Galaxy_map.ipynb

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   "source": [
    "# Galaxy Map\n",
    "## Mapping planets with data visualisation tools"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6404a316",
   "metadata": {},
   "source": [
    "<img src=\"https://i.postimg.cc/28vMJmGK/galaxy-map.webp\">\n",
    "Picture source: https://starwars.fandom.com/wiki/Map_to_Skywalker"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "### Table of contents:\n",
    "1. Introduction\n",
    "2. Goal\n",
    "3. Galaxy map  \n",
    "   3.1. Regions  \n",
    "   3.2. Affiliation  \n",
    "   3.3. Trade routes  \n",
    "4. Summary"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "## 1. Introduction\n",
    "\n",
    "While I was working on my <a href=\"https://github.com/twerhun/DataAnalysis_Planets/blob/master/Planets_Part1.ipynb\">Planet Data Analysis Project</a> I created a data set containing all kinds of information about planets from Star Wars universe, scraped directly from <a href=\"https://starwars.fandom.com/wiki/Main_Page\">wookieepedia site</a> (Star Wars wiki). For the purpose of that project I only used and analysed the data concerning orbital period, rotation period and planet diameter - the goal was to find the most similar real life exoplanet to the chosen Star Wars planet, so I had to find those data values that are common for both sets.\n",
    "\n",
    "The information I gathered about Star Wars planets set is much more extensive.\n",
    "\n",
    "This is why I decided to look closely at the other aspects that I managed to upload to my data set, especially at the positional data, that happen to be present there as well. On their basis I want to create a **Galaxy Map**, on which I wish to show other key aspects concerning Star Wars planets.\n",
    "\n",
    "This is also a next step in my quest to constantly improve my data analysis and data visualisation skills. Today I extended my toolset by **seaborn dictionary** (for creating scatterplots) and **re dictionary** (here for effective double splitting strings)."
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "## 2. Goal"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "715cec3e",
   "metadata": {},
   "source": [
    "The ultimate goal of this project is to create **Star Wars Galaxy Map** based on **Coordinates** data contained in already existing Star Wars Planets csv dataset. While doing so I will additionaly present other vital information that can be included in our map:\n",
    "\n",
    "- **Regions**  \n",
    "Since Star Wars planets are divided into various regions I want to present this data sorted by amount of planets. After that I will create a dataset that will be basis to the galaxy map scatterplot and then present key regions on plotted map.\n",
    "\n",
    "- **Affiliation**  \n",
    "The king is dead - long live the king. There were many reigns, empires, democracies, crime syndicates and other vicious, wise or forgettable rulers throughout the enitre Star Wars history. Similar to regions - I will show which faction ruled over the largest number of planets. I will then present the planet map of 6 most popular factions.\n",
    "\n",
    "- **Routes**  \n",
    "For planets to develop and rise, there had to be some kind of interplanetary contact, providing knowledge and goods exchange. Throughout the Star Wars history there were many established trade routes, connecting various planets. We will take a closer look at the most popular ones, and try to present them on the map.\n",
    "\n",
    "Those 3 presentations will conclude my project, proving that there are many interesting ways to present data contained in Star Wars dataset, besides static quantitive analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5ad74f4",
   "metadata": {},
   "source": [
    "## 3.1. Regions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.offsetbox import AnchoredText\n",
    "import seaborn as sns\n",
    "import re\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02d62ca2",
   "metadata": {},
   "source": [
    "As mentioned in the Introduction chapter, we will use already scraped and saved data about Star Wars Planets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d5b45b03",
   "metadata": {},
   "outputs": [
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       "<div>\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>affiliation</th>\n",
       "      <th>interest</th>\n",
       "      <th>region</th>\n",
       "      <th>system</th>\n",
       "      <th>routes</th>\n",
       "      <th>class</th>\n",
       "      <th>atmosphere</th>\n",
       "      <th>terrain</th>\n",
       "      <th>population</th>\n",
       "      <th>sector</th>\n",
       "      <th>...</th>\n",
       "      <th>species</th>\n",
       "      <th>coord</th>\n",
       "      <th>moons</th>\n",
       "      <th>language</th>\n",
       "      <th>flora</th>\n",
       "      <th>lengthday</th>\n",
       "      <th>lengthyear</th>\n",
       "      <th>imports</th>\n",
       "      <th>distance</th>\n",
       "      <th>position</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5251977</th>\n",
       "      <td>Alliance to Restore the Republic</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aargonar</th>\n",
       "      <td>Confederacy of Independent Systems</td>\n",
       "      <td>Aargonar Separatist base</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ab Dalis</th>\n",
       "      <td>Alliance to Restore the Republic</td>\n",
       "      <td>Keftia district, Rendezvous Point Lambda-Four</td>\n",
       "      <td>Outer Rim Territories</td>\n",
       "      <td>Ab Dalis system</td>\n",
       "      <td>A hyperlane</td>\n",
       "      <td>Terrestrial</td>\n",
       "      <td>Breathable</td>\n",
       "      <td>Swamps</td>\n",
       "      <td>Over twenty million</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
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       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abafar</th>\n",
       "      <td>Unallied (Separatist presence)</td>\n",
       "      <td>Rhydonium mining installation, The Void</td>\n",
       "      <td>Outer Rim Territories</td>\n",
       "      <td>Abafar system</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Breathable</td>\n",
       "      <td>Desert</td>\n",
       "      <td></td>\n",
       "      <td>Sprizen sector</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abednedo (planet)</th>\n",
       "      <td>Galactic Empire, New Republic</td>\n",
       "      <td>Oddy's home</td>\n",
       "      <td>Colonies</td>\n",
       "      <td></td>\n",
       "      <td>Corellian Run</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td>Abednedo</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
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       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
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      "text/plain": [
       "                                          affiliation  \\\n",
       "5251977              Alliance to Restore the Republic   \n",
       "Aargonar           Confederacy of Independent Systems   \n",
       "Ab Dalis             Alliance to Restore the Republic   \n",
       "Abafar                 Unallied (Separatist presence)   \n",
       "Abednedo (planet)       Galactic Empire, New Republic   \n",
       "\n",
       "                                                        interest  \\\n",
       "5251977                                                            \n",
       "Aargonar                                Aargonar Separatist base   \n",
       "Ab Dalis           Keftia district, Rendezvous Point Lambda-Four   \n",
       "Abafar                   Rhydonium mining installation, The Void   \n",
       "Abednedo (planet)                                    Oddy's home   \n",
       "\n",
       "                                  region           system         routes  \\\n",
       "5251977                                                                    \n",
       "Aargonar                                                                   \n",
       "Ab Dalis           Outer Rim Territories  Ab Dalis system    A hyperlane   \n",
       "Abafar             Outer Rim Territories    Abafar system                  \n",
       "Abednedo (planet)               Colonies                   Corellian Run   \n",
       "\n",
       "                         class  atmosphere terrain           population  \\\n",
       "5251977                                                                   \n",
       "Aargonar                                                                  \n",
       "Ab Dalis           Terrestrial  Breathable  Swamps  Over twenty million   \n",
       "Abafar                          Breathable  Desert                        \n",
       "Abednedo (planet)                                                         \n",
       "\n",
       "                           sector  ...   species coord moons language flora  \\\n",
       "5251977                            ...                                        \n",
       "Aargonar                           ...                                        \n",
       "Ab Dalis                           ...                                        \n",
       "Abafar             Sprizen sector  ...                                        \n",
       "Abednedo (planet)                  ...  Abednedo                              \n",
       "\n",
       "                  lengthday lengthyear imports distance position  \n",
       "5251977                                                           \n",
       "Aargonar                                                          \n",
       "Ab Dalis                                                          \n",
       "Abafar                                                            \n",
       "Abednedo (planet)                                                 \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "swPlanets = pd.read_csv('./StarWarsPlanets.csv', index_col=0).dropna(axis=0, how='all').fillna('')\n",
