DataCamp.Project_003_GooglePlay.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **The Android App Market on Google Play**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **1. Google Play Store apps and reviews**\n",
    "\n",
    "Mobile apps are everywhere. They are easy to create and can be lucrative. Because of these two factors, more and more apps are being developed. In this notebook, we will do a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories. We'll look for insights in the data to devise strategies to drive growth and retention.\n",
    "\n",
    "![Google](datasets/Google.PNG)\n",
    "\n",
    "Let's take a look at the data, which consists of two files:\n",
    "\n",
    "- `apps.csv`: contains all the details of the applications on Google Play. There are 13 features that describe a given app.\n",
    "- `user_reviews.csv`: contains 100 reviews for each app, most helpful first. The text in each review has been pre-processed and attributed with three new features: Sentiment (Positive, Negative or Neutral), Sentiment Polarity and Sentiment Subjectivity.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of apps in the dataset =                                                    Unnamed: 0  Category  \\\n",
      "App                                                                      \n",
      "\"i DT\" Fútbol. Todos Somos Técnicos.                       1         1   \n",
      "+Download 4 Instagram Twitter                              1         1   \n",
      "- Free Comics - Comic Apps                                 1         1   \n",
      ".R                                                         1         1   \n",
      "/u/app                                                     1         1   \n",
      "...                                                      ...       ...   \n",
      "뽕티비 - 개인방송, 인터넷방송, BJ방송                                    1         1   \n",
      "💎 I'm rich                                                 1         1   \n",
      "💘 WhatsLov: Smileys of love, stickers and GIF              1         1   \n",
      "📏 Smart Ruler ↔️ cm/inch measuring for homework!           1         1   \n",
      "🔥 Football Wallpapers 4K | Full HD Backgrounds 😍           1         1   \n",
      "\n",
      "                                                  Rating  Reviews  Size  \\\n",
      "App                                                                       \n",
      "\"i DT\" Fútbol. Todos Somos Técnicos.                   0        1     1   \n",
      "+Download 4 Instagram Twitter                          1        1     1   \n",
      "- Free Comics - Comic Apps                             1        1     1   \n",
      ".R                                                     1        1     1   \n",
      "/u/app                                                 1        1     1   \n",
      "...                                                  ...      ...   ...   \n",
      "뽕티비 - 개인방송, 인터넷방송, BJ방송                                0        1     1   \n",
      "💎 I'm rich                                             1        1     1   \n",
      "💘 WhatsLov: Smileys of love, stickers and GIF          1        1     1   \n",
      "📏 Smart Ruler ↔️ cm/inch measuring for homework!       1        1     1   \n",
      "🔥 Football Wallpapers 4K | Full HD Backgrounds 😍       1        1     1   \n",
      "\n",
      "                                                  Installs  Type  Price  \\\n",
      "App                                                                       \n",
      "\"i DT\" Fútbol. Todos Somos Técnicos.                     1     1      1   \n",
      "+Download 4 Instagram Twitter                            1     1      1   \n",
      "- Free Comics - Comic Apps                               1     1      1   \n",
      ".R                                                       1     1      1   \n",
      "/u/app                                                   1     1      1   \n",
      "...                                                    ...   ...    ...   \n",
      "뽕티비 - 개인방송, 인터넷방송, BJ방송                                  1     1      1   \n",
      "💎 I'm rich                                               1     1      1   \n",
      "💘 WhatsLov: Smileys of love, stickers and GIF            1     1      1   \n",
      "📏 Smart Ruler ↔️ cm/inch measuring for homework!         1     1      1   \n",
      "🔥 Football Wallpapers 4K | Full HD Backgrounds 😍         1     1      1   \n",
      "\n",
      "                                                  Content Rating  Genres  \\\n",
      "App                                                                        \n",
      "\"i DT\" Fútbol. Todos Somos Técnicos.                           1       1   \n",
      "+Download 4 Instagram Twitter                                  1       1   \n",
      "- Free Comics - Comic Apps                                     1       1   \n",
      ".R                                                             1       1   \n",
      "/u/app                                                         1       1   \n",
      "...                                                          ...     ...   \n",
      "뽕티비 - 개인방송, 인터넷방송, BJ방송                                        1       1   \n",
      "💎 I'm rich                                                     1       1   \n",
      "💘 WhatsLov: Smileys of love, stickers and GIF                  1       1   \n",
      "📏 Smart Ruler ↔️ cm/inch measuring for homework!               1       1   \n",
      "🔥 Football Wallpapers 4K | Full HD Backgrounds 😍               1       1   \n",
      "\n",
      "                                                  Last Updated  Current Ver  \\\n",
      "App                                                                           \n",
      "\"i DT\" Fútbol. Todos Somos Técnicos.                         1            1   \n",
      "+Download 4 Instagram Twitter                                1            1   \n",
      "- Free Comics - Comic Apps                                   1            1   \n",
      ".R                                                           1            1   \n",
      "/u/app                                                       1            1   \n",
      "...                                                        ...          ...   \n",
      "뽕티비 - 개인방송, 인터넷방송, BJ방송                                      1            1   \n",
      "💎 I'm rich                                                   1            1   \n",
      "💘 WhatsLov: Smileys of love, stickers and GIF                1            1   \n",
      "📏 Smart Ruler ↔️ cm/inch measuring for homework!             1            1   \n",
      "🔥 Football Wallpapers 4K | Full HD Backgrounds 😍             1            1   \n",
      "\n",
      "                                                  Android Ver  \n",
      "App                                                            \n",
      "\"i DT\" Fútbol. Todos Somos Técnicos.                        1  \n",
      "+Download 4 Instagram Twitter                               1  \n",
      "- Free Comics - Comic Apps                                  1  \n",
      ".R                                                          1  \n",
      "/u/app                                                      1  \n",
      "...                                                       ...  \n",
      "뽕티비 - 개인방송, 인터넷방송, BJ방송                                     1  \n",
      "💎 I'm rich                                                  1  \n",
      "💘 WhatsLov: Smileys of love, stickers and GIF               1  \n",
      "📏 Smart Ruler ↔️ cm/inch measuring for homework!            1  \n",
      "🔥 Football Wallpapers 4K | Full HD Backgrounds 😍            1  \n",
      "\n",
      "[9659 rows x 13 columns]\n",
      "   Unnamed: 0                                                App  \\\n",
      "0           0     Photo Editor & Candy Camera & Grid & ScrapBook   \n",
      "1           1                                Coloring book moana   \n",
      "2           2  U Launcher Lite – FREE Live Cool Themes, Hide ...   \n",
      "3           3                              Sketch - Draw & Paint   \n",
      "4           4              Pixel Draw - Number Art Coloring Book   \n",
      "\n",
      "         Category  Rating  Reviews  Size     Installs  Type Price  \\\n",
      "0  ART_AND_DESIGN     4.1      159   19M      10,000+  Free     0   \n",
      "1  ART_AND_DESIGN     3.9      967   14M     500,000+  Free     0   \n",
      "2  ART_AND_DESIGN     4.7    87510  8.7M   5,000,000+  Free     0   \n",
      "3  ART_AND_DESIGN     4.5   215644   25M  50,000,000+  Free     0   \n",
      "4  ART_AND_DESIGN     4.3      967  2.8M     100,000+  Free     0   \n",
      "\n",
      "  Content Rating                     Genres      Last Updated  \\\n",
      "0       Everyone               Art & Design   January 7, 2018   \n",
      "1       Everyone  Art & Design;Pretend Play  January 15, 2018   \n",
      "2       Everyone               Art & Design    August 1, 2018   \n",
      "3           Teen               Art & Design      June 8, 2018   \n",
      "4       Everyone    Art & Design;Creativity     June 20, 2018   \n",
      "\n",
      "          Current Ver   Android Ver  \n",
      "0               1.0.0  4.0.3 and up  \n",
      "1               2.0.0  4.0.3 and up  \n",
      "2               1.2.4  4.0.3 and up  \n",
      "3  Varies with device    4.2 and up  \n",
      "4                 1.1    4.4 and up  \n"
     ]
    }
   ],
   "source": [
    "# Read in dataset\n",
    "import pandas as pd\n",
    "apps_with_duplicates = pd.read_csv('datasets/apps.csv')\n",
    "\n",
    "# Drop duplicates from apps_with_duplicates\n",
    "apps = apps_with_duplicates.drop_duplicates(subset=[\"App\"])\n",
    "\n",
    "# Print the total number of apps\n",
    "print('Total number of apps in the dataset = ', apps.groupby([\"App\"]).count())\n",
    "\n",
    "# Have a look at a random sample of 5 rows\n",
    "print(apps.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **2. Data cleaning**\n",
    "\n",
    "Data cleaning is one of the most essential subtask any data science project. Although it can be a very tedious process, it's worth should never be undermined.\n",
    "\n",
    "By looking at a random sample of the dataset rows (from the above task), we observe that some entries in the columns like `Installs` and `Price` have a few special characters (+ , $) due to the way the numbers have been represented. This prevents the columns from being purely numeric, making it difficult to use them in subsequent future mathematical calculations. Ideally, as their names suggest, we would want these columns to contain only digits from [0-9].\n",
    "\n",
    "Hence, we now proceed to clean our data. Specifically, the special characters , and + present in `Installs` column and $ present in `Price` column need to be removed.\n",
    "\n",
    "It is also always a good practice to print a summary of your dataframe after completing data cleaning. We will use the `info()` method to acheive this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 9659 entries, 0 to 9658\n",
      "Data columns (total 14 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   Unnamed: 0      9659 non-null   int64  \n",
      " 1   App             9659 non-null   object \n",
      " 2   Category        9659 non-null   object \n",
      " 3   Rating          8196 non-null   float64\n",
      " 4   Reviews         9659 non-null   int64  \n",
      " 5   Size            8432 non-null   object \n",
      " 6   Installs        9659 non-null   object \n",
      " 7   Type            9658 non-null   object \n",
      " 8   Price           9659 non-null   object \n",
      " 9   Content Rating  9659 non-null   object \n",
      " 10  Genres          9659 non-null   object \n",
      " 11  Last Updated    9659 non-null   object \n",
      " 12  Current Ver     9651 non-null   object \n",
      " 13  Android Ver     9657 non-null   object \n",
      "dtypes: float64(1), int64(2), object(11)\n",
      "memory usage: 1.1+ MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# List of characters to remove\n",
    "chars_to_remove = ['+', ',', '$']\n",
    "# List of column names to clean\n",
    "cols_to_clean = ['Installs', 'Price']\n",
    "\n",
    "# Loop for each column in cols_to_clean\n",
    "for col in cols_to_clean:\n",
    "    # Loop for each char in chars_to_remove\n",
    "    for char in chars_to_remove:\n",
    "        # Replace the character with an empty string\n",
    "        apps[col] = apps[col].apply(lambda x: x.replace(char, ''))\n",
    "\n",
    "# Print a summary of the apps dataframe\n",
    "print(apps.info())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **3. Correcting data types**\n",
    "\n",
    "From the previous task we noticed that `Installs` and `Price` were categorized as `object` data type (and not `int` or `float`) as we would like. This is because these two columns originally had mixed input types: digits and special characters. To know more about Pandas data types, read [this](https://datacarpentry.org/python-ecology-lesson/04-data-types-and-format/).\n",
    "\n",
    "The four features that we will be working with most frequently henceforth are `Installs`, `Size`, `Rating` and `Price`. While `Size` and `Rating` are both `float` (i.e. purely numerical data types), we still need to work on `Installs` and `Price` to make them numeric."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unnamed: 0          int64\n",
      "App                object\n",
      "Category           object\n",
      "Rating            float64\n",
      "Reviews             int64\n",
      "Size               object\n",
      "Installs          float64\n",
      "Type               object\n",
      "Price             float64\n",
      "Content Rating     object\n",
      "Genres             object\n",
      "Last Updated       object\n",
      "Current Ver        object\n",
      "Android Ver        object\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# Convert Installs to float data type\n",
    "apps['Installs'] = apps['Installs'].astype(float)\n",
    "\n",
    "# Convert Price to float data type\n",
    "apps['Price'] = apps['Price'].astype(float)\n",
    "\n",
    "# Checking dtypes of the apps dataframe\n",
    "print(apps.dtypes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **4. Exploring app categories**\n",
    "\n",
    "With more than 1 billion active users in 190 countries around the world, Google Play continues to be an important distribution platform to build a global audience. For businesses to get their apps in front of users, it's important to make them more quickly and easily discoverable on Google Play. To improve the overall search experience, Google has introduced the concept of grouping apps into categories.\n",
    "\n",
    "This brings us to the following questions:\n",
    "\n",
    "- Which category has the highest share of (active) apps in the market?\n",
    "- Is any specific category dominating the market?\n",
    "- Which categories have the fewest number of apps?\n",
    "\n",
    "We will see that there are 33 unique app categories present in our dataset. *Family* and *Game* apps have the highest market prevalence. Interestingly, *Tools*, *Business* and *Medical* apps are also at the top."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.14.0.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of categories =  33\n"
     ]
    },
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "type": "bar",
         "x": [
          "FAMILY",
          "GAME",
          "TOOLS",
          "BUSINESS",
          "MEDICAL",
          "PERSONALIZATION",
          "PRODUCTIVITY",
          "LIFESTYLE",
          "FINANCE",
          "SPORTS",
          "COMMUNICATION",
          "HEALTH_AND_FITNESS",
          "PHOTOGRAPHY",
          "NEWS_AND_MAGAZINES",
          "SOCIAL",
          "BOOKS_AND_REFERENCE",
          "TRAVEL_AND_LOCAL",
          "SHOPPING",
          "DATING",
          "VIDEO_PLAYERS",
          "MAPS_AND_NAVIGATION",
          "EDUCATION",
          "FOOD_AND_DRINK",
          "ENTERTAINMENT",
          "AUTO_AND_VEHICLES",
          "LIBRARIES_AND_DEMO",
          "WEATHER",
          "HOUSE_AND_HOME",
          "EVENTS",
          "ART_AND_DESIGN",
          "PARENTING",
          "COMICS",
          "BEAUTY"
         ],
         "y": [
          1832,
          959,
          827,
          420,
          395,
          376,
          374,
          369,
          345,
          325,
          315,
          288,
          281,
          254,
          239,
          222,
          219,
          202,
          171,
          163,
          131,
          119,
          112,
          102,
          85,
          84,
          79,
          74,
          64,
          64,
          60,
          56,
          53
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"6f9dbd72-0cb2-4e92-9200-60f8f3014606\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"6f9dbd72-0cb2-4e92-9200-60f8f3014606\")) {                    Plotly.newPlot(                        \"6f9dbd72-0cb2-4e92-9200-60f8f3014606\",                        [{\"x\":[\"FAMILY\",\"GAME\",\"TOOLS\",\"BUSINESS\",\"MEDICAL\",\"PERSONALIZATION\",\"PRODUCTIVITY\",\"LIFESTYLE\",\"FINANCE\",\"SPORTS\",\"COMMUNICATION\",\"HEALTH_AND_FITNESS\",\"PHOTOGRAPHY\",\"NEWS_AND_MAGAZINES\",\"SOCIAL\",\"BOOKS_AND_REFERENCE\",\"TRAVEL_AND_LOCAL\",\"SHOPPING\",\"DATING\",\"VIDEO_PLAYERS\",\"MAPS_AND_NAVIGATION\",\"EDUCATION\",\"FOOD_AND_DRINK\",\"ENTERTAINMENT\",\"AUTO_AND_VEHICLES\",\"LIBRARIES_AND_DEMO\",\"WEATHER\",\"HOUSE_AND_HOME\",\"EVENTS\",\"ART_AND_DESIGN\",\"PARENTING\",\"COMICS\",\"BEAUTY\"],\"y\":[1832,959,827,420,395,376,374,369,345,325,315,288,281,254,239,222,219,202,171,163,131,119,112,102,85,84,79,74,64,64,60,56,53],\"type\":\"bar\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('6f9dbd72-0cb2-4e92-9200-60f8f3014606');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly\n",
    "plotly.offline.init_notebook_mode(connected=True)\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "# Print the total number of unique categories\n",
    "num_categories = len(apps[\"Category\"].unique())\n",
    "print('Number of categories = ', num_categories)\n",
    "\n",
    "# Count the number of apps in each 'Category'.\n",
    "num_apps_in_category = apps[\"Category\"].value_counts()\n",
    "\n",
    "# Sort num_apps_in_category in descending order based on the count of apps in each category\n",
    "sorted_num_apps_in_category = num_apps_in_category.sort_values(ascending=[False])\n",
    "\n",
    "data = [go.Bar(\n",
    "        x = num_apps_in_category.index, # index = category name\n",
    "        y = num_apps_in_category.values, # value = count\n",
    ")]\n",
    "\n",
    "plotly.offline.iplot(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **5. Distribution of app ratings**\n",
    "\n",
    "After having witnessed the market share for each category of apps, let's see how all these apps perform on an average. App ratings (on a scale of 1 to 5) impact the discoverability, conversion of apps as well as the company's overall brand image. Ratings are a key performance indicator of an app.\n",
    "\n",
    "From our research, we found that the average volume of ratings across all app categories is `4.17.` The histogram plot is skewed to the left indicating that the majority of the apps are highly rated with only a few exceptions in the low-rated apps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average app rating =  4.173243045387994\n"
     ]
    },
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "type": "histogram",
         "x": [
          4.1,
          3.9,
          4.7,
          4.5,
          4.3,
          4.4,
          3.8,
          4.1,
          4.4,
          4.7,
          4.4,
          4.4,
          4.2,
          4.6,
          4.4,
          3.2,
          4.7,
          4.5,
          4.3,
          4.6,
          4,
          4.1,
          4.7,
          null,
          4.7,
          4.8,
          4.7,
          4.1,
          3.9,
          4.1,
          4.2,
          4.1,
          4.5,
          4.2,
          4.7,
          3.8,
          4.7,
          4.1,
          4.7,
          4,
          4.2,
          4.5,
          4.4,
          3.8,
          4.2,
          4.7,
          4.6,
          4.2,
          4.3,
          4.2,
          4,
          3.8,
          4.6,
          3.9,
          4.3,
          4.9,
          4.4,
          4.2,
          4,
          3.9,
          4.6,
          4.9,
          4.3,
          4.6,
          4.9,
          3.9,
          4,
          4.3,
          3.9,
          4.2,
          4.8,
          3.6,
          4.2,
          4.8,
          4.8,
          4.6,
          4.5,
          4.3,
          4.5,
          4.9,
          3.9,
          4.4,
          4,
          4.3,
          3.7,
          4.4,
          4.3,
          3.2,
          4.6,
          4.6,
          4.5,
          3.7,
          4.6,
          4.6,
          4.6,
          4,
          4.4,
          4,
          4.7,
          4.9,
          4.7,
          3.9,
          3.9,
          4.2,
          4.6,
          4.3,
          4.7,
          4.7,
          4.8,
          4.2,
          4.3,
          4.5,
          4.1,
          null,
          4.2,
          4.5,
          4.4,
          4,
          4.1,
          4.1,
          4.4,
          4.6,
          4.5,
          null,
          3.9,
          4.4,
          null,
          4.6,
          3.8,
          null,
          null,
          4,
          4.3,
          4.5,
          null,
          4.1,
          3.7,
          4.7,
          4.2,
          4.6,
          4.5,
          4.6,
          4.4,
          4.2,
          4.5,
          4.5,
          4.5,
          4.5,
          4.4,
          4.5,
          4.6,
          4.8,
          3.9,
          4.6,
          4.2,
          4.1,
          4.7,
          4.2,
          4.3,
          3.3,
          4.6,
          4.8,
          4.7,
          null,
          4.1,
          4.6,
          4.1,
          4.6,
          4.7,
          4.5,
          3.9,
          4.4,
          4.3,
          4.2,
          4.5,
          4.4,
          3.4,
          4.9,
          4.6,
          4.4,
          null,
          4.4,
          4.4,
          4.4,
          3.5,
          null,
          4.4,
          4.1,
          4.3,
          4.4,
          4.3,
          4.3,
          4.1,
          4.4,
          4.3,
          3.9,
          4.8,
          4.5,
          4.4,
          4,
          4.3,
          4,
          4.2,
          4.5,
          4.2,
          4.2,
          4.6,
          4.1,
          4.6,
          3.1,
          3.9,
          4.3,
          4.1,
          4.4,
          4.1,
          4.1,
          4.5,
          4.4,
          4.4,
          4.3,
          4.4,
          4.6,
          4.2,
          4.4,
          4.7,
          3.8,
          3.9,
          null,
          4.3,
          4.4,
          4.7,
          4.5,
          4.2,
          4.7,
          4.8,
          4.2,
          4.3,
          4.4,
          4.1,
          3.8,
          4.3,
          3.8,
          3.5,
          4.1,
          4.6,
          4.3,
          4.5,
          4.1,
          4.5,
          4.6,
          4,
          4.2,
          4.4,
          4,
          4.2,
          4.2,
          4.1,
          3.8,
          3.9,
          3.9,
          4.5,
          4.5,
          4.6,
          4.7,
          4.7,
          4.8,
          3.9,
          4.1,
          4.4,
          4.6,
          4.5,
          4.7,
          4.4,
          4.5,
          3.9,
          3.2,
          3.2,
          4.1,
          4.5,
          4.2,
          4.2,
          3.7,
          4.5,
          4.6,
          4.5,
          null,
          4.7,
          4.4,
          3.5,
          3.3,
          4.5,
          4.4,
          4.2,
          5,
          4.4,
          4.7,
          4.4,
          4.4,
          4.6,
          4,
          4.4,
          4.3,
          4.3,
          4.4,
          4.3,
          4,
          4.3,
          4.3,
          4.4,
          4.3,
          4.3,
          4.3,
          4.3,
          4.3,
          4,
          4.5,
          4.3,
          3.7,
          4.5,
          3.9,
          4.4,
          3.6,
          4.4,
          4.2,
          4.4,
          4.1,
          4.4,
          4.3,
          4.2,
          4.2,
          4.4,
          4.4,
          3.9,
          4.2,
          4.4,
          4.6,
          4.3,
          4.3,
          4.4,
          3.7,
          4.3,
          3.9,
          4.5,
          3.7,
          4.3,
          4,
          4.1,
          4.2,
          4.2,
          4.1,
          4.4,
          4.1,
          4.3,
          4.3,
          4.5,
          4.3,
          4.2,
          4.2,
          4.5,
          4.3,
          4.3,
          4.3,
          4.2,
          4.6,
          4.2,
          4.5,
          4.1,
          4.2,
          4.1,
          4.3,
          4.1,
          4.2,
          4,
          4.2,
          4.2,
          4.3,
          4.4,
          4.2,
          4.4,
          4.2,
          4.8,
          4.4,
          4.4,
          4.4,
          4,
          4.5,
          4.4,
          4.1,
          4.2,
          4.5,
          4.3,
          4.5,
          4,
          4.2,
          4.5,
          4.6,
          4.1,
          4,
          4.2,
          4.6,
          4.1,
          4.3,
          4.2,
          4.3,
          4.1,
          4.6,
          4.2,
          2.6,
          null,
          null,
          null,
          3.5,
          4,
          4.1,
          3.7,
          4.1,
          4.2,
          4.5,
          4.4,
          4.2,
          4,
          4.1,
          3.1,
          4.4,
          4.2,
          4.1,
          3.9,
          4.3,
          4.4,
          3.5,
          4,
          3.3,
          4.5,
          4.4,
          4.1,
          3.9,
          3.9,
          3.6,
          4,
          3.6,
          3.4,
          4.2,
          4.1,
          3.4,
          3,
          4.6,
          4.1,
          3.9,
          1.9,
          3.5,
          2.5,
          3.9,
          3.4,
          3.5,
          4.4,
          3.8,
          4.2,
          2.5,
          2.8,
          4.1,
          4.2,
          3.5,
          4.3,
          3.3,
          4.1,
          4.2,
          3.5,
          4.2,
          4.4,
          4.1,
          4.2,
          4.3,
          3,
          4,
          3.3,
          4.1,
          3.7,
          4,
          4,
          4.1,
          3.3,
          4.4,
          4.3,
          3.4,
          4,
          3.6,
          4.2,
          3.5,
          4,
          4.1,
          4.4,
          4.2,
          4.1,
          4.2,
          3.9,
          4.1,
          3.9,
          4,
          4.2,
          4.5,
          3.9,
          3.6,
          4.4,
          3.5,
          4.4,
          4.8,
          4.6,
          4.7,
          4.8,
          null,
          2.7,
          5,
          null,
          4.8,
          5,
          4.8,
          null,
          4.9,
          3,
          null,
          null,
          4.7,
          null,
          null,
          1,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          5,
          4.7,
          null,
          5,
          null,
          null,
          null,
          5,
          null,
          null,
          null,
          null,
          3,
          4.1,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          5,
          3.7,
          4.5,
          4.2,
          null,
          null,
          null,
          4.3,
          null,
          4.4,
          3.4,
          4.7,
          4.8,
          4.7,
          3.5,
          4.7,
          3.8,
          2.9,
          null,
          4.7,
          4.6,
          4.7,
          4.6,
          4.7,
          null,
          4.5,
          4.7,
          4.8,
          4.6,
          4.6,
          4.6,
          4.2,
          4.9,
          3.8,
          4.2,
          4.4,
          4.4,
          4.3,
          4.5,
          4.4,
          4.6,
          3.9,
          4.4,
          4.3,
          4.4,
          4.2,
          4.4,
          4,
          4.2,
          3.8,
          4.5,
          4.7,
          4.5,
          4.3,
          4.2,
          4.3,
          4.7,
          4.7,
          4.6,
          4.5,
          4.4,
          4.6,
          4.5,
          4.5,
          4.4,
          4.4,
          4.2,
          4.5,
          4.1,
          4,
          4.1,
          4.3,
          4.3,
          4.3,
          4.6,
          4.1,
          4.6,
          4.7,
          4.7,
          4.3,
          4.7,
          4.6,
          4.6,
          4.6,
          4.3,
          4.2,
          4,
          4.5,
          4.2,
          4.1,
          4.4,
          4,
          4.5,
          4.4,
          4,
          4.2,
          4.3,
          4.2,
          4.5,
          4.2,
          4.6,
          4.2,
          4.7,
          4.4,
          4.4,
          4,
          4.6,
          4.4,
          4.3,
          4.1,
          4.2,
          4.3,
          4.3,
          4.3,
          4,
          4.2,
          4,
          4,
          3.8,
          4.1,
          3.9,
          4.1,
          4.5,
          4.4,
          4,
          4.4,
          4.5,
          4.3,
          4.5,
          4.2,
          3.5,
          4.8,
          4.4,
          4.1,
          4.9,
          4.7,
          4.7,
          4.7,
          4.4,
          4,
          4.2,
          4.3,
          4.5,
          3.5,
          4.2,
          3.1,
          4.6,
          4.2,
          4.3,
          4.3,
          4.1,
          3.8,
          3.4,
          4.3,
          4.4,
          4.4,
          4,
          3.7,
          3.9,
          4.5,
          4.4,
          4.3,
          4.2,
          4.2,
          4.5,
          4.7,
          4.5,
          4.5,
          3.4,
          4.2,
          4.3,
          4.2,
          4.6,
          4.1,
          4.2,
          4.2,
          4.3,
          4.4,
          3.9,
          4.1,
          4.3,
          4.6,
          3.6,
          4.3,
          4.3,
          4.1,
          4.1,
          4.2,
          3.9,
          4.2,
          3.7,
          4.5,
          3.7,
          3.8,
          4.3,
          3,
          4.1,
          4.2,
          4.1,
          3.9,
          4,
          4.4,
          4.2,
          4,
          3.9,
          4,
          4.2,
          4,
          4.3,
          3.9,
          4.5,
          4.1,
          4.5,
          3.6,
          3.8,
          3.7,
          3.8,
          3.7,
          4.1,
          3.7,
          3.9,
          3.9,
          3.9,
          4.1,
          3.9,
          4.2,
          4.3,
          4.6,
          4.3,
          4.6,
          4.5,
          4.6,
          3.9,
          4.2,
          4.4,
          4.2,
          4.3,
          4.6,
          4.3,
          4.5,
          4,
          4,
          4.5,
          4.5,
          4,
          4,
          4.2,
          4.4,
          4.6,
          null,
          4.6,
          4.1,
          4.6,
          4.4,
          4.6,
          4.9,
          4.5,
          4.6,
          4.7,
          4.3,
          null,
          null,
          4.2,
          4.3,
          5,
          4.4,
          5,
          4.5,
          null,
          null,
          null,
          4.5,
          4.8,
          4.4,
          5,
          null,
          3.7,
          null,
          4.1,
          null,
          4.8,
          null,
          null,
          4.6,
          4.4,
          4.4,
          3.6,
          3.7,
          3.8,
          4.2,
          4.2,
          4.2,
          3.3,
          3.4,
          4.3,
          4.2,
          4.7,
          4.1,
          4.7,
          4,
          3.6,
          4,
          3.6,
          4.3,
          4.2,
          4.2,
          4.1,
          4,
          4.1,
          4.4,
          4.7,
          4.5,
          4.3,
          4.6,
          4.3,
          4,
          4.5,
          4.5,
          3.6,
          4.2,
          4.1,
          3.5,
          4.4,
          4,
          4.5,
          4.2,
          4.6,
          4.2,
          4.8,
          4.5,
          4.2,
          4.3,
          4.4,
          4.4,
          4.6,
          4.6,
          4.6,
          4.4,
          4.3,
          4.2,
          4.2,
          3.8,
          4.5,
          4.6,
          4.6,
          4.7,
          4.6,
          4.6,
          3.8,
          4.3,
          4.3,
          4.5,
          4.6,
          4.6,
          4.7,
          4.5,
          4.4,
          3.9,
          4.5,
          4.6,
          4.1,
          4.5,
          4.4,
          4.5,
          4.6,
          4.2,
          4.4,
          4.1,
          3.9,
          4.5,
          3.7,
          4.1,
          4.4,
          4.6,
          4.3,
          4.3,
          4.4,
          4.3,
          4.4,
          4.1,
          4.4,
          4.2,
          4.3,
          4.3,
          3.9,
          4.1,
          4.1,
          4.2,
          4.5,
          4.7,
          4.4,
          4.6,
          4.6,
          4.3,
          4,
          4.4,
          4.6,
          4.2,
          4.1,
          3.6,
          null,
          4.1,
          4.6,
          null,
          4.7,
          4.7,
          4.7,
          4.7,
          4.1,
          3.4,
          3.8,
          3.7,
          4.2,
          3.1,
          3.5,
          4.7,
          4.5,
          4.2,
          4.3,
          4,
          4.5,
          4.6,
          4.7,
          4.1,
          4.3,
          3.8,
          4.4,
          4.3,
          4.2,
          4.3,
          3.8,
          4.3,
          3.7,
          4.5,
          3.6,
          4.8,
          3.3,
          4.7,
          4.6,
          4.6,
          3.4,
          4.6,
          4,
          4.1,
          4.5,
          4.4,
          4.5,
          4,
          4.1,
          4.5,
          4.6,
          4.1,
          4.5,
          4.6,
          4.5,
          4.3,
          3.6,
          4.4,
          4.6,
          4.1,
          4.3,
          3.9,
          4.1,
          4.3,
          4.7,
          4.6,
          4.4,
          4.2,
          4.5,
          4.2,
          4.5,
          4.5,
          4.3,
          4,
          4.8,
          4,
          4.9,
          4.8,
          4.9,
          4.8,
          4.4,
          3.3,
          4.7,
          4.6,
          4.8,
          4.8,
          4.8,
          4.5,
          4.4,
          4.5,
          4.5,
          4.5,
          4.8,
          3.9,
          4.6,
          4.5,
          4.5,
          4.7,
          4.7,
          4.4,
          4.2,
          3.9,
          4.2,
          4.4,
          4.6,
          4.6,
          4.2,
          4.5,
          4.7,
          4.5,
          4.5,
          3.7,
          4.5,
          4.6,
          4.6,
          4.7,
          4.5,
          4.5,
          4.6,
          4,
          4.3,
          4.4,
          4.5,
          4.2,
          4.6,
          4.9,
          4.5,
          4.6,
          4.5,
          4.6,
          4.6,
          4.5,
          4.5,
          4.4,
          3.9,
          4.6,
          4.4,
          4.5,
          4.5,
          4.4,
          4.4,
          4.4,
          4.2,
          4.5,
          4.5,
          4.4,
          4.3,
          4.6,
          4.6,
          4.9,
          4.4,
          4.3,
          4.1,
          4.6,
          4.8,
          4.5,
          4.7,
          4.6,
          4.3,
          4.6,
          4.3,
          4.6,
          4.6,
          4.5,
          4.6,
          4.6,
          4.5,
          4.1,
          4.5,
          4.6,
          4.5,
          4.8,
          4.8,
          4.5,
          4.1,
          4.4,
          4.2,
          4.5,
          4.3,
          4.6,
          4,
          4.6,
          4.6,
          4.4,
          4.7,
          4.4,
          4.4,
          4.4,
          4.5,
          4,
          4.6,
          4.1,
          4,
          4.4,
          4.4,
          4.1,
          3.5,
          4.3,
          4.5,
          4.2,
          4.5,
          4.1,
          4.5,
          3.7,
          4.3,
          4.5,
          4.6,
          4.7,
          4.6,
          4,
          4.4,
          4.8,
          4.2,
          4.1,
          4.4,
          4.3,
          4.5,
          4.8,
          4.2,
          4.5,
          4.1,
          4.1,
          4,
          4.3,
          4.5,
          null,
          4.6,
          3.7,
          3.7,
          4.2,
          4.5,
          4.3,
          3.9,
          4.6,
          4.3,
          4.4,
          4.6,
          4.5,
          3.8,
          null,
          4.4,
          4.7,
          3.4,
          4.3,
          4.3,
          4,
          4,
          3.8,
          null,
          4.3,
          3.6,
          3.8,
          4.5,
          4.6,
          null,
          4.5,
          4.7,
          4.3,
          3.7,
          null,
          4.2,
          3.4,
          3.9,
          4,
          4,
          4,
          4,
          4.1,
          3.9,
          4.4,
          4.4,
          4.3,
          4.1,
          3.9,
          4.4,
          4.6,
          null,
          4.1,
          null,
          null,
          3.8,
          4.6,
          3.5,
          4.7,
          4.3,
          4.5,
          4.4,
          3.4,
          4.3,
          null,
          4.3,
          4.6,
          4.6,
          null,
          4.2,
          null,
          null,
          4.6,
          null,
          null,
          4.4,
          3.9,
          4.5,
          3.8,
          4.3,
          3.7,
          5,
          3.2,
          4.5,
          4.7,
          4,
          null,
          4.1,
          3.8,
          4.7,
          4.5,
          null,
          4.2,
          null,
          4.1,
          3.1,
          4.1,
          4.1,
          4.3,
          4,
          4.6,
          4.4,
          4.4,
          4.3,
          4.6,
          3.2,
          4.5,
          4.6,
          4.6,
          4.3,
          3,
          4.4,
          4.4,
          4.3,
          3.5,
          4.3,
          4.5,
          3.7,
          4.5,
          4.2,
          4.3,
          4.6,
          4.5,
          3.9,
          4.3,
          3.3,
          4.7,
          4.2,
          3.2,
          4.4,
          3.5,
          3.7,
          3.8,
          3.8,
          3.7,
          4.6,
          4,
          3.6,
          3.8,
          4.1,
          4.7,
          3.9,
          4.1,
          4.6,
          4.2,
          4.6,
          4.2,
          4.4,
          4.6,
          4.1,
          3.9,
          4,
          4.1,
          4.1,
          4.1,
          4.1,
          4.4,
          4.3,
          4.4,
          4.2,
          4.4,
          4.3,
          4.1,
          4,
          4.2,
          4.1,
          3.9,
          4.4,
          4.6,
          4.5,
          4.5,
          4.8,
          4.4,
          4.5,
          4.5,
          4.6,
          4.5,
          4.5,
          4.5,
          4.4,
          4.7,
          4.5,
          4.2,
          4.4,
          4.6,
          4.3,
          4.3,
          4.2,
          4.6,
          4.4,
          4.4,
          4.5,
          4.4,
          4.3,
          4.6,
          4.3,
          4.2,
          4.2,
          4.5,
          4.5,
          4.5,
          4.7,
          4.7,
          4.5,
          4.4,
          4.3,
          3.8,
          4.6,
          4.6,
          4.4,
          4.3,
          4.1,
          4.3,
          4.4,
          4.6,
          4.3,
          4.4,
          4.7,
          4.5,
          4.4,
          4.6,
          4.5,
          4.4,
          4.6,
          4.5,
          4.7,
          4.6,
          4.7,
          4.5,
          4.8,
          4.5,
          4.7,
          4.5,
          4.3,
          4.5,
          4.5,
          4.6,
          4.7,
          4.6,
          4.4,
          4.5,
          4.6,
          4.5,
          4.5,
          4.4,
          4.2,
          4.5,
          4.7,
          4.1,
          4.4,
          4.2,
          4.4,
          4.7,
          4.3,
          4.7,
          4.2,
          4.3,
          4.4,
          4.1,
          4.1,
          4.2,
          4.7,
          4.6,
          4.5,
          3.1,
          4.1,
          3.4,
          4.4,
          4.3,
          4.6,
          4.4,
          4.3,
          4.6,
          4.2,
          4.5,
          4.2,
          4.5,
          4.4,
          4.6,
          4.5,
          4.3,
          4.6,
          4.4,
          4.4,
          4.5,
          4.6,
          4.6,
          4.6,
          4.1,
          4.5,
          4.6,
          4.4,
          4.7,
          4.6,
          4.3,
          4.5,
          4.6,
          4.2,
          4.5,
          4.8,
          4.1,
          4.3,
          4.4,
          4,
          4.2,
          4,
          4.2,
          4.5,
          4.7,
          4.2,
          4.4,
          4.6,
          4.9,
          4.4,
          4.5,
          4.6,
          4.2,
          4.5,
          4.6,
          4.6,
          4.6,
          4.3,
          4.6,
          4.3,
          4.3,
          4.6,
          4.5,
          4.2,
          4.7,
          4.3,
          4,
          4.4,
          4.3,
          4.6,
          4.7,
          4.4,
          4.4,
          4.3,
          4.2,
          4.5,
          4.5,
          4.5,
          4.6,
          4.3,
          4.5,
          4.4,
          4.6,
          4.5,
          4.5,
          4.6,
          4.6,
          4.3,
          4.5,
          4.7,
          4.5,
          4.7,
          4.7,
          4.6,
          4.4,
          4.3,
          4.5,
          4.3,
          4.4,
          4.2,
          4.4,
          4.7,
          4.2,
          4.1,
          4.5,
          4.5,
          4.5,
          4.1,
          4.3,
          4.5,
          4.4,
          4.5,
          4.6,
          4,
          4.3,
          4.5,
          4.6,
          4.5,
          4.5,
          4.4,
          4.7,
          4.4,
          4.4,
          4.6,
          4.2,
          4.6,
          4.6,
          4.6,
          4.3,
          4.6,
          4.4,
          4.3,
          4.7,
          4.4,
          4.4,
          4.5,
          4.6,
          4.5,
          4.3,
          4.7,
          4.5,
          4.5,
          4.4,
          4.3,
          4.6,
          4.2,
          4.5,
          4.3,
          4.5,
          4.4,
          4.4,
          4.8,
          4.4,
          4.3,
          4.6,
          4.5,
          4.5,
          4.5,
          4,
          4.6,
          4.5,
          4.5,
          4.4,
          4.5,
          4.5,
          4.2,
          4.3,
          4.5,
          4.2,
          4.3,
          4.4,
          4.6,
          4.5,
          4.2,
          4.5,
          4.6,
          4.6,
          4.1,
          4.5,
          4.6,
          4.6,
          4.5,
          4.3,
          3.8,
          4.5,
          4.1,
          4.8,
          3.9,
          4.5,
          4.4,
          4.3,
          4.2,
          3,
          4.1,
          4.5,
          4.6,
          4.3,
          4.3,
          4.5,
          4.2,
          4.2,
          4.4,
          4.5,
          4.1,
          4.2,
          4.1,
          4.7,
          4.3,
          4.4,
          4.4,
          4.3,
          4.3,
          4.2,
          4.2,
          4.3,
          4.3,
          4.1,
          4.2,
          4.5,
          4.3,
          4.5,
          4.1,
          4.2,
          4.4,
          4,
          4.1,
          4.4,
          4.1,
          4,
          4.3,
          4.6,
          4.3,
          4.7,
          4.3,
          4.4,
          4.2,
          4.7,
          3.9,
          4.1,
          4.1,
          4.1,
          4.2,
          4.4,
          4.3,
          4.5,
          4.3,
          4.3,
          4.1,
          4.1,
          4.1,
          4.6,
          4.1,
          4.4,
          4.4,
          4.3,
          4,
          4.8,
          3.8,
          4.7,
          4.5,
          4.8,
          4.4,
          4.8,
          4.2,
          4.2,
          4,
          4.7,
          4.7,
          3.9,
          4.5,
          4.1,
          4.4,
          3.9,
          4.4,
          3.6,
          4.4,
          4.1,
          3.6,
          4.6,
          4.3,
          4.5,
          4.4,
          4.1,
          3.9,
          4.1,
          3.9,
          4.2,
          3.8,
          4.3,
          3.9,
          4,
          4,
          4,
          4.3,
          4.3,
          4.2,
          4.3,
          4.2,
          4.6,
          4.1,
          4.5,
          4.5,
          4.3,
          4.2,
          4.4,
          4.6,
          4.5,
          4.8,
          4.5,
          3.2,
          4.6,
          4.5,
          4.1,
          4.6,
          4.5,
          4.4,
          4.4,
          4.4,
          3.8,
          4.6,
          2.5,
          4,
          5,
          4.3,
          3.4,
          null,
          3.4,
          4.3,
          4.4,
          4.4,
          4.2,
          5,
          4.1,
          3.9,
          4.6,
          4.2,
          4.4,
          4.2,
          3.6,
          4.5,
          null,
          4.7,
          4.6,
          4.5,
          4.2,
          4.2,
          4.3,
          4.4,
          4.1,
          4.4,
          4.6,
          4.4,
          4.2,
          4.5,
          null,
          2.6,
          4.6,
          4.8,
          4.2,
          4.7,
          3,
          3.5,
          4.6,
          4.8,
          4.2,
          4.6,
          4.4,
          4.8,
          4,
          3.7,
          4.2,
          4.8,
          4.7,
          3.5,
          3.9,
          4.2,
          4.8,
          2.7,
          4.2,
          4.7,
          4.6,
          4.5,
          4.7,
          4.7,
          4.5,
          4.7,
          4,
          3.4,
          3.5,
          3,
          4.7,
          4.6,
          4.2,
          4.8,
          4.5,
          4.2,
          3.8,
          3,
          4.4,
          4.5,
          4,
          3.6,
          4.4,
          4.7,
          3.6,
          4.5,
          4.1,
          4.6,
          4.7,
          4.7,
          2.8,
          4.3,
          4.6,
          4.3,
          3.4,
          null,
          4,
          4.8,
          4.2,
          3,
          4.5,
          3.7,
          4.5,
          4.5,
          3.6,
          4.4,
          4.4,
          4.5,
          4.1,
          4.6,
          4.3,
          4.3,
          4.7,
          4.5,
          4.2,
          4.4,
          3.9,
          4.2,
          4.1,
          null,
          4.1,
          3.5,
          4.2,
          4,
          4.3,
          4.3,
          2.3,
          4.5,
          4.3,
          3.1,
          4.4,
          2.9,
          3.1,
          3.7,
          4,
          3.8,
          4.4,
          4.3,
          null,
          null,
          null,
          null,
          3.7,
          5,
          3,
          3.7,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          3.7,
          5,
          null,
          null,
          5,
          null,
          5,
          null,
          5,
          null,
          5,
          5,
          null,
          5,
          5,
          5,
          null,
          null,
          null,
          4.3,
          4.9,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          5,
          null,
          null,
          4.9,
          4.6,
          5,
          null,
          null,
          null,
          null,
          4,
          null,
          5,
          null,
          2.6,
          4.3,
          4.7,
          2.5,
          4.5,
          4.3,
          4.4,
          null,
          null,
          4.5,
          3.8,
          4,
          4.5,
          3.7,
          4.3,
          4.4,
          3.8,
          4.3,
          3.8,
          5,
          3.6,
          4,
          4.3,
          4.7,
          5,
          4.7,
          4.6,
          3.1,
          4.4,
          5,
          3.6,
          2.8,
          4.4,
          4.6,
          4.2,
          null,
          3.8,
          3.5,
          4.1,
          4.5,
          4.3,
          4.4,
          4.4,
          4.2,
          4,
          4.3,
          4.6,
          4.4,
          4.2,
          4.4,
          4.4,
          4.3,
          4.6,
          4.4,
          4.5,
          4.6,
          4.6,
          4.6,
          4.4,
          4.5,
          4.5,
          4.3,
          4.4,
          4.6,
          4.3,
          4.8,
          4.2,
          4.6,
          4,
          4.6,
          4.3,
          3.6,
          4,
          4.5,
          4.4,
          4.5,
          4.2,
          4.5,
          4.3,
          4.2,
          4.2,
          4.3,
          4.3,
          4.1,
          4.5,
          4.3,
          4.2,
          4.1,
          4.3,
          4.2,
          4.1,
          4.1,
          3.7,
          3.9,
          3.7,
          3.6,
          4.1,
          4.1,
          4.1,
          4.3,
          4.3,
          4.2,
          4.5,
          4.1,
          3.8,
          4.4,
          4,
          4.2,
          4,
          4.4,
          4,
          4.4,
          4.1,
          4.3,
          4,
          4.4,
          4.2,
          4,
          4.5,
          4.6,
          4.3,
          4.2,
          4.3,
          4.6,
          4.4,
          4.4,
          4.5,
          4.3,
          4.2,
          4.2,
          4.4,
          4.6,
          4.2,
          3.6,
          4.5,
          4.4,
          3.8,
          4.7,
          3.6,
          4.2,
          3.6,
          4.3,
          4.4,
          4.5,
          4.1,
          4.3,
          4.3,
          4.7,
          4.3,
          4.2,
          4.2,
          4.3,
          4.2,
          4.3,
          4.6,
          4.4,
          4.3,
          3.8,
          4.6,
          4.5,
          4.1,
          4.4,
          4.3,
          3.8,
          4,
          3.3,
          4.1,
          4.1,
          4.2,
          4.1,
          4.4,
          4.1,
          4.2,
          4.5,
          4.3,
          4.1,
          4.5,
          4.4,
          4.6,
          4.5,
          4.6,
          4.7,
          4.3,
          4.4,
          4.4,
          4.7,
          4.1,
          4.2,
          4.5,
          4.2,
          4.3,
          4.1,
          4.6,
          4.2,
          4.2,
          4.2,
          4.2,
          4,
          4.4,
          4,
          4.5,
          3.9,
          4.5,
          4.2,
          4.3,
          4.4,
          4.5,
          4.6,
          4.3,
          4.7,
          4.4,
          4,
          4.5,
          4.1,
          4.4,
          4.5,
          4.4,
          4.3,
          3.8,
          4.5,
          4.1,
          4.6,
          4.8,
          4,
          4.7,
          4.7,
          4.1,
          4.5,
          3.6,
          4.5,
          4.7,
          4.7,
          4.5,
          4.2,
          4.5,
          4.4,
          4.5,
          4.5,
          4.4,
          3.7,
          4.3,
          4.5,
          4.4,
          3.3,
          4.3,
          4.4,
          4.5,
          4.4,
          4.2,
          4.5,
          4.7,
          4.5,
          4.6,
          4.6,
          4.4,
          4.3,
          4.3,
          4.6,
          4.4,
          4.5,
          4.5,
          4.2,
          4,
          4.4,
          4.7,
          4.3,
          4.6,
          4.4,
          4.5,
          4.3,
          4.3,
          4.4,
          4.4,
          4.6,
          4.3,
          4.2,
          4.3,
          3.9,
          4.3,
          4.4,
          4.2,
          4.3,
          4.3,
          4.3,
          4.1,
          4.4,
          4.3,
          4,
          4,
          4,
          4.4,
          4.3,
          4.1,
          4.2,
          3.9,
          4.4,
          4.4,
          4.1,
          4,
          4.3,
          4.2,
          4,
          4.1,
          4.1,
          4,
          4.3,
          4.5,
          4,
          4.4,
          4.1,
          4.3,
          4.3,
          4.2,
          4.3,
          4.4,
          3.8,
          4.4,
          4.4,
          4.6,
          4,
          4.2,
          4.6,
          4.1,
          4.2,
          4.6,
          4.6,
          4.4,
          4.7,
          4.4,
          4.3,
          4.5,
          4.2,
          3.8,
          4.4,
          4.6,
          4.2,
          4.5,
          4.5,
          4.2,
          4.1,
          4.3,
          4,
          4.3,
          4.5,
          4.2,
          4.3,
          4.4,
          4.2,
          4.1,
          4.4,
          4.7,
          4.6,
          4.2,
          4.3,
          4.3,
          4.5,
          4.6,
          4.5,
          4.4,
          4.7,
          4.2,
          4.3,
          4.2,
          3.9,
          3.9,
          4.2,
          4.3,
          4.6,
          4.3,
          4,
          4,
          4,
          4.6,
          4.3,
          4.2,
          4.3,
          4.4,
          4,
          4.6,
          4.7,
          4.3,
          4,
          4.5,
          4.7,
          4.4,
          4.8,
          3.3,
          4.3,
          3.9,
          4.4,
          3.9,
          4.4,
          4.4,
          4.1,
          4,
          3.1,
          2.9,
          4,
          4.5,
          4.3,
          4.1,
          4.3,
          4.5,
          4.6,
          4.4,
          4.2,
          4.3,
          3.4,
          4.6,
          4.2,
          4,
          4.1,
          4,
          4.6,
          4.5,
          4.4,
          3.5,
          4,
          4.8,
          4.1,
          4.6,
          4.3,
          4.6,
          4.5,
          4.3,
          4.5,
          4,
          4.6,
          4.1,
          3.5,
          4.5,
          3.9,
          4.6,
          4.6,
          4.5,
          4.5,
          4.4,
          4,
          4.2,
          4.2,
          4.5,
          4.1,
          4.2,
          4.4,
          4.4,
          4.1,
          4.3,
          4.5,
          4.5,
          4.4,
          4.5,
          4.7,
          4.4,
          4.1,
          4.4,
          4.4,
          4.3,
          4,
          4.7,
          4.3,
          4.6,
          3.9,
          3.6,
          4,
          4.1,
          4.2,
          3.9,
          4.3,
          3.1,
          3.7,
          3.4,
          4.4,
          3.6,
          3.3,
          3.7,
          3,
          3.6,
          4.8,
          3.9,
          3.8,
          4.3,
          4.5,
          3.4,
          3.7,
          4.4,
          4.1,
          4.5,
          4,
          3.9,
          4.4,
          4.8,
          4.3,
          3.7,
          4.2,
          3.5,
          4.3,
          4.7,
          4.3,
          4.1,
          3.1,
          4.3,
          4.1,
          4.2,
          4.3,
          4.3,
          4.3,
          4.6,
          4.4,
          4.2,
          4.2,
          4.4,
          4.4,
          4.4,
          4.4,
          4.4,
          3.7,
          4.4,
          3.6,
          4.4,
          4,
          4.1,
          4.4,
          4.4,
          4.3,
          4.2,
          4.3,
          4.3,
          4.2,
          4.4,
          4.1,
          4.6,
          4.4,
          4.1,
          4.5,
          4.5,
          4.2,
          4.2,
          4.2,
          4.5,
          4.7,
          4,
          4.2,
          4.1,
          4.4,
          4.4,
          4.2,
          4.2,
          4.1,
          4.5,
          4.6,
          4.1,
          4.2,
          4.1,
          4,
          4.6,
          3.1,
          4.6,
          4.5,
          3.2,
          4.3,
          null,
          4.6,
          4.4,
          4.6,
          4.5,
          4.6,
          null,
          4.4,
          4.2,
          4.4,
          3.1,
          3.6,
          4.1,
          4.2,
          3.5,
          3.9,
          3,
          3.9,
          4.5,
          3.4,
          4.4,
          3.4,
          4.3,
          3.7,
          3.5,
          3.8,
          3.6,
          3.1,
          3.8,
          4.2,
          4,
          4.3,
          4.3,
          4.5,
          4.5,
          4.5,
          4.4,
          4.4,
          4.3,
          4.2,
          4.7,
          4.4,
          4.3,
          4.4,
          4.3,
          4.5,
          4.7,
          4.5,
          4.6,
          4.7,
          4.6,
          4.8,
          3.9,
          4.5,
          4.6,
          4.5,
          4.4,
          4.5,
          4,
          4.3,
          4,
          4.4,
          4.1,
          4.3,
          4.1,
          4.3,
          4.2,
          4.2,
          4.2,
          4.2,
          4.3,
          4.5,
          4.4,
          4.5,
          4.1,
          4.4,
          4.5,
          4.3,
          4.4,
          4.1,
          4.4,
          4.2,
          4.1,
          4.6,
          4.5,
          4.3,
          4.1,
          4.1,
          4.2,
          4.1,
          4.6,
          4.5,
          4,
          3.5,
          4.4,
          4.4,
          4.4,
          4.1,
          4.2,
          4.6,
          4.4,
          4.6,
          4.6,
          4.5,
          4.7,
          4.4,
          4.5,
          4.6,
          4.6,
          4,
          4.6,
          4.5,
          4.7,
          4.7,
          4.4,
          4.3,
          4.7,
          4.1,
          4.7,
          4.4,
          4.6,
          4.5,
          4.4,
          4.4,
          4.3,
          4.3,
          4.6,
          4.7,
          4.3,
          4.5,
          4.6,
          4.4,
          4.5,
          4.7,
          4.3,
          3.7,
          4.7,
          4.5,
          4.4,
          4.3,
          4.8,
          4.6,
          4.1,
          4.7,
          4.1,
          4.2,
          4.3,
          4.2,
          4,
          4.2,
          3.9,
          4.3,
          4.1,
          4.2,
          4.4,
          4.3,
          4.3,
          4.4,
          4.3,
          4.1,
          4.2,
          4.1,
          4.1,
          4.2,
          4.1,
          4.4,
          4.1,
          4.3,
          4.6,
          4.1,
          4.6,
          4.2,
          4.1,
          4.2,
          4.5,
          4.3,
          4.2,
          4,
          4.2,
          4.2,
          4.4,
          4.4,
          4.3,
          4.3,
          4.6,
          4.5,
          4.1,
          4.3,
          4.4,
          4.2,
          4.2,
          4.1,
          4.5,
          4.7,
          4.3,
          4.4,
          4.4,
          3.8,
          4.4,
          4.3,
          4.2,
          4.5,
          3.2,
          4.5,
          4.2,
          4.4,
          4.7,
          4.4,
          4,
          4.4,
          4,
          4.6,
          4.5,
          4.2,
          4,
          4.4,
          4.5,
          3.9,
          4.2,
          4.3,
          4.2,
          4.2,
          4.4,
          4.7,
          4.6,
          3.1,
          4.4,
          4.1,
          4.5,
          4.6,
          4.3,
          3.9,
          4.5,
          4.3,
          3.7,
          4.5,
          4.4,
          4,
          4,
          4.4,
          4.7,
          4.6,
          4.2,
          4.5,
          4.6,
          4,
          4.5,
          4.4,
          4.3,
          4.5,
          4.5,
          4.4,
          4.6,
          4.3,
          4.5,
          4.3,
          4.1,
          4.2,
          4.2,
          4.6,
          4.2,
          4.3,
          4.3,
          4.5,
          4.2,
          4.6,
          4.4,
          4.3,
          4.6,
          4.2,
          4.2,
          4.2,
          4,
          4.3,
          4.6,
          4.3,
          4,
          4.2,
          4.2,
          4.5,
          4.2,
          4.4,
          4.6,
          4.3,
          4.6,
          4.4,
          4.6,
          4.6,
          4.1,
          4.4,
          4.1,
          4.3,
          4.1,
          4.1,
          4.5,
          3.9,
          null,
          3.8,
          null,
          null,
          4.6,
          4.7,
          null,
          4,
          null,
          4.7,
          4.1,
          3.7,
          null,
          4.1,
          3.7,
          4.6,
          4.4,
          4.6,
          4.1,
          4.4,
          4.7,
          4.4,
          null,
          4.8,
          4,
          4.9,
          null,
          4.8,
          4.4,
          4.7,
          4.2,
          4.6,
          4.6,
          4.5,
          4.6,
          4.1,
          3.8,
          4.8,
          4.8,
          null,
          4.5,
          4,
          4.4,
          4.7,
          null,
          3.9,
          4.4,
          4.4,
          4.5,
          4.4,
          4.8,
          4.4,
          4.8,
          4.5,
          4.7,
          4.5,
          3.5,
          4.4,
          4.3,
          4.4,
          4.2,
          4.6,
          4.4,
          4.4,
          3.9,
          4.3,
          4.5,
          4.2,
          3.7,
          4.2,
          3.9,
          3.6,
          4.5,
          4.3,
          4.3,
          4.2,
          4.6,
          4.5,
          4.5,
          4.2,
          3.9,
          4.8,
          3.8,
          4.5,
          4.5,
          4.2,
          4,
          4.2,
          4.3,
          4.3,
          4.2,
          4.3,
          3.6,
          3.9,
          4.8,
          3.9,
          3.7,
          4.6,
          4.4,
          4.4,
          4.2,
          4.1,
          3.8,
          4.4,
          4.5,
          4.6,
          4.7,
          4.3,
          4.5,
          4.3,
          3.7,
          3.9,
          3.6,
          4.5,
          4.4,
          3.8,
          4.6,
          4.2,
          4.3,
          3.8,
          4.4,
          3.1,
          4.6,
          4.1,
          4.5,
          4,
          4.5,
          4.3,
          null,
          3.7,
          3.9,
          3.5,
          3.3,
          4.3,
          4.4,
          4.4,
          4.5,
          4.4,
          4.3,
          4.5,
          4.3,
          4.6,
          4.1,
          4.2,
          3.5,
          4,
          3.8,
          4.3,
          4.3,
          4.1,
          4.3,
          4.5,
          4.4,
          4,
          4.1,
          4.6,
          4.3,
          3.9,
          4.5,
          4.7,
          4.3,
          4.5,
          3.1,
          4.7,
          3.8,
          4,
          4.2,
          4,
          4.2,
          3.4,
          4.6,
          4.5,
          4,
          4.4,
          4.2,
          4.1,
          4.4,
          4,
          3.7,
          4.6,
          4.5,
          4.6,
          4.5,
          3.9,
          4.3,
          4.4,
          4.3,
          4.4,
          3.6,
          4.5,
          3.6,
          4.1,
          4.4,
          4.1,
          4.2,
          4.7,
          3.9,
          3.9,
          4.4,
          4.6,
          4,
          4.3,
          4.2,
          4.3,
          4,
          4.1,
          4.6,
          4.5,
          4.2,
          4.3,
          4.2,
          4.2,
          4,
          4.2,
          4.3,
          3.9,
          4,
          4.5,
          4.1,
          4.5,
          4.6,
          4.2,
          4.1,
          4.4,
          4.4,
          4.2,
          4.5,
          4.2,
          4.4,
          4.4,
          4,
          4.3,
          4.4,
          4.2,
          4.3,
          4.1,
          4.4,
          4.3,
          4.4,
          4.2,
          4.7,
          4.3,
          4.5,
          3.7,
          4.3,
          4.2,
          4.1,
          4.5,
          4.8,
          4.3,
          4.7,
          4.3,
          4.2,
          3.7,
          4.6,
          4.5,
          4.3,
          4.5,
          4.2,
          4.2,
          4.3,
          4.3,
          4.4,
          3.7,
          4.4,
          4.4,
          4.2,
          3.5,
          4.2,
          4.2,
          4.2,
          3.9,
          4.3,
          3.7,
          4.3,
          4.3,
          4.6,
          4.6,
          3.9,
          4.6,
          4.1,
          4.8,
          4.3,
          4.4,
          3.3,
          4.2,
          3.8,
          3.7,
          4.5,
          4.1,
          4.4,
          3.7,
          4.8,
          4.3,
          4.1,
          4.5,
          4.4,
          4.3,
          3.8,
          4.5,
          3.7,
          4.5,
          4.6,
          4.3,
          4.4,
          4.3,
          4.3,
          4.4,
          4.2,
          4.9,
          4.6,
          4.6,
          3.4,
          3.8,
          4.7,
          4.6,
          3.8,
          4.4,
          3.9,
          4.1,
          4.5,
          3.7,
          4.4,
          3.8,
          3.1,
          5,
          4.4,
          null,
          4.3,
          2.9,
          3.1,
          3.3,
          4.1,
          4.4,
          4.5,
          4.3,
          4.3,
          2.2,
          4.2,
          4.5,
          3.9,
          4.1,
          3.3,
          4.5,
          4.1,
          4.8,
          4.1,
          4.5,
          null,
          4.5,
          4.3,
          4.4,
          4.7,
          4.4,
          4.2,
          4.2,
          4.5,
          4.6,
          4.7,
          4.8,
          4.7,
          4.7,
          1.7,
          4.5,
          4,
          3.6,
          2,
          4.7,
          4.1,
          4.3,
          4.3,
          4.5,
          4.4,
          4.6,
          3.7,
          4.5,
          4,
          4.8,
          4,
          4.7,
          4.8,
          4.6,
          4.3,
          4.2,
          4.8,
          4.2,
          4.2,
          4.5,
          4.6,
          4.5,
          4.3,
          4.8,
          4.2,
          4.4,
          4.5,
          4.2,
          4.6,
          4.6,
          4.5,
          4.5,
          4.5,
          4.4,
          4.1,
          4.6,
          4.5,
          4.5,
          4.3,
          4.3,
          3.3,
          3.7,
          4.5,
          4.4,
          3.1,
          4,
          3.9,
          4.4,
          4.8,
          3.6,
          3.4,
          4.7,
          4.4,
          4.4,
          4.5,
          4.3,
          4.5,
          4,
          4.3,
          4.5,
          4,
          4.2,
          4.3,
          4.6,
          4.4,
          4.3,
          4.2,
          4.3,
          4.3,
          4.6,
          3.6,
          4.2,
          4.2,
          4.4,
          4.3,
          4.9,
          4.5,
          4.2,
          3.8,
          4.2,
          1,
          4.4,
          4,
          null,
          4.4,
          4.4,
          4.5,
          null,
          3.4,
          3.8,
          null,
          3.7,
          null,
          4.1,
          4.4,
          4.2,
          4.5,
          4.3,
          4.2,
          3.6,
          4.4,
          4.6,
          4.5,
          4.4,
          4.2,
          4.3,
          1.8,
          3.8,
          4.4,
          3,
          3.4,
          4.6,
          3.7,
          3,
          4.6,
          3.1,
          4.3,
          4.3,
          3.8,
          4.5,
          3.6,
          null,
          4.2,
          4.5,
          4.2,
          3.3,
          4.3,
          4.2,
          3.8,
          2.9,
          4.5,
          4.3,
          4.9,
          4.4,
          4.4,
          4.4,
          2.9,
          4.2,
          4,
          4.3,
          4.3,
          3.9,
          null,
          4,
          4.6,
          3.7,
          4,
          4.6,
          4.4,
          4.5,
          3,
          3.1,
          4.5,
          4.5,
          4.5,
          4.1,
          4.6,
          4.2,
          null,
          3.9,
          3.9,
          3.9,
          4.2,
          3.7,
          2.8,
          4.1,
          4.4,
          2.7,
          4.7,
          4.2,
          4.4,
          4,
          4,
          4.7,
          4.3,
          4.4,
          4,
          4.3,
          4.2,
          4.6,
          3.3,
          2.3,
          4.2,
          4.1,
          null,
          3.2,
          3.5,
          4.6,
          4.1,
          4.1,
          4.1,
          null,
          4.7,
          3.5,
          3.9,
          null,
          null,
          4.1,
          4.7,
          null,
          4.6,
          4.5,
          4.7,
          4.9,
          null,
          4.3,
          4.1,
          4.4,
          4.2,
          4.1,
          4.6,
          4.3,
          4.4,
          4.5,
          4.6,
          4.8,
          4.3,
          4.8,
          4.8,
          3.7,
          4.1,
          3.7,
          4.2,
          4.5,
          4.6,
          null,
          4.9,
          4.4,
          4.6,
          null,
          null,
          4,
          4.8,
          4.3,
          4.4,
          4.2,
          4.6,
          null,
          4.8,
          4,
          4.3,
          4.7,
          4.3,
          4,
          4,
          4,
          4.1,
          4.6,
          3.1,
          4.9,
          4.5,
          4,
          4,
          3.6,
          4.5,
          4.2,
          4.3,
          3.9,
          4.3,
          4.3,
          4.4,
          4.3,
          4.4,
          4.3,
          4.4,
          3.5,
          4.4,
          4.4,
          4.5,
          4.4,
          4.4,
          3.9,
          3.9,
          4.3,
          4.9,
          3.7,
          3.3,
          3.8,
          3.5,
          4.2,
          3.5,
          3.6,
          3.9,
          4.2,
          4.2,
          4,
          3.2,
          2.4,
          4.5,
          4.1,
          4.2,
          3.7,
          4.3,
          4.2,
          4.1,
          3.9,
          3.8,
          4.4,
          3.4,
          4,
          4.4,
          3.3,
          4.8,
          4.5,
          3.4,
          4.3,
          4.3,
          4.1,
          4,
          4.4,
          3.8,
          4.4,
          3.8,
          4.2,
          3.8,
          4.8,
          4.7,
          4.3,
          3.5,
          3.9,
          4.2,
          4.6,
          4.7,
          4.5,
          3.8,
          4.5,
          3.7,
          3.5,
          4.1,
          3.9,
          4.1,
          4.6,
          4.4,
          4.6,
          4,
          4.4,
          4.4,
          4.4,
          4,
          3.8,
          3.9,
          null,
          3.7,
          4.2,
          4.1,
          4.3,
          4.3,
          4.1,
          4.4,
          3.8,
          4.3,
          3.8,
          4.5,
          3.8,
          3.9,
          4,
          4.3,
          4.4,
          4.6,
          null,
          5,
          4.4,
          4.4,
          4.2,
          4,
          null,
          4.2,
          null,
          4.6,
          4.1,
          null,
          3.9,
          4.6,
          null,
          4.4,
          3.9,
          4.6,
          4.5,
          3,
          null,
          3.6,
          4.4,
          4.6,
          null,
          4.3,
          5,
          4.5,
          4.1,
          4.1,
          4.5,
          null,
          4.8,
          4.5,
          null,
          4,
          4.8,
          3.7,
          null,
          4.5,
          4.7,
          2.7,
          2.9,
          4.2,
          4.4,
          4.2,
          3.4,
          2.6,
          4.1,
          4.3,
          4.2,
          4.4,
          null,
          4,
          4.4,
          4.1,
          4.8,
          2.2,
          3.8,
          3.1,
          3.1,
          3.8,
          3.8,
          4.3,
          3.6,
          4,
          4.4,
          4.6,
          null,
          4.5,
          1.8,
          4.7,
          3.9,
          4.4,
          3.6,
          4.4,
          3.9,
          3.9,
          3.8,
          null,
          4.2,
          4.1,
          4.4,
          4.4,
          null,
          null,
          5,
          4.1,
          4.5,
          4.3,
          null,
          3.9,
          3.5,
          null,
          3.2,
          null,
          null,
          null,
          null,
          3.3,
          4.8,
          4.5,
          3.7,
          4.8,
          4.7,
          4.3,
          3.8,
          4.1,
          4.7,
          null,
          4.2,
          null,
          null,
          4.2,
          4.6,
          4.6,
          4.2,
          4.1,
          3.5,
          4.1,
          4.4,
          4.5,
          4.1,
          4.5,
          4.3,
          4.4,
          4.3,
          4.3,
          3.8,
          3.9,
          4.1,
          4.8,
          4,
          4.3,
          4,
          3.7,
          3.3,
          4.1,
          3,
          4.1,
          3,
          3.8,
          4,
          4.6,
          4.1,
          3.6,
          4.7,
          3.5,
          3.1,
          3.9,
          4.2,
          4.4,
          4.4,
          3.3,
          4.8,
          4.2,
          4.5,
          3.8,
          4.1,
          4.2,
          4.2,
          4,
          4.2,
          3.8,
          4.5,
          3.7,
          4.3,
          4.5,
          4.1,
          4.2,
          4.5,
          4,
          4.3,
          4.7,
          4.1,
          3.2,
          3.9,
          4.1,
          3.4,
          3,
          4.6,
          4.6,
          4.1,
          3.1,
          3.4,
          4.2,
          4.2,
          3,
          2.4,
          4.1,
          2.9,
          4,
          4,
          3.8,
          2.4,
          4.4,
          3.7,
          4.3,
          4.6,
          4.2,
          4.8,
          3.6,
          3.2,
          4,
          3.5,
          4.4,
          2.5,
          3.9,
          4.4,
          4.2,
          4.2,
