diff --git a/workflow/notebooks/iqtree_stats.py.ipynb b/workflow/notebooks/iqtree_stats.py.ipynb
index ad89272e..06d724a9 100644
--- a/workflow/notebooks/iqtree_stats.py.ipynb
+++ b/workflow/notebooks/iqtree_stats.py.ipynb
@@ -5,20 +5,7 @@
    "id": "signed-investigator",
    "metadata": {},
    "source": [
-    "# IQTREE Stats Notebook\n",
-    "\n",
-    "## 0. **Setup**\n",
-    "\n",
-    "## 1. **Import**\n",
-    "\n",
-    "## 2. **Root-To-Tip Regression**  \n",
-    "\n",
-    "- Calculate Clade And Root Distances\n",
-    "\n",
-    "\n",
-    "## 3. **Isolation By Distance**  \n",
-    "\n",
-    "## 4. **Timeline**\n"
+    "# IQTREE Stats Notebook"
    ]
   },
   {
@@ -63,7 +50,9 @@
     "import statsmodels.stats.multitest as smmt\n",
     "import math\n",
     "from skbio.stats import distance as skbio_dist\n",
-    "from functions import *"
+    "from functions import *\n",
+    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n",
+    "import sklearn"
    ]
   },
   {
@@ -85,7 +74,7 @@
     "    WILDCARDS = snakemake.wildcards\n",
     "    project_dir = os.getcwd()\n",
     "except NameError:\n",
-    "    WILDCARDS = [\"all\", \"chromosome\", \"full\", \"30\"]\n",
+    "    WILDCARDS = [\"all\", \"chromosome\", \"full\", \"5\"]\n",
     "    project_dir = os.path.dirname(os.path.dirname(os.getcwd()))\n",
     "      \n",
     "results_dir = os.path.join(project_dir, \"results/\")\n",
@@ -119,11 +108,6 @@
     "    full_metadata_path = metadata_path\n",
     "\n",
     "# ------------------------------------------\n",
-    "# Alignment\n",
-    "constant_sites_path   = results_dir + \"snippy_multi/all/chromosome/full/snippy-multi.constant_sites.txt\"\n",
-    "aln_path              = iqtree_dir + \"filter-sites/snippy-multi.snps.aln\"\n",
-    "\n",
-    "# ------------------------------------------\n",
     "# Output\n",
     "out_dir = iqtree_dir    + \"filter-taxa/\"\n",
     "if not os.path.exists(out_dir):\n",
@@ -150,8 +134,6 @@
     "np.random.seed(1235423134)\n",
     "\n",
     "NO_DATA_CHAR = \"NA\"\n",
-    "UNKNOWN_CHAR = \"?\"\n",
-    "CONFIDENCE = 95\n",
     "ALPHA = 0.05\n",
     "\n",
     "# ------------------------------------------\n",
@@ -165,56 +147,11 @@
     "world_polygons = geopandas.read_file(geopandas.datasets.get_path(\"naturalearth_lowres\"))\n",
     "\n",
     "# ------------------------------------------\n",
-    "# Alignment\n",
-    "with open(constant_sites_path) as infile:\n",
-    "    data = infile.read().strip().split(\",\")\n",
-    "    constant_sites = sum([int(count) for count in data])\n",
-    "\n",
-    "aln = AlignIO.read(aln_path, \"fasta\")\n",
-    "variant_sites = len(aln[0].seq)\n",
-    "SEQ_LEN = constant_sites + variant_sites\n",
-    "\n",
-    "# ------------------------------------------\n",
     "# Plotting\n",
-    "SM_FONT = 4\n",
-    "MED_FONT = 6\n",
-    "LG_FONT = 8\n",
-    "D3_PAL = [\"#1f77b4\", \"#ff7f0e\", \"#2ca02c\", \"#d62728\", \"#9467bd\", \"#8c564b\", \"#e377c2\", \"#7f7f7f\", \"#bcbd22\", \"#17becf\" ]\n",
-    "plt.rcParams['axes.facecolor']='white'\n",
-    "plt.rcParams['savefig.facecolor']='white'\n",
-    "plt.rcParams['savefig.dpi']=400\n",
-    "\n",
-    "# ------------------------------------------\n",
-    "BRANCH_LIST = {\n",
-    "    \"0.PRE\": [\"0.PRE1\", \"0.PRE2\"],   \n",
-    "    # Exclude ancient  0.PE8, \n",
-    "    \"0.PE\": [\"0.PE2\", \"0.PE4m\", \"0.PE4m\", \"0.PE4t\", \"0.PE4a\", \"0.PE5\", \"0.PE7\", \"0.PE10\"],      \n",
-    "    #\"0.PE\": [\"0.PE2\", \"0.PE4m\", \"0.PE4m\", \"0.PE4t\", \"0.PE4a\", \"0.PE5\", \"0.PE7\", \"0.PE8\", \"0.PE10\"],  \n",
-    "    \"0.ANT\": [\"0.ANT1\", \"0.ANT2\",\"0.ANT3\",\"0.ANT5\"],\n",
-    "    #\"0.ANT\": [\"0.ANT1\", \"0.ANT2\",\"0.ANT3\",\"0.ANT4\",\"0.ANT5\"], \n",
-    "    \"0.ANT4\" : [\"0.ANT4\"],     \n",
-    "    \"1.PRE\" : [\"1.PRE0\", \"1.PRE1\", \"1.PRE2\", \"1.PRE3\"],    \n",
-    "    \"1.ANT\": [\"1.ANT1\"], \n",
-    "    \"1.IN\": [\"1.IN1\",\"1.IN2\",\"1.IN3\"],   \n",
-    "    \"1.ORI\" : [\"1.ORI1\", \"1.ORI2\", \"1.ORI3\"],\n",
-    "    \"2.ANT\": [\"2.ANT1\",\"2.ANT2\",\"2.ANT3\" ], \n",
-    "    \"2.MED\": [\"2.MED0\", \"2.MED1\",\"2.MED2\",\"2.MED3\" ], \n",
-    "    \"3.ANT\": [\"3.ANT1\", \"3.ANT2\" ],     \n",
-    "    \"4.ANT\": [\"4.ANT1\" ],           \n",
-    "}\n",
-    "\n",
-    "ANCIENT_BRANCH_LIST = {\n",
-    "    \"0.PRE\": [\"0.PRE1\", \"0.PRE2\"], \n",
-    "    \"0.ANT4\" : [\"0.ANT4\"],  \n",
-    "    \"1.PRE\" : [\"1.PRE1\", \"1.PRE2\", \"1.PRE3\"],     \n",
-    "}\n",
-    "\n",
-    "MUG_ATTRIBUTE_LIST = [\n",
-    "    \"branch_major\",\n",
-    "    \"branch_minor\",\n",
-    "    \"country\",\n",
-    "    \"province\",\n",
-    "]"
+    "plt.rcParams['axes.facecolor']    ='white'\n",
+    "plt.rcParams['savefig.facecolor'] ='white'\n",
+    "plt.rcParams['savefig.dpi']       = 400\n",
+    "plt.rcParams['svg.fonttype']      = 'none'"
    ]
   },
   {
@@ -288,553 +225,28 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'1.PRE': '#8000ff'}\n"
+      "{'0.PRE': '#8000ff', '0.PE': '#5148fc', '0.ANT': '#238af5', '0.ANT4': '#0cc1e8', '3.ANT': '#3ae8d7', '4.ANT': '#68fcc1', '2.ANT': '#97fca7', '2.MED': '#c5e88a', '1.PRE': '#f3c16a', '1.ANT': '#ff8a48', '1.IN': '#ff4824', '1.ORI': '#ff0000', 'NA': '#c4c4c4'}\n"
      ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>strain</th>\n",
-       "      <th>date</th>\n",
-       "      <th>date_bp</th>\n",
-       "      <th>country</th>\n",
-       "      <th>province</th>\n",
-       "      <th>country_lat</th>\n",
-       "      <th>country_lon</th>\n",
-       "      <th>province_lat</th>\n",
-       "      <th>province_lon</th>\n",
-       "      <th>biovar</th>\n",
-       "      <th>branch_major</th>\n",
-       "      <th>branch_minor</th>\n",
-       "      <th>biosample_accession</th>\n",
-       "      <th>biosample_comment</th>\n",
-       "      <th>branch_number</th>\n",
-       "      <th>continent</th>\n",
-       "      <th>date_mean</th>\n",
-       "      <th>date_bp_mean</th>\n",
-       "      <th>date_err</th>\n",
-       "      <th>lat</th>\n",
-       "      <th>lon</th>\n",
-       "      <th>host_human</th>\n",
-       "      <th>branch_major_color</th>\n",
-       "      <th>geometry_size</th>\n",
-       "      <th>geometry</th>\n",
-       "      <th>root_rtt_dist</th>\n",
-       "      <th>clade_rtt_dist</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>sample</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>SAMEA5818830</th>\n",
-       "      <td>STN021</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818830</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.4119773 46.942756)</td>\n",
-       "      <td>0.000012</td>\n",
-       "      <td>0.000012</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SAMEA5818829</th>\n",
-       "      <td>STN020</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818829</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.4119773 46.942756)</td>\n",
-       "      <td>0.000012</td>\n",
-       "      <td>0.000012</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SAMEA5818828</th>\n",
-       "      <td>STN019</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818828</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.4119773 46.942756)</td>\n",
-       "      <td>0.000012</td>\n",
-       "      <td>0.000012</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SAMEA5818826</th>\n",
-       "      <td>STN014</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818826</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.4119773 46.942756)</td>\n",
-       "      <td>0.000012</td>\n",
-       "      <td>0.000012</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SAMEA5818825</th>\n",
-       "      <td>STN013</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818825</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.4119773 46.942756)</td>\n",
-       "      <td>0.000012</td>\n",
-       "      <td>0.000012</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>D75</th>\n",
-       "      <td>G861x1035</td>\n",
-       "      <td>[1200:1560]</td>\n",
-       "      <td>[-821:-461]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Region of Southern Denmark</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>55.378426</td>\n",
-       "      <td>9.131806</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>D75</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1380.0</td>\n",
-       "      <td>641.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>55.378426</td>\n",
-       "      <td>9.131806</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>POINT (9.131806374501609 55.37842625)</td>\n",
-       "      <td>0.000011</td>\n",
-       "      <td>0.000011</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>P187</th>\n",
-       "      <td>A146x3011</td>\n",
-       "      <td>[1150:1574]</td>\n",
-       "      <td>[-871:-447]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Central Denmark Region</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>P187</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1362.0</td>\n",
-       "      <td>659.0</td>\n",
-       "      <td>212.0</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>POINT (9.234625027778005 56.23564835)</td>\n",
-       "      <td>0.000007</td>\n",
-       "      <td>0.000007</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>P212</th>\n",
-       "      <td>G371</td>\n",
-       "      <td>[1150:1350]</td>\n",
-       "      <td>[-871:-671]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Central Denmark Region</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>P212</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1250.0</td>\n",
-       "      <td>771.0</td>\n",
-       "      <td>100.0</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>POINT (9.234625027778005 56.23564835)</td>\n",
-       "      <td>0.000009</td>\n",
-       "      <td>0.000009</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>P387</th>\n",
-       "      <td>A1480x1480</td>\n",
-       "      <td>[1100:1500]</td>\n",
-       "      <td>[-921:-521]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Central Denmark Region</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>P387</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1300.0</td>\n",
-       "      <td>721.0</td>\n",
-       "      <td>200.0</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>POINT (9.234625027778005 56.23564835)</td>\n",
-       "      <td>0.000009</td>\n",
-       "      <td>0.000009</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>R36</th>\n",
-       "      <td>G25Bx98</td>\n",
-       "      <td>[1200:1560]</td>\n",
-       "      <td>[-821:-461]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Region of Southern Denmark</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>55.378426</td>\n",
-       "      <td>9.131806</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>R36</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1380.0</td>\n",
-       "      <td>641.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>55.378426</td>\n",
-       "      <td>9.131806</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>POINT (9.131806374501609 55.37842625)</td>\n",
-       "      <td>0.000003</td>\n",
-       "      <td>0.000003</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>49 rows × 27 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  strain         date      date_bp      country  \\\n",
-       "sample                                                            \n",
-       "SAMEA5818830      STN021  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "SAMEA5818829      STN020  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "SAMEA5818828      STN019  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "SAMEA5818826      STN014  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "SAMEA5818825      STN013  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "...                  ...          ...          ...          ...   \n",
-       "D75            G861x1035  [1200:1560]  [-821:-461]      Denmark   \n",
-       "P187           A146x3011  [1150:1574]  [-871:-447]      Denmark   \n",
-       "P212                G371  [1150:1350]  [-871:-671]      Denmark   \n",
-       "P387          A1480x1480  [1100:1500]  [-921:-521]      Denmark   \n",
-       "R36              G25Bx98  [1200:1560]  [-821:-461]      Denmark   \n",
-       "\n",
-       "                                province  country_lat  country_lon  \\\n",
-       "sample                                                               \n",
-       "SAMEA5818830                   Nidwalden    46.798562     8.231974   \n",
-       "SAMEA5818829                   Nidwalden    46.798562     8.231974   \n",
-       "SAMEA5818828                   Nidwalden    46.798562     8.231974   \n",
-       "SAMEA5818826                   Nidwalden    46.798562     8.231974   \n",
-       "SAMEA5818825                   Nidwalden    46.798562     8.231974   \n",
-       "...                                  ...          ...          ...   \n",
-       "D75           Region of Southern Denmark    55.670249    10.333328   \n",
-       "P187              Central Denmark Region    55.670249    10.333328   \n",
-       "P212              Central Denmark Region    55.670249    10.333328   \n",
-       "P387              Central Denmark Region    55.670249    10.333328   \n",
-       "R36           Region of Southern Denmark    55.670249    10.333328   \n",
-       "\n",
-       "              province_lat  province_lon           biovar branch_major  \\\n",
-       "sample                                                                   \n",
-       "SAMEA5818830     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "SAMEA5818829     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "SAMEA5818828     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "SAMEA5818826     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "SAMEA5818825     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "...                    ...           ...              ...          ...   \n",
-       "D75              55.378426      9.131806  Second Pandemic        1.PRE   \n",
-       "P187             56.235648      9.234625  Second Pandemic        1.PRE   \n",
-       "P212             56.235648      9.234625  Second Pandemic        1.PRE   \n",
-       "P387             56.235648      9.234625  Second Pandemic        1.PRE   \n",
-       "R36              55.378426      9.131806  Second Pandemic        1.PRE   \n",
-       "\n",
-       "             branch_minor biosample_accession            biosample_comment  \\\n",
-       "sample                                                                       \n",
-       "SAMEA5818830       1.PRE1        SAMEA5818830            KEEP: SRA Ancient   \n",
-       "SAMEA5818829       1.PRE1        SAMEA5818829            KEEP: SRA Ancient   \n",
-       "SAMEA5818828       1.PRE1        SAMEA5818828            KEEP: SRA Ancient   \n",
-       "SAMEA5818826       1.PRE1        SAMEA5818826            KEEP: SRA Ancient   \n",
-       "SAMEA5818825       1.PRE1        SAMEA5818825            KEEP: SRA Ancient   \n",
-       "...                   ...                 ...                          ...   \n",
-       "D75                1.PRE1                 D75  KEEP: Local Ancient Denmark   \n",
-       "P187               1.PRE1                P187  KEEP: Local Ancient Denmark   \n",
-       "P212               1.PRE1                P212  KEEP: Local Ancient Denmark   \n",
-       "P387               1.PRE1                P387  KEEP: Local Ancient Denmark   \n",
-       "R36                1.PRE1                 R36  KEEP: Local Ancient Denmark   \n",
-       "\n",
-       "              branch_number continent  date_mean  date_bp_mean  date_err  \\\n",
-       "sample                                                                     \n",
-       "SAMEA5818830              1    Europe     1560.0         461.0      75.0   \n",
-       "SAMEA5818829              1    Europe     1560.0         461.0      75.0   \n",
-       "SAMEA5818828              1    Europe     1560.0         461.0      75.0   \n",
-       "SAMEA5818826              1    Europe     1560.0         461.0      75.0   \n",
-       "SAMEA5818825              1    Europe     1560.0         461.0      75.0   \n",
-       "...                     ...       ...        ...           ...       ...   \n",
-       "D75                       1    Europe     1380.0         641.0     180.0   \n",
-       "P187                      1    Europe     1362.0         659.0     212.0   \n",
-       "P212                      1    Europe     1250.0         771.0     100.0   \n",
-       "P387                      1    Europe     1300.0         721.0     200.0   \n",
-       "R36                       1    Europe     1380.0         641.0     180.0   \n",
-       "\n",
-       "                    lat       lon host_human branch_major_color  \\\n",
-       "sample                                                            \n",
-       "SAMEA5818830  46.942756  8.411977      Human            #8000ff   \n",
-       "SAMEA5818829  46.942756  8.411977      Human            #8000ff   \n",
-       "SAMEA5818828  46.942756  8.411977      Human            #8000ff   \n",
-       "SAMEA5818826  46.942756  8.411977      Human            #8000ff   \n",
-       "SAMEA5818825  46.942756  8.411977      Human            #8000ff   \n",
-       "...                 ...       ...        ...                ...   \n",
-       "D75           55.378426  9.131806      Human            #8000ff   \n",
-       "P187          56.235648  9.234625      Human            #8000ff   \n",
-       "P212          56.235648  9.234625      Human            #8000ff   \n",
-       "P387          56.235648  9.234625      Human            #8000ff   \n",
-       "R36           55.378426  9.131806      Human            #8000ff   \n",
-       "\n",
-       "              geometry_size                               geometry  \\\n",
-       "sample                                                               \n",
-       "SAMEA5818830            8.0            POINT (8.4119773 46.942756)   \n",
-       "SAMEA5818829            8.0            POINT (8.4119773 46.942756)   \n",
-       "SAMEA5818828            8.0            POINT (8.4119773 46.942756)   \n",
-       "SAMEA5818826            8.0            POINT (8.4119773 46.942756)   \n",
-       "SAMEA5818825            8.0            POINT (8.4119773 46.942756)   \n",
-       "...                     ...                                    ...   \n",
-       "D75                     5.0  POINT (9.131806374501609 55.37842625)   \n",
-       "P187                    4.0  POINT (9.234625027778005 56.23564835)   \n",
-       "P212                    4.0  POINT (9.234625027778005 56.23564835)   \n",
-       "P387                    4.0  POINT (9.234625027778005 56.23564835)   \n",
-       "R36                     5.0  POINT (9.131806374501609 55.37842625)   \n",
-       "\n",
-       "              root_rtt_dist  clade_rtt_dist  \n",
-       "sample                                       \n",
-       "SAMEA5818830       0.000012        0.000012  \n",
-       "SAMEA5818829       0.000012        0.000012  \n",
-       "SAMEA5818828       0.000012        0.000012  \n",
-       "SAMEA5818826       0.000012        0.000012  \n",
-       "SAMEA5818825       0.000012        0.000012  \n",
-       "...                     ...             ...  \n",
-       "D75                0.000011        0.000011  \n",
-       "P187               0.000007        0.000007  \n",
-       "P212               0.000009        0.000009  \n",
-       "P387               0.000009        0.000009  \n",
-       "R36                0.000003        0.000003  \n",
-       "\n",
-       "[49 rows x 27 columns]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
     "colors_dict = {}\n",
     "\n",
+    "# Initialize columns\n",
+    "metadata_df[\"population_color\"] = [NO_DATA_CHAR] * len(metadata_df)\n",
+    "metadata_df[\"population\"]       = [NO_DATA_CHAR] * len(metadata_df)\n",
+    "\n",
     "# Colors dictionary is based off full tree\n",
     "for t in full_divtree.get_terminals():\n",
-    "    branch = full_metadata_df[\"branch_major\"][t.name]\n",
-    "    if branch not in colors_dict and branch != NO_DATA_CHAR:\n",
-    "        colors_dict[branch] = \"\"\n",
+    "    branch_minor = full_metadata_df[\"branch_minor\"][t.name]\n",
+    "    branch_major = full_metadata_df[\"branch_major\"][t.name]\n",
+    "    population = branch_major\n",
+    "    if branch_minor == \"0.ANT4\":\n",
+    "        population = branch_minor\n",
+    "    metadata_df.at[t.name, \"population\"] = population\n",
+    "    if population not in colors_dict and population != NO_DATA_CHAR:\n",
+    "        colors_dict[population] = \"\"\n",
+    "\n",
     "\n",
     "# Create the custom color map (pyplot)\n",
     "cmap = plt.get_cmap(\"rainbow\", len(colors_dict))\n",
@@ -844,23 +256,19 @@
     "attr_hex = [colors.to_hex(col) for col in cmaplist]\n",
     "\n",
     "# Assign colors to value\n",
-    "for branch, color in zip(colors_dict, attr_hex):\n",
-    "    colors_dict[branch] = color\n",
-    "\n",
-    "print(colors_dict)\n",
-    "\n",
-    "\n",
-    "# Branch Major Clor\n",
-    "metadata_df[\"branch_major_color\"] = [NO_DATA_CHAR] * len(metadata_df)\n",
+    "for population, color in zip(colors_dict, attr_hex):\n",
+    "    colors_dict[population] = color\n",
+    "# Add NA\n",
+    "colors_dict[NO_DATA_CHAR] = \"#c4c4c4\"\n",
     "\n",
     "for c in divtree.get_terminals():\n",
     "    sample = c.name\n",
-    "    # Clade Color  \n",
-    "    branch_major = metadata_df[\"branch_major\"][sample]\n",
-    "    branch_major_color = colors_dict[branch_major]\n",
-    "    metadata_df.at[sample, \"branch_major_color\"] = branch_major_color\n",
+    "    population = metadata_df[\"population\"][c.name]\n",
+    "    population_color = colors_dict[population]\n",
+    "    metadata_df.at[sample, \"population_color\"] = population_color\n",
     "\n",
-    "display(metadata_df)"
+    "print(colors_dict)\n",
+    "#display(metadata_df)"
    ]
   },
   {
@@ -920,11 +328,16 @@
        "      <th>lat</th>\n",
        "      <th>lon</th>\n",
        "      <th>host_human</th>\n",
-       "      <th>branch_major_color</th>\n",
-       "      <th>geometry_size</th>\n",
+       "      <th>sequencing_technology</th>\n",
+       "      <th>assembly_method</th>\n",
+       "      <th>host_raw</th>\n",
+       "      <th>host_order</th>\n",
+       "      <th>population_color</th>\n",
+       "      <th>population</th>\n",
        "      <th>geometry</th>\n",
        "      <th>root_rtt_dist</th>\n",
        "      <th>clade_rtt_dist</th>\n",
+       "      <th>population_rtt_dist</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sample</th>\n",
@@ -955,157 +368,187 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>SAMEA5818830</th>\n",
-       "      <td>STN021</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818830</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
+       "      <th>Reference</th>\n",
+       "      <td>CO92</td>\n",
+       "      <td>1992</td>\n",
+       "      <td>-29</td>\n",
+       "      <td>United States of America</td>\n",
+       "      <td>Colorado</td>\n",
+       "      <td>39.783730</td>\n",
+       "      <td>-100.445882</td>\n",
+       "      <td>38.7252</td>\n",
+       "      <td>-105.608</td>\n",
+       "      <td>Orientalis</td>\n",
+       "      <td>1.ORI</td>\n",
+       "      <td>1.ORI1</td>\n",
+       "      <td>SAMEA1705942</td>\n",
+       "      <td>KEEP: Assembly Modern Reference</td>\n",
        "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
+       "      <td>North America</td>\n",
+       "      <td>1992.0</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>38.725178</td>\n",
+       "      <td>-105.607716</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.41198 46.94276)</td>\n",
-       "      <td>0.000012</td>\n",
-       "      <td>0.000012</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>#ff0000</td>\n",
+       "      <td>1.ORI</td>\n",
+       "      <td>POINT (-105.60772 38.72518)</td>\n",
+       "      <td>0.000073</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>0.000006</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SAMEA5818829</th>\n",
-       "      <td>STN020</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818829</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
+       "      <th>GCA_009909635.1_ASM990963v1_genomic</th>\n",
+       "      <td>9_10</td>\n",
+       "      <td>1923.0</td>\n",
+       "      <td>-98</td>\n",
+       "      <td>Russia</td>\n",
+       "      <td>Rostov Oblast</td>\n",
+       "      <td>64.686314</td>\n",
+       "      <td>97.745306</td>\n",
+       "      <td>47.6222</td>\n",
+       "      <td>40.7958</td>\n",
+       "      <td>Medievalis</td>\n",
+       "      <td>2.MED</td>\n",
+       "      <td>2.MED1</td>\n",
+       "      <td>SAMN13632815</td>\n",
+       "      <td>KEEP: Assembly Modern</td>\n",
+       "      <td>2</td>\n",
        "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
+       "      <td>1923.0</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>47.622245</td>\n",
+       "      <td>40.795794</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.41198 46.94276)</td>\n",
-       "      <td>0.000012</td>\n",
-       "      <td>0.000012</td>\n",
+       "      <td>IonTorrent</td>\n",
+       "      <td>Newbler v. 2.6</td>\n",
+       "      <td>Homo sapiens</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>#c5e88a</td>\n",
+       "      <td>2.MED</td>\n",
+       "      <td>POINT (40.79579 47.62225)</td>\n",
+       "      <td>0.000073</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>0.000010</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SAMEA5818828</th>\n",
-       "      <td>STN019</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818828</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.41198 46.94276)</td>\n",
-       "      <td>0.000012</td>\n",
+       "      <th>GCA_009669545.1_ASM966954v1_genomic</th>\n",
+       "      <td>42126</td>\n",
+       "      <td>2006.0</td>\n",
+       "      <td>-15</td>\n",
+       "      <td>China</td>\n",
+       "      <td>Xinjiang</td>\n",
+       "      <td>35.000074</td>\n",
+       "      <td>104.999927</td>\n",
+       "      <td>42.4805</td>\n",
+       "      <td>85.4633</td>\n",
+       "      <td>Antiqua</td>\n",
+       "      <td>0.ANT</td>\n",
+       "      <td>0.ANT1</td>\n",
+       "      <td>SAMN07722925</td>\n",
+       "      <td>KEEP: Assembly Modern</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Asia</td>\n",
+       "      <td>2006.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>42.480495</td>\n",
+       "      <td>85.463346</td>\n",
+       "      <td>Non-Human</td>\n",
+       "      <td>Illumina Hiseq 2000</td>\n",
+       "      <td>SOAPdenovo v. 2.04</td>\n",
+       "      <td>Citellus undulatus</td>\n",
+       "      <td>Rodentia</td>\n",
+       "      <td>#238af5</td>\n",
+       "      <td>0.ANT</td>\n",
+       "      <td>POINT (85.46335 42.48050)</td>\n",
+       "      <td>0.000054</td>\n",
+       "      <td>NA</td>\n",
        "      <td>0.000012</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SAMEA5818826</th>\n",
-       "      <td>STN014</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818826</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.41198 46.94276)</td>\n",
-       "      <td>0.000012</td>\n",
+       "      <th>GCA_009669555.1_ASM966955v1_genomic</th>\n",
+       "      <td>42123</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>-16</td>\n",
+       "      <td>China</td>\n",
+       "      <td>Xinjiang</td>\n",
+       "      <td>35.000074</td>\n",
+       "      <td>104.999927</td>\n",
+       "      <td>42.4805</td>\n",
+       "      <td>85.4633</td>\n",
+       "      <td>Antiqua</td>\n",
+       "      <td>0.ANT</td>\n",
+       "      <td>0.ANT1</td>\n",
+       "      <td>SAMN07722924</td>\n",
+       "      <td>KEEP: Assembly Modern</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Asia</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>42.480495</td>\n",
+       "      <td>85.463346</td>\n",
+       "      <td>Non-Human</td>\n",
+       "      <td>Illumina Hiseq 2000</td>\n",
+       "      <td>SOAPdenovo v. 2.04</td>\n",
+       "      <td>Frontopsylla elatoides</td>\n",
+       "      <td>Siphonaptera</td>\n",
+       "      <td>#238af5</td>\n",
+       "      <td>0.ANT</td>\n",
+       "      <td>POINT (85.46335 42.48050)</td>\n",
+       "      <td>0.000055</td>\n",
+       "      <td>NA</td>\n",
        "      <td>0.000012</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SAMEA5818825</th>\n",
-       "      <td>STN013</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818825</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.41198 46.94276)</td>\n",
-       "      <td>0.000012</td>\n",
+       "      <th>GCA_009669565.1_ASM966956v1_genomic</th>\n",
+       "      <td>42118</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>-16</td>\n",
+       "      <td>China</td>\n",
+       "      <td>Xinjiang</td>\n",
+       "      <td>35.000074</td>\n",
+       "      <td>104.999927</td>\n",
+       "      <td>42.4805</td>\n",
+       "      <td>85.4633</td>\n",
+       "      <td>Antiqua</td>\n",
+       "      <td>0.ANT</td>\n",
+       "      <td>0.ANT1</td>\n",
+       "      <td>SAMN07722923</td>\n",
+       "      <td>KEEP: Assembly Modern</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Asia</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>42.480495</td>\n",
+       "      <td>85.463346</td>\n",
+       "      <td>Non-Human</td>\n",
+       "      <td>Illumina Hiseq 2000</td>\n",
+       "      <td>SOAPdenovo v. 2.04</td>\n",
+       "      <td>Citellus undulatus</td>\n",
+       "      <td>Rodentia</td>\n",
+       "      <td>#238af5</td>\n",
+       "      <td>0.ANT</td>\n",
+       "      <td>POINT (85.46335 42.48050)</td>\n",
+       "      <td>0.000055</td>\n",
+       "      <td>NA</td>\n",
        "      <td>0.000012</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1137,348 +580,516 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>D75</th>\n",
-       "      <td>G861x1035</td>\n",
-       "      <td>[1200:1560]</td>\n",
-       "      <td>[-821:-461]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Region of Southern Denmark</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>55.378426</td>\n",
-       "      <td>9.131806</td>\n",
+       "      <th>SAMEA7313243_45</th>\n",
+       "      <td>Azov38</td>\n",
+       "      <td>[1400:1700]</td>\n",
+       "      <td>[-621:-321]</td>\n",
+       "      <td>Russia</td>\n",
+       "      <td>Rostov Oblast</td>\n",
+       "      <td>64.686314</td>\n",
+       "      <td>97.745306</td>\n",
+       "      <td>47.6222</td>\n",
+       "      <td>40.7958</td>\n",
        "      <td>Second Pandemic</td>\n",
        "      <td>1.PRE</td>\n",
        "      <td>1.PRE1</td>\n",
-       "      <td>D75</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
+       "      <td>SAMEA7313243_45</td>\n",
+       "      <td>KEEP: SRA Ancient Combined Record</td>\n",
        "      <td>1</td>\n",
        "      <td>Europe</td>\n",
-       "      <td>1380.0</td>\n",
-       "      <td>641.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>55.378426</td>\n",
-       "      <td>9.131806</td>\n",
+       "      <td>1550.0</td>\n",
+       "      <td>471.0</td>\n",
+       "      <td>150.0</td>\n",
+       "      <td>47.622245</td>\n",
+       "      <td>40.795794</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>NextSeq 500</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>Homo sapiens</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>POINT (9.13181 55.37843)</td>\n",
-       "      <td>0.000011</td>\n",
-       "      <td>0.000011</td>\n",
+       "      <td>#f3c16a</td>\n",
+       "      <td>1.PRE</td>\n",
+       "      <td>POINT (40.79579 47.62225)</td>\n",
+       "      <td>0.000075</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>0.000022</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>P187</th>\n",
-       "      <td>A146x3011</td>\n",
-       "      <td>[1150:1574]</td>\n",
-       "      <td>[-871:-447]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Central Denmark Region</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
+       "      <th>SAMEA7313246_49</th>\n",
+       "      <td>Gdansk8</td>\n",
+       "      <td>[1400:1700]</td>\n",
+       "      <td>[-621:-321]</td>\n",
+       "      <td>Poland</td>\n",
+       "      <td>Pomeranian Voivodeship</td>\n",
+       "      <td>52.215933</td>\n",
+       "      <td>19.134422</td>\n",
+       "      <td>54.2456</td>\n",
+       "      <td>18.1099</td>\n",
        "      <td>Second Pandemic</td>\n",
        "      <td>1.PRE</td>\n",
        "      <td>1.PRE1</td>\n",
-       "      <td>P187</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
+       "      <td>SAMEA7313246_49</td>\n",
+       "      <td>KEEP: SRA Ancient Combined Record</td>\n",
        "      <td>1</td>\n",
        "      <td>Europe</td>\n",
-       "      <td>1362.0</td>\n",
-       "      <td>659.0</td>\n",
-       "      <td>212.0</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
+       "      <td>1550.0</td>\n",
+       "      <td>471.0</td>\n",
+       "      <td>150.0</td>\n",
+       "      <td>54.245560</td>\n",
+       "      <td>18.109900</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>POINT (9.23463 56.23565)</td>\n",
-       "      <td>0.000007</td>\n",
+       "      <td>NextSeq 500</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>Homo sapiens</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>#f3c16a</td>\n",
+       "      <td>1.PRE</td>\n",
+       "      <td>POINT (18.10990 54.24556)</td>\n",
+       "      <td>0.000060</td>\n",
+       "      <td>NA</td>\n",
        "      <td>0.000007</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>P212</th>\n",
-       "      <td>G371</td>\n",
-       "      <td>[1150:1350]</td>\n",
-       "      <td>[-871:-671]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Central Denmark Region</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
+       "      <th>SAMEA6651390</th>\n",
+       "      <td>AGU010</td>\n",
+       "      <td>[1435:1477]</td>\n",
+       "      <td>[-586:-544]</td>\n",
+       "      <td>Lithuania</td>\n",
+       "      <td>Vilnius County</td>\n",
+       "      <td>55.350000</td>\n",
+       "      <td>23.750000</td>\n",
+       "      <td>54.8227</td>\n",
+       "      <td>25.2495</td>\n",
        "      <td>Second Pandemic</td>\n",
        "      <td>1.PRE</td>\n",
        "      <td>1.PRE1</td>\n",
-       "      <td>P212</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
+       "      <td>SAMEA6651390</td>\n",
+       "      <td>KEEP: SRA Ancient</td>\n",
        "      <td>1</td>\n",
        "      <td>Europe</td>\n",
-       "      <td>1250.0</td>\n",
-       "      <td>771.0</td>\n",
-       "      <td>100.0</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
+       "      <td>1456.0</td>\n",
+       "      <td>565.0</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>54.822692</td>\n",
+       "      <td>25.249534</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>NextSeq 500</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>Homo sapiens</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>POINT (9.23463 56.23565)</td>\n",
-       "      <td>0.000009</td>\n",
-       "      <td>0.000009</td>\n",
+       "      <td>#f3c16a</td>\n",
+       "      <td>1.PRE</td>\n",
+       "      <td>POINT (25.24953 54.82269)</td>\n",
+       "      <td>0.000060</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>0.000006</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>P387</th>\n",
-       "      <td>A1480x1480</td>\n",
-       "      <td>[1100:1500]</td>\n",
-       "      <td>[-921:-521]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Central Denmark Region</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
+       "      <th>SAMEA6637004</th>\n",
+       "      <td>AGU025</td>\n",
+       "      <td>[1441:1612]</td>\n",
+       "      <td>[-580:-409]</td>\n",
+       "      <td>Lithuania</td>\n",
+       "      <td>Vilnius County</td>\n",
+       "      <td>55.350000</td>\n",
+       "      <td>23.750000</td>\n",
+       "      <td>54.8227</td>\n",
+       "      <td>25.2495</td>\n",
        "      <td>Second Pandemic</td>\n",
        "      <td>1.PRE</td>\n",
        "      <td>1.PRE1</td>\n",
-       "      <td>P387</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
+       "      <td>SAMEA6637004</td>\n",
+       "      <td>KEEP: SRA Ancient</td>\n",
        "      <td>1</td>\n",
        "      <td>Europe</td>\n",
-       "      <td>1300.0</td>\n",
-       "      <td>721.0</td>\n",
-       "      <td>200.0</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
+       "      <td>1526.5</td>\n",
+       "      <td>494.5</td>\n",
