{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TB case reports (Solutions to Exercises)\n",
    "\n",
    "Data sets from http://www.who.int/tb/country/data/download/en/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(tidyverse)\n",
    "library(stringr)\n",
    "library(forcats)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise (Messy to tidy)\n",
    "\n",
    "We start with a fairly messy version of the data set in `tidyr::who`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "who  <- tidyr::who"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>country</th><th scope=col>iso2</th><th scope=col>iso3</th><th scope=col>year</th><th scope=col>new_sp_m014</th><th scope=col>new_sp_m1524</th><th scope=col>new_sp_m2534</th><th scope=col>new_sp_m3544</th><th scope=col>new_sp_m4554</th><th scope=col>new_sp_m5564</th><th scope=col>⋯</th><th scope=col>newrel_m4554</th><th scope=col>newrel_m5564</th><th scope=col>newrel_m65</th><th scope=col>newrel_f014</th><th scope=col>newrel_f1524</th><th scope=col>newrel_f2534</th><th scope=col>newrel_f3544</th><th scope=col>newrel_f4554</th><th scope=col>newrel_f5564</th><th scope=col>newrel_f65</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1980       </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>⋯          </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1981       </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>⋯          </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1982       </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>⋯          </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1983       </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>⋯          </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1984       </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>⋯          </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1985       </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>⋯          </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td><td>NA         </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n",
       " country & iso2 & iso3 & year & new\\_sp\\_m014 & new\\_sp\\_m1524 & new\\_sp\\_m2534 & new\\_sp\\_m3544 & new\\_sp\\_m4554 & new\\_sp\\_m5564 & ⋯ & newrel\\_m4554 & newrel\\_m5564 & newrel\\_m65 & newrel\\_f014 & newrel\\_f1524 & newrel\\_f2534 & newrel\\_f3544 & newrel\\_f4554 & newrel\\_f5564 & newrel\\_f65\\\\\n",
       "\\hline\n",
       "\t Afghanistan & AF          & AFG         & 1980        & NA          & NA          & NA          & NA          & NA          & NA          & ⋯           & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA         \\\\\n",
       "\t Afghanistan & AF          & AFG         & 1981        & NA          & NA          & NA          & NA          & NA          & NA          & ⋯           & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA         \\\\\n",
       "\t Afghanistan & AF          & AFG         & 1982        & NA          & NA          & NA          & NA          & NA          & NA          & ⋯           & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA         \\\\\n",
       "\t Afghanistan & AF          & AFG         & 1983        & NA          & NA          & NA          & NA          & NA          & NA          & ⋯           & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA         \\\\\n",
       "\t Afghanistan & AF          & AFG         & 1984        & NA          & NA          & NA          & NA          & NA          & NA          & ⋯           & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA         \\\\\n",
       "\t Afghanistan & AF          & AFG         & 1985        & NA          & NA          & NA          & NA          & NA          & NA          & ⋯           & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA          & NA         \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "country | iso2 | iso3 | year | new_sp_m014 | new_sp_m1524 | new_sp_m2534 | new_sp_m3544 | new_sp_m4554 | new_sp_m5564 | ⋯ | newrel_m4554 | newrel_m5564 | newrel_m65 | newrel_f014 | newrel_f1524 | newrel_f2534 | newrel_f3544 | newrel_f4554 | newrel_f5564 | newrel_f65 | \n",
       "|---|---|---|---|---|---|\n",
       "| Afghanistan | AF          | AFG         | 1980        | NA          | NA          | NA          | NA          | NA          | NA          | ⋯           | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | \n",
       "| Afghanistan | AF          | AFG         | 1981        | NA          | NA          | NA          | NA          | NA          | NA          | ⋯           | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | \n",
       "| Afghanistan | AF          | AFG         | 1982        | NA          | NA          | NA          | NA          | NA          | NA          | ⋯           | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | \n",
       "| Afghanistan | AF          | AFG         | 1983        | NA          | NA          | NA          | NA          | NA          | NA          | ⋯           | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | \n",
       "| Afghanistan | AF          | AFG         | 1984        | NA          | NA          | NA          | NA          | NA          | NA          | ⋯           | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | \n",
       "| Afghanistan | AF          | AFG         | 1985        | NA          | NA          | NA          | NA          | NA          | NA          | ⋯           | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | NA          | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  country     iso2 iso3 year new_sp_m014 new_sp_m1524 new_sp_m2534 new_sp_m3544\n",
       "1 Afghanistan AF   AFG  1980 NA          NA           NA           NA          \n",
       "2 Afghanistan AF   AFG  1981 NA          NA           NA           NA          \n",
       "3 Afghanistan AF   AFG  1982 NA          NA           NA           NA          \n",
       "4 Afghanistan AF   AFG  1983 NA          NA           NA           NA          \n",
       "5 Afghanistan AF   AFG  1984 NA          NA           NA           NA          \n",
       "6 Afghanistan AF   AFG  1985 NA          NA           NA           NA          \n",
       "  new_sp_m4554 new_sp_m5564 ⋯ newrel_m4554 newrel_m5564 newrel_m65 newrel_f014\n",
       "1 NA           NA           ⋯ NA           NA           NA         NA         \n",
       "2 NA           NA           ⋯ NA           NA           NA         NA         \n",
       "3 NA           NA           ⋯ NA           NA           NA         NA         \n",
       "4 NA           NA           ⋯ NA           NA           NA         NA         \n",
       "5 NA           NA           ⋯ NA           NA           NA         NA         \n",
       "6 NA           NA           ⋯ NA           NA           NA         NA         \n",
       "  newrel_f1524 newrel_f2534 newrel_f3544 newrel_f4554 newrel_f5564 newrel_f65\n",
       "1 NA           NA           NA           NA           NA           NA        \n",
       "2 NA           NA           NA           NA           NA           NA        \n",
       "3 NA           NA           NA           NA           NA           NA        \n",
       "4 NA           NA           NA           NA           NA           NA        \n",
       "5 NA           NA           NA           NA           NA           NA        \n",
       "6 NA           NA           NA           NA           NA           NA        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(who)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 1***.\n",
    "\n",
    "- Find the definition of the first 6 column names by doing a `semi_join` with `dict`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>name</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>country     </td></tr>\n",
       "\t<tr><td>iso2        </td></tr>\n",
       "\t<tr><td>iso3        </td></tr>\n",
       "\t<tr><td>year        </td></tr>\n",
       "\t<tr><td>new_sp_m014 </td></tr>\n",
       "\t<tr><td>new_sp_m1524</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|l}\n",
       " name\\\\\n",
       "\\hline\n",
       "\t country     \\\\\n",
       "\t iso2        \\\\\n",
       "\t iso3        \\\\\n",
       "\t year        \\\\\n",
       "\t new\\_sp\\_m014 \\\\\n",
       "\t new\\_sp\\_m1524\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "name | \n",
       "|---|---|---|---|---|---|\n",
       "| country      | \n",
       "| iso2         | \n",
       "| iso3         | \n",
       "| year         | \n",
       "| new_sp_m014  | \n",
       "| new_sp_m1524 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  name        \n",
       "1 country     \n",
       "2 iso2        \n",
       "3 iso3        \n",
       "4 year        \n",
       "5 new_sp_m014 \n",
       "6 new_sp_m1524"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels  <- data.frame(name = colnames(who)[1:6])\n",
    "labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Parsed with column specification:\n",
      "cols(\n",
      "  variable_name = col_character(),\n",
      "  dataset = col_character(),\n",
      "  code_list = col_character(),\n",
      "  definition = col_character()\n",
      ")\n"
     ]
    }
   ],
   "source": [
    "dict_url <- \"https://extranet.who.int/tme/generateCSV.asp?ds=dictionary\"\n",
    "if (!file.exists(\"dict.csv\")) download.file(dict_url, \"dict.csv\")\n",
    "dict <- read_csv('dict.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“Column `variable_name`/`name` joining character vector and factor, coercing into character vector”"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>variable_name</th><th scope=col>dataset</th><th scope=col>code_list</th><th scope=col>definition</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>country                                                                         </td><td>Country identification                                                          </td><td>NA                                                                              </td><td>Country or territory name                                                       </td></tr>\n",
       "\t<tr><td>iso2                                                                            </td><td>Country identification                                                          </td><td>NA                                                                              </td><td>ISO 2-character country/territory code                                          </td></tr>\n",
       "\t<tr><td>iso3                                                                            </td><td>Country identification                                                          </td><td>NA                                                                              </td><td>ISO 3-character country/territory code                                          </td></tr>\n",
       "\t<tr><td>new_sp_m014                                                                     </td><td>Notification                                                                    </td><td>NA                                                                              </td><td>New pulmonary smear positive cases: males aged 0-14 years (not used after 2012) </td></tr>\n",
       "\t<tr><td>new_sp_m1524                                                                    </td><td>Notification                                                                    </td><td>NA                                                                              </td><td>New pulmonary smear positive cases: males aged 15-24 years (not used after 2012)</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llll}\n",
       " variable\\_name & dataset & code\\_list & definition\\\\\n",
       "\\hline\n",
       "\t country                                                                          & Country identification                                                           & NA                                                                               & Country or territory name                                                       \\\\\n",
       "\t iso2                                                                             & Country identification                                                           & NA                                                                               & ISO 2-character country/territory code                                          \\\\\n",
       "\t iso3                                                                             & Country identification                                                           & NA                                                                               & ISO 3-character country/territory code                                          \\\\\n",
       "\t new\\_sp\\_m014                                                                  & Notification                                                                     & NA                                                                               & New pulmonary smear positive cases: males aged 0-14 years (not used after 2012) \\\\\n",
       "\t new\\_sp\\_m1524                                                                 & Notification                                                                     & NA                                                                               & New pulmonary smear positive cases: males aged 15-24 years (not used after 2012)\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "variable_name | dataset | code_list | definition | \n",
       "|---|---|---|---|---|\n",
       "| country                                                                          | Country identification                                                           | NA                                                                               | Country or territory name                                                        | \n",
       "| iso2                                                                             | Country identification                                                           | NA                                                                               | ISO 2-character country/territory code                                           | \n",
       "| iso3                                                                             | Country identification                                                           | NA                                                                               | ISO 3-character country/territory code                                           | \n",
       "| new_sp_m014                                                                      | Notification                                                                     | NA                                                                               | New pulmonary smear positive cases: males aged 0-14 years (not used after 2012)  | \n",
       "| new_sp_m1524                                                                     | Notification                                                                     | NA                                                                               | New pulmonary smear positive cases: males aged 15-24 years (not used after 2012) | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  variable_name dataset                code_list\n",
       "1 country       Country identification NA       \n",
       "2 iso2          Country identification NA       \n",
       "3 iso3          Country identification NA       \n",
       "4 new_sp_m014   Notification           NA       \n",
       "5 new_sp_m1524  Notification           NA       \n",
       "  definition                                                                      \n",
       "1 Country or territory name                                                       \n",
       "2 ISO 2-character country/territory code                                          \n",
       "3 ISO 3-character country/territory code                                          \n",
       "4 New pulmonary smear positive cases: males aged 0-14 years (not used after 2012) \n",
       "5 New pulmonary smear positive cases: males aged 15-24 years (not used after 2012)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "semi_join(dict, labels, by=c(\"variable_name\" = \"name\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 2**.\n",
    "\n",
    "- Create a new column called `notification` and gather all columns beginning wiith `new`  there, such that their values are in a new column called `cases`. Remove NA values when using gather."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "who1  <-  who %>% gather(starts_with('new'),\n",
    "                         key = 'notification', \n",
    "                         value = 'cases',\n",
    "                         na.rm = TRUE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>country</th><th scope=col>iso2</th><th scope=col>iso3</th><th scope=col>year</th><th scope=col>notification</th><th scope=col>cases</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1997       </td><td>new_sp_m014</td><td>  0        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1998       </td><td>new_sp_m014</td><td> 30        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1999       </td><td>new_sp_m014</td><td>  8        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>2000       </td><td>new_sp_m014</td><td> 52        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>2001       </td><td>new_sp_m014</td><td>129        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>2002       </td><td>new_sp_m014</td><td> 90        </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllll}\n",
       " country & iso2 & iso3 & year & notification & cases\\\\\n",
       "\\hline\n",
       "\t Afghanistan     & AF              & AFG             & 1997            & new\\_sp\\_m014 &   0            \\\\\n",
       "\t Afghanistan     & AF              & AFG             & 1998            & new\\_sp\\_m014 &  30            \\\\\n",
       "\t Afghanistan     & AF              & AFG             & 1999            & new\\_sp\\_m014 &   8            \\\\\n",
       "\t Afghanistan     & AF              & AFG             & 2000            & new\\_sp\\_m014 &  52            \\\\\n",
       "\t Afghanistan     & AF              & AFG             & 2001            & new\\_sp\\_m014 & 129            \\\\\n",
       "\t Afghanistan     & AF              & AFG             & 2002            & new\\_sp\\_m014 &  90            \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "country | iso2 | iso3 | year | notification | cases | \n",
       "|---|---|---|---|---|---|\n",
       "| Afghanistan | AF          | AFG         | 1997        | new_sp_m014 |   0         | \n",
       "| Afghanistan | AF          | AFG         | 1998        | new_sp_m014 |  30         | \n",
       "| Afghanistan | AF          | AFG         | 1999        | new_sp_m014 |   8         | \n",
       "| Afghanistan | AF          | AFG         | 2000        | new_sp_m014 |  52         | \n",
       "| Afghanistan | AF          | AFG         | 2001        | new_sp_m014 | 129         | \n",
       "| Afghanistan | AF          | AFG         | 2002        | new_sp_m014 |  90         | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  country     iso2 iso3 year notification cases\n",
       "1 Afghanistan AF   AFG  1997 new_sp_m014    0  \n",
       "2 Afghanistan AF   AFG  1998 new_sp_m014   30  \n",
       "3 Afghanistan AF   AFG  1999 new_sp_m014    8  \n",
       "4 Afghanistan AF   AFG  2000 new_sp_m014   52  \n",
       "5 Afghanistan AF   AFG  2001 new_sp_m014  129  \n",
       "6 Afghanistan AF   AFG  2002 new_sp_m014   90  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(who1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 3**.\n",
    "\n",