    "swPlanets.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1080032",
   "metadata": {},
   "source": [
    "The important thing that we should take into consideration before we jump any further in our analysis is that data presented in this table is implemented as **strings**. For multiple elements in one category (for example affiliation), every faction is written down in one single string, **divided by coma or semicolon**.\n",
    "\n",
    "During our analysis we will need to extract single elements with the exact precision, so I don't really want to use methods looking for part of the string. And, with all my Star Wars lore knowledge, even I can't list every single faction that existed in Star Wars universe. The most precise thing to do in this case is to **split** all those strings into single elements and save them as **lists of elements**. Based on that list I will be able to make lists of unique values and to quantify them.\n",
    "\n",
    "This is why we will start with creating function that will **convert strings to list of elements** (splitting them by coma and semicolon and excluding data contained in the brackets - they contain either more detailed or irrelevant information from the perspective of this analysis - we won't be needing either of those information).\n",
    "\n",
    "After funcion is complete, we will use it on entire data stored in swPlanets dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9fd2a496",
   "metadata": {},
   "outputs": [],
   "source": [
    "#splitting strings (if present) by desired characters and writing them down as lists of elements\n",
    "def list_elements(data):\n",
    "    return [i.split('(')[0].strip() for i in re.split(',|;', data)\n",
    "            if i.split('(')[0].strip()!=''] if data!='' else data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5f9d420c",
   "metadata": {},
   "outputs": [],
   "source": [
    "swPlanets = swPlanets.applymap(list_elements)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "758eeda4",
   "metadata": {},
   "source": [
    "The next important step to make is to create a function, that will **extract data** stored in desired dataframe (unwrap our created lists), returning **list of unique elements** and **their count**. This is the most vital function of this analysis, that I will use throughout all the subsections of this chapter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "61b1ab88",
   "metadata": {},
   "outputs": [],
   "source": [
    "def sort_by_val(dataframe, column):\n",
    "    factor = []\n",
    "    #listing unique elements\n",
    "    for i in dataframe[column]:\n",
    "        for j in i:\n",
    "            if j.lower() not in [k.lower() for k in factor] and j!='':\n",
    "                factor.append(j)\n",
    "    factNumber = []\n",
    "    #listing number of representations of elements \n",
    "    for i in factor:\n",
    "        val=0\n",
    "        for j in dataframe[column]:\n",
    "            if i in j:\n",
    "                val+=1\n",
    "        factNumber.append(val)\n",
    "    return [factor, factNumber]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb7e2819",
   "metadata": {},
   "source": [
    "With this function prepared, let's extract data concerning planets **Region** and present them on a horizontal bar chart."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9e510d00",
   "metadata": {},
   "outputs": [
    {
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PAw88wD777MM3vvENJk3KRbJJkybxzW9+E4CXXnppw5sBX375ZZYsWUJJSclG1dDagvODQAdJ34YNb467FLgxIlYDlUCZpC0kfZZcuKuyVtKWeeMcI6lzGmdHSXtkLSIF4AnAFpK+vLEPVYPZwBclfSHV10HSXo0YZyXQMR0/CXxJ0k7pdRsOPNKYOtI+504RMY3cGxDLGlGbmZmZWWavvvoqgwcPplevXuy///4MGTKEI444grFjx3L//ffTtWtX7r//fsaOHQvAY489xr777ktZWRlHHXUUV111FTvttNNG1dCqtmpEREg6CrhK0i/IBf9pfPSJGbOAl8htj1gMzM+7fSKwUNL8tM/558B9krYA1gI/AF5uYC2/As4D7t3IR6s+9huSRgGTJbVPzT8HnmvgUBOBf0h6Ne1z/i/gIXIrydMi4u5G1rESuFvSVmmssxpYl5mZmVmD9OrViwULFnyi/dOf/jQPPvjgJ9pPOukkTjrppCatQR/tKDBrHu2Lu0bxyPGFLsPMzMxasU31T25LmhcRNW6Ebm1bNczMzMzMCsLB2czMzMwsg1a1x9lap55dOlG+if56xczMzKy5eMXZzMzMzCwDB2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCyDokIXYG3fouUrKBk7tdBlmH1C5bjDC12CmZm1Il5xNjMzMzPLwMHZzMzMzCwDB2cz26xNmDCBHj160L17d8aPHw/ABRdcQJcuXSgrK6OsrIxp06YVtkgzM2sR2mxwlhSSbso7L5L0hqQp6fwbksbWcu+qWtrXS6qQtFjS3yVtn9p3lfTXRtb5szRmRd74FZLOaOR4j6fvJZJOaMT9jX4Ws9Zm8eLFXHvttcyZM4ennnqKKVOm8PzzzwNw1llnUVFRQUVFBV/72tcKXKmZmbUEbTY4A+8BPSRtnc6HAMurLkbEPRExroFjvh8RZRHRA3gL+EEa65WIOKYxRUbExWnMsrzxyyLi8rruk9SupvOIOCg1lQANCs6SijbmWcxam2effZYDDzyQDh06UFRUxJe+9CXuuuuuQpdlZmYtVFsOzgD/AKreNj8cmFx1QdIoSVek4z0lPSFprqT/zjj2E0CXdH+JpMV54/4trUi/JOl0SWdLWiBptqQd6xtYUjtJv031LJT03dQ+SNJDkv4MLKp+nvpUrZaPAw5Oq9dnSdpK0h8lLUq1DM6r93ZJfwfuq/YstdVRLGlm3ur7wRlfM7MWpUePHsycOZN///vfrF69mmnTprF06VIArrjiCnr16sXo0aN5++23C1ypmZm1BG09ON8KHC9pK6AX8GQt/SYAV0fE/sC/6hs0re4eCtxTS5ce5FZ7DwAuBlZHxH7kwva3M9Q9BliR6tkfOEXSnunaAcDPIqJbLedVxgKPptXry/hodbwnuV8iJqXXBaA/MDIiDslYxwnAvWmVfF+govoDSDpVUrmk8vWrV2R4ZLNNr7S0lJ/85CcMGTKEr3zlK+y7774UFRVx2mmn8cILL1BRUUFxcTE//vGPC12qmZm1AG06OEfEQnJbFoYDdb2754t8tBp9Ux39tpZUAfwb2BG4v5Z+D0XEyoh4A1gB/D21L0r11Gco8O0015PAp4Gu6dqciHgpr2/189oMID1bRPwTeBnYK127PyLeakAdc4HvSLoA6BkRK6vfGBETI6JvRPRt16FThvLMCmPMmDHMnz+fmTNnsuOOO9K1a1d22WUX2rVrxxZbbMEpp5zCnDlzCl2mmZm1AG06OCf3AL8jb5tGLSLDWO+nVdY9gE+RVnFr8EHe8Yd55x+S7R+dEfDDvP3Oe0bEfenae9X6Vj+va8za1DZGjXVExExgILk94zdJyrKKbtYivf766wD83//9H3feeSfDhw/n1Vdf3XD9rrvuokePHoUqz8zMWpDN4V8OvIHcdoNFkgbV0mcWcDxwMzCivgEjYkX61Iu7JV3dVIXmuRc4TdKMiFgraS/y3tiY0UqgY975THLPNiONtzuwBOjdiDp2ApZHxLWStklj/KmB9Zm1CMOGDePf//43W265JVdeeSU77LADJ510EhUVFUiipKSEP/zhD4Uu08zMWoA2H5wjYhm5Pcx1+RHwZ0k/Au7IOO4CSU+RC9yPblyVn3AduS0d8yUJeAM4soFjLATWpRpvBK4CrpG0CFgHjIqID3LDN7iOQcC5ktYCq8i2b9usRXr00U/+53vTTXXt2DIzs82VIrLsUDBrvPbFXaN45PhCl2H2CZXjDq+/k5mZbVYkzYuIvjVd2xz2OJuZmZmZbbQ2v1XDCq9nl06Ue2XPzMzMWjmvOJuZmZmZZeDgbGZmZmaWgYOzmZmZmVkGDs5mZmZmZhk4OJuZmZmZZeDgbGZmZmaWgYOzmZmZmVkGDs5mZmZmZhk4OJuZmZmZZeDgbGZmZmaWgYOzmZmZmVkGDs5mZmZmZhk4OJuZmZmZZVBU6AKs7Vu0fAUlY6cWugyrpnLc4YUuwczMrFXxirOZmZmZWQYOzmZmZmZmGXirhtlmrqSkhI4dO9KuXTuKioooLy+noqKC733ve6xZs4aioiKuuuoqDjjggEKXamZmVlAOzi2QpE8DD6bTzwDrgTeAEuCViOjWyHF3Aa4HPgtsCVRGxNcklQBTIqKHpL7AtyPijI17CmtNHnroIXbaaacN5+eddx7nn38+X/3qV5k2bRrnnXceDz/8cOEKNDMzawEcnFugiPg3UAYg6QJgVUT8rirgbsTQFwH3R8SENHavGuYuB8o3Yg5rAyTx7rvvArBixQp23XXXAldkZmZWeN7j3Pq0k3StpKcl3SdpawBJn5c0XdI8SY9K2qeGe4uBZVUnEbGwegdJgyRNScfbSvqjpEWSFkoaltqHSnpC0nxJt0vatnke1TYFSQwdOpQ+ffowceJEAMaPH8+5557LZz/7Wc455xwuueSSAldpZmZWeA7OrU9X4MqI6A68AwxL7ROBH0ZEH+Ac4Koa7r0SuF7SQ5J+Jqm+ZcRfACsiomdE9AJmSNoJ+DlwWET0Jrc6fXb1GyWdKqlcUvn61Ssa8Zi2qcyaNYv58+fzj3/8gyuvvJKZM2dy9dVXc9lll7F06VIuu+wyxowZU+gyzczMCs7BufV5KSIq0vE8oCSt+B4E3C6pAvgDudXlj4mIe4HPAdcC+wALJO1cx1yHkQvbVfe/DRwIdANmpblGAnvUMNfEiOgbEX3bdejU0Ge0TahqG0bnzp056qijmDNnDpMmTeLoo48G4Nhjj2XOnDmFLNHMzKxFcHBufT7IO15Pbp/6FsA7EVGW91Va080R8VZE/DkiTgLmAgPrmEtA1NB2f9483SLCy5Gt1HvvvcfKlSs3HN9333306NGDXXfdlUceeQSAGTNm0LVr10KWaWZm1iL4zYFtQES8K+klScdGxO2SBPSKiKfy+0k6BJgdEasldQQ+D/xfHUPfB5wOnJnu3wGYDVwp6QsR8f8kdQB2i4jnmuHRrJm99tprHHXUUQCsW7eOE044ga985Stsu+22/OhHP2LdunVstdVWG/Y+m5mZbc4cnNuOEcDVkn5O7qPmbgWeqtanD3CFpHXkVqmvi4i56dM6avIrciF5MbnV7Qsj4k5Jo4DJktqnfj8HHJxboc997nM89VT1PyYwYMAA5s2bV4CKzMzMWi5FVP+beLOm1b64axSPHF/oMqyaynGHF7oEMzOzFkfSvIjoW9M173E2MzMzM8vAWzWs2fXs0olyr26amZlZK+cVZzMzMzOzDByczczMzMwycHA2MzMzM8vAwdnMzMzMLAMHZzMzMzOzDByczczMzMwycHA2MzMzM8vAwdnMzMzMLAMHZzMzMzOzDByczczMzMwycHA2MzMzM8vAwdnMzMzMLAMHZzMzMzOzDByczczMzMwyKCp0Adb2LVq+gpKxUwtdRptROe7wQpdgZma2WfKKs5mZmZlZBg7OZq3Y+vXr2W+//TjiiCMAqKio4MADD6SsrIy+ffsyZ86cAldoZmbWdjg4NyNJn5F0q6QXJD0jaZqkvZp4jssknZl3fq+k6/LOL5V0dgPGu1HSMTW0D5I0ZaMLtiY1YcIESktLN5yfd955nH/++VRUVHDRRRdx3nnnFbA6MzOztsXBuZlIEnAX8HBEfD4iugE/BXbJeH+7jFM9DhyU7tkC2Anonnf9IGBWE89pLcCyZcuYOnUqJ5988oY2Sbz77rsArFixgl133bVQ5ZmZmbU5fnNg8xkMrI2Ia6oaIqICNoTq3wBfBQL4VUTcJmkQcD7wKlAmqScwDhgEtAeujIg/VJtnFnBZOu4OLAaKJe0ArAZKgQWSDgV+R+5nPhc4LSI+kFQJ3AAMBa7IH1jSV4DxwJvA/Lz2LwETqh4LGBgRKxv4+thGOvPMM/nNb37DypUfvfTjx4/ny1/+Mueccw4ffvghjz/+eAErNDMza1u84tx8egDzarl2NFAG7AscBvxWUnG6dgDws7RCPQZYERH7A/sDp0jaM3+giHgFWCdpd3Kry08ATwL9gb7AQnI/5xuB4yKiJ7nwfFreMGsiYkBE3FrVIGkr4Frg68DBwGfy+p8D/CAiytK197O9JNZUpkyZQufOnenTp8/H2q+++mouu+wyli5dymWXXcaYMWMKVKGZmVnb4+BcGAOAyRGxPiJeAx4hF4wB5kTES+l4KPBtSRXkwvCnga41jDeLXGiuCs5P5J0/DuwNvBQRz6X+k4CBefffVsOY+6R7no+IAG6uNt//SjoD2D4i1lW/WdKpksolla9fvaKOl8IaY9asWdxzzz2UlJRw/PHHM2PGDE488UQmTZrE0UcfDcCxxx7rNweamZk1IQfn5vM00KeWa6rjvveq9fthRJSlrz0j4r4a7qna59yT3FaN2eRWnKv2N9c1X/U580WNjRHjgJOBrYHZkvapoc/EiOgbEX3bdehUz/TWUJdccgnLli2jsrKSW2+9lUMOOYSbb76ZXXfdlUceeQSAGTNm0LVrTb9nmZmZWWM4ODefGUB7SadUNUjaP+0PngkcJ6mdpJ3Jrf7WtDR4L3CapC3T/XtJ2qaGfrOAI4C30ir2W8D25MLzE8A/gRJJX0j9TyK3yl2XfwJ7Svp8Oh+e9xyfj4hFEfFroJzc6rS1ANdeey0//vGP2XffffnpT3/KxIkTC12SmZlZm+E3BzaTiAhJRwHjJY0F1gCVwJnkgnN/4Clyq7rnRcS/ali5vQ4oAeanNxS+ARxZw3SLyH2axp+rtW0bEW8CSPoOcLukqjcHXvOJUT5e/xpJpwJTJb0JPEZu3zbAmZIGA+uBZ4B/1PliWLMaNGgQgwYNAmDAgAHMm1fb1nozMzPbGMptXzVrPu2Lu0bxyPGFLqPN8D+5bWZm1nwkzYuIvjVd81YNMzMzM7MMHJzNzMzMzDLwHmdrdj27dKLc2wvMzMyslfOKs5mZmZlZBg7OZmZmZmYZODibmZmZmWXg4GxmZmZmloGDs5mZmZlZBg7OZmZmZmYZODibmZmZmWXg4GxmZmZmloGDs5mZmZlZBg7OZmZmZmYZODibmZmZmWXg4GxmZmZmloGDs5mZmZlZBkWFLsDavkXLV1Aydmqhy2iVKscdXugSzMzMLPGKs5mZmZlZBg7OZmZmZmYZODibtRLr169nv/3244gjjgDgggsuoEuXLpSVlVFWVsa0adMKXKGZmVnb1mqDs6RVBZhzvaQKSYsl/V3S9ql9V0l/beSYP0tjVuSNXyHpjEaO93j6XiLphEbc3+hnseY1YcIESktLP9Z21llnUVFRQUVFBV/72tcKVJmZmdnmodUG5+YmqaY3Tr4fEWUR0QN4C/gBQES8EhHHNGaeiLg4jVmWN35ZRFxeT33tajqPiINSUwnQoOAsqWhjnsWaz7Jly5g6dSonn3xyoUsxMzPbbLX64CxpkKSHJf1V0j8l3SJJ6VqlpAslzZe0SNI+qX0bSTdImitpgaRvpvZRkm6X9HfgvnqmfgLoku4rkbQ4b4y/pRXplySdLunsNM9sSTtmeKZ2kn6b6lso6bt5z/qQpD8Di6qfpz5VK/HjgIPT6vVZkraS9Mf0OiyQNLimZ672LLXVUSxpZt7q+8FZf17WOGeeeSa/+c1v2GKLj/8ne8UVV9CrVy9Gjx7N22+/XaDqzMzMNg+tPjgn+wFnAt2AzwFfzLv2ZkT0Bq4GzkltPwNmRMT+wGDgt5K2Sdf6AyMj4pDaJkuru4cC99TSpQe51d4DgIuB1RGxH7mw/e0MzzMGWJHq2x84RdKe6doBwM8iolst51XGAo+m1evL+Gh1vCcwHJgkaat6nrm2Ok4A7k2r5PsCFdUfQNKpksolla9fvSLDI1ttpkyZQufOnenTp8/H2k877TReeOEFKioqKC4u5sc//nGBKjQzM9s8tJXPcZ4TEcsAJFWQ26bwWLp2Z/o+Dzg6HQ8FviGpKkhvBeyeju+PiLdqmWfrvPHnAffX0u+hiFgJrJS0Avh7al8E9MrwPEOBXpKqtkx0AroC/yH3rC/l9a1+XpsBwO8BIuKfkl4G9krXanvm2uqYC9wgaUvgbxFRUf3GiJgITARoX9w1MtRntZg1axb33HMP06ZNY82aNbz77ruceOKJ3HzzzRv6nHLKKRveNGhmZmbNo62sOH+Qd7yej/9C8EEN7QKG5e0n3j0ink3X3qtjnvfTKusewKdIq7