          4.3,
          4.1,
          4.2,
          4.2,
          3.9,
          3.9,
          3.8,
          4.5,
          4.2,
          3.7,
          4.3,
          4.6,
          3.3,
          3.6,
          4.1,
          3.8,
          3.3,
          4.5,
          4.8,
          4.6,
          null,
          4.3,
          4.5,
          4.2,
          3.8,
          4.7,
          4.2,
          4.3,
          4.7,
          4.7,
          3.6,
          4.2,
          4,
          4.3,
          4.7,
          4.6,
          4.8,
          3.8,
          4.2,
          3.2,
          4.3,
          4.3,
          4.4,
          1.9,
          2.5,
          4.2,
          4.3,
          4,
          4.5,
          4.8,
          4.2,
          4.7,
          4.4,
          4.4,
          4.4,
          4.6,
          4.6,
          4.2,
          4,
          4.2,
          4.5,
          4.7,
          4.2,
          4.4,
          3.2,
          4.1,
          4,
          4.7,
          4.6,
          4.6,
          4.7,
          4.8,
          4.6,
          4.2,
          4.3,
          3.3,
          4.7,
          4.5,
          4,
          4.5,
          4.2,
          4.6,
          4.2,
          4.7,
          4.7,
          4.2,
          4.3,
          4.3,
          null,
          4.5,
          4.4,
          4.5,
          4.6,
          4.3,
          3.8,
          4.5,
          4.5,
          3.9,
          4,
          2.7,
          4.5,
          4,
          2.9,
          4.6,
          4.4,
          4.6,
          4.4,
          4.4,
          4.2,
          4.8,
          4.3,
          4.6,
          4.6,
          4.1,
          4.4,
          4.5,
          4.4,
          4.2,
          4.5,
          4.6,
          4.5,
          4.6,
          4,
          4.5,
          4.2,
          3.9,
          4.7,
          4.5,
          4.3,
          4.2,
          3.9,
          4.1,
          2.2,
          4.2,
          4.2,
          2.8,
          3.9,
          4.3,
          4.8,
          4.3,
          4.1,
          4.2,
          4.4,
          4.1,
          4.6,
          4.3,
          4.3,
          3.8,
          4.8,
          null,
          3.8,
          3.9,
          null,
          4.3,
          4.3,
          4.3,
          4.1,
          4.2,
          4.5,
          4.6,
          3.8,
          4.7,
          4.5,
          4.7,
          4.5,
          4.8,
          4.6,
          4.3,
          4.8,
          3.4,
          4.6,
          4.5,
          4.4,
          4.4,
          4.6,
          4.2,
          4.3,
          4.3,
          3.8,
          3.9,
          4.3,
          4.8,
          4.2,
          4.5,
          4.8,
          null,
          4.6,
          4.2,
          4.2,
          4,
          null,
          4.3,
          4.8,
          4.1,
          4.7,
          null,
          4.8,
          4,
          3.5,
          3.8,
          3.5,
          3.3,
          3.7,
          3.3,
          3.4,
          1.8,
          1.6,
          1.9,
          3.6,
          3.4,
          3.2,
          2.5,
          4.7,
          2.6,
          2.8,
          3.9,
          4.2,
          3.9,
          4,
          3.5,
          3.1,
          3.7,
          3.6,
          3.4,
          4,
          3.7,
          1.7,
          2.4,
          4.3,
          3.3,
          4.1,
          4.1,
          3.4,
          3,
          3,
          2.2,
          3.7,
          3.7,
          4.8,
          3.7,
          3.6,
          3.7,
          4.4,
          3.8,
          3.7,
          3.7,
          4.8,
          4.2,
          4.1,
          4.1,
          4.3,
          3.9,
          3.8,
          4,
          4.5,
          4.6,
          4.1,
          4.4,
          3.7,
          3.9,
          3.9,
          4.5,
          4.5,
          4.4,
          4.3,
          4.5,
          4.7,
          4.7,
          4.1,
          3.3,
          4.2,
          4.1,
          3.4,
          4.3,
          4.9,
          4.5,
          4.1,
          4.4,
          4.4,
          3.4,
          4.1,
          4.1,
          3.5,
          3.8,
          4.6,
          5,
          4.2,
          3.9,
          3.7,
          4.3,
          1.9,
          4.2,
          4.2,
          4,
          4.4,
          4.2,
          4.5,
          4.3,
          4.4,
          4,
          4.2,
          4.3,
          4,
          4.3,
          3.9,
          4,
          3.7,
          4.1,
          3.9,
          4.2,
          4.4,
          4.5,
          3.9,
          3.9,
          4.2,
          4.5,
          4.1,
          4.7,
          null,
          4.4,
          4.7,
          4.7,
          4,
          3.9,
          null,
          3.8,
          3.9,
          4.4,
          4.5,
          null,
          3.8,
          3.5,
          4.2,
          4.7,
          2,
          4.3,
          2.8,
          3.9,
          3.4,
          4.5,
          4.7,
          2,
          4.4,
          null,
          null,
          null,
          4.7,
          3.3,
          4.1,
          null,
          4.2,
          4.4,
          null,
          3.7,
          null,
          3.9,
          5,
          4.1,
          4.8,
          4,
          null,
          4.1,
          3.8,
          4.6,
          null,
          4.3,
          4.1,
          4.1,
          4.4,
          4.2,
          4.1,
          4.3,
          4.3,
          4,
          4.5,
          4.1,
          3.8,
          null,
          4.5,
          null,
          4.1,
          null,
          3.9,
          3.7,
          null,
          4.5,
          4.4,
          null,
          3.4,
          null,
          null,
          null,
          null,
          2.3,
          4.7,
          3.4,
          4.7,
          null,
          null,
          5,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          3.6,
          5,
          null,
          null,
          4.3,
          null,
          null,
          null,
          5,
          null,
          null,
          4.1,
          4.1,
          4.5,
          null,
          null,
          3.4,
          null,
          null,
          null,
          2.9,
          4.6,
          5,
          null,
          null,
          null,
          3.9,
          3.9,
          5,
          4.1,
          5,
          3,
          4,
          1,
          null,
          4,
          null,
          null,
          4,
          null,
          3.8,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          3.5,
          null,
          null,
          null,
          null,
          null,
          2.6,
          null,
          3.4,
          null,
          null,
          4.5,
          3.4,
          3.8,
          3,
          4.4,
          4,
          3.9,
          4.6,
          3.8,
          3.8,
          4,
          3.6,
          4.4,
          3.1,
          4.2,
          4.6,
          4,
          5,
          3.3,
          4.1,
          3.6,
          3.2,
          4.4,
          4,
          4.4,
          4.5,
          4.3,
          4.7,
          4.4,
          null,
          4.4,
          4.4,
          3.7,
          3.3,
          null,
          3.7,
          3,
          2.6,
          null,
          null,
          3.5,
          3.9,
          4.6,
          3.8,
          4.4,
          4.5,
          4.5,
          4.7,
          4.4,
          null,
          5,
          null,
          null,
          2.8,
          null,
          4.6,
          2.8,
          5,
          5,
          2.8,
          null,
          3.8,
          4.1,
          null,
          4.8,
          5,
          5,
          null,
          4.4,
          null,
          null,
          5,
          4.1,
          null,
          4.8,
          null,
          null,
          4.8,
          4,
          null,
          5,
          4.6,
          null,
          5,
          null,
          null,
          null,
          4.5,
          5,
          null,
          null,
          null,
          4.4,
          4,
          null,
          3.9,
          4.1,
          4.8,
          4.3,
          3.9,
          4.5,
          null,
          3.7,
          4.3,
          4.2,
          3.7,
          3.8,
          4.6,
          null,
          null,
          null,
          3.3,
          3,
          3.9,
          3.9,
          null,
          4.1,
          null,
          4.6,
          null,
          null,
          null,
          null,
          4.4,
          3.8,
          4.4,
          null,
          4.9,
          3.6,
          4.3,
          3.6,
          4.1,
          3.4,
          4.5,
          4.7,
          4.5,
          4.4,
          4.3,
          4.6,
          4.2,
          4.8,
          4.6,
          4.8,
          4.6,
          4.6,
          4.6,
          4.1,
          4.7,
          4.7,
          4.8,
          3.6,
          4.7,
          4.6,
          4.5,
          4.7,
          4.5,
          4.3,
          4.5,
          4.8,
          4.7,
          4.7,
          4.7,
          4.7,
          4.7,
          4.7,
          4.7,
          4.6,
          4.7,
          4.7,
          4.6,
          3.8,
          3.9,
          4,
          3.8,
          4.1,
          2.9,
          3.8,
          3.5,
          4.2,
          4.6,
          4.4,
          4.4,
          4.1,
          3.9,
          3.6,
          4,
          3.8,
          4.3,
          4.6,
          3.6,
          3.9,
          4,
          4.2,
          4.2,
          4.2,
          4.5,
          4.7,
          3.5,
          4.5,
          4.6,
          4.2,
          4.1,
          4.5,
          4.2,
          4.5,
          4.4,
          3.7,
          4.4,
          4.3,
          4.3,
          4.5,
          3.8,
          4.5,
          4.5,
          4.4,
          4.7,
          3.5,
          4.9,
          4,
          4.1,
          4.2,
          null,
          4.4,
          4.1,
          4.6,
          4.6,
          4.7,
          4.5,
          null,
          4.4,
          4.4,
          4.2,
          4.4,
          4,
          4.2,
          4.2,
          4.2,
          4.8,
          3.7,
          3.4,
          4.3,
          4.3,
          4.6,
          4.2,
          4.6,
          4.1,
          4.6,
          4.3,
          4.4,
          4.7,
          4.2,
          3.8,
          4.3,
          3.7,
          4.3,
          2.9,
          4.3,
          4.3,
          4,
          3.3,
          4.1,
          5,
          3.9,
          4.6,
          4,
          3.6,
          4,
          4.5,
          null,
          2.9,
          4.2,
          4.5,
          null,
          4.6,
          4.7,
          4.2,
          4.7,
          4.7,
          3.9,
          4.7,
          3.7,
          4.8,
          4,
          4.6,
          4.4,
          4.7,
          3.6,
          4.4,
          4.6,
          2.9,
          null,
          4.5,
          5,
          3.7,
          null,
          3.7,
          null,
          4.2,
          3,
          5,
          4.4,
          4.7,
          4.3,
          3.9,
          null,
          4.4,
          4.3,
          null,
          null,
          null,
          null,
          4.6,
          4.5,
          3.9,
          4.7,
          5,
          5,
          null,
          5,
          null,
          null,
          null,
          2.7,
          4.6,
          4.4,
          4.1,
          3.8,
          4.4,
          4.6,
          4.1,
          4.5,
          4.2,
          4.7,
          4.3,
          4.3,
          4.2,
          3.8,
          4,
          4.6,
          4.3,
          4.3,
          4.3,
          4.7,
          4.4,
          3.8,
          4.6,
          4.6,
          4.5,
          4.5,
          3.8,
          4.3,
          4.3,
          3.7,
          3.2,
          4,
          3.8,
          4.4,
          3.8,
          3.4,
          2.9,
          4.5,
          3.7,
          3.8,
          4.1,
          4.1,
          3.7,
          3.6,
          null,
          3,
          4.1,
          3.8,
          4.2,
          4.4,
          4.5,
          3.6,
          3.6,
          3.7,
          3.9,
          null,
          4.2,
          4.1,
          4.5,
          2.8,
          2.6,
          4.3,
          4.4,
          4.1,
          4,
          4.3,
          3.9,
          3.5,
          3.7,
          4.3,
          4.3,
          4.1,
          4.2,
          4.3,
          4.3,
          4.1,
          4.4,
          4.4,
          4.4,
          4.3,
          2.4,
          4.5,
          4.5,
          4.5,
          4.4,
          4.6,
          3.4,
          3.9,
          4.3,
          4.4,
          4.5,
          4.4,
          4,
          4.3,
          4.2,
          4,
          4.4,
          4.6,
          4,
          4.4,
          3.5,
          4.6,
          4,
          4,
          4.1,
          4.1,
          3.3,
          3.9,
          4.1,
          4.2,
          4,
          4.5,
          3.8,
          3.5,
          4.3,
          4.6,
          4.7,
          3.8,
          4.7,
          4.8,
          3.2,
          4.5,
          3.9,
          3.6,
          3.7,
          4.4,
          4.1,
          4,
          3.1,
          4,
          2.8,
          3.7,
          2.7,
          3.9,
          3.6,
          4.5,
          3.5,
          4,
          null,
          3.8,
          3.6,
          4.2,
          4.4,
          4,
          4.7,
          null,
          null,
          4.1,
          4,
          null,
          4.7,
          null,
          null,
          3.8,
          5,
          4.4,
          null,
          null,
          4,
          null,
          3.8,
          4.1,
          4.3,
          null,
          4.5,
          4.4,
          3.4,
          4.1,
          4.1,
          3.8,
          4.3,
          4.4,
          4.4,
          3.3,
          3.3,
          4.4,
          3.7,
          3.4,
          2.3,
          3.3,
          2.7,
          null,
          4.6,
          3.5,
          3.4,
          4.3,
          4.1,
          4.7,
          4.4,
          3.8,
          3,
          4.4,
          4.2,
          4.5,
          3.5,
          4.5,
          4.5,
          null,
          4.5,
          4,
          4.8,
          null,
          4.3,
          1.7,
          4.3,
          4.2,
          null,
          4.2,
          4.3,
          null,
          4,
          4.2,
          4.6,
          4.1,
          4.6,
          4.1,
          4,
          null,
          3.3,
          4.1,
          null,
          null,
          4,
          null,
          null,
          4.4,
          4.2,
          3.8,
          3.1,
          null,
          5,
          4.2,
          4.7,
          4.4,
          4.6,
          4.4,
          2.9,
          2.7,
          null,
          4.6,
          4,
          4.8,
          5,
          3.9,
          4.2,
          4.1,
          4.7,
          4.2,
          4.2,
          3.7,
          4.1,
          4.1,
          3.8,
          4.6,
          null,
          4.4,
          4.2,
          4.4,
          null,
          null,
          4.6,
          5,
          null,
          4.5,
          null,
          3.5,
          null,
          3.9,
          4.4,
          3,
          null,
          3.1,
          4.4,
          null,
          3,
          null,
          null,
          3.7,
          null,
          3.7,
          3.9,
          4.8,
          null,
          null,
          4.6,
          4.6,
          4.5,
          4.3,
          5,
          4.3,
          null,
          4.7,
          4,
          3.8,
          5,
          4.8,
          4.5,
          4.3,
          null,
          null,
          null,
          null,
          3.7,
          null,
          null,
          null,
          null,
          null,
          4.3,
          null,
          3.8,
          null,
          null,
          4.5,
          4.6,
          4.1,
          4.2,
          null,
          5,
          null,
          null,
          null,
          null,
          3.3,
          3.6,
          4,
          4,
          4,
          4.2,
          4.3,
          4.2,
          4.5,
          4.3,
          4.6,
          4.4,
          4.2,
          4.2,
          4.2,
          3.4,
          3.2,
          4,
          4.6,
          3.2,
          4.4,
          4,
          4.7,
          null,
          3.7,
          3.9,
          4.2,
          4.1,
          3.5,
          4.8,
          4.3,
          3.9,
          null,
          3.5,
          4.3,
          4.4,
          4.8,
          3.9,
          3.8,
          4.2,
          4,
          4,
          4.4,
          4.7,
          4.5,
          4.3,
          4.3,
          4.1,
          2.1,
          3.7,
          4.4,
          4.2,
          2.1,
          2.4,
          4.1,
          3.1,
          5,
          null,
          3.5,
          4.2,
          null,
          4.7,
          null,
          null,
          null,
          4.8,
          null,
          4.5,
          4.6,
          4.6,
          4.9,
          4.8,
          4,
          3.9,
          4.1,
          4.1,
          4.5,
          4.2,
          4,
          4.4,
          1.9,
          null,
          null,
          3.7,
          null,
          4.2,
          4,
          4.3,
          2.5,
          4.4,
          null,
          4.7,
          4.6,
          4.4,
          4.3,
          4.4,
          3.6,
          3.8,
          4.4,
          4.4,
          3,
          3.7,
          5,
          null,
          4.2,
          4.8,
          4.4,
          4.1,
          4.7,
          4.7,
          3.3,
          4,
          null,
          null,
          1,
          4.4,
          4.2,
          4.4,
          4.6,
          4.3,
          4.4,
          null,
          3.7,
          2.9,
          4,
          3.3,
          null,
          null,
          4.2,
          4.5,
          2.3,
          5,
          3.6,
          null,
          3.9,
          4.4,
          4.2,
          4.8,
          4.3,
          4.2,
          4.4,
          4.3,
          4,
          1.4,
          3.3,
          4.3,
          null,
          4.6,
          4.7,
          4.2,
          3.9,
          3.4,
          4.3,
          4.8,
          4.8,
          4.5,
          3.3,
          4.2,
          4.9,
          4.2,
          4.6,
          4.1,
          4.6,
          4,
          4.2,
          5,
          4.1,
          3.7,
          4.1,
          3.8,
          4.7,
          3.5,
          4,
          4.2,
          3.3,
          3.7,
          3.4,
          3.7,
          5,
          4.4,
          5,
          4.8,
          4.4,
          4.9,
          4,
          4.4,
          4.5,
          4.9,
          4.4,
          5,
          4.8,
          4.6,
          4.3,
          3.8,
          4.3,
          4.3,
          4.1,
          4.5,
          4.2,
          3.8,
          4.3,
          4.4,
          4.2,
          4.2,
          3.8,
          4.2,
          4,
          4.2,
          4.3,
          4.3,
          4.4,
          4.1,
          4.5,
          4.2,
          4.3,
          4.4,
          4.5,
          4.3,
          null,
          4,
          3.4,
          4.4,
          3.8,
          3,
          4.1,
          4.4,
          4.1,
          4.1,
          4.1,
          4.5,
          4.1,
          2.2,
          3.9,
          4,
          4.3,
          3.9,
          4,
          4.2,
          4.2,
          3.6,
          4.3,
          null,
          null,
          4.4,
          2.6,
          4.1,
          null,
          3.5,
          4.2,
          null,
          null,
          3.7,
          4.5,
          2.4,
          null,
          2.9,
          4.2,
          4.2,
          4,
          2.6,
          4.4,
          4.8,
          4.7,
          4.4,
          4.6,
          2.7,
          3.8,
          1.7,
          4.6,
          3.3,
          null,
          null,
          4.6,
          2.3,
          4.5,
          null,
          4.8,
          null,
          5,
          null,
          4.1,
          null,
          null,
          null,
          null,
          null,
          null,
          4.9,
          3,
          null,
          null,
          4.8,
          4.5,
          3.4,
          null,
          null,
          null,
          null,
          4,
          3.7,
          2.2,
          4.8,
          null,
          5,
          null,
          null,
          null,
          4.5,
          null,
          4.3,
          3.8,
          null,
          4.5,
          4.5,
          null,
          4.8,
          4.5,
          4.4,
          null,
          3.9,
          4.3,
          4.3,
          null,
          4,
          null,
          4.1,
          3.7,
          3.4,
          4.5,
          4.4,
          null,
          4.4,
          2.4,
          4.1,
          4.6,
          4.3,
          4.3,
          4.7,
          null,
          4.2,
          4.3,
          4.3,
          4.7,
          4.2,
          4.1,
          4.6,
          4.7,
          4.3,
          4.5,
          4.6,
          2.9,
          4,
          3,
          3.9,
          null,
          4.8,
          3.9,
          4,
          null,
          null,
          null,
          5,
          null,
          null,
          null,
          4,
          null,
          5,
          null,
          null,
          4.5,
          4.8,
          null,
          4.6,
          4.2,
          null,
          3.4,
          2.6,
          2.4,
          null,
          4.6,
          3.3,
          4.1,
          4.6,
          3.9,
          null,
          null,
          null,
          null,
          null,
          4,
          3.4,
          4.5,
          4,
          5,
          3.6,
          3.5,
          4.6,
          4.9,
          3.7,
          5,
          4,
          3.9,
          5,
          4,
          null,
          null,
          4.9,
          4.4,
          3.6,
          4.7,
          4.3,
          3.9,
          4.5,
          4.6,
          4.3,
          4.6,
          null,
          null,
          4.5,
          4.2,
          4.5,
          4,
          4.2,
          4.7,
          4.4,
          4.2,
          4,
          2.3,
          4.5,
          3.6,
          4.4,
          3.9,
          3.9,
          4.8,
          4.2,
          3.7,
          4,
          null,
          1,
          null,
          4.4,
          4.2,
          4.7,
          3.6,
          null,
          4.1,
          3.3,
          null,
          null,
          5,
          4.3,
          4.7,
          null,
          null,
          null,
          null,
          null,
          4,
          null,
          4.4,
          4.6,
          5,
          4.3,
          4.3,
          null,
          3.8,
          4.1,
          4.6,
          4,
          4.7,
          3.6,
          4.5,
          4,
          4.1,
          4,
          3.8,
          null,
          4.5,
          2.8,
          null,
          4.2,
          4.8,
          5,
          5,
          null,
          null,
          null,
          4.3,
          4.3,
          4.5,
          4.5,
          5,
          3.8,
          4.4,
          5,
          4.7,
          null,
          4.7,
          2.2,
          4.6,
          4.6,
          4.7,
          4.6,
          4.4,
          3.8,
          3.6,
          4.9,
          4.8,
          null,
          4.4,
          5,
          4.8,
          null,
          null,
          4.6,
          5,
          4.6,
          5,
          null,
          4,
          4.3,
          4.5,
          4,
          3.2,
          4.6,
          4.2,
          4.8,
          3,
          4.3,
          3.9,
          3.9,
          4.8,
          3.5,
          4.4,
          4.1,
          4.2,
          4.7,
          4,
          4.4,
          4.2,
          5,
          3.5,
          3.8,
          null,
          4.5,
          4.1,
          null,
          4.3,
          null,
          4.3,
          4.4,
          null,
          null,
          null,
          null,
          null,
          4,
          4.3,
          4,
          4.9,
          4.7,
          null,
          null,
          null,
          4.3,
          4.2,
          4.1,
          3.2,
          3.9,
          4.2,
          4.1,
          4.9,
          null,
          3.7,
          3.5,
          4.9,
          null,
          3.3,
          4.9,
          3.4,
          null,
          4.5,
          4.3,
          5,
          3.5,
          null,
          null,
          4.4,
          3.7,
          null,
          4.8,
          null,
          4.3,
          4.9,
          null,
          null,
          null,
          null,
          null,
          null,
          5,
          4.3,
          4.3,
          null,
          null,
          4.4,
          1,
          4.5,
          null,
          4,
          5,
          4.9,
          4.7,
          3.9,
          null,
          3.2,
          3.5,
          null,
          3.7,
          3,
          4.2,
          4,
          4.1,
          null,
          4,
          3.1,
          4.4,
          3.2,
          3.9,
          4.2,
          4.7,
          4,
          null,
          null,
          4,
          3.7,
          4.1,
          4.4,
          4,
          3.9,
          3.6,
          null,
          null,
          4.6,
          null,
          4.4,
          1.9,
          4.3,
          4.5,
          4.1,
          3.8,
          4.1,
          4.6,
          3.7,
          3.9,
          4.4,
          null,
          4.5,
          null,
          null,
          4.4,
          3.5,
          4.3,
          4.5,
          4.5,
          4.4,
          4.2,
          4.3,
          null,
          3.6,
          4,
          3.8,
          null,
          null,
          4.4,
          3.9,
          4.1,
          4.3,
          3.5,
          null,
          4.3,
          null,
          4.7,
          4.5,
          3.8,
          4.5,
          4.2,
          4.3,
          4.1,
          4.6,
          4.5,
          3,
          2.6,
          3.4,
          4,
          3.4,
          3.7,
          4.5,
          3.9,
          null,
          4,
          4.5,
          4,
          4.4,
          1.8,
          4.3,
          5,
          5,
          null,
          3.2,
          4.2,
          4.6,
          3.8,
          3.9,
          4.2,
          null,
          4,
          3.8,
          4.1,
          3.9,
          4.4,
          2.1,
          1.8,
          4.2,
          2,
          null,
          null,
          3.4,
          3.6,
          3.7,
          4.7,
          4.5,
          4.6,
          3.6,
          null,
          null,
          4.4,
          4.6,
          null,
          null,
          null,
          2.3,
          null,
          null,
          null,
          3,
          5,
          4.5,
          4.4,
          4.5,
          4.8,
          4.3,
          null,
          3.7,
          4.5,
          null,
          4.3,
          null,
          4.4,
          3.4,
          4.5,
          1.6,
          null,
          null,
          4.5,
          null,
          null,
          null,
          null,
          null,
          null,
          3.8,
          4.3,
          4.3,
          3,
          4,
          4.8,
          4,
          4.5,
          null,
          4.7,
          1.9,
          4.9,
          4.4,
          4.7,
          null,
          4.9,
          4.8,
          null,
          null,
          4.5,
          null,
          null,
          4.6,
          4.5,
          null,
          5,
          null,
          3.9,
          null,
          null,
          4.3,
          null,
          4.8,
          4.3,
          4.6,
          null,
          null,
          4.1,
          4.5,
          4.3,
          3.8,
          2.4,
          4.3,
          2.8,
          4.5,
          4.6,
          4.1,
          4.2,
          4.6,
          4.3,
          4.6,
          5,
          5,
          3.9,
          4.2,
          3.9,
          4.2,
          null,
          null,
          null,
          3.5,
          null,
          4,
          null,
          3.7,
          3.8,
          4.3,
          null,
          null,
          4.5,
          4.6,
          null,
          4.5,
          4.3,
          4.4,
          null,
          null,
          4.6,
          null,
          3.9,
          null,
          3.9,
          3.1,
          3.9,
          4.4,
          4.4,
          4.4,
          4.6,
          3.9,
          4.6,
          2.5,
          4.6,
          2.8,
          4,
          3.4,
          3.8,
          4.5,
          4.8,
          3.3,
          3.9,
          3.5,
          4.5,
          4,
          null,
          3.6,
          null,
          4.7,
          3.9,
          5,
          4.6,
          3.9,
          4.9,
          3.6,
          3.7,
          3.9,
          2.7,
          3.8,
          2.8,
          3.5,
          4.1,
          null,
          4.7,
          4.3,
          4.5,
          4.1,
          null,
          null,
          4.8,
          null,
          null,
          null,
          3.4,
          5,
          null,
          null,
          4.3,
          4.4,
          1.8,
          4.2,
          3.3,
          null,
          5,
          null,
          null,
          null,
          4.8,
          null,
          4.5,
          5,
          4.5,
          4.7,
          null,
          4.6,
          null,
          null,
          4.5,
          null,
          null,
          3.5,
          null,
          null,
          3.5,
          2.9,
          null,
          null,
          5,
          null,
          null,
          null,
          null,
          null,
          4.8,
          4.7,
          4.3,
          4.1,
          5,
          5,
          null,
          null,
          null,
          4,
          null,
          4.3,
          null,
          4.1,
          5,
          null,
          5,
          null,
          null,
          null,
          4,
          null,
          null,
          3.5,
          null,
          null,
          null,
          4.1,
          null,
          null,
          4.6,
          null,
          null,
          null,
          4.1,
          4.2,
          2.2,
          4.3,
          4.7,
          3.8,
          null,
          4.1,
          null,
          3.1,
          4.2,
          null,
          3,
          4.8,
          3.7,
          3.1,
          4.6,
          2.9,
          4.2,
          4.7,
          4.5,
          2.8,
          null,
          4.4,
          4.4,
          4.1,
          4.6,
          3,
          4.1,
          null,
          4.4,
          null,
          null,
          null,
          null,
          4.5,
          4.5,
          3.6,
          2,
          4,
          4.5,
          4,
          4.3,
          null,
          4.5,
          4.8,
          4.5,
          null,
          null,
          4.2,
          4.5,
          4.6,
          null,
          null,
          3.9,
          null,
          null,
          4.3,
          3.9,
          4.3,
          3.7,
          4.7,
          4.3,
          1.7,
          4.5,
          null,
          4.7,
          null,
          5,
          null,
          null,
          null,
          4.6,
          2.9,
          null,
          4.8,
          2.3,
          null,
          3.8,
          4.2,
          null,
          4.4,
          null,
          4,
          4.1,
          3.4,
          4.3,
          4,
          4.2,
          4.1,
          4.7,
          4.2,
          3.9,
          3.8,
          4.1,
          4.2,
          3.8,
          4.7,
          3.7,
          4.3,
          4,
          4.2,
          4.6,
          4.7,
          4.3,
          4.2,
          3.5,
          4.7,
          4.7,
          4.5,
          4.5,
          4.7,
          4.6,
          4.6,
          4.9,
          4.2,
          4.3,
          4.4,
          4.5,
          4.3,
          4.4,
          4.4,
          3,
          4.8,
          4.7,
          4.6,
          4,
          3.7,
          3.5,
          2.7,
          4.7,
          4.1,
          4.5,
          4.6,
          4.5,
          4.4,
          4.3,
          4.4,
          4.5,
          4.6,
          4.6,
          3.1,
          4.7,
          4.6,
          4.7,
          null,
          4.4,
          4.8,
          null,
          4.1,
          null,
          4.3,
          4.4,
          4.7,
          4,
          3.4,
          4.6,
          null,
          2.8,
          null,
          3.1,
          null,
          3.9,
          null,
          4.2,
          null,
          4.1,
          null,
          4.2,
          null,
          null,
          3.3,
          4.4,
          null,
          4.4,
          4.6,
          4.4,
          4.5,
          4.1,
          2.2,
          4.2,
          4.8,
          null,
          null,
          3.2,
          4.3,
          4.6,
          4.4,
          4.5,
          null,
          3.4,
          null,
          null,
          3.3,
          4.2,
          null,
          2.4,
          3.2,
          3.1,
          3.8,
          null,
          4.8,
          3.7,
          4.2,
          3.7,
          3,
          3.9,
          4,
          5,
          null,
          4,
          2.7,
          3.1,
          4.1,
          4,
          3.8,
          3.8,
          4.3,
          3.5,
          4.5,
          3.9,
          null,
          4.5,
          null,
          null,
          3.3,
          4.1,
          null,
          null,
          5,
          null,
          3.7,
          4.8,
          1.5,
          5,
          4.6,
          null,
          null,
          5,
          4.7,
          null,
          4.7,
          null,
          5,
          4.5,
          null,
          5,
          null,
          null,
          5,
          4.2,
          1,
          4.5,
          4.2,
          5,
          4.2,
          4.4,
          3.9,
          4.6,
          3.8,
          null,
          null,
          4,
          null,
          null,
          null,
          4.6,
          null,
          null,
          3.4,
          null,
          5,
          4.6,
          null,
          null,
          null,
          null,
          5,
          null,
          null,
          null,
          null,
          3,
          null,
          3.8,
          4.2,
          4.3,
          null,
          null,
          null,
          null,
          null,
          null,
          4.4,
          3.2,
          null,
          null,
          null,
          3.5,
          4.4,
          4.5,
          3.7,
          5,
          4.5,
          4.5,
          4.1,
          null,
          3.4,
          4.1,
          null,
          null,
          5,
          4.2,
          4.1,
          4.1,
          null,
          4.2,
          4.3,
          null,
          5,
          4.4,
          null,
          4.3,
          4.5,
          null,
          4.8,
          4.4,
          null,
          null,
          null,
          4.4,
          null,
          null,
          null,
          null,
          null,
          4.7,
          null,
          null,
          null,
          null,
          null,
          4.3,
          4.4,
          4.6,
          2.8,
          5,
          4.4,
          2,
          5,
          4.4,
          5,
          null,
          3.4,
          4.4,
          null,
          3.4,
          null,
          null,
          3.3,
          1.5,
          null,
          null,
          null,
          5,
          null,
          4.3,
          4.3,
          null,
          null,
          null,
          null,
          2.2,
          4.6,
          null,
          null,
          5,
          null,
          null,
          4.7,
          null,
          null,
          null,
          null,
          null,
          null,
          4.7,
          3.5,
          4.3,
          3.6,
          4.3,
          3.6,
          2.6,
          4.7,
          4.5,
          4,
          4.6,
          5,
          4.2,
          null,
          null,
          4.2,
          null,
          4.7,
          4.5,
          3.6,
          3.8,
          4.2,
          3.8,
          3.5,
          4.1,
          null,
          null,
          5,
          null,
          4.2,
          4.1,
          null,
          null,
          3.6,
          4.3,
          4.1,
          4.4,
          null,
          null,
          4,
          5,
          5,
          null,
          3.8,
          4.3,
          4.7,
          4.5,
          4.4,
          4.7,
          3.7,
          4.3,
          null,
          4,
          3.9,
          null,
          4.9,
          3.5,
          3.5,
          null,
          4.4,
          4.2,
          null,
          null,
          null,
          4.3,
          null,
          4.7,
          4.5,
          4.4,
          4.2,
          4.4,
          3.3,
          4.9,
          4.5,
          4.7,
          4.7,
          3.9,
          4.7,
          4.7,
          null,
          4.4,
          4.8,
          4.8,
          4,
          3.7,
          5,
          3,
          3.9,
          null,
          null,
          4.6,
          4.6,
          4.3,
          4.2,
          null,
          5,
          null,
          4.5,
          null,
          4.2,
          null,
          1,
          null,
          4.6,
          null,
          null,
          null,
          null,
          null,
          null,
          4.1,
          4.7,
          null,
          null,
          null,
          4.4,
          4.8,
          4.2,
          null,
          null,
          5,
          4.6,
          4.5,
          5,
          2.9,
          null,
          4.4,
          null,
          null,
          3,
          4.5,
          2.4,
          4.3,
          3.9,
          1.9,
          4.4,
          5,
          4,
          4.7,
          3.9,
          5,
          4.2,
          4.2,
          2.8,
          4.2,
          1,
          3.9,
          4.1,
          4.1,
          3.2,
          null,
          5,
          null,
          5,
          4.3,
          4.1,
          3.8,
          4,
          null,
          4.2,
          5,
          4.1,
          5,
          null,
          null,
          null,
          4.1,
          3.5,
          3.9,
          4.2,
          3.8,
          3.7,
          2.8,
          4.7,
          4.3,
          4.1,
          null,
          4.7,
          4.2,
          4,
          3.2,
          4.6,
          5,
          4.4,
          4.5,
          4,
          4.6,
          4.7,
          null,
          4.1,
          4.5,
          4.3,
          null,
          5,
          5,
          4.2,
          4,
          null,
          5,
          2.7,
          4.1,
          null,
          null,
          4.4,
          null,
          4.3,
          4.1,
          4.7,
          4.4,
          null,
          null,
          3.6,
          4,
          4.1,
          4,
          4.1,
          4,
          null,
          null,
          null,
          null,
          5,
          3.6,
          4.1,
          4.3,
          4.1,
          2.6,
          2.7,
          3.8,
          5,
          4.2,
          null,
          5,
          2.6,
          4.4,
          4.3,
          null,
          null,
          4.7,
          2.8,
          4.1,
          null,
          3.6,
          null,
          null,
          4,
          null,
          null,
          5,
          5,
          4.7,
          4.7,
          4.7,
          4.6,
          4.6,
          4.6,
          4.6,
          3.8,
          4.1,
          3.4,
          4.5,
          4.5,
          4.5,
          4,
          4.7,
          4.4,
          4.4,
          4.7,
          4.7,
          4.2,
          4.2,
          4,
          3.6,
          4.7,
          4.4,
          4.3,
          4.4,
          4.4,
          4.4,
          4.3,
          3.3,
          3.6,
          4.5,
          4.3,
          3.6,
          4.3,
          4.4,
          4.1,
          4.2,
          4.8,
          4.2,
          null,
          3.7,
          4.5,
          4.1,
          4.6,
          4.5,
          4.7,
          4.3,
          4.3,
          4.6,
          4.1,
          4.2,
          4.3,
          4.2,
          4.3,
          3.6,
          4.2,
          4.2,
          4,
          4.6,
          4.3,
          4.4,
          4.5,
          4.3,
          4.2,
          4.7,
          4.6,
          4.5,
          4.1,
          4.5,
          3.4,
          4.2,
          3.9,
          4.4,
          4.1,
          4.3,
          3.9,
          4,
          null,
          5,
          4.2,
          4.3,
          4.5,
          4.5,
          null,
          4.5,
          3.5,
          3.6,
          1.9,
          4.3,
          3.2,
          1.6,
          4.2,
          4.9,
          4.4,
          3.6,
          3.4,
          null,
          4.7,
          2.9,
          4.3,
          4.4,
          4.3,
          4.6,
          4.6,
          4.2,
          3.5,
          null,
          2.9,
          4.4,
          4.7,
          4.5,
          4.4,
          2,
          4.7,
          4.4,
          4.4,
          4.4,
          null,
          4.5,
          3.5,
          4.2,
          3.7,
          4.4,
          3.4,
          4.3,
          3.6,
          4.6,
          4.6,
          4.2,
          4.3,
          3.8,
          1.4,
          4.4,
          null,
          4,
          null,
          4.6,
          3.9,
          3.8,
          4.7,
          4.2,
          4.3,
          4.1,
          4.3,
          4.2,
          null,
          3.6,
          4.6,
          null,
          4.3,
          5,
          5,
          5,
          4.5,
          3.8,
          3.9,
          null,
          null,
          4.8,
          4.1,
          4,
          4.8,
          4.8,
          4.4,
          null,
          4.1,
          null,
          null,
          null,
          4.4,
          4.3,
          3.7,
          4.3,
          null,
          null,
          4.3,
          2.7,
          4.4,
          null,
          4.5,
          null,
          4.2,
          null,
          3.7,
          null,
          5,
          null,
          4.2,
          3.9,
          null,
          4.5,
          null,
          3.5,
          4.7,
          4.2,
          4.4,
          4.7,
          4.6,
          4,
          null,
          2.5,
          null,
          null,
          3.8,
          4.7,
          4.5,
          4.6,
          4.6,
          5,
          3.9,
          5,
          null,
          2.3,
          null,
          3.6,
          4,
          3.7,
          4.2,
          4.1,
          4.4,
          4.6,
          4.2,
          4.4,
          4.3,
          4,
          4.5,
          3.9,
          3.7,
          4.6,
          null,
          3.8,
          4.7,
          null,
          3.4,
          4.5,
          4.1,
          4.3,
          4.6,
          4.3,
          4.3,
          4,
          null,
          3.5,
          2.3,
          null,
          3.9,
          4.1,
          4.5,
          4.6,
          4.4,
          3.1,
          4.3,
          3.3,
          5,
          null,
          4.2,
          3.8,
          3.3,
          null,
          5,
          1,
          4.5,
          4.6,
          4.3,
          4.4,
          4.1,
          4.5,
          4.2,
          3.7,
          4.1,
          3.9,
          4.5,
          3.6,
          3.2,
          3.5,
          3.7,
          4.6,
          4.8,
          4.1,
          4.4,
          4.3,
          null,
          4,
          3.1,
          4.2,
          4.1,
          null,
          3.5,
          4.3,
          3.8,
          4.3,
          4.8,
          2.3,
          4.3,
          4.4,
          3.6,
          5,
          null,
          4.3,
          4.2,
          4.3,
          4.7,
          3.9,
          4.4,
          4.4,
          4.3,
          2.6,
          4.3,
          null,
          3.8,
          4.2,
          4.2,
          4.1,
          4,
          4.4,
          4.7,
          null,
          2.6,
          4.3,
          5,
          3.7,
          4.3,
          4.1,
          4.3,
          3.8,
          4.5,
          5,
          null,
          null,
          3.9,
          3.8,
          4.6,
          null,
          4.6,
          4.7,
          5,
          null,
          4.5,
          null,
          3.5,
          3.3,
          null,
          4.8,
          3.9,
          null,
          4.5,
          null,
          3.4,
          5,
          5,
          null,
          null,
          4.8,
          3.6,
          null,
          4.3,
          4,
          4.5,
          4.6,
          4.7,
          3.8,
          3.4,
          4.7,
          4,
          4.6,
          2,
          4.3,
          2,
          3.6,
          4.7,
          3.5,
          4,
          3.5,
          4.3,
          4.1,
          4.6,
          3.8,
          4.3,
          3.8,
          1,
          3.8,
          3.3,
          4.8,
          3,
          4,
          3.6,
          3.8,
          4.3,
          3.9,
          4.2,
          4,
          4.6,
          4.6,
          4.5,
          3.7,
          4.4,
          4.6,
          3.9,
          4.4,
          4.5,
          4.5,
          4.3,
          3.7,
          3.9,
          3.9,
          4.3,
          4.1,
          4.1,
          4.4,
          4.4,
          4.2,
          4.5,
          4.6,
          4.4,
          4.4,
          4.4,
          3.8,
          2.6,
          4.2,
          4.4,
          4.2,
          4,
          4.2,
          4,
          4.4,
          4.5,
          3.2,
          4.3,
          3.4,
          2.3,
          4.4,
          4.3,
          null,
          4.3,
          3.6,
          4.6,
          4.2,
          4,
          3.2,
          1.7,
          2.2,
          3.8,
          4.8,
          null,
          4.4,
          4.5,
          4.8,
          4.6,
          3.7,
          4.4,
          3.5,
          3.8,
          3.8,
          4.3,
          null,
          4.6,
          null,
          4.5,
          null,
          3.7,
          null,
          4.8,
          4.3,
          5,
          3.9,
          3,
          null,
          5,
          null,
          4.4,
          4.6,
          3.9,
          3.3,
          4.1,
          3,
          4.2,
          4.2,
          4.2,
          4,
          3.2,
          4.6,
          3.2,
          4.1,
          3.3,
          4.4,
          4,
          4.2,
          4.1,
          4.3,
          3.3,
          4.7,
          4.4,
          3.1,
          3.1,
          3.3,
          3.9,
          3.4,
          3.9,
          4.4,
          3.9,
          3.7,
          4.5,
          4.7,
          null,
          4.6,
          null,
          5,
          3,
          null,
          3.9,
          null,
          5,
          3.9,
          null,
          null,
          null,
          null,
          null,
          null,
          3.8,
          null,
          3.6,
          3.9,
          3.8,
          null,
          4.8,
          null,
          null,
          null,
          null,
          4.5,
          4,
          4.7,
          4.8,
          4.7,
          4.7,
          4.5,
          4,
          null,
          3.2,
          null,
          null,
          4.7,
          4.5,
          null,
          4.5,
          4.9,
          4.2,
          5,
          5,
          null,
          5,
          null,
          null,
          4.2,
          4.7,
          null,
          null,
          4.5,
          null,
          null,
          null,
          4.5,
          4.5,
          3.8,
          4.5,
          null,
          4.3,
          3.9,
          3.9,
          4.2,
          4.5,
          4.1,
          4.1,
          4.6,
          3.3,
          4.5,
          2.2,
          4.4,
          3.9,
          4.5,
          2.8,
          3.3,
          null,
          null,
          null,
          3.1,
          3.2,
          4.4,
          4.1,
          null,
          5,
          null,
          null,
          3.8,
          null,
          null,
          4.3,
          4.6,
          null,
          null,
          3.7,
          4.9,
          4.3,
          5,
          null,
          null,
          2.9,
          4.4,
          4.4,
          null,
          4.6,
          4.5,
          4,
          null,
          3.5,
          4.8,
          4.8,
          3.5,
          4.6,
          4.4,
          4.3,
          4.7,
          4.4,
          4,
          3.5,
          4.6,
          3.9,
          3.5,
          4.6,
          4.2,
          4.6,
          4,
          4.2,
          3.8,
          4.1,
          4.1,
          4.2,
          4,
          3.6,
          3.3,
          4.7,
          4.5,
          3.9,
          4.3,
          null,
          3.9,
          4.3,
          null,
          null,
          3.1,
          4.4,
          3.7,
          4.6,
          4.6,
          2.7,
          null,
          null,
          4.1,
          4.2,
          1.9,
          4.6,
          null,
          4.2,
          null,
          4.4,
          4.2,
          3.9,
          2.4,
          5,
          3.9,
          null,
          3.7,
          5,
          4,
          3,
          4.1,
          4.8,
          4.5,
          3.5,
          null,
          null,
          null,
          4.5,
          4.5,
          4.3,
          4.4,
          4.4,
          4.2,
          4.5,
          4.3,
          4.3,
          4.2,
          4.9,
          4.1,
          1.4,
          4,
          5,
          null,
          4.2,
          4.3,
          3.8,
          4.1,
          4.2,
          4.1,
          4.3,
          3.6,
          4.3,
          4.6,
          4.4,
          5,
          4.4,
          4.5,
          null,
          4.7,
          null,
          5,
          null,
          null,
          3.4,
          3.1,
          4.5,
          5,
          4.3,
          4.4,
          4.3,
          4,
          4.5,
          4,
          4.1,
          3.8,
          4.6,
          4.1,
          4.3,
          4.3,
          4.2,
          4.3,
          4.4,
          3.9,
          4.5,
          3.5,
          4.2,
          4.1,
          4.1,
          4.7,
          4.5,
          3.3,
          4.2,
          null,
          null,
          4.6,
          null,
          4.3,
          4.3,
          4,
          4.7,
          5,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          5,
          4.9,
          null,
          null,
          null,
          null,
          null,
          null,
          4.3,
          null,
          null,
          null,
          null,
          null,
          4.5,
          null,
          4.1,
          4.3,
          null,
          null,
          null,
          4.5,
          null,
          null,
          3.9,
          3.7,
          4.2,
          3.6,
          3.6,
          2.1,
          4.7,
          3.2,
          3,
          4.3,
          3,
          4.3,
          3.9,
          3.3,
          4.3,
          4,
          3.7,
          2.8,
          4.4,
          5,
          3.9,
          4.2,
          4.8,
          4,
          null,
          3,
          4.5,
          2.6,
          5,
          null,
          null,
          5,
          4.1,
          null,
          4.5,
          5,
          4.7,
          4.5,
          4.4,
          4.4,
          4.3,
          4.2,
          3,
          4.1,
          4.2,
          4.2,
          4,
          4.3,
          4.1,
          3.6,
          4.3,
          5,
          3.9,
          null,
          4.1,
          3.8,
          5,
          3.7,
          4.3,
          4.2,
          4.3,
          2.5,
          4.3,
          null,
          4.3,
          4.2,
          4.6,
          4,
          2.9,
          null,
          4.5,
          3.8,
          null,
          4.7,
          3.9,
          4.5,
          4.2,
          4.4,
          4.8,
          4.2,
          4.5,
          4.5,
          4.6,
          4.1,
          4.3,
          4.7,
          4.4,
          4.2,
          4.3,
          4.5,
          4.8,
          4.5,
          4.6,
          4.7,
          4.4,
          4.1,
          4.3,
          4.2,
          4.2,
          3.6,
          2.8,
          3.9,
          3.8,
          4.4,
          3.7,
          2.7,
          3.8,
          3.2,
          3.9,
          2.3,
          4.1,
          4.3,
          3.1,
          4.6,
          4.1,
          4.4,
          3.2,
          4.5,
          3.7,
          null,
          null,
          null,
          4.4,
          4.5,
          5,
          4.8,
          null,
          4.6,
          4,
          4.1,
          null,
          4.1,
          null,
          null,
          4.8,
          null,
          null,
          null,
          4.3,
          2.8,
          null,
          null,
          4.7,
          4.5,
          4.2,
          4.3,
          3.8,
          3.8,
          4.2,
          3.8,
          4,
          4,
          4.6,
          4,
          4.3,
          4.3,
          3.9,
          5,
          4,
          4.1,
          3.9,
          4.2,
          4.3,
          4.5,
          4.4,
          4.1,
          4.5,
          4.6,
          4.1,
          3.9,
          4.7,
          3.9,
          4.3,
          2.9,
          4.4,
          3.7,
          4.4,
          4.1,
          null,
          2.8,
          4.9,
          3.4,
          2.8,
          2.5,
          4.7,
          3.1,
          null,
          3.2,
          4.3,
          3.9,
          3.6,
          3.2,
          null,
          3.5,
          3.3,
          null,
          null,
          null,
          null,
          2.4,
          4.4,
          2.8,
          5,
          null,
          4.4,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          5,
          null,
          3.3,
          2.9,
          4.1,
          4.6,
          null,
          2.2,
          4.3,
          5,
          2.5,
          null,
          3,
          3.7,
          5,
          null,
          null,
          null,
          null,
          5,
          null,
          null,
          4.1,
          null,
          null,
          null,
          4.1,
          2.6,
          4.6,
          4.5,
          null,
          4.5,
          null,
          3.3,
          null,
          4.4,
          4.7,
          4.7,
          4,
          4.5,
          4.3,
          4.6,
          4.7,
          4.4,
          4,
          4.2,
          4.1,
          4.3,
          4.7,
          4.1,
          3.1,
          4,
          4.4,
          4.4,
          4.6,
          4,
          4.6,
          4.3,
          4.3,
          3.9,
          4.5,
          4.7,
          4.3,
          4.6,
          4.2,
          4.3,
          4.2,
          4.1,
          4.6,
          4.4,
          3.7,
          4.4,
          3.9,
          4.3,
          4.3,
          4.5,
          4.5,
          4.5,
          4.7,
          4.3,
          4.4,
          4.5,
          4.3,
          4.3,
          4.2,
          4.2,
          4.3,
          4.2,
          4.7,
          4.1,
          4.3,
          4.1,
          3.8,
          4.5,
          4.1,
          null,
          4.3,
          4.5,
          4.1,
          4.4,
          4.3,
          4.4,
          4.3,
          null,
          4.1,
          4.6,
          4.7,
          4.2,
          3.7,
          4.7,
          4.4,
          4.7,
          4.2,
          4.6,
          4.5,
          4.8,
          3.7,
          4.3,
          4.2,
          4.1,
          2.3,
          4.3,
          4.6,
          4.5,
          4,
          4.2,
          4.6,
          4.2,
          4.5,
          4.4,
          4,
          null,
          2.8,
          3.8,
          4.1,
          3.8,
          3.4,
          4.5,
          4.3,
          3.1,
          4.6,
          3.3,
          3.9,
          4.2,
          4.9,
          3.9,
          3.7,
          4.6,
          4.4,
          4,
          null,
          4.2,
          4.6,
          4.4,
          4.6,
          4.5,
          3.7,
          4.1,
          4.2,
          4,
          4.5,
          4.6,
          4.5,
          4.4,
          3.3,
          4.2,
          4.2,
          4,
          4,
          4,
          3.5,
          4.5,
          3.9,
          3.9,
          4.1,
          4.4,
          4.2,
          4.4,
          4.3,
          4.1,
          4,
          4.3,
          4.5,
          4.6,
          3.7,
          3.8,
          3.4,
          4.3,
          3.8,
          4.7,
          4.4,
          4.4,
          4.1,
          4.4,
          4,
          3.9,
          4.3,
          4.2,
          3.3,
          4,
          4.6,
          4.1,
          4.1,
          3.4,
          3.4,
          4.1,
          4,
          3.4,
          3.2,
          3.8,
          3.8,
          3.9,
          3.6,
          3.8,
          3.9,
          3.2,
          1,
          4.6,
          null,
          3.6,
          4.9,
          null,
          2.6,
          3.9,
          null,
          3.5,
          3.2,
          null,
          3.3,
          null,
          null,
          3.8,
          3.9,
          4.6,
          1.8,
          null,
          4.3,
          3.9,
          null,
          4.8,
          3.7,
          4,
          4.1,
          4.6,
          4,
          null,
          4.8,
          null,
          4,
          3.5,
          null,
          3,
          4.6,
          1.6,
          3.8,
          1.7,
          4.6,
          5,
          4.6,
          4.4,
          4.5,
          3.8,
          4,
          4.1,
          null,
          5,
          null,
          null,
          null,
          null,
          5,
          1,
          null,
          null,
          4.4,
          4.7,
          4.6,
          2.4,
          null,
          4.5,
          null,
          null,
          4.4,
          4.3,
          5,
          4.1,
          3.8,
          3.9,
          3.1,
          4.7,
          3.5,
          4.5,
          4.6,
          4.5,
          4.5,
          4.4,
          4.4,
          4.2,
          4.6,
          4.5,
          3.8,
          4.3,
          4.6,
          4.3,
          3.6,
          4.2,
          4.7,
          4.3,
          4.7,
          4.8,
          3.1,
          4.5,
          4.4,
          4.5,
          4.5,
          null,
          4.7,
          4.1,
          4.4,
          4.3,
          4.6,
          3.4,
          null,
          4.7,
          3.6,
          3.7,
          2.1,
          2,
          3.5,
          4.3,
          2.4,
          4.5,
          2.8,
          null,
          4.5,
          null,
          2.8,
          3.9,
          3.2,
          3.1,
          2.4,
          4.6,
          2.9,
          4,
          3.7,
          2.3,
          2.9,
          4.6,
          4.3,
          5,
          4.2,
          4.6,
          4.5,
          4.2,
          4.8,
          3.5,
          4.6,
          3.5,
          3.6,
          null,
          5,
          3,
          null,
          null,
          2.9,
          3.7,
          4.6,
          null,
          4.2,
          3.2,
          2.5,
          4.4,
          4.3,
          2.7,
          4,
          4.5,
          3.4,
          4.3,
          4.3,
          null,
          4.3,
          null,
          null,
          4,
          4.9,
          3.4,
          4.9,
          4.3,
          4.7,
          4.8,
          4.3,
          4.3,
          4,
          null,
          3.5,
          null,
          5,
          4.7,
          null,
          4.2,
          4.4,
          4.2,
          5,
          null,
          5,
          2,
          null,
          3.7,
          null,
          null,
          null,
          3.9,
          4.5,
          null,
          null,
          null,
          3.1,
          4.5,
          4.7,
          null,
          4.4,
          3.8,
          4.2,
          4.5,
          null,
          4.5,
          4.6,
          4.2,
          4.5,
          4.2,
          4.2,
          4.1,
          4.3,
          5,
          4.6,
          4,
          4.4,
          null,
          4.5,
          3.6,
          4.6,
          null,
          4,
          4.6,
          4.5,
          4.5,
          null,
          null,
          null,
          4.8,
          5,
          4.4,
          null,
          4,
          3.5,
          5,
          4,
          4.2,
          4,
          3.9,
          4.5,
          3.6,
          4.2,
          3,
          3,
          4,
          3.4,
          4.9,
          null,
          null,
          null,
          null,
          4,
          4.4,
          4.1,
          4.4,
          4,
          null,
          4.5,
          4.2,
          3.9,
          null,
          3.6,
          5,
          4.4,
          3.6,
          4.7,
          4.2,
          4.5,
          4.7,
          null,
          null,
          4.3,
          4.2,
          4.4,
          null,
          4.7,
          4.4,
          null,
          4.1,
          4.5,
          4.1,
          4,
          null,
          null,
          4.3,
          4.2,
          null,
          4.2,
          null,
          4.1,
          4.2,
          null,
          5,
          4,
          4,
          4.5,
          null,
          4.1,
          null,
          4.7,
          4.4,
          4.9,
          3.6,
          4.2,
          null,
          4.4,
          null,
          4.5,
          4.2,
          null,
          null,
          4.2,
          null,
          4.5,
          4.4,
          4.4,
          4.5,
          3.9,
          4.3,
          4.4,
          null,
          4.5,
          4,
          4.5,
          4,
          4.4,
          4.3,
          2.5,
          4.4,
          3.8,
          4.4,
          4.2,
          4.1,
          4.2,
          3.9,
          4.5,
          4.1,
          4.4,
          4.3,
          4.5,
          3.4,
          3.4,
          4.4,
          4.2,
          4.4,
          3.5,
          4.1,
          4.6,
          1.7,
          3.3,
          5,
          4.8,
          null,
          4.6,
          3.3,
          null,
          4.2,
          null,
          3.5,
          3.7,
          5,
          null,
          null,
          4.6,
          4.1,
          3.5,
          5,
          null,
          3.7,
          4,
          null,
          null,
          4.2,
          null,
          4.5,
          3.8,
          2.5,
          4,
          null,
          4,
          4.1,
          null,
          null,
          3.4,
          3.6,
          3.4,
          3.9,
          4.6,
          4.3,
          4.7,
          5,
          3.9,
          3.9,
          4.2,
          4.3,
          3.5,
          null,
          4.1,
          4.2,
          4.4,
          4.5,
          3.8,
          3.4,
          null,
          3.9,
          4.5,
          null,
          null,
          3,
          null,
          4.1,
          4.6,
          null,
          3.9,
          4.7,
          4.5,
          3.4,
          5,
          5,
          5,
          4,
          null,
          null,
          4,
          null,
          4.9,
          5,
          null,
          4.6,
          null,
          4.8,
          4.1,
          4.1,
          null,
          null,
          4.7,
          null,
          5,
          4.4,
          3.3,
          4,
          3.5,
          2.8,
          null,
          3.6,
          3.2,
          3.6,
          3.7,
          3.3,
          3.1,
          4.1,
          3.1,
          3.5,
          3.6,
          5,
          2.3,
          null,
          3.1,
          2.9,
          3,
          2.9,
          3.9,
          5,
          null,
          3.4,
          5,
          null,
          4.8,
          null,
          4.2,
          null,
          null,
          null,
          5,
          null,
          4.3,
          4.6,
          4.7,
          null,
          4.4,
          4.8,
          null,
          null,
          4.1,
          null,
          4.6,
          4.6,
          4,
          2.9,
          4.1,
          null,
          null,
          null,
          null,
          4.2,
          null,
          4.3,
          4.4,
          2.4,
          4.2,
          null,
          null,
          null,
          3.1,
          null,
          3,
          4.7,
          3.4,
          null,
          4.7,
          4.7,
          4.2,
          5,
          4.5,
          3.3,
          4.4,
          null,
          4.2,
          4.2,
          4.7,
          4.3,
          4.8,
          4.2,
          4,
          4.2,
          4.1,
          4.6,
          4.6,
          3.8,
          4.4,
          4,
          3.9,
          3.5,
          5,
          4.6,
          null,
          3.6,
          4.2,
          null,
          null,
          3.8,
          null,
          3.4,
          3.8,
          4.2,
          4.2,
          3.7,
          4,
          4.4,
          4.5,
          3.7,
          4.2,
          3.9,
          4,
          3.7,
          4.2,
          4,
          3.9,
          4.1,
          4.3,
          4.5,
          4.5,
          3.3,
          4.4,
          4.2,
          4.2,
          4.1,
          4.1,
          4.4,
          4.1,
          3.9,
          3.9,
          4.4,
          3.8,
          3,
          3.4,
          4.3,
          null,
          null,
          5,
          null,
          4.1,
          null,
          2.4,
          3.9,
          null,
          null,
          null,
          4,
          null,
          3,
          null,
          4.4,
          3.4,
          2.9,
          5,
          4.5,
          3.7,
          3,
          null,
          4,
          3.2,
          3.6,
          3.2,
          3.7,
          4.7,
          4.4,
          3.9,
          4.3,
          4.9,
          2.6,
          5,
          4.1,
          4,
          4.1,
          null,
          3.3,
          4.2,
          4,
          4.3,
          null,
          4.4,
          5,
          4.3,
          4.4,
          null,
          null,
          null,
          3.9,
          4.3,
          4,
          3.8,
          4.5,
          null,
          3.8,
          4.4,
          4.3,
          4.7,
          3.9,
          4.2,
          3.8,
          4.3,
          3.8,
          4.2,
          4.5,
          4.2,
          3.6,
          4,
          null,
          3.5,
          4.4,
          3.5,
          4.1,
          4.8,
          4.4,
          4.3,
          4,
          4.2,
          4.4,
          3.5,
          4.3,
          4.7,
          5,
          3.8,
          5,
          4.8,
          4.9,
          4.3,
          null,
          5,
          null,
          4.9,
          4.9,
          4.9,
          4.5,
          null,
          4.5,
          5,
          5,
          3,
          null,
          null,
          4.9,
          5,
          5,
          null,
          4.1,
          null,
          4.1,
          4.3,
          4.3,
          4.1,
          4.7,
          null,
          4.9,
          5,
          5,
          null,
          4.6,
          4.2,
          3.7,
          5,
          4.3,
          4,
          4.3,
          4,
          4,
          3.1,
          3.4,
          4.2,
          4.2,
          4.1,
          3.4,
          null,
          4,
          null,
          3.9,
          4.8,
          4.1,
          4.3,
          4.3,
          4.4,
          null,
          4.4,
          4.5,
          4.5,
          4.8,
          4.4,
          4.5,
          4.6,
          4.6,
          4.5,
          null,
          4.7,
          4.5,
          4.2,
          4.2,
          4.7,
          4.1,
          4.1,
          4.6,
          4.4,
          4.5,
          3.8,
          3.9,
          3.5,
          3.8,
          4.2,
          4.6,
          3.7,
          3.6,
          3.4,
          4,
          4.3,
          4.5,
          4.4,
          4.5,
          4.1,
          4.4,
          4.3,
          4.5,
          4.5,
          4.5,
          4.3,
          4.1,
          4.6,
          4.3,
          4,
          4.4,
          4.4,
          null,
          4.6,
          4.6,
          4.3,
          4.3,
          4.2,
          4.5,
          4,
          4.6,
          3.8,
          4.3,
          4.3,
          4.9,
          4,
          4.5,
          4.5,
          4.2,
          4.4,
          4.4,
          4,
          4.3,
          4.4,
          4.4,
          4,
          4.7,
          4.2,
          4.4,
          4.1,
          4.3,
          3.5,
          4.7,
          null,
          2.6,
          4.2,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          5,
          null,
          4.3,
          null,
          null,
          null,
          null,
          null,
          4.4,
          4.3,
          null,
          null,
          null,
          4.3,
          4.5,
          null,
          4.6,
          4.6,
          4.7,
          null,
          4.2,
          4.5,
          4.3,
          4.5,
          3.5,
          4.3,
          4.6,
          4.5,
          4.4,
          null,
          null,
          null,
          3.4,
          4.3,
          3.8,
          4.5,
          null,
          null,
          null,
          5,
          4.9,
          null,
          null,
          5,
          null,
          null,
          4.2,
          4.3,
          4.4,
          2.3,
          4.7,
          null,
          null,
          null,
          4.4,
          4.3,
          4.4,
          null,
          4,
          3.6,
          null,
          4.1,
          4.6,
          3.9,
          4.4,
          null,
          3.7,
          3.9,
          null,
          4.3,
          4.1,
          3.6,
          3.5,
          3.9,
          3.9,
          3.8,
          4,
          null,
          4.5,
          3.6,
          3.9,
          4.3,
          4,
          4.2,
          3.7,
          3.9,
          4.2,
          3.5,
          4,
          3.8,
          4.1,
          4.2,
          4.1,
          4.4,
          3.7,
          null,
          4.7,
          3.8,
          4,
          4.2,
          3.8,
          3.9,
          4,
          3.1,
          5,
          3.5,
          4.1,
          4.5,
          4.7,
          4.1,
          null,
          3.9,
          4,
          4.3,
          3.1,
          null,
          4.2,
          4.4,
          3.2,
          null,
          3.3,
          4.3,
          4.7,
          4.3,
          4.2,
          4.7,
          4.3,
          4.2,
          4.2,
          4.2,
          4.1,
          4.2,
          4.3,
          4.4,
          4.3,
          3.5,
          4.3,
          1.8,
          4.2,
          4.2,
          4.6,
          4,
          4.3,
          5,
          3.8,
          4.3,
          3,
          5,
          4.7,
          4.6,
          4.4,
          4.7,
          5,
          4.8,
          3,
          4.6,
          4.6,
          null,
          4.6,
          4.5,
          4.3,
          4.2,
          4.7,
          4.9,
          4.3,
          4.4,
          3.6,
          4.6,
          4.5,
          null,
          3.9,
          4.3,
          4.8,
          3.7,
          4.5,
          4.3,
          4.4,
          4,
          4.7,
          4.3,
          4.5,
          4.2,
          4.2,
          4.5,
          4.2,
          4.1,
          4.2,
          4.6,
          4.5,
          3.9,
          3.6,
          4.6,
          null,
          3.4,
          4.2,
          3.4,
          3.6,
          4.2,
          3.5,
          4.3,
          null,
          3.9,
          4.3,
          3.6,
          null,
          3.9,
          4.3,
          3.7,
          null,
          3.8,
          null,
          4.1,
          4.1,
          4.7,
          4.1,
          null,
          1.9,
          3.6,
          3.8,
          null,
          4.5,
          2.7,
          null,
          4.5,
          null,
          5,
          4,
          4.2,
          null,
          null,
          4.4,
          null,
          4,
          null,
          3.1,
          null,
          null,
          5,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          4.7,
          3.7,
          3.9,
          null,
          null,
          3,
          null,
          null,
          null,
          null,
          null,
          4.2,
          3,
          null,
          null,
          null,
          null,
          4.2,
          3.7,
          4.6,
          4.5,
          4.6,
          4.7,
          4.3,
          2.3,
          2.8,
          2.8,
          3.6,
          3,
          3.2,
          3.5,
          3.8,
          3.5,
          4.2,
          null,
          4.5,
          3.4,
          3,
          4.4,
          4,
          null,
          4.3,
          null,
          4.1,
          3.6,
          3.7,
          4.2,
          3.7,
          4.3,
          null,
          null,
          3.3,
          4.4,
          3.5,
          4,
          4.9,
          4,
          null,
          4.6,
          3.6,
          3.9,
          3.9,
          4,
          4.2,
          4.4,
          null,
          null,
          4.3,