    "- Replace all occurrences of the string `newrel` with `new_rel`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "who2  <- who1 %>% mutate(notification = str_replace(notification, \"newrel\", \"new_rel\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>country</th><th scope=col>iso2</th><th scope=col>iso3</th><th scope=col>year</th><th scope=col>notification</th><th scope=col>cases</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1997       </td><td>new_sp_m014</td><td>  0        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1998       </td><td>new_sp_m014</td><td> 30        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1999       </td><td>new_sp_m014</td><td>  8        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>2000       </td><td>new_sp_m014</td><td> 52        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>2001       </td><td>new_sp_m014</td><td>129        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>2002       </td><td>new_sp_m014</td><td> 90        </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllll}\n",
       " country & iso2 & iso3 & year & notification & cases\\\\\n",
       "\\hline\n",
       "\t Afghanistan     & AF              & AFG             & 1997            & new\\_sp\\_m014 &   0            \\\\\n",
       "\t Afghanistan     & AF              & AFG             & 1998            & new\\_sp\\_m014 &  30            \\\\\n",
       "\t Afghanistan     & AF              & AFG             & 1999            & new\\_sp\\_m014 &   8            \\\\\n",
       "\t Afghanistan     & AF              & AFG             & 2000            & new\\_sp\\_m014 &  52            \\\\\n",
       "\t Afghanistan     & AF              & AFG             & 2001            & new\\_sp\\_m014 & 129            \\\\\n",
       "\t Afghanistan     & AF              & AFG             & 2002            & new\\_sp\\_m014 &  90            \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "country | iso2 | iso3 | year | notification | cases | \n",
       "|---|---|---|---|---|---|\n",
       "| Afghanistan | AF          | AFG         | 1997        | new_sp_m014 |   0         | \n",
       "| Afghanistan | AF          | AFG         | 1998        | new_sp_m014 |  30         | \n",
       "| Afghanistan | AF          | AFG         | 1999        | new_sp_m014 |   8         | \n",
       "| Afghanistan | AF          | AFG         | 2000        | new_sp_m014 |  52         | \n",
       "| Afghanistan | AF          | AFG         | 2001        | new_sp_m014 | 129         | \n",
       "| Afghanistan | AF          | AFG         | 2002        | new_sp_m014 |  90         | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  country     iso2 iso3 year notification cases\n",
       "1 Afghanistan AF   AFG  1997 new_sp_m014    0  \n",
       "2 Afghanistan AF   AFG  1998 new_sp_m014   30  \n",
       "3 Afghanistan AF   AFG  1999 new_sp_m014    8  \n",
       "4 Afghanistan AF   AFG  2000 new_sp_m014   52  \n",
       "5 Afghanistan AF   AFG  2001 new_sp_m014  129  \n",
       "6 Afghanistan AF   AFG  2002 new_sp_m014   90  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(who2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 4**. \n",
    "\n",
    "- Split the `notification` column into `new`, `type`, `sex`, `age`. (Note: There are no sex unknown data here)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "who3  <- who2 %>% separate(notification, into = c(\"new\", \"type\", \"sexage\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>country</th><th scope=col>iso2</th><th scope=col>iso3</th><th scope=col>year</th><th scope=col>new</th><th scope=col>type</th><th scope=col>sexage</th><th scope=col>cases</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1997       </td><td>new        </td><td>sp         </td><td>m014       </td><td>  0        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1998       </td><td>new        </td><td>sp         </td><td>m014       </td><td> 30        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1999       </td><td>new        </td><td>sp         </td><td>m014       </td><td>  8        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>2000       </td><td>new        </td><td>sp         </td><td>m014       </td><td> 52        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>2001       </td><td>new        </td><td>sp         </td><td>m014       </td><td>129        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>2002       </td><td>new        </td><td>sp         </td><td>m014       </td><td> 90        </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllll}\n",
       " country & iso2 & iso3 & year & new & type & sexage & cases\\\\\n",
       "\\hline\n",
       "\t Afghanistan & AF          & AFG         & 1997        & new         & sp          & m014        &   0        \\\\\n",
       "\t Afghanistan & AF          & AFG         & 1998        & new         & sp          & m014        &  30        \\\\\n",
       "\t Afghanistan & AF          & AFG         & 1999        & new         & sp          & m014        &   8        \\\\\n",
       "\t Afghanistan & AF          & AFG         & 2000        & new         & sp          & m014        &  52        \\\\\n",
       "\t Afghanistan & AF          & AFG         & 2001        & new         & sp          & m014        & 129        \\\\\n",
       "\t Afghanistan & AF          & AFG         & 2002        & new         & sp          & m014        &  90        \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "country | iso2 | iso3 | year | new | type | sexage | cases | \n",
       "|---|---|---|---|---|---|\n",
       "| Afghanistan | AF          | AFG         | 1997        | new         | sp          | m014        |   0         | \n",
       "| Afghanistan | AF          | AFG         | 1998        | new         | sp          | m014        |  30         | \n",
       "| Afghanistan | AF          | AFG         | 1999        | new         | sp          | m014        |   8         | \n",
       "| Afghanistan | AF          | AFG         | 2000        | new         | sp          | m014        |  52         | \n",
       "| Afghanistan | AF          | AFG         | 2001        | new         | sp          | m014        | 129         | \n",
       "| Afghanistan | AF          | AFG         | 2002        | new         | sp          | m014        |  90         | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  country     iso2 iso3 year new type sexage cases\n",
       "1 Afghanistan AF   AFG  1997 new sp   m014     0  \n",
       "2 Afghanistan AF   AFG  1998 new sp   m014    30  \n",
       "3 Afghanistan AF   AFG  1999 new sp   m014     8  \n",
       "4 Afghanistan AF   AFG  2000 new sp   m014    52  \n",
       "5 Afghanistan AF   AFG  2001 new sp   m014   129  \n",
       "6 Afghanistan AF   AFG  2002 new sp   m014    90  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(who3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "who4  <- who3 %>% separate(sexage, into = c(\"sex\", \"age\"), sep=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>country</th><th scope=col>iso2</th><th scope=col>iso3</th><th scope=col>year</th><th scope=col>new</th><th scope=col>type</th><th scope=col>sex</th><th scope=col>age</th><th scope=col>cases</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1997       </td><td>new        </td><td>sp         </td><td>m          </td><td>014        </td><td>  0        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1998       </td><td>new        </td><td>sp         </td><td>m          </td><td>014        </td><td> 30        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>1999       </td><td>new        </td><td>sp         </td><td>m          </td><td>014        </td><td>  8        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>2000       </td><td>new        </td><td>sp         </td><td>m          </td><td>014        </td><td> 52        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>2001       </td><td>new        </td><td>sp         </td><td>m          </td><td>014        </td><td>129        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>AF         </td><td>AFG        </td><td>2002       </td><td>new        </td><td>sp         </td><td>m          </td><td>014        </td><td> 90        </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllll}\n",
       " country & iso2 & iso3 & year & new & type & sex & age & cases\\\\\n",
       "\\hline\n",
       "\t Afghanistan & AF          & AFG         & 1997        & new         & sp          & m           & 014         &   0        \\\\\n",
       "\t Afghanistan & AF          & AFG         & 1998        & new         & sp          & m           & 014         &  30        \\\\\n",
       "\t Afghanistan & AF          & AFG         & 1999        & new         & sp          & m           & 014         &   8        \\\\\n",
       "\t Afghanistan & AF          & AFG         & 2000        & new         & sp          & m           & 014         &  52        \\\\\n",
       "\t Afghanistan & AF          & AFG         & 2001        & new         & sp          & m           & 014         & 129        \\\\\n",
       "\t Afghanistan & AF          & AFG         & 2002        & new         & sp          & m           & 014         &  90        \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "country | iso2 | iso3 | year | new | type | sex | age | cases | \n",
       "|---|---|---|---|---|---|\n",
       "| Afghanistan | AF          | AFG         | 1997        | new         | sp          | m           | 014         |   0         | \n",
       "| Afghanistan | AF          | AFG         | 1998        | new         | sp          | m           | 014         |  30         | \n",
       "| Afghanistan | AF          | AFG         | 1999        | new         | sp          | m           | 014         |   8         | \n",
       "| Afghanistan | AF          | AFG         | 2000        | new         | sp          | m           | 014         |  52         | \n",
       "| Afghanistan | AF          | AFG         | 2001        | new         | sp          | m           | 014         | 129         | \n",
       "| Afghanistan | AF          | AFG         | 2002        | new         | sp          | m           | 014         |  90         | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  country     iso2 iso3 year new type sex age cases\n",
       "1 Afghanistan AF   AFG  1997 new sp   m   014   0  \n",
       "2 Afghanistan AF   AFG  1998 new sp   m   014  30  \n",
       "3 Afghanistan AF   AFG  1999 new sp   m   014   8  \n",
       "4 Afghanistan AF   AFG  2000 new sp   m   014  52  \n",
       "5 Afghanistan AF   AFG  2001 new sp   m   014 129  \n",
       "6 Afghanistan AF   AFG  2002 new sp   m   014  90  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(who4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 5**. \n",
    "\n",
    "- Drop the `iso2`, `iso3`, `new` columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "who5  <-  who4 %>% select(-iso2, -iso3, -new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>country</th><th scope=col>year</th><th scope=col>type</th><th scope=col>sex</th><th scope=col>age</th><th scope=col>cases</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Afghanistan</td><td>1997       </td><td>sp         </td><td>m          </td><td>014        </td><td>  0        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>1998       </td><td>sp         </td><td>m          </td><td>014        </td><td> 30        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>1999       </td><td>sp         </td><td>m          </td><td>014        </td><td>  8        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>2000       </td><td>sp         </td><td>m          </td><td>014        </td><td> 52        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>2001       </td><td>sp         </td><td>m          </td><td>014        </td><td>129        </td></tr>\n",
       "\t<tr><td>Afghanistan</td><td>2002       </td><td>sp         </td><td>m          </td><td>014        </td><td> 90        </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllll}\n",
       " country & year & type & sex & age & cases\\\\\n",
       "\\hline\n",
       "\t Afghanistan & 1997        & sp          & m           & 014         &   0        \\\\\n",
       "\t Afghanistan & 1998        & sp          & m           & 014         &  30        \\\\\n",
       "\t Afghanistan & 1999        & sp          & m           & 014         &   8        \\\\\n",
       "\t Afghanistan & 2000        & sp          & m           & 014         &  52        \\\\\n",
       "\t Afghanistan & 2001        & sp          & m           & 014         & 129        \\\\\n",
       "\t Afghanistan & 2002        & sp          & m           & 014         &  90        \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "country | year | type | sex | age | cases | \n",
       "|---|---|---|---|---|---|\n",
       "| Afghanistan | 1997        | sp          | m           | 014         |   0         | \n",
       "| Afghanistan | 1998        | sp          | m           | 014         |  30         | \n",
       "| Afghanistan | 1999        | sp          | m           | 014         |   8         | \n",
       "| Afghanistan | 2000        | sp          | m           | 014         |  52         | \n",
       "| Afghanistan | 2001        | sp          | m           | 014         | 129         | \n",
       "| Afghanistan | 2002        | sp          | m           | 014         |  90         | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  country     year type sex age cases\n",
       "1 Afghanistan 1997 sp   m   014   0  \n",
       "2 Afghanistan 1998 sp   m   014  30  \n",
       "3 Afghanistan 1999 sp   m   014   8  \n",
       "4 Afghanistan 2000 sp   m   014  52  \n",
       "5 Afghanistan 2001 sp   m   014 129  \n",
       "6 Afghanistan 2002 sp   m   014  90  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(who5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise (Exploratory data analysis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 1**.\n",
    "\n",
    "- For each country compute the total number of cases of TB  and save as `ex1`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "ex1 <- who5 %>% group_by(country) %>% summarize(count = sum(cases))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>country</th><th scope=col>count</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Afghanistan   </td><td>140225        </td></tr>\n",
       "\t<tr><td>Albania       </td><td>  5335        </td></tr>\n",
       "\t<tr><td>Algeria       </td><td>128119        </td></tr>\n",
       "\t<tr><td>American Samoa</td><td>    41        </td></tr>\n",
       "\t<tr><td>Andorra       </td><td>   103        </td></tr>\n",
       "\t<tr><td>Angola        </td><td>308365        </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " country & count\\\\\n",
       "\\hline\n",
       "\t Afghanistan    & 140225        \\\\\n",
       "\t Albania        &   5335        \\\\\n",
       "\t Algeria        & 128119        \\\\\n",
       "\t American Samoa &     41        \\\\\n",
       "\t Andorra        &    103        \\\\\n",
       "\t Angola         & 308365        \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "country | count | \n",
       "|---|---|---|---|---|---|\n",
       "| Afghanistan    | 140225         | \n",
       "| Albania        |   5335         | \n",
       "| Algeria        | 128119         | \n",
       "| American Samoa |     41         | \n",
       "| Andorra        |    103         | \n",
       "| Angola         | 308365         | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  country        count \n",
       "1 Afghanistan    140225\n",
       "2 Albania          5335\n",
       "3 Algeria        128119\n",
       "4 American Samoa     41\n",
       "5 Andorra           103\n",
       "6 Angola         308365"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(ex1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 2**.\n",
    "\n",
    "- For each year, find the country that had the  smear positive pulmonary TB. Display in chronological order."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>year</th><th scope=col>country</th><th scope=col>cases</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>1980  </td><td>Canada</td><td>  186 </td></tr>\n",
       "\t<tr><td>1981  </td><td>Canada</td><td>  141 </td></tr>\n",
       "\t<tr><td>1982  </td><td>Canada</td><td>  150 </td></tr>\n",
       "\t<tr><td>1983  </td><td>Canada</td><td>  123 </td></tr>\n",
       "\t<tr><td>1984  </td><td>Canada</td><td>  169 </td></tr>\n",
       "\t<tr><td>1985  </td><td>Canada</td><td>  168 </td></tr>\n",
       "\t<tr><td>1986  </td><td>Canada</td><td>  147 </td></tr>\n",
       "\t<tr><td>1987  </td><td>Canada</td><td>  129 </td></tr>\n",
       "\t<tr><td>1988  </td><td>Canada</td><td>  131 </td></tr>\n",
       "\t<tr><td>1989  </td><td>Canada</td><td>  122 </td></tr>\n",
       "\t<tr><td>1990  </td><td>Canada</td><td>  100 </td></tr>\n",
       "\t<tr><td>1991  </td><td>Canada</td><td>  110 </td></tr>\n",
       "\t<tr><td>1992  </td><td>Canada</td><td>   79 </td></tr>\n",
       "\t<tr><td>1993  </td><td>Canada</td><td>   74 </td></tr>\n",
       "\t<tr><td>1994  </td><td>Canada</td><td>   87 </td></tr>\n",
       "\t<tr><td>1995  </td><td>China </td><td>18306 </td></tr>\n",
       "\t<tr><td>1996  </td><td>China </td><td>24057 </td></tr>\n",
       "\t<tr><td>1997  </td><td>China </td><td>28247 </td></tr>\n",
       "\t<tr><td>1998  </td><td>China </td><td>30093 </td></tr>\n",
       "\t<tr><td>1999  </td><td>China </td><td>29328 </td></tr>\n",
       "\t<tr><td>2000  </td><td>India </td><td>31090 </td></tr>\n",
       "\t<tr><td>2001  </td><td>India </td><td>30007 </td></tr>\n",
       "\t<tr><td>2002  </td><td>India </td><td>55829 </td></tr>\n",
       "\t<tr><td>2003  </td><td>India </td><td>63587 </td></tr>\n",
       "\t<tr><td>2004  </td><td>India </td><td>74450 </td></tr>\n",
       "\t<tr><td>2005  </td><td>India </td><td>76870 </td></tr>\n",
       "\t<tr><td>2006  </td><td>India </td><td>82939 </td></tr>\n",
       "\t<tr><td>2007  </td><td>India </td><td>88045 </td></tr>\n",
       "\t<tr><td>2008  </td><td>India </td><td>90498 </td></tr>\n",
       "\t<tr><td>2009  </td><td>India </td><td>90830 </td></tr>\n",
       "\t<tr><td>2010  </td><td>India </td><td>90440 </td></tr>\n",
       "\t<tr><td>2011  </td><td>India </td><td>89706 </td></tr>\n",
       "\t<tr><td>2012  </td><td>India </td><td>88111 </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       " year & country & cases\\\\\n",
       "\\hline\n",
       "\t 1980   & Canada &   186 \\\\\n",
       "\t 1981   & Canada &   141 \\\\\n",
       "\t 1982   & Canada &   150 \\\\\n",
       "\t 1983   & Canada &   123 \\\\\n",
       "\t 1984   & Canada &   169 \\\\\n",
       "\t 1985   & Canada &   168 \\\\\n",
       "\t 1986   & Canada &   147 \\\\\n",
       "\t 1987   & Canada &   129 \\\\\n",
       "\t 1988   & Canada &   131 \\\\\n",
       "\t 1989   & Canada &   122 \\\\\n",
       "\t 1990   & Canada &   100 \\\\\n",
       "\t 1991   & Canada &   110 \\\\\n",
       "\t 1992   & Canada &    79 \\\\\n",
       "\t 1993   & Canada &    74 \\\\\n",
       "\t 1994   & Canada &    87 \\\\\n",
       "\t 1995   & China  & 18306 \\\\\n",
       "\t 1996   & China  & 24057 \\\\\n",
       "\t 1997   & China  & 28247 \\\\\n",
       "\t 1998   & China  & 30093 \\\\\n",
       "\t 1999   & China  & 29328 \\\\\n",
       "\t 2000   & India  & 31090 \\\\\n",
       "\t 2001   & India  & 30007 \\\\\n",
       "\t 2002   & India  & 55829 \\\\\n",
       "\t 2003   & India  & 63587 \\\\\n",
       "\t 2004   & India  & 74450 \\\\\n",
       "\t 2005   & India  & 76870 \\\\\n",
       "\t 2006   & India  & 82939 \\\\\n",
       "\t 2007   & India  & 88045 \\\\\n",
       "\t 2008   & India  & 90498 \\\\\n",
       "\t 2009   & India  & 90830 \\\\\n",
       "\t 2010   & India  & 90440 \\\\\n",
       "\t 2011   & India  & 89706 \\\\\n",
       "\t 2012   & India  & 88111 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "year | country | cases | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1980   | Canada |   186  | \n",
       "| 1981   | Canada |   141  | \n",