j11PNh3vmHZPtlRcAP8+rbMyKqto5Ur6+uequPWZvaxqixjoiYCQwElgM3Scqyim6NdMkll7Bs2TIqKyu59dZbOeSQQ7j55pt59dVXN/S566676NGjRwGrNDMza/vaSnBuqHuBH+bthd6vITdHxArgDOCctOraHPWdVjW2pL3ytpJktRLomHc+ExhRNR65FfYljalD0h7A6xFxLXA90LuBtVkTOO+88+jZsye9evXioYce4rLLLit0SWZmZm1aW9mq0VD/DYwHFqbwXAk06O+5I2KBpKeA44FHm7i+68htB5mf6nsDOLKBYywE1qUabwSuAq6RtAhYB4yKiA/S7w4NrWMQcK6ktcAqsu3btiYwaNAgBg0aBMBNN91U2GLMzMw2M4rw9lNrXu2Lu0bxyPGFLqNVqhx3eKFLMDMz26xImhcRfWu6trlu1TAzMzMza5DNdauGbUI9u3Si3CunZmZm1sp5xdnMzMzMLAMHZzMzMzOzDByczczMzMwycHA2MzMzM8vAwdnMzMzMLAMHZzMzMzOzDByczczMzMwycHA2MzMzM8vAwdnMzMzMLAMHZzMzMzOzDByczczMzMwycHA2MzMzM8vAwdnMzMzMLIOiQhdgbd+i5SsoGTu10GU0WuW4wwtdgpmZmbUAXnE2MzMzM8vAwdnMzMzMLAMHZ7N6LF26lMGDB1NaWkr37t2ZMGECAMcddxxlZWWUlZVRUlJCWVlZYQs1MzOzZrVZ7XGWtB5YlNd0a0SMK2A904ATIuKdjRznAuAU4A3gU8B/R8TkRo51ETAzIh7YmJrakqKiIi699FJ69+7NypUr6dOnD0OGDOG2227b0OfHP/4xnTp1KmCVZmZm1tw2q+AMvB8RZYUuokpEfK0Jh7ssIn4nqSswT9JfI2JtI2r6ZRPW1CYUFxdTXFwMQMeOHSktLWX58uV069YNgIjgL3/5CzNmzChkmWZmZtbMNvutGpI6SVoiae90PlnSKel4laRLJc2X9KCknVP7KZLmSnpK0h2SOqT2GyVdLulxSS9KOia1F0uaKalC0mJJB6f2Skk7peOz07XFks5MbSWSnpV0raSnJd0naeu6nicingdWAzukMc5NtS6UdGHec/9C0j8l3Z+e+Zy8Z6iq+1BJCyQtknSDpPZ5dV+YXpdFkvZpoh9Hi1dZWcmCBQvo16/fhrZHH32UXXbZha5duxawMjMzM2tum1tw3jqF16qv4yJiBXA6cKOk44EdIuLa1H8bYH5E9AYeAc5P7XdGxP4RsS/wLDAmb45iYABwBFC1DeQE4N602r0vUJFflKQ+wHeAfsCBwCmS9kuXuwJXRkR34B1gWF0PKKk38HxEvC5paLr/AKAM6CNpoKS+aZz9gKOBvjWMsxVwI3BcRPQk97cTp+V1eTO9LlcD59Rw/6mSyiWVr1+9oq6SW41Vq1YxbNgwxo8fz3bbbbehffLkyQwfPryAlZmZmdmm4K0aQETcL+lY4EpywbbKh0DVRtabgTvTcQ9JvwK2B7YF7s27528R8SHwjKRdUttc4AZJW6brFdVKGADcFRHvAUi6EzgYuAd4Ka//PKCklmc7K62Ufw74Smobmr4WpPNtyQXpjsDdEfF+mu/vNYy3d5r7uXQ+CfgBMD6dV70W88iF74+JiInARID2xV2jlppbjbVr1zJs2DBGjBjB0Ud/9Ljr1q3jzjvvZN68eQWszszMzDaFzW3FuUaStgBKgfeBHevoWhUAbwROTyuxFwJb5fX5IH9ogIiYCQwElgM3Sfp29RLqmDN/vPXU/svOZRGxN3Ac8Ke0YizgkogoS19fiIjr65kvS035ddVVU5sQEYwZM4bS0lLOPvvsj1174IEH2Geffdhtt90KVJ2ZmZltKg7OOWeR23IxnI9WhiH3+hyTjk8AHkvHHYFXU78R9Q0uaQ/g9bQF5Hqgd7UuM4EjJXWQtA1wFPBoYx4kIu4EyoGR5FbCR0vaNtXRRVLn9Bxfl7RVulbTP433T6BE0hfS+UnktqtsdmbNmsVNN93EjBkzNnz83LRp0wC49dZbvU3DzMxsM9GmVwprsLWkirzz6cANwMnAARGxUtJM4Ofk9jO/B3SXNA9YQW41F+AXwJPAy+Q+3q5jPfMOAs6VtBZYBXxsxTki5ku6EZiTmq6LiAWSShrxjAAXAX8mt4peCjwhiTT3iRExV9I9wFPpGcrT8+XXtEbSd4DbJRWR225yTSPradUGDBhARM27TW688cZNW4yZmZkVjGoLBJb7VI2I2LbQdTQHSdtGxKr0iSAzgVMjYn5zzNW+uGsUjxzfHENvEpXjalqQNzMzs7ZI0ryI+MQHJ8Dmt+JsH5koqRu5/dmTmis0m5mZmbUVDs51aKurzQARcUKhazAzMzNrTRycrdn17NKJcm93MDMzs1bOn6phZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpZBUaELsLZv0fIVlIydWugyGq1y3OGFLsHMzMxaAK84m5mZmZll4OBsZmZmZpaBg7NZPZYuXcrgwYMpLS2le/fuTJgwAYDjjjuOsrIyysrKKCkpoaysrLCFmpmZWbPaLPY4SyoBpkREj7y2C4BVEfG7Ou4bBfSNiNObu8YsUs2nAG8AnwL+OyImN3Ksi4CZEfFA01XYNhUVFXHppZfSu3dvVq5cSZ8+fRgyZAi33Xbbhj4//vGP6dSpUwGrNDMzs+a2WQTnNuayiPidpK7APEl/jYi1DR0kIn7ZDLW1ScXFxRQXFwPQsWNHSktLWb58Od26dQMgIvjLX/7CjBkzClmmmZmZNTNv1QAkPSzp15LmSHpO0sE19Dlc0hOSdpJ0o6TLJT0u6UVJx6Q+kvRbSYslLZJ0XGq/StI30vFdkm5Ix2Mk/UpSiaRnJV0r6WlJ90nauq6aI+J5YDWwQxrrXElzJS2UdGFe3b+Q9E9J90uaLOmc1H5jXt2HSlqQar5BUvvUXinpQknz07V9UvuXJFWkrwWSOm7sz6C1qKysZMGCBfTr129D26OPPsouu+xC165dC1iZmZmZNTcH548URcQBwJnA+fkXJB0FjAW+FhFvpuZiYABwBDAutR0NlAH7AocBv5VUDMwEqsJ4F6BbOh4APJqOuwJXRkR34B1gWF3FSuoNPB8Rr0samu4/IM3fR9JASX3TOPul2vrWMM5WwI3AcRHRk9zfQpyW1+XNiOgNXA2ck9rOAX4QEWXpud6vYdxTJZVLKl+/ekVdj9JqrFq1imHDhjF+/Hi22267De2TJ09m+PDhBazMzMzMNoXNJThHhvY70/d5QEle+2DgJ8DhEfF2XvvfIuLDiHgG2CW1DQAmR8T6iHgNeATYn1w4PlhSN+AZ4LUUqPsDj6d7X4qIilpqyHeWpCXAk8AFqW1o+loAzAf2IRekBwB3R8T7EbES+HsN4+2d5n4unU8CBtbzuswC/lfSGcD2EbGu+qARMTEi+kZE33YdWv/e37Vr1zJs2DBGjBjB0UcfvaF93bp13HnnnRx33HEFrM7MzMw2hc0lOP+btKUhz47Am3nnH6Tv6/n43u8XgY7AXtXu/yDvWNW+f0xELE/zf4Xc6vOjwLfIvTlxZQ3jVa8h32URsTdwHPCntGIs4JKIKEtfX4iI62urp5r6+nzidYmIccDJwNbA7KotHG1VRDBmzBhKS0s5++yzP3btgQceYJ999mG33XYrUHVmZma2qWwWwTkiVgGvSjoUQNKO5ELsYxluf5ncNoc/SepeT9+ZwHGS2knamdzK7Zx07Qly20CqgvM5fLRNo8Ei4k6gHBgJ3AuMlrQtgKQukjqTe76vS9oqXavpn8D7J1Ai6Qvp/CRyK+W1kvT5iFgUEb9ONbTp4Dxr1ixuuukmZsyYseHj56ZNmwbArbfe6m0aZmZmm4nN6VM1vg1cKenSdH5hRLyQ5caIWCJpBHC7pK/X0fUuctsvniK3DeS8iPhXuvYoMDQi/p+kl8mteDc6OCcXAX8GStPXE5IAVgEnRsRcSfekel4mF3I/tuE4ItZI+k56tiJgLnBNPfOeKWkwuVXoZ4B/bORztGgDBgwgoubdPjfeeOOmLcbMzMwKRrUFAmsbJG0bEaskdSC32n1qRMzflDW0L+4axSPHb8opm1TluJoW6s3MzKwtkjQvIj7xgQqwea04b64mpjclbgVM2tSh2czMzKyt8IqzNbu+fftGeXl5ocswMzMzq1ddK86bxZsDzczMzMw2loOzmZmZmVkGDs5mZmZmZhk4OJuZmZmZZeDgbGZmZmaWgYOzmZmZmVkGDs5mZmZmZhk4OJuZmZmZZeDgbGZmZmaWgYOzmZmZmVkGDs5mZmZmZhk4OJuZmZmZZeDgbGZmZmaWQVGhC7C2b9HyFZSMnVroMhqsctzhhS7BzMzMWhCvOJuZmZmZZeDgbGZmZmaWgYOzWR2WLl3K4MGDKS0tpXv37kyYMGHDtd///vfsvffedO/enfPOO6+AVZqZmdmmsNntcZZ0GfByRIxP5/cCSyPi5HR+KbA8Iv63AWMOAv4TEY83ecG58SuBlUAAbwPfjoiXm3j8vhHxZlON2VYUFRVx6aWX0rt3b1auXEmfPn0YMmQIr732GnfffTcLFy6kffv2vP7664Uu1czMzJrZ5rji/DhwEICkLYCdgO551w8CZjVwzEFVY2YlqaG/tAyOiF7Aw8DPG3ivNVJxcTG9e/cGoGPHjpSWlrJ8+XKuvvpqxo4dS/v27QHo3LlzIcs0MzOzTWBzDM6z+CjkdgcWAysl7SCpPVAKLJDUR9IjkuZJuldSMYCkMyQ9I2mhpFsllQDfA86SVCHpYEk7S7pD0tz09cV07wWSJkq6D/hTOr9B0sOSXpR0Rob6nwC6pPFqm+cASY9LWpC+753a20n6naRFqf4f5o37Q0nz07V9Uv9tUn1z01jfTO3dJc1Jz7tQUteN+Hm0GpWVlSxYsIB+/frx3HPP8eijj9KvXz++9KUvMXfu3EKXZ2ZmZs1ss9uqERGvSFonaXdyAboqiPYHVgALyW2J+D3wzYh4Q9JxwMXAaGAssGdEfCBp+4h4R9I1wKqI+B2ApD8Dl0XEY2mee8kFcoA+wICIeF/SBcA+wGCgI7BE0tURsbaOR/gK8Ld0PKGWef4JDIyIdZIOA/4HGAacCuwJ7Jeu7Zg37psR0VvS94FzgJOBnwEzImK0pO2BOZIeIPeLwoSIuEXSp4B21YuUdGqaj3bb7VzH47QOq1atYtiwYYwfP57tttuOdevW8fbbbzN79mzmzp3Lt771LV588UUkFbpUMzMzayabXXBOqladDwL+l1xwPohccH4c2BvoAdyfglA74NV070LgFkl/46MAW91hQLe8ELWdpI7p+J6IeD+v79SI+AD4QNLrwC7AshrGfEjSLsDrfLRVo7Z5OgGT0kpwAFvm9b8mItYBRMRbeePfmb7PA45Ox0OBb0g6J51vBexO7peNn0naDbgzIp6vXmxETAQmArQv7ho1PE+rsXbtWoYNG8aIESM4+ujcS7Pbbrtx9NFHI4kDDjiALbbYgjfffJOdd279vySYmZlZzTbHrRrw0T7nnuS2aswmt+Jctb9ZwNMRUZa+ekbE0HTv4cCV5FaO59WyV3kLoH/e/V0iYmW69l61vh/kHa+n9l9mBgN7AE8DF9Uzz38DD0VED+Dr5AIv6blqC7FVdeTXIGBY3vi7R8SzEfFn4BvA+8C9kg6pZcxWLyIYM2YMpaWlnH322RvajzzySGbMmAHAc889x3/+8x922mmnQpVpZmZmm8DmGpxnAUcAb0XE+rTyuj258PwEsATYWVJ/AElbpn29WwCfjYiHgPPSPduS+8SLjnnj3wecXnUiqawpik4r1WcC307bLGqbpxOwPB2PqlbX96rCfrWtGjW5l9zeZ6X++6XvnwNejIjLgXuAXo1+qBZu1qxZ3HTTTcyYMYOysjLKysqYNm0ao0eP5sUXX6RHjx4cf/zxTJo0yds0zMzM2rjNdavGInKfpvHnam3bVn0km6RjgMsldSL3Oo0HngNuTm0it7/4HUl/B/6a3jz3Q+AM4EpJC9O9M8ntC95oEfGqpMnAD+qY5zfktmqcDczIu/06YC9goaS1wLXAFXVM99/puRem8FxJ7heO44AT0xj/4qMV8DZnwIABRNS8SH/zzTdv4mrMzMyskFRbKDBrKu2Lu0bxyPGFLqPBKscdXugSzMzMbBOTNC8i+tZ0bXPdqmFmZmZm1iCb61YN24R6dulEuVdvzczMrJXzirOZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQZFhS7A2r5Fy1dQMnZqocuoV+W4wwtdgpmZmbVgXnE2MzMzM8vAwdnMzMzMLAMHZ7M8S5cuZfDgwZSWltK9e3cmTJjwseu/+93vkMSbb75ZoArNzMysUBycNyFJl0k6M+/8XknX5Z1fKulsSd+QNDa1XSDpnBrGKpG0uIb2LSRdLmmxpEWS5kras5keqc0pKiri0ksv5dlnn2X27NlceeWVPPPMM0AuVN9///3svvvuBa7SzMzMCsHBedN6HDgIcgEX2Anonnf9IGBWRNwTEeMaOcdxwK5Ar4joCRwFvNPoijczxcXF9O7dG4COHTtSWlrK8uXLATjrrLP4zW9+g6RClmhmZmYF4uC8ac0iBWdygXkxsFLSDpLaA6XAAkmjJF1R/WZJfSQ9JekJ4Ae1zFEMvBoRHwJExLKIeDvdvyqtas+X9KCknVP7KWll+ilJd0jqkNp3kXRXan9KUlXoP1HSHEkVkv4gqV2TvUItSGVlJQsWLKBfv37cc889dOnShX333bfQZZmZmVmBODhvQhHxCrBO0u7kAvQTwJNAf6AvsDAi/lPHEH8EzoiI/nX0+Qvw9RRqL5W0X961bYD5EdEbeAQ4P7XfGRH7R8S+wLPAmNR+OfBIau8NPC2plNyq9hcjogxYD4zI+BK0GqtWrWLYsGGMHz+eoqIiLr74Yi666KJCl2VmZmYF5OC86VWtOlcF5yfyzh+v7SZJnYDtI+KR1HRTTf0iYhmwN/BfwIfAg5IOTZc/BG5LxzcDA9JxD0mPSlpELgRXbR85BLg6jbs+IlYAhwJ9gLmSKtL552qo91RJ5ZLK169eUfur0QKtXbuWYcOGMWLECI4++mheeOEFXnrpJfbdd19KSkpYtmwZvXv35l//+lehSzUzM7NNyP8AyqZXtc+5J7mtGkuBHwPvAjfUcZ+AyDJBRHwA/AP4h6TXgCOBB2vqmr7fCBwZEU9JGgUMqqeOSRHxX/XUMBGYCNC+uGumuluCiGDMmDGUlpZy9tlnA9CzZ09ef/31DX1KSkooLy9np512KlSZZmZmVgBecd70ZgFHAG+lVdy3gO3Jbdd4orabIuIdYIWkqlXiGrdHSOotadd0vAXQC3g5Xd4COCYdnwA8lo47Aq9K2rLauA8Cp6Wx2knaLrUdI6lzat9R0h7ZHr3lmzVrFjfddBMzZsygrKyMsrIypk2bVuiyzMzMrAXwivOmt4jcp2n8uVrbthFR34cDfwe4QdJq4N5a+nQGrk1vNgSYA1S90fA9oLukecAKcnuVAX5Bbq/1y6mWjqn9R8BESWPI7WU+LSKekPRz4L4UzNeSe6NiVThv1QYMGEBE3QvklZWVm6YYMzMza1FUX0iwtkPSqojYdlPP2764axSPHL+pp22wynGHF7oEMzMzKzBJ8yKib03XvFXDzMzMzCwDB+fNSCFWm83MzMzaCu9xtmbXs0snyr0NwszMzFo5rzibmZmZmWXg4GxmZmZmloGDs5mZmZlZBg7OZmZmZmYZODibmZmZmWXg4GxmZmZmloGDs5mZmZlZBg7OZmZmZmYZODibmZmZmWXg4GxmZmZmloGDs5mZmZlZBg7OZmZmZmYZODibmZmZmWVQVOgCrO1btHwFJWOnFrqMGlWOO7zQJZiZmVkr4RVnMzMzM7MMHJzNzMzMzDJwcLbN3tKlSxk8eDClpaV0796dCRMmAHDuueeyzz770KtXL4466ijeeeedwhZqZmZmBeXg3ApI+oykWyW9IOkZSdMk7VVL3xJJizdirmmStm90sa1QUVERl156Kc8++yyzZ8/myiuv5JlnnmHIkCEsXryYhQsXstdee3HJJZcUulQzMzMrIAfnFk6SgLuAhyPi8xHRDfgpsEtzzBcRX4uId5pj7JaquLiY3r17A9CxY0dKS0tZvnw5Q4cOpago9/7ZAw88kGXLlhWyTDMzMyswB+eWbzCwNiKuqWqIiArgMUm/lbRY0iJJx1W/UdJWkv6Yri+QNDi1j5J0p6Tpkp6X9Ju8eyol7ZSOT5Q0R1KFpD9Iape+bsyb96xmfwU2ocrKShYsWEC/fv0+1n7DDTfw1a9+tUBVmZmZWUvgj6Nr+XoA82poPxooA/YFdgLmSppZrc8PACKip6R9gPvytniUAfsBHwBLJP0+IpZW3SipFDgO+GJErJV0FTACeBroEhE9Ur/taypa0qnAqQDtttu5gY9cGKtWrWLYsGGMHz+e7bbbbkP7xRdfTFFRESNGjChgdWZmZlZoXnFuvQYAkyNifUS8BjwC7F9Dn5sAIuKfwMtAVXB+MCJWRMQa4Blgj2r3Hgr0IRfIK9L554AXgc9J+r2krwDv1lRcREyMiL4R0bddh04b+ajNb+3atQwbNowRI0Zw9NFHb2ifNGkSU6ZM4ZZbbiG3a8bMzMw2V15xbvmeBo6poT1Liqurzwd5x+v55J8FAZMi4r8+Mai0L/Blciva3wJGZ6ilxYoIxowZQ2lpKWefffaG9unTp/PrX/+aRx55hA4dOhSwQjMzM2sJvOLc8s0A2ks6papB0v7A28Bxac/xzsBAYE61e2eS215B2qKxO7Ak47wPAsdI6pzu31HSHmn/8xYRcQfwC6B34x+tZZg1axY33XQTM2bMoKysjLKyMqZNm8bpp5/OypUrGTJkCGVlZXzve98rdKlmZmZWQF5xbuEiIiQdBYyXNBZYA1QCZwLbAk8BAZwXEf+SVJJ3+1XANZIWAeuAURHxQZYtBxHxjKSfk9sXvQWwltwK8/vAH1MbwCdWpFubAQMGEBGfaP/a175WgGrMzMyspVJNgcGsKbUv7hrFI8cXuowaVY47vNAlmJmZWQsiaV5E9K3pmrdqmJmZmZll4K0a1ux6dulEuVd2zczMrJXzirOZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQZFhS7A2r5Fy1dQMnZqs4xdOe7wZhnXzMzMrDqvOJuZmZmZZeDgbGZmZmaWgYOztXqjR4+mc+fO9OjRY0PbL37xC3r16kVZWRlDhw7llVdeKWCFZmZm1hY4ODczSZ+WVJG+/iVpeTp+R9IzGzHuKElX1NOnRNIJjRz/8cZVtumNGjWK6dOnf6zt3HPPZeHChVRUVHDEEUdw0UUXFag6MzMzayscnJtZRPw7Isoiogy4BrgsHZcBHzbz9CVAg4KzpHYAEXFQQ+8plIEDB7Ljjjt+rG277bbbcPzee+8haVOXZWZmZm2Mg3NhtZN0raSnJd0naWsASZ+XNF3SPEmPStqnrkEk3SjpckmPS3pR0jHp0jjg4LTCfZakdpJ+K2mupIWSvpvuHyTpIUl/BhaltlXpu9I9iyUtknRcbfe0ND/72c/47Gc/yy233OIVZzMzM9toDs6F1RW4MiK6A+8Aw1L7ROCHEdEHOAe4KsNYxcAA4AhygRlgLPBoWvG+DBgDrIiI/YH9gVMk7Zn6HgD8LCK6VRv3aHKr4/sChwG/lVRczz1IOlVSuaTy9atXZCi/6V188cUsXbqUESNGcMUVde5qMTMzM6uXg3NhvRQRFel4HlAiaVvgIOB2SRXAH8iF4vr8LSI+jIhngF1q6TMU+HYa90ng0+TCO8CciHiphnsGAJMjYn1EvAY8Qi5013UPETExIvpGRN92HTplKL/5nHDCCdxxxx0FrcHMzMxaP/8DKIX1Qd7xemBrcr/MvJP2QTd2rNo29IrcSva9H2uUBgHv1XFPbWq7p+Cef/55unbN/U5wzz33sM8+de52MTMzM6uXV5xbmIh4F3hJ0rGwYY/xvo0cbiXQMe/8XuA0SVumsfeStE09Y8wEjkv7o3cGBgJzGllPsxg+fDj9+/dnyZIl7Lbbblx//fWMHTuWHj160KtXL+677z4mTJhQ6DLNzMyslfOKc8s0Arha0