diff --git a/pvdeg/scenario.py b/pvdeg/scenario.py
index be6c53b..88b96ea 100644
--- a/pvdeg/scenario.py
+++ b/pvdeg/scenario.py
@@ -1170,7 +1170,8 @@ def addLocation(
         weather_db = "NSRDB"
         weather_arg = {
             "satellite": satellite,
-            "names": year,
+            # "names": year, # allow user to choose tmy or year
+            "names":"TMY",
             "NREL_HPC": True,
             "attributes": nsrdb_attributes,
         }
diff --git a/pvdeg/weather.py b/pvdeg/weather.py
index d994c31..9328fda 100644
--- a/pvdeg/weather.py
+++ b/pvdeg/weather.py
@@ -633,7 +633,17 @@ def get_NSRDB(
         return weather_df, meta.to_dict()
 
     elif geospatial:
+        # new versions have multiple files per satellite-year to reduce filesizes
+        # this is great for yearly data but TMY has multiple files
+        # the year attached to the TMY file in the filesystem/name is seemingly
+        # the year it was created. this creates problems, we only want to combine the files
+        # if they are NOT TMY
+
         nsrdb_fnames, hsds = get_NSRDB_fnames(satellite, names, NREL_HPC)
+
+        if (isinstance(names, str) and names.lower() in ["tmy", "tmy3"]):
+            nsrdb_fnames = nsrdb_fnames[-1:] # maintain as list with last element
+
         weather_ds, meta_df = ini_h5_geospatial(nsrdb_fnames)
 
         if attributes is not None:
diff --git a/scripts/pysam_america.ipynb b/scripts/pysam_america.ipynb
index 001ea7b..51513cc 100644
--- a/scripts/pysam_america.ipynb
+++ b/scripts/pysam_america.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -20,18 +20,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/tford/.conda-envs/rpp/lib/python3.10/site-packages/xarray/core/dataset.py:274: UserWarning: The specified chunks separate the stored chunks along dimension \"phony_dim_1\" starting at index 500. This could degrade performance. Instead, consider rechunking after loading.\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "locationGetter = pvdeg.scenario.GeospatialScenario()\n",
     "\n",
@@ -40,27 +31,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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vXs3EiRNZu3YtxcXFFR6bl5eHp6fnadcfHR1d6baXX36Zq666iubNm9OmTRuGDh3KrbfeSrt27arV5upuq7rvm+P++7od37fw8PAqbz/59TwbK1eu5M4772TIkCG1VhepLjgcDkaPHs3u3bv5448/CAkJqXD/Qw89RK9evbjuuuvqZPs33XQTb7/9No888ghr1qwpr8X2X7X1mZg/fz6TJk1i69atFWqB/bee29koLCwEKgbdd+3axf/+9z+WLl1aaca76hwLAL766ivefvtt9u7di81mK7+9qs+fJEmSJJ0vMvAkSZIk1RsPDw9CQkLYuXNnjR5XGxd+J6tOkeWzYTAYqrz95ODSAw88wMyZM3n44Yfp2bMnnp6eKIrC6NGj0TTtjNs4vsysWbOqrKlT3dn22rZty6WXXlrlfQkJCQwaNIiWLVvyzjvvEB4ejtlsZuHChUydOrVa7azqOe7Xrx8JCQnMmzePRYsWMWPGDKZOnconn3xSYVa3mjrV61nd982pXrfqvJ41tW3bNkaMGEGbNm2YM2dOg54d8e6772b+/Pl8++23lYI6S5cu5c8//2Tu3LkVCuPb7XZKSko4dOgQPj4+1Q76VOXGG28snw3O19eXyy67rMrlauMzsXLlSkaMGEG/fv346KOPCA4OxmQyMXPmzEpFzs/G8WPe8WBobm4u/fv3x8PDg5dffpkmTZrg5OTE5s2beeqpp6r1Gfvmm28YO3YsV199NU888QQBAQEYDAYmT55cXrNNkiRJkupDwz27kSRJki4KV1xxBdOnT2ft2rUVhjdVJTIyEk3T2L9/f3lhbYC0tDRyc3PLZzs7/jsuLo6YmJjy5axWKwcPHjxlgOW/2/r7778pLCyskPUUFxdXo/07kzlz5jBmzBjefvvt8ttKS0srzZ53qqDJ8aF8AQEB1dqvs/H7779TVlbGb7/9ViEbqDZmy/Lx8eH222/n9ttvp7CwkH79+vHiiy+eU+Dpv6r7vjnfEhISGDp0KAEBASxcuLBSdl1D8sQTTzBz5kzeffddbrzxxkr3JyUlAXrx9/86evQo0dHRTJ06lYcffvis2xAREUHv3r1Zvnw548ePP2UAqSafiVN9rn7++WecnJz466+/KgwbnDlz5lm2vqJZs2ahKEp5Ef3ly5eTlZXF3Llz6devX/lyx2eVrE6b58yZQ0xMDHPnzq2wzMSJE2ulzZIkSZJ0tmSNJ0mSJKlePfnkk7i6unLXXXeRlpZW6f6EhATee+89AIYNGwbAu+++W2GZd955B6B8pqlLL70Us9nM+++/XyEb5fPPPycvL69aM1INGzYMu93Oxx9/XH6bw+Fg2rRpNdvBMzAYDJUyZqZNm1ZhCnUAV1dXgEoBqSFDhuDh4cFrr71WYWjNcRkZGbXSRqDSMMBzvQjPysqq8LebmxtNmzatMKypNlT3fXM+paamctlll6GqKn/99Rf+/v7nvQ3V9eabb/LWW2/x7LPP8tBDD1W5zMCBA/nll18q/fj7+9OlSxd++eUXrrzyynNuy6RJk5g4ceJpa63V5DNxqs+VwWBAUZQKn8NDhw7x66+/ntsOAK+//jqLFi1i1KhR5fW8qvqMWa1WPvroo0qPd3V1rXLoXVXrWLduHWvXrj3nNkuSJEnSuZAZT5IkSVK9atKkCbNnz2bUqFG0atWK2267jTZt2mC1WlmzZg0//fQTY8eOBaB9+/aMGTOG6dOnlw9NWb9+PV999RVXX301l1xyCQD+/v4888wzvPTSSwwdOpQRI0YQFxfHRx99RNeuXbnlllvO2K4rr7yS3r178/TTT3Po0CFiY2OZO3dutWutVNcVV1zBrFmz8PT0JDY2lrVr17JkyRJ8fX0rLNehQwcMBgNTpkwhLy8Pi8XCwIEDCQgI4OOPP+bWW2+lU6dOjB49Gn9/f5KSkliwYAG9e/fmgw8+OKc2XnbZZZjNZq688kruueceCgsL+eyzzwgICCAlJeWs1xsbG8uAAQPo3LkzPj4+bNy4kTlz5nD//fefU3v/q7rvm/Np6NChHDhwgCeffJJVq1axatWq8vsCAwPLM2EAVqxYwYoVKwA9aFJUVMSkSZMAfbjiyRkyH3zwAbm5uSQnJwN6ttqRI0cAfVjn8bpUiYmJzJo1C4CNGzcClK8zMjKSW2+9FYBffvmFJ598kmbNmtGqVSu++eabCvsxePBgAgMDiYiIqLKm2cMPP0xgYCBXX331WT5TFfXv35/+/fufdhkPD49qfyY6d+4MwIMPPsiQIUMwGAyMHj2a4cOH88477zB06FBuuukm0tPT+fDDD2natCnbt2+vVlvtdnv581VaWkpiYiK//fYb27dv55JLLmH69Only/bq1Qtvb2/GjBnDgw8+iKIozJo1q8phnJ07d+aHH37g0UcfpWvXrri5uXHllVdyxRVXMHfuXK655hqGDx/OwYMH+eSTT4iNjS2vKSVJkiRJ9aLe5tOTJEmSpJPs27dP3H333SIqKkqYzWbh7u4uevfuLaZNm1ZhKnGbzSZeeuklER0dLUwmkwgPDxfPPPNMhWWO++CDD0TLli2FyWQSgYGBYvz48SInJ6fCMv379xetW7eusk1ZWVni1ltvFR4eHsLT01Pceuut5dOgnzxN/cSJEytNyQ6ICRMmVFpnZGSkGDNmTPnfOTk54vbbbxd+fn7Czc1NDBkyROzdu7fSckII8dlnn4mYmBhhMBgEIJYtW1Z+37Jly8SQIUOEp6encHJyEk2aNBFjx44VGzdurHLfTn4cIH766afTLvfbb7+Jdu3aCScnJxEVFSWmTJkivvjiCwGIgwcPli/Xv39/0b9//2qtf9KkSaJbt27Cy8tLODs7i5YtW4pXX31VWK3W07bl4MGDAhBvvvlmhduPvw4ZGRmVHlPd901kZKQYPnx4pcdX9Xqeqh3VAZzy5+Tn7+T9qupn4sSJldp/qmVPfp2Ovy5n2v7ptv3f92BVTvV8Vkd1n98xY8YIV1fXSrdX5zNht9vFAw88IPz9/YWiKBU+x59//rlo1qyZsFgsomXLlmLmzJlVftZP1aaTnycXFxcRFRUlrrvuOjFnzhzhcDgqPWb16tWiR48ewtnZWYSEhIgnn3xS/PXXX5We58LCQnHTTTcJLy8vAYjIyEghhBCaponXXntNREZGCovFIjp27Cjmz58vxowZU76MJEmSJNUHRYhzqIgpSZIkSZIkSZIkSZIkSacgazxJkiRJkiRJkiRJkiRJdUIGniRJkiRJkiRJkiRJkqQ6IQNPkiRJkiRJkiRJkiRJUp2QgSdJkiRJkiRJkiRJkiSpTsjAkyRJkiRJkiRJkiRJklQnjNVdsLS0FKvVWpdtkSRJkiRJkiRJkiRJki4QZrMZJyen0y5TrcBTaWkpgSER5Odk1ErDJEmSJEmSJEmSJEmSpAtbUFAQBw8ePG3wqVqBJ6vVSn5OBq99/S/xO9fzxRsP0qJFM7p370jnzu3p0qU9oaEhKMq5NXjr1p18++3PTJr0DBaLudL9mgYbDxg4nGOgY5SdGH/t3DYonVF8qsq2w0ai/By0CXdgqXaO3Nmx2mFdgpGMfIXYUActgrVzfl9J0slScxW2JRqxazC0vQ2DHHDcoGxNNHAkW2VIOxsmQ323RpJOyC9RWLzTCFT/S6llsIPWYY66a1QDFpeisvPIqU8aFARD29twqXy6JzUgOTm5DL38Jlw8Q7jv5S9R1ep/aQohyEo7ytGDuzhyYC9HDuwi+dAeCvJyAPD29qZt25a0adOKdu1a0rp1S8LCQqrcRnFxCamp6aSlZXDoUBJLl65mxYq1lJaW4h8cQeuuA+nc5wpColugyBNHSbroTH5gGEMv7cGkSU/Xd1MuOgUFhbRp0w+r1XrawJMihBBnWll+fj6enp68M2cnRqOJdUt/4cDuTRyM20Tq4QMA+Af4071bR7p370S3bp1o3z4Wi8VSrcY6HA527tyLv78vISFBp19WgznrTHi5Coa0s1dr/Rc6m4N6uQA7mq2wMs5IyxCNDpHn78RZE7DriIFdRwyEeGv0aGrHXMcBL+niUFACC7aa8HUTdG9qx8O5vlsk/VdRGfyxzUSYj0b3Jg4ZeJYajA0JBhLSa/Zl3K+ljRDvM55mNTpFZbBou4kye+UPsILAxQIxAQ5ah8kOxIbMZrNx4433sm7Ddp6Z9gc+/iGnXFZzOEhPPkhS/E4OJ+zkcMIuDifspLgwH4Cg4CA6tI+lffvWtGvXmvbtYwkJCTqnIFFpaRkrVqxl4cIlzJ+/hKysLEKjmtP1kmvpOuCq07ZXkqTGZcbkCVgc6SxY8G19N+Wik59fQGRkJ/Ly8vDw8DjlcjUKPA24cgwRTdsSEtWS4PCmmJ2cKczL5sDezRzYs5mDezdxKG4r1rJSTGYzrVu3xOHQ8PLy4LvZH+Pq6lLl+g8fTqZdu/48+uh4nn/+UeLjD/LOOx/zwguPExQUUGHZxEyVtfuN9GlhI8yn8Z/M5ZfA4h0mWoY4aBmindfsjEXbjZiMMKCVvV4u/pJzFP7dr7ehX0sbnlW/fSSp2tLzFZbuMjG0nQ0v18Z//LhQHcxQWRdvpGmgg87RMvgkNQxWO6TmqiSkq6TlVe/L2MdVY2BrO8ZGmL0nBCSkqcQEaqgK2B1wNEclq0AhIU3FIfQPrp+7hr+HwMdVw8tV4GoBVX6mGzybzcZ9E57m11/+YPjNjwCQn5NBSXEBdpuV6+76HxnJh4jftZ6E3Rs4uGczxUUFAISHh9G+fSwdOrQ5FmiKJSDAr87bu2zZan744VcWLFiC1WqlSWxnmrfrRbO2PYhp2Qmzk+xtkqTGav637/Lvn18TH/9vfTflolMngafQsFCOHjmqP1BRiGjahsCwJsRtXYWTsyvhzdoT07ITQRHNSEnaT9L+7ezZspL8nAx27FhBWFjwKbeRnp6Joij4+/uyYcMWnn56EnPnfomnp3uF5TYfNJCcq3JFR1t1n4sLms2hZ//Epai4WqBTlP289Z7+vtlEhJ9G+4j6GyZQWAor9xoptir0bWknwEMGC6SzIwSsijOSWaAworMcYtfQHUhXWZ9gpHsTO9EBMitCali2JxnYfbR60aS24fZGl9ljd8Da/UYKShUub29DUfQg1IYDJ9KTzQZBp2gHkX5yyPyF5sCBRMbf9xTr120qv83N3R13dzdSklMqLOvq5kaP7p3o0aMzXbq0p3371nh7e53nFleUn1/A/PmLWLjwb9as2UhOTg5Go4noFh1o0qYbIZEtCAiNISA0CmcX9zOvUJKkBm/TygXMmHwf8fHr8PX1qe/mXFTqJPCUmLgZVVXZu3c/u3fvY95vf7FyxVruuec2NE1j3fqtbNu2E4uTK9ePe4Eeg67jh08msmf9H+zds6pGO5Cams6UKdN4+ukHCQz0L7992W4jJgP0aXFxDLM7Lq8YNh00kp6vEuqt0THKjtvpC8efEyFg7gYTsaEOWoXW7wmz1X4iYNC9qX4SK0k1dfyi6GLJlmwMVu6teGErSQ1FbpHCn9tNp13GZBB0iHQQE3BhB16E0GuvZRcqRPppuDsLDmWoHMwwEOKl0a+Vfj62N1lla6IeePJy0ejfyo6zrN/UoJRY9Q5NIUAIBcHx/4NDwOGUPO699Ubi9+8rf0yfPj24//47GDSoL4sWLefmm8cDMHHi4wwc2IfWrVtiMDTclD5N09i7N55Vq9axevV61v67iYz0E5Mlefr4ExASjX9IFAGhMQSGRhMWE4tvYLisFSVJF5Cjh+KYdN9lLFgwm169utZ3cy4q1Q081bhyjpubK126dKBLlw7cdtsNlJWVVajllJGRxbPPvcbX7zyGm4c3zdp0Y/lvX/L66+/zxBMTqv3llJBwiFWr1uHkVLFOlEMDZ/PFd9Ho6QKXxNo5nKWy5ZCBhVv1bKQWwRretTRkSBOQWaBwJEvlcLaKzaHgUr0yXXXKbIT+rexsSDCwdr8Rh2YnRmZASDUgBOw6aiDSzyGDTheQZkEOlu8xkV+i4OkiXzep4VCU078fQ701ujWxYzl9bOqCcDRbIS5FP3fLKKiYKpqcq7JkpxFVgZwi/SLd21VjQKvGse+NgdUOSZkqBzNUsgrPlOrrh2bUM4DGjBnF2LGj6dChTfm9w4ZdyqFDmyuNRmjIVFUlNrY5sbHNGTfuVgDy8vJJSDhU4Wd//B6WrP2DwgJ9uKCPfzDRLTvjFxyJb2AYvgGh+Bz7bTLXYc+vJJ2jg3u3oCgKkc3bX1TB04DQKFSDgbi4eBl4aqDOqWTz7Nk/k5GRxU03XYe/vy8A/v6+fPrJm+zYvocNy+dx+xPvceUtj/LGG1NZtWo9r776DO3btz7junv37sb69X/x5psf0Lx5U66++nJADzwZL9IhMooCEX4awd4a8akq+1MNHMowEOCh0SLYQYi3OKte1RKrPpzvSLZKqU3B2SQI89UI99HrMjQEBhW6N3WgqvrMhp7OAl/3htE2qeErLIPiMoXwKBmwvJAcr8OVX4Ks8SadF5kFCt6u4oxDcdPzKy/gahH4umn4uAmaB2nUYPKvButItsKa/VWfKhpVQbivhskIabkKTiY9WBwb6miUNa0uJJoGKbkKhzIMHM1REAKCvAQ9mtpxMevnioqi19pSFH2eRkXRi76PWv3daS9WL6Sg06l4enrQqVM7OnVqV+F2IQQZGVls3rydNWs2sHHjNnau3kJKSgqapp8/GE1mWrTvSdvug+kx6DosTvLLSWo4Vv4xm9nTngFg+E0Pc8Utj5Tfd/w9XJOZKS8kJpMFN3cvsrNz67sp0imcU+Dps8++ZevWHbz44pvMnv0Jl18+CNDf0Pn5hUS1C+HHTyaSFL+DG8a/zN9zpzNgwNXlM1t07NiGe+4Ze8ovMUVR2L17Hy4uLugjAhXK7AoG9eIOOJgM0CpUo0WIxpEslbgUlZVxJtycBM2DHEQHaDWaBc+gQlqeSqSfRrivhq/b2QWw6pqiQOdoB3nFCqv2GRncxtYgMrKkhs/ZBBaj4GC6gWAvu6zvdIGwO/QZsEqsCnDhHvePZ5IGeWkEeV24+3Ex2HDAwKVt7JzqK1QISMtX2HWk4hL+7hqXtLY3qqLZB9JVNiQYEFTeKW9XjV7N7LjLWs0Ninas4PvOIwbKbApeLhrtIvQSBdUf9tiI3sQ1pCgKAQF+DB06kKFDB5bfbrPZSElJIynpKDt27OaPP5cz59MXWTznY66/eyLte152UWWWSA3Xkjkfl//fYDqRdmqzlfHahKGUFhdy5zMf0bR148wIMpktlJWV1XczpFOocY0nD48TQaJ9+xLoP+BqSktKAfj+++kMGXIJAC1b9aFDv+tYuWAWqiIoLCyk+8BradWpHylJ+zmcsJPdm/7h44/fYPToa8rXabNDXolCsRXKbAoGVc9w+uijGXgHNSWy7aVcEmsj0FOevJ8ss0BhX4rK4SwVowGaBGrEhjown1NosWEqscK/8QZyClV6NLUTIodOSdVwOEth7X4j4b4aPZvVX8F8qXpKbfD3ThOagMFtbDhdoLViUnIV/tlz4uSvZzO7rFPXQFnt8OtGEyO7V11TzO6AFXuNVWY7DYy1EdAIzkuOn0vkFqvklyg4mwUGBTiWFaMqgiAvQbsIhwzgNzDp+QqbDxrILVaI9tdoXoulGKTKDh5M5MknJ7FkyXLadL2EEbc9QXiTM4/okKS69NOnL/HP/K9p1bEP9zz/GUaTfvJUUpTPoyPbAuDlE8CkL9dgMDa+8dAvjRvA9VcP5JVXnq7vplxU6qzG08maN2/Cxg2L6NhxEDabjZtuupdJk57m7rtvxcli4ciBPRQXFbBkyRy2b9/NK69MZce6xYx9/D2uHvskj49qx9GjqYB+QheXorIn2YDdoZ/xKYjynrYOg+8FodE6zCGDTlXwcxf4uTsoKnOwP9VAfKrKoQyVjlEOInwv7MKm/+Vsho6RDhbtUFkRZ6RVqIP2EfJCTjq9cF9BXomDnYeNeLmIei+aL1UmBGQXKRxMV0nMVDGoMOgCDjoBeLkIWoc6OJytX8ivizeQnKPgagEPZ0GUv3wfNhR5xQpGAxW+Lx0aHMxQSc5WySlSKLFV/jKN8nc0iqAT6AXR0/JUrHa4oqO1TicxkWpHcZle/D0py4Cvm8bgtnZ83RrH+7Ehi46O5Mcfp7NgwWKef/4NXntgGB16DmHYTQ/JAJRUb0beM5Fr7ngGg9FUIQvP2dUDV3cvigpyyc1OpyA3Cy+/oHpsad1QDUYcDtm53FCdU8bTcXPm/M7ddz+qr1BR8PL2Iic7B7PFicGD+zPr62koikJOTi4TJjzDX38t5ZEpPzJ/1lvs27GOkLBwnp62CLPFiaZBGtH+Gi5mgdmoD65wOMCu6UPMDiQkEBDgh5eXJ0ePprBt22769OlWZbsuZsVlsPmQkSPZKoGeGl2iG19KfGEp/LXdhM2hEOSp0a+lvVHU1JDqjiZge6KBvSkqg9vYZZ2wemZzQH6xQl6JQn6JQnKOQn6JirNZD8g0DXTg2kiG0woBf2wzkl9S8SDVKsRB+0h5ktQQJKSpbDxg4JquNsxGvU7O6n1Gjuac+ovFYhJc1cnWqL57ymxwKFOleVDj6rRqbBya3mG7+4gBgwHaRziI9pevWX2w2+389NNvvPHGRxw6lEj7npcx+NpxxMR2kUPwpAZBCMGDVzfHbrPSY9C13PboOyiKgsNuI37XBpq369ko3qvP396LsbdexXPPPXLmhaVaU92Mp1oJPAG88MIUZn45h3temMGaRT+Qn5NJ2qEd/PvvAnx9fbBaraxY8S/79iXw4otv0rJjP25/4l22/buYvVtWIRBMnngPndo1OWU7Fi/+h1deeZsJE+5k1KirmDPndx566Dl2716Np6c7R46kEBoa1Cg+OLUlOUdh00EjJVa9PlKTwMbVu15ihUXbjZTYVDycNYa0k/V7pNPTBMzfbCLcV6NjlLzgr202hz67VX6JUh5UKrHqxW3hWKUmoV80nZw9crwwc3SARqCnaFS1co5bu99AYmbF2kAmg+C6brZ6apEEx2qJKbB0l5GsQpVezeyE+Wqsi6/8eh3n567XRAz11mRWkHReaRoczVHYnmSksBSaB+ujARpjaYULzfEA1JtvfczBA4cIj4ml7/Bb6TrgKpycXeu7edJFLivtCAAmixMmkxlnVw/WLPqRWe8+Qd9ht9Bn6GjCm7S5oK+jnxjVnscevYuHH76nvptyUTnvgaeZM7/j0Udf4P1f4zCZnfj9m3f4++dP6NOnO2aziQ0btpKZmYXRZCamZUcGXTuOdt0vRQjB4fidvPPUDXTq1Jrpn75NWFhwldvIyytg3754mjSJwsfHm5KSUoqLi/H19cFms9G2bX9uv/1GnnrqgWo+TRcHuwO2HDKQkG6gXYSdViGNq0eszAaLdhgpKlNxcxIMbWeTM+pIp/X3TiNmI/Rtaa/vpjQa+SWwP9XAwXQVu6agIHB31oeTlc+iBCfVigE3Z4Gns8DDWVwUn9nNhwzsS6m8oyO7W2XAvJ6U2uCvbSbsGtgcJ74YVUWgiYpflL5uGmE++k9jyyCWGjYh9ID+oQx9GHKZXSHQU6NTlANPF5m529BomsayZauZMeNbFi1ahslsoW33wXTpP4LYzv0wmRpJKq90wRFC8NyYHpgtzkycvoyv3nmMdX//jMWiF+Xu3Hc4dz794QUbfHpgRFMmT36Ou+66mZQcBQ8X0Wgy5xuyOqnxdOON9xIZGUp2Th4bN26ntKQEN3c33NxcOXokmVYdemMy611/PQZdx/4d69iyIwFFUTBYPOk9ZDCxnfrRvudl5QXN/pn/NT98/AIA69dtYcAl1zDv169o3bpFpe17errTtWvH8r+dnZ1wdta3ZzAY+PTTtwgPDwVg7twFzJ+/mOnT38JovLi7gYwG6BLjwNks2J5kpNTmoGOko9EEnywmuKytnUU7jBSWqizeaWRoO3uj2T+pdpVY9QK6naJltlNt2ZCgB7YtRkGLYD0TxN35zFPSX2xaBDtwtQjcnQSaBqv26d+DJVZk1kw9URVwdxaVCoYfDzr5uOnD/0O9NTmLqnTelVjhUIZeszOvRMXJpA9DjvKXhcMbMlVVGTSoL4MG9SUp6Shz5vzOnDnz+eTlu3B182TIqAkMvPpODIaL+/pEOj+EEPz140f8M/9rHn79e3Iy9frKtrJSDuxaz733juGFFx7n229/5oknXsTVw4fYzv0rBEkdDjtxW1fj5OpOTMtO9bk7p1RaXIjdbsPLSw98bD9swNUCvZvLa8KGokZHvCLNk/XbkrA4udJ98E24uHlSUlxIaXEBrXt703/4rQCsWPANv86cjN1WRstWLbCWWSmzWtm7aQmr//qeISPv4+rbn+LA3s38/NkrjBt3G7fcch0jbxhHZmYWgwePZNSoq+jYsS1du3akVatmZ2ybqqr079+r/G+TyYiHh1t50OmZZyZx3XVX0KVLB4QQF2wk92wpCrQJ17CY7Gw6aABBo7rwPh58+nO7kbxilbX7DfRq3nj2T6o9u48YUFXkzGK1pLAUEtINtA5zEBsqZ7o6HVcLtAjW33d5xSduX7jVhJ+7nhlmMoDFLAjw0H+kumU2gq+7ID0fjKqefZddpL+J/d01Lmltb5TDPqXzSxN6dnaZTaHUrv8us+n1S0utClYH2OzHf4PVoWCz61l4qiII9dFoH2kjyKtxDkNuzCIiQnn00Xt59NF72bNnP198MZvPP5/Mpn9+4+aHphDepE19N1FqhGy2MrJSD5OblcbSX2ewY/1SAArzs8uXObB3Mxmph7nssgE4Oztx5503kZycyqxvfmbFglnEtOzI42//QklRPh++MIYDe7cA8NBr39KyQ5962a/TyclMBiAsLISiMsgpUskp0mej7dNClmJpCGoUeGratjseXv54+4fg4x+Mk4s7muZAczhwcnHD4uTCgT2b+O7D57jiisFMmzYZLy/P8sdnZGTRvHkPHJqdlKR9fD75Pjp0bMMrrzyF2Wxm6d9zuPqasSQlJbPgrzV8/fWPCCF4++2XuP32G2u0Y1deOYQrrxwCQFFRMatXr6dv3x6Ang318stvs3btQlxcLq58+WZBGkLohcdDfDSCGslMPKAHn4a0tTN/i4mkLAMeRwRtwmRwob4JQYPpaTiarbA/zUCnKLush1FLjmeKRPhq8ku9BhzaiQ+FJhTS8yt/SAbG2hrNbGkNWU6hgrNJ0L+VHS9XQVKmSmqeQotgh7zIl07LZociq0JxGRRb9Xp2ZTYoPRZYKrMrlNrAaq/8RlIVga+bwGoHk1GfQMfFLDA5g9koMBkEzmYI8dbk91Uj0apVM958cyKjR1/NAw88x+sPj+DSa8cx4rbHZfaTdM5Kigs4sHsT+7avZcWCryktKa5w/+1PvMuOdX8D0KpjX1b/+R0REeHliRuKovDCC4/x/POP8uuvf3DHHQ+xd+tqNv7zG5kpCSxYMJurrxlL4v4dDTLwlJl6GIDQ0GAKSk4cc0uscObCQtL5UKOj3M+fTTrlfU7Oroy850ViWnXCbHZi9eqNzJ27gNtuuwGjUZ/a8OeffwfA0yeQ1x4Yjq+vN1/OfA+zWZ8rOyQkiIULvmX4FbeSkVXA/z5axMqF3/Looy8QFBTA5ZcPOquddHV1YcWK38r/bto0mptuuhYXF2ccDgdTp37KuHG3NpqZ8ewOyMhXKCxTKC5TUBUwmwTmY9NEawIMimDPUQNBno2rxo2TGYa0t/HnNhM7DxtwOKB9pAw+nS9WOyTnqKTmKhSU6j82B3g4CbzdBC2DNbzqaXhAQQmsSzAS6q3RLEi+J2pLiLeGq0WwKs7IpW1sWEz13aILg4+boH8rG3uOGioN84JjxdblrIvnRU6xQu/m9vJjU4SfRoRfPTdKahCE0OuA5RYr5BUrlNkhr1ilqAyKy5QKdcEUReBi0s+3LEZwsQh83ASWY387mQQW04nfRrXhdMpI51fnzu35559feP/9GUye/B5ph+O548lpmJ0urs5wqfb89eNHLJz9HlZrKb6+vlwxfBA2m4158/5EURSG3fgQPgFhzHzzYQBCo1uyZO5nvP/+a6j/mZZVURQGDeoLwG9fvUF68kEemDCGXr26EhQUWCFrqiHZvm4JoaGhhIYGYXUIDIrAIRRyi1XWxRvpGGU/L0Pmi8rgaLZKZoGCqoKzGZxN+veBr5u4qI/7NSouPnr0NbzxxgscPZrC0aOpFBUVYTAYUFWV+fMXM3v2z4yeMIn23Qcz7+s3+XfJHAKDAmnTugU7du4lPS0d38BQFBRCAj1ZsOBb3Nwqz/KQmprO5cNuorBE4/mPFzNj8gQSdq7lgQfupGnTaHx8vPD19cHHxxtfX+9zylrau3c/l112A3///TPNmsWwcOHfqKrC0KEDz3qd9Sk9X2F9vJHCMkU/CTLrgSar/UQP+/HhBN2aOOotCFDXcoth0XYTmlDwc9fo3dyOs1nvnVRVLujMjOOBxdQ8Fdux0YTlhZvRfx8/4fV2FXXaU6oJyCtWyCpUSM7WswQ0oeDjquHpInBz0ocO5ZcoHMxQEQKu7mI7r723Qug1MjYdNOBsRgZH6kBBCSzZaToWTGlcwezzobAUSqwKcSkGjmSrtAxx0CbMcVEUXG8IjuYohHo3zu9C6eyk5SnsSTaQfuw7TScI9tIvGlzNAheLwMWiB4ldzAInMzJDTqqxxYv/YcyYBwiJjmX8xC9wdfeq7yZJF5hD+7Yx5eERjBt3Gz16dGb58jXMmfM7ZWVW2vcawoArx1JaVMAXbz5AaXERAN5+Qfj7urN61W8YjUY0TUPTtPISNTt27KZfv6voOuAqNiyfx2+/zcLLy5N+/UYw9rGpdB90bX3uciU2aynP3NKNe8bdxDPPPsqy3fostSdTFUGTQI3mwQ7c66iuZlaBwtLdxgpZ7SdzNgvCfTVahThwNtdNG+pDncxqFxYWyq+/fkmTJlGVlhFC8MQTLzHrm5955YtVeHj7kxS/gw3L55GRnIhvYBg7Ny4j/ehBunbtxCefvEFMTOQptzljxrc89dTLTJm9GZPZwpzpL7Nm8Y9ojsp1ey6/fBCzZ39ypt04pUOHkoiICENVVcaNe4ySkhK+/HIaBsOFddZfYtVrhXi6CDpH6zOdnHwS5ND0i/CL5WKm4odfT1kvtUL3pg6i/C+sjJeCEkjOVUnJUcnIV3AI5diJrgBxbIp69NdXAEWlCvZjBz13J4GPm4aPm8DHVeDlqgeDasJq13t3i63674JSPdiUU6TgODaDma+7IMJXn/Gpqh6FI9kKq+JMDGptw/881a6x2mHDAQOHswxE+TvoHO2o8b5L1ZOQprLxgIFrup7fwGJjkpGv8PcuEy1DHHSIlDXqJOl8K7PBmv0G0vIMKIrAz10Q5KkR4qXh6SoDS1Ld2LRpGzfcMA4nN18mvPwVPgGh9d0k6QIy76s3+fOHD/Dx8SE7Oxtvv0B6D72Z3kNGY7Y4MWf6K6xd8lOFx4SFhbJgwTdERISRk5PLyBvGkZWZzZw5M/DwcOeSS65FdfKiuDCPJpFBPP74eCbc/wxObv48/vYvmC0Na0aUTSvmM+P1Caxd+wepWktS806XYaBfr7QNd9T6DLUH01XWJZz5JDjEW6Nvi8ZT9LxOAk8AQ4cO4rvvqg7yHDqURMeOg7hv4he07V5xWJwQgkdHtuahB+7g6acfPOMOXHPNWFJzBQ+99h0AqUcSePPRqykuzK+wnIeHO7NmfUi/fj3PuM7qOF54XNM0Nm/eTps2rXByslS4r6GKS1HZlmjgqs4yo+M4qx3WxRs4mqNyPCdoSDtbnc0GY7VDXolCRr5CUSkIFCxGfZhZoIeo0etis0NSlsqBdJWsQhVV0YsNB3tpBHlpeDifOk1fE1BQopBdqJBdpP/OKTrRc+tk0mfWcnfWf1tMJ4JWZTYoKtNrVRQdq1thP3k4AXovr4+bhq+bKA9onSmgqQlYssNIUZnC0Pa2Oo302xwQn6oSl2LAoUHXGAcRsph4nTr+ZXtZWxs+bjJ7pCYcGuxPVdmXYqDYqtA61EHbCBl4kqS6VGKF+DT9+7XEeqzwtw2OnysoCPq0sBPqI49nUt2Ljz/ItdfeQWGJnQkvf01oVOXZvSWpKsWFeWxetZDczFTCm7ahTZcBGIwmdm/6h2/ff4qykgJen/wsiYlHeOutjxg27FLeeutFgoMDcTgcXD/yLjZu2klpSTF333UTcfsOsGnzbjr3u4ql8z7H1dWVoqIiWrTvxe1PvIenT0B973IFmqbx+oPDiQh2Z+bsb9lyyEBu8cnZqpUZVUGEn0a3JrV7rlVYCvO3VO8Cp3WoQy9X4aSXw1Ev4NE41Q081ahfWlVVhg07dZ2l5cvXALB17Z94+gYQFtO6fNyooihEN+/AnDnzCQsLxt/fD09PD8LDQwgNDa6wnuLiElau/JeR97wIgMNu48s3HyIo0Je3vn4Po9FIq1bN8PPzPWObU1PTWbhwCe+88wnvvjuJSy/td9rljweW4uMPMnjwSH799Sv69+/FW299xN9/r+SPP7474zbrk4JepPJiJQTkFOl1GPzc9WFmfVs6SMrUWBtvRAiFf+MN9Gthx/Ucg/U2ByRm6tMcF5Tos9GI0xzkQOBs0qPcLUIceJwiym61w64jBuLTVBwaBHsJejWzE+KtVTtbTVXA00Xg6SKIPnabpulBsbziY/WXSvTn6nCWWqFOhcV4bAiBGQI9BS5mDVeLPnzP2axnjp1Nr6+qQL+Wdn7dZCY5R6VJYO0HgkptsC/FwP5U/bmL8tdoHebAVU6DXqeKy2DTQQPhvo6LeorvlFyFQxkqbscCsz5u4owB1vwSWBVnIv+kQpiJmSotQ2V2niTVlZxCWLzTdOzCRM8OVxW9wLdAYHcoOJn18whJOh+aNo1m0aIfGDnybt558nrufX4Gzdp2r+9mSRcAFzdP+gw9MQmXEIJFP33CLzMnM2BAb95//zX++ONvpk79FIC9e+MJDg4EYMqUD/hn+Wr6XzmG5b99SULCIZb+vYIJL31JWUkRcdtWEhrdmh6DrqNlxz4NMgFj4Xfvc/jAbj5+/1v8PQSXtbMjhN7h7dD0EiV2TS85Y1T1YdF1dX7l5gS9m9vYmqh3tJ/OrqMGdh090ZAQb42uMfZGNQTvv2oUovj++09wc3Nn2rQZbNiwlZKSUjp3bsd9992Oh4c7ffp0Z+jQQaxcuYA1i37E09uPFh360rpLf1p16sf197zIzDfu54EHni1fp6qqPPXUAzz55P3ltyUlHcHhcBAS1RKA+d++y9GDe1i06Ec6dmx72jaWlZWxdesuli9fzZ9/LmPr1h3l9x3PXKqOqKhwli6dS/PmTQDo0qV9efHxPXv24+HhVilgVt/83fUiasnZCmG+F+fJkqLoRXtLrHAgXaW4TMGh6WNqXc1QWKYXBv19iwl3Jz1Lp9SmYHfoJ52qevzkU+Bk0oMtbhY9M8jVIjCoUGLTgzUJaXoWlaoIXC16oMfFrOHlquHnBh4uei0IuwMKSxX2JKuk5akkpBtISDfg5aLRv9WJA4xD02sRbT9WFL1liEaTAEetFcJTVfB2FZUCA8cznRTqvtCpyaj3MhzMUAnx1mrl4FpqhcxChdRclYMZeqC7aaBGi+Dae+6k09ubYkBVoFuMo9GkDZ+Ng+kqSVnHTyL0324WQctQB9H+Vc/6ty3RWCHoBFBYppCUWTfBWUmS9KHrzmZBz2b2Kou9apreuSSzx6XzKSgogAULvuGWWyYw9elRtOt+KZ36Dqdp625y+J1ULQ6HnR8+eoGVf3zLY4+N58kn7+fppycxc+Z3GI1mwMEtt1wPwJIlK3jrrQ+57PrxbFwxj27dO7Nu/RZ6Dh5Jm66XANC53xX1uDdnNv/bd1nw7VSee+4RevfuVn67ooBB0Wv6nij/cH6ujcN9BeG+NmzHrv8KShRyi/WRJ7lFCiW2qk+Uk3P0RAZnc+O9hq/RUDs3d3cKCwqwODkT2bw9FicX4rat4YaRVzJt2mvly1utVjZs2MKSJStZsmQlO3fuRlVV+g2/lRFjnsBoNFFUkEdxYR5fv/MYLqYy1qyejxCC/fsPMHfuAqZMmcarX60lO/0oU5+6gWeeeYjHH7+vUtsyM7NYv34L69Zt5t9/N7N1206sZWVYnFxo1bEvW9f+BcD3309nyJBLzvkJs9vttGjRi/Hjx1bZnvokBPyzx0h2kcKQdjaZ5XGMzQ4ZBcqxGlf6tOXxaRVD3SaDHlgCPSpus+uzsWkCTpTtPpmeTdQx0kGgZ81mKMgu0i9QswtVisoUmgc7KLUqJGWplNoUInz1+i6NNWiSkqOwap8RTYNQH0Gkn56RZDHpwb7/Xpwf77FwHOuxKLPp9aWyChUyC9TyHgVnsyAmQKN5kENeLJxnC7aYCPLU6BxzcQ8PKy6DP7aZKmQQHudiFsSGOogOqBiA+nWjidL/nIR0a2In2l+7qIN4klSX1uwzUGZXuCRWToYgNTxWq5Uff5zHp59+w86duwHwCwwlulUXQiJbEBzRjOCIZvgFRaBeYPVopbpTWlzIjNfvI27raqZOfZnhwwczZsyDrF27kZjYLuzbvpbx42/n1Vef4fDhZPoPuJqwph0IjmjBivlfcv31V/DDj7/zyucr8fILqu/dOS1raQk/TX+JVX9+x//+9yiPPTa+vptUbSVWOJKtEp+qkldybGQYgubBet2pC7EWc53UeBp0zd10H3g1IVEtMRj08OHX7zzO2iU/sXfvGgID/at8fGpqOj/+OI8pUz7A4uLO9eNepGPvy1EUhZ8/f5UlP0/H19cXi8VCcnJy+eMmf72Ot5+4jpjIQBYu/La82HdS0lF++OEXfpqzgP374gHw9g3EOzAcW1kpqYf3Y7OW4eUTQJPW3di8agE//PAZgwf3r/4zeBo7duwhLCwYb2+vWllfbSqzwS8bzXRvYic6QPaWVyUtT2HZ7oqRiY6RdlqEVH6+NKFn1Oh1jvRsKEXRgySnGipXXaU2WBdvJCNfT+kP8tRoFuTA0+Xc1nshsNr14UQJaSq5xRUjTUaDXvz8eLDJUcXwRVXRi6T7uQv83AS+7poMtNYTIeDHf010inbQLEgec3KLFdbHG7DaFRRFn1b35DoDzYL0IvegP3e/bDRhtZ+4v2mggy51HMDTtAu7loAknQshYNEOI64W6NNCBp6khi0rK5t//93E2rUbWb9+K3vj4inI1+vdmswWgsKiCQhrRmh0S1q060lk8/bl12jSxUMIwZuPXs2RA7v44YfpZGXlMPHFtygoLKH7pSNZ+uvnjB51NR98MJnk5FRGjbqHtMwC7njqA95+4nrGjx/DrG/m0LHv1Ywa/3J9785pHT0UxxdT7ic7LYkpU57ntttuqO8m1ZgmYPNBA54uAi8Xfbb5C7nTvE4CT298txl3zxN1lTavWshnr42nabMm/PnHbHx9fU67nsOHk3nyyZf588+/6TP0RkaNf7m8+Fnivm2UFBfQon0vPLz9KSku5OfpL1NWlMniRT8QERFGWloGDzzwHIsXL8PJ2YX2PYfi5RdERkoSezevoLgon1atWnDddcPp1asrL730Nhs3biU4sjlpR+L5+qtpDB06EIAvvpjNu+9+ysMP38Mdd9xU3eeVXbv2MviyG/h8xlQuv/zU9a7qS2aBwpKdJvo0t120w+3OpLgMdhw2cDDjREg50s9Bz2YXd7ZGfRBCj/yX2fWirqU2hTIb2BwKBlVgVPUMKKNBH6JnMIDZoA9rrGrYklQ/ftloolmggzbhMvD0X5oG+SUKqXkKWxONKAiGtLfj4STYkmhgf+qJ45CHs2BQ6zNPDrH1kIG2EY4afQY0oRfc35tioGWwg+bB8rWSLk7Hz5P6tbQR4i3Pk6QLixCCtLQM4uLiiYuLZ+9e/WfHzr0UFhTg7OJG0zbdaNG+Ny069CYkskV5vV2p8bJZS3n2tu4U5ucSGRlBYmISHXoOoV2PwXw99XEAOnfpiIe7K+vXb8HJ1ZPxE2diNJl545ERaA4bDk3w8owVDTrbac2iH/jh4xeIjo5g5hfv0qpVs/pukkQdzmoXFtWCboOuo6ggj3/mf0nnjm349dcvMRqrH12fNesnHn1sIh16Xc4dT75fqVBZXnYaH714B/lZR1gw/1tiY5sD8PTTr/Dpp19z26Nv07H35bz/7E0cjNtKZGQE1103nOuuu6J8WdBTVY+Paw1v0pqUpH18M+tDhgy5hHbt+nP4cDLh4SFs3/5Ptdqdl5dPVFRnAP7443t69Ohc7X0+X5bsNFJqVRjW0San/T2D/akqWxMNODQFBUGUv0bXJg75vElSDa3ca6SoDIa0azxTw9aFtfsNJGYa8HTWjgVbj82epQii/fUU6+rUPftzm5HYUK1GMzVuTzKwN1mlfys7gZ7yYlu6eK3YYyS/VGF4B5s8XkmNht1uZ+vWnaxY8S///LOWdes2UVZWhoeXL83a9qRF+1606NAb/+DIBlkgWjp3WWlH2LL6D5IPxdHj0uvw8g1i4t0DAHBx86B1l0uwWcsIjmjGoGvuwtXdC4AjB/ewdfWftGjfq8EWtHc47Pz82SSW/TaTW2+9gSlTnsfZ+RxniZJqTZ3MajdlyvOsWbOR379+E4PBwLhxt/Lww+NqFHQCuPXWkbi7u3H77Q/SpusldB94bfl9m1ct4KdPXsTJovL7b7MqBJKOF/Nu2robZrMTifE7eO65h3nssfuqPIiazWbefvslTCYT06d/TUTTNtx192MsXzaXhx++pzzjqbpeffVdAJo1i2mQQSfQK+JvTzLyx1YTni4Cfw+NZoGaHFZRhWZBGlF+Gun5CnEpegaUl6ughcwEkKQaCfPVWBdvpNiKHPJ4GlF+GomZhhNj+o8FnGJDHbjV4PxJCH0a+JoEnlqHOYjyd+Auz9Oki9jRHIXkXJXezWXQSWpcjEYjXbp0oEuXDjz66L2UlpaxYcMW/vlnDcv/+ZcfPn4eh8OBb0AIMbFdadK6K01iuxAS0VzWiWokfAPDuPTau8v/FkJgtjhz7V3P0euyGzCZqj5BC4tuRVh0q/PVzBorLS5k+mv3sm/bGt5880Xuuuvm+m6SdJZqlPF0ww1X0b17JzRN4OHhRrduHYmKijjrjY8d+yD/rNzEC5/+jbOrB3ablcduaEtsbDNmf/tx+VSPAJqm0a375Vg1C0+88yslxYU8dVNnvvnmI4YPH3za7WiaxoMPPsf33/+Kl28AHds156efPqtRW0tKSgkJ0WfU+/nnLxg4sG/Nd/g8EAIOZ6lkFugV9DPyFcJ8NXo3l8PITkcIfRa8nUcMtApx0DRIk5lPklQNVjusijNSYlUYJjMITsuhwc/r9SncXcyCPi3s+LjVPPto4VYTBSVwfXdbnQw5LSjRa7Cl56sMiLXLY6HUKDg0+GOrCVcnwYBWMjtTurjk5xewZs0GVq1ax9p/N7N9207sdjsubh6ERrXELziSgJBoIpu3p0mrzpidzrGQqSTVgtLiQj6cOIbUpDi+/eZD+vXrWd9NkqpQJxlPv83/mzk/z0dz6EEMN3d3VvzzC9HRkWfVyFdffYbu3S/nk5fv4t4XZmBxdiMwNBqT0URQUECFZZcvX01C/AEee3MOJrMT6UcPARAQ4HfG7aiqytSpL7Nh4zYKSmD5P6vJyyvA09O92m2Njz9Y/v+mTaOr/bjzTVEgwk8jwk+vZfTbZtM5F8G+GCgKNAnUCPHW2JpoIHGnka4xDrxc5ZAUSTqV3CKFFXFGbHbo1VxeyJ2JQT02PbsQXNbOhlMNC0naHJBdqFBcBl6utV/nTAhYvc/IkWx9xaHeMgAvNR77UlSKrNC3pTxWSRcfDw93hg4dWF7rtri4hC1btrN27Sb27t1PwoE4lq77i4L8fIwmM9EtOtC+11C69h+Bh3fVk0dJUl3KSElk5hsPkpGcwC9zv6BLlw713STpHNUo8PTKzFW4uHqCEBTkZTL1qVEMvfwmhl0+kJycPI4mp1JYWMTYMTcwbtxtpx1DvHr1enbv3sdnn73N+PueYupTo5jw8pdcc8dzvP+/W5g9+2duvvl6QJ/R4aGHnyemZUeaxHYBID8nA6he4AnAZDLRr293Fi5eh91mY+nSlVxzzbBq73tpaWn5/wsLi6v9uPpkMoKCPs28VD3OZujZzEFOkcK2JANeLoK24Q45VFGSqrA3RUUBhrSz1Wio2MVKCLDZITpAq3HQCSApU2XDAf1r29+j9ocEKwq0Dbfj76Hi6SzwdZffHVLj4NAgLsVAtL9WazPHCqHPTludumyS1NC4uDjTu3d3evc+UdNHCMGePftZtWodS5et4teZk5n7+avEdurHZSPvo1mbbvXYYulioWkaKxd+wy9fvEaAvy/zfv2STp3a1XezpFpQo8DTvq1r8PQNRHM42LH+b0xmCw6Dkb9XbMPNwwdPvybs3TCHp5+exNixo7FYqh5LmpeXz6hR4ygqKsJkNtOieQw7d+7mzceu4Zrbn6X7oGu5//5nePe9GfTr250tW3ZSUFjGk698iKIoHE7YyQ8fP4+3tzeBgQFVbqMqmqZhNJrw9PEnPv5ATXad8PDQ8v9v376rQu2pKVOmoWmCZ555sEbrrGsmAwR4CuKSDUT5aRjlEO5q83YV9GtpZ8dhA8v3GOnTwo5Zzk4rSRXkFikEemoy6FRNxzMra9IZkFWgUGyFYC99AoR9qRp5xSqBnnVTi87TBTxdZJ07qXFJzFQptUHLkHMvOxCfpnIkSyW7SKF3c7vs3JMaDUVRiI1tTmxsc8aNu5Xs7Bx++WUhM2f+wDtPjqR15/6MvOdFAsNi6rupUiN15MBu5kx/mbjta7n99ht5+eWncHNzre9mSbWkRnkcn02+j7cev453nrqBzcvnoNgLSEnazyVX3cmDr81m+E0PAXD//XeeMuiUlHSEnj2HUVRUxFVjnsTbP4ydO/cCkJV2lBmvTyApfid3Pf0hwU17sHDRWjLzbNzz/Ax8AkJZv+xX3nj0GgJ9XVi8+EecnKpfyTYhIRHvgHBU1YDdXrOTj6CgADp01KOt338/r/x2IQSvv/4+b7wxjX37Espvs9vtNVp/XekUZaeoDHYekVGnmlIUaBfhINRHY/keI9aG8ZJKUoNhdyhyyEoNdYxy0DKk+oGdFXFGVu8z8etGE6v3GSksVTAaBEFyZjpJqraMfAUfV3FOpQccGsQlq2w8YCQ1T6VjlEPOECk1aj4+3tx5582sWPErX375PkXZh3jj0avYuWFpfTdNamTystOY9e4TvPbAMGxFqcydO5N33nlZBp0amRoFntasWciaNQv59NO3aNosmsOHjxIQEklIVEsAfPxDad6uB9M/+4bffvuzynW8+uq7pKSkATDvqzdIP6pnHnl4+9Om6yUApCTuI7pVJ2564DUmTl/Osx/8SXTLjqxbOpev3n6E668fzqJFP9CkSVSFdWvaqU/mS0pK2bBhC1HN21NSXHBWb+QnHh8PwD//rGbXLj1YVlZmLb//2mvv4IYb7sLHpzn+/q2wWq1Vrud88nSBVqEa+1JUahhrk45pEawR6CFYtttIaf2/pJLUYIT5aBzJUjnNoVc6R31b2FEVgV1TSM5RcWgKfm61X99JkhqrghI4kq3iexaF/E+2bLeRLYlGVEXQNtxOtL888EkXB1VVueqqy/ln+S/06d2ZDyfezpdvPkxy4r76bpp0gbOWlrBw9nu8ePcA9mxYzOuvP8+/axdwySV96rtpUh2o0alraGgQrq4uTJ48jb37krj72Y+Z+OkyIpvps70JBIOvuxdrWRljxjzAwoV/V1rH1Kmv8Ntvs1i8+Cd27VpJWtouPvhgMhYj7Nu+lk59hvH8x4vx8Q+p8DiH3ca37z/NtdcO58MPXq+QUWW32xk37nGGDB2NzWarsu3Ll6+muLiY9j0vIyA4ir1742uy6wBcfvkgmjVrAsCrr74HQE5OLgDXj3sBz8CmLF78DwC33joSs7lhDPx3MQs0oZBTJFMTzla7CAdOJli808SBdHnFJ0kAkf4aZXaFtDx5bKkrfu6CztEVew3k0B5Jqp7CUlix14STSf8eP1uaBuG+Gn1b2rgk1k6Qp+DMc0JLUuPi4eHOd7M/Ydq010jYsZJXxg/mzUevZsPyeaft/Jek/9I0jX///pkXxw3gzx8/4K47b2TLliWMG3crJtNZFMGULgg1uoJeuHAxvXoNJyeviJsemIzDYWfZbzPJy04H4PuPnufDiWOxWCyYzWZ8fLwqrcPFxZm+fXvQpUsHQkKCMJvN3Hzz9Wzc+BdPPD6e7CO7mPa/W8jOSK7YUIMRIQRdurRHPVbpOTs7h5kzv2PgwOv56ad5bNywhUOHDlfapsPh4I03PyKiaRuCI5oRE9uF+fMX89ZbH7F58/Zq77+iKDz44J0A/PHHElJT09myZQcAEU3bkp+TjqubG9999ynvv/9atddbl2wO2JpoIMRLO6tpuyWdokCXGDtldlifIIctShKAl4tAVQQFpTLwVJeaBGp0jbEDAjcnQZcYmb4qSWeSlqewaIcJIaBvSxumc6jTqCjg4ypISDPw9y4Ti3eayCqUxz3p4qOqKrfcMpJdu/7hq6+mERnixhdvPMjXbz9SJ9srLS5kz5ZV7N70D1lpRxAy4nvBSz2SwFuPXc1Xbz9Kv94dWb/uD1555Wk8PT3qu2lSHavR1/D48U/RodcQ7HYbH7+kB2BMJhPzv32Hy0beh7W0BICOHdvxxRdTCQ4OrPa6PTzcefzx+7j66svp2vUyNq+cz6XXjiu/X1EUwpvEsmmTHij65ZeF3Dv+SWw2G6GRLQiNbkVG8gGWLVvF+vWbufrqYbi66lOXzJjxDVu3bOexN34i9UgC7p6+5Ofn8+qrU5kzZz7//ruw2u10dT0xRM/Z2ZlvvvkZgM9evQcfLzcWL/qRVq2aVXt9da2wVMHmUIgNs8uhGefI1QIdIh1sPmhACGRtG+mil5yjoAlFTlxwHjQJ1FAU2HTQQGM49FjtkFGg4GYBdydBmR2yCpXyY6uTSV9GExDmIy80pOrRBGQXKsSl6AXAAzwFvZrZsZxFB7om9IypxEwDhzJUisoUQODrptEsSMNPzvooXcTMZjMjRgxlxIihjB//JIuXrmPbv4vZtuYvsjOOohoMGAxG3D398PYPxssvGG+/IExmfTYSRVEoLSki/ehB0pMPkZ1+hOKCHIrycxBCQzUYsZaVkpeTgeY40dni4eVLRLN2RDZrT0BoNGaLE64ePvgHReDhE1CenCA1PAV5WSz99QuWzfuc0NAg/vjje3r06FzfzZLOI0VUI3Scn5+Pp6cn977wGU1bd+OJ0R0YPLg/b731Em5uLrz55kd8NuMbPL396XHpDaxZ9B0GHMyY8Tb9+/eqUYNGjLiNlSvX0qHXECxOrpSVFtH/ijG07NCbn6a/zL6Nf/LCC49y771P0KnvFexc/zelJUWoqgEXN0+KC/PQNAcdO7Xn7rtuYv78JSxcuJhul1zD4YQdpCTFoygKrVq1oFu3Dlx77XD69u1RrbYlJByiV6/hWK1WvL29ePfdVxgz5gEAOnfpwA/ff4qvr0+N9reu7ThsYM9RlSs72eSUv7VACL3OQ4+mdlyqX9dekuqVEFBQClmFKtkFCqoKEb56FuTZBlAT0lQ2HDAS6KnRu7mc9fF8EAJWxhnp3uTsLqQbAocG25MMxKeqOIT+5lMQiNOE0wI9NfzdNVQVov01+V0mAfrnISVXISVXJSVHxWoHqwNAwd1J0DzYQZNADbUGx7gjWQr7Ug0UlCqUWkFVwddN4Ocu8HPX8HUTF+xnT5Lqwtq1Gxk27Mbyv1u0aE5sbDOE0LBabaSmZXL0aArpaelVZis5OzsTHRNFdFQYvr7eeHt7YTQasNnsuLg4ExQUQK9eXbFYzOzaFceWLTvYvFn/ycnJqbAuk9mCf1A4PoHh+AVF4O0fgt1aRmFBLkX5ORQX5uLlG8TQURPwDQyv8+dGAs3hYN+Otaxf9iubVvyO0aByxx038vTTD5YniEj1x6FBXrFeMiM1T8XTWdAh0kFN47f5+QVERnYiLy8PD49TZ67VKPD0zpydOLu4M/+bqSyY/S5Go5EWLZvTs0cn7rrrZp5/YQp/L1nBPS/MYPm8L9i7dTXvvjuJ2267AdDHc2Zl5eDv73vKbb340lt89OEXRESG4+fnw9Yt2/EPiea5DxcRv2sD7zw5EiEE3Qdey433v8rD17bimWcexMvLi3emfoqbdyjXj3uRr6c+SkpSPD7+wYwY8xR//fgBqqOYd999ha5dO+Lp6V6jJzQ3N49Bl47kQMJBAD755C3uvfdxANq0iWX+/FkNKkWwqAwS0gzsPmqgdaiDtudQ20CqqKAEiq2KnM1GatA0DVLzFPalGMgq1DMfQc8usTmg1KbgZhG0CtUvzmqi1Aa/bTIR7a/RJcYhs//OI6udCzrIdzhLYfW+s79ybxrokEMNL3JlNjiQrhKfZqCoTMHLRSPAU+BsEpiN4OokCPQ4u6B6qU3PvDOq+ufM00XUKHAlSReT7OwcmjTpBkCnTu157bVn6d69U5XL2mw20tIysdlOzNLj5OREUFAAyll8WIUQFBUVY7VaSU/P5NChwyQmHubQIf3n4MEjHDmajLOzMz7eXnh7e+Lt7cHWbbspKCxl2E0P4+7pQ1FBDiXFhfgGhBIc0YywmNZn1R6poqMH9/Lv0p/Z9M88cjLTiIyK5OabrubOO2/Gx8e7vpt3URACSqxQVKZQYlUosekjoYpKFawO/XyysFQfuXDcFR2tuDnVfFt1GngCSD96kD1bVnI4YRer//qeDz6YzA03XMXw4bewbftubnnoTeJ3rWPlwm/54ov3GDFiCH37XsXu3Xu57vormfHZO9XakTvvfJid8Vk88voPAKxc+C07Nyzlrmc+xGiy8NI9A+nRuQVffvk+ixYtZ9Sou3notdm07NCbkuICzGYnrNZSnhzdkdGjr2batJrXXhJCcN11d/LPijVoDgf33HMbS5asJCHhIP7+fqxePf+0wbS6VGqFtHyV/BKFUhuUWhUKSyGvREVB0DrcQetQTV4YStJFJi5FZcshI37uGkFeek+9r5t+YaYJSM9XSEhTOZxloEdTO1E1mKFpX4rKlkQDV3e2yd5/qUayC/W6O2eiKoJwXw0vF0FesUJhmYK3i6BZsAMP5/PQUKnBySpQ2J+mkpSpd8VG+OpD3s4lc1OSpLMjhMDHpzkAbdu2YtGin3ByavhDAXJz87j//mdYsGAxACazGVcXF3JzcwEIi2rBgKvuoNslV5cPC5Sqb//O9fz14wfs2vgPPj4+XHfdcEaOvJIuXTrIgF4d0wTkFCqk5ytkFqhkFiiU2av3nBtUvSP6bGMG1Q08nXW/aUBoNAGh0QCUFObx2uRpXHHFEObN+4rbb3+QeV9O5uUvVlNSVMDd4x7D4XCQmqoXIZ//+yKOHk0hNDT4jNtJOJCEX1Cr8r/7DruZvsNuBmDnhmWkHTmA35CeZGfnMHhwf9q1a83vs96iWZtu5UEyZ6OJK297nG9nvs6oUVfRp0/3Gu3rH3/8zbJlK3F29aCspIhZs+ZQXFwMwPfff3reg05CwKEMlb3JKnkl+gmYk0ngbBY4mcDXXdA6zE6Ql3ZB94xLknR2Sm2w87DhlNkhqgJBnoJADwfrVb1gvotZEFDNLL4yu54RkJyrEuGryfpxUrXtSz3zm8XZLOjX0o63q8wqvdjZHZCUpRKfqpJdpOJiEbQNdxAdoOEkg96SVG9WrvwXAIvFzJIlcxrMTN5n4uXlyTfffITdbqekpBQ3N1cURSEvr4BNm7Yy/bNv+Pb9p/ntqze4/MYH6X/FGBkwOYPCvGy2rv2Lf5f8RMLuTbRs1Zzp09/m6qsvlzPUnQcODTLyFRLSDBzOrv4JuUHVO6Qj/DQifM9PzKBWNnHNnc/y2v2X88STLzH907e4/vor+euvZezasIwxj75NWUkRd92lz3Yw5IYJ/PXjh/z11zLuuOOmM647OTmVzi36VXmf/Vi65ueff8tXX/3AlCnPM2XK81x55S38MvN1rr/7+fJlL712HNvW/Mnrr09j/vzqB54cDgerVq3D2y+QidP/YdOK35n17hMATJr0DJ06tav2umpDcRmsijOSXaQS5qPRKtROoKeseSFJ0gnbk/Rq323DTz8kSZ+t0UGxVWFlnJGh7W24VqPDMibAQUquwrp4I0mZGv1b2Wuj2dJFwO44/Qm8xSi4JNYms5oucgUlEJ9m4GC6itUBwV6Cvi1tBHvJoW+S1BC0b9+aadNeY/ToazAaL7xebqPRiLu7W/nfnp7uDBzYl4ED+5KQcIj33vuMWR9PJHH/Dm558HUMRhlAOU4IQUbyIXZv/ocd6/5m77bVIAS9e3fnldmfMGTIJbLIex3afVQlu1DFaBAUlSlkFyjlNTPPxGwUtAh2EOIt6mUoea0cKfyCIhh13yt8+dYjeHt58sILj3H55Zcy4/X7eOKdX7nn+c84cmA3KYn76NB7KKsWfsP3P8wjL6+Abt060KVLByyWqq92Ondqx77ta6u8L7ZTP0ZPmERMy4588MJY3njzY/bsXsErrzzFM8+8SnTLTnTuOxzQp/8cMOJ2vnjjQeLi4mnRoukZ90sIwc03j0cIKCrIw2xxIjiiGSazheuvG859991+9k/aWXBosGy3CYcGg1rb8PeQvcGSJFWUXahwIF2lU5SjWsPgDCr0bm5nwRYTe5MNdI4+dbCqxAqZBQpZBWp5AKHEesrFJakSF3Pl7y0FgZerXsA52l+TQaeLWEEJbD5kJCVXxWwUxARoNAly4C5HvEhSg+Lp6cEtt4ys72bUiSZNonj//Vfp3bsbEyY8RXB4My4beW99N6telRQXELd1Dbs3r2DvlhVkpCRhNJno0b0zb0x5niuvHEJAgF99N/OiEBuqkZIr+GfPiZN8o6oPObed1LlnMgi8XfUfL1eBh7PA01nU60zUtRai7j7wWjJSkpg+fSqRkWF8/vlUBg++gc8mjaNFh76sXfwjrh5ebPxnHkNG3c+6JT/x0aezefnltzAYDAwbdinTp79daXywk5MFa2lxlds0OznTf/itAMS06kzcluXMnv0z3t560bJ/fv+yPPAE0KH3ULz9Ann11Xf5+usPTrkvmqahKAqKotCiRVPmzfsLJxc3stOPMn3SODq0b83UqS+f99TLUhsUlCr0ai6DTpIkVSYEbD5kwNNZ0DSo+jWbzEZoGqSxN1mlTVjFgFVesT41eVre8enE9eBBgIdGh0iNIFlkX6qBVqEOzEZBfomCh7MonzHMdOF1mEu1LK9Y71xztQi6NbET4avV6wmyJEkXt1GjrmLz5u3M+mYaPS69Dg9v//pu0nlVUpTPppUL2LDsFxJ2b8LhsBMZFclVw/sxcGAf+vTpXiFrTKpbRWV6JnBesUJxGUT6OQj01GdcdXfSRzHkFCmUWMHVIvBwpsHVP6zVU70rbn6Y/Ox0/ve/yVgsZmbNmsbgwaNY/dd33H//nTg5WXjjjQ/Izkjm+Y8X47DbOBi3lcT925n35RQmTnyDKVOer7DOTZt30KTdJWfcdt9hN5N8aA/33/8MAB5evjRt3a3CMiaThatvf5aZbz7EsmWruOSSPpXWU1paxrXXjuWWW66nR48u/PrrnxQUW3nw1dn8POMVnCwq33zz4SkztOqSsxk8nAVxyQZCvOzyhEySpAqSslQyC1QGxNpqnD7r7aLh0AxY7WAxQWEpbDqoZx44m/VCz/7HphN3afj1Q6UGytkMbcJrNouidHH4N96IyQADYu2Y5PmNJEkNwNNPP8CPP/7G79+8w80PTK7v5tSpwrxs4netZ//O9STsXMfhA7sRQjBwYF/uvu1/DBrUh+joyPpu5kXL1QKtQhyYDKcOKOkZTue3XTVR632MoydMwmA08vjjLzL6xmtYu3YBQojy9Lu5v/xBSHO9xpLBaKJp6640bd0VRVGZ/umL9OjRmWuuGVa+vnZtW7I3YecZtxvbqR8vzViB3WbFZisrLyz+X10HXMXqP2dz112P0b59LN7envj4eOPn58M11wyjWbMYoqLC+eOPv3nm2ddw9fDnsTe/JyVpH1tW/8kHH0yut1RCVYFuTews221ka6JBTiktSVI5uwO2JhoI8zm7LKS0fBWLUeDmpGdOrUswUliq0L2pXRYQlySpzpXa9CmfU3IVInwv7kxKqx1yixUyCxQy8lVKbXp9NLumX3AYVYGrBdycBF4u+lAKj3oeQiFJjZG3txc33HAlv/7+T303pdblZqWxf+c64neuI2Hneo4m7gMgPDyM3r278vhDN9G/f2/Cw0PquaXScRf6pGG13nxVVRk1/mUim7fnuw+eZfPmnXz0oR6sSU5O5dDBRLoMHlvpcZeMGMuhuC3ceefDHDp0mDvuuImSkhLWrdtCyy6Dq719o8mM0XTqStuKonDbo2/z10+fkJObSXJ8NsWFB0hPTmTKlGkEhwSTfDQZL99Aug68gaE3TCAlaT9fTHmAoUMHMXr0NWfztNQaP3d9fKZV1vKVJOkkiZkqJVZoH3F2B4cwH439qQbmbTJhMujDevu30ov5SpIk1bUBrWzsOGxk7X4j/u62i3bSlNxihT+3nalAn0J+if4/Z7PAYtTre/i6CWJDHTIrVZJqicPh4K9FKwhvdn4nk6ptQgiy0g6zf+d6PdC0az1pRw8B0KRpDIP6d6V373H07NlVBpqkOqMIIc54VZGfn4+npyfvzNl5ykyiqhw9FMesqY+RFL+TTp07UFZaRuLhVJ778C88fQIqLa9pGr/OfJ0lc6dzvFkWZxee/2gxvoFhNditmhFC8Nlr48nLTie8SWs69BpK87Y9SErYyZdvPUTakYO0a9eaBQu+xc2tfvPXDmaorIs30qOpnSh/OVxBkiQ9Q+nPbUZcnaBfy7OPSmfkKxzNUSmzQXSARoCsJSdJ1ZZbpJCQplJQqhDuq9EkUH5H15TVDn9sM9EkwHHRDslMSFPZcODM/cIGVTAw1o6vuzxOS1JdmTfvD8aOfZCn3/2dyOYXXvCppCifBd++y9Y1f5CVnoyiKLRq1YLevbvSu3dXevbsKouCS+csP7+AyMhO5OXl4eHhccrl6jTwBOBw2Fn398/s3rySlMQ4bn3kLaKatz/tY7LSDpOweyMGg4mmbbri6RNYo22eTnryIbasWoirhzdevoE0bdMdJ2dXNE1Dc9jLs6XyczJ4ZfylNG0SwfP/e5h+/XrW+3ShSZkqa/cbiA7Q6BrjaHAFwyRJqh9peQrLdpu4JNZGoCz2LUnnXakN/tpmosSmfzErCEb2qHmtNQl2HlbZdcRAv1b2iy7j0u6AZbuNZBVWPbbZoOrD6nzcBE0DHXIGSEmqQ0IIBg66nhLNjYcnf1ffzTkrv339Fn98Pw2A9957lSuvvAxvb6/6bZTU6FQ38FTnkRSDwUivy0bR67JR1X6Mb2A4voHhtd4WIQTff/AMe7auQVEUhBB06Xcldz79Aaqqoqon8rrXLPoR4bDx85wZ+Ph413pbakITetBpXYKBCD+NLjLoJEnSSQpL9QOCnO1SkurHoQy1POgEIFCw2sHpTCOmpEpiwzSyClVWxxnp2sROmI+4KGrMldlgZdyJoJOTSRDoqU/o4OZ0/AcZzJSk82TNmvVs3bKdCS99Wd9NOWs9Lr0em62MdUvm8PbbnzBixJD6bpJ0EbsIvspPiN+1gT1b1zBt2mtcddXlAIREt6xy2YTdG+jWvVO9BZ0cGqTkKmxI0Guu/BtvJMxHo3tThzzpkCSpgswCBYMqQMadJKleHMmueDplUMUFXwS0vqgK9GxmJ9xXY+1+E3M3mFi220hqbuM9+Skqg793mcgs0N9H4b4Orupso2czB82DNUK89amx5fmfJJ0/770/g7CoFrTuMqC+m3LWAkKiuO7O53jq3d/Iys7nsccm1neTpIvYRXVadPTgHgAeeeQF3Dx8uPXhN+g5+IYql81KTaJP5z7ns3nYHZCap3A4SyU5R8XmUHC1CKL9NMJ89V4vmekkSdJxmoA9R1UOZhjoGmNHvai6EqSGprAUsgpVwn20i/696OsmZJDgHJiN0LWJg2ZBGun5+nnRyr1Ghra34d6IhpfZHLA9yUBCmoom9A6EKD+NDlEys12S6tPevftZvGg5tz36Nkoj+DD6BoYzasIkvpjyAFdffTlXXikzn6Tz76IKPLXuMoDYTv1o1rYHl1x1OxYnlyqX273pH1IOJ9Cz58N13iarHZJzVI5kq6TkKjg0BU9njebBGmE+Gl4uMtgkSVJl+SWwPsFIZoFCbKhDFjKW6t2BdAO7jxrYYhL0aGon6CKqz9O/lZ2j2SpZhQomAzQLctR3ky54qgI+bno9I7sGuUUGjIb6blXt2nPUwMF0lVBvQZivgxBvDVMj20dJuhB9880c3D196Np/RH03pdZ07T+CtYt/5M03P+aKKy5rFAE16cJyUQWe/IMjeWDSrDMul5GahKIodOp0+iLoZ6vUBkez9WBTWp6CJhR83DTahDkI9dFksUhJkioRAsrskJKrcjhLJTVXwcUCA1vb5exzUoOQlqefxJbaFJJzVYK8Lp7gi8kAUf4aUf713ZIL184jKk4miPGvnDFXVKrg7iwaXc2sJoEOYkMdjS6gJkkXMpvNxg8//k6XAVeXTzrVWFx2/b289+zN/Pjjb4wadVV9N0e6yFxUgafq6n7JNSz8dirXXHs7X381jVatmp3zOovL9BoQR7JVMvJPFALuEKkHm1wt57wJSZIaiTIbpOappOQopOerWO1g1070TPm5a7SP0LOc5AWL1BCk5ysVZuLycJbBUKn6DqSr7DxsxMdVI8RLw+U/50ShPhoHM0wkpKk0DWo82Z3y3E+SGp49e/aRmZFBpz7D6rspta5F+950v+QaHnnkecLCgundu1t9N0m6iMjAUxWcXNx45I2fmPHaeAYNuo6HHrqb22+/kYAAv0rLCiHIy8untLQMZ2cnnJwsmM1mQCG/5MQwuqxCFVURBHoKusTowabG1nMnnZoQkFOkYHOAQQWTQeDuxEVfB+VCowkoKgWrXcHJrPe+1+ZsSyVW2HVEr/chUPBy0Yjw1XAyC0wGMBkF/u4C58bVASc1AnuOnoiAxgQ4iAloPMEBqW5lFShsPKC/fwpLFf7absLJJBjY2o7l2HlSqLfAySTIK5FDQyRJqlt5eQUAeHg3vhRWRVG46YHJ5OWkMXLkXXz99Qdcemm/+m6WdJGQgadTCAprwpPvzOPXL6fwztTpvP3OJ1x77XDG3HYDGRmZrFmzgdVrNhEXtx+b1Vrhsa9+sQy/4OjyQpHBXnq9ixBvTc5ycxHKLFBYn2Ak/z8nzKoi8HQReLsKfN0Eod4aTjKg0OBoAlJzFQ6kG0jO0YfGnsxiEng6C3xcBd5uAm9XDXcnql2bzaFBbpHC0RyVfSkqqgLtIhxE+lXu9Zekhii/RB8CCvpsXF1jZGHkhkAIfbY0F4ve8RGXrOLlKmgSoJUHdOpbqRVW7TOiCQUnkyDEWyPYSyPIU2A66XwpIU2l1KYQ7iMDmpIk1a3jtY8K87MJCImq38bUAbOTM+Nf+IIZr9/HDTfcxZgxoxgzZhTt2sWiyh5xqQ4pQogz5sPn5+fj6enJO3N24uziftpld25Yyr9/z8XZxY3giOb4BoXj7OqOs4sbTi4euHl44ezqcU6NLi0pYtfG5US37IiPf8g5ras6igpyWbPoB1bM/5rMtCNnXH7W3N9p3jIWD2eBn7uQQ2EuYmU2+H2LCU9nQdtwB65OAk1TKLNBbrFCTpH+k1esIAB/d0GYr0aUX8O5MLhYFZdBfJpe+LXEpmcfRfppeLsKLCa9VluJVaG4DHKLVbILFYqt+smK0SBwMYOTSe+ldzKD2SgQmoImwCFA0yCvWCG7UMFxLEjdLEgjNtQhA9TSBSW7UGHRDhOqIriyk01m5DUQpTaYt9GEolAhYK4qghBvgZtF4OOuEeFbf8Mi18UbOJSp0q+lnSDPqidTSclVWLHHSNMgjc7RF0/dMEmS6ofdbqdL16EIozvjX/gcL7+g+m5SndA0jSVzp7Ps18/JzU4H4Oefv2DgwL713LKz5zh2bp1XrFBqg+gAOcLofMjPLyAyshN5eXl4eJw6zlOrlzdCCL5570lcLCo+vr6sXzYXa1lZhWVUVaX/lWMZesN9ZKcfJTlxH8mJcRTkZtGsbXd6Xno9BmPV7xCbtZRVf37Hn99PIz83i56DR3LbI2/V5i5gs5ayf8c6rGWlNGvbA1d3T1zdvRh83T0MvPpOPnt1PNv+XQSAp6cn4RFhREWG0r59a2688RpCQ4OPrUn2ykmQlqdidyj0aHryFND6SX6A54mT/TIbHM1ROZKlsi3RwI4kA02DNFqGOOQB8zzLLVbYm6ySlKliUCHKTyM6QA84Vb4oOv4a6p/3MhtkFynkFimUWPUvvVKbQm6xgtWuz9KkKvoQS1URuDnp2U1+7gIvV1Grw/Yk6XwxGo4d0zwa5zDQ491zF1oWl5MJmgVr7Eup2PulCQWbQxDgqRFcjzMP5hYrHMxQaRfhOGU7cosU1uwzEuQl6Bglg06SJNU9o9HIrK/fZ9Toe5nyyAju+d90olp0qO9m1TpVVbns+nsJDm/GRy/dAUB+fmE9t+rsaQJW7DWSlnfiZHrnEUG4jz5hRVGZQqcoB54usgZlfanVwFPq4XjysjP4fM4XDBrUF7vdTnZ2LgUFhRQUFJKfX8CmTdt5440PWDbvC0BPZ4yIjMDPz4fZ035l86oF3PHE+8RtW0NpSSHWshLKSoo5FLeFvVtXYbOWceON1/Ltt3Pw8q29CLTDYWfNXz+wcPa75VFfJxdXBl0zjiE3jMdksmAwGMnLTuWyywYwffo7eHqePvtLuriV2WDLIQNBnhpuTqdf1mKCmACNmACNUhvEJRvYn6qyP1UlNtRBq1AN9QK76LmQCKEXR96bbCAlV8XZLGgX4aBJgFZhuMeZWEwQ7CXq9WLufCkug2KrgkMDdyc94HDyhbkmIC1XobBMwcNZH1Yqg6iNk5MJvF01wn0bT4eLJmB/qkpCmkphqYKqgJuT/j4O8hQEe9Xe0Ggh9J+6GOEQE3Ai8KQqgkg/jRYhGl71fOItBGxLNBDgIWgZUvl9I4Q+S+K6eCO+7oJeze3yO1CSpPOmbdtYli39mVtuncDUp0bx8OvfE92yY303q04kJews//9zz73O6tXruf/+O4iMDK/HVp2aEBCfpqIJiPDVyju8hID+rezsS1HZmqifvDs0hdQ8lY5RDkK95Qyi9a1Wh9qt/GM2P3z0Pw4e3Ii7u9spl0tKOsK6dZtp1iyG5s2b4OKip4KsWLGWG264m7KTsqQsFgvOzs60bNmMIUP6c+WVQ7BYLLRt24/bn3iXbpdcU5P9rdLerav48eMXSDmcwPUjR/DIw/fg7u7GZ5/N4oMPPqf7oOu47ZG3EELwyHWteOH5R5gw4Y5z3q7UeNkcsGyXkaIyhcva2c5q5poyG+xJNhCXrOLvIbgk1n7B9bhfCDILFLYcMpBVqOLpotEyRC/oLbOPTu1IlsKqfUbgxBvSqArcnfWsLU3Te5bK7AoKAoH+OzpAo3WYQ87kJDVodgf8s8dIRoFCpJ+Gr5tAE1BQqpBTqJBdpAAK3q56xlCQl77M2RwzNA3WJxg4mqN3MrQM0Wr1OJ9XDH9sM+PrptGruf20nz1N6LWU0vNUerew114jqrAvRWXzISPDO1jLs4ELSmBrooHsQpVSGwgUXMyCIe1scui5JEn1orS0jKFDR1NgNfP4W3PL6z81NqUlRcTvXMeeLatY+uvnKIrCvn1r8fPzre+mVSktT2HHYQOZBQr+Hnqd1QPpKo5j/RgnDy/vGGWnRXDj6RhriOplqF1hfjZeXl6nDToBRESEERERVun2fv168vLLT/HUUy8DcODABry9vSosY7VaufrqsXh4+9Gu++BzbvPmVQv57LXxAFxzzXAmv/Zs+Yfs5ZefIjQ0iKefnkRsp37s2bISa1kpnTq1O+ftno4QgoSEQ5hMxgYbbZZOTQhYFWekoFRhYOvTn+ifjsUEHSIduDsJNhwwsumggWh/TQ7JqiWFpbAtycDhLAPerhr9WtoI9qq6xoikEwKScxTWHzAS4CHoFGVHVQUFJQr5JQoFpYqeuaFAoKcg3FfPrCgs02f43HPUwKEMlQg/jTAfvYCw7H2SGhIh9EBQdpF+/A7wqNw3V2qD1FyVlFyFpEyVPUdVXCwQ6KkR7qMR4HnmY3SpDQ5nqexLMVBQCmE+gm1JRhTFXmUGUE3YHWC16x0gWYV6Q7IKVRZuNdExykHTwMrrT8vTA/C5xQpdY+p+SFtesX6gXb3PSGyYgzAfwZKdJqwOCHAXxARq+LsLAjxEo5z9tdQG+1IMZBQoaJqe7dY23FHl+02SpPrj5GThuece5oYb7iJu2xpaduhd302qE07OrrTpOpDiwnxAz/gymRru2PlAT0GAh51DmSrr4o1k5Fe9nLuTIMa/8QWdNKEnKICedX6hXLvUauDJYDBSUlKCpmlnXRX/rrtuLg88rV27iWHDBlW4/6mnXmHDhq08PPk7nFxOH+Cqjn8X/1T+/wUL/2b58jV88cVU+vTpzoEDicz4/Dsszi7M/+YdCnLS+PDD1+nZs8s5b7cqmqbx++9/8fbbn7Jjxy4ABg7qx/+ee5iOHdvWyTal2pdXrJCWp9K7uQ1v13M/iYwJ0Ci2OtiXohKfZkBV9Jnw/D0EIV4afu6N88S8Lh3OUli734jFCN2b2Inyr90sg8YoJVdh52E9MyzES6N70xNTnXs4C0I59Xvdwxk8nDWaBGrsT1U5lGHgUIYBRRGYDWAyQpiPLKwu1b/UPIWkLAO9mlUddAL9JC/KXyPKHxyag+wiheRslcPZKgfSDZgMAg9ngZuTPskACiD0E8WiMoWCUsgvVkCBEC9Br+YOvF0F25MMbE00klvsINJXw9kCVhtYHeBmAQ8XUa3hZqvijKTm6cMDT+71dWh67bnjhNAzPvcm6xlXAF1j7DSpIjBVXQ5NDzyf6XjaOsxBSq5KbrHKmn0qLmZBmR0sRsGARp7duz7BwIH0ExF3VRF0b6rX+pMkqeG59NJ+tG/fhj+/n9ZoA0/HpR6OB+DZZx/Cw+Pcr7PrkkODo9lVXwA5m/VJnaLP8fxeHPvuFkKv6mqqRmeppgHHarrWJrtDrwd8NFsfPmi16xtwMgkCPTWCvATBng17hvRaPcUPi4mluLiY/fsP0KJF07Nax8qV/5b/3+GomOr9zTc/8eWX33PLQ1No0rrrObX1uKZturNjw1LcPX14/pMlfDHlfq65Zmz5/YEhURhUA76eFn6bO/es9+tUUlPTeemlt7BYzKxes5H4/Qm0aN+LASPGsnH5byz9ewVL/17BypW/06ZNy1rdtlQ3juYoGA36rEG1QVH0ntDYUAe5xQpZBQqZBQqHMlT2JusXOcFeGiHe+m85JOH00vP0oFOYj0a3JnK895lomp4ZFpdiwM/93DLDTAaIDdWIDdXIL4H0PJUyuz474P5UFZsdujapfraFEJCWr5Caq88qWFCqN0oBXCyCUG+NMF8N9zPUWJOk41JyVSxGUe16VQZVn43U391BuwgHecUKR3P092JhqX6sBv09qSjgahEEuAuaB+lZfycfr9uGOzAZBAfS9cDsfzULclRrVrcBsXbEsd7QJbtMFB77XLhZRPn3SEqOQlKWSk7R8ZP2Y3XtzjLolJSp1yTMKlSwmPTsrxAvgb+HhibAZtfrwTmZ9XpwLhYY2t5GXLKBA+lq+YygZXaFuBT1nLO+GrLU3IoXSppQSEhTKbPp7ye7Bla7PvttmV3/v/XYcdLu0J+7duF2wupxNsKGyO6A3Uf1upqeLoL4NJWMfJUSK/h56FkPvjK4J50FRVF44IE7ueuuR8hMTcIvKKK+m1Rnho66nz9/+IDRo8fRtnNPvvhqOgE+TriYOefzZSH0bNwyu/6dUHbsMt/ZDC5mgdlYvcydEqs+LHxfqqE8+HKyQE+N3s3t1erIPF7jNa9Yoajs+A8Ul+nHXUHF9XeIPJGVLIQ+ekKfpVwtn6ncoEKXGHut1XvNK4aENH3EgNWhD/NvGqjh66YhgMwClbQ8hcRMAwqCAE+9nmOYj9bgOnNrtTkxrTrj4urOrFk/MWnSM9V+XHJyKnPm/M73389jz544ACIiwhk8eED5MgUFhUyc+BbdB11H7yGja63Nl157NwaTCWcXd9w9fbn/5a/Zs2UVyYlxGFQj2/79C5UyFiz4ptKwv3MhhODLL7/ntdfeJzMzE2cXN5q378UT499i8U+fsPy3LwkPD6Nn97a0bNmMli1rN+Al1Z2MfJUA99ofDmdQwddN4OsmaB4MQjjIKVI4mqOSnKPwb7x+wPF1F0T46oXKZVClsh2HDRhU6NHUITPFzqDUpmdPZBUodIy00zy49jLDjmdBnSw+zUB6vkqgp4aHs8BkBLNRz4oyG/Vsj7JjF2QlVn1GrKxCPVvCx02U92wJAfklCjuPGNiWZCTYS6NztP2MRf6li5vdoZ9sltn1rCQP5zM/5mSKAl6u+gyVZ0NRoFWoXmcur1jBrunve5MB5m0yY61B2aXUPIXVcUbs2okPbGGZwk/rTJxcm613c1v5Sb/LWQ4LLyyFdQkGHMe2VWLlWFZj1csr6EXamwZqtAp10DrcQXK2wrbDBgpKVLYmGvBx1QjwPLv2NHSdY+xsPWQsD5QDpOerpOdX7wspvwQyClTCfOUsfyfblmRgf6qB3Ucrn/jklegXbhG++rBOb1d90pfGnFkn1a4BA3oBcDBua6MOPGVnHEVRFIQQ9B12KxuTPCBJv89kELiUdx6I8u8OZ7PAqOoZQQL9H4GekVRYqgd18o+VZLA5Tv2hUxW9s8LPXQ+c2B0KxVb9e7nEqgeEsgtVCsuqXoezSdA+0kGkX/XPVXccrvqYcSpbE40kZep1YHOKFewn7Y+/u8YlsfZzmjVPE3pGdMaxJIPMApWiMgWLUR+C3iTAcdIs6bowH/27oNSmZ4AlZqqsTzCw8YCBYC9BpL+DMO+GMTqmVgNPTs6uDLp2HB999A7t27dm5MgRp1y2oKCQ+fMX8f3381i5ci1Gk5l23Qdz7/OPM+P1CYwbdwtOTifOgj788AsKCosYcdvjtdlkVIOBQVffWf63wWiiTddLaNP1Ehb//Cnxuzbw22+zajXo5HA4eOaZV/nss1l06T+Ca/sMQ1FU/EOiyE4/wta1fzFz5vtcddXQRlvErjEzGigvbleXFAV83AQ+bg7ahusn+8k5Ksk5KlsSDew6YqBliIOmQVq1UkMvFh7OgrwSpUEcgBuyEiss222kzK7XuvGv49oj7SP1+ibp+fpQ1QPpFYcJVSbwcxf0b2UjyLPqDKzjacnbEg38sdVE63AHzYNkQFY6QROQka9n/xzJUrE5oH2EvV6z5I4HsE7WIdLOtkQDQV56gPVMfN30z0dq3n8/GPrfBkUQ6qMRWgsnozuPnAg6VYdAIbdYYeNBlW1JgpgAjWZBDoa1t3MgQ2HTASMr40xc09XWKGeyC/UWBHvZyC5UOJqtdxzllZz+RTCq+tBNXzdBlL8mh+X9hxD6d3uLYAclVj3Iml1Y+TlNyjKQlKX/32wUdIl2EOHXeLPrpNqTm6sXEXLz8KnnltQda2kJs99/muDgIDZuXITFYqGwzEpJmUKxVaHEyrHfCrlFCsk5CqU2gFMfqI9PPOPhLAjx1nB3FliMYDnWsSiAtFyVxCyF9DyVtDwDaXmw60j12x3qrRET4CDI69Sd/kLomVZlVnCIE2VRDmfV/Aswu0gFBJ7OAl93jUBPQaBH9Ye4OTQoKtODckVlena0/qMfuxyagqIIvF307+kAD30ikzMlNDiZoEmgXtaiuEyvI5mYqbJmnwlXi6BVqD70sD7rBNd6AtbQUfeTmZLE+PFP4u7uxtChAyst8+OP87jnnhMBpKatuxHVoj2lxYUs/vkT7DZrhZpGmqYxY8Zseg+9ER//kNpu8imlHz2I0WSisLCo1tZZWlrGPfc8zm+//Ym3fwh7Nv3Dxn9+K7+/Q68hKIrC4MH9ZdDpAmU2ivLCqeeTs/nEAaewFPYcNbDjsIE9yXoAqlmghqmBpVyeb5qmZ8w4yeGIp1VcBst2m7A7YFBrW40zP86GyQARfhoRfgB6743doRdIPj7UxCHAyaiPZzebzjx+3miASD+NEG+NXYcN7EgysOeogRBvDZtDL+rr664PUfV1k4XlLxY2B2QXKhzJ1k86S20KLhZ91sWYAMd5eb/XVPNgjfwShXXxBhLSVLxc9Kwh07GOjuM/dk3BZNB7opsHO8guVLAe65FVFYG7kyDYS9Ay1FFrx0Hnc1iPzaEQl2IgLkUlxFsf4ujnJkgvUEnPUwiqpaEKDY2qgJ+7wM/dQftIffhJfolCQYmCQB+S6WoROJn0bGd5bDo9RYFmQRUDSFmFCnuTVdJyVawOMKr6hZmniyDMVyPUu+ENQ5Earn/+WYNqMBDRtE19N6XOJOzZxP6d65kxY2p58oe7k16gm1PU8dQ0KLGdqGt0fFg56Me50xW+TstT2JpoOGnId80ZVIFdg7gUAzsO69/vDk0f2q2dVJ9Jd+4H0iBPB8HeelDIbNI7cVSVKq+vhIBiq36+kZqrklesB/CKrSfaoioCVwu4OemTaUQ7aXi76p0M59JJ6mKBFiEaLUI0cooUdh9V2XjAQFyyASezwHZsGLeq6q9vkJdG86ATowYKjwXG/NxEhX3ThH6NUGbTg46lx35n51SvsbV+yFVVlZsfep3SkgLGjn2QhQtnV5oFLjk5tcLf8bvWk5N2gNDQIFpEB3PbqCcrFPDetWsvWVlZdOw1tLabW4nNWsp3H/4Pa2kJzdv1JDczhRtvvIdu3Tpz9903M2LEEMzms6/a9eijL/Dbb38CUJiXyR2338j1119BenomN988nhbte7Nj3d+8884nPP/8o7W1W9J5ZDFSoYBrfXBz0mvlxIY52HPUwM7DBvYeNdA8xEGL4IszAyqrQGHDAQN5xUq16qRcrLILFVbvMyIEDGxtq5TSez4ZDfqPs/ncLj5NBugQ5aDJ/9k76/AorvWPf2ZmN64bdyUEd4dSowY16nrrt+7u3t723rr3V/eWeiktFLfiGggBEuLuvrsz5/fHkAAlQIB4zud58kB2R85sZs+c8z3v+31DdTKLVXLKVFytoCmwvUAlJUfDz8MgKcwgOkBGRPU0Gh2QVWqKTFX1Cg0OhWAfg+p6xRQ7A7q+8KgqMCpex+ZpRgUWVynsLFIRYk8Ek6aaIoXDoDn8P9jHoKhKIdJmMK6Ps81XOoUwfQ2PHnP1PK98TwN7U/VWF0uTENUzhbbOIMBLMCFJB3SEkOKd5Oj49bc5JA0ag6e3X2c3pd0Ii+6DoigUFBS1eh9V5Yird3u4mCnXjU6D2kaFjCL1EJHu+6MbCoX7RfY2YfpGuVpMEd/d1cBzd1q5p6vAxSJYtNXavDjTfE2K2Q83GYqbmNsUVGoUVLZ8Lk01x6wqpkDj0PdE7ltUc7EoJtDAy000/7i7tL0J+T/x9zT7wvJag625KooCLu5gtQh0w1z0WLfLQl65gUWFkhqFRseeMcQxyU4smpnKtz5DY1fp3oNkM4LNaOW8VxFCHPIpV1VVha+vLy/N2Iy7h3erDuxwNPL0DVM48dgRvPnmf/Z7PyMjk6qqGry9vQgPD90nre6fvPPOxzz2+P/477cbsVqP8O5uJV++/iAr5s1gyOABrF69DlWzEBXfH7u9gbxd2wgMDGTSpDEkJsaSmBjHqaeegLd361z/q6trSOwzFld3b+qqy1mw4Kdmw/Azz/wXa9alcP+rv7Fqwc/8+tn/+OWXz5g4cUx7Xq6kHcgsUVm+3cLZI+1dxui7rhFS8zR2FKq4WWFYrJNIW9eeaLUVtY2m4ejOQhV/T2FO3rzk4P6f6Aak5GhszVXx9RBM7Ns7PJGEMP1w0vI18itUVMUcHNh2pzrZnQquVkGor0G4rXVVxSRdgwa7mQaWXqQigFBf8+/q7S7w8zDw9ejek1HdMO/fpogYIUxjaofTXIHeUWBWq7M7FTRF0CfMTGk70klCSxRVKcxLaZ8HXVSAzvg+erf+G0kkkp5B3+QJjDjugja3fOlqfPXmQ6xd9DOrV/1JSEhQh523sFJh/pa2e5b4uBv0izBaTE23OyGtQGVngUa9Y/8HTJTNYHzSvtVVHbopvDTYzWevopiVY3UDVqVrOJwKVgtYNDMSWVXMRdMIf4MgH1Ng6srsKFTJK1PRhSna+7gL/t5hQVMFhjDFq3q7mSkwLNaJnwe4WgWuu7MPqqqqiYkZTmVlJT4+Pgc8T7sFmVqtrvQbPpkZ33/D6NHDmTr1RAIDA5rfj4uLafWxyssr8fb1b3fRqaq8mMWzviA2LprHHruT+PhYfvhhJt9++wsb07bh4xeAT1AMG7cVsGDRaspLCzn22An88MNHrUqLy8jIxN7YiL2xkQsvPHufKnWlpeXUVlfy2DWTGTxmCqpm4ezpV3LrLdfwr39dQHR0BEIIcnLyEcLA09MDT0/Pgwp2ks4hwMvs5AqrFKK7SNUZD1cYHqeTFKazbpeFpWlWQn1Nw+XOjGhpT6rqzXTDXSUqVg2Gxej0CTOkcLAXQkBeuZlylF+hYnfCgCid/uFGr/HAUhQI8xOE+TmproeCSrMyV2mNYq4KWaC8TmVHoUZUgM64Prq8h7o4Dt0U2rflqai7q4LGBRs9LsV274ig2kaYu9naXB3un+hCITVPIzVPJT7YYHB026TapeW3X3hgdqnGcpDVRyUSSacTFBRIbXV5Zzej3Tnj8ntYOe8HPvvsW+6++6YOO6+fh+nRllGsmml7sE9xjIPhZjUXDP12/wT5GAdcOC2sVFi23dIc0fNPFEzR5Z/Teqtm/uzxf9wzvzt9+GFU/uiiJIaYlfL2JszPTk0DlNeqFFcr2DwFfUJ1fD2O/Dztmt18zrUPU1VexO23P8wddzzC4CEDmXra8VxxxUUEBQUc+gC7aWy0Y7G2v1To4x/EDY99wMzPX2LatEv597//xVNP3cdNN11FSso23nvvM7799mcMAWNPPI/YvsP49KU7+eqrH7j44nMOefz8fDN0MTQygZSUNIQQzYLVkiW/UF5ewY8//s5bb3+C7nQA8NJLb/PSS28TFx9HRnrGfsccOnQQN9zwL84993TU3jJT7OJ4ukKQj8HWXI3ogK7VGXm5waRkJ7nlCmszLMzaYCU53KB/RM8Z2JfVKGzJ1cgpU3B3gaHROvEhvTO98GBU1cOKHRZKa1R83A1iAw3igo2jqsbR3fF2B293gz4tvJdTZlYJ2+ohGBApzWi7KhW7vQxyylSSwsy+raf5uDh1WLtLo8FuiqPW3ZXvWpeappBepFFSrXLSIMdR9ftFlaZo3Z5klWqou6uQSiQSSWeREB9Nasb2zm5Gu+Pp7cfA0Sfy/Q+/d6jw5GqFYbE6w2L39PWNDthVrGLsjuzVVDO1T1NMz093qyk0ue72kWp0QG2jctBo/ap6xazApwkcunle791pbz7ups9gb4j2bw2uVvMnwNsgMbRtjtluqXZ7U1lWyJa1i0lZvYDNK/9CCIOLLjyLm266ij594g+5/4MPPsMvvy/j4bfnHPa5jwQhBAt/+4QZ7z3FqFHDePjh2xg/fjSKolBWVs4HH3zBW29/QqNdJ77fCLK3r+XLL95mwoTRBzxmcXEp99zzBAsXr+Hyu17mtYcu4YMPXmH69Kn7bWsYBnPmLOTNtz5m8aJlrWrzqFHD+OijV4mICDvi65a0DY27S9A3OhVOG+ro7OYcEKcOW/PM1Co3Fxge6yTCv/um39U0wJoMC/kVKl5ugn7hOrGdXL2hI3A4zRUcp6EghFnpsKXVmn320WH2RjPcYWS8kxDf3is2HQ7zt1gorFRJCNHxdBV47RaZu3oIdW+hqt6M+nF3EYxPcnZJk/C2QAhYn2mmEB6sNPWh6B+hMzj6yASdps+60dn+DwwFwdRhDjkZkEgkncZbb33EE0++xP++3dQhwRCdyYbls3nnqWtZvvx3kpNbWorrGtQ0wLpdFoJ8DHzdBavSLdTZFU4bam/V8196v7UdrU216xDhCaC+rpqPXriV1PXLcNgbml8PCPBn8eJfCQsLOeC+1113F6s27OK+V349onMfKds3r+SLV++lMDeDhMR4rrv2Eq6++hI0TaOysprzzruGzVu2YwsKJ3fXNqZPn8qTT97XLP5kZeXyzjsfs2DBcrZu3YaiKEy/+iFOnH4t7z97A2kbFnPiCZMYODCZgQOTGTp04H75tJs3p/LNNz+Rnp7JxImjueii6fj5+aLrOhs3bmH+/KU89dT/mrf/8MNXOfvs0zr0c5KYOHTYkKmRUayCgGP6dY8JfXU9rN1lCjbhfgbDYrtX+p0QZm7yhkwNFysMidaJCuj5KXX1dsgtU9mUo+0XMuzpauaVe7sL3HdXgLM7zDK4lfUKWSVmKPNJgx1HFTLb26ioVUgrUCmrUahr3FMtzN/TDFGOC+o9KYpdCUNASZXC8u0WXCyC4wc4u4y/XnuiG6anYFq+SkXd4d94YX4Gk/sdflRuXSP8lWKlrrHjOtmYQDPNVSKRSDqDNWs2cOKJ53Lfyz8T23doZzdnHxrqa1n8+2ds37SCfsOP4djTrziqyugOewN3njeIZ56+j+uuu7wNW9p27CpWWZWuoe9Ox1MUgY+bmXI3Kl7v9VW8O5ouJzy988TVbFo1j5tuuor6+ga2bdvJ4sXLAXj77Re48MKzW9xv27YdHHfcdE445wamXnzbEZ37aBBCkLZxOUv++Iq1i3/jmGPG8X//9xIBATaqqqqZfs7VbN26k+POupolsz7Haa/nmafvZ9SoYZw9/Uoa7Qb9Rx5H8tAJ1NVU8c3bjzL96gcZN+V8Zn39OjtTVlKUl0F9bQ2KojB58nguv/x8TjvtBFxdW+fftG7dJi688N8UFRUD8NVX73LKKce358ciaYHSaoU5m60khugMjGq7UtUdgRCQW6awdpeFeoeZ6zsgsutfQ00DrNxpoajKjEIZGqP3uJS6BgdkFKnsLNJosJsVMwQ0i00xgTqD9rrfiqrMylD5FSp1dpqrXoFZqcPDFaIDzLLxMoLg6GhwQEGFWS0tt1zF01UwNtFJkE/XF5y7M0KY5qBltQo5uz/7BoeCr7vBcf2duPXsxej9EAKKqxXSi8x7UW+lL0aIr/l5/fNYtY1QUadQ22CWfo7wNwjeaxFl+XaNzJKO72gnJzsI85ffLYlE0vFs2rSFY445k3tf+om45GGd3Zx9SNu4nJfvv7D596vufY1Rx555VMd88c6zGD4wkvfff+lom9fmGAJ+XWvdq4K4YNowB56uMoKps+h0c/F/Et1nMBtXzmXu3CXceus1PPPMA6iqSnl55T5+T5WV1axZs56VK9exYsVa/v57Df7BUUTG9SN1/RLi+43ExbXjZkuKotB3yHj6DhnPhJMv5KMXbuGYyWfz6SevMWLEEL6f8QFnT7+SeT/9H7c8/RlLZn3J7bc/jMViISy6D3e99Bk+/kE01Nfy37vOAuDHD59j0OgT0J0OMrdvAiA+eTgRcf3Izkzlqqtuw9/fn0sumc7999+Kp+fBQxKGDRvEpk0LeO2193nmmVeYNWuuFJ46AX9PgUUT1NmVbhdtoygQGSAI9XOwvUBlS65GRpFKvwidvmFds7x8cZXCwq0WXCxwbD8HoX49b0LSlM7i0E2xyN9T4DBMMcnfw8DmZQpJexPuLwj331NCutFppn+6WsHVIh/KbYmbFWKDDGKDDCpqFdZkaMzfYmFEnE5CSO/0gWq65+oaFertUO8wU0CbyhI3/d/Y/XUN8xMHrDLZJC5V1SnUNpo/NQ2mh0NTipmnqyA20CAywCDAq/umCh8NigLBPoJgH51R8Tol1Qq5ZSo7iw4uQhVWqmzIVBkQaVBcBWkFGsVV6n6Gro0OCPY1o42EMPfrDFbutDC5nxM/z57X10skkq7Nn3/OByAwLPqw9tOdDmqrK6irqcTFzQMfv8A2T9VLHDiGY6ZeyqKZnwOQmbbhqIWn2OThrFzVMRY3h4tTZy/RCUBh4VYrYxKdBHrL50NXpsMingAyUtcx88uXSVm9kNCwUE6acgyurq64urqQm1tAauoOUlNN020PLx9CIhMwdJ2i3HTq62oAcPPwZPjEqZx73aNH1ZYjpbwkn/979gay01N46sl7mTLlWF566R2++GIG1zzwFiMmTSVl9QLWLJ5JUHgMSQPHkDBgFJ+9cg8bls7km2/eZdq0S7nq3tf45H93cuONV9C/f18+/fRbli9fhV9ACIPHnYyiKKz46zsS4mP48su3iI6ObFX78vMLcXNzxd/fr30/CEmLZJcqrNxpwaLC6EQnYd1UDGl0wJZcje0FKi6WPVWhuoqgVl0PczZb8XUXHJPs7JEhtXWN8NdmKxYNju/v6HVRHN0RwzBNn3cUagyMcjKwB5mQCwGlNQr5FSoWVRAfbOBqNcWhkmqFoiqVoiqFyloFXezdUQhUBRRMgURRTNHJMJr+rxDsY9AvQifUV1BZp7A1T6WsRqW6wTxOU6Sep6tpAOrlKvB0BR8Pge8h/Mx6M7WNpv/F0RqAKwhGJTgJ9RVklSqsz+y8UFiLavp3hcvIJ4lE0kG89dZHPPTQs5w4/VrOuebh5tcNw2D7pr/ZkbKKmqoyaqvKqa2uoL7a/Lemqpy62ur9jufl7UefgaOYcOqlDBh5bJu1s6w4j9LCHCLjknH3PHDUSWtYvfBXPvjPzaSmLtvPBqazMQR8v8LaPNZwswom9pWiU2fS5VLt9iY7fQsf//cOyotyUFQNELi4uqFqVhAGdTWVNNTXARAUHMRVV17IqaeegIuLC7/99ievv/ER/sHR3PTEx/j4d/yXweFoZMZ7T7Fo5mcAuLi6cdpFtzHl3OubK8utmPsDH//vDgDOu+4xZn7xEuedexqPPXY38fGjOGH6tcz94X2WLPmNAQP6ArB163bef/8zvv76Jywu7hx7xlWs+OtbHA3V/PTTRwwePKDDr1Vy+NQ1woqdpglx/wgzDaq7ToxqGmBjlkZWqYaXm1nqNC6ocyOgGh2m6KQAUwY5elzFKjCvcW6KFacOJw507BfVJOnapOSobMq2MDzWSVJY9xefGh2wKt0UMFwsAt0whSTYU+7Y3WqWMA7wFni6CNxdwcNFUNOgsC1fo8FhCkcVdQqVdSqB3gbDYnVqG2FrrkZ5rYqyuzyxlxuE+pkRfTZPA293uozo3dkczAzVqcPOIhUfd0GIr2j+zPIrFLbmahRVtU6A6hfhZGuuxp6/somqmH8fq2Z6Ghqic/4omio4Y7ijV/h4SSSSzmXLljQmTTqdE86+lulXP9j8emlhDp/893a2p6zCZrMRFBSIzeZLQIAfNps//v5+2GxNP/74+flSV1dPUVExRUUlfPLpt+zKyOK4M6/i7Cvvw+rStbwPqsqLuf/SUbz55vNcdNH0zm7OPuSVKyxKNR8APu5m1Hn/iO4/1urOdGnhyd5Qz23Tk5t/j42LxcVqJSoqjJiYSKKjI0hIiCUpKYG4uGis1n1HF5s3pzL9nKuwuvvz0Bt/oGqdMwsuLcwhL3MbEXH9sAWF7/NeWVEuj159DLruRFEUEvqPZEfKqub3Y5IGIxrKWbfur2axqonCwmIefvg5Zsz4ldMuvo3VC37ihMkjeOut/3TIdUmOHiEgNU9lQ5aFfhE6g7ux+ARQVmNGIeSUqlg1SAgx6BOqd4ogsmSbheIqhSmDel6VI8OAynqFtRkaVfUKJwx09NjKXD0ZIcxCA6n5GsNjnfQJNbrt9z+/QmHFDguGgJFxOpEBBnWNprGnRTPTDQO8zPLD/7zG4iqFeSkWvN3Bz8OgtlHBx10Q7m8QadsTqdTkUVRVr6BAr6hGebikF6nsLFSpaVAYHqcT7megaWbEWVW9QnGVws4irdnw280qiA4wUxBtngKLZnqSFVcplNeqlFSbqYtWTRDuL4gJ1HGxmOWqXSyQlq+yPlPDEAoumhllhAJ+HgI3q1ncYPl2S6vFrLamb9i+ZbclEomkPXj88Rf58OPveO6zVWgWcz6an5XG6w9fipe7lVdeeZLjjpt42GbehmHw3nuf8uhjLxIamcAV97xGeExSe1zCEfPinWcxoE8wn376Rmc3ZR9mbbBQXa8wJlEnJlAKTl2BLi08AWzbsIyPX7yNirIirFYrAwf1Z8zooYwePZxRo4YRGRl20P1XrFjLKadcwK3PfEG/YRPbpE1tzcLfPuXrtx4BwGJ14eKbn8XFzYO//5rB5lXz+Prr9zj55OMOuP+ddz7K9z/OZuTkM0lZMZOtWxYfVZUCSceTmqeyPtPC0BgnyeHdv3OsbYS0/KYy3uDtZlb08vcU+HmaExKHbq68O3QFpw7uLmaVCQ+Xo/cXKqtRmL3JzOOOC+r+n2cTtY3w93YLJdUKAgVXixk2LE2quy9CmGl32ws0Ar0NRsTp+HcjbxrdgA1ZGmn5GiG+BmMSnK0Wmu1OU5jakmtGSh4/wCkjlo4CQ8Df283I0yNBVQT+noJAbzMqLcRXtKoIw/pMjco6hQibWbWxpXbtKDANzd1cBN5umJU0XQQumvl+vd304iivVcg6DOPz1jAizhR1JRKJpL2YfOzZuAckccXdLwNm1svD/xpHgL8Xs2Z9ddRpaJs2beWaa+9i165sLrjhScafdEFbNLtNmPX168z9/m22bFmMj0/H29sciOXbNUqqVU4f7ujspkh20+XMxf9J3yHjefqT5eRmbCV961oyUtfywy8LeOedTwC4+OJzePPN5w+4/+jRw/Dx9SFj65ouKzxNnnY51ZVlzPziZZwOO7vSNnDs6f9i86p5PPHEvQcVnQBuvfUaPvnkGwxhUFhQyJYtac1peZLuQXK4QW2jzuYcjbggo9unBni6wrBYnYGROjllKmW1ChW1CnkVKk794BMKiyrw8RAEeQsSQvQjiuQprNxdvt6j+0zgW8OyNAv1djOSwdvd/IxkxEf3RlFgRJxOpM1gTYbG7I0WEkIM+obpeHfxKLa6RliaZqG8VmFYrJOkQ0Rs6QZU1CqU1SqUVCvklKkYAiL9BcNipeh0tKgKjOtjCpcbsloetllUU+Avr1X2S4EzhEJpjUJpDWzL11AVMxUvwt8g3N84oKA4NObgEUWqAklhxgHTSZ06gEKDw7xH9DbWiNZnasQEGj0y3VrSuVTWmYUMbF4C9738FfXd3nSyT+s9hAQHkbbL9B9WFAWLxYW4fiPYsHw255xzNaefPoXTTjuB/v37oh1BBs6gQf2YP+97HnjgGT595V7ys3dw9hX3d1o2z96MOeEcZn/3Fvff/xSvvfYsFkvX6GyjAgyySkxfyWC5QNut6LSIp5aY++P/MeP9pwCYctKxfPvN+wDU1dUzf/4S/Px8GDt2JNXVNfz99xouuujfXHb7C11KHW6JreuWsGLeD4yYNJXoxEE8etUkxowZxuefv3lIBfmqq25n6YpNVJQW8cjDt3PzzVfv876u62zcuIWysgomTx7XZToFyR4aHGbZz+Rwg0FRPTM1QAjTD8ruVLBazNV0i2ambdQ1mqkglXUKlfUK+eUqjU6FEF+DPiE64TbR6kGcU4eZ661E2QyGx/WMz9Kpw/crrYyM772V0Ho6hgHbC1U2Z2s4dAWbp0FMkEF0gLHPpKYrUFipsCzNgqbChCQnAQcw66yqh4wijYJKhYo6BSEUFEXg52EKGgkhXe/aujuGgBkrrC16K5021I6PuzlhzilT2JqnHXIxoIlAb4NhMfoB/9atRQjTaD6jWKV0d+qkoH1m6B6ughMGmOWzJZK2orBSYXOOWd2xCT8Pc9Gwql7BosLJgx1dstKvpH1YsGApZ599BUPGncTZVz5ASGQ8ToedjSvmsH7Zn6SsmkddbTWenp4MHz6YkSOHMHLkUEaOHEJwcGCrzyOE4L33PuXBB59l0JgTufaBt5pT+zqTZbO/5YvX7mPI0EG88/Z/SEpK6OwmAWYGhLuLkOOMLkKXT7VriVfuv5Cs7ev44ou3GTZsEH5+vmzZksaECVObt/Hx9aGqsgoA/8AQbnn6C8Ki+7Rbm9qDtE1/8+6T1zBp4ii+/vrdg277ww8zufrq20keMh43pZrvv/8ADw8PFixYysyZfzFr1jxKS0sBWLjwpzYxIBdCIITYz3tKcuQsTdNocCicMMDZ2U3pdHQDsktVtheolNaoeLoKBkfrRAe0zgdn7mYLHq6CcX16hvBkCPhhpRU/T8Fx/Z0y0qkH49Qhr0Ihs1gjv0JBCAjzFwyK6vw0vCZfuo1ZGsG+gnF9nLi1MOatqFVYk6FRXK3iogkibLtNwL1M0Unev+2HEDBjpbXFdLVIm8HEvnueL8vSDi81T1MEoX6C2CCdqIAjuxfnbLJQWtMxN4CC4KyR0mBc0jY4nJBdprIhU6PR2fJAxKoJThzowNejgxsn6XRmzpzDnXc9TnFRMSMmTeP8G57A2zcAAKfDTnrqWnalridj21oyt62nvLQQgKioSEaNGsLIkUMYNWoYQ4cOPGSAwJ9/zufii6/n7Kse4MTp17X7tbWG9K1r+Ozlu6mpKGLDhnnYbP6d3SRJF6PLp9q1xHFnXsU7T13LmjUbOe44M33Ozc2VwEAbJSVlAFRVVnHhTU/Tf/gxBIZGdyvPo7KiXFLXL2XAyGM58dzrmf/juzQ2NuLqeuAlu4SEWAAGjZ3CzM9fYtjwE3E6nNTV1REaGYd3QBSlpaXcfvu/26zq3e23P8LM3/9i3dq/8Pb2apNj9na83cyVYIkZBRUbZFahKKtRSMnRWL7dQlq+weR+zkOmTbi7CAorVeoaO8fcvK1RFRiX5GRxqoWsUrVHeVdJ9sWiQXSAIDrASaPDnOhsy9P4c6OVuCCdUQl6p6RwOJxmJc6cMpV+uytxttQOuxMWbbNgUU1hKtImTcA7EkWBMQk6f+/Q9ot68nDdVyxqSucM8DIYHqtTUKmQln/gSbUuFHLLFfqEHrmg7+UmKK054t0PC4H57Ogpka+SzsWimZF/k/sJDGF6VTp0cDgVdMOsyOnvKXrEmENy+EydOoUTTjiGr7/+kaeeepnnbjmVq+9/i4T+I7FYXUgaNJakQWMBc/G+vCSfjNR1ZKSuZeO29fw28yXsjQ34+vpy3HETOPHESRx//CTCwkL2O9fJJx/HNddcwqefv8L4ky7Aw8u3oy93P+L7jeDMK+7n3aevIyVlG5Mmje3sJkm6KV1qyDhk3ElMu/ROnnnmZa699k42bdpKfHwM27evIDt7PY88chfu7u4s+u1TdqSsInXdEsqK8zq72a3mqzce5LNX7uHhK8ZTUVJAQ0MjV199Bw0Njc3blJdX8M47H1NZWQ1AXFw0AF4+/tzz8s9YXLzQDYGmWRh+zJnYgiPom5zEo4/e1WbtLCwsorSklCef/F+bHbO34+4iaLCbK9aSPdi8BJOSnRzX30F5rUJawaG7pKExOgrwx0YrueU9Q8yL8Be4WsyKU/Ie6R24WiExxODUoQ7crIJdxSp0wt++uh5mb7JSWKkwsa+DIdEHFr/SClQaHXBMspOYQCk6dQbRgQanDXVw/AAHyu4bxkUT9I/YV4DxdjPfC/YVeLoJBkQanD7cwdAYJ4py4BvN2/3Ib8IxCTrh/h0nnKcVaOT3kGeApHNRFPBxN8ckgd6CMD9BdIAgIcT0MIuwSdGpt+Pm5soVV1zI4sU/k5QYxesPX0rapr/3205RFGxB4YyYNJVzr32Eu178nv99u4l7/vcDE6deycbUfG655UH695/IuHFTuf32h3n33U+YNWsuW7akUVVVzfDhQ2ioq6WqoqQTrrRlls3+muHDhzBhwujOboqkG9OlIp4ATrvoVjy9fZn/04f89PM5PPXkvfz73//Cy8uTO++8ntNOO4Frr72bT1/aI7RExCSRPGwSx0y9jOCIuE5s/cFxcfckIiKM6dOn8tZbHxEQEskff87nmMln8fZbz9O/f18mTjydvLwCEhLimDJlMj4+3gQEBlKQnc6y2d+iO2q5+67reeaZlynM3s7mVXN56MFb2zTyKyLCrCj4089/8uKLj7XZcXszjQ5zotmNAvTaDIdu5mIH+RzYyynEV5AUarA5W8PdykG9jjxc4ZQhDlbstLB0m4Vj+zkJ9u3+ak1MkEFavnn9g6LlKn5vQVWgT6jOpmwLq9I1BkbpHeZbU1GnsGCLBRcLnDTIcUjT88xijagAAy+3jmmfpGW83MzFjHF9dJTdKXL/rFIXaTMI8TXYmquhKYKBUQYWzSx4UVWvkF7UchpeeY2Cp+uR9aeqCnFBOnnlHadILt5mYVS8TlywjBSVSCTtT3h4KD98/yEXX3wDbz12BTc+/hFJg8cddB+L1YX4fiOI7zeCaZfeQU1lGVvXLWbbhmXMXbSOL778EafDvs8+sUmDCQ6LbccrOTxqKksZMyxe2rBIjoouJzwpisKxp1/BxFMu5sePnueBB55h8eKVvPnmc/j5+ZKc3IfFi3+mvr6BoqJili1bxd13P87cnz7A1d2T0y9ru8iftubEs6/lpfvOp6SkjD///IYbbryfsiKF0op6TjrpfNw9PKitMePUw8NDm/dLiI9h55ZVpG1czo8/fsyYMSN44cU3UTUr9sYGpk+f1ibtE0Lwxx/z+PDDLwGYMGFUmxxXArWNyn6pEL0Fq2am8qzcqTEyTj+gKeeQGB2nAavSLTgNJ30PUCkJTBFvYpKTeVssbMjSmDKo+3tnDdsdybU1TyU+pOPEB0nn0z/CwKo5ScnRyCxR6RNq0D9Cb1f/mvJahflbLHi4CI7t37Kf0944dahuUOgf2Tv7sa6GpprRTwfCopl95K/rrBRVqcCebX0PEtVUWqMSGXDkwndUgGBikoPVGRYaHO2/0mIIhRU7LVTU6WY0bC9c3JFIJB2Lh4c7X331DhdddD1vPX4l/37k/w6rwrqXr41Rx57JqGPPBMAwDKrKiigtzKa0KBdfWzBxfYd1icp2TUTED2DtulWd3QxJN6fLypYWqwvnXfco1z/yPgsXrWTSpDNZvXp98/vu7m5ERobzxhsf4dQF5133GFMvuaPzGtwK4pKHcelt/+Grr37gt9/mMG/uDC6//DzKinKZcMpFnHTeLZw4/VoAoqLCm/dLTIyhqsw0quvbN5GVK9fisNspLchk3LhRREaGHXXbcnPzOeOMy7n44usBCAsP478vPnrUx5WYOHUFrRcPiCMDBP3CdVala9TbW96mqfx8crjOul0WUnLUg6adqSr0CTUorVH5e7vW7dPUFAUGRulYLZCa23UGG5L2R9ldln7acAf9I3R2Fqn8ts7K+kyNqvq2P19JtcK8FAterqah/aFEJzCjo4AjjoaRdDxWC5w2xLHf3yzEVzSn6f2T0pqjf1BFBghOHeIgNrDjIje35WsUVfXih6xEIulQ3N3d+Oqrdxg/fiRvPHIZs755A8M4sshLVVXxCwwlYcAoRh93Fn2HjMfF7RAhyB3MwJHHkbZtOw8//DwOh6OzmyPppnRZ4amJIeNO4oHXf8fFK5hTT72I1157v/mG37w5lS1bUjn+rKs5/qyrukX435jjp3PWlffz6qvvcc45V3PvvTczbtxIyopyOOm86xk8Zgpgej014erqirF7Rt3Q0MCiRX/j6e1Heuo6LrvsXAAKC4v5+uufuOuux8jLK2h1e4QQfP75dwwceAxLlpi5yvfeezNr18whMDCgja5aEuRjUFqj4OjFGVS+HqawtDlHO+DkRlFgSLTOoCgnm7LNaKaDiUkxgQaj4p0UVKrMTbEyf4uFhm78PLRqkBBssKtExdmL75XeilWDgVEG04Y5iA82SC9U+X29C7+tszJ3s4UtuSq1jYc+zsGoboAFWyz4epiiU2uiqhod8PcOCz7uBrZOrr4nOTzcXGBM4r6diZ+noM8BIkrr7G0j3rhaYWwfnUnJDtytHXPPpOVLwV4ikXQc7u5ufPvNe9x55w38+ul/efuJq2ior+3sZrULQ8adxDnXPMw773zC1KmXkpub39lNknRDur5SAwSERHLnC99x7JlX8fjjLzJ69Kl8990v9O+fxFVXXcwf37zJDx88e8RKc0dz8nk3cNeLM0jbkc3xJ5xLY6MdR2MDAJEJ/QFYvnwNAA6Hgy1b0nBzN6vL5eTk89fcxXj52vD39+fss6cyf/4SkpPHc8MN9/Dhh1+yY0dGq9qRk5PPOedezS23PAhAcnIfVqz4gwceuA03N5nn05aE+RkYQiG3rFt85doNFwuMjNPZVayaZsotoCgwINJgWKyT/HIF5yG+1gkhBmeOcDA52UFFncLGrO49+YgP1nHokFnSu++V3oybFYbF6pw50sH4JAcR/gauVkjJ0fh1rZV5KRZyyo4swm9TloZVg8n9nFhbkWyvG7A0zYLdaZqKHyhVVtLNOMC9o6ltKxJF+AtOGeIgyOfQ4zMPV8GoeOcRtyG3XKG64Yh2lUgkkiPCYrHw0EO38913H5CxZSWvP3QJNVXlnd2sduHE6ddy5wvfsnNXPieffCHZ2d2nwJeka9BtZjaaxco5Vz/Eg2/Mwjc0ieuuu4vJk89m+vTTePbZB/nrh/f44Lkbqa4sJT8rjYLsHZ3d5IOS0H8k977yC1aPANau3UjysEkAuHt4YwsKZedOUzy68cb7WbNmI1Mvvh1Xdw+++OJ7Nm7YTHlxHpdddi5ffvk906dfae7r7s4ff3zDMccc3OROCMEnn3zD2HGnsX7jds69zkypu//+W0hKSmjHq+69eLtDhL/B6gyNitrenQ6gKOakuqBCYX2mhnGAOUbfMIOTBjv3M8090DHD/AWJIQbZpR0bLeTQIbdMISVHZUOmxup0jeXbNRanWpi/xcKSbRZW7NBYt0sjo1hFP8T8y8sNwvwEGQcQ5iS9B02F6ADBsFidiX2dnDXSwegEHUPAkm1WZm2wkl506HuqidJqhaxSjQFRequ+V0LAmgyNkmqFiX2d0lS8h6AbkH2ARZAg77aPTnK1wrH9nPi6H/xGHRHrJCHEINzvSNugkJonlVGJRNLxnHDCJH777XMqi7N4+d7zqChpffZJdyK+3wju+d9P1NTZeeutDzu7OZJuhiLEoddMq6qq8PX15aUZm3H38O6Idh2S9K1r+PHDZ9m5ZQ3PPfcQHh4e3Hrrg/tsc/8rvxKTNLiTWtg67A31bF49nyHjTkLTzOXnZ28+mVNOGMWVV17E+PGncelt/yEmaQjP3HQKAF4+/tRUlTN06EDWr99Mv+HHsHXtIt5//yXOPff0g54vKyuX2257iAULlhIW3YdRx55JRWkBS//4mj5J8fz048eEhAS1+3X3Rhw6zN1swe5UOHmwo12Ng7sDhoDl2zWcusL4pNYJTIeipgFmrrcyJFonObz9IiAbHZBRrJJfoVJcpWAIBReLWVnKqjX9C5omcOoKdifYnQrVDQruVkGwr4GrBSrrzfRLDxcI9DaICTRwd4GUHJW0fI2zR3XjvEFJu1JSrbA1VyO3XMXNKkgM0YkNarninBCQVaqyaqeGt7tgykAnh8pM1w34e4dGdqnKmARZNayn0BTB1lLlOYsqOG2oo93Kxq/bpbHtIOlw04bZ8XIzoz2Xbz/S2jeCKYOcBHjJlFCJRNLx7NiRwdRplxKdPJar73u9s5vTbnz5xkNkbVnM+nV/dXZTJF2AqqpqYmKGU1lZiY+PzwG363JV7VpLfL8R3PH8t3z3/pM8/PDzzJ//I3Pnfk92di533/04JSVluHl4dXYzD4mLmzvDJ562z2uubp7s2pXF66+/j58tmDHHTyc3IxUvH38SB45h7Inn8M6T17J+/WYuufV5Jpx8IQ9fMY5Fi/7eT3jKyytg9er1bNu2g5SUNH7+eVbze/lZ25n19Wv4+/mi605St6bRv/9EJk4cy1lnncK0aScRFCR9ntoKqwaTkp3MXGclo1htV2GkO6AqML6Pzo5ClSXbLExIcuJylD2SlxvEBZklxBNDjHZJCyqvVVi8zUKjA4J9BENjdML8jEOWogeorIPtBRoVdQplNQo+7gIPF0Gd3UwR3JCp4eMucBqmICUEskqTpEUCvQWTkp1U1UNqnkZqnsbmHAuB3qYPk6JAg8OsqFlRq+A0FKIDdEYn6IcUnRodZpn68hqFiUlOIgPkJL4nYIr9LYtOACPj9XYTnQAGRpr3XnqhSqNz/45te4HGsFidEN+jeTYqbM7WmNyv+1c6lUgk3Y/4+BjGjB7Gn7NnYxhGt/AfPhKi4vuz9I8vEUKgyIGqpJV0W+EJQNU0pl/9INs3LuOCC//Nzz99jJ+fLyUlZQB88/ajqJrKSefeQNLgg6efdSUmnnopH//PrNB30U3PYLG6EJM0mBe/Xt+8zR3/+YbgsFicTjtfvHY/ZcX5qOqeL35WVg633fYwCxcu459BbQEBAdx3382MHj2Mfv36UF/fwIlTzmfH9p0YhsGiRctYtGgZd975KN9//yHHHz+pQ667N+DpClEBBjsKNfqGGb1eVFAUszJdqK/Byp0WRsa3rsLWwegfoZNRrLK9QKVfRNuKe1klKit2muLQCQOceB7mJM3Xw5zctUSjA3LKVCrqFHRDEB0o7w/JofFxh9EJOsNjdXLLVTJLVAoqFYRQcLMKPF0FEf4GNi9BsI845D1V3QCLtlqxO+G4AU4C2yH1StI5FFQo5Bwgxa4pYq49sVrM4hEDI3WySlW256uU1e5pz7Z8DcOA4uqj6/jyK1TKaxX8pRG+RCLpIMrKyvn55z/45JNv2bBhMxfc8GSPFZ0AXN09MQyD9977lKuvvgSLpVtLCpIOotum2u1NRUkBrz98Kfa6cu6772aqq2tITd1OY2Mjc+cuJiJhCLc/91VnN/OwmD3jHXz9gxlzwvQW3y/Oz+KPb15nxdwf8Pf347bbruGqqy7Gw8OdsrJyJk46k5o6O+4ePhTlmX5RQ4cN5sorLuCii87Gat13dl9ZWcXSpatIT9/Fjh0ZfPLJNwDYbDa2b1/eozvPjqawUmH+FitTBjoIkJO6ZmoazMpZw2N1bEeZJvH3do3yWoVTh7bdqndNA/y+3kqkzWB0gi5NliU9jtJqhUWpFlwscEw/B97S06lHsSFLY2vu/h2Xv6fBiQOdaJ3wmN9ZqLIqve0nLP0idIZEy9KgEomkfWl0CJ56+lXefO3N5tcsVleSh04gceBoxp5wDr624E5sYftQUpDFI1eZgQlvvvk8F198Tie3SNKZ9PhUu73xCwzljv98yxev3c+99z6Bt483l15yLvHx0fz88x/42QI7u4mHzUnnXt/i62VFufz2xcusmPcDATYbTz55L1dccSEeHnvyfO6++wny88wylw111Vx99SX8+9+X06dP/AHP5+vrw2mnndD8+zXXXMqkSadTVlbG1KmX8PXX7+Lre+AbSdJ6mlZha+0gExn34OUGob4GczdbGJVwdKvvimJ6KrUl6zMtuFqRopOkR1JQqbA41YK/p2BSX2ev96DrkRxAz/fzEJ0iOgHEBxvsLDT2iXxqC7xc5aKORCJpH3QDiqoUckpVskpV7F4DAPDz92PkiCF4e3tSXV3LrC9fZtZXr3LNA28zcNRxndzqtsPpsPPRC7cSGBjIU0/dyznnTOvsJkm6CT0i4mlvSgqyWPz7Fyyb/TU1VRUMn3Aq2zYso++Q8Zx3/RP4BYR0dhOPiv97/mbWLPqVW265hvvvv3UfwQlg7tzFnHvuVVgsLgQFB/DnH18TFRV+ROf6++81nHrqhc2/L1/+O8nJfY6q/RLTt+e7FVaGxugkhfVun6d/klWisGy7OeO1eRp4uQlcLNDgUBid0HoPqKp6qKpXiLS13eTjp9VW4oMNBstVdEkPo6hSYWGqhWAfwcS+nRP5Iml/NueobM7evxMN9DYjnjqLrbkqG7Ja7txVReDustvrToABNNjBEAdfWAj1NTi2v/R5kkgkR4dTh/wKhap6hZoG86eiTsGhK3i6CqICDBKC7Hi6Kftlh1RUVHLDDfcxZ85CJpxyEVPOuY7A0OhOupL9MXSdxsa6w5rbG4bBF6/dx8r5P/LnH18zfHjXLuIl6RhaG/HU44SnJuyNDVSWFbFj8wo+ffluNE3DPyicpz5c0tlNOyqK87N49cEL8XLT+OWXT4mOjtjn/alTLyEtPZ/y4nyeeOIebrrpqqM63/bt6UyYMA2Hw6yulZGxGj8/36M6pgR+XmMlPshgkBQxmimpVliboe218i3wdIXYIJ2+oQYubRyBoRuQXqRSWKniYhEkh+v4HMAgvNEBf2y0Eu5nMCpB/s0kPYeSaoUFWywEeJuRTjKar+eyo1BldQtpbQqC04e3XzW71rApWyMlZ/+bLy7INMTf25ts/hYLhZWHVkdlOrtEIjlSKuvMwh3ZpSpOw6xc7OUm8HIV+HoIIvzNfw/lm+h0Onnllfd4662PqayqInHAKPoNO4YBIycTGT+gw425q8qL2bJ2ESmrF5C6bhE1VRWER/fh/td+w+py8Pz6JtFp+ZzveOut/3DhhWd3UKslXZ3WCk89dl3TxdWNoLDo5rzak08+Dk3r/iPqoLBo7nj+G+rsMHXaJWRmZje/t3r1epYtW0nysEnoupOhQweSlZW7n7n44dCnTzy7dq1h2rSTAEhLSz/qa5DsRhpHNyMELNtuAQVGxTsYEOlkYKSOq1WQkmNhzmYrOwpVnG2k+VTVw8x1VtZmaNidUFChMnuTlV3FKkWVClklKtvyVTZkaqzYoTFzvRWnDuH+MkJN0rPYkKnh7S5Fp96AbS+zbR/3Pf8XmJU6HZ2oqQ+I0HG17D9WKahU95nYpeWbiwVuVkGQj4GmHHh8szTNQkWtfNB2JEcx3JRIugS6ARuzNP7caKWwUiU5XGfaMDvTRzk4aZCT8Uk6AyIN/DwPLToBWCwW7r77RjZtWsD//vs4ceEezPnuDZ69ZSrP3zaNVQt/QdfbPzrz969e4+kbp3DfJSP55H93Yq9I59KLzwSgvrYKVT34AKAgZydvP34lf/81g7ffflGKTpIjosdGPDVRU1nGI1dPpKGulgEjJ3Pzk592dpPahLLiPF69/wLiY0KYNetLAC699EbWbNjJCdOv44vX7m/e9uuv3+Pkk3tObnF3xxDw4yoryeHmw0tiln3/abUL45McRO9Vul0IKK1RSM3TyC1TsFogMcSgT6iOu8uRn88wYF2mRmKIjq8HOHRYscOyT8UnTRG4uYCbVeDvKRgYpR91xT2JpCuRWaKyfLuFgZFOBkbJvqinoxvw/UorhlAYEu2kql4ho3jPZGNSsoMI/85TDlqKZNr73swqVViWZmVEnJPEELPqZ3apwtK0A3fMFk1wbD9ZnbGtKa9VyK9Q8HYTNDgUymvNH0WBpFCd2CD5eUu6PkKY40+HDnV2hdwylexSFbsT+kUY9I/Q2yX13G63s3Dhct566yMWLFhKUFg0069+mKHjT277k+3mhtNiAIiJieSmm64mPj6Gzz+fwa+/zubRd+cSHB7b4n6GrvP9B8+w4NePCQsN4YUXHt3HE1gigV5mLn4wvHxtXPvgO/z80fMMGXdKZzenzbAFhXPWVQ/y3jPXs2FDCjU1NcycOYfLbn+BkZPPxN5Qz3fvPcG4caOYPHl8ZzdXshvdMFdsHbpCiK8cmDVh2f1g143dRh67URQI9DZ9Z2oaIC1fIy1fJTVPJSbQoG+Yuep0uKgqjIjbs7xv1WBCkpOKOgVNFbhZzdc6OAJaIulQCivN+z05XIpOvQFNBV8PQXmtQr1dIS7YaBaeVEXg59G5z6TxfZysydDIKVMxhIKqCBJD9tybnq6QFKbTJ3TPa1EBghBf44Cpd05dIS1fJdBbpki3JWU1CpuzNQyhoCgCX3dzgaa0WuHvHRbC/B249vgZhqQ7IgTklSvklKnkVag0OvYM9NxdBDGBBgkhB7ZeaAtcXFyYMmUyU6ZMZuPGFJ5+5hXeffo6Rk4+gwuufwIvX1ubn/ORt+fw57dvsXnVXO699wkAPL39uOz2Fw8oOgH8+NFzLPz1Yx55+A6uv/4K3Nw6MSdb0u3p8RFPPRlD13nsmmMYP2YgGzduxeoZzO3/+Ranw84zN07B39eNP2Z9KT2ZughCwIKt5opuUqjOsFhdChu7KahQWLDV2ipPDrvT9Gbalq9Rb1dIDHGSFGa06yBBIumJpOapbMrSmD7aIQ3Fewnrdmlsy9eIshmMT3Lyy1or9XalS0W9OXQorjKjZ8L8Di2GFVUpzEs5cNRT/widQVHyedvWOHUzgtuimos5YP7d1mRojElw4u/Vue2TSPamSXDalK1RUafi4y4I9zcI8jawWsDFAr7urUufa/u2CWbM+JV773sKQ2hccONTDJ84tV3OZRgG9bVVNNRV4xcQimY5cN/psDdwz4VDufWWq3jwwdvbpT2SnoGMeOoFqJrG5NP/xff/9wwurm489MYnqKrKkj++oqw4j99+nilFpy5Eea1CYaXKhCQHUQEy2qmJRgesSrfg72lg8zr05+JigeRwg6RQg6xShY1ZFtKLNPqGGfSP1LFKnxqJpFX4uAt0odDgMKNJJD2fPqE6afkqdXYzotPHXVBvVwj0MfvepmjSo0llPlqsGoQfRspfkLdAU8x7uSW25GrsKFBJCDUYGNk+qTO9kZY84fw8BRV1KpX1Kv5eXUPIlLSMUzcFQ7UXCLL1dli+3UJRlUqwj8GJAx1dKv1WURTOO+8MjjlmHHff/TjvP3sjwyeexsW3PI+nd9vO41RVxdPbD09vv4Nu11BXw48fPY/D3sh5553Rpm2Q9F7k47ebM/6kC/APCuPsqx4gOCIOgNyMrfQfkEyfPvGd3DrJ3lTUmU/30Fas4PYmtheqNDjMVLfDWWlSVYgNEpw21EH/CHMy9fs6K5klqjQ4lUgOgVnVUcOqCeld1ovwcoOYQANXK+SWKc0pakWVKnnlCuszNRqdezrikmqF1DyVoqo9rxnCrPjUVVAUcD2EUGbXFXLLTB8iSfth1cDTVVBW09ktkRyInYUqv6yxMmOlCzNWWPlzo4WdhSp6D9UJi6oU/txopapeYXI/B8cP6LqebyEhQXz66Rt8+OGr7Ny8lP/edRZVFSWd0pbXHrqYRTM/47nnHpbzSUmbISOeujkeXr5c99A7zP/5Izat+IuLbn4W/6Bwtq6ajRCixTKdRUUl/PzzH8yfv5TMrFwaGxtpbLDTaG+ksbGR2ppadL1lP4T//e8Jrrrq4va+rB5JUxWhnDKVuKAe+oQ/AiprVfw9BV4Hr+J6QCwaDIwyiA0yWJ9pYfl2CzsKDUbE6kfk/3QwhJC+T5LuT1W9ufpbWacwPskpI0B6GUNidKobFOx7FVLakqthrkUqOHWzr1udrrGzaE9YS/8IncHROgiYvcnKyHi9+VmmG2YadGdESlXWQV3j/h2zqggCvQWlNQq6oWDzFF12wtmTSAjR2ZSlMSDSFDglXYfSaoVV6RrRAQZh/gKnDvkVKqvSTf/M0Yk6Aa2IPO8uZBSprNypEegjGN/H2amRnK1FURTOPvs0hgwZwMknX8jHL97GzU9+itrBldldXN3x8PBg7NjhHXpeSc9GCk/dnNkz3uHHD58jOjqKrKxsvn7zYSaeegnl5eVs27aD5OQ++2y/fv1mzj//WoqLO0dB780EeguiAnQ2ZGpE2gyZErabED+D1ekWCiuPznDdyw0m9nWSX6GwNsPCglQLQ6N1YttQ5FuyzYLTgNEJTpmaJOl2OHRIyTEnGJ6ucOJAZ6vSWyU9C3cX00QXYGiMk/WZTUNBU7wpqFQI8BL7VPkEU5zycRdE2gxUBVbt1Aj2MdAU+GOjlQaHwoBI00+pI8ko2vdhGu5vEB1gEO5v4GKB2gb4bZ2VXSUa7i6CwdGGXEBoR9ytIFDkZ9wFyS5VcbfC2D56c4pdn1CD8lqFlTs15myy4qIJvNwEHq7mM8PuhEaHgkM3ixOE+hqE+glsXqJLp+ntKlZZsVMjPthgZLzepdvaEvHxMXzwwUucffYV/DnjbU694OY2P0dxfhYlBVkkDhiJ1WXf1d8r7n6Vd5++llNOuYh3332R009vv4p7kt6DFJ66OeuWzGTw4P7Mnfs9Cxcu57zzriYycSB+ASE89tgLfPLJG80VCP78cz5XXnkb9fX1ALi5uTFx0hjiYqPx9vbCy8sTLy9PvL3Nf/39/QgNDSYkJAgvL8/OvMwew9AYnd/Xq6TkaAyNkVV2ABKCDbJKDFbssHDKEAcuR9krhfkJThniYEOmyt87NFQFogPbRnwK9zfYkquxKNXCKYMPLzVQIulMahpgXoqVRif0j9TpF27ISCcJyeEG3m4OVqdb0AUEepnV7RSlycNHMDhax6LBtjwzemBdpoZDNzu/XcUq/SOM5sqkKTkaXm6iQ6N6qxv2dMSDo530j9j33J5uMDhaZ2OWxtY8C3ZdZ0Rc95uIdhd2lagEehtH/SzvLjQ4oLreFNpcLWb0dlccG1TVm4VZIgOM/e59f0/BlIFO8soVqhoUquvNypcuGni7CVwsAosmKKsxC7tszlGwaoK+YTr9IrresySzRGXFDo24IINR8d23sMAxx4zjlluu4c23XmXY+FMIjUo86mM2NtSxcv5PrJz3PTtSVgMwYtJUrnngrX228wsM5Y7nv+XTV+7m8stv5qGH7uCuu25oMZNGImktsqpdN2fBr5/w3buPs2LFHyQmxnHzzfczZ/5qpl/zCB/+52aGDR3Ib799xsqV6zj99EsxDHNAdu65p/Pccw8RGBjQyVfQ+9icrbIlV+PUIQ68ZSU2AGob4c+NVvw9BZP7OdtkQiAErNihkVmqkhhi0D9Cb5Mw65Jqhb82W5mY5CBSmsRLugGNDjM1SlVgcj/HEae1SnouumGaDO89p1idrtEvQm+O7nTqsCFLo6hSobJeARS83UyfvS25KpuyTaXBz8PglCHO/U/STixKtZBXbs58J/Z1EGlruV9ena6yo9BsY3PaoKRNEQK+W2FlcLROcnjPsRSot5vX5rHXd2F7gUpmiUpF3b6qi6erYHSCk2CfzqmQ9k/sTkjN00jNU/FwgSmDHEeVAmkIKK9RyCpVSStQ8XETjE7QD1mRuL0RAvIrFLbmahRXq8QE6oxJ7P4Cc319AxMnnYHiauPOF2agqkeu8jkddl6+73x2pW1g8rETuOjCs8jMzOHZZ19hwskXEhGXzOAxU7AFRzTvI4Rg5pevMvOLl7nmmkt58cXH2uKyuhyGgLpGqGlQqGlUzH8bzOIrmmpW73SxCLzdzYWV7pC22ZHIqna9hAknX8Ds797kyitv56mn7jV9nYAhY6dw85Of8tJ953PZZTexbNmqZtHpwQdv4+67b5KqdSeRHG6QXqSRkqsxNlEOfMGsqDUhycmCrRbW7dIYEXf0n4uiwOgEHW93QWqeWdXI5iUI9hVEBxj4H6H/U6C3INjHYFWGuXIeFyTTNiRdm8JKldpGhalD7VJ0krRISxELI+P37YctGs198+Yclc3ZFqobFIqrFaIDDTZlm9s1+Rl2FF6u5vk0VRzw3NX1kFmyJyVvS65GUpgujfXbATerGQHUU9hZqLIq3YKCIDHUjBbKLFFpdEJ0gEFyuBM/T3PsXdsIW3M15m+xoikCTzewagIBsPvWVFUzsjDY1yDIW2Btp5mY3QlpBSrb8jR0wxx79o/QW6xGeDioCgR4CwK8TSuDlTs1/tpsISnMYHB0x1eN1A3IKlVJzTWrKQZ4GUzs6yDCv2sIf0eLu7sbr736NNOmXcLqhb8w+rizjvhYi2d9QXrqOmbN+pqxY0cA4HA4qK2t448/FrBi3vd89+4TTJ72L6Zf/SAWqwuKojDtkttJ37qGTel1zN3QyKBYN4K6iLB6uAhhRilW1CqU1ylU1CpU1KlUN4DYXRlVwUw19XITeLkKdAG6rlBZp5BRrFFSZXBMv0MvrtQ0mB5qFXUKDXYFm5dBiK/AqoG3e9dOVW0vZMRTDyB7ZwofPH8ThbkZAIw/6Xwuu/1FABb+9il/ff8uJYU5APzf/73MOedM67S2SkxScsyopzNHHH1qWU9iR6HK6nQLI+Kc9Altu9VSuxOySlQKqxSKKlXsTugXYTDgCEtr19th3S6NrFINf0+D4bE6QT4y+knSNcksUVm+3cLJgx1HLLhKJHvT6ICf11gxhEKQt8FxA5x8t8KKEAoj450khnRctEtxlcK2fI2hMc4WhVWnDnM2W6j8R2TKqHgnCR3Yzt7CrmKFtHzTTiD4KHwbOwtDQEGFWQGxtEYlr1wlLkjHw9WMcnKxQJC3OX5o6X7TDSisVKhuUKhtML2R9p6gO3UorlKpdygoCPy9zAiK+OAjS1kTAsprFRodprZVZ1corlLIKzcr1SWGGPRro4jvljCEmYa7KVvDz0Mwsa+zOTKsvRACymrNa0wvUqm3K4T7GSRH6AR5d09B5FBcdNH1rNu0k0ffmXfYRuOGrvPHN28w86tX+dfl5/PSS0+2uF1NTS0fffQVTz39MgNHHc+1D76DEIIvX3+ApX9+zfV3Pcb4066gtlHFy00QH6y3e/SPYUBNI1TVmymg1Q1mAQxfD0FMoHHQxTTDgKqG3eLSXkJTU+VWi2amlvt7CHw8RLPQ5OlqCsQtkZKjkl6kYRhgtYC/p0GkzSDSZt535bXmIkdeuUJVvYqiCHzdBa5W81ll7Ba3bF4GYxOd+PSQzJfWRjxJ4amHIIQgb9c2qitLSBgwCqt1T6//xWv3s3bRz/z448eMHj2sE1spaaKmAX5b53LQtIDeytpdpvnxqHi9XSYFhgFbclVSdhvlHtvvyCudFFcprN2lUV6rEh2gMyRGl6bjki6HbsCcTRYMYZaTlveopC1YnGohd3eKW59QnZ2FKoZQWvRZ6iyEgBU7NXYV7z9RUxXBuD5OomTKdJuiG7Bgq4WqOoUTBznw7iZRlg0OSMvXyCgyRSEXi8DbTZAQYlbNbcvoBCHMcWBhlUpBhUpOmYKnKwyM0okJbN25ymsVUvNU8itU7M49OygI/D0FIX6CpND2E5z+SVmNwpJtFgwBx/Z34ufRtt8rhw6FFQq55eY1NzhMn6lIm0HfcKPNz9fV+OCDL7j77sd59tO/8Q8MO6x9Z339Or99/hJ33PFv7r//ViyWg694z5w5h0svvZF/P/wuNVXlfPHa/bz66jNcdtl5gClsphepZJeq6MIsWOHhIvB0FXi4gIerwM1q9rGKurteqmpGyzWldCuYIqxDB7uu4HCa/3c4Few6NDhMoammwSxWAGBRzVQ3TTUjljQVRsQ5ibQJ6nd7rVXVm6JxRZ0ZodQk9Hi6miKTn6fA38PAz9MUmA5XpNQNc+xfVKWaInK1QnmtSlSAjhAK1fXQ4DSF0HB/g1DfPVGNDqcpDNc2wrpdFqobIMjb/L5aNDNisrZRIcLfIDH0yItQ1TSYx+nIdF8pPEkAyEhdxwt3nsVLLz3JlVde1NnNkeymSXgam+hs06prPQEhYE2Gxo5CcwU7KaxtB3xNlNcqLNpqwc1FcPwA5xF38EJARrHKxiwNh9MMZ+/XBuHsEklbUlkHC1OtOHUY18dJmF/PHqRL2p+cMoUl2/bPVXOzml59XSG6rilNCkxxzMtNkJKtYdf3PFRiA3WGx+ky+rgNaXTAX5uteLoZjEnoOPHjSHA4ITVfY1ueCgrEBprRRx1Z8bOyTmFTtkZOmYqPu0G/CIMI//0N2puim7bmqWSXani7CaICDEL9jOaUU6uFTqua3OCAuZutuFoF4/scfeRTTQPklavklqvN0SI+7oJwf3NSH+jd89OVNm3awutvfMh33/4MwPCJp6GoGoGh0UTE9iUmaQhBYTEHtE8pK8rlsWsmc8stV/Poo3e1+rwnnXQBdYY31RUlDO4XwWefvbnfNnYn5JSp1DQo1NmhrlExf+w0Cz6tRVVMgcZFM9NTXa1mOpqPmyk2+bib8lNxtSkobcvTcBhN5xA0VWX19zTnVH4epqDj52kKTu3Zv6cXqWzJMb90AyJ3i8eHiF506maKaE6ZSm0DOHQFD1eBq8X0KrN5CU4YcHhFjKrqYVO2Rm6ZyuBonagAg/wKlep6hWBfgwj/9uvTpPAkAeDrtx4hbe0cNm9acFSGdJK2RQiYv8VCVb3CKUMc0mfiHwgBGzI1UvNV/D0Fx/d3tosPQnmtwtzNFoJ9zfDwoxnAOHTTN2RbnoqrFZLDdWIDjaMy8ZRI2pJGB/y9w0J+hcKQ3ea/PTElQdIxCGFGPeVV7D+2UBVBfLCxjzl5R1NcpTB/ixmBMTxWJynMwKnDrA0Wahv3bbOHi+DY/o4ek/awN00+I0HeptdQSbVCgJdod2Gluh7mbbFiUWF4XNcSu3XDnMDmlavsKlbRdegTZtAvXO/UZ3ZpjcKmLI2CSjNFJ9jH9JTUDYV6OxRUmmllHi6CgVF6m0ditQX5FQrL0yw4DUgIMegb1nJK4oGobYTsUtO4vbxWRd39OTSJTb3Fp3Dduk08/vh/WbRoWfNrbm5uDB8+GEVRSE/PIj8/HwAvbz+Shkxg+KSpDBx1HK5uHs37zPrmDWZ/8zppacvx9vZq9fk/+eQbbr/9YQC++OJtTjvtxFbvK4QprBjC/BHin/9XEMJMdXPRTLG0NWmmTWl31Q0KNfVmVFN5rSnYhPsbhPiY3kxdrcri4ZJXrrAo1cpx/R2EtCJduazGjH7MLlURmP2Di0VQUafi4SJIDtdJDDm0GHY0SOFJAsDrD19GQoQbn366v1It6Vzq7fDHBrOS26RkZ7fvKNuD0mqFBVsthPoZTEhqHyP2vHKFxakWQv0EYxKdRy0C1jTAxixz5RIg0mYQF2w0H9fT9fBWXoQwVzHq7UpzeDLKnpBlPw/Rrg8TSc9CiD0eBf6egrF9jjzaTyJpdMDCrRbKalvuhFRFMG2Yo909X1rix9VWnE4zwi/CJiiqUticbVa8agkvN7OtPYmCCoVFqZb9og8URXDqkPYX2qrqYcUOC6U1KpP6OojoJGsBIUxBo7jK9GzKr1Rw6gruLmaqVr9wvVPu0QNR22hG+uSUqZTVKFg1cLUKgrwFETaDIJ+uHenj2MvY3K4rBHobxAQaRAUYLY6xHE7YVaKSVaJSXG2KTeH+gphAnVA/0aueUUIIPvnkG+6445Hm12w2G888cz/nn3/mPkEEpaVlrFu3mTVrNjBz5lw2bUrBzd2DSaddxonnXIePXyD/uf10hg2I4sMPXzmsdlRWVhMbOxyA7Oz1eHl5tsn1SQ6NEDBrg5VAb4PRCQee+xRWKqTkaBRV7f9M8/MwSA43iA4wqG2E3HKzyExCSPukpUrhSQLAe89cj7dWyc8/f9LZTZG0QNOgMMxPMD5Jik8tkV6ksnKnhalD7Xi30yA5v1zh7x0WFMWcpLRmheFQNDhgV7HKzkKN6oa9/BcUc/AYG2QcsCJeUw55U4h5beOBR5iuFrNKX0yQQYBXzzTVlLQ9uWUKy3dY8HQRTEx2dhsfFknXw6mbhSFS8zQaHPt2QHFBOqMT9E7pl9LyVYJ8zDSLtbs0dhaqDIrSySlTKa1RaErNaKJfuOnT15MorFRYuHV/4QnA5mlw/ABnu6eFCwGzN1mwOxWGxzoJP8pqY1mlZppNgLcgPsj0atkb3WCPz0vtHr8Xh64AggCvpugZ896Qz8z2w6FDbpkZvVRQYX7QoX5mFJebC7hbBXV2hY1ZGo0O873oQINIf6Pdqv11ZerrG7j11geZMePX5tduvfVa7r77xlZFK6WnZ/LFF9/z7nuf4XTqnHnFfXz//tM8/fR9XH/9FYfdnocffo433/yQ8vLth72v5OhYss2CQ4fj+u9fPW/vAkctMSbBSVSAQU6Zab5fUq0QYTNICDar6rVHnyeFJwkAv3/5Kr9+/hInnDiZJx6/hwED+nZ2kyT/IK/cNGQM2Z3uJcWnfXHq8NNqK/0idAZEtp8fVr0dlm+3UFSl0CfEoH9k2/hSNEUs6YbS7M/QZI4Z4muGoesG2J0KdieU1qgU7F6N9XDZE17eVCZcCDObXQgzJzxn96Cu3q7g5SqICTJICO5aq7eSrkllHSzeZvo+nTHC0aVX0CVdl805Kn1DDbLLzEWCJnzdDU4e7Oz0iMysEpVl2y0khZpeTvNSNIqq9h2wR9oMJvY9dHns7kh+hcLf2y3NlZzANKA+msquh4vZ11ioaTBTyFwtcOoQx2GltTU4TP/H7H0mW4IwP4NQP7G7LPq+hsLebgI/TwN/T7Nylb+XkNYGnUSDw0yhyypR9xICTaICdIbK4iycfPIFrFy5FoDzLziL++69mfj4mMM+Tnl5Bc888woffPAFAMcdN5Gvv34XF5fDH9Q6nU7qHRYyS1WSQvf3HZO0PULAb+ushPjuiXhqGvvvLNztKavvO2DzdTcYEqOzYocFi2b6b2kq9A3T98m6aC+k8CQBzJDNtUt+59dPX6CkIJtbb72We++9GTe3o+vdc3Ly+fLLGdx9903SO6oNyK9QWJJqIcjHFJ+kMfW+zEux4GqBCe08MWgqC7wl1yyVmtCOZYjzKxRW7rRQb9/z8LBqYi/jzNavxhrCjJDaVWyG5gthVsdJCm3fnG5J96XeDjuLVHLLTB+N88bYpegtOSKaVmaPSXayZJuF/AqVCH+DYbHOTvVjceqwcqfpl9Mn1BRZDAN+XGVFF/uKMGeO7Nlei/V2WJVuIa+pCmGIzoj4jo3uMgzT+HZnkVmFzdvN9ED08zCrYUUFtOzfU98IG7I0MktVxD6RW6afi4smqKpX8PUQzYbCTabCvSlFq7vh1E0xyhD0SG+1I2HOnIWsWLGGCy88m8TEuKM+3ltvfcRDDz0LwLhxo/j88zex2fwP+zi6AdsLVCpqFSwahPgaRNpktGB7YQj4ba2VRidYVHAa4Ls7Pa6sZv+BWnK4zqAonZoGWJpmpapeITHEFHM7aj4phSfJPjgddmbPeIdZX71GbFw0r736NOPGjTzi41173V3M+O4X/vjjG8aMGd6GLe29FFaaaXfRAQZjEntWuP/RMn+LBU01JzYdgd1ppmlsyzcFqL7h7bMy3DTwcrGARaNNIk7sTticrbG9QMXHQzAhySkHdW2AGZUGjQ6FRufu/zsVGh17otWaHqYKZoleTTUrJAV4dx1TXTCNKBenmuavQT6CCH+DhBBZXVNyZNQ1wh8brYT5GRRUqOgGnDLE0ekmwE0GraG+BkNjTdEpNU/dLz3Bw0Vwxoie5e10IEqqFcpqTJ+PzhKahTBtBoqqVOrsZiqWc3d1Kk01F19crSAMqGowTbXNXlXg4SoI9TVT1YO8zYmvYZh9rxTOJZL9+f7737jmmjsA0DSNH3/8mEmTxh7x8cwofgVFEXJs2Y40OsznVXmtQnmtuk/EahMW1fTpjLQJsksVlqZZAcGwWHPhuSOFQSk8SVokLzONz1+5h4xt65ly0rFcfdXFHHvseFxdWx8B9d13v3D99fdgGAY333w1Tz11fzu2uHfR5Gc0PslBdEDXmqx2JotSLVTUmhUAOzLM1+6E1DyN1DwVbzfBmES9Q0ssHw1lNWYKZ6C3wfh2MmbviVTXmxWgahuV3T9mieCWHvoKplG8qxVcLGL31MgcmAHUO8zSwn4eZtlnP0+Bu9VM9fBxF53iYVFarTBviwVfD8Gkvs4uXeZc0n2oqjdTlctrVXzdDU4d2vlpa5uyNFJyD73cqyqCc0Y7pHDRCewsVFmVfuCOUFMFvu6CuGCzSIdF/o0kksNm0aLlnHnm5c2/33HH9TzwwK1YrT04zLMb49TN52leuYKgZfXIw0UwuZ8TXw+zcMairRZ83AXD43QCO2GxUwpPkgNiGAZrFv3KH9+8QV5mGh4eHowcOZSxY4czZsxwBg7sx7x5i/n77zWUl1dSWVlNeYX5b2VFJRUVFQwadTwpaxbw6KN3cdtt13Vo+4UQVFZW4efn26Hn7QiEgGXbNQoqVKYO69mh/4dDbaNZATDYx4zg6ej0sYpahb93aFTWKQyINL2mukOIcUqOmTY4ZaBzPwNWyb402GH5DguFlWZFHU9X8HA1U0A8XAUeLmZVIVeLaejuagWrxkHvA0OYJt555SqlNSpV9dBkaGzRBEmhpsdXR5XvNgTM3mia6J/QAabCkt6Fbpj9dHWDwsQkB+H+nVtxc8k2S3N10UMxZaCjy0Um9ga25Ko02BVTlHcRuFvBajFT5CwqMlVcImkjSkvLuP32R/jtt9kADBrUn7/++u6IfJ8k7UtpjcKcTQceGPq6G0zuZ47hNmZp7CpRGRSp0yfM6DSvTik89XCK87PYsPwPdm3bQE76ZhrqatB1J4au4+bhSUTcAKISBxIVP4DEAaPw8rXtdwwhBPlZ29m0ci7pW1aTkbqG6sry5vdjEgfi4e2Ph5cv7l4+eHj54uHlS3hMEvW11Xz04m2MHj0cHx9v7rzz+qNK3Wst9fUNDB48mZKSMsrK0lC6w+z/MKlpgN/WuTC5n4MwPzkQbqLJhL2zKgAaBqTkaqTkqMQEGoxJ0Lv8oLjRYaYp1jQoZmqCj8DbzRzgu1r3Te3TDdP4vLDSDOu1qOY20YFmtbyeztoMjbQCrbkaSHuIMoYw/yYNDoXMEpXtBSqKAhOSnB3yXd+Wp7IuU+OkQc5uE7kn6V5kFKms2G0wblEFAd6CQG+zilWwT8d6gjR9p1vD8FgnSWEy3VQikfRsfvhhJldffTsAJ510LN98837nNkiyH4YB2WUqy7fvHw0a5G0wKdmJEPDXZisBXgaDozu/oFBrhSfpTd8Nmf3dO/z62X+xWDSGDBnI9DOOxWbzx2LRsFgslJVVsHHjFlb8+Tm/l5aiahr9hk1k1OSzGDLuJNw8zJKciqIQHpNEeEwSYApRhTk7KcjeSVB4LBGxB66AV19XzejjzmLl/J8A6Ns3sUOEp5tveYCSkrLm9vdkGh1NiTsSgHB/MzVoyTYLi1ItTOpgE3ZVhUFROr7uguU7zIoS4/t07agRVyucMNDJpiyN/AqVHYX7Guq67U4Ra3DsSSWzagKbl/laYZXCtnyNKJtBZICBpgiKqlScu+dnVg3cXcxoIJ/dxq7dkcJKhbQClVBfg9ig9otmUxVwdzE/M39PneRwswLJklQLk/s5CfZtn8+vwWGuiqUXmSbLUnSStBexQQZ5FTrZpRpOwxSyCyshBQ1PV0FyuE5CSMesyrpYWn+f1zT07PGERCKRAEyfPpWhQwcyYsSJzJ69gD/+mMcppxzf2c2S7IUuzIIKe+Pjbj4/YwJNf76UHJUxic5OSas7GqTw1M1YOf8nfvzoOW699Vruu+8WPDwO7OwmhCA3t4A//5zHd9/9xsf/uwMXVzcGjjqBUceewYCRx2J12eP+qSgKoVGJhEYlHrIdiqJSWpiNxWLh8svP5/77b2nx/FVV1ZSWluPv74u/v98RXfPezJmzCFWz4ObqgmEYPa6iXkWdwh8bTHO4QG+5+vpPwvzNnOZFqRYWbLVwTLKzw0u7RgcaWDXBkjQLS9MsTEp2duky9FYNhsfpgE6jA2obFeodUG9XqLcrOJzgajVLrfrtLjfddD2GgF3FKltzNbLLzA/ay1WYfkaKaapdZwd9tzGsv6dBcrhBTGD3undzSlVA4Zh+jg6NyHCzwsS+5v28KNXC6EQnUW1UKUYIM3oyp8xMt1SA4bE6iaHd628j6V4oCoxO0KmsU6mq3/dGrm1UWJNhYVexwch4Hf92Tv/95/kPRmPnW1JJJBJJhxAfH8PSpTOZMGEq33zzkxSeuhgbszTqGvc8vyyqYEKSA1+PPdv0j+gelh//RKbadTO+eO1+0jctYP26uYdtCpednccPP/zGjBkz2bx5Cx5ePgwZdzKjJp9J0pBxaFrrZ/Drl/3Ju09fx3nnncGUKZNxOBzk5OSRm1tATk4+O3dmkpmZtc8+Tz11PzfffPVhtfmfnHTyBaxbuxmn005KymLCw0OP6nhdjcwSM7RSptkdnNJqhYVbLQT5CCZ1UKW7f1JQobAw1UJCsMGIOL1bPgAOh0YHOHT2q1QlhPl6cZXC9gKNwkqFkwY7231S2RYIATsKVdbv0gj167x7qclIMrdcxd/TICHYwNVqGpe7WJr+NT1PWrrPxO4Uvjq7QmmNQlGVQnGVSoNDQUGQEGIwKKrjvKQkkvJahdkbLQc0RlUQ9I80GBjZPn2nEPDLGiv1jpYP7mIR9Ak1SMkxRWd/T4MTB3Z8CrdEIpF0FkVFJbi4WHukZ253pbRaYc7mfQdr4/o4u/yCrky166GMnHwGf/81g3//+x7ef/9/aNqB83ycTidbt27H1dUFT08PfHy8uOmmq7jttutITd3O99//xnczZvLanO/wtQWRPHQSSYPHkjR4HAEhUQdNZQuPSSIgJILvvvuF77775ZDtVhSFmJjI/V5PSdnGWWf/i6+/epcRI4Yc9Bj5+YVs3rSVoIhY8jPT0PWu/SU8EkJ9Ddytgq25GiG+XTuSpjMJ8BYMi3OyNsNCdT14d0JJ11A/wcg4nVXpFrzdBH3De979uDeuVloULhTFFEUibIIwPyd/brKwcKuFuCCD/hF6p1RuOxQNDrOE97Z8jap6hcQQnaExnVf5z6LBpGQnRZUKG7M1VmdoNJmQ+3kaVNSas2EFsxKei2ZOnAXQYFdocNA8wVcVM1UyLsggyMesptfRUYESib+nIDncYGtey2MUgUJKjkZVPYxLbB+/PMdBvtIDI3WSwszvyN/bLZTXKvy61sqYBCdh/l1fNJdIJJKjJTg4sLObINkLIWB95r7PzMQQvcuLToeDHI52M/oOGc9V973O/z13I1nZebz91vP06RPf4rZff/0jt9zy4H6v+/n5snjxrzz00B08+ODtrF27kZ9+msXCRSv4/NUfEUIQGBJB4qBxJA1qEqL2FY2CI+J48v8W85/bTydrZwoAVhcXQkKCGTF8EOPGjWDs2JEkJSXg7u62XxuaePrplykpLmX58tUHFZ6cTid33Pko9fX16AVZHDN5ApGRYa35yLoVrlYY28fJgi0W1mRojOwFkTRHipsFHLrSqSvUCSEG1Q066zI1fDxEr49SU1U4rr+TtRka2wtUKusVJvV1dpl72BCwaqdGRrF504T7CUYndJ0c+WBfwYm+TgwBDifYm38U7LqC3WlOpu1OM0VSAO7+TdWgBG4u4OsuurTvmKT3MCBSJ7tUpabxwB1AdqmGqsDYxLZ91ikK+HkKSqpbPqjvbj+6UF/BmSMcFFbCjgKNhalWwvwMhkTrshKoRCKRSDqMvHKF4mpzfDogUiejSO3URdH2QApP3ZBhE07lzhe+47NX7mbSpDO48cYrOeWU4wkLC8HV1YXq6hq2bdvB66//HwDnXvsIIZEJFGRv5/v/e4aKikrc3MzymYqiMGLEkGbRp7KyiqVLV7F06QoWLV7JZ3O/RwhBUGgUiQPHEpU4gICQKGzBEXj6+DeLTkOHDiI8PAQvL08SE2OJiorA1dWFwsIiwsJCzGilzamUl1cSHx/NhAljqKioZPbs+QCsXr2e/PxCbDY/XF33WPM7nU42bdrKG298wJ9/zAPAx9uLd995oceai4f4CkYl6KzcacFFgyE9rNNpKxy7FwA6e5I9JFqnolZhxQ4Lpwxx4NbL05ncrDA+SSe71GBpmpXSGqXLCDtbc1V2FasMj9WJDjS67N9KVf4ZYSaQhQYk3Q2LBsPjnCxKPfgXLbNEQ1NhZLzeplG+gd6CkuqW3/PdqxCCokCoH4T46uSUGWzIsvDnRgtxwQaDo3TcZLVxiUQikbQjhoANWaYsE+prEO5nUNfY+XOctkZ6PHVj7A31/PLZf1k+51vqaqoOuF1YVCKe3r5oLm5sW7+UTz99g9NPP7lV5ygvr2D58tUsWbKChYtWsGNHOvbGxub33dw9sVhd0KwuWCxWFEWhpqqMhrragx73rLNOo7q6hrlzF3HM1MtYNPOz5vc8vbyw2fzx9/clPT2Tmuo9I0cPDw9mzPigQyrodTZm6XMLYxKdxAX1nDDLtiK9SGXlTgvnj7V3ekpivR3+2GAl0FswsQtF+HQmQsBv66z4eXTuZyKEaTLsahWs26VR06AwZZB0EpZIOgIhYPYmC+W1hw5NDfYxmJDkbDMvssJKhflbWj7YwZ6rugE7C1U255im/GMSnYTL9DuJRCKRtBM7C1VWpZvPnP6RBt5ugtpGGBDZPeZ/rfV4ksJTD0B3OsjJSKW2qoy/fnifresWY7P5M2rUUDw8PPD0dKehoZG5c5dQXl6Ou7sbeXmbjuhchmFQVFRCVlYu2dm5ZGXlkpWVQ1ZWLplZueRk59K4W5jy9rURGBaDl28g0QkDGDLuJCJik1n0++esmDsD3WFn7JQLOP6sqyjI3kFxfiY1VeVkpm0gbdMKXN3c6TdsIgNGHMvML18hK20d3377PuPHj2rLj69Ls3y7RkGFymlDHdIY+B/sKlb5e4eF6aPsXcLDJrdMYfE2KyPjnSSGdI8HRXuTVaKybLtGoLcgyEcwIELv0NUbuxNW7DBNu5tICNEZFS+jCCWSjmJrrtq8knsoomwGE/q2jTBsGLAuU2N7wb6djptVMDbRSeghUqMbHGb/UVipcOYI+QyWSCQSSdvjcMJfKRaGxujYPAW6ATsKNRocZpXY7oA0F+9FaBYrMX0GUVNVTtaOTVx22fm89toz+21XVlbOv664FU098pmfqqqEhgYTGhrM6NHD9ntfCEF2dh4bNmxm3brNrFu/mQ3rV7NpxRxmfvkKnt6++NlC8PYPwtcWQk1VGeuWzqLf8GMIjUqkrCiX7997Ei9PV3Ly0qksLWDEpNPJzdhKv36JGEbvmtAPi9GZWa6yIUvrNp1PR9FUNa2iViHYt/NXoyNsgoQQnXW7NIJ9DHw6wfC8qxEdaKAogoxija25Gq4W03C4o0jNM6vsjU10oqnmPRJp6/x7RSLpTXi6tf47V9N46G1ai6rCiDidAZE65bUKtY2mJ2CUzWiVAO5mhaRQndoGDYfecnGFJgwDcssVdhVrOA3QdntMxQfr+1UClUgkEomkiUYnHJPsxHOP0wxV9QrRgT1v3ieFpx5E+tY11FZX8Msvf1Bf38Crrz6Nh8ee2a/N5s+vv3x2kCMcPYqiEB0dQXR0RHM6395i1M6duygoKKKgoJj8gkxWzV3MrK+L8fb159Lb/0v6ljVYLQp///07NTV1XHTR9bzxyGUcM+1frJz3PdPPuYoff/iQCRPGtOt1dBXcXEwPodUZlt1VquSkuQlvd4FFFRRUqgT7do3OeViMTlGlyvLtFlmaezdRAYKoACcz11kpq+m4fDshILNEJTrQIFamqkoknYZhtO57ryDoG9b231U3K7sLPxz+87O4WqXBqeDheuBtquph4VYrtY0KAV4GHq4C3VDYXqCys0jljOEO+SyQSCQSSYv8c3HCqZtZFMNie96cTwpPPYiBo47n8jv+S3rqWmbM+JJp007kzDNP7exm7SNGtURGRiYPPPgs7z9zPaOOPYu6unqqq2uJigrn22/fY+y40ygvzuORt//i6RtP4u23P+k1whOYldN2FhlsytY4foD0pmlCVSAxxCCtQKVvmN4l0iAsGozr4ySjWOXQScy9i6QwnTUZFqJLDSID2v/DaXBAbaNCuJ8UnSSSzsTVeujve5C3weBovcstrlTVQ1zggU3Pq+phXooVV4vg5MHO5khcgMo6hVkbrGzI0kgO0w8qXkm6NzUNpjeYr8ee17YXqLhaICrAkL6PEomk1Vg0GJ2ok1Oq0rcDswQ6ArkG04NQVZVxU87johufxsXVjYyMrM5uUquIi4vhs0/f4NjjxrNxxWzcPDx55tlXAAgLC+Hyy85jzaJf+eHD51BUjVmz5jJ//pKjPu/cuYtJSdlGK2zOOhVFgf4ROkVVKqUHKA3dW0mO0BEGZBR3na7M5iUYEdexXkbdgcQQgwh/gyVpVuZutrBkm4U16RpZJSoN9rY/n6aCqghS8zX0nvXclki6FWF+guGxTjxc9jxrVUXg52HQL1zn5MEOThjo7HKiU2Ud5JRpLaZy1zbC2gyN2RtN0em4AfuKTmBWzksO09lZqPLrWiur082UPUnPod4OS9M0flvnwqwNLsxLsbBih8bWXJXoAIOyWoXZm0yfMIlEImkNTt2M2q9t7Hn9hjQX74H89cP7fP9/T/Pxx6+Rk5PPJ59+R0VFZfP7bq6uPPHEPZx99mk4nU5+/XU2I0cOJSoqvBNbbXpQjZ9wOmieFOVlsHDhzyiKwumnX0ZM8ig2/D0HgICQSJyN1cyf9z1xcTFHdK68vAIGDJgEwNixo3j99WdITIxrs2tpawwBs9Zb8d1dIUxiYgiYuc5KqJ8hDaO7AYYwDcezS1V0w3yoVjcoKAjC/E0/lHA/gdoGOqJuwMYsjW35Gsf2cxzSSFgikbQ/umH+WDW6fBRIdT3MXO9CgJeBj7vAEFDXqFDToFDvUHDRBH1CDfqG6wctcOFwws4ilU3ZGv6e5j41DVDToGDRwMNFYPMShHQBr0JJ63Hq8NdmCxV1LT+wbJ4GoxN0iqoU1u6yMCreSYIsPCKRSA5AcZXC1lyNijqF5HCdxBCjTcbDHYGsateL+enjF/jz2zcB0DQLwydNJTQqsfn9zO0bSVk1j19//ZwtW7Zx992P4+HhwS+/fMqIEUM6q9kALF78N2eccRlevjZ0Rz0ICI5MYOyJF/DN24/wr39dwKeffktQWAw2XxfmzP4WLy/PIzrXa6+9z2OPvQBAcEgwa1bPPuJjdQQ7ClVWp2ucNtQhjauBukZYnaGRX64yKVmWu+6u1Nsht1wlvVClrFbF39NgfB8n3kd5j89LsVBUpeLnYXD8AGeXqHwokUi6F9mlCjsKNZy6KZR5uAi83MDHXRBhM7AeRmTr9gKVdbs0DGGKVl5uAqcB9XYFh65wTLJDPse6CULA3zs0MksOfQNoqun5FR2gMz5JLpBJJJL9KapSWJOu0T/SINJmdDtfQFnVrhdzxmV3MWDEZOpqKolJGoJfQMg+7+tOB688cCFnnHEZTqeTuL5Dqaoo4YMPvuh04WnSpLE88MBtPPfcq82v3fbsVxTmZgDwySffoCgKl9zyPK8/ejmfffYtN9xw5RGd65hjxjX/v6a6Bqeza0cSxQUZbM42IzhkdI9ZajSvXGPKQDsBUg/vtri7mGl4iSEGJdUKK3ZY+CvFypkjHPv4qtTbYVu+Rkm1Qr1dQVXMdB1VNSeE6l4/Dh1Ka1QCvQ1OGODs8pEVEomka9JUHKEt6BNq9nMOfd+IL0PAt3+7UN2gcCQG6JKOZ0ehup/opCAQ7P+w0Q0FTRWM6yPHbRKJZA9CwOYcs/pybYPCcQN6fmCBFJ56IKqm0WfQgc23NYuVW5/9kiWzvsTN3YuE/iN58voTGTAguQNbeWDuuecmduzcxQ/fz2TCKRfi7ulDZFw/PDx9cHFz5+JbniNpyDhCI+P58KNvOPHEyfTpE39Y51i2bBVTp14MgKurC1988RZ+fr7tcTlthqZCbKBBZomKiNN79WRaCNM82qoJKTr1IAK9BQOjdJZvt1Bvp7m07PYClfW7NFQVwvwMgrwFQpgTtn1+DDCEgruLINRXJ1Kaukokki6EorBf9KUQZlRMZZ2CEF0/BVECOwv3D0c4YaCTkmqF9Zn7T61cLWaV1cwSlUFROjYvKTBKJL0dRYEBkTrxwWYf0Ru8YaXw1EuxWl057gwzUqgoNwNddxIQYGt+3zAMHnnkP2RmZjNt2kkMGNCXvn0TcHFxafe2KYrC6689Q1VVNXNnf8vAUcczaPQJPP3xUlzdPFE185t51X1v8P6z13PccdN55pkHuPzy81FaOWJ7480Pm/+flbWuQ66rLQjyMUjN16ht3L/8Zm+holZhVbpGaY3KkOiuHaUmOXy25am4aKawlFOqkFWqklWqkRiiMzj64F4qEolE0t3QVAj0MkgvUgnwEtIHqBvg5QYVdXt+d3cRVDcobMxqeeZYZ1f4e4f58CqrVZiQ5CS4i5npSySSjkdV9iyy9gbkEF5CUHgswyacwq23PcTy5auJiAhh5cr1zJ27iKCwGGbONE29/f39ueuu67nxxitbLfAcKa6urnz6yetceeXtvPf0v7nmgbcYMu6kfbYJi+7DvS/9zHfvPcnttz/MbzPn8NqrzxAWFnKAo4IQgpSUbaSmbgfAy9u724hOYEaEABRXq3i59b7BaU0DzNtiwd0qmNzPQZg0jO5RmCv/YNcVfltnfi89XYU0ZZVIJD2a2CBBYZXCpmxN9nVdnJoGKK/dMwYO9DaYkORkcaoFQxx8bJwYojM8Tt8njVwikUh6C93MukrSHiiKwpX3vMpJ593EXwvW8ObbX5CRW01Mn0EU52fu2VBz5eGHn+PDD7/skHa5uLjw8cevctppJ/D+szewYt4P+23j5uHFZbe/wI2PfcjqNVsZN34q3377M4ax/8Ctqqqaa6+9k0mTTic/v4SE/iM74jLaFFcr+LobFFf1zlFLZomKEHD8AKcUnXogigKT+zmZ1NfB5H4Opg2zc/pwh5yISSSSHk1skIGPu0GDA+yOzm6N5GBszNL2KXMe4iuorlfoH3FoD6fsMrUFFyiJRCLpHciqdpID8tAV4/H20Fi44CcWLFjCffc9TXVtA431tfz88ydMmHBgH6m2xOl0ctttD/Pll99z1hX3cdJ5N+wTcWVvbGDW169TV11B5vaNZG7fSFx8LEMG98PT0wO73cGOnZmkpe3EMOD8G55kxDHTWDzzC37+5Hky0lfh4dF93NxW7TQNlk8d2vvSzJamaWgqjE2UJp0SiUQi6TmU1cDsTS5E2Awm9e19z/euTFmNwo5ClUibwcYsjYq6/dftA7wMKusVnPqBpaVgH7PKqkQikfQkZFU7yVGxbuksyopyiRw8AF9fb84881QGDEjm2OOm42sL4dxzr+HMM08hODiQ22+/DpvNv93aYrFYeOON54iMDOeFF/6DvbGe0y+7q/n9tI3L+OObN/bZp7i4kpXr03F390RRVYLCkjjxnJMZOfl0yksKeO7mU6koK8be2MgTT/yX559/uN3TB9sKNxczFam3oRuQXaqSFCZFJ4lEIpH0LHw9zEqduWUKOWUKAV4CN6s0G+8KuLsIiqpUCipUgnyMffydmiitOXQSiVMG70okkl6MTLWTtEh4TF88vX1JS9vJa6+9j91uJzExjgvOPwNNU5k49XJWbtjFhx9/x9hxU7nvvie5667HOP30S4mKGsrpp19KZWV1m7VHURQeeOBW+vSJ5/evXqO8JL/5vf4jjuWsK+/HzxYMQGCgjdGjBpK3axtOp50Lbnyay+/8L6dccBNevgF88PyNhAZ6MmhgHwDee+9TzjrrCt5880Puuusx/P37cN5517TYjnXrNnH88eewaNHyNru2w0VRTOPl3oaZXqgQG9gLL14ikUgkPQZDmKnjG7M0lqZp/LnRwo+rrbs9ghSWbLPy8xoXFqfK9eGugLsLnDrEwSlDHEQHHFo9smiCuKD9F8kaHVJFlEgkvRcpPElaJCQynqc+Wsq4ky7iiSf+y8BBx3L//U+RnZ1LSWEuJ06/jvEnXUhIZALFRcW8995nfPjhlyxZsoKamlqWLFmB2g7uicOHDwZAVfdUDlFVlZPPu4GnPlrKudc+QllZBaWl5dxyyzW4W+y8dM+5bF27GIDaqjIqy4q55pqL+enHj5vTBRctWraPf1VQkG2f8woheOedjzn++OmsW7eRsrKKNr+21qIq9ErhqbRGAQT+nr3w4iUSiUTSLamsg/QilV3FKlX15mtFVQrLt1vYkqtRWKlS09ByipaMduo6aCq4WCDIR6CwZxwS5G0QHaCTHKajIHC1CM4a4SApbH+BKsxPhjxJJJLei/R4khyS/Kw0Fvz6KdvWLaK0OJ+Rx0wjZfV8aqoqGDlyGIMGJRMWFkJERCjh4aGEhYUQGxvVLtXisrJyOHHK+Xj5h3Pbc1/j6uax3zbbN6/k109fZPvmlfj4eFNVZUZeXX7Hfxk35TzeeuxKdqb8zf/930uMHTuCkSNPpqysDEVROOfc07nv3ptJTIzb55jPPvsqL75opvMlJSWybNlvaFrLZXPbm625KltyNc4Z3bscSNdlqmzLs3DeGDualMwlEolE0g3YlK2RkmOOF4K8DQZG6eSUqugCksN1vN1gdbrGzqJ/jikEA6N0BkZKsaKrUFUPXm7w0yordl0hOkCnf4RBepFKea1CcbWKgsBqAYcTxD5W4oLThzt6Vel0iUTSO2itx5MUniSHTU76Fp65+VRmzPiQE06Y1OHn37AhhalTL8EvKJKzrryfASOPa9GfKT11LSvn/cjqhb9QW10BwI2PfUjSkHF8/N/b2bB8NjfddBXTpp0EQExMJKGhwS2e87TTLqagzElVeSGXXjSNxx+/p92u71Ck5Kik5vU+4amsRmH2JisT+jiIkul2EolEIukGlNcq/LnR2vy7v6fBsFgdX3fBrmKV1HyVenvLqyl9w3QGRelYOmedS/IPlmyzUFipYFEhLtggIUTnr01W6nen0Pm4m1YI1Q0th6qdO9ou/5YSiaTHIc3FJe2Gz24vpaqqal5//f9wdXXlX/86n5qaWubPX8qECaObBZz2MOweMmQAv//+BQ888CxvPnYlSYPHcua/7iUuefg+54tPHk588nDO+/djbFu/lPm/fISbhxeubh5c++A7zPn+Xd559yXeeOMDkvr24djJY5k8eTwTJozG19cHIQQzZvxKenomBQVFaJ4hlBblkZzcp82v6XAoqFQJ9O59wou/p8CiClbstBDk68DNeuh9JBKJRCLpTGoazIpnoX6CCH8Df09BYZXCr2utOI19x0gWVeDtLvB0BQ8XgSHg7x0WymsVgrwNRifqtIOLgaSVjE9y0mA3PZ8UBTZmac2iE4CnqyA+WGdp2p4BiqoIXCzg7SZQZbS2RCLpxciIJ8lhI4TgznP701C/p6xHbGwMlZWVlJdXoCgKVqsVf5s/L7/0BHl5BRiG4NprL23zdsyZs5DHH/8vW7duIyw6kaHjT2Xo+JOJjB+A2oonfE1VOVvXLmLbhmWkbVxGcX4WqqoyeMhAXF2srFixBhcXNyLi+pI4cCxzvn+XpUtn0r9/0j7HSUvbya+/zub2269r1xS8mgaYuc7KiHidxJDeF35fWq0wZ7MFTYXJyU6CfXufACeRSCSS7kt2qcLSNAtg+hYGeQv6hunYvESzoLE3FbUKf2w0t5+Y5CAyQD73ugqGgPIahdIaBUNAYoiBpsK6XRrpRSpjEp1E2IQUCyUSSY9GptpJ2pUV835gyawvOOWCW7AFh/PdO4+zbeNywmP6kpOxFVXT8PD0oaaqvHmf8vLt7dIWXdf5669F/PzzLGb+Ppeqyiq8fPzoM3AsSUPG0XfIeEKj+rQq+qqkIIvU9UvZtmEZVWWFnHjOvxk0+gQAnvz38eRn7+T888/EZvOjb99EkpISKCoq4corbwWgoGAzrq5tn8BfXQ9rd1nIr1Bw0eDUoQ7c295Cq1tQVgNzN1vRhbmKHGETWDWwahDia/Taz0UikUgkXY9Fi5Zz+eU3M3/hbxQ6ItlVrNBU22dcHwcxgQLdMAuHtDRMEQKKqxXmp1gQKMQH64yK13u98bgh6LKCjlOHOjv4uHd2SyQSiaT9kcKTpEMRQqA7Hdw+vR/R0eEEBtpYtWo9U875N3O+f5enn36Ak08+joaGRgYOTG63dtjtdlatWs/ixX+zcOHfrFmzHofDga8tiEGjT2TiKRcTkzT4iI792+cvs/HvP8lO39ri+xdddDZvvfXC0TS/RQorFRalWnCzQv8InagAA5deniRrCNOMtcEBJdUqDh2EUPB0FZw0yIGrTMOTSCQSSRdg164sfvppFtde9y9K6zyYt74GN08/ALxcBXYd7E7TqHpcnwMLSql5KuszLSiK4Pwxjl4tPNmdsHCrheRwnSgZASaRSCSdihSeJJ3C56/cw/K/ZmAYZhrY8WdexbyfP9ynuty5557BG288e1SRQUIInE4nVuvBFYba2jpWrFjDwoXL+W7Gb+Tn5RPTZyATT72U8VPORz3MtLgPnr+Z1Yt+xeriQnBQEKVlpXh4eHD6tCk888xDeHi4t9lgsKYBcstUtuRp+LoLjkl2SlPKAyAEVNYp/LHRyugEJ/HBvS8NUSKRSCRdixkzfmXbth089NAdza/N2aRSWtPy6lGIr8HwWB0fd0FZjUKdHcL8RPOzPyVHJaNIY9rw3lVcZG/sTpi/xUJto8Jx/Z34e0rhSSKRSDoTaS4u6RQuvf1Fzr3uMcqK86goLSAueRgxSUPISF1L3yETqK+r5qs3HmTp0pWEhATx+edvEhERdtjnueOOR5g9eyEpKYsOmkLn6enB8cdP4vjjJ/Hoo3cxZ85CPvr4a758/QFSVs/nirtfwdXNo9XnHTTmBFYv+pVffv6UsWNH4NChsEIhr0Llr60qDU4z5cuigZvV9G4I8jEI8hYHjcJpdEBlvUJVnUJlvUJJtUJ5rYqqCML8BKPipeh0MBTFFOrALFctkUgkEklnU1xcQmZmDmAukBRVKVTW73mYq4pZBU0ArhawqJBWoFJWY44BACL8DSYlOwEI8BZE+Ds7/Dq6EulFKuW1KicOdEjRSSKRSLoRMuJJ0qEU5qTzy6f/Ze2SmQAtGnUfCiEENpu5z+bNi45IuPrjj3lceeVtePkFcdHNz9J/+DGt2i83I5WnbzqZiy+eTsLg44gYfDoCBW83Qbi/gZebwKmDQ1eobYTiKpU6u2kg6uNuehEpimkpqig0l91t2F0VRUHg7Q5+HgaRNkGYv4FVCk6tYkOWxq4ilTNH9t6VYIlEIpF0DarqIb1Qo84O9XaFyjoFu77vQtnx/R37FcmwO2FeioWKuj0FUnzdDTxcwd1FMChK79VehkVVCvNSrJwwwEGQjxSeJBKJpLOREU+SLkfq+qW8+uDFAIwYMYTXXnv2sEUngNmzFzT/39vb64jacsopx7N06W/cccejvPnYFdz42Ie4uHnw0r3nceNjHzJozAkt7hcSGc+g0cfz5Zc/ELRgLU+8GEt1QQo787OIPes0+sT2/cceOjUNpgBVWqOgG+bKphDmj6JAsI/A10Pg4yHwdhNostzuEeHhImhwQnGVIgejEolEIuk0dAP+3GhFNw6ee78q3cKkZAeuFpqjolfu3CM6qYogOdygwWGOGeKDe2cBDacONQ0KBZUK6UUa7lYho50kEomkmyEjniQdRkVJAf/3/E3s3LIai8XCqaeewJNP3ktsbHTzNna7ncrKatzd3XB3d0NVVaqqqiksLKawsJjc3HxuuOFeAM4881Q+/vi1o2qTruucc85VpKUX8u9HP+Dxa48FYNJpl3LedY9gdXFrcb/3n72RzK3L8fb2Jic3H3cPT6oryzn11BN5441nsdn8afpqKYrC3l+zvX9vShPs7du2xXkaHYIfV7tiUc3S1E4DnLqCLsDXXRAVoOPl1vnX2pGfYXt+3r1925b2bek9IQSKoqAoSrP3naqak0rDMJrfa+ttm34/mm2bfu8K23bGZ9jTPu+W2tTTPu+ucM828cMqK3Zn60wf3ayCcX2cWDX4a7MFQyi4WQXDYnViAntX+rhTh7xylaxSlep6M1qsKVJMUwRBPoKhMTp+UniSSCSSLkFrI55kbIWkw/ALDOXu/37Pi1+tY/o1D7N8ZQrjx0/jrbc+or6+ga+//omBg44lKWksUVFDCQxMJiioH7GxIxgz5hTOOOOyZtFJ0zSeeur+o26Tpmk8/vg95GfvJCN1Lbc9+wUAi3//nAcuG0P61jXN23791iP88e2bAIw4ZhqlpWXs2pXJQ2/M4skPFjPt0jtYsmwtF110A4WFxYSGDuT99z8HYM6chdhsSRQUFAFw++0Pc9JJ5zUfOyFhNK+99j4Ay5atxGZLIj09E4AHHniaCROmNW87aNBknn/eFNzWr9+MzZbE5s2pADz11EsMG3Z887ZjxpzCo4/+B4Bt23ZgsyWxcuU6AP73v7dJTh7fvO1xx53N3Xc/DkB2dh42WxILFiwF4O23PyY6eljztlOnXsyNN94HQFlZOTZbErNmzQXgk0++ISBgT+TXeeddzRVX3AJAfX0DNlsSM2b8CsB33/2CzZZEY6MdgH/962bOP//a5n1ttiQ+/fRbAGbOnIPNlkR5eQUAN9xwL9OmXQKYq8s3PfgRYEaUbc12snDlLgrKnVTXK6xNN/h8TglNukBS0lheeukdAFasWIvNlsT27ekAPPLI84wbd2pzG4YOPZ6nn34ZgE2btmCzJbFhQwoAzz33KoMHH9u87fjxU3nooWcB2LlzFzZbEsuWrQLglVfeIzFxTPO2J554Lnfc8QgA+fmF2GxJzJ27GID33/+MiIg91RfPOOMyrrvuLgAqxsIWxQABAABJREFUK6uw2ZL49dc/AfjiixnNqacAF154HZdddhMADocDmy2Jb775CYAffpiJzZZEbW0dAFdddRvnnHNl877Bwf356KOvADMd1WZLoqSkDICbb76fU065sHnbmJjhvPnmhwAsXvw3NlsSWVmml8m99z7J5MlnNm/bv/9EXnzxDQBWr16PzZbE1q3bAXjssRcYNeqk5m1HjpzCE0/8F4AtW9Kw2ZJYu3YjAC+88AYDBkxq3nbSpDO4776nAMjMzMZmS2LJkhUAvPHGB8TFjWze9uSTL+CWWx4AoKioBJstiT//nA/ABx98SUjIgOZtp0+/gquvNs2Aa2pqsdmS+OmnWQB8/fWP2GxJOJ2mz8oll9zARRf9G9iTBvzll98D8MsvfxAQ0JeqqhoArrvuLs4661/N5wkPH7RPHxEQ0Le5j7jjjkc4+eTzm7dNTByzTx8RENC3uY948MFnmDjx9OZtBw8+lv/853XA7CMCAvo29xFPP/0yw4fviegcO/ZUHnvMrMa5bdsOAgL67tNH9Os3oXnb44+fzj33PAGYfURAQN99+oiYmOHN206bdgk33WT20WVl5QQE9N2njwgM3FPd9Pzzr+HKK28FzD4iIKDvPn1EQEDf5j7iiitu4YILrmveNyCg7z59REBA3+Y+4sYb7+P00y9t3jY6ehjvvvsJAPPnLyEgoC85OfkA3HXXY5xwwjnN2/btO26fPiIgoG9zH/Hoo/9h/PjTmrcdNuwEnnnmFcDsIwIC+jb3Ec8//xpDhhzXvO2ECdN4+OHnALOPCAjou08f0ef/2Tvv8Liy8v5/zr13ZjRFGkmj3iVLltzb7np7b8ACS+91CRBKKAEWSH4hNEOA0JwECIFAIEBYOizssr2v1+veZVm99y7NzL33/P44tmytZVu2JGsknc/z+JGn3Tlzy7nnfM/7ft+Kyyfee8str+GjH/0nQPURkUjlpD6ioGDdxHtf/vK38p73fAxQfUQkUjmpjzi1T37DG97DW9/6AUD1EZFI5aQ+IhKpnOgj7rrrw7z61e+c+Gx29qpJfUQkUjnRR3zwg5/iRS96w8R7S0o2TeojIpHKiT7i7rs/z/XX3znx3lWrrpnUR0QilRN9xD//81e57LLbJt576aW38rnP/Sug+ohIpHJSH7F69cnU+WuvfTmf/OQXANVHRCKVk/qIsrJLJ957++2v5+/+7tOA6iMikcpJfUROzuqJ977qVe/gXe/6KKD6iEikcqKP+PnPf8MNL/ngtEUngPG44JGDHv66z4MEKnMdXrw+vqREp2gcnjtm8rsdHp4+ajEag6ywZEW+w+XlNjeuivOKS+Ncv9JecKLTeAziNrT0Cg63GtR2GrhL59BqNBoNoFPtNPNAKJzODS97B1fc8lp+/+Ov8I//+KWJyfqma+/gle9+GfF4lHh0nHg8Sig5jWBKGs8+9Gu2PfRr1q9fw89+9h1yc7NnpT3r16/mjjtu5Tf/9QU+9KVf8Def/g7f3/K3jAz189W/fyVZeSW89aP/Su3hnfR2NHP7a9/P2stvJTkcoWDZKnIKy+lsredPP/0Gr3znp/jND7/Eli3f5Oabr+Xaa9UkYuXKSrZu3UI4rFTg17/+FfT3D0y04ctf/kdWrlQTg2XLStm6dQsZGREAXvWqO7j66pOCxec+dzfLlpUAUFSUz9atWygoUD5XL33praxdu3Livf/4jx+Z8MDKycli69YtlJaqCLPbbruekpLCifd+4hMfIBJJByA9PZWtW7dQWVkOwPXXX0V6eurEez/0oXcTCgUBCAaDbN26hdWrVwBw5ZWX8u1vf3HivX/7t+/A41FdjdfrYevWLVxyiZowXXrperZu3YJ13Dn9rrvehOM4E5/dunULmzdvAmDt2pVs3bqFQECZwb/lLa9mZGSMzgHB83UmN7/i3eQkdXD9hjRaWzt5uG4bN1RFCIWC/PWZFsxIMa60MQVs2fIPVFVVAFBWVszWrVvIzs4E4BWveDGbN5+cQP/zP398Yp8VFOSxdesWCgvzAHjJS26Z2A7Apz/9oYnzMjMzg61bt1BeXgrALbdcR35+zsR7//7v3zexT8PhFLZu3cKKFWpb1157Bf/6r5+deO8HP/guAgE/AH5/Elu3bmH9ejUJuvzyS9i6dcvEe9/73rdNrMqbpsnWrVu47DL1ezZtWsvWrVvw+VSuxjve8QZisZOeWN/85ue59FIlMK5evYKtW7dMHOc3venVE5UpAb7ylc+wZo065hUVZWzdqiL9AF7zmpdx/fUnRc3Pf/6TLF9eBkBJSRFbt24hL0/tpzvvfBGbNp0U2f7pn/6ewsJ8APLystm6dQvFxQUAvOhFN07sT4BPfvKDZGWp45aensbWrVuoqFDfc+ON10y8BvDRj76XlBQVsZucHGLr1i2sWqXEj2uu2cw3v/n5ife+//13TeyjpCQfW7duYePGNQBcdtlGtm7dgnm8Iua73/2WSVFPp56z69evZuvWLfj9qoLn29/+esbGxie+5xvf+DwbNqjt6j5i7vqIE3zta//MunXquqmqqmDr1i2kpYUBeN3r7uSWW66beK/uI3QfcaF9xKWXbkDm3Myp5Ka6lGY5jMUE1W0mI9GpRam8NJd1RTbh6dc8mRaOq4SPpHlM05MSuoYEvcOCgJdJHpadg4Jnjlo4LlTlqiivZP/p2xiJwl/2eEgPuVxe7kyyJnAluC4JWYhle61FS9/ktf7qNpe8NEla0CU1IAklKfsFjeZCiTswMi7we89e0EijmS90qp1m3uloruXA849SvHwty1ZectrrzXWH+Ok3P0Zz7SE+9KF384lPvB+fzzerbejr6+dlL3sbjc0dvOxtn+Cn37p70uuRrHw+/vXfMjzQR35pFT/91t3EY1Fe/vZPkJ6ZRzw2TlvjUTJzS/jWp99AdrqXH//o2+TkZM1qOzUnidmws86kvtskEnK5pMyZ0vPBduCv+zz4vZIbVi7takAajUajmXs6BgR1XQZBLxRlOJOEJMeFo+0G+5rM4x5QkuKIy4oCJUDMJq4LTx6xaB9QYs+L1sfnxUcyGodHD1n0jRiYQuJINTneUGwzOCY40GySkazSDQNnGd65EmraDXbWW5RlOeSmuhgGxOKChm6DyytskhJwwl3bafDcsbOv9XtMSXZYVULOSFYeVoYWojTToL7LYHeDOalQ0dVVNvlpCysyULNw0ebimgVDdkEZ2QVlU762f/vDfO/z72ZZeSkPPHDPRHTAbJOWlsrvf/8jXvqyt/L7H3+FcHomA71dALz4DX/HJde9jHB6NuF0tQJbUrke07RIz1Sr2h5vEkXlqm23v+6DfO8L72b37v3cfvuNE94PmtljcAyeOOxhPA6XltmUZblnXCms71Y+EVct16KTRqPRaOae7LAkO+xM+ZppQFWeS0WOS21blOdrLYKym9TA7ERxA/QMCXpHBLajKue6UjAcVYJXVd7s5XjFHSUqBXycUSRxJTx+2MIUcP2KONlhyUgUdtVbPHNUTUNWFTisLHDPKbQYArLDLkJIajtNajtPhjetK0oM0WlgFGo7TUwDyrMdAj4oyXSxHZu9TSaGgJX5DlkpEp9H4roQtQVH2gySPLCvycR2BPlpLpkpamwTCUkiIakjojSnMTwOu+pNoqek9koENe0m+Wl63KtJLLTwpElomo4dwLbjfPELn5xIG5gr0tPT+N1vf8Qll95KSloRQ/09uK7Ln3/+bW68865J77369jfQ2VrPY/f+hM03vpIkf3DitXVX3MqqTdfxN+/+GFlZGQwNDvHHP/5kIiVFMzN6hwWPHLTweyW3rrGnDMc/lZFxQcDHrKcuaDQajUZzoZgG5KZKhoaGOEQq6ZmCZE+UcPLM8+EiyZL0kGRwDGKO4EirgSsFuxssxuMO64unFsWmQkoYi0HviKBv2KB3RDA4JhiPM1G1L8kjyUl18Vkq1c12TohSgq5BZQ5+TWWcnFQVgRFKgmuqbAbH1H4InkcQezgAd26KMx4XjMWgY8DAMKAyd/5Nk6RUi2LDx1MpOwcFN6+2MQQsz3VJD0na+k8X/0YHoH/E4La1ccqyXB7Yp1LzTk3PS06SSowKu5hCCXpxRzAahSQPBJMkHhOGxgT13QZjMXV+rSpQKYmuBIFO51tsxB1BTqrLeFzQMXDyfMkOTz7HHBeOtBmkhyTZKVrEnEtGotDWb9A3Io7PQSSXlDk6ghEtPGkSnKtufwO7n76PV7/6nWy6ZAPvuusNvOxlt094Wcw2mZkRPvyhd/PFL34Tw7Rw3RjZ+aXYsSgAseg4vV0t5BQsIzY+yl/v+S6mYdLd3sTwYC/rr7yNyvVXcden/p0//PirxKJjtD35Z77//Z/yta/985y0eamxu8Ek4JXcvNrGM40eTAg1CJZSD7g0Go1GkziEgklcWzlA42gGTx4xAA/R0QFK8pIJem327X6ejWuWUVyQTsDr4rWmfxMTQok064ocIiGXJ4+ocCBDKL8nw+C0tDtXwmgUBkYFvSMGfcMqcupECo/PI0kPSgojLn6P8pHxWkpM6R0W9NiCuAMeEzyWxGtCeY5LQboSXV5IygUO5Xwe1ZZwAHJSpy+izTUjUSZEJ4D+ETFp7BEOSPY0CtoHBIdaTAZHVeXdE0b0D+63kBKmMkEZGhccbjM53DZ9E6u+ETjWYYBQkWlpQWU54NWzv0VDWlByRYW6Bhq7DZ6tMXGloL7LIDUo8VkqKupIm0n3kLrgM5Jd1hY6RJLlvKTeLiZcqfpUV6riAdVtJl1Dk3eqQLKm0ME/jx570yFmw6EWk4ExJWgn+1V/n5kyexGX2uNJk/BIKTnw/CM89Nvvc3j304SSk3nlK17MS196K9dcs3nW/Z5GR8fYuOkWQpEi6g7txHUdXvrmj/LiN36I//32J2lvOsbff/UeAPZtf4T/+MzbJ30+nJ7F537wBF5fEgC//q8vsPuJ33G0+ulZbedSpK1P8GyNxaXLbArSp5e73j4gePSgh9vXxhdcJRyNRqPRLH6kVJPDx545hPSkEM4spnfIYXhMYnlOzlZGh/rJz0khPSQZ6a6nvDBEQW7aWbftSvjzLhWFk5zk4HP7GXZTyUlT3zkeM7BdtUBju5DilwyOGfgsFTWVFpSkh1zSgxK/Vy/gnI3OQcHDB5TAZxqSKyts8o+PVaSE52tNjnXOr/t5cYbD5eWOPo6LlMZug+dqVbrmdPB7JaWZLmuLEkfAXQhICfubTQ61GKT4JePxkwL9CynJVNdcorOr3uTIGYTt9KBKDy+InCwKcSra40mzaBBCsPrSG1l96Y10tTXyzAO/5L4H/8D//M//EUpO5pabr+Wmm67m2muvnKgkNBMCAT+fvPsDE6Xub7jhap66/+fc9tr3cfvrPsC2h37DF99/K+uuuJ1g8ukDvkAoBceJA0p4SsvMZ3ho6LT3ac6PuAPP11mkBeV5GSZmJks8pqS202BjaeJ3/BqNRqNZWggByX6448YVx59R3iyO4zIWG2MsbnGwupn60V5SA+vpHDAYcpbRXg+pnarC21QLK44LP7hnJ0mR5XiD6QyNmwyhqmHWd73w3ZKyjCgFGSbhgE1Ai0znRc+QYHeDmpGl+JXodOKYuC48V2tS3zX/Jfcauk2CPlhTqMWnxUhRhktW2KWpx0CgolZiNvSNGAyMCqI2FKS75Ka6xGxBY49B95A+Ec4HKWFnvcnRdhOPKekfPXvYWEZILoisi0hIAhKVlDuZ3hGDbccM9japIhBZKRe2kK8jnjQLEiklrfVH2P3M/ezb9gCNNfuRUlJSWsL1113OddddybXXXj5Ruvl8sW2b669/JTm5WXz2nz/ONde8lNf97ee47o638t9f/RDPPfI7LMsiK7+UW171Xh7/8/8Sj47xhg9sobhiDaZ10uHywd98n9/995dobd2L15vgcZYJzPO1JnVdBrevjZ/T1+mF7G82ONhscnWlTZ6u8qHRaDSaBU59Uxf94z7aRtMZHIoiB6u55oqVDAyO88xz+1i2Yj0DUT+j4y52fzXXbS5HyBiHazqI+wpJTzGwew9TXV3DZde/hLpOk5GowHViZIYt5R0Tdllfor1JXsh4nAk/neIM5aXz6EGL9gGD0kyHVQUOI1FB/6igpdc47omVWDtxU6lNRc78+2Jp5peRKDxdbXHLGm1Efi6OthscaDYRQNSGlQUOK/Jc/rDDQ3GGy/C4oLV/ahEqHHBJC6rKlaWZiXvddQ4KHj9snTVirjDicNXyyQv5OuJJs6gRQpBfWkXdkV289C0fo6RyPUf2PM2RPU9x34NP86Mf/QIhBJdcsoEXv/hGbr/9Riory6ddXc6yLB577LeYplqdet3r7+TPP/smqy+7ifamYwBs2rSObdt28Pzjf6T+yC6klFTvfYayFRux4zF+999fprO1nu6OJhzHYdeu/WzevHHO9slipn9EUNNhsrHk3GbiU7Eiz6V32ODpaos7L4ljzf+io0aj0Wg0F0xJYSYABX1D/PQv9WQVruCJwx7Ag5Wxnq5+m2X5LmVZLqnBZaiVbA+FmQXH/+/QN7KczZsq8JguK/NsfnnPnyldvpaUtBL2NRoMjplEQnGKM5e2EYzjQveQoH3AoL1f0DdikOSR3LY2Dihvl65Bwdoim8pclz/v9jASTSyh6YXUdhqLTnhy3NN9yzRnp3vImKiAqcfGZ6a202BH3UnZ5LoqVSyhut3AcZkQ6A+1GOxpPF1eGRg1GBiFaNxNaOEpK0VFaz5+2GKqyCdQXnUXihaeNAuanU/+mYLSFay65Hoq1mymtaGaj371V8RjUQ7tfJx9zz3El//l3/nsZ79GcXERt99+PddeewVXXHEJaWmpZ922aZo88siTjI1FefObXsUvfv5b9j77V5KCyVx+06toqN4NwIHnH534zO9//BXWX3kb/T3tPPS7H0w8f9ddb2LVqso52ANLg44BgSkky7IvrLM2DdhYYvOnXV5a+oyJFUqNRqPRaBYyGWl+PvzGFbgujMdjeEyJx7JQQ/yzp5c7Ljx5RBlaZ6ZIrrz5pQjgYIsBQs3gOwY9SCQ54ThJ3qU1Mx2JwtF2k7pOY1K5eoCV+coseGAUnjhywtcJ6ruMhBedAPpGVFXARDc8ng7ROOxvMinNmtrEXnNmTEOSGpDEtfB0RgbHVNbFCbymJCdVsrfJ5FCLer6pR80tVuS7SGz2niI+CSQbShxGo4JjnQY760xWFTj4PKd9VUKQlya5tsqmuVelZ47HBTFbCU6F6S4VM6ggqoUnzYLm9X/7OZ598Nc89Nv/IpCcysO//wHXvvhNpGfmYVoeNl79Et75ia1U732avdse4je/f4Tvfe9/EEKwatUKLr10HVVV5VRVVVBZWU5WVgZCCKSU3H335/n+938y6ftKlq/nhpe9Y+Lx+OgwI0N97Hj8Xv76q+/g2HG8Pj8ly9dTWrWelrrDxKLjHD1ax/DwCKFQ8GLvokVB74ggNTiz6huhJAh4JQOjiT8g1Gg0Go3mfDAMCPjgTKvUU5GRrKqcxWwYjQrc4xXVNpQ4OK6D7UD/qMGzh8bo6enhXS/JxOdN0NnSHPDkEYu+kdMHHj5LUpalJl+tfSdf31W/kKZVgp31JldWLDyvp+4hQU27EgMtAyxTVVrUotP5U5AuKUjXaXZnI5QEL14fZ2hc0NBtTKQet/aevHCSPCfPvZX5LhnJcZ44bLGqwCErRU6cmyvyHbYds/jt815SA0qoyk11E67SZF6aJC9t9n1xE+xnajTnx8Gdj/OX/9uKx+MhHo9TVL6a5x/7I5dc91KO7tuGEILLbriT5Wuu4Kn7f8Hf/MP3CIRSqN77LEf2PsODj+3iJz/9NXY8BkA4HKayshzHsdmxYw9veP8XWbv5ZppqD5CSloWULv/zjY/x2vd+liR/kKRAiKRAiFtf815uftW7kdLFNC2efejX1B3eDYA/EGL3vmpecseb+dMff0JubvY87rGFic+CXnvmI6Mkj2R4fBYapNFoNBrNIsFrgdeaetJeGHGQ/fU81TJMPJ42SXh673s/zoYNq3nPe96Gbds4jjPrlYbnk6lGHX6vMtdt7jVo7RO09C3c3K6mHpOeXJeM5IUh2MRt2NtocrTDwDSgIselMjfxy9RrFjaGUOJTKEmSm6rEGMeFkaggP80lkqz8m04lK0Vy/QqbyAuuLZ8Hrqm0aeoxqO9Sfch4zKAi110SXnpaeNIsaFZdcj0A3/3uV/F6Pfz857/jt/+9hV99/3PklyynpGoT2x76DelZ+YwMDWBaHiLZhUTHH8KORfn0v92P49i0NVTT3d5IW+NRWhuq6Wg4wtv//htsvumVRMdHyS+pIj0rn7rDu+horiUWHSPJPzl6yTAMwKC59iA/2/op1q1bxdq1K/nJT+5h802v5tE//ohXvPIdPPvMny/+jlrghAOS6nZmnIOel+6yv8nCOgYbS5yzbitmMxGGPjyuTEIDPklGSOpwZI1Go9EsGdauqWTtGhgYGOQd77ibLVv+gdzcbDIy0icW03bu3Mc73vFB7r33Z5SUFM1zi2dOzOa09DqAsZjg4QOLJ+qrtc8gIznxK/6Ox6G938Dvk1xa5lAUcfHoWaxmnhgaF1xdZZMTPrNo+0LR6QRCqOqDRUvQ9kNfspoFjT940jn/jjtu5Y47bqW3t4/773+EZ57ZwbPPPseTf/kZADkFZbQ3HSW7oIzkcAaZeSUAGIbJNz75el78xg/xotd/kLbGo2x/9PdcduMrAPjeF96DEIIPfv5/KK3awMf/9TdnbdO9P/sm8ViUPXsOsGfPAVZdcgPbHv41oHyjpJTTNjmfC/pHBI48UTZzYRBKklgGjMYg5QLMxU+wusAl4LXZUWfS1m+Qm+qSE5Zkh92JXGspYV+TyZFWA0cKlufYxBxBelBS22Gw/ZjBNZX2lKWrNRqNRqNZrMTjcVpbO6iuPkZubjZf+MKnJl7Lz8/hVa96KYWF+QCzMtZ58MHHKSrKZ/nyZTPazoWwo85cEF5NM6W6zaAiJ/GjhpI8UJLApsyapUXqDAy2lzJaeNIsaNqbagAmDUrS09N4wxteyRve8EoA+vr62bZtJ//1g5/x/S3vwx8IsWzVpeQWLef+e75DIJjC5htfiT+YQnPdIVrrj7Dt4d9w9e1vID0rn5e++aOkpGVMbL+ztZ7utgbKVmwiKRA6rU2Fy1az++n7Jx73dbWSmhLgrW9+JUeqj9HX1096etpc7ZJzkhqUNHQb9A0LlmW7CyK3v29EeU8kzcIiY1mWSyQkqekw6BgwqO0UgCTFD5YhcVwYGBOszHfJSXUJeCWhJCVIBX2qNPID+y0uW+Zok3KNZhaxHbWqHY0LDEOl/nhM8JhclH7KdmB4HEZjAp+lUmp8Hl0lSTP7xB21CDQSFQxHQUpByKd8ahI5ojYjI8L99//flK/l5+fyuc/dDcCBA0d461vfz09/+h1WrKiY9vafemob//M/9/Dd734VIQSf/exXue66KycJXBeDnmFBQ3cCH4hZxHYFz9daXFVpL4lUH41GM39o4UmzoBno7QQgJyfzjO9JS0vl9ttv5Pbbb2TXrn08/PCTPPHENqp33Ed/Xz+Dg4NIebpy/dn33EgoJZVgcir+UCr+QAp9XS00HjsAQCQrj7d85F+pXHclAL1drfzuv79MQ/Vubnvt+3jg19/DdRxaG44ghOB73/sxAO9578f5xc+/h2nO36CmOMOltU+wrUZVVkieQRTRVETj0DcqMIWavPm9Fz55c6WqKlMYmT3zvXBAsqnUARxGotAxYChxywVHwtoih/z0k+eElMpktKXPwGNKcsKSmK3apgdqGs3puFKlqqh/grijBCSvJfFZylPGdmDcVuWcDzabDI2f6WKSBH3qug0HJGG/JDWo/k5HkOoegr2NFrajjD0LI5P7+5FxeOywxeDY1J2Ux5SkBSWlmQ7FGRJDC1GaCyDuwOFWk9Y+Qf+IQE7hIBTwxck+S+rGQsHn83LLLdexbFkxAL/97Z9ZsaKCqqrTRaj+/gEGB4coKirAdSUdHV0MDAySmhrmT3/6X1xXLfD86Ee/4KqrLqOiooyjR2v5wx/u573vfRvBYIBdu/YhpWTjxrW4rssXv/hNbr/9Bi69dMN5t92VsK/x/MZnqQGXwojyeWnsNqhfYKJVS5/BrjqTjaULz2hco9EsHIScasb9AgYHBwmHw3z9V/vxB5IvRrs0mmnR3lTDZ99zE7/97Y+4/vqrLmgbjuMwMDBIX98AfX399Pb209c3QH//yf/39fXT3z9IRkY6t99+A2VlxXzqU1t46qlt5BYuQ0qXjpb6CQHrE1//HZbHw5YPvgQAfzCZsZGhie+89bYb+LetXyIzMzLznTAD4g4cajHxWpLl5zC2O9RicLTdxHYgJ9VlQ4mDaahtjMcFvcOCnmFBz5AxxQRSUpzhcnn5+Q1qHBeOtBnsbbS4ZXX8jPnSc01Lr+DJaovLyx0K0t2EjoCQUlV8SfLIWRcUFxsnImxCSfPdksRjPA7HOgxcV12wpilJ8iiDfr9X/bUMsF31z3EEY3HoHjToGlJ9geNO/2LPT3MpiLj4PSrKyHVV3xJzlHA1PC4YGFX/RmNqu15Lkp0iyQq7ZIddkpMmR0ZJCc8dM6nrUhfsifYuz3EpyXTpG4HaTpOeYYEASrNc8lJdkv2SmC2I2srfrbXPoHdEYDsCy5BcUmZTkrnwxQHNxaWpR7CtxsJ+wXXh90oykl2WZbnkpC6+88pxHC699FZe97o7ufvuD3LgwBF++9t7+fjH34/P5+PWW19DQUEeP/zht864jb6+fi699Fb+8R8/ytvf/nruu+9hPvjBT7Fjx4OkpCRz110fpqOjiz/96X8BuOKKF/GRj7yX17725USj0WkZng+Mwv5mk65Bg/H4ufuugFdSmuVSnOGQ4lf3kz/t8kzrs4lKWZbDplInocc4Go0m8RgcHKK4eCMDAwOkpKSc8X1aeNIsaFzX5eOvX8dHPnQXH/vY+y76d99zzx/ZvXsfpmlSVVXOTTddy+VXvJiN172Sl731Y9z9xk3EY9GJz5Svvoyrb38DP/raR1i/fg0PP/zrefV7OkHfiKC206A82yEcOP31wTH4824vxRkOyUmSo+3maaabQkjSApJISBJJlqSHXKRUaSt9I4K9jRaXlNmUZ08vPe1ou8GOOhMQrMx3WFs0f+aXT1ebDIwKXrQ+8UvOxmz4ww4PhgHXVtkLplrNxcKV0DEgqO8yaOk1sF1BebbDJWWJb656sRgag201Jn2jBr7jUYa2qwSgc+GzJBnJkswUl1CSVNWyTPBYEtsRROMQPR4FZZng80iC3vMTSWO26rM6Bw06BpTIJaXA75WkByUpfknAJ2nrM2jtF2SlSK5cbuO14MF9Fr2nlEc3DUl+msu6IofgOQTIzkHBczUmw1GDy5bFKcvS15bm7LT3q3tr56CBYcDyHLV44bWUSGqIpZHKGYvFiEZjJCeHuO++h7n77s/z1FN/IhQKsnv3fiKRdAoL8866jbN5Ro2MjDI+Pk4kkj7p+aamVl784jfwve99jSuvvJQ//vF+Hn/8Wb761c8A8J3v/DdVVRUsX3cNTx81cdyzHwxDSArSXcqyXLLDKuJSStUfHWwxae5d+AczM9llc7mtF2Q0Gs20ma7wpFPtNAsawzAoWb6eRx556qILT4Zh8LrXvZzXve7lk57/6Efew2c/+zXWXX4Lr3jnp/jld/954rXW2v3sfOLPmJaHeNyed6PxE6QFJRtLHOq7DXqGlYHjqdFPPgsEkqwUybJsl/Jsl7Z+A8tUFd68FoT9U1d7CwckuamSkajDjlqT9n6DZdkOYb/EEGrwbZmnD77ruwxS/Cq6ICtl/iZ4cQd6hlWbFwJeCwoiLvVdJs8ds3jx+vh8NykhcCU0dJ9M6UrxS1bkOxgC9jRa5Ka55KctbSGhZwier7XoGxWoQuKS61fGJwz9HVdFQo3HBeMxcFyBaarIJ8sAr0cS8p3Nj0me4f/nh9eC7LAkO+ywplBdo12Dgs4Bg/5RQUO3wWhMEAm53Lw6TsYp62W3rrWJxqF/VBBKkgS80/ePykqRvGSDzZ92edjXZFGWdfLakhKGxpUP3WylBGsWNnsbTQ62TL4p7m6w2N0A6UGX0iwlYCwFvF4vXq9yrz5hfXCC9etXT2sbZxsrBYMBgsHTV83y83O4884XkZ+fA0BHRzfDwyMADIwK2sbzCMSW03Hk7AaSqQF1rIozThYiGYupcUp9l8HAGdJ0FyJdQwb37vKQny6pyHGI6Eq+mhcwFlNV3XyW8kBdCuK5ZnbQEU+aBc+up/7Cf37xvXznO1/h9a9/xXw3B8dxeOUr38mBIw2kRnKoPbyLDVe+iN3P3IfrOASTw+TmZPDne/933lPtpqJ3WLCvyWRzuT1h5j0WU1E0m0odynMubKDsuCp151jHVIM0dfMK+yX56S4lGS476006BgxeskELJ+fL/maD/U1q9vvyTbGEr1Yzl7gu1HcbHGhWFYry01xW5jukh06uVj+wzyLgg6srEz+ibS75697J0UCWIblzUxxrAQopjsuEsD2b2A789nkPfq/kjg3qfKluU+dXkkdy2zpt0KtR/GW3dU5B4sXrYzOq1Ko5fwbHlG/ksQ4DV579YvVZKlryVN+tuk6Dhm4VbTmVT9diQ6AiUsN+ic+jRCghYDQKI1Ex4eFnO6rfhePLClL5+gWTJLeusbV31CJgLAbPHbNo6z/ZryV5JNetsEnTlZ6XNDriSbNkWH/l7Wy+8RX87d9+gt27D/C5z31iYmVtPjBNk5e85CYef/zz9HS0ADDY285H/+WX3PfL/2D/cw/xtZ98OyFFJ4D0kGR9scORVpO8NJcUv+TxwxY+DxRGLnx11jRgea5LRY5L/6iKmHDlCRNiwcCYSsl77pjF/iZJ3IGgT9/IzgfHVSmKB5tPLk8OjasUpKVGzFYRTodbleBUkO5ydeXpgyMhoCjDZU+DSXOvoCB96e0rgFhcVXMEMIXENNVEYjQGKQtwpDBXK7BRW0V65YRP9oWGAVFbEEySWnTSTHDrWpvRKAxHBXFbIIQSu4VQkXEpflW1UTP3jMehqcegsduga2j6nYPfq+wDAEai0NZvUNdp0DO8dEI8JILBMRgcO//OzXYllbkLo3qy5txsr7XoGxFsLrdJD7pEbcHDBzzUdxmkBS8sK2AsdrJP1Cx+FuBwUqOZjBCCt/39NyiqWMcPfvBFtm3byY9/vJWiovyL2o7BwSF++MOfUVVVwd13fx5Q6XhXX72ZZ7ftIjk1gwPbH+YjH3kv11135UVt2/mS7JcUZ7p0DAi2HbOI2XDjSnsixHwmCKFS+wie+uzJyX7/iOBou8FwVHk7aaaPe3w3Zoclbf1qpDcyLmAeUxUvFjFbTQoMIWnqUf5NrlRph9dUuqSeZTVuea5Lz7DgqWqL8myXFXkOgTN40Z6o1jYeE4wf/xs9nn5mOyfPZAn4PZJVBYk96K7vgl31HqI2gCDgdXnxBhsD+ONOD3/e4+GyMoeyaXqzLXYCXgj5JDUdBp2DYpKQ2TtsMDQOydobRYMSP5P96n46k9RSzfkjpRJK2voFbf0GnRcYnTQ4JnjogMVYTCxo0/ALwRDKoy9qgzxHZNiZyAlLSjL1vWMxELehtU+wqdShdOKYSsqyHGo6DFKDkpKM08c7YzEl+kqgNPNkdWrHhR11JrWdJil+l9WFDkUR3U8udrTwpFkUCCG48eXvYNmKTXx/y3t529s+yAMP/BLrIuWIjI6O8brXvYdnn90+8VxZWQlveMMr+MlPfkVuYTmDfV1IKdm8eeNFadOF0jssePywxXhcIJDkp0tWFzqkBi7ODSE1KLl0mRacLgSPCVV5qmLXn3Z5sB3lwbPYaeg22Fl30vA+xa/O2ZJMd1pphoaAK8odDrVKDrea1LQbmIaKZDGF+msI5SUUjXPaBMY0VMU3z/F9LQQTE5WAz04oH5eBUXi+1mRwTKVIHG8xamIsefE6G+v4Yv4ta+P8cYeHxh5BWfa8NTmhEAJuWRPnUItJa5+gpdfAcVVxBSkFuxtMLitzZkWk12g000NKFZHUOagE4Y4Bg7HYzIUiV6pI7KVEcpJkQ4lKLzQNFfk6MCpo7jU41Hp+IXpFGYlz79PMDMMAEBPjgxNsLHFwXNhWY3Gsw6Uy1yEvTZ07UsLjhy36R1Xl2MMtJisLlLfmsU6D/hHBxhKbox0GzT0GRRE99l/saOFJs6goXr6Wd33qP/jq37+Cb33r+/z93//tnH9nNBrlTW9+H7v3HMAwLVzHpry8jPe97+189KP/RFIgxPV3vJxIdgEA3d09c96mC6VvRPDwQYuwX3JFhU16UOLRvcSCY2hMUJKhVpYKF3nqWG2nwXPHLIoiqvKhIcB/HobRJzAMWFWgUkGbegzijopuclyB66r/e0xJkld5GiR5VEU2JTidvj0pYdsxZfBe3+VSnuOQHpQEz2q+PTP6R+Dxwx7G4yfjKwQnq2eJ4+LZidVry5BEkl2WZTnkpXKal1PACxW5DjXtJqAHhCfweWB9icP6kpPPxW349XYPLb0m26Tg2qql7Rem0cwlJ8z8u44LTZ2DsyM0adS9o7VPFZqJHa9CGrWFip4+D/LTXB3ttEiQEkbGVRRc9AW3NsuEKyocijJcDrWYPFXtwTRUMaKxGPSPGty0Kk7AJ9lRZ7GjTg00kpMkN6+2SQ9JajuNJe1FupTQU0rNoqOkcj03v+o9/Mu/bOUtb3kNWVkZc/Zdtm1z110f4dFHnqR4+TraGo5QUFLIz3/+XT7xic9imCbjo8Pc98t/w/KoJfBNm9bNWXtmyqEWgyQPXL/S1t4TC5jMFElmyuIWCqRUotP2WpPybIdNpc6sCDpeC5bNQlqZELB5mUNBmsuBFpOnq9X17zElqQFJwKdEK79X4j8uZvm9Er+HCfPWs7H9mEFdl4lEiUuGANtV/89KcfF61D6K2YKxmPobtcFrgsQlHJDctOrc+2x9kUtDl8lYDD0wPAuWqTzpRqICy5BIOXOB8UTqrPaN0mgUYzFVpKS202RUC01zwvC4oGZ85gPAmXiCahKHjgHBkTaD1j4TQ0jqOg1a+wzWF6siLSfIT5Pkp9kMjApa+1TUYTggWV0QJ/O43cO1VTa2o9KQT9wf67sMpGSSb+KF0jeiIhQTKcpcMxktPGkWJTfdeRd/vec7PProU7z2tS+fk+9wXZe/fd/d3HvvAwB0NR/lgx94Bx/+8Ht46KHHeeSRpya9P7d4OcnhdL773R/zzW9+YU7aNBPG49Dca7Cu2NGikyZhkRL6R1XlxdY+g7Ks2ROdZhshoCAiyU+3GY+fHBQNjApGo4LeYSUK2e7kxlumxDmuGxqGEjTWF6vwdYB9TQbHOtVFesKgWAiIhFyq8s6dXui6HE8PO/dvMAxIDym/t5LMxR09d6H0DAl21JuMRA1A0thj0t5vkBVWK/65qfKMZudjUegcEti2IO5CNC4YjcFoVJ0rAR/ctjauy1VrlixSQsegoKbdpKV3aVSSW/hIMpL15D8RiTtq0W40KnCOjwVOjAcCPkgNSIoiLqMx2N1g0tRjEgm5pAVd+kYMBsYEmZaLzzP1eCAckIQDkhX5Ux9/65T5Rf+o4NkaJUXsrBeUj6v5RzSuFuNKs6Y35ojGoaXPIOCVWnRKcLTwpFmUpKRlUlBayaOPPj1nwtMXvvANfnXPHwB4+ctfxFe/+pmJSnW33noDVVUVHD58lLWX30JfVyvLVl5CRk4hUibm5K1jQJUWLtY5+ZoEREqo6TDY12QSswVJHsnVlfEFUYVOHE//83vlhHh0KnFHreSPxwRjccFIVKU42C6MRA26hgRPHLa4boXNznqTwTGDjGSXa6vsCaPO88EwTvg1TI+gjynbrVGMxuDKCpvgcUP6hm5BdbsSRpt7TUAJT9ZxrzCE8k2xXXVe84KJtEBSEHG5Mt8hK+XMopVGs9jpGFC+aX0j+iJYWAgeO+ThuhVxQrrYQsLguPDAPg9SSoQQmIaqxHrCj6lrUHAoJthVLxmPq3HW5nKbkgyXqK28vlL8ctainy1DEva7JHnVYkt9l0HfiPqOwTFBS58yKx+PCTaV2qQG1Vhpe62FZUiq8lRhGHHcpvKFVYs1iYcWnjSLluXrruaxx/4y0cHOJk899Rzf+MZ3AXjXu97MV77yT5O+w+9P4vHHf89rXvMujtTWkl2wjD/99OsIw2B8PDqrbZktRqIq0kKXNNUkIi29gh11FmVZDsUZLhnJi2dC7jHB41fRS6dXv3KJ2fDb7R4ePeQBJBuKbSrzLp5AfEnZ4k7bnCmFL6jEU5IpKcm0kRLaBwQHmk26hwSOq0bHlgEeS3lcJPtV5SjHVVUZA17J1ZW2TmtcxJyY4NV3qw4sJyzJDruYhhIxAUJJk1MsR6LQMyzwe5hIW1nMxGxVBKGxZ3GGXwtO+meqiJPFF8U1NC64b4+HFfkOFTnuBS2SaGaXQy0Gw+Nw21qH8BkKBrX1C9r7VZW6gnR3IgMiyQNJ4dnte0JJ8KL1yjTKcVUVySSPxGfBH3d5ji/cKO7f5yHkk8RsQdyBcED9nqZeE9OQmMftBlKDkkhI6syNBEV3A5pFS9W6q3j4dz+gtraBZctKZm27Ukre//5PTTxev34VX/rSt3jXu948yU/K4/HwgQ/cxWtecxftTccAKK3ayP4D1bPWltkk7JfYjsrN1tENmkSge0jQNSgwBDT3GfgsyWVLsOKh11KilBCS61fYJGlRYkEgBOSmSnJTle+F46rjaJ1hQPx0NXQPGVr8X+QcbTfYWW8R9ElMQ1LbaeIxJXFHiQ+pAZeRqCAn1SU1IOkZNmjtOx4qB6zMd1hV4Cwa4f2FdA0KnqmxGI0uDjHGEJJIsiQrWZIZdkn1S3yek6nOJ4zSDzSbNHQvrtmy7Qr2NVkcbJYUZbisK3Z0/zaPjETFRCrcmVD3rIs/zjKNyRFLm5fZPHrIQ0G6Q1Wew5FWk/5Rgd8rua3KJuBT186fdhmMRAUOsLtByRoCSWmWuyTHi4mOFp40i5aKNZvxepP42c9+w//7fx+dte12dnbT0NA48fgDH1Ai1A03XH2akXkwGJj0uO7wTrzexJw15qapVdcnj1iUZ6sqXCn++W6VZqnhShXddLjVpGfYwDIlSFVJ7JKypVspLD/isjrfPa8UOU3icLaB/glKMl0ae0w6BgU5s7yyrEkMBsdgT4NJRbbDxuPedKNRlcIybguCPonrQteQQXu/IBoXxGy4tMyhIN2lpU+wo9aiY0Asusg4V8LBZoMDzeai8HEK+11W5LsURtzTRMLxGDT2GIzHBdG4qhrXNbjwf/OZcKSgrsukb0Rw02pdvGa+iCRL6rsMugZFwkdODo6dqL4LGcmQUXm6iBR3VP/5QiSqGrEm8dBDWM2iJSkQ4oY77+Lf//2HNDe3zdp2g8EA4XDKxOOXvvQ2fvKTf+cHP/hfyssv5/HHn+Ezn/kKTz+9nd279yHEyctMCMFNN107a22ZTQyhKk6syHdp6Db4824v+xpnNjr44Q9/xtq11/HDH/5sllqpSSRm+/gOj8PDByyeqvZgGHBNVZxXXRrn1ZvjvHRj/LSUpqXE2sKLLzrp6/fikpsqSQu6PHvU4mi7gTPHA2d9fC8uUsK2GouAD9YVnyyIEPCphZ/STJesFElOqmRNocMta2yuX2Fz21qbZdkuPg+UZUluWm0zGhP8ZbeHHXUmextNmnoEp9pHLrRjOxJVff/+ZmsRiE6SFXkOt661Kck8XXQClWrb3GtwsMXkWKdJc69B1F7ov/vc9I8a/H6Hh9pOPf2cD8qylE3B09UWsQRfxyvOcNlcbrOh5MxRS5ahrADECywKAj7JxlId7ZSICDkNp+PBwUHC4TBf/9V+/IHki9EujWZWGBsd4rN/cz233nIV//m9r83edsfG6enpIy8vm1279nH7i96AEAbx2Jn9m0zT5E1vejVf/eo/JWzU0wkcFx47ZOG4cPNq+4Irhq1dex1NTa0UFuaxd+9js9tIzbwzm8e3vstgR52J14LN5TZZCb4atxTQ1+/FZyQKextNGruN4xUNVVXDoE+Sk3r2Cnnniz6+F5fuIcGD+5Xhcm7q9Pq3uKMqNr3QoHksBkdaTRp6DGwH4o7gquVxDENVrXzPuz7As4//lYL8nIQ/to3dBttrzYlUw4VMwCe5/Cz3LylVpNO+RpPhRZJKeCEsz3XYeBZBQTN3jEbhT7s8rCtyLqpX5Fzy8AGLwTHBePxkOvLaIn1+XUwGB4coLt7IwMAAKSkpZ3yflpw1ixp/IJk73vIx7vnl79m1a9/sbdefREFBLkII/u7v/hGAeCxK8fJ1ANz+uvfzN5/+Dv6Quvh++cv/4ujRZ/nWt76Q8KITqFzr0iyXnmGDnfUXHvX04Q+/h8LCPD784ffMYus0icJsHN+4Dc8cNXm2xiIvzeW2tXEtOiUI+vq9+AR9cEWFw4vWx1lb6JATdjGEqjr65BEPDx2YPYcEfXwvLvVdBn6vPGsapSuhf0TQ0G2wt9HkT7s89AyfPlT3e2F9icPLN8W5Y0McgKeqPTxx2MNT1R7e+onv8eWfbONjn/0mCVpIl7gD22pMnj5qLXjRKS3oEvRJblo19f1LSmXa/Nd9Fs8ctZa06JQacFldoEWB+SLgg4J0l9quxSMBZCRLrqiwyQm7xx8vDkFtMaIjnjSLHtdx+Md3XMGbXn8Hn//8J2d121/5yla+9KVvs+6K29jzzP1Urr+KYCiVt3z4K7Q1HuXf/t9beNMb7+QrX/mnWf3ei8WeRpMjrQav2Ry/4KgnjeZMdA8JnjlqEbXhklKHkkw9WNBozsQThy26hwQv3xTXXl8LDCnhDzs9FGe4rC+eetK9rcakqcfAfkGFs+W5DmsKnIkqaFMxOAZ9IwaRkKoeNjgmONZhUNdlUpblJJzJblu/4Plai5EFLsBkpSjD7EhIUtdlUHr8HhZ3YHBUEElWU6yWXsETR7SrdpJHcvvauC6QMc8cbjXY32Ty6s3x+W7KrOBKdb0NjcPT1Ravuix+xiIemrlhuhFP2lxcs+gxTJOylZfx7Lads7pd13X5ylf+HYA9z9wPwJHdTwHQWLOX7vYmVq1awac//aFZ/d6LiXRVCVUtOmlmm0MtakU/PSS5YaV9WiqJRqOZzOpCh7/us9jVYLJJ+1csKISAF62L455lqdc0ID9deTkdbTeQUt14x2KcVXQCSPFDiv+kcJ+RLMlIdshIlmyvVdGkBenzH/o0Hodd9Qu/eluSR3JpmU1empwYH0VCLq19gp4hA9OUpPjV/u4ZEuxq0NMtUB5DWnSafwJeVXGwf0SQGpz/fmGmGAJSg5KUgPr72CGL8hwXryXJTD5zJVnNxUf3hJolQWnlen71/T/yu9/9hZSUEFdfvXnGKW+GYdDQsJPOzi4GBoZIT08jKyuDe+99gKef3s4111zOHXfcgmUt3MvMNEjYMH3NwqWlV7Cn0WJFnsOaQkdHb2g00yAtKFlf7LCr3mJ5rkOyFmsXFN5zDAUqclw8piTgU5E09V0maUGXytwLjwQty3Jp6XN5tsZi8zKbgnQ5LwtJUkJ9t8GuepPYLJtoZyS7dA9dvJtIil9y46o4SZ4XPq9ea+iGZD8UpMuJBZaFb5g+c7ympDxbC+aJQH66S4pfsr3WnJGPa6JhCOVLW9tpcLjVQEplPp6RrCcyicLCnRFrNOdBWmYeAO94x98BcOmlG/m7v7uLZctKKSsrwufzXdB2g8EApaXFk5571avu4FWvumNmDU4QQn7JWFwQd9DlbzWzhjKAlKzI16KTRnM+ZB4fQI+MC5KT9GB6MREOnDyeBemSgvSZl50SAq6osHnqiKoWemWFTVHGxU1p7hkS7G4w6ZoDcchrSfLS5l54CvgkIZ8kPSSpzHVOE51OpTLXpbnX4ECzwb4mPc06QWWeQ+DChtqaWcY04NIym4cOeNjVYLLhlCqbCx3TUCJ+RY62bkhEdI+oWRJUrrty4v8f/Zdf8v0t7+Utb3n/xHNdXYcWdGTSXBE+HirePyLI1IbPmlkiN9XFMkx2N5gJ5z2i0SQyYzH1N+DT/bFmenhMWFfs0L7XIMl78c6b4XHlE9nUc2GrVoaQZCRLfBa0DwiCPsnAqEAi8HslHlN5We1tnLuxWyTksrHEIT00/Uix9JCkqYdJopNARbItdE+rmVDTbmIaUBhxCWoBat7JTJFsKrXZUWchXdhYunjEpwthYFRwtN3gkjI9Jp1L9ExbsyQIJqfy3v/3ffp7O3jmgXuIx8YBsCyLL37x01p0OgOpQYnHlHQMauFJM3sEfLChxGF7rUVZlqvDoDWaaZIdlpiGpL7L1OWiNdPmUItBkkeSfhH8XKJxONBiUtNu4Mrzn8lapqQi21WRRccdEcbjsK3GwnbAY7kUZ7i09hkMjs3NTDk5SVKV51CW5V7QZHw4qv4aQlKWpX5Lsl+JcYNjgrGYYDQmGI0qMapvRCz4yn7nYiwu2N1gsa9RUpzp0tRj4LhqnLkiz6EwoscBF5uKHBdD2GyvNXGPp6UtNfFJShgah8cOWYzGBMtzHVL8892qxYuebWuWDEmBEL/4/N9QXFzERz/yN7zudXdSVFQw381KaAyhVkU6Bwwo0GGrmtmjLMtley209BpkJOsJtEYzHSwTKrJdjrQZlGU52pRfc066BgWNPSaXLbPn1GTXcaG6zeBgi3leIkqKX7K20CbkV9HVeWnuaX5YI1FBe78AAYUhSVOPQc/wzNLrBBKfB3weSZIHgj5JWlD9i5xHhNNUDI4Kwn6XG1bak8y0Q0kQSpLAZJFFSugdEdS0GzR0X5hgt1BwpKC2U52IXlMSjQuq20wK0heP19BCYlm2ElefO2ZiGLCxZOmITwdbDKrbzOP2D4ruIWNSoQbN7KKFJ82SIa+kEsM0+eAH38ldd71pvpuzYMhOcdnTaBK3z11ZR6OZLkKA3yvpGRZIqSsnajTTZVWhQ0O3wa56i2uqZu4DpFm8jMVg2zGLtKBLaebcTabaBwTPHbMYnXYqmao2VZrlUpLpYhz/WGrg9KiXsRg8fthiea6KdHrumEn/6IWJTmlBl9xUSU6qS0ZIzpnHYHmOS054+hXchIBISBIpVwU3HjnoYWh8cd8Uc1Ndrqm0tc9jAlCW5SKA/c0m4YCkPHvxCy8jUTjcOrnYgSEk2eHF/9vnEz2N1CwZksMRVmy4mn/5l3+jsbGFV7/6DtasWTnfzUp48tNd9jebPH7E4rqq01dM4w509AsyUuRZDTcvBqNR6B0W2K7Aa0nCAam9BBKYTaXK9HZHnSoPr8UnjebceEyVqvr0UYvGbkFRhk5R0UzGdpQYtKfBwnHhuhVzG03S2mucVXSyTEla4HhEUUiSm+pOe7xwrMMgbkP3kOBou3VB0UApfpcNxQ65aRfnWpmJsXHAB9etiPPgfs+kSIxE5IQPV0ayJDXoEvYrw3fLUP5eNR1nDrHLSnGJO+DE0abjCUBplkvXkGB3vUl22F3UVVOlhGMdJmVZ6jrtGhT0DBuUZ2v/sfOlpaWNRx99ih//+JfTer+Q8tzF0gcHBwmHw3z9V/vxB5Jn3EiNZr7oamvgvv/7d/Zte4DhwT4+9KF38//+30cx9JLLWekaFDx6yCI1oELQLVN13CNR6BgwiNpiwstgY6kzsXp5sRiLwa56k8bTTEwluanKqyE7rCdniUhtp8Fzxyyywy4V2WpiYOrLUaM5K1LCzjqDmg6TsmyXTfPQ72oSk6YewfO1FlFbkBZ0uXK5fVEmkb3DgrpOg7G4wDIlAa+KMEoNSkK+C49qfeKwRUufgceU2A5Ipr+hjGSXZdkqUmqhXR99I4KHD1hz7v1kCnXP9Xkg2S8J+tRjIUC6ELUhZgtix6Pek46nJqaHXLLDcsqKx44Lv33eg32WtmeluLgScsIuqwt1lEkiEHfgvj0e/F7JjavsBXfNXChSQuegIByY/wX0RERKyV/+8hDf+tZ/IaUkPT1MTU09x47VnfbegYEBUlJSzrgtLTxplhyNNfvIK67k9//zVR789X/y1FP3snLl8vluVsLTMSDY12QSs1GDCXHSE6Es06WtX7C3yaQo4rK5fOaTINdVA5+pBqvRuBqU9Y0I2voNugYFlgnrix3y0lw8JsRsaB8wqGk36B0xqMpzWFvo6LDuBKStX5XbNg0whVqdn0svEo1mMeC48HS1SUufgd8LN66Mk6xNUZc09V0Gz9ZY5Ke5rCu2F7xJbnWbwc56i3DAZUWeS0ayy+FWk9rOM/sgnUinK85wCAcucoNnmZ4hwWOHLGKzLD4JIclPk5RkOuSE5azfb8di8Psd584zzE9zuaJC3+8Tic5BJXiuK3JYka8FwaXM6OgYjz/+DHfd9RFGR0fP+L5bbrmOl73sdj74wU9p4UmjOZWRoQE+9rq13PDyd5JXvJyf/9unaW7eg9+/iGNKLyJNPYKnqy3Ksl0uvYCSpK6Etj7BsQ6Ttn6BEOC1mDAajdsQd5lYRbNMSUZIUhhxKUh38U2xUiElHGkz2NNgkpkiuXaKdEFNYtA9JHjkoEVWiuTqSltHPmk006C5R/D0UQvLhFdcEtcpq4uc0Si09Rv0DAsMoaJQDKFEis5BQXGGy2XLFn7qspTQ2idID0n8L9AwonFo6DboHFQ3ieQkSWpQ+bMstoiFmK08rrqHZn5D9HslFTkOpZnuaft0NukfEdy39+wHojjDmZVFSs3ss7ve5EibwdWVNvnpOltgKSGl5Ac/+Bm/vOcPbH9u56TX3vWuN1NcXEBWVgbZ2Znk5GRRUVGGYRgMDg5RXLzxnMKT9njSLClGhwcAeOT3P+TqF72RZcvKtOg0ixRGJBtLHXbUWZRnu6SdR+nmniHBk9UWYzGVHrC+RA1IojbE4kqEskzwnBLCH0o6d/i+EFCV55IelDx22GLbMZOrlusqaolIRrLkmiqbxw9Z7G002VCij5NGcy4KIpJLbJvnaj3UdRkTvhWaxcdYDP68x4PjqDL0oNKgbAfSgpK1RQ4VOe6CF51A3bvPNOn1eWB5rsvy3MV/rnstWFXgsK1GELdVVThQUUvpQUmKX9LapywPzoTfK1mZ71CW5V6UBZ26rnN/SWaKRCCJxRzGHYtHHt/FfY/s4e13vYP0ZLjnl3/gzXduoqgob+4brJnE2mKH4ajgqWqL61bY2qpiCfH97/+Eu+/+/MTj0rJivvD5T3LLLdfh8cxc1dfCk2ZJEYuOTfz/qft/wXvf89Z5bM3iZFm2y+FWycEWY9oCT/fQSQ+pa6vs8xKspktWWLK+2GFHncnRduVhkOSR5KRKveKWQOSEJasLHfY1mizLdhZ8qohGczEoy5Y8Xye18LSIsR3YVmNhCLjjkviii+zRnJncVMmdl8QBlWLruKrIwAmBcTzmsKvBpH9EFXrxmipabGDMoDzbYV2xM6UX01xRnuOQkewyFhO09hn0jSg7hKwUl4MHDxPKqmJHrck9v3mAjOwCbr5mBRnZBVz9ojWUpg8j3HFCeeupbhqmqOjitVujMARcUWHz+GGLxw9bXFrmUDKHVTE188+RIzV861vf5+c//w0AL3vZ7Xzuc5+guLhwVr9HC0+aJYXHq8oVXHHFJTzzzPO88pUvmecWLT4MAaWZDtXtJnBu4alrUHkYpAUl166w53RwVJzh0tJrsKPuZNe3utBmdYG+oSYSlbkuB5pM2voNUvz62Gg008FrcR7l7DULiZitTLZ7RwTXVNpadFrCmAanRS0leeGKisnjrbVFMDzOvPi+JSep9EeQp0WlbS6vYHDMoalH0rp3jLLUTkozKynNzKSg26BtxEdJRoicAourNoxf/MZrAHWOXVNps73W5Nkai65Bh6p8Z1FXu1uKbN++i7vu+ghNTS0Tz122eRM/+ME3sKzZl4m08KRZUpimOuU//OH38O1vb6G8vHSeW7Q48VjKHPxsuBKOtBrsazKJJKtIp7lekfNacP1KG9sBw4BfP+dhPKYnaomGaUB6SNI7rI+NRjNdPKYkdpZ0G83CpHtIeXjZNtyw0iYj+ewRwVKCBB3Ju8QRYn5Ep+mQ4odVBS6r3nPHpOeLM1z6GkwsUxLyxhgYGMCflT5PrVxcSHn+lSUtEy4vd8hKkeysMznWaRL0SXLCLjmpLlkpckpvVU1iI6XkoYee4DWvuWvS82972+t46Utv45prNs+J6ARaeNIsMY4dfB6Ae+99gMzMCG95y2sYGBikurqWmpo6TNPgb//2HQghsG0HyzIJBhd4WZR5IOCV2K6grV+Qm3r6ILl3WLCz3qR7SFCV67KmyLmoRtInzMWX57gcbTdYke8Q9F2879ecm/Ich2eOWlTmuqSHtL+ARnMubEfg9+prZbEwURij0SQ9KLlylX3W+9TAKBxuVZGi0TjcssbWfadmwVGQ7rKzzuJYXQN9Q9kU9lq4Lvg8khX5LqkBfU6/kKYeQX2Xqjp9akTceBzG44JoXC225qW65KVJ8tLcaRfZEUJZaBRFXDoHBe0DBu39Bsc6TUD5jKUe9xpLTlJ/g0la+E40hoaGOXasnn37DvGtb/8Xx2pqJ1776U//g9tuu2HOxKZT0cKTZknR2VIHwE//99e4jsO//ut3Jl4Lp2cyOjzIli3fmnjONE22bPkH/uZv3oxYDG6dF4mCdLUi8uQRi4J0l/w0VW2mudegpsOgb8Qg5JPcuMomK2X+BhEr8h0aug221VjcsNJeFIasi4XCiORgs2RHncnNq/Wx0WjORsyGsfiZzZg1C4+6LoPdDRZVeQ5rCx2MsyzODI3DA/s82O7JjrJ7SGjhSbPgiIQkaUGXFfkOWen9rF2eQdxRBWiOtCrRwzLBY0n8HuUbVZrlTlQ/XsyMRuFou4oIK8ty8Vmq769uM+k6V9VDF+q7Teq7IS/N5ZrK8xtXeSx1f8lPdwCHkSh0DBh0Dgj6RgSN3cZE/2MISSiJSWJUil+S7JdL4jglCrW1DfzsZ7/mV7+6l4aGxtNe/5d/+aeLPr8VUspz3pUGBwcJh8N8/Vf78QeSL0a7NJo5wXUchof6+Oy7b2R0eICi8jXkFi8nO78UfzCFxpp9PPPAPad9buOm9Xzo7+7ikkvWk5WdQ8+wwDRUFRld8n1qYjZUtxs09RgMjBqYQuJIyEuVLMtxyE0QU+/2fsGjhzxcvyJOzhTRWZr5o3NA8PBBD5cts7VhskZzFp46YtLUa/CyjXECOnpzwRONw592echPd7m8/NxeiQOj8Jc93knPFUYcXcFVs+A42m6wo87EY0JhxGVD0fikalpH2gx21Z+uXgR9knBAEvJJgknH//ogmCTPaONgO6pS5EKK0JES+kYEnYMCrwU+S6W7eUxJQ7fJwRb1Yw2hxB4pYWBs8kTFa0luXzu79wop1b4cHBcMjQkGj/8bGhOMnmJpkeQ5KUZlpkjy092Lany/FIjZ8N3v38NnPv1pAsFkNl5zBzlFFdQf2c3zj/2B5ZUV/OC/vs7q1VWz9p2Dg0MUF29kYGCAlJSUM75P646aJYVhmqSkZpCRU0hjzQCNNftoazisXhQCyzS56qrNXH/9laxcuZz//M+f8thjT7Fzx27e9rYP4vEl8c1f7ccw1U3wxKpDZa5O1XohXgtWF7isLnAZGIWHD3gImJLN5XZC5YRnpkhMQ9I1ZJCTqgfpiURWWFKQ7lLdpit1aTRno31ATSz0avLiIO5A3BHkTLOMeTgAly2z2d1gTvh8SblAZtIazSnkprpcWyWJO4JndzXwzS0/5Lvf+CgpKckMjcPI+NTn9UhUMHKG4go+S4lRXvPktTUWU38Bwn6X7LBkPK6ei9kQswWOC6sLHXJTXfzeKTd90RFCeWBOFc1YkungSpVSF0k+uTAes1UEZPeQQZJHpdrN9gKFEBDwQcAnT+u3bAeGxk8Vo6Bz0OBYp8AyJEUZLuXZLmlBqaPbZ8DQOOyut2jpMwiUvYjla/9IxZrLqd79JE//9f+QUvLOd76RL3zhU/j98+MSr4comiXJi9/4Yb77uXexd+9jFBbmnfF9t9xyHf/93z9n375D7Nq1H4BMcYzL1i3DcVGpY+0GdZ0Gt62NE9LVHqYkHICbVsd5cL+HJ45Y3LQqcVKn+kcEjivITNbCRiKSHXZp6TNx3NMr+Wg0GkWKX9IzbNDQLViWrSM3FzqhJEgPurT1C0oyp/eZsiyX4gyX0ajyMUyUibJmcRGNq2rErhT4PCpyJclz/sbVZyKUBKHjFfHsMofoGz5K73iIA9VHqB1bjnncnGh0qBcnNkxqZiGOe/Yvj9qC6FmKlQyMGQyMTf3ac8fUVDnok/gsiXHcQ8kyVOSQ11L+U1kpkoxkyVgMajsNCiMuKRfZ3D3FD+uLT19A9Voc93aan8VVy1QZImnBU+9NKl2vttOkttOgttMkNeCyLNulLMvV473zxHHh4f0Gg0ND/PL7X6Zm/3O0N9XQWL2L66+/ig++5wvceuv1ZGdP84YyR2jhSbMkcew4AKHQ2Y3DPR4P7373W6d4RXWe6SGHqjyH+/d6eOaoElTO5sOwlPGYynS8b1jgSjATRHgKBySGkHQPC51ql4C09xv4LEiQ00WjSUiuqLC5d5eHQ60mZVmJI+xrLhyPxTkn1C/ENBK3kplm4XOoRVUidl8QTefzSLJTVNRQXtrZo4OicRgcU/5j5xIXli0rwUwx2NtoMhpfg3nKrLUgM4nLSh28/ji/3xZFeObWCuZsEVUA4YBLWkDS2m8cF6kgxa8XNM9G0AdrCh1WFTi09wuOdZjsqLNo7XO5osLWEbznQXPHIB2dkv/68gc4uu9ZMjMz+N///Q7XX38VgUDi3BT0IdUsSaLjowCzUrHOa6lB/0P7LQ40m6wp0ulaJ3ClCu9t6zM42mFgGXB1lZ1QKxmWCRU5LodaTEoyXB21lkAMjUFLn8Hl5VrQ1WjORigJlue6HGkzOdJmUJWnJzwLGddV1V8rc/V4QjN/SAm2q4y9azsNGnumNuOJxgWNPSaNPSCEpCjiTlmRdjwOf9ntIWoL0oMul5Q5jB5PefOaEr8X/F7lWXTCc6kk06UoQ1UgHj0u/GQku+SnWxgiDEA2B2gbW47pTyfJI3FdiDlnF20tQ04y458pA6MGA2pqQXGGS3mOy0hUpez5vUqIOrEg0NBtkH8eleUWO4Y4EZFl0zMsePSgxRNHLK6rsvU+mgbxeJyXvehO2tq7cOIxfvSjb/Oyl92ekEWxtPCkWZJEx0bweL14vbMTi56RLKnKdzncZlCZ5ywJlV5KGI0pk8O+EYP+EcFoTK3Q2o4arNgOKhzbkpRmuqwpTMx9s7rQoanX4NFDHq6pjBOeuR6pmQXa+g0MocwnNRrN2dlQ4tAxINjdYJKV4pIemu8WaS6UkaiajGfMY9VXzeJmcAwauk2GxsB2BF6PShVLC0iOdRq09RmMx0GeZ7yxlIKGbpOGbpOKbId1xc6EeHCk1SR63IOsd8Tgr/umXlESSJK8Kkre71V+qr3DBq6E8mwHQygx7MS8Om/ZRvpbPKwvsSnNdJEStteadA4arCpwONJqkB2WjMWVSF+R7WC78Ofdp88Bgj71i1cVOmQmu8QdwXPHTAbHlC2DaUhW5DkUpEsQ8Nghi7HY5H3U3m/wp50Gw6dESFmmJOCVuFIwPC64pMwmJUkSs1UqoERFdgd8ktwlHH0fCUmurbJ59KDFH3d6KMpwyU5x8XpOGql7rYVjBj/XSCn5xCc+R2NDEwANDTtJSUncQnAJOAXUaOae6PgowcDsqgvLc9TNra7ToHKRrTa7EobGxHGRSf3rHxETK0o+S+VupwcllqnCpy1TYhnHS+OGEqOC3ZnwmHDjyjhPHLZ4YL+HjSUOJZluQrd5KdA5aBBJPnNFGo1GM5kbV9n8YYeHB/d7uLrKJm8JT2AWA+7iGkpo5oDuIYHHlGdcMLMdTosa6R4SPHLQOi2Vs75rdtt2tMOktd9gc7lNVorEnmYAn0SZf79Q0AHY3TD11NVvxchPU1FFXUOCxh6DnLAkP82dsjhJ3IaCdJfm3pPiV16ay9WV9gvGfpLb1tq09gmeqra4ebU9yauoPNvhcKtJ3FHHwe+VDI6dLqjZjjLWPsHztWeagks2FDssz3WXbMp0Zork1rVxajtNGroNjrZPPoGFkAS8yoh+Y6mzZMfqtm3zD//wJX70o18A8POffy+hRSfQwpNmiRKLjuFLmt2SDn6vuokdbTcXxQ3DcaGtT928W/uMiZDkoE+JTMvzHGUWGFArUgv994aS4OY1NtuPmTx3zOJgs2RlgRag5pOBUUFuqp55aTTTxWvBtVU2Dx+0ePKwxWs2xxd837wUCSVBcpLkYItJdjix0tM1iYPrwvO1JressSeeGxyD6jYTnwc6BlQls5dtjE1UMbMdeOLw6aLTXDESFTx8wEN+mkP/6NydyGO2l98+r/ymonH121r6BL/f4SE1IImEJOnJkpyw8qDyWHBlhU1tl4HfK2npNRgYFTR2G5Rknj7uyE2VvHRjnKQXVGVeVeAyHhcc6zC4abXNsQ6DwTMYlU8Pwa4GC4RNZe7SHf+EAyqKd32xQ9RWlfmicUHUVoLk8