          null,
          null,
          null,
          null,
          3.7,
          null,
          4.3,
          null,
          null,
          3.4,
          null,
          3.5,
          null,
          4.2,
          4.2,
          null,
          3.6,
          null,
          3.9,
          3.8,
          3.8,
          4,
          4.5,
          3.8,
          4.9,
          3.8,
          3.5,
          3,
          4.5,
          4.7,
          3.8,
          3.3,
          4,
          3.7,
          3.9,
          3.5,
          4.4,
          4,
          4,
          4.6,
          4.4,
          4.5,
          4.3,
          4.4,
          4.3,
          4.1,
          4.2,
          2.7,
          4.2,
          2.3,
          3.9,
          4.1,
          2.9,
          3.3,
          4.2,
          2.9,
          3.5,
          2.8,
          null,
          4.3,
          3.5,
          4.6,
          4.2,
          4.2,
          3.7,
          4.7,
          3.9,
          4.3,
          4.4,
          4,
          4.4,
          3.7,
          4.3,
          3.5,
          null,
          4.3,
          4,
          4.5,
          4.2,
          4.3,
          4.1,
          2.5,
          2.7,
          null,
          null,
          null,
          null,
          1.2,
          null,
          null,
          null,
          4.7,
          4.9,
          4.7,
          null,
          null,
          4.4,
          4.7,
          4,
          null,
          4.7,
          4.3,
          null,
          4.7,
          null,
          4.4,
          null,
          null,
          null,
          null,
          null,
          null,
          4.6,
          null,
          null,
          null,
          4.4,
          4.4,
          4.4,
          4.6,
          3.1,
          4.3,
          3.7,
          null,
          4.1,
          4.2,
          4.4,
          4.1,
          3.6,
          4.4,
          3.8,
          4,
          3.2,
          2.8,
          3.1,
          2.9,
          4.1,
          3.3,
          3.5,
          4.2,
          2.8,
          2.1,
          4.4,
          4.4,
          4.2,
          4.1,
          3.3,
          3.5,
          4.7,
          3.1,
          4.3,
          4.1,
          4.2,
          2.5,
          3.9,
          3,
          3.2,
          4.3,
          4.3,
          4.2,
          4.3,
          2.2,
          3.9,
          2.8,
          4.4,
          4.6,
          4.4,
          3.9,
          2.9,
          4.1,
          5,
          4.6,
          3.7,
          null,
          4.4,
          3.9,
          3.6,
          3.4,
          null,
          4.3,
          4.4,
          null,
          4.3,
          4.3,
          null,
          null,
          null,
          null,
          4.5,
          4.3,
          4.1,
          4.4,
          3.5,
          4.1,
          3.8,
          4.2,
          4.3,
          4.5,
          4,
          4.3,
          3.4,
          4,
          4.3,
          4.7,
          4.5,
          4.3,
          4.1,
          4.1,
          4.4,
          null,
          3.8,
          3.9,
          4.2,
          4.2,
          3.7,
          4.3,
          4.2,
          3.6,
          4.3,
          4.3,
          4.3,
          4.5,
          4.3,
          4.7,
          3.8,
          4,
          4.1,
          null,
          3.9,
          4.3,
          3.4,
          null,
          4.2,
          4.5,
          4.4,
          4.2,
          4.7,
          4.6,
          4.4,
          4.4,
          4.8,
          4.6,
          4.3,
          4.4,
          4.4,
          3.3,
          4.5,
          4.6,
          4.3,
          4.9,
          4.3,
          null,
          4.5,
          4.9,
          3.7,
          4.5,
          4.6,
          4.5,
          4.1,
          4.8,
          null,
          5,
          3.4,
          4.5,
          4.5,
          4.5,
          4.5,
          4.5,
          4.5,
          4.1,
          4.1,
          3.6,
          4.7,
          4.6,
          4.9,
          4.6,
          4.1,
          4.5,
          3.9,
          3.9,
          4.6,
          3.8,
          4.7,
          3.9,
          4.1,
          3.9,
          4,
          4.3,
          4,
          4.4,
          4.1,
          5,
          4.8,
          null,
          4.6,
          5,
          4.2,
          4.7,
          4,
          4.4,
          4.9,
          3.5,
          4.1,
          4.2,
          4.4,
          null,
          4.5,
          3.1,
          null,
          4.5,
          4.6,
          4.3,
          4.4,
          4.6,
          4.3,
          4.8,
          2.8,
          4.1,
          1,
          3,
          5,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          5,
          4.1,
          null,
          null,
          null,
          4.4,
          3,
          null,
          3.8,
          null,
          3.9,
          null,
          null,
          null,
          5,
          null,
          null,
          null,
          4.5,
          null,
          null,
          null,
          5,
          null,
          null,
          3.3,
          null,
          4.5,
          4.9,
          null,
          null,
          null,
          null,
          null,
          null,
          4.3,
          4.5,
          4.1,
          4.8,
          3.8,
          4.1,
          3.9,
          null,
          4.2,
          4.2,
          4.8,
          4.1,
          4.1,
          4,
          3.9,
          4.1,
          4.1,
          4.2,
          3.7,
          3.9,
          3.9,
          3.6,
          3.7,
          3.6,
          4.3,
          3.9,
          4.5,
          2.6,
          4.4,
          null,
          1,
          null,
          null,
          null,
          null,
          4.2,
          4.8,
          5,
          4.3,
          4.4,
          4.5,
          null,
          4.9,
          null,
          null,
          null,
          5,
          null,
          null,
          4.2,
          4.2,
          null,
          null,
          4,
          2.1,
          null,
          4.2,
          null,
          2.5,
          4.4,
          4.4,
          4.6,
          null,
          null,
          4.4,
          4.2,
          4.5,
          3.3,
          3.9,
          null,
          4.5,
          4.1,
          4.8,
          4.6,
          4.4,
          3.8,
          3.7,
          4.2,
          3.7,
          4.3,
          4.5,
          3.5,
          4,
          4.5,
          2.9,
          3.9,
          3.6,
          4.6,
          2.1,
          4.7,
          4.5,
          4.1,
          4.5,
          3.7,
          2.9,
          4,
          4.2,
          3.7,
          3.6,
          3.9,
          3.4,
          3.5,
          3.4,
          3.9,
          3,
          3.6,
          3.2,
          4.1,
          4.1,
          4.2,
          4.2,
          null,
          4.7,
          null,
          4.6,
          4.5,
          null,
          4.3,
          4.5,
          4.5,
          4.4,
          4.3,
          null,
          null,
          null,
          null,
          4.2,
          null,
          3.7,
          null,
          4.3,
          4,
          3.5,
          4.2,
          4.4,
          4.2,
          4.4,
          null,
          3.8,
          3.9,
          4,
          3.8,
          3.6,
          4.2,
          null,
          3.8,
          null,
          3.7,
          4,
          4.2,
          4.4,
          null,
          null,
          4.4,
          4.9,
          null,
          5,
          null,
          4.8,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          4,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          null,
          4,
          null,
          null,
          4.9,
          null,
          3.8,
          null,
          4.9,
          null,
          null,
          null,
          null,
          null,
          1.5,
          null,
          5,
          null,
          4.8,
          null,
          3.9,
          3.7,
          4.6,
          4.7,
          4.6,
          4.3,
          4.2,
          4.6,
          4.7,
          4.6,
          2,
          3.6,
          3.2,
          3.8,
          4,
          3.8,
          3.8,
          4.4,
          4.4,
          4.4,
          3.8,
          4.3,
          4.6,
          1,
          3.2,
          4.7,
          4.3,
          4.5,
          4.1,
          4.9,
          4.1,
          4.2,
          3.5,
          4.2,
          5,
          3.8,
          4.7,
          null,
          null,
          4.5,
          null,
          5,
          3.3,
          5,
          null,
          4,
          4.5,
          3.2,
          4.5,
          4.2,
          null,
          3.7,
          3.8,
          5,
          null,
          4.1,
          2.9,
          null,
          null,
          null,
          4.7,
          5,
          3.2,
          null,
          3.8,
          3.8,
          4.6,
          4.6,
          4.4,
          4.8,
          4.2,
          3.3,
          3.9,
          4.5,
          3.9,
          4.3,
          4.4,
          3.9,
          3.4,
          4.6,
          null,
          null,
          4.2,
          null,
          null,
          4.8,
          5,
          null,
          null,
          5,
          null,
          null,
          null,
          3.8,
          null,
          2.9,
          4.6,
          3.8,
          null,
          null,
          null,
          4.1,
          null,
          4.5,
          null,
          4.2,
          null,
          2.5,
          3.5,
          4.6,
          4.4,
          4.6,
          4.3,
          4.2,
          4.2,
          4.1,
          4.2,
          4.3,
          4.5,
          4.4,
          5,
          4.6,
          null,
          null,
          null,
          null,
          null,
          5,
          null,
          null,
          null,
          null,
          null,
          3.4,
          null,
          null,
          4.6,
          4.5,
          null,
          null,
          3.8,
          4.1,
          4.4,
          4.4,
          4.4,
          4.2,
          4.2,
          3.9,
          4.2,
          5,
          4,
          4.3,
          4.6,
          3.6,
          4.4,
          4.1,
          4.2,
          4.3,
          3.9,
          4.3,
          3.5,
          null,
          null,
          null,
          4,
          3.8,
          3.6,
          4.3,
          4.2,
          5,
          3.4,
          null,
          null,
          null,
          3.5,
          null,
          3.7,
          4.2,
          null,
          3.6,
          4.2,
          4.3,
          4.4,
          2.7,
          4.1,
          null,
          4.4,
          null,
          null,
          4.5,
          null,
          3.4,
          2.9,
          4.8,
          null,
          4,
          3.9,
          null,
          null,
          null,
          null,
          5,
          3.9,
          4,
          3.6,
          4.1,
          4.3,
          3.8,
          4.2,
          4.3,
          4.2,
          4.2,
          4.1,
          null,
          4,
          4.1,
          4,
          4.2,
          4.4,
          null,
          4.2,
          4.7,
          4.6,
          null,
          4.7,
          4.1,
          4.9,
          4,
          4.3,
          4.2,
          4.3,
          null,
          null,
          null,
          4.7,
          4.8,
          null,
          4.1,
          null,
          4,
          4.2,
          null,
          4,
          null,
          3.3,
          5,
          null,
          null,
          null,
          null,
          null,
          4,
          4.2,
          3.4,
          4.6,
          3.8,
          null,
          3.8,
          4.8,
          4,
          null,
          4.5,
          5,
          null,
          4.5,
          4.5
         ]
        }
       ],
       "layout": {
        "shapes": [
         {
          "line": {
           "dash": "dashdot"
          },
          "type": "line",
          "x0": 4.173243045387994,
          "x1": 4.173243045387994,
          "y0": 0,
          "y1": 1000
         }
        ],
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"540fe640-aaa3-4fc0-8eaa-d81521645057\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"540fe640-aaa3-4fc0-8eaa-d81521645057\")) {                    Plotly.newPlot(                        \"540fe640-aaa3-4fc0-8eaa-d81521645057\",                        [{\"x\":[4.1,3.9,4.7,4.5,4.3,4.4,3.8,4.1,4.4,4.7,4.4,4.4,4.2,4.6,4.4,3.2,4.7,4.5,4.3,4.6,4.0,4.1,4.7,null,4.7,4.8,4.7,4.1,3.9,4.1,4.2,4.1,4.5,4.2,4.7,3.8,4.7,4.1,4.7,4.0,4.2,4.5,4.4,3.8,4.2,4.7,4.6,4.2,4.3,4.2,4.0,3.8,4.6,3.9,4.3,4.9,4.4,4.2,4.0,3.9,4.6,4.9,4.3,4.6,4.9,3.9,4.0,4.3,3.9,4.2,4.8,3.6,4.2,4.8,4.8,4.6,4.5,4.3,4.5,4.9,3.9,4.4,4.0,4.3,3.7,4.4,4.3,3.2,4.6,4.6,4.5,3.7,4.6,4.6,4.6,4.0,4.4,4.0,4.7,4.9,4.7,3.9,3.9,4.2,4.6,4.3,4.7,4.7,4.8,4.2,4.3,4.5,4.1,null,4.2,4.5,4.4,4.0,4.1,4.1,4.4,4.6,4.5,null,3.9,4.4,null,4.6,3.8,null,null,4.0,4.3,4.5,null,4.1,3.7,4.7,4.2,4.6,4.5,4.6,4.4,4.2,4.5,4.5,4.5,4.5,4.4,4.5,4.6,4.8,3.9,4.6,4.2,4.1,4.7,4.2,4.3,3.3,4.6,4.8,4.7,null,4.1,4.6,4.1,4.6,4.7,4.5,3.9,4.4,4.3,4.2,4.5,4.4,3.4,4.9,4.6,4.4,null,4.4,4.4,4.4,3.5,null,4.4,4.1,4.3,4.4,4.3,4.3,4.1,4.4,4.3,3.9,4.8,4.5,4.4,4.0,4.3,4.0,4.2,4.5,4.2,4.2,4.6,4.1,4.6,3.1,3.9,4.3,4.1,4.4,4.1,4.1,4.5,4.4,4.4,4.3,4.4,4.6,4.2,4.4,4.7,3.8,3.9,null,4.3,4.4,4.7,4.5,4.2,4.7,4.8,4.2,4.3,4.4,4.1,3.8,4.3,3.8,3.5,4.1,4.6,4.3,4.5,4.1,4.5,4.6,4.0,4.2,4.4,4.0,4.2,4.2,4.1,3.8,3.9,3.9,4.5,4.5,4.6,4.7,4.7,4.8,3.9,4.1,4.4,4.6,4.5,4.7,4.4,4.5,3.9,3.2,3.2,4.1,4.5,4.2,4.2,3.7,4.5,4.6,4.5,null,4.7,4.4,3.5,3.3,4.5,4.4,4.2,5.0,4.4,4.7,4.4,4.4,4.6,4.0,4.4,4.3,4.3,4.4,4.3,4.0,4.3,4.3,4.4,4.3,4.3,4.3,4.3,4.3,4.0,4.5,4.3,3.7,4.5,3.9,4.4,3.6,4.4,4.2,4.4,4.1,4.4,4.3,4.2,4.2,4.4,4.4,3.9,4.2,4.4,4.6,4.3,4.3,4.4,3.7,4.3,3.9,4.5,3.7,4.3,4.0,4.1,4.2,4.2,4.1,4.4,4.1,4.3,4.3,4.5,4.3,4.2,4.2,4.5,4.3,4.3,4.3,4.2,4.6,4.2,4.5,4.1,4.2,4.1,4.3,4.1,4.2,4.0,4.2,4.2,4.3,4.4,4.2,4.4,4.2,4.8,4.4,4.4,4.4,4.0,4.5,4.4,4.1,4.2,4.5,4.3,4.5,4.0,4.2,4.5,4.6,4.1,4.0,4.2,4.6,4.1,4.3,4.2,4.3,4.1,4.6,4.2,2.6,null,null,null,3.5,4.0,4.1,3.7,4.1,4.2,4.5,4.4,4.2,4.0,4.1,3.1,4.4,4.2,4.1,3.9,4.3,4.4,3.5,4.0,3.3,4.5,4.4,4.1,3.9,3.9,3.6,4.0,3.6,3.4,4.2,4.1,3.4,3.0,4.6,4.1,3.9,1.9,3.5,2.5,3.9,3.4,3.5,4.4,3.8,4.2,2.5,2.8,4.1,4.2,3.5,4.3,3.3,4.1,4.2,3.5,4.2,4.4,4.1,4.2,4.3,3.0,4.0,3.3,4.1,3.7,4.0,4.0,4.1,3.3,4.4,4.3,3.4,4.0,3.6,4.2,3.5,4.0,4.1,4.4,4.2,4.1,4.2,3.9,4.1,3.9,4.0,4.2,4.5,3.9,3.6,4.4,3.5,4.4,4.8,4.6,4.7,4.8,null,2.7,5.0,null,4.8,5.0,4.8,null,4.9,3.0,null,null,4.7,null,null,1.0,null,null,null,null,null,null,null,5.0,4.7,null,5.0,null,null,null,5.0,null,null,null,null,3.0,4.1,null,null,null,null,null,null,null,5.0,3.7,4.5,4.2,null,null,null,4.3,null,4.4,3.4,4.7,4.8,4.7,3.5,4.7,3.8,2.9,null,4.7,4.6,4.7,4.6,4.7,null,4.5,4.7,4.8,4.6,4.6,4.6,4.2,4.9,3.8,4.2,4.4,4.4,4.3,4.5,4.4,4.6,3.9,4.4,4.3,4.4,4.2,4.4,4.0,4.2,3.8,4.5,4.7,4.5,4.3,4.2,4.3,4.7,4.7,4.6,4.5,4.4,4.6,4.5,4.5,4.4,4.4,4.2,4.5,4.1,4.0,4.1,4.3,4.3,4.3,4.6,4.1,4.6,4.7,4.7,4.3,4.7,4.6,4.6,4.6,4.3,4.2,4.0,4.5,4.2,4.1,4.4,4.0,4.5,4.4,4.0,4.2,4.3,4.2,4.5,4.2,4.6,4.2,4.7,4.4,4.4,4.0,4.6,4.4,4.3,4.1,4.2,4.3,4.3,4.3,4.0,4.2,4.0,4.0,3.8,4.1,3.9,4.1,4.5,4.4,4.0,4.4,4.5,4.3,4.5,4.2,3.5,4.8,4.4,4.1,4.9,4.7,4.7,4.7,4.4,4.0,4.2,4.3,4.5,3.5,4.2,3.1,4.6,4.2,4.3,4.3,4.1,3.8,3.4,4.3,4.4,4.4,4.0,3.7,3.9,4.5,4.4,4.3,4.2,4.2,4.5,4.7,4.5,4.5,3.4,4.2,4.3,4.2,4.6,4.1,4.2,4.2,4.3,4.4,3.9,4.1,4.3,4.6,3.6,4.3,4.3,4.1,4.1,4.2,3.9,4.2,3.7,4.5,3.7,3.8,4.3,3.0,4.1,4.2,4.1,3.9,4.0,4.4,4.2,4.0,3.9,4.0,4.2,4.0,4.3,3.9,4.5,4.1,4.5,3.6,3.8,3.7,3.8,3.7,4.1,3.7,3.9,3.9,3.9,4.1,3.9,4.2,4.3,4.6,4.3,4.6,4.5,4.6,3.9,4.2,4.4,4.2,4.3,4.6,4.3,4.5,4.0,4.0,4.5,4.5,4.0,4.0,4.2,4.4,4.6,null,4.6,4.1,4.6,4.4,4.6,4.9,4.5,4.6,4.7,4.3,null,null,4.2,4.3,5.0,4.4,5.0,4.5,null,null,null,4.5,4.8,4.4,5.0,null,3.7,null,4.1,null,4.8,null,null,4.6,4.4,4.4,3.6,3.7,3.8,4.2,4.2,4.2,3.3,3.4,4.3,4.2,4.7,4.1,4.7,4.0,3.6,4.0,3.6,4.3,4.2,4.2,4.1,4.0,4.1,4.4,4.7,4.5,4.3,4.6,4.3,4.0,4.5,4.5,3.6,4.2,4.1,3.5,4.4,4.0,4.5,4.2,4.6,4.2,4.8,4.5,4.2,4.3,4.4,4.4,4.6,4.6,4.6,4.4,4.3,4.2,4.2,3.8,4.5,4.6,4.6,4.7,4.6,4.6,3.8,4.3,4.3,4.5,4.6,4.6,4.7,4.5,4.4,3.9,4.5,4.6,4.1,4.5,4.4,4.5,4.6,4.2,4.4,4.1,3.9,4.5,3.7,4.1,4.4,4.6,4.3,4.3,4.4,4.3,4.4,4.1,4.4,4.2,4.3,4.3,3.9,4.1,4.1,4.2,4.5,4.7,4.4,4.6,4.6,4.3,4.0,4.4,4.6,4.2,4.1,3.6,null,4.1,4.6,null,4.7,4.7,4.7,4.7,4.1,3.4,3.8,3.7,4.2,3.1,3.5,4.7,4.5,4.2,4.3,4.0,4.5,4.6,4.7,4.1,4.3,3.8,4.4,4.3,4.2,4.3,3.8,4.3,3.7,4.5,3.6,4.8,3.3,4.7,4.6,4.6,3.4,4.6,4.0,4.1,4.5,4.4,4.5,4.0,4.1,4.5,4.6,4.1,4.5,4.6,4.5,4.3,3.6,4.4,4.6,4.1,4.3,3.9,4.1,4.3,4.7,4.6,4.4,4.2,4.5,4.2,4.5,4.5,4.3,4.0,4.8,4.0,4.9,4.8,4.9,4.8,4.4,3.3,4.7,4.6,4.8,4.8,4.8,4.5,4.4,4.5,4.5,4.5,4.8,3.9,4.6,4.5,4.5,4.7,4.7,4.4,4.2,3.9,4.2,4.4,4.6,4.6,4.2,4.5,4.7,4.5,4.5,3.7,4.5,4.6,4.6,4.7,4.5,4.5,4.6,4.0,4.3,4.4,4.5,4.2,4.6,4.9,4.5,4.6,4.5,4.6,4.6,4.5,4.5,4.4,3.9,4.6,4.4,4.5,4.5,4.4,4.4,4.4,4.2,4.5,4.5,4.4,4.3,4.6,4.6,4.9,4.4,4.3,4.1,4.6,4.8,4.5,4.7,4.6,4.3,4.6,4.3,4.6,4.6,4.5,4.6,4.6,4.5,4.1,4.5,4.6,4.5,4.8,4.8,4.5,4.1,4.4,4.2,4.5,4.3,4.6,4.0,4.6,4.6,4.4,4.7,4.4,4.4,4.4,4.5,4.0,4.6,4.1,4.0,4.4,4.4,4.1,3.5,4.3,4.5,4.2,4.5,4.1,4.5,3.7,4.3,4.5,4.6,4.7,4.6,4.0,4.4,4.8,4.2,4.1,4.4,4.3,4.5,4.8,4.2,4.5,4.1,4.1,4.0,4.3,4.5,null,4.6,3.7,3.7,4.2,4.5,4.3,3.9,4.6,4.3,4.4,4.6,4.5,3.8,null,4.4,4.7,3.4,4.3,4.3,4.0,4.0,3.8,null,4.3,3.6,3.8,4.5,4.6,null,4.5,4.7,4.3,3.7,null,4.2,3.4,3.9,4.0,4.0,4.0,4.0,4.1,3.9,4.4,4.4,4.3,4.1,3.9,4.4,4.6,null,4.1,null,null,3.8,4.6,3.5,4.7,4.3,4.5,4.4,3.4,4.3,null,4.3,4.6,4.6,null,4.2,null,null,4.6,null,null,4.4,3.9,4.5,3.8,4.3,3.7,5.0,3.2,4.5,4.7,4.0,null,4.1,3.8,4.7,4.5,null,4.2,null,4.1,3.1,4.1,4.1,4.3,4.0,4.6,4.4,4.4,4.3,4.6,3.2,4.5,4.6,4.6,4.3,3.0,4.4,4.4,4.3,3.5,4.3,4.5,3.7,4.5,4.2,4.3,4.6,4.5,3.9,4.3,3.3,4.7,4.2,3.2,4.4,3.5,3.7,3.8,3.8,3.7,4.6,4.0,3.6,3.8,4.1,4.7,3.9,4.1,4.6,4.2,4.6,4.2,4.4,4.6,4.1,3.9,4.0,4.1,4.1,4.1,4.1,4.4,4.3,4.4,4.2,4.4,4.3,4.1,4.0,4.2,4.1,3.9,4.4,4.6,4.5,4.5,4.8,4.4,4.5,4.5,4.6,4.5,4.5,4.5,4.4,4.7,4.5,4.2,4.4,4.6,4.3,4.3,4.2,4.6,4.4,4.4,4.5,4.4,4.3,4.6,4.3,4.2,4.2,4.5,4.5,4.5,4.7,4.7,4.5,4.4,4.3,3.8,4.6,4.6,4.4,4.3,4.1,4.3,4.4,4.6,4.3,4.4,4.7,4.5,4.4,4.6,4.5,4.4,4.6,4.5,4.7,4.6,4.7,4.5,4.8,4.5,4.7,4.5,4.3,4.5,4.5,4.6,4.7,4.6,4.4,4.5,4.6,4.5,4.5,4.4,4.2,4.5,4.7,4.1,4.4,4.2,4.4,4.7,4.3,4.7,4.2,4.3,4.4,4.1,4.1,4.2,4.7,4.6,4.5,3.1,4.1,3.4,4.4,4.3,4.6,4.4,4.3,4.6,4.2,4.5,4.2,4.5,4.4,4.6,4.5,4.3,4.6,4.4,4.4,4.5,4.6,4.6,4.6,4.1,4.5,4.6,4.4,4.7,4.6,4.3,4.5,4.6,4.2,4.5,4.8,4.1,4.3,4.4,4.0,4.2,4.0,4.2,4.5,4.7,4.2,4.4,4.6,4.9,4.4,4.5,4.6,4.2,4.5,4.6,4.6,4.6,4.3,4.6,4.3,4.3,4.6,4.5,4.2,4.7,4.3,4.0,4.4,4.3,4.6,4.7,4.4,4.4,4.3,4.2,4.5,4.5,4.5,4.6,4.3,4.5,4.4,4.6,4.5,4.5,4.6,4.6,4.3,4.5,4.7,4.5,4.7,4.7,4.6,4.4,4.3,4.5,4.3,4.4,4.2,4.4,4.7,4.2,4.1,4.5,4.5,4.5,4.1,4.3,4.5,4.4,4.5,4.6,4.0,4.3,4.5,4.6,4.5,4.5,4.4,4.7,4.4,4.4,4.6,4.2,4.6,4.6,4.6,4.3,4.6,4.4,4.3,4.7,4.4,4.4,4.5,4.6,4.5,4.3,4.7,4.5,4.5,4.4,4.3,4.6,4.2,4.5,4.3,4.5,4.4,4.4,4.8,4.4,4.3,4.6,4.5,4.5,4.5,4.0,4.6,4.5,4.5,4.4,4.5,4.5,4.2,4.3,4.5,4.2,4.3,4.4,4.6,4.5,4.2,4.5,4.6,4.6,4.1,4.5,4.6,4.6,4.5,4.3,3.8,4.5,4.1,4.8,3.9,4.5,4.4,4.3,4.2,3.0,4.1,4.5,4.6,4.3,4.3,4.5,4.2,4.2,4.4,4.5,4.1,4.2,4.1,4.7,4.3,4.4,4.4,4.3,4.3,4.2,4.2,4.3,4.3,4.1,4.2,4.5,4.3,4.5,4.1,4.2,4.4,4.0,4.1,4.4,4.1,4.0,4.3,4.6,4.3,4.7,4.3,4.4,4.2,4.7,3.9,4.1,4.1,4.1,4.2,4.4,4.3,4.5,4.3,4.3,4.1,4.1,4.1,4.6,4.1,4.4,4.4,4.3,4.0,4.8,3.8,4.7,4.5,4.8,4.4,4.8,4.2,4.2,4.0,4.7,4.7,3.9,4.5,4.1,4.4,3.9,4.4,3.6,4.4,4.1,3.6,4.6,4.3,4.5,4.4,4.1,3.9,4.1,3.9,4.2,3.8,4.3,3.9,4.0,4.0,4.0,4.3,4.3,4.2,4.3,4.2,4.6,4.1,4.5,4.5,4.3,4.2,4.4,4.6,4.5,4.8,4.5,3.2,4.6,4.5,4.1,4.6,4.5,4.4,4.4,4.4,3.8,4.6,2.5,4.0,5.0,4.3,3.4,null,3.4,4.3,4.4,4.4,4.2,5.0,4.1,3.9,4.6,4.2,4.4,4.2,3.6,4.5,null,4.7,4.6,4.5,4.2,4.2,4.3,4.4,4.1,4.4,4.6,4.4,4.2,4.5,null,2.6,4.6,4.8,4.2,4.7,3.0,3.5,4.6,4.8,4.2,4.6,4.4,4.8,4.0,3.7,4.2,4.8,4.7,3.5,3.9,4.2,4.8,2.7,4.2,4.7,4.6,4.5,4.7,4.7,4.5,4.7,4.0,3.4,3.5,3.0,4.7,4.6,4.2,4.8,4.5,4.2,3.8,3.0,4.4,4.5,4.0,3.6,4.4,4.7,3.6,4.5,4.1,4.6,4.7,4.7,2.8,4.3,4.6,4.3,3.4,null,4.0,4.8,4.2,3.0,4.5,3.7,4.5,4.5,3.6,4.4,4.4,4.5,4.1,4.6,4.3,4.3,4.7,4.5,4.2,4.4,3.9,4.2,4.1,null,4.1,3.5,4.2,4.0,4.3,4.3,2.3,4.5,4.3,3.1,4.4,2.9,3.1,3.7,4.0,3.8,4.4,4.3,null,null,null,null,3.7,5.0,3.0,3.7,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3.7,5.0,null,null,5.0,null,5.0,null,5.0,null,5.0,5.0,null,5.0,5.0,5.0,null,null,null,4.3,4.9,null,null,null,null,null,null,null,5.0,null,null,4.9,4.6,5.0,null,null,null,null,4.0,null,5.0,null,2.6,4.3,4.7,2.5,4.5,4.3,4.4,null,null,4.5,3.8,4.0,4.5,3.7,4.3,4.4,3.8,4.3,3.8,5.0,3.6,4.0,4.3,4.7,5.0,4.7,4.6,3.1,4.4,5.0,3.6,2.8,4.4,4.6,4.2,null,3.8,3.5,4.1,4.5,4.3,4.4,4.4,4.2,4.0,4.3,4.6,4.4,4.2,4.4,4.4,4.3,4.6,4.4,4.5,4.6,4.6,4.6,4.4,4.5,4.5,4.3,4.4,4.6,4.3,4.8,4.2,4.6,4.0,4.6,4.3,3.6,4.0,4.5,4.4,4.5,4.2,4.5,4.3,4.2,4.2,4.3,4.3,4.1,4.5,4.3,4.2,4.1,4.3,4.2,4.1,4.1,3.7,3.9,3.7,3.6,4.1,4.1,4.1,4.3,4.3,4.2,4.5,4.1,3.8,4.4,4.0,4.2,4.0,4.4,4.0,4.4,4.1,4.3,4.0,4.4,4.2,4.0,4.5,4.6,4.3,4.2,4.3,4.6,4.4,4.4,4.5,4.3,4.2,4.2,4.4,4.6,4.2,3.6,4.5,4.4,3.8,4.7,3.6,4.2,3.6,4.3,4.4,4.5,4.1,4.3,4.3,4.7,4.3,4.2,4.2,4.3,4.2,4.3,4.6,4.4,4.3,3.8,4.6,4.5,4.1,4.4,4.3,3.8,4.0,3.3,4.1,4.1,4.2,4.1,4.4,4.1,4.2,4.5,4.3,4.1,4.5,4.4,4.6,4.5,4.6,4.7,4.3,4.4,4.4,4.7,4.1,4.2,4.5,4.2,4.3,4.1,4.6,4.2,4.2,4.2,4.2,4.0,4.4,4.0,4.5,3.9,4.5,4.2,4.3,4.4,4.5,4.6,4.3,4.7,4.4,4.0,4.5,4.1,4.4,4.5,4.4,4.3,3.8,4.5,4.1,4.6,4.8,4.0,4.7,4.7,4.1,4.5,3.6,4.5,4.7,4.7,4.5,4.2,4.5,4.4,4.5,4.5,4.4,3.7,4.3,4.5,4.4,3.3,4.3,4.4,4.5,4.4,4.2,4.5,4.7,4.5,4.6,4.6,4.4,4.3,4.3,4.6,4.4,4.5,4.5,4.2,4.0,4.4,4.7,4.3,4.6,4.4,4.5,4.3,4.3,4.4,4.4,4.6,4.3,4.2,4.3,3.9,4.3,4.4,4.2,4.3,4.3,4.3,4.1,4.4,4.3,4.0,4.0,4.0,4.4,4.3,4.1,4.2,3.9,4.4,4.4,4.1,4.0,4.3,4.2,4.0,4.1,4.1,4.0,4.3,4.5,4.0,4.4,4.1,4.3,4.3,4.2,4.3,4.4,3.8,4.4,4.4,4.6,4.0,4.2,4.6,4.1,4.2,4.6,4.6,4.4,4.7,4.4,4.3,4.5,4.2,3.8,4.4,4.6,4.2,4.5,4.5,4.2,4.1,4.3,4.0,4.3,4.5,4.2,4.3,4.4,4.2,4.1,4.4,4.7,4.6,4.2,4.3,4.3,4.5,4.6,4.5,4.4,4.7,4.2,4.3,4.2,3.9,3.9,4.2,4.3,4.6,4.3,4.0,4.0,4.0,4.6,4.3,4.2,4.3,4.4,4.0,4.6,4.7,4.3,4.0,4.5,4.7,4.4,4.8,3.3,4.3,3.9,4.4,3.9,4.4,4.4,4.1,4.0,3.1,2.9,4.0,4.5,4.3,4.1,4.3,4.5,4.6,4.4,4.2,4.3,3.4,4.6,4.2,4.0,4.1,4.0,4.6,4.5,4.4,3.5,4.0,4.8,4.1,4.6,4.3,4.6,4.5,4.3,4.5,4.0,4.6,4.1,3.5,4.5,3.9,4.6,4.6,4.5,4.5,4.4,4.0,4.2,4.2,4.5,4.1,4.2,4.4,4.4,4.1,4.3,4.5,4.5,4.4,4.5,4.7,4.4,4.1,4.4,4.4,4.3,4.0,4.7,4.3,4.6,3.9,3.6,4.0,4.1,4.2,3.9,4.3,3.1,3.7,3.4,4.4,3.6,3.3,3.7,3.0,3.6,4.8,3.9,3.8,4.3,4.5,3.4,3.7,4.4,4.1,4.5,4.0,3.9,4.4,4.8,4.3,3.7,4.2,3.5,4.3,4.7,4.3,4.1,3.1,4.3,4.1,4.2,4.3,4.3,4.3,4.6,4.4,4.2,4.2,4.4,4.4,4.4,4.4,4.4,3.7,4.4,3.6,4.4,4.0,4.1,4.4,4.4,4.3,4.2,4.3,4.3,4.2,4.4,4.1,4.6,4.4,4.1,4.5,4.5,4.2,4.2,4.2,4.5,4.7,4.0,4.2,4.1,4.4,4.4,4.2,4.2,4.1,4.5,4.6,4.1,4.2,4.1,4.0,4.6,3.1,4.6,4.5,3.2,4.3,null,4.6,4.4,4.6,4.5,4.6,null,4.4,4.2,4.4,3.1,3.6,4.1,4.2,3.5,3.9,3.0,3.9,4.5,3.4,4.4,3.4,4.3,3.7,3.5,3.8,3.6,3.1,3.8,4.2,4.0,4.3,4.3,4.5,4.5,4.5,4.4,4.4,4.3,4.2,4.7,4.4,4.3,4.4,4.3,4.5,4.7,4.5,4.6,4.7,4.6,4.8,3.9,4.5,4.6,4.5,4.4,4.5,4.0,4.3,4.0,4.4,4.1,4.3,4.1,4.3,4.2,4.2,4.2,4.2,4.3,4.5,4.4,4.5,4.1,4.4,4.5,4.3,4.4,4.1,4.4,4.2,4.1,4.6,4.5,4.3,4.1,4.1,4.2,4.1,4.6,4.5,4.0,3.5,4.4,4.4,4.4,4.1,4.2,4.6,4.4,4.6,4.6,4.5,4.7,4.4,4.5,4.6,4.6,4.0,4.6,4.5,4.7,4.7,4.4,4.3,4.7,4.1,4.7,4.4,4.6,4.5,4.4,4.4,4.3,4.3,4.6,4.7,4.3,4.5,4.6,4.4,4.5,4.7,4.3,3.7,4.7,4.5,4.4,4.3,4.8,4.6,4.1,4.7,4.1,4.2,4.3,4.2,4.0,4.2,3.9,4.3,4.1,4.2,4.4,4.3,4.3,4.4,4.3,4.1,4.2,4.1,4.1,4.2,4.1,4.4,4.1,4.3,4.6,4.1,4.6,4.2,4.1,4.2,4.5,4.3,4.2,4.0,4.2,4.2,4.4,4.4,4.3,4.3,4.6,4.5,4.1,4.3,4.4,4.2,4.2,4.1,4.5,4.7,4.3,4.4,4.4,3.8,4.4,4.3,4.2,4.5,3.2,4.5,4.2,4.4,4.7,4.4,4.0,4.4,4.0,4.6,4.5,4.2,4.0,4.4,4.5,3.9,4.2,4.3,4.2,4.2,4.4,4.7,4.6,3.1,4.4,4.1,4.5,4.6,4.3,3.9,4.5,4.3,3.7,4.5,4.4,4.0,4.0,4.4,4.7,4.6,4.2,4.5,4.6,4.0,4.5,4.4,4.3,4.5,4.5,4.4,4.6,4.3,4.5,4.3,4.1,4.2,4.2,4.6,4.2,4.3,4.3,4.5,4.2,4.6,4.4,4.3,4.6,4.2,4.2,4.2,4.0,4.3,4.6,4.3,4.0,4.2,4.2,4.5,4.2,4.4,4.6,4.3,4.6,4.4,4.6,4.6,4.1,4.4,4.1,4.3,4.1,4.1,4.5,3.9,null,3.8,null,null,4.6,4.7,null,4.0,null,4.7,4.1,3.7,null,4.1,3.7,4.6,4.4,4.6,4.1,4.4,4.7,4.4,null,4.8,4.0,4.9,null,4.8,4.4,4.7,4.2,4.6,4.6,4.5,4.6,4.1,3.8,4.8,4.8,null,4.5,4.0,4.4,4.7,null,3.9,4.4,4.4,4.5,4.4,4.8,4.4,4.8,4.5,4.7,4.5,3.5,4.4,4.3,4.4,4.2,4.6,4.4,4.4,3.9,4.3,4.5,4.2,3.7,4.2,3.9,3.6,4.5,4.3,4.3,4.2,4.6,4.5,4.5,4.2,3.9,4.8,3.8,4.5,4.5,4.2,4.0,4.2,4.3,4.3,4.2,4.3,3.6,3.9,4.8,3.9,3.7,4.6,4.4,4.4,4.2,4.1,3.8,4.4,4.5,4.6,4.7,4.3,4.5,4.3,3.7,3.9,3.6,4.5,4.4,3.8,4.6,4.2,4.3,3.8,4.4,3.1,4.6,4.1,4.5,4.0,4.5,4.3,null,3.7,3.9,3.5,3.3,4.3,4.4,4.4,4.5,4.4,4.3,4.5,4.3,4.6,4.1,4.2,3.5,4.0,3.8,4.3,4.3,4.1,4.3,4.5,4.4,4.0,4.1,4.6,4.3,3.9,4.5,4.7,4.3,4.5,3.1,4.7,3.8,4.0,4.2,4.0,4.2,3.4,4.6,4.5,4.0,4.4,4.2,4.1,4.4,4.0,3.7,4.6,4.5,4.6,4.5,3.9,4.3,4.4,4.3,4.4,3.6,4.5,3.6,4.1,4.4,4.1,4.2,4.7,3.9,3.9,4.4,4.6,4.0,4.3,4.2,4.3,4.0,4.1,4.6,4.5,4.2,4.3,4.2,4.2,4.0,4.2,4.3,3.9,4.0,4.5,4.1,4.5,4.6,4.2,4.1,4.4,4.4,4.2,4.5,4.2,4.4,4.4,4.0,4.3,4.4,4.2,4.3,4.1,4.4,4.3,4.4,4.2,4.7,4.3,4.5,3.7,4.3,4.2,4.1,4.5,4.8,4.3,4.7,4.3,4.2,3.7,4.6,4.5,4.3,4.5,4.2,4.2,4.3,4.3,4.4,3.7,4.4,4.4,4.2,3.5,4.2,4.2,4.2,3.9,4.3,3.7,4.3,4.3,4.6,4.6,3.9,4.6,4.1,4.8,4.3,4.4,3.3,4.2,3.8,3.7,4.5,4.1,4.4,3.7,4.8,4.3,4.1,4.5,4.4,4.3,3.8,4.5,3.7,4.5,4.6,4.3,4.4,4.3,4.3,4.4,4.2,4.9,4.6,4.6,3.4,3.8,4.7,4.6,3.8,4.4,3.9,4.1,4.5,3.7,4.4,3.8,3.1,5.0,4.4,null,4.3,2.9,3.1,3.3,4.1,4.4,4.5,4.3,4.3,2.2,4.2,4.5,3.9,4.1,3.3,4.5,4.1,4.8,4.1,4.5,null,4.5,4.3,4.4,4.7,4.4,4.2,4.2,4.5,4.6,4.7,4.8,4.7,4.7,1.7,4.5,4.0,3.6,2.0,4.7,4.1,4.3,4.3,4.5,4.4,4.6,3.7,4.5,4.0,4.8,4.0,4.7,4.8,4.6,4.3,4.2,4.8,4.2,4.2,4.5,4.6,4.5,4.3,4.8,4.2,4.4,4.5,4.2,4.6,4.6,4.5,4.5,4.5,4.4,4.1,4.6,4.5,4.5,4.3,4.3,3.3,3.7,4.5,4.4,3.1,4.0,3.9,4.4,4.8,3.6,3.4,4.7,4.4,4.4,4.5,4.3,4.5,4.0,4.3,4.5,4.0,4.2,4.3,4.6,4.4,4.3,4.2,4.3,4.3,4.6,3.6,4.2,4.2,4.4,4.3,4.9,4.5,4.2,3.8,4.2,1.0,4.4,4.0,null,4.4,4.4,4.5,null,3.4,3.8,null,3.7,null,4.1,4.4,4.2,4.5,4.3,4.2,3.6,4.4,4.6,4.5,4.4,4.2,4.3,1.8,3.8,4.4,3.0,3.4,4.6,3.7,3.0,4.6,3.1,4.3,4.3,3.8,4.5,3.6,null,4.2,4.5,4.2,3.3,4.3,4.2,3.8,2.9,4.5,4.3,4.9,4.4,4.4,4.4,2.9,4.2,4.0,4.3,4.3,3.9,null,4.0,4.6,3.7,4.0,4.6,4.4,4.5,3.0,3.1,4.5,4.5,4.5,4.1,4.6,4.2,null,3.9,3.9,3.9,4.2,3.7,2.8,4.1,4.4,2.7,4.7,4.2,4.4,4.0,4.0,4.7,4.3,4.4,4.0,4.3,4.2,4.6,3.3,2.3,4.2,4.1,null,3.2,3.5,4.6,4.1,4.1,4.1,null,4.7,3.5,3.9,null,null,4.1,4.7,null,4.6,4.5,4.7,4.9,null,4.3,4.1,4.4,4.2,4.1,4.6,4.3,4.4,4.5,4.6,4.8,4.3,4.8,4.8,3.7,4.1,3.7,4.2,4.5,4.6,null,4.9,4.4,4.6,null,null,4.0,4.8,4.3,4.4,4.2,4.6,null,4.8,4.0,4.3,4.7,4.3,4.0,4.0,4.0,4.1,4.6,3.1,4.9,4.5,4.0,4.0,3.6,4.5,4.2,4.3,3.9,4.3,4.3,4.4,4.3,4.4,4.3,4.4,3.5,4.4,4.4,4.5,4.4,4.4,3.9,3.9,4.3,4.9,3.7,3.3,3.8,3.5,4.2,3.5,3.6,3.9,4.2,4.2,4.0,3.2,2.4,4.5,4.1,4.2,3.7,4.3,4.2,4.1,3.9,3.8,4.4,3.4,4.0,4.4,3.3,4.8,4.5,3.4,4.3,4.3,4.1,4.0,4.4,3.8,4.4,3.8,4.2,3.8,4.8,4.7,4.3,3.5,3.9,4.2,4.6,4.7,4.5,3.8,4.5,3.7,3.5,4.1,3.9,4.1,4.6,4.4,4.6,4.0,4.4,4.4,4.4,4.0,3.8,3.9,null,3.7,4.2,4.1,4.3,4.3,4.1,4.4,3.8,4.3,3.8,4.5,3.8,3.9,4.0,4.3,4.4,4.6,null,5.0,4.4,4.4,4.2,4.0,null,4.2,null,4.6,4.1,null,3.9,4.6,null,4.4,3.9,4.6,4.5,3.0,null,3.6,4.4,4.6,null,4.3,5.0,4.5,4.1,4.1,4.5,null,4.8,4.5,null,4.0,4.8,3.7,null,4.5,4.7,2.7,2.9,4.2,4.4,4.2,3.4,2.6,4.1,4.3,4.2,4.4,null,4.0,4.4,4.1,4.8,2.2,3.8,3.1,3.1,3.8,3.8,4.3,3.6,4.0,4.4,4.6,null,4.5,1.8,4.7,3.9,4.4,3.6,4.4,3.9,3.9,3.8,null,4.2,4.1,4.4,4.4,null,null,5.0,4.1,4.5,4.3,null,3.9,3.5,null,3.2,null,null,null,null,3.3,4.8,4.5,3.7,4.8,4.7,4.3,3.8,4.1,4.7,null,4.2,null,null,4.2,4.6,4.6,4.2,4.1,3.5,4.1,4.4,4.5,4.1,4.5,4.3,4.4,4.3,4.3,3.8,3.9,4.1,4.8,4.0,4.3,4.0,3.7,3.3,4.1,3.0,4.1,3.0,3.8,4.0,4.6,4.1,3.6,4.7,3.5,3.1,3.9,4.2,4.4,4.4,3.3,4.8,4.2,4.5,3.8,4.1,4.2,4.2,4.0,4.2,3.8,4.5,3.7,4.3,4.5,4.1,4.2,4.5,4.0,4.3,4.7,4.1,3.2,3.9,4.1,3.4,3.0,4.6,4.6,4.1,3.1,3.4,4.2,4.2,3.0,2.4,4.1,2.9,4.0,4.0,3.8,2.4,4.4,3.7,4.3,4.6,4.2,4.8,3.6,3.2,4.0,3.5,4.4,2.5,3.9,4.4,4.2,4.2,4.3,4.1,4.2,4.2,3.9,3.9,3.8,4.5,4.2,3.7,4.3,4.6,3.3,3.6,4.1,3.8,3.3,4.5,4.8,4.6,null,4.3,4.5,4.2,3.8,4.7,4.2,4.3,4.7,4.7,3.6,4.2,4.0,4.3,4.7,4.6,4.8,3.8,4.2,3.2,4.3,4.3,4.4,1.9,2.5,4.2,4.3,4.0,4.5,4.8,4.2,4.7,4.4,4.4,4.4,4.6,4.6,4.2,4.0,4.2,4.5,4.7,4.2,4.4,3.2,4.1,4.0,4.7,4.6,4.6,4.7,4.8,4.6,4.2,4.3,3.3,4.7,4.5,4.0,4.5,4.2,4.6,4.2,4.7,4.7,4.2,4.3,4.3,null,4.5,4.4,4.5,4.6,4.3,3.8,4.5,4.5,3.9,4.0,2.7,4.5,4.0,2.9,4.6,4.4,4.6,4.4,4.4,4.2,4.8,4.3,4.6,4.6,4.1,4.4,4.5,4.4,4.2,4.5,4.6,4.5,4.6,4.0,4.5,4.2,3.9,4.7,4.5,4.3,4.2,3.9,4.1,2.2,4.2,4.2,2.8,3.9,4.3,4.8,4.3,4.1,4.2,4.4,4.1,4.6,4.3,4.3,3.8,4.8,null,3.8,3.9,null,4.3,4.3,4.3,4.1,4.2,4.5,4.6,3.8,4.7,4.5,4.7,4.5,4.8,4.6,4.3,4.8,3.4,4.6,4.5,4.4,4.4,4.6,4.2,4.3,4.3,3.8,3.9,4.3,4.8,4.2,4.5,4.8,null,4.6,4.2,4.2,4.0,null,4.3,4.8,4.1,4.7,null,4.8,4.0,3.5,3.8,3.5,3.3,3.7,3.3,3.4,1.8,1.6,1.9,3.6,3.4,3.2,2.5,4.7,2.6,2.8,3.9,4.2,3.9,4.0,3.5,3.1,3.7,3.6,3.4,4.0,3.7,1.7,2.4,4.3,3.3,4.1,4.1,3.4,3.0,3.0,2.2,3.7,3.7,4.8,3.7,3.6,3.7,4.4,3.8,3.7,3.7,4.8,4.2,4.1,4.1,4.3,3.9,3.8,4.0,4.5,4.6,4.1,4.4,3.7,3.9,3.9,4.5,4.5,4.4,4.3,4.5,4.7,4.7,4.1,3.3,4.2,4.1,3.4,4.3,4.9,4.5,4.1,4.4,4.4,3.4,4.1,4.1,3.5,3.8,4.6,5.0,4.2,3.9,3.7,4.3,1.9,4.2,4.2,4.0,4.4,4.2,4.5,4.3,4.4,4.0,4.2,4.3,4.0,4.3,3.9,4.0,3.7,4.1,3.9,4.2,4.4,4.5,3.9,3.9,4.2,4.5,4.1,4.7,null,4.4,4.7,4.7,4.0,3.9,null,3.8,3.9,4.4,4.5,null,3.8,3.5,4.2,4.7,2.0,4.3,2.8,3.9,3.4,4.5,4.7,2.0,4.4,null,null,null,4.7,3.3,4.1,null,4.2,4.4,null,3.7,null,3.9,5.0,4.1,4.8,4.0,null,4.1,3.8,4.6,null,4.3,4.1,4.1,4.4,4.2,4.1,4.3,4.3,4.0,4.5,4.1,3.8,null,4.5,null,4.1,null,3.9,3.7,null,4.5,4.4,null,3.4,null,null,null,null,2.3,4.7,3.4,4.7,null,null,5.0,null,null,null,null,null,null,null,null,3.6,5.0,null,null,4.3,null,null,null,5.0,null,null,4.1,4.1,4.5,null,null,3.4,null,null,null,2.9,4.6,5.0,null,null,null,3.9,3.9,5.0,4.1,5.0,3.0,4.0,1.0,null,4.0,null,null,4.0,null,3.8,null,null,null,null,null,null,null,null,3.5,null,null,null,null,null,2.6,null,3.4,null,null,4.5,3.4,3.8,3.0,4.4,4.0,3.9,4.6,3.8,3.8,4.0,3.6,4.4,3.1,4.2,4.6,4.0,5.0,3.3,4.1,3.6,3.2,4.4,4.0,4.4,4.5,4.3,4.7,4.4,null,4.4,4.4,3.7,3.3,null,3.7,3.0,2.6,null,null,3.5,3.9,4.6,3.8,4.4,4.5,4.5,4.7,4.4,null,5.0,null,null,2.8,null,4.6,2.8,5.0,5.0,2.8,null,3.8,4.1,null,4.8,5.0,5.0,null,4.4,null,null,5.0,4.1,null,4.8,null,null,4.8,4.0,null,5.0,4.6,null,5.0,null,null,null,4.5,5.0,null,null,null,4.4,4.0,null,3.9,4.1,4.8,4.3,3.9,4.5,null,3.7,4.3,4.2,3.7,3.8,4.6,null,null,null,3.3,3.0,3.9,3.9,null,4.1,null,4.6,null,null,null,null,4.4,3.8,4.4,null,4.9,3.6,4.3,3.6,4.1,3.4,4.5,4.7,4.5,4.4,4.3,4.6,4.2,4.8,4.6,4.8,4.6,4.6,4.6,4.1,4.7,4.7,4.8,3.6,4.7,4.6,4.5,4.7,4.5,4.3,4.5,4.8,4.7,4.7,4.7,4.7,4.7,4.7,4.7,4.6,4.7,4.7,4.6,3.8,3.9,4.0,3.8,4.1,2.9,3.8,3.5,4.2,4.6,4.4,4.4,4.1,3.9,3.6,4.0,3.8,4.3,4.6,3.6,3.9,4.0,4.2,4.2,4.2,4.5,4.7,3.5,4.5,4.6,4.2,4.1,4.5,4.2,4.5,4.4,3.7,4.4,4.3,4.3,4.5,3.8,4.5,4.5,4.4,4.7,3.5,4.9,4.0,4.1,4.2,null,4.4,4.1,4.6,4.6,4.7,4.5,null,4.4,4.4,4.2,4.4,4.0,4.2,4.2,4.2,4.8,3.7,3.4,4.3,4.3,4.6,4.2,4.6,4.1,4.6,4.3,4.4,4.7,4.2,3.8,4.3,3.7,4.3,2.9,4.3,4.3,4.0,3.3,4.1,5.0,3.9,4.6,4.0,3.6,4.0,4.5,null,2.9,4.2,4.5,null,4.6,4.7,4.2,4.7,4.7,3.9,4.7,3.7,4.8,4.0,4.6,4.4,4.7,3.6,4.4,4.6,2.9,null,4.5,5.0,3.7,null,3.7,null,4.2,3.0,5.0,4.4,4.7,4.3,3.9,null,4.4,4.3,null,null,null,null,4.6,4.5,3.9,4.7,5.0,5.0,null,5.0,null,null,null,2.7,4.6,4.4,4.1,3.8,4.4,4.6,4.1,4.5,4.2,4.7,4.3,4.3,4.2,3.8,4.0,4.6,4.3,4.3,4.3,4.7,4.4,3.8,4.6,4.6,4.5,4.5,3.8,4.3,4.3,3.7,3.2,4.0,3.8,4.4,3.8,3.4,2.9,4.5,3.7,3.8,4.1,4.1,3.7,3.6,null,3.0,4.1,3.8,4.2,4.4,4.5,3.6,3.6,3.7,3.9,null,4.2,4.1,4.5,2.8,2.6,4.3,4.4,4.1,4.0,4.3,3.9,3.5,3.7,4.3,4.3,4.1,4.2,4.3,4.3,4.1,4.4,4.4,4.4,4.3,2.4,4.5,4.5,4.5,4.4,4.6,3.4,3.9,4.3,4.4,4.5,4.4,4.0,4.3,4.2,4.0,4.4,4.6,4.0,4.4,3.5,4.6,4.0,4.0,4.1,4.1,3.3,3.9,4.1,4.2,4.0,4.5,3.8,3.5,4.3,4.6,4.7,3.8,4.7,4.8,3.2,4.5,3.9,3.6,3.7,4.4,4.1,4.0,3.1,4.0,2.8,3.7,2.7,3.9,3.6,4.5,3.5,4.0,null,3.8,3.6,4.2,4.4,4.0,4.7,null,null,4.1,4.0,null,4.7,null,null,3.8,5.0,4.4,null,null,4.0,null,3.8,4.1,4.3,null,4.5,4.4,3.4,4.1,4.1,3.8,4.3,4.4,4.4,3.3,3.3,4.4,3.7,3.4,2.3,3.3,2.7,null,4.6,3.5,3.4,4.3,4.1,4.7,4.4,3.8,3.0,4.4,4.2,4.5,3.5,4.5,4.5,null,4.5,4.0,4.8,null,4.3,1.7,4.3,4.2,null,4.2,4.3,null,4.0,4.2,4.6,4.1,4.6,4.1,4.0,null,3.3,4.1,null,null,4.0,null,null,4.4,4.2,3.8,3.1,null,5.0,4.2,4.7,4.4,4.6,4.4,2.9,2.7,null,4.6,4.0,4.8,5.0,3.9,4.2,4.1,4.7,4.2,4.2,3.7,4.1,4.1,3.8,4.6,null,4.4,4.2,4.4,null,null,4.6,5.0,null,4.5,null,3.5,null,3.9,4.4,3.0,null,3.1,4.4,null,3.0,null,null,3.7,null,3.7,3.9,4.8,null,null,4.6,4.6,4.5,4.3,5.0,4.3,null,4.7,4.0,3.8,5.0,4.8,4.5,4.3,null,null,null,null,3.7,null,null,null,null,null,4.3,null,3.8,null,null,4.5,4.6,4.1,4.2,null,5.0,null,null,null,null,3.3,3.6,4.0,4.0,4.0,4.2,4.3,4.2,4.5,4.3,4.6,4.4,4.2,4.2,4.2,3.4,3.2,4.0,4.6,3.2,4.4,4.0,4.7,null,3.7,3.9,4.2,4.1,3.5,4.8,4.3,3.9,null,3.5,4.3,4.4,4.8,3.9,3.8,4.2,4.0,4.0,4.4,4.7,4.5,4.3,4.3,4.1,2.1,3.7,4.4,4.2,2.1,2.4,4.1,3.1,5.0,null,3.5,4.2,null,4.7,null,null,null,4.8,null,4.5,4.6,4.6,4.9,4.8,4.0,3.9,4.1,4.1,4.5,4.2,4.0,4.4,1.9,null,null,3.7,null,4.2,4.0,4.3,2.5,4.4,null,4.7,4.6,4.4,4.3,4.4,3.6,3.8,4.4,4.4,3.0,3.7,5.0,null,4.2,4.8,4.4,4.1,4.7,4.7,3.3,4.0,null,null,1.0,4.4,4.2,4.4,4.6,4.3,4.4,null,3.7,2.9,4.0,3.3,null,null,4.2,4.5,2.3,5.0,3.6,null,3.9,4.4,4.2,4.8,4.3,4.2,4.4,4.3,4.0,1.4,3.3,4.3,null,4.6,4.7,4.2,3.9,3.4,4.3,4.8,4.8,4.5,3.3,4.2,4.9,4.2,4.6,4.1,4.6,4.0,4.2,5.0,4.1,3.7,4.1,3.8,4.7,3.5,4.0,4.2,3.3,3.7,3.4,3.7,5.0,4.4,5.0,4.8,4.4,4.9,4.0,4.4,4.5,4.9,4.4,5.0,4.8,4.6,4.3,3.8,4.3,4.3,4.1,4.5,4.2,3.8,4.3,4.4,4.2,4.2,3.8,4.2,4.0,4.2,4.3,4.3,4.4,4.1,4.5,4.2,4.3,4.4,4.5,4.3,null,4.0,3.4,4.4,3.8,3.0,4.1,4.4,4.1,4.1,4.1,4.5,4.1,2.2,3.9,4.0,4.3,3.9,4.0,4.2,4.2,3.6,4.3,null,null,4.4,2.6,4.1,null,3.5,4.2,null,null,3.7,4.5,2.4,null,2.9,4.2,4.2,4.0,2.6,4.4,4.8,4.7,4.4,4.6,2.7,3.8,1.7,4.6,3.3,null,null,4.6,2.3,4.5,null,4.8,null,5.0,null,4.1,null,null,null,null,null,null,4.9,3.0,null,null,4.8,4.5,3.4,null,null,null,null,4.0,3.7,2.2,4.8,null,5.0,null,null,null,4.5,null,4.3,3.8,null,4.5,4.5,null,4.8,4.5,4.4,null,3.9,4.3,4.3,null,4.0,null,4.1,3.7,3.4,4.5,4.4,null,4.4,2.4,4.1,4.6,4.3,4.3,4.7,null,4.2,4.3,4.3,4.7,4.2,4.1,4.6,4.7,4.3,4.5,4.6,2.9,4.0,3.0,3.9,null,4.8,3.9,4.0,null,null,null,5.0,null,null,null,4.0,null,5.0,null,null,4.5,4.8,null,4.6,4.2,null,3.4,2.6,2.4,null,4.6,3.3,4.1,4.6,3.9,null,null,null,null,null,4.0,3.4,4.5,4.0,5.0,3.6,3.5,4.6,4.9,3.7,5.0,4.0,3.9,5.0,4.0,null,null,4.9,4.4,3.6,4.7,4.3,3.9,4.5,4.6,4.3,4.6,null,null,4.5,4.2,4.5,4.0,4.2,4.7,4.4,4.2,4.0,2.3,4.5,3.6,4.4,3.9,3.9,4.8,4.2,3.7,4.0,null,1.0,null,4.4,4.2,4.7,3.6,null,4.1,3.3,null,null,5.0,4.3,4.7,null,null,null,null,null,4.0,null,4.4,4.6,5.0,4.3,4.3,null,3.8,4.1,4.6,4.0,4.7,3.6,4.5,4.0,4.1,4.0,3.8,null,4.5,2.8,null,4.2,4.8,5.0,5.0,null,null,null,4.3,4.3,4.5,4.5,5.0,3.8,4.4,5.0,4.7,null,4.7,2.2,4.6,4.6,4.7,4.6,4.4,3.8,3.6,4.9,4.8,null,4.4,5.0,4.8,null,null,4.6,5.0,4.6,5.0,null,4.0,4.3,4.5,4.0,3.2,4.6,4.2,4.8,3.0,4.3,3.9,3.9,4.8,3.5,4.4,4.1,4.2,4.7,4.0,4.4,4.2,5.0,3.5,3.8,null,4.5,4.1,null,4.3,null,4.3,4.4,null,null,null,null,null,4.0,4.3,4.0,4.9,4.7,null,null,null,4.3,4.2,4.1,3.2,3.9,4.2,4.1,4.9,null,3.7,3.5,4.9,null,3.3,4.9,3.4,null,4.5,4.3,5.0,3.5,null,null,4.4,3.7,null,4.8,null,4.3,4.9,null,null,null,null,null,null,5.0,4.3,4.3,null,null,4.4,1.0,4.5,null,4.0,5.0,4.9,4.7,3.9,null,3.2,3.5,null,3.7,3.0,4.2,4.0,4.1,null,4.0,3.1,4.4,3.2,3.9,4.2,4.7,4.0,null,null,4.0,3.7,4.1,4.4,4.0,3.9,3.6,null,null,4.6,null,4.4,1.9,4.3,4.5,4.1,3.8,4.1,4.6,3.7,3.9,4.4,null,4.5,null,null,4.4,3.5,4.3,4.5,4.5,4.4,4.2,4.3,null,3.6,4.0,3.8,null,null,4.4,3.9,4.1,4.3,3.5,null,4.3,null,4.7,4.5,3.8,4.5,4.2,4.3,4.1,4.6,4.5,3.0,2.6,3.4,4.0,3.4,3.7,4.5,3.9,null,4.0,4.5,4.0,4.4,1.8,4.3,5.0,5.0,null,3.2,4.2,4.6,3.8,3.9,4.2,null,4.0,3.8,4.1,3.9,4.4,2.1,1.8,4.2,2.0,null,null,3.4,3.6,3.7,4.7,4.5,4.6,3.6,null,null,4.4,4.6,null,null,null,2.3,null,null,null,3.0,5.0,4.5,4.4,4.5,4.8,4.3,null,3.7,4.5,null,4.3,null,4.4,3.4,4.5,1.6,null,null,4.5,null,null,null,null,null,null,3.8,4.3,4.3,3.0,4.0,4.8,4.0,4.5,null,4.7,1.9,4.9,4.4,4.7,null,4.9,4.8,null,null,4.5,null,null,4.6,4.5,null,5.0,null,3.9,null,null,4.3,null,4.8,4.3,4.6,null,null,4.1,4.5,4.3,3.8,2.4,4.3,2.8,4.5,4.6,4.1,4.2,4.6,4.3,4.6,5.0,5.0,3.9,4.2,3.9,4.2,null,null,null,3.5,null,4.0,null,3.7,3.8,4.3,null,null,4.5,4.6,null,4.5,4.3,4.4,null,null,4.6,null,3.9,null,3.9,3.1,3.9,4.4,4.4,4.4,4.6,3.9,4.6,2.5,4.6,2.8,4.0,3.4,3.8,4.5,4.8,3.3,3.9,3.5,4.5,4.0,null,3.6,null,4.7,3.9,5.0,4.6,3.9,4.9,3.6,3.7,3.9,2.7,3.8,2.8,3.5,4.1,null,4.7,4.3,4.5,4.1,null,null,4.8,null,null,null,3.4,5.0,null,null,4.3,4.4,1.8,4.2,3.3,null,5.0,null,null,null,4.8,null,4.5,5.0,4.5,4.7,null,4.6,null,null,4.5,null,null,3.5,null,null,3.5,2.9,null,null,5.0,null,null,null,null,null,4.8,4.7,4.3,4.1,5.0,5.0,null,null,null,4.0,null,4.3,null,4.1,5.0,null,5.0,null,null,null,4.0,null,null,3.5,null,null,null,4.1,null,null,4.6,null,null,null,4.1,4.2,2.2,4.3,4.7,3.8,null,4.1,null,3.1,4.2,null,3.0,4.8,3.7,3.1,4.6,2.9,4.2,4.7,4.5,2.8,null,4.4,4.4,4.1,4.6,3.0,4.1,null,4.4,null,null,null,null,4.5,4.5,3.6,2.0,4.0,4.5,4.0,4.3,null,4.5,4.8,4.5,null,null,4.2,4.5,4.6,null,null,3.9,null,null,4.3,3.9,4.3,3.7,4.7,4.3,1.7,4.5,null,4.7,null,5.0,null,null,null,4.6,2.9,null,4.8,2.3,null,3.8,4.2,null,4.4,null,4.0,4.1,3.4,4.3,4.0,4.2,4.1,4.7,4.2,3.9,3.8,4.1,4.2,3.8,4.7,3.7,4.3,4.0,4.2,4.6,4.7,4.3,4.2,3.5,4.7,4.7,4.5,4.5,4.7,4.6,4.6,4.9,4.2,4.3,4.4,4.5,4.3,4.4,4.4,3.0,4.8,4.7,4.6,4.0,3.7,3.5,2.7,4.7,4.1,4.5,4.6,4.5,4.4,4.3,4.4,4.5,4.6,4.6,3.1,4.7,4.6,4.7,null,4.4,4.8,null,4.1,null,4.3,4.4,4.7,4.0,3.4,4.6,null,2.8,null,3.1,null,3.9,null,4.2,null,4.1,null,4.2,null,null,3.3,4.4,null,4.4,4.6,4.4,4.5,4.1,2.2,4.2,4.8,null,null,3.2,4.3,4.6,4.4,4.5,null,3.4,null,null,3.3,4.2,null,2.4,3.2,3.1,3.8,null,4.8,3.7,4.2,3.7,3.0,3.9,4.0,5.0,null,4.0,2.7,3.1,4.1,4.0,3.8,3.8,4.3,3.5,4.5,3.9,null,4.5,null,null,3.3,4.1,null,null,5.0,null,3.7,4.8,1.5,5.0,4.6,null,null,5.0,4.7,null,4.7,null,5.0,4.5,null,5.0,null,null,5.0,4.2,1.0,4.5,4.2,5.0,4.2,4.4,3.9,4.6,3.8,null,null,4.0,null,null,null,4.6,null,null,3.4,null,5.0,4.6,null,null,null,null,5.0,null,null,null,null,3.0,null,3.8,4.2,4.3,null,null,null,null,null,null,4.4,3.2,null,null,null,3.5,4.4,4.5,3.7,5.0,4.5,4.5,4.1,null,3.4,4.1,null,null,5.0,4.2,4.1,4.1,null,4.2,4.3,null,5.0,4.4,null,4.3,4.5,null,4.8,4.4,null,null,null,4.4,null,null,null,null,null,4.7,null,null,null,null,null,4.3,4.4,4.6,2.8,5.0,4.4,2.0,5.0,4.4,5.0,null,3.4,4.4,null,3.4,null,null,3.3,1.5,null,null,null,5.0,null,4.3,4.3,null,null,null,null,2.2,4.6,null,null,5.0,null,null,4.7,null,null,null,null,null,null,4.7,3.5,4.3,3.6,4.3,3.6,2.6,4.7,4.5,4.0,4.6,5.0,4.2,null,null,4.2,null,4.7,4.5,3.6,3.8,4.2,3.8,3.5,4.1,null,null,5.0,null,4.2,4.1,null,null,3.6,4.3,4.1,4.4,null,null,4.0,5.0,5.0,null,3.8,4.3,4.7,4.5,4.4,4.7,3.7,4.3,null,4.0,3.9,null,4.9,3.5,3.5,null,4.4,4.2,null,null,null,4.3,null,4.7,4.5,4.4,4.2,4.4,3.3,4.9,4.5,4.7,4.7,3.9,4.7,4.7,null,4.4,4.8,4.8,4.0,3.7,5.0,3.0,3.9,null,null,4.6,4.6,4.3,4.2,null,5.0,null,4.5,null,4.2,null,1.0,null,4.6,null,null,null,null,null,null,4.1,4.7,null,null,null,4.4,4.8,4.2,null,null,5.0,4.6,4.5,5.0,2.9,null,4.4,null,null,3.0,4.5,2.4,4.3,3.9,1.9,4.4,5.0,4.0,4.7,3.9,5.0,4.2,4.2,2.8,4.2,1.0,3.9,4.1,4.1,3.2,null,5.0,null,5.0,4.3,4.1,3.8,4.0,null,4.2,5.0,4.1,5.0,null,null,null,4.1,3.5,3.9,4.2,3.8,3.7,2.8,4.7,4.3,4.1,null,4.7,4.2,4.0,3.2,4.6,5.0,4.4,4.5,4.0,4.6,4.7,null,4.1,4.5,4.3,null,5.0,5.0,4.2,4.0,null,5.0,2.7,4.1,null,null,4.4,null,4.3,4.1,4.7,4.4,null,null,3.6,4.0,4.1,4.0,4.1,4.0,null,null,null,null,5.0,3.6,4.1,4.3,4.1,2.6,2.7,3.8,5.0,4.2,null,5.0,2.6,4.4,4.3,null,null,4.7,2.8,4.1,null,3.6,null,null,4.0,null,null,5.0,5.0,4.7,4.7,4.7,4.6,4.6,4.6,4.6,3.8,4.1,3.4,4.5,4.5,4.5,4.0,4.7,4.4,4.4,4.7,4.7,4.2,4.2,4.0,3.6,4.7,4.4,4.3,4.4,4.4,4.4,4.3,3.3,3.6,4.5,4.3,3.6,4.3,4.4,4.1,4.2,4.8,4.2,null,3.7,4.5,4.1,4.6,4.5,4.7,4.3,4.3,4.6,4.1,4.2,4.3,4.2,4.3,3.6,4.2,4.2,4.0,4.6,4.3,4.4,4.5,4.3,4.2,4.7,4.6,4.5,4.1,4.5,3.4,4.2,3.9,4.4,4.1,4.3,3.9,4.0,null,5.0,4.2,4.3,4.5,4.5,null,4.5,3.5,3.6,1.9,4.3,3.2,1.6,4.2,4.9,4.4,3.6,3.4,null,4.7,2.9,4.3,4.4,4.3,4.6,4.6,4.2,3.5,null,2.9,4.4,4.7,4.5,4.4,2.0,4.7,4.4,4.4,4.4,null,4.5,3.5,4.2,3.7,4.4,3.4,4.3,3.6,4.6,4.6,4.2,4.3,3.8,1.4,4.4,null,4.0,null,4.6,3.9,3.8,4.7,4.2,4.3,4.1,4.3,4.2,null,3.6,4.6,null,4.3,5.0,5.0,5.0,4.5,3.8,3.9,null,null,4.8,4.1,4.0,4.8,4.8,4.4,null,4.1,null,null,null,4.4,4.3,3.7,4.3,null,null,4.3,2.7,4.4,null,4.5,null,4.2,null,3.7,null,5.0,null,4.2,3.9,null,4.5,null,3.5,4.7,4.2,4.4,4.7,4.6,4.0,null,2.5,null,null,3.8,4.7,4.5,4.6,4.6,5.0,3.9,5.0,null,2.3,null,3.6,4.0,3.7,4.2,4.1,4.4,4.6,4.2,4.4,4.3,4.0,4.5,3.9,3.7,4.6,null,3.8,4.7,null,3.4,4.5,4.1,4.3,4.6,4.3,4.3,4.0,null,3.5,2.3,null,3.9,4.1,4.5,4.6,4.4,3.1,4.3,3.3,5.0,null,4.2,3.8,3.3,null,5.0,1.0,4.5,4.6,4.3,4.4,4.1,4.5,4.2,3.7,4.1,3.9,4.5,3.6,3.2,3.5,3.7,4.6,4.8,4.1,4.4,4.3,null,4.0,3.1,4.2,4.1,null,3.5,4.3,3.8,4.3,4.8,2.3,4.3,4.4,3.6,5.0,null,4.3,4.2,4.3,4.7,3.9,4.4,4.4,4.3,2.6,4.3,null,3.8,4.2,4.2,4.1,4.0,4.4,4.7,null,2.6,4.3,5.0,3.7,4.3,4.1,4.3,3.8,4.5,5.0,null,null,3.9,3.8,4.6,null,4.6,4.7,5.0,null,4.5,null,3.5,3.3,null,4.8,3.9,null,4.5,null,3.4,5.0,5.0,null,null,4.8,3.6,null,4.3,4.0,4.5,4.6,4.7,3.8,3.4,4.7,4.0,4.6,2.0,4.3,2.0,3.6,4.7,3.5,4.0,3.5,4.3,4.1,4.6,3.8,4.3,3.8,1.0,3.8,3.3,4.8,3.0,4.0,3.6,3.8,4.3,3.9,4.2,4.0,4.6,4.6,4.5,3.7,4.4,4.6,3.9,4.4,4.5,4.5,4.3,3.7,3.9,3.9,4.3,4.1,4.1,4.4,4.4,4.2,4.5,4.6,4.4,4.4,4.4,3.8,2.6,4.2,4.4,4.2,4.0,4.2,4.0,4.4,4.5,3.2,4.3,3.4,2.3,4.4,4.3,null,4.3,3.6,4.6,4.2,4.0,3.2,1.7,2.2,3.8,4.8,null,4.4,4.5,4.8,4.6,3.7,4.4,3.5,3.8,3.8,4.3,null,4.6,null,4.5,null,3.7,null,4.8,4.3,5.0,3.9,3.0,null,5.0,null,4.4,4.6,3.9,3.3,4.1,3.0,4.2,4.2,4.2,4.0,3.2,4.6,3.2,4.1,3.3,4.4,4.0,4.2,4.1,4.3,3.3,4.7,4.4,3.1,3.1,3.3,3.9,3.4,3.9,4.4,3.9,3.7,4.5,4.7,null,4.6,null,5.0,3.0,null,3.9,null,5.0,3.9,null,null,null,null,null,null,3.8,null,3.6,3.9,3.8,null,4.8,null,null,null,null,4.5,4.0,4.7,4.8,4.7,4.7,4.5,4.0,null,3.2,null,null,4.7,4.5,null,4.5,4.9,4.2,5.0,5.0,null,5.0,null,null,4.2,4.7,null,null,4.5,null,null,null,4.5,4.5,3.8,4.5,null,4.3,3.9,3.9,4.2,4.5,4.1,4.1,4.6,3.3,4.5,2.2,4.4,3.9,4.5,2.8,3.3,null,null,null,3.1,3.2,4.4,4.1,null,5.0,null,null,3.8,null,null,4.3,4.6,null,null,3.7,4.9,4.3,5.0,null,null,2.9,4.4,4.4,null,4.6,4.5,4.0,null,3.5,4.8,4.8,3.5,4.6,4.4,4.3,4.7,4.4,4.0,3.5,4.6,3.9,3.5,4.6,4.2,4.6,4.0,4.2,3.8,4.1,4.1,4.2,4.0,3.6,3.3,4.7,4.5,3.9,4.3,null,3.9,4.3,null,null,3.1,4.4,3.7,4.6,4.6,2.7,null,null,4.1,4.2,1.9,4.6,null,4.2,null,4.4,4.2,3.9,2.4,5.0,3.9,null,3.7,5.0,4.0,3.0,4.1,4.8,4.5,3.5,null,null,null,4.5,4.5,4.3,4.4,4.4,4.2,4.5,4.3,4.3,4.2,4.9,4.1,1.4,4.0,5.0,null,4.2,4.3,3.8,4.1,4.2,4.1,4.3,3.6,4.3,4.6,4.4,5.0,4.4,4.5,null,4.7,null,5.0,null,null,3.4,3.1,4.5,5.0,4.3,4.4,4.3,4.0,4.5,4.0,4.1,3.8,4.6,4.1,4.3,4.3,4.2,4.3,4.4,3.9,4.5,3.5,4.2,4.1,4.1,4.7,4.5,3.3,4.2,null,null,4.6,null,4.3,4.3,4.0,4.7,5.0,null,null,null,null,null,null,null,5.0,4.9,null,null,null,null,null,null,4.3,null,null,null,null,null,4.5,null,4.1,4.3,null,null,null,4.5,null,null,3.9,3.7,4.2,3.6,3.6,2.1,4.7,3.2,3.0,4.3,3.0,4.3,3.9,3.3,4.3,4.0,3.7,2.8,4.4,5.0,3.9,4.2,4.8,4.0,null,3.0,4.5,2.6,5.0,null,null,5.0,4.1,null,4.5,5.0,4.7,4.5,4.4,4.4,4.3,4.2,3.0,4.1,4.2,4.2,4.0,4.3,4.1,3.6,4.3,5.0,3.9,null,4.1,3.8,5.0,3.7,4.3,4.2,4.3,2.5,4.3,null,4.3,4.2,4.6,4.0,2.9,null,4.5,3.8,null,4.7,3.9,4.5,4.2,4.4,4.8,4.2,4.5,4.5,4.6,4.1,4.3,4.7,4.4,4.2,4.3,4.5,4.8,4.5,4.6,4.7,4.4,4.1,4.3,4.2,4.2,3.6,2.8,3.9,3.8,4.4,3.7,2.7,3.8,3.2,3.9,2.3,4.1,4.3,3.1,4.6,4.1,4.4,3.2,4.5,3.7,null,null,null,4.4,4.5,5.0,4.8,null,4.6,4.0,4.1,null,4.1,null,null,4.8,null,null,null,4.3,2.8,null,null,4.7,4.5,4.2,4.3,3.8,3.8,4.2,3.8,4.0,4.0,4.6,4.0,4.3,4.3,3.9,5.0,4.0,4.1,3.9,4.2,4.3,4.5,4.4,4.1,4.5,4.6,4.1,3.9,4.7,3.9,4.3,2.9,4.4,3.7,4.4,4.1,null,2.8,4.9,3.4,2.8,2.5,4.7,3.1,null,3.2,4.3,3.9,3.6,3.2,null,3.5,3.3,null,null,null,null,2.4,4.4,2.8,5.0,null,4.4,null,null,null,null,null,null,null,5.0,null,3.3,2.9,4.1,4.6,null,2.2,4.3,5.0,2.5,null,3.0,3.7,5.0,null,null,null,null,5.0,null,null,4.1,null,null,null,4.1,2.6,4.6,4.5,null,4.5,null,3.3,null,4.4,4.7,4.7,4.0,4.5,4.3,4.6,4.7,4.4,4.0,4.2,4.1,4.3,4.7,4.1,3.1,4.0,4.4,4.4,4.6,4.0,4.6,4.3,4.3,3.9,4.5,4.7,4.3,4.6,4.2,4.3,4.2,4.1,4.6,4.4,3.7,4.4,3.9,4.3,4.3,4.5,4.5,4.5,4.7,4.3,4.4,4.5,4.3,4.3,4.2,4.2,4.3,4.2,4.7,4.1,4.3,4.1,3.8,4.5,4.1,null,4.3,4.5,4.1,4.4,4.3,4.4,4.3,null,4.1,4.6,4.7,4.2,3.7,4.7,4.4,4.7,4.2,4.6,4.5,4.8,3.7,4.3,4.2,4.1,2.3,4.3,4.6,4.5,4.0,4.2,4.6,4.2,4.5,4.4,4.0,null,2.8,3.8,4.1,3.8,3.4,4.5,4.3,3.1,4.6,3.3,3.9,4.2,4.9,3.9,3.7,4.6,4.4,4.0,null,4.2,4.6,4.4,4.6,4.5,3.7,4.1,4.2,4.0,4.5,4.6,4.5,4.4,3.3,4.2,4.2,4.0,4.0,4.0,3.5,4.5,3.9,3.9,4.1,4.4,4.2,4.4,4.3,4.1,4.0,4.3,4.5,4.6,3.7,3.8,3.4,4.3,3.8,4.7,4.4,4.4,4.1,4.4,4.0,3.9,4.3,4.2,3.3,4.0,4.6,4.1,4.1,3.4,3.4,4.1,4.0,3.4,3.2,3.8,3.8,3.9,3.6,3.8,3.9,3.2,1.0,4.6,null,3.6,4.9,null,2.6,3.9,null,3.5,3.2,null,3.3,null,null,3.8,3.9,4.6,1.8,null,4.3,3.9,null,4.8,3.7,4.0,4.1,4.6,4.0,null,4.8,null,4.0,3.5,null,3.0,4.6,1.6,3.8,1.7,4.6,5.0,4.6,4.4,4.5,3.8,4.0,4.1,null,5.0,null,null,null,null,5.0,1.0,null,null,4.4,4.7,4.6,2.4,null,4.5,null,null,4.4,4.3,5.0,4.1,3.8,3.9,3.1,4.7,3.5,4.5,4.6,4.5,4.5,4.4,4.4,4.2,4.6,4.5,3.8,4.3,4.6,4.3,3.6,4.2,4.7,4.3,4.7,4.8,3.1,4.5,4.4,4.5,4.5,null,4.7,4.1,4.4,4.3,4.6,3.4,null,4.7,3.6,3.7,2.1,2.0,3.5,4.3,2.4,4.5,2.8,null,4.5,null,2.8,3.9,3.2,3.1,2.4,4.6,2.9,4.0,3.7,2.3,2.9,4.6,4.3,5.0,4.2,4.6,4.5,4.2,4.8,3.5,4.6,3.5,3.6,null,5.0,3.0,null,null,2.9,3.7,4.6,null,4.2,3.2,2.5,4.4,4.3,2.7,4.0,4.5,3.4,4.3,4.3,null,4.3,null,null,4.0,4.9,3.4,4.9,4.3,4.7,4.8,4.3,4.3,4.0,null,3.5,null,5.0,4.7,null,4.2,4.4,4.2,5.0,null,5.0,2.0,null,3.7,null,null,null,3.9,4.5,null,null,null,3.1,4.5,4.7,null,4.4,3.8,4.2,4.5,null,4.5,4.6,4.2,4.5,4.2,4.2,4.1,4.3,5.0,4.6,4.0,4.4,null,4.5,3.6,4.6,null,4.0,4.6,4.5,4.5,null,null,null,4.8,5.0,4.4,null,4.0,3.5,5.0,4.0,4.2,4.0,3.9,4.5,3.6,4.2,3.0,3.0,4.0,3.4,4.9,null,null,null,null,4.0,4.4,4.1,4.4,4.0,null,4.5,4.2,3.9,null,3.6,5.0,4.4,3.6,4.7,4.2,4.5,4.7,null,null,4.3,4.2,4.4,null,4.7,4.4,null,4.1,4.5,4.1,4.0,null,null,4.3,4.2,null,4.2,null,4.1,4.2,null,5.0,4.0,4.0,4.5,null,4.1,null,4.7,4.4,4.9,3.6,4.2,null,4.4,null,4.5,4.2,null,null,4.2,null,4.5,4.4,4.4,4.5,3.9,4.3,4.4,null,4.5,4.0,4.5,4.0,4.4,4.3,2.5,4.4,3.8,4.4,4.2,4.1,4.2,3.9,4.5,4.1,4.4,4.3,4.5,3.4,3.4,4.4,4.2,4.4,3.5,4.1,4.6,1.7,3.3,5.0,4.8,null,4.6,3.3,null,4.2,null,3.5,3.7,5.0,null,null,4.6,4.1,3.5,5.0,null,3.7,4.0,null,null,4.2,null,4.5,3.8,2.5,4.0,null,4.0,4.1,null,null,3.4,3.6,3.4,3.9,4.6,4.3,4.7,5.0,3.9,3.9,4.2,4.3,3.5,null,4.1,4.2,4.4,4.5,3.8,3.4,null,3.9,4.5,null,null,3.0,null,4.1,4.6,null,3.9,4.7,4.5,3.4,5.0,5.0,5.0,4.0,null,null,4.0,null,4.9,5.0,null,4.6,null,4.8,4.1,4.1,null,null,4.7,null,5.0,4.4,3.3,4.0,3.5,2.8,null,3.6,3.2,3.6,3.7,3.3,3.1,4.1,3.1,3.5,3.6,5.0,2.3,null,3.1,2.9,3.0,2.9,3.9,5.0,null,3.4,5.0,null,4.8,null,4.2,null,null,null,5.0,null,4.3,4.6,4.7,null,4.4,4.8,null,null,4.1,null,4.6,4.6,4.0,2.9,4.1,null,null,null,null,4.2,null,4.3,4.4,2.4,4.2,null,null,null,3.1,null,3.0,4.7,3.4,null,4.7,4.7,4.2,5.0,4.5,3.3,4.4,null,4.2,4.2,4.7,4.3,4.8,4.2,4.0,4.2,4.1,4.6,4.6,3.8,4.4,4.0,3.9,3.5,5.0,4.6,null,3.6,4.2,null,null,3.8,null,3.4,3.8,4.2,4.2,3.7,4.0,4.4,4.5,3.7,4.2,3.9,4.0,3.7,4.2,4.0,3.9,4.1,4.3,4.5,4.5,3.3,4.4,4.2,4.2,4.1,4.1,4.4,4.1,3.9,3.9,4.4,3.8,3.0,3.4,4.3,null,null,5.0,null,4.1,null,2.4,3.9,null,null,null,4.0,null,3.0,null,4.4,3.4,2.9,5.0,4.5,3.7,3.0,null,4.0,3.2,3.6,3.2,3.7,4.7,4.4,3.9,4.3,4.9,2.6,5.0,4.1,4.0,4.1,null,3.3,4.2,4.0,4.3,null,4.4,5.0,4.3,4.4,null,null,null,3.9,4.3,4.0,3.8,4.5,null,3.8,4.4,4.3,4.7,3.9,4.2,3.8,4.3,3.8,4.2,4.5,4.2,3.6,4.0,null,3.5,4.4,3.5,4.1,4.8,4.4,4.3,4.0,4.2,4.4,3.5,4.3,4.7,5.0,3.8,5.0,4.8,4.9,4.3,null,5.0,null,4.9,4.9,4.9,4.5,null,4.5,5.0,5.0,3.0,null,null,4.9,5.0,5.0,null,4.1,null,4.1,4.3,4.3,4.1,4.7,null,4.9,5.0,5.0,null,4.6,4.2,3.7,5.0,4.3,4.0,4.3,4.0,4.0,3.1,3.4,4.2,4.2,4.1,3.4,null,4.0,null,3.9,4.8,4.1,4.3,4.3,4.4,null,4.4,4.5,4.5,4.8,4.4,4.5,4.6,4.6,4.5,null,4.7,4.5,4.2,4.2,4.7,4.1,4.1,4.6,4.4,4.5,3.8,3.9,3.5,3.8,4.2,4.6,3.7,3.6,3.4,4.0,4.3,4.5,4.4,4.5,4.1,4.4,4.3,4.5,4.5,4.5,4.3,4.1,4.6,4.3,4.0,4.4,4.4,null,4.6,4.6,4.3,4.3,4.2,4.5,4.0,4.6,3.8,4.3,4.3,4.9,4.0,4.5,4.5,4.2,4.4,4.4,4.0,4.3,4.4,4.4,4.0,4.7,4.2,4.4,4.1,4.3,3.5,4.7,null,2.6,4.2,null,null,null,null,null,null,null,null,5.0,null,4.3,null,null,null,null,null,4.4,4.3,null,null,null,4.3,4.5,null,4.6,4.6,4.7,null,4.2,4.5,4.3,4.5,3.5,4.3,4.6,4.5,4.4,null,null,null,3.4,4.3,3.8,4.5,null,null,null,5.0,4.9,null,null,5.0,null,null,4.2,4.3,4.4,2.3,4.7,null,null,null,4.4,4.3,4.4,null,4.0,3.6,null,4.1,4.6,3.9,4.4,null,3.7,3.9,null,4.3,4.1,3.6,3.5,3.9,3.9,3.8,4.0,null,4.5,3.6,3.9,4.3,4.0,4.2,3.7,3.9,4.2,3.5,4.0,3.8,4.1,4.2,4.1,4.4,3.7,null,4.7,3.8,4.0,4.2,3.8,3.9,4.0,3.1,5.0,3.5,4.1,4.5,4.7,4.1,null,3.9,4.0,4.3,3.1,null,4.2,4.4,3.2,null,3.3,4.3,4.7,4.3,4.2,4.7,4.3,4.2,4.2,4.2,4.1,4.2,4.3,4.4,4.3,3.5,4.3,1.8,4.2,4.2,4.6,4.0,4.3,5.0,3.8,4.3,3.0,5.0,4.7,4.6,4.4,4.7,5.0,4.8,3.0,4.6,4.6,null,4.6,4.5,4.3,4.2,4.7,4.9,4.3,4.4,3.6,4.6,4.5,null,3.9,4.3,4.8,3.7,4.5,4.3,4.4,4.0,4.7,4.3,4.5,4.2,4.2,4.5,4.2,4.1,4.2,4.6,4.5,3.9,3.6,4.6,null,3.4,4.2,3.4,3.6,4.2,3.5,4.3,null,3.9,4.3,3.6,null,3.9,4.3,3.7,null,3.8,null,4.1,4.1,4.7,4.1,null,1.9,3.6,3.8,null,4.5,2.7,null,4.5,null,5.0,4.0,4.2,null,null,4.4,null,4.0,null,3.1,null,null,5.0,null,null,null,null,null,null,null,null,null,4.7,3.7,3.9,null,null,3.0,null,null,null,null,null,4.2,3.0,null,null,null,null,4.2,3.7,4.6,4.5,4.6,4.7,4.3,2.3,2.8,2.8,3.6,3.0,3.2,3.5,3.8,3.5,4.2,null,4.5,3.4,3.0,4.4,4.0,null,4.3,null,4.1,3.6,3.7,4.2,3.7,4.3,null,null,3.3,4.4,3.5,4.0,4.9,4.0,null,4.6,3.6,3.9,3.9,4.0,4.2,4.4,null,null,4.3,null,null,null,null,3.7,null,4.3,null,null,3.4,null,3.5,null,4.2,4.2,null,3.6,null,3.9,3.8,3.8,4.0,4.5,3.8,4.9,3.8,3.5,3.0,4.5,4.7,3.8,3.3,4.0,3.7,3.9,3.5,4.4,4.0,4.0,4.6,4.4,4.5,4.3,4.4,4.3,4.1,4.2,2.7,4.2,2.3,3.9,4.1,2.9,3.3,4.2,2.9,3.5,2.8,null,4.3,3.5,4.6,4.2,4.2,3.7,4.7,3.9,4.3,4.4,4.0,4.4,3.7,4.3,3.5,null,4.3,4.0,4.5,4.2,4.3,4.1,2.5,2.7,null,null,null,null,1.2,null,null,null,4.7,4.9,4.7,null,null,4.4,4.7,4.0,null,4.7,4.3,null,4.7,null,4.4,null,null,null,null,null,null,4.6,null,null,null,4.4,4.4,4.4,4.6,3.1,4.3,3.7,null,4.1,4.2,4.4,4.1,3.6,4.4,3.8,4.0,3.2,2.8,3.1,2.9,4.1,3.3,3.5,4.2,2.8,2.1,4.4,4.4,4.2,4.1,3.3,3.5,4.7,3.1,4.3,4.1,4.2,2.5,3.9,3.0,3.2,4.3,4.3,4.2,4.3,2.2,3.9,2.8,4.4,4.6,4.4,3.9,2.9,4.1,5.0,4.6,3.7,null,4.4,3.9,3.6,3.4,null,4.3,4.4,null,4.3,4.3,null,null,null,null,4.5,4.3,4.1,4.4,3.5,4.1,3.8,4.2,4.3,4.5,4.0,4.3,3.4,4.0,4.3,4.7,4.5,4.3,4.1,4.1,4.4,null,3.8,3.9,4.2,4.2,3.7,4.3,4.2,3.6,4.3,4.3,4.3,4.5,4.3,4.7,3.8,4.0,4.1,null,3.9,4.3,3.4,null,4.2,4.5,4.4,4.2,4.7,4.6,4.4,4.4,4.8,4.6,4.3,4.4,4.4,3.3,4.5,4.6,4.3,4.9,4.3,null,4.5,4.9,3.7,4.5,4.6,4.5,4.1,4.8,null,5.0,3.4,4.5,4.5,4.5,4.5,4.5,4.5,4.1,4.1,3.6,4.7,4.6,4.9,4.6,4.1,4.5,3.9,3.9,4.6,3.8,4.7,3.9,4.1,3.9,4.0,4.3,4.0,4.4,4.1,5.0,4.8,null,4.6,5.0,4.2,4.7,4.0,4.4,4.9,3.5,4.1,4.2,4.4,null,4.5,3.1,null,4.5,4.6,4.3,4.4,4.6,4.3,4.8,2.8,4.1,1.0,3.0,5.0,null,null,null,null,null,null,null,5.0,4.1,null,null,null,4.4,3.0,null,3.8,null,3.9,null,null,null,5.0,null,null,null,4.5,null,null,null,5.0,null,null,3.3,null,4.5,4.9,null,null,null,null,null,null,4.3,4.5,4.1,4.8,3.8,4.1,3.9,null,4.2,4.2,4.8,4.1,4.1,4.0,3.9,4.1,4.1,4.2,3.7,3.9,3.9,3.6,3.7,3.6,4.3,3.9,4.5,2.6,4.4,null,1.0,null,null,null,null,4.2,4.8,5.0,4.3,4.4,4.5,null,4.9,null,null,null,5.0,null,null,4.2,4.2,null,null,4.0,2.1,null,4.2,null,2.5,4.4,4.4,4.6,null,null,4.4,4.2,4.5,3.3,3.9,null,4.5,4.1,4.8,4.6,4.4,3.8,3.7,4.2,3.7,4.3,4.5,3.5,4.0,4.5,2.9,3.9,3.6,4.6,2.1,4.7,4.5,4.1,4.5,3.7,2.9,4.0,4.2,3.7,3.6,3.9,3.4,3.5,3.4,3.9,3.0,3.6,3.2,4.1,4.1,4.2,4.2,null,4.7,null,4.6,4.5,null,4.3,4.5,4.5,4.4,4.3,null,null,null,null,4.2,null,3.7,null,4.3,4.0,3.5,4.2,4.4,4.2,4.4,null,3.8,3.9,4.0,3.8,3.6,4.2,null,3.8,null,3.7,4.0,4.2,4.4,null,null,4.4,4.9,null,5.0,null,4.8,null,null,null,null,null,null,null,null,4.0,null,null,null,null,null,null,null,null,4.0,null,null,4.9,null,3.8,null,4.9,null,null,null,null,null,1.5,null,5.0,null,4.8,null,3.9,3.7,4.6,4.7,4.6,4.3,4.2,4.6,4.7,4.6,2.0,3.6,3.2,3.8,4.0,3.8,3.8,4.4,4.4,4.4,3.8,4.3,4.6,1.0,3.2,4.7,4.3,4.5,4.1,4.9,4.1,4.2,3.5,4.2,5.0,3.8,4.7,null,null,4.5,null,5.0,3.3,5.0,null,4.0,4.5,3.2,4.5,4.2,null,3.7,3.8,5.0,null,4.1,2.9,null,null,null,4.7,5.0,3.2,null,3.8,3.8,4.6,4.6,4.4,4.8,4.2,3.3,3.9,4.5,3.9,4.3,4.4,3.9,3.4,4.6,null,null,4.2,null,null,4.8,5.0,null,null,5.0,null,null,null,3.8,null,2.9,4.6,3.8,null,null,null,4.1,null,4.5,null,4.2,null,2.5,3.5,4.6,4.4,4.6,4.3,4.2,4.2,4.1,4.2,4.3,4.5,4.4,5.0,4.6,null,null,null,null,null,5.0,null,null,null,null,null,3.4,null,null,4.6,4.5,null,null,3.8,4.1,4.4,4.4,4.4,4.2,4.2,3.9,4.2,5.0,4.0,4.3,4.6,3.6,4.4,4.1,4.2,4.3,3.9,4.3,3.5,null,null,null,4.0,3.8,3.6,4.3,4.2,5.0,3.4,null,null,null,3.5,null,3.7,4.2,null,3.6,4.2,4.3,4.4,2.7,4.1,null,4.4,null,null,4.5,null,3.4,2.9,4.8,null,4.0,3.9,null,null,null,null,5.0,3.9,4.0,3.6,4.1,4.3,3.8,4.2,4.3,4.2,4.2,4.1,null,4.0,4.1,4.0,4.2,4.4,null,4.2,4.7,4.6,null,4.7,4.1,4.9,4.0,4.3,4.2,4.3,null,null,null,4.7,4.8,null,4.1,null,4.0,4.2,null,4.0,null,3.3,5.0,null,null,null,null,null,4.0,4.2,3.4,4.6,3.8,null,3.8,4.8,4.0,null,4.5,5.0,null,4.5,4.5],\"type\":\"histogram\"}],                        {\"shapes\":[{\"line\":{\"dash\":\"dashdot\"},\"type\":\"line\",\"x0\":4.173243045387994,\"x1\":4.173243045387994,\"y0\":0,\"y1\":1000}],\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('540fe640-aaa3-4fc0-8eaa-d81521645057');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Average rating of apps\n",
    "avg_app_rating = apps[\"Rating\"].mean()\n",
    "print('Average app rating = ', avg_app_rating)\n",
    "\n",
    "# Distribution of apps according to their ratings\n",
    "data = [go.Histogram(\n",
    "        x = apps['Rating']\n",
    ")]\n",
    "\n",
    "# Vertical dashed line to indicate the average app rating\n",
    "layout = {'shapes': [{\n",
    "              'type' :'line',\n",
    "              'x0': avg_app_rating,\n",
    "              'y0': 0,\n",
    "              'x1': avg_app_rating,\n",
    "              'y1': 1000,\n",
    "              'line': { 'dash': 'dashdot'}\n",
    "          }]\n",
    "          }\n",
    "\n",
    "plotly.offline.iplot({'data': data, 'layout': layout})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **6. Size and price of an app**\n",
    "\n",
    "Let's now examine app size and app price. For size, if the mobile app is too large, it may be difficult and/or expensive for users to download. Lengthy download times could turn users off before they even experience your mobile app. Plus, each user's device has a finite amount of disk space. For price, some users expect their apps to be free or inexpensive. These problems compound if the developing world is part of your target market; especially due to internet speeds, earning power and exchange rates.\n",
    "\n",
    "How can we effectively come up with strategies to size and price our app?\n",
    "\n",
    "- Does the size of an app affect its rating?\n",
    "- Do users really care about system-heavy apps or do they prefer light-weighted apps?\n",
    "- Does the price of an app affect its rating?\n",
    "- Do users always prefer free apps over paid apps?\n",
    "\n",
    "We find that the majority of top rated apps (rating over 4) range from 2 MB to 20 MB. We also find that the vast majority of apps price themselves under \\$10."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAk0AAAJOCAYAAACqbjP2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9e5xdVX3/j7/25exznTOZzMmEBBKc5AwGZoY0CqKdmdQE+6vSEJPS9itUhYC1/UBi+/l8K0EuIUoSLvZiJfT3+1iJVkX9qCkRBLVV/NSEKraAJJAEMySQ4OQ2ZzJz7rd99u+PvdeefVn7cs6cuSXr9XgEZtZea73f673WPmfN2ms/F6coigImJiYmJiYmJiZX8dPtABMTExMTExPTbBCbNDExMTExMTEx+RCbNDExMTExMTEx+RCbNDExMTExMTEx+RCbNDExMTExMTEx+RCbNDExMTExMTEx+RCbNDExMTExMTEx+RCbNDExMTExMTEx+RCbNDExMTExMTEx+ZA43Q5Mpc6ezTS1vrlzo/rPIyM50++TkTZVdi5Ev2eaP7PVx9nq90zzZ7b6OFv9niw7zdS8eS1NrY+pMV1Qk6ZmiuMAQRhfqON58++TkTZVdi5Ev2eaP7PVx9nq90zzZ7b6OFv9now6OQ5gh5Sdf7KPHCYmJiYmJiYmJpvYpGmKxXHT7QETExMTExNTI2KTpinWtn87Mt0uMDExMTExMTUgNmmaYuXL8nS7wMTExMTExNSA2KSJaVJ15/demW4XmJiYmJiYmiI2aWKyqZn7rgpsZY2JiYmJ6TwRmzQx2cT2XTExMTExMdnFJk1MNrF9V0xMTExMTHaxSdMFoju/9wrDHTAxMTExMU1AbNJ0gYjtLWJiYmJiYpqY2KSJiYmJiYmJicmH2KSJiYmJiYmJicmH2KSJiWkGiuMY44qJiYlppolNmpiYZqjYPjQmJiammSU2aWJiYmJiYmJi8iE2aWJiYmJiYmJi8iE2aZok3fm9V8DzbF8KExMTExPT+SI2aZokkf0oM2lfCs8DG7/5IjZ+88XpdoWJiYmJiWnWSZxuB5imRuGAgM//9Cg7IoWJiYmJialBsZWmC0gzadWLiYmJiYlptolNmmax2H4pJiYmJiamqRObNM1ikZUjjmN7lZiYmJiYmCZbbE/TJIrjps4W26vExMTExMQ0uWIrTZMksvGaiYmJiYmJ6fwQmzRNUG77itjGayYmJiYmpvNH7PHcBDXVEyOyfykcEKbULhMTExMT04UuNmmaZeI4df+SAoDHFG6aYmJiYmJiusDFHs/NMn3+ObZPiomJiYmJaTrEJk2zTGyfFBMTExMT0/SITZqYmJiYmJiYmHyITZqYmJiYmJiYmHyITZomWeGAwGjdTExMTExM54HY23NTIL+0bjKx2nnTuyfTHSYmJiYmJqYGxCZNU6SwJGDL9w+4QgLYUShMTExMTEwzV+zx3BSqWK5NtwvTpqk8h4+JiYmJiWkyxCZN06Rm7HMKBwTc+b1XZsWEZNu/HZluF5iYmJiYmCYkNmmaJuXLsuvjOL8ToangNjVjYtbIo0e3c/2YmJiYmJimWmzSNEM1k1ZmpguoyUCeTExMTEwzSWzSNEM1GzaFcxxbDSKaDY9ImZiYmJgmJjZpmiWaqZOTC3E1iOPse9Jm0sogExMTE9PkiE2aZokuxMnJdMprkmrdkzYbVgaZmJiYmCYmNmk6DzUT36ibbWR0NkllYmJiYrKKwS3PQ83UL3y2GsPExMTENJvFVpomQVu+f8BXvrA0ezhLTExMTExMF7rYpGkSVA/5eyauChFoJhMTExMTE9O42KSpSZoJq0XkfLtmqNHJXKNxYJM0JiYmJqaZLjZpapJmyivn032+XaNxmKwVN8aSmjzRJsgs3kxMTOez2KSpSWKbnFV5xYHs45pKWSdk7Iu9OXKaIM/ER85MTExMzRCbNDFNuWbCl+pM8IFooo92abDNeso2OoFkfygwMTFdaGKTJqa6NJtYS26aSdyoZjza9ToA2k3TNYGcCfsAmZiYmOoRmzTNAM2mL4+JfDnPNM2UtswEH6ZDM2UfIBMTE5NfsUlTg2rWRCccELDtx1P75eFnXxFZifn0d389NU4xzQhNlBtWT9kLdbLIxMQ0e8WI4A2I44B7njmMlnCgKfVNx5eHn0cy+bIMBQCPWbQU5kN+vtgJq+qu1Usm3yEXH8jjw503vXtKbE7kUd2W7x+AXKW/vTldq6l+7U53XzMxMc0OsZWmBpUrVZGvTN1kJxxQGUzN/u6ZTY8G65XTqsnnnzvqq/xM2CxufYQ4kU3fk61iueYYs0YexdWzQd2pr/3anQl9zcTENPPFJk2zSE4MpolMfKZjXwlZxZnsCZvTF2E9X5AzcZIyU/Zi1aNG/K2nn5zyzrY4MTExzWyxSdMsVzgg4PM/9bdyQpPfL5VmT3Bm2l/2TpM4jps9kxRChK93QlrP/rWZMIFk5zUyMTFNl9ik6TzQZE9A3DarO726P9s2kdNiWM+EdKoRBk6b+WmPyPw85sqXZV+Pm2fCBHKmTbiZmJguHLFJ0wWqevdIuX1R0r5I/XwJN3O1wG31YSITGj9f0CSOjUwoJrJPze/kod5JBlvFYWJiYqKLTZomqMnaoD0VKpZr+v6iZonEw0++elELbhMfp4kBmQBM5grJRM77q6fsVDyWmioERj33DJvEMTExzRSxSVMTNN2H5E5YSnP3qviNh+c5dZYN48aJj5/jPya632syRJsA+J24TtVjqcmYXFpX++q5Z5rxssJM2IvFxMQ0+8UmTUwA6luJIftpJmMFwFqn20TB6ZpxP5XXRINsnp4q+Tnk1hpbo4/Tseri5E+9rjS62teMSVyjtmfi25NMTEzTJwa3nOHa+M0XEQ4I4KbgAWA9X4Z+Vz3qfXy57d+O4O8/8i6fuekiUM5owN/wJqse5AtyMuPt54ubFlvyKHUiK2f1TrhILIqVGjgOpsmlcaWoGTG783uv4JE/Xt5w+YnIa9Ls1mfT6TcTE9PUi600zVCRyYbft5qsavQv5Hoem/j9Eq6nzul+M2uqN7DXK+OEql7elXGVq5E36pz6sdExapJCWdFqcL9gveN+Io/X2Zt8TEwXlthKU5NE9mxM9C9u42rPRPdKNXMCYt3gPVn7hWhx9HorLhwQmu6Hm/wSxYmIj2FJQESb6DRrdaKeL23jeGjGl73fTf/GiY/b41CnFTY30fp/OibebLM6E9OFIbbS1EQ15S9uzNyN5Va/TKseDe5zockYx3BAwN8+d9T2RWvaHD6Fx9kA7hMOIz+JPNIiPpL4nU+rE37GqjVPM8f3dPQ/TdNB1mdiYpp6sZWmGSC/f7HPdE3WZK9QliFqVZPJGe1gWOu+G6smMrEzbcb24S8RLSa01bTpWjXzq5m2kuLV11Ot6X6szMTENDVik6YpltMEaaauLk2V6tm/UizXUK3KEEX7BMMrjlPFVALcJxq0zeokjW/Cep1xU3u9mqpHsRPVRO+ZqXzJgomJ6fwQmzRNg6ZigjTTVgb8aKJxmWibmxUzMumgrYZNpSYyCaM9iqVNUmez6n3LkomJiYntaToPZVwZmGoO0XRpoqshzV5NoZ0BV49m46R3ujXTHtkxMTGdf2KTpvNUXvtqzkdNdIN1veUna0I6lY/DzrfJ2Wwe6wyiycQ088UmTUxME9Bkbn6fCtWLT2CaPDVCLb/ze6+Ap3yKn2+TYSammSI2aWKaNpE3xsiRJ0yNifYF6fWlSfZdFWfYW19+v+y92kx7U5LgIGiTDD91As6TlEbrqyeNmq6AesAyDYHQDH+Mq2ET8puSVs8EsBl+W1f2JqO/mM4/cYqiKNPtxFRpeDjTlHo4Dnjg336DWCiAsKRujpWrNaRLVYQ0iCFJE0Qe53JlPX0iaW52JpLWTB8ny+/Z4ON09X+A53AmU3JNC4kCcsUKKgoQCox/M01WbIuVGkIBHiFRQLEqO8bH6k+A55ApyTYfo6EARgsVPT3Ac6jUFJNtWhope3KsYMon8LwpzWo7pG16l2s1PY5tEQnFqmzz0RpbY1mB53W/Q6Lgmkb8aYtI1HykTqOPJLZW207+0NrXTB/9+u3UFqc+qMdHv34b0/z66DetVK3hL9+3CLUmLkQnEi3Nq4ypYV1QkyYmJiYmJiYmpkbFHs8xMTExMTExMfkQmzQxMTExMTExMfkQmzQxMTExMTExMfkQmzQxMTExMTExMfkQmzQxMTExMTExMfkQmzQxMTExMTExMfkQmzQxMTExMTExMfkQmzQxMTExMTExMfkQmzQxMTExMTExMfkQmzQxMTExMTExMfkQmzQxMTExMTExMfkQmzQxMTExMTExMfkQmzQxMTExMTExMfkQmzQxMTExMTExMfmQON0OTLWGhzNQlObUNXduVP95ZCRn+n0y0qbKzoXo90zzZ7b6OFv9nmn+zFYfZ6vfk2WnmZo3r2VC5Zv53Xe+yk+ML7hJU7PEcYAgjC/U8bz598lImyo7F6LfM82f2erjbPV7pvkzW32crX5PRp0cBzZJOQ9lHzlMTExMTExMTEw2sUkTExMTExMTE5MPsUkTExMTExMTE5MPsUkTExMTExMTE5MPsUkTExMTExMTE5MPsUkTExMTExMTE5MPsUkTExMTExMTE5MPsUkTExMTExMTE5MPsUkTExMTExMTE5MPsUkTExMTExMTE5MPsUkTExMTExMTE5MPsUkTExMTExMTE5MPsUkTExMTExMTE5MPTeuk6d///d/xzne+0/TvU5/6FDXvf/7nf2LNmjVYvnw5Pv7xj+PEiRNT7C0TExMTExPThSxxOo0PDg5i1apVeOCBB/S0YDBoyzc0NIQ77rgDmzZtwsDAAB577DHcfvvteOqpp8Bx3FS6rKvE8Th8Mo10sYp4WEQ8IGAsX8a5fBn5sox8WUZLSEQ2lUO+VEW2JCMeFhEUeZw4PoKWsIREVEJrRAIAjOXLGM6WkS5WEAuKEHkOJ46PICSJ4DkOAZ5DJChitKLg6LERRIMCwgEBPAcUqwrefGsEcyMSSnIN6UIFLaEAcmez4HgO+aoMiedRkhWcPZmGAiBXqiIWEiEJPN56awTRoIiQyEMBUKgoeONYCq3hACSBx1ihjFBAROp0BiLPoV3zuwQSgwpaIwFERAG5imqD4wGJ51Gs1pApVhAPB1A8l0e2VMVYoaLX/dZbIwhLIjgAHA+0igJOjhZQqMgoaHGMh0VU00XMj4dMfTCWL2M0X0GuXEWuLKM1JELMlwEAw9ky8uUKWsMSzmo+toQCiEoCoHAYOZOBXFOQK1URDaox5qGgmi4iU6zgXL6CqCQgEhBMdaaLanp2OIfRQhmxUACJqOQ4Tk6niziXU8vFQwFEJAG/PTGCaMjc/1ZVwOHo2SyqNQU1RUG+VMWciIQwz+PY2SzyFRl5bUzFAoLFljomS6MFFCsyxgpq/KM8/V45nS7iXL6MdKGKWFBAWBKQT+WQK8vIFKuIBtU4lM/lUazWTLYLqRxyVRnZQgUXtYQgg8eZk2lkNJsxSUC5VkO5quCtt0bQGpH0eKUqCt4+cQ5zIhLK1RqypSpikoDSaAGZYgVjhfF7CwCGRgsYK1SQLVaQiAUxfEq9/6KSgJAoQOA4lEYLKJRl/T6SBA45rS1pbdy1SILtnnOLj1u/ZktVtEcllGUFx4+fQzwccO1Xq8byZaQqjZVtRBNp83TILT5+2lIBhzfOZPU8bvfqRDRVdpimX9M6aXrjjTdw2WWXYd68ea75vvvd76Knpwe33norAODBBx9EX18ffvWrX+Gaa66ZCldNynM87n7yAJ4fTOlpH1jWgbuuW4b7n3rNlN6fbMctfZ341LdeRr4sY6ArgT8fWIKbvrwPV13ahodvuBJVcLj7Wy9j75FhvVxfsh0b+jrxqS//Cu9dMhd3fehy/M13fo29hroHkgncsWopNn7rZTx0w5X4+3//jW57UVsYX7/tPXj4h4fw1x94Jx545iBuuuZSfOX5Yyb/iJ1Pfv1F7LzxXXjsZ0dMNnQ/vvUrrFg8Bxv6OrHzuSP4qw9cpscgIgn44o0r8M0X3sJN11yK3S+ewF9/4J249/uvusZCr/txte4/H1iCwNwwTo8WsPNng6ayA10JbF/Xg8XtUQBAARzePpXBo88dseXbuCqJv/nuK3j8lqvxGUs/9SfbsXVtD0ZzJdz8lf9Gviyb2vmtFw7jxmsu1X1cvWwe7r7uCnz2qdewd9DePzf+8wu46tI2bF/XjXbLOMmCx93f+bXN/n1ruvH//O9f4IoFcTx0w5Ww/pkwNFrAlqcP4iOG/opIAv73R9+NgMDhUUtsPrCsA/ddfwXuefIA9nmMvYdvuBIL54RNPt5LGVe3r1qK2/5FjU9EEvCVW66CosBmeyCZwP1rr0BbVEJBrlHH/7Z1Pfjzr/0XTpwr6H10x6okNn7zJTx0w5V45Mevu46T63rmY/OHLsfdTx7Ay8dH8cUbV+ALPz1iG8efXduNB/YcwE8OnwUARCQBu265Go89Zx7T/cl2bF/fiwd+cBA/OXTGNHas8aGJ9Cvx5R9+8huTLyu7EtR+tWpotIDNu/eb7nu/ZRtRnvI547fN0yGn+Dh9ZlrbMjRawOYnXzX1/cquBPVenbCfNDsf7kYIShMtMc0EcYqiTFuvrl+/Hh/72MfwR3/0R675br31Vixfvhx/9Vd/pad97GMfQ39/P/7iL/6iLpvDwxlMpMVlnsedli9iANi4OomXj5+zpQPqB/qKxW3Y+dwgAPXmXr5oDnY+N4gH/6gXz+4fMt1w1nIA8Mrxc455bu3rxC7LZOipjX14+EeH9WsrFre5+kerg+Z/X7Idmz+4DA//6LCel7Sd2PBbl/X3gWQCd6xeikefG6SWHUgm8Ld/uhwhkcezB07iBwdOOuRrx6ctPhrVn2zHxtVJ7BtM6X4YfSFt2fncoO9+HehKYOeNK/S/gk+ni/hflgmT0f6Gvk7c9i//jZVdCTyyrhsXtccAqH89b/zWy1i+aI7J7sbVSVzcGqK2uZ6xt7IrgUc1P0+ni7aJOK3cxtVJLGwN4RmHeD+4vged86KO/dafbMedH1yGtTufN9Xvd5w8fvNVej63tvYn2/E7hrbWk5fIGB8ASKUyaG9v0a8b+9Wtfmu/EpH6SD8bv/S9ytL88Zs2li9j4zdfova1V5snmtZIebf4uH1mkrYAcCxvvVcn0kY3Pwe0fhRrzfmKnTfPHtd6NNHvvgtBfmI8bXuaFEXBsWPHsG/fPvzBH/wBPvCBD+Bv//ZvUS6XbXnPnj2Ljo4OU1p7eztOnTpVt12Om9i/TFmmfkiuWDSHmg4Azw+msGLRHP33vUeG9d87WoLUm99YbsWiOa55OuJBm21R4E3XvPyj1UHz//nBlF43Eamb/N9vXdbf9w4OIxoUHcvuHRzGuZy6JN8RD7nks/to1L7BFKJB0eSH0RejT377de+RYQxnx8fuuVzZ1X5HXF1L+PmRYaQrNf3acLasjw9rjJ3aXM/Y+7nBz3O5sufYI/XPd4l3Rzzk2m/7tP6w1u93nBjzubV1n6Wt9eQl+rmlH61P/4396la/tV+t9ZF+rqcszR+/acNZ5772avNE0xop7xYft89M0ha38tZ7tVEfvfzce2QYmUptwt855N9E1Sw/zud/fjRtj+eGhoZQKBQgSRK+8IUv4O2338a2bdtQLBZx7733mvKSfEZJkkSdYHmJ9ldQPTp6bISaXqrSP+ScrpPf6y1HU7Yo29IyhYrpmlc9tDqc/CB1W6+R/9dTl/V3r7LpYhUBgfNsj9VHq7JFmVqHtS319E+mOG4zXax62icijwjVchWqXTc/6h1DxE8vH+uJgVe/0frD7zgx5qunrY3eW8Z+nDvX/HlhjJlX/cZ+tdaXLrqPT1pZmj9+07zsubV5ommNlHfz1/PeL1Y8H4plKPU30kY//XjZRW0e3kyNMuAm/WFhPBRAe2wyHi7PHE3bpOniiy/GCy+8gNbWVnAch8svvxy1Wg2f/vSn8ZnPfAaCIOh5g8GgbYJULpcRj8frtptKTWyJMh6ihywoui/aWa+T3+stR1MsJNjSWsIB0zWvemh1OPlB6rZeI/+vpy7r715l4yERAYHHSM59wmz10apYSEC+bI+JtS319E9LaNym0zgx2ieKSOM/x7U63GLk5oOf68RPLx/riYFXv9H6w+84Mearp62N3lvGfhwZyZi+JI0x86rf2K/W+uIh9/FJK0vzx2+alz23Nk80rZHybv56xb3Fo61OeRppo59+HB7OePrjR4nExP7gv3f3ARQq7n+oTFQP/lEvlGL9ixkzRX5iPK3IgTlz5pjeflu6dClKpRLGxsZM+ebPn4/hYfMS6PDwsOcGcpoUZWL/WiQB/Un7NsKXT4xS0wF1f8bLJ0b13we6EvrvZzIlDHQlXMu9fGIUAy51n0mX0Ge5XpVr6Neu9Wv1WPN41UHzvy/ZrtdNROom/yc2veqy/j6QTCBXqjr6MZBMoC0qIRGTcCbj7O8AxUej+pPtyJWqJj+Mvhh98tuvA10JJGLjq6FtUcnV/pl0CYC6ByMeGL8NEzEJK7Xx0WeJsVMf1TP2Vhr8bItKruPKGIPT6aJjvM+ki8iVZNf2VmXz6kA9Y844ntzGcb+lrfXkJVpp6UfrH1jGfnWr39qv1vpIP9dTluaP37RETHL8nPFq80TTGinvFh+3z0zSFrfy1nu1UR+9/BzoSqAlwE/4O4f8my1qVnun458fTdukae/evbjmmmtQKBT0tEOHDmHOnDmYO3euKe/y5cvx4osv6r8XCgUcPHgQy5cvnzJ/iaRaDdvX9dq+IA4PpbF1bY/tQ5Rs+t217xgA6G/P7dp3DCu7Elh12TzsWNdtu/H6DOUODo3hvuu7MZA05xlIJrBpdRc2796PDX2dJtt3PPEStq3rwe4XT+C+Nd04NDRmy2O0s3n3fmxa1WWzYfSD/PzV549h+/rxGOzadwwb+jp1G9/TbFpjZI2Fte7bBjrR0RLExlVJm58DXQlsX9+D+fEQWiMSBpbOxabVXdR8G1d34Y4nXsKW6+k+bF3bA4HjdD+MvpA2kGsHh8awdW2P7UPa6PvKrgR2rOsxbSydHw+ZYmS0v+X6bmzevV9/EyhgWDRvjUh46IYrcfhk2tRfu/YdwyVtYWqbDw+lHW1Zx97DN1yp+zk/HsK29b3UcbVxVZdebte+Y1g6L0qPdzKBqzvnoqNFwta1PVQftq3rxR1PvDRepst53NL83v3iCb19ZKzRxvHWtd04PJTW03btO4ZNq+1jmrw99/rJtCndGh+ajP3q5AutX60i/Wy97/2UbUStEYn6OeOnzdMht/g4fWYa20LKW+9b2r3aDD+d7DRrEzjTzNG0vT2XzWZx3XXX4eqrr8Ydd9yBEydO4N5778XHP/5x3HrrrRgZGUFrayskScLbb7+N6667Dhs3bsSqVavw2GOP4ejRo/j+979fN6epWW8QlHkembKsMnFCIuKSgGg4YOM0hQIC8uUqskWVayOJPMbyKjMoEVNv7lQqAzEcxHC2jEyxgqjGaRorVBAKCBB4DiLhNGk8nYjGzlE5TSrjxsppioq8hdNUAxSMc5qCqj+j+bKF0zTOVgoKvMkPwcBpGkrlkNZi0BoWEQkIyFVkQIGd0xQKqNwqjdMUDwUQFHmcy5fHOU0c0BoQoAi8ymky8IDmRCQTp4nEjHCaSLwv0vIMZ8solCuIhyXkNW7POKdJQbmmoEo4TZIIgecAKIiHJWSKFYzmK4hIKgtrrsZcIf0T1rhAY4UyokG1H6uFEvUtm2ogoHOaiH013ub+t5Y9lcoiXwPkmgK5piBfljEnEkCY51CsKTorqSUsoiUg4OL2qJnTFBJVNlZFHh8PAqhvc1UD6rjNkHElCRA5Tuc0RYICogEBQZE3cZpaNEZUriojV6ygIxZCDdDKqTZbDJymfFlGazig/5V/Ol1EsSKjNSyhLNeQK1URkQTEQoFxTpN2by1sj+qcplypgrnRICpyDemiWiYkChA5IBAQUNDsRzVOE89xyBp8iktqvAjnh6Q7xcetX8c5TTUUyrLtvvbzVtvpdFEbv+5l3fzxm2b8nKm3zVP59hyRW3z8tOVUKoucDD2P07060TbS7FTypaauEE307bmPfukXU/J4rs3HlpKZKj8xnrY9TbFYDI8//jh27NiBG264AdFoFB/5yEfwiU98Ar/97W9x7bXX4mtf+xquueYaXHLJJXj00UexY8cOPPbYY1ixYgUee+yxaQNbAkBQqeHiBeN7qlKpjP4XjjGtXeMKGdM6F9s3BtLK0vKJlQreeZF5JS6VylDT2n1+GC651F728gXttjRr2SBqWLYg7plPT2+L2NI6Kbbb59hj1m4BWwL0mJHfja9PL6b4uLjDwcd4yDY5o9Wp9uu4n6lCyVYfoK5MWOtbvMh7Y2gACpZQbuBUKoMF8+x9aLWlxjFMzefHR+rYofQfbXxb463nXWBud7VQQrtlk+y432FTGgAsnBPWGTypVAbt8yhjj9JmWlsA+vjxK2rMGtjw2xpRv8SnarPwRNo8HXKLj5+2BKBgqeVed7pXJyKaneF88+0wTb+mFW7Z1dWFr3zlK7b0Sy65BK+//rop7fd+7/fwe7/3e1PlmqeciOA0QnWpWsNIvoxMsYqWoIjUqTREgddXbAA6EfztE+fUFZmAgHSholOlc6kcClUZ2WIVbREJIZ7HG2eyGCuUEQmKEDgOEs9h5HQG2VJVJ9QWwePQybRORo6HAxOC6HlRcI1tagkKqKaLyBarU0ojrpfU2wgx+XS6iHMGUntEEtDmsvzvx8Y4bV0dX20RCSGRR7rG4fTQGHJlGXPCAXS0NOdNFdP4k4TxcWtYubJS2WnU8pagOuZbIxK1zql8DHQ6XcS5soI3jo3oMbRS5ZuhqaZ6MzE1onuvvwLWp4UCxzX1nbqYJAI17ze+Z7OmddI0W0UjgpO9Gw//6BB++OppPX2gK4Hb3z9OVwbG98M8+OwhfO7DPY5E8E8OLEFYEnHv916hUqX/+tu/xv1ru22UbxrR2Y2M3Agd14u2a6T5EmL4V54/aKN3TyaNuF4icCPE5OOpHO558oCNor5pdRcuabVPaPzYOJ7KUUnm29b14pEfH7aNrx0TJBzTyMu0cdufbMeO9b1YrD0qs1LLiVZ2JbBtXQ8+ZyFuE9r1VNCnnWK4Y30voi7l6tVUU72ZmBrVtqcP2h7PNf1x2nk+YQKm+e252agyz+PuPXYi+L7BFO7dcwB//O5FpvS9R4ax82eDuLW/U097fjCFrzx/DO9cEMf//c1Z3P3kqzZA2vODKQyNFvDA069RbT3wg9fw2J+9y/aFBagQSKPNW/s78ahlwkTquefJAxgaLaAejeXL6heFpb6fHxnG3Xtew+l00fRFcmt/J93PI8O4a/d+jOWb/4qql49Wm2P5MrUf3Hw8nS7aJkyA2nePPncEe98YMZXzY+N0umj7sgfcxxetPX5VAWf70if1WsftvsEU7tbGy+bd+7FsYSu1X39+ZBh3P3nA9uj255PY30a5xfDuJw+g1KSPPX2MWWJH2lnB9G0fYGJimhyxSVOdciKCA2bSs1FWKrMxzY1u2xEPOV4jlGU/RGUvMvKYBwjSKi8K7rmc+boXOZlG552o6iUC10NMJvIiane0BE3l/NjwSxL3ao9fpSs1xzjRxi0ZLzRquTWfH+L2ZMgrhmkHcGS9apTqzcTENHvFHs/VKS8CrBPl2I0+7aSJUq/9Ep1pdFw3ecXASpputn0/qoeA3Eh+tYw3UdtMCfe2UZbd9xc4ja9GY5jxSQWn2WoGcXsy5NUvXv3g345Xf7r7wcTENPvEJk11yosA60Q5plFsJ0oD96Je+yU6+yHoGuUVAytputn2/ageAnIj+dUy3kRtMyXc20ZFdp+IOI2vRmPY4pMKTrPVDOL2ZMirX7z6wb8dr/5kH69MTOeb2OO5OuVEBAfMpGejrFRmY5ob3fZMuuhIbCaUZT9EZS8ycqvH5MsqLwpuW9R83YucTKPzTlT1EoHrISYTeRG1z2RKpnJ+bPgliXu1x6/iAd4xTrRxS8YLjVpuzeeHuD0Z8oph3OGIknrVKNWbiYlp9ord1XXKiQhO3m763osnTOkDXWa6MjD+9tzrJ9OuRPCFc8K4z4FqveX6btzxxEvY0Ndpu04jOruRket9m8mLgjs/HjLRfAk52ebnJNKI6yUCN0JMJnRoGkV90+ouDCxtN5XzY2N+PIQdDnRvp/E1EcJxAAqVvEwbt+Tts4VzwlRqOdHKrgR2UIjbKyexv41yi+GO9b0Iojl7jaaa6s3ENBFtXXsFHvyjXtO/mMRWQ+vVtBHBp0uTTQSnEaqNnKaYxlEShXGythMRnNBljZwmQpU2c5o4FGQFYwWVYi3wHAI8h4pGvCaE2myhgrSBjNwaDiAoV5tKwTXSdo3E5WhQQDwsIVusTimNuF4icCPE5NPpoomoHdU4TU6UcD82jLT1eEhEW1TlNI3kyiopXaNrd7QEHe3Uk2bsq4gkYD4ZtwZOU1vUzDmiUctjQUE/6oZWpx3+2ry+pvYLxf+ppFbPFLL2dKbNNH+mysdmfdcQTZQI3mx/zkfNaCL4bJdfIjj5vcNIaqbcsFQiuIEcbSIhUyjMC63U21QG7ZYBUC2UTD6TfI3Ki7ZrbNM4bbs5tpvlo1WNEJPnx0MQKxUss1LZHez4sUGjrQNqH3YubPVlpx5Z+4o6bi1gSBq13EpQp9U5VdL7ZcFc78wT0FRTvZmYmKZPbNLUgKo8h0ylhhMGAjAR+eu6XK0gFpRw5mQamUIFLeEAQiKPiqLg7Mk0wAEcgIDAI8JzJnpyaziAMM/jrVROO0erqpOmOXDIDGdN58NFAwLSZ7PqmWBlGW2RAMICj8On0sgWq2gJiwiLAnJlBcfeTKE9GtTPqIuHAiiNFvRJ2dBoAWNlBYNHUzo1fOGcMErg8fqptHoaNIB8WaU/51M5ZMtVZEsqoToq8njzbBYKYD53zmEfiWk1ICwiGhBw7kwG1ZpKmG6NSDoxu17COCE1v/XWCCJBdahzHBDieXMMtXPwZCjIpXL62WnxcACRgIC3T4ygJSihXKvZqNeNitaWdKGC0UIFUUk9683avkRUQpVCOK+Aw5HTmfGyQRFhcHXRzd3o3SSOb741gqg0HkdJ4HHi+AhawpJ+DxjJ2LGgiJx21mBUEpAbzqEk1yBT6OFOvsS1e+Ho2ax6ZqHD/ZYuqjbSZ7NI5crqmXzBAHJVBanTGZ1YbhxP5Cw7Qsh3GqMzUdNNW2diulDFJk11qsBxuMeBMl0eLeDO3ftxeqyIL338KtxFIRLft6Yb//jT13HDuxfhmy+8hZuuuRTf/tVxfGJgCW796n8BAB676V2ISAJ2WoCUZK8MBwUbvjpOah5IJnDHqqW49V/+GwDwxRtX4KvPH8O+wRQSMQlPfOK9+MyTB/Dy8VF88cYV+IefHKGSkhWASjrfvr4X//Dvr2PN8ottMMP+ZDtu6evEp771MvJlGf3JdjywrgcP/OAgnjt81lbPpYZVsix43P2dX+v1RSQBj998Ff7pZ4Omdg90JbDdQJj2QxinkZr7ku34i4GlWNgWxv3ff5VK3H7wh2ai+7XL5uHeNVfg3j2v2qjXjdKtvWjpbnG44/1qPxPS+1duuZo6Tj67tgcPfecV/OTwGVN5Gt3ciWr98A1XQgGocdzQ16mP30987UXsvOldeOy5QewdHM9nHBsAqG2yxpFGTLeOsZUaBd2pjz/RvwTpYgXf+OVh3EQhlg9oxPLPPv2a5xidiXKjkE8FbZ2J6UIW29NUh6o8hzstEyaiga4ErutdgM/86wH8+/9aia1P2UnegPrBvKGvE7ueP4YVi9vw8vFzpv8DwMLWEJ49cBL7KOX7ku34w94FGBorYudzg6Z0Uv7l4+d024/ffBV2aV8aG1cnTdeMenB9D549cJLatv5kO+784DI8/KPD1LLENvGnP9mO3zH8bqznkT9ejoVzwjidLuJ/GSZMAFz9M9bplm9lVwKf/5Pl+JvvvkIFD377k9fg0ecGXfvmNm3y6eXTyq4EHr1xRV37V06lsvj0ntd032j1u9k0xnrj6iR+ffwcdZw49YHRZ5o/Rj34R714dv9J00TI6sfLx8/hVm08u/kLwDOOALDxmy9Rx6B1jLn5tkMby7+j+ec1nqzpZIwCM2/fjVt/NTIeZ+t+odngI9vTNPvkJ8bs7bk6lKnUHInOe48M64enVmXFk+pMaMvW/69YNAfz4yHqFyGgUprnx0OOhHErpZnYAtzJ3M2ij5P8NBq0kT5Oozb7JUx7EcatRHKjokGxLuJ2s2nmVgI3rX43m1bSu9M48UvkdiOCq7R6d1r484bx7JbPTxzdiOnWMebmG7l/GiGWN0LIn0q59ddU0NaZZq9GqzWca/BfhWdTBSL2eK4O+aUnpz0+dAnV2Urs9iIsW+34STcSpN3qbxZ93Ks+QoOmUZv9Eqa98rkRoZ2I2k7Xm00zt46hiZDim0HkdhvTfuv3iqmfcZ0pVjxf0DfW42csz1Ri+UTk9Rk0k31nml5tfcp+YK9fNf1g31ksNmmqQ37pyXEPWCShOluJ3V6EZasdP+lGgrRb/c2ij3vVR2jQNGqzX8K0Vz43IrQTUdvperNp5tYxNBFSfDOI3G5j2m/9XjH1M679xNFYj5+xPFOJ5ROR12fQTPadiel8EJs61qGWAO9IdB7oSuBMRn31WxQ4T6ozoS1b///yiVGcdiGB9yXbcTpddCSMWynNZ9Il3Rc3grNKH6e3rR76OMlPo0Eb6eM0arNfwrQXYdxKJDcqV6rWRdx++cSoY/5G6NZWAjetLW7ts5Le3YjxfojcbkTwM5mSJy28zzCe3fL5ocK7EdOtY8zNN3L/NEIsb4SQP5Vy66+poK0zMV3oYpOmOiTWFGz/cLcjZfr9l83Dyq4E7vjGS9jmQA3fcn03vvfiCWzo68TBoTFs6OvE4ZNpbFqt0pd37TuGBa1hbKQQvMnbc0vnxUyk5oFkAptWjZc30rc3796P+9aoVHFyzfpF0p9sR18ygW3re6g+b1/fi6/sO+pYdkNfp+6P+vZcLw4NjVHrIRtsCU3baG/XvmPYuCppi++AhTDtRRi3EsmN8StXFGxdS2/ntvW92G0hbh8aGsMD63qo1OtG6NZWAjetLXockvY4kHGi51vdZYtXX7IdW9f24LCFyE2jmzsRwVd2JbDqsnmOcTSO382796sEdEs+49hwapMxjk7EdOsYW9mVwMDSdkffFrSGsaG/E4c0/6x9N9CVwPb13mN0Jsqtv6aCts7EdKGLvT3XgAinyUgAJlRmK6cpayBwh0QelVoNNc3+OKcJCIclnZ6ssmk4lAEKp0lVvlJDRiMdRyVB5RpZOE2ZimzhNMnIlSqYGw2irHGaCBncxGkqVEzU8IVzwhhK5ZCpyDZOUzggIFuuIldSCdVRkUe5ppg4TS2hAOKSgIspUM5qIGCiNkclAWW5hoqs6NRrQsyulzBOSM3Zkvp6PqcFLyTwUDjonCbSNzJqkHhB4zSp/kQkAaP5EmI6p8lMvTa2pVECN2lLulDRqe6RgIBwUDS1LxGTUCyUkZXNhPNCoYxMdZwIH5VEhDkFQcOY8qKbu9G7SRwzpSoikqiOQY3TRMYQWeEwkrFjIZXTlC5UEJYEhEVB5TRR6OFGf6zE9LDAoVhTTLas91umqNqQBF7lNIVEtIQCyJUqADjdpnE8Wce60xidiW94TTdtvVG/Z2raZNQ5096e++iXfsH2NHmIEcEnSWJNwVyRMxGACZXZSkFeRCFw0244GiV6QT03NoXMfPFFFNsL2u1phr+sF84JIyhXcbklXxA1LKTVR6OTUwaeE1l7fjxkOpojlcpgEYVuDtRPGHciNbt/aNrbs3jRXFvaRP+ip7fFHAdr+wCVCG4lnFcLJXTN9zem/PpjPTNPjaM9DksWm2PrRMZ2ii0tjjS/rWPK6X5rb4+hc57RBv2YIEAd68ZVpakg1DdL001bZ5p9uvf6K/Q/2OuVFBBwrsEJl1ExSUSg1pyzH6dLbNLUgGo8hxI4HDqZRqZYQWskgJgoYPBMBgLHmUjY2VQOI9kSQpIITqOAZ85moXBAuTq+WlRNF5EpVnAuX0EsqK4WEDK2ogDZkrbyERCQOZtFwWAjJgk4PpxFVYF6LllJRjwsopjKQQGQKct6+dEzWYzmy4iFVPq2UuPw9olziIVU0nKmVEVGI4LHw2rd5ZoMHjx+e2IErZEgytUasqUqopKAzHAWI7kyoiERUVFAucbh1NCY7gMAgAMiooAzJ8eQK8mIaXRungdKowUUyrJOf47xHH57Lo90saqTmmMWUvNYvoxzsoLMcFaNdUFdiQsHVH8EjkO2LCNbrCARC2L4VBrpoupvOCAgzPN4O5VDuaagUFZX5+JhEbGAYCNP0wjcMjgcT+WQr8jIFKpoCYkIijxSp9OoKUC+VMWciIQgz+PwybR+ZmBMEhCEmW4+WigjKokYPpVGUOBRkmsYK1TRGhaRPpvFuXxZPceupgAcIHIczpxUSe/RoIBQQIDE8zg1WlD7Xuv/1rCd1t4i2ongFXAYPJOBXFNQU9Q9X7GQarsk11AoVzE3GkSxouDYmyOIBtWVJp5XV5pOvj2CeDiIfEUGtFXIo2+O6LHmOWC0UEZLSNL9jofVcZzXaO2tEZUobvziJ/EZK5QRkUSkTmcg8uPnNRKNE+XVeyE9nAUUYK5GDR9xIIKP5csYzpXAw3y/VtNF0+S1BNKHqt9tEcn2oUmI6ccNJwRciJOYZsShQrnfmJqjbU83/vZcs3Q+rFixSVOdKnEcirKC+59SCdGE6Lz7xRP46w+8E/f/wE6avm9NN/7sy7/EOy9qwW39nYhKAnY+ZyYjW6nH1y6bhzs/eDke+IGden37+5fitn8xEMG7Erj/+iuw49lDOuE4IgnYdcvVeIxCi97Q14mP7foV3n1pG7Z9uAe5YhWP/vQ3uHdND+7ZYyeCb1vXiy/vfQMfe1+njRhOCMyZYhWSyGPnz8zgyIFkAhv634EnfvkWbrzmUr19q5fNw+YPXo47v/eKzhpy8tlIah4aLWD7MwfxVx+4DPftedWRmH7HN1/GQzdciS/89IjN38+u7cFItoh/fI7u68Zvqj5aCdwA8IHLO/CZDy3D1qfMtgeSCdy+aqkOxlQp33Z6+ta1PSilcrh7z6sm3o6xPLHVl2zHljXdeOTHh/GnVy12pcTPa5Gw/ZlDJsL1QFcCt/V34vYnXtLbYySCD40WsOXpg/gIhZrdn2zHbf1LoEDB3/7bb2wx3NDXiSdffBt/88F34rNPv4YbKXX0JduxaVUX2lskbHvGTIi3xpoQrYOgE6+JzQefPYTPfrgHQQDHUzl8hkKw33J9N14/ncWX/uMNfOSaxVQi+KbVXZgTCWDL0/b7dcf6XixujzrWv319L8g6rBud20z8Or/VDEr50GgBmx1OW6Bv52dimnqxPU11qMpzeGusaCJKE3qzGxXZSJoeSLbjQ70LcPeTr9ryWWnPfqjQRhtGwrHf8gPJBD774W4EeM527Iux7m3renCP5SgRoh3re8AB+MGBk9TrA8l2LDdQz53a50UEf+iGK/GZfz2AW373Hfjq88ccydF/2LsA8+Mhx/5w6wPiK4mjNdYbVyfxyvFzrtRqwJl+PZBsV8nxHv1vbPeGvk6cThddKfFrehfgtxZKvGovgeWL5+jpZvr2y1i+eI6jr4Ss7WTzVgvZ3mmsOftmjvXKrgQeWteDzZYJpTU++0+M4sF1PbjTYbwSuv1yF78Gkgl8qPci6hjoT7bj4RuuxJ279zuOxb/7099BSOSx0XLkC9HKrgQeWdftuIeskbSJlp+stLF82TUOj964Qt+D5lSnWx0DXQnsNFDsJ6Mtk1Hn+bSnqVma6StNjAjeZGUqNRtR2g8V2Uia3qsRvWmy0p79EriJDWOa3/J7B4dRqtaQLcuu/hcqNcfr8+MhdMRDjtf3WqjnTv55EZwzxapKXo8HXcnRqj/O/eHWB3stcbTGesWiOZ7Uard27B1MocNH/xORseNFie+gUOJVe8OmdDN9e9jVV2+bZrJ9/b6lbL6ly7Ij8ZrYIvm86Pbu/TDsOAb2DaaQLlZdx+K5nBZDFzp3ujK79274lVcc/FDK3erYy0jnTDNI7PFcHcoUqyjL5j8d/FKR6yVzN0Iz9ktMtl7PFLxpzG5EcD/EZz/0c7/0bT8E6olQqt3o5o1Sphu1DajtnYhd6zUjfXsilHgr2b4ZvqU9iNZ+qPsTJYJ71Q+o1PmAYN8jZpQXvft8kVefZYoVzIm6f9X4qYOJaSaITZrqUEtIREk2f9D6pSLXS+ZuhGbsl5hsve5F+/bK44f47Id+7pe+7YdAPRFKtRvdvFHKdKO2AbW9+XLjdq3XjNToiVDirWT7ZvgW9yBa+6HuT5QI7lU/oFLnA4LXeL0wPl69+kwdb+5/lvmrg2ki2rq28bfnmqWYJAKz/O059niuDrUEeORKsglEaKQi+yFND2hEb5qstGen+qx0ZGLDmOaXKj2QTKiTDElw9T8c4B2vn04XcSZddLRnpDO7tc+L4NwSErGyK4Ez6ZInMd2NUu3WBwOWOFpjrVK43anVbu0YSLbjjI/+JyJjx4sSf4ZCiVftJUzpRvr2yq6Eq6/eNkv6uHMba86+tdt8i0uCJ4Wc5HMaj4Ru794PCcd+6E+2Ix4SXe+Htuh4DGla2ZVAPHBhfLx6xcEPpdytjgFGOm+K5og82qb532zHDQBs0lSXxJqCS+JBE1GaEJ13v3hCJ28bRd7m2bx7v/oGUH8nls6LutKTAZVEfd+abirNeOOqLjMRvCuBrWt7cNBAON617xiV0txnsDPQpVLAT40W8NmnX3WkmG9b34sv7z1K9YcQmBfOCWPjqqTd32TCRGcmfh/U2mclYW+ikNDJG0uXtEXw0A1X4smX3sZ913e7EtM3795PpUH3Jdtx/9oeJOfFHH0lPloJ3ABw+GQaW9faqfADyfF+cSKW92u2+5MJ2xeEsbzRV0KQ96LEv2dJu6n/if+3DZjbY6RvP3TDlTh8Mu1IeidkbVoMN/R14l9ffBsPrOtxJG+Tt+eu6pxr980Sa0K0DqLmSiF//WQaD99wJUKoYcd6+ni9qnMuNl3b5di2ga4ENl3bhXe/Yy61/I71vbi4LeJY//b1vTpM0o3OHfB86H1+yCsOfrADpA6n0xYuRIQD08wUe3uuARFOU06jfbeGA4gFBBTkmonT1BIKICIJJk4TME6kNnKaWiMSMsUKRvMq4TcWFFGWazqnifBzogEBck3ROU0toQBaJAE1RTFxmlrCIloCgonT1BISEeB5C6dJwbliBdGgSlrOlKrIGCjUMUlAqSZDAK+1VUJZriFXqiIsCQiKPEZyZUSCKueoXFNUH8oyWkKiTjCPGMjhhPXD8UBLMKBRzzV7AlDleaQNPrRIAi4xgBHH8mWczRYh8rzOaYoEVYo2x0HnNBH6eUWuIV2sjpO2eQ5VYNzX0jinqWQhT9MI3KVCGUVwKqepWEUsKI7T3mtAvixjTiSAIM8hozGoxjlNCjoMdPNRjUPEc9A5TemCSnEPCryJ00TaVqzWkC2qbQ4HBAR4DgGBN3GaCAvJSGtvETnb21ynUllkZcXEaYpq7dE5TZEgilVCpjdzmrLFCuJhSeU0AfpYDWuxNnKaShrfi/DG8hVZ9y0RUydyVuI1oZwLPAfBwGki+cY5Ter4Dgd4KAZO05lMETQieDgsUTlNbVHJtEF8KJVDuizrxPq2qASxUjG9KUWI6cYTAow+GjXT3vBqZppTHOqp81Qqi5zlfvN6864ZaZNR50x7e67Z/pyPYkTwSRJfUxDhFCw20L5TqQwuppCs29ujuNTwhU+oxbZ8FCL04g6HG5tC/25P0G3b0+y2Fy0aJziTD3srETyVyqBzEY2sHcM7Eua0JQtbqX4vWtBqS2u3MFxSqQzmt0VwsSXNKEKopsaRSku3k8wvcvjQvNgSWxqBO1UoYTHNNsXOxRQiPGmD9xdKDJ0UHztplPk5tL62p1kVgIIkddza2/dOChH8HZdQxsQCc75L9XS73++k0MMB7/gQGYnyNL+dvnCt1HG9vOWNuiBqWGbz27wp2Yk8f6GpGXEIQKHeb0xMM0Vs0tSgihyPQyfTKrU6EkA0IODc2TSCvKCfNxcPBZDXqNy5soy0RprOpXIoyjICHI+SLCMkCCikcsiUZZQqFbRHQ8haqNy1moLhXAlzoxrhWqNgh0QBPMdh9EwaQUFQVzY0knYhlQMHIG1YEcumcsiXq8iXZMyNSijLCo4eG1GJ2pIAieNQIlTvsoyWoLpCxnNAIZVDripjLF9FPCwgGhBxhsRA87OicDh7Mq0Sw8mKEgdEAwLeHM4iVx5fCZEEHieOjyAkieA5DgGeQ5Dn8bqhfeGAgCDP40Qqh5xG4I6FBJ2iTVY/eO0