s+BLYFbgacaMc5CYJ2kp4AbgQnkPmljvnIfM/EGcGQ9Y9wF9E/zB3BeRPyrvjcsbkqTJ0/+RNuYMWMKUImZmZm1ZYqIQtdgbVz74q5RPHJ8s4xdOe7wZhnXzMzMNk+S5kVE35queauGmZmZmVkG3qphza5nl06Ue2XYzMzMWjmvOJuZmZmZZeDgbGZmZmaWgYOzmZmZmVkGDs5mZmZmZhk4OJuZmZmZZeDgbGZmZmaWgYOzmZmZmVkGDs5mZmZmZhk4OJuZmZmZZeDgbGZmZmaWgYOzmZmZmVkGDs5mZmZmZhk4OJuZmZmZZeDgbGZmZmaWQVGhC7C2b9HyFZSMndqkY1aOO7xJxzMzMzOrj1eczczMzMwycHC2Vmv06NF07tyZHj16bGg799xz2WeffejVqxdHHXUU77zzTuEKNDMzszbFwbmAJK2XVCHpaUlPSTpbUrP/TCSdI+mfkhaneb/d3HM2h1GjRjF9+vSPtQ0ZMoTFixezcOFC9tprLy655JICVWdmZmZtjYNzYb0fEWUR0R0YAnwNOL85J5T0vTTXARHRAxgIqAH3t2uu2hpq4MCB7Ljjjh9rGzp0KEVFua37Bx54IMuWLStEaWZmZtYGOTi3EBHxOnAqcLpy2kn6raS5khZK+m5VX0nn5rVfmNpK0irypNT+V0kdapjqp8D3I+LdNO+KiJiUxjhU0gJJiyTdIKl9aq+U9EtJjwHHShoq6QlJ8yXdLmnbZn55GuWGG27gq1/9aqHLMDMzszbCwbkFiYgXyf1MOgNjgBURsT+wP3CKpD0lDQW6AgcAZUAfSQPTEHsDEyOiF/Au8P388SV1BDpGxAvV55a0FXAjcFxE9CT3iSun5XVZExEDgAeAnwOHRURvoBw4uwkev0ldfPHFFBUVMWLEiEKXYmZmZm2Eg3PLU7VtYijwbUkVwJPAp8kF5qHpawEwH9gntQMsjYhZ6fhmYEANY0ct8+4NvBQRz6XzSeS2cVS5LX0/EOgGzEq1jQT2+MRDSKdKKpdUvn71irqet8lNmjSJKVOmcMsttyBl3oViZmZmVid/jnMLIulzwHrgdXIh94cRcW+1Pl8GLomIP1RrL+GTofhj5xHxrqT3JH0urW5/bIh6ynsvr9/9ETG8rs4RMRGYCNC+uGttYb3JTZ8+nV//+tc88sgjdOhQ004VMzMzs8bxinMLIWln4BrgiogI4F7gNElbput7SdomtY+u2lcsqYukzmmY3SX1T8fDgcdqmOoS4EpJ26X7t5N0KvBPoETSF1K/k4BHarh/NvDFqn6SOkjaa6MevpGGDx9O//79WbJkCbvtthvXX389p59+OitXrmTIkCGUlZXxve99rxClmZmZWRvkFefC2jptd9gSWAfcBPxvunYdUALMV26/wRvAkRFxn6RS4Im0DWEVcCK5lepngZGS/gA8D1xdw5xXA9sCcyWtBdYCl0bEGknfAW6XVATMJRfkPyYi3pA0Cphc9eZBcnuen6vet7lNnjz5E21jxozZ1GWYmZnZZkK5xU1r7dJWjSnpI+ZalPbFXaN45PgmHdP/5LaZmZk1B0nzIqJvTde8VcPMzMzMLANv1WgjIqISaHGrzWZmZmZthYOzNbueXTpR7q0VZmZm1sp5q4aZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQZFhS7A2r5Fy1dQMnZqk4xVOe7wJhnHzMzMrKG84mxmZmZmloGDs5mZmZlZBg7O1iqNHj2azp0706NHjw1tt99+O927d2eLLbagvLy8gNWZmZlZW+TgnIGkkHRp3vk5ki5oorF7SqpIX29JeikdP9DI8S6SdFg6PlNSh0aMcZ2kbo2Zf1MZNWoU06dP/1hbjx49uPPOOxk4cGCBqjIzM7O2zG8OzOYD4GhJl0TEm005cEQsAsoAJN0ITImIv2a5V1K7iFhf7fyXeV3OBG4GVmetJ41xctb+hTJw4EAqKys/1lZaWlqYYszMzGyz4BXnbNYBE4Gzql+QtLOkOyTNTV9fTO2LJG2vnH9L+nZqv6lqRbgukoZKekLSfEm3S9o2tVdK+qWkx4Bjazi/UdIxks4AdgUekvRQund4qmuxpF/nzbUqrVQ/CfSX9LCkvvXUMU7SM5IWSvrdRr26ZmZmZq2Ag3N2VwIjJHWq1j4BuCwi9geGAdel9lnAF4HuwIvAwan9QGB2XRNJ2gn4OXBYRPQGyoGz87qsiYgBEXFrLedExOXAK8DgiBgsaVfg18Ah5Fa495d0ZOq+DbA4IvpFxGP11SFpR+AooHtE9AJ+VcMznCqpXFL5+tUr6npcMzMzs1bBWzUyioh3Jf0JOAN4P+/SYUA3SVXn20nqCDwKDAReBq4GTpXUBXgrIlbVM92BQDdgVhr3U8ATeddvq9a/+nlN9gcejog3ACTdkur7G7AeuKMBdbwLrAGukzQVmFL9xoiYSG6VnvbFXSNDfWZmZmYtmoNzw4wH5gN/zGvbAugfEflhGkkzgR8AuwM/I7dCewy5QF0fAfdHxPBarr9Xz3ltY9ZmTf5e6Sx1SDoAOBQ4Hjid3Eq2mZmZWZvlrRoNEBFvAX8BxuQ130cuOAIgqSz1XQrsBHSNiBeBx4BzyBacZwNflPSFNGYHSXs1ouSVQMd0/CTwJUk7SWoHDAceaUwdaZ9zp4iYRu4NiGWNqG2jDB8+nP79+7NkyRJ22203rr/+eu666y522203nnjiCQ4//HC+/OUvb+qyzMzMrA3zinPDXUpeUCa3deNKSQvJvZ4zge+la08C7dLxo8Al5AJ0nSLiDUmjgMmS2qfmnwPPNbDWicA/JL2a9jn/F/AQuZXkaRFxdyPrWAncLWmrNNYn3jTZ3CZPnlxj+1FHHbWJKzEzM7PNhSK8/dSaV/virlE8cnyTjFU57vAmGcfMzMysJpLmRUTfmq55q4aZmZmZWQbeqmHNrmeXTpR7pdjMzMxaOa84m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZllUFToAqztW7R8BSVjpzb4vspxhzdDNWZmZmaN4xVnMzMzM7MMHJzNzMzMzDJwcLYW77LLLqN79+706NGD4cOHs2bNmkKXZGZmZpshB2dA0i6S/izpRUnzJD0h6ah67imRtLiR842StGve+XWSumW8d5CkFZIq0tcDjamh2pjbS/p+3vmukv66seM2heXLl3P55ZdTXl7O4sWLWb9+PbfeemuhyzIzM7PN0GYfnCUJ+BswMyI+FxF9gOOB3Zpx2lHAhuAcESdHxDMNuP/RiChLX4flX5DUmDd8bg9sCM4R8UpEHJP1ZkntGjFnZuvWreP9999n3bp1rF69ml133bX+m8zMzMya2GYfnIFDgP9ExDVVDRHxckT8HjasLD8qaX76Oqj6AHX1kXSepEWSnpI0TtIxQF/glrRivLWkhyX1Tf2/ksZ4StKDWR4grWDfLunvwH2SdpT0N0kLJc2W1Cv1u0DSDWm+FyWdkYYYB3w+1fPb/NV0Se1S29w03ndT+yBJD0n6M7Cowa96Rl26dOGcc85h9913p7i4mE6dOjF06NDmms7MzMysVv44OugOzK/j+uvAkIhYI6krMJlc8K23j6SvAkcC/SJitaQdI+ItSacD50REOUBu0Rsk7QxcCwyMiJck7VhLTQdLqkjHtwPLgf5ArzT+74EFEXGkpEOAPwFlqf8+wGCgI7BE0tXAWKBHRJSlOkry5hoDrIiI/SW1B2ZJui9dOyDd91L1AiWdCpwK0G67nWt5jPq9/fbb3H333bz00ktsv/32HHvssdx8882ceOKJjR7TzMzMrDG84lyNpCvTau/c1LQlcK2kReRCak17kWvrcxjwx4hYDRARb9Uz/YHktoy8VE///K0aF6e2+/P6DwBuSmPMAD4tqVO6NjUiPoiIN8kF/l3qqWko8O0U1J8EPg10Tdfm1BSa07wTI6JvRPRt16FTTV0yeeCBB9hzzz3Zeeed2XLLLTn66KN5/PHHGz2emZmZWWN5xRmeBoZVnUTEDyTtBJSnprOA14B9yf2iUdNHOtTWR0A0oJaG9s/3XrVxqqsa94O8tvXU/2dAwA8j4t6PNUqDqs3ZLHbffXdmz57N6tWr2XrrrXnwwQfp27f6gr+ZmZlZ8/OKM8wAtpJ0Wl5bh7zjTsCrEfEhcBJQ0xvhautzHzBaUgeAvK0XK8ltlajuCeBLkvas1r+hZgIj0hiDgDcj4t06+tdWD8C9wGmStkzj7SVpm0bW1WD9+vXjmGOOoXfv3vTs2ZMPP/yQU089dVNNb2ZmZrbBZr/iHBEh6UjgMknnAW+QW0n9SepyFXCHpGOBh6h5lbXGPhExXVIZUC7pP8A04KfAjcA1kt4ntze5qpY30t7gOyVtQdo73YjHugD4o6SFwGpgZF2dI+LfkmalNwT+A7gy7/J1QAkwP30CyRvk9m1vMhdeeCEXXnjhppzSzMzM7BMU0didAWbZtC/uGsUjxzf4vspxhzd9MWZmZmZ1kDQvImrcF+qtGmZmZmZmGWz2WzWs+fXs0olyrx6bmZlZK+cVZzMzMzOzDByczczMzMwycHA2MzMzM8vAwdnMzMzMLAMHZzMzMzOzDByczczMzMwycHA2MzMzM8vAwdnMzMzMLAMHZzMzMzOzDByczczMzMwycHA2MzMzM8vAwdnMzMzMLAMHZzMzMzOzDByczczMzMwyKCp0Adb2LVq+gpKxUzP3rxx3eDNWY2ZmZtY4XnE2MzMzM8vAwdlapCVLllBWVrbha7vttmP8+PGFLsvMzMw2Yw7OtZD0aUkV6etfkpbnnX+qnnv7Sro8HY+SdEU6/p6kbzdRfUdIWiDpKUnPSPpuI8f5aVPU09T23ntvKioqqKioYN68eXTo0IGjjjqq0GWZmZnZZsx7nGsREf8GygAkXQCsiojfVV2XVBQR62q5txwor6H9mqaoTdKWwETggIhYJqk9UNLI4X4K/E8D5hagiPiwkfM12IMPPsjnP/959thjj001pZmZmdkneMW5ASTdKOl/JT0E/FrSAZIeTyu/j0vaO/UbJGlKDfdfIOmcdPywpF9LmiPpOUkHp/YOkv4iaaGk2yQ9KalvtaE6kvul598AEfFBRCxJ9+8s6Q5Jc9PXF1P7tpL+KGlRGnuYpHHA1mkV/ZbU72xJi9PXmamtRNKzkq4C5gOfTa/F4jTeWU39Wue79dZbGT58eHNOYWZmZlYvrzg33F7AYRGxXtJ2wMCIWCfpMHIrt8MaMFZRRBwg6WvA+cBhwPeBtyOil6QeQEX1myLiLUn3AC9LehCYAkxOq8ATgMsi4jFJuwP3AqXAL4AVEdETQNIOEXGHpNMjoiy19QG+A/QDBDwp6RHgbWBv4DsR8f3Ur0tE9Ej3bd+AZ26Q//znP9xzzz1ccsklzTWFmZmZWSYOzg13e0SsT8edgEmSugIBbNnAse5M3+fx0VaLAeTCLxGxWNLCmm6MiJMl9SQXts8BhgCj0nm33I4KALaT1DG1H593/9s1DDsAuCsi3gOQdCdwMHAP8HJEzE79XgQ+J+n3wFTgvuoDSToVOBWg3XY71/Ua1Okf//gHvXv3Zpdddmn0GGZmZmZNwVs1Gu69vOP/Bh5KK69fB7Zq4FgfpO/r+eiXGNXS9xMiYlFEXEYuNFetdG8B9I+IsvTVJSJWpnGjniHrmnvDc6fQvS/wMPAD4LoaapsYEX0jom+7Dp2yPtInTJ482ds0zMzMrEVwcN44nYDl6XhUE435GPAtAEndgJ7VO6T9yoPymsqAl9PxfcDpeX3LamnfIR2uTW82BJgJHJn2WW8DHAU8WsP8OwFbRMQd5LaA9G7IA2a1evVq7r//fo4++ujmGN7MzMysQRycN85vgEskzQLaNdGYVwE7py0aPwEWAiuq9RFwnqQlkiqAC/kouJ8B9E1vAHwG+F5q/xWwQ3pD31PA4NQ+EVgo6ZaImA/cCMwBngSui4gFNdTYBXg4zX0j8F8b9cS16NChA//+97/p1KnxK9ZmZmZmTUUR9f3tvW1KktoBW0bEGkmfBx4E9oqI/xS4tEZrX9w1ikeOz9zf/+S2mZmZFYqkeRFR/RPNAL85sCXqADyUtk8IOK01h2YzMzOztsLBuYVJb+Sr8bccMzMzMyscB2drdj27dKLc2y/MzMyslfObA83MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswwcnM3MzMzMMigqdAHW9i1avoKSsVNrvFY57vBNXI2ZmZlZ43jF2czMzMwsAwdnMzMzM7MMHJytxVi/fj377bcfRxxxRKFLMTMzM/sEB+dNTNKqauejJF1Rzz0lkk7IOy+T9LVa+naQdIukRZIWS3pM0rZNU33zmjBhAqWlpYUuw8zMzKxGDs6tQwlwQt55GVBjcAZ+BLwWET0jogcwBljbrNU1gWXLljF16lROPvnkQpdiZmZmViMH5xZE0o2Sjsk7r1qdHgccLKlC0k+Ai4Dj0vlx1YYpBpZXnUTEkoj4IK1a/1PSJEkLJf1VUoc0zy8lzU0r1BMlKbV/QdIDkp6SNF/S51P7uan/QkkXNsWzn3nmmfzmN79hiy38R9LMzMxaJqeUTW/rFHgrJFWQC8H1GQs8GhFlEfFr4JfAben8tmp9bwB+IukJSb+S1DXv2t7AxIjoBbwLfD+1XxER+6cV6q2Bqk3GtwBXRsS+wEHAq5KGAl2BA8itfPeRNLB6wZJOlVQuqXz96hV1PtyUKVPo3Lkzffr0yfBSmJmZmRWGg/Om934KvGURUUYuBDeZiKgAPgf8FtgRmCupauPw0oiYlY5vBgak48GSnpS0CDgE6C6pI9AlIu5K466JiNXA0PS1AJgP7EMuSFevY2JE9I2Ivu06dKqz5lmzZnHPPfdQUlLC8ccfz4wZMzjxxBMb/RqYmZmZNQcH55ZlHelnkrZLfKoxg0TEqoi4MyK+Ty4gV+2HjupdJW0FXAUcExE9gWuBrQDVMryAS/LC/xci4vrG1FnlkksuYdmyZVRWVnLrrbdyyCGHcPPNN2/MkGZmZmZNzsG5ZakEqvYrfBPYMh2vBDrm9at+voGkL0raIR1/CugGvJwu7y6pfzoeDjxGLiQDvJk+feMYgIh4F1gm6cg0Vvu0J/peYHTVJ3VI6iKpc2Mf2MzMzKy1cHBuWa4FviRpDtAPeC+1LwTWpTfpnQU8BHSr5c2BnwceSdsuFgDlwB3p2rPASEkLyW3juDoi3knzLgL+BszNG+sk4IzU/3HgMxFxH/Bn4Ik0x1+pJcQ3xqBBg5gyZUpTDWdmZmbWZBRR/W/vrS2SVAJMSW8A3KTaF3eN4pHja7xWOe7wTVuMmZmZWR0kzYuIvjVd84qzmZmZmVkGRYUuwDaNiKgENvlqM0DPLp0o98qymZmZtXJecTYzMzMzy8DB2czMzMwsAwdnMzMzM7MMHJzNzMzMzDJwcDYzMzMzy8DB2czMzMwsAwdnMzMzM7MMHJzNzMzMzDJwcDYzMzMzy8DB2czMzMwsAwdnMzMzM7MMHJzNzMzMzDJwcDYzMzMzy6Co0AVY27do+QpKxk79WFvluMMLVI2ZmZlZ43jF2czMzMwsAwdnMzMzM7MMHJytYNasWcMBBxzAvvvuS/fu3Tn//PMLXZKZmZlZreoNzpLWS6rI+ypprmIkjZJ0RTOM217SA6n+42qYc9e880pJO23EXHtJmibp/0l6VtJfJO3SyLGOTWM81IB7bpR0TGPm29Tat2/PjBkzeOqpp6ioqGD69OnMnj270GWZmZmZ1SjLmwPfj4iy5i6kLpKKImLdRgyxH7BlLc8xClgMvLIR4wMgaStgKnB2RPw9tQ0GdgZea8SQY4DvR0Tm4NxQTfDabszcbLvttgCsXbuWtWvXIqkQpZiZmZnVq1FbNSSVSZotaaGkuyTtkNofltQ3He8kqTIdj5J0p6Tpkp6X9Ju8sb4j6TlJjwBfzGu/UdL/ptXW36b7dk7Xtkgruh9bGZa0o6S/pbpmS+olqTNwM1CWVpw/n9f/GKAvcEu6tnW69ENJ8yUtkrRP6ruNpBskzZW0QNI3a3hpTgCeqArNABHxUEQslrSVpD+mMRekQF3rayPpl8AA4BpJv5XULn2fm57vu6mfJF0h6RlJU4HOec/XR9IjkuZJuldScd7P6X/Sa/4jSV+X9GSq64GqFXJJ2+bVvFDSMEljJF2WN8cpkv637j8xtVu/fj1lZWV07tyZIUOG0K9fv8YOZWZmZtassgTnrfO2adyV2v4E/CQiegGLgCybU8uA44CewHGSPpuC3IXkAvMQoFu1e/YCDouIs8iF3xGp/TDgqYh4s1r/C4EFqa6fAn+KiNeBk4FHI6IsIl6o6hwRfwXKgRHp2vvp0psR0Ru4Gjgntf0MmBER+wODyYX5barN3wOYV8vz/yDN2RMYDkxKK9Q1vjYRcVFebeeSW31ekebfHzhF0p7AUcDe6d5TgIMAJG0J/B44JiL6ADcAF+fVs31EfCkiLgUeAw6MiP2AW4HzUp9fpDl7ptd0Rrr+jTQ+wHeAP1Z/WEmnSiqXVL5+9YpaXhJo164dFRUVLFu2jDlz5rB48eJa+5qZmZkVUoO3akjqRC50PZKaJgG3ZxjnwYhYkcZ4BtgD2Al4OCLeSO23kQvLVW6PiPXp+AbgbmA8MJoawhq5FdphABExQ9KnU70NdWf6Pg84Oh0PJRcYq4L0VsDuwLMZxxxALsgSEf+U9DIfPWtNr83SavcPBXrl7V/uBHQFBgKT0+v0iqQZ6fre5IL8/Wn7Qzvg1bzxbss73g24Lf0i8yngpdR+GHB8VaeIeDvVOAM4QtKz5LbALKr+sBExEZgI0L64a9T90sD222/PoEGDmD59Oj169Kivu5mZmdkm19SfqrEub8ytql37IO94PR+F9rpC1XtVBxGxFHhN0iFAP+AfNfSvaYNsvaGtBlW15tcpYFhamS6LiN0jonpofhroU8uYdW3ere21qX7/D/Pm3zMi7kvXanpGAU/n9e8ZEUPzrr+Xd/x74Iq0Gv5dPvrZqZaxryO3N7zG1eas3njjDd555x0A3n//fR544AH22Wefxg5nZmZm1qwaHJzTyujbkg5OTScBVavPlXwUHLN8ssOTwKC0MrwlcGw9/a8jt2XjL3kr0flmkrZzSBpEbsvFu/WMuRLomKHWe8ntfVYaf78a+vwZOEjShn8WT9JXJPWsVtte5Farl2SYN3/+06q2SCj36R3bpHGPT3ugi8ltIyGNvbOk/qn/lpK61zJ2J2B5Oh6Z134fcHres+wAEBFPAp8lt6d7cgOe4WNeffVVBg8eTK9evdh///0ZMmQIRxxxRGOHMzMzM2tWjf0nt0eSe9NaB+BFciuPAL8D/iLpJHL7YesUEa9KugB4gtw2gvnkthTU5h5yK5y1rXJeAPxR0kJgNR8PgbW5kdyzvA/0r6Pff5PbJrIwhedK4GMpLyLel3QEMF7SeGAtsBD4EXBVmmcRuZX5URHxgbJ/isR1QAkwP83/BnAkcBdwCLm95s+RfomJiP+kbR2Xp+0qRan+p2sY+wLgdknLgdnAnqn9V8CVkhaTWwm/kI+2sfwFKKvavtEYvXr1YsGCBY293czMzGyTUkRjdjIUhnKf2HFZRBxcb2drVpKmkPtZPFhf3/bFXaN45PiPtVWOO7zmzmZmZmYFJGleRPSt6Vqr+ZcDJY0F7gD+q9C1bM4kbS/pOXJvGq03NJuZmZm1FY3dqrHJRcQ4YFyh69jcRcQ7fPyTT8zMzMw2C60mOFvr1bNLJ8q9NcPMzMxauVazVcPMzMzMrJAcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswyKCl2AtX2Llq+gZOzUDeeV4w4vYDVmZmZmjeMVZzMzMzOzDByczczMzMwycHC2TW7p0qUMHjyY0tJSunfvzoQJEwpdkpmZmVm9HJybiaSfSXpa0kJJFZL6FaCGQZKmbOp561NUVMSll17Ks88+y+zZs7nyyit55plnCl2WmZmZWZ385sBmIKk/cATQOyI+kLQT8KkCl9ViFBcXU1xcDEDHjh0pLS1l+fLldOvWrcCVmZmZmdXOK87Noxh4MyI+AIiINyPiFUl9JD0iaZ6keyUVA0h6WNKvJc2R9Jykg1N7O0m/lTQ3rVx/N7WfLemGdNxT0mJJHeoqSNIFks7JO