+       "      <td>85.5</td>\n",
+       "      <td>54.822692</td>\n",
+       "      <td>25.249534</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>NextSeq 500</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>Homo sapiens</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>POINT (9.23463 56.23565)</td>\n",
-       "      <td>0.000009</td>\n",
-       "      <td>0.000009</td>\n",
+       "      <td>#f3c16a</td>\n",
+       "      <td>1.PRE</td>\n",
+       "      <td>POINT (25.24953 54.82269)</td>\n",
+       "      <td>0.000061</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>0.000007</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>R36</th>\n",
-       "      <td>G25Bx98</td>\n",
-       "      <td>[1200:1560]</td>\n",
-       "      <td>[-821:-461]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Region of Southern Denmark</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>55.378426</td>\n",
-       "      <td>9.131806</td>\n",
+       "      <th>SAMEA6637002</th>\n",
+       "      <td>AGU007B</td>\n",
+       "      <td>[1463:1632]</td>\n",
+       "      <td>[-558:-389]</td>\n",
+       "      <td>Lithuania</td>\n",
+       "      <td>Vilnius County</td>\n",
+       "      <td>55.350000</td>\n",
+       "      <td>23.750000</td>\n",
+       "      <td>54.8227</td>\n",
+       "      <td>25.2495</td>\n",
        "      <td>Second Pandemic</td>\n",
        "      <td>1.PRE</td>\n",
        "      <td>1.PRE1</td>\n",
-       "      <td>R36</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
+       "      <td>SAMEA6637002</td>\n",
+       "      <td>KEEP: SRA Ancient</td>\n",
        "      <td>1</td>\n",
        "      <td>Europe</td>\n",
-       "      <td>1380.0</td>\n",
-       "      <td>641.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>55.378426</td>\n",
-       "      <td>9.131806</td>\n",
+       "      <td>1547.5</td>\n",
+       "      <td>473.5</td>\n",
+       "      <td>84.5</td>\n",
+       "      <td>54.822692</td>\n",
+       "      <td>25.249534</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>Illumina HiSeq 4000</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>Homo sapiens</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>POINT (9.13181 55.37843)</td>\n",
-       "      <td>0.000003</td>\n",
-       "      <td>0.000003</td>\n",
+       "      <td>#f3c16a</td>\n",
+       "      <td>1.PRE</td>\n",
+       "      <td>POINT (25.24953 54.82269)</td>\n",
+       "      <td>0.000060</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>0.000006</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>49 rows × 27 columns</p>\n",
+       "<p>601 rows × 32 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                  strain         date      date_bp      country  \\\n",
-       "sample                                                            \n",
-       "SAMEA5818830      STN021  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "SAMEA5818829      STN020  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "SAMEA5818828      STN019  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "SAMEA5818826      STN014  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "SAMEA5818825      STN013  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "...                  ...          ...          ...          ...   \n",
-       "D75            G861x1035  [1200:1560]  [-821:-461]      Denmark   \n",
-       "P187           A146x3011  [1150:1574]  [-871:-447]      Denmark   \n",
-       "P212                G371  [1150:1350]  [-871:-671]      Denmark   \n",
-       "P387          A1480x1480  [1100:1500]  [-921:-521]      Denmark   \n",
-       "R36              G25Bx98  [1200:1560]  [-821:-461]      Denmark   \n",
+       "                                      strain         date      date_bp  \\\n",
+       "sample                                                                   \n",
+       "Reference                               CO92         1992          -29   \n",
+       "GCA_009909635.1_ASM990963v1_genomic     9_10       1923.0          -98   \n",
+       "GCA_009669545.1_ASM966954v1_genomic    42126       2006.0          -15   \n",
+       "GCA_009669555.1_ASM966955v1_genomic    42123       2005.0          -16   \n",
+       "GCA_009669565.1_ASM966956v1_genomic    42118       2005.0          -16   \n",
+       "...                                      ...          ...          ...   \n",
+       "SAMEA7313243_45                       Azov38  [1400:1700]  [-621:-321]   \n",
+       "SAMEA7313246_49                      Gdansk8  [1400:1700]  [-621:-321]   \n",
+       "SAMEA6651390                          AGU010  [1435:1477]  [-586:-544]   \n",
+       "SAMEA6637004                          AGU025  [1441:1612]  [-580:-409]   \n",
+       "SAMEA6637002                         AGU007B  [1463:1632]  [-558:-389]   \n",
        "\n",
-       "                                province  country_lat  country_lon  \\\n",
-       "sample                                                               \n",
-       "SAMEA5818830                   Nidwalden    46.798562     8.231974   \n",
-       "SAMEA5818829                   Nidwalden    46.798562     8.231974   \n",
-       "SAMEA5818828                   Nidwalden    46.798562     8.231974   \n",
-       "SAMEA5818826                   Nidwalden    46.798562     8.231974   \n",
-       "SAMEA5818825                   Nidwalden    46.798562     8.231974   \n",
-       "...                                  ...          ...          ...   \n",
-       "D75           Region of Southern Denmark    55.670249    10.333328   \n",
-       "P187              Central Denmark Region    55.670249    10.333328   \n",
-       "P212              Central Denmark Region    55.670249    10.333328   \n",
-       "P387              Central Denmark Region    55.670249    10.333328   \n",
-       "R36           Region of Southern Denmark    55.670249    10.333328   \n",
+       "                                                      country  \\\n",
+       "sample                                                          \n",
+       "Reference                            United States of America   \n",
+       "GCA_009909635.1_ASM990963v1_genomic                    Russia   \n",
+       "GCA_009669545.1_ASM966954v1_genomic                     China   \n",
+       "GCA_009669555.1_ASM966955v1_genomic                     China   \n",
+       "GCA_009669565.1_ASM966956v1_genomic                     China   \n",
+       "...                                                       ...   \n",
+       "SAMEA7313243_45                                        Russia   \n",
+       "SAMEA7313246_49                                        Poland   \n",
+       "SAMEA6651390                                        Lithuania   \n",
+       "SAMEA6637004                                        Lithuania   \n",
+       "SAMEA6637002                                        Lithuania   \n",
        "\n",
-       "              province_lat  province_lon           biovar branch_major  \\\n",
-       "sample                                                                   \n",
-       "SAMEA5818830     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "SAMEA5818829     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "SAMEA5818828     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "SAMEA5818826     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "SAMEA5818825     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "...                    ...           ...              ...          ...   \n",
-       "D75              55.378426      9.131806  Second Pandemic        1.PRE   \n",
-       "P187             56.235648      9.234625  Second Pandemic        1.PRE   \n",
-       "P212             56.235648      9.234625  Second Pandemic        1.PRE   \n",
-       "P387             56.235648      9.234625  Second Pandemic        1.PRE   \n",
-       "R36              55.378426      9.131806  Second Pandemic        1.PRE   \n",
+       "                                                   province  country_lat  \\\n",
+       "sample                                                                     \n",
+       "Reference                                          Colorado    39.783730   \n",
+       "GCA_009909635.1_ASM990963v1_genomic           Rostov Oblast    64.686314   \n",
+       "GCA_009669545.1_ASM966954v1_genomic                Xinjiang    35.000074   \n",
+       "GCA_009669555.1_ASM966955v1_genomic                Xinjiang    35.000074   \n",
+       "GCA_009669565.1_ASM966956v1_genomic                Xinjiang    35.000074   \n",
+       "...                                                     ...          ...   \n",
+       "SAMEA7313243_45                               Rostov Oblast    64.686314   \n",
+       "SAMEA7313246_49                      Pomeranian Voivodeship    52.215933   \n",
+       "SAMEA6651390                                 Vilnius County    55.350000   \n",
+       "SAMEA6637004                                 Vilnius County    55.350000   \n",
+       "SAMEA6637002                                 Vilnius County    55.350000   \n",
        "\n",
-       "             branch_minor biosample_accession            biosample_comment  \\\n",
+       "                                     country_lon province_lat province_lon  \\\n",
        "sample                                                                       \n",
-       "SAMEA5818830       1.PRE1        SAMEA5818830            KEEP: SRA Ancient   \n",
-       "SAMEA5818829       1.PRE1        SAMEA5818829            KEEP: SRA Ancient   \n",
-       "SAMEA5818828       1.PRE1        SAMEA5818828            KEEP: SRA Ancient   \n",
-       "SAMEA5818826       1.PRE1        SAMEA5818826            KEEP: SRA Ancient   \n",
-       "SAMEA5818825       1.PRE1        SAMEA5818825            KEEP: SRA Ancient   \n",
-       "...                   ...                 ...                          ...   \n",
-       "D75                1.PRE1                 D75  KEEP: Local Ancient Denmark   \n",
-       "P187               1.PRE1                P187  KEEP: Local Ancient Denmark   \n",
-       "P212               1.PRE1                P212  KEEP: Local Ancient Denmark   \n",
-       "P387               1.PRE1                P387  KEEP: Local Ancient Denmark   \n",
-       "R36                1.PRE1                 R36  KEEP: Local Ancient Denmark   \n",
+       "Reference                            -100.445882      38.7252     -105.608   \n",
+       "GCA_009909635.1_ASM990963v1_genomic    97.745306      47.6222      40.7958   \n",
+       "GCA_009669545.1_ASM966954v1_genomic   104.999927      42.4805      85.4633   \n",
+       "GCA_009669555.1_ASM966955v1_genomic   104.999927      42.4805      85.4633   \n",
+       "GCA_009669565.1_ASM966956v1_genomic   104.999927      42.4805      85.4633   \n",
+       "...                                          ...          ...          ...   \n",
+       "SAMEA7313243_45                        97.745306      47.6222      40.7958   \n",
+       "SAMEA7313246_49                        19.134422      54.2456      18.1099   \n",
+       "SAMEA6651390                           23.750000      54.8227      25.2495   \n",
+       "SAMEA6637004                           23.750000      54.8227      25.2495   \n",
+       "SAMEA6637002                           23.750000      54.8227      25.2495   \n",
        "\n",
-       "              branch_number continent  date_mean  date_bp_mean  date_err  \\\n",
-       "sample                                                                     \n",
-       "SAMEA5818830              1    Europe     1560.0         461.0      75.0   \n",
-       "SAMEA5818829              1    Europe     1560.0         461.0      75.0   \n",
-       "SAMEA5818828              1    Europe     1560.0         461.0      75.0   \n",
-       "SAMEA5818826              1    Europe     1560.0         461.0      75.0   \n",
-       "SAMEA5818825              1    Europe     1560.0         461.0      75.0   \n",
-       "...                     ...       ...        ...           ...       ...   \n",
-       "D75                       1    Europe     1380.0         641.0     180.0   \n",
-       "P187                      1    Europe     1362.0         659.0     212.0   \n",
-       "P212                      1    Europe     1250.0         771.0     100.0   \n",
-       "P387                      1    Europe     1300.0         721.0     200.0   \n",
-       "R36                       1    Europe     1380.0         641.0     180.0   \n",
+       "                                              biovar branch_major  \\\n",
+       "sample                                                              \n",
+       "Reference                                 Orientalis        1.ORI   \n",
+       "GCA_009909635.1_ASM990963v1_genomic       Medievalis        2.MED   \n",
+       "GCA_009669545.1_ASM966954v1_genomic          Antiqua        0.ANT   \n",
+       "GCA_009669555.1_ASM966955v1_genomic          Antiqua        0.ANT   \n",
+       "GCA_009669565.1_ASM966956v1_genomic          Antiqua        0.ANT   \n",
+       "...                                              ...          ...   \n",
+       "SAMEA7313243_45                      Second Pandemic        1.PRE   \n",
+       "SAMEA7313246_49                      Second Pandemic        1.PRE   \n",
+       "SAMEA6651390                         Second Pandemic        1.PRE   \n",
+       "SAMEA6637004                         Second Pandemic        1.PRE   \n",
+       "SAMEA6637002                         Second Pandemic        1.PRE   \n",
+       "\n",
+       "                                    branch_minor biosample_accession  \\\n",
+       "sample                                                                 \n",
+       "Reference                                 1.ORI1        SAMEA1705942   \n",
+       "GCA_009909635.1_ASM990963v1_genomic       2.MED1        SAMN13632815   \n",
+       "GCA_009669545.1_ASM966954v1_genomic       0.ANT1        SAMN07722925   \n",
+       "GCA_009669555.1_ASM966955v1_genomic       0.ANT1        SAMN07722924   \n",
+       "GCA_009669565.1_ASM966956v1_genomic       0.ANT1        SAMN07722923   \n",
+       "...                                          ...                 ...   \n",
+       "SAMEA7313243_45                           1.PRE1     SAMEA7313243_45   \n",
+       "SAMEA7313246_49                           1.PRE1     SAMEA7313246_49   \n",
+       "SAMEA6651390                              1.PRE1        SAMEA6651390   \n",
+       "SAMEA6637004                              1.PRE1        SAMEA6637004   \n",
+       "SAMEA6637002                              1.PRE1        SAMEA6637002   \n",
+       "\n",
+       "                                                     biosample_comment  \\\n",
+       "sample                                                                   \n",
+       "Reference                              KEEP: Assembly Modern Reference   \n",
+       "GCA_009909635.1_ASM990963v1_genomic              KEEP: Assembly Modern   \n",
+       "GCA_009669545.1_ASM966954v1_genomic              KEEP: Assembly Modern   \n",
+       "GCA_009669555.1_ASM966955v1_genomic              KEEP: Assembly Modern   \n",
+       "GCA_009669565.1_ASM966956v1_genomic              KEEP: Assembly Modern   \n",
+       "...                                                                ...   \n",
+       "SAMEA7313243_45                      KEEP: SRA Ancient Combined Record   \n",
+       "SAMEA7313246_49                      KEEP: SRA Ancient Combined Record   \n",
+       "SAMEA6651390                                         KEEP: SRA Ancient   \n",
+       "SAMEA6637004                                         KEEP: SRA Ancient   \n",
+       "SAMEA6637002                                         KEEP: SRA Ancient   \n",
+       "\n",
+       "                                     branch_number      continent  date_mean  \\\n",
+       "sample                                                                         \n",
+       "Reference                                        1  North America     1992.0   \n",
+       "GCA_009909635.1_ASM990963v1_genomic              2         Europe     1923.0   \n",
+       "GCA_009669545.1_ASM966954v1_genomic              0           Asia     2006.0   \n",
+       "GCA_009669555.1_ASM966955v1_genomic              0           Asia     2005.0   \n",
+       "GCA_009669565.1_ASM966956v1_genomic              0           Asia     2005.0   \n",
+       "...                                            ...            ...        ...   \n",
+       "SAMEA7313243_45                                  1         Europe     1550.0   \n",
+       "SAMEA7313246_49                                  1         Europe     1550.0   \n",
+       "SAMEA6651390                                     1         Europe     1456.0   \n",
+       "SAMEA6637004                                     1         Europe     1526.5   \n",
+       "SAMEA6637002                                     1         Europe     1547.5   \n",
+       "\n",
+       "                                     date_bp_mean  date_err        lat  \\\n",
+       "sample                                                                   \n",
+       "Reference                                    29.0       0.0  38.725178   \n",
+       "GCA_009909635.1_ASM990963v1_genomic          98.0       0.0  47.622245   \n",
+       "GCA_009669545.1_ASM966954v1_genomic          15.0       0.0  42.480495   \n",
+       "GCA_009669555.1_ASM966955v1_genomic          16.0       0.0  42.480495   \n",
+       "GCA_009669565.1_ASM966956v1_genomic          16.0       0.0  42.480495   \n",
+       "...                                           ...       ...        ...   \n",
+       "SAMEA7313243_45                             471.0     150.0  47.622245   \n",
+       "SAMEA7313246_49                             471.0     150.0  54.245560   \n",
+       "SAMEA6651390                                565.0      21.0  54.822692   \n",
+       "SAMEA6637004                                494.5      85.5  54.822692   \n",
+       "SAMEA6637002                                473.5      84.5  54.822692   \n",
+       "\n",
+       "                                            lon host_human  \\\n",
+       "sample                                                       \n",
+       "Reference                           -105.607716      Human   \n",
+       "GCA_009909635.1_ASM990963v1_genomic   40.795794      Human   \n",
+       "GCA_009669545.1_ASM966954v1_genomic   85.463346  Non-Human   \n",
+       "GCA_009669555.1_ASM966955v1_genomic   85.463346  Non-Human   \n",
+       "GCA_009669565.1_ASM966956v1_genomic   85.463346  Non-Human   \n",
+       "...                                         ...        ...   \n",
+       "SAMEA7313243_45                       40.795794      Human   \n",
+       "SAMEA7313246_49                       18.109900      Human   \n",
+       "SAMEA6651390                          25.249534      Human   \n",
+       "SAMEA6637004                          25.249534      Human   \n",
+       "SAMEA6637002                          25.249534      Human   \n",
+       "\n",
+       "                                    sequencing_technology     assembly_method  \\\n",
+       "sample                                                                          \n",
+       "Reference                                              NA                  NA   \n",
+       "GCA_009909635.1_ASM990963v1_genomic            IonTorrent      Newbler v. 2.6   \n",
+       "GCA_009669545.1_ASM966954v1_genomic   Illumina Hiseq 2000  SOAPdenovo v. 2.04   \n",
+       "GCA_009669555.1_ASM966955v1_genomic   Illumina Hiseq 2000  SOAPdenovo v. 2.04   \n",
+       "GCA_009669565.1_ASM966956v1_genomic   Illumina Hiseq 2000  SOAPdenovo v. 2.04   \n",
+       "...                                                   ...                 ...   \n",
+       "SAMEA7313243_45                               NextSeq 500                  NA   \n",
+       "SAMEA7313246_49                               NextSeq 500                  NA   \n",
+       "SAMEA6651390                                  NextSeq 500                  NA   \n",
+       "SAMEA6637004                                  NextSeq 500                  NA   \n",
+       "SAMEA6637002                          Illumina HiSeq 4000                  NA   \n",
+       "\n",
+       "                                                   host_raw    host_order  \\\n",
+       "sample                                                                      \n",
+       "Reference                                             Human         Human   \n",
+       "GCA_009909635.1_ASM990963v1_genomic            Homo sapiens         Human   \n",
+       "GCA_009669545.1_ASM966954v1_genomic      Citellus undulatus      Rodentia   \n",
+       "GCA_009669555.1_ASM966955v1_genomic  Frontopsylla elatoides  Siphonaptera   \n",
+       "GCA_009669565.1_ASM966956v1_genomic      Citellus undulatus      Rodentia   \n",
+       "...                                                     ...           ...   \n",
+       "SAMEA7313243_45                                Homo sapiens         Human   \n",
+       "SAMEA7313246_49                                Homo sapiens         Human   \n",
+       "SAMEA6651390                                   Homo sapiens         Human   \n",
+       "SAMEA6637004                                   Homo sapiens         Human   \n",
+       "SAMEA6637002                                   Homo sapiens         Human   \n",
        "\n",
-       "                    lat       lon host_human branch_major_color  \\\n",
+       "                                    population_color population  \\\n",
        "sample                                                            \n",
-       "SAMEA5818830  46.942756  8.411977      Human            #8000ff   \n",
-       "SAMEA5818829  46.942756  8.411977      Human            #8000ff   \n",
-       "SAMEA5818828  46.942756  8.411977      Human            #8000ff   \n",
-       "SAMEA5818826  46.942756  8.411977      Human            #8000ff   \n",
-       "SAMEA5818825  46.942756  8.411977      Human            #8000ff   \n",
-       "...                 ...       ...        ...                ...   \n",
-       "D75           55.378426  9.131806      Human            #8000ff   \n",
-       "P187          56.235648  9.234625      Human            #8000ff   \n",
-       "P212          56.235648  9.234625      Human            #8000ff   \n",
-       "P387          56.235648  9.234625      Human            #8000ff   \n",
-       "R36           55.378426  9.131806      Human            #8000ff   \n",
+       "Reference                                    #ff0000      1.ORI   \n",
+       "GCA_009909635.1_ASM990963v1_genomic          #c5e88a      2.MED   \n",
+       "GCA_009669545.1_ASM966954v1_genomic          #238af5      0.ANT   \n",
+       "GCA_009669555.1_ASM966955v1_genomic          #238af5      0.ANT   \n",
+       "GCA_009669565.1_ASM966956v1_genomic          #238af5      0.ANT   \n",
+       "...                                              ...        ...   \n",
+       "SAMEA7313243_45                              #f3c16a      1.PRE   \n",
+       "SAMEA7313246_49                              #f3c16a      1.PRE   \n",
+       "SAMEA6651390                                 #f3c16a      1.PRE   \n",
+       "SAMEA6637004                                 #f3c16a      1.PRE   \n",
+       "SAMEA6637002                                 #f3c16a      1.PRE   \n",
        "\n",
-       "              geometry_size                  geometry  root_rtt_dist  \\\n",
-       "sample                                                                 \n",
-       "SAMEA5818830            8.0  POINT (8.41198 46.94276)       0.000012   \n",
-       "SAMEA5818829            8.0  POINT (8.41198 46.94276)       0.000012   \n",
-       "SAMEA5818828            8.0  POINT (8.41198 46.94276)       0.000012   \n",
-       "SAMEA5818826            8.0  POINT (8.41198 46.94276)       0.000012   \n",
-       "SAMEA5818825            8.0  POINT (8.41198 46.94276)       0.000012   \n",
-       "...                     ...                       ...            ...   \n",
-       "D75                     5.0  POINT (9.13181 55.37843)       0.000011   \n",
-       "P187                    4.0  POINT (9.23463 56.23565)       0.000007   \n",
-       "P212                    4.0  POINT (9.23463 56.23565)       0.000009   \n",
-       "P387                    4.0  POINT (9.23463 56.23565)       0.000009   \n",
-       "R36                     5.0  POINT (9.13181 55.37843)       0.000003   \n",
+       "                                                        geometry  \\\n",
+       "sample                                                             \n",
+       "Reference                            POINT (-105.60772 38.72518)   \n",
+       "GCA_009909635.1_ASM990963v1_genomic    POINT (40.79579 47.62225)   \n",
+       "GCA_009669545.1_ASM966954v1_genomic    POINT (85.46335 42.48050)   \n",
+       "GCA_009669555.1_ASM966955v1_genomic    POINT (85.46335 42.48050)   \n",
+       "GCA_009669565.1_ASM966956v1_genomic    POINT (85.46335 42.48050)   \n",
+       "...                                                          ...   \n",
+       "SAMEA7313243_45                        POINT (40.79579 47.62225)   \n",
+       "SAMEA7313246_49                        POINT (18.10990 54.24556)   \n",
+       "SAMEA6651390                           POINT (25.24953 54.82269)   \n",
+       "SAMEA6637004                           POINT (25.24953 54.82269)   \n",
+       "SAMEA6637002                           POINT (25.24953 54.82269)   \n",
+       "\n",
+       "                                     root_rtt_dist clade_rtt_dist  \\\n",
+       "sample                                                              \n",
+       "Reference                                 0.000073             NA   \n",
+       "GCA_009909635.1_ASM990963v1_genomic       0.000073             NA   \n",
+       "GCA_009669545.1_ASM966954v1_genomic       0.000054             NA   \n",
+       "GCA_009669555.1_ASM966955v1_genomic       0.000055             NA   \n",
+       "GCA_009669565.1_ASM966956v1_genomic       0.000055             NA   \n",
+       "...                                            ...            ...   \n",
+       "SAMEA7313243_45                           0.000075             NA   \n",
+       "SAMEA7313246_49                           0.000060             NA   \n",
+       "SAMEA6651390                              0.000060             NA   \n",
+       "SAMEA6637004                              0.000061             NA   \n",
+       "SAMEA6637002                              0.000060             NA   \n",
        "\n",
-       "              clade_rtt_dist  \n",
-       "sample                        \n",
-       "SAMEA5818830        0.000012  \n",
-       "SAMEA5818829        0.000012  \n",
-       "SAMEA5818828        0.000012  \n",
-       "SAMEA5818826        0.000012  \n",
-       "SAMEA5818825        0.000012  \n",
-       "...                      ...  \n",
-       "D75                 0.000011  \n",
-       "P187                0.000007  \n",
-       "P212                0.000009  \n",
-       "P387                0.000009  \n",
-       "R36                 0.000003  \n",
+       "                                     population_rtt_dist  \n",
+       "sample                                                    \n",
+       "Reference                                       0.000006  \n",
+       "GCA_009909635.1_ASM990963v1_genomic             0.000010  \n",
+       "GCA_009669545.1_ASM966954v1_genomic             0.000012  \n",
+       "GCA_009669555.1_ASM966955v1_genomic             0.000012  \n",
+       "GCA_009669565.1_ASM966956v1_genomic             0.000012  \n",
+       "...                                                  ...  \n",
+       "SAMEA7313243_45                                 0.000022  \n",
+       "SAMEA7313246_49                                 0.000007  \n",
+       "SAMEA6651390                                    0.000006  \n",
+       "SAMEA6637004                                    0.000007  \n",
+       "SAMEA6637002                                    0.000006  \n",
        "\n",
-       "[49 rows x 27 columns]"
+       "[601 rows x 32 columns]"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<GeoAxesSubplot:>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
+    "size_by_pop   = {}\n",
+    "size_by_coord  = {}\n",
     "geometry = []\n",
-    "geometry_size_dict = {\n",
-    "    \n",
-    "}\n",
     "\n",
     "# Create geometry size dict\n",
     "for rec in metadata_df.iterrows():\n",
     "    sample = rec[0]\n",
-    "    geo_name = rec[1][\"province\"]\n",
-    "    if geo_name == NO_DATA_CHAR:\n",
-    "        geo_name = rec[1][\"country\"]\n",
-    "    if geo_name not in geometry_size_dict:\n",
-    "        geometry_size_dict[geo_name] = 0\n",
-    "    geometry_size_dict[geo_name] += 1\n",
-    "\n",
-    "# Add geometry size column\n",
-    "for rec in metadata_df.iterrows():   \n",
+    "    population = rec[1][\"population\"]\n",
+    "    \n",
+    "    # Store the province, unless it's missing, then use country\n",
     "    geo_name = rec[1][\"province\"]\n",
     "    lat = rec[1][\"province_lat\"]\n",
-    "    lon = rec[1][\"province_lon\"]    \n",
+    "    lon = rec[1][\"province_lon\"]  \n",
+    "    \n",
     "    if geo_name == NO_DATA_CHAR:\n",
     "        geo_name = rec[1][\"country\"]\n",
-    "        lat = rec[1][\"province_lat\"]\n",
-    "        lon = rec[1][\"province_lon\"]      \n",
+    "        lat = rec[1][\"country_lat\"]\n",
+    "        lon = rec[1][\"country_lon\"]   \n",
     "        \n",
-    "    lat = rec[1][\"lat\"]\n",
-    "    lon = rec[1][\"lon\"]\n",
-    "    point = shapely.geometry.Point(lon,lat)\n",
-    "    size = geometry_size_dict[geo_name]\n",
-    "    metadata_df.at[rec[0],\"geometry_size\"] = size\n",
+    "    metadata_df.at[sample, \"lat\"] = lat\n",
+    "    metadata_df.at[sample, \"lon\"] = lon\n",
+    "    point = shapely.geometry.Point(lon,lat)  \n",
     "    geometry.append(point)\n",
+    "    str_point = str(point.x) + \",\" + str(point.y)\n",
+    "        \n",
+    "    # Add Population to Dict\n",
+    "    if population not in size_by_pop:\n",
+    "        size_by_pop[population] = {}         \n",
+    "        \n",
+    "    # Add counter to the size_by_pop\n",
+    "    if geo_name not in size_by_pop[population]:\n",
+    "        size_by_pop[population][str_point] = 0\n",
+    "    size_by_pop[population][str_point] += 1\n",
     "    \n",
-    "metadata_gdf = geopandas.GeoDataFrame(metadata_df, crs=\"epsg:3857\", geometry=geometry)\n",
+    "    # Add counter to size by coord\n",
+    "    if str_point not in size_by_coord:\n",
+    "        size_by_coord[str_point] = 0\n",
+    "    size_by_coord[str_point] += 1\n",
     "\n",
+    "metadata_gdf = geopandas.GeoDataFrame(metadata_df, crs=\"epsg:3857\", geometry=geometry)\n",
     "display(metadata_gdf)\n",
     "\n",
+    "print(size_by_coord)\n",
     "\n",
     "# Generate a figure with two axes, one for CartoPy, one for GeoPandas\n",
-    "#fig, ax = plt.subplots(1, subplot_kw={'projection': CRS_EPSG},\n",
-    "#                        figsize=(10, 5))\n",
-    "#world_polygons.plot(ax=ax, color=\"grey\", alpha=0.5)\n",
-    "#metadata_gdf.plot(ax=ax, c=\"red\", markersize=\"geometry_size\", ec=\"black\", lw=0.25)"
+    "fig, ax = plt.subplots(1, subplot_kw={'projection': CRS_EPSG},figsize=(10, 5))\n",
+    "world_polygons.plot(ax=ax, color=\"grey\", alpha=0.5)\n",
+    "metadata_gdf.plot(ax=ax, c=\"red\", ec=\"black\", lw=0.25)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "acting-miami",
+   "id": "useful-attachment",
    "metadata": {},
    "source": [
-    "---\n",
-    "\n",
-    "# 1. Mapping"
+    "## Mapping"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "otherwise-constitutional",
+   "id": "stuffed-running",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 1280x1280 with 1 Axes>"
+       "<Figure size 1280x1280 with 120 Axes>"
       ]
      },
      "metadata": {
@@ -1513,40 +1124,64 @@
     "    edgecolor=\"white\", \n",
     "    linewidth=0.1,\n",
     ") \n",
-    "\"\"\n",
-    "reduce_gdf = copy.deepcopy(metadata_gdf)\n",
-    "\n",
-    "plotted_coord = []\n",
     "\n",
-    "for rec in metadata_gdf.iterrows():\n",
-    "    sample=rec[0]\n",
-    "    x,y = rec[1][\"geometry\"].x, rec[1][\"geometry\"].y\n",
-    "    if [x,y] not in plotted_coord:\n",
-    "        plotted_coord.append([x,y])\n",
-    "    else:\n",
-    "        reduce_gdf.drop(sample, inplace=True)\n",
-    "\n",
-    "reduce_gdf.plot(\n",
-    "    ax=ax, \n",
-    "    ec=\"black\", \n",
-    "    color=reduce_gdf[\"branch_major_color\"], \n",
-    "    markersize=reduce_gdf[\"geometry_size\"], \n",
-    "    linewidth=0.25,\n",
-    "    alpha=0.80,\n",
-    ")\n",
+    "# Rescale the sizes for pie chart/inset axes\n",
+    "sizes = list(size_by_coord.values())\n",
+    "# Try to log values\n",
+    "#sizes = [math.log(s) for s in sizes]\n",
+    "# Convert to 2D array\n",
+    "sizes = np.reshape(np.array(sizes), (-1, 1))\n",
+    "rescale_max = 0.15\n",
+    "rescale_min = 0.025\n",
+    "sizes_rescale = sklearn.preprocessing.minmax_scale(sizes, feature_range=(rescale_min,rescale_max))\n",
+    "size_by_coord_rescale = {c:s[0] for c,s in zip(size_by_coord.keys(), sizes_rescale)}\n",
+    "\n",
+    "\n",
+    "for coord in size_by_coord:\n",
+    "    # Get all samples from this coordinate\n",
+    "    coord_list = [float(c) for c in coord.split(\",\")]\n",
+    "    lon,lat = coord_list[0], coord_list[1]\n",
+    "    df = metadata_df[(metadata_df[\"lon\"] == lon) & (metadata_df[\"lat\"] == lat)]\n",
+    "    populations = set(df[\"population\"])\n",
+    "    colors = []\n",
+    "    sizes = []\n",
+    "    for pop in populations:\n",
+    "        num_samples = len(df[df[\"population\"] == pop])\n",
+    "        color = colors_dict[pop]\n",
+    "        sizes.append(num_samples)    \n",
+    "        colors.append(color)\n",
+    "        \n",
+    "    total_sizes = sum(sizes)\n",
+    "    ax_width = size_by_coord_rescale[coord]\n",
+    "   \n",
+    "    # Create an axis inset\n",
+    "    ax_sub=inset_axes(ax, width=ax_width, height=ax_width, loc=10, \n",
+    "                       bbox_to_anchor=(lon, lat),\n",
+    "                       bbox_transform=ax.transData,\n",
+    "                       borderpad=0) \n",
+    "    \n",
+    "    # Create pie chart\n",
+    "    wedges,texts= ax_sub.pie(\n",
+    "        sizes, \n",
+    "        colors=colors, \n",
+    "        normalize=True,\n",
+    "        startangle=90,\n",
+    "        wedgeprops = {'linewidth': 0.25, 'edgecolor' : 'black', \"alpha\" : 0.75},\n",
+    "    )\n",
     "\n",
-    "# Clade legend\n",
-    "clades = list(colors_dict.keys())\n",
-    "clades.reverse()\n",
+    "# Population legend\n",
+    "populations = list(colors_dict.keys())\n",
+    "populations.remove(NO_DATA_CHAR)\n",
+    "populations.reverse()\n",
     "\n",
     "\n",
-    "clade_lines = [lines.Line2D([0], [0], color=colors_dict[clade], lw=0, markersize=2, markeredgecolor=\"black\", markeredgewidth=0.25, marker=\"o\") \n",
-    "                for clade in clades]\n",
-    "clade_labels = [clade for clade in clades]\n",
+    "population_lines = [lines.Line2D([0], [0], color=colors_dict[population], lw=0, markersize=2, markeredgecolor=\"black\", markeredgewidth=0.25, marker=\"o\") \n",
+    "                for population in populations]\n",
+    "population_labels = populations\n",
     "\n",
-    "clade_legend = fig.legend(clade_lines, \n",
-    "           clade_labels,\n",
-    "           #ncol=len(clade_labels),\n",
+    "population_legend = fig.legend(population_lines, \n",
+    "           populations,\n",
+    "           #ncol=len(populations),\n",
     "           ncol=1,\n",
     "           loc=\"center\", \n",
     "           bbox_to_anchor=(0.2, 0.475),\n",
@@ -1555,24 +1190,38 @@
     "            handletextpad=0.25, \n",
     "           labelspacing=0.5,\n",
     "           edgecolor=\"black\",\n",
-    "           title=\"Clade\",\n",
-    "           fontsize=FONTSIZE / 2,\n",
+    "           title=\"Population\",\n",
+    "           fontsize=FONTSIZE / 2.25,\n",
     "           title_fontsize=FONTSIZE / 1.5,\n",
     "          )\n",
-    "clade_legend.get_frame().set_linewidth(0.25)\n",
+    "population_legend.get_frame().set_linewidth(0.25)\n",
+    "\n",
+    "    \n",
     "\n",
     "# Size Legend\n",
     "s = [ax.scatter(0,-9000, s=1, ec=\"black\", c=\"white\", lw=0.25),\n",
-    "     ax.scatter(0,-9000, s=10, ec=\"black\", c=\"white\", lw=0.25),  \n",
+    "     ax.scatter(0,-9000, s=10, ec=\"black\", c=\"white\", lw=0.25), \n",
+    "    ax.scatter(0,-9000, s=100, ec=\"black\", c=\"white\", lw=0.25),     \n",
     "    ]\n",
-    "sl = [\"1\", \"10\"]\n",
-    "leg_size = plt.legend(s, sl, title=\"Genomes\", loc=\"center\",  borderpad=0.5, bbox_to_anchor=[0.2,0.35], edgecolor=\"black\",\n",
+    "sl = [\"1\", \"10\", \"100\"]\n",
