From a5e30354e48f67f560b91182eb36664d99d8df6d Mon Sep 17 00:00:00 2001
From: uri <oriol.roque@superhog.com>
Date: Wed, 11 Dec 2024 14:35:43 +0100
Subject: [PATCH] Change AB test parameters to track real AB test

---
 ab_test_guest_journey_monitoring.ipynb | 133 +++++++++++++------------
 1 file changed, 67 insertions(+), 66 deletions(-)

diff --git a/ab_test_guest_journey_monitoring.ipynb b/ab_test_guest_journey_monitoring.ipynb
index 126e08b..7a5fc01 100644
--- a/ab_test_guest_journey_monitoring.ipynb
+++ b/ab_test_guest_journey_monitoring.ipynb
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -29,7 +29,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [
     {
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -79,7 +79,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
@@ -107,52 +107,52 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "    ab_test_name variation last_update  guest_journeys_count  \\\n",
-      "0  AAVariantTest         A  2024-12-04                   470   \n",
-      "1  AAVariantTest         B  2024-12-04                   478   \n",
+      "                                 ab_test_name variation last_update  \\\n",
+      "0  VerificationProductSelectionButtonPosition     Fixed  2024-12-11   \n",
+      "1  VerificationProductSelectionButtonPosition  Relative  2024-12-11   \n",
       "\n",
-      "   guest_journey_started_count  guest_journey_completed_count  \\\n",
-      "0                          470                            284   \n",
-      "1                          478                            270   \n",
+      "   guest_journeys_count  guest_journey_started_count  \\\n",
+      "0                    18                           18   \n",
+      "1                    24                           24   \n",
       "\n",
-      "   guest_journey_with_responses_count  guest_journey_with_payment_count  \\\n",
-      "0                                  75                               146   \n",
-      "1                                  72                               143   \n",
+      "   guest_journey_completed_count  guest_journey_with_responses_count  \\\n",
+      "0                              3                                   2   \n",
+      "1                             10                                   3   \n",
       "\n",
-      "   guest_revenue_count  deposit_count  ...  \\\n",
-      "0                  146             29  ...   \n",
-      "1                  143             24  ...   \n",
+      "   guest_journey_with_payment_count  guest_revenue_count  deposit_count  ...  \\\n",
+      "0                                 4                    4              1  ...   \n",
+      "1                                 5                    5              1  ...   \n",
       "\n",
       "   guest_revenue_avg_per_guest_journey  guest_revenue_sdv_per_guest_journey  \\\n",
-      "0                             7.836050                            13.857327   \n",
-      "1                             7.631339                            13.202289   \n",
+      "0                             5.800667                            13.402593   \n",
+      "1                             5.902642                            13.025999   \n",
       "\n",
       "   deposit_avg_per_guest_journey  deposit_sdv_per_guest_journey  \\\n",
-      "0                       0.496000                       2.104774   \n",
-      "1                       0.367761                       1.715542   \n",
+      "0                       0.367500                       1.559170   \n",
+      "1                       0.261454                       1.280859   \n",
       "\n",
       "   waiver_avg_per_guest_journey  waiver_sdv_per_guest_journey  \\\n",
-      "0                      7.180958                     13.653492   \n",
-      "1                      7.090684                     12.993245   \n",
+      "0                      4.910261                     11.769242   \n",
+      "1                      5.641188                     13.081060   \n",
       "\n",
       "   check_in_cover_avg_per_guest_journey  check_in_cover_sdv_per_guest_journey  \\\n",
-      "0                              0.159091                              1.210487   \n",
-      "1                              0.172894                              1.253337   \n",
+      "0                              0.522906                                2.2185   \n",
+      "1                              0.000000                                0.0000   \n",
       "\n",
       "   csat_avg_per_guest_journey_with_response  \\\n",
-      "0                                  3.853333   \n",
-      "1                                  3.972222   \n",
+      "0                                       4.0   \n",
+      "1                                       3.0   \n",
       "\n",
       "   csat_sdv_per_guest_journey_with_response  \n",
-      "0                                  1.204646  \n",
-      "1                                  1.020525  \n",
+      "0                                  1.414214  \n",
+      "1                                  1.732051  \n",
       "\n",
       "[2 rows x 26 columns]\n"
      ]
@@ -160,7 +160,8 @@
    ],
    "source": [
     "# A/B test name to measure\n",
-    "ab_test_name = \"AAVariantTest\"\n",
+    "#ab_test_name = \"AAVariantTest\"\n",
+    "ab_test_name = \"VerificationProductSelectionButtonPosition\"\n",
     "\n",
     "# Query to extract data\n",
     "data_extraction_query = \"\"\"\n",