sNJIWC6qrDjWYCeVBkQcHDmdPpXWatySqq2/R4DiFOyKpeUuySsKOhUQIHNAiCqiAt7UbUMdDRuvjiCSAq3GopYsoVGTkyuo5gLGQ6jeRKHAIWdrcEhShgMfZU2l1BUoUkDf0YfpsFiP5MsIB9TzCIMfjrbMqEb5YlVEsy2iPSkifzZpWnloCdrJ6ikL6Dmr09mxRRmskgPktQVTB4djZLMABRe3MvtZwAKXRAjLFir4SExB4HHszhVgogLaIumpzOl3EubKCN46NoFVbQSvJ6hmMJLY8x0HkOUR5Dic1ujmhtbeGRYj5MvJlGaOFih730mgBUUnAcFYlgsckAdV0EblSFYVyBfGQhGxZHd+x0Hj7oqKAoVQOJXJeY0ldFQ0GeGSHs6hpK1WtEcmRUE1Wwkh6lHd/k85LxhWzeFhE3NJXM0HNbvNME6ORM/kRmzQ1oDzH28jY1y6bh/vWdOMzTx7wRbh+YF0PvviT3+B/rOrC2WwRX/zpIN5M5fG1295jg0wSuOScqIQt37dTsDeuSkLgOShKGRu+qhKlI5KAx2++Cv/0Mzt5/Nb+TnDg8Pc/MZOeP3B5B+760DLc/9RrVAL0t15Qqd6ffeo1fPnmq01+OtkjZb/9wnF8YqDTRNcm1z715V/hvUvm4q4PXU5t36ZVXeA5Bbd8lU7bptl28kfdE5bEhq/+l82Pjz7+K6xYPEf/+V2L5+iUdgD4P39+FQJC2ERNd4vztnW9SJcquP/7r5l4R8Te7hdP4H/+/jtx1/cPmPzedfPV+PLeN/Dx93ViYVuISmHf0NeJj31L9Vcngj97CL88OoLHbnoXynKNSmffvr4HizWy+ubv7cfeQTt1m/QzobcPdCXwV9cmEQ9L+OzTr5lI+F95/iDVt4/v+i+8b8lcbLm+G/dY7gmncfKJ/iWIBdXHz49afaf0GyGsf+RLv9A5Pv3JdvzlyqW4eG7YdC+axuKvjuOuDy0zEfRJfDauTmJuTG3nX3/gMtxDIVQ/sK4HD3z3Ffzk0BmTfw/XQb82Kgsed3/n145k8pmgPDjcbYFPTqTNM00XAo18tFqb9rfnmqXpPMOO7WmqUyWex2YKibgRwvWdH1yGR350GBtXJ/GRL72Apzb24eEfHXbMT/JZRSjYADCkkZfdbDsRsf1QxF8+fg6bP7jM5qffslbitR+KNmnf0FiRmq/e2FtJ1EY/dj43SP0ZAP6fd19im9B62XGjf9Mo8qS+FYvb0J9sN9HnaTElPhLqNgAsbA3hGRc6+8N/vNw2YbLWa+2rB9f34tkDQ/qXip/+Bvz1FZFfsjyNmE6OrwGAH/5VP7Y9c8jVt18fP2ci6BttXNe7AN0Xt7rei7SyhH5dzz6e0+ki/pdlwmS083d/+jv2g5ynYa/Sxm++RIW6+mnzdPldV/smgUY+0/Y0zQQieLM0WWRxRgSfBGUcSMSNEK5Fgce+wRSi2gG2osC75if5rCIU7PkG8rIXlZpGQ/ZDEX9e87uethrLWsnQfijapH1O+eqNvZVEbfTD6ecVi+ZQqekToX/TqOXGOFnp827+dhjiM9+Dzj5WqFAnTMZ6rX1lpbD76e96+8UvWd4oI22fSAHn6ZuVoG+00REPed6LtLJ+6ddGncuVPcnj0y2VHk/3sZE2zzQxGjlTPWKP5+qUEym4IcJ1wUy4dqNuG/P5sT9RorhbGZqffss2Ytcrz0Ta4pRG+5nW9xOhTtP60xineqjmfmJI5EVXpvVVM8aXV7lGx4E1Tl73kRcxvFSt+a7DqnrJ1WkParjX9anQ+U7rPt/bx9RcsUlTnXIiBTdEuA6bCddeZG43yrUbxdpP/nrK0Pz0W7YRu155JtIWpzTaz7S+nwh1mtafxjjVQzX3E0MiL7oyra+aMb68yjU6Dqxx8rqPvIjhQZH3XYdV9ZKr4x7UcK/rU6HzndZ9vrePqblij+fqVIsDibgRwnVVrqE/2Y5cSf1rkvzulD9Xoq88EAr2aQN52YtKTSNi+6GQ9xn89ttWY1krGdpI0XazTdpGs+M3jchKojb64fTzyydGqdT0idC/aRR5Y5xypaovKryRuv3yiVGc9qCzt4YDntRta19ZKex++rvee8IvWd4oI22fiIPiGTcrQd9o40y66Hkv0sr6pV8b1RaVPMnj061ETLJBJ4kaafNME6ORM9UjNmmqU8FaDdsp5OxDQ2PYZiEIuxGuH1jXi6/sO4ot13dD4NQ3d+544iU8sK7HVjd5E2tei0QlQm9c1YVkRwxL58V0wvKufcewcVWSTh7v78SC1rDty0mlXfc4EqAJ+fmOJ16i0rxp9kjZw0NpbKIQrwkl/ODQGLZcbydtk7fnkh0xR9q2btsQG1oaoL2FtdrZD+PPRkr7rn3HMJov2KjpbnF+YF0v3rOk3dafxMb3Xjxha/OufcewaVUXDg+lUa4o2LrWTpm3+qsSwVXq9q59x1R6uAOdffv6XiycE6bSl639bCSJd82P4b7rx31xop4bfTs0NIbtlHuC1i+ELJ/siGHTqi46Cd/Sb+Ttuc2795vSUpky9T7Sx6I2zmmU8o2rVYL5V58/hh3re6mE6u3re/H6ybS5bB30a6Pmx0O2GJF27NDI49Ot1oiEHeu67RT7Bts808Ro5Ez1aMa8PffJT34Sc+fOxUMPPUS9vnbtWrz++uumtKeffhqXXXZZXXaa9UZDieeRMZKsJQHlmgzJwGki6YTTRNKikmDiNAUFleps5jSZ66jVFKTyJbRFgigbCNchUYDAAbJS0zlNRpK2ldMUCggWTpOBlq1zmhSdk0MYSBwHREQBuaqMdL6KFo3TlLXYqygKSpWaidMEDogFBFQVxcZpGitUEAqoxGeR51SKdkVGujBOvA7xHGTAxGmKSCKKFdnGaSrLNT0tEuBRg0roJpT0kMiDA1SiekHlJgUNnCZJo3CHpXEqdlarT+Q5tIg8KoCt3QBMsY9KAlBTEA6KNk4Tz6nHl3IY5zRlDW1u0Tb85yuyjdMUDwcQFHiM5MsIBQREJQFBjkO5poxzmioy2iMSFK0O0vZ4QMBCC1n9dLqINCF9a/0cEtUxki3JaA0FMD8eRLFQRr6mXi9U1Bi3hkW0hAI6p6klpMZvJFdCLDhO1yYMoozGIDJymvLlKqKSqBO/ozxQEwR1/BkYUxfFQzqnicS4NRzQOU2ZokoOb41IyJWqKJYraAlJyBriTtoXE9X7wshpioVEhAI8eMDEaXIiVIvhoG63JaRSxq209Xre5qoGAuOcppCIuGTuq0bqbHZao22ebr/9EsGbTSOfaW/PHT45dt4gByKSgHIDbwJ6oQpmDRH8mWeewX/8x39g/fr11OuyLOPNN9/EN77xDbzjHe/Q09vapo/AG1JquMRCBF9EIULTqdz+SN1WKveliDmSp9vbnW1fTEkz5qORnq1Ub6eyi2h0akuank6hlncuthOlF15Ea4u97KW0fJTYdFLaYi07bsdM4U6lMlhGiQ+t3ZfQYmFZKXBqy8WUtiyuw8cFNEo8xY5R4wRne/sutdDbq4USOmk25oQBhE1pS95hHrfz4yGIlQqWLbDbsdLDnSjxKsEbWKBdM+Yzve5OifflNBs+v9idCNVWojiNtl6P5lNOBJhpanabZ5rOdxr5tqcPnjfIgUbVDFTBtE+aRkdH8cgjj6C3t9cxz9tvv41KpYIrr7wSwWDQMd9USeY5FBSo5OuiSnGOBUWkTqehKOpfqlntL+9CKoe8LGM0q64ShCUBp94eQTwcRNZA786ncijVZCgKEBIEnQjeqpUZzhTREg4gIgo4rNGjY9p5a6JGlDauugCqfzwPSLy6AlMDxunfAQEizyFfUXD0zRHEtFUhQQCCgoCzp9L6cggHtU1Hj42ghZxpViwhFgqOk7EjAbQEBMjgMXw6DYmcC6eR0cOSgLfeTCEcVFcHeAC5ioLhU2n1fDwDATx7NouithJBztwj+aCoqwXxgICh0QLGNEJ0XFt1yKey4MEhrZ09l4gFbWTscEDAyJk0agp0P3Ml9by3gkYeNxLJi6kc8lUZsmKJRUhdjVIAlA3kcOP5ftlUFiM5dRUrLArIVRS9bFDkdfp4+mxWX9WKhcZp62SFkKyiBQTeRDgnfZ0+m0W5qvZxTjvfLZvKYjSvrQoERaSrClKnM6jVFGRL43ZMhPmAgACvktXTxSqikrqaJRgJ+OEAYiER+aqCsyfVfsmV1NXKcEDQieXxUAAdLUH9i5asOOXLVSRiQeTKCt44po7xgMDjXE6NWfFcHtlyFdlCFW0RCeWagrfeGkEsFECA5/Tz+FKnMsiUKohK6scYzwOZ4SzGChXEQirRWQaHt1I57XxDtY0RSYCcLiJTrHrSnyvgMHgmYzoDMh4SdRJ6plhFu0bWP378nF4XafNYvozRfAW5chW5sozWkEo3B6DTtVuCKsk8XahgtFBBVDu3T8yXm/poyEi8bg0HEAuKyNc4jJ3JolBV6etztDMKjSLkeFr7muXPZBK4m0ky94qF0VZUEtAS4CGeL8s7TABmwKTp4Ycfxoc//GGcOXPGMc/g4CAWLFgwIyZMRY7D0FgJOymU7/vWdOPhH5kpw4T+/f9+9xWcOFegksNJvh3relHjFCoR/P7ru8FxwGeePOBJvSZ7N775wlv42HvfgWhQwKM/PeKr3JY13Xjw3w7hhncvwjdfeAs3XXOpib5N/Nm2rhcP/vAQfvjqaUQkAf+/P3s3xLYQ/u7fXsdff+CduPf7r9rK3LemG3/25V/i8ovi2LR6KfKVGh7fe9Tmw2fXduPzPzqMnxjiaG3TqCRQ+2Dr2h6M5gr4yydext/9yXJU5aKdLp1M4P61V4DngPu+/yr2aYTrnTetwFf2HTPVuXrZPNx93eV4+IeH8RFLLLzi/7Fdv8K7L23DX6xcglgwgLsNfWfMZ6SP37V7Px664Uqbna/cchUUBdS2fGKgE6GAPR4DXQn8+cASjOQq+Pov3zT1pVN7B5IJ3L5qKW77l3GyPI1qf+2yebjzg5fjgWfs9PhNq7pQqsr42ONq+x+54UqUNer166cyeOIT78VnnCjnu36Fdy9uw20DnVAU2Kj1q5fNw+YPXm4bX8bxcdM1l+LGf34Bv7u0HXd96HJ89qkDrm0E6PTnodECtjx90NbvZKwRsv4/WHxc2ZXAQzdcCQUcTpzK4NHnjpj6Uo3nIPYODo/3w9MH7ST81V24dG5EX12biIzE64gk4LGb3oWIxKOmwE6ON5C+h0YL2Lx7v4ljRNo3kU/jqSJwN5Nk7hUL2vWBrgS2f7gb4ZmxC4apCZrWPU2/+MUvsGXLFjz99NPYunUrAFD3NH3pS1/C7t278Y53vAOvvvoqOjs7ceedd+LKK6+s2+ZEnjNXeQ7/dzCFZw6cNE14iJxIwYT+vXbn865E5G9/8hpHAjSNLu2HyrywNYQfHjhp+nDyIpVv0EjVhAztlu+2f/lvbFyd1OnVNMo1rcyO9T02v4z5aHE0tulZlz7YuDqJXEnGmXTRhS6dwHW9F+nx3Lg6iV8fP2er00jorodubSR2P/hHvXh2/xC1rVaytxMl3I3y/eD6HscxOdCVwId6LsLQWNHkq1N7rT45tdGr7YRQbm3/4zdf5Tg+jHYHkgl8qPeihqn1fijzVjq9kf6sUrBfxvLFc+om6wPql+ntq5ba7mer/179sObKhbiu56K6KOPWNCvxmownAI5jamVXAp//k+X4m+++QgU/ruxK4JF13Q3taZosAvdESOZedbr5vLIrgYfW9WDznlcd2/TIuu4JrzgxIvjE5fV4bkYTwUulEu6//35s2bIFoZD7GyLHjh3D2NgY/uRP/gRf+tKXsHTpUtx88804efJk3XbJZtBG/mUqNXTEQ9QPOMCZFEzo34A7EdmNAE2jS/uhMs+Ph2wfGl6kckKq9pOP1Ed8p1GuaWVofhnz0eJobJNbH0SDIjriQQ+69LApnoQSbZWRjt0IBR0AOlqCjm21k73plHA3yrfbmNx7ZFinqRvLO7XX6pNTG73a3mGg0xvb7zY+jHb3Dg5PiFrvhzJvHWNG+rNKwR5uiKwPqKRs2v1cbz90tARNRGqO8mTJK81KvCbjyW1M/fzIMM7lnEnZPz8yjHTFvqGW5ouXP0bRCNyNtFm3UwfJ3K1ON59/fmQY6bLs2qZMpTah7x6nuDLVr4nGeNoez+3cuRM9PT0YGBjwzPvAAw+gWCwiFlP/qtm6dSteeuklfP/738df/uVf1mWX9leQX504fq5hEjIhDNdLiHarezKozEY/6slHfvZqg9+6G/W9URte9iZCHa/HDzdKuJ/yfq9P1PdGYztRynmzYu6Uh9CfCSV6sojvfsqT60Yi9dy59s8vrzQr8dovPd6LRk4ebXr54uWPVVYCdyNtbrYdr7r8xOqyi6bvxSUA2HZDb1Pf5puNiocCaI9NbJvPtE2annnmGQwPD2PFihUAgHJZnfX/+Mc/xssvv2zKK4qiPmECAI7jsGTJEpw+fbpuu6lU44/nopLQMAmZEIbrJUS71T0ZVGajH/XkIz97tcFv3Y36brSRL/u34WVvItTxetrqRgn3U97v9Yn6Xo9Nr/b5KVev3Ubp4oT+TCjRk0V891OeXDcSqUdGMrYvd680K/HaLz3ei0Yekezto/ni5Y9VVgJ3I21uth2vuvzEanh4Ym8bJhKN/8EPAC1QcIHPmaAUyxguOp8l6CfG0/Z47utf/zqefvpp7NmzB3v27MHq1auxevVq7Nmzx5b3Yx/7GHbu3Kn/XqvV8Prrr2PJkiV121WUxv+1BHicyZjJyEY5kYIJ/Rtwp267EaAHKORjP1Tm0+miDSToRSo/ky6ZyNBu+Uh9xHca5ZpWhuaXMR8tjuY2uZHTqziTLnnQpRMmWvfLJ0apdRrp0fVQx41E7TOZkiNR2U72LlHtuFG+z7jEY6ArodPUjeWd2mv1yamNXgT3MwY6vfGecRsfRrsDycSEqPV+KPPWMWakPxNKdCNkfUDd55IryZ5jxqsfzmRKJiI17Q8+rzQr8ZqMJ7cxtbIrgbaoMyl7ZVcC8YD968PpD1I3f4yiEbgbaTOxUw/J3K1ON59XdiUQlwTXNrUE+Al99zRjhWii9i+Ef340bZOmiy++GJdeeqn+LxqNIhqN4tJLL4Usyzh79qy++rR69Wp89atfxU9/+lMcPXoUn/vc55DJZBy5TpMlsaagf8lcbHSgfG+5vttGGSZk6DueeAkAnRxO8i1sDWObAxF8y/XduLqzzRf1mrxJdHBoDAtaw9h0bdJGnXYqt+X6bux+8YRefkNfp+2DtT/Zjm3re7H7xRN6fYRevfvFEzZauLENm3fvx0AygeS8GG4b6KT6sHVtNw4PpW3pxjY59cHWtT0QOQ6bd+/HwjlhOl06mcDWtd24qnOumXDdb/fn4NAYtq7tweGTaVssvCjou/Ydw0BXAovawtiy5grXfGST/Obd+6nE86Xzoo5tWTiHHg/y9tyC1rBO+e7zaO9AMoGNBnK7E9X+0NAY7lvTTaXHb1rVhYVzwnr7V102Tx/zm3fvp44PU8ySCdw2QKfWH3Sxaxyzu/Yd08nfXm0E7PRnQomm9TvgTtZfqb2dtag1iE2ru2xjZtPqLn0sOPUDeXtu1WXzJvx6v5V4TajxS+dF6eR4zf/58RAeuuFK22SAtC/Q4LrFVBG4m0kyJz47xSKIGvX6QFcCOz7cw7AD55FmDBH8rrvuAqC+Pff222/j2muvxde+9jVcc801UBQF//t//2/8n//zfzA8PIzly5djy5YtddPAgeZQWgmnqVip6ZymaFBEqSqbOE2xkIgWSVA5TTmVlxORVMZRPBS0Ub+LNRlQCKdp/FpEEpDKFhENBRAVBWQ1MnYkKCCq8ZZyFjq2AqhMIx4IGjhNGUL/1jlN4+U4DhB4ldOUr8g2TlO2VEUsKCIqCcgWy4iFJJ10Hg8TThNQqMomTpOxDWHJyGlS90QoFr94wMxp0nwjbQIHtAYEKBpR3Ejh5qGAs3CaFMVAxg6JiEgCSrJM5TRFRUHnNBEieZDnbJwmEouwzmlSKdmxoIiAMM5pCgV4jOTKiARFlaiuxTsWHCeRW+njhJ+UtVDAK7UaRJ7XSdktYRECx0GBggDpYy1mLZrtsbzKLIoGRaQLZQAcZI3TFA0KiEki8hVZp8KHAyqd3pgWlQSIHGemzYdE5MtV1GqwcZoA4Fy+jBYDp8lIvR7nNI23T9I4TdGQiJagqHOa5kQkVGo1ldodFBEQxjlNFVlBplRBRFIZYxwPBAUe6UIF0aBKdC4VyiiAs3GaIpKITLHqSX8+lcoiKyuQa4oe23hIREwjoY9zmmoolGW9LtJmMRzUOU35sjr+LtI2jxO6djQoIB6WkC5UMFao6HGcS+EhTYR6bSRexwmnqVRFTYGN02R8K46Q4/OU9vmlbXv50wwC90RI5n7r9IoF4TQRQn0zOU0TfXuu2YTy81F+YjxjJk1TpWYNHI4zP/+cKtT/TDp64Hzye6b5M1t9nK1+zzR/ZquPs9Xvyahzph2jwiZN3po1x6jMNlV4HqWagtMGMnMkIGDkdBrVGlmFENAiiXjzbBayop4Jli/JaI2IyBuo0zFtNSNzNotCVT2zLSapK1ep04TULIKHuoGzJKsE76j216jEc+DA65TwlpCAqCSiUFEpym0RCSV5/Jy11Kk0JMG4qqHSqIvVGgrlqpZfJTUbz1CrcZyJHB2WBAQ0SnRGI3KrZ89xOHNyDDzHmVbcYpKA1Ok0RvMqIVxd7VFQOJdHpVpDulhBWzgAcLxOwo5r9qs1zkTBjgYEKOCROpNGSBCQM5DVC6kcqjUFhaoMDhwUQCV1a6tVoQCPokblJsTvAM9hOFtESAqgeC4PSeCRypeRK1YxNyrh7Km0TiyPBgWIMNCxIwFEAyrp+9ibKulbNBDBR89kEBR4fVVNEnikz2ZR08ZEoayuoBiJ5wERkHgBZzTiPDmvrqYoCInqWClqfUrakBvOQuDUFbZ0oYI5EbUtxYoa22hQhMRzel9nimqeiCjg9VMqyZ7jycqb2v/j8a8hynM60TtbGqdgG9ucLpQxJyJh+FQaea1dkqiugMny+HgsVtWxFw+LyAxnISsKRI7HaKGMqCSgPFpAsSKbKO6p02kE+PFx26rR28s1BYWyukoSD4sopnLIVqtI58fvy3Ma0TtfqqI1IiHKcxjLl5EpVGzlq+mir0NynSjTxvSY1DjVm0bLptUzWbRumj9Hz2ZRrSmoKWosW4Kir/ZNlY9M7hqt1s6bs+cakde5c37FJk11qsDxGBotmMjMEUnArpuvxmM/O2IjD9+/9grseFalhEckAV+8cYWNLkwjFPcn23FLXyc+9a2XkS/L1Dx9yXZsXJVERzyEj375BeTLsl7/y8dH8cUbV+Dv/v03jrYAeOZX6d892PaDgyZCN40c/fjNV+HxvUcdCcr3renG7U+8hOFsWSel/92PD+P2VV36obj3P/WqKa404vZAVwL/8wNdaItKNrL0QDKBTauXIluW8fg+e5zvWLUUt1JiuKA1hI89/itc2h7B1rXd+PN/+W989sPd+MJPfmOzffv77fFzpFtf2oZNq5MolmsIBtQvVhqF2Ui03rKmG1uffg0/pRDRv/3Ccdw20OkwDoL42OPmceA0RslY/NYLb+HGay7F7hdPOJLct63rRbam4L7v/FofJ1YKNqHJP/DMQRMRn4yTTd96GQ/dcCV1PN53/RX4238/hD+9ajFG8xVIYtkUH5rvj930LoQCPJVm/cCHu/G/vvMiTpwrYKArgY2rktjw1f/S4/WHvRfhzj9YhqGxArX89nU9WEw5LJfIiTK9fV0PPveDg/jJofHTDQgxuh76tBMt20rhnixaN80fJzK6V/umykcmb2196sI+e64Z584B7PFcXSrxPPYODtso016E7d/xoCsDdEKxNc0pz5reBeiIh9Q3hrT6/dgC4Cu/F6Hb2Da/FHHy+50fXIbP/+gw7v7Dy7HtmUO+4+pG2d6xvseRGO4Ww+6LW7F25/O6X4/86LBrHcb4udkZSCZwx+qlOHo2B8CZwkzK/Pr4Odd4kzj7GQdOsbT2lxfJfePqJD7ypRcaHidu9Q9ofyCcThfBAZ73lxchfaArgU//wTuxdufzev3LDX49fvNVOJ0uOpdPJvC3f7oc8+OhuijTTu030qfrpXdb6yEUbr/5nOz4TSN2li9yJqM7tW+qfGxG2mTUOdMez13oRHA/k6YZTQSfjcqUZSpl2ouc7UVXBuiEYmuaU56OeAgd8aCpfj+2/Ob3InQby/uliJPfRYHH3sEUFHB1xdWNsu1GDHeLIaG2E7+86vDbn3sHVTq0F4WZlPGKdz3jgIhGojbW50VyjwZFaj3WfE5+u9W/V7s+Px7ydX95EdL3HhnW+5LUb/SL2HKjxZ/L0VkubpRpp/bT6NNO8iRPaxRuv/kmKmLHrd+d2jdVPjIxTaXY47k6lC5UpowM7ZTmlCdblH0Rruup1891a9v8UsSJCCmd/N+vT41ec7peqtZMPtD8qceGNY+1f7zKNEood7Lj1N/k/5NNcvdTv1/6uJ84Wvuv3r5wIjx7kaEdTwTwKOe3/ozml998E5VfMjqtfVPlIxPTVIpNmupQPBxAtmS/0SeDDO2U5pQnFhJMBOx6bU2U0O23jVZKMiGlk//79anRa07XgyJv8oHmTz02rHms/eNVplFCuZMdp/4m/59skruf+p3iU+9YBez9V29fOBGevcjQjicCeJTzW3+L5pfffBOVXzI6rX1T5SMT01SKjdo61CIJOmXauFRNKL9O+zysdGWn/SxWQrE1zSkPIVsb6/dry09+L0K30bZXPUaqOSGlDyTbwUFBf7Ld9EjMrS5CmaY9KiHEcNo1txjOawna/PKqw0+MB5IJ5EpVnR7tVcYr3vWMAyJrmrW/CKmb9kiSUNad6jbmc/KbkM6d9jSdSZf0PU1+fF/YGnKuryuhE/hJ/Ua/jLR4pz1NbVH6212EMk177OTUfhp92kmEPP1zh31AhMLtN99EZSWjO+1porVvqnxk8qeta6+44N+eQxPenmOjtg4FazX0LU3YyMy79h3DplVdNsItIU8TSviufcdstGeSz0ooJpumSRotj/rWVBfes0QlLRvrJz/TCNKkHj/5ydtTh0+mHeshbdu4KulKUCZEcGO9X9l3FFuu78ZItoyta82kaCdy+UBXAu+cH8PnKPT0gWQCyY4YNvTT275pNT2G71uawB1PvKRTxe944iU6MbuLHj+jrETwTdcmUa4oWDov6khhNhKtt63vxSELWZ5cPzyUrmscGGO5adU42ZvkIaTw77mQ3Lev70VHS8h1nBCavJWIT8YJIZ3T+uS+67vxvRdPYEFrWKWbW+JD831Bqz0f6Z8HPtyjE/gHuhLYaOnzf33pbfzu0oRj+e3rexyxA26U6R3re/G65T4hxGi/r9i70bKNFG4vQnWjtG4nf5zua7f2TZWPTP40R+TRdgH/awZuAGBvzzUkwmnKG8jM0YCAYlVGtTZOR44HRVRryjinSWPB6GRojTodCQjgABQ0MnVEEhALiihW5XFOE6cyfspyzURvDvIcOABprb6YzmmSkS+pROWSgVYtcEBAqydbrCIaEhEUeAunqYZ0YZzkzdUUyBxQrtZ0UnZEEhCwUKLjkoCKoqBQkamcpkJVxmh+nN5dlGVEAiIqhBsUDgAcp5OiCSm9aoy1VpcCoCDLOqdJJ1Vr+Y2cplxpPIYhUW2rkfgt8RyGc0UEAwHEQ+I4p6lUxVwD5yoSFBALChA14jghK0cDqg/ZktrWAK8xhzQ2kmThNAEwcZqsFHfCacqWZSqniYNKTM8YxoHIQec06YT2oIhipabRiUVIghoPwmlqjQR0AroCFdhqJbnHDJwmJSBaOE3auNLaTDhNhI4d1ThNFbmGqqwgX9bGo8ZpagmrJHTCaRorlBGWBMSCgXFOk0bR5jmYOE3kPirXFJ2QHg+LiAUEndNE7suSbl9Ga1glQofD0jinyVB+TkQyTZjqpUxbidDz4yHThKIRercbhXuitO56/MnXALmm0tFVDpe/9k2Vj+ztOXcxuKW3GNxykhSo1SBxQOfCVj0tlcpg0fy4KV8qlUH7PNrNFaWk2fMtttRH0t950Vxb2rKLKLYp+eg3u/2132UXtdvzUWxcssCe9o4FrbDKMT5tEVvaYkqdxljr9XVQ6qPFdoE9DtYYXtIeNfkzT/viVPvQbudiio/LKHYm8iG8aAG9/93KX2xMo8SWVvYSSr9evoDS/9rbf8Y02li0xktPp8bHOPa0PrAwf5zbTLuP7GmLOuxlWyMOR5T4AFsCsJVPpTK2dGKnEQWgYGmH9wd4a0Q9euSyi9oaslOPP0son2V+2jdVPjIxTYXYSlMDqvA8ipa/UCWRB6eoq0WEthwSBWRLVeS0FZKgyEPiOVRrCqoGSng8rJ6dVYN6thlZUSqUq5gb1c7oKlTQElb/8ldqCirG1SvtL/1z+bL+1z0PIMBzqNQU5DQ/22IigtoKBiFoRyQBqVwJQVFd8RJ4Dlnt3Lb2aFBfdYqHAghLAlKZIiKhACIBAYWKjFxpfPUgr61AgNNWMwpVtIQFxAKijbwcCQio1RSk8uq5bFFttS2rrdhEg2pMwAEx7TyzjMHvqCQgV6kiU5TRotG+yUoJz6urVdmievZcWa6Nk8w1AnhFUfRVGEIoh6KoY4PjUJTN5+eR9o/lS2gJSaa4RLQ+kckZXmRMCGqfhCV1pSQo8ihV1ZXCqGSON+nfiCSgWpMR5tVz/KyrTTwHiDyPVK6snaEmIMRxKCoKChXD2XXaaiNpdywooijLQE0dZ4SOHeQ55KqETq/aALRTv6EgKAqoyDXwvHomYllWTOMWGI87tDFsvC+CIo9yVTv30NAHVaUGRVHHuhrj8ZiQ/UTncmW9L43jNVMsIxoMqLHU6gxpK4aFag2jhQqiGlU/DAXBsGSid8d4IBSWcCZTwlihoo81jlM3NBtBjWTFx0jmtp6PRlZScmXZRLyezNUQK3m8w3CeXbpYQUtQQEtYQrZYNVDLzathxrLGyY+fNjfqdyNtsfrYSLzH8mWkcmWVaF5TVz1bI5KJTj7R/iKrjyRuER5NPaiXrTRNvthK0ySowPH47SidJEzIwwCdFD2QTGDTtV1ojwWw5anXbNduG+hEOMBj53ODOHQqgyc+8V4b8ZoQurdbyMsmCvXiNmxcnQQH9Ytvw1f/G+1RCV+77T24i1LffWu6sembL+GfPvou3PPkqwbq8xFq3j/78i+x7KIW3NrfCQ4c/u7ff4OXj4/isZveBVlR8OhPVXJzIibhW598L044xGvr9d3IlWR89HGVnH3H++207r8YWAqxLWwihRt9+R/f+BWGs2X0JdvxlyuXYtHcMD7z5AG9DV/4qbkNfcl2fHZtDx561kw470+2Y8e6HlQU4O9+fAj/8/fpdOwH1vXggR+YY/+BZR2467pluN/Sp6RPPvW42idGGrkTRZ7sqaoqwN17Dpg2Zhup4Tddcyk+rvX1/Wu79fY4UeevXTYPd37wcnzuB6/Z2mQkz1ttfPOFt/AXK5dgbiyIt2n9mEzgz1cuwSVtIZxOl2wk76/ccjV2PmduY1+yHZtWdaG9RbKR5vuS7di0ugtBAZgTDdrG/7XL5uHeNVfgvj2v2urcuCqJYqWGO775kt6Wz67twUPfeQU/OXxG92nXLVfjsSft5Tf0deJbLxzGluu7cWl71JHMvX1dN8g63HQQr6029TY9N4i9g8OGMXDQFLsPXN6BLWuuwD17XqX6u3BO2Febp7ItRh8evuFKKEDd8R4aLWDL91/FR96zuG6iuV85UuI/3I0wm6mcV2IrTXWoxPP4+eCwC0lYJQ8DzqTogWQCH+q9CHc/+arrtcdvvsqV0OxF6B5ItuNDvQsAAENjRfx/rpiPh3902LG++9d2Y6v2pe9FfSZUb2Lj7idf1SnNPzxwUv/A9UNevmP1UuwbTGHnc4NUWve3P3kNHn1u0NMXa95GyNWkvBcd21rWL+mdRlB3GkfX9S7AZyhjhEYF90Odr4dGb7WxsDVEJXXr/napx9NY+2nj6iR+ffycI1V9Te8C/HasSB3H91II8X7a8Ye9CzBkqNPaX37i8Ovj5/DwDVfirn89QH1LbqArgZ03rlDrm0LiNaCuAn16z2smm06093pit7Irgc//yXL8zXdfcW1zI/uznNL9tMUo9RSAk6bJlNF/WryJDT9E80ZX09wo8QOaX81YcZroStPgqbEL+u05mqzn0bGVpiYrU5Y9SMIp3NLXCQC2L4LxPMO4pe8dnte8CM0bNDtGPT+Ywq1autGX+Rrt2q2+qqyY6OBO/u8bTGHzh5bZbIzTr8dtEPq3G3n5zg+9Uy9r9J8oGhRd/Sa+WPN6tYEWP1L+rg8tqyv2braMbTL+7FbGGFen+nZqkzurT071+vXRyQZJp/p7ZBh3fvCdVJK3l80Oyh6i5wfphHi/dRr3XVn7y0/5nc8NIl2sOtKs9xoI2F7E64uoVxtXulKz2bS2qZEx8PMjKgXdq83NPGjXT1uMUk8BqC/exMYtv/sO17YPZ8uY444Sc5QbJX7vkWFkKjW0CVxjlTdRF/rZczQ1ch4dmzTVISciuFH1kqKdrnkRlP3Qk40/exGujdfroXq7Ear9kJe9SOZ+SdVOfjnJyV8/NidCU58IHd6tDr8kcb/2/PpJRIvZRNroNF4nStX3W96L4J0pVjxfmJ8M4jWtTr/jsVEK+rhtf1Rzv/LTFr/XnOojaX6I5nOijX0d+iGft0X9wU2ZZr7YpKkOORHBjaqXFO10zYug7EWMtv7sRbg2Xq+H6u1GqPZDXvYimfslVTv55SQnf/3YnAhNfSJ0eLc6/JLE/drz6ycRLWYTaaPTeJ0oVd9veS+Ctx/C92QQr2l1+h2PXm13oqCP227uF7+ftvi95lQfSfNHNG/s2RUjn19YYnDLOmQkgtNEyMOEnkvPk9DJzbRrhBpNCM00+SF0DyTbcTpdxOl0ES+fGEVVrrnWJwqcft3NfyPVm9ggZVQS9zjIzkhedmpvrlQ10bWt7cqVqq5+GwnjxrxebaDFj5SvN/aE4k2TlR5uJajTNGCgezvVZ6yLRp23yq+PNBun00X3fuxS+9F6/eUToxhwsXlGG5u0a4QQX287TlvqtPaXW9yNRPZ4SLRBGYkGNAI2IV7TNFnE63iAt9m0tqmRMbCyS6Wge7W5mfLTFqPOZEp1x5vYcKu3HmI7TYQST9NAVwItjHx+Xon1Zh0iRHAnkjAhD7uRvzddq5KbaWTk2wY6sXReFAPJBDbv3u9IaN62rtdGXjZRqJOqL8l5MSydF8OufcdwxxMv4QEKQZuQuu/4xks6kduNDk6o3v3Jdmzo78SC1jD6tDILWsPYdG1S/wDZvHs/ruqc6xivrWu7Uakq4+RsCq27XFGwda2z34Qw3pdsR6WqYJvWRjdy9da1PTg8lLbVtzAexta1Pdj94glsuZ4e+wcosT88lMbWtT2OlG/SJ5ssBHUj5dpo4/61PehbmnAkjR/UKN6kXmN7nMbeoaEx3Lemm9qnRvK81cbBoTEsnRdz7sdkAn8+sAQdLUEqyXvjajspn7w9d3XnXFs/kLfniuUqdbweGhrDA+t6bHEjVPQFrWFTW7au7THR7HftO4ZNDj4RQvr29b24uC3iSObesa5H5zFNNfE6AMVm09ompzFw+GQaO9b3Ovo7Px7ybPNUt8Xow6rL5tUdb2Lj9QaI5n7lSon/cE9TsQNM0y/29lwD8sNpao0EEDZwmmIhlX5s4zQR4jE8OE0GQrMbpykSVNk4HADJyGkqy2iLjnOadJKxxmmSNE6T6MBpInTwVLaIsKSWs3GaylW0R1w4TRaCOuE0hSWV8u2H02SMQ65SRbY4TtQGBwQNnCbSBitFXbJwmkgc3DhNpP3pfAmxkJmaHrVymrQ+lQQeow6cpogkIGrkNBlsuHGaOI2MPZIrIyQJiPrgNEWCgkoHl2WgxqGmjNOxg4LKacoYyPPk9lAUjdNUq4HjgLAgoCIrpjaSPgr64TRp7Y64cJrCAQFzKZwmYz9li2VEDJwmI9m9UK1hrKDSuKOSiDA3zmnSx45A5zSBUx+10DhNRjK3E6dpsonXxnQaeRyAnhYNCohrnKZ6qeV+2tyo3420xepjI/EmnCYj0bw1PF52on1Do8RHhJnFafrol37BNoJbZN0Izt6em2wZ7ocAx6GqJUgCEBUFVGrasRcch2yxCiUoQAmosEAAiAfVyUKRAA81SCO0L65KTf0CikgCOE4BByBXkXXAIaAuFUqC+mVcU6B/scq1GgIBCbWKDFHgMC8moVitYSRbQiwoYF4siKDIo1ZTEAqIyBQqEHkOAV5AWOQhCUH96JJ4KIBggEcAQCQYQLpQgcBDBVQqwNlMCa2RADpiQeQqMnLFqvrFFxaRKVRRq0E96kPgENcmTFUoKMk1/RXYfEVGUODBcRpYUVEQ1GKVr8oIijzCIg9oX9TZsnoEyVztOI9cSYUzggNqWqU1Rd0AGhR5HSAa0CatPDf+NgsHrQwPEzBR4YCwyCMUC2IkVwbPAeGgiADPoVgF1ANs1MlrQFAnB7lSFfGQeoRJqCYj3BpGoSKjVJFRrNSgAAjw0I/JkayLvQoQ4HgoAKqGD1xFUSCJKpizWFMnigrULxYyQcuXxidXZVlGJCBA1iarKkwUSBfKiGtfNKipY0qpqUe0QBtLFaWGsDB+fE1Ri3Nem4TFQgLmtwRRqMgYK1QRCwpQBPUeyFZkDeaqTmTyFRmZYhXxkIi5EQmj+TJEnkM4oB6jo/a12j6O4yDwHPJlGWPFCtKFKlq1o1YQ5BGTtAl/qQaeryGmHQF0rlBBKCAgAAUtLUHwHIdsqQJwwGi1BqSLkBWgUlNQrdWQ53icSuXQEgpg0dyIDoCMSgIq1RpeOXEOsZAKTTTd6tqQqYLDW6kcCmW1bVHtKKT5iVBTV2OM0EcCcaSlR3nodk0TgHgIRgi/G7WcBphc2jH++n6qMP4Y3MnH1nAAIZ7HG2eyJp+9YuJEUffysTMRda17LF/GSFVB6nRG/UNBA7q2iByWUWj79cjeBxzaLZT44eHMjDpd797rL8wDewWOHKhlVyOH+LJJU52iwS3HgWxH8GYqj6/f9h78dqwAgKOC/QiE7xu/fBOfue5y/NmXX8BwViU8P37zVfinnw3agIf3renGF37yOv70qsUIBXjs/NmgDnD8+5/8xgYc3HL9FXgrlcNXnz+Gv/79d1JhgJtWdWFePIiPPf4C8mUZj930LkQkHjUFVIjhxtVJVOQa/vr//BoP3XClDRTXn2zHbf1LwHHAF37yG2q7K1UFwQBvi8tAMoHbVy3FbRa4JYnVEy+8hU+uXIJcScaX9x3V2/53/25pe1cCt7/fXE9/sh33X98NkQdOpQtoiwZxvwFc6RR3Yp/ngHy5poJDL20z1e/WZ9vX9+LMuRz+v/9xFDddcym+8vwxvK5BSx/64SH89QfoAM3t63pxMlPCP1Ji+KnVSXTEQ7j/GXM5I9x0xeI52LKmG/c/+xp+eXREHSOWOF27bB7uW9ONu580AzTJY89T6SK++NMjeNEyxiKSgJ03rcBX9h1z7D+ADnc1+vi7S9pxz5rLcd+eV032B5IJEwQUAFYvm4cta7rxGYqvD6zrwae+9TJSubIGrXwNLx4/hy/euAL/+NMjetytftzW34mRXAVf3neU6uNt//Lf2HnTu/CYYZxGJAFf3XA1FAV0YOfqLlw6N4IFEwQlAnRY4u9f3oF711yBeykQxYcnAGh0A3S61Wn00Qmq2izQZ70+ugEtJxovJ5DlROqcCm17+sJEDrhiBRo4xJc9nqtDZZ7Hf1DglkYg21Mb+/Dqb9U9L88eOOkI9iMQvl8fP6d/SPuBShphke6AxASu670IHfEQvvr8MSpHhAAGO+IhvHxiFAtb1WVxN3jndVcuREdL0BH+uGN9jwlwabW3aXUSO58bdIyLFW5pjNUrx0d1+Gc9sEYSv3v+8HKMFSpUCKMXMBGADk30C6nsT7Zj4+ok9g2m9DwEWuoG0HxwfQ+edYihV3ytwEuADlr1C9ekgRPdgJUrPOCu9eTxA6TsT7bjzg8uw78dPK3nIfkJoNOpjQTMSrNP6x8CcHW7r9dcuRDX9Vw0ocdzTrBELzjlowb4ZD0H8VoBk7Q6vXz08m0ioM96fRzLl7HxWy/7AlrWC+t0A1la65xpB/ZeqI/n6mEx+Ykx2wheh5zglisWzdHTRIHHfO1gU9oHK6BC9ObHQ1ixaA72DaZ0CKSxHqtIPqN9t/x7B4fREQ+hIx50BK89P5jS86xYNEf32w3e2dESdAVvzo+HXO1Fg6JrXAjo0phGYrV3cFjf7+DWdlo9+zRgIg2W6VUXiYsRwkl+9uqzaFA05SGxc4thh0sMveJL/Nqn/ezkn/vYSenQSWs+Mmbd7Pvpm3r6zyvGosCb8pCfvdo4nwLWJPZp/UPuEbf2d7QEdfBlo3KCJbq15+cG4GY9ogEm/dRp9dHLt3Sl/r/oG/VxOKtCOicjXm4gy0brZJpdYo/n6lC6SIdbWiGS9QIuCRhwoiBImg0/oEY/EEq/ddYDxvRbvllwyEyhQn2mPxFgYr195gegORHAn9/x4beeiYA8m5XHE0xoueeaARBtBNZJ8kwUAukES/QDaKxXXgBOpzqtPjYCnvSren0kvk1GvLxBls0FgDLNPLFJUx2KhwLUG9gKkfQCYFrLEDCgH6ikGwiSZsMPqNEPhNJvnfWAMf2WbxYcsiUcgEx5hj0RYGK9feYHoDkRwJ9fkKPfeiYC8mxWHk8woeWeawZAtBFYJ8kzUQikEyzRH6CxPnmBF53qtPrYCHjSr+r1kfg2GfHyBlky8vf5LjZpqkNGuKVx2ZeA054fTKEq13AmXYQCdd+E096T0+kihsaKJkCjsR6rSL7TBvtu+Y0QTTc/zhjglGRPk3Od7TiTKbnmIYBL2hlRfcl25EpVV3+ssENjrIzwT7e20+rp14CJBGC5z6H/aHURm0NjRVv9Xn1G4J0kDwFnkv/THvWcSRcx0JWgPpJQ4+sdPyPUkeYfAR3S7A9YxoWxPAFWetn30zdO9q395+Zrf7IdVblm8tMI5nQby6ddAKJn0iXqfb6wNeR+P2VKuOrSNmq9fkVgidb+d4tDo4BGAn/8ucN+Iac6rT66xXqioM96fSTQUS+fGomXU99MpM6p0ta1F+bbc428IecmtqepDkkOcEsdyJZM4I4nXsL7lrZj6byoCvZzgfAdGhrD1rU9OqBx175j2LgqSQUebrm+G9978QQWtIZ1+04AR/L2XLIjhn996W1sub6b6semVV24Zkk7Nu/er8Mpl86LOkIMN67uwqK2MDbv3k+F5/Un27GgNYzbBjod212uKFTg4UAygY2r7HBLEqvDJ9PYdG3SBNOktr3LXg95ey4k8hA46BBPY/9tXJWkAg83rurC0nkxHZpord+tz7av74XAQQdF9iXbdWjp7hdPOMJLf3dpAn91LX3sLJ0Xw+fWuYM0+7TxcmhozDFOh4bGsG19L9X+fdd3I9kRw0AyYSu/a98xbOi396+x/5zgikYfDw+lqfBKKwQUUOO3bR3d1wfW9eKOJ14yQRGJfWPcbX5oYFYnHzfv3m+DLO7adwzJjpjjfb1pdRdWXTZvwtgBJ1ji6yfT2E6BU5I3txqxSwNMAt7QR6uPTn3eDNBnvT4S6KgT0HIi8XIDWU4UkjnZmiPyaLsA/wWaOGEC2NtzDYkGt4wGBFQ1wGCpUkEiGkKlpkAB2Qc0DuGryCqvJxoQUFOUcbifBheUNAhiplhFS0hEOCCgUKmC0CYIp6lgYOjo+TWgoFyrIR6SUKrIKueIQAQ1GGAkIOicJgKNjIcDiAVUPo9M4JkEzBngEeQ4pCsy0gUV3hkRzaBMFTipAi/nRlQAZMYAH6zUVKBhjHCaKuZ2BwVehUYaQJQVWQUrBkUeSk2FR5I4FMpVzAlLKNdqyJdkRINqm2CAjLaEAgiJPMq1GjgAYVFlF3EcpzGE1DxhkVc5TZVx+yFRgKAxs0byZUSDIkQeCAkCMgbopMADAYHXyqr1xUMqp6ksqJDJUlUGx3FQFKBUqaItEqQDNAMCOCgQOA7lmjo2yNiJBMY5TdWq6leuVNU5TSM5FW7KcwBP/CxVUazIaIvYgZyoKRB4DpmyrPsdEnlUajWERQOnqSJjbkTSIaGxoB2eGZEEndOUKYwDNgmnqUUDsI4W1DhGNE5TgDO3PyoJCAi8zmmKh1UWU7FSQSwomcZbS0hEtVrDaMEMrRzOlpErVdAallCSZUDhICsKsiWVFyUJPDLFCmKhAKJBUQdAhrU+HyuUEQ2qLKtCoWwDPRYLZRTBmThNBMpZ79tYbmlWWCKBTFrTCbSyUTtOgEk/bTH6Eg8HEOI5FGTF5HOzQJ/1+jiWL+NMpgiAMwEtafGq1x8/fTDT3p5rtj/noxjccpIUqNUgccCSha16WiqVQXvC5wfAvLgt7Z0XzbWlLbOkuda5wF5nu+XtIFqdqVQGl9DKUj88YlhoSVtEKevot89209LaaV8KC3zm85FG0t9xET0WnZY0aswoaVZmj5Pfly9ot6VdTLmBU6kMLqHEsb09hs551rSoLd+yiyh2qP1vLzvxceuzb+ZEsQBhU1rnwjZ7vraILa014m/i0rlovD4CgBxv93jbq4USlnaYy1cLJVxK8bvZqwzWtgAqZJLWxmbaqqctNF8Wdkzsy71ZPrZGnEnmzfSlWXUyzQ6xlaZGxPMoghxxUUF7LIiKrK4IRDUic1gjghtXo8IBAYWqDKUG20oJWbUIB3gI0P76L6iU3agk4Fy+iJaQeiQIWZ3hAIgibEejkNWCWFAtO6odR5HV6oyH1VUhAUBOllGraSsl2ioOANtRJpGAAEVR1BUcjZgdlgTN1yrKVRnt2pEv1iNY4toqFKAdhaL5ENGOHynIKoU7FlSPFuF5DrmKrNsh9OyxgnrURktQPXYmW9GI0gDy5apKWA8FUKzIyFdUYnhLSITIq8eZREMiYgEBeVlGTR5fqYlpJHZOW53JaT62RsdX06xHmYg8j1S2pOYJiMgUq6b+EmoKFJ6j+thhORJiJFdWj6TRj8QBJG01y9hf0MZcplBBi2YnHBBQqcjIGOzktBWVWCiATLGCTLGKdo2cni/LJlIzOTJjtFBGVFL/huI4dUNrTa7pK2rx8PhKUSwsIiwItvGvrygJPEZyJcRCAbRFVOZ5tlTV+4TEWwHU/2irjDUoiPA8KgDyZRmZUhUt2rFAY4UyWsKSTsU+nS6iVJUxJywhV5aRLqr08JZQAIWyjGxJjZtKeFfHINkYHObVVYHT6SJG82WdAB8OCAgFBFSrNWTKVeTKMlpDoulYj3SxgpaggBbtiJJsqYI5EUkdc4bYAjD165xwAB0twUk9jqSZaWQlhRCvY/z4Kl66WEEsKELkOfXn0Ph4cvOb1OkWs9PponofhN3rJOPWSB6fjNhOxA5baZp9YitNk6Aqx6OkAPfsOaBTqb/w0yMmuvRXb7kaI0oZj1Ko2vddfwUe/vEhndRsJFobyeJWuvS2db14+EeH8MNXT+vpbqTk+9Z0Y9sPXsOn/2AZOI7DXU8esJGnt63rAc9xGM6V8M97jzrSkzf0deLbLxzHJwY6TaRmQoG+83v78fgtV+MzT47H5B9+csRmb+vabnzs8Rd0loma1oOPakT0REzCtz/5Xnz2yVdt7b+lrxOf+tbLiEgCvv3J92LHs4ds/rqRvY0k6js/tAwPPPOarZ1b1nRj67Ov4bnDZ3XC8VefP2aKLanrmy+8hVve14nWCIfNu/dTYtuL7/3XcfzOpXOplOSHb7gSAPDWSB6PPmeOlZVq7kYd37auF5//0SGsf/ciKqH91v5OcODwDxZq/O9f3oH71lyBe560k+LV/n7d1t99yXb8j5VL0RaVcNeT9PFvrOPju/4L71syF/etucJGPjfG8aZrLsW3XngLmz90OU5ki3j0p3ba9oa+Ttz0ZZXIfseqJD793Vfw5Zuv1sf1OJH6oO7XIz9+3RaP+9Z049HnBvFXH7gM9z55gEqA74gH8fFdv9Ip/eo9OYi9g8O+7Ax0JXD/9d3Y8exBPHf4rCl9x7pumNf6Zp6sxGs9Bk++ZnrBg/TLjf/8Aq66tM2V/E3qfPGtc7aYWWNM5EQTHxotYLNl3K7sSmB7k2M7VXaYZpfYSlMdKvM8aoD+QU2j4BJqsBtVe7kDEdkPEZwcU+E3/8I5IWx75pBjnnv+8HJse+aQKz2ZEJoJZdlK7N78wWV4+EeHPSnltDYY0x6/+SpXevmKxW1YsWgOdj1/jOqvH0o44EyiJhRtL9I3qas/2W6jixvrenB9r22ySvTgH/UCCvCDA0OeVGw/MXWiizuRr/20j9bfP/yrfn08TTTeVjsXa7RtL9q5dcxZ2+OHIP75Hx32pOTTKP312PkdS+wAdeK0swESdb15m0kj90vfdyJ/G+t0+sz0SxMntG/a22vNjG0z7My0labBU2Oz+u25mCQ2fVO3VWylqcnKlGUogIk8bP1QNFKjado7mMItfeoOGVpZaxrRvsEUNn9oWd35FXCuNGVy/da+Tse6jNdv7eu0XRMF3jUmbm0wpnnRy2/t69RJzTR/3WyTMoA97kZfNmh5/NRFo4sb68qWZWfqd0tQr8vLXz8x9TPejPLTPlp/G8fTRONNs+PV/+Rn45iz+uIVr7sF3tc4o9VVj50NlLjv1ajRM/UtKxrx2m8/E/L3RS51On1mOtVvrZPQvmlqZmynys5UautTs/vsuXqOQ5lMsUlTHUoXK6a/HLzo1U5yylMvTdtPfp5zv0kyBX/0XDfKMqnDr09OaX7p5U52mkmrbgZt3RiXyfRlopT1emzX09fNbKM1jzW29RLEvew4jbN6ifxU+zOYGk0jXtfTThr811hnI2PRWOdUEbkZ+ZvJSWzSVIfiITNtxIte7SSnPPXStP3kF3hvmrKfutwoy6QOvz45pfmllzvZaSatuhm0dWNcJtOXiVLW67FdT183s43WPNbY1ksQ97LjNM7qseN0fSZTo2nE63raSaN3G+tsZCwa65wqIjcjfzM5afrXumaRWiQBMUnQAW6EOGvUyydGdWo3TQMaqdiprFM5IzncmN8Kk7Pm56C45uGgmOjJNBmv04jdVbnmGhO3NhjTzqRLNmig1QdC0q43fn2GuLvFw0r6dquL0MWd6opJgmMdZzIlnMmUPG14+ULi5zbeaORrtzi49bdxPE003lY7ZzSavFte8rNxzFl98YpXVa652jmTLtoo/Y3YscYOUPfDzGRqNCFeG+WnnwFn8rexznrvW2udhPZNUzNjO1V2mGaf2KSpDkm1GkQFOp2YRlvete8YkvNi2LSqi0rVvu/6bhx0IDUbyeJG9SfbsW19L7734glTuhspecv1KnU6JAqOebat64Uk8ti4KulOT+7rxOGhtI3UTCjQdzzxErZc3+0YE2LPSD+npW3evR/3r73C9qGtb3bedwybd+/H1rUq7ZoWPxqd20qi3nJ9N7WdhKJN6nKjWh8cGkO5oujttvq7fX0vvvNfx6mxWNmVwKrL5uH9l83DptWUceJEHafEZdu6XvzrS287xpyQr63XXj+Zxo71vVQKulN/9yXbkcqUdZK3U18b431IG6NOeci4OzQ0hqs652LTtXQyO6lvoCuBTavVMWckqhv7y20Mbrm+G199/hi2re9xJMC/R6Pkk3qNZHA/dga6Eti6tgcHtbFkTN+xrmdG74WhEa+tMSAy9osb+dtYp+vnngPx21gnoX3T8jYztlNlh2n2ib0914gMnKZcqYK5UQOnKSiqNGaNqFwPpykaFBGRxjlNRtL2uXwRsdA4D4cwlAQRCFE4TeVaDS0UTpOxTp3TpAABntep1VA8OE0aMTvik9PUEgqgxchpMtCfCaeJkMNjFk5TJKhymYpVjT4tCWiRVF6SlYHUElQ5PUZOU4yQqDWid0xy5jRB42vlDIT0aMCZ0zSSK2m8KZXTZIqtA6epJSiaSMZWTlNLSITEcyq12tJf0MacMX71cppUdtU4qdnIaYpIan/bOE2EOk7hNBnHv43TFAygLWrnNBECfH2cpnHCNKDyfMpVGa0OnKZcSc1vHIMhF04TIa4bOU15rT8uMnCaMsUKokEBcY3TRMjjxapsii0wzmkiJOrZyGnSx5+Btq7GQOU0qT+7k7+tdbrF7HS6qMXdvU4ybq209MniNDViZ6a9PXf45Mx8e07gyBkP7mJvz1n0yU9+EnPnzsVDDz1Evf6f//mf2LFjB06cOIHly5dj+/btWLRo0RR7qalWQ5iDiYbtREc2UsNJGu2Go5G6jZToRRqh2ckOjczdrtGojRRdGnma6g+Ntk0lntNI3faldmc6ur86F8+3t+9iGr2bRuCm+UihFjuRsKmxbY9hybyYKY1K9ab4aPwrlVCLOynjxEodd7Oz0DEWZrJ2+0VmsnYAio14XVccqePJHBsA4FMZahtpY2IBjeC92Ox3tVCytcXJbxoFHQDmx0M6uNKtPOkv433UHg/BOCRpsaX2a8H8eHqmika8pqUZyeqN1EmL2WUXeddJHbeTENupsjMV2vb0zHx7zvdbcZM8YfKrGTFpeuaZZ/Af//EfWL9+PfX60NAQ7rjjDmzatAkDAwN47LHHcPvtt+Opp55SV0amWDWeRwnAoZNpE936zTdTiGqrOyO5EsJBEZnhrH7mWzSo/iU7fCoNjoNOWJ4TlnD2ZBrpokqUDgcE5MoK3nxrRD/DjdCmJYHHW2+NIBpUz9AqyzWAA9Jns/oZXnFtZefE2SxgWGFqDQeQPpvFSL6s048DPI/U6TRqNfNZZmNnszhnOMssKPAYPpXGmHYeWFtEggweh0+ldZp3S1BErqLg2JspfaUpo+UPBwScOTmGLFl1E9U2vnEspdOaOQ4oVRUcfXMEMc0uOAVhUcTI6QzSxQqikroqFBR4nD2VRqag+ktWilKnMxB5Du0aYThd43BqaExf7SN+HzubRV5bBWzRSOwix+P102nTSmBbRMKZk2lki1W0RkS0BAMoWuqMBkVkKwreOJpCa0Tto5F8GbGgiGq6qH8xj+XLGK4oOHpsRCWdBwRwPIdsWcHg0RRaw+p5ahe3RVAEj6NnsyiUCTVZjUdNAYZPpfW/y0SeQ0RQ21OpKagpCvLaSlNptIC0doZba1gdL2+fOGciOMvgcCKV01drYhoZu5DKIVNWz61rjwaRLys49uaI5ZzA8bZEJAFBUcCYFgdCLK/WZAR4AfmqgrMn06YxFhB4vPnmCKIhUT8zMMJzOJ0u4ly+jEKpirnRIPIVbZyEVcL4/HhI99tKSK+li5inxft0uohzZQVvHBvR+36+5WghL1XA4Y0zWRMR2qqxfBmpioLjx8+ZSNbNEjlzLV2sICYJEPPm191pPvrxezLsMjGd75r2SdPo6CgeeeQR9Pb2Oub57ne/i56eHtx6660AgAcffBB9fX341a9+hWuuuWaqXAUAlDgeRbmG+58yE6XJfomb/vmXWHZRC7at68GJcwV86T/eoFKHi5Uavv7LN7H5g5fjgWcOmijUX3n+mE4b/vt/N5OcyT6Cjz7+K7x7cRs+de1StEaCNuKyThH/oZkirtOxv6WW37g6iXxZxpf3HaXa+dguNd/tq8YJ1YC6P+OO9y81EaP7k+24rX8JFChUIvgtfZ24a/d+PHTDlTZ69UAygTtWmetbvWweNn/wctxtIZ4TEvltFlo1IUx/9L2X4lyuhIqsmKjshNZeU+zpu26+Gl/e+wY+olHGSfwJsT0iCXjspnchFChjp4X0biSW58vyeOy0Ptq+vgcBgced33tFHwuL2sL4+m3vwT0UUvv29b04ky7aSNsDXQnc1t+Jr/3iTdx0zaU6TftfXzyBv/rAO/G5H7xmo2PT+pQQnHes60FRBj77lJ2MvWlVF+RaDfPiId/xJ+P6jm++hHxZxnU987H5g5fjs0+/psfVaYy9a/EcbLm+G2/nyvjCT17FoVMZPPGJ9+LuPfT4yDXgvu/br21d241SReWp0Sj4O9b3wryW6Cw/ROih0QI2795vYvo4kawbkVv9C+eEbT46nSpQL8m6XruN2GBimo2a9o3gDz/8MD784Q8jmUw65nnllVdw1VVX6b+Hw2F0d3fj17/+9RR4OK4yz+PtdME2YQJUmN3nnn4ND99wJfYNpvCLN1K2CROgwuB2/mwQJ8cKuGJhKx74wWu4QlvCv7W/U/9iMf5sLf+V54/h1v5O7B0chqwAn32a7s+9ew7gj9+9yLX8zueO4ORYwdPOzp8N4tb+cVjf3iPDeNSStm8whZNjBezaZ/d7n1bfw5QJEwDsHbTXd8XCVnzuB6+ZvrBJXqs/xN8rFrbiK/uOoVJTbMfY3NrficGzWWr6oz87gmULWx3jf2t/J06OFWwTJmPbiD/W2N3z5Kv4v6+fNY2Fx/7sXbhnz6v0fnvyAAbPZO0xOjKMx/dqbXx+/P83vHuRPmEivnqNnZ8fGcbbYwV89qlXqWP00Z8dgSDweOBp//En45qk3/DuRbh3zwFTXJ38IfdPpaZg72AKD99wpalN1vi8cDRFvbb1qdfw9lgB+waHqdfvfvIASj4+9sbyZXXSYKnj50eGcfee1zCWL4/nsUAQf35kGHft3o8KJrYK7lX/6XTR5uOt/Z141DJhsvrtpQq4uu3Wa4OJabZqWidNv/jFL/Df//3fuP32213znT17Fh0dHaa09vZ2nDp1qm6bHNf4v4y2idWNAk1Iwh3xkCt1eH48hBWL5mDfYEqniK9YNMdEW3ajRZMyfv1xKr9X88XLjvFn2nWi+fGQ7UvWmJ8Qvb3sAf5jYE3bO5iixmXFojmYHw9R00lZp/g7lXXyxxzjYVs/WInWRu0dTKHDoU/2Dg7b/LXGtJ6x4zZGo0HB9Tot/mRcA+OEd7/+7NP6jZRtJD6kDrfr6TJ9X4fxSb8fIrRbHkKydrPhleZV/7mc/bpbrInfXrbTlVrddt1sONmZSWmTZaeZ/85nNTtWkxnjaXs8VyqVcP/992PLli0Ihdz3GRQKBUiS+Xm5JEkol+v/i4b21oRfHT02Atnj9QM3YrVRNLJwI7RhLxq003W/trzyuRGT6/GnXr+8/KHZ8SKxu9luhPTuVp8fKrXXNae2TvbYcbNjTGvkXqiHDu+kbFF2vZ6mUKsBYO7cFkMebyK01/s+ecrkzGjDK+2t4+dc66e1w5uubW4XzXbOYVLpZtfNhpOdmZQ2GXVO5LtmMrTtht6mvs3XLMVDAbTHmvEwe2o0bZOmnTt3oqenBwMDA555g8GgbYJULpcRj9vfLvJSKtX4a6DxkIiKxw5+N2K1UTSycCO0YS8atNN1v7a88rkRk+vxp16/vPyh2fEisbvZboT07lafHyq11zWntk722HGzY0xr5F6ohw7vpFhIQL7sfD1OoVYDwMhIRv/yawYROiLZ22C04ZXm5QOtHd50bXOdNNtRit9edt1sONmZSWmTUedEvmtoSiQmNglrgeLjxf6pl1IsY7g4Mx7p+onxtD2ee+aZZ/CTn/wEK1aswIoVK/D000/j6aefxooVK2x558+fj+Fh83Lw8PAw5s2bV7ddRWn8X4skIFeSPSncAFS6sQNRtk+jNBNaMo387JfC60WlthK4reWdiNHWfE40cGva6XQRAy5+u9GrrfX5oUnT0gaS7ciVqr5p7UYqtVP8vUjvVn/MMU7gTMbcD1aitVEDGpWafi1h85dQ0q3t8fIzV6q69lWuJLtep8WfjGuAEN790eYBdbzmSlW9bCPxIXW4XY87TAqMX3B+iNBueZzo2LQvUac0r/rbovbrbrGmkaxptuMBvm67bjac7MyktMmy08x/E1Wz/Tkf//nRtE2avv71r+Ppp5/Gnj17sGfPHqxevRqrV6/Gnj17bHmXL1+OF198Uf+9UCjg4MGDWL58+RR6rBLBL4mHsHVtjyOFe/Pu/ehPtuN9SxP45MolVDr1xlVdWNAaxsGhMWzRCOGAP9qwiY6cTEDgOFcq9W4LRdxafuPqLiox2pbPSgPvStiI0f3JdixoDWNDvwOduq8Tm3fvp5K2B5L2+g4OjZmoz8a8Vn9MhOn+TgR4zkbb1mntlPRNq7pweCitx9wa/137jmFBaxgbVyUd20b8scZu+/oevP+yeaZJ9B1PvIRt6+jjaNv6XiQ7YlTS9G0D4xRt8v/dL57AfWu6Tb660cwJwfmS1jDuX9tDHaObVnVBlmu4jzK2nOJPxjVJ3/3iCWxb12uKq5M/5P4J8BwGuhLYvHs/te9JfK5Z0k69tnVtDy5pDaM/maBe37G+F0F4P2r1Q4QmeawTCDc6dj3yqn9+PGTz0Y2u7ZdkHYBSt916bTAxzVbNGCL4XXfdBQB46KGHIMsyRkZG0NraCkmS8Pbbb+O6667Dxo0bsWrVKjz22GM4evQovv/979fNaWoGpZVwmnIWOvNwtoiwpNKbR3IlhIIiggKv8ZNUmnU4IKCisZUkA6epVK3pvJNIQKVS58tVE6cpHg4gKKh064iF0yTxvM5pagkFEJcE1GqKidNEyo/kywgFVF8CPIdCVbZxmgICb+M0qX6o19uiEuSKjLRG7o7qnCYZ2aJKiS5rlOh4SNTYU1XkSiqlm7TRSDHnANVGsapzmhQoiAREPT4Radyfola/znQCwHMcBAOnaSRXHucxhUXMjah+F2uKnq76w0PkOGStxPaIpJ16X0U8IiIeHCeOkzpjQRHZUtXURyMagdzIBhrLl3EqXdQJ1IR+bqR8xzVO029TOZQsRHmeA2QF4AAC0oagcZpKNQXVmgK5pmhEZQHRYEDnNMXD6li0EpzPpLIogdP6YpyMHeBV0nupIqusJI0MTjhNZOyRtkQJp6lY0QncEUmAXKshwPPIG+KaK6l0dUngcS6vksjDAR6KAkR4AAHRwmmS9XHUFlXjSfymEdJNnKZcGWlL2WYTocfyZd8k60bSCC8pU6wgIgkmoryTj4VCecLE7Ebs0mw02u6pTJuMOmcaEbzZ/pyPmlVEcKNOnjyJa6+9Fl/72tdwzTXX4JJLLsGjjz6KHTt24LHHHsOKFSvw2GOPTQvYEgD4Wg0RDlhsIYIvvtRM8HakKM+j0Jtp1GkLlZukd15KoXVT7dBu7Bg6LWmLKLTt9vYYMM+c9g6K38soJGorgZmkL17Qakuj0a1pxPPF8+1toflj/eByom0voNwcqVQGF9NiQekbWp3GdneSsoa3uAj9m9Y+axxCqOFiBx9pH9gLaX09J4yFFiK4leAsQMEi2tihpNEo8da2SKmqY//T/F5CG8sUUvflFtuOfsfHKUzz4yGIlYrN73rkhwhN+tUPyboRGUnaVqK8k4/VQmnCJOtG7M5WWjYTk1/NmJWmqVIzZtsyz6FQg77aEA+LaAkIWNgeVenAuTJkRYHIcShVyVlxAkKiAJ5TKc4Vw0oHIWbnKzKK5QraoyFky7JOAY9KAkq1KgQIKMnqn+vkL/ZoUEBUElGoykjn1b/gOaivT7aGApAVBeliVV0pCasrSBW5hpoyvqpEzlIra+fnxbTXvhUoCIrqyhjHAVFJRK5cxWhepWPHRAFFWdFJ5qGAgHShoq6YhVSy+Ui+hKgUgCRwKGl2sxqxmpz1lStX1ZU1w4qKwPNoj6qrPPlSFbICFKtqnjlR9eyzjIEGHRJ5VFFDWD+Hr4pYSI1NqVpTbWq09UyxgrR2TlpQUM/py2mrEVHLSlJrWEQoIOBcvqyTtK1/Tf/2XB7pYlXvr3hIhKCtougkeEPfVxVFb2+LRsO2viZ/KpVDGdpqZqGCeESlYdcqMsb09okICEBQOweOrHTFJAEhKJC0s8LICmaY51DD+Pl/8XAA8YCAKrSz3rRxGg4IkKGO32K1ZiKKp3JldVVRElGmrIQpGD+XLxYKYG5EQlDk9RU2EouAwCFfVVcpybl4YwWNZh9S+2ysoBLgRYHDuVxJX73Ml2XEJEGPl5Fa3WFZDWnW2WNG6nW1UNLPUSPpUe08O7f6yIpUriybyOFONhpdDSF2ChUZcyISytr49xMfJx8nuorjt4312iGrYdlSBa2hAKqKgpoCnYzfot1XXmOCVme6WEFLUECLds5gPX0NsJWm2ahZu9I0k1XkOPx2tGgDJA50JbBtXQ8e+dFh/PG7FyEiCdhpgcz1JdvxqdVdSLRI2Pr910zX+pPt+IuVS3HJ3DCVZLxtXS8e+dEh/NG7F9lAgTQi9Sf6l2BUqth8sNKcCQ37sZ/ZfSWE7T8fWIJipYYnfvkW7vzQMvy/3/k17l/brfthJJlb/bpvTTdu+5f/wiN/fCX+6WeDJhsfuLwDd31omQ0WOpBM4M9XLgEAnM0UUVOgQyUTMQlPfOK92PyUPUYPrOvB1qdfw08sdHW3WBlJ5Z//4+VU4jchcROStpF6/FYqh7sN/RWRBDx+81W2tvYl2/G5D3fj9FgJX3zuiK29G1cnUarIWNQexdupHJU6b6WmJ2ISvv3J9zmOl63/egDPvDrOMhvoSuD295v73snXz67txrZnDuInh8+a0m/r70S+JGNUrNjjlExgQ/878I1fqqTyv/zGS3jspndR74ONq5KoVBVUlRr+4Se/8RzPW9Z06+R8EmeVfD2IvYN0avVERaNe//7lHbh3zRW491svm1hFA9p+Hye7NML271/egfvWXIF7mkjWJnZefOscvnjjCjzy49dNsXWLz2TRzSeLHm5t6z/+9AhuopDn6xkTxhg4kfW9+nqmarRam/IDe6fikN2pFltpqkNVnsP/HUzhBwdOUgFyZEPw6XQRzx44SYU8DiTb8aHeBbj7yVdt1x5c34tnDwxRgYL6ZmMKWRlQv4hWLG7DzucGAQA71vc4+mDMu3F1Ei8fP+da58vHz+EPexdgaKyIV46fw6c/uAwP/+iwXsatjv5kO+605CdyKzfQpU4Qjp7N4RlDvB+/+SrHGPQn2/E7dbSLxKov2Y5btX57xqFvB5IJLF88BzufG8RAVwI7b1yBbKmKO3fvN+V3s/vg+h484zIurutdgJWXzcOJc3k8+pydPG713SsWG/o6cdu//Ldjea9++x1DjIx+3rE66ejfQLIdy7Uxc2ufSiZ3GoObViex87lBzzFK88fN95VdCTx644q6Vkis6WP5MjZaJkb12DXW10hdZIxZH4l5rboQO/XGx8lHkv+Rdd2+VldoK1dO9dLa6Le/TqWy+PSe10xtJZ9VjYwJa51AY31t1Exbafrol34x5Qf2+j6Md4bIT4xnT2tmgDKVGjpcqNCEwO1GxXYjcBOCslvdfonUXmRuGoXcKZ+R9Lx3MGWjWbvVsY+S30+5vUeGEQ2KNgq3Wwyc6OpO7TL+TvrNmUI9PE741qjH6WLVkS5OU4fHuOiIh5AuVl0p70bfvWLhRYP36jcr8Zv46eafkQDeEQ+6jsFoUPQ1Rmn+uPn+cwcqdT1yonE3YreRupzI2n59rtfPRujm9fpkVSNtJDJSy2lEf6v8jAkrCX2yxxjT7BR7PFeHMsWqL+J1IyRrt3Rj3X7r9etDI/msNGtPCrED/bqRWPqNQb19UG+/ZYoVX4R0v9fI9UyhAtnjr9Nm0eAbHad++6DZxPF6xjeNSl2PnIjgjdhtZl1uMtqpt25vAro7BdyPT3788CujP37Hs5ctaxsne4wxzU6xSVMdagmJGPU4/sKLRgx4k6nd6vZbr18KcyP5rDRrTwqxA/3aT3utsfQbg3pp4vX2W0sogKBs/1D1S1d3ut4SDqDqsQegWTT4RojrfuxOFnG8nvHth9jtJicadyN2m1mXm4x26q3bm4De2FdFM8jq9HLj/vgdz162rG2c7DHGNDvFHs/VoZYAjzMZZ6I1IXC7UbHdaMaEoOxWt18itReZm0Yhd8pnJD0PJNtRlWs2WrZbTKz5jeUcqc9dCeRKVRuF240U7URXd2qX8XfSb440ZY3ETXxLxCTEQ6LNFze7Z3yMi3hIdKW8G333ioUXDd6r36zEb+InjbZuvG4klbsTx92J5Eb7Vn/cfF/pQKWuR040brcx62S3kbqcyNp+fa43Po3Qzev1yapG2khkpJbTiP5W+RkTVhL6ZI8xptkpttJUh8Sagv4lc9GZUFkwtLfnPv+jw7jh3YuwcXUXAM70Zk9fsh0bV3ch0RLEQDJhutafbMclbWF8bl0P7tvzqmmvB6F7P/zDQ9jQ12mzbXzbiNhZ0Bqm+qC+PZfEbf/yXwBUgvCum68GT/GVvD23cVUXihUZzx06g/uu78ZtX/0v3L+2GxzUvSa79h3DF29cof9u9GuLlv+RP77SZuPwyTS2ru3B/U+9an97bmAJOlpC4ABsXJXU27x593488Yn34oEfvGaz9cC6Xmz/wUG9XU4+GWNFft+svT1ntGXs29v6O3H7Ey9pb/2ME6G3r+/FPU8e0G3s2ncMj998FXiOM+2P6Eu24z1L5mLJvBhq1vq1t+cWtoZwcVsESk3B1rXd2PqUuY0DyQTuWJ3ErV9V+27z7v349iffh61P0cfLIz86DKPUt+fMfe/k69a13XjoWXP5vmQ7NvR3olxR6HEyvD1H6O+P3fQugFL/xlVdKFdq2NDfaYsHbTxvub4bD/3wkJ5n175j2HXL1TbfCbV6olRqQuO2vk32+sk0tq/vxX17XsXPKW/P0eySuu7avd9U5vWTaexY34t79rxqa8P2BsjaRjtk/APm2DrFx8lHnW4uN/Z4zimOjbaRiFDLjW395gtvUT8f/Y4JY50/PzLs+Bni1tczWVvXXjEtb8+BvT03uzUZnKaWsIi4hdNUUxQIhNNUUmnghNUTsHCaWsIqs8jKaSKk3ZgLpykiCYgFNU5TQWUscQDAAXOMnCaNySRZOE2xkKjxg1ROU65YRUSrw8hpAqfeADqnKSwiFlA5TYT5Y+Q0tYRUsvlIvoSIJOpEcaPdKIXT1BIWIRio3p6cJgNRvKrUEBbonCaVSRVAWBrnNMWCIkKi1u6SStGOWThNhKE1mi/rJG0nThPxpdXCaYpobCKBUwnesoHTFAupPrhymjTuVVvUwGkqqf4bOU3G8WLkNJH0sGDhNGnkeJ3TpI2nSEBADer4LVZryGhEcUngMZIrI2LlNJVV3pTAcVCgjHOaggHMjRo4TYSK78JpIlT0UlWl4IclAQGBx2i+hDmRICpyDQUNlzDfwGlyolY3i9NkpV4TTpNOIxf8c5qs5PBmk7WJnWJFRmtY0sZ31Vd8JoNu7hbHZnGaciW1XllRoCjQyfixoL8xQatTpecLiGucpnr6Gph5b88xTpO3GKdpkiTUFLRwMFGhU6kMADtFl0r6pt5wUVualRI9ntf+AbKYRrLWOCIXe9r2+SHVFrGlXWwhAgflKpYZ/L4UUT0vleAdjxrB43X5cwk1tvY42mniVRvJWi9vYa+QOhcb6rVSjy9uiyBE6S+xUsEyCv27PUFpn+WNygBquMjhg30Zpd2LKGnGsTjeFrvthb6/pGLotFDil1DI6O3tMSyZZx5nTiT0d76DEh/KOFtyabstjbTNjVo9UTlRr2mx9ZITObzZZG1ip91ix098JotuPln0cNvnLWXcNrJiZ6ozHoLx49VPXzOdv2KTpgZEVppOD42ZiOAnUjnkDGexxYIiUmfSqMkAOPWssJoCHD02gpaQiKgkgAOQKSsYPJpCa1g9r6tWUxDSDlMj52dlS+QvcgVHj42oZOWAAB4ADw7ps1nT6kgsIGAsX0a6UBk/ey4UQPpsFiVZRlAQEBR55GUFx4+f0ym95WoNBfA4czKtkqg1n6o1BdV0USfjklWafCqHXFnWVm5UmnQplUMV6ipJqVxBeyyErNZGQqwWAXWl4lweGQNNOyoJSJ1JYzSnrm60RSQAHN44kzXRhJ00li/jTKaE0UJFP4ssezaLGqCfzRcPBSCni1AA7Wwy9S/IFknA0GhBWy1T7UcDgim2Kvmcx9lTaWQMVPFSVcFbb42gNSLp/qUq5tgaP7zJimS1pqBWU8u2hAKQBB7pYhktoQCGT6UxVhiPayggIF9TcO5MBgLHqSuTFRntEUn1sayu+rSGA4gFeBw9m1Up24aYGQnKbREJco3D6aExbaVNhCTyEMGZ+lqlIHO28nNCAWSHs5BrQKGq2o6HRKTPZpHKlRELqWf9KQDOlRW8cWwErWGVgH4uX0Y4IOLsyTQ4HpgTNp/Rp9uISChWFLx94pyJbh2VBGSHcziXLyEkieA5DjzUMZorVfV2E7/dxouRKC7my3o/jeXLSJP4lGXMCQcQDweQkRWkTmd06nRrREKYp8fbqkodY5lpZor14YUtNmmqUzQieEQS8JVbrraRjwkR+x9/+jpuoJC8rYRmUuaBdT34wv99A//j/Unc8+QBvHR8FF+8cYWNnEzIygtbQ3jkR4fxw1dP69f+sOcifPqDy3DPHjst+r413Xjkx4fx8fe9A+2xIP78ayoA8Tt/8T7UFMVGoiaE6bv/dT9+aiBED3QlcMf7xwnVALB62TxsWXMF7t3zKt5K5fG1297jSKwWOQE7njmIZw1+E/9uf+JFDGfLNgo24EwTzoPD3d982bRvivhj3CdGo6CrdO334n6Kr1vXduPmXb/SuSxGivhDN1xJ7dc7Vql7j4w+E7Ly0GgBW77/Kj7ynsW2sn3Jdtx/fTe2/cBO4960qgsLW4M4mVGp4i8fH8VjN70L5WrNkc698ZsqVXtlVwIPrOvBA999Bf/5RgqP3fQu5MuyrdwHlnXgrusuxz3f+bWZJK/tQfncDw7q5YsV2URrN/q6oa8Tf/mNF7Hzxnc50uY/9a1fYcXiOdjQ14lHXjiMrdd3A+Bw97deNhGtX9bGv5Vurdfz5fF6vvXCYdx4zaU6TdyN3uxGwOYBvDmSx6MWevu1y+bhzg9ejs/9wH6PGCnmtDE6WWRspqkT60MmtqepDjkRwTeuTuLXx89RQX31krxJmfu1jcDPD6Y86dZrehegIx4y0Z/90KJ3PX9MLwsA0aDgSHp2IkRb/Tf6+tTGPioJnNT3uQ/34NhwzkatttKsaTGy0oTH8mVs/OZLNjgoLXa0tHrp2oQiXk+/ruxK4KF1Pdi851UsXzSnbhq3laJNNo87U8xVOreVqg3AsZwfSjgpD8DRdj3xIT9f3BrCswdOYq9lzPuluxsJ9sbY0+jNYjjoSsC+fVXSNmHyio+1z41jtBlkbKf0mZ420/xp1Md6+5DtaZp9YkTwJsuJCL5i0RxHsnG9JG9SpiorehkvunVHPGSjP/uhRRvLdsSDrqRnJ0K01X+jr04kcFJfqVqjUqutNGtajKw04eFsmUpTp8WOllYvXfv5Bvr150eGkS7L2HtkuCEat5WivWLRHA+KOZ2q7VbOj1+kvJvteuJDfu6Ih/Q+NPrhl+5upEIb290IATsaFOqOj9WucYxOFhmbaeo02/twtFrDuSn4V+HP72kFezxXh5yI4M0keeu2Cv7pvqVqzWbDL42ZVrYeP63pbuRwq9zo11afqDEyEHnroS7T0hqhVzfSr8TPZtC4veqg5WnUbj02iSZCsG+Ebm/82VqmXgK2F03djy9Gu5NFxmaaOs32Ptz61MEpOXtutp03V6/YpKkOORHBm0ny1m2F/dN9gyJvs+GXxkwrW4+f1nQ3crhVbvRrq0/UGBmIvPVQl2lpjdCrG+lX4mczaNxeddDyNGq3HptEEyHYN0K3N/5sLVMvAduLpu7HF6PdySJjM02dWB8yAezxXF1yIoITUjZN9ZK8SRlR4HRasBfd+ky6aKM/+6FFG8ueSZdcSdROhGir/0bKcVWuudYXFHkqtdpKs6bFyEoTTsQkDPikLtPiWS9du6+Bfl3ZlUBcErCyK9EQjdtK0X75xKgHxZxO1XYr50aptpZ3s11PfMjPZ9JFvQ+N8fFLdzdSoY3tboSAnSvJdcfHatc4RieLjM00dWJ9yASwSVNdIkTwTau7TB+ou/Ydw8bVXbYvbULE/t6LJ7Chr9P2ITzQlcDGVV3Yte+YqcwD63rx+N6j2L6+F/3Jduzad4xanpCVf3dpAt978YTp2r+++Da2reu1fcAbfdq4qgtXdc7F5t37sXn3fnS0hLB1bQ+1zLb1vTg0NGbzf5PF/4NDY9i2Tq3jjidewgPr6PVtX9+LIM9ht8Vv4t/m3ftVG8kENq0221jZlcAOC024NSJhx7puWx8Y/SHate8YNq3qwkByPO/m3fuxdW031deta3t0f0gaIV5v6Ou0lRnoovv88A1XIogaHrrhSrx+Mu3Yp1uu78bhobQtfdOqLiyMq6T3Pm1cLGgNY+OqpH1sJRPY0N+p+7CyK4Ht63vx+sm0a7nDQyql3RrHga4EdljKL50XpdbRZ4iPNc7G67v2HdN/PjQ0hv5kAjvWdWNlV8I05t3GP60ekkb8diNgW78EST+9Y27Edp8DwKGhMdy3ptuW3m/whdRjHKPEnjWutLHMNDPF+pAJYG/PNSQnIrgM6JymSFBAS1BEUZZtnKZsUSVix3RO0zjNOapzmlTqrJ3TVBsnK+ucJkCG2Z+WgIBYOGDiNBFydkmWIQmCylmqVJEtjtN/y9UaChVZJ1ETn6o1GdHgOBk3qnGaAEKtVtscCQgI8tw4p6lCJ5yrnCYZgigiY6DtxiQBBVlWOU0hEW1RCahUkZX90YTFcBBnMiWMFSqmGI1zmtR650YlKqeJF/hxTpPG0qoServGIQoHBBQqhDpOOE01nZFE/uJ0IysTTpNcU3R6MSG2Z4plREMBlKs1pAvjcQ0FBOQrFSgKZ+M0KYb+J9ywYk1BukAnWedKFcwJS5AVleqd0+jkQZGHACAUFKkUZCOBOR4KgONg4zRJAq9ymoLWOKvsq5DGaQoFVPI8xwFzIiqnifQhsdEallCsyihZ6NZhjbCv1iNA4FWGfTwsIVeq6u32ojcb6c9WYvZYvoyRXFmnnrcSTlOxDEXh9H5rDau0dVq8/RLGz5e30Gar3/Xk9duHM+3tuY9+6RdsT5OHGBF8kuREBKeSujvspObLF9gpyFaaNKHOkreUjOk0srITCdf+GrP9CyS52E4OXkyjbVPIuE7kaKuc2kijPy+ixMwvTdgvBZsQuK2xbZ8TNTF9UqkM2udR+vUiSnwWmOPoRla2k+ON+aJqmsWGmrfq+4thodVvB5J1J43q7UBB9kNgtpLDAY2Obhj373Aob7Wh10mhW7e3R3XivNFvaz43WdtjXb2sFkq2+IiViu94WzVZZGymqdNs7cN7r2/87DmB48DBX+Hz8bw5o9ikqUGVOR6HT6VRKFXRHgsiZ6B6RyUBAoAqVHJ02kB1DvA83k7lkCnLSBNqsSSgMlrAWLGCMe2cr1aN6D2ar6hns2krSCGRRyGV089Xi2qrELV0EfmKjFxJPcetNSQil8qhVK1B1sjFsaCI7HAOo4UyYiE6yfZMuohcjcMpjXbeGglgfosdCwC4k3GHRgsYK1SQKVYwJxJASBRMdbaGA8jUFKTPZsdJ3eEA4hpZPVuWTUTy7HAWBe0cutaIhCjPmWjOTvTnEngcPpnWVznaIhJEjK8wjBXKiARFCDyHAM9h5HQG2VJVbw+tjVWfRGBj2dZwANGgiDELJRygk8ML4HHoZNo0RloNG+uNbY9KgonCbW0jIbgHBA4jZzLqCkmpijkRCUFeHcfpgjk+NJnGo7aqlDqVBjhA4HiMFspoCYomqjYpN1JVkDqVhkzOHgyqq1onjo+gJSzZiOnNlNs4IeOUEOlLowUqCLOeOpvto1c5N/J8vfkudDW7X2eStj3d+Ntzda0enccTJoBNmhpSnuNx75MHcOhUBk984r34jIUife2yediyphv37jlgIyFvWt0FDgo2fNVMAd+6tgdn0iX8xTdeBAB85ZaroIwWTORxwJnCffd1l+OzT72m26NRr4kPG/o6ceM/v4CrLm0zkWxPpHJ4e7Rgp0t3qXtN/NKNc6mcHpOIJOCLN66wka+vXTYP9/ogdQOgUsFp1G0r/fm4wQ8isp/qkScP4JkDp3S7j998Ff7pZ4Pm+N1yNR6zUN5p8feiPzvFgNaGNb0qyf1uKpm8B2GBw8nRAu60kKxJv35816/+/+29e5wU1Z3//am+d89Mz8AMM4oiAWe4CINBE4nLwCr6M8lGDBfZXzS6G00W1yy6T0weEEgE0REJ2cQnEDXG6CYxalwRNuy62bghhssmahQviCADCBJgrsx0z0zfu58/eqqnuupU1anu6vv3/Xr1Szlddc73XLr6O11V78KVk8fivoUz8G2ZiG9ecwO+fvXFKUknKyZxfOSXOgcg4NRZv0L4KJrHn/nTCdw8ZyJu/enruHzimNQ86NnPb5s7CTc/+To+NXFMyphuJsMjhvG0cRhZJ9FYXHV9TJQ9w5C3Tp6Ey6z6tIzmzgy2q3TMnleiPKFrmgwStlhw7/ZkMqRmkV6xoBnvnDzHlC3Oba7HF1rPx+mBoMICvmJBcyqB0DI9a1m4pTHwmItFk20wGsfvPuhUt0sbsBt/fuZ5WLP9gGYc2cSsVSban4PROO554W0uw7cZsWiNj5G69MzkKxa04HjPEFa/9J5qXQB029Papq25Hv/yt59Mexbcy++dUZjwU30fMY9LTdzzWxqwedml+Na/vaNpP5f2f35LA767aAbXE+R5ytQs8YByncr7/90bL8X4OrehOlnm8WxilNcn3V/rMygdR97ttGLMtiwXdZpdZva8AuV1TVMpX6dkBDKC5wB/OJb6YKkZj2dPqGN++ICkNbjJ62JawKucNl1js1iHmoVbq4y1v2iyPTcU1rZLG7AbS68TUosjm5i1ynZL+sNr+DYjFq3xMVKXnpm8ymlFo8rpUrEunvb0zN/nhtJt6ywTvohoHpf2ZfeRHpwbCuvaz+X7+CLm/bSvZokHlOtUyt6OXgyoiFm16mSZx7OJUas+PaO5OI6821U6Zs8rUb7Q6TmDSK2wZlmDpfXxGpf1jMlGYvAHIwjHErr78NqNeWzO2casVSb2Rws9s3YmsaiNj5G6eMzkWvVlYgln4QtGJf8f4e6DdDuxDmNrMaqxpTGMrFM5anZns63Qmdanv1/U0HaVTqnbvon8QUmTQaRWWLOswdL6hsN8P/7pGZONxFDjsiMSi+seGHjtxjw252xj1ioT+6OFnlk7k1jUxsdIXTxmcq01koklnIXXZZP8vx19Q9p/abNM3GIdxtaieYckI+tUjprd2WwrdKb16e9nM7RdpVMJtu/1N2R+91y53xFnBDo9Z5AahzVlZFazSGsZwuc216PTF2RawIdCUV1js1iHmoVbWsazv2iyHVPlQJeWXdqA3bjLF9SNI5uYtcrmS/rDa/hmtWs0Fq3xMVKXnpl8KBRDl599e7NYF4+1Ws9IPkZyR2BDtYNpwhcRzePSvsxvacCYKoeu/Vy+j9du3iFJzRIPKNeplLbm+rQ7FXnrZJnHs4lRqz49o7k4jrzbVTpmz2sxUmezYEyGLzslTCnoE2MQRzyOBxe1Yl5zA1ZtexffuV5pkf7g9EBqGyni3XMXj6tWWMDX3zATkWgCT+09jqf2HsfF46qYRmI1C/f6G2amtceyXosxiOZiqcm2yetCW3MD2y5t0G48t7khNSaizZk1RnJbuFrM85qVfWZZt6X25yavCw8tZhvR2xe3Yvtbp9LaXXF1s3L8GJZ3Ndu31viojQGrru1vnUqZ4OVxr79hJibUunDVlHGKL0LpvH5wegDti1sV28xrHjXQq8Ukjo/0ep9ajwPzLlaa8MU6b2ubhIMSE7c4D01el679XLoWNy2dBTunC4YH0RKvGIeWBnx36ay0dSrvv9rdUlp1sszj2cSoVZ+e0VwcR97tKh2z55UoX+juuQyJWCzwRWIIhKIYW+3EsMx4nfQ0JS3NfonV2T7i/ZBbwB1Wy6inyWVDrcMKj9ue7mly2eCyW2AThDRPk9tuRbXTlvI0iXZpt92a9DSNmIurnEmL8kAgjCon22Tb5Qsm6xixS9e67WjyOg3bjaWeplqPHW6bFf5QNFVnrccOfygMKyyjniaXHV5H0qw+KBufRCIx4mlK7l9lBdxuR8rmrGZ/Pt07BF84ljJ8j6lywBaJpKzTojncZhVgswiIxBIYCkVT/QkEwoo+BgNhLkO5dHy8oqdpOJxmCQfY5nDR5SUdg1q3PdWO1GTtHlk/ooVb3kfR4G63CojGE4jGkuuhzmOH0yLAH4klPU2S8VGzrUs9TTUuGywAEgBslqSnqdppw3kSqzaQvDOpyx9MWrQTiZSnyWGzpBm0pcZ0edvZlEnHQb5OpOu0xpX0hynkpgbrNDtGrf0HhsOa5nmj25kx3qV495xYbua8Ftvdc2bHU46QETyHOBJxTJMYm9WM10xzNOsDV1eF85B+sJabkUf3Z3yIGSbkeplrZrRMYlGWmWwbRx5lobBEG7Qbj69zK758LpKblXsj7L6wxqdBWcYyR8txIo5pCrt5RH1sm9LbiQZCij6yynjHxxaJKCzhLHO4G3FcKItb2o7SzJ1u4Wb1sbfXj3p53L1+XKBYo+xr23ht66znvKk9KmTyRWxjuplorRPpOk1+Dvl8PDxrz6wY9fbTMs8b3a7SMXteifKDkqYMiFsEhCHgWPdg8rlUoRhq3UoTclBida7z2OGxWzEoMYd73fakhTqSQM9ZHxIA/IHRX4/OdflhEQTUj9h7O31BnAsncPR4L7wuO5w2CyKJOKqsVhzvHkR/QGmo7vQFcW44jMFgFFVOG7rPJA3O4q9eDoxacIfDyWd9DYUTOHqsFzUyE3XyF4MQ+gNJC7XHbk3rcybWYZaBV1omPo+t+4xv1IDusAIJAac+PpdmNu+NJPDRiT5UOZLL2mIFqqxWpr1b3q5aebVFSD3/T7SKe+1WRR98cQGdpwcwFI6hzm1PaQHk9bktFhzvHkQknkACCQiJ5PMIj3/UN9I3G+rc9tTa8QciafOgZiPXi1Eaq3QOq+1WhPoDo8/b09hXyuha7IPXbUOV3YqBQAhVTge6zvgwOFKXx26FV+X6IDEe6a9Xta7k5wjAqM3cYVV8tljrJ5Pt0sbNZUPUF0w7NalmlC8UWhZ+kXzbv9M+r04rYr4gguEYovFE6pmE4rzm0vpOxnMiH1DSZJCQICAUT6DLF2Sas0V77IneoZTVWc0I3dZcj/ZFM9HlD+GJPxxV2sOvbkEoGsPWXUfwz9dOYVqiv3P9DLT/9gP887VT8Q8//zN6BsOY39KAjYtm4ORIDHtl9d42dxKee+0EVv/NdEStFvxg5/vYfaQHz/6D0m7e1lyP+784E3aLBWuf3Y89HekW6rsWtGDi2OTz4+SWatE6rHZ9iJqBV7RkA8DWm2fj6b3HFWOz4upmBCNxfPVnf8bWmy/Dj3Z1KGK77/oZ+M7L72PXoe5U+f+Z3ohvX3+JwpY9v6UBDyyaiQf+7R38zwddAKRW8HTzeVtzPR5a3IqL6qtwpj+AE33DClP2tdMb8R1GO9dMG4eVn5uOTb/5ADfPmahYEwskNvm9sjbX3zAT/UNB/N3T6TbyBxbNxP0vvZvWT2mMaeMtmcOGageeX/4ZrH7xHcWcy/eVwjKti4b3b+84oDCGr7thBtxW5eMoWJbx0TFPn0/WWtIyXettJ66DtduV4yz2Xcsoz76sPbdoWfjrpdvk0f4tbc/jsOJHN18Gz1AY8QQ0j4+5ikGEjOdErqBrmgwQtQg4MRDEse4hTXP2w0tasXLbu6n3tYzQGxfPxMvvnVG1h1/fej5mXFCLTb85pGm3fnrf8TTL9fPLP6P4IpfWO/uiMXj75DmsWNAMj8OGbn9I1UStG+Os8QDAtFSLNl356RktA6/UWv32yXNpX2rSbb7Qej6avC5Ng/YnZeZurbmQb6+37XdvvBR/+LAb//HuaS7jubR89ohBm3c/sU3RGi+3ycv7KZaLZm/WeOvZx6VWcPFUXKcvyDSta8U9r7ke/7SgBdPPq0n7VZJlGdeqR2pmPts7iP93x/uqpmu97fTGedPSWWmfYa2xkY6PFDPL9Cz8W2+anexXHu3f8rFdsaAZ42uTY6J2fJTOjRnjY5bxPNuxKIVrmjrODmSkHKh22Crm7jkygpuMPxJHldOma872BaNp72sZkRu9Lk17eKPXBZvVomu3lluuq5xWXQuzaCG3WS2aJmrdGGucqpZqNZuuloFXaq1mJUziNk1el65BW27u1jNh65nWpdsOBCJorFG3wmuVGzGlS9sUrfFacUvLRbM3a7z1xu4cw82kZlrXinvPiMlcug7ULONa9UjXki8S1zRd622nN87yz7D8fdbY5BI9C3/PYDjv9m/52IpPMtA6Pppt1ybjOT/rf30Qq196z/BrMEwCVCl0es4A/mCUy5ztC/AboXlsyX6VRzqIiBZpqU1azywttjsYjMEixDT/AsnUcC7iD0ZQV5W+1LKxNUu34e0nb708NnMRv4YpW6/c6H4iakZwtf18GmZovbHzMWzRrDKt9qVtxSSWdjXLOK+VXs9krbed0c+w4v08m7R5jNV6PyKYbf+W18f7NAMz7dpkPCfyDSVNBqhx2RCKxXWt3fILX7XMwzy25BqNC2mBUYu01CatZ5YW2612WWG1WBDT+Pk1U8O5SNKmm35Iz8bWLN2Gt5+89fLYzEVqXHbVg7KeCd2IKV2KmhFcbT+vhhlab+y8DFs0q0yrfWlbHru+ZZxvLembrPW202tH6+J1QH0ccoUZxmqz7d/y+ng+s8n9zLNrk/GcyDd0es4ANXZL0sisY872umxp0jwtI3KXL6hqop3bXI8uXxDRWFzXbi23XA+FYrpWaNFCHo3FNU3UujH6Q6qWajWbrpaBV2qt1jOrd/nUTdVtDHO3li1bvr2eNbvWbVc1Zau1I5YbMaVL2xSt8VpxS8tFszdrvPXs42MYd2apmda14p43YjKXrgM1y7jWmEvXktdu0TRd622nN87yz7D8fdbY5BI9C39DtSPv9m/52IpPMtB6moHZdm0ynhP5hlaUAWzxBC70OnHF5HpVc/Z3l87CBWM8aVZnLfvyX13cgOXzJ7Pt4Ve3YHydG/+677iqJfq+hTOw7c2Pcd/CGVi17V0AyYPFhFq2EVu8e+6DEYv4BbXJ+ldtexf3LVTazdua63HF5ORdfvIvXfHuuaunjGNaqkXrMOvWXy0Dr2jJfmrvcdzWNok5NiuubsH5tW6s2vYu09w9d2RsPjg9kFZ++IyPacue39KA9sWtOHzGlypLWcFl7Yt3WI2vc+OqKeOYpuxDKu18cHoA37l+RsqgLd/v4IhNXs0IbrMICht5++JWRT/FGMWLlcXxlo7Tqm3vYv0N7Dl/SGYFF1EzrYuGd5YxfN2IyVy6DtQs42omdvlasiOhabrW205cB2p9v2CMR9MozxqbXKJn4Rf9Qvm0f8vH9qm9x3F+rRsXj6tSPT6abdcm4zmRbwp699yJEyewYcMGvPXWW6itrcUtt9yCr33ta8xt77zzTuzatSut7PHHH8fVV19tqE0z7mgQPU2ReCLlafK6lSbkv4zYqFNGaLs1zXRdK3qaRrw0oqdJtIfHEgmlp2lI9BfZ4bJZEInHUWWzIhxPYCCgNFTLPU0CAAiA226FwyLAEY+lLLiBcARetwNDKiZqm9uJLn8oZdF2260YK/GhqFmHAWMmZKnpu3rE0zQsMaAnPU3J6xlEszmQdAf5Q1F4HMl+WixAlc2KYCyhsHfL21Urr7YCsNvSXD5ehxXjJbfjDwyH0TcUTq6FcNJY3ljjZNbntiaVFdF4AvFEAgJGLdkehxVVDhvqPHYMBiKptSOdBzUbedRu14xROt7SOayyW2G3W0c9TRr7SudP7jeqciRN8x6nfeRasyhqRsq9EpM5Kx7R0ySa7M8bSUjEcfM4rGiSfbakd09ls528H2OqHGkJkZpRvlDWai0Lv0i+7d/Ssa1yWlHrdig8TV6X8vho9t2F2fTZ7HiA4rt77tAZY3fPWQUBAhJ095yMgp3wjcfjWL58OVpbW7F9+3acOHEC99xzD5qamrBw4ULF9kePHsXmzZtx5ZVXpspqa2sV2+UDSzwBt5DABMkAs0zILsRxgcJGrTSHWzgPwk1eF2yRCKYxzOMXyCZbNEeLd7Oo1alm1lbYzQMh5nbyXw+MWofV6pSXXcQYx09MYJm1xyq2u4Bh72YawVX6WC8ZQ7FM3odoIMS0qLPqGy+fq14/6s9PjzsaCCnWjljOspE36cQojVXRP4a9XY/RtTga9wRUjfRF3WTOE4/0GX7yMq39M9lO8fmQ/YKkZpQvFFoWfpF8278VdnrGr3Bac2NWDGQ81+bBnQcRiGjf/CFl45JWjLFZgApJmHgpWNLU09OD6dOnY/369aiursYnPvEJXHnllXjzzTcVSVM4HMapU6fQ2tqKcePGqdSYP6IWAf5IHB9L7LOA0m7sddkw1DuEoXAUg8FYypAc8wXhD0bTLNhyIhBwpNMPXzCCMW4HIvHkX+/VLhv6uwbRPxxGjdsGl82KoXACxz/qRX2VE6FYHL5A8jluof4A7BYBvUNhDIYiqK9yovusL/W+122HE6OW6OQvVTbYrRYcO96b+jXM47CiJ5LAsY/6UOWwosqZtFZr2Ymlz/SqG3n2XLLtKKpHjOcui4VpBBfHUsv0zGNGFkmry2lL/rrX6UcsnsBgKJoycXsgpH6Zk5rZc2kyVouzymHFYM9Q8nluLm3DcbaW6IHhMHyBCAbDsdQvRD1nfRBGfpa0WQR4GGtUHrPaWua1NZttdT7dH8CAzMBvlliRp9+Z7kt269yj9kQAnu3lxyOar8qiYElTY2MjHnnkEQBAIpHAW2+9hTfeeAPr1q1TbHvs2DEIgoAJEybkOUolAUHAWoaV98FFM3HmrB8/lAkl25rr8ZW5k3D3c/sxHI4ljddXXYzbfzZqdZabckXz75sn+/HDm2bj+698mFbn3OZ6fK1tMgaCEfx073HsH9nuB/+jbHv9DTPwDz//M9bdMEPx/jXTxuG+hTPwbYbp+7a5k3DnL9/Clptm49HfdyiM3PffMBMPv3wQ/yOxUIt24iGJSdnjsKpave9a0ALLQBBf+dc30saifdFMbPiPgykzt1i3aHrmMSOLyK3jHocVP/37Tyn6JJq4v/PC28w4J4714HyTTcZSWFZjcR5u+slr+NTEMUzDcbaWaEDAucEw1v/6ANMc/+xrJ3DznIl4/vWT2PDFmWlJh5rRXbGWOWzNZludpUZ+EfF6JOVjcI3B0+9M9+W1nBOZw5oDteMHoL42Ny2dhQSgOl+UNpUnRXEh+IIFC3DzzTdj9uzZ+OxnP6t4/9ixY6iursbKlSvR1taGG2+8EX/4wx/yHmfUImDtjgMKSeDuIz3Y19HDNHDv7ejF0/uO4/a2SQCSIrotv+9I/Vssu3fbuxgYDmNgOIxVL76LPR29uL1tkuIxG0BS7HhmIICn9ibfU9tub0cv1v/6ffzoy5cx358+vhZrtr+XljCJ9T+97zg2LZ2FrbLkQnx//a8PYJrsdNTuIz1Ys+N97O3oSbV1e9skPCVLmMQ6tuw6go7uQcVYrNn+nuKUyO6RMer0BZMHKcYcrNnxPgaGR29jHxgOY832A2kHtNvbJjH7dMn4Wqzd8Z5qnK9+2J1Wt5lEICgOvGLb4toR+x/B6K8SA8Nh3bFIbSOrW6xvIBzDOlnCJG37kvG1eHrfcUw735tao2Lb8rEFGGtZo22xL7zb8XK6P6BImIDk52Ht9vcQzOKwx9PvTPdNrW21ucrR+qsk1OaAdfwA1D+bu4/04NUPu5PHarV1Kxhbt0RpUBRJ0w9/+EM8/vjj+OCDD7Bx40bF+8eOHUMwGERbWxuefPJJ/PVf/zXuvPNOvPee8rEdeghC5i9/JK5qsW70ujTt1VJjs/zfwKgpN2luTn4ItazFTZL29OzGakZxrf32jRjGjdi2geQXgPTaGh6rN6/heveRHpwb0jcji7As2JmYuEXruVg361iYTZmW3Vq6VuSGYzMs0QkIuuZ48b9Sm7OW0X03Z9tiXzKxOmuN7UAgom37DrOv6+CZL55+Z7qv1toW6zZ77eWjrJji0ZoD+fED0P5sNtY4FX9wiuw+0gN/JJ7V9438VQjMjL8UXjwUhfmrtbUVABAKhfCtb30LK1euhMMx+uPm17/+ddx6662pC7+nTZuG999/Hy+88EJqX15Yd03w8vHJc6rvGbVms7aXW315TeK6FmUVuzGPxVkLHqt1pjZxPcO1GlLbMMsWnKmJOxSNp+oeO1a5hrIpG1L5EmfFNizZ1hRLtI75Wm4wF8fAjLbFvujVNcwYH62x1bN5qxmpeeaLp9+Z7suzti8eeSajVozFVlZM8RiZP0D7s6l3zBgOx4rqwvQHl7YaupvP67KjvpoeeSynoBeCv/3227j22mtTZc3NzYhEIhgcHMTYsaN35VgsFsWdcpMnT0ZHR/oDSnno7c38NtAqh7pB2ag1m7W93JTLaxLXtSir2I15LM5a8FitM7WJ6xmu1ZCOIcsWnKmJ22mzpOru6/MrDsbZlGmtK3lsHsm2pliidczXcoO5WKcZbYt90avLwxgfrbHVs3mrxcYzX0b6bXRfnrVt9trLR1kxxWN03WZzzPc4rOjp0b8TlZeGhuyUAzVIGLJWJYJh9AQr65QwzxgX7PTcqVOnsGLFCnR2dqbKDhw4gLFjx6YlTABw7733YvXq1Wllhw4dwuTJkw23m0hk/qqxW1Qt1l2+oKa9Wmpslv8bGDXlSg23WnbkTkl7eubqaCxu2D49d8QwbsS2DSQvau3yBdPa0LN68xqu57c0YEyVvhlZhGXBzsTELVrPxbpZSXc2ZVp2a+lakRuOzbBEC4CuOV78r9TmrGV0Z61l1jZiXzKxOmuNba3brm37Vvki5Jkvnn5nuq/W2hbrNnvt5aOsmOLRmgP58QPQ/mx2+UOa81Vjt2T1fSN/ZYuZsZTri4eCJU2tra2YMWMG1qxZg46ODvzhD3/A5s2b8Y//+I8AgO7ubgSDyS/fBQsWYOfOndixYwdOnDiBrVu34s0338Qtt9yS15ht8QTavziDaeWd29yAFQwzdNvIXUiixVlqvBaRmnKl5l/RJC6vc25zPc6vdeO2tqRlXG070SL9T798i/n+B6cH0L64lWnTvm3uJKza9i5WXN3MfH/9DTNxSGLPFsfhoUUzMbe5Id2GrmL1vmtBC5obqxVj8ZDMzC3WvWnpLDR5XbpmZBGWdfypvceTfZLFI5q4taznubqNWM1aPVeydliGYzMs0bUOC9bfMFPVHC+ayw+d8aXZnLWM7vK1rGdrNtvqPL7OrWr7bl/cChcy987w9DvTfcW1bcSsTxhDbQ5Yxw9A2zx/9ZRx2uvWjEyHKDoKagTv7OzEAw88gD/+8Y9wu9245ZZbcMcdd0AQBEydOhUbN27EkiVLAAD/9m//hieffBKnT59GS0sLVq9ejU9/+tOG2zTD0ip6mqT2WdH+LPc0ue3WlKdJNCQ77Vb4g9E0C/Z59ek3Qp/tHYQ/mjRZ10k8TVUuG+wWy4i/xwa3zYqhcAxDIx4m0dMkNY4nPU1RjK1yICx73xmLplmiRU9T31AIVU476kY8TWdH3FJSa3UgEFa1E7M8TUORWJrx3GUR4HHbFUbw8+qrdU3PPGZkQGkdrxrxNEXiiZSnSeyTR0ggbrelPE1inGOrGELIHJuV3Q4rXLakZVu0nqsZjrO1RNvczlFPUyiKaqcNFgGAAFggwGoR4LEo16ia0V2+Ha+t2WyTtXQNiut9fJ3bFCM0T78z3TcTs34xlxVbPKw50Dp+6Jnn1ear2IzgZsdTjhS1ERwAmpqasHXrVuZ7hw8fTvv3smXLsGzZsnyEpYstnsBYm5B2kZ+qTZr1OApvFRq96WVy7EigpUnt4MM4ODMs4fUjXpdxUuPxOKVZmxX35E+k1xcNhDBVZttWs1MDyb/25ZbpCefxtQ3om555zMgizHlhfDh6e/0YxzBr5+svfIVZub4KQJX2TsjeEs1et8ovD72Y1bbjtTWbbXUeX+eGMxZV2O3NgKffme5Lduvco/ZEAJ7tzXgSAlG6FMXdc6WGmhEcSH8mV63bhlB/AIFwLCNzsIj4bDOLBQiOmLmrnaPPV7NbLQj0DmEwEoU/GEOd244am6CIx+uyIeoLMh82KrYhCEAwmsBHH/VhjMeBcDyO4VAUNc7kvv5gBOeGk8Zqj4otW8u2yxsP77ho2cQHAmF4HDb0dvphs4w+wy9faJm69YznUQg40TOU+tWybuR5dlr9lsLaX1wTWkjtxtXO5HP/+gNhVDmsiPqCGBwx2Vc7bbBZBJz6+FyasTwECw6d8SXn123DGE/6s9yymRu9MQNG19dgKIKxVU5EYgmcONGHWo+DaWo2cz0S5UW5mb77o3HNZ89V0jPmsoGSJoOoGcE3LpqBkzIT9g9vmo2n9x1Mc8bwmoNFTvcH0P6fB/H/XDsFG/79fYWt+ra5k/D86yexfP5k1HkcuPOZ19EzGMYXWs/Dys9NY1qRH1rcioskv4CJbfzztVPwwM73R03k//OhYl+p3Zxly9ay7Q73DuFejnh4YLVz7fRG3Hf9JUkBKcOsvfHlD3D/F2dmZJg2ipqp+6FFM3Stz2f6AzjRH8SW33ekjdW10xvxnesvwbd1bNRq++utPTUr+VfbJqFvSMCTO9PXstRYvmDqOPy/GuutSqN+nrnhMWUPwoI1L7ytasiXG8aln1d5vEbXI1FemG2oLwbW/1r72XOpZ80RmtAIGUDLCP7xQCjtAKxm6eYxB4uIpuQll12IDTvfZ9qqRVvzlt914M2P+rBp6SwAwJLLLlS1Iq/Z/h46R+5wE423Sy67EA+MtKFlGJfazeW2bD3b7h6JKVwtHh7U2pl2vhert7+nataeOmK1NmqYNoqWqXvP0T5Ni3CnL4hXP+xWJDxAsn9rGP2TW7jV9tdae2pW7n0dvXh673GcGQgwzfTieliss96CsGhaz7XmRsvKLPan0xdMta+2fqWG8U5fUJEwSeM1sh6J8sJsQz1RXlDSZAAtI3iV05p2ANYyTMvNwWqIpuRGr1O1XdHWvKejB41eFxq9yb+D9Gze54aS7YvGW2kbenZsud1ctGXr2XbVTntI4+FBrR2euNUM02aiZbjWswifGwqjsYY9dzxrqmdQfX/pdkZi3jNibmchjqveevOFY7rWc7W50bIyi/05NxROta83Tr5IPG17VrxG1iNRXmRiqCcqBzo9ZwC/hrFXbs/WtXTrmGmBUXstr5k7FI2nttXbR7QPi32Sbp+J3ZzHAK1Vr54NOX3bzAzno1Zr/rYyQcs6rBejLxjN2FouzkEma0/PlKxnp9ddb5zmcdbc6M2XPxhBODa6+vT7H0VMZ7EaWY9EeaFvDae1UclQ0mSAGg1jr9yerWvp5jAmi/ZaXjO302ZJbau3j2gfFvsk3T4TuzlPf7Tq1bMhp2+bmeF81Gqd22WvZR3Wi9Hrsqkm1Lxrqk/nVxLWXOmZkvXs9LrrjdM8zpobvfmqcdkRiY0mSvrjZNO8IBYwth6J8kLfGk5ro5Kh03MG0DKCD4ViaTI9LUu33ByshmhK7vKFFDJGEdHWPK85aeLu8iVvm+3yhTStyGNG7uQSjbfJNvQN4yy7uWjL1rPtdqlcJyKNhwe1dvSs3qLVmmWYNhMtw7WeRXhMlQNdfraJXat/Ugu32v7S7YzEPG/E3M5CHFe99eZ1WHWt52pzo2VlFvszpsqRal/vs+e1W9K2Z8VrZD0S5UUmhvpSYP0Nl2DjklbVV7WDkkEeSnP2C4SWEXxCrQsPSSzEoqVbfmDmMQeLiKbk7W+dwn0LL1E1dx8648Nd1zTjU5PGYtW2dwEAL711StWK/NDi1tQ1KqLxdvtbp/CdhTMwr1ndRC63m8tt2Xq23TaJKVwtHh7U2jl0xoeHFreqmrUPj1itjRqmjaJl6p53cb2mRbjJ68JVU8bhLoZd/tAZH9oZ/ZNbuNX211p7albuuc31uK1tEs6vdataw5/aexzbddabC3FN67nW3GhZmcX+NHldqfbV1q/UMN7kTf+8yuMl7UDlYrahvlios1kwRuNFugE+CmoELwS5NILX19coPE01LjsC4VhG5mCxLN3TFIc/GEXViKdJsAAOqwV2QcBgJGkerx1x8pxXX63w0IypcijkjaLxdtTTFMdQMIo6T9JEPhyKodppRa3HAX8wgv7hpBXXrWLL1rLt8sbDMz5qZuVRF1AyTqslabUWXUD5shZrmbr1jOedvYMIJgQMhaMYDifntLHGmTLP69moWfuLa0IrbqnduGrE0zQQCMPtsMLrdmBwxGRfNeJpSv7/qAX5dO8QfOGYYn7lZmUjc8NjZRa3i9rtMk9THEOhZP9ZhnEz12MlmrXLJW5WebaGejKClx5FbwQvVdSM4ADQJDFKS63cqe0MmINF5DZauZlbzRLOjEflL2h5G9NYbXDasrVsu7zx8MBrE2cdIPOBlqlbz3huQwITG9LnVNyfx0bN2p9n7bHtxlWS+U+vb9KEdAuyE3FMOz/d/C6vP9O50RszIH19idtN1TA1m7keifKCTN8EC0qaMiQoWPDBGR98gUjyr3jGk9NH7cjS568l0H3GhwSA4XDy15wqi4AuXxB94l+8bhs8ditOnuyDy25FtcOGYDSefC6YzISsZnAWbd0A0DsURjSeQDyewEcnRmziggCbRUCVRdA1a0sNzAB0rczA6HO/tMZH3obXbUe1RjzFSq7NwTwm7HwwMBxOe7ZircumWItDsKDrjA/+kbmTG8GldfVFE+g960MsAQyGkr/01NjVLyiXjkONM2ko9wUi6A9oG+rV6uobCgOC+OttBF6XPSeG+lxQLGsiW3jHLBdjW2rHGaI4oKQpA4YFC9N83L64FRNHTMJS23BDtQO//NpnsG7n+7h5zkSFeG9eSwO+ftXF+OrP/ozhcCxV330LZ+BsfxAP7vlAYTbetHQWEoCqYfnebe9i682X4cndx/ClORcp2hRNz9VOG7Zsfz/NHcQya3scVjz1lU/jR7s60raVW5kB4ETvkO74AEqrd6oNWTxGLer5JNfmYB4Tdj4IQMCps35s2XVEsXY3LZ0FKwB/OIZ1vz6gagQXOd0fwH3/fgBfukK5LtWM3NJxULPtswz1LIYh4OHt7+Hua6Zgw3+8nzNDfa7WbbGsiWzhHbNcjC1rDIv5OEMUD3QhuEFCFgvW7GCbhNdufw+n+wMK2/CmpbOw4T/exyXja1Ut4Vt/35EybYv1bdj5Phx2gWk2fvXDbqZZWjQsb1o6C1t2HcG08V5mm6LpuaNrUCFbZJm1b2+bhC27jii2lVqZASAIZUIpHx+AbfVWa8OIRT2f5NocrFd/vsZjYDgpE5UnTEByblZtexd9gYgiYQJGDduhkUON2Kdp57PXJcvILTeCqxm/5YZ6tb6s2X4gadmXJUxq7fOMD8tQn4t1y2NHLwV4xywXY6s2hsV6nCGKC0qaDOIPxzRNwgOBiMI2LNqSjZi2xfqqnOwfA7XM0vs6ernaVDM9s/bhNZz7OMYHYFu9zbCo55Ncm4P16s/XePQMhtHodamvoyM9SAC6RnCxrj1HejTnWm7klhvB9T5HoqFerS97JJ8Pnvb10DLhmz1PPHb0UoB3zHIxtuUyhkbpj8ZxjvGKWCgNMAKdnjOIntk4KSZM/4VBtCUbNW1L9+XZ1qw2ecukiEJGvvFhW3fNsKjnk1ybg/Xrz894+IIR/bnRmXefbN55zOipumXjyLOm1caG17JvhqFexMx54rGjlwK8Y5aLsS2XMTSK2gN76UG9xqCkySB6ZuMal11xUka0JRs1bUv35dnWrDZ5y6SIlmme8QHY1l0zLOr5JNfmYP368zMeXpdd3zKuM+9e2bzzmNFTdcvGkWdNq40Nr2XfDEO9iJnzxGNHLwV4xywXY1suY0gUBkovDVLjsGqahGvddoVtWLQlGzFti/UNhdh/FWmZpec216PLF0rVqdammumZZZ7mNZx7OcYHYFu9zbCo55Ncm4P16s/XeOhZxue1NEAAdI3gYl3zWxo051pu5JYbwfU+R6KhXq0v80YM+GYZwbVM+GbPE48dvRTgHbNcjG25jCFRGChpMogzHkf7IrZJuH1xK8bXuRW24VXb3sV3rp+BD04PME3F81oasOLqlpRpW6zvvoUzEI4kFG3Nb2nA1VPGaRqWV217F3ctaMGhMz5mm6LpubmxWnFQYpm1n9p7HHctaGFarqWWaRfiqmZocXwAttVbrQ0jFvV8kmtzsF79+RqPWo8D8y4eq2oZ/+7SWRjrtmP9DTNVDdtOxFN1Pbx0Fg6rrEuWkVtuBFez7csN9Wp9eWjRjKQB//oZOTXU52Ld8tjRSwHeMcvF2KqNYbEeZ4jigozgGRKyWOCXmL69DisukN8mLbEj13ps8NisGIrEgARGPU1uB6qsgMVuG/U0uWzwOKzoGwrBKfE0DYWiChOymsHZZbeOSvuGwojFE4jFExgKJ23iViFpYq6yAC63Q9OsLTUwA9C1MtfX16Q8TVrjw7J6V1vV45HvWyzW4mzNwTxGeJ4xN2sstAzsoqcp2VcbzpOtxYFABEMjnwuvy64wgkvHrMsfRCIhIJZIYDAURY3LBq/divGMdSI3glc5k4ZyXyCSsourGerV+iIa8AMjlv1cGerNmgO1sSjkmsj2s8U7ZrkYW+kY5mK+is0IfssTf6RrmnQgI3gOcSXiuFBiPmbZlll2ZNUPnNeFRtnB+qKL0q3cYrn04KhlcJb+tSbuO+18pemb16zNqk/tr7Lxde4034majZrVNo/xupjItTmYx4SdD9TmSvp+NBDCRRpGcPm2rM8CT/tGDPU8fZHWmSn5XLfFsiayhXfMcjG2pXacyZZvL7wEcUkSZxUECEgkH9RLz53jhpKmPDBqng2jzu1A1xkfBkNR1LrtaKpJKhDTnoHlTv7FzaqnL5pAb6cf8UQCw6EoakeM4tnYbXn3TXuunseGapsVRzr9KSNzldMGF5Q28RpX8hew7jO+kefmjW4rN6Gz+l1sRCDgaNdgarwaDFz/YhbyZ6ZFfUG4bBZdS7R8rt0WC451D2IgoN4XM4znamM22o+RXxod2Zm+WZD5mSCAB3em3z2X+oWJEiZDUNKUY0Tz7JsnzuGHN83G9377ocKo/OCimbj/pXex61B3qlxuJtayKM9racA/Xd2M2//1jZRRnNduy2vbHYQFa154G/s6eiVGZqVl/O4FLQhDwJoRm7jHYcXWm2fj6b3H03wr4vUnAoK47V/TTeiZGJnzxen+AFZtP5DWl/ktDWhfNAPsy4rNR2qbF2lrrsf6G2biS0/8MeWZkVuiWXPd1lyPr8ydhLuf24/hcEzRFzOM52pj9oBs3XscVjz9lU9j664jzLWiZ/pmkU9TN0EQ5Q+dyMwhUvOsmsV4z5EerN3+Hi4ZX5tWLjUT61mU9xzpwZZdR9KM4jx2W17bbqcvmGb51jIybx0xekvtzU/JEiZx2y27juBo95DChG7UyJwvUoZuhqF9zY7382ISDsGiSJiA5Lit//UBbFo6Ky0ucR7V5nrviEFenANpX8wwnmuNmXzdjxrhjZu+1drOl6mbIIjKgJKmHCI1z+oZkOU2cLH83FCYy6LMMorr2W15bbtyw7kRy/jsCXXYqxFzk9fFNKEbMTLnCy1D9548mYT1jOuN3vTff8R51Jpr+drZI90nS+O5Vh3yda+3VrRM36ptl5BhniCI4odOz+UQqXk2EzM3kDQT261CxnVo2W35rbzGjcyZbJseW3Y27VxQDIZuvRhYpmt/MKIrP5DPA88+PMZzvXiNrhUjY1wM80UQRHlBSVMOkZpnMzFzA0kzsd1qybgOLbstv5XXuJE5k23TYyu+pVkMhm69GFima5645PPAsw+P8VwvXqNrxcgYF8N8EUSxsP6G9Lvn6K65zKDTczlEap7VMyDLbeBi+ZgqB5dFmWUU17Pb8tp25YZzPct4l+R6pP0f92OeRsydviDThG7EyJwvtAzd8/JkEtYzrnf5Qmll4jxqzbV87cyT7JOt8VyrDvm611srWqZvtbbzZeomiGKnzmbBGMnLTglTRmSUNG3dupX5+tGPfoQnnngCO3bsQG8v+1qCSkJqnhUtxiyjcvviVnxweiCtXGom1rMoz2tpwF0L0o3iPHZbXttuk9eVZvnWMjKvWNCCtuaGdHtz2yTMa1aay+9a0IKLx1UrTOhGjcz5QpwHlhX9oUUz8+LKcSKeZpsXEe+eW7Xt3bS4xHlUm+u2EYO8OAfSvphhPNcaM/m6f2rvcaxgGOF5TN9qbefL1E0QRGWQ0TmQ48eP4+WXX8Z5552HmTNnIpFI4IMPPsDp06fxyU9+En6/Hw8++CCefPJJfPKTnzQ55NJifJ0bW26anfI0PfDFmQhF40lPk8uOJq8T0UAIDy2Zlebd8TrSzcjj69z43rJL0eUPYv3CGYjFExgOx1DrTpps3W4Hdq5oS7fbctxS7UEiFZ/WvtWI41/+9pOjnia3DZsWt2I4Gk8ZmascNriEBJrqq9LqrHbZ0L54JobDsVFP08i2gt2Gl+78K9V+Fxvj69zYvGgGhmJIjVdDdVLUmC8uqq9KmwvRZO2yWfCr5VeqWqJZc+22CgjGE3j2a3OYfRHXr5rxnAetMRtd96Oepu8tu1TX9M0L7/omCILgIeMLR2688UasX78eVmvyGop4PI729nYMDw9j48aNePzxx/Hwww/j+eefNy3YUkVhMpZbwgMhNDHsxqx61CzK2dhtefdlxXhBE9vozKpTbopWM6EXO3YkcHGjrN95TJqA9LmQmqz1LNGseRk/TrsvZhjP1caMtabqvVUZm75ZVJr5mSCI3JFR0rRr1y689NJLqYQJACwWC2655RYsWbIEGzduxBe+8AU8/vjjpgVaTEQtAvyROD6WGJLlDAyH0RNJ4NhHfahyWFHjtMFqtcAXTuD4R32or3IgEks+C45lb1YzKMvNzADgiwvoPD2AoXAMdW47GmuU2sFOXxDnwgkcPd4Hr9uGMZ7kLxO9kQROfXwOdR4HwiN3J3kcNvR2+mGzCKhXaZf1JaZmjhbLT5zog8dpg0UQYLMI8FSYmVnL6J4NEQg41j2IaDyRqle0hA8Gozm1xLNika9b6VqR1qtmLc8mxnzZv8kynhlmzr9e/TQvRC7IKGlqaGjAn//8Z0yaNCmt/M0330RdXR0AoKenB9XV1Yy9S5uAIGCtjhH6dH8Aq158F3s6kn6ahmoHnl/+Gazb/h72n+zHD2+ajR/8T7oZXGpvZhmUWdbva6c34t7PT8e6Xx9QGMIfksTDMkjPa07Wt+K5t/Dw0ln47n8fVti9v9Y2Gd3+ELbu6kj1RRqrNDVjmaP/z/RGfOf6S7B2R7pgcO7IdTTPv34SG744syLMzHpG90wN1af7A7hv50F8ac7EVL2jxvaDGbWTqUVbzfwtrhUtu7jRvqvFmKkZ34y2yTKujZnzz4LmRZv+aFxx9xxdDG6cjC4Ev+uuu7Bhwwbce++9+OUvf4lnnnkGq1evxoYNG/BP//RPOH78OFatWoUvfOELZsdbUKIWIZkAaBihB4bDaQkTAGxaOgvrfv0+9nX0qtq0Rctypy/INCizrN/TzvcqEiZxWzGeTl+QaZDe09GDLb8/gk1LZ6navc8MBEYMzdpGaDVz9NTzvVi9/T1F+b4RC/W0870VYWbmMbpnMg6pesfXptWrZZ83yxKvFgvrs3HvtncRgkXTLm6W6TsTM74RyDKeGdKnI0jJZP5Z0Lzos/7XB7H6pfdSr8Fw8bnwSoGMkqYbbrgBTz/9NCKRCJ5//nm8+OKLiEQi+PnPf44bb7wRfr8ft9xyC1auXGl2vAXFH4mrGobTLMqyJKPR60x9gWnZtHcf6cG5IXWDstzcrGnmHolHbvOW1yeNTU6T16VqaJYaodWszzwG80owM/MY3TMZB7V6s2knU4u2rj08HNN83yzTdyZmfCOQZTwzpE9HkGPGuNG8EPki4wvBP/WpT+FTn/oU871Zs2Zh1qxZzPdKGT0DsppFWWpp1rMe65mwjRiU/cEIwjHt28JZBmn++pOxqpmXeW3g5W5mFseHZ77MqDebdjK1aOvtZ6ad24hlPJP6s2m73NdypvAcO7OB5oXIFxklTZFIBDt27MB7772HaDSKRCL9i3njxo2mBFds6BmQ1QzDUkuznvVYz4RtxKBc47IjEtP+AmUZpPnrT8aqZl7mtYGXu5lZHB+e+TKj3mzaydSirbefmXZuI5bxTOrPpu1yX8uZkumxkxeaFyJfZHR6bu3atWhvb8e5c+cUCVM5U2O3qBqGtSzKXb5QSkaoZdOe39KAMVXqBmW5uXn/x/2qdmgxHrnNW15fly+kGk+nL6hqaJYaodWsz1rxiX2pBDMzj9E9k3FQqzebdjK1aOvawx1WzffNMn1nYsY3AlnGM0P6dAQ5ZowbzQuRLzJKml555RX86Ec/wpYtW7Bx40bFq1yxxRNo/+IMTSM0y4C8atu7WH/DDLQ116uawUXLcpPXxTQos6zfh874sP6GmUxDuBhPk9fFNEjPa07Wt2rbu8x45jbX4/xaN9PQLDdCq5mjD5/x4aHFrYpy8e65Q2d8FWFm5jG6ZzIOYr2HZPWqGdvNtMSrxaK2VpyIa9rFzTJ9Z2LGNwJZxjND+nQEKZnMPwuaF32+vfASPLC4NfVy2K2IWOhJakYREhn8VDR//nw89dRTaG5uzqrxEydOYMOGDXjrrbdQW1uLW265BV/72teY2x48eBDr1q3Dhx9+iObmZtx///2YOXOm4TZ7evzI9scx0dMkNSTLpZMDw2Gc9QXhD0bhcVhR47DBarPAF4hgMBRNeZqGw1Gmvfls76DCoAxAYWYGgL6hMAKRWMoQ3ljjVMTT6QsyDdKdviCCkRhq3Q6EY/FUvFaLAKvE06RmhJb3mbWdWD4YiqXV7bEA59WnaynkdearLB/tDAyH0eUPAhAURneecVArP9s7iOE4EIsnUvXWuKzwuh0YDEbTTdic421zO5UWbY59WetWulZEj46atdzI2LJidLsdGcVtRtu5Xsu5qDPfny0z59/MeclFv834rpEybpwyZiPc8sQfEYikX8O6cUkrxuiczq8keMY4o2ua7rzzTrS3t+Pb3/42Jk6cCJvNeDXxeBzLly9Ha2srtm/fjhMnTuCee+5BU1MTFi5cmLbt8PAwli9fjoULF+Lhhx/Gc889hzvuuAOvvPIKPB5PJl3ICls8gbE2Ic2QrGZRnnre2LRyZyyKaeenl7GMxyyDMgCmmTkaCGHS+Nr0OmXxNHldsEUiirajgRDqZfWxDgA8Rmg1c7RaeaWZmbWM7tlgRwKT5VbvEUt4kze9zEismVi01dYtq95cmL7zZf8my3hmmDn/evWLbRCEmWSUNP3kJz9BV1cXrr/+eub7H3zwgW4dPT09mD59OtavX4/q6mp84hOfwJVXXok333xTkTS9/PLLcDqdWLlyJQRBwNq1a7F792785je/wZIlSzLpQlZELQJ8kTiOH+9DldOKaqcNwajS1K1m0U7+4hBCfyCCKocVVXYrt705BAsOnfElfzFy2zDW40BcxR4uRc3WrYX816moL6h4kO7AcBj9wxEMhaMYDsdQ7bSh96wPEACbYMG5QBhelx01tlGnk9QIHPUFMRSKYiBgjsFXWn+t2w6XxaI6Nvm2B2cyB/I4qxxW+LoH0TsURrUraXYXP8Q886WG1r68cettVwhbdy6s06z2MplX3rrJcE0QxUNGSdPDDz+cdcONjY145JFHAACJRAJvvfUW3njjDaxbt06x7TvvvIPLL78cgpA8YAiCgMsuuwxvv/123pMmlhG8rbkeX5k7CXc/tx/D4RjTTCyeu49CwJpn96dcTh6HFT/9+0/h0d93KAzgcpOt3Oytti/TUK5i4lU+cIXdltjPhxa34qKRB+oGIODUWT+27DqisInfNncSnn3tBG6eMxG3/vR1/NXF9biPYQdnjV2mBl+pEXjUip0ueRTHJtwfwErZmOTSHpzJHKjtJ47v3z31Oi67qA4bF7diiGO+1FCb642LW2G1KqWUvEZ4qe05X7bmXFunjbSnNa+Z1k2Ga4IoLBmdzLziiis0X0ZZsGABbr75ZsyePRuf/exnFe93d3ejsbExray+vh5nz57NJPyMUTOC7x0xXIsmYpaZePeRHrz6YXfSWiuRX97eNglbZUmPWIfUZMsye6vtqzCUa5h4Rau3lBAsTIv43o5erNn+Hjp9QQwMJ2Vy8oQJGDV+XzJiqr69bRKmqdjBWWOXqR1bagTWMq+v2fE+Xv2wO2/24EzmQGu/fZIx29vRi78MBHTnSw2tud7b0ZO02+vErde/Tl8wL7bmXFun5WQ6rzyo9YUM1wRRWLiTpmuuuQbnzp0DkExyrrnmGtWXUX74wx/i8ccfxwcffMC8+y4QCMDhSP+52+FwIBw2fuAQhMxfWkZwuYmYZSZurHEq9ue1N7PM3jxGcF1Tc0TpcfKFY6r17u3oxbmhZL2NXpeu8Vv8L48dXBqX1OArML575GVyI7De2LAeapxp23plmcyBIGjvJx2zKqdNd77UYtSa60avS2G3Z8Wt179zQ/y25mzGm9c6zdo3k7YznVeeMiMGbTPWaC7Lii2efMZo5itXmB1nKb944D49t2LFClRVJX/mv+uuuzKaHDVaW1sBAKFQCN/61rewcuXKtCTJ6XQqEqRwOAyXi+96DSmsuyZ4+fjkOc339czMLFMxr72ZZQrn2Vfv5g3x9KEUPSu5LxiF3SpwG7/1tmNtIzX4jh2rnDN5mdwIzBsbC6Nt65Xp2YpZczB2bA1OcK43Lat7sv2oaoxac603hmLc+jZwfht0NuM9xBhHVjusfTNpO9N55Snj7YuROgtVVmzx5CvGbL5rcsGDS1sVd/N5XXbUV2d7Irmy4E6aFi9enPr/v/zlL/jqV78Ktzv9vPrg4CC2bt3KVV9PTw/efvttXHvttamy5uZmRCIRDA4OYuzY0bu8mpqa0NPTo9hffsqOh97ezG8DrXKo27MBfTMzy1TMa29mmcLNMEx7GH3Ss5J7XTbYrRb0DWn/0ifGpxcnaxtp7H19fsVBSV4mNwLz2shZGG1br0zPVsyag74+P7f5WsvqDozOJytGrbnWG0Mxbn0bOL8NOpvx1vt8iu2w9s2k7Uzn1cy+ZBJ3vsuKLZ58xZjNdw2LhobskrAaJBR/RCeCYfQE6VSvCM8Yc5+eO3bsGN544w288cYb+NGPfoR9+/al/i2+/v3f/x3PP/88V32nTp3CihUr0NnZmSo7cOAAxo4dm5YwAcCll16K/fv3p+zj4oXjl156KW/4KRKJzF9aRnC5iZhlJu7yhxT789qbWWZvrX21DOXS+kWrtxSvw6pq8m5rrseYqmS9XX51m7jYf/G/PHZwaVxSgy/rwCMvkxuB9camyx9ivpdJ23plmcxBIqG9n3TMhkJR3flSi1Frrrt8QU3Lsp4RXtxuTBW/rTmb8ea1Tqt9keVrXnnKjBi0zVijuSwrtnjyGaOZr2wxO55yfPHAnTR1dXXh1ltvxa233opEIoEVK1ak/i2+vve97+Hv//7vueprbW3FjBkzsGbNGnR0dOAPf/gDNm/ejH/8x38EkLz4OxhMXsD6uc99Dj6fD+3t7ejo6EB7ezsCgQA+//nP84ZvCmpG8LaRu5lEEzHLTDy/pQFXTxmHhxal7//U3uNYcXUz5jVrm2xZZu/UvhyGcjUTr51xAs+JONMiLt6NJQrp5l08FnctaGHaxG+bOwkHTw+kxuWQih2cNXaZ2rGlRmA1K7Y4NldNGZc3e3Amc6C131zJmLU11+OCWrfufKmhNddtzcn49OLW61+T15UXW3OurdNyMp1XHtT6QoZrgigsGRnBFyxYgBdffFHxi5BROjs78cADD+CPf/wj3G43brnlFtxxxx0QBAFTp07Fxo0bU0qBd999F+vWrcPRo0cxdepU3H///bjkkksMt2mWEdwXicMXiMLjtKLGaUMwGsNwKKZp7xbNyDa3E13+EAYCSSuux26F22nTtTcDwOneIfjCsZRPZ2yVA/FIVGFhZhnKeazewKjckmURl34Bi32RepqqnDZYBQEJIQG7YEF/IIyaEU/TefXVCiNwrceBoVAUvoA5ZmWpEdjrtsNlERCIJZhjI40lH1bnTOZA3E+M0+2wwmG1JD1NzuSc2CIR7vnKZK5541bbjjU3uRzvTKzT2bSd6bwa7Uu+zOOVaDLPRZ3FZgQ3O55yJGdG8F27dqm+19XVxX2tUVNTk+o1UIcPH07796xZs7B9+3b+IHOILZ5AvU3A1EmjSWNvrx9TmsakbRcIhGG1WJIXjEquzGdZa6MAIrE4wrEEIvE44lb2NQ1OxHF+rQtuezJROdE3jFqXDU1eFy5uHD2YqhnK9azeQPJ2Z6kQcmpTdTLRkP1iEYGAfol474I6N9N4DSQfryGtc1JDFbPO3l5/VkI/1tiOlxmq5WOTAKB3d7hcMDnYM4T+QBjVLrZMVC023jmQ7ydNPurrqzFp3Oj7Z3ujONY9iGg8AQiAzQJYR/pzrHtQUxzKM9di3E3eKvQPR/CX/gA6ugdRX+VA71k/BkbGpMppQ63dginnedPaEOWPQ0NDqbkXkwoW2Qodc22dZrWXybzy1k2Ga/MZGA6jdyiMaDyBeCKB4VAUNU5bzkWoROmTUdJ07NgxfO9730NHRwdiseRdHolEAuFwGH19fTh48KCpQZYip/sDWCWTYMqlkyKDsGDNC29ziQnVhJJmSe944zbSPyPbFlKCqNaOlmDypp+8hk9NHMPsSz443R/AfTsP4ktzJiq8VHriUCPzIl13+0/2Y+vNs/HIKx+m7Tu3uR53LWhB3GrF+dI2DMgf8zX/ROUyDAH3/9s7+NIVFzHlt7kSoRaa/mgc8QRQ7bDBHte/o5lgk5Hc8jvf+Q76+vrw1a9+FT09Pbj99tvxuc99DoODg2hvbzc7xpIjJb3TkE6KJMV/fGJCLaGkGdI73riN9M/otoWUILLaUdtWKphk9SUfiGM7bUQiylpDauJQo/MiXXe3tyWvp5Lvu29km1c/7M5IrJqv+ScqF3GNTTvfqyq/Lde1tv7XB7H6pfcwGNZWgBDaZJQ0vffee1i3bh3+7//9v7jkkkswefJkrFy5EmvXrsWLL75odowlh5b0bo9MTMeSVopIxYRivVpCSbn0LldxG+mf4W1z1DcpRsSBWttKBZPyvuQDcWwzEYcanRfpups9oQ57NdprrHFmJFbN1/wTlYu4xnilwgQhJ6OkyWazoaYmeZ3I5MmTUw/o/au/+ivFtUiViJ70Tiqm4xFJSuvllWFmAm/cxvqXm22zwW9Atqi3rXQ+zIqPF3G8jIo8/cGI4XmR1sHTHl8b6WObr/knKhfezwytNUKNjJKm2bNn46c//SmCwSBmzpyJXbt2IZFI4MCBA4rHnVQietI7qZiORyQprdcMoaV6W3xxG+tfbrbNhhoDskW9baXzYVZ8vIjjZVTkWeOyG54XaR087fG1kT62+Zp/onLh/czQWiPUyChpWr16Nfbu3Ytnn30WX/ziF9Hb24srrrgC99xzD7785S+bHWPJoSW9E6WTIixppYhUTCjWqyWUlEvvchW3kf4Z3ZZXgpgNRsSBWttKBZPyvuQDcWy1RJ5q4lCj8yJdd/s/7sc8jfa6/KGMxKr5mn+ichHXGK9UmCDkGE6aBgcHccEFF+C3v/0tbrrpJng8Hmzbtg2bN2/GL37xC5w4cSIXcZYUovROSzop0uR1oZ1TTKgllDRDescbt5H+Gd22kBJEVjtq20oFk6y+5ANxbA+d8eG2uZMUa0JLHGp0XqTr7qm9x3Fb2ySFkFW8e+7qKeMyEqvma/6JykVcY4dVPjO5EqEWA+tvuAQbl7Si2pHRTfPECNyjd/bsWdx777147bXXAADz58/Hd7/7XbjdbjidThw9ehSPPvoobDaaEAAYX+fG5kUzmNJJOdWI41/+9pNpckGvw4rxMt0AALiRwPTzavDQotaUULLGZcN5MoFfruM20j8j23qQwJabZiuFfibfAjy+zs3djnxbt8MKl82KgUAYO1e0qfYlH4yvc+PB66djOA6sXzgDsXgCw+EYqp2j4tBnvzaH2T8j8yJfd8FIDBsWzUAkmoBvRCJZ5bDBJSTQJGtjy02zVeWPcvI1/0Tl4kEC31t2KXqHworPjFyEWk7U2SxJuSXpBrKCO8PZsGED/vKXv+C73/0u7HY7nnjiCWzcuBHf+MY3cOedd+LQoUO48cYb8Y1vfCOX8ZYUdiRwsY5YUaTJ61LYm9VgCe/M/KDzxm2kf0a2zZfQz0g7SsFkFYDRpFatL/nAjgQmy0y2vb1+pjiUtW8281J/nrJd1n5G5I8kdCRyjXyNAfkRoRKlD3fS9Oabb+KRRx7BlVdeCQC45JJLsHjxYhw6dAiJRAK/+tWv0NramrNAixnReHzy5Dl43aOGaJ4y8UPKsiBLy2rddlQ5bRhQ2V8N+eMxhnuTJusqJ7s+IzG6LZY047TUjC1uOxiKoM7jQNBg3Fpja+TAJjdea9m7oxBwomcIQ+EohsIx1LrtsFsEnPr4XMr8bfZBVa1/8ljq3HY01jhT+2RjzC4ERubBLLJdO0RhKMT6prVC8MKdNPl8Plx88cWpf1900UWIRCK44IIL8Mgjj8Bur8y7DeTGY4/Diqe+8mn8aFcH9nSolwGj9tk4BKxmWJD/6epm3P6vbwAAfnjTbFV7LcusDAAne4ewWibObGuux30LZ+BUXwA/3nNUYRUX2xwOx1JtbFo6C1GGqVlunE5eDzMjNSZvnjiHH940G9/978OG4lYbWyP7pvbnNF6f6Q/gRH8QW37fkRar3PzN2zYPav17cNFMnB0I4v/b1aGYnwcXzcQD//YO/ueDrrTyYjZmG5kHU9vMYu0QhaEQRnhaK4QRuC8ETyQSsMqeh2a1WnHXXXdVbMLEMh7f3jYJW3YdSUuOWGXAqH12T0cv04K8ZdcR3N42Cbe3TdK018rNygAQgkWRMAFJYeaGne/DYReYVnGxTWkbr37YzTQ1y43Tu4/0YM/RPqx6MTkmmcQtYtQmrbo/p/H61Q+7FQkToDR/87TNg1b/1m5/Dx3dQ8z5+fb29zDtfK+ivFgtxkbmwfQ2M1w7RGEohBGe1gphlIyUA1KqqpQXK1cKLOMxyzSrZ59tlF17IiLanPX2l5uVAcAXjmmaxquc7B8Z5QZpAGiscaqamuXbJ7dNjkkmcYsYtUkb2Z9pvK5xclm1edrmQTO+jt6069vk78nnR4yrGC3GRuYhH22aNX+E+RTCCF9Ja6U/Gse5kVfEkvVXf8Vi6Fa3//qv/0J1dXXq3/F4HL/97W9RX5/+I/uiRYtMCa7YYRmMWaZZo8ZmI/sCbGu1nl15MBjjbtNI/EbM0Vq2baM2aeP7qxuvWaSbv7N/dpNefJmsiWK0GBfC8p3t2iEKA62V3LL+1wcRiCSP+xuXtGKMjuCTYMOdNI0fPx5PPfVUWll9fT1++ctfppUJglAxSRPLYMwyzRo1NhvZF2Bbq/XsytUuq+p78jaNxG/EHK1l2zZqkza+f7rxum9I+6/YdPN39loNvfgyWRPFaDEuhOU727VDFAZaK0QpwL0idu3alcs4ShLReLxb8vOuaJqVnuphlYnMb2lAl599i7fU5qy1v9ysDABehxVtzfXMB6u2NddjKMT+C0pukAaALn8I81oamD9jy7fv8odSY6LXb1bcIqyx5d1Xb3+W8fr1j/pUY5X2kadtHjTja65Hpy/I3G8eY37EuIrRYmxkHvLRplnzR5iPaOtmHWdytb5prRBGoRWRBSzj8VN7j+OuBS1ppmVWGTB6Z9q8i8cyLch3LWjBU3uPJw3McycprOFqZmUAcCKOh1RM4/ctnIFwJKF4T9qmtI2rp4xjmprlxun5LQ2Yd3F9akzEuNWsu6y4RYzapNX25zVeXzVlHNO0Ljd/87TNg1b/2he3ormxmml9f3BxKw6f8SnKi9VibGQezG4z07VDFIZCGOFprRBGERKJREWtip4eP8zosSAADQ1Jsd/AcFhhPAbAVSaakW1up8KC7HY7UmVe0dM0HGbuX1/PkBvW16R5mmpcNlQ7kiZrj5Ndn5EY3VYBwXgCvkC6Tbq+viblWhkKRVDrdiAYjSFgIG4R1tjy7gsAZ3sHmcZr+XYA0Nk7iGBCSJnWvS477FYB/mAEVU7jbWfTP3kstSOepmggxFwr59VXG247X2UA/zzkY2zVYiymMSvVGM2IuxDrO9vjDKvMrO8akXHjlONqhFue+CNd06QDzxjTCVsTUDMe85aJdbAs3/K/rmyRCLdZGUg3jYsm6wkSkzWrPiMxjpebqEds0mx7NH/c0jaN2KTlGDFe25DAxAblwXnShMza5kGtf6xYgGTspWjMNjIPZpHt2iEKQyHWdyWslXU3zID4G0m1w0aPU8kQSppMRmqzrXZYYRsOpxm1WZbwvmgCvZ1+xBMJDIeiqPU4SsLybJRiN1kXwlqdL9SMx+XcZzOg8Sk/WHNajKe2zUZAAnXir0uUMGUMJU0momaW3bR0FhIA0xz+5O5j+NKcixQSyGK3PBulEKZfIxTCWp0vtMzjG3YexP8c6k4rL4c+m0E5r4lKRW1Oyf5N8EInNU0iAkHVLPvqh90pS7aIaAmfNt7LtGYXs+XZKIUw/RqhENbqfKFlPF6z/T1MG1+rLC/xPptBOa+JSkVrTsn+TfBCSZNJ+CJxVbOs1JItItqy9azZxWh5NkohTL9GKIS1Ol9o9W2vil281PtsBuW8JiqVSrJ/E7mDkiaT0DLHalnC9a3ZxWd5NkohTL9GKPb4siFT83gp99kMynlNVCqVZP8mcgclTSahZY7VsoTrW7OLz/JslEKYfo1Q7PFlQ6bm8VLusxmU85qoVMj+TZgBJU0m4bVbFII0EdGSLUW0ZYv/ZVGslmejiKZfFsXQR9EKzCJX1up8odW3NhW7eKn32QzKeU1UKlpzWgn27yoHJYVmUN6rJI/YkVA1y149ZZyqOfzQGR/Tml3MlmejFML0a4RCWKvzhZbx+KHFrTgks4uXQ5/NoJzXRKWiNaeVYP+2k2bAFCj1NJHxdW5suWl2ymbrcVjR5HWlDrBbbpqtsM7+y7JL0eUPYv3CGYjFEyn7c5UVOK8IbsU3Cw8SaWOTMv0WSR/H17mxedEMprW61BHXJct4/OD107H689PLrs9mUM5rolJRm1PR/k0QelDSZDJSm61o9Za+p2YJZ2n5y41iN1kXwlqdL9TWXjn32QxofMoP1pwSBC+UNJmMUSO49D0jtmytdsqBQvav3Mc2X9A4EmZAVnaimKCkyUTUzMsPL50FAcBKFVt41KAtW6udYrBrZ0sh+1fuY5svaBwJMyArO1Fs0IXgJqFlBL9327t49cNuVVu4EVu2XjulbiouZP/KfWzzhZaFnMaR4IWs7OYSsdDXvRnQKJqElhF895EeNNawn2yUtIXz27L12il1U3Eh+1fuY5sv9MzLNI4ED2RlN5ehMMk7zYCSJpPQs8mqmZeNGsH12il1U3Eh+1fuY5svyKZNmAGtI6IYoaTJJPRssmrmZaNGcL12St1UXMj+lfvY5guyaRNmQOuIKEYoaTIJLSP4/JYGdPnZtyl3+UOGbNl67ZS6qbiQ/Sv3sc0XeuZlGkeCB7KyE8UIJU0moWUE37R0Fq6aMk7VFm7Elq3XTqnf0l3I/pX72OYLLQs5jSPBC1nZiWKElAMmkokRXDTRGrFl67VT6hSyf+U+tvmCxpEwA7Kym4fbYQNi9CiVbClo0tTZ2Yn29nb86U9/gtPpxN/8zd/gnnvugdOpvNPszjvvxK5du9LKHn/8cVx99dX5CpeLTIzg8v3EfTNtpxwoZP/KfWzzBY0jYQZkZTeHQDgKh5VOLmVLwZKmRCKBu+++G16vF7/85S8xMDCANWvWwGKxYNWqVYrtjx49is2bN+PKK69MldXW1uYz5LwjGpUHAmF4nDZYBAEWJFTNypViYBbN6idO9KXGxWYR4NGxqJcSEQg40ulHfyCCKocVVU4b6tx04StRfpTqcatU4yayo2BJ07Fjx/D2229j3759aGhInrO+++67sWnTJkXSFA6HcerUKbS2tmLcuHGFCDfvDDMs4XOb63Hb3EnY9JvDuP+LM9PMypViYGb1UxyX518/iQ2ycSlFWBbkuc31uGtBCy6sZfu+CKIUKdXjVqnGTWRPwX6rGzduHJ588slUwiQyODio2PbYsWMQBAETJkzIV3gFZWA4zLSE7+voxdP7jmPq+d40s3KlmKzVTNPiuEyTjUspMjAcxqoXlRbkfR292LLrCPYc7Svp/hGESKket0o1bsIcCpY0eb1ezJs3L/XveDyOZ555Bp/5zGcU2x47dgzV1dVYuXIl2tracOONN+IPf/hDRu0Kgnkveb2stjIp6xkMq1rC93X0YvaEujSzMq/J2swYjZSZVaeWIZg1LoWIMduy5Nyr97GxxqkwIRdD3FplxRYPxZjfMrXyYjpuGdnWSNy5+r7JFLNjKrcXD0Vz99zmzZtx8OBBvPjii4r3jh07hmAwiLa2NixfvhyvvPIK7rzzTvzqV79Ca2uroXbq62v0N8qAsWOV9WZapmfCFS3iohF3KBzT3F7czswYjZSZVafRcSlEjNmW8fRRbkIuhri1yootHooxv2Vq5cV03DKyLW/cufquyZSx1S6MrabT+9lSFEnT5s2b8bOf/Qw/+MEPMGXKFMX7X//613HrrbemLvyeNm0a3n//fbzwwguGk6beXj8SiexjFoT0D0Vfn1/xAcu0TM+EK1rERSNulcOqub24nZkxGikzq06j41KIGLMt4+mj3IRcDHFrlRVbPBRjccRdTMctI9vyxm3Wd41IQ0N2SVgiFEZPkE4dasEzxgW///CBBx7A008/jc2bN+Ozn/0scxuLxaK4lFvvSwAAKFdJREFUU27y5Mno7Ow03F4iYd5LXi+rrUzKGqodqpbwuc312P9xf5pZmddkbWaMRsrMqlPLEMwal0LEmG2ZXh+7/CGFCbkY4tYqK7Z4KMb8lqmVF9Nxy8i2RuLO1fdNJpgdTzm+eCho0rR161Y8//zz+P73v48vfOELqtvde++9WL16dVrZoUOHMHny5FyHWBBqPQ6mJVy8S+zwGV+aWblSTNZqpmlxXA7JxqUUUbMgi3fPzbu4vqT7RxAipXrcKtW4CXMo2Om5o0eP4tFHH8Xy5ctx+eWXo7u7O/XeuHHj0N3djZqaGrhcLixYsAD33HMP5syZg9mzZ2Pnzp148803sWHDhkKFn3M8SKSMygOBpFHZahEAJPC9ZZcqPpiVYmAW+9npC2IwFEuNi9Ui4MHrp6ta1EsJ0YLsjyZSc1/lsKHOYycTMlFWlOpxq1TjJrKnYEnT7373O8RiMTz22GN47LHH0t47fPgw2trasHHjRixZsgTXXXcd1q1bh8ceewynT59GS0sLnnzySVx44YUFij4/yC3hgLZZuVIMzGpmdT2LeilhRwItTcrz62RCJsqNUj1ulWrcRHYULGlavnw5li9frvr+4cOH0/69bNkyLFu2LNdhlTT5NtRGIOBo1yB8wQi8bjsaqsrzoCEdV6/bjqoCm8dzGY9oWz958lxqTnOxhrTaGRgOo8sfStnQPfbkWgZQlAbmYhgzgtAjYrHARs+ey5qiuHuOyJ58G2pZ1ur5LQ1oXzQD9aa3VjhYZvZ5I9cuFML8m8t4tNaQmTcqa7UTh4DVz+5Pc1WJ13NZBOArT7+B4ZFbvovBwFwMY0Y3kRM8DIWjqKVnz2UNjWAZkG9DbcrMLRNw7j7SgzU73i8bI66amX1Pgcy/uYxHzbYurqEIzPk1S6+dPR29CrmnaEPv6BrE7W2TFPsUar0Vy5iZ1Q5BEPpQ0lQG8BpqzULLzL0nB+0VCi0zey7GtZDxaM3p7iM98EXM+Vlfr51Gr4v53r6OXjR5XZg9oU6xT6HWW7GMmVntEAShD52eKwP8wajO+9qWaaPoWavNbq9QFFs/cxmPft3aa8ysdkSru5H3CrXeimXMzGqHIAh9KGkqA2pc2tMoN0hni5612uz2CkWx9TOX8ejXbc6hgtfqbuS9Qq23Yhkzs9ohCEIfOj1XBvAaas1Cy1o9LwftFQotM3suxrWQ8WjN6fyWBnjt5hwq9Nrp8rOVCnOb69HpC2L/x/2KfQq13oplzMxqhyAIfejTVgbk21CrZq2e39KAhxbNLJvboNXM7PMKZP7NZTxqtnVxDdlhwnMcONqZd/FYVRt6c2M1ntp7XLFPodZbsYyZWe0Q5U2Vg36RNAMaxTIh34Za0Vo9FEteU1LjsqOh2lF2xmqpmV3sZ5UVBTOP5zIeqW19OBxLzWmtx2GqOFSvna03zUaXP5SyobvtVowdcYDtXNFWVAbmYhkzgtDDHo9Tem0ClDSVEfk21NqRwMWN6dbqcjRWy83shf6SymU8arZ1s9Fqh9U/8d/FaGAuhjEjCCI/UNJEpJEr6zCvPbzcLePZ9M/o3PCYw6MQ8FHPIIbCMQyHYvC6baixWzPqWzlS7uuRIAhjUNJEpMiVdZjXHl7ulvFs+md0bnjM4Wf6AzjRH8SW33dgnySmec0NaF88ExfVV2XUz3Kh3NcjQRDGoQvBCQC5sw7z2sPL3TKeTf+Mzg2POXxgOIxXD3crEiYA2NPRg7Xb30OnL5hJV8uCcl+PBEFkBiVNBIDcWYd57eHlbhnPpn9G54bHHN4zGEaj16lImFIxdfTi3FBpj3k2lPt6JCqPiIW+7s2ATs8RAHJnHea1WBebfdtssumf0bnhaSsBbft2sp7KNU2X+3okKg96YK85UNJEAMiddZjXYl1s9m2zyaZ/RueGt60+nV+SvBVsmi739UgQRGZQ2kkAyJ11mNceXu6W8Wz6Z3RueMzhDdUOdPlDmNvMvqR5XnM9xlTwnWLlvh4JgsgMSpoIALmzDvPaw8vdMp5N/4zODY85vNbjwFVTxuGuBS2KxCl591wrmryuTLpaFpT7eiQIIjMq9/d3QkGurMO89vByt4xn0z+jc8NjDj+/zg1LLIb2RTNTnqYatw1euxXjK1w3AJT/eiQIwjiUNBFp5Mo6zGsPL3fLeDb9Mzo3POZwGxL4RIMsHnosR4pyX49E5VDlsAGxzO6CJkahpKmMkBqgqx1W2IbDdBqhxOGxeheyPnmdZqy7XMSYS3Jl0ScIM6Fnz5kDJU1lgpYxenyBHi5LZAdrTuVWbyPwWMLNiDGbdZeLGHNJriz6BEEUJ3QheBkQgaBpjCZ7cemhNqd7MpxTHku4WTFmuu5yEWMuyZVFnyCI4oWSpjLAF4lrGqPJXlx6mD2nPJbwcowxl+TKok8QRPFCSVMZoGfrJntx6WH2nObCcF0KMeaSXFn0CYIoXihpKgP0bN1kLy49zJ7TXBiuSyHGXJIriz5BEMULJU1lgNdu0TRGk7249DB7Tnks4eUYYy7JlUWfIIjihT7VZYAdCU1jNN3+XHqozem8DOeUxxJuVoyZrrtcxJhLcmXRJwiieKHfj8sE0RgtGqA9DiuavK6i+6Ih+JHPKcvqbQQeS3i2MWa77nIRYy7JlUWfIIjihJKmMkJqgO7t9VPCVAbwWL0LWZ+8TjPWXS5izCW5sugTBFF8UNKUY0rNblwMdPqCODcUhi8YhXfkWWj5otLmKwIBR7sGU/1tqKJEmyAIQg1KmnJIqdmNi4FBWLDmhbexT+LraWuux0OLW3FRjh8iW2nzdbo/gFXbD6S5kea3NKB90QzUFzAugiCIYoUuBM8RpWY3LgY6fUGs2f5eWsIEAHs7erFm+3vo9AVz1nalzVfKZi0b691HerBmx/tl11+CIAgzoKQpR5Sa3bgYODcUViRMIns7enFuKHdjVmnzpWWz3lOG/SUIgjADSppyRKnZjYsBn45BWe/97NqurPmqtP4SBEGYASVNOaLU7MbFgFfHoKz3fnZtV9Z8VVp/CYIgzICSphxRanbjYmBMlQNtzexLkNua6zEmh3d2Vdp8adms55VhfwmCIMyAkqYcUWp242KgyetC++JWReIk3j3X5HXlrO1Kmy/RZi1PFOe3NOChRTPLrr8EUelELPR1bwYFVQ50dnaivb0df/rTn+B0OvE3f/M3uOeee+B0OhXbHjx4EOvWrcOHH36I5uZm3H///Zg5c2YBouan1OzGxUA14viXv/3kqKfJZYPXYcX4HOsGgMqbr/F1bmxeNANDMaT621CdFDUSBFFeDIWjqLVS4pQtBUuaEokE7r77bni9Xvzyl7/EwMAA1qxZA4vFglWrVqVtOzw8jOXLl2PhwoV4+OGH8dxzz+GOO+7AK6+8Ao/HU6Ae8FFqduNioMnrSvtVKZ9jVmnzZUcCFzfWpJX1UtJEEATBpGBJ07Fjx/D2229j3759aGhIniK4++67sWnTJkXS9PLLL8PpdGLlypUQBAFr167F7t278Zvf/AZLliwpRPhly8BwGL2RBE6ePJcyROfrVI3Y9okTffA4bbAIAmwWAR4DVu5sjd48NvJis2gXWzwEQRDlSsGSpnHjxuHJJ59MJUwig4ODim3feecdXH755RCE5BegIAi47LLL8Pbbb1PSZCKn+wNJ4aHE3zO/pQEPL50F5QnT3Lc9t7ket82dhOdfP4kNX5ypa+XO1ujNYyMvNot2scVDEARRzhTsBKfX68W8efNS/47H43jmmWfwmc98RrFtd3c3Ghsb08rq6+tx9uzZnMdZKaQM0TLh4e4RI3YEuXsGm1rb+zp68fS+45h2vlfXyp2t0ZvHRl5sFu1ii4cgCKLcKZqrwjZv3oyDBw/iG9/4huK9QCAAhyP9lIPD4UA4bPxLQRDMe8nrZbVlZlku29EyRO8+0gNfJJ5xG9m0va+jF7Mn1Cms3PL6jBi9WbHw2MiNWrRzPf+FjqcY1q1ZZcUWT6nGWKpx56qdXH3fZIrZMZXbi4eieGDv5s2b8bOf/Qw/+MEPMGXKFMX7TqdTkSCFw2G4XMZvQa+vr9HfKAPGjlXWa3ZZLtvRM0QPh2MZt5Ft26FoMmGTWqrl9RkxXLNi4bGR263anyq5RTvX82/U6p2PNZrvdUsxFn9ZscWTrxhz9V2TKWOrXRhbnesLLcqfgidNDzzwAJ577jls3rwZn/3sZ5nbNDU1oacn/S/qnp4exSk7Hnp7/UgkMgo1DUFI/1D09fkVHxyzy3LZjp4h2uNQXhBtVtx6bTttyR9EpZZqeX1GDNesWHhs5Had23XlFu1cz79Rq3c+1mi+1y3FWPxlxRZPvmI067tGpKEhuyQsEQqjJ0in7LXgGeOCnp7bunUrnn/+eXz/+9/HF77wBdXtLr30Uuzfvx+JkRWYSCTw1ltv4dJLLzXcZiJh3kteL6stM8ty2Y6WIXp+SwO8duVSMSturbbnNtdj/8f9Ciu3vD4jRm9WLDw2cqMW7VzPf6HjKYZ1a1ZZscVTqjGWaty5aidX3zeZYHY85fjioWBJ09GjR/Hoo4/iH/7hH3D55Zeju7s79QKSF38Hg0EAwOc+9zn4fD60t7ejo6MD7e3tCAQC+PznP1+o8MsO0RAt/xKeP3L3mR0mfGoNti3ePXfojE/Xyp2t0ZvHRl5sFu1ii4cgCKLcKdjpud/97neIxWJ47LHH8Nhjj6W9d/jwYbS1tWHjxo1YsmQJqqur8eMf/xjr1q3DCy+8gKlTp+KJJ54oerFlqTG+zo0tN81Gpy+I4XAsZYiu9ThyLnmUtj0YisHjsMJqEWC1CHjw+ulcVu5sjd48NvJis2gXWzwEQRDlTMGSpuXLl2P58uWq7x8+fDjt37NmzcL27dtzHVbFU+tJfuFOOW9M0bRtJGHL1ujNYyMvNot2scVDEARRrhT8QvByQ2qkrnZYYRsOp77EB4bD8MUFdJ4ewFA4hjq3HY01dDcDUR4U0iafCdna4wmCqDwoaTIRNaP2pqWzAAAn+oaxZdeRNB/QvJYGPET2ZqLE0bLJ89jY8w0rXiP2eIIgKpOikVuWOhEIqkbtVz/sxquHuxUJE5CUEJK9mShl9Gzyxba21T6rvPZ4giAqF0qaTMIXiavamRtrnGj0OlWN0yx7M0GUCno2+WJb21qf1WKMlyCI4oGSJpPwaxilQ9F4ymqtvr+23ZkgihWjZvJCo/VZTb5fXPESBFE80DVNJlGjYZQWjdba+2vbnQmiWOEzk+fO82UUrc9q8n36LBIEwYZ+aTIJr92iamfu8ofQ5Q9hropxmmVvJohSQc8mX2xrW+uzWozxEgRRPFDSZBJ2JFSN2ldPGYerpozDXQtaFInTPLI3EyWOnk2+2Na22meV1x5PEETlQqfnTES0WotGao/Dmnr8BpB86O2DX5yJQCSG4XAMtSOeJrI3E6WOlk2+GJF/Vo3a4wmCqEwoaTIZqZG6t9ef9qUhGq8nja9N24fszUQ5UEibfCZka48nCKLyoKSpSKgUO7GWMZ0oHDQvbCIQcLRrMPW5bKgqzjGplOMHQRQaSpqKgGEIWPPc/rK3E5eaNbpSoHlhc7o/gFXbD2CPxK82v6UB7UVm8K+U4wdBFAN0IXiBGRgOY832A2VvJ9YyppdTP0sNmhc2Kcu5TEi7u8gM/pVy/CCIYoGSpgLTMxhWHJhFyslOTBbm4oTmhY2W5byYDP6VcvwgiGKBkqYCU2o25UwhC3NxQvPCplQ+l6USJ0GUC5Q0FRg+m3LpQxbm4oTmhU2pfC5LJU6CKBcoaSowDdUOzKsAOzFZmIsTmhc2WpbzYjL4V8rxgyCKBUqaCkytx4GHFs0oezuxljG9nPpZatC8sBEt5/KEZH6RGfwr5fhBEMUCKQeKAA8SFWEn1jOmE4WB5oXN+Do3Ni+agaEYUp/LhmpH0Rn8K+X4QRDFACVNRQKPnXhgOIy+aAK9nX7EEwkMh6Ko9ThKSmSnZUwnMsMMAaN0Xs72DqJnMIxjPUO69ZW7VNGOBC5urEkrK0aDP9nNCSI/UNJUIpzuD+C+fz+AL11xEZ7edxz7JLcZk8iucjFbwGikPpIqEgRRadA1TSWAKNqbdr5XkTABJLKrVMwWMBqpj6SKBEFUIpQ0lQCiaG/2hDpFwiRCIrvKw2wBo5H6SKpIEEQlQklTCSAK7ELRuOZ2JLKrLMwWGxqpj6SKBEFUIpQ0lQCiwM5p054uEtlVFmaLDY3UR1JFgiAqEUqaSgBRtLf/437MbWZf3ksiu8rDbAGjkfpIqkgQRCVCSVMJIIr2Dp/x4ba5kxSJE4nsKhOzBYxG6iOpIkEQlQgpB0qE8XVufG/ZpejyB7F+4QzE4gkMh2OodZPIrpIxW8BopD6SKhIEUWlQ0lRC1HqSX1719TLZHonsKhqzBYxG6iOpIkEQlQQlTURekFurq502+KIJnDx5LmWdruRTOuVu1iYIgigHKGkicg7LMt3WXI+vzJ2Eu5/bj+FwDPNbGvDw0llwFjDOQkFmbYIgiNKALgQncoqaZXpvRy+e3ncct7dNApAUIt677V1EUFm/sJBZmyAIonSgpInIKVqW6X0dvZg9oS71791HeuCLaAs8yw0yaxMEQZQOlDQROUXPHC23nPuD0VyGU3SQWZsgCKJ0oKSJyCl65mi55bzGVVmX2ZFZmyAIonSgpInIKVqW6bnN9dj/cX/q3/NbGuC1V9aSJLM2QRBE6VBZ31BE3lGzTLc11+O2uZPw1N7jAJIJwqals2BHohBhFgwyaxMEQZQOlXUuhCgILMt0tcsGXyCMZ782J2WdrvU4KlKOSGZtgiCI0qAokqZwOIwlS5bgO9/5DubMmcPc5s4778SuXbvSyh5//HFcffXV+QiRyBKWZdoWiaClaUyBIiouyKxNEARR/BQ8aQqFQvjmN7+JI0eOaG539OhRbN68GVdeeWWqrLa2NtfhlRVyK3dDVX5P/ZD1miAIgihlCpo0dXR04Jvf/CYSCe3rWMLhME6dOoXW1laMGzcuT9GVFywr9/yWBrQvmoH6PLRP1muCIAii1CnoheCvv/465syZg1/96lea2x07dgyCIGDChAl5iqy8ULNy7z7SgzU73s+5dZqs1wRBEEQ5UNBfmm6++Wau7Y4dO4bq6mqsXLkSr7/+Os477zzcdddd+Ou//mvDbQomnRGS18Oq1+yyTPfXsnLvGbFOS6+nMTtuHuu12H4+xtHMsc1nWbHFU05xF1s8pRpjqcadz3YKRbHFU6oICb1zY3li6tSp+PnPf868EHzr1q34yU9+gnXr1uGSSy7BK6+8gsceewy/+tWv0NraWoBoS4v9J89h8aP/q/r+jq//FT55Ue4uyC50+wRBEARhBgW/EJyHr3/967j11ltTF35PmzYN77//Pl544QXDSVNvrx9mpImCANTXj94N1tfnx9ix6XeHmV2W6f5GrdNmx22k/XyMo5ljSzGWR9zFFk+pxliqceeiTrO+a0QaGpQxG8HseMoRnjEuCbmlxWJR3Ck3efJkdHZ2Gq4rkTDvJa+X1ZaZZZnur2XlnsewTpsdtxHrdT7G0cyxzWdZscVTTnEXWzylGmOpxp2rdnL1fZMJZsdTji8eSiJpuvfee7F69eq0skOHDmHy5MkFiqi0ULNyz29pwEOLZubcOk3Wa4IgCKIcKNrTc93d3aipqYHL5cKCBQtwzz33YM6cOZg9ezZ27tyJN998Exs2bCh0mCUDy8rdUO1ANBDKS/tkvSYIgiBKnaJNmtra2rBx40YsWbIE1113HdatW4fHHnsMp0+fRktLC5588klceOGFhQ6zpGBZuXvzlDQBZL0mCIIgSpuiSZoOHz6s+e9ly5Zh2bJl+QyJIIgcMTAcRm8kgZMnz6Xs9Gafps1HGwRBVBZFkzQRBFEZnO4PJGWrEnfY/JYGPLx0Fpwl1AZBEJVHSVwIThBEeZCy08tkq7tH7PARZG/gy0cbBEFUJpQ0EQSRN7Ts9LuP9MAXiZdEGwRBVCaUNBEEkTd8wYjm+/5gtCTaIAiiMqGkiSCIvKFvh8/+Mst8tEEQRGVCSRNBEHlDy04/v6UBXnv2h6R8tEEQRGVCRw+CIPKGaKeXJzXzR+zwdmT/vIh8tEEQRGVCv1MTBJFXxte5seWm2ej0BTEcjqXs9LUeh2nC03y0QRBE5UFJE0EQeafWk3yEz5TzxpR0GwRBVBZ0eo4gCIIgCIIDSpoIgiAIgiA4oKSJIAiCIAiCA0qaCIIgCIIgOKCkiSAIgiAIggNKmgiCIAiCIDigpIkgCIIgCIIDSpoIgiAIgiA4oKSJIAiCIAiCA0qaCIIgCIIgOKDHqJQoA8Nh9AyG4QtGUO2wwjYcRq3HUeiwCIIgCKJsoaSpBDndH8Cqbe9iz5GeVNn8lgY8vHQWxte5CxgZQRAEQZQvdHquxIhAUCRMALD7SA/u3fYuBobDBYqMIAiCIMobSppKDF8krkiYRHYf6UHPICVNBEEQBJELKGkqMfzBqM77kTxFQhAEQRCVBSVNJUaNS/sytBqXPU+REARBEERlQUlTieG1WzC/pYH53vyWBjRU0x10BEEQBJELKGkqMexI4OGlsxSJ0/yWBmxaOou0AwRBEASRI0g5UIKMr