Ligus1ACNhUuvRSkgcGhnjHOz/EIw8/AcBrXvNybr/9xnlu1bnRwpNmSZIcTqe3pxfXdTFm0Txmea7Lg/tN2voFeWkLa6XZdtREv29U0DUoaOkzsB1BasBlRb6jQrCDMiFT5WYLjwlXLndYMeJyoFkJUE092uRwPnBcGB5X1bo0Gs30yQorj5XGHpNoHJJ0dbMFhxCwudzm4QMW22pMNpc7WnzSnEZLn2A0KiYWx1wJTx2xGDgecWMaKuInyasm7k09BodOSXe7EISQSDmdz0u8pvJa8pqSUJJkNCYnDLpzU5X9QsyGriGDA82zE9p8QnQ6gSsFvSOC3hGgQ1WiSw/KiYp0SR61eLquyEEI5UM1FUJwmuh0grgDy7Jcwn41Tl6Z73CwZWa/Z3+TSShJkr/A5hKzzYn9nuQBJsaD6m+yX/J8rUVO2CU/fWnsJyklR4/W8ua3fICj1TUAvPZ1d/JvW7fMc8umh55KaZYk6VkFxONxOjq6yM3NnrXtRkKS1IBLXZdxwWVL4zb0jqjqGcPjgpGoupEahsppNoQq56oqZkiSj9/ozpaO5EoYGYeRmGA8pkKYx+On/hUMj6vwZoEkHJBU5ToUZVz8crCJQFpQcnWlTVu/4Olqiwf2ebh1TRyP7jEvGkPjAonQwpNGcwGUZCrhqX8UcrTwtCDJSJZcUWHzzFGL2GHBtVW6yILmJFJCTYdJzBEMjkFyEjxfZ54UnYTkplU26SHJkTaDvQ0mzrQEozNTlqVSwO7bcwYF5hTCfsnt61Qk1smoS5f+EcHBFoPGHoOhcYvlOQ7RM4g9c0HMFrQPnL4fBMpbqTTLIeCV52Vqva7IwXbU7yzNdHnyyMwHi3FHsKfBIjc1rqPuz8CyLJemHpfdJ/bTIuwfDx06yve+92OO1tTT0NBMV2cXsVhs4vV3v/utfOlL/zCrQRRziZ5GaZYk6Vn5ADQ1tc6q8CSEUuDb+gxa+1xyUqfvbTQ4BkfbTOq6TqS1qVWYkE+Z6UmpokBirlDV4uKC6jYlFiV5JGuLHJI86vtGY4KhMZVPPjSuRKVTy99apsTvgSSvxO9RwlWKX5IalIT953fDXczkpkpuWRPn/j2qTPlaXbHwotHYbWCZ8rSqOBqN5nTk8ctEnBL5AGph4cTqsGbhURiReCybRw96ONJmsCJ/6abeaE4Ss2F/s0nHgJpsPnzQg+DE9a4ozXJJC0p21ZscaZv5oE4gWV0wvci7JI9kQ6kzZZpvalBy5XKHdVGH1j6Dtn6DkXHlFTqTSKyZIhG09gta+w1MIckKq7FxJKTG8mf63a6Ell7j+Pjfpb7boKVvdkSAwTHBrjqTDUvYx+hsCAEbih3u22tR02GwfB5TE21HBQ2MRgVxRz1O8qqU6RT/+WeLSCn5+te/y5Yt30RKkHLybzMMk+uuv3JBiU6ghSfNEiU9Mw+A5uZWLrtsw6xu23ZUdYrHD6sVIUPI42GiqkrHibDeJI+6kY3FoGvQoH3AwOeRVOa6FGU4hJI45w3ecY/fmOpVWtipBLyqs8sOu1TkSJKTJMEkJThpYWn6pPghL92lpVewtmi+W7M0cFyo7TQozdDlhjWa6TAWg+21FkGfJO6oct0+Sy64lG/N6eSE1f27Z9gAtPC01LEdePywRffQyQHiC9PLQIkhyUlyVkQnUJHgAR+09p1dAUnySG5dE5/wlDoTQR9U5LhU5Jw8p4fHobnXYH+TOeErOh84UtDWL2jrBzBJ8kjWFzsUpE8ek3QPCXbUmeSEJasLVVXRHbWzO2g52mEyMCa4fqVN3FbeVFqEOklqULIsy2V3g0mSB4oy5r6PlFKdq93DBj1Dgu4hwcComKgAKYQqrhQ/XoBJIMlJlRRnuKedQ1Nh2zbvec/H+M1v7gUgFAoyPDwy6T1ZWRl8/z+/tqBEJ9DCk2aJ4vMHsSwPnZ2zXMIDKM1yaOu3iIRUJQ3HVatQ43H1t29E3dDG46rsrNdSUUaby22KIu55+TiYhhoM3LDSJu6oCbvjqlxoPWGfHRwXOvoNyrL1gP9icazDYDwuWKb3uUYzLQI+uGq5zc56VcYc4La1Me1Nt0jIS3Op7TQYi6lCJpqly656c5LodCbG4sdNqmeJvhHBn3d7JlVmm4rluc45RaczEUqCqjyXnLDkoQPWxMR9vhmPC56tsTCFpCjDpTLPpbbDINmvxt+WCbUdBrvqZ57OOBWdgwa7G0zGooL8dHdK8/OlzMZSB9uFp49aDI7bVGS7+M6dDXpejMegfcCgfUDQ3m9MRBem+FVUXHmOS0ZIeZmZhorGijswMi7oGhI0dBs8W2NhGZL8tDjm8GFKCjLIyEifEI+klDzyyJN87Wvf4Zlntk989wnR6Qtf+CT//d+/5NixWj7+8fcRiaTP7o+8COghiWZJcnTfNmw7zmWXbZz1bRdFJFaVzROHLfLSVMWLqVChk8xKTrIQ6AnGHNHcaxBzBGVZOs3uYtA9JNjdYFKe7ZAa1NEaGs10sUy4bJlD0CfZ12Tx3DGL61bYuqrdImBlvjMxcbm2Sle5W6q09AmOdc7PqqJETKta22x0N6lByWXLbPY3mYzGRMIIUI4U1HWZ1HWdPAZNPS5jMUGSV5KZIqf0j5oNqo9HrkWStej0QkwDLi9XgueBJpMDTSZZYWXVkORRHrijMRgeE8QcQUqSshY5W/SR7ajxaHu/EptOVGRMDbgUZ7hkh10iIXlWgctjqnM5NSipyHEZHof6LoM9tTE+85730dPRBEBaWhrLykvo7x+k5ugxsgvKSA6nMzTQi2maXHbZRr785X8gGAzyj//4ZYAFUcFuKvRUVbMkObp/G6mpqWzYsGZOtp+XJinPcTnSZlKZO3XHJgR6QpDgSAlH2w0yk5emyfrFJmbDk0cs0kOSDSVa6NNoLgRV3tvhaLvJX/da3LpWi08LHZ8HLi+3efywxcMHLDaWOqQHpT6uS4jRKKdZKiQih1tNclPljBeOCiOSwogyJ4/GoaXPmBCiEonOQYPiDIe0oOTgLFXmOxuJIsIlGkIok/fKHIfmPoPmHoPGboPxODiuwGepaCSvBU29BofbBMlJkvUlNgbKG3f0ePGl4XFBz5DAkcpDNyfVpSrPJjvszijiNJQEqwtdyiIu91+2gj/+UQlPfX19PL+9D4DK9VdxZPdTE59xHIem5jbuvvsL7N13CMMwKS0rJi8vZya7a95I/B5Mo5kDMrIL6e/vZ2RklFAoOCffURhxOdpuMjAqiCTryI2FSG2nQfeQwXUrLmLJlSXMoVaTuANXVugVfY1mJmwqdY57pZl0DAhyUvU9aKGTk6qqlD19VFVaTQ2odP6iiEuSTr9b1DiuWpSZyssJwO+VZKW4dA0a8y7MRG3B/XstMpIlG0uVIDNTfB4oy3IpzXQZGD3hv2TQPSQmFc6ZLxq6TRq6L853HeswqMx1JrIcHFdFmS0wq585I8kL5dku5adYNTju6Z65A6NKyH3i8ImQJeXHG/AqL7M1RQ45qcoKZbYF/kAgif/5n3/HdV2qq4/x9NPbeeaZ53nkkadpqtkPwLorbsWXFKC57hB93e20NLcgpcTr9fL5z31idht0EdHCk2ZJYsdjmKaJZc3NJdA7LNhZZ+IxJeGAHvAvRMZisLvBpCTTIVdP2uacmA3VbQaVue4F+0NoNEuZ4XHlQTEyrjwEe4bUaLm1TwtPi4VIsuQlG+K09wuOdZjsajDZVW+SHZYUZ7oUpLl49Mh+USElbD9m0jtyZmWhIM1lfYnDthpo7Ln4qXheU5KX5pKRoiolm4byvpnte7kQJ1OXVuS7xB3oGBA0Hq8k58yjIfnFYjwu+ONOD5W5DnlpktpOg5oOg5JMl8vLdaT4VEy1kBkOwE2rbQZGldeu33PxxTvDMKiqqiAQ8OM4Lu3tnTz55Dbe+0//xSO/+wF7nvkrmzat4xUveRWlpUUsW1bCqlVVZGZGLm5DZxF9e9IsSVrqD1O2rJSkpJndFaWEtn6VAzwwpkI0x47no6cF3QnTQc3CQkp4vtbCNFSpVs3c0zsscFxBSabe3xrNhRBKgvKkk6u8zb2CJ48IunU1tEWFIVQ6f16aTTSu0kYaugy21Vg8LyR56cqDJPcsJeA1CwMp1QJYfffUA0mfR1XPOtphcrTj4g82fZZkTaFDSeb8VKD1mFCQLilId4jZDrsbTGrnyQPrYhJ3BPubLfY3n3yuZ8gA9PjpfDAEsxKRd6Hs2LGHf/u3H/KHP9yHYZgIoTrs737uXVStWM4vfvGf3Hrr9YhFlFOthSfNkqSt4QirV1XOeDu76k2q202CPklaUBIOS/xel2CSpCBd6pKnC5TGHrV6dvXy+KxXxtBMzXBUXSxBHe2k0cwKBemSgFf5o2gWJz7PybSSkSg0dhs0dBs8ecSD15QURJQIlZWi/aAWIgdbDI60TS2kBLyS29epi/s32y9+rqUpJLetjSdMhLLXgkvLHNr6DcbmKd1QICmMKB8gwwD3eKVp24W4LRgaF+esCnghpAddrl1hz/p2NbOP67rcd98jbN36A559VlWuy8wtJpJTyNG9z5KXn8c//sOHeO1rX45pLj4RVQtPmiWHlJKW+sO85mXvnPG22gcMMlNcblqlO/zFwngcdtaZFEYcCiI6PeVikZKk9vXQmNDV7DSaWcKVYOmolyVB0Acr8l1W5CsfnIbjIlRtp0lqwGVz+ez47WjmHinhQIvB/qapp2kBn+Sq5TZjMXhg38VZHfN7JMl+SeegcbwNJIzodAIhlL9q9RnEurnGME5EI7pTVpp+utpkcGz22+a1lOhcmuXiWXxaxaJh+/Zd3P3JL7Jr555Jzw/2tlO5LJe3fv4TvOMdb5xxNk4io4UnzZKjv6edkaEBVq6cecRTUYbD/iYL20Gn1C0S9jeZuBI26apqF5W0kAQk3UNaeNJoZgvbgeSk+W6F5mITDkjWFjmsKXToHBTsrDd57JDF7Wvj2oh8AXCkbWrRSQjJlRU2Bekqgq2mw8CeJV+j7LCLaUBr3+lKdXrI5doqVVXxBPEEHSKtL3awHeYl5c5xBc/WWHgtyXVV9mmFhWbrWL2Q9gGDzkGBlFCZp9OqE43W1nb++bNf455f/n7iufz8PN7+9tdxzTWXs379Kny+xSs2nYpeB9MsOVrqDgGwevXMhKfxONS0m6T4tY/CYmFgVFUMWV3g6MH5RcZjQm6qpKbDQGrdSaOZMYNjKsUj2a8vqKWKEJAdlly/wkYC22v1evNCYGR8aoEiL1VSGDmZNmnPovgzHlfRQi8kxa/OnyQPk6rqjcdVKlmiYQgoSJ/fhsVswYP7LRq6J08OLiuzMcTc9Mcr8l0qchLwgCxhxsbG+drX/oNVq66ZEJ0KCvL59re3sHPnA3zsY+9j8+aNsyo6ufN0u4/Hp5fTr6fLmiVHS/0RgqEQhYX5M9pO16BgPC64ssLW3gmLhD0NFgEflOub97xQmevQP6pW7jQazYXT2if4824PqtC2Zqnj96pIkJY+g/4RfU4kMo6rIlheiGVI1hUrWwdXwlPVJnsaZi+qZ2BUGdSfiseUXFMZx2up7zxV6LIMEm7se7Td4K97Ldr6DHzW/AruEsG2GnPS9ZbkhVDS3LTrQLPJI4esWRUjNdPHdmDPkS7uuXcXx1qj/NdP7iMvbw1f/OI3AIhEIrzznW/kpz/9d97yltfQ3z/Iz3/+GwYGhgBlNP7HP94/sb3f/vbP7N69H4De3j5+8pN76OnpBWD37v38+td/AlR/8fvf/4Vt23axp8Hkt89Z/OhH/0d7eycAe/ce4Oc//83Edv/wh/t46qltAAwPj/CDH/wvTU2tAOzff5gf/egXE+/905/+yiOPPAnA+HiU//zPn1BX1wDAoUNH+d73fqx+u21z551vm9Z+0sKTZsnRUneIlSuWz7hKQOh4+sLQ+Cw0SjPv9AwLWvsN1hXbOoJtnsgOS8J+l33H0x01Gs2F8WyNhSHgkjKbS8r0TEQDxRGXgE+yv9k8TUTQzD+OqwTjB/dbDL0g4sljSq5faZPiV4+PdRg09ZjIORCWDSHxmJLkJMkNK22Sj39n16AgagsKj0cTlWW5CSc8NXQb9I4YHO0widrz3zhXCh4/bFHXZTAWU8/dssZmeY6DYPYHOV2DBr/f4UnYNMjFxlhM8sNfPc89T4zw6+0eDvXm46RvZntDMgNGKQChUJCf/vQ/OHz4Sf7wh/t46KEnADh2rJ73ve9uOju7APjNb+6dEKkAPvOZr/CnP/0VgObmVv7u7z5Nc3MbAPfe+wD//M9fxXbgicMWX/7yt3lydxetfYKSUDMf/ej/o7ZWCUQPPfQkn/nMVya2+2//9gN+/et7ARgYGORTn/oiR48eA+Dpp7dPeu8Pf/gzfvWrPwIwPj7OZz7zLxw8WA3Arl17+exnv4aUEsuyWLt21bT2mZDy3EkNg4ODhMNhvv6r/fgDydPasEaTqGz5wG3cdO16vvGNz1/wNgbH4InDqnO/Y0Nc+zstAg63GuxrMnnVZXFdjXAe6RwUPHLAYkW+y5pCJ+EGthrNQuCebR4iIcmNuvCF5hTquwyerbHwWZK4w0Q/q5k/XAm76kwaug1iztQ3vCsrbIoyTkZiP3rQmjIqaiYIJOkhyTVVNl5LGZyfughX12Wwv8nk1jVx/rDDw0s2JE5FuxP0DiuhZzyeeAOHy8ttSjJPHkPl42VyTZXN0XYlJM4WyUmSgnSX1YWOXkidA57eUY8bKqe1TxC3HezBRq7aWEQk5ODGR0jyB/BYAgMHKSUejyoAEIvFME0T0zRxXRfXdTFNEyEErusipZyoZOcez2M1DINTpZpTgybqugyeqzG5abXNowctLi+3560o0uDgEMXFGxkYGCAlJeWM79PJ3polhR2P0dpQw8qVr7vgbbgSHtznIeYIXrI+pkWnRUDMhiNtJtlhqUWneSYrRbKmyGFvo0XXoKAg4hKNC/pGBDmpLstzEm+VVaOZD6SE2k6DFL8kkqz6rhPPOa6gMF0LCprJlGS6mEaclj4Dr6nSc3JTXTKSdYjpfNHeLzjaMfVAMuhTx2U0dvK56jZj1kUnkLx4Q3xyIYIX3Ger2wz8Xkl9t0FZtptwohNAekhyy5o4jx+yGBhLLMVlYHTyDq3MVeOZsRgXLDoleSSOC/EXCJZD44JDrSZeS1KZ6xKz0b6ls8DQGDywo5+YuZykgXHWFVsUpdv4fQWAi7poQqd8YrLM4vWePAiGYWAYxqTHp3Lq4zNl6AyOCiSCB/crYUtFSiZ2X66FJ82SoqO5FsexWbXqwo3FHfekeVvSxaliq5ljdtab2A5sKtXRAYnAijyX1ECcgy0mextNTAGRZMmueouRqMPaQkcLvpolyVhMDS77RwQjUUF1m4FE4Pe4lGW7tPcb9AwLUvyu9qrTTElhRFIYcZASuoZUhMj6Yoe8VFdPTi8y43F4vm7yVMxnSTaWOqQGJCnHCwMcbjU42GIwGhXUnEGkmglJnnNXvxQCluc6HG5RUTqJStAHa4scnjiSWMLT4VaDtJBL0SkRKSNReObohU/F89NdMpMl22pMyrNdSjJdwgHJ/Xs9DI0LjrSZmIaKgMr1JrYgkcj09A3z+J5+4kml+PwZ+Ht389KbVmAYLvPpWnSqIA3Kyy/R0cKTZknR2VoHQEVF2QVvw2OqlYpDrUaC68qa6VDXZVDfZbJ5mU0wAVfwliJCQF6aJC/NnqhwJ4QKTd/dYFLTbpAakKwvdsgKT74KpVTrPTpyTbNYcF0YGBMMjAp2N5iMx9XkynaY8HgZixscaDYASVaK5NoqXfRCc3aEgOtX2GyvtXjumJoOhHyS0iyHqjxXp+jMMa4LT1VbjEZPXqg+S3Lr2vhpY5EV+S7PHDVp6J6bFZe8tHOL1Devthkeh83ldsJPcHNSJQI5Jx5YF4pEcKjFpCiiRLvBMajrNLmkzCHFb9M7LHj4oIWU02/zsQ6T+k5JalCJlSf6/Betj1PdZtDUY1DTYbKmMHGFwkSnrV/w8F4vDrmsyhhjXamFZa6c72YBTOo7AAK+xJ+VauFJs6QIJqcCylAtMzNywdsZHBOEknRa1kKnvV/w3DGTsixnUu69JnE4dfJcmeuSl+bS2mfQNahW6m9ZYxMOSKRU/lD7m0yyU11WF+jjqVn49I8I2voFHgsCXmUwHPJJLFNF3rb3CbbXWYzF4La1NmG/xNCCgWaa+DxwdaXNSBR6hgw6BgT7m00auw0uXeboFLw55HCbQdfg5It1Y6kz5QKYK6FneHYvbMuQVOS4ZKW4py3gTIUhmDA3T3RMAyyThDbZTvHDuuKTDVTjGDXg8XtU+rSU0NJ39uPuSGVF8FS1xaZSJQoaAqryXKry9DjoQhkeGefxvSMMkktuhkFJqI2y4qz5btYEMVsVRToV/wKIatPCk2ZJkZaZB0BLSxvl5aUXtA0pwTIlg2Mm7QOCgvTEv9A1p9M3Iniy2iInLLmkVJtYLxSSk5QAVZoJD+wzuG+PRcCnBpgxW5AWdImE9DWpWRykBtVq9lQYAvLSJVdacR464GVwFNKCF7mBmkVB0AdBn0tRBpTnuGw/ZvLgfouyLJfKXIdwYL5buLiIxuFA0+TopRX5DkWRqYWCYx0Gw+OzO0jJS3MnCR+LCceFc5fOuvicrVpvx4AgxS/ZWGKTHZYIcdxTdr9F7zREx+ZeA8s0ubx8+sd0f7PBqnztm/lC+kYEf3wmivCks75klNVFFkIkjugE0Npn4J4SHSeEJJjgkYighSfNEiMWHQeYqDBwvjguPHzAomfYoCDdJS8tAe9smnMyEoXHDlkkJ0muXG7rCIEFiNeC29fFaeg2GBwTWIYkI0WSnSL1IEqzpEgNAEiaegyKMrSIrpkZaUHJzWtUpa2DLSa1nSZpQZewX5KdKimK6DS8mdLca+AcnzQWpLusKbTPKO71Dgt2189+il3HgAEsTuFpYFRgu4nXEZ7w7JqKJA/cvDqO95SZuSHgmkqbw60mxzqMc/6m8dj5/ebGbpMkC+0HeBzHcXn24BAtIxlEImnkeupZU1w0382akqEXCNHJSSyIuYwWnjRLivamGgCqqsov6PMtfYKeYYPrVsTJTdWi00JESth+zMIQcF2VjUebVC9YTAPKss5vwNTaJxiPC4oirjYo1ywKPBYUprs09Zr86jmD61bYZKXo+5PmwjGEiiwtz3Zp6jFoHxAMjgnqa0z2NUmuXxFfMGlXiUhGskobz0x2WZF/5nuYlPB8rTkhUs0mziLWGkai892C01HRTGcW+jLP0Gf7vbChxGFVgUNDt0Fbv0qJdaYQodLOEB07Fd1D6pp+vs4iattL3tdtJAq/fKgDX7iQiuwYG8sEppGYohNAesgF1CBWICnLWhgishaeNEuKgd5OPB4PqanhC/p8e78qXa1Fp4VLa5+gfcDg6sq4ruCzxGjpFTxxREU7CmxKz1O00mgSlco8JTw5rqCx2yDJckjR6VGaGWIaUJLpUpKpHg+MKkPshw54WF3gUJDukuRBR9mdJ+EAXDuNynAdA4LekblRAxLdIHwmjMcT64T0mJLrVsRntM+9FlTkuFTkuNiO8rRsHzAYHBUMjQsCXkll3vTEh5itBM0T7GuyaOl1uWm1vSTFp7jtsrPOS2pmAcnR/VxaXjXfTTonkVNERo/JGdN0Ew0tPGmWFLmF5cTjcerqGlm2rOS8Px/0SZp61CqUHmgtPKSE3Q0W2WGXfJ0muWTYVW8yNCYmhSa/sAytRrOQSQ9JSjIcGo5XMarpMFie47C+xNVFMDSzRjgAN6602VlvsrPOZEedhd8rqchxqMh28ehZxaxS3zV3KkAoafGOgWIJVsRtTeHUpvEXimWeqPx7flEuUkL7gGBnnXVaqlbviEFrn6AwsnjPi6nYtquWHQ1+KkqyeMkGE6+V+KITQJJXVbEbjQpijqCxx1gQZvL6FqFZUrQ11WAYBtYF5tikBSVxRzAShVDSLDdOM+dIVF50VZ72QVlKlGa6hANqMHX/Xov+UYMDzSapAUm+Lg6gWQQYAi6vcNhc7jA8rsyIj7SrCKjVhc6ijm7QXFySvHDlcofRqEPPsKC932B/k0l1m8mVy3Wa52zhuOeuaDYTslISf5J6ocTtxBjgVeQ4rMp3Eia6vr1f8NjhqT1ufZYkfYkUZmlsbKahpY9w/nrqxysxaGBtURzvAvNfKMt02N9skR50qcxdGNezFp40S4bY+Bh/+fk3efObX0NxceEFbeNE/nTfiFjUq0WLFUOoEsJdQ4KyLB21tlQ4tSrY7ets9jSaHGoxaOoxyE9fGHnxGs10EAKS/bC+xMXvg70NJrWdBllhSUayJBJySQ9Jki6svoZGM0HAp1bcCyPKf+bZGotHDlisK3aozNWVsmbKSBTizlztRElxxsKYqJ4vcRta++c/X2xDsU1lgkWg5KRKCtJdmnvV/gn4JPlpym8sK0Uu6jQ7x1VG/Z2Dgse226TnbWKwR3JFhUPh5XkLsr8qiEj2N0Ne+sLpb7XwpFkydLU1MDzYzxvf+MoL3obfq8KTW/sMCiN6wroQWV/i8HytSWuvQShJkpUiWZbtkKyNUpcM64ocluc4+PTkW7OIqcx1Kc10aewxaOk1ONpucMBWK7phv0t5jnp9gS3yahKQgA+uX2mzt9Fkd4PFaMw5q5Gy5tzMZdROebZLYBZTvxKBaFxFtG+rOT2N7GIT8EmWJ2AEihCQn+7SOyK4erlNWnBxVwEej0Fdl0H7gEHXICAly3Mhv6iUiuxRqgqtBZ2KnuKXmEIuKOsQLTxplgx93a0AFBTkzmg7JZkOh1tMNpY6uiLaAqQ82yXFL+kaFAyPC2q7DKrbDa5fYZMVXjidt2Zm6NQjzVLAa6k+rzzbRUoVRdEzbNDcY7CjzmJg1OGSMiUQOK7ylHFclZ6q/Xo054MhYH2xQ8Ar2VlvkZnsLjm/mNkkLSjxmpLYLEc9BX2SdUWLSxTsGBA8elB1WJL5VxIKEzgCJS9V3QsWU1rdiXtb/4ggagvG4zASFYzFBD6PJDUgaekcIxqN4S0IcscmgWks7BuclLCnwSSSLM+rmuF8s7D3ukZzHvR1tWGaJjk5WTPaTmmmy/4mi6Ye47xLuWsSg6wUOeFDYTsODx+w2N9scmM4wRwpNRqNZpYQQnkThpJcijNcfr/Dw9C4IBoHn0eZzm6vVcPCui6XW9fYCTt50iQuFTkuXUMOT1dblGW5S9JjzHHhUIuBaaiKkxcSVTEWh/gs60MeU3JtVXzRicoHms2EEJwAkpMkqwoSV9jzeUjouYuUMDwOMVswMCYI+yUjMWjtNSjJdPFaYLtqHD88Dh0DBqMxQd+wmEixTA24XFtlMzrUy1NHvcSMNCpyJGHRTVVhaJ5/4exwpM3gSJvJzavj892U82KRdT0azZnp7WolOzsb05xZmFLQB3lpLjvqTEyDRZsnv1QYjqqbmz6OGo1mKbG+2GFbjclvn/cQSmJi2iaEpG/EoHNQkK2jQDXniRBweblDTUhyoMWkvtugIN2lJMMlO1Uu6NSW6bK7weRouxprLs+Ncb6aSNeg4Omj1qyKKT5Lct0Km3Bg1jaZEMRstb8SAb9HcsPKOF49uz4vRqJKQDrRN8QdlSKnKmVKCkKwr9HA74OiiEtKkmRHnUn/iGBFvoPjQufgSYOqoA/G44L/e6iDmOvl7S8NkBbyASXz8vvmgr4RQW6qS0bywrpH60tDs2To624jPz9nVrZ1ZYXN9lqTZ45a9A47rCt2lsRgajHS1ieQEu1HodFolhTFGS6ZyS4dAwb9o4KYDWlB5Q21q8HkiSMW64sdSjPdRW06q5l9TkT6lGa51HQY1HeZNHSb+DySkgyX5bmzW14+kegdFhOiE5y/0NY/InjskIXtzq7odNPqOCmL0MvyUOv0o50EEq8HovG5GbCXZi0+76y5xpUwMCoojLgT9iUxGzKT5URhmP4Rge1AbthlYFTQ7QhaelWkU9fh029OLX0GLX0GkaJ1LM/oJTVo0N4v8JgQSUChxpXw6EGL5bkOBdOstBx3FuaCuRaeNEuG4YEeSrIjs7Ity1QrepGQZFe9SfuAYHWB6jB0asLCItkvcaXKCQ9pzy6NRrOECPjUZOmFXLfC5vlak+drTQ40mWwocShagINczfzitWBlvsuKPJe+EUFDt0FdlzK6L85wWVu0+NLwGrpPToQ95vlVz5USth0zZ1V0ApDH27KY6BsRPHPUZHDs3Kp4it8lN1VSmesQ8KkIm2MdJtXtBvYsemj5PIknaiQaMVud5x0DBvXdBh5TUpLpTjo/vRZ4rZP7MtkvuXK5TcCn5lg7601GY9M7brW9aQwflnQPC1bkOYkpPLkqai87LKYtPAW9koAv8X7LudDCk2bJEBsfIRTKn7XtCQHLc10iIcneJpOnqj2E/S6rClwKI4lrLKiZzPC4wBBSr1JpNBrNcTwmXFHhsKrAYX+Tya4GE68lyUldeANdzfwjhDIzTg85rC50ONZhcKjVpH3A4LoVNqmBxXNenfpbzjflqq1f0Dcy++GFMVuwq97kyuULO7K7odugus1gLC4YjZ59kJ2Z7FKZ65AVlqcdh6AP1hY5VOQ4PHbIon90dvb50Jge+Efjalw9HlfnXcxWaW8jURgYEwxMsa9HogLLcEj2SxxXRUCZhvJxEkJFUGamSPY0mDT1GnhNiceUxKchGtquYGBMtaW+y6Ct3+CaKjthhNiBUXjkoAeJOK+0uaIMVZ3whF/tQkELT5olQ3RshFAoOOvbjSRLblhp0z0k2N9k8vRRi5Rml9VagEp4pIS6ToO8tKXhO6HRaDTnQ4pfCVC/fs5gX5NJTqouwKCZGR4TqvKUwf0jBz3srje5fuXiOa9yUk9GBmYkn1+UYH3X3OW0NvUYxGxnwfoP9Y8Knjl67sYnJ0lWFzoURs5t6u73wo2rbO7b45l2BM3ZcBeWBnBB2A6MxsB2BB5TMhIV9AwLlbI9Ii6oCmP3kMFDByaf+5W5Dg3dUJXnTKSIrsh3SAu5NPUYDIxO/3tGjouUQqho3kRKHX++zsJrwQ0rY+flv5YalNR2JtAPmSYLtPvRaM6f6PjcCE8nyEiWXH9cgDrQrASoSJvL+mKHzAWmSC8VugYFA2MGG0oXVlUIzbmRUqUXaEFRo5kZQqjIjdmusKVZ2vi9UJ7tsLvBJO4snlQwvxcCXnlB3pGzFXkzFRIVJXRqCtNC4ljH9PaNlMqAerqLvl4LNpXaPHHEM4PWLT6Gx1Xk0mhMMBZT4k3vsGBgVFyUCoJH2kwsQxL0qYXh/lFBW79BzD7/767Kc/BakmVZieVXKCX0DAny0iTJSef3WY+pqmcuNLTwpFkyjI/OrfB0goxkVTmkY0Cwu8HkoQMeiiIOly5zFs3AarFwpM0kOUmSrYXBRUdrn2BHvcWta+Ik6fGkRnPB1Hepycf6Yq08aWaXvDSXnfUWHf2CgsjiuQ9X5DhkhyW+87z3eEzJeZfAOw/GF3Bg2fD4ufeLaUiurrTPO9MgL00S8MoZRz3JBX4Ku1KlMx5qMRlMgLRB2xXsa5q5VNHWL7h5lYMnwVQPIWB1ocPeRpO/7PGwrsgm/zy8gpP96pxbSJk1CaT7aTRzy9joMKHQxasjmx2W3LrGZnO5TWu/wcMHrCURhrtQ6B4StPQZrMx3FlSnvdCRUq1cNfUIDrYY1HQYjMVm/3uOtJn4PVKLThrNDOgdFjxbYxH2uyzPXYDLq5qEJpSkKq4NJMAkdzZZke+SHjr/AV9J5txdY+GAS8YFtClR6Bo89zlyaZkzUQntfBBCiaBLmZ4hwV/3WmyrsRJCdJpNBkYNaucwjXUmrMx3uX2tTdAnebLaw0MHLIbHp/fZ4gxnwYmdCab9aTRzw/BAL7Ho+EWJeDoVIaA00yU5SfLgfg8tvYLCRbSqt5BxXFVat6XPIDPFJXSeYa6aC6O63WBXvbr1eEyJ7cDzWERCLvnpLgXp7oxLPveNCDoHDa5crlMoNZqZsK/JQKB8UHTaqmYuCPhmHmmyWJirdFbTkFxZYWMt4Kj7ogyX2s7Tf4BpSFbkO+SlygsS+06Qn+ZS0zGzHbQQR/e2A/ubTI60GRclhW6+GDwPT6iLTWpQWbW09Quer7V4cL+H61bYpJ1DRJ3pWHk+0MKTZknwk29+nEgkwg03XD0v35+RLEnxSzoGDAojOl0hEcgOq/Ks22st7t3lIS9NsqrAmdHARXNuXBcsQ3LHxjg+S5XWbe03aOk1ONBssrfRIjlJUpblsCzbvSAj1MOtBgGfnHZZWo1GMzWWobxhHjpgcfs6LT5pZp+Al3NWKFsKjMXgYPPcKEOrCpzzMi5ORC5b5lAUcantNGjtM7BdAUguL7dnZUE3KyyxDHl8uxfIAhlyjMehf0TQOyI40mYSjS/+669vJPF/Y26q5JbVcR47bPH4YYuXrI8vaLF4KrTwpFn0NFTvZe+2B/ne975Gfn7uvLVDlf6ct6/XTEFhRJKbGqe+26C6zeSBfRYrC1xWF+j0u7nCa6m8fa+lIgJ9HhUVWJrpYjvQMSho6lEVtA60mCzLUsdjurn5vcOCxm6DDSWOniRrNDPkqkqH2k6X545Z7G00WF+8tNNRNLOP3yvpGtKd9Z5Gc2aix1kYWiSpUzmpkpxUB8d1GImC14Qk7+xs2zQgM0XS1n/h+2oswQUcKaG5V7Czzkr4ts420QswJZ8Pkrxw1XKbP+/2cKjVZE3h4po4JmbCo0Yzi/z1nv+gbFkpr3rVHfPajsxkSWOPweFWg54hsSCrESxGLBPKs11uXxtnZb7LgWaT9oGFcYNaiMRsFRo/VV66ZUJ+muTycoeXboyzPMelpsPgYMv0lnx6hwVPH7UIByTlOfoC02hmg7IsSUaypLrNxF5cY2BNAhDwySUf8TQahYY59KBp6DYYjc7Z5i86pqHSjGZLdDpBJHlm44bxBM/u315r8lS1Z8mITiGfJD3okpfmsqFk4Tjrh5KgMOLOSARNVHTEk2ZRMzTQw55nH2DLlk9hmvMbr7i2yGE0pla1pBQIISlIV9EcCz0EejFgGKq6RFu/4LljFjevjhP0zXerFh/NvQY5YXnOkrZ+r7pm4g5Utxlkh11yUs8ex/7cMXWNX7lcpwRpNLPJ+mKHB/db3L/X4pY19gWlwGo0UxHwQtwRxB2WbOXfvpG5LVHvSpVStaFEK8dnIyN5ZrlyvgTuF3uHBXUJarA9m/gsSWWeQ3GGu6DH8DFb4C7C9dPFfwZqljRP3/9/OI7N3Xd/np07985rWwwDrlzu8OrL4tyyJs76YoeeYYO/7PHQs8TCzB1X+RkkWuqhEHBNlSrF+9B+z4LICV9ItPQJeoYNCiPTv5uuL3bICkseO2yxv8k4641YCDXo8C7RyYtGM1dkJEsuLXMYHhf8foeHmnY9fNTMDkGfmuwPJLD571zT0D3319OxDoPYwgn6mBciIYmYgVFTJEE9Qsdj8FS1hZSL9xoTQrIq3+GOjSp7YSGLTuMxaOs3FmUl2QTWZjWamdFSf4Tf/ehfJh6npobnsTUnMQ11c4qEJOXZLs29xpIxtJYS/rLHM6lUa8ArWV3oUJaVGB2s3ws3r4rzxBGLB/dbrC92WJblYuh51ozoGxE8U22Rn+ZSnDH9Y20acE2lzYEWkwPNJi19BpeX21NGCW4ocXj8sMUfdnq4ebW9ZK4rjeZisCzbJT3k8shBD8/XWRxpd7mu0ia0ACvraBKHSLIk6JM8d8zikjKbzGS5pDwWu4cEjT1zv1piu4LDrSZrixJsxS+B8JiqwtiFLDoK5HmNbS4WcQceO2wxMovprF5LEvBKAl7l0WaZYAi1wG4IFdEetwWjMRiNCUaj6v/OHHmYWYaqCjfTiLVEIXpcIA4lLY7fcypaeNIsWn727bvJycnmVa96CR/72PsSRng6FdMgIW9Uc4UQkJniMjh2cpA1GhPsbTQpznDPmX51sQj44KZVNjvrTXbUmRxuNclMdimMuOTrSmnnTXOvYFuNRbJfckWFfd6TCsOANYUO+Wku22pMnq+12FByegXCrBTJHevj/GGnh/YBoYUnjWaWSQvCnZfE2ddocrjV4E+7PRRnuFy2zEmY/luzsDAEXLcizlPVFg8f8HBFhb2kxkV7Gi9eiO6RVoNl2c6CjgaZazJCkr6R8//c6kKH1GBijTmkhKerLfpGLrxzTk6SpIdc0o8vmKcG5AVVWpNSeXwOjgk6BwVt/QbdQxferhS/JCvFJSNZkhpU7VoshJLAFJLWXoPkJIfeYVWQJzNl4f9GLTxpFiU9Hc3UHt7F97//dV796pfOd3OWLM09gn3NJvlpkor/z959h8dRXQ8f/96Z2SZp1XuXZRV3G4MxxsaAaSkkJAFCKimkN0I66YX0XwIJaZD6koQkQAiEEjoYjME27rZsy5YlWb331e7OzH3/GFvGuMm2pC26n+fxY1ta7d7V7s7ce+bcc3ItfG5YWGzROyzoGdJI9Eiq8y1GQ4KQ6WQbRQtDd9r3Vuba7GnT6B0W1O92Ma/IZE7h9JkUnwlbwrZGnZoWncJ0myXl5hm1hk1Pklwy1+SZGqfV7CVzwyR5D39/JAibGnRsKShIi/0TtKJEI03AghKLqnyLtbUGDV0azT0aF1SHyY6+6ztKDEj2wRXzTR58xSk9UJIZ6RFNDdOCzoGpS++ypGBzg875lSrr6XgykyW17eO/vdclWVRqRW2w9FQu9GlCkuAKERzq5dy5aWQlCzyuiRuHxwVZLklWsmROoU3HgGBfu8ZwUKBrkJboZFIZOhi6BCkwbac8h2nBaFjQPyKYV2SRcQbZTWHTufAfrTsZdA1mZNvsatXZ1epMmgWSC6pN8mJ8bqsCT0pc2vzi/3B7PFx22YWRHsq01tyr0T+i0T8C7f2CS+eZuAy4ZI5J95CTkRLtV8lTEyVLyi2kdIIaNc06ealSZdOcRM+QYEOdTu+wYEGxSXW+PSHbJ1wGXFBt8uR2F09sc1GU4WTKdQwIeocFHgPOnWmSEkdXvxQlGnldcNFsk5ZewZo9Bs/sdHHFgrBqlqGclpZeQSAsKEiPzgX8ZHC6u07tvsID3TqdA3ZcZE9MhpyU8b3/kn02lXlO6YBoLYovBJxfadIzJOgZFnQPOnU2Tdt574VNkAhyUmwqci1yUyT/engTWtZSspKG8bgmKOp0HNnJkuzkEwVBJ/49GgzDun0GLb0CQwe34XTWTE+UlGXZUZO1tniGxYwcm6FRJyC3vs5gc4NOXlpsF2pTgSclLm1e8wgXXXQ+ycn+SA9lWltYYuExoD8gjqgroGmxlzIqBMwpsOgaEDy1w2BJefRe4YqksAnbDujUtmkk+ySr5k78vnuvCy6dG6a+U6O2TccGsv02M3Oc7ZCq45aiTJ38NMnKapOndxo8usVFQZrNwlILv/fkP6soh7T0aaT4bHJSYmtucCZchtMQI2hObfCppkUnKzm2F7CTxeuCtET7hNvTKnItFpbExvZi/eB8OytZQh7A4bm4dTCb6NVzpkVnLWTrAYlnolKdoozH5TQRGgxAY7eGBHQBXvfhRgfRIi1RkpZ4+N9NwRh4w52Emp4rcaevq429O1/hc5/6caSHMu15XLAwjtr3elxw8RyT9XU6a2sNDnTbLCo1Vb0EnKtnB7o1NtbrmJazFacyd/KKsntcUJVvU5Wvgn+KEmnZKZLXLwyzoc6guVejuVcnwS0pTLeYlW/jU8dI5SSGRgX+aVioXotAIfWWXsFwEDV3OY7clGPXefK4JHMLLWbmTEwGd6TpGkcFz7xug5QESSAwis8Xv1cP/D5iqmyGLSNzrJhoKvCkxJ1NLz6K4XJxxRUXR3ooShwydFg606IgTbKxXufRzS7mFllU5EZPcfSpNhyE9fsM2vo1CtJszipTwThFmW6SfU5gPmw5RYz3tuvsadPpGNDITpHMyreiqo6fokSDJK8kEJ7qFaVgX7vqcHc8JZk2u1o1pBRoQpKbKilMtynOsM+oTmUsKMu2ufveJ2jYW8Sq5dVO8W5VuiDipO3U4Ip1KvCkxBXbtnnpiXtYuXJZVHaxU+KDEFCcaZObarPtgM7mBp2dzU4B7ZGgIGg6bWN9bklagiTlYMeNJK90Ws4K5+pF56CgrU8jEHLSu2cXWBNWyHGq9Aw59V08hmRFVVh1/VOUac6lw9wim7lFNiNB2N+psatFZ1+bRnmOzawCFYBSjpbglvSPxMEl/VMUqTNmfZemAk/HEQ6HKEzTKMmyyU05vS5usUwMN7BoRhk+l4yLYEc8MO1TKxQfrVTgSYkrLz91H437dvC72/8R6aEo04DbgMVlFhW5FnUdOk3dGn6f03JWE5LhoOBAj8au1uOfLbwuid8raekVdA4KZhdYpCZIfO6jU6CjTceA4PldBsk+p9tGrAXNFEWZXAkeZztDRa7NnlaN3a06+9pVAEo5WkqCpLFLw7SYVgv9JeUmj2ye+g/CSFAwGnJq2yhHeuDxzXiyF7OkHIxon4hNgq984QP0jwjW75XQ+TyXrFoR6SEdl5THDsgEw8TNnNSWjO0oiHUq8KTElTWP3c2ll13I0qWLIz0UZRpJ9jmF1BeWHPvqYdh0CqwPBwW2dE6UUkJ6kpMJJYTTUvmV/Tov7HbOlEJIyrNtFpZYUTkJb+kVrNltkOGXrKg2o7ari6Iokec2nCyoyjybPW0au1t09h4KQOVbJLxqa66UEAg5NX+Ggs5x07KcybctnWK4tjzYjcgtSfA4xYCTp2F9oHiSn2azucGgfUBQEOMtw0+F3wsuXRK2pj6doWdYkO+ePr/r8cotncfgUB8uIz3SQ4mYBI/k+Sf/y8hAV0QCT6blXHw9WZZPbZtGRe7hmltdg4JMv6RnWGDZUBgHWfjt/YJASFCWpQJPihI1ejpb2LfzFb7w6Z9GeiiKcgSXAZl+ecLublnJksvnmwyNwnBQ0NbvbE8pzbInvCvcmWrsEqzda5CfKllWaUZ9ZpaiKNHBbcDcQpvK3MMBqNo2jdQESU6KJCVBsrdNo+dVHaV8LmeriyYkmsbYduW+YRgJaYQtgUBSkWerOlIxzO+F1ASb3S06BTHeMvxUCAHFGTb7Oqb+6o0T7Iqu+UWk2TaMSj8LqhKA2FzoSwkjIacUQu+w07kt0SMJm878cmjUCeiPhp3bCwEeA/w+SbJPMjBi0z5gMOu8t5FkDEXkOdR1aGQlS9ISj3x/NvcI8tPkWKCpe0iQN8pYY4L+EYHbkOSlSpq6BXtaNWbm2jFdmLu+U8PvlaQnxf5nVQWelLjR29EMgMejZp1KbBLCOXn6fZKUBIs9rRpNPRqZ/uiowyAl7GjSqOvQKc+2OavUmrSudYqixK9XB6CaezTaBwSN3RqBVkFGks35lWGSfZIk78m3HIdM2Neusb1Jp7ZVIzdVUnKwBp83TrZaTAdCwLwii+d3u9jWqDO7MDba1U+EhaUWDV0apj21q2MZ++vYCbdlVwumXUqqNwhE9wFEShgchc4BjYGAYCTkbKEcGhUEzVN7L4VMGBwVtPQCHA6CpiYnAFMbCB4MODVQK3KPDvwFQoLuIcYuyA4GBH0jAr/P+X9plk1dh0ayz6YwQzIQkAwGBCkxWiA9bEJTj8acQkvVeFKUaDJj9tnMW7KKL37xu1xwwVLS09MiPSRFOW0+N8wtstjaaKAJmFVgRXQ7W8iEl/caNPcK5hVZzC6Ij3bCiqJEjttwuiiVZYOU1lhdjlM5trgNmFVgU55j09itUd+p8dJeZ3qblugUB85PczJH1TEruuWnSWYXWOxs0Wjs1ijPschOlqQmypjOWDgZQ3PqWplTnGCja7G5GJ9MtU2jjOpDZCZHd9SzqVuwudFgaHRyPhhel01Vnn3M4M9k29Omc275sQMtPo+kruPwBdmsZEnXoEZRhvN/XeOILWnOFuzYfZ83dmtYNpRmxmb23WupwJMSN4QQvPNTP+B7H7+ML3/5Fu64Q225U2LbrHwbMNnaqLO71SksWJplk5s6cZNwKaGpR9A/IhgICJK84PdKdM2ZlArhFDVs7HJOfhdUm+RPo/obiqJMDSHOrNCx24CZOTYzc2wCIee41dYnqOvUqGnRyUiymVtokZuqAlDRSgiYX2xRnGmztUFn2wEdyxa4dMmMbJt5RdFZ8/BMDY3CaHjq35TTfVuqlNDa58x9SjNtdA2M1Coq/QHcruhcIg+Nws5mnbpJ3JpZmG6zpNzEHaFfQWmWfdzPeXqiZG2txlmlzrFgbqHFUzsMLPtwdmw8HSNa+zSy/PKIOoixLDo/VYpymlIzcnjTe7/AP379NW6++dOUlhZHekhn5FAhVWMcBfaU+CMEzC6wKcm0aejSqO/UWb1Lx6VLsvySrGSb7IN74E9ny1sgBBvqDJp7NfJSbUzLSW9O9DhXkA7xuiTFGTaVeRZJ3gl8goqiKJPA53auepdlOZlUbX2C7U06z+1yMb/YZHZBfFw9jlepCZILZplYtlPDpbVXY0+rRnOvxoqqMCkJkR7hxJqsrJWTSfRM74tIWxp1drU4UYqhQICaPc140spZOGPilsdSOu/h3mEnwDUcFJiWk91mWSAReFwSr0vidTmvSabfmde9dqtp54Dg2Z0Glpy890tRhsV5FVZEMwwzjlHLqHNAkJXsdHxOdMux7peugxmv2xp1FpZGR1mKiSKlUyx9Rnb8nK9U4EmJO0svuZoH/vxD7rnnQb7whU9GejinZH+nRlmWTe+wYGO9TueAc9bJSrZZVmFO+6tT01WixwlAzcp33hutfYKOAaemiWULDE2S4ZdkJkkSvZIEjyTxYLcnXXNOXiHT+RMIC7oGBR39Gp2DApcO51eGKco4fKI/FPA89MfnJq63OSiKEr+EgLw0SW6qyeYGnR0HdJI8UJShtgtHO12D7GRJdrJFWbbFsztd1DTrLK2IrwXmqdbjmQiJHjmt55TBMAy/KuC3r01D+gooTGglwZN5xvcvJTR0aexs1hgInOTKYODo118TTvApPckp+O33SkZCggUlFiHTyZALW87foyHoP9ljnIRAMqvAZk5hZINOxzIQgKGgIOvglrnMZAmvGmNxhk3/iE5dhxZXQZrhoPP6Zvrj5zmpwJMSd9weL26PFxFjM8r2fsHWBp3BgKCmWcPvg8VlJpqAbQd0HtnsIjtZkpNik5UsSfRIXLrKhJpOhID0JGciMgcb24beYUHHgKBzQGNfh3ZUur7TphlefZY2NElWsmRuocWMbBvPa+pnagI0nYjWlFIURZlIh4pXDwcFL9Ya+Oqd2kEVuZbaPhwDkn1OPbDdrRrDQYvEONl6Ahw8R0+teFrMno4X9hhjF3cBMpJdFPj7qCo586DTQMDJJu8YOP1gkC0F3UNOIe3jcelO8NDrkvhMSeA0tmsamqQ0y6Yi14rKTMKhUXhym4srF4fHvuYxjiyMf2iLbueAMx/OTo6P43nfiPN6vrazXyxTgScl7kgpGezvJTU1NdJDGbdACF7YbWBaTtbT7EKLOQX22PapgjSbve0a7QMamxt07INptromSXCDzy0P/oEEtxOYOFaarhJfNA0y/E6206yDW0csm7HOJiMH2+W6DPAYErfhnLCTfae3NU9RFCWWGTosrzJp7xe09Wu09wvW7DG4dK5JahxN7uNVRa5FfafGczUGK2eZcRN8ikR3uaKM6Rt4CoY5IugE0DWk0TWUzvZ2SYpPMqvAOiITfDxMC2qadWpatLF5+mQKW4JwAAaOkTF1MpqQVObazCqwjrr4GE3qOnTOqzSPuBB66IKq7zW3zUqWjASndHiTyrSc1zWeLgKrwJMSd4KBYSzLJC0tJdJDGTePATkpkqYeQSDktEJ9dRqp1w1zi2zm4tTh6R12bjcSclqLBkIwHHS2UAVCzpUSXZPkp0rOr5raNqhKZOka+A8WCI/lTh6KoiiTJSdFkpNiYVrwxHaDl/fpXD5fnSujndcFK2eFeXqHi0c2u5hdYDEr31YXUk6RW5fkpU7f+UHtgQHg2JlNli3oGRZ0DsixTmnjEQjBMzuNk2+riwIZSTbnzjQPdnyLboc6kr5aSaZ93NltvBThhkNdLuMriUAFnpS4EwoGAPB6Y+foo2nOVdiBADy6xUVDl05F7tEHW3Cu2GYlHz+oYEsnMNU5ILCn77xCURRFUU7I0KEqz2bdPn2sWK0S3ZJ98PqFYXY06Wxv0ukZ0lhWacbV4myyVeTZ0/L3FbbgqTV72NXuI7fwxFvqjjX/Pp5gGJ7e4WIwQkXixyvR42Ryzci2o66O0/Ec63WIp+DSifQNCxLc8VVSRQWelLiTlJKB2+2loaEp0kM5Zck+qMix2NNmUNumkek/9Y3/mnA6QhyrK4SiKIqiKIelJEhA0B8Q6rwZI9wGLCq1yEmxeX6XQV2HRkVu7G4dm8ogkEuXVObGV3H2k3niydXUNOuce/4FlM2sIBTawcKKUSzbIGhCyBQEzYPNVFxOlk3WOOsEDY1CY7cW1UGnlASb2QU2RRmxE3Ca7mwJB7qdhlPxRAWelLijaRql1Qt59rkX+fjH3x/p4Zyys8pseoZtOgcFw6OQqNrXK4qiKMqkSPFJBJLuQRV4ijX5aZKcFMnOZp2sZElqQmy+fgmeqRv3guLorukzGZoH09i95VE+ff35gKAqf+7B75z6ot6ynRb3Q6NO8e+QKejoj75ojhCSwnSbmTk22ckyrrJmpoO6Do2gKShRgSdFiX7zlqziobt+yvDwCImJUdim4SSWV5r85xU3+zs15hbF10FHURRFUaKFoUNhumRPq87MXJUREGvOnWnyXI3B41sNKnJtZkd5seRjcWoyTr6cFJvynOk1pxwMwIxZi7j+qrknv/FxSAlt/YJ97TptfQLTjt6DhM8lKc+xKM+x8bkjPRrldPQMCTbu1ynPseKqox3ANNzhq0wH85ZcQjAY5JlnXoj0UMala1CwtlbngVdcvLhH5/ndBpqQqsWzouDUZejoFxHp/KMoSvybVWAxFBTUd6ppcazxuWHVXJPZBRb72jUe3uyiPQozUE4kyQvFp1DI+nQkeiTLKsxpl/nyxEtNeLUg4jSeuGVDbZvGI5tdPFfjoqlHi9qgU06KzfmVYa48K8zcookNOvUOC9bt03lim1MGxJpescspt26fTmqC5KzS+NsSqzKelLiUUziDGdWLuOmmbzFjRimzZ1dGekjHJCXsatHY2qiT5IXCdJuuQYFLh5WzTNInOe3ftqGpRyMnxY65K4TK9PHiHoPWPo2V1WHyVDBWUZQJlp4kKcm02FCn43NP745fscilO51/Z+barK01eHanweXzTVJjKFvg7BkWgZCgc3Dig5+6JlleZU7Led6BTosDDWtZUrn8lH6utU/wyn7D6TIdpTyGpCzbZmaORdIklOWwJexs1tjRpJPghmSf5JX9BlsaJFnJkpQEid8rSUuUk75emS4GA9A3orG8MhyXDQBU4EmJWx/95h+4/Wvv4Y1vfDf33/8nFiyYE+khjZESOgYENc06bf0aswos5hVZU57iv6lep7bdmWhfNi+s0nKVqDQcdD4YgbDgeN0cFUVRzsSScouwJXhhl8GquZN/4UeZeF4XrKw2+c8GFwd6NFITYydjwG04Fxwf2uRiNDyxk8G5hfG3ZWc8bAmlZSVIMYO97ZLiDBv3a1a+UsJIyCnw7j0YmGvpFTy/y0ASfUEngSTTLynPcYqFT2ZwYlujzq4WjVkFNnMKLXTN6bTW0ifoHNA40K0xEgSJYEa2xeIyKy6DJVOpuVdDF5LcOL34oQJPStzyp2Tw6e/fza++8R6ufNN72bTxCTIy0iMylkP7w/d3aHQMaIQtsGxBis9meVWYwvTIHGA6Bw8u6EOC4aDA547PA50S20Km87daCCqKMll0Dc6vNHlyu8FLe3Uun2+qRVQM0jTnj4jBixSGDtX5FpsbJm555vdKKvOm396osAlr9hgETOdDvKEONu53FvQpCRKPIekfEbT1awRCzlx4Zo4TPNl2QI+qoFOCW5KbapOXapOTIo8Knk2G9n5BTYvOwhKT6vzD75/UROlkEhY4X7Ns2N2qsbXRoDTLKWSunL6+EUFqosTQIz2SyaECT0pcS/SncPVHvsVPbnoLDQ1Nkx54Gg0729c8rsPtcUdDsK7OoKVXI9lnMyPbxuNyTnw5Ee40cahmjtuQ0/JqmBIbUhIk9rDTfUpRFGWy6BosKLF4dqeLgYBQ58UYNBqC0bCYlK1HU6E002ZLg5yQwIcmJOdVTL8Aqmk5wZC2/iOfuC0FLb2Clt5j/9zedh1Ng8FAZINOuuasD3JTbXJTbfxepnytcKBbI8kjqTpJ0FLXDhfH97nU8fJMSUlcf15V4EmJe7rmvM1N88xSroNh2NuuYVqCvDSbTL9EE87Xm3o0GrqcbCZwTvZpiRIpnei1y4DlVWEK0qKrpemhiHrxJKfrKsqZmJlj0T2oRdVnR1GU+JSWINGEpLFLIy2GtmopjpY+ZzKTnRybWT5eN2SnyDMukC6QLCm3pl2mcMiEZ2sMeoZOb1K7pzUyqSaJHklRhpPVlOmXUz4nt2xny2EgJGjp1djXoVGRa49r3uVkYUk27DdYOtNUZTvOgC2nPsg4lVTgSYl7W19+giS/n/nzZ5/Wz0sJWxt19rQ5ZwFDh5oWHU04qZBhy7lNdrJkSbmJ1yUZDgq6BgVCQFm2TXFGdBbvTvZJuoecouaKEq2KMiRFk9zxR1EUBZyM5dmFFtsPGGSn2KrQeAwZDsK2AzqF6TYJnkiP5vSV51i0959+5CHBLTl7hjntOiNLCevr9NMIOjmBHmuKO9b5XJLiTGeNkJ4UmQvTfcOCPW3OxfNDz18XkjmFFrPyx7c2cBtwXoXJS3sNHt3sYmGpRUGas+6RErqHnI6hIROWVaq53IlIKaa83u9UUoEnJe7t3bGOZH8SHR1dFBcXnPLP17Ro1LTozC6wqMqzcBvQMyzoGRKYlhOIKkx/betSSUXuhD2FSVOdb+P3SXJSptfkRFEURVGOZ06BTUOnpLlHIy9VLZRiQd+I4OkdBoYGC0vMSA/njBSmS5J9koFT3PLlNiQVuTaz8q24rRFzIg1dGge6T/2Jl2Q6c/hdLZP/S3MbTpHz4kybLH9kd0E09QjW7DHwumBWgUWWX+JzSxLcnPL7Jy9V8voFYTbW66zb54QXPIYkbDlbHH1uSVmWjYzzjJ4zpTKeFCXGXffx7/Kbb3+QSy69hpfWPkx6etq4f7a1T7Ct0Qk6zS8+PPnMSJJkxEH6coJHUp0fXdv/FEVRFCWShIDURJv+CNd6UcbHlrC2Vsfnklw8x4zKDPNToQlYVmHyzE6DoHny92Bqgk1lnpM5Mx0DTod0DzpNewZGBVKO/7M7EBB0DkzunN7vlVTlWZRmRcdr1DUoeHGPQUGaZFmFiTYBW/s8LjivwmJOoUXfsMZAwPlask+SlSzjOpNnogwHIdMf++vL41GBJyXu5RVXctOP7+WbN1zA73//V774xU+N6+eCYVhba5CbKplbFJ9XPHc06bT0arx+YTjSQ1FizHAQgmGn+4aaTCiKEm9sW2Co2ocxoaNf0D+isWpOOOaDToekJkpetzDMnladnc1HRyoMzenQVpFrkR3hRjXRYvEMZ64eDENtm0ZNs441jgBU7/DkfdDTEm3mFFrkp0XPXElKeGW/TmqCU3x+IoJOr5bsg2SfKuFxqizbCYJW5MTv704FnpRpITUjh2WXvZ077vgbn/vcx9H1k19uqO/SMC1YUm5GzcliovUNi7FuFIpyMr3DTkeYhi6NgYAzU6nMszirND4Ds4qiTF8hE3xudX6Mdr3DgnX7DFJ8dtxlCnhdML/YKfMwEBCELScbz+tyurxOdMAgXnhcMLfIpirPpqlXo6FTo71fTEinwPHSNcm8IovKPDvq1hC2dIJt58yYfh0Po9lAwMnUS43jbqoq8KRMG+dc+GZqNj7PUxu6WFCde8IrRFLCvnadgqNqN8WP0TD0DAkqcuM3sq5MrFf263QNHjlLSfLE7wlSUZTpy++TtPZq1HdKSrPUeTLaDAZgT5tOXbtGcoJkeZUZt1k/HhdkqVb1p8xlQFmWTVmWTd+IYP0+ne6DhcdnF1g0dmkMBSf+TZOdbHNOuYnfO+F3PSFGD25yUEGn6NI/4rwXUxLi97OuAk/KtFFSuYCcwhl0hbJ5ZqeLmTkWi8usY05UQqYTeZ5TGF8ffimhPyBo7RXUdehoGpRlq2wVZXw86oyhKMo0MTPHpqVX46W9BomeMFnJ8TUfiDVSwuAotPdrtPRqtPYJPAZUF0zfYtrK+KUmSC6dZzISdLLGDB3y02wOdGvsbdPGtSUPQAiJ1wVel7N1zrTBtARuQ+L3Sspz7Kjb+njos9M/IhgNC/a1a3hdkgLV0Tqq2AdPMfEcEFTLCGXa0HUDw+Xm/93yLn71l3+wvs4gI0lSln30gffQBMaO4WOylDA06nR66R3WnL+HBIGwQNckOcmSBSUmSVF6RUaJPsfadrKpXidoiqMm/sGwE8D1+6ZwgIqiKBMkPUlyxfwwD2928WyNwRsWhknwRHpU00fPkKCtXzA0KhgOCgYCgkBIoAmnucuScouSTDuuF2nKxOoYEOxq0RkehSQvJHkllg3ZKRJDt2nq1o7ajpfklWQnO9s4M/02fm/sdB0zLdjbrlHbpjN8MLNLIMlMlpw9w8SlgrVR5dDbSspX/SdGdHf3jut2KvCkTCtpWfk0bN9NeY5NW5/NtgM6xceZuAgkZgwGniwbtjTo1HVomLZz5PK6JKkJkpIsm5wU52qMmqwppyo3xWZv+5EzFYlgR5PO3jaNRK9k6UyTZJ/T1nhjvc7sApuyLAtbwkhIIATkpqjMAUVRop/XDedXmTy708XgqCBBbS2edIOjsLneoLlXw6VLkrySJA+UZtpkJdtkJUu1YFZOS3ayJMt//C2ZgwGLXa06AyOCTL9kRo4VtdvlTiYYhie2uRgOQmmWTVGGTUaSxG3ETuBsukk6WHN3ICBIi4E6T6FQiN2797Jlyw5+/vM7x/UzKvCkTCudLfVkZaYDMK/Y5NHNLrYd0FlYcuR2s7Y+pwhhdoyl1g8G4MVag/4Rwax8m8xkm7QEiTdO61QpU6sgXZKXatPad3TUMmgKgkOC/R06C0os0pOcSzY7m3UauzUETl2Bsiyb3BS1vVNRlNhgms7fQ6OCHBU0n3Qv1RoEQoJzZ5qUZEZfYWYltp0o6OL3wTkz4mN+0tbv1K86u8xkpqrlGhMOFRXvG57awNPISIDNm7dTWlpEXl4O7e2d7Nixmx07dlFX10BbWwetbZ0YhkFqih+/P5H99U3U1OwhHAohhKCobNa4HksFnpRpYzQwTM2m5/nmN24CnHafC0osNjccDNQUOC1ph0ZhY71BWqIdUwXehoPw2DYXPhdcOs+MiWi5EluEgGWVJs/uNMYKdL5WY7fGvGJrrFtiRa7T9U5dYVMUJRblpDq1W9bXGWSnhGI2AyIWDASge0jj/MowRRlqDqMop2t/hzNHy0tTQadY4UyT5VitpzNhmia/+MXvWb9+M4sXz8fr9RAMhgiHwwSDIUKhEMFgiI6OLp566nlGRkYA8Hq9jI6OOv9OSCSnYAbJ6Tmk5M3Dti16hvpp6RkkLWsWbznvaorL51IwYzZS2tx09dyTjksFnpRpY+crzxEOBXn961eNfa0qz8bnNtnZpPH0DhepCTZDowKvG5ZXmREc7akbGhWYlmD53BApCZEejRKvXDpcNNvkhd0Gbf1HB5+Gg4KGTo2STBuXLunoF4RMpyuPoihKrHHpkJtqM9yu4VXHsUkVNp2ll6qlpShnJifFpq1f45X9BueWm2oOFgNGAkGeefDv3LnpSR598Le43ae+XaW3t481a9bx81vvZPOmrZTPPpvn1/wR27Jwud0YLjeGy4NhuDBcbjy+JC655hPMWbyS3s5WOlr2k5VXSkHZLDJyCtG08dVlCYwMjut2KvCkTBtb1j7OrFlVlJWVjH1NCCjJtCnOsGnqETR2axRl2JTn2DE3wTyUjq4yS5TJZuhwXoXJQ5tchK2j33Ab9utsO6ATtgT9AcGzNQYXzlITH0VRYlOCW2JLQXOPRmmWyiCYLKmJEpcu2VSvc0G1iVutUhTltFTn2/h9YdbtM3iuxuDC2erzFO2Skzz867ffBOCzn/0Gv/rVD8f1c62t7fzjH//h3/c/yo7tO5FSUlhaxed+eh8zqs8a9+P7EpPJzC2moKz6tMY/Hqq8sDJtHNi7hQsuOPeY3xMCijIk51dazCmMvaATHA48WbaKPCmTz+OC4sxjL8AsWzASOvw+7B3WeHqnwWh4qkanKIoycarzbTL9Nk09ato8mXQNVs4yGRgRvLRXrZIV5XQJAYXpkotmmwyOCjbWq4r8seBvf/stAH//+31Iefw9d6FQiP/+9zGuffuHmDv3An74o9vxppfznht/wvf+tIav/vrxcQWdpJSsf+5BPv7GMr7xwQv43icuP+Hjnil1VFemDd1wTeqHaaqFTAiEBElep0PdSMj5+rFa3ivKZChKt9nXPr7JTP+IxjM7DC6aY8ZkYFdRlOlLCMjyS+q7VOBpsmX6JeeUm6zZ46Jr0OkupijK6UlLlCwqtVi3z6A00yY3VX2eotnZZy8Y+/fQ0DB+f9IR36+pqeVvf7uXf/zjAbq7uymrWsB1H/8eZ6+8El9i8ik9VkPtNu6941vs3bFh7Gs3/uBu6mpeobu9iXlLLkZKSc2mF/jfP2/nvEuv5eI3v/+Mnp8KPCnThtvjY3Q0GOlhnFBtm8a+do30JElFrs1ICOo7dEZCICWkJDithUfDgvpOjbAl8BiSFdUm7f0aHpdUi3plymQnO0V3B0dPnGV3ydwwe9s16jt1HtvqYkGxRUmmrbaFKooSMxI8ktGD52J17JpcBekSTUh6hlTgSVHOVFmWTU2zZHerTm5qbNWvnW6Sk/1j/7ZfVWW8pqaWz3/+W7z44jr8KeksuegtnHfptePeFmfbNsODvQz0dNLVfoCXnryHzS8+Nvb9lIwcsvNLuf3r78U0j7094ZkH/qgCT4oyXkLTCQRGIz2M4xoOwiv7DfJSnXT+ug4nkyQ1wR7rUNc3Imju1fAYUJplU5hus+2AzpPbnWjTgmJ1QlGmjqbBiuowz+x0EQgdfyU2GobqPJv6Tp1AyNlC0dpncV5FfLQtVhQl/rkNkAhM2yk4rkye/hGBLQUJHhV0UpQzJYSzG6K1T2N3q0ZFrj1WnkOJLqZ5eB2XkuJHSskvfnEn37vlVrJyi/nQzb9m3pJL6O5oYv+uTQz2d1M4Yza2ZdK8fxcb1zxCZ0s9I4M9hEPBsT/Dg/1Y1vHXiP3d7ZQWZvG5z32UhoYm/vOfR8aSNc5e+Sbe8K4byS0sP+PnpwJPyrTQ1dbI/l2b+Oj7r4z0UI7LPFikuSLX4jy/ZCAgMDQny+lEV1czkkyaejR0TVKYHl2TtD/+8e/ceuvvuPHGj/CBD7wz0sNRJtih1/ezn7+JjLlXMxIU5KTYDI8KhoKH37Q1zTorZ5kIJBJBokeSkxJd71XlaOrzG9/U63tq3IZzzAqZ0R94ivXXdk+rhs8tyU9T54ljieTra9tOIENl/U2eyXh9z6sw2VSvs6neQNdMZuaoJgmRcqLXd82adQAsX34uIyMBPv3pm7nvvoc4e+Wb6Gzax19v/SKWZRIKHjuRorSslEUL55CZWY7X68Hr9eB2u0lNTSE3N4ucnCySk/0sXfq6sZ9JSEjgHe94Cx0dXfzfz34LEuadewnnXXoNsxevRNcnLlwk5DiK3gwMDJCSksLP7t2OL8F/spsrStT51+++zebV97N9+3MkJPgiPRykdGoyJXoO/39Pm8ameoOV1WHy4mSyNX/+Sg4caKGoKJ+tW5+L9HCUCfbq1/fx51fz7E6DS+eZdA8KNtYfeaJKTbAZHBWcW25RmKGutsUC9fmNb+r1PTWdA4Kndrh43YIQKQmRHs2JxfJr2zUoeHK7waJSi6o8tTg+lql4fS0b2vsFTT0a7f0aIdP5mi0FLt25eJSTYpOXapPknZQhTFuT9fqOhuE/G1ycM8OiXAWeIuZ4r284HCY7ezYAX/ziJ7nnnoc4cKAZoemEQ6MsOXcxV77xUgxDp7i4iAsuWEpTUws1NbV4PB6KivKYO3cW4iRRYSkld9zx//jOd/6PkZHA2NeLZszi3EuuYclFV+FPyTil5xQYGeSmq+fS399PcvLxa02pjCcl7vV1tfHMA3/ks5/9aMSDTk3dgtREyd52p0BpTrJkKOjUa+oe0piZY8VV4b8bb/zIWFRfiT+vfn1zUyRvWBTG7wX9GOe8vhGNZZVhijPi5/0d79TnN76p1/fUWAfXaXoM1BeP1dfWtODlvQYZB+tcKsc20a9v2IKBgHD+jAj6A4KOfoFpOw1sCtJsfG6JoYOhOaUh2vo1NtbrSKlTkCaZVWCpelwTZLI+vzub9IPd7tRnK5KO9/r+8pd/GPv3j398O0IIpJRcdtn57Nq9j9/+5keUlZUc8TPV1RVUV1ec9DEbG5tYv34ze/bs49ln17JhwyYQggXnXcbSVVdTMe9cEv2pE/L8TkRlPClxzbJMfviZK2mq28lNN32Mr3/9poiNJRiGBze6sOyjV+UFaRaVebbafqTEjXX79LE6ZV6XZHaB8x5XFEWJRTXNGlsaDd56Tgi3umw74aSEDft19ndoXD4/HPVZZbFmaBTqOzXa+jXCJoRtgWk5wT5bHp6XJrglyT5JVrJTRzTZd/xtdWELGrs0drfqDAQEWck258wwSY78xgLlNfa1a6yvMzir1FRzsSi0du0GXv/6d4z9Pz8/lxtueBdve9sbKS4uPOX7CwaDrF27gSefXM1jjz/H3tp9ACSnZlA2azFzz7mYeUtWkZKePSHjVxlPigI88vfbaKrbCcBb3/qGiI6lvkvDbUhyky3y0yVJXqdmhFsHQ1f75ZX4MrfQonNAoyLXYmaOjRYDWQKKoijHY1oCgbo4NBksG17eq9PYrXH2DEsFnSaIaUFTj8b+Tme7nKFJ8tJs0hLBpUsMXeLSnZplyT6J3ydPqX6ZS4fyHJsZ2TbNvYLNDcZY59qKXNW5diLZ0im63zUoGA0JclNtMv0nrgF7SEe/4JX9OuU5lsokjDLt7Z3cfvsf+O1v/0JichrDA71c9ZbX86vbf4jP5x3Xtrn29k4yMtJobe3gySef44knVrN69VpGRkZIy8xh1lkXctE1n6dqwbIpyWo6ERV4UuKWbVmsfeKfpKen8ZGPvIfZsysjOp76To1Mv+TcCnXQV+JfggfesOjYLVkVRVFizcxci92tGuv2GZxfaapF9QQIhqGxW2Nfu8ZAQHB+pUmR2o49IfpHYPUuF8NBQZbfZkm5SVGGPSmF8Z3tW5LclDBbGnQ21hs0dtvML7bITlav5+mybGjtFezv1Gk/uPVRCCc4uKNZZ3aBxfziE3cH7h+BF/YYZPoli0stddyKIlu27ODKK9/D0PAwAkFwZIh3vOMtrFixlNlzVhAYCfD44/9iwYI5AAwNDVNTs4cdO3azY8dutm/fzc6a3Qz0D+ByuQiHw2i6zszZZ3PZtZ9iztkXUlB28ppPU0kFnpS4tWvLGnq72nniiXs4++yFkR4OWcmSvW0anQM2WepErCiKoigxw+d2OkM9v9tge5POvKITL/iUE+seFDy908CWkJcqOXuGqWoETZCWXsGLtQaJbsnrFkzdtkVDh8UzLAoybDbX6zy9w0Wm3yY3xaYow1aZbKfAtuGJbQZ9IxrpiTazC50aWumJEl2DrY06u1o0ijNsUhOP/bnpHBA8v8vA55acX2mqzPMoMjIS4M1XXc/g4CDp6an09PRh2xbr12/h7rvvH7vdhRdeRUFBAUNDQ/T39wOgaRq5ReXklVRz4VUXkltYTm9nK6mZuVQvPJ+EpJRIPa2TUoEnJW49++CfmD27msWLF0R6KAAsKLboHRI8s9PgrFKno0QUBaEVRVEURTmBgnTJ3EKLHU06xRlqS9jpsmx4frdBWqJkeZWJ1xXpEcUHKWF3q8aWBp28NMl5FeakZDidTG6K5PL5Js09gn0dOntadXa36lyxIDzWzVk5saGg05RlfrHJ7IKjd0rMLrRo7RM8tcPgnBkWRRmH1xRSQkOXxvp9Oul+yYoqU9WlizJ///t99Pc5gaTR0RB5RTMpmjkXEIh9+5FS4vJ4Of+yt+NLTMbrS8KfmkFBWTV5xRW43LHZSlK9DZW41NvVyrZ1T/PLX34/alIMdQ0unG2yqV5nw36DrkGLJTMt1VZeURRFUWLErAKbug6dbQcMlleZkR5OTLJsGA0LFpZYKug0QYaDsHG/QXOvRnW+swUrkvNLIaAwQ1KYYTI0Cg9tctMzJEj0qKy28fB7IT/NZn+HfszAk0uHVXNNXqo1eLHWILlJUplr4fNIapp1ugY1ijMszp1pxUQnzummo6MLITSktFn2unfzhnfeiJQ2SMn7v3BrpIc3aVTgSYlLh5o1ZmdnRXgkR9I1OHuGky778l4dlwGLy1S6vqIoiqLEAl2DWQUWr+zXCVtEJKMk1rkNMHRJIBTpkcSusAntA4L+EUHIFOxt03AbsKwyTHGU1cnyukAgqW3TyUgySVBZTyclBJRlWazZ42IkyDF/Zy4dVlSbdA0Kapp1th7QCZmC1ASbC2eFyU2NrveBctiVV17OT37yKwCe/s8f2Pri/+jv7SS7oIwv3/YwWpzui1SBJyUupabnYBguGhqaIj2UYyrNsgmEYEujwax8S52ElWkrbIGhqa6Osaq1T9DSq6kAujKtZCfbgEH3oFCLu1Nk2fDMTgPTEqQkqN/dqRoNQ02zzt42DUsK3IbzO6zIs5lTaEVlINTQYWGpxaZ6gwc3ujm/MqyKyI+Dz+38HbYEnKCjZqZfsqLaJGTCSND5XKk5VXSbN28WO3Y8T21tHXV1Dezf38jISIA//OFv7N2xjsp5SyM9xEmhAk9KXNJ0nfySSl55ZQsf+tC7Iz2cY0o7WAywvks7ZhqtokwH2xp19rVrLK8yyUtTE9FYMxIU1LZpLCxR6fzK9JHsA79XsqlB5+JEE4/aLjZuLb2CrkGNZRUmeSpoN25SQl2HxuYGHQlUF9iUZVkkxUipl8ykw691IHTiQIriGAg4v6dDwcWTcRuM+7ZK5OXn55Kfn8vKlcsAsCyLv/3tPhprt8Zt4ElNE5W4VbVwOU8/s4ZwODpbumenOCeHjn71MVSmr8xkG0sK1tcZmCppJuYk+yQgGBxVl1eV6UMIOL/KZDgoeOAVFy/V6ur4NU77O3QykmyKM1WDlfEaDsKzNQbr6wwK022uXBRmXlHsBJ0AMvyS684Lcd15ISrz1MXW8djfoZGTIscyn5T4FgqFCYVCeBP8kR7KpFErXiVunbXiDfR093LF695JQ8OBSA/nKAMjzoyrJFOdgJXp69DnYCQk2LA/CvcIKCfk9zkB9MFAhAeiKFMsNUHyhoVOAOBAj8bLew2kSjY4oZDpbM8tzVLznvFq6xc8utnFQECwsjrMuTMtlWE3DQyNQuegRpn6rEwbzz67Btu2Ka1aGOmhTBoVeFLiVmnlAj7/0/toaull+Yo3c999D0V6SEcIHmyG0zMUm5f8eocFT203eHqHgaXOi8pp6B4SbG/S8bkls/ItqtRV0JggpRNo2t2isaFOJy3RVi2ylWnJ53a63J0zwwk+9Q7H5vl8qoRMkIiDmZLKyUgJm+t1UhMlr1sQVtvRp5F97TqGLilMV/Oi6eKuu+6lpGIuhWWzIj2USaMCT0pcK61ayJd/8RCzFl/EDTd8lk996mZCoehoo5KdLKnOt6ht1+kfifRoTo2U8Pxug85BjY4Bjf4RNdlWTl2yT6IJuGJ+mAUl1ljdMyU6jAShoUtjd4vGrhaNnc0aa2t1Htzo4uHNbrY06thSMLfQIj1JvXbK9FWcYWPokpZedS48kUMZYeq3ND69w4K+EY05hRZuVZV32giGobZNoyLHxlCJ4NOCaZqsfv4lFix7XaSHMqnUYUyJe77EZN7/hV9QvXAFd//qqwwODvH73/8Mw4js218ImFdkUd+psbddj6muUEJAebbFtgPO77BnWKiFp3LKdA1mF6ptA9FESmjqcTLR+keca1OG5nTIEQISPZLiDJvsZJvsFBmVHZQUZappmhN8qmnRKUiXKoh+HK6D067RsCouPR6HamB51GptWtnT6hSQr8qPnXWBcmZqavYwPDRExdxzIz2USaUOZcq0IIRg2WXXkuhP5Y7vf5RPfPIr/ObXP0LTIpv0p2tQkGbT3h971/+q822ae2x6hjVaezVm5qh0YOXUaALmFqr3TbQwLXh5r8GBHo3cFJs5lWGykyVeFRhUlJM6q9Sid1jwXI3BwhKLElU8+yhelxO87hoSFGdGejTR71CHstHo7JGjTIKQCXvanDm1OvdGtw0bNpOZmU5pafEZ3c/Q0DA33vh1APKKKydiaFFLbbVTppUF513G+z5/K/f86wE+97lvIqOgEmhWsmQgoMXcxELX4IJqk0SPpK1fEIiOHYyKoozDSBCaewUd/QLLhkAInt5h0NInOL8yzIWzTYozVNBJUcbL0J1zYqZf8tJegye2GXQOqMjTa2X6bbrU72VcEtzgMSSdg2q5Nl3sadOwbahW2U5R7Wc/+y2XXnoNP/vZb8/4vr74xe+wceNWABL9KWd8f9FMZTwp0845K99EODjKn2/9Aj6fj1tu+Qoigpcls5KdjI+OAUFxRuQDYafC64aVs8Ks3uVi/T6DC2aZkR6SoignMByEl2qNIxYyCR5J2ARDg1VzTLVtVlFOk88Ny6tMOgYEm+p1ntrhojDdpjjTYjAgGA4KKnLtab0VLydF0tClMRKEBNWU4ISEgKIMm9o2jao8S10IiHOm5Wyzm5Fj43NHejTKq4VCIV566RU2btzKPff8l507dwPwta/ddEb3OzIS4O67/z0RQ4wJKvCkTEvLLruWUDDAb37zDWbPruDd774mYmNJ9EB6os2+dp3ijNgL3CT74LJ5YToH1RVMRYlmXYOC53cb6ALOqzDJ9NsEQoLaNg2P4dTbUgsbRTlz2cmSy+aZ1HdpbG3UaepxYWgStwH1nRqvWxDG74v0KCOjMN1mQ51OY7dGdb7aan0y1fkWe9t1eocFeanTN2A5HRzo0QiZgspcle0ULSzL4pZbbuXnPz86s+nBB+8iO/vM9gyvWbNu7N8lFfPP6L5igQo8KdPWhVdeT/2uTXzzmz/lDW+4lLS01IiNpSrfZm2twYFuQVGMZT0BuA0oUG1+FSVqDQfh+V0Gfp9keZU5FmBK9Egy/WqSqygTTQgoy7IpybQxLSejUAL/3ehid6vO2TOm5+fObThZPLtadMqz7bGC48qxHcp8CYRUQfZ4t69dIzvZnrZB6WgTDodZuPBiWlraACgoyOPd776axYsXsHjxfNLT0874MZ5++vmxf88/95Izvr9opzYNK9PaWz54M/39A9x338MRHUdRhk1RhsWaPS76RlTmkKIoE8e04IXdBoYOK14VdFIUZfJpwgm2AGxt1BkNO1vuprP5xRamBWv3GpjTM/42bod+Py5dBZ3i2WAAugY1ylWjnqjxy1/+YSzotG3barZvX82Xv/xpLr105YQEnWzb5oknnkc3XJRULmDVWz90xvcZ7VTgSZnWUtKzqZy/lIcffiKi49AELC5zZhdDoxEdiqIoccS0YM0eg4GAYHmViUcFnRRlyknpfA73tGlU5lrMLZze0ZZEDyyrNOnoFzy9w2BUNSc5ruDBCgzq2B3fhkadYHSmP3YDTwMB2NGk8cQ2g8e3Gqyt1WN2TXPHHXfx3e/+HwCPPfYvCgvzJvwx7rzzLvbtq8MywyQkpeDxJkz4Y0QbleCqTHsLzruce+/4Nv39A6SkJEdsHC7d+TtkqnRqRVFOnW07i5SQKQiGnYYFdR06QdPJdJrOBY0VJZJ2t2o092qsqApTkK4+hwD5aZKL55is3mXwxHYXF1SHSYn/ddcp6z+YBe/3qvdNvApbsL1Jx21IPDG2Mu8dFmxu0OkbFpiWs8U4L1XiMiRtfRr/26JRnGmTmiDRNSjOtMfWO9Hq+edf4ktf+g4Aq1ZdwJIliyb8MbZtq+FrX/vR2P8/+KXbJ/wxolGMvb0VZeKVzzkH0zTZvXvfpBxcxmvk4BU/n1tNLhRFOZJpQWO3RueAoG9EEDYPbtURTjZFyISwdeT2HUOTFGfaVOXZpCSo44qiRIKUsP2AzswcSwWdXiM9SXLpvDCrawye2Obi7BkWpVmxm/ExGboHNRLcUnU5i1MjQVhba9AfEFw028SI8qDMq1k2PL/bwKVJKnItMpMlmUly7DmELYuaZp0D3Rp1Hc78pH/E4qyyyGV89vcP8stf3sn/HnsWy7J44fkH0fUjf+mjo8Gxf99ww7sm7LEty2LTpm3YtuRd7/o4phkG4PM/vY9Ef8qEPU40U4EnZdpLSHSynAYHhyI6jt5h56CsshIURTnEsp1sid0tOiETUhMlaYkSj/Gq44QAj+F0zPIYEo/L+dvnJqYmsYoSj4SABA/Y6tR+TIkeuGSeySt1Oi/tNWjvt1hcZqljF07Q8kCPRk6KCsbFGymhrkNjc4OOrsHKapOMpOg/SFi2E0jf3aphS4EmJCvmWcdcu7h0p57b/GILW8L/triobdNIS5SUZUfmPf2jH/2C3/zmz2P//8hHPs/73ncdy5efO/a1VycheDwTF/HdunUnl17qdFFPTc8G4A3v+izls8+esMeIdirwpEx7XW2NAGRmpkd0HL3DGj63VIV/FUUBnK1yG+oMBkehPNumOt8iyRvpUSmKcqqKMmx2NOm4dFhQbKGpCqtHcOmwtMIiO0Xyyn6d7iHB+ZXWtM/UbO1zCtHPiNAiXZkcAwF4Zb9Be79GWZbFolJrrAFBNOseFLy012A46HTjTvJIspJtksfRhU8TcMncMI9vdbFhvz6lgaf+/kE0TeD3J9HW1knlvHOZc87F3P/HH3DffQ8xd271EYGnYPBw0blHHnmKlSuXoU3AQTspKRGA8y65hrd96Gu4XB5cnuk1qYuBt7miTK7t658hKzuLefNmRXQc/SOC1Gk+yVIUxan3sLleZ1+HTkaSzeXzLFJVJqSixKy5hRYeQ7KpQWdw1Cn0r03vxnbHNCPbJiPJ5sU9Bo9vMzir1Jq2Xb5Gw7C+ziDLb5PpV8f/WGTZ0DUo8HslCR4IhKCmWae2XSPBDStnhclLjY3XtndY8EyNQbJXcvl887TqsbkNyE+z2dOmc6BbUJQxuc+9paWN++57iMcee5Y1a17m05/+EI8++hTnXnIt9//xBwCsWLGUT33qhiN+LisrgwsuWMbq1S/y+9//la6uHn7zmx/j9XrOaDwPPvgY3oRErvnIN/AlRq6mcCSpwJMy7e3Z+iIXrjxvQqLZZyIQcuodKIoyfXUNCtbWGgTDsLjMZGaOjVALVEWJaUJAZZ5Nklfy/C6DLQ06i0qnts6JLWFro07XoEDgZBlV5FlRt/BNSYBL55lsrNdZX2dg2SaVedMr+NTaJ3h5r4EEzqsw1TkgBo2G4KkdLgZHBbqQJHqdTCdDh/lFFpV5NnqMZD4OB+G5GgO/V3LRHPOMioMvLLHoGhLsbtXJTzMn9Xdw6613cOedd439/xe/uBOAFx79+9jXnn/+JW677U5uuumjY18TQvC73/2EC1ZeRWdHJ//5zyO0t3dy553/R0HBqXe32759F//731P87nd/ZfaiC6Zt0AlU4ElRyMovY9PmHUgpERE8u4+GxZF1WxRFmVaaewQv7DZIT5JcOMvEP470dUVRYkd+mmRBicXmBoPyHGtcW1RO16GmA27DybxYW2vQ0isoynCC2YMBwXM1LvJSbRaUWFGVcW3osKTcwqXDxnodn1tOenZEtAiEYM0eg4wkydKZpioqHmPClrODYUOdTtiCVXPCdA0KAiFBdb6kMN2OiW11h5gWrK4xxupQnWlHOk2Dylybl/fp/G+Li9Isi8J0e0I6WkopkVKiaRp///t9/P3v/x773uXXfoINzz3AyEA3H/7we0hKSsDlchEMBnnPe6456r5yc7O59547ef3r3wWai63b97Bw4cW87eor+dxNH6WiYsa4xvT979/GT35yO15fIkXls7nuk7ec+RONYTH01leUyXH+5W/ntpvfxcsvb2Tp0sURG0eSR9I9JJCSqLq6JaUzaVWFPhVl8tgSNjcYZKdIVs5S23AUJV5V5NrsbJZsO6BzXoU1YZ91KZ3jiGlBICTYekCnpVcj028zHBSETFhRbZKfJsdu39Qj2NJo8NgWgyXlVsQK/h7PwhKLQMgJmnldJlnJ8R986h4SmJbgnBlhFXSKMV2DgudqDMKWINnnXEBKTZQx/b7d2uhsD75svol3gt6PpVk2qQmSnc0aNc062w4YFKTZLJ1p4jqDyMS73/0JHnnkCd7xjrfwwAP/IyWzgG/9/h56u1p4/tG7CQz28PTT91FdXTGu+5s/fw5/+MPPue66D/Ohm39Nb2crTz7wB/774GP85jc/4k1vuuKEPz86GuS2X9zJssuu5Z2f/D66oYr4qsCTMu1Vzl9Gdl4J/+///TOigaeqPIsX9rio79Ioi4J2wqYF2w7oNPdoJPskF8wyIz0kRYkJYRN2Nut0DQmQTie6gjSbnBR53KByXYfG4KhgWWV0BJ2Gg86Ec3FZbBQ9VZRYoWtwVqnFy3t11tiC+cVH10s5FBTa0aQTMgUuXVKeYzMj28bQnfNza5+grV9jMCAYCAiCYZAcPngIJHmpNmEL8lJtqvLsI4p1CwFFGZL8tDAb6nTW1en4fTKq6gkJAefOtBitETy/y+CSeeFJzRKLBiEzCk4AyimzpRMgTUmQzC92OtTFyla642ntE+xp01lUak54RmRqomRZpYVlWzR2a7y812Bns86CktPfglxeXgLA3XffD8BFy99IUko6rY21PP/IX/nxj7857qDTIZdccgG6rjM80Meqt9zA8te9k7tu/QLXX/8p/MnJGLrOhRcu44MffCfnn79k7Ods2+b66z8FCC560/tV0OkgNZ1Upj1N01h62bXc/89f8oMffJ2UFH9ExlGYISnNsli/TyfRLclOidzkz7bhxVqDll7nrJnojZ6JqKJEswPdglf2G4QtKEhzAsgtvRq1bTqJHklZtkVZlk3iwRqVpgXbm3R2t2iUZB67JXGkNPdq6Jqz5UVRlIlTmmVj6JINdQaPbnGTl2pTnGGjaU5tmMZuje4hjbxUm/w0m6FR2FSvs7He6Yxn2WBLJ6siJcGm3C/xeSSGBrom8bggLVGOa1uMrkFKgkRKQTAKry/pGiyvMnl8m4utjQbLq6JwkBNESnhlv06y7/A5Ih7YElp6BKOmoDDNnrDMmWjS1K0xHBScX2nGRb3WYBhe3muQk2JTmTt5F8N1DfwH1xiZyWf2ON/61hc4cKCFhx95iiUXvYXXXfdJABpqt+Byu3njGy9l7979zJxZNv7x6TrZ2dn0drUC4PEm8MEv3c6CpZfR193G6MgQ69Y+xv1vfBfveMdb+fWvfwTAb3/7Fx5//Bk+8e0/UThj9hk9r3iiAk+KgtPa8sG//IT//e9p3v72N0dsHOfMsAiEBKt3G1wWwSt7XUNiLOgEzjZARVGOz7KdheHedp3CdJuzSk0SDi4cpLToGhTUdThp5TsO6KQnSaSE4aAgbMG8Yovq/MhnOh6S6HG2uWyoMyjOsMmNsgLEihLrCtMlealhGrs1drdovLzPmZJrQpKTIllRHaYg7fDnbmjUoq1fw7Sc1uR5aTb+CerEXdehU5plHfF40cRtQEWuxZYGnWAYPHGaPCAEYx3QoqnkwpnoH4EX9xj0B5w55TbDyaoLhJzzX6JHUpRhx1Sx7ddq6hGsr9PJT7PjIug0GoJnawykhKUzJ7+4faJH4tYla2udLXdFGTZ5qaeeMRYMhrjhhndRWlrErbf+jrnnXMzCZZeTlVdKOBRi9uzlFJcUsWXz06d0v/kFuXS2Noz9XwjBORceXiu+4V2f5Tff/iCbN+8AYOvWHXzzWz9h1VUfZO45F5/ak4hzKvCkKEBqRg7Jqek0NbVEdByHruz9b4uLzQ0GF1RH5speWqIk0SMZDjpnmySV8aQoxzUahmd3GgwEBGfPMCnPPrITnRCQlSzJSrY4q8yisUujvV9g6JCbKinJtCaksOZEK8+2aeiy2VhvcMWCcFRsAVSUeKJrUJZlU5ppYx2MO2vCKcD7WklemOmdnOC0S5cMjQoGR5mwYNZEK8202dKg09ClxXWXu+p8m5f2GjT3CArSY3/utbnBwLIFl80L43NLdjbrDAScbL38NJuBgGBro87+To2L55h4YyCoaNsQCDOWlVbX4aQWnlse29l4pgU9w4L1+5ys7YvmTE1xe58bLpsfpr5T40C3RkOXC69LsrTCJPcUdn/8+c93c/PN3ychwZlQGS43fV1t2PbhrO3ZsytPeXxXXH4hP/zhL2m65mPHzF4SQtDZUscbrzif4eERPvDBm8gvqeLN7//SKT9WvFOBJ0U5yJ+aRUdHZ6SHgUuHeUUWL+016B8hIgtSlw4zsi22HXAOEdG0/UdRoomUsG6vQSAkuHSeedLPikuH8hyb8pwpGuAZEAIWlVg8vs3F/g6N8pz4XewpSiQJEdkGHnMKLdbWGjy8yY3fK/G5JQkeSU6ypCTLjoqgs8fldAWsbdMpzXI6g9kSBPGTHQRQkukE/DfVG+SnhWP+uRm6RCLGMoEWlx29dbtvxOaZnQardxmsmmNGdeZT/4hgba1O34hGdrLNimqTFJ+ko19E9bhPpr5TY90+HVsKkjySS+aGSZrCIHSSF+YW2cwtsukfgY31Bs/uNJhdYFOVZ40ry/Ftb7uSm2/+PiMjI7z3sz+lasF5fOXdSxge6gfA5XLxg+/ffMpj+/Snb+C+fz/MX2/7Il/42X/Q9SPDJ011O2lvrqe/fx6rLrmGpqZWvvyLh3G54mi/7ASJ4Y+Iokwsf2oGHR3dkR4GADkpzgJvaDRyM46ZOTaVuRbVeVZE600pSjTb36nR0qexZObJg06xKD3JycjadkDHVKWeFCUu5adJ3rw4zLkzTfLTbDwuyUBA8PI+g8e3GrT3R0f0Y06hRTAMT+0wWFurc9/LLv693sVjWw1e3qtT16ExNBrpUZ4ZIWBWgcVQUNAxEB2/9zMRCAmGg07H5uNJTZCsrDbpHRbsaonepWkgBM/sNLAlnDPDpGdI8NgWFzUtOqYtCIQjPcLT09IreHmfTlGGzeXzw7x+4dQGnV4rJQFWzjKZW2hR06LxwCsu1uzR6R858c9lZ2fyyU9+EK8vkfMuvYaG2m1jQSeAj33sfZSWFp/yeNxuN7f/8vs076/hX7/9JvI1b+Zdm18A4N57/4vLn8+NP/gHuYXlp/w404HKeFKUg7ILZvDEE/fz2GPPcPnlF0V0LB4XeF2S5l6NgvTIrPY8LjjrGFemFEU5bF+7UwA4WmujTIR5RRYHujV2tWrMLVRZT4oSjwzd2fZH1uGvdQ0KNtXrPLPTxawCiwXFkZ0TpCVKVs0N88JuFz1DgtmFFpqAvhFBe79gf6cGGBSm2ywsMSO6eD4TWX4n46y5RyMnJbbnYZ6DK83NDTqLSo//XNKTJJW5NjXNTgAk2roX2jas2WMggItnm3jd0DEgaOjSKUizKcu2SIrBBJfRsFODKz9Vcu5MKyqyG8HZcjy3yGZmrk1Dl8bmfSH+dOdd/O6H70XXj58eun79FkqrFgLg9SUCUDlvKYGRQf770BN861tfQJxGGuHixQv46U+/xY03fo2cgnIuvuoDY99bfsU78CUmU1Ixn6LyOad839NJ9IaVFWWKveUDNzNz3jLe+c6P8utf/+moiPZU0g5e8arr0Kht0054pUhRlMgYDkL3kEZJZnwHY5K8UJFrs6tZZzRGr+gqinLqMv2SS+aaLCg2qWnWoyIbJSUB3rDIycqYVWAzOCpo6NIYCWmAQCBp7hE8WxO719aFgBSfZCgYJVGAM7Ck3MTvlfQOn/y5zCm08Lrhf1tcbGnQGQgwVvss0na1anQPCZZVmmNd+c4qtVhRFeb8KpPCdBmT2yJ3tzhBnCXlZtQEnV7N64KqPJs/3fJe7vv99+nsPPHOFNu2Sc3MA6Bwxmxu+PKvSExOo6ejmQONTfT3D5z2WK6//u186lM3cO+d3+HJf9/B6MgQAL7EZJZf8Q4VdBqH2D0qK8oE8/oS+fBXf8cDf/kxX/3q99m9ex8/+ck3cLsj0/e1MtdmeNRpzb6v3SbTL1lUasX0HnJFiRdSwsb9Bm5DUpAWJTPjSTT7YCB8T6vO/AhnPSiKMnWcrV82IdNic4OB12VSmhX5Y54tYW2tQXOvYFGpRVG6zWhY0DUo2HZAJyEyU7cJo2sQjvJDrWk5gSG3cWSdLdNysoFaejXqOzUkMK/o5O8ZtwFXzA+zq8XpAFvToiOQJHogK9mmJMsmO1lOeYDEtKCmWWdmjk1W8uErwR4XMV0APhiG2jaNilw76jtFNjY0AtDa2k5ubvYxbyOlpK2tg8qCRQBYZpjf//ATY99/4ol7SE1NOaNxfOtbX2BwaJi7/vRDHv3HL/n8T+8jr/jUC5ZPVyrwpCivouk6b/nAV8gtmsnff/kV9u2r5667bictLXXKxyIELCq1yE212dvutGnPSbEpyojdk5yixIOOAcH2AzodAxorqsK4psGZ1ONyit7u79CYWxQ96fiKokyN+cUWo2F4eZ+O25Dkj2N7sS1hYETQMywYGnXq/Bz6qUSPJD1Rkpo4/rbpUjpBgIGA4JX9On0jghVV5thYEjySoSCELcG8otjtMDYYgPZ+wYzsyAf4jqV/RPDsToNA2DkRuA1JRY5NklfS2K3R0S+wpCDRI6nIc4pDj7dbnaE7W6wqcm36RgSDo4LBgKC5R2N/p06Kz2Z5lYnf57y/+oYF/QFBWoIkJeHYWUe2Da19gqYeDVs6Qb0Z2c4F3fGwD77vUhPia/69u9XJdqrOj94IZyAwyk9+8itaW9sBKC8vPe5t29s7OXCgicvfdRYAO19ZPfY9b0IiP/rx7dz1/36F13v6eyI1TePnP/sOn73xwyxYcBF7d2xQgadTMA2my4py6s679Boy80q485YPc8ml1/LwQ389boR9MgnhFP3MSzX550tuGrt0ijJidzKlKLFud4vG5gadtETJ8qpwTF/tPFUzsp0geMeAOKUWx4qixD4h4Jxyi6ApWLPHYHGZRUmmfVTQyJbQ0iPY1+EcKyzbiQQkuA9mqghAwkgIbCnQhCQ1wemeV3awW91rmZZTT6+uQ6M/4DxgaoLNqjkmGa8KHtgSth8wyEs9MjMllkgJL9YaeF1Opmk02lSvY+iwtMRE1yTt/U4NQMsWZPpt5hVb5KfZ+L2n33HQ44KcFEnOwXPNwhKLrkHBun0Gj29zUZRh09avMfKq7Yh+r2ROoUVOik3QFIyGoaVHo6FLI2gKUnxOZs9AQNA37HSiHc/43Ab4fU7ALV4Ew7CnTWNmFGc77dy5hze88V309fYB8MMffo3kZP9xb5+ZmY7L7Wagz+lQ7vb6KKtaxDs/9X36utu545aPsGrV1fzxjz+nsrL8tGo9HfLSS68AUFIx77TvYzpSgSdFOY6KuUv4ws8e4OdfupY3X/U+Hn7oLjIzMyIyFiFgXpHJtgMGO5o05qgCv4oy5eo7NTY1GFTnWcwvmX5ZPz63swAYDR1cOSqKMq1oApZVmLy012DdPoMtDZLyHJvURJtg2Ole1tCpEQgLMpJs5hVZpCdK0hLlUZmhlu1kq/QMC9r7nYD+1gansHRxpo3HcDJT+kYEWxud+nIF6TazCkzchiQ39egtVw1dGgMBwdKZsXuBrmdI0DussbI6HLUBAY9LEjIZ23JZlGExv9hCSiZtzEJAVrLk0nlhth/Qae3TyPLblM+0SU2Q9AwJ9rTpvLT3yDea1yUpy7IpzbJJPdh5tqVXsHqXi7oOjfKcE8+npXS6144EncBmPJASNtbrSBm92U5PPrmad7/74wSDQQD+9a/fc+mlK49529/97v/h9Xq4/vq3UzFzBi0NewCoWrCML/zsfp66//e88twDCKGxc+culi59HQD19a+QkpJ8ymP7xz/+w8c+9gUAcgtnns7Tm7ZU4ElRTiArr4TPfP9ufv7la7nqqvfz73//kezszIiMZXaBTUuvTXOPCjwpylQaGoWX9xl0DmiUZVksKLFisojomfK4ID3JZmO9TrJPkp4UJ7NwRVHGzdBheZXJQABq23T2tGqYto4QEq/hBIfKc2zSEk98fNA1yPBLMvySilyb0ZCzwN/brlPfdWTXqsJ0mwUlJv4TdKmzbdhxwOkwFsvHproODZ9bkpMavc/BtATma6ahx8pUmwxu41DH5SMDJrmpktxUk95hwUjI6abnNiRJXo4KUOalSspzLNbX6UigPNs+7jl92wGdnc06WX47aoM0p2pns0ZDl855Fea4t0BOta9+7YdjQacHH7yLFSuWHve2X/7ydwG47rqrmDVrJlt27Rn7XkvDHu77/fd4/esv4ZyFZWzctJ19e+soLMxndDRIymmUfPrb3+4d+/effvoZPvK1O079TqYpFXhSlJPIKZzBp2/5O7d95ToWLVrFRz7yXj71qQ9GpO5T77DTPlhRlKmzt02nc0BjQbFJVd7xJ6jxThNw4SyTZ3caPLXdYFaBRXW+jXH8zsaKosSpZB8sLrNYUGxhS3Dpp7+tCsDrdoqYV+fbDAed4IZlg66Pr7bO/k6NoaBgeVVsZjtZNjR2O9sJo7WOXu+wYFO9U9/w3CjNKktLlKQlnvg2QsDZZRYC2FBn0NZns7jMxPeagvQh09leP7vAipumGo1dGtsOGMwtNKO2I+/+/Q3s2V0LwNe+dtMJg04Aq1at4Kmnnue22+5g4cK5PPDg4zTtr6GwbBY71j+Dz+fjD3+49YxqO73agw/ehRCCu+/+Nx//+Jdort9NQWnVhNx3vFP9sRRlHPJLKvn6b59ixRvex69/8xfmL7iYBx54dErHYEunHkK0Xp1QlHi0v0Ojts3JdJpVYKNN87Om24CL55hU5tnsbNZ5dIuLhi6N4aCTvg9OJ6amHsGGOp2nths8ttXg4U0uHnjFxZPbDTbU6dS2afQMibGfURQlNhn60V3NzoQQkOSF1EQnG2o8QSdbwo4mneIMa2w7VSwJmfDkdoOX9xrkp0lmFURfQKC9X/DUdoPRMCyvClMapUGL8RICzp5hsawyTOeA4NEtLjbX67T3C/pHBA1dGk9td/IzKnLjI+jUPSh4ea9OSaYV1TsnXn5549i/r7nmTezaVcvNN9/CJz7xJV58cf1Rt//EJz4AwA9+8AuKiwuorJjBH37wcQIjg0hpY9s2vQfrRE2EQ7WhCgvzAehsqZ+w+453KuNJUcYpKTmNq97/JS6+6gPcdesX+fznv8Mll6wkMTFhSh5f15ximt2Dgpk5U/KQijKtjYZhfZ1Opl+yoCQ+Jp4TwdBhQYnFjGyLjfUGa2udqYQuJAkeGAqClIIkjyTDb+PSwdAkmuZsW+wcEOzr0JAHux6VZNrMyLZIOsE2GkVRlONp7ROMhATV+dG7mD6RDXU6w6OCS+aGx91pbSqFTHhht0GGX7KiyoyrLNfiDEl2slM3qr5LY1fr4SeXnmhzybyjM6Fi1eCoIN0vWVIe3eUC1q/fPPbvq97yPvbX1QPOOqytrZPy8lLuuutffOYzH8blcrFixVIuvexCnnj8Wa6//lOUlhXT1tTIQ3/9OW9452d4+j+/57M3fYO7//7bowqK27YTmDKMUwuJfP/7t/GTn9wOQIL/NPbrTVNCypNfbxwYGCAlJYWf3bsdX8Lxq8krynTR3X6Ab33oIr7ylU9z000fnZLHHA7CI5tczMy1WVSqFsGKMtnqOjTW7TN48+JQ3Ew8J8PgKAwGnHbpQ0GB3yvJTbVPWI/FsqFzUNDYpXGgW8OyYU6hs3VvvK3Vlehi2U5WxIFuje4hgSbA75OUZ9vkpBy7zbmiTITndxkMB+GKBdG5/etEugcFT2x3cc4M86SFriPBlk5grL5T48qzwnF9LpTSKWYftiDFJ6O2uPuZkHLishMny9/+di+f/ORXjvv9OXOq2bFjF+95z7X84he3AE4A6Qc/+AU//emvxm5XOGMWX739f2x56Ql++50bWLZsCTfe+GFWrVrB3Xf/G7fbzYc//Dnmz5/Dc8/955TGWFZ2Dn19fQD84j+7cbmn95WzwMggN109l/7+fpKTj1+wXWU8KcppyMgp4vwr3sFPfvIrhodH+PKXP4XLNblnqIGAwJJiXGnniqKcmWAYtjY6hWrjeaI9Efxep431qXS60zXITZHkplicVWqxo0ln+wGdfe062clOceD0JDkWhDo0T3YZEp/76GKxSuTY0un4uO2ATiDkBB5zUpwFdOeA4NkaF36vU8y3LCt6W3crscm2nS5lsZaVWtumUdumMxx0MmvKsqIr6DQchC0NOl2DGoGQU88r3s+FQnDSovixLtqDTgDvetfVCCF47LFnmTWrgvPOO5vm5lY+c+PXMcNhduzYBcBdd/2LJUsWcu21b8btdvPVr97IokVzed/7Pk04HOa6j38PgAVLL+Wj3/g9j/3zdq699gbS09Po6ekdezwpT+2zNzISoK+vjwR/Kl//9ePTPuh0KlTGk6KcptGRIR6++zaevO8Ozlt2Dg8+8P9OOVXzVAwH4aFNLsqzbc6eEVsTLEWJJcEwPLPTIBASXD4/TMLE1KNUTqJ3WFDXrtE9LOgbFtjy2DNkISQJbqfgcGmWRUGanPa1tyKlo1/wSr1O/4hGUYbF7AKntfmhxY2UTmbb3jaNph7nRSrOtKnIscmIwi1FSuyREv6zwUVeqs25M6N7C9Eh/SPw6BY3hek2qYk2VXnOluRoMRqCJ3e4sGwozrApzlCfVyXy7rnnQT784c+Rnl3Iuz/zI9Y+8S/WP/sALrebWbMqOXvxfN761jeQmZnOO9/5MUK2hy//4mF0w7naIaVk+/qnefo/vyc1M5/M3GL2bl9Hgj7EU0/eM64x3HHHXXzvlp8zODAIwG3378btUYGn8WY8qcCTopyBwf5uvviOswC4/vq3c+ut3zvh7aWUR+0vPpnR8KECx07b18vnh1WBcUWZJMEwPFtjMBIUXDTHVBmGEWLZzvY9Wx7Mozr4d8iE4aBgOCjoHBB0D2l4XZLiDJuUBEmyz/mjsmoml5Swp01jc71Ohl+yqMQ66cJ0NOxsX93XrjMcFGT6bWYVWOSnqm14ypk5tC16YYkZE3WeBgLwyGZ3RMa7tVFHCJiVbx23VtPLe3VaejUunRdWtfeUiFuzZh0vvfQK119/LX/96718+9s/pah8NmXVi3G53Lg8Pvq629i3Yx2drY2Uz5zBJauWc+edf+WtH/wqq95ywzHvd9OaR7njlo/yve99ZaxA+Yk0NBxgybmvI790NvW7N5GRW8T3/vjCRD/dmKQCT4oyBSwzzCffNHPs/y0t2/D5jj5Lr1u3idtv/wOPPf4sebk5vOc9V/OhD72b5GQ/tm3z0EOP8+yzL7JkySKuueZN6LozG+gbFjy1wxi76jSn0MLvm7KnpyjTytAorN7lYjQMF882Y7I70nTTN+wUKm/pdTrrHdqU5zYkmX5JXqpNfppN4kmy1mwJoTCMhgVBE8Km00XUks5WHvvg34f/L/C4JAlup6B6glvidcXGNoYzZdlO0f36Tp3qfKfN+KlsfbQltPYKdjbrdA9ppCTYzMq3Kc601RZK5bRtadCpadGpzLVYWHpq78mp1jUoeHK7ixnZFkvKpyaDvb5TY1ODTjDs/GKKMyyWVR792CETHnjFxeyC6O58pkwfl1xyNa+8sgWAr371sxQU5PLCC+tY8+IGGuobAMgrnsk5F15FVl4pG194mE1rnM7jhsvNrf+uQdeP3pFyzx3f4en//IHS0hL+9rdfM3t25XHHYFkW1133ETZu3k1PVxsAn/n+36heuHyin25MUoEnRZkCwdERbnzrLFJSkjnnnEX85S+/JCHh6MjQvHkXErINll56Ld1tB3j56X9j6BpLlixi9eq1R9xW13XmzKlGCMHKt91IZl45P/7c2xga6OENb7iMW3/5EzLTpqaTnqJMF91DgtW7DFwarJwVVgHeGGRaMDQqGBiFgRFBx4BG56BASijKsKnItfG6JJqA7iGN9n5B16BgNCwImXC4ktTRNOH8nKY59aWEcLLjXr0dUBNO/SknGCVJ8kBmsk2mX0bVNpozEQjB87sN+ocF55RblJ5BXZpD2/BqmnVa+zQSPZLqfKcOVDx1zVKmTm2bxsb9OrmpkiXl0dmNTEr493oXYUvwprNCU7KV27Tg8W0uhkbhnHKLkAmb6nUunGWSm3rkMnD7AY0dzTpvivNC4krsGBgY5IYbPssTTzwHQHl5GatXP0BCgo+WljbWrt3Ak0+u5v77H0HTXXz6lr+xb+cG7r3zuwD8+uH6Y+42kVKyY8Mz/OdPP2Cor50d21cfs1O5lJJPfepm7v7H/cxbsootax+ncMZsvnr7o5P7xGOICjwpyhR47uG7+MevvgZAQUE+t932PVatWnHU7fLy5nHle7/ExVd9gD1b1/Lg//sp+3ZuOOn9+xKT8XgT6Ot2ouuLzn8dH775dpbMdBZS8bKYUZRIau4RvFhrkJogWVFtqq2scSRsQkOXRk2Ls73r1VJ8NlnJTpDIY4DX5WzR87gkbv1wkOlQoOm1pISgCSNBwUjI+TsQOvzvgYAgaAqEkKQnSrKTJVnJzmPG4rF7OAhP73BhS1hRZZKeNHEZgb3Dgppmp8Oh2wVVeRYzc2zcqgWOcopa+wQv1RrYEuYVWczIjq5AZlufU3B/doGTLTgVXtht0NSjcVapSWWejWk5AeT2fkFhuqQi1yI1QdIxIHhxj8GsAnvKxqYo43Xvvf/lQx+6CYDly5fy4IP/74iAUk9PL9dd91Fqdtdx/ed+TmZuMQN9XVTOW3rc+5RS8oNPvY7sdC+PP/YPtGMUjHz88Wd5+9s/xBvf9Vke+tvPAfjhX9eTkp49wc8wdqnAk6JMgX//4fs8cd/veOcnv8+WtY+x45Xn+OhH38fXv37TWOZTIDBKfv48rv/cz2jYs4Vn//sXZs2q4pprrmTBgtmkpaXi9XoZHR1lZGSE4eEAgUCAkZEAw8MBUlL8XHbZRQgBpq1R05HMgW4dXZNU5tksUJMDRTktlg27WzW2NeoUpEuWzjSjaoGiTBzbhv6A0ybbsp3C5JN9NV9Kp5ZL54BGx4CTgTUaFggkaQcDUelJEq9b4nM54zn0/rMl9AwJmns1eoYE7oPd/A7dzueW+NySRA9jnf8m09AoPL3ThQAunhM+6dbF0zUYgF2tOvs7NHQNZubYVObFfzctZWIFw7ClUaeuw5krFaXbzCu2Ju19eypqmp2MoredEz7u1tzGLo3URGeLcMjkhNt4pYT2AcH+Do3+EYHfJ8lPlZRm2QjhfP/edUdvnbOlUxtrT6vOQODwneen2SyvNFXDBiUq1dc3smjRKgA+/OH3csstXzmisVNfXz9vf/tHWLfuFbLzS3jdOz7D0lVvO+79Ne2v4ZZPXAHAvPlzOWvRHD70ofcwZ04VAKZpsuz8K8GdTu32dQC8/wu3seSiqybpGcYmFXhSlCkwOjJEf08HOYUzsG2bZx/8M/f/6QdkZqZz42du4PWvv5SMjDSKihZy3Sdu4dG7b6O3q43m5q3H3JI3XkOjUNums7tV58JZ4aNSpRVFOVrYgp5BwXDIKVq9u0VnaBSq852ru9OhPo8SOVLC4Ch0DGh09As6BzQC4SPfdIYu8bmcxWbQdAJOWX6JaUMgJAiEIGwdub0vPUmSlSzJ8jvb+iY6S2gw4ASdDA0umj01XR4DIdjTqlPbrmHbMLvA6ZinFsPKqRgahcZuJ7gSNqEq32Z2wfGLak8203Kyj7qHBG9bEqahS6OpW6M408LjchonpCVI/rfVSbvVNYllC1y6JD/N2S6ckXS4GH8gBC/vNWjr1/B7nYzKgYCga1CjIM1mYalJa6/GxnqDi+eEyU4+eq4oJfQMC0aC4HNDpupep0S5des2cfnl1wKwbNkS/v7335KScjg+IaVk/frN/OpXf+TBB//HeZdcwzs+dQsu19Enr6GBXh7++62YoSDhUJCXn/43H//4+7nllpsB+MMf/sYXvvBtMnOL6WxtoGLeUm760T+n5onGEBV4UpQI6Wxt4MG//ISNax7BtiyuuGIVNTW15M48h3NWvonffucGvvvdL/LRj77vjB5HSnhsq0GyTx6zQKSiKEd6aKMLW0pGQs7qNSfFZlGJpYqIKxEhpRMMDYScouaHAkujYYGuQV6q08L8tUWSw5bT7nwkJOgbcQJYnYPiYNFgSWrCoUCUsxA9k2yhgYCzvc5tOEGnqc48Cpmwq0WnplkjNVFybrn6vCqnLmxBTbPOrhYNnxvOnWkeMwgz2Rq6NNbWGszMsTh7hsUjm11HZBu9WnGGRXqSJMkr6RsR1HfoDAUFaYk284osMv2Sx7a6sGw4Z4ZJftrhgFRTt2DdPoPQwSB1RY7F4hlqnqjEj8cee4brrvswACUlxTzwwJ8pKSk66nZ///t9fOITX+aGr/yaxSvecML7fPnpf/Pnn36WF198hFmzKujvH+Sssy4hs7CSPVtfAuDn9+7Am5A08U8oxo038KR2zyvKBMvKK+GDX76ddwz1s/XlJ7nvzu8wNNBHQ0MjlfPOpXL+efzznw/ykY9cf8xid+MlBGT5Je0DGqAmFIpyIgMBGAoKFpVYVOSZSDk1W5SmknnwMHC8q/kDAaht1Rk1we+F3FQ7IosvxSEEuA3nTwoSGN9r4dLB5QO/T5KTIqnKs5HSye7oHNToHBC09mrUtjnnl0TPwdpSBwNRfu/Ju+9J6dQ+27DfwGNILppt4o3Adje3AfOLLQrTbV7eq/P4NoM5hRazClQHPGX8XLrzPirLtnh5r8HTOwyq85ztd1N5Hsjy2xiapGdYsLtVYyQIcwtNSrNsTEswHHRqL6UlSpZWHO7MV5gumVNg09on2NWis3qXiwS3JGzB5fPDJL2mmXJhhiQ7JUzXoHMHeSorXokzl19+Effd90fe9rYP0NDQyMKFF/PYY/9iyZJFR9wuPz8XAI/3xE2ZejpbePhvP2fVJSuZNasCgJ///LcMDY/wkRu+RsOerZy14g0q6HSGVMaTokyyZx78E//67bfG/n/eJdew9sl7uOqq13P77T84ZgeF8drXrrGhTueqs8N4VEFkRTmuvW0aG/YbXHV2KG6Lh+9pdbZUGJrEe7BIttcFXrdkNCRo7hV4XZDskwwEnG5uJZkWC0tUDZ14FAg5XeM6BzS6BgV9wwKJwONysqHSk2xSEpwMqQS3E4yypVNfpqZZoz+gkZNic15FdBTct2zY0XQ4+2npTIuUBLWgVk6Ns81aY9sBHb9Xcn6VSfIUdTEdGoX/bXFhHiy1lJogWTnryO57wbBz8eB4ATEpnblfz7BgZo49oUX+FSXWrFnzMtde+2FGRkYA+MMfbuWtbz2c2fThD3+Ota/UcvMvHz3uxf6ejmZ++vm3kujT+c/9f6a8vJTGxibOWXIFl7zto1z57pum5LnEMpXxpChRItGfBsCmTU+xaNEqqhYuY+6Si/h/P/scX/vaD/j5z7972vedn2YDOnUdGrMKTr+ttaLEs2AYNjfqpCXaUbGAnix5qTZLZ5qMhp3tWqNhCIYFPUMCAZwzw6I0y0bXnMXL/k6NLQ06D3VrZCZLclJsUl+1kNc1SPHJiGS6KGfO54biDElxhpMKFzKhe1A4WVGDgppmfaxelEuXpCQ4AcqhoCAv1eac8nBU1XvRNSdrpeBg9tNjWw0WlFhU5alznzJ+moBZBTZ5qZIXaw2e3uFi1Zww/kkOPkkJa/YYeF1wydwwbhfHzNo72UVEIWBmrnrPKwrA+eefy969L/ONb/yI3//+r3zwgzeyc+du3vzm1zEyEuC51S9RffZlxw062bbNX352Ez6PxhOP/4vcXKdT3be//VMSElO49G0fmcqnE/dU4ElRJll6dgEAgUCQmRXlrH/2AT72jd/zpuu/xF/u+DbvfvfVLF684LTu2+d2JiBbG3USPFCSqSYjivJqYQue3G5g27Cswoz0cCaV3wd+3/iOAULAjGybgjSb/Z0a7f0aO5t0TPvoyZnHkKQmSvJSbYoy7KjoDKWcOrcBeWmSvDQnECUljISgf8SpFdU/Ikj0SJZVRncWRUaS5PL5JpsbdDbVG2T6w2RE8XiV6JSaKLlodpind7h4ZqeLy+dPbub4cBB6hzVWVIVVMF9RJpDP5+XHP/4Gvb193HffQ/zf//2G//u/3wCQmp7N5dd8/Lg/+9T9d1K77WUefPCusaDThg2b+fe/H+bdn/kRXl/ilDyH6UIFnhRlkh3aDzwyMsLXv3YjH7zhJn7xtXfzuus+TWFZNbd8/zb+fd8fT/v+zyq1CFvwUq3TNrgwXU3AFQWcTKcntxsMBwWr5pqTfkU7FnlcTle/6nwb24bRsPN1IZygnROU0OgdEmxt1NncYJCRZFOSaVOWbeOKUHco5cwJAYkepwZUflpsnTd0DRaVWnT0CzbX61w8x1RdKZVT5nPDskqTx7a66BsR5KRM3ucgeLCD5UR3nVQUBYQQ/OpXP6S8vJQf//h2ANweH+euuhqP79h1mYb6e/jvXf/Hxz72fpYvP3fs60888RyJ/lTOu+SaKRn7dBJnpVUVJfpomrMyCwZDvOlNV3DvPb/HHG7ntpvfSV9PJ888/Tzr1m067fsXApaUWxRm2Ly4x6CtT82+FWV4FB7d4hoLOqmMiJPTNEjwOH98bkj2QVGGZF6RxQWzTN5ydpilM516P5vqdf670cW2A/pYUXNFmUqagIWlFp2DGk096rynnB6fyzk3HAoMTZa0RInHkBzoVksvRZkotn04y9vj8fCVr3yGurr1/OY3PyYUDPDYPb/muYf+csyffemp+wDJTTc52+mGhob5xz/u56mnnmc0MIzQ1Gd1oqnfqKJMssycIlLSMvnrX+8FYOXKZWxY/xi33HIzg31dAFx++bUMDAye9mNoApbOtMhNkTy/26BzIDom4WG1IFUiYN0+nYc2uQiZcNk8tQ1norgMKM2yWVFt8sazwpRm2uxq1nh6h0EgFOnRKdNRXqqzBXRLo4GtPubKafC6IcVn0ziJAaGQCdubdIKmOG7XUUVRTs22bTVkZFTxl7/884ivp6Wlct11b+GSSy4E4JkH/khXW+MRt5FS8uLj/+CNb7iUjIx0Vq9ey9Klr+djH/si3YOSG778qzPqPK4cmwo8Kcokc3t9XP72T/LPf/6HmppawEkJ/fjH38/f/vYb5syppqS0mKGh4TN6HF1zUsYzkiSrdxn0DEXugCklrK3VuW+dm2d2GgwEIjYUZRoKhkEiuGh2mFS1PX9SJHrgrDKLVXNNAiHBC7sNLFViTomAuYUWQ6NCZfsqp626wKapx+n+OBGkhK5BZ3vyE9sM7l/vYmezxoJik3lF6oqcokyElBSne9qNN36N3/zmT0d9/1//uoPVqx8gFBxh68tPHfG9fTs30Nq4l+uvv5Y1a17m6mtuwJ9Vynf+sJov3fpfFi67fEqew3SjAk+KMgVWvO5dZOQU8t3v/uyIr7/+9Zfwwgv/ZfOmp8jPzz3jxzF0WFFtkuyTPFtj0D8SmYl4fadGQ5dOdZ7F8Kjgsa0uats0pLoirUyyoVFo7dNI9tlkHb+jqzJB0pMky6tMeoYF+9rVlEKZeulJkrREm9o2lUqinJ7STBuQ9E3AnKm1T/DENoMnt7vY266R6JGcPcPiyrPCzCqwVS0yRZkgxcUF/Oxn3wHg5pu/z9e//sOxrXf/+tcDXHnle/jXvx7E7XYTDAwd8bPrnr6f4uIiVqxYyo9+9CsKy2bziW//hay8kil/HtOJKnGnKFPAcLlZfsW7ePTun0/6Y7l0WDnL5OkdBs/sNKakTfCr2baTUl6QZrOw1GJukcXmBp1X9hu09NosKTfxqY4uyiToHhQ8t8tACOczoEyNDL+kME1S16FRqVrbK1NMCKjItVm3z2BoFJK8kR6REmva+gUg8LnP7OqYZcOa3QYpCZILqsPkpUoVaFKU07BmzTquvvoDlJYWM2tWBX5/EklJiZx99kIuvXQlSUlOOvv73/8ONE3jxhu/xu23/4H99Y384rZbeOihx1mz5mV272tmaHCQwrLZR9x/0/4dnH/+2fT29vHii+t4+8e/h+FSi5PJpgJPijJFUjNzGB0dZXh4hMTEhEl9LLcBF842eWq70yb4glkmqQlTk25U36UxHBQsr3IW/oYOZ8+wyE9zFgaPbnFxzgyTogyV/qRMHNuGp3c6270unWeS6In0iKaX9CSb9n6VcaJERlGGzfp9kvZ+jSSvCn4qp6a2TSct0SY/9czmJVI6waeybDvmOkUqSjRJSPAxOhpk165adu2qPeJ7bo+Hyy5dyZvffAWXX34R11//dlwug0984ss8/NATPPzQEwDkFs7gm3c8Q3B0BI/38LpLSklrYy1V113K3XffjwQWnHfZVD69aUsFnhRliiSlZADQ2dlFYmLxpD+e1wUXzQ6zepfBk9sNzq80yTvDSdXJ9A4LNtXrFGVYpCUe+Vj5aZLXLQizvs5gzR4XpVkWZ5dZqtCmMiHW1+lYtmB+sepgFwlCgKV+7UqEuHRISZB0DQrKcyI9GiXWJLglQ6PaCbOTbOlc4JASJM577rW3N3QnA7ShS2NmjgqAKsrpWrRoHvX1G3nxxXUcONBMQ0MTu3fv46mnVhMKBnnoocd56KHHAadpk6Zp/PSn3+JXv/oT+/c3ALDgvCuQUh4RdAKwbQvbsujt7efPf/kn5192HcmpmVP+HKcjFXhSlCmSX1yJx+vj4x//Mv/4x+9ITvZP+mMmeGDVXJO1ewxW1xgsKLEoz7FxTWCwR0poHxC09Wns79DweyVLZhy7eKbHBedXmuzv1HilTselw+IyVWhTOX0hE/Z3aOzvdOoLDQYE2w9oWFIwp0AFNqfK0Kgg0aMiT0rkZCU7rerDpoVLzW6VU5CXarO3XedAtzhmNnZdhzNnseThSFOCW5KfZpOXZpOTLMfONdX5Fi/sdtE7LI66AKcoyvilpPh53etWHfG1l156hTvuuIvVq1+iu7sbgOeeexEAy7JZv/4xnnrqee6++37+c8+vGRnq57qPfxdNPzwZ1HWDhcuu4Lbb7sCbkMgb3/3ZqXtS05w6NSvKFEnNzOVT3/srv/nWB3jTm97Lfff9gYyM9El/XJcOy6tNNtfrbG4w2NYoqci1WVBinXHtgZAJq3cZdA1q+NyS3FSbs0pPPOkXAmZk24Qt2FRvUJRhk52sJmfKybX1CUbDzraIQEhgSxgNAwgS3JJzy8NkpUg0VVNjyvUHBClTtJ1XUY6lOt9if4fGK/t1zp6hgs7K+OWnSQrTbTbUGWQlh/EYToaTrsHuFo1NDQalWRa5B88vEqdrXUuvxt52HU1IspMlaYkSj8s5DvapwJOiTLilSxezdOlipJTs2rWXTZu28uCDj/HYY8+wevWLfPnL3+O73/0yl112IatWLefTn/4qOYUzWPWWG464n3d84hb6u9tZtPz1JKdlRejZTD9CypP3mRoYGCAlJYWf3bsdX8LkZ2koSjxrqtvJ7V9/D9lZqfzn/j9NSDe78Roahf2dOjuaNEoybc4tt9BOsxHV0ChsadBp69dYVmmSm3JqRTSlhN2t2oRnYCnxRUoIhmFbk36wa5rzJhPCmeQXZ9gUZdiqplOEPbndIMkrWTpTZTAqkVPXobFun47HgLPKLEoy1XYnZXwCIXhsqwufW+IxoHNQUJFrsbtVpzLXZuExLtZJCYOj0NKr0d6v0T8iGAkJBJIED5RlOe/BqWzwoijTzcaNW1m16m3MX3opNRtXM2d2JffccyeZmRl84AM38tIru/nGb5+K9DDjWmBkkJuunkt/fz/JycdvKa0ynhRlihXOmM1nf3QPv/zau7jiinfwve99ifnzZ1NcXIh2ulGgcUrywrwii5QEm5dqDXQNlpSf+kKxpVfwwm4DQ4NVc8KkJp76WISA6ny1KFCOLWzB2j0GrX2CQ1dH3Dp43TYFaTbziuzTDpoqE89tQMhUqWZKZM3ItslKttnSYLBun1MwOlkt+pVx8LkPdwTutZxj2a4WZ5lUnX/sDHEhINkHyT57bD5jWk6XvKYejV0tOvs7deYXmZRkqeyn6SRkQnu/oLVPY36xhdcV6RHFr4UL5zJv3hx2bXqehcuuYNem5zl/+Zu4cOV5/PehxymrWhTpISoHqYwnRYmQno5mfvPtD9C0fxcAiUlJzJldxbx51Vx55WWsXLlsUh9/X7vG+jqD5VVhCtPHPyFq7ROs3mUwI8tiYanKVlImzyObDAZGNTKSbJaUm6RMbjNI5Qy8vFenb0Rw+Xwz0kNRFEwLHt3iIivZVll4yikJhJzMufw0SeeAYGO9wfmV4dPqxGtasLZWp7lX45K5YTLVEiqu9Y/AgR6Ntj6N7kGBRJDskyydaZKump5MqpGRAN/73s/57W//TGnVQlLSs+ls3k/hzHn4Ev0ER4YprVpIQWkV6TmFpKRlH1H3STkz4814UoEnRYkgKSX9PR0076+haX8NTXU7ObB3K93tTfz7339ixYqlk/jY8MJug65BwRULwvjcJ759MAxNPRpbGnUykiQrqk1VS0eZFJYN2xp16rs0cpJtzqtUC8dot69dY0OdzlvOCeNWudRKFFi3T6d3WAVDlTPz2FaDRA8srzq991EwDP/Z4CLBI7nyLPVejDdSOvUnd7c6pSdcuiQnRZKXapObqsoATLXf/e4v3Hzz9zn/8nfQ0VzH7q1rSU9Pp6Awn507arAsZz7p9SXwoa/+jtlnXRDhEccHtdVOUWKAEILUjBxSM3KYc/aFAFhmmF998328572f5JUNj09aAXIh4Jxyk/9tcfHoFhcFaTaFGU53lpAJg6OCoVHB4Kigd1jQ0e9EmXJTnas3KuikTIZgGJ6tMegfEcwvtqjKU9sxY0F2io3EoHNAUHAKGZSKMllSEiQNnRrBsNNRVVFOR4LbKTR+ujwuqMiz2NNqsL9TUKa23MWFwVFo7NJo6NIZCAjSEm2WzjQpyrDRVRmAiLn66it55tkXaWneQnZqMp+/82dceeVleDweAoFRGhoO0NjYzC9+8Xv++auv8a3fP4c4005LyripwJOiRBndcHH9537Gl9+9hGeeWcPVV185aY/ldcGquWH2d+gc6NbY33lk2umhApnJPsniGRaF6bbap65MGtOC53YZjIQEl84zVUegGJLkAa9L0jOkUZCuMtSUyCvJtNnWqPNircH5labKxFNOSyAEyWfYsXNhsc2+dsnG/QYlGWFVnzBGBUKHgk0aPcMahibJT7M5e4ZNlv/UGuwokyMjI51/3P27Y37P5/NSXV1BdXUFmqZxzTUfpL25jtzC8ike5fSlTsOKEoVS0nNI9KfQ3Nw66Y/l98L8Yov5xRb9I9A1qOFzS5K8kkQP6sqNMiWkhLW1BgMjgovnqKBTrBECPIYkrGJOShRwCvtqSOn83dYvKD6NGj3K9BYyoXdYMCPnzDJvNQ3mFZpsbjTY3qQxv1hl8saKQAgOdGsc6NboHBRoAvJSJcvyTfLTbAxVJigmLV26GJfbzeY1/+OKt38i0sOZNlTgSVGi0J6taxke7KeoqGBKHzclAVIS1IRImXp72zWaezVWVIVVEc4YpetgqsOHEmENXU69sbAlSE2wKc60TqmBhqIc0tilIYG81DM/sFXlS3Y0w55WnXlFtsqOiWKBkFPTtLFbo3NAIATkpkiWlDuZ/yp7MvYlJSWy8oLzePbBP3LxVR/E7fFGekjTgvroKEqU6Wpr5C//91nOOecsrrrqdZEejqJMuv4R2FyvMzPHUvWBYpgunMLwihJJ6/bqpCZKzq8Mk6AK+yqnQEroHBQEw5DkhR3NOiWZE1MgWgioyrPY3mTQ3CtUMDTKWDbs7zgcbOJVwaaCNFvViYszTz65mieffA6AjS88zNJVb4vwiKYHFXhSlCgyNNDLbV95B8lJHv7859vQVCEAJc5JCS/vNUj0wsIStU8rlo2GhcpWUyKuIN2msVvnkc0uLpxtkumXHOrfrLJMlNcKW852uky/5KVancbuw3unfG7JvKKJOy/NyrfZ0SSpbdMpTFcd7qKFLWHNHoPWXkFOiuTsgzVNVbApfj333Itj/37+0b+pwNMUUYEnRYkijXu30dXexL9XP0B+fm6kh6Mok66+0ynSuWpOWNVKiGFSwnAQEj0q8KRE1nkVFs29GqYtCJlQ06yxq8U5uFwyN4zfF+EBKlHl5b0GTT1ObctASHDODJOcFJu+YUFOqsQ1geclXYdEDwyNqghotBgaha2NOq29gguqTfLS1DlsOpDy8Otct/MVQsFRtd1uCqh0CkWJIr4EPwBCqI+mMn7P79bZ1RJ77xkpYesBnaIMi6xkNdmLZYEQ2FKQ6FWvoxJZTqF70IRkw36DrY06hRk2loTNDYbaDqocYTTs/B0ICfJTbWZk2yR5oTBjYoNOhwiBasIQBboGBWt2Gzy8yUVbv8a5My0VdJpGHnv8Oc675BoS/akA7Nr8QmQHNE2ojCdFiSIJSSkAdBg/QoYAALDCSURBVHV1R3gkSixp7dVIT4zcTDZsQlu/IGQKEjySnGQ5rnbRPcOCQEhQkatWgrGuc9B5wVPPsO24okyEZZUmu1s1XDpU5tqkJkpyU2zW1hr8d6OLLL9kfrGpsp8U0hMlI0HJuTNNMpLkpG/H1DVJyBTYNuM6TyoTx7SgpVdjd6tG95CG3ys5q8yiLEt1p5tu3C4Xna31nH/5dTx+72/Z+MIjzD/3kkgPK+6pwJOiRJGsvBJS0jJ5+ukXuPDC8yM9HCUGhEynPkFh+tQHb3qHBTubNZp7NGx5eLZekGazovrk9StGQ87ffpUlE/MOdGukJ05MEV5FOVOZfkmm/8hgfFGGxO81aehyCgg/t8vFGxeFIzRCJRr0DQva+jXngknK5J+HbBuGRwUgaOwSlGarc99kGw5CW59GW7+gtU/DtARZfpsVVWHy0yY/0KhEpx/84Gbe+c6P0dnaAMDLT93He2/8CZquIpCTSQWeFCWKaLrO/KWXc9df7+XKKy/jnHMWRXpISpRr6RUIICVh6h6za1Cws1mnpVcj0SNZUGxRmGGT4IZnawx6R8Y3k/MeLNwZCAl8bjUBj1WtfYLmXsGCYrV/RIluqYmS1EQLn1uysd7JfspIsinPsack8KBEly2NOgMBwSVzp6bQ91AQwgevEe1s0SnNVgXGJ8PQKDR2azR2afSNaAgk6UmS6jyL4kybZJXpOC3ZtvPh0zSNCy44j1tv/S4f+tBNY9/fv2sj5XPOidTwpgWV5KkoUebK936OzPyZvPHK9/Cvfz0Q6eEoUa5jQGOqLtB0DQpW7zJ4cruLoVHBuTNN3rAoTFW+k+kigY5+QWaSTWO3E4yQJ1jLpSRIDE3S2qcuOcaqjn7BC7sN8lIllWrLpBIjyrJsqvKcNun9I4Jndrp4eofBcDDSI1OmSs+QoGPAOfckTVHWrc/tdG/NS7UZCAiGRqfkYaeNniHBk9sNHtrkZkeTjt8nWVZhctXZYS6dZzK3KHqDTqbljL+hS2P7AY21tTqrdxms26ezpVFnT6tGUCVoHmVoaJhQKDSu215xxTvIyKjiL3/5J93dPbzlLa+nsqpi7PubX3p8soapHCSkPNGywDEw8P/Zu+vwOMrtgePfkd24u6eNN0lTd6WlheLQ4g4X5+J6cfsBhV6ci7tdnKKl1N3b1JumcXdPdmfm98e2gV7q3exukvfzPDy06WbmrM+cOee8Dfj5+THrq82dw48FQeg6Fks7n758PyvmfsVtt13HAw/chiyGAQj/o6IeFu8wochw5pC/H5FszJfZWaYwNsVCuP+x7cMwbPObthYrVDbI+HoYpEZqxIfoyAfIFy3arlJS++drNdzP1nanHOTlu3yXQl2LxMlZ4spvd6IbsKVIYWuRTIivwbhUq5iRIXRLhmGrHF27R0U34NSBYoXN3uDHdSaa2iXSozUyojWHtly1tMMP60zEBOqMThGVosfLYoXcSplNBQq+HgYpETpRgXqXDIe3F92wJZrK623tntWNUufIAjeTgY+7gVmBNiu0WSTaLbaE+ZC+4vXyVwEBSYwcOYSff/7sgP+u6zrff/8rI0YMZuLEsykvr+j8t7S0FMBg27adnT978dsdYnW7Y9Da0sjt0zOor6/H19f3oLcTrXaC4IJMJjcuve05IuOSeeGF/yM3N5+3356Fqoq3bG/WboEdJTJ5VTKtln3VRBIWzSCvEuJD/rzt9hKZbSUqYLBgm4n+MVb6RR/5VV3DgKIaW8Kpttk2v2dMsoWowEPPRBibYqWmScKkGjS12VaNWbRdJStWI9D77/v3cqPzqrPQPTS1wfJdKjVNtpO2ftEHTkIKQncgSRAVaODpZuW3TSZ+XG/C18P2ORfhr5MYJgYP90QxwTrbimUSwxybdALwdANVhppmGRCJhGNV3wK7yhTyKmU0HfqE6gyK11zy/WoY0NhmmzdVXi9T0SBh0SRMikGor8HAeNsxko+7gfkAh/ordilUNYov2gNZvnzN337W0dHBt9/+wu7de5g581UAzG5uTDz9Ciafcw27slewcfkc1i/9Zb/fm/v1G0y78BaHxN0bibNYQXBRkiRx4jnXEhIRz1v/dz333PM4zz33CJKYhNjrrMpRKKyR9y7BLGFratvfihwTqmIlOtCgrQM25Ct4mHWm9rfy60YTmwpV6lt0RiQd/iBb02HVboX8KoVQX50JaRbC/I5sCKckQZCPLT5fD4OxqVZW56rMyTYR6K0T7G3g72XgbjJos0jsqbRVUQndg0WDRdtNaDpMyrAS7COeO6FnCPAymNjPQmG17bPWoklszFfIKVOYmmVx6eoJ4ejZFrWQnDZcWlVsK9wJR2dfheKOUoWKBhl3k0FKpE5CqIanCy1uYdHApNgWUckpl8mtUGjpkJAlgyAfW+V4uJ9BgLdxRBduapplQn1FO/vBrF69fr+5uM888wqzZr2Om/ufvZVpgyYwYPRJBIZEMvyEsxl+wtls37CEF++/CEU1oVktzP54FqOmno9/UJgz7kaPJxJPguDiBoyayoU3PcW7L95DTEwkt956rbNDEhyssc12ZQwMRid3EBNk+3lTG5TVy4T56szJNrFkh0qor0Hl3gqiCWlW3E1wxmAL87ao5Fcr1LZITMk8eFuUbsDCbSrVjRKjkqzEBh/fgU64v8EpAy0U10gUVsuU1snsLANbAg2CfXSGJ4g2u+5i3R6Flg6Ykmlx2VkZgnCswvwMwvz+rECpb5GYs0llS5FCVqzjK2OErtHaARvzFSL89c5FLhyprQPaLBDmKxJPR6O5HdbkqpTWyQR564xItBITpB+0ld9ZDAMWbFVpt0q0tNsuyMUH60QH6oT4GsdUkWUYB7rkKEycOIb585dw6qmXcPnl5zJt2mQWLVrBiy++ySkX3sopF91KRfEeWprq6ZP69wWbUgeM4cHXf8dkduOdp28kf1c2X77xKP+4/zUn3JueTySeBKEbGD31fGoqinn00eeIiopgxozTnR2S4EDjU638uEEl2NvoTDoBeLtDorstMXTKAAt/bFGpaJAwKZAVa+lc6U6SbNUpO0ok1uer/LLRxCkDLQe8ylZYLVPRIDOxn8VuqzzJkm0p85ggDdBs1QRWMKu4ZEm8cGBWDQqqZDJiNJF0EnoFP0+DftEa2YUqja0SA+Ks+IjXfreXWyGjGTA80TkXPTYX2b74suJEm92RMAxb1dDGfAWTCmNTbG3/riw1UqOiQcbH3SAuWMftOBOc4f46+VUyKRHi+/ev4uNjCI2IZcSU8/jks7d4882PAJh89j+Yeu711FeXU1GyhzULf2DxL58QFp1AQr8hJO5dvc4wDDy9fPEJCObKe17h4avHs27JT+TvyiYuKdOZd61HEoknQegmTr34dmoqS7jhxnuJjAxn9Ohhzg5JcBBVhSBvqGqSabdoBzyAcTfDKQMPfRCdEmngYbaybJfKyhyZkUl/r2ZqbAV3k9GlS4ubFETbSjdUVCOjGRJRgaLcX+g90qN1fD0srN2j8tMGM74eBpEBtlXxPMzOjk44Fppum5HorNl01U0SJtn2f083106gOJtuwJpchdwKhcQwjaxYDZOLn71K+11ss4/0aI3yepn5W02c1N9y3ImsnqK5uYWK0gLmf/f2fj+f+81bzP3mrc6/J6ck4enpwe/LfubH9g5e+GYb29Yv5sePnyd/12ZiE9JJyBiOh7cvrU0NzLp7Oi98s12MN7EzF3/rCoKwjyRJXPzPp6kqzeOuux5jyZIfxEp3vcjgPlZmrzNRVCOTEHbsJ/6xwQYF1Tr5VQoJYbahln8lSaKcW/i7tg5Yn6cQHei6y1ELQleJCTII97dQXidRXCuTWyGzu1xmRKLV5SsvhP3tLpfZViwjy3D4db27xvhUK3M2m9hVphAT1DtbzWubJbzdjMMmkQqrJHIrFIb0sZIY3nsveribYEKahR/Wmckpl0mP7r2PxV89+ujdnHDCWAoLi2ltbSMqKpyAAH+sVisWi4XAwAASE/uQkBCPJEnMmbOA8877Bx/MuoPVC75n+PAh3PnyU9x556NYrVZamxoA6GhvY/WC7xk28Uzn3sEeRiSeBKEbUVQTZ15xH8/fNZ3zL7iWt958Hj+/gy9bKfQcnm6gyLZ2p+M1KknjuzUyS3cqjE7WCPH5c3C4gfMOxgXX1G6BRTtshwtD+vbOkyRBMCkQHWQQHaTRbtFYulNlfZ5KgJcFTzfb56am2z6nxUVy15VbIePjYWvXclbViIHtczXxOC4idVetHVDZILN8l4K/l8HEfta/reKm61BcK7G7XKGsXiYmUKNPaO97rP6qvF5iRY7tgXKlIerOFh4eynnnnXHEt7fuPYjesWEp5557Bv/5z0wkSWLu3MVs3lWx323fm3mLSDzZmUg8CUI3k9BvCDc++j7vzbyF00+/lHnzvkZRRN9Sb6AoYLHDsZcsw0lZFtbkqszbYsKsGoT4GAR66+RXKgR5i8yTYNPaYRuS2maRGL93WL0g9HZuJlvry8JtKj+sMyNLBrphyzapsoGPh0H/WI0If/FZ6ioqGyS2FClUN8n0i9KcOqtrW7GCLPW+xFNJrcSi7bYvkQh/neomiQVbVYYnWvF2h+pGiZI6mbxKmTaL1Ln4iCsOEHe0/CqZ1g6JMcmuP9/KlW3fvgtPb180zUJqalJnK93AgRn89vtrPPvZBnTNwtJfP2PHpmV0tLVidhdl3vYiEk+C0A2lD5nADY+8y8w7zuabb34Sw8Z7CTfVoLXdPpfSPd1gbKqVigaJigaZigaJ7SUKigz9osTAU8FWwbEix7Yyz6QMsYqdIPxVmJ/BmUMslNXJtFttlU6yZFutrKRWZvF2ldMGWcQcKBdQXi8xf6uKv6fBqCRbIsOZimtl+oTof6v06cnaLbB8l4qPu0FWrJXIQIO6ZomlO1V+2WhGwsBAwk01iA3WSQjT8fcUCZZ9ogJ09lTIrN6jUtGokxWr9fpk3LEoK6ugZW87XVxcdOfPPTzcsXZ04O7picnkxrQLb2H2x7O45exUXvspT8x6spNe9JEnCD1L37TB9B8+mYcenonZbOLUU6eIyqceLirAYGeZzIB4zS7DuSXp78uHC8I+u8tlyutlxqeJpJMgHIhZhdjgvycxYoN0flhnpqpRIiZInDw725pclVBfW1uXs88fDcM2M8/LvXe9LrYVKxgGTMqwdFbOBnobTBtgoaRWot0iEehtEOBlOP05ckVRgQYnZlopqJbZWSpT2yQxNvXvbYrCobW1tQEQHx/H2LEjOn++bNka4pL7YzL9vY+xtqqUwJBIh8XYk4lcqSB0YzOufRj/sL5cfvk/GT5iGr/9Nt/ZIQldKMxPx9fDoN3i7EiEnk7TYVOhQp8Q0S4kCEfLujcXVVgtYxFj0ZxO021JDldIaEgSeJihrtkFgnGQ2maJnWUyqZHa39q1Fdk2vD8xXHeZ58hVBXobDIjTmNjPSn2rrVpMF1/PR+XBB+/gq6/eZcmSHwgJCULTNGbOfIUff5xDv8ET9rtt6oAxAFQU73FCpD2TSDwJQjcWHB7LLU99xt2zvsPsE8XFF9/AH38sdnZYQhdp7ZCobZZxE1e4hC5WXCvRYZVIE22XgnDUfNxtrTFFNTK/ZZtobnd2RL2XYYBJNWhxoecgNtj22ujpDAOyCxQWblPx8zRIjexdM626SoivwehkKxX1EtkFotMBwDAMSkrK0LRDH7OEhAQxadJYvLw8KSws4dRTL+Hpp19m6nk3MfXcG/a7bepAW+KpsiSvq8LudXr+p54g9AJ9Ugdy42PvkzZoPJdeehNr1mxwdkhCF2i1gEkxUMVxhtCFDAN2lSkEeeuixU4QjoEk2WbonTzAgm7A4u0qHXaqfNINqGmSyK2QKamVaO2wz3Z7qrJ6ifoWmfgQ10l6eLoZWDSpx1er7KmU2VIsE+6vMy7VKo5d7CjMzyArTmNbiUJhdc8vE3v33U8JCEji+uvvpqCg6G///uyzr5CePpYRI0+hsLDksNubO3cRY8aexq7cYm59+gtOu/h2FGX/q7r7/m61ig9ZexGJJ0HoIRRF5ep7XyUiPo2TT76Aa6+7i+zsbc4OS7AjP0/bwWpDa88/yBCcZ0+lTGWDTHq0qHYShOPh4w7jUq00t0v8tN7EzlIZ7QjyH4YBLe3sl1SyWGHdHoVvVpmYk21i1W6VRdtNzF5nYk+lOJw/kNJaiSU7VEJ8dZdqGc4tl/H31OnJ3+SbC2VW59pWyR2RqIkh+10gJUInJkhjZY5KfYuzo+laEyeOBuDzz78lK2siw4adxMMPP8t33/3Cm29+xAcffklkXApFRaV8/fXsQ27r669/5IILriUuZQj3vfwrSRnDDni7ytJ8ALx8Aux7Z3oxyTCMw34SNzQ04Ofnx6yvNuPh6eOIuARBOEbtbS0s+fUz5n//DrWVpXz77fuMGzfS2WEJdqDpMHudicgAnWEJIikg2F9LO/yy0URUoM6IRPEaEwR7aGmH7EKFvEoZRYZwf4PIAJ2oAB23/5l502GFeVtU6lpkJMmgT4hOQqhOQbXMjlKFflEaEf46AV4GbRbYUqSwp1LBw2Tg72Wg7x1e3WaR8PM0iA7UiQrU8fr7zNwerbpRYu4WlQh/20p2zq62aW6HvEqZxjaJvEoFf0+dk7J65gCw3AqZVbtV/Dx0hvTVCPF1naRfT2PRYG62im5InJRl6dEr3eXk7OGmm+9n5Yo1f/u3PilZXPTPZ/nhw2fZtPIPhgwdSJ/4GCZMGMWECaOJiAhD13XeeedT7r33cYZNPItLbpv5tyqnv7r5jCSslg7ufO5rEvoN6cq71u21tjRy+/QM6uvr8fX1PejtROJJEHooTbPywr3n4W3uYP68r50djmAnW4pkdpcrTBtgcfqBtNCzWDWYv1WluV1i2gCLWC1HEOysodU2cLykVqa6SUKRIC5EJz1ao7ldwmKF3AqFigaJYQm2SqntJQptFlttTGyQxqjk/RPChgEldRLVjTJ1LbZtupsN3FSDqkaZigYJ3ZCID9EYHK9h6iXv66U7FeqaZU4eYEF2cmlRczv8tN6EYdgGRLuZIDVSI7QHJmQ6rLYLZOLiheNUNUrM3WzixAwLQT497zX1v6qqqpk9ew7ffPMzS5asACBjyASGjD+DmMQMvn7rcbz9gqgo3k3+rmwMw8DH1xeTqlJTU8PE069g+jUPIcsHz9J1tLdxy1kpALzyQw6KajrobYUjTzz1kq8fQeh9FEVFUc2EhR38A0DofoJ9DLILJZraJfw9e/4BhuAYugHLd6nUtUic0E8s0SwIXcHXA9KjddKjddo6ILdSZmepQm7Fn1cRZMlgVLKV6EADMEiO0KlulLDqHDBRIUkQFWAQFXCgk3ydDisUVMlsKFCobJAZlWTt8Senmg5FNTJZsZrTk04A+VUyuiFxYqaFIO+e/dhvK1HQDciKFUknR9l3LFjfKvX49zZAcHAQV1xxAVdccQHl5ZV8//2vfPPNz7z//G1Ex6dw3cPvEBQWA0BTfQ05W1ZRXpRLa0sTA0edRFxy/8PuY9u6RQAEhkaJpJMdiUNLQejBqkrzGDNkorPDEOxo3zBSk9LzDy4ExzAM2+yYklqJsak9/6RUEFyBuxn6RenEBOlsK1YI9TXw8TBwNxn7tcXJEsfVqmRWITFcJ9xfZ/kulbmbVZLCdZLCNXx66OIBsmQbYiu5QNJp3R6FnWUKKRFaj086NbfDzlKZ5AhdzHRyoH3tdYfvYep5wsJCuOaaS7jmmkv46affufjiG/jty/9w4U1PAuDtF8iAUScd0bYMw+DXL17hhw+f6/zZyeff3CVx91Yi8SQIPdjgcafz/vtvkZ9fxDnnnMIpp5yIj4+3s8MSjoNl70VEk2izE+ykpE4ip1xhaF8rkQG98MhVEJzIxx2HzOzzdodJ6Va2ldhmRe0sUwjz0/EwG0iAt7tBsI9BiK/hElVCx8tsgpZ2596RigaJnWUKA+OsJEe4zqp6XcGqwZIdKm4qpEWKaidH2pdw6gnv24PRdf3QrXEdHfzf/71MaEQs0y745xFt0zAMdmWv4JOX78fbN4BLbpu5X9Jp0llXM3rq+ccdu/AnkXgShB7s1ItvIyAkknWLZnP99XcTGhbKhx+8zPDhg5wdmnCMLFbbkYWY7yTYg2HA5kKFEB+dvqE9+8RIEHo7Wba1+qVG6hRUyeRXyTS1SRiGrTXNokn4e+oMiNfw8zCoaZZwV+l2VZAF1TKtHRKRAc79TKtrlpAwSIrQXaL6qqtYrLAiR6WxVWJShmjVdjjJVgVf3iDh5WZrt+tJQ8bb2tqJiMggIiKMdev+wN397yslfPrpN2zbvpN7X5iNf1DYYbe5dd0iXn7gks6/VxRDeHQCj769EC8ff7x8/O15F4S9xEeDIPRgJrM7E067jAmnXUZVWQHvzbyFK6+6jQ3r52IyiZ7l7siqgSr3jCvSgvOV10vUNstM7Gfp0SdGgiD8SZGhT6hOn78kmw3DNqR4Y4HCgq37Hx9MSLMQ7u/6ySeLFTYXKewsk4kK0Anzc27M+xJ2K3YpjEhyjXlTx8IwoLpJIrdCpsMqEeprW2XRotnaRTcWKHRYYGSylQAv13+d9DSyBMkROluKFPIqFdxNBiekW/DtIa20+xJNpaXl9E0Yytzfv6Jfv+TOf29ra+fHH38nKi6ZmIT0I9rmxuVzAAiLTuAf971GVJ9UAEIj4+0bvLCfHpQPFQThUILDYxk99XxKiktoaWlzdjjCMbJoos1OsJ+OvR0R4mRBEHo3ae8sqUnpVsalWhidbGFMsgWwVUq5urYO+C3bRE65TGaMxqhkq7NDIsjbNii+sEZm+S4FrRsWleoGrM5VmLvZRHm9TJsF1uWpVDXK1LfILN+l4u1mcFKWhSgXbNUuqpH4do2pc0xBT5UerXHKgA6m9rddRNpR0rMOFPPz1wHQ2tLK6NGn8Prr71FSUsbnn3/HkCFTWLBgGSec9Y8j3t4FNz7B6z/n88ib8zqTTkLXExVPgtCL7Nm+npSUZPz8fJwdinCMLJok2uwEu/HYW9jQ2iFhVl3vpEEQBMeSJDpnvbVZQJEM1uYqDE3QCHbhlrudZQot7XBylsWlhqbHBBmMxsqyXSpzN0uMSrbi4+7sqI5cSa1EboVtBuC+duzaZgkPs0GHVUKWDbzdXGOQ+4FUNcp0WHv2/COw3T/b697Ay81Ac9236jHx9fVhwYLvOOWUi2hubub++5/i/vufAsAvMJQTzryKwt1bWDX/W8oKduEbEMIZl91D2qCxTo5c+KtucA1DEAR7qSjOJSkp3tlhCMfBACSphx1RCE7TaitowN0kXlOCIOzP3QQT+llRFViwTaW1w9kRHZhh2JIhsoxLJZ32iQ4ymJxhxWKV+G2TiYKq7nH61dwOa/eoBHnrJITZ5lRJEgR6G3iYwc/TwMfddZNO+VUyO0pk0qO1HjXz6FAMAxpbJTx74KqCWVnprFkzhzPOnLbfz+trKvjj27fYs2kefSLcueLSswj2U3jpgYtZ8cc3vPbIlVw/LY7tG5Y4KXJhH1HxJAi9SGxSf1Yv+wHDMJBc9UhBOCR3k0FLu0y7BdzEmC7hONW3yLibDPFaEgThgEJ8DcanWfl+rYkN+QrDElzrJL60TmJTgUJts0z/WOe31x1MoLfB1P4WVucqLNulUtGgMSBOc9kK5nYLLNxmQpZgTIrrPq4HYhiwrURmU4FKfLBGv6hu2ON4jBrboN0qEeLTM+9zeHgo77/3Isa7L1BSUsb27TmEhgaRlJTQOQvKarWybt0mvH38+fTle7F0tAMQl9TfmaELiMSTIPQq/QaNZ+43b7F1607S01OcHY5wDPqG6mwpVNhVJpMR0zMPLATHaWgFXw9R7SQIwsGZVRjcR2NNrkJds0S/aJ2YQN3ps592l8uszlUI8TGY2M/i9GHih2NSYWSSRqifwfo9CsU1MukxGn1DdWTJNk+ppEZiZ5lCbbOEVbe1UKkyRAfp9I/RHHKRwKrBou0q7RaYlGHBo5tVz6zdo5BTrpAerZERrblsRVZXaGyz3VmfHv69LkkSUVERREVF7PfzxsYmrrzqVhYvXommWTtv+8I32zG7daMe1x5KJJ4EoRfx9PYDoKWlxcmRCMfK3QQJ4TrbShRiggz8PHv2wYXQteqaZcL9RAJTEIRD6xuqE+hlsC5PYfkulQ1mg6xYjfgQ53x+tHbApkKFmCCdUUndJ7kgSZAYphPmp5NdoLAmV2VrsYEqg0kxqG6SkSUDHw8DD5NBu0WiqV1id7nC7nKZIG+D4QlWfD27Jr59Saf6FomJ/azdbmW0miaJnHKFQfFWkiN633eb/95jwvoWCW/37nV8qOs6ra1teHkd+Yu7urqGmTNfZc3abPLzi6irrcVkdu9MOkX1SeP+l35CVly0tLCXEYknQehFGuurAAgPD3NyJMLx6B+jUV4nsWSHypRMCybxSS4cg7YO29XRjJjudXAqCIJz+HsZnJBupa5ZYnORwsocBTeTQYS/Yz9DGlvh100mMCA1Qu82Sae/8nGHUckaac06u8tlZBn8PAwG99EI8DL+dp/qW2BDvkJpnczPG00E7k1A+dkxAWXVYOF2ldomifFpVoJcdJh8VaPErjKZ/rEaXm77/1tJrYRJMYhzUkLU2TzN4OVmsLVYIczP6rKtnAfy/POv8dRTL7J9+zLCwkIAWLFiLW+88SHBwYF4eXnS0dFBe3tH5/+3bt1Jzu58fANC6TfsJMJjEvnvfx4GID5lAHc9/y2ys0szhU7idEUQepGA4EgAiotLiYmJdHI0wrFSFdvMhTnZJlbuVhmdbO2WB96Cc1U02A7GQn175wG6IAjHxt/LYFSylcXbVZbvUjlriMWh30F5lQqyBNMGdr82sP8V4GUwpK922Nv5ecL4NI2Wdo0VOSoVDRK/bDQR5G2bwWU+zjM6iwaLtqnUNtuSTiG+rpl0AlusFfUyS3dKnJix//FPTJDB1mL4ZYOJrDiN+ODumZg8VpIEo5KszN+qsmyXytiU7nN8mJ9fBMAbb3zIgw/ezptvfsgDDzxNSEQ8iqpg6WhDUc2oJjPq3v+bPMLJGJrI2sU/UvnTR5jMtnY6RTVxx7NfiqSTixGJJ0HoRWoqigGIjBQVT92djwcMT7SyZIeJHaUyqZEieSAcnYoGCR93o9ufuAmC4HiyBDFBOqV1jj+VqG2RCPbpnZ9dnm7srTqDFTkq1U0S368xkR6jEeBp0G6V6LBChwZuKkT463gfZrRNZ9KpRWJCPyvBLlrptE+Ev8HQBCuLtpuobZYI9P4zXj9Pg2kDLGwsUFiZo1JSq5EZo3W7lsHjEeRjMDzRytKdJqqbJJd/PvcJCgoE4OVX3uHbb38hLy+fSWdexVlX3oeiHny4ma7rjJpyLu8/fztNDTUAPPf5BlRTL/yAcHEiDSgIvUhLcz0A50y/mj/+WNzl+3v33U/p33887777aZfvqzeKDjRICtfYUqSgOSHvJJ7f7q2iQSb0EPOdxPPbs4nnt+dy1HO7r5DCcviCHbtqbgNvt+5xMt0V3n33U8aNHE/J2g+Z2M+Cp5tBfpXMwu0mVuSobMhXyClTWJ+n8ON6M3M2qTS3H3hbFutfkk5prp902sdzb4tdS8ff/83bHUYna5yQbqHDIvF7tomi6m5S9oN93r9RAQayZFDR0H3ud3CwLfE0+exriE0fx82Pf8j0ax46ZNIJQJZl+g0ez7OfruXFb7fz2k95uHt6OyJk4ShJhmEc9hOmoaEBPz8/Zn21GQ9PH0fEJQhCFzAMg5zNq/j5sxfJ2bySp59+gBNPHI8sK9TU1FBTU0dNTR0WixU/Px/Cw0PJzExDOcahfP37j6ewsISYmEg2bVpo53sjANQ2wR9bTIxMshIV6NgDRvH8dl+tHfD9WjOjkqzEBh84+SSe355NPL89l6Oe2+Z2+HGdiSF9NRLCHHP1w6rBt2tMZMZovbbS90DPb7sVNM22AqEi21quLBqU10msy1fBgPFp1v0WJKlokFiZo9Jhtf1bd0k66QYs3WGr9jptkAXlEGUUFius3K1SVCMT4a/TJ0TH18O2MIurtqDZ4/3b3A6z15kxKQYnZ1k6E3WuKjt7G9ffcA9bNm/jynteZuj4050dknAUWlsauX16BvX19fj6+h70dqLiSRB6EUmSSMoczk2Pf8iwE87mzjsfIStrIpmZ4xg//kzOOutyrrrqVq677k4uuOBaJk48i6SkkVx99W188cX35Obm09jYhGEYlJaWs3TpKhoaGg+6v1tvvZaYmEhuvfVaB97L3sXXw3aAuWSnyq4yicNfSrAf8fx2X+X1tq//kEPMdxLPb88mnt+ey1HPrZcbhPsb7CqT0R3w3WMYsK1YwTAgKrB3Jp3gwM+vm2qrAlIVOhMqJgWigwwmp1swKQa/bbJVQ9U2S2zMV5i3RcXDbDC1v6X7JJ10WL5LoaRWYnAf6yGTTgAmFUYnWxmRaKW1A5btUvl1k4kF21SsDq7UO1L2eP96ucGIRCuyDGtyXXeyTmtrG/fc8xjjx59BdV071z7wBkPGnebssIQuIiqeBKEXqywtoLJkD4Zh4OUbgJdPAN6+/iiqmdbmBqpK89mydiFb1y4gf1d25++pqorValuq1MvLi3PPPZ2rrrqI9PQUZ92VXq3VAnOzVZrbZdxNBsMSrEQGdI+DSME5luxQaemAKZlWZ4ciCEI3VtUo8cdmlcxYjX5RXZMMMgzYVSaztVihzSKRFqmRFeeiWQMXpemwrVhmW4mCpktIktFZNSa7aOXP/7JYbXOtSuskRiVbiT7KKm/DgA6rrdJr2U6VwX01Eh1UqecsuRUyq3arTBvQ4XJzrrKzt3H1P+5gz54Czrjsbiacdtlh2+oE13SkFU8i8SQIwhGpr6mgtGAXjXVVNDXUEBAcSVBYFBuX/87S3z6jrrqcUaOG8cgjdzJ06EBnh9vrGAbsLJXZWKCgGxKpkVYGxPXsAyrh2OxrVUmP7roTRUEQeo+NBQrbS2ROzLDuN+jZXsrqJBZsM9EnRCM2WCfcz3XbpFydpkNlg4SH2cDP09nRHLnmdlt7nSJDWpR23BfX1ufJVDTInJBuxXRs0yS6BU2HH9aZCPExXGYFZIvFwsMPz+TNNz8kMi6Zy+96ici4ZGeHJRyHI008uW7tnSAILsUvMBS/wNC//TwmIYOTz7+JDcvn8NsXrzBlyrmcccbJPP74vcTERDoh0t5JkiAlUic+ROe7NSZ2lCpkxfauZYSFI7OzTEbTJaJ7cauKIAj2kxGtUV4nsWCbSkKoToCXQbi/jtkOZxm6ATvLFMyqwbAETXynHSdFtrVH2oth2JJCVk3C36trKq1LaiVW5KioMoxKts8sqqRwnZxyhU35CoP79tzqOUWGwX2sLNtp4o8tKhP7Hb49sStZrVYuueQm5s5dxGmX3sUJZ1yByXyYZReFHkMkngRBOG6KamLw2FMYOOokVs7/lh/ef4ZrrrmTX34RqyU5UpvF1svv42EQ7COuCAsHtqtUITaody0vLQhC11Fk23DqVbtVcitk2q0SqmJr5UoKP/ZWrqY2WLVbpbJBYkyqa1Rr9DatHVDXLKEZoOkSmg4t7dDQKtHQKtHYKqEZEgFeOlP727d1Wzcgu0BhW4lCZIDO8AQrbnbqxPJ2h6xYjXV5KjHBOqG+PXc8QWyQAUlWlu1S2FMhkxjuvItOjzzyHL/PXcj1D71DxtCJTotDcA6ReBIEwW5kRWHk5OlIksQHz99OdvY2MjPTnB1Wr1BQLbF27wDJwX2sxAb33IMo4fh0aBDUTQbJCoLQPbiZYGyqLfHQ3G4bAr4+TyG3XGZgH40w36O7GNLaAb9tMmFSYEI/K2F+4jPL0do6bKsWasb+T5ybycDX3SDI26BPqI6vu4Gvp32fH02HFbsUimpksmKtpEbav4I7KVynoFpnVY7KSVkW1B7cchcbrFNUI7G9VCEhzLHV8IsWLae+voHm5lZeffUdZlzzsEg69VIi8SQIgt1ljZxCWFQ8J5xwNpdcMoMzzzyZ4cMH4ebm4uu5dlPZhQpbihSiA3WG9LXiLmYzCgeh771q3ZNnWgiC4FxebjCkr0bfUJ21exQWbDUR4KWTGKbj72ng72Uctt0np8y2et3U/ha7VbkIR8YwYE+lTG2TrZop2EdnbIpthTRZwiGtWnsqZKoaZcanWe3aGvhXkgTDEqz8ttFEdqHCwPie23IHEB+iU1Ct0NAq4WfnROGhnHHGpQD4+PoybOJZTDzjCoftW3AtIvEkCL1Ye1sLP348i+K87Zxx2T3EJWUe8HazP57Fz5++SNqgsSRljiCl/0iCI+Io2JWNpaONAaNOQvrL5RMPTx/+9epvzPvuXb79/j3ee+8zPD09GTtuBJMnjWPy5LHEx8diGAbt7R20tLTQ0WEhLCxkv+0Ih7e1WGZLkUL/WCtpXXBFUOhZZAlkyXDZZaQFQeg5Ar0NJmdYKauX2FGisHpvVa6n2WBsqpWAQ8wE8jAbWHWJ1g4JN5OodnIU3YD1eQq7yhTMikGAl86geM2hyb+mNthSrBDobXRZ0mkfXw/IjNXYkK8QE6TbZX6UqwrzM1Blg6Iaxyae9mlsaGDiGVeI4/xeTCSeBKEX+/GTfzP3m7cA2LZuMaddfDu/f/Mmvv5BtDTWE9knlTMuu5v6qjIA3PQ65n75Kj98MHO/7Vz7wJsMGDV1v5+ZzO5MPfcGTpx+HcV7trF17UK2rlvIvfc+gaZZ8fLyoq2tDU378wzY28eHyZPG8cYbz2I2m7v43nd/VY0SmwpUsTqZcFRMClhE4kkQBAeQJIjwN4jwt9Jhtc0GWrVbZckOlT4hGikROqa/nI1UNUrsKpMprZORJANZ7rmJAFfT0g4rclQqGmT6hmoM7euYYe66DsW1El5uUNEgsblIwd1kGxvgCMkROgXVMhvzFYYnWvHuobOu9w2WL6mVSY92zjFjbEKGU/YruAaReBKEXmzyWVcTFtWX6vIizG7uzPnqP7S1NHHGaZNJSurLE0/MYuYdZ3PdQ2+zcv63ZGdvRZb3r7FOSBtEXHL/g+5DlmViEtKJSUhn6rk30NrSyI4Ny6gqy8fs5ombhydu7p5Ikkzxnm3M/uwl+vSJ4aGH7ujqu9+t6TqszlUI9NJJjxZZBOHI2RJP4oqjIAiOZVYh2MdgdLKFtXtUNhep5FfZqmqig3Qi/Q0WbFWx6hJpkRpxwbpYBMFBLFZYl2dLOg3pY3XYAOrWDli6U6Wqcd+xpUFimE7/WM0uqyIeCVmCMSlWfllv4qcNJob1tdIntGcmPKMCdVbmqLR2gIcDru/u2pXb+ee0gWORFdHn35uJxJMg9GJ+gWGMOemCzr+PnDyDmXecybx5S8nZnY+iKCT0G0rawLE88d4S1i35GUM3CI9JICw6gYCQyL8log7Hw9Pnb9VR+2SNnIKsqLzwwkwmTRrD6NHDj+v+9WQ55TINLRInZlqPecUgoXeSJNvgVkEQBGfw84QT0q1U1EvklMs0t0ss22licB8rQT4GVs0gK05cUHEUXYffN6s0tMoMiHNc0qmtA37fbMLQYWI/C5IEfh6GU2Z6eZphbJqVeVtMrNxtYlOhwfg0C/6ejo+lK0X668iSwYZ8hRGJx17RlpOzh0WLlrNw4XJWrd6AxWJFVRUUWUFRFVRVRVUU6uvrO3/n5PNvttO9ELoryTCMw6Z0Gxoa8PPzY9ZXm/Hw9HFEXIIgOEllaT7zf3ifpvpq4pMHMPaUizCZHDcUXNc0XvzXhTRXF7Bp0/yjTmz1Fqt2K9Q0SZyU5ZhSdKFnaGmHH9aZGZFoJT5EZJ8EQXANi7erNLfbVtysbJCYNkB8tzlKTZPEnGwT41MtRAQ4ptJH02HeFpXmdokTMy14ucDaM9VNEm0dtsHqRTUyqgwnDbDg7QKx2VN+lczyXQrJ4ToD448u+bRjRw7/euBp/pi7EEVR6ZM6gIR+w3Dz8ETXdXTNiqZp6JoVXdfQNY1hE88kLjlLzHbqwVpbGrl9egb19fX4+voe9Hai4kkQhP2ERMRx7rUPO23/sqKQNWIq33/wNEeQF++1PN0MimtFUk44OiW1MhIGkQEi6SQIgutIi9KYu1mlsU0iNkh8PjnSvlXqHJUXMAxYmaNQ1yxxQobVJZJOAEHetmPOqECN/CpbS9ovG0xMybTg14Mqn+KCdTqssHaPilk1SI8+/MI01dU1PP30y7z33mcEhkZx5d0vkTlsEu6e3o4JWugRROJJEASXU16ci6enB7/+Oo9XXnmPPXkFBAUFMm7sMC66aDoZGanODtHp3FTosDg7CqE7MQzIr5YJ8TUcNjtDEAThSFg0cDfZVlXrHyva7Byltlli7R4FN9U45CqD9qIbsG6PQkG1wqhkS2eyx9XEBRsEe1uYk23it00mpg2w9Kih40nhOh1WK9mFKs3tGkP6ap0JyL+yWq288caHPPPsq2iawemX3c3EM65waCeE0HOIy+WCILicpIzhmNx9ufjiG1i7bhMDx8/AP6o/n/33ZyZMOJP//Of9Xl8NpekgZjQKRyO7UKGyQSIlQpzUCYLgOkpqJRZuM+HnaXBihsUhQ48FKK2TmLNJpc0iMSrZ2uWzlawaLNmhsrtcZmhfK7FBrn0cJ8uQEqmhG7Boe8+7WpMerTM80Up+lcxPG0zsLpf566F1XV09M2ZczUMPPcOAMafz8FsLmDL9OpF0Eo5Zz3sXCYLQ7Q0ZfxpDxp9GZWk+He1tRMWnAKBpVr5772nuu+9J1q3fzMxnH8bPr3fOnatvkfAyu/ZBm+A6citkthYrDIizEhUoXjeCILiOfSuapUdp+IhV7BxmS5FCsK/BxDQrXT1Os7XDNseroVViXJqVCH/X+x6yWG1VwW0dgAQYtpXfYoN0apsl1uQqDIjTUHvQRb8+ITqBXjqbixRW56rUNWsM7qvR2NjEqadeQl5BKTc/8TGpA0Y7O1ShBxCJJ0EQXFZIRNx+f1cUlXOufoDYxEw+eekefv11PjdcfxnXX385fn4HH2bX02g6lNTJxAeLORg9kVXDrge2tc0Sq3MVEsI0UiLEa0Y4NE2HykaJ8jqZ5nYwAMOQ8HE3iA7UCfJxvRNGoXtTFdtrqkPME3cYw7C1N0YGGF2adDIM27Du9XkKqgyTMqwOaek7FiYVEsP+/h2ZEAa7ymQ25CuU18uMSLT2qM9BP08YnayxrdhgY4FKSkQ7l19xC3vyirh95tedF38F4XiJVjtBELqdoRPO4JG3FjJk4nT+/cJbZGRO4OOPv+w17Xe7y2U6LJAYJlqmeprCaonZ602022l+l27YVkD0dTcYdJSr1whdK7dCprhWwhU+tgwDimskFm5T+WaViQVbTeyplGmzSHRYJayaLd7fN5soqhEvIsG+6pptr6kwPxd4M/QChmFrva5vkYkO7LqLEc3ttha1VbtVogJ0TsqyuGzS6XCSwnWm9rdgUgzmblbZUiS7xGe3PakKSBg89uhzLFywjKvv/49IOgl2JSqeBEFwCUV7trH0t89JHzyetEHjUJRDfzz5B4Vx7rUPM3XGdXz/wUxuvvl+li5bzXMzH8HLy/HLj6zdo1DVKJEUrtM3tOsO5OqaJTYWKPQN00VLQg8U4mugabC1WGFg/PEnFneXy9Q1S0zOtB5wcKjgHLZEj0xxrUyEv87AeCu+Tng/azrkVcrsKFVoaJUI8tbJjNUI9zPw8zT2S1Tqhm358w15KvUtGuH+hssOBha6l8RwneJamRU5KmNTRdlTVzIM2FigsL1EISvW2mXv4bI6iaU7VVQFxqVaiAzo/p8Vvh4wOcPK5iKF7EIVsJIe3TOqiFvabcnItprdvPXGO1x8yzOkDRzj7LCEHkYkngRBcAkr//iaBT+8z4If3sfbL4AxJ13E1BnXH3apVr/AMC697TlS+o/is1fvZ926zXz4wUukpCQ6KHLbgVxuhYymS6zebasOSAzXke1YGNBhhY35CvnVMj7uBgPjRLVTT+RugtQoja1FCskR2nEvM51fJRMRIBIErkaSYEyKleIaifX5Kr9sNJEcrpMRo2Fy0PyQmiaJxdtVWi0QFWAwLMFK8CHaR2QJhidYWbVbZUeJQnYhjErSiBUtv8JxCvU1SI3U2VUmsuNdyTBgZY5CbbPEwHhrl7Ve7y6XWZOrEO5vMDLJ2qNWUZVl26qLkgTZhSrRgR34Of5ap13V1TezcLsbFovGAzdMZ+q5NzJ66vnODkvogcQnvCAILmHcKZcw5uQLAbC2t7Dwh3eYefuZtLe1HNHvD590Nve88ANNrTBx4tl88cX3XRnufiQJRiVZUWQDA4l1eSpzNqlUNNgv81RaJ7O7QiEhVGdShtXlhls2t8OOEpmlO1TW5ynklMtUNEhYRH7sqAV6GeiGRFPb8b1+mtttQ3tjg0RiwBVJEkQHGUwbYCEjWiOnXGbxdhXdATnCmiaJBVtVPMy2/Y9NPXTSaR8fD9uMljOHWogONFiRo7Bqt2K31lCh96ppkvDzEAnyrlTXIpFXpZAUoXdZ0qm0TmJ1rkpCmM7Y1J6VdPqrhFDbwU1Nc/c/lc7MGM2vP3zFf564loT0YZx+6Z3ODknoobr/u0UQBKcyDANdP/4DmJCIOC66+f8YNGYabu7ueHl5UFKwiy9ef+iItxERm8zdL/xA/5Enc911d3LLLQ/Q1tZ+3LEdiahAg0npVtxNtgPnuhaZeVtMLNup0GKHEGqbJbzcDAbGO64i4kjkV8nMyVaZvc7MxgKFNgsU18qszVWYt8XEj+tts2J62iyErmIYsKlAIchbJ9T3+B60umYJf0+dcD+ReHJlimxb1npcqpXKBonNhV3/Bl+1W8HTzWBCv2Nr8ZMlGNzHSri/QW6FwqYCF/pQErqlumaJkOP8zBMOzbK3izG4CytgNxUoBPvoDO6j2bXq29V4mCHSX2dVjsL2ku57Or1o0XKampr5/LUH2bByIVNnXI/c1UscCr1WD81DC4LgCNs3LOXF+y9ENZkZPPYULr3teWTl+E5AzrziXn748DkA9G1r8fEPPqrfd3P35LI7ZpGUOZzPXn+IDksHr736DJIDpioHehtMzrDwe7aJdqttfwXVtlVQTki3HFc5tisOhd5dLrM6VyXCX2dEopWoAB3T3m8VTYfGVomtxTIrc1Ryy3WG9NXw8xQnFoeSVylT1yIzOcNy3M95S4dEfYuEm8k+sQldK8zPIDNWY1OBSoCXTkxQ171X3E22z5TjqUbwMMO4VCvbS2Q25KuYVOgfo3X5suxCz+TpZlBSK5EWhUtdXOkp2i22GT4eJgNv9675bOmwQm2zbdU3VzxmsSdJgtEpVjYVKGzIV/HztBDh3/2Obyorq/f7e3zKAOcEIvQKIvEkCMIxCwqLBsBq6WDlvG9Jyhxx3H3hIRFxXHXPy8e1DUmSGD31fFTVzPvP38boUUO5+OIZx7XNI+XtDqOSrSzYqmJgO/Jqt0o0tErHlXTxMBm0WWwVMa5wQKcbsG6PQoS/rVLjf2NSZPD3MhiVrNG3TmftHpVfN6nEBeskh+sEOnjmkKZDVaNEu0VCkQ0UBbzdDLzdHRrGIVk12FSoEBOoH1Hb0+FYNNvy0K7wehGOTFqkTl2zxrKdKgPjNbvPitsnwMsgv9o+GaKUCB0JKxvyFUprJQb31Y67Wk/ofYb01fg9W2VHiUxGjKjStCddty0M0GaRGJ3Sda362t6nTZF7x/tfkWFAnEZNk8TGfIUwP2u3q/KaNm0yJpMJi8XCmVfc65CLtELvJRJPgiAcs5CIOG57+nOyV8+jo62VhPShzg5pP8MnnU3OllXceeejZGVlkJmZ5pD9hvkZ9I/V2Fhg+4jtE6IRHXh8B2LuJtB0idYO8DzOgdP2IEsQH6JTWC1j0Q5dORHub3BSloVdZTI7SxXyKm2l+MnhOlGB+jGvtravfe9Qx0lFNRK55QrlDRKa/vcbRgXo9IvSCLJDoud4WDVYuXdWTv/Y41/Vqb4FCqtlQkWbXbciSTAiScPNBOvyVHaX68QE63iZAQk8zbZB8cd74mjVQbVTZZIkQUqkTqifwZq9LbZxwRqD4jVRbSccMT9PA1kSifKu0NAmUd8qM7SvtUuTwu4mUBWD+laJGHpH8kmSICtO44/NKou3q91umLqmafTtG0er5s7UGdc7Oxyhh+tGbw1BEFxRcv+RJPcf6ewwDmrGtY9QsGsTl152M0uXzMbT0zFrlqdG6gT7WOiwQkSAcdwH0+H+OmbVYHORwrAEx07sNgw6DyH/ejWvX7TG7gqFsjr5sCtbKbLtMUmO0CmpkdhZprBsl4qqGIT7GUT460T46wdMquk6VDZK5FfJlNXJaLrtxFnTJdxUg0Bvg1BfncRwvbNFo80Ca/coFFbbklwZ0bbl373djM7fL6+X2V6i8PtmE6G+OkP6OnZJe6sGlQ0SrRaJnDKZ+laJkUlWfI4zhpZ2WLzDBAb0ixTT3bsb2/wkjfhgnW0lCjtKFCzan288CQN/L4OoAJ2kcP2okzvte+ewhfnaNykZ4GUwOcNKboXM6lwFH3dDVK4IR6y2ScKqS4T59Y6EhSMpku0x7eoWxspGCasmEeLkCzmOFuxjMD7NytKdKj9tMJEaoZEY9ufoAVe1YMFSbrnlQSoqa/jnk584OxyhF3Dxt4QgCL1FU0Mt5UW7Seg3xK7bNbu5c/ldL/LYdZP5+ee5TJ9+ml23fzCShF0HpZpVyIjWWJen0tAqkRCmEx+sd/nV4eomiSXbVVotth35uBsE+egEeRuYFFtJffNRDE+X967kFR1kpa5ForhGorTOtvSygYqfh46XG5hNBm6q7SS5pFamQ7MlmSIDdLzdbRUfqgytHVDdJJNdqLCjVCE2WKelXepcUXBkkpXYoP0fp33n6d7uOn1CdYprJDYVqMzNNjE6xeqQE582C8zfqlLfYis78XG3Dae3RwtiQbVMWwecNdRyzNVkgvMF+RiMSbFiGHSudNfYKlHVJFHZILGtRGF7iUJSuE56tHbIKiiLZhveXFwrk1MmYwDJXbCqlbS3EnJNroIs296/pXUyZtUg3N/odm0oguOU1UuoiuHwNuzeYNVuFS832wWertJhhZU5tvl0vXFIfLi/wdT+FrYWK2QXKuwqVzipv8Xlqp+Ki0tZvnwNv81ZwFdf/kBK/5Hc99DHhEbGOzs0oRdwsbeDIAi9kWEYPHnjFOqqK7jlqU9IHTDGrtuPiE2ib9ogvvr6R4clnrqCrbrByp4K28DumiZbO4s9k0/N7bYTxbpmieomidpmGX9PncxYDd2g8+f5lTIGEibFdkJ5LPw9Dfw9DdKjddotUFYvU14v0WaRaGqTqN47jykxXCc6UCfA62CVYzrN7bbVdIprZLzdDfqE6KRGaniYDx2DLEFMkEGYn4WlO1UWbFMZ2lejb+jhD9CPpNXvQDqsMG+LiQ4rnJhhwd/LsGuCqMMqYVYRSaceQpJA2fsa8/eyVTslhkGbRWNnqcKOEpnCGpnhCdbOE759CZ/SOomaJpnGNgDbiX1SuE5KpIZ7F7XBKbIt+bS5UGF7sULH3motXw+DYQlWu8wvE3qe1g4JbzeRnOwKsmSQGKZ1aQXOtmKFDitM7Nf95hzZi7c7DEvQSIvU+C3bxPo8heGJrlF1XFVVzXnnX8e6tRsACImI5aJ/Ps2oKeeJVewEhxGJJ0EQnE6SJDKHncjiXz7hxfsv4oHX5hAVn2LXfQwedzrfvvskdXX1+Pv72XXbjiJJEBesExess6NUZn2eSt9QW0LmeLRbbPOA8qtkKhtlJAx8PWwnuP2iLEQG/D0xoum2xIu9hpS6mfbdt2P7fS83GJmkAcd2kGdWYXyqlXV5Cqt2q9S3aGTGHLiKpLkdsgsUSuv2Vo6Ea6RHH3n12e5ymeY2mJpl6ZLWPttQcXFy39O5m6B/rEZ8iMbKHJU/tqikROjIMmwvtiWGA7x0wv11+nkZBHjZ3teOOMcY0teWqK5vkRjX1zazbHWuwtKdKqcPOv4VG4Wex9vdYHeFTG6FfESJf+HISZJEaZ1CWtTxzw88mNI6iahA3aUW7HAWHw8YGKexOlclNlh3idXuvvnmJzZt3MKVd79E2qBxePsGODskoRcSiSdBEFzCudc9ws5Nyygv3sNzd5zF9Y+8S3LmCLttv9/gcXz5xiNs2rSVceNcdybVkUoM09mYb1DRIB1T4skwbPOFdpXLFNXIYNhKxYcnWokOOPxsgp5YTSPLttk6Ph4GG/MVCqpkMmM14kN0JKC+VaKwSmZ7qYxZgYQwHasGm4tUNF0jK+7wSS/DgN3lCjFBepfNk/IwGbZh1EKv4OsBkzKs7CyV2VSgoEiQFqWTGKY5bSECRd6XCP6TVZPwcjv+eXdCz5QYplNeL7OtWBGJJzuLCbK1v7Z1gHsXfTd0WCXcTc5PsLiKvqE6u8t1csoUIvy7LuF3JNat28TLr7xLStYohk44w6mxCL2bSDwJguASVJOZy+96kWduPZ221mb+fc95XPTPpxlz0gV22b7JZDsDa21ts8v2nE3XQTekox4WatEgr1LeO8xaxsfdYECcRlyw3mWtN92JJNmWh48K0NlUYKt+WpNr7B2wLqHKBgmhOpkxf7YteJgNNhaoxATph51PUlYv0dQuMTyx606s3Ey2Nqt2i1hVrLeQJdvw/rhg2yqRrjZXBGxzzKoaJeZuVmlqkzCwJRsyY1yjFUVwLlmG5nZbclKwr+hAW+Ipv0omJbJrvnsCvQ1qmkRWeR9JgqhA2wIRuo5DKk0B2tvbKS+vIiYmkra2dl5++S1mznyNmIR0zrvhCccEIQgH4YKHJoIg9FbxyVlMv+Yh5n71H+pqKsjfudFuiafSgp0ApKYm2mV7zmQYsKFAQcJ2oGfVZEJ8jYNWPmk6VDRIFNXY2uk0DaICDQb2sRDmKyoQDsTbHUYla6Q26VQ1SsgyeJkNQv3+3naYEqmzp1Jn7R6FCf2sB00Gtllgda5KkLfepXNuogJ0VqNQXCtaVnqbw800c6ZRyVZ2lCg0tkGor0GHFbYU2VaddIVWFMG5yuslGlolhic4tzqkJ3Iz2ZK8uZUyoX4HP1Y4HkHeOluKbHOeXDHx7QzhfgbZhba5mI4auP7gg8/w1lsf4e3jg9lkor6+gSkzrueUC29BUcWVKMG5xEeDIAguZdKZV3HCGVdiGIZdBx4GhUUDUFhYQlxcjN2221WampppaWklNNQ29OjTz74jJOVEzB5+1DbbBnADFNXIdFhtq14lR+gkhOpUN0mU1Mq0W8Gs2JJOlr1tLsnhOglhGl5OasHpbgK9D7/KkizZBoou3KYyd7PK6GTr39ro2i2wdKeKpsGodGuXJvvczbblnXPKZGKDdLvN4RKE42FWITP2z+qmqkaJnHKFmiZJJJ6EzgH6pXUSQWIAvd31j9WYv1VlwVaVSRn2ny+4b0GBHaWKqGLcK8DbwKwYlNXLhPg65jE58cTxvPXWR6QMGE9AaCRjT75IrFgnuIweOKVDEITuTpIku6+yERaVgNnNnWuvvZNrrrmTxsYmu27/YKxWK8be5c927Mhh9er1nf/2+OOzWLp0JQArV65j5MiTqaysBuD++5/kwguvBWwVTuXyIKrbA5AlCPHVSY2wcurADs4cYmH6cAsD4jR2l8n8stHEqt0q7VbbrB+LZktITe1v4dSBFvrHiqRTVwj2MZicYcWqSfy8wcSi7Sp7KmT2VMpszFeYvc5EbZPE6BSrQx7/AXEaDa0S87eqtmHm7V2/T0E4Gm6qgYRBdqHKb5tUsgsVaptF+WVv5edp+57MrxKZ8q5gUmF8mhU3k8H8rSa7fyd4mCExXGdnqUy7xb7b7q7kve12uRUymgOKj61WKwsWLEOWZabMuI5zrvqXSDoJLkVUPAmC0CvIisLQCWdQXV7ID7PnEBcXxb/+ddtRb6epqZk9ewpIS0tCVVX++GMxtbV1TJ9+GgAXXngdF1xwFqedNpW5cxcxY8ZVbNu2lPDwUF577T02b97OH398DcD8+Uvo0yeG0aOHExQUwPjxozorYa655lKam1sAWwtCRGwiJ6RbCD1Aufa++S59Q3XqmiXczUaXDa4WDs7P02DaAAv5VTI7S2VW7rZ9xaqyQWK4Tlqk42YuBfsYjE+zsj5fYU2ugiQpZMRopEbqvXapa8G1+HjA2UMtFNfKlNRK7CyV2VKkEBukMTBec+m2QcH+csptF5uG9BWtdl3FzQQT+1mZu9nE/K0mpva3HPWcyENJi9LIKZfZUarQP1ZUPQGkRmrsqVTIrZBJCrdv9skwDEpKyujo6OCPP5bw9jufsnPHLs6+6n5iEzPtui9BsAeReBIEode4+JZnAXjuzrPJyyukubkFLy9PSkrKWLx4JWefPQ2TycQHH3xBVVUNd9xxPYZhMHDgCdxxxw1ccskMlixZyQUXXNuZTPr557nk5RV0Jp58fX0wmWzZhX79knnxxSfx8vIE4IEHbkf+y1n/vHnfdP45MbEPTz/9YOffMzJSAdB1gyWb6vHxCSTkMO0HZhVC/USLgjMpsm01mz4hOppuGzAqSzhljlaIr8GUTCsWK2wtVthUoFDVKDMmxSqST4JLMKm2Fp34ENB1jfxqmQ35Cj9tkBmdbBUteL1I4N65Q01tEmHie6zLeJhhXKqVXzaaKK+TiA6y32PtboLkvVVPKRFicQsAP0+IC9ZYu0elqlFjSB/tsKsG/5VhGAccPbF69Xquuup2CguLAFAUldSBo7n3xVki6SS4LJF4EgSh1/H0DuDrr39kxIjBXHXVRWRnb+O66+5k3LgRRESEUVlZRVlZJWBr+7v00vNIS0sCYMSIwcyd+xUBAX4APP/8o/tt+z//mdn558jIcC699NzOv4eEBB1VnE1tsHJrI1ZTCG1lq5GkrGO6v4LjSRIuM1vJpEJWnEaIr87i7SqbChQGxImr0YJrkWXoE2JbUXLpTpWVOSonZ1nEyWsvERFgEOanU1wrkxAmFkXoSl5uBibFoLJRJjrIvt8FqZEau8pE1dNfDU/UCPU1WJ+vIEkwIvHIHpePP/6Sm2++H4Do6Gj69o1l0KBMdu/O45df/iAuOYvrHnwYRVVJ6DcEDy/frrwbgnDcROJJEIRep9/gsWxZM5+hQwcAMHHiaEpKsvHwcAfgzjtv3O/2t99+Xeef/f39GDy46xNA1U0S87ao6EYQ0T41xMeEMnnyObz66jOkpHT/lfkEx4sMMBgQp7E+XyXUVycyQFQVCK7HrMLwBFtFxvJdKqNTDr5SpNCzuKkGtc22eTj/u3qoYB+GAYt3qOgGxATZP8HnZrJVMe6plMmM0cSqudiqnhPCdCQJVu1WiQnUiQo88PfvggVLycxMIygokKKiss6fFxUVERidxgcff4+3XyBnXfkvRp90Pm7uno66G4Jw3MTHuiAIvc7A0dMAgw0btgBgNps7k06uoN0Ci7ar+HsanDXEwpgMb1pbW4mJiSI8PAyAF198k5dfftvJkQrdTXKETqivzoZ8BV3knQQX5ekGo1OsVDVK/J6tklsho4simB4vLUqnqd22AmiLWBDhsEpqJdbnKZTUSmwpkvlpvYnyeonGNlvF9PYSmaIaCd2AxlZYtlPhh7UmyuttrazBXbR6YHyITmuHRGWjyDr9VZ8QnUh/ndW56kEHsJ911uUkJg6nqqqavn1j2bp1CY88cheSJJE2cCxPfbiS+1/+hRPOvFIknYRuRySeBEHodfwCQ0npP5Ivv5zt7FAOaHuJgqbBmBQr5r11qUlJfXnvvZfw8/MBoLGxiaamZgAaGhq59dYHyMsrcFbIQjchSZAcrtHQKtPW4exoBOHgwv0MJmVYMQyJVbtVNheJsqeeLsDLYHSSlZomiTnZJpranB2R6zIMWLJDZUepwqLtJrILVRrbJOZvNfHTejM/rjezqUBhyQ4T368x8ctGE9VNMhEBOv1ju3Z+mlm1bVsTnXb7kSQYmmBF021zFw8lKWkE1157J9988xPXXHMpnp6edLS3OihSQegaIvEkCEKvNOLEc1myZAWffvq1s0PZT0s77CyTSY7QD7mq0wMP3M59990CQH5+EYsWLe8cPvnjj3OYPfs3R4QrdEPee4v7qpvE1WjBtQXsHTgtSwYBXqLkqTeIDjI4qb8FSYJNBSLZeCCaDuvyFHRDItBbZ0I/C1MyLUzoZyE6UGdIHytD+1o5c4iFyRkWEsJ0BsRpnJxlYViCRr8ovUtb4NxU23t2V7mCRSSf9uNhhj6hOnlV8gGrjs87/6z9/v7vF95g3PgzsVg10gdPcEyQgtBFROJJEIReaeiEMxg99XxuvPFeZs36D4bh/L4jq2ZrMTAptgGdRyozM421a+cSGxsNwM8/z+Xbb3+xbdNq5b33PqO6uqZLYha6H38vg1BfnW0lCi7wsheEgzIM6LBCVIBB9EFmogg9j7vZtspdq0Ukxw8kv0pmV5lCSoTG6GQr4X4Ggd4G4X4GY1KsJIbrJITpmFUI9jHoH6uRHKE7bMELNxOkR2uU1MpU1Ivn8H/FBum0WyRqD3Dx5957bsLXz5eo+GSuf/gdkN0xeUdw16zviOqT6oRoBcF+xHBxQRB6JUmSuOifT+MXFMbjjz9Pa2sb//rXrU6Lp7xeYkO+QkOrxKT0P1vsjpT0l8uXr732LBaLbYDAtm07ufvux8jKSicoKJBNm7ZgMpk7V+kTeqfUSI1F201UNIilywXXJUm2FRlX7Vb4Y4tKZoyGn6eBSRHDp3uybcUyxbUyA+Oszg7F5bRboLnN9n0f6qvj5ebkgA6grF5ia7GCj7tBiK/4fvlf+xZLONAjEx8fyysvP8Wll95Ec0MtT7y/3KGxCUJXEoknQRB6LUmSOO3i22lvbeaNNz/irrtuwGw+RH9bF6lrkVi4TSXAy2BiPyuB3sd/oGYy2dYgz8zsx65dK/D1tc2GmjnzVWpr6/nxx08wDIN16zYxYEAGiiJaGnqTCH9b69LGAoUTM6xi5SHBZfUN1fE0G2zIV5i/1bT3ZxrDEkQPT0+j67B2j8LuCoV+UbYqnd5ON6CyQcIwQFVg4TYViybhbjI6W1FdSYcVlu9UCfaxVV+JFSn/zk01kCWDnHKZIO8/V/6rqall0aIVPPLIc4RH96X/iBOdG6gg2JlIPAmC0OuNnDyDP759m4ULl3PiieMdvv/8ShmTAiekW7vkKr6/v1/nn996699UVFQBsGNHDpMnT+eLL95iypQJVFZW4+Pjjbu7C15CFexKkmBgnMa8rSbyq2TiQ8QJnuC6wv0NpvpZqWyUmLfFRIdVZEp7ooJqmd0VCoP7WEkKF59JAKt2K+RV/pm98TAbnJjZgZeba1b9FdfKtFtheIJIOh2MuxmGJWisyFGpa5ZICNPxkaqYMOF0ysvKiUvK5IZ7X8PLx9/ZoQqCXYnEkyAIvV5kfArh0X35/vtfnZJ4UhSDdqvEngqZxC4+2HZ3dyM2NgqwrZT3669fkJWVDsCjj85k69adzJv3DQDNzS14eYnlenuqUD+DqACdTQUK0YGOm/8hCMdCkiDU1yAlQmN3hUybBdxNzo5KsKfqJgk3kyGSTntVN0nkVSoMirfi5Wawu0Ihwl/H18PZkR1cTRNEBeh4iutXhxQfouNusrCrTGHdHgVdDyZl0In849RLiYpPcXZ4gtAlXDBXLgiC4FiSJDFg9Ml8990vfPvtzw4fNJ4YphPhr7MuT2FHqUxZnWOu5iuKwvDhgzornP75z3/w2GP3AFBZWU1CwlDmzFkAgK6LE4GeaECclVaLbSVFQegO+kVpyMCq3eoBV4USuqc9lbaB2UlhooVyn7pm27FAfIhOVKDBuFTXrgTrsMLuckXMdTpC4f4GY1OtnD7YQt7GX6mpLCY0Kt7ZYQlClxFHmoIgCMDks68lZcA4rrzyFi688HpKSsoctm93E4xOthLmZ7A+T2XBNhOrc6CqptFhMQAkJycwZsxwAMxmM08+eT+DBmUC8Pjjs5g+/SqHxiN0PR8PSArX2Vqk0Nbh7GgE4fDcTDAyyUppncSq3WJlxu6u3QLLdymszFGJD9FIj3bdxIqjebrZXtzLd3WPBpWiGhndsK3aJhxeW1s7K1eu48brbuXZf91I1sipmEyiVEzouUTiSRAEAfDy8eMf//oP1z7wBitWb2b4iGm8//7nDtu/qsD4NCvnjeggK9bKrjKJocOmccUVt1BUVOqwOPbx8/PhqqsuIjg4CIBRo4ZyyimTAWhtbWPMmNNYtEisttITpEdpyBJkF4leO6F7iAgwGJGokVcps7VYHMp2V01t8MtGEyW1MsMTrQxP0MRCB3tZNFi205ZwCvbpHomcwmqZUF9DtNkdgZkzXyUiIoOTTjqPZau2cP4NjzNqynnODksQupT4thYEQfiLAaNO4sHXfyd92BRuu+1Btm/f5dD9SxKkRekMi8inrrqM7777mczMcdxww92UlVU4NJa/OvHE8VxxxQUANDc3M3ToACIjwwH46KMvueuuR50Wm3B83EyQHqOxu1xhe4mM1j3OcYReLi5YJzVSZ0uRQmObs6MRjpZVgyU7VFQZTs6y0CdEF0mnv5D2/ufrodMvqnt8KLe0g7+nKEE8ElVVNQBM/8eDPPTGfMafeimyLE7LhZ5NvMIFQRD+h6WjjZgE28Bti8XilBgSE2JZsuRH3PbOX/rss2/JyprI2WdfwcyZr1BdXeOUuACCg4P4978fJzGxD2Cb/yTtPWPQdZ2bb76Pdes2OS2+7uzmm++jtrYOgNtvf4grr7y1898GDZrE559/B8CiRcsZNGgSVVXVADz22PNcddWft5069Tw++8w2JH7duk2MH38GxcW2yrmXX36ba6+9s/O2F198A2vmfUVapMaGfJWP5rfx/fw9ooVJcHkZ0RoSUFIjDme7m40FCo1tEmNSrKJC5gBUBVIiNRpau8/FAAPE98YRqK6uIS0tCYCOjjaRcBJ6DfFKFwRB+Atd13nihql89eZj+Pn7ERsb47RY0tNTuPGGKzGZzAB0dHRQUN7GrH+/RVbWCbzxxgdomvMHsV522Xk8++xDgO0q3rZtO2lttZUgLFy4jDff/NDhA9u7qzVrNvDyy+8AMGHCKKZOndj5b+eeewZJSbZkX1hYCKeffhJubrYztoyMVIYPH9R52xEjBhMVFQGAj483gwdndQ6RDw8PpW/fuM7bxsREEhDgS1acRv+gPBrLttLqnsL6fDE/R3BtqgLeHgb51d3n5FwATbcNE0+N1PH3Eh8yB7K7XCa7UCGmG604GuRtUFwni6H/h1BdXcOECWdz220PEpPQj9FTz3d2SILgMJJxBGcDDQ0N+Pn5MeurzXh4+jgiLkEQBKdZNue/fPTCXbz66tNceOE5To1l48YtTJhwJvFJ/WluquOGR97D2y+I2R89z+KfPyZrQCYvvfg4mZn9DrqN5uYWvLw8HRj1n5577jXmzl3Er7/a5mW9/fYnTJ48lvj4WKfEIxyZXWUya/eo6LWbuHBaqrPDEYSDqm6U+GOLSp8QnSF9xYyg7qCkVmLRdhMn9beIxNMB6AZ8v9ZEuJ/O8ETbDL7uoLpR4vfNJsalWogMEM/rgSxevILTT7+ES29/npGTpzs7HEGwi9aWRm6fnkF9fT2+vr4HvZ2oeBIEQfgfIybZkk2aC1xC9/T0AGD86Zfz2DuLCY9JxNs3gAtufII7n/uaqtp2Jk48mwcffJrm5pa//f6cOQuIixvEhAln8fbbn1BXV+/Q+O+88wZ+/vlTAGpqannssefYuHELADt25LB06SpRDeWCksJ16vKXY/j2o7zW6uxwBOGggnwMhvTV2F0hsyJHQXf+x7ZwGLkVCj7uBn5iHtBBGQZ4muk2SSeAQG+DqACNykZxenkw/v62k/K8HeudHIkgOJ74ZBAEQfgfsqLg5u5Bfn6hs0PhiSf+TVBYFIPHnvK3f+ubNph7XvyRUy++gzff+oSRI0/hvfc+o6mpGQCr1cq/Hnia+JQB4BHBPfc+TkrqaG666T6HDirfN78gMDCAXbtWcPLJkwD45JOvuf76uztvt2LFWlpaWh0Wlyu6+eb7+PDD/zo7DAAuPzOTQG+JdfnuWJzf0SkIB9U3VGdUkkZhtcziHapou3NhJbUSRTUy/aJEddrB1DZLKDK0d7OcvySBhxlKasQTeyDr12czbtwZAAwed5qToxEExxOJJ0EQhAMYNfUCXnzpbRYuXOa0GNrb25k9+zdOOPMfmMzuB7yNajJz0nk38q9XfyMoJp0773yE1NTRDBg4mejoAeTs2s2pF9/BdQ+9zVMfrGDahbfxw49/MHLUKSxevMLB9wjc3Nwwm20zqx555C5+/vkzJEmioaGR00+/hE8++RqwzUGoqal1eHzO5uHh0fn4OJu7u5mRyTpN7fDez2XkFVY6OyRBOKjYYJ1xqVbK6yXW53WToTi9TG2zxOLtKhH+OnEhIjt4IBYNFmxVMasGqZHdL+PfYQWz6uwoXNOePQWdf66vcd4qxYLgLOKjQRAE4QDOuep+Kop2c+651/DOO7M49dQpDo+hqqoGwzAIjYw/7G1DI+O59oE3qaksYeW8b2hraWJYQCh90wbZKp4Av8BQps64njEnXcA7z9zEOdOvYtvWxQQFBXbtHTkIWZaJjrYNwPb19WHp0h8JDrbF8vbbn/Dmmx+xc+dyFEWhrq4ef38/p8TpSPuGtLsKf0+DZJ88Vtf4sLbEH80sERukYVLFFW3B9YT7Gwzqo7EmVyXUTyc2SLRyuZL8Shk3E4xNtXarFjJHausAiyaREW3F18PZ0Ry9pjZJtFAeRFZWOm5uZgJCYxgwaqqzwxEEhxMVT4IgCAegqCaufegtMkecyGWX3eyU9qfKymoAfPyDj/h3AkMiOfm8mzjrins54cwrO5NOf+Xl48+Zl9+DpaODwsISe4V73JKS+hIQ4A/A5Zefz7vvvoCiKFgsFgYMOIE33/wIsLUQ9tS5UC0trVgsFmeHsZ+sftFccIIvoX4Kq3MVPlnYzle/bRcr3gkuKSFUJyZIY22uaLlzNc0d4OdpiKTTAbR2wJpchbmbTZgVo9sOXW9ql/B2756xd6Wqqmpuuul+/IMjueWpzzCZ3JwdkiA4nEg8CYIgHITJ5MaVd73EmJMv4pZb/sXnn3/n0P3vSzz5Bhx54ulIefvaKoveffdTdu7cbfftH6+wsBDGjx8FgGEYvPDCE0yePA6ADz/8L0OGnNiZoPnqq9msWbMBsA0wf/fdTzsfu3XrNvHZZ990bvfrr39k6dJVANTXN/LGGx9QXFwKwIYNm3n33U/3u+28eYsB28qAr7zyDnl5tlL5TZu28Mor73Te9ptvfuLnn/8AbC2S//73G+zYkQPA5s3bef7519H3Tj3+9tuf+fbbnwHQdZ2ZM18hO3srAJMnT+fpp18+/gfQzrzcJMamWpmQVEdT+Xasvv1ZskOl3bVyZIKAJEFGtEa7VaKkVmQ4XImui+fjQBpa4ffNJgprZPqE6JyYacHnwN31Lq3DCh1WCe9uGHtXuvXWB0hKGsGKFas57/on8A8Kc3ZIguAUIvEkCIJwCLKicP4NjzNy8gxuvfUBNm3a4rB9V1ZWAeDjF2T3bfsHRzDxjCv55ts5DB9+EqNGncrVV9/G00+/xFdfzWbDhs20t7fbfb/Hwmw2c+aZJ9O3bxwAAwdmcvXVF2EymQB45pmX+emnuQCUllZwzz2PU1BQBMC8eYv3S+S89tp7/Pyz7ba1tbU8+uhzncmk5ctX89xzr3Xe9qOPvuxMJjU3t/Dss6+Qk5MHwMaNW3nxxTc7b/vttz/x66+223Z0WHj11XfIydkDwM6du/nPf95H02zzOubMWcBvv80HbEm1d9/9jJ07cwF44IHb6N8/zS6PW1cID/bipgsHMDbFQkWDxCfzG1m8KsfZYQnCfvw8IchbJ7dCzHpyBe0W2JCnUFYnEewjqmH+StdhyQ4TqgxTMi0MiNfw6YYtdgDN7bbEorebeI7/Ki4uBoDA0CiSMoc7ORpBcB7JOIJ+hYaGBvz8/Jj11WY8PH0cEZcgCIJL6WhvY9Zd56C317FgwTcEBgZ0+T5ffPFNZj7/Js99sanL9mGxtJO98g+2rl1IRXEuFSV7qK+xDZEOCgrirLNOZvLkcZxwwpjORI8gABSW1PLd0jpCopMZFK+RHCH6mgTXkVMuszZX4ZSBFlGB4WS7ymTW7VGIC9YZ3EfDJCbMdtpVJrN2j8LU/lYCuml73T6NrfDTBjMT+1kI8+ve98VeDMNAkiSef/51nnhiFrc98wXJmSOcHZYg2FVrSyO3T8+gvr4eX1/fg95OfPQLgiAcAbObO//41xs8c+upPP74LP7978e7fJ+VldX4HsV8p2NhMrkxaMw0Bo2Z1vmzlqZ6yop2s2bhbL7/8XfefvtjRo4cyuzZH6EoooJAsImJDOCGs/3ZVKizLk9l3aYdzJgch6KIYmrB+eKCdTYXKmQXKoxM6n6rg/UkbRYJkwLDEjUx3+kvKuolNhYo9AnRu33SCcDTDSQMGtskkXjClnQaPvxk3NzN5Ozaw5Dxp5OUISqehN5LHB0KgiAcoaCwaEaeeB6zZ//eOa+nK3V0WOhob0XTrF2+r7/y9Pajb+ogzr32YR59ZzGX3vYcy5evpqSk3KFxCK5PUSQGxmsEkIvulchPq1qwinN8wQWYFMiI0civUqhpEtkOZ4rw1+nQJKoaxfOwz+5ymXlbTXi72VZi7AkU2ZZ8amoVzzPAjh057Nq1m83Z28gYNplLbp2JJInHRui9ROJJEAThKET37Ud1dTWtrW1dvq+LLjqH6ooSVv7xdZfv62Byt63lu/efAXC51dYE1zF1ZDT9QqpolwOYv1WltqHr3x+CcDh9Q3V8PQw25CtiFUYn2jfzp1EkJDpVNkr4euicmGnF1IMKiYO8dQprZLGiJHQeJ97z7++56t5XMbuJnl+hdxOJJ0EQhKOgqLY5R21tXX9inZWVzvQZp/P1209QW1Xa5fs7kA3LfqWhtpKLL55Bnz6xTolB6B4GpARwQrqVqrp2Pl/QQHF5k7NDEno5WYKsWCsVDTKldSLp4QyGAQu2qZhVg8gAkY3YR9fBw2yrEupJ0qN1mtsht6KH3bFjkJdXCEBASKSTIxEE1yA+FQRBEI5CWFRfAH79dZ5D9jfz2Yfw8fbgoxfu4gjWgrC7tEHjALjlln+IEnHhsIK8DQZFVuDj7cnK/ACKa8RrRnCuyACDEF+djfkKuqh6cjiLBnUtMikRGh5mZ0fjOjRdQumBH49+ngZxwTpbi5Re33a9YMEyvP0C+f2r/zg7FEFwCSLxJAiCcBQiYpMYOPokbrrpPu6442FaWlq7dH/+/n48/X//Ytu6xZQX7e7SfR1IZGwyADt3On7fQveUkhDBjLHeBPsaLN5h4uVP1tLWLto0BeeQJBgYp1HfKrNHVGE4nEmxtV9lF6rM3azS0LVfmd2GpoPcQ1+OGdEaugH5VT30Dh4Bq9XKd9/9QlN9DX98946zwxEEl9B7PxEEQRCOgawo/OP+/3DhTU/x8SffMH7CWWzatKVL9zl16kTc3d3ZtHJul+7nQPa1+EVFRTh830L35WaCsSlWtMrVBMYOYcF2D3HCKThNoLdBbJBGdqGownA0SYJJGVZGJVtobpfYmC8W1AZoaJXwcuuZJXg+HhAVoJNdqPTaWU9z5iygoaEBgFFTznVyNILgGkTiSRAE4ShJksTYaRdx30s/0WF4MGnyDP773++7bH8eHu6MGz+SLasd0973V2WFOUiSRFJSX4fvW+jeJAkuOj2Lkwca6IbELxsU3vxiDa3tjl2lURAA+sdqdFhhe4k49HU0WYLoQAMJkOWemWw5GnmVMi0dEiE+PTcrkxal0W7pvbOemptbOv8c1aefEyMRBNfROz8NBEEQ7CA8JpG7nv+W1AFjmTXrzS7d18knnUDO1jW0Njd06X7+l9VqQZZlWltFuYpwbAK9YUqmhabSzXhFDeWXjR5sLpRpaBQr3wmO4+0OyRE6W4sVqhp74HAdF9faAS0dEqW1MvO3qqzardDYS79WthQpRAXoRAb23CScjwfEButsK+6dK0pGRIR1/jm6b5oTIxEE1yEST4IgCMdBNZkZfsLZ7Nixk7Kyii7bT//+/dA1jcrS/C7bx4EMGDUVkPj6658cul+hZ1EVuOrsNE4fbCUuRGdLkcyXyzUWryvrlSclgnNkxmgEeBks3anS1uHsaHoXLzcYkWglKlDHrBqU1cn8lm2ipql3JQE1TaOuoZnGmiLkHn7Xw/x0vN2NXtlul56egizLuHl4ERUvEk+CACLxJAiCcNzCYxIAKCkp67J9xMZGAVBdXtRl+zgQH78gMoZO5IMP/4vVKlqkhOPj46EwuI/GqLgKrI1FFLfHsmCbSod4aQkOoMgwOtmKYcDSXapY5c7B4kN0RiZpjE7WODnLgo+7wYoctVfN3fryyx+47/LxXHnOFFatWu/scLpURYNMQ6uEqjg7EscLCPDnkktmYDa7oahirpkggEg8CYIgHDc3Dy9g/55+ewsKCsTXz5c92x1/oDplxvVs376L//u/lxy+b6FniokM5NpzUhifZqGqXuft2YU0NPXSvhvBoTzdYFSylaoGiT82q5TVSaLqzglMqq0CqqkNdpb1ntOR9977gtDIOKL79OOftzyAcZwvvq1bd9LY2GSn6OynsFoir1IhM6YXZRX/x/XXX05jfQ2529Y6OxRBcAm955NeEAShi3h4+gBQXV3bZfuQJIlLLp7Bst8+p63FsQeZfdMGc/qldzFr1uv88cdih+5b6Nki/A1i3HbhFxxDtmO7SIVeLNTXYHw/KwawYJuJxdtVLL33/Nhp/DwhKlAnr7J3zAEqKChi1aq1jD/tcqaedyM7tu9k167co9pGe3s7119/N5dddjPXX383o0efwl13P9ZFER8bw4AN+SpRATp9Q3thn91eSUl98fL2pnB31658LAjdhUg8CYIgHCdvv0ACQ8LZsGFzl+7nuusuo7mpnk0rf+/S/RzIiedcS8bQCVx33d3U1zt2wLnQs40YlED/eIXiRl8aRNGT4CDhfgYnZlgZk2KholFi3ha1V86icbaoAIOGVomC6p5/SrJo0XIkSaLfoPH4+AcD0N5+dMPGNm/ezueff8uipev5/PNv8fT248v/fn/QqidN0/jhh1+ZPuNqRow8lYsvvoHTT7+UUaNP48Yb72Xu3EXHXXX1v8rqJZrbJdKiNKQePsfqUGRZJjMjjcKcrj02FITuoud/yguCIDhAXPJAlixdhcVi6bJ9BAb6d9m2D0eWZS7657M0tbTy5JMvOC0OoWdKi9RQ6OC/vxc4OxShF5EkiA40mNjPSm2zTEGVOCx2tNhgHUUyaGl3diSHp+s6K1eu44MPvmDu3EW0th7dypxLlqwiNjEDLx8/ZNn2Wlu+fM0Rz09sb2/n1VffQ1VN/PPJjxk15VxiEtIJDArCy8uz83atrW3k5OzhnXc+YfSY07nsspvZXViHpvjx00+/s3jxcrZt3c6nn37NjBlX8dRTLxzV/Tic3eUKfh46Qd69oIztMLKy0ijeIyqeBAFATDsTBEGwg6wRU3j/+dtIzxjPxRedw403XkFQUKBd99HQ0AiAh5evXbd7pPyDwjjlwtt4552nuOiic8jKSndKHELPoyqgV2/EO2QYheX1xIR5ODskoRcJ8jaIDNBZu0ehsFrG080gOULDV7wMu1xLO2iGhMkOZyRbtuzguedew8fHi5iYSAYNymLs2OGYzeaj2k5DQyNmsxk3NzN5eQWsWbORpUtX8dPP86iqrOy8na+fL+efdyYTJoyipaWVpqZmGhubaGxsoqmpmZaWVoKDAwkODsRisTJnzkKGTj4fgOg+/UgfPJ577nmM9Ruyef21Z/eLITt7G/fd/ySFBSUsXTobb28v7rjjEb799idkWeGx607svK2iKJx77j8oKSmntLScuro6AGRFod+gsdw16xlWzfuWhT9+2Pk7siwTHBxERUUli5esOtqH+qDaOqC4VmJgXO+udtqnf/9+vPHGh7S2NHaOZRCE3kokngRBEOxg+KSzieqbxtJfP+M/b3zM4iUr+fmnTzCZTHbbx74WN2clngAmnn45K+d+ye13PMLvc77ovGorCMfrrJP689smnT21PsSEiWXuBMcamWQlu0ChqV2iuFamoFpman8LXm7Ojqxn83QDP0+dDfkK8cH6Ea+AZhhQWicR5G3gZoJ16zZx9jlXYvbww8cvkIrvfqepsY7hw4fw+ef/wd/f7wi2afDkk//m+edfR5ZlvH28adj7vRse3ZcBY88ka+RU+qQOpKJ4Dyv/+IYvvvwvb75pS+hIkoSHpzfunl64e3hjMrvTVF9NY0MtqmrCw8uX0VPOA2xJoRsf+4Dlv/+Xj164m/PPO5Px40cBtiqoM8+6nI52WxnYI4/MZOvWnaxYsQaT2Q1Lx5/lYV4+foRExFLV7E5I32EkD4vAPzgc/6AwYhMz8fS23e/A4EhCIuLYtXkVudtW01hXQ3V1DSkpSUw7+QRqa+sICPA/sgf/EPZUyshAXLDoWwXo3992ga4odxtJGcOcHI0gOJdkHEFjb0NDA35+fsz6arPI1gqCIBzGrs2rmHX3DL744i2mTJlgt+2uWrWeqVPP5YHX5hAVn2K37R6tXdkrmXXPuXz88WuccsqJh/8FQThCeZUyK3JU0gMLyEwJd3Y4Qi/V0Ao/bzAzLtVCZIBoF+pqZXUSC7aZSI3QyDrCSpnsAoUtxQp9QjR8Lds5ccq5hMekcMOj7+Hp7YdhGOzKXsFbT11HZEQIN1x/GSecMJaYmMgDbs8wDB577HleeOENTjrvJgJDImmsryYuqT9xyVl4+wYc8Pdyt61jZ/Zy+g8/kfCYxP0uxuiaxs7sFRTnbae6vIiS/B1ExqVw0rk3sHn1PMoKd7NxxRwqivfg6+vDfff9k9LSCt5662PcvPyoqyoDwC8whL6pg0nOGkVS5ghyt60luk8aIZHxB43rUAzDoKwwh5wtq8le+Ttb1i5EURROmjqRCy44i8mTx2EymTAMg08//ZoXXnybnF27eeqp+7n++isOsV34ab2JIB+dkUliWj+AxWIhOmYgZ1x2LyeceaWzwxGELtHa0sjt0zOor6/H1/fgF8dFxZMgCIKdJfQbgmoyk5dXaNfttrS0AGAyHV3bgL0lZQ4nLimTTz75RiSeBLuKCdL4ZVkZCwvqROJJcJqKBhkw8PEQSSdHCPMzSAjV2F6qYADp0RrmQ5yhNLfD1mJbgifYR+efVz6Cj38oNz3xEe4eXoCt+ii5/0huf/YrPnvlfm6//SF0XSc5JYkTJ49l0qSxjBw5FDc3M8uXr+HNNz/i++9/Yfo/HmTSWVcfUdy6pjHzjrMA+P79Z1FUE0++vwy/wFAAFvz4IV++8ch+v7Njw1LKCnaxbf3+K8Q2NDTy8CPP4xcQQtaoaVxw01M01lWh6xrB4bFIf8nGHe+FJ0mSiIhNIiI2ibEnX0h9TQVrFv7AynlfM/vC6wgKCuKSS6aTmZnGTTfd1/l7I0YMOeR2qxolmtolhiaIaqd9TCYTw4cPZtOKOSLxJPR6IvEkCIJgZ7IsExQSQVFRiV23m5qaBEBBzmZCo/rYddtHa8Tk6Xz91uNUVlYTEhLk1FiEnkORJbLioaClP7XNFgK8xIm/4FiaDpsLFeKCdXzcnR1N7yBJMKiPRqtFYleZTEmtrc3xYG13JgXiQ3R8PAw2LP2RZctWcfPjH3Ymnf4qIjaJ25/9kubGenZsXMKcr97g1Vff5dVX3wUgJiaawsIiQiPiuOTWmYyaci4A9TUVfPf+M1x623P7JX3+SlYUHntnEfO+e4cFsz/A08sHzfrnAiOjTpxBR1sLZndPDEPH2yeAxIxhNNXXkD50IkGh0fj4B+EbEIKPfzBu7p777SsoLPpYH9Kj4hcYyqSzrmbSWVdTlLuVFXO/4rXXP6CjvQ1Pb1/8g8JRaSUqKuKQ2ymokvEwG4T6is/tv7rwgrO4/vq7qCorIDg81tnhCILTiFY7QRCELvDCfReQ1sef99570a7bnXjCOdS3SNz5/HdOna/U1FDLfRcP5amn7ucf/7jYaXEIPY9uwI/rTEQG6AzpK9o1BMdqbIWfNpiZ2M9CmJ84gXa02maJ37NVdEMi2EdnWIL1kEPeL77kBn79ZT7n/OMBxp1yCYqy/zV1wzBY8cfXfP/+07S3NtPe1kpAgD81NbVIssyYky5k0JhpJPcf2fmdmr3qD157xFadcuU9LzN0/Olddn9dVUVJHgtmf0BETCKfvnI/AC+99BSXXDLjoL+zdKdCh1ViYr9jn9HX1NRMbm4eOTl57N69h6CgQC688Bzc3bvvsLWWllaSkkYw5bx/MnXG9c4ORxDsTrTaCYIgOJG3XxAVFeV23+5TT97HtGkXsGLul4zaO6TUGbx9A4iMT2bLlu1Oi0HomWQJyorzqChsZkjfZGeHI/QyigwSBiW1MmF+IvHpaAFeBidlWSivl9lZqrBgq4mhCVZ8PQw6rBKNbdDUJmFSwNvN4LnnniA4aBYfvvEoi3/6iCETziQpYzjVFUWU5u9k99Y17N66hnPOOZVBg/ozd+5C1q7dhKeXDzc88h59+w1h6W+fs+TXzwgKi8bQdX7/+o3OeIaMO+1vMS6Y/QGBoVH0Hz7ZkQ+NQ4VGxnPutQ9jGAZzvnqdqrJCCguLMQzjoBVgZsXWbtdh5ZCtkv/LarXy1FMv8smn31BRXtH5cx+/AJqbGnh25mvccft1XHrpDNzcul8CytPTg5Ejh7Are7lIPAm9mkg8CYIgdIG6ymKG9Ld/SfXIkUOYce4ZfPP2k4RF9SUhfajd93GkQiL6kJOT57T9Cz2Xu7sbKqLaRHA8TzfoH6uxsUAlNVLDw7kj9Q6rpKSM6upaMjJSD5oQ6G58PcDXQycqQGfuFhMLt+2/OqxJMdB00A0JD1MY9z36JJdddj4vv/w2c775D7M/eh6AqKgo0tISefyB/3DyyZP4/PPvmD9/KUPGncYZl99NcHgsX775GPO+e4fMzH7MWTSbEZOm4x8UTltrE+HRfQ/4mH7x+kMA/N+HK/EP7tmz6CRJ4tG3FzH7o+eZOfMVSksrmDXr0QOu2JsapVFYLbNsp8r4NOsRDYkHePHFt3jxpbeYcNrlxCZmEBbVl5DIPnj5+FFRvIefP3uJe+99nBdefIs777iOiy46B7PZxd+Y/2PMmGE88+xraFYLimq/1Y4FoTsR62ALgiB0gcrSfPbsKaC4uNTu2372mQfJ6p/CC/dfyOoF39t9+0cqJiGdtWs3Ulho31lWgtAnNpyg8HgOPwxAEOyvb6gOGJTWufZhcl5eAUOGTGHcuNN56KFnnB2O3Xm6wakDLZwyoINxqRYmZ1g4a0gH5wyzMH24hWkDOvB2N5i/1USedSBX3vMK3y9cz9dzV7Bo/VZmz1vEK2+/w8TJkwDw9/dFkiS8/QJx8/CiqaGWBT+8x/3338L8+d8QFRVJfW05T36wnH9/tYV7Xph9wLimXXgLAGsW/eCwx8KZZFnmjMvu4tLbn+fzz79j8uQZbNmy42+383GH4YlWyuplqpuOPAk6b94SUgeMYcY1DzH8hLOJTxmAl48fAKFRfbj8zn/z4Ou/E5U0hDvueJjBQ6bw0UdfomndpyJx7NgRtLW2kL9rk7NDEQSnce1vVEEQhG5q2oW3sn1nPnfe+ajdt+3v78e3377HOeecwrvP/pP5P7xn930cifGnXoq7lx/XXXcXbW3tTolB6JkSwjRqm2XWbSlydihHxKJBXnE9RSU1zg5FsAM3k63lq7LBdSuIDMPg1lsfwss3iJDIeNaty3Z2SF1ClsDHAyIDDIJ9DNxMf/7c1wMmplsZn2YhIUyn3Qol9Wbq9HC2lXmycrfK/K0mvltjZl2ewkknncDMmQ+z8McPufuCQTx27QkAXHzxDBRF4d//foxt6xazde3CQ8aUmjUagN1b13bpfXc1IydP547nvqaq3sKEiWfx3HOv/i35ExFgYFYNSmsPfoq5bNlqLrvsZoYPn0afPkNZtmwVTfXVh9x3eEwiV979Mg+8Noew+AH885/3c999T9rlfjlCVlY6Xt7e7Ny0wtmhCILTiFY7QRCELjD+1EuRFZXPX/0XBQXFxMZG2XX7ZrOZ1197Bk8Pdz77cCZZI6YQGGrffRyOu6c3V937Ki8/cDGPPz6LJ5+87/C/JAhHINxPp6a8gLXlFgalc8QtG87Q0Aq/Z5uwaCFoVgvRtTpJkTJGey0RoX7I8sGDNwzbMHVFXAZ0OT7uBs3trvvC+/zzb1m4cClDxp/OmoU/8Mi/rnN2SJSXV/LHH4uwWKxcdpljZhDKEkT4G0T4/736RdNh9joTbRaJffmRq666iKlTT2DFijVs3bqT8eNHEhERBkB6egoAhq4fcp91Nbb5jVF90ux4T7qH+OQsbvm/z7jnwsE8+eQLuLm5cfPNV3f+uwToOqjK38tVly1bzdNPv8zixcuJik8hKXMUaSPDMAydIePPOKL9R8Ylc/V9r5GS9QlvvXI/iYnxXHPNpfa6e11GVVVGjhzMzuzlnHTejc4ORxCcQiSeBEEQusjQCWfw3btP8f77n/PQQ3fYffuSJHHvvf9k9uzfefgfExg15TymnnsDgSGRdt/XwSSmD2XKjBt4++1Xue66y4iJcdy+hZ5LliUGJ8jsaUqhsNpKbPChTwQdSdN0WtoN2jWV+ctzaJYjCAnyZUBkLVtyKmhsT2HRdgkIRd/VTrCfSkd7Czk7d5DVPxVfb3d2786jsamVyD79qG+RUZp3MyAjjpggHXcx/sMleLpxVO1CjvbyK+8CsGbhD5xzzqlMnDiGX3+dR2trGx0dFiyWDiwWKxaLhYaGJoqKSmhsbCIsLIT4+FgmTRpLQkK8XWLZsSOHu+5+nMWLliFJEoZhYBgGl19+vl22f6zqmiXaLBIjk6zEBv35GRIdHcH06bah4W1t7Xz++bdkZ2/jv/+1tc7p+qFbuFbM/QqA+OT+XRS5ayvK3dr552eeeYXLLz8fHx9vADqsYNUlPMywfn02K1aswWw28/33v7F48XJi+vbj2gfeoP+IKce1Mu/YaRdRXpzLffc9SXx8LFOmTDjeu9Xlxo4ZzlP/9zKWjjZMZndnhyMIDicST4IgCF3E3cOL4ZNn8OabH5GZmcZZZ02z+z5CQ4NZu3YOb731Ma+88i7L5nzBhNMu46wr7kNWFLvv70AmnXU1i378gKeffolXX33aIfsUer7hmaFYd2qszAG5o4boyEBnh8TmnFpW5brh6eNv+4F3MvW5azhtaDpBft4kRHtjGBaa2wzmL92Mb3A0Hl7BVLVbQFJps5poq5doxxerrOCuGlS1t4BXAuv2GGwqUBgU00ifCHFS4mxebgatHbaqGXtUpDU2NlFaWk5ycgIvvvgmT/3fSyiyzH33/XO/ipEjdfVVF3LHHQ8DUFhYSr9+Y/52G1mWUU1m3D08CQiJws3DixVrdlBRks899zxGn77xTJ0ynpNPnsTYsSOOaTj56tXrOeOMy/ANDOeyO2aRPmQCP348i9tvf4hHH30eN3c34mKj+eSTVwkODjrq7R+PfXfH3WQcsGqyqqqaqVPPJzc3j5CIWJIHTebiiWeS3H/kQbe5M3sFW9cuxNc/mNQBf3/MewNv34DOPzc3NyNJEoWFJZSUlFFVXYPmMYo5q9q495JzUE1mrJYOVJMbk8+5xnZschwJp786+8r7qSrN58orb+XXXz8nIyPVLtvtKqecciIPP/wsaxb9yMjJ050djiA4nGQYhx/d2dDQgJ+fH7O+2oyHp48j4hIEQegRWpsb+Pile1m3+CemzzidJ5+4j9DQ4C7ZV2NjE2+88SH/938vMvqkC7ngxicctsrRwh8/5PPXHuTtt//NOeec6pB9Cj1fU4uFLxa3Y2ku59qzEpzacldQJbMiR8HaVEpKpEFCXCje7gaqHfK7um5g0SS+WVxLU7vCaYN1wkP9j3/DwjGrb5H4ZaOJUUnHX3Gn6zqJSSOorakls38/sjdtZdSU8yjJ30lEoMrPP3962G20t7fz66/z2Lx5O5WV1ZSXV/Lrr/MASM0axcgp55KYPgwPb19U1YSimA568aGttZkdG5ayec18tq6ZT01lKZmZ6dxzz42cfPKkI04MGIZBWr+x1NU38ewnazG7ewBgtXSwav63NNbXYGlvY/HPHzFoQCpfffUOioMuiICtjfXXjSZMisH4NCvmvZfbdV3nqade4JtvfmLPngJGTTmPS2599rDb06wWbjo9EYAHX/+dyLjkrgzfZRmGwfN3ndM54yowMJCamj/n23n5+jNy8gw8vf354cOZnT8fc9IFXPRP+16camtt5t/3nIu1tYY/5n5JeHioXbdvb9NnXM2uvGruffHHHrMKpSC0tjRy+/QM6uvr8fX1PejtROJJEAShixmGwcp53/D1W4+BoXHP3TdyzTWXdNlywB9//CU333w/J55zLWddeZ9DDm4Mw+CD529n3ZIf+f67Dxg5ckiX71PoHZauK6SwvS99QnSGJWhOST79unArdaYs4kJ0hido2OmC/d/kFVayLC+QiEAzIxI1PNy6Zj/C4RkGzMlWqW2W8TQbBHobBHnre/9/9AnHPn2HIpu8CQ6LIjwmifNueJzPX3uQ3I3z2bx5wUF/b/v2XXz44Zd8/vl31NbWEhgSjm9ACN5+wfgGhDDhtMuJSUg/jvtpsHPTcn757CV2bFpOaloy0885lWnTJpOU1AdVPXRzxC23PMCHH37BhTf/H+WFOaxdNBtZURg77RJOOPMqzG7ubFu/hJcfuJi77rqJ++775zHHeiwqGyQWb1cxqTAmxUqAl8Gbb37EPfc8hn9QGAn9hnL21f86ohb1vJ0beebW0zntkjuYdoFj74erqSzNZ+43b1JXVUZ0QjpxSf0pzd/Jd+8feHXF+176kdjEzC6Jpa6qjGdvP4O46BB+/PFjvLw8u2Q/9jB37iJmzLiKO2d+RUL6UGeHIwh2IRJPgiAILqapoZbZHz3Pkl8+oU/feP7vqfs58cTxXbKv119/j/vvf4oBo6Zy8S3P4rWvNegvKksLmPfd2wSHxzJk/On4BR7flUKrpYNXHryU8sJtzP39S7vNDxGEvEpbtVFt8RamjoykT6S3wxJQhgHv/lJBS1MTN83o2+X7rW2G3zaZbDuuXc950zI799nUBt6iC89hNB1K6ySqGmSqmyVqmySsuoRZMegTqpMaqeFxhNcPzjzzcuravbjuobcAaKqv4d6Lh3LppTOYNGksW7fuID09jRNOGIOmaXz33c988MGXrF69Dh+/QIZPOodRU84jIjapy+7vruyVLJj9AVvXzqettQVJkggKDiYsLISI8BAiIkIJCwshLCwUs9lEdvY2Vq/ewMaNmwmPTqCsaDennz6VwMAAPv30W0xmd2595gui+6Tx86cvMvvjWTz11P1ceOF0/Px8MAyD2bN/Q1VVpk2b3GX3q6kNlu5UaWyVGJNq5earr2Lu3IW8Mns3inJ0U0c62lo7K7uE/WWv/IPXHr2y8+++ASFcfe+rJGUO7/J9F+7ezKy7ZzDphNF8+OErdmvnszdd1xk67CQCotK5+t5XnR2OINiFSDwJgiC4qKI92/jqjUfZsWk5p546hRdffILAwIDD/+JR+umn37nxpvtQzV5cdueLJGUM2+/f//juHb5+63HMZjMe3v784/7X6Zs2+Lj22dxYz/N3nY2Ph8SK5T+JUnLBbr7/fQuVWgzefsGE+OhkRbcQ7N81VYN/VVIrsWi7iWFx9fSNdMwJZ1mdxIJttinj/p4641KtNLVLlNbKZMUdevCx0HV0AxpaJPKqZHIrZEwKTOxnOaJk4L/+9RSf/fdnHnlrEWY3d1b88TUfPH/7AW/r5e1NS3Mz/QaNY9TU8+g//ERUU9e/1vexdLSRs3k11RVF1NdUUF9TQUNNBY11FdRXl1NXU4mua0TEJhKTkElccn+i+/bj7aeup7WlkSuvuICsrH7ccMM9nH/D44w/9VIMw+C/bzzCgh/eR5IkUlOTiYgIZd68xbi5u1FWutkusVutViZMOBuTSeW006YwefJYMjLS0A2ZpTtVyuslQpU9nDVlIgNHn8TZV/2L4PBYu+xbsOloawVweIJu08q5/Oexq7n55qt59NG7Hbrvo/HWWx9z731P8Pi7Sxy6GIwgdBWReBIEQXBhhmGwdtGPfPH6A3h7ufPWm88xZoz9rwoWFZXyj3/cwapVa5l24a2cfN5NnXM/Zn88i3Xzv2DB/G+49NKbWbc+m7ue/+a4y+F3bFzGC/ddwG+//Zdhwwba4278f3v3HdDk1fZx/BtI2EtABATFhVucda/iAvfee2ud1bpXXXWvulpXnbV1r6qPu2q17r0HoIACypBNkvcPnpc+trWiBO5gr89fEu/7nB+tkOTKOdcRAgCtTs+LKBMuPFQRE6/FLuU+TT4vnGnz6XR69l7UYW1ljm/xlCxbZRXxRkV4jIqHoSpiEkxTVz+hJ6cdVPFOSfcqG5F5YhPh6E0NzrY6qni/vxh48+Zd6tZtTelqjeg6fB7alGSu/naYa78d4sKJ3WnXmVtY4tuiD1XqtsEpl0dmfgsfTafToU1J+svJXAlxbzi2ew1Hd3xHXGwMbp4FGDFvJ1Y29mnXhD57xOPbl3h0+yLBT24T+PgOud1duXbtmEE+qEhKSiJXrre3HjrnzEkd32p06dIOnCsQEG4KCS+YPqwNL0JC6PHVEkpXqZ/huYXyju5azbbvvmbBgqmKnKoYl5h6IuY/iYl5Q7HiNajaoDPNuo/KmmBCZKL0Fp6Mcx2iEEJ84lQqFeVrNmbstwexz5mPJk0606RJF+bM+ZYzZ34nKSnJIPN4eLixd+96Ro78ggObF7LqmwGkJKeObWFpTVRkFDY21uzdu56CBb3YvmpahufMV6QsAA8fPs7wWEL8L1MTFe459HxeNJa4sHvEWZbk9nMT3v8R2sc5/ts94rWWWCY9ztLeUk42egq76fAvraVeySRehdwn/s1rahWTopOxsDaH/Lm0BEeaoE1H7/ESJYowb95kzh3ZxoMb5zFVaziyfWVa0UllYsKASWuY//MtGncabrRFJ0g9Le/vjoO3sLLBv/1gvl5zmgGT1vDVwr1vFZ0AXD0KUKVeGzoPnc2oRfsYOmMzQUHPmDvXMNuOzMzM2L17PT4+JQBo1m0UZWu14tTZmzRs2I5Lh76nZpFkTCxd+Hbzf/D3r8OqmQP4aeUUHt66gE6XsUbyQlmfN+1BzUZdGDZsApMmzSYlJSVL578bYvre5yNbWxu6dG7Nr79sJO5NVNYEE8IISOFJCCEUlMPZjcHTN9H+ixlEJVmzcPFaGjXqSPny9Tl27FeDzKFWqxk9ehAbNy7j5oVjrJk9CJ1OR5mqfuhRMWjQWDQaDR07tODpvaskJyVkcD4NFpZW3L37MMtf9Il/B1sbS3q3KEJxDy3XA9Us3faEy7eCDT6PjUsRVLp4Kpf2NPjY6aFSgaMNdPTzwtrOkdP31KTITjujYW+pJ0WrSvf/k3btmpM7txsHtizi2rkjPL1/DYAeo5bw7Z5HlKzo+86T6LITa1sHSlb0xcLS+r3XFizxGb7NezFjxiL27j1kkPlr1KjMvn0bAciR053m3UczbukhajXpzpQpc9BowynpqSU0SkPTAUuZvGg9T27+yryRrRjXpSJblo7jzpXTPH96j+TkRINkEllDpVLRtv/XtOw1jm+XrqFp0668eBGWZfO/fqPifuj7314PGtQTbXIix3avzYJUQhgHKTwJIYTCTExNqe7Xgf6TVjNny1VGLdyDjbMX7dr348yZ3w02j5+fL+vWLubq2UMc2LIYZ9c8dB42l5079zN37lJcXJxJSkxgeKsSzB7WhPPHdnz09+NTuT5LlqyieImaHDhwxGDfgxD/T6WCkp5aCtgEoDLVcD/aiwNX1Ww98oydh26kaxXKP9HrIThSQ+HcZpiYKNurzN5KRY2iKYRG6lmx8ykhL+VTcmPw/wsb0rMaLjExkf4DRvH8eQiRES9Y8XVPAOZtvU6Fmk2MthlyZkpKTGB8t8oc3bkKgCXfrknXfQkJiRw4cISZMxcxf/4KVq3aRHh4xFvXBAWlFqLNzFP7DP3/82xKSgpVqjamT/smnNo6BWtVOK6FqjBh+X/4+ZejdGjXkEdXj7N8Sg+Cn95l3ZyhUnzKZlQqFXVa9GHozB+5fS+A6jWacubM+SyZ29lWz9UAU15G//MvBVdXF7p3b8/x3atl1ZP41/j3PcsJIYQRMzE1xcvbhwGT11KgWHnatuvL8eOnDTa+v78vY8YMZv+mBdw4f5Sy1RrSuNNwZsxYxM2bdzl2bAczZozFw8WSdXOH8eDmxxW+un65gP6TVmFhm4uOHfuzZcvHFbGEeJ8KJd0Y0NyDaoWTcbbVE51oQaJdOfZc0nDtKTwPef3RY8fFxXPnzh3Dhc0AV3s9Hup72Di4cC7AibD3vLERmS8pRYUKPabveTUdGvqSZs26s2PHASytbQkNeghAty8XYGVr/883f8JiY17zKiwk7esC+fMSHR3zj/cEBj7Hp/TndOzYn5WrtrJw8RpGj56Gj8/nbNq0Le26ffsOYW1rT/EKtdIec/UsyLBZWylTsxUOHj4cO3aKLo2qcnzTeGzVMYTrC9K0xwSuXjvOpv1nqFCzES+Dn/DT8klSfMqGCpX4jNGL9uHoWpAmTbqwcOFK0tHaOEMK5NKi18Nv99Xv3XI3dGgfdClJHNuVvoKrENmdNBcXQhilu1dPExnxguLla2Fr76R0HEUkxMey+psB3L1ymiVLZtKuXTODjKvT6ejYcQCnTl9g1II9uOTOx7Fda/j5uym0b9+CxYuno9VqcXcvRfsvZlCtQft0j63X6zm6cxW/HtjAy+AAIPVI5ZrVyrJ+/bcGyS/E+0TF6Xn4Qs2DYD3JKVo8cyRQuagl5pr03R8dDzcCTQh6pYbw87RrbDxN8uOT4Ox9NeExKuJDztOtRVmlI/1rXXxsystoE/xLJ7/zmlOnfqNnr+HExiUSH/tHUWXEnG0UKF4hK2IatVcvn3P59AGunDnA4zuXMTM35/Pa1WjQoDbVqlUkf/68aU3Hk5KS8PPvSOCzcAZMWYtbHm8A3kS9YsvScTy8cZrbt37F2tqK1m16EfQymaEzt7xz7qTEBI7s+I6zh34kITaSBd9vQJ+jLDp96nwlPVO4ePowuw6cI6+3D0kJ8dRo2Cnz/6MIg9JqU9i7YT6HflpKgwa+rFgxG3v7dzdAzqirAaY8f2VC3ZLJmKn/+dpx42ay7oef+XrNGaz/xUVokb3JqXZCiGzr0q/7WTVzAAC1mnSjbb8pCidSjjYlmc3fjuPs4a2MHz+c4cP7GeTkn6ioGD73bUmiVsOIebuwsLTm9+M7WT9/BL51qrN2zSIqVvKnWKXGNO8+Ot3jHtu9lp9XTqZDh5b4+/ty6NBxtm0/SA4HW27dOpnh3EJ8iLCIaE5eeonKoSgA+shb+FfPi5Xlu48dOvHbfV7oC2Nloaawm5aCubSKb7X7M50ONuy7i3nOUhRzfUOpfNJxPKulaGHPJQ1eLjrKev19k6eHD59QsWKDtxpWV/fvRIseY7CwssmqqNnGq7Bgrpz5hatnDvD47hV0Wi0uuVyoXu0zSpcuwYkTZzl58je+nLMNr8Kl37o34sUzJvaszsyZ43B1daFHj6G07juZmo26vHfehLg3bFg4ktsXj3Hk12PcCMv937/RAypAT0jAPX7ZuoweXy029Lctssj180dYP284zk72rF+/mFKlir//po+g06f+q0nPS7WXL8Px8anN58370Ljzl5mSR4jMJqfaCSGyrYgXQQB0696BE3vW8TL4qbKBFGSq1tBpyCwadRrOtGnzGTlyikFO3bG3t2XTxqVEhj1nx39PsvusdnP6T1rNyZPnaNK0Cxq1Cc8e3fqgce9cPsnnn1dn6dJvaNiwLjVqVCY+Lobg4GCePw95/wBCGFBOJzta1StIozLJOGgiSbQqwt5LpgRFqP52G0RsIgQm5CPs+SPql0rG201ndEUnABMT6NqkCAVyJnIn1JqQ18aX8VOn04NWD0kpvHNLzZUrN9DpdGkn1I1bepAOX0yXotM7OOZ0x7dZT76cs525W68xcMo6StdoyZVbz5k8eS4PnkbQ5cv5fyk6ATjl8qB8zSaMGjWVrl0HUaR0Nar5dUjXvBZWNnQeOgdLG3vGDP8SOwstoMfN/Dl5zO7wde+qTPvCn8I+VQz7DYssVapiHUYt2gcaO+rWa8uGDT9nyjwmqvQVnQBcXJzp2bMjJ/asJTYmMlPyCGEs3rMAUAghsl6Zqn7sXT8XczM1uT3cObBpId1GLlQ6lmJUKhUNOwzBwSkXaxaPRqVSMXv2xAyvfCpSpBDt2zfn4NELaY8VL1+LITO2sG7OEF6GBMKTQHRabbpOWtLpdDy9d4XGA//4hLl+/dpYWFiQmJjI4cMn6N49/dv2hDAUcw34lrHm1oPnhKd4cOa+KYmxEVgkBdG8XjHM1BAaHsf1YDsc7NQ0LJ3rvVskjEG5AioiYxM5fCmBzp9bGmWR7FNlpoby+bWcf6gmKk6FTx4trg5/VKACA58xffoi3PMUYsIKOWDhQ1la2VKiQm1KVKgNpG7jft9zXqehsylUshJungXJX6z8Bz1HWljZ0HHwbK6fP0J0gilLJ3bl9uVT6HQ63PMUYvJ3x8npljdD35NQXk63PHw5dzs/rZjM4MFjefIkkIkTlV1pNHhwL1av3sThn5fTvMcYRbMIkZlkxZMQwujkdMtLdf9ObNy0g/LlShESdF/pSEahav12dBg0k1WrNjJ+/DcGaZLp5eXJy+AA4mOj0x7LV6QM45YdpmGHoVT0bYEqnactvXz+mDfRkVSo8Ec/HFtbGwoW9MLWwYn5C1by7JmsehLKKV7IjZpFtfgWTyLy5VN0DqXYdVHDT2f1HL1jTWyCjqqFtTjleP8x8MbARAUpr+5gbu3AsxfR779BGFS+nDp8iydjagIn7mg499AUnQ4ePHhMA78OxCfBgClyXLohpKeIpNGYU61BewoUr/BRH8yYW9nQvMcYTu3fgLO7FzUbdwOgec9xUnT6hGjMLOg4+BuadRvFggUrOHLklKJ5XFyc+fLLfhzZ+T1P711VNIsQmUl6PAkhjNKbqFdM6lWDuNgYXD3yMem7E0pHMhon9v7A1uUTGTasHxMmDM/Qyqfg4FBKlaqFV+EyJCXE4upZkK4jFmJq+uHLPc4e/omNi77i6dNL2Nn98VxRo2ZzsHAlJOAudjYafjmwGRcX54/OLIShxCdBUIQJIS9e8+TRQ1o1KI6NtYXSsT5IcgrsuqShkKuO0nn/vteQyFx6PTwNM+H3x6ZEBlxg8tDOOLp4Mmj6JhyccikdT6RTcMB9Tu3fgFfhMlTybQFAbEyUNH3+ROl0OpZN7saLp7c4c2avoq9LkpOTqVevLS9exTN60X7MzLPX85D4d5MeT0KIbM3G3pF6bQYCUKlOG4XTGJdajbvSqvcEFixYwaxZGTspzt3dlX79uuFko6daxSJc+nU/h7Yu/aixAh/eIF9+r7eKToGBz7hx/Saf1W7GoOmbePU6Fj//Dly79mG9o4TIDJZm4O2mo2Zpe7q1LJftik4AGjUUdddyL1jF/ScvlY7zL6XnwomdnNyzlpMnTlKjcXdGzt8lRadsxj2vN+0GTE0rOgFSdPqEmZiY0GXYPJK18NVXXyuaRaPRsHz5LCJeBLFn/RxFswiRWaTwJIQwWnVb9mXiiv9Qv80ApaMYHd/mvWjWbRSzZi1m/vwVGRpr2rTRHDr0I8uWzcbXtzp7N87n4NalhAQ++KBx3PIU4umTAIYMGc+jR08B2LfvP6g1ZpSoUBsXdy+GfrOVFKyoU7c1K1f+kKHcQohU3q4pRL0O48jFSKWj/OtcvHiVuvXa0rfvCO5eP0/lum1p3n20NBAXIhuwy5GTqn4d+e3cJaWjUKRIISaMH8axXat5cOO80nGEMDgpPAkhjJaJiQluebyVjmG06rcZQMOOw5g6dR5Ll64xyJgtWjTCxsaGI9uWMuMLP0KfPUr3vdX8OtCk61fs3neMChXq0apVT1as+IGiZaqnvQnL5ZGfkfN3Ud2vE6NHT+P6dVn5JERGmWlMKO6WgKNHCZ6EyUu7rPD8eQh9+o6gbt3WvHyVyLBvfqTPuJXkdMujdDQhxAcwM7MgPj5B6Rg8exaCo6MDRYp6s2HhCBLiY5WOJIRByasTIYTIxhp2GEL9NgMZP34ms2YtQafTZWi8du2aERR0hQcPzmFra8OZQz+m+15TUzX1W/dn6prTtB84neDXesxsXandpPtb16k1ZrTsNQ5rWweWLFmdobxCiFRVy7jhlVPLhUcm3HkoTfz/TlxcPGPGTOeLL8YQEfHqo8Z4/DiAfv2/okzZOhw6fJqOg79h9KJ9eJeqbOC0QoisEB0ZTq5cOZWOwZIl3zNw4Gju3X3Am8gwdqyeoXQkIQwqGxwWLIQQ4l1UKhVNu47EzMycWbMWcP73K3y3cg7Ozk4ZGtfS0oJ27Zqxact2mnYZiVpjlu57NWYWVPfvSHX/ju+8xlStoU2/yaydM5Q6dWrStm3TDOUVQkBZrxSu3Y3gZKge7/xgKh8vvuXRo6esWLEOgMjIKNauXURCQiJr124hJUWLg4MdPj7FKVGiCObm5mknh6pUKqKjY1i06HuWfLsaW3snGnceQbUG7bG0fncjVSGE8UtOTMDS0lLpGOTJ4wGAja0NEycMZ8SIyZSuXI9i5WoqnEwIw5DCkxBCZHMqlQr/DkPwKlKGdXOGUL1GM37aupKSJYtlaNzOnVuzfPlarp8/Qtlq/gZK+4fPajfn9qVTDB4yDmdnR3x9qxt8DiH+TczUKj7Ll8D96HzcCNRR2ktOuftfJUsWpVatqpw4cYYDB45Qr347TFRw+fJ1zC0sSUlORqtNQaPRkJycnHZfvfq1OXHiLHo91G3Vn/qt+mNmofwbVSFExiUlJWBpYa50DIoUKQRAdFQ0N27coVw5HzYu+orxyw5jZSNN7kX2J5+FCSHEJ6JY2RqMWXIAtYUDAweOzfC2u6JFC1GufBnOHk7/drsP1XHINxT2qUb7Dv04fVqaaQqRUWWKe1Aqj5a7ISbceRSmdByjM2HCcACq+3fiZUQ8gcGv6T5yIQt33GXB9lsMm7X1raITwJNnb2jS5SumrDpJ407DpegkxCckdcWT8ieaVq36GQ4ODgD88MNWKlYsS0pSHD+vnKJsMCEMRApPQgjxCcnh7Ea7AdO4ceMW27fvy/B4Xbu05valU9y6eCLj4f6GRmNOn3EryF+0PD17Df/ovitCiD94u+lIiI3i8MUopaMYnbJlS9GwYV1uXzpBr7HL+Xr1r3xWuzkAz5/eY8GotmnX1mjYiZkbfmf4nG34Nu9FDmc3pWILITJJclIClpbKr3iysDCneXM/ANRqNadO/UZMdDTnjm7n0a0LCqcTIuOk8CSEEJ+YAsUr4FO5HlOnLiAxMTFDY7Vs2YgaNarw7cSuTOhRlfULRnDv2tm03ieGoNaY0W3EQuITkqlXry3ffbeeqKgYg40vxL+NqQnkyWVBLo9C6HSG+1nNrv68+nP8+GHEx7zi6351+Lqfb9rpURdO7AbAy7s009amHpLg4JQry/MKIbJOZHgwDg7GsZWtQoXSADg42HPz5t20x6+c+UWhREIYjhSehBDiE+TXbjBBQc84depchsaxsrJk5861bN68grYt6xH84HcWjmnPpVMZX031vxyccjFo2iYcchdn7NiZFCtWjaFDxxMUFGzQeYT4t3BzVKNWq9FmbMftJ6FVq174+XXg5ctwANzdXenSpTUAcW+iSUlOLdC37jORZfufMmrhbpxyeSqWVwiRNUICHxD0+A7+/r5KRwGgXDkfAMLDI9Ies7XPQd1W/ZSKJITBSOFJCCEUtPuH2cwYWJ9Lv+436Lhxb1K32OTN65HhsVQqFX5+vkybNoYrl/+DrZ0dES+fZXjcP/MsUJzeY5Yxbd1Zajfvy849R2nTtjcJCRlbtSXEv5GbfRLJWj0/H7iidBRFJSYmcvr0Oc6fv0it2i3wrdOaAgUr8v2qTTi75iH6dRi/H9+ddr1KpVIwrRAiK104sRtbOzvq1q2ldBQAChbM95fHipWrjb2jiwJphDAsKTwJIYSCzhzcTNCTu2xdNg6tNsVg4z69dwVbO7u/fRGTESqVChOVCm1K8vsv/kgOTrlo1HEog6dt4tGjAKZMmZtpcwnxqXKwUfP6+R00OcvxJkHpNMq5e/chycnJ9BqzlFxepUjAHhNTNSnJyYSHBgLgXaqSwimFEFlNr9dz6eQemjSuh4URnGoHYGJiwpw5k996zC5HTmXCCGFgUngSQggFOTi5UrZsKWKiXhu0eeTTe1cpV7YkJiaG/zVftlwpTuxZS1hIgMHH/l+58xWhabdRrFixjuPHT2fqXEJ8ino0K4SFuZrjt025dCNzf16Nzc2bdwkJeUFAQBAAji4eWNnYc/vSSZIS4gFo3Gk4c7dexyNfUSWjCiEU8PTeVV6GBNC6dWOlo7ylW7e2eBculPa1KhNexwmhBPmXLIQQCokMDyUy4gWlShXD1c2Va+f+Y5Bx4+NieHDjHJUrlzPIeH+26vt5ODrY8PPKyZky/v+q3aQ7RctUo/+A0bx69TrT5xPiU2KhgVpFk4mKjOJupBcXHqTwKfcaf/kynCtXbrBy5Q9Ur96YYsWqMXnyXCysbJg1tAlnD/8EQN2WfZm/7Sb+HYZgbWscTYWFEFnr1sUT2NvbU61aRaWjvEWtVtO3T6e0ryNeGL61gRBKkMKTEEIoIDk5ke9n9MPG2pwxY4ZQonhhXjx7aJCxzx7+ieSkBDp1am2Q8f7M0TEHRYsWzJSx/8zExIQuw+YRG5fI0KETDHqanhD/BraW0KKyBkd1CI/DLbny1BS9Htas2UypUjVZs2az0hENomHDThQuXJnPP2/B2LEz0ranvAiLJCHuDQBlqjRg+rqztOg5FksrWyXjCiEU9vDW71SuXB5TU1Olo7xlzZrNzJ+/PO3rS6f2otNqFUwkhGFI4UkIIRRw4/wRHt+9Qi4XZy5evMqVKzfxyF8iw+NqtSmc3LOW5i0a4u7uaoCkf+/FywjMLW0ybfz/5eDsSodB37B37yGGDp2AVl6ACfFBrCzN8avsStl8KTwINWX1zxdYuHAlQUHBLFy4Uul4BnHt2s20P9ds1JWajboAqQctNO8+mnHf/kKf8StxdMmtVEQhhJFISU7iyd3LVKv2mdJR/mLhwpU8fx6KjY112mP3rp1VMJEQhiGFJyGEUIBPpXp0GDSTyDgVHTv2JyIiwiANbq+eOUhYaBADB3Q3QMp3q1unOlfPHuTFs8eZOs//K1PVjy7D57Fx0za6dx9CYqKcdCfEhyrkqufVk7PYeFZl+NhJeHq6M3RoX6VjGUTjxvUwM09tEJwQH8veDfMAyO3ljW+L3njkL6ZkPCGEEQl4cJ2kxASqVKmgdJS/GDq0L56e7gwa1DPtsa0rJimYSAjDUOnTsW8hOjoae3t75m+7KUuThRDCwIIe3SLw4Q0q122ToWbgj+9eZunErlSuVIZtP68yYMK/iouLp1z5ehQq7UuHQTMyda7/de3cf1j9zUAqlPdhyJDe1KhR2WhOoxEiO9Dr4dgtNQnJKhr4JGP6iXwEqdfrWbToO6ZMmUsOZzdeh4fg5V2KgV+vx8Yuh9LxhBBG5ODWpRzZvoynTy7w3Xcb2L59P02b1mfAgO6o1Wql46Vp2bIHx479CsCUVSdxcfdSNpAQfyM+LobhrUoQFRWFnZ3dO68znp8sIYT4l/IsUBzPAsUzNEZSYgKLxrQnKTEBM42a0NCXuLq6GCjhX1lZWZIjhwMmWdwbwadSXb6Yup5Ni76ibdveWFlZ0bJlI+rUqc7hwydISdHi5JSDsmVLUaFCGTw93VGpVFmaUQhjplJB+fxaDlw1Ye32K/RqXUbpSAaxbdtepkyZS6lKdbn+34Ma+k9eK0UnIcRfPLx1nooVy6JWq1m9ejOPHz/lypXrxMTE0qyZHxqNGm/vAkrHZPDgXmmFp+VTejJp5VGFEwnx8aTwJIQQRiQ5KYHnT+5ibmmFhZUtFlY2mFtY/+NKqPs3znFyzzqSEhOwsLLhl1+O0qlTK/z962Ru1uRktNqUTJ3j73iXrMTk708SEviAq2cPsnP3ajZs+AkPr8JY2tgR9eoKy5atBcAllwu1alVhwfyvsbKyzPKsQhgjeys9kQG/Y+9ZgchYPQ7W2atp/9Gjv7Lyu/VYWVqSJ09uHj8O4NCh41Sq0wprWwcAxizeh52Ds7JBhRBGR6tN4fHtS7T4MnWb8YwZY2nXrg96vZ65c5cyd+5SbGxtOXTwR4oV81Y0a40alfHyysvTpwGkJCeRnJyIRiOrvEX2JIUnIYQwIsd2r2XX2m/eeszcwhJ3r8K45y2CR/6i5PYqiompKZERLzh/dDs3fk/9BCy3V2EadRrOyml9yZcvb6ZnreNbjU1b9lKvVT9yumX+fP9LpVLhntcb97ze1GrclejXYbh6/nHSXnRkOE/uXGbT4tH85/BJOQ1PiD/p3aYcR2+ZcPy2iqoF43DJoVE6UrokJCTSoUM/kpKSKFK6Cr9duI2tgzNNu40mPu4Nvx3eyvT153B0dlM6qhDCCMW/iSY+7k1a8+769WvTpEkDbtwLxadyfVQqE3auncmBA0cULzypVCqGDevD0KHjCQ8NZFzXKszefEnRTEJ8rE9kZ78QQnwa7B1Tt8dNnTqan39ezZo1ixg/bggVS+fj9bNr7Fg1jfmj2jB3REtWzRxAZMg91q1bTJ26NdFqteRwdgfg5s07mZ518ODe5HS2Z/7IVjx7kvnzvYuVjf1bRScAOwdnnF3zEBMVwezZE7C2tlIonRDGSW0KtYqmoE2KZc/5BO4+eqF0pHSxsDBn0KBeAFT378SUVacYMXcHsTGRHNi8kNfhIdjYyvY6IcTfs7F3pFyNRsxfsJKAgCBevAjj9p0H5PIsSP02A9Ku8/PzVTDlH1q3boKDgwMAMZHhvAx+qmgeIT6WNBcXQggjotWmMG9EC0ID7zNkSG8GDer11hax5ORkHjx4AoC7ey7s7e1QqVScPn2eDh0HYGHtQFhIIFZWVuzfv4nSpUtkat6wsAhatuzJ4yfP6D95DQWKlc/U+T7E0Z2r2LN+Nk+fXMTS0kLpOEIYpeDQ1xy+rsLGPiclPbUUzKXF1NS4+6Lp9Xp69RrGvv1HGTrzRzRm5kz/wg+A4bN+olDJigonFEIYs9fhIcwc5E9M1CsATExNGTJjMy+CHrH527EMHtybKVO+UjjlH6ZOnc/ixatISUmmYYehNOo0TOlIQqRJb3NxKTwJIYSRiY+L4eCP33Js9xpy5nRi7ZqFVKxY9r33PXz4hIkTZ/PLL0cAyJnTifv3z2V2XKKiYmjXri9Xrt6kVZ9JVKnXNkOn8xnKssk9cDCPY8+e9UpHEcKoJaXAjUBTHrwwISI0gBolzChZyLj7IyUkJOLn157wqCTCQoJITIijZqMutBswVeloQohsIPTZI07/splcufOTp2BJ3kS/YumkbvTu3YlvvplgVAeTBAeHUqpULbRaLQBL9z0xitdZQkD6C0/yL1YIIYyMpZUtzXuMYeKKI9jk8KBxk85s3br7vfcVLJiPzZuXc/bsAX74YQn792/OgrRgb2/L9u2radHcj02LRzP3y+YE3L+eJXP/E71eh5lZ9uhbI4SSzNRQLr8Wb9vHqE303I5w49kr43nT9XcsLFIb7Gq1OhIT4gBo0XOckpGEENmIq0cBWvWeQHX/jtg7uvDDvGF87luDmTPHG1XRCcDd3ZWmTf3Svr539YyCaYT4OFJ4EkIII5XTLS+DZmyifI2m9Os3gokTZ5GQkPje+4oWLUSTJg0oVCh/FqRMZWVlybJlszhwYAuWpgnMGtaEzUvGEh8bnWUZ/ixvIR8uX74hjcWFSKeyJTzp3Tg3Ho46ztxTc/TMPaUjvdO9ew+5evUGIYEPAPhq/i7MzGVLrRDiw4SFBLJm9iCsrcxYuWK20a4kGjCgW9qfD2xZpFwQIT6Scf5kCSGEAECjMafzsDm06DmW5ct/oHKVRhw79qvSsd6pcuXynDy5k5kzx3Hp5E72b1qoWBbvUpV4/fo1ly5dUyyDENmNiQlULqTl9csgbjxJUDTLPxWNt27djVqduqKxSr225CtSJqtiCSE+EQe2LGZiz+o8un2R1avm4+TkqHSkdypXzgcfn9S+nQ9vXSDiRZDCiYT4MFJ4EkIII6dSqajbsi9jv/0Fc1s3WrbsQa9ew4iPV/ZN4buo1Wr69u1Ky5aNuHtFuSJZweKf4eDowpo1WxTLIER2ZKKCwnltKVD0/b3lMsvRo7/i6OjNli07/vJ3Op2OLVt2kpKSDIBfuy+yOp4Q4hPg6lkAgEqVy1O5svEcjvIugwb1TPvzib0/KJhEiA8nhSchhMgm3PIUYsjMLXT9cj579x1hzJhpSkf6R7VqVeF5wH0iI5Q5pt3E1JQG7QezZcsODhw4qkgGIbIrO3s7RbecFCiQF4ABA0bRvfsQ7t9/lPZ3W7bsIDQ09fdKoRIVcXbNo0hGIUT2VrZaQ/pN+J6zZ35n48ZtSsd5ryZN6uPk5ATAkR3fk5RonB9ACvF3pPAkhBDZiEqlopJvSxp2GMbGjduMdtUTQI0alQC4du6wchn8O1G8XE3Gjp3BmzexiuUQIru59iAKXXyoYvN7eeWhWTN/AE6evkTlyv707TeS777bwLhx36Rd59d+sFIRhRCfAJ/K9ShfswkzZi426tdUABqN5q1eTxdO7FIsixAfSgpPQgiRDRX2qYJWq+Xq1ZtKR3knZ2cnWrRoyMEti0mIV6boo1KpaNVnIi/DXtGoUSdevgxXJIcQ2Y1KBclJyYpm+OKLHgDkdM9HDpfc/LR1F6NGfY2ze4G0a4qUrqpUPCHEJ6Jxp+G8fBnGmjVZcxpwRnTr1haNJrW/3cZFoxROI0T6SeFJCCGyIY8CxXBxy8usWUuIiopROs47TZo0kvjYKA79tEyxDK6eBRk26ycCnoVRp05raTYuRDpULGZHknkeQiKVO1a8XDkf5syZjIsdxEaGAWBpZUPNxt0AaNJ1pNEdey6EyH5ccuejSt02zJu3guho431NBeDomIP27VukfR0ZrtzKVCE+hBSehBAiGzI1VdOqzyR+O3eZ0mU+Z86cb9m37zCXL18nKSlJ6Xhp8uTJzcCBPTi64zt+WjGZ8NBARXJ4FijOiLk7UFs5U79+WyZOnMX585eN6r+VEMakqLsODfGcu6bsm5pevTqyd+8GAgIucfDgVpKTEnh46wIWltZU/LzF+wcQQoh08O8whDexcaxYsU6xDPFJ8CYdu/369++a1oMvPi46k1MJYRhSeBJCiGyqZEVfpqw6RclKDZk7dyWdOw/E17clxYrVYOrU+UbTq2DkyIEMGdKLa6d3M7V/XU7uW/+Px6RnFqdcHnw5Zxv12wxk1eofadCgLV5e5WnWrBtz5y7j3LlLUogS4r9UKggNCSEwMFjpKACYmZnx2WdlsLSy4uGtCyTExxIZHqJ0LCHEJyKHsxs1GnZm8ZI1vHr1Okvn1uvheqApey9rOHBVQ+h7VpoWKVKI6dPHABD06FZWRBQiw1T6dLz6j46Oxt7envnbbmJpZZsVuYQQQnwAvV5PbPRrwkICuHByD2cPbqZ69Ups2rQUMzMzpeMBEBcXz+TJc/j++w006ToSv7bKHYGu1aYQ9OgWD26c48GNczy6dYG42BgcHR05eXIXHh5uimUTwhjo9fDTeQ2Fc8VTOp9a6TgAbN68nYEDR5OnYEkCH96g38RV+FSqq3QsIcQnIiYqgok9q9OjW9u0wk5m0+nh8hNTHr4wTXtMbaKnXqlk7CzffZ9er2fAwFHs2P4LU1adxMHZNQvSCvFX8XExDG9VgqioKOzs7N55nax4EkKIT4BKpcLG3pF8RcrQpu8k+k5czclTv9Gjx1AuXLhCRMQrpSNiZWXJ7NkTyZEjBzqtVtEspqZqvLx9qNuyLwMmr2XOj9cYtXAPb2Lj2LXrgKLZhDAWTtZ6HoSaERbxRukopKSkMH3GYsrXaIxL7nwAxETKYQFCCMOxtXeifuuBrFz5A7//fiXT50tIhlN31G8VnQBSdCruBpu+465UKpWKWd9MQK024deDxt8UXQgpPAkhxCeoaJlq9B6znEOHTlCvXhsKFqxI6dK+H9RYOyoqhu3b9xk8m1anJfp1mMHHzQgTU1O8vH1wcc/Lw4dPlI4jhOJUKiidJ4lkLRy8bkaCwrtQjx79leDnwdRp2ReNmTmA0f0eEUJkf3Vb9SWvtw99+owgJia16P70aSDTpy+gXr22+NZpzapVmzI8T0wCHLymITTq79+OP39lgu49+5Ls7Gxp3tyfK6f3ZzhPZtJptdy+dJLLpw/w6PZFxU46FsoyjrXTQgghDK5kRV9mbvidyFcvCA18yLFdq2jbti+HD28lf/68772/adPOXLt2i1q1quDk5GiwXEMG92bq1Hk45nSnfpsBRLx4hq29E2YW/7CmPIsULFmZQ4cPotPp0hp3CvFv5WxvgqflU56bFmD/VahWOAVnWz2mCvxoeHrmBiA06AGm6tSjxGOiIrI+iBDik2ZqqqbbiIXM+MKPzp2/YMuWFYwZM51jx8/i6OJBaNBD/BrUzvA8r2NVJCS/u5dTYoqKpBSw0PzzOFWqlGfz5u3Ex8UYZUucoEe3mDHI/2//Lm+hktjYO1GuRmMq12mVxclEVpNX1UII8QmzsXfEI19RytdszIAp69BY2tO2XV/i4uL/8b7ffrvItWupDSvDwgz75m748H6MHPkFu9bNYvWsQYzvXpUZg/x4/vSeQef5GOWrNyI0JJSDB48pHUUIo1C9XB6cbfQka1Ucv61J14lLmaFYMW9KlynF7UsnMTFJ3YIS81q22gkhDC+nW14GTF7LufOXqVK1MQcPHsPFPS95vX3wLlyIYcP6ZngOT0c9ZfKmYKb++2VNthZ6zNOxRKRMmVLo9XoCH9zIcKbMZGVjh2f+Ym89FvDgBrcunmD9/C/ZsHAk2pRkhdKJrCArnoQQ4l/Cxi4HfSd8z8zBDRk5cgoLF05Fo9GQkJDI9u17OX78DBqNBnNzM7Zt24e9Y06iXoVlSn+oMWMGExLygo0bfwZArUpk9rAmtBs4XdFPvfIXK0/RMtWYOGkOdevWRKN5z0eNQnzidHqwMEttZKtSqXgTr8Xe6p97j2SWShXLsGPPCUpVqgdATKRstRNCZI5CJSsyYt5ODv+8nCStmnI1mvL47mXyeXlgaprx34EqFRR21+HhpOP4LQ1vEt9e/VQ+fwqqfz7cDgBv7/xYW1sT8OA6hX2qZDjX+5w7up3XYcHUadkHjcb8vdd7FijO8gMBbz0W9yaKZ49vpx7ycvN3rv12iLOHf0Kv09N52BxU6fnGRbbzQYWnhDjlm0sKIYT4ePZOuWjeYxxbVk7ixo07VKtWkR9/3MXr16/x8vbBxNQUbVIiRcrUpFn3MXzdvw5nz16kZMli7x/8A5UtWyqt8LR61QJWr97E+vlfcu/aWVr0GIvG/P0vaDKDf/uhzB/Vmn79v2LO7Imo1X88VSYlJaFWq2UbnvjX0OuhpCuYpSRxK9SGM7d1VC2cgo056XpTZEglShRlxYofsHfKBcD9G+eJjgxP6/kkhBCG5JTLg/ZfTE/7+uaFo1i6uRAdHWPQeYrnUnHyrho9qb9UXex0WKpSiI5OZ05nJyLDQ4mPM2yuP4uNes2PS8eRmBDPhRM7adB2MIVKfIaFtS1vol7x/PEdNBaWmJtboTJRERxwn6CHNzG3tMa/w+C0cVQmJngWLIFnwRJUqd+Wk3t92P3DbH478jNJiXH4tR+Co4t7pn4vwnDSWyNS6fX697Qtg4SEBPLly0doaGiGgwkhhBBCCCGEEEKI7M/V1ZUnT55gYWHxzmvSVXiC1OJTUpLCR5oIIYQQQgghhBBCCKNgZmb2j0Un+IDCkxBCCCGEEEIIIYQQH0KaVAghhBBCCCGEEEKITCGFJyGEEEIIIYQQQgiRKaTwJIQQQgghhBBCCCEyhRSehBBCCCGEEEIIIUSmkMKTEEIIIYQQQgghhMgUUngSQgghhBBCCCGEEJlCCk9CCCGEEEIIIYQQIlP8H78hqDNthrBgAAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 1500x1000 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "locationGetter.plot_coords()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -72,7 +52,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -90,7 +70,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -104,39 +84,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f9739bfa950>,\n",
-       " <matplotlib.lines.Line2D at 0x7f971bb170a0>,\n",
-       " <matplotlib.lines.Line2D at 0x7f971bb16830>,\n",
-       " <matplotlib.lines.Line2D at 0x7f971bb165c0>,\n",
-       " <matplotlib.lines.Line2D at 0x7f971bb16950>,\n",
-       " <matplotlib.lines.Line2D at 0x7f97136a25c0>,\n",
-       " <matplotlib.lines.Line2D at 0x7f97136a24d0>,\n",
-       " <matplotlib.lines.Line2D at 0x7f97136a3520>,\n",
-       " <matplotlib.lines.Line2D at 0x7f97136a0640>,\n",
-       " <matplotlib.lines.Line2D at 0x7f9717fc44c0>]"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# this plot is not great because there are a lot of rows with zero values\n",
     "# each line represents the temperature at a fixed distance over time.\n",
@@ -145,30 +95,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x7f973c562800>"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x1800 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "single_location_irradiance = pysam_fake_res.isel(latitude=0, longitude=3)[\"ground_irradiance\"]\n",
     "\n",
@@ -180,474 +109,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;ground_irradiance&#x27; (time: 17520, distance: 10)&gt; Size: 1MB\n",
-       "dask.array&lt;getitem, shape=(17520, 10), dtype=float64, chunksize=(17520, 10), chunktype=numpy.ndarray&gt;\n",
-       "Coordinates:\n",
-       "    latitude   float32 4B 28.13\n",
-       "    longitude  float32 4B -99.94\n",
-       "  * time       (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T23:30:00\n",
-       "  * distance   (distance) int64 80B 0 1 2 3 4 5 6 7 8 9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ground_irradiance'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 17520</li><li><span class='xr-has-index'>distance</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d7268aa5-f6f2-4647-9ef8-c89c27a516ab' class='xr-array-in' type='checkbox' checked><label for='section-d7268aa5-f6f2-4647-9ef8-c89c27a516ab' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(17520, 10), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.34 MiB </td>\n",
-       "                        <td> 1.34 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (17520, 10) </td>\n",
-       "                        <td> (17520, 10) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 21 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10</text>\n",
-       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">17520</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-90028939-2ba5-416a-b585-3cd15e6f46d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90028939-2ba5-416a-b585-3cd15e6f46d0' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>28.13</div><input id='attrs-8ffc1727-9b49-4a48-ada6-73bd99def0ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ffc1727-9b49-4a48-ada6-73bd99def0ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d097c34f-4a91-4d1b-b9b9-9c64894259f1' class='xr-var-data-in' type='checkbox'><label for='data-d097c34f-4a91-4d1b-b9b9-9c64894259f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(28.13, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-99.94</div><input id='attrs-4a9f1f68-383f-4a07-a87b-6600d95457c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a9f1f68-383f-4a07-a87b-6600d95457c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f132b27a-462a-41ec-9f87-319f4f028010' class='xr-var-data-in' type='checkbox'><label for='data-f132b27a-462a-41ec-9f87-319f4f028010' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(-99.94, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:30:00</div><input id='attrs-48962112-3d25-437d-93d9-1e3c13ce81c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48962112-3d25-437d-93d9-1e3c13ce81c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-845d8b79-2b7a-4b86-8fa5-52dab2fa5ea0' class='xr-var-data-in' type='checkbox'><label for='data-845d8b79-2b7a-4b86-8fa5-52dab2fa5ea0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T00:30:00.000000000&#x27;,\n",
-       "       &#x27;2022-01-01T01:00:00.000000000&#x27;, ..., &#x27;2022-12-31T22:30:00.000000000&#x27;,\n",
-       "       &#x27;2022-12-31T23:00:00.000000000&#x27;, &#x27;2022-12-31T23:30:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>distance</span></div><div class='xr-var-dims'>(distance)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-db7bc1bf-248b-4883-9df0-3c320d4f7a17' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db7bc1bf-248b-4883-9df0-3c320d4f7a17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-706daa80-5295-417a-a74b-19fc67db4733' class='xr-var-data-in' type='checkbox'><label for='data-706daa80-5295-417a-a74b-19fc67db4733' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b731453-97a0-4d00-a85a-727350e4da27' class='xr-section-summary-in' type='checkbox'  ><label for='section-8b731453-97a0-4d00-a85a-727350e4da27' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f6e4d5e9-5776-4798-bc5c-2b8083f42e32' class='xr-index-data-in' type='checkbox'/><label for='index-f6e4d5e9-5776-4798-bc5c-2b8083f42e32' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 00:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 01:00:00&#x27;, &#x27;2022-01-01 01:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 02:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 03:00:00&#x27;, &#x27;2022-01-01 03:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 04:30:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2022-12-31 19:00:00&#x27;, &#x27;2022-12-31 19:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 20:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 21:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 22:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 23:00:00&#x27;, &#x27;2022-12-31 23:30:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=17520, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>distance</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-148a3b62-cb9e-4cb9-9c48-4e246e346d7c' class='xr-index-data-in' type='checkbox'/><label for='index-148a3b62-cb9e-4cb9-9c48-4e246e346d7c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;distance&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a7813828-d50f-4ba9-9d97-b370a714929b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a7813828-d50f-4ba9-9d97-b370a714929b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'ground_irradiance' (time: 17520, distance: 10)> Size: 1MB\n",
-       "dask.array<getitem, shape=(17520, 10), dtype=float64, chunksize=(17520, 10), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "    latitude   float32 4B 28.13\n",
-       "    longitude  float32 4B -99.94\n",
-       "  * time       (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T23:30:00\n",
-       "  * distance   (distance) int64 80B 0 1 2 3 4 5 6 7 8 9"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pysam_fake_res.isel(latitude=0, longitude=3)[\"ground_irradiance\"]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -658,30 +129,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x7f9721b82ef0>"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plt.figure(figsize=(10,6))\n",
     "plt.scatter(np.arange(nonzero_da.sizes[\"time\"]), nonzero_da.time, s=0.1)"
@@ -696,30 +146,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x7f9713667670>"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x1800 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plt.figure(figsize=(6,18))\n",
     "\n",
@@ -766,29 +195,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'01': '/home/tford/dev/InSPIRE/Studies/USMap_Doubleday_2024/SAM/01/01_pvsamv1.json',\n",
-       " '02': '/home/tford/dev/InSPIRE/Studies/USMap_Doubleday_2024/SAM/02/02_pvsamv1.json',\n",
-       " '03': '/home/tford/dev/InSPIRE/Studies/USMap_Doubleday_2024/SAM/03/03_pvsamv1.json',\n",
-       " '04': '/home/tford/dev/InSPIRE/Studies/USMap_Doubleday_2024/SAM/04/04_pvsamv1.json',\n",
-       " '05': '/home/tford/dev/InSPIRE/Studies/USMap_Doubleday_2024/SAM/05/05_pvsamv1.json',\n",
-       " '06': '/home/tford/dev/InSPIRE/Studies/USMap_Doubleday_2024/SAM/06/06_pvsamv1.json',\n",
-       " '07': '/home/tford/dev/InSPIRE/Studies/USMap_Doubleday_2024/SAM/07/07_pvsamv1.json',\n",
-       " '08': '/home/tford/dev/InSPIRE/Studies/USMap_Doubleday_2024/SAM/08/08_pvsamv1.json',\n",
-       " '09': '/home/tford/dev/InSPIRE/Studies/USMap_Doubleday_2024/SAM/09/09_pvsamv1.json',\n",
-       " '10': '/home/tford/dev/InSPIRE/Studies/USMap_Doubleday_2024/SAM/10/10_pvsamv1.json'}"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "weather_df = geo_weather.isel(gid=0).to_dataframe()\n",
     "meta_dict = geo_meta.iloc[0].to_dict()\n",
@@ -813,7 +222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -829,1382 +238,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
-       "Dimensions:            (time: 17520, distance: 10)\n",
-       "Coordinates:\n",
-       "  * time               (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T...\n",
-       "  * distance           (distance) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "Data variables:\n",
-       "    annual_poa         float64 8B 2.736e+05\n",
-       "    ground_irradiance  (time, distance) float64 1MB dask.array&lt;chunksize=(17520, 10), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-59d2245c-c76a-4ef0-b43b-296b3a23ab7b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59d2245c-c76a-4ef0-b43b-296b3a23ab7b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 17520</li><li><span class='xr-has-index'>distance</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-352365a7-b55a-4ddc-aaf7-0876210505c6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-352365a7-b55a-4ddc-aaf7-0876210505c6' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:30:00</div><input id='attrs-880576ba-470f-4ce9-a8ce-3e0cb8792ea1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-880576ba-470f-4ce9-a8ce-3e0cb8792ea1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-735f0dd0-af95-47d5-9e18-ac983ea5a614' class='xr-var-data-in' type='checkbox'><label for='data-735f0dd0-af95-47d5-9e18-ac983ea5a614' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T00:30:00.000000000&#x27;,\n",
-       "       &#x27;2022-01-01T01:00:00.000000000&#x27;, ..., &#x27;2022-12-31T22:30:00.000000000&#x27;,\n",
-       "       &#x27;2022-12-31T23:00:00.000000000&#x27;, &#x27;2022-12-31T23:30:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>distance</span></div><div class='xr-var-dims'>(distance)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-bb3b6877-a65b-4572-a9ed-4ce9a5d3131a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb3b6877-a65b-4572-a9ed-4ce9a5d3131a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc32ac98-8c2e-4a67-b3bf-fd1071e71ba6' class='xr-var-data-in' type='checkbox'><label for='data-cc32ac98-8c2e-4a67-b3bf-fd1071e71ba6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2ecabd9a-5fca-4562-87e0-2883ff05e2be' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2ecabd9a-5fca-4562-87e0-2883ff05e2be' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>annual_poa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.736e+05</div><input id='attrs-a0fbf9e5-d3fa-4aee-99b2-3717de153eda' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a0fbf9e5-d3fa-4aee-99b2-3717de153eda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f89c6704-ef2f-487e-83a6-a156598d742a' class='xr-var-data-in' type='checkbox'><label for='data-f89c6704-ef2f-487e-83a6-a156598d742a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(273630.41348031)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ground_irradiance</span></div><div class='xr-var-dims'>(time, distance)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(17520, 10), meta=np.ndarray&gt;</div><input id='attrs-5b01e05c-4724-400f-88d3-258ae9b37696' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b01e05c-4724-400f-88d3-258ae9b37696' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abc5d169-6583-4811-bd98-df5d5b56513d' class='xr-var-data-in' type='checkbox'><label for='data-abc5d169-6583-4811-bd98-df5d5b56513d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.34 MiB </td>\n",
-       "                        <td> 1.34 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (17520, 10) </td>\n",
-       "                        <td> (17520, 10) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Colored Rectangle -->\n",
-       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
-       "\n",
-       "  <!-- Text -->\n",
-       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10</text>\n",
-       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">17520</text>\n",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-535fc4c2-9608-40f1-b06d-dc48c146be1d' class='xr-section-summary-in' type='checkbox'  ><label for='section-535fc4c2-9608-40f1-b06d-dc48c146be1d' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8a0da586-47fd-4158-86e5-4c14693bc368' class='xr-index-data-in' type='checkbox'/><label for='index-8a0da586-47fd-4158-86e5-4c14693bc368' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 00:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 01:00:00&#x27;, &#x27;2022-01-01 01:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 02:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 03:00:00&#x27;, &#x27;2022-01-01 03:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 04:30:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2022-12-31 19:00:00&#x27;, &#x27;2022-12-31 19:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 20:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 21:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 22:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 23:00:00&#x27;, &#x27;2022-12-31 23:30:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=17520, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>distance</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-616f0d7e-7760-489a-99d6-4aa27a4243f2' class='xr-index-data-in' type='checkbox'/><label for='index-616f0d7e-7760-489a-99d6-4aa27a4243f2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;distance&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a551e669-6d0e-4188-b0b4-bfe56996ef2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a551e669-6d0e-4188-b0b4-bfe56996ef2f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 2MB\n",
-       "Dimensions:            (time: 17520, distance: 10)\n",
-       "Coordinates:\n",
-       "  * time               (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T...\n",
-       "  * distance           (distance) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "Data variables:\n",
-       "    annual_poa         float64 8B 2.736e+05\n",
-       "    ground_irradiance  (time, distance) float64 1MB dask.array<chunksize=(17520, 10), meta=np.ndarray>"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
-       "Dimensions:            (time: 17520, distance: 10)\n",
-       "Coordinates:\n",
-       "  * time               (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T...\n",
-       "  * distance           (distance) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "Data variables:\n",
-       "    annual_poa         float64 8B 2.736e+05\n",
-       "    ground_irradiance  (time, distance) float64 1MB dask.array&lt;chunksize=(17520, 10), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7b65a5a5-b23d-4259-a11e-c75a2a5c03f2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7b65a5a5-b23d-4259-a11e-c75a2a5c03f2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 17520</li><li><span class='xr-has-index'>distance</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-637c36f2-748a-47b5-bfe7-796e2b9583ec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-637c36f2-748a-47b5-bfe7-796e2b9583ec' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:30:00</div><input id='attrs-8ab8b241-db90-4491-a73a-69967fc420ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ab8b241-db90-4491-a73a-69967fc420ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a307848-5534-4e55-ac3b-a0baed6242f7' class='xr-var-data-in' type='checkbox'><label for='data-2a307848-5534-4e55-ac3b-a0baed6242f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T00:30:00.000000000&#x27;,\n",
-       "       &#x27;2022-01-01T01:00:00.000000000&#x27;, ..., &#x27;2022-12-31T22:30:00.000000000&#x27;,\n",
-       "       &#x27;2022-12-31T23:00:00.000000000&#x27;, &#x27;2022-12-31T23:30:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>distance</span></div><div class='xr-var-dims'>(distance)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-fd3ced9d-fd3e-4a3c-88ed-1188f5549c4d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd3ced9d-fd3e-4a3c-88ed-1188f5549c4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-909b0de2-61d2-4654-b277-81fe8db310b2' class='xr-var-data-in' type='checkbox'><label for='data-909b0de2-61d2-4654-b277-81fe8db310b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad0921ee-5a42-404c-b988-63333c3e86f7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ad0921ee-5a42-404c-b988-63333c3e86f7' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>annual_poa</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.736e+05</div><input id='attrs-d873b206-5571-41e5-974b-d0f11eca2c70' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d873b206-5571-41e5-974b-d0f11eca2c70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef55d371-b933-4e81-92db-44224021cc55' class='xr-var-data-in' type='checkbox'><label for='data-ef55d371-b933-4e81-92db-44224021cc55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(273630.41348031)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ground_irradiance</span></div><div class='xr-var-dims'>(time, distance)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(17520, 10), meta=np.ndarray&gt;</div><input id='attrs-eeb97cc0-a014-45dc-9fc2-3bf84b7bc18d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eeb97cc0-a014-45dc-9fc2-3bf84b7bc18d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2dd09d5-3822-40d6-a4b9-bfb7ca3df8af' class='xr-var-data-in' type='checkbox'><label for='data-b2dd09d5-3822-40d6-a4b9-bfb7ca3df8af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 1.34 MiB </td>\n",
-       "                        <td> 1.34 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (17520, 10) </td>\n",
-       "                        <td> (17520, 10) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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-       "\n",
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-       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">17520</text>\n",
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-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-770202bf-5b7e-4582-bded-8bb06cf2b1cd' class='xr-section-summary-in' type='checkbox'  ><label for='section-770202bf-5b7e-4582-bded-8bb06cf2b1cd' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9b652b5f-8c59-4cd5-956a-52b759049529' class='xr-index-data-in' type='checkbox'/><label for='index-9b652b5f-8c59-4cd5-956a-52b759049529' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 00:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 01:00:00&#x27;, &#x27;2022-01-01 01:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 02:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 03:00:00&#x27;, &#x27;2022-01-01 03:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 04:30:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2022-12-31 19:00:00&#x27;, &#x27;2022-12-31 19:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 20:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 21:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 22:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 23:00:00&#x27;, &#x27;2022-12-31 23:30:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=17520, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>distance</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-51d89760-60db-433a-8373-9ce2d1e87b40' class='xr-index-data-in' type='checkbox'/><label for='index-51d89760-60db-433a-8373-9ce2d1e87b40' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;distance&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5b9ee47-e931-429f-9f66-3a9ba2ce63cc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a5b9ee47-e931-429f-9f66-3a9ba2ce63cc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 2MB\n",
-       "Dimensions:            (time: 17520, distance: 10)\n",
-       "Coordinates:\n",
-       "  * time               (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T...\n",
-       "  * distance           (distance) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "Data variables:\n",
-       "    annual_poa         float64 8B 2.736e+05\n",
-       "    ground_irradiance  (time, distance) float64 1MB dask.array<chunksize=(17520, 10), meta=np.ndarray>"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds2"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;ground_irradiance&#x27; (time: 3156, distance: 10)&gt; Size: 252kB\n",
-       "array([[5.75000778, 6.81571978, 8.5343234 , ..., 8.44491123, 6.84407973,\n",
-       "        5.77561202],\n",
-       "       [3.23635362, 3.84641097, 4.82869613, ..., 4.77427455, 3.86100979,\n",
-       "        3.251067  ],\n",
-       "       [2.83297997, 3.36778282, 4.22750632, ..., 4.17682637, 3.37907801,\n",
-       "        2.84592762],\n",
-       "       ...,\n",
-       "       [2.82727475, 3.35709743, 4.21585467, ..., 4.18072614, 3.37589277,\n",
-       "        2.83982618],\n",
-       "       [6.14378031, 7.28084641, 9.1213216 , ..., 9.04050337, 7.31845355,\n",
-       "        6.1708254 ],\n",
-       "       [4.44587279, 5.28112444, 6.6310527 , ..., 6.56734252, 5.30656218,\n",
-       "        4.46582299]])\n",
-       "Coordinates:\n",
-       "  * time      (time) datetime64[ns] 25kB 2022-01-01T16:00:00 ... 2022-12-31T1...\n",
-       "  * distance  (distance) int64 80B 0 1 2 3 4 5 6 7 8 9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ground_irradiance'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3156</li><li><span class='xr-has-index'>distance</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ba84fb69-5518-4740-a81e-24f48cd3a7d5' class='xr-array-in' type='checkbox' checked><label for='section-ba84fb69-5518-4740-a81e-24f48cd3a7d5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.75 6.816 8.534 9.969 10.68 10.63 ... 8.281 7.673 6.567 5.307 4.466</span></div><div class='xr-array-data'><pre>array([[5.75000778, 6.81571978, 8.5343234 , ..., 8.44491123, 6.84407973,\n",
-       "        5.77561202],\n",
-       "       [3.23635362, 3.84641097, 4.82869613, ..., 4.77427455, 3.86100979,\n",
-       "        3.251067  ],\n",
-       "       [2.83297997, 3.36778282, 4.22750632, ..., 4.17682637, 3.37907801,\n",
-       "        2.84592762],\n",
-       "       ...,\n",
-       "       [2.82727475, 3.35709743, 4.21585467, ..., 4.18072614, 3.37589277,\n",
-       "        2.83982618],\n",
-       "       [6.14378031, 7.28084641, 9.1213216 , ..., 9.04050337, 7.31845355,\n",
-       "        6.1708254 ],\n",
-       "       [4.44587279, 5.28112444, 6.6310527 , ..., 6.56734252, 5.30656218,\n",
-       "        4.46582299]])</pre></div></div></li><li class='xr-section-item'><input id='section-53e900fe-d131-47df-b328-fc37105fbfdc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-53e900fe-d131-47df-b328-fc37105fbfdc' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01T16:00:00 ... 2022-12-...</div><input id='attrs-b6fccee2-d606-47e1-ab71-6a41736d4220' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6fccee2-d606-47e1-ab71-6a41736d4220' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31cd5c0c-d6c7-4f4e-a01e-4815579f8952' class='xr-var-data-in' type='checkbox'><label for='data-31cd5c0c-d6c7-4f4e-a01e-4815579f8952' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T16:00:00.000000000&#x27;, &#x27;2022-01-02T16:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-01-03T16:00:00.000000000&#x27;, ..., &#x27;2022-12-29T16:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-12-30T16:00:00.000000000&#x27;, &#x27;2022-12-31T16:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>distance</span></div><div class='xr-var-dims'>(distance)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-bfbc9b08-5c72-4c76-a556-663d9f7d4f83' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bfbc9b08-5c72-4c76-a556-663d9f7d4f83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69d8237e-8b6e-4200-b2ee-76b43bfc723a' class='xr-var-data-in' type='checkbox'><label for='data-69d8237e-8b6e-4200-b2ee-76b43bfc723a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33d5399f-09ce-4583-8428-2d2045e9ab56' class='xr-section-summary-in' type='checkbox'  ><label for='section-33d5399f-09ce-4583-8428-2d2045e9ab56' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7f28b5b3-a156-4e12-bc07-a80acdb00867' class='xr-index-data-in' type='checkbox'/><label for='index-7f28b5b3-a156-4e12-bc07-a80acdb00867' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 16:00:00&#x27;, &#x27;2022-01-02 16:00:00&#x27;,\n",
-       "               &#x27;2022-01-03 16:00:00&#x27;, &#x27;2022-01-04 16:00:00&#x27;,\n",
-       "               &#x27;2022-01-05 16:00:00&#x27;, &#x27;2022-01-06 16:00:00&#x27;,\n",
-       "               &#x27;2022-01-07 16:00:00&#x27;, &#x27;2022-01-08 16:00:00&#x27;,\n",
-       "               &#x27;2022-01-09 16:00:00&#x27;, &#x27;2022-01-10 16:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2022-12-22 16:00:00&#x27;, &#x27;2022-12-23 16:00:00&#x27;,\n",
-       "               &#x27;2022-12-24 16:00:00&#x27;, &#x27;2022-12-25 16:00:00&#x27;,\n",
-       "               &#x27;2022-12-26 16:00:00&#x27;, &#x27;2022-12-27 16:00:00&#x27;,\n",
-       "               &#x27;2022-12-28 16:00:00&#x27;, &#x27;2022-12-29 16:00:00&#x27;,\n",
-       "               &#x27;2022-12-30 16:00:00&#x27;, &#x27;2022-12-31 16:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=3156, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>distance</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-37949956-277e-4b97-b773-0ddbb8611a1b' class='xr-index-data-in' type='checkbox'/><label for='index-37949956-277e-4b97-b773-0ddbb8611a1b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;distance&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-90e8f6a6-19ec-4c48-b9fb-52385b2bf9cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-90e8f6a6-19ec-4c48-b9fb-52385b2bf9cb' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'ground_irradiance' (time: 3156, distance: 10)> Size: 252kB\n",
-       "array([[5.75000778, 6.81571978, 8.5343234 , ..., 8.44491123, 6.84407973,\n",
-       "        5.77561202],\n",
-       "       [3.23635362, 3.84641097, 4.82869613, ..., 4.77427455, 3.86100979,\n",
-       "        3.251067  ],\n",
-       "       [2.83297997, 3.36778282, 4.22750632, ..., 4.17682637, 3.37907801,\n",
-       "        2.84592762],\n",
-       "       ...,\n",
-       "       [2.82727475, 3.35709743, 4.21585467, ..., 4.18072614, 3.37589277,\n",
-       "        2.83982618],\n",
-       "       [6.14378031, 7.28084641, 9.1213216 , ..., 9.04050337, 7.31845355,\n",
-       "        6.1708254 ],\n",
-       "       [4.44587279, 5.28112444, 6.6310527 , ..., 6.56734252, 5.30656218,\n",
-       "        4.46582299]])\n",
-       "Coordinates:\n",
-       "  * time      (time) datetime64[ns] 25kB 2022-01-01T16:00:00 ... 2022-12-31T1...\n",
-       "  * distance  (distance) int64 80B 0 1 2 3 4 5 6 7 8 9"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "mask = np.any(ds1.ground_irradiance != 0, axis=1)\n",
     "\n",
@@ -2215,444 +269,9 @@
   },
   {
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-   "execution_count": 29,
+   "execution_count": null,
    "metadata": {},
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-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;ground_irradiance&#x27; (time: 3156, distance: 10)&gt; Size: 252kB\n",
-       "array([[7.06233363, 7.39554398, 8.11977724, ..., 8.10870709, 7.49858932,\n",
-       "        7.09628666],\n",
-       "       [3.98710499, 4.17824515, 4.59019211, ..., 4.5834376 , 4.23525868,\n",
-       "        4.00591693],\n",
-       "       [3.49067497, 3.65859914, 4.01731711, ..., 4.01100985, 3.70677081,\n",
-       "        3.50659409],\n",
-       "       ...,\n",
-       "       [3.48102596, 3.64553123, 4.01318906, ..., 4.00887056, 3.7024543 ,\n",
-       "        3.49970561],\n",
-       "       [7.54605911, 7.89978085, 8.68438986, ..., 8.67443697, 8.01862736,\n",
-       "        7.58509934],\n",
-       "       [5.4753274 , 5.73569692, 6.30850165, ..., 6.30063946, 5.82034418,\n",
-       "        5.50316637]])\n",
-       "Coordinates:\n",
-       "  * time      (time) datetime64[ns] 25kB 2022-01-01T16:00:00 ... 2022-12-31T1...\n",
-       "  * distance  (distance) int64 80B 0 1 2 3 4 5 6 7 8 9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ground_irradiance'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3156</li><li><span class='xr-has-index'>distance</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e6b9fdf5-1f26-468a-98d7-d70526e34240' class='xr-array-in' type='checkbox' checked><label for='section-e6b9fdf5-1f26-468a-98d7-d70526e34240' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.062 7.396 8.12 8.713 9.054 9.043 ... 7.035 6.759 6.301 5.82 5.503</span></div><div class='xr-array-data'><pre>array([[7.06233363, 7.39554398, 8.11977724, ..., 8.10870709, 7.49858932,\n",
-       "        7.09628666],\n",
-       "       [3.98710499, 4.17824515, 4.59019211, ..., 4.5834376 , 4.23525868,\n",
-       "        4.00591693],\n",
-       "       [3.49067497, 3.65859914, 4.01731711, ..., 4.01100985, 3.70677081,\n",
-       "        3.50659409],\n",
-       "       ...,\n",
-       "       [3.48102596, 3.64553123, 4.01318906, ..., 4.00887056, 3.7024543 ,\n",
-       "        3.49970561],\n",
-       "       [7.54605911, 7.89978085, 8.68438986, ..., 8.67443697, 8.01862736,\n",
-       "        7.58509934],\n",
-       "       [5.4753274 , 5.73569692, 6.30850165, ..., 6.30063946, 5.82034418,\n",
-       "        5.50316637]])</pre></div></div></li><li class='xr-section-item'><input id='section-efdc3222-195c-420c-a9ba-88c85ee2ee35' class='xr-section-summary-in' type='checkbox'  checked><label for='section-efdc3222-195c-420c-a9ba-88c85ee2ee35' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01T16:00:00 ... 2022-12-...</div><input id='attrs-ad7841c0-c40d-4937-a059-fe37fe9bfca1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad7841c0-c40d-4937-a059-fe37fe9bfca1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-189e3d1b-e754-46dd-af01-eb41a039ac55' class='xr-var-data-in' type='checkbox'><label for='data-189e3d1b-e754-46dd-af01-eb41a039ac55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T16:00:00.000000000&#x27;, &#x27;2022-01-02T16:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-01-03T16:00:00.000000000&#x27;, ..., &#x27;2022-12-29T16:00:00.000000000&#x27;,\n",