@@ -224,12 +225,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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dO3YAgMHQHQDMnj0b77//Ps6dO4eMjIxWDV00p/6533vvvY3eP2/ePGzcuBGxsbHQaDSQyWRITExESUkJXFxcMGnSpDZtLzk5GadOnUJWVhZqamr076lGo4FWq0VGRgb69OnTrucE6IbjtFotIiMjG31vvLy8MGrUKBw8eBBnzpxBTEyMwf1yudxguLOeh4eH/nurrKys2caFMWLot6B+77CpiU/jx4/XH0MLAA8//DBOnTrVIdvOzMwEoJtM2NLJRG6t79FHH0VcXBxOnjyJxx57DBYWFoiIiMDgwYMxffr0Ricadob6L7qmxsskEgn8/PxQXl7e5i/F5vj6+ra4zK0tkFvVh51SqTS4vf69aE2rvKSkRB/6Tk5OmDVrFjZv3owff/wRjz76KABg06ZNEAQBc+bMgY2NTYvrBIAbN27g888/b3D7wIEDMX/+/FatA9B9ie/evRu//PILXnzxRVhZWaG6ulrfcr792Pz09HSsWLECKSkpTa6zudZZa96P2xUXF2PlypWIi4trdrmqqqoOCf2WPquAbl5AcnJyo5/Vtn6eWnL48GEUFhbqg+lW7u7uGDNmDH777Tds3bpV3/K8Uy09d39/fwC6uTJlZWVwc3NDdnY2ACA4OLjF+Rn1ampq8Nxzz2H//v3NLtdRLf3Wvqe3LnsrDw+PJo8GsLe3R3l5eYf3UHYFhn4L+vTpg507d+LKlSvQarUNuhs7ilarbXBb/R6wh4dHgz/8293adWVjY4N169YhISEBx44dQ3x8POLj43H58mWsW7cODz74IF555ZWOfQJdqLHX6latmdzU1vexfptTpkwx6PptjLOzs8HvixcvxubNm/Hdd9/hkUcegUKhwLZt2yCRSNrUtV9UVNRorxKANoX+8OHD4evri+zsbOzfvx8zZ87Enj17UFNTg6CgoAa9JKtWrUJKSgrGjx+Pxx57DKGhobC3t4eFhQWUSqVBb0Fj7mSy2d/+9jfExcVhwIABWLlyJXr16gVHR0f9l/CoUaNQWFhoNGe/7OjvhfoJfAqFotFJnvUhtW3bNqxatQoymaxDt98Z3nvvPezfvx8hISF49tln0bdvX7i4uOh7ARcsWID4+Phu+54aC4Z+C8aPH4+3334b5eXlOHLkyB3P4K//sqqurm70/pycnAa3eXt7A9CFyFtvvdXmbUZHR+tb9Wq1GgcOHMDzzz+PTZs2YcqUKU2eb6Cj1J8oo76V3Jj6Q2xuPanGnbxWna1Hjx5IT0/H448/3mLI3a5nz54YMWIETp48iaNHj6KgoAAVFRUYM2ZMm7pmhw4datCrdKekUinmzJmDjz/+GFu3bsXMmTP1Xfu3dyXfuHEDV69ehZubG/773/9CLjf8yrh582a767ldTU0Njh49CqlUirVr18LR0bHB/UVFRR26zdZ8Vuvv6+wTwBQUFODo0aMAdLPPmxpvrl/22LFjGDdu3B1vz8vLCxkZGcjMzER4eHiD++v/Rq2srPS9Kj4+PgB0vUCCILSqtb9nzx4AwPvvv99od3t6evqdPoVGGdN7aky6565MBwoMDNRPanrrrbdQWVl5R+upHz9u7JjdwsJCJCYmNri9fk/4+vXrzXattoZcLsfUqVP1PQbJycn6++pD9vbjzNurfr7B7t27G+0G279/P8rLy2FnZ2cwZ6H+D7Cp45vrx9e7Uv3YXv0XV1vVnwth48aN+kl9XXGYXlPmzJkDqVSK06dP48SJEzh//jxkMlmDiVz1xzF7eno2CHwAnXJK2MrKSmg0Gtjb2zcI/PptNtUarP8st3Sq4dvVf1brD/m73ZUrV5CUlASpVNrpE2FvPWzy6tWrTf489thjANp/zH79c2+qF6l+/YMGDdJ/BqKiouDi4oKSkhIcOHCgVdup/yw1Ntxz7NixJq8pcKfv6eDBgyGVSpGUlGTwfVevfocJgP6wQnPA0G+F1atXIzAwEOnp6ViwYIF+4svtsrKyGp3ZCwAjRowAAHzxxRcGJxYpKSnB888/j5qamgaPsbCwwIoVKyAIAlasWNHoEQEajQanTp3ChQsX9Ld9++23SE1NbbBsYWEhLl++DOCPPXXgjx6Fmzdvduhs1GnTpsHHxwcFBQV48803DXYqMjMz9b0XixYtMphoOGzYMEilUhw/ftzgtRYEARs2bMCvv/7aYTW21mOPPQZHR0esX78eX331VaNjtJmZmdi5c2ejjx87diwCAwNx7NgxJCcnIyAgAGPGjOnsspvk4+ODESNGQKvV4q9//SsAYMyYMQ0mNwYFBUEmk+HatWsNzmf/22+/Yf369R1em7u7O5ycnFBRUaGfzFbvwoULeO+995p8bP0OY1t3kgcNGoR+/fqhrq4Oq1evRm1trf6+kpISrF69GgAwffr0JsfvO0p9r8vtO2C3q7//8OHDTc45ao3FixdDLpfjwIEDDT6/x48f1x8ZtHTpUv3tcrkcy5cvBwD8/e9/x7lz5xqsNyEhweD7sH6SbP1x/fVSU1ObHW680/fUx8cHU6dOhSAIWL16tcFORU1NDVavXg2FQoEBAwY0mMTXnbF7vxWcnJzw3Xff4dlnn8WpU6ewaNEieHt7o3fv3nBwcIBCoUB6ejquXbsGQRAQHh7eYLb9Qw89hB9++AGJiYn6i/TU1tbi0qVL6NGjByZOnNjoHvPChQuRk5ODL7/8Eg899BDCwsIQEBAAa2trFBYWIjk5GRUVFXj11Vf1h0Vt2bIFr732Gvz8/BAWFgZ7e3uUlpYiNjYWdXV1GDZsmMHZ9nx8fBAVFYXLly/j7rvvRlRUFKysrODi4qIPhNa4vYvP0tISH374IR5//HF89913OHr0KPr164fq6mqcPn0aCoUCo0aNwlNPPWXwuB49emDhwoXYsGEDHn74YQwcOBDOzs5ITk5Gbm4uli1bhrVr17a6ro7g7e2NTz/9FCtXrsTbb7+NL774AmFhYfDw8EBVVRVu3LiBjIwM9OvXD/fcc0+Dx0ulUjz00EP417/+BQB48MEHWz0BqrPMmzcPx48f1wdGYxfXcXV1xUMPPaR/LwYNGgRPT0+kpaUhMTERTzzxBD777LMOrUsmk+HJJ5/Em2++qR+O8vf3R05ODuLj4zFr1izExsbqJ5PdasqUKdi2bRv+85//4NSpU3B1dYVEIsHcuXNb/GJ/9913sWTJEhw8eBB33XUXBg0aBLVajTNnzqCqqgqRkZH68O8sZ8+exc2bN2Fpaak/bXJTwsLCEBkZicTEROzYscMglNsiIiICq1evxquvvornnnsOX3/9NYKDg/WvtyAIWLlyZYN5RUuWLEFaWhq+//57LFy4EH369EFwcDCqqqqQmpqKzMxMbNiwQd+oWLFiBVatWoUPP/wQe/bsQVhYGIqLixEXF4eBAwfC09Oz0TPdTZw4EZ988gm++eYbpKSkwNvbG1KpFBMmTMBdd93V7HNbvXo1UlNTcfHiRUyaNAlDhw6FTCbDuXPnUFJSAj8/v1ZfebK7YOi3kpubG9avX49Tp07h559/xvnz53Hu3DnU1dXBzs4Ofn5+uO+++zB16lR9S/VWjo6O+O677/Dee+/h2LFjOHr0KLy8vHDffffhqaeewuuvv97ktp977jlMnDgRmzZtwvnz53Hs2DFYWFjAw8MDQ4YMwbhx4zB58mT98n/5y19w+PBhXLx4ERcvXkRlZSXc3NwQHR2NuXPnYsaMGQ26aj/++GO8++67OHPmDPbs2QO1Wg1fX99WhX796Ukbm+AWHR2NHTt24PPPP8fRo0exf/9+WFpaok+fPrjnnnswf/78RruNX3rpJfj4+OCHH35AfHw87OzsMGDAAHzwwQeoqqrq8tAHdN2Fv/zyCzZu3IgjR47g0qVLUCqVcHNzQ48ePTBr1iyD9+F29V+aNjY2DcbOxXDXXXfBxcUFpaWlcHd3b3Jc+KWXXkJERAQ2bdqEy5cvQyaTITw8HO+//z6mT5/e4aEP6I6C8fPzwxdffIEbN24gJSUFISEhWL16NR544IEmv+zHjRuHN954A9999x1Onz6tb7EPHDiwxdD39/fHtm3b8NVXX+HAgQM4fPgwpFIpgoODMW3aNCxevLjDzoDXlPqu9PHjx7fqqIR77rkHiYmJ+PHHH+849AHg/vvvR69evfDll1/i/PnzuHr1Kuzt7TF27FgsXrwYI0eObPAYiUSCf/zjH7jrrrvw/fff4+LFi0hJSYGDgwP8/Pwwe/Zsg6OOJk+ejI0bN+K///0vkpOTkZmZCX9/f6xYsQJLly7VH9lyu169euHjjz/Gl19+iYsXL+LUqVMQBAHe3t4thr6Liwu+//57fPPNN9i9ezdOnDgBrVar/75eunRphxz9YUokgrFMlSST9dZbb2HdunUYP3481qxZI3Y5Ruv999/HmjVrcP/99+tP9kJE1JU4pk/tkp+fr79UaUuHFZqzgoICbNq0CVKplJdFJSLRsHuf7siGDRv0s74rKioQGhra6JiwuXvnnXeQn5+PU6dOoaKiAgsWLDCZy7oSUffD0Kc7Un+ol5eXF+655x48+eSTnT7eaYp2796NnJwcuLu7Y8mSJW2aGElE1NE4pk9ERGQmOKZPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJuRiF0BE4lFrBdSpfv9R6/5VawFBALQCIECAIPzxuytKEVB9BZBIAEh0/0qkgFQOWFgDcktAbg3IrXT/t7jl/0QkOoY+UTdTo9SiViVAoRZQpwLqVAJq1QIUtwR7fcirtW1bd195CQJyj7e9KIkEkFkBljaAtSNg46j799b/2zgClrZtXzcRtRpDn8hE1Sq1KK0VUFar1f3UaFFep4VKI3ZljRAEQF2n+6kpbXo5mQVg7QDYOAH27oC9B+DgCTh46HoNiKhdGPpERk6hFlBWo/0j3H//UajFrqwTaFRAdYnupyjN8D5rB8OdAAcP3e8cOiBqNYY+kRGpVQnIq9CgqErze7gLqFUJYpdlHOoqdT9FqYa327sDLv66H1c/wM5NnPqITABDn0hESrWAvEoN8ip0P2W1DPg2qyrS/WTG6363tAVc/P7YEXDqAcj4VUcEMPSJupRaIyC/UoO8Si3yKjQoqdaCMd/BlDVA/jXdDwBIZYBjD8A9GPDsCTj7/n70AZH5YegTdSKNVkBRlRa5FRrkVWpQVKWFlinftbQaoCxL93P9GGBhA3iE6nYAPEJ5xACZFYY+UQerUwlIL1Ejs1SDwipNmw+Lo06mqgVyLut+IAGcfX7fAeipGwpgLwB1Ywx9og6g0gjIKFEjrUSD3AoNBLbmTYQAlGXrfq4dAazsAK9egG+Ubj4AdwCom2HoE90hjVZAVpkG6cVqZJVpoGHQmz5FNZARp/uxcQJ69AF8ogAnb7ErI+oQDH2iNtAKAvIqtEgrViOjVG2cJ8KhjlFbDqSe0v3YuwM+kbodADtXsSsjumMMfaJWKKzSIK1YjfQSDep43Lz5qSrSdf9fOwI4+QC+fQG/vrpJgUQmhKFP1IQapRbXCtRILVajSsGgp9+V5+h+kg/qWv9Bg3UTAIlMAEOf6DYl1RpcyVMjvUTNw+uoaVo1kHVR9+PkAwQO0u0E8ERAZMQkgsB5xkSCICC7XIMruSrkVfIYu6b0lWdgQO6PYpdhvCxsAL9+QOBAjv2TUeIuKZk1tVZAapEaSXkqlNdx/5faSVULpJ3W/XiEAkFDdOcAIDISDH0yS7UqAVfzVbhaoOqeV6sj8RXe0P04eAKhIwGfPoBEKnZVZOYY+mRWymq0uJKnQmoxx+upi1QWABe2A9cOAyHDdd3/HPcnkfCTR2Yhp1yDK3kq5JTzwHoSSU0pcHk3kHIMCB0BBMQw/KnL8RNH3VpxtQZxGUpOziPjoagErvwK3Diha/kHDgRkFmJXRWaCoU/dUpVCi/gsJdKK2bInI6WoApL26874FzYGCBjAMX/qdAx96laUagGXclVIzlPxXPhkGhRVum7/9LNAr7sAr3CxK6JujKFP3YJWK+BqgRoJOUrOxifTVFUExG4G3IKA3hN5lj/qFAx9Mnk3S9Q4n6lEJU+VS91BcTpw/Avd+f0jxuuu9kfUQRj6ZLIKKzWIzVSisIqT9Kgbyr4E5CYBwUN0x/lbWItdEXUDDH0yORV1WpzPVCKjlJP0qJvTqoEbJ4HMC0DvSYBftNgVkYlj6JPJ0GgFXMhSISlfxRPrkHlR1gAXdwLZCUDUdJ7Xn+4Yjw8hk1BYqcHPl2uRmMfAJzNWlAYc/R9w/TigZU8XtR1b+mTUNFoB8VlKJOWpwawngq7L/+ohIOcy0Hcm4OIndkVkQhj6ZLQKKzU4kaZABa9+R9RQZSFwch0QMBDoNYET/ahVGPpkdHStexWS8lRs3RO1JCMOyL8KRE0DvHuJXQ0ZOYY+GRW27onugKIKiPtBdwW/yKmA3FLsishIMfTJKLB1T9QBsi4CJZlA/9mAi6/Y1ZAR4ux9El1hlQa7LtfiCgOfqP1qSoBT64GUo4DAE1eRIbb0STRs3RN1EkELXDsCFKbqWv22zmJXREaCLX0SRUWdFrsT69i6J+pMpZnAsbVAVoLYlZCRYOhTl8soVeOXxFqU1rLrkajTqRW6s/nFbwPUSrGrIZGxe5+6jFbQdecn5qrELoXI/OQkAhX5wMD7AHs3sashkbClT12iViXgwNU6Bj6RmKqKgBNfAvnXxK6ERMLQp05XWKnBL5drkVfB7nwi0akVQOzm32f3c0aNuWH3PnWqlEIVzqQreZEcImNz7QhQngv0mw1YWIldDXURtvSpU2gFAeduKnAqjYFPZLTyr+m6+6uKxK6EughDnzqcQi3g4NU6JOWrxS6FiFpSXQyc+Ep3/n7q9hj61KHKa7XYnViLXI7fE5kOtQKI3QLcOCV2JdTJOKZPHSa7TI2jNxRQacSuhIjuSPIBQFEJ9J4ESCRiV0OdgC196hBpxWr8lsLAJzJ5aWd0J/LR8o+5O2JLn9rtWoFuhj7n6xF1E7lXAGWN7kQ+nNnfrbClT+1yJVeF0wx8ou6nOF13tb66SrEroQ7E0Kc7diFLidhMnsubqNuqLABOruMhfd0IQ5/uSGyGAgk5PKUuUbdXWw6cXA+UZIpdCXUAhj61iSAIOJWmwJU8HoNPZDZUtcDZb4GidLEroXZi6FOraQUBx24okFLIwCcyOxoVEPs9g9/EMfSpVTRaAYdTFEgv4WE8RGaLwW/yGPrUIpVGwMFrdcgqY+ATmT0Gv0lj6FOzlGoB+5PreFlcIvoDg99kMfSpSQq1gF+T61BUzcAnotsw+E0SQ58apdEKOJRSh9IaBj4RNYHBb3IY+tSA8Pss/YJKBj4RtaA++Hkcv0lg6FMDZ28qkVHKSXtE1EoaFRC7GagsFLsSagFDnwxcylHiagGPwyeiNlLVAue+47n6jRxDn/RuFKkQn8VT6xLRHaotB85uAlR1YldCTWDoEwAgp1yNU2m8eA4RtVNlARD3A6DlEKExYugTiqs1OJyigJbXxyWijlCcDlzYAQj8UjE2DH0zV6nQ4uA1BdScqE9EHSn3CpC0X+wq6DYMfTNWpxJw8God6lTcGyeiTpB2Bkg9JXYVdAuGvplSawT8dq0OFXUMfCLqREkHgLxksaug3zH0zZBWEHD0hoKn1yWirnFhp26CH4mOoW+GzmeqeMU8Iuo6GiUQuwVQ1opdidlj6JuZzFI1ruTxWHwi6mI1pUD8VkBgD6OYGPpmpEqhxYlUhdhlEJG5KkoDkg6KXYVZY+ibCa1WwNHrCijZq09EYko7rTucj0TB0DcTcZlKTtwjIuNw8WdenEckDH0zkFGqRlI+L6JDREZCo9SdqlfN4cauxtDv5qoUWpzkOD4RGZvqYuDSL2JXYXYY+t2YhuP4RGTMchKB7EtiV2FWGPrd2HmO4xORsbu8B6gpE7sKs8HQ76YySjiOT0QmQK34/Yp8bKB0BYZ+N1Sp0OJkGsfxichElGYC10+IXYVZYOh3MxzHJyKTlHIUKMsWu4puj6HfzcRnKVHMcXwiMjWCFojfAaiVYlfSrTH0u5GiKg2S8jiOT0QmqqYESPxV7Cq6NYZ+N6EVBJxOV0IQuxAiovbIugDkJYtdRbfF0O8mkvLUKKlhtz4RdQOX9wCqOrGr6JYY+t1AlUKLi9kcByOibkJRBST/JnYV3RJDvxs4k66Emo18IupOMuKA0iyxq+h2GPomLr1YjexyHp9HRN3QpV2Alt9vHYmhb8KUagHnMtitT0TdVGUhkHpK7Cq6FYa+CTufqUStivP1iagbSzkGVJeIXUW3wdA3UQWVGlwr5DH5RNTNadXA5d1iV9FtMPRNkFYr4HQ6z61PRGaiKA3IShC7im6BoW+CEvNUKKtltz4RmZGk/Tx2vwMw9E1MRZ0WCdkqscsgIupayhrgBq/E114MfRNzJl0JDRv5RGSO0s4CteViV2HSGPomJLdcg9wKHrNKRGZKqwauHhK7CpPG0DchF3iqXSIyd9mXgPJcsaswWQx9E5FVpkZhFc+1S0SEpANiV2CyGPomQBAEXMji5D0iIgBAcTqQnyJ2FSaJoW8CMko1vGwuEdGtkg8AAr8X24qhb+QEQeBYPhHR7aqKgMwLYldhchj6Ri61WI1ynoiHiKiha0cADYc+24Khb8S0gsAT8RARNUVRBWTEi12FSWHoG7HrhWpUKtjKJyJqUuopQMvzl7QWQ99IabQCEnLYyicialZdBS/G0wYMfSN1rUCNGiVb+URELbpxgjP5W4mhb4TUGgGXctnKJyJqlZpSICdR7CpMAkPfCCXnq1CnYiufiKjVrp8ABH5vtoShb2TUWgGJeWzlExG1SVUhkH9V7CqMHkPfyKQXq6FQi10FEZEJun5c7AqMHkPfyFwtYOITEd2R8lyg8IbYVRg1hr4RKarSoLiaM1CJiO5Y2hmxKzBqDH0jwlY+EVE7Fd7QzeanRjH0jYRCLSC9mKFPRNRuN+PErsBoMfSNxPVCNTQ82oSIqP0yLwAaNqIaw9A3AoIg4GoBD9MjIuoQqloglyfraQxD3wjklGtQxQvrEBF1nPRYsSswSgx9I8AJfEREHaw8ByjLEbsKo8PQF1mVQovsMl4Wkoiow91ka/92DH2RXS1Qgx37RESdICdRN75Pegx9EWm0Am4UcgIfEVGn0KqBrASxqzAqDH0R3SzRoI7D+UREnSfnstgVGBWGvoh4mB4RUScrywGqS8Suwmgw9EVSrdCisIrn2Sci6nQ5PGa/HkNfJBmlnLFPRNQl2MWvx9AXSUYpB/OJiLpEVRFQkSd2FUaBoS+COpWAgkp27RMRdZlstvYBhr4oMkt5bD4RUZfKvQII/OZl6IuA4/lERF2sthwozRS7CtEx9LuYUiMgt4KhT0TU5djFz9DvatllGmjZw0RE1PXyk82+i5+h38UySjhrn4hIFIpqs5/Fz9DvQhqtgOxydu0TEYmmIEXsCkTF0O9COeUaqHmkHhGReAqui12BqBj6XYiz9omIRFaWAyhrxK5CNAz9LqIVBGTyLHxERCITgMIbYhchGoZ+F8mv0ELJhj4RkfjMuIufod9FMsvYyiciMgpFqWZ76B5Dv4vk8YQ8RETGQVkDlGWLXYUoGPpdoE4loKzWPPcqiYiMUqF5dvEz9LtAQSVb+URERqUwTewKRMHQ7wL5DH0iIuNSngNoVGJX0eUY+l0gv5Jn5CEiMiqC1izH9Rn6nUypEVBaw9AnIjI6JRliV9DlGPqdrKBSA07hIyIyQiWZYlfQ5Rj6nayQXftERMapNMvsjtdn6HeywmpO4iMiMkoaJVBZIHYVXYqh34kEQUBxNVv6RERGy8wm8zH0O1F5nQAVG/pERMarlKFPHaSoiolPRGTUyrLErqBLMfQ7URG79omIjFtVEaBWil1Fl2Hod6KiKoY+EZHRqyoSu4Iuw9DvJBqtgLJahj4RkdGrLBS7gi7D0O8kFXUCtOZ1+CcRkWkyo8P2GPqdpKKOrXwiIpNQxZY+tVOlgqFPRGQS2L1P7VVZx759IiKTUFcBqOrErqJLMPQ7SSW794mITIeZtPYZ+p2kQsGWPhGRyTCTcX2GfifQaAXUKBn6REQmgy19ulOVbOUTEZkWMzlBD0O/E3A8n4jIxNSWiV1Bl5CLXUB3xJn7punotjU4tn1tg9s9fENRmH0Ddy14GsNmLO70OvJuXsWXLz+AhS+tRWDvQZ2+PSICUFcpdgVdgqHfCSp4jL7JkltaY+GLaxrcplbWwdG9h0hVEVGn06gAZS1gaSN2JZ2Kod8J2L1vuiQSCXx7RotdBhGJoa6coU9tx4l83c8/F8Xou/fLi3Lw+UsL0H/cvZj44F/0y3z3nxUozcvAY//cDEtrG9RVV+LQD//F1dhDqKsuh4dfKMbftxIhfYcbrPv4ji8Qe2AzlHU1COk7DDET5nX10yMiAKitABy9xa6iU3EiXwfTagVUM/RNmlajNvgRBMP308ndB5MWPouze7/FzaQ4AEDcgR+QdvkMZv3pdVha20CjVmHT20/g+oVjGDf/Scz/y/tw9w3B5nf/jILMFP26zu3/Hke2foq+I6dj7qr/wNnDD7u+eK1Lny8R/c4MxvXZ0u9gVQoBjHzTpVLU4s2HhxjcNmv56w2W6zfmHlyNO4yf167G3D+/g4Pff4DhMxbDL7wfAODyyd3Iz7iGx/75PTx8QwAAodEjUJKXgeM7vsCclW9Dq9Xg5M/r0HfkDNz1wF/0y9RUlODSiV86+ZkSUQO15WJX0OkY+h2smiflMWlyS2ss+tsXBre5ePo2uuyMpX/H2hfn4+vXHoFbjyCMmbNcf1/qpdPw8OsJN+8AaDVq/e3BUcNw+cRuAEBlST6qSgsRPmi8wXp7DZnI0CcSQ12F2BV0OoZ+B1NqGPqmTCKRwCekT6uWtXNyRVDkEFw5/SsGjJ8DmdxCf19tZRnybyY36DUAAIlUBgCoKtOdDMTO0dVwvbf9TkRdpJahT22kYuibjRsJJ3Dl9K/wCuyFY9v+h96DJ8LOSRfY1vaO8PQPw4zHXmny8fbO7gCA6ooSg9tv/52IuogZjOlzIl8HU2nEroC6Qm1VOXZ98Roih0/For+thdzSCru/ekN/f3DkUJQVZsPBxQM+IX0a/ACAg6sX7J3dcS32kMG6k88e6NLnQkS/U9WIXUGnY0u/g7F73zzsXf8mAGDKkhdgZWOPu5f9A9++tRwXj/6EfmNmoe+omTh/aCs2/utxDJ22CG49AlFXXYm8m8nQqtUYf/9KSKUyjJj5CPZt/A/snFwRHDUMqZdOIz0pVuRnR2Sm1EqxK+h0DP0Oxu797i/x1K+4cmYfFvzfx7CxcwQABPUZjMGTF2D/xncQ1GcwnNx7YOGL/8PRbf/DiZ++RFVZEWwdnOEV2AsDJ87Xr2vQ5AWoq6lE3IEtiDvwA4KihmLGo3/H9/9ZIdbTIzJfglYX/HJLsSvpNBLh9oOQqV1OpSmQUqhueUEiE9RXnoEBuT+KXQZR57nracDaQewqOg3H9DsYW/pERCZMrRC7gk7F0O9gSk7kIyIyXQx9agu29ImITFg3D31O5OtgDH2irvfx3ov4775L+t+dbS0R4uWE5XdFYWyfxs+o2Jiskirc9cYOfLhkNKb2C2z1485cz0N8ehGWT4xqUNdXh5MQ/9aCVq+LRKbq3qHPln4H43H6ROKwtpBh86op2LxqCl6/bxgUKg2Wf3kY59MKO33bZ6/n438HLje4ff6wnvj6yYmdvn3qQGzpU1vwOH2gJD8Dp3d/g+zrl1CYdQPuPYKw7K0fGiynUtTi+I4vcOXMPlSVF8PR1RPRo+/G8BlLIJW1/NHc+tFzcPboob9Yza2UdTVY89wcVJYW4JF/bNSfEEdRW4Uzezbi+sUTKMm7CbncEj1CIjH+vhXw9A9rcZtZKRfx2/cfIjctCVY2dug9dBIm3L8KFlZ/XIM7+/ol7P7qdZQX5SFswGhMe+RlWFr/cf/NpDjs/OxvWP7vbbC0ttXfXlaYg7UvzMOyt36Es4dPi7WQIalEgv5BHvrf+wW4Y+zr27Dj3A3EBHs088jO4+1sB29nO1G2TXeIoU9toWZLH4VZqbh+4Th8Q6MAQQtB2/iO