3Njy02z0TMYhj8YgcdhRZPXRQkTQRAEQeQQSppKlFqPI5Uk9fb6KWEiCIIgiBxDp+cIgiAIgiA4oKSJIAiCIAiCA0qaCIIgCIIgOKCkiSAIgiAIggNKmgiCIAiCIDigpIkgCIIgCIIDSpoIgiAIgiA4oKSJIAiCIAiCg6JImsLhMK6//nq89tprqtscPHgQy5Ytw6WXXoqlS5fiwIEDeYyQIAiCIEqXiKUovu5LnoKPYigUwj333IMjR46objM8PIzly5fjU5/6FF566SXMnj0bd9xxB4aHh/MYKUEQBEGUJkPhaKFDKAsK+hiVjo4OfPOb30QikdDc7uWXX4bT6cTKlSshCALWrl2L3bt34ze/+Q2WLFmSp2j5GBgOo2cwDF8wgmqHFVFfEEOhKAYCEXjddlRZhKzq7o0kcPLkOXjddjRUOVQfnxKBgKNdg/AFk+1WO23wRfn2VeuLbTisu4+8XZ52zEQac7bjnQ+MzGmxMzAchi8uoPP0AIbCMdS57WiscWbUn0zWHkEQRK4paNL0+uuvY86cOfjGN76BT37yk6rbvfPOO7j88sshCMkvQEEQcNlll+Htt98uqqTpdH8Aq7a9iz1HelJlbc31+MrcSbj7uf0YDscwr6UBm5bOwvg6d9Z1z29pwMNLZ8HJ2nb7Aezp6FWNQ21fnvbUYme1q9eOmQxDwJrn9qfFnOl45wMjc1rsnOkP4ETfMLbsOoJ9kvkXx99IfzJZewRBEPmgoKfnbr75ZqxZswZut/aBsLu7G42NjWll9fX1OHv2bC7DM0QEguJADwB7O3rx9L7juL1tEgBgz5Ee3LvtXQwMh7nrHhgOM+vePVJXBIJyW8kXFysO1r56fdmtEbtau1rtmMnAcBhrth9QxJzJeOcDI3Na7AwMh/Hqh92KhAkYHX/e/mSy9giCIPJFwa9p4iEQCMDhSP9p3uFwIBw2fgAVBPNeUnyRuOJAL7KvoxezJ9Sl/r37SA96Bkdjl9clL+sZDKvWvftID3yRONe2rDik+/L0RRp7pjGK6PXbSFnPYFiRsLFiVqvP7Hj0yjIZr3zHyFvWMxhGY41TkTCJGJn/TNZepnGbuX8+yootnnKKO1ft5Or7JlPMjqncXjwU9PQcL06nU5EghcNhuFwuw3XV19eYFVYaQ+GY5vuhaPqXhj8YSf3/2LHKmKRlPsm2LIYlbettK49jmBG3Xl/E2DONUUSv30bK9NrXG2+z49Ery2S88h0jb5kvGFGsKzm885/J2uOJUa8sF3VWYoylGncu6szVd02mjK12YWx1qZ34Lz5KImlqampCT0/6X589PT2KU3Y89Pb6oXPdOReCkP6hqHJYNbd32tJ/1Ktx2VP/39fnV3zopGVeybYsPJK29baVx+FhxK3XFzH2TGMU0eu3kTK99vXG2+x49MoyGa98x2ikL31D2r/68s5/JmvPjL7kos5KjLFU485FnWZ914g0NGSXhCVCYfQE6fS2FjxjXBKn5y699FLs378/dZddIpHAW2+9hUsvvdRwXYmEeS8pXrsF81samG3Oba7H/o/7U/+e39KAhurR042sD5a0rKHaoVr3/JYGeO0Wrm1ZcUj35emLNPZMYxTR67eRsoZqB+ZxxKxWn9nx6JVlMl75jpG3rKHagS5/CHOb65Ubwdj8Z7L2Mo3bzP3zUVZs8ZRT3LlqJ1ffN5lgdjzl+OKhaJOm7u5uBINBAMDnPvc5+Hw+tLe3o6OjA+3t7QgEAvj85z9f4ChHsSOBh5fOUhzw25rrcdvcSXhq73EAo3cTGbl9utbjYNY9f6QuOxKKbeUJhDwO1r56fZmvEbtau1rtmEmtx4GHFs1QxJzJeOcDI3Na7NR6HLhqyjjctaBFkTjNM9ifTNYeQRBEvija03NtbW3YuHEjlixZgurqavz4xz/GunXr8MILL2Dq1Kl44okn4PF4Ch1mGuPr3Nhy02z0DIbhD0bgcVhR63FgKBTFs1+bgxqXHVVW4LwMbpsW6+70BTEcjqHGZUdDddLp09vrV2y7edEMDMWS14DUuOyodtngC4RTcajtq9WXJq9L80uL1a5eO2biQSIt5mzGOx8YmdNi5/w6NzwOKx784kwEIjEMh2OolXiajPQnk7VHEASRD4omaTp8+LDmv2fNmoXt27fnM6SMqPWMygl7e/2o96ZfrJ7Nl2Gtx4FoIIQp543R3daOBC5uTD8/a4tE0NKkv6+0PWlfeL60WO3mE2nMQHbjnQ+MzGmxI/Zl0vhaU+oyuvYIgiByTdGeniMIgiAIgigmKGkiCIIgCILggJImgiAIgiAIDihpIgiCIAiC4ICSJoIgCIIgCA4oaSIIgiAIguCAkiaCIAiCIAgOKGkiCIIgCILggJImgiAIgiAIDihpIgiCIAiC4ICSJoIgCIIgCA4oaSIIgiAIguCAkiaCIAiCIAgObIUOIN8IQm7qYdVrdlm+2qnEuIstnlKNsVTjLrZ4SjXGUo07n+0QpY2QSCQShQ6CIAiCIAii2KHTcwRBEARBEBxQ0kQQBEEQBMEBJU0EQRAEQRAcUNJEEARBEATBASVNBEEQBEEQHFDSRBAEQRAEwQElTQRBEARBEBxQ0kQQBEEQBMFBxRnBeXjppZewevXqQodBEARBVBherxevvfYaLBb6TaMYoVlhEIvFUv9fVVWFCy+8sIDREARBEKWO1WrFxIkTcckll8DlcgFA6r8XXnghnnjiCVRVVSEajeK5554rZKiEBpQ0yXjrrbewfv16OJ1OAMDQ0BDcbneBoyIIgiBKGZfLhQceeADhcBh2ux2CICASiQAAHn30Ufzud7/D9OnTcccdd2Dnzp0FjpZQg5ImGZs2bcL06dNx3XXXAQCqq6tx6tQpuN1uCIIAj8cDYPQvBIIgCIIQ+cQnPsEsv+666zBnzhx8/vOfR01NDRKJBOLxOACgr68PL730ElatWgVBEDA4OJjHiAkjUNIk4Y9//CP6+vrwzDPPwGZLXu41NDSEUCiEQCCA6urqVHkwGITVai1kuARBEEQBEL8HWHz00UfM8h07dmDWrFn48Y9/jEWLFgEA7HY7AOCFF17AZz7zGUyZMiX1/0RxQknTCKFQCOvWrcN9992n+BXJarVi2bJl8Pv98Pl8AABBENKufSIIgiAqg/Hjxxvex2q1IpFIQBAEPPnkkwCAsWPHAgB27dqFL3/5y7j33nsxNDSEO+64w9R4CfOgpGmErVu3YubMmZg3b15aeSKRgNVqxbZt21LXOQFInaaTIv3lSRCE3AVLEETRQp/98ufkyZNp/5b+8sS6600QBESjUYTDYYRCIYTDYQDAmDFjAABOpxP/8R//gVdffRWPPvooxo0bl8PoiWwQEolEotBBFAMLFixAT09PKvEJhUKpX5KcTicEQUAwGEzbRxAE0PAR+YDWWulgsVhS16oQhBbi57qhoQHDw8P48Y9/jCuuuKLQYREa0C9NI/ziF7/Azp07sWPHDuzYsQOXX345gOSF4D/96U8V57BdLlfqS0zr/DZBmAElTKUDJUy544ILLih0CFnxzW9+M/X/VVVVmDp1KgBgYGAAP/nJTyhhKgHo234E+YdRPGcdCoWwatUqxd0M0l+dotFo7gMkCIKocP7yl78UOgQFvL8s2u12bNu2DW63G4FAADNnzkRXVxcAYOnSpZg4cSK6u7sBJC/1EK93IooLSppUEK9LGD9+PE6cOFHgaAiCIIhihPeXxUgkgo8++ih1F3ZjYyM+/PBDAMDzzz+P559/PrXtBRdcgF27duUkXiI76JomgiAIgiAIDuiaJoIgCIIgCA4oaSIIgiAIguCAkiaCIAiCIAgOKGkiCIIgCILggJImgiAIgiAIDihpIgiCIAiC4ICSJoIgCIIgCA4oaSIIgiAIguCAkiaCIJhEIhFs2bIF11xzDWbOnImrrroKGzduTD1SaMGCBXjppZcKHCVBEET+ICM4QRBMNm7ciP/93//FmjVrMGHCBHz88cdob2/HhRdeiMcffxx9fX3weDxwuVyFDpUgCCIvUNJEEASTK664Ag899BCuvfbaVNmf//xnfPnLX8aePXvQ2NhYwOgIgiDyD52eIwiCiSAI+NOf/pT2QNLZs2fjP//zPzFmzJjU6blTp05h6tSpitett94KAAiHw3jwwQcxZ84czJkzB9/61rfQ399foF4RBEFkDiVNBEEw+bu/+zv84he/wIIFC7Bu3Tr893//N4LBIJqbm2G321PbnX/++di7d2/q9fTTT8Nut+O2224DAHz/+9/HgQMH8JOf/AQ///nPMTg4iH/+538uVLcIgiAyhk7PEQShyq9//Ws8++yzeOeddxCPx1FVVYW1a9di6dKlWLBgAVasWIElS5akth8cHMTSpUtxzTXXYOXKlQgEAvj0pz+Nbdu2YerUqQAAn8+HOXPmYMeOHakygiCIUsBW6AAIgihebrjhBtxwww04d+4c9u7di2eeeQZr165VTXZWr16N+vp63HPPPQCAjz/+GJFIBF/60pfStovH4/joo48oaSIIoqSgpIkgCAWHDh3Cjh07cO+99wIAxowZg4ULF+Kzn/0srrvuOvzpT39S7PPkk0/iz3/+M3bs2AGbLXloicViAIBnn30WHo8nbfv6+voc94IgCMJc6JomgiAUxGIxPP300zh48GBaucPhgMvlwtixY9PKX3vtNTzyyCP43ve+h6amplT5hAkTYLVa0d/fj4kTJ2LixImorq7Gxo0b0dvbm5e+EARBmAUlTQRBKJgxYwauuuoqfP3rX8fOnTtx6tQpvP3221i3bh3C4TCuu+661LadnZ245557cNttt2H69Ono7u5Ovaqrq7Fs2TKsX78er732Gjo6OrBy5UqcOHECF154YQF7SBAEYRy6EJwgCCaBQACPP/44fvOb3+D06dPweDxoa2vDN7/5TYwfPz51ITiQvJaJxeHDhxEIBLBp0yb813/9FyKRCD796U/j29/+NiZMmJDP7hAEQWQNJU0EQRAEQRAc0Ok5giAIgiAIDihpIgiCIAiC4ICSJoIgCIIgCA4oaSIIgiAIguCAkiaCIAiCIAgOKGkiCIIgCILggJImgiAIgiAIDihpIgiCIAiC4ICSJoIgCIIgCA4oaSIIgiAIguCAkiaCIAiCIAgOKGkiCIIgCILg4P8HC/nmjuoku8AAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAk0AAAJOCAYAAACqbjP2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAA9hAAAPYQGoP6dpAABlkElEQVR4nO3deXxU9b3/8feZLXuAJIC4VMEExRAx4s+lSWqlttqKglrbW7Wtcr24oNzbzQ1FKyIqbfUqarVau9hba7XQUu1iq+0F2moF5bIIEqAKgpAJQiYkk1nO+f2RzJjJTJIzk2UWXs/HIw/IOWdmvp8ZZubDWd5fw7IsSwAAAOiTI90DAAAAyAY0TQAAADbQNAEAANhA0wQAAGADTRMAAIANNE0AAAA20DQBAADYQNMEAABgA00TAACADa50D2A4NTX5BuV+ysqKtG/fwUG5r3TKhTqoITNQQ+bIhTqoId7o0SWDdl9IHXuakmQYktPpkGGkeyQDkwt1UENmoIbMkQt1UAMyGU0TAACADTRNAAAANtA0pej2lzalewgAAGAY0TSlyB8y0z0EAAAwjGiaAAAAbKBpAgAAsIGmCQAAwAaaJgAAABtomgAAAGygaQIAALCBpgkAAMAGmiYAAAAbaJoAAABsoGkCAACwgaYJAADABpomAAAAG2iaAAAAbKBpAgAAsIGmCQAAwAaapgGa/7tN6R4CAAAYBjRNA+QPmekeAgAAGAY0TQAAADbQNAEAANhA0wQAAGADTRMAAIANNE0AAAA20DQBAADYQNMEAABgA00TAACADTRNAAAANtA0AQAA2EDTBAAAYANNEwAAgA00TQAAADbQNAEAANhA0wQAAGADTVOKPC6H7n75nXQPAwAADBOapgHwh8zo3+f/blMaRwIAAIYaTdMg6d5AAQCA3EPTBAAAYANNEwAAgA00TQAAADbQNAEAANhA0wQAAGADTRMAAIANNE0AAAA20DQBAADYQNMEAABgA00TAACADTRNAAAANtA0AQAA2EDTBAAAYANN0wB5XA7d/fI76R4GAAAYYjRNg8AfMtM9BAAAMMRomgAAAGygaQIAALCBpgkAAMAGmiYAAAAbaJoAAABsoGkCAACwgaYJAADABpomAAAAG2iaAAAAbKBpAgAAsIGmCQAAwAaapiE0/3eb0j0EAAAwSGiahhAT+QIAkDtomgaJx8VTCQCQbn+Jowy5im/6QcYhOQA4tHGUIXfRNA0yU303TjRVAABkJ5qmIdDX/zL4HwgAANmJpikD2Nn7xB4qAADSy5XuAQwnwxi8+xiRH//UGcZHyx9asV1HjMjXd/6yVd8661j99/9ulySNLvbooRXbFQib0eX5bkfc2Ba/2nm7iETbDEYdg3mfw40aMgM1ZI5cqCMXahhZ0Pk9kM01IDHDsiwr3YMAAADIdByeAwAAsIGmCQAAwAaaJgAAABtomgAAAGygaQIAALCBpgkAAMAGmiYAAAAbaJoAAABsoGkCAACwgaYJAADABpomAAAAG2iaAAAAbKBpAgAAsIGmCQAAwAZXugcw3LxenyxrYPdRVlakffsODs6A0igX6qCGzEANmSMX6qCGeKNHlwzo9oPx3Zfr7DzH7GlKkmFITqdDhpHukQxMLtRBDZmBGjJHLtRBDchkNE0AAAA20DQBAADYQNMEAABgA00TAACADTRNAAAANtA0AQAA2EDTBAAAYANNEwAAgA00TQAAADbQNAEAANhA0wQAAGADTRMAAIANNE0AAAA2pLVpevnll3XcccfF/MydOzfhtn/72980ffp0TZkyRV/5yle0Y8eOYR4tAAA4lLnS+eCNjY0666yztGDBguiyvLy8uO127dqlOXPm6IYbblBDQ4MeeeQRXXfddfrNb34jwzCGc8jyGw69vbtFLe1BlRa4VeRxyiHJHw4rbEpFbqfyTNPWfYUchnxBUz5/SCX5LpW4HXKZVsrbAQCAoZPWpmnr1q2aOHGiRo8e3ed2v/zlLzV58mTNmjVLkrRo0SLV1dXp9ddf12mnnTYcQ5UktRkO3bp0nVY1NkeX1VeW684LJsthOLTH1677V23X/OnVKrT6bpzaDUPzlq7Xim731VBVoYUzqlVgWUlvBwAAhlZaD89t3bpVxxxzTL/brV27Vqecckr094KCAlVXV+utt94ausH10OFw6NZlsQ2TJK1sbNadv1mvvT6/nE6HJh0+QvOWrVOHo/enNuQwNG9ZbCMkSSu2eDXv1xsUchhJbQcAAIZe2vY0WZal7du3a+XKlXr88ccVDod17rnnau7cufJ4PDHbNjU1acyYMTHLysvL9cEHHyT9uKkezfMFwnENU8TKxmbd9NnjJUm1R43Uklca5QuEle9O/GC+oBnXCEWs2OKVL2iqzGXY3i4VkedhmI9uDipqyAzUkDlyoQ5qGBqOQfxPtmVZOlQPdKStadq1a5fa29vl8Xj04IMPaufOnbr77rvl9/t12223xWwb2a47j8ejQCCQ9OOWl5ekNN6t2xI3LxGt/rAkqSPUeVjO5w9q0rjyhNvueO/DPu+rLRDWxMNG2d5uIFJ9PjIJNWQGasgcuVAHNQyusrLiQbuvUNiUy3loXnyftqbpiCOO0GuvvaYRI0bIMAxNmjRJpmnqW9/6lm655RY5nc7otnl5eXENUiAQUGlpadKP29zsS6lDLi1w97m+OL9zvG2Bzn9IJflueb2+hNsWeZwJl0cUepzyen22t0uFYXS+oVN9PjIBNWQGasgcuVAHNSRWUTGwBmzeC2u1p6VjwOMYWejWd75Yq337WmXm2AVJdp7jtJ4IPnLkyJjfjz32WHV0dOjAgQMqKyuLLh87dqy8Xm/Mtl6vV5MmTUr6MS1LKf0jLvE4VV9ZrpUJDpfVV5brYEdIkqE3d+xXfWW5SjxOWb1cRVfidqihqkIrtnjj1jVUVajE7ZBlWra3G4hUn49MQg2ZgRoyRy7UQQ2D60B7UB+2JX90pjeZVNtwStv+tRUrVui0005Te3t7dNnbb7+tkSNHxjRMkjRlyhStXr06+nt7e7s2btyoKVOmDNt480xTC2fWqL4y9pBb5Oq5sSX5CodNvb3rgBZeWNNn7IDLtLRwRrUaqipiljdUVeieGZOjcQJ2twMAAEMvbXuaamtrlZeXp9tuu01z5szRjh07dP/99+uqq65SOBzWvn37NGLECHk8Hl188cV66qmn9MQTT+iss87SI488oiOPPHJY4wYkqdAyde+FNfIFwvL5gyrJj81pKi/J07fPr7aV01RgWbp/ZnWC/CUzpe0AAMDQStuepuLiYj311FPat2+fLr74Ys2bN09f/OIXddVVV2n37t2qr6/Xm2++KUk68sgj9fDDD+uFF17Q5z//ee3fv1+PPPLIsAdbSlK+ZWrSuFJNKPGowmWowDSVZ5oaYRgqdxq2gy2lzj1Jo5yGPlbk1iin0eueI7vbAQCAoZPWc5qqqqr09NNPxy0/8sgjtXnz5phlZ555ps4888zhGlqvgoahxr0+hczOSy5bO0Iq8jiV73LKYUj5DslJUwMAQM5Ja9OUbdoNQ3ct36h/O+1oPb1qe0xuU11lua4/q1JOh6FxJXnKPxTPkAMAIIfRNNkUcnROZzLlY6PiGiZJ0d/PqxmnrU0H9cljyziMBgBADjk006lSEEnnrj1qZK/J4KsamzW2NF9jSvLkC3KiNgAAuYSmySafPyTpo8Tv3nSETHWEzOj2AAAgN3B4zqaS/M6nKs/Vd58ZWR/ZHgCAdBtR4JZ/EI6AjCzse3aMXMc3u02RdO43d+xXXWV5wkN0dZXl2tPil2EYOmFMkcQ5TQCADLDw4sELgw6GTFmH6MVONE02RdK573rxbV1ZN16SElw9VyWnQzq8JJ/wSQBAxrj3xQ1q8qU+jcqIApfmz6jRvn0HZZrmITmFikTTlJQCy9KC6ZN0MGzp9uknyLKkgx0hFXqcynM55YzmNNEwAQAyx84P27X7gD/l248q9EiSLMs6ZBsmiaYpaW7LUuWYEnm9nbNXV7gix3e7/hXRLwEAkJNompIUMBza3tQqf8iUIUOWOvc2leS75HE61NIeUGmBRx1hUy3tQZXmu1XqccohSy095o8zpLhlZDsBAJCZaJqS0G44tGt/u55YsU2X9pIKPn96tRa8uFGvbGqKLm+orNCcs47VrB+/obZAuHNZVYXmfDJ+2cIZ1So4lPd9AgCQochpsqnD4dCqrV49/GqjTjh8RK+p4At+u0EnHD4iZvmKxs7bzaof/9GyLYmXzfv1BoUcwz8RMQAA6BtNk02+QFhjSvO1qp9U8JVd63talWB5omUrtnhJEwcAIAPRNNnU0h6MpoHbSQW3uzzRMtLEAQDIPDRNNpUWuKNp33ZTwe0sT7SMNHEAADIPTZNNJR6n9rZ0qK6yPJoKnkh91/qe6hIsT7SsoapCJW5eFgAAMg27NGzKM03VHVuu8aOL9MT/bu01FXz++dW693dvx9y2obJCc6ZVataP/vnRsqoKzTkrftk9MyaTJg4AGFQDnXsuMuecYRhyJPh//aESemlYh9gEMpFQylQFHQ51mJb8oXBMTlNxvkt5WZTTZBhSRUXJgJ+PdKKGzEANmSMX6qCGxEaPLhmcOxqAUNiUy5n4SEgwZOrA/oNZ+5pJ9p5j9jQlyWOZOnx07Juheyp4cYG780+nofLizth5de05GuU0NKqoa9uu5ijRMgAABtNA556TpEDIVHswHLd8ZKFb3/lirQzDyPmJfGmakhTsSgRvC5pq6wirJN+lPLdDbsNQWyislvaQSvNdcjsd2t8WUFGeS6Vuh0wZOhAIy9ceVEmBW8Uep9pDYfnaSQMHAAytgc49h040TUmIJII//GpjzLlMDZUVun5apfzBsK792Rq1BcKqqyzXlXXj9R8/Xa0ll56sR17ZohXdblNfWa4r6sZr7s/fVFsgTBo4AAAZjsu0bOqeCN4z2HJFo1dLXtmiXfvbownfqxqb9fSq7brv4hP1cI+GSeoMwXx61fbo9qSBAwCQ2WiabOqeCJ7IisZmjSnNj0n4XtXYrDGleb3epmciOGngAABkLpomm7ongvemI2TGbdPqjz9prudtuiMNHACAzMQ5TTaVFrjV2tF3Q5Mo3bs435nUbUgDBwAgM7GnyaYSj1N7fR29JoE3VJZrb4s/JuG7rrI8miKeSM9EcNLAAQDIXOzWsCnPNFU3oVzjK4okqder5xa82JkGHrl67qYX/k9LLj1ZDhla0eiN3qb71XMSaeAAAGQ6mqYkFFimjh6Rr7tnTFZbMKy2jrCK813K75bT9NNZp6o43yVPV07T/1x1mkrdDt134eTOnCZ/UCX5H+U0/XTWqd1ymmiYAADIVDRNSXJbpsZFEsEjh9IsS7Is5Tm6pXvLUnHhR0nfTlmqcBmq6JYSnu8gDRwAMPQGOvdcX/qbly6RbJ2rjqYpSUHDoZ3NB3UwZKmlPaSiPKcK3E65HIb84bDynU7tO9ihfI9LDkNyOx3qCJkx2+Y7DHWYlg527a0aUZD7ieAhhyFfmubZA4BD3cKLpwzp/YfCpsrKimxvn61z1dE0JaHDcChkSbcvWxcTVllXWa7rz6rUuBH5+t7LmzX37Im6+ierddeMyXrk1S1x295wVpUMw9KVP3pDbYHOSIJcTgRvNwzNW7o+5nnI5XoBINMMxtxzfeltXrpEsnmuOpommzocDvkCId3z4ttx6d6Rk8Kn14zTlfUTdPuy9Xrk8pN15282xAVbRn4/r2acZtWP15JXGiV9lAh+/8zqnNoDE3LEN0xS7tYLAJmIuecGB9e32+QLhGXJiPvyj1jVlQjucjq0srFZobDVZxL42B7p4VJuJoL7gmavz1ku1gsAyF00TTa1tAflaw/2uU1HyIxu02Jj20QJ47mWCN5fPblWLwAgd3F4zqbSArf6O4iU53KopMAd3b6/bRPJtUTw/urJtXoBALmLPU02lXicMmSpobIi4fq6rkTwUNhUfWW5XE6jzyTwPT3Sw6XcTAQvcTvUUJX4OcvFegEAuYtvLJvyTFMlbpcWzJwc1wR0Xj1XpTOOrdDTK7fp7pk1mvPMGt1wVlXCbW84q0rHji7WD1dujy7/KBE8t06KdpmWFs6ojnsecrVeAEDuyphjI7Nnz1ZZWZnuvffehOsvuOACbd68OWbZ8uXLNXHixOEYniQpzzLldDi0aOZkHQyG1dIeUmFX9pLbYag9HNbXP32c9rV16KFLa+U0pAUzqjtzmvwhFXqcKuyW0/TLa85QWyCs0nyXSnM4EbzAsnT/zOoEOU25WS8AIDdlRNP04osv6q9//asuvPDChOvD4bD+9a9/6ZlnntExxxwTXT5q1KhhGuFH3JapcRWdieBlxR+lf8u0lG8Ykmnq8Pxu5zNZloqchsqKYrd1SSpyO6TI4akc3+PiMi2NcpKADgDIXmlvmvbv36/7779fNTU1vW6zc+dOBYNBnXjiicrLyxvG0cXzGw5t+qBFLe0hFec5le92Khg2ZRhSvsup9mBYLf6QSvNdMiRZhiRLchhSsSs2BTtRSrYhqYXkbAAAMk7am6b77rtPM2bM0N69e3vdprGxUePGjUt7w9RmOHTb0vg08LnTqjSqyKNbl67Tyu6p15UVurL+GD3zj3d16WlH69nX39P88yapwLJ6Tcme88ljNevHh0ZSOABgeAzl3HPJSmWuuqGQyvx3aW2a/v73v+uNN97Q8uXLdeedd/a63datW+V2u3X11Vdr/fr1Gj9+vG688UadeOKJwzbWDkd8wyR1BlU6JH22ZlxMwyRJKxq9kixN+dgoPb1qu2o/Nkrzfr1B986crHkJ7mvFFq9MyzokksIBAMNnqOeeS1ayc9UNhVTmv0tb09TR0aE77rhD8+fPV35+fp/bbt++XQcOHNAll1yiuXPn6rnnntNXv/pVvfTSSxo3blxSj2sYqY3XFwj3nmzd2Kwr6sb3uW7JK42a1fVnX/e1qrFZs3rcVyQ5u8yV4uATiDwPqT4fmYAaMgM1ZI5cqIMahsZQzz2XrGTmqhsKkfnvHA5DZhI7JNLWNC1ZskSTJ09WQ0NDv9suWLBAfr9fxcXFkqQ777xTa9as0a9//Wtdc801ST1ueXlJSuPdui1xkxORKN2757rIny39pGAnuq+2QFgTDxv8E99TfT4yCTVkBmrIHLlQBzUMrj2tHdrd0pHuYWQMd7DzuGBZWXFSt0tb0/Tiiy/K6/WqtrZWkhQIdHbAf/jDH/Tmm2/GbOtyuaINk9R5HHTChAnas2dP0o/b3OxL+himlHrCd/d1kT9L+0nBTnRfhR6nvF5ff8O0zTA639CpPh+ZgBoyAzVkjlyogxoSq6gYWAMWDJoKpnHPTqYJBp2SpH37WqN7muw8x2lrmn76058qFPpoj8t3vvMdSdI3v/nNuG2//OUv67TTTtP1118vSTJNU5s3b9Zll12W9ONallL6R1zicaqhsjzhYbWGrjTwRBoqy/Xmjv2q6/qzoaqi876qKrRiizdu+8h2MffRlZxtDcE5Tak+H5mEGjIDNWSOXKiDGjAckn2N0nbe+hFHHKGjjz46+lNUVKSioiIdffTRCofDampqiu59mjZtmn70ox/pz3/+s7Zt26a77rpLPp+v11ynoZBnmrp7Zk3cNCp1leW6flqVph5Tpvoe06Z0Xj03Xht3HdCVdeO1aXeL7pkxWR7T7DUl+4ZpVYdEUjgAANkm7ZEDiezevVuf+tSn9JOf/ESnnXaarrjiCnV0dOjuu++W1+vVlClT9PTTT8ccshsOhZapRRdOVmswLF+3NPCgacqSpXsurInmNJXku+SQZEq66dzj5TCkBdMnRVOwe0vJNiQtu+7jJGcDAJBhMqZp6j59ypFHHhkzZYphGLrmmmuSPul7KORbpo48rFReb+RYdVdypSSZpgpi0r976LG3qLeUbJKzAQDIPBnTNGWLSCJ4qz+k4rzOp8+SpQKXUy6HodZAWD5/SKUFLnlcDoVNUy7DoUDYlGlJrR0hFXelhSdKCQcAZK/ITA873vtQRR4nszrkGJqmJPSWCH5V/QQVepxa8sqW2ITvygrNP/8ENR3s0EN/3hJ3uyvrxsekhAMAsldvMz0wq0PuSGOAeXbpcDh027LEieC7D7Tr4R4Nk9SZCH7X8o1q3Nua8HZPr9qu48eVat6vNyjkyKAUNABAUkIOQ/OWrU840wOf8bmDPU029ZXiPbY0P24KlYgVjV5dUXdMwnWR9O8lrzTKFzQ1ysmbCgCykS9o9j5rRNesDun8jM+kuecyQWT+u2TRNNnU0h7sdV1faeD9rY+s8/lDH538DQDIKr5+ZnpI92d8ps09lwmCIVNWkodNaZps6isRvK808P7WR9aV9JMSDgDIXP19hqf7M34o554bUeDS/Bk12rfvYNJNSDpZlpV0+Cjf1Db1lQi+p8XfR1p4Ra9p4TEp4W4H8QIAkKVK3I5eZ3rIhM/4nR+2a/eBxN9FAzWq0COpswlJZvLbbMSJ4DZFE8Gr4hPBx40o0PXTquLSwiNXz1WOKU6YJN49JZxLUgEge7lMq9eZHviMzx3saUpCoWVq0czORPBWf0hFeZ15S5GcpkUXTo7mNJUUuJTncihkmhpdnKfbp0+SaUkHO7puZyguJRwAkL26z/TQFgirMJrTxGd8rqBpSlJ8IrikrtZJpqU8l6Hy4q7znyyrc7prWSrqumqi3NXj3Cj+9wEAOcNlWipzGZp42KjO7wk+43MKTVOSIongvvaQivKcync55TCkgGnKsqRit1NOSfsDYbV2BFVRlCdLUlswrLaOsEryXcp3O5RvSE7eTACQUwIOh3yBsLZt36fSfJdKPE552NOUM2iaktBbIvj1Z1XKaRhqD4b1k7//S7d87gT9x0/e0F0zJisY9mvJq41a1SMp/PpplTq8NE/5WXSlAQCgd22GQ7cuXRfzeV9fWa6FM2tUaNE45QKaJps6HPENk6Tom+O8mnEyJE06fITu/M16PXLZyVr//gG9uG53zBtI6gy8lCx97sTD9cljyzhBEACyXMAR3zBJ0srGZs1btk73XVjDHqccwNVzNvWVCL6qsVljS/M1pjRftUeN1MrGZrmcDo0tzY97A0WsaGzWmJI8+UhoBYCs5wuEe/28X9nYLF8gPMwjwlCgabKpr0RwqTPZO/IjSb72oK2k8P5SZAEAma/F3/d3RH/rkR04PGdTX4ngUnzqd0mBW60dfTdEeS5H2lNiAQADV5rf93dEf+uH2lDOPReZx80wDDm6fRWmkrid6fjGtqmvRPC6ynLtafHLkPT+Ab/qK8sVCpva0+JXXWV5wl22DZXl2uvr0AljiogdAIAsV+Jxqr6yPOHk7fWV5SrxOKU0ntM01HPPhcKmysqKYpYFQ6YO7D+YU40TTZNNkUTw25at7zqRu1Pn1XNVchpSezCsP729R3deMFlXPv267poxWdefVSlJCa+eO6I0n9AzAMgBHtPUwpk1mrdsXUzjVF9ZroUZcBL4UM49J0mBkKn24EfnbY0sdOs7X6yVYRhZNR9df2iaklBomZ2p38GwfO0hFXblNDm7cppKLbfuOr9aTkk/+Mop0Zymu2dMjuY0Fee7VBDNaaJhAoBcUWiZuu/CGvkCYbX4QxmV0zSUc88dSmiaUmBZkmlZchiG3E5DlmnJtKRWf0gOQypwOWWp86ibP2SqxONUsdshuR0f3UEvjXfIYcgX7DxBvCTfpVK3Q5YUs6wzlt/q9TY91wMAhofHNFXhNnT8uLKuRPD0N0wYPDRNSegtuOzOCyarqaVDX3vuLd178Yl6etX2lMLN2g1D85auj543Vehx6odX/D898sqWmHOpGqoqtHBGtQosK+42PdcDAIDBQeSATR0Oh25dlji47M7frJfbZei+BA1TZJt5y9Yp4Oj96Q45DM1bFtv8zKofr4d7NEyStGKLV/N+vUEBhyPuNt3XhxxGquUCAIAeaJps6i+4rCjPpTGleSmHm/mCZlzzU3vUyN7DMbd4+wzcXLHFS3AmAACDiKbJpv7CLVv9YbX6+0587SvcLFHIZX/hmP2FpRGcCQDA4OGcJpv6C7csznf2fx99hJslCrnsGZiZzP31dp8AACA17GmyKRJclkh9ZbkOdoS0t6VDdX1sU+LpvbEqcTvUUFURs+zNHft7vb+GqorOwM0et4lZ7+blBQBgsPCtalNeV3BZz8YpcvVcMGTpphf+T1fWjU+4TX/hZi7T0sIZ1TFN0A9XbtcN06riGqOGqgrdM2NyZ5haj9t0X0/sAAAAg4fjN0kotEzd2xVc5vMHVZLvVpHHKcu0NLo0T9+/fKpKClxadGGNWrttU2oz3KzAsnT/zOq4nKaeyzpzmMxeb9N9PQAAQzn3XCKR+ehyDU1TkvItU0eOK+0MLbMUnUuo0GmovKjrH4lpKt9lqKLYE/3dLpdpaZTT0KjofXXuLUq0rL/bAAAgDf3cc4kEQ2ZOTaEi0TQlzW849PbuFrV27dUxjK5wb0tyOKRCl1NhMyyPwyFDUkvQ1MGOkEYWehQIm9HbJZPaTeI3AGSHgMMhXyCsbdv3ZdQ0KgOde25EgUvzZ9Ro376Dthshy7JyarJeiaYpKW2GQ/OWxk7GWFdZrivrxut/XntXl552tJ597T3dPv0E/eS193TmcaN1/c/f1L0Xn6jvvPxO7KS9NlO7SfwGgOzQ26wRdmaEGGoDnXtuVGHnkRPLsmQewv9p50RwmyKJ4Ct7hEmuamzW06u264TDR+jpVdt1/OGlum3ZOl162sf08KuNvaaE20ntTpQSbve2AIDhE+hj1oj+ZoRA9uBVtKmvRPBVjc3R9O7ao0ZqRWOzWru27yslvL/U7kQp4XZvCwAYPv3NGtHXjBDIHjRNNvWXCB5J74786evavr+U8L5Su/tL9CbxGwAyQ38zNPS3HtmBpsmm/hLBI+ndkT9LurbvLym8r9Tu/hK9SfwGgMzQ3wwN/a1HdqBpsqmvRPC6yvJoevebO/arobJcxR6n6irL+0wJ7y+1O1FKuN3bAgCGT3+zRvQ1IwSyB9+6NvWWCB65em7jrgO6sm68Nu1q0d0X1uh/XntPN0yriqaE92yc7KR2J0oJt3tbAMDw8fQxa0R/M0IgexhWriVP9SMaSpmijq4MjtaOkIrzXHJ0y2kyHFJRluQ0GYZUUVEy4OcjnaghM1BD5siFOrK9hkhOU4s/NKg5TaNHlwzo9tc/88aAIweevPJUNTe35mzkgJ3nOGP2NM2ePVs333xzr+v/9re/afr06ZoyZYq+8pWvaMeOHcM4uo/kW6YmjSvV+GK3KlyGypyGyp2Gyl2GyhyG8kxThTLkMi05u5K6jyx0q1iWypyGPlbk1iinkVTTE0n8TuW2AIDh4zFNVbgNnTq+TBVugz1MOSYjmqYXX3xRf/3rX3tdv2vXLs2ZM0cXXXSRnn/+eZWVlem6665LSzy733Bo0wct8gYteUOW3j0Y1L6wFf3pLYsj5DD0YdjSeweD+jBsDUnG0nA8BgCgdwGHQ96gpde375M32Pt3wnAbUeDWqEJPyj+5OpdcstJ++dX+/ft1//33q6amptdtfvnLX2ry5MmaNWuWJGnRokWqq6vT66+/rtNOO224hqo2w6FvL9+gS087Oi6wsqGyQlfWH6Of/eNdzZ9eHZP+Ohyp3iSHA0B6ZXIi+GDMPZeLc8klK+1N03333acZM2Zo7969vW6zdu1anXLKKdHfCwoKVF1drbfeemvYmqYOR+ebofZjoxInfDd6JVma8rFRmrdsne7rOvEv5IhvZqSPUr3vn1k94MNtw/EYAIDeBRzxDZP0USL4fWk+Gby/uefszC2Xi3PJJSutTdPf//53vfHGG1q+fLnuvPPOXrdramrSmDFjYpaVl5frgw8+SPoxjRSPWEXSXmfVjdeSVxoTbrOisVlXdK33BcKqcBu2Ur3LXAM7jJbKY0Seh1Sfj0xADZmBGjJHLtSRrTXYSQSvcKevqP7mnovMLSdZfe5NyrbXZbClrWnq6OjQHXfcofnz5ys/P7/Pbdvb2+XxeGKWeTweBQLJz9hcXp7aFQhbt3W+GSKJ372JrG/xh3T8uDLteO/DPrdvC4Q18bBRKY0pYiCPkerzkUmoITNQQ+bIhTqyrYZt2/f1uT7ynZAubrdDbnfvWVHurty/srLi4RpSVkpb07RkyRJNnjxZDQ0N/W6bl5cX1yAFAgGVlpYm/bjNzaldxhpJBI8kfvcmsr403yWv16eifgLNCj1Oeb2+5AfUTSqPYRidH0qpPh+ZgBoyAzVkjlyoI1trKO1nhobId0KqKioG1kQGg6aCwd6n9QoGO79H9u3L3UiB/th5jtPWNL344ovyer2qra2VpGhT9Ic//EFvvvlmzLZjx46V1+uNWeb1ejVp0qSkH9eylNIbMZL2Gkn+TrQbtqFrfST91TLNaKr3ii3e+O27Ur2tAf4DHchjpPp8ZBJqyAzUkDlyoY5sqyHyHbEywXdD9++ETJdtz/twS9u1kD/96U+1fPlyLVu2TMuWLdO0adM0bdo0LVu2LG7bKVOmaPXq1dHf29vbtXHjRk2ZMvCrAeyKJIK/3ZX8HZfwXVmhK+vH6+1dB2LSX4cj1ZvkcABILxLBDw1p29N0xBFHxPxeVFQkSTr66KMVDoe1b98+jRgxQh6PRxdffLGeeuopPfHEEzrrrLP0yCOP6MgjjxzWuAFJKrRMffv8arUGw7r9vBNkSTrYEVJxvkuRc+PuOr867s1RYFm6f2Z1glTvwXsTDcdjAAB6V2iZuu/CmiFJBEdmyIzUrR52796t+vr66GG6I488Ug8//LBeeOEFff7zn9f+/fv1yCOPyEjDafz5lqnjDytVhdtQhcvQ0UVulTs7k8HLnL2nvw5HqjfJ4QCQXiSC57a05zRF3HvvvdG/H3nkkdq8eXPM+jPPPFNnnnnmcA8rTtAw1NjUIo/DqbZQWL72kIrynMp3OeUwJJfDkEeWjB4Ny1DMHwcAAIZPxjRN2aDdMPTgy+/ohrMnat7SdTHZSHWV5br+rEo5DOmw0gK5DMnTdTYdad0AAGQ/miabIqnb3zr3eM1fFp++Hbma7ryacdrWdFAnfWyURno6j36S1g0ASKcRBW75g70fKozMLWcYhvqaLu9QTwWnabIpkrp9i9PRa/p2JDFckqyu20jqN617lPMQj1gFAAwpO3PPhcKmysqK+twmGDJ1YP/BQ7ZxommyyecPdf7ZHuxzu0giuK89KJej/2bI5w9pVBGzRwMAhk5/c89JUiBkqr2PAMyRhW5954u1MgzjkJ24l6bJppKutNeSgr4bnEgieEmBW3amlCvpJ0UWAICB6m/uOdiTkZEDmSiSuh0Km2roEV4WUVdZrj0tfu1t8cvouk3kdolE0roBAEDm4xvbpkjq9o9WbdddMyfHNUKdV89V6djRxfr4sRUa4XbKZVqkdQMAkCM4NpSEAsvSt86u0kHT1MKZk9UWDMvnD6nQ81FOkztBThNp3QAAZD+apiS5LUuVo0vl9fpU4DRUHj2Ju6tJ6mXPUSStO3rSN3uYAADIKjRNSQoYDr2zp0WWJI/DIX/IVFtHSKMKPQqETbV2dM435HY6tL8toKK82PRvksEBDIXIZ8uO9z5UkcfJZ0uadDgc8gXC2rqtWSMK3Cr2OJXHUYWcQdOUhDbDoQXLN+iy049RocepJa9s0er39uuhL9Xqe396JxpwKXWe43Rl3Xhd9tTrmnr0KN0zo1qW4oMuSQYHMFDMOpAZ2gyHbl26Lua7oL6yXAtn1qjQonHKBZwIblPA4dBty9bp+MNHaPeBdj38yhataGzWrPrxenrV9pg3idQZdPn0qu2aVT9eK7Z4tXLbPs1LkCQeSQYP2ch0AoCeQg6Dz5YM0OFw6NZl6+K+C1Y2NmvesnXq6CtmG1mDV9EmXyCsFY3Nqj1qpMaW5mtl1xuj9qiRcW+SiFVd20vSmJK8fpPBASBZkdkKEuGzZfj4AuFevwtWNjbLF+g9NBLZg8NzNrX4O5PAI4nfET1/7ymyvr/tSAYHkIrIbAV9reezZei19DNbhM8fVEWxZ5hGE6+/uefsiMxPdyijabKpNL/zH0sk8Tui5+89Rdb3tx3J4ABS0d9nB58tw6O0n9kiSvLT23DYmXvOjmDIPGSnUJFommwr8TjVUFmuN3fs1+Ej8tVQWa4Vjc16c8d+1VWWJ9wtW9e1vSTt9XWooapCK7Z447aLJoNzpQuAJEVmHeCzJb1KPE7VV5ZHT93orr6yXCUep5TGq+h6zj03osCl+TNqtG/fwaSaIMuyDtnJeiXOabLNY5q6e2aNNu1u0bgRBbp+WpUaKiv0w5XbdWXdeNX1mFolcvXcD1duV0NVhRomlJMMDmDQMetAZsgzTS2cWaP6Ht8F9ZXlWnhhTdpjB3Z+2K5/NR+M/ry3r11SZxNkmvZ/DuWGSZIM6xDbz+b1+gb0ogcdDrWGOk/oc3fLaRpZ6FGwK6epJN8lT4bnNBmGVFFRMuDnI52oITNQQ2aIfLa0BcIqzOKcpmx/LSI5TT5/UCX5bpUMUk7T6NElA7r99c+8ETNh76hCj5688lQ1N7fKzMJ/J0PBznPM4bkkeSxTE8eWdr2hLRW7DMnllmRJLkPlro8SwosL49O/SQYHMBRcpqUyl6GJh43q/HzisyUt8kxT+W5Dk8aVd70OXL2YS2iaktRhOLRpd4t8/pCK810y1Pk/I4/ToaBlqtDplD8c1oE2Er8BAMglNE1JaDMcmrd0XcyJfpFzl37+2ru68dxJuuePb+s/zz5OVz+zWt7WAKm8AADkCE4EtymS9trzyohI8vekw0dowW836OKpR2nBbzfovotPlEQqLwAAuYKmyaa+0l4jyd8rG5s1pjQv+mcEqbwAAGQ/miab+kt7jSR+t/rDMX9G9JfaCwAAMhtNk039pb1GEr+L850xf0aQygsAQHajabIpkvaaSCT5u76yXHtbOqJ/RkRTeQEASIMRBW6NKvREf5hHLjXs/rApkvY6b1nvV8/NP79aD768WfPPr9alP/iHpO6pvJzTBABIj0Rzzx3q88ilgqYpCYWWqfsurOlMe+0IqTjPJaProrjbzjtBQdPUrZ+dJH84rMcvn9otp4mGCQCQPt3nnovMO+dracvK1PV0omlKUp5l6ohxpQki/i3JYUimqTzD0AgSvwEAGWLnh+3RaVRGFXokiYYpBTRNKTjQFlCb4dDBYFi+9qBKCtwq8jiVL0thKTq3XFHXniiHIRW7SAYHgGxld97QyHY73vtQRVk8ByASo2lKUocM7W8N6I7frI/JbaqvLNfdM2t092836E+bmqLLI+c8Pfv6e5p/3iSSwQEgy7QbhuYtXa8V3T7zE832YHc7ZC8u6UpCyGFoR4s/rmGSpJWNzbpt2Todf/iImOWRxPDjx5WSDA4AWSbkMDRvWWwjJMXP9mB3O2Q3mqYk+IKmivJcvSaDr+xKBu8pkhhOMjgAZBdf0IxrhCK6f6bb3Q7ZjaYpCT5/KC7pu6dIMnhvy0kGB4Ds0d9ndmS93e2Q3TinKQkl+S51hPv+30IkGby35SSDA0D26O8zO7Le7nbIbuxpSkKJ26GDHeFek8Hru5LBe4okhpMMDgDZpcTtUENVRcJ13T/T7W6H7MarmASXaemo0jzdecHkuMYpcvXcpt0tMcsjV89t2t3SlQzOFRQAkC1cpqWFM6rjGqKPZnuwktoO2S2t+wvfffdd3XXXXVqzZo1GjBihyy+/XFdddVXCba+99lq98sorMcu+//3v66yzzhqOoUblyVJxcZ7uubBGBwNh+fxBleR/lNO0YPok3XjOcXE5TQumTyIZHACyUIFl6f6Z1Qlymsxet2sLhFUYzWlK/2f/iAK3/F0no0fmnTO4oC9paWuaTNPU7NmzVVNTo6VLl+rdd9/V17/+dY0dO1bnn39+3PZbt27V4sWLdcYZZ0SXjRgxIm674TCi0KNgW4cKXIYqijuTVdX1pnBJGuU0NKqox2SI/C8DALKWy7RiP9t7+Ux3mZbKXIYmHjaqc+aIDPns7zn3XChsqqS0UAf2HyQZPAlpa5q8Xq8mTZqkO++8U8XFxTrmmGN0xhlnaPXq1XFNUyAQ0M6dO1VTU6PRo0enacSdOgyHNn3QEv3fRp7ToY6QqYMdnb+7nQ7tbwuoKK/3xNgIuwmzg3U7AMDQytRE8O5zz0lSgcehuy+aIsMwmLQ3CWlrmsaMGaMHH3xQkmRZltasWaN//vOfuuOOO+K23bZtmwzD0FFHHTXMo4zVZjh029J1WtHYrEKPUw99qVZPr9oek9sUOYfpsqde19SjR/WaBJtqciyJswCQmTL587n73HPSR/PPITkZcSL4tGnTdOmll6q2tlbnnHNO3Ppt27apuLhYN954o+rr6/X5z39ef/3rX4d1jB0Oh25bti76ZphVPz6uYZI+SgCfVT++1yTYVJNjSZwFgMzE5/OhISOapoceekjf//739fbbb2vRokVx67dt2ya/36/6+no9+eSTOvPMM3Xttddq3bp1ST+WYaT24wuEY94MtUeN7DUZfFW3ZPBIEmzMfdlIjk04hhRv19vPQJ6PTPmhhsz4oYbM+cmFOrKxhsH+fE70nAyFdD9vmfRjR0akbdXU1EiSOjo69M1vflM33nijPJ6Pdh1ed911+vKXvxw98fv444/Xhg0b9Nxzz0Vva1d5eUlKY9y6LfbN0Fvyd6L1bYGwJh42Kvr7jvc+7PO2Pbcf6O36kurzkUmoITNQQ+bIhTqyrYah+HweTG63Q263M+Z3SSorK07XkLJSWk8Ef+utt3T22WdHl1VWVioYDKq1tVVlZWXR5Q6HI+5KuQkTJqixsTHpx21u9qV0pUBpQezVcL0lfydaX+hxyuv1RX8v8jgT3aTX7Qd6u0QMo/NDKdXnIxNQQ2aghsyRC3Vkaw2D+fmcSEXFwJrIYNBUMBju9nvnePfta5WZASeqZwI7z3HamqadO3fq+uuv11//+leNHTtWkrR+/XqVlZXFNEySdPPNN8swjJhDd5s2bdLEiROTflzLUkpvxBKPUw2V5dHdr2/u2K+6yvKEh+jquiWDR5Jgu192GkmOXbHFG3fbRNsP9HZ9SfX5yCTUkBmoIXPkQh3ZVsNQfD4Ph2x7ntMtbec01dTUqLq6WrfeeqsaGxv117/+VYsXL9Y111wjSWpqapLf33mm/7Rp07R8+XItW7ZM7777rpYsWaLVq1fr8ssvH7bx5pmm7p5Zo4bKzrTXH67crivrxsclg0eunvvhyu29JsGmmhxL4iwAZCY+nw8NhpXGgIY9e/ZowYIF+vvf/66CggJdfvnluvrqq2UYho477jgtWrRIF110kSTpl7/8pZ588knt2rVLVVVVuuWWW/T//t//S/oxvd6B7fINOBzyBcNq9YdU3COnqTjfJU+W5DQZRueuyIE+H+lEDZmBGjJHLtSR7TVEPp9jE8EHXsjo0QM7PHf9M2/ERQ48eeWpam7m8FyEnec4rSeCjx07VkuWLEm4bvPmzTG/X3LJJbrkkkuGY1h9yrNMHXFYabc3tKVil6FyV+ScJ0vFhX0nxkbYTZgdrNsBAIZWpiaCY3BkxNVz2SRkGHrPe1BB05A/FFZ7IKzirjnmIpwOqcDp1MFgOGZvkCGphQRwAMAw6z73nPTR/HNIDk1TEvyGod0H/Apb0pJXGxMmgb+weof+6+zjdNNv1mllj1TYOZ88VrN+/IbaAuHoMhLAAQBDrefcc1Ln/HMS3yPJoGmyKeQwtLKxWZakF9ftTpgELkmz6sbrrt9uiFu/YotXpmVpVv14LXmlMbps3q836P6Z1Qn3HIUc8Q2TndsBANBdz7nnRhS4NH9GjSRDNE72ZUQieDbwBU2NKc3X2NL8PpPAx5Tm2UoKj4gkxfb2mP0lzAIA0J+dH7brX80Hoz/v7WtP95CyEk2TTT5/SB0hs98k8FZ/uM/1iW7v84d6fcz+xgQAAIYHTZNNJfku5bkc/SaBF+f3nQqb6PYl+YmPkva23O56AAAweGiabCpxO7TX16E9LX7V9Qi0jKirLNfelo64wMvu6yNJ4RGRpNjeHrNnUJqd2wEAgMHHt65NLtNS/YQyVY4p1vVnVcY1TpGr555fvUO3T6+Oa5waqip0w7Qq/XDl9phlJIADAJAdOL6ThHzL0sdK8xSwDN11weRoTlNRnkuOrpym/zp7opwOS/ddWJMwp2nZdR/vkbfU9zlSBZal+2dWJ8hp4iRwAACGE01TklyWpcMqiuX1+lTqdki9HSIzTXkSpHaTAA4AQHaiaUrBgbaA9oUstQdCGlWUp4OBsHz+oEry3SryOOWW5Ouxl4lDaQAAZDeapiS1y9DXfv6m3t7dop9ddbpuWbouJpepvrJcd15QrUuffE3e1s4gMRK8AQDIfpwInoSQw9Cty9ZrxRav7rv4xITJ3ysbm3XnbzbovotPjC6LJHiHHEbPuwQAYMiNKHBrVKEn+sPcc6lhT1MSuid095X8vbKxWTd99viYZZEE71FOGicAwPBKNPdcMGTK4ghIUmiaktA9gbu/5O9E633+0EcncwMAMEwic89F5pzbt++gTNMUPVNyaJqS0D2Bu7/k70TrSfAGAKTDzg/btfuAX6MKPZIky7JomFLAOU1J6J7Q3Vfyd31XMnh3JHgDAJDd+BZPgsu0dM+Man2iqkI3vfB/CZO/O6+em6ybXvi/6DISvAEAyH4cL0pSgSw9/KVa7Wnxqz0Q1D0X1iTMafqfq04jwRsAgBxC05SCEYUeBds6ZDndkmmqwGWoorjzOLG6miMSvAEAyC00TUkKGoa27m3V/ragSvJdcjsd2t8WUFEeyd8AAOQymqYktBuG5i1dH81qkqS6ynJdWTdelz31uqYePYrkbwAAchQngtsUchiatyy2YZKkVY3NenrVds2qH0/yNwAAOYymyabuaeA9rWpsVu1RIyV9lPwNAAByC02TTd3TwBPpCH3UKPW3LQAAwyky9xxzzg0M5zTZ1F+ad57ro/6T5G8AQCbpPvccc86ljj1NNnVPA++prrJcb+7YL4nkbwBA5nn0z1skSfv2HdSB/QeZQiVFKe0SWbJkScLlhmHI7XZrzJgxamhoUHl54mlGspHLtLRwRrXm/XqDVmzxRpdHrp6b+/M3uyV/c04TACBz7D7QLok55wYqpaZp+/bteumll3TYYYdp8uTJsixLb7/9tnbt2qWTTjpJPp9Pd999t5588kmddNJJgzzk9CmwLN0/s1ptYWl/W0DF+S55unKall33cZK/AQDIYSmffPP5z39ed955p5xOpyTJNE0tXLhQbW1tWrRokb7//e/r3nvv1bPPPjtog80EbsvSsWNK5PX6urp1S8WFJH8DAJDrUjr55pVXXtGsWbOiDZMkORwOXX755fr9738vSTrvvPO0adOmwRllBgkYDm1vatWegKl/tQb1YdiKyWUKOQx9GLb03sH4dQAAIHultKepoqJCb7zxhsaPHx+zfPXq1Ro5cqQkyev1qri4eMADzCTthkPv72/XklcbtapbZlNDVYUWzqiWIenWHonhkXWkhAMAkN1SappuuOEGzZs3T6tXr1ZNTY0sy9KGDRv04osvav78+dq+fbtuuukmnXfeeYM93rQJOBxa2ejVi+t2xzRMkqJJ4J+bfFhcAGZk3f0zq5mXDgCALJZS03TBBRfo8MMP189//nM9++yzcjqdqqys1E9+8hOddNJJ+r//+z9dfvnluuyyywZ7vGnjC4Q1tjQ/rmGKWLHFqys+fkyv63xBU6OcHKoDACBbpXwi+CmnnKJTTjkl4boTTzxRJ554YsqDykQt/mBM6ncifa33+UMaVUQSKwAA2SqlpikYDGrZsmVat26dQqFQXLLookWLBmVwmaQ0393v9CjdU8F7IiUcAIDsltLVc/PmzdPChQv14YcfHjJR7CUep/a2+FVXmTiws6GqQnt9Hb2uIyUcAJAuJQWdRzoMw5DBmSIpS2n3x8svv6xHHnlEdXV1gz2ejOUxTdUdW6FjKookKe7quXtmTJZkqaGqIiYxnJRwAEC63fjZSQqFTZWVFSkYMplKJUUpNU0lJSUaO3bsgB/83Xff1V133aU1a9ZoxIgRuvzyy3XVVVcl3Hbjxo2644479M4776iyslLf/va3NXny5AGPIRkFlqmjRxbo7hmT1RYMq60jrNICl0q7JYHfP7NavqApnz+kknwXKeEAgLS798UNev9Dv/LcDn3ni7UyDOOQOVI0mFI6ZnTttddq4cKF2rp1q0Khvs/z6Y1pmpo9e7ZGjRqlpUuX6tvf/rYee+wxLV++PG7btrY2zZ49W6eccop+9atfqba2VldffbXa2tpSeuyB8Fimxo8u1liPQ8cUu1XmNGKiBFympVFOQx8rcmtUj3UAAKTDzg/btetAu/a3BdM9lKyW0p6mH/zgB9q7d6+mT5+ecP3bb7/d7314vV5NmjRJd955p4qLi3XMMcfojDPO0OrVq3X++efHbPvSSy8pLy9PN954owzD0Lx58/S///u/+v3vf6+LLroolRJSFjIM7fAelGk41B4Ky+cPqTjPJUOSwyEVu5xys2cJAICck1LTdO+99w74gceMGaMHH3xQUuesy2vWrNE///lP3XHHHXHbrl27VlOnTpXRdfaaYRg6+eST9dZbbw1r0+Q3DO1p8WtkUZ6+/ZsNMUGWdZXlurJuvJ597T3dPv0EFVo0TgAA5JKUmqZTTz11UAcxbdo07dq1S2eddZbOOeecuPVNTU2qrKyMWVZeXq4tW7YM6jj6EnIYWtnYrPGji+IaJumjE8NrPzZKty1bp3svrJGHPU4AAOQM203Tpz71KT3//PMaNWqUpk2bFt3rk8if//znpAbx0EMPyev16s4779SiRYt02223xaxvb2+Xx+OJWebxeBQIBJJ6HEkpX2rpC5oaU5qvojxXXMMUsaqxWbPqxmvJK43yBcKqcGfudZ2R5yGbLz2lhsxADZkjF+qghuFhGJk9vkxlu2m6/vrrVVTUebn9DTfcMKiDqKmpkSR1dHTom9/8pm688caYJikvLy+uQQoEAsrPz0/6scrLS1Ia4473PlRHyFSrP9zndpFU8BZ/SMePK0vpsYZTqs9HJqGGzEANmSMX6qCGweV2O+R2O+XuygwsKytO84iyk+2m6cILL4z+/f3339e///u/q6CgIGab1tZWLVmyxNb9eb1evfXWWzr77LOjyyorKxUMBtXa2qqyso8ajrFjx8rr9cbdfsyYMXaHH9Xc7Espm6LI41Sey6HifGef20VSwUvzXfJ6fck/0DAxjM43dKrPRyaghsxADZkjF+qghsQqKgbWgAWDpoLBsILBzu+wfftaZXJ1dww7z7Htpmnbtm1qbu48LPXII4/o+OOP14gRI2K2eeedd/Tss8/q5ptv7vf+du7cqeuvv15//etfo5lP69evV1lZWUzDJElTpkzRD37wA1mWFc2WWLNmja655hq7w4+yLKX0j7jE7dBeX4eK8pxqqCxPeIiurrJcb+7Yr4bKcpV4nLKy4JymVJ+PTEINmYEaMkcu1EENQyuTx5bJbDdNe/fu1RVXXBH9/frrr4/bpqCgQF/96ldt3V9NTY2qq6t166236pZbbtH777+vxYsXRxuhpqYmlZSUKD8/X+eee66++93vauHChfq3f/s3Pfvss2pvb9dnP/tZu8MfMJdpqX5Cmfa0duiOC6r17eUbY5K/u189dzcngQMAkHNsN02nn366Nm3aJKnzarfnn38+bo9QMpxOpx599FEtWLBAX/ziF1VQUKAvf/nL+spXviJJqq+v16JFi3TRRRepuLhYjz/+uO644w4999xzOu644/TEE0+osLAw5cdPRb5l6ciSPAUtQ3fPnKz2YFit/pCKunKaDId01/knkNMEAEAOSily4JVXXul13d69e22fazR27Nhez4HavHlzzO8nnniili5dan+QQ8RlWTqsolher0+FTkPFJXnyBcI60B7UiAK37LRLIYeRYKoV9pMCwHA7VD6PRxS45Q+aGlnoTvdQslpKTdO2bdv0ne98R42NjQqHO68msyxLgUBA+/bt08aNGwd1kJmqzXDo1qXrYibvra8s18KZNb2GW7YbhuYtXR9zTlRDVYUWzqhWAQeYAWDYHEqfxwsvnhL9ezBkMu9cilKae+7222/Xvn379O///u/yer2aNWuWzj33XLW2tmrhwoWDPcaM5DccunVZbMMkSSsbmzVv2Tp1OOKf2pDD0Lxl6+NOIl+xxat5v96gkIPQDAAYDofa5/G9L27QXb9eJ0nytbRxEniKUtrTtG7dOv3iF7/QpEmTtGzZMk2YMEGXXXaZxo8fr+effz4mniBX+QLhuIYpYmVjs3yBsPJcsW86X9DsNRhzxRavfEFTo5y59UYFgEx0qH0e7/ywXf5g5xEQGqbUpbSnyeVyqaSkM89gwoQJ0Ql6P/7xj8edi5SrWtr7nina549f7/OH+rlN3+sBAIODz2OkIqWmqba2Vk899ZT8fr8mT56sV155RZZlaf369XHTneSq0oK+T6YryY9fX5Lf9469/tYDAAYHn8dIRUpN0y233KKVK1fqf/7nfzRjxgw1Nzfr1FNP1de//nVddtllgz3GjFTicaq+sjzhuvqucMu427gdaqiqSHibhqoKlbhTejkAAEni8xipSPpfRWtrq4444gj98Y9/1Je+9CUVFhbqhRde0OLFi/XTn/5U77777lCMM+PkW6YWzqyJa5zqK8u18MIa5SXIanKZlhbOqI57ozZUVeieGZNz8jJXAMhEfB4jFbb3P37wwQe6+eab9dprr0mSPvGJT+j+++9XQUGB8vLytHXrVj366KNyuQ6dXZqFlql7L6yRLxCWzx9USb5bJR5nwoYposCydP/M6gS5IARiAsBw4vMYybK9p+muu+7S+++/r/vvv18PPPCAmpqatGjRIu3Zs0eXXHKJvvvd7+q8887T73//+6Ecb8bJM01VuAyNL/aowmX02TBFuExLo5yGPlbk1iinwf9oACBN+DxGMmzvFlq9erUefPBBnXHGGZKkE044QRdeeKE2bdoky7L0i1/8QjU1NUM20EzRYTi0aXeLWvydCeBFbqfaguGcT5MFAOBQZ7tpamlp0bHHHhv9/WMf+5iCwaCOOOIIPfjgg3K7cz+avXsCeKHHqYe+VKunV22PyWvK1TRZAAAOdbYPz1mWJacz9oowp9OpG2644ZBomAKO2ATwWfXj4xomKXfTZAEA2WtEgZt55wbBgM/aLioqGoxxZLyeCeC1R43UklcaE26bi2myAIDsFZl7LhQ2JXEkJFVJNU2/+93vVFxcHP3dNE398Y9/VHl57GX3M2fOHJTBZZKWHgnfHaG+T/j2+UMaVURXDwBIv3tf3KBAyNT8GTWSDNE4pcZ203T44Yfrhz/8Ycyy8vJy/exnP4tZZhhGTjZNpT0SvvNcfR/ZJE0WAJApus89h9TZ/mZ/5ZVXhnIcGS+SAL6y6xDdmzv2q66yPOGkvdE0Wa6iAwAgZ5ATb5PHjE0A/+HK7bqybnxcIjhpsgAA5CaOISWh0DJ1X1cCeCSn6d4LaxLkNLELFACAXEPTlKQ8y9QR40rl9fpkWZJMU3lO46OTvtnDBABATqJpSlHQMNQaNmVakmVJBztIBAcAIJfRNKVg1/52zV++Uf922tEkggMAcIjgRPAkBQ1DN73wfzr+8BEkggMAcAihaUqSL2hqxRavao8amTBuQPooERwAAOQOmqYk+fwhSfYSwQEAyATMPTc4OKcpSZGkbxLBAQDZIjL3XDBkyuKc25SxpylJJW6HPlFVEU0ETySaCA4AQIbYt++gDuw/KHqm1PHNniS3Zenei0/Upt0turJufFzjRCI4ACATWZZFwzRAHENKweEjC7Rg+iS1hkzNn35CgpwmTgIHACDX0DSlyG1ZGtktVqDcRSI4AAC5jKZpkIQchnxBUwc7QhpZ6FEgbKrVT0o4AAC5gqZpELQbhuYtXa/V7+3XQ1+q1XdefoeUcAAAcgwngg9QyGFo3rL1WtHYrFn140kJBwAgR9E0DZAvaGpFV5NESjgAALmLpmmAuid/kxIOAEDuomkaoO7J36SEAwCQu2iaBqjE7VBDVYUkkRIOAEAO41t8gFympYUzqtVQVaEfrtxOSjgAIOMw59zg4HjRICiwLN0/szqa03T3jMkJcpo4CRwAkB6+ljamUBkEad3TtGfPHs2dO1ennnqqGhoatGjRInV0dCTc9tprr9Vxxx0X8/Pqq68O84h75zItjXIaOrLQrWJZKnMa+liRW6OcBnuYAADIAWnb02RZlubOnavS0lL97Gc/04EDB3TrrbfK4XDopptuitt+69atWrx4sc4444zoshEjRgznkAEAwCEsbU3Ttm3b9NZbb2nVqlWqqOg8kXru3Lm677774pqmQCCgnTt3qqamRqNHj07HcAEAwCEubYfnRo8erSeffDLaMEW0trbGbbtt2zYZhqGjjjpquIYHAAAQI217mkpLS9XQ0BD93TRNPfPMMzr99NPjtt22bZuKi4t144036vXXX9dhhx2mG264QWeeeWbSj2sMcCaTyO0Hej/plgt1UENmoIbMkQt1UMPQybTxZKOMuXpu8eLF2rhxo55//vm4ddu2bZPf71d9fb1mz56tl19+Wddee61+8YtfqKamJqnHKS8vGZTxDtb9pFsu1EENmYEaMkcu1EENg6usrDjdQ8gJhpUBwQ2LFy/W008/rQceeEDnnHNO3HrTNOXz+WJO/L7mmms0evRoLViwIKnHam72DeiyS8PofCMM9H7SLRfqoIbMQA2ZIxfqoIbEKioG1oDt29cqkyu5+2TnOU77nqYFCxbo5z//uRYvXpywYZIkh8MRd6XchAkT1NjYmPTjWZYG5R/xYN1PuuVCHdSQGaghc+RCHdQw+DJpLNkqrTlNS5Ys0bPPPqvvfe97Ou+883rd7uabb9Ytt9wSs2zTpk2aMGHCUA8RAABAUhqbpq1bt+rRRx/Vf/zHf2jq1KlqamqK/khSU1OT/H6/JGnatGlavny5li1bpnfffVdLlizR6tWrdfnll6dr+AAA4BCTtsNzf/7znxUOh/XYY4/psccei1m3efNm1dfXa9GiRbrooov0mc98RnfccYcee+wx7dq1S1VVVXryySd15JFHpmn0AABkj5LSQh3Yf5BDdAOUESeCDyevd+AngrsL87TX55fZdbz6YEf3Oeay4+k0jM6T3gb6fKQTNWQGasgcuVAHNSQ2evTAr8RrbuZk8L7YeY7TfiJ4tmmXoZt/uVb/durH9PSq7VrV2Bxd11BVoYUzqlWQre90AADQq7SeCJ5tQg5Dty5br+PHlcY1TJK0YotX8369QSEHCWIAAOQamqYk+IKmVjQ2q/aokXENU8SKLV75guYwjwwAAAw1mqYk+PwhSVJHqO+mKLIdAADIHTRNSSjJ7zwFLM/V99MW2Q4AAOQOmqYklLgdaqiq0Js79quusjzhNg1VFSpx87QCAJBr+HZPgsu0dM+Mam3e3aIr68bHNU4NVRW6Z8bkrIkdAAAA9nEcKUkFsvSdS6Zor8+v+dNPSJDTxEngAADkIpqmFIwo9CjY1hENLSt3uTv/wh4mAAByFk1TkkKGoXe9B9UaMNXWEdaIguxKAgcAAKmhaUqC3zD0/n6/Hn61kSRwAEDWCIVNSXxHDRQngtsUchhaubU5rmGSSAIHAGQ2l9Mhie+ogaJpsskXNDWmNJ8kcAAADlE0TTb5/CGSwAEAOITRNNlUku8iCRwAgEMYTZNNJW6H9vo6SAIHAOAQxa4Rm1ympfoJZRpfUSRJcVfPdSaBc04TAAC5iqYpCfmWpWNG5OmemTVqDYTUFgirNN+lUpLAAQDIeTRNSXJZlg6rKJbX65MVORxHsCUAADmPk3AAAABsoGkCAACwgaYJAADABpomAAByXDBkymJ+1AGjaQIAIMf5WtpEzzRwNE0AAAA20DQBAADYQNMEAABgA00TAACADTRNAAAANtA0AQAA2EDTBAAAYANNEwAAgA00TQAAADbQNAEAANhA0wQAQM5jDpXBQNMEAEDOM9I9gJxA0wQAAGBDWpumPXv2aO7cuTr11FPV0NCgRYsWqaOjI+G2Gzdu1CWXXKIpU6bo4osv1vr164d5tAAA4FCWtqbJsizNnTtX7e3t+tnPfqYHHnhAr776qh588MG4bdva2jR79mydcsop+tWvfqXa2lpdffXVamtrG/6BAwCAQ1LamqZt27bprbfe0qJFi1RVVaVTTjlFc+fO1W9/+9u4bV966SXl5eXpxhtv1LHHHqt58+apqKhIv//979MwcgAAcChKW9M0evRoPfnkk6qoqIhZ3traGrft2rVrNXXqVBlG54lshmHo5JNP1ltvvTUcQwUAAEhf01RaWqqGhobo76Zp6plnntHpp58et21TU5PGjBkTs6y8vFwffPDBkI8TAABAklzpHkDE4sWLtXHjRj3//PNx69rb2+XxeGKWeTweBQKBpB/HGOBVl5HbD/R+0i0X6qCGzEANmSMX6qCGoZNp48lGGdE0LV68WD/+8Y/1wAMPaOLEiXHr8/Ly4hqkQCCg/Pz8pB+rvLwk5XEOxf2kWy7UQQ2ZgRoyRy7UQQ2Dq6ysON1DyAlpb5oWLFign//851q8eLHOOeechNuMHTtWXq83ZpnX6407ZGdHc7NP1gCCUQ2j840w0PtJt1yogxoyAzVkjlyogxoSq6gYWAO2b1+rTDNLn9BhYuc5TmvTtGTJEj377LP63ve+p3PPPbfX7aZMmaIf/OAHsixLhmHIsiytWbNG11xzTdKPaVkalH/Eg3U/6ZYLdVBDZqCGzJELdVDD4MuksWSrtJ0IvnXrVj366KP6j//4D02dOlVNTU3RH6nz5G+/3y9JOvfcc9XS0qKFCxeqsbFRCxcuVHt7uz772c+ma/gAAGQROqbBkLam6c9//rPC4bAee+wx1dfXx/xIUn19vV566SVJUnFxsR5//HGtXr1aF110kdauXasnnnhChYWF6Ro+AABZhLPAB0PaDs/Nnj1bs2fP7nX95s2bY34/8cQTtXTp0qEeFgAAQEJM2AsAAGADTRMAAIANNE0AAAA20DQBAADYQNMEAABgA00TAACADTRNAAAANtA0AQAA2EDTBAAAYANNEwAAOY+55wYDTVMKDrQFtC9k6b2DQX0YthRyMKcPACCT8T01GNI291y2apehr/38Ta3Y4o0ua6iq0MIZ1Sqw6OQBAMhV7GlKQshh6NZl62MaJklascWreb/ewB4nAAByGE1TEnxBUysamxOuW7HFK1/QHOYRAQCA4ULTlASfPzSg9QAAIHvRNCWhJL/vU8D6Ww8AALIXTVMSStwONVRVJFzXUFWhEjdPJwAAuYpv+SS4TEv3zKjWJ3o0Tg1VFbpnxmS5TK6eAwAgV3E8KUkFsvTwl2q1p8Uvnz+kknyXStwOuUxOAgcAIJfRNKVgRKFHwbYOjSpyK+Qw5AuaPRoo9jgBAJBraJoGoN0wNG/p+pgYAoIuAQDITZzTlKKgYWjesvVxuU0EXQIAMg//kR8MNE0pIugSAJA9+I/8YKBpShFBlwAAHFpomlJE0CUAAIcWmqYUEXQJAMChhW/2FLktSwtnVMc1TgRdAgCQmziGNAAFlqX7Z1YnyGniJHAAAHINTdMAuUxLo5yGRhW5OxewhwkAgJzE4TkAAAAbaJoAAABsoGkCAACwgaYJAADABpomAAByHhcpDQaaJgAAch5zzw0GmiYAAAAbaJoAAABsoGkCAACwISOapkAgoOnTp+u1117rdZtrr71Wxx13XMzPq6++OoyjBAAAh7K0T6PS0dGhb3zjG9qyZUuf223dulWLFy/WGWecEV02YsSIoR4eAACApDQ3TY2NjfrGN74hy+r7UshAIKCdO3eqpqZGo0ePHqbRAQAAfCSth+def/11nXbaafrFL37R53bbtm2TYRg66qijhmlkAAAAsdK6p+nSSy+1td22bdtUXFysG2+8Ua+//roOO+ww3XDDDTrzzDOTfkxjgFEVkdsP9H7SLRfqoIbMQA2ZIxfqoIahk2njyUZpP6fJjm3btsnv96u+vl6zZ8/Wyy+/rGuvvVa/+MUvVFNTk9R9lZeXDMqYBut+0i0X6qCGzEANmSMX6qCGwVVWVpzuIeSErGiarrvuOn35y1+Onvh9/PHHa8OGDXruueeSbpqam33q5xSqPhlG5xthoPeTbrlQBzVkBmrIHLlQBzUkVlExsAZs375WmWaWPqHDxM5znBVNk8PhiLtSbsKECWpsbEz6vixLg/KPeLDuJ91yoQ5qyAzUkDlyoQ5qGGxWBo0le2VETlN/br75Zt1yyy0xyzZt2qQJEyakaUQAAGQTTmgaDBnbNDU1Ncnv90uSpk2bpuXLl2vZsmV69913tWTJEq1evVqXX355mkcJAAAOFRnbNNXX1+ull16SJH3mM5/RHXfcoccee0zTp0/XK6+8oieffFJHHnlkmkcJAAAOFRlzTtPmzZv7/P2SSy7RJZdcMpxDAgAAiMrYPU0AAACZhKYJAADABpomAAAAG2iaAAAAbKBpAgAAsIGmCQAAwAaaJgAAABtomgAAyHlMPDcYaJoAAMh5zD03GGiaAAAAbKBpAgAAsIGmCQAAwAaaJgAAABtomgAAAGygaQIAALCBpgkAAMAGmiYAAAAbaJoAAABsoGkCAACwgaYJAICcx9xzg4GmCQCAnMfcc4OBpgkAAMAGmiYAAAAbaJoAAABsoGkCAACwgaYJAADABpomAAAAG2iaAAAAbKBpAgAAsIGmCQAAwAaaJgAAABtomgAAyHElpYUymEllwGiaAADIcW6XQwZd04DRNAEAANhA0wQAAGADTRMAAIANNE0AAAA2ZETTFAgENH36dL322mu9brNx40ZdcsklmjJlii6++GKtX79+GEcIAAAOdWlvmjo6OvT1r39dW7Zs6XWbtrY2zZ49W6eccop+9atfqba2VldffbXa2tqGcaQAAOBQltamqbGxUV/4whf03nvv9bndSy+9pLy8PN1444069thjNW/ePBUVFen3v//9MI001oG2gJpDlv7VGlRT0FSrDIUdXMoJAEAuc6XzwV9//XWddtpp+trXvqaTTjqp1+3Wrl2rqVOnRjMmDMPQySefrLfeeksXXXTRMI22U7sMfe1/3tSKRm90WV1luW6YVqUjSvOUb1nDOh4AADA80to0XXrppba2a2pqUmVlZcyy8vLyPg/pDYWQw9CtS9drRWNzzPJVXb9PP/FwffLYMrlMGicAAHJNWpsmu9rb2+XxeGKWeTweBQKBpO9rIIGovqAZ1zBFrGps1qy68fIFTZW5Mv9QXeR5yOaAWGrIDNSQOXKhDmoYOoaReWPKNlnRNOXl5cU1SIFAQPn5+UnfV3l5Scrj2PHeh32u7wiZaguENfGwUSk/xnAbyPORKaghM1BD5siFOqhhcIXCpsrKitM9jKyXFU3T2LFj5fV6Y5Z5vV6NGTMm6ftqbvYp1dOOijzOPtfnuRwq9Djl9fpSe4BhZBidb+iBPB/pRg2ZgRoyRy7UQQ2JVVQMrAFrOXBQpjk4Y8lVdp7jrGiapkyZoh/84AeyLEuGYciyLK1Zs0bXXHNN0vdlWUr5H3GJ26GGqgqt2OKNW1dXWa69vg6dMKZIVhad0zSQ5yNTUENmoIbMkQt1UMPgMs3MGUs2S3tOU2+amprk9/slSeeee65aWlq0cOFCNTY2auHChWpvb9dnP/vZYR2Ty7R0z4xqNVRVxCyPXD3XMKGck8ABAMhRGbunqb6+XosWLdJFF12k4uJiPf7447rjjjv03HPP6bjjjtMTTzyhwsLCYR9XgSwt+VKtPmjxq8UfUqHHqUK3UwUOycm+TwAAclbGNE2bN2/u8/cTTzxRS5cuHc4h9WpEoUfBtg6VFbm7llgS/RIAADktYw/PAQAAZBKaJgAAABtomgAAAGygaQIAALCBpgkAAMAGmiYAAAAbaJoAAABsoGkCAACwgaYJAADABpomAAAAG2iaAAAAbKBpAgAAsIGmCQAAwAZXugcw3AxjcG4/0PtJt1yogxoyAzVkjlyogxqQyQzLsqx0DwIAACDTcXgOAADABpomAAAAG2iaAAAAbKBpAgAAsIGmCQAAwAaaJgAAABtomgAAAGygaQIAALCBpikJHR0duvXWW3XKKaeovr5eP/zhD9M9pH69/PLLOu6442J+5s6dK0nauHGjLrnkEk2ZMkUXX3yx1q9fn+bRxgsEApo+fbpee+216LIdO3boiiuu0EknnaTPfe5zWrlyZcxt/va3v2n69OmaMmWKvvKVr2jHjh3DPewYiWq4++67416XZ555Jrr+t7/9rc4++2xNmTJFc+bM0b59+9IxdO3Zs0dz587VqaeeqoaGBi1atEgdHR2Ssud16KuGbHkdJOndd9/Vv//7v6u2tlaf/OQn9eSTT0bXZctr0VcN2fRaRMyePVs333xz9Pf+PlMzsQYkyYJtd911l3X++edb69evt/74xz9atbW11u9+97t0D6tPjz76qHX11Vdbe/fujf4cOHDAOnjwoFVXV2fde++9VmNjo7VgwQLr4x//uHXw4MF0DznK7/dbc+bMsSZOnGj94x//sCzLskzTtM4//3zrG9/4htXY2Gh9//vft6ZMmWK9//77lmVZ1vvvv2+ddNJJ1lNPPWW988471n/+539a06dPt0zTzJgaLMuyrrjiCuvxxx+PeV3a2tosy7KstWvXWieeeKK1dOlS6+2337Yuv/xya/bs2cM+dtM0rS984QvWVVddZb3zzjvWP//5T+vTn/60de+992bN69BXDZaVHa+DZVlWOBy2PvOZz1jf+MY3rO3bt1t/+ctfrJNPPtn6zW9+kzWvRV81WFb2vBYRv/3tb62JEydaN910k2VZVr+fqZlYA5JH02TTwYMHrZqampgvvkceecS6/PLL0ziq/n3jG9+wvvvd78Yt/+Uvf2lNmzYt+sFpmqb16U9/2nrhhReGe4gJbdmyxbrgggus888/P6bh+Nvf/maddNJJMc3dV7/6Veuhhx6yLMuyHnzwwZjXpK2tzaqtrY153YZLbzVYlmU1NDRYK1asSHi7b33rW9EPYsuyrF27dlnHHXec9d577w35mLtrbGy0Jk6caDU1NUWXLV++3Kqvr8+a16GvGiwrO14Hy7KsPXv2WP/5n/9p+Xy+6LI5c+ZYd9xxR9a8Fn3VYFnZ81pYlmV9+OGH1ic+8Qnr4osvjo6rv8/UTKsBqeHwnE2bNm1SKBRSbW1tdNnUqVO1du1amaaZxpH1bevWrTrmmGPilq9du1ZTp06V0TWjpGEYOvnkk/XWW28N7wB78frrr+u0007TL37xi5jla9eu1QknnKDCwsLosqlTp0bHvXbtWp1yyinRdQUFBaqurk5LXb3V0Nraqj179iR8XaT4GsaNG6fDDz9ca9euHcrhxhk9erSefPJJVVRUxCxvbW3Nmtehrxqy5XWQpDFjxujBBx9UcXGxLMvS6tWr9c9//lOnnnpq1rwWfdWQTa+FJN13332aMWOGKisro8v6+0zNtBqQGpomm5qamjRq1Ch5PJ7osoqKCnV0dGj//v3pG1gfLMvS9u3btXLlSp1zzjk6++yz9Z3vfEeBQEBNTU0aM2ZMzPbl5eX64IMP0jTaWJdeeqluvfVWFRQUxCzvb9yZVFdvNWzdulWGYej73/++PvGJT+iCCy7Q0qVLo+v37t2bETWUlpaqoaEh+rtpmnrmmWd0+umnZ83r0FcN2fI69DRt2jRdeumlqq2t1TnnnJM1r0V3PWvIptfi73//u9544w1dd911Mcv7e54zqQakzpXuAWSL9vb2mIZJUvT3QCCQjiH1a9euXdFxP/jgg9q5c6fuvvtu+f3+XuvJ1Foi+ht3NtS1bds2GYahCRMm6PLLL9c///lP3X777SouLtanP/1p+f3+jKxh8eLF2rhxo55//nn96Ec/ysrXoXsNGzZsyMrX4aGHHpLX69Wdd96pRYsWZeV7omcN1dXVWfFadHR06I477tD8+fOVn58fs66/5zlTasDA0DTZlJeXF/ePO/J7zzdPpjjiiCP02muvacSIETIMQ5MmTZJpmvrWt76lU089NWE9mVpLRF5eXtyeve7j7u11Ki0tHa4h9mvmzJk666yzNHLkSEnS8ccfr3/961/6+c9/rk9/+tO91tBzj9VwWrx4sX784x/rgQce0MSJE7PydehZQ1VVVda9DpJUU1MjqfML/Jvf/KYuvvhitbe3x2yT6a9FzxrWrFmTFa/FkiVLNHny5Ji9lxG9jbG/1yHd/56QHA7P2TR27Fh9+OGHCoVC0WVNTU3Kz8/PqC/knkaOHBk9xi5Jxx57rDo6OjR69Gh5vd6Ybb1eb9zu40wzduzYPsfd2/rRo0cP2xj7YxhG9MshYsKECdqzZ4+kzKthwYIFevrpp7V48WKdc845krLvdUhUQza9Dl6vV3/6059illVWVioYDPb7Xs6UOvqqobW1NSteixdffFF/+tOfVFtbq9raWi1fvlzLly9XbW1t1r0nkBqaJpsmTZokl8sVc/Lk6tWrVVNTI4cjM5/GFStW6LTTTov5X+jbb7+tkSNHaurUqXrzzTdlWZakzvOf1qxZoylTpqRruLZMmTJFGzZskN/vjy5bvXp1dNxTpkzR6tWro+va29u1cePGjKrrv//7v3XFFVfELNu0aZMmTJggKb6G3bt3a/fu3WmpYcmSJXr22Wf1ve99T+edd150eTa9Dr3VkE2vw86dO3X99ddHmwhJWr9+vcrKyjR16tSseC36quGnP/1pVrwWP/3pT7V8+XItW7ZMy5Yt07Rp0zRt2jQtW7ZMU6ZM6fMzNVNqwACl8cq9rHP77bdb5513nrV27Vrr5Zdftk4++WTrD3/4Q7qH1Sufz2c1NDRYX//6162tW7daf/nLX6z6+nrriSeesHw+n3X66adbCxYssLZs2WItWLDAqqury6icpojul+uHQiHrc5/7nPVf//Vf1jvvvGM9/vjj1kknnRTNpNmxY4dVU1NjPf7449FMmvPPPz9tOU0R3WtYu3atdcIJJ1hPPvmk9e6771o/+9nPrMmTJ1tr1qyxLMuy1qxZY1VXV1vPPfdcNM/l6quvHvYxNzY2WpMmTbIeeOCBmOycvXv3Zs3r0FcN2fI6WFbnv/uLLrrImjVrlrVlyxbrL3/5i/Xxj3/c+tGPfpQ1r0VfNWTTa9HdTTfdFI0R6O8zNVNrQHJompLQ1tZm3XjjjdZJJ51k1dfXW08//XS6h9Svd955x7riiiusk046yaqrq7Mefvjh6Ifl2rVrrZkzZ1o1NTXW5z//eWvDhg1pHm1iPTOO/vWvf1mXXXaZNXnyZOu8886zVq1aFbP9X/7yF+szn/mMdeKJJ1pf/epXMyIHpWcNL7/8snX++edbNTU11rnnnhvXfL/wwgvWmWeeaZ100knWnDlzrH379g33kK3HH3/cmjhxYsIfy8qO16G/GrLhdYj44IMPrDlz5lgnn3yyVVdXZz322GPR93I2vBaW1XcN2fRaRHRvmiyr/8/UTKwByTEsq2tfIgAAAHqVmSfjAAAAZBiaJgAAABtomgAAAGygaQIAALCBpgkAAMAGmiYAAAAbaJoAAABsoGkCAACwgaYJQNS0adN03HHHRX+qq6t17rnn6kc/+lHC7Xfu3KnjjjtOO3fuHN6BAkAauNI9AACZ5dZbb9XnPvc5SVIoFNI//vEPzZs3TyNHjtTMmTNjth03bpxWrlypsrKyNIwUAIYXe5oAxCgpKdHo0aM1evRojRs3ThdeeKHOOOMM/fGPf4zb1ul0avTo0XI6nWkYKQAML5omAP1yuVxyu9368pe/rAULFuhTn/qUPvnJT2rz5s0xh+eam5v1X//1Xzr55JNVV1en733ve4pMb7l7925dc801mjJliqZNm6YlS5YoHA6nsywASAqH5wD0KhgM6tVXX9WqVat0zz336Je//KV+9atf6amnnpLH41FRUVHM9nPmzJHT6dQzzzyjgwcP6mtf+5rGjBmjyy67TNdff72OP/54LV26VE1NTZo/f74Mw9CcOXPSVB0AJMewIv8NBHDImzZtmpqamuRydf5/yu/3Kz8/X5deeqm+9a1v6ctf/rIqKir0wAMPSOo8EfxTn/qU/vznP6u1tVUzZszQn/70Jx111FGSpD/96U9qa2vT6NGj9fWvf12rVq2Sw9G5g/uVV17RLbfcotdeey09xQJAktjTBCDG3Llz9ZnPfEaSlJeXF3fO0hFHHJHwdtu3b9fIkSOjDZMknX322ZKkZ555Rvv379fUqVOj60zTlN/v14cffqhRo0YNRSkAMKhomgDEKC8v19FHH93r+ry8vITL3W53r7cJhUKaMGGCHn300bh1JSUlyQ8SANKAE8EBDIqjjz5a+/fv1+7du6PLfvKTn+i6667T+PHjtWvXLpWVlenoo4/W0UcfrZ07d+qhhx6SYRhpHDUA2EfTBGBQVFVV6fTTT9e8efO0efNmvfbaa3riiSdUV1en+vp6HXHEEfrWt76lzZs364033tDtt9+ugoIC4goAZA2aJgCDZvHixSooKNAXv/hFfeMb39AXv/hFXXrppXI6nXrsscdkmqa+8IUv6IYbbtCZZ56p2267Ld1DBgDbuHoOAADABvY0AQAA2EDTBAAAYANNEwAAgA00TQAAADbQNAEAANhA0wQAAGADTRMAAIANNE0AAAA20DQBAADYQNMEAABgA00TAACADTRNAAAANvx/FUSraZsHmRIAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "sns.set_style(\"darkgrid\")\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# Select rows where both 'Rating' and 'Size' values are present (ie. the two values are not null)\n",
    "apps_with_size_and_rating_present = apps.dropna(subset=[\"Rating\", \"Size\"])\n",
    "\n",
    "# Subset for categories with at least 250 apps\n",
    "large_categories = apps_with_size_and_rating_present.groupby(\"Category\").filter(lambda x: len(x) >= 250)\n",
    "\n",
    "# Plot size vs. rating\n",
    "plt1 = sns.jointplot(x = large_categories[\"Size\"], y = large_categories[\"Rating\"])\n",
    "\n",
    "# Select apps whose 'Type' is 'Paid'\n",
    "paid_apps = apps_with_size_and_rating_present[apps_with_size_and_rating_present['Type'] == 'Paid']\n",
    "\n",
    "# Plot price vs. rating\n",
    "plt2 = sns.jointplot(x = paid_apps['Price'], y = paid_apps['Rating'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **7. Relation between app category and app price**\n",
    "\n",
    "So now comes the hard part. How are companies and developers supposed to make ends meet? What monetization strategies can companies use to maximize profit? The costs of apps are largely based on features, complexity, and platform.\n",
    "\n",
    "There are many factors to consider when selecting the right pricing strategy for your mobile app. It is important to consider the willingness of your customer to pay for your app. A wrong price could break the deal before the download even happens. Potential customers could be turned off by what they perceive to be a shocking cost, or they might delete an app they’ve downloaded after receiving too many ads or simply not getting their money's worth.\n",
    "\n",
    "Different categories demand different price ranges. Some apps that are simple and used daily, like the calculator app, should probably be kept free. However, it would make sense to charge for a highly-specialized medical app that diagnoses diabetic patients. Below, we see that *Medical* and *Family* apps are the most expensive. Some medical apps extend even up to \\$80! All game apps are reasonably priced below \\$20."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>Category</th>\n",
       "      <th>App</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3327</th>\n",
       "      <td>FAMILY</td>\n",
       "      <td>most expensive app (H)</td>\n",
       "      <td>399.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3465</th>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>💎 I'm rich</td>\n",
       "      <td>399.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3469</th>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>I'm Rich - Trump Edition</td>\n",
       "      <td>400.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4396</th>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>I am rich</td>\n",
       "      <td>399.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4398</th>\n",
       "      <td>FAMILY</td>\n",
       "      <td>I am Rich Plus</td>\n",
       "      <td>399.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4399</th>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>I am rich VIP</td>\n",
       "      <td>299.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4400</th>\n",
       "      <td>FINANCE</td>\n",
       "      <td>I Am Rich Premium</td>\n",
       "      <td>399.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4401</th>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>I am extremely Rich</td>\n",
       "      <td>379.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4402</th>\n",
       "      <td>FINANCE</td>\n",
       "      <td>I am Rich!</td>\n",
       "      <td>399.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4403</th>\n",
       "      <td>FINANCE</td>\n",
       "      <td>I am rich(premium)</td>\n",
       "      <td>399.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4406</th>\n",
       "      <td>FAMILY</td>\n",
       "      <td>I Am Rich Pro</td>\n",
       "      <td>399.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4408</th>\n",
       "      <td>FINANCE</td>\n",
       "      <td>I am rich (Most expensive app)</td>\n",
       "      <td>399.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4410</th>\n",
       "      <td>FAMILY</td>\n",
       "      <td>I Am Rich</td>\n",
       "      <td>389.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4413</th>\n",
       "      <td>FINANCE</td>\n",
       "      <td>I am Rich</td>\n",
       "      <td>399.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4417</th>\n",
       "      <td>FINANCE</td>\n",
       "      <td>I AM RICH PRO PLUS</td>\n",
       "      <td>399.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8763</th>\n",
       "      <td>FINANCE</td>\n",
       "      <td>Eu Sou Rico</td>\n",
       "      <td>394.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8780</th>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>I'm Rich/Eu sou Rico/أنا غني/我很有錢</td>\n",
       "      <td>399.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Category                                App   Price\n",
       "3327     FAMILY             most expensive app (H)  399.99\n",
       "3465  LIFESTYLE                         💎 I'm rich  399.99\n",
       "3469  LIFESTYLE           I'm Rich - Trump Edition  400.00\n",
       "4396  LIFESTYLE                          I am rich  399.99\n",
       "4398     FAMILY                     I am Rich Plus  399.99\n",
       "4399  LIFESTYLE                      I am rich VIP  299.99\n",
       "4400    FINANCE                  I Am Rich Premium  399.99\n",
       "4401  LIFESTYLE                I am extremely Rich  379.99\n",
       "4402    FINANCE                         I am Rich!  399.99\n",
       "4403    FINANCE                 I am rich(premium)  399.99\n",
       "4406     FAMILY                      I Am Rich Pro  399.99\n",
       "4408    FINANCE     I am rich (Most expensive app)  399.99\n",
       "4410     FAMILY                          I Am Rich  389.99\n",
       "4413    FINANCE                          I am Rich  399.99\n",
       "4417    FINANCE                 I AM RICH PRO PLUS  399.99\n",
       "8763    FINANCE                        Eu Sou Rico  394.99\n",
       "8780  LIFESTYLE  I'm Rich/Eu sou Rico/أنا غني/我很有錢  399.99"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(15, 8)\n",
    "\n",
    "# Select a few popular app categories\n",
    "popular_app_cats = apps[apps.Category.isin(['GAME', 'FAMILY', 'PHOTOGRAPHY',\n",
    "                                            'MEDICAL', 'TOOLS', 'FINANCE',\n",
    "                                            'LIFESTYLE','BUSINESS'])]\n",
    "\n",
    "# Examine the price trend by plotting Price vs Category\n",
    "ax = sns.stripplot(x = popular_app_cats['Price'], y = popular_app_cats['Category'], jitter=True, linewidth=1)\n",
    "ax.set_title('App pricing trend across categories')\n",
    "\n",
    "# Apps whose Price is greater than 200\n",
    "apps_above_200 = apps[apps['Price'] > 200]\n",
    "apps_above_200[['Category', 'App', 'Price']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **8. Filter out \"junk\" apps**\n",
    "\n",
    "It looks like a bunch of the really expensive apps are \"junk\" apps. That is, apps that don't really have a purpose. Some app developer may create an app called *I Am Rich Premium or most expensive app (H)* just for a joke or to test their app development skills. Some developers even do this with malicious intent and try to make money by hoping people accidentally click purchase on their app in the store.\n",
    "\n",
    "Let's filter out these junk apps and re-do our visualization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'App pricing trend across categories after filtering for junk apps')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Select apps priced below $100\n",
    "apps_under_100 = popular_app_cats[popular_app_cats['Price'] < 100]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(15, 8)\n",
    "\n",
    "# Examine price vs category with the authentic apps (apps_under_100)\n",
    "ax = sns.stripplot(x = apps_under_100['Price'], y = apps_under_100['Category'], data = apps, jitter = True, linewidth = 1)\n",
    "ax.set_title('App pricing trend across categories after filtering for junk apps')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **9. Popularity of paid apps vs free apps**\n",
    "\n",
    "For apps in the Play Store today, there are five types of pricing strategies: free, freemium, paid, paymium, and subscription. Let's focus on free and paid apps only. Some characteristics of free apps are:\n",
    "\n",
    "- Free to download.\n",
    "- Main source of income often comes from advertisements.\n",
    "- Often created by companies that have other products and the app serves as an extension of those products.\n",
    "- Can serve as a tool for customer retention, communication, and customer service.\n",
    "\n",
    "Some characteristics of paid apps are:\n",
    "\n",
    "- Users are asked to pay once for the app to download and use it.\n",
    "- The user can't really get a feel for the app before buying it.\n",
    "\n",
    "Are paid apps installed as much as free apps? It turns out that paid apps have a relatively lower number of installs than free apps, though the difference is not as stark as I would have expected!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "name": "Paid",
         "type": "box",
         "y": [
          100000,
          100000,
          100000,
          10000,
          1000,
          50,
          100,
          100,
          100,
          1000,
          1000,
          500000,
          100000,
          100000,
          100000,
          10000,
          50000,
          100000,
          10000,
          100000,
          100000,
          100000,
          100000,
          100000,
          100000,
          100000,
          100000,
          100000,
          100000,
          5000,
          5000,
          1000,
          500,
          100000,
          10000,
          10000,
          1000,
          1000,
          1000,
          100,
          100,
          1000,
          5000,
          5000,
          1000,
          10000,
          10000,
          5000,
          1000,
          10000,
          10000,
          50000,
          10000000,
          1000000,
          100000,
          10000,
          10000,
          10000,
          10000,
          10000,
          5000,
          5000,
          100000,
          50000,
          1000,
          10000,
          50000,
          1000,
          1000,
          10000,
          1000,
          1000,
          1000,
          100,
          5000,
          5000,
          500,
          1000,
          10000,
          1000,
          100,
          1000,
          500,
          5000,
          1000,
          500,
          1000,
          5000,
          10000,
          1000,
          10000,
          100,
          1000,
          5000,
          10000,
          1000,
          1000,
          100,
          50000,
          1000,
          1000,
          5000,
          5000,
          1000,
          10000,
          50,
          1000,
          10000,
          1000,
          1000,
          500,
          500,
          1000,
          5000,
          1000,
          100,
          1,
          50,
          10,
          1,
          1000000,
          100000,
          100000,
          50000,
          1000000,
          1000000,
          10000,
          10000,
          100000,
          100000,
          100000,
          100,
          100,
          5000,
          1000,
          100,
          1000,
          500,
          50000,
          10000,
          10000,
          10000000,
          100000,
          100000,
          100000,
          10000,
          10,
          100000,
          500000,
          5,
          10,
          10,
          500,
          5000,
          1000,
          1000,
          100,
          100,
          5000,
          5000,
          500,
          5000,
          10,
          500,
          100,
          5000,
          500,
          100,
          10000,
          50000,
          1,
          1000000,
          10,
          10000,
          500,
          1000,
          100,
          1000,
          10000,
          10000,
          100000,
          1000,
          5000,
          100000,
          10000,
          1000,
          10000,
          1000,
          10000,
          100000,
          1000,
          5000,
          10000,
          10000,
          10000,
          10000,
          100,
          100,
          5000,
          100,
          5,
          100,
          1000,
          100,
          10,
          500,
          1,
          100,
          10000,
          10,
          0,
          100,
          100,
          1,
          100,
          5000,
          500,
          10,
          5000,
          100,
          50,
          1000,
          50000,
          100000,
          100000,
          50000,
          100,
          1000,
          1000,
          100,
          10000,
          100000,
          10000,
          5000,
          5000,
          10000,
          1000,
          10000,
          5000,
          10000,
          100000,
          50,
          50000,
          50000,
          10000,
          500,
          1000,
          10000,
          5000,
          10000,
          1000,
          10000,
          5000,
          50,
          10000,
          1000,
          100000,
          10000,
          50000,
          1000,
          1000000,
          10000,
          100,
          10,
          50000,
          10000,
          500000,
          1000,
          10000,
          10000,
          50000,
          10000,
          10000,
          100000,
          1000,
          10000,
          5000,
          100,
          1000,
          10000,
          1000,
          10,
          100000,
          1000,
          5000,
          100,
          500,
          5000,
          1,
          100,
          5000,
          1000,
          100,
          500,
          50000,
          100,
          10,
          100,
          50,
          10,
          50,
          10,
          10,
          0,
          10000,
          100000,
          10000,
          10000,
          50000,
          1000,
          1000,
          5000,
          1000,
          10000,
          5000,
          1000,
          10000,
          10000,
          5000,
          5000,
          1000,
          100000,
          100000,
          1000,
          1000,
          10,
          100,
          500,
          100,
          5,
          10,
          0,
          10,
          1000000,
          1,
          1000,
          1000000,
          50000,
          500000,
          1000000,
          100000,
          100000,
          100000,
          10000,
          1000,
          5000,
          100,
          1000,
          100,
          10000,
          100000,
          1000,
          10,
          1,
          1,
          10,
          1,
          1000,
          1000,
          1000,
          500,
          1000,
          1,
          5,
          100,
          10,
          0,
          5000,
          1000,
          1000,
          100,
          50,
          50000,
          10,
          50,
          100000,
          100000,
          1000,
          1000,
          1000,
          5000,
          50000,
          500,
          5000,
          10,
          100000,
          50000,
          10000,
          100,
          100000,
          50000,
          100000,
          50000,
          1,
          10,
          500,
          100,
          100,
          10000,
          50,
          5,
          10,
          100,
          50,
          100,
          500,
          10000,
          500,
          1000,
          500,
          1000,
          1000,
          10,
          5000,
          1000,
          100000,
          1000,
          1000,
          100,
          10,
          1000,
          1000,
          100,
          1000,
          50,
          1000,
          1,
          1000000,
          100000,
          5000,
          0,
          50000,
          10,
          50,
          1000,
          1000,
          10000,
          10,
          5,
          500,
          100000,
          1000,
          1000,
          100000,
          1000,
          500000,
          10000,
          100,
          1000,
          1000,
          1000,
          100,
          100,
          100,
          500,
          500,
          10000,
          100,
          1000,
          10000,
          10000,
          100,
          50,
          1000,
          1,
          1000,
          1000,
          1000,
          10,
          5000,
          500,
          50000,
          5,
          1000,
          50,
          10,
          10,
          1000,
          1000000,
          100000,
          10000,
          10000,
          50000,
          1000,
          10000,
          10,
          10,
          5,
          1000000,
          100,
          10,
          10,
          10,
          100000,
          10000,
          10000,
          100,
          10000,
          100000,
          100000,
          100000,
          10000,
          10000,
          50000,
          10000,
          10000,
          5000,
          100,
          100,
          1000,
          10,
          100,
          10,
          500,
          100,
          100,
          100,
          500000,
          100,
          10,
          10,
          100,
          100,
          1000,
          50,
          100,
          100,
          50000,
          1000,
          1000,
          100,
          100,
          5000,
          100,
          100,
          10000,
          5000,
          5000,
          100,
          10,
          10,
          1,
          1000,
          500,
          10000,
          1000,
          100000,
          10,
          10,
          10,
          1000,
          10,
          1000,
          1,
          5,
          10,
          100000,
          100000,
          10000,
          10000,
          500,
          50,
          500,
          10,
          10,
          1,
          50000,
          50,
          5000,
          10,
          10000,
          10,
          10,
          10,
          100,
          100,
          10000,
          50,
          1000,
          100,
          10,
          500000,
          1000,
          1,
          50000,
          10,
          1000,
          5,
          50,
          5000,
          10000,
          10,
          5000,
          1000,
          50000,
          50000,
          10000,
          10000,
          100000,
          10000,
          100000,
          100000,
          100000,
          1000,
          10000,
          500,
          50000,
          100000,
          100,
          1000,
          10000,
          50000,
          100000,
          50000,
          1000000,
          100,
          50,
          10000,
          10,
          50,
          1000000,
          100000,
          1000,
          10000,
          100000,
          5000,
          10000,
          1000,
          100,
          10000,
          5000,
          100000,
          100,
          10,
          500,
          50,
          50,
          50,
          10,
          100,
          50,
          500,
          10000,
          10000,
          10,
          1,
          1,
          1000000,
          500000,
          1000000,
          1000000,
          5,
          1000,
          1000,
          500,
          100,
          10000,
          1000,
          50,
          0,
          50000,
          50,
          10000,
          1000,
          500000,
          1000,
          100000,
          10000,
          1000,
          10000,
          1000,
          5000,
          1000,
          100000,
          10000,
          1000,
          100,
          100,
          1000000,
          500,
          50000,
          1000,
          50,
          100,
          100000,
          50,
          500,
          0,
          100000,
          10,
          500000,
          500,
          50000,
          1000,
          10000,
          0,
          10,
          0,
          100,
          10000,
          0,
          1000000,
          10000,
          100000,
          100000,
          500000,
          10000,
          50000,
          5000,
          5000,
          1000,
          5000,
          5000,
          5000,
          5000,
          50,
          100,
          500,
          100000,
          100,
          50000,
          100,
          10000,
          10000,
          10000,
          1000,
          1000,
          1000,
          100,
          5000,
          100,
          100000,
          10000,
          1000,
          1000,
          5000,
          5000,
          100000,
          10,
          10,
          10,
          10,
          10,
          10,
          5,
          10,
          50,
          100000,
          1000000,
          100,
          1,
          100,
          1000,
          10000,
          10000,
          50
         ]
        },
        {
         "name": "Free",
         "type": "box",
         "y": [
          10000,
          500000,
          5000000,
          50000000,
          100000,
          50000,
          50000,
          1000000,
          1000000,
          10000,
          1000000,
          1000000,
          10000000,
          100000,
          100000,
          5000,
          500000,
          10000,
          5000000,
          10000000,
          100000,
          100000,
          500000,
          100000,
          50000,
          10000,
          500000,
          100000,
          10000,
          100000,
          100000,
          50000,
          100000,
          100000,
          10000,
          100000,
          500000,
          5000000,
          10000,
          500000,
          10000,
          100000,
          10000000,
          100000,
          10000,
          10000000,
          100000,
          100000,
          100000,
          100000,
          1000000,
          100000,
          1000000,
          100000,
          100000,
          100000,
          50000,
          100000,
          100000,
          100000,
          10000,
          100000,
          1000000,
          100000,
          100000,
          10000,
          50000,
          5000000,
          100000,
          5000000,
          5000000,
          500000,
          10000000,
          100000,
          500000,
          50000,
          100000,
          1000000,
          100000,
          1000000,
          50000,
          1000000,
          500000,
          100000,
          1000000,
          1000000,
          100000,
          100000,
          1000000,
          100000,
          100000,
          1000000,
          1000000,
          1000000,
          1000000,
          500000,
          500000,
          100000,
          500000,
          1000000,
          100000,
          500000,
          1000000,
          500000,
          100000,
          1000000,
          50000,
          1000000,
          10000,
          1000000,
          100000,
          10000,
          50000,
          100000,
          10000,
          10000,
          10000,
          10000000,
          500000,
          1000000,
          50000,
          10000,
          1000000,
          50000,
          500000,
          500000,
          100000,
          10000,
          5000,
          10000,
          10000,
          100000,
          5000,
          100000,
          10000,
          10000,
          1000000,
          50000,
          10000,
          100000000,
          50000,
          100000,
          10000000,
          100000000,
          10000000,
          10000000,
          10000000,
          100000,
          1000000,
          10000000,
          500000,
          1000000,
          1000000000,
          5000000,
          100000,
          10000000,
          500000,
          10000000,
          1000000,
          1000000,
          500000,
          1000000,
          500000,
          10000,
          5000000,
          100000,
          5000000,
          500000,
          1000000,
          500000,
          500000,
          1000000,
          5000000,
          10000000,
          100000,
          100000,
          100000,
          50000,
          500000,
          10000000,
          50000,
          1000000,
          1000000,
          1000000,
          500000,
          100000,
          10000000,
          10000000,
          50000000,
          10000000,
          5000000,
          1000000,
          50000000,
          5000000,
          100000000,
          1000000,
          1000000,
          500000,
          10000000,
          5000000,
          1000000,
          50000000,
          10000000,
          1000000,
          10000000,
          5000000,
          5000000,
          5000000,
          5000000,
          100000,
          1000000,
          1000000,
          1000000,
          10000000,
          5000000,
          1000000,
          5000000,
          100000,
          10000000,
          1000000,
          1000000,
          100000,
          5000000,
          1000000,
          100000,
          50000000,
          5000000,
          100000,
          1000000,
          1000000,
          10000000,
          10000000,
          1000000,
          50000,
          5000000,
          5000000,
          100000,
          100000,
          1000000,
          500000,
          100000,
          500000,
          500000,
          1000000,
          1000000,
          1000000,
          100000,
          100000,
          1000000,
          1000000,
          10000000,
          100000,
          100000,
          5000000,
          50000,
          1000000,
          500000,
          10000000,
          10000,
          10000000,
          500000,
          1000000,
          500000,
          50000,
          50000,
          50000,
          1000000,
          10000,
          10000,
          10000,
          10000,
          10000,
          100000,
          5000000,
          100000,
          1000000,
          100000,
          1000000,
          1000000,
          1000000,
          1000000,
          100000,
          5000000,
          50000,
          100000,
          10000,
          10000,
          5000,
          500000,
          1000000,
          5000,
          1000,
          5000000,
          10000,
          50000,
          1000000,
          100000,
          1000000000,
          1000000000,
          10000000,
          1000000000,
          100000000,
          1000000000,
          1000000000,
          500000000,
          5000000,
          100000000,
          100000000,
          100000000,
          500000000,
          50000000,
          5000000,
          5000000,
          100000000,
          10000000,
          10000000,
          10000000,
          10000000,
          100000000,
          1000000,
          1000000,
          10000000,
          5000000,
          10000000,
          10000000,
          100000000,
          5000000,
          100000000,
          100000000,
          10000000,
          1000000,
          100000000,
          100000000,
          500000000,
          10000000,
          1000000,
          100000,
          10000000,
          10000000,
          10000000,
          500000000,
          5000000,
          5000000,
          10000000,
          10000000,
          5000000,
          50000000,
          1000000000,
          100000000,
          1000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          500000000,
          10000000,
          1000000,
          100000000,
          100000000,
          1000000,
          50000000,
          1000000,
          50000000,
          1000000,
          1000000,
          1000000,
          10000000,
          500000,
          500000,
          10000000,
          10000000,
          1000000,
          1000000,
          5000000,
          10000000,
          10000000,
          1000000,
          1000000,
          10000000,
          10000000,
          5000000,
          10000000,
          5000000,
          1000000,
          1000000,
          5000000,
          1000000,
          100000000,
          1000000,
          5000000,
          10000000,
          1000000,
          1000000,
          1000000,
          10000000,
          50000000,
          10000,
          5000000,
          1000000,
          500000,
          1000000,
          5000000,
          10000000,
          10000000,
          10000000,
          100000,
          500000,
          5000000,
          1000000,
          10000000,
          1000000,
          10000000,
          5000000,
          5000000,
          100000,
          500000,
          1000000,
          1000000,
          10000,
          1000000,
          1000000,
          100000,
          10000000,
          1000000,
          100000,
          500000,
          5000,
          500000,
          5000000,
          1000000,
          100000,
          1000000,
          1000000,
          100000,
          100000,
          500000,
          500000,
          500000,
          100000,
          500000,
          500000,
          100000,
          50000,
          1000000,
          1000000,
          100000,
          100000,
          100000,
          10000,
          100000,
          1000000,
          100000,
          10000000,
          500000,
          100000,
          1000000,
          50000,
          5000000,
          500000,
          100000,
          100000,
          500000,
          100000,
          10000,
          100000,
          1000000,
          50000,
          10000,
          1000000,
          100000,
          10000,
          10000,
          500000,
          500000,
          500000,
          10000,
          100000,
          100000,
          500000,
          1000000,
          10000,
          10000000,
          10000,
          100000,
          10000,
          1000000,
          50000,
          10000,
          500000,
          5000000,
          1000000,
          1000,
          5000,
          1000,
          500,
          5000,
          10000,
          100,
          10000,
          1000,
          100,
          1000,
          1000,
          1000,
          100,
          500,
          500,
          5000,
          100,
          100,
          50,
          5000,
          50,
          500,
          10,
          500,
          500,
          100,
          1000,
          10,
          100,
          10,
          500,
          500,
          10,
          100,
          100,
          10,
          10,
          100,
          50,
          100,
          100,
          10,
          500,
          1000,
          500,
          50,
          1,
          10,
          1000,
          1,
          50,
          100,
          10000,
          500,
          1000,
          10,
          5,
          10,
          100,
          1000,
          500000,
          500,
          10000,
          50000,
          10000,
          5000,
          10000,
          1000,
          10000,
          5000,
          100000000,
          10000000,
          100000,
          5000000,
          10000000,
          100000,
          5000000,
          1000000,
          500000,
          500000,
          1000000,
          1000000,
          5000000,
          1000000,
          500000,
          5000000,
          500000,
          1000000,
          10000000,
          10000000,
          1000000,
          5000000,
          50000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          500000,
          1000000,
          5000000,
          1000000,
          500000,
          500000,
          100000,
          10000000,
          100000,
          5000000,
          10000000,
          10000000,
          1000000,
          5000000,
          1000000,
          5000000,
          5000000,
          10000000,
          1000000,
          1000000,
          1000000,
          1000000,
          10000,
          50000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          100000,
          1000000,
          100000,
          10000,
          10000,
          50000,
          500000,
          100000,
          100000,
          100000,
          10000,
          100000,
          100000,
          50000,
          50000,
          100000,
          100000,
          5000000,
          10000000,
          1000000,
          1000000,
          5000000,
          5000000,
          1000000,
          500000,
          1000000,
          1000000,
          10000000,
          1000000,
          500000,
          1000000,
          1000000,
          50000,
          1000000,
          100000,
          100000,
          100000,
          100000,
          10000000,
          100000,
          10000,
          10000000,
          10000000,
          500000,
          5000000,
          500000,
          1000000,
          1000000,
          1000000,
          100000,
          1000000,
          100000,
          1000000,
          100000000,
          1000000,
          1000000,
          10000000,
          50000000,
          10000000,
          5000000,
          5000000,
          10000000,
          5000000,
          1000000000,
          100000000,
          5000000,
          1000000,
          5000000,
          5000000,
          1000000,
          1000000,
          10000000,
          100000000,
          5000000,
          10000000,
          1000000,
          10000000,
          50000000,
          5000000,
          10000000,
          1000000,
          10000000,
          1000000,
          10000000,
          50000000,
          1000000,
          100000000,
          50000000,
          1000000,
          5000000,
          50000000,
          100000000,
          1000000,
          100000,
          1000000,
          1000000,
          10000000,
          100000,
          100000,
          1000000,
          500000,
          100000,
          100000,
          1000000,
          1000000,
          10000000,
          1000000,
          10000000,
          10000000,
          10000000,
          50000,
          1000000,
          10000000,
          1000000,
          5000000,
          1000000,
          5000000,
          1000000,
          10000000,
          10000000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          500000,
          5000000,
          10000000,
          500000,
          1000000,
          1000000,
          10000000,
          1000000,
          10000000,
          10000000,
          1000000,
          10000000,
          1000000,
          10000000,
          100000,
          1000000,
          10000,
          100000,
          100000,
          5000000,