-       "       &#x27;2022-12-30T16:00:00.000000000&#x27;, &#x27;2022-12-31T16:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>distance</span></div><div class='xr-var-dims'>(distance)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-27479f46-42bb-4a2f-bc6d-f1bdbf3d3413' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-27479f46-42bb-4a2f-bc6d-f1bdbf3d3413' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65e2f9a0-715f-47de-aeaa-a5eba0662645' class='xr-var-data-in' type='checkbox'><label for='data-65e2f9a0-715f-47de-aeaa-a5eba0662645' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4edeade9-20c5-4847-a473-220aba9ffa6f' class='xr-section-summary-in' type='checkbox'  ><label for='section-4edeade9-20c5-4847-a473-220aba9ffa6f' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5ba26471-6aec-4e9e-b4c9-d5d04b192e42' class='xr-index-data-in' type='checkbox'/><label for='index-5ba26471-6aec-4e9e-b4c9-d5d04b192e42' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 16:00:00&#x27;, &#x27;2022-01-02 16:00:00&#x27;,\n",
-       "               &#x27;2022-01-03 16:00:00&#x27;, &#x27;2022-01-04 16:00:00&#x27;,\n",
-       "               &#x27;2022-01-05 16:00:00&#x27;, &#x27;2022-01-06 16:00:00&#x27;,\n",
-       "               &#x27;2022-01-07 16:00:00&#x27;, &#x27;2022-01-08 16:00:00&#x27;,\n",
-       "               &#x27;2022-01-09 16:00:00&#x27;, &#x27;2022-01-10 16:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2022-12-22 16:00:00&#x27;, &#x27;2022-12-23 16:00:00&#x27;,\n",
-       "               &#x27;2022-12-24 16:00:00&#x27;, &#x27;2022-12-25 16:00:00&#x27;,\n",
-       "               &#x27;2022-12-26 16:00:00&#x27;, &#x27;2022-12-27 16:00:00&#x27;,\n",
-       "               &#x27;2022-12-28 16:00:00&#x27;, &#x27;2022-12-29 16:00:00&#x27;,\n",
-       "               &#x27;2022-12-30 16:00:00&#x27;, &#x27;2022-12-31 16:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=3156, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>distance</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-78b00552-b41c-4854-89f8-4ac87571c0c9' class='xr-index-data-in' type='checkbox'/><label for='index-78b00552-b41c-4854-89f8-4ac87571c0c9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;distance&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-411cfd45-8222-4d25-b480-dd0886da6659' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-411cfd45-8222-4d25-b480-dd0886da6659' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'ground_irradiance' (time: 3156, distance: 10)> Size: 252kB\n",
-       "array([[7.06233363, 7.39554398, 8.11977724, ..., 8.10870709, 7.49858932,\n",
-       "        7.09628666],\n",
-       "       [3.98710499, 4.17824515, 4.59019211, ..., 4.5834376 , 4.23525868,\n",
-       "        4.00591693],\n",
-       "       [3.49067497, 3.65859914, 4.01731711, ..., 4.01100985, 3.70677081,\n",
-       "        3.50659409],\n",
-       "       ...,\n",
-       "       [3.48102596, 3.64553123, 4.01318906, ..., 4.00887056, 3.7024543 ,\n",
-       "        3.49970561],\n",
-       "       [7.54605911, 7.89978085, 8.68438986, ..., 8.67443697, 8.01862736,\n",
-       "        7.58509934],\n",
-       "       [5.4753274 , 5.73569692, 6.30850165, ..., 6.30063946, 5.82034418,\n",
-       "        5.50316637]])\n",
-       "Coordinates:\n",
-       "  * time      (time) datetime64[ns] 25kB 2022-01-01T16:00:00 ... 2022-12-31T1...\n",
-       "  * distance  (distance) int64 80B 0 1 2 3 4 5 6 7 8 9"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "mask = np.any(ds2.ground_irradiance != 0, axis=1)\n",
     "\n",
@@ -2660,13 +279,85 @@
     "\n",
     "nonzero.compute()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#####\n",
+    "\n",
+    "# the following cells were for sharing with silvana for the size of the xarray\n",
+    "# we were using 30 minute 2022 data (not tmy) so i sliced it to be the correct size of TMY data\n",
+    "\n",
+    "#####"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pickle\n",
+    "\n",
+    "sliced_data = pysam_fake_res.isel(latitude=0, longitude=3).isel(time=slice(8760))\n",
+    "\n",
+    "# Specify the file where the pickled data will be stored\n",
+    "pickle_file = \"sliced_data.pkl\"\n",
+    "\n",
+    "# Pickle the data\n",
+    "with open(pickle_file, \"wb\") as f:\n",
+    "    pickle.dump(sliced_data, f)\n",
+    "\n",
+    "print(f\"Data has been pickled and saved to {pickle_file}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xarray\n",
+    "import pickle\n",
+    "\n",
+    "with open(\"sliced_data.pkl\", \"rb\") as f:\n",
+    "    loaded_data = pickle.load(f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "loaded_data.nbytes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "loaded_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
    "display_name": "rpp",
    "language": "python",
-   "name": "python3"
+   "name": "rpp"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/scripts/pysam_geospatial.ipynb b/scripts/pysam_geospatial.ipynb
index 1f773c0..143dd57 100644
--- a/scripts/pysam_geospatial.ipynb
+++ b/scripts/pysam_geospatial.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -22,17 +22,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "http://127.0.0.1:8787/status\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "workers = 8\n",
     "\n",
@@ -48,18 +40,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/tford/.conda-envs/rpp/lib/python3.10/site-packages/xarray/core/dataset.py:274: UserWarning: The specified chunks separate the stored chunks along dimension \"phony_dim_1\" starting at index 500. This could degrade performance. Instead, consider rechunking after loading.\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "locationGetter = pvdeg.scenario.GeospatialScenario()\n",
     "\n",
@@ -68,27 +51,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1500x1000 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "locationGetter.plot_coords()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -100,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -118,38 +90,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "ERROR:tornado.application:Exception in callback functools.partial(<bound method IOLoop._discard_future_result of <tornado.platform.asyncio.AsyncIOMainLoop object at 0x7f076249a6e0>>, <Task finished name='Task-103502' coro=<ProfileTimePlot.trigger_update.<locals>.cb() done, defined at /home/tford/.conda-envs/rpp/lib/python3.10/site-packages/distributed/utils.py:836> exception=AttributeError(\"'NoneType' object has no attribute 'add_next_tick_callback'\")>)\n",
-      "Traceback (most recent call last):\n",
-      "  File \"/home/tford/.conda-envs/rpp/lib/python3.10/site-packages/tornado/ioloop.py\", line 750, in _run_callback\n",
-      "    ret = callback()\n",
-      "  File \"/home/tford/.conda-envs/rpp/lib/python3.10/site-packages/tornado/ioloop.py\", line 774, in _discard_future_result\n",
-      "    future.result()\n",
-      "  File \"/home/tford/.conda-envs/rpp/lib/python3.10/site-packages/distributed/utils.py\", line 838, in wrapper\n",
-      "    return await func(*args, **kwargs)\n",
-      "  File \"/home/tford/.conda-envs/rpp/lib/python3.10/site-packages/distributed/dashboard/components/shared.py\", line 315, in cb\n",
-      "    self.doc().add_next_tick_callback(lambda: self.update(prof, metadata))\n",
-      "AttributeError: 'NoneType' object has no attribute 'add_next_tick_callback'\n",
-      "ERROR:tornado.application:Exception in callback functools.partial(<bound method IOLoop._discard_future_result of <tornado.platform.asyncio.AsyncIOMainLoop object at 0x7f076249a6e0>>, <Task finished name='Task-140965' coro=<ProfileTimePlot.trigger_update.<locals>.cb() done, defined at /home/tford/.conda-envs/rpp/lib/python3.10/site-packages/distributed/utils.py:836> exception=AttributeError(\"'NoneType' object has no attribute 'add_next_tick_callback'\")>)\n",
-      "Traceback (most recent call last):\n",
-      "  File \"/home/tford/.conda-envs/rpp/lib/python3.10/site-packages/tornado/ioloop.py\", line 750, in _run_callback\n",
-      "    ret = callback()\n",
-      "  File \"/home/tford/.conda-envs/rpp/lib/python3.10/site-packages/tornado/ioloop.py\", line 774, in _discard_future_result\n",
-      "    future.result()\n",
-      "  File \"/home/tford/.conda-envs/rpp/lib/python3.10/site-packages/distributed/utils.py\", line 838, in wrapper\n",
-      "    return await func(*args, **kwargs)\n",
-      "  File \"/home/tford/.conda-envs/rpp/lib/python3.10/site-packages/distributed/dashboard/components/shared.py\", line 315, in cb\n",
-      "    self.doc().add_next_tick_callback(lambda: self.update(prof, metadata))\n",
-      "AttributeError: 'NoneType' object has no attribute 'add_next_tick_callback'\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "pysam_tiny_res = pvdeg.geospatial.analysis(\n",
     "    weather_ds = geo_weather,\n",
@@ -162,604 +105,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/tford/.conda-envs/rpp/lib/python3.10/site-packages/distributed/client.py:3245: UserWarning: Sending large graph of size 108.44 MiB.\n",
-      "This may cause some slowdown.\n",
-      "Consider scattering data ahead of time and using futures.\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "pysam_tiny_res.to_netcdf('downsample40-conf01-pysam-ground-irradiance.nc', engine='h5netcdf')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 191MB\n",
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-       "Data variables:\n",
-       "    annual_poa         (latitude, longitude) float64 1kB nan nan nan ... nan nan\n",
-       "    ground_irradiance  (time, distance, latitude, longitude) float64 191MB dask.array&lt;chunksize=(17520, 10, 1, 17), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f78caeaa-0fde-4fb7-95af-1387616b7b6f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f78caeaa-0fde-4fb7-95af-1387616b7b6f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 8</li><li><span class='xr-has-index'>longitude</span>: 17</li><li><span class='xr-has-index'>time</span>: 17520</li><li><span class='xr-has-index'>distance</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-20481fa4-5ebb-4f26-b20d-db529d2e8010' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20481fa4-5ebb-4f26-b20d-db529d2e8010' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>24.85 28.13 31.33 ... 44.13 47.33</div><input id='attrs-48113965-cff9-4772-9d4a-7d2ce33f1714' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48113965-cff9-4772-9d4a-7d2ce33f1714' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a326728a-af44-44c5-85ec-30e613edc320' class='xr-var-data-in' type='checkbox'><label for='data-a326728a-af44-44c5-85ec-30e613edc320' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([24.85, 28.13, 31.33, 34.53, 37.73, 40.93, 44.13, 47.33], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-122.3 -119.1 ... -74.34 -71.14</div><input id='attrs-5017fa5f-e404-46ef-a162-30845e14abdc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5017fa5f-e404-46ef-a162-30845e14abdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ddc9fce-da2c-4536-b238-8b10d93c99a9' class='xr-var-data-in' type='checkbox'><label for='data-7ddc9fce-da2c-4536-b238-8b10d93c99a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-122.34, -119.14, -115.94, -112.74, -109.54, -106.34, -103.14,  -99.94,\n",
-       "        -96.74,  -93.54,  -90.34,  -87.14,  -83.94,  -80.74,  -77.54,  -74.34,\n",
-       "        -71.14], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:30:00</div><input id='attrs-242485db-e8cd-4706-babf-881eec31b4af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-242485db-e8cd-4706-babf-881eec31b4af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be421098-1e3b-4623-a8a2-a9d7ddcae062' class='xr-var-data-in' type='checkbox'><label for='data-be421098-1e3b-4623-a8a2-a9d7ddcae062' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T00:30:00.000000000&#x27;,\n",
-       "       &#x27;2022-01-01T01:00:00.000000000&#x27;, ..., &#x27;2022-12-31T22:30:00.000000000&#x27;,\n",
-       "       &#x27;2022-12-31T23:00:00.000000000&#x27;, &#x27;2022-12-31T23:30:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>distance</span></div><div class='xr-var-dims'>(distance)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-6827e20b-9b44-4615-9785-2604f2acfff3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6827e20b-9b44-4615-9785-2604f2acfff3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75e0d1d2-fe44-431b-b360-8a928ed3b96c' class='xr-var-data-in' type='checkbox'><label for='data-75e0d1d2-fe44-431b-b360-8a928ed3b96c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c731f49-046d-4bdb-bec6-30b64eb333be' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8c731f49-046d-4bdb-bec6-30b64eb333be' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>annual_poa</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-708d990f-c313-4642-a88c-4b2a40d487d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-708d990f-c313-4642-a88c-4b2a40d487d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16e0102d-c314-45b6-986d-114562847299' class='xr-var-data-in' type='checkbox'><label for='data-16e0102d-c314-45b6-986d-114562847299' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[            nan,             nan,             nan,\n",
-       "                    nan,             nan,             nan,\n",
-       "                    nan,             nan,             nan,\n",
-       "                    nan,             nan,             nan,\n",
-       "                    nan, 601973.54187014,             nan,\n",
-       "                    nan,             nan],\n",
-       "       [            nan,             nan,             nan,\n",
-       "                    nan,             nan,             nan,\n",
-       "                    nan, 485428.56681267,             nan,\n",
-       "                    nan,             nan,             nan,\n",
-       "                    nan, 624982.58194708,             nan,\n",
-       "                    nan,             nan],\n",
-       "       [            nan,             nan,             nan,\n",
-       "                    nan,             nan,             nan,\n",
-       "        546288.38186935, 518024.13732738, 485198.32907909,\n",
-       "        470380.41347693, 480481.97880003, 478417.5343792 ,\n",
-       "        594628.83487859,             nan,             nan,\n",
-       "                    nan,             nan],\n",
-       "       [            nan, 325773.60313525, 312814.90984134,\n",
-       "        428800.94011545, 438084.30727499, 424241.70303776,\n",
-       "...\n",
-       "        500987.1063053 , 501933.6089306 , 535533.18876588,\n",
-       "                    nan,             nan],\n",
-       "       [294381.83229543, 298935.08396679, 299635.1004778 ,\n",
-       "        363015.61440559, 379914.60621212, 397099.50059471,\n",
-       "        375683.0742691 , 437294.11675156, 422374.37734658,\n",
-       "        406079.37485405, 414371.80521831, 414059.18194315,\n",
-       "        488747.53818801, 479241.82822851, 486987.33640919,\n",
-       "        507126.75363944,             nan],\n",
-       "       [241288.12749021, 286272.50975196, 364080.90527559,\n",
-       "        384896.62007307, 392023.63955272, 358526.2626258 ,\n",
-       "        347293.62409974, 420847.75341232, 401219.94788685,\n",
-       "        389313.15247943, 378357.31753714, 369404.91755292,\n",
-       "        482650.56794919,             nan,             nan,\n",
-       "        468202.26062135, 493348.31555038],\n",
-       "       [227592.93897732, 273630.41348031, 258086.79020233,\n",
-       "        365990.77447967, 326287.61035356, 326465.66972834,\n",
-       "        315876.1743698 , 402308.82472248, 391209.22639675,\n",
-       "        373274.71839835, 359394.80249353, 398225.49904678,\n",
-       "                    nan,             nan,             nan,\n",
-       "                    nan,             nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ground_irradiance</span></div><div class='xr-var-dims'>(time, distance, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(17520, 10, 1, 17), meta=np.ndarray&gt;</div><input id='attrs-db38c873-2d08-49fa-a2d3-ba0c14940832' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db38c873-2d08-49fa-a2d3-ba0c14940832' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94aa4725-e48a-411c-85ea-7053cdc79a63' class='xr-var-data-in' type='checkbox'><label for='data-94aa4725-e48a-411c-85ea-7053cdc79a63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 181.79 MiB </td>\n",
-       "                        <td> 22.72 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (17520, 10, 8, 17) </td>\n",
-       "                        <td> (17520, 10, 1, 17) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 8 chunks in 199 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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-       "  <text x=\"187.474299\" y=\"52.886915\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,187.474299,52.886915)\">10</text>\n",
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-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ea9dfcff-f47e-4596-908b-5d70cc5a3574' class='xr-section-summary-in' type='checkbox'  ><label for='section-ea9dfcff-f47e-4596-908b-5d70cc5a3574' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-009ac184-feed-43f6-841c-93eb776fb43c' class='xr-index-data-in' type='checkbox'/><label for='index-009ac184-feed-43f6-841c-93eb776fb43c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 00:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 01:00:00&#x27;, &#x27;2022-01-01 01:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 02:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 03:00:00&#x27;, &#x27;2022-01-01 03:30:00&#x27;,\n",
-       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 04:30:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2022-12-31 19:00:00&#x27;, &#x27;2022-12-31 19:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 20:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 21:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 22:30:00&#x27;,\n",
-       "               &#x27;2022-12-31 23:00:00&#x27;, &#x27;2022-12-31 23:30:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=17520, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>distance</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-614d2cfb-e9c2-4291-963d-a86d2984a5a3' class='xr-index-data-in' type='checkbox'/><label for='index-614d2cfb-e9c2-4291-963d-a86d2984a5a3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;distance&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-317a9772-461d-40ea-9708-335a378a9860' class='xr-index-data-in' type='checkbox'/><label for='index-317a9772-461d-40ea-9708-335a378a9860' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([24.850000381469727,   28.1299991607666, 31.329999923706055,\n",
-       "       34.529998779296875,  37.72999954223633,  40.93000030517578,\n",
-       "       44.130001068115234,  47.33000183105469],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2e50661e-7846-4690-8d3e-30397d2db4e5' class='xr-index-data-in' type='checkbox'/><label for='index-2e50661e-7846-4690-8d3e-30397d2db4e5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-122.33999633789062, -119.13999938964844, -115.94000244140625,\n",
-       "       -112.73999786376953, -109.54000091552734, -106.33999633789062,\n",
-       "       -103.13999938964844,  -99.94000244140625,  -96.73999786376953,\n",
-       "        -93.54000091552734,  -90.33999633789062,  -87.13999938964844,\n",
-       "        -83.94000244140625,  -80.73999786376953,  -77.54000091552734,\n",
-       "        -74.33999633789062,  -71.13999938964844],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebf2b459-d058-4fed-9ce9-349f3321174e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ebf2b459-d058-4fed-9ce9-349f3321174e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 191MB\n",
-       "Dimensions:            (latitude: 8, longitude: 17, time: 17520, distance: 10)\n",
-       "Coordinates:\n",
-       "  * latitude           (latitude) float32 32B 24.85 28.13 31.33 ... 44.13 47.33\n",
-       "  * longitude          (longitude) float32 68B -122.3 -119.1 ... -74.34 -71.14\n",
-       "  * time               (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T...\n",
-       "  * distance           (distance) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "Data variables:\n",
-       "    annual_poa         (latitude, longitude) float64 1kB nan nan nan ... nan nan\n",
-       "    ground_irradiance  (time, distance, latitude, longitude) float64 191MB dask.array<chunksize=(17520, 10, 1, 17), meta=np.ndarray>"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pysam_tiny_res"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -772,29 +136,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(0.2502810919746036,\n",
-       " 0.7508432759238107,\n",
-       " 1.251405459873018,\n",
-       " 1.751967643822225,\n",
-       " 2.2525298277714323,\n",
-       " 2.753092011720639,\n",
-       " 3.2536541956698466,\n",
-       " 3.7542163796190535,\n",
-       " 4.2547785635682605,\n",
-       " 4.755340747517468)"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "res.ground_irradiance[0][1:]"
    ]
diff --git a/scripts/pysam_wrangling.ipynb b/scripts/pysam_wrangling.ipynb
index 0d815d5..5ad583f 100644
--- a/scripts/pysam_wrangling.ipynb
+++ b/scripts/pysam_wrangling.ipynb
@@ -68,10 +68,425 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "40f7ff57-a8f2-43a0-b59b-0ee6099898d1",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 45MB\n",
+       "Dimensions:            (latitude: 4, longitude: 8, time: 17520, distance: 10)\n",
+       "Coordinates:\n",
+       "  * latitude           (latitude) float32 16B 28.13 34.53 40.93 47.33\n",
+       "  * longitude          (longitude) float32 32B -119.1 -112.7 ... -80.74 -74.34\n",
+       "  * time               (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T...\n",
+       "  * distance           (distance) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
+       "Data variables:\n",
+       "    ground_irradiance  (time, distance, latitude, longitude) float64 45MB ...\n",
+       "    annual_poa         (latitude, longitude) float64 256B ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0c623f3e-8c15-441d-adf8-5adcf49a8984' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0c623f3e-8c15-441d-adf8-5adcf49a8984' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 4</li><li><span class='xr-has-index'>longitude</span>: 8</li><li><span class='xr-has-index'>time</span>: 17520</li><li><span class='xr-has-index'>distance</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3db56574-54cb-44a1-8d24-af004419d1c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3db56574-54cb-44a1-8d24-af004419d1c4' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>28.13 34.53 40.93 47.33</div><input id='attrs-842ad7e2-cb2e-456f-8c9a-4d95f9361d05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-842ad7e2-cb2e-456f-8c9a-4d95f9361d05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9d3b8a1-0280-458e-922c-cd1107f5c0e2' class='xr-var-data-in' type='checkbox'><label for='data-d9d3b8a1-0280-458e-922c-cd1107f5c0e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([28.13, 34.53, 40.93, 47.33], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-119.1 -112.7 ... -80.74 -74.34</div><input id='attrs-05a6f9f6-8c64-4b1a-83ac-4e800cbb218e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-05a6f9f6-8c64-4b1a-83ac-4e800cbb218e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a84847e9-83fd-471c-bf48-1f19a1d7e414' class='xr-var-data-in' type='checkbox'><label for='data-a84847e9-83fd-471c-bf48-1f19a1d7e414' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-119.14, -112.74, -106.34,  -99.94,  -93.54,  -87.14,  -80.74,  -74.34],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:30:00</div><input id='attrs-8b8774de-25da-4293-acb4-9128eaa93c7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b8774de-25da-4293-acb4-9128eaa93c7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63a07642-6e85-4c3f-8ba3-c02328935480' class='xr-var-data-in' type='checkbox'><label for='data-63a07642-6e85-4c3f-8ba3-c02328935480' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T00:30:00.000000000&#x27;,\n",
+       "       &#x27;2022-01-01T01:00:00.000000000&#x27;, ..., &#x27;2022-12-31T22:30:00.000000000&#x27;,\n",
+       "       &#x27;2022-12-31T23:00:00.000000000&#x27;, &#x27;2022-12-31T23:30:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>distance</span></div><div class='xr-var-dims'>(distance)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-6a97be6e-ea42-4352-a56b-a9348e8d4689' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6a97be6e-ea42-4352-a56b-a9348e8d4689' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27aa97f8-7bbd-48c1-bff8-8117d585ea57' class='xr-var-data-in' type='checkbox'><label for='data-27aa97f8-7bbd-48c1-bff8-8117d585ea57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c6e914d4-c5f6-4723-8d28-108c6b117e34' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c6e914d4-c5f6-4723-8d28-108c6b117e34' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>ground_irradiance</span></div><div class='xr-var-dims'>(time, distance, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0cca6622-e5e8-42dc-b336-6b4e039dfd65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0cca6622-e5e8-42dc-b336-6b4e039dfd65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99b86fd0-685d-4244-82e6-ffed7ddb08b9' class='xr-var-data-in' type='checkbox'><label for='data-99b86fd0-685d-4244-82e6-ffed7ddb08b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[5606400 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>annual_poa</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d21ca5b8-a521-4450-8931-c47cfd1f82a0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d21ca5b8-a521-4450-8931-c47cfd1f82a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f34157d-1546-40cb-ae53-1b171e2e6c3c' class='xr-var-data-in' type='checkbox'><label for='data-3f34157d-1546-40cb-ae53-1b171e2e6c3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a6e2b15d-0a10-4db7-bc23-ea101e51a1d0' class='xr-section-summary-in' type='checkbox'  ><label for='section-a6e2b15d-0a10-4db7-bc23-ea101e51a1d0' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-851f6c16-5891-44ae-afe1-dd0fda38015e' class='xr-index-data-in' type='checkbox'/><label for='index-851f6c16-5891-44ae-afe1-dd0fda38015e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([28.1299991607666, 34.529998779296875, 40.93000030517578,\n",
+       "       47.33000183105469],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-96b4bf85-515f-491e-b985-5e794e7b48d2' class='xr-index-data-in' type='checkbox'/><label for='index-96b4bf85-515f-491e-b985-5e794e7b48d2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-119.13999938964844, -112.73999786376953, -106.33999633789062,\n",
+       "        -99.94000244140625,  -93.54000091552734,  -87.13999938964844,\n",
+       "        -80.73999786376953,  -74.33999633789062],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4c5a1cbf-84ac-427f-b5c5-37538d90ee5f' class='xr-index-data-in' type='checkbox'/><label for='index-4c5a1cbf-84ac-427f-b5c5-37538d90ee5f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 00:30:00&#x27;,\n",
+       "               &#x27;2022-01-01 01:00:00&#x27;, &#x27;2022-01-01 01:30:00&#x27;,\n",
+       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 02:30:00&#x27;,\n",
+       "               &#x27;2022-01-01 03:00:00&#x27;, &#x27;2022-01-01 03:30:00&#x27;,\n",
+       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 04:30:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2022-12-31 19:00:00&#x27;, &#x27;2022-12-31 19:30:00&#x27;,\n",
+       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 20:30:00&#x27;,\n",
+       "               &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 21:30:00&#x27;,\n",
+       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 22:30:00&#x27;,\n",
+       "               &#x27;2022-12-31 23:00:00&#x27;, &#x27;2022-12-31 23:30:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=17520, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>distance</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ae74bee8-37af-4304-ae5c-5ecc8e257ce6' class='xr-index-data-in' type='checkbox'/><label for='index-ae74bee8-37af-4304-ae5c-5ecc8e257ce6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;distance&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ddbaf001-3992-4c03-814a-687301c562e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ddbaf001-3992-4c03-814a-687301c562e3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 45MB\n",
+       "Dimensions:            (latitude: 4, longitude: 8, time: 17520, distance: 10)\n",
+       "Coordinates:\n",
+       "  * latitude           (latitude) float32 16B 28.13 34.53 40.93 47.33\n",
+       "  * longitude          (longitude) float32 32B -119.1 -112.7 ... -80.74 -74.34\n",
+       "  * time               (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T...\n",
+       "  * distance           (distance) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
+       "Data variables:\n",
+       "    ground_irradiance  (time, distance, latitude, longitude) float64 45MB ...\n",
+       "    annual_poa         (latitude, longitude) float64 256B ..."
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# geospatial scenarion with downsample factor 80\n",
     "# this fails to capture a lot of information still, it is only 23 points\n",
@@ -82,27 +497,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "da92f0ce-9120-405b-bbbb-38741721c3b5",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "pvdeg.geospatial.plot_sparse_analysis(medium_res, 'annual_poa', 'nearest')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "de82ccdf-50a5-47c0-b753-e8f92cf484b0",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7fa608f6fdf0>,\n",
+       " <matplotlib.lines.Line2D at 0x7fa609027280>,\n",
+       " <matplotlib.lines.Line2D at 0x7f99fb655ff0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f99fb553340>,\n",
+       " <matplotlib.lines.Line2D at 0x7f99fb553430>,\n",
+       " <matplotlib.lines.Line2D at 0x7f99fb553520>,\n",
+       " <matplotlib.lines.Line2D at 0x7f99fb553610>,\n",
+       " <matplotlib.lines.Line2D at 0x7f99fb553700>,\n",
+       " <matplotlib.lines.Line2D at 0x7f99fb5537f0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f99fb5538e0>]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "plt.plot(medium_res.isel(latitude=0, longitude=0)[\"ground_irradiance\"])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "67580a53-b5b3-4b5b-8da7-9ce4a9efe955",
    "metadata": {},
    "outputs": [],
@@ -117,17 +573,72 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "cb791439",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<xarray.DataArray 'ground_irradiance' (month: 12, distance: 10, latitude: 4,\n",
+      "                                       longitude: 8)> Size: 31kB\n",
+      "array([[[[         nan,          nan,          nan, ...,          nan,\n",
+      "          251.39039332,          nan],\n",
+      "         [ 58.11468011, 135.50811653, 130.04334361, ..., 133.85232808,\n",
+      "          181.60070609,          nan],\n",
+      "         [ 24.4110864 ,  33.46128267,  51.87048449, ...,  90.97590087,\n",
+      "          107.67174537, 131.8752547 ],\n",
+      "         [  8.26424536,  22.79696518,  19.23474817, ...,  24.92301527,\n",
+      "                   nan,          nan]],\n",
+      "\n",
+      "        [[         nan,          nan,          nan, ...,          nan,\n",
+      "          103.76320269,          nan],\n",
+      "         [ 55.77057148, 115.69480471, 112.8438219 , ...,  99.32727088,\n",
+      "          120.38113996,          nan],\n",
+      "         [ 22.53734324,  31.22800764,  51.19419846, ...,  86.67066136,\n",
+      "           96.55777299, 120.14957928],\n",
+      "         [  7.38388653,  22.51238988,  18.32837128, ...,  21.68954543,\n",
+      "                   nan,          nan]],\n",
+      "\n",
+      "        [[         nan,          nan,          nan, ...,          nan,\n",
+      "           42.57529255,          nan],\n",
+      "...\n",
+      "         [ 12.333173  ,  28.41159403,  22.87259253, ...,  27.3881325 ,\n",
+      "                   nan,          nan]],\n",
+      "\n",
+      "        [[         nan,          nan,          nan, ...,          nan,\n",
+      "          248.19258977,          nan],\n",
+      "         [ 42.87367917,  88.80021582, 106.52643991, ..., 113.11738056,\n",
+      "          164.02841003,          nan],\n",
+      "         [ 24.38907928,  40.30138706,  54.3540074 , ...,  52.7384575 ,\n",
+      "           77.66398026, 108.71171791],\n",
+      "         [ 12.03743894,  27.73215436,  22.3266134 , ...,  26.7337941 ,\n",
+      "                   nan,          nan]],\n",
+      "\n",
+      "        [[         nan,          nan,          nan, ...,          nan,\n",
+      "          245.29237797,          nan],\n",
+      "         [ 43.48132746,  88.60786711, 103.92382316, ..., 113.43129613,\n",
+      "          161.74577644,          nan],\n",
+      "         [ 20.04100436,  34.44959505,  47.99611584, ...,  52.2727773 ,\n",
+      "           77.46978657, 114.82469067],\n",
+      "         [  9.83042264,  22.66160408,  18.25205791, ...,  21.96490808,\n",
+      "                   nan,          nan]]]])\n",
+      "Coordinates:\n",
+      "  * latitude   (latitude) float32 16B 28.13 34.53 40.93 47.33\n",
+      "  * longitude  (longitude) float32 32B -119.1 -112.7 -106.3 ... -80.74 -74.34\n",
+      "  * distance   (distance) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
+      "  * month      (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12\n"
+     ]
+    }
+   ],
    "source": [
     "print(monthly_avg_ground_irradiance)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "365df99d",
    "metadata": {},
    "outputs": [],
@@ -137,10 +648,64 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "d79b185a",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<xarray.DataArray 'ground_irradiance' (month: 12, latitude: 4, longitude: 8)> Size: 3kB\n",
+      "array([[[         nan,          nan,          nan,  55.55454222,\n",
+      "                  nan,          nan,  54.30759401,          nan],\n",
+      "        [ 35.66458307,  40.59103488,  40.46357   ,  44.17483044,\n",
+      "          38.23314725,  45.83745845,  47.71876003,          nan],\n",
+      "        [ 39.04732841,  59.41248872,  51.33722895,  45.81060321,\n",
+      "          44.22284708,  47.42881641,  63.82298453,  56.19135839],\n",
+      "        [ 18.42538431,  31.28036718,  32.88908583,  47.30613005,\n",
+      "          47.39860878,  39.10015323,          nan,          nan]],\n",
+      "\n",
+      "       [[         nan,          nan,          nan, 104.8980246 ,\n",
+      "                  nan,          nan, 155.29302898,          nan],\n",
+      "        [ 36.79962246,  41.09304574,  45.26533339,  66.73025286,\n",
+      "          49.57519075,  53.01782325,  67.4399442 ,          nan],\n",
+      "        [ 53.60133553,  60.33875813,  55.05855703,  48.44754639,\n",
+      "          58.31600858,  59.08787611,  67.57435107,  54.71638341],\n",
+      "        [ 36.28722966,  46.43342067,  43.50432716,  62.83279925,\n",
+      "          60.6334192 ,  53.1093523 ,          nan,          nan]],\n",
+      "\n",
+      "       [[         nan,          nan,          nan, 348.21173935,\n",
+      "                  nan,          nan, 378.74006794,          nan],\n",
+      "...\n",
+      "        [ 38.29083014,  37.54177384,  39.04654308,  53.44733554,\n",
+      "          56.17393716,  63.47109262,          nan,          nan]],\n",
+      "\n",
+      "       [[         nan,          nan,          nan,  50.67159834,\n",
+      "                  nan,          nan,  76.8608843 ,          nan],\n",
+      "        [ 34.86013943,  34.68086615,  40.94334403,  48.2680945 ,\n",
+      "          45.57431594,  45.95696384,  53.67188758,          nan],\n",
+      "        [ 41.21827863,  53.5286527 ,  47.62802565,  49.86548579,\n",
+      "          47.2155504 ,  42.41094187,  48.98625946,  46.93656222],\n",
+      "        [ 26.93523979,  31.05764138,  27.01988711,  34.65464139,\n",
+      "          40.5100063 ,  41.67008131,          nan,          nan]],\n",
+      "\n",
+      "       [[         nan,          nan,          nan,  47.10179432,\n",
+      "                  nan,          nan,  66.80519706,          nan],\n",
+      "        [ 27.96973337,  28.58968181,  33.16463003,  50.27248172,\n",
+      "          46.83395599,  47.73322266,  51.28955115,          nan],\n",
+      "        [ 22.58342063,  34.84724638,  46.73696187,  41.06061184,\n",
+      "          44.12415287,  32.52202571,  41.72006111,  38.7341562 ],\n",
+      "        [ 10.55177385,  26.54350573,  21.51469669,  36.23303271,\n",
+      "          26.80682775,  24.15405281,          nan,          nan]]])\n",
+      "Coordinates:\n",
+      "  * latitude   (latitude) float32 16B 28.13 34.53 40.93 47.33\n",
+      "  * longitude  (longitude) float32 32B -119.1 -112.7 -106.3 ... -80.74 -74.34\n",
+      "    distance   int64 8B 4\n",
+      "  * month      (month) int64 96B 1 2 3 4 5 6 7 8 9 10 11 12\n"
+     ]
+    }
+   ],
    "source": [
     "print(ground_irradiance_4th_index)"
    ]
@@ -1161,9 +1726,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "rpp",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "rpp"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1175,7 +1740,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.12.2"
   }
  },
  "nbformat": 4,