notebook.ipynb

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    "## 1. The most Nobel of Prizes\n",
    "<p><img style=\"float: right;margin:5px 20px 5px 1px; max-width:250px\" src=\"https://assets.datacamp.com/production/project_441/img/Nobel_Prize.png\"></p>\n",
    "<p>The Nobel Prize is perhaps the world's most well known scientific award. Except for the honor, prestige and substantial prize money the recipient also gets a gold medal showing Alfred Nobel (1833 - 1896) who established the prize. Every year it's given to scientists and scholars in the categories chemistry, literature, physics, physiology or medicine, economics, and peace. The first Nobel Prize was handed out in 1901, and at that time the Prize was very Eurocentric and male-focused, but nowadays it's not biased in any way whatsoever. Surely. Right?</p>\n",
    "<p>Well, we're going to find out! The Nobel Foundation has made a dataset available of all prize winners from the start of the prize, in 1901, to 2016. Let's load it in and take a look.</p>"
   ]
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>category</th>\n",
       "      <th>prize</th>\n",
       "      <th>motivation</th>\n",
       "      <th>prize_share</th>\n",
       "      <th>laureate_id</th>\n",
       "      <th>laureate_type</th>\n",
       "      <th>full_name</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_city</th>\n",
       "      <th>birth_country</th>\n",
       "      <th>sex</th>\n",
       "      <th>organization_name</th>\n",
       "      <th>organization_city</th>\n",
       "      <th>organization_country</th>\n",
       "      <th>death_date</th>\n",
       "      <th>death_city</th>\n",
       "      <th>death_country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1901</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1901</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>160</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Jacobus Henricus van 't Hoff</td>\n",
       "      <td>1852-08-30</td>\n",
       "      <td>Rotterdam</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>Male</td>\n",
       "      <td>Berlin University</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1911-03-01</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1901</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1901</td>\n",
       "      <td>\"in special recognition of his poetic composit...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>569</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Sully Prudhomme</td>\n",
       "      <td>1839-03-16</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1907-09-07</td>\n",
       "      <td>Châtenay</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1901</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1901</td>\n",
       "      <td>\"for his work on serum therapy, especially its...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>293</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Emil Adolf von Behring</td>\n",
       "      <td>1854-03-15</td>\n",
       "      <td>Hansdorf (Lawice)</td>\n",
       "      <td>Prussia (Poland)</td>\n",
       "      <td>Male</td>\n",
       "      <td>Marburg University</td>\n",
       "      <td>Marburg</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1917-03-31</td>\n",
       "      <td>Marburg</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1901</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>462</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Jean Henry Dunant</td>\n",
       "      <td>1828-05-08</td>\n",
       "      <td>Geneva</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1910-10-30</td>\n",
       "      <td>Heiden</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1901</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>463</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Frédéric Passy</td>\n",
       "      <td>1822-05-20</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1912-06-12</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1901</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1901</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>1</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Wilhelm Conrad Röntgen</td>\n",
       "      <td>1845-03-27</td>\n",
       "      <td>Lennep (Remscheid)</td>\n",
       "      <td>Prussia (Germany)</td>\n",
       "      <td>Male</td>\n",
       "      <td>Munich University</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1923-02-10</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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       "   year    category                                           prize  \\\n",
       "0  1901   Chemistry               The Nobel Prize in Chemistry 1901   \n",
       "1  1901  Literature              The Nobel Prize in Literature 1901   \n",
       "2  1901    Medicine  The Nobel Prize in Physiology or Medicine 1901   \n",
       "3  1901       Peace                      The Nobel Peace Prize 1901   \n",
       "4  1901       Peace                      The Nobel Peace Prize 1901   \n",
       "5  1901     Physics                 The Nobel Prize in Physics 1901   \n",
       "\n",
       "                                          motivation prize_share  laureate_id  \\\n",
       "0  \"in recognition of the extraordinary services ...         1/1          160   \n",
       "1  \"in special recognition of his poetic composit...         1/1          569   \n",
       "2  \"for his work on serum therapy, especially its...         1/1          293   \n",
       "3                                                NaN         1/2          462   \n",
       "4                                                NaN         1/2          463   \n",
       "5  \"in recognition of the extraordinary services ...         1/1            1   \n",
       "\n",
       "  laureate_type                     full_name  birth_date          birth_city  \\\n",
       "0    Individual  Jacobus Henricus van 't Hoff  1852-08-30           Rotterdam   \n",
       "1    Individual               Sully Prudhomme  1839-03-16               Paris   \n",
       "2    Individual        Emil Adolf von Behring  1854-03-15   Hansdorf (Lawice)   \n",
       "3    Individual             Jean Henry Dunant  1828-05-08              Geneva   \n",
       "4    Individual                Frédéric Passy  1822-05-20               Paris   \n",
       "5    Individual        Wilhelm Conrad Röntgen  1845-03-27  Lennep (Remscheid)   \n",
       "\n",
       "       birth_country   sex   organization_name organization_city  \\\n",
       "0        Netherlands  Male   Berlin University            Berlin   \n",
       "1             France  Male                 NaN               NaN   \n",
       "2   Prussia (Poland)  Male  Marburg University           Marburg   \n",
       "3        Switzerland  Male                 NaN               NaN   \n",
       "4             France  Male                 NaN               NaN   \n",
       "5  Prussia (Germany)  Male   Munich University            Munich   \n",
       "\n",
       "  organization_country  death_date death_city death_country  \n",
       "0              Germany  1911-03-01     Berlin       Germany  \n",
       "1                  NaN  1907-09-07   Châtenay        France  \n",
       "2              Germany  1917-03-31    Marburg       Germany  \n",
       "3                  NaN  1910-10-30     Heiden   Switzerland  \n",
       "4                  NaN  1912-06-12      Paris        France  \n",
       "5              Germany  1923-02-10     Munich       Germany  "
      ]
     },
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   "source": [
    "# Loading in required libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "# Reading in the Nobel Prize data\n",
    "nobel = pd.read_csv(\"datasets/nobel.csv\")\n",
    "\n",
    "# Taking a look at the first several winners\n",
    "nobel.head(6)"
   ]
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    "## 2. So, who gets the Nobel Prize?\n",
    "<p>Just looking at the first couple of prize winners, or Nobel laureates as they are also called, we already see a celebrity: Wilhelm Conrad Röntgen, the guy who discovered X-rays. And actually, we see that all of the winners in 1901 were guys that came from Europe. But that was back in 1901, looking at all winners in the dataset, from 1901 to 2016, which sex and which country is the most commonly represented? </p>\n",
    "<p>(For <em>country</em>, we will use the <code>birth_country</code> of the winner, as the <code>organization_country</code> is <code>NaN</code> for all shared Nobel Prizes.)</p>"
   ]
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    {
     "data": {
      "text/plain": [
       "113"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Male      836\n",
       "Female     49\n",
       "Name: sex, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "United States of America    259\n",
       "United Kingdom               85\n",
       "Germany                      61\n",
       "France                       51\n",
       "Sweden                       29\n",
       "Japan                        24\n",
       "Canada                       18\n",
       "Netherlands                  18\n",
       "Italy                        17\n",
       "Russia                       17\n",
       "Name: birth_country, dtype: int64"
      ]
     },
     "execution_count": 213,
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   "source": [
    "# Display the number of (possibly shared) Nobel Prizes handed\n",
    "# out between 1901 and 2016\n",
    "display(len(nobel.groupby('year')['prize_share'].count()))\n",
    "# Display the number of prizes won by male and female recipients.\n",
    "#display(nobel.groupby(['sex','birth_country'])['prize'].count())\n",
    "display(nobel['sex'].value_counts())\n",
    "# Display the number of prizes won by the top 10 nationalities.\n",
    "nobel['birth_country'].value_counts().head(10)"
   ]
  },
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   "source": [
    "## 3. USA dominance\n",
    "<p>Not so surprising perhaps: the most common Nobel laureate between 1901 and 2016 was a man born in the United States of America. But in 1901 all the winners were European. When did the USA start to dominate the Nobel Prize charts?</p>"
   ]
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>decade</th>\n",
       "      <th>usa_born_winner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1900</td>\n",
       "      <td>0.017544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1910</td>\n",
       "      <td>0.075000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1920</td>\n",
       "      <td>0.074074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1930</td>\n",
       "      <td>0.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1940</td>\n",
       "      <td>0.302326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1950</td>\n",
       "      <td>0.291667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1960</td>\n",
       "      <td>0.265823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1970</td>\n",
       "      <td>0.317308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1980</td>\n",
       "      <td>0.319588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1990</td>\n",
       "      <td>0.403846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2000</td>\n",
       "      <td>0.422764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2010</td>\n",
       "      <td>0.292683</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    decade  usa_born_winner\n",
       "0     1900         0.017544\n",
       "1     1910         0.075000\n",
       "2     1920         0.074074\n",
       "3     1930         0.250000\n",
       "4     1940         0.302326\n",
       "5     1950         0.291667\n",
       "6     1960         0.265823\n",
       "7     1970         0.317308\n",
       "8     1980         0.319588\n",