0N4Nb+Pqud8wbv5TcPcNQfb1BBzZugZKRS3Gz2/+OPXc9CSkXDiKp979udH7j+/4HFptwzejvCgP53/bhv5j78G4eU9CrVLi9O4NWP/qEix9bSPcf78iXmPKi3Lw7VtPICBiAOau+g8qywpxaPNHqCorwtxV/wEAaNQqbP/kBUQMmoCgPoOxZ/2bOPnzVxg3/ykAgFarwb5v/o0J968yCHwAcPbwQa8hE3F02xrM+hMvr9teXs62cLWzRk7ZH2dZi08vxPu7LyAhowgyqRTjevvipdmD4OZg3eR6dpxLxebTKbiRVw4BQC8fZ/zfzBhEB+pOo3zr0ELEMxsBAENCPfHNU5MNuvdrFGqMeOUHrJzSD4+ON7y+w6r1R5FfXoPNf54KAKioVeK9Xy7gwKUMlNUoEd7DGc/M6I9REdwZ7HSa7n3INbv3O5BKw8vqAkD4gDFY9eEezF31H3gH9m50GUGrRdLpfRgy9UEMmnQ/gvoMxshZjyJqxDRcOb2vxW2c+/U7hPQdDgeXhi24opw0xB7YgjFz/tTgPmcPXzz17k6Mm/8UQvoOR3jMWCz468eQW1oh7mDD3ohbnfh5HaztHDD/L++jZ/9RGDDuXkxf+jKSzx1EXnoyAKAkLwO1VRW464GnETZgDAZNuh+pl0/r13H+4I+wtLFD1MjpjW6j/9h7kHhqL6orSlt8Dah51QoVymsU8HO1B6AL/EWf7IeDtSXeXzQar88fikuZxXjyq8PNrierpAqzB4XgwyWj8c7CkejhYoeHPtmHtALdxVnmD+uJeUNDDYYXXpnb8EJLtlZyTIj0wy/x6Qa3V9WpcPhKNmbGBAEAlGoNHllzAIevZOHp6f3x2aPjEOrlhD99fghXc/i56Hzd+1ucLf0OxEl8OhJpy/uSAgRotRpY2dgb3G5lYw+0cL4oZV0tks8dxLSHX2z0/n0b/o2YCfPg1iOowX23drP/cZstXDz9UVna/NhvfvpVBETEQG7xx9m6QvoOBwCkxB+Fd1AvqNVKyOQWkP5+JT0LS2toVLpTe9ZUluHY9v/hgec+bXIb/uEDYGPvjMRTezBkyoPN1kMNqTVaAEBBRS3+8/N52FlZYPGYCADAu7viEeXvhv8+MgYSiQQAEN7DGTP/swtHrmQ3OeFvxZRo/f+1WgEjw3sgIaMY28/dwDMzBui68J1sGwwvNGbGgCA8+dURpBdWIMhDdzbHA5cyodZqMa2/buLgz+fTkZxdip1/nYGe3s4AgNG9fHCzsBKf7r+ED5eMufMXiMweQ59EIZXKED36bsQe2AL/iAFw9wlG9vVLuHziF4ya/Xizj82+ngCVohZ+4f0b3Jd09gAKsq5j7p//o299t6SuuhKFWdcRHDW02eXUKgXkt52eUyqTAxIJinLSAABu3kHQatS4dOIXBEcOxaXju9AjJBIAcOTHTxExaAK8g3o1uQ2JVArfnn2Rdvk0Q7+NapRqRP7fJv3vMqkEny4dixBPJ9Qq1TifXojn7o6BRiugvjUX5OGIHs52uJRZ3GTo38gvx3u/XEB8eiGKq+r0t6cXtv2KbKN7+cDRxhK/xKfjqcm6nYlf4tMxtKcX3B10O6QnruYgvIczgjwc9TsxADAiwhs/xaW1eZtEt2LodyCZVCJ2CSZl6sMvYs+6f2HdK4v0t424+xEMnbaw2cflpCb+3jr3M7hdpajFgU3vYdz8pxr0IDTn4PcfABIJYu6a1+xyrt4ByElLhCAI+pZiTuplQBBQV10OQNeTMHnxc/jli9egUavg5hOEMXP+hPyb15B87gD+9PbWFuvxCghD3IEtra6fdKwtZNi4YjIErYD0okq8+0s8nt90Ej8/NxOCFtBoBby5Mw5v7oxr8NjcsupG11lVp8LS/x2Eq50VXrhnIHxc7GBlIcPLm09DcQcTeCzlMkyO9sfu+Jt4anI0SqsVOHktF6/dN0y/TGm1AleySw12YOrxO4bai6HfgWT8e2yTQ5s/wvULxzDj0dVw9fZH9vVLOLZ9LaztHDF8xpImH1dVVgQbe+cGtx/f+QXsHF3Rb8w9ra7h4tGduHB4O+5e9g84uno1u+zAu+bj27eW49CWjzF02iJUlRbi16/fgkQqA/DHmx89aiYiBo5HdXkxnD19IZXKsOPTlzBq9jLYOrjg+M4vcP63rYAgYNDkBRgx82GD7dg4OKOmsgwatQoyuUWrn0tXcEKF2CU0SSqRoK+/GwAgOtAdwZ6OuO+Dvfhk3yU8f/dASCTAn+6KwsS+/g0e62Jn1eg6L9wsRF5ZDf736Hj08nXR315Zp4Q3bBt9TEtmDgjCj2duIDmnFBfSCyGVSjD5lpqcbK0Q0cMZ/1ww/I7WT9Qchn4HasVQNv2uIPM6Tu/+BvP/8j7CY8YCAAJ6DYRGo8aRrZ8hZsI8WNk0fqiTWqUwGFcHdDPrz+zZiHl/fheKmioAusP2AEClqIGyrqbBbPnrF09g91f/xKjZjyN69N0t1hwUOQQT7l+Fo9vX4tSu9ZBIpIiZMBdSuQXsnd0NlrWysdPXn3hqL+qqKzFw4nxcv3AcZ3Z/gyWvrAcArH91CbwCwhEaPUL/2PohBLVKaVShLxW0CCw7J3YZrdbX3w0zBgRi29kbWDE5Gv0DPZCaX46+0/u3eh11v594w0L+xx/3+bRCZJdUI+z38Xbd/TIoW9nyH9LTCx4O1vjlfDou3CzEmF6+cLD54/M8IswbR5Ky4eloAy+nO9uxIGoKQ78DSSUSSNDd5352jKKcVACAd2CEwe3egb2gUSlRWZIPqyYOn7Oxd0JdjeF4allhDjRqFTa/u6rB8hv/tQw+oVF45NUN+tuyrydg20f/h76jZmLs3CdaXffwmQ9j4MT7UVaYBTsnd9jYOeC9JydgwLh7G11eWVeLg99/iFl/eg1SqQxpiWcQFDkE7j7BAIDgqKFIu3zGIPTraiohk1s0udMjloEWKZDVmtbs8Scn98XuCzfx9dFkPHd3DJZ8th9PbziGGf0D4WhribyyGpy8loc5Q0IwtKd3g8f3D3SHrZUc/9h6FsvuikR+eS0+3nuxQRiHejpCrRXw9dFkDAhyh721BUI8nRqtSSaVYmr/QGw/dwPFVQq8t2iUwf2zB4fg+1MpWPzpfiwd1wdBHg6orFXhSnYJVGotnp05oONeIDI7DP0OJpMCam3Ly5k7J7ceAIDc9GQ4uv3xZZubngRIJHBy79HkY916BKKmohTKulr9bHyvgAgsfGmtwXL5N69i/7fvYtojL+kn0wFAYXYqNr/7ZwT2GYzpj7zU5totrW30J/K5cGQHIAC9h05udNkTP38J39C+COozWH+bSvHHZDCloha37yaWF+bA1bv1p4DtEoKA8IqzYlfRZiGeTpjePxDfnbyGP90ViU0rp+DjvRfx4venoNJo4e1si2Fh3gh0b/xSqu4ONvhw8Rj8++c4PPnlEQR5OOAf84fii98SDZYbH+mHB0eGY+3ByyiuqsPgEN1x+k2ZOSAI3xy7ClsrOcbfNoHQUi7Dhicn4uNfE7DmwGUUVtTC2c4KfXxd8ODI8Pa/KGTWJILQwvFR1Cbfx1Wb/ZX2VIpaXL94AgAQd2ALSguyMPHBZwDouvDtHF2g1Wqw/tUlqCjJx5g5y+Hq5Y/sG5dxfOcXiBw+FTMfW93k+otzb2LNc/di8ctfwj+i6VbPzaRYbPzXMoMz8lWXl+DL1Q8BgoBZf3oNFlZ/nJTF0sYeHr/3LpQX5eCTZ+/B6NmPY/S9ywAAZQXZSDj+M3xC++rWf+Uszv76HWY+/gr6jpzRYPulBVn4avVCPPbGd/qdmJT4o/jxw79i2iMvAQKwZ/2/MP/p99Cz/x+tvXWvLIZ3cO8mD0kUwwCLVPTN2SF2GUSdL2I80HNUy8uZKLb0O5hMKgHM/Hj96opSbPv4OYPb6n9f+NJa2DkOglQqw33PfIAjWz/DyZ+/QnVFKRxdvTB8xmIMv21i2+3cegTC078nriecaDb0G1OUk4rKknwAwLdvLTe4L6DXQCz62+cAdKcKELQaCMIf3TZSuRw3k+Jw9tdN0KjV8AoIw7w/v4OwAY0fN73/23cxePIDBr0WYQPGYOSsR3H4h08AAKNmP24Q+NXlJchNT8L4+5o/I2FX61V5RuwSiLqGpHtPzmJLv4Ntu1CDKiVf0s52bt/3OPfrJjzxzk794XPdQez+zTi791ujel5R8gzE5P4odhlEXSNqGhA4SOwqOk333qURgYyvaJfoP242VCoFUuKPil1KhxG0Wpzb9x1G3bvMaAIfAKKq2conMyJv/PDN7oIR1cGkPHlGl7CwtMbdj/8DGrVK7FI6TGVZIaJH342+Ixo/L78YIuQ5sKzIFLsMoq7TzUOfY/odjCfo6TohfYe1vJAJcXT1wshZj4pdhoF+tWzlk5lh6FNbsHufuosQeQGsC03jXO97LtzET3FpSMwqQUWtAoHujlg0OgJzh4Q2OVRy4FImnlp3BGHeTtj1XMsnZwKAVV8fha+LHZ6fNRAAsO3sDbz4/akGyz0+IRJ//f14+qySKtz1xo5G12cpl+LSv5u+xkJJVR0+3X8JF28WISm7FBYyKeLfWtBguUOJWXhzZxzKqhWYNSgYL94zELJbzha2/dwNbDiajK1/mW7QGxmXVoAnvzqCg3+7B/bWlg3Wa5YY+tQW7N2n7iJGYTrH5a8/kgRfVzu8MCsGLvbWOHk1F3/fcgZ5ZTUGV8mrV6dU4187Y+HuYN3I2hqXmFWMQ4lZOPC32Q3u+2LZBDhY/3H2xFtP3uPpaIPNq6YYLC8AeGztbxjWyAmBbpVfXoPd8TcRHeCGKH+3Ri+tW1qtwLMbT2D5xCj4udnj71tOI6KHM+YP051LoqpOhXd/uYAPl4xuMPw4MNgTYV5O+OpwElZN7dfSS2AeLBj61Aa8IAZ1B/6yYtgUXhO7jFb77NFxcLX/I8CHh3mjrEaBdUeS8OSkvg3C7n8HE+HjbAc/N3tczixu1TY2HL2KURE+jZ4aN9LP1WD7t7KUyxpccvfM9TxU1akwMyao2W1G9HDBydd0F4L6eO/FRkP/4s1C9HC2xbK7IvXrPn41Vx/6n+xLwNCeXhgY7NnoNuYN7Ym3f47DE5P6woJdld2+pc93uINZyMSugKj9BqvOwZR2XxsL3N6+rqiqU6FGqTa4PaOoEuuOXMHL9w5u8Jim1CjU2JeQgSn9AtpdKwDsOp8Oe2sLTIj0a3a51kwMVqq1sLrli8fGQg7l76cFTSuowNYzN/DczJgmHz+xrx8qa1U4kpTdyuq7OXnre39MEVv6HczWUgrAzE/JRybNW1YGu6Iksctot7i0Ang52cLe2vCiRf/cEYt7BoUYXDWvJRduFqJGqcbAYI9G75/5710orVbAx8UO9w3riccm9DEYU7+VSqPFvoQMTOrrbxDWd6q3ryuu5ZbhdEoefF3tsS8hA/OG9QQA/GtHLB4d3wdezk1fuMfe2hI9vZ1w8mouJkY1vAKhWZHKu/2V0xj6HczWwpTaR0QNDdXEQmLi5+yKTS3A7vibeH6WYQv3t8QsxKcVYu+Ls9q0vksZxbC1ksPfzfAc/R6ONlg5JRr9At0hkQC/Xc7CB3suIr+8BqvnDml0XUeTslFWo2yxa7+1/N3ssXJKNB5ecwCCAAwIcsfi0RH4LTEL6YUV+GTp2BbX0cvHBRczijqkHpNm0b1b+QBDv8PZWTH0yXS5SSvhWHBZ7DLaJa+sGn/ZcAxDe3ph8ehe+tsVKg3+tSMWK6dGNzn+3pTCilq42DUc6x3dyweje/nofx8V4QMrCxm+PpqM5ZOi4OnYsIX98/l0uDtYY3hY85P42uJPE6Nw//AwVNYp4edqD5VGi7d2xuHF2YMglUjwz+2x2H0hHTaWcqyYEo3ZgwyvYOliZ4XCirom1m5GrIzrypadoXv