+    "leg_size = fig.legend(s, sl, title=\"Genomes\", loc=\"center\",  borderpad=0.5, bbox_to_anchor=[0.3,0.45], edgecolor=\"black\",\n",
     "                    fontsize=FONTSIZE / 2, title_fontsize=FONTSIZE / 1.5)\n",
     "leg_size.get_frame().set_linewidth(0.25)\n",
     "\n",
+    "\n",
     "out_path = os.path.join(out_dir, \"map_all\")\n",
     "plt.savefig(out_path + \".png\", bbox_inches=\"tight\")\n",
-    "plt.savefig(out_path + \".svg\", bbox_inches=\"tight\")"
+    "plt.savefig(out_path + \".svg\", bbox_inches=\"tight\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "acting-miami",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "# 1. Mapping"
    ]
   },
   {
@@ -1589,12 +1238,12 @@
    "id": "deadly-escape",
    "metadata": {},
    "source": [
-    "## Calculate Clade And Root Distances"
+    "## Calculate Population And Root Distances"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "id": "innovative-butter",
    "metadata": {},
    "outputs": [
@@ -1641,11 +1290,16 @@
        "      <th>lat</th>\n",
        "      <th>lon</th>\n",
        "      <th>host_human</th>\n",
-       "      <th>branch_major_color</th>\n",
-       "      <th>geometry_size</th>\n",
+       "      <th>sequencing_technology</th>\n",
+       "      <th>assembly_method</th>\n",
+       "      <th>host_raw</th>\n",
+       "      <th>host_order</th>\n",
+       "      <th>population_color</th>\n",
+       "      <th>population</th>\n",
        "      <th>geometry</th>\n",
        "      <th>root_rtt_dist</th>\n",
        "      <th>clade_rtt_dist</th>\n",
+       "      <th>population_rtt_dist</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sample</th>\n",
@@ -1676,158 +1330,188 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>SAMEA5818830</th>\n",
-       "      <td>STN021</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818830</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
+       "      <th>Reference</th>\n",
+       "      <td>CO92</td>\n",
+       "      <td>1992</td>\n",
+       "      <td>-29</td>\n",
+       "      <td>United States of America</td>\n",
+       "      <td>Colorado</td>\n",
+       "      <td>39.783730</td>\n",
+       "      <td>-100.445882</td>\n",
+       "      <td>38.7252</td>\n",
+       "      <td>-105.608</td>\n",
+       "      <td>Orientalis</td>\n",
+       "      <td>1.ORI</td>\n",
+       "      <td>1.ORI1</td>\n",
+       "      <td>SAMEA1705942</td>\n",
+       "      <td>KEEP: Assembly Modern Reference</td>\n",
        "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
+       "      <td>North America</td>\n",
+       "      <td>1992.0</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>38.725178</td>\n",
+       "      <td>-105.607716</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>NA</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.41198 46.94276)</td>\n",
-       "      <td>1.21946e-05</td>\n",
-       "      <td>1.21946e-05</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>#ff0000</td>\n",
+       "      <td>1.ORI</td>\n",
+       "      <td>POINT (-105.60772 38.72518)</td>\n",
+       "      <td>7.31686e-05</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>6.3815e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SAMEA5818829</th>\n",
-       "      <td>STN020</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818829</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
+       "      <th>GCA_009909635.1_ASM990963v1_genomic</th>\n",
+       "      <td>9_10</td>\n",
+       "      <td>1923.0</td>\n",
+       "      <td>-98</td>\n",
+       "      <td>Russia</td>\n",
+       "      <td>Rostov Oblast</td>\n",
+       "      <td>64.686314</td>\n",
+       "      <td>97.745306</td>\n",
+       "      <td>47.6222</td>\n",
+       "      <td>40.7958</td>\n",
+       "      <td>Medievalis</td>\n",
+       "      <td>2.MED</td>\n",
+       "      <td>2.MED1</td>\n",
+       "      <td>SAMN13632815</td>\n",
+       "      <td>KEEP: Assembly Modern</td>\n",
+       "      <td>2</td>\n",
        "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
+       "      <td>1923.0</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>47.622245</td>\n",
+       "      <td>40.795794</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.41198 46.94276)</td>\n",
-       "      <td>1.19382e-05</td>\n",
-       "      <td>1.19382e-05</td>\n",
+       "      <td>IonTorrent</td>\n",
+       "      <td>Newbler v. 2.6</td>\n",
+       "      <td>Homo sapiens</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>#c5e88a</td>\n",
+       "      <td>2.MED</td>\n",
+       "      <td>POINT (40.79579 47.62225)</td>\n",
+       "      <td>7.30501e-05</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>9.6582e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SAMEA5818828</th>\n",
-       "      <td>STN019</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818828</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.41198 46.94276)</td>\n",
-       "      <td>1.20081e-05</td>\n",
-       "      <td>1.20081e-05</td>\n",
+       "      <th>GCA_009669545.1_ASM966954v1_genomic</th>\n",
+       "      <td>42126</td>\n",
+       "      <td>2006.0</td>\n",
+       "      <td>-15</td>\n",
+       "      <td>China</td>\n",
+       "      <td>Xinjiang</td>\n",
+       "      <td>35.000074</td>\n",
+       "      <td>104.999927</td>\n",
+       "      <td>42.4805</td>\n",
+       "      <td>85.4633</td>\n",
+       "      <td>Antiqua</td>\n",
+       "      <td>0.ANT</td>\n",
+       "      <td>0.ANT1</td>\n",
+       "      <td>SAMN07722925</td>\n",
+       "      <td>KEEP: Assembly Modern</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Asia</td>\n",
+       "      <td>2006.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>42.480495</td>\n",
+       "      <td>85.463346</td>\n",
+       "      <td>Non-Human</td>\n",
+       "      <td>Illumina Hiseq 2000</td>\n",
+       "      <td>SOAPdenovo v. 2.04</td>\n",
+       "      <td>Citellus undulatus</td>\n",
+       "      <td>Rodentia</td>\n",
+       "      <td>#238af5</td>\n",
+       "      <td>0.ANT</td>\n",
+       "      <td>POINT (85.46335 42.48050)</td>\n",
+       "      <td>5.41847e-05</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>1.15566e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SAMEA5818826</th>\n",
-       "      <td>STN014</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818826</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.41198 46.94276)</td>\n",
-       "      <td>1.19003e-05</td>\n",
-       "      <td>1.19003e-05</td>\n",
+       "      <th>GCA_009669555.1_ASM966955v1_genomic</th>\n",
+       "      <td>42123</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>-16</td>\n",
+       "      <td>China</td>\n",
+       "      <td>Xinjiang</td>\n",
+       "      <td>35.000074</td>\n",
+       "      <td>104.999927</td>\n",
+       "      <td>42.4805</td>\n",
+       "      <td>85.4633</td>\n",
+       "      <td>Antiqua</td>\n",
+       "      <td>0.ANT</td>\n",
+       "      <td>0.ANT1</td>\n",
+       "      <td>SAMN07722924</td>\n",
+       "      <td>KEEP: Assembly Modern</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Asia</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>42.480495</td>\n",
+       "      <td>85.463346</td>\n",
+       "      <td>Non-Human</td>\n",
+       "      <td>Illumina Hiseq 2000</td>\n",
+       "      <td>SOAPdenovo v. 2.04</td>\n",
+       "      <td>Frontopsylla elatoides</td>\n",
+       "      <td>Siphonaptera</td>\n",
+       "      <td>#238af5</td>\n",
+       "      <td>0.ANT</td>\n",
+       "      <td>POINT (85.46335 42.48050)</td>\n",
+       "      <td>5.47035e-05</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>1.20754e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>SAMEA5818825</th>\n",
-       "      <td>STN013</td>\n",
-       "      <td>[1485:1635]</td>\n",
-       "      <td>[-536:-386]</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Nidwalden</td>\n",
-       "      <td>46.798562</td>\n",
-       "      <td>8.231974</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Second Pandemic</td>\n",
-       "      <td>1.PRE</td>\n",
-       "      <td>1.PRE1</td>\n",
-       "      <td>SAMEA5818825</td>\n",
-       "      <td>KEEP: SRA Ancient</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Europe</td>\n",
-       "      <td>1560.0</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>46.942756</td>\n",
-       "      <td>8.411977</td>\n",
-       "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>POINT (8.41198 46.94276)</td>\n",
-       "      <td>1.24044e-05</td>\n",
-       "      <td>1.24044e-05</td>\n",
+       "      <th>GCA_009669565.1_ASM966956v1_genomic</th>\n",
+       "      <td>42118</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>-16</td>\n",
+       "      <td>China</td>\n",
+       "      <td>Xinjiang</td>\n",
+       "      <td>35.000074</td>\n",
+       "      <td>104.999927</td>\n",
+       "      <td>42.4805</td>\n",
+       "      <td>85.4633</td>\n",
+       "      <td>Antiqua</td>\n",
+       "      <td>0.ANT</td>\n",
+       "      <td>0.ANT1</td>\n",
+       "      <td>SAMN07722923</td>\n",
+       "      <td>KEEP: Assembly Modern</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Asia</td>\n",
+       "      <td>2005.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>42.480495</td>\n",
+       "      <td>85.463346</td>\n",
+       "      <td>Non-Human</td>\n",
+       "      <td>Illumina Hiseq 2000</td>\n",
+       "      <td>SOAPdenovo v. 2.04</td>\n",
+       "      <td>Citellus undulatus</td>\n",
+       "      <td>Rodentia</td>\n",
+       "      <td>#238af5</td>\n",
+       "      <td>0.ANT</td>\n",
+       "      <td>POINT (85.46335 42.48050)</td>\n",
+       "      <td>5.4939e-05</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>1.23109e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -1858,276 +1542,418 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>D75</th>\n",
-       "      <td>G861x1035</td>\n",
-       "      <td>[1200:1560]</td>\n",
-       "      <td>[-821:-461]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Region of Southern Denmark</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>55.378426</td>\n",
-       "      <td>9.131806</td>\n",
+       "      <th>SAMEA7313243_45</th>\n",
+       "      <td>Azov38</td>\n",
+       "      <td>[1400:1700]</td>\n",
+       "      <td>[-621:-321]</td>\n",
+       "      <td>Russia</td>\n",
+       "      <td>Rostov Oblast</td>\n",
+       "      <td>64.686314</td>\n",
+       "      <td>97.745306</td>\n",
+       "      <td>47.6222</td>\n",
+       "      <td>40.7958</td>\n",
        "      <td>Second Pandemic</td>\n",
        "      <td>1.PRE</td>\n",
        "      <td>1.PRE1</td>\n",
-       "      <td>D75</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
+       "      <td>SAMEA7313243_45</td>\n",
+       "      <td>KEEP: SRA Ancient Combined Record</td>\n",
        "      <td>1</td>\n",
        "      <td>Europe</td>\n",
-       "      <td>1380.0</td>\n",
-       "      <td>641.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>55.378426</td>\n",
-       "      <td>9.131806</td>\n",
+       "      <td>1550.0</td>\n",
+       "      <td>471.0</td>\n",
+       "      <td>150.0</td>\n",
+       "      <td>47.622245</td>\n",
+       "      <td>40.795794</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>NextSeq 500</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>Homo sapiens</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>POINT (9.13181 55.37843)</td>\n",
-       "      <td>1.12633e-05</td>\n",
-       "      <td>1.12633e-05</td>\n",
+       "      <td>#f3c16a</td>\n",
+       "      <td>1.PRE</td>\n",
+       "      <td>POINT (40.79579 47.62225)</td>\n",
+       "      <td>7.54024e-05</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>2.21397e-05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>P187</th>\n",
-       "      <td>A146x3011</td>\n",
-       "      <td>[1150:1574]</td>\n",
-       "      <td>[-871:-447]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Central Denmark Region</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
+       "      <th>SAMEA7313246_49</th>\n",
+       "      <td>Gdansk8</td>\n",
+       "      <td>[1400:1700]</td>\n",
+       "      <td>[-621:-321]</td>\n",
+       "      <td>Poland</td>\n",
+       "      <td>Pomeranian Voivodeship</td>\n",
+       "      <td>52.215933</td>\n",
+       "      <td>19.134422</td>\n",
+       "      <td>54.2456</td>\n",
+       "      <td>18.1099</td>\n",
        "      <td>Second Pandemic</td>\n",
        "      <td>1.PRE</td>\n",
        "      <td>1.PRE1</td>\n",
-       "      <td>P187</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
+       "      <td>SAMEA7313246_49</td>\n",
+       "      <td>KEEP: SRA Ancient Combined Record</td>\n",
        "      <td>1</td>\n",
        "      <td>Europe</td>\n",
-       "      <td>1362.0</td>\n",
-       "      <td>659.0</td>\n",
-       "      <td>212.0</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
+       "      <td>1550.0</td>\n",
+       "      <td>471.0</td>\n",
+       "      <td>150.0</td>\n",
+       "      <td>54.245560</td>\n",
+       "      <td>18.109900</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>NextSeq 500</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>Homo sapiens</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>POINT (9.23463 56.23565)</td>\n",
-       "      <td>6.9663e-06</td>\n",
-       "      <td>6.9663e-06</td>\n",
+       "      <td>#f3c16a</td>\n",
+       "      <td>1.PRE</td>\n",
+       "      <td>POINT (18.10990 54.24556)</td>\n",
+       "      <td>6.01348e-05</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>6.8721e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>P212</th>\n",
-       "      <td>G371</td>\n",
-       "      <td>[1150:1350]</td>\n",
-       "      <td>[-871:-671]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Central Denmark Region</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
+       "      <th>SAMEA6651390</th>\n",
+       "      <td>AGU010</td>\n",
+       "      <td>[1435:1477]</td>\n",
+       "      <td>[-586:-544]</td>\n",
+       "      <td>Lithuania</td>\n",
+       "      <td>Vilnius County</td>\n",
+       "      <td>55.350000</td>\n",
+       "      <td>23.750000</td>\n",
+       "      <td>54.8227</td>\n",
+       "      <td>25.2495</td>\n",
        "      <td>Second Pandemic</td>\n",
        "      <td>1.PRE</td>\n",
        "      <td>1.PRE1</td>\n",
-       "      <td>P212</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
+       "      <td>SAMEA6651390</td>\n",
+       "      <td>KEEP: SRA Ancient</td>\n",
        "      <td>1</td>\n",
        "      <td>Europe</td>\n",
-       "      <td>1250.0</td>\n",
-       "      <td>771.0</td>\n",
-       "      <td>100.0</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
+       "      <td>1456.0</td>\n",
+       "      <td>565.0</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>54.822692</td>\n",
+       "      <td>25.249534</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>POINT (9.23463 56.23565)</td>\n",
-       "      <td>9.2985e-06</td>\n",
-       "      <td>9.2985e-06</td>\n",
+       "      <td>NextSeq 500</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>Homo sapiens</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>#f3c16a</td>\n",
+       "      <td>1.PRE</td>\n",
+       "      <td>POINT (25.24953 54.82269)</td>\n",
+       "      <td>5.95981e-05</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>6.3354e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>P387</th>\n",
-       "      <td>A1480x1480</td>\n",
-       "      <td>[1100:1500]</td>\n",
-       "      <td>[-921:-521]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Central Denmark Region</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
+       "      <th>SAMEA6637004</th>\n",
+       "      <td>AGU025</td>\n",
+       "      <td>[1441:1612]</td>\n",
+       "      <td>[-580:-409]</td>\n",
+       "      <td>Lithuania</td>\n",
+       "      <td>Vilnius County</td>\n",
+       "      <td>55.350000</td>\n",
+       "      <td>23.750000</td>\n",
+       "      <td>54.8227</td>\n",
+       "      <td>25.2495</td>\n",
        "      <td>Second Pandemic</td>\n",
        "      <td>1.PRE</td>\n",
        "      <td>1.PRE1</td>\n",
-       "      <td>P387</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
+       "      <td>SAMEA6637004</td>\n",
+       "      <td>KEEP: SRA Ancient</td>\n",
        "      <td>1</td>\n",
        "      <td>Europe</td>\n",
-       "      <td>1300.0</td>\n",
-       "      <td>721.0</td>\n",
-       "      <td>200.0</td>\n",
-       "      <td>56.235648</td>\n",
-       "      <td>9.234625</td>\n",
+       "      <td>1526.5</td>\n",
+       "      <td>494.5</td>\n",
+       "      <td>85.5</td>\n",
+       "      <td>54.822692</td>\n",
+       "      <td>25.249534</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>NextSeq 500</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>Homo sapiens</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>POINT (9.23463 56.23565)</td>\n",
-       "      <td>8.8612e-06</td>\n",
-       "      <td>8.8612e-06</td>\n",
+       "      <td>#f3c16a</td>\n",
+       "      <td>1.PRE</td>\n",
+       "      <td>POINT (25.24953 54.82269)</td>\n",
+       "      <td>6.0564e-05</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>7.3013e-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>R36</th>\n",
-       "      <td>G25Bx98</td>\n",
-       "      <td>[1200:1560]</td>\n",
-       "      <td>[-821:-461]</td>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Region of Southern Denmark</td>\n",
-       "      <td>55.670249</td>\n",
-       "      <td>10.333328</td>\n",
-       "      <td>55.378426</td>\n",
-       "      <td>9.131806</td>\n",
+       "      <th>SAMEA6637002</th>\n",
+       "      <td>AGU007B</td>\n",
+       "      <td>[1463:1632]</td>\n",
+       "      <td>[-558:-389]</td>\n",
+       "      <td>Lithuania</td>\n",
+       "      <td>Vilnius County</td>\n",
+       "      <td>55.350000</td>\n",
+       "      <td>23.750000</td>\n",
+       "      <td>54.8227</td>\n",
+       "      <td>25.2495</td>\n",
        "      <td>Second Pandemic</td>\n",
        "      <td>1.PRE</td>\n",
        "      <td>1.PRE1</td>\n",
-       "      <td>R36</td>\n",
-       "      <td>KEEP: Local Ancient Denmark</td>\n",
+       "      <td>SAMEA6637002</td>\n",
+       "      <td>KEEP: SRA Ancient</td>\n",
        "      <td>1</td>\n",
        "      <td>Europe</td>\n",
-       "      <td>1380.0</td>\n",
-       "      <td>641.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>55.378426</td>\n",
-       "      <td>9.131806</td>\n",
+       "      <td>1547.5</td>\n",
+       "      <td>473.5</td>\n",
+       "      <td>84.5</td>\n",
+       "      <td>54.822692</td>\n",
+       "      <td>25.249534</td>\n",
        "      <td>Human</td>\n",
-       "      <td>#8000ff</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>POINT (9.13181 55.37843)</td>\n",
-       "      <td>3.1276e-06</td>\n",
-       "      <td>3.1276e-06</td>\n",
+       "      <td>Illumina HiSeq 4000</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>Homo sapiens</td>\n",
+       "      <td>Human</td>\n",
+       "      <td>#f3c16a</td>\n",
+       "      <td>1.PRE</td>\n",
+       "      <td>POINT (25.24953 54.82269)</td>\n",
+       "      <td>5.96217e-05</td>\n",
+       "      <td>NA</td>\n",
+       "      <td>6.359e-06</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>49 rows × 27 columns</p>\n",
+       "<p>601 rows × 32 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                  strain         date      date_bp      country  \\\n",
-       "sample                                                            \n",
-       "SAMEA5818830      STN021  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "SAMEA5818829      STN020  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "SAMEA5818828      STN019  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "SAMEA5818826      STN014  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "SAMEA5818825      STN013  [1485:1635]  [-536:-386]  Switzerland   \n",
-       "...                  ...          ...          ...          ...   \n",
-       "D75            G861x1035  [1200:1560]  [-821:-461]      Denmark   \n",
-       "P187           A146x3011  [1150:1574]  [-871:-447]      Denmark   \n",
-       "P212                G371  [1150:1350]  [-871:-671]      Denmark   \n",
-       "P387          A1480x1480  [1100:1500]  [-921:-521]      Denmark   \n",
-       "R36              G25Bx98  [1200:1560]  [-821:-461]      Denmark   \n",
+       "                                      strain         date      date_bp  \\\n",
+       "sample                                                                   \n",
+       "Reference                               CO92         1992          -29   \n",
+       "GCA_009909635.1_ASM990963v1_genomic     9_10       1923.0          -98   \n",
+       "GCA_009669545.1_ASM966954v1_genomic    42126       2006.0          -15   \n",
+       "GCA_009669555.1_ASM966955v1_genomic    42123       2005.0          -16   \n",
+       "GCA_009669565.1_ASM966956v1_genomic    42118       2005.0          -16   \n",
+       "...                                      ...          ...          ...   \n",
+       "SAMEA7313243_45                       Azov38  [1400:1700]  [-621:-321]   \n",
+       "SAMEA7313246_49                      Gdansk8  [1400:1700]  [-621:-321]   \n",
+       "SAMEA6651390                          AGU010  [1435:1477]  [-586:-544]   \n",
+       "SAMEA6637004                          AGU025  [1441:1612]  [-580:-409]   \n",
+       "SAMEA6637002                         AGU007B  [1463:1632]  [-558:-389]   \n",
        "\n",
-       "                                province  country_lat  country_lon  \\\n",
-       "sample                                                               \n",
-       "SAMEA5818830                   Nidwalden    46.798562     8.231974   \n",
-       "SAMEA5818829                   Nidwalden    46.798562     8.231974   \n",
-       "SAMEA5818828                   Nidwalden    46.798562     8.231974   \n",
-       "SAMEA5818826                   Nidwalden    46.798562     8.231974   \n",
-       "SAMEA5818825                   Nidwalden    46.798562     8.231974   \n",
-       "...                                  ...          ...          ...   \n",
-       "D75           Region of Southern Denmark    55.670249    10.333328   \n",
-       "P187              Central Denmark Region    55.670249    10.333328   \n",
-       "P212              Central Denmark Region    55.670249    10.333328   \n",
-       "P387              Central Denmark Region    55.670249    10.333328   \n",
-       "R36           Region of Southern Denmark    55.670249    10.333328   \n",
+       "                                                      country  \\\n",
+       "sample                                                          \n",
+       "Reference                            United States of America   \n",
+       "GCA_009909635.1_ASM990963v1_genomic                    Russia   \n",
+       "GCA_009669545.1_ASM966954v1_genomic                     China   \n",
+       "GCA_009669555.1_ASM966955v1_genomic                     China   \n",
+       "GCA_009669565.1_ASM966956v1_genomic                     China   \n",
+       "...                                                       ...   \n",
+       "SAMEA7313243_45                                        Russia   \n",
+       "SAMEA7313246_49                                        Poland   \n",
+       "SAMEA6651390                                        Lithuania   \n",
+       "SAMEA6637004                                        Lithuania   \n",
+       "SAMEA6637002                                        Lithuania   \n",
        "\n",
-       "              province_lat  province_lon           biovar branch_major  \\\n",
-       "sample                                                                   \n",
-       "SAMEA5818830     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "SAMEA5818829     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "SAMEA5818828     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "SAMEA5818826     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "SAMEA5818825     46.942756      8.411977  Second Pandemic        1.PRE   \n",
-       "...                    ...           ...              ...          ...   \n",
-       "D75              55.378426      9.131806  Second Pandemic        1.PRE   \n",
-       "P187             56.235648      9.234625  Second Pandemic        1.PRE   \n",
-       "P212             56.235648      9.234625  Second Pandemic        1.PRE   \n",
-       "P387             56.235648      9.234625  Second Pandemic        1.PRE   \n",
-       "R36              55.378426      9.131806  Second Pandemic        1.PRE   \n",
+       "                                                   province  country_lat  \\\n",
+       "sample                                                                     \n",
+       "Reference                                          Colorado    39.783730   \n",
+       "GCA_009909635.1_ASM990963v1_genomic           Rostov Oblast    64.686314   \n",
+       "GCA_009669545.1_ASM966954v1_genomic                Xinjiang    35.000074   \n",
+       "GCA_009669555.1_ASM966955v1_genomic                Xinjiang    35.000074   \n",
+       "GCA_009669565.1_ASM966956v1_genomic                Xinjiang    35.000074   \n",
+       "...                                                     ...          ...   \n",
+       "SAMEA7313243_45                               Rostov Oblast    64.686314   \n",
+       "SAMEA7313246_49                      Pomeranian Voivodeship    52.215933   \n",
+       "SAMEA6651390                                 Vilnius County    55.350000   \n",
+       "SAMEA6637004                                 Vilnius County    55.350000   \n",
+       "SAMEA6637002                                 Vilnius County    55.350000   \n",
        "\n",
-       "             branch_minor biosample_accession            biosample_comment  \\\n",
+       "                                     country_lon province_lat province_lon  \\\n",
        "sample                                                                       \n",
-       "SAMEA5818830       1.PRE1        SAMEA5818830            KEEP: SRA Ancient   \n",
-       "SAMEA5818829       1.PRE1        SAMEA5818829            KEEP: SRA Ancient   \n",
-       "SAMEA5818828       1.PRE1        SAMEA5818828            KEEP: SRA Ancient   \n",
-       "SAMEA5818826       1.PRE1        SAMEA5818826            KEEP: SRA Ancient   \n",
-       "SAMEA5818825       1.PRE1        SAMEA5818825            KEEP: SRA Ancient   \n",
-       "...                   ...                 ...                          ...   \n",
-       "D75                1.PRE1                 D75  KEEP: Local Ancient Denmark   \n",
-       "P187               1.PRE1                P187  KEEP: Local Ancient Denmark   \n",
-       "P212               1.PRE1                P212  KEEP: Local Ancient Denmark   \n",
-       "P387               1.PRE1                P387  KEEP: Local Ancient Denmark   \n",
-       "R36                1.PRE1                 R36  KEEP: Local Ancient Denmark   \n",
+       "Reference                            -100.445882      38.7252     -105.608   \n",
+       "GCA_009909635.1_ASM990963v1_genomic    97.745306      47.6222      40.7958   \n",
+       "GCA_009669545.1_ASM966954v1_genomic   104.999927      42.4805      85.4633   \n",
+       "GCA_009669555.1_ASM966955v1_genomic   104.999927      42.4805      85.4633   \n",
+       "GCA_009669565.1_ASM966956v1_genomic   104.999927      42.4805      85.4633   \n",
+       "...                                          ...          ...          ...   \n",
+       "SAMEA7313243_45                        97.745306      47.6222      40.7958   \n",
+       "SAMEA7313246_49                        19.134422      54.2456      18.1099   \n",
+       "SAMEA6651390                           23.750000      54.8227      25.2495   \n",
+       "SAMEA6637004                           23.750000      54.8227      25.2495   \n",
+       "SAMEA6637002                           23.750000      54.8227      25.2495   \n",
        "\n",
-       "              branch_number continent  date_mean  date_bp_mean  date_err  \\\n",
-       "sample                                                                     \n",
-       "SAMEA5818830              1    Europe     1560.0         461.0      75.0   \n",
-       "SAMEA5818829              1    Europe     1560.0         461.0      75.0   \n",
-       "SAMEA5818828              1    Europe     1560.0         461.0      75.0   \n",
-       "SAMEA5818826              1    Europe     1560.0         461.0      75.0   \n",
-       "SAMEA5818825              1    Europe     1560.0         461.0      75.0   \n",
-       "...                     ...       ...        ...           ...       ...   \n",
-       "D75                       1    Europe     1380.0         641.0     180.0   \n",
-       "P187                      1    Europe     1362.0         659.0     212.0   \n",
-       "P212                      1    Europe     1250.0         771.0     100.0   \n",
-       "P387                      1    Europe     1300.0         721.0     200.0   \n",
-       "R36                       1    Europe     1380.0         641.0     180.0   \n",
+       "                                              biovar branch_major  \\\n",
+       "sample                                                              \n",
+       "Reference                                 Orientalis        1.ORI   \n",
+       "GCA_009909635.1_ASM990963v1_genomic       Medievalis        2.MED   \n",
+       "GCA_009669545.1_ASM966954v1_genomic          Antiqua        0.ANT   \n",
+       "GCA_009669555.1_ASM966955v1_genomic          Antiqua        0.ANT   \n",
+       "GCA_009669565.1_ASM966956v1_genomic          Antiqua        0.ANT   \n",
+       "...                                              ...          ...   \n",
+       "SAMEA7313243_45                      Second Pandemic        1.PRE   \n",
+       "SAMEA7313246_49                      Second Pandemic        1.PRE   \n",
+       "SAMEA6651390                         Second Pandemic        1.PRE   \n",
+       "SAMEA6637004                         Second Pandemic        1.PRE   \n",
+       "SAMEA6637002                         Second Pandemic        1.PRE   \n",
+       "\n",
+       "                                    branch_minor biosample_accession  \\\n",
+       "sample                                                                 \n",
+       "Reference                                 1.ORI1        SAMEA1705942   \n",
+       "GCA_009909635.1_ASM990963v1_genomic       2.MED1        SAMN13632815   \n",
+       "GCA_009669545.1_ASM966954v1_genomic       0.ANT1        SAMN07722925   \n",
+       "GCA_009669555.1_ASM966955v1_genomic       0.ANT1        SAMN07722924   \n",
+       "GCA_009669565.1_ASM966956v1_genomic       0.ANT1        SAMN07722923   \n",
+       "...                                          ...                 ...   \n",
+       "SAMEA7313243_45                           1.PRE1     SAMEA7313243_45   \n",
+       "SAMEA7313246_49                           1.PRE1     SAMEA7313246_49   \n",
+       "SAMEA6651390                              1.PRE1        SAMEA6651390   \n",
+       "SAMEA6637004                              1.PRE1        SAMEA6637004   \n",
+       "SAMEA6637002                              1.PRE1        SAMEA6637002   \n",
+       "\n",
+       "                                                     biosample_comment  \\\n",
+       "sample                                                                   \n",
+       "Reference                              KEEP: Assembly Modern Reference   \n",
+       "GCA_009909635.1_ASM990963v1_genomic              KEEP: Assembly Modern   \n",
+       "GCA_009669545.1_ASM966954v1_genomic              KEEP: Assembly Modern   \n",
+       "GCA_009669555.1_ASM966955v1_genomic              KEEP: Assembly Modern   \n",
+       "GCA_009669565.1_ASM966956v1_genomic              KEEP: Assembly Modern   \n",
+       "...                                                                ...   \n",
+       "SAMEA7313243_45                      KEEP: SRA Ancient Combined Record   \n",
+       "SAMEA7313246_49                      KEEP: SRA Ancient Combined Record   \n",
+       "SAMEA6651390                                         KEEP: SRA Ancient   \n",
+       "SAMEA6637004                                         KEEP: SRA Ancient   \n",
+       "SAMEA6637002                                         KEEP: SRA Ancient   \n",
+       "\n",
+       "                                     branch_number      continent  date_mean  \\\n",
+       "sample                                                                         \n",
+       "Reference                                        1  North America     1992.0   \n",
+       "GCA_009909635.1_ASM990963v1_genomic              2         Europe     1923.0   \n",
+       "GCA_009669545.1_ASM966954v1_genomic              0           Asia     2006.0   \n",
+       "GCA_009669555.1_ASM966955v1_genomic              0           Asia     2005.0   \n",
+       "GCA_009669565.1_ASM966956v1_genomic              0           Asia     2005.0   \n",
+       "...                                            ...            ...        ...   \n",
+       "SAMEA7313243_45                                  1         Europe     1550.0   \n",
+       "SAMEA7313246_49                                  1         Europe     1550.0   \n",
+       "SAMEA6651390                                     1         Europe     1456.0   \n",
+       "SAMEA6637004                                     1         Europe     1526.5   \n",
+       "SAMEA6637002                                     1         Europe     1547.5   \n",
+       "\n",
+       "                                     date_bp_mean  date_err        lat  \\\n",
+       "sample                                                                   \n",
+       "Reference                                    29.0       0.0  38.725178   \n",
+       "GCA_009909635.1_ASM990963v1_genomic          98.0       0.0  47.622245   \n",
+       "GCA_009669545.1_ASM966954v1_genomic          15.0       0.0  42.480495   \n",
+       "GCA_009669555.1_ASM966955v1_genomic          16.0       0.0  42.480495   \n",
+       "GCA_009669565.1_ASM966956v1_genomic          16.0       0.0  42.480495   \n",
+       "...                                           ...       ...        ...   \n",
+       "SAMEA7313243_45                             471.0     150.0  47.622245   \n",
+       "SAMEA7313246_49                             471.0     150.0  54.245560   \n",
+       "SAMEA6651390                                565.0      21.0  54.822692   \n",
+       "SAMEA6637004                                494.5      85.5  54.822692   \n",
+       "SAMEA6637002                                473.5      84.5  54.822692   \n",
        "\n",
-       "                    lat       lon host_human branch_major_color  \\\n",
+       "                                            lon host_human  \\\n",
+       "sample                                                       \n",
+       "Reference                           -105.607716      Human   \n",
+       "GCA_009909635.1_ASM990963v1_genomic   40.795794      Human   \n",
+       "GCA_009669545.1_ASM966954v1_genomic   85.463346  Non-Human   \n",
+       "GCA_009669555.1_ASM966955v1_genomic   85.463346  Non-Human   \n",
+       "GCA_009669565.1_ASM966956v1_genomic   85.463346  Non-Human   \n",
+       "...                                         ...        ...   \n",
+       "SAMEA7313243_45                       40.795794      Human   \n",
+       "SAMEA7313246_49                       18.109900      Human   \n",
+       "SAMEA6651390                          25.249534      Human   \n",
+       "SAMEA6637004                          25.249534      Human   \n",
+       "SAMEA6637002                          25.249534      Human   \n",
+       "\n",
+       "                                    sequencing_technology     assembly_method  \\\n",
+       "sample                                                                          \n",
+       "Reference                                              NA                  NA   \n",
+       "GCA_009909635.1_ASM990963v1_genomic            IonTorrent      Newbler v. 2.6   \n",
+       "GCA_009669545.1_ASM966954v1_genomic   Illumina Hiseq 2000  SOAPdenovo v. 2.04   \n",
+       "GCA_009669555.1_ASM966955v1_genomic   Illumina Hiseq 2000  SOAPdenovo v. 2.04   \n",
+       "GCA_009669565.1_ASM966956v1_genomic   Illumina Hiseq 2000  SOAPdenovo v. 2.04   \n",
+       "...                                                   ...                 ...   \n",
+       "SAMEA7313243_45                               NextSeq 500                  NA   \n",