       "| 1982   | Canada |   150  | \n",
       "| 1983   | Canada |   123  | \n",
       "| 1984   | Canada |   169  | \n",
       "| 1985   | Canada |   168  | \n",
       "| 1986   | Canada |   147  | \n",
       "| 1987   | Canada |   129  | \n",
       "| 1988   | Canada |   131  | \n",
       "| 1989   | Canada |   122  | \n",
       "| 1990   | Canada |   100  | \n",
       "| 1991   | Canada |   110  | \n",
       "| 1992   | Canada |    79  | \n",
       "| 1993   | Canada |    74  | \n",
       "| 1994   | Canada |    87  | \n",
       "| 1995   | China  | 18306  | \n",
       "| 1996   | China  | 24057  | \n",
       "| 1997   | China  | 28247  | \n",
       "| 1998   | China  | 30093  | \n",
       "| 1999   | China  | 29328  | \n",
       "| 2000   | India  | 31090  | \n",
       "| 2001   | India  | 30007  | \n",
       "| 2002   | India  | 55829  | \n",
       "| 2003   | India  | 63587  | \n",
       "| 2004   | India  | 74450  | \n",
       "| 2005   | India  | 76870  | \n",
       "| 2006   | India  | 82939  | \n",
       "| 2007   | India  | 88045  | \n",
       "| 2008   | India  | 90498  | \n",
       "| 2009   | India  | 90830  | \n",
       "| 2010   | India  | 90440  | \n",
       "| 2011   | India  | 89706  | \n",
       "| 2012   | India  | 88111  | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   year country cases\n",
       "1  1980 Canada    186\n",
       "2  1981 Canada    141\n",
       "3  1982 Canada    150\n",
       "4  1983 Canada    123\n",
       "5  1984 Canada    169\n",
       "6  1985 Canada    168\n",
       "7  1986 Canada    147\n",
       "8  1987 Canada    129\n",
       "9  1988 Canada    131\n",
       "10 1989 Canada    122\n",
       "11 1990 Canada    100\n",
       "12 1991 Canada    110\n",
       "13 1992 Canada     79\n",
       "14 1993 Canada     74\n",
       "15 1994 Canada     87\n",
       "16 1995 China   18306\n",
       "17 1996 China   24057\n",
       "18 1997 China   28247\n",
       "19 1998 China   30093\n",
       "20 1999 China   29328\n",
       "21 2000 India   31090\n",
       "22 2001 India   30007\n",
       "23 2002 India   55829\n",
       "24 2003 India   63587\n",
       "25 2004 India   74450\n",
       "26 2005 India   76870\n",
       "27 2006 India   82939\n",
       "28 2007 India   88045\n",
       "29 2008 India   90498\n",
       "30 2009 India   90830\n",
       "31 2010 India   90440\n",
       "32 2011 India   89706\n",
       "33 2012 India   88111"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "who5 %>% filter(type == 'sp') %>% \n",
    "group_by(year) %>% \n",
    "filter(cases == max(cases)) %>% \n",
    "select(year, country, cases) %>% \n",
    "arrange(year)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**3**. Express the data for China as a data frame with just 3 columns - `year`, `f` and `m` where the values for `f` and `m` are the sum of female and male cases in that year. Show just the 5 years with highest total count of cases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>year</th><th scope=col>f</th><th scope=col>m</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>2009  </td><td>270530</td><td>613947</td></tr>\n",
       "\t<tr><td>2010  </td><td>268998</td><td>600094</td></tr>\n",
       "\t<tr><td>2011  </td><td>263933</td><td>601126</td></tr>\n",
       "\t<tr><td>2012  </td><td>265110</td><td>593751</td></tr>\n",
       "\t<tr><td>2013  </td><td>261049</td><td>586127</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       " year & f & m\\\\\n",
       "\\hline\n",
       "\t 2009   & 270530 & 613947\\\\\n",
       "\t 2010   & 268998 & 600094\\\\\n",
       "\t 2011   & 263933 & 601126\\\\\n",
       "\t 2012   & 265110 & 593751\\\\\n",
       "\t 2013   & 261049 & 586127\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "year | f | m | \n",
       "|---|---|---|---|---|\n",
       "| 2009   | 270530 | 613947 | \n",
       "| 2010   | 268998 | 600094 | \n",
       "| 2011   | 263933 | 601126 | \n",
       "| 2012   | 265110 | 593751 | \n",
       "| 2013   | 261049 | 586127 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  year f      m     \n",
       "1 2009 270530 613947\n",
       "2 2010 268998 600094\n",
       "3 2011 263933 601126\n",
       "4 2012 265110 593751\n",
       "5 2013 261049 586127"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "who5 %>% \n",
    "filter(country == 'China') %>% \n",
    "group_by(year, sex) %>% \n",
    "summarize(count = sum(cases)) %>% \n",
    "spread(key = sex, value = count) %>%\n",
    "arrange(desc(f + m)) %>%\n",
    "head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 4**.\n",
    "\n",
    "- Make a scatter plot of the number of *reports* (each row is a report) of TB in each country with the regions on the y axis. Restrict to countries that begin with the letter A. Order the countries by number of reports and remove the y  label."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "options(repr.plot.width=4, repr.plot.height=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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qSAYB4g2AFAMALBPECwupACgnmAYAcAwcjbgifL8Rm/KbjHhRm/LrjH2IxbCu6B\nr7q20A7eE9x55X0F9zh/5a0F9whdeUPBPfC3awrtAIJ5gOASBgRb8J7g4MrnCu5xceVTBfcY\nX7mt4B549eZCO3hPMGABBHscEOxxQLDH8ZDgZHWIfJS31f/04YR5OxGG76+dv+5sYT3eXb9g\n0V2osB6EropQwT1UPCM4/vZdkiJ468/aDy+537ydCGtv7AzcWT1USI/E0jt72m9eUdj9wDhS\nr3wzhfXQ8IzgHXWLlP8m43P/ivFbs0bo7URaXJROkJ+W6j2F9AhIYxi/LUUL6UG45ybyzRTY\nQ8MzgpXYNRF8QklZJyuO0NuJNBhsIQ+DsTm7C+mRiuLomS03FXQ/MH712mPkmymsh47XBO+f\npRxWv0xvJ9okdmddqMAeK6UF5wu7H/3Vp5RvptDvRcVrgttmK4fVL9LbibVI76tbNVJgDxwa\neGLheCE9Urc8rX4zBd4PDa8JPiGNk+fRisP0dkIdRlYvfi1dWI9zSnV6TnshPVobgr1t0smh\ngr4XitcER+a0Y9zpH6K3E2mQXt6kTuArpMeri2SMwxWHC+mxRfsTnwcL6WHgNcH4tw3vnL7x\nAfN2AnRUvNZBQIX0GK1+oKf7tmtjhfRQUL+ZAnuoeE6wvLXup1sS5u0EaNV+cnYV0gMHVlXV\n3j1Q0P1QUL+ZAnuoeEgwwAMEexwQ7HFAsMcBwR4HBHscEOxxQLDHAcEeBwR7HBDscUCwxwHB\nHgcEexwQPAlm+t/98Uc/vXS02PcjH0DwJJj5Xz945uyWDywu9v3IBxA8CWb69iof/7HY9yMf\nQPAkmHm58rH+iiLfjbwAwZNg5teVj0uuKO69yA8QPAlmflP5uOSK4t6L/ADBkwAEexwQ7HFA\nsMfRBF/75WLfj3wAwR4HBHscEOxxQLDHAcEeBwR7HBDscUCwxwHBHgcEexwQ7HFAsMcBwR4H\nBHuc/wegcBz+gAhrYAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "foo  <- who5 %>% \n",
    "filter(str_detect(country, '^A')) %>% \n",
    "group_by(country) %>% \n",
    "summarise(n = n())\n",
    "\n",
    "foo %>%\n",
    "ggplot(aes(n, reorder(country, n))) + \n",
    "geom_point() +\n",
    "ylab(NULL)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 5**.\n",
    "\n",
    "- Display `ex1` as a bar chart. Because of the large number  of countries, place the countries on the y-axis, and display countries from fewest to most cases. Scale the counts using a log10 scale, adding 1 to each count so we don't have to deal with negative infinity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "options(repr.plot.width=6, repr.plot.height=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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RoTWgSjd7zS29dSK5Z2KLQEKHRJwISG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4iooKat0H8+D0OeUX4avwwPQdsKpks2D710TkWi53Me\nWiw5bgBY5dFGu/Nxs6SfB54p9EVhYEQHUUFN19AfbIHD60UpNL8MD0HbCqYBhjYQrkYcRIvt\nMoPdlSREIwroKsNRSKqMxxMq0wmIWRth8fDOY6HJCz9HeTQx8+h6a1MIvd2c4RXUVOibi6ZX\nnRWnicuYIWhbwbQJrqElwDX0rLAL7SiPJmZ2lpP/1C9tyiw0r6CmQutVB70TQmh+GR6CthVM\nm6DQEqDQs8IutKM8mpiZWLVt8MqK/ZmF5hXU7Nd27y9oBatu2rwMD0HbCqZNUGgJUOhZ4RDa\nXh5N250fbVvq3x/NLDSvoGZC92iXwTqNX8YMQdsKpk1QaAlQ6CLSvTiqMo5CS4BCF41kqOnd\nmadsoNASoNBFI6AtH595ygbGRyVAoYuGfj+pdgIKLQEK7R5KcsmxlK46UGjEIHmiecmLrQNy\nwyi0BCh0MQmtrzh2vWunp0tqGoWWAIUuJgf9T+jNB1WJmSYpKLQEKHQRmV7YwW4nLk+FtSH6\nj+ihjHXRJii0BCh0EQmYn69MEEJnqos2QaElQKGLSJcWpV12hHYudKa6aDLZ/yfCf3QnxRaZ\no+sAugqK02rjs792XDwwKPTsuKv9DpAMBAI1QuiMddEAP1cRLsWdFFtkTjyuQ1wFxWldZTqR\nVJlOQsLasHIIKPTsiHj/zW4TPkPou1ooU100H8clhwS45CgmB6pYGO+fdMlxC6BDC2Wqi+bT\nKLQEKHQxCb269PMbXbtXv9wOVVuGehq0UKa6aD6NQkuAQheV+OE1ZQ0HIl91w/Xaxc33Xgtn\nrIs2QaElQKHdAwotAQrtHlBoCVBo94DxUQlQaPeAQkuAQruHUl1yEFBoRB0UWgIUOj/4tfv0\nRn9RG35u10ShJUCh84Pfc4ze3PZkEHrDqdldE4WWAIXOD/4NDfTmYNOshU5vUkehJUCh84P/\nhPcPcrPyNBHa7DjnzeaNmtaSVpLOtx+1LmnoLhsymtT5iSYotAQodH7wd7R8DnC37HdtmHec\ni2Zz+gydUpLOtxO1rbc7/Z4h1qQuTgQIeAgXEk6KbbENSKigOK2rTCeVpnVIWhsx8eih0Gn4\nOzoaAT7dNaoN845z3mxOhU4tSefbnUvCtHB6iDWpixNLPOBPwID/XMffMeEdgbpOIjTvOOfN\n5lTo1JJ0vn2Efu7KH1ToG1Y5Or8mLjkkwCVHfvB3wKYT93wRIjTvOBe9uUTo1JJ0vv0pFXqE\nCt1vlaPza6LQEqDQ+YEIfW7N0TeBCM07zu1Cp5ak8+1LFRGAb02hxYkmKLQEKHR+IEIHF1Rf\npkLzjnMhdFPbVGpJOt+OrdgxeK3ea4guTjRBoSVAofMDERqaF01ToXnHuWg2P1+xI60knW+P\nbCxf97N3wmhS5yeaoNASoNAlxVNaCvbbC3rGgyi0BCh0STHmO/V0uOn9zAcxPioBCl1a/Njo\ne/GdUOZjKLQEKLR7KOElh/nRFJKg0AgFhZYAhc7KBuMjffwzZOPKesxvHnrSP9QqoNk2jA8I\n11pme4dQaAlQ6KykCz2qtadnP4XQJ8q0tOJyp9DNAcrvjgl6TeePzfofEAotAQqdlXShpw4F\ncgjdsK/R/DhOK8rsFHpnhp9Cr+kIP6PQTlDo54VNaJ5a9vY7wszDm8oburnQv2vXj/polzOL\nMpu95QGtr7G86a4xYQltbzP39jvOcPyAqw2+FafFHUKhJUChs2IX2kwtE/lsYeawf1Nf1wqP\nKfRnFYnftEvkGxpl5r3lAa22u29L+QSb2P7GIGXM2WZOhbadYf8BjxZ+fOe4dpuc+msdoTPm\npNgOO4gpoKsMxyCpMp1Qmk5C3NqIiId+7gttJpkNoXl4+dzSaYDrmil0LRmvYR9GfxKA95YH\ntO8BolXGKsJ8UXjE2WZOhbadYf8BPZ5RgE5a1njzfwhnUu5gsR12ULCHJX9YH3Qz94U2k8yG\n0Dy8/FELORwzn6EHtXMjI3sXTgGLMvPe8oBGdsCOd9iIbclhqxalQtvOsP+A8NqyPRfYb04S\n44Sxxw6eFNthB48VSKoMj0FUZXwyrDI9DeO2LfHQz02h33iL3Sz9UqSWTaF5ePlAC/kSN4U+\nYDz9fm0M897ygEb/1W/H39lIdqFtZzjS0nCrrabyB76Ba2gJcA2dlQ9fou/JuavdTBWah5c7\nKshrwJ+MJYdezfSvaTGGeW95QLtClhzLzrIL5hRaNJ3bfsBNuhRp3cHPQqElQKGzMlL+Rlff\n2eqNukNoW5g54t88cK3W+C1Hn8Zy+Ee842yY95YHFq34fmCr3/ggK/NF4WBGoUXTue0H3PB8\n+ev3NUf4HUKhJUChs3NvZ7Wv/gj7TZyZWia39jDz/U3lq6/svkNn21awyOeI1m5Emc3e8qHW\naw3lfzU7+M0XhV5wtJmbQoumc/sPOLFyUfVB8VoFhZYAhXYPKLQEKLR7wPioBCi0e0ChJUCh\n3UNJLzlU1hwoNEJBoSWYg0I/v2rm+Kvj/FcT/3IeERG7meCDF9cs9m++rfbj+5a/fsse0EOh\nJZiLQlvVzGlh45ykTX/+nggxP3YeySZ0tnDpVwtPDPbuW/SLc2KGXt03twWh8UdrG4WWYC4K\nbVUzG2Fjk/TC5RQc04SE/7csIWan0LnCzOZg3cf0a9OHSkK3HAH4ZqO1jUJLMBeFtlUze/sh\n+LdK//64s3A5tZXZzB2TaTOVzOhaCzahU0PQouE5W5jZnpZe8iH9enfAmJgh+mzey2ZNew3i\ni63/WlBoCeai0FY1M1FUf2XzwDdVh52FyymtzDx3TITmqWRKGw3JGf9e/Xt6CFo0PGcJMzvS\n0nu8u64bbzikEzmjzyDuJX2GhoZzdN/97YQfw06KrbCTsDy6wmw4AkmV8VhcZToOUWvDao8o\nNaFFNTNR9FrZFED7XmfhckorM88dE/15KpnSeBz4v1e/lhaCthqes4SZHWnp2NF6bdEbF4FN\n5I4+W/eSCb3rPbqv9PPQcyAQXap5aFs1M1H0uPl06yhcTmll5rlj8gzNU8mUF+l7XvmSIzUE\nbTU8ZwkzO9LShCffvOn7yHhWzhl9tu4lE/owfc8ATPcTRp46CBZbYSdP5UkqzD4NQkxlPBRR\nmQ7DpLUxJhQqNaFFNTNR9Oh6Y6+jcDmllZnnjr39IpVMcQidGoJ2NDxnCjPb09JDG5mr571x\nOjFD9FncS0PoLeIPhmtoCebkGlpUMxPbOsvDAJc2OQuXU1qZee6YLlDMVDLFWHKYQqeGoB0N\nz5nCzPa09IT2Hb05V6bTiRmiz+JeGkuOd8UfDIWWYG4KzauZiW2JVdsGr6zY7yxcTmll5rlj\nb79IJVPeZy8K+W85UkPQ9obnTGFme1oa9pcdudF7cskhoBMzRJ/FvWRCv2r9bhyFlmBuCi2q\nmYltj7Yt9e+POguXU1uZzdwx2c1TyZSu18AmdGoI2t7wnDHMbEtLQ+JsQ3nF2g4d2MQM0Wd+\nL6nQicUj4g+GQkswB4V+bsT9Q8W+C3Cx2foehZYAhc7B5+8V+x5A43XrexRaAhQ6BzScVFz6\nc4WTMA+dARTaPeAztAQotHtAoSVAoQtKxwL2oVb3tOszTWYAhZYAhS4oUwtZ58yxisRMkxmi\npSi0BCh0YdnGfg3X+O5Mcyg0B4UuaS57xmjQ74YIXpvR7LA2RP95PWTPSot9Jii0BCh0YYmU\nnQH4sjIhMtFmNFvIa8tK24R++Anh1pSDULEVdjIlj64wOxWChMp4JKYyHYOwtTEpHiUUWp49\nTQDN71mZaDOazeW1Z6VtQmMeugCUah66tLnmeTKx4CcrE21Gs4W8tqy0Tejx84RfJpwUW2En\nE/LoCrMTkxBXGZ+OqkxHIWRtWP+KhkLLk6g4fb4qaWWizeAfk/euFrJnpfk+fiquoSXANXSh\naVvX2mZLUAuhbwF0aCF7Vprv42ei0BKg0IWmz7Ow15ag5tHsqi1DPQ1ayJGVNvfxM1FoCVDo\nQqNXL6NV0jwTzaPZ12sXN997LezISvN9Jii0BCi0e0ChJUCh3QMKLQEK7R4wDy0BCu0eSvsZ\nWuEpGoVGKCi0BCh0MamjH4pVf87akdQGs0+j0BKg0MWk7u1A4NJG+nngJkTo7J3WKLQEKHQx\nqTtMvuj1VjqaCJ3aUm2BQkuAQhcTJjQ0/ku0T9Mlh7f/Jms8PSK6o01QaAlQ6GJSt29wsO/j\n2keiJtoQOjExMXFh0aCooHZF2k4hbodpu7lKHXsq3jYuaqINocmRkSXnxE5wRR7a/YFozEM/\nM2zJcffldaImmgsdWf22VUkNrnjHisJbVvAdK3MVYw3dqQV5TTQX+n8bomDrjjbANbQEuIYu\nJobQFxdEeU20KfS/l9KPChIV1CYotAQodDGhLwoH/7v8LdE+bQjd570UCoXCooLaBIWWAIUu\nJuxFYfWBiGifNoQ+yF4rbhXd0SYotAQotHtAoSVAod0DCi0BCu0eMA/9/9k7+7cmrrz//0vf\nf+D+eWIUMYqYLSoWqF2KVKtUFitKXVe2T1u31Vu7vWq53bZot7XIYq21W1R0rRQoGKm1WCzi\nAyAQkpCHz2/fc2bmnJkJCZxBTZj4fl17MZmZM0NwXp09gXfeUQBCewfcoRWA0N4BQisAoXPD\nuS2rgruuP945ILQCEDonfLW8dbDnrRW/OLdmjz5nBEIrAKFzQuUH/Ov29+2lL5YtAAAgAElE\nQVTb4nezR58zAqEVgNA5YbWu8s0Bq4DRf3mt3jJj9kPLvuiiq7vW1T04VFl6ipCH5kDopUiz\nf/9V/fPrLaErzozqQhv90LIXumhneKpqZVfqpD9iy0PP9DNGxh1M5NvgNMaVSaoPZT8mzbo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QgAOhFYDQeaKSJ6JTb6y5adsW0uY9BEIrAKHzhC70wcANWQTNlnOEfuWkvScaQisA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MGYfJYgtG3q1DfR7p0wC921JkL0uTJk5KDP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\nEDpYgNCWAEIHi8CFhjy0BiB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JoM7x6n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\nUYDQQEQBQgMRBQgNRBQgNBBRgNBARPH/qTmcUhfzk3cAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(ex1) +\n",
    "geom_bar(aes(x=reorder(country, -count), y=1+count), stat='identity') +\n",
    "xlab(NULL) +\n",
    "ylab(\"Log10(TB cases)\") +\n",
    "scale_y_log10() +\n",
    "coord_flip() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 6**.\n",
    "\n",
    "- - Make a bar chart of the number of *reports* (each row is a report) of TB in each country that begin with the letter A. Order the countries by number of reports increasing from left to right. Rotate the country labels so they are readable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "options(repr.plot.width=4, repr.plot.height=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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BLg8Ov2kcsazE68JAGObd2eLfgzTpUhSYBNXOv2bLF/hkyOhAE2sazbs2X/GTLx\nkgc4hnV7tthhauVIImA5sgSzqwQpYCSdi1ZJlwK2S8jaB08K2CJJax8cKWAkUWsfPClgUtLW\nPnhSwKTkrX1wpIBJCVz7YEgBk5K39sGRAkYStvbBkQK2SNLaB0cK2Co5ax8cKeAqlwKucing\nKpcCrnIp4CqXAq5yKeAqlwKucingKtf/A2iz9T7KLIrPAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "who5 %>% \n",
    "filter(str_detect(country, '^A')) %>% \n",
    "ggplot() +\n",
    "geom_bar(aes(x = country %>% fct_infreq %>% fct_rev)) +\n",
    "theme(axis.text.x = element_text(angle = 90)) +\n",
    "xlab(NULL)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 7**.\n",
    "\n",
    "- Can you display as proportion instead of count?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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01vkLbzTatop5P/ibZtbDpG2o43bSBt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\n/webQ3f4JQEMnQAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "who5 %>% \n",
    "filter(str_detect(country, '^A')) %>% \n",
    "ggplot() +\n",
    "geom_bar(aes(x = country %>% fct_infreq %>% fct_rev, \n",
    "             y = ..prop.., \n",
    "             group = 1)) +\n",
    "theme(axis.text.x = element_text(angle = 90)) +\n",
    "xlab(NULL)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 8**.\n",
    "\n",
    "- Add a label showing the first 3 letters of the country label on top of each bar, and remove the x tick and axis labels. Make the bars 50% transparent and fill by prop using a color gradient from yellow to red."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "ex8  <- who5 %>% \n",
    "filter(str_detect(country, '^A')) %>%\n",
    "mutate(country = country %>% str_sub(1, 3) %>% str_to_upper) %>%\n",
    "group_by(country) %>% \n",
    "summarize(n = n()) %>% \n",
    "mutate(prop = n/sum(n)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>country</th><th scope=col>n</th><th scope=col>prop</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>AFG        </td><td>244        </td><td>0.056286044</td></tr>\n",
       "\t<tr><td>ALB        </td><td>448        </td><td>0.103344867</td></tr>\n",
       "\t<tr><td>ALG        </td><td>224        </td><td>0.051672434</td></tr>\n",
       "\t<tr><td>AME        </td><td>172        </td><td>0.039677047</td></tr>\n",
       "\t<tr><td>AND        </td><td>387        </td><td>0.089273356</td></tr>\n",
       "\t<tr><td>ANG        </td><td>425        </td><td>0.098039216</td></tr>\n",
       "\t<tr><td>ANT        </td><td>346        </td><td>0.079815456</td></tr>\n",
       "\t<tr><td>ARG        </td><td>448        </td><td>0.103344867</td></tr>\n",
       "\t<tr><td>ARM        </td><td>461        </td><td>0.106343714</td></tr>\n",
       "\t<tr><td>ARU        </td><td> 37        </td><td>0.008535179</td></tr>\n",
       "\t<tr><td>AUS        </td><td>826        </td><td>0.190542099</td></tr>\n",
       "\t<tr><td>AZE        </td><td>317        </td><td>0.073125721</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       " country & n & prop\\\\\n",
       "\\hline\n",
       "\t AFG         & 244         & 0.056286044\\\\\n",
       "\t ALB         & 448         & 0.103344867\\\\\n",
       "\t ALG         & 224         & 0.051672434\\\\\n",
       "\t AME         & 172         & 0.039677047\\\\\n",
       "\t AND         & 387         & 0.089273356\\\\\n",
       "\t ANG         & 425         & 0.098039216\\\\\n",
       "\t ANT         & 346         & 0.079815456\\\\\n",
       "\t ARG         & 448         & 0.103344867\\\\\n",
       "\t ARM         & 461         & 0.106343714\\\\\n",
       "\t ARU         &  37         & 0.008535179\\\\\n",
       "\t AUS         & 826         & 0.190542099\\\\\n",
       "\t AZE         & 317         & 0.073125721\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "country | n | prop | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| AFG         | 244         | 0.056286044 | \n",
       "| ALB         | 448         | 0.103344867 | \n",
       "| ALG         | 224         | 0.051672434 | \n",
       "| AME         | 172         | 0.039677047 | \n",
       "| AND         | 387         | 0.089273356 | \n",
       "| ANG         | 425         | 0.098039216 | \n",
       "| ANT         | 346         | 0.079815456 | \n",
       "| ARG         | 448         | 0.103344867 | \n",
       "| ARM         | 461         | 0.106343714 | \n",
       "| ARU         |  37         | 0.008535179 | \n",
       "| AUS         | 826         | 0.190542099 | \n",
       "| AZE         | 317         | 0.073125721 | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   country n   prop       \n",
       "1  AFG     244 0.056286044\n",
       "2  ALB     448 0.103344867\n",
       "3  ALG     224 0.051672434\n",
       "4  AME     172 0.039677047\n",
       "5  AND     387 0.089273356\n",
       "6  ANG     425 0.098039216\n",
       "7  ANT     346 0.079815456\n",
       "8  ARG     448 0.103344867\n",
       "9  ARM     461 0.106343714\n",
       "10 ARU      37 0.008535179\n",
       "11 AUS     826 0.190542099\n",
       "12 AZE     317 0.073125721"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ex8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "options(repr.plot.width=7, repr.plot.height=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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7ZscVVgGCYnJ0eMoAEAAAAkRaTELisr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\n7AAAAABk4v8DH9R+SNI50QYAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ex8 %>% \n",
    "ggplot(aes(x = reorder(country, prop),\n",
    "           y = prop,\n",
    "           fill  = prop))  +\n",
    "geom_bar(stat = 'identity', alpha = 0.5) +\n",
    "geom_text(label = reorder(ex8$country, ex8$prop),\n",
    "          nudge_y = .02) +\n",
    "xlab(NULL) +\n",
    "theme(axis.text.x = element_blank(),\n",
    "      axis.ticks.x = element_blank()) +\n",
    "scale_fill_gradient(low = \"yellow\", high=\"red\") +\n",
    "guides(fill = FALSE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 9**.\n",
    "\n",
    "- Make a bar chart of counts for male and female side by side with countries starting with A on the y axis\n",
    "- Set the fill of the bar chart to pink for f and blue for m\n",
    "- Add a meaningful title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "options(repr.plot.width=6, repr.plot.height=6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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y9atGjXrl2xsbGFhYWbN2+ePHlyenp615YCgUA/uEyaNGn58uWHDh2KjY398ssv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\nAMYhcAAAAADjEDgAAACAcf8Pvmg1iuuR70MAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "who5 %>% \n",
    "filter(str_detect(country, '^A')) %>% \n",
    "group_by(country, sex) %>% \n",
    "mutate(count = sum(cases)) %>%\n",
    "ggplot +\n",
    "geom_bar(aes(x=reorder(country, count), \n",
    "             y=count, fill=sex),\n",
    "         position='dodge', \n",
    "         stat='identity') +\n",