       "9     1990         0.403846\n",
       "10    2000         0.422764\n",
       "11    2010         0.292683"
      ]
     },
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    }
   ],
   "source": [
    "# Calculating the proportion of USA born winners per decade\n",
    "nobel['usa_born_winner'] = nobel['birth_country']==\"United States of America\"\n",
    "yr = pd.Series(nobel['year'])\n",
    "nobel['decade'] = (np.floor(yr/10) * 10).astype(int)\n",
    "prop_usa_winners = nobel.groupby('decade',as_index=False)['usa_born_winner'].mean()\n",
    "\n",
    "# Display the proportions of USA born winners per decade\n",
    "display(prop_usa_winners)"
   ]
  },
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   "source": [
    "## 4. USA dominance, visualized\n",
    "<p>A table is OK, but to <em>see</em> when the USA started to dominate the Nobel charts we need a plot!</p>"
   ]
  },
  {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>decade</th>\n",
       "      <th>usa_born_winner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1900</td>\n",
       "      <td>0.017544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1910</td>\n",
       "      <td>0.075000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1920</td>\n",
       "      <td>0.074074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1930</td>\n",
       "      <td>0.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1940</td>\n",
       "      <td>0.302326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1950</td>\n",
       "      <td>0.291667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1960</td>\n",
       "      <td>0.265823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1970</td>\n",
       "      <td>0.317308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1980</td>\n",
       "      <td>0.319588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1990</td>\n",
       "      <td>0.403846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2000</td>\n",
       "      <td>0.422764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2010</td>\n",
       "      <td>0.292683</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    decade  usa_born_winner\n",
       "0     1900         0.017544\n",
       "1     1910         0.075000\n",
       "2     1920         0.074074\n",
       "3     1930         0.250000\n",
       "4     1940         0.302326\n",
       "5     1950         0.291667\n",
       "6     1960         0.265823\n",
       "7     1970         0.317308\n",
       "8     1980         0.319588\n",
       "9     1990         0.403846\n",
       "10    2000         0.422764\n",
       "11    2010         0.292683"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop_usa_winners"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {
    "dc": {
     "key": "24"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setting the plotting theme\n",
    "sns.set()\n",
    "# and setting the size of all plots.\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['figure.figsize'] = [11, 7]\n",
    "\n",
    "# Plotting USA born winners \n",
    "ax = sns.lineplot(x='decade',y='usa_born_winner',data=prop_usa_winners)\n",
    "\n",
    "# Adding %-formatting to the y-axis\n",
    "from matplotlib.ticker import PercentFormatter\n",
    "ax.yaxis.set_major_formatter(PercentFormatter(1.0))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "31"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 5. What is the gender of a typical Nobel Prize winner?\n",
    "<p>So the USA became the dominating winner of the Nobel Prize first in the 1930s and had kept the leading position ever since. But one group that was in the lead from the start, and never seems to let go, are <em>men</em>. Maybe it shouldn't come as a shock that there is some imbalance between how many male and female prize winners there are, but how significant is this imbalance? And is it better or worse within specific prize categories like physics, medicine, literature, etc.?</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {
    "dc": {
     "key": "31"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1lTUWx6tfvw4HDx6p1HtI6WhM/JPGxf9oTPxTdRyX/F+3kvbMLBrd9yBhZ7ev8vtbLAbR0eF/f+H/0Myt+NSgQQOwWq08/fTzvg5FREREjuOwJ4FhENyyla9DKRUlt+JTS5e+7esQRERE5CScdjtBjRtjDQnxdSilUn2qg0VERESkSnhNE8euZIKr0f62xyi5FREREZETuNL24T3qrFb72x6j5FZERERETuCwJwFUq5PJjlFyKyIiIiIncNjtWOvWxRYT4+tQSk3JbTXVv38fdu2yn/Dagw/eS1raPgDWrFnNnj2pFX7fI0eOsGzZkgrvV0RERPyHIzmJkPgzq+XhSkpua5BZs56j0R/H461Zs5q9e/eUug/TNDnd1sd5eUd4/fVXyxSf2+0uUzsRERGpOu6cbNyZmYS0qn71tqCtwGqU/v37MGPGM2zb9hs7dmxj9uxZLFjwIqNGjaZTpwtZuvQVvvpqHR6Ph5iYM3jooQlER8ewaNF8du/eRX5+HgcOZDBv3su8+upiNm/eRGFhIZGRkYwfP5HY2Diefno6eXl5DB06kODgYObNW1x835Yt40+Io2XLePr378MVV1zFpk0baNkynvHjJ/LRRx/w3nvv4PF4CA8P58EHx9G0aXPffngiIiICFB25CxAcX/3qbUHJbZkU7vyWwh3rK6QvwzBOmCkNaHMpAa27lqvP3r378tFHH/DPfw6ma9dLAFi7dg1paWnMn/8KFouFFSuWM2fO7OJjcX/7bSuLFy8jMjISgEGDhnL33WMAWL16JS+++ByTJk3j/vsfYvjwwbzyyusljic/P58FC4pme3/++SfWrfuUuXMXEBgYyP/937dMmzaZF19cXK5nFhERkYrhsNsxbDaCm1buaaCVRcltLfHNN+vZvn0bw4YNAsDjcRMe/ueRdl26dC1ObAG+//5b3nvvHRyOAjweT7nu3atX7+Kvv/12PXZ7EiNHDgXA6/Vy5EhuufoXERGRiuNMTiK4RUsMW/VME6tn1D4W0LpruWdXj7HZLLjdZoX0dTper5dbbx3GtdcmnvT9kJDQ4q8zMtJ5/vmnWbDgVRo2bMSWLT8zadIjp+zbarVimn/OPrtcrhPeDw3982QTr7doZnn48DvK+igiIiJSSUyXC2dqKvV69PR1KGWmBWU1VFhYGPn5ecXfd+t2KStWLCc3t2iW1OVykZS086Rt8/PzsdkCiI6OxjRNVq5894R+nU7nCYvDGjVqwvbtvwKwceN/OXQo65Rxde16CR9//CG//34AAI/Hw/bt28r+oCIiIlJhnCm7weMhpJrW24Jmbqu1MWNGYbVai78vKMgv/rpv3+uZM+cZXn/9NUaNGk2vXr05fDiHe+4ZCRTtinDddTdy5pmt/9Jvq1bxXH75lQwaNIC6dSPp0qUrP//8EwAREXW56qqrufXWm6lTJ4J58xYzYsQdTJ36GMuXv80FFyTQoEHsKWM+77zzGTnyLsaNux+Px8TtLuTyy6+kbdt2FfWxiIiISBk5/1hMVl13SgAwvKfb96kWy8rKO+FP7RkZqcTGVnxhdVWVJdQklTUWx6tfvw4HDx6p1HtI6WhM/JPGxf9oTPxTdRmXtOdn48rIoMXUJ30dChaLQXR0+N9f+L/tKiEWEREREalmvF4vjmR7tZ61BSW3IiIiIgIUHsjAzMur1vW2oORWRERERCja3xYgOF4ztyIiIiJSzTmSk7CEhhEYG+frUMpFya2IiIiI4LTbCWnVCsNSvdPD6h29iIiIiJSbJy8PV/p+gqv5YjJQcisiIiJS6zl2JQNU+8VkUIXJ7V133UXfvn3p168fAwcOZNu2olOpunfvTq9evUhMTCQxMZGvv/76pO0dDgdjxoyhR48e9OrViy+++KL4vblz59K7d28GDBhAWlpa8esjRowgNTW1ch/MR/r370NiYk88Hk/xa2vWrKZbtwTeffetUvU1depjxW0WLpzH559/ctrrv/nmK+bOfbb0QYuIiIhfctqTwGIhuEVLX4dSblV2Qtn06dOpU6cOAJ999hkPP/wwK1asAOC5556jdeu/npR1vEWLFhEeHs6nn35KSkoKt9xyC5988gler5dVq1axZs0aVq9ezdKlS3nooYdYsWIFHTt2pFmzyt3s35eio+vz3//+H126dAOKktvWrduWq8/hw+/422u6dbuMbt0uK9d9RERExH84ku0ENW2GJSjI16GUW5Ult8cSW4C8vDwMwyhV+48++ognnyw6LaN58+a0b9+e9evXc9lll2GaJm63m4KCAgICAsjOzmb58uW8/PLLFfoMx/yQ/iP/l76hQvoyDDj+jLgucZ24MO6CErW95pprWbPmA7p06UZa2j6cTiet/qiVKSws5KWXXmDz5h9xuQqJj4/ngQfGExoaysGDvzNlyqNkZWUSGxuH5bjC8alTH6Nt23bccMNNFBYWMn/+XH744TssFisNGzZi2rRZrFmzmu+++5opU2awadNGnnvuac4662x+/XULYDBp0hM0b94CgI8++oD33nsHj8dDeHg4Dz44jqZNm1fIZyciIiLl53W7ce7eRd1LasbEVZUltwATJkzg22+/xev1snDhwuLXH3zwQbxeLxdccAH3338/ERERf2m7f/9+GjVqVPx9XFwcGRkZhIaGMnToUAYMGEBMTAzTp09n5syZjBkzhsDAwDLH+r/Hvf3+uwWbrSgJtFgNSpmbn9bxfVmsRvF9/k5CQidWrFhOQUEen3zyIddccy3bt2/DYjF4443XqFOnDi+/vBSAOXOeZdmyV7jzzrt59tlZdOx4PsOH305a2j4GD76ZLl0uxmazYBgGFktRDK+88grp6Wm8+uobBAQEkJOTjc1mwWIxMIyia6xWC7t37+I//3mMhx/+Dy+/vJBXX13M5MlT2bx5E1988Rnz5y8iMDCQ7777lmnTHmfBgvL90mGxWKhfv87fX1hOVXEPKR2NiX/SuPgfjYl/8tdxOZJkx+tycUbHDn4bY2lUaXI7depUAFauXMmMGTNYsGABy5YtIy4uDpfLxdSpU5k8eTKzZs0qVb+33HILt9xyCwAbNmzAMAzi4+MZP348eXl5XH311VxzzTWl6jMrKw/T/HNKtWh22ASg0xnn0+mM80vV36nYbJbifo/53+9PxTS9dO/eg7VrP+aTT9Yyb95itm37DdP08vXXX5Kfn8+6dZ8BUFjoIj7+TNxukx9/3Mjo0Q/idps0aNCQCy7ohGl6cbtNvF5v8dfffPM1d989BsOw4nabhIfXxe02MU0vXm/RNR6PSdOmTWnVqjVut0m7du35+uv1uN0m69d/RVLSToYNGwIUHet35EhuiZ/v1M9tVvr53NXlDPDaRGPinzQu/kdj4p/8eVyyN/4CQOEZjf0qRovF+MtkY0lUaXJ7TL9+/Zg4cSLZ2dnExRVtFBwYGMjAgQO58847T9qmYcOGpKWlERUVBUB6ejoXXnjhCde4XC5mz57NnDlzWLJkCZ06daJv374kJibSvXt3goODK/fBfKBXr97cfvtQzj23I3XrRha/7vXCAw+M44ILOlV6DIGBf9bnWCyW4kVuXi/07t23RHW8IiIi4hsOexK2qCgC/sixqrsq2S0hPz+f9PT04u/XrVtH3bp1CQoK4siRot8QvF4va9asoV27difto1evXrz1VtGK/pSUFLZs2cIll1xywjULFiygf//+1KtXD4fDgWEU/fnc7XZTWFhYSU/nW40aNWbEiLsYOnT4Ca9363Ypb721jKNHnQAUFOSTkrIbgAsuSODDD1cBsH9/Ghs3nrx++OKLu/H2228Uf3Y5OTmliq1r10v4+OMP+f33AwB4PB62b99Wqj5ERESkcjmT7TViC7BjqmTm1uFwMHr0aBwOBxaLhbp16zJv3jyysrK455578Hg8mKZJq1atePTRR4vbJSYm8tJLL9GgQQNuu+02xo0bR48ePbBYLEyePJnw8D+nqlNTU9m8eTOjRo0CikoV7r//fhYsWEDfvn1PWNBW0yQmXv+X1wYNGsqiRfMZPnzIHwvGDIYNG0Hz5i0YPfpBpkx5lM8+W0tcXEM6djz5ArZBg4Yyf/4c/vWvgdhsATRu3JgpU2aUOK7zzjufkSPvYty4+/F4TNzuQi6//Eratj35LzAiIiJStQqzsnBnH6oRhzccY3i9x6/Vl2P+t+Y2IyOV2NiK31bsZDW3cnqVNRbH8+faqNpKY+KfNC7+R2Pin/x1XHL/+z0ZL82j6SOPEdy8ua/DOUFZa251QpmIiIhILeW02zECAwlq0sTXoVQYJbciIiIitZTDnkRwy1YYVquvQ6kwSm5FREREaiHT6eTovr2E1KB6W1ByKyIiIlIrOXfvAtOsUTslgJJbERERkVrJkWwHILhlKx9HUrGU3IqIiIjUQg67ncCGjbCGhfk6lArlkxPKpPz69+9DYGAgAQGBmKaHW2+9jSuv7OnrsERERKQa8Jomzl126iRU/kmmVU3JbTU2Zcp0WraMZ+fO7dxxx20kJFxIZGTk3zcUERGRWs2Vno5ZUFCjDm84RsltDdC6dVtCQ0NJT0/jgw9W8tVX6/B4PMTEnMFDD00gOjqGjRv/y4IFL+JyHcXj8TBkyLDimd6DB39n9uyZ7Nu3F4Arr+zJ4MH/Ij8/j+eff4bk5CRcLhcdOyZwzz33Ya1B24WIiIjURg57EkCNW0wGSm7LJPe7bzn8zfoK6cswDI4/JK5ut0uJuLhrqfrYtGkjLpeLPXtSSUtLY/78V7BYLKxYsZw5c2bz6KNTaN26LS+8sBCr1cqhQ1ncdttgOnfuQkREBJMn/4cuXboydepMAHJycgB4/vlnOO+88xk37j+YpsmkSY/w4Yer6Nv3ugp5dhEREfENZ3IS1jp1CDijga9DqXBKbquxRx55iMDAIMLCwpg6dTqrVq1k+/ZtDBs2CACPx014eNGxdTk52UybNpl9+/ZgtdrIzT3Mnj2ptGzZiq1bf+GZZ+YW93ustOGbb9azbduvvPnmMgCcTidn1MB/BCIiIrWNI9lOcKt4DMPwdSgVTsltGURc3LXUs6unYrNZcLvNMrU9VnN7zPvvr+DWW4dx7bWJf7n2qaeepGvXS3niiZkYhsHNN1+Py3X0b+7g5YknZtGoUeMyxSciIiL+x52bS+GBA9TtdpmvQ6kU2gqsBunW7VJWrFhObm4uAC6Xi6SknQAcOXKEuLg4DMNgw4bvSUsrqq8NDQ2lfftzePvt14v7OVaW0LXrpSxdugSPx1P8+v79aVX5SCIiIlLBnH/sbxsSX/MWk4FmbmuUXr16c/hwDvfcMxIA0zS57robOfPM1tx559089dR0Fi16iXbtzqJVqz8LyCdOfJynn57O4MEDsFis9OjRk0GDhjJ69AO88MJzDB36TwzDICAgkHvvfYCGDRv56hFFRESknBz2JLBaCWre3NehVArDe/xqJimWlZWHaf750WRkpBIb26zC71OesoTaqrLG4nj169fh4MEjlXoPKR2NiX/SuPgfjYl/8qdx2fPkVDBNmj78H1+HcloWi0F0dHjp21VCLCIiIiLih8zCQo6m7K6RW4Ado+RWREREpJY4uicVr9tdIw9vOEbJrYiIiEgt8efhDUpuRURERKSac9rtBNSvj61upK9DqTRKbkVERERqAa/XiyM5qUaXJICSWxEREZFaoTDzIJ7c3Bq9mAyU3IqIiIjUCs5j9batanZyq0Mcqqn+/fsQGBhIQEAgpunh1ltvw+Vy8d13XzNlyoxy95+ZeZBJkx7h+efnV0C0IiIi4msOux1LSAiBjWr2YUxKbquxKVOm07JlPDt3bueOO25j+PA7KqzvmJj6SmxFRERqEEeyneCWrTAsNfsP90puy2DHlgy2/5JRIX0ZhsHxh8S1PSeWNh1iS9VH69ZtCQ0NBbzk5+czceJ4du1Kpk6dcKZMmUF0dAyDBw/g4YcfpV27swF4882lpKamMnbseJ5+egabNm0gICCQ0NAQXnxxMenp+xk+fDAffvg5AFu3/sLcuc9SUFAAwKhRo0lI6HzStiIiIuJfPAUFuNL2Uef8C3wdSqVTclsDbNq0EZfLhc1mY9u231iy5A0aNIhl+vQpLF/+FrffPoobbhjAihVl/fcmAAAgAElEQVTLadfubLxeLytXvsvjj0/Hbt/JTz9tZOnSd7BYLOTm5v6l/9zcwzz88FimTp1Bhw7n4vF4yM/PL1FbERER8T3n7l3g9RJcwxeTgZLbMmnTofSzq6dis1lwu80ytX3kkYcIDAwiLCyMqVOnc/DgQc4551waNCiK7eyz27Nhww8A9OzZm5dfXkhu7mF+++1X6tWL4swzW5OXl4fb7ebJJx/n/PMTuPjiS/5yn61bt9C8eQs6dDgXAKvVSkREBBaL5W/bioiIiO857ElgGAS3aOnrUCpdzS66qOGmTJnOK6+8zty5C+jU6SIAAgMDi9+3WKx4PB4AQkJC6NGjFx9+uJr33nuH66+/EYDw8HBee+1trrjiKpKT7QwePICsrMwS3b88bUVERKTqOO12gho3xhoS4utQKp2S21rk+utv5J133mDHjm384x9XAJCdnY3T6eTCC7twxx13Ex4ezv79aSe0a9++Aykpu9m69RcAPB4Pubm5JWorIiIivuU1TRy7kmtFSQKoLKFWadiwEU2bNuOss9oTEBAAwO+/H2D69Cl4PB48Hg8XXXQxZ5/dgQMH/lwwFxFRl6lTZ/D888/gdDowDAujRo0mIqLuSduKiIiI/zi6by/eo05CavjJZMcY3uOX6kuxrKw8TPPPjyYjI5XY2GYVfp/y1NyWVn5+HgMH9mfhwlepX/+MKrlnZaissThe/fp1OHjwSKXeQ0pHY+KfNC7+R2Pin3w5LjlffM7vy16jxZMzCYip75MYysJiMYiODi99u0qIRfzQypXLGTRoADffPKhaJ7YiIiJSOg57Eta6kdiiY3wdSpVQWUIt0a9ff/r16+/rMERERKSKOZLthMTHYxiGr0OpEpq5FREREamh3DnZuDMzCWlVOxaTQRUmt3fddRd9+/alX79+DBw4kG3btgGwe/dubrrpJnr27MlNN91ESkrKSdt7PB4mTZrElVdeSY8ePXjnnXeK31u+fDnXXHMN/fr149dffy1+ffz48WzcuLFSn0tERETEXznsdgCC42vHYjKowrKE6dOnU6dOHQA+++wzHn74YVasWMGjjz7KwIEDSUxM5P3332fixIm8+uqrf2m/evVq9uzZwyeffEJOTg79+vWjS5cuNG7cmBdeeIEPPviAX3/9lfnz5/Pcc8/xww8/YLVaSUhIqKpHFBEREfErjmQ7RkAAwU0rdyG2P6my5PZYYguQl5eHYRhkZWXx22+/8fLLLwNw7bXX8vjjj3Po0CGioqJOaL9mzRpuvPFGLBYLUVFRXHnllXz88ccMHz4cq9XK0aNHKSgoICAgAJfLxXPPPcfcuXOr6vFERESkAnldDszc330dRoUxI1r55L5OexLBzVtg2GrPMqsqfdIJEybw7bff4vV6WbhwIenp6TRo0ACr1QoUHet6xhlnkJ6e/pfkNj09nYYNGxZ/HxcXR0ZG0V6sY8eOZdiwYYSFhTFp0iReeuklbrzxRiIjI6vu4apY//59CAwMJDAwqPi1adNmERfX8DStfGPhwnm0aNGSK664ytehiIhINeFYNw/Pnp99HUaFSTEsWGKaYY1rgy22Dda41hhBYZV6T9PlwrknlXo9elbqffxNlSa3U6dOBWDlypXMmDGD0aNHV0i/V111FVddVZQ4paSk8MsvvzBixAgmTZpEVlYWCQkJDBkypFR9/u++ar//bsFmq5wS5bL2O23aTFpVgw2Z77jjrgrtz2KxUL9+nb+/sJyq4h5SOhoT/6Rx8T/VfUy8Xi+pvycTGn8Bdc670tfhlJvX68GVkYJzz684f/2Mwl8+BgwCz2hKcNOzCG56NsFN2