          100000,
          1000000,
          1000000,
          1000000,
          1000000,
          10000000,
          10000000,
          10000000,
          100000,
          5000000,
          500000,
          50000,
          5000000,
          1000000,
          10000,
          1000000,
          100000,
          10000,
          1000000,
          100000,
          100000,
          100000,
          50000,
          1000,
          1000000,
          10000,
          500,
          50000,
          100,
          100,
          100000,
          100000,
          500,
          100000,
          100,
          100000,
          100,
          1000,
          5000,
          100000,
          1000,
          100000,
          100,
          1000,
          50000,
          5000,
          100000,
          100,
          1000,
          1000,
          100,
          500,
          10000000,
          1000000,
          5000000,
          5000000,
          5000000,
          10000000,
          500000,
          5000000,
          10000000,
          1000000,
          1000000,
          10000000,
          5000000,
          1000000,
          1000000,
          10000000,
          1000000,
          5000000,
          1000000,
          1000000,
          5000000,
          1000000,
          5000000,
          1000000,
          1000000,
          10000000,
          10000000,
          1000000,
          50000000,
          10000000,
          1000000,
          1000000,
          1000000,
          10000000,
          1000000,
          100000000,
          5000000,
          1000000,
          5000000,
          1000000,
          10000000,
          10000,
          1000000,
          100000,
          100000,
          100000,
          1000000,
          1000000,
          1000000,
          1000000,
          5000000,
          500000,
          1000000,
          100000,
          500000,
          1000000,
          1000000,
          100000,
          100000,
          1000000,
          1000000,
          50000,
          1000000,
          100000,
          100000,
          1000000,
          5000000,
          1000000,
          100000,
          1000000,
          100000,
          1000000,
          1000000,
          50000,
          1000000,
          5000000,
          500000,
          1000000,
          1000000,
          1000000,
          5000000,
          1000000,
          100000,
          500000,
          1000000,
          1000000,
          500000,
          1000000,
          5000000,
          500000,
          1000000,
          5000000,
          5000000,
          50000,
          100000,
          1000000,
          500000,
          1000000,
          500000,
          1000000,
          100000,
          100000,
          1000000,
          1000000,
          5000000,
          50000,
          10000000,
          10000,
          5000000,
          1000000,
          5000000,
          1000000,
          10000000,
          10000000,
          1000000,
          10000000,
          50000,
          10000000,
          1000000,
          10000,
          100000,
          1000000,
          10000000,
          1000000,
          500000,
          10000000,
          500000,
          50000,
          1000000,
          1000000,
          1000000,
          500000,
          5000000,
          1000000,
          5000000,
          1000000,
          10000000,
          100000,
          10000000,
          5000000,
          5000000,
          1000000,
          10000000,
          5000000,
          1000000,
          1000000,
          1000000,
          1000000,
          100000,
          100000,
          1000000,
          50000,
          500000,
          500000,
          100000,
          1000000,
          1000000,
          100000,
          100000,
          5000000,
          500000,
          100000,
          1000000,
          10000,
          50000,
          5000000,
          1000000,
          1000000,
          10000000,
          1000000,
          1000000,
          1000000,
          5000000,
          10000000,
          10000000,
          50000,
          100000,
          1000000,
          1000000,
          100000,
          10000000,
          100000,
          1000000,
          10000000,
          1000000,
          5000000,
          5000000,
          10000000,
          10000000,
          500000,
          5000000,
          1000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          1000000,
          10000000,
          1000000,
          100000,
          500000,
          100000,
          500000,
          5000000,
          1000000,
          10000000,
          50000,
          10000000,
          500000,
          100000,
          1000000,
          10000000,
          500000,
          10000000,
          5000000,
          1000000,
          50000000,
          100000,
          5000000,
          10000000,
          1000000,
          100000,
          10000000,
          1000000,
          500000,
          100000,
          10000000,
          1000000,
          5000000,
          1000000,
          500000,
          1000000,
          1000000,
          1000000,
          10000000,
          10000000,
          5000000,
          1000000,
          10000000,
          500000,
          10000000,
          10000000,
          1000000,
          5000000,
          1000000,
          10000000,
          10000000,
          5000000,
          1000000,
          5000000,
          1000000,
          5000000,
          1000000,
          100000,
          1000000,
          500000,
          500000,
          100000,
          1000000,
          500000,
          100000,
          100000,
          1000000,
          5000000,
          5000000,
          500000,
          10000000,
          100000,
          1000000,
          1000000,
          1000000,
          1000000,
          5000000,
          1000000,
          1000000,
          1000000,
          500000,
          10000000,
          500000,
          1000000,
          100000000,
          10000000,
          5000000,
          5000000,
          500000,
          1000000,
          1000000,
          1000000,
          10000000,
          50000,
          50000,
          5000000,
          5000000,
          1000000,
          1000000,
          10000000,
          10000000,
          1000000,
          500000,
          1000000,
          1000000,
          100000,
          10000000,
          1000000,
          100000,
          50000,
          500000,
          1000000,
          100000,
          5000000,
          100000,
          500000,
          100000,
          1000000,
          500000,
          100000,
          500000,
          1000000,
          500000,
          500000,
          1000000,
          500000,
          5000000,
          1000000,
          1000000,
          10000000,
          100000,
          1000000,
          10000000,
          5000000,
          1000000,
          1000000,
          1000000,
          10000000,
          10000,
          10000000,
          500000,
          100000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          100000,
          5000000,
          1000000,
          1000000,
          1000000,
          5000,
          5000000,
          10000,
          100000,
          500000,
          1000000,
          100000,
          1000000,
          100000,
          100000,
          1000000,
          500000,
          500000,
          5000000,
          500000,
          5000,
          100000,
          10000,
          50000,
          100000,
          10000,
          100000,
          1000000,
          100000,
          500000,
          1000000,
          50000,
          1000000,
          500000,
          1000000,
          1000000,
          500000,
          500000,
          50000,
          50000,
          10000,
          100000,
          1000,
          100000,
          10000,
          100000,
          5000000,
          50000,
          10000000,
          1000,
          100000,
          50000,
          100000,
          50000,
          100000,
          10000,
          50000,
          50000,
          100000,
          100000,
          10000000,
          10000,
          100000,
          10000,
          10000,
          5000,
          500000,
          5000000,
          100000,
          1000000,
          10000,
          1000000,
          1000,
          500000,
          1000000,
          100000,
          1000000,
          10000,
          1000000,
          500000,
          500000,
          100000,
          50000,
          500000,
          500000,
          1000000,
          100000,
          5000000,
          10000000,
          100000,
          10000000,
          5000000,
          1000000,
          5000000,
          1000000,
          10000000,
          1000000,
          1000000,
          5000000,
          10000000,
          500000,
          5000000,
          10000000,
          1000000,
          1000000,
          10000000,
          5000000,
          1000000,
          10000000,
          50000000,
          1000000,
          500000,
          500000,
          1000000,
          5000000,
          1000000,
          1000000,
          100000,
          1000000,
          1000000,
          10000000,
          1000000,
          1000000,
          10000000,
          500000,
          10000000,
          1000000,
          1000000,
          100000,
          100000,
          10000000,
          500000,
          1000000,
          1000000,
          1000000,
          100000,
          1000000,
          1000000,
          10000000,
          100000,
          500000,
          10000,
          100000,
          5000000,
          500000,
          500000,
          10000,
          1000000,
          10000000,
          100000,
          50000,
          5000,
          100000,
          1000000,
          100000,
          50000,
          1000000,
          100000,
          1000000,
          5000000,
          500000,
          500000,
          1000000,
          500000,
          1000000,
          100000,
          1000000,
          100000,
          100000000,
          1000000000,
          500000000,
          10000000,
          10000000,
          50000000,
          100000000,
          100000000,
          500000000,
          500000000,
          100000000,
          5000000,
          100000000,
          100000000,
          100000000,
          100000000,
          1000000,
          100000000,
          50000000,
          5000000,
          100000000,
          1000000,
          100000000,
          50000000,
          50000000,
          10000000,
          50000000,
          100000000,
          100000000,
          10000000,
          10000000,
          10000000,
          100000000,
          5000000,
          10000000,
          50000000,
          100000000,
          50000000,
          10000000,
          10000000,
          10000000,
          100000000,
          100000000,
          10000000,
          100000000,
          100000000,
          100000000,
          100000000,
          10000000,
          100000000,
          50000000,
          10000000,
          10000000,
          100000000,
          50000000,
          500000000,
          5000000,
          10000000,
          100000000,
          100000000,
          10000000,
          100000000,
          10000000,
          100000000,
          100000000,
          10000000,
          50000000,
          1000000,
          50000000,
          100000000,
          100000000,
          100000000,
          10000000,
          50000000,
          10000000,
          1000000,
          10000000,
          5000000,
          5000000,
          100000000,
          1000000,
          1000000,
          10000000,
          10000000,
          500000,
          1000000,
          100000000,
          5000000,
          5000000,
          10000000,
          50000000,
          50000000,
          10000000,
          10000000,
          10000000,
          50000000,
          10000000,
          5000000,
          10000000,
          1000000,
          1000000,
          10000000,
          10000000,
          5000000,
          10000000,
          10000000,
          1000000,
          5000000,
          5000000,
          5000000,
          10000000,
          5000000,
          5000000,
          1000000,
          5000000,
          10000000,
          1000000,
          1000000,
          5000000,
          1000000,
          10000000,
          10000000,
          10000000,
          1000000,
          1000000,
          5000000,
          10000000,
          5000000,
          10000000,
          100000,
          1000000,
          1000000,
          100000,
          100000000,
          10000000,
          10000000,
          10000000,
          50000000,
          5000000,
          10000000,
          10000000,
          10000000,
          10000000,
          500000,
          1000000,
          5000000,
          50000000,
          5000000,
          10000000,
          500000,
          50000000,
          5000000,
          1000000,
          100000000,
          1000000,
          10000000,
          5000000,
          50000000,
          100000000,
          50000000,
          50000000,
          50000000,
          10000000,
          100000000,
          10000000,
          10000000,
          50000000,
          10000000,
          50000000,
          50000000,
          10000000,
          10000000,
          10000000,
          10000000,
          100000,
          10000000,
          10000000,
          100000000,
          1000000,
          1000000,
          5000000,
          10000000,
          10000000,
          10000000,
          10000000,
          100000000,
          5000000,
          5000000,
          10000000,
          100000,
          50000000,
          5000000,
          50000000,
          10000000,
          10000000,
          5000000,
          10000000,
          10000000,
          10000000,
          10000000,
          5000000,
          10000000,
          1000000,
          10000000,
          10000000,
          10000000,
          5000000,
          10000000,
          100000000,
          50000000,
          10000000,
          1000000,
          5000000,
          5000000,
          1000000,
          1000000,
          5000000,
          1000000,
          1000000,
          500000,
          500000,
          5000000,
          1000000,
          10000000,
          500000,
          1000000,
          50000000,
          10000000,
          1000000,
          10000000,
          1000000,
          5000000,
          500000,
          1000000,
          1000000,
          10000000,
          10000000,
          10000000,
          10000000,
          1000000,
          1000000,
          10000000,
          100000,
          5000000,
          100000,
          10000,
          5000000,
          100000,
          1000000,
          5000000,
          1000000,
          1000000,
          1000000,
          1000000,
          5000000,
          500000,
          500000,
          1000000,
          1000000,
          50000,
          1000000,
          1000000,
          10000000,
          100000,
          100000,
          500000,
          500000,
          1000000,
          100000,
          1000000,
          5000000,
          500000,
          10000000,
          1000000,
          1000000,
          100000,
          50000,
          50000000,
          500000,
          10000000,
          500000,
          1000000,
          10000000,
          1000000,
          5000000,
          1000000,
          1000000,
          10000000,
          10000000,
          50000000,
          10000000,
          5000000,
          100000,
          10000000,
          10000000,
          1000000,
          1000000,
          10000000,
          1000000,
          10000000,
          10000000,
          5000000,
          1000000,
          50000000,
          1000000,
          10000000,
          500000,
          500000,
          500000,
          100000,
          100000,
          1000000,
          10000,
          10000000,
          500000,
          10000000,
          5000000,
          1000000,
          1000000,
          1000000,
          100000,
          100000,
          50000,
          500000,
          100000,
          5000000,
          1000,
          100000,
          50000,
          10000000,
          1000000,
          1000000,
          1000000,
          100000,
          100000,
          5000000,
          100000,
          10000000,
          5000000,
          5000000,
          10000000,
          5000000,
          5000000,
          10000000,
          1000000,
          10000000,
          5000000,
          1000000,
          5000000,
          1000000,
          1000000,
          1000000,
          1000000,
          5000000,
          5000000,
          10000000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          500000,
          50000,
          5000000,
          1000000,
          1000000,
          100000,
          500000,
          10000,
          1000000,
          500000,
          500000,
          5000000,
          50000,
          500000,
          1000000,
          500000,
          100000,
          100000,
          100000,
          100000,
          500000,
          100000,
          1000000,
          1000000,
          50000,
          1000000,
          100000,
          100000,
          100000,
          100000,
          1000000,
          50000,
          100000,
          100000,
          1000,
          500000,
          10000,
          1000000,
          1000,
          100000,
          500000,
          100000,
          50000,
          500000,
          10000,
          1000000,
          100000,
          5000,
          100000,
          100000,
          100000,
          5000,
          100000,
          100000,
          100000,
          50000,
          5000,
          10000,
          10000,
          50000,
          10000,
          100000,
          100000,
          50000,
          10000,
          50000,
          10000,
          10000,
          50000,
          100000,
          5000,
          1000,
          100000,
          100000,
          100000,
          5000,
          10000,
          1000,
          5000,
          10000,
          5000,
          1000,
          10000,
          10000,
          5000,
          50000,
          1000,
          100000,
          500,
          100,
          500,
          1000,
          50,
          100,
          100,
          10,
          10,
          100,
          100,
          10,
          100,
          50,
          10,
          100,
          1000,
          10,
          100,
          10,
          500,
          50,
          100,
          10,
          5,
          10,
          50,
          10,
          1,
          50,
          100,
          10,
          10,
          5,
          10,
          10,
          1,
          100,
          5000,
          5,
          10,
          10,
          10,
          5,
          50,
          1,
          10,
          50,
          5,
          100,
          100,
          10,
          5,
          100,
          10,
          100,
          10,
          5,
          5,
          10,
          100000,
          10000,
          1000,
          10000,
          1000,
          100000,
          10000,
          500,
          10000,
          50000,
          1000,
          100000,
          5000,
          1000000,
          10000,
          5000,
          10000,
          10000,
          10000,
          100,
          5000,
          10000,
          10000,
          50000,
          1000,
          1000,
          1000,
          50000,
          50000,
          100,
          1000,
          50000,
          10000,
          1000,
          10000,
          500,
          100000,
          5000,
          1000000000,
          1000000000,
          500000000,
          10000000,
          100000000,
          1000000,
          500000000,
          100000,
          100000000,
          10000000,
          1000000000,
          1000000,
          1000000,
          1000000,
          5000000,
          100000,
          1000000,
          5000000,
          5000000,
          1000000,
          5000000,
          10000000,
          5000000,
          1000000,
          500000,
          5000000,
          50000,
          10000000,
          1000000,
          5000000,
          1000000,
          1000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          1000000,
          100000000,
          1000000,
          10000000,
          5000000,
          5000000,
          100000000,
          10000000,
          10000000,
          10000000,
          100000000,
          50000000,
          10000000,
          50000000,
          10000000,
          5000000,
          10000000,
          5000000,
          500000,
          100000,
          1000000,
          500000,
          10000000,
          500000,
          5000000,
          50000000,
          1000000,
          10000000,
          5000000,
          1000000,
          10000000,
          1000000,
          50000000,
          10000000,
          10000000,
          100000,
          50000000,
          10000000,
          10000000,
          100000,
          10000000,
          10000000,
          10000000,
          100000000,
          10000000,
          10000000,
          10000000,
          5000000,
          100000000,
          10000000,
          100000000,
          50000000,
          100000000,
          50000000,
          50000000,
          1000000,
          10000000,
          5000000,
          5000000,
          1000000,
          1000000,
          10000000,
          50000000,
          10000000,
          10000000,
          1000000,
          5000000,
          10000000,
          1000000,
          10000000,
          1000000,
          10000000,
          50000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          50000000,
          10000000,
          10000000,
          10000000,
          10000000,
          100000000,
          5000000,
          1000000,
          5000000,
          1000000,
          1000000,
          1000000,
          1000000,
          10000000,
          500000,
          500000,
          1000000,
          10000000,
          10000000,
          1000000,
          10000000,
          10000000,
          50000000,
          5000000,
          10000000,
          1000000,
          10000000,
          10000000,
          50000,
          1000000,
          5000000,
          1000000,
          1000000,
          1000000,
          100000,
          500000,
          500000,
          500000,
          5000000,
          100000,
          1000000,
          5000000,
          5000000,
          1000000,
          1000000,
          1000000,
          5000000,
          500000,
          10000000,
          10000000,
          1000000,
          1000000,
          10000000,
          10000000,
          1000000,
          500000,
          1000000,
          10000000,
          100000,
          1000000,
          100000,
          5000000,
          1000000,
          500000,
          1000000,
          5000000,
          1000000,
          500000,
          50000,
          1000000,
          1000000,
          1000000000,
          50000000,
          5000000,
          10000000,
          10000000,
          10000000,
          50000000,
          1000000,
          100000000,
          1000000,
          100000,
          5000000,
          1000000,
          5000000,
          1000000,
          1000000,
          5000000,
          50000000,
          500000,
          10000000,
          10000000,
          50000000,
          500000,
          1000000,
          1000000,
          100000000,
          1000000,
          100000000,
          50000000,
          10000000,
          1000000,
          1000000,
          5000000,
          10000000,
          1000000,
          1000000,
          5000000,
          10000000,
          10000000,
          100000000,
          10000000,
          100000000,
          10000000,
          1000000,
          5000000,
          5000000,
          10000000,
          10000000,
          10000000,
          50000000,
          10000000,
          5000000,
          100000000,
          10000000,
          1000000,
          100000000,
          50000000,
          1000000,
          100000000,
          1000000,
          1000000,
          1000000,
          1000000,
          5000000,
          100000000,
          10000000,
          1000000,
          10000000,
          5000000,
          5000000,
          10000000,
          10000000,
          10000000,
          5000000,
          1000000,
          10000000,
          10000000,
          100000000,
          10000000,
          1000000,
          50000000,
          5000000,
          10000000,
          10000000,
          100000000,
          50000000,
          50000000,
          50000000,
          10000000,
          5000000,
          10000000,
          1000000,
          10000000,
          1000000,
          10000000,
          50000000,
          50000000,
          50000000,
          50000000,
          10000000,
          100000000,
          100000000,
          10000000,
          100000000,
          100000000,
          5000000,
          10000000,
          50000000,
          10000000,
          1000000,
          10000000,
          5000000,
          10000000,
          10000000,
          10000000,
          100000,
          10000000,
          5000000,
          50000000,
          10000000,
          10000000,
          500000,
          10000000,
          1000000,
          5000000,
          5000000,
          5000000,
          10000000,
          1000000,
          10000000,
          5000000,
          5000000,
          5000000,
          5000000,
          5000000,
          1000000,
          1000000,
          10000000,
          5000000,
          10000000,
          10000000,
          5000000,
          100000,
          1000000,
          1000000,
          1000000,
          5000000,
          100000,
          500000,
          500000,
          500000,
          1000000,
          10000000,
          100000,
          5000000,
          100000,
          100000,
          500000,
          10000000,
          100000,
          1000000,
          500000,
          100000,
          10000000,
          1000000,
          5000000,
          100000,
          1000000,
          1000000,
          100000,
          1000000,
          100000,
          1000000,
          1000000,
          100000,
          50000,
          500000,
          100000,
          1000000,
          100000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          1000000,
          10000,
          50000,
          100000,
          1000000,
          100000,
          1000000,
          10000,
          500000,
          5000000,
          100000,
          5000000,
          500000,
          500000,
          500000,
          10000,
          10000000,
          50000000,
          100000,
          10000000,
          5000000,
          1000000,
          5000000,
          10000000,
          10000000,
          50000000,
          5000000,
          1000000,
          500000,
          1000000,
          10000000,
          10000000,
          500000,
          10000000,
          100000000,
          1000000,
          5000000,
          100000000,
          10000000,
          1000000000,
          5000000,
          5000000,
          100000000,
          10000000,
          5000000,
          10000000,
          50000000,
          10000000,
          1000000000,
          10000000,
          10000000,
          1000000,
          1000000,
          1000000,
          5000000,
          500000,
          100000,
          5000000,
          5000000,
          1000000,
          1000000,
          10000000,
          10000000,
          10000000,
          10000000,
          5000000,
          5000000,
          10000000,
          1000000,
          50000000,
          5000000,
          1000000,
          5000000,
          1000000,
          1000000,
          5000000,
          1000000,
          5000000,
          10000000,
          10000000,
          10000000,
          1000000,
          100000,
          1000,
          100000,
          5000000,
          10000000,
          1000000,
          1000000,
          1000000,
          100000,
          1000000,
          5000000,
          1000000,
          1000000,
          1000000,
          1000000,
          5000000,
          1000000,
          1000000,
          1000000,
          10000000,
          5000000,
          1000000,
          1000000,
          1000000,
          1000000,
          100000,
          5000000,
          1000000,
          1000000,
          5000000,
          5000000,
          10000000,
          1000000,
          100000,
          1000000,
          10000000,
          1000000,
          5000000,
          1000000,
          1000000,
          500000,
          500000,
          1000000,
          10000000,
          1000000000,
          500000000,
          10000000,
          50000000,
          50000000,
          100000000,
          1000000,
          10000000,
          100000000,
          100000000,
          10000000,
          50000000,
          50000000,
          10000000,
          10000000,
          5000000,
          10000000,
          1000000,
          10000000,
          100000,
          500000000,
          10000000,
          10000000,
          1000000,
          5000000,
          10000000,
          100000000,
          10000000,
          10000000,
          10000000,
          500000000,
          100000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          100000000,
          10000000,
          1000000,
          500000,
          10000000,
          10000000,
          50000,
          100000,
          100000,
          10000000,
          10000000,
          1000000,
          5000000,
          1000000,
          10000000,
          50000000,
          10000000,
          100000000,
          10000000,
          50000000,
          10000000,
          5000000,
          50000000,
          10000000,
          5000000,
          5000000,
          50000000,
          5000000,
          10000000,
          5000000,
          5000000,
          1000000,
          1000000,
          1000000,
          1000000,
          10000000,
          10000000,
          1000000,
          5000000,
          1000000,
          100000,
          1000000,
          100000,
          50000000,
          5000000,
          1000000,
          1000000,
          50000000,
          10000000,
          1000000,
          1000000,
          5000000,
          5000000,
          10000000,
          10000000,
          50000000,
          100000000,
          10000000,
          10000000,
          1000000,
          100000000,
          10000000,
          1000000,
          1000000,
          10000000,
          5000000,
          1000000,
          1000000,
          10000000,
          10000000,
          100000000,
          10000000,
          1000000,
          1000000,
          10000000,
          100000000,
          10000000,
          10000000,
          1000000,
          50000000,
          1000000,
          100000000,
          5000000,
          100000,
          5000000,
          5000000,
          1000000,
          100000000,
          500000,
          1000000,
          1000000,
          1000000,
          50000000,
          1000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          100000000,
          10000000,
          10000000,
          500000,
          10000000,
          10000000,
          1000000,
          1000000,
          50000000,
          1000000,
          10000000,
          100000000,
          500000,
          1000000,
          1000000,
          10000000,
          5000000,
          5000000,
          500000,
          500000,
          5000000,
          100000,
          500000,
          100000,
          10000000,
          50000000,
          5000000,
          1000000,
          1000000,
          1000000,
          5000000,
          10000000,
          5000000,
          10000000,
          5000000,
          10000000,
          5000000,
          1000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          5000000,
          100000000,
          1000000,
          5000000,
          50000000,
          1000000,
          1000000,
          1000000,
          1000000,
          5000000,
          1000000,
          10000000,
          1000000,
          10000000,
          10000000,
          10000000,
          10000000,
          100000000,
          1000000,
          10000000,
          1000000,
          500000000,
          10000000,
          100000000,
          10000000,
          1000000000,
          10000000,
          10000000,
          100000000,
          10000000,
          100000000,
          5000000,
          1000000,
          10000000,
          100000000,
          50000000,
          100000000,
          10000000,
          100000000,
          5000000,
          100000000,
          10000000,
          10000000,
          1000000,
          500000000,
          10000000,
          10000000,
          500000000,
          100000000,
          10000000,
          5000000,
          5000000,
          5000000,
          100000000,
          10000000,
          50000000,
          10000000,
          100000000,
          5000000,
          50000000,
          100000000,
          50000000,
          50000000,
          50000000,
          100000000,
          1000000,
          50000000,
          1000000,
          500000,
          1000000,
          1000000,
          10000000,
          1000000,
          10000000,
          1000000,
          10000000,
          1000000,
          1000000,
          10000000,
          5000000,
          10000000,
          1000000,
          10000000,
          1000000,
          50000000,
          100000,
          5000000,
          10000000,
          1000000,
          1000000,
          100000000,
          10000000,
          100000000,
          100000000,
          100000000,
          5000000,
          1000000,
          5000000,
          1000000,
          10000000,
          1000000,
          5000000,
          10000000,
          1000000,
          500000,
          1000000,
          1000000,
          1000000,
          1000000,
          5000000,
          5000000,
          1000000,
          10000000,
          5000000,
          10000000,
          5000000,
          100000,
          1000000,
          1000000,
          1000000,
          5000000,
          500000000,
          10000,
          5000000,
          10000,
          1000000,
          10000,
          10000,
          100000,
          10000,
          5000,
          1000000,
          50000,
          50000,
          100000,
          1000000,
          100000,
          10000,
          1000000,
          1000000,
          10000,
          50000,
          10000,
          50000,
          1000000,
          500000,
          100000,
          100000,
          100000,
          100000,
          10000,
          100000,
          1000000,
          5000,
          500000,
          100000,
          10000,
          500000,
          10000,
          100000,
          1000000,
          100000,
          100000,
          10000,
          100000,
          1000000,
          1000000,
          100000,
          100000,
          1000000,
          100000,
          10000,
          1000000,
          50000000,
          1000000,
          50000000,
          10000,
          10000000,
          1000000,
          10000000,
          1000000,
          1000000,
          1000000,
          10000000,
          5000000,
          500000,
          10000000,
          1000000,
          5000000,
          5000000,
          1000000,
          10000000,
          5000000,
          1000000,
          5000000,
          1000000,
          50000000,
          1000000,
          100000,
          10000000,
          1000000,
          10000000,
          500000,
          1000000,
          10000000,
          1000000,
          500000,
          500000,
          5000000,
          100000,
          1000000,
          1000000000,
          1000000,
          10000000,
          1000000,
          1000000,
          100000000,
          10000000,
          100000000,
          100000,
          500000,
          100000000,
          10000000,
          50000000,
          1000000,
          1000000,
          10000000,
          1000000,
          5000000,
          1000000,
          10000000,
          10000000,
          50000000,
          1000000000,
          10000000,
          1000000,
          50000000,
          50000000,
          1000000,
          50000000,
          5000000,
          1000000,
          5000000,
          1000000,
          1000000,
          1000000,
          10000000,
          10000000,
          10000000,
          500000000,
          1000000,
          500,
          1000000,
          1000000,
          1000000,
          10000,
          100000,
          10000000,
          1000000,
          10000000,
          10000000,
          1000000,
          1000000,
          10000000,
          1000000,
          1000000,
          5000000,
          1000000,
          10000000,
          5000000,
          10000000,
          1000000,
          10000000,
          50000000,
          1000000,
          500000,
          1000000,
          10000000,
          10000000,
          100000,
          1000000000,
          10000000,
          10000000,
          500000000,
          10000000,
          500000,
          500000,
          1000000,
          1000000,
          1000000,
          1000000,
          5000000,
          5000000,
          50000,
          1000000,
          1000000,
          1000000,
          1000000,
          5000000,
          500000000,
          1000000,
          1000000,
          5000000,
          1000000,
          1000000,
          500000,
          1000000,
          10000,
          1000000,
          5000000,
          1000000,
          100000,
          1000000,
          100000,
          5000000,
          1000000,
          1000000,
          1000000,
          5000000,
          10000000,
          100000,
          1000000,
          1000000,
          1000000,
          1000000,
          10000000,
          100000,
          1000000,
          5000000,
          500000,
          1000000,
          1000000,
          10000000,
          10000000,
          10000000,
          10000000,
          1000000,
          1000000,
          1000000,
          1000000,
          10000000,
          5000000,
          1000000,
          100000000,
          5000000,
          10000000,
          10000000,
          5000000,
          5000000,
          1000000,
          100000000,
          50000000,
          500000,
          10000000,
          1000000,
          1000000,
          1000000,
          10000000,
          1000000,
          100000,
          5000000,
          5000000,
          5000000,
          5000000,
          1000000,
          1000000,
          1000000,
          1000000,
          100000,
          100000,
          1000000,
          1000000,
          5000000,
          1000000,
          1000000,
          5000000,
          1000000,
          1000000,
          5000000,
          1000000,
          5000000,
          1000000,
          1000000,
          10000000,
          100000,
          5000000,
          1000000,
          1000000,
          10000000,
          50000,
          1000000,
          1000000,
          5000000,
          50000000,
          1000000,
          1000000,
          500000,
          10000000,
          50000000,
          5000000,
          1000000,
          10000,
          10000000,
          50000000,
          500000,
          10000,
          10000,
          500000,
          50000000,
          500000,
          100000000,
          1000000,
          500000,
          10000000,
          50000000,
          50000,
          10000000,
          100000000,
          100000000,
          10000000,
          100000000,
          500000,
          500000,
          10000000,
          50000000,
          10000000,
          10000000,
          1000000,
          5000000,
          5000000,
          500000,
          10000000,
          500000,
          5000000,
          500000,
          1000000,
          1000000,
          100000000,
          5000000,
          1000000,
          100000000,
          1000000,
          1000000,
          10000000,
          50000,
          100000000,
          10000,
          10000,
          10000000,
          50000000,
          10000,
          500000,
          1000000,
          50000000,
          50000,
          50000,
          50000000,
          100000000,
          1000,
          5000,
          50000000,
          100000,
          50000,
          1000,
          500,
          50000,
          100000,
          10000000,
          1000000,
          50000,
          10000000,
          50000,
          1000,
          100000,
          500000000,
          10000,
          1000000,
          10000,
          100000,
          1000,
          5000,
          50000,
          5000,
          10000,
          100000,
          5000,
          10000,
          100000,
          100000,
          50000,
          1000,
          100000,
          5000,
          5000,
          50000,
          5000,
          10000,
          10000,
          5000,
          100000000,
          10000000,
          10000000,
          100000000,
          50000000,
          50000000,
          100000000,
          100000000,
          100000,
          50000000,
          50000000,
          10000000,
          100000000,
          1000000,
          100000000,
          500000,
          100000000,
          50000000,
          100000000,
          1000000,
          10000000,
          10000000,
          5000000,
          100000,
          1000000,
          10000000,
          5000000,
          10000000,
          500000,
          500000,
          10000000,
          100000000,
          100000,
          500000,
          500000,
          1000000,
          100000,
          5000000,
          500000,
          10000000,
          1000000,
          50000000,
          500000,
          1000000,
          100000000,
          100000,
          5000,
          50000,
          100000,
          50000,
          50000,
          500000,
          1000,
          50000,
          500000,
          5000,
          50000000,
          100000,
          5000,
          500,
          500000,
          10000,
          50000,
          500000,
          5000,
          10000,
          50000000,
          5000000,
          100000000,
          100000,
          1000000,
          100000,
          10000,
          50000000,
          100000,
          500000,
          100000,
          10000,
          50000,
          50000,
          50000,
          50000,
          1000,
          10000,
          5000000,
          100000,
          10000000,
          100000,
          100000000,
          5000,
          1000000,
          1000,
          500000,
          10000,
          5000,
          1000000,
          5000,
          1000,
          10000,
          10000,
          10000000,
          50000,
          1000000,
          100,
          1000,
          10000,
          50000,
          50000,
          10000,
          1000000,
          100000000,
          10000000,
          500000,
          5000000,
          500000,
          1000000,
          1000000,
          1000000,
          100000000,
          500000,
          10000000,
          10000000,
          1000000,
          5000000,
          5000000,
          5000000,
          10000000,
          1000000,
          1000000,
          100000000,
          10000000,
          100000,
          10000,
          10000,
          10000000,
          50000000,
          1000,
          10000,
          100000,
          10000000,
          1000,
          50000,
          1000,
          10000000,
          1000,
          500,
          1000,
          10000,
          1000,
          100,
          1000,
          10000,
          10000,
          10000,
          500,
          100000000,
          50000,
          500000,
          100000,
          50000000,
          10000000,
          100000,
          1000,
          100000,
          100000,
          100000,
          100000,
          5000,
          1000000,
          500000,
          100000,
          1000,
          1000,
          1000,
          100000,
          10000,
          5000,
          100,
          5000,
          1000,
          10000,
          5000,
          1000000,
          100000,
          10000,
          10000,
          10000,
          10000,
          50000000,
          5000000,
          50000000,
          500000,
          100000000,
          1000000,
          50000,
          50000,
          100000,
          10000000,
          1000000,
          500000,
          1000000,
          100000000,
          10000000,
          100000,
          100000,
          50000,
          10000000,
          10000000,
          100000,
          50000000,
          10000000,
          1000000,
          10000,
          1000000,
          1000000,
          50000000,
          100000,
          10000,
          100000,
          10000,
          100000,
          5000,
          50000,
          5000,
          100000,
          10000000,
          100000,
          10000,
          10000,
          10000,
          10000,
          10000,
          10000000,
          10000,
          1000000,
          5000000,
          1000000,
          1000000,
          500000,
          1000000,
          10000,
          10000000,
          10000,
          50000,
          1000000,
          100000,
          100000,
          10000,
          1000000,
          5000000,
          5000000,
          1000000,
          1000000,
          500000,
          50000,
          1000000,
          50000,
          100000,
          100000,
          10000,
          50000,
          10000,
          1000000,
          100000,
          1000000,
          10000000,
          50000,
          100000,
          50000,
          50000,
          1000000,
          500000,
          1000000,
          100000,
          100000,
          500000,
          10000000,
          100000,
          50000,
          10000000,
          10000000,
          1000,
          100000,
          1000000,
          5000,
          10000000,
          10000,
          50000,
          500,
          5000,
          10000,
          100000000,
          1000,
          100000,
          1000,
          10000,
          100000,
          10000,
          500,
          1000,
          10000,
          1000,
          10000,
          10000,
          100000,
          500000,
          1000000,
          500000,
          500000,
          10000,
          50000,
          1000000,
          1000000,
          1000000,
          10000000,
          500,
          500000,
          100000,
          1000,
          5000,
          10000,
          100000,
          10000,
          500000,
          10000,
          100000,
          100000,
          50000000,
          10000000,
          1000,
          1000,
          10000,
          10000,
          5000,
          5000,
          100000,
          100000,
          10000,
          1000,
          1000,
          1000,
          500000,
          100000,
          1000000,
          5000,
          1000,
          1000,
          10000,
          10000,
          5,
          10000,
          1000,
          10,
          100000,
          1000,
          50,
          1,
          10,
          5000,
          50,
          5000,
          1000,
          5000,
          100000,
          100,
          100000,
          500,
          10,
          1000000,
          100000000,
          1000000,
          1000000,
          100000,
          10000000,
          100000000,
          10000000,
          1000000,
          100000000,
          1000000,
          50000000,
          500000,
          50000,
          50000,
          1000000,
          100000000,
          10000000,
          10000000,
          1000000,
          1000000,
          10000,
          100000,
          1000000,
          1000000,
          10000000,
          5000000,
          10000000,
          500000,
          50000000,
          10000000,
          10000,
          10000000,
          5000000,
          10000000,
          1000,
          5000000,
          100000,
          1000000,
          5000,
          50000,
          1000000,
          1000000,
          1000000,
          500000,
          5000000,
          10000000,
          10000000,
          500000,
          10000,
          100000,
          10000,
          50000,
          50000,
          50000,
          100000,
          1000,
          500000,
          10000,
          100000,
          500000,
          5000,
          10000,
          10000,
          100000,
          10000,
          100000,
          50000,
          10000000,
          10000,
          500000,
          5000,
          10000,
          100000,
          100000,
          100000,
          100000,
          100000,
          500000,
          100000,
          5000,
          10000,
          10000000,
          1000000,
          50000000,
          100000,
          5000000,
          1000000,
          100000,
          500000,
          10000000,
          10000000,
          50000000,
          1000000,
          50000000,
          100000,
          100000000,
          500000,
          5000,
          100000,
          1000000,
          100000,
          100000,
          100000000,
          1000000,
          10000,
          10000,
          1000,
          100000,
          500000,
          5000,
          5000,
          10000,
          100000,
          100000,
          5000,
          5000,
          5000,
          50000000,
          50000,
          50000000,
          10000,
          5000,
          100000,
          10000000,
          10000,
          1000000,
          10000,
          1000000,
          5000,
          5000000,
          50000,
          10000000,
          10000000,
          5000000,
          10000,
          50000000,
          5000000,
          100000,
          5000000,
          100000,
          5000000,
          100000,
          50000,
          10000000,
          1000000,
          1000000,
          100000,
          1000000,
          5000000,
          10000000,
          500000,
          10000,
          1000000,
          100000,
          1000000,
          1000000,
          500000,
          50000,
          100000,
          500000,
          1000000,
          100000,
          1000000,
          1000000,
          1000000,
          100000,
          100000,
          500000,
          100000,
          100000,
          1000000,
          500000,
          10000000,
          100000000,
          50000000,
          10000000,
          10000000,
          10000000,
          1000000,
          5000000,
          5000000,
          100000000,
          10000000,
          1000000,
          100000000,
          10000000,
          10000000,
          10000000,
          5000000,
          50000000,
          1000000,
          1000000,
          10000000,
          1000000,
          5000000,
          100000,
          10000000,
          1000000,
          1000000,
          5000000,
          50000,
          10000,
          100000,
          100000,
          500000,
          1000000,
          10000,
          1000000,
          10000,
          5000000,
          10000,
          1000000,
          500000,
          100000,
          5000,
          1000000,
          10000,
          5000000,
          500000,
          10000000,
          1000,
          1000000,
          10000000,
          5000000,
          10000000,
          10000000,
          1000000,
          100000,
          100000,
          100000,
          10000000,
          5000,
          10000000,
          1000000,
          50000000,
          1000000,
          10000,
          100000,
          500000,
          10000,
          100000,
          1000,
          100000,
          500,
          50000,
          50000000,
          10000,
          1000000,
          1000,
          100000000,
          10000,
          1000000,
          1000,
          1000,
          1000000,
          1000000,
          10000,
          1000000,
          100000,
          500000,
          100000,
          1000000,
          500000,
          100000,
          5000,
          10000,
          1000000,
          50000,
          100000,
          10000,
          10000,
          10000,
          100000,
          5000,
          50000,
          5000,
          50000,
          1000000,
          100000,
          10000,
          100000,
          100000,
          50000,
          10000,
          10000,
          10000,
          100000,
          10000000,
          1000000,
          100000,
          100000,
          50000,
          1000,
          50000,
          100000,
          10000,
          1000000,
          500000,
          10000000,
          500000,
          1000000,
          1000000,
          500000,
          10000000,
          1000000,
          50000,
          1000000,
          50000,
          1000000,
          50000,
          1000000,
          10000,
          1000000,
          10000,
          100000,
          100000,
          1000,
          100000,
          1000000,
          5000000,
          500000,
          50000,
          50000,
          100000,
          100000,
          100000,
          100000,
          100000,
          1000000,
          5000000,
          50000,
          100000,
          5000,
          10000,
          100000,
          1000000,
          500000,
          50000,
          500000,
          1000000,
          100000,
          1000000,
          1000000,
          50000,
          50000,
          500000,
          100000,
          1000000,
          1000,
          10000,
          5000000,
          1000,
          1000,
          100000,
          100000,
          10000,
          10000,
          10000,
          10000,
          10,
          10000000,
          10000,
          10000,
          1000000,
          500000,
          100,
          50000,
          10000,
          1000,
          5000000,
          1000,
          10000,
          10000000,
          10000,
          10000,
          100,
          1000,
          10000,
          10000,
          1000,
          5000000,
          10000000,
          5000,
          100,
          500,
          10000,
          5000,
          50,
          100000000,
          10000000,
          100,
          500000,
          100,
          5000000,
          1000,
          1000000,
          1000,
          1000000,
          100,
          5000000,
          1000,
          10000000,
          100,
          10000000,
          10000000,
          5000000,
          100000000,
          10000000,
          1000000,
          1000000,
          500000,
          1000000,
          10000,
          10000,
          1000,
          5000,
          500,
          10000,
          1000,
          10000,
          1000,
          1000,
          100000,
          100,
          5000,
          1000,
          100,
          10,
          100,
          1000,
          10000,
          1000,
          100,
          1000,
          100,
          50,
          100,
          1000,
          10,
          50,
          50,
          50,
          100,
          500,
          10000,
          100,
          100,
          100,
          10000,
          100,
          1000,
          5,
          500,
          10,
          50000,
          100,
          100000,
          100,
          100,
          1000,
          50,
          100,
          50,
          10000,
          50000,
          100,
          50,
          100,
          100,
          10000,
          100,
          100000,
          100,
          5000,
          100,
          50,
          100,
          100,
          100,
          100,
          500,
          50,
          100000,
          50,
          1,
          50,
          100,
          100,
          100,
          100,
          10,
          100000,
          100,
          100,
          50,
          1,
          50,
          100,
          10,
          50000,
          50,
          100,
          1000000,
          100000,
          50000,
          1000000,
          1000,
          50000,
          1000000,
          10000,
          100000,
          10000,
          50000,
          1000000,
          10000,
          1000000,
          10000,
          5000,
          100,
          1000,
          1000,
          100,
          1000,
          100000,
          100000,
          500,
          1000000,
          1000,
          100000,
          5000,
          10000,
          5000000,
          10000000,
          100,
          100000,
          100,
          100,
          5000,
          500,
          1000,
          10000,
          10000,
          50000,
          100000,
          10000,
          1000000,
          1000,
          100,
          10,
          100,
          1000000,
          10,
          500,
          10000,
          500,
          500,
          10,
          1000,
          1000,
          100,
          100,
          10,
          10,
          10000,
          100,
          100,
          100,
          50,
          5000,
          100,
          5,
          1000,
          50,
          100000,
          5,
          5,
          10,
          500000,
          10,
          100,
          500,
          100000,
          100000,
          100,
          500000,
          50000,
          1000,
          10000,
          1000,
          5000,
          100,
          10000,
          10000000,
          50000,
          10000,
          500,
          1000000,
          500,
          500,
          100,
          1000,
          100,
          10000000,
          10000,
          10,
          5000,
          10,
          500,
          1000,
          1000,
          10,
          100,
          5000,
          10000,
          5000000,
          100,
          5000000,
          1000,
          50000,
          10000000,
          50000,
          50000,
          1000,
          10000,
          10000,
          10000,
          10000000,
          50000,
          500000,
          10000000,
          10000000,
          10000000,
          1000000,
          100000,
          1000000,
          50000,
          1000000,
          100000,
          1000000,
          5000000,
          100000,
          5000000,
          500000,
          10000,
          50000,
          500000,
          1000000,
          1000000,
          1000000,
          100000,
          50000,
          10000000,
          50000,
          50000,
          100000,
          10000000,
          100000,
          10000,
          1000000,
          1000,
          10000,
          10000,
          100000,
          100000,
          100000,
          100000,
          500000,
          10000,
          1000000,
          1000000,
          100000,
          10000000,
          10000000,
          5000000,
          10000000,
          10000000,
          10000000,
          1000000,
          5000000,
          5000000,
          5000000,
          10000000,
          5000000,
          1000000,
          10000000,
          1000000,
          100000,
          1000000,
          5000,
          1000,
          1000000,
          10000,
          100,
          10000000,
          100000,
          1000000,
          1000000,
          10000000,
          100000000,
          10000000,
          10000000,
          5000000,
          1000000,
          5000000,
          5000000,
          10000000,
          5000000,
          100000,
          10000000,
          1000000,
          10000000,
          10000000,
          100000,
          10000000,
          5000000,
          1000000,
          1000000,
          10000000,
          50000000,
          10000,
          100000,
          100000,
          10000000,
          5000000,
          10000000,
          10000,
          10000000,
          1000000,
          5000,
          1000,
          100000,
          10000,
          10000,
          10000,
          10000,
          5000,
          100,
          5000,
          1000,
          5000,
          1000,
          10000,
          500000,
          100000,
          100000,
          10000,
          10000,
          5000,
          10000,
          10000,
          10000,
          5000,
          1000,
          50000,
          1000000,
          1000,
          5000,
          5000,
          1000,
          1000,
          1000000,
          100000,
          50000,
          500000,
          100000,
          10,
          100,
          10,
          500,
          500,
          10000,
          1000,
          50,
          1000,
          10,
          10,
          5,
          10,
          5000,
          10000,
          1000000,
          10000000,
          50000000,
          10000000,
          5000000,
          1000000,
          10000000,
          5000000,
          10000000,
          1000000,
          5000000,
          5000000,
          10000,
          100000,
          1000000,
          1000000,
          50000,
          10000000,
          1000000,
          5000000,
          100000,
          1000,
          10000000,
          100000,
          50000,
          5000000,
          100000,
          100000,
          50000000,
          10000,
          100000,
          10000,
          10000,
          10000,
          1000000,
          5000,
          10000,
          5000,
          10000,
          1000000,
          1000000,
          5000,
          10000,
          50000,
          1000,
          100000,
          1000,
          5000,
          1000000,
          10000,
          50000,
          10000,
          1000000,
          5000000,
          50,
          100000,
          100000,
          100000,
          10000,
          10000000,
          10000000,
          100000,
          50000,
          500000,
          1000,
          5000000,
          10000000,
          10000000,
          5000000,
          5000000,
          10000000,
          500000000,
          5000000,
          10000000,
          5000000,
          5000000,
          5000000,
          1000000,
          50000000,
          5000000,
          1000000,
          50000000,
          5000000,
          500000,
          1000000,
          1000000,
          10000000,
          10000000,
          1000000,
          5000000,
          5000000,
          1000000,
          5000000,
          1000000,
          100000,
          5000000,
          1000000,
          1000000,
          1000000,
          100000,
          10000000,
          100000,
          1000000,
          500000,
          100000,
          5000000,
          100000,
          100000,
          500000,
          10000,
          100000,
          50000,
          1000000,
          100000000,
          1000000,
          1000000,
          10000,
          1000,
          1000000,
          100000,
          50000,
          100000,
          10000,
          1000,
          100000,
          100000,
          100000,
          1000,
          10000,
          100,
          100000,
          10000,
          1000,
          50000,
          10000,
          1000,
          100,
          1000,
          1000000,
          500000,
          1000,
          10000,
          5000,
          5000,
          100000,
          1000,
          10000,
          10000,
          100,
          1000000,
          1000,
          1000000,
          10000,
          50000,
          10000,
          100000000,
          100000,
          100000,
          10000,
          5000,
          1000,
          10000000,
          1000,
          10000,
          100000,
          5000,
          100000,
          1000000,
          50000,
          1000,
          1000,
          10000000,
          50000,
          50000,
          10000,
          1000,
          50000000,
          10000000,
          50000,
          10000,
          10000,
          5000,
          1000,
          10000,
          1000000,
          5000,
          50,
          10000000,
          1000000,
          100,
          100000,
          100000,
          1000,
          1000000,
          5000,
          100000,
          100000,
          500,
          100000,
          50000,
          500,
          1000000,
          1000,
          100000,
          50000,
          10,
          100000,
          5,
          100,
          500,
          100,
          5000,
          50000,
          1000000,
          5000000,
          1000,
          1000,
          100000,
          5000,
          10000000,
          10000000,
          100000,
          1000000,
          10,
          100000,
          1000,
          100,
          1000000,
          100000,
          10000,
          100000,
          500000,
          10000,
          1000000,
          10000,
          10000,
          100000,
          100,
          5000,
          100000,
          50000,
          100,
          1000,
          1000,
          50,
          500,
          5000,
          10,
          5000,
          5,
          10000,
          1000000,
          10,
          50000,
          50000,
          50,
          10000,
          100,
          100,
          1000,
          100000,
          10000,
          1000,
          1000,
          50,
          500000,
          500,
          1000,
          1000,
          100,
          500000,
          50,
          100,
          5000,
          5000,
          100,
          5000,
          100,
          500,
          1000,
          10,
          500000,
          1,
          1000,
          100,
          10000,
          100,
          10000,
          10,
          10000,
          10,
          10000,
          100000,
          10000,
          10,
          1000,
          1000,
          10,
          5,
          1,
          10000,
          1000000,
          10000000,
          5000000,
          10000000,
          10000000,
          10000000,
          10000000,
          5000000,
          5000000,
          10000000,
          100000,
          10000,
          1000000,
          1000000,
          100000,
          500000,
          5000,
          10000,
          10000,
          10000,
          10000,
          1000,
          500,
          500,
          100000,
          10000,
          1000,
          10000,
          500,
          10000,
          50000,
          1000,
          10000,
          10000,
          1000,
          100,
          1000,
          10000,
          10000,
          1000000,
          100000,
          1000,
          5000,
          10000,
          100000,
          10000,
          10000,
          50000,
          5000,
          5000,
          500000,
          100,
          10000,
          10000,
          1,
          10000,
          100,
          1000,
          10000,
          100000,
          10000,
          10000,
          10000,
          50000,
          1000,
          100000,
          10000,
          50000,
          50000,
          50000,
          10000,
          100,
          1000,
          500,
          5000,
          1000000,
          100000,
          10000000,
          100000,
          100000000,
          10,
          100000,
          10000000,
          500000,
          1000,
          1000,
          5000,
          50000,
          100,
          500,
          100,
          500,
          1000000,
          1000,
          5000,
          10000,
          50,
          10000,
          500,
          1000,
          1000,
          1000,
          100,
          1000,
          500,
          100,
          1000,
          100,
          50,
          500,
          500,
          100,
          1000,
          100,
          5000000,
          1000000,
          10000,
          5000,
          1000000,
          500000,
          500000,
          10000,
          10000,
          5000,
          500000,
          50000,
          10,
          1000,
          5000,
          10000,
          100000,
          1000,
          10000,
          1000,
          1000,
          10000,
          500,
          500,
          100,
          1000,
          100000,
          50000,
          5000,
          50000,
          10000,
          500,
          10000,
          500000,
          100000,
          5000,
          100,
          100000,
          100000,
          5000,
          500000,
          10000,
          1000000,
          100000,
          500,
          5000,
          100,
          10,
          500,
          100,
          100000,
          100000,
          10000000,
          500000,
          100000,
          100,
          50000,
          100000,
          10000000,
          100000,
          1000,
          10000,
          5000000,
          100000,
          1000000,
          1000,
          50000000,
          50000000,
          100000,
          50000000,
          5000000,
          5000,
          5000,
          100000,
          10000000,
          10000,
          100000,
          10000000,
          10000000,
          1000000,
          5000000,
          1000000,
          10000000,
          100,
          10000000,
          10000,
          10000,
          10000,
          50000,
          1000000,
          50000,
          100000,
          5000000,
          10000000,
          10000,
          1000,
          100000,
          50000,
          5000000,
          100000,
          1000000,
          500000,
          1000,
          1000,
          1000,
          1000,
          100000,
          5000,
          1000000,
          1000,
          10000,
          50,
          10,
          50,
          50000,
          100,
          100000,
          1000000,
          100000,
          1000,
          10000,
          1000,
          500,
          1000,
          10000,
          100000,
          1000,
          100,
          1000,
          10000,
          5,
          1000,
          10000,
          10000000,
          1000,
          1000,
          500,
          1000,
          100,
          5000,
          100,
          1000,
          10,
          100,
          100,
          10,
          100,
          1000,
          10,
          1000,
          1000,
          100000,
          50000,
          100,
          500,
          500,
          1000,
          1000000,
          1000000,
          500,
          1000,
          500,
          100,
          1000,
          100,
          10,
          1000,
          100,
          1000000,
          5000000,
          1000,
          10,
          10000000,
          100000,
          100,
          5000000,
          1000,
          10000,
          10,
          500000,
          50,
          1000000,
          5000000,
          100000,
          10000,
          10,
          100000,
          100000,
          10000000,
          50000,
          50,
          100000,
          1000000,
          500000,
          1000000,
          5000000,
          10000,
          100000,
          500,
          100000,
          1000000,
          10000,
          1000,
          1000,
          10000,
          10,
          500,
          1000,
          100000,
          10,
          10,
          1000,
          10,
          100,
          500,
          1000,
          100000,
          100,
          10,
          1,
          10,
          1000,
          1000,
          10,
          5000,
          10000,
          5000,
          1000,
          50000,
          50000,
          100,
          1000,
          10000,
          500,
          5000,
          1,
          10,
          50,
          100,
          500,
          100000,
          500000,
          100000,
          10000,
          1000,
          5000,
          10000,
          100000000,
          1000,
          10000,
          100,
          10000,
          10000,
          100,
          10000,
          1000,
          1000,
          10000,
          10000000,
          5000,
          5000,
          1000000,
          1000000,
          50,
          10000000,
          10000000,
          10,
          10000000,
          50000000,
          5000000,
          5000000,
          10000000,
          1000000,
          10000000,
          100000,
          500000,
          10000,
          10000,
          50000,
          10000,
          100,
          500,
          1000,
          5000,
          50000,
          100,
          1000,
          100,
          10000,
          500000,
          10000,
          5000000,
          100,
          50000,
          10000000,
          10,
          500,
          100,
          1000000,
          500,
          100,
          100000,
          500,
          10,
          5,
          10000000,
          10,
          10000000,
          10,
          1000000,
          1000000,
          5,
          100000,
          10000,
          100000,
          100000,
          100000,
          500000,
          100000,
          100000,
          5000000,
          5000000,
          1000,
          100000,
          5000,
          5000,
          5000,
          50,
          100,
          50,
          100,
          100000,
          1000,
          10000,
          500,