+       "SAMEA7313246_49                               NextSeq 500                  NA   \n",
+       "SAMEA6651390                                  NextSeq 500                  NA   \n",
+       "SAMEA6637004                                  NextSeq 500                  NA   \n",
+       "SAMEA6637002                          Illumina HiSeq 4000                  NA   \n",
+       "\n",
+       "                                                   host_raw    host_order  \\\n",
+       "sample                                                                      \n",
+       "Reference                                             Human         Human   \n",
+       "GCA_009909635.1_ASM990963v1_genomic            Homo sapiens         Human   \n",
+       "GCA_009669545.1_ASM966954v1_genomic      Citellus undulatus      Rodentia   \n",
+       "GCA_009669555.1_ASM966955v1_genomic  Frontopsylla elatoides  Siphonaptera   \n",
+       "GCA_009669565.1_ASM966956v1_genomic      Citellus undulatus      Rodentia   \n",
+       "...                                                     ...           ...   \n",
+       "SAMEA7313243_45                                Homo sapiens         Human   \n",
+       "SAMEA7313246_49                                Homo sapiens         Human   \n",
+       "SAMEA6651390                                   Homo sapiens         Human   \n",
+       "SAMEA6637004                                   Homo sapiens         Human   \n",
+       "SAMEA6637002                                   Homo sapiens         Human   \n",
+       "\n",
+       "                                    population_color population  \\\n",
        "sample                                                            \n",
-       "SAMEA5818830  46.942756  8.411977      Human            #8000ff   \n",
-       "SAMEA5818829  46.942756  8.411977      Human            #8000ff   \n",
-       "SAMEA5818828  46.942756  8.411977      Human            #8000ff   \n",
-       "SAMEA5818826  46.942756  8.411977      Human            #8000ff   \n",
-       "SAMEA5818825  46.942756  8.411977      Human            #8000ff   \n",
-       "...                 ...       ...        ...                ...   \n",
-       "D75           55.378426  9.131806      Human            #8000ff   \n",
-       "P187          56.235648  9.234625      Human            #8000ff   \n",
-       "P212          56.235648  9.234625      Human            #8000ff   \n",
-       "P387          56.235648  9.234625      Human            #8000ff   \n",
-       "R36           55.378426  9.131806      Human            #8000ff   \n",
+       "Reference                                    #ff0000      1.ORI   \n",
+       "GCA_009909635.1_ASM990963v1_genomic          #c5e88a      2.MED   \n",
+       "GCA_009669545.1_ASM966954v1_genomic          #238af5      0.ANT   \n",
+       "GCA_009669555.1_ASM966955v1_genomic          #238af5      0.ANT   \n",
+       "GCA_009669565.1_ASM966956v1_genomic          #238af5      0.ANT   \n",
+       "...                                              ...        ...   \n",
+       "SAMEA7313243_45                              #f3c16a      1.PRE   \n",
+       "SAMEA7313246_49                              #f3c16a      1.PRE   \n",
+       "SAMEA6651390                                 #f3c16a      1.PRE   \n",
+       "SAMEA6637004                                 #f3c16a      1.PRE   \n",
+       "SAMEA6637002                                 #f3c16a      1.PRE   \n",
+       "\n",
+       "                                                        geometry  \\\n",
+       "sample                                                             \n",
+       "Reference                            POINT (-105.60772 38.72518)   \n",
+       "GCA_009909635.1_ASM990963v1_genomic    POINT (40.79579 47.62225)   \n",
+       "GCA_009669545.1_ASM966954v1_genomic    POINT (85.46335 42.48050)   \n",
+       "GCA_009669555.1_ASM966955v1_genomic    POINT (85.46335 42.48050)   \n",
+       "GCA_009669565.1_ASM966956v1_genomic    POINT (85.46335 42.48050)   \n",
+       "...                                                          ...   \n",
+       "SAMEA7313243_45                        POINT (40.79579 47.62225)   \n",
+       "SAMEA7313246_49                        POINT (18.10990 54.24556)   \n",
+       "SAMEA6651390                           POINT (25.24953 54.82269)   \n",
+       "SAMEA6637004                           POINT (25.24953 54.82269)   \n",
+       "SAMEA6637002                           POINT (25.24953 54.82269)   \n",
        "\n",
-       "              geometry_size                  geometry root_rtt_dist  \\\n",
-       "sample                                                                \n",
-       "SAMEA5818830            8.0  POINT (8.41198 46.94276)   1.21946e-05   \n",
-       "SAMEA5818829            8.0  POINT (8.41198 46.94276)   1.19382e-05   \n",
-       "SAMEA5818828            8.0  POINT (8.41198 46.94276)   1.20081e-05   \n",
-       "SAMEA5818826            8.0  POINT (8.41198 46.94276)   1.19003e-05   \n",
-       "SAMEA5818825            8.0  POINT (8.41198 46.94276)   1.24044e-05   \n",
-       "...                     ...                       ...           ...   \n",
-       "D75                     5.0  POINT (9.13181 55.37843)   1.12633e-05   \n",
-       "P187                    4.0  POINT (9.23463 56.23565)    6.9663e-06   \n",
-       "P212                    4.0  POINT (9.23463 56.23565)    9.2985e-06   \n",
-       "P387                    4.0  POINT (9.23463 56.23565)    8.8612e-06   \n",
-       "R36                     5.0  POINT (9.13181 55.37843)    3.1276e-06   \n",
+       "                                    root_rtt_dist clade_rtt_dist  \\\n",
+       "sample                                                             \n",
+       "Reference                             7.31686e-05             NA   \n",
+       "GCA_009909635.1_ASM990963v1_genomic   7.30501e-05             NA   \n",
+       "GCA_009669545.1_ASM966954v1_genomic   5.41847e-05             NA   \n",
+       "GCA_009669555.1_ASM966955v1_genomic   5.47035e-05             NA   \n",
+       "GCA_009669565.1_ASM966956v1_genomic    5.4939e-05             NA   \n",
+       "...                                           ...            ...   \n",
+       "SAMEA7313243_45                       7.54024e-05             NA   \n",
+       "SAMEA7313246_49                       6.01348e-05             NA   \n",
+       "SAMEA6651390                          5.95981e-05             NA   \n",
+       "SAMEA6637004                           6.0564e-05             NA   \n",
+       "SAMEA6637002                          5.96217e-05             NA   \n",
        "\n",
-       "             clade_rtt_dist  \n",
-       "sample                       \n",
-       "SAMEA5818830    1.21946e-05  \n",
-       "SAMEA5818829    1.19382e-05  \n",
-       "SAMEA5818828    1.20081e-05  \n",
-       "SAMEA5818826    1.19003e-05  \n",
-       "SAMEA5818825    1.24044e-05  \n",
-       "...                     ...  \n",
-       "D75             1.12633e-05  \n",
-       "P187             6.9663e-06  \n",
-       "P212             9.2985e-06  \n",
-       "P387             8.8612e-06  \n",
-       "R36              3.1276e-06  \n",
+       "                                    population_rtt_dist  \n",
+       "sample                                                   \n",
+       "Reference                                    6.3815e-06  \n",
+       "GCA_009909635.1_ASM990963v1_genomic          9.6582e-06  \n",
+       "GCA_009669545.1_ASM966954v1_genomic         1.15566e-05  \n",
+       "GCA_009669555.1_ASM966955v1_genomic         1.20754e-05  \n",
+       "GCA_009669565.1_ASM966956v1_genomic         1.23109e-05  \n",
+       "...                                                 ...  \n",
+       "SAMEA7313243_45                             2.21397e-05  \n",
+       "SAMEA7313246_49                              6.8721e-06  \n",
+       "SAMEA6651390                                 6.3354e-06  \n",
+       "SAMEA6637004                                 7.3013e-06  \n",
+       "SAMEA6637002                                  6.359e-06  \n",
        "\n",
-       "[49 rows x 27 columns]"
+       "[601 rows x 32 columns]"
       ]
      },
      "metadata": {},
@@ -2136,34 +1962,29 @@
    ],
    "source": [
     "metadata_df[\"root_rtt_dist\"] = [NO_DATA_CHAR] * len(metadata_df)\n",
-    "metadata_df[\"clade_rtt_dist\"] = [NO_DATA_CHAR] * len(metadata_df)\n",
+    "metadata_df[\"population_rtt_dist\"] = [NO_DATA_CHAR] * len(metadata_df)\n",
     "\n",
-    "branch_mrca_dict = {}\n",
+    "population_mrca_dict = {}\n",
     "\n",
-    "for c in divtree.get_terminals():\n",
-    "    sample = c.name    \n",
-    "    # Clade MRCA Dist    \n",
-    "    branch_major = metadata_df[\"branch_major\"][sample]\n",
-    "    if branch_major in branch_mrca_dict: continue\n",
-    "\n",
-    "    branch_df = metadata_df[metadata_df[\"branch_major\"] == branch_major]\n",
-    "    branch_tips = list(branch_df.index)\n",
-    "    branch_mrca = divtree.common_ancestor(branch_tips)\n",
-    "    branch_mrca_dict[branch_major] = branch_mrca\n",
+    "# Get the MRCA for Each Population\n",
+    "for population in colors_dict:\n",
+    "    if population == NO_DATA_CHAR: continue\n",
+    "    df = metadata_df[metadata_df[\"population\"] == population]\n",
+    "    tips = list(df.index)\n",
+    "    mrca = divtree.common_ancestor(tips)\n",
+    "    population_mrca_dict[population] = mrca\n",
     "\n",
     "for c in divtree.get_terminals():\n",
     "    sample = c.name\n",
-    "    # Root Dist\n",
+    "    population = metadata_df[\"population\"][sample]    \n",
+    "    # Genetic Distance to Root\n",
     "    root_dist = divtree.distance(divtree.root, c)\n",
-    "\n",
-    "    # Clade MRCA Dist    \n",
-    "    branch_major = metadata_df[\"branch_major\"][sample]\n",
-    "\n",
-    "    branch_mrca = branch_mrca_dict[branch_major]\n",
-    "    branch_mrca_dist = divtree.distance(branch_mrca, c)\n",
+    "    # Genetic Distance to Population MRCA \n",
+    "    mrca = population_mrca_dict[population]\n",
+    "    mrca_dist = divtree.distance(mrca, c)\n",
     "\n",
     "    metadata_df.at[sample, \"root_rtt_dist\"] = float(root_dist)\n",
-    "    metadata_df.at[sample, \"clade_rtt_dist\"] = float(branch_mrca_dist)\n",
+    "    metadata_df.at[sample, \"population_rtt_dist\"] = float(mrca_dist)\n",
     "\n",
     "display(metadata_df)"
    ]
@@ -2173,12 +1994,12 @@
    "id": "nuclear-backing",
    "metadata": {},
    "source": [
-    "## Report Average RTT by Clade"
+    "## Report Average RTT by Population"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "id": "underlying-field",
    "metadata": {},
    "outputs": [
@@ -2186,7 +2007,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'All': 1.2317797959183675e-05, '1.PRE': 1.2317797959183675e-05}\n"
+      "{'All': 6.913333028286183e-05, '0.PRE': 3.848804999999999e-05, '0.PE': 7.678205697674419e-05, '0.ANT': 1.3128180582524258e-05, '0.ANT4': 1.3461716666666665e-05, '3.ANT': 6.2694e-06, '4.ANT': 5.72540909090909e-06, '2.ANT': 6.774798148148145e-06, '2.MED': 1.4159980172413794e-05, '1.PRE': 1.1384555000000001e-05, '1.ANT': 1.35333e-05, '1.IN': 4.453964102564105e-06, '1.ORI': 5.959430769230769e-06}\n"
      ]
     }
    ],
@@ -2195,13 +2016,13 @@
     "rtt_all_mean = sum(rtt_all_list) / len(rtt_all_list)\n",
     "rtt_dist_dict = {\"All\": rtt_all_mean}\n",
     "\n",
-    "for clade in BRANCH_LIST:\n",
-    "    df = copy.copy(metadata_df[metadata_df[\"branch_minor\"].isin(BRANCH_LIST[clade])])\n",
-    "    if len(df) == 0: continue\n",
-    "    rtt_clade_list = list(df[\"clade_rtt_dist\"])\n",
-    "    rtt_clade_mean = sum(rtt_clade_list) / len(rtt_clade_list)\n",
+    "for population in colors_dict:\n",
+    "    if population == NO_DATA_CHAR: continue\n",
+    "    df = metadata_df[metadata_df[\"population\"] == population]\n",
+    "    rtt_list = list(df[\"population_rtt_dist\"])\n",
+    "    rtt_mean = sum(rtt_list) / len(rtt_list)\n",
     "    \n",
-    "    rtt_dist_dict[clade] = rtt_clade_mean\n",
+    "    rtt_dist_dict[population] = rtt_mean\n",
     "    \n",
     "print(rtt_dist_dict)"
    ]
@@ -2216,7 +2037,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "id": "floral-lawrence",
    "metadata": {},
    "outputs": [
@@ -2224,12 +2045,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Branch: 1.PRE\n"
+      "Population: 0.PRE\n",
+      "Population: 0.PE\n",
+      "Population: 0.ANT\n",
+      "Population: 0.ANT4\n",
+      "Population: 3.ANT\n",
+      "Population: 4.ANT\n",
+      "Population: 2.ANT\n",
+      "Population: 2.MED\n",
+      "Population: 1.PRE\n",
+      "Population: 1.ANT\n",
+      "Population: 1.IN\n",
+      "Population: 1.ORI\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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UTJGS4A63/WP2+vGvgYaJ2evHXAAt4Ur3O1bCk78s7vhEpPytexb27A62Z8+BSZOM+WFLv74+ePLx5MYmUgke33F0MkWVKSIiY/PjHZ3s6g3i6knNNRzTWAOAmfHKKfVMCJvn39TWw337exIbZzVTMkVKwvO3BkkSgNbZMHPQyj2pGjj2Vdnr93wuSMCIiORq+f3ZoJFJosyak71/9aMKKiLjsfnA0cmUoW4TEZGRuTvf2n74yPWXTawfcH9Dyjh/Ut2R6/+2saNoY5MsJVOkJEQbyy48b+gVe6YcCxMXBNu7nwqmBYmI5GrFw0GyxAzmzg9umzkrG28eX61kish47DgYfIYmNkBmtfGtB/S5EhGJ6+GDvaw9HEyTXNCQYmb90aftp7bUMrU2CLb3Hujlkfbeoo5RlEyRErB/QzYx0jgZpp809H5mMP+c7PWHv17okYlIpdjX5mzaEGxPmQqNjcHBR329MWlycPuWTdDVpRM/kbHo6HEOdgfbExqMCWE/oq0HXCv6iIjE9Ovd3Ue2M/1RBkuZ8dKJ2eqUa7ceHnI/KRwlUyRxq74PhMdZs88AG+G3cvqJ2V4qz94IB7cVenQiUgkeW5U9mZs1e+B9U6cF/6bTsP65Ig5KpIJsb89+xlobYGKYsDzUC/uHWEFLRESGlnbnN7uDwFkDnNA8dDIF4JSWWprCc6fr93Sxs0dNv4tJyRRJlDs8/tPs9dmnj7y/pWDWC8PHpmH1jwo2NBGpIE+szm4PTqZMmZbdfu5ZfYMuMhbbD2Y/OxPqOVKZArBFfVNERHK2qqOPHT1B3FzcWENjaoj+B6FaM17YGlSn9Dr8ZKey18WkZIokasdKaHs22J68aOAKPsOJJlye+FkhRiUileapJ4MTvVQKpk4feN/Uqdntdc8WcVAiFSSaTGltMCY2ZA/+1TdFRCR3N+3NTvE5vqlm1P1Pb81WrvxoR6emVhaRkimSqKd+ld2ecUpuj2maChPmBds7V8PuNfkfl4hUjn1tzvatwfbUaVBbO/AbnomTsk1oN2/UAYjIWOw4mK0+aa2HlsjCE7sP6XMlIpKrW/dlkynH5ZBMmVKb4piG4LT+uc5+/qRGtEWjZIokau3vstvDNZ4dysxI4mXNb/I3HhGpPGuezG5Pn3H0/TU1RuuEYHvrFujv14mfSFy7I6tyttYbTdmeiOw9rM+UiEguDvSlefRgHwDT64yJtbmdrr8g0qT2F7s01adYlEyRxLQ9FyxxDMGSx/WtuT92+tLs9trr8zosEakwa9dkT+SGSqZAUJ0C0NMDu3YWYVAiFWZfZ/Zz1lQHzXXZCrC9WmBCRCQn9x/oJVPnt6hh9KqUjBOaa8kU3v56dxe9aSWxi0HJFEnMs8uy29NOiPfYxsnQGjaR3PYItG/J27BEpMI8/VT2gGLaKMkUgM2bCjwgkQrUFkmmNNZCc6QyZY+m+YiI5OSe/T1Hto9pzD2Z0pAyloRTgtr6nDsjzyOFo2SKJGbdTdntqUviP37aidntaGJGRCSjp8dZvy7YnjARGhqG7og/KZJM2bJJJ34icWWSKXUpqK0ZOM1nj6b5iIjk5MED2STIghjJFICTI0so/0pTfYpCyRRJRF8XrL8z2K5vhZaZ8Z8jWs3y7B/zMy4RqSzrnoW+YOox06YPv1+mZwrA9m2FHZNIJcpM82kMkyg1KaMhPK5XzxQRkdEd6ndWd2T7pTSNsCTyUI5tqiHzndGNe7vp1lSfglMyRRKxZTn0dQbbU47LrqQRR+scqGsJtp+/DfpVzSYig0T7pQw3xQcGJlN2bNPBh0gcaXf2h3/Tm7JfjB6pTtmraT4iIqN69GAv/eH2/Pp4VSkAtWZHllI+0O/cuU8nR4WmZIokYv0d2e0px47tOcxg6nHBdu8h2Pzg+MclIpVlQPPZESpT6uuNhoZgW5UpMlZmdr6Z3WBm28zMzewNo+x/Ybjf4EuM9e2S194FmS9AGyONZzN9Uw71QmevEioiIiOJLmk8r2Fsp+lLI1N9rt+jqT6FpmSKJCKaTJm8eOzPE03EPH/r2J9HRCqPu7N2TbBdVzewyexQMtUpbXuhu0snfjImLcBq4MMxH3ciMCdyeTbP4yqotkEr+WREV/RRE1oRkZGtOBhNpsSvTAFY3FRDfWSqT58r9haSkilSdL2HYeufgu2madAwYeT9RzI5kkxZd8v4xiUilWXnDti/L9ieOh1slPmEA6b6bC/gwKRiufsyd/+Uu/8m5kN3ufuOyKV/9Idkmdn80S7AGLqT5WZfpCfKUNN8APYrQSkiMqJHw2RKg8HU2jH0QCCY6nNcONVnX59z//7eUR4h46FkihTdluWQDhtCTj5mfM/VMAGawz4I21dA14HxPZ+IVI7oksjTR+iXkqFkiiRopZltN7PbzeyiMTx+cw6Xgq17N2BZ5Eg1SmMksbKvs1CvLiJS/rZ397OtJw3A7PrUqF8AjeTESFb7hr2a6lNISqZI0W28J7s9aZzJFIAp4TQhT8Ome8f/fCJSGZ5+KrudSzKlpSW7vWunvkWXotgOvB+4FHgTsBa43czOT3RUMUUTJdEESmPkm9UDqkwRERnWox3ZCpI5Y2g+G3VsUw2ZZ/jDnm5cU30KRskUKbp8J1MmL8puR3uxiIyVmX3SzB42s4NmtsvMrjezE3N43AVmtsLMuszseTP7QDHGK0PLVKaYwdRpo+/f0prd3rWzQIMSiXD3te7+LXd/1N0fdPcPAX8EPh7zqRbkcHlt/kY+UHskURJNpjQMqEzRwbyIyHAeC5dEhqAyZTwaUsaixiCdsrUnzcrIc0t+KZkiRZXuy/ZLaZgIjaM0hMzFpEXZ7WiiRmQcLgC+AbwUuBioBW4xs5bhHmBmi4EbgXuBM4B/A75qZpcWfrgyWPsBZ9OGYHvyFKirG71cNlqZsnuXTvwkMcuBJXEe4O5bRrsAuwozXGjvzn5eGgZUpmS392uaj4jIsFZHEh6zxplMAVjSnK1u+ePe7nE/nwytdvRdRPJn52NBA1qAiQvy85x1TdAyCw7thB0rg74p+UjSSPVy99dEr5vZewhORM4ChkvZfQDY5O5XhtfXmNnZBN8w/zqX1w2bRI6mYE0kK8lTT2S3Z8zK7TGNTUEVi7sqUyRRZxBM/ykb7ZHj9IaabOKyqU7TfEREcvFYOM2n3mDKGJvPRi1pquGmcPuPe7v59KLWEfeXsVEyRYpq0/3Z7XwlUwAmLQySKZ6GzQ/AkoIVM0uVyqTn2kbY5xxg8JpSNwNXmFmdu+fSTn3zWAYnR3vy8eyJ28wc00+plNHc4hzqUDJFxsbMWoHjIzctNrPTgTZ332RmVwHz3P1d4f5XAhuAJ4F64DKC/illVdEWnebToGk+IiKxtPWm2dwdNJ+dOc7msxmtNSnm1qfY1pPmyUN9bOjsZ1HT+HqxyNE0zUeKasuD2e1JeUymRFcF0lQfyScL/qJdA9zn7k+MsOtsYPAp+E6CpPX0Ag1PhvHYqmy/lOkxankyU30OH4KOgzr5k9jOBlaGFwhix0rgc+H1OcDCyP71wNXAYwRTBF8OvG4MSysnKpdpPqpMEREZ2pOHslN8Ztbl7/T8hEjy5MY2TfUpBCVTpKgy/VJStcHUnHyZGDk03Xz/8PuJjMHXgdOAt+ew7+CzBRvm9uEk2kSyUuzd42zeGGxPnQb19bl/w9Mc6ZuyZ0+eByYVz93vcncb4nJ5eP/l7n5hZP8vuvvx7t7k7lPd/Tx3vzGp8Y9Ve2TlzegiFNHEyn6tzikyLDP7kJmtDxvYrzCz80bZ/51mttrMDofLqn/PzHJotS6laEAyJQ/9UjKWNGeD8B/3KAgXgpIpUjSHdsO+54Pt1jmQymOlWcMEaJwSbG99CPqUfJU8MLOvAX8JXBQ2cBzJDoLqlKiZQB+wN5fXS7qJZKVY9Wg2dzVrTrzHDkim6H9aJCeZypS6FNSkssnLlNmRhMp+TfMRGZKZvRX4CvB5gp5J9wLLzGzhMPu/HPgh8B3gFOCvgBcB3y7GeCX/nihQZcq0WmNy2H/l/gO97OtN5+25JaBkihTNtoez2xPm5f/5J4V/cvq7Yfuj+X9+qR4W+DrwJuAV7r4+h4c9SLDyT9SrgEdy7JciefLw8uxJ2+y4yZTm7Pae3Tr5E8nFwfALjPohOvFlpvrs1zQfkeF8FPiOu3/b3deEjew3Ax8cZv+XAhvc/avuvt7d7wO+STDNMGdmNn+0C2p6XxTRypTpeUymmBlLwqk+/cBt+/Rtc74pmSJFs/Wh7PbEAiRTog1tNz+Q/+eXqvINgkaQ7wAOmtns8NKU2cHMrjKzH0Yecx1wjJldY2ZLzey9wBUE/RCkSLq7nFVhMrWxEabF7FYzoDJld/7GJVLJMv1QGoaoOM0kU9q7IO1KqIhEmVk9wUqBgxvY3wKcO8zDHgDmm9kl4Zc/s4A3A3+M+fKbc7gsi/mcElPanTVhMmVyjdGQGn/z2aglTdks941aIjnvlEyRoil4ZUokmbJFyRQZnw8SrOBzF8ESpZnLWyP7DGgkGVavXAJcCKwCPg18xN1zWhZZ8mPFw9ATHivMnU/sjvgDK1PyODCRCtXd53SFX6o2DFGZ0hCWmDvQoeN4kcGmAzUM3cB+8NRhANz9AeCdwM+BHoJpxvuB/1WwUUrBbO5OcygdJJqn57FfSsb8hhSN4aHQrW099KaV1M4nLY0sReEOW8NkSm0TNE7O/2s0z4CahmCaz+YHgtfMw8piUoXcfdTfnExDyUG33Q2cWYgxSW7uuDU7H3jBkLPNRzawMkUHHCKjiSZIMomTqGi1yoEuZ2Kj/jCLDGGoBvZD/hEys5OBrxKsEnYzwZc7XyKokL0ixmvmsq7mqag6paDWRKb4zMjjFJ+MGjOObarhqcP9HOh3HjjQywVT6vP+OtVKyRQpigOb4HD4Le+EuYVJcpjBxPmwbx107ID9G2DK4vy/joiUpj27nVUrgu3mZpg55Hd6I6utNerrnZ4eVaaI5GK4ZZGHuq1dlSkig+0haGcxVAP7wdUqGZ8E7nf3L4XXHzOzQ8C9ZvYpd9+eywvn0FgfM1PPlAJbc7gw/VKiljTV8tThfgD+uLdLyZQ80jQfKYrtK7LbE+YW7nUmzs9uZ5ZhFpHqcMNvnXRYmLLouPhTfDIy1SlteyGtcliREQ1IpgzRM2VAMkVNaEUGcPceYAVHN7C/mKA3ylCagcHLsvSH/6r0q8ysGdB8tjBv37FNNUdO+pe19eDqX5U3SqZIUWyLJlNirq4RRzSZsmV54V5HRErL7l3OzTcGBwc1NXD8CWN/rqawzXBfH7QfyMPgRCrYwUi1yVCr+USn/hxQMkVkKNcA7zOz94YN7L9M0JPtOhiy4f0NwJvM7INmdqyZvYxg2s9D7r6t6KOXcVkbqUyZVluYU/PGlLGwIXjuDV39PH24f5RHSK40zUeKYkdkqeLWAlamRBvbbnmwcK8jIqXD3fnvb6SPNJ49bgk0jqMvQ1OkCe3ePTB5yjgHKFLBOiKVKfU1Q/RM0TQfkRG5+8/NbBrwGYL+J08Al7j7xnCXwQ3vv29mE4APA/9B0Hz2DuATxRy3jJ+780xnkNiYXGvU5Xkln6jjm2vZ0N0DwB/2drO0RWmAfFBlihSce7YypbYJGiYW7rXqmqBpWrC9YxX06cBNpOL94qfOinDp9YZGOPkF43u+AcmUveN7LpFK19GT3R5ymk/kNk3zERmau1/r7ovcvcHdz3L3eyL3Xe7uFw7a/2vufoq7N7v7XHe/zN23Fn3gMi5bu9N09AdxsVBVKRlLmrLBeJmWSM4bJVOk4A5ujTSfnVP4FXYmhtUp/T2wc3VhX0tEknX9r9L8/MfZE7QXvxTq68cXZAZWpujkT2QkHT3RypSj7x9YmaLPk4hIxtoiNJ/NmFybYkbYk+WRg73s6tFUn3xQMkUKbvvK7HZrAfulZAyY6qMmtCIV6/e/SfPD72RPzk47A+bMG3+2tnnQNB8RGV60Z0rdkMmUaM+UIgxIRKRMZKb4AEwrUPPZqCVNQXbbgZvaekbeWXKiZIoU3I5oMmUMS5XGpRV9RCrfQw863/9WNpFy6gvhpJPzcyAyuGeKiAxvQM+U2qM/g42RypSDqkwRETliQPPZAlemABwfmepzo6b65IWSKVJwO4pcmdIyCyyMFdseLvzriUhx7d/vfP2a7KqQJ78ATj41f9/oZFbzAU3zERlNdJrPUD1TolN/tJqPiEjWs5FkytQC90wBmFufoiVscnvHvm46+xWTx0vJFCm4zDSfmnpomlr410vVZJM2e5+Bzn2Ff00RKZ6ffN/p6Ai25y+AU8bZcHawujqoDb9N36cGtCIjijagHa1niqb5iIhkPRtO82lKQfMQq6Hlm5kdqU7pTMNd+zXVZ7yUTJGC6twHB8KF3VpmFb75bMbEyPLL2x4pzmuKSOHt2uncdVvwTUpdHZz54uDgIJ/M7Eh1ilbzERnZwKWRj74/ZXakl8rBHn0LKiICcLAvzfaeoMq2GFN8MpZoqk9eKZkiBbXzsex266zivW60Ce3Wh4r3uiJSWDf+3ukP+7UtOQkaGwuToW0M+6Z0dcLhQzoBFBnOaA1oITv956AqU0REAHgu0ny2GFN8MhY11pBpb7WsrZu06xhnPJRMkYLasSq7XYzmsxkTopUp6psiUhH6+5177gz+6KdSsOSEwr1WtG9KW1vhXkek3GV6ptSmoCY1dHIzM9VHSyOLiASe7Yw2ny1S6T5QlzIWNQYZ7p09aVZ29I3yCBmJkilSUDtXZbdbiphMaZoGNQ3BtpIpIpVh9UrYH/ZAmjMPGgpUlQIDV/Rp04o+IsPK9EwZaopPRua+rj7oUcNDERGeO5xMZQpoqk8+KZkiBbVjdbhh0DKzeK9rlq1OObgN2rcW77VFpDAefjB7EnbMosK+1sDKFJ38iQwn0zNlpGRKQ2TJ5IM6bhcRGTjNp4g9U2DgEsnLlEwZFyVTpGDSfbD7yWC7aSrU1BX39TXVR6RyuDsrHslO8ZlV4GXWB1SmqAmtyJDcPafKlOiKPgc11UdEhOfCaT4GTK4t3jQfgNaaFHPqgzTA44f62NTVP8ojZDhKpkjB7FkL/eFBVjH7pWREkylblUwRKWtbNsGeXcH2jJlQV+D5xdHKlL2a5iMypMO9kA5zI/UjnAxEEy3tXUqmiEh1c3fWhZUpk2qN2mItdxqxRNUpeaFkihRMdCWfliKu5JMRXdFnu5ZHFilrTz6ePQErdFUKDEym7NM0H5EhHerJbg+3kg8MrExp1zG7iFS53b1p2sP+UcXul5IxYKpPmwLzWFV8MsXMzjezG8xsm5m5mb0hh8dcYGYrzKzLzJ43sw8UYagVZ+fq7HYxl0XOaJgIdS3B9rZHQCt/iZSvp57Ibs8sQjxpHJBMKfzriZSjQz3ZP6wjTvOpifZM0R9jEaluz0b6pUwp8hSfjJl1KSaGsfne/T0c7EsnMo5yV/HJFKAFWA18OJedzWwxcCNwL3AG8G/AV83s0oKNsELtejy7nURlSrQJbWcb7Hu++GMQkfFzd556Ilx+tRYmTyn8a9bUGA3himDqmSIytI4ckyn1qkwRETliXYLNZzPM7Eh1So/DHft6RnmEDKV29F3Km7svA5ZB8EuTgw8Am9z9yvD6GjM7G/g48OtcX9fM5uewWxHXtym+zDSfmoagSiQJE+ZC27PB9rZHYOpxyYxDRMZu755sQmPqdEilivMtTmMTdHcHlSnptBftdUXKRUeu03wi9x1UzxQRqXLrwuazkFxlCgRTfR7tCMayrK2b189oTGws5arikyljcA5wy6DbbgauMLM6d+/N8Xk253dY5aWzDdq3BNuts4IqkSQMWNHnETj1rcmMQ0TG7vnnsttTpxXvdZua4MB+6OuDg+0waXLxXlukHAyc5jP8H/qBPVOUTBGR6jagMiWhnikAxzTWUGfQ63BzWzdpd1JJnbSVqWqY5hPXbGDnoNt2EiSephd/OOVpZ8JTfDK0PLJI+Xvu2ezJ19SpxXvdAcsjq2+KyFGiDWhz75lSwAGJiJSB58NkSopgNZ+k1JqxuDEI3nt6nUcO5lozIBlKpgxt8NcmNsztI1mQw+W14xtm6RrQLyXByUz1rdkpRttXgKu3kkjZWRdJpkwpYjJlQBNa9U0ROUpHd/yeKQc0zUdEqpi7H0mmTKq1xCtBoqv63NymvilxKZlytB0E1SlRM4E+IOfDaXffMtoF2JXHcZeUUqlMgWx1Sk8H7H0m2bGISHzr1wX/1jdAc0vxXje6PPLevToBFBks56WRoz1TevRZEpHqtbMnzaF0EAenJDjFJ+O46BLJe1U6GFfy72DpeRC4eNBtrwIeidEvperteiy7nWRlCkDroL4pIlI+Dux39u8LtidPzrmReF40aXlkkREd6s1xaeRIZcrBrgIOSESkxD03oF9K8v1JWmtSzK4PUgKPH+pja3f/KI+QqIpPpphZq5mdbmanhzctDq8vDO+/ysx+GHnIdcAxZnaNmS01s/cCVwBXF3fk5cvTsOuJYLtxMtQ2JDqco5rQikj52LQhu13sBrDRnima5iNytIE9U4Y/KahJGTXhEedBNaAVkSr2fFc2WTEloWWRBzuuMTrVR9UpcZTGO1hYZwMrwwvANeH258Lrc4CFmZ3dfT1wCXAhsAr4NPARd895WeRqt39jMKUGkq9KATWhFSlnGzdkT7yKnUwZ0DNln04ARQaL9kwZaZoPZKf6tOs4XUSq2PMlsixylPqmjF3FL43s7neRbSA71P2XD3Hb3cCZhRtVZctUpUBpJFPqmqBxCnTtg+0rId0HqYr/zZfxMLPzgb8HziJIuL7R3a8fYf8LgTuHuGupuz9dgCFWjU0bs9tFT6Y0ZrfbVJkicpSOHFfzgWCqz+FeLY0sItXt+cg0n1LomQIwpz5FcwoOp+HufT10p52GVGkkekpdabyDUlF2lVDz2YxMdUpfJ+x+KtmxSFloAVYDH475uBMJki+Zy7N5HlfV2bwpe+I1cVJxXzuVsiMJFSVTRI52qCd+ZcqhHuhPK6EiItUpM83HSHZZ5Cgz49im4JvmQ2nnwQOqTsmVvp+XvCuVZZGjJsyF3U8G29segVmnJTseKW3uvgxYBrEbnu5y9/1jfV0zm5/DbiXyqSo8d2frpmC7qRnq6op/0NHUDF1dsH8f9Pc7NSP0hRCpNodiVKbU1xoQJFE6emBS48j7i4hUmsHLItckvCxy1HGNNTxxKJiCdHNbDxdOSbjpZZlIvDLFzBYnPQbJr8yyyJaCpmnJjiUj2jdlq/qmVIQSjR0rzWy7md1uZheN4fGbc7gsy9dgS137AegI+y9NnJjMGDJ9U9LpYDxS3ko0bpStjrAypTYFqVFOCqLLI7d3qTJFyotih+TDnl7nYH/pLIsctbip5khfjFv3qblVrkrhXXzOzO40s8vMTN9TlLn+Hti7Nthung6pUb6pKpbWOdltNaGtGKUUO7YD7wcuBd4ErAVuD3uvyBht3ZLdnpBQMiW6PHKblkeuBKUUN8pepjJltCk+MHB5ZDWhlTJU0NhhZh8ys/Vm1mVmK8zsvFH2bzCzz5vZRjPrNrN14QqkUsLWlWDz2YymlDE3XCJ57eF+NnVpieRclEIy5YUEq+v8B7DDzL5pZi9OeEwyRnvWBg1eoXT6pUCwPHPz9GB752PQpwO5SlAyscPd17r7t9z9UXd/0N0/BPwR+HjMp1qQw+W1+Rt5adu6OfvtdSkkU7Q8ckUombhRCTI9U0ab4gNQPyCZosoUKTsFix1m9lbgK8DngTOAe4FlZrZwhIf9Avgz4AqCfm1vB9TwvsQNWBa5xCpTAI6NrOpzm5ZIzkni76K7P+HuHwXmAe8BZgP3mdmTZvZRM5uR7AgljgEr+ZTYOzdhXvBvuhd2rk52LDJ+ZRA7lgNL4jzA3beMdgF2FWa4pSdamZLYNJ/m7HbbXp0AlrsyiBtlJVZlSqTfUIeSKVJmChw7Pgp8x92/7e5r3P1Kgmm9HxxqZzN7DXABcIm73+buG9z9IXd/IM6Lmtn80S5UUZ+2Ylg/YCWf0qpMATi2MZJM2acmtLlIPJmS4e597v5b4C3AJ4DjgKuBLWb2QzObM+ITSEmIJlOaSyz8qm9KZSrh2HEGwfQfGaMd27MnXK0JJVOaNc2nIpVw3Cgb3X1ObzrYzqUyRdN8pBLkO3aYWT1wFnDLoLtuAc4d5mF/CTwC/IOZbTWzZ8zsajNrGmb/4ahPW5ENWBa5rmROw4+YXZ+iKRzW3ft76NXKa6MqmXfRzM42s2sJTj4+ShCYjgNeQZAF/l2Cw5McRVfyaS2haT4wMJmivimVoxCxw8xazex0Mzs9vGlxeH1heP9VZvbDyP5XmtkbzGyJmZ1iZlcR9E/5+rh+uCq3fWvwbyoFzc0j71sojZrmU5F0zDF+0ZV86lKjf8MabUB7QA1opUwVIHZMB2qAnYNu30lQ/TKUY4GXA6cCbwSuBN4MfCPma0uRPd+V7ZkyuQQrU1JmLAqrU9r7nYcP9iY8otKX+NLIZvZRgnK5E4EbgXcBN7p7+H0H683sb9E8wLKQqUxJ1UHDpGTHMljr7GCFIU/D1oeSHo2MV4Fjx9nAnZHr14T//gC4HJgDROcy1xMcUM0DOoEngde5+41jeG0B0mlnR1jX09oae4nqvGmKJHH2appP2dMxR/5k+qVA/J4pBzXNR8pMEWLH4A+FDXFbRiq8753ufiAyvl+Z2d+5e2eOr7kgh31ORdUpeZOpTJlYY9SW0LLIUcc21rDmcDDOO/b1cO6k+oRHVNoST6YQzAf8LvA9d98xzD6bCBosSQnrPgj71wfbLTOh1GJEqjZoituxHfY8Dd3t0JDQ1AHJi4LFDne/Cxj2N9jdLx90/YvAF+O+jgxv7x7oDb8QSWqKD0BDQxDL3FWZUiEKeswRruD19wRl+3OAN7r79aM85gKChO0pwDbgi+5+3Vhev5gGVKbkNM0nG1LbuwowIJHCKlTs2AP0c3QVykyOrlbJ2A5szSRSQmsIjlvmA8/m8sJhH7YRmVmJTdovX/t607T1ZZZFLrGTpIjFkb4pt+/r4VOLkhtLOSiFaT4XA18YHJgssBDA3Xvc/QeJjE5ytvup7HZLiYbeiWETWhy2PZLoUGT8FDsq2I5t2e3W1uTGYWZHVvRRz5SKUOi40QKsBj6cy85mtpjgW+57Cfos/RvwVTO7dIyvXzRxK1Oi03y0mo+UoYLEDnfvAVaEzz/49YZrKHs/MNfMon8dTwDSwKgJEknG+hJfySdjQm2K6XVBsufRg73syzTHkiGVwju5jmC+4GBTgfVFHouMw4CVfEo0mZJZ0QfUhLYCKHZUsAHNZyckOBCyU30O7IfeXp0ElrmCxg13X+bun3L33+T4kA8Am9z9ynAVj28TfPsda1n1JFbl6IhMpc+tMiW7fUCVKVJ+Chk7rgHeZ2bvNbOlZvZlgqnE18HRfdqAnwJ7ge+Z2clhRdyXgO/GmOIjRRZdyWdyXelWpkC2OiUN3HNAq/qMpBSm+Qz329QK6M9tGYk2ny2LZMqfkhuH5IViRwXbGfnuL8nKFBjYhHb/PphRovFNclJqceMcjl7F42bgCjOrc/dcu/9tzu+wRjewMiWHBrTqmSLlrWCxw91/bmbTgM8QTA98gmDZ443hLgP6tLl7h5ldDHyNYFWfvcAvgE+NZxxSWNHms6VcmQKwqLGGhw8G471rXw+vn96Y8IhKV2LJFDPLNHR04HNmdjhydw3wEmBVscclY1cOlSnN06CmHvp71IS2XCl2VIcdkWRKS8LJlGgT2ra9SqaUoxKOG7MZehWPWoJvwUt2efVoz5RcpvnUpoyaFPSnoV2r+UiZKFbscPdrgWuHue/yIW57mqOnBkkJWxddFrmEe6YALGyoIUVQmXLnPlWmjCTJypQzwn8NeAEQfad6COYcX13sQcnYZSpT6pqhPuGTn+FYKqhO2b8eDm6F9q2RPipSLhQ7qsDOcJqPGTS3JDuWpkhlyt49yY1DxqWU48ZQq3gMdftIir4qx+FIZUou03wg6JtyOA0HuvM1CpGCK+XYIWVkwDSfEq9MqU8ZcxtSbOlOs66rn81d/SxozDHQV5nEkinufhGAmX0P+N/u3p7UWGT8Du0KLlC6VSkZE+ZmVx3a+ieY+KZkxyPxKHZUh8w0n6ZmqMlhCkEhRZMpbXudERZ6khJVwnFjB0Ov4tFHULqfkyRW5YhbmQLBVJ/DvXBQlSlSJko4dkiZeT5sQNuSMhpSpX8csaihhi3dQfPZu/f3cNnsplEeUZ0ST4u5+3sUmMrfriez26WeTJk4P7u9RX1TypZiR+U61OF0HAy2k+6XAkdP85HyVYJx40GOLtV/FfBIjH4piegYS2VK+BXeoV7o7VdCRcpHCcYOKSOH+p0dPUFiYkqJN5/NWBSpRLl7v6b6DCeRyhQz+w1wubu3h9vDcnfVDZSBcmg+m6EmtOVLsaM67Ip0kEi6XwoMTKZomk/5KWbcCJcqPT5y02IzOx1oc/dNZnYVMM/d3xXefx3w4bAvw7cIGtJeAbx9POMohoGVKbmdHDTUGJnZSwe7YWrzyPuLJEnHHJIvGyLNZ0t9ik/G3IYUdQa9HiRT3B2z8kgEFVNS03wOkJ0LfCChMUge7YwkU5pLPJnSMAEaJkH3Adj2CKT7IFUK61pJLhQ7qkB0JZ+WhPulwFDTfKTMFDNunA3cGbmeaV75A+Byjl6VY72ZXQJ8Gfg7YBvwEXf/dYHHOW6HxlGZAtDe7Uxt1oG5lDQdc0helFPz2YwaM+Y31LC+q5/tPWme6+xnSbNOmAZL5H/E3d8z1LaUr91lsJJP1MT5sPsA9B4KViGafXrSI5JcKHZUh927sidppVCZUldn1NU5vb2a5lOOihk33P0uRmiqM8yqHHcDZxZuVIUx1p4pGVrRR0qdjjkkX54fkEwpj8oUgGMaU6wPe73cvb9HyZQhJP5umlmTmTVHrh9jZlea2auSHJfkztPZZZEbJ0NtQ6LDyUm0b8rmB5Mbh4ydYkflGjDNpwQqUyA71WfvXnDXSWC5UtzIn/FWphzoyvOARApIsUPG4/kyrEwBOKYhG9zvPaC+KUNJPJkC/A54F4CZTQYeAj4G/M7MPpjguCRH+zdCT0ewXQ5VKTAwmbJ1eXLjkHFR7KhQO3dkT9KaS6AyBbJTfXq6oaMj2bHIuChu5ElH5Li6LsejyYZIb5X2biUlpawodsiYZVbyAZiSa8AsAbPrU9SHYfve/b36MmkIpfBungncG26/mWCZwGMIAtZHkhqU5G5XGfVLyWidDRYmWzc/kOxYZMwUOyrU7rAyJZUa2K8kSWpCWzEUN/IkU5lSV0POTQkbI5Up+zt1UC5lRbFDxuz5zqABbWMKmspgWeSMlBkLwuqU3b1p1kYqbCRQCsmUZiBcBJNXAb9x9zSwnCBISYmLNp9tLZNkSqoWJswNttueg0O7kx2PjIliRwVy9yPTfJpbcj9JK7TmaDJF8aKcKW7kSaYyJdd+KQCNddntA935HY9IgSl2yJh0pZ0t3eGyyGXULyXjmMgSyfdqieSjlMI7+hzwBjNbALwauCW8fSag9dzLwIBlkWclN464olN9tqhvSjlS7KhAHR3Q2Rlsl0q/FBhcmaJv1MuY4kaeZCpT4iRTGiK9Ag6oMkXKi2KHjMmGrv4jS0KVU7+UjIUN2XTBfeqbcpRSSKZ8Drga2AD8yd0zp7WvAlYmNSjJXSaZYilompbsWOKYuCC7rak+ZUmxowJFm882l1AyJVqZohV9ypriRh64+5HVfHJtPgsQ+YKTA1rNR8qLYoeMybpwig+UZ2XKrEjflPvUN+Uoia9v5O6/MrP7gDnA6shdtwO/TWZUkqu+btizNthung6pGAdVSZsUTabcn9w4ZGwUOyrT7hJcyQfUM6VSKG7kx+FejnzTWl+T+zetDZFpPvu1mo+UEcUOGavoSj5Ty6j5bEbKjPkNNTzf1c+u3jTPdvZzgpZIPqIk/ifcfQdBI6fobQ8lNByJYc/T4GGMKKcpPgD1rdA4Bbr2wdaHg8RQOSzrLFmKHZVn967sNx4tJbKSDwxMpuzZrW9lypnixvgdilR6x+qZosoUKWOKHTIW68p0WeSohY2pIysS3X+gR8mUiMT/J8ysBfhH4M8I5h0OSNm5+7FJjEtyM6BfSpk0n42atDBIpvR3w/YVsODcpEckuVLsqEylOs2nvh5qaqC/H/aoMqVsKW7kR6ZfCsSb5lNbY9SkoD+tZIqUF8UOGauByZTyq0wBwhV9egF44EAv75mT7HhKSeLJFODbwAXAj4DtZCtHpQzsLNPmsxmTFsLOsFhz471KppQZxY4KFK1MKaVkipnR3OwcPBis5uPuJbPSkMSiuJEHHZFkSpzKFAiWRz7UAwc0zUfKi2KHjMmRZZENmsozl8Kc+hS1Bn0eVKZIVikkU14LvM7d1bWiDO16LLvdWqbJlIxN9wKfSGwoEp9iRwXK9Ewxg6amZMcyWFMLHDwIXV1wqANaJyQ9IhkDxY086IgcS8epTIFsMmW/KlOkvCh2SGxdaWdzuCzy5LpU2X4JU2PGvPoUG7vTbO5Os6mrn4WNZdQos4BKIT+2D2hLehAyNpnKlNpGqC/DE4umaVAX9kLYdB+k+0feX0qKYkcF2r0r+LepGVKp0jroiK7os3t3cuOQcVHcyINDAypT4n1OG8Kv8br7oKtXCRUpG4odEtuGzuyyyFPLtF9KRjDVJ/CAqlOOKIVkyqeBz5lZ86h7Skk5vBcObg22W2YG3ySXGzOYdEyw3X1gYA8YKXmKHRWm87DT0RFsl9JKPhnRaUd7lUwpV4obeTDWBrQADZETClWnSBlR7JDYno0sizy1TPulZCyIVKLcf6A3wZGUllKY5vMx4Dhgp5ltINPdJuTuZyYxKBndrjLvl5IxaSHsWRNsb7wHZp+e6HAkd4odFWbXrux2KfVLyWg+akWfMswgi+JGHnR0j71nSlPkyHN/J8wuw6pWqUqKHRLbgOazZbgsctTc+hQpII0qU6JKIZlyfdIDkLHZWeb9UjImL8pub7gLXvKRpEYiMV2f9AAkv3ZHkiklWZkyIJmS3DhkXK5PegCV4NB4eqbUZbf3daoyRcrG9UkPQMpPNJlS7tN86lPG7PoU23rSPNPZz57eNNPLPEGUD4knU9z9X5Ieg4xNNJlSzpUpLbOCni99XbDxbvA0mGJDyVPsqDylupJPRnRM0cSPlA/Fjfw41DueyhQjsxDKPk3zkTKh2CFj8Vx0mk8FJB7mNwTJFIDlB3r48+mNCY8oeSXxrprZZDN7n5ldZWZTw9vONLN5SY9NhpdZUhiCninlygwmLQq2O9sGLvcspU2xo7JkVvKBEq1MGZBM0UlguVLcGL+O7ux23Aa0jZGv8fYd1udIyodih8SVqUxpSkFjiTXVH4sBTWjb1TcFSqAyxcxOA24DDgCLgG8RdMt+I3AM8K7EBifDSvfBrieC7aapUFOf7HjGa/Ii2Pt0sL3+Dpj9wkSHIzlQ7Kg8u0u8Z0ptrdHQ4HR3a5pPuVLcyI+OnnFUpgyY5pOnAYkUmGKHxHWwL832sIpjWgVUpQDMjyRTlqsJLVAalSnXAN939yVAV+T2ZcD5yQxJRrP32WBaDEDL7GTHkg9TFme3N9yR3DgkFsWOClPq03wgO662vdDXp2/Vy5DiRh4MrEyJ99jGOq3mI2VJsUNiGdgvpRROucevucaYFvZ+WdXRy+F+xfBSeGdfBHxziNu3AhVwml6ZolN8yrn5bEbzDKgLT5I23A39SraWg4LFDjM738xuMLNtZuZm9oYcHnOBma0wsy4ze97MPjCeMVSjTGVKYyPUxJw6UCyZZEo6HSRUpOzomCMPBlSmxKxxjq7m06ZpPlI+FDsklueiyZS60jymGYtMdUqvw6MHdcJUCsmULmDiELefCKiQukTtiCZTKuBPiBlMOTbY7jkIWx9KdjySk0LGjhZgNfDhXHY2s8XAjcC9wBnAvwFfNbNLxzmOqtHT4+xrC7ZLtSoFBvZyURPasqRjjjzoiK7mE/NIUqv5SJlS7JBYBjSfrZDKFAia0GY82K4lkkvhnf0d8Bkzy/x5dTNbCPw78OvkhiUj2bkqu13OK/lEZZIpAOtuSW4ckrOCxQ53X+bun3L33+T4kA8Am9z9Sndf4+7fBr4LfDzO65rZ/NEuQBm3ex5etAdJS2ty4xhNNNGza6dOBMuQjjnyoKM7+N2vrwGzeN+4NtRA5hHqmSJlpKCxw8w+ZGbrw+rWFWZ2Xo6Pe5mZ9ZnZqvGOQfLr2cOVN80H1DdlsFJ4Zz8OzAB2AU3A3cBzwEHg/yY4LhnBjlXBv7VN0DBUnr4MRZMpzyuZUg5KKXacAwz+rbkZODty4JWLzTlclo17tCWo1JvPZgyoTNk5/H5SskopbpStTGVK3H4pECRfMiv6qGeKlJGCxQ4zeyvwFeDzBNWt9wLLwmTNSI+bBPwQuH08ry+F8WxYmWLAlAqa5jOl1mgOMwh/au8l7dUdxxNfzcfd24GXm9lFwFkECZ5H3f22ZEcmw+nYEVwgmOIT80upktUwMeidcnh3MM2nsy1YqUhKU4nFjtnA4FPrnQQxdjqwvegjKjPR5rOluCxyRrRqZqeSKWWnxOJG2YpWpoxFUx109sFe9UyRMlHg2PFR4DthVSvAlWb2auCDwCdHeNw3gZ8C/cAb4r5oWO06moqshi00d+eZsDJlUq1RWyknSwQJ8fkNNTzT2c+BfmfN4T5OaYnzvWFlSTSZYmYp4HLgTQTLjDmwHthhZuZe5amuErWjwprPRk09PkimeBrW3QqnvjXpEclQSjR2DH5NG+b2kSzIYZ9TqcDqlF2RxERJV6ZEkim7duhPVDkp0bhRdvrTzqGwsnvsyRSDTqezFw73OM31lXOiIZWnkLHDzOoJkjP/PuiuW4BzR3jce4DjgMuAT43x5TeP8XEyim09aQ6lg1+LaRU0xScjk0yBYKpPNSdTEnt3LZhk+3vg28A84HHgSYK12r8P/DapscnIMlN8oDKWRY6aenx2+9k/JjcOGV6Jxo4dHN3NfybQB+S85ou7bxntQlBiXHGiU2ZKuWdKXZ1R3xBsqzKlfJRo3ChLhyNT5Otrx5YEaY4cd+9RdYqUsCLEjulADUNXtw55lG1mSwiSL+90976h9pFkPXs4+7ZMq6ApPhnRJrTL26u7b0qSlSmXE6zL/mfufmf0DjN7BXC9mb3L3X+YxOBkeDtWZrcrYSWfqEkLoaYe+nvguWWQ7ofUGL95k4K5nNKLHQ8CfzHotlcBj7h7df+VyVG5TPOBYHw93dC2B/r6nNoxnlBKUV1O6cWNsnSwO7Is8jim+WTsPewsnDy+MYkU0OUUJ3YMVd16VKbRzGoIpvb8s7s/M87XrNpq2EJ7JrIs8rS4S56Vgdn1KWoN+lzJlCTf3bcD/zY4MAG4+x2EGdeij0pGlUmmWA00T092LPmWqoUpxwXbh/doieQSVfDYYWatZna6mZ0e3rQ4vL4wvP8qM4seOF0HHGNm15jZUjN7L3AFcPV4xlFNMtN8Ghoo+eREpnImnYY9FVknVJF0zJEnHd3Z7bEmU6LTevYcUmWKlLRCx449BD1PhqpuHar+cQJwNvD1cBWfPuAzwAvD66/I9YWruRq20NZGK1MqcJpPjRlz6oOfa0NXP9u7+0d5ROVK8t09DbhphPuXAS8s0lgkRz0dsPfZYLt1VmVWbUxbkt1e+/vkxiHDKkbsOBtYGV4Argm3PxdenwMc6bLv7uuBS4ALgVXAp4GPuLuWWs1Bb6/TFk6GKuV+KRnRaUg71Fq4XOiYI086evJdmTLOAYkUVkFjh7v3ACuAiwfddTHwwBAPaQdeAJweuVwHrA23/zTWsUj+PH0oOs2n8pIpMHCJ5D9VcXVKktN8pjJ0xjVjJzClSGORHO1YzZGiw0qb4pMx9QSOFFeuvR5eeVXCA5LBCh473P0usg1kh7r/8iFuuxs4czyvW6327gmqPKC0+6VktA5Ipjgj/KpI6dAxR54c7Mlu1421MmXQNB+RElaM2HEN8CMze4Rg2vD7Cb6wuQ6Calhgnru/y93TwBPRB5vZLqDL3Z9ASsLacJpPcwqaayrzGGFw35Q3zGhMcDTJSTKZUkPQnHE4/ZTA0s0y0PZHs9utc5IbRyHVt8CkBXBgE+x5GnavgRlLkx6VRCh2VJhdO7Lb5VCZ0johu63KlLKhuJEnHQN6poy1Aa2m+UjZKHjscPefm9k0guk6cwiSJZe4+8ZwlwHVsFLa9vWm2dkTfENUqVUpAPMipYnL23tG2LOyJXngYMD3zax7mPsbijkYyc32FdntSk2mAEw/KUimADz1K7jg08mORwZQ7KgwO3eWT/NZGKoyRcqA4kaeHIz8DzaM8SiySav5SPkoSuxw92uBa4e57/JRHvtZ4LP5GIeMX7RfyvQKTqY01RjT64w9vc6qg30c6ndaKrQKZyRJJlN+kMM+6qpfYo5UpljQM6VSTT8Z1t0SbD/1SyVTSoxiR4WJVqa0lsE0n6ZmSKWCqUk7VZlSLhQ38iS6mk9DHqb5qDJFSpxih8Ty9OHK75eSMb++hj29ffQDKw72cv7k+qSHVHSJJVPc/T3Fei0z+xDw9wRlck8CV7r7vcPseyFwVMduYKm7P12oMZaD3k7Y/VSw3TIzWPmmUjVOggnz4OBW2PW4pvqUkmLGDimOXZHZ6OXQMyWVMppbnI6DwTQfd8es+r6NKSeKG/kzYGnkMR4H1NUY9TXQ0w+7OpRMkdKl2CFxPX04u7LNjApPpsxrSLHqULC9/EBPVSZTKvsdBszsrcBXgM8DZwD3AssyS5yO4ESC5Evm8mwBh1kWdq4GD+NDJU/xyZh5anb7iZ8lNw6RSrdzR2SaTxkkUwAmhH1TurthX1uyYxEppgHTfMZR0t0SHnPv7HDclVARkcqw5lB0mk9lf9ESXdFneZWu6FPxyRTgo8B33P3b7r7G3a8ENgMfHOVxu9x9R+QSawFtM5s/2oVgDfmyse2R7PaEucmNo1hmnMKRRToe/wnoWE+kMDKVKY1NUFMm821bJ2a3t21Nbhwixdaeh8oUgNb64LPe1TcwQSMiUs7WhNN8GlPQkiqPY5qxmlJrR37Gh9p76a/Ck6WKTqaYWT1wFnDLoLtuAc4d5eErzWy7md1uZheN4eU353BZNobnTUy1JVMaJsCUxcH2vudh033JjkekEnV3Ofv3Bdvl0C8lY0JkRZ9tW6rv4EGq18DKlLE/T0ukGnyHpvqISAXY15tme7iSz4y6VMVPATazI0skH+j3AVU51aKikynAdIIlzQavD78TmD3MY7YTrO9+KfAmYC1wu5mdX6hBlovMSj6Wquzms1GzTs9ur/puYsMQqVg7o/1SymAln4wJqkyRKpWPnikwMJmivikiUgmeqpKVfKKqfapPBbcQHWDwX2kb4rZgR/e1BAmUjAfNbAHwceCeGK+5IId9TqVMqlN6Oqqn+WzU9JOgpgH6u+GJn8OrvwyNk5MelUjl2BFZDadlwvD7lRpVpki1yiRTagxqx1HCHkzzCZ5LyRQRqQRPRiozZlZNMiX7cz5woJf3VcHshahKf5f3AP0cXYUyk6OrVUayHFgS54XdfctoF2BXnOdM0vZHwYOqtaqY4pNRUwezTgu2+zph9Y+SHY9Ipdm5PXsSVU7TfJqaoSb8MmarKlOkimSm+TSM80sVTfMRkUozIJlSX+mn2YFZ9Slqw7z68vaeZAeTgIp+l929B1gBXDzorouBB2I81RkE03+q1taHstsT5iU3jiTMPTu7/dDXskklERm/aGVKaxlVppjZkak+O7dDb49OBqU6ZBrQ1o+jXwpAS322qmXHQX1+RKT8PRFJplT6ssgZNWbMCxNHm7vTbO6KtWZL2auGd/ka4H1m9l4zW2pmXwYWAtcBmNlVZvbDzM5mdqWZvcHMlpjZKWZ2FUH/lK8nMvoSse3h7Ha1JVNaZsLksBFt27Pw7I3Jjkekkuwo08oUgImTgn/Tadi2LdmxiBRD2p2OsDJlPP1SACY0ZLe3tetbChEpb2nPNmCdVGM0VPhKPlHRvikPVll1SsUnU9z958CVwGeAVcD5wCXuvjHcZQ5BciWjHrgaeAy4F3g58Dp3/02RhlyStvwp+DdVBy0zkh1LEua9JLt9/xeSG4dIpclUptTWQkNjsmOJa2KkCe3WzcmNQ6RYDvVkG841jHMZ8+Y6qAmPQre2qzJFRMrb+q5+DvYHsaxapvhkRPumPHiguprQVsU77e7Xuvsid29w97Pc/Z7IfZe7+4WR61909+Pdvcndp7r7ee5e1bUIHTvgQJh6mjA3WM2n2kw7AZqnB9ub7oMNdyc7HpFK0N/v7NoRbLe0UnZLCGYqUwA2b9LJoATM7ENmtt7MusxshZmdN8K+F5qZD3E5qZhjzlV0JZ/x9kwxMyaEfVO2HnDc9RkSkfL1eEd2is+sKkumzGuoIXME94CSKSIDZapSACZW2RSfDDNY+PLs9bs+AzruExmf3TuhP5xaO6GM+qVkDEymJDcOKR1m9lbgK8DnCfqt3QssM7OFIz0OOJGgUjZzebaAwxyz9q7s9nh7pgBMaAgOvw/3wv6uUXYWESlhq6PJlCrpl5LRkLIjP/NTh/to662eqZvV9U7LmGyNJFMmzE9uHEmb+QJomhZsb7wHnv1jsuMRKXfbIqvglFPz2YzWCZAK/4puWq/sqgDwUeA77v5td1/j7lcCm4EPjvK4Xe6+I3KJ1cHPzOaPdiFYyXBcDkQqUxrHWZkCMDEytW/rAX2GRKR8PXYoW5FRbZUpAPMbsz/z8vbqqU6pvndaYtvyYHZ7YhUnUywFi1+RvX7Lx6CvO7nxiJS77duyJ08TJo6wY4lKpexIdcq2rVrRp9qZWT1wFnDLoLtuAc4d5eErzWy7md1uZheN4eU353BZNobnHeBAZ3Saz/in5WUqUwC2HKiebzJFpLK4O6sOBpUpjSmYOM6eUuVoYaQJ7QMHqqcJrZIpMqJ0X3ZZ5IZJ0FCG3x7n0/SlMHFBsL33GXjg6mTHI1LOyr0yBWBSZEWfLWpCW+2mAzXAzkG37wRmD/OY7cD7CVYNfBOwFrjdzM4v1CDH40DkC4S8VKZEVvTZrMoUESlT23rS7AqntsyuT5VdD7h8WBBJptxfRX1T8vCnUCrZzseg93CwnUkiVDMzWHIJrPhvwOGez8FJr4eZpyY9MpHyM6AypUyTKRMnZ7c3bnAWH1d9B1BylMFZARvitmBH97UECZSMB81sAfBx4J6hHjOMXP5Cn8o4q1MGVqaM55kCk5uyn5f1+1SZIiLlaeXBbPJgTj4aSpWh5hpjWq2xt89Z1dFLR3+a1prKr9uo/J9QxmXzA9ntap7iE9U6G+afE2z398Cv355NOIlI7jKVHHV15bcscsbkydntDc8nNgwpDXuAfo6uQpnJ0dUqI1kOLInzwu6+ZbQLsCvOcw7lQB5X8wGYHPncr29TZYqIlKeVkeazs6uwX0rGwsYgkdTn8FCV9E2p3ndbcrLpvuz2pNHWIqgiiy6ElrCV364n4Ia/0eo+InF0dTl7wlO7iZPKb1nkjMlTs9vr1ykIVDN37wFWABcPuuti4IGjHzGsMwim/5ScA53Z7cY89ExpqDWa64LtDapMEZEytSJSmVLNyZToVJ/79iuZIlXOHTbdG2yn6qB1VrLjKSU1dbD0zcH/C8DjP4U7PpXsmETKydYt2e1ybD6b0dRkNDYF28+vC5rQSVW7Bnifmb3XzJaa2ZeBhcB1AGZ2lZn9MLOzmV1pZm8wsyVmdoqZXUXQP+XriYx+FPmuTAGYFFan7D4EHWriLCJlJu1+JJnSkjImVWHz2YyFDdnUwr1V0oRWyRQZ1oGNcHBbsD1xQbCajWS1zIClb8xev+/f4I5Pq0JFJBdbNmU/KBPLOJkCMGVK8O+hDtg97okUUs7c/efAlcBngFXA+cAl7r4x3GUOQXIlox64GngMuBd4OfA6d/9NkYYcy/7O/C6NDDAl2jelTdUpIlJenuvsZ39fEBvnNlRn89mMCbUppoRViysO9nKov/JPinR6LMPaGGl9N0nNZ4c0fSkc/9rs9Xv/FX7/Pi2ZLDKarZGVbzLLC5er6FSfdc8mNw4pDe5+rbsvcvcGdz/L3e+J3He5u18Yuf5Fdz/e3Zvcfaq7n+fuNyYy8By0h3/bDMhXj8VoMuWZPZV/4C0ileXhSG+QuVU8xSfjmHCqT6/DQ+2VX52id1yGFU2mTF6U2DBK3rwXw3GvyV5f9V343sthr06qRIa1aWNkJZ8yT6ZMnZbdfnatTgalcmUqUxpq89fnaHpLdnvtblWmiEh5WR5JpsxrqM6VfKIyTWgB7qmCvilKpsiwMskUS8GEecmOpdTNfwksvRRSYdnztkfgm6fD8q9Auj/JkYmUps3hpIeaGmhtTXYs4zVNyRSpEu3d2WRKvkxrziZllEwRkXLzQNgbJIUqUwCOacz+H9xTBX1T9I7LkA5ug7awsmLCvKDhqoxs5qlw+nuhKSz57z0MN/8f+NaLYMvyZMcmUkq6upwd4Vol5byST0Zjk9Ecfru+7lnor4I5wlJ9+tNOe1ewna9+KQDNddnnUzJFRMrJ7p40z3QG35rOrk9Rlyrv45l8aK1JMS3TN6W9l/a+yo7rSqbIkNbfmd3WFJ/cTZgDZ/0tzD07e9uOlfCdc4JeKof3Jjc2kVKxZVO2UfOkyYkOJW8yU326umDj+mTHIlII+7sgkybMx7LIGWbG9Jbg+fYcht0dSkaKSHl4INITZH6DTqszFoVTffqB+w9U9lQfvesypA1KpoxZTT0seV1QpdISWU565XfgGyfB4z/Tij/lwMw+ZGbrzazLzFaY2Xkj7HuhmfkQl5OKOeZysXFD9gNQKcmU6TOy22ue1AdcKk/b4ezvdVOeq1VnRvqmPLZDc2NFpDzcuz+bTDmmUf1SMqL/F3ftr+ypPkqmyJAyyRSrCZZFlvgmLYCz3g/HvRpqGoLbDu+B37wDfvVW6Nqf6PBkBGb2VuArwOeBMwiWLF1mZgtHehxwIsHSp5mL2hAPYf267PbkKcmNI59mzMxuP/WEkilSefZ1Fi6ZMqs1W+ny2I7KLgkXGUrML3DeZGa3mtluM2s3swfN7NXFHK8E7g4TBQYsUPPZIxY21pCJ6nfuq+wlTpVMkaPsez64QJBIUb+UsbMUzH8pvOjvgmWUM576JXzzTNixOrmxyYg+CnzH3b/t7mvc/UpgM/DBUR63y913RC6xvmI1s/mjXYCZoz5RiXv+uexJWaUkUyZNhtqw78OaJ8FVfiYVZkBlSh6n+QDMmhBJpmxXMkWqyxi+wDkfuBW4BDgLuBO4wczOKPxoJWNHdz9PH872S2lQv5QjmlLG7LAZ75rD/WzvrtyKQyVT5CjP35bdnrI4uXFUkoYJcMpbYOmbobYxuG3/evjuufDMH5IdmwxkZvUEBye3DLrrFuDcUR6+0sy2m9ntZnbRGF5+cw6XZWN43pLR3+9sCJO1LS3Q0FAZBx+plB2pTtm/DzZvSnY8IvkWrUxpzPOXLK31QSNagFXb0/SnlYyUqhLrCxx3v9Ldv+juD7v7s+7+TwSVsH8R50Wr5QucQrltX3b6ymJN8TlK9P/kzgqe6qNkihzl+Vuz21OOTW4clWjmKUGD2glzg+u9h+F/3gCrf5josGSg6UANsHPQ7TuB2cM8ZjvwfuBS4E3AWuB2Mzu/UIMsV9u3BU1aASZPTXYs+TYz8tvx2EqdDEplaevMbud7mo+ZMSesTjnYDWt36/Mj1WGcX+BkniMFTADaYr58xX+BU0i3RaavHNekZMpg0WTK7W1KpkiVSPdlK1NqG7Mn/ZI/jZPh9PfAjFOC694P118Oq76f4KBkKIOP5m2I24Id3de6+7fc/VF3f9DdPwT8Efh4zNdckMPltTGfs6Q8uzb7XzilwpIpsyLJlFWP6mRQKsuAnil5nuYDMG9S9jkf3lK5JeEig4zlC5zBPga0AL/I47hkBL1p5/awMqXBYG69TqkHm9eQoj4M67fv7yZdodOfa5MegJSWrQ9lG6NOOS7o+SH5l6qFpZdCXTNsexhw+N17ob4VTn5z0qOrensIVnMbfBAzk6MPdkayHLgszgu7+5bR9jGzsi65febp7Pa06cmNoxAmTYbGJujqhCdWQ3eX09BYGdOYRKI9U/I9zQdg7sTsZ2X5pjTvPiv/ryFSwnL+AmfATmZvBz4LvN7dd8V8zVyWmDgVVacc5b4DPezvC96e45pqSJn+1g9WY8aixhqe6exnb6+zsqOPsyZUXiNOnSrLAM/dlN2eclxy46gGZnD8a2HeS8IbHH7zTth4b6LDqnru3gOsAC4edNfFwAMxnuoMguk/EvHMmuyx4dRpCQ6kAMyMufOC7Z4eeGxVosMRyau2Aq7mAzCtGRrDr/iWb+6nT31TpDqM+QucsHHtd4C3uPttI+07FHffMtoFiJugqQo37MlO8TmhWbUJwzk2MtXn1rbKXNVHyRQZINoMderxyY2jWpgFSyfPPj243t8DP39DdjUlScw1wPvM7L1mttTMvgwsBK4DMLOrzOxIpxszu9LM3mBmS8zsFDO7iqB/ytcTGX2J6ux0Nm4ItidNhrq6yvsmZ8687PZDD+pkUCpHpjLFgEKsAJoyY8GkbN8Ureoj1WCsX+CEFSnfB97h7n8s2ADlKH3u/HZP0PythoEJAxno2EgvmZsrtG+KkilyxMFtsGNlsN06J1iBRgrPDJb8ebYSqLMN/uf10HMo2XFVM3f/OXAl8BlgFcEyhJe4+8ZwlzkEyZWMeuBq4DGCJQ1fDrzO3X9TpCGXhaefgnR4fjR9RrJjKZRZs7NLJC9/wOntVUJFKsOe8G9Sc11QhVUICydnn/ee9eqbIlUj7hc4bwd+SNArZbmZzQ4vk5IYfLW5a18Pe8K/7UuaarQk8ggm1aaYEX5xtuJgL7t7Ki9JrmSKHLH2huz21CXJjaMapWqCXilN4bSHXU/AH/4WKrRXU1lw92vdfZG7N7j7We5+T+S+y939wsj1L7r78e7e5O5T3f08d78xkYGXsCcfy/5Cz5yV4EAKqLbWmDs/2D7UAStXJDsekXzoTzt7wsqU5vrCvU40mXLX85V30C0ylDF8gfO3BH0vv0EwnThz+c/ijLi6/Xhndmmzk1s0xWc0xzcF/0cO3FSBU32UTJEj1l6f3Z5+YmLDqFq1jXDq26AmPFB9/Cfw6LeTHZNIPj2+OptMmVHWbXRHdsyi7PbtN+uEUMrfvk7ItDBpqS/ct7CtDcaMlmD7iZ1pdnbo8yPVIeYXOBe6uw1xuTyJsVeT3T1pfh/2S2lKaUnkXBwf+T+6ca+SKVKhutth/R3BdsPEYJqPFF/zdDjxL7PXb/rfsPup5MYjki/tB5znngm2J06CxqbKLYudNQeamoLtFQ/Bnt0qMZPytqsj+zvcXODFGBZNycaGO57TVB8RKR3f3X6YzOzd01rqqNUqPqOaW5+iOcw43LGvm8P9lXVMpGSKAEHj2f6wL9C0E4M+HpKMGafAnHBJyL5O+PU7oK/yErlSZVY96kemrc2Zm+xYCi2VMhaHDbzTafjD9ZV14CDVZ3dkWeSWAk7zATh2avbQ9JZnlUwRkdJwuN+5btthIGjEfeYETfHJRcqMJeFUn8NpuH1fZZ3UKJkiADz1y+z2jFOSG4cEjns1NIcNOneuhjs/k+x4RMZrxUPZ7UpPpgAcvwRqwsrWW2509u9TQkXK1+4BlSmF/bZlRgtMCBM2yzelae/SZ0dEknft1sNHGs+e1FzD5FqdRufqxObsVJ/f71EyRSpMdzs8uyzYrmuBSQuSHY9ATR0svRQsjD0PfAk23ZfsmETGqrvbefhPwQFIXT1Mq9CVfKIam4zF4QpdXV3wsx/qhFDK1+5DkWRKgStTzIxjpwUJm9403LFO1Skikqyt3f1cszlY0syAl08qcCCsMMc01tAQ5uFv3NtNd7pyjomUTBHW/Bb6wyThjJPB9FtRElpnwaKLwisO179byyVLeVq1ArrC5vfz5kNNTXXMIzz51Owyybfe5Dy2snIOHqS6RJMphWxAm3H8tOyByE3PKJkiImPj7mzq6ueBAz3cs7+HJzp6Y/fsSLvz4WfaORg+7oWttUyv08lSHLVmLGkODoja+53bKmiqj34ThMd/kt2e+YLkxiFHW3AOTAwrhfY9D7d9ItnxiIzFnbdlV+RYcEyCAymyxibj1Bdmr1/z72m2bVFCRcrPzoORZEqBG9ACzJmQfZ171vdzsFufGxHJ3eMdvXzkmXaOX76HUx7aw6tX7+N1j+3jnEfbmHP/Ls57dC//b0MHj3f04j58fHF3/un5Dm7bFzSWbEkZF05WVcpYnBSZ6vPrXUqmSIVo3wLP3xZsN06GifMTHY4MYik48fWQCr/dfvgbsP7OZMckEkfbXueRPwXbTU0wa3ay4ym2JScGq/sAtLfDP308zcPLfcSDN5FSs7U9+H01Ct+AFgZO9enph9u1qo+I5GBbdz/vXrOfcx9t43s7OtnVe/Ty6mlgVUcfX9x0iHMfbeNFK/byhY0dPHWob8Df5m3d/Vz+9AG+sTXbdPYvpzfQlKqO6tp8O7axhsYw8/DHvV109B/93pQjJVOq3GM/BsK4MeuFWsWnFDVPg8WvzF7//XuhpyO58YjEcePvnXT493LxccFKN9XEzDjn5TBpcnC9/QBc9S9pPv6/0vz8J2lWPeocOqTEipS2bQeDD3FLPdQU6TO8ZHr2EPWPa/uK8poiUr5+t7uLFz+yl9/szlY91FlwEv+iCbW8dGIdL2ipZeagKTprD/fzrxsP8ZIVe1m8fDcXrdzLS1fsZemf9gx4rtdOrWdRYw0yNjVmLG3OrupzQ4U0otWaTlXM0/Dot7PXZ71w+H0lWfNeDHvWwIGNsH8D3PoJeN03kh6VyMgOHnRu+kOQKEil4LglCQ8oIfX1xkWvdJY/ADu2BbetXwfr1zngmMHxJ8B5Fxp/9iqjqbm6Ek5S2jp7nbbgi1kmNBTvdedOCJI3h3rgvvVpDnQ5kxr12RCRgdLu/OuGQ3xpc7axYHMKzp1UzwtbaqkfIgHc0Z/mmcP9PHW4j83d2QqJvb3O3t6BydsGg9dNa+DEZp02j9cpzbWs7Aj+f3+ys4u3z2pKeETjp8qUKrb+Tti3LtiefCw0TUl2PDI8MzjxLyEVziF/5FpYf0eyYxIZza/+xzkcnoQds5iqThLUNxjnXQgvfRlMmTrwPnd4di1895vOB9+T5s7b0poGJCVje6RfyoSG4n2GzYwlkVV9blYjWhEZpM+dDz7TPiCRsrS5hvfPaeZFE+qGTKQAtNakOHNCHZfNauJDc5v4s8n1HNdYQ0u4vwHT64xzJ9bxgbnNSqTkyfyGFFNqg//ju/f3sKGz/OO6fjOq2MNfz27POTO5cUhumqbCsa+E58JlrH/3XvjgY9AwMdlxiQxl/Trnxt8FJ2E1NXCKmltjZixcBAsXwaEOZ/cuaNsLu3fCgQPBPu3t8LX/cNY8CX/74epZ+UhK19YD0WRKcV97yfQUq7YHB9t/WNPHW07TYauIBPrc+ZunD/CrcCqOAa+YXM+LJtRiMfoWTKpN8eKJKV48MfjGMu2OQaznkNyYGae11HL3gV4Avr/jMJ9dPCHhUY2PKlOq1P4NsPb3wXb9BJh+UqLDkRzNfRFMWhRsH9gIN3800eGIDKmry/nKl9L0h184nHgyNLfooCSqpdVYdKxx5ouMV/+58eo/hwULs/ffdpNzzb+n6Y+5hKNIvm1LqDIFYFYrTGoMth/clGZnR2U0LBSR8Um786G17UcSKSngDdMbePHEunEnQVJmSqQU0GmttUcSED/a0UVPuryPc5RMqVLLvxL0TAGYezak1E+pLJjBSa+HmnA1hZXfgbU3JDsmkaj+fuc/v5Rm88bg+qRJsPSUZMdUDiZNMs45z3jJuUF/GYAH74NvX6uVfyRZm/ZnExjFrkwxM06YHpzUOHDDmvIvCReR8XF3/nHdQX62qwsITmYvndHASZqKUxZaa1Kc0BSceO7qTfPb3V0Jj2h8lEypQof3ZBvPpmqDZIqUj8bJcNyrs9d/fwV07EhsOCJH9Pc7X7/G+dMDwfXaWjjnPE1VieOYxcbLLsgmVG6+0bnlRiVTJDnr27K/f1Oaiv9ZPnFG9lD1+ie1qo9ItfvylsP817ZOIJja84bpDRzfpERKOTlrQt2R7Wu3Hi7rL42UTKlCD34ZesM+TbPPgLrmZMcj8c0+A6adGGwf3g3XX56tNBJJQudh56p/SXP3HcEfRDM49zyYOEmJlLjmzDVe9NLs9e9c5+HKPyLF93xb8MclZcWvTIEggTO7Ndh+erfz1E79sROpVv+zs5N/Xt9x5PolU+vVHLYMLWhIMStcovrRjj7uDXuolCMlU6rMoV3w0FeDbUvBgpclOx4ZGzM44S+gPjzAXHczPPAfyY5Jqtf2bc4nP5bm0YeD66lUkEiZPVeJlLE6ZrGxJEyY9vXBl7+QprtbCRUprv60s3F/8Hs3uTHoJZCEk2ZmD1d/9YSqU0Sq0d37evjQM+1Hrl8wqY7TWutGeISUKjPjJROz793Vmw6NsHdpUzKlytzzeegJE7pzzoTGScmOR8auvgVOemP2+u2fhI33JjceqU6PPOT8/UfSbNoQXK+rh/MvgnkLlEgZr9POgMnhkvVbNsNPf6BkihTX1nanN2xTMjmBKT4ZJ0w3asIj1t891Ud3nz4LItXkqUN9vPOp/fSGH/0zWms5Z6ISKeVsaXMNk8Nlku/c38MDB3oSHtHYKJlSRfY8DY9cG2ynamHh+cmOR8ZvyrGw8Lxg2/vhV2+Bg9uSHZNUB3fnlz9Lc9Vn0xwOv1CYMBFe+WqYOVuJlHyoqTFe8rJs/5Q/XO+seUInkVI8z+2N9ktJbhwNtcbx04K4cqALblyrRrQi1WJrdz9venwfB8LV7Y5vrOFVU+q14k6ZS5nxskhC7F/Wd5Rl7xQlU6qEO9z4d5AOq2MXvAwayntZbwktuhAmLw62O3bAz98EfeXdGFtKXHeX8x//7vzsh07m7968BfDK18CEiTq4yadJk4xTXxhsu8PXv5Kmu6v8DjakPD0Z6U8yPeHlzU+dlT1k/clKTfURqQb7etO88fF9bO0JYtHs+hSvn96Q2JRDya9TW2qZGlanPNDey+/3dic8oviUTKkSq74H6+8IthsmqVdKJbEULL00eF8Btv4Jrn+3GtJKYezf53zmH9M8cE/2hP7UFwY9UurqdHBTCCecBNOmB9vbt8JPf6RkihRHNJkyI+FkypwJMC1smL9qe5pV21SdIlLJDvU7b35yP2sOB5/1ybXGW2Y0Up/SsUalSJlx4eT6I9f/77qDHO4vr2McJVOqwL7n4eb/k72+5BKo0TTDilLfAqe+DVLh+/rkL+Dmj0IZVstJCdu6xfnkR9M8uza4XlsLL78ATj7VVG5bQKlUsLrPkek+v3We0nQfKYInwmRKXU3QgDZJZsbpc7KHrd95RNUpIpWqs99525P7eag9WOWlOQVvm9FIS42ONSrNCU01LGoIYvvG7jSf39gxyiNKi5IpFa6vC371NugOm1/PeiFMOyHZMUlhtM6Gk98MhH9n/vSfcOenlVCR/Fi7Jkik7NwRXG9qhle8CubO14FNMUycZLzg9GDbHb56dZpDh/ThlsLZ3eHsOBj8js1soSQSpifMMJrCLw1uWtt/ZNlmEakch/udtz+1n7v2Bw1JGwzeNrORKXU6ba1EZsarpjZQE17/2pbD3Le/fJrR6reygrnDDe+HbeFypY1T4PjXJjsmKaxpJ8CJf5G9fu/n4bZPKKEi4/PQcuefP5mm42BwfdJk+LNXw+QpyZ9cVZMlJ8L0GcH2rp3wX1/1smzWJuXhwU3ZaTSzJ5TGZ702ZZwxNzh0deCr9/cmOyARyasDfWne9MQ+bt8XnEzXG7xlZiOz6mtGeaSUs2l1Kc6bHGTKHbji6QPs7imPZLmSKRXKHW79B3jsR8H1VC2c8haobUh2XFJ4s88YmDR74Evwu8uhr/x6OkkJ+OPv0nzx/6XpCX9/Zs4OKlKam0vj5KqapFLGS86FuvCb+Qfucf5wvZIpUhgPbMwmUxZMLp3P+wtmG021wfYfnu7nse3qnSJSCTZ39fOqVfu4/0CQJK03eOvMRuY3KJFSDV4yoY6F4XSfbT1p3vHUfrrSpX+Mo2RKBfI03PJxePDq7G0nvSmYBiLVYd6LYcnrstdX/xB+cBG0b0luTFJe+vqcb12b5jvXOenwy4GFi+C8C9VoNkktrcaLzsle/8G3neX3l/7BhpSXtDv3bgg++DUpmFMilSkA9TXGixZkD18/e1sv/WVwwC0iw7tnfw8XrGzjqcNBL6SmFLxDiZSqkjLj9dMbaA374ixv7+VdT+2nu8Tju5IpFaa7HX7xZlh+Tfa2JX8OM5YmNyZJxtyz4eS/CqqSALY8CP91Gjz+M037kZG17XU++8k0y27I/qKcdAq85FyoUfO3xM1fYCw9NdhOp+Gaf0+PKaHS3+/s2OY8vtp5eLnz6CPO8885nZ0KENXuT5vT7OwIfg8WTDJqS2z1jFNnGVObgu3HdqT59sNqRitSjrrTzmfXH+TPH9vH7t4ggTul1njXrCbmKJFSdVprUrx5RgOZ7+yWtfXw1if3095XulN+apMegOTP87fDDX8D+9eHNxic8Ocw58xEhyUJmnEyNE4OVvfpPgBd++A374DV34dX/QfMPDXpEUqpWX6/c91X07SHTatTKTjrxbD4uNI6map2p54Ghw/BxvXQ1wdf+nyaS99mvPltRn390O+Vu7NxAzz6sPPYKueZp6Gr8+j9zIIqpNPPNF5yrnHCScEUI6kev3o8m5w4cUbpvfc1KeOi42r49RPBFJ8v39fL6XNTvGSBTr5EysXtbd38w7qDPNOZnaq3uLGG109roElf3FStOfU1vHlGI7/c3UWfw+37gqqlHyydxGmtpbccbVVUppjZh8xsvZl1mdkKMztvlP0vCPfrMrPnzewDxRrrWGx/FP7nDfCjV2YTKbWNcOrblUgRmDAXzvrbILGSse6WoErll2+BzQ+oUmUolR43Btu+zfn3z/XzxX/NJlKamuGii5VIKUVmwXLJxywOrrvDr37mfPhv0vzip2keX+1sWO+secK59aY0X78mzfvfleajH0rz4+85j60cOpGSea6N6+F3v3b+6WNpPvTeND/9YZrt2xQoclHusWPDvjR/WBOc3DTUwLEl2mh67kTjrHnB2PrS8IHfdqt/ipStco8buUq7c1tbN69b3cYbnth/JJGSAi6YVMdbZiiRIrCosYa3zWikMcxUPNfZzwUr2/in5w/S1ltaVSoVX5liZm8FvgJ8CLgf+FtgmZmd7O6bhth/MXAj8C3gMuBlwLVmttvdf120gY+ifSus/T08/uPgZDhq0jFw0huCigQRgLqmYMrP7jWw7uagSgWHp34ZXKYvDRoUn/DnQQPbVJV/uVepcWMwd+e5Z+DGG5x778z2RgGYNx/Ofgk0NOqgplSlUsaLz3EmToInVgdJkD274H9+5AT98EfW1ARTp0HrBKirD6YMHT4E+/cFl4xdO4NEza9+5py4FM67MKhYmTZdvxuDlXvs6O13PnlTD/3hr88Z81LUlvCJzUsXpth9KM2m/c7Bbnjnz7v57CvredMpNSWxlHO1SLvz3B5n5fY0T+9Ks+VAmv1dwX2TGmHexBQnzTBeOKeGE2cYNap0G6Dc48Zo0u48caiPP+zp5ue7uni+a2DSc259itdObWBmfVV8xy85WtBYw+Wzmvjtnm529qbp82DZ5O9t7+Sdsxp5+6wmzmytTTzWV3wyBfgo8B13/3Z4/UozezXwQeCTQ+z/AWCTu18ZXl9jZmcDHwdyDlBmNj+H3WaOtkPPoaBp6P4NsOdp2Lk66H2x5+mj962fAIsvglmnB2XaIoPNWApTjw+Wy978APQeCm7fswbu/pfg0jApaGA7+4ygmmXqcTBpYdDAuKY+2fEXUVnHjeH09zu7d8H6dbDmSWfFw872rQP3aWyE08+CBceQ+B8oGZ2ZsfQUmDPXeXwVbN82/L41NTBjJsyZB7PnBEmU4d7j7u7gd2PTBti5I1u9tnYNrF3jfPu/nEXHwqmnGSecCMcsNmbPgbphphhVkbKNHdva03zyph4e3hJkVVvr4YVzSvv9TJlxyYkpbljTz9Z26OyFTyzr4ccrU1x2Ri3nL6phRmtp/wzlqL3LeXp3msd2pFmxJc3DW/qPJE+GlsnU9zKhAc6en+LseTWcNifFSTNSTGmq+veobONGlLuzv8/Z0t3P8539PH24j5UdffypvYc9vUcn+KfUGudNqufkZiU/ZWhT6lK8e3YjD7T38uCBXvqBjn7nm9s6+ea2TubUpzh/cj1nTajj5OZajm2qYU5Ditoi/j5VdDLFzOqBs4B/H3TXLcC5wzzsnPD+qJuBK8yszt17c3z5zbmOc82aNUPefsen4NlluT2HpWD6fHjy+eAiMhpfCPvWQV/PoDsOwPpbgVuPfsyEOUGvleknHn1f5Pe4Mb8jLa5yjxudnc5dtzu33zS2KRlzJ8KTTwUXKT91TdC2B/oH9eNsnQgtLXCoC55bF1xyVd8EO7cfffuqlcFlNBMnw1+9LcXSU48+uKmUuAHlHTvcnb/9bTc7D2bjRkszLLunPE5wLA3de7Njf2QLPPJIggOSYXUDN62Dm3LY9/Un1/KmU2uZPESypVJiRznHDYC23n7+feMhHmjP9SUDLSljRkOKtQZrYz1SqtXcfmdD98ApPluAn4aXqJdPqufzx7ZSM0RSJd+xo6KTKcB0oAbYOej2ncBwCwXPHmb/2vD5hjikHJ/LLrts/E+SBoaOcyL5sx3+4x2j7rUIeGC0nUpY9cSNoTxYmKeV6va70b8YWER5xw2osNixJd8vLBLTN8LLKBZR3rGjouJGrjqBPXl9RpGsYb4THmwReYgdlZ5MyRj8Fa0Ncdto+w91+0gW5LDPZOA0YAMwYoFkCZoJZA6PXwvsSnAs5ayS/h8bCQLTzQmPI19KOW5cAHw9vF7OvzeV8PtfCT8DJPdzVFrcgNKOHeV6zJFRKZ+3kVTDzwjj/zkrLXYobmRV6megEn+ucvyZ8ho7Kj2Zsgfo5+jM7kyOzuhm7Bhm/z5gb64v7O65fKmzBXgi1+csJYPmWT6R488rg1Tg/2M5fzuUUfJxw8z2k02mlO3vTSX8/lfCzwCJ/xyVEDegDGIHZXrMkVEpn7eRVMPPCHn7OSshdihuDFKpn4FK/LnK+GfKW+yo6LbJ7t4DrAAuHnTXxQz/n/jgEPu/CngkxhxEESlTihsiMhaKHSISl+KGSHmr6GRK6BrgfWb2XjNbamZfBhYC1wGY2VVm9sPI/tcBx5jZNeH+7wWuAK4u+shFJCmKGyIyFoodIhKX4oZImar0aT64+8/NbBrwGWAOQanaJe6+MdxlDkHAyuy/3swuAb4M/B2wDfhIKa7bLiKFobghImOh2CEicSluiJQvcx/b8plS3cI5cpkl1RaU0Ry5kqL/RxmLSvm9qYSfoxJ+Bqicn0MqWzX8nlbDzwjV83NKfJX6u1GJP1cl/kxxVcM0HxERERERERGRvFEyRUREREREREQkBiVTRERERERERERiUM8UEREREREREZEYVJkiIiIiIiIiIhKDkikiIiIiIiIiIjEomSIiIiIiIiIiEoOSKSIiIiIiIiIiMSiZIiIiIiIiIiISg5IpIiIiIiIiIiIxKJkiIiIiIiIiIhKDkikiIiIiIiIiIjEomSIiIiIiIiIiEoOSKSIiIiIiIiIiMSiZImNmZh8ys/Vm1mVmK8zsvKTHVG7M7Hwzu8HMtpmZm9kbkh6TlI64nzEzuyDcr8vMnjezDxRrrCOMKeefwcwuDD8Hgy8nFXPMQ4wr9ue01N6LuD9Dqb4XUp3M7JNm9rCZHTSzXWZ2vZmdmPS4Cin8md3MvpL0WPLNzOaZ2Y/NbK+ZHTazVWZ2VtLjktJRaecYlXa8X40xeThKpsiYmNlbga8AnwfOAO4FlpnZwiTHVYZagNXAh5MeiJSWuJ8xM1sM3Bjudwbwb8BXzezSogx46DGNNU6cCMyJXJ4t4DBzEetzWorvBWOPNaX2Xkh1ugD4BvBS4GKgFrjFzFoSHVWBmNmLgPcDjyU9lnwzsynA/UAv8FrgZOBjwP4EhyUlpELPMSrteL+qYvJIzN2THoOUITP7E/Cou38wctsa4Hp3/2RyIytfZubAG939+qTHIsmL+xkzsy8Af+nuSyO3XQe80N3PKcaYhxhT3J/hQuBOYIq77y/SMGPJ5XNaiu9FVI4/w4WU+Hsh1cvMZgC7gAvc/Z6kx5NPZtYKPAp8CPgUsMrdr0x0UHlkZv8OvMzdy7rSQAqn0s8xKvF4v5Jj8mhUmSKxmVk9cBZwy6C7bgHOLf6IRCrLGD9j5wyx/83A2WZWl98Rjm6ccWKlmW03s9vN7KKCDLCwSuq9GKdyfy+kMk0K/21LdBSF8Q3gj+5+W9IDKZC/BB4xs1+G0wNWmtnfJD0oKQ06xyhblRyTR6RkiozFdKAG2Dno9p3A7OIPR6TijOUzNnuY/WvD5yu2sfwM2wlK2y8F3gSsBW43s/MLNcgCKbX3Yiwq5b2QCmNmBlwD3OfuTyQ9nnwys7cBZwJl/+37CI4FPkgwZfDVwHUE0yDfleiopFToHKPMVHJMzkVt0gOQsjZ4jpgNcZuIjF3cz9hQ+w91ezHl/DO4+1qCk/aMB81sAfBxoNzKRkvxvchZhb0XUlm+DpwGvDzpgeRT+Pn6T+BV7t6V9HgKKAU84u7/FF5faWanECRYfpjcsKTE6ByjfFRkTM6VKlNkLPYA/RydIZ7J0ZlkEYlvLJ+xHcPs3wfszevocpOvOLEcWJKvQRVJqb0X+VKO74VUEDP7GsE0kYvcfUvS48mzswjixAoz6zOzPoImjx8Jr9ckO7y82Q48Nei2NUA5NxeV/NE5Rhmp8JicEyVTJDZ37wFWEHRvjroYeKD4IxKpLGP8jD04xP6vIvgGsDe/IxxdHuPEGQQH3+WkpN6LPCrH90IqgAW+TjDl7BXuvj7pMRXA7cALgNMjl0eAnwCnu3t/UgPLs/sJVgmLOgHYmMBYpMToHKM8VElMzomm+chYXQP8yMweIThxeD/BtwrXJTqqMhN27T8+ctNiMzsdaHP3TcmMSkrEiJ8xM7sKmOfumXnm1wEfNrNrgG8RNEG9Anh7sQceEetnMLMrgQ3Ak0A9cBlBz44klxQe9XNaDu9F3J+hVN8LqVrfAN4BvB44aGaZb60PuHtncsPKH3c/CAzoN2Bmh4C9FdaH4MvAA2b2T8AvgBcT/G14f6KjklJScecYFXi8X/ExOVdKpsiYuPvPzWwa8BlgDsEBwCXurm8W4jmbYPnRjGvCf38AXF700UjJyOEzNodIWbS7rzezSwgOVP8O2AZ8xN1/XdyRZ8X9GQhO2q8G5gGdBCfyr3P3G4s36iGN9jkt+feCmD8DpfteSHXKLJF616Db3wN8v6gjkXFx94fN7I3AVQR/G9YDV7r7T5IdmZSKCj3HqLTjfcXkkLmrl4+IiIiIiIiISK7UM0VEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkWkjJnZ+WZ2g5ltMzM3szcU8bU/Gb7mV4r1miIyfoobIjIWxY4dZvbZ8HWilx2FfE0Rya9KjxtKpoiUtxZgNfDhYr6omb0IeD/wWDFfV0TyQnFDRMYiidjxJDAncnlBEV9bRMavouOGkilSkcxsg5ldmfQ4Cs3dl7n7p9z9N0Pdb2b1ZvZFM9tqZofM7E9mduF4XtPMWoGfAH8D7BvPc4mUmmqIHYobIvlVDXEDkokdQJ+774hcdo/z+URKRjXEjkqPG0qmSGxm9v1I2VSfmW0ys/8ysylmduEQpVWDLxtGuf+uYV73s4Ned4+Z3WNmV5pZw6DdXwT8d44/TyUHsu8BLwPeBpwG/BK4ycyWjOM5vwH80d1vy8P4pIoodpQNxQ0pGYobZaUQsWOJBdMD1pvZ/5jZsfkYqFQ+xY6yUdZxo7ZQTywV7ybgPQS/QycD3wUmA+8mKKfK+E9gYrhvRh3QG26fC/waOBFoD2/rGeF1nwReSZAInAZcCHwK+Gszu9DdDwLomwsws+OAtwPz3X1bePPVZvYagvfjn8bwnG8DziQI/iJjodhRwhQ3pEQpbpS4QsQO4E/Au4BngFkE//cPmNkp7r43D8OWyqfYUcIqIW6oMkXGqjssm9ri7rcAPwde5e490bIqoDOyb+ayOXJ/W/h8uyL3tw33omTLtra5++Pu/jXgAuBU4BOZnQZnb8Ms8SYz6w4zlV8Nb78LOAb4ciaLHN4+zcx+ZmZbzOywmT1uZm+PDsTM7jKzr1pQmtZmZjvM7LOD9plsZv9tZjvNrMvMnjCzP4/cf26Yre40s83h87XEeieGdyZgwDNm1pG5hP9fx4WvvyiHzPzXw30XEPyxuczdu/I0Rqk+ih2lHTsUN6QUKW6UdtyAPMcOODI94Nfh//1twOvCu96dpzFL5VPsKO3YUfZxQ5UpMm4WlE69hmz2tqjc/WkzWwa8iSD7OICZvRn4PwTlY08Cs4EXhne/iaAp0n8D34o8rBFYAXyBIAP9OuBHZva8u/8pst+7gWuAlwDnAN83s/vd/VYzSwHLgAnAZcA6gqx4fziuFwA3A58GrgBmAF8PL9HM+Filwtc6K/OaER3hv1uBpaM8T6a/wVnATGCFmWXuqwHON7MPAw3uPvh1RIal2FGSsUNxQ0qa4kZJxg3If+w4irsfMrPHgfGU/0uVUuwoydhR9nFDyRQZqz8PM4c1BB9kgI8mOJ6ngVcNc99CYAdwm7v3ApuAhwDcvc3M+oGDYeaZ8PatwNWR5/iaBSVnf0VQPpbxmLv/S7j9bHhy8GfArQTlfS8Glrr7M+E+z0ce+/fAT939K5HHfwS428w+mIdvcVcSvD8z3f3eoXYI/z+ezvH5bufobtjfCx//BZ0QSY4UOwKlGjsUN6QUKW4ESjVuQP5jx1Es6DexFBjy+UWGoNgRKNXYUfZxQ8kUGas7gQ8CzcD7gBOAryU4HgN8mPt+CVwJPG9mNwE3Aje4e9+wT2ZWA/wj8FZgHtAQXg4N2nXwEp/bCb6FBTgd2BIJTIOdBRxvZu8c9HOkgMXAmuHGFxlnK3B85KbFZnY60Obuz5jZT4AfmtnHCALWdOAVwOPufuNozx/lwfzOJwa9/iFgr7s/MfSjRI6i2BFILHYobkgZUtwIVM0xR/h6VwM3EJxUziT4Nn8i8IO4zyVVS7EjUBXHHOHrFTVuqGeKjNUhd3/O3R9z948QfHD/OcHxLAXWD3WHu28maBj1dwRzIq8F7jGzuhGe72MEpXZfJPhAn05Q4lY/aL/BpYJO9nPVOcqYU8A3w+fOXF5IUIa2bpTHZpxNEHhWhtevCbc/F15/D/BD4D+AtcDvCUr8Nuf4/CL5ptgRSDJ2KG5IuVHcCFTbMcd84Gfhc/2GoOHnS9194xifT6qPYkegmo45iho3VJki+fIvwDIz+y/PdmMuCjM7iWAO5FXD7ePunQQfzt+b2TcIysVeADxK8CGrGfSQ84DfufuPw9dIEQSNUb+5iXgMmG9mJwyT7X0UOMXdn4vxnAO4+10E2eHh7u8l+KNRkD8c7n5hIZ5Xqopix9EKGjsUN6QCKG4creKOOdz9bfl4HpEIxY6jVdQxR7HjhipTJC/CD8qTjG0JqzhqzWy2mc01sxeY2f8C7gZWAV8a6gFmdrmZXWFmp4bNp/6aIAubyVBuIGiGOM/Mpoe3PQdcbEH36qUEGdnZcQbq7ncD9wC/NrOLzWyxmb02nMsIQbOoc8zsG2Z2upktMbO/NLMkyw9Fikqx42iKHSIjU9w4muKGyOgUO46m2DE+SqZIPl0D/I0FS2EWyikE8/w2AXcBbyHI8J7n7h3DPGY/8DfA/QTZ1z8D/sKza41/BlhEUKqWWe/9/xFkYm8OX2cHcP0Yxnsp8DBBudlTBGV4NQDu/hjB0l9LCJoirQxfd/sYXkeknCl2HE2xQ2RkihtHU9wQGZ1ix9EUO8bI3IfrgSMiIiIiIiIiIoOpMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVEREREREREJAYlU0REREREREREYlAyRUREREREREQkBiVTRERERERERERiUDJFRERERERERCQGJVNERERERERERGJQMkVKgpmdbmZ/NLNNZtZpZm1m9qCZXRbzea4xMzezPwxz/6Lwfjeztw1x/2fD+6ab2YWRfUe8jPXnFpH8MrP3hZ/LjpiPU+wQqRJm9goz+66ZPW1mh8xsq5n9zszOivk8ihsiVWA8MSPyOU+b2bFD3N9iZu3hPt+P3L5olFjw2ci+3x903yEz22Bmvzez95hZQ77+L2Sg2qQHIBKaDGwGfgZsBVqAdwI/MrNF7v6voz2BmdUBmeTLa8xsnrtvHeEhnzezX7t77zD3PwqcM+i23wLrgI+PNh4RKS4zmwdcDWwDJsV4nGKHSHX5IDAN+E/gKWAG8DFguZm92t3vGO0JFDdEqsq4YwbQAbwH+PSg2/8KqAOGiw1fA346xO1bBl3vBF4RbjcBC4DXAt8CPmZmr3H3wY+RcVIyRUqCu98F3DXo5j+Y2WLg/cCoyRTg9QTB7Y/A64B3A/82zL7LCALMBwiC1FBjageWR28zs25gv7svH+oxIpKo64B7gDbgzTEep9ghUl3+zt13RW8ws5uA54B/AnI5MVLcEKke+YgZPwfebWb/7O7pyO1XECRO/3KYx23KMQakh9jvh2b2PeAPwK+Al+bwPBKDpvlIqdsD9OW47xVAD0HWdzPwHjOzYfa9A7gZ+LSZTRj3KEUkURZMCbwA+NAYHq7YIVJFBp8Uhbd1EHzjvCDHp1HcEKkSeYoZ3w33vThzg5mdALw8vK8g3P0WguqUl5jZ+YV6nWqlZIqUFDNLmVmtmc0wsw8Brwa+kMPj5gOvAn7n7ruBHwDHAyMFjU8A04G/H//IRSQpZjYT+Arwj3FLWBU7RATAzCYBZwJP5rCv4oZIlYsTM0LPAvcC743c9l5gA3D7CI/LnBsNuMQc7u/Df5VMyTMlU6TUXEswZ3AX8GXgI+7+zRwe9x6C3+fvhNe/CzjBN0dDcvfVBHMQP2pms8czaBFJ1LXAWuC/xvBYxQ4RAfgGQb+2z+ewr+KGiMSJGRnfBV5vZlPNrAZ4F/B9dx+psfQXCM6NBlzM7OUxXndj+O/cGI+RHCiZIqXm34AXEcw//i7wdTMbsfFaWFabKbO9FcDd1xP0YLnUzCaO8PBPETR9+udxj1xEis7MLgX+AvibUQ5GhnqsYoeIYGb/j6Dp/f9x9xWj7Ku4IVLl4sSMQX5JMD3wncAlwGzg+6M85j8Jzo0GX1bFGXKMfSUGJVOkpLj7Jnd/xN1vdPcPAv8NXGVmM0Z42CuAxQQBaqKZTTazycAvgGbg7SO83gaCb7XfZ2ZL8vRjiEgRmFkrwTdDXwO2RT779eH9k82sZYSnUOwQqXJm9s8ESY7/6+5fz+EhihsiVWwMMeMIdz9E0Ij2vQSVbLe5+8aRH8WW8Nxo8KUjxksfE/67Lc54ZXRKpkipe4hg1amj1mWPyJTVfhTYF7n816D7h/OvwGGG78IvIqVpOjCLYHnC6Gf/7QSlt/uAn4zweMUOkSoWnhR9Fvisu+f6OVbcEKlSY4wZg30XOJ2gqrZgjWcHyawUdFeRXq9qaGlkKXUXAWng+aHuNLMpwBuB+wmyxIO9D3inmZ3q7k8M9RzuvtfMvkAw53Gkb7FFpLTsIIgRg/0jwco+ryVYEewoih0i1c3MPk1wUvSv7v4vOT5GcUOkSo0lZgzF3R80s+8CkwiWRC4oM7uYIDY94O73Ffr1qo2SKSUgXKbq74GzgDnAG939+hiPXwSsH+Ku17r7TfkYY6GZ2X8D7QSVKDsJvnH+K+CtwJfCbvmY2XeAdwPHhWVx7wQaga+6+11DPO/ecJ8rgP8zwhC+AvwdwcmXSFmo9tjh7l0M8S2LmV0O9EdjgmKHSGC8cWPQcx0PrCT4vE3O1xgLzcw+BnwOuAn4o5m9NHq/uy8P91PcEAlVc+wYR8wYkruPVsEWtXDw64V2u/u6yPVUZL8GYCFBjHkLsCb8V/JM03xKQwuwGvjwOJ/nlQTBLXO5Y5zPV0wPAi8m6H9wG/BtgqZMf+3u/xDZrya8ZBopXUGw8s/1Qz2puz8OLAcuM7P64V7c3Q8TZJtFyoliR+4UO/4/e3ceJ8td1/v/9anunuXMnH3JOTnZSSBhzYYCQogoq1dWFVAuBlEERG5EvPzwouKKcrkBFRBZlM0FFAURAoGQEAgJkH072c+as29zZu+lPr8/qnqmps9sPdPV1cv7yaPJTHd19bfPzHy66lOf7+crEmlI3DCzAvAvREt9tpufj//7IqLjj9pbleKGyLRujh1LjRmN8NtzvGZtdUx/4rGriaYUDgK/AVzi7o81cEwSszoXP5CUmZlTk+mNP5D/jOhqxxrgHuBd1asiiavLF7n7HU0dsIi0BMUOEanXUuJGYru/Ilpm81rgQ+1wdVlEGkOxQySiypT28I/ATwGvAZ5K1EH+G7N0gv8vMztoZjea2S80e5Ai0nIUO0SkXgvGDTN7HtFU3N/KZIQi0ooUO6TrKJnS4szscUQrU/yiu3/P3R9x9w8A3wfeEG82QtRV/heI1iy/FviCmb0uizGLSPYUO0SkXouJG2a2Hvg0cIW7n8hssCLSMhQ7pFupAW3ru5ho3t2DZjOm3/UCRwDc/TDwwcRjt8Qd5/838PkmjVNEWotih4jUa8G4AXwC+Gd3v6HJYxOR1qXYIV1JyZTWFwAVos7ZlZrHRuZ53s1Ey2CJSHdS7BCRei0mbjwPeKmZvTP+3ohWkSgDb3L3f2jKSEWklSh2SFdSMqX13U7UFXqTu9fT9foiYF86QxKRNqDYISL1WkzceGa8TdXLgHcBzwK0WoRId1LskK6kZEoLMLNB4NzEXWeb2YXAUXd/0Mz+CfhsvMb57cAGouzu3e7+dTP7VaAUPxYSLd/1dqIAJSIdSrFDROq13Ljh7ttq9ncpELr7Pc15ByKSBcUOkZMpmdIaLgWuS3x/VfzfzwBXEDVueg/w/4CtRHMPbwK+nnjOe4AziUrrHgR+zd3V80Cksyl2iEi9GhE3RKT7KHaI1DB3z3oMIiIiIiIiIiJtQ0sji4iIiIiIiIjUQckUEREREREREZE6KJkiIiIiIiIiIlIHJVNEREREREREROqgZIqIiIiIiIiISB2UTBERERERERERqUM+6wF0MzNbD7wQ2AFMZDsakWXrA84CvunuRzIeS8dS3JAOo7jRJIod0mEUO5pAcUM6UENjh5Ip2Xoh8E9ZD0KkwX4F+OesB9HBFDekEylupE+xQzqRYke6FDekUzUkdiiZkq0dAJ///Oe54IILMh6KyPJs27aN173udRD/XktqdoDihnQGxY2m2gGKHdIZFDuaZgcobkjnaHTsUDIlWxMAF1xwARdffHHWYxFpFJWBpktxQzqR4kb6FDukEyl2pEtxQzpVQ2KHGtCKiIiIiIiIiNRByRQRERERERERkToomSIiIiIiIiIiUgclU0RERERERERE6qBkikiNsjsnwgqhe9ZDEZElCN0peiXrYYhIHUIPcX3uisgihF5RvJCWoNV8RGL3FMf57Ohhflwco4gzYAGX9Q7yhoENbM33ZD08EVmAu3OtP8Y3fTcjlDiTQX4leDyn22DWQxOROUx6kevCH7KTvZzBFl4Q/BQ5y2U9LBFpUYcntvHQ0NcZyJ/C49f8PH251VkPSbqYKlOk64XufHzkEL95bCc3FkcpEmW6Rz3k6okT/OrR7Vw3cSLjUYrIQv7Ld/Alf5QRSgDsZIT/F97JXh/NeGQiMpcb/TZ28BiOs5O93Ox3Zj0kEWlRk5VhHjlxDU7ISHkfDxz/iipUJFNKpkhXc3c+MHyAz4wembpvhQWcGhTowQAYd+cPh/ZyrRIqIi3rQT/ON3z31Pf5+O93kgqfCrdR0cGWtCAzy5vZn5nZdjMbN7NHzewPzawrjs9O+AgP+c4Z993nj1D0UkYjEpFWdmD8TipenPp+tHyAscrhDEck3a4rPqxF5vLp0SN8Zfw4AAZcWljBL/Wv4UX9q/ilFWt4XC6a3hMCfza0j/tLE5mNVURmF7rzxfCRqe/PZw0/w1ZWUgBgL2Pc7PuzGp7IfN4FvBl4G3AB8L+B3wN+O8tBNcsjvhtnZqKzQoUdviejEYlIKxsq7jzpvqMTD2UwEpGIkinStX44OconR6ez2Zf1DvLUnn4Ci65o98Q9U87L9wJQxHnv0F4mPMxkvCIyuzs5wmNEU3lW08M5rCRvAU9m7dQ21/geNZWWVvRM4Cvu/jV33+Hu/w5cA1xaz07M7LSFbsCmNN7AcuxJJDnP5NSprx9VMkVEalTCIiOlKGZY4hT2eHF7VkMSUTJFutOJsMKfn9g39f0lhRU8Lk6aJJkZz+oZYEMQNcPbXSny6ZEjJ20nItm5Lnxs6uvHsxqLE6LrrI/1RH/XBxnnfo5lMj6ReXwf+BkzezyAmT0NeDbw9Tr3s3sRt6sbNOaGKHuZ/RwCoIcC61lDjuizdj+H1QdBRGYYLj2GE13QXJHfSM6iz/fR8iHFC8mMkinSlT4yfJAjYRmArbkCTy30zbltzozLeldO/bH8y9gR9pSLc24vIs2z38d4iCEABsizkZl/y2eycurrm/xAU8cmsgh/BfwLcL+ZlYDbgQ+5+79kO6z0HeQolfjEaCUDmBkD9AMwwSQnGMlyeCLSYsbK09XkPcFKCsEAAKGXmKgcz2hU0u2UTJGuc09xnP+eiE6+ChjP7hmYupI9lzVBjqcUooO8MvDxkUNpD1NEFuGHiQTJGQye9Ld8Cv0U4o+6u/0IRa80dXwiC3g18Drgl4GLgV8F3mlmv1rnfk5fxO3FDRpzQxz26UqxahJlkBVT9+13NZUUkWlj5enK8EKwgkIwHS9GywezGJKIkinSXUJ3Pjg8ffJ1SU8/A/EUnoU8tdBPX7xCyLWTwzxankxljCKyOO7OrT6d2NzKwEnbBGZsjk/UJgm5h6NNG5/IIvxf4C/d/V/d/W53/xzwQeDd9ezE3fcsdANa6mzjcGLa3Yr4b7SaVAE4pL9VEUkYr0wnU/JBPz3B9Gf+mJIpkhElU6SrfGviBPeXoxV51lqO8/NzT++pVTDjqT3TB3qfHVXvFJEs7WGUQ0R/z+vppddmT4xuTlztvsd1giYtZQVQ29W8Qhccnx3x41Nf98e9jfoT0/SO+VCzhyQiLcrdpypTctZLYDnyicqU8bJ6okk2Ov7DWqSq5M4nRqbLhn+id8XUyj2L9YR831R1yncmTnCgUmroGEVk8e7y6YTmlkTCpNZ6egniv9v7/Jga1Ukr+Srwf8zs58zsLDN7BfAO4D8zHleqKl7hWNzrqI9eAosORwuWJ08egKMomSIikVI4SsWjivB8EF3YzNv0whHqmSJZUTJFusZXx4+zL4ySH6cGBbbmeureR8GM8+NmtRXgS2PKhItk5e5ElcmmxPSAWjkLplb1GaI4tYyySAv4beDfgY8C24APAH8P/EGWg0rbCUYJiZKa1aqUqur340wy7hNNH5uItJ5ksqRg0XG4WTC1oo+SKZIVJVOkK0x6yGcS03Iu7Zn7KvZCzs/3Tf3hfG18iKLXVmiLSNpOeJGdDAOwigL9lp93++QqPw9q+oC0CHcfdvcr3f1Md+9398e5+3vcvaOXjBuK/3YhqkxJSiZXVJ0iIgCTlRNTX+eC6c/zfJxYqfgk5VDJV2k+JVOkK/zX+HEOx0shn5ErsCE3/4nXfFYEAWfGVS3HvcJ3J7R8o0izPZDot7BxnqqUqvWJZMpDieeKSPMd9+lkSi8zq0STyZXkdiLSvSYr04nV5PSefCKxouoUyYKSKdLxJj3kc6PT0wEuKiy9KqXqgsJ08P7viePL3p+I1Of+xEogG1i4kfRKClNLJD/EEKH6pohk5jjTV5lrK1OSyZUTKJkiIjAZJipTEsmUnPqmSMaUTJGO99XxIY7EVSln5npYv4yqlKpTgjyr4oZ5txbH2K9GtCJN4+7cH1eXBBhra07GZmNmrIu3G6XMAcbSHKKIzGPIk9N8ZlamJJMpQ67KTxGBiURlSi6YvTIlORVIpFnaOpliZpeZ2VfNbK+ZuZm9fIHtX2lm3zKzQ2Z2wsxuMrMX1mxzRbyv2tvi19CVllH0kM8neqVcWFh4OsBimBnn5qNg7sA1EwrgIs1ylEmOEnX1X0sPuUWuypVMujzq+psVycoJoiRJnhy5miXNeyhg8epb1e1EZCYze+8s5yr7sx5XWqqJEiMgYPqiaM6mk6/FUPFCmq+tkynAAHAn8LZFbn8Z8C3gJcAlwHXAV83soprtTgBbkjd3tZRvR18bH+JQoldKI6pSqh6Xnz4xu2Z8SMutijTJQ4kGsusXMcWnak3iivd2TR8QyUTFK4wyDpzcLwWiixU9FIAomaLPVpE53cvM85WnZDucdLj7VDIlZ71Y4gJKMpkyWdHnujRf484sM+DuVwNXAzP+sObZ/sqau37fzF4G/Dxw+8xNfVnZXTM7bRGbbVrOa8j8Su58bkZVyvJ7pSStDHJsCvIcDMtsrxR5pDzJuQUVMImk7SGOT329bhFTfKrW0IMRVZOpMkUkG8OJKXbVpEmtPnqYpEiZKPEySGM/v0U6RHk55yvtcq5S9gmcCjBzig/UVqYomSLN19bJlOUyswBYCRyteWjQzHYCOeAO4A/c/Xbqs3v5I5Tl+O/x4xyIq1JOX+YKPnM5J9/DwWL0Gt+ZHFYyRaQJHvFque/MapOF5CxgpRc4QYn9jDHhFfpqphiISLqGGZ36umeOv9/k/cOMKpkiMrvzzGwvMAn8EPh9d3+0jue3xblKcvpOzmYmYM0CAisQeomiKlMkA+0+zWe5fpdoqtAXE/fdD1wBvBR4LTAB3Ghm5zV9dLJkRQ9rqlIa0yul1lm56Qz5dyaGVY4skrIRL3EgniKwmh5yVt/H2Or4JM2BPerHINJ0wz6dTOmdozIlef9IYnsRmfJD4PXAC4HfADYDPzCz9ZmOKgWlSjKZcnICtnpfMRzFPWzauESgiytTzOy1wHuBl7n7wer97n4zcHNiuxuB24DfBt5ex0ucvohtnkw8TUka67/Gh2ZUpWzMzX7AtlwrgoDNQZ79YZndlSLbK0XOyS9+2oGI1OfRxJKqi1nFp9ZqetgdXxnf5SOca6sbNjYRWdjiKlMSyRStvCVykrjVQdXdZnYT8Ajwq8BVi9xNW5yrFMPpmDFXMqXEKOAUw1F6cyubODrpdl2ZTDGzVwOfAn7R3b8937buHprZj4G6KlPcfc8ixpH5PMRONO4hnxk9PPX9RQ3ulVLrzHwP++OpPjdMDHPOoJIpImlJ9jpZSjJlTeI5O9WEVqTpksmUuSpTksmUYSVTRBbk7qNmdjd1nK+0y7nKzGk+syVTehPbDiuZIk3VddN84oqUTwO/7O5fW8T2BlwI7Et3ZNIoXxg9ytEwalR1Vq4nlV4pSWfmpgP7DZM6OesEZvZuM/uxmQ2b2UEz+7KZPWERz3uumd1qZhNm9qiZvbkZ4+0m22ckUxbfL6VqkALVduV7XNN8RJpt1BduQDujZ4qm+YgsyMx6gQvowPOVYmKaTzBrMmU6jpQqihfSXG2dTDGzQTO70MwujO86O/7+jPjx95nZZxPbvxb4LFGvlJvNbHN8W53Y5o/M7IVmdk68308RJVM+1px3JctxpFLm82NRP2EDLulJv2ndYJBjfRA1sXygPMnBSin115TUPRf4CPAM4PlEVXzXmNnAXE8ws7OBrwPfAy4C/gL4GzN7VfrD7Q6hOzvjPid95Oiz+hOlOTMG4xO4/YxT0vxqkaaqTtvJkSOYo+dRnhwWpz1H0MmRSC0z+0B8AedsM/tJ4N+BVcBnMh5awy1cmZJc0UfxQpqr3af5XApcl/i+OkfwM0RNZLcAZyQe/02i9/yR+EbN9gBrgI8TNXIaIloy+TJ3/1FDRy6p+PuRQ4zHJ0dPyPeyOmjOSh2n53o4EkZNMW+cHOEVK9Y25XUlHe7+ouT3ZvYG4CBwCXDDHE97M7ArsQT7NjO7FHgn8KXFvG67LFOYlX2MMRkvj1jPKj61VlFgmBIhzj5GOQOVBIs0g7szGjeQ7pnnENTM6PECkxQZZgx3JyoUFpHYacC/ABuAQ0T9Hp/h7jszHVUK5lvNByBIVqYomSJN1tbJFHe/Hpjz09Xdr6j5/vJF7PN3gN9Z5tAkA3cVx/jaxBAAPRgXNaEqpeqMXA93lKIDxJuUTOlE1eq12mXUk54JXFNz3zeBN5pZwd0XU7LUFssUZmVHYorPmiX0S6laRQ+PxVfH9/goZ5iSKSLNMMEkIdEFj8IcU3yqeoiSKWXKFCnRu4wEqkincffXZD2GZimF0ed1QB6bpZpNlSmSpbae5iNSNekhf3li/9T3F/f001/nkqnLsT7I0R9fNbulOMakpg50jLhv0lXA9939nnk23QwcqLnvAFHSekNKw+sqOxNLGS+vMmX6uVoeWaR5kivzzNUvpaqQuN5XrWYRke5TqsTJlFmqUmrvryZeRJqlrStTRKo+PnKInZUiABuCHOfn+5r6+mbGabkeHipPMolze3GMZ/QONnUMkpoPA08Fnr2Ibb3me5vj/rm0xTKFWdnl0w2eVy0jmbIycRK313XgJdIsyaTIfNN8osen/05HGWMdWsZcpNtUwiIhUWHvbFN8au/XNB9pNiVTpO19f3KYfx07BkSlVs/pHSTIYG716bkCD5UnAbi5OKpkSgcws78FXkrUN2mhJQT3E1WnJG0CysCRxbxeuyxTmIWSh+yJG1EOkKewjMqzXsvR4wFFQvapuaVI04wkkpcLTfNJPj7q4/NM6haRTpWsNJmrMsUsICBPSFnTfKTpNM1H2tojpQn+eGh6Fbin96xgbZBNjnBLbnrJ1R9NKpi3M4t8GHgl8Dx3376Ip91EtPJP0guAWxbZL0XmsZdRKnGBz3Km+FRVq1NOUGLYi8ven4gsbLSOaT49M6b5qIJMpBslK01mW8mnqppoKVVGcV9sMbDI8imZIm1re3mSK4/vZizuT3JWrocnNnl6T1KvBWyMEzk7K0X2a4nkdvYR4HXALwPDiWXU+6sb1C69TrR8+plmdpWZXWBmvwa8EfhAU0feoXb5dG+T1Q1MpgA8puoUkaYYY2Lq68ICxdEzKlPUM0WkKy2mMgWmEy0hZSq6QCJNpGSKtKWbJkd4y9GdHA2jZVI3BHku6x3MfOnE03LTgV7VKW3tLUQr+FwP7EvcXp3YZsbS63H1ykuAy4E7gD8A3u7ui1oWWea3i+l+KY1JpkzvY7/6pog0xahPJ0UWSqYkK1NGXMkUkW5UTCRT5uqZAjMTLWU1oZUmUs8UaSv7KyU+NXKYr8dLIEO0ks4L+1aSzziRAnBqrsBt8RLJPy6O8tIVa7IdkCyJuy/4y1S79Hp833eBi9MYU7fbnahMWU7z2arBxFXvfZpCINIUY3GFiWHkyM27bV7TfES63uIrU5JNaMfpY22q4xKpUjJFWt6JsMLNkyN8Z3KYH0yOUEk8dkauwHN7V1JogUQKRBUyPRhFnFuLY4TumTTDFekkFQ+npuIMkCffgGXPBxMff/tUmSLSFNVkSoH8gpWkZkbB85QoTz1PRLpLsmfKfMmUwKY/07U8sjSTkinSkk6EFb41cYLrJoa5qzQ2I4EC0INxSc8Kzs/3Zj61JykwY3Muz65KiSGv8HB5kscXsuvjItIJ9jFGOW4+24gpPgA9lqPXAyYJVZki0gQVrzBB1MtgoSk+VQUKlCgzziShhwQNSKSKSPsohdOJ1MVO8ynpAok0kZIp0lJGwgqfHj3Cf4wdY5KTu3H3m/GEfB9PLPTR16IHVafmCuyKm8/eWhxVMkVkmRo9xadqkAKTTDISr+izcp6VAkRkeWY2n51/JZ/p7aYPU8eYYJAVDR+XiLSusi9lmo+SKdI8SqZIy7ijOMYfDe3lcFiecf8qCzg918MZ+R5OCfItP21mS6IJ7S3FMV47sD7D0Yi0v900diWfqkEKHGESgP2Mz2hKKyKNlVyRZ/GVKUqmiHSz6coUw+ZZNyVQMkUyomSKtIRrJ07wJ0N7qaZRcsDj8308odDLWsu11FSehayxHP1mjLtzZ2mcsntLNMcVaVczK1MWd0V7MZJNaA/4GOfZ6obtW0RmGlt2MkV9U0S6TTUxkrPCvOcCSqZIVpRMkczdNDnCHw/tneqLsiUo8JzeAQaD+Tv9tyozY3NQYHulyLiHPFCe4EmF/qyHJdKW3J09cfPZPnL0WOPiwoxkik7URFI15slpPktIpvg46LqESNdwd8pxZcp8U3xg5jSfcqjPc2me1mw6IV1jT7nIHyUSKefle3lh38q2TaRUJaf63F5UhlxkqY4wwUQcIRrZLwWilYGq9qthnUiqxqk/mdKTSHiOKuEp0lUqXsQJAQgWiBlGjmq2VZUp0kxKpkhmKu786Yl9jHoUKM/M9fBTPQMt3xNlMZLJlNuUTBFZsmpVCjR2ig9ElS65+ODrgFb0EUnV2BKSKbU9U0Ske5TDxTWfhagqvLo8spIp0kxKpkhm/nP8OPeUoitNKy3gst7BjkikQNQ0tz9+L3fFfVNEpH5preQD0cFXdarPYSYoxYldEWm88cQ0n/wSkinJ54tI55u5LPLCMaM61acUjuM67pYmUTJFMnEirPDJkUNT3z+nd5BChyRSYLpvCsC4hzxU1kGgyFLs8fQqU2B6qo8DhzWNQCQ1S2lAm1cDWpGuVfLpv/mFKlMAgvgYwakQeim1cYkkKZkimfj86BGG46vA5+Z72Zxr/ElS1pLv6Q5N9RFZkj3xssh5jBUp9EwfUBNakaaoTtPJs/gV+syMPLkZzxeR7lCqY5pPtM30MUIyESOSJiVTpOmOh2W+NHYMiJZAvrhDV7rZnJsO6neWFNRF6jXmZY4yCcBKelJZIn0wkaA5oIMvkVS4+1QD2sVWpVRVtx9jQqX7Il0kuSpPsIhpPoFW9JEMKJkiTfelsWNMEB0QPT7f1/Yr98xljeXojZtb3lUcJ9RBoEhdqlUpkM4UH5hZmXJQTWhFUlGkRCVelWOx/VKqqtuHhBRR6b5It5iZTKmzMkXJFGkSJVOkqYoe8p/jx4FoAbOnFPoyHU+azIxT4uqUIa+ws1LMeEQi7WVmv5TGNp+tGlBlimTMzLaa2efN7IiZjZnZHWZ2SdbjaqSlLIs82/aa6iPSPUqJptMLLY0M0w1oQSv6SPMomSJNdd3EMMfCCgBn5Xo6tiql6pRE35Q71TdFpC6PJZZFXplSZUreAnrjngwH1TNFmszM1gI3AiXgxcATgd8Fjmc4rIZbyrLIs22vJrQi3SO5NPJiVvNJVqZomo80S1snU8zsMjP7qpntNTM3s5cv4jnPNbNbzWzCzB41szfPss2rzOw+M5uM//uKVN5AF/rq+NDU1xd0cFVK1SnBdGC/W31TROryWGJZ5LSSKTBdnTJMiXEvp/Y6IrN4F7Db3d/g7j9y9x3ufq27P1LPTszstIVuwKZ03sLCxuPeR1D/NB8tjyyyMDN7d3wu9KGsx9Io5TBRmbKoaT6JyhRVmkqTtHUyBRgA7gTetpiNzexs4OvA94CLgL8A/sbMXpXY5pnAF4DPAU+L//tFM/vJxg69++wpF7m9FGWZV1swI9HQqdYH1XUI4C4lU0QWreLO3riHyQB58pbex1Vyqo+qU6TJXgrcYmb/ZmYHzex2M/uNJexn9yJuVzdozHVLJkHqrUzJa5qPyLzM7OnAm4C7sh5LI1X7nhgBtohjgORUoLKm+UiTtPXZrLtfTXxwsMhVHt4M7HL3K+Pvt5nZpcA7gS/F910JfMvd3xd//z4ze258/2sXO7b4KtBCMrtKlIVrJk5MfX1evi+VlTlaTc6MDUGeA2GZvZUShyolNnbgMtAijXaIcUpxw8q0+qVUzWhC6+OcaStTfT2RhHOAtwBXEV3g+QmiizyT7v7ZTEfWQMmeKdOXGBZnRmWKkikiM5jZIPBPwG8A76nzuS19rlKOq0sWs5JPtF2yZ4oujEhztHUyZQmeCVxTc983gTeaWcHdS/E2H5xlmyvrfK3dSxphh3L3GcmUx+XTPTlqJafkomQKwD2lcX5ayRSRBe1p0hQfUGWKZCoAbnH334+/v93MnkSUYKknmXL6IrZ5MhlVp8xMpqgBrUgDfQT4mrt/28zqSqbQwucq7j41zWcxU3yi7dQzRZqv25Ipm4EDNfcdIPp32ADsm2ebzamProM9WJ5kd7yazeYgz0CHN55N2hQUID4AvKc0zk/3rcp2QCJtINl8Nq1lkauUTJEM7QPuq7lvG/CqWbadk7vvWWgbM8vsCvNYg6b5qGeKyDQzew1wMfD0rMfSaBUv4nF16mJW8gEILIcR4ISUQsUKaY5uS6YAeM33Nsv9s21Te99CWvoqUbNdPzk89fU5+d4MR9J8m3JqQitSr+SyyCtTnuazIvFReEhN66S5bgSeUHPf44GdGYwlNTMb0NZ3MSW5vab5iETM7HTgr4EXuC85y9iy5yrJnieLneZT3bbiRcquninSHN2WTNnPyRUmm4AycGSBbWqrVebV6leJmsnduX5iOplyZhdN8QHos4DVFjDkIQ+UJpj0kN4Um2mKdIJqZUoeo7/Ok6965Sygz3NMUFFlijTbB4EfmNnvA18k6pnypvjWMapJkBwBQZ2ff2ZG3vOUKWuaj8i0S4jOT25N9CDMAZeZ2duAXnevzLeDVj5XKXl9K/lMbxsnU8IJ3L0r+jNKtrrtjO4m4Pk1972AaL5yaYFtfpDy2DrWrkqRXfEUn1OCPP1dmEjYFPdJKQMPlHQwKDKfUS9xLL6SvYqephwMVatTRikzOvVxIJIud/8x8AqiBvf3AH8AXOnu/5TpwBqsmkypt19KVSFOqI4ziXu9hcIiHela4CnAhYnbLUTNaC9cKJHS6pI9T+qqTImnBTshFS82fFwitdq6MiXuYH1u4q6zzexC4Ki77zKz9wFb3f318eMfA95mZlcBnyBqNvtGZq7S89fADWb2LuArwMuAnwWeneqb6WDfn5xuJNltVSlVm4I8D8Unh/eUxnlqz4qMRyTSupL9UtJuPls1QJ6j8d/oISZmrPAjkiZ3/2/gv7MeR1rKXqZE1IS93n4pVVESZpKQkCIlelOe+ifS6tx9mCgBO8XMRoEj7n7P7M9qH0tOpiSb0Po4ebqrtYA0X7uXCFwK3B7fIFpa8HbgT+LvtwBnVDd29+3AS4DLgTuIrgC93d2/lNjmB8BrgDcQrdd+BfBqd/9hem+js/0gkUw5PdedB0AbE31T7lHfFJF5JfulpL0sclUyeaK+KSKNM7NfylIrU7Sij0g3KS9jmk+VlkeWZmjryhR3v57pBrKzPX7FLPd9l6jz9Xz7/Xfg35c5PAGGw8pU09VVFrC6i1bxSVpjOQoYJZx7SprHKTKfZq7kU6UVfUTSsZzms1XJZMo4E6xFq+KJ1HL3y7MeQ6MkEyGLXc0HZiZeylrRR5qg3StTpMXdUhylOmnztC6tSgEIzNgYRB8GR8IyB8NyxiMSaV2PJSpTBpuUTJmxoo+SKSINk1yBZ3nTfE7en4h0pmQiZMnTfFSZIk2gZIqk6ofF6ZOi03Ld3YMgOdXnXk31EZlV6M7euDJlgDz5JjWsnrk8sk7WRBplPPH31JDKFP19inS85DSfXF3JlERliqbsShMomSKpcXd+NBmdFOWAzV2eTNkUqG9KuzCzy8zsq2a218zczF6+wPaXx9vV3s5v0pA7xkHGKRECzWs+C5C3gN74RO+wKlNEGmYiMc1n6ZUp00mY5LQhEelMS21Am0M9U6S5lEyR1OyplDgQT2c5JSiQ7/IeIcnKlPu0PHKrGwDuBN5W5/OeQNT4unp7qMHj6niPZdB8tqraN+UEJSZcU/FEGkENaEWkXqXENB+rq2eKpvlIc7V1A1ppbbckpvic2uVVKQB9FrDSAoY95IHSBCV3Cl2eYGpV7n41cDVQb6Pgg+5+fKmva2anLWKzTUvdfzvYw/TqX81qPlu1omZ55NMZbOrri3SiZI+TpSZT8prmI9JVqlN0AvJ1HYclp/mU1IBWmiDVyhQzOzvN/Utru7U4NvW1kimRahPaIs7DZQX55WjR+HK7me0zs2vN7KeX8Pzdi7hd3ajBtqJkZcrKjCpTQE1oZaYWjTdtYdyT03yW1jNl5jQffXZKe1DcWLpqA9p6pvjUbq+eKdIMaU/zedjMrjOz15lZX8qvJS0kdOf2OJnSg7GuS5dErrVJU30aqZXiyz7gTcCrgFcCDwDXmtllmY6qDe2Jm8/mMfqXeOK1VGpCK/NopXjTVpLJj9wS/6YDC6aeq54p0kYUN5bAPaQSJ2HrTaYYOSCqZNE0H2mGtJMpTwNuB/4fsN/M/t7MfiLl15QWsL08yXGPFkXenMsTaDoLMF2ZAnCfmtAuV8vEF3d/wN0/4e63uftN7v5W4GvAO+vc1emLuL24cSNvLaNe4lh8orSKnnqnWC3bQGJakSpTpEbLxJt2U02m5Oss169VmEqmKNEpbUNxYwmSK/nUnUwxm3qOpvlIM6SaTHH3e9z9HcBW4A3AZuD7Znavmb3DzDam+fqSndtK01N8tmiKz5R1QX7qj06VKcvTBvHlZuC8ep7g7nsWugEH0xlu9h4jOcWn+XFjZmWKkikyrQ3iTUty96nVfJY6xaeq2jelRJmSGkRLG1DcWJpymEym1H8sEMSxQtN8pBmaspqPu5fd/T+BXwLeBTwO+ACwx8w+a2ZbmjEOaZ47i9MBbHOgZEpVzox1cXXKrkqR4bCS8YjaXwvHl4uIpv/IIu3JcCUfgIIFFOKPxUO6+i2zaOF405JKlKnES50vtflsVXJFH1WnSDtR3KjPjGWRlxA3qgmY0EuESrxKypqSTDGzS83so0QnFu8gCiCPA55HlK39SjPGIc3h7twRV6YUMNaqX8oMyak+21SdsmxpxBczGzSzC83swvius+Pvz4gff5+ZfTax/ZVm9nIzO8/MnmRm7yPqn/LhZb25LpPlSj5V1Sa0x5mk5GEmY5DWpeOZ+sxcyacxlSnRftU3RdqH4kZ9SsuY5lP7nJL6pkjKUl0a2czeQVTW9gTg68Drga+7Tx2hbjez3wTuT3Mc0ly7KkWOxRUXp6hfykk2Bnm2xV9vK4/zE70DmY6nXaUcXy4Frkt8f1X8388AVwBbgDMSj/cQHRxtBcaBe4Gfc/evL+G1u9Yez3aaD0RTfY5TxIHDTLCFFZmMQ1qLjmeWJpn0KCzzkDOZjJlQZYq0AcWNpZlRmbLMZEo5HKc3t7Ih4xKZTarJFOAtwD8A/+ju++fYZhfwxpTHIU10V6Kx6ima4nOSjTlVpjRIavHF3a+n2g5+9sevqPn+/cD7630dmVbxkH1xz5QB8uSsKYWTJ0n2TTnMuJIpUqXjmSWYWZnSuGk+Yz4xT4QWaRmKG0sws2fKMpMpWplPUpZ2MuX5wK5EBhYAi9q5n+7uu9y9SHS1VzrEXYl+Kafk0v4Vaz+rLKAHo4irCe3yKL50kP2MU8YBWJ1Bv5SqgdrlkXXCJhHFmyWY8OnKFE3zkS6kuLEEM1bzWUKVai7xHE3zkbSlfenvEWDDLPevA7an/NqSkbvjfikBsCFQMqWWmU39uxwJyxyslDIeUdtSfOkge3y6X0pWU3wAVmh5ZJmd4s0SpFWZoga00iYUN5ag0dN8RNKUdjJlrmt6g6BPwk50LCyzO04ObAjy5NUvZVYbNNWnERRfOsgesl3Jp0rLI8scFG+WIK2eKUqmSJtQ3FiC0rKn+UxfFFEyRdKWStmAmVWbNTrwJ2Y2lng4B/wkcEcary3ZukdTfBaldkWf5/apOdZiKb50pmRlSpbJlF4CchgVXMsji+LNMiWTKcud5jOjMsU1zUdal+LG8pS9cZUpJV0UkZSldbZ7UfxfA54CFBOPFYE7iVa+kA5zd6L57CY1n53ThsRy0dvKCvR1UnzpMO4+VZnSS0CfZbecupmxwvMMU+IIE4TuWpGsuyneLMO4N26aT0CAYTiuyhRpdYoby5BsQGtLSMJqmo80UyrJFHf/aQAz+0fgf7n7iTReR1rPjGSKKlPmNBDk6Ddj3J37Szphq4fiS+cZosgI0fTALKtSqlYQJVMqOMeYZD19WQ9JMqJ4szwTcWWKYeSWObPczCh4niIlxpRMkRamuLE81WRKQB5bwrFxcppPcsqQSBpS7Zni7m9QAOke5TgxADBoAf0ZLW3aLqpTfUY8ZI+a0NZN8aVz7KY1ms9WJVf0OagmtILizVJVK0jy5JZ0UlSrWt0ySZFw5gIpIi1HcWNpqtN8kkmRegSJz/CypvlIyhpeOmBm/wFc4e4n4q/n5O6vbPTrS3YeKk9QjJc23aRVfBa0IcizK06ibCuNc0Y++yvyrU7xpTPtTvRLyXJZ5KpkE9rDPg62NsPRSFYUb5bH3acqU5Y7xaeqEJf8O84kRfpVNSYtRnFjeUKvUPFoVtRS+qVAVMVm5HHKmuYjqUvjjHcI4jPq6GvpEvcmVqXRFJ+FJZeN3lae4IWsznA0bUPxpQPt8dZYyadqIFEdc1DTCbqZ4s0yFCkRxv98hWU2n61KJmXGmFAyRVqR4sYylH15K/lU5SxP2cuUlEyRlDX8jNfd3zDb12kxs7cCvwdsAe4FrnT3782x7aeBX53lofvc/UnxNlcA/zjLNv3urqPqedyb6JeyUc1nF7QxkXC6X8sjL0qz44s0R3WaTw6bMcUmK1oeWUDxZrmSTWIbV5mSWNFHiU5pQc2KG2b2FuAtwFnxXfcCf+LuV6f1ms1QXuayyDOe61DxSdxDTK0HJCWp/maZWb+ZrUh8f6aZXWlmL2jQ/l8NfAj4c6LO2d8DrjazM+Z4yv8iSrpUb6cDR4F/q9nuRM12W5RIWdh9cTIlB6wLsluNo130WsDKOLg/WJqg7L7AMyQp7fgizTHuZQ7HJ0UrKTSkr8Jy9ZOjOorDOmETFG+WIo1kSn7G8sj625TWlnLc2AP8f8Cl8e07wFfM7EkN2HdmktNygmXEjRlNaHVRRFKU9iXArwD/AXzMzNYAPyJaEmyDmb3D3f9umft/B/Apd/9k/P2VZvZCokztu2s3dvchEiV3ZvZyYC0nV6K4u+9fzsDM7LRFbLZpOa/RSobCylQT1fVBnlwLnBC1gw1BnuFKkUmc7eVJziuoZLkOaccXaYJk89lWmOID08sjj1LmEOO4e0skeSRTijd1Go/7pUDjpvkUZkzzmZxnS5GWkFrccPev1tz1f+JqlWcQVaksqBXPVWZWpiy9yr12eeSeYGBZ4xKZS9o1TxcTVYsA/AKwHzgTeD3w9uXs2Mx6gEuAa2oeugZ41iJ380bg2+6+s+b+QTPbaWZ7zOy/zeyi2Z68gN2LuLV1KV7SfTOm+GRfpt8uNiSm+mzTVJ96pRZfpHlarflsVXWqT5GQExQzHo20AMWbOo37dLKjcZUp00kZTfORNtCUuGFmOTN7DTAA3FTHU1vuXCVZRbKsaT7JFX20PLKkKO1kygpgOP76BcB/uHsI3EwUTJZjA9GMkgM19x8ANi/0ZDPbArwY+GTNQ/cDVwAvBV4LTAA3mtl5yxxvR0smAjaq+eyiJRNP95cV7OuUZnyRJklWprRSMmXm8sj62xTFm3qpZ4pIunHDzJ5iZiPAJPAx4BXuft9y95ulxvVMSUzzCceWNSaR+aSdTHkYeLmZnQ68kOkqkk1EfUkaobbRhM1y32yuAI4DX56xM/eb3f3z7n5n3Mj2l4AHgd+uc1ynL+L24jr32bJUmbI065PJlJLmdNapGfFFUrYrrkwxYJDWaVy9IjEWNaEVFG/qlsY0H/VMkTaTdtx4ALiQaGrP3wGfMbMn1vH8ljtXmdEzZVmr+Ux/hmt5ZElT2me9fwL8M/BB4Fp3r5aevQC4fZn7PgxUOLkKZRMnV6vMYNHk918DPufu89Zvu3toZj8G6qpMcfc9C21jZh3RM8XduS+uTOnDGFTH7EUrmLHGchz3Cg+XJ5n0kF79+y1WmvFFmqDoFfYTXTFaSaGlei0lK1MOoQMxUbypVzoNaDXNR9pKqnEjPod5OP72FjN7OtFiG7+5yOe33LnKjKWRl9WAdvq5akAraUr1rM3d/x04g6jL9IsSD10L/M4y910EbgWeX/PQ84EfLPD05wLnAp9a6HXixMuFwL76R9kd9lZKDHkFiHqAqFFjfap9UyrAI2U11FusNOOLNMceRqfKCFul+WzVjOWRddLW9RRv6pesHGlUMsXMpvY1pr9LaXEZxA0DelPYb9PMrExZTgPa5DQfJVMkPanPx4hXxdlfc9+PGrT7q4DPmdktRA2X3kQUtD4GYGbvA7a6++trnvdG4Ifufk/tDs3sj4jmMj4ErCJqEHUh8FsNGnPH2Zbo9aEpPvXbEOR5OC6H3laa4ImF/oxH1D5Sji+Ssl0t2nwWZiZTDuqqlqB4U6+J+HMtICDXwIrLAnnKlBlnUittSctLK26Y2V8QNYfdDawEXgNczsykTdspNaxnyszVfETSkuqZr5kNEK2B/jNE029mfJq6+znL2b+7f8HM1gN/CGwB7gFeklidZwtRciU5ptXAq4jK4GazBvg40fShIaIyvMt0wDS3bYleHxuUTKnbhmC6bDn6t1yb3WDaSNrxRdK3a6ovX+slU4J4eeQxLY8sKN4sRXUaTr5B/VKqCuQYB0JCipTobbHYIVKVctw4Bfgc0bnOEHAX8CJ3/9Yy9pm58tTFC8OWMYFClSnSLGmf+X6SaErN54imySymMWxd3P2jwEfneOyKWe4bIuquPdf+fgeV7NblPq3ksyzrgvxU1+T7tTxyPVKPL5KuZGXKqhZqPlu1giiZMkGFEUqs1ElbN2tKvDGzdwN/Afy1u1+Zxms0Q+ghE/GS4oUGH2ompwyNMa5kirSy1OKGu7+xUftqJdUqksCW1zZg5tLISqZIetI+830x8HPufmPKryMZKbvzQJwAGLSAPjVPrVvejHVBjiNhhZ2VImNhyIpA/46LoPjSxopeYR+jQLX5bOv9zg+Q53D89UHGlUzpbqnHm7h55JuIrjDX+9zTFrFZ0xpJTiRW8mlUv5SqwoxkygRrWd3Q/Ys0kI5T6lRdGjlY5gUWMyMgT0iZkmtpZElP2smUY8DRlF9DMrSjPMlknGjXFJ+l2xDkORJWCIEHyxNc2DNn8ZRMU3xpY48xShh/3WpTfKpq+6Y8znTS1sVSjTdmNgj8E/AbwHuWsIvdjR3R8ozPSKY0dprPzOWRJ6OWmyKtSccpdah4iZAysLx+KVWBFQi9rMoUSVXalwL/APgTM9OZYYea0XxWU3yWLJmISvagkXkpvrSxnS3cfLZqIHFlTCv6dL20481HgK+5+7dT2n9TJVfaafQ0n+T+tDyytDgdp9QhmfTINSSZEq+W6UVCLy97fyKzSfvs93eBxwEHzGwHUEo+6O4Xp/z6krJtiR4fqkxZupnJFB0cLpLiSxtr5eazVQPJyhSU5OxyqcUbM3sNcDHw9GWM7/RFbPNkotU/UpfGsshVtdN8RFqYjlPq0KhlkWfbRykcpze3ctn7FKmV9tnvl1Pev2Tsfq3k0xBrgxw5oALcX9bB4SJ9OesByNLt9CiZYrRm81nQ8sgyw5fT2KmZnQ78NfACd19y8Hf3PYt4rab1TBlPsTJlxjQfJTmltX056wG0k0Yti1yVSyRTyuGYkimSilTPft39j9Pcv2Rr0kMeLkfzotdYjoKWDV2ywIz1QZ6DYZnHKiVOhBVWBY2dZ95pFF/a16RX2EfUEK5Vm89C9HfZ7znGqWh55C6XYry5hKgx7K2J360ccJmZvQ3odfdKSq+dmmQypfFLIycqU3xyni1FsqXjlPqUPVmZ0rhpPqDlkSU9qR/BmtkaM/t1M3ufma2L77vYzLam/dqSrofLk1SP8DaoX8qyaapP/RRf2tNuRqbWh2zVKT5V1b4pE1QYnlmhLV0mpXhzLfAU4MLE7RaiZrQXtmMiBWY2oG18Zcp0cmZMlSnS4nScsnjJhMdyV/OB2mk+WtFH0pHqGbCZPRX4NjAEnAV8gqir9SuAM4HXp/n6kq6Z/VJURbFcG3N54ibmbCuN85O9A9kOqMUpvrSv6hQfgDX0ZjiShdUuj7yqxZM/ko604o27DwP31LzWKHDE3e+Z/VmtbyzFnilmRsHzlCirZ4q0NB2n1Gdmz5TGTvNRMkXSknZlylXAp939PJjxiXc1cFnKry0p26Z+KQ01ozJFfVMWQ/GlTe1og+azVckVfdQ3pasp3tRhIsVpPtE+o8/LcSZw9wW2FsmM4kYdyt7YninJ6paSPr8lJWknU54O/P0s9z8GbE75tSVl98eVKQasUzJl2VZZQA/RnHlN81mU1OKLmV1mZl81s71m5mb28kU857lmdquZTZjZo2b25uWMoZPtiCtTAoyVLdp8tkor+kisaccz7n65u1/ZyH02W7ViJE8+lT5D1alDjjOB+qZIy9J5UB2S1SONWc1n+vO7rMoUSUnayZQJYNUs9z8BOJTya0uKRsMKOytFANYFOfJqyrhsFjehBTgSljlUUX+GBaQZXwaAO4G3LWZjMzsb+DrwPeAi4C+AvzGzVy1zHB1nxEscjk+0VlMgaPHYMZhI9hzQla1upuOZRXL3qZ4phRSqUqL9anlkaQuKG3VITvPJNaQBrab5SPrSLif4CvCHZvZL8fduZmcAfwl8KeXXlhQ9WJ6caiCpKT6NszGXZ18YJVHuK03w3FxrX7XPWGrxxd2vJirDXexV1TcDuxJXk7eZ2aXAO+sZi5mdtojNmra8aRpmTvFp7X4pAP3kMMCBg+hgrIvpeGaRipQICYHG90upqk2mrE/lVUSWTXGjDskGtNaA2DGzZ4ouhkg60q5MeSewETgI9APfBR4GhoH/k/JrS4ruT/RL2ahkSsMkG/lqqs+CWim+PBO4pua+bwKXmtVVq7p7Eberlz3aDO3wE1Nfr2nxfikQJdNWxAd1h5ggVH+GbtVK8aalJStFGr2Sz2z7HVPFmLQuxY06VCtTggZNDzQLsLg6TpUpkpZUz4Ld/QTwbDP7aeASouTNbe7+7TRfV9I3YyUfLYvcMBtnNKHVAeJ8Wiy+bAYO1Nx3gCjGbgD2NX1ELWpHYiWftW1QmQLRVJ9RypQIOcYk6+nLekjSZC0Wb1raeBOSKXlN85E2oLhRn2qT2Eb0S6nKWYGyV5RMkdSkdhZsZgFwBfBKouXAHNgO7Dczc7Vfb2vV1WZywBrTssiNMhDkWGHGmDv3l6Kr4K3eUyILLRpfal/T5rh/PqcvYpsn06bVKe4+Nc2nh4D+lPopNFqyCe0BxpRM6TItGm9aVnJZ5KZUpqgxtLQgxY36VLxE6NE090YmUwIrgE9Q8UlCLzdklSCRpFSm+VhUm/VfwCeBrcDdwL1Ea6p/GvjPNF5XmuN4WGZv3Bx1fZDXyX6DVXvQjHjI7rjJr0xr0fiyn5M7828CysCRxe7E3fcsdCMqF25Lh5hglDIQTfFJY5WPNAyoCW3XatF409KSyY20eqb0JP4mVZkirUZxo37lsLHLIlfl1IRWUpZWeu4KovXTf8bdr0s+YGbPA75sZq9398+m9PqSovsTU3zUL6XxNgYFdsXJqm2lCc7Mt8dUiCa6gtaLLzcBP19z3wuAW9xdyzLFts/ol9I+v9eDMypTlEzpMlfQevGmpTVjmo96pkiLuwLFjbokly7ONboyJVYKx+jNzba4ksjSpdWA9rXAX9QGEAB3/w5RF+tfSem1JWXql5KujYl/03tLOkicRerxxcwGzexCM7swvuvs+Psz4sffZ2bJg6CPAWea2VVmdoGZ/RrwRuADyxlHp3mU6WRKu/RLgdrKFF3Z6jI6nqlTMxrQBhYQxIewqkyRFqS4UafkajuNrExJJlOK4WjD9itSlVYy5anAN+Z5/GrgaSm9tqRsm1bySZVW9FlQM+LLpcDt8Q3gqvjrP4m/3wKcUd3Y3bcDLwEuB+4A/gB4u7tr6cOE7Z5cFrn1V/Kp6iGgEH9cHtDyyN1GxzN1akbPlOS+1TNFWpDiRp3KnkymNLIB7fSxhqb5SBrS+pRbx8krWyQdANam9NqSInfnvrj5bA/GSkt7de3u02MBayzHca/wUHmCSQ/p1b9zUurxxd2vZ7qB7GyPXzHLfd8FLl7O63aySa/wGCNAtDpOoY1+p82MAc9znCLHKDLhFfrUeLtb6HimTslpPrkUm0wXyDNJkRJlil6ip4EnYCLLpLhRpxmVKQ08PVXPFElbWkezOYi7DM6uQsrLMks6DoRljoUVIJqO0i4NJNtNdfpUGXioNJntYFqP4ksb2skwYfz1ujaa4lM1mJzqo+qUbqJ4U6dqpUiBdI8RZjahVXWKtBTFjTqVmtIzRdN8pPHS+kM24NNmNtdZYPsdSQswc4rPBk3xSc3GIM/DRH8+95XHeXJPf8YjaimKL23okRnNZ9tnik9VMpmy38c401ZmOBppIsWbOoQeMh5/dqU5xad2/2NMsAY1lpSWobhRp2QypeFLI8/yGiKNklZlymeIlu8cmuN2EGhIB2sze6uZbTezCTO71cyeM8+2l5uZz3I7v2a7V5nZfWY2Gf/3FY0Yaye4Vyv5NMWmxL/tvUVdcavRtPgijfOot2fz2arkij77VZnSTRRv6jDBJI4DzU2mjKoxtLSW1OOGmb3bzH5sZsNmdtDMvmxmT1jmuDOTVjIl2TOlWFFlijReKp907v6GNPZby8xeDXwIeCtwI/CbwNVm9kR33zXPU58AiWUl4FBin88EvkDUQPI/gVcAXzSzZ7v7Dxv7DtrPjOazWsknNWuDaKZ5hZkJLGlefJHGCd2nVvLpIWCgDaubZ1amKMHZLRRv6jNzJZ90e5gk9z+qaT7SQpoUN54LfAT4MdH53J8D18TnQG2XNUhvmk8OI8AJKYUjDduvSFX7HdHO9A7gU+7+yfj7K83shcBbgHfP87yD7n58jseuBL7l7u+Lv3+fmT03vv+1ix2YmZ22iM02LXZ/raDszv3xif2gBfS3UQPJdhOYsSHIcyAssy8scbRSZp2SV9KmDjDGWDx9fC29bdlraQV5AiBElSkic0kmNdKuTOlJVqYomSJdxt1flPzezN5AVPFyCXDDYvbRSucq5bgBrRFgDT6/yFkPZZ/Q0siSirY9OzOzHqKA8Zc1D10DPGuBp99uZn3AfcCf1awD/0zggzXbf5MomVKP3XVu3/K2lyeZiMt31S8lfZtyUTIF4N7SOM/JqUeDtKdH2nyKD1RX9CkwTImDjFP2kLwSyiIzjHnzkimqTBGZYXX836N1PKdlzlWqlSmNnOJTFVgBfIKKT1LxUkMrX0Ta+UhwA1G37Nqlxw4Am+d4zj7gTcCrgFcCDwDXmtlliW0217nPrnFfYrrJJlVJpC7Zk+aekg4UpX09QvsnUwBWxidvIc4hnbyJnGSsiZUpM3um6O9RupdF5Z5XAd9393uyHk+9Qq9Q9ugcI41ER7Jvilb0kUbrhDNir/neZrkv2tD9AaIEStVNZnY68E5mlsQtep/zOH0R2zwZuLrO/WbmvmS/FFWmpG5TMP2Bor4p0s4e9iEgyt6vbsOVfKqSfVP2McYWBjIcjUjrGZ3RMyXd44TAAnKeo0KFUU29k+72YeCpwLPrfF5LnKtUp/hAOpUpM5IplVH6cmsa/hrSvdr5jPgwUX/O2oqRTZxcWTKfm4HXJb7f34B94u57FtrGzNqqZ8q9pep8RlivZErqVgQBAxYw6iHbSuOU3cm3Ya8J6W7HfZLD8QnWGnrJtfHvcDKZstfHuLh934pIKmZO80m/lL6HPONUGGMCd2/Lfkwiy2Fmfwu8FLhsMeceSa1yrlJKOZmS3Kf6pkijte00H3cvArcCz6956PnAD+rY1UVE03+qbpplny+oc58dZySssKNSBGBdkNNJfZNUl0iewHmkPJnxaETq1wn9UqpWzqhM0QGZSK3kNJ88udRfrzA19S5kAn1GSvewyIeJ2hY8z923Zz2mpUpOvUl7mk9RK/pIg7V7ecFVwOfM7BaiJMibgDOAjwGY2fuAre7++vj7K4EdwL1AD1FFyqviW9VfAzeY2buArwAvA36W+kvnOsp9pYmpeU7J6SeSrlNyebbHSay7S+M8odCX8YhE6vMQQ1Nfr2vzZEpyRZ+9rmkFIrWqjWDz5Ama0KC5J5HgHGGMfvQZKV3jI8AvE52nDJtZtap+yL29mggll0VOZ5qPKlMkPW1bmQLg7l8gWmXnD4E7gMuAl7j7zniTLUTJlaoe4APAXcD3iBIkP+fu/5HY5w+A1wBviLe7Ani1u/8wxbfS8u5N9EtR89nmSSau1IRW2lG1Xwq0f2VKYDY11ecgY5Q8zHhEIq0j9JCxeEpfT5Ou1SVfZ0R9U6S7vIVoBZ/riSrsq7dXZzimJUm9MiVIVKZUhhu+f+lubX9W7O4fBT46x2NX1Hz/fuD9i9jnvwP/3ojxdYp71Hw2E+uCHHmgDNxV1IGitJdRL/FYPB1mNT0UOmAp4UEKnKBECBxgjNMYzHpIIi1hnEk8rmFtRr+U2tcZ9bGoqZtIF3D3jvltL86oTGl8k/qcTV/I0TQfabT2P7KV1IXuU5UpfRgrO+CEqF0EZmyIk1cHwjIHK6WMRySyeJ00xacq2TflMVe5sEhVckWdtFfyqaqd5iMi7SftyhQjh8WnvKpMkUbTWbEsaFelyHBczr4pl1e3/CY7JTf9wXKXpvpIG3koMcVnfYckU1Yllnbeqya0IlNGE81ne5pUmTIzmaLPR5F2lHbPFDObakKryhRpNCVTZEF3J/ulqPls052SmFZ1d1EHi9I+HvTjU1+v65DGkMnKlD2qTBGZMjpjWeTmVKacNM1HRNpOsjIlSCl2VJMpFS9SDrXylzSOkimyoHuKaj6bpeS/+Z0lHSxKe0j2S1lFoSP6pQD0kaMQf3Q+psoUkSkzp/k058JLzgJy8RLMw/p7FGlL1cqUwAqpVb+rb4qkpTOObiVVd8aVKQFM9e+Q5umxgHVBdLD4cHmSkbCS8YhEFvYQQ1PLqa/vkKoUiMqFq9UpQxQZcfUxEoHaaT7NO1aoTvUZY5xQK2yJtBV3n0qm5FJoPlulFX0kLUqmyLyOhWV2V4pAlEjJq19KJk6Jp1c5M6ddibSqBxJTfDopmQJRpU3VbnSFSwRgJDHNplk9U5KvFeKMqW+KSFsp+zhOlARNo19KVTJRMxmeSO11pPsomSLzSvboOEVTfDKT/Le/Q0skSxt4YEa/lM5oPluVbEK7x5VMEYHp1XQCAnKWa9rr9iYSN8Na0UekrRQr05+hqVamJKb5TFaUTJHGUTJF5pXs0aHms9nZnPi3v1OVKdLihnySffFJzRp6OqZfSlUymaLKFJGoVL/aM6WZVSm1rzesptAibaU4Y1nk9JIp+UDJFElHZx3hSsPdocqUlrAiCFgVn5BuK40zoXnh0sKSVSkbOmyKD0Qr+lQnPO7WyZsIE0xSiUv1m59MmT4BG1ETWpG2kmwGm0t1mo+SKZIOJVNkTmNhyEPlCQDWWI6+Dru63G4256IPmTIzV1gSaTXbOD71daf1SwEIEk1oDzDGpKsptHS3EbLpl1L7eprmI9JeSk2qTAksj8Urf6lnijSSzo5lTneXxqmeImxWVUrmtuSmDxhv0xLJ0qLcnW1+DIAAY22H9UupWh1fDXdgj6b6yBKZ2bvN7MdmNmxmB83sy2b2hKzHVa+ZyZTmHi/0apqPSNtK9kwJUkymwPRUn2JlGHdfYGuRxVEyReZ0e6LR6eac+qVkbUuib8rtakIrLWo/YwwRrQC2nl5yHboC2OrE1IKdakIrS/dc4CPAM4DnA3ngGjMbyHRUdUqu5FNocmVKjhxBfDg7rGk+Im1l5jSfdJMp1ak+TjjjdUWWQ+UGMqc7EtUPm9V8NnPVviknPOS+0jjjHtKvqVfSYu6Lq1KgM/ulVK1JVNzsZDjDkUg7c/cXJb83szcAB4FLgBsWux8zO20Rm22qb3SLl0xi9JLuCVEtM6PXC4wzyTCjhB4S6LNRpC3MnOaT7rlG3qaPSSYqx+nNrUz19aQ7KJkisxr3kG3xqjGrLGBFoAOTVrAlV+BEeZIycFdxjJ/sHcx6SCIzJJMpGzs4mbKSAgEQAjtcyRRpmNXxf4/W+bzdjR5IPZLTa5rdMwWiBM44k4SEjDLOStqqsEeka03G03wC8ljKSdBcMDOZsprTU3096Q46Q5ZZ3VUcoxx/faqm+LSM5M/iFk31kRZT9AoPMQRAHzkGMzipapbAbGqJ5IOMM+qljEck7c7MDLgK+L6735P1eOqRrEzJIpmSXNHnhHoYibQF95BSPN0mF6TfXy0/Y0Wf46m/nnQHJVNkVrcmTtS3KJnSMrbMSKZobniazOytZrbdzCbM7FYze848215uZj7L7fxmjjlrDzFEKV4edSN9WIf2S6lak+yboqk+snwfBp4KvHYJzz19EbcXN2aYJ6smU3ooZPJ3rya0Iu2nFI7h8TFD2v1SAPLJypTy8dRfT7qDpvnIrG5V89mW1GcB64IcR8MKD5UnORaWWRvoz7jRzOzVwIeAtwI3Ar8JXG1mT3T3XfM89QlAcs29Q6kNsgXd49MzEzbSn+FImiPqmxJdVXvUh3mirct2QNK2zOxvgZcCl7n7nnqfv5jnmFkqPVOKXmIybjqdRVUKzOzTMqTKFJG2MBlOX4RoSjKlpmeKSCPoLExOMhRWeKA8AcDaIKcmpy1ma67A0bCCEyW9frZvVdZD6kTvAD7l7p+Mv7/SzF4IvAV49zzPO+jux5f6olk3kVwOd59Kphid3Xy2Krns86N+Yp4tRWYXT+35W+AVwOXuvj3jIdUt6yk+UJtMUZWYSDsoVpLJlPSn+ZgF5KyHiheVTJGGUTJFTnJrcZTq6utbtYpPyzk1V+DuUpTs+uHkqJIpDWZmPUQrafxlzUPXAM9a4Om3m1kfcB/wZ+5+XZ0vn2kTyeU4wDiHiZOw9FLogiRsPzl6CZgkZDsnCN0JOnxqkzTcR4BfBl4GDJvZ5vj+IXcfz25Yi5fsUdLslXxme90hNYQWaQvFJlemAOStn4oXKfsEpXCMQrCiKa8rnavzj3albj9O9OJQ89nWc0pQIBd//aPiKO4+7/ZStw1ADjhQc/8BYPPJmwOwD3gT8CrglcADwLVmdllag2w1d/uRqa9P6YIpPhAtyVqtTpmgwmOoV4PU7S1EK/hcTxRHqrdXZzimupzw7JMpZjb12kMM63NRpA1MJitTmtCAFiAfTB+fjJfrXTRN5GSqTJEZ3J0fTkYnBDnUL6UV5c3Ykiuwp1LicFjm4fIk5xU6f0pFBmqPxm2W+6IN3R8gSqBU3WRmpwPvBG6o4zUXs07fk4Gr69hnU9yd6JeyqUuSKQDr6GU/UQHBwz7E6ablymXx3L3tS5mGWqAyBaCPHiYpUqbCKOMMoivOIq1s5jSf5sSOQiKZMlY+wqqexcyuFpmbKlNkhp2VIgfCaFHkzbkCeZWst6TTEkmum7WqT6MdBiqcXIWyiZOrVeZzM3BePS/s7nsWugEH69lnM4x4iYfjJZEHyDNo3ZOEXZfoDfOQD2U4EpFstEJlSvTa01e21TdFpPVNhtO9xvLNmuaTmNYzXjkyz5Yii9P2yZQ6ly99pZl9y8wOmdkJM7spbiqZ3OaKOZY47YpL/zdPTp+Yb1VVSss6LTf9ofODSa1c0EjuXgRuBZ5f89DzgR/UsauLiMr1O97dfmSqZKdbpvhUraJAnijp/BBDhJpeIF2m2jMlICA/NQm1+foSiZxjaggtHc7MLjOzr5rZ3vg85eVZj6leE5XoAkRgBcyaEzsKpmk+0lhtnUxJLF/650QnLt8jWr70jDmechnwLeAlRA0mrwO+amYX1Wx3AtiSvLn7RMPfQAv6QXH6xPw0JVNa1qogx+q4wec9pXGGwkrGI+o4VwG/bma/ZmYXmNkHgTOAjwGY2fvM7LPVjc3sSjN7uZmdZ2ZPMrP3EfVP+XAmo2+yO2f0S+mu0nozY31cnTJCiX2MLfAMkc4ReshI3Cuolx4sw2rWvkRlynGUTJGONwDcCbwt64EsRehlSmEUO/JNWMmnKrACFid9x8qHmva60rnavWdKXcuXuvuVNXf9vpm9DPh54PaZm/r+5QysHZc4HQkr3FGMTgRWWsDqJmWJZWlOz/cwVJogBG6eHOGF/auzHlLHcPcvmNl64A+JEqr3AC9x953xJluIkitVPcAHgK3AOHAv8HPu/vXmjTobE17hPo4B0EvA2gzL/LOynl4OxH1T7vdjbLWBjEck0hwnGCGM69KynOID0J9IphzTlDvpcO5+NXH/tKUmMbM8V5msTCc8c00s/jczCsEAxfAExXCEUjg+o4+KSL3aNpmyzOVLq/sIgJVAbZ3XoJntJOrBegfwB+5+O/VpuyVOf1QcpVrfcHou2ytMsrAzcj3cEy+R/D0lUxrO3T8KfHSOx66o+f79wPubMKyWcy9HKRECUVVKN8aNDfQDxwG4z4/xM6ihnXSH44neJH0ZJ1PylifvOcpUOKbKFJHFyOxcZbIynfDMN2kln6qeYAXFuF/LWPkgq3vObOrrS2dp52k+S1m+tNbvEpXJfTFx3/3AFcBLgdcCE8CNZlZXI8l2dEOi98bpeU3xaXWbgjx9ca+Gm4ujTHqY8YikG93m02WyW7psik/VIHn64rLhhxii6Jp2J93huCeTKc09IZpNdQxjTDDhkxmPRkTmMjGjMqW5saMQTFePjpY01UeWp20rUxIWvXzpjI3MXgu8F3iZu0+tjuHuNxOtwlHd7kbgNuC3gbfXMa62WuK07M7NcTKlB2NzoGRKqwvMOD3fw0PlScY95JbiGD/Vq2VZpXkmvDK1JHIPAeta4GQqC2bGBu9jD6OUCHmQIZ7MuqyHJZK6ZG+SVkim9NPLSNy36ChDnNpas6lFWk1m5yqTleNTXzezZwrUJFPK9SzSKHKydk6mLHn50rhx7aeAX3T3b8+3rbuHZvZjlrDE6ULbmFnLfMrfWhxjOK5sOC1XINeFpfrt6MxclEwBuG7ihJIp0lR3+5GpKT6bWUHQxXHjFPrZEzfivNuP8GRTMkU633FPJlOy75fUn1iq/Igf59TWOcwSaTlZnquMV45NfZ1vcs+SQrCC6rX34VJXLLooKWrbaT5LXb40rkj5NPDL7v61hV7HogYAF9LhS5xePzl9QHRWPvsDIlmcrbkChXiqz/cnRyhpWVZpoh9PF/V17RSfqg30TX2g3uVHtESydDx3n6pMKZAn1wJN61ckkykcm2dLEcnSxFRlijV9mo9ZQE9cnTJROUYpHG/q60tnadtkSqze5UtfC3yWqFfKzWa2Ob6tTmzzR2b2QjM7x8wuJKpgubC6z05UdueGiWiKTx44LadkSrvImXFGvIT1sIf8qDia8YikW4x4aWoVnz5yrG+BEv8s5S2YWiL5OEV2JBpzinSicSaYoAi0xhQfgL6ayhSRTmVmg2Z2YXyuAnB2/P0Z8z2vFbg7E+XjQDTFJ4vG9T3ByqmvR0rLWsBVulxbJ1Pc/QvAlUTLl94BXMb8y5f+JlG+4CNElSbV218ntlkDfBzYRrQy0FbgMnf/UUpvI3O3FEc5HjdMPC3XQ76LS/Xb0dn56YPYb01oBQNpjlv9EJW4PdWWLl3Fp1ayOifZmFekEx1lejWO5PSaLOUsmFqi+QhDVNQMWjrXpcDt8Q2iC8y3A3+S2YgWqRiOEFICmj/Fp6onN51MOVFacLaTyJzauWcKUPfypZcvYn+/A/xOI8bWLpIn4Odoik/b2Zor0INRxPnexDBjK0NWBG2dJ5U2cLNPt6Y6jYF5tuwem1nB3RzFgVv8EK/wc9R/SjrWUU8mU1qjMgVggH4mKRIScpQhNqoZtHQgd78eaMsPmIlkvxTLJhHbG6ya+vpEcVcmY5DOoDOuLjfuId+NV/EpYJri04ZyZlNJsAmc705qeoGka6+PTk1jWUWBVaa4AVCwgE1EV9mGKHK/ejZIBzvK8amvW6UyBWAF01e6D/qRDEciIrMZLx+d+jofZBM7ckEPeYtixXBpH5WwmMk4pP21fWWKLM8NE8OMx6v4nJ3XFJ929bh8L/fHq/p8fXyIF/evXuAZIkv3A5+eX3waWkEq6TQGOEDUzO7GcD9PyjX+qnjFQx5iiEf9BIeZoIKzkgKnM8gFtlbJLWmKw4meJK3SMwWiypSqgxzlSRmORURONlaeTnJGK+tkoze3mnJ5HHCGijtZ11fXwq0igJIpXe+/x6fLdM/Nt87BkNRnU5BnlQWc8JDbSmPsKRc5TVO2JAUlD6em+ATA1i5fxafWJvrpJWCSkDs5zHGfZE2DVioY8RLX+h6+7/sZieeb1wrcuNDW8xI7k62m6VeSjopXpnqm9NFLzlqn0Dm5os8BP5zhSERkNuOV6b/LfIbJlL7cGkbL0cWho5OPKJkiS9I6n37SdHvKRW4rjQGwygJOCZRba1dmxuPz0weQXx0/nt1gpKPd6ocYpQxEPUJ6WmA51FYSmHF6XK0TAtf53mXvM3Tn+vAx/jD8Md/w3XMmUqLXdG7zw/x5eCv/Fj5CUQ04JQVHGSIkqmpd0UJTfAACC6aqU44zzLhPZDwiEUmqVqYE5MlZIbNx9OVWY/Gp8LHiI3hcqS9SDyVTutiXEyfcT8j3aTWONnduvneqE9l/jw9R1IeCNJi7c70/NvX9maycZ+vudSYrpz5cb/C9jPrcyY+FHPEJPhjeyRf8EcbjJJYRrRx0Iet5Dpt5Llv4CTZyDivpiV/Zge/4Y/xleDsHfGx5b0ikxiGf7nmQ7FHSKgYTFXP70MpaIq2iFI5TCkeBbKtSAMxy9OXWAFAKxxhSI1pZAiVTutSkh3wtTqYEwLkFTfFpdyuCgLPiBsLHvcJ3JtSIVhrrUU6wk6hh9SoKrEVTyWbTZ7mpXjITVPiG717Sfm7zQ/x5eCsPM73i2mkM8NOcysW2ga02wCrrYdAKbLR+LrC1PI9TeQKrCeLU6j7G+Kvwdu53NcOVxjnIdM+DVqtMAViZWGFsrx/McCQikjRWnk5uZtkvpao/v3Hq60MT92Y4EmlXSqZ0qavHhziRaDzb30LznWXpLihMH9R+cewo7p7haKTTfDvcM/X12axUNds8zmXVVELjen+MfT666OeWPeSL4SN8ItzGONE0nX5yPINNPM3W029zT8nMWcC5tppns5lBovLpcSp8OLyH21xX6KUx9idWyRlo8cqU3YmG2SKSrZHS9N9jT5B9X6/+3FosbiF6ZOJBSqEqOaU+OoPuQqE7/zo2fZXySfnWOxCSpTklyLMhiHpYPFCe5NaiPhSkMfb7GHfGV6N7ybGF7A+CWlm/5TknngZVxvlM+CClRUy9O+ITXBXeyXWJ6VSnsoLnsIX1tvgKgJVW4Kc4hU1x1UAF55PhNn4YHqjznYjMNOGTHI+rpVbQT9CCF2NylptKqAwxzAkfyXhEIgIwWp6uFCsE2a8GaBYwEFenhJTZP3ZHtgOSttN6n4CSuu9ODrO7Eq2nvjnIsyGnxrOdwsx4cmE6OfbZsSPzbC2yeN/wXVTrnM5mJTlVpSzoXFYxEF/x2skw/+wPEc5RLebu3BTu58/DW9lONEUvAJ7MWi5kPYUlnLDmLeASNnJanPhy4DP+AD8KNe1Blu4A0ytxDLZgVUrVqsSy7bsa0AhaRJZvtFRN6BuFoDXix2Bhy9TX+8ZupRxOZjgaaTdKpnSZ0J1Pj06fYD+t0BqBTBrnrFwPq+ITr1uLY9yh6hRZpgM+xo/jvgMFAs4k+6tJ7SBnARexYeqD9mY/wCfCbQx7cWobd+chH+KD4V181h+cMa3nmZzCmba86VSBGU9l3dTPzIFP+/2a8iNL9liiB8lgC1eorU40yH7U98yzpYg0QzmcYLwSNa8uBCuwFqlqywd9rIirU8o+wZ7RmzIekbQTlSR0me9MDvNwOcq4bghynJrLbkkySUdgxtMK/XyvGPVo+MTIIT689gz1t5Al+6rvpDpB5WxWkm+RA6B2sNp6uNA3cFt8Nf8ODnNveJTHs5pecuxihMPMXLp1Kyt4EuuWVI0yGzPjSb4WB3YxggP/EN5Pb5DjSbauIa8h3WNPogfJyhZOpvTTSy89TFJkH4cY83FWmC4giWTlRGl6+mpvsCrDkZxsVeF0xsqHAWfv2C1s6DufwcLmrIclbUBHxF2k6CF/PzJ9NfKSwgqdYHeox+V7p6pT7iiN8/1JzReXpdnuJ7g1rmLoIeBsLYdcty22gkvZSD5uSFsi5F6OcRuHZyRSVpDnUjZyoW1oWCKlysx4MmunpvxUcP4+vI+HfKihryOdbczHOUr0O7OCfvKWy3hEczMz1hKdsDnOQ74z4xGJdLfh4nQypSfXWscS+aCPVYXT4u+cB4b+i1I4numYpD0omdJFvjh2jL2VEgBbgryqUjpYYMalPdOrGfztyEEmF9H8UiQpdOeL4SNT35/HalWlLNEp1s9zOZWzGKSQ+Og1YD29PI31PJctnJLilXMz4ymsY3Pc56JEyEfDe9jpWkZdFmdnovfIqhauSqlaz5qpr7f5I1rhTiRDJ0rT0+1arTIFYGVh61RT3MnKENuOf0n9U2RBOiruEvsqRf5xJCozN+AnegZUldLhzsz1sDmIZvI9VinxT6NHMx6RtJsbfT874maog+Q5Q71SlqXPomk1z2crP8Op/DSn8kJO5xl2CqfZAEETYnJgxkVsYGO8ys8EFf42vJs9Wu1EFmFHYpWpNbTeyVCtPuudWtXnOMPsZl/GIxLpTuVwguFSlIzNWz+5oCfjEZ3MLGB97+MJLLrYPFLax73HvsBkRRccZG5KpnSB0J2/PLGfiXgtjgvyfazXCj4dz8x4Ru8A1dOzz4we5uHSxLzPEak65pP8hz869f2TWNeUk/1uYGb0WZ4Vls9kVaTAjEvYwDp6ARilzF+Hd/OYjzZ9LNI+Jr3IHqJ+KQXyrGDxS3VnaRPrp76+NbxP1SkiGThe3AnxeUhfbk2mY5lPPuhjQ+8TCeK2oqPlA9x55DMcnXg445FJq1IypQt8Yewot8QrugxYwMU9asDWLdYFeZ4Sr9hUBv74xD4mNN1HFhC68+nwfibilWVOY4AN1h4nTrI4OQt4OhtZQ3R1cIQSHwrvUoWKzOkR300lbkW9llVtU926hpX0xYnDAxzmUXZnPCKR7nNscnrKcCsnUwB6cgNs7H8yOYviRtnHuX/oP7n/+FeYqKjPmMykZEqHu6M4xt8lms4+u3eAHvU86CoXFfpZGzcJfLQ8yf89sV9X5mReX/OdPBg3mewjxxNZm/GIJA15C/gJNrE6kVC5KryLR9SUVmbxQKJSbV2iF0mrMzO2smnq+++HtzHuqtIUaZbQyxydfAgAI0dvbnXGI1pYIVjBpv6n0pebPv45Ovkgtx/+FDuGr1dzWpmis+oOtrtc5PePPxZfW4anFvrYmmu9OYqSrpwZl/cNTq2D/o2JE3xuTP1TZHa3+iG+7rumvr+Q9Q1fWUZaR8ECfpJNUxUq4/GUnzv8cMYjk1ZywI9wgCNAtORwu0zxqVrNSlbHPZ/GmeCa8EbKXs54VK3N3Sl6iVEfZ9wnCFXVKkt0bPJRKl4EoD+/DmuTY4qcFVjfez5re86dmvbjVNg79mNuO/xxdo18n3KoxGy3U+OMDvVYucj/OraLIY9SKacGBS4urFjgWdKp1gZ5ntM7yHXxEsl/P3KIlRbwihWqOJBp2/wYnw7vn/r+fNawXtN7Ol7BAn7SN3FrvFRziZCPh/fxP+xMXmRnqFeOcHt439TXm1jfNlN8qsyMM/1U7uNRypTZxyG+Fn6Xnw2exUCKK2i1E3fnAEfY5XvZ54c4wnGKlKYeN4zVDLLJ1rOVUzjTTqUvngYhMp/947dPfb0ityHDkdTPzBgobKI/v44TpT2MlPYBTsWL7Bm9iX1jt7FlxcVsWXEJhaBxsaTiRcbLx5isDFEKRyn7JGGcADZy5KxAPugjH/TTEwzQEwxSCFa0TaKqkyiZ0oEeLE3we8f3cDiM/ujWWo7n9Q3qgLjLnZ3v5UQYcmsp6p/zgeEDnPAKr1/RfgfG0nh3+RE+GW6jHDeIO40BzmFlxqOSZslbwNN9I3dxhMcYw4Gv+k4e8RO8PngCq01Vjd1qvx9mB9EqPgXyrKP1S/RnU7AC5/oZPMgOQkL2cYgvhF/naXY+F9jjWNGlieNhH+V+f5QHfDsjjM25neMcZ5jjPsyD7CBw4wxO5YLgcZzOZgKdxMksRksHGSpG1a5566O3xfulzCWwPGt6zmIwv4Xh0h5GyweJkiqT7Bm9ib1jt3BK31PYvOJi+vP1Xah0dyYrxxkq7eZEMUrYjFfqryA3AnpyK+nLraE/t44V+Q0M5DcxUNhEYDrlT4v+ZTuIu/O1iSGuOnGAyfiEaI3leFH/KvVJESCa6lUi5K54VZ+PjxzmkdIk/3vVZgaDXMajkyyE7nzb9/Bl3061k84p9PMU1inJ1mUCM57m6xmkwANxz5z7OMafhrfwKjuHZ9gp+p3oMhWvcEP446nvt7CxrU+aB6yfx/tZPMIuSpQpUuLHfje3+D2cwnpOtU1stg1sYn1HV124O/s5zF3hA+zgMZyT+6gVyNNLD3lyhDglykwwObVtiLODx9gRPsYqBniSPZ4L7Bx64mVlRdydnSM3TH0/WNjS9p8h+aCXtb2PY2VhKydKexgrHwKc0EvsG7+NfeO3sbrnjGh6UO/Z9OZOXkLe3ZmoHGe49BgnirsZKu5iMjyx7LE5IZOVISYrQwyxc+p+I2CwsJnVPWeytvccBvPt/3NoJUqmdIid5Un+ZvggNxenl7bcFOT52b6V9LXxgY80lplxSWEFBYKpCpVrJ4e5+8g4b1+5ict7VyrAdpEDPsY/hw9NNZsFOJUVPI31qmTrUmbGuaxmtfdwJ0eYJGSUMp/1B7nB9/Gy4CyewBrFiS7g7nzPb+VoHB9W0MeGDmhGPWD9XOCP4zEOcITjQFR1sZ/D7PfD1dVbWc1KTrH1bGEjp9omVjHY9r/3Fa/wiO/mbn+QQ5x85XsVg6xlFasZpDBLUiT0kFHGGWKYowxRIqqAPsEoN/nt3OJ3c76dw5PtPFabKhu73eGJbRwvbgcgZ70M5E/JeESNkw/6WNd7LqsKpzFc2stY+SAer3Y2VNwVVeMMQyEYoC+3Jl4ZKKQUjjFROT7VQ2Z2RiFYQSFYQd76yVmBwAoYBhhOiFMh9DIVLxF6iYoXqfgk5XASn+qWGXFChkt7GS7tZc/oTRSCAdb3Pp4NfeezsrC17eNa1to+mWJmbwV+D9gC3Atc6e7fm2f75wJXAU8C9gLvd/eP1WzzKuBPgccBjwD/x93/M513sHTuzn3lCf5t7BjXTpwg2Rrs8flentEzQF5/IFLDzHhaTz+rg4DvTY5SwjkYlnnP0F7Oz/fx2oF1XNY72PXVTGnEllax38e41vfwAz9AmLgieR6rOI/V+mAVNlo/z/Et3Msx9sWl/zsY5q/DuzmTQS6zU7nYNtCn0uGGqDfepC30kB/47dwfr+BjGGfSOQfdBctzFlvZ4hs5zDGOcYJJZp7cDDHMUDylBYdBVrDVTuE0TmGrbW6baUHuzlGGeNB38IBvZ4LJGY/nybORtWxg7YJVJYEFrGSAlQyw1U9hiBEOcYQTRBfySpS52x/kbn+Q09jM+XY2Z9pWCooTqWm12FE1XNrHI8PXTH2/uufMjuznkQ/6WNt7Dqt6TmesdJDR8gHKidXCSuEopXB0nj0AGL3BKnpzq+nNraInGFzyv5W7E1KiHI5TCscohiMUK8MnjWn/+O3sH7+dnmAlG/rOZ0Pf+Qzkm1t9Gq0s6oC19WdLW0c3M3s18CHgrcCNwG8CV5vZE90Ty1FMb3828HXgE8DrgJ8CPmpmh9z9S/E2zwS+APwB8J/AK4Avmtmz3f2H6b+r+Z0IK9xbGufW4hjfnxxmd6U04/EVFvDMngHOzGt+u8zvrHwvG4I8NxZHeSz+Pbq/PMEfDe1lpQU8u3eQn+wZ5Gk9/WwM8m0d6OqVRmzJUujOPsbY5se4ww/zCDPLSfvJ8VTWs6FNTg6kOXotx8Vs4JCPcx/HGYmbUe5khM/5g/yrP8z5rOGJto5zbRVbGCDXRXGiUeqNN2lyd/ZxiJvDOziYqFw4i61tkzyoR6/1sJVT2MopFL3ECGOMMsYo44wxMWP6ywhjPODbeYDt4LCWVWyxTWxmA5tsHatpncrOopc4wBH2+H52+l6Oc/IUgn76OIX1rGXVkqZumRlrWMkaVjLuExzkKEc4PvVvtof97PH95D3PGWzmdNvSMRU+raKVYkeVe8jB8XvYPvIdQo8+M1bkNrIi316NZ+uVswIre7YyWDiVUjjCeOUYxcowpXCUkHLNtr0UghX0BIP05FbRGwxi1pip9mZGjh5yuZ4ZS1CXw0kmK8cZrxxlonKcagleMRxm79iP2Tv2Y3qCVazrfRxres9iVeE08sHyYr57yERliPHyYcYqRxgvR69drAxT8vGp3w+I/k16ggF6c6voy62lP7+eFfn1rMhvoBC09gIqbZ1MAd4BfMrdPxl/f6WZvRB4C/DuWbZ/M7DL3a+Mv99mZpcC7wSqJzxXAt9y9/fF378vvuJ8JfDaxQ7MzE5bxGab5ntwZ3mS6yaGORiW2Vspsqtc5EA4+1J+PRhPLvTxpEI/earZPpH5DVjAC3pXsrtS4rbSGEfDqDRw2EOunjjB1RPRAdgay3FWvocnFvr5nwPrWdX5/VXSiC0LakTcCN25m6Ps9mGOMskBH+cxRpmsKfsEyGGcw0rOYRU5THFDZrWBPp7DZvYxxqOc4EScVCkRcjdHuduPgkMeYzMr2EQ/a62XNfSykgIDVuA8VtPboIPFDlRvvDlJI2LHg+EObvF7OMHIjPvP5FTWsqrj40OBPGtZxVqiHgeOM8o4I4wxzCgjjM1IrhzjBMf8BPfxcPz7n4umyNhKVjLAAP30Wx+99MS9R/LkyZEjR4AREGBx4T6J/xK/evX/PfG/kJAKIWUqlCkzSZFJioz5BCOMMeTDHGOI4wzP+h6NKAGykXUMMn2CstyfbR+9nMEWTmUTRzjGIY5NrQRUpsyj7OFR3wMOvfSwjtWstVWsZIAV9NNvvfTSSyH+N8qTIyCgQJ6c4sZ8lhU7GhE3gKj/R3EvI+X9HJl4iGKi/0dPsIq1ved0fPxIKgSDFIJBmCr0CgkJ47/32X+f0/73yVkPK/KbWJHfhFNhvHyUscphJivHp7YphiemKlYA+nJrWZHfSH9uLb25lRSCFeSsj5zlIU7AuleoeJFyOEEpHGMyHGayMsRE5Rjj5WMnTTmaS8UnGa9Mxo13d8x4LG/99OfX0ZdbE1XvBNFY8kEfuaA3mgZFHrMcATkwI9fE3k1tm0wxsx7gEuAvax66BnjWHE97Zvx40jeBN5pZwd1L8TYfnGWbK+sc4u7Fbrht27aT7it6yDuO7WbUw1meMbsb4ptIo40Ae4DvA/v718y6pHLi97itL1+mGFsWY1lxA+C28BDf8EXvhv3ADxa9tcj89s1x/2oKvDl48kmVK50SN5ZqifFmNsuKHRUP+a/wWiqcfMyxi+11DENa3c6FN2kZhvGs4CK22MaTHlPsaEjsWPYxx3BpP4+euAaYLxlw3zyPSevak/UAlmywsIVzVv7srNOlGh072jaZAmwAcsCBmvsPAJvneM7mObbPx/vbN882c+1z2V73uteltWuRhrsL+LP5NzmL9j4/Tyu2NJTihrSbf5j/4bNo77ixVEuJN8ui2CEd5iwUO5JSiR2KG9J+FizOOosGxI52TqZU1aZCbZb7Ftq+9v569zmb0xexzRrgqUT1TBPzblmfTcDV8dcvBg42cN9Z6tT3BZ3x3vqIAtM3Mx5Ho6QRWxbS6LjRCb9X8+nk99ct7+1lwCCdEzeWarnHHVkec8ylE3+HO+09tfP76bRjjqVaTuxohbjRzr+DjaD33/z339DY0c7JlMNAhZOzr5s4OUtbtX+O7cvAkQW2mWufs3L3xdRG7QHuqWe/i1EzB/KeRY6l5XXq+4KOem+dcHUordiyoEbHjQ76vZpVJ7+/Lnpvt3XSe1uCpcSbk2R5zDGXTvwd7rT31AHvpxOOOZZq2bGjFeJGB/wOLovef2bvv2Gxo23XqHL3InAr8Pyah57P3P9AN82y/QuAWxI9DebappsDtkjXSDG2iIjMsMR4IyJdTrFDpDW0c2UKwFXA58zsFqKTmTcBZwAfAzCz9wFb3f318fYfA95mZlcRLWH6TOCNzFyl56+BG8zsXcBXiEqQfxZ4dvpvR0RaRBqxRURkNvPGGxGROSh2iGSsrZMp7v4FM1sP/CGwhagM7SXuXm1WvoUoqFS3325mLyFaree3gL3A2939S4ltfmBmryHqsfmnwCPAq939h814TyKSvTRii4jIbBYRb0RETqLYIZK9tk6mALj7R4GPzvHYFbPc913g4gX2+e/AvzdifCLSntKILSIis5kv3oiIzEWxQyRbbdszRUREREREREQkC0qmiIiIiIiIiIjUQckUEREREREREZE6mLtnPQYRERERERERkbahyhQRERERERERkToomSIiIiIiIiIiUgclU0RERERERERE6qBkioiIiIiIiIhIHZRMERERERERERGpg5IpIiIiIiIiIiJ1UDJFRERERERERKQOSqaIiIiIiIiIiNRByRQRERERERERkToomSIiIiIiIiIiUgclU9qYmb3VzLab2YSZ3Wpmz1lg++fG202Y2aNm9uZmjbUe9bwvM7vczHyW2/nNHPNCzOwyM/uqme2Nx/fyRTynLX5ekr1OjQXQmfEAOj8m1Pv+2ulnJzN1Uvwxs3eb2Y/NbNjMDprZl83sCQs8p2V/d83svbOMa/8Cz2nZn4+0r06KE0vRqccyC+n0Yx1QMqVtmdmrgQ8Bfw5cBHwPuNrMzphj+7OBr8fbXQT8BfA3Zvaqpgx4kep9XwlPALYkbg+lOMylGADuBN62mI3b5ecl2evUWAAdHQ+g82NCXe8voR1+dhLrwPjzXOAjwDOA5wN54BozG1jEc1v1d/deZo7rKXNt2AY/H2lDHRgn6tLhxzIL6fRjHczdsx6DLIGZ/RC4zd3fkrhvG/Bld3/3LNv/FfBSd78gcd/HgKe5+zObMebFWML7uhy4Dljr7sebNMxlMTMHXuHuX55nm7b4eUn2OjUWQHfEA+j8mLDI93c5bfiz63adHH8AzGwjcBB4rrvfMMc2l9Oiv7tm9l7g5e5+4SK3b6ufj7SHTo8TC+mWY5mFdOqxjipT2pCZ9QCXANfUPHQN8Kw5nvbMWbb/JnCpmRUaO8KlWeL7qrrdzPaZ2bVm9tOpDLC5Wv7nJdnr1FgAigezaIufWwN04s+uI3Vy/ElYHf/36CK2bdXf3fPiEvvtZvavZnbOPNu2289HWlyXxIk56Vimbm33s1cypT1tAHLAgZr7DwCb53jO5jm2z8f7awVLeV/7gDcBrwJeCTwAXGtml6U1yCZph5+XZK9TYwEoHtRql5/bUnXyz65TdXL8wcwMuAr4vrvfM8+mrfy7+0Pg9cALgd8g+vf/gZmtn2P7tvn5SNvo6DixCDqWqU/b/ezzWQ9AlqV2jpbNct9C2892f9YW/b7c/QGiIFN1k5mdDrwTmLUkt420y89LstepsQAUD5La6edWly742XWyTo0/HwaeCjx7vo1a+XfX3a9OfHu3md0EPAL8KlGiaNan1Xzfqj8faS+dGicWS8cyi9dWP3tVprSnw0CFkzOamzg5m1e1f47ty8CRho5u6ZbyvmZzM3BeowaVkXb4eUn2OjUWgOJBrXb5uTVSp/zsOlXHxh8z+1vgpcBPu/ueJeyiJX933X0UuJu5x9YWPx9pKx0bJxZJxzL1abufvZIpbcjdi8CtRJ3mk54P/GCOp900y/YvAG5x91JjR7g0S3xfs7mIqESunbX8z0uy16mxABQPZtEWP7cG65SfXUfqxPhjkQ8TldY/z923L3FXLfm7a2a9wAXMPbaW/vlI++nEOFEPHcvUrf1+9u6uWxvegFcDReDXiD4YPwiMAGfGj78P+Gxi+7OBUaKyzgvi5xWBV2X9Xpb5vq4EXk6UrX1S/LgDr8z6vdS8r0HgwvjmwO/EX5/Rzj8v3bK/dWosWOJ7a4t4EI+1o2PCEt5f2/zsdJvxc+6o+AN8FDhOtETy5sStP7FN2/zuAh+I38vZwE8CXwVOtOvPR7f2vHVanGjC+2/ZmLKE997RxzrurmRKO9+AtwI7gEmirOdlicc+DVxfs/1zgdvi7bcDb876PSz3fQH/G3gYGCfqtv894CVZv4dZ3tPlcRCpvX263X9eumV/69RYUO97a5d4EI+1o2NCve+vnX52up30s+6Y+DPH76wDV8z1nlr5dxf4V2Av0cnIY8CXgCe2689Ht/a9dVKcSPv9t3JMWcL77uhjHXfH4kGLiIiIiIiIiMgiqGeKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkWkjZnZZWb2VTPba2ZuZi9P+fXeG79O8rY/zdcUkcZS3BCRpVDsEJF6NTtu1Lz2u+PX/FBar6Fkikh7GwDuBN7WxNe8F9iSuD2lia8tIsunuCEiS6HYISL1yiJuYGZPB94E3JXm6yiZIh3JzHaY2ZVZjyNt7n61u7/H3f9jtsfNrMfM3m9mj5nZqJn90MwuX+bLlt19f+J2aJn7E2kZ3RA7FDdEGqsb4gYodog0WjfEjizihpkNAv8E/AZwbDn7WoiSKVI3M/t0otyybGa7zOzvzGytmV0+S0lm7W3HAo9fP8frvrfmdQ+b2Q1mdqWZ9dZs/nTg44t8P50cyP4R+CngNcBTgX8DvmFm5y1jn+fFpXrbzexfzeycRgxUOp9iR9tQ3JCWobjRVhQ7pGUodrSNNOLGR4Cvufu3GzC+eeXTfgHpWN8A3kD0O/RE4B+ANcCvEpVhVv01sCretqoAlOKvnwV8CXgCcCK+rzjP694L/CxRInA9cDnwHuB/mtnl7j4MoCsXYGaPA14LnObue+O7P2BmLyL6efz+Enb7Q+D1wIPAKUT/9j8wsye5+5EGDFs6n2JHC1PckBaluNHiFDukRSl2tLA04oaZvQa4mChRlT531023um7Ap4Ev19z3/4Aji9m25vHLAQfWLOJ13wvcMcv95wOTwJ8l7tsBXFnz3F3xdnuBv4nvvz5+/albfP964F+APcAYcDfw2prXvR74G+D9wFFgP/Demm3WEGWcDwATwD3A/0g8/izgBmAc2B3vb2CJPxcHXp74/hfj+0ZqbiXgC/E2Z9W+/1luH57nNQfi9/2OrH8vdWv9m2LH1D5bJnYobujW6jfFjal9tkzciPel2KFbS98UO6b22TKxI+24AZwev4en1bz/D6X1e6bKFFm2uOTyRUxnb5vK3e83s6uBVxJlfWcws18AfoeofOxeYDPwtPjhVxI1Rfo48InE0/qAW4G/IspA/xzwOTN71N1/mNjuV4GrgJ8Engl82sxudPdvmVkAXA2sBF4HPEKUFa/E43oK8E3gD4A3AhuBD8e3ZGZ8qYL4tS6pvmbCSPzfx4ALFtjPsbkecPdRM7sbWE4pnnQpxY6WjB2KG9LSFDdaMm6AYoe0OMWOlowdjY4blwCbgFvNrPpYDrjMzN4G9Lp77essi5IpslT/w8xGiH5B++L73pHheO4HXjDHY2cQZWG/7e4loozvjwDc/aiZVYBhd59abs/dHwM+kNjH38YlZ79IVHZadZe7/3H89UPxH+rPAN8iKu/7CeACd38w3ubRxHN/D/hnd/9Q4vlvB75rZm9x94nFv/1Z3U7089nk7t+bbYP43+P+pb5APPfzAmDW/YvMQrEj0qqxQ3FDWpHiRqRV4wYodkhrUuyItGrsaHTcuJaTV/z6x/j5f9XoRAoomSJLdx3wFmAF8OvA44G/zXA8RlTmNZt/A64EHjWzbwBfB77q7uU5d2aWA/4/4NXAVqA3vo3WbFq73NY+oowowIXAnkRgqnUJcK6Z/UrN+wiAs4Ftc40vMc5B4NzEXWeb2YXAUXd/0Mz+Cfismf0uUcDaADwPuNvdv77Q/md5vQ8AXyUK8JuIMuurgM/Uuy/pWoodkcxih+KGtCHFjYiOORQ7pD6KHZGuOObwqBfNPTWvP0o0teue2Z+1PFrNR5Zq1N0fdve73P3tRH+4f5TheC4Ats/2gLvvJmoY9VtEc/0+CtxgZoV59ve7RKV27yf6g76QqMStp2a72lJBZ/rvanyBMQfA38f7rt6eRlS++sgCz626lCjw3B5/f1X89Z/E378B+CzRHNEHgP8iKvHbvcj91zqNaG7mA8B/EDXfeoa771zi/qT7KHZEsowdihvSbhQ3IjrmUOyQ+ih2RLrpmKOpVJkijfLHwNVm9nc+3Y25KczsfKI5kO+baxt3Hyf64/wvM/sIUbnXU4DbCX8TuQAAfRxJREFUiD6cczVPeQ7wFXf/fPwaAVHQWPDKTcJdwGlm9vg5sr23AU9y94fr2OcM7n49UXZ4rsdLRB8aDfngcPfXNGI/IgmKHSdLNXYobkgHUNw4mY45RBam2HGyjjrmmGX/l6ex3ypVpkhDxH8o97K0pe/qkTezzWZ2qpk9xcx+G/gucAfwf2d7gpldYWZvNLMnx82n/idRFrZ6ZWMHUWOirWa2Ib7vYeD5ZvYsM7uAKCO7uZ6Buvt3iTpff8nMnm9mZ5vZi+O5jBA1i3qmmX3EzC40s/PM7KVmlmX5oUhTKXacTLFDZH6KGydT3BBZmGLHyRQ7lkfJFGmkq4DfMLPTU3yNJxHN89tFtNTVLxFleJ/j7iNzPOc48BvAjUTZ158Bft7dj8SP/yHRsluPANX13v+UKBP7zfh19gNfXsJ4XwX8mKhM9T6iMrwcgLvfBTyXKIP8PaKStz+N359IN1HsOJlih8j8FDdOprghsjDFjpMpdiyRuc/VA0dERERERERERGqpMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqoGSKiIiIiIiIiEgdlEwREREREREREamDkikiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTpKWY2Uoze7+ZXWNmh8zMzey9i3zue+Ptq7eimW03s782szWJ7a6o2a5sZvvM7F/N7LxZ9nt9zfbJ246GvXkRqdtyYkbNfq6Kn/vfczx+VuLv/jWzPF6NPxvM7PJ5YsaM2xLesog0QYOORzYk7vt0fN+9Zpab5TluZh9u4FsQkRQ14vjDzF5kZl+Lnz9pZrvN7DNm9sRZtq09zymZ2S4z+4SZbZ5l+x1zHdNI4yiZIq1mPfAmoBf48hL38SLgmcDPxfv4beBqM7Oa7d4Qb/ezwIeBlwLfN7O1s+zz0Xjb2tsrljhGEWmMZccMMysAr4u/fZGZbV3gKX8eP2cut3FyrNgP3DjL/SLSmhpxPDKbJwJXNHB/IpKNZcUIM3s/cDXR+fhbgecDfww8HbjNzF45x1Or5zkvBv4V+DXg2gWOSyQl+awHIFJjJ7DW3atXdH59Cfu41d0Px19/y8zWA/8TeBbRyUzVPe5+S/z19fGVoj8GXg78Y80+x9395iWMRUTS1YiY8TJgI/A1oiTsrwJ/Mce2VxMdwLwZ+NvZNnD3E8CMeGFmk8BxxRGRttGI2FJrlCjZ+sdm9s/uPt6AfYpINpYcI8zstcDvAX/n7m9NPHSDmf0L8F3gc2Z2h7s/WvP05HnOt+PXfgPwbOC6pb4ZWRpVpkhL8ViDd1s9eTlzge2qiZVTGvz6IpKSBsWMNwJFooOR3cAbZqlkq/oO8E3gD8xs5TJfV0RaVErHIwDvArYC/yuFfYtIkywzRvwf4Bjwzln2O0pUVb8C+J1F7EvnLxlSMkW6wbnxfw8tsN3Z8X8fnO1BM8vPctPfkEgbM7PTgBcAX3H3Q8BniGLGZfM87V3ABqKrSiIii+buNwH/CbzLzNZlPR4RaS4z2wI8CbjG3cdm2yaOEweJpv4sZN7zF0mXTgSlE+XiRMcaM/sVonL83cD35thu0MxeCLwHuAH4r1n2+SSgNMvt42m9CRFpijcQfRZ+Kv7+HwAnqlaZlbvfCfwz8I7Zmr6JiCzg3cBK4PezHoiINN0Z8X+3L7Dd9sS2ScnznF8E3gL8i7vf1shByuKoZ4p0ov01398IvMndJ2rur+1dsA14mbuXZ9nnI8BJK3iwcLWLiLSoeCpPdWrPtwDcfbuZXQ+8yszeFvc/mc17gF8E/ojoQEZEZFHc/QEz+xTwNjP7G3fflfWYRKTlGNHFnVq15zk3EPV6kwyoMkU60c8SdcK+ENjg7s929/tm2e718XbPA/4euAD4lzn2OeHut8xy25nC+EWkOZ5HVB77b8Cq+CrPGuCLRHOVXzvXE919B/BR4NdnW1JdRGQB7wUqwJ9mPA4Raa5q8vTsebeKej3unuX+6nnOC4EvEU1LnrUhvqRPyRTpRHfGiY473f3IPNtti7e7zt3fDHySaFnUX2jSOEUkW9WpPO8gagRXvf1dzeNz+TNgjLlX/hERmZW77wM+BLzOzJ6a8XBEpEniv/17gReY2YrZtjGzZxI1lP3WLA9Xz3OuIaqQ/RbwJjN7elpjlrkpmSIy7X8TnUj9iRrLinQ2M1sLvIJoGuBPz3L7J+DpZvbkufYRJ2v/CvgF4CfSHrOIdJy/Ao4Cf5n1QESkqf4cWAt8oPYBMxsA/oboYs0H59tJvJrQbxFVuf1Z44cpC9EJYwsws8vM7KtmttfM3Mxevox9nWtmw2Z2vHEjbC4ze3FcHfLz8V1PNLNfiG8r4m0+ZWZlM1toueNFc/djwPuIpvv8cs3D/Wb2jNlujXp9kXotN3aY2Vnx82pvL0ppyKlYYsz4FaAP+Bt3v772RnSSAwtXp3wI2Au8uJHvSSQtihuLl/bxSNyT6c9R/JA2oNhxsqXGCHf/F6JEylvM7Ovx9s8xs18HfgQ8Bfif7v7oQmNw94eIFsR4gZk9u8FvURagBrStYQC4E/hHorlvS2JmBaKeH98DntWYoWXi74jmCVb9YnyDaH7hDiAX36zBr/23wNuAPzSzf3H3Snz/OcBNsz3BzApzNK0VSVtDYgfR/Nt7E98fXc6gMrCUmPFGomUHvzzbDt39bjO7magE/11zvbC7j5nZe9HKXtI+FDcWrxnHIx8F3s7C/RNEsqbYcbIlxwh3/z0z+w7RecfHgFVExyXfAX5xjn6Pc/ljol6Qf0LUD06axKLqIGkVZubAK9z9y4n7eohKt34FWAPcA7wrvnqafO5fAacC1wIfcvc1TRm0iGRuKbHDzM4iWnrvIne/o6kDFpHMKW6IyFIodohENM2nPfwj8FNES/M+lWjliW8kV5Aws+cRZUJ/K5MRikgrWjB2xP7LzA6a2Y1qwCzS9RQ3RGQpFDuk6yiZ0uLM7HFEy3P+ort/z90fcfcPAN8H3hBvsx74NHBFPP9WRLrcYmIHMEK0ks0vAC8hqmr7gpm9Losxi0i2FDdEZCkUO6RbqWdK67uYaI7dg2Yzptr1AtVlfz8B/LO739DksYlI61owdrj7YWZ2ir/FolVu/jfw+SaNU0Rah+KGiCyFYod0JSVTWl9AtNzVJfF/k0bi/z4PeKmZvTP+3oDAzMrAm9z9H5oyUhFpJYuJHbO5Gfj1tAYlIi1NcUNElkKxQ7qSkimt73aiDtCb3P17c2zzzHibqpcB7yJa0eexdIcnIi1qMbFjNhcB+9IZkoi0OMUNEVkKxQ7pSkqmtAAzGwTOTdx1tpldCBx19wfN7J+Az5rZ7xIFqw1E1Sh3u/vX3X1bzf4uBUJ3v6c570BEsrDc2GFmvwqU4sdC4OeJluiccylgEWlvihsishSKHSInUzKlNVwKXJf4/qr4v58BriBq3PQe4P8BW4nmHt4EfL15QxSRFtSI2PEe4EyistwHgV9zd81dFulcihsishSKHSI1zN2zHoOIiIiIiIiISNvQ0sgiIiIiIiIiInVQMkVEREREREREpA5KpoiIiIiIiIiI1EHJFBERERERERGROiiZIiIiIiIiIiJSByVTRERERERERETqkM96AN3MzNYDLwR2ABPZjkZk2fqAs4BvuvuRjMfSsRQ3pMMobjSJYod0GMWOJlDckA7U0NihZEq2Xgj8U9aDEGmwXwH+OetBdDDFDelEihvpU+yQTqTYkS7FDelUDYkdSqZkawfA5z//eS644IKMhyKyPNu2beN1r3sdxL/XkpodoLghnUFxo6l2gGKHdAbFjqbZAYob0jkaHTuUTMnWBMAFF1zAxRdfnPVYRBpFZaDpUtyQTqS4kT7FDulEih3pUtyQTtWQ2KEGtCIiIiIiIiIidVAyRURERERERESkDkqmiIiIiIiIiIjUQckUEREREREREZE6KJkiIiIiIiIiIlIHreYjTRGOHeD/b+++4yS7yjv/f56qzml6cpBG0ggJZTRCAiPAkoAVycaLwV4njIXx2oZlsRbn3bXXi4N2+WGBTbBs7CXarI0BYS0aECiDEhrFCZqce2L3pO7pVFXn98e5Nfd2T4eq7qq691Z9369XveZU9a26z/R0n7n11HOekxvYADiaFl1DpmN53CGJSKM63gd9L8Gpw5AbhaZW6F4CSy6EpWsg2xx3hCJS9OJTsPMleONPQXdv3NGISNo9+SQ8/jj84i/CsmVxRyMpp2SKVJVzjrE932Z873cAB8DYzrtpuegnaV79Fsws3gBFpDEU8rDpAXj6m3B01/THNbXC+VfDJa+Bl78eOntrFqKITPLVz8KXPuHH//K38PGvwsoL4o1JRNLrYx+D3/99P/7EJ+CRR+DCC+ONSVJNy3ykqsb3rmN87zqKiRTPMbb7HsYPPBBXWCLSSPr3wVduh3V3zpxIAV+psns9fP8z8De/BN/8n7DzR+AKNQlVRAJ9e+ArfxXeHzgCX/jL+OIRkXTbtw/+6I/C+3v3wh/8QXzxSF1QZYpUTf7kdsb23Hv2fqbnZeAchdM7ARjbdTfZhVeQ7VwVV4giUu92rYdv/TmMD4ePdS2GRedD+wK/pCc/DqODMDQAJ4/A2Bl/nCvA9if8bdFq+LGfhSvfCJlsPH8XkUbyzc9DYVIS89F18CsfgVX6JFlEynTnnTA2NvGxr38djhzRch+ZM1WmSFU4V2B0+79QrEjJLHg52d7LyC68nEzPxcFBBca2fy2+IEWkvu1aD9/8kzCR0r4Arvp38Iq3+qU8i1dD7wr/56or4NLXwfXvhFe8Dc67Elraw9ca2OcrW/7Pb8DWH4JzU51RRCqhUPCJE4BsE1zxSj92Dh67L764RCSdnPOJE4BMBtau9ePxcfia3ovI3CmZIlWRO7qewtABf6e5x1elBDILLoWmDgDyJ7eSP7k9jhBFpJ4d3eUrUvI5f3/Rap9EWTBL82sz6FoEF17nEyuX3QQ9S8OvHz8A3/oz+Nc/ghOHqha+SEPbtgFODvjxygvgkqvCrz35YDwxiUh6Pf+8X+YDsGYNvPrV4dce1Jwic6dkilScc47xfd87ez+78PIJjWbNsmR7Ljl7f2z/92san4jUubEzE5f2LFoNl73ef8JdDsv4qpWr3wxX3wo9kTLg3evhCx+EDZq/RCru6YfD8aoLoac33Mln0zMwdDqOqEQkrdatC8eXXQbLl0Nbm7//0EPnLikUKZGSKVJx+ZPbzlalWEsv1rr4nGOscxVk/SSW799IYfRELUMUkXr20D/4ChKAzkVw6Wt9YmQ+epb5JUKX3QQtvrKO8WFY95dw36fCChgRmb+N68NxcfeeFav9n4U8bH2x9jGJSHr98Ifh+OKL/VKf4i4+/f2wcWM8cUnqKZkiFZc7GE5Yme6Lptz+2CxDpvP84F6B3OEnaxSdiNS1/Rvg+aDxdabJb29cbkXKdMx8pcran4RlF4ePP38vfON/wNhIZc4j0sicg21BsqStAzq7/XhJZIneludrH5eIpJNz8PjjftzRAYsW+fHq1eExzzxT+7ikLiiZIhXlcsPkjj3n72SasY7p+xNkus4/O84dXT/tcSIiJSnk4f6/Ce9fuBbauyt/nqZmuORGfytWvOx+Br7+R0qoiMxX3x4YPOXHi5f7JCbAkhXhMVtfqH1cIpJOW7fCQNCD6fzzwzlleeQ9yvNK0MrcKJkiFZXrfwGcL3fPdKzCbPotRK2pA2vpBaAwdIDCGTVzFJF52PwQHPFbr9O5EFZcWt3zLbsYrnqT314ZfFXMt/5MS35E5iNadbI48manuxeaW4JjlEwRkRI99VQ4Pj/8IJcVkQStkikyR0qmSEXljjx9dmydq2Y93jrCiSzXrzXQIjJH+Rz88Cvh/YteOf8+KaXoWTYxobJ7/cTqGBEpz64t4XhRZCcts/D+wBE4faKmYYlISkUTJStXhuOuLujsDI9xrrZxSV1QMkUqxuVGyJ/Y6u9k285Wncwk0x5+6qRkiojM2eaH4GRQ3bZghb/VStdiuOKWMHnz/L3wwndrd36RerJ3WzjundTAfsGicLxnGyIis4omU5ZPaj9QvN/fD4cP1y4mqRtKpkjF5I9vCpf4tC+fsvHsZNbcCU0+K1w4tRM3PlTVGEWkDjkHT30tvL/6mtrH0LMMXvZj4f37/waO7al9HCJpt2e7/7OpGTq6Jn5tQSS5sntr7WISkXRyLkymdHT4apSoJUvC8TYlaKV8SqbMwsz+0MycmX0y7liSLte/4ezY2peV/LzM2WNdWNkiIlKq3c9A/14/7l7qExtxWHYxLA/6tORG/bbJhXw8sYik0fAQHN7vxwsWhY0ii6KVKXu31y4uEUmnQ4fg6FE/XrHi3DllUWROUTJF5kDJlBmY2auAXwfU6WwWzjnyJzb7O5bF2hbN/IQIaws/acqdeKnSoYlIvXv238LxqsvjiwN8r5b2Hj8+tA3W3x1rOCKpsndHOJ68xAegV8t8RKQMmzaF42VTfNCyODLPbNUHulI+JVOmYWZdwD8C/xE4Pofnnz/bDYjp49PKKwz14cb8VobWumjGXXwms9ZFgM8UqzJFRMpy8jDs+JEft3TAovNnPr7ask1+y+SiH34FTh+NLx6pKTO7yczuMbO+oKr1nbMcf0tw3ORbzFnBmBzYFY57Fp779dZ2aG3z4z4toxORWWzeHI6jS3qKoskUVabIHCiZMr3PAN92zn1/js/fV8JtXQXiTISzVSmAtS+d4chzWaYJa+0FwA0foTB6ooKRiUhd2/A9IOjAv/yS2uzgM5vuJeG2zOMj8MgXYg1HaqoTeB74UJnPuwxYGbk15lX9wb3huLt36mO6Fvg/jx2C0ZGqhyQiKRZNpiyd4v3JggWQCa4bVJkic9AUdwBJZGY/D7wSeFXcsaRF/kR43ZdpmyLzOwtrXYQb9QVA+ZM7yCy7vmKxiUidcoUgmQJgsOxlsYYzweprfQPa3BhsegBueBcsT1B8UhXOuXUEH5SU0oQ94ohz7sRczxtUu84m+dWwB3aH4+4FUx/T3Qv9wa4bB/fCRS+vdlQiklazVaZkMrBwod/NZ9cu37C2vLlbGlwCPsJLFjNbDfwV8B7n3Hw+8lhdwu1t84s2GZzLkz8ZNILLtJzdnacc1hqW8xZOqamciJRg3wY4dcSPe1dAa0e88UQ1t8L5kV2FHv1CbKFIKjxrZgfN7H4ze8Mcnl8f1bDRpTtd0yVTIo9rqY+IzOSloBdjR4e/TaW31/85NOSTKiJlUGXKua7Hf3qzPvKpUha4ycw+BLQ652bdnsE5t3+2Y8ws+Z8SlaAwuB/yPu9kbYvL/TTOPy+STMmf3DHDkSIigc0PhuOlF8cXx3RWXAp9m2HsDOx6Gg5ugZWXxR2VJMtBfKP79UAr8MvA/WZ2i3PukVgji0MxOdLRBU3TXKJGl//07a52RCKSVqdOwcGDfjxVVUrRgkiCdvfumY8VmUSVKee6H7gGWBu5PY1vRru2lERKo4kmP3wz2fJZphmau4GgmW1e66BFZAb5cdj6Az/ONMXfeHYqmSycf3V4/4n/G18skkjOuS3Ouc85555xzj3unPsg8G3gd8p8qfRXw54+CadP+PF0/VJAlSlSd8zsD83sR2Z22syOmNndZjZr5t3Mbjaz9WY2YmY7zew3axFvamyPVLovmuH9SbEyBWCP5hQpjypTJnHOnQY2RB8zsyGg3zm3YepnNbb8qTCZkmmdovt+iTKtvRTGTwOO/Om9NPVqHbSITGPPszAy6MeLzve76CTRsoth/wZfnbL9CejfB4tXxx2VJNsTwHvKeUJdVMMejvwVunqmPy66/OdIX/XiEamdm/EbX/wI/97sz4H7zOxK59zQVE8wszXAvcDn8PPF64DPmtlR59zXSzlp3fRamk50d55Skym7d1crGqlTCb36lLRwzlEoVqZY09nqkrmwloX4Zd1QOLULlEwRkels+UE4XnJBfHHMJpOFVZfD7mf8/ae/AW/5rXhjkqS7Dr/8p7EcPhCOO2dIprS2+eRpPjfxOSIp5Zx7a/S+mb0POIJvPTDdcr/fBPY6524P7m82sxvwVW0lJVMoXnTXq2gyJboF8mRKpsg8aJlPCZxzt0QmK4lwI/248dMAWGvvnPqlFBW3RwbIn949z8hEpG4V8r7KA/wSnwUr441nNssvCStnNj0Iw6fjjUeqxsy6zGytma0NHloT3L8g+PodZvalyPG3m9k7zexSM7vKzO4A3g18uvbRx+xIJDHSNcMHM2Zh5cqRA373DZH6Uiy/GpjhmBuB+yY99l3gBjNrrkpUaaPKFKkBJVNkXqJJD5vHEh/A7wJk/g1H4fTe+b2WiNSv/RthJEhILFyV3CU+RdnmcNvm3ChsmHz9K3XkBuDZ4AZwZzD+aHB/JRAtpWoBPg68ADwKvB74CefcN2oSbZJEl/nMVJkS/frYKBw/Vr2YRGrM/KeSdwI/mKW9wArg8KTHDuNXHZTaQTX9vZZmUmrPlK4uv0UywP5ZV0yKTJDwK1BJukI0mdLSO6/XMjOspQc3OoAbO0Fh7CSZlmm2RhSRxrX98XC8KCX9R1a83O/mA/D8OrjhXf4TdqkrzrmHgGn/YZ1zt026/zHgY9WNKiWiS3Zm6pkCEytXDu+HRUurE5NI7X0aeAU+sTqbyWVZNs3jUz+5HnotzWRH0IagqwtaWqY/zgy6u+HkSSVTpGyqTJF5yZ/adXZsFUh8RF9D1Skicg7nYMeTfmzmK1PSoL0Hepb78fEDsO/FeOMRSZpiMiWTgbaOmY+NVq4c1psfqQ9m9ingp4A3lJDoOISvTolaBuSA/iqEly6Dg3A4KNyZqSqlqCeYU44dgxHtKCqlUzJF5swVchQGg7m+qQPLzpD1LVG0uqUwqGSKiExy/ACcCHpzdi+DpvnPOzWz4pJwrKU+IhMVe6Z0RErup9MZqUzRjj6ScuZ9GngX8Ebn3K7ZngM8Dtw66bE3A08758YrHWPq7NwZjheW0IagJ5KgPaDG1lI6JVNkzgpnDoLLAfNf4lNkLeFklh/Up00iMkmxKgVg4XnxxTEXi1ZDMem89Qd+u2QRgTODMBT0QeosYVfAjq5wfOxQdWISqZ3P4Lc3/kXgtJmtCG7txQMmN68G7gIuNLM7zewKM/tV4P34HkxSbjKlOzLvaKmPlEHJFJmz6DKcaBJkXpo6wia0g/W9Y5uIzMGu9eE4LUt8ijJZWHKhH4+PwtbH4o1HJCmORnaCjiZKphNNuBxtvF2kpe58AL+Dz0P4bdGLt5+LHDOheXVQvfJ24BbgOeCPgA8750rdFrm+FfulgCpTpKqUTJE5yw9Gkym9FXlN34TWXyS50eO48cGKvK5IOczsJjO7x8z6zMyZ2TtnOf6W4LjJt8trFHJjGBuB/UGvkdZO34ckbZauCcebHogvDpEkmZBMKaEypa0jbOCsZIqknHPOprl9IXLMbc65WyY972Hn3Cudc63OuTXOubtqHXtizWeZjypTpAxKpsicVaUyBbDmsAmtlvpITDqB54EPlfm8y/CfHhVv2yocV2Pb/wLk/dJCelemczec7iXQGnzyvvd5GDoRazgiiVBuZUomA+2d5z5XRASUTJGa0dbIMieukKcwFDR9a+rEMpX7USpWpgAUhg7AQn24L7XlnFsHrANfLVWGI865E3M9r5mdX8Jh6d2mcL52PxuOe1fGF8d8mPmlPgc2giv43inX/WTcUYnEK5oQ6SwhmQK+guXMIJw6DmOj0NJandhEJH12BT18m5uhs3P246M9Uw4qQSulU2WKzElh+HCk+WxlS+2jr1cY1LpFSZVnzeygmd1vZm+Yw/P3lXBbV6lgU2fPc8HAYMHyOCOZn2LfFIAtj8YXh0hSHCtzmQ9MTLqoCa2IFBUKsHu3H/f2llbF2hWZT/q0Q5iUTskUmZNoc1hrrnDfguYuwE98hSGV2kkqHAR+HXg3fmvDLcD9ZnZTrFHVk8EBOLbbj7sWQVOKP4Xu6IW24A3j/g1a6iNyNJIMKWWZz+TjtNRHRIoOHYLRUT/u7S3tOU1N0B5snqTKFCmDlvnInBQivUwqXpliWWjuhPFBCmcO4Qq5ii4jEqk059wWfAKl6HEzWw38DvBIGS+1uoRjrqYRq1P2vRCOF6yIL45KMIPFF4RLfbY/Bte+Pe6oROLTHyRTsk2lL9dpj5Tu9x+ufEwikk7FJT5QejIF/FKf4WFfmeJcOvuySc2pMkXmpDAULr+pdDIFwJqDT21d3i8pEkmfJ4BLy3mCc27/bDfgSHXCTbi9z4fjNC/xKVocyZttezy+OESS4Fjw/3xHV+lvYKKVKUqmiEhRNJlSSvPZomLflNFROH68sjFJ3VIyRcrmnCNfTKZkWrBs5cvtzyZTIGx0K5Iu1+GX/0glFJMploHupfHGUgmdi6Clw4/3PgdjZ2INRyQ2ZwZheMiPO0poFFmkyhQRmUqxXwqUV5kS7ZuipT5SIiVTpGxu/BSMDwITd96ppIk7+iiZIrVlZl1mttbM1gYPrQnuXxB8/Q4z+1Lk+NvN7J1mdqmZXWVmd+D7p3y69tHXodNH4URwYdO9xC8FSDszWBRs3pTPwa718cYjEpdoIqS9xH4pMLEy5ZiSKSISmGsyJbqjj5rQSomUTJGyFQbDCabizWeneF0lUyQGNwDPBjeAO4PxR4P7K4ELIse3AB8HXgAeBV4P/IRz7hs1ibbe7XsxHPfU0c7QiyI7Ye94Kr44ROIUTYSoMkVE5qsSlSlKpkiJ6uDjPam1wplIv5Tm6lSmkG0DawKXm9CfRaQWnHMPUdxSauqv3zbp/seAj1U3qgY2IZlSB/1SinqWQaYJCjnY+RQU8pDJxh2VSG3NtTIlm4XWdhgdhoHGbCUlIlMoJlNaW6GtrfTnRStTDitBK6VRZYqUrTAUriOs2jIfM6zZX1S50eO43EhVziMiKbB/g//TMn6ZT73IZKF3pR8Pn4JD2+KNRyQO/XOsTIke338ECoXKxSQi6ZTPw969ftzbW96OPJ2R+efQoemPE4lQMkXKNmHZTVMZnyKVK9qE9owaQYk0pKETMBBsxd65qD76pUQtXBWOdz0dXxwicemPVJV0lHlNUaxkyefg5EDlYhKRdDp4EMbH/bicJT4wcZmPkilSIiVTpCzOFcLERlMHVsWS9GJlCkyshhGRBnJgYzjuqYNdfCbrjSRTdv4ovjhE4jIQXeZTZmVKe0fkdbTUR6ThRfulLFhQ3nOVTJE5UDJFyuJGjkHBZ3yr1i8lMGFHnzNqBCXSkIpLfKC+ms8WtXZAR68fH9oGZ07GGo5IzQ0cDcdtHdMfN5Vo8iX6OiLSmObafBagpQWam/1YyRQpkZIpUpYJ/VKaq7jEh4nJGlWmiDSoA5vCcXcdVqZA2DcFB3uenfFQkbpTXObT2uabypZjQjJFlSkiDW/PnnBcbjLFLKxOUQNaKZGSKVKWwpkwU1vtyhQyLZBpDs6rZIpIwxkfgSM7/Li9B5pb442nWs4mU4Ddz8QXh0itORcmQcpd4jP5OUqmiMh8KlMgTKYMDMDoaCUikjqnZIqUJZrUqHplSnRHn7GTuNyZqp5PRBLm4Fa/XTDUb1UKBFskB5/I73nWv8EUaQSnT0AuaBY5l2RKh5b5iEhEtDKl3J4pMLFvyhElaGV2SqZIWaKVKTTP4cKnTBOX+mj9okhD6Yss8anH5rNFmWzYD+b0MTh+IN54RGolupPPfCtT+vXGR6ThFStTmpuhvb3852t7ZCmTkilSMr+TTzCxNHVgVr2dfM6K7uijpT4ijeXA5nBcz5UpAAtWhGMt9ZFGMTDPZEpb5M2SlvmINLZCAfbu9ePeXt8DpVzRZIr6pkgJlEyRkrmRgZrt5FM0oTJFyRSRxuEc9AXJlKZWaKvNnBObaDJlz3OxhSFSUxOSKWXu5AO+qquYUFEyRaSxHT4c9jmZS78UmLjMR8kUKYGSKVKywnC0+Wz1l/j480QqU7Sjj0jjOH4ARk77cfeSuX3ClCadC6GpxY/3vxj2ihGpZ9E+J3OpTIk+7/gx9RsSaWTz7ZcCqkyRsimZIiWbsJNPU3Wbz541YUcfrV0UaRh90SU+S+KLo1bMoGe5H48MwtFd8cYjUgvHK5BMaQsqWnLjMHhy/jGJSDrNZ1vkIlWmSJmUTJGSFc5EJpUq7+RTNHFHnxO43HBNzisiMet7KRw3QjIFtNRHGs+EypQ5LPOZ/Dzt6CPSuCpdmaLdfKQESqZIySZUptQomTL5XKpOEWkQB4vJFIOuxbGGUjMLlofjfS/GF4dIrUSTH21zrUzR9sgiQmUqU7TMR8qkZMokZvYBM3vBzE4Ft8fN7G1xx5UEZytTsm1Ypql2J56wPbL6pojUvbEROLrbjzsWQLY51nBqpr0Hmtv8WH1TpBEUl/k0t0DTHK8ropUpx5VMEWlYlahMaYnMRUqmSAmUTDnXfuAPgBuC2wPAt8zsqlijipkbH4TcEADWVJvms0Wm7ZFFGsvhbeAKftwoS3wg6JuyzI/HhuHw9njjEam2YiXJXPulTH6uKlNEGlcxmZLNTux9Ug6z8LlKpkgJalhekA7OuXsmPfTfzOwDwGuAjaW+jpmdX8Jhy8qJLU5xLfGZfD4t8xFpAAe3hONGWeJT1LMc+vf68b4XYeVl8cYjUi1nBmHkjB/PJ5nSpsoUkYbnHOze7ccLFsxvB8DOTjhxAvr7YXwcmhukOlbmRMmUGZhZFvhZoBN4vMyn76t8RPEpnIk0YarRtshnZVrBmsDlVJki0ggORprPdjVQZQrAgkiOff8GePXPxBeLSDUdPxaO2+bYfBYmNaBVw0iRhnT8OAwO+vFcl/gURfumHDsGK1fO7/WkrmmZzxTM7BozGwRGgbuAn3bObYo5rFgVhqPbItd4mY8ZFvRNcaPHcbmRmp5fRGrs4Fb/Z6YJOnrijaXW2hdAU6sf798YLncSqTfRxMdcd/KBiVUtx/vn/joikl6V6JdSpB19pAxKpkxtC7AWv7Tnb4AvmtmVZb7G6hJuqWlsG61MqfUyH2DCVsxa6iNSxwYH4HRQqt+1GKzB/puK9k0ZHYSje2Y+XiStopUp81nm09QM2aDQWst8JIXM7CYzu8fM+szMmdk7Zzn+luC4ybfLaxRy8lRiJ58i7egjZdAynyk458aAYue/p83sVcBvAb9Rxmvsn+0YM0tPz5ThYDKxDGTban5+a+7CFWM5c5Bsz0U1j0FEauDQ1nDc3WD9Uop6lsFAsFJ0/4uwbE288YhUQzTxMZ9lPma+smXw1MQEjUh6dALPA58Hvl7G8y4DTkXuN242UZUpEhMlU0pjQGvcQcTFFfK4keACpakTm09TpzlSE1qRBtHIzWeLepaG4/0b4ZU/FV8sItUyoTJlHskUgLZOn0w5fQLGRqGlYS/ZJIWcc+uAdUC519hHnHMn5nreutoso5KVKdGdgJRMkVkomTKJmf0FfkLbB3QDPw/cArw1xrBi5UaOnV23b7VuPhvQ9sgiDULJFOhc6PvFFHK+Ca1z89uZQCSJotsYz2eZD0xMxpwcgKVqGCkN4VkzawM2AX/mnHuwzOfXz2YZ1apM0TIfmUWDLUYvyXLgy/i+KfcDPwa81Tn3vVijilFhONIvpSmGfinglxaZz/0VhlSZIlKXnIPD2/y4uQ1a5vlpdVpZJqxOGRqAk5rzpA5Vajefyc8faNyVDtIwDgK/DrwbeBfBexYzuynWqOK0d6//0wx65tm4Xst8pAyprUwxszXOuV2Vfl3n3Psr/Zppd7ZfCjFWppj5viljJ3Cj/bj8CBZD7xZJjmrNARKjEwdhJNjasGtxY1djdC/13w/wS3169Ul7JWjeSJDibj6WgdZ5/n8erUxRE1qpgiTNHc65LfgEStHjZrYa+B3gkTJeanUJx1xNsAQp0YqVKd3dkM3O77WUTJEypLkyZbuZPWhm7wlK3KRKojv5UONtkSeYsNRHZXeiOaDuRJvPNuoSn6Jo35QDG+OLo/5o3kiKYmVKW/v8E6cTkilqQitVkfS54wng0nKe4JzbP9sNSH424cwZOBokUee7xAegPTInaZmPzCLNyZRrgWeBvwQOmdnfmtmrY46pLrnoMp+YKlP8uSPJlKG+2OKQxNAcUG8OKplyVteS8GJOyZRK0ryRBPk8nOz34/n2S4FJy3yS/95PUinpc8d1+OU/jae4xAfm33wWIJOBjmBOUWWKzCK1yRTn3Abn3EeA84D3ASuAH5jZRjP7iJktnfkVpFRne6ZkWrBMc2xxWHP32bGa0IrmgDo0oTJlUXxxJEG2CTqD70H/Phg+HW88dULzRkKcOg4F39h+3v1SJr/Gif75v57IJNWcO8ysy8zWmtna4KE1wf0Lgq/fYWZfihx/u5m908wuNbOrzOwOfP+UT881hlSrZPPZouJSnyNHfD83kWmkNplS5JzLOee+CfwH4PeBlwEfB/ab2ZfMTAvN58HlR3BjJ4F4q1L8+aOVKUqmiKc5oE4U8nBkux+3dvoGtI2uO3Jt3rcpvjjqkOaNmEX7msx3W2SYWN2iZT5SRVWaO27AV708G9y/Mxh/NLi/ErggcnxLcM4XgEeB1wM/4Zz7xhzOnX7VTKaMjsJpfZgh00t9MsXMbjCzz+JL2z6Cn1xeBrwRnz3+VozhpV5hOHLBE2e/FJi4o48qUySgOaBO9O+D8VE/bvQlPkUT+qYomVJJ1Zo3zOwmM7vHzPrMzJnZO0t4zs1mtt7MRsxsp5n95lzOnSrRhEell/komSJVVI25wzn3kHPOprjdFnz9NufcLZHjP+acu8Q51+6cW+Sc+3Hn3L0V+OulUzSZUollPqDtkaVkad7N5yP4MrvLgHuB9wL3OueCulF2mdlvAC/FFGJdiDaftaZ4tyk1M6ylGzd63N9yw1hTe6wxSXw0B9QZLfE5V7eSKZVWg3mjE3ge+Dzw9RLiWRPE8TngPcDrgM+a2VHn3KzPT63o9sWVWOaTzUJLK4yNajcfqQpdcyRYNStTwC/1ubSs3r7SQFKbTAE+APwf4PPOuUPTHLMX0FbH8zCx+WzXDEfWhjV34UaPA746JdtzccwRSYw0B9STQ9vCsSpTvJZ2aO2C0UGfbMrnfC8VmY+qzhvOuXUE24haaTvU/Caw1zl3e3B/s5ndgN/itORkipmdX8Jhy0p9vaqr9DIf8EmZsVFVpki16JojqWqRTBGZRpqvym7FX4AUog+av3pZ7Zzb65wbA74YS3R1ojAclrbFXZkCQLQJ7VCfkimNTXNAPTkcSaZ0qjLlrO4lPpmSG4MjO2DlZXFHlHZJmzduBO6b9Nh3gfebWbNzbrzE19lX2bCqLJrwqERlCvikzKnjMHIGhocqs3xIJJS0uUOKismUjg5oaanMayqZIiVKc8+UHcCSKR5fBOyqcSx1K1E9U5i0o4+2R250mgPqRX4cjuz047ZuaKrQxVA90FKfSkvavLECmLwg/zD+w66p4qwPEypTKnRtob4pUl1JmzsEYHwcDhzw40pVpYCSKVKyNFemTFc/2wWM1DKQenY2mZJtwzLZeINByRSZQHNAvTi2xydUQEt8JuuOXLv3aSl+BSRx3pi876ZN8/hMVpdwzNUES5BiN6EypUK9zybv6LPqwsq8roiXxLlDDhwIt1mvVPNZUANaKVnqkilmdmcwdMBHzexM5MtZ4MeA52odVz1y44OQGwLAElCVAmDZFsi2Qn6U/FAfzrlS16VLndAcUIcm9EvREp8JOnsh0wSFnLZHnocEzxuH8NUpUcuAHNBf6os45/bPdoyZJa9nSlMzNFeoEi1amTKgT5KlMhI8dwhM7JfS01O511UyRUqUumQKcF3wpwHXAGORr43hu+h/vNZB1aPoEh9rTkC/lIA1d+Pyo5Abwo2dxFp74w5JaktzQL05pH4p07IMdC+Gk4fh9DE4dXTilslSqqTOG48D75j02JuBp8vol5I+xcqUSjWfhYnJlBMl56FEZpPUuUOgOtsiw8RkylHtECbTS10yxTn3BgAz+zzwW865UzGHVLcKkZ18ktAvpciae3Aj/kKsMHSAjJIpDUVzQB06vD0cqzLlXN1LfDIFoG+zkilzUKt5w8y6gEsiD60xs7XAgHNur5ndAZznnHtv8PW7gA8Fn35/Dt+Q9v3AL1QjvkQYG4XB4NtfqeazMDExo+2RpUJ0zZFw1djJB3wj2+Zm35NFlSkyg9Q2oHXOvU8TWnVNqExJUjKlJdo35UCMkUicNAfUidwYHA1697X3QLY53niSqCuSPOnbHF8cdaAG88YNwLPBDeDOYPzR4P5K4IJIPLuAtwO34JcK/BHwYedcydsip060X0old9yZ0IBWlSlSWbrmSKhqVaYAdHX5P9WAVmaQqsoUM/sGcJtz7lQwnpZz7l01CqtuuUhlijUnKJkSbUI7qGRKI6nVHGBmNwG/C1yPf/Pz0865u2d5zs34N05XAX3Ax5xzd801hoZxbLfvBwKqSpnOhCa0SqaUq5bXDs65h5i+USXOudumeOxh4JXzOW+qRKtGVJkiCab3HSlQrcoU8Et9jh+HgQFfodKsD3vkXKlKpgAnCbvbn4wzkEYwcVvkCnXbr4TmLnxRVYH80Kw996S+1GoO6MSvg/48MOsnxGa2BrgXX6b/HuB1wGfN7Ghdf8JcCYciS3w6tZPPlJpbfdXO8Ck4vMNX82j76HLo2iFJJlSmVDCZ0toOZuCctkaWStHckXTFZEpzM7RX+L3K5L4pq1ZV9vWlLqQqmeKce99UY6k851zYMyXbjln82yIXmWV8QmX8FO7MYVx+zO/yI3WvVnOAc24dwRaiJe4W9ZvAXufc7cH9zWZ2A/A7lJCMKTKz80s4LDk7clTCYe3kU5KuJT6ZUsj5HjPnXRl3RKmha4eEie60U8nKlEzGJ1RGzqgyRSpCc0fCFQqwd68f9/b6ZGolTd7RR8kUmUJqe6aYWbuZdUTuX2hmt5vZm+OMq1648UHIjwDJWuJTZC3F7c+c+qY0qITNATcC90167LvADWZWTl3ovhJu6+YdbZKc3cnHoHNhrKEk2oSlPi/FF0fKJWzeaEzVqkyJvt7xY75CRaRCNHck0JEjMDrqx5Ve4gMTkynqmyLTSG0yBfgW8F4AM+sFngJ+G/iWmX0gxrjqwoR+KU3J2Ra5KEymQGFQS30aVJLmgBXA5Hbvh/HVf0vOPVwAv1zl2G4/VvPZmalvSqUkad5oTBN6plT4w5pipUtuHAa1KkMqSnNH0lSzXwqcW5kiMoU0J1NeCTwajH8GOARciJ/oPhxXUPViYr+UJFemQH5wb4yRSIySNgdM/hjUpnl8JqtLuL1tfmEmyNFdUMj7sZb4zKxjAWSDlblKpsxH0uaNxlOLyhSAAS31kYrS3JE01dzJB5RMkZKkqmfKJB3A6WD8ZuAbzrmCmT2Bn9xkHiZsi5zEZT7N0cqUfTFGIjFK0hxwCF+dErUMyAEl79HpnJu1zMrM6qdnyqFovxQ1n52RZXzflJOHYLAfTh2FnqWzP08mS9K80Zgm9EypcMPICdsjH4MLL63s60sj09yRNNWuTClujQxa5iPTSnNlynbgnWa2GngLYb+CZYD2gZ8nN5LwZT6ZpmBXHygM9eEK4zFHJDFI0hzwOHDrpMfeDDztnNMP53TUfLY80aU+B9U3ZY6SNG80pmJlSms7ZCrc3L498uHPgN78SEVp7kgaVaZIAqQ5mfJR4OPAbuBJ59zjweNvBp6NK6h6EVamGCQwmQJgLUEW2uUpDKoJbQOq2hxgZl1mttbM1gYPrQnuXxB8/Q4z+1LkKXcBF5rZnWZ2hZn9KvD+ID6ZztltkQ061Hx2Vl2RZMoBLfWZI107xMm5cPlNpZf4wLmVKSKVo7kjaWpZmaJkikwjtct8nHP/amY/AFYCz0e+dD/wzXiiqg8TtkVuavdbESeQtSzABTv55E/vJttzUbwBSU1VeQ64AXgwcv/O4M8vArcF57wgEssuM3s78AngPwF9wIedcyVvi9xwxkfD5rPRfiAyPVWmzJuuHWI2eNI3h4WJVSSVEn1NbY8sFaS5I4GKyZRMBrq7K//6bW3+tQsFJVNkWqm+enXOHcL3Kog+9lRM4dQNN34K8n6rMUtg89kia+k9Oy6c3h1bHBKfas0BzrmHCBvITvX126Z47GF8gzopxdGd4Ap+rCU+pWluhbZuGDntl0jlxqCpJe6oUkfXDjGKNoWtRmWKGtBKFWnuSJhiMmXBArBpL9nmzswv9Tl9WskUmVZqkylm1gn8AfAm/HrFCeUTzrmL44irHrho89mELvGB4o4+GaBA/vSe2Q6XOqM5IOWizWc71Xy2ZN1LfDIln4MjO2DVFXFHlCqaN2IWTXC0aZmPpIfmjoQ5cQJOBa1qqrHEp6iryydTjh71FSqZZFbrS3xSm0wB/h64GfgycJDyth+VGZxd4gOQwJ18iswyWEsPbuwEbvgIbuw01lKFMj9JKs0BaXZIzWfnpHuJ31IaoO8lJVPKp3kjTtGlN9VY5tPc4pcM5nNa5iOVprkjSardfLao2IQ2n4f+fliqXfRkojQnU94G/IRz7odxB1JvJmyLnOBlPgDWuhA3dgKA/KmdNC25Nt6ApJY0B6RZcScfM+hU89mSRfum9Klvyhxo3ojThG2Rq1CZYuaX+gye0jIfqTTNHUlS7eazRZOb0CqZIpOkuVbpODAQdxD1KFqZkuRlPuCTKUX5Uzsr+tpufIj84D4KY6cr+rpSMZoD0mpsGPr3+XFHb+W3R61nHb2QCT4H6dOOPnOgeSNOA1WuTIEwSXP6BIyNVucc0og0dyRJrStTQH1TZEppTqb8EfBRM0v2u/0UchO2RW6PNZbZTEimnNxRkdcsDB9leOPfMvT47zP8zP/izBN/wPALn6Jw5tDsT5Za0hyQVkd2RJrPql9KWSwTfs9OH4XT6gtRJs0bcYpWplQrmTJhRx/9fkjFaO5IkrgqU0QmSfMyn98GXgYcNrPdwHj0i8457aoxB84VwmU+TR2J3Ra5yLKt0NQFuUEKp/fgciNYU9ucXy93/CVGNn0O8iMTHs+feIkzz36M9qs+QLb30vmGLZWhOSCtJjSfVb+UsnUvgVPBRV3fZrjsx+ONJ100b8Sp2rv5TH7dgSOw/LzqnEcajeaOJKlVZUo0mXJIH6rKudKcTLm7Gi9qZn8IvAu4HBgGHgN+3zm3pRrnSxo3dhIKY0Dy+6UUZdoWUxgcBArkT22nadHVc3qd/MntjGy8CwrB/4/ZVqxtCW5kAPLDkB9leONddFz3e2Q6llfuLyBzdXfcAcgcHdoajlWZUr7JfVOUTCnH3XEH0NCKyZSmZt8sthqilSnqmyKVc3fcAUhEMZliBj091TuPkikyi9QmU5xz/7NKL30z8BngR/jvz58D95nZlc65oSqdMzEmNJ9tTkclo7UtgkE/qeaPb5lTMqUwMsDwps+dTaRY+zKyi9dimSZcIUf+2LO4kaOQH2Hkpc/TvvZ3MfV5iFUV5wCptoNBMsUyvgeIlGdCMkV9U8qheSNmxWU+1VriM/m1taOPVIjmjoQpJlO6uyFbxetxJVNkFslewzELM+s1s18zszvMbFHw2CvNbM41nc65tzrnvuCc2+icex54H3ABcH2ZsZ0/2w2/T32iuOi2yCmpTLHW8JPt/PFNZT/fuQIjL30exgf967UtIbvklVjQ5NEyTWSXXHf2+1EY3Md438MViFzmqxpzgFTZyGk40efHnQshk+r/huLR3AZtwTbwh7dBbizeeFJG80ZMhof8DaqbTGmbtMxHpEI0dyTEmTNwJPjdrma/FFAyRWaV2qtYM3sFsBX4feB3gN7gSz8N3FHBUxV/S8vt4L2vhNu6CsVYMRN28mlOSTIl24K1+Ea0hTOHKIz0l/X88f3fp1DcCSjb7itSJvWKsUwT2cXhtstje+7F5c7ML3CZlxrOAVJJh7aHYy3xmbtidUo+5xv6Skk0b8SoFv1SQMt8pCqqOXeY2U1mdo+Z9ZmZM7N3lvCcm81svZmNmNlOM/vN+cSQKnv3huNq9ksBaG0NK1+UTJEppDaZAtwJfME5dykQ7Ra6DripEicwMwvO8wPn3IZKvGbSTdwWOR3JFABrD/d9z/W/WPLzCmcOM7b722fvZ5dci2WnXsedae3FOoMPH/LDjO1/YG7BSqVUfQ6QKjgUaT+lZMrcTe6bIqXSvBGXWuzkM/m1VZkilVPNuaMTeB74UCkHm9ka4F7gUeA64C+Avzazd88zjnSo1U4+4HuyFKtTlEyRKaS2ZwrwKuA3pnj8ALCiQuf4NPAK4PVzeO7qEo65moRVpxTOBBceloHs3HfFqbVM+zIKJ30fhtyx52g575ZZn+OcY2TbV8Hl/Gt0ryHTOvPOItkFl5Ib6gMc430P0bL632Ep+j7VmVrMAVJpB9V8tiK6wwSy75vy07GFkjKaN+IyoTKlmst82v0bIOdUmSKVVLW5wzm3juD9gP8cd1a/Cex1zt0e3N9sZjfgK2a+Xup5g5YDs0lcSwJ27w7H1a5MAZ9MOXkSjh2D8XFobq7+OSU10pxMGQGmat98GTDv/z3N7FPATwE3Oef2l/v8Up5jZomaoJzL40aO+TtNnaVO6MnQ3O17muSGKJzcTmH0JJnWmbPVucOPUzgZbNGabSez4OWznsaaOrDOVbihA5AbZvzQEyUlbqQqqjoHSJUUd/LJNkN7FTvw17uOBZBpgkIODpTfK6qBad6IS60qU8x835ThISVTpJKSNHfcCNw36bHvAu83s2bn3PgUz5nKvsqGVSO12ha5qFiZ4pzv1XKeWuRIKM3LfL4F/LGZFdODzswuAP4XZWRlJzPv0/jtkd/onNs1/1DTwY0MgMsD6VriAz6Tn+lYGdxz5I48NePxhbFTjO785tn72UVXl7w7T7Z7zdnxeN8jOOfKjlcqoipzgFTRYL+/AXQu8m96ZG4sEy71GeyHU3rTWCLNG3HpPxyOO6p8jVF8/RPHfF8hkflL0tyxAjg86bHD+A/Jl5x7eJ2JVqZUe5kPqAmtzCjNyZTfAZYCR4B24GFgO3Aa+G/zeN3PAO8BfhE4bWYrglv7PONNvInNZ9OxLXJUpjPMFI8fegznCtMeO7bjaxA0kLWOVWQiPVdmYy09WLAcyA0fpnBy+yzPkCqp1hwg1RJd4tOtJT7zNqFviqpTSqR5Iy79NapMib6+c3D8WHXPJY0iaXPH5E/ybJrHZ7K6hNvb5hdmFdSyZwpMTKb09VX/fJIqqV3m45w7BbzezN6A37Y4AzzjnPv+PF/6A8GfD016/H3AF+b52ok2sfls1wxHJpM1d2Kti3Gj/bjhI+T7X6RpybXnHDd+dD25o8/4O5lmsguvKPtcma7V5Ef9Bk/jhx4n23vpvGKX8lVxDpBqmdB8tv4/PKu6aN+UA5vh8pvjiyUlNG/EKFqZUvVkSuQapv8ILFE7HJmfhM0dhzi3T8syIAeUvKVlGlsSAGFlSldXbfqXdHeH44MHq38+SZVUJlPM71t7G34pzkX4LOwu4JCZmZvHugvnXMPWnbszkU+NUrIt8mSZnovIH/X/j4ztuZfs4msmbHNcGD7G6Navnr2fXXgVlm0t+zzWsQIGNoLLkTv2LC7/H9SItoaqOQdIFan5bGVFK1PUN2VWmjdiVuyZ0tzib9WkHX2kghI4dzwOvGPSY28Gni6jX0o6jY6G1SG16JcCSqbIjFK3zCfYrvjfgL8HzgNeBDYCF+IrR7457ZNlRoXh8FOjtPVMKbK2ZdDs+4MVhvYzfiDcvtiNDzKy8W8gP+yP7ViJne2zUuZ5LEumM3huYYzcsRfmF7iUTHNASrkCHAwqU5rboTV9SwkTp6kF2oMS5yM7YGxk5uMbmOaNmDkXLvOpdlUKTOzJ0j+5tYRI6Woxd5hZl5mtNbO1wUNrgvsXBF+/w8y+FHnKXcCFZnanmV1hZr8KvB/4+HxjSbx9kZ65tVjiA1rmIzNKY2XKbfj93N/knHsw+gUzeyNwt5m91zn3pameLNM7u8wn04xlq/ypUZWYGdlFV5I//AQAYzvvBjJk2pcyuvObuGLCqKnTN52dRwNM6zgPBv2knju6nublr55n9FKi29AckD4D+2HM9ylSv5QK6lkKwyd9surQFrjg3KWNAmjeiNeZQRgJfv9rkUxRZYpUzm1Uf+64AYi+9p3Bn18Mzr8SuKD4RefcLjN7O/AJ4D8BfcCHnXP130S71tsigypTZEapq0wBfgH4i8kTGoBz7gF8V+1fqnlUKefyY7jR40B6q1KKMq2LyHRfHNxzjO38OiMb7woTKdlWmpbegGXmt87SWhdCsLQnf3wTbnxoXq8nJdMckEYH1S+lKib0TdFSnxlo3ohTrbZFnuocx1SZIvNS9bnDOfeQc86muN0WfP0259wtk57zsHPulc65VufcGufcXfOJITXiSKZ0doa7DyqZIpOkMZnyCuA7M3x9HaCP5soUXeKT1n4pUZney8h0XXjuF5p7aFr2GqwCf8cJ2zG7Arl+LfWpEc0BadT3UjhWZUrlKJlSKs0bcToW2U602tsiw8Rkipb5yPxo7kiSWm+LDJDJ+IQKaJmPnCONy3wWce7e6lGHgYU1iqVuFM5Ed/JJfzLFL/e5CutciTtzGFwBa12EdSyf0JB23ufpWAGndwGQO/YszSturNhry7Q0B6TRhMoUJVMqpq0LmttgfAT6NkMhD5ls3FElkeaNOEWrQzpqsFtga5v/PSjklUyR+dLckSTRZMrCGn7bu7thcBAOHYJ8HrL6f1a8NFamZPFbf00nTzqTRLFyw+GnRtacvm2Rp5NpXUR24RVkF11FpnNlRRMpANbSG1nqswWXG67o68uUNAekzdgIHPVJRzp6IVuDrQwbhVlYnTI6BMf2xhtPcmneiNOEypQaXGOYhRUwSqbI/GjuSJJdu8JxrSpTIOybUijAYc0pEkrjL78BXzCz0Wm+Xv4+tzKxMqUOlvnUipmRaV9OYXCP3yZ5YBPNy66PO6x6pzkgbQ5v8w1SYeJ2vlIZPUthINjhYP8GWLYm3niSSfNGnPprXJkC0N4Fg6f8bWQY2tprc16pN5o7kqRYmdLVBc01/GAm2oT2wAFYtap255ZES2My5YslHKNu/GWa0DOlSVuWlsM6lsPgHgDy/c8rmVJ9mgPSpm9zOFbz2crrXhaO+zbBK98RXyzJpXkjTtHKlFo0oIWJSZv+w3DeRbU5r9QbzR1JMToa9iypVfPZop6ecHzgALzqVbU9vyRW6pIpzrn3xR1DvXHOUThT3DK4AzOtAyyHtS4CazpbmeIKeUw9C6pGc0AKTWg+q2RKxXUuDPtD7N8AzoU7DwigeSN2xcoUM2ir0Qc20Ua3xw4pmSJzorkjQfbsCce1TqZMrkwRCaSxZ4pUmBs9AYUxoD6az9aaWQZrD3oW5IfJn9web0AiSeJcWJmSbYH2npmPl/JlMmHflNPH4NSRmY8XqbViZUp7p/95rYXJlSkikm5x7ORTNLkyRSSgZIpQqNPms7WUaV9+dpwfeDHGSEQS5uQhOHPCj7sXq2KiWqJbJO/fGF8cIpONjcKJfj+u1RIfmJhMiS4zEpF0ijafreVOPjCxMmX//tqeWxJNyRShcEbJlPnylSn+TWKuf0O8wYgkyYFIv5ToG36prAWRvin7ldCVBIlWhXR2T39cpSmZIlJfosmUuHumiASUTJGwXwqAkilzYplmrNVnyd3I0YnfU5FGdiBSJaFkSvV0LQmrfvYroSsJcvRgOK7VTj6TzxWNQUTSaefOcFzrypTWVmhp8WNVpkiEkimCi1amqGfKnFl7+MlwbkBl9iJAZCcf88t8pDqyTdAVfH8H9sPgQLzxiBRFq0JqmUxp6wALLnOVTBFJv2hlSq17ppiF1Sn79vl+cCIomSJElvlkWrBsS7zBpFgmkkzJK5kiAqNDcHS3H3f2QrY5zmjqX090qY+qUyQhjvSF41ou88lkwh4tSqaIpF8xmdLTA9kYds0sJnCGh6G/v/bnl0RSMqXBufFB3PhpQP1S5q2pE7LtAORPbsPlRmIOSCRmfZuB4NMbLfGpvmgyZZ/6pkhCxLXMB6AzON+p4zCq/5NFUuv06TCBUeslPkXRvin79sUTgySOkikNTs1nK8fMyBS3SHZ58ie2xBuQSNyiu8r0KJlSdd3LKDbCVhNaSYxjMSZT1IRWpD7E2Xy2KLq0SMkUCSiZ0uCiyRQ1n50/9U0RiZjQfHbZ9MdJZTQ1Q9ciPz62B4ZOxBpOozKzD5rZLjMbMbP1ZvbjMxx7i5m5KW6X1zLmqjoaXGdYxvcxqaWOyLKi6HIjEUmXOJvPFqkyRaagZEqDm1iZUsO1zHXKWhdT/LXKD2zEqUGVNKr8OBwMqrNaO6G1xm+iGlXP8nCs6pSaM7OfAz4J/DlwHfAosM7MLpjlqZcBKyO3bVUMs7aOBNuIdnb5Pia11Bnd0UfJFJHUSkIyJVqZsndvPDFI4iiZ0uAKQ2H5rZb5zJ9lslib/2TYjZ2gcEYXb9KgDm2D3Jgf96gqpWYWRJIpe5+PL47G9RHgH5xzf++c2+ycux3YB3xglucdcc4ditzy5ZzUzM6f7QbU/hdx6LS/AXT2zHxsNUTPqcoUkfTasSMcJyGZsmdPPDFI4jTFHYDE6+yb/UyLv8m8Wfsy3MgxAPIDm8h2nhdzRCIxiO4mo2RK7fQs9Vs4OqdkSo2ZWQtwPfC/Jn3pPuC1szz9WTNrAzYBf+ace7DM0yez5rxYlQK13clnqnNGYxGRdIlWpixaFE8MSqbIFFSZ0sDc+CBu7BTgq1LMLOaI6kOmLWy0qb4p0rCiu8komVI72WboWuzHA/vh9LF442ksS4AscHjS44eBFdM85yDw68C7gXcBW4D7zeymagVZU4eTlExRZYpIahWTKc3N0BHTsuGmJugKqvh3744nBkkcVaY0sIlLfNQvpVKsuROaOiB3hsKpHbjcMNbUHndYIrVTyIc7+TS3QZvml5pasCJMoux9Hq56U7zxNJ7JzbJsisf8gc5twSdQih43s9XA7wCPlHHO1SUcczWwrozXnL9oAiOOZEpLKzS3wPjYxMSOiKRHPh8mLxYu9NWXcenthcFBOHQIhoehXdf3jU6VKQ2scCayXaH6pVRUprirjyuQP7453mBkTrQjxzwc2gbjw368YHm8Fz6NaEGkCGLPs/HF0XiOAXnOrUJZxrnVKjN5Ari0nBM75/bPdgOOlPOaFRH3Mp/oeY8dgkIhnhhEZO7274exoAdbXEt8iqLbMqsJraBkSkPLD4UXOapMqSzTUp9Ui2tHjsQ2kSzXvhfCcXR3GamN7iWQyfrxnud8/xSpOufcGLAeuHXSl24FHivjpa7DL/9JvwnLfGJoQBs9b24cBmqfTxKRedq+PRzH1Xy2KJpM0VIfQct8GlphKCy/tRYlUyrJ2haBZcHlgy2SC5gpd5kiZ3fkCO7fbmZvwe/I8YczPO+Ic+7EPM6bzCaS5Yo2Pl2gZErNZbK+T82JgzDY73unLC5lFYhUwJ3Al83saeBxfD+UC4C7AMzsDuA859x7g/u3A7uBjUAL8B58/5R31zrwqji83/9pNnGb4lrqilzfHNoPS6ZrXyMiiRRNpiSpMmXXrtjCkOTQu7sG5ZwLkynZNizTHG9AdcYsi7UtAcCNn6ZwWqWAaRHZkeO+SV8qdUeOg2Z2v5m9oSoBJl1+POyX0tKufilxWbAyHO9+Jr44Goxz7p+B24E/Bp4DbgLe7pwrbv2wEp9cKWoBPg68gK+Aez3wE865b9Qo5Oo6GOSHO7rCaqlai1bEHKqPfLVIQ0lSMiVaGRPdrlkalipTGpQbHYD8CADWHFPpbZ3LtC8lP+yXyecGNpDtuSjegKRU89mRYz3QCvwyfkeOW5xz6W8iWY6DWyA36scLVqhfSlx6V0Dx7fvu9XD9v481nEbinPss8NlpvnbbpPsfAz5Wg7Bqb/AUDJ70464FMx9bTdFzFytlRCQ9kpRMiZ4/Gpc0LCVTGlQh2i9FS3yqwtrC1hb5gQ1w0U/GGI3MQc135AiaRM7IzJLdM2V3pOGplvjEp6MXmtt9I+B9L0BuDJpa4o5KGkm0CqQrxg9tulSZIpJqxaRFJgM9MX8A3NPj4ygUlEwRQMt8GlZhMHzPpsqU6rCmNqzFf28Lg/sojB6POSIpUWw7ctSF6O4x0aUmUltm0Bt8/8dH4YAaYUuNKZkiIvNVKMC2oJf/okU+kRGnTCZc6rNjhxq8i5IpjSofTaaoMqVqrD38ZD7f/2KMkUiptCPHPIwO+WU+AO090NoRbzyNbmEkmbXz6fjikMYUTVzEtZMPQHMLtLb58UElU0RSZd8+GA2WDi9eHG8sRcWlPsPDcLCxLvPkXEqmTMHMbjKze8ysz8ycmb0z7pgqrTBU7LCfhabOeIOpY5n2cEVGrv+FGY6UhLkT+DUz+1Uzu8LMPsGkHTnM7EvFg83sdjN7p5ldamZXBTt2vBv4dCzRx2Xv8+AKfqyqlPgtWIlfnQbsUjJFaqxvTzjujrFnCoR9U/oPw+hIvLGISOmKVSkQf7+UomgT2mh80pCUTJlaJ/A88KG4A6kGlxvGjfQDYM3dmBpEVk9zD2T9J2L5E1txueGYA5JSaEeOOdq1Phz3avvR2DW3QnfwSV7/XjhZzio1kXnqi+xi190bWxjnnF9LfSSBzOyDZrbLzEbMbL2Z/fgMx94SfNg7+XZ5LWOuia1bw3FSKlOWLAnHW7ZMf5w0BDWgnYJzbh3BbhlzTTSY2fklHBZLI8n8YHghUezpIdVhZmTal1MY3AMuT25gI83Lbog7LCmBduQok3N+1xgAy6j5bFIsPA9OH/PjHU/BK98RbzzSOA4GueeWtnCZTVyilTF9e+DCxmtnJcllZj8HfBL4IPBD4DeAdWZ2pXNu7wxPvQw4Fbl/tGpBxiXpyZSXXoovDkkEJVOqJ7EffRQGw3nZWmIuvW0A1rECBv1FZf7Yc0qmSH0a2B9WPvQshWxzvPGIt/A8v/wKYMeTSqZIbYyNwtGgl0DcS3xgYmVKdPmRSDJ8BPgH59zfB/dvN7O3AB8A/nCG5x1xzp2Y60mT/MHvWdFkhZIpkkBKpjSgwuloZUoCLnLqnLUuhEwzFMbJDWzE5cewrLYolTqz86lw3HtefHHIRB290NIBY2dg3/P+zxY1BpYqO7g33OUi7iU+MKkyZXdsYYhMZmYtwPXA/5r0pfuA187y9GfNrA3YBPyZc+7BMk+f2A9+zyomK1pboasr3liKurqgpQXGxpRMEfVMqaLVJdzeFkdg4TKfDDQnZGKqY2aZcFefwhj545viDUikGnb+KBwvXBVfHDKRGSwKklv53MS+NiLVcmB3OE5aZcoBVaZIoiwBssDkplaHgemajx0Efh3f6P5dwBbgfjO7qVpBxuLMGdgT/L4uWeL/P0sCs7A6ZfduH6c0LFWmVIlzbv9sx5hZzUvnXG4YN+zna2vpxkz5tFrIdKwkH+yglDv6DE1L1sYbkEgljQzC/g1+3Nrlt0WW5Fi0Gg4FOw5sexwum7avoUhl7N8ZjnsWTn9crbQGfVtGRybGJpIcbtJ9m+Ixf6BzW/AJlKLHzWw18DvAI2Wcc3UJx1xN0Eey5qL9UqJLa5Jg6VLo6/MVeJs3w/XXxx2RxETvpBtM/nT4iYy19MYXSIOxtsV+qQ+Q638Rlx+NOSKRCtr1NBTyfrzovOR8eiRez7Kwh83OpyA/Hm88Uv+SlkyBMI7+w3BmMN5YRELHgDznVqEs49xqlZk8AZTVWdk5t3+2G3CknNesqM2bw3HSkinLIp+Hv/hifHFI7JRMmYKZdZnZWjNbGzy0Jrh/wUzPS4PChGRKAkpvG4Rf6hP8P1kYI9eviVfqyI4nw/GiUvrZSU1lsr4RLcDoUNiQVqRa9kWTKb2xhTFBNKmzf1d8cYhEOOfGgPXArZO+dCvwWBkvdR1++U/92BRZFp+0ZMryyI6FL7wQXxwSOyVTpnYD8GxwA7gzGH80togqZEJlSmtvfIE0oExn2Ecid+RHMxwpkiK5Mb/lLvjqh+54G//LNBZHqrm3/CC+OKT+ORdWpnR0Q1NCdvaakEzRUh9JlDuBXzOzXzWzK8zsE8AFwF0AZnaHmX2peLCZ3W5m7zSzS83sKjO7A98/5dOxRF8tGzeG42UJu7aIJlNUmdLQ1DNlCs65h/BrFeuKc47CqeACwpqgqTPegBqMtS6CbBvkR8gf34QbO421dMcdlsj87A12iAFflZJRjj6ReldBpgkKOdj2GNz6IcjqEkCq4EQ/DJ7y46RUpcDEZMreHfHFITKJc+6fzWwx8MfASmAD8HbnXPET0JX45EpRC/Bx4DxgGNgI/IRz7t7aRV0DxWRKUxP09sYayjk6O6Gjwzefff55n0TWEueGpKveBuJG+nHjpwFflWL6pa8pMwurU1yB8aNPxxuQSCVs/WE4XlRKLzuJRbYpXOozclpLfaR6dkeaRvYuji+OyRYsCsd7t8cXh8gUnHOfdc5d5Jxrdc5d75x7JPK125xzt0Tuf8w5d4lzrt05t8g59+N1l0gZGYHtwe/p0qXJ+6DGDFau9OOjR2H/rPuOSJ1K2E+mVFP+VFjWaq0JaQjXYDKdYT+J3KHHcG7KRu0i6ZDPwbYgmZJpgt6V8cYjM1tyYTje/FBsYUid2xNJpkQTGHHr6gmrsaIxikjyvPQSFAp+nLQlPkUrI9c8T+sD0kalZEoDmZBM0U4+sbDmrrPf+8JQ34SGwCKps/c5vy0y+F18tGwk2RauCnf12fZDGNeuYlIFe7aF4yRVpphBb5DcObgXRobjjUdEpvd8pHpy6dL44pjJqrAXopIpjUvJlAZSOBmuEVZlSnwyXeFSiPGDj8YYicg8RasbFqd+s7P6l8mGjWjHhmHHE/HGI/Vpd0IrUwAWBMkd57TURyTJosmUFZN3jU6IaDLlySenP07qmpIpDcKND1I40wf4LZEto0+Q42IdK30DYCB3dD1ufCjmiETmYHwEtga7Nmabw34ckmxL14TjDd+PLw6pT4VCWJnS2Q3NLfHGM1m0Umb3lvjiEJGZPfdcOI7unJMkPT3QHWwk8cQTkMvFG4/EQsmUBpGfUJWSsE+KGoxlmsLeKYVxxg/9cOYniCTR9idgPCiTX7zaVz1I8vUsh5YOP979DAz2xxuP1Je+PTAcfECwMIGl+QuXhOOdm+OLQ0Sm51xYmdLV5W9JZAYXBFW5Q0MTq2mkYSiZ0iDyJ8KyWyVT4pfpDhtBjh94GFdQNltSJlrVsPTi+OKQ8pjBsuDfyxVUnSKVtWNTOF6UxGRKJKbtm6Y/TkTis28fDAz4cVKrUoouiCxxflRL9xuRkikNIn8iLGe1NiVT4mbNnVi7707uxk6QO/KjmCMSKcPpo7DnWT9u7YSehHbal6kte1k4fuE7PqkiUgnRZEoSK1Na26AjKMvfuTncLUREkiPazDXalySJLozskvfAA/HFIbFRMqUBFMZOUjhzECj2S2mOOSIByPSEb2jG9t2Hc/kYoxEpw4v3hW/Al13sqx0kPdq6YEHQ0O/kIdjzXKzhSB3ZvjEcJ7EyBcK4hof8siQRSZY0JVOWLYPOTj9+8EEYG4s3Hqk5JVMaQP74S2fH1pagbQobXKZ14dklV274CLkj2lZNUqCQ98mUomiVg6THikvD8bP3xBeH1I9CAba96MdtHdDeGW8804kmeba+EF8cIjK1NCVTzOBlwXXQ4CA89li88UjNKZnSAPIDYdmttakcP0kyC8I3NGO7v40rjMcYjUgJdjwFp4748cJVfpmPpM/C86Gl3Y+3PwknDsUbj6Rf324YPOXHS5Ynt2JtSWSb1ZfUMFIkUQoF+FGw9L2rK9wtJ8leFvlQ6d/+Lb44JBZKptQ55wrkjgcd660Ja+2NNR6ZKNO2GGvzuwu40X7G+x6JOSKRWTwTuVBY8fL44pD5yWQi/34Onrk7zmikHkQTE4sT3DQyGtsWJVNEEmXzZjhxwo/PPz+5SdmoSy/1/6cCfPObfjciaRhKptS5wqmdkPPbFFrbYsz0T5402d7Lzo7H9txLYexkjNGIzODITtj7nB+3dUNvwstvZWbLLwm3tH7huzB8Ot54JN02PxuOk5xMaWmFnoV+vGMTjI7EG4+IhH74w3C8enV8cZSjvR0uusiPd++euExJ6p7eWde5XP+LZ8eZ9gRf3DQwa1mAdZ7v7+RHGNvx9XgDEpnOjyI/mysvS8cnRjK95rZwm+TxEXhW5ckyDxuDNxBmE5fSJNHSlf7PfA5eei7WUEQkIo3JFIArrwzHX/pSfHFIzSmZUsecc+SOhSWsxa14JXmyvZdBsMtS7uj6Cf9uIolw8jBsfsiPm1rVeLZerLoSCJJi678Fo0OxhiMpdXIA9mzz40VLobkl3nhmsyxSVbfhR/HFISIh5+Chh/y4qQlWrow1nLJcdZWPGeCf/glGVPHWKJRMqWOFof24kaMAWOtiLJvwi5sGZtlWsgvDrPbItn+iMKrlPpIgT/zfcDvklS+HbFO88UhltHXB0jV+PHLaJ1REyrUhUta+7Lz44ihVNMYXn4ovDhEJ7doFe/f68erVYXIiDdra4Ior/HhgAL761XjjkZpRMqWO5Y6uPzu2jhRldxuUdazCikuxxgcZeenzOJePNygRgON9sOF7fpxt9kt8pH6cfzVnq1N+9K9w5kSc0UgaPRspzU9DMqWrBzp7/Hjjehg5E288IgL33x+O16yJL465evWrw/Gdd/qdiaTuKZlSp5wrkDtcLF01Mh3ql5J0ZkZ20TWQbQWgcHIbYzu+EXNUIsAPvgSFILG38nK/zEfqR3s3LA+WbY0Nw2P/FG88kj7rH/V/ZjKwPAXJFICVQT+G3Di8oOoUkdh997vhOI3JlPPP9zeADRv8zj5S95RMqVP5E1twYycAsLalWFZvftLAsi1kl7yS4qfE430PMXbgwXiDksZ2YDO89LAfN7XCqivijUeqY/U14c4+z30bju6ONRxJkQO74dA+P166Mvn9UopWXRiOn34kvjhEBMbGwmRKRwesSulugTfdFI7/23+D8fH4YpGaUDKlTuUOhiW3ma6UfEokAGRaF5JddPXZ+2M7/pXxQ4/HGJE0rEIe7v+b8P7qa6CpOb54pHpaOuC8q/zYFeD7nwl75IjM5PHvh+OVF05/XNKsWO0raQCe+L5vfiki8XjkERgc9ONLLgl/N9PmkkvCXYi2bIFPfSreeKTqUvqTKjMpjJ4k1x/sBpNpCftwSGpkulaT6bnk7P3Rrf/I+MHHYoxIGtKz/w8OBzt0dCyAFZfGG49U16orfENagP0b4PnvxBuPpMPj3wvHqy+OL45yNbfA8qAk/+hB2PpivPGINLKvfS0cv/zl8cUxX2bwlreE9//4j2H37tjCkepTMqUOjfc9dPYTxUzXasz0z5xGmQWXkum+KLjnGN32j4ztuw+nT8+kFo73waOfD+9f/GrQXFLfsk3+37noob/3Pwci0zl6EDY/68cLFkHPwnjjKdcF4YcWPHpvfHGINLJcDr7+dT9uaoJLU/7BzXnnwfXX+/HQEPzKr0BeG0rUK10Z1xmXG2b8YNAIDiPTlaKSW5nAzMj0XkGmO2zCNbbrW4xu+yqukIsxMql7+Rx8+2MwPurvL78UepbFG5PURu9KWBY0ox0f9j8Hea35lmk88K1wecyFKXwDdP7F4XKCB/7Nz30iUlvr1kF/vx+//OXQkpK+SzO59VZYsMCPH3kE/vRP441HqkbJlDozfuAByA0DYJ3nYU1tMUck8+ETKpeTWRCWPOYO/ZDhF/6KwuiJ+AKT+vbwP8DBLX7c1gUXXRdvPFJba66Htm4/PrgF7r8r3ngkmQoF+N7Xw/trLo8vlrlqa4fzLvLj40fhRw/HGo5IQ/r7vw/H114bXxyV1NoKP/3TftkPwEc/CvfcE29MUhVKptSRwthJxvYX92g3sj0vizUeqQwzI7vgErKLr6X4K1s4tZPhZ+4gN7Ap3uCk/rz4XVh/tx9bBi59PWTVdLahZJvh5a8Pl3U9f2/4MyFS9MwP/E4+4HuPdPXEGs6cXXxlOP63L8UXh0gj2rUL/t//8+Pubt/AtV5ceCG84Q1+7Bz84i/Cc8/FGpJUnpIpdWRs592Q92X5ma7VWHNnvAFJRWU6zyO7/DWQ9dVGbnyQkQ2fYXT713D5sZijk7qw/Qn47l+H99fcAN2L44tH4tO1CF72Y+H9B/4ONt4//fHSeL7+D+H4slfEF8d8nXcRdAXl+M8+Bts2xBqOSEO5805f5Qa+z0had/GZzutfD1cFO+UNDsJb3wrbt8cbk1RUnf3ENq7cwAZyR57yd6yJzIIUrl2WWWVae2la8XqsbenZx8b7HuLMM3eQP7Etxsgk9bY9Dv/25+F2uCsv0+49jW7ZxXB+cZt2B+vuhBe0w48ALz4FzwU7zHUtgPPWzHx8kpnBFWvD+1/+ZFyRiDSWPXvg7/7Oj5ub4VWvijeeajCDf//v4fxg57DDh321ypYt8cYlFaNkSh0ojJ5gdMuXz97PLrwCy7bGGJFUk2VbyC69gczCK8+W4bvhIwy/8ElGtnyFwtjpmCOUVHEOnrkHvvVnYfPFJRfBRdfHGpYkxOpXwIqgZ5MrwHf/Ch79AhS0M0HDyufhb/88vH/Nq9L/afLLroKOYFvwHz2cnt4pzsHYKAwPQa5KjaJrcQ5pTL/3ezAWVFa/+tXQ0RFvPNXS3OyX+CwLGvnv3w+vex08nJJ5RmbUFHcAMj8uN8zIxrtw44MAWNtSrPP8mKOSajMzst0XkWlbQr7/BdzYCQByhx8nd+w5Wi54C82rbsayddARXapndAi+9xnY/GD42JKL4NIbw6Zp0tjM/HIvy8DBl/xjT/wz9L0Eb/tt6Fk68/Ol/nzjH2BH0K9r4RK46LJ446mEbBbW3giPfc/f/9QfwWfuge4F8cYVlRuHl57zVUFbX4S92/3W1OORZb4dXbB0Jay6CC68xDcFXnMZrLrQb30+k+Eh2L3V33ZtgX074OBeGDgy8Ryd3b5HzprLfUXP2teGTXxFSvWNb8C//Isft7f75TD1rL0d3vte+PKXfXVKfz+88Y3w+78P//W/QldX3BHKHCmZkmJufJDhDXdRGNznH8i2k118LaY3QQ3DmrvILr+RwuAeCie2gstBfpixXXczfuBBmlffSvOK16pSSSZyDrY8Ag9+Dgb7w8dXXQkXrlUiRSYyg4teCa2dsPsZwMHe5+HzvwGvfQ9c95PQpMRtQ3jhSfjiJ8L7N9yc/qqUoosugx2b4fB+n6T42EfgT/529iRENY2NwvpH4dF18NSDMDRL5emZQdizzd8e/174eFMzrLwAlq2CBYugtc3/P3Bm0CdLDu2HY4dKi2noNOzc7G/3f9M/dt5F8No3w01vh5ddqf9DZGabN8Ov/mp4/61vhbYG2H20sxNuuw3+9V9hxw7fK+aOO/xSp/e+F97yFrj6alixwid4JRWUTEmp/KldjLz0edxI8EYo00zTslepEqEBna1S6VhJ/sQW3NB+ANzYScZ2/Ctje9bRvOK1NK98LZn2ZTFHK7HK52D74/Dkv8DhSAO0bDO87NW+KkVkKmaw6nLoXAjbfghjw/720OfgmW/BDe+Cq/+dT7hIfXrxKfiT3wiXA155vX9zXi/M4LW3wre/CmMj8PQj8Bcfht/9S7+Fcq3k8/57/dA98MPvwuCpqY9raobOHp8YyRjkcjA67JMdxYaeRblxX2myb0d5sbS0+mqXluI58jAy5M/hXHjcgd3wtb/zt9UXwy3v8LdVF5Z3Pql/mzbBm98MJ0/6+1ddBddcE29MtdTW5pf8PPooPPKI/13t74dPfMLfwCeoFy2CJUtg1Sq/w9G118KNN/o/55PALhR8A9xNm+DQIRgf97soXXSRf+2FCyvy1yzZ2Bhs3Ahbt8KxY35eWbzY/52vuSYVSTYlU6ZhZh8EfhdYCWwEbnfOPRpvVFA4c5ixffeRO/wkEPxHlmn1iZRmlYg1Msu20rT4FbjuNeRPbsUNH/ZfyA0xvv97jO//Hpnui2haspbsoqvIdKxUFdMMyp0DzOxm4E7gKqAP+Jhz7q5axDqj3Bj0bfYNZl96BM4cn/j13lVw8augTfOHlGDBclj7k75C5UjwxuzUEXjgLnj08/Cy18DLX+crnNq6Yw01LnUzdxSNjcI3Pw9f/qswkbLqQrj2NfHGVQ0dXb664oG7/ZuOx74H/+Vn4D//KVz5yuqdd3TEV/08cb+vKDl+7Nxjmlv88p2VF8Cylb7x71T/hxcKPtlx4hic6Pe3kwMweNInaqbS2gbdvb5qpXeJX761YNH0SaR8Ho4fhcMHoG8PHO0Lkyv7dvqflS//la9Sed2b4dVv8MuC6qWKqQrqbt6YrFCAL34Rfuu34HRQYbVyJbzjHY1XyZTJwM03+yqUhx/2yYRoArRQ8ImFY8fgpZfggQfCry1Z4it53vEOn5Tq7Z39fAcOwHe+A+vWwYMPwsDA9Mdec42vkHnHO+C1r4WmKqQKtm+He+6Be++FH/wARkamPq6lxSeQ3vY2H88VVyTyZ0XJlCmY2c8BnwQ+CPwQ+A1gnZld6ZzbW+JrlNK4ZNYyAZcfoTB4gPypHeT6N1A4NfFTBWvpJbvkOqyphp+aSKJZSzdNS6/HjZ0if2oX7kwfxcRb4fRuxk7vhl13Y83dZBa8jGzXajIdK8l0LMdaF6m6ifLnADNbA9wLfA54D/A64LNmdtQ59/Uyzjv/ecM5X32yfyMc3gYHt0Ju9NzjOhfCBdf6ZEoC/3OSBGtqgUte4xvT7n0eTvT5x8dH4aWH/Q2DpRf5Y5au8QmW7iVxRl0TqZ47onLjfsnLkw/Aff8K/YfDr628AH78bfX7xnj5eb6q4pF7/fdh91b47Z+Da17tH197o/8ezHXeHBv1vUj2bvfbMG9+1vdCmaq5a1MznH8xXPRyWLG6tNL/TMb3euleAKtfFj7unE/ajI0ESTHzjTHbOvx5ypHNwpIV/nbV9TAy7P8+u7f6xErRjk3+9qVP+uTM1a+Cy6/1iZULLoHFy+v356gMdTNvTOac37Hnnnvgb//WJw2KVq6EX/olaG3gZeiLF8O73uWTBTt2+KTHwIDfQvnMGRga8pUjUceOwVe+4m/ZrG/ce+ONvsLnvPP893NwEPbuheef98mKTZtKj+nFF/3t4x/3VSpveQu86U0+sXLZZXNbfnToEDz5JDz0kE/olLqT0diYTzY9/DD8wR/AxRf7RNIb3gCveY3/+ybg+tVctExPADCzJ4FnnHMfiDy2GbjbOfeHJb5Gyd/Yr3zlK1xxxRXnPD666/+RP75h+idmmrHOVUD8P0iSYIVx3PARKMy3C7/RvOoWmpZeN2XCZfPmzbznPe8BeJ1z7rF5nixW5c4BZva/gZ9yzl0Reewu4Frn3I1lnHfe8wYvPeKX8cykeyl0LdHUIZUxfBqO75/5mNZO+Jk/O+dNWz3NG5DyuWPDj+Crn/VVDNPJZODSaxrjDfDgSV9lEZfexbB0VXU+Ga6m4SGfLBqd5tPmUjW3wNt+3ifu2s/d5aWe5o5Uzxv5vK92+Mu/9ImAXK60F7z+ep/Mk5mNjsLx4z6JMjhYuddtavJNb5uafGXIXF87mw3nqHy+9H//ydrawt2chof9ba6vc9ll8JGP+MqfKVR67lAyZRIzawHOAD/rnPtm5PG/AtY6524u8XX0jZVG9UvOuX+KO4i5msscYGaPAM86534r8thPA/8CdDjnSspkad6QBpbqeQM0d4jEJNVzh+YNkdhUZO5IWbq7JpYAWeDwpMcPAyvKeJ3VJRzTC7wC2A3MM4VfdcuAdcH4bcCRGGOpBP19Kq8NuAj4bgznrqS5zAErpjm+KXi9gyWeO63zRhJ+/pJO36Op1cu8AZo7ppLGn/s0xgyNF3e9zB31Om+k9eexkhr9e5DUv39F5w4lU6Y3OVtrUzw2/ZOdm6XmGYD9wAzreJJj0rrKDSX+/RJLf5+qSXWp7STlzgFTHT/V49O/QErnjQT9/CWWvkczqqd5AzR3nJXGn/s0xgwNG3c9zR11NW+k9eexkhr9e5Dwv3/F5o4GWPRatmNAnnOzwcs4NwssIvVnLnPAoWmOzwH9FY1ORJJKc4eIlEvzhkiKKZkyiXNuDFgP3DrpS7dSXxlwEZnCHOeAx6c4/s3A06WuXRaRdNPcISLl0rwhkm5KpkztTuDXzOxXzewKM/sEcAGQ3P3bRaSSZpwDzOwOM/tS5Pi7gAvN7M7g+F8F3g98vOaRi0icNHeISLk0b4iklHqmTME5989mthj4Y2Alfq3g251ze+KNTERqoYQ5YCX+Qqd4/C4zezvwCeA/AX3Ah51zX69t5CISJ80dIlIuzRsi6aWtkaUkQROhfcHd1QlrIlQ2/X1EKkc/f7PT90gaURp/7tMYMyhuSRb9u+p70Ch/fy3zEREREREREREpg5IpIiIiIiIiIiJl0DIfEREREREREZEyqDJFRERERERERKQMSqaIiIiIiIiIiJRByRQRERERERERkTIomSIiIiIiIiIiUgYlU0REREREREREyqBkioiIiIiIiIhIGZRMEREREREREREpg5IpIiIiIiIiIiJlUDJFRERERERERKQMSqaIiIiIiIiIiJRByRQRERERERERkTIomSIlMbMPmtkuMxsxs/Vm9uNxxzQXZvaHZvYjMzttZkfM7G4zuyzuuCol+Ps5M/tk3LFI/TCzm8zsHjPrC36+3lnCc24O5ooRM9tpZr9Zg1BjU+73yMxuCY6bfLu8RiGLVF0arx3mMt/FLa3XNmb2ATN7wcxOBbfHzextcccllZHG3/9KSeM8UklpnZPmQskUmZWZ/RzwSeDPgeuAR4F1ZnZBnHHN0c3AZ4DXALcCTcB9ZtYZa1QVYGavAn4deCHuWKTudALPAx8q5WAzWwPci58rrgP+AvhrM3t31SKMX1nfo4jLgJWR27YKxyUSixRfO8z1dzlOab222Q/8AXBDcHsA+JaZXRVrVDJvKf79r5Q0ziOVlNY5qWzmnIs7Bkk4M3sSeMY594HIY5uBu51zfxhfZPNnZkuBI8DNzrlH4o5nrsysC3gG+CDw34HnnHO3xxqU1CUzc8BPO+funuGY/w38lHPuishjdwHXOudurH6U8Srxe3QL8CCw0Dl3oiaBidRQPVw7lPK7nERpvrYxswHgd51z/xB3LDJ39fD7XylpnUcqKc1z0mxUmSIzMrMW4Hrgvklfug94be0jqrgFwZ8DsUYxf58Bvu2c+37cgYgAN3LunPFd4AYza44hniR71swOmtn9ZvaGuIMRqYQGuHZIutRd25hZ1sx+Hv+J/uNxxyNzp99/mULq5qRSNcUdgCTeEiALHJ70+GFgRe3DqRwzM+BO4AfOuQ1xxzNXwcXHK4FXxR2LSGAFU88ZTfg55WDNI0qeg/hleeuBVuCXgfvN7JZ6+9RGGlLdXjskXdqubczsGnzypA0YxH+CvyneqGSe9PsvZ6VtTiqXkilSqsnrwWyKx9Lm08ArgNfHHchcmdlq4K+ANzvnRuKORyRiqjljqscbknNuC7Al8tDjwe/z7wBKpki9qMdrh6RL27XNFmAt0Au8G/iimd2shEpd0O+/QPrmpLJomY/M5hiQ59xM8jLOzTinhpl9Cvgp4A3Ouf1xxzMP1+P/LdabWc7McvimTx8O7mfjDU8a1CGmnjNyQH/tw0mNJ4BL4w5CpALq8toh6dJ4beOcG3PObXfOPR300nge+K2445J50e+/AOmck8qlZIrMyDk3hi9Dv3XSl24FHqt9RPNj3qeBdwFvdM7tijumebofuAb/qU7x9jTwj8Ba51w+rsCkoT3OuXPGm4GnnXPjMcSTFtehJVBSB+rt2iHp6uzaxvBLHyWl9PsvdTYnzUjLfKQUdwJfNrOn8W+Sfh24ALgr1qjm5jPALwL/HjhtZsWs+Unn3HB8Yc2Nc+40MGH9oZkNAf31uC5R4hHsFnVJ5KE1ZrYWGHDO7TWzO4DznHPvDb5+F/AhM7sT+By+Ie37gV+oYdg1Ve73yMxuB3YDG4EW4D34Evd63j5aGksqrx1m+12OJ6pZpfLaxsz+AlgH7AO6gZ8HbgHeGmNYUhmp/P2vlJTOI5WUyjlpLrQ1spTEzD4I/B6wEv/m/b+ksUlisD3ZVN7nnPtCLWOpFjN7CG2NLBUU2cZ3si86524zsy8AFznnbok852bgE8BVQB/wv51zdXsRVe73yMx+D39xeR4wjE+q3OGcu7cW8YrUQhqvHWb7Xa5pMCVK67WNmf0D8Cb8z8dJ4AX8/xXfizUwqYg0/v5XShrnkUpK65w0F0qmiIiIiIiIiIiUQT1TRERERERERETKoGSKiIiIiIiIiEgZlEwRERERERERESmDkikiIiIiIiIiImVQMkVEREREREREpAxKpoiIiIiIiIiIlEHJFBERERERERGRMiiZIiIiIiIiIiJSBiVTRERERERERETKoGSKiIiIiIiIiEgZlEwRERERERERESmDkikiKWZmN5nZPWbWZ2bOzN5Z5fP9SXCe6O1QNc8pIpWleUNE5kJzh4iUq97nDSVTRNKtE3ge+FANz7kRWBm5XVPDc4vI/GneEJG50NwhIuWq63lDyRSpS2a228xujzuOanPOrXPO/Xfn3Dem+rqZtZjZx8zsgJkNmdmTZnbLPE+bc84dityOzvP1RBKjEeYOzRsildUI8wZo7hCptEaYO+p93lAyRcpmZl+IlE3lzGyvmf2NmS00s1umKK2afNs9y9cfmua8fzLpvMfM7BEzu93MWicd/irg70r8+9TzRPZ54HXAzwOvAL4GfMfMLp3Ha14alOrtMrP/a2YXVyJQqX+aO1JD84YkhuaNVNHcIYmhuSM1Uj1vNFXrhaXufQd4H/5n6Erg/wC9wK/gy6mK/groCY4tagbGg/Frga8DlwGngsfGZjjvRuDf4ROBi4FbgP8O/LKZ3eKcOw2gTy7AzF4G/AJwvnOuL3j442b2Vvy/x3+dw8s+CbwX2Aosx3/vHzOzq5xz/RUIW+qf5o4E07whCaV5I+E0d0hCae5IsLqYN5xzuulW1g34AnD3pMf+Eugv5dhJX78FcEBvCef9E+C5KR6/HBgF/izy2G7g9knP3Rsc1wf8dfD4Q8H5z96CxxcDXwX2A2eAF4FfmHTeh4C/Bj4GDACHgD+ZdEwvPuN8GBgBNgA/Gfn6a4FHgGFgX/B6nXP8d3HAOyP3fzZ4bHDSbRz45+CYiyb//ae4fXqGc3YGf++PxP1zqVvyb5o7zr5mYuYOzRu6Jf2meePsayZm3gheS3OHbom+ae44+5qJmTvqcd5QZYrMW1A69VbC7G1NOedeMrN1wLvw2ccJzOxngP+CLx/bCKwArg2+/C58U6S/Az4XeVobsB743/gM9E8AXzaznc65JyPH/QpwJ/BjwI3AF8zsh86575lZBlgHdAPvAXbgs+L5IK5rgO8CfwS8H1gKfDq4RTPjc5UJznV98ZwRg8GfB4ArZnmd49N9wTk3ZGYvAvMpxZMGpbkjkXOH5g1JNM0biZw3QHOHJJzmjkTOHamfN5RMkbn6STMbBLL4X2SAj8QYz0vAm6f52gX4jOT3nXPj+IzvUwDOuQEzywOnnXNnt81yzh0APh55jU8FJWc/iy8fK3rBOfc/g/E2M/sQ8Cbge/jyvlcDVzjntgbH7Iw893eBf3LOfTLy/A8DD5vZB5xzI6X/9af0LP7fZ5lz7tGpDgi+Hy/N9QTB2s8rgClfX2QKmju8pM4dmjckiTRveEmdN0BzhyST5g4vqXNH6ucNJVNkrh4EPgB0AL8GvBz4VIzxGL7MaypfA24HdprZd4B7gXucc7lpX8wsC/wB8HPAeUBrcBuadOgLk+4fBJYF47XA/sjENNn1wCVm9kuT/h4ZYA2webr4InF2AZdEHlpjZmuBAefcVjP7R+BLZvbb+AlrCfBG4EXn3L2zvf4U5/s4cA9+gl+Gz6z3AF8s97WkYWnu8GKbOzRvSApp3vB0zaG5Q8qjucPTNUeV5g3t5iNzNeSc2+6ce8E592H8L+7/iDGeK4BdU33BObcP3zDqP+HX+n0WeMTMmmd4vd/Gl9p9DP8LvRZf4tYy6bjJpYKO8PdqeJaYM8DfBq9dvF2LL0PbMctzi27ATzzPBvfvDMYfDe6/D/gSfo3oFuDf8CV++0p8/cnOx6/N3AJ8A9986zXOuT1zfD1pPJo7vDjnDs0bkjaaNzxdc2jukPJo7vB0zVGleUOVKVIp/xNYZ2Z/48JuzDVhZpfj10DeMd0xzrlh/C/nv5nZZ/DlYtcAz+B/ybKTnvLjwLecc18JzpHBTxqzfnIT8QJwvpm9fJps7zPAVc657WW85gTOuYfw2eHpvj6O/0+jIv9xOOd+vhKvIxKhueNcVZ07NG9IHdC8cS5dc4jMTnPHuXTNMQ+qTJGKCH5RNjK3LazK0WRmK8xslZldY2b/GXgYeA74/6Z6gpndZmbvN7Org+ZTv4zPwhYzlLuBm8zsPDNbEjy2HbjVzF5rZlfgM7IrygnUOfcwvvP1183sVjNbY2ZvC9Yygm8WdaOZfcbM1prZpWb2U2YWZ/mhSE1p7jiX5g6RmWneOJfmDZHZae44l+aO+VEyRSrpTuA/mtnqKp7jKvw6v734rb7+Az7D++POucFpnnMC+I/AD/HZ1zcB73DhXuN/jN92awdQ3O/9T/GZ2O8G5zkE3D2HeN8N/AhfbrYJX4aXBXDOvQDcjM8gP4ovefvT4O8n0kg0d5xLc4fIzDRvnEvzhsjsNHecS3PHHJlz0/XAERERERERERGRyVSZIiIiIiIiIiJSBiVTRERERERERETKoGSKiIiIiIiIiEgZlEwRERERERERESmDkikiIiIiIiIiImVQMkVEREREREREpAxKpoiIiIiIiIiIlEHJFBERERERERGRMiiZIiIiIiIiIiJSBiVTRERERERERETKoGSKiIiIiIiIiEgZlEwRERERERERESmDkikiIiIiIiIiImVQMkVEREREREREpAxKpoiIiIiIiIiIlEHJFBERERERERGRMiiZIiIiIiIiIiJSBiVTRERERERERETKoGSKiIiIiIiIiEgZlEwRERERERERESmDkikiIiIiIiIiImX4/wF7bvaTOyVpxAAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 1280x1280 with 12 Axes>"
       ]
@@ -2250,7 +2082,7 @@
     "plt.rc('font', size=FONTSIZE)\n",
     "\n",
     "reg_x = \"date_mean\"\n",
-    "reg_y = \"clade_rtt_dist\"\n",
+    "reg_y = \"population_rtt_dist\"\n",
     "#reg_y = \"root_rtt_dist\"\n",
     "reg_err = \"date_err\"\n",
     "\n",
@@ -2263,19 +2095,19 @@
     "i_row = 0\n",
     "i_col = 0\n",
     "\n",
-    "for clade in BRANCH_LIST:\n",
-    "\n",
-    "    df = copy.copy(metadata_df[metadata_df[\"branch_minor\"].isin(BRANCH_LIST[clade])])    \n",
+    "for population in colors_dict:\n",
+    "    if population == NO_DATA_CHAR: continue\n",
+    "    df = metadata_df[metadata_df[\"population\"] == population]  \n",
     "    \n",
     "    if len(df) == 0: continue\n",
-    "    print(\"Branch:\", clade)\n",
+    "    print(\"Population:\", population)\n",
     "    \n",
     "    # ----------------------------------------\n",
     "    # Setup axis\n",
     "    ax = axes[i_row][i_col]\n",
     "    \n",
     "    # Format axis\n",
-    "    ax.set_title(clade)\n",
+    "    ax.set_title(population)\n",
     "\n",
     "    if i_col == 0:\n",
     "        ax.set_ylabel(\"Density\")\n",
@@ -2292,8 +2124,8 @@
     "        \n",
     "    # Plot\n",
     "    \n",
-    "    dists = [float(d) for d in df[\"clade_rtt_dist\"]]\n",
-    "    color = df[\"branch_major_color\"][0]\n",
+    "    dists = [float(d) for d in df[\"population_rtt_dist\"]]\n",
+    "    color = df[\"population_color\"][0]\n",
     "\n",
     "    sns.kdeplot(\n",
     "        ax=ax,\n",
@@ -2313,7 +2145,7 @@
     "    else:\n",
     "        i_col += 1\n",
     "        \n",
-    "out_path = os.path.join(out_dir, \"rtt_dist_clades\")\n",
+    "out_path = os.path.join(out_dir, \"rtt_dist_populations\")\n",
     "plt.savefig(out_path + \".png\", bbox_inches=\"tight\")\n",
     "plt.savefig(out_path + \".svg\", bbox_inches=\"tight\")  "
    ]
@@ -2336,7 +2168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "id": "dimensional-number",
    "metadata": {},
    "outputs": [
@@ -2352,7 +2184,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Branch: All\n"
+      "Population: All\n"
      ]
     }
    ],
@@ -2369,7 +2201,7 @@
     "# ALL\n",
     "df = copy.deepcopy(metadata_df[(metadata_df[\"date_mean\"] != NO_DATA_CHAR)])\n",
     "label = \"All\"\n",
-    "print(\"Branch:\", label)\n",
+    "print(\"Population:\", label)\n",
     "color = \"grey\"\n",
     "x = list(float(n) for n in df[\"date_mean\"])\n",
     "y = list(df[\"root_rtt_dist\"])\n",
@@ -2387,12 +2219,12 @@
    "id": "reflected-chuck",
    "metadata": {},
    "source": [
-    "## Clade"
+    "## Population"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "id": "pediatric-customs",
    "metadata": {},
    "outputs": [
@@ -2400,31 +2232,70 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Branch: 1.PRE\n"
+      "Population: 0.PRE\n",
+      "Population: 0.PRE\n",
+      "Population: 0.PE\n",
+      "Population: 0.PE\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ktmeaton/miniconda3/envs/plague-phylogeography/lib/python3.7/site-packages/pandas/core/frame.py:3997: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  errors=errors,\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Population: 0.ANT\n",
+      "Population: 0.ANT\n",
+      "Population: 0.ANT4\n",
+      "Population: 0.ANT4\n",
+      "Population: 3.ANT\n",
+      "Population: 3.ANT\n",
+      "Population: 4.ANT\n",
+      "Population: 4.ANT\n",
+      "Population: 2.ANT\n",
+      "Population: 2.ANT\n",
+      "Population: 2.MED\n",
+      "Population: 2.MED\n",
+      "Population: 1.PRE\n",
+      "Population: 1.PRE\n",
+      "Population: 1.ANT\n",
+      "Population: 1.ANT\n",
+      "Population: 1.IN\n",
+      "Population: 1.IN\n",
+      "Population: 1.ORI\n",
+      "Population: 1.ORI\n"
      ]
     }
    ],
    "source": [
-    "for label in BRANCH_LIST:\n",
-    "    #if label != \"1.ORI\": continue\n",
-    "    df = copy.copy(metadata_df[metadata_df[\"branch_minor\"].isin(BRANCH_LIST[label])])\n",
+    "for population in colors_dict:\n",
+    "    if population == NO_DATA_CHAR: continue\n",
+    "    df = metadata_df[metadata_df[\"population\"] == population]\n",
+    "    print(\"Population:\", population) \n",
+    "    if population == \"0.PE\":\n",
+    "        df.drop(\"SAMEA104488961\", inplace=True)\n",
     "    \n",
-    "    if len(df) == 0: continue\n",
-    "    print(\"Branch:\", label)    \n",
-    "    color = df[\"branch_major_color\"][0]\n",
+    "    if len(df) == 0: continue    \n",
+    "    color = df[\"population_color\"][0]\n",
     "    x = list(df[\"date_mean\"])\n",
-    "    y = list(df[\"clade_rtt_dist\"])\n",
+    "    y = list(df[\"population_rtt_dist\"])\n",
     "    #y = list(df[\"root_rtt_dist\"])\n",
     "    xerr=list(df[\"date_err\"])\n",
     "\n",
     "    bootstraps = linregress_bootstrap(x=x,y=y,xerr=xerr,nboots=NBOOTS, plot=False, color=color, label=label)\n",
-    "    bootstrap_mega_dict[label] = bootstraps\n",
-    "    bootstrap_mega_dict[label][\"samples\"] = list(df.index)\n",
-    "    if label == \"0.ANT4\":\n",
-    "           bootstrap_mega_dict[label][\"color\"] = colors_dict[\"0.ANT\"]\n",
-    "    else:\n",
-    "        bootstrap_mega_dict[label][\"color\"] = colors_dict[label]\n",
-    "    bootstrap_mega_dict[label][\"xerr\"] = xerr"
+    "    bootstrap_mega_dict[population] = bootstraps\n",
+    "    bootstrap_mega_dict[population][\"samples\"] = list(df.index)\n",
+    "    bootstrap_mega_dict[population][\"color\"] = colors_dict[population]\n",
+    "    bootstrap_mega_dict[population][\"xerr\"] = xerr"
    ]
   },
   {
@@ -2437,22 +2308,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "id": "invisible-earth",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Correct p_values, \"All\" is the first one\n",
-    "raw_p_values = [bootstrap_mega_dict[clade][\"p_value\"] for clade in bootstrap_mega_dict]\n",
+    "raw_p_values = [bootstrap_mega_dict[population][\"p_value\"] for population in bootstrap_mega_dict]\n",
     "\n",
     "reject, corrected_p_values, alphacSidak, alphacBonf = smmt.multipletests(raw_p_values, alpha = 0.05, method = \"holm\")\n",
     "\n",
     "i = 0\n",
-    "for clade in bootstrap_mega_dict:\n",
-    "    clade_p_value = corrected_p_values[i]\n",
-    "    clade_reject = reject[i]\n",
-    "    bootstrap_mega_dict[clade][\"corrected_p_value\"] = clade_p_value\n",
-    "    bootstrap_mega_dict[clade][\"reject\"] = clade_reject\n",
+    "for population in bootstrap_mega_dict:\n",
+    "    pop_p_value = corrected_p_values[i]\n",
+    "    pop_reject = reject[i]\n",
+    "    bootstrap_mega_dict[population][\"corrected_p_value\"] = pop_p_value\n",
+    "    bootstrap_mega_dict[population][\"reject\"] = pop_reject\n",
     "    i += 1"
    ]
   },
@@ -2466,7 +2337,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "id": "white-hungarian",
    "metadata": {},
    "outputs": [],
@@ -2477,7 +2348,7 @@
     "#print(bootstrap_mega_dict[\"All\"].keys())\n",
     "with open(out_path, \"w\") as outfile:\n",
     "    headers = \"{}\\t{}\\t{}\\t{}\\t{}\\t{}\\t{}\\t{}\\t{}\\t{}\\t{}\\t{}\\t{}\\t{}\".format(\n",
-    "        \"clade\",\n",
+    "        \"population\",\n",
     "        \"mean_rtt_dist\",\n",
     "        \"coefficient\",\n",
     "        \"raw_p_value\",\n",
@@ -2495,24 +2366,24 @@
     "    )\n",
     "    outfile.write(headers + \"\\n\")\n",
     "    \n",
-    "    # Clade Values\n",
-    "    for clade in bootstrap_mega_dict:\n",
+    "    # Population Values\n",
+    "    for population in bootstrap_mega_dict:\n",
     "        data = [\n",
-    "            clade, \n",
-    "            \"{:.2e}\".format(rtt_dist_dict[clade]),            \n",
-    "            round(bootstrap_mega_dict[clade][\"r_squared\"],2),\n",
-    "            \"{:.3e}\".format(bootstrap_mega_dict[clade][\"p_value\"]),\n",
-    "            bootstrap_mega_dict[clade][\"n\"],\n",
-    "            \"{:.3e}\".format(bootstrap_mega_dict[clade][\"corrected_p_value\"]),\n",
-    "            bootstrap_mega_dict[clade][\"reject\"],\n",
-    "            \"{:.2e}\".format(bootstrap_mega_dict[clade][\"slope\"]),\n",
-    "            \"{:.2e}\".format(bootstrap_mega_dict[clade][\"bootstrap_slope_peak\"]),\n",
-    "            \"{:.2e}\".format(bootstrap_mega_dict[clade][\"bootstrap_slope_ci\"][0]),\n",
-    "            \"{:.2e}\".format(bootstrap_mega_dict[clade][\"bootstrap_slope_ci\"][1]),\n",
-    "            round(bootstrap_mega_dict[clade][\"x_intercept\"]),\n",
-    "            round(bootstrap_mega_dict[clade][\"bootstrap_x_intercept_peak\"]),\n",
-    "            round(bootstrap_mega_dict[clade][\"bootstrap_x_intercept_ci\"][0]),\n",
-    "            round(bootstrap_mega_dict[clade][\"bootstrap_x_intercept_ci\"][1]),\n",
+    "            population, \n",
+    "            \"{:.2e}\".format(rtt_dist_dict[population]),            \n",
+    "            round(bootstrap_mega_dict[population][\"r_squared\"],2),\n",
+    "            \"{:.3e}\".format(bootstrap_mega_dict[population][\"p_value\"]),\n",
+    "            bootstrap_mega_dict[population][\"n\"],\n",
+    "            \"{:.3e}\".format(bootstrap_mega_dict[population][\"corrected_p_value\"]),\n",
+    "            bootstrap_mega_dict[population][\"reject\"],\n",
+    "            \"{:.2e}\".format(bootstrap_mega_dict[population][\"slope\"]),\n",
+    "            \"{:.2e}\".format(bootstrap_mega_dict[population][\"bootstrap_slope_peak\"]),\n",
+    "            \"{:.2e}\".format(bootstrap_mega_dict[population][\"bootstrap_slope_ci\"][0]),\n",
+    "            \"{:.2e}\".format(bootstrap_mega_dict[population][\"bootstrap_slope_ci\"][1]),\n",
+    "            round(bootstrap_mega_dict[population][\"x_intercept\"]),\n",
+    "            round(bootstrap_mega_dict[population][\"bootstrap_x_intercept_peak\"]),\n",
+    "            round(bootstrap_mega_dict[population][\"bootstrap_x_intercept_ci\"][0]),\n",
+    "            round(bootstrap_mega_dict[population][\"bootstrap_x_intercept_ci\"][1]),\n",
     "        ]\n",
     "        data_str = \"\\t\".join([str(d) for d in data])\n",
     "        outfile.write(data_str + \"\\n\")"
@@ -2528,7 +2399,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "id": "quality-thumbnail",
    "metadata": {},
    "outputs": [
@@ -2536,26 +2407,29 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Branch: 1.PRE\n",
-      "[1249.11189146 1330.20225269]\n"
+      "Population: 0.PRE\n",
+      "[-3026.31310324 -2798.55289846]\n",
+      "Population: 0.ANT4\n",
+      "[-262.00785886  140.74868623]\n",
+      "Population: 1.PRE\n",
+      "[1315.76001873 1378.82739559]\n"
      ]
     }
    ],
    "source": [
     "out_path_constraints = os.path.join(out_dir, \"temporal_constraints.txt\")\n",
     "with open(out_path_constraints, \"w\") as outfile:\n",
-    "    for label in BRANCH_LIST:\n",
-    "        if label not in bootstrap_mega_dict: continue\n",
-    "        #if label != \"1.ORI\": continue\n",
-    "        df = copy.copy(metadata_df[metadata_df[\"branch_minor\"].isin(BRANCH_LIST[label])])\n",
+    "    for population in colors_dict:\n",
+    "        if population == NO_DATA_CHAR: continue\n",
+    "        df = metadata_df[metadata_df[\"population\"] == population]\n",
     "        tips = list(df.index)\n",
     "\n",
-    "        clade_bootstraps = bootstrap_mega_dict[label]\n",
-    "        p_value = clade_bootstraps[\"corrected_p_value\"]\n",
+    "        population_bootstraps = bootstrap_mega_dict[population]\n",
+    "        p_value = population_bootstraps[\"corrected_p_value\"]\n",
     "        if p_value >= ALPHA: \n",
     "            continue\n",
-    "        print(\"Branch:\", label)\n",
-    "        mrca_ci = clade_bootstraps[\"bootstrap_x_intercept_ci\"]\n",
+    "        print(\"Population:\", population)\n",
+    "        mrca_ci = population_bootstraps[\"bootstrap_x_intercept_ci\"]\n",
     "        mrca_ci_bp = [\"-\" + str(CURRENT_YEAR - d) for d in mrca_ci]\n",
     "\n",
     "        # LSD mrca constraint format mrca(A,B,C) b(1998.21,2000.5)\n",
@@ -2581,13 +2455,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 21,
    "id": "anticipated-intranet",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 720x360 with 1 Axes>"
       ]
@@ -2609,7 +2483,7 @@
     "dates = [float(date) for date in metadata_df[\"date_mean\"]]\n",
     "dists = [float(dist) for dist in metadata_df[\"root_rtt_dist\"]]\n",
     "dates_err = [float(date) for date in metadata_df[\"date_err\"]]\n",
-    "color = [colors_dict[branch_major] for branch_major in metadata_df[\"branch_major\"]]\n",
+    "color = [colors_dict[population] for population in metadata_df[\"population\"]]\n",
     "\n",
     "\n",
     "p_sig = \"\"\n",
@@ -2624,20 +2498,20 @@
     "fig, axes = plt.subplots(1, figsize=FIGSIZE, dpi=DPI)\n",
     "ax = axes\n",
     "\n",
-    "# plot regression line of clades with strict clock signal\n",
-    "for clade in bootstrap_mega_dict:\n",
-    "    # Distance of clade root to phylogeny root\n",
-    "    #print(bootstrap_mega_dict[clade][\"samples\"])\n",
-    "    clade_root_node =  divtree.common_ancestor(bootstrap_mega_dict[clade][\"samples\"])\n",
-    "    clade_root_dist = divtree.distance(clade_root_node)\n",
+    "# plot regression line of populations with strict clock signal\n",
+    "for population in bootstrap_mega_dict:\n",
+    "    # Distance of population root to phylogeny root\n",
+    "    #print(bootstrap_mega_dict[population][\"samples\"])\n",
+    "    root_node =  divtree.common_ancestor(bootstrap_mega_dict[population][\"samples\"])\n",
+    "    root_dist = divtree.distance(root_node)\n",
     "    \n",
-    "    y_adjust = [y + clade_root_dist for y in bootstrap_mega_dict[clade][\"y\"]]\n",
+    "    y_adjust = [y + root_dist for y in bootstrap_mega_dict[population][\"y\"]]\n",
     "    \n",
-    "    linestyle = \"--\" if clade != \"All\" else \"-\"\n",
-    "    if bootstrap_mega_dict[clade][\"reject\"]:\n",
+    "    linestyle = \"--\" if population != \"All\" else \"-\"\n",
+    "    if bootstrap_mega_dict[population][\"reject\"]:\n",
     "        sns.regplot(\n",
     "            ax=ax,\n",
-    "            x=bootstrap_mega_dict[clade][\"x\"],\n",
+    "            x=bootstrap_mega_dict[population][\"x\"],\n",
     "            y=y_adjust,\n",
     "            ci=None,\n",
     "            scatter_kws={\"s\": 0},\n",
@@ -2677,17 +2551,17 @@
     "    bbox=dict(fc=\"w\", lw=0.5),\n",
     ")\n",
     "\n",
-    "# Clade legend\n",
-    "clades = list(colors_dict.keys())\n",
-    "clades.reverse()\n",
+    "# Population legend\n",
+    "populations = list(colors_dict.keys())\n",
+    "populations.remove(NO_DATA_CHAR)\n",
+    "populations.reverse()\n",
     "\n",
-    "clade_lines = [lines.Line2D([0], [0], color=colors_dict[clade], lw=0, markersize=5, markeredgecolor=\"black\", markeredgewidth=0.25, marker=\"o\") \n",
-    "                for clade in clades]\n",
-    "clade_labels = [clade for clade in clades]\n",
+    "population_lines = [lines.Line2D([0], [0], color=colors_dict[population], lw=0, markersize=5, markeredgecolor=\"black\", markeredgewidth=0.25, marker=\"o\") \n",