    "scale_fill_manual(values = c(\"f\" = \"pink\", \"m\" = \"blue\")) +\n",
    "labs(title=\"TB cases by region and sex\") +\n",
    "coord_flip()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ex 10**. \n",
    "\n",
    "- Make a grid of plots where each column is a different sex), each row is a different country starting with A), and each subplot is a plot of trend over time. Allow the y - scales to vary across plots.Make the fitted curves for each sex have a different color."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "options(repr.plot.width=6, repr.plot.height=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`geom_smooth()` using method = 'loess' and formula 'y ~ x'\n"
     ]
    },
    {
     "data": {
      "image/png": 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lByp8yulS5Ntcl5j7FkyZJut2/btm2Aa5J/MOAYpjJaOYrz4sbDow/U0aQb4brT\ndXLuZ9tHj0373znvOBBCOXTo0KFwOHzW4r8wzN8YVuzy6S4jCSxXpK9IlxJGD5Ie46mnnkr8\nrOv6sWPH3n333ZqamhxWKW9gwDHsZLhIpbOtdeyH77uaL1zaREhbWfnpys8YSpqBjUHScSCE\nBp7dwzgcjiNAfhYz3jZM4/I/KCZkqUxvlFmiHxlUPcbMmTOTX1ZVVc2fP3/9+vUPP/xwjmqU\nPzDgGEYyDDVYPD7qQJ2/6UhyWnnNU3Dyqs+GRpSm/fdB1XcghAaM3cNYADtM69VgZJfeKdKA\nYkK+KbOvyTQxyXxIdBelpaX2c7yon3IfcPz6179+6aWXEi8ZY6+//joAmKZZW1u7c+dOwzCq\nq6tramrsNV562o5SyDDUIJZV8nHDyIZ6lnQPhVN6Ycr089NnW+mWshgSfQdCKLsS3csFi28x\nrNdN66zV+Wnh0QRukdnfyswONQZzXxEMBpNfxuPxLVu2YP62rMh9wHHq1Kl58+Z9+ctftl8m\njuvGjRt37tx55513SpK0bt26tWvX2oux9LQddSvTLF+cF506MWr/h0qoPXlzuGRky+c+35ru\nqdfB3H0ghERI9C0a5zst/qZu7TStrssBVVByq8z+T8dcjcHfV9x0003xy9cTkmV55cqVuapP\nPhkUAcfChQvnzp2bvDEajW7duvXee++trq4GgDvuuGP16tXLli1TFKXb7YWFhbmp/SCWeahR\neOZk6f46R7AtebPudJ6ZNbdtfLnb44GeV+Ua/N0HQiiLEh2LxaHOst42rG2mFeyy/hkFWKQq\nNxE+r+Nh16HSV2zatKnTem7FxcXilnwdVgZFwFFXV/faa6/F4/GpU6d+5zvfGTt27PHjx2Ox\n2Jw5c+y/qaysNE2zsbHR6XR2u72qqip372DQyTx3uefc6VH761ytzckbLSZduHL6hYoZVrpV\n4YdKD4IQ6qdEr2IC/MW03jH5dsO62N1Cq0WEfEWi33A7J6hKOBzmnA+tjmL06NHdbg+FQuFw\nuLQ0/Tw21JMcBxzBYLC9vZ0QsmLFCtM0N2/evGrVqmeffba1tVWSpESeUkmSPB5PS0uLy+Xq\ndnuiwO3btz/44IOJl88995w9FpKCLMslJelTm/aHy+USWr7P57N/OHToEAB4PJ60/+I4f9a/\n5z3HuTPJGzml7VOmtVZeZbrcyTXuWuC0adP6V+XLOJ1Op9OZxQI7SbHId7aIPk3Mcf8AACAA\nSURBVIWyW76qqpmcJKLflOhvjQUFBULLLy4uFlq+oiiiD0GKXNDQ0Z/YDJf7f+PaHzXjfzUt\n0GWKBgBQgM8q8tec6vWqrBAC2e4lutWH9rl48WLqP+hpHY6vf/3rv/zlL7dv397bPaKEHAcc\nbrd706ZNfr/fnroxadKkpUuX7t69207l0OmPTdPknHe7PfGz1+tNPssdDodhdJ4pnczOJ5mV\nRCTdsjMYics0aGdgMk2zoaEhw39xXDzvr/vAdflCXkBI+4TJLXOu0r2FAABJFe6UKfHKK68E\ngNStmjlCCGPMsixxTUQp5ZyLyxpqH4JsNUhXhBBKaR9O0RRpCznnqSs8aN9UhuzkcHaPIWgX\njDFx9YccdU0fffRR8ksDYJ9u/Fk3/qQZ+3Wjp0t0isS+rMpfciij7FR5nE+pqLDTJYo7hUDY\nIUheh6PT7kaNGpX13Q0rOQ44GGPJ3xLcbndpaenFixdnzJih63o0GrW/+Nr51UpKSlwuV7fb\nEyXMmzfv5z//eeJlIBBoa7tsakIyQkhxcbFhGIFAQMjbG5DkbY2NjZFIJJMPbFdr88iD+wrO\nnOy0PThm/NkZlbFCHwBAl6q63e5E/cvLy1O0Zx/IslxYWBiPx4du8jafz0cpzW6zJLOTt3Wa\nOZ+JFF/+NE1LnbzN5/MRQsS9KTt5W3t7e/o/7ROn0+l2u8PhsLjjXlRUFAgExCVvKy4u1nW9\nD8c9Q4nkbZ3uwBoAB03+oWX9xeR1Fo/2/AYnUnK9RJcwWk4JgAWxWGnHrZO2tjav16uqajAY\nFPddwufziThFZ86cuWfPHkmSKisrY7HYwYMHx48fP2LECBiQMZv8luOAY/fu3S+99NJjjz3m\n9XoBIBaLXbhwYdy4cWVlZaqq1tfX2zdEDh48SCktLy9XVbXb7bl9F7nS1NTkcDhSfJFNcLW1\njDywt+DsKbi8+wiVjjk7ozLiTz8sOWwbGaF8kggv7NUE7GTarRwOWFa9ae214KDVeUnQZBRg\nFqMLGfk8o2V0iM0GzdDmzZtfeOGF7373u5WVlQ888EBDQwNj7NFHH7366qtzXbUhL8cBx4wZ\nM9rb25988skbbrhBUZRXXnmltLR03rx5jLElS5Zs2rSpuLiYELJhw4bFixfbMxV62j6sZD4t\n1NVyceTBfQXnTncKNcIlI8/OrAqXjMykkDzrUBDKrsyvx55k/RJLXaXTnB/TzcOWdVAzPuL8\nTHdzMpIVEzKf0asZ+SyjhR33tPO1W/jNb35z991333jjjfX19ceOHfvVr3713//935s2bcKA\no/9yHHC4XK5HHnnkZz/72eOPP66q6pw5c+677z775t/y5cs3bty4evVqy7Lmz5+/fPly+196\n2j5MZN61uS+eG3mo3nv5tFAAiBSPODt9dqh0TCaFlJeX+/3+5Gm5CCEA+Oijj6LRaLZuqXS6\nrgkh58+fNwwj9Z2vTGicn+FwgvPjFj9m8UYOTZYV5gCgp/5HLyFzKJnHyGcYnUQvTZ3L1zgj\n4eLFi/aDkNu2bVuwYEFpaenixYvt5ShRP+X+sdgrrrji0Ucf7bqdMVZTU9M1ZU5P2/NbL75C\nce49e7r0o/2ui+c7/SbiLzk3vbJ9VEahBgyDngWh3kpcicmPnoU5HLb4Mcs6zuEc580WbwPQ\nAXTOYwBeQgBABXABuAkUAimkpACggEAhIV4CHiBOAm6ARMpUQsAyzLBhhixuP0biASggpKC7\n5S7jAC0WbwZosXgrwEXOWzmcs3gL52cBLlq9iIlKCKmkZA6jVYxMJoQm7W749AY+n+/MmTPl\n5eUffPDB0qVLAaCurm4YjqOLkPuAA6WWeahBOC/85NiIjw44A62dfhUpGXlu2uz20u6fL+9q\n+HQuCGWi62V41rL+Vzf3mNZ+ix+3eIqJkcHOn/gcMnm0ItL9dFcvIW4C9qqdnEMbQKQfoyxe\nQioITGV0JiPTCRlNL4tohmc/cO211z733HO/+93vwuHw4sWL//jHP77wwgt33XVXruuVDzDg\nGIx6e0uYGrq/8UjJ4YNKpPOzHqERo85PnxUakenTXMOzi0GoW52uRI3zDy34k2ntNK0TYVHP\nv6TWznl7XwMMBaCMknJKJlFypSxPYWRkl8dKsQdYvny5qqqNjY0/+MEPVFWdMmXK2rVrZ8yY\nket65QMMOLLM7qH6cNH2bd6ZFAn7jxzyfnSQaZct/g+EBEeNPT91ZqR4RIZFYUeDEHR3JbYD\n7DDMHSb/s2GlfcC9hJAiAj4CBXBptIATCHEIcR7hPAgQ5CBweQoABuCnZATACEpGEzKGwHhK\nywiMoSSRgFGWGQDopgl47V9OkqRvf/vbiZdjxowZM2bMHXfc8fzzz+ewVvkBAw4hkp89I4SI\nWAzA1Xyh5OOGwpPHyeUDqpyQtvETLl45M1pYlGFR2N0g1DXOuGDxdy3+jmHtMa2e4gMKUMHo\nTEqmUzKZkjICrszSioY5BAEClhUC0s55GEDnPApgAKhAVAJOVXVyy35sNc55CEjQ4iGAEEA4\n6aESJ4FiQvwEfISUEOIj4CekiEDqSpSXlyfW4ciktsPKW2+99dZbb3VdEu2ee+4BgH//93/P\nUb3yAQYcQwwxzaKTx4uPHHK1dX5yxJLklvLJFyZP1d3pV622YaiBhrNuhxWPWnyHab1r8oNm\nj0tWXUHJIlWp4mYVpe4+5S13E3ADjGb2PNHORRBC3E7VMIxYN+lXewev8d5at27d5z//+bFj\nxyZvrK+vX7BgQa6qlDcw4Bgy5HCouPFI8bGPWbzzk3KGy3Vx0tTm8immomRYGnZDaHjqNsgI\ncdhjWu+Z1p9NfrqHOZgMoIqRRYwuZHQsJS6Xs6fHYnt1cQ3CNTyGuTlz5tTU1HRKNrRnz56b\nbropV1XKG0RcroHBQNM0O2VAT7KesKBTMgI780u/Gplz1+lPCg8fcnW5ewIAsZKRwemz28vK\necq3mcxOhpI5SZKE5tTAXCqpicilkva6GLRvKkOdcql0uiptZy2rTjP2GuYew2zoOVGIg8A1\nsny9Kn9elQuSbpcQ8mnn2dsLKkP5keZpEOZSaWtrS7uwUH19fSQSqaysdDgc3SbwSqGioqK3\nVRo+8nyEIx6PpzjjCSFFRUWGYYRCoWztsdNCPZIkEULsG7G9JcWi/qaPfY2H5XDn6nFKA+Mm\nNE+ZZo4eI0lSLLMFiCZOnAgAvU1gUVhYKC7nhSRJXq9X0zRx95Lt/Dt9OwSZKCgooJSKayLG\nmNPp7MMpmmLlAF3XU88rKiws5JwLPe6qqopLoONwOI4dOxaPx5M/kAyAQ6ZVb/F9hrXPNM+n\nvGIKCSyQ2OclejVjDgIAFsQvDS1OnDixoKCgvb1dUCuJ6Jo6UVWVENL/hcV64na7FUUJh8Pi\nYhpBXdOLL75YW1vrcDgmTZr09NNPv/rqq++8886qVavGjRuX9X0NN3kecFiWlSIETsStWfwa\n0enqsuOAXl1yhHPvudO+xiMFZ052HdLQnc6WiRXN5VMMhxMAHB17Sb0Le9C1z29T9Ncsod/k\n7MYRmtgTRDaR/U06u+WnLdD+Vif0uIs46MmTtVVV5ZwHTHOfyfdZVp3FD5o8nvr/ASZTcjWj\nCxitZOTTISBu2XM0k+9c2GMn4rLRJkZGxR0Cy7KEHmK7ZUzTFBdwCGqfN998c+XKlYsWLVq2\nbNmBAwcWLVr03nvvPfPMM0888UTW9zXc5HnAMbSooaDv2FHf8aNy16/7hIRGlDZPrAiOLeO9\nGd/D+7soj3U7AeI8h32aUa+Zu2PxxpRLctnGUTKX0bmUfIaSEbTzxYVX0HBjGMb06dMVRVmw\nYMHRo0dnz5592223PfTQQ7muVz7AgCP3mK4VnjzhP37U1XwBunxhMlW1pWxiy6SKuKcg8zKx\nl0T5qmuQYXFo4nyvxfeaVp2VPhWZk5BplMyiZCYlsxj1dxfA4xU0bFVVVdXV1Y0ZM2b27Nk7\nduwAAEqpuHGaYQUDjpwhluU9d7roRFPB6U9o14FBQkIlpS3lkwNjyzhj3RXQPewoUT7p6SGO\nGIeDlrXXgn2Wtc+w0t7JH0GgktHZlFQyWpG0/lUyvHYQANx+++33338/ABBC3n///W3btm3Z\nsmXKlCm5rlc+wIBjwHHubj5fdOJY0cnjnZcHBQAA3elsnTC55YpJmsfbq4Kxu0RDUebPhZ7h\nsM+06k2r3uKHLZ767j0BmMhoJf00G9noHu5D4lWDOlm3bl1ra+v69evtl2vXrh09evSKFSty\nW6v8gAHHQOHc1XKx6OTxwpPH5Wg36yNblAXHjm+9YmKodEyvZmlMmzattbVV9KRIhPqjU1TB\nGJNlOe0jEvHEcyUm32/x5nQzNGUC0yippPQqRap2uRxaNw+pYYSBUjNN8/nnn7ef6UPZhQGH\nWIRz14VzJceOFp460W2cAYSEi0e0XjExMPaKzJftspWXl3u9vRsFQWiQO8Oh3rTqLWu/xT8y\nedplHLwAsxmZTekcRqczogIAgCxLKiWJcAaDDJS5xx57LNdVyFtDL+AwTbO2tnbnzp2GYVRX\nV9fU1MiynOtKdUZNw3PuTMHpk4VnTnZdGNQWKyxqGzehtaw885XIbdh7onwSAThk8XrTOmDx\n/Wb6YQwCUEbJLEpmUVLJ6ARCujxZAlOmTHG73cFgUEQaI5TflixZ0u32bdu2DXBN8s/QCzg2\nbty4c+fOO++8U5KkdevWrV271p7gMxiQ9nZ/45GCs6c8585Qs/vvZnGPt23cFYHxE2KFPa7L\n1BMMNVAeMAA+Mq2PLH1v3Dhg8WMZPLnqApjByGxK7edKCvC5EiTMU089lfhZ1/Vjx469++67\nNTU1OaxS3hhiAUc0Gt26deu9995bXV0NAHfcccfq1auXLVtWWFiY66oBADi3/Jfn5IlufxX3\nFgTGXREYWxYt8ve2WOxJ0ZBmcWiy+EGLH7L4QYsftriWwXpZiWGM2YxOpKTrSux4XSARZs6c\nmfyyqqpq/vz569evf/jhh3NUo/wxxAKO48ePx2KxOXPm2C8rKytN02xsbKyqqrK3nDhxYvv2\n7Ym/X7Ro0ciRI3sqzV7Oj1LqdDqzUj0ydQYkBxyExHzF4bLywJhx8Y7xjF7d/kn7LBZjDAAc\nDoe4x8QJIdlqn67s+kuSJG4X9uryrDePFveKfRaJqz+l1F7dPItlpi3QXgE2Wzt94vTZH0XT\nLy3vJjCTsdkSm8nIbIkVdTd1OsOnE+3brIqiiDvudr8hdKXRrB/3ZKLvRCe6JnFpjPrWNfUh\ni0Jpaenhw4d7+1+oqyEWcLS2tkqS5Ha77ZeSJHk8nuRMPEePHn3mmWcSL6dNm5b2axBjLFFg\nP/HZVdq233MmRUeNiZRNCI+7wuyYn6H2sqhp06Zl/sfieiVbttqnJ7IsC+3+7Mwd4soH8U2U\n3fIlScqkwbO106uL/XDqbDfVAKiQpdkSm6XIsyVWzljX2RjQy2shmcPh6Ns/ZsjlcgktP4td\nU0+UXk5U7y3RTdSH9kkbcASDweSX8Xh8y5YtvcrfhnoyxAKObhP3JT8ROmPGjMcffzzxcuzY\nsSmy+xBCPB6PaZqRSHfPj/SBy3128V9FRpZa7NOGZbre25SJkydPhoxTrDkcDlmWhWZI8ng8\n4jJIMcZcLpemafF42jQXfeRwOAzDEJe10u12E0LENRGlVFXVPnwtS/EEk67rqR9Jze6bmtZx\nyRKAKxidTskMiVWqyiRudYSBFhiWZlw2CmJfCND7dIMAoCiK3WjijrvL5cpav9GF3TUZhiEu\nqaEsy4QQcZNqnU6nJElCuya32y0i/99NN93UqTuSZXnlypVZ39EwNMQCDr/fr+t6NBq1v9Ob\nphkKhUpKShJ/MHLkyOQ5xoFAIMUnmX1VW5aVxU+7thGlwAE6ujlCSOYBhz0Y06vK2F9QNE0T\ntw6H2+0WFw3Y37NN0xS6i7TJUfvD5XIRQsTV3x6N6EP5KQKOtOe8/cU0W2/KA7BClcoJTKPU\nQwDsdTgYjcW0rhdGYkiyP3u3ozShx93pdGqaJu6WSta7pq67EHreKooiSVI8HhcXcLhcLhH1\n37RpU6fDWlxcLHqIdJgYYgFHWVmZqqr19fX2pNGDBw9SSvNg7lgevAWEUrhJ6jrp8zJ4CaBB\nYvTo0bmuQt4aYgGHy+VasmTJpk2biouLCSEbNmxYvHixz9fr50sHD+xn0XCG5z9Cw8cQCzgA\nYPny5Rs3bly9erVlWfPnz1++fHmua9R32NuiYauioqIPkzMQQkPX0As4GGM1NTVDfRkWDDXQ\n8GSf+YNwdWCEkGhDL+DIAxhtoGEIT3uEhjkMOAYU9rloeMIzHyGUZuo4yiLscxFCCA1bOMIx\nEDDUQAghNMzhCIdwGWZ/QAghhPJYno9wpE7dZK+STgjJ4pz5Tnu88sors1t+J3aSLUmS7B8E\nEVd/SZIAgFIqtIkYY+LKt88iceUzxrLePmkLtJehHFpvqlP5ACBJktDMYbIsC03eJrqJBqBr\nkmVZaF7JPtRf19PnEUSC5HnAkUlWMEppFpM8JXZXUVEBHR2fuMQ/9lWtqqrQjlVcEqxEwCRu\nF3bHakc2ItifzeLqTwjJ7ikKAIyxTGJxocedMSb0oAOALMtCs8WKXu4668c9meiuyS5/EHZN\nGHDkUJ4HHLFYLMXpRQhRVdU0zSwuQGTnxCovL7fLdDgclFJxSZ68Xi9jLBwOi8ul4vf7xS3Q\nJMtyYWGhpmkikjDZPB6Ppmnicmr4fD5KqbgmkiTJ5XL1ofwUH4dpk7f5fD5CiNDj7nA4xJVv\nZw6LRqPijntRUVEoFBI3wqGqqmEY4prI4XAQQsQlh/N6vaqqhkIhcSMcPp8P144bWnAOR/bh\nFFGEEEKoEww4sgyjDYQQQqgrDDgQQgghJBwGHAghhBASDgMOhBBCCAmHAQdCCCGEhMvzx2JT\n45xHo1FxD5QCgGEY4p50BwBN0yzLEvfgGQCIe3AOACzLikajQp+M1zRN6CGOxWJCD7FlWeKe\n7eyJ6DdlmqbQN2UYhuhLOx6PiyscAPKjaxK3CAd0rEGAhhAi9IRACCGEEAK8pYIQQgihAYAB\nB0IIIYSEw4ADIYQQQsJhwIEQQggh4TDgQAghhJBwGHAghBBCSDgMOBBCCCEkHAYcCCGEEBIu\nz1caDQQCKVaxJIQUFxfruh4IBARVwOFwUEojkYig8r1er6qqra2t4hYl9Pv9LS0tggqXZbmw\nsDAajYbDYUG78Hg8mqaJW9fS5/NRSpubmwWVL0mSy+UKBoO9/ceSkpKefhUKhVKv0ujz+Qgh\nQo+7w+Fob28XVL7T6XS73cFgUNxxLyoqCgQCghZOtLsmTdP6cNwz5HA4CCHi1hG2u6aWlhZx\n6yD7fL7W1tY+/KO4ExsAKioqxBU+1OEIB0IIIYSEw4ADIYQQQsJhwIEQQggh4fJ8DgdjLMVv\n7WSJhBBZlsVVQGj5lFIAkCTJ/kEQcfWXJAkAKKVCm4gxJq58+ywSegplvX3SFkgIEX1dCD3o\n9oUvSZK45JR2+4ibwwGCr4uB6ZpkWRY3h6Nv9ReamxqllucBhyRJ9kdaCpRSVVUFVcC+qgUV\nDh1XtaIoQjtWce1j158xJvQQQLrQsz/sz2ahTZT1UzRtgfZJO7TeVDL7qhcaiNv1Fx1wYNeU\nQt+uOww4cijPA454PJ76KRWHw2GaZigUElSBAXhKhTEWiUTEPaWiKIq49pFlWVEUXdeH7lMq\nsixTSsU1kf2USh/KdzgcPf3KMIzUT6nIskwIEXrcHQ6HuPKdTqckSbFYTNxxlyQpFAqJCzhU\nVTUMQ2jXJPopFcZYOBwWN8Ihy3Kn9mlqaiovLxe0O9R/OIcDIYQQQsJhwIEQQggh4TDgQAgh\nNOQ1NTXlugooDQw4EEIIISQcBhwIIYQQEg4DDoQQQggJhwEHQgihoQ0ncAwJGHAghBBCSDgM\nOBBCCCEkHAYcCCGEhjC8nzJUYMCBEEIIIeEGby6VkydPbty4saGhgTE2a9asZcuWlZSUAIBp\nmrW1tTt37jQMo7q6uqamRlzCQ4QQQghlxSAd4dB1/dFHH1VV9dFHH/3e97538eLFxx9/3P7V\nxo0bd+zYcfvtt99zzz0ffvjh2rVrc1tVhBBCuYL3U4aQQRpwNDU1nT179q677po8eXJ1dfWt\nt956+PDhWCwWjUa3bt26fPny6urquXPn3nHHHTt27AgEArmuL0IIIYRSGaS3VCZPnvzKK684\nHI5YLHbmzJk//elPU6ZMcTgcDQ0NsVhszpw59p9VVlaaptnY2FhVVWVvOXDgwM9//vNEOd/6\n1rfSZitmjHm9XkFvhDFGCGGMCSpfkiQAcLvdgtJkAwAhRFz7UEoBQFEU+wcRJElijKmqKqh8\nSqnoJsr6KSrLcuobkfbhGFpvKpl9xTmdTnHH3a6/uOsOACRJEt1Edgcign2CeTwecU1EKfV6\nvQ6HAwB0Dt8LRa6TpbudzqKUb6q9vV1QfVBagzTgoJTap9HDDz988OBBj8fzxBNPAEBra6sk\nSW632/4zSZI8Hk9LS0viH8+fP79t27bEyxtvvDFtj0MpFdcr2cQFHDZFUYSWPwDtI7SJRLc/\niG+i7JZPKc1k5tPQelNdiZ7dJfq6G4CuSVzAYRPdRI2NjfZb+ENc36kZOzXj3/bs+9X0ihtK\ninv6Fww4cmiQBhwJK1eujEajb7/99g9+8IP/+I//4JwTQjr9jWmaiZ8/+9nP/uY3v0m8VFW1\ntbW1p8IJIUVFRbquh0KhrNc8UQFCSCwWE1S+2+1WFCUQCFiWJWgXhYWF4m5a2d/h7Jtlgnbh\ncrl0Xdd1XVD5BQUFlNK2tjZB5TPGnE5nH05Rn8/X0680TUtdYGFhIQAIPe6qqobDYUHlOxwO\nu9GEHvf29nZBX98HpmsCgHg8Lqj8AeiaCgoKIpGI/fOrUc3+QbOsyZaZottHOTRIA47jx483\nNzfPnTvX6/V6vd5bbrnlN7/5TX19vd/v13U9Go06nU4AME0zFArZT6/YnE7n2LFjEy8DgUCK\nHicRuySHLNllWRalVFz5dn9nWZa4XYDI9rGH7jnnQptIdPuAyCYihGS9fdIWaEf2Qo+70INu\nf8gJPe52/cUFHCD4urAsS+ghtlvGNE1xAQd0HOhmzt8zPt3L5z3uUSK7XNQfg3fS6Jo1axIn\nTSQS0TRNkqSysjJVVevr6+3tBw8epJSmnaWBEEIozzQ0NNg/bDGsRHzxD77CXNUHpTVIA465\nc+dalvXMM898/PHHhw4d+slPfjJ69OgZM2a4XK4lS5Zs2rTp6NGjjY2NGzZsWLx4cYqhY4QQ\nQvnttx3DGwUEvlDgyW1lUAqD9JZKQUHBQw89tGnTplWrVqmqOnPmzLvuusu+6bh8+fKNGzeu\nXr3asqz58+cvX74815VFCCGUG/tMfsz69MbWX0tM7TLJDw0egzTgAICKioof//jHXbczxmpq\nampqaga+SgghhAaDpqYml8sFAG8al6ZrfFkapGP2yIaHByGE0JAUAdjacT9lMiXTKA5vDGoY\ncCCEEBqS3tLNSMfPfysJX24H9RMGHAghhIaSRP6U/zY/nb2hAnxRxo+zwQ6PEEIIoaGnXjcb\nzE/vp/yVRLO1CPyaNWv27dsndNH6YWvwThpFCCGEOkkMb7wSu7RM6v+Xvemiu3bteuONN0aM\nGHHdddddd911FRUV2SoZYcCBEEJoiAlxeCv+6SrSkymZybIWcPzyl7+sq6v7/e9/v3nz5s2b\nN48bN+7666+//vrrx48fn61dDFsYcCCEEBpifmeY0Y67Hl+TszldlBBSVVVVVVW1devWBx54\noKGh4bXXXqutrZ0yZYo95jFy5Mgs7m5YwTkcCCGEhgb7fgoH+K+Op2FdhHwhe8MbnVx11VUP\nPvjg66+//sQTT0yePPmll166+eabBe1rOMCAAyGE0FCy27SaLq0uSt2CV984ceLE4cOHm5qa\notGow+EQu7O8lue3VCiljPU42pbIFpvib/pfAUKIuPLtt2DnXBVHaPsAgOgmSn0aZMXQOoXS\nFmifV0PrTXUqH9Jd/v1k119otljRTTQAXRNjjGR1rXH7yG6OX1pd9CaZJXeAad9RrxLJ1tbW\n7t+///Tp06qqzp8//+abb7766qt7WWV0Ccnvh380TUv9YSxJktAc0PbexSVotq9ncWmyAUCS\nJMMwBBVud3mWZYlrIjsTurj2sQ+B0CaifUq3LUk9fp1Ie10M2jeVIUqpXb7Q4y40B3p+dE3Z\nPYU++ugjAPjEtL7UErTr/VlF2lB4KVvblVdembaQtra2lpaWFH9w+vTprVu3vv3226dPn5Yk\nqbq6+tprr73mmmucTmcmlcSnWlLI8xGOaDSq63pPvyWEFBcXG4YRCAQEVcDhcFBKI5FI+j/t\nE6/Xq6pqMBgU1zH5/f62tjZBhcuyXFhYGI/Hw+GwoF14PB5N0zRNE1S+z+ejlIprIkmSXC5X\nMBjs7T+WlJT09CtN02KxWIr/9fl8hBChx93hcLS3twsq3+l0ut3ucDgs7rgXFRUFAgFxIxzF\nxcW6rvfhuGfI4XAQQqLRqKDyE11TFmMauyOt1cxEiX9HILl3zcoZe8sttzDG5s6de+utty5c\nuNDjwfSzWZPnAQdCCKE8YE8XjQBs6cjWNpbRBUnLb5SXl2dlR/fff//ixYsLCwuzUhpKhgEH\nQgihoWGLboY6BpW+4VAoZP+W0Je+9CVIOdVD9ISwPIYBB0IIoSHAAni542lYJyFfc6rQcUso\nW8MbALBkyZLUf7B9+/Zs7Wu4wYADIYTQoGbfT/mDYZ3seBr2yxL1EiJictwLL7wgoFQEgAEH\nQgihIeEl/dPbHBTgGwJmb9hkWU49pRr1GQYcCCGEBi97eGOXaTV0DG8sYXQcFbXa14YNG3bv\n3p3i8Ua8pdJnGHAghBAa7H6uX5ofeqssangDAL761a82Njb+4z/+Y1VVLsEkOwAAIABJREFU\nFQDU1dW98MILDz744OzZs7O7o2EIAw6EEEKDlD28ccTiuzpW35jPyFRhyVMAYMOGDXffffc1\n11xjv1ywYAEh5Nlnn8W5Hf2HAQdCaHixP8P6Juvfp1EmNmpmYoW1byblhhVxOM6cOVNUVJS8\nxePxnDp1Kus7GoYw4EAIDW1dAwhZllVVjcViWV+dPbEvl8sVjUa7rjSKEUkW2a191OLbO4Y3\nplJSLXJ4AwCmT5/+i1/84qGHHlJVFQDi8fivfvWrSZMmCd3pMIEBB0JoCOjPsMRASq4nBh9Z\nsSFpLfPvJA1vTJ06tbW1Neu7u/fee++5555/+Id/mDVrFgDU19fH4/E1a9ZkfUfD0OANONra\n2jZt2lRXV6dp2pVXXvmtb31rwoQJAGCaZm1t7c6dOw3DqK6urqmpkWU515VFCGXBUIkqMpR4\nOxh59IHdeo1JwxtXUrJIEju8AQBjx479xS9+8dZbbzU1Nem6/vd///d/8zd/gyudZ8XgDTie\nfPLJYDC4YsUKVVVff/31lStXrl271ufzbdy4cefOnXfeeackSevWrVu7du3999+f68oilG8a\nGhrSZtTL8HO0axjBGBtWqx3YLYBhRx/8h35peKNGZolnYYU25pEjR0aPHv2FL3zB4XBwzgkR\n9QjucDNIA47m5ua9e/f+5Cc/mTp1KgCsWLHitttu27Vr16JFi7Zu3XrvvfdWV1cDwB133LF6\n9eply5Zh+InQwMuzAQnRcMAjc3ZbfWzx7R1rmU9ldGHH8IbQBnzxxRdra2sdDsekSZOefvrp\nV1999Z133lm1atW4cePE7XSYGKQBh2VZ3/jGNxLzdAzD0DTNsqzjx4/HYrE5c+bY2ysrK03T\nbGxstB+YBoATJ04kr8qyaNGikSNH9rQXO26llDqdTkFvRJZlQoi48u00Qg6HI4s5oDsZgPpL\nkiRuF5IkEULE5VuyzyJx9aeUMsayW37aAimlACDuZiWllFIqrnz7cDPGxH03JYTIsty39PQn\nT54EgClTpqQoHDI4TP0h+k50omvqWxPZ1XshHEv0a3c4FKVjAofdLH3rmqId6Vd68uabb65c\nuXLRokXLli07cODAokWL3nvvvWeeeeaJJ57o7b5QJ4M04BgxYsQ3vvEN++d4PP7UU095vd4F\nCxbs379fkiS3223/SpIkj8fT0tKS+MejR48+88wziZfTpk1LGwszxhIFCiL62hbXK9kGoH2E\nNpEkSfaEc3FEN1F2y5ckKW2DE0JEN5ro8kVfd4qi9OffT5w4AQDTpk3r6Q8GoGvq51tIy+Vy\n9eG/Dh06pKrqB5rxx461zGdK7P94XHbwmNxifWiftAGHYRjTp09XFGXBggVHjx6dPXv2bbfd\n9tBDD/V2R6irQRpw2Djn27dv/8///M/S0tI1a9Z4vd5ub6cl5xGurKx87rnnEi/Hjx8fCAR6\nKp8QUlBQYBhG2nvVfaYoCqVU3L1ql8sly3J7e7u4EY6CgoJgMCiocDt8jMfj4prI6XQahpFi\noeJ+8nq9hBBxTcQYczgcfThFU9xn1HU9EkmV98q+1sQdFEqpJEmapmWxzAhAwOIBzts5RCiN\nMhbQ9Ci32jnonEcBNM5jHACAEwh1+tbNubejY3FTwgCcAAqAh4CLEDcBDxAvIYWUFAAUElAI\nUVVV07S+fX1P9pe//MX+IfnBy4Hpmggh8XhcUPn96Zqi0SgH+En4Ut3uVqRYR6CQ6NK9Xm97\ne3tWapusqqqqrq5uzJgxs2fP3rFjBwBQSsV1sMPK4A04AoHAE088ce7cuaVLly5atMiOM/x+\nv67r0WjU/k5vmmYoFCopKUn8l9/vt6d3JApJ8Uljl8k5F/dpxBgTWr59GRiGkRx1ZZfQ+tss\nyxK3C1VVhQYcdhAstPyst0/aAu3PUXEnlb2L3pbfwuE85+ctfhag2bIucGgFuGjxFs7bAPT+\nfvT3gpvAiHDcBzCCQDEhpYSMJDCSkPGU+Pp6D+fw4cPQMTvB7pqEXhf2/SbRXZOu6739qLZn\nb/yPae3vmC36OUbnkk/PlvLy8kSdBXVNt99+u/0gAiHk/fff37Zt25YtW1Lc/0KZG6QBB+f8\nkUce8fv9zzzzTPKgXFlZmaqq9fX1dlRx8OBBSinOwEIoz5zj/JjFT1j8JIcTlnWaw2mLi/oy\n3nthDmHTOtbdr7wAEyiZyuhsSiopGdXLHGP2xy0hpLi4OAsVHZp0Ds9plxLD3q18OnVjYLr6\ndevWtba2rl+/3n65du3a0aNHr1ixYgB2nfcGacCxb9++o0eP/u3f/u2RI0cSG8eOHVtSUrJk\nyZJNmzYVFxcTQjZs2LB48WKfz5fDqiKE+qmd88McPjb5x5b1MedNJk91v6dPnIRInMsEnEn3\nZBWATjd14hzinBuERPt6r6QdoN7i9Zb5KgAAjKPkGkYWMDaXErk3scehQ4cMwxg9enTfqjFE\n2fHWq4b5SUdi2C9JdLKwxLDdMk3z+eefnzhx4kDudJgYpAFHU1MT5/zJJ59M3vjd7373S1/6\n0vLlyzdu3Lh69WrLsubPn798+fJcVRIh1DcRgMO6UaebB03ewPkpqy+f7k5CRhDwEVIEUEyg\niJBCAoWEeAkUSbJfVSRNU03DSUjf5qZGAOKcRzi0A4Q4tHMeBAhyaOZWGyftlJ41zWbLaklZ\n95MW32zxzbrlJWQxI0skWs1o5t3usFrAw36zFzn/j465oirAd5VPW2vAGuGxxx4bmB0NQ4M0\n4LjhhhtuuOGGbn/FGKupqampqRngKiGE+uMc538xeb3F95rWUUvL8MY+ARhJyFhKxhAYTcgY\nSkYSGEFI6eVjFZ3IElUlFjOIYfX9y7ELwEWS52QkfqKQlEvFALjA4Rznpy3ruMVPcDhq8eNW\n5xGSds63GHyLYfkI/LXEvtiblKfDKuz4d80Md7TdbQobOeBrbi1ZsqTb7du2bRvgmuSfQRpw\nIITywFmL77H4btP60OJnMhjGkAAmUDKRkgmElDNyBSHjaR/HJwaMBDCawGhC5tBLa70EOOyz\nrD2m9SeTH7/8jbdyeFk3X9ZhMiVfkejfSLQos8VCmpqa8jjmsIOqv5jW/+tY6WssJbfJAzp7\nw/bUU08lftZ1/dixY++++y5+xc0KDDgQQtkUAdhtWLss/p5hfZJuJoSLkAoC0xi9kpIKSiZQ\nkh9dUiGBhYwuZPQ+gJMW/6NpbTWsg5dHHh9bfI1mrtXNRYx+RaKfZTTtiEe+DnXY78sE+L9J\naegfUJgdaw7w+505c2byy6qqqvnz569fv/7hhx8eyGrkpfy4uhFCOdZk8f81rZ2GtdfiKVLC\nU4AJlMxmdK6qTDGNckqEJ+PKtXGU3ELZLTI7zflbhvU7wzqRFHnoHP7HsP7HsEYS+KLEvijR\nCenmSObrUMfPdfNoR8ssYHSh4DT0mSstLbUfWkb9hAEHQqiPLIAPTetdk+8wrZM93zFhANMY\nraJkDiOVlBaQRPI2get8DEJjCFkms2Uyq7f4m7q51bTCSW12nsOLuvmibs5g5AsS+4pp+Xsu\nKp+GOhJZYTfon95MUQD+aWAfhU3WaRG/eDy+ZcsWzN+WFRhwIIR6R+ewy7S2W/xdw2rr+abJ\nJErmMzqPkSpK3dhdJ5lFySxVeoDDH0zrN4ZZZ17WiAdMfsA01sTbrpKlGxlc2/OtljwIOxI3\nUx6JG1pHM3xXkcZSAjl6azfddFOnBVhlWV65cuXA1yT/YMCBEMqICfC+aW01rHcNq6cFpb2E\nVDNyNSVXMzpiYJdPGHIcBL4o0S9K9BOLbzGt3+rm+aS4wwLYrRu7dRhLyTdkdoNEe8p6MnTD\njkT63Jc081DHCNlMRm+Rc3kzZdOmTZ1WrC8uLhad92eYwIADIZQKB9hrWm8Z1h9M3tN4xnhC\nFkl0ASNzGBWVlrc7PX3KOp1Ot9sdDAazla4l8dEownhK7qTsuxL7wLJ+Z/B3DDN53bNTFv+3\nuPErndwjs2ulHj+Jh1zYkWjSBtP6mXHpZsq/KJ/O3cjVe+lpsbVQKBQOh0tLSwe4PvkEAw6E\nhp6BmTb4icV/Z1i/N6zTPcQZUym5ltHPS7Rc8GBGzj9Hu1agqKgoEAhwzrMVi1AC1YxWM4ir\n7M8mf5uTP8QvrVZyyuLfjxtX6eSfVCnFypuJyuS8xVJL1DPE4Z81M+lmCpuQu5sptp7W4fj6\n17/+y1/+cvv27QNcn3yCAQdCqLPtbcHvt7Z/qBvdBhozGLme0eslNlpMmDHIPyw76am2fQ5E\nVIBrJfplt/tYXHsxFHnT5Il11vdY/JtR/e9kervMvCmnMQ7mAY9Ey3CAH2lGYrrxHEZvkQdy\ngKx7yetwJGOMjRo1aoArk2cw4EBoiBE6vG+LWdZf9M4Pt06i5K8Y/SuJjhUwnjE4Pxr7o9M7\n6sNRG8foClVaavFndfP3xqcfyybAZt162+C3yvRrEnUNtbAjuR1e1s3tHTdTfIT8qyrl9maK\nbebMmfX19ZFIpLKy0uFw2Omg7V9NmzYthxXLA4T3NUfRkGAYBmOpQuZEhvqBqlGWDUD9CRF7\nkoh+C0O9/nD5Wzh06JD9Q9q+L8WDfJqmybKc4n9NgDE73rtgWQAwktEvqcpXHMqVUja/fdpv\nSlwPPgDHvc/lJw5i6vIh6byq183HQpF9l0eBRZTc4nR8zamWZhYCDuTnZbfXRfIb36npd7aF\n7PdDAZ4v8l6jSL2qZN8OQXNzc0tLS4o/ePHFF2trax0Ox6RJk55++ulXX331nXfeWbVq1bhx\n4zIpv6KiordVGj7yPOAIBAK6rvf0WzsHtK7rgUBAUAUcDgelNBLJevLLT3m9XlVVW1tbTVPU\nkgZ+vz/19dkfsiwXFhZGo9FwOCxoFx6PR9O0bE0e7Mrn81FKm5ubBZUvSZLL5UqsDZD5TfqS\nkpKefhUKhWKxWIr/9fl8d++pO6ppX5bo/AxWwOytiooKh8PR3t7Twy79lfVJo10l5nD0p5Ce\nhj0IIW632zCM5MPEAX5rWP8/e3ceHldxJgr/reVsvUhqSV7lTV6xwStgDyTEBJw7X2YSbsZJ\nbsjAjSeOzQWSQPCQDbiTmSQEmGRgMjCGOMTE5Pu4YblJIGTDQJgQzBawscE23mTjfVOrpV7P\nOVX1/XHsRtbSakld6m75/T08PO6j7jrVZ6nzdp069d7n+l3SxVGACxm5grMP836khZs5cyYh\nJJPJDKzmfQqaptbWVikldPum26W6NuPlm8UvGOx/9X/ijVgsFo/HB1C3wg3aJz/5yeuuu+5D\nH/rQ8uXLv/a1rzU2Nv7rv/6rZVl33XVXMYVjwFEA3lJBqGoMwc2UvC9HnFSqyAxr/VBR3ftl\nl98axexZAvAxTi9l5v/niUd9kTwddkiAV4V6VfijPXIlZ/+dFzXrya5duwCg8+8xfbumy7fb\nL9VXsu9HGxczurJ803x15/v+rFmzTNP84Ac/uHv37jlz5nzuc5/71re+Ve56DQcYcCBUHYYy\n2ii5SriQVLJg+xSziyME/pfJ/t6gj3rycV/GO3WxHJHq313/QQ8+zemVBov1c3LMHtc+yB23\nZ8+eLp1AB6X6cvb9TppZlHzPKvNzsF3Mnz9/06ZNY8eOnTNnzosvvggAlNKgnwYNEgYcCCGN\nKuQqUhXy22rv3r2F3xklZIXJlhnsJSl/7ckNQuZvqSYVPOTJn/vqv3P6mUGP8C0yzO2+l3fs\n2MF51+vLTqluyPonT4cgEyi5x+aFx70OvWuuueamm24CAELIq6+++uyzzz799NPTpk0rd72G\nAww4EKoC+Xaf+X7jjq3Hzjmv8PsrAYYaA9bc3NzQ0OC67ltvvVXgbQaBSxm9lNEjUv3cF0/6\n7ydnySj1c0885onFnH6S0ws0DMTprHtcYtt2lyVvCnlzzs/fCRpJ4D9snu+GqZyj5f7774/H\n42vWrAle3nfffWPGjLn55pvLW6vhAQMOhCrdu+++G/yDSDnh5ReiRw+HTxyF8eOV2dts12VW\nORePalfkII/RlHzF5CsM+L++eMQT8U7DO/7oyz/6sp7A5Zx9kJG5lAx9j4IC+Lkn7nVF/hmb\n8ZT8h8XHVl60AQBCiAceeGDy5MnlrsgwhAEHQhVt9+7dpmkCAFFqwmt/jh49DACRY0fEU4+n\nP3VVuWvXg4q6eAwbxQzyiBBYZrDPcPakLx/x/MOdxk60KnjcE497wADOYWQWpecoMoPRcQAh\nzTVPKfiO6z/vvz8GYgYlP7SN+tNhT6UdMN/73vfKXYVhCwMOhCpXS0sLDfrClWp689XaA/uC\n5ZKy3KIPlLNmPam0K8fwU0zYYRP4jEE/bZh/9OXPffmWOGO0oziVjVaAd2rURyMhEylpIjCe\nknGUTCBkAiWlylT2upDfyXqdQ5+FjN5l8XClRhtIKww4EKp4SjVter2+ZeepV4TsX3RJ/fhJ\nZa3TGfCyMZSKCTsowOWcXs7pXqnW+3K9L/b2MmPICaVOCPVGpyUEYBQl4whMoLSJkEYCIwlE\nCQmf+UGHkPreb860K/Uf7anHM15+tRTgHwx2zencbOgshAEHQhUqf0UZ8cYrsd2nhnEAIQcX\nLEo0ja8vW726wmijLIp8knYSJStNttJkB6TaKNUbQm4R6qBSBZ7yVABHpDoC8Je+phOsITCF\nkqmUTqdkBiVRAABoB3jSl79LJzOdHoitJfAvFr/4zGADj5yzDQYcCFWiUxcSpcZsej22Y2t+\n+aE557c2V8oTenjBKLvipw4bR8k4Sj7OKQCklXqP8V1C7vH895R6T6pDCtz+z5rarmCjUBv7\niksWM/oNizWcOVgVD56zEAYc8O677wbz++IJgCpEcPEgSjW9+Up9y6788sNzzj8xrVLSR+H5\nUlGKnzoMAEKEzGZ0NqMeORVkSAXHlNqv1HsK3pNqn1T7pTqsVNcMfv1UT8kqg/033vUuCh48\nZ6dKDzh831+2bNkDDzwQjQbddSCEWLdu3YYNG3zfX7hw4cqVKwunoSpeMedqWc6TAhWzbZtz\nnk6ni58ID0/1Cncq2pBy/Osv1e3fm19+ZPaC49Nnla1aneAhVLH6NVd6Z5TAaEJGA7mw00IB\ncEKpYwpalWqVCgBcID6o4MGWowpalNrVyw2aZkavCtkfkb7TeyXR2aZyAw7Xdbdv3/773/++\nS4antWvXbtiw4brrruOc33///ffdd18wK9zQ6O9pbBgGIURfBqkB6O9XOHbsWJ+Z1bAFKZVg\n7zDfn/Dyf0WPHjq1lJDDGG2g/uhXh0dvGMAoQkYRACDQe6rgtFK7JOySMgnAgTigJjB6ccgx\nOE+lUl2mNsfj52xWuQHH008//fTTT3fJ9ZrJZNavX3/jjTcuXLgQAK699trbb799+fLltbW1\nZaomAui9XcPGpV+CzWhkMpNees5pO50Gk5Cjiz54fNykMlYsD3dodSlJ2NGnECFzGMxhZ4Qk\n3Z9fwYMHVW7AsXTp0qVLl+7atWvVqlX5hfv27ctms/PmzQtezp07VwixZ8+e+fPnB0uOHTu2\nefPm/PtnzpxZU1PT2yoIIcH/u8/5XyqU0oGVT4VPhCC+T5UCKZh/6l5qsDD/Ns45pZR7XvAz\nQpomnB6ZJRgHxgBAMAaUKkolH+C9pwFvn/379/f2p6lTpwIAYyz4v2WV6sn/rhhjQT+TpvKD\nkgdf/127dnHO7XjrhBef5elTXUqK0sMXLU5Pmc7P7CQLtt6AUUoLVzj4Up33+yDX2AVjrM86\nDEZQc9373dQ202tQ7VJtonPOOSf/7yBJLJxumlT/B4oWKZg/hnMerKK0x0+AEDKA7ZPL5Upe\nE1Skyg04ehSPxznn4fCpB8I555FIpLW1Nf+Gd9555xvf+Eb+5erVq5uamgqXSSntPu1/CREp\nLVAsm6VujuayNJdjnktzOeq51HWJ5zI3Rz2PCJ96HnVdEIL6Xt/lDrA2RBgmEFCmdSoE4Vwy\nJg1DUaZMU1KmOJeGqRiT3FCmqRgLcUMaJnAmuCENAxiXgx43c+DAge4LZ87UMiKyVKN8CsiP\nMRqYbdu22bYd2bOj8aX/oqcngBameeyy/yc7uol2ykxRkk1kGEYo1McMk4SQ0q60x2roKDbP\ncbqPHyilQe70PnHOS76K/G+zvG3btpV2FZ0FAYGm4wcGtAsw4CijKgs4lFLdf7KITg9lTZky\n5ctf/nL+5YgRIwqMPyCEhEIhKWWXGzf9Qn3PyKRZNsPTaZ7LsmzGyGZYNstyWZbL8lyWVtIA\nDlCKuTkAgEGfdcIwFOPCMKVpSsMUpilMS5imtGzftIRlCdvxLVs4jmS9HmaUUsMwhBC+7wPA\npk2bOv+1JBkaLcvKl6+D4ziEkHQ6PbCP79y5EwCIlCM3vlbf6fFXLxzZv/gjudoY9TzGWHCI\nTps2rc/xNHn5uLw73/cLjysKhUJKqeA9/VppkRhjnHN9Tb9hGKZpZrNZ0dcTmwPmOE42m9XU\nQxA0TUKIbDaro3w4He15njdhwoQufwqOycGXTymdOHGiUqrkx0/AcZzgAUNULaos4Kivr/c8\nL5PJBL9dhBDJZLKxsTH/hgkTJixbtiz/MpFIFDgig7NaKdVnwMFzWTOT5umUmU7zTMrMZIxM\nimczRiZNtV3JKhzzPPA8nu37hJfc8Gxb2I5rO77t+E7IdRzPCflOWEajYBi9xXxbt27tsmQA\nt4EZY67r6hu3a9s2IWRgDV9wc91Mtk947aVQ64n88nR9496LL/VtBzwv6PoeN24cAPRrLQUC\njj6vZEHfhud5zc3NOtr04GaH1quFaZpa97tlWZlMRnfAoW8TBT/eeiw/ONi669dYEMbYueee\n29raWvwDdP1l2zYGHNWlygKOCRMmWJa1ZcuWYNDo1q1bKaUlHIvEc1kz2WGlk2YqZaQ6jHTK\nTKeMVIpKLb+TBOfSMAQ3JDekaQrGJWPKMCQ3JCGSG0CpMAwFRFGqOt1QV4QKzgHANE3GmJtO\nkTPjHuq5oAAAmPCJlKAU9VwAYJ5HQFHPA6W454KU1POolFT4zPdBCjaIzp7eUN+zkh4kO3rs\nxJe24zqhXCjshsJuJOpGorlw1AtHVE9334fN6NT8F4nt3T1202us0+5rnTz94NwLVKcheDNm\nzGhvbx/iGp5zzjmdb1Yi1K+zTPf9JlSNqizgCIVCS5YseeihhxoaGgghDz744OLFi2Ox2IAL\nVEcPN77xCk3ErWTSTHWUpLtCMiYs27MdYVnScoRtu4z7liXM4D8zuA3hcwMGPaJtAPNw9IkK\nQaWgrhv8I0Spm05R36eeR4WgwqeeS4Wgvk89l/ke8zzqedzNUdcdQGRGsxk7m7HjJzsvVJS6\n4WguWpMLQpBITS4c8UPhHqMQKPjby7KsSZMm9bdWWp16GiWdanrz1ZojB/PLJWOH5i9snfT+\n8Lrm5mZ9I5oRQmgoVV9btmLFirVr195+++1SykWLFq1YsWIwpan2RGzr5r7fdybfMH0n5Dkh\n33Fc2xF2yHMcz7J92/FtR3a6QlTgPBx9koxJxsA4NQKfhMPF34Klwme5HHddnsuyXIbncjyX\nNbIZnsvyTNrIZnkuC0X0QhMprY6E1ZHovFBR6oYibjjihSNuOOyFwjkn7IXCvu0oWigh1O7d\nuwuM4RjK3pH8FKINu7aPfuetzqODM7V1+xddkq2pK0vFEEJIt0oPOKZOnfrUU091XsIYW7ly\n5cqVK0tSPmkY0dufFGOuE/JCYS8ccZ2QG4p4obDnOF4oXGAU5FlOMi5D3Av1OnqAKMWzWSOd\nNLIZI5M2M2nbzfGOdp7s6HM4CJHSSrZbyW43Fwjxbcd1Qr7teE7It+ygP8k3LWlZNBQCxgUQ\nxXqeuqhL74imy3x+LTWHD4zZ/OYZsRQhJ6aec2T2fEmZ1joghFAZne0XTlIXU5QK03Ij0Vwo\n4kYiuXA0+A3t2c7gb3kUNvjrSjQatSwrHo8PcjS+7qmB8hQhnuN4p59XZIw5juN5Xi6Xo0KY\nyXYrmTST7Vayw0p2WMl2nini6Q+leCbd5zsVY4IbvmlKy/ZM69R4kWhtpq5edHo+s8dNMeA9\n1bm0yLEjo7ZtDh8/2vkNuWjtgfP/KtU4cpArQgihCne2BxxA6Z4rP5/Sectj2rRpA35mcsgU\nuM7V19f3OXiwJPGKZCxbG8vWnjEih/peEHyYqaSZ7DBTHWY6ZaRTpP9jVogQXAiey0LHmX0k\nhGSjNZn6EamGEemGxmy0tnug2fkL9hkTdNkaVIqaQwca330n1GWcCmPHZpx7bMZ5+a4XjDYQ\nQsPYWR9wAMheetoHrPNlQ+uUYpVjAFfKImMUyY1MXX2mrr7zQqIUz2aMVNJMp8xsmqfTRjpl\n5k5NhdLvWEQpuz1htydie3cFa8zW1GZr6nLRGj8UyjlhN1rjW+/vxy41P3r0KCGk+zAXKkXo\n+LG6g/tqD+xjXSJaQtrGTTwye4F7+t4ThhoIoWEPA44SwKvFAAQbzTCM2traTCbT/YJdICJR\nhHhOyHNCPXYcsVyOuzmWy3LPZb5nKkVyOchmmOdRz+Wuy9ycmUn3NmSE+l6o9UTnWTEAwA1H\nUg0j0g0jUiNG9dgFEuC5rNN6MtR2MnzieOjEUdrTfa6O0WOPnjsvHWvovB0QQmjYw4BjgPA6\noVuBLVy4d0RYlrAsiJ7KodPbTKPU961Uh90WD8ILu62V9P74jJlKmqlk7L0WABCWna6rz0Vr\n3EgNKGkDsFx2VOsJuz1RYNyrIiTRNOH4jHMzGGoghM5KGHD0A14hKsSAY5HOJOeZ2limNhaf\nOBkAqO878ZPh1uN2W9xub7M62nu7NcNy2ejRQ+/nju9LtjYWnzg5Pn6S74T6rD9CCA1XGHD0\nDS8PVaT7zopEIj1Ocd0lNJGcp0aMSo0YFbw8NUwknTJTyVD8ZKj1hNPWSop+FMg3zVTjqOSo\nMclRY3KR9/MV47GEEDprYcDRK7w2DG/d92/nEOT9YSINI9omNAP0msaGAAAgAElEQVQAlcI5\neSJy/Eio9aTV3mZm0vkZzBQhXiicranL1tRm6+rTsQY30nVeZzycEEJnOQw4usILw1mr867v\nfmtGUta5C4RKYaRTilCrtlZadm+TseLhhBBCAQw43ofXBpTX48HQOQqRlAX3SrhpdXlkBQ8k\nhBDqjmhKr1whXNelBbNscM6VUoOcprOAYO36EjQzxgghQgh9+5FzXiARySARQhhjUkp9m4hS\nqpTSsX3effddAJg1axYhROsmopQO4BAtkPWtz/MiOK4q8EsViVIalK/vvGCM6as/DJemSd8h\nBAPdBW1tbVrTIE+fPl1f4dVumPdwZLNZr/d864SQ+vp63/f15f62bZsQksn0kSVkwCKRiGVZ\nHR0d+hqmWCyWSCT6ft+AGIZRU1OTy+X0TcYaDoc9z9ORP2/06NEAIKWklOrbRJxzx3E6Ojr6\n+8GGhobe/uS6bi6XK/DZWCymlKrAL1Ukx3FCoVA6ndaXN7Gurq69vV1TQBM0TZ7n6dtEupum\naDRqmmZHR4e+mEZr04R0GOYBR5E/bfX9DFJKEaK9G0nTL/jO5esuWXf9h2AXaC255OUXLnAI\njlutOyW/0bSuAo+rYsrXvQs0FY50KNStihBCCCFUEhhwIIQQQki7YX5LpU+e52kd1iSl1Nrp\n5/t+MChS3yoKDIIZPKWU53laB98JIfTdRQYAz/MKD8AcJKWU1kO0R7rXKKXUutOllJ7n6T71\n9BUOQ9I0kV5SApWEEEJr0wH6dwEquWH+lApCCCGEKgHeUkEIIYSQdhhwIIQQQkg7DDgQQggh\npB0GHAghhBDSDgMOhBBCCGmHAQdCCCGEtMOAAyGEEELaYcCBEEIIIe2G+UyjiUSicLbYhoYG\nz/P0pRy0bZtSqi8VajQatSwrHo/rm7exvr5eXzZnwzBqa2szmUwqldK0ikgk4rquvqyhsViM\nUnry5ElN5XPOQ6HQABIaNzY29vanZDKZzWYLfDYWixFCtO5327a1ZosNh8Pt7e1as8UmEgl9\n2WIbGhpc163eRNZB09Ta2qo1W2w8Hh/ABzE9fblgDwdCCCGEtMOAAyGEEELaYcCBEEIIIe0w\n4EAIIYSQdhhwIIQQQkg7DDgQQtq1tLSUuwoIoTLDgAMhhBBC2mHAgRAaCtjJgdBZDgMOhNA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QSEiMkDqARkpiBGIAIyipA2ggZASlDZE+\nnlKpfAxgAiXjCb0MAAwAgISCbVK9LeQ7Sm32ZUe3j6SV+rNQfxYArphE4BJOL2F0Dis4t0GJ\nhMPhVatWfeUrX2lvb08kElof6D1rYcCBEKpQ4yj5PCWfN+ghpV7w5UtCbpI9jBU4LNVhqZ6D\nU1eIGCHNzJ+S85uUHK1UEyWjCNT1f/CHD/CeVDuk2irVNqm2C5kr+rMUoIGSEQCNlIwAaCCk\nkZIGAjFCGgHqKTELfrw6R6r0rZbAXzHyV4wBgDRhr1KbpHpDyDeEbO22W/cq2OvJn3kyRmAx\nox/m9EJGdV+xKKV1dXV1dXUHDx7cu3dvMpmcOHFin3N7oCJhwIEQqnRjCfl7g/29wdIArwn5\nulCv+2JvL93zcaXivnrTPyM8sABGEtJASQNAjJI6ArVAIgQiAA4BAPCAJJRqU+q4goNSHVBq\nX18DIQM2gUmETKFkPCVNhIwmMJqSRlKaGx/DGCUwmZDJlCzlVAHsluo1IV8V6s1ugV1cwa98\n+Stf1hC4lLOPMHohI/r6PLLZ7B133PGnP/0pEokkk0nG2OzZs7/73e+Gw2Ft6zxbYMBRYsG9\n6mLuIyKE+isEcCmjlzIAk7Uq2CLlJqG2Svmu7OPZ0RzAfqX2B4NCBjfeySAwg9K5Jp+h1DmU\nTACovAGsVYYATKVkKmV/b0AO4E0hXxLqRV8cPnOXtit4yhNPeaKewBJG/84QUzRU5v7779+/\nf/9PfvKTyZMnL1my5Je//OU//dM/rVmz5qabbtKwtrMLBhxaYNiBkG71BBYzupgBAJMA7ynY\nJeROKVsk7FXqQEnnxRpHySxKzqPkPEanEzAJ0TrT6NnMAriI0YsY3GyyXVK94MsXhOwyiKdV\nwWO+fKytYxIlf8Pp35b0qaWXX375lltumTz5VD7jaDS6bNmyO++8s1Tln80qIuB47rnnfvOb\n3xw8eHD69OnXXnttU1MTAAgh1q1bt2HDBt/3Fy5cuHLlymBYdW/LK1BLS4thGDhoGSHdKMAk\nApM4XQIUAAzD4Ja1N53e74lDUh4FOKrgpFLHpWpV0Kb6iEUaCRlHYAIlUyiZQslMRqND8zXQ\nmaZSMtVkK4AdlOo5IZ8VavuZiXj2SrXaFQ+AuIiRTxjsg6XIAphOp7tk4LJtO5lMDr5kVP6A\n47nnnvvRj350zTXXjBw58vHHH//Od76zevVqSunatWs3bNhw3XXXcc7vv//+++67L+jR6m15\nxdq5c6frutjbgdBQYgBNlI5iEnpKu5VSkADVoSCpVP4GSw1ALSH1tCLmoUKdNVHyOco+Z8B7\nUv3Bl88Iua9Tn4cEeEmol4Q/gpLVydSlkUENtpg7d+4jjzwyceLE2tpaAJBSPvHEE3Pnzh3s\nd0AAZc4KrZR64oknli1btmTJkjlz5tx4443Nzc0nTpzIZDLr169fsWLFwoULFyxYcO211774\n4ouJRKK35eX9FsVoOa3cFUEIQZjAWEJmUHI+owtP/3cOo2Mw2qhsEyhZabLHHWOtzT/rWLVn\n3kg5KdVkq/ADQH370pe+dODAge9///sAIIS48sorN27ceP311w+yWARl7+E4cODAwYMHL7ro\nIqVUe3t7Y2NjMGX99u3bs9nsvHnzgrfNnTtXCLFnzx7HcXpcPn/+/GBJa2vrrl278uWPHz8+\nFAr1tvYgdzwhpIQ3ZbpkMQ7Sx3de+N577wX/mDKlBAOegq4/zjnV9qR6abdPF5xzAKCU6lsF\npZRzrjVNOZyeRkkHxljJt0+fBQa5xYfyvCit4HSglOpbBQAwxvRliwXN9Q82kb7yg6+gbxPN\nZWyRbd/AyX/58knPf9WXEmAhp1N6b/ADfc51NmbMmHXr1gUN9fXXX9/U1DRnzpxIJFKyqp/F\nyhxwnDx5kjH2wgsvPProo5lMpr6+/pprrrn44ovj8TjnPP8YEuc8Eom0traGQqEel+cLfOut\nt7761a/mX65evXrhwoWF68A5D7rOSsJxnB5X0X3hoUOHgn/MnDlzkCuNRvXeYi7h9umRZVmW\npfGHpWkO9kdPn3Rvos7lb9u2DQZ32BiGUSAQ73Glg9TjedHjwhLSvd/z+b00oZTq3kS6B8Dp\n3kS1odAVAFcAHBTy/2Zy882+G/MTJ070WSxjLLgJ/ulPf7o0FUUAUPaAo729XQixffv2e++9\nNxKJ/Pa3v/3BD37wwx/+UClFus19I4TobXn+3xMnTly2bFn+ZUNDQ5CPpzeO40gpc7niZ/Tp\nQ5fwOfilWHjSus2bN3dZMm3atCJXZ5omYyybzRb+GbFz584iC+yOc154fujia9sdpdSyLN/3\n9U2xbBiGEELfvIG2bRNCCh9mgxH00ARTs3fej32uscC1SghReJ8G14kSTnPZ/byglOqbjz/o\nG/B9X1/PVp/nxSAZhiGl1LeJimmaBiPomdN3XsOZu2AkwHUWhyLOiz4FOWO7e/bZZwdZMipz\nwBFEo9ddd10sFgOAT33qU7///e83btw4ffp0z/MymUzQaAohkslkY2NjKBTqcXm+wMmTJ3/5\ny1/Ov0wkEgWSdBBCHMcRQpQwkUeX2MUwDEJIfxN5vP3220W+07Ztznk6ndbXcHDOCwdkXWrb\nr+GxQc4Lz/NKsgt6HCIze/bsPnOp9Da2ppjvYpompVRfLpggl0r3Q6LPNRYIOPqcM9s0TUKI\nvvMiyKVSwkC/C8MwgoBDX0zAGHNdV98tlSDg0LqJQHMuFUqpvk0EAIyx7ttn8Aftv//7v+f/\nnclkdu/e/Zvf/AbHcJREmQOOpqYmQkgymQwCDiFELpcLh8MTJkywLGvLli3BDZGtW7dSSpub\nm4O+9+7Ly/stUGfdL94l30H9Gnu7Y8eOPn/QD2BFQ3bU7d69ewhuCSGEAuedd17nlxdeeGFN\nTc1dd931xBNP9HhzHBWvzJuvsbHxAx/4wN133/0P//AP4XD4ySefZIwtXLgwFAotWbLkoYce\namhoIIQ8+OCDixcvDoKS3pajilXgss0YcxzH8zx9v+Q0yX+po0eP5jsDShWFdN5i+oYDI4SK\nsWDBglmzZh0/fnzMmDHlrkt1K396etd1H3zwwb/85S+5XG7mzJnLly8fO3YsAAgh1q5d+/LL\nL0spFy1atGLFivzEXz0u79HQp6fvcnEd2C2V4g3BLZVwOKzvfsEQBByWZQ24h6MYoVCoz7sP\nxQQivYVllFLTNLvfAemzzOpNTz94Q5CeXutMo4SQcFhvttghuKXCOU+lUvouMaVNT9+nZDKZ\nSqVGjRpV+G0402MB5e8gMk2zx9tjjLGVK1euXLmyyOUIVSycfwVVrMFEw8NSb4NGP/OZzzzy\nyCN//OMfh7g+w0n5Aw6EEEIDNrAbef16umoAq4hGo5Zl/eUvf+l/1cqs86DRzhhjo0ePHuLK\nDDMYcCCEUDWpomHykydP7vFubyV3mZx33nlbtmxJp9Nz5861bbvzXAyDnzPpLIcBB0IIVboq\nCjKK0fnrVFrw8dOf/nTdunW2bU+ZMuWHP/zh448//sILL9x2223jxo0rd9WqHgYcCCE01AoH\nEMF4dtd129vbh6xK5ZLfFBUSefz617++9dZbP/ShDy1fvvydd9750Ic+9Morr9x777133XVX\nuatW9TDgQAghvYZZ/4QmwVYqe9jh+/6sWbNM0/zgBz+4e/fuOXPmfO5zn/vWt75V3loNDxhw\nVB8qBfF95nnM9+0U40KwdIr4PhGCCEGkYEIAAPFcohQAMM8j0POTaZJSyTgAkaapAIRhKsYU\nY75hSs4l55IbzOCgFHSbUR6hoVH4al3261NvMMgYmLKHHfPnz9+0adPYsWPnzJnz4osvAgCl\nVN+8A2cVDDgqCPV9nk3zbNbI5Xg2zXNZ5rrMzXE3xz2X5lzmudTzqNSVXqEAyQ1pGIJzYZjS\nMH3DkIbpWZYwLd92vFDYs23PCSudyTlLiAjBgs0oJe02VYPgBqFEMK5w0q1y6Nelusc3O44T\nDoc3btxYukr1rwJokJqbm8sVc1xzzTU33XQTABBCXn311Wefffbpp58eTMYolIcBx1Cjvmem\nU0YqZWRSRiZtplJGJs2zaSOTZjpzQQ0S9T3qe30eLr7teOFwzgl74YgbOv3/UESUaEpgKgXL\n5Xgux3IZ7rrMc5nnUtdlnkeUot6pCdZOdepIRT2XUkpdF5RkvqekYr5Hip+JiBCfG8owBOfK\nMHzDPB1vmcI0hWUJ02LRGuWEskIIS29izOFNx2V7ypQpPc65V/yVrECt6urqEolE2SdOHMbK\n1dVx//33x+PxNWvWBC/vu+++MWPG3HzzzUNcjWEJAw6NjEw6FE+bHR0s0Wamk2ayw0onWTnm\n8JaMy24/1qkUtNS5KHk2w7MZB7omgBam6dkhz3F8y/EtS9iOb5jSMMCyDNsxfN84NeOh4p5H\nhKC+x1yXeS53cyyX426O57I8m6W+xuSTPVCKey54bjE5vBUhwnY82/Es23cczwl5dsgPhVwn\n7IXCQnMe8Oo19D0E2CdRRYa+q0MI8cADD0yePHkoV3qWKP/U5lrlcrnCqSgMw1BKlWr+Y7V3\n98nXXjESbWZHwmhPdO+r7zdChGkJy5Kn/y8NUxiGOj3GAixbcS4IFdwgjErDUIRKSoFzAJCG\nqYoYe0Fdl4AirkukZL5HfI94PvM94uao53HhQy7HfJ+4uVP3dDyPujmWyxFRuV0ylUaYph+p\n8SJRLxL1ojVepMarqfXDkT53UG9pxGfMmFH4gwWm/O/zvOCcE0JKOO/1u+++2/klIWTmzJm6\n09MLIbRmUdadnr6ETVN3wQGgOz297/slucR0OX4CPQ6t6PO8SCQSJZyzvzuc2ryAYd7D4bpu\ngTOWEFJXV+f7fjKZLMnqjC2b6ze/2a+PCM79cMSzQ77teGNEX0UAACAASURBVKGQbzu+ZftO\nyDct37b77KU3TZNz3kNOh+BVv3K4GCYAQLc1Oo7T23SE1Pd5LsszaSOb4emUmU4F/zdTSZbT\nlQOiZ4QIwwQCgp+6ygrDAEKBUmWaCsDnBgBI0wQA3zABQDGeH3GS7wFiwidSAgARPhGC+T4V\nPvG8INJiwT9cdwDDaJjrstYTVusZfT+KMTccydXU5iK1uZpat7YuG62R/IxAgVLaYyb3Pg/a\nAkkNfd8vnN+ntrZWKVWq8wLOTE8/efLk4GqtL0ePbdvBcasvV0hNTY2+RCElb5q6syyLEKIv\nV0s4HDZNM5VKlSSmaWpq2rNnT5eFjuMM4LxAZTTMAw4pZYFfUfn540r1S4vG6nv7USlMKxeO\nuOHI+4MbnLAXCgmjYObx4s5VpZTWQdS9FS4p9Z0QOKHuf6K+b6aTZjplpFNGOmWm00YmzbMZ\nnk2z/lwDBOfCsn3L9k1LWJZv2UFMJkwzWCIMU3CjwGBVHcnbqBDUzXHXZW4uDIplM7Kjg7s5\nnkkbuSzPpHkmU0xQQoSw2hNW+xm5A91QOFtTl62ty9XFMjUxry6mOO++CwZz0CqlCn88mF2x\nhD0QQf2DexlCCEppn3UY/OoKn/6DFNRfX8ABReymwZBSlnYXdxFsmRJ2Mk2cOLHLvZUe2z19\n3wgN3jAPOIaYrG8AAN8w3WhNLlLj1tT6NbVeTW3KsvsILIYdyXm2pi5bU9f9T0RKnssx36Oe\ny4WwLEu6Oc91JeMAoBhTnPucC8OSZlG3hIaeZEw6Id8JAYDqJVssd12eSZmZtHE66rJSSTOV\n5Nk+sleY6ZSZTtUcORi8VIzl6urTNXWZWH26tj5XF5NV8ihQFzhyAg1SGR9dQSWBAUcpydFj\nt378036nuxJBenqhLT19NVKUeo7jgQMAjDGpOT19ufim6ZtmtrbrfQ3q+1YqaSY7rFS72dFu\ndbTbHe0F7kARIeyTx+2Tx6EFAEARkq2ty9Q3wqRJVTQ5CkYbqCQw5qhqGHCUkmLMx2cjUUGS\n80xtXab2jL4f7rpme5vdkbDbE3Z7m51o660jhCjltMWpL9zqiTYQKiGMOaoXBhwIlZ9vmn7j\nyHTjyPwSlss5ibjd1hpKtDmJuJmId54+JF3fgKcuOmthzFGlsNVCqBIJy0qOHJ0cOZpSapqm\nm0pZbfFQojUUP+m0nszUj4iWu4YIlVFzc/PRo0fLXQvUPxhwIFQFJGOZhsZMQ+PJ00sw4EAI\nVRdMFYEQQqj6nHPOOeWuAuofDDgQQghVJXz6qbrgLZXq0/kci0ajlmXF4/ESTneDo7EQQtUC\nB5BWkfIHHAcOHFi7du327dsZY7Nnz16+fHljYyMACCHWrVu3YcMG3/cXLly4cuXKIDdEb8uH\nq7Kntqqvr29tbcVTGiGE0GCUOeDwPO/b3/72lClTvv3tb7e2tj7xxBN33nnnD37wAwBYu3bt\nhg0brrvuOs75/ffff9999910000Flg8nFdhP2N8qVUiA0tzcHIlEXNctnDpkMGKxGKX05MmT\n3f9UIRsBoeENOzmqRZkDjpaWliNHjtx9992RSAQAbNu+7bbbstmsUmr9+vU33njjwoULAeDa\na6+9/fbbly9fbppmj8tra2vL+0VKogLjjAHr7bv0q12o9g3SY/2xZUSo5DDmqAplDjimTp36\n2GOP2badzWYPHz780ksvTZs2zbbt7du3Z7PZefPmBW+bO3euEGLPnj2O4/S4fP78+cGSTCbT\nOfWwZVms98QT+eRtBd7TX12yfge5xQunAgeAyZMnD2x1wVfos/xBKuH2mTp1aueXnPNoNJrN\nZntLSDt4wfYv4VfoUfHld94C3RNgdkcp7fEQGsw3IoQU/nhwXOnbaMGX0lo+nE5Sr2kVQf21\nJm8bgk2kdfsE5ROdU+J2rn+R3wizu5VRmQMOSqlt2wDwz//8z1u3bo1EInfddRcAxONxznk4\nHA7exjmPRCKtra2hUKjH5fkCX3nlla9+9av5l6tXrw76QgowDKNAIu/+CoV6SJ1aYJTJzJkz\nB79S3R08Jdw+PbJtOzgMNLEsS1/hgYFtovPPPx8Atm3b1uc7ux9Xg9kppmnmT6ICdO9309Sb\n0TDoN9Wnrq6H3IQlVNqmqUc9tlclNJRN0/nnn79t27Y+t9iJEye0VgkVUP5Bo4Fbb701k8k8\n88wz3/zmN3/84x8H2bG7vCdIBt3j8vy/m5qali5dmn8Zi8Wy2V7TYgGAbdtSyhLe4PfOzL0e\n/JLrMaaePn06ABSuXp8Mw2CM5XI5Tb+0AMCyLH2Z1YJpNH3fL236+M4MwyhhjuzuLMsihAxm\nPwZ3Xnbs2NHjX4Ofud23T59rLBDDCSEK/84LQjSt+50x1uVkKSHOOefcdV19+900TX0Dgwgh\nlmWVtmnqIuh70HreDX3T1NzcPMgWFWlV5oBj3759J0+eXLBgQTQajUajV1111ZNPPrlly5b6\n+nrP8zKZjOM4ACCESCaTjY2NoVCox+X5AqdPn37LLbfkXyYSiWQy2dvaCSG2bQeFlOobdTkB\ngmyxXVqN4AJTkpVGo1HGWDqd1tdPaJpmCbdPF4ZhmKbpeV739O6lonvQqGEYlNLBb6KxY8dC\nTyM8gpis+7W/zzUWCDh83y/cLgfHrdb9btu2vvIdx+GcZ7NZffu9rq4ulUrpu6ViWZbv+/o2\nkW3bhBB9tzKDpimVSumL+QzD0Ld9kA5lnvirpaXlnnvuyV8s0+m067qc8wkTJliWtWXLlmD5\n1q1bKaXNzc29LS9P7fuvubm5imqLhh4eIQih4arMPRwLFiz48Y9/fO+9937sYx/zPO/nP//5\nmDFjzj33XMuylixZ8tBDDzU0NBBCHnzwwcWLFwc353pbXvnwQoKKFBwqOOoeITSclDngqKmp\n+da3vvXQQw/ddtttlmWdd955X/ziF4P7xytWrFi7du3tt98upVy0aNGKFSuCj/S2vJJhqIEG\nAJ/0QwgNJ+UfNDp9+vQ77rij+3LG2MqVK1euXFnk8oo1bdq0dDpd7lqgqtTc3Lxv375y1wIh\nhEoAk7fp1WXaCYT6a8qUKTNmzCh3LRBCaLAw4NAFR/+hEsJjCSFU7TDg0AIvD6jk8KBCCFU1\nDDhKDy8MSBM8tBBC1QsDjhLDSwLSCg8whFCVwoADoSqDMQdCqBphwIFQ9cGYAyFUdTDgQAgh\nhJB2GHAghBBCSLvyzzSqlW3bBXJmBhhj0WhUUwUYY/n/68A5B4BwOKwvBzQhRN/2oZQCgGma\nwT904JwzxoL58nWglGrdRIQQznlpyzcMwzCMAm8IdofW/T4E553jOPr2O2MsEoloKjxQ8v3e\nWbCJggZEh+AAi0Qi+pomSukAtk9HR4eOyqBiDPOAw3XdAnnbCSGmaQoh9OVoNk2TENI9t3ip\nhEIhSmk2m9WXA5pzrm/7cM45557nFc6WPhiO43ie5/u+pvIZY5RSfZsouDAMoPwC11rf9z3P\nK/BZzrnW3OVBCKivfMuyGGOu6xb+moPBGMtms/rS01d700QIMQyjepsmpAPRF34ihBBCCAVw\nDAdCCCGEtMOAAyGEEELaYcCBEEIIIe0w4EAIIYSQdhhwIIQQQkg7DDgQQgghpB0GHAghhBDS\nDgMOhBBCCGk3zGcabW9vLzDVICEkFot5nqdvslvLsrROQxkOhy3Lamtr0zedX11dXVtbm6bC\nOec1NTXZbDadTmtaRTgc1jrjZG1tLaU0Ho9rKp8x5jhOMpns7wcbGhp6+1MqlSo8tWttbS0h\nROt+t217AF+qSLZth0Khjo4Orfu9vb1d30yjQ9A0EUL0zfAbiURM09TaNNXW1iYSiQF8UN+B\nDQBTpkzRV3i1G+YBh1KqcItACCFE+3SrWhOdEEJ0r0Lr9tFd/4DuXaB7E5W2/GF/XsCQHFd9\nbsbBqPbzAk4ftxXYNBXIdwEA99xzz+WXXz579uxgF6ASGuYBB0IIIVS811577amnnhoxYsRl\nl1122WWXTZ8+vdw1Gj4qMeDwfX/ZsmUPPPBAj5kAn3jiiYcffjj/kjH2y1/+cghrhxBCaNh6\n5JFHNm3a9Lvf/e7RRx999NFHx40bd/nll19++eXjx48vd9WqXmUFHK7rbt++/fe//32BO5cH\nDx684IILPvaxjwUvsdcLIYRQqRBC5s+fP3/+/PXr169atWr79u2/+MUv1q1bN23atKDPY+TI\nkeWuY7WqrIDj6aeffvrppwuP8zp48OAll1yyYMGCIavV2aylpeXYsWOpVKr7n5qbm4e+Pggh\nNGTOP//8j3/846tWrXrjjTdeeOGFhx9+eM2aNc8//3y561WtKivgWLp06dKlS3ft2rVq1are\n3nPw4MFNmzb94he/yOVy55xzzhe+8IWmpqb8XzOZTGtra/6lZVmMsd6KyveOFHjPIFFKCSH6\nyg++AqUle7x5z549nV8GJfdY/r59+zq/nDx58gBWF5SsexNRSvWVH6iuQ6jPAoPjqrq+VJfy\ng/9rPa4YY/qeUgHN50WwiXQ3TYwxrZ3QA6h/4RGjPXrvvfd27NjR0tKSyWQcx+nvx1FeZQUc\nfWpvb+/o6CCE3HzzzUKIRx999LbbbvvP//zPUCgUvOGVV1756le/mn//6tWrFy5cWLhMwzBi\nsZjGSgPoPkZra2sHWcK2bduCf+S3ZGc9LuziyJEj+X/PnDmzX2u3bdu27X59pF8sy9JXeED3\nIVTa8k3TDIfDQ7zSHquhtfxIJNLfj+RPhB51ObDr6ur6Xaf+GIKmqZhTezAG3zQVNoDtc+LE\nieLfvG7durfffvvQoUOWZS1atOjKK6+86KKL+rtGlFdlAUc4HH7ooYfq6+uDqHnKlCnLli17\n/fXXFy9eHLxh5MiRS5Ysyb+/pqYml8sVKNCyLCmlvof1gwDf931N5XPOGWOu6w7sl9aOHTv6\nfA9jrL+/CbZs2QIAxYzuppQahiGE0LqJpJT6JgMwTZMQUvgwG4zgZ/oADtECYZaUsnCFg1DA\ndd3+rrRIA/5SRWKMcc49z+tzvxdzCuQFB3Z+FVOnTtX3zOcQNE0woJ/7RTIMg1I64KapGKZp\n6jhEDx06tH79+meeeQYAnn/++YULF37+85//wAc+gH0bg1dlAQdjrPN0RuFweNSoUZ0j1nPP\nPffOO+/Mv0wkEgXGnxJCLMsSQuibXce2bUqpvlmtotEoYyyVSvW34WhpaSnyneFweGCzA23e\nvBn6GuphGEZtba3ruj0OEymJSCTiuq6+a2csFqOU6juEOOfBHFb9/WCBgMPzvML7NBaLEUL0\nfSnDMGzb1le+4zic80wm0+N+L/7gLyAUCm3evDl/NS3tkKagafJ9X2vTRAjRNydhNBq1LCuZ\nTOqL9WOxmI7tc9VVVzHGFixYcPXVV19yySUD6CdDvamygOP1119/+OGHv/e97wVPzGaz2ePH\nj48bN67c9aomJWlt+7s6HGGKKoG+gz9fMh7q1e6mm25avHix7ptBZ6fqCDiee+4513U/+tGP\nnnvuuR0dHf/2b//2iU98wjTNxx57bNSoURdccEG5K1gdhjjU6LJqbIhRuQzlkd99XXjkV5cr\nrrii3FUYtqoj4HjhhRdSqdRHP/rRUCj0L//yLz/5yU/uvPNOy7LmzZv3la98RfcDCMNDGaON\nfAWw5UVDrOyHfeE64BlRgf76r/+6x+V/+MMfhrgmw08lBhxTp0596qmnOi/5zne+k//3xIkT\nv/3tbw95papYJbS5AYw50JDZtm2bvsxkpdLl3MSzoxLcddddnV+2tbX9+te//sxnPlOu+gwn\nlRhwoBKqnGgjgDEHGgI7d+4cgmehSw4HPFWCefPmdVly4YUXfuc73+lzhgXUp5JNGIUqUKVF\nG4HKrBUaHlpaWqr9ABsGX6F4VfFNlVI7d+4sdy2GA+zhGJ4q/DTGfg5UchV+zPfXtm3bfN8f\nM2ZMuSty1lm7dm3nl7lc7rXXXsPMbSWBAccwVBUtL8YcqISq4pgfADxNht6uXbs6v4zH40eO\nHPn+979frvoMJxhwDDdV1PK2tLQUMxspQgVU0QE/MBhzDLHvfe97XZZs2LDh5z//+Ze+9KWy\n1Gc4wTEcw0rVNb67d+8udxVQFau6A35gzpKvWbEuuuii119/vdy1GA6wh2P4KHmrRIUwkx2h\n+AmzvZ27OXJ6imLJmOCGbzueE3KjUUkHNQ/Ktm3bJk2aVILqorPJ2XYNxn6OIdMlzUIul3v2\n2Wfb29vLVZ/hBAOOYaIk7S+R0mk9ET1+1I6fDCXiRirZ50cUIV44kqmrTzeMSDWMyMQalM5s\n1AjB2RdtBDDmGBqf/OQnu6Q2ZIx98YtfLFd9hhOiL5VfJegzNZHjOH1mzhwMzjkA6EuFaprm\njh07BplSkuaykQPvRQ/sCx05SAdXVWFZqdFNyQnNyabxivUdzhJCgmyukydPHsx6CzAMQ0qp\nLyum7iRYlFLO+QCSzxVIbpnNZguf+LZtB2/r70qLNOAvBQDFPKAYZKP1fV9f+8Y513deQ+/H\n7bRp00pS/hA0TYyxPo+0nTt3Dvgb2bY9gEM0lUq1trYWeMPhw4e71DkWixWfKhbHpRUwzHs4\nCuclD3LcK6X0nXWEEK3p6Xfv3s0Yk1IOoGElSkUO7a9r2RU5tJ+UKKMjy+Vq9u2p2bdHGGbH\nhObWaTOzdbEC76eUAoCUcvv27VOnTi1JHbrgnAsh9O2CYMvrKz9/7SxhmX1GYEoprcctY2wA\nX6rL4wMF5E/t3r5mSqndUu0Vcr+URyS0gjohVVqpJED+THIAHErqCIkRMoaSJkImMjKF0lGU\nAEAQKGsKaMjpbsLu9S/VmRKcevp2sWEYACCEKNACBzt0wHXQ1HQHjyIfPHhw7969yWRy4sSJ\nY8eOLflazk7DPODwfb/Ar39CSCQS0drDQQihlGoqv6WlJfglWvis7o67bn3LjobdO4x0z0nh\nhWlmamPZWEMuHKH1jSlCPNNShgEASirme8zNGdmMkU7Z7Qm7vc2Jn+zSNcI8t273u3W7302N\nGHX43HnpxpE9rijIgxM0HJq2kmEYnufpS08fCoUIIVo7yQzDGED5QUblHvV5zIdCIQDQ96UM\nw2CM9av8ft1GCXrOOgeaCmC3VG8KuUWqd6Q6KPuOFNoBQPTwrjpCZlNygS/nKTkDgGq4hRik\np5dS9nhB3b59++DvrQS/hfTtYtM0Oee5XK5A0xR8uwHXIRQK6ah/Npu94447/vSnP0UikWQy\nyRibPXv2d7/73XA4XPJ1nW2GecCBuuC5bOO7Wxv2vMu6NWSK0uSI0R2jxyZHjs7W1MHp31jh\ncDh95igqYVkQjnS+hUCUchLxyOGDNUcPhU4eh06Nefj40akv/CExbuKh2Qu8cKRA3fAWNerN\ngAdtZJR6Wag/CfmqUCdL1BvRptSLQr2YygJAjJCLGL2ck0WUmDh6aVi4//779+/f/5Of/GTy\n5MlLliz55S9/+U//9E9r1qy56aabyl21qocBR7XqbxNMfW/Ejm0jdmyl/pldPoQkR4yKT5zS\nPnacMMyBVUYRkq6rT9fVH5s528hk6g7sjbXsstvb8m+oPbAvcvTwoXkXxicWGquBMQfqYmCh\nhqfgpZz3ZDr3J0/0+RM4TGAEQD2lUQI2QIgQAPCUyihIA7Qq1arUSQU9/k6PK/VbX/zWhygh\nH2HkCoPN0tHj0Q2eKfq8/PLLt9xyS35UWTQaXbZs2Z133lneWg0PGHBUpf61wkrF9u0es2Uj\nz50xwMo3zHjz1JNTZrgFOx76y3Oc49NmHp82M3L86MjtWyJHDwfLmeeOf/2l6JGDB86/SHI8\n8FDfBhBt7FfqV578TcZrlT33Z5gA5zAyk5JplE4mMJ7S2iIiBFepwwp2S7VLqa1CbZYyeWbx\nHUr9wle/8OVMSq402BJGDc2BB8YcmqTT6WCAS55t28lk34/soT5hu199+tUKO4m2pjdfCZ08\n3nmhbzvHp886OXma5Eapa/e+5IhRyRGjokcOjn3rL1bHqafY6/bvtTra9158qRfq+YYoNqMo\n0N9o4zUh/48nXhaqe1cEBZjF6F8xspDRcwkZQChgEjKRwERKLgMAA6SCfZb1x1T6z0K9I84I\nbbZJ9a2cfx+Bzxn8EwatvpS1Z725c+c+8sgjEydOrK2tBQAp5RNPPDF37txy12s4wJlGq0zx\nrTCRctTWt6Y+95vO0YZvmIdnL9j+0b87Pn2W1mgjr2N0084lHzsxdUZ+UIjT1jrt+d85bfHe\nPnJ2zrKAOiv+GJAKXhByWcb7UtZ/6cxogwIsYPQbFn86ZKy1+TUGm0cHEm10Rwmcy9kXTL7W\n5r9yjC+brPnMOynHFfyb6/9d2vuFL3U9kI1nih5f+tKXDhw4ECRPEUJceeWVGzduvP7668td\nr+EAeziqSfHti52IT3jtJTvx/kVdEXJyyvRj587zBzpQY8AkY4fmLUyOGjv+tT8zzwMAns00\n/9czLR+83B05aogrgypcvy6ifxbyflfs7Hb3ZCwlnwzZf0OhQdv8K3ljKPmflP1Pg22R6jFP\nPOfL/HjsE0rdmfMf8cgNBvsQx1931WHMmDHr1q177733AOD6669vamqaM2dOJFLK+85nLQw4\nqkaxDbFSjbu2j96ykXb6ZZVuGHFwwaJMbaEpMXRrHzNu94c/OmnDH81kBwBwz5384vr3PvQR\nNWFS9zfjjZWzU/HRxttC/tCTb4mu908uYOSzBrvUshzbymazGmfm+v/Ze/f4qKpzj/tZa1/n\nlmRyD4SEEC4hQCARg9YLraBHWutp9W1rX1u1llCUIx4t9njEnlIRj1RrqUSxakGwx0v1tcd7\nLaAUjiiicicBciFAgFwnk2Ru+/r+sTPDMJnMTGZmJzOT9f0jnz2TPWs/e932b6/1rPUMYhZG\nszh6OaP+jyT/TVJd3kUxpxR1hUe6Qsb3M9SEeLuUkpaiBxRFabn6gx/8YLRtSSmI4EgOIuyI\nKUGY8OXutLOnfd8oNH1+xpzOyWWQAGv23GnpDd+6vmTnNoPdBgCUJBXt2nb++n8V0zIGn0x6\n0rFGhJW8Q4WnBekf0kXDGhjgWzS+g6GmYQT67I0RITkY/TtL387AZlF6U1IFr+z4VFK+lJQa\nlrqVoWIKPpQqJOx80MKFC4N+v23bthG2JPUggiN1MPTYij/bwfoFQHFlZbdceoVgThtFqwKQ\nOL75m9eV/N92Q1cnAFCiWLD1/ZZrb/Bw/GibRhhNInn8SACvi/ILguz0+xIBXEPjJUygF8Xo\nYkXw7yz9I1p9VpR92sgDUCvI2yTlEZ6ZGD9jiTSPL+vWrfMdu1yuxsbG999/n/hwxIVEFByS\nJN1+++3PPfdc0K0SZVnevHnz7t27JUmqrq6uqanR9tBNYSLpizPOtBR+udu33aeKUPv0We3T\nKxIwlJrEsE1XLiz55z+MPd0AgN2uwo8/PHHNImmQ5iA96VggwjfdOkV91CMFuGtcgtG9HF2W\nSFLDnwKMVnP0zYz6O4/U4LW8XlF/6hTuYakfMFSC2j22mTlzpv/HSy+9