18sqSTN+/1q/X6cjs/Nm/vC1HaUpAeUU5zq/UxjX6jKykoWLFhAv36bfEHezMzMrEEcnJvHfcBnU6i8StKXJG0J/B44JiL6ADcAF+fdUxQRBwBnAuentjHAiojYH9gfOEXSnsB44AuSjgL+CHw3IlY3stZbgePyzr8F3C5pKNAVOAAoA/pIGhgRdwH/An4AXAucHxH/qj6opFMllUsqX796RY0Tr1q1imHDhjF+/Hi22267RpZvZmZmtml4q0YziIhVkvoABwODgduAXwE9gPslAbQDXs277c70fR5Qko6HAr0kHZPOOwFdI+IlSaOAhcAfImLWRtS6QFJnSbsCOwNvR8T/STojzb8gdd2WXJCeCfwQWAzMjojJtYw7EZgI0L64a1S/vnbtWoYNG8aIESM4+uijG1u+mZmZ2Sbj4NxMImI98DDwsKRF5FZon46I/rXc8kH6vp6Pfi4CfhgR99bQvyuwCti1qkHSvcAuQHlEnFyt/zo+/jcMW+Ud/xU4BvgMuRXoqrkviYg/1DB3F+BDYBdJW0TEh7U8U40igjFjxlBaWsrZZ5/dkFvNzMzMCsZbNZqBpL0ldc1rKgOeBXZObxxE0paSutcz1L3AaWmbB5L2krSNpE7ABGAg8OmqFemI+HJElNUQmgEqgd5pnN7AnnnXbgWOJxee/5o392hJ26Z7uqSV6SJy20NOSM/U4OQ7a9YsbrrpJmbMmEFZWRllZWVMmzatocOYmZmZbVJecW4e2wK/l7Q9uZXe/wecSm7rwuUp+BaR26v8dB3jXEdu28Z85fZ3vAEcCVwGXBURz0kaAzwkaWZEvF7t/iI+Wsm+A/i2pApgLvBcVaeIeFpSR2B5RLya2u6TVAo8kbaWrAJOBL4HPBoRj1aNJWlqRDyb9cUZMGAAEZ/YvWFmZmbWoskBpu2S9COgS0ScV8g62hd3jeKR4zecV447vHDFmJmZmdVB0ryI6FvTNa84t1GSrif3ZsRvFboWMzMzs7bAK87W7Pr27Rvl5eWFLsPMzMysXnWtOPvNgWZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4m5mZmZll4OBsZmZmZpaBg7OZmZmZWQYOzmZmZmZmGTg4W7NbtHwFJWOnFroMMzMzs43i4GxmZmZmloGDs5mZmZlZBg7OtkmNHj2azp0706NHj0KXYmZmZtYgDs6ApM9IulXSC5KekTRN0l6SSiQtbuSYgyRN2YiaJktaKOmsau1HSuqWd/6wpL4bMc/PJD2d5qqQ1C+1X1c1j6Sf5vVv9GsCMGrUKKZPn97Y283MzMwKpqjQBRSaJAF3AZMi4vjUVgbsAiwtUE2fAQ6KiD1quHwkMAV4pgnm6Q8cAfSOiA8k7QR8CiAiTs7r+lPgfzZ2PoCBAwdSWVnZFEOZmZmZbVJecYbBwNqIuKaqISIqIuLR/E6StpL0R0mLJC2QNDi1l0h6VNL89HVQ9Qkk7Z/u+VyWMYH7gM5pBfjgvP4HAd8AfpuufT5dOlbSHEnPVfWX1E7SbyXNTavJ363h2YuBNyPig/Tcb0bEK+n+hyX1lTQO2DrNd0u6r52ka9NK9X2Sts72UpuZmZm1Xg7O0AOYl6HfDwAioicwHJgkaSvgdWBIRPQGjgMuz78phd1rgG9GxIsZx/wG8EJElOUH+Ih4HLgHODddeyFdKoqIA4AzgfNT2xhgRUTsD+wPnCJpz2rz3wd8NgXuqyR9qfpDR8RY4P0034jU3BW4MiK6A+8Aw6rfJ+lUSeWSytevXlH9spmZmVmr4+Cc3QDgJoCI+CfwMrAXsCVwraRFwO1At7x7SoGJwNcj4v8aMGZD3Zm+zwNK0vFQ4NuSKoAngU+TC7wbRMQqoA9wKvAGcJukURnmeykiKmqYM3/siRHRNyL6tuvQqQGPYmZmZtYybfZ7nIGngWMy9FMt7WcBrwH7kvtFZE3etVeBrYD9gFcaMGZDfZC+r+ejn6mAH0bEvXXdGBHrgYeBh1P4HwncmHG+qjm9VcPMzMzaPK84wwygvaRTqhrSnuTq2xZmAiPS9b2A3YElQCfg1Yj4EDgJaJd3zzvA4cD/SBpUw9y1jVmXlUDHDM91L3CapC2rxpe0TX4HSXtLyl+FLiO36l3d2qpxNtbw4cPp378/S5YsYbfdduP6669vimHNzMzMmt1mv+IcESHpKGC8pLHkVowrye0XzncVcE1alV0HjEqfRHEVcIekY4GHgPeqjf+apK8D/5A0OiKezDBmXSXfSm5ryBnUvVJ+HbktFPPTJ4e8Qe4TOfJtC/xe0vZp/v9HbttGdROBhZLmAz+rq7j6TJ48eWNuNzMzMysYRUSha7A2rn1x1ygeOZ7KcYcXuhQzMzOzOkmaFxE1/hsZ3qphZmZmZpaBg7M1u55dOnm12czMzFo9B2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswwcnK3ZLVq+gpKxUwtdhpmZmdlGcXA2MzMzM8vAwdnMzMzMLAMHZ9ukRo8eTefOnenRo0ehSzEzMzNrEAfnApC0qoBz95RUkb7ekvRSOn5A0jckjW3O+UeNGsX06dObcwozMzOzZlFU6AKs+Ukqioh1ABGxCChL7TcCUyLir3nd72nOWgYOHEhlZWVzTmFmZmbWLLzi3EJIKpM0W9JCSXdJ2kFSZ0nz0vV9JYWk3dP5C5I6SNpZ0h2S5qavL6brF0iaKOk+4E8Zaxgl6Yp0vIekB1M9D+bNe6OkyyU9LulFScc0ywtiZmZm1sI4OLccfwJ+EhG9gEXA+RHxOrCVpO2Ag4Fy4GBJewCvR8RqYAJwWUTsDwwDrssbsw/wzYg4oRH1XAH8KdVzC3B53rViYABwBDCuEWObmZmZtTreqtECSOoEbB8Rj6SmScDt6fhx4IvAQOB/gK8AAh5N1w8DukmqGm47SR3T8T0R8X4jy+oPHJ2ObwJ+k3ftbxHxIfCMpF1qeaZTgVMB2m23cyNLMDMzM2s5HJxbvkfJrTbvAdwN/AQIYEq6vgXQv3pATkH6vSasI/KOP8ifqsbOEROBiQDti7tGTX3MzMzMWhNv1WgBImIF8Lakg1PTSUDV6vNM4ETg+bTK+xbwNWBWun4fcHrVWJLKmqisx4Hj0/EI4LGmGHT48OH079+fJUuWsNtuu3H99dc3xbBmZmZmzc4rzoXRQdKyvPP/BUYC10jqALwIfAcgIirT6vHM1PcxYLeIeDudnwFcKWkhuZ/nTOB7TVDjGcANks4F3qiqZ2NNnjy5KYYxMzMz2+QU4b9Ft+bVvrhrFI8cT+W4wwtdipmZmVmdJM2LiL41XfNWDTMzMzOzDByczczMzMwycHC2ZtezSydv0zAzM7NWz8HZzMzMzCwDB2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2czMzMzswwcnM3MzMzMMnBwNjMzMzPLwMHZzMzMzCwDB2drdouWr6Bk7NRCl2FmZma2URyczczMzMwycHA2MzMzM8vAwdk2qdGjR9O5c2d69OhR6FLMzMzMGsTBuQWRtKoAc66XVCFpsaS/S9o+te8q6a9NPd+oUaOYPn16Uw9rZmZm1uwcnDcjkopqaH4/IsoiogfwFvADgIh4JSKOaeoaBg4cyI477tjUw5qZmZk1OwfnFkjSIEkPS/qrpH9KukWS0rVKSRdKmi9pkaR9Uvs2km6QNFfSAknfTO2jJN0u6e/AffVM/QTQJd1XImlx3hh/SyvSL0k6XdLZaZ7ZkpyEzczMrM1zcG659gPOBLoBnwO+mHftzYjoDVwNnJPafgbMiIj9gcHAbyVtk671B0ZGxCG1TSapHXAocE8tXXoAJwAHABcDqyNiP3Jh+9s1jHeqpHJJ5etXr8jwuGZmZmYtm4NzyzUnIpZFxIdABVCSd+3O9H1eXvtQYKykCuBhYCtg93Tt/oh4q5Z5tk73/BvYEbi/ln4PRcTKiHgDWAH8PbUvqlYbABExMSL6RkTfdh061fqQZmZmZq2Fg3PL9UHe8XqgqIZr+e0ChqX9ymURsXtEPJuuvVfHPO9HRBmwB/Ap0h7neur5MO/8w2q1mZmZmbVJDs5tx73AD/P2Qu/XkJsjYgVwBnCOpC2boT4Ahg8fTv/+/VmyZAm77bYb119/fXNNZWZmZtakvFLYdvw3MB5YmMJzJXBEQwaIiAWSngKOBx5t6gIBJk+e3BzDmpmZmTU7RUSha7A2rn1x1ygeOZ7KcYcXuhQzMzOzOkmaFxF9a7rmrRpmZmZmZhk4OFuz69mlk1ebzczMrNVzcDYzMzMzy8DB2czMzMwsAwdnMzMzM7MMHJzNzMzMzDJwcDYzMzMzy8DB2czMzMwsAwdnMzMzM7MMHJzNzMzMzDJwcDYzMzMzy8DB2czMzMwsAwdnMzMzM7MMHJzNzMzMzDJwcDYzMzMzy8DB2ZrdouUrKBk7tdBlmJmZmW0UB2czMzMzswwcnM3MzMzMMnBwtk1q9OjRdO7cmR49ehS6FDMzM7MGcXBuIpLWS6rI+xpbT/+fbqK6Bkma0sh7z5TUIe98mqTtN6aeUaNGMX369I0ZwszMzOz/t3f/QVaV9x3H358ARQfFiPyYjRCxzopRoksldFaSHbREE21jK6JSU0XSUMegxgyZpjUTcTI2jI2Jsf7EQP0xdpWoadM6RSyCxGiU3+iKq45gqmFCKFUhw9BAvv3jPGuO6727Z+Fezu76ec3s3HOf85znfO+XZ5bvPve5u6Vw4Vw7uyOiKfc1v5v+FQtnZXrLv8tXgfcK54g4OyLePpABW1paGDZs2AGGZWZmZnbw9ZYCrV+SdISkdknj0vNWSV+WNB84NK1MPyBprKRNkm4H1gJjJN0habWkNknX58Y8W9LLkp6WdEvHarKkSZKekbQuPY6rEE/FPpIGSPqupBckbZR0paSrgI8ByyUtT/22SBqeji9JfTdIur/OqTQzMzMr3cCyA+hHDpW0Pvf8OxHxkKQ5wD2SfgAcGRF3A0iaExFN6XgsMA64LCKuSG3XRsQOSQOAZZJOBl4B7gJaImKzpNbc/V5O7XslTQX+AZjWKcZqfWYDxwIT0rlh6d5fA06PiO35QSSdBFwLTI6I7ZI+sIQsaXYalwFDR/QgjWZmZma9kwvn2tndUQjnRcQTkqYDtwGndHH9GxHx89zzC1LxORBoAE4ke4fg9YjYnPq0kopT4AjgXkmNQACDKtyjWp+pwJ0RsTfFvKOb13oG8HBHQV2pf0QsABYADG5ojG7GMzMzM+v1vFWjztJ+5U8Au4GuNvf+JnfNscBc4E8i4mTgMeAQQF1c/21geUSMB/4s9S/aR2SFdFE97W9mZmbW57lwrr9rgE3ADGCRpI5V3t/mjjsbSlZIvyNpFPD51P4y8IdpawfAhblrjgDeSsczq4xbrc9S4HJJAwFyWy92AodXGGcZ2Yr4UZ36d2vGjBk0NzfT3t7O6NGjWbhwYdFLzczMzErlrRq103mP8xJgEfDXwKSI2ClpJfBN4DqybQwbJa0l2y/8nojYIGkd0Aa8Dvwste+WdAWwRNJ24PncZTeSbcP4GvBklRir9fkhcHyK57fA3cCtKcb/lLQ1Ik7Pxdcm6QbgKUn7gHVUL9bfp7W1tftOZmZmZr2QIvyOe18i6bCI2CVJZPumX42I75cdV1cGNzRGw6U3s2X+OWWHYmZmZtYlSWsiYmKlc96q0fd8Oa1st5Ftvbir3HDMzMzMPhy84mx1N3HixFi9enXZYZiZmZl1yyvOZmZmZmYHyIWzmZmZmVkBLpzNzMzMzApw4WxmZmZmVoALZzMzMzOzAlw4m5mZmZkV4MLZzMzMzKwAF85mZmZmZgW4cDYzMzMzK8CFs5mZmZlZAS6czczMzMwKcOFsZmZmZlaAC2czMzMzswJcOJuZmZmZFeDC2eruhbfeYew3His7DDMzM7MD4sLZzMzMzKwAF852UM2aNYuRI0cyfvz4skMxMzMz65GDXjhLCkk35Z7PlTSvh2NMkXRa7vk9ks6vYZjV7jtP0luS1kt6VdKjkk6s9327iGempFtrPOblki6p5Zh5M2fOZMmSJfUa3szMzKxuylhx3gOcJ2n4/lwsaSAwBTitm65Fx5OknuTh+xHRFBGNwEPAk5JG1CKW3iAi7oyI++o1fktLC8OGDavX8GZmZmZ1U0bhvBdYAFzT+YSkYyQtk7QxPX48td8j6XuSlpMVq5cD16SV38+ky1skPSPp9fzqs6SvS1qVxrw+tY2VtEnS7cBa4DPp+d2S2iQtlXRody8kIh4ClgJ/mcY9VdJTktZIelxSQ2pfIenmFN+Lkial9iGSFqX41kk6N7XPTKvZS9LK9o2513OZpFckPQVMzrWPkPRIGmuVpMmpfV66x4qUm6ty11yS8rJB0v25/nPT8XEphjWSfirphNQ+Pb2ODZJWdpcnMzMzs/6grD3OtwEXSzqiU/utwH0RcTLwAHBL7tzxwNSImAbcye9Xfn+azjcAnwb+FJgPIOlMoBGYBDQBp0pqSf3HpXtNAN5I/W6LiJOAt4FpBV/LWuAESYOAfwLOj4hTgUXADbl+QyLiNOCKdA7gWuDJiPgUcDrwj5KGpHNNwIXAJ4ELJY1Jhfj1ZAXzZ4H8NpEfpJx8KsX+w9y5E4CzUh6ukzRI0knp/mdExCnA1RVe2wLgyvR65gK3p/ZvAWel675QME9mZmZmfdrAMm4aEe9Kug+4CtidO9UMnJeO7wduzJ37UUTs62LYf42I3wEvSRqV2s5MX+vS88PICuRfAG9ExM9z12+OiPXpeA0wtuDLUXocB4wHnpAEMADYmuvXChARKyUNlfTRFNsXOlZ4gUOAj6fjZRHxDoCkl4BjgOHAioj4dWp/iOwHCoCpwInp3gBDJR2ejh+LiD3AHknbgFHAGcDDEbE9xbXjfS9KOoxsO8yPcmMOTo8/A+6RtBh4tGJSpNnAbIABQ/vNThYzMzP7ECulcE5uJlut/ecu+kTu+DfdjLcnd6zc43ci4q58R0ljK4yXv34f0O1WjWQCsDrdqy0imqv0iwrPBUyLiPZO8f1xhXgG5q6r5CNAc0TkfxAhFb2VxlIXY3WM93ZENH3ghURcnmI8B1gvqSki/qdTnwVkK9YMbmjs6j5mZmZmfUJpv44urXAuBr6Ua34GuCgdXww8XeXyncDhVc7lPQ7MSqunSDpa0sj9i/iDJE0jWzVuBdqBEZKa07mO7RAdLkztnwbeSavJjwNXKlW3kiZ0c8vngCmSjkpbQ6bnzi0F5uRia+pmrGXABZKOSv3f94m9iHgX2CxpejovSaek4+Mi4rmI+BawHRjTzb3eM2PGDJqbm2lvb2f06NEsXLiw6KVmZmZmpSpzxRngJnLFHtnWjUWSvg78GrisynX/DjycPkx3ZbXBI2KppE8Az6badBfwRbJV1/11jaQvAkOAF8n2CHdsnTgfuCXt3R5Itqrelq77X0nPAEOBWant26nPxlQ8byHbo13t9WxV9qv7niXbBrKWbEsIZLm7TdLGdO+VZB+irDZWm6QbgKck7SPbzjKzU7eLgTskfRMYBDwIbCDbi91Itmq9LLUV0traWrSrmZmZWa+iCL+LXm+SVgBzI2J12bGUYXBDYzRcejNb5p9TdihmZmZmXZK0JiImVjrnvxxoZmZmZlZA2Vs1PhQiYkrZMZiZmZnZgfGKs9XdJ48+wts0zMzMrM9z4WxmZmZmVoALZzMzMzOzAlw4m5mZmZkV4MLZzMzMzKwAF85mZmZmZgW4cDYzMzMzK8B/OdDqTtJOoL3sOPqx4cD2soPox5zf+nFu68v5rS/nt37Kzu0xETGi0gn/ARQ7GNqr/elKO3CSVju/9eP81o9zW1/Ob305v/XTm3PrrRpmZmZmZgW4cDYzMzMzK8CFsx0MC8oOoJ9zfuvL+a0f57a+nN/6cn7rp9fm1h8ONDMzMzMrwCvOZmZmZmYFuHA2MzMzMyvAhbPVlaTPSWqX9Jqkb5QdT18naYukFyStl7Q6tQ2T9ISkV9PjkWXH2VdIWiRpm6QXc21V8ynp79Jcbpd0VjlR9x1V8jtP0ltpDq+XdHbunPNbkKQxkpZL2iSpTdLVqd3ztwa6yK/nbw1IOkTS85I2pPxen9p7/fz1HmerG0kDgFeAzwJvAquAGRHxUqmB9WGStgATI2J7ru1GYEdEzE8/nBwZEX9bVox9iaQWYBdwX0SMT20V8ynpRKAVmAR8DPgv4PiI2FdS+L1elfzOA3ZFxHc79XV+e0BSA9AQEWslHQ6sAf4cmInn7wHrIr8X4Pl7wCQJGBIRuyQNAp4GrgbOo5fPX684Wz1NAl6LiNcj4v+AB4FzS46pPzoXuDcd30v2zd0KiIiVwI5OzdXyeS7wYETsiYjNwGtkc9yqqJLfapzfHoiIrRGxNh3vBDYBR+P5WxNd5Lca57cHIrMrPR2UvoI+MH9dOFs9HQ38d+75m3T9jce6F8BSSWskzU5toyJiK2Tf7IGRpUXXP1TLp+dz7cyRtDFt5eh4K9b53U+SxgITgOfw/K25TvkFz9+akDRA0npgG/BERPSJ+evC2epJFdq8N+jATI6IPwI+D3wlvRVuB4fnc23cARwHNAFbgZtSu/O7HyQdBjwCfDUi3u2qa4U257cbFfLr+VsjEbEvIpqA0cAkSeO76N5r8uvC2erpTWBM7vlo4JclxdIvRMQv0+M24Mdkb1X9Ku3H69iXt628CPuFavn0fK6BiPhV+g/zd8Dd/P7tVue3h9Le0EeAByLi0dTs+VsjlfLr+Vt7EfE2sAL4HH1g/rpwtnpaBTRKOlbSHwAXAT8pOaY+S9KQ9CEVJA0BzgReJMvppanbpcC/lRNhv1Etnz8BLpI0WNKxQCPwfAnx9Wkd/ykmf0E2h8H57ZH04aqFwKaI+F7ulOdvDVTLr+dvbUgaIemj6fhQYCrwMn1g/g4s46b24RAReyXNAR4HBgCLIqKt5LD6slHAj7Pv5wwE/iUilkhaBSyW9CXgF8D0EmPsUyS1AlOA4ZLeBK4D5lMhnxHRJmkx8BKwF/iKPzHftSr5nSKpiext1i3A34Dzux8mA38FvJD2iQL8PZ6/tVItvzM8f2uiAbg3/fatjwCLI+I/JD1LL5+//nV0ZmZmZmYFeKuGmZmZmVkBLpzNzMzMzApw4WxmZmZmVoALZzMzMzOzAlw4m5mZmZkV4MLZzMzMzKwAF85mZmZmZgX8P3s/jntBf3KkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "regionData = pd.Series(index=sort_by_val(swPlanets,'region')[0], data=sort_by_val(swPlanets,'region')[1]).sort_values()\n",
    "ax = regionData.plot(kind='barh', figsize=(10,12))\n",
    "ax.set_title('Which region was the most inhabited?')\n",
    "\n",
    "for i in range(len(regionData.index)):\n",
    "    ax.text(regionData[i], i, regionData[i], va='center')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e507dd95",
   "metadata": {},
   "source": [
    "As we can see, the most inhabited region is the **Outer Rim Territories**. This region descibes planets situated far away from the center of the Star Wars Galaxy, and from jurisdiction of most known governments. The most popular planet in Outer Rim region is **Tatooine**. The planet, where it all started.\n",
    "\n",
    "Where exactly are those regions located? How much area do they cover?\n",
    "\n",