3Y4jAzpKhT6ZrhBAHiWC6l4msqFXi8bWH4GxnhY8fHmMwJv710SRIJRLMGBCEilolKmqVUKm10Aq6xynVTQ/LKdQaWMpb1xU/rX8gNFoBSdkNJ91VK1Q4lJiFaf0Dm+z+v1POdlbwd3OARCLBusNJCHB3wIRIP2w+nYJDV7Kw7ZnpeOuBEXh582lczyszeKylXAaFSt34is2JtaPYFXQ6tvQ7mG5Mn8j0OElr4FyYIHYZd6xOqcafvjiEyjolNq+aCgcbw+POUwsqcLOoEsNXN7yOwOC/bcGr84bggRGNX7rWydYKlbXKdte4/1Im6lQa3B0T3O51NSW/vAZfHrqC7/+sO0zw1LU8TOrrDy8nW3g52SK8hzNOp+Sjp7ez/jEVtUo4N9KTYXZsnMSuoNMx9DuYtVx3rL7WtIdEyQyNQDwkWtNs7ak1Wjy94RhS88vx7YrJjU5ce3xCJO4dbNitvfZgItIKK/DmguEI8mi6lRfs6YiSKgVqFGrYWjX/tbk7/iZkUgn6+Lo2uG/X+XQEuNmjX6B7K59Z2/375/OYOzQUIZ5/BFjtLdf7rlWqIcDwCyq7pArBzTx/s8GWPrWVRCKBnaUElQqmPpkOe0kt3IvixS7jjv1j61kcupKNF2bFoKpOhQvphfr7+vi5wlIuQ6iXE0K9DFty28+lIr+8BkNbOElOTJAHtIKAK9klGBTyx/Huj/7vIIb29EZED2cAwMHELGw5nYLFo3vBw9HGYB0lVXU4dS0Xj/9+PP3tskuqMOlfO/HkpL4GJxTae/EmAOB6fjk0WkH/e19/N/i62husIy6tAGeu52PvC39MVBzW0xsf7r2IoT29kFVShfTCygbP93JmCR4Z17vZ18AsWDu0vIyJY+h3AluGPpmYEZIESDTt774Wy4mruQCAt3463+C+gy/Pht9t4dhWwZ6OCO/hjGPJOQahH+zpiK1nryOvrAZaQUCQhyNeumcQFo2OaLCOPRduQq0VmuzaFwBotAJuv9r5n78+1ujvby4YjjlD/nheWq2AN7adw7Mz+hscpnj/iDCkFpTj1R/PwMZSjtfmD0H47zspgO5MgyXVdZgS3THnIDBpZtC9LxFu/4RRux2/UYfUYh6rT6bBBkrMK/0CEjVnbzfnm2PJ2HA0GfteuseoLn3cXm//FIfErBJseHKS2KWIb/wKwLb1528wRZx11gk4mY9MyXDZJQZ+K8wf2hN1Kg1+S8wSu5QOU1WnxI9nbmBlI9cnMEtmMKbPdOoEPGyPTIWlRAXfklixyzAJ1pZyvPXACKg0pntI4+1ySmvw56n9MDjUS+xSxGdpB0i7/3nUOabfCRj6ZCqGy65AoqwWuwyTMTKih9gldKjwHs4G4/tmzab7t/IBtvQ7hS3PykcmQAYN/EvOiV0GkXHo5mP59Rj6ncCOY/pkAobKkyFVVIhdBpFxcGj8YkrdDdOpE1jJJZDzlSUjJhW0CCk7K3YZRMbDnqFP7eBiy5eWjNcgixRIaxueG57IbLGlT+3hytAnYyUICKtgK59ITyoD7BqeNrk7YjJ1Ejc7vrRknGIsUiGrLmx5QSJzYe8OSMzjO9s8nqUI3Oy6//GeZJp6VZ4RuwQi42Im4/kAQ7/TONlIIOOrS0YmSp4BeVWe2GUQGRczGc8HGPqdRiqRwMWGLy8Zl6jq02KXQGR8HDxbXqabYCp1Io7rkzHpJc+GZUX3OW88UYdhS586gitDn4xIdC1n7BM1ILcEbJzFrqLLMJU6kRsP2yMjESLPh3VZmthlEBkfJx+gG10quSVMpU7kbCOF1Hw+S2TEYhRs5RM1ytlX7Aq6FEO/E0mlEp6Zj0TnLyuGTUmK2GUQGScXP7Er6FJMpE7GyXwktsGqc2CHE1ET2NKnjsRxfRKTt7QMdiVJYpdBZJxsXQArO7Gr6FJMpE7GGfwkpqGaWEgEQewyiIyTa4DYFXQ5JlIn42Q+Eou7tBKOxZfFLoPIeDH0qaPJpBJ4OvBlpq43XBsHiaAVuwwi4+XqL3YFXY5p1AV8neRil0BmxllaA+fiBLHLIDJeVnaAnZvYVXQ5hn4X8HXmFfeoaw0XzkOiVYtdBpHxcg0UuwJRMPS7gLONFHaWHNinrmEvqYV78QWxyyAybh6hYlcgCoZ+F2Frn7rKCMlFSDRKscsgMm4ePcWuQBQM/S7i68TQp85nAyW8is+LXQaRcXP0Bqztxa5CFAz9LuLtKOOhe9TphssuQaKuE7sMIuPmaZ6tfICh32UsZBJ48dA96kSWEhV8S2LFLoPI+Jlp1z7A0O9Svs48dI86z3DZFUiU1WKXQWTcLGzM7iI7t2LodyGO61NnkUMD/xJePpeoRR4hgMR8x1oZ+l3IyUYKeyvz/bBR5xkiT4ZUUSl2GUTGz4y79gGGfpdja586mlTQIqSMrXyilknM9vj8egz9Lsbj9amjDbJIgbS2VOwyiIyfs6/ZXUr3dgz9LubtKIOMPfzUUQQBYRVs5RO1ik+k2BWIjqHfxeRSCbwd2dqnjhFjkQpZdaHYZRAZP4kE6NFH7CpEx9AXQbAbD92jjtGr8ozYJRCZBrcgsz0L360Y+iIIcJXBgo19aqe+8gzIq/LELoPINPhEiV2BUWDoi0AulSDIla19ap/I6tNil0BkGqQywLuX2FUYBYa+SHp6MPTpzvWSZ8OyIkvsMohMg0dPwMJa7CqMAkNfJB72MjjZcBo/3ZnoWs7YJ2o1X3bt12Poi6inu4XYJZAJCpHnw7osTewyiEyD3BLwDBe7CqPB0BdRiLvcnE8BTXcoRsFWPlGreUUAMg6n1mPoi8jGQsLT8lKb+MuKYFOSInYZRKbDr5/YFRgVhr7IOKGP2mKw6hzYOUTUSnZuuuPzSY+hLzI/ZxmsLfg1Ti3zlpbBrjhZ7DKITEfgQLO+jG5jGPoik0okCHFjFz+1bKjmHCQQxC6DyDTILNi13wiGvhHgLH5qibu0Eo7FiWKXQWQ6fKJ4bH4jGPpGwNlWCnc7vhXUtOHaOEgErdhlEJmOwIFiV2CUmDRGghP6qCnO0ho4FyeIXQaR6XD2BZx6iF2FUWLoG4kgNzks+G5QI4YL5yHRqsUug8h0BA4SuwKjxZgxEpYyCcI82donQ/aSWrgXXxC7DCLTYWkL9OgjdhVGi6FvRPp4W0DKo0voFiMkFyHRKMUug8h0+PfnGfiawdA3IraWUgS78cNKOjYSBbyKz4tdBpHpkMqAoCFiV2HUGPpGJqoHD98jnRHSy5Co68Qug8h0+PUHrB3ErsKoMfSNjJONFP7OPFmPubOUqOBTEit2GUSmQyIFQkeIXYXRY+gbIbb2abjsCiTKarHLIDIdvlGArbPYVRg9hr4R8nCQwcuBb425kkMD/xJePpeo9SRA6CixizAJTBYjFe1jKXYJJJKh8mRIFZVil0FkOnr0BuzdxK7CJDD0jVQPJxk82do3O1JBi+AytvKJ2qTnSLErMBlMFSPWj619szPI4hqktaVil0FkOjzDAEdvsaswGQx9I9bDSQZPe75FZkMQEFbBVj5Rm/QcLXYFJoWJYuSifdnaNxcxFqmQVReJXQaR6fDoCbj4il2FSWHoGzkftvbNRq/KM2KXQGQ6JBKg90SxqzA5TBMT0N+Prf3urq/8JuRVeWKXQWQ6/PoDDh5iV2FyGPomwNtRhgAXnqWvO4usZiufqNVkFkD4OLGrMEkMfRMxKMASMr5b3VIveTYsK7LELoPIdIQMB6ztxa7CJDFGTIS9lZSn5+2m+tWylU/Ualb2utCnO8LQNyFRPSxgbyURuwzqQKHyfFiVpYtdBpHpCB8HyDnP6U4x9E2ITCrBoAB+2LuTmDoel0/UavYegH8/saswaQx9ExPgIoePEyf1dQf+siJYl6aIXQaR6eh9l+4SunTH+OqZoMEBlpCyl9/kDVadA99Golby6Kk75S61C0PfBDnZSNHbi5P6TFkPWSnsipPFLoPINMgsgKhpYlfRLTD0TVS0rwVsLNhONFVD1bGQQBC7DCLTEDYWsHUWu4pugaFvoixkEgz056Q+U+QurYRDcaLYZRCZBkcvIHio2FV0Gwx9ExbiLud5+U3QcG0cJIJW7DKITIAE6DsTkPJ7rqPwlTRxQwItORnMhDhLa+BcnCB2GUSmIWgw4OwjdhXdCkPfxLnayRDuKRe7DGqlEcJ5SLRqscsgMn7WjkDEOLGr6HYY+t1AjL8lz9RnAhyktXArviB2GUSmIXIKILcSu4puh6HfDVjIJBgVYsVufiM3Ahch0SjFLoPI+HlFAN69xK6iW2LodxOeDjL09eGx+8bKRqKAZ/F5scsgMn6WtkDf6WJX0W0x9LuRaF8LeHA2v1EaIb0MibpO7DKIjF/03bor6VGnYEJ0I1KJrpvfgu+qUbGSqOBTfE7sMoiMX8BAwCtc7Cq6NcZDN+NgLcWQQJ60x5gMlyZCoqoRuwwi42bnBvSZJHYV3R5DvxsK9bBAkCuvxGcM5NDAr5StfKJmSWXAgHt159inTsXQ76aGBVnB1pLz+cU2VJ4EqaJS7DKIjFv4OMCph9hVmAWGfjdlKedhfGKTCloEl50Vuwwi4+YWBIQMF7sKs8HQ78a8HWXo04PdZWIZbHEN0toyscsgMl4W1kC/ewAJmyddhaHfzQ3wtYCbLd/mLicI6FnBVj5Rs/rOBGwcxa7CrDANujmpVILRoVaQ853uUjEWNyCrLhK7DCLjFTwM6NFb7CrMDqPADDjaSDGYh/F1qV6VbOUTNck1EOh9l9hVmCWGvpkI87BAby9eja8rRMtvQl6VJ3YZRMbJ2gGImQtIGD9i4KtuRgYFWMLXicfvd7Y+1WfELoHIOEllQMw8wMpO7ErMFkPfjEgkEozpaQVnG86U7Sy95FmwrMgSuwwi4xQ5DXDxE7sKs8bQNzMWMgkmhFvD2oLB3xn61XIsn6hRgYOAgAFiV2H2GPpmyN5KivFhVpAx9ztUqDwfVmXpYpdBZHxcA4E+U8SugsDQN1se9jKMCLESu4xuJaaOY/lEDdi6AAPnAVLGjTHgu2DGgt3k6OfLM/Z1hABZMaxLr4tdBpFxsbQFhjyo+5eMAkPfzPXztUSwG2f0t9cg1Vle54DoVjILYPADgJ2r2JXQLRj6hBHBVvCw50fhTvWQlcKuOFnsMoiMh0SqOzTP2UfsSug2/KYnyKQSjA+zhr0V26p3Yqg6FhIIYpdBZDz6zgQ8e4pdBTWCoU8AAGsLCSaEWcOCPf1t4iGthENxothlEBmP8HGAfz+xq6AmMPRJz9lWirE9rSFlg7/VhmnjIBG0YpdBZBwCBgJho8WugprB0CcDPk4yjA+zYvC3gou0Gs7FCWKXQWQcvCKAqGliV0EtYOhTA77OcgZ/KwwX4iHRqsUug0h8bkHAgDmAhF8axo6hT41i8DfPQVoLt+J4scsgEp9bEDB4ASDjVTxNAUOfmsTgb9oIXIBEoxK7DCJx6QOfJ/kyFQx9ahaDvyEbiQKebOWTuWPgmySGPrWIwW9ohPQSJOo6scsgEg8D32Qx9KlVGPw6VhIVfIpjxS6DSDwMfJPG0KdWY/ADw6WJkKhqxC6DSBwMfJPH0Kc2Mefgl0MDv9JzYpdBJA73EAZ+N8DQpzYz1+AfKk+CVFEpdhlEXc8nioHfTTD06Y74OssxIdx8ztUvFbQILjsrdhlEXS9kONB/NiA1kz/2bo6hT3fMx0mGab1tzOLqfIMtrkFaWyZ2GURdq89koPdEnmmvG2HoU7s420oxvY8NPOy78UdJENCznK18MiNSme60usFDxa6EOlg3/qamrmJtIcHkXtYIduue3X8xFjcgqykSuwyiriG3AoY8CPhEil0JdQKGPnUImVSC0aHW6O/b/Sb69Ko8I3YJRF3DygEYvkR3aB51S7xCAnWoaF9LOFhLcTJVAY0gdjXtFy2/CXlVvthlEHU+B0/dDH0bJ7EroU7E0KcOF+wmh72VBIdSFKhTmXby96lmK5/MQI8+QL9ZPCTPDLB7nzqFh70M0/tYw9nGdGf99pJnwbIiS+wyiDqPRAL0uguImcvANxMMfeo09lZSTOtjA18n05zg16+GM/apG7Ow0U3YCx0hdiXUhRj61KksZBKMD7dCby/TGkkKlefDqjxd7DKIOoejFzDqMd2pdcmsmNY3MZkkqUSCwYFWcLaV4txNJdRasStqWUwdx/Kpm/KJAqJnsjvfTDH0qcuEeVjAy16GY6kKFFcbb/IHyotgXXhd7DKIOpZEqhu/DxkmdiUkIokgCKY9vZpMjlYr4EK2Com5Khjjh2+uZg/sSpLELoOo49i66M6f7+IndiUkMrb0qctJpRLE+FvCx0mG46kK1CiNJ/p9ZKWwLUwWuwyijuMXDURO1Z1pj8weW/okKqVawKl0BW6WaMQuBQAwW9gPx6JLYpdB1H4W1kDUdJ5OlwywpU+ispRLMLanNW4UqnD2phIqEYf6PaSVcChIFK8Aoo7iGgj0v4dn16MGGPpkFEI9LODpoOvuL6wSJ/mHaWMhEYx3giFRiyRSIGIcEDKCl8OlRrF7n4yKVhCQkK3CpZyuneTnIq3GzMIvINEaxzADUZvZuQED7gWceohdCRkxtvTJqEglEvT3+2OSX5Wia6J/uHCegU+mSSIFQoYDYWMAGb/SqXls6ZPRUmkEnM9U4lqBulNb/Q7SWswu+gISjaoTt0LUCVz8gL4zdFfII2oFhj4ZvZIaDc6mK1HQSWP9U6Sn4JV/qlPWTdQp5NZArwlAQAzH7qlNGPpkMlKL1IjLVKK2Ay/XayNRYF7Jl5Co6zpsnUSdqkcfoM8UwNpe7ErIBHEAiExGiLsc/i4yJOSokJSngrYDsn+E9BIDn0yDjTMQNRXwDBO7EjJhbOmTSaqo1eJshhI55Xc++c5KosJ9pV9CoqrpwMqIOphUDgQP+X2iHi+SQ+3D0CeTllGqRmyG8o5m+Y+TXUBA3m+dUBVRB/HtC0SM50l2qMOwe59MWoCLHL5OMiTmqnApVwVNK+f6yaGGX+m5zi2O6E65BQG9J/KYe+pwbOlTt1Gl0CI2Q4mM0pa7/EfJLyMkd18XVEXUBvbuusvfeoWLXQl1Uwx96nbyKjS4kNX0IX5SaPFg1XpIa8u6tjCipljZAWFjgYABupPtEHUShj51W7nlGlzMbhj+Q+VXEZH7i0hVEd1CbgUED9WdUU9uKXY1ZAY4pk/dVg8nGXo42SC34vfwr9RCIgjoWX5G7NLI3FlY68I+aIju/0RdhKFP3V4PRxl6OOrCvzbnBmRFRWKXRObKwuaWsLcSuxoyQ+zeJ/NTkgncOAEUpIhdCZkLa0cgZJjutLk81p5ExNAn81VZANw4CeQkAkLnnNefzJy9u+7a9r5RgFQmdjVEDH0i1FYAGXFA5gVAUSV2NWTqJBLdqXIDBwHuIbwgDhkVhj5RPa0GyEsGbsYCJRliV0OmxtIO8O8PBA7kGfTIaDH0iRpTWQDcjAOyEwC1UuxqyJi5+Ota9T16swufjB5Dn6g5aqUu+G/G6XYEiABAZqk7L37gQMDRS+xqiFqNoU/UWuW5ukl/OYlAXYXY1VBXk0gBj1DAJ0p3mlyeTIdMEEOfqK0EQTfmn5MI5F4BVLViV0SdRgK4Buhm33v3BixtxC6IqF0Y+kTtodUARalA9mUg/xqg4fh/t+DUQ9ei94kErB3EroaowzD0iTqKRqU74U/+NaDwBqCsEbsiai2JBHD2Azx76ibk2bmJXRFRp2DoE3UGQQDKc4CC60DhdaAsFwD/1IyKlZ1ujN6jp+5fngOfzABDn6grKKp1rf/C60BhKucBiEICOPvoWvMePXVd+DxxDpkZhj5RVxO0QFmObjJgaSZQmsWhgM4gkQKO3oCLH+DqD7gFAZa2YldFJCqGPpExqC4GSrL+2AmoKhS7ItNjYaMLeBc/3QlznH14cRui2zD0iYyRqk4X/qVZQGU+UFkI1JSKXZXxkFsDDh66HycfXUvezo3d9UQtYOgTmQqNShf+VYW6fysLdWcJ7M4nCpJZAg7ugL0H4OD5R9BbO4pdGZFJYugTmTqVQrcjUFOqu2JgXQVQW677t67SuOcLSOW6ALdxvO1fJ91laW2c2Hon6kAMfaLuTqP6fUfg9x0CRZVuR0F9y8/tv6sVuhMPtZpEd1paudUfPxZWDX+3sDEMdyu7TnvaRNQQQ5+IGqfV6I40EATdD37/PyS61rdE8vv/pbqry7FFTmT0GPpERERmQip2AURERNQ1GPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGaCoU9ERGQmjD70JRIJduzYIXYZREREJq/VoS+RSJr9efXVV5t8bHp6OiQSCS5cuNABJTeUl5eHlStXIiQkBFZWVvD398fdd9+NgwcPdsr2mtMROyknTpyAXC5H//79DW5/8803MXjwYDg4OMDT0xOzZ8/G1atX27UtIiIyH/LWLpibm6v//+bNm7F69WqDwLG3t+/YylopPT0dI0eOhLOzM/7zn/+gb9++UKlU+PXXX/HUU08hOTlZlLruVFlZGRYvXoy77roL+fn5BvcdOXIETz31FAYPHgy1Wo2XXnoJkydPxpUrV2BnZydSxUREZCokgiAIbX3Q+vXr8fTTT6OsrAwAoNVq8cYbb2Dt2rUoLCxE79698dZbb2Hq1Km6jUgkBo8fO3YsDh8+jHPnzuGll15CfHw8VCoV+vfvj/fffx8xMTF/FCiRYPv27Zg9e3ajtUyfPh0JCQm4evVqg+ArKyuDs7MzACAjIwMrV67EwYMHIZVKMXXqVHz88cfw8vICADz88MMoKyszaKU//fTTuHDhAg4fPgwAGDduHKKjo2FtbY0vvvgClpaWWL58ub6XIygoCDdv3tQ/PjAwEOnp6W14ZYEFCxYgLCwMMpkMO3bsaLZ3pLCwEJ6enjhy5AjGjBnTpu1Q2ykUCrz77ruIjIzEPffc0+D+TZs2YcyYMbh+/TrOnTsHBwcHAIBMJsPUqVPh7+9vsHxsbCxiY2MBAOXl5bCwsICtrS0AYMqUKQgODm51bYcPH8aoUaMglze/H5+dnY3vvvsOzzzzDKTSPzr6kpKScPjwYTzxxBOt3mZOTg5OnjyJefPm6Z/P6dOnIZfL8eCDD2Lr1q145JFHWr2+293+nA4dOgQ3NzdER0e3a531741Go4GXlxdmzJgBGxubO14nAPz73//GsmXL9N83bZWcnAx7e3v4+fnpbzty5AgSExMhlUqhVqsRHh6OyZMnN7ue9PR07N27F8uXL7+jOurq6hAbG4tRo0bpb/vpp5/Qt2/fNn0eb7djxw6kpqbC1tYWgiDA2toad999N9zd3Vt87O2fg8ZeqzuRnp6Ob7/9Fm5ubhAEAVZWVpgxY4Y+E9oiNjYWCoUCI0eORF5eHoqKihAVFaW/f82aNXjkkUdgZWXVrpo7QoeM6X/44Yd499138c477yAhIQFTpkzBrFmzkJKSAgA4e/YsAODAgQPIzc3Ftm3bAACVlZVYsmQJjh8/jtOnTyMsLAzTp09HZWVlq7ZbUlKCvXv34qmnnmq0pVv/B6jVanHPPfegpKQER44cwf79+5Gamor777+/zc/166+/hp2dHc6cOYN///vfeO2117B//34AwLlz5wAA69atQ25urv73+uGN+p2Hpqxbtw6pqal45ZVXWlVLeXk5AMDV1bXNz4PaLjExET4+PkhOToZSqTS4T6lUoqioCL6+vgCAvn37Yvny5Vi+fDmGDx+OvXv3NljfoEGD9MtERERgxIgR+t/b+gV75MgRqNXqFpfz9fWFnZ2d/m+zXnx8PAYMGNDq7Wm1Wvj4+OgDHwDOnDmDe+65B8uXL4ejo2O7Ah9o+JzGjx/frsCvV//ePPHEE9BoNDh69GiDZbRabbu30xbJycnIysrS/37lyhVcv34djz/+OJYvX44nn3yyQ557S+rq6nD8+HGD22bNmtWuwK9X//l+4oknEBYWhkOHDrXqcbd/Dm5/rdrDzc1NX1Pv3r2xc+fOO1rPoEGDMHLkSAC64ebLly8b3L98+XKjCHygDd37zXnnnXfw/PPPY8GCBQCAt99+G4cOHcIHH3yATz75BB4eHgB0L7C3t7f+cRMmTDBYz9q1a+Hs7IwjR45g5syZLW73+vXrEAQBvXr1ana5gwcP4tKlS0hLS9O3tjZs2IDIyEicO3cOgwcPbvVzjY6O1odyWFgY/vvf/+LgwYOYNGmS/nk6OzsbPE8LCwtEREToW3GNSUlJwQsvvIBjx4612FoDdF9KTz/9NEaOHGmwR0mdJz4+HmPGjEFcXBwuX75s0COVkpKC0NDQBr1agO6L1NrautXbUSgU+PXXX5Gfnw+1Wg0/Pz9Mnz4dMpkMR48exaVLlyCTyQDoeobqv6TXrVsHiUSCRYsWNTvcM2DAAFy4cAEREREAdDvf6enpmD17NqqqqrBnzx6UlZVBrVYjIiJC/3f6wQcfIDIyEunp6XBzc0NMTIy+VbllyxaUlJRg586d8PT0xOTJk7FmzRq88MILAIDMzEzs378fSqUSgiBg/Pjx6NWrF/bt24ebN29Co9HAyspK3/rbtWtXg+e0f/9+eHt7Y9iwYVAqldizZw+ys7MBAH369MG4ceMA6HoifXx8kJ2djcrKSoSEhDT6fSKVShESEoKUlBSUlZVhzZo1GDhwIFJTU9GvXz+Eh4dj165dqK6uhkQiwbhx4/TfNVevXsWBAwcglUrRs2dPg/V+8MEHWLBggf47YO3atZg8eTKCgoJQUVGBvXv3ori4GAAQEREBf39/XL16Fampqbhw4QKGDBkCpVIJGxsb/XeBVCo1+E65fv06jh49CrVaDYlEgokTJzYazM0tFx8fjzNnzujXf99992HXrl1QKpVYs2YNpFIpli1bhvXr12PYsGHo1asXqqursWvXLpSUlEAQBAwZMgSDBg3SP+9+/fohNTUVVVVVGDBgQKM9kIIgQKFQ6P8m6l/7+s+KUqnEm2++iVdeeaXB52D48OENXquYmBicOHECFy9ehEQigZeXF6ZPnw5ra2scPnwYRUVFUKlUKCkpgb29Pe67775Ge3Z69uyp3xG5fv06Dh48CK1WCxsbG8yYMQMeHh4oLi7Gzp079Z/j+r+Pw4cPo66uDqNHj8ahQ4egUCiwZs0a+Pn5YebMmfjHP/6B559/HtbW1sjJycGePXugVCohl8sxZcoUBAQE6F+HoUOHIiUlBXV1dZg2bRrCwsIa1Noe7Q79iooK5OTk6Pdy6o0cORIXL15s9rH5+fl4+eWXcfjwYRQUFECj0aCmpgYZGRmt2nZrRyaSkpLg7+9v0L3ap08fODs7Iykpqc2hf6sePXqgoKCg2cf4+vo2O7dAo9HgwQcfxD/+8Q+Eh4e3qo6nnnoKly9fbrBXTp2jsLAQ5eXlCA0NhVarxfHjxw1CPzk52WDi5aVLl5Ceng6FQgGFQoGFCxe2elv79u1DYGAgZs2aBUEQ8PPPP+P06dOIiYnByZMn8eyzz8LCwgIqlQoSiQQzZ85EXFwcHnnkEf0X6dWrV3H16lXMmjWrwfqjo6Px22+/obq6GnZ2drh48SLCw8Nha2uLjRs3YtSoUQgKCoJWq8WmTZuQmJiIyMhIAEBtbS0ee+wxSCQSg6Gr++67Dx988AHmzZsHb29v/dBf/WM2b96M+fPnIzAwEIIgoK6uDoDue6K+y/ry5cvYu3cvFi5c2OhzutWRI0eg0WjwxBNPQKVSYd26dXB3d9fvAJeWlmLJkiXQaDT49NNPkZmZ2WB4RaVSITk5Wd9NrFAo4OnpiUmTJgEAvvjiC/Tv3x+DBg1CcXExvvzyS3h7e8