mELr9hJucO//gYeD7EXnENUNf+ZKA2fzFH369ePiRMnEhsby4EDB/B4PFitVjweD7///jtxcXF/aRMXF8f+/fs555xzgL/O5B7zxBNPMH78eFatWkVUVBSPPvoogwcP5vLLL6dJkyYljvF/D3EwTbNSDlsozyEOHs9fY9q69Rfmzn2WgoICAEaNGk3nzhexbduvzJ49C6fTQXBwCGPGPEi7dmeTnr6f4cMH07fv9Xz//bc4nU7GjZvIueeeB8BHH33AG2+8hmEYNGzYmH//+2Hq1YtizZrVfPrpx4SH1yE5OYn69c9gzJixzJ07m3379tGu3VlMnPg4hmEwdepjtG3bjhtuuInCwkLmz5/LDz98h8VipWHDRkybNostW37mmWdmYJpe3G43t946jB49ep30uU3TrPSNsLUJuv/RmPgnjYv/qQljYh45iOnMwxPbnoKodr4Op0LUb9uFgwePYHO78BzcjSd9O570neRu/pzcjR8BYKkbizWuLda41ljj2mIJj/qbXk/v0MaimW9XTKNq+TNR1kMcqiS5zc/PJzc3tzhpXbduHXXr1iU6Opp27drxwQcfkJiYyAcffEC7du3+UpIA0KtXL9555x2uuuoqcnJy+Oyzz1i2bNkJ16xcuZJzzjmHFi1a8PXXXxfv52YYRnGyVxF2//Zfdm/9vkL6Mgw4/oy4Fu0vosVZnUvU9pFHHiouS7BarTzzzBwefngsU6fOoEOHc/F4POTn51NYWMiECf/m4YcfJSGhMxs2/MCECf/mrbdWAnD48GHatz+H228fxSeffMS8ec/x4ouL2bXLzrx5c1i0aCkxMTEsWPAizzwzk8mTpwGwbdtvvPrqm5xxRgP+/e8xTJr0CM8/P5+QkBBuu20QGzf+l06dLjwh5tdee5n9+9NYvHgZAQEB5OTkALBs2RL++c/B9OjRC6/XS15eXnk/WhERqaY8makAWGNq3iIowxaILa4Ntrg2AHhNN+bBFNzpO/Fk7KAw+QcKt39ZdG2d+ljjWmOLa4s1rg1Gnfql2qvWkWwnoEEs1jq1Z9YWqii5dTgcjB49GofDgcVioW7dusybNw/DMHjssccYN24cL7zwAhEREUyfPr243YgRI7j33nvp0KEDiYmJ/Pzzz8XlB6NGjTphJjYnJ4d33nmneHFa3759ufvuu/n44485//zzadOmTVU8apWaMmU6LVv+WZbw3Xff0Lx5Czp0OBcoSngjIiJITrYTEBBAQkJR0typ04UEBASwZ08qoaGhhISE0rXrJQCcfXYH5syZDcCmTRvp0qUrMTFFJ5okJl7P0KEDi+93zjnncsYZDQA488w2xMbGFS8cjI8/k7S0vX9Jbr/77hvuvnsMAQEBAMV10eefn8CSJYtJS9tHp04XcfbZ7Sv2wxIRkWrDzEwFw4IlqrGvQ6l0hsWGtUE81gbxwDV4TRPz0F486TuK/kv9GffOb4uuDauH9Y96XWtcGyyRDU+Z7Hq9XhzJdsLP7ViFT+MfqiS5jYmJ4e233z7pe61atTphz9rjLViwoPhrq9XKpEmTTnmPyMjIE2ZyIyMjWbp0aRkjPr0WZ3Uu8ezq3ylPWUJFCQwMKP7aYrHg8bhL2C7whHbHL26zWIrKTEpqwICBdO16KRs2/MDs2TPo1OkiRo6s2FpdERGpHjyZqVjqNcKwBf79xTWMYbFgjWlWNGvd4Sq8XhMzOx1Pxh/Jbvp23MlFfz02gutgjS1KdK1xbbBENcGwFK3jKTyQgZmXR0g1WJtT0WrPvhC1QPv2HUhJ2c3Wrb/Qvv05xWUJTZs2o7CwkE2bNnL++Qn8+OMG3G43TZs2IzPz4Cn7O//8BF577RWysjKJjo5h9eqVdOpUvqT+4ou78fbbb3D22R2KyxIiIyPZsyeVpk2b0ahRY0JDQ/noow/KdR8REamevF4vZmYK1ibn+DoUv2AYFqxRjbBGNYKzuuP1evHm/o4nfQfu9B14MnbgTvmx6OLAEKyxrbHFtSF/vwOA4PjaczLZMUpuq7Hja24Bxo17hKlTZ/D888/gdDowDAujRo2mU6cLmTp1xgkLyqZMmV5cGnAqLVvGc8cdd3PffaP+WFDWiLFjHy5XzIMGDWX+/Dn8618DsdkCaNy4MVOmzGD58jfZtOlHAgJsBAQEct99Y8t1HxERqZ68BTl4Hbk1st62IhiGgVG3AZa6DQhoeykAZl7Wn2UM6Ts4uudn8naDYQP3pqWQUVSza63folbMhhte7/HLmeSY/90tISMjldjYiv+H5g9lCdVNZY3F8WrCauOaRmPinzQu/qe6j4k7dTOOtbMJ6TsBW2zNmXWsynExC3JInTQJa4iF6PYhmIf2Fb1htWE9o1VRohvbBmuDeIyAoNN35kN+vVuCiIiISEkU7ZRgYI0u+fadciKvaaMwK5uI624grHcfvM48PBlJuNO348nYieun1eBdBYYVS/3m2P6o2bXGnokRGOrr8MtNya2IiIj4DTMzBUtkHEZAsK9DqbYcu+wAxYvJjOBwbM07YmtetHOC1+XAcyAJT/pOPOk7cG1ZCz+vAcPAEtW0eIGaNa41luDqt42YklsRERHxG57MVKxxNW/7zqrktNvBYiG4RcuTvm8EhmBrcg62Pxbted1H8fy+q7hmt3DbFxRu/QQAS72GRQdL/LErgyWsXpU9R1kpuS0Fr9dbqs2TpeKpRFxEpOYyHbl48w9pMVk5OexJBDVthiWoZPW0hi0IW8N22BoWnQbn9bgxD+4u3o2hMOk7Cn9bB4Alugmh147DCAqrtPjLS8ltCdlsgeTn5xIWFqEE10e8Xi/5+bnYasFKTxGR2sj842Qyi5LbMvO63ThTdlP3ksvK3IdhtWGNPRNr7JnAtXhND2bWHjzpOzDzDoH19Lst+ZqS2xKqV68+2dkHycvLqdB+LRYLpqndEkrKZgukXr36vg5DREQqQfGxu9FNfRxJ9XV03168LhchFbi/rWGxYq3fAmv9FhXWZ2VScltCVquNmJi4Cu+3um/ZIiIiUlHMzBSMiDP8+k/e/s5hTwIguBaeTHaMxdcBiIiIiMAfi8lUklAuDrsdW1Q0AVFRvg7FZ5TcioiIiM95j+bjPXJQ9bbl4PV6cSYnERJfe2dtQcmtiIiI+AFP1h4ArDHNfRtINeY+dAh3dnatLkkAJbciIiLiB8zMFAAsWkxWZo7konrbilxMVh0puRURERGf82SmYoRFYQmJ8HUo1ZbTnoQRFERQ49p9dLGSWxEREfE5U4vJys1htxPcoiWG1errUHxKya2IiIj4lLfQiZmTgUX1tmVmOp0c3be31i8mAyW3IiIi4mOerL2AVzO35eDcvQtMk5BWtbveFpTcioiIiI8VLyZTcltmjmQ7AMGtWvk4Et9TcisiIiI+5clMxQiJwAiN9HUo1ZbDnkRgw0ZYQ3W6m5JbERER8SkzMxVLTHMMw/B1KNWS1zRxJttr/RZgxyi5FREREZ/xul2Y2Wmqty0HV/p+TIej1h/ecIySWxEREfEZ89A+8JraKaEcHPaielvtlFBEya2IiIj4jCczFUAzt+XgTE7CWqcOAWc08HUofkHJrYiIiPiMmZkKQWEY4dG+DqXactjtBLeKV83yH5TcioiIiM94MlOwajFZmblzcyn8/YAWkx1Hya2IiIj4hNfjxjy0TyUJ5eBMTgLQ4Q3HUXIrIiIiPmFmp4Hp1uEN5eCw2zFsNoKa6zM8RsmtiIiI+ISpxWTl5ki2E9SsOZaAQF+H4jeU3IqIiIhPeDJTISAYI+IMX4dSLZmFhRxN2U2I9rc9gZJbERER8QlPVirWmGYYhtKRsji6JxWv202wFpOdQD9NIiIiUuW8pomZuQdLtEoSysphP7aYrJWPI/EvSm5FRESkypmH08HjUr1tOTjtdgLq18dWN9LXofgVJbciIiJS5Y4tJtOxu2Xj9XpxJCepJOEkqiS5zc7OZsSIEfTs2ZM+ffpw9913c+jQIQDatGlDnz59SExMJDExkR07dpy0j8zMTIYNG0bPnj3p27cvP//8c/F7EydOpE+fPgwZMoQjR44A4HK5uOWWW8jJyan8BxQREZFS8WSmgjUQS2Ssr0OplgoPHsSTm6vFZCdRJcmtYRgMHz6ctWvXsnr1apo0acKsWbOK33/zzTd5//33ef/992nTps1J+3jqqadISEhg7dq1TJw4kbFjx+L1etm5cycpKSmsXr2azp078/777wPw0ksvMWDAACIjNVUvIiLib8zMFCzRTTAsVl+HUi3p8IZTq5LkNjIykgsvvLD4+/POO4/9+/eXqo+PP/6Ym2++GYCEhAQCAwPZsmULNpsNl8uFaZo4HA4CAgLYvXs3W7ZsITExsUKfQ0RERMrP6zXxZO5RvW05OOxJWEJCCGzUyNeh+J0qr7k1TZM33niD7t27F782ePBgEhMTeeqpp3C5XH9pk52djdfrJSoqqvi1uLg4MjIyaNmyJRdeeCHXXXcde/fupU+fPkybNo3x48dXyfOIiIhI6XhzD0KhQyeTlYPDbie4ZSsMi5ZP/S9bVd/w8ccfJzQ0lEGDBgHw5ZdfEhcXR15eHmPHjmXu3Lncd999perzvvvuK26zcuVKzjnnHGw2Gw888AAul4uBAwfSpUuXUvUZHR1equvLo379OlV2Lyk5jYv/0Zj4J42L//H3Mck7+Av5QMyZZxHk57FWpIoaF3d+Pjv3p9Hg0q5+P9a+UKLk1uPxMGfOHO68804CA8t+vNv06dNJTU1l3rx5WP74TSMuLg6A8PBwbrzxRl5++eW/tKtXrx4Ahw4dKp69TU9PJzb2xCL0nJwc3nnnHV5++WUmTJjAgAEDOPvss7npppv48MMPSxVrVlYepukt9TOWVv36dTh48Eil30dKR+PifzQm/knj4n+qw5gc3bUdLFYOUw/Dz2OtKBU5Lvlbt4DXixnX1O/HujwsFqNMk40lmsu2Wq28/vrr2Gxln+h9+umn2bp1K3Pnzi1OkA8fPozT6QTA7Xazdu1a2rVrd9L2vXr14s033wRg48aNOJ1O2rdvf8I1M2fOZPTo0QQGBuJwODAMA4vFgsPhKHPcIiIiUrE8malYohpjWKv8D8g1giPZDoZBSMuWvg7FL5X4p6pfv3688cYb3HLLLaW+SVJSEvPnz6d58+bFi8IaN27M8OHDmThxIoZh4Ha76dixI6NHjwbgwIEDjBw5snj3gwceeICxY8eycuVKgoKCmDFjRvHsLxQlvKZp0rlzZwBGjhzJI488QmFhIXfeeWepYxYREZGK5/V6MTNTsbW4wNehVFtOu52gxk2wBIf4OhS/ZHi93hL97f2f//wnv/zyCw0aNCA2NhbDMIrfW7ZsWaUF6CsqS6jdNC7+R2PinzQu/sffx8TMyyL/9QcI6jaEwLO6/32DGqKixsXr8WC/dxQRF19Mg1uGVEBk/qusZQklnrkdMGAAAwYMKPUNRERERI7xZKYAYNXJZGVyNG0f3qNOQnQy2SmVOLm97rrrKjMOERERqQXMgylgWLBENfZ1KNWS037s8AadTHYqJd4czev18vbbbzNkyBD69OkDwIYNG1izZk2lBSciIiI1iyczFUu9hhi2su++VJs5ku1Y60Zii47xdSh+q8TJ7bPPPsvy5cu56aabSE9PByA2NpaFCxdWWnAiIiJSs5iZqTq8oRwcyXZC4uNPWPskJypxcrtixQrmzZtH7969iz/Qxo0bs3fv3koLTkRERGoOsyAHr+Ow6m3LyJ2TjTszk5BWqrc9nRIntx6Ph7CwMIDi5DY/P5/Q0NDKiUxERERqFPOPxWSauS0bh90OQLAWk51WiZPbyy67jGnTpuFyuYCiGtxnn32Wyy+/vNKCExERkZrDk5kKGFijmvg6lGrJYU/CCAgguGlTX4fi10qc3I4fP56DBw9ywQUXcOTIETp27Mj+/ft58MEHKzM+ERERqSHMzFQsdRtgBOrwgbJwJtsJbt4CoxwnxtYGJf50wsPDmTt3LllZWaSlpREXF0f9+vUrMzYRERGpQTyZqVgb6E/qZWG6XDj3pFLvql6+DsXvlXjm9nj16tXD6XSyd+9eLSgTERGRv2U6j+DNy8KqetsycabsBo9H+9uWQIlnbtevX8+ECRM4ePDgCa8bhsG2bdsqPDAREZGq4ti1i+DmzTEsZZrzkRIwM1MBLSYrKx3eUHIlTm4nT57MXXfdxXXXXUdwcHBlxiQiIlJlHLuS2fvE45wx+FYiL9Mi6cri+SO51cxt2TjsSQTExmKtU8fXofi9Ev+Kmpuby80336zEVkREapSC334FIOfzz/B6vT6OpuYyM1Mx6tTHCArzdSjVjtfrLTq8QfvblkiJk9sbbriBd999tzJjERERqXIF27eBYeDan4Zj5w5fh1NjeTJTNWtbRoUHMjDz8wmJV0lCSZS4LOHnn3/mtddeY8GCBcTEnHie8bJlyyo8MBERkcpmFhbiTLZT99LLOLJxAznrPiO0TVtfh1XjeF0FeHMPYGnTzdehVEuOP+ptgzVzWyIlTm5vvPFGbrzxxsqMRUREpEo5dyXjLSwkrMO5WIKDyf70EwqzswmoV8/XodUonsw9gOpty8pht2MJCyMwNtbXoVQLJU5ur7vuusqMQ0REpModK0kIad2awEaNyP5kLYfXf0lMov6fV5H+3CmhuW8Dqaac9iRCWsVrN48SKtURF9988w3btm2joKDghNdHjx5doUGJiIhUBceO7QQ1bYY1NAxraBhhHc7h8FdfEN27j06BqkCezBSMsCgsIRG+DqXa8eTl4cpIp06Xi30dSrVR4l8BJk+ezNixY/n111/JyMg44T8REZHqxnS5cO5KJrTtnzW2kZdfgSc3lyObNvowsprHzNJisrJy7LIDEBKvetuSKvGvpR988AHvv/8+cXFxlRmPiIhIlXAm2/G63YS0aVf8WujZ7QmofwaHv1hHROeLfBhdzeEtPIqZk46tZWdfh1ItOe12sFoJbt7C16FUGyWeua1Xrx51tHGwiIjUEAXbt4HFQmjr1sWvGRYLkZd3x5G0k6N79/gwuprDzNoDXq9mbsvIYU8iqElTLEFBvg6l2ihxcvuvf/2LBx98kJ9++om9e/ee8J+IiEh1U7B9G8HNm2MJDjnh9Yiul2AEBpLzxec+iqxm8WgxWZl53W6cKbu1v20plbgs4bHHHgPgyy+/POF1wzDYtm1bRcYkIiJSqUynE2fKbupd1esv71nDwqhz4UXkfv9/xNwwAGuYTtQqD09mKkZIBEZopK9DqXaO7t2D1+XSyWSlVOLkdvv27ZUZh4iISJVx2JPA4yG0bbuTvh95+RXkfr2e3G+/od5VPas4uprFzErBEtMMwzB8HUq140guWkwW3Eozt6WhDdNERKTWKdi+DazWU65AD27ajOD4M8n5ch1e06zi6GoOr9uFeWg/1mjV25aFw56ELSqagKgoX4dSrZx25va2225j0aJFAAwcOPCUv3Xp+F0REalOCrZvI7hFy9Mu0om8/AoyFsyj4LethLU/pwqjqznM7DTwerBoMVmpeb1eHPYkQlvrOOjSOm1y269fv+KvdfSuiIjUBJ6CAo6mphDV+9rTXlfnggQOvhVBzrrPldyW0bHFZFYtJis196FDeHJyCNZislI7bXLbp0+f4q91/K6IiNQEjqSd4PUS2ubk9bbHGDYbdS/9B4c+XE3hwYME1K9fRRHWHGZmCgSGYtSJ8XUo1Y7DngRAiOptS63ENbf9+vXjiSee4LPPPiMnJ6cyYxIREak0ju3bMGy2Ei3SqXvZ5WAY5Hy5rgoiq3k8mUUnk2kxWek5k5MwgoIIatzE16FUOyVObh966CHCw8NZsmQJl112GX369OHxxx/n448/rsz4REREKlTBju0Et4rHEhj4t9cG1KtHeMfzOfzNekyXqwqiqzm8phvz0F7V25aRw24nuEVLDKvV16FUOyVObrt06cK9997La6+9xpdffkn37t1ZuXIl9913X2XGJyIiUmE8eXkc3bvnlFuAnUzk5Vdg5udzZMMPlRhZzWNmp4PHrXrbMjCdTo7u3aPDG8qoxPvcfvXVV2zcuJENGzaQnp7Oeeedx/3330/nzjorWkREqgdH0g7weglpU/IV6CFt2hLYsBE56z4n4uJu+hN7CZmZKQA6drcMnLt3Ff2cnmKrOjm9Eie3t99+O02bNmXkyJH069cPm63ETUVERPxCwfbtGIGBBLdoWeI2hmEQeXl3fl/2Gs7duwhp2aoSI6w5PJmpEBCMUbeBr0Opdhz2JDAMgvWzViYlLktYtmwZN9xwAx9//DH/+Mc/GDZsGC+++CIbN26szPhEREQqTMH2bYS0OhNLQECp2kV0uRhLcDA5X3xeSZHVPGZmKtbophiGzosqLUeyncCGjbCG6ujnsijxT9wFF1zA7bffzsKFC3n//ffp0KEDCxcuZPDgwX/bNjs7mxEjRtCzZ0/69OnD3XffzaFDhwDYvHkzffv2pWfPngwbNoysrKyT9uFwOBgzZgw9evSgV69efPHFF8XvzZ07l969ezNgwADS0tKKXx8xYgSpqaklfUQREanB3EdycaXtI6Rt6TfFtwSHEHFxV/I2/Bd3bm4lRFezeE0TT9YeLSYrA69p4ky2awuwcihxcvvpp58yZcoUEhMT6d69Oxs2bGDQoEEsWLDgb9sahsHw4cNZu3Ytq1evpkmTJsyaNQvTNBk7diwTJ05k7dq1JCQkMGvWrJP2sWjRIsLDw/n000+ZN28ejzzyCPn5+eTl5bFq1SpWrVrFwIEDWbp0KQArVqygY8eONGumf1giIgKOHTsASrWY7Hh1/3EFXreb3G/WV2RYNZKZmwHuo1pMVgau9P2YDkeJtqqTkytxcvvqq68SERHBuHHj+OGHH3j99de577776Nat29+2jYyM5MILLyz+/rzzzmP//v1s3bqVoKAgEhISALj55ptPubXYRx99xE033QRA8+bNad++PevXr8disWCaJm63m4KCAgICAsjOzmb58uUMHz68pI8nIiI1XMGObRhBQQQ3a16m9kENGxLa7ixyvlyH1+Op2OBqGPOPk8k0c1t6DrsdQIvJyqHEye1rr73GvffeS5cuXZCxmecAACAASURBVAgODj7pNSNHjvzbfkzT5I033qB79+6kp6fTsGHD4veioqIwTfOkh0Ts37+fRo0aFX8fFxdHRkYGoaGhDB06lAEDBvD5558zZMgQZs6cyZgxYwgswR6GIv/LtfVTjmz5ytdhiEgFc2zfTsiZrTHKsSC67uVX4D50iPxfNldgZDWPJzMVrP/P3n1HSVGmix//VlWnyT05B5ghB8lBJAxDjqKYwOx69+7u/W1wXV3YNYCrrmn1uqt3zWlRUUygGADJOccZmAEmzzA5dq6q3x8EQdKEDhPqcw7ncLq76n16errn7bee93n0iOZYX4fS7thyspGCgtBHRfk6lHbLrSUPmrK57IknnsDf35/bb7+dVatWuWXc+fPnM3/+fAB27tyJIAikpaWxYMECGhoamDp1KtOmTWvWOcPDA90SW1NERgZ5bSzNlSkuB3k7l1GuyCTc9zyGSK0zTFuivVfapvbwujiqq3GUFBM7KaNV8UZMGE3lJx/RuGk9XSaNc1+Abubr16S4tgAxOoWoaLNP42hrmvK65OceJ6R3L6Kigr0QUcfk1XpezzzzDHl5efz73/9GFEViY2MpLi4+d39VVRWiKGI2X/xmiIuLo6ioiLCwMABKSkouSHUAcDgcvPTSS/zrX//ivffeY+jQocyaNetcnvDlVpwvpbKyAUVRW/hMmy4yMojy8nqPj6NpGlfBAVSnHQSR4i9fxn/WXxFEbadvW6C9V9qm9vK61G0/vfiiJnRpdbxBo8dS+cVnFB04iiE27uoHeJmvXxNVVbAVn0DfbWS7+N3wlqa8Lq7aWmwlpQSOGqP97ABRFFq02Oi1v9r/+Mc/OHToEK+88sq5dIG+fftis9nOrfh+/PHHTJky5ZLHT5kyhaVLlwKQm5vLwYMHGT169AWPeeONN5g7dy6hoaFYrVYEQUAQBFwuF06n04PPTtNRuPL2g85A5PRfoZSdwHnwe1+HpNFo3MB6NBPRzw9jUutzQENGj0XQ6ahZ+6MbIut41PoKcFq1fNsWsJ04k2+bquXbtoZXJrfZ2dm89tprlJWVceuttzJ79mx+85vfIIoizz77LIsWLWLSpEns3LmTP/7xj+eOmz17NqdOnQLgvvvuo66ujokTJ/LLX/6SxYsXExj402w+Ly+Pffv2MWfOHOB0qsKSJUuYOXMms2bNIiio7V820/iWqqq4CvYjxfUmsH86uuSB2Hd9jlJT6uvQNBpNK1nO5ttKUqvPpQsOJnDIUOq2bkaxWd0QXccia53JWsyak4Og02FM0X52reHWtARVvfRl/G7dunH0TAmWnxs0aBArVqy45H1fffXVuf/7+/vz8ssvX3bs5OTkC8qSJSUlsWzZsqaErdEAoNQUo9ZXoLtmOoIgYBx9F65P/4Jt/Vv4zVqgFSLXaNopZ1UVzrJTmMeNd9s5zekZ1G/bSt3WrZjT3XfejkCpyANRQgyNv/qDNRew5mRjTE5B1Gsb4lvDrX+t//u//9udp9NovErO3w+ALqk/AKK/GdPIecinsnEe1roSaTTtlfVoJkCLmjdcjqlrKsakZGrWrrnswk5nJVfkIYYmIEjN6wLX2SlOJ/a8XPzStPq2rdXkya3D4eDFF18kIyODwYMHA7Bp06ZzTRMAfvnLX7o/Qo3GS1z5+xHDEhEDw8/dput2LVJif+w7PkWpK/NhdBqNpqUsWVmIAQEYE9xX/UQQBMzjJ+AoLsJ67NJXJjsjVVVPt93VUhKazZ6Xi+pyYdLybVutyZPbp556imPHjvH8888jCAJwOt3go48+8lhwGo23qPZG5NJsdEnXXHC7IAiYRt8NgoRt/duoquKbADUaTYtZjmbi372n2yufBA0bjhgQQM2Pq9163vZMbaxCtdVrm8lawHr87GYybeW2tZr8Tl+9ejUvvPACAwcORDzzAREdHX1uw5dG0565Cg+DqiD9bHILIAaGYRx5K3JJFs7Mdd4PTqPRtJizohxXRYVbUxLOEg0GQq4bTcPePTirq91+/vZIPtOZTFu5bT5bTg76yCh0ISG+DqXda/LkVq/XI/+s3WBVVdUla9JqNO2NK38/GAOQolIveb++xxikhL7Yt3+CUl/h5eg0Gk1LWbKyAPDv2csj5w8ZNx5Uldr1az1y/vZGqcgDQUAM1xrgNIeqqlhzsjFp+bZu0eTJ7ZQpU3j44YcpKCgAoKysjMWLFzN9+nSPBafReIOqKsgFB9Al9rvsZUtBEDCNuQcA24Z3tA0kGk07YTmaiRQUhCHOMzv3DZFRBPTrT+2Gdagul0fGaE/kilxEcxyCzujrUNoVZ3k5cn0dfmlavq07NHly+4c//IGEhARmzZpFXV0dkydPJioqit/85jeejE+j8Til/CSqrf6ifNufEwPDMQ6/GbnoMM6jG7wUnUajaSlVVbFmZeHXo+e5vSKeYE7PQK6ro37P1VvQd3RKRZ6Wb9sCtpxsQMu3dZcm17k1GAwsXLiQhQsXUlVVRWhoqEc/LDQab3Hl7wdBQJfQ76qP1fcah+v4DuxbP0aX0A8xMMwLEWo0mpZwlpXhqq7Cv8cMj47j36cv+sgoan5cQ/CwER4dqy1TLDWolhot37YFrMezEf38PHaFobO54uT2bArCpTQ2Np77f2Killujab9c+fuRotIQTFfvXy0IIqax99K47K/YNr6L35Q/aF/yNJo2ynKmvq2/BzaTnU8QRczp4yn/5GPsBfkYE5M8Ol5bpVTkAyBGpPg2kHbImpODqWuq2yt6dFZXnNxOnDgRQRCumF8oCAKZmZluD0yj8QalsRqlIg/DsLlNPkYMjsI47CbsW5bgyt6Mvvt1HoxQo9G0lDUrCykkBH1MrMfHCh41moovP6dm7Rqi77zH4+O1Refa7oZ3zsl9S8mWRhzFRQQNGerrUDqMK05us87sMtVoOipXwQGAq+bb/py+TwauEzuxbfkQKb4PYkCoJ8LTaDQtpKoqlqwj+Pfs7ZWrK1JAAEHDR1C3bSsRN96MFBDg8THbGqUiDyEkBsHg5+tQ2hXbiROgqtpmMjfS1r81nZqcvx8hIAwxNKFZx51NT0B2Yt/0vlY9QaNpYxwlJch1dR6pb3s55vQMVIeDus2bvDZmWyJXap3JWsKakw2CgKlLF1+H0mE0eUOZy+Xiww8/ZOfOnVRXV1/wx3zJkiUeCU6j8SRVduIqPIy+27UtWtkRQ2IwDr0B+7aluI5vR5/WeTeSaDRtjfVsvm0Pz9S3vRRTUjKmtG7UrF2DecLETpU/qdoaUOsrkHqP93Uo7Y7teA7GhEREk7bi7S5Nfuc9/fTTLF26lCFDhnD48GEmTZpEZWUlI0Zof9A17ZNcchRc9manJJxP33cyYlQq9s3/QbHUujE6jUbTGpasTHShYeijorw6rjk9A2d5GZYjh7w6rq+d7UymbSZrHlWWsZ44gUlLSXCrJk9uf/jhB9544w3uuusuJEnirrvu4pVXXmH79u2ejE+j8RhX/n6Q9EjxLV/ZEUQR09j7UF027Js/cGN0Go2mpVRFwXr0KP49e3m9mknQ4CFIwcHU/LjGq+P62rm2u27cTOYoK8NeePmqTR2BvagQ1W7DT+tM5lZNntzabDZiY0/vODWZTFitVlJTUzly5IjHgtNoPMmVfwAprlerO+lIoXEYBl+P6+QunCd2uik6jUbTUo7iIuSGeq/m254l6HSEjBlH48EDOMvLvT6+rygVuQhBEU0qqdgUckMDBc88Rd7jj1D61hs4q6vdct625lzzBm3l1q2aPLlNTU3l4MGDAPTt25d//vOfvPrqq0RHR3ssOI3GU5SaUtS6U+iS+rvlfIb+UxEju2Df9D6Krd4t59RoNC1jOVPpx7+n9/JtzxcyNh0EgZp1P/pkfF+QK/OQwt23mazsww+QG+oJGZtO/c7t5P7lYSq/Xo7icLhtjLbAejwHyWxGFxbu61A6lCZPbhcuXIgkSQD8+c9/5siRI6xdu5YnnnjCY8FpNJ7iyt8PNL8E2OUIonQ6PcFhwb5Z22Cp0fiS5Wgm+ohI9OERPhlfHxpK4MBB1G7a0OEmY5eiOqyotafc1na3fsd26ndsJ3zmbKLvuIvkJ54ioG8/Kr/8nNy/LqB+x/YOU6HGmpONX2qa1gzIzZpcLaF//59WuFJSUnj33Xc9EY9G4xWugv2IoXGIQZFuO6cUloBh0Cwcu77AmToMfcogt51bo9E0zdl828BBvn3/mdMzaNi9i/od2wm5brRPY/E0ufJ0ZzLJDZvJXDXVnFryPqauXQmbOh0AQ2QUcb/+f1iyMilf+iElr/8ffmvXEHnLPEwprR/TV5zV1bgqK/GbMMnXoXQ4TZ7cAhQVFZGVlYXFYrng9pkzZ7o1KI3Gk1SHFbnkKPq+7v9AMQyYjuvkbuwb30MX091t+WcajaZp7IUFKJZGr5YAuxS/Hj0xxMVTs3YNwaOu69Arc8qZzmStXblVVZXSd99BdTqJufe/EM5cLT7Lv2cvkh5ZRO2mDVR+8Rn5Ty4i+NrriJhzIzqzuVVj+4Lt+Ol8W1Oqlm/rbk2e3L722mu8+uqrpKamYjKZzt0uCII2udW0K66iw6DIbktJOJ8g6jCNvQ/LF4uxbf0Iv/T73T6GRqO5PGvW6fq2fj7Ktz1LEATM6RmULXkf28kT+HVN9Wk8niRX5CH4mxH9Q1p1ntqN67EcOkDkvNsxxMRc8jGCKGIeM46gIcOo+mYF1at/oH7XTsKnz8A8cRKi3tCqGLzJmpODYDBgStLaFbtbkye3b7/9Np999hlpWrkKTTsn5+8Hgx9SjGd+l6WIZAwDpuHYuwJX6lB0SQM8Mo5Go7mYJSsTfXQ0+lDft8QOHjmSis8+oebH1R16cqtU5LV61dZRXkb50o/w79Ub87irN4KQ/P2JvOkWQsaMo/zTj6n4fBk1G9YROfcWAgcPaRcr5bbjOZhSuiDomnURXdMETd5QZjabiY+P92QsGo3HqaqCK38/uoR+CKLnPlAMg2YhhsZj2/geqsNy9QM0Gk2rqbKMNfuYz1MSzhJNfgRfO4qGXTtx1dX5OhyPUF12lJriVuXbqorCqbffRBBFou+5r1md3QzR0cT/z+9I+ONDiEYTJf9+hcLn/o4tP6/F8XiDYrdjy8/DlKotGHpCs6olPPLIIxw8eJDi4uIL/mk07YVSkYdqrfNISsL5BEl/unqCpQb71o89OlZn4Dy+g5Ilj6PaG30diqYNs+fnoVitPqlveznm9AxUl4vajet9HYpHKJUFoKqtWrmtXvU91uxjRN12O/oWlsTy79Wb5EcXEXX7nTiKi8l/4nFK33sbV23b7Bxpy8sFWdbq23pIk5eunE4nmzdv5uuvv77gdkEQyMzMdHtgGo0nnC4BJiAl9vP4WFJUVwz9p+LYvxJd6jB0CX09PmZH5Mhaj33Du4CKMXEnhl7jfByRpq2ynMm39e/Rdia3htg4/Hv1pnb9WsKmTLtok1R7d64zWQsnt/aiQiq/+IzAgYMJGnltq2IRJAnzuPEEDRtO1YrlVP+4moadOwibPgvzhImIen2rzu9O55o3aCu3HtHkldtFixbxwAMPsHv3bg4fPnzu36FDnat/tqZ9c+XvR4zqiugX7JXxDIOvRzTHYtvwDqrD6pUxOxLHwe+xb3gHKbEv+rA4XDlbfR2Spg2zZGViiI1DF9K2ds6HpGfgqqqi8cA+X4fidkpFHoIpCCEgrNnHqi4XpW+9gejnR9Sdd7ktT1byDyDylttIWfQkfj16UvHZJ+Q9upD6PbvbTH1ca042hphYpECtoo4nNHlyK8syN9xwAwEBAUiSdME/jaY9UCy1KOUnPZ6ScD5BZzidntBQhX3Hp14bt71TVRX77q+wb/0IXZch+E36HYF9xyCXHENpqPR1eJo2SHW5ThfEb0MpCWcFXjMAXVgYNT+u8XUobief2UzWkolp5dfLsefnEX3nPeiC3L/gYIiJIf7//Z74PzyIoDdQ8uo/KXzhWewFBW4fqzlUVcV6PAeTtkHfY5o8ub333nt5/fXX28y3Ho2mueSCA4D7upI1lRSdhr7fJJxHfsRVrKXwXI2qqti3L8Wx+wt03UdhyvgVgqQjsM91gIrr+A5fh6hpg2y5J1Ht9jazmex8giQRMjYdS+YRHCUdZ5+KKjtRqgtblJJgPXGCqpVfE3ztKAIHerbhRkCfviQ/tpioebdjL8gnb/GjnHr/XZ9t8nOWlqA0NmopCR7U5JzbDz74gIqKCl577TXMPyuWvG7dOnfHpdG4nSt//+lajOHeryloHHoDrrx92Na/TcDcvyHojV6PoT1QFQX75vdxZq5D3ycD47XzEYTT38H1YbGIkV1x5mzDcM1UH0eqaWvaYr7t+UJGj6VqxVfUrP2RqHm3+zoct1Cqi0CRm72ZTLHbKX37dXRmM5G3zvdQdBcSJAnz+AkEDRtB5denX4f6ndsJmzGL0IyJXi3HZT2eA6BtJvOgJr+azz33nCfj0Gg8SlVcuAoPo08d6pP6h4LOiGnsvVhX/B37zmWYrvXOB3p7oioubOvexJWzDcOAGRiG3njRa6VPG4F964fI1cVIoXE+ilTTFlmPZmFISEQKCvJ1KJekCw4mcMhQ6rZsIuKGGxFNfr4OqdV+2kyW0qzjKj5fhrO0lIQ/PoTk7++ByC5PCgwk6tb5mMemU/7Jx1R8upTa9euIvPlWAq4Z4JW/D9acbMSAAPTRl25UoWm9Jk9uhw0b5sk4NBqPkkuzwWlF8nJKwvl0sT3Q98nAeWg1uq5D0cV091ksbY0qO7GtfhVX3l4MQ+diHDjjko/TpQ7Dvu0jXDlbkYbe6OUoNW2V4nRizckmZOw4X4dyReb0DOq3baVu61bM6VdvVNDWKRV5YPBDCIps8jGWzCPUrFmFOWMi/r16ezC6KzPExhH/uwdoPHSA8o8/ovhf/4t/rz5E3nobxvgEj45ty8nBLzWtWfV8Nc3T5J+sw+HgxRdfJCMjg8GDBwOwadMm/vOf/3gsOI3GXVz5+0HUoYvv49M4jMNuQgiKwLb+LVSX3aextBWq0471u5dw5e3FOOr2y05sAUR/M1Jcb5w527T8f805tpMnUJ3ONplvez5T11SMScnUrF3TIX5/5YpcpIiUJq92yhYLpe+8iT46hogb5no4uqYJ6Nuf5MefIPLW+djycsl7/BFO/ed95Pp6j4wnNzTgKC3RUhI8rMmT26eeeopjx47x/PPPn/tF7tatGx999JHHgtNo3EXO348U2wNBb/JpHIL+dHqCWnsK+64vfBpLW6DaG7GsfA65+Aimcb/A0GfCVY/Rp41ArS9HKT/hhQg17YE1KxMEAb/uPXwdyhUJgoB5/AQcxUVYj2b5OpxWURUZpbKgWfm25R9/iKumhpj7/gvR2Hb2HQg6HaETJtLlqWcwp4+ndsM6Tv7lYapXfY/qcrl1rLP5tlpnMs9q8uR29erVvPDCCwwcOBDxzFJ6dHQ0p06d8lhwGo07KHVlKDUlXq+ScDm6uF7oe6XjPPg98qkcX4fjM4q1DsvXz6KUn8SU8Wv03a9r0nG6LoNB0uHM2ebhCDXthSUrE2NiElJAgK9DuaqgYcMRAwKoWdu+y4IpNcUgO5tcKaFh7x7qtmwibNp0/Lp29XB0LSMFBhI17w6SH3sCU5eulC/9iNzH/0rDgX1uW2m3Hc8BScKU0sUt59NcWpMnt3q9HlmWL7itqqrqosoJGk1bc7orGeiSB/g4kp8Yh9+M4B96Jj3B4etwvE5prMa64u8oNcX4Tfod+q5Dm3ysYPBHlzQA1/HtqIp89QM0HZricGA7cRz/nm07JeEs0WAg5LoxNOzdg7OqytfhtJhyZjNZU1ZuXXV1nHr/HYxJyYTPmO3p0FrNGB9P/O//SNxvfw8qFL/8EkUvvYC9uKhF55MVmXcPf8THB5fTkJ2FMTGpTa1cd0RNntxOmTKFhx9+mIIzxY/LyspYvHgx06dPb9LxzzzzDOPHj6dHjx4cO3bs3O3jx49nypQpzJ49m9mzZ7Nx48ZLHm+1Wvn973/PxIkTmTJlCmvXrj133yuvvML06dO5+eabKSr66Zfv/vvvJy8vr6lPUdNBufL3I4bEIAZH+TqUcwSDH6Yx96DUlODY85Wvw/Eqpa4cy/KnUBqr8Jv6R3RJ/Zt9Dl3aCFRrHbJWN7jTsx3PQXW52mTzhssxjxsPqkrthnW+DqXF5Io80BkRg6+8419VVco+eA/FaiXmvvu9WnKrNQRBILD/AFIW/Y3Im2/DduI4eY8/QtmHHyA3NDTrXBuLtrHz1F6+PLQSy4kcSiJ01Duadw5N81xxcnv+ZrFbbrmFhIQEZs2aRV1dHZMnTyYqKorf/OY3TRooIyODJUuWEB8ff9F9L7/8Ml999RVfffUVo0ePvuTxb731FoGBgaxatYp///vf/PWvf6WxsZGGhgaWL1/O8uXLmTdv3rmYv/jiCwYOHEhycsv6XWs6BtVpQy7O8mmVhMvRJfZD32M0jv3fIpef9HU4XiFXF2NZ/iSqw4L/9IfQxbVsQqJL7A96Py01QYPlaCaIIn7d2na+7fn0kZEE9OtP7YZ1bs/p9BalIg8pPOmqO/7rt22hYe9uwufc6PEqBJ4g6HSETppMl6eeJWTMOGrW/sjJhQ9TvWZVk147i9PCypOr6BGaxhM97kQnwzZTGY9ueZrPs7+m1u6ZjWud3RV/K1988cVz/7/hhhtYuHAhe/fuZcuWLezZs4eFCxdiMBiaNNCQIUOIjY1tcaDffvstt9xyCwApKSn07duXDRs2IIoiiqLgcrmwWCzo9Xqqq6tZtmwZv/jFL1o8nqZjcBUdAcXVZvJtf8444lYEv2Bs695ClZ2+Dsej5Io8rCueBlXBf+afkaJanncn6AzougzBdXJXp0zr0PzEkpmJKTkFya991Y01j89ArqujfvcuX4fSbKqqnGu7eyXOqkrKPvwPft26Ezpxspei8wwpKIjo2+8k+fEnMCWnUP7REvIWPUrjoQNXPO7b3DVYXFZu7DaTgMLTaSg3T/wfronsx48FG3ls69MsO7acGnutN55Gp3HF6wOJiYn8/e9/Jy0tDZfLxWeffXbJpOq5c1tX0uPBBx9EVVUGDx7MAw88QHDwxT2mi4uLL1j1jY2NpbS0FH9/f+6++25uvvlmIiIieOaZZ3juuef4/e9/3+SJ96WEhwe2+Njmioxsm0XHO4LyHUewG/yI6TcIQdI361jvvC5BWGb8mtJPnkJ39HvCxt7mhTG9z1aYRek3zyAZ/Ymd/xj6sJY1YDj/NbEMSaf02Eb8a44R2Guku0LVtICvPsNkq5Xs3JPEzZ7Z7j5HI8aOpHJpDI2b1pE6Y6Lbz+/Jn4ejsogGlx1zlx4EXWYcVVE4/PILoKr0fvB3mKJDPBaPV0X2Iv6aRVTt2EXuO+9S9NI/CB08iJR778I/4cKV6ZL6MtYXbSG967UM6NKdrE+XY4yK5JoBg7iGQZTUl/HFke9Yn7eFTcXbGN91FLN7TSLCP8xHT67juOLk9sUXX+TNN9/km2++weVy8eWXX170GEEQWjW5XbJkCbGxsTgcDp588kkWL17M888/36xzzJ8/n/nzT3d82rlzJ4IgkJaWxoIFC2hoaGDq1KlMmzatWeesrGxAUTxfhzAyMojycu2yhCeoqkpj9m6k+D5UVNkAW5OP9errYu6Ortu11Gz+AkdUvxb1aW/LXIWHsf7wvwgBoRinP0SNHAQt+Nn+/DVR/VMQ/IKp2rMWa0Rfd4asaQZffoY1HjqIKsuQlNouP0eDRo+j/JOPKdh9CFOS+973nn5NnDlHAGg0xmC7zDjVP66m9sBBou64m3opgPp2+PpcUdeeJDz6BDU/rqbq6+Xs/e0DmNPHEz7z+nNVO94+8Ak6QWJC7HjKyuqozzyKMa37uddGhx83dZ1DeuwYvs9dy6rjG1l9fBMjY4cwKTmdcD9tkiuKQosWG684ue3SpQtPPvkkAHfddRfvvfdey6K7grOpCgaDgXnz5vGrX/3qko+Li4ujqKiIsLDTL3ZJSQnDhw+/4DEOh4OXXnqJf/3rX7z33nsMHTqUWbNmMXv2bMaPH4/J5NsapxrvUirzURur22xKwvlMI+fRWHgY2/q38J/zKILYPjZdXI0rdy/W1a8gmmPwm/Ygor/7qqsIoogudTjOI2tR7Y0IxrZfBkrjXpasTJCkdlsQP3jUaCq+/JyatWuIueteX4fTZHJFLkg6xNBLpxo6SkupWPYJ/n37EzJmrHeD8yJRryds8lSCR46i8svPqVmzmrptW4mYPYeyfonsrzjMzK5TCDEG4ayswFFVRUjaxfVtI/zCmd9rLlNSMliVv46txTvYUrKT4TGDmZw8nkj/cB88u/atydUSPDGxtVgs1J/pAqKqKitXrqRXr0uXc5kyZQpLly4FIDc3l4MHD160+eyNN95g7ty5hIaGYrVaEQQBQRBwuVw4nR07n1FzsbMlwKTEfj6O5OoEUyDG0XeiVObj2LfS1+G4hTNnG9ZV/0QMT8J/xp/dOrE9S582EhQXrpO73X5uTdtnPZqFKaULYjtduJACAggaPoL67duQGxt9HU6TKRV5iGGJl/wSrsoypW+/jqDTE3P3PU3uXtae6YKDib7zbpIfXYQxPoGyJR9Q+8w/6F2hZ3zi6XmKNed0TfMrfREL9wvl1h5zeHzkw4yOH8nOU3tZvP053j+ylFOWcq88l47Ca42N//a3vzFmzBhKS0u55557mD59OpWVldxxxx3MnDmTGTNmcPLkSR577LFzx8yePftck4j77ruPuro6Jk6cyC9/+UsWL15MYOBPS9V5eXns27ePOXPmAKdTFZYsWcLMmTOZNWsWQUHtKx9L03quggOIkV08MqnyBH3KYHSpw3Hs+Qq5qtDX4bSKI3Mdth9fQ4rphv/0PyGYPJPDLkZ2QQiOwnlcq5rQnn+YvAAAIABJREFU2chWK7a8XPwvsyDSXpjTM1AdDuo2X7oMZlujqipyRd5l06eqvluJ7cQJom+/E5051MvR+ZYxMYmEBx+m/tapqE4HE38oovzVV3CcKsWak41oMjWpYkSoyczN3WezeOSfGZcwij1lB3hi2/O8c/hDShq1xllNIagdocG1B2g5t+2bYqun8f3fYhg0C+OQOc0+3levi2Krx/LJQoSgCPxn/xVBlLweQ2s5DnyHfdvHSIn98Zv4Pwi6lm/sPEtxOAh0NmAJuDgHzb7rCxx7lhNw+4vt5otMR+Kr90rDgX0Uv/wSCX98CP9evb0+vjvl//1J5NpaUp78+1VLazWFJ18Tpa6cxo//hHH03Rh6jbvgPlt+HvlPLiZo0GBif/lrj4zf1tlcdhZte5ZIfQh3VaVS/c0KFKcT0WgkKC2V6N/+sdnnrHPUsyZ/AxuKtuKUnQyM6seUlAziA1tegaq9aGnOrddWbjUab5ILDgJqu8i3PZ9oCsJ43R0o5SdxHPjO1+E0i6qq2Hd/iX3bx+i6DMFv0m9bPbFVFYXaTRvI/cvD7PvdA1hPnLjoMbq04YCK6/j2Vo2laV+sWVkIOh2m1ItzGNsbc3oGzvIyLEcO+TqUq5IrcgEuWrlVnE5K33oDKTCIqPl3+iCytmF1/jrqHPXM6Tmb8KnTSXny7wSPHIVitWK+pvkNawCCDUHMSZvOEyMXMCk5nSOVR3lqx4u8cfB9CuqL3fwMOoaOsWtFo/kZV/5+BL9gxMgUX4fSbPquw3B12YFj9xfoUgYimVtWNsubVFXFvn0pzgPfoet+HaYx97Rq1VlVVRoP7Kfis09xFBdhTOmCYrVSu27NRX3pJXMcYkQyzpxtGPq171qamqazZGVi6pqK2IqSj21F0OAhlC8NpubHNQT0bdkEyFuUijwQJMTQCxsyVX71BY6iQuJ++wekQO+V0mxLqm01rM7fwOCoa+gScnryrwsxE3P3vUTMuZGYLrFUVFlafP5AQwCzUqeQkTSGtQWbWFe4iX3lh+gX0ZupKRkkBye666m0e9rKrabDURUZV8FBpMRrEIT2+StuHHUHgs50urmDovg6nCtSFQX7xndxHvgOfZ8JmMbe26qJrfV4DoXP/Z3if76EKruI/e/fkPSXR4kaN4b6nTsu2fpSnzYCpfwkSm1pa56Kpp2QGxuxF+Tj37N959ueJeh0hIwZR+PBAzjL2/bGIbkyDzEs7oKrMtbsY1R//y0hY8YR2L99XS1zp6+OfwuozE69uPSoLiQEQXJPmlmA3p8ZXSexeOQCZnSZxPGakzy765+8sv8tTtTmuWWM9q59/uXXaK5APpUDDgu6pLa9AnIlon8IxlHzUcqO4zz0g6/DuSxVcWFb9zrOrPUYBszAeO38Fn+hcJSWUPx//6Lg6b/hKC0hav6dpCx6kqAhQxEEgZipk1GdTuq2bLroWF3X4YCAM0dLTegMrMeOgqri10EmtwAhY9NBEKhZ96OvQ7ksVVVRynORIlLO3abYbJS+/Qb68Agib77Fd8H5WG5dPjtP7WV84hjC/byzkc5f78fULhNYfO0CZnWdQl5dAS/sfoV/7n2DnJrO0dL9crS0BE2HI+fvB1FCl9C+C/vrUkcg5WzHvvMzdMkDEENifB3SBVSXA9ua/8OVtxfDsLkYB8xo0XlcNTVUrviK2o3rEfQGwmfPIXTi5IvKOwWkpGBKTaNm/VrMEyZdsPFGDAxDiu2BM2crhkGzOkX5oc7McjQTQa/H1KXlLZzbGn1oKIEDB1G7aQPhs+e0yXQL1VKDaqu/oO1u+adLcVZUkPCnPyOa2lcLZHdRVZXPsr8myBDIpORxXh/fT2dicsp4xiaMYmPRVtbkb+DFPf9Hd3MqU7tMoJu5a6f7TNRWbjUdjit/P1JMdwRD+/6gFQQB0+i7QNJjW/82qtp20hNUpw3r9y/hytuLcdQdLZrYylYrFV9+zsmFD1G7aQMhY9Pp8tQzhM+cfdm6peZx43GeOnW6eP/P6NJGoNaWns4J1HRolqws/NK6Ieqb11K7rTOnZ6A0NlK/o21egVDObSZLAaDx0AFq168ldNJk/Lv38F1gPra3/CAnanOZ2XUyJp3vai6bdEYmJo9j8bV/5sZuMym1lPG/e1/jxT3/Jqsqm85UHEub3Go6FKW+AqW6qN1VSbgcMSAU08jbkEuP4Ty8xtfhAKDaG7GsfB65OBPTuPsx9Mlo3vEuF9VrVpG78CGqvl5OQP8BpCx+iuj5d6ALuXL/+cAhQxADA6m9xKVbfZchIEo4c7Y2Kx5N+yLX1+MoLMCvR09fh+J2fj16YoiLp+bH1W1yIiKX54IgIIYlIjc0UPru2xji4gm//gZfh+YzTtnJlznfEB8Yy8jYob4OBwCDZGB84mgWjfwzN3WfTaWtin/ue4MXdr/C4cqsNvm75W5aWoKmQznblayjTG4BdN2vQzqxE/uOT9ElXYMYHOWzWBRrHdaVL6BUF2LK+DX6rk3/MFcVhfpdO6j84jOc5eX49exF5I03NevSsqg3EDJqNNWrvsdZXY0+9KfcNsEUiC6xP67j21GH3+KWeqGatsdyNAugw2wmO58gCJjTMyhb8j62E8fxa2NlzuSKPERzLILeSNk77yDX1xP/2z8g6tteCoW3rCvcTKWtmv834H7ENraB2SDpGZcwilFxw9lWspPvc9fy6v63SQpKYFqXCfQN79Vh0xXa1iuh0bSSK38/QnAUQhvLT22Nc+kJgohtwzs++9atNFZjXfE0Sk0JfpN/16yJrSXzCPlPLqb09X8jGE3E//4BEv74UItyJkPGpoOiULdx/UX36dJGoFpqkEuPNvu8mvbBcjQTwWjElNLF16F4RPDIkYgmEzVr28aVmvMplXmI4cnU79xB/Y5thM+cjSnp0p3KOoN6RwPf5a6hX0QveoZdvq2ur+lFHaPjR/L4yIeY33MujU4L/z7wLn/f+b/sKz+E0oZS3txFm9xqOgzVZUcuzkSXdE2H+zYqBoZjHHErcnEmzsx1Xh9fqSvDsvwplMZq/Kb9EV1i0ypR2PLzKHzxeQpfeBa5vp6Y++4n+dFFBPTt3+LXyBAVhX+fvtRsWIfqcl1wny55AOhNuLTUhA7LeibfVtB1zAuPosmP4GtH0bBrJ666Ol+Hc45iqUVtrEb1i+bUf97D1KUrYVOn+zosn/r6xPc4FCdzUtvHz0En6rg2bhiPjfgTd/S6Gbts542D7/P0jpfYfWp/h5rkapNbTYchF2eC7OxQKQnn0/ccixTfB/v2pSgNlV4bV64uxrL8KVSHBf/pD6GLvfrGEWdFOSVvvkb+E49jO3mSiJtuIeXJpwkeOcot6QLmceORa2po2L/vgtsFnRFdyiCcJ3ahys5Wj6NpW1y1NThKijtkSsL5zOkZqC4XtZe4OnE1VbZqVh/f5PaJilKZh6pC1caDqA4HMffd77a6re1RcUMpm4t3MCZ+JNEBvksVawlJlBgRO4RHhj/IXb1vRVYV3j68hCe3/4OdpXs7xCRXm9xqOgxX/gHQGZGaMPlqjwRBwDTmblBVr6UnyBW5WFc8DaqC/8wFSFFXTiOQGxooW/oRuX9dQMPuXYROnkqXvz9L2OSpbs3LC+h/DbqwMGrXrb3oPn3aCHBYcBUcdNt4mrbhbL6tX4+OPbk1xMbh36s3tevXospyk49TVIU3D/6H13ctYV3hZrfGJFfkYS0Hy7HjRNx4M4aYWLeevz1RVZXPc77GT2diapcJvg6nxSRRYljMIP46/AHu7TMPQRB498hHPLH9ebaX7EZWmv6719Zok1tNh6CqKq78/ejieyNIHas80PnEoEiMw29GLjyE6+hGj47lKs3GsuIZ0Bnwn7UQKSzhso9V7HaqVn7NyQV/omb1DwSNGEnKk88QOfdmJP8At8cmSBIhY8ZhyTyM49SFXcmk+N4IpiBcOdvcPq7Gt6xZWYh+fpiSO36eZ0h6Bq6qqouuTlzJ2oJN5NUXEBcUzZc5K8mvL3RbPI7cY9QVCPj17IV5fPMqpHQ0R6qOkll1jKldJhCod//nm7eJgsjg6AEsHPYHftH3DvSinvczl7J423NsKd7ZLie52uRW0yEo1UWoDZVIHTQl4Xz63ulIsT2xbfsIpbHaI2O4Cg9jXfkcgn8I/rMWXraBhCrL1G5Yz8m/PEzF58vw