    "To answer those questions we need to move forward to the core element of this analysis.\n",
    "\n",
    "We need to create the **Galaxy Map**.\n",
    "\n",
    "In order to do this I will star with creating **coordinates dataframe**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d5ffaca5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Abelor          [K-17]\n",
       "Abregado-rae    [K-13]\n",
       "Agamar           [M-5]\n",
       "Alaris           [P-9]\n",
       "Alderaan        [M-10]\n",
       "Name: coord, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "swPlanets[swPlanets['coord']!='']['coord'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6100e95",
   "metadata": {},
   "source": [
    "Data stored in 'coord' column consist of two elements - **letter from the alphabet** and **number**. We need to extract coordinate value, split it into **two separate values** (alphabet letter - 'X' column, and number - 'Y' column), and write down as two separate columns. We will also need joined coordinate value to filter duplicates later on.\n",
    "\n",
    "Knowing what data I will need in the next subsections of this chapter I will add **'Region'**, **'Affiliation'** and **'Routes'** columns as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "393a3c73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Coordinates</th>\n",
       "      <th>Region</th>\n",
       "      <th>Affiliation</th>\n",
       "      <th>Routes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>K</td>\n",
       "      <td>17</td>\n",
       "      <td>K-17</td>\n",
       "      <td>Mid Rim Territories</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>K</td>\n",
       "      <td>13</td>\n",
       "      <td>K-13</td>\n",
       "      <td>Core Worlds</td>\n",
       "      <td></td>\n",
       "      <td>[Rimma Trade Route]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "      <td>M-5</td>\n",
       "      <td>Outer Rim Territories</td>\n",
       "      <td>[Confederacy of Independent Systems]</td>\n",
       "      <td>[Braxant Run]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>P</td>\n",
       "      <td>9</td>\n",
       "      <td>P-9</td>\n",
       "      <td>Mid Rim Territories</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M</td>\n",
       "      <td>10</td>\n",
       "      <td>M-10</td>\n",
       "      <td>Core Worlds</td>\n",
       "      <td>[Elder Houses, House of Organa, Galactic Repub...</td>\n",
       "      <td>[Commenor Run]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   X   Y Coordinates                 Region  \\\n",
       "0  K  17        K-17    Mid Rim Territories   \n",
       "1  K  13        K-13            Core Worlds   \n",
       "2  M   5         M-5  Outer Rim Territories   \n",
       "3  P   9         P-9    Mid Rim Territories   \n",
       "4  M  10        M-10            Core Worlds   \n",
       "\n",
       "                                         Affiliation               Routes  \n",
       "0                                                                          \n",
       "1                                                     [Rimma Trade Route]  \n",
       "2               [Confederacy of Independent Systems]        [Braxant Run]  \n",
       "3                                                                          \n",
       "4  [Elder Houses, House of Organa, Galactic Repub...       [Commenor Run]  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#filtering only those planets which have coordinates data\n",
    "coordPlanets = swPlanets[swPlanets['coord']!='']\n",
    "coordX = []\n",
    "coordY = []\n",
    "coord = []\n",
    "reg = []\n",
    "aff = []\n",
    "rt = []\n",
    "#appending coordinates data\n",
    "for i in coordPlanets['coord']:\n",
    "    for j in i:\n",
    "        coordX.append(j.split('-')[0].strip())\n",
    "        coordY.append(int(j.split('-')[1]))\n",
    "        coord.append(j.strip())\n",
    "#apppending region data\n",
    "for k in coordPlanets['region']:\n",
    "    if k[0].lower() in ['deep core', 'core worlds', 'inner rim territories', 'mid rim territories', 'outer rim territories']:\n",
    "        reg.append(k[0].strip())\n",
    "    else:\n",
    "        reg.append('Other')\n",
    "#appending affiliation data\n",
    "for l in coordPlanets['affiliation']:\n",
    "    aff.append(l)\n",
    "#appending routes data\n",
    "for m in coordPlanets['routes']:\n",
    "    rt.append(m)\n",
    "coordData = {'X':coordX, 'Y':coordY, 'Coordinates':coord, 'Region':reg, 'Affiliation':aff, 'Routes':rt}\n",
    "coordinates = pd.DataFrame(data=coordData)\n",
    "coordinates.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b1b7d8b",
   "metadata": {},
   "source": [
    "This is our core table for all map plots that will appear later on.\n",
    "\n",
    "We need to make some data processing though. While Y coordinate is easy to plot (since it's numerical value), X coordinate not so much. We need to convert alphabet letters from X column to corresponding numerical values (1 for A, 2 for B and so on). Let's list all unique values in X column first."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d7893500",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['K', 'M', 'P', 'L', 'O', 'R', 'Q', 'I', 'N', 'U', 'G', 'J', 'S',\n",
       "       'H', 'F', 'T', 'Т'], dtype=object)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coordinates['X'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81b67a3f",
   "metadata": {},
   "source": [
    "Wait a minute. Something is not right.\n",
    "\n",
    "Did you notice that as well?\n",
    "\n",
    "While listing **unique values**, list somehow contains two representations of **T** value.\n",
    "\n",
    "Let's take a closer look into the encoding of those strings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ca00fc3a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First T string encoding: b'\\xd0\\xa2'\n",
      "Second T string encoding: b'T'\n",
      "First T (ASCII): '\\u0422'\n",
      "Second T (ASCII): 'T'\n"
     ]
    }
   ],
   "source": [
    "first_T = list(coordinates['X'].unique())[-1]\n",
    "second_T = list(coordinates['X'].unique())[-2]\n",
    "\n",
    "print('''First T string encoding: {}\n",
    "Second T string encoding: {}\n",
    "First T (ASCII): {}\n",
    "Second T (ASCII): {}'''.format(first_T.encode(),second_T.encode(),ascii(first_T),ascii(second_T)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f599f66",
   "metadata": {},
   "source": [
    "As we can see, the **utf-8 encoding** as well as the **ASCII** values of those strings differ. That means that First T is not equal to second T.\n",
    "\n",
    "After long and detailed research I found out that I was tricked. If you check in this <a href=\"http://www.unicode.org/Public/security/latest/confusables.txt\">unicode symbols list</a> you will find out, that **0422** describes:\n",
    "\n",
    "<blockquote>( Т → T ) CYRILLIC CAPITAL LETTER TE → LATIN CAPITAL LETTER T</blockquote>\n",
    "\n",
    "In other terms - this string **looks like T, but it's not our T**. It's simply just a different string.\n",
    "\n",
    "I will manually convert this single value to 'T' string, so we can continue with our analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2657d506",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Coordinates</th>\n",
       "      <th>Region</th>\n",
       "      <th>Affiliation</th>\n",
       "      <th>Routes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>Т</td>\n",
       "      <td>12</td>\n",
       "      <td>Т-12</td>\n",
       "      <td>Outer Rim Territories</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     X   Y Coordinates                 Region Affiliation Routes\n",
       "237  Т  12        Т-12  Outer Rim Territories                   "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coordinates[coordinates['X']==first_T]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8d8e14c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "coordinates.at[237,'X']='T'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86553edc",
   "metadata": {},
   "source": [
    "Now we are all set to define a dictionary, that will **assign a number to every alphabet letter**. We will apply this dictionary to 'X' column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0103913b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#creating aplhabet-to-number dictionary\n",
    "coordIN = 'A B C D E F G H I J K L M N O P Q R S T U V W X Y Z'.split()\n",
    "coordOUT = 1\n",
    "coordDict = {}\n",
    "for i in coordIN:\n",
    "    coordDict[i]=coordOUT\n",
    "    coordOUT+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5493851a",
   "metadata": {},
   "outputs": [],
   "source": [
    "coordinates['X'] = coordinates['X'].apply(lambda i: coordDict[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "dbf7f478",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Coordinates</th>\n",
       "      <th>Region</th>\n",
       "      <th>Affiliation</th>\n",
       "      <th>Routes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>K-17</td>\n",
       "      <td>Mid Rim Territories</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>K-13</td>\n",
       "      <td>Core Worlds</td>\n",
       "      <td></td>\n",
       "      <td>[Rimma Trade Route]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>M-5</td>\n",
       "      <td>Outer Rim Territories</td>\n",
       "      <td>[Confederacy of Independent Systems]</td>\n",
       "      <td>[Braxant Run]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16</td>\n",
       "      <td>9</td>\n",
       "      <td>P-9</td>\n",
       "      <td>Mid Rim Territories</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>M-10</td>\n",
       "      <td>Core Worlds</td>\n",
       "      <td>[Elder Houses, House of Organa, Galactic Repub...</td>\n",
       "      <td>[Commenor Run]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    X   Y Coordinates                 Region  \\\n",
       "0  11  17        K-17    Mid Rim Territories   \n",
       "1  11  13        K-13            Core Worlds   \n",