PCwgI7d+7EI488Ag8PD8TFxaG2trZV7+327dsREhKC++67DwD070FERIR+hwYAqqqqEBcXh48++ggBAQEICgpCVFQULCwsUFpaiiNHjmDhwoWwsrJCSUkJ1q1bhz//+c8G22puuaysLBw9ehRLly6Fg4MDVCoVAGDmzJlYs2ZNk8MDe/bsgZubG+6//35UV1dj7dq18Pb21r+GdXV1ePTRR1FTU4OPPvoI/fv3h6OjIwDg5MmTuHDhAmpqaiCRSFrVE9TY5yAtLc3gtUpJScGFCxfw6KOPwtraGj///DMOHDig39HLysrCsmXLYGtrix9//BGxsbEYPXp0g21dvnwZPj4+qK6uxrZt27BkyRJ4eXkhISEBW7ZswZNPPomzZ88iLCxM//jb33c7OzuMHz8eycnJ+kbwrTQaDTZv3oy7774bPXv2REZGBrZs2YJVq1YB0H0Gvby8MH78eFy/fh179+41vtBvjyVLlqC4uBgffvghAgMDYWVlheHDhzfoOm1KWFgYJBJJh0zWk0qlDXYi6v8QbmVhYWHwu0QiaXdXYGVlJWJjYxEfH48VK1YA0LXkBUGAXC7Hvn37DHpFVqxYgV27duHo0aPtHtei1jl//jz69esHqVSKsLAw7Nq1C4WFhfDw8IBGo0FmZqbBvJO+ffvq57SkpqZi8+bNWLFiRYPPT2Pquy9PnToFAPpWmpWVFdzc3PTBER4erv9CvV1ERIS+JX87W1tbhIWFISEhAcOHD8eFCxcwbdo0KJVKfSutnlKp1LdKAaB///6N9mY0JzMzE25ubggMDASg+5upb2mlpqbi7NmzUCgUEASh1eGZlpaGyZMnQyKRwNLSEtHR0UhNTdWHfmRkJKRSqb6FXFpaqg/9S5cu6efeBAYGYtSoUaiuroZUKtXv1CsUCuTm5mLp0qUAdL2UAQEByMjIgJWVFby8vPQ9ewMGDMCePXtarFmpVCIjI8NgB7CpHhl7e3s88cQTyM7ORkZGBs6dO4ezZ8/isccew/Xr1/UBXk8ikeiH++o1t9y1a9cQHR2tn3fSms8loHu/li1bpq+9V69eSE1N1X8P9e3bF4DuM+bi4oKysjL9Z3TEiBH6oI6Pj8eWLVv062qP1NRUREZG6ncKBg0ahB9++EF/f8+ePfW9rH5+fgaNtOLiYqxZswaA7j2ePXs2srKy4OnpqR/bj46Oxu7du1FZWYnAwEB9j1VQUBBCQkLaVGtRUREkEom+dyggIAD29vbIy8uDo6Mj5HI5evfura+1pKTkDl+VprU79B0dHeHj44MTJ05g7Nix+ttPnDiBIUOGAAAsLS0B6PZybnXixAl8+umnmD59OgDdl0NRUVGrt+3q6oopU6bgk08+wapVq5qcyNe7d29kZmYa7O1fuXIFZWVl6NOnDwDAw8OjwTjMhQsXWv3HUM/CwqLB82yJo6MjLl26ZHDbp59+it9++w0//vijvjtOEASsXLkS27dvx+HDhztknI1aptFokJCQAJlMpn+fVCoV4uPjMXnyZKSlpSEgIEDf5X67kJAQqNVqFBQU6Mf8W3LffffBzc2twe2PPvooMjMzkZ6eji+++AJz587Vh2lbDBgwAPv374evry/UajVCQkL0O7mPPfZYk0NM9X/LHaG8vBy7d+/G448/DldXV+Tn5xsEVFvcviNya/2375jfukN2KwsLizbv0DS2balUarC91sy1aIxUKtX3UA4dOhTvvPMOCgoKIAgCQkJCMHfu3AaPuXU+VHPLdZS2vO63ioqKwk8//aTf2bq1wXWnr1drarr9vakf07/V7UdN3apPnz7w9/fX76yePn0aDz30ULvqvZVMJtPX31hDtCN0yES+//u//8Pbb7+NzZs34+rVq3jhhRdw4cIFfXeTp6cnbGxssHfvXuTn5+v3SMPCwvDNN98gKSkJZ86cwUMPPdTmWbSffPIJNBoNhgwZgq1btyIlJQVJSUn46KOPMHz4cADAxIkT0bdvXzz00EM4f/48zp49i8WLF2Ps2LH68agJEyYgNjYWGzZsQEpKCl555ZUGOwGtERQUhIMHDyIvLw+lpaUAdDOme/XqpZ/QeDupVIqoqCiDH09PT1hbWyMqKkq/M/PUU09h48aN2LRpExwcHJCXl4e8vLxWt47ozly9ehUuLi545pln8PTTT+Ppp5/Go48+ioSEBGg0GiQnJzc7ryQvLw9KpbLVM7sjIiJw/Phx/ZdTbW0tSkpKoFAoUF1djcDAQIwdOxYBAQHIy8sDoAvj+i7z1ggNDUVdXR1+/fVXfevd0tISwcHBBkNGlZWVqKioaPV6G+Pv74+SkhJ967q+RV9XVweZTAYHBwcIgtDg76O55xQcHIz4+HgIggClUomEhASEhoa2q85bWVlZoUePHoiPjwegmzSckZGBwMBA+Pn5IT8/X99AiY+PN9jRd3V11c81yM7O1veUWFpaIjAwECdPntQvW11drd/erc81JyfHoJVXVFQErVYLR0dH9OzZE6mpqQbhVL+9WzW3XEREBBISEvQ7CSqVCiqVClZWVlCr1U02XEJCQhAXF6evPSkpqc2tXQD6mfy2trawt7eHIAgoLCwEgAbDwrd/Dm5/rUJCQpCYmAiFQgFAN5O+PZ+F+t6A+h6By5cvw9HREQ4ODiguLoa9vT369euHSZMmNTqh0MrKSl/L7dzd3SEIAm7cuAFA19CtqqoymK/R2Tqke3/VqlUoLy/Hs88+i4KCAvTp0wc//fSTfixCLpfjo48+wmuvvYbVq1dj9OjROHz4ML788kssW7YMMTEx8Pf3x7/+9S/89a9/bdO2Q0JCcP78efzzn//Es88+i9zcXHh4eGDgwIH47LPPAOj2/Hbu3ImVK1dizJgxBofs1ZsyZQr+/ve/47nnnkNdXR2WLl2KxYsXN2iBt+Tdd9/FM888g88//xy+vr5IT0+HSqXC1atXUVNT06Z13a7++dRPWKq3bt06PPzww+1aNzUtPj5e321Zz8PDAw4ODrh69Spu3LjR4FCq+jH9evfee2+rz6UwdepUHDhwAGvWrIFEIoFUKsWkSZMgl8uxZcsWfYvczc0N/fr1AwAMHz4c33zzDSwsLLBo0SJkZWU1OaYP6P4m+vfvj6NHj2L+/Pn62+fMmYNff/0Vn376KSQSCSwsLDBz5swmhxFaw8bGBvfffz/27dsHhUIBiUSC8ePHIyIiApGRkfj0009hY2PTYMfp9ud0q7Fjx2LPnj36v4k+ffro5x10lDlz5mDXrl36o3BmzZoFJycn/f83b94MmUyG0NBQg8bKhAkTsGPHDsTFxcHPz08/DADoPgd79uzBp59+CqlUioiICP1RCTt37sTVq1cxePBgODo6Yvfu3airq9P3QMyZMwd2dnaws7PD3LlzsWvXLqhUKmg0Gnh7ezdo0bu6uja5XP2O48aNGyGRSCCTyTB//nw4OzsjOjoan332GSwtLRt0v0+dOhW//PILPvvsMwiCgNGjR7d6iLF+TB+Afnv1J3ebNm0aNm3aBFtbW333dr3bPwe3v1YxMTEoKCjAl19+aTCR707Z2dlhzpw52L59u34iX32tV65c0U+kFQSh0QmiwcHBOHnyJD777DP4+/sbLCOTyXD//fdjz5492LdvH+RyOe677z5YWlq2Ox9a646O0ycinfoJUQ8++KDYpRARtYihT0REZCaM/oI7RERE1DEY+kRERGaCoU9ERGQmGPpERERmgqFPRERkJhj6REREZoKhT0REZCYY+kRERGZC1KvsERGZuw8++AALFixo9/nX6+rqEBsbi1GjRjV6f3p6Ovbu3WtwgZnbr2XfWrde8749NbXFwYMHkZSUBLlcDqlUigkTJuivVicIAvbs2YPr168DAIYNG6a/4NuZM2cQFxenv5DNyJEjG1wiXaVSYe3atZDJZE1eVrisrAw7duxAXl4enJ2dDZZLS0vDgQMHoFQqIZFIEBYWhokTJzZ6ASelUoktW7YgJycHWq3W4LVv7r6OwtAnIuoG6urqcPz48Q4J2I7SkTUFBARgzJgxsLCwQF5eHtavX49nnnkGlpaWSEhIQFFREVasWAGFQoH//e9/CAoKgqenJzw8PLB06VJYW1ujvLwc//vf/+Dn5wdXV1f9ug8cOAB/f3/k5OQ0uX0rKytMmDABdXV1+O233wzus7a2xrx58+Di4gK1Wo0NGzbg4sWL6N+/f4P1SKVSjBw5EjY2Nli/fn2r7+soDH0iIiN06tQpXL58GRqNBjKZDFOnToW/v7++VZuWlgaZTAapVIqlS5di165dUCqVWLNmDaRSaZuvVV/f6o+JicGNGzcgCAKmTp2qv4pebGwsTp06BUtLywYXR9q2bRuKioqg0Wjg5OSEWbNmwd7evtGaqqqqsGfPHpSVlUGtViMiIgITJkxosb76C7gBgJeXFwRBQE1NDSwtLZGYmIiYmBhIpVLY2NggMjISly9fxoQJEwyuAujk5AR7e3tUVFToQz81NRWVlZUYMmRIs6FvY2ODgIAAgwtp1evRo4f+/3K5HN7e3igrK2t0PXK5HMHBwY3e39x9HYWhT0RkhKKjo/WXB8/KysKOHTuwYsUK5OXlIS0tDU8++SQkEon+EsUzZ87EmjVrmuyebg2FQgF3d3dMnjwZWVlZ+O677/RXUT18+DD+9Kc/wcHBAQcPHjR43JQpU/RXkTx+/DgOHz6MmTNnNlrTjh07MGrUKAQFBUGr1WLTpk1ITExEZGQkDh06BAcHB/0lz5sSHx8PFxcX/VUPy8vL9f8HAGdn50Yve5uamoq6ujr4+PgA0PVE7N+/HwsXLtRf2re9qqqqcOXKFaO9CBdDn4jICOXl5eHYsWOoqamBVCpFcXExVCoVXFxcoNVqsXPnTgQFBSE8PLzRsePWuvWxUqlU3yXt5+cHBwcH5OXlIS8vD2FhYXBwcAAADBo0CMePH9c/7tKlS0hISIBarYZarYatrW2j21IqlUhNTUVVVZXBbcXFxQCA8ePHt1hvamoqjhw5gkWLFrXpeefn52Pnzp2YN28eLC0tAQC7d+/G6NGjYWdn1yGhr1Ao8N1332HkyJH6HQtjw9AnIjIyGo0GmzdvxpIlS+Dr6wuFQoG33noLGo0G1tbWeOKJJ3Dz5k2kpaXh4MGDeOSRRyCVNn8wlp2dHWpraw1uq6mp0bfQ2+LWsM3IyMDZs2fx6KOPws7ODlevXsWhQ4eaffxjjz0Gubzt8ZOeno6dO3figQcegLu7u/52JycnlJeXw9/fH4BuqOLWln9hYSG+++47zJo1CwEBAQa1Z2RkYN++fVCr1aitrcV///tfrFixAlu2bEFJSQkAYPHixU3uyNRTKBTYuHEjIiIi9D00ALBnzx7cvHkTAHDvvffCy8urzc+7IzH0iYiMjFqt1o+PA7oZ6PWqq6shlUoRGhqKkJAQ3Lx5E4WFhQgICNA/TiaTNVinq6srpFIpUlJSEBYWBkEQEBsbazDmrdVqkZCQgP79+yM7OxuVlZXw9vaGjY0Njh8/jqqqKtjb2yM2Nlb/mNraWlhaWsLGxgYajQZxcXH6+6ysrAxqsrS0RHBwMI4fP45x48YBACorKyEIAhwdHZt9TW7evInt27c3eqRDnz59cP78efTp0wcKhQKJiYl44IEHAOgC/9tvv8XMmTMRGhpq8Linn35a///bj2647777mq3nVkqlEt9++y169uyJMWPGGNw3bdq0Vq+nK0gEQRDELoKIyFx98MEHUKvVBi31xx57DJcuXcK5c+dga2uLyMhIHDhwAM8//zxKS0vx888/Q6PRQBAE+Pv7Y/r06ZDJZPjpp5+QkZEBS0vLRify5eXlYd++faipqYEgCPD19cWUKVNgZWVlMJEvNTUVWq222Yl8hw8fxiuvvAKNRoPt27cjJycHtra2CA4ORkpKij48b6+puroav/76K/Ly8iCRSGBhYYGZM2fC29u72TH9jz/+GAqFAvb29vrb6lvOWq1Wf8ieRCLBkCFDMGzYMADAN998g5ycHIOW/8SJE/WH+9Vr7JDGW6lUKnz88cfQaDSoq6uDnZ0doqOjMXHiRBw9ehRHjhyBh4eHfvk+ffo02AGo99lnn6GmpgZVVVVwcHBAcHAw7r333hbv6wgMfSIiuuNj9sm08Ix8REREZoItfSIiIjPBlj4REZGZYOgTERGZCYY+ERGRmWDoExERmQmGPhERkZlg6BMREZkJhj4REZGZYOgTERGZCYY+ERGRmfh/F1ZmpokSb+cAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 800x600 with 1 Axes>"