696D5Mf/Rszd96EPC/NIbGeFjB4DknTR6q0g6tB1HYYrby+qw+rRGDTeZTmaiV+37p3icnjgNQNOX51o4sayckslK058T7+I3jyR8SBBhkDeOfQhNpet1bGoikLl5iwQRWLu+UWnrkQiKzKfZ39NlF8EY+JH+joctxIFkYFR/Vgw9Pf8st9d+Ov9WJL1KYu2Pcumom04FdfVT9JGdN7fUE2H0hFLgF2OIIiYxt4Lioxt47tuT09w5u7B+t2LiMFR+M9cgBgYftFjVFWlYe8e8h5/hFPvv4M+LJyEhxYQ//9+jzE+3q3xXI4uxHy6o9PmTSgOxwX36dNGgOzElbvHK7FoPM9ZXY3z1KkOn297liBJhIxNx5J5BHtx8RUfq6oqH2YtQxIkbu0xhyBjIHf3vpVyayWfHPuq1bFUf/c1jhonYWMGoQ+/+POgM9lUvJ1SSxnXp01HJ3bMTY2CINA/sg8PDfktv+p/D0GGID46+jmPb32G9YVbcLaD/Qza5FbjFtuOlPLql4dQfFSmSs7fjxiejBjgnZ7eviYGR2EcOhc5fz+u7C1uO68zZyu2Vf9CjEjCf8afEf0vbqpgzcmm4JmnKH7lZVRFIfZX/0Pigr/6pEORedx4FEsj9Tt3XHC7GJ2GEBShNXToQKxnutL5dZLJLUDI6LEIOh216668erulZAfHao5zQ9p0zMbT79luoalMSclge+ludpS2/EuevaiIyuVfYTRD8HVjWnyejsDitPLNyR/obk6lf0RvX4fjcYIg0DeiFw8O/g3/c80vCDOF8smxL1m07TksTouvw7uijvm1Q+NVLlnh07XHqa63s693NIO6R3p1fNXWgHwqG0MLWsC2Z/q+E3Cd2Ilt64dICX0Q/c2tOp8jcx32je8hxfbAb/LvLmpf7CgppvzzZTTu3YMUEkLUHXcRct0Yn14i9uvRE0NMLLXrfyRk1HXnbhcEAX3qCBz7V6JYai85Sde0L5ajmYj+ARgTEn0ditfogoMJHDKUui2bibhhLqLp4pbiNfZaPs/+hu7mVK6NG3bBfVNTMjhWncPHRz8nJTiJKP+IZo2vulyUvvU6gl5HSBcZKTKlNU+n3fsudw0Wp5Ubus3scOUmr0QQBHqFd6dnWDeya45zpPIYBqltN+7QVm41rbb1cCnV9XaMBolvtuZ5vcmAq/AQqGqnSEk43+n0hPvA5cC+6f1W/dwdB77FvvFdpMR++E194IKJraummlPvv0Puo3/BmnmE8OtvoMtTz2Iem+7z3EdBEAgZl47txAls+XkX3KdLGwGqguvETh9Fp3Ena1YWfj16dLp8T3N6BorNRt3Wi69CqKrKx0e/QFZlbut540UTLkmUuLvPbUiCxDuHP8TVzJzJym9WYM/PI3RwMrrQcERTUKueS3tWbqlkXeFmRsQOITEoztfh+IQgCHQPTeP6tGltPiWjc31KaNxOUVW+3ZZPUlQgN41L5WRJHUfza7wagyt/P4IpCDGy+d2u2jvRHINxyBxcuXtwHd/e7ONVVcW+6wvs25ai6zoUv0m/RdCd/kYuWyxUfL6MkwsfpnbzJszjJ5Dy9LOEz5iFaDS6+6m0WPC1oxAMBmrX/XjB7VJYAmJYAs7jWtWE9s5ZWYGzohz/Dl4C7FJMXVMxJqdQs3b1RV9g95Qd4GDFEWZ0nXTZVdkwUyjze91Efn0hy0981+RxbSdPUPXNCoJHjsLkV4cU0fErVFzJl8e/QRIlZnad7OtQNE2gTW41rbL3WAWlVRamjUxmdP9YggMMrNyWd/UD3URVFOSCg0iJ/Trdis5Z+n5TECO7Yt/8HxRr0zsaqaqKfdvHOPZ8ha77aEzjf4Ug6VCcTqpXfc/JhQ9RtfJrAgcMIuVvTxN123x0QcEefCYtI/kHEDRsOHXbtiJbLswD06WNRDmVg1JX5qPoNO5gOZNv69+zp48j8T5BEDCnZ+AoLsZ6ps4vQIOzkU+OfUlyUCLpCddd4QwwILIvo+NHsiZ/A4crr96aWnE4KH3rDXQhZiJuvAGl9hRiJ57cZlcfZ1/5ISYlpRNibHufgZqLdc7ZgMYtVFVl5bY8osx+DO4RiV4nMXFIAodOVpFXWu+VGJSy46j2hk6XknA+QRQxjbsP1WnDvvmDJh2jKgr2je/gPPg9+r4TMY29B4C6bVvIfWQB5Us/wpSYTNIjjxP7X/+NIbJtd+Axj8tAdTio23ph4Xp96nAAnC1Y1da0HdasLKTAIAxx3qnE0dYEDRuOGBBAzXllwT7LXoHFZWV+r7lI4tXTg25Im0FcQAwfHFlKrf3Kn88Vny/DUVpC9D33ga0SUDvtyq2iKnyW8zWhRjMZSZ17Q117ok1uNS2WlV/DyZI6pgxPQjqzapo+MAE/o8S3272zeuvK3w+CiC6hr1fGa6uk0HgMg2fjOrET51VyTFXFhW3tazizNmAYOBPjyHlYjhwh/4nHKX3zdSQ/f+L/8CAJf/wTpuQU7zyBVjKlpGBM6ULturUXXLoVgyKQYrrjytnq9VxwjXuoqoolK7NT5tueJRoMhFw3hoa9e3BWVXG4MosdpXuYnDye+MCmdQozSHru6TMPm2zn/SMfX7bFqiUrk5rVP2Aen0FA7z4oFac/y8WIFHc9nXZlR+keCuqLmJU6BUMHbhDU0XTOTwqNW6zcmktwgIFR/X4q8O9v0jFuYDw7s8o4Ve35UiGugv1IMd0QjO2/S0xrGa6ZihiRjH3zB6i2hks+RnU5sP7wL1zHt2MYdjNq1GCK/vE8RS8+j2y1EPOL/yLpkccJ6NP+viyYx43HUVKM9diFl111aSNQqotRqtzXrUnjPc6yMlzVVZ2mvu3lmMeNB1Wlct1qPsr6nJiAaCanjG/WOeICY5jbbSZZ1dmsyd9w0f2y1Urp22+ij44h4sabT99WkYvgb251NZb2yC47WH78O5KDExkSPcDX4WiaQZvcalokt7SOw7nVTBqaiF534SWxiUMSkUSR77bnezQGpaEKpbIAKbHzpiScTxB1mMb+AtXeiG3LkovuV502rN+/hJy/D7HvHKp25JP/xOPYCvKIvOU2Up54muAR17bb1bGgocMQ/f0v2lim6zoUBAmXVvO2XbIcPVPfthNuJjufPjKSgH79qVy3hjpLDbf3nIu+BTvWR8UNZ0BkP5af+I6TtRd+Rpd//CGu6ipi7v3FuU2jSkVep823XZ23jlpHHXO7zUQU2ufnYmelvVqaFlm5LR8/o8S4ARfnwJkDjVzXL4bNB0uoabB7LAZXwQGgc3QlayopPBHDwJm4crbiytt77nbV3ohl5fM48o7QKPeh6L3lNOzbQ9i0GXR56llCJ05G1LfvS26i0UjwtddRv2c3rtran243BSEl9MGZsw31MpdiNW2XNSsLKSQEQ2zTLr93ZJZhfdFb7MyyJNMlpGUTTkEQmN/zRkIMwbxz+EOsrtMtqhv27aVu80bCps3ALzUNOH2lR6ku7pT5ttW2Glblr2dQVH+6hqT4OhxNM2mTW02znaqysDurjPSBCfibLr1yMHl4ErKismpngcfikPP3IwSGI4Z2zpqDl2MYMAMxLBHbxvdQ7Y0o1joavnya2n3HKT+kp27PEUJGXUeXp54h4oa5SP7+vg7Zbczj0kGWqd104SVXfdoI1MYq5NJsH0WmaQlVVbEczcS/R89OVTT/Uhyykw/VPdQF6+l2pKpV5/LX+3Nv33lU22v4+OgXOOtqOfXeOxgTkwifOfvc45SqAlCVTrlyu+LE96ioXJ86zdehaFpAm9xqmu3b7flIksjEIQmXfUx0qD9De0axdm8RFpv7+1CrLgeuosPokq7p9H/0fk6QdKerJ1jrsK59i4r/e4RT6wppKFDx79OP5EVPEn3nPejMHa9VsSEmFr+evahdvw5V+WmVVpcyCCQDrhyt5m174iwtQa6t7fQpCQDf5q6mzFpJ4Jix2I8fv6hpSXN1DUlhWspEdpXuJevN/0WxWoi5734E3U8LFvKZzWRSJ9tMlldXwPbS3aQnXEe4X5ivw9G0gDa51TRLdb2dLYdKGN0/lpDAKxfynzYiGZtDZu3eIrfHIZccBZcDXZKW5H8pUkQKul6TKP1mDzVHatHHxpP48F+I/81vMcZ17JVu87jxuKoqaTx44Nxtgt6ELmUgzhM7UOXmdWnS+I4l63Rd186+mSy/vpDV+esZGTuUbhPnIBgMF5QFa6nJKemMLQvGeOQExmmTLmptrFTkIhgDEQI6zwRPVVU+y/6aIH1gszfsadoObXKraZZVuwqQFZXJw5Ou+tik6CD6dg1j1c4CHE7ZrXG48veDZECK63xF3ZuqsVyHywrRt80l6ZG/4detm69D8orAAQORQswXbSzTp40AeyNy0SEfRaZpLsvRTHShYeij2nadZU+SFZklmcsI1AdwQ9p0pIAAgoaPoH77NuTGxtadu7qGgVuKKY0ysiSqCOfP2vPKZzaTdaarY/vKD3G89iQzuk7CT2fydTiaFtImt5oma7Q5Wbu3iGG9ooky+zXpmOkjkqmzONl8sMRtcaiqiit/P1J8r3OtYjUXctXVUb16FYGDhxCSMaNT/XESdDpCxoyl8dBBnOXl526XEvqBMQCnlprQLqiqivVoFn49O3e+7er89RQ2FHNLjzn460/nx5vTzzQt2byxxedVVZVT774FikLoXXdSaCnhy5xvfrpfdqFUFXaqzWROxcWXOd8QFxDDyNihvg5H0wra5FbTZD/uKcLukJnahFXbs7onmkmNC+bb7fnIint2qis1Jaj15VqVhCuoWrkC1eEg4vobfB2KT4SMHguCQM36teduEyQd+q5DceXuQXV6roqHxj0cxUXI9fX4d+J829LGMlbmrmZgZD8GRP5Ue9qUlIwprRs1a3+8ILe8OWrX/YjlyGEib76Vfj1GMS5hFOsKN3Ow4ggASnURKHKnat6wvnAzFbYqbug2o0ld3zRtlza51TSJ3SmzelcB/bqGkxQd1OTjBEFg2ohkKmpt7Mwsc0sscv5+QCsBdjnOygpq160leNR1GGI7dn7t5ejDwgi4ZgB1mzaiOH/a0KhLGwkuxwVl0jRtkyXrdH1b/56dM/VIURWWZC3DIOq5qfv1F91vTs/AWV6G5XDz02wcp0op/3Qp/n37ETJmHADXp00nITCODzI/ocZei1yRC9BpVm7rHQ18e3INfcJ70iusu6/D0bSSNrnVNMmmAyXUW5xMG9H0VduzrukWQWy4Pyu35bmlBaorfz9iWAJiYHirz9URVS7/CoDwmRf/QexMzOPGIzfU07Bn17nbpJhuCAFhOLWGDm2eNSsLXUQE+ohIX4fiExuLtnGiNpcbu80kxHjxgkLQ4CFIwcHN3limyjKlb7+JoNMTfde951I+9KKOe/vMwyk7effwR7jKc0HvhxDcOX7+K0+uwqE4uCFtuq9D0biBNrnVXJVLVvhuez6p8cF0T2x+C0bxzOptYXkjB09UtioW1WFBLs3WVm0vw15cTN2WTYSkZ6AP79yTf/9evdFHRlG77rzUBEFElzocueDQZVsUa3xPVRQsx7I6bUpCpbWar46vpFdYd4bHDL7kY07nlo+j8eABHOVNvypW/f232I7nEDX/DvShF5YDjA6I4ubu15Ndc4LV9dlIEUkInaAzV0njKTYVb2d0/AhiAqJ9HY7GDbzyW/vMM88wfvx4evTowbFjx87dfvLkSW655RYmT57MLbfcQm5u7iWPl2WZRYsWMWHCBCZOnMinn3567r5ly5Yxbdo0rr/+eg4fPnzu9gULFrBr165LnU7TTDuzyqisszF9REqLN3YM7x1NWLCRlVtbV5vRVXgIVBlJm9xeUuVXnyMYjIRN01YfBFEkZFw61uxj2At/aiaiTxsBqozzxA4fRqe5EnthAUpjY6dMSVBVlY+Pfo4K3Nbjhit+5oaMTQdBuKgyyOXYC/Kp+OoLAocMI2jY8Es+ZkTsEAZHXcMqo5280IiWPIV25/PsrzFKBqalTPR1KBo38crkNiMjgyVLlhAff2Gr1scee4x58+bx/fffM2/ePB599NFLHr9ixQry8/P54YcfWLp0Kf/85z8pLCwE4NVXX2XZsmX85S9/4bXXXgNg+/btSJLEkCFDPPvEOgFVVVm5LY/4iAD6p7V8JVAniUwelsSxwlqyC2tafB5X/n4wBiBFpbb4HB2V7eQJGnbvInTSZHRBwb4Op00IGTUaQae7YGOZGJ6EaI7TGjq0YdYz+badsXnDjtI9HKk6yuyuU6/aQEAfGkrgwEHUbtqI4nBc8bGK00nJm68jBQYSffudl500C4LAzdEjMbsUlsiFWJyWFj+X9uBw5VGOVB1lasoEAg0Bvg5H4yZemdwOGTKE2J/1Ba+srOTIkSPMmDEDgBkzZnDkyBGqqi5uK7hy5UpuuukmRFEkLCyMCRMm8N133wEgSRJ2ux2LxYJer8fhcPDyyy/z4IMPev6JuYGroeUTPW84cLySovJGpo5IQmxlOZ4x/eMI9NPz7bb8Fh2vqgpywUF0Cf0QtJ2sF6n4/DPEwEBCJ03xdShthhQYSODQYdRv3YJiswGn/3jr0kYglx5DaWhdmozGMyxZmeijotGHdZ7mAQB1jno+y15B15BkxiSMbNIx5vQMlMZG6ndsv+LjKpd/iaOokOi77kEKDLziY43VJdxWWkutbGdJ1mdu2SvRFsmKzOc5XxPhF86YhGt9HY7GjXyWTFNSUkJ0dDSSdHqSIkkSUVFRlJRcXA+1pKSEuPO6KsUGcWPtAAAgAElEQVTGxlJaWgrAn/70J+69917eeOMNfv3rX/P6669z0003YTY3PzfU2+SaYvL/9z6cJ3b6OpTL+mZbHuHBRob1an0ektEgMWFwAvtyKigsb36+o1Kei2qtQ5fUv9WxdDSWzCNYMg8TPm0Gkl/TahB3FuZx41FsNuq2/7SJTJ82AgBnzpUnBBrvU2UZa/axTpmS8Omxr7DLdub3nIvYxFxXvx49McTFU/Pj6stOQq052VR/t5Lg0WMI7H/1ro5yRR6JLpGZXSezr/wgm4s75vtkS8kOShtPMSdtOnpRd/UDNO1Gu381J02axKRJkwDIzc3lwIED3H///SxatIjKykqGDBnCnXfe2ezzhodf+ZutO6jhaRRFpeDcsZSYQaMQ9VduZ+tth09UklNYy39d34/YmBC3nPOmST35bkc+a/cV88C8S2+UuJyqI5lYBJHoAdci+Te9HFlLRUZ6fgx3UFWVA8u/wBAeTtpNsxENHbexRUteEzViAFVdutCwcR1pN848fTk2MoiiuG6ouTuInHiLByLtXNz5XqnPzkGxWokeOrDdvAfdYUfhPvaUHeDWfrPol5LWrGPlWdM48e838KsuJajH6TJWZ392stXKvnffwhgZSa9f/xc6/6t/+S2uK0SM6cJtQ2ZwsjGXZTkrGNKlD4khHae0oMVhZeXmVfSO7MaEXiO81iikM/1O+5LPJrexsbGcOnUKWZaRJAlZlikrK7sofeHsY4uLi+nf//SK3c9Xcs966qmnWLBgAcuXLycsLIzHHnuMO+64g/T0dBITEy96/JVUVjagKJ6/FBM++V5KPniU4tVLMQ6Z4/HxmuPD7zIJ9NMzMDWM8vJ6t513zDVxrN5VyNShiUQ0sdMZQGPWTqSoVKoagUb3xXMpkZFBbn3OntSwdzcN2dlE33kPlbV2oGM2KGjNaxJw3VjKPniXgm178Us704Y4ZRiOLUsoPZqFFBZ/5RNoLsvd75WqrbsBcMWmtJv3YGtZnFbe2Pkh8YGxXBs+stnPW+w7CNFk4uRny4m9/5cXvCan/vM+tlOnSPjTn6ludF31s1NVFWz/n733DI/jutJ13+rcyJGIBEAABIhAMJMAc845iaQkKtiyLMn5zp37zByfscdn5swzyfbIQZJlZVKJOQvMOSfkDCInNnLqWHV/wKQEERkNdIPq95eE2rVrNTvUV3t/a63KQpRjZ1Gra2Vb5Gb+re53/Nelv/D3U3+CSq4c8Ou0Jw7kH6PZ0MqasBXodMNTOWUk3VfsBZlMGNBio81sCd7e3sTExHD06FEAjh49SkxMDF5deKyWL1/Onj17EEWRuro6Tp8+zbJlyzqNOXjwIAkJCYwZM4b29vbHT2GCINDWZr+GeG1IHIqIGRhTjiE2Pez9hGGitKaF1IJaFk8NRq20rr916bTRCAIk3yztffDfENsaEHVFjioJ30ISRXQH9qH088dt1mxbh2O3uM1IRKbR0PCNrHJF+HQQBMwFjsQye6ItJwuVfwCKEWAtsxYH8o/RbGrluZgtA+qMJdNocZs5m5Y7tzA3NT3+e2t6Go3nz+K5ZBlOUdF9mktqqgGTHrlvGADuald2xj5DZWs1+/OP9js2e0TXXsv50svM8J9CiGuwrcNxMAQMi7j9l3/5F+bOnUtVVRUvvfQSq1Z1lCn69a9/za5du1i2bBm7du3in//5nx+f88orr5CWlgbAunXrCA4OZunSpWzdupU33nij00psQ0MDe/bs4Qc/+AEAa9eu5fr166xevZqwsDCio/v2pbYV6hnPgCDDcP1zW4fymBM3ilGr5CyaYv0vvpebhqQ4fy6mVtDU2nOG7yMsJamAoyvZt2m+fg1jRQU+GzYiyB1Jdt0h02hwTZpFy+1bWJo7Vk5kTu7Ig+Iw5V9/ahNmRhqS2Ux7Xi7amO9OlYTsujyuVt5k0ei5gxJaHgsWIpnNNF66AICltZWqD99DFRiI94a+t+G26DrKNcq+0Zks1juaRSFzuVR+jfs1aQOO0V44mH8cmSBjTcSy3gc7GJEMiy3hl7/8Jb/85S+f+HtERESnmrXf5N13333833K5vJPw/TYeHh7s3r270//v2rVrEBEPLzIXL1ST1mC8tQ9zWQaK4DibxvOwoZ2bmTUsmRaMs2ZotqBWJIZwJa2S03fK2Dg3vNfx5pIUBGcvZF6Op+xHiCYTukP7UYeE4jLZUfauNzzmL6Tx3Bkar1zCa/lKoCOxTH/+r4g1Bcj9+udzdGB99MVFSAbDd6Z5g8Fi5LPsfYzS+rByzOBqrKoCAnGKiaXx/Dmk55+h5tNdWJqbCfrRz5Ap++7DF3XFIFMg8+xs/Vsbvpy8+kJ2Ze8lxC0YL41nNzPYN/kND7j3MI1VY5bgobZOLokD++Ppbz0yQlCNX4bg6ovh6m4k0WzTWJJvliAIsHRa/1vt9pUAb2cmR/ly9k4Z7YaeX69kMWEuz0ARkjBspv+RQOPF85hra/HZuBlB5vgq94Y6KAjt2CgaL5xHEkUAFGFTQK7A5Kh5axe0/a2+rVP0d6NSwtHCZHT6OnaM22wVL6vHwkWY6+vI+8Ofab5xDe/Va9GEhfVrDouuCJn3aIRvVQ9QyBS8FLcDUbLwQcZnWETLoOMdbkRJZF/eETzU7iwOmWfrcBwMIY47op0gKFRoknYgNlRgyuhfr3Br0tRq5FJqJTPj/fF0HdrqDSsSQ2kzmLlwv6LHcZbKXDDpHZaEbyDq9dQdPYI2KhqnuHhbhzNicJ+/ENPDGtoyO7oZCiotipCJmAtvIo3Am7WtsdSVYmmzXoJMe3Y2qqBg5K5Pf0b5g8YSzpVeZk5QEmM9e9+96gvOCRNReHnx8Nx51GFj8FrRv06FkiRh0RUj9w7t8vgoJx+2RW+ksLGIE0W2u08NlNvV9ylpLmNt+HJU8qe3qowDh7i1K+ShE5EHx2O4fRCxvan3E4aAU7dLMZtFls8YulXbR4QHuhET6snJWyWYzGK348wlKSBXIA+MHfKYRgr1p09iaW7CZ9MWx2p2P3CZPAW5q2vnxLLIJKT2JizlmTaMbORhqS+nbf8/U/X5/7HKg4FoMtFekIfTuKffkmAWzezO3oO72o11ESusNq8gl+O5bAVyZycCvvcKgqJ/zkOpRQeG1k5+228z3X8yM/yn8FXRGfLqCwYb8rBhtBg5VHCCENdgpvlPsnU4DoYYh7i1IwRBQD1zB5iNGG/uHfbrtxvMnL1bzuRoXwK8h6cN4crEUBpajFzLqOp2jLk0BXlgDIKd1QG2FZaWFuqTT+A8YSLaCIdPtD/IlErcZs+lNeU+prqO7mSK0eNBpXVYE/qBJIroL34AgoChsgBT2slBz6l/UIhkNH4nmjckF5+jsrWa7dEb0So0Vp3bc9ESpn/4HqqA/tekfZRMJu9B3AJsjVqPr9abDzM/p8XUOqA4h5vTJRdoMDSyaeyaPjfIcDBycbzDdobcIxDl+CWYci5hqSkc1mufv19Ou8HMysSef9isSWyYJ6F+rpy4XtxlXWGxsQqpsRrFaIcl4RF1Xx1H1Ovx2bDJ1qGMSDzmzQc6PMvQYQlSjpmKuegOkrlv1Tu+65gyzyBW56OZ8yJOY6dhuH0AsalmUHO252SDIKCNerrFbUVLFclFZ5nmN4l4n6FZpR5oIxdRVwyCrNfEXY1CzUvxO2g2trAra4/dVxtpMDRyqvg8k3zHE+kxxtbhOBgGHOLWDlFPXoegdUV/dTeS1P12vTUxmS2cvFlKbJgnYwLchuWa0LFavTIplOr6du7mPlnn11ySAjhKgD3CVF9Pw5lTuM5IRB3cv8YkDjpQ+vjiPD6BxksXkcwdyYyKyCQw6TGX3LdxdPaP2KzDcHMv8uB4FGNn4rP8FZDJ0V/8YFAipy0rE/XoEOTOw7NrZAtESWRX9h60Cg2bx661dThPYNEVI/MMQlD0Lo5DXINZH7mSNF0mF8qvDkN0A+dIQTKiJLI+cqWtQ3EwTDjErR0iqLSoZ2xFrCnAnHdtWK55Nb2KxlbjsK7aPmJKlC9+nlqOXS9+4uZoLklF5hGIzM132OOyR+qOHkISRbzX2Vc3u5GG+/wFWBobabl/FwB5wDgErTtmhzWhRyRJQn/5IwA0c15EEAQUbt6oE5/BUpGFKefigOYVjUb0hQVPfZWEc6WXKW4qZUvUOlxU9iXiJUlC1BX16Lf9NguCZxPnPY4D+ccoa+45MdhWlDSXcaPqDvNHz8ZH623rcBwMEw5xa6coxs5ENiocw40vkIztQ3otUZQ4caOEMH9XYkKHv3ahTCawIjGU4qpmMovrH/9dMrZjqcxGHpIw7DHZI8bqahovX8J97jxUvqNsHc6Ixjk+AYW3Nw3nzwEgyGQoImZgLklFMowMD6EtMOdfw1Kahnr6ZmSuPo//rhw3F3lANIbrnyO2NfR7Xn1BPpLZjPYpTiZ72FbLkcJkxvvEMGWU/e1ESW0NSO1Nvfptv4kgCDwfsxVnhZb3Mz7FYLEvW48kSezPO4qz0onlYQttHY6DYcQhbu0UQZChmfkcUnsThruHhvRad3IfUlPfzsrEUJtl3ifF+ePuouL4teLHfzOXZ4JoQREy0SYx2Ru1hw4gyOV4r7K/7cyRhiCT4TFvAe3ZWRgrO1aclGOTQDRjenDbxtHZJ2J7E4arnyIbFYEydlGnY4IgQzP3JbCYMVz+pN9zt+Vkdfhtx0ZZK1y7QpIkPs3ei1yQ80zUBruscCI+7kwW1q/zXFUu7IzdRk3bQ/bmDu29qr+k6DLIayhk1ZilaBVaW4fjYBhxiFs7Rj4qHGX0HExpp7A0DM2WjyRJHL9WjJ+XE5OjbLf1r1TIWDYthKzieh5UdpRBs5SkgEqL3N9REcBQWkLzzet4LFqCwsPD1uE8FbjNngtyOQ0XOlZvZT5hCO5+DmtCNxiu7kYytaOZ+3KXTUNk7v6opqzHXHQHU+Gtfs3dlp2NOjQMuZOTtcK1K65W3iS3oYANkSvx1Njn97ejUoKA3Lv/Xv5xXmNZEjqfq5W3uFNtH751s2jmQP4xApz9mBU43dbhOBhmHOLWzlFN3wIKFYarnw5JRmpGUR3F1c2smBGCTGbb1YR5EwNxUis4/jfvrbk0FUXw+Cc65XwX0R3Yh8zJ6XHbWAeDR+HmhuuUqTRdvYJoMCAIAsqIRCwV2Yit9b1P8B3CXHwfc8ENVJPWIPcK6nacKmE5Mu9QDFd29dneIRoM6B8UPrX1bRsMjezPO8ZYj3Bm2rHIEnVFyDz8EZQDK022esxSxriF8Gn2fnTtdVaOrv9cKLuKrr2WjZGrkcvktg7HwTDjELd2jkzrhnrqeixl6ViGIJP7+LViPFxUJMX5W33u/qJVK1g4JYi7OQ+pKchGamtwVEkA2vPyaE1NwWv5yqc6k9wWuM9fiNjWRvOtGwAoIxMBCXPBDdsGZkdIxnb0lz9G5hmMauLqHscKMjmaeS8j6ZsxXP+8T/O35+eBxfJU1reVJInPcw5gkczsGLfZruurWnTF/Uom+zZymZyX4nYgCPBBxqc2bc/bYmzlRNFpYr2iifWOtlkcDmyH/X7THDxGGbcImUcg+qufWrUOZ0FFI9klDSydFoJSYR8fhcVTRqNQyCi8fQUQkI8eb+uQbIokSej270Hu7o7HoiW2DuepQzs2ClVg0OPEMplHADKfMEdDh29guLkHqbUezbyXEOS976LIfUJRTViBKedSh2++F9qys0AuRxv59Plt79akkqbLZHX4MkY5+fR+go0Q25uQWuv6lUzWFd5aL3aM20xRUwlHHwy+scdAOV50CoPFyMaxPT+MOXh6sQ9F8x2mvra1V7uBIFOgnrkDqfkhxrRkq137xPUSnDUK5k3sfyebocLNWcWchABc67IRvcOQaYev5q490pqWSnteLt6r1yJT979DW3V9W5fNMRx0IAgCHvMXYCh6gP5BR9MUZWQioq4IsaHSxtHZHnNlDqbMsyjjlyAfFdHn81ST1yG4+3XUvjUbehzbnpOFJmwMMo11O3XZmhZTK1/mHiTENZgFwbNtHU6PiLUlQP+Tybpi8qgEZgZM51TxebLr8gY9X3+paq3mUvl1ZgXOIMDZb9iv78A+cIhbG1Jf28Yf/u850m6X9zpWERyPImwKxntHEFsG72eq0LVyN/chCycHo1Xbl6d1eYIHo+U68sTvdpMCSRSpPbAXpY8v7nPm9fv8u7kP+Yd3rvPhiewhiO7pwTVpFoJa/Xj1VhExAxC+86u3ktmI/uIHCK4+qKf1rxueoFChmfsyUvNDDLcPdDtO1LejLyp6Kv22+/KO0GZu57mYLXbv+bToigCQe4dYZb4tUWvxc/Llo8zPaTa2WGXOvnIg/xhquYpVYxw7Xd9lHOLWhnh4aYmO8+PauUKqypt6Ha9O3AaShOHGl4O+9lc3SlApZCya2nObRVvg3pSHTICvytxpaTfZOhyb0Xz7JobSUrzXbUBQ9O8BpKahnfeOZaFVy7mcVsmlVPsssG4PyLVa3GYk0XzrBpbWVmTOnsgDx2EquG73bUWHEuPdw0iNVR3NGpT93zVQBESjjJmPKS2521bibbm5IIpPnbjNqM3mZtVdloUuIMglwNbh9IqoK0Zw9UVQW8fTr5KreDn+WdrM7Xyc9QXiMHXazKrLJb02m+Vhi3BVuQzLNR3YJw5xa0MEQWDd9ok4u6o5dSiT9raehZzMzRfVhJWYC65jrswZ8HXrmvRcy6hizoRA3JwG1oN8KDGXpCBq3Cg0eHD2bpmtw7EJktlM7cEDqIKCcZ2R2K9zTWYLfz6QhgD86sVpxIR6sutkLiXVzUMT7FOA+/wFSEYjTVcvA6CITERqrEb824rWdw2LrhhjynEUUbNQBMcPeB71jK0IWnf0F99HspifON6ek4WgUKCJeHrK/enNej7L3o+/0yiWhS3q/QQ7wKIrRu4bZtU5g1wC2Bi5mszaHM6VXrbq3F0hSiL7847io/FiXvCsIb+eA/vGIW5tjEarZNmGWNpajZw5ktXrSpFq4koEZy8MV3chiQN7Gj55qxRJgmXT7W/bXxLNmEvTUYdOZEKED6dvl2Ew2i7r1lY0XrmMqaYanw2buqwp2hOfns6jpLqF76+OZZSnEz9YG4eTRsFbB9NpNzwpMByAJiQUTXgEDRfOIUkSyjFTQab4TloTJNGC/uL7CBoXNInbBzWXoHJCM+cFxLoyjCnHnzjelp2NJjwCmcr+HrIHyqGCr2gwNPJszBaUI6CMoWRoRWqqGVSlhO6YG5TEBJ84DhWcoKRpaBcqrlbcpKK1ivWRq0bEv7uDocUhbm2IaDJSffoM3p4qZi+OpPRBPXevlvR4jqBQo07ahlhbiin7fL+v2dJu4sL9CmbE+uHjbn8dWyxVeWBqRx4ygZVJobS0m75zW+qi0UjtkYNoIiJxntC/7mzX0qu4cL+CFYkhTBzbkZ3t7qzitXXxPGzQ88Hx3h+g7JFmYwunCy4NaXkhj/kLMVVV0Z6dhaB2RhGSgLngxoAfIkcqprRkRF0x6lnPIWgGv7WrCJ2EInw6xruHsdR//V22tLZiKClGG/30lADLb3jAxfKrzA+eRbi79cXiUGD5WzKZ3ArJZN9GEASejdmCq8qF9zN2ozfrrX4NgHaznqOFJ4lwH8NE34HvNDh4enCIWxtiaWwk/49vUfXBX4mZ4M/YuFHculxEWVHPBeQVY6YhDxiH4dY+JH3/zPpn7pRhMFlYmWidxAFrYy5JAZkcRVAsY4M9GBvsTvLNEsyW747AaDh3BktDAz4bN/erTWf5wxY+Ss4marQHG+eGdzoWNdqDTfPCuZ3zkNN3RpbVw2Qx8Xbqh/zl9qfsyz8yZNdxmTYNmbMzDefPAn+zJrQ1YKn87iTkiY3VGG4f6BCkY6ZZbV71rOdAqcZw8QOkv/kv23NzQJKeGr+tyWJid/YevDWerA5fZutw+swj643MSslk38ZZ6cSLsdvRtdfxRe7BIbnGyeJzNJta2DR2tV22NnYw/DjErQ1R+vgSuvM5Wm7fov7YEeYti8LDy4nTh7Nobe6+fI4gCKhnPQvGNgy39/f5egajhdO3S5kY6UOQr32a7S0lqcgDxiGoOlaVVyaGUttk4GZWtY0jGx4sbW3UHT+KU1w8Tv1Y0dIbzfz5YDoapZwfrotD3oWVYdmMECZG+vDl2XwKKhqtGfaQIUkSn+bso6iphAS/GC6UXeVy+dBYBWRKFe6z5tBy/x7mhgYUIRNBqfnOtOOVJAn9pQ9BpkA9e6dVRYJM64YmaQeW6jxMmR0PD205WQhKJZrwvpcYs2eOF52mpk3H9nGb0Cj6n4BnKyy6YgRnryEtuzjWM5wVYYu4WXWXG5V3rDp3bXsdZ0svMcN/CqFu9me1c2AbHOLWxgRtWIdr0kxqDx1An36fpRtiMZksnDqU1WN9UrnXaJSxCzFlnXu8rdQbF1MqaNWbWZlkn9tlYtNDxIaKTl3JEiK8CfJ15vj1EsQRuJ3eX+pPnkBsbcVn4+Y+nyNJEh99lUNVXRuvro3Dw6XrG6tMEPje6hg8XdW8dTB9RFSiOFN6kZtVd1k9Zin/OPdHxHpF80XuQfLqu86+Hyzu8+aDxULjpQsIChWKsCmYHtyyavMUe8WUcxFLRRbqxGeQOXtafX7F2JnIg+Mx3NyL2FLb4beNiESmVFr9WsNNaXM5p0sukBgwlRivkdWMQtQVD7p5Q19YHraICPcxfJF7gJq2h1ab91DBCQQE1oyg1XIHQ49D3NoYQRDw2/kimjHhVL33F5zb65i3PIrKskZuXHjQ47nqqRsRVM4Yru7u1Udptogk3yoharQHkUHu1nwJVsNckgLQSdwKgsDKxFAqdK2k5OtsFdqwYG5spP7USVymTkMTGtbn887fK+dGZjXr54QTE+bV41hnjZLX1sfT1Grk3SOZdv3AkK7L4mD+cSaNSmB52CJkMhkvxe3AR+vFX9M/oXYI+ter/Pxxioun8eJ5JIulox2vsR1zaZrVr2VPiK31GK5/jjxgHMpxc/t8Xn55I7WN7X0aKwgCmjkvgCTRevo9jGWlT4UlwSJa2JW1BxelM5siR1ZHLMmkR2yoskrzht7oaM+7Hbkg54OMTzGLg09uLWws4k5NCktC5uGp8bBClA6eFhzi1g6QKVUEvvFjZFot5X/8PeEhWmInBnD/RikP8roXdILaGdX0zVgqczAX3uzxGjcyq6lrMrAy0T5XbQHMpSkI7v7I3Dt3lZkeMwofdw3HrxWPyGSovlJ3/CiSyYTP+o19PudBZROfncljfLg3q/q4Ij8mwI3ti8aSVljLsWvFAw13SKlqreGDjM8Icgng+Zitj7fInZRafjj+RSyShXfSPkLfS/ergeAxfwHm+npaU+8jD4pF0Lhizr9m9evYC5IkYbjyCVjMaOa+hCD07bZwL+8h/7brDn//h0s0tPTtfZC5+qKevpn27I62vE7RI1/cnim5SFlLBc9ErcdJ6WTrcPqFpbYUkIZl5RbAU+PBczFbKGku53DBV4OaS5RE9uYdwV3lxuLQ+dYJ0MFTg0Pc2gkKD0+C3vgJlsZGKt/6EzPnh+Hj58LZozk0NXS/MqKMnovMOxTD9S+QTF3fYERJ4vj1YoJ9XRgf3vPKnq2QTAYsFVmdVm0fIZfJWD4jhIKKJnJLG2wQ3dBjqtXReOEcbjNno/LvW9H3Vr2Jtw6m4+as4pU1scj64ZGcPymIGbF+HLxUSFZxzwmMw02bqY13Uj9EKVPwasILqOWdy0T5OY/i5bhnqWipGpIC8c4JE1F4etFw/hyCTI4iYjrmkvtIxr6tUI40zA9uYy66i2rKhiceLLujoKKRdw5lEOTjQlOrkf/Zk9rnMnPK2EWYTG4IMlD5ew8mdJtT3VrDsaJTTPIdz8RR420dTr95nEw2TOIWYIJvPHODkjhTepGM2oEna96pTqG4qZS1Ecuf+I1w4MAhbu0IzZhw/F58mfbcHOq+/JSl62MAiZMHs7CYu76BCzIZ6lnPIbXWYbx/tMsxKXk6KmvbWJkUYreZpJbyTLCYuxS3ALPHB+DqpOT49b75i0catYc6soi9167r03hJknjvaBb1zQZeWxePi7Z/vkVBEHhheTT+Xk68czijzytvQ41FtPBe+m5q9fW8Mn4nXpquvZ+x3tFsjFxFysN0jj84bdUYBLkc97nzaMtIx1hdjTIyCSxmzEXWTYSxByR9C4YrnyDzCUWV0DfPYnV9G/+zJxV3FxV/t20i/9/OaZTWtPDWofQ+VTURZDKMeg1KVzDeGny3RVshSiK7s/eikinZErXe1uEMCIuuGEHrhuA0vFv6GyJXE+jsz8eZX9Bo6L0757cxWowcKjjBaNcgpvtPHoIIHYx0HOLWznBLnInn8pUdnr/711i4ahwPq5q5crag23MU/mNRRCZhTDmB2FTT6ZgkSRy7Xoyvh4Zp40YNdfgDxlySAkoNcv+ukzFUSjlLpo4mrbD2qeu0Zagop+naFTwWLELp1beVrK9ulnA/X8fWBZFEDNBDrVEpeH19PHqjmbcPZWCxg3quBwqOkV2fx7bojUR4hPU4dsHoOST6T+VE0Wnu1qRaNQ73OXNBJqPx4jlkoyIQXH2eyoYO+utfIOlb0Mx9GUEm73V8U5uR333Z4Y3/xdaJuDmrmBrjx87l0aQX1vFJck7v/v/GRkzVNTjFxGLOv4655L5VXstwc7n8OgWNRWwauwZ3tautwxkQoq4YmU/YsC96qORKXo5/FoPFyMeZ/d99OVt6iXpDA5si1yDro43GwXcLx6fCDvHZuBnnhAnUfLYbP0sNE6YHk3G3gtyM7sthqWdsBZkcw7XPOv09p6SBwoomls8I7bI8lD0gSRLm0lQUQXEI8u47yyycHIRGJefEjadr9bb2wH5kajVeK/uWjJJTUs++84VMjfZl8dTgQV07yNeFF5aNI7e0gQMXex2swOYAACAASURBVE5gHGquVtziXOllFgTPZmZg7zVWBUFg27iNjHEL5ePMLyhtLrdaLAoPT1wmTabxymUkswllRCKW8gzEtpFRQq0vmMsyMOdeQjVhRZ88lwaThT/sTaW+2cBPNifg5/W1v3TuhEBWzwzjUmolR64W9ThPe07HVrTr/PXIPIPQX/p4xFk+6vT1HCw4ToxXFDP8p9g6nAEhmY2I9eXD5rf9NgHOfmwZu5bs+jxOl1zo83mNhiaSi88x0TeesZ7hvZ/g4DuJfaqd7ziCTIb/Kz9E5edPxdt/YnKsC/7Bblz4Kpd6XWuX58icPVFNXoO5+F6nzO7j14txc1Yxe7z/cIXfb8S6UqTWum4tCY9w0iiZPymIm1nV1PTgQx5JtBcW0nLvDp5LlyN37X31p7HVyNuHM/D10PDSyhirrLgkxfszb2Igx68Xc99GFSkKGor4PGc/4zzHsiFyVZ/PU8oUvDJ+J85KJ95J/Ygmo/VW9T3mL0RsaaHl9i0UY5NAknpN3BwpSCYD+ksfILj7o5rcuxVGFCX+cjiDwoomfrAmrsuKKxvmjGFmvD8HLz3gcmplt3O15WQh02jQjIlAM+9lpNZ6DDf3DOr1DCeSJPFZ9n4kYHv0Rru1evWGWFcGkjisfttvMzNwOpNGJXCkMJkHjX1btDhSmIxFtLAuYuUQR+dgJOMQt3aKXKsl8Ec/BQmq/vw/LFoWjkIpJ/lgJiZj1y1IVeOXIbj5dZQGs5gprmom/UEdS6YGo1T0vuVoKx6VAJOHJPQ6dsnU0chlAl89Jau3tQf2IndxxXNp737HRwKjTW/m9Q3j0aqt1z99x+KxhPi58N7RTHTD/OBQp6/n3bSP8dJ48HL8s8j7sD3+TdzVrrya8AItplbeTfsEkxVKDAFox8Wg9POn4fw55J5ByLxHPzXWBMPt/UjNuo7qCIqek3EkSeKz03ncy9OxffFYpkT7Pv57ys2yxxVdBEHgxRXjiA3z5KOvskl/UNvlfG3Z2WijohHkcuSjIlDGL8GUeRZzVa51X+QQcbPqLpl1OawLX4G31j4TdPuCRddRKcVWK7fQ8ZnZEb0JD7U7H2Tspt3c829PaXMF1ytvMz94FqOcfIYpSgcjEYe4tWNUfn4EvvYGxqoqmj//gMWro6nXtXExObdLX5sgV6KZuR2xsQpTxmlO3ChGq5azYNLgtq6HGnNJCjKfMGR9SGrwdFUzMz6Ay6mVNNpJEtRAacvKpC0rE6+Vq5FptL2OP3T5AVnF9Ty3JIrRo6zbYU6pkPP6+nhECf58MB1TNwmM1sZgMfJO6keYRDM/THgR5wGWUgpxDeb5mC0UNhbxRc4Bq5SMEwQBj/kL0BfkYygtQRGRhFhT8ISvfaRhqSnElH4SZcwCFAHRvY5PvlnKmbtlLJs+msVTOzpASZLEpZP5XD1bwKfv3qQ4v0PIKuQy3tgwngBvZ/58IP0Jf7y5oR5TdRXab3TfU0/bhODqg+HC+3bfLKPJ2My+vCOEu4cyNzjJ1uEMClFXDGpnBBfbikQnpZaX4nZQb2jsWBHv5rsrSRL7847gpNSyPGzRMEfpYKThELd2jlNMLL7bdtCach/t/XNMmx1KbkYNWSldb/spQiYiH52A/vZBsnOKmT8pCCeN9Vb4rI2kb0GsKejVkvBNViSGYBFFTt0uG8LIhhZJktDt34vCywv3BQt6HZ9WWMvRq0XMGu/PnAmBQxLTKE8nvrcqhqKqZr44mzck1/gmkiTxSdaXlLdU8lLcdvyd+1aGqjum+E1keehCrlXe4nzZFavE6DZzNoJKRcP5sygjZwCM6NVbyWJGf+F9BCePDp9+L9zMqubLc/lMGzeKLQsiO+b4m7DNuFfB+KlBjApw5asDGY8Frlat4OdbJ6BVK/j9nhTqmvSP52vLzgLo1LxBUKrRzHkRsbEK470j1ny5VmdP7iEMFgPPjts84hOZLLUdncnswVYR7h7KqjFLuVOTwrXK212OSdNlkttQwKoxS3FS9r4Y4OC7zcj+dn5H8FiwCPe586g7fpSxikpGj/Hk8ql8HlZ17S/UJO1AMhtZ43SPJVPtu9e2uTQVJKlf4tbP04mp0aM4d6+MNr11tqCHm5Z7d9E/KMR77Xpkyp63heua9Lx7JJMgX2eeW9r7SttgmBzly7Lpozl7t6Pr2VDyVdFZ7tWksi5iBfE+1inmvyp8KQk+cezLO0JW3eC3ueXOzrhOm0HT9WtIcifk/lGY86+N2GYixpRjiPVlaGbvRFD1LBBySur569FMooLd+f7qGGSC0EnYTpwRzKxFETz36gy8fZ07BG5Bh8D1dFXz860TMJhEfvdlCm36jlbPbdnZyJycUI8O6XQtRXA8iqhZGO8f73M78eEm5WE6d2tSWTFm8aAfxGyNJJoRa0uRedtPU5+lofOJ8ohgT+5Bqlo7//aYRTMH8o/h7zSK2YEzbBShg5GEQ9yOAARBYNSO59GOjaLmo/eZPcEJjZOSkwczMXQh7poUnpw3xDJdlY9rm32vbppLUhG0bsh8w/p13srEUNoNFs7ft16G/HAhiSK1B/ah8g/ALWlWj2PNFpG3DnbUD319w3jUyqH3Tm+aF0FksDsfnsimsrbrBMbBcv9hOkcfJDPNbzKLQ+ZZbV6ZIOOF2GcIcPbj/fTdVulh7zF/AZLBQPO1KygiExEbKhHtVID1hKW+HOPdIyjCp6MIndTj2HJdK3/Yl4avh5YfbUpAqZB3CNtTHcJ2wvRgEueHIwgCWicVa7Yl4OXjzFf7vxa4wb4u/GjjeKrq2vjj/jRMZpH27KwOv20XlVs0idsRNM7oL7yPJHadV2Ar2kztfJFzgCCXAJaEzLd1OINGrK8A0WxTv+23kQkyXojbhkqu4v2MTzFZTI+PXSy/Rk27jg2Rq/rtyXfw3cQuxO3ChQtZvnw569atY926dVy6dOmJMe3t7fzsZz9jyZIlLF++nHPnzj0+9qc//YlVq1axdetWysu/FjuvvPIKxcX22V60vwgKBQGv/Qi5qxt17/2JRYtCaGkycO5Y9hOrSKdulZLcNh5J447+yi4kK3dwshaSaMFcloZ8dEKfW34+ItTflbgxXpy8VYrJbF83wt5ounYFY2UF3us3Ish7/qHec66AgoomXloZg7/X8LT2VMhl/HBtHEqFjD8fSMfQTQLjQClvqeSjzM8JdRvNs+M2WX1bVKPQ8GrCiwiCwNupH/WapNLrfGPCUYeGdSSWjZkKgnzEWRMkUUR/8QNQqlHPeq7HsQ0tBn7/5X2UChk/3zIBF60SSZK4fCqfjLsdwjZpQXin902tUXYpcGNCPXl5VQzZJQ18uvc6Jt3DTpaEbyJoXFDPeg5RV4Qp7aT1XrwVOJB/jCZjC8+N2/JUiCvxUTJZPxcVhhoPtTvPx2ylvKWSAwXHAWg1tXHiwWlivKKI8x7XywwOHHRgF+IW4M033+TQoUMcOnSIOXPmPHH8vffew8XFhVOnTvH222/zy1/+ktbWVlpaWjh8+DCHDx9mx44d7Nq1C4ADBw4wadIkQkPt58l0sCjc3Aj80U+wtLZi2f8eM+aG8CCvltRbX6/OtulNnLtXTsK4ILRJzyA+fIA51zr+Q2tjqSkAQ2u/LAnfZGViKE2tRq6kVVk5sqFDNJmoPXQQdWgYLlOm9jj2dnYNp26XsmhK8LA34PBy0/Dq2jgqdK18crL3wvx9pdnYwtupH6KVa/jB+J0o5f3rrNZXfLRefD/+eR626/gg47NBt+j1mL8AY0U5htJK5KPjMRfcsNuHxq4wZZ5BrM5Hk7QDmdat23HtBjO/35NCS7uZn22ZgI+H9rGwTe9G2D5Co+1a4CbF+bNpXjh1qekAOEV3b0FRjJmGInQShtsH7CZxL7suj6uVN1kcMo8QN/tOzu0rFl0RKDUIbvbX2CfeJ4YFwbO5UHaF1IcZHH9winazno2Rq+3CH+xgZGA34rY3Tpw4wTPPPANAWFgY8fHxXLx4EZlMhiiKmM1m2traUCqV1NfXs3fvXr7//e/bOGrrowkJxf97r6AvLMQv4xRjony4dq6QyrKO4vLn7pWjN1pYmRiKIjIJmV8khpt7kIxtNo78SSwlKSDIUQTHDej8cSEejAlw48SNYrvortUXGi+cx1xXi8/GzT3+UFfXtfHBiSzGBLjxzMLIYYzwa+LGeLF29hiupldxqYe6pX3FLJr5a/onNBmbeTXhBTzUA+us1leiPCPYMnYdGbXZHC74alBzuU5PRKbV0nj+HMrIRKTWOixVQ590Zw3EZh2Gm3uRB8ejGDuz23Fmi8hbh9Ipq2nltfXxhPq7dha207oXto/4psBN3p9BSWEd0PEgOl3bRJtMzdWa7h+UBEFAPXsnyOToL35gc2+zwWLks+x9+Gq9WTlmiU1jsSYW3aNkMvuUAOsiVzLaJZBPsr7kYvk1ZgVOJ9DFfmu1O7A/7OaT/Xd/93esWbOGX//61zQ1PdlruqKigqCgoMf/HxAQQFVVFU5OTrz44ots3bqVM2fOsHPnTv7zP/+Tn/3sZ6hUPSfqjFRcp0zDe+16mq9dYaKmBFd3DacOZdLYqOfUrVLiw70I8XNFEAQ0M59Dam/GcOeQrcN+AnNxCvKAKATVwLbbBUFgZWIoDxv03M4evLdyqBH1euqOHUYbPQ6n2O4FvdFk4U8H0pEJAq+tj0Mht93XdM3MMOLCPNl1MndQbY8lSWJP7iHyGx7w7LjNhLoNT6Lj3OAkZgclcqrkPDer7g54HplajdvM2TTfuQWeEaBQYc6/ZsVIhwZJktBf/ggAzZwXuxWmkiTxcXIO6YV17FweTUKEN5IkceV0wdfCdmHPwvYRjwSup7czX+1LfyxwA5oqaPIdza7T+dzL6/77KnP2RJ34DJaKLEw5Fwfwqq3H0cJkdPo6nh23GdUQ7TIMN5IoItaW2FUy2bdRyhS8FP8sZsmCSqZkdXjvdcDtmbqqEo699xsuHt6NaGd+8qcVu6gRtXv3bgICAjAajfzrv/4rv/nNb/iv//qvPp//7LPP8uyzzwJw69YtBEEgMjKSf/iHf6ClpYUVK1awcmX/upl4e1u3jmhP+Pr2vy+5z0vPkvOwitqDe1j5xt+x51QtR/el09RmYsfymK/n9B3PwweLaE49jV/SClS+9lE9wdz4kOb6Mrwmv4DHAF7/I5Z6u3DoygNO3i5l1dwIq25bDeR96YnSL5OxNDcz9nsv4Dqq+63hN7+4R9nDFn71/URiIm2/bfgPL83gp789zzuHM/ndz+fhrO3/TT457wKXK26wbtxSVo0feALZQN6T172fo/5CHZ9m7yU6MJRI77ABXdt5w2runTmFmJ6Cc/R02gtv47Puhwh2LHqa0y7QUpqG99KXcQ8f0+24z07mcDm1kmeWRLFpcTSSJJF8KIO0O+XMmDuGpWtje/xudfW+vPijmex6+zpf7c9gw7oIzPV1THt5PVceuPDO4Uz+7fVZRIV4djmf5LOKyuJbGG98gd/EmShch79ZQl7tA86VXWZJxBxmRk0c9usPlu6+K8aHpbSYjXiER+Nq5d84a+KLK//k/FNESSTcN8DW4QyYgvTbnNvzLnKFktRrp2morWb59tdQ9aG2uYOBYxfiNiCg44OrUqnYsWMHr7322hNjAgMDKS8vx8ur40eusrKSGTM6lwQxGo38/ve/549//CMfffQR06ZNY+3ataxbt46FCxei0Wj6HFNtbQuiOPRbYr6+rjx8OLAVMc/nXqKlrJzav/6BGZt+zNXrD4lz1eDnquo0pzh+LWReofLYu2hX/p1d+JaMmVcB0HtHD/j1P2Lp1NG8fzyLczeLGR/ubY3wBvW+dIWlpYWy/QdxnjgJvVcA+m7mvpJWyambJaxKCiXUx8mqMQyGH6yJ5d933+M/Pr7FGxvi+/UZyqnL54OUL4n3jmFxwMIBv6bBvCc7o7bzH01v8u8X/8zfT/vJwCwRGne042IoP5HM6B/uQMy4TNW96yhC7VP4iO1NtCW/32FNCpnd7b/d5dRKPk3OZla8P0snB1FT08SV0wWk3SknYWoQk5JGo9O1dHudnt6XFVviOfJZKvv355HgFEhoWASvT/DlXz++za/fvcb/en4Kozy73rmRJz2PuPd/U3H4bbRLf9z/f4BBYBbN/PHWR7ir3FgWtMRuvod9paf3xJSXCUCryr/b3yF7wZOObngj7d8fOnZDsm+fIfXSYbwDwpi99vs01eRz/uDHfPHH/8OcDa/i7DZyO9wNFzKZMKDFRpvbEtra2mhu7vjgSpLE8ePHiYl5MuFg+fLlfPHFFwAUFRWRlpb2ROLZu+++y+bNm/H09KS9vR1BEBAEAbPZjMlkemLOkY5MrSbwRz9FUChQHnufOtGMU7OJsqL6zuO0bqinbsRSnoG5eOBbs9bEXJKC4OqLzH3wT+SJcX54uqo5fs1+K2PUnTiGqNfjs2FTt2PKalr4JDmHcSEerJ/T/SqbLRgb7MGWBRHczX3IqVulfT5P117Le+m7GKX14cW47TYrfO+icubVhBdptxj4S+rHGC0D+z3wmL8As06HoREEtQsmO7YmGK7uRjLpO1rsdlF6CyD9QS0ffZVNbJgnL6zoyES/cqZD2I6fGsTMRYPbDdFolazZnoCLTE9qwGKq9RrcnVX8fOsERFHid1+m0NzWdVcymbs/qikbMBfdwVR4a8AxDITk4nNUtlazPXojWkXfF0VGAhZdMchVyDwcHtahQrRYuH3qc1IvHWZ01CTmb/4RGmc34qbPY+7G12hraeD0p/9NbaX93rNGOjYXt7W1tTz//POsWbOG1atX8+DBA371q18BsG7dOqqrO4o5f+9736OpqYklS5bw6quv8pvf/AYXl6/VfHFxMffv32fDhg1Ah1Vh9+7drFmzhrVr1+Lqar/bL4NB6e1DwGs/QmioI7H2Ip7eTpw+nE1LU+fWtMrYhcg8gzBc+8zmLS4lsxFLeRaKkAlWWUVWyGUsmx5CTmkD+eWNVojQupjq62k4exrXxCTUQV1nW7cbzPzpYDpatYJX18Yh70aM2JKl00YzOcqXPecLyC/r/d9Zb9bzduqHSEi8mvCizUVCkEsAL8Zuo7i5lE+z9w4oWcll4mTk7u40XriAInwa5qJ7SCZ97ycOM+bi+5gLbqCatAa5Z1CXY0qqm/nTgXQCvJ15Y8N45DKBq2cKSLvdIWxnDVLYPkKtUTC5+gwuChNf7c+k9EEdAd7O/HTzBOqaDby5LxWjqWsfoiphGTKfUAxXdiEZhqbm8repaKkiuegsU/0mWq25iD0h6oqQeY9GeApKmtkjRn0bFw+8RWH6NWJnLCNp1QsovtGoxz80mkXbfoZcqeLcl29SmnvPhtE+vdj8Djp69GgOHjzIkSNHOHbsGG+++SajRnX4DA8dOoSfX0cnGCcnJ958801OnTpFcnIyixcv7jRPaGgo77777uP/DwkJYe/evRw/fpw33nhj+F6QDciXe5PsM4PRjcVM1RRhsYicOpSJxfJ1BQFBJkc981mkZh3G1MFljg8WS0UWWIwDLgHWFXMnBOCsUXDiuv09CdcdOYQkivis3dDlcUmS+PBENjX1bfxwXRzuLuphjrBvCILAyyvH4eWm5q1D6TR1s+IGIEoiH2Z+TnXbQ74X/xyjnGzbv/4RE3zjWRO+jFvV9zhdcqHf5wsKBe5z5tKalorkPQ4sRsxF9rEb8gjJ2I7+8sfIPINRTVzV5ZjaRj2/25OC099a5WpUcq6eLSDVysIWwFRdhbyhhsWT1Hh4ajmxL4PSB3VEBrvzgzWxFJY38ZcjmV3awASZHM3cl5H0zRiuf26VeHpClER2Ze9Bq9CweezaIb/ecCNJIhZdiV01b3iaaGnQcfrz3/GwrIDpy55l/KxVXVakcPcOYPH2X+AxKoirRz8g6+Ypm1cGedqwubh1MHiOXyumbHQ8bgsWIV44xrQxIlXlTdy48KDTOEVQLIoxUzHeO4rYUmujaDssCShUyAOs10pWo1KwaEow9/J0lOuGZ4WnLxirq2i8fBH3ufNR+vp2Oebs3XJuZdewcW440d0k2NgLTholr68fT3ObiXe7ESQARwtPkqbLZFPkGsZ5jR3mKHtmWehCpoyawKGCE6TpMvt9vvvc+QC0ZJUgOHvZXUMHw809SK31aOa9hCB/Mq2iTW/i93tSMJpEfr51Ah4uqg5he6uc8VOsK2wB2rKzAPAcP4412yc8FrhlRfVMiR7FtkVjuZv7kM/P5HV5g5f7hKKasAJTziXM5f1/v/rD+dLLFDeVsmXsWlxVw5dUPFxITQ/B1I7MIW6tjq6ikNOf/TeG1mbmbXqdMXE9twnWOLmyYMuPCYmeTOrlI9w6+RkWy8hsJ2+POMTtCCevrIHcskaWTQ/Bb9sOnGJicUr+mHERTqTcLKMwR9dpvDpxGyBhuP6FTeKVJAlzSQqKoDgEhXVLtS2aEoxKKeMrO1q9rT10AEGhwHv1mi6PF1Y08fmZPCZEeLMicWTccEL9XdmxZCwZD+o4erXoieO3q+6RXHyWWYHTmRfcfV1VWyEIAs/FbCHYJYAPMz6j8lt97HtD6eWN84SJNF2+hGLMdCxl6YjtT5YvtAXmyhxMmWdRxi9BPiriieMms8gf96dRVdfGjzaOJ8jHmWtnC78WtoutK2wB2rKzUXh6ohzlh9ZJyZrtE3D31HJ8bzplRfUsmTaapdNGc/pOGSe78XOrJq9DcPfrqH1rMnQ5ZrDo2ms5XJhMvHcMU/zsM0lwsFgedSbzCbNtIE8Zxdl3OLfnjyjVTize8QtGje7bA71coSRx5U5iZyzjQcZ1Lu5/C6Pe/mrSj0Qc4naEc+J6CS5aJXMTAhHkcgJefR2FpxfB13bj66vl3PFsGuu/bj8qc/VBNXEV5sKbmCuyhj1esb4CqaUWuRUtCY9wdVIxd0Ig1zOrqW20vQ9SX1JM880beC5eisLd44njLe0m3jqYjoeLmu+tjkVmB1Us+sq8CYEkxflz6PIDMorqHv+9pKmMXdl7iHAPY2vUeruozNEVKrmKVxNeRClT8nbqh7Sa+ndD8Zi/AEtzE/p2V5BEzA9uD1GkfUcyG9Ff/ADB1Qf1tCcTF0VJ4v3jWWSXNPC9VTGMC/Hg2rlCUm6VDZmwlSSJ9pwstNHjHs+tdVKydntCJ4G7dWEkU8eN4ouz+dzMevJhQ1CoOuwJzQ8x3N5v1Rihw46wO3sfckHGtugNdvu5HSyirghkcmTd+LAd9A9Jksi4doLrxz/C2z+Uxdt/gatn1+Ub88saaWp90solCDLGz1rFjOXPoSsv5PRnv6W53v7rtts7DnE7gil72ML9fB2LpwSjVnUkB8hdXAj88U8RjHriys8gACcPZmI2f+2/VU1YieDi3ZFNPcwFpc0lKQBW9dt+k+XTQwBIvlkyJPP3h9oD+5A5OeO5fMUTx0RJ4q9HM2loMfDa+nhcBlA71pYIgsDOZdEE+jjzl8MZ1DcbaDQ08U7aR7goXXhl/E4UMruoNNgtnhoPfpCwkwZ9A++l78LSj++CU2w8Sl9fmu+kIvMMxGwH1gTj3cNIjVVo5ryEoHzSt73vQgE3MqvZNC+cGbF+HcL2ZhnxkwOHRNgCGCvKsTQ34zSuc2KW1knVSeBWFDfwyuoYxga789ejmeSWNjwxlyIgGmXMAkzpJ7HUFFotxpo2Hb+7+za59flsiFyFp+bJB9GnBYuuGJlXcJd2FQf9w2I2ceOrT0i/doKw2OnM2/Q6aq3zE+Na2k28cziD/7vrDm/8x9luG5iExU5n3uY3MLS3cPqz3/KwvGCoX8JTjUPcjmBOXC9BrZSzcErnDHx1YBD+r/wQeWkuExWF6KpbuHI6//FxQaFCnbQdsa4MU9a5YY3ZUpqCzDsEmfPQeEu93DQkxvlxMaWi2xJDw0Fbbg6taal4rViJ3OnJH7wT14tJLahl26KxhAd239DBnlGr5Ly2Ph6jSeStQym8k/oRbaY2Xk14ccT4FcPdw9gWvZGc+nz25x/t83mCTIb73AW05+YgesZiqcpFbNb1fuIQYdEVY0w5jiJqdpftrM/dLePE9RIWTApixYyQTsJ29pLIIVupfOS3dYp+surANwXuib3pVJc18eNNCfi4a/nDvlQquvDOq2dsRXDyQH/xfaRB+hMlSeJi2TX+7ebvqGytYmfMM8wK7NknOZKRJAnxb213HQwOQ3sL5/f9ieKs24yftYrpy55FrnhygSK1QMf/fu8Gt7NrWJEYgqebmj/sS+O9Y5m06Z/8/I4KjmTx9l+g1jpzfu8fKcoa3hJ4TxMOcTtC0TW2cyOzmnkTA7tc9XOZMBGfjZtxSTnLOB89mfcryU3/ertPETYFeVAshtsHEPXDUyBbMrRiqcobslXbR6yYEYrRLHLmTtmQXqc7JElCt38vcncPPBYufuJ4dnE9+y8WMj1mFAsnj+ztwUAfZ3Yuj6JYeZXi5lJ2xm5jtGugrcPqF0mB01g4eg7ny65wpeJGn89znz0HQaGgrazD0mAq6Pu51kQSLegvvo+gcUGTuO2J4/fyHrLrVC4TIrzZvjiSGxcekHKzjLghFrYA7dnZKLy9u02m1DqpWLMtAVcPDSf2ptNQ3cLPt05ALpfxuy9TaGzp7K8VVFo0s3ci1pVhTDk+4Ljq9Q388f5f+SL3ABEeY/hf03/BjIApT60dAUBqrUMytCBz+G0HRVNdNac//S11VSUkrXqR2BnLnvjctBvMfHgim9/vScVFq+SXO6eyZX4k//3TeayeGcrV9Cr+6f0bZH7D0vUIV89RLNr2c3wCxnDjxCekXz3uqKQwABzidoSSfKMUQeioPdodnstX4jojiYDrn+PnKedCci51DztWQwRBQJ30LBjbMd6yvoetK8xl6SCJQy5uA32cmTTWhzN3ytAbhz/7tDUtBX1+Ht6r1yJTd94ebmwx8Pbhdj55+wAAIABJREFUDPw8nXhh+bin4mba5pqHwrcCU1kkNIzMwvDrI1YS4xXFFzkHyW940PsJgNzVFZep02i+cw+8w21mTTClJSPqilHPeg5B03nFvKCikXcOZRDm78qra+O4dbGY+zc6hO2cIRa2kijSlpvd5artN3FyVrF2+4THAtfYqOenmxNoaTfx+z2pT3yHFaGTUIRPx3j3MJb6iv7FJEncqLzDv978LYWNRWyL3sAbE773VFsRHmHRFQE4Vm4HQXVJLqc/+y0mo/5xpYNvk1NSz6/ev8ml1ApWJIbwTy9MI9S/o86+UiFj49wI/vH5KSgVcv7r8/vsOpmDwdjZEqXWOjN30+uExU4n4/pXXD/+MRbz09eIaihxiNsRSFOrkYupFSTF++Pl1n1hfEEQ8HvhJbRhYUSl70EpF0g+mInpb18kuVcQyrhFmLLOP86iHUrMxfcRNK7IfMOH/ForE0Np1Zu5eL9/N7/BIokitQf2ofT1xX3O3E7HLKLIO4cz0BvMvL4hHq165PveMmqzOZB/jAk+8QSJE/nrsSxqGtp7P9HOkMvkvBy3A2+tJ++mfUxte33vJwEe8xcitrdjNPoi1pViqRve3QKxsRrD7QMdgm/MtE7HaurbeHNvKu4uKn6yKYF7V0u4f6OUuElDL2wBDGWliK2tT/htu+KbAvf4nnRURguvrY+jtKaFtw5mYBHFTuPVs54DpbrDniCJ3czamWZjC++mfczHWV8Q4OzPP07/BXOCkp6KB8y+IOqKQZAh8+p+QcRB9xSmX+fC/j+jdXZj8Y7/B5/Azl0kjSYLn53O498/vYdMJvAPz05hy/xIlIonZVZEoDu/fmkai6cGc/ZuOb/64OYTDYjkckVHrdzZqynJucP5vX9C3zby2hDbCoe4HYGcvlOG2SyyYkZIr2NlKhWBb/wErUogTneJxro2zn+V+3ibQz1lPYLGpaMD0BBufUiiiKU0DXlwfLetQK1JRJA740I8SL5VitnSt5ufNWi+dRNDaSne6zYgKDqL14OXHpBd0sDzy6IJ9h0ZntSeqGqt4f30Twl08eeFuG28vn48AvDWgXRM5uFNVLQGTkonfjj+RSyShXfSPsRg6d2zrYmIRBU8mubsMiSEYV29lSQJ/aUPQa5APXtnJ5HW3Gbkd1+mIEnwsy0TyLpd/rWwXTr0whY6LAkA2nHj+jT+2wLXW6Hg+WVRpBXW8klyTqffJ5nWDU3SDsTqfEwZZ3ud+35NGv9y47/JqM1mQ+Qqfj75h/g6eQ/shY1QLLpiZB6BVi/B+LQjSeLf6tB+yqjRY1m07ee4uHf+7BRWNPHrD25x6nYpCycH8c8vTScy2L3HedVKOTsWR/H/bp+ExSLxb7vusPd8AaZvJH8LgkDs9KXMXP0S9dWlnP7stzTV9a904XcVh7gdYbQbzJy9U8bkKF8CvJ9MVOoKpacngW/8GA9dAVEUk59ZQ8a9SgAEtTOq6ZuxVOdhLhi6G7P4sBDJ0DLkloRvsjIxlPpmA9cyqoblepLZTO3B/aiCgnGdntjpWEq+jmPXipk7IYBZ4wOGJZ6hpM3UxjtpH6KQyXn1/2/vvuOjqvLGj3+mZSa9V1KoCSGFkkCo0kKRjogRBBQRxfKsuuuztrW39ecjdlfXiiKCgCC9IyAtECAdQkmD9F4mM5lyf3/EjboIKaTMhPP+i9ecO/eeyWHu/c4p3xNxD2qFDZ4uttw3rR/ZhdV8v/dC0yexQN72XiwOm09eTQHfpK3B3ESvoEwmw2XMWOqvXMFk1wPDhaMdNj/OcO4gprx01DFxf1igqTeYeH9dEmXVev7ntgiykws5fSyXfgN9OyywBdCeS0fl6YXKrflB5B8C3HXJ9HGzZ9rwIA4m5l+VU1nZZzgK/3D0J9Zdc1MarUHL16mr+SzlW1w1Ljw5+FFiA0cj/5Ndo7o6c0k2ck8xJaEljIZ6jmz5mvT43fSMGM4ts5Zho7H7rdxk5seDl3j92wTqjSb+ducAFkwMacxe1ByhQa68vGQIIyN82XYsm5dXnCCn8I89tAHBAxkz9xGMhnr2fL+cwpxzbfYZu6qb7xtu5Q6cyUOrN7Y44b9tz154330v3c7vw1tTx+G9FyjKb/gCqUJGIffsgf7YGiRD++SHNeYkgkyOMiCiXc7/Z8J6uBHo7cD2YzmYOyDgqDx8CENxER633f6H3umSyjo+35JGoJcD82OD270e7c1kNvFl6ipK68pZGrEId9vfAqsBfTy4NSaQn09f6bAfFW0tzL0vs3pP4UxxMtuz9jZ5vNPQYcjUGuqKFUg1pZgL2z+wN9eWoz+2GoVvX1R9R//2ulni35tSuZRXxdJpoZReKmsIbAf4csvEPh0W2EpmM3UZ55rda/t7jQGuk4ata5OJCXJjWJgPGw5lcjg5v/E4mUyGZtQ9IEnoDq246kdFWuk5Xot/h4SiM0zpHsv/Rj2Cn4N1zgm/UWZtBZK2Qmze0AK62ir2r/2Ay+cT6X/LLKJj45ArfgtaLxfV8OqKk2w5ksWwMG9evjeGsO5urbqWrVrJ4imhDXPNtQZeWXGSzYcz/zAdx8OvBxPm/RVbBxcO/PgvLiUfveHP2JWJ4NaKGIxmdp3IITTItVXpo5yGDcdt8hRC0jagUZjZtTENvc6ATCZHM/wuJG0F9aebnw6pJYw5iSi8eyNTN6+3uS3IZDKmDA2ioEzL6Yz2TYpt1usp3fwTml69sY/8rXfaaDLzr42pmCWJB2eHY6Nq/i96S7Xx4jbSyzKIC5lFb5ceV5XfNronwQEurNhx1qK2Qm6J8QG3EOMTxbbM3ZwuSr7usXKNLU7DhlN7LhOzWdnu2/FKkoT+8LdgMqK5ZXFjwCpJEt/vPc/p8yXEje+NsbCW00d/DWwndVxgC6DPycZcV9es+bZ/xs7ehhnzGwLcbetSmBzhQ2iQK19vP0tq5m8rzOWOHqiH3I4pNwnjhYaHvc6o5/uz6/ko8Qs0CjVPRD3M1J4TUcit/7vXWuZf11SIbXebp6Ikj93fL6eyJJ8RM5bQN3pc4/fHbJbYejSLl74+QUVNw+jIkmn9sNPc+BqK/r09eOW+GKJCPNlwKJPXv00gv/S3e6i9szvj73wM74BgTuz+nsSDPzV7zvnNRgS3VuRoagEVNfVMuYFtWj1uux2XsBD6ZW2ntkrH3i0Nc9kU3r1R9hlBfdIOzJVtO6fHXFuOuTSnXXYla0p0iBdeLrZsO5bdrsPFFfv2YqqowGPO3D8EEWv2XSAzv4p7p4Ti7Wp3nTNYh6P5J9mXe4jR/iOumRNUIZezbGYYGpWCjzckd0rGihslk8mYF3IbPZwC+SZtNZerr78w0WXMWCSjEZ3RF+OleCRz+31mY+ZJjFmnsImajdzZu/H1nfG57E24zIRof5y1pk4LbOH6+W2b6z89uA5OGnasT2XO4EB83e34aEPyH4ZtVf3GI/fqhf7IKjIKU3gj/h0O58UzPuAWnhr8KEFOYgFVw4JhGQqxmKxJ+Vnp7F39DmaTkXFxf8G/d2RjWWGZlje+S2D9gUsM6OPBy/fFMDD4z9PctZaDrYplM8NZNjOMovI6XvzqBLtO5DaOPtqobRk1+wF6RY7g7Mm9HNn8FUZD5+V0t1QiuLUSZrPE9uM5BPk40q976zdAkMnl+CxdhqeTnD6Vp8m+UMqZ4w37uatj5oJCie7oqraqNtD+u5Jdj1wuY/LQQDLzqzmb3bwV8C1l0tZStn0rduER2AWHNL4en174a7ARQFTIn2/JaE0uVWax+ux6Qlx7M6f3tOse6+Kg5oEZYRSUafnmvxYDWQuVQsXSiEXYqez4JOlrqutrrnms2j8ATe8+1GZXYa6rxnQlrV3qJOlq0B/+FrlHEDaRkxpfj08v5If9F4gO8aSHSsmpozmE9u+cwBZAe/YsNj6+KF1uLMWWnYMNM38NcPf+lMZdI3pgq1by7tpEyqoaplDJ5HIUoxaxxVHG+ynfAPDYoGXc1mcaKoV17fzXXswlWcidvZHZ2HZ2VSzahcRDHNrwKQ7OHkyY/zfcvBsWbZslib0Jl3nhy3jyS7TcP70fD80Kx8mu/RbnDQn15pX7YggNcmX13vO8teo0xb9mopHLFUSNv4MBo2dz+UIS+354n7qayibOeHMRwa2VOJVRTGGZlqlDg274YaWws8Pvfx4loCYDH2MBxw9kkpdTgdzOBfWgGZhyEhsD0rZgyklE5uDeafuZjwj3wdnehm3H2ifdWfnOHZi1tXjcdnvja/mltXy1/Sy9ujkxd2yvdrluRyrXVfDv5G9w0biwJHxBs4Z4Q7u7MWtkD46lFnKgg1OytRVntRP3RyyixlDDZ8nfYrxOj6zL2HEYyyup19q029QE3bE1SLoaNLfci+zXNjiXU87nW9Lo082Jga72nD6aS2h/H0ZP7pzAVjIaqTufgW0rpyT8t98HuAe3nmPRqJ7oDSbe+SERrc5AdlUub51fyyEXW4ZUafm73/g/nS5zMzOVZIvNG67DbDZz+ucfSdi7Fp/uoYyLexQ7x4ZOpNJKHW+vPsN3uzMIDnThlftiGBrm0yHfLRcHNY/eHsniW/uSXVjN81/Gc+DMFSRJQiaTERI1lpEz76OqtIA93y+notg677PtQQS3VkCSJLYey8bb1ZZBbTQEYuPtg98DDxGSuw87dOz+KR1tbT2q8InInH3QHV11w9tbAkgmA8YraSgD+3daPkmVUsHEwQGkZpWTVVDVpuc2VlZSvmcXDtFD0AQ2TBfRG0x8vDEFlULOgzPDUSqs+2tWb6rn0+QVGEwGlkXeg72q+dMrpg7vTkRPd1btyWjzv31HCXIKYEHfuVyszOSHjI3X7IV2GBSNwtGRuipHjFmnkIz6Pz2utYyXUzFmHMKm/5TGRPx5JbV8sD4ZT2cNo7q5cubYfwLb4E77vumys5D0OuxasZjsWuwcGrbqdXBUE7/7AgtG9KSgvIZXd63i/05+RJ1Rx0MR9zDH6IJ0+HukeuvLtdxezLpqpJpSsXnDNRjq9Rze9DkZp36mz8DRjJy5FJWNBkmS+CUpn+e/PM6lvCoWTQ7h8bn9cXVUN33SNiSTyRjV34+Xlwyhh48jK3ac4711SZRXN9xfuvWKYFzco0hmM3vXvEN+ZvuMGlkb637q3iTSssvJLqjm1qFByOVt98CyDwvHd+7thGXvQKfVs2dTOpJMgWbYfKTKQgwpu274Gqb8c2DUd8qUhN8bM7Abtmol247ltOl5y7ZuRjIY8Jh1W+NrK3edI6+4lvun97vuJhvWQJIkVqav5XJ1HveEzcPX3rvpN/2OXCZj6fR+ONnb8PGGFGp11rnLTrTPQCYGjeVwXjwHrhz502PkKhVOI0ZRd7kMU60OY3bbjX5IBj26Q18hc/bBZtAMACpq9LzzQyJKhYwJPTxIjr/c6YEtQN25X/PbhrRdcAtg76Bmxvz+ODiqST6USWDoeSodUnE2dufZIY8T5tkPzejFSLXl6OPXtum1rZlYTHZt2upy9q15l/zMVAaNu51BY+cgl8uprNHzwfpkvtyWToCXIy8tGcKYAd069Xvl4WzLE/MGMi+2D+nZ5Tz/xXGOpRUgSRJu3gHEzv8bDi6eHNr4KefPHOy0eloKEdxagW1Hs3F2sGFYWNunsXEZH0u3IRGEFPzClewKTv6ShTIwEkXgAPSnNmHWVtzQ+Y05iaCwQeHXNkOUrWWrVjJuUDcSzhZRWKZtk3MaSoqpOLAf55GjsPFpaJtDiXkcTi5g2vDuhPe0/iTxO7P3kVCUyIxek4nw6NeqczjYqnhwZjjl1Xq+3JpulfNvAab3nESERyjrz2/mbNn5Pz3GZfRYALTl6sbV+21Bf/JHpOqShuwIShvq9EbeW5tEjdbA1D5epCfk0Tey8wNbAG16Ojbd/FE6tjyjS1Ns7VW4jq5Dq6jBLa0P/esmkXcqmB1HG9LOKbx6oQqfgCFtH8aCjDa/vjX6z+6Touf2j8qLctmzajk1lSWMmvUAfQY07Ch58mwRz30RT0pmGXeO683f5w/Ey8Uy5irLZTImRAfw4uLBeLvZ8e9Nafzrp1SqtfXYObow7o5H8e0Rxql96zi1fz1m882bSUEEtxYuM7+K9OxyJg0O/NNt/G6UTCbD666F9PSW4VtzkYQjOeRcKkMzbB6YjOiPt74HRJKkhhRg3UItYlec2OgAlEo524+3Te9t6aaNyGQy3KbNBCCnsJqVuzMIDXJl5kjrn/OXWJzK5ks7ifYewITAMTd0rl7dnLljbG9Ony9hZ3xu21Swg8llcu7uNw9vO0++SFlJsfbqjQNUnp7YhUVQVwyG7EQk3bUXoTWXqegShpRdqELHovQNaUgv91MKuUU1TA325EJiAX0jfRhza+cHtmaDgbqL57Fr415bgGJtKe+e+oTNV7ZiO7wMZ2d75OfUjOztwdaj2ew/fQUA9eA5yBw90B/4EskoVpGbS7KROXp2aBpGS3flYjJ7V7+HTC5nfNzj+PboR02dgX9vSuXjjSl4OGt4cfFgJg4JRG6B2zP7utvz9IJBzBndk9MZxTz3RTxnzpegslEzYsZ9BA8aw/nTB/jlp88w1LdP7npLJ4JbC7ftWDZ2aiWjB/i12zXkKhV+Dz5CWH06DsZK9mxKQytzxiZyMsbzhzEV/HkvVVOkygKkqqJOn5LwH872NoyM9OVISn7jfKXW0l+5QtXRI7iMi0Xl5oZWZ+TjjSnYa5Q8MCOsTaePdIYrNfmsSPueIMcA7uo7t02Cpthof6JCPFn380Uycm9sRKCz2Co1PBBxDzJkfJL0FXXGqx8cLmPGYtLq0ZWZMWSevKHrSSYjugNfIrNzRR1zB5Ik8e3Oc6RcKmNST3dy04rpG2EZgS2ALvMSUn19my0mg4YfyQcvH+X1+OXk1RawKDSO+wffxez5A7FzsMGcXUV/P2dW7jrHmfMlyFRqNKPuwVxZQP2pTW1WD2tlKskWvba/kiSJcwn7+eWnz3F29yF2/t9w8fQj6WIpz31xnBNni5g1qgfPLIzCz8Oyfwwo5HKmDuvOc3dH42Rnw/vrk/hiaxq6ejMDx9xG1Pi5FGSls2/Ne2ir2ydTkCUTwa0Fyy+t5dS5YsZF+WOrvvEE0dejdHYm4JFHiCw6gKlOz84NqSgipyCzc0F35DukVgxvGHPONJzbQoJbgMlDAjGbYfeJG+s9LNm4HrlajdutU5Ekia+2p1NSoWPZzHCc7Du/l/pG1NTX8mnSCjQKNfdHLsKmjdIpyWQy7p0SiqeLhk9+SqGq1jp71Tzt3FkSvoCiuhK+Tl111Ra99pH9Ubq5oy2zwXiDWRPqE7diLr+MZuQiZDa2bD6SxaGkfMYEuFJysbwhsJ1iGYEt/DrfVib7Q0q8G1Guq+CjxC9Yk7GBns7deXbIX4nxjUImk2HvqGbmvP7YOdhgV1xHL1c7PtmUQmZ+FUr/cJTBI6lP3I6ptG3n2VsTqV6LVFUo5tsCZrOJhL0/cObABvz7RDL2jr+A0o6vt5/l3bWJOGhU/GNRNDNG9LCqRcCB3o48f080U4cFcSSlgOe/PE5aVhm9+49i1OwHqKksYfeqtykrvLm+B9bTgjehHcdzUCnlxEb7d8j1NIFB9FwUR9+CgxTl13DsUB7qoXGYS7IwZBxq8fmMOUnIXf2RO1jO3FNPF1uGhHqx/8yVVi9uqrt0kdrTp3CddCsKR0f2nLxMwrli5oxp2JnLmpnMJj5P+ZbK+iqWRtyNi9q5Tc9vq1by0OwIanVGPt2UitlsnfNvQ9x6M7fPDFJKz7L50s4/lMnkcpxvGU19WT36S2cx15Rd4yzXZyq/Qv2pzSh7xaAMGsAvSflsPJRJjJcjtblVhER4W1RgCw2bN6j9A1A4ONzQeSRJ4nh+Aq/FL+diRSZxwbN5ZMB9uGr++P2yd2xYZGbvYINntRFPm4YcuEXlWjRD70SmsUd34Esks+mG6mOtTCUNAc3N3nNbr6/j0IZPuZh0mNDBsQyftpiL+bW88GU8hxLzuDUmkOfvGUyQj2NnV7VVlAo5c0b34pkFUaiUCv5v9Rm+25WBW7dgxt/5OHKFkn1r3ufyhaTOrmqHEcGthSqr0nEkpYBRkX7tmij6vzlGDyF03AD8K9JITrhCtqEXCp9g6uPXIembv5WqVK/FlJ+BMjCy6YM72K1Dg9DXm9h36kqr3l/y4zoUjo64TpjIxSuV/LD/AgN6ezB5SGAb17TjrT2/ifMVl5gfMocezu3zeQK8HFgwIZj07HI2Hc5sl2t0hFHdhjHSL4Zd2fs5UXD6D2XOo24BuRxtERgvHW/xuSWzGd3Br0ClRj38LlIyS1mx4yz9XewwF2kbAttbQywqsDUb6tFdvHDDUxKq62v4LOVbvklfg6+9D08PeZxb/Idd87M6/C7ADayXUBvNvPNDIjVmG9QjFjT8OE++8cwv1qgxU4L7zRvc1laWsnf1uxTmZjB4wjz6Dp3Kmn0X+X+rTiOXyXhqwSDmju3dLmtaOlqvbs68uHgwsVH+7D11mRe/jKdEb8+EeX/F2cOXw5u+4OzJvVa7qLclrL81u6hdJ3KRJJg0pOO3S3SfPpOB/iacdMX8vDUdXdgdSPoa9Akbm30O4+VUkEydsuVuUwK8HIjs5c6ek7noDS3r0alNS6XubDpuU6ZRa1bwr59ScHVUs2RaqEUFGq1x8PJRDl05SmzgaGJ8o9r1WqP6+zEiwofNh7NIybx6YZY1kMlkzA2eSW+XHnx3di3ZVb9NdVE6u+AYFY22TE79uT9PHXY9hrS9mAsvoBk2n8tVMj7ekEIfjQ02FXpCwhsCW0ub1627eBHJaLyhxWRnilN49fjbpJakM6vXFB4ftAwvO48m3/dbgKumtySnrlLP++uTMPsPQhk0EP3JDZirilpdL2tlKslCZu+K3K5tR2CsRWl+Fru/X05dTQWjb3sImUcYL33dsJ3tmEHdeOneIfTxt+7Rtv+mVimYPyGY/503EKPJzBsrE9hyophRtz1MQHB/Eg/+xMk9azCbuvZohghuLVBNnYEDZ/KI6eeFRyekIJHJ5fjddx+DOAv1enbvKUHWZyyG1L2YyprX22nMSQS1PQrv3u1c29aZMjSIaq2BX5Lym/0eSZIo+XEdSjd3HEeP5bPNaVTV1vPQ7HDsNda9zWdG+UXWnv+JMPe+zOx1a4dcc8HEELp52vPvTWmNW6laG6VcyX3hC3G0ceTTpBVU6H/bAtN5zDgkg5najFxMFc3fOchcXYI+fh0K/3CqvQfx7tpE/JDjqDUSHO7NmCmWF9hCw5QEZDJsWzHfVmuo4+vU1XyW/A2uameeHPwoE4LGIJc1/xHl4Khmxrz+2NvbECpXUHilis+3pKMavhDkCnQHv7opeqx+z1yafdP22uacO8X+Hz5AqbJhzB2PcThLyWvfJKCrN/G3uAEsnBiC2qbpnRatVWiQKy8viWFkhC/bjmXz+neJdIueQ+iQiVxKPsLBDZ9Qr2ubtJiWSAS3FmjfqcvoDSZujem8m5Jco6H3Iw8QXnGCsnI9x8sjwcYW/ZGVTT4gJMmMKTcJpX944xahlqaPvzO9uzmz43gORlPzFsvVnEpAn5WJ+4xZbD9xhZTMMubFBtPdp+3zeXakkrpSPk/5Fk9bDxaHzWtRQHEj1CoFD82OaExt1dx2sDSONg4si7yHOpOOfyd/g8HUMJfbNjgEGx/vhqkJF5o3NUGSJHS/rGj495AFvLM2Cac6E+71ZoLDvBlroYEtNCwmUwd1R2HX/B3sANJLM3gtfjkJRWe4tXss/xv9P/g5tC6nt4OTmpnzB+DgYEOYQsnZjGJ+OFaCemgcprx0DOdunuT2kkGPuSL/pptvK0kSacd3cXTr17h6BxA2YRnvb8lly5EshoV588qSIYT1cOvsanYIW7WSxVNC+cvtkVRrDbz6zSmyZWFET5hH8eUL7F39DjWV1jly1hQR3FoYfb2JPScv07+XO/5eN7Yo40apPDyJvO92ulckkXGukmzP2Zjy0jE2kd7IXJyFVFdlUVkS/ptMJmPK0CBKq3ScONv0cKVkMlG6YT02Pr7k+fVl4y+ZDO3nzZh2TNHWEXRGHZ8mrcAsSSyLvBtbZceOFPi42bF4SigXr1Sx7ueLHXrtttTNwZe7+91JdlUuq86tb9z73XlsLIZaqD11qFm9hsYLRzHlJqOMnsNHu/KgVIu3iYbAdqrlBrZmvZ66Sxexa8F8W51Rz/fnfuTDxM/RKNQ8EfUw03pORHGDP4gbA1xHNf0USo4mXGZ/VQ8Uvn3RH1uNufbmSItkLssFSULh0b2zq9JhTCYj8btWkXx4C4EhUegCp/PGmjQqqvU8clsES6b1w87KR9laY0BvD165L4ZBwZ5sOJTJqlNKwifci662mj2r3qYkz3rXPlyLCG4tzKGkPGrqDEwd1r2zqwKAXXAIMZMjcNXmcyRZQaV9wwNCMl47T6wxJxFkMhQBER1Y05aL7O1ON097th3LxtxE4FF19Aj1BfloJs/g0y1n8XGzY9Fky1rQ01JmycyKtDXk1xayJPwuvOw8O6Ueg/t6MT7Kn10nckk4Z73zIgd4hjOtx0TiC06xN7ehh9Bp2AhkSiW1mWWYi6//ADHXVaE/sgq5Vy9WZvpSmVOJnyS3+MAWoO7CeTCZsOvbvPm2FyoyeSP+HQ5fOc64gFE8OfhRgpzabn1BQ4DbHydHNaFyJVv2XyTDf0bDxjSHV7bZdSyZqSQLuHm23dXX1XJg/cdkpR6n+4BY9peGsf5gNv17efDyr4HdzczBVsWDs8JZNjOMovI63t1eiiZ8HkobDfvXfkDO2YTOrmKbEsGtBTGazOyMzyHY35ne/pazAMBtzBiG9TahMOj4uXAw+uoq6hO3X/N4Y24Scq9eyDWWnVZFLpMxJSaIK8W1JF289tCM2WCgdNNG1EHd+TpThc5g4qHZEWisZLciAAAYRUlEQVRs2jf3cHvbmrmbpJJU5vSZTqhbcKfWJW5cb3r4OvHltnQKy613Htjk7uMZ6BXJxgvbSClJR2Fnh+OQIdSVgj71+kPi+iPfIRl0HLSdQFZ6Cf7ICQ7zsvjAFn7Nb6tQYNv7+v+PDCYDP17YwrunPkECHh34AHP6TG+zXMq/5+Ck+S3AlSn4encRVb0nY8xKwHDpRJtfz9KYS7KR2Tohs3ft7Kq0u+ryIvaufofS/Ewc+k7lq9NO5JVqWTq9Hw/NDu/QjEOWbkioN6/cF0NokCtrj5aSbhOLk0cAR7etIPXYzi4zL10EtxYkPr2Q0io9U4ZZ3i/twPlxRKkzqdHLOaa/Ff3prZirS646zqytwFycadFTEn5vcKgX7k4ath3LvuYxlQf2YywrJa3XcDKuVHH35L50s/Dda5qSUHiGHVl7Ge47mDH+Izq7OigVch6cFYZcJuNfG1Kob2EWC0shk8lYGHoH3Rx8+Sr1ewpqC3EZPxHMUHXs6DU3QzFmn8F48ThXfG7hl9N1+COnTz8vxk7ta/GBLTQsJtN074Fco7nmMTlVl/nnyffZm3OQEX5DeGbIY/Rx7dmu9XJw0jDrrv44OqnpI8l4P8Edk0sA+sMrW5Ta0BqZSrKRewRZ9ehScxRfvsie75ej09aQ7zKJ9UkqggNceOW+GIaF+XT5z98aLg5qHr09ksW39iWz2MBPhf2x9Qkj5chWju9YicnYuhzwlkQEtxbCLElsO5aDv6c9ET0tZ9OD/5AplUQ8uIg+unPkaN05WxOM/tjqq44z5SYDlrUr2fUoFXImxwRy4XLln24Ja9bVUbZ1M6bAXqzNVjBmgB/Dwlq32MVS5FRd5tv0tfR07s4dIbMt5ubv4WzL0ulh5BTVsGpPRmdXp9XUChseiLwblVzJJ0lfY/bzQu3nhfaKHuOVtKuOl+rr0P3yDXp7H75L6YY/cnr382TcNOsIbI3aOnRZmddMAWYym9iauZu3Ej6kzlDHQ/2XMK/vHDTKawfCbcnBScOs+QNwdFATUC/jy8KhmHXVf3r/6iokowFz2RUUXTxTQlZaPD+v+xCzXMNh/SjSS2xZNDmEx+f2x9VR3dnVs2gymYxR/f14+d4hdPdxYWNOb6qdBpGdfoID6z9GX2fdP/5EcGshEi+UkFdSy5ShlvtLW+HgwIil0/Cou8Kpumjyz2Zd9bA25iQis3dD7tbx+Xlba2SkLw62qj/tvS3fvQtTdTXrFKEE+TgxL7ZPJ9Sw7VTqq/k0eQUOKnuWRixEJbesqRWRvdyZOiyIg4n5HE5ufpo2S+OmcWVpxCLKdBV8kfIdTrGTMeqg5vDOq47Vx6/FXFvOirxR+KGkZ19Pxk8LtYrAFqAqLQ3M5j/dvCG/tpD/S/iQbZm7ifLqzz9i/kqYe9tszdsSjs4aZi9oyKJgU2vPQeMwDOcONeTj7oLqi7JBMnXZ+baSJJF8uKGXUafyYmfFUDy9fHhpyRDGDOhmsc9QS+ThYssT8wYyLzaYExXdOSsbQnF+Fnu+f5vqcutdAyGCWwsgSRLbjmbj4axhcKhXZ1fnujT+/oyb2he1UcvB6nFUHlyDZDYCIJmMGC+noAyItKqbi1qlYEK0P0kXS8ktqml83VRdTdnOHVx260GBnRcPzg5HpbTM1GbNYTAb+Sz5G2oNWh6IvBsnG8ucEz1rVA/6Brrw7c5zXC6uafoNFqqXS3fuDLmNs+Xn2edRidxGSfXpNCRjfeMxxvxzGNL2sa12PHYmB4KC3Zkww3oCW4DK5JSG+ba9fstpbZbM7Mk5wD9PvEeZroL7whdyT9g87FQtSxPWlhydNcxZOBA7exuyKvuQZeqB7tBXSIZrL461VvqCSwBdMlOCyWjg2LYVpB3fSaGsO79oY5gzrh9/nz8Ir07IC98VyGUyJkQH8OLiwSjc+3JcP5yqqhp2r3qbotzznV29VhHBrQXIyK3gYl4Vk2MCUcgtv0nchwxiZKgMnUzDgUt9qE/dD4CpIAMMOquZkvB746L8Udso2H78t97bsu1bMevq2GEfwZKpoVZ945QkidVnfySzKptF/eIIcOzW2VW6JoVczgMzwrBVK/l4Qwp1emNnV6nVhvsNZqz/SPYVHKUmPAhdmQld+lEAJGM9dT9/ycm6KMr1Afj3cmPyrDCrCmwBKpNTse3ZC7m6YRi4WFvKu6c+YcOFrfRzC+HZmL8y0MsyMqc4OmuYu2gQGlsVBytvoaRcQn/yx86uVpvTF2SCjR0yx6Z3d7MmOm01e9a8T865U2QY+1HuMpLnF8cwaUig1X1vLJGvuz1PLxjEuFGDOVp/C5V6FfvXfURmasu3EO9sFhFJZWZmEhcXx6RJk4iLiyMrK+uqY0wmEy+99BKxsbFMmDCBtWvXNpatW7eOKVOmMGvWLFJTfxtmevrppzl58vo5WS3BtmM5ONmpGBnh29lVabbec24lwr6IQkUA8dvTMNdVNaQAUyhRdOvX2dVrMXuNirEDuhGfVkRxRR36klLK9u4hxbEn0aMirT6NzP7cQxwrOMmt3WMZ5BXZ2dVpkrODmmUzwygs17Jix1mrXsE7u/dU+rr2YX23KpCgal/D1IS6kxtJLfLkbF0k3kEuTJ0TbnUPaJO2ltrMTGz7hiJJEoeuHOX1E+9wpaaARaFx3B+xyOJGCBydNcTdE4VSrWJn1RTyTydgKrrU2dVqU/UFl1B0scVklaX5bPvmLcoKL5NkGkL/4ZN4dlG01S/utTQKuZxpw7vzxN2jyXaaTKnJnfid33HqwCYkyXo22rGI4PaFF15g/vz57Ny5k/nz5/P8889fdczmzZvJyclh165drFmzhg8++IDLly8D8PHHH7Nu3TqeffZZPv30UwCOHz+OQqEgOjq6Qz9LS2XmVZJ8qZQJgwOwUVnPkLdMJmPoA7PxNeWTYorkwob1GHMSUfj2Raayzon8EwYHIJfDzvgc0r/+DrPJzOV+o7htdPuu6G5vaaXn+PHCVvp7hjOlR2xnV6fZQgJdue2WnsSnF7HvVPO2fbZECrmCJeF3ofDy4IqPDVUZedTnppF0PIfTdYNx6+bErLhIqwtsAeoyMsBsxtTDn48Sv2D1uQ30dAriHzF/JcY3ymKDK0dnDXcujsKsUrG3ehIXtqxGMlnvCMHvSWYj9UXZXWq+bc6FNLZ/+zY1tXVk2sdy/8KZzBjZA6XCIkKYLinQ25Fn7xmOV3Qcl81BnE/Yw84fPsNoqG/6zRag0/9nlJaWkpaWxrRp0wCYNm0aaWlplJWV/eG4bdu2MXfuXORyOW5ubsTGxrJjxw4AFAoFer0erVaLSqWivr6e999/nyeeeKLDP09Lrdt3Ho2NgrEDLXeY+FoUajUTlozHzljNoUwfaooqrXJKwn+4OqoZHu5DysmzVB86SKp7XxbdOdyqb6CF2mK+TP0OX3tvFoXGddjWum3l1qFB9O/lzuq958nIsd6dpexUdiyLvIfUYAckPRxdtZ3TdYNx9NQw964BVhnYQkMKMEmpYHnpJi5WZBIXPIuHByzBVePS2VVrkrOLLXcujsYkV/BLcTSp237q7Cq1CXN5PpLJ0GXm2x75eTdHNn1KjVGDOnwe/7tkMkE+ljUa0FWplHJuHxPMzDuXcMVmABWXU1n3+VtUVl6dWcjSyKROHu9LSUnhySefZOvWrY2vTZkyhbfeeouwsLDG16ZPn85rr71GZGTDkOpnn31GYWEh//jHP9i1axf/+te/sLe356WXXmL79u34+/sza9asVtertLQGs7l9/zRXyst5Zd8XuLsq8LTi+ZxOmQYM5/qhMtehktV1dnVuiATIjGYUZokyLwdkSusKBv9bvdmAJEkEOvlbXGaE5jKZJbLyq5GQsLHiBX0AZpkOt8pyatReONdn092YgAzrnXKhM9VT7qSg2sMBH3svbOTWt7VpvcFESX4lIEMhs878yr8nQ0KGRL3MBgnr/NH0GzM2lKKTvFG7jsVW03kLEtuCSqXEYLDOEQKzBOWlGdgajmJGzdQlz+Li0v4/MuRyGe7uDi1+n3U+7f7LxIkTmThxIgBZWVkkJSWxdOlSXnrpJUpLS4mOjmbRokUtOmdr/pgtVa804Olqi4ebEoUV9w5qgxU4VaUiu+KDBQwG3BAZYFYoqHNQIreiaSLXolGo8bR3x9ZKp4pAw00qyMeRwjJtk9skWzoFGvS2NrjXnSXAlIZMZt2fR29vg8LNiZ6uPmChUxCaolQp8PR1pLywAiv/7wU0/EA3I+8CgS2AnHplGK6eMSgU1n8/liQJpRX/QPf2CaWm2gVjTRrOTho8PS23B73Tg1tfX18KCwsxmUwoFApMJhNFRUX4+vpedVxeXl5jz21+fj5+fn5Xne/111/n6aefZtOmTbi5ufHCCy+wcOFCxo4dS0BA83OvdkTPrQ0qPol7iuLi6na9ToewjMXQbcbT07FrtEsXItrEMol2sTyiTSxT12iXCKChM7EjPktre247vZvN3d2d0NBQtmzZAsCWLVsIDQ3Fzc3tD8dNnjyZtWvXYjabKSsrY8+ePUyaNOkPx2zcuJHIyEh69OhBXV1d42IGmUyGVmu9+9ULgiAIgiAIzdPpwS3Aiy++yMqVK5k0aRIrV67kpZdeAmDp0qUkJzds5zpz5kz8/f2ZOHEid9xxBw8//PAfemIrKipYu3Yt999/PwAzZszg2LFjTJs2je7duxMS0vG74giCIAiCIAgdq9MXlFmqjpiWAF1lmKLrEe1ieUSbWCbRLpZHtIllEu3SclY7LUEQBEEQBEEQ2ooIbgVBEARBEIQuQwS3giAIgiAIQpchgltBEARBEAShyxDBrSAIgiAIgtBliOBWEARBEARB6DJEcCsIgiAIgiB0GSK4FQRBEARBELoMEdwKgiAIgiAIXYYIbgVBEARBEIQuQwS3giAIgiAIQpeh7OwKWCq5XNYlryU0n2gXyyPaxDKJdrE8ok0sk2iXlmnt30smSZLUxnURBEEQBEEQhE4hpiUIgiAIgiAIXYYIbgVBEARBEIQuQwS3giAIgiAIQpchgltBEARBEAShyxDBrSAIgiAIgtBliOBWEARBEARB6DJEcCsIgiAIgiB0GSK4FQRBEARBELoMEdwKgiAIgiAIXYYIbtvYm2++ybhx4wgJCSEjI6Px9Z9//pnZs2czffp0FixYQG5ubmNZZmYmcXFxTJo0ibi4OLKysppVJjRPS9ukvLycpUuXMmnSJKZPn84jjzxCWVlZ4/vOnDnDjBkzmDRpEvfeey+lpaUd/pm6gtZ8V/7jww8/vOp9ol1uXGvaRK/X88ILLzBx4kSmT5/Oc88911gm7l83rjVtsn//fmbNmsXMmTOZMWMGu3btaiwTbdI2rvecuN69qLVlQgtJQps6ceKElJeXJ40dO1Y6d+6cJEmSVFFRIQ0ZMkS6dOmSJEmStHHjRunee+9tfM/ChQuljRs3NpYtXLiwWWVC87S0TcrLy6Vjx441vv+f//yn9PTTT0uSJEkmk0mKjY2VTpw4IUmSJH300UfSU0891ZEfp8tozXdFkiQpJSVFWrJkyR/eJ9qlbbSmTV555RXptddek8xmsyRJklRcXNxYJu5fN66lbWI2m6Xo6OjGY9PT06UBAwZIJpNJkiTRJm3lWs+J692LWlsmtJwIbtvJ729EiYmJ0pQpUxrLysvLpeDgYKm0tFQqKSmRoqKiJKPRKEmSJBmNRikqKqrJMqHlmtsm/23Hjh3S3Xff3fi+qVOnNpaVlpZKAwYMaN+Kd3EtaRe9Xi/dcccdUm5u7lXvE+3SdprbJjU1NVJUVJRUU1Nz1TnE/attNbdNzGazNGTIEOnkyZOSJElSfHy8NHHiREmSRJu0p/88J653L2ptmdByYlpCB+jRowclJSUkJSUBsHnzZgDy8/PJz8/H29sbhUIBgEKhwMvLq8ky4cZcr01+z2w28/333zNu3LjGcj8/v8ZyNzc3zGYzFRUVHVTzrq2pdnnvvfeYMWMG/v7+f3ifaJf2c702yc3NxcXFhQ8//JDbbruNhQsXcvLkycZycf9qH9drE5lMxrvvvstDDz3E2LFjefjhh3nzzTcby0WbtL3fPyeudy9qbZnQcsrOrsDNwNHRkXfeeYc33ngDvV7PLbfcgpOTEwqFAqPR2NnVuyldr01+75VXXsHOzo4FCxZ0Uk1vLtdrl9OnT5OSksITTzzR2dW8qVyvTUwmE7m5ufTr148nn3ySxMREli1bxu7duzu72l1aU8+UTz/9lI8//pioqCgSEhJ47LHH2Lp1a2dXu8v6/XNC/N+3DCK47SDDhw9n+PDhAJSUlPDFF18QGBhIXV0dhYWFmEymxodFUVERvr6+SJJ0zTLhxl2rTf7jzTffJDs7m08++QS5vGGQw9fXl7y8vMZjysrKkMvluLi4dGzlu7BrtcvKlSu5ePEi48ePB6CgoIAlS5bwxhtviHZpZ9dqE51Oh1KpZNq0aQD0798fV1dXMjMz8fPzE/evdnStNklPT6eoqIioqCgAoqKisLW15eLFi3Tr1k20SRv77+fE9e5FrS0TWk5MS+ggxcXFQMPwxfLly7nzzjuxs7PD3d2d0NBQtmzZAsCWLVsIDQ3Fzc3tumXCjbtWmwAsX76clJQUPvroI2xsbBrfEx4ejk6naxx6Xb16NZMnT+74yndh12qX+++/n19++YV9+/axb98+fHx8+OKLLxg5cqRol3Z2rTZxc3MjJiaGw4cPAw0r8UtLSwkKChL3r3Z2rTbx8fGhoKCAS5cuAXDx4kVKS0sJDAwUbdLG/uw5cb17UWvLhJaTSZIkdXYlupJXX32VXbt2UVJSgqurKy4uLmzdupVnn32WU6dOYTAYGDFiBM888wxqtRpouPk89dRTVFVV4eTkxJtvvknPnj2bLBOap6Vtcv78eaZNm0b37t3RaDQA+Pv789FHHwFw6tQpXnjhBfR6Pd26deOtt97Cw8OjMz+iVWrNd+X3xo0bxyeffEJwcDAg2qUttKZNcnNzeeaZZ6ioqECpVPLYY48xevRoQNy/2kJr2mTTpk189tlnyGQyAP7yl78QGxsLiDZpK9d7TlzvXtTaMqFlRHArCIIgCIIgdBliWoIgCIIgCILQZYjgVhAEQRAEQegyRHArCIIgCIIgdBkiuBUEQRAEQRC6DBHcCoIgCIIgCF2GCG4FQRAs0FNPPcU777zTZa8nCILQXkRwKwiCIAiCIHQZIrgVBEEQBEEQugwR3AqCIFiAtLQ0Zs+ezcCBA3nsscfQ6/WNZfv372fmzJlER0dz5513cvbs2cay/Px8HnnkEYYOHUpMTAwvv/wyADk5OSxatIiYmBhiYmL429/+RlVVVbOu19Q1BUEQLJkIbgVBEDpZfX09Dz/8MDNnziQ+Pp7Jkyeza9cuoCEIfeaZZ3j55Zc5fvw4cXFxPPTQQ9TX12MymXjggQfw8/Nj3759HDx4kClTpgAgSRIPPPAAhw4dYvv27RQUFPDBBx80eb2mrikIgmDpRHArCILQyRITEzEYDNx9992oVComT55MREQEAGvWrCEuLo7+/fujUCiYPXs2KpWKM2fOkJSURFFREX//+9+xs7NDrVYTHR0NQFBQECNGjMDGxgY3NzcWL17MiRMnmrxeU9cUBEGwdMrOroAgCMLNrqioCG9vb2QyWeNrfn5+AOTl5bFx40ZWrlzZWGYwGCgqKkIul+Pn54dSefWtvKSkhNdee42TJ09SW1uLJEk4OTk1eb2mrikIgmDpRHArCILQyTw9PSksLESSpMaAMy8vj4CAAHx9fVm2bBkPPvjgVe87ffo0+fn5GI3GqwLc5cuXI5PJ2Lx5My4uLuzZs6dxPu71rgdc95qCIAiWTkxLEARB6GQDBgxAqVTyzTffYDAY2LVrF8nJyQDMnTuX1atXk5iYiCRJaLVafv75Z2pqaoiMjMTT05O3334brVaLXq8nISEBgNraWuzs7HB0dKSwsJDPP/+8Wddr6pqCIAiWTiZJktTZlRAEQbjZJScn89xzz5Gdnc3o0aOBhnmzjz/+OAcPHuS9994jOzsbjUbDoEGDeP3113FwcCAvL49XX321MaidPn06//jHPzh//jxPPvkkmZmZBAYGMnPmTL7++msOHjzY5PWA615TEATBkongVhAEQRAEQegyxLQEQRAEQRAEocsQwa0gCIIgCILQZYjgVhAEQRAEQegyRHArCIIgCIIgdBkiuBUEQRAEQRC6DBHcCoIgCIIgCF2GCG4FQRAEQRCELkMEt4IgCIIgCEKXIYJbQRAEQRAEocv4/4FEItdR8GOTAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 792x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculating the proportion of female laureates per decade\n",
    "nobel['female_winner'] = nobel['sex']=='Female'\n",
    "prop_female_winners = nobel.groupby(['decade','category'],as_index=False)['female_winner'].mean()\n",
    "# Plotting USA born winners with % winners on the y-axis\n",
    "# Setting the plotting theme\n",
    "sns.set()\n",
    "# and setting the size of all plots.\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['figure.figsize'] = [11, 7]