       "2  13   5         M-5  Outer Rim Territories   \n",
       "3  16   9         P-9    Mid Rim Territories   \n",
       "4  13  10        M-10            Core Worlds   \n",
       "\n",
       "                                         Affiliation               Routes  \n",
       "0                                                                          \n",
       "1                                                     [Rimma Trade Route]  \n",
       "2               [Confederacy of Independent Systems]        [Braxant Run]  \n",
       "3                                                                          \n",
       "4  [Elder Houses, House of Organa, Galactic Repub...       [Commenor Run]  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coordinates.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62faede1",
   "metadata": {},
   "source": [
    "Perfect. There is still one thing that we have to change in this table. \n",
    "\n",
    "Coordinates tells us about specific sector of the Star Wars Galaxy. But there could be multiple planets in one sector. In other words - we have dupliactes in our 'Coordinates' column.\n",
    "\n",
    "We need to **count duplicates** for every coordinate and write them down in **'NumberOfPlanets' column** that we will create. This will tell us how many planets are located in every sector. After that we will **get rid of the duplicates** based on 'Coordinates' column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f89a159a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Coordinates</th>\n",
       "      <th>NumberOfPlanets</th>\n",
       "      <th>Region</th>\n",
       "      <th>Affiliation</th>\n",
       "      <th>Routes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>K-17</td>\n",
       "      <td>1</td>\n",
       "      <td>Mid Rim Territories</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>K-13</td>\n",
       "      <td>1</td>\n",
       "      <td>Core Worlds</td>\n",
       "      <td></td>\n",
       "      <td>[Rimma Trade Route]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>M-5</td>\n",
       "      <td>1</td>\n",
       "      <td>Outer Rim Territories</td>\n",
       "      <td>[Confederacy of Independent Systems]</td>\n",
       "      <td>[Braxant Run]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16</td>\n",
       "      <td>9</td>\n",
       "      <td>P-9</td>\n",
       "      <td>3</td>\n",
       "      <td>Mid Rim Territories</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>M-10</td>\n",
       "      <td>4</td>\n",
       "      <td>Core Worlds</td>\n",
       "      <td>[Elder Houses, House of Organa, Galactic Repub...</td>\n",
       "      <td>[Commenor Run]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    X   Y Coordinates  NumberOfPlanets                 Region  \\\n",
       "0  11  17        K-17                1    Mid Rim Territories   \n",
       "1  11  13        K-13                1            Core Worlds   \n",
       "2  13   5         M-5                1  Outer Rim Territories   \n",
       "3  16   9         P-9                3    Mid Rim Territories   \n",
       "4  13  10        M-10                4            Core Worlds   \n",
       "\n",
       "                                         Affiliation               Routes  \n",
       "0                                                                          \n",
       "1                                                     [Rimma Trade Route]  \n",
       "2               [Confederacy of Independent Systems]        [Braxant Run]  \n",
       "3                                                                          \n",
       "4  [Elder Houses, House of Organa, Galactic Repub...       [Commenor Run]  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#counting planets for each coordinates\n",
    "coordinates.insert(loc=3, column='NumberOfPlanets', value=[coordinates['Coordinates'].value_counts().loc[i] for i in coordinates['Coordinates']])\n",
    "coordinates = coordinates.drop_duplicates(subset='Coordinates')\n",
    "coordinates.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1abae99b",
   "metadata": {},
   "source": [
    "The only thing left to do before plotting Galaxy Map is setting X and Y ranges. Let's check some characteristics of 'X' and 'Y' columns:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ea0d7077",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Y max: 21\n",
      "Y lenght (unique): 19\n",
      "X max: 21\n",
      "X lenght (unique): 16\n"
     ]
    }
   ],
   "source": [
    "ymax = coordinates['Y'].max()\n",
    "ylen = len(coordinates['Y'].unique())\n",
    "xmax = coordinates['X'].max()\n",
    "xlen = len(coordinates['X'].unique())\n",
    "\n",
    "print('''Y max: {}\n",
    "Y lenght (unique): {}\n",
    "X max: {}\n",
    "X lenght (unique): {}'''.format(ymax,ylen,xmax,xlen))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e32ad288",
   "metadata": {},
   "source": [
    "Maximal value for both columns is 21. But since we already know the default range of the X column (lenght of the alphabet, from which the X values come), we will plot our map in 1-26 range for both axes.\n",
    "\n",
    "Now we can finally plot out Galaxy Map.\n",
    "\n",
    "This will be the bubble chart. X and Y positions will place our sectors in their locations, and the size of the bubble will tell us about number of planets that are contained in those sectors.\n",
    "\n",
    "I will also divide our map into the key, basic regions (marked as different colors):\n",
    "- Deep Core\n",
    "- Core Worlds\n",
    "- Inner Rim Territories\n",
    "- Mid Rim Territories\n",
    "- Outer Rim Territories\n",
    "- Other\n",
    "\n",
    "This division is not only the most basic in Star Wars universe - it is also based on the distance from the core of the galaxy. This way we can see another data about sector location and evaluate it's compliance with the theory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d67e577f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color = {'Deep Core':'firebrick','Core Worlds':'darkorange','Inner Rim Territories':'gold',\n",
    "         'Mid Rim Territories':'yellowgreen','Outer Rim Territories':'deepskyblue','Other':'dimgray'}\n",
    "\n",
    "plt.figure(figsize=(12,12))\n",
    "ax = sns.scatterplot(data=coordinates, x='X', y='Y', size='NumberOfPlanets', hue='Region', hue_order=color.keys(), \n",
    "                     palette=color, sizes=(50,500))\n",
    "ax.legend(fontsize = 15, bbox_to_anchor= (1.35, 1), shadow = True)\n",
    "ax.set_ylim(1,26)\n",
    "ax.set_xlim(1,26)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01d695c3",
   "metadata": {},
   "source": [
    "Success!\n",
    "\n",
    "You are looking at the **Star Wars Galaxy Map**.  \n",
    "We've managed to map every single planet that had information about it's coordinates. As we can see, there are coordinates (especially in Outer Rim Territories and Core Worlds) containing larger amount of planets.\n",
    "\n",
    "We have also succesfully mapped desired regions. And they definitely fit their description:\n",
    "- **Deep Core** is close to the center of the Galaxy\n",
    "- We can clearly distinguish sectors that are part of the **Core Worlds**, **Inner Rim**, **Mid Rim** and **Outer Rim**\n",
    "- Those territories do in fact differ from each other in terms of their **distance from the core of the Galaxy**\n",
    "\n",
    "So far so good! Now let's take a look at planets affiliation."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "798898c5",
   "metadata": {},
   "source": [
    "## 3.2. Affiliation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25abc6ce",
   "metadata": {},
   "source": [
    "Following the same steps as before, we will take a closer look at planets affiliation.\n",
    "\n",
    "Because there are lots of factions that ruled over Star Wars planets, I've decided to show only those which ruled over more than one planet. So let's filter out those less relevant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9c058bf3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "affData = pd.Series(index=sort_by_val(swPlanets,'affiliation')[0], data=sort_by_val(swPlanets,'affiliation')[1]).sort_values()\n",
    "relevantAffData = affData[affData>1]\n",
    "ax = relevantAffData.plot(kind='barh', figsize=(10,20))\n",
    "ax.set_title('Who controlled most planets?')\n",
    "\n",
    "for i in range(len(relevantAffData.index)):\n",
    "    ax.text(relevantAffData[i], i, relevantAffData[i], va='center')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ba30be8",
   "metadata": {},
   "source": [
    "As it turns out, the **Galactic Empire** was the biggest of them all. They controlled the largest amount of planets.\n",
    "\n",
    "The factions that I decided to show on maps are not necessarily the biggest ones though. Since we have 3 main Star Wars trilogies, and in every trilogy we have a conflict between two opposite factions, I want to show those pairs on the maps, and check how big their teritory was.\n",
    "\n",
    "- <u>First Trilogy (Episode 1-3)</u>:\n",
    "  - **Galactic Republic** vs **Confederacy of Independent Systems**\n",
    "- <u>Second Trilogy (Episode 4-6)</u>:\n",
    "  - **Galactic Empire** vs **Alliance to Restore the Republic (Rebel Alliance)**\n",
    "- <u>Third Trilogy (Episode 7-9)</u>:\n",
    "  - **First Order** vs **Resistance**\n",
    "\n",
    "First I will need to create **6 corresponding dataframes** based on coordinates dataframe, but containing only those rows that include specific factions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6ffe8aa8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#creating data frames for each chosen faction\n",
    "republicTeritory = cisTeritory = empireTeritory = rebelTeritory = firstOrderTeritory = resistanceTeritory = coordinates\n",
    "\n",
    "for i in coordinates.index:\n",
    "    if 'galactic republic' not in [j.lower() for j in coordinates.loc[i]['Affiliation']]:\n",
    "        republicTeritory = republicTeritory.drop(i, axis=0)\n",