NC0tbe3atW+++SZN\n1vPHRmL5MQmCcPDgwaeeeqqvr2+oczZu3Lhr164lS5YsX7583759tbW1I2nhyBO+O1bV3CP7\ni/bs8qkNieObr1zQVj47AdWGhswwzVct8FjStY+Mo3/i7h1YR3d+QoISidoQANYL8s9cor/a\nKMToCY7eYGASVm34mIPRFgNzF0P5vLU9AE8K8gq31BunSCwJOz2RGlRVVZWXl3d0dIQ/lRCS\nxBIc77333rp16w4dOjTUCS6Xa+vWrYsXL66urq6qqlq6dOmuXbvsdvtIGjmShO1HkKLk/t/H\nuUcO+HYTd2Vln1h4Q39egf7WxYTM8U1XLZAMRu2jsatj/JefwaDNp0lPmsJEUrj1snKbS3xZ\nvOAdygEsYajXDMz85Fn3QQP8jKX+YmD89yHdJSs/dQlHh9igjJA45OfnP/bYYxaLpa2tbbRt\nSW4Sa4DopptuuummmxoaGu6///6gJ7S0tLjd7jlz5mgfZ8+eLctyU1NTZWWl9s3nn3/+3//9\n377zf/vb386aNSv0RWmatlr1Wr6hRUjiuGi2/6mvr9diaA0FFoSCj/9uON/q+6Zv0tT2y69i\nqHjusIEQCm1G9BiNbQsWFXz4NpYlALCeapbzCnqmB5ZXjKWDMWZZVr8w5Vr8Ob2rUHzTZ1k2\ndLhtvW/q2LFj4A0RNxSKCpvdnj+6Bf+VJpcy9CqLoTic26UWbZXjOJbVaxE4QijykOUa5QCv\nmOFZh+tFp0fTT+dU+IVb+o3ZcCMfxE6KoiJvem1tbWVlZZEbo9UrLfqjHmibdWp7ZwWlra3t\npCRbMY66mlEUFcVvbbYhdwDSGMpp9Ec/+tErr7zyySefDPeKBB+JJTjCYrPZaJr2Re2jadps\nNnd3d/tOkCTJfzpGluWATWoHowV01cNaH9Glj0JOiFBuV8G2Dzjfpl4IdVVV98ysBIC4DzGH\ntiQW3Fk5nVcvyN3xD21sI+urzz05ee6cizbnOHbs2PTp02O5ita3xmRoOMIWcV1dXdR3oUcV\njSRBndpFXV0dhKtUXYr6YK9jt3Ah7o8RoQfMhh8YuGEVpH7lHl3KDMC9ZuNlLPurXkenogCA\nR1Uf6nPWS/IKs4G6OM3hXiKK8tKv69OMD5E+QuihftdBUSr84ut/zc5aPzkaby097Pd3GvWH\noqj8/Py4X25MkWSCQ1XVwY1Q9tvb58orr/z44499H+12e1dX11CpIYSysrJEUdRvUobneYyx\n0+kMf+rFhB5tZpyOSbu2+fYLVzB1pvqKnsJicAQPNx8LJpPJ4XAEdd6Mfb6DoihUPAnPmJN9\neB9oM0SffHR84Xfkix1Iv/zyy6i9R81msyAI+oWnt1qtGOMQ1UzD4XCEPScoNE0bjcbe3t7h\n/jA7O3uofwmCEDpBq9WKEPKX8vFCqzMURTEM43a742FYowAAIABJREFUg56zT1ZXeqROv0Gp\nORj9hqPHK5LTEdHOGgzDcBzn8XiChnePC0aj0eVyRTdyNhNgC0+t9Kj75IGfb3F5mgXxUY4y\nIAQACCGTySRJ0lBZFJRhNROe5xFCLpcr/KlRYbFYOI6z2WxBw9M3NzcrKpyQZAA44xHOR9U6\nrFZr2OGKKJg5c6Ysy59++umpU6domi4pKamurtaeOzG++RCSTHBkZmaKouhyubTBTFmW+/v7\nQ3SsSUroBznr6J/0z3+wzgFtobDcySu+2Z+VG0cD/LutzMzMoR48g3u36CRIV0UV39FmbjsL\nAIzLWfTl7uZvfCsRNg4hxJFI6oYK8BdRfla48A5BAdSw1B0MlTT+GpGRjdAzPPOUIL8pDtzr\nLln5hVv9A09njY2af0a9sDdaOTfS2x+HoL29/f777+/p6Zk4caK2KHL8+PFPPvlkRkaQ7YII\nwyLJWnFRURHHcT6v0qNHj2KMU2zlZBi10d9b6qc2ZN5w7vobnTlxGOgr8SP2RIb3M4Raqq8Q\nvQ6klnOtWY3HAk4h3qNJTSTF51LVhz3Sej+1kY/R8wbmzpRTGxo0wK9Y6kH2gkNKvaLWuKXW\nseFG6r/maKYhgbbhefrpp4uLi//617/W1tZu2LDhjTfeyMrKevrpp0fbrlQgOUY4tm/fLgjC\nokWLjEbjwoULN23alJWVhRB68cUX58+fr59rW6LBOvpLd25jvGpDNBhar/uuYs2C4U/Z+NBJ\nrvmSjVAoyBx/at6Vk/65FakqABQc+tqRm+8OtgMpISU5r6i/vHibjStovIqlI4kdP1wiqfMj\nJnBvYqhxGD/oFrU2fEZRa9zSegMTXXDSJNq6xr+sy6Nyq9eJAwcOPPnkkz53XbPZfNttt61c\nuXJ0rUoNkkNw7Nixw+FwLFq0CAAWL168cePGNWvWKIoyb968xYsXj7Z18SREN8c4HZN2br2g\nNoymxquvxZb0qItwZDom7SqRdN+O7LyOspm5dYcAAMvyhC8+bbhmkernFJZEnWkAZHgmNIdl\n5QGP3OUdYMcAixnq52wc9sWKusLo5LQUlMso9IKBWe6WtBzoVNWlLuHPvDQ1padWGrzFnUlR\n+UwCPYlYlu3o6Jg2bZrvm9bWVorsRx8PEqiYfUyePPmdd97x/2b16tW+Y4qiampqampqRtwu\n3QnRndEe96SdW33blosmc+P86wSjKbqByJF/bEcoO9qmV5jPnzXaugDA0NOdW3+4rbxiJOwj\njB7bJeU3Hsnn02tG8FuOviqGWZSSkhKDwWAymXp7e+PrLOzfcDIyMvbv3x+vlKdg9AJP3+MZ\nmE+xq3Cnre+5NOPk4SeVLLrcN8Ix05BAwxsA8K1vfeuZZ57xeDwLFiwAgHfffXfTpk3XXHPN\naNuVCqTk3GhSEuJhTIlCya5tXP/Acl/RYGy8+lrBaIriKjG6aMRI2EurGJ+ed6XifZnIrT9k\nsPf4n0CGClKMV0R5pZ/aKMRoo4GNQm3ExQMp6ovGJbVCjF7g6UnencF6VXVJr6MuRf05+lT1\nvOLzGE0swVFTU3PFFVf8/e9/1z4ePnz4O9/5ztKlS0fXqtQgEUc4CP5gWZ746SeGnoHVXxJv\naJp/rWAyDzedBHnpCTvU4TGntc2sLDjwJQAgRSn8cnfDNYsSdo92QtSoAOsE6RXxwprJSgqt\n5eiM4RR1stTqCMlGaANPL3MPBF7pV2G5W9zAM5MTfvv2YdHc3Nyogk9JzUgkj1EA4Dhu/vz5\nTqfT7XbzPP/ggw/qvYvP2IGMcCQEQ3ZVqjrhi/8zdbZrn2SWbb5qgWeY0V9Hd1QjKKHt6Zhc\n5szK0Y4Ntq7sE3X+/yWDHCmADPBwv8tfbVxH4fUcnRFxz56YtTp2k6wIbeCZaV6FYVdhmVs8\nOcxxjsRvI8cvbFUPM/jEGuF46aWXli9fvmrVqhUrVsiy/Prrry9duvTMmTOjbVcqQATH6BOi\ndxh3YG966yntWKHo5m98y5U+jCU5Cdgp+whlGEKn535DwQMTK3lHDzBe55VkJPF7/xFGAFjh\nFN71XNhF9KcMXs3TbGRqI5FrNcTDvHQEtQZmCj1Q/20qLPdI7ak1teKLnUsBTEukTTgA4N13\n3125cuXbb7/d09Nz5MiRq6++muf59evXj7ZdqQARHKNMiKdRzvGj2Q0D21GoCJ267Cpn9jB2\n90rkTlkjhIUeS1qHN6gKlqTx+77w/y95hCcvLlW93y3tlAb22kAA97HUPSwdidZIcKnhT4x2\nZiD0Z6tloteX5byi3uMW7SmkORq891KMUYRCc8SQJKm8vJxl2SuvvLKxsXHcuHG33Xbb0aNH\nR9uuVIAIjgQl7ezpgkNf+z62Vlb3FhRG+Nsk6pdLS0uH+lf7tBnutIHIT2nnW9PPtIyUUQS9\ncKiw3CN/4R1OpwFWcfSPmfALDpOoSvuI0eBsjP9kMeZ6n8XNivpLjxj5kptEFuUyQIN3v/Mp\nieeeUllZqa0/qqioOH78OABgjINu0E4YLkRwjCZDdQqGHlvRF5/6YrW3T5/VPWlqhGkmXb88\nVHgCFePWqst8G5yPO/iVFlRWI5H7U0JQ+lW4xy0e8KoNFqG1PL0oghDzSVelfcRoeQGF1/OM\nb+uzg7L6G7eUAstWmhXV7b2LssQTHEuWLNm8efMHH3xgt9v37Nmzbdu2l156acqUKaNtVyqQ\n4qtUQu/WgrxxkhgmjuHcAw0YKv3Gxsag5tEe98Tdn2BpYIbbPmFix6wqaohRR19IRu0gxIBB\nLOiXPzRNA8C0adOOHDky+L/uvIKeiaUZzQ0AwDgdecePts+sHK5VGGMtVFicTA5Ey/mh0vcv\n5ehsoCgKYxxf+8MmqMXXjeNFXZha7vQc9j4tDQg9nWasUsO8NUZdn7U8p2k6uuBqkaDlT9j0\np06d2tjYGEXiAIAxnszQf8R4qdOjPaG3y0qhrCznIiqX0MUXomuKC1ocV4ZhAsYGGhsb6/3y\nbAYdfduMzn5RFEOfsGHDBpvN9vzzz2sfa2trCwoKVqxYEY2JhItJccFB07T2SAsBxpjTbSG4\n1qqD/iuoYUhRJnz6iW87UVdWTvsV36KHlk1a4jRN6yfAEUL65Y/WK1EUVV5ero1eBtBZNc9y\n5hQlCgCQXX+kr3SaaBlYpNPS0jJ1aviBH+3Zo99Ggdqzeags8i/l6LIRYxz3Kho2Qa1exeui\nfbK83CUc9o5tGBF6xmK8lGX84zwPJpLCHQot22ma1i/8upaHkQiaoep2CHzvQjRNV9Lw3xj/\nss+lZd9mj1RK0/8ageYI3UBCdE1xQct5lmUDsoim6TrPwFAlBpjJsVFXs+i6prCCQ5bl5557\nbtKkSdFZRQhBigsOj8cTonohhHie10LO6mTAUOHph5oRKPx6j6GjTTsWDYbmy+dLkgRDh9jW\n0i8sLNTvFliW1S9xhmFYlhVF0eFwjBs3Lki2INxWXjFO25ZDlrK//OzkN77p+2ckhukdnp5h\nGIzxUJZ4PB7fcXTZqIWnj+K3PD/k9gZh454zDIMQiku5uxT1lpYzB7xeokaE1vF0BSiKovhn\njj/aTEQsVzcYDDRNu91u/cqdpun+/v4IR1CC1+2h0aSGLMtaFl0BcC9L/UEYyMNHnZ4CWZod\nwfZoIfJwBMLTUxTlcDgCRjg8Hs9hcaBDK8aIFoSoC5phGD26psceeyzuaRI0UlxwJCZDdT3W\n5obMpoE3IQVTLd/4lsQbwqY2ffp0m80WT/tGj5KSksGZ0zW5LPNkA2/vAYC0s6fNHef7vdFx\nk2UX57FMnduz3zUgbgwIrePpOSGn7VO1QIPW7cj5MUOdUtT/T1IAQFDV//BImw1MXoKt74gE\nQVV9UVSmJ54DBwAsXLgw6Pfbtm0bYUtSDyI4RpohHUVtXf6LP1svucxpzQqbWizDzonJ4H5Z\nRejs7Esn7dyqfSw48GXDgu+QvUeThSoj/1px4S3Np2SA33NjVG1oxKg5fsnRLar4pawCQLcK\n/+GWnjcwobewSEBF3qCC6B0VKk9IwbFu3TrfsSiKJ0+e3LlzZ0pG7xp5yCqVhIAWhOLP/omV\ngSHTzinTbcVhZhCTcaFghAy+r/7c/N5xE7RjQ4/N2nLBCy+Rl6sksm0jyeUmQ62BeYJn5oaM\n/5qq9dmfWO6RBnicYwq9D+mjivo7IZQTTGLiHx2mPIYQffox04/Kysrvf//7DzzwwF//+tfR\ntisVSMTyTmGCP4FUtXDvp6zXUdSZnXtuVlXodMZC1xzAuYoqX6j6/MP7fat4CEnBTIwuG/Nq\nI3bSEPyOow3e4b13RPl/pWTaH6K5ufmo3y4sUxNyhGMweXl5w3X7JQSFCI6RY6j33ZwTdWnn\nBjbql3jDyXlXqSFd68dC1zz4Hj3mtK7Sadox7XblHL8QYIUMJCQ7Y6FK+4jxZidj9DB7YcnV\nkx7peMitORKtdfhGOEoxSqwtzb30XkxHR8eWLVtI/La4QHw4Rhljd2f+4X3asYpQy7wrJYMx\nxPljp2sePOHdPr3C2tJICQIAZB8/0lU6VeISK84kIQrGTpX2EaMzx7U0PqJgLfSdAPCfbmmL\ngTElwwPRpapNvqj0CTmfAgA//OEPA9ZPMQyzcuXK0bInlSCCY4QI2r9QolD0+U7kXTbWXl7h\n8K6/CMpY65oD+mWJZTumzcw/9DUAUJKUd/Rga2X16FkXhkR7s0xMxlqV9hGj5vg3lj6iSNq2\nradVdY0gPcYlQWder4BvBigxl6gAwKZNmwJWO2dlZem3F9GYIkE1ZooxVM8y/qvPfa4b/XkF\nbWWzQiQyZrtmfzonl4neEaDM5hNsf692TJ7uyQip0lFDA6zh6AzvOP82SXk7GZw59vtFpZ+Z\nqIKjoKBg3MUQtREviODQnRMnTgT93trckOENSCZx/KlLr4ChpwnHbNcccOMKRZ2fMVs7RoqS\nd+TgaBhFiAOpt6J7uMTYqHMRrOIuOOI+Jcgnh3DmSBA53tzcfMBroQVgEvGKGHsk1iicLMub\nN2/evXu3JEnV1dU1NTWDt8p/8803t2zZ4vtIUdTf/va3kTUzDrD9veMP7B34gNDpS78RYo+v\nMas2NAIGn3uKS3OOH+V77QBgPXOyo2yGO90KCbnlAGEodAr6k3TEOLHyDQr/mBlw5nCp6sMe\naSNPJ1q0dx8KwEHv9PFsCifqAAdBRxJLcGzcuHH37t133XUXTdMbNmyora297777As5pbW2d\nO3fuDTfcoH1McOfhhoaGwRYiVS364lPs3bC8c3JZX/74oVIgD9EAVITaymcXf74TAEBV848c\n8N/sPEFIkHfKxIRU6ThyN0N9rUC9rADAcUX9kyjfwyZWr+6jQVH7vUMwc0KukSakKgk0peJy\nubZu3bp48eLq6uqqqqqlS5fu2rXLbrcHnNba2lpZWVnlpbKyMmhqicBQT53c+kPG7k7t2JVu\nPTdzyFsgXbNGQD7Yxxc5MzK147RzZwxdA5lJHvOJD6nSAcSYISxCq1nKtzPH/4jK/mATK4nQ\nNPwdOGYn/PhGf3//yZMnR9uKVCOBtHBLS4vb7Z4zZ472cfbs2bIsNzU1BUiK1tbW/fv3v/XW\nWx6Pp6ys7Oc///n48ReGB44fP/7mm2/6Pv7gBz+YMGFC6OtSFGU2m+N3HxfgOE4LHO8/yMF3\ndeTWHdKOVYpuu/Ia1hh8HWwkk9xaVEyj0ahrGG6d8gf8YliHvcSsWbP8997prqw2fvJ3AABV\nHVd/8Mw1i7TvB6ejBVdjWb3W/GtFHHDdAC8zLMtKtNUMY0zTdHyLIGyCWrnE8aK+DNHSxBjr\n1+7A2y54nte13E0mU1ySCqjb4B24pSgqEnfFqQC/xOKjDjcAKAC/9chvpBtNgwZWA3Jbixar\nXxRlrQhMJpOvazoEAyZxCM0x8L6pn6irAcY4it+GjfemRYt98803L7nkkieffFKSpCeeeGL3\n7t05OTnf+973brzxxuisJUBCCQ6bzUbTtK8Na31id3e3/zm9vb19fX0IoRUrVsiy/Prrrz/8\n8MPPPPOM0fvMbm1tfeutt3znL1y4MGzcdoxxiLiaUVNXV+dzQPHFyEayVOC3Dra7qlrJyQ0a\nZ3r69OmRX0tvJ2o98scfmqb9w7gPhb9Dj1Bc4s4r4NvOAYDpXKu5u9OTVwAAzc3Ng7NOv17V\nh38W+Rc9AGBJmvC/r7nGFbLpFlwc5etsfIuAoqjB3lG6XlS7XEDR6F0u+qkNjTjmT0VFRV1d\nXcCXCKFIigkAfswwOyV5p0cEgFZFWeeRVlkCX2OCWhtJu4sFX9dUV1fnG+GYxVAmb9EMq6Mb\nTBRFEFZwvP/++++///5vfvObyy67DABee+217du333jjjRzHrV+/3mAwXHvttVGaO+ZJIMGh\nqupgdwdZvihYgMlk2rRpU2ZmpnZmaWnp7bffvnfv3vnz52snzJ079+WXX/adn5WV1dPTM9QV\nEULp6emSJMU9xnFj40CwD5qmEUKiOLAPd96Br9iegciujtz8cxMnw6DI9RohzPbHaDSyLNvb\n2xsQAzqOpKWl9fb26pS4Jis9Hk8kYbILCgp8GQsA58orStrOaccZX+9pnn+ddhyQdUajURRF\nXxHEHYvFgjH2n/tzXlymmY3HKLfL3HRCfPYPwre/J88Os299ABRF8TzvcDiGa1hGRsZQ/xIE\nIXSCaWlpABDHcnc6naWlpb6ioWmaZVnnEJU/dnie1zJN13KPPDx9JPjnBkLIYDD4wtNHwkMM\nPiigHlUFgDec7vmgzLt4Z62vvvrK31eXZVmEUOTpDxeTycQwjK9rOtHvaPMKjgp04WYj7OiC\nolPX9N577/3whz/85je/qX3cvn37/Pnzly9frl3xrbfeIoIjahJIcGRmZoqi6HK5DAYDAMiy\n3N/fn52d7X8ORVFZWRdiqJpMpry8vM7OTt83FovFXzLb7fYQPY6mWlRVlbz+m3HBf7pU64+0\nJmfs6sg+fkT7Xqbp03O/oagqBOuwSkpKIjRJS1+W5QBlFl/imz/+aEWgKEqElyguLvZlb19W\nbn9OnrmjDQBMbecM7ecc2XkAcOLECf95cUVRZFnW7xY0/NMPEH+ZJ+q1A5VmhElT1OFbEvcq\nGjZBTf3H8aLFxcX+qSGE4n5T/mjNQddy1+yPo+Dwr9u+rinyF4lMgAdYaqVHAgAV4FG3+KqB\nCRjl8M8N7V1Iv/zRLJckSTvYJ13ooCrQwH8j7+iColMVOnv27MyZM7Xjrq6ukydP3n333drH\nqqqqv/zlL3G/4tghgZxGi4qKOI47dGjAv+Ho0aMY4wCPqr17995zzz19fX3aR7fb3dHRUVhY\nONK2Dh+syBO+/Ax5u6dzFXMFY/AJYOJVFzltM+b4jvOOHBhFS4bC3NHG9w68w0nlM1XDkIuf\nCYQY2/61NL6GHujSzynq0x59Rfaw+MI7vIEBKkLGihp1MMa+mayvvvqKYZhZswa2ZHS73XrP\nL6c2CVTwRqNx4cKFmzZtamxsbGpqevHFF+fPn2+1WgFg+/btH374IQDMmDGjr6/v97///f79\n+48ePfr444/n5eXNnTt3tG2/wJArU44c5PoGRt378gq6SyYHPY2ojbD4Z5EjO7c/r0A7Nne0\nmTrbteNR9MkPuHRWQ73vWKxK3I3YCanBf7AXth/9m6Tsky8agBmtdtHU3LzHa0k5hc2JvUJl\n/Pjxx44d04537949c+ZMn8j46KOPJk8O3nUTIiGBBAcALF68uKqqas2aNY888khZWdmyZcu0\n73fs2LF161YAMBqNv/3tbxVFefzxx9euXZuenr569eoRcAmMEWNPd47fZMqZSy4PuqkoURtR\ncH56he84z7v8J0FgHf1pZ09rx47sXDknb3TtISQ+MXYCVgS/ZAd6dRXgMUES4mFVjJxQ1C7v\n4O4874LYhO3uvvvd77788svvv//+hx9++Nlnn11//fUA0NDQcN99923btu22224bbQOTmATy\n4QAAiqJqampqamoCvl+9erXvuLi4+JFHHhlZu2ICKcr4vbt9kynnKy4Rg02mJGzzS0D892d0\nZuf25+SbO84DgLntrLG705mZDYmx8WjO8aO+cu+aXGYdXWsISUJJSUksO0D8C01tldWdkgIA\nLYr6Z0G6a7S3AvvcbweOyxM1SKyP66+/vrW1tba2VhTF733ve9dddx0AuN3uiRMnLlu2jIxw\nxEJiCY6UJLP+kMHuXZmSk9dVEmaZLiES/DVHW/ks8z/Pa8d5dQebr7hmtKzyH7KmPW7ryQbt\nWDBb7OOLiOAgjAwPsNSXkqKtA3lZVP6FVid5xxVGXog3Nzf7BIcFoRkUgsR+v8IY19TU3Hnn\nnYqi+Jw5Zs6c6fMkJURNoovNZIft7806tE87Vijq9CWXkcmUuOPIyXdk52rHlnOtRluXdjy6\nuytmNdRj79KhjqnlamLvwU9IKGLsEPIQupsdmGiWAB73SHptCxgBTlX1xWy7lEKJPv8NAACH\nDh368ssvtbVO+u2pOAYhgkNPVDV/727fU6e9vEIwpw0+i6iN6PDPt7bps3zHuX6eHCOpOfyv\nhSUxq3HA70zieFsxiVVGGB4x7oj1/9DULO+oxn5Ffc8veP0IC/GvFFX0PrITfz4FAF566aXl\ny5evWrXKt73k0qVLz5w5M9p2pQJJUPzJS8bpZtP5s9qxKz2jY0r54HOI2ogL/XnjnFk52nHa\nuTOGnu7Q5+tNduMxWhhw1+uaMl1JeL9mQoqBEfyKo33Vbr0g20fjRb2pqWmP30oZzWM0wTu9\nd999d+XKlW+//XZPT8+RI0euvvpqnufXr18/2nalAkRw6AUtCuMOfKUdqwi1XnK5mtirz5OR\niwc5vMtVVDW37qDv+4AoFTpxkfeGKGTXexclsWxXafiYOATCYKZNmxbTzzH6ITMgOXpUdb1w\nYVuOERvkUAF2eR04JiLIT/iYbQAgSVJ5eTnLsldeeWVjY+O4ceNuu+22o0ePjrZdqQB5BOpF\n3qF9tMetHXdPmqotnQggwZV+ctGXP86Xyelnzxi8W8iD307zkdPsx3B/m11/hBYHhjc6J0+X\nGH0jehBSmBi7iF+wVI73Ef+upByUR3SUo66u7rCsnPM6cFxNU5AMnV5lZeX+/fsBoKKiQntd\nwRjrFztiTEEEhy4Yuzuzmk9ox7LBeN5vQ0wfid/wkgL/bGwvvzDIUXDgS//TIpcOg88M+1v/\nsFu025Xt3exL4vjOqUHm0QiEyImlozAC/Lt3TawK8LhwYSfwhoaGmE0Lz1Y/35Fr6eR43CxZ\nsmTz5s0ffPCB3W7fs2fPtm3bXnrppbBBQAmRQJbF6oCqjvt6jy9ISntVtaxz1EqCRm/eOGdm\ntrG7EwDMHefTW0/Zxxf5n+DTDUE78dCqQvvv4B/W19f7Bx0sOLIfywO9envZTFnnaJwEQmiu\npfE7EtIcKRoU9XVRvtU7z3LixAld40KoAB97BccEjKYlw3wKAGzYsMFmsz3//PPax9ra2oKC\nghUrVoyuValBiveGRqMRh/OcoGla20A9LrS1taUfP2r0Oi26CsY7J5cZBy2sKisri8vltLvT\nYnvqBMY4jvkTgPao5nk+lkjiVqu1vn5gUKFr3pXGv7+tqb1xh76WJk0GmtZik/r/pK2tbXA6\nRmNgRO/BtLW1+ZddfX29VgTabw1t56wnB6ZvJLPFNXOO0c9dNLpsRAghhOJbBCzLGkJGddF2\n79W13ON+UwHpA4DZbNZvTSPGOEQ83rjAMIyWRf41PAr+i5O/b+sXVBUAnhOVa0zGUprSsiig\nPseRY8eO7ROlNm/+X8+zRqMhvteiKCqKKmSz2UKfIMvyc889N2nSpGjtIgwJSu1FxmGjxWZl\nZYmi6B9bPEZO1ddP++h/tRUKKsbN3/6+kJYhCBftLxzHyRSLxcJxnM1m0y9abGZmZne3Xos+\nGIZJT093uVxRhF8PwDc+MeGLT62nmrTjtvKKnspqXaOGGo1GhJDD4UCyPHXbe1zfQLzslsuu\nthcW+58ZXbnTNG00GqMIwx0Qadmf/v5+t9sd4rdWqxUhpGu58zzvi8IYdwwGg8lk6u3tDWh6\ncSQjI8Nut+vUf2pdkyAI/uUei6fnn0X5T8JAFzEdo40GhmcYANC6x7hP7zY3N/M8/zuX5y9O\nj/bN/xiYKRjF90JWqzWsegiKfhUbAKZOJU7iQ5LiIxwjT8Hhr33rITsmT/dY0pNjGDGFODer\nMu3sKUqSACC37pCnsLg/mMdu3MmtP+xTG70FhQFqg0CIEf/ddYfLHQy1U1LqFBUA6hR1oyjf\n7d1DE/TZflQB+Idn4GVvIkZxVxv68S//8i9Bv//oo49G2JLUgwiOeEK1nbN4R9RFg7G9fNbg\n7ReSpdUlHb7uWDIY22fM0ZxGkaqO+/STxutulHTeCcNy/mxu/cCGYwrNtFaSwLCE+BO15qAA\nVnH0T10Dq6f+LMhzGPkbzIVGMZSLUhRoSX0sSO3eBbELk8RdVGPt2rX+H3t6et59990f/ehH\no2VPKkEER/xQVW7bhz5f0XMVlyg0E/CUI2pjZOiYXGY+f9bSdhYAaEf/+D07my+br98+KEyv\nffwXuy7E55sxO2h8PgIhdqLWHCUY3c1S6wQZABSAh1ye/6H43IvPiWSoI0LP67+4BiZTMMAN\nSSU45swJXFR46aWXrl69urqavEXEChEccYOuO0ydHdj+1pGd20NG1EecC30xQqerr5i69T3a\n7QIA89kzxZ/vbLns6tCaA8mypeO8saPN0NPNOfpVQDJNeyxp/bkF/fnjxSG8LJm+3oLtH1Le\neTT7+KLOybp44REIMfJjhtovqztkBQDsivpLh+c5jjZdPOkbYqhj8HLxoc6sl5WvpQGXkasp\nPA4lzXxKUFRVPXHixGhbkQoQwRE36OaBde0qQmfnXDo4SFtSN7mkQ+L4U9VXlvzfdqQoAJB2\n9vTETz85PfdyyRC4FAWpqrntrPXUScu5M5QeXjRjAAAgAElEQVQY6GNo7Om2nj4JCDmzcmxF\nJfZxEyT+gvIwt52d8MWn2LvDmzs94/Sl3wgan49AiBdRD3IggN9wdLNbbFFUADgmKys80jqe\n5gadGSAmQlwu6L9e89t+4xYmmYY3AGDjxo3+Hz0ezxdffDFhwoTRsieVIIIjbri/8315Shne\n+kF//jhXRuZomzNG8e+L+3PzT1dfOWHPwGSHpe3stH+801E2sy9/vGA0026nwd5jaTtrOXvG\ntyfskKiqsbPd2Nk+ft8XrvQMjyVdoWljZzvfd2ERgcTxJy//pkIzIZIhEOJC1JrDhOAJnvmZ\nS3CoAABfycp/uqW1HM0EE8nRXaJDhW3eLU2nYlRF4eR61wrYEs1ms50/f/6JJ54YLXtSCSI4\n4ok4dXoLZpASZIVqcjW5lKGnsJhmmIJPP9HGOShRzD+0L//QvtC/kgxGV7oVVJUSBUNPN/Lf\n1VhVDT02/33TNTyW9JNXfEswW+J9BwRCcLQuJQpNMBHB7zn6XrekOVn8n6ws90i/4+m41F1F\nhUc8kuD1Z/oxm3yPmMceeyzgm927d7/22mv/9m//Nir2pBLJVxsSHIWigIQGHVUCXv76ikpE\nmin44v9YR3+onyHktGbZJ0y0jy8S/Fw+KUkyt59LP30y7expPMRmJ87C4uZLLpNJzBTCiBPd\nUEcVhZ8w8fc73NruNF/JymKX+ARHF8W8GegrkrzHuzhlAk1dR6XC9OLll1/+pz/9abStSAWI\n4BgJyPDG6OLIKzh+3Y05dQdzTtT79h0fACFnRmbfuELbhJKg4xMyTdvHTbCPm0BJkrntrKXt\nrLGrg3a7sSTKvMFeUOgunerJHyfHvHEZgRAd0WmOqxhqrYn7T4dH81pqVtRbXeLdLPUjmgqt\nOpyqKiPEAQzW1x9J8gZxQJRTAI9bTKzomThx4nBtG10CNiH0eDzbtm2LYuc9wmASS3DIsrx5\n8+bdu3dLklRdXV1TU8MwgTPikZyTUEyZMsXpdI62FWOLwV2wQlFtMys7yiv47i5TdyclChJn\nEEwmZ2a2xPGRpCnTtH18UUBwFtB2Go2b4QRCNEQ3vXINQz/Dyys8kl0FAPAA/EGQ35SU79H4\nUgpnI1ABdSnKGRVOKEqTAidVtVVRNcGOAQowmohRMYLxCPUCfC0re/2i0f7CwFWytEP0xO8u\nR4ibb77Z47nIbIqili1bNlr2pBKJJTg2bty4e/fuu+66i6bpDRs21NbW3nfffVGcQyAEfe1T\nMOXMznVm5wb9CYGQ1EQhO2ZTeKOBecgtHfMGkT+tqOsFGSBMqAQFoFVRWxX102D/raTQEuPg\ntS/JwaZNmwJ2rLdaraFjDxEiJIEEh8vl2rp167333qvtr7J06dI1a9bceeed6enpwzonoZg8\nefJom0AgEMYQISZwg2qRCQhtMjCbRHmTIMcecAgD/CtDLWcobS3spEmTFH+f62SgoKBAVdUD\nBw60tLQghIqLiwsKCkbbqBQhgQRHS0uL2+327fI2e/ZsWZabmpoqKysjP6e9vf3gwYO+86dP\nnx4ikqoWLxFjzHFxE+P0xeHIaZpGCMUx/QC0UKUsy+rXqnW1X4tKSlGUHpcoKytraGgIGy44\nRrRaREcQhj66e8QYx7eKQgR1Xovmqmu5x/2m/NGKg2EYpNueKAihWEIch00c4t01gV+Qaq1d\nIDQQvJMGuIumv8MprwvSe4LcFywiXQZCkyg0EeM0hMwIOhX1pKI2y4ovHiyDYAbG9/LsbBqD\nt2viOC7RuqaA6ZLB2Gy2Bx98sLGxMS8vDwDa2tqmTJny+OOPJ+xrbRKRQILDZrPRNG0yDSwQ\noGnabDYHhPULe86RI0cefPBB38dnn312/Pjxoa9LUZTFErfVjDx/wSFg+vTp2oF+HauGL0N0\nIo75ExSWZXXquysrK+vq6iiK0tvRx7/chyKWbIxvETAMYzQGboCm90WDmqFr+noPg+udPzRN\n63QJrV3AxUJ5KsCvjfCAqh4Q5XOyfF5ROIQyEcqnqFIaZw8h3J2qek5W0jDKxoHOpr4OUD+i\nyJ+wgqO2tpZl2VdffTUnJwcA2traVq1aVVtbu3LlyiitJHhJIMGhqurg15GAqOthzyktLb3n\nnnt8H3NyckLEPUcIGY1GWZZDh+oeFv612eFwaO9Y+sXI5jiOpmmXy6Xfa4TRaNTP6ZWiKJ7n\nRVHUL4umTJlSV1cnD7GiNeBM7WBY2xhrUikS+0NUxRBgjFmWjaKKhpChkiSFNliTI7qWO03T\nYbv+qGEYRsu0SMo9OgwGg9vt1i88fdy7pgBKS0sB4OjRo4GXBpgDMAcD+BSGKoMoD1VUFEAh\nAMgQUJ80Nel0OnXKIgAwGAwulyvuye7fv/+RRx7R1AYA5OXl/eIXv1i9enXcLzQGSSDBkZmZ\nKYqiy+XS3ktkWe7v78/Ozh7WOUVFRbfffrvvo91uD1EjtVatKEoca60oDkRkLikpcblcqqpi\njPVoFRo0TdM0rXfHqp/9DMPwPC9Jkn6XoCiquLj42LFjIc7Rpr19NhQWFg4+Z6iYVVarFWPc\n1dU1VOK+H0Z3jzRNUxQVxW9DCI6wTzKe5xFCupa7rukDAMuygiDoqvW1Bq5H4j7BoV8WaS9v\nhYWFUYe8D402vOF2u/V7F+J5XtcqRIg7CbTLfVFREcdxhw4NxPg+evQoxoF74kZyDoEwmBCV\nJML6U+IlikuTKkpIWPSonEld4SsrKzds2NDZ2al9bG9vf+GFF6qqqkbXqtQggUY4jEbjwoUL\nN23alJWVhRB68cUX58+fb7VaAWD79u2CICxatCjEOQlFUre3VGXwosGRLCZSJQgJS9SRWYZK\nLV5JjQrLli178MEHb7nllvz8fFVV29raSktLyT4ccSGBBAcALF68eOPGjWvWrFEUZd68eYsX\nL9a+37Fjh8PhWLRoUYhzCIRISPbekEDQg6E0h397GUqUpFibslqtzz333L59+06dOoUxLi4u\nrqio0G+505gisQQHRVE1NTU1NTUB3/s77Ax1TuKQYs2PQCCMBfyD0QftxMZOz3b48GFRFK+/\n/nqe54OuVCBER2IJDgKBQCCMLmNHWATlpZde2rx5M8/zpaWlf/zjH994440dO3Y8/PDDQX3J\nCcMigZxGU4Mx3lYJBAIhqXn33XdXrlz59ttv9/T0HDly5Oqrr+Z5fv369aNtVypABAeBQCAQ\nCANIklReXs6y7JVXXtnY2Dhu3Ljbbrtt8IYlhCgggoNAIBAIhAEqKyv3798PABUVFcePHwcA\njHHSRYRJTIgPB4FAIBAIAyxZskSLQI4Q2rNnz7Zt29577z3fNsSEWCCCg0AgEAiEATZs2GCz\n2Z5//nntY21tbUFBwYoVK0bXqtSACA4CgUAgEAaQZfm5556bNGnSaBuSghDBQSAQCATCAI89\n9thom5CyIP1C+REIBAKBQCBokFUqBAKBQCAQdIcIDgKBQCAQCLpDBAeBQCAQCATdIYKDQCAQ\nCASC7hDBQSAQCAQCQXeI4CAQCAQCgaA7RHAQCAQCgUDQHSI4CAQCgUAg6E6K7zTqdDplWQ5x\ngsFgkGVZEASdDKAoCiEkSZJO6bMsS1GU2+3WbwM3nufdbrdOiWOMOY6TJEkURZ0uwTCMoiih\nq0EscByHENI1i2iajqKKWiyWof7ldrtDZzjP89ppw71ohER9UxFC0zTDMIIg6FrugiDo1O4Q\nQjzP69o10TQNAGOwa1JV1eFw6GGPRkFBgX6JJzspLjhEUQzRsSKELBaLqqoej0cnA3iexxjr\nlz7LsjRNi6KoX8dqMpn0s59hGJPJJIqirpeQJEm/jttoNOpaxNqzM4r0QwgOSZJCJ2g0GhFC\nuhYKTdP6pa8JGqfTqV+5GwwGj8ejn+Awm82KouiXRQghXYtY65oEQdAvsLvRaIzO/r6+vrgb\n44MIjhCQKRUCgUAgEAi6QwQHgUAgEAgE3SGCg0AgEAgEgu4QwUEgEAgEAkF3iOAgEAgEAoGg\nO0RwEAiE6Glubh5tEwgEQnJABAeBQIgJojkIBEIkEMFBIBAIBAJBd4jgIBAIsUIGOQgEQliI\n4CAQCAQCgaA7RHAQCIQ4QAY5CARCaFI8lgpN0xgPKaoQQuCNH6afAQgh/dLX7o5lWf0CFuhq\nP0VR2l9dL8EwjFbWeqClrGsRx72Khk1QC7QRyUW1GGAap0+fnjx5ciQGUBSla6FrVula7loe\n6hdLBXTumhiGAT3rrda0OY5LtK5Jv/AxhLCkuODQOuvQ5yCE/DvN+KK1Ov3S1+6OoqiwtxkL\netuvhdrS6RIIIa0U9Etf1yqEMY57+lqaIU7Q/hvJRQPyNkI79bipgPRhkG1xh6ZpXQXHCGSR\nru0OdO6aossfIjhGkRQXHIIghI4Wq4Wn1y9asRYt1ul06pQ+xpiiKJfLpWsYbv3yh2EYjuNE\nUdTvEmazWRAE/aKGsiyLMdbPfpqmjUZjFOkbDIah/iVJUui43izLIoQiuWhA93348OGSkpKw\nv2IYhud5/TLNYDAwDON2u/Urd4ZhHA6H3uHpde2aEEIul0un9LWuyel06jfCwbKsroHmCXGH\n+HAQCAQCgUDQHSI4CARCPCHeowQCIShEcBAIhDhDNAeBQBgMERwEAoFAIBB0hwgOAoEQf8gg\nB4FACIAIDgKBoAtEcxAIBH+I4CAQCAQCgaA7RHAQCAS9IIMcBALBBxEcBAJBR4jmIBAIGkRw\nEAgEAoFA0B0iOAgEgr6QQQ4CgQCJKTgkSbr11lv7+vqC/leW5Y0bNy5evPiOO+549tlnQ4RK\nIRAICQLRHAQCIbEEhyAIBw8efOqpp4ZSGwCwcePGXbt2LVmyZPny5fv27autrR1JCwkEQnQQ\nzUEgjHESS3C8995769atO3To0FAnuFyurVu3Ll68uLq6uqqqaunSpbt27bLb7SNpJIFA8NEH\ncFDWJWIqgUBIMRIrPP1NN9100003NTQ03H///UFPaGlpcbvdc+bM0T7Onj1bluWmpqbKykrt\nmyNHjrz88su+8++4446wwbIpirJYLPEwP3jiCCGKonRKn6ZpADCZTDqFyQYAhJB++YMxBm+E\nd50uQdM0RVEcx+mUPsZY7yyKexVlGIZhmNAXBYCwFz0vind75BZZfjHNVEGHr+Tnzp2bOnUq\n6HNT/mgtzmAw6Ffumv36tTsAoGla7yzSOhA90CqY2WzWL4swxlHkT4jhc4LeJJbgCIvNZqNp\n2mQyaR9pmjabzd3d3b4T2tvbt23b5vt40003he1xMMb69Uoa+gkODZZldU1/BPJH1yzSO/9B\n/yyKb/oY49CCI5KLNrrc1xyuPyXJALC8z/lKZnoRFV41NjU1TZ8+PZL0YyeSe4wFvdvdCHRN\n+gkOjQTsmsIKjj/84Q8LFiyYNWsWQihauwjBSTLBoarq4Eogy7Lv+Kqrrvr444/9/9XV1TVU\nagihzMxMURR7e3vjbqoGz/MYY6fTqVP6ZrOZ47ienh7/TIgvVqvVZrPplDjDMGlpaS6XS9cs\nEgRBEASd0s/IyMAY+6ve+ELTtMFgiOK1LCsra6h/eTye0HXearUCQOhyZxUlG6NTAADQraiL\nu+0vGpisCProL7/8curUqRzH9ff3hz05OgwGg9Fo7Ovr06/c09PTe3t7dXp917omQRD0ex3n\neR4h5HK5dErfYrGwLGuz2RRF0ekSGRkZPT09cU/2iy++eOedd3Jycq655pprrrlGG5MjxIUk\nExyaPnC5XAaDAQBkWe7v78/OzvadQNN0Wlqa76Pdbo/kSazfoJ/qRaf0/a+ia/p6p5wCRaBr\nynFPP3SCmrIPfY4BoVeKC6871nhKUQHgjKLe4xKf42lLBJqjoaFhxowZI5BpercLUq/Cpp90\nXdMrr7yyf//+Dz/88PXXX3/99dcLCwsXLFiwYMGCCRMmxP1aY43EchoNS1FREcdxPq/So0eP\nYozDemkQCAQ9yKKop3k626swTijqfR7JFdkz4Pjx43qaRiBECUKosrLyoYceAoD777+/oqLi\nrbfeuu2225YsWfLaa6+1t7ePtoFJTHIIju3bt3/44YcAYDQaFy5cuGnTpsbGxqamphdffHH+\n/Pna8C+BQBh5xiH0NE/7PPcOyuqvPJKg83s/gTAyXHLJJQ888MDf/va3tWvXTp48ecuWLbfc\ncstoG5XEJIfg2LFjx9atW7XjxYsXV1VVrVmz5pFHHikrK1u2bNno2kYgjHEmY7TOwBi84xx7\nZPUhQZYi+CHZmYOQFJw6der48ePNzc0ul4vn+dE2J4lJRB+OyZMnv/POO/7frF692ndMUVRN\nTU1NTc2I20UgEIIzC6PfcfT9HlFUAQB2SsqvQXqUC79Strm5mUyJEhKWzZs3Hz58+OzZsxzH\nzZs375Zbbrn88stH26gkJhEFR2JCekYCIQTzKLSGo//TLWlO2tslhQbptxwddhCVtCxCQnH2\n7NmtW7f+4x//AICPP/64urr6Zz/72RVXXKGtVCDEAhEcw4D0jARCCL5J4d9y9H95JG0d5EeS\nAkRzEJKNW2+9laKoqqqqn/zkJ1dddZXZbB5ti1IHIjiGB+kZCYQQXEdjCehH/DSHqkqP8ERz\nEJKG++67b/78+enp6aNtSAqSHE6jCQXxdCMQQvBtGq/0G9X4h6w87JGIDykhWbjxxhuJ2tAJ\nMsIRDVrPSF7ICISgfJfGCOhHveMc2yRFAOkxlmLD7QlGxjkIo87ChQuDfu8fNIMQHURwRA/p\nHAmEobiBxgjo1V7NsVNSfqmqT3AMH24bUtKsCKPLunXrfMeiKJ48eXLnzp1kXWRcIIIjJkjn\nSCAMxXdozAH9X975lD2yepdHXMcx6RFoDiAjiIRRYubMmf4fKysr582b9/zzz69atWqULEod\niA9HrDQ3N5O5ZwIhKAtp/ATP+AKGHpHVJW6xI7JtSEmzIiQIeXl5ZCf+uEAER3wgnSOBEJQr\nKPR7/sI+pM2KWuMSW+SIIoiSZkUYFnGpML0X09HRsWXLFhKqPi6k+JQKxpiihtzt0FeHQpzj\nn1ToE1paWiZNmjT4VwihSNKPDu0WwtoWI/rZr1mudxaFrgZxQdcsinv+hE1Qq1dxaRcAcDmG\nZzG61yX0qgAAZ1X1TqewnqanR/DboM0qQqt0LXctD/ULTw86t4uR6ZooitLvUT3Y/khKPGz8\n8B/+8Icej8f/G4ZhVq5cGZ2RBH/CRKBOdjweT+gOkWEYVVWlCFbtHTt2LMKLTps2zXesXV1R\nInqfiwKKojDGkiTpV440TUeSP9GBEKJpWlGUsL1A1FAUpSiKrvmDEBJFUaf0tV41iiJgGGao\nf4VtF5HfVOTtokFWftHraPeObfAIrbUYrmGHNDIA/2YVFu3BI8uyfk1P13YBw+maoiP1uiat\nKoatJ3a7vbu7O8QJ586dC7A5KyuL47gIrZo6dWqEZ45BUlxw2O32EJ0mQigrK0sURbvdHjap\nYQ3W+fzdeJ7HGDudzsh/OywsFgvHcTabTb8HdmZmZuj2GQsMw6Snp7tcLofDodMlzGazIAiC\nIOiUvtVqxRh3dXXplD5N00ajsbe3d7g/zM7OHupf/f39brc7xG+tVitCKJJyH1a76FDhXrfY\noAz0OQhgMUvVMJG+ZEfuRmowGEwmU29vr37lnpGRYbfb9RvhyMrKEgQhinKPEJ7nEUIul0un\n9LWuqbu7Wz9NY7VabTab72PkvsZhK7bb7f7kk09aWlpkWZ44ceKCBQsij9lGBEcIiA+HLhBP\nUgJhMDkI/mRgKqmBMXYV4AVBXhPZtmBAmhVhaOJYMVpbW2+99dYNGzY0NTWdPHnyueeeu/XW\nW1tbW+OV/liGCA4daW5ubmhoGG0rCIQEwgKwnmcW+sWRfVtS7nWL9ohHCojmIOjKunXrpkyZ\n8vrrr//ud7974oknXnvttUmTJv3xj38cbbtSASI4dOfEiROjbQKBkECwAI8b2cUG32pZ2Cur\nd7jFRiVS0UGGOgj+xLcy1NXV/fSnP/XFhjWZTD/5yU+OHj0ax0uMWYjgiBTaFb0fBukfCQR/\nEMByI/9fHM14VzC0KurPXeLH0jDm+0mzIuhBbm5uf3+//ze9vb35+fmjZU8qQQRHZChK6T+3\nTtn6bsaZFojWTYz0jwSCPzfQ+FmOzvRqDifAf3qk9cLw/J9JsxrjxL3077zzztra2v3790uS\nJEnS3r17N2zYcOedd8b3KmOTFN+HI14wRw9x/b0AUPT5zmxrVnt5RW/+eIhqfTnZtplA8DGb\nwpsNzAMeuV5WAEAFeFmUj8rKap7OHk77Is1qbKKH1vznP//Z2dl53333YYxVVVVVFWP86KOP\n+k744IMP4n7RMQIRHBGgquznu3yfjLauiZ9+4srIbJ8+yz5uApEdhLFMSUlJjJ1+HkIv8PTj\nHul973zKV4r6E5f4CEdXU8MbgvVZUl5eHotJhLHMzTffvGjRotG2IjUhgiMCEHL/6w/ErR+k\nnz3jm08x9HQXf/ZPd1p6+7SZ9qISNQbZAUR5EJIZrfbGIjs4gN9w9ExKeUqQRBUAoFuF5W7p\ndgYvYeko9sI8ceIEx3Fut3vChAlRW0VIcOrr6/VItqysTFXVAwcOtLS0IISKi4srKirI1uZx\ngQiOiJBz8lou/6bBbsutO5TeesonO/hee9HeT8WjBzoml3WXTFboSLdNDIAMeBCSndhlx800\nLkPMQx7xnAoAoABsEpW9ivQISxXiKLt7f3tI+yJEgs1me/DBBxsbG/Py8gCgra1typQpjz/+\neHp6+miblvQQwTEMXOnWlsuu5u09ufWH/L1HGUf/uANf5h492F0ypWvyNNFoii59MuBBSHZi\nlB0zKPQXI7vaLe3w7oB+WFZ+4lLu5+gb6Vg93AdbRRpa8tLc3Gw0GvVIuba2lmXZV199NScn\nBwDa2tpWrVpVW1tLwqnEDhEcw8adnnFq3lVtM2bn1h/JONWEvBv30qKQe/xIzomj9vFFXaXT\nHDl5UV+CKA9CUhOL7LAArOXpN0T5aUHWtiV3AjzqkT6R0EpueJ6kYYkuXgFh1NF1XdL+/fsf\neeQRTW0AQF5e3i9+8YvVq1frd8WxQ2IJDlmWN2/evHv3bkmSqqura2pqBgegevPNN7ds2eL7\nSFHU3/72t5E1EwDAY047Pffy8+UV2SfqMptPUN7dmZGqZpxpyTjT4k63dpVOdUyaqrBs6KRC\nQJQHIXmJWnYggB8y1CUU/rVH8gVe+VRWb3GJ97PUt6Nx6ogDATdiNBpdLpd+sVTa29slSSoo\nKNAjfQJhVEgswbFx48bdu3ffddddNE1v2LChtrb2vvvuCzintbV17ty5N9xwg/ZxdH15RKPp\n3Oy5HeUVmU3HsxqOMX6bg/F22/iv9ygHv+6dOKmzuNRpzYrlQkR5EJKUqGVHKUYvGZhnBfk1\ncWB+pVeFVR75I0l9kKUKovXqSC6ID8pg9N52pbKycsOGDatWrdLCH7a3t7/wwgtVVVW6XnSM\nkECCw+Vybd269d57762urgaApUuXrlmz5s477wxw1Wltbb3qqqsSqvglhm2fNrNjSnl666ns\nhnpjV4fvX1gSMxqOZTQcc6VbbSVTbEUTZTbSMMdBIR0QIRmJTnawAP/OUvMp/IggtXqHOj6T\nlVvc6s8Y/P/SmB1LaweIazmMSCSdZcuWPfjgg7fcckt+fr6qqm1tbaWlpcuWLdP7umOBBApP\nX19f/6tf/erVV181mUwAIEnSzTffvGrVqsrKSv/Tbr311rKysqamJo/HU1ZW9vOf/3z8+PG+\n/zY1Nb3//vu+j9/+9rfHjRsX4qIGg0FRFI/HE9a8yEOi8LaujGNHLScbsRwYBVOlqP7xRb2T\npjgKClUch21eKYrCGIuiOGXKlNhTCwrP86FDmccCxpjjOEmSRFHU6RIMw8iyrF+MbL3DfGOM\naZqOIsy6LxjEYNxud+iGrwXj1qncT5w4gRDCGMsR7ynqVNWnnZ7XPaJ/KRZhvMLEzWeCvDVh\njCmKkiRJv/6Npmkp0jC30cAwjKIoobMollZPURRCSL9bYFmWoqiwNW1YBHTCQYsgbJ44HI6w\n4elVVd23b9+pU6cwxsNdFkvC04cggUY4bDYbTdOa2gAAmqbNZnNAzejt7e3r60MIrVixQpbl\n119//eGHH37mmWd87sotLS2bN2/2nT9v3rzS0tLQ18UYh+iafQz2JhkKOTe/Kze/Z96V5sbj\nlmNH2J4Lt4Bk2XKq2XKqWeH5/pIpfSWTPTl50W0dFmDbyZMn/b+ZPn16jGn6E0n+xAJN0zSt\nY1XUNXENvbMovulTFBVJfdbppioqKgCgrq4OR6y50wF+zbLfFaVf9zoapYFn8ClFWd7nms3Q\n95kN1WyQ29G73CPvE6IDYxw6i/xbfXRNXu9b0JRrvBhs7eBvwlZah8MR9kIIoaqqqoQaR08N\nEkhwqKo6WEUGCHyTybRp06bMzEztzNLS0ttvv33v3r3z58/XTpg9e/azzz7rO3/ChAl2u32o\nKyKE0tLSJEmKpApG8QrbP7G0c/I0Q2d72on6tFPNWLrwEo/d7rS6Q2l1h0STuWdCSV9xiSsj\nc7jpw9CvEV9//bXvOKzkCk1aWlpvb28sKYRAk5gej0e/QRSDwaDrCIrFYkEI6ZdFFEXxPB9J\nFQ0gxLYBoig6naGCEep9UzRNT5482el0NjY2Rv6raQB/MTB/EfBGQXJ5K/wBUbrD1ldN4zs4\nZp53Z1KaphmGEQQh8kGU4cJxnCAI+jmN8jwf4eCrhq/JR9jeWZZFCEWe/nAxGo0Mw/T19cVr\ncHFwVQk6+Bqiw4+QhQsXBv1+27ZtMaZMSCDBkZmZKYqiy+XSJKosy/39/Zrbjg+KorKyLnhf\nmkymvLy8zs5O/0Q0FxANu90e4kmjqRZVVSN5GkXXc2GMnVk5PZZ0XFGV3no682SjqbPNP/wb\n4+jPqT+UU39IMKf1FBb1FhY7h6M8tNzvFBsAACAASURBVP5OUZQQrfr48eMB3wxrGjjC/IkF\nRVH0u4TeUzaaUNY1/bjnT9gEtXqla7nTNC2KYlFR0bBm5SmA22l0PUU/LcjbpAvx7L+QlC8k\nTxmFf0Dj62hsxhgAwk5JxIgsy/oJDojWfq29h23j2pSKfkWs9UiiKMZFcAStJKqq+vJHUWGL\nJN9M49jvaN26db5jl8vV2Nj4/vvv33333TEmS4CEEhxFRUUcxx06dEhTDEePHsUYBzSbvXv3\nbtmy5bHHHrNYLADgdrs7OjoKCwtHx+LhoNCMrXiSrXgS4+jPPH0yo6WJ67tIibP9vbn1h3Pr\nD4sms33chN5xExzZudHtmB6WgNY7xt3QCKNLFP6keQit4eifMuozgrRHvvDIr5eV1bKyzgM3\ncMr3KXpy/I1NGlLJwzRs3VAAVgvS+5KyU1bfkRXLMEPwBDBz5kz/j5deemlaWtratWvffPPN\nEZicTW0SKPuMRuPChQs3bdqUlZWFEHrxxRfnz59vtVoBYPv27YIgLFq0aMaMGX19fb///e+/\n973vsSz717/+NS8vb+7cuaNt+zAQTea2spltZTMNPd0Zp09mnD7JOC8aLWcc/dkn6rJP1Eks\n25c/vq+gsD9/nMREv5lHWMgOjIRRJwrZUYbRep7Zr6ibBPkz+cJrdB/Aqx7pVY+9mMILMJpP\n4zI8llaz+JECy+kjURu/9UgfSgoAHJaVW1rOvFMygYprgVdVVZWXl3d0dJBtUWIkgVapAIAs\nyxs3bvzss88URZk3b97ixYs1n6Bf//rXDofjqaeeAoCWlpY///nPx48f5zhuzpw5P/vZzzIy\nMoZKMOyUSlZWliiKkUz7Rbcci2EYhFCoJQaqauzuzDjTkt56KkB5XDgFIVdWTl/++L78cc50\nq7+TKc/zNE07nU79VmGYTKYAB4JIOq8Is4uiKIPBIIpiwFxyHPtHs9ksCEIUqzwixGq1Yoy7\nurp0Sp+maaPRGIU7RcB0pD/9/f2hnWasVitCKKwzf9QwDMPzfF9f3+B/RdfQjivqX0T5Y1kV\ngnVoOQjmUfhSCs+lcE6cnkR6b/xlMpkkSYqvb5N/s9J7dZXFYuE4rru7O5auKXRlMBqNPQ7H\nrwX5E2+cYQzwxLi82zKHfCJo6FexgaxSCUliCY64kwSCw4eqGm1daa2n0ltPc/1DPl1kjuvL\nLejPK+jPLRCMplERHHFkKMERQCz6gwiOwSSy4NCIrrnZVPU9Sf1fUT49dLeWj9FMjMoxmoLR\nVIyt0eqPZBQcGlprSnzBEb4OGAzLbL17vXNqGOAhjr53Snif2dAVO0anUSI4QpBAUypjHYSc\nmdnOzOzzs6q4Pnv62TNp584YujrQxT0a5fFoEzEAIJjM7oJC97jxYnqmh4vn8rNEgzidjDVK\nSkqi0BxWhH7KoJ8yuB7hfyjqR26hQwkUBOcV9byi+h4d6QgmIFSE0XiM8gByMc5GkIlQBkCq\n7mWqZSzDMPpt3hM7YUvfpsIve/oP+6mN/+Lob8cc4Q+I06ieEMERKbFH344cjyW9fVp6+7QZ\nlOCxnD9rOdea1n6WGjQGwDr62Yb6tIb6XADBZHZk5Tpy85xZuW6zJfa9PRIZoj/GArG0uFk0\nNZfj7mOoQ4K4U1L2KEqdrAZ90barYFfVwxd0yYVVIRaE0hBYEDKAakSIV4FHwCLEAbAAjOpm\nJEnrQBEgMwQqGxHADeBRwQ1qPyCXqrpUcAH0qaoI4AJwqxAwAcQgMCBkBsjEKE92ZIM6QVEm\nYVSCQI89VU+cOOEbAE6oRhS20E+q8O8u8aw391iEHuWob8bmK+qDOI3qB8m+4RG0WeqnQmSW\n6ykq6Skq0SZcLG3nzG1njd2daNAoJevoZx391lNN2q8cWTmurBxHVrYrI0vWeW+fUWcMOr02\nNzen/D1qRDfUoYEAyjEqZ6mlQPWp6teyekBRDytqnaxEsvtEn6r2qQADSmLQ1Imow4JbFQbW\nzCsqSBdsZBBMQ6iCwnMoNBsjqw7iI3HcS8MW91eK+iuX6JuNMwI8ydFzKR1fsYjTaLwgPhyR\n+nBEjn+DGYYPR8RgSTR3tpvazpk72gx2G4QuQYTcljSXNcuZme3MyPJYrQoeXrDNRPDhiAWO\n42RZnjBhgk7pj7wPR4QrHpPah2Mww5IdDMNwHOd2u4Nu3S0DnFLUBkVtVNQWRT2lqmdUcCVJ\nT4gASjCqwGgWhWdRuCjaqR/NH3+o7jF22RGFD0ckRfyGKP9BuBAzIhuhp3i6zC8LIrE8bMU+\ndOiQ0+mcPXs2z/NBd6QMAfHhCAEZ4Yg/Aa7gw9pLMRIUmunNH9+bPx4ATBiZuzqo0y3GznaD\nrQsN7jRVle+18712a0sTAKgIedIyXOlWlzXTnWF1p2dKrI4LbhOHlBkFGZlJvQQkjnOaFEAJ\nRiUYXev3pV2F86raoarditoJYFehV1V7VXACOFS1H0BUwamqIgL38JUJixCnqmkYGQB4ACNC\nBgS0ChwCzu9h1qeqbhUcoNpU6FDBEUwDqQBNitqkqP8rKQBgQKgUo6kIKihUiXG8guiO/DYe\nYUtWUNXfico7fgNLU2jq9wzOj7evzUsvvbR582ae50tLS//4xz++8cYbO3bsePjhh5Niw6cE\nhwgO3ZkyZYpvG+m4Py1klnNMmOjMylUUBUuisbvL1Nlu7O4wdnVSYpBhFaSqvN3G223a5AsA\niEaTOz3DlZbhTs/wpGV40tKHOwQSCViSsCRiWaZEASkK9r5XacHbGEmiFUWlaYlmJJ5X6JGY\nA0qcMeTIGbNqw0csMyyhSUeQjtA0QBBZ9VcMRofLCQCi3+iIDOAEMAFo3gQGhBh04WPkaKtU\nOgXxiNvdqKhHZOWgorYOcoAFAJeqHpbVwwBvSQAgj8foCoyuonEVxkzMD+KRkR2RFOgZRX3I\nI9X75cBlFFqXYcGuUDv0R8e77767cuXKq6+++s477zxy5MjVV1/9+eefr1+/fu3atXG/1liD\nCI4Rxb/pxr3fVGimPze/PzcfAEBV+b5eQ3eHsbvLaOvi7bbBbh8ajNPBOB2Wc60DnxESDUaP\nySyaLKLBIHE8ZbbQsiLTtEpRqp/PFJJEJCtYkbEsY0HAskRJIhZFShAoSaREAXs8tHYgCEGG\nXkLcCKYko1E0mASDUbBYPCaLYElzW9J0EiLJojyI2tAYSfftEJgRUAipqgoIdPLRzsDokv+f\nvXePjqO68333o97dLam7Jcu2ZNlCfgO2ZRw5JDg+gGfOYUISLnNuLpnJjROQEryykmDGOcMM\n3BVIYoasOwTmxsEMy9hjZyYzMLlwQnwnmZgAiU88E0jAYPwEW7ZBtvVs9bO667XvH4WbtqRu\n9WurH/p9FovVVS7t2rVf9a29f/v3I/g6gpFAEEIjjB222RsOe8N2zjhT28AOOOxZhz1rOT6E\nbhTIHwtkHS01LDU/2ZFnJR6wnIcNK355CMEIfV4kX5UEL0bllxsIWZa1cuVKSZJuuOGG06dP\nr1q16gtf+MK3vvUtDreadYDgqBhcxQfCONnQmGxoDC1ajBDCtq1GxtXQqBoaU0KjajSMs8Vo\nYMyVIGh4sMxZyhvi2FIsKsWinivPm5on6WtINvqTDY2ppkDS1+jQck7GVK3yOHnyJL/gdjUK\nv6mOqqUZ400C3oQQQjSB0FHbOe6wUzZ7h7Fzk/RHFKEXLOcFy2kh+BZKbhXpotJEURl7R/4V\nF2XsUcP+N+vDh1Mxvl+if1yO7a/Z6O7uPnz48Pz581etWnXw4EGEECGEn6OjWQUIjqqAr/hA\niFGa8AcT/g/i3mHHUaIReXxMDYeUcEgNjwtJXv5/ysgHkzGDF91DhrHh8SYb/cmGplRjU9LX\nmPI1sFI/5xC6sgoqLj5Onz4tzQ47m0KpkqmOiqAh9BFKPkIREhFCKIrQYdt53Wa/tZ2zV668\nDDtsn2PvM+1rCf6MSDdRrJU2H1OEOVRxdfSfNvtuyhzKeJough+WhU7ODlK+/OUvb926FSGE\nMf7d73734osv7t+/v5p9ltQQIDiqDt7iAyHECNEbm/TGpvHLZ6iRUsIhJRKWY1E5FpFiMVGP\nk6ks/KfFFkVHlGxRskXRFiXH/SGIjiTZouhgwkSRYWwLIrpsw2FblpOII9sWjBQ1UqKui0ld\nTMSkeJzYWfOAGZNjUTkWbRw4/8FzYWx4fMnGxlRDU7KhSW8KpLy+Ih4hkwpOe7i3JuWQUHXM\nbJYdaXwIbaBkA0XfQPQ9h71iOwdsdsK+4qP8iMOOpKzvY7xJIJ+ieF351ienLHzXCXI8Hi9i\nI+QYQ39nfBAeJc1tAvkLWZCLz2a+7Ny5MxQKPfXUU+7hjh075s2bt23bNv53rn/qfFusZVk0\n56x7OkL9TOWoeI4fPz75JNf8E8uieoKaBjYMYpl4kv5wJIkh7IgSE6gjiEyWbVEqdD079yPQ\nRFyMhKVoWBwPSeMhKRwS4rH8E3dE0Qi2JJvnpJrnJJvnWB5vQXnLxooVK9K/eVTBhLrGeIp+\nmpmHKcmxl88wDDGnd5YZ6BdTPlSJZJYbj/QzmYH0UWlVcNayf5Yyf5pMXbSnWA5YJNBPyeKn\nFLmtTP6yJlBc/m2EntVT/09Mj2T8YZDgb/m0m+WJ83zF9YvR0dHc22L/+q//ure396qrriok\n4x8C22JzUOeCoyJ+ODJRFIUQkt6lUhYyvydmSSyVK/7EMOTIuBIZV8PjSjgkh8eFqfbjTIml\nanF/UPcHE4Gg7m+2y7FUoWnaypUry+WHY/LHIiFEkqTJNhyzzQ9H/vT39+f2w1EWaiWWisPQ\nHxznBct52XIm9xOM0GpKbqL4JoHOKetKRREzHL+2nB+a9oQloZsp+R8yndLXmaZpk4fWsvjh\nKAUQHDmAJZXaI7NHXbx4sYI5qQi2JCWa5ySa56TPCHpCiYSVaESOjCvRiBIJTXYDn76yUU80\nXngPoQ/sauPBOfHmObE5cy1FLTpLx48fLyKgbppZvhxQdjo7O1VV9Xg8b7zxRqXzUnkIdq09\nSFRGPzftn1nOyYw3OkPosO0cttHjhr2M4I9RcgMlK8sb3D0Pfms5T5v221dKjXkEb5PoBj4T\nMEBFAMFR2yxdulSW5VAoZNv2rH1vWaoWU7VY64deh4VUUh0PqeOjamjMExqdehWGMSU8roTH\ng2dOIYSSDU2xOXNjrfPiza2lO4OftXVRVXR1dblOfqE6EEI+hD4r0s+K9KTDfmbaB2wWyph7\ncBA67rDjjv20aS/A+JMi+RNafp9aEzAZesm2/8l0TlwpNSSM7xBIr0iVeg4JNRsBwVE/zIC1\naa1gyUq0dV60dR5CSJZlHI9JQ5e00Kg2MqyOj9KpVtmUyLgSGW9+9wTDWPcH4y2t8eY58UCz\nXddheGcJ6a4xy/uFyzKCl8nCN0Xxt6b185R50HImLEu8x9iThv0UsjcK5HMiXcNBdpxl6Oem\n9YLFRq9ccMEI/RElX5WFeSA16hEQHPXJhCn9WT7OWoqanL8gMn8BQggxJsci6tioZ3TYMzqk\nRMITgtFgxrSxEW1spOXkUYSQ4fEmAs16oDnhD+pNAQfCRdYyIMrTCAhtFIWPIWbI6D8s56Dt\n/IfDhp0r5jxetpyXLWc5JX8qkD+mWC15peWUww7Zzq+uXNZxwQhtEEifSJdxnlYBKgiMnrMC\n0B8fgnHK15jyNY4vvAohRI2Ud+iSd3jQO3RRjkYmX+6G4W167yz6IBJNo+4P6o3+ZFNAb2yy\npRnYpgdwATqFi4TQRoFsFAhD6KTDfm45v7DsUIYeOGE7223n7zC6gZKPUvwRSlvylgQ2Qmcc\n9qbD3rSdP1wpaNIICN0okM0iXQpSo94BwTEbmbGhdlrbSVEUGxsbdV3PsRGG65vAluRw+8Jw\n+0KEkKgnvIMXvUOXvKND4lRmH/iy2Yc//eeybDb6LV9jXFYMzWOqmqV5TFWzOUyEUMMQU0kh\nEReTuqF5UKU9ktUZOdpq6S2wUCcu7gY6wzDcKMEzI4YwQssJXi7Rr0n015bzL5bzZsZ+2hhD\nv7CcX1gIIVtCqIXgZoybEApi1EiwF2Ev+kBMpBAaZihk6f0Oe8eyjey7VFoI/oxA/jdKWkBq\nzA5AcABTjIZ5DnAz4wsr213KPgqbqhZa1BVa1IUQEhNxz+iwFhrVxkaU0CjJ4gmeplJ06BIa\nujTBv4dDqS0rpqLakmSJEhNFS5SYIDBCbUFgmCCEGMZMFLFl4suffdS2sOMQ08C27Qam+cAT\nmmGQZJI4H+ZhrHMx6vloeR8fyMaULbCpqSkcDs+MW4EpM8BPhQgI3SyQmwVyzGH/atoHJu2n\nNRAacNgAyv3sWYInINSI0UaB/leKrys5zgtQW4DgAKYgc4ALBAJct60XTdE6KR9MzTOuecYX\nLEKXJzbU0IjmBqPJHgkvDbFt4oak4YNYVs8uQC0yAypkJcHfkoWtEtpv2b+ynKNZIsblg4jR\nCoLXEfJxgVxNMA+dUfEoBMC0gOAA6gdOEoRhrDf59Sb/WOcSlI5EEw4p0bAcjajxqBCJ5HDB\nzgNRT2T1ZwfMYnisljZg9Gci/TORRhH6veW867AhxkYYG2FojLFxhMypZjoaMG4X6FWILcFo\nBSUrCS5jQCD3Mf1+fygUKl+qAHdAcAD1TGdnp9frNQzDMIxyffylI9G4h5qmYYyTY6NyIi7o\nCTERF5K6lErSZFIwUtQwqJGilpk1PG8WPghJI4iOLDuqagiiqaiWrJiqZqqaqXkWlOVhgLqm\nvPuB3ZD3N046rzMWYyi97EIwDmDUWEIslcnA7EV9AIIDmC1wdcZgy0pCVtDleLyTwYxRy8SW\njR0bITTBHbtDqEMpQsgWRURops1pNtfmAJA/XBu/irHKwegTREb9UV2Cw7btvXv3Hjp0yLKs\nnp6evr6+ySGm8rkGAHLA1fgjGwxjS5TQ5aaab/QXACgr6cb//vvvVzYn2QCdUcdUl+DYvXv3\noUOHtmzZIgjCzp07d+zYsXXr1iKuAYCCqIgEAYAKsnjxYozxsWPHKp2RDwCdMRuook1Juq4f\nOHCgt7e3p6dn7dq1d99998GDByfEcc3nGgAonc5JVDpHAFB+Kt68K54BYCapohmOc+fOJZPJ\nNWvWuIerV6+2bfvMmTPd3d35XzM0NPTWW2+lr1+xYkVDQ0O2O2KMEUKEEFnm5S9SEASMMb/0\nCSEIIUmS+IWn55p/Sqn7f663EEURl+yVefny5VOef++99xBCAjeX5xhjQsjk9EspsWnbPMaY\nd73z7ncIobLUezYwxpJUxo0XExNHMzs0pZv3u+++W5b03aFJEIQpjUYXL15c+i2Ka6KpLKGk\ngRmgigRHKBQSBMHj8biHgiB4vd4JHiCmvebo0aP33Xdf+vCJJ55oa2vLfV9Kqc/nK88zZIHf\nqOGSLhBO8C4fSZL4jd0IIa5WPitXrszzyuPHjxd9F0WZGEOulEoRRVHTtGkv413vvK2vVFXl\nmj7v8hEEYeaHpvTHWynNNVv6K1asKD3NTIooHxAcFaSKBAdjbPLniH3lZsJpr+nq6vra176W\nPmxpacnhMxtjrGmabdv8tgC431hujGweyLIsCIKu6/xmODRNS3BzM0UpVRTFNE2uRWTbtmXx\n8pOhqirGOJ8i6ujoyPZP77zzTrZ/IoRQSs1JEW5zNGyXHDLUsqzcBe7KEa71LggCv6FfFEV3\na49d4G7k/FFVNZlMcvI0OjNDE0JocrtKk26uORpn7vQJIYZhMMaWLFninpy20RaEqqq6rpcx\nQYA3VSQ4AoGAaZq6rrvfJbZtx2Kx5ubmgq7p6OjYvHlz+jAcDudokW6vdhyHX6tljBFC+KUv\nCIIgCLwHVn75F0VRURTLsvjdglLq+uHglL6iKBjjEvPf3t6e/j3BXpUQgjGe/GKY9o45BMe0\nb7KyPFQOXCHO9W0hSRLXepdlWdd13oKD69CUZxXkaJw5WLFihSzLY2Nj/AZYRVFAcNQWVSQ4\nOjo6ZFk+cuRIT08PQujYsWOEkAnGRPlcAwA1jdueYZsMUIXAYAuUQhUJDk3TNm3atGfPnmAw\niDHetWvXxo0b/X4/QuhXv/qVYRi33HJLjmsAoJ5Ij+znzp2rbE4AAADKQhUJDoRQb2/v7t27\nt2/f7jjO+vXre3t73fOvvPJKPB6/5ZZbclwDAHVJV1eXpmlvvvlmpTMCAABQEtUlOCilfX19\nfX19E85/5zvfmfYaAKhjOjs7YZEFAICapoocfwEAkAPwjwQAQE0DggMAagmQHQAA1CggOACg\n9gDNAQBAzQGCAwAAAAAA7oDgAAAAAACAOyA4AAAAAADgDggOAAAAAAC4gznFAgAAAAAAAEgD\nMxwAAAAAAHAHBAcAAAAAANwBwQEAAAAAAHdAcAAAAAAAwB0QHAAAAAAAcAcEBwAAAAAA3AHB\nAQAAAAAAd0BwAAAAAADAHRAcAAAAAABwR6h0BvgSDodN08z2rxjjYDBommY4HOaUAUVRCCGJ\nRIJT+j6fT5blUChk2zanWwQCgbGxMU6Ji6LY2Nio63o8Hud0C6/XaxiGYRic0vf7/YSQ0dFR\nTukLgqBpWiQSKfQPm5ubs/1TLBZLJpM5/tbv92OMuda7oijRaJRT+qqqejyeSCTCr96bmprC\n4TAnT83u0GQYRhH1nieKomCMdV3nlL47NI2NjTmOw+kWfr8/FAoV8Yf8GjZCaOnSpfwSr3Vg\nhgMAAAAAAO7UeSwV0zQJySWqKKWMMX4aHGOMEOJXyIQQjDG/6Q2EEKWUX/oYY0II1ypw0+dX\nBZRShBDXIsIYF1E+bsamxDCMHP+Kqvih8k+fEOI4Dteuxy//CIamPChuaAqFQjDDUSnqfEkl\nkUhMu6RiWVatL6lEIhGuSyrFzVvmg7ukkkwma31JhV8R8VhSMQwjnyUVrvU+A0sqsVisppdU\nTNOs9SWVcDhchUsqQKWAJRUAAAAAALgDggMAAACoefr7+/v7+yudCyAXdb6kAgAAANQ3oDNq\nBRAcAAAAQE0CUqO2AMEBAAAA1Bj9/f2Dg4OVzgVQGDMnOMbHx/fs2XP48GHDMJYtW/bFL35x\n0aJFCCHbtvfu3Xvo0CHLsnp6evr6+kRRLOI8AAAAUPfArEbtMnNGo48++ujZs2e3bdv20EMP\nqap6//33uzuadu/effDgwS9/+ctf//rX33jjjR07drjXF3oeAAAAqFf6L1PpjADFM0OCY3R0\n9M0339yyZcu11167dOnSbdu2IYReffVVXdcPHDjQ29vb09Ozdu3au+++++DBg+FwuNDzM/MU\nAAAAwEwCOqOemKElFcdxPve5z3V1dbmHlmUZhuE4zrlz55LJ5Jo1a9zzq1evtm37zJkzqqoW\ndL67uzudcqaXLcdxXId6U5L+pxzXlAi+DKf0M+/CNX3eKddBFXBNuezp506Q001nPn3oFzlu\nwbV8SqmCTHmRT0PNfWYC9e1cu8qZIcHR0tLyuc99zv2dSqUef/xxn893ww03vP3224IgeDye\nD3IjCF6vd2xsTNO0gs6nb3Tw4MFvfvOb6cMnnniip6cnd95EUQwGg+V60ilRVZVr+k1NTVzT\nn4Hy4VpEsizzS9yFdxGVN31Zlr1e7wzfdMpscE3f5/NxTT8QCHBNX5Ik3lWgaRrX9P1+f55X\nHj9+PP07PcJPy+Qrpy2xkZGRPBMHys6M7lJhjL388sv/+I//2Nra+thjj/l8PsbYZEFq23ah\n59O/A4FApsLQNC2Ha3OEkCiKjDHLsop5njxwI7nwc+5LKSWEWJbFT7YLgsCvfDDGgiA4jsPP\nNTullGtMDUEQMMa5m1kpuGFBiiifHMbUjuPkznDVPlSeEELcQBv8uh7XfoHqdGg6efJkGW8x\nZTgbfo0WKJ2ZExzhcPh73/ve4ODg5s2bP/GJT7i6IRAImKap67r7gWvbdiwWa25udoVC/ufT\nd1m9evUTTzyRedMcFh51E0slGo1yjaXCr3zcWCqpVKrWY6nwKyIesVRM08wnlgrXep+BWCrx\neJxrLJVIJFJnsVTKaCqhKIogCPF4nJ/W1zRtciwYMOmrZmZIcDDGHnrooUAg8IMf/CBzEq+j\no0OW5SNHjrjTEseOHSOEdHZ2yrJc0PmZeQoAAICaJi0p3AkwmA8AZpIZEhxvvfXW6dOnP/OZ\nz7zzzjvpk21tbc3NzZs2bdqzZ08wGMQY79q1a+PGje6yX6HnAQAAgDSwswOoNmZIcPT39zPG\nHn300cyTX/nKVz75yU/29vbu3r17+/btjuOsX7++t7fX/ddCzwMAAMw2QFUANQSu7z1C4XA4\nx5xheqG01m04QqEQVxuOzH1A5cW14dB1vdZtOEZHRzmlz8OGIxaL5WPDwbXeZ8CGIxKJcLXh\nCIfDXG04DMPIVu+l6wzeSyozY8MxeWjNZ4WdX8NGCC1dupRf4rUOxFIBAACoDWA+A6hpQHAA\nAABUOyA1gDoABAdQA0wYbWFfEjBLAJ0B1BMgOIBqJPc4O/lfQYIAdcbx48e5OhYDgJmnzgUH\npTTHv6a9/fMLcE8p5Zq+6y5QEAT3Byf45V8QBIQQIUQUxdOnT6fP5664yZw/fz7bP4mimOlx\nMh3Qp1y4rYhrE3LLp4xpTpugGwKjth5qQvoIIUEQ+FksuuVT9vTdXoAxdu3NC+0I+eOOGGVJ\nnyEUZSzKUAwhnbEkQzHEmGElDStps7jjIIRSCBnoQyfRFmKJyyXXcKXzaAkx1+O9irHo/h8j\nL8IyRgpCDRhrGHkQkjDGGE/O/7SNClyPVJA6FxyiKE7b/gghiqJwyoDbH/hFSHJHDVmWuQ6s\nnMrn1KlT7pDhOI7jOJxeP4QQjD/cjTWlNCnFsNx9N/NrQq4X8PKmTynNR4vzeyj3Vcq734mi\nyPWFXcZYMKdOnXJ/ZPaCGfhWmXZoSiEUcpyQw8YYG3OccYZGHGfMYSHGQg4bZyzkOLGpxx5e\n+4NcZIQaYqkGghsRaiKkkeBmJGSs1AAAIABJREFUjAKEPKgouR8JBEcFqXPBkUwmc2+LlWXZ\ntm1+2/NmYFsspTQej3PdFlvG8pmwGkIpVVXVtu1UKlWuW0zAreLcs9NvvfXWhDP5r9G422L5\nNSF3W2wR6ed4Hebp2pzfQ83AtlhBEHRd57otNhaLlS70p1w9dGMM2badu5pKIb0tNsTQIGPD\njA0xNMrYGEMjjIUcNobQGEN6tfpNSCE07DjDH0xcfjD6eTHaxq1RAaVT54IDqAZq0fANzEQA\nrlSkU4wzdpqhftt5n6H3DHvAYQO2w0vpVwI/4jWXDJQFEBwAL2pRZ+SgenbKuDkBAVSjzFi/\nCDE2wNA5h5122DsOe8dxxso0W6FiHMTIj1Ajxo0YNWLsRciHsYaRdtneokGSfIJg6rqIkLvI\nITCmTreCE2fIwQghpDNkMmZinGQsyVgKoRhCSYbijCUQijEURShByLhljzMWRijksBRCfo6W\nbEAZAMEBlJ86kxpTkn7GwcFBjHE8HuenAE6ePMlvah2YMfj1C52xfobOOKzfYe8zNuCwAcbi\nRckLCSE/xi0ENyLmx9iPUQDjJvc/hIIYNWE8jZUEQgghRaCCQOMkw5l1HqZsnsuX+PDl6zFG\nWeYtJngaTTCWhBmO6gYEB1BOZoPUyEYZV2EykyKESJJUfLaAKoBHv0gw9nubve6wN2znpMOc\nAv+8leAFhMxFbB7G8whuwbgFoxaCfWXP6EyhYaxNfxVQSUBwAGVjNquNKYECAVC5m8FFhl6x\n7N/a7A3HMfOew2jFeDFBXYQsJriT4IUY+yQITw/MNDMtOCzL2rx585NPPunzfaCkf/KTn+zb\nty99AaX0+eefRwjZtr13795Dhw5ZltXT09PX1+eaVWc7D1QQeLMCwJSUq2sMOOyA7bxkOSec\naVRGAKM2jNsIbsN4AcEdBC+s5XkLoJ6YOcFhGMaJEyd+8YtfTNgLNzAwsG7dultvvdU9TO8L\n371796FDh7Zs2SIIws6dO3fs2LF169Yc54FKwUNtYMbEeFSORaVEXIzHRD0hGClqmsQyHUId\nSbJEyVJUU/OYqmaqmiXLtqwijBxKHcLL9QIA5E9Z+kWIsV9a7N8t++3sOmMBwWsIvobgqwi+\nimAfN68/AFAiMyc49u/fv3///skzeAMDAxs2bFi7dm3mSV3XDxw48I1vfKOnpwchdPfdd2/f\nvv3OO++UJGnK842NjTP2IECaMkoNKR5TQ6NKeFyJjCvhcSkRw06hq9ITYYTYVGCybFPBkiRL\nVmxFtRTVUDVXrBia5lBYVQTKT4ldw0LoVynjuUTyoDG1AxkNofUC+Tgl11PSAgKjrDz22GM3\n33zztddey89h46xl5kbb22+//fbbb3/33XfvvffezPMDAwOHDx9+7rnnUqnU8uXL77rrrra2\ntnPnziWTyTVr1rjXrF692rbtM2fOqKo65fnu7m73zNDQUKYTpxUrVjQ0NGTLktueyusxcAKC\nILjuxTil77oLlCTJKfn1nI1s+X/33Xddx+TFQWxLGRn2jg5po8PKyDBJlX8XBnYcwTGQaeRY\ncrMl2fB4TY/H1Lym5/J/mtfOu8rcVlRKUUybPiFkcvqlNKpp27zrPpVfu3Vdm3PtdwghURT5\nvTMwxlMa87777ruohPbwvsOeN6wXDHOUTeEgownj/yLSmwTaIxCptEeb4IG37KSjLnB1glxE\nv5jWx+Crr776wgsvtLS03HTTTTfddFMpboiBCVT48y4SiUSjUYzxtm3bbNt+5plnHnjggR/+\n8IehUEgQBI/H80EuBcHr9Y6NjWmaNuX5dIJHjx6977770odPPPFEW1tb7jxQStMGJZzgN7C6\npAuEE5PL5/jx48X4pWZMGR1WB95TL74vD13Kfw7DlmVHUR1JckQJWxYxDWqkqK6jkmUWNVKq\nkVJDoxNzKgiWx2trHkvzmB6v5fFZXq/la7S8PjZV2Bp+XrqzpV9KoxVFUdOmt+jn3S94W1+p\nqso1/bL1C4Rsxn5jWP+sJw+lzMlt2oPxzbL0J4r0MVks75DNTyi78B76iugX0wqOH//4x4cP\nH/75z3/+zDPPPPPMM+3t7TfffPPNN9+8YMGCkvIKVFxweDyePXv2BAIB90Okq6tr8+bNr732\n2pSfJrZtM8amPJ/+vWzZsr/+679OH86dOzcWi2W7O8bY4/HYtq3rehkeZircB+HnX1lRFEEQ\nEokEvxkOj8cTj8fTh+4HXEEQx/ZcHPANnPcOvEeT0xS1Lcmpxiaj0W/4GlK+BtPrMz1eR5ji\nzYQdR0jqQjwmJHVBT9BUkmQWguNQyySWTWyLGimSStJkkqaSOL/vLWxZYnhcDI9POM8wtjxe\nw9eYamg0GhpTvkanZY6jqPyq2P2Mm7wWmaNhu3i93mz/ZFlW7mFX0zTXuUj++SwISqkoivyc\ni0iSJElSMpnkF3BV0zRd1zM/34voGgihCGPPG9YzKfPiJCsNgtA6gXxaFm8WBAUjhBw7lSpX\nCAM3ygy/kAiiKBJC+IUsQAhJkjS5303bL6YFY9zd3d3d3X3gwIF77733xIkTzz333N69e5cs\nWeLOecyZM6fEW8xaKiw4KKXBYDB96PF4WltbR0ZGrr76atM0dV13v1Fs247FYs3NzZqmTXk+\nncL8+fNvv/329GE4HM4xqLmCw3Ecrl6VCCFcAyIIgpBKpfgNHJqmpfNf0Mo0Zsw3eKHp/Fnf\nxfdo9t13jqIkgnPijU16oDnR6LfUSV/eDKEsf26IEmoK5M7GFbFUGBNSSVFPiEldjMfERELS\n41IiLsVjwnRKKP1QYiwqxqKei+9f8Qi+pmSTP9nYlGwK6L5GVr6YYYQQQshkwTFto8ohOKYN\n0uH2L67tlmu/cNc7DMPgqvWTyaQrOIqz2DjrsH+xnH+z7OQkDTwHoz/V1M+INGAaCDFk8dq9\nWsZtsRO8zvh8PlmWx8bGcn8LlWLsIopiEf2iIK677rpPfepT99577x/+8IdXXnll3759Tz31\n1EsvvVTGW8wqKiw4XnvttX379j388MPuPFgymRweHm5vb+/o6JBl+ciRI65x6LFjxwghnZ2d\nsixPeb6yTzEbKGhckOIxf/87gXOnxSxTR7YsR+fMi7XMTbbOI3Nazek+uMsGxpaiWoo6OVvY\ntiU9flmFJKREXNQTgh4XE3E63VcySSa9yUve4UvuIcM41dCkN/p1f0D3B/Um/5QzNEB9UMQr\n8/c2+yfLPmRNnNMgCK2n5E8FskGkPo9qWVayKt1klHHInZBUdW6wP3/+/KlTp/r7+9PfukBx\nVFhwXH311dFo9NFHH73tttskSXr22WdbW1vXrVtHKd20adOePXuCwSDGeNeuXRs3bvT7/Qih\nbOcBfuQ/CkixSOuJt5vOnZli5QLjRFMgOq89Or890eh3/RZTSqcNrzAzMEpT3oaUdwoTY2oY\nrhaR4zEpFpViESUWFRNxlGV1BjOmhENKOOQ/fwYhhDBO+hqS/mDCH0z4g8mmgMMtZjowk/T3\n9xdkEekw9Gvb2Wvaxyatnvgw/rRA/lQg7QSjbK68Z5yZ/5bLvGM1iI+9e/e+/fbbFy5ckGV5\n/fr1d9xxx/XXX1/pTNUwFRYcmqY99NBDTz/99COPPCLL8po1a+655x53cbG3t3f37t3bt293\nHGf9+vW9vb3un2Q7D/Cgv79/aGgonyuFVHLe2280nT09UWpgnAg0j7cvDLcvMmvz48CWJF2S\n9MYrdC2xbTkakSPjXj0uh8fF0WEpmwRhTImElUi46dwZhBAjRG9o0oMtiUBzItiS8oJPptqj\nv78/H6vbTH5rOT8w7TOTpMZCgu8Q6S0UaxVV3lU4T+xmaeZlx4ULFw4cOPDLX/4SIfTSSy/1\n9PR86Utf+vjHPw5zG6XDcVtUNRAOh3MsUmKMg8GgaZrhcJhTBhRFIYRkRhgqL+5CaSgUKrsN\nR7qfTzAanQxmLPjuidZjb1HzivVyU9XGFnWFFi02PFmNCSilqqqapslvSeUKGw4OpO0rqWXJ\n4ZA6PqaOh5TQqBoZz2cbji0r8UBzorklFpyTDAQney1zY6lMXpme9g2Rads0gVgslnup2+/3\nY4wz93+VF1EUFUWZ4AOwjKiq6vF4IpFI2W040v1istFoNk457HHD+r098cqPUPxnonA9wWSS\n0nDNyyzL4mTm0tnZqSgKxpifvXyeNhz5M1l5TAje5pKPcsrdsG+88UZK6dq1a2+88cYNGzbk\nsIWaEthGmwPwegRMpKBPCnV8rP21Q2o4lHky6WsYWrEqvGARq47lkpnBFoREsCURbHEPseMo\nkbASGtVCo+r4mBoO4alEIU0lGy6+33DxfYQQozThD8ZaWhPNrfFgi8N5yyJQEEV8aicZ2mXa\n/2ReUfEEoY9RcqdIrqEzFEy9CmcvimDGJjy2bt26ceNGcCbJAxjRgA8pbBOK48w5fmTOybcz\nv+NNj/fi1WvGFyzKJxR1fcMI0Zv8epM/1LkYIYQdRw2H1NCoNjaijo0o0cjk9Rds256RIc/I\nEEJHGCF6oDna0pponW/Nm8aXDMCbIt5zv7Wc75n2pYw1FIzQTQLZItKOyXMaZaU+FMaUzIDs\n+PSnP80v8VkOCA7gAwrqw0p4fMGr/ytzYsMhdHjZyuHl14Cz8ClhhLhGo6NXLUUIUdPQxka1\n0SFtdEQbG568bRg7jjYypI0MoeNHHEoTza3R1nmx1vl6QyOIuZmkiHdbjKHHTfsF84oJrWsJ\nvkcWruUmNepYZEzGfdjBwUEeiW/atGnK8y+++CKP280q4N0AFDikMtb87om5R94gzofjabx5\nzvvrPgb2j/lji1K0dV60dR5yd7VExrWRIc/IkHdkSNAnLksT2/YOXvAOXkDoD5aiRue2RefO\nxx0dZfT2AUymuM/o39nOd1P2YMb0lQ+hr8vCp4Xya41ZJTIms3z58tdff73syT7++OPp36Zp\nnj179je/+U1fX1/ZbzQLqXOj0WlNolRVdRyHn8Wi6zmYn8WiJEmU0rQDoiJ45513cl8gCEI6\n/0JSn3fo11qmzytBGFnzkdDSlcV9drtuNB3HKcjodcmSJe6PaTOPEKKUOo7Dr5274XLK6EBJ\njIa1oUvapYva0AUhi7mxQym67yGU0zV4DqP6aRuM6zGan2MuNzoMP69cgiCIomgYRtHG1AX1\nC5cUQo8nkv+cNDNL9hZJ/B+aHChcbIiiOGW/SDf+Eqn+oWlaXN9r6MrKmrZ84vF4odbQFy5c\neOqppx588MF8Lgaj0RzU+QyH4zg5bKRdL+mMMX69zg2CxS99QRAopbZtF2cKno8zZkEQ3FHP\nN3B+/qv/i2aIMz3YMnD9JwxvQ9ExTdwIT5kD6+LFi6f9q3R55vOFpyiKZVk5qqA4j9Rp3PBU\nZdwlZGve5KLFY4sWI4TkaNgzeNE7dFG9eCFzE1BizjwJY1Rsu5pW4bkxBPi1W0oppZRf+m67\nKm53Up7twRXK6bfpCdt5QDfO2B92hADB96vSjQJFzCm0daQDOEzuF+UqNLeI+FWBGyin6KEp\nH9JDtzsOuBXH44laW1tPnTpV9mRnIXUuOCzLyr0t1uv1cp3hcEN98kvfjVdZxJdc/tPFsiw7\nyeS8t/4QPPNhl2MYD61YNbTiWlbCaw8htHTp0sbGRl3X0ztvy15Wrv/jHB/TBcVkmlxukiTx\nezdbqke/amlk+TUpXVdHh32DF32XBrTxsUjrPN90BZUjitW0bd51MsGv3YqiSCnll74bijZ3\nvU9JAT7uJMmyLMaYw9A/Wvbfm3bmzMZNAvlLifpRkR8zbqhex3HSjbPsZeV+C3EdmtyoC/wE\nh6ZpmflfsGBBf39/6U8UiUQyD1Op1P79+yFUfVmoc8EBTElBi9Py8FD7bw7IsQ9dJhge7/me\nG9L7P4ugdteeJ+fc7/cTQn7/+99zvS/DONE8J9E8Z/Dq1UIqyTABe5nyUpzFxkWHPWTYr2dM\nbHgw2iYJnxRK2vLa2dkZDAYNw5jw8gNyU5aB5bOf/ewE1SKK4v333196ygAIjtlFYRtfbXvO\niSNzTryd6Tx0fOFVA2t67KICi9euzpiWmQwJYcnFBEAHslF0Zf1P037csOIZExtrCH5IEeeV\n8DFcx32kVtizZ88Eu5NgMCjLcqXyU0+A4JgtFDqqaqPD7X/4DyXyoQ9WW5IG1vSMdxQzIM62\nYbTaQkIAU1J01Qwz9L1I/DepD5dLBIS+LNEviMU785ptfaQKcY1J582bZ5rmwYMHz549KwhC\nZ2dna2trpbNWJ4DgqH8KHVVpKjX36OFg/zuZnqlic+a+t+5jpuYpKCkYQ1FGIYDyqB6KrguH\noedt54eGFcv4Bl6E0bcVcXmx+16hm1QDv//97++///4HHnigq6vrL/7iL2KxWFdXF8b42Wef\nDQQC3//+93PECgDyBARHPVPoqIodJ3j65JxjbwkZGyIcQbx0TfdI19KCNr7CGDqZSgWjAtKU\nWPinHPZ/G/abGRYbBKE7RLJFEoqbcIduUj3s2rXrrrvu2rBhw7Zt25YuXfpXf/VX7ubwRCLx\n3e9+97HHHtu+fXul81jzzLTgsCxr8+bNTz75ZNqE3rbtvXv3Hjp0yLKsnp6evr6+9H6qgs4D\nmRQ8sDLWNHB+7tuHpdgVRmrx5jmjG24ez9t5KAyg0wITHhWhxNIeYexJw95vXbHjYgHB/5cs\nrClqYgN6SrVx9uxZ18foiRMnvv/977tqAyGkadrnP//5v/zLv6xo7uqEmRMchmGcOHHiF7/4\nxYQQkbt37z506NCWLVsEQdi5c+eOHTu2bt1axHnApYiBVRsZmn/4NW38Cmc4lqpduKZ7vKPT\n4/WinNFiXWAALRSY8JgZSizhKGP/ZDr/YjmJjBVGAaEvacpmwqTCvVpBT6lOfD6f6yhy0aJF\nodAV0ShHRkbmzp1boXzVFTMnOPbv379///4JXjF0XT9w4MA3vvGNnp4ehNDdd9+9ffv2O++8\nU5Kkgs5DZL/iRlVqGK3H3mw+fTLTXIMRMnrV0sFruu28o5XCGFo0IDv4cfr06VL8o6QQ+hfT\n3mfY0SvPr6bkLyW6yqPoul6Q3IBuUs185CMf+du//duvf/3rX//61//mb/4mHo+vWLGCMXbk\nyJGnnnrq3nvvrXQG64GZExy333777bff/u6772bW3Llz55LJ5Jo1a9zD1atX27Z95swZVVUL\nOt/d3e2eOXr06I9+9KN0+l/84hen7eSU0hwukkqEUooxptxiXgiCcPz4ccuy0hOA+eM7d2bO\na4do8kPv7wzj6FVLR1attTxeEaH0SlWOxEv04+u6O5Qkyf3BA9cZK79dbYQQjHGJTWjVqlUI\noSm9Gbq+4yZXQSl3FEUx90KkWx38+gUhhF+/O3XqFCGEECKKopC3aJ7Ar03rkVhy4EqnVXMJ\n+Zom3yqL+LJvrjxTK66bCILAdWhClx2c88BtYF6vl59rc0JIEeUzYYo9zVe/+tW///u/37Jl\niytSv/Od76T/CWO8ffv2f/u3fys6q4BLhY1GQ6GQIAgezwd7HwRB8Hq9Y2NjmqYVdD6d4NDQ\nUGZMv9tvv33aQcF1SljOp5oEJ8Fx/Phx90ehowbVE83/+RvPuSu+qvW2jtGPXG80BdCkZpEt\n/RUrVhR036z5oZSfJkPcyj+TsjSha6+9Nl2nE5hcBaXc0X0ZT3sZ735R9vTd0kuXVXH1ftyy\nt0fir5tXTI34Cen1KH+mynKG6XQ+/a6UPjIDQxM/weHiukLmRxHlk01weDyee++995577olE\nIuFwmJ+D1NlMhQWHG7Jhwknbtgs9n/790Y9+9Kc//Wn6UJblCatxmWCMm5qaTNOMxWJFPsB0\nyLKMMS57EKwzZ864P1z/wbqu5/kZgRnznznVeuQNanzoSs9S1EvdPeMLFiGE0KRoYaqqTo6B\nd9VVVyGEcpRtnrjfcMlkctowe0WjaZppmmUMrjaBhoYGQsj4+HhZUnOXitP1iy6Lg8kOm6ct\nfL/fn+2fDMPI3ebdNcpwOJzjmlIQBEGW5XgetkH5kFlcLu4UTiqVKsjlf4ixnYb9Pw0r81Wj\nIfR5Sfi8LGjIsfUPI/mmI4dlo5Q+MjNDE+Lpvd7j8UiSxPXN3dDQUHZPrISQpqamxsbGN998\n89y5cxjjhQsXrlq1Clybl4UKC45AIGCapq7rbmRL27ZjsVhzc7P7ksj/fDpBVVXb2trSh+Fw\nOHcsFfdHGSNvTcBxHEJIGdOfcrGfMZZPr9ZGh9veeFXNNA7FeGzR4ovXrrUlKUcAtgmJd3Z2\nluuJ3Kn78gY/m4BbOPzSdylv+gsXLkQZdT1l/ZZyx2kLnDF28uTJOXPmFH2L3BBCylLp2Wxf\n3OLKs18ghJIM/Ytl/8h0ohnCnSB0q0i3iCSI8cQ+gJCbfjahX2IfSceV5Do0YYy59jvEOXgb\n4jN0h0Kh++677/Tp066/r8HBwSVLljzyyCNgKVg6FRYcHR0dsiwfOXLENQI9duwYIaSzs1OW\n5YLOV/YpZoASjQq1kaE5J482XBrINA41PN7313401jov/3RmQ1FXD52dnZU1JnXvXoWVXsZi\nMRDabzlPm/awc4V0WEPwvRJdXrjj0CosLqAgduzYIUnSP//zP7e0tCCEBgcHH3zwwR07dkA4\nldKpsODQNG3Tpk179uwJBoMY4127dm3cuNGdCi70fL1S0tjKWMOlgZaTRz0jQ1ecJmR4yYqh\nlaucvB1sIBhJK0FnZ+e5c+cqm4fqkR3llV9hhv5fy37WtMeunKSYg9HXJeGPhGLca1RDKQEl\ncvjw4W9/+9uu2kAItba2fuUrX8m0IQWKpvKeRnt7e3fv3r19+3bHcdavX9/b21vc+TqjxLGV\n2HbTudMt7xyXoxPXOKOt8y6s6Un5GgpKEEbSStHV1aVp2ptvvlnZbFRQdpR9muekw/7VtP/d\ncibYL2gI/Z8S/TOBqIUv2EMHAYBpwfz2LFUD09pwBINB0zT5GccpikIISUyyxMxBQcOroiiC\nICQSifRCqZBKBk+faj59kqYmWrTFW1oHl19b0BoKQui6667L3AdUXkRRbGxs1HW9XPaDk/F6\nvYZhGIYx/aVF4YanHx0d5ZS+IAiapkUikQkNY9o3XI7QD7FYLLfBo9/vP3nyZLZKKf3lKoqi\noijZ9gu4lKIzRFGUZTmZTGb64TAZesm2f2KxTN/kLhJCt4v0SyLx5y01NE1LG2uXXW24QxPX\n8PSKomCM+Rlr+3w+WZbHxsb42XD4/f7ibHJzD2jf/e53L1269OCDD7o9aGho6KGHHpo/f36e\nSyolegqobyo/w1FxTp48WQ1e5Er/jJOj4ZZ3jjedPUOcKw2pMI7Max9aujLRXLANIHy3VQ8V\nN+lIk84Gj+bB4xkvOex5y/6p5YxN+rxqxOhPBfpZkQaK3YUAfaTO+OpXv3rffffdcccdc+fO\nZYwNDg52dXV99atfrXS+6gEQHAhxHkDzvHUpeIYuBk8cbRi8gK6cr3IoDS3sGlm6IuUtbAEF\nwTBalVSbW9JydRxOT+Qw9FvLec5yfmtP8ZW9mOD/XSC3CFQpQWrU9wzx7MTv9z/55JNvvPHG\n+fPnCSGwLbaMgOC4ghlbqC7LCIttu+HMO/4TR+SxifP5lqyMdi0b6VpqywV7IEWgNqqb6pnq\nSDM5PzmaUH9/P6VUFMWy+6dJc8lx/r+Y/hM9ecmZKAgEhDZS8t9Fcl3hO1AyWbZsGb+lWKCC\nuFttV69evXr1avfMhFWhGXAkWK+A4JgCfhMe5XpPCEk9ePpU8MwpYZKhRsrXOLxkxfiiqxxS\nTK8AqVETVH81VUQSGYwddNgLpvM725g8pdFC8G0CuY2SlqLiu6ap/sIHSsGNGZuDl19+eWZy\nUn/UudGoaZq5g3RQSo8dO5ZPISxfvryIDGCMT5w4UcZCVgcvNpx42/veWTxpklif2za+8tp4\nWwcqavYv2wNSSvl5B3IDheTvoKkI3PT5tXP3c4drEWGMiyifHN9hhmHk/kqjlB4/fpxfpaQd\nW5UrwTdN62cp8+cpIzxpSgMjtF4S/g9FvlEWS//ASncTQghXl1aUUq79ouxVMAE3xhBXh3vF\nDU2hUCi30eiUIY0yyW0WCkajOajzGY5EIjHtLhXHcfIx1X799dcnn8z81pnyk04URYxx6Vsk\nBMNoOnc60P+OEpk4i8sICS9YNLxkpd7kRwihws3O3afIZu8dCARKd2GeDXeXSjKZrPVdKvyK\nKL1LpdA/zLFLxTCMaXepMMYK2l1VEOVaUjnnsH+3nX83nfemenEGCP4kxbeJdAHGyDaNhFlK\nI5jQTZqamsLhMKcXdnoDXa3vUuHq2rzoXSq5Wbp06ZEjRxKJxOrVqxVFmTKeBlAcdS44eMN7\n3hgz5r10wX/+TMPAexP3niBkyUp42crYimujbErPy9MDk8NALXKWoV9Z9kuW886k+QyEEEHo\nYyL975p6PXOwXXx4+jTQTWYV//AP/7B3715FUbq6uv7u7/7uX//1X1955ZUHHnigvb290lmr\neUBwVCWMqWOj/vfPNr13VkhO8QmSCLaMdC0Lt3XIHo8gCJMjruUDDKNADeEgdMR2fmM7v7bZ\n+al0BkKok+A/EcifCHS+JMqylEwmS5Qb0EdmIT/72c/uv//+T3ziE3feeefRo0c/8YlP/Od/\n/ucPfvCD733ve5XOWs0DgqO6UEOjje+fa3r/nBSfIkqkLYrjCzrHrlr6wepJscAwCtQKMYZ+\n5zgHLeeQzcazrF80Y/xHAvlvAllRmjVoJtBHZi2WZa1cuVKSpBtuuOH06dOrVq36whe+8K1v\nfavS+aoHQHBUBWpotPH9800D56XYVEu2GCeCLaMLu8ILFjlCSVUGwyhQ/TCETjnsd7bzHzY7\nbE9aSryMH6MbKdkk0LUUl7TD9Uqgj8xyuru7Dx8+PH/+/FWrVh08eBDxNxCePYDgqByMaaHR\nxoHzjQPnpdjUPp5T3oa3ZPUnAAAgAElEQVTxjs5QR6fh9ZV4NxhGgSpnkLHXbPaq7bxqT+ES\nNM18jD8hkI0Ud9OcO9AKB/oIgBD68pe/vHXrVoQQxvh3v/vdiy++uH///iVLllQ6X/VA5QXH\nT37yk3379qUPKaXPP/88Qsi27b179x46dMiyrJ6enr6+PlEUc5yvFbBte4cHGy6813DxPTGL\nibihecILFo23L9T9wdLvCMMoULVcdNgbjvOGzV632ZQ7TVwIQisp2UDJBooXl2/dJA30ESDN\nzp07Q6HQU0895R7u2LFj3rx527Ztq2yu6oPKC46BgYF169bdeuut7mF6A9Lu3bsPHTq0ZcsW\nQRB27ty5Y8cOV3VmO1/lCEm94dKA7+KAd/ACtaY2ZTM1z3hbx3j7Ij0QLM6XRiYwhgJVSJKh\nE45zwmZHU9brhjmcc1epD6GPCuTjlFxPiZ/PzkToJsAEbNt+8sknr7rqqkpnpA6pCsGxYcOG\ntWvXZp7Udf3AgQPf+MY3enp6EEJ333339u3b77zzTkmSpjzf2NhYmdznhNi2Z2zEc3FAu/Ce\nGhlHWT7gDI833NYRbl+Y8JdBZyAYQ4FqYoihfsc57aBTDjvlOP0Oy+2qiSJ0NcXrCfmoQK4m\n5TTOmAB0E2BKHn744UpnoW6pCsFx+PDh5557LpVKLV++/K677mprazt37lwymVyzZo17zerV\nq23bPnPmjKqqU57v7u6u3BNcAbEsLTTiGR70Dg+po8OTnWekSTb6w/PbI20delOgXHeHMRSo\nIKOMXWBowGEDjJ132HnGzjkslodnLILQEoLXUvIRitdSovHMJPQRAKgUFRYckUgkGo1ijLdt\n22bb9jPPPPPAAw/88Ic/DIVCgiB4PJ4PcikIXq93bGxM07Qpz6cTfPnll7/5zW+mD5944gl3\nLiQHlFKv11v8MziOFB6XRoeVkSF5eFAaG8HZl6IZIcnWeYkFi+ILFlm+BoQQRaiEe3/Adddd\nV3Iaucjhs7IsqKqqqiq/9BWlmAh2BcG7iMqbvizL07Z5jHH6GoOxJEIxh8UYiztsnDnjDht3\nnGHGRmxnyGGXbHvQYalC3G4qGF8j0m5R7BbpdZLo4+DMMbPeV6xYUfb0g8EymFjlQJIk3u0q\nPZZyIhAo29fUlBRRPiMjIzxyAuRDhQWHx+PZs2dPIBBwTTe6uro2b9782muvuR7BJ1xs2/aU\nXmYz3en7fL7MkUVRFCuLwYSLIAiFBtqgRkocD8njY/LYqBwaFcdGyXTeDC2vLzG/PTF/QWJe\nu5M2cS3HPquVK1e6AQv4xUQQBCF3GZYCxphS6jhOTcdSwRhzLSJCSBExI4TsO6gZY7kzzAi5\nfjjEGHIwimXxslUoMsZLKFku0KsFeo0oLBMFkq4UxpyyVlBmAJply5YhhMpeQVxjDKHLQxO/\nW7hBpvj1O979AvGvAqDsVFhwUEozvxI8Hk9ra+vIyMjVV19tmqau6+6Hr23bsVisublZ07Qp\nz6dTWLdu3Y9+9KP0YTgcHh8fz3b3aWOpEMuSEjEpEZciYTkWlWMRJRKe0vXnZGxZiba0Jue1\nJVrnx5TLn++mibLHdsmf9LSwYRiyLEciEX4dLxAI5CjDEnFjqaRSqVqPpcKviCoVSyXqMAch\nVKwM0DDuILgDo4UYX0XxVRh3EPxBvDhmUxshghPcwtOLorhmzZpIJGIYBqeqgVgquXFjqUQi\nEa6xVPj1O4AHFRYcr7322r59+x5++GGfz4cQSiaTw8PD7e3tHR0dsiwfOXLEXRA5duwYIaSz\ns1OW5SnPF5+DZFIZHhSjEWoYQiopJHXBSAlJXdR1MZmgqVQBSWGc9DXogZZ4c0s82JLyNaLL\nwdtQ+d52sAINzAwixvkskTRiFMS4FeM5GLViPJ+gNozbCG6uULwrt4NwXaEDAKA4Kiw4rr76\n6mg0+uijj952222SJD377LOtra3r1q2jlG7atGnPnj3BYBBjvGvXro0bN/r9foRQtvPF4Vy6\nsOAXPy3ubxnGKa9Pbwok/UHdH9CbgjY3jyCgM4AZ5r8pErEshJCEmIywhpGMkAdjH0Y+hJow\nbsTIj5BUHYE0oYMAQPVTYcGhadpDDz309NNPP/LII7Isr1mz5p577qGUIoR6e3t37969fft2\nx3HWr1/f29vr/km288WB1Xwt4hnGhseb8jUmGxpTDU3JhsZUY5NDaCl3nxYYRoFK8bBP47fO\nVS6ggwBADVH5bbELFy789re/Pfk8pbSvr6+vry/P80UyyUjbEURTVS1ZMVTN0jyG5jE93pTX\nZ2heVmZPylMDYygA5AA6CADUKJUXHJUFa55LG25OIGzLsiXJtqLwnrTIBgyjAJAN6B0AUAfM\ndsGBCIku6uJnqp0bGEYBIBvQOwCgzpj1gqMSwEgKAFMCXQMA6hgQHDMHDKYAMBnoFwAwS6hz\nwUEIyeFv0XVa6npy5JQBjPGyZctyO1kqMX102akfp1ugnD4rS8TdkZS7mkrEdWbKL30XrkWE\nMS5v+tMm6DYnfv1i6dKlsizz2wXjtiuu9e6WIT/HXyiPaioFHu0qE7fxCILAz/FXcfnn6vwU\nyE2dCw5Jkqa9BmOcz2WFsnTpUnR54OPnhshNX1EUfq67Mcb88p8elfjdQhAEroKGEMK1iFzB\nVN70BUHIR3CUvV+4nQIhRAgp+0Nl4vYLSZK41jvvGD0zUESzcGiKRqM8MgPkQ50LjmQyaWZ3\nJY4xlmXZcZwyzkCk54fdZq0oCiEkkUiUK/0J+Hw+Smk8Hufq2pxfF3VdmxuGUeuuzfkVkeva\nvIj0ZVnO9k+maU7r2hwhVK5+MaFTIIREUVQUhV+hqaoqCIKu6/zqvampKRaL8ZvhkGXZsix+\nRTQzrs1jsRhX1+agHmqLOhccMwasQwPABKBTAACQCQiOUoFRFQAmAJ0CAIDJgOAoEhhSAWAC\n0CkAAMgBCI6CgVEVACYAnQIAgGkBwVEAMKoCwASgUwAAkCe1Jzhs2967d++hQ4csy+rp6enr\n6xO5BYVPA6MqAEwAOgUAAAVRe4Jj9+7dhw4d2rJliyAIO3fu3LFjx9atW/ndDkZVAJgAdAoA\nAIpgJuKtlxFd1w8cONDb29vT07N27dq777774MGD4XCYx706OzthYAWATKBTAABQNDU2w3Hu\n3LlkMrlmzRr3cPXq1bZtnzlzpru72z0zNDT01ltvpa9fsWJFQ0NDttSy+Q9evHhxuTIsCILr\nw6dcCU7A9dQpSRJX/8H88p92Qc31FqIo8nP97qbMtYoJIeVNf9oE3Yfi1y8opWV/qEzcnPOu\ndx4eitOJozyqqRR4D01u13Y9K3K6RXH5T6VSPDID5EONCY5QKCQIgsfjcQ8FQfB6vWNjY+kL\njh49et9996UPn3jiiba2ttxpTnBRvGLFirJmGSGebyOXdIFwwufzcU1fkiR+YzdCaAasfHgX\nUXnTF0VR07Tc12CM0/2CR6dA/OuFn99uF96VLggC71vMwqEJBEcFqTHBwRib/MmS6dW7q6vr\na1/7WvqwpaUlh89sjLGmaY7juO7PlyxZghAqr49t9xuLn39lWZZdF878PiM0TePnmp1SqiiK\naZpci8i2bX4Rm1RVxRjzKyJCiCRJRXgZzzHWW5aVu8A1TWOMGYbBo1Ogy2HV+A39oii6hcbP\n5b+qqslkkp9rc03TbNvmF/fRVXs5Ij+UiDs0JRIJfrFUVFXl55od4EGNCY5AIGCapq7r7reL\nbduxWKy5uTl9QUdHx+bNm9OH4XA4R4t0ezVjrL29HSHEo+0yxggh/HqFG4WL98DKL/9uTA3L\nsvjdglLKNZYK75gUgiBQSotIP4fgmPZN5s5ttLe3c3ouV4hzfVtIksS13mVZ1nWdt+DgV0Tu\nx9sMDE38voUURQHBUVvUmNFoR0eHLMtHjhxxD48dO0YIKdGKbdmyZeXIGgDUFcuXL690FgAA\nqCtqbIZD07RNmzbt2bMnGAxijHft2rVx40Y3siUAAAAAAFVLjQkOhFBvb+/u3bu3b9/uOM76\n9et7e3srnSMAAAAAAKah9gQHpbSvr6+vr6/SGQEAAAAAIF9qzIYDAAAAAIBapPZmOMoL1/0d\nCCHbtvkZaSOETNNkjPHbeIY4b1t3HCeZTPLbs4oQMk2TaxWkUil+3qUQQo7j8NtqkQ3ed0zv\nReeEuw2Ha73zLqIZGJq4tttaH5oAHmCuDQIAAAAAAADBkgoAAAAAADMACA4AAAAAALgDggMA\nAAAAAO6A4AAAAAAAgDsgOAAAAAAA4A4IDgAAAAAAuAOCAwAAAAAA7oDgAAAAAACAO3XuaTQc\nDudwaIgxDgaDpmmGw2FOGVAUhRCSSCQ4pe/z+WRZDoVC/JwSBgKBsbExTomLotjY2Kjrejwe\n53QLr9drGAY/v5B+v58QMjo6yil9QRA0TYtEIoX+YXNzc7Z/isViyWQyx9/6/X6MMdd6VxQl\nGo1ySl9VVY/HE4lE+NV7U1NTOBzm5DjRHZoMwyii3vNEURSMsa7rnNJ3h6axsTF+/l79fn8o\nFCriD/k1bITQ0qVL+SVe68AMBwAAAAAA3AHBAQAAAAAAd0BwAAAAAADAHRAcAAAAAABwBwQH\nAAAAAADcAcEBAAAAAAB3MKdtXVWCYRiE5BJVgiAwxvjtKXXvzm9jGKUUY2zbNr96FATBsixO\niWOMKaWO4/ArIkIIY4xf+bhVwLWICCFFNFFByLrpfdp+UbUPlSeEEDd9rvXOL/+oXoYmfk0I\nFVsF4+PjsC22UtS5H45kMpnbD0cgELAsq3Y3u3u9XlmWo9Eov4HJ7/dP9lPS39/f2dlZeuKi\nKDY0NKRSKX6uSjwej2maXP0xEEL4uXIRBEFV1SJcVgSDwWz/ZBhGKpXK8bd+v58xVoUPlSeq\nqmqalkgkuNZ7JBLh54cjEAiYpsmviGbAD4ckSdFolKsfDn5NFOBBnQuOPD9t+X0GMcYw5j6N\nxPULHl1ZPmR4iF58v+3USenMydRN/7VcKfPO/wxUAdeUy55+7gRnoN1yrZR0oXG9BbSrfNLn\nXQWcEgd4UOeCAyg7yq8P0P7TCkJs0FO64AAAAABmCWA0ChSG1TrP/YETcRzltRQFAAAA1Bkg\nOIDCcObOT/+mFy9UMCcAAABADQGCAygMO0NwkEEQHAAAAEBegOAACoP5GpjH6/4WLl2sbGYA\nAACAWgEEB1Aw6UkOcukCAitxAAAAIA9AcAAFkzbjwEmdhMcrmxkAAACgJgDBARSMPS/DbvQS\nmHEAAAAA0wOCAygYe24bwtj9TS4OVDYzAAAAQE0AggMoGKaqTmOT+5uC4AAAAADyAAQHUAz2\nvDb3B7l0EfEMYQUAAADUByA4gGL40G7UtujocGUzAwAAAFQ/IDiAYkjPcCAw4wAAAADyAAQH\nUAxO6zxEqfsbHJwDAAAA01Jd0WJt2967d++hQ4csy+rp6enr6xNFccI1P/nJT/bt25c+pJQ+\n//zzM5tNADFBsIMtdOgSQoheghkOAAAAYBqqS3Ds3r370KFDW7ZsEQRh586dO3bs2Lp164Rr\nBgYG1q1bd+utt7qH+PL+TGCGcea1uYKDjAzjVIrJcqVzBAAAAFQvVbSkouv6gQMHent7e3p6\n1q5de/fddx88eDAcDk+4bGBgoLu7e+1luru7K5JbwJ5/2YyDMQLuvwAAAICcVNEMx7lz55LJ\n5Jo1a9zD1atX27Z95syZCZJiYGDg8OHDzz33XCqVWr58+V133dXW9qEB49GjR3/0ox+lD7/4\nxS92dnbmvi+l1Ofzle85JiaOMaaXzR3KjiAICCGPx8O4xTTBGE9dPouXpX9qo8PomlVFJE4I\nQQhJkuT+4IEgCJRSmdsEDCEkaxGVKf2yN1FRFCcvVk64KUKoth4qE7fHqarKr97d/PPrdwgh\nQRB4F5E7gPDAbWBer5dfERFCiiifaDTKIzNAPlSR4AiFQoIgeDwe91AQBK/XOzY2lnlNJBKJ\nRqMY423bttm2/cwzzzzwwAM//OEPNU1zLxgaGnrxxRfT199+++3TjjiEEH6jkgs/weEiSRLX\n9Kcun7b2lKohPYEQIhfeF0soQ0op1yLiXf4oWxFVa/qEkNyCg8dNZz79fJ6xFHj3uxkYmvgJ\nDpfKDE05AcFRQapIcDDGJhtk2Fc6lfJ4PHv27AkEAu6VXV1dmzdvfu211zZu3Ohe8NGPfvSn\nP/1p+npZlkOhULY7YoybmppM04zFYmV7jCuRZRljnEwmOaXv8XgkSQqHw47jcLpFY2Pj5IUt\nF3nufNr/LkLIOXcmNDaGCrencb/hksmkruulZjQLmqaZpmmaJqf0GxoaCCHj47yC2FFKVVUt\noon6/f5s/2QYRu4EGxsbEULZ6r10BEGQZTkej3NKX1EUt9C41ns0GuX0+T4zQxNCKJVKcUp/\nBoamhoaGSCTCKXGAB1UkOAKBgGmauq6rqooQsm07Fos1NzdnXkMpDQaD6UOPx9Pa2joyMpI+\no6pq5gpLOBzOMeKk9Y3NzVem4ziEEH7pu+Od4zj8boGyl481r80VHCiRYGOjTlPWN1w23Kl7\nxhjXIuJdPohnE8IYl718pk3QVf/8HooQwrXS3Zcc13p3889PcCDO/cJxHK5V7JaMbdv8BAfi\n2e8AHlSR0WhHR4csy0eOHHEPjx07RgiZYIHx2muvfe1rX0vPiSWTyeHh4fb29pnOK4AQQsiZ\nn+H+68L7FcwJAABAWXjsscfeeustrtY5s5YqmuHQNG3Tpk179uwJBoMY4127dm3cuNGdFv7V\nr35lGMYtt9xy9dVXR6PRRx999LbbbpMk6dlnn21tbV23bl2l8z5L+SBsLGMIIeHigLXy2krn\nCAAAoCReffXVF154oaWl5aabbrrpppuWLl1a6RzVD1UkOBBCvb29u3fv3r59u+M469ev7+3t\ndc+/8sor8Xj8lltu0TTtoYceevrppx955BFZltesWXPPPffMgEkgMCVMVR1/kIyNIITIwHuV\nzg4AAECp/PjHPz58+PDPf/7zZ5555plnnmlvb7/55ptvvvnmBQsWVDprNU91CQ5KaV9fX19f\n34Tz3/nOd9K/Fy5c+O1vf3tm8wVkxW5rdwUHHR7EpsFEvkbpAAAAXMEYd3d3d3d3Hzhw4N57\n7z1x4sRzzz23d+/eJUuWuHMec+bMqXQea5UqsuEAahF7/mXV7zgQxQ0AgHriuuuu++Y3v/n8\n889/73vfW7x48b59++64445KZ6qGAcEBlIQ9/0OLXWEA7EYBAKg3zp8/f+rUqf7+fl3XFUWp\ndHZqmOpaUgFqDifYzFQV6zpCiFwAMw4AAOqHvXv3vv322xcuXJBlef369Xfcccf1119f6UzV\nMCA4gNLA2J7XLpx5ByFEL7yPGCvC/RcAAECVcOHChQMHDvzyl79ECL300ks9PT1f+tKXPv7x\nj7sOooBSAMEBlIrTtgCdeQchhJNJMjrsNINFFQAAtcqf//mfU0rXrl37+c9/fsOGDV6vt9I5\nqh9AcAClYrW1p7em0PfPg+AAAKB22bp168aNG13v/kB5AaNRoFScee3osisUCt44AACoZT79\n6U+D2uAEzHAApcIEwZk733X8Jbx3rtLZAQAAKJ5NmzZNeT4zDjlQHCA4gDJgtXVIA+8hhHA0\ngsPjrLGp0jkCAAAohscffzz92zTNs2fP/uY3v5nsjhIoAhAcQBmw2xegVz/4TQfOWyA4AACo\nTa655prMw+7u7vXr1z/11FMPPvhghXJUP4ANB1AG7LaO9G5Y4f3zlc0MAABAGWltbT116lSl\nc1EPwAwHUAaYotjNc+jwIEKIvgeCAwCAWiUSiWQeplKp/fv3Y3AvVA5AcADlwV6w0BUcJDSK\n4zHmgc3rAADUHp/97GdTqVTmGVEU77///krlp56oc8Ehy7Isy7mvoZTyc+1CKcUYE8Jr6UoQ\nBISQpmmMMU63wBjnUz546XL0+qsIIcSYd3iQtc7NJ3G3ZERR5FcFoigSQiSJVxhbQkieRVR0\n+oIglDf9aRN064XrQ3Htd26/UBSFX727+efU79zv6bLXeybu0EQvb2gvO24VeDwefkMTIaSI\n8onFYrkv2LNnz4Q8B4PBad8jQD7UueCwLMu2/3/2zjw8qiLd/2/V2XrJ1kkgG0sCYQkiIS4J\nowiMMuNw3RhxdFRGFImKo4AM/q4KXFHEEUVFZUSRAcFx7jjiiBgVBS7IprgBInsgrIGEJJ1O\n0utZ6vfHIU2TpdPpnEp3kvo8PDx9Tqqr3lN1Tp1v1/K+anN/RQiZTCZN0xroWQMRRREhRC9/\njuM4jvP5fJqmUSpCFMVQ7EdpPSSEgBAAUIsPyf0GhpI5z/OiKKqqSq+KMMayLCuKQil//ZVG\ntYkxxmHkHyTKlKZpsiwH+W473LeSJNHLHwB4nlcUJfhltgVBELxeLz3BIUkS65qCE2LXFDpV\nVVUAkJaWJsvyli1bjh07xvN8VlZWSkqKgaV0ZTq54FBVNUiPo/+MIITQ65X0twW9/PWHObiu\najsh2c/zfP0yDnT8aKsuucX3X1uQJCn4bdBGCCEIIar5G14/LWaov0fpXVQoNrQF/ec1VcGh\n9xtURzioVpE+wkG7a5JlmZ7gMLbr/uGHH2bOnDlr1qy+ffv+5S9/qaur69u3L0Lo3//+d2Ji\n4iuvvJKcnGxUWV2WTi44GO2J2ivz/DKOqkpUV0tiYiNtEYPBYITE0qVL77///muuuWbGjBn9\n+/d/8skn9TFCl8v13HPPvfrqq/PmzYu0jR0eti2WYRhqr0z/Z/7ksYjZwWAwGK3k2LFjuo/R\nAwcO3H333f4ZSYvFMn78+J9//jmi1nUSmOBgGEagNw7u2NHIGsNgMBihExsb63a7ASAzM9Nu\ntwf+qaKiIjU1pFXwjOCwKRWGYRCzWU1J486WAgB/nAkOBiMClJSUhJJMEASoX6aTlZVF16aO\nwJVXXrlgwYIpU6ZMmTLlr3/9q9PpzMnJIYTs2bNnyZIl06dPj7SBnQEmOBhGomb20QUHqq3F\nVRVaIltmxWBQJER5EUYmXU2F/PnPf3777bcnT56s72ibO3eu/08IoXnz5n3++eeRs66TwAQH\nw0iU3lnit1v1z/yxEh8THAyGoRiiMMIoqNPrD6vVOn369GnTptXU1DgcDnqba7oyTHAwjETN\n6EUEAckyAHDHjsBlV0baIgajM9BuOiMUAzqx+MAYJyQkJCQkeDyeSNvSCWGCg2EoHKf26MWX\nHAEA7uQxUFWg5sqQwejcHDx4MDpfe51bfHz//fcvvPCC7gQskI0bN0bEns4EExwMg1Ez++qC\nA/l8XOlJtWdmpC1iMDoSJSUlCKHy8vJIGxISfvHRaZTHokWL+vXrd9ddd8XGMk9CBsMEB8Ng\nlMy+/qgD/NEjTHAwGKFg+KSJmxAPgIuAD0B3AC4DuOtdo8ZiTQBQNMIDmAEEhMwIrG3wlNBp\nlEdFRcWcOXM6+lVEJ0xwMAxGS+6mJdhwtR0A+JLD3pHXRdoiBiN6CVtn+Ag5Q+AsgTJCyjRS\nRUgFgJ0QBwEHgVpCWgh24Gk6upAJQSxCVkLiMIoHFI/AhlASQgmIJCOUjFA3BLFBY7XrV2Qy\nmXie74hRSPr162e325ngoAETHAzjUbOy8c7vAQCfK0eOahKfEGmLGIwoIgyRUUPgsKaVaOQo\ngeOadpJAmUYljouHgIeQcwCgEoCmSzAjlIogBUEKQmkYpSOUjlAGhqRGQuTo0aOZmZkUzKTI\n1KlTn3/++VtvvbV///6B0YZ79uwZQas6B0xwMIxH6ZMt7Pxe/8yXFMtDr4isPQxGh6NOI7tl\n5Sefuk8jBwk5q9EK8h4GbkJKCJQANFAkZoQyEPTEqBdCfcDXT4IehOjqqh0GDIwqaMGCBcXF\nxS+++GKD82zRaNthgoNhPGqvTMLzSFEAgD/KBAeDERK1AD+q2o+q9pNKjjp9amuGMAQEiYAS\nEdgQikMQi5AFIBaBCSGBEAtC/MWjDxzHAYBPUZ2EEIA6AC8BN4AToJaQWkJqCVQTqAZwhWyG\nm5BiAsW6NpJVcHp4gMEc/jWHfnP0aDJClGSHsctfFixYwJxwUCK6BIeqqitWrNi+fbuiKPn5\n+YWFhbr/3damYUQWwgtqryz+6GEA4I4dRbKPCGKL32IwuiAagX2atk0l32rafpW0+KLDAOkY\n9UKoJ4YeCKchSMWoG0K2YMsqmkAQeACQm5k0CcQHYCfknEaqCJwDOKeRMkLKCTmrQRmAL6gc\nUQB2qdouFd7wqdfweFzxkSs53KSlQbRIc3qirKzM5XK1aH9rMZvNTZ6vq6tzOp0dcVVK9BBd\ngmPZsmXbt2+fPHkyz/OLFy9etGjRY489FkYaRsRR+g3QBQdSFf5osTxgUKQtYjCiCJnAdxrZ\nqKhbVM0e9KUfg2AAQgM53A9DNsaZCMSgazYNRwRIQSiFa6JQAlChkTMEThNyWiOnCDmpkVME\n7I1UiAKwUdE2KlpvjH7P49/xXOLF+UXcs5kfPWZsY+64445//vOfbGKlLUSR4HC73evWrZs6\ndWp+fj4APPTQQ/PmzZs4cWJ8fHyr0jCiASV7AHz1GRACANzhg51ScCC3C1VVkjOnNE0T6uoo\nlYIxBkkS3G7/mfLycp/JnHJlAaUSGVT5yeV5w6t8rZLa5scGemF0pSQO5fAATe2NoF31RWtA\nAN0w6gYw5GIbawk5K4iHNfKN27tVVZ0BF3pcIwt96us+dQhGeTzujUAKVz+JXp9PvWhIyESg\n7XM2CxcubPI8x3EsZmwbiSLBcfz4cY/HM3ToUP0wNzdXVdWjR4/m5eWFnubEiROBCnTEiBHd\nu3dvrkSEEABgjJsbQ2s7giAghOjlr0/EmkwmepOOYdpvNpMevdDJ4wDAlxw2i2KTLkd1+3me\np1dFPM8jhDijHJ5qGio5gvfvUQ7uF5x1AKBvPjQZk3vTkIvz7wVQm9HLPGJU2BlyHBe8wjHG\n0PzYctvhOK5FGyk4Jw8AACAASURBVNqCPs0qiqJh7d4Ivd8grd8pUlznKlKaeFqTEbpK4Ap4\n7kqe685hURQ1TdOjudKAXs0AQCJAiiDkYTyWx15C/k9WVnmVH5ULG3U1gF0a2eVrYetuCzTa\n2duDw4Ut3VTuAO3eJDk5Oc39qX///qqqUq26zk0UCQ673c7zvNVq1Q95no+JiWngX7bFNEeO\nHHnjjTf8hzk5OS0uU+I4zp8hJWivMqHXceuEVz/qkDzl5HEAQB6P+cxpPKDZx1gQBKpVxPO8\nJEktpwuOLKs7tnk2redqawAgsuuGMMZtuWl5ng+lwmk/FzxPt/8xmajqQLBYLGF8605Jmnb8\npFwvVC4R+F+LwihJyBEaLOsEjLEB921QaDeBKIoiwC2SdEsMHFbU/3V5iry+Omo7bhBCLd60\nLQqO5qZU/LBZlbCJIsFBCEGNxtZUVW1VmksuueSFF17wH2ZkZNTW1jZXIkIoJiZGVVUaK490\n9BEOn89HKX+TySQIgtPppDfCERMTUxfWfAHK7Ot/p3l/3KGk92ichuM4i8Xi8/m8Xm/4JgbF\nZDIpiqKHnA4TQvDPP8GGL3mXM0oeGE3TgtzYOkEcM8uyHDxIh9VqRQiF1+6hwHGcIAj0AoWI\noihJktvtblO7B8VisYTXb/AAV/FchUZ+I3CjBT5dX0OpKl71gqkIIUmSNE2j13VwHIcQClI/\n2dnZbcnfbDbzPB/YNfUA6FlcPFU0fy2rG2XlB0WrNNqTSCjPRYu8/fbbhhjDaEyU9J8AAImJ\nibIsu91u/fe6qqp1dXXJycmtStO9e/dAfepwOIK8yXTBoWkavbcdQghjTC9/3S+Nz+droMwM\nxGq1hmm/xYpT07mzpQCADu7zXTeGNBqK1H9nq6pKr4oEQZBlOeyOG1dVwCerrBUNA1uoKWlq\nr0y1e0pMSioymWtovptNJpPT6fSfKS0tVXgho6UaCyI4Wrzn9d/uVBuF4zh6+etjA21p9xYx\nm80+ny+MKRUAmCfg8ws/NbWp2ZULgqO1gin0facmkwkhFOTnfhtbRxRFnue9Xm/gbyHddxZX\nUnKtyIHIVev+RcJdw2EymRpoVsGIm7Zv375tzIHRHFEkOHr16iVJ0p49e/QFofv27cMYN3h+\nQknDiB6UgZecFxweD1dSrGQPiLRFrYEQYdcP4sZ1OOCnp8rzau7lct4Vmi1JP4NsNoyxWllJ\nyQrE82CxqDU1/jMpKWmUymK0D63aZtL5+jf9ikpKShIQSmhq80uIWHjO1fQe2zbBplToEUWC\nw2KxjB49evny5UlJSQihpUuXjhw50mazAcCGDRt8Pt+YMWOCpGFEIfKAQdLX6/W9Kvz+XzqQ\n4EA+n/TFJ8Kh/f4zBCEl70rvVSOIOZyZewajRfzaAiGUlJTk8/lqAoRmJ8MvOyAEUdWem2bZ\nlAo9okhwAMCkSZOWLVs2b948TdMKCgomTZqkn9+0aZPT6RwzZkyQNIwohMTFq+k9uNMnAYA/\ncgj5fETsAB7AsL2K/+A9odbhP+O2JZGbx6nd2aY4hvF0vjGM0Anx2ptMZrPZ7Ha7/tlARdK/\nf/89e/a4XK7c3FyTydTkwkFGeESX4OA4rrCwsLCwsMH5uXPntpiGEZ3Igy7VBQeSZf7gPvnS\noZG2qAW4E8fEj//F++f+EfIVXK1cNbLJbb0MRth0ZZ1hOFlZWUZpjnfffXfFihUmk6lv376v\nvfbahx9+uGnTplmzZvXo0cSyd0arwJE2gNHJUQZeQrjzulb4ZVdkjWkRYf8v5lXv+9WGKkru\ncXd5r7mWqQ2GgWRlZTG1YThG1eqnn346c+bMTz75pLq6eu/evSNGjDCZTIHeFhhhwwQHgy7E\nZFay++ufudMncXVV8PQRRPzpe9NnH6P6/T6euATPvQ8qWWzJOoPRhVAUZdCgQaIoDh8+/MiR\nI+np6ffcc8++ffsibVdngAkOBnUU/zQKIfyeKB3kkLZvljZ8AfW7HNXMvsq9D2rxCZG1isFg\ntDN5eXm7du0CgCFDhhw6dAgAMMYsfqwhRNcaDkanROndh8TEorpaABD37PJF33oIafMGccc2\n/6FyyRD39TdFm5EMBqMdeOCBB/SAoAihHTt2rF+/vqioqF+/fpG2qzPABAeDPhj7hlwmbf8a\nAJCzTjh8QB54SaRtqocQaeNX4o87/Cd8lxd4f/3bsJ0RMRiMDs3ixYvtdvuSJUv0w0WLFqWl\npc2YMSOyVnUO2JQKoz2Qh1wG+PzNJuz8PrLGXIAQ7+oPA9WG91cjvNdez9QGg9FlUVX1rbfe\nWh3A4sWLI+t+tLa29qmnnurXr5/FYunbt+/jjz8e6Hq4pKTkjjvuyMzMjI+PHzly5Oeff66f\n/+GHH3ieD5RKzz//PMdxW7dube8LqIcJDkZ7QGJj5XqvX9ypE1x5WWTt0fF+siq5+MCFw2uu\n9Q0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GRZpto1IYTovbD134Qdt2vq4rz+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\n3L4YQojjOLwfRyh/CCHRKsp4E/A8L4qiyRcm403Fg8edzWYj1+4Mw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mofIn7UWZ4GHCNGjCCEhMNhJ+CwLCsej3s8nlGjRqmqumPHDmfS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\nGxvTvj0UCjU1NfVwE31QWVkprvBCV2A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LKJCCEd2sc5g2eyxbQN7kT2QvtdaKc7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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g  <- who5 %>% filter(str_detect(country, '^A')) %>%\n",
    "ggplot(aes(x = year, y=cases, color=sex)) + \n",
    "geom_smooth() +\n",
    "facet_grid(country ~ sex, scales=\"free\")\n",
    "suppressWarnings(print(g))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}