          100,
          100000000,
          100000,
          1000,
          1000,
          10,
          10000,
          1000,
          10000,
          1000,
          1000,
          10000,
          5000,
          10000,
          50000,
          10000,
          10000,
          10000,
          100,
          5000,
          100,
          100,
          10000,
          1000,
          10000,
          50,
          5,
          500000,
          10000,
          10000,
          100000,
          10000,
          10000,
          100000,
          1000000,
          1000000,
          5000,
          10000,
          100000,
          100000,
          50000,
          10000,
          100000,
          100000,
          1000,
          10000,
          1000,
          100,
          10000,
          500000,
          50000,
          5000,
          10,
          10000,
          100,
          1000,
          100,
          100,
          5,
          10000,
          1000,
          1000,
          100,
          50,
          10,
          10,
          10000,
          100000,
          50000,
          1000000,
          50000,
          100000,
          100,
          100,
          10000,
          100,
          10000,
          10000,
          50000,
          100,
          100000,
          1000,
          1000,
          100,
          1000,
          10,
          10000,
          100000,
          5,
          500,
          100,
          100000,
          1000,
          500,
          1,
          500,
          10,
          500,
          10,
          100,
          1000000,
          1000000,
          1000,
          50,
          10000,
          100,
          100,
          10,
          10,
          500,
          500000,
          5000,
          100000,
          500000,
          100,
          100000,
          100000,
          10000,
          100,
          10000,
          5000,
          10000,
          1000,
          100,
          10000,
          10000,
          5000,
          1000,
          100,
          10,
          5000,
          50000,
          10000,
          5000,
          5000,
          10000,
          1000,
          5000,
          1000,
          1000,
          50,
          5000,
          50000,
          1000,
          10000,
          1000,
          10000,
          10000,
          10000,
          5000,
          1000,
          1000,
          50,
          10,
          1000000,
          10000,
          50000000,
          50000000,
          100000000,
          10000,
          500,
          100000,
          5000000,
          10000,
          1000000,
          1000000,
          1000000,
          1000,
          10000000,
          5000000,
          10000000,
          10000,
          5000000,
          5000,
          50000000,
          1000000,
          10000,
          10000,
          10000,
          1000000,
          1000,
          1000,
          100000,
          10000000,
          10000,
          10000,
          10000,
          1000,
          500,
          1000,
          100,
          50,
          100,
          1000,
          500000,
          5000,
          1000,
          1000,
          1000,
          10,
          1000,
          100000,
          50000,
          1000,
          1000,
          1000,
          10000,
          50,
          100,
          500000,
          1000000,
          1000000,
          5000,
          1000000,
          100,
          5000,
          1000,
          100,
          1000000,
          1000,
          1000,
          5000,
          50,
          1000,
          1000,
          50,
          100,
          100,
          50,
          10000,
          5000,
          50000,
          5000,
          100000,
          50,
          1000,
          500000,
          5000,
          1000000,
          100,
          10000,
          10000000,
          1000000,
          50000,
          50,
          100,
          5000000,
          100,
          50,
          100,
          5,
          10,
          1000,
          100000,
          1000000,
          100000,
          50000,
          5000,
          5000,
          100,
          10000,
          1000,
          500,
          100000,
          100,
          10000,
          100000,
          5000,
          10000,
          50,
          10,
          100000,
          100,
          1000,
          5,
          100,
          50000,
          50,
          5000,
          10000,
          1000,
          10000000,
          100000,
          10000,
          10,
          500,
          100000,
          5000000,
          1000000,
          1000000,
          10000,
          10000000,
          10000,
          10000000,
          100000,
          1000000,
          1000,
          1000000,
          500000,
          50,
          50,
          1000,
          50000,
          5000,
          100,
          100,
          100,
          10000,
          1000,
          100,
          100,
          5000,
          1000,
          50000,
          500,
          100,
          50,
          100000,
          50,
          10000,
          50000,
          10000,
          10,
          1000,
          100000,
          100000,
          10,
          1000000,
          100000,
          10000,
          10000,
          1000000,
          1000,
          5000000,
          100000,
          1000000,
          500000,
          5000,
          10000,
          10000,
          10000,
          5000,
          500000,
          50000,
          10000,
          10000000,
          1000000,
          1000,
          100000,
          500,
          500,
          5000000,
          500,
          500,
          1000000,
          1000,
          1000000,
          500000,
          1000,
          10000,
          10000,
          100000,
          500,
          10000,
          100,
          5000,
          1000000,
          50000,
          100,
          10,
          500,
          100,
          1000,
          1000,
          50000,
          100,
          5000,
          1000000,
          1000,
          10000,
          10000,
          1000,
          10,
          100,
          10,
          100,
          1000,
          10,
          10000,
          1000,
          1000000,
          500,
          10,
          1000,
          50,
          100,
          1000,
          10,
          50,
          100,
          1000,
          100,
          1000,
          100,
          50,
          500,
          1000,
          10,
          100,
          10,
          1000,
          10000,
          1000,
          100000000,
          100,
          100,
          100,
          100,
          500,
          500,
          1000000,
          500,
          1000,
          100,
          100000,
          100,
          100,
          500,
          100,
          50,
          100,
          100,
          100,
          10,
          10,
          100,
          10,
          10,
          500000,
          100,
          500,
          100000,
          10,
          50,
          50,
          10000000,
          100000,
          10000,
          5000000,
          50000,
          1,
          1000,
          5,
          1000000,
          1000000,
          50,
          100000,
          5000,
          10000,
          50000,
          100000,
          10000,
          1000,
          5000,
          500,
          100000,
          10000,
          100000,
          1000,
          5000,
          5000,
          100,
          100,
          500,
          100,
          10,
          100,
          50,
          10,
          10000,
          1000,
          10000,
          1000,
          50000,
          500,
          5000,
          10000,
          10,
          100,
          1000,
          1000000,
          100,
          10,
          50000,
          10,
          50,
          5000,
          1000000,
          10000,
          100,
          5000,
          10000,
          100,
          100,
          100,
          50,
          100,
          1000,
          1000,
          5000,
          5000,
          100,
          1000,
          1000,
          1,
          10000,
          500,
          1000,
          100000,
          100,
          5000000,
          1000000,
          500,
          10000000,
          5000000,
          1000000,
          10000,
          1000000,
          10000000,
          10000000,
          5000,
          1000000,
          10000,
          500000,
          500000,
          500000,
          1000000,
          500000,
          50000,
          1000000,
          500000,
          500000,
          10000000,
          1000000,
          100000,
          100000,
          1000000,
          1000000,
          10000000,
          1000000,
          1000000,
          100000,
          5000000,
          1000000,
          100000,
          500000,
          100000,
          100000,
          500000,
          1000000,
          1000000,
          100000,
          100000,
          500000,
          500000,
          5000000,
          50000,
          500000,
          100000,
          5000000,
          100000,
          1000000,
          100000,
          100000,
          1000000,
          100000,
          100000,
          1000000,
          1000000,
          1000000,
          10000,
          100000,
          100,
          100,
          1000,
          10000,
          1000,
          1000,
          10,
          50000,
          50,
          10,
          1000,
          10,
          100000,
          500,
          10000,
          1000,
          5000,
          500,
          1000,
          100,
          1000,
          1000,
          5000,
          50000,
          500,
          1000,
          10000,
          100,
          500000,
          100,
          1000,
          1000,
          5000,
          1000,
          50,
          500,
          10000,
          10000,
          1000,
          100000,
          5000000,
          5000,
          10000,
          1000,
          10,
          100000,
          1000000,
          100,
          500,
          1000,
          10000,
          10000,
          10,
          5000,
          1000,
          1000000,
          100000,
          5000,
          10000,
          100,
          1000000,
          10000,
          100000,
          100000,
          1000000,
          1000,
          1000,
          100000,
          10000,
          50000,
          500,
          100000,
          10,
          100,
          500,
          1000000,
          50,
          1000,
          10,
          50,
          100000,
          1000,
          1000,
          100,
          500,
          10,
          100,
          100,
          1000,
          100,
          1000,
          10,
          50,
          10000,
          100,
          10,
          10,
          100,
          50,
          5000,
          500,
          50000,
          5,
          5000000,
          10000,
          1000000,
          500000,
          10,
          500,
          50000,
          100,
          100,
          100,
          1000,
          5,
          500,
          10000,
          10,
          500,
          100,
          500,
          10,
          100,
          500,
          500,
          100,
          500,
          5000,
          10000,
          5,
          1000,
          100000,
          100,
          1000,
          500,
          5,
          5,
          50,
          1000,
          5000,
          50,
          50,
          5,
          10000,
          10000,
          10000,
          100,
          1000,
          100,
          5000,
          10000,
          1000,
          500,
          1000,
          50000,
          50000,
          1000,
          1000,
          100000,
          1000,
          500,
          100,
          100,
          100,
          5000,
          50000000,
          500,
          100,
          100,
          10000000,
          50,
          50,
          50,
          1000,
          10000000,
          10,
          1,
          100,
          5,
          5000000,
          100000,
          10000,
          100,
          100000,
          1000,
          100,
          100,
          100,
          100,
          500,
          100,
          500,
          100,
          100,
          1000,
          100,
          100,
          10,
          100,
          1000,
          10000,
          1000,
          100,
          100,
          100,
          50,
          100,
          10000000,
          100,
          100,
          100,
          50,
          100,
          100,
          10,
          100,
          100,
          500,
          100,
          100,
          500,
          50000,
          10000,
          5000000,
          10000,
          5000,
          1000,
          1000,
          10000,
          5000,
          100000,
          100,
          10000,
          1000,
          100,
          10000,
          100,
          1000,
          500,
          500,
          1000,
          1000,
          5000,
          5000,
          50000,
          100,
          100,
          500,
          100,
          100,
          10000,
          10,
          500,
          1000,
          1000,
          10000,
          10000,
          100,
          50,
          500,
          1000,
          10,
          50,
          1000,
          100000,
          1000,
          5000,
          1000,
          1000000,
          100000,
          5000,
          1000,
          1000000,
          500,
          10000,
          10000,
          5000,
          1000000,
          100,
          500000,
          100000,
          500000,
          100000,
          1000,
          50000,
          1000,
          1000,
          10000,
          500000,
          100000,
          100,
          500000,
          100,
          1,
          500,
          100,
          5000,
          5000,
          10,
          100,
          100000,
          10,
          100000,
          500,
          100,
          1000,
          50,
          100,
          100,
          50,
          1000,
          1000,
          1000,
          10,
          5000,
          10000,
          100000,
          50,
          5000000,
          10,
          500,
          10,
          1000,
          50000000,
          1000,
          5000,
          10000,
          5000000,
          100,
          1000,
          100,
          10000,
          10000,
          1000000,
          1000000,
          5000,
          100,
          1000,
          500,
          500000,
          100,
          100,
          100000,
          100000,
          500000,
          100,
          100000,
          10000000,
          50000,
          1000,
          10,
          100,
          0,
          500,
          50000,
          50000,
          1000000,
          500,
          10,
          10000000,
          100,
          1000000,
          10,
          10,
          10,
          50,
          100000,
          10000,
          5000000,
          1000000,
          1000000,
          500000,
          10000,
          50000,
          100000,
          10000000,
          500,
          10000,
          50000,
          10000,
          100,
          5000000,
          5000,
          1000,
          5000,
          500,
          50,
          5000,
          1000000,
          10,
          100,
          1000,
          100000,
          5000,
          1000,
          10,
          100,
          50000,
          10,
          10,
          5000000,
          1000,
          10000,
          10000000,
          1000000,
          10000,
          10,
          5,
          10000,
          100000,
          100000,
          100000,
          1000,
          10000,
          100,
          10,
          10,
          1000,
          5000,
          500000,
          100000,
          500000,
          1000,
          1000,
          10000,
          5000,
          50000000,
          10000,
          100,
          1000,
          10000000,
          5000000,
          1,
          1,
          100,
          500,
          10000000,
          5,
          5000,
          10,
          10,
          10000,
          10,
          100,
          100,
          50,
          100,
          500000000,
          50000000,
          1000000,
          10000000,
          5000000,
          100000,
          100000,
          500000,
          5000000,
          100000,
          100000000,
          100000,
          1000000,
          50000000,
          1000000,
          100000,
          100000,
          100000,
          10000,
          100000,
          50000,
          100000,
          100000,
          500000,
          500,
          10000,
          500000,
          10000,
          10000,
          10000,
          10000,
          100000,
          100000,
          500000,
          1000000,
          5000,
          10,
          100000,
          10000,
          1000000,
          10000000,
          100000,
          500000,
          1000000,
          10000000,
          5000000,
          1000000,
          5000000,
          1000000,
          10000000,
          5000000,
          500000,
          1000000,
          1000000,
          5000000,
          10000000,
          1000000,
          1000000,
          1000000,
          1000000,
          500000,
          100000,
          5000000,
          1000000,
          1000000,
          1000,
          100,
          1000000,
          10000,
          10000,
          1000000,
          10000,
          100000,
          1000,
          10000,
          5000,
          1000,
          5000,
          1000,
          10000,
          1000000,
          10000,
          1000,
          100000,
          10000,
          10000,
          1000,
          50000,
          50000,
          1000,
          500000,
          1000,
          500,
          10000,
          1000000,
          5000,
          1000,
          10000,
          500,
          5000000,
          10000,
          1000000,
          100,
          1000,
          1000,
          1000,
          1000000,
          100000,
          50000,
          10000,
          100000,
          500,
          10000,
          500000,
          10000,
          1000,
          1000,
          1000,
          100000,
          10,
          1000,
          5000,
          5000,
          1000000,
          10000,
          50000,
          10000,
          100000,
          1000000,
          500,
          500,
          1000000,
          10,
          1000,
          100,
          100,
          100,
          1000,
          100000,
          10000,
          100,
          100,
          1000000,
          500,
          100,
          500,
          1000000,
          500,
          100,
          10000,
          5,
          5000,
          100,
          5000000,
          10000,
          1000,
          1000000,
          1000,
          100,
          100000,
          1000,
          100000,
          500,
          500,
          10,
          10,
          500,
          5000,
          5,
          5,
          100000,
          100000,
          10,
          10000,
          1,
          100000,
          500000,
          10000,
          1000,
          10000,
          10000000,
          10000,
          100,
          10,
          100000,
          50000,
          5000000,
          5000000,
          100000,
          50,
          1000,
          100,
          50,
          100000,
          100,
          100000,
          1000,
          10000,
          1000000,
          5000000,
          10000000,
          500000,
          100000,
          100000,
          500,
          100000,
          10000,
          1000000,
          500000,
          100,
          1000000,
          5000,
          10000,
          1000000,
          500000,
          50000,
          10000,
          500000,
          5000,
          10000,
          100,
          1000,
          1000,
          5,
          5000,
          10000,
          100000,
          50000,
          5000,
          5000000,
          100,
          100,
          500,
          50000,
          5000,
          1000,
          50,
          100,
          1000000,
          100000000,
          1000000,
          1000000,
          10000000,
          5000000,
          1000,
          100000,
          10000,
          100000,
          100000,
          50000,
          10000,
          50000,
          5000,
          100000,
          500000,
          10000,
          100,
          1000,
          100000,
          10000,
          10000,
          1000000,
          500000,
          1000,
          1000000,
          100,
          10000,
          5000,
          10000,
          50000,
          1000,
          50,
          50000,
          10000,
          500000,
          5000,
          100000,
          10000,
          50000,
          10000,
          5000,
          50000,
          100,
          50000,
          50000,
          1000,
          5000,
          10000,
          1000,
          1000,
          1000,
          1000,
          500,
          1000,
          5000,
          10000,
          10000,
          100000,
          5000,
          1000,
          100,
          100,
          5000,
          50000,
          10000,
          100,
          1000,
          10000,
          1000,
          1000,
          10000,
          100,
          1000000,
          50,
          100000,
          10000,
          100,
          5000,
          1000,
          50,
          10000,
          50,
          100000,
          10000,
          10000,
          1000,
          100000,
          50000,
          10000,
          10000,
          10000,
          10000,
          10000,
          10000,
          10000,
          10000,
          50000,
          50000,
          50000,
          10000,
          10000,
          10000,
          50000,
          100000,
          50000,
          10000,
          1000,
          50000,
          10000,
          5000,
          100,
          5000000,
          1000000,
          5000000,
          10000000,
          10000000,
          10000000,
          1000000,
          10000,
          100000,
          1000000,
          1000000,
          100000,
          10000,
          500000,
          5000,
          100000,
          100000,
          10000,
          10000,
          50000,
          100000,
          100000,
          100000,
          1000,
          1000000,
          50000,
          1000000,
          100000,
          5000,
          1000000,
          10000,
          10000,
          100000,
          5000,
          10000,
          5000,
          100000,
          10000,
          10000,
          10000,
          10000,
          50000,
          1000,
          100000,
          10000,
          5000,
          50000,
          10000,
          100000,
          5000,
          5000,
          5000,
          50000,
          10000,
          100000,
          10,
          5000000,
          100000,
          50000,
          100,
          1000000,
          500,
          100,
          10,
          100,
          50,
          1000000,
          500,
          1000000,
          100,
          500000,
          100000,
          1000,
          100000,
          1000,
          500000,
          50000,
          50000,
          5000,
          500000,
          1000,
          1000000,
          5000000,
          5000000,
          5000,
          100000,
          1000,
          10000,
          10000,
          1000000,
          10000,
          10000,
          10000,
          1000,
          50000,
          500,
          1000,
          1000,
          1000,
          100000,
          500,
          5000,
          500,
          10000,
          10,
          5000,
          100,
          100,
          10000,
          500,
          50,
          500,
          10,
          100,
          50,
          50,
          100,
          500,
          1000,
          50,
          500000,
          100000,
          50,
          1000,
          5,
          50,
          0,
          1000000,
          50000,
          100,
          5000,
          5000000,
          500,
          1000,
          100,
          10000,
          100,
          1000,
          1000,
          100,
          100,
          50000,
          1000,
          5000,
          100,
          100,
          100,
          100,
          10,
          10,
          1000000,
          500,
          5,
          100,
          1000000,
          100,
          10,
          10,
          10000000,
          1000000,
          5000,
          1000000,
          5,
          100000,
          500000,
          10000,
          10000,
          10000,
          1000000,
          100000,
          10000,
          10000,
          1000,
          1000000,
          10000,
          10000,
          500000,
          100000,
          100000,
          50000,
          50000,
          50000,
          5,
          10,
          1000,
          10000,
          100000,
          10,
          1000,
          100000,
          100,
          100000,
          10,
          500,
          5000,
          500,
          100,
          10000,
          500000,
          1000000,
          1000,
          10000,
          10000000,
          5000000,
          50000000,
          5000000,
          1000000,
          5000000,
          10000000,
          1000000,
          10000000,
          1000000,
          5000000,
          10000000,
          10000000,
          50000,
          10000000,
          5000000,
          10000000,
          5000000,
          10000000,
          10000000,
          50000,
          50000,
          10000000,
          5000,
          500000,
          5000,
          1000,
          10000,
          10000,
          10000,
          100,
          500000,
          1000,
          10000,
          500,
          500,
          1000,
          10000,
          10000,
          1000,
          1000,
          10000,
          10000,
          10000,
          5000,
          5000,
          100,
          10000,
          10,
          10000,
          100,
          100000,
          5000,
          1000,
          1000,
          1000,
          100,
          1000,
          10000,
          10000000,
          5000000,
          10000000,
          500000,
          10000,
          10000000,
          1000000,
          10000,
          1000,
          5000000,
          1000,
          1000000,
          5000,
          100,
          10000000,
          500,
          5000,
          50000,
          1000,
          1000,
          10000,
          50000,
          10000000,
          50000000,
          500000,
          100,
          5000,
          100000,
          50,
          5000,
          500,
          500,
          1000,
          10000,
          5000,
          5000,
          10000000,
          10000000,
          5000000,
          10000000,
          10000000,
          5000000,
          1000000,
          10000000,
          50000000,
          1000000,
          10000000,
          1000000,
          10000000,
          5000000,
          1000000,
          50000000,
          5000000,
          50000000,
          10000000,
          10000000,
          5000000,
          10000000,
          10000000,
          100000,
          1000,
          100,
          500,
          1000,
          10000,
          100,
          50000,
          1000,
          500,
          100,
          100,
          100,
          1000,
          1000,
          10,
          100,
          100,
          500,
          500,
          10000,
          100,
          10,
          500000,
          50,
          5,
          10,
          100,
          500000,
          1000,
          5,
          1,
          10,
          5000000,
          500,
          5000000,
          100000,
          10000,
          1000,
          1000000,
          10000,
          1000,
          1000,
          10000000,
          500,
          10000,
          10000,
          1000,
          1000000,
          500,
          10000,
          1000,
          100,
          500000,
          100,
          100,
          100,
          10000,
          100,
          10,
          100,
          10,
          10000,
          100,
          10000,
          100,
          10000000,
          5000000,
          10000000,
          50000000,
          5000000,
          100000,
          1000,
          5000000,
          10000000,
          1000000,
          1000000,
          10000000,
          100000,
          10000,
          50000,
          100,
          500000,
          1000,
          1000000,
          10000,
          1000,
          5000000,
          100000,
          500000,
          10000000,
          10000,
          5000000,
          50,
          1000000,
          100000,
          10000000,
          100000,
          100000,
          1000,
          10000000,
          1000,
          100,
          10000000,
          1000000,
          1000000,
          50000000,
          10000000,
          500000,
          100000000,
          100000,
          5000000,
          10000000,
          100000000,
          1000000,
          50000000,
          10000000,
          50000000,
          10000000,
          10000000,
          10000000,
          5000000,
          10000000,
          10000000,
          1000000,
          100000,
          100000,
          100000,
          1000000,
          1000,
          1000,
          1000,
          50000,
          1000,
          5000,
          10000,
          10000,
          100000,
          1000,
          10000,
          50000,
          10000,
          100000,
          500,
          1000000,
          50000,
          100000,
          1000,
          100,
          50000,
          10000,
          100,
          10,
          10,
          10000,
          10,
          1000000,
          1000,
          10000,
          500,
          1000,
          500,
          50,
          100,
          100,
          100,
          100000,
          1,
          10,
          10000000,
          5000000,
          50000000,
          10000000,
          100000,
          1000000,
          10000000,
          1000000,
          1000000,
          1000,
          5000000,
          10000,
          5000,
          5000000,
          100000,
          10000000,
          5000000,
          10000,
          1000000,
          1000000,
          1000000,
          50000,
          10000,
          10000000,
          1000000,
          100000,
          1000000,
          1000000,
          1000000,
          10000,
          10000,
          5000,
          5000,
          100000,
          5000,
          1000,
          1000,
          1000,
          5000,
          10000,
          1000,
          10,
          1000,
          5000,
          1000,
          1000,
          100,
          10000,
          1000,
          5000,
          10,
          100,
          100,
          5000,
          500000,
          500,
          100,
          100,
          100,
          50,
          5,
          10,
          10,
          100,
          100,
          10,
          10000,
          10000,
          1000,
          100,
          50,
          50000,
          10,
          100000,
          500,
          5000,
          100000,
          10,
          10,
          50,
          500,
          100,
          100,
          100,
          5,
          10,
          10,
          50000,
          100000,
          100000,
          1000000,
          1,
          1000000,
          0,
          100000,
          500000,
          50000,
          1000000,
          50000,
          50000,
          10000,
          5000000,
          5000000,
          1000000,
          1000000,
          1000000,
          10000000,
          5000000,
          1000000,
          100000,
          5000000,
          1000000,
          1000000,
          100000,
          10000000,
          500000,
          1000000,
          100000,
          1000000,
          1000000,
          500000,
          100000,
          1000000,
          500000,
          100000,
          1000000,
          100000,
          100000,
          50000,
          1000000,
          100000,
          100000,
          1000000,
          1000000,
          100000,
          500000,
          10000,
          100000,
          500000,
          1000000,
          100000,
          5000,
          500000,
          50000,
          100000,
          100000,
          10000,
          500000,
          100000,
          5000,
          100000,
          100000,
          1000,
          1000000,
          1000,
          5000,
          1000,
          10000,
          10000,
          100000,
          100000,
          50000,
          100,
          5000,
          100000,
          10000,
          10000,
          10000,
          5000,
          5000,
          1000,
          10000,
          500000,
          5000,
          1000,
          5000,
          10000,
          50000,
          100000,
          10000,
          500000,
          100,
          1000,
          500,
          1,
          100000,
          1000000,
          1000000,
          10000,
          500000,
          100000,
          100000,
          100000,
          100000,
          10000000,
          10000,
          100000,
          1000000,
          1000000,
          1000000,
          1000,
          100,
          100000,
          50000000,
          10000000,
          100000000,
          5000000,
          100000,
          500000,
          1000000,
          1000000,
          1000000,
          1000000,
          10000000,
          500000,
          1000000,
          10000000,
          1000000,
          10000,
          500000,
          500000,
          10000000,
          1000000,
          5000000,
          100000,
          1000000,
          1000000,
          10000,
          100000,
          1000000,
          100000,
          10000,
          10000,
          10000000,
          1000000,
          1000000,
          1000,
          500000,
          1000000,
          5000,
          1000000,
          1000000,
          10000000,
          500000,
          1000000,
          500000,
          5000000,
          500000,
          1000000,
          1000000,
          100000,
          500000,
          50000,
          50000,
          100000,
          500,
          1000,
          50000,
          100,
          500,
          100000,
          50,
          1000,
          100000,
          10,
          1000,
          100,
          500,
          1000000,
          1000000,
          10000000,
          1000,
          5,
          500,
          10,
          100,
          100000,
          1000000,
          5000000,
          10000,
          100,
          1000,
          100,
          500,
          1000,
          500,
          10000,
          1000,
          5000,
          500,
          500,
          1000,
          1000000,
          10000000,
          1000,
          100,
          1000,
          10,
          10,
          1,
          0,
          10,
          500,
          100,
          50,
          1,
          1000,
          10000000,
          5000000,
          1000,
          10,
          1000,
          500,
          100,
          10000000,
          100,
          100000,
          50000,
          10000,
          500000,
          1000000,
          100000000,
          10000000,
          10000000,
          1000000,
          100000,
          1000000,
          1000000,
          5000000,
          100000,
          50000,
          500000,
          500000,
          5000000,
          1000000,
          50000,
          50000,
          100000,
          100000,
          50000,
          100000,
          50000,
          50000,
          50000,
          5000,
          5000000,
          100000,
          50000,
          10000000,
          10000000,
          10000,
          10000000,
          1000000,
          50000,
          10000,
          1000,
          5000,
          10000,
          10000,
          10000,
          1000,
          1000,
          10000,
          50,
          1000,
          50000,
          10000,
          1000000,
          100000,
          100,
          5000,
          50000,
          100,
          50000,
          10000,
          1000,
          100,
          100000,
          1000,
          1000,
          100,
          1000,
          10000,
          5000,
          500000,
          100000,
          50,
          100,
          100,
          500,
          10,
          10000,
          5000,
          1000,
          1000,
          100000,
          100000,
          100000,
          1000000,
          100000,
          10000,
          10000,
          10000,
          100000,
          1000,
          1000000,
          10000,
          50000,
          100,
          10,
          5000,
          1000,
          10000,
          1000,
          1000,
          500000,
          10000,
          1000,
          500,
          1000,
          10000,
          100,
          100,
          1000,
          10,
          5000,
          100000,
          10000,
          100,
          1000,
          1000,
          100,
          10000,
          10,
          10,
          500,
          5000,
          10000,
          100,
          500,
          10,
          500000,
          500000,
          5000,
          500000,
          5000,
          1000,
          5000,
          1000000,
          1000,
          10000,
          100000,
          1000,
          100000,
          10000,
          50000,
          500,
          1000,
          10000,
          5000,
          5000,
          10000,
          5000,
          5000,
          5000,
          10,
          100,
          500,
          500,
          100,
          5000,
          10000,
          50000,
          100,
          1000,
          10000,
          100,
          5000,
          100,
          10,
          50,
          1000,
          100,
          10,
          10000,
          50000,
          50000,
          50,
          10000,
          100000,
          10000,
          100,
          10000000,
          50,
          1000000,
          100000,
          100000,
          100000,
          10000,
          10000,
          10000,
          50000,
          100000,
          10000,
          1000,
          50000,
          100000,
          5000,
          50000,
          10000,
          100,
          1000,
          1000000,
          100000,
          10,
          100000,
          1000,
          5000,
          10000,
          100,
          100,
          1000,
          5000,
          500,
          1000,
          100000,
          500,
          10000,
          10000,
          1000,
          10000,
          10000,
          500,
          10000,
          1000,
          10000,
          5000,
          10,
          10,
          10000,
          1,
          50000000,
          50000000,
          50000000,
          10000000,
          10000000,
          10000000,
          10000000,
          10000000,
          500000,
          10000000,
          5000000,
          1000,
          5000000,
          1000000,
          1000000,
          10000000,
          5000000,
          1000000,
          5000000,
          10000000,
          10000000,
          100000000,
          1000000,
          100000,
          100000,
          1000000,
          1000000,
          1000000,
          10000000,
          100,
          10000,
          10000,
          10,
          100,
          50,
          1000,
          500000,
          1000,
          100000,
          100,
          1000000,
          5000,
          50,
          5000,
          10,
          10000000,
          100000,
          1000,
          50,
          1000,
          100000,
          5000,
          10,
          10,
          100000,
          1,
          10000,
          100000,
          1000,
          100,
          1000,
          10000,
          10,
          10,
          10000,
          5000,
          10000,
          50000,
          100000,
          100000,
          5,
          10000,
          1000000,
          1000000,
          5000,
          1000,
          100000,
          100000,
          1000,
          10000,
          10000,
          10,
          50000,
          100000,
          100,
          50,
          1000,
          100,
          1000,
          1000,
          50,
          10000,
          1000,
          100,
          10000,
          100,
          500,
          10,
          50000,
          50,
          100,
          100,
          10,
          500,
          500,
          100,
          1000,
          10000,
          100,
          1000,
          100,
          10,
          1,
          1000,
          1,
          10,
          100,
          100000,
          50000,
          10000,
          10000,
          5000,
          100000,
          50000,
          100000,
          5000,
          10000,
          50000,
          50000,
          1000,
          10000,
          1000,
          100,
          1000,
          100,
          5000,
          1000,
          500,
          10000,
          500,
          50,
          100,
          5000,
          100,
          500,
          1000,
          50,
          100,
          500,
          100,
          50,
          1,
          50000,
          1000,
          5,
          10000,
          5000,
          1000,
          100,
          1000,
          100,
          1000000,
          100,
          10000,
          50000,
          1000,
          50,
          1000,
          1000,
          100,
          100000,
          100,
          10000,
          500,
          1000,
          10,
          50,
          100,
          1000,
          10,
          100000,
          1000000,
          1000000,
          100000,
          10000,
          100,
          10000,
          1000000,
          50000000,
          1000,
          100000,
          1000000,
          500000,
          500000,
          50000,
          100000,
          1000000,
          1000000,
          1000000,
          100000,
          1000000,
          10000,
          1000000,
          100000,
          10000,
          100,
          1000,
          100,
          1000,
          100000,
          50,
          100,
          500000,
          100,
          5000,
          5000000,
          10000,
          1000000,
          1000000,
          10000000,
          50000,
          10000,
          500000,
          5000000,
          500000,
          10000000,
          1000000,
          500000,
          1000000,
          100000,
          5000000,
          10000000,
          5000000,
          5000000,
          500000,
          500000,
          10000000,
          100000,
          10000000,
          100000,
          100000,
          10000000,
          10000000,
          10000,
          1000000,
          100000,
          5000000,
          10000,
          1000000,
          100,
          100,
          10,
          10000,
          100,
          1000,
          10000,
          5,
          10,
          10,
          100,
          50,
          5000,
          10000,
          500000,
          1000000,
          5000,
          10,
          1000000,
          1000000,
          5000000,
          10,
          10000000,
          10000,
          50000,
          5000,
          1000000,
          1000,
          5000000,
          10000000,
          1000000,
          1000,
          50000,
          100,
          1000000,
          100,
          1000000,
          500,
          1000,
          1000000,
          1000,
          1000000,
          1,
          10000000,
          10,
          1000000,
          1000000,
          50,
          100,
          5,
          1000000,
          1000000,
          5000000,
          1000000,
          100,
          100000,
          1000000,
          50000,
          1000000,
          500000,
          1000000,
          10000,
          1000000,
          5000000,
          500000,
          1000000,
          10000,
          50000,
          5000,
          500000,
          10000,
          100000,
          100000,
          500000,
          1000000,
          1000000,
          50000,
          100000,
          10000,
          1000,
          10000,
          500,
          10000,
          10000,
          50000000,
          100,
          50,
          5000,
          5000,
          5000,
          500,
          1000,
          10,
          1000,
          10000,
          10,
          100,
          10,
          500,
          1000,
          500,
          100,
          1000,
          10000000,
          1000,
          50000,
          10000000,
          1000000,
          1000000,
          1000,
          1000,
          5000,
          100,
          500,
          1,
          1000000,
          1000,
          1000000,
          100,
          5000000,
          10000000,
          1000000,
          100000,
          100000,
          100000,
          100000,
          100000,
          500000,
          100000,
          50000,
          1000000,
          1000000,
          1000000,
          100000,
          10000,
          100000,
          5000000,
          100000,
          10000,
          100000,
          1000000,
          10000000,
          10000000,
          100000,
          5000000,
          100000,
          100000,
          1000000,
          5000000,
          10000000,
          10000000,
          5000000,
          500000,
          500000,
          10000000,
          500000,
          1000000,
          100000,
          500000,
          500000,
          1000000,
          5000000,
          500000,
          1000000,
          500000,
          100000,
          500000,
          100000,
          1000000,
          500000,
          50000000,
          1000000,
          10000000,
          500000,
          5000000,
          100000,
          500000,
          500000,
          100000,
          10000000,
          10000000,
          10000000,
          100000,
          10000000,
          10000000,
          5000000,
          10000000,
          1000000,
          1000000,
          10000000,
          1000000,
          10000000,
          5000000,
          10000000,
          1000000,
          500000,
          10000000,
          10000000,
          10000000,
          1000000,
          5000000,
          5000000,
          5000000,
          1000000,
          1000000,
          5000000,
          10000000,
          5000000,
          10000,
          1000,
          10,
          1000,
          100,
          10,
          100,
          10,
          50,
          100,
          10,
          10,
          10,
          10,
          10000,
          10,
          50,
          1,
          50,
          10,
          1000000,
          5000000,
          100,
          10000000,
          500000,
          100,
          1000000,
          1000000,
          1000000,
          10000000,
          1000000,
          10000000,
          1000000,
          500000,
          1000000,
          1000000,
          100,
          100,
          100,
          500,
          50000,
          100,
          10,
          100,
          100,
          1000,
          100,
          50,
          5000,
          100,
          500000,
          1000000,
          500,
          1000,
          10,
          10,
          100,
          500000,
          10000,
          100000,
          500,
          1000000,
          1000,
          10000,
          100,
          100,
          10000000,
          10000000,
          10000,
          1000000,
          100000,
          1000000,
          100000,
          100000,
          10000000,
          500,
          5000,
          1000000,
          100000,
          100000,
          50000,
          50000,
          500000,
          10000,
          500000,
          10000,
          50000,
          1000,
          10000,
          1000,
          100000,
          1000,
          10000,
          5000,
          1000,
          5000,
          500000,
          1000000,
          100000,
          500000,
          100000,
          500000,
          10,
          50000,
          5000,
          5000,
          1000,
          10000,
          500,
          100000,
          100000,
          1000,
          50000,
          1000,
          1000,
          10000000,
          5000,
          500,
          1000000,
          10000000,
          10000000,
          100000,
          100000,
          1000000,
          1000000,
          1000000,
          500000,
          100000,
          1000000,
          1000000,
          1000000,
          500000,
          1000,
          100000,
          5000,
          50000,
          1000,
          10000,
          50000,
          10000,
          500,
          5000,
          1000000,
          1000,
          100,
          100,
          10000,
          50000000,
          500000,
          100,
          10000000,
          50000,
          5000000,
          10000,
          500,
          100000,
          100000,
          5000000,
          1000000,
          10000,
          5000,
          100000,
          100000,
          100000,
          50000000,
          50000,
          100000,
          100000,
          50000,
          5000000,
          50000000,
          10000000,
          1000000,
          5000000,
          10000000,
          5000000,
          50000000,
          10000000,
          10000000,
          5000000,
          10000000,
          50000000,
          5000000,
          10000000,
          100000,
          50000,
          1000,
          1000,
          100000,
          50000,
          5000,
          1000,
          1000,
          1000,
          100,
          5000,
          10000,
          1000,
          50000,
          10000,
          10000,
          100,
          100,
          50,
          500,
          100000,
          10000,
          1000000,
          1000,
          1000,
          1000,
          500,
          500,
          1000,
          50000,
          1000,
          1000,
          100,
          100,
          1000,
          5000000,
          50,
          1000,
          500,
          50,
          10,
          1000,
          1000,
          50,
          100,
          100,
          100,
          10,
          100,
          100,
          1000,
          1000,
          10000,
          1000,
          10,
          10,
          50000,
          50,
          10,
          10,
          100,
          5,
          100,
          100,
          100,
          10,
          1000000,
          10000,
          100000,
          50000,
          100000,
          50000,
          50000,
          1000,
          10000,
          1000,
          1000,
          1000,
          5000,
          10000,
          1000,
          1000,
          10,
          100,
          1000,
          100,
          1000,
          1000,
          100,
          1000,
          5,
          5000,
          5000,
          1000,
          1000000,
          1000,
          500000,
          1000,
          500,
          100000,
          100000,
          1000000,
          1000000,
          1000,
          5000000,
          500,
          500000,
          1000000,
          1000000,
          100000,
          100000,
          100000,
          10000000,
          500,
          10,
          100000,
          100,
          5,
          50,
          100,
          100000,
          10,
          1000000,
          100,
          5,
          100,
          10,
          10000,
          10,
          10,
          100000,
          10,
          50000000,
          100000,
          10000,
          5000000,
          500,
          10000000,
          10000,
          50000,
          100000,
          100000,
          10000000,
          5000,
          100000,
          5000000,
          50000,
          10000000,
          1000000,
          5000000,
          10000000,
          1000000,
          100000,
          5000000,
          10000000,
          5000000,
          500000,
          500000,
          50000,
          5000,
          100000,
          1000000,
          1000,
          100000,
          1000000,
          1000000,
          500000,
          100000,
          100000,
          5000000,
          5000,
          50000,
          5000000,
          1000,
          100,
          5000000,
          5000,
          5000,
          50000,
          10000,
          1000,
          50,
          500,
          1000,
          100,
          1000,
          1000,
          100,
          5,
          10000,
          1000,
          5000,
          100,
          5,
          500,
          1000,
          100,
          5,
          500,
          10000,
          500,
          10000,
          10,
          10000000,
          1,
          500,
          100,
          5,
          10,
          10,
          1000,
          50,
          10000,
          100,
          1000000,
          1000000,
          10000000,
          10000,
          100000,
          100000,
          500,
          100,
          500000,
          5000000,
          1000000,
          1000000,
          500000,
          1000000,
          100000,
          10000,
          10000,
          1000,
          50000,
          100000,
          100000,
          100000,
          1000000,
          10000,
          5000,
          500000,
          1000,
          50000,
          10000,
          10000,
          10000,
          50000,
          1000000,
          1000,
          100000,
          1000000,
          5000,
          10000,
          50000,
          10000,
          10000,
          5000,
          100000,
          5000,
          1000,
          10000,
          100000,
          1000,
          50000,
          5000,
          5000,
          1000,
          1000,
          100,
          100000,
          100000,
          5,
          1000000,
          5000,
          5000,
          1000,
          500,
          1000000,
          5000000,
          1000,
          1000000,
          10000000,
          1000,
          1000,
          1000,
          10,
          10000000,
          1000000,
          10000000,
          10000000,
          10000000,
          1000000,
          50000000,
          1000000,
          500000,
          1000000,
          100000,
          1000000,
          10000,
          500000,
          1000000,
          500000,
          100000,
          50000,
          500000,
          10000000,
          10000,
          500,
          100000,
          100000,
          50000,
          500000,
          5000,
          100000,
          100000,
          5000,
          5000,
          1000000,
          100000,
          100000,
          5000,
          1000,
          10000,
          100000,
          10000,
          50,
          5000,
          100000,
          10000,
          500,
          10000,
          10000,
          1000000,
          100000,
          500000,
          10000,
          10000,
          10000,
          10000,
          1000000,
          100,
          50000,
          10000,
          10000,
          50000,
          100000,
          100000000,
          100000,
          10000,
          500,
          1000000,
          5000,
          10000,
          10000,
          5000,
          10000,
          1000,
          50000,
          500,
          100,
          10000,
          10000,
          50000,
          100000,
          1000,
          10000,
          100000,
          5000000,
          500,
          50000,
          10000,
          500,
          10000,
          100000,
          10000,
          100000,
          5000,
          10000,
          100000,
          1000,
          100000,
          100000,
          10000,
          10000,
          500,
          100000,
          1000,
          1000000,
          10,
          1000,
          1,
          1000000,
          1000,
          10000,
          5000,
          500000,
          10000,
          1000,
          10000,
          1000,
          5000,
          10000,
          100,
          100000,
          10000,
          50,
          10000,
          10000,
          50000,
          1000000,
          5000000,
          1000,
          5000,
          1000,
          50000,
          1000,
          10,
          500,
          100,
          10,
          500,
          100,
          100,
          1000,
          1000,
          1000,
          1000,
          100,
          100,
          100,
          1000,
          10000,
          1000,
          500,
          100,
          1000,
          500,
          10,
          100,
          50,
          100,
          1000,
          100,
          10000,
          100,
          5000,
          10,
          1000,
          100,
          500,
          5000,
          1000,
          1000000,
          1000,
          10,
          100,
          10,
          10,
          10000,
          50,
          1000000,
          5000000,
          5000000,
          1000,
          10000000,
          10000,
          10000000,
          10,
          50000000,
          5000000,
          10000,
          1000000,
          1000000,
          10000000,
          1000000,
          1000000,
          10000000,
          500000,
          100000,
          5000000,
          1000000,
          500000,
          500000,
          1000000,
          1000000,
          500000,
          5000000,
          10000,
          5000,
          10,
          100,
          10000,
          500,
          1000,
          500,
          1000,
          1000,
          1000,
          50000000,
          5000,
          1000,
          500,
          100,
          500,
          100,
          1000,
          100,
          1,
          1000,
          1000000,
          100,
          500,
          1000,
          5000000,
          10000,
          100,
          5000000,
          1000,
          10000,
          50000000,
          50000,
          100000,
          100,
          500,
          1000000,
          5000000,
          100000,
          1000000,
          500000,
          100,
          100000,
          1000000,
          10000,
          100000,
          1000000,
          500000,
          1000000,
          10000,
          1000000,
          1000,
          500000,
          5000,
          100000,
          50000,
          500000,
          5000,
          100000,
          100000,
          10000,
          10000,
          50000,
          500000,
          10000,
          100000,
          1000,
          50000,
          50000,
          10000,
          1000,
          50000,
          500000,
          500000,
          10000,
          100,
          1000,
          100,
          10000,
          1000,
          5000,
          1000000,
          10000,
          500,
          1000,
          5000000,
          100,
          100,
          100,
          50,
          10000,
          100,
          100,
          100,
          1000000,
          10000000,
          100000,
          10000000,
          10000000,
          500000,
          10000000,
          10,
          1000000,
          100000,
          50000000,
          1000000,
          50000,
          500,
          1000000,
          10,
          10000,
          10000000,
          1000000,
          100000,
          10,
          10,
          1000000,
          10000,
          10,
          10,
          1,
          100,
          10,
          5,
          50,
          100,
          50,
          100,
          10,
          1,
          5,
          50,
          10,
          10,
          50,
          10,
          10,
          50000000,
          10,
          10,
          10000,
          5,
          5000000,
          5,
          1000,
          10,
          100,
          5,
          10,
          10,
          5,
          10,
          100,
          10,
          50000,
          5,
          5000000,
          100000,
          10000,
          50000,
          10000,
          100000,
          5000,
          1000,
          10000,
          5000,
          100000,
          50000,
          10000,
          100000,
          5000,
          1000,
          5000,
          1000,
          5000,
          1000,
          500,
          1000,
          1000,
          5000,
          50000,
          1000,
          100000,
          500,
          10000,
          10000,
          1000,
          10000,
          50000,
          10,
          100,
          5000,
          5000,
          500,
          5000,
          100,
          10,
          10000,
          5000,
          100,
          1000000,
          5000,
          100,
          10000,
          10000,
          100,
          50,
          100000,
          10000,
          10,
          50,
          1000,
          1000,
          1000,
          100000,
          1000,
          5000,
          10000,
          1000,
          5000,
          10000000,
          500,
          10000,
          10000,
          1000,
          100000,
          500000,
          10000,
          10000,
          10000,
          10000,
          100000,
          50,
          1,
          1000,
          100,
          5,
          10,
          50,
          10,
          500,
          10000,
          1000,
          5000,
          10,
          1000000,
          10,
          1000000,
          500,
          100,
          10000,
          100000,
          100000,
          5000000,
          1000000,
          10000,
          10000,
          10000000,
          100000,
          1000,
          500,
          100,
          100,
          100,
          100,
          100,
          100,
          50,
          1000,
          1,
          500,
          50,
          100,
          100,
          500,
          100000000,
          1,
          100,
          10000000,
          1000000,
          1000000,
          100000,
          5000000,
          10000000,
          1000000,
          5000,
          1000,
          100,
          100000,
          10000000,
          10000,
          1000,
          1000000,
          50000,
          10000000,
          10000000,
          5000000,
          100000,
          10000,
          100,
          100,
          1000,
          5000,
          500000,
          10000000,
          1000000,
          1000,
          500,
          100,
          1,
          1000,
          5000,
          10,
          1000,
          100000,
          1000,
          5000,
          10000,
          10000,
          5000,
          50000,
          1000000,
          1000,
          1000,
          10,
          50000,
          1,
          100000,
          100000,
          500,
          100,
          100000,
          1000,
          100,
          10,
          10,
          1,
          10,
          100000,
          10000,
          10000,
          1000,
          10000000,
          50000,
          10000000,
          50000,
          50000,
          500,
          50000,
          50000,
          50000,
          1000000,
          500000,
          1000,
          100000,
          1000000,
          1000000,
          100000,
          5000,
          1000,
          10000,
          1000000,
          100000,
          100,
          500,
          100,
          50000,
          1000000,
          100,
          100,
          1000,
          10000,
          50000,
          500000,
          100,
          100000,
          10000,
          5000,
          1000,
          50,
          10,
          100,
          10000,
          100,
          5000000,
          5000,
          10000,
          10000,
          100000,
          5000,
          100000,
          1000,
          500,
          10,
          5000,
          100,
          1000,
          1000,
          10000000
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Number of downloads of paid apps vs. free apps"
        },
        "yaxis": {
         "autorange": true,
         "title": {
          "text": "Log number of downloads"
         },
         "type": "log"