    "    if 'confederacy of independent systems' not in [j.lower() for j in coordinates.loc[i]['Affiliation']]:\n",
    "        cisTeritory = cisTeritory.drop(i, axis=0)\n",
    "    if 'galactic empire' not in [j.lower() for j in coordinates.loc[i]['Affiliation']]:\n",
    "        empireTeritory = empireTeritory.drop(i, axis=0)\n",
    "    if 'alliance to restore the republic' not in [j.lower() for j in coordinates.loc[i]['Affiliation']]:\n",
    "        rebelTeritory = rebelTeritory.drop(i, axis=0)\n",
    "    if 'resistance' not in [j.lower() for j in coordinates.loc[i]['Affiliation']]:\n",
    "        resistanceTeritory = resistanceTeritory.drop(i, axis=0)\n",
    "    if 'first order' not in [j.lower() for j in coordinates.loc[i]['Affiliation']]:\n",
    "        firstOrderTeritory = firstOrderTeritory.drop(i, axis=0)\n",
    "\n",
    "terList = [republicTeritory, cisTeritory, empireTeritory, rebelTeritory, firstOrderTeritory, resistanceTeritory]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bf1d2ef",
   "metadata": {},
   "source": [
    "Now we can make a loop plotting our factions, including the annotation about overall number of planets within their \"rule\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a0c8af23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x2160 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(6, figsize=(20,30))\n",
    "labels = ['Galactic Republic', 'Confederacy of Independent Systems',\n",
    "         'Galactic Empire', 'Alliance to Restore the Republic',\n",
    "         'First Order', 'Resistance']\n",
    "pos = 1\n",
    "i = 0\n",
    "\n",
    "for label, ter in zip(labels,terList):\n",
    "    axs[i] = plt.subplot(3,2,pos)\n",
    "    ax = sns.scatterplot(data=ter, x='X', y='Y', size='NumberOfPlanets', hue='Region', \n",
    "                         hue_order=color.keys(), palette=color, sizes=(50,500), legend=False)\n",
    "    ax.set_ylim(1,26)\n",
    "    ax.set_xlim(1,26)\n",
    "    ax.set_title(label, size=20)\n",
    "    ax.add_artist(AnchoredText('Number of planets: {}'.format(ter['NumberOfPlanets'].sum()),loc=2, prop=dict(size=15)))\n",
    "    pos+=1\n",
    "    i+=1\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba2778cc",
   "metadata": {},
   "source": [
    "Some of the planets can appear multiple times, because throughout the time they changed affiliation. It is the most visible between **Galactic Republic** and **Galactic Empire** (which makes perfect sense - Galactic Republic transformed itself into Galactic Empire). It is also quite noticable between **Galactic Republic** and **Confederacy of Independent Systems** - throughout the war between those two factions (The Clone Wars) some planets changed their affiliation.\n",
    "\n",
    "The least spectacular territories are **First Order** and **Resistance**. This is very specific situation, because there was actually third party involved as well - **The New Republic**. It remained basically neutral though, unless it was too late (First Order destroyed Star System with New Republic government - Hosnian Prime - paralysing all member planets which didn't help Resistence untill the very last moment). The Resistance was alienated in their fight agains First Order, which was a struggle taking into consideration how few of them there were. It was very similar with the **Rebel Alliance** against the **Empire**. This charts reflects prety well the disproportions between those factions."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b80fc90c",
   "metadata": {},
   "source": [
    "## 3.3. Trade routes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e24410e",
   "metadata": {},
   "source": [
    "Weirdly enough there are trade routes in our Coordinates dataframe which includes only one planet. There are several reasons behind this. First of all we need to remember that Coordinates dataframe is incomplete - it contains only those planets, which have information about coordinates. Secondly - we don't have full information. Sometimes the planet that exist on wiki site was only mentioned once in some book with annotation, that through this system runs certain trade route (which could be mentioned only once as well).\n",
    "\n",
    "This is why we will plot only routes with two or more planets, to have list of more complete (and relevant) data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f767cb08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rtData = pd.Series(index=sort_by_val(swPlanets,'routes')[0], data=sort_by_val(swPlanets,'routes')[1]).sort_values()\n",
    "relevantRtData = rtData[rtData>1]\n",
    "ax = relevantRtData.plot(kind='barh', figsize=(10,12))\n",
    "ax.set_title('Space routes by number of connected planets')\n",
    "\n",
    "for i in range(len(relevantRtData.index)):\n",
    "    ax.text(relevantRtData[i], i, relevantRtData[i], va='center')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ebbe8f5",
   "metadata": {},
   "source": [
    "In order to keep thins plain and simple we will focus only on the four biggest trade routes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d71e52fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Corellian Trade Spine    21\n",
       "Perlemian Trade Route    13\n",
       "Hydian Way               12\n",
       "Rimma Trade Route        10\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rtData.sort_values(ascending=False)[0:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3e06c5ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "#creating dataframes for chosen trade routes\n",
    "cts = ptr = hw = rtr = coordinates.sort_values('Y')\n",
    "\n",
    "for i in coordinates.index:\n",
    "    if 'corellian trade spine' not in [j.lower() for j in coordinates.loc[i]['Routes']]:\n",
    "        cts = cts.drop(i, axis=0)\n",
    "    if 'perlemian trade route' not in [j.lower() for j in coordinates.loc[i]['Routes']]:\n",
    "        ptr = ptr.drop(i, axis=0)\n",
    "    if 'hydian way' not in [j.lower() for j in coordinates.loc[i]['Routes']]:\n",
    "        hw = hw.drop(i, axis=0)\n",
    "    if 'rimma trade route' not in [j.lower() for j in coordinates.loc[i]['Routes']]:\n",
    "        rtr = rtr.drop(i, axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80d5af61",
   "metadata": {},
   "source": [
    "This time we will connect our sectors (scatter points) to better visualise trade routes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "552d7a9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(4, figsize=(20,20))\n",
    "rtLabels = ['Corellian Trade Spine', 'Perlemian Trade Route', 'Hydian Way', 'Rimma Trade Route']\n",
    "rtList = [cts,ptr,hw,rtr]\n",
    "pos = 1\n",
    "i = 0\n",
    "for label, rt in zip(rtLabels,rtList):\n",
    "    axs[i] = plt.subplot(2,2,pos)\n",
    "    ax = sns.scatterplot(data=rt, x='X', y='Y', size='NumberOfPlanets', hue='Region', \n",
    "                         hue_order=color.keys(), palette=color, sizes=(50,500), legend=False)\n",
    "    ax.set_ylim(1,26)\n",
    "    ax.set_xlim(1,26)\n",
    "    ax.set_title(label, size=20)\n",
    "    ax.add_artist(AnchoredText('Number of planets: {}'.format(rt['NumberOfPlanets'].sum()),loc=2, prop=dict(size=15)))\n",
    "    plt.plot(rt['X'], rt['Y'])\n",
    "    pos+=1\n",
    "    i+=1\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "415d6db4",
   "metadata": {},
   "source": [
    "Excellent. Looks a bit like star constellations.\n",
    "\n",
    "The only thing left to do is to move those trade routes to our Galaxy Map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "94874cc8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,12))\n",
    "ax = sns.scatterplot(data=coordinates, x='X', y='Y', size='NumberOfPlanets', hue='Region', hue_order=color.keys(), \n",
    "                     palette=color, sizes=(50,500))\n",
    "\n",
    "for label, rt in zip(rtLabels,rtList):\n",
    "    plt.plot(rt['X'], rt['Y'], label = label)\n",
    "\n",
    "ax.legend(fontsize = 15, bbox_to_anchor= (1.35, 1), shadow = True)\n",
    "ax.set_ylim(1,26)\n",
    "ax.set_xlim(1,26)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6ecc69f",
   "metadata": {},
   "source": [
    "Interesting thing that we can conclude from this map is how significant was to **communicate Outer Rim Territories to the center part of the Galaxy**. Planets from the Outer Rims were often less developed technologically than planets from central parts (Core Worlds, Inner Rim), but on the other side they seemed new, unknown and exotic for them. Maintaining trade connections between those regions were usually mutually beneficial in terms of both goods and technolodgy/knowledge. "
   ]
  },
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   "source": [
    "## 4. Summary"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c848a319",
   "metadata": {},
   "source": [
    "As it turned out the data stored in Star Wars Planets data set scraped from wookieepedia site has much greater potential that I initially assumed. It gives us vast possibilities to present information stored in it, including spatial visualisation. For Star Wars fans it can be appealing in terms of possibilities to expand knowledge about beloved universe. For others - it could arouse interest in this topic, seeing how much more there is to this universe besides popular Star Wars movies.\n",
    "\n",
    "Is this topic fully depleated? I don't think so. The analysis I conducetd in this topic as well as in my <a href=\"https://github.com/twerhun/DataAnalysis_Planets/blob/master/Planets_Part1.ipynb\">Planet Data Analysis</a> shows the potential in Star Wars planets data. Keep also in mind that this universe is not dead - every now and then we get the new content - new planets, new information.\n",
    "\n",
    "I hope to return to this topic one day, but perhaps looking at it from the entirely different angle.\n",
    "\n",
    "Until then I will focus on improving my data analysis and visualisation skills further.  \n",
    "There are so many interesting topics to analyse after all..."
   ]
  }
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