       ]
@@ -297,7 +298,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -375,7 +376,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -465,13 +466,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Define the variations in which we want to run the tests\n",
-    "var_A = 'A'\n",
-    "var_B = 'B'\n",
+    "var_A = 'Fixed'\n",
+    "var_B = 'Relative'\n",
     "variations = [var_A, var_B]\n",
     "\n",
     "# Define the Z-test metric definitions (with both success_counts and total_counts)\n",
@@ -541,24 +542,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 56,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "                          metric  relative_difference  is_significant_95\n",
-      "0                conversion_rate            -0.065207              False\n",
-      "1                   payment_rate            -0.036940              False\n",
-      "2            waiver_payment_rate             0.000072              False\n",
-      "3           deposit_payment_rate            -0.186265              False\n",
-      "4               CIH_payment_rate             0.106172              False\n",
-      "5       avg_guest_revenue_per_gj            -0.026124              False\n",
-      "6      avg_waiver_revenue_per_gj            -0.012571              False\n",
-      "7     avg_deposit_revenue_per_gj            -0.258547              False\n",
-      "8         avg_CIH_revenue_per_gj             0.086757              False\n",
-      "9  avg_csat_per_gj_with_response             0.030854              False\n"
+      "                          metric  relative_difference   p_value\n",
+      "0                conversion_rate             1.500000  0.082857\n",
+      "1                   payment_rate            -0.062500  0.913554\n",
+      "2            waiver_payment_rate             0.000000  1.000000\n",
+      "3           deposit_payment_rate            -0.250000  0.834319\n",
+      "4               CIH_payment_rate            -1.000000  0.242526\n",
+      "5       avg_guest_revenue_per_gj             0.017580  0.980584\n",
+      "6      avg_waiver_revenue_per_gj             0.148857  0.851687\n",
+      "7     avg_deposit_revenue_per_gj            -0.288560  0.816919\n",
+      "8         avg_CIH_revenue_per_gj            -1.000000  0.331333\n",
+      "9  avg_csat_per_gj_with_response            -0.250000  0.608173\n"
      ]
     }
    ],
@@ -577,7 +578,7 @@
     "combined_results_df = pd.concat([z_test_results_df, t_test_results_df], ignore_index=True)\n",
     "\n",
     "# Print the main aggregated DataFrame\n",
-    "print(combined_results_df[['metric','relative_difference','is_significant_95']])"
+    "print(combined_results_df[['metric','relative_difference','p_value']])"
    ]
   },
   {
@@ -589,7 +590,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
@@ -597,27 +598,27 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "AAVariantTest results (last updated at 2024-12-04)\n",
+      "VerificationProductSelectionButtonPosition results (last updated at 2024-12-11)\n",
       "\n",
-      "Total Guest Journeys affected by this A/B test: 948 - Total Guest Revenue: 7330 GBP.\n",
-      "  Variation A: Guest Journeys 470 (49.6%) - Guest Revenue: 3682 GBP (50.2%).\n",
-      "  Variation B: Guest Journeys 478 (50.4%) - Guest Revenue: 3647 GBP (49.8%).\n",
+      "Total Guest Journeys affected by this A/B test: 42 - Total Guest Revenue: 246 GBP.\n",
+      "  Variation Fixed: Guest Journeys 18 (42.9%) - Guest Revenue: 104 GBP (42.4%).\n",
+      "  Variation Relative: Guest Journeys 24 (57.1%) - Guest Revenue: 141 GBP (57.6%).\n",
       "\n",
-      "Main Metrics - Comparing B vs. A.\n",
+      "Main Metrics - Comparing Relative vs. Fixed.\n",
       "\n",
-      "CONVERSION RATE (not significant): 56.5% vs. 60.4% (-3.9% | -6.5%).\n",
-      "PAYMENT RATE (not significant): 29.9% vs. 31.1% (-1.1% | -3.7%).\n",
-      "AVG GUEST REVENUE PER GJ (not significant): 7.63 vs. 7.84 (-0.2 | -2.6%).\n",
+      "CONVERSION RATE (not significant): 41.7% vs. 16.7% (25.0% | 150.0%).\n",
+      "PAYMENT RATE (not significant): 20.8% vs. 22.2% (-1.4% | -6.2%).\n",
+      "AVG GUEST REVENUE PER GJ (not significant): 5.9 vs. 5.8 (0.1 | 1.8%).\n",
       "\n",
       "Other Metrics\n",
       "\n",
-      "WAIVER PAYMENT RATE (not significant): 24.9% vs. 24.9% (0.0% | 0.0%).\n",
-      "DEPOSIT PAYMENT RATE (not significant): 5.0% vs. 6.2% (-1.1% | -18.6%).\n",
-      "CIH PAYMENT RATE (not significant): 1.9% vs. 1.7% (0.2% | 10.6%).\n",
-      "AVG WAIVER REVENUE PER GJ (not significant): 7.09 vs. 7.18 (-0.09 | -1.3%).\n",
-      "AVG DEPOSIT REVENUE PER GJ (not significant): 0.37 vs. 0.5 (-0.13 | -25.9%).\n",
-      "AVG CIH REVENUE PER GJ (not significant): 0.17 vs. 0.16 (0.01 | 8.7%).\n",
-      "AVG CSAT PER GJ WITH RESPONSE (not significant): 3.97 vs. 3.85 (0.12 | 3.1%).\n"
+      "WAIVER PAYMENT RATE (not significant): 16.7% vs. 16.7% (0.0% | 0.0%).\n",
+      "DEPOSIT PAYMENT RATE (not significant): 4.2% vs. 5.6% (-1.4% | -25.0%).\n",
+      "CIH PAYMENT RATE (not significant): 0.0% vs. 5.6% (-5.6% | -100.0%).\n",
+      "AVG WAIVER REVENUE PER GJ (not significant): 5.64 vs. 4.91 (0.73 | 14.9%).\n",
+      "AVG DEPOSIT REVENUE PER GJ (not significant): 0.26 vs. 0.37 (-0.11 | -28.9%).\n",
+      "AVG CIH REVENUE PER GJ (not significant): 0.0 vs. 0.52 (-0.52 | -100.0%).\n",
+      "AVG CSAT PER GJ WITH RESPONSE (not significant): 3.0 vs. 4.0 (-1.0 | -25.0%).\n"
      ]
     }
    ],