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"63678579-934f-40a7-b355-05b96bc47993\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"63678579-934f-40a7-b355-05b96bc47993\")) {                    Plotly.newPlot(                        \"63678579-934f-40a7-b355-05b96bc47993\",                        [{\"name\":\"Paid\",\"y\":[100000.0,100000.0,100000.0,10000.0,1000.0,50.0,100.0,100.0,100.0,1000.0,1000.0,500000.0,100000.0,100000.0,100000.0,10000.0,50000.0,100000.0,10000.0,100000.0,100000.0,100000.0,100000.0,100000.0,100000.0,100000.0,100000.0,100000.0,100000.0,5000.0,5000.0,1000.0,500.0,100000.0,10000.0,10000.0,1000.0,1000.0,1000.0,100.0,100.0,1000.0,5000.0,5000.0,1000.0,10000.0,10000.0,5000.0,1000.0,10000.0,10000.0,50000.0,10000000.0,1000000.0,100000.0,10000.0,10000.0,10000.0,10000.0,10000.0,5000.0,5000.0,100000.0,50000.0,1000.0,10000.0,50000.0,1000.0,1000.0,10000.0,1000.0,1000.0,1000.0,100.0,5000.0,5000.0,500.0,1000.0,10000.0,1000.0,100.0,1000.0,500.0,5000.0,1000.0,500.0,1000.0,5000.0,10000.0,1000.0,10000.0,100.0,1000.0,5000.0,10000.0,1000.0,1000.0,100.0,50000.0,1000.0,1000.0,5000.0,5000.0,1000.0,10000.0,50.0,1000.0,10000.0,1000.0,1000.0,500.0,500.0,1000.0,5000.0,1000.0,100.0,1.0,50.0,10.0,1.0,1000000.0,100000.0,100000.0,50000.0,1000000.0,1000000.0,10000.0,10000.0,100000.0,100000.0,100000.0,100.0,100.0,5000.0,1000.0,100.0,1000.0,500.0,50000.0,10000.0,10000.0,10000000.0,100000.0,100000.0,100000.0,10000.0,10.0,100000.0,500000.0,5.0,10.0,10.0,500.0,5000.0,1000.0,1000.0,100.0,100.0,5000.0,5000.0,500.0,5000.0,10.0,500.0,100.0,5000.0,500.0,100.0,10000.0,50000.0,1.0,1000000.0,10.0,10000.0,500.0,1000.0,100.0,1000.0,10000.0,10000.0,100000.0,1000.0,5000.0,100000.0,10000.0,1000.0,10000.0,1000.0,10000.0,100000.0,1000.0,5000.0,10000.0,10000.0,10000.0,10000.0,100.0,100.0,5000.0,100.0,5.0,100.0,1000.0,100.0,10.0,500.0,1.0,100.0,10000.0,10.0,0.0,100.0,100.0,1.0,100.0,5000.0,500.0,10.0,5000.0,100.0,50.0,1000.0,50000.0,100000.0,100000.0,50000.0,100.0,1000.0,1000.0,100.0,10000.0,100000.0,10000.0,5000.0,5000.0,10000.0,1000.0,10000.0,5000.0,10000.0,100000.0,50.0,50000.0,50000.0,10000.0,500.0,1000.0,10000.0,5000.0,10000.0,1000.0,10000.0,5000.0,50.0,10000.0,1000.0,100000.0,10000.0,50000.0,1000.0,1000000.0,10000.0,100.0,10.0,50000.0,10000.0,500000.0,1000.0,10000.0,10000.0,50000.0,10000.0,10000.0,100000.0,1000.0,10000.0,5000.0,100.0,1000.0,10000.0,1000.0,10.0,100000.0,1000.0,5000.0,100.0,500.0,5000.0,1.0,100.0,5000.0,1000.0,100.0,500.0,50000.0,100.0,10.0,100.0,50.0,10.0,50.0,10.0,10.0,0.0,10000.0,100000.0,10000.0,10000.0,50000.0,1000.0,1000.0,5000.0,1000.0,10000.0,5000.0,1000.0,10000.0,10000.0,5000.0,5000.0,1000.0,100000.0,100000.0,1000.0,1000.0,10.0,100.0,500.0,100.0,5.0,10.0,0.0,10.0,1000000.0,1.0,1000.0,1000000.0,50000.0,500000.0,1000000.0,100000.0,100000.0,100000.0,10000.0,1000.0,5000.0,100.0,1000.0,100.0,10000.0,100000.0,1000.0,10.0,1.0,1.0,10.0,1.0,1000.0,1000.0,1000.0,500.0,1000.0,1.0,5.0,100.0,10.0,0.0,5000.0,1000.0,1000.0,100.0,50.0,50000.0,10.0,50.0,100000.0,100000.0,1000.0,1000.0,1000.0,5000.0,50000.0,500.0,5000.0,10.0,100000.0,50000.0,10000.0,100.0,100000.0,50000.0,100000.0,50000.0,1.0,10.0,500.0,100.0,100.0,10000.0,50.0,5.0,10.0,100.0,50.0,100.0,500.0,10000.0,500.0,1000.0,500.0,1000.0,1000.0,10.0,5000.0,1000.0,100000.0,1000.0,1000.0,100.0,10.0,1000.0,1000.0,100.0,1000.0,50.0,1000.0,1.0,1000000.0,100000.0,5000.0,0.0,50000.0,10.0,50.0,1000.0,1000.0,10000.0,10.0,5.0,500.0,100000.0,1000.0,1000.0,100000.0,1000.0,500000.0,10000.0,100.0,1000.0,1000.0,1000.0,100.0,100.0,100.0,500.0,500.0,10000.0,100.0,1000.0,10000.0,10000.0,100.0,50.0,1000.0,1.0,1000.0,1000.0,1000.0,10.0,5000.0,500.0,50000.0,5.0,1000.0,50.0,10.0,10.0,1000.0,1000000.0,100000.0,10000.0,10000.0,50000.0,1000.0,10000.0,10.0,10.0,5.0,1000000.0,100.0,10.0,10.0,10.0,100000.0,10000.0,10000.0,100.0,10000.0,100000.0,100000.0,100000.0,10000.0,10000.0,50000.0,10000.0,10000.0,5000.0,100.0,100.0,1000.0,10.0,100.0,10.0,500.0,100.0,100.0,100.0,500000.0,100.0,10.0,10.0,100.0,100.0,1000.0,50.0,100.0,100.0,50000.0,1000.0,1000.0,100.0,100.0,5000.0,100.0,100.0,10000.0,5000.0,5000.0,100.0,10.0,10.0,1.0,1000.0,500.0,10000.0,1000.0,100000.0,10.0,10.0,10.0,1000.0,10.0,1000.0,1.0,5.0,10.0,100000.0,100000.0,10000.0,10000.0,500.0,50.0,500.0,10.0,10.0,1.0,50000.0,50.0,5000.0,10.0,10000.0,10.0,10.0,10.0,100.0,100.0,10000.0,50.0,1000.0,100.0,10.0,500000.0,1000.0,1.0,50000.0,10.0,1000.0,5.0,50.0,5000.0,10000.0,10.0,5000.0,1000.0,50000.0,50000.0,10000.0,10000.0,100000.0,10000.0,100000.0,100000.0,100000.0,1000.0,10000.0,500.0,50000.0,100000.0,100.0,1000.0,10000.0,50000.0,100000.0,50000.0,1000000.0,100.0,50.0,10000.0,10.0,50.0,1000000.0,100000.0,1000.0,10000.0,100000.0,5000.0,10000.0,1000.0,100.0,10000.0,5000.0,100000.0,100.0,10.0,500.0,50.0,50.0,50.0,10.0,100.0,50.0,500.0,10000.0,10000.0,10.0,1.0,1.0,1000000.0,500000.0,1000000.0,1000000.0,5.0,1000.0,1000.0,500.0,100.0,10000.0,1000.0,50.0,0.0,50000.0,50.0,10000.0,1000.0,500000.0,1000.0,100000.0,10000.0,1000.0,10000.0,1000.0,5000.0,1000.0,100000.0,10000.0,1000.0,100.0,100.0,1000000.0,500.0,50000.0,1000.0,50.0,100.0,100000.0,50.0,500.0,0.0,100000.0,10.0,500000.0,500.0,50000.0,1000.0,10000.0,0.0,10.0,0.0,100.0,10000.0,0.0,1000000.0,10000.0,100000.0,100000.0,500000.0,10000.0,50000.0,5000.0,5000.0,1000.0,5000.0,5000.0,5000.0,5000.0,50.0,100.0,500.0,100000.0,100.0,50000.0,100.0,10000.0,10000.0,10000.0,1000.0,1000.0,1000.0,100.0,5000.0,100.0,100000.0,10000.0,1000.0,1000.0,5000.0,5000.0,100000.0,10.0,10.0,10.0,10.0,10.0,10.0,5.0,10.0,50.0,100000.0,1000000.0,100.0,1.0,100.0,1000.0,10000.0,10000.0,50.0],\"type\":\"box\"},{\"name\":\"Free\",\"y\":[10000.0,500000.0,5000000.0,50000000.0,100000.0,50000.0,50000.0,1000000.0,1000000.0,10000.0,1000000.0,1000000.0,10000000.0,100000.0,100000.0,5000.0,500000.0,10000.0,5000000.0,10000000.0,100000.0,100000.0,500000.0,100000.0,50000.0,10000.0,500000.0,100000.0,10000.0,100000.0,100000.0,50000.0,100000.0,100000.0,10000.0,100000.0,500000.0,5000000.0,10000.0,500000.0,10000.0,100000.0,10000000.0,100000.0,10000.0,10000000.0,100000.0,100000.0,100000.0,100000.0,1000000.0,100000.0,1000000.0,100000.0,100000.0,100000.0,50000.0,100000.0,100000.0,100000.0,10000.0,100000.0,1000000.0,100000.0,100000.0,10000.0,50000.0,5000000.0,100000.0,5000000.0,5000000.0,500000.0,10000000.0,100000.0,500000.0,50000.0,100000.0,1000000.0,100000.0,1000000.0,50000.0,1000000.0,500000.0,100000.0,1000000.0,1000000.0,100000.0,100000.0,1000000.0,100000.0,100000.0,1000000.0,1000000.0,1000000.0,1000000.0,500000.0,500000.0,100000.0,500000.0,1000000.0,100000.0,500000.0,1000000.0,500000.0,100000.0,1000000.0,50000.0,1000000.0,10000.0,1000000.0,100000.0,10000.0,50000.0,100000.0,10000.0,10000.0,10000.0,10000000.0,500000.0,1000000.0,50000.0,10000.0,1000000.0,50000.0,500000.0,500000.0,100000.0,10000.0,5000.0,10000.0,10000.0,100000.0,5000.0,100000.0,10000.0,10000.0,1000000.0,50000.0,10000.0,100000000.0,50000.0,100000.0,10000000.0,100000000.0,10000000.0,10000000.0,10000000.0,100000.0,1000000.0,10000000.0,500000.0,1000000.0,1000000000.0,5000000.0,100000.0,10000000.0,500000.0,10000000.0,1000000.0,1000000.0,500000.0,1000000.0,500000.0,10000.0,5000000.0,100000.0,5000000.0,500000.0,1000000.0,500000.0,500000.0,1000000.0,5000000.0,10000000.0,100000.0,100000.0,100000.0,50000.0,500000.0,10000000.0,50000.0,1000000.0,1000000.0,1000000.0,500000.0,100000.0,10000000.0,10000000.0,50000000.0,10000000.0,5000000.0,1000000.0,50000000.0,5000000.0,100000000.0,1000000.0,1000000.0,500000.0,10000000.0,5000000.0,1000000.0,50000000.0,10000000.0,1000000.0,10000000.0,5000000.0,5000000.0,5000000.0,5000000.0,100000.0,1000000.0,1000000.0,1000000.0,10000000.0,5000000.0,1000000.0,5000000.0,100000.0,10000000.0,1000000.0,1000000.0,100000.0,5000000.0,1000000.0,100000.0,50000000.0,5000000.0,100000.0,1000000.0,1000000.0,10000000.0,10000000.0,1000000.0,50000.0,5000000.0,5000000.0,100000.0,100000.0,1000000.0,500000.0,100000.0,500000.0,500000.0,1000000.0,1000000.0,1000000.0,100000.0,100000.0,1000000.0,1000000.0,10000000.0,100000.0,100000.0,5000000.0,50000.0,1000000.0,500000.0,10000000.0,10000.0,10000000.0,500000.0,1000000.0,500000.0,50000.0,50000.0,50000.0,1000000.0,10000.0,10000.0,10000.0,10000.0,10000.0,100000.0,5000000.0,100000.0,1000000.0,100000.0,1000000.0,1000000.0,1000000.0,1000000.0,100000.0,5000000.0,50000.0,100000.0,10000.0,10000.0,5000.0,500000.0,1000000.0,5000.0,1000.0,5000000.0,10000.0,50000.0,1000000.0,100000.0,1000000000.0,1000000000.0,10000000.0,1000000000.0,100000000.0,1000000000.0,1000000000.0,500000000.0,5000000.0,100000000.0,100000000.0,100000000.0,500000000.0,50000000.0,5000000.0,5000000.0,100000000.0,10000000.0,10000000.0,10000000.0,10000000.0,100000000.0,1000000.0,1000000.0,10000000.0,5000000.0,10000000.0,10000000.0,100000000.0,5000000.0,100000000.0,100000000.0,10000000.0,1000000.0,100000000.0,100000000.0,500000000.0,10000000.0,1000000.0,100000.0,10000000.0,10000000.0,10000000.0,500000000.0,5000000.0,5000000.0,10000000.0,10000000.0,5000000.0,50000000.0,1000000000.0,100000000.0,1000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,500000000.0,10000000.0,1000000.0,100000000.0,100000000.0,1000000.0,50000000.0,1000000.0,50000000.0,1000000.0,1000000.0,1000000.0,10000000.0,500000.0,500000.0,10000000.0,10000000.0,1000000.0,1000000.0,5000000.0,10000000.0,10000000.0,1000000.0,1000000.0,10000000.0,10000000.0,5000000.0,10000000.0,5000000.0,1000000.0,1000000.0,5000000.0,1000000.0,100000000.0,1000000.0,5000000.0,10000000.0,1000000.0,1000000.0,1000000.0,10000000.0,50000000.0,10000.0,5000000.0,1000000.0,500000.0,1000000.0,5000000.0,10000000.0,10000000.0,10000000.0,100000.0,500000.0,5000000.0,1000000.0,10000000.0,1000000.0,10000000.0,5000000.0,5000000.0,100000.0,500000.0,1000000.0,1000000.0,10000.0,1000000.0,1000000.0,100000.0,10000000.0,1000000.0,100000.0,500000.0,5000.0,500000.0,5000000.0,1000000.0,100000.0,1000000.0,1000000.0,100000.0,100000.0,500000.0,500000.0,500000.0,100000.0,500000.0,500000.0,100000.0,50000.0,1000000.0,1000000.0,100000.0,100000.0,100000.0,10000.0,100000.0,1000000.0,100000.0,10000000.0,500000.0,100000.0,1000000.0,50000.0,5000000.0,500000.0,100000.0,100000.0,500000.0,100000.0,10000.0,100000.0,1000000.0,50000.0,10000.0,1000000.0,100000.0,10000.0,10000.0,500000.0,500000.0,500000.0,10000.0,100000.0,100000.0,500000.0,1000000.0,10000.0,10000000.0,10000.0,100000.0,10000.0,1000000.0,50000.0,10000.0,500000.0,5000000.0,1000000.0,1000.0,5000.0,1000.0,500.0,5000.0,10000.0,100.0,10000.0,1000.0,100.0,1000.0,1000.0,1000.0,100.0,500.0,500.0,5000.0,100.0,100.0,50.0,5000.0,50.0,500.0,10.0,500.0,500.0,100.0,1000.0,10.0,100.0,10.0,500.0,500.0,10.0,100.0,100.0,10.0,10.0,100.0,50.0,100.0,100.0,10.0,500.0,1000.0,500.0,50.0,1.0,10.0,1000.0,1.0,50.0,100.0,10000.0,500.0,1000.0,10.0,5.0,10.0,100.0,1000.0,500000.0,500.0,10000.0,50000.0,10000.0,5000.0,10000.0,1000.0,10000.0,5000.0,100000000.0,10000000.0,100000.0,5000000.0,10000000.0,100000.0,5000000.0,1000000.0,500000.0,500000.0,1000000.0,1000000.0,5000000.0,1000000.0,500000.0,5000000.0,500000.0,1000000.0,10000000.0,10000000.0,1000000.0,5000000.0,50000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,500000.0,1000000.0,5000000.0,1000000.0,500000.0,500000.0,100000.0,10000000.0,100000.0,5000000.0,10000000.0,10000000.0,1000000.0,5000000.0,1000000.0,5000000.0,5000000.0,10000000.0,1000000.0,1000000.0,1000000.0,1000000.0,10000.0,50000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,100000.0,1000000.0,100000.0,10000.0,10000.0,50000.0,500000.0,100000.0,100000.0,100000.0,10000.0,100000.0,100000.0,50000.0,50000.0,100000.0,100000.0,5000000.0,10000000.0,1000000.0,1000000.0,5000000.0,5000000.0,1000000.0,500000.0,1000000.0,1000000.0,10000000.0,1000000.0,500000.0,1000000.0,1000000.0,50000.0,1000000.0,100000.0,100000.0,100000.0,100000.0,10000000.0,100000.0,10000.0,10000000.0,10000000.0,500000.0,5000000.0,500000.0,1000000.0,1000000.0,1000000.0,100000.0,1000000.0,100000.0,1000000.0,100000000.0,1000000.0,1000000.0,10000000.0,50000000.0,10000000.0,5000000.0,5000000.0,10000000.0,5000000.0,1000000000.0,100000000.0,5000000.0,1000000.0,5000000.0,5000000.0,1000000.0,1000000.0,10000000.0,100000000.0,5000000.0,10000000.0,1000000.0,10000000.0,50000000.0,5000000.0,10000000.0,1000000.0,10000000.0,1000000.0,10000000.0,50000000.0,1000000.0,100000000.0,50000000.0,1000000.0,5000000.0,50000000.0,100000000.0,1000000.0,100000.0,1000000.0,1000000.0,10000000.0,100000.0,100000.0,1000000.0,500000.0,100000.0,100000.0,1000000.0,1000000.0,10000000.0,1000000.0,10000000.0,10000000.0,10000000.0,50000.0,1000000.0,10000000.0,1000000.0,5000000.0,1000000.0,5000000.0,1000000.0,10000000.0,10000000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,500000.0,5000000.0,10000000.0,500000.0,1000000.0,1000000.0,10000000.0,1000000.0,10000000.0,10000000.0,1000000.0,10000000.0,1000000.0,10000000.0,100000.0,1000000.0,10000.0,100000.0,100000.0,5000000.0,100000.0,1000000.0,1000000.0,1000000.0,1000000.0,10000000.0,10000000.0,10000000.0,100000.0,5000000.0,500000.0,50000.0,5000000.0,1000000.0,10000.0,1000000.0,100000.0,10000.0,1000000.0,100000.0,100000.0,100000.0,50000.0,1000.0,1000000.0,10000.0,500.0,50000.0,100.0,100.0,100000.0,100000.0,500.0,100000.0,100.0,100000.0,100.0,1000.0,5000.0,100000.0,1000.0,100000.0,100.0,1000.0,50000.0,5000.0,100000.0,100.0,1000.0,1000.0,100.0,500.0,10000000.0,1000000.0,5000000.0,5000000.0,5000000.0,10000000.0,500000.0,5000000.0,10000000.0,1000000.0,1000000.0,10000000.0,5000000.0,1000000.0,1000000.0,10000000.0,1000000.0,5000000.0,1000000.0,1000000.0,5000000.0,1000000.0,5000000.0,1000000.0,1000000.0,10000000.0,10000000.0,1000000.0,50000000.0,10000000.0,1000000.0,1000000.0,1000000.0,10000000.0,1000000.0,100000000.0,5000000.0,1000000.0,5000000.0,1000000.0,10000000.0,10000.0,1000000.0,100000.0,100000.0,100000.0,1000000.0,1000000.0,1000000.0,1000000.0,5000000.0,500000.0,1000000.0,100000.0,500000.0,1000000.0,1000000.0,100000.0,100000.0,1000000.0,1000000.0,50000.0,1000000.0,100000.0,100000.0,1000000.0,5000000.0,1000000.0,100000.0,1000000.0,100000.0,1000000.0,1000000.0,50000.0,1000000.0,5000000.0,500000.0,1000000.0,1000000.0,1000000.0,5000000.0,1000000.0,100000.0,500000.0,1000000.0,1000000.0,500000.0,1000000.0,5000000.0,500000.0,1000000.0,5000000.0,5000000.0,50000.0,100000.0,1000000.0,500000.0,1000000.0,500000.0,1000000.0,100000.0,100000.0,1000000.0,1000000.0,5000000.0,50000.0,10000000.0,10000.0,5000000.0,1000000.0,5000000.0,1000000.0,10000000.0,10000000.0,1000000.0,10000000.0,50000.0,10000000.0,1000000.0,10000.0,100000.0,1000000.0,10000000.0,1000000.0,500000.0,10000000.0,500000.0,50000.0,1000000.0,1000000.0,1000000.0,500000.0,5000000.0,1000000.0,5000000.0,1000000.0,10000000.0,100000.0,10000000.0,5000000.0,5000000.0,1000000.0,10000000.0,5000000.0,1000000.0,1000000.0,1000000.0,1000000.0,100000.0,100000.0,1000000.0,50000.0,500000.0,500000.0,100000.0,1000000.0,1000000.0,100000.0,100000.0,5000000.0,500000.0,100000.0,1000000.0,10000.0,50000.0,5000000.0,1000000.0,1000000.0,10000000.0,1000000.0,1000000.0,1000000.0,5000000.0,10000000.0,10000000.0,50000.0,100000.0,1000000.0,1000000.0,100000.0,10000000.0,100000.0,1000000.0,10000000.0,1000000.0,5000000.0,5000000.0,10000000.0,10000000.0,500000.0,5000000.0,1000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,1000000.0,10000000.0,1000000.0,100000.0,500000.0,100000.0,500000.0,5000000.0,1000000.0,10000000.0,50000.0,10000000.0,500000.0,100000.0,1000000.0,10000000.0,500000.0,10000000.0,5000000.0,1000000.0,50000000.0,100000.0,5000000.0,10000000.0,1000000.0,100000.0,10000000.0,1000000.0,500000.0,100000.0,10000000.0,1000000.0,5000000.0,1000000.0,500000.0,1000000.0,1000000.0,1000000.0,10000000.0,10000000.0,5000000.0,1000000.0,10000000.0,500000.0,10000000.0,10000000.0,1000000.0,5000000.0,1000000.0,10000000.0,10000000.0,5000000.0,1000000.0,5000000.0,1000000.0,5000000.0,1000000.0,100000.0,1000000.0,500000.0,500000.0,100000.0,1000000.0,500000.0,100000.0,100000.0,1000000.0,5000000.0,5000000.0,500000.0,10000000.0,100000.0,1000000.0,1000000.0,1000000.0,1000000.0,5000000.0,1000000.0,1000000.0,1000000.0,500000.0,10000000.0,500000.0,1000000.0,100000000.0,10000000.0,5000000.0,5000000.0,500000.0,1000000.0,1000000.0,1000000.0,10000000.0,50000.0,50000.0,5000000.0,5000000.0,1000000.0,1000000.0,10000000.0,10000000.0,1000000.0,500000.0,1000000.0,1000000.0,100000.0,10000000.0,1000000.0,100000.0,50000.0,500000.0,1000000.0,100000.0,5000000.0,100000.0,500000.0,100000.0,1000000.0,500000.0,100000.0,500000.0,1000000.0,500000.0,500000.0,1000000.0,500000.0,5000000.0,1000000.0,1000000.0,10000000.0,100000.0,1000000.0,10000000.0,5000000.0,1000000.0,1000000.0,1000000.0,10000000.0,10000.0,10000000.0,500000.0,100000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,100000.0,5000000.0,1000000.0,1000000.0,1000000.0,5000.0,5000000.0,10000.0,100000.0,500000.0,1000000.0,100000.0,1000000.0,100000.0,100000.0,1000000.0,500000.0,500000.0,5000000.0,500000.0,5000.0,100000.0,10000.0,50000.0,100000.0,10000.0,100000.0,1000000.0,100000.0,500000.0,1000000.0,50000.0,1000000.0,500000.0,1000000.0,1000000.0,500000.0,500000.0,50000.0,50000.0,10000.0,100000.0,1000.0,100000.0,10000.0,100000.0,5000000.0,50000.0,10000000.0,1000.0,100000.0,50000.0,100000.0,50000.0,100000.0,10000.0,50000.0,50000.0,100000.0,100000.0,10000000.0,10000.0,100000.0,10000.0,10000.0,5000.0,500000.0,5000000.0,100000.0,1000000.0,10000.0,1000000.0,1000.0,500000.0,1000000.0,100000.0,1000000.0,10000.0,1000000.0,500000.0,500000.0,100000.0,50000.0,500000.0,500000.0,1000000.0,100000.0,5000000.0,10000000.0,100000.0,10000000.0,5000000.0,1000000.0,5000000.0,1000000.0,10000000.0,1000000.0,1000000.0,5000000.0,10000000.0,500000.0,5000000.0,10000000.0,1000000.0,1000000.0,10000000.0,5000000.0,1000000.0,10000000.0,50000000.0,1000000.0,500000.0,500000.0,1000000.0,5000000.0,1000000.0,1000000.0,100000.0,1000000.0,1000000.0,10000000.0,1000000.0,1000000.0,10000000.0,500000.0,10000000.0,1000000.0,1000000.0,100000.0,100000.0,10000000.0,500000.0,1000000.0,1000000.0,1000000.0,100000.0,1000000.0,1000000.0,10000000.0,100000.0,500000.0,10000.0,100000.0,5000000.0,500000.0,500000.0,10000.0,1000000.0,10000000.0,100000.0,50000.0,5000.0,100000.0,1000000.0,100000.0,50000.0,1000000.0,100000.0,1000000.0,5000000.0,500000.0,500000.0,1000000.0,500000.0,1000000.0,100000.0,1000000.0,100000.0,100000000.0,1000000000.0,500000000.0,10000000.0,10000000.0,50000000.0,100000000.0,100000000.0,500000000.0,500000000.0,100000000.0,5000000.0,100000000.0,100000000.0,100000000.0,100000000.0,1000000.0,100000000.0,50000000.0,5000000.0,100000000.0,1000000.0,100000000.0,50000000.0,50000000.0,10000000.0,50000000.0,100000000.0,100000000.0,10000000.0,10000000.0,10000000.0,100000000.0,5000000.0,10000000.0,50000000.0,100000000.0,50000000.0,10000000.0,10000000.0,10000000.0,100000000.0,100000000.0,10000000.0,100000000.0,100000000.0,100000000.0,100000000.0,10000000.0,100000000.0,50000000.0,10000000.0,10000000.0,100000000.0,50000000.0,500000000.0,5000000.0,10000000.0,100000000.0,100000000.0,10000000.0,100000000.0,10000000.0,100000000.0,100000000.0,10000000.0,50000000.0,1000000.0,50000000.0,100000000.0,100000000.0,100000000.0,10000000.0,50000000.0,10000000.0,1000000.0,10000000.0,5000000.0,5000000.0,100000000.0,1000000.0,1000000.0,10000000.0,10000000.0,500000.0,1000000.0,100000000.0,5000000.0,5000000.0,10000000.0,50000000.0,50000000.0,10000000.0,10000000.0,10000000.0,50000000.0,10000000.0,5000000.0,10000000.0,1000000.0,1000000.0,10000000.0,10000000.0,5000000.0,10000000.0,10000000.0,1000000.0,5000000.0,5000000.0,5000000.0,10000000.0,5000000.0,5000000.0,1000000.0,5000000.0,10000000.0,1000000.0,1000000.0,5000000.0,1000000.0,10000000.0,10000000.0,10000000.0,1000000.0,1000000.0,5000000.0,10000000.0,5000000.0,10000000.0,100000.0,1000000.0,1000000.0,100000.0,100000000.0,10000000.0,10000000.0,10000000.0,50000000.0,5000000.0,10000000.0,10000000.0,10000000.0,10000000.0,500000.0,1000000.0,5000000.0,50000000.0,5000000.0,10000000.0,500000.0,50000000.0,5000000.0,1000000.0,100000000.0,1000000.0,10000000.0,5000000.0,50000000.0,100000000.0,50000000.0,50000000.0,50000000.0,10000000.0,100000000.0,10000000.0,10000000.0,50000000.0,10000000.0,50000000.0,50000000.0,10000000.0,10000000.0,10000000.0,10000000.0,100000.0,10000000.0,10000000.0,100000000.0,1000000.0,1000000.0,5000000.0,10000000.0,10000000.0,10000000.0,10000000.0,100000000.0,5000000.0,5000000.0,10000000.0,100000.0,50000000.0,5000000.0,50000000.0,10000000.0,10000000.0,5000000.0,10000000.0,10000000.0,10000000.0,10000000.0,5000000.0,10000000.0,1000000.0,10000000.0,10000000.0,10000000.0,5000000.0,10000000.0,100000000.0,50000000.0,10000000.0,1000000.0,5000000.0,5000000.0,1000000.0,1000000.0,5000000.0,1000000.0,1000000.0,500000.0,500000.0,5000000.0,1000000.0,10000000.0,500000.0,1000000.0,50000000.0,10000000.0,1000000.0,10000000.0,1000000.0,5000000.0,500000.0,1000000.0,1000000.0,10000000.0,10000000.0,10000000.0,10000000.0,1000000.0,1000000.0,10000000.0,100000.0,5000000.0,100000.0,10000.0,5000000.0,100000.0,1000000.0,5000000.0,1000000.0,1000000.0,1000000.0,1000000.0,5000000.0,500000.0,500000.0,1000000.0,1000000.0,50000.0,1000000.0,1000000.0,10000000.0,100000.0,100000.0,500000.0,500000.0,1000000.0,100000.0,1000000.0,5000000.0,500000.0,10000000.0,1000000.0,1000000.0,100000.0,50000.0,50000000.0,500000.0,10000000.0,500000.0,1000000.0,10000000.0,1000000.0,5000000.0,1000000.0,1000000.0,10000000.0,10000000.0,50000000.0,10000000.0,5000000.0,100000.0,10000000.0,10000000.0,1000000.0,1000000.0,10000000.0,1000000.0,10000000.0,10000000.0,5000000.0,1000000.0,50000000.0,1000000.0,10000000.0,500000.0,500000.0,500000.0,100000.0,100000.0,1000000.0,10000.0,10000000.0,500000.0,10000000.0,5000000.0,1000000.0,1000000.0,1000000.0,100000.0,100000.0,50000.0,500000.0,100000.0,5000000.0,1000.0,100000.0,50000.0,10000000.0,1000000.0,1000000.0,1000000.0,100000.0,100000.0,5000000.0,100000.0,10000000.0,5000000.0,5000000.0,10000000.0,5000000.0,5000000.0,10000000.0,1000000.0,10000000.0,5000000.0,1000000.0,5000000.0,1000000.0,1000000.0,1000000.0,1000000.0,5000000.0,5000000.0,10000000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,500000.0,50000.0,5000000.0,1000000.0,1000000.0,100000.0,500000.0,10000.0,1000000.0,500000.0,500000.0,5000000.0,50000.0,500000.0,1000000.0,500000.0,100000.0,100000.0,100000.0,100000.0,500000.0,100000.0,1000000.0,1000000.0,50000.0,1000000.0,100000.0,100000.0,100000.0,100000.0,1000000.0,50000.0,100000.0,100000.0,1000.0,500000.0,10000.0,1000000.0,1000.0,100000.0,500000.0,100000.0,50000.0,500000.0,10000.0,1000000.0,100000.0,5000.0,100000.0,100000.0,100000.0,5000.0,100000.0,100000.0,100000.0,50000.0,5000.0,10000.0,10000.0,50000.0,10000.0,100000.0,100000.0,50000.0,10000.0,50000.0,10000.0,10000.0,50000.0,100000.0,5000.0,1000.0,100000.0,100000.0,100000.0,5000.0,10000.0,1000.0,5000.0,10000.0,5000.0,1000.0,10000.0,10000.0,5000.0,50000.0,1000.0,100000.0,500.0,100.0,500.0,1000.0,50.0,100.0,100.0,10.0,10.0,100.0,100.0,10.0,100.0,50.0,10.0,100.0,1000.0,10.0,100.0,10.0,500.0,50.0,100.0,10.0,5.0,10.0,50.0,10.0,1.0,50.0,100.0,10.0,10.0,5.0,10.0,10.0,1.0,100.0,5000.0,5.0,10.0,10.0,10.0,5.0,50.0,1.0,10.0,50.0,5.0,100.0,100.0,10.0,5.0,100.0,10.0,100.0,10.0,5.0,5.0,10.0,100000.0,10000.0,1000.0,10000.0,1000.0,100000.0,10000.0,500.0,10000.0,50000.0,1000.0,100000.0,5000.0,1000000.0,10000.0,5000.0,10000.0,10000.0,10000.0,100.0,5000.0,10000.0,10000.0,50000.0,1000.0,1000.0,1000.0,50000.0,50000.0,100.0,1000.0,50000.0,10000.0,1000.0,10000.0,500.0,100000.0,5000.0,1000000000.0,1000000000.0,500000000.0,10000000.0,100000000.0,1000000.0,500000000.0,100000.0,100000000.0,10000000.0,1000000000.0,1000000.0,1000000.0,1000000.0,5000000.0,100000.0,1000000.0,5000000.0,5000000.0,1000000.0,5000000.0,10000000.0,5000000.0,1000000.0,500000.0,5000000.0,50000.0,10000000.0,1000000.0,5000000.0,1000000.0,1000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,1000000.0,100000000.0,1000000.0,10000000.0,5000000.0,5000000.0,100000000.0,10000000.0,10000000.0,10000000.0,100000000.0,50000000.0,10000000.0,50000000.0,10000000.0,5000000.0,10000000.0,5000000.0,500000.0,100000.0,1000000.0,500000.0,10000000.0,500000.0,5000000.0,50000000.0,1000000.0,10000000.0,5000000.0,1000000.0,10000000.0,1000000.0,50000000.0,10000000.0,10000000.0,100000.0,50000000.0,10000000.0,10000000.0,100000.0,10000000.0,10000000.0,10000000.0,100000000.0,10000000.0,10000000.0,10000000.0,5000000.0,100000000.0,10000000.0,100000000.0,50000000.0,100000000.0,50000000.0,50000000.0,1000000.0,10000000.0,5000000.0,5000000.0,1000000.0,1000000.0,10000000.0,50000000.0,10000000.0,10000000.0,1000000.0,5000000.0,10000000.0,1000000.0,10000000.0,1000000.0,10000000.0,50000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,50000000.0,10000000.0,10000000.0,10000000.0,10000000.0,100000000.0,5000000.0,1000000.0,5000000.0,1000000.0,1000000.0,1000000.0,1000000.0,10000000.0,500000.0,500000.0,1000000.0,10000000.0,10000000.0,1000000.0,10000000.0,10000000.0,50000000.0,5000000.0,10000000.0,1000000.0,10000000.0,10000000.0,50000.0,1000000.0,5000000.0,1000000.0,1000000.0,1000000.0,100000.0,500000.0,500000.0,500000.0,5000000.0,100000.0,1000000.0,5000000.0,5000000.0,1000000.0,1000000.0,1000000.0,5000000.0,500000.0,10000000.0,10000000.0,1000000.0,1000000.0,10000000.0,10000000.0,1000000.0,500000.0,1000000.0,10000000.0,100000.0,1000000.0,100000.0,5000000.0,1000000.0,500000.0,1000000.0,5000000.0,1000000.0,500000.0,50000.0,1000000.0,1000000.0,1000000000.0,50000000.0,5000000.0,10000000.0,10000000.0,10000000.0,50000000.0,1000000.0,100000000.0,1000000.0,100000.0,5000000.0,1000000.0,5000000.0,1000000.0,1000000.0,5000000.0,50000000.0,500000.0,10000000.0,10000000.0,50000000.0,500000.0,1000000.0,1000000.0,100000000.0,1000000.0,100000000.0,50000000.0,10000000.0,1000000.0,1000000.0,5000000.0,10000000.0,1000000.0,1000000.0,5000000.0,10000000.0,10000000.0,100000000.0,10000000.0,100000000.0,10000000.0,1000000.0,5000000.0,5000000.0,10000000.0,10000000.0,10000000.0,50000000.0,10000000.0,5000000.0,100000000.0,10000000.0,1000000.0,100000000.0,50000000.0,1000000.0,100000000.0,1000000.0,1000000.0,1000000.0,1000000.0,5000000.0,100000000.0,10000000.0,1000000.0,10000000.0,5000000.0,5000000.0,10000000.0,10000000.0,10000000.0,5000000.0,1000000.0,10000000.0,10000000.0,100000000.0,10000000.0,1000000.0,50000000.0,5000000.0,10000000.0,10000000.0,100000000.0,50000000.0,50000000.0,50000000.0,10000000.0,5000000.0,10000000.0,1000000.0,10000000.0,1000000.0,10000000.0,50000000.0,50000000.0,50000000.0,50000000.0,10000000.0,100000000.0,100000000.0,10000000.0,100000000.0,100000000.0,5000000.0,10000000.0,50000000.0,10000000.0,1000000.0,10000000.0,5000000.0,10000000.0,10000000.0,10000000.0,100000.0,10000000.0,5000000.0,50000000.0,10000000.0,10000000.0,500000.0,10000000.0,1000000.0,5000000.0,5000000.0,5000000.0,10000000.0,1000000.0,10000000.0,5000000.0,5000000.0,5000000.0,5000000.0,5000000.0,1000000.0,1000000.0,10000000.0,5000000.0,10000000.0,10000000.0,5000000.0,100000.0,1000000.0,1000000.0,1000000.0,5000000.0,100000.0,500000.0,500000.0,500000.0,1000000.0,10000000.0,100000.0,5000000.0,100000.0,100000.0,500000.0,10000000.0,100000.0,1000000.0,500000.0,100000.0,10000000.0,1000000.0,5000000.0,100000.0,1000000.0,1000000.0,100000.0,1000000.0,100000.0,1000000.0,1000000.0,100000.0,50000.0,500000.0,100000.0,1000000.0,100000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,1000000.0,10000.0,50000.0,100000.0,1000000.0,100000.0,1000000.0,10000.0,500000.0,5000000.0,100000.0,5000000.0,500000.0,500000.0,500000.0,10000.0,10000000.0,50000000.0,100000.0,10000000.0,5000000.0,1000000.0,5000000.0,10000000.0,10000000.0,50000000.0,5000000.0,1000000.0,500000.0,1000000.0,10000000.0,10000000.0,500000.0,10000000.0,100000000.0,1000000.0,5000000.0,100000000.0,10000000.0,1000000000.0,5000000.0,5000000.0,100000000.0,10000000.0,5000000.0,10000000.0,50000000.0,10000000.0,1000000000.0,10000000.0,10000000.0,1000000.0,1000000.0,1000000.0,5000000.0,500000.0,100000.0,5000000.0,5000000.0,1000000.0,1000000.0,10000000.0,10000000.0,10000000.0,10000000.0,5000000.0,5000000.0,10000000.0,1000000.0,50000000.0,5000000.0,1000000.0,5000000.0,1000000.0,1000000.0,5000000.0,1000000.0,5000000.0,10000000.0,10000000.0,10000000.0,1000000.0,100000.0,1000.0,100000.0,5000000.0,10000000.0,1000000.0,1000000.0,1000000.0,100000.0,1000000.0,5000000.0,1000000.0,1000000.0,1000000.0,1000000.0,5000000.0,1000000.0,1000000.0,1000000.0,10000000.0,5000000.0,1000000.0,1000000.0,1000000.0,1000000.0,100000.0,5000000.0,1000000.0,1000000.0,5000000.0,5000000.0,10000000.0,1000000.0,100000.0,1000000.0,10000000.0,1000000.0,5000000.0,1000000.0,1000000.0,500000.0,500000.0,1000000.0,10000000.0,1000000000.0,500000000.0,10000000.0,50000000.0,50000000.0,100000000.0,1000000.0,10000000.0,100000000.0,100000000.0,10000000.0,50000000.0,50000000.0,10000000.0,10000000.0,5000000.0,10000000.0,1000000.0,10000000.0,100000.0,500000000.0,10000000.0,10000000.0,1000000.0,5000000.0,10000000.0,100000000.0,10000000.0,10000000.0,10000000.0,500000000.0,100000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,100000000.0,10000000.0,1000000.0,500000.0,10000000.0,10000000.0,50000.0,100000.0,100000.0,10000000.0,10000000.0,1000000.0,5000000.0,1000000.0,10000000.0,50000000.0,10000000.0,100000000.0,10000000.0,50000000.0,10000000.0,5000000.0,50000000.0,10000000.0,5000000.0,5000000.0,50000000.0,5000000.0,10000000.0,5000000.0,5000000.0,1000000.0,1000000.0,1000000.0,1000000.0,10000000.0,10000000.0,1000000.0,5000000.0,1000000.0,100000.0,1000000.0,100000.0,50000000.0,5000000.0,1000000.0,1000000.0,50000000.0,10000000.0,1000000.0,1000000.0,5000000.0,5000000.0,10000000.0,10000000.0,50000000.0,100000000.0,10000000.0,10000000.0,1000000.0,100000000.0,10000000.0,1000000.0,1000000.0,10000000.0,5000000.0,1000000.0,1000000.0,10000000.0,10000000.0,100000000.0,10000000.0,1000000.0,1000000.0,10000000.0,100000000.0,10000000.0,10000000.0,1000000.0,50000000.0,1000000.0,100000000.0,5000000.0,100000.0,5000000.0,5000000.0,1000000.0,100000000.0,500000.0,1000000.0,1000000.0,1000000.0,50000000.0,1000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,100000000.0,10000000.0,10000000.0,500000.0,10000000.0,10000000.0,1000000.0,1000000.0,50000000.0,1000000.0,10000000.0,100000000.0,500000.0,1000000.0,1000000.0,10000000.0,5000000.0,5000000.0,500000.0,500000.0,5000000.0,100000.0,500000.0,100000.0,10000000.0,50000000.0,5000000.0,1000000.0,1000000.0,1000000.0,5000000.0,10000000.0,5000000.0,10000000.0,5000000.0,10000000.0,5000000.0,1000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,5000000.0,100000000.0,1000000.0,5000000.0,50000000.0,1000000.0,1000000.0,1000000.0,1000000.0,5000000.0,1000000.0,10000000.0,1000000.0,10000000.0,10000000.0,10000000.0,10000000.0,100000000.0,1000000.0,10000000.0,1000000.0,500000000.0,10000000.0,100000000.0,10000000.0,1000000000.0,10000000.0,10000000.0,100000000.0,10000000.0,100000000.0,5000000.0,1000000.0,10000000.0,100000000.0,50000000.0,100000000.0,10000000.0,100000000.0,5000000.0,100000000.0,10000000.0,10000000.0,1000000.0,500000000.0,10000000.0,10000000.0,500000000.0,100000000.0,10000000.0,5000000.0,5000000.0,5000000.0,100000000.0,10000000.0,50000000.0,10000000.0,100000000.0,5000000.0,50000000.0,100000000.0,50000000.0,50000000.0,50000000.0,100000000.0,1000000.0,50000000.0,1000000.0,500000.0,1000000.0,1000000.0,10000000.0,1000000.0,10000000.0,1000000.0,10000000.0,1000000.0,1000000.0,10000000.0,5000000.0,10000000.0,1000000.0,10000000.0,1000000.0,50000000.0,100000.0,5000000.0,10000000.0,1000000.0,1000000.0,100000000.0,10000000.0,100000000.0,100000000.0,100000000.0,5000000.0,1000000.0,5000000.0,1000000.0,10000000.0,1000000.0,5000000.0,10000000.0,1000000.0,500000.0,1000000.0,1000000.0,1000000.0,1000000.0,5000000.0,5000000.0,1000000.0,10000000.0,5000000.0,10000000.0,5000000.0,100000.0,1000000.0,1000000.0,1000000.0,5000000.0,500000000.0,10000.0,5000000.0,10000.0,1000000.0,10000.0,10000.0,100000.0,10000.0,5000.0,1000000.0,50000.0,50000.0,100000.0,1000000.0,100000.0,10000.0,1000000.0,1000000.0,10000.0,50000.0,10000.0,50000.0,1000000.0,500000.0,100000.0,100000.0,100000.0,100000.0,10000.0,100000.0,1000000.0,5000.0,500000.0,100000.0,10000.0,500000.0,10000.0,100000.0,1000000.0,100000.0,100000.0,10000.0,100000.0,1000000.0,1000000.0,100000.0,100000.0,1000000.0,100000.0,10000.0,1000000.0,50000000.0,1000000.0,50000000.0,10000.0,10000000.0,1000000.0,10000000.0,1000000.0,1000000.0,1000000.0,10000000.0,5000000.0,500000.0,10000000.0,1000000.0,5000000.0,5000000.0,1000000.0,10000000.0,5000000.0,1000000.0,5000000.0,1000000.0,50000000.0,1000000.0,100000.0,10000000.0,1000000.0,10000000.0,500000.0,1000000.0,10000000.0,1000000.0,500000.0,500000.0,5000000.0,100000.0,1000000.0,1000000000.0,1000000.0,10000000.0,1000000.0,1000000.0,100000000.0,10000000.0,100000000.0,100000.0,500000.0,100000000.0,10000000.0,50000000.0,1000000.0,1000000.0,10000000.0,1000000.0,5000000.0,1000000.0,10000000.0,10000000.0,50000000.0,1000000000.0,10000000.0,1000000.0,50000000.0,50000000.0,1000000.0,50000000.0,5000000.0,1000000.0,5000000.0,1000000.0,1000000.0,1000000.0,10000000.0,10000000.0,10000000.0,500000000.0,1000000.0,500.0,1000000.0,1000000.0,1000000.0,10000.0,100000.0,10000000.0,1000000.0,10000000.0,10000000.0,1000000.0,1000000.0,10000000.0,1000000.0,1000000.0,5000000.0,1000000.0,10000000.0,5000000.0,10000000.0,1000000.0,10000000.0,50000000.0,1000000.0,500000.0,1000000.0,10000000.0,10000000.0,100000.0,1000000000.0,10000000.0,10000000.0,500000000.0,10000000.0,500000.0,500000.0,1000000.0,1000000.0,1000000.0,1000000.0,5000000.0,5000000.0,50000.0,1000000.0,1000000.0,1000000.0,1000000.0,5000000.0,500000000.0,1000000.0,1000000.0,5000000.0,1000000.0,1000000.0,500000.0,1000000.0,10000.0,1000000.0,5000000.0,1000000.0,100000.0,1000000.0,100000.0,5000000.0,1000000.0,1000000.0,1000000.0,5000000.0,10000000.0,100000.0,1000000.0,1000000.0,1000000.0,1000000.0,10000000.0,100000.0,1000000.0,5000000.0,500000.0,1000000.0,1000000.0,10000000.0,10000000.0,10000000.0,10000000.0,1000000.0,1000000.0,1000000.0,1000000.0,10000000.0,5000000.0,1000000.0,100000000.0,5000000.0,10000000.0,10000000.0,5000000.0,5000000.0,1000000.0,100000000.0,50000000.0,500000.0,10000000.0,1000000.0,1000000.0,1000000.0,10000000.0,1000000.0,100000.0,5000000.0,5000000.0,5000000.0,5000000.0,1000000.0,1000000.0,1000000.0,1000000.0,100000.0,100000.0,1000000.0,1000000.0,5000000.0,1000000.0,1000000.0,5000000.0,1000000.0,1000000.0,5000000.0,1000000.0,5000000.0,1000000.0,1000000.0,10000000.0,100000.0,5000000.0,1000000.0,1000000.0,10000000.0,50000.0,1000000.0,1000000.0,5000000.0,50000000.0,1000000.0,1000000.0,500000.0,10000000.0,50000000.0,5000000.0,1000000.0,10000.0,10000000.0,50000000.0,500000.0,10000.0,10000.0,500000.0,50000000.0,500000.0,100000000.0,1000000.0,500000.0,10000000.0,50000000.0,50000.0,10000000.0,100000000.0,100000000.0,10000000.0,100000000.0,500000.0,500000.0,10000000.0,50000000.0,10000000.0,10000000.0,1000000.0,5000000.0,5000000.0,500000.0,10000000.0,500000.0,5000000.0,500000.0,1000000.0,1000000.0,100000000.0,5000000.0,1000000.0,100000000.0,1000000.0,1000000.0,10000000.0,50000.0,100000000.0,10000.0,10000.0,10000000.0,50000000.0,10000.0,500000.0,1000000.0,50000000.0,50000.0,50000.0,50000000.0,100000000.0,1000.0,5000.0,50000000.0,100000.0,50000.0,1000.0,500.0,50000.0,100000.0,10000000.0,1000000.0,50000.0,10000000.0,50000.0,1000.0,100000.0,500000000.0,10000.0,1000000.0,10000.0,100000.0,1000.0,5000.0,50000.0,5000.0,10000.0,100000.0,5000.0,10000.0,100000.0,100000.0,50000.0,1000.0,100000.0,5000.0,5000.0,50000.0,5000.0,10000.0,10000.0,5000.0,100000000.0,10000000.0,10000000.0,100000000.0,50000000.0,50000000.0,100000000.0,100000000.0,100000.0,50000000.0,50000000.0,10000000.0,100000000.0,1000000.0,100000000.0,500000.0,100000000.0,50000000.0,100000000.0,1000000.0,10000000.0,10000000.0,5000000.0,100000.0,1000000.0,10000000.0,5000000.0,10000000.0,500000.0,500000.0,10000000.0,100000000.0,100000.0,500000.0,500000.0,1000000.0,100000.0,5000000.0,500000.0,10000000.0,1000000.0,50000000.0,500000.0,1000000.0,100000000.0,100000.0,5000.0,50000.0,100000.0,50000.0,50000.0,500000.0,1000.0,50000.0,500000.0,5000.0,50000000.0,100000.0,5000.0,500.0,500000.0,10000.0,50000.0,500000.0,5000.0,10000.0,50000000.0,5000000.0,100000000.0,100000.0,1000000.0,100000.0,10000.0,50000000.0,100000.0,500000.0,100000.0,10000.0,50000.0,50000.0,50000.0,50000.0,1000.0,10000.0,5000000.0,100000.0,10000000.0,100000.0,100000000.0,5000.0,1000000.0,1000.0,500000.0,10000.0,5000.0,1000000.0,5000.0,1000.0,10000.0,10000.0,10000000.0,50000.0,1000000.0,100.0,1000.0,10000.0,50000.0,50000.0,10000.0,1000000.0,100000000.0,10000000.0,500000.0,5000000.0,500000.0,1000000.0,1000000.0,1000000.0,100000000.0,500000.0,10000000.0,10000000.0,1000000.0,5000000.0,5000000.0,5000000.0,10000000.0,1000000.0,1000000.0,100000000.0,10000000.0,100000.0,10000.0,10000.0,10000000.0,50000000.0,1000.0,10000.0,100000.0,10000000.0,1000.0,50000.0,1000.0,10000000.0,1000.0,500.0,1000.0,10000.0,1000.0,100.0,1000.0,10000.0,10000.0,10000.0,500.0,100000000.0,50000.0,500000.0,100000.0,50000000.0,10000000.0,100000.0,1000.0,100000.0,100000.0,100000.0,100000.0,5000.0,1000000.0,500000.0,100000.0,1000.0,1000.0,1000.0,100000.0,10000.0,5000.0,100.0,5000.0,1000.0,10000.0,5000.0,1000000.0,100000.0,10000.0,10000.0,10000.0,10000.0,50000000.0,5000000.0,50000000.0,500000.0,100000000.0,1000000.0,50000.0,50000.0,100000.0,10000000.0,1000000.0,500000.0,1000000.0,100000000.0,10000000.0,100000.0,100000.0,50000.0,10000000.0,10000000.0,100000.0,50000000.0,10000000.0,1000000.0,10000.0,1000000.0,1000000.0,50000000.0,100000.0,10000.0,100000.0,10000.0,100000.0,5000.0,50000.0,5000.0,100000.0,10000000.0,100000.0,10000.0,10000.0,10000.0,10000.0,10000.0,10000000.0,10000.0,1000000.0,5000000.0,1000000.0,1000000.0,500000.0,1000000.0,10000.0,10000000.0,10000.0,50000.0,1000000.0,100000.0,100000.0,10000.0,1000000.0,5000000.0,5000000.0,1000000.0,1000000.0,500000.0,50000.0,1000000.0,50000.0,100000.0,100000.0,10000.0,50000.0,10000.0,1000000.0,100000.0,1000000.0,10000000.0,50000.0,100000.0,50000.0,50000.0,1000000.0,500000.0,1000000.0,100000.0,100000.0,500000.0,10000000.0,100000.0,50000.0,10000000.0,10000000.0,1000.0,100000.0,1000000.0,5000.0,10000000.0,10000.0,50000.0,500.0,5000.0,10000.0,100000000.0,1000.0,100000.0,1000.0,10000.0,100000.0,10000.0,500.0,1000.0,10000.0,1000.0,10000.0,10000.0,100000.0,500000.0,1000000.0,500000.0,500000.0,10000.0,50000.0,1000000.0,1000000.0,1000000.0,10000000.0,500.0,500000.0,100000.0,1000.0,5000.0,10000.0,100000.0,10000.0,500000.0,10000.0,100000.0,100000.0,50000000.0,10000000.0,1000.0,1000.0,10000.0,10000.0,5000.0,5000.0,100000.0,100000.0,10000.0,1000.0,1000.0,1000.0,500000.0,100000.0,1000000.0,5000.0,1000.0,1000.0,10000.0,10000.0,5.0,10000.0,1000.0,10.0,100000.0,1000.0,50.0,1.0,10.0,5000.0,50.0,5000.0,1000.0,5000.0,100000.0,100.0,100000.0,500.0,10.0,1000000.0,100000000.0,1000000.0,1000000.0,100000.0,10000000.0,100000000.0,10000000.0,1000000.0,100000000.0,1000000.0,50000000.0,500000.0,50000.0,50000.0,1000000.0,100000000.0,10000000.0,10000000.0,1000000.0,1000000.0,10000.0,100000.0,1000000.0,1000000.0,10000000.0,5000000.0,10000000.0,500000.0,50000000.0,10000000.0,10000.0,10000000.0,5000000.0,10000000.0,1000.0,5000000.0,100000.0,1000000.0,5000.0,50000.0,1000000.0,1000000.0,1000000.0,500000.0,5000000.0,10000000.0,10000000.0,500000.0,10000.0,100000.0,10000.0,50000.0,50000.0,50000.0,100000.0,1000.0,500000.0,10000.0,100000.0,500000.0,5000.0,10000.0,10000.0,100000.0,10000.0,100000.0,50000.0,10000000.0,10000.0,500000.0,5000.0,10000.0,100000.0,100000.0,100000.0,100000.0,100000.0,500000.0,100000.0,5000.0,10000.0,10000000.0,1000000.0,50000000.0,100000.0,5000000.0,1000000.0,100000.0,500000.0,10000000.0,10000000.0,50000000.0,1000000.0,50000000.0,100000.0,100000000.0,500000.0,5000.0,100000.0,1000000.0,100000.0,100000.0,100000000.0,1000000.0,10000.0,10000.0,1000.0,100000.0,500000.0,5000.0,5000.0,10000.0,100000.0,100000.0,5000.0,5000.0,5000.0,50000000.0,50000.0,50000000.0,10000.0,5000.0,100000.0,10000000.0,10000.0,1000000.0,10000.0,1000000.0,5000.0,5000000.0,50000.0,10000000.0,10000000.0,5000000.0,10000.0,50000000.0,5000000.0,100000.0,5000000.0,100000.0,5000000.0,100000.0,50000.0,10000000.0,1000000.0,1000000.0,100000.0,1000000.0,5000000.0,10000000.0,500000.0,10000.0,1000000.0,100000.0,1000000.0,1000000.0,500000.0,50000.0,100000.0,500000.0,1000000.0,100000.0,1000000.0,1000000.0,1000000.0,100000.0,100000.0,500000.0,100000.0,100000.0,1000000.0,500000.0,10000000.0,100000000.0,50000000.0,10000000.0,10000000.0,10000000.0,1000000.0,5000000.0,5000000.0,100000000.0,10000000.0,1000000.0,100000000.0,10000000.0,10000000.0,10000000.0,5000000.0,50000000.0,1000000.0,1000000.0,10000000.0,1000000.0,5000000.0,100000.0,10000000.0,1000000.0,1000000.0,5000000.0,50000.0,10000.0,100000.0,100000.0,500000.0,1000000.0,10000.0,1000000.0,10000.0,5000000.0,10000.0,1000000.0,500000.0,100000.0,5000.0,1000000.0,10000.0,5000000.0,500000.0,10000000.0,1000.0,1000000.0,10000000.0,5000000.0,10000000.0,10000000.0,1000000.0,100000.0,100000.0,100000.0,10000000.0,5000.0,10000000.0,1000000.0,50000000.0,1000000.0,10000.0,100000.0,500000.0,10000.0,100000.0,1000.0,100000.0,500.0,50000.0,50000000.0,10000.0,1000000.0,1000.0,100000000.0,10000.0,1000000.0,1000.0,1000.0,1000000.0,1000000.0,10000.0,1000000.0,100000.0,500000.0,100000.0,1000000.0,500000.0,100000.0,5000.0,10000.0,1000000.0,50000.0,100000.0,10000.0,10000.0,10000.0,100000.0,5000.0,50000.0,5000.0,50000.0,1000000.0,100000.0,10000.0,100000.0,100000.0,50000.0,10000.0,10000.0,10000.0,100000.0,10000000.0,1000000.0,100000.0,100000.0,50000.0,1000.0,50000.0,100000.0,10000.0,1000000.0,500000.0,10000000.0,500000.0,1000000.0,1000000.0,500000.0,10000000.0,1000000.0,50000.0,1000000.0,50000.0,1000000.0,50000.0,1000000.0,10000.0,1000000.0,10000.0,100000.0,100000.0,1000.0,100000.0,1000000.0,5000000.0,500000.0,50000.0,50000.0,100000.0,100000.0,100000.0,100000.0,100000.0,1000000.0,5000000.0,50000.0,100000.0,5000.0,10000.0,100000.0,1000000.0,500000.0,50000.0,500000.0,1000000.0,100000.0,1000000.0,1000000.0,50000.0,50000.0,500000.0,100000.0,1000000.0,1000.0,10000.0,5000000.0,1000.0,1000.0,100000.0,100000.0,10000.0,10000.0,10000.0,10000.0,10.0,10000000.0,10000.0,10000.0,1000000.0,500000.0,100.0,50000.0,10000.0,1000.0,5000000.0,1000.0,10000.0,10000000.0,10000.0,10000.0,100.0,1000.0,10000.0,10000.0,1000.0,5000000.0,10000000.0,5000.0,100.0,500.0,10000.0,5000.0,50.0,100000000.0,10000000.0,100.0,500000.0,100.0,5000000.0,1000.0,1000000.0,1000.0,1000000.0,100.0,5000000.0,1000.0,10000000.0,100.0,10000000.0,10000000.0,5000000.0,100000000.0,10000000.0,1000000.0,1000000.0,500000.0,1000000.0,10000.0,10000.0,1000.0,5000.0,500.0,10000.0,1000.0,10000.0,1000.0,1000.0,100000.0,100.0,5000.0,1000.0,100.0,10.0,100.0,1000.0,10000.0,1000.0,100.0,1000.0,100.0,50.0,100.0,1000.0,10.0,50.0,50.0,50.0,100.0,500.0,10000.0,100.0,100.0,100.0,10000.0,100.0,1000.0,5.0,500.0,10.0,50000.0,100.0,100000.0,100.0,100.0,1000.0,50.0,100.0,50.0,10000.0,50000.0,100.0,50.0,100.0,100.0,10000.0,100.0,100000.0,100.0,5000.0,100.0,50.0,100.0,100.0,100.0,100.0,500.0,50.0,100000.0,50.0,1.0,50.0,100.0,100.0,100.0,100.0,10.0,100000.0,100.0,100.0,50.0,1.0,50.0,100.0,10.0,50000.0,50.0,100.0,1000000.0,100000.0,50000.0,1000000.0,1000.0,50000.0,1000000.0,10000.0,100000.0,10000.0,50000.0,1000000.0,10000.0,1000000.0,10000.0,5000.0,100.0,1000.0,1000.0,100.0,1000.0,100000.0,100000.0,500.0,1000000.0,1000.0,100000.0,5000.0,10000.0,5000000.0,10000000.0,100.0,100000.0,100.0,100.0,5000.0,500.0,1000.0,10000.0,10000.0,50000.0,100000.0,10000.0,1000000.0,1000.0,100.0,10.0,100.0,1000000.0,10.0,500.0,10000.0,500.0,500.0,10.0,1000.0,1000.0,100.0,100.0,10.0,10.0,10000.0,100.0,100.0,100.0,50.0,5000.0,100.0,5.0,1000.0,50.0,100000.0,5.0,5.0,10.0,500000.0,10.0,100.0,500.0,100000.0,100000.0,100.0,500000.0,50000.0,1000.0,10000.0,1000.0,5000.0,100.0,10000.0,10000000.0,50000.0,10000.0,500.0,1000000.0,500.0,500.0,100.0,1000.0,100.0,10000000.0,10000.0,10.0,5000.0,10.0,500.0,1000.0,1000.0,10.0,100.0,5000.0,10000.0,5000000.0,100.0,5000000.0,1000.0,50000.0,10000000.0,50000.0,50000.0,1000.0,10000.0,10000.0,10000.0,10000000.0,50000.0,500000.0,10000000.0,10000000.0,10000000.0,1000000.0,100000.0,1000000.0,50000.0,1000000.0,100000.0,1000000.0,5000000.0,100000.0,5000000.0,500000.0,10000.0,50000.0,500000.0,1000000.0,1000000.0,1000000.0,100000.0,50000.0,10000000.0,50000.0,50000.0,100000.0,10000000.0,100000.0,10000.0,1000000.0,1000.0,10000.0,10000.0,100000.0,100000.0,100000.0,100000.0,500000.0,10000.0,1000000.0,1000000.0,100000.0,10000000.0,10000000.0,5000000.0,10000000.0,10000000.0,10000000.0,1000000.0,5000000.0,5000000.0,5000000.0,10000000.0,5000000.0,1000000.0,10000000.0,1000000.0,100000.0,1000000.0,5000.0,1000.0,1000000.0,10000.0,100.0,10000000.0,100000.0,1000000.0,1000000.0,10000000.0,100000000.0,10000000.0,10000000.0,5000000.0,1000000.0,5000000.0,5000000.0,10000000.0,5000000.0,100000.0,10000000.0,1000000.0,10000000.0,10000000.0,100000.0,10000000.0,5000000.0,1000000.0,1000000.0,10000000.0,50000000.0,10000.0,100000.0,100000.0,10000000.0,5000000.0,10000000.0,10000.0,10000000.0,1000000.0,5000.0,1000.0,100000.0,10000.0,10000.0,10000.0,10000.0,5000.0,100.0,5000.0,1000.0,5000.0,1000.0,10000.0,500000.0,100000.0,100000.0,10000.0,10000.0,5000.0,10000.0,10000.0,10000.0,5000.0,1000.0,50000.0,1000000.0,1000.0,5000.0,5000.0,1000.0,1000.0,1000000.0,100000.0,50000.0,500000.0,100000.0,10.0,100.0,10.0,500.0,500.0,10000.0,1000.0,50.0,1000.0,10.0,10.0,5.0,10.0,5000.0,10000.0,1000000.0,10000000.0,50000000.0,10000000.0,5000000.0,1000000.0,10000000.0,5000000.0,10000000.0,1000000.0,5000000.0,5000000.0,10000.0,100000.0,1000000.0,1000000.0,50000.0,10000000.0,1000000.0,5000000.0,100000.0,1000.0,10000000.0,100000.0,50000.0,5000000.0,100000.0,100000.0,50000000.0,10000.0,100000.0,10000.0,10000.0,10000.0,1000000.0,5000.0,10000.0,5000.0,10000.0,1000000.0,1000000.0,5000.0,10000.0,50000.0,1000.0,100000.0,1000.0,5000.0,1000000.0,10000.0,50000.0,10000.0,1000000.0,5000000.0,50.0,100000.0,100000.0,100000.0,10000.0,10000000.0,10000000.0,100000.0,50000.0,500000.0,1000.0,5000000.0,10000000.0,10000000.0,5000000.0,5000000.0,10000000.0,500000000.0,5000000.0,10000000.0,5000000.0,5000000.0,5000000.0,1000000.0,50000000.0,5000000.0,1000000.0,50000000.0,5000000.0,500000.0,1000000.0,1000000.0,10000000.0,10000000.0,1000000.0,5000000.0,5000000.0,1000000.0,5000000.0,1000000.0,100000.0,5000000.0,1000000.0,1000000.0,1000000.0,100000.0,10000000.0,100000.0,1000000.0,500000.0,100000.0,5000000.0,100000.0,100000.0,500000.0,10000.0,100000.0,50000.0,1000000.0,100000000.0,1000000.0,1000000.0,10000.0,1000.0,1000000.0,100000.0,50000.0,100000.0,10000.0,1000.0,100000.0,100000.0,100000.0,1000.0,10000.0,100.0,100000.0,10000.0,1000.0,50000.0,10000.0,1000.0,100.0,1000.0,1000000.0,500000.0,1000.0,10000.0,5000.0,5000.0,100000.0,1000.0,10000.0,10000.0,100.0,1000000.0,1000.0,1000000.0,10000.0,50000.0,10000.0,100000000.0,100000.0,100000.0,10000.0,5000.0,1000.0,10000000.0,1000.0,10000.0,100000.0,5000.0,100000.0,1000000.0,50000.0,1000.0,1000.0,10000000.0,50000.0,50000.0,10000.0,1000.0,50000000.0,10000000.0,50000.0,10000.0,10000.0,5000.0,1000.0,10000.0,1000000.0,5000.0,50.0,10000000.0,1000000.0,100.0,100000.0,100000.0,1000.0,1000000.0,5000.0,100000.0,100000.0,500.0,100000.0,50000.0,500.0,1000000.0,1000.0,100000.0,50000.0,10.0,100000.0,5.0,100.0,500.0,100.0,5000.0,50000.0,1000000.0,5000000.0,1000.0,1000.0,100000.0,5000.0,10000000.0,10000000.0,100000.0,1000000.0,10.0,100000.0,1000.0,100.0,1000000.0,100000.0,10000.0,100000.0,500000.0,10000.0,1000000.0,10000.0,10000.0,100000.0,100.0,5000.0,100000.0,50000.0,100.0,1000.0,1000.0,50.0,500.0,5000.0,10.0,5000.0,5.0,10000.0,1000000.0,10.0,50000.0,50000.0,50.0,10000.0,100.0,100.0,1000.0,100000.0,10000.0,1000.0,1000.0,50.0,500000.0,500.0,1000.0,1000.0,100.0,500000.0,50.0,100.0,5000.0,5000.0,100.0,5000.0,100.0,500.0,1000.0,10.0,500000.0,1.0,1000.0,100.0,10000.0,100.0,10000.0,10.0,10000.0,10.0,10000.0,100000.0,10000.0,10.0,1000.0,1000.0,10.0,5.0,1.0,10000.0,1000000.0,10000000.0,5000000.0,10000000.0,10000000.0,10000000.0,10000000.0,5000000.0,5000000.0,10000000.0,100000.0,10000.0,1000000.0,1000000.0,100000.0,500000.0,5000.0,10000.0,10000.0,10000.0,10000.0,1000.0,500.0,500.0,100000.0,10000.0,1000.0,10000.0,500.0,10000.0,50000.0,1000.0,10000.0,10000.0,1000.0,100.0,1000.0,10000.0,10000.0,1000000.0,100000.0,1000.0,5000.0,10000.0,100000.0,10000.0,10000.0,50000.0,5000.0,5000.0,500000.0,100.0,10000.0,10000.0,1.0,10000.0,100.0,1000.0,10000.0,100000.0,10000.0,10000.0,10000.0,50000.0,1000.0,100000.0,10000.0,50000.0,50000.0,50000.0,10000.0,100.0,1000.0,500.0,5000.0,1000000.0,100000.0,10000000.0,100000.0,100000000.0,10.0,100000.0,10000000.0,500000.0,1000.0,1000.0,5000.0,50000.0,100.0,500.0,100.0,500.0,1000000.0,1000.0,5000.0,10000.0,50.0,10000.0,500.0,1000.0,1000.0,1000.0,100.0,1000.0,500.0,100.0,1000.0,100.0,50.0,500.0,500.0,100.0,1000.0,100.0,5000000.0,1000000.0,10000.0,5000.0,1000000.0,500000.0,500000.0,10000.0,10000.0,5000.0,500000.0,50000.0,10.0,1000.0,5000.0,10000.0,100000.0,1000.0,10000.0,1000.0,1000.0,10000.0,500.0,500.0,100.0,1000.0,100000.0,50000.0,5000.0,50000.0,10000.0,500.0,10000.0,500000.0,100000.0,5000.0,100.0,100000.0,100000.0,5000.0,500000.0,10000.0,1000000.0,100000.0,500.0,5000.0,100.0,10.0,500.0,100.0,100000.0,100000.0,10000000.0,500000.0,100000.0,100.0,50000.0,100000.0,10000000.0,100000.0,1000.0,10000.0,5000000.0,100000.0,1000000.0,1000.0,50000000.0,50000000.0,100000.0,50000000.0,5000000.0,5000.0,5000.0,100000.0,10000000.0,10000.0,100000.0,10000000.0,10000000.0,1000000.0,5000000.0,1000000.0,10000000.0,100.0,10000000.0,10000.0,10000.0,10000.0,50000.0,1000000.0,50000.0,100000.0,5000000.0,10000000.0,10000.0,1000.0,100000.0,50000.0,5000000.0,100000.0,1000000.0,500000.0,1000.0,1000.0,1000.0,1000.0,100000.0,5000.0,1000000.0,1000.0,10000.0,50.0,10.0,50.0,50000.0,100.0,100000.0,1000000.0,100000.0,1000.0,10000.0,1000.0,500.0,1000.0,10000.0,100000.0,1000.0,100.0,1000.0,10000.0,5.0,1000.0,10000.0,10000000.0,1000.0,1000.0,500.0,1000.0,100.0,5000.0,100.0,1000.0,10.0,100.0,100.0,10.0,100.0,1000.0,10.0,1000.0,1000.0,100000.0,50000.0,100.0,500.0,500.0,1000.0,1000000.0,1000000.0,500.0,1000.0,500.0,100.0,1000.0,100.0,10.0,1000.0,100.0,1000000.0,5000000.0,1000.0,10.0,10000000.0,100000.0,100.0,5000000.0,1000.0,10000.0,10.0,500000.0,50.0,1000000.0,5000000.0,100000.0,10000.0,10.0,100000.0,100000.0,10000000.0,50000.0,50.0,100000.0,1000000.0,500000.0,1000000.0,5000000.0,10000.0,100000.0,500.0,100000.0,1000000.0,10000.0,1000.0,1000.0,10000.0,10.0,500.0,1000.0,100000.0,10.0,10.0,1000.0,10.0,100.0,500.0,1000.0,100000.0,100.0,10.0,1.0,10.0,1000.0,1000.0,10.0,5000.0,10000.0,5000.0,1000.0,50000.0,50000.0,100.0,1000.0,10000.0,500.0,5000.0,1.0,10.0,50.0,100.0,500.0,100000.0,500000.0,100000.0,10000.0,1000.0,5000.0,10000.0,100000000.0,1000.0,10000.0,100.0,10000.0,10000.0,100.0,10000.0,1000.0,1000.0,10000.0,10000000.0,5000.0,5000.0,1000000.0,1000000.0,50.0,10000000.0,10000000.0,10.0,10000000.0,50000000.0,5000000.0,5000000.0,10000000.0,1000000.0,10000000.0,100000.0,500000.0,10000.0,10000.0,50000.0,10000.0,100.0,500.0,1000.0,5000.0,50000.0,100.0,1000.0,100.0,10000.0,500000.0,10000.0,5000000.0,100.0,50000.0,10000000.0,10.0,500.0,100.0,1000000.0,500.0,100.0,100000.0,500.0,10.0,5.0,10000000.0,10.0,10000000.0,10.0,1000000.0,1000000.0,5.0,100000.0,10000.0,100000.0,100000.0,100000.0,500000.0,100000.0,100000.0,5000000.0,5000000.0,1000.0,100000.0,5000.0,5000.0,5000.0,50.0,100.0,50.0,100.0,100000.0,1000.0,10000.0,500.0,100.0,100000000.0,100000.0,1000.0,1000.0,10.0,10000.0,1000.0,10000.0,1000.0,1000.0,10000.0,5000.0,10000.0,50000.0,10000.0,10000.0,10000.0,100.0,5000.0,100.0,100.0,10000.0,1000.0,10000.0,50.0,5.0,500000.0,10000.0,10000.0,100000.0,10000.0,10000.0,100000.0,1000000.0,1000000.0,5000.0,10000.0,100000.0,100000.0,50000.0,10000.0,100000.0,100000.0,1000.0,10000.0,1000.0,100.0,10000.0,500000.0,50000.0,5000.0,10.0,10000.0,100.0,1000.0,100.0,100.0,5.0,10000.0,1000.0,1000.0,100.0,50.0,10.0,10.0,10000.0,100000.0,50000.0,1000000.0,50000.0,100000.0,100.0,100.0,10000.0,100.0,10000.0,10000.0,50000.0,100.0,100000.0,1000.0,1000.0,100.0,1000.0,10.0,10000.0,100000.0,5.0,500.0,100.0,100000.0,1000.0,500.0,1.0,500.0,10.0,500.0,10.0,100.0,1000000.0,1000000.0,1000.0,50.0,10000.0,100.0,100.0,10.0,10.0,500.0,500000.0,5000.0,100000.0,500000.0,100.0,100000.0,100000.0,10000.0,100.0,10000.0,5000.0,10000.0,1000.0,100.0,10000.0,10000.0,5000.0,1000.0,100.0,10.0,5000.0,50000.0,10000.0,5000.0,5000.0,10000.0,1000.0,5000.0,1000.0,1000.0,50.0,5000.0,50000.0,1000.0,10000.0,1000.0,10000.0,10000.0,10000.0,5000.0,1000.0,1000.0,50.0,10.0,1000000.0,10000.0,50000000.0,50000000.0,100000000.0,10000.0,500.0,100000.0,5000000.0,10000.0,1000000.0,1000000.0,1000000.0,1000.0,10000000.0,5000000.0,10000000.0,10000.0,5000000.0,5000.0,50000000.0,1000000.0,10000.0,10000.0,10000.0,1000000.0,1000.0,1000.0,100000.0,10000000.0,10000.0,10000.0,10000.0,1000.0,500.0,1000.0,100.0,50.0,100.0,1000.0,500000.0,5000.0,1000.0,1000.0,1000.0,10.0,1000.0,100000.0,50000.0,1000.0,1000.0,1000.0,10000.0,50.0,100.0,500000.0,1000000.0,1000000.0,5000.0,1000000.0,100.0,5000.0,1000.0,100.0,1000000.0,1000.0,1000.0,5000.0,50.0,1000.0,1000.0,50.0,100.0,100.0,50.0,10000.0,5000.0,50000.0,5000.0,100000.0,50.0,1000.0,500000.0,5000.0,1000000.0,100.0,10000.0,10000000.0,1000000.0,50000.0,50.0,100.0,5000000.0,100.0,50.0,100.0,5.0,10.0,1000.0,100000.0,1000000.0,100000.0,50000.0,5000.0,5000.0,100.0,10000.0,1000.0,500.0,100000.0,100.0,10000.0,100000.0,5000.0,10000.0,50.0,10.0,100000.0,100.0,1000.0,5.0,100.0,50000.0,50.0,5000.0,10000.0,1000.0,10000000.0,100000.0,10000.0,10.0,500.0,100000.0,5000000.0,1000000.0,1000000.0,10000.0,10000000.0,10000.0,10000000.0,100000.0,1000000.0,1000.0,1000000.0,500000.0,50.0,50.0,1000.0,50000.0,5000.0,100.0,100.0,100.0,10000.0,1000.0,100.0,100.0,5000.0,1000.0,50000.0,500.0,100.0,50.0,100000.0,50.0,10000.0,50000.0,10000.0,10.0,1000.0,100000.0,100000.0,10.0,1000000.0,100000.0,10000.0,10000.0,1000000.0,1000.0,5000000.0,100000.0,1000000.0,500000.0,5000.0,10000.0,10000.0,10000.0,5000.0,500000.0,50000.0,10000.0,10000000.0,1000000.0,1000.0,100000.0,500.0,500.0,5000000.0,500.0,500.0,1000000.0,1000.0,1000000.0,500000.0,1000.0,10000.0,10000.0,100000.0,500.0,10000.0,100.0,5000.0,1000000.0,50000.0,100.0,10.0,500.0,100.0,1000.0,1000.0,50000.0,100.0,5000.0,1000000.0,1000.0,10000.0,10000.0,1000.0,10.0,100.0,10.0,100.0,1000.0,10.0,10000.0,1000.0,1000000.0,500.0,10.0,1000.0,50.0,100.0,1000.0,10.0,50.0,100.0,1000.0,100.0,1000.0,100.0,50.0,500.0,1000.0,10.0,100.0,10.0,1000.0,10000.0,1000.0,100000000.0,100.0,100.0,100.0,100.0,500.0,500.0,1000000.0,500.0,1000.0,100.0,100000.0,100.0,100.0,500.0,100.0,50.0,100.0,100.0,100.0,10.0,10.0,100.0,10.0,10.0,500000.0,100.0,500.0,100000.0,10.0,50.0,50.0,10000000.0,100000.0,10000.0,5000000.0,50000.0,1.0,1000.0,5.0,1000000.0,1000000.0,50.0,100000.0,5000.0,10000.0,50000.0,100000.0,10000.0,1000.0,5000.0,500.0,100000.0,10000.0,100000.0,1000.0,5000.0,5000.0,100.0,100.0,500.0,100.0,10.0,100.0,50.0,10.0,10000.0,1000.0,10000.0,1000.0,50000.0,500.0,5000.0,10000.0,10.0,100.0,1000.0,1000000.0,100.0,10.0,50000.0,10.0,50.0,5000.0,1000000.0,10000.0,100.0,5000.0,10000.0,100.0,100.0,100.0,50.0,100.0,1000.0,1000.0,5000.0,5000.0,100.0,1000.0,1000.0,1.0,10000.0,500.0,1000.0,100000.0,100.0,5000000.0,1000000.0,500.0,10000000.0,5000000.0,1000000.0,10000.0,1000000.0,10000000.0,10000000.0,5000.0,1000000.0,10000.0,500000.0,500000.0,500000.0,1000000.0,500000.0,50000.0,1000000.0,500000.0,500000.0,10000000.0,1000000.0,100000.0,100000.0,1000000.0,1000000.0,10000000.0,1000000.0,1000000.0,100000.0,5000000.0,1000000.0,100000.0,500000.0,100000.0,100000.0,500000.0,1000000.0,1000000.0,100000.0,100000.0,500000.0,500000.0,5000000.0,50000.0,500000.0,100000.0,5000000.0,100000.0,1000000.0,100000.0,100000.0,1000000.0,100000.0,100000.0,1000000.0,1000000.0,1000000.0,10000.0,100000.0,100.0,100.0,1000.0,10000.0,1000.0,1000.0,10.0,50000.0,50.0,10.0,1000.0,10.0,100000.0,500.0,10000.0,1000.0,5000.0,500.0,1000.0,100.0,1000.0,1000.0,5000.0,50000.0,500.0,1000.0,10000.0,100.0,500000.0,100.0,1000.0,1000.0,5000.0,1000.0,50.0,500.0,10000.0,10000.0,1000.0,100000.0,5000000.0,5000.0,10000.0,1000.0,10.0,100000.0,1000000.0,100.0,500.0,1000.0,10000.0,10000.0,10.0,5000.0,1000.0,1000000.0,100000.0,5000.0,10000.0,100.0,1000000.0,10000.0,100000.0,100000.0,1000000.0,1000.0,1000.0,100000.0,10000.0,50000.0,500.0,100000.0,10.0,100.0,500.0,1000000.0,50.0,1000.0,10.0,50.0,100000.0,1000.0,1000.0,100.0,500.0,10.0,100.0,100.0,1000.0,100.0,1000.0,10.0,50.0,10000.0,100.0,10.0,10.0,100.0,50.0,5000.0,500.0,50000.0,5.0,5000000.0,10000.0,1000000.0,500000.0,10.0,500.0,50000.0,100.0,100.0,100.0,1000.0,5.0,500.0,10000.0,10.0,500.0,100.0,500.0,10.0,100.0,500.0,500.0,100.0,500.0,5000.0,10000.0,5.0,1000.0,100000.0,100.0,1000.0,500.0,5.0,5.0,50.0,1000.0,5000.0,50.0,50.0,5.0,10000.0,10000.0,10000.0,100.0,1000.0,100.0,5000.0,10000.0,1000.0,500.0,1000.0,50000.0,50000.0,1000.0,1000.0,100000.0,1000.0,500.0,100.0,100.0,100.0,5000.0,50000000.0,500.0,100.0,100.0,10000000.0,50.0,50.0,50.0,1000.0,10000000.0,10.0,1.0,100.0,5.0,5000000.0,100000.0,10000.0,100.0,100000.0,1000.0,100.0,100.0,100.0,100.0,500.0,100.0,500.0,100.0,100.0,1000.0,100.0,100.0,10.0,100.0,1000.0,10000.0,1000.0,100.0,100.0,100.0,50.0,100.0,10000000.0,100.0,100.0,100.0,50.0,100.0,100.0,10.0,100.0,100.0,500.0,100.0,100.0,500.0,50000.0,10000.0,5000000.0,10000.0,5000.0,1000.0,1000.0,10000.0,5000.0,100000.0,100.0,10000.0,1000.0,100.0,10000.0,100.0,1000.0,500.0,500.0,1000.0,1000.0,5000.0,5000.0,50000.0,100.0,100.0,500.0,100.0,100.0,10000.0,10.0,500.0,1000.0,1000.0,10000.0,10000.0,100.0,50.0,500.0,1000.0,10.0,50.0,1000.0,100000.0,1000.0,5000.0,1000.0,1000000.0,100000.0,5000.0,1000.0,1000000.0,500.0,10000.0,10000.0,5000.0,1000000.0,100.0,500000.0,100000.0,500000.0,100000.0,1000.0,50000.0,1000.0,1000.0,10000.0,500000.0,100000.0,100.0,500000.0,100.0,1.0,500.0,100.0,5000.0,5000.0,10.0,100.0,100000.0,10.0,100000.0,500.0,100.0,1000.0,50.0,100.0,100.0,50.0,1000.0,1000.0,1000.0,10.0,5000.0,10000.0,100000.0,50.0,5000000.0,10.0,500.0,10.0,1000.0,50000000.0,1000.0,5000.0,10000.0,5000000.0,100.0,1000.0,100.0,10000.0,10000.0,1000000.0,1000000.0,5000.0,100.0,1000.0,500.0,500000.0,100.0,100.0,100000.0,100000.0,500000.0,100.0,100000.0,10000000.0,50000.0,1000.0,10.0,100.0,0.0,500.0,50000.0,50000.0,1000000.0,500.0,10.0,10000000.0,100.0,1000000.0,10.0,10.0,10.0,50.0,100000.0,10000.0,5000000.0,1000000.0,1000000.0,500000.0,10000.0,50000.0,100000.0,10000000.0,500.0,10000.0,50000.0,10000.0,100.0,5000000.0,5000.0,1000.0,5000.0,500.0,50.0,5000.0,1000000.0,10.0,100.0,1000.0,100000.0,5000.0,1000.0,10.0,100.0,50000.0,10.0,10.0,5000000.0,1000.0,10000.0,10000000.0,1000000.0,10000.0,10.0,5.0,10000.0,100000.0,100000.0,100000.0,1000.0,10000.0,100.0,10.0,10.0,1000.0,5000.0,500000.0,100000.0,500000.0,1000.0,1000.0,10000.0,5000.0,50000000.0,10000.0,100.0,1000.0,10000000.0,5000000.0,1.0,1.0,100.0,500.0,10000000.0,5.0,5000.0,10.0,10.0,10000.0,10.0,100.0,100.0,50.0,100.0,500000000.0,50000000.0,1000000.0,10000000.0,5000000.0,100000.0,100000.0,500000.0,5000000.0,100000.0,100000000.0,100000.0,1000000.0,50000000.0,1000000.0,100000.0,100000.0,100000.0,10000.0,100000.0,50000.0,100000.0,100000.0,500000.0,500.0,10000.0,500000.0,10000.0,10000.0,10000.0,10000.0,100000.0,100000.0,500000.0,1000000.0,5000.0,10.0,100000.0,10000.0,1000000.0,10000000.0,100000.0,500000.0,1000000.0,10000000.0,5000000.0,1000000.0,5000000.0,1000000.0,10000000.0,5000000.0,500000.0,1000000.0,1000000.0,5000000.0,10000000.0,1000000.0,1000000.0,1000000.0,1000000.0,500000.0,100000.0,5000000.0,1000000.0,1000000.0,1000.0,100.0,1000000.0,10000.0,10000.0,1000000.0,10000.0,100000.0,1000.0,10000.0,5000.0,1000.0,5000.0,1000.0,10000.0,1000000.0,10000.0,1000.0,100000.0,10000.0,10000.0,1000.0,50000.0,50000.0,1000.0,500000.0,1000.0,500.0,10000.0,1000000.0,5000.0,1000.0,10000.0,500.0,5000000.0,10000.0,1000000.0,100.0,1000.0,1000.0,1000.0,1000000.0,100000.0,50000.0,10000.0,100000.0,500.0,10000.0,500000.0,10000.0,1000.0,1000.0,1000.0,100000.0,10.0,1000.0,5000.0,5000.0,1000000.0,10000.0,50000.0,10000.0,100000.0,1000000.0,500.0,500.0,1000000.0,10.0,1000.0,100.0,100.0,100.0,1000.0,100000.0,10000.0,100.0,100.0,1000000.0,500.0,100.0,500.0,1000000.0,500.0,100.0,10000.0,5.0,5000.0,100.0,5000000.0,10000.0,1000.0,1000000.0,1000.0,100.0,100000.0,1000.0,100000.0,500.0,500.0,10.0,10.0,500.0,5000.0,5.0,5.0,100000.0,100000.0,10.0,10000.0,1.0,100000.0,500000.0,10000.0,1000.0,10000.0,10000000.0,10000.0,100.0,10.0,100000.0,50000.0,5000000.0,5000000.0,100000.0,50.0,1000.0,100.0,50.0,100000.0,100.0,100000.0,1000.0,10000.0,1000000.0,5000000.0,10000000.0,500000.0,100000.0,100000.0,500.0,100000.0,10000.0,1000000.0,500000.0,100.0,1000000.0,5000.0,10000.0,1000000.0,500000.0,50000.0,10000.0,500000.0,5000.0,10000.0,100.0,1000.0,1000.0,5.0,5000.0,10000.0,100000.0,50000.0,5000.0,5000000.0,100.0,100.0,500.0,50000.0,5000.0,1000.0,50.0,100.0,1000000.0,100000000.0,1000000.0,1000000.0,10000000.0,5000000.0,1000.0,100000.0,10000.0,100000.0,100000.0,50000.0,10000.0,50000.0,5000.0,100000.0,500000.0,10000.0,100.0,1000.0,100000.0,10000.0,10000.0,1000000.0,500000.0,1000.0,1000000.0,100.0,10000.0,5000.0,10000.0,50000.0,1000.0,50.0,50000.0,10000.0,500000.0,5000.0,100000.0,10000.0,50000.0,10000.0,5000.0,50000.0,100.0,50000.0,50000.0,1000.0,5000.0,10000.0,1000.0,1000.0,1000.0,1000.0,500.0,1000.0,5000.0,10000.0,10000.0,100000.0,5000.0,1000.0,100.0,100.0,5000.0,50000.0,10000.0,100.0,1000.0,10000.0,1000.0,1000.0,10000.0,100.0,1000000.0,50.0,100000.0,10000.0,100.0,5000.0,1000.0,50.0,10000.0,50.0,100000.0,10000.0,10000.0,1000.0,100000.0,50000.0,10000.0,10000.0,10000.0,10000.0,10000.0,10000.0,10000.0,10000.0,50000.0,50000.0,50000.0,10000.0,10000.0,10000.0,50000.0,100000.0,50000.0,10000.0,1000.0,50000.0,10000.0,5000.0,100.0,5000000.0,1000000.0,5000000.0,10000000.0,10000000.0,10000000.0,1000000.0,10000.0,100000.0,1000000.0,1000000.0,100000.0,10000.0,500000.0,5000.0,100000.0,100000.0,10000.0,10000.0,50000.0,100000.0,100000.0,100000.0,1000.0,1000000.0,50000.0,1000000.0,100000.0,5000.0,1000000.0,10000.0,10000.0,100000.0,5000.0,10000.0,5000.0,100000.0,10000.0,10000.0,10000.0,10000.0,50000.0,1000.0,100000.0,10000.0,5000.0,50000.0,10000.0,100000.0,5000.0,5000.0,5000.0,50000.0,10000.0,100000.0,10.0,5000000.0,100000.0,50000.0,100.0,1000000.0,500.0,100.0,10.0,100.0,50.0,1000000.0,500.0,1000000.0,100.0,500000.0,100000.0,1000.0,100000.0,1000.0,500000.0,50000.0,50000.0,5000.0,500000.0,1000.0,1000000.0,5000000.0,5000000.0,5000.0,100000.0,1000.0,10000.0,10000.0,1000000.0,10000.0,10000.0,10000.0,1000.0,50000.0,500.0,1000.0,1000.0,1000.0,100000.0,500.0,5000.0,500.0,10000.0,10.0,5000.0,100.0,100.0,10000.0,500.0,50.0,500.0,10.0,100.0,50.0,50.0,100.0,500.0,1000.0,50.0,500000.0,100000.0,50.0,1000.0,5.0,50.0,0.0,1000000.0,50000.0,100.0,5000.0,5000000.0,500.0,1000.0,100.0,10000.0,100.0,1000.0,1000.0,100.0,100.0,50000.0,1000.0,5000.0,100.0,100.0,100.0,100.0,10.0,10.0,1000000.0,500.0,5.0,100.0,1000000.0,100.0,10.0,10.0,10000000.0,1000000.0,5000.0,1000000.0,5.0,100000.0,500000.0,10000.0,10000.0,10000.0,1000000.0,100000.0,10000.0,10000.0,1000.0,1000000.0,10000.0,10000.0,500000.0,100000.0,100000.0,50000.0,50000.0,50000.0,5.0,10.0,1000.0,10000.0,100000.0,10.0,1000.0,100000.0,100.0,100000.0,10.0,500.0,5000.0,500.0,100.0,10000.0,500000.0,1000000.0,1000.0,10000.0,10000000.0,5000000.0,50000000.0,5000000.0,1000000.0,5000000.0,10000000.0,1000000.0,10000000.0,1000000.0,5000000.0,10000000.0,10000000.0,50000.0,10000000.0,5000000.0,10000000.0,5000000.0,10000000.0,10000000.0,50000.0,50000.0,10000000.0,5000.0,500000.0,5000.0,1000.0,10000.0,10000.0,10000.0,100.0,500000.0,1000.0,10000.0,500.0,500.0,1000.0,10000.0,10000.0,1000.0,1000.0,10000.0,10000.0,10000.0,5000.0,5000.0,100.0,10000.0,10.0,10000.0,100.0,100000.0,5000.0,1000.0,1000.0,1000.0,100.0,1000.0,10000.0,10000000.0,5000000.0,10000000.0,500000.0,10000.0,10000000.0,1000000.0,10000.0,1000.0,5000000.0,1000.0,1000000.0,5000.0,100.0,10000000.0,500.0,5000.0,50000.0,1000.0,1000.0,10000.0,50000.0,10000000.0,50000000.0,500000.0,100.0,5000.0,100000.0,50.0,5000.0,500.0,500.0,1000.0,10000.0,5000.0,5000.0,10000000.0,10000000.0,5000000.0,10000000.0,10000000.0,5000000.0,1000000.0,10000000.0,50000000.0,1000000.0,10000000.0,1000000.0,10000000.0,5000000.0,1000000.0,50000000.0,5000000.0,50000000.0,10000000.0,10000000.0,5000000.0,10000000.0,10000000.0,100000.0,1000.0,100.0,500.0,1000.0,10000.0,100.0,50000.0,1000.0,500.0,100.0,100.0,100.0,1000.0,1000.0,10.0,100.0,100.0,500.0,500.0,10000.0,100.0,10.0,500000.0,50.0,5.0,10.0,100.0,500000.0,1000.0,5.0,1.0,10.0,5000000.0,500.0,5000000.0,100000.0,10000.0,1000.0,1000000.0,10000.0,1000.0,1000.0,10000000.0,500.0,10000.0,10000.0,1000.0,1000000.0,500.0,10000.0,1000.0,100.0,500000.0,100.0,100.0,100.0,10000.0,100.0,10.0,100.0,10.0,10000.0,100.0,10000.0,100.0,10000000.0,5000000.0,10000000.0,50000000.0,5000000.0,100000.0,1000.0,5000000.0,10000000.0,1000000.0,1000000.0,10000000.0,100000.0,10000.0,50000.0,100.0,500000.0,1000.0,1000000.0,10000.0,1000.0,5000000.0,100000.0,500000.0,10000000.0,10000.0,5000000.0,50.0,1000000.0,100000.0,10000000.0,100000.0,100000.0,1000.0,10000000.0,1000.0,100.0,10000000.0,1000000.0,1000000.0,50000000.0,10000000.0,500000.0,100000000.0,100000.0,5000000.0,10000000.0,100000000.0,1000000.0,50000000.0,10000000.0,50000000.0,10000000.0,10000000.0,10000000.0,5000000.0,10000000.0,10000000.0,1000000.0,100000.0,100000.0,100000.0,1000000.0,1000.0,1000.0,1000.0,50000.0,1000.0,5000.0,10000.0,10000.0,100000.0,1000.0,10000.0,50000.0,10000.0,100000.0,500.0,1000000.0,50000.0,100000.0,1000.0,100.0,50000.0,10000.0,100.0,10.0,10.0,10000.0,10.0,1000000.0,1000.0,10000.0,500.0,1000.0,500.0,50.0,100.0,100.0,100.0,100000.0,1.0,10.0,10000000.0,5000000.0,50000000.0,10000000.0,100000.0,1000000.0,10000000.0,1000000.0,1000000.0,1000.0,5000000.0,10000.0,5000.0,5000000.0,100000.0,10000000.0,5000000.0,10000.0,1000000.0,1000000.0,1000000.0,50000.0,10000.0,10000000.0,1000000.0,100000.0,1000000.0,1000000.0,1000000.0,10000.0,10000.0,5000.0,5000.0,100000.0,5000.0,1000.0,1000.0,1000.0,5000.0,10000.0,1000.0,10.0,1000.0,5000.0,1000.0,1000.0,100.0,10000.0,1000.0,5000.0,10.0,100.0,100.0,5000.0,500000.0,500.0,100.0,100.0,100.0,50.0,5.0,10.0,10.0,100.0,100.0,10.0,10000.0,10000.0,1000.0,100.0,50.0,50000.0,10.0,100000.0,500.0,5000.0,100000.0,10.0,10.0,50.0,500.0,100.0,100.0,100.0,5.0,10.0,10.0,50000.0,100000.0,100000.0,1000000.0,1.0,1000000.0,0.0,100000.0,500000.0,50000.0,1000000.0,50000.0,50000.0,10000.0,5000000.0,5000000.0,1000000.0,1000000.0,1000000.0,10000000.0,5000000.0,1000000.0,100000.0,5000000.0,1000000.0,1000000.0,100000.0,10000000.0,500000.0,1000000.0,100000.0,1000000.0,1000000.0,500000.0,100000.0,1000000.0,500000.0,100000.0,1000000.0,100000.0,100000.0,50000.0,1000000.0,100000.0,100000.0,1000000.0,1000000.0,100000.0,500000.0,10000.0,100000.0,500000.0,1000000.0,100000.0,5000.0,500000.0,50000.0,100000.0,100000.0,10000.0,500000.0,100000.0,5000.0,100000.0,100000.0,1000.0,1000000.0,1000.0,5000.0,1000.0,10000.0,10000.0,100000.0,100000.0,50000.0,100.0,5000.0,100000.0,10000.0,10000.0,10000.0,5000.0,5000.0,1000.0,10000.0,500000.0,5000.0,1000.0,5000.0,10000.0,50000.0,100000.0,10000.0,500000.0,100.0,1000.0,500.0,1.0,100000.0,1000000.0,1000000.0,10000.0,500000.0,100000.0,100000.0,100000.0,100000.0,10000000.0,10000.0,100000.0,1000000.0,1000000.0,1000000.0,1000.0,100.0,100000.0,50000000.0,10000000.0,100000000.0,5000000.0,100000.0,500000.0,1000000.0,1000000.0,1000000.0,1000000.0,10000000.0,500000.0,1000000.0,10000000.0,1000000.0,10000.0,500000.0,500000.0,10000000.0,1000000.0,5000000.0,100000.0,1000000.0,1000000.0,10000.0,100000.0,1000000.0,100000.0,10000.0,10000.0,10000000.0,1000000.0,1000000.0,1000.0,500000.0,1000000.0,5000.0,1000000.0,1000000.0,10000000.0,500000.0,1000000.0,500000.0,5000000.0,500000.0,1000000.0,1000000.0,100000.0,500000.0,50000.0,50000.0,100000.0,500.0,1000.0,50000.0,100.0,500.0,100000.0,50.0,1000.0,100000.0,10.0,1000.0,100.0,500.0,1000000.0,1000000.0,10000000.0,1000.0,5.0,500.0,10.0,100.0,100000.0,1000000.0,5000000.0,10000.0,100.0,1000.0,100.0,500.0,1000.0,500.0,10000.0,1000.0,5000.0,500.0,500.0,1000.0,1000000.0,10000000.0,1000.0,100.0,1000.0,10.0,10.0,1.0,0.0,10.0,500.0,100.0,50.0,1.0,1000.0,10000000.0,5000000.0,1000.0,10.0,1000.0,500.0,100.0,10000000.0,100.0,100000.0,50000.0,10000.0,500000.0,1000000.0,100000000.0,10000000.0,10000000.0,1000000.0,100000.0,1000000.0,1000000.0,5000000.0,100000.0,50000.0,500000.0,500000.0,5000000.0,1000000.0,50000.0,50000.0,100000.0,100000.0,50000.0,100000.0,50000.0,50000.0,50000.0,5000.0,5000000.0,100000.0,50000.0,10000000.0,10000000.0,10000.0,10000000.0,1000000.0,50000.0,10000.0,1000.0,5000.0,10000.0,10000.0,10000.0,1000.0,1000.0,10000.0,50.0,1000.0,50000.0,10000.0,1000000.0,100000.0,100.0,5000.0,50000.0,100.0,50000.0,10000.0,1000.0,100.0,100000.0,1000.0,1000.0,100.0,1000.0,10000.0,5000.0,500000.0,100000.0,50.0,100.0,100.0,500.0,10.0,10000.0,5000.0,1000.0,1000.0,100000.0,100000.0,100000.0,1000000.0,100000.0,10000.0,10000.0,10000.0,100000.0,1000.0,1000000.0,10000.0,50000.0,100.0,10.0,5000.0,1000.0,10000.0,1000.0,1000.0,500000.0,10000.0,1000.0,500.0,1000.0,10000.0,100.0,100.0,1000.0,10.0,5000.0,100000.0,10000.0,100.0,1000.0,1000.0,100.0,10000.0,10.0,10.0,500.0,5000.0,10000.0,100.0,500.0,10.0,500000.0,500000.0,5000.0,500000.0,5000.0,1000.0,5000.0,1000000.0,1000.0,10000.0,100000.0,1000.0,100000.0,10000.0,50000.0,500.0,1000.0,10000.0,5000.0,5000.0,10000.0,5000.0,5000.0,5000.0,10.0,100.0,500.0,500.0,100.0,5000.0,10000.0,50000.0,100.0,1000.0,10000.0,100.0,5000.0,100.0,10.0,50.0,1000.0,100.0,10.0,10000.0,50000.0,50000.0,50.0,10000.0,100000.0,10000.0,100.0,10000000.0,50.0,1000000.0,100000.0,100000.0,100000.0,10000.0,10000.0,10000.0,50000.0,100000.0,10000.0,1000.0,50000.0,100000.0,5000.0,50000.0,10000.0,100.0,1000.0,1000000.0,100000.0,10.0,100000.0,1000.0,5000.0,10000.0,100.0,100.0,1000.0,5000.0,500.0,1000.0,100000.0,500.0,10000.0,10000.0,1000.0,10000.0,10000.0,500.0,10000.0,1000.0,10000.0,5000.0,10.0,10.0,10000.0,1.0,50000000.0,50000000.0,50000000.0,10000000.0,10000000.0,10000000.0,10000000.0,10000000.0,500000.0,10000000.0,5000000.0,1000.0,5000000.0,1000000.0,1000000.0,10000000.0,5000000.0,1000000.0,5000000.0,10000000.0,10000000.0,100000000.0,1000000.0,100000.0,100000.0,1000000.0,1000000.0,1000000.0,10000000.0,100.0,10000.0,10000.0,10.0,100.0,50.0,1000.0,500000.0,1000.0,100000.0,100.0,1000000.0,5000.0,50.0,5000.0,10.0,10000000.0,100000.0,1000.0,50.0,1000.0,100000.0,5000.0,10.0,10.0,100000.0,1.0,10000.0,100000.0,1000.0,100.0,1000.0,10000.0,10.0,10.0,10000.0,5000.0,10000.0,50000.0,100000.0,100000.0,5.0,10000.0,1000000.0,1000000.0,5000.0,1000.0,100000.0,100000.0,1000.0,10000.0,10000.0,10.0,50000.0,100000.0,100.0,50.0,1000.0,100.0,1000.0,1000.0,50.0,10000.0,1000.0,100.0,10000.0,100.0,500.0,10.0,50000.0,50.0,100.0,100.0,10.0,500.0,500.0,100.0,1000.0,10000.0,100.0,1000.0,100.0,10.0,1.0,1000.0,1.0,10.0,100.0,100000.0,50000.0,10000.0,10000.0,5000.0,100000.0,50000.0,100000.0,5000.0,10000.0,50000.0,50000.0,1000.0,10000.0,1000.0,100.0,1000.0,100.0,5000.0,1000.0,500.0,10000.0,500.0,50.0,100.0,5000.0,100.0,500.0,1000.0,50.0,100.0,500.0,100.0,50.0,1.0,50000.0,1000.0,5.0,10000.0,5000.0,1000.0,100.0,1000.0,100.0,1000000.0,100.0,10000.0,50000.0,1000.0,50.0,1000.0,1000.0,100.0,100000.0,100.0,10000.0,500.0,1000.0,10.0,50.0,100.0,1000.0,10.0,100000.0,1000000.0,1000000.0,100000.0,10000.0,100.0,10000.0,1000000.0,50000000.0,1000.0,100000.0,1000000.0,500000.0,500000.0,50000.0,100000.0,1000000.0,1000000.0,1000000.0,100000.0,1000000.0,10000.0,1000000.0,100000.0,10000.0,100.0,1000.0,100.0,1000.0,100000.0,50.0,100.0,500000.0,100.0,5000.0,5000000.0,10000.0,1000000.0,1000000.0,10000000.0,50000.0,10000.0,500000.0,5000000.0,500000.0,10000000.0,1000000.0,500000.0,1000000.0,100000.0,5000000.0,10000000.0,5000000.0,5000000.0,500000.0,500000.0,10000000.0,100000.0,10000000.0,100000.0,100000.0,10000000.0,10000000.0,10000.0,1000000.0,100000.0,5000000.0,10000.0,1000000.0,100.0,100.0,10.0,10000.0,100.0,1000.0,10000.0,5.0,10.0,10.0,100.0,50.0,5000.0,10000.0,500000.0,1000000.0,5000.0,10.0,1000000.0,1000000.0,5000000.0,10.0,10000000.0,10000.0,50000.0,5000.0,1000000.0,1000.0,5000000.0,10000000.0,1000000.0,1000.0,50000.0,100.0,1000000.0,100.0,1000000.0,500.0,1000.0,1000000.0,1000.0,1000000.0,1.0,10000000.0,10.0,1000000.0,1000000.0,50.0,100.0,5.0,1000000.0,1000000.0,5000000.0,1000000.0,100.0,100000.0,1000000.0,50000.0,1000000.0,500000.0,1000000.0,10000.0,1000000.0,5000000.0,500000.0,1000000.0,10000.0,50000.0,5000.0,500000.0,10000.0,100000.0,100000.0,500000.0,1000000.0,1000000.0,50000.0,100000.0,10000.0,1000.0,10000.0,500.0,10000.0,10000.0,50000000.0,100.0,50.0,5000.0,5000.0,5000.0,500.0,1000.0,10.0,1000.0,10000.0,10.0,100.0,10.0,500.0,1000.0,500.0,100.0,1000.0,10000000.0,1000.0,50000.0,10000000.0,1000000.0,1000000.0,1000.0,1000.0,5000.0,100.0,500.0,1.0,1000000.0,1000.0,1000000.0,100.0,5000000.0,10000000.0,1000000.0,100000.0,100000.0,100000.0,100000.0,100000.0,500000.0,100000.0,50000.0,1000000.0,1000000.0,1000000.0,100000.0,10000.0,100000.0,5000000.0,100000.0,10000.0,100000.0,1000000.0,10000000.0,10000000.0,100000.0,5000000.0,100000.0,100000.0,1000000.0,5000000.0,10000000.0,10000000.0,5000000.0,500000.0,500000.0,10000000.0,500000.0,1000000.0,100000.0,500000.0,500000.0,1000000.0,5000000.0,500000.0,1000000.0,500000.0,100000.0,500000.0,100000.0,1000000.0,500000.0,50000000.0,1000000.0,10000000.0,500000.0,5000000.0,100000.0,500000.0,500000.0,100000.0,10000000.0,10000000.0,10000000.0,100000.0,10000000.0,10000000.0,5000000.0,10000000.0,1000000.0,1000000.0,10000000.0,1000000.0,10000000.0,5000000.0,10000000.0,1000000.0,500000.0,10000000.0,10000000.0,10000000.0,1000000.0,5000000.0,5000000.0,5000000.0,1000000.0,1000000.0,5000000.0,10000000.0,5000000.0,10000.0,1000.0,10.0,1000.0,100.0,10.0,100.0,10.0,50.0,100.0,10.0,10.0,10.0,10.0,10000.0,10.0,50.0,1.0,50.0,10.0,1000000.0,5000000.0,100.0,10000000.0,500000.0,100.0,1000000.0,1000000.0,1000000.0,10000000.0,1000000.0,10000000.0,1000000.0,500000.0,1000000.0,1000000.0,100.0,100.0,100.0,500.0,50000.0,100.0,10.0,100.0,100.0,1000.0,100.0,50.0,5000.0,100.0,500000.0,1000000.0,500.0,1000.0,10.0,10.0,100.0,500000.0,10000.0,100000.0,500.0,1000000.0,1000.0,10000.0,100.0,100.0,10000000.0,10000000.0,10000.0,1000000.0,100000.0,1000000.0,100000.0,100000.0,10000000.0,500.0,5000.0,1000000.0,100000.0,100000.0,50000.0,50000.0,500000.0,10000.0,500000.0,10000.0,50000.0,1000.0,10000.0,1000.0,100000.0,1000.0,10000.0,5000.0,1000.0,5000.0,500000.0,1000000.0,100000.0,500000.0,100000.0,500000.0,10.0,50000.0,5000.0,5000.0,1000.0,10000.0,500.0,100000.0,100000.0,1000.0,50000.0,1000.0,1000.0,10000000.0,5000.0,500.0,1000000.0,10000000.0,10000000.0,100000.0,100000.0,1000000.0,1000000.0,1000000.0,500000.0,100000.0,1000000.0,1000000.0,1000000.0,500000.0,1000.0,100000.0,5000.0,50000.0,1000.0,10000.0,50000.0,10000.0,500.0,5000.0,1000000.0,1000.0,100.0,100.0,10000.0,50000000.0,500000.0,100.0,10000000.0,50000.0,5000000.0,10000.0,500.0,100000.0,100000.0,5000000.0,1000000.0,10000.0,5000.0,100000.0,100000.0,100000.0,50000000.0,50000.0,100000.0,100000.0,50000.0,5000000.0,50000000.0,10000000.0,1000000.0,5000000.0,10000000.0,5000000.0,50000000.0,10000000.0,10000000.0,5000000.0,10000000.0,50000000.0,5000000.0,10000000.0,100000.0,50000.0,1000.0,1000.0,100000.0,50000.0,5000.0,1000.0,1000.0,1000.0,100.0,5000.0,10000.0,1000.0,50000.0,10000.0,10000.0,100.0,100.0,50.0,500.0,100000.0,10000.0,1000000.0,1000.0,1000.0,1000.0,500.0,500.0,1000.0,50000.0,1000.0,1000.0,100.0,100.0,1000.0,5000000.0,50.0,1000.0,500.0,50.0,10.0,1000.0,1000.0,50.0,100.0,100.0,100.0,10.0,100.0,100.0,1000.0,1000.0,10000.0,1000.0,10.0,10.0,50000.0,50.0,10.0,10.0,100.0,5.0,100.0,100.0,100.0,10.0,1000000.0,10000.0,100000.0,50000.0,100000.0,50000.0,50000.0,1000.0,10000.0,1000.0,1000.0,1000.0,5000.0,10000.0,1000.0,1000.0,10.0,100.0,1000.0,100.0,1000.0,1000.0,100.0,1000.0,5.0,5000.0,5000.0,1000.0,1000000.0,1000.0,500000.0,1000.0,500.0,100000.0,100000.0,1000000.0,1000000.0,1000.0,5000000.0,500.0,500000.0,1000000.0,1000000.0,100000.0,100000.0,100000.0,10000000.0,500.0,10.0,100000.0,100.0,5.0,50.0,100.0,100000.0,10.0,1000000.0,100.0,5.0,100.0,10.0,10000.0,10.0,10.0,100000.0,10.0,50000000.0,100000.0,10000.0,5000000.0,500.0,10000000.0,10000.0,50000.0,100000.0,100000.0,10000000.0,5000.0,100000.0,5000000.0,50000.0,10000000.0,1000000.0,5000000.0,10000000.0,1000000.0,100000.0,5000000.0,10000000.0,5000000.0,500000.0,500000.0,50000.0,5000.0,100000.0,1000000.0,1000.0,100000.0,1000000.0,1000000.0,500000.0,100000.0,100000.0,5000000.0,5000.0,50000.0,5000000.0,1000.0,100.0,5000000.0,5000.0,5000.0,50000.0,10000.0,1000.0,50.0,500.0,1000.0,100.0,1000.0,1000.0,100.0,5.0,10000.0,1000.0,5000.0,100.0,5.0,500.0,1000.0,100.0,5.0,500.0,10000.0,500.0,10000.0,10.0,10000000.0,1.0,500.0,100.0,5.0,10.0,10.0,1000.0,50.0,10000.0,100.0,1000000.0,1000000.0,10000000.0,10000.0,100000.0,100000.0,500.0,100.0,500000.0,5000000.0,1000000.0,1000000.0,500000.0,1000000.0,100000.0,10000.0,10000.0,1000.0,50000.0,100000.0,100000.0,100000.0,1000000.0,10000.0,5000.0,500000.0,1000.0,50000.0,10000.0,10000.0,10000.0,50000.0,1000000.0,1000.0,100000.0,1000000.0,5000.0,10000.0,50000.0,10000.0,10000.0,5000.0,100000.0,5000.0,1000.0,10000.0,100000.0,1000.0,50000.0,5000.0,5000.0,1000.0,1000.0,100.0,100000.0,100000.0,5.0,1000000.0,5000.0,5000.0,1000.0,500.0,1000000.0,5000000.0,1000.0,1000000.0,10000000.0,1000.0,1000.0,1000.0,10.0,10000000.0,1000000.0,10000000.0,10000000.0,10000000.0,1000000.0,50000000.0,1000000.0,500000.0,1000000.0,100000.0,1000000.0,10000.0,500000.0,1000000.0,500000.0,100000.0,50000.0,500000.0,10000000.0,10000.0,500.0,100000.0,100000.0,50000.0,500000.0,5000.0,100000.0,100000.0,5000.0,5000.0,1000000.0,100000.0,100000.0,5000.0,1000.0,10000.0,100000.0,10000.0,50.0,5000.0,100000.0,10000.0,500.0,10000.0,10000.0,1000000.0,100000.0,500000.0,10000.0,10000.0,10000.0,10000.0,1000000.0,100.0,50000.0,10000.0,10000.0,50000.0,100000.0,100000000.0,100000.0,10000.0,500.0,1000000.0,5000.0,10000.0,10000.0,5000.0,10000.0,1000.0,50000.0,500.0,100.0,10000.0,10000.0,50000.0,100000.0,1000.0,10000.0,100000.0,5000000.0,500.0,50000.0,10000.0,500.0,10000.0,100000.0,10000.0,100000.0,5000.0,10000.0,100000.0,1000.0,100000.0,100000.0,10000.0,10000.0,500.0,100000.0,1000.0,1000000.0,10.0,1000.0,1.0,1000000.0,1000.0,10000.0,5000.0,500000.0,10000.0,1000.0,10000.0,1000.0,5000.0,10000.0,100.0,100000.0,10000.0,50.0,10000.0,10000.0,50000.0,1000000.0,5000000.0,1000.0,5000.0,1000.0,50000.0,1000.0,10.0,500.0,100.0,10.0,500.0,100.0,100.0,1000.0,1000.0,1000.0,1000.0,100.0,100.0,100.0,1000.0,10000.0,1000.0,500.0,100.0,1000.0,500.0,10.0,100.0,50.0,100.0,1000.0,100.0,10000.0,100.0,5000.0,10.0,1000.0,100.0,500.0,5000.0,1000.0,1000000.0,1000.0,10.0,100.0,10.0,10.0,10000.0,50.0,1000000.0,5000000.0,5000000.0,1000.0,10000000.0,10000.0,10000000.0,10.0,50000000.0,5000000.0,10000.0,1000000.0,1000000.0,10000000.0,1000000.0,1000000.0,10000000.0,500000.0,100000.0,5000000.0,1000000.0,500000.0,500000.0,1000000.0,1000000.0,500000.0,5000000.0,10000.0,5000.0,10.0,100.0,10000.0,500.0,1000.0,500.0,1000.0,1000.0,1000.0,50000000.0,5000.0,1000.0,500.0,100.0,500.0,100.0,1000.0,100.0,1.0,1000.0,1000000.0,100.0,500.0,1000.0,5000000.0,10000.0,100.0,5000000.0,1000.0,10000.0,50000000.0,50000.0,100000.0,100.0,500.0,1000000.0,5000000.0,100000.0,1000000.0,500000.0,100.0,100000.0,1000000.0,10000.0,100000.0,1000000.0,500000.0,1000000.0,10000.0,1000000.0,1000.0,500000.0,5000.0,100000.0,50000.0,500000.0,5000.0,100000.0,100000.0,10000.0,10000.0,50000.0,500000.0,10000.0,100000.0,1000.0,50000.0,50000.0,10000.0,1000.0,50000.0,500000.0,500000.0,10000.0,100.0,1000.0,100.0,10000.0,1000.0,5000.0,1000000.0,10000.0,500.0,1000.0,5000000.0,100.0,100.0,100.0,50.0,10000.0,100.0,100.0,100.0,1000000.0,10000000.0,100000.0,10000000.0,10000000.0,500000.0,10000000.0,10.0,1000000.0,100000.0,50000000.0,1000000.0,50000.0,500.0,1000000.0,10.0,10000.0,10000000.0,1000000.0,100000.0,10.0,10.0,1000000.0,10000.0,10.0,10.0,1.0,100.0,10.0,5.0,50.0,100.0,50.0,100.0,10.0,1.0,5.0,50.0,10.0,10.0,50.0,10.0,10.0,50000000.0,10.0,10.0,10000.0,5.0,5000000.0,5.0,1000.0,10.0,100.0,5.0,10.0,10.0,5.0,10.0,100.0,10.0,50000.0,5.0,5000000.0,100000.0,10000.0,50000.0,10000.0,100000.0,5000.0,1000.0,10000.0,5000.0,100000.0,50000.0,10000.0,100000.0,5000.0,1000.0,5000.0,1000.0,5000.0,1000.0,500.0,1000.0,1000.0,5000.0,50000.0,1000.0,100000.0,500.0,10000.0,10000.0,1000.0,10000.0,50000.0,10.0,100.0,5000.0,5000.0,500.0,5000.0,100.0,10.0,10000.0,5000.0,100.0,1000000.0,5000.0,100.0,10000.0,10000.0,100.0,50.0,100000.0,10000.0,10.0,50.0,1000.0,1000.0,1000.0,100000.0,1000.0,5000.0,10000.0,1000.0,5000.0,10000000.0,500.0,10000.0,10000.0,1000.0,100000.0,500000.0,10000.0,10000.0,10000.0,10000.0,100000.0,50.0,1.0,1000.0,100.0,5.0,10.0,50.0,10.0,500.0,10000.0,1000.0,5000.0,10.0,1000000.0,10.0,1000000.0,500.0,100.0,10000.0,100000.0,100000.0,5000000.0,1000000.0,10000.0,10000.0,10000000.0,100000.0,1000.0,500.0,100.0,100.0,100.0,100.0,100.0,100.0,50.0,1000.0,1.0,500.0,50.0,100.0,100.0,500.0,100000000.0,1.0,100.0,10000000.0,1000000.0,1000000.0,100000.0,5000000.0,10000000.0,1000000.0,5000.0,1000.0,100.0,100000.0,10000000.0,10000.0,1000.0,1000000.0,50000.0,10000000.0,10000000.0,5000000.0,100000.0,10000.0,100.0,100.0,1000.0,5000.0,500000.0,10000000.0,1000000.0,1000.0,500.0,100.0,1.0,1000.0,5000.0,10.0,1000.0,100000.0,1000.0,5000.0,10000.0,10000.0,5000.0,50000.0,1000000.0,1000.0,1000.0,10.0,50000.0,1.0,100000.0,100000.0,500.0,100.0,100000.0,1000.0,100.0,10.0,10.0,1.0,10.0,100000.0,10000.0,10000.0,1000.0,10000000.0,50000.0,10000000.0,50000.0,50000.0,500.0,50000.0,50000.0,50000.0,1000000.0,500000.0,1000.0,100000.0,1000000.0,1000000.0,100000.0,5000.0,1000.0,10000.0,1000000.0,100000.0,100.0,500.0,100.0,50000.0,1000000.0,100.0,100.0,1000.0,10000.0,50000.0,500000.0,100.0,100000.0,10000.0,5000.0,1000.0,50.0,10.0,100.0,10000.0,100.0,5000000.0,5000.0,10000.0,10000.0,100000.0,5000.0,100000.0,1000.0,500.0,10.0,5000.0,100.0,1000.0,1000.0,10000000.0],\"type\":\"box\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"title\":{\"text\":\"Number of downloads of paid apps vs. free apps\"},\"yaxis\":{\"autorange\":true,\"title\":{\"text\":\"Log number of downloads\"},\"type\":\"log\"}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('63678579-934f-40a7-b355-05b96bc47993');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace0 = go.Box(\n",
    "    # Data for paid apps\n",
    "    y = apps[apps['Type'] == 'Paid']['Installs'],\n",
    "    name = 'Paid'\n",
    ")\n",
    "\n",
    "trace1 = go.Box(\n",
    "    # Data for free apps\n",
    "    y = apps[apps['Type'] == 'Free']['Installs'],\n",
    "    name = 'Free'\n",
    ")\n",
    "\n",
    "layout = go.Layout(\n",
    "    title = \"Number of downloads of paid apps vs. free apps\",\n",
    "    yaxis = dict(title = \"Log number of downloads\",\n",
    "                type = 'log',\n",
    "                autorange = True)\n",
    ")\n",
    "\n",
    "# Add trace0 and trace1 to a list for plotting\n",
    "data = [trace0, trace1]\n",
    "plotly.offline.iplot({'data': data, 'layout': layout})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **10. Sentiment analysis of user reviews**\n",
    "\n",
    "Mining user review data to determine how people feel about your product, brand, or service can be done using a technique called sentiment analysis. User reviews for apps can be analyzed to identify if the mood is positive, negative or neutral about that app. For example, positive words in an app review might include words such as 'amazing', 'friendly', 'good', 'great', and 'love'. Negative words might be words like 'malware', 'hate', 'problem', 'refund', and 'incompetent'.\n",
    "\n",
    "By plotting sentiment polarity scores of user reviews for paid and free apps, we observe that free apps receive a lot of harsh comments, as indicated by the outliers on the negative y-axis. Reviews for paid apps appear never to be extremely negative. This may indicate something about app quality, i.e., paid apps being of higher quality than free apps on average. The median polarity score for paid apps is a little higher than free apps, thereby syncing with our previous observation.\n",
    "\n",
    "In this notebook, we analyzed over ten thousand apps from the Google Play Store. We can use our findings to inform our decisions should we ever wish to create an app ourselves."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Sentiment Polarity Distribution')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1100x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load user_reviews.csv\n",
    "reviews_df = pd.read_csv('datasets/user_reviews.csv')\n",
    "\n",
    "# Join the two dataframes\n",
    "merged_df = apps.merge(reviews_df)\n",
    "\n",
    "# Drop NA values from Sentiment column.\n",
    "merged_df = merged_df.dropna(subset = ['Sentiment'])\n",
    "\n",
    "sns.set_style('ticks')\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(11, 8)\n",
    "\n",
    "# User review sentiment polarity for paid vs. free apps\n",
    "ax = sns.boxplot(x = merged_df['Type'], y = merged_df['Sentiment_Polarity'], data = merged_df)\n",
    "ax.set_title('Sentiment Polarity Distribution')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.0 64-bit",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.0"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "26de051ba29f2982a8de78e945f0abaf191376122a1563185a90213a26c5da77"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}