+    "                for population  in populations ]\n",
     "\n",
-    "clade_legend = fig.legend(clade_lines, \n",
-    "           clade_labels,\n",
-    "           #ncol=len(clade_labels),\n",
+    "population_legend = fig.legend(population_lines, \n",
+    "           populations,\n",
+    "           #ncol=len(populations),\n",
     "           ncol=1,\n",
     "           loc=\"center\", \n",
     "           bbox_to_anchor=(1, 0.5),\n",
@@ -2696,14 +2570,14 @@
     "           handletextpad=0.25, \n",
     "           labelspacing=0.5,\n",
     "           edgecolor=\"black\",\n",
-    "           title=\"Clade\",\n",
+    "           title=\"Population\",\n",
     "           fontsize=FONTSIZE,\n",
     "           title_fontsize=FONTSIZE,\n",
     "          )\n",
-    "clade_legend.get_frame().set_linewidth(1)\n",
+    "population_legend.get_frame().set_linewidth(1)\n",
     "\n",
     "\n",
-    "out_path = os.path.join(out_dir, \"rtt_all_branch_major\")\n",
+    "out_path = os.path.join(out_dir, \"rtt_all_population\")\n",
     "plt.savefig(out_path + \".png\", bbox_inches=\"tight\")\n",
     "plt.savefig(out_path + \".svg\", bbox_inches=\"tight\")"
    ]
@@ -2713,12 +2587,12 @@
    "id": "accessible-tender",
    "metadata": {},
    "source": [
-    "### Multiplot by Clade"
+    "### Multiplot by Population"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 22,
    "id": "gothic-custody",
    "metadata": {},
    "outputs": [
@@ -2726,12 +2600,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Branch: 1.PRE\n"
+      "Population: 0.PRE\n",
+      "Population: 0.PE\n",
+      "Population: 0.ANT\n",
+      "Population: 0.ANT4\n",
+      "Population: 3.ANT\n",
+      "Population: 4.ANT\n",
+      "Population: 2.ANT\n",
+      "Population: 2.MED\n",
+      "Population: 1.PRE\n",
+      "Population: 1.ANT\n",
+      "Population: 1.IN\n",
+      "Population: 1.ORI\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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       "text/plain": [
        "<Figure size 1280x1280 with 12 Axes>"
       ]
@@ -2752,7 +2637,7 @@
     "plt.rc('font', size=FONTSIZE)\n",
     "\n",
     "reg_x = \"date_mean\"\n",
-    "reg_y = \"clade_rtt_dist\"\n",
+    "reg_y = \"population_rtt_dist\"\n",
     "#reg_y = \"root_rtt_dist\"\n",
     "reg_err = \"date_err\"\n",
     "\n",
@@ -2765,46 +2650,48 @@
     "i_row = 0\n",
     "i_col = 0\n",
     "\n",
-    "for label in BRANCH_LIST:\n",
+    "for population in colors_dict:\n",
+    "    if population == NO_DATA_CHAR: continue\n",
+    "    df = metadata_df[metadata_df[\"population\"] == population]\n",
     "    \n",
     "    if label not in bootstrap_mega_dict: continue\n",
-    "    print(\"Branch:\", label)\n",
+    "    print(\"Population:\", population)\n",
     "    \n",
     "    # ----------------------------------------\n",
     "    # Setup axis\n",
     "    ax = axes[i_row][i_col]\n",
     "    \n",
     "    p_sig = \"\"\n",
-    "    if bootstrap_mega_dict[label][\"reject\"]:\n",
+    "    if bootstrap_mega_dict[population][\"reject\"]:\n",
     "        p_sig = \"*\"    \n",
-    "    corrected_p_value = bootstrap_mega_dict[label][\"corrected_p_value\"]\n",
+    "    corrected_p_value = bootstrap_mega_dict[population][\"corrected_p_value\"]\n",
     "    pretty_p_value = corrected_p_value\n",
     "    if pretty_p_value != 1:\n",
     "        pretty_p_value = \"{:.3e}\".format(corrected_p_value)\n",
     "\n",
     "    sns.regplot(\n",
     "        ax=ax, \n",
-    "        x=bootstrap_mega_dict[label][\"x\"],\n",
-    "        y=bootstrap_mega_dict[label][\"y\"], \n",
+    "        x=bootstrap_mega_dict[population][\"x\"],\n",
+    "        y=bootstrap_mega_dict[population][\"y\"], \n",
     "        ci=95,\n",
     "        scatter_kws={\"s\": 0},\n",
     "        line_kws={\"linewidth\" : 0.5},\n",
     "        color=\"grey\",\n",
     "        label=(\n",
-    "        \"      R²: {}\".format(round(bootstrap_mega_dict[label][\"r_squared\"],2))\n",
-    "        + \"\\n       p: {}{}\".format(pretty_p_value, p_sig)\n",
-    "        + \"\\n  Rate: {:.2}\".format(bootstrap_mega_dict[label][\"bootstrap_slope_peak\"])  \n",
-    "        + \"\\ntMRCA: {}\".format(round(bootstrap_mega_dict[label][\"bootstrap_x_intercept_peak\"]))                \n",
+    "        \"       R²: {}\".format(round(bootstrap_mega_dict[population][\"r_squared\"],2))\n",
+    "        + \"\\n        p: {}{}\".format(pretty_p_value, p_sig)\n",
+    "        + \"\\n   Rate: {:.2}\".format(bootstrap_mega_dict[population][\"bootstrap_slope_peak\"])  \n",
+    "        + \"\\ntMRCA: {}\".format(round(bootstrap_mega_dict[population][\"bootstrap_x_intercept_peak\"]))                \n",
     "        )\n",
     "    )\n",
     "    \n",
     "    ax.errorbar(\n",
-    "        x=bootstrap_mega_dict[label][\"x\"],\n",
-    "        y=bootstrap_mega_dict[label][\"y\"], \n",
-    "        xerr=bootstrap_mega_dict[label][\"xerr\"],       \n",
+    "        x=bootstrap_mega_dict[population][\"x\"],\n",
+    "        y=bootstrap_mega_dict[population][\"y\"], \n",
+    "        xerr=bootstrap_mega_dict[population][\"xerr\"],       \n",
     "        yerr=None,\n",
     "        ls='none',\n",
-    "        color = bootstrap_mega_dict[label][\"color\"],  \n",
+    "        color = bootstrap_mega_dict[population][\"color\"],  \n",
     "        capsize=1,\n",
     "        label=None,\n",
     "        zorder=1,\n",
@@ -2813,10 +2700,10 @@
     "    \n",
     "    sns.scatterplot(\n",
     "        ax=ax,\n",
-    "        x=bootstrap_mega_dict[label][\"x\"],\n",
-    "        y=bootstrap_mega_dict[label][\"y\"],  \n",
+    "        x=bootstrap_mega_dict[population][\"x\"],\n",
+    "        y=bootstrap_mega_dict[population][\"y\"],  \n",
     "        s=10,\n",
-    "        color = bootstrap_mega_dict[label][\"color\"], \n",
+    "        color = bootstrap_mega_dict[population][\"color\"], \n",
     "        ec = \"black\",\n",
     "        alpha=0.75,\n",
     "        zorder=2,\n",
@@ -2851,7 +2738,7 @@
     "    frame = legend.get_frame().set_linewidth(0.5)\n",
     "        \n",
     "    # Format axis\n",
-    "    ax.set_title(label)\n",
+    "    ax.set_title(population)\n",
     "\n",
     "    if i_col == 0:\n",
     "        ax.set_ylabel(\"Root to Tip Distance\")\n",
@@ -2871,7 +2758,8 @@
     "    else:\n",
     "        i_col += 1\n",
     "    \n",
-    "out_path = os.path.join(out_dir, \"rtt_regression_clades\")\n",
+    "    \n",
+    "out_path = os.path.join(out_dir, \"rtt_regression_population\")\n",
     "plt.savefig(out_path + \".png\", bbox_inches=\"tight\")\n",
     "plt.savefig(out_path + \".svg\", bbox_inches=\"tight\")"
    ]
@@ -2884,35 +2772,33 @@
     "### Rate"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "typical-bobby",
+   "metadata": {},
+   "source": [
+    "### tMRCA"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 23,
    "id": "starting-scientist",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['1.PRE']\n",
-      "/mnt/c/Users/ktmea/Projects/plague-phylogeography/results/iqtree/all/chromosome/full/filter30/filter-taxa/rate_boxplot_all\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 1280x360 with 1 Axes>"
+       "'colors_dict_copy = copy.copy(colors_dict)\\norder = list(colors_dict_copy.keys())\\n\\nif \"0.ANT\" in colors_dict:\\n    order.insert(3, \"0.ANT4\")\\n    order.insert(0, \"All\")\\n    colors_dict_copy[\"0.ANT4\"] = colors_dict[\"0.ANT\"]\\ncolors_dict_copy[\"All\"] = \"#c4c4c4\"\\n\\nviolin_dict = {\\n    \"label\" : [],\\n    \"rate\" : [],\\n}\\n\\nfor label in bootstrap_mega_dict: \\n    slope_kde = bootstrap_mega_dict[label][\"bootstrap_slope_kde\"]\\n    slope_ci = bootstrap_mega_dict[label][\"bootstrap_slope_ci\"]\\n    \\n    for rate in slope_kde.support: \\n        violin_dict[\"label\"].append(label)\\n        violin_dict[\"rate\"].append(rate)    \\n        \\n        # Filter slopes within confidence interval          \\n        #if rate >= slope_ci[0] and rate <= slope_ci[1]:\\n        #    violin_dict[\"label\"].append(label)\\n        #    violin_dict[\"rate\"].append(rate)\\n\\n# -------------------\\n# PLOT SETUP\\nTARGET_RES = [1280, 360]\\nDPI=200\\nFIGSIZE=[TARGET_RES[0] / DPI, TARGET_RES[1] / DPI]\\nfig, axes = plt.subplots(1, dpi=DPI, figsize=FIGSIZE)\\n            \\nax = axes\\nfor spine in ax.spines:\\n    ax.spines[spine].set_linewidth(0.5)\\nax.set_xlabel(\"Population\")\\nax.set_ylabel(\"Substition Rate (subs/site)\")\\n\\nprint(order)\\nsns.boxplot(\\n    ax=ax, \\n    x=violin_dict[\"label\"], \\n    y=violin_dict[\"rate\"], \\n    #inner=None, \\n    linewidth=0.50,\\n    width=0.75, \\n    order=order,\\n    palette=colors_dict_copy,\\n)\\n  \\n\\nout_path = os.path.join(out_dir, \"rate_boxplot_all\")\\nprint(out_path)\\nplt.savefig(out_path + \".png\", bbox_inches=\"tight\", dpi=400)\\nplt.savefig(out_path + \".svg\", bbox_inches=\"tight\")'"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "colors_dict_copy = copy.copy(colors_dict)\n",
+    "\"\"\"colors_dict_copy = copy.copy(colors_dict)\n",
     "order = list(colors_dict_copy.keys())\n",
     "\n",
     "if \"0.ANT\" in colors_dict:\n",
@@ -2949,7 +2835,7 @@
     "ax = axes\n",
     "for spine in ax.spines:\n",
     "    ax.spines[spine].set_linewidth(0.5)\n",
-    "ax.set_xlabel(\"Clade\")\n",
+    "ax.set_xlabel(\"Population\")\n",
     "ax.set_ylabel(\"Substition Rate (subs/site)\")\n",
     "\n",
     "print(order)\n",
@@ -2968,94 +2854,7 @@
     "out_path = os.path.join(out_dir, \"rate_boxplot_all\")\n",
     "print(out_path)\n",
     "plt.savefig(out_path + \".png\", bbox_inches=\"tight\", dpi=400)\n",
-    "plt.savefig(out_path + \".svg\", bbox_inches=\"tight\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "typical-bobby",
-   "metadata": {},
-   "source": [
-    "### tMRCA"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "weekly-mathematics",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['1.PRE']\n",
-      "/mnt/c/Users/ktmea/Projects/plague-phylogeography/results/iqtree/all/chromosome/full/filter30/filter-taxa/tmrca_boxplot_all\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1280x360 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "violin_dict = {\n",
-    "    \"label\" : [],\n",
-    "    \"tmrca\" : [],\n",
-    "}\n",
-    "\n",
-    "for label in bootstrap_mega_dict: \n",
-    "    tmrca_kde = bootstrap_mega_dict[label][\"bootstrap_x_intercept_kde\"]\n",
-    "    tmrca_ci = bootstrap_mega_dict[label][\"bootstrap_x_intercept_ci\"]\n",
-    "    \n",
-    "    for tmrca in tmrca_kde.support:\n",
-    "        \n",
-    "        #violin_dict[\"label\"].append(label)\n",
-    "        #violin_dict[\"tmrca\"].append(tmrca)\n",
-    "        \n",
-    "        # Filter slopes within confidence interval        \n",
-    "        if tmrca >= tmrca_ci[0] and tmrca <= tmrca_ci[1]:\n",
-    "            violin_dict[\"label\"].append(label)\n",
-    "            violin_dict[\"tmrca\"].append(tmrca)\n",
-    "\n",
-    "# -------------------\n",
-    "# PLOT SETUP\n",
-    "TARGET_RES = [1280, 360]\n",
-    "DPI=200\n",
-    "FIGSIZE=[TARGET_RES[0] / DPI, TARGET_RES[1] / DPI]\n",
-    "fig, axes = plt.subplots(1, dpi=DPI, figsize=FIGSIZE)\n",
-    "            \n",
-    "ax = axes\n",
-    "for spine in ax.spines:\n",
-    "    ax.spines[spine].set_linewidth(0.5)\n",
-    "ax.set_xlabel(\"Clade\")\n",
-    "ax.set_ylabel(\"tMRCA of Clade (Calendar Date)\")\n",
-    "\n",
-    "print(order)\n",
-    "sns.boxplot(\n",
-    "    ax=ax, \n",
-    "    x=violin_dict[\"label\"], \n",
-    "    y=violin_dict[\"tmrca\"], \n",
-    "    #inner=None, \n",
-    "    linewidth=0.50,\n",
-    "    width=0.75, \n",
-    "    order=order,\n",
-    "    palette=colors_dict_copy,\n",
-    ")\n",
-    "  \n",
-    "\n",
-    "out_path = os.path.join(out_dir, \"tmrca_boxplot_all\")\n",
-    "print(out_path)\n",
-    "plt.savefig(out_path + \".png\", bbox_inches=\"tight\", dpi=400)\n",
-    "plt.savefig(out_path + \".svg\", bbox_inches=\"tight\")"
+    "plt.savefig(out_path + \".svg\", bbox_inches=\"tight\")\"\"\""
    ]
   },
   {
@@ -3073,12 +2872,12 @@
    "id": "marine-anthropology",
    "metadata": {},
    "source": [
-    "## All Distance Matrices"
+    "## All x All Distance Matrix and Mantel Test"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 24,
    "id": "extended-crack",
    "metadata": {
     "scrolled": true
@@ -3088,62 +2887,113 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2.04%\n",
-      "4.08%\n",
-      "6.12%\n",
-      "8.16%\n",
-      "10.2%\n",
-      "12.24%\n",
-      "14.29%\n",
-      "16.33%\n",
-      "18.37%\n",
-      "20.41%\n",
-      "22.45%\n",
-      "24.49%\n",
-      "26.53%\n",
-      "28.57%\n",
-      "30.61%\n",
-      "32.65%\n",
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-      "36.73%\n",
-      "38.78%\n",
-      "40.82%\n",
-      "42.86%\n",
-      "44.9%\n",
-      "46.94%\n",
-      "48.98%\n",
-      "51.02%\n",
-      "53.06%\n",
-      "55.1%\n",
-      "57.14%\n",
-      "59.18%\n",
-      "61.22%\n",
-      "63.27%\n",
-      "65.31%\n",
-      "67.35%\n",
-      "69.39%\n",
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-      "73.47%\n",
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-      "87.76%\n",
-      "89.8%\n",
-      "91.84%\n",
-      "93.88%\n",
-      "95.92%\n",
-      "97.96%\n",
+      "1.16%\n",
+      "2.16%\n",
+      "3.16%\n",
+      "4.16%\n",
+      "5.16%\n",
+      "6.16%\n",
+      "7.15%\n",
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+      "10.15%\n",
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+      "25.12%\n",
+      "26.12%\n",
+      "27.12%\n",
+      "28.12%\n",
+      "29.12%\n",
+      "30.12%\n",
+      "31.11%\n",
+      "32.11%\n",
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+      "34.11%\n",
+      "35.11%\n",
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+      "42.1%\n",
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+      "48.09%\n",
+      "49.08%\n",
+      "50.08%\n",
+      "51.08%\n",
+      "52.08%\n",
+      "53.08%\n",
+      "54.08%\n",
+      "55.07%\n",
+      "56.07%\n",
+      "57.07%\n",
+      "58.07%\n",
+      "59.07%\n",
+      "60.07%\n",
+      "61.06%\n",
+      "62.06%\n",
+      "63.06%\n",
+      "64.06%\n",
+      "65.06%\n",
+      "66.06%\n",
+      "67.05%\n",
+      "68.05%\n",
+      "69.05%\n",
+      "70.05%\n",
+      "71.05%\n",
+      "72.05%\n",
+      "73.04%\n",
+      "74.04%\n",
+      "75.04%\n",
+      "76.04%\n",
+      "77.04%\n",
+      "78.04%\n",
+      "79.03%\n",
+      "80.03%\n",
+      "81.03%\n",
+      "82.03%\n",
+      "83.03%\n",
+      "84.03%\n",
+      "85.02%\n",
+      "86.02%\n",
+      "87.02%\n",
+      "88.02%\n",
+      "89.02%\n",
+      "90.02%\n",
+      "91.01%\n",
+      "92.01%\n",
+      "93.01%\n",
+      "94.01%\n",
+      "95.01%\n",
+      "96.01%\n",
+      "97.0%\n",
+      "98.0%\n",
+      "99.0%\n",
       "100%\n",
-      "{'coeff': 0.2739992063688123, 'p_value': 0.004, 'n': 49}\n"
+      "{'coeff': -0.04087208359641085, 'p_value': 0.139, 'n': 601}\n"
      ]
     }
    ],
    "source": [
-    "#NUM_SAMPLES = len(metadata_gdf.index)\n",
-    "NUM_SAMPLES = 200\n",
+    "NUM_SAMPLES = len(metadata_gdf.index)\n",
+    "#NUM_SAMPLES = 200\n",
     "\n",
     "gene_dist_mat = []\n",
     "geo_dist_mat = []\n",
@@ -3217,12 +3067,12 @@
    "id": "governing-indianapolis",
    "metadata": {},
    "source": [
-    "## Clade Distance Matrices and Mantel Test"
+    "## Within Clade Distance Matrices and Mantel Test"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 25,
    "id": "developing-yugoslavia",
    "metadata": {},
    "outputs": [
@@ -3230,20 +3080,31 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1.PRE\n"
+      "0.PRE\n",
+      "0.PE\n",
+      "0.ANT\n",
+      "0.ANT4\n",
+      "3.ANT\n",
+      "4.ANT\n",
+      "2.ANT\n",
+      "2.MED\n",
+      "1.PRE\n",
+      "1.ANT\n",
+      "1.IN\n",
+      "1.ORI\n"
      ]
     }
    ],
    "source": [
-    "clade_dist_dict = {}\n",
+    "population_dist_dict = {}\n",
     "\n",
-    "for clade in BRANCH_LIST:\n",
-    "    \n",
-    "    df = metadata_gdf[metadata_gdf[\"branch_minor\"].isin(BRANCH_LIST[clade])]  \n",
+    "for population in colors_dict:\n",
+    "    if population == NO_DATA_CHAR: continue\n",
+    "    df = metadata_df[metadata_df[\"population\"] == population]\n",
     "    if len(df) == 0: continue\n",
-    "    print(clade)\n",
+    "    print(population)\n",
     "    \n",
-    "    clade_dist_dict[branch] = {\"gene\":[],\"geo\":[], \"mantel\": {}}\n",
+    "    population_dist_dict[population] = {\"gene\":[],\"geo\":[], \"mantel\": {}}\n",
     "    \n",
     "    for sample1 in df.index:\n",
     "        \n",
@@ -3267,14 +3128,14 @@
     "            gene_dist_list.append(gene_dist)   \n",
     "\n",
     "        # Add to matrix\n",
-    "        clade_dist_dict[clade][\"geo\"].append(geo_dist_list)\n",
-    "        clade_dist_dict[clade][\"gene\"].append(gene_dist_list)  \n",
+    "        population_dist_dict[population][\"geo\"].append(geo_dist_list)\n",
+    "        population_dist_dict[population][\"gene\"].append(gene_dist_list)  \n",
     "        \n",
     "    # Mantel Test\n",
-    "    coeff, p_value, n = skbio_dist.mantel(clade_dist_dict[clade][\"gene\"], clade_dist_dict[clade][\"geo\"])\n",
-    "    clade_dist_dict[clade][\"mantel\"][\"coeff\"] = coeff\n",
-    "    clade_dist_dict[clade][\"mantel\"][\"p_value\"] = p_value\n",
-    "    clade_dist_dict[clade][\"mantel\"][\"n\"] = n"
+    "    coeff, p_value, n = skbio_dist.mantel(population_dist_dict[population][\"gene\"], population_dist_dict[population][\"geo\"])\n",
+    "    population_dist_dict[population][\"mantel\"][\"coeff\"] = coeff\n",
+    "    population_dist_dict[population][\"mantel\"][\"p_value\"] = p_value\n",
+    "    population_dist_dict[population][\"mantel\"][\"n\"] = n"
    ]
   },
   {
@@ -3287,13 +3148,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 26,
    "id": "explicit-channel",
    "metadata": {},
    "outputs": [],
    "source": [
     "# Correct p_values\n",
-    "raw_p_values = [clade_dist_dict[clade][\"mantel\"][\"p_value\"] for clade in clade_dist_dict]\n",
+    "raw_p_values = [population_dist_dict[population][\"mantel\"][\"p_value\"] for population in population_dist_dict]\n",
     "\n",
     "# Add the p value from the all comparison to the end\n",
     "raw_p_values += [all_dist_dict[\"mantel\"][\"p_value\"]]\n",
@@ -3301,11 +3162,11 @@
     "reject, corrected_p_values, alphacSidak, alphacBonf = smmt.multipletests(raw_p_values, alpha = 0.05, method = \"holm\")\n",
     "\n",
     "i = 0\n",
-    "for clade in clade_dist_dict:\n",
-    "    clade_p_value = corrected_p_values[i]\n",
-    "    clade_reject = reject[i]\n",
-    "    clade_dist_dict[clade][\"mantel\"][\"corrected_p_value\"] = clade_p_value\n",
-    "    clade_dist_dict[clade][\"mantel\"][\"reject\"] = clade_reject\n",
+    "for population in population_dist_dict:\n",
+    "    population_p_value = corrected_p_values[i]\n",
+    "    population_reject = reject[i]\n",
+    "    population_dist_dict[population][\"mantel\"][\"corrected_p_value\"] = population_p_value\n",
+    "    population_dist_dict[population][\"mantel\"][\"reject\"] = population_reject\n",
     "    i += 1\n",
     "    \n",
     "# The last corrected p_value is associated with all\n",
@@ -3319,7 +3180,7 @@
     "\n",
     "with open(out_path, \"w\") as outfile:\n",
     "    headers = \"{}\\t{}\\t{}\\t{}\\t{}\\t{}\".format(\n",
-    "        \"clade\",\n",
+    "        \"population\",\n",
     "        \"coefficient\",\n",
     "        \"raw_p_value\",\n",
     "        \"n\",\n",
@@ -3333,9 +3194,9 @@
     "    data_str = \"\\t\".join([str(d) for d in data])\n",
     "    outfile.write(data_str + \"\\n\")\n",
     "    \n",
-    "    # Clade Values\n",
-    "    for clade in clade_dist_dict:\n",
-    "        data = [clade] + list(clade_dist_dict[clade][\"mantel\"].values())\n",
+    "    # Population Values\n",
+    "    for population in population_dist_dict:\n",
+    "        data = [population] + list(population_dist_dict[population][\"mantel\"].values())\n",
     "        data_str = \"\\t\".join([str(d) for d in data])\n",
     "        outfile.write(data_str + \"\\n\")"
    ]
@@ -3345,12 +3206,12 @@
    "id": "center-investigation",
    "metadata": {},
    "source": [
-    "## Plot Clades All in 1"
+    "## Plot Populations All in 1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 32,
    "id": "vulnerable-stuart",
    "metadata": {},
    "outputs": [
@@ -3358,12 +3219,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1.PRE\n"
+      "1.ORI\n",
+      "1.IN\n",
+      "1.ANT\n",
+      "1.PRE\n",
+      "2.MED\n",
+      "2.ANT\n",
+      "4.ANT\n",
+      "3.ANT\n",
+      "0.ANT4\n",
+      "0.ANT\n",
+      "0.PE\n",
+      "0.PRE\n"
      ]
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 1280x480 with 2 Axes>"
       ]
@@ -3391,29 +3263,26 @@
     "ax.set_ylabel(\"Genetic Distance (substitutions / site)\")\n",
     "ax.set_xlabel(\"Great Circle Distance (km)\")\n",
     "ax.ticklabel_format(axis=\"y\", style=\"sci\", scilimits=(0,0)) \n",
-    "ax.set_title(\"Intra-Clade Comparison\")\n",
+    "ax.set_title(\"Intra-Population Comparison\")\n",
     "    \n",
-    "# Plot by Clade\n",
+    "# Plot by Population\n",
     "\n",
-    "clades =list(BRANCH_LIST.keys())\n",
-    "clades.reverse()\n",
-    "for clade in clades:\n",
+    "populations=list(colors_dict.keys())\n",
+    "populations.reverse()\n",
+    "for population in populations:\n",
     "    \n",
-    "    if clade not in clade_dist_dict: continue\n",
+    "    if population not in population_dist_dict: continue\n",
     "    \n",
-    "    print(clade)        \n",
+    "    print(population)        \n",
     "    \n",
     "    # Color\n",
-    "    if clade == \"0.ANT4\":   \n",
-    "        color = colors_dict[\"0.ANT\"]\n",
-    "    else:\n",
-    "        color = colors_dict[clade]\n",
+    "    color = colors_dict[population]\n",
     "        \n",
     "    # Extract the upper triangle of the distance matrices\n",
-    "    gene_dist_mat = np.array(clade_dist_dict[clade][\"gene\"])\n",
+    "    gene_dist_mat = np.array(population_dist_dict[population][\"gene\"])\n",
     "    gene_dist_arr = gene_dist_mat[np.triu_indices(len(gene_dist_mat), k = 1)]\n",
     "\n",
-    "    geo_dist_mat = np.array(clade_dist_dict[clade][\"geo\"])\n",
+    "    geo_dist_mat = np.array(population_dist_dict[population][\"geo\"])\n",
     "    geo_dist_arr = geo_dist_mat[np.triu_indices(len(geo_dist_mat), k = 1)]\n",
     "\n",
     "    # Add to the all plot\n",
@@ -3457,30 +3326,30 @@
     ")\n",
     "frame = legend.get_frame().set_linewidth(0.5)     \n",
     "\n",
-    "# Clade legend\n",
-    "clades = list(colors_dict.keys())\n",
-    "clades.reverse()\n",
+    "# Population legend\n",
+    "populations = list(colors_dict.keys())\n",
+    "populations.remove(NO_DATA_CHAR)\n",
+    "populations.reverse()\n",
     "\n",
-    "clade_lines = [lines.Line2D([0], [0], color=colors_dict[clade], lw=0, markersize=5, markeredgecolor=\"black\", markeredgewidth=0.25, marker=\"o\") \n",
-    "                for clade in clades]\n",
-    "clade_labels = [clade for clade in clades]\n",
+    "population_lines = [lines.Line2D([0], [0], color=colors_dict[population], lw=0, markersize=5, markeredgecolor=\"black\", markeredgewidth=0.25, marker=\"o\") \n",
+    "                for population in populations]\n",
     "\n",
-    "clade_legend = fig.legend(clade_lines, \n",
-    "           clade_labels,\n",
-    "           #ncol=len(clade_labels),\n",
+    "population_legend = fig.legend(population_lines, \n",
+    "           populations,\n",
+    "           #ncol=len(populations),\n",
     "           ncol=1,\n",
     "           loc=\"center\", \n",
-    "           bbox_to_anchor=(0.51, 0.40),\n",
+    "           bbox_to_anchor=(0.51, 0.35),\n",
     "           frameon=True,\n",
     "           borderpad=0.5, \n",
     "           handletextpad=0.25, \n",
     "           labelspacing=0.5,\n",
     "           edgecolor=\"black\",\n",
-    "           title=\"Clade\",\n",
+    "           title=\"Population\",\n",
     "           fontsize=FONTSIZE,\n",
     "           title_fontsize=FONTSIZE,\n",
     "          )\n",
-    "clade_legend.get_frame().set_linewidth(0.50)\n",
+    "population_legend.get_frame().set_linewidth(0.50)\n",
     "   \n",
     "    \n",
     "ax = axes[1]\n",
@@ -3492,7 +3361,7 @@
     "\n",
     "geo_dist_mat = np.array(all_dist_dict[\"geo\"])\n",
     "geo_dist_arr = geo_dist_mat[np.triu_indices(len(geo_dist_mat), k = 1)]\n",
-    "    \n",
+    "\"\"\"    \n",
     "sns.scatterplot(\n",
     "    ax=ax,\n",
     "    x=geo_dist_arr,\n",
@@ -3503,7 +3372,7 @@
     "    lw=0.1,\n",
     "    alpha=0.25,\n",
     ") \n",
-    "\n",
+    "\"\"\"\n",
     "\n",
     "out_path = os.path.join(out_dir, \"mantel_all\")\n",
     "plt.savefig(out_path + \".png\", bbox_inches=\"tight\")\n",
@@ -3515,18 +3384,36 @@
    "id": "under-tuning",
    "metadata": {},
    "source": [
-    "## Plot Clades Multi Plot"
+    "## Plot Populations Multi Plot"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "id": "atlantic-purchase",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.PRE\n",
+      "0.PE\n",
+      "0.ANT\n",
+      "0.ANT4\n",
+      "3.ANT\n",
+      "4.ANT\n",
+      "2.ANT\n",
+      "2.MED\n",
+      "1.PRE\n",
+      "1.ANT\n",
+      "1.IN\n",
+      "1.ORI\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1280x1280 with 12 Axes>"
       ]
@@ -3556,12 +3443,10 @@
     "i_row = 0\n",
     "i_col = 0\n",
     "\n",
-    "for clade in BRANCH_LIST:\n",
-    "    # ----------------------------------------\n",
-    "    # Setup axis\n",
-    "    ax = axes[i_row][i_col]\n",
-    "\n",
-    "    df = metadata_gdf[metadata_gdf[\"branch_minor\"].isin(BRANCH_LIST[clade])]  \n",
+    "for population in colors_dict:\n",
+    "    if population == NO_DATA_CHAR: continue\n",
+    "    df = metadata_df[metadata_df[\"population\"] == population]  \n",
+    "    print(population)\n",
     "    \n",
     "    if len(df) < 3:\n",
     "        # Update axis\n",
@@ -3571,11 +3456,15 @@
     "        else:\n",
     "            i_col += 1        \n",
     "        continue  \n",
-    "\n",
+    "    # ----------------------------------------\n",
+    "    # Setup axis\n",
+    "    ax = axes[i_row][i_col]\n",
+    "    \n",
     "    frame = legend.get_frame().set_linewidth(0.5)        \n",
     "        \n",
     "    # Format axis\n",
-    "    ax.set_title(clade)\n",
+    "    ax.set_title(population)\n",
+    "    \n",
     "\n",
     "    if i_col == 0:\n",
     "        ax.set_ylabel(\"Genetic Distance \\n (substitutions/site)\")\n",
@@ -3588,16 +3477,13 @@
     "        ax.spines[spine].set_linewidth(0.5)  \n",
     "        \n",
     "    # Color\n",
-    "    if clade == \"0.ANT4\":   \n",
-    "        color = colors_dict[\"0.ANT\"]\n",
-    "    else:\n",
-    "        color = colors_dict[clade]\n",
+    "    color = colors_dict[population]\n",
     "        \n",
     "    # Prepare data\n",
-    "    gene_dist_mat = np.array(clade_dist_dict[clade][\"gene\"])\n",
+    "    gene_dist_mat = np.array(population_dist_dict[population][\"gene\"])\n",
     "    gene_dist_arr = gene_dist_mat[np.triu_indices(len(gene_dist_mat), k = 1)]\n",
     "\n",
-    "    geo_dist_mat = np.array(clade_dist_dict[clade][\"geo\"])\n",
+    "    geo_dist_mat = np.array(population_dist_dict[population][\"geo\"])\n",
     "    geo_dist_arr = geo_dist_mat[np.triu_indices(len(geo_dist_mat), k = 1)]\n",
     "\n",
     "    # Add scatter\n",
@@ -3625,7 +3511,7 @@
     "    \n",
     "    # Dummy plot for label\n",
     "    p_sig = \"\"\n",
-    "    if clade_dist_dict[clade][\"mantel\"][\"reject\"]:\n",
+    "    if population_dist_dict[population][\"mantel\"][\"reject\"]:\n",
     "        p_sig = \"*\"\n",
     "    sns.scatterplot(\n",
     "        ax=ax,\n",
@@ -3633,9 +3519,9 @@
     "        y=[0],\n",
     "        s=0,\n",
     "        label=(\n",
-    "            \"Coefficient: {}\".format(round(clade_dist_dict[clade][\"mantel\"][\"coeff\"],2))\n",
-    "            + \"\\n               p: {:.2e}{}\".format(clade_dist_dict[clade][\"mantel\"][\"corrected_p_value\"],p_sig)      \n",
-    "        + \"\\n               N: {}\".format(clade_dist_dict[clade][\"mantel\"][\"n\"])              \n",
+    "            \"Coefficient: {}\".format(round(population_dist_dict[population][\"mantel\"][\"coeff\"],2))\n",
+    "            + \"\\n               p: {:.2e}{}\".format(population_dist_dict[population][\"mantel\"][\"corrected_p_value\"],p_sig)      \n",
+    "        + \"\\n               N: {}\".format(population_dist_dict[population][\"mantel\"][\"n\"])              \n",
     "            )          \n",
     "    )\n",
     "    \n",
@@ -3657,12 +3543,10 @@
     "        i_row += 1\n",
     "    else:\n",
     "        i_col += 1 \n",
-    "    \n",
-    "    if label == \"1.PRE\":\n",
-    "        break\n",
     "        \n",
     "        \n",
-    "out_path = os.path.join(out_dir, \"mantel_clades\")\n",
+    "        \n",
+    "out_path = os.path.join(out_dir, \"mantel_populations\")\n",
     "plt.savefig(out_path + \".png\", bbox_inches=\"tight\", dpi=400)\n",
     "plt.savefig(out_path + \".svg\", bbox_inches=\"tight\") "
    ]
@@ -3679,9 +3563,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 29,
    "id": "fourth-counter",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -3695,7 +3581,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1280x240 with 4 Axes>"
       ]
@@ -3728,7 +3614,7 @@
     "    ax=ax, \n",
     "    x=df[\"date_mean\"], \n",
     "    multiple=\"stack\",    \n",
-    "    hue=df[\"branch_major\"], \n",
+    "    hue=df[\"population\"], \n",
     "    palette=colors_dict, \n",
     "    binwidth=200,\n",
     "    alpha=1.0,\n",
@@ -3748,7 +3634,7 @@
     "    ax=ax, \n",
     "    x=df[\"date_mean\"], \n",
     "    multiple=\"stack\",    \n",
-    "    hue=df[\"branch_major\"], \n",
+    "    hue=df[\"population\"], \n",
     "    palette=colors_dict, \n",
     "    binwidth=50,\n",
     "    alpha=1.0,\n",
@@ -3768,7 +3654,7 @@
     "    ax=ax, \n",
     "    x=df[\"date_mean\"], \n",
     "    multiple=\"stack\",    \n",
-    "    hue=df[\"branch_major\"], \n",
+    "    hue=df[\"population\"], \n",
     "    palette=colors_dict, \n",
     "    binwidth=50,\n",
     "    alpha=1.0,\n",
@@ -3787,7 +3673,7 @@
     "    ax=ax, \n",
     "    x=df[\"date_mean\"], \n",
     "    multiple=\"stack\",    \n",
-    "    hue=df[\"branch_major\"], \n",
+    "    hue=df[\"population\"], \n",
     "    palette=colors_dict, \n",
     "    binwidth=10,\n",
     "    alpha=1.0,\n",
@@ -3806,17 +3692,17 @@
     "    ax.spines[\"bottom\"].set_linewidth(0.5)\n",
     "    ax.spines[\"left\"].set_linewidth(0.5)\n",
     "    \n",
-    "# Clade legend\n",
-    "clades = list(colors_dict.keys())\n",
-    "clades.reverse()\n",
+    "# Population legend\n",
+    "populations = list(colors_dict.keys())\n",
+    "populations.remove(NO_DATA_CHAR)\n",
+    "populations.reverse()\n",
     "\n",
-    "clade_lines = [lines.Line2D([0], [0], color=colors_dict[clade], lw=0, markersize=5, markeredgecolor=\"black\", markeredgewidth=0.25, marker=\"s\") \n",
-    "                for clade in clades]\n",
-    "clade_labels = [clade for clade in clades]\n",
+    "population_lines = [lines.Line2D([0], [0], color=colors_dict[population], lw=0, markersize=5, markeredgecolor=\"black\", markeredgewidth=0.25, marker=\"s\") \n",
+    "                for population in populations]\n",
     "\n",
-    "clade_legend = fig.legend(clade_lines, \n",
-    "           clade_labels,\n",
-    "           #ncol=len(clade_labels),\n",
+    "population_legend = fig.legend(population_lines, \n",
+    "           populations,\n",
+    "           #ncol=len(populations),\n",
     "           ncol=1,\n",
     "           loc=\"center\", \n",
     "           bbox_to_anchor=(0.95, 0.50),\n",
@@ -3825,11 +3711,11 @@
     "           handletextpad=0.25, \n",
     "           labelspacing=0.5,\n",
     "           edgecolor=\"black\",\n",
-    "           title=\"Clade\",\n",
+    "           title=\"Population\",\n",
     "           fontsize=FONTSIZE,\n",
     "           title_fontsize=FONTSIZE,\n",
     "          )\n",
-    "clade_legend.get_frame().set_linewidth(0.50)\n",
+    "population_legend.get_frame().set_linewidth(0.50)\n",
     "    \n",
     "out_path = os.path.join(out_dir, \"timeline_all\")\n",
     "plt.savefig(out_path + \".png\", bbox_inches=\"tight\")\n",
@@ -3856,7 +3742,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 30,
    "id": "incident-feeding",
    "metadata": {},
    "outputs": [],
@@ -3864,6 +3750,32 @@
     "out_path_metadata = out_divtree_nwk_path = os.path.join(out_dir, \"metadata.tsv\")\n",
     "metadata_df.to_csv(out_path_metadata, sep=\"\\t\", index=True)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "intermediate-coordinate",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'-105.607716,38.7251776': 1, '40.7957942,47.6222451': 4, '85.4633464,42.4804953': 105, '45.6985005,43.39761470000001': 2, '93.8582593,51.401714899999995': 4, '43.4204809,43.44282860000001': 4, '47.14988017944229,43.0883099': 16, '41.7267991,43.7368326': 4, '45.25441108731086,41.17390635': 1, '89.8549358,48.5470083': 9, '95.9325806,45.3463139': 3, '91.26731219782693,48.0552065': 1, '102.7237769,45.8297039': 1, '-111.763275,34.395342': 2, '-118.755997,36.7014631': 3, '75.45197267868438,41.3564711': 1, '127.99999199999999,48.00000470000001': 2, '32.2166578,1.5333553999999998': 1, '46.441642200000004,-18.9249604': 2, '102.0,25.0': 18, '46.6145685,-21.743247': 1, '-56.123559,-15.616066': 1, '75.6741579,18.906835600000004': 2, '44.979682000000004,43.1655309': 4, '43.8276008,40.829434899999995': 7, '45.60713327015354,39.43858165': 1, '46.70500981655712,40.6065534': 8, '49.8326748,40.3754434': 3, '46.01391106445903,40.86764505': 1, '43.4406913,44.86325770000001': 1, '50.2227409,49.5568479': 7, '47.608851,47.1878186': 9, '-105.993007,34.5708167': 10, '29.879085200000002,-19.2785043': 1, '-68.1336229,-16.4955455': 1, '110.0044145,-7.303241199999999': 3, '23.82226360000001,-2.9814344': 2, '4.200310671358427,35.1300205': 1, '86.8572186,50.7114101': 20, '72.14310491939636,42.4451869': 4, '68.8268012,39.35486020000001': 2, '100.67009765478292,46.18084675': 2, '104.11338640000001,43.282363000000004': 3, '78.17073232346421,42.06103415': 5, '43.2469570403887,41.52653525': 10, '46.1530296,39.3281408': 2, '45.375739,40.3030726': 1, '47.3806998083944,39.58356755': 1, '63.9155202,45.20588529999999': 5, '45.249161,46.90171160000001': 5, '73.35273504013053,40.1537925': 1, '69.5883282,42.31469620000001': 1, '77.27418709999998,45.2351691': 1, '64.0,42.0': 1, '36.826061224105075,-1.30316895': 1, '-99.51209859999999,31.8160381': 1, '50.806203000000004,47.660582700000006': 5, '53.1681252,43.736245200000006': 1, '54.91200550000001,39.9353714': 3, '115.956325,52.248521000000004': 1, '47.0124376,35.672803': 4, '90.87498070000001,29.8556443': 45, '114.32516640000001,43.2443242': 20, '78.3665347,10.909433400000001': 1, '71.745261,22.3850051': 2, '77.34932051968858,31.81676015': 1, '-106.1412243,55.5321257': 1, '101.9999999,38.0000001': 6, '-78.5,-8.0': 47, '-78.833333,-6.25': 18, '74.724091,41.5089324': 4, '49.4074599,57.9665589': 2, '-116.85372269999999,39.515882500000004': 1, '84.03632755245305,28.3840962': 1, '109.0,24.0': 1, '95.9999652,17.1750495': 1, '109.13572849999998,35.8894105': 3, '109.77837530000001,44.4179637': 8, '95.95211573241954,35.40709525': 25, '105.9999999,37.0000001': 3, '116.0,39.0000001': 1, '125.9816054,42.9995032': 3, '117.84277800000001,26.5450001': 2, '102.4999999,30.500000099999998': 1, '30.316228999999996,59.938731999999995': 2, '44.02873820000001,41.6809707': 2, '65.20931970000001,47.2286086': 3, '57.721328899999996,48.23965820000001': 2, '46.64969832546284,39.97461145': 1, '106.6983801,10.7715512': 1, '108.42651129999999,13.2904027': 2, '108.9950386,12.196080300000002': 1, '108.152754,11.693772500000001': 1, '59.392460899999996,39.37638070000001': 3, '93.1017516702174,48.82133605': 1, '99.91704920000001,50.2206196': 1, '8.4119773,46.942756': 8, '11.4038717,48.9467562': 11, '0.4875777469166293,52.2199774': 4, '50.4763591,55.44821700000001': 2, '9.0399498,48.5908946': 1, '13.2461296,52.84554920000001': 1, '-0.14405508452768728,51.4893335': 5, '-0.7654406,39.6819591': 1, '1.7324061999999998,47.5490251': 2, '2.3435683999999997,43.64878510000001': 1, '10.7389701,59.913330099999996': 1, '5.444139099999999,51.6017723': 2, '24.30261214859043,58.31950685': 1, '25.03115989218585,55.9156048': 1, '50.8914633,53.2128813': 1, '1.5745042999999999,41.852309399999996': 1, '6.063850599999999,44.0580563': 5, '97.09799740000001,63.3233807': 1, '82.69314240000001,52.693224300000004': 1, '12.766231199999998,41.9808038': 1, '104.71922099999999,56.6370122': 2, '18.1099,54.24556': 1, '25.24953400167952,54.82269205': 3}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(size_by_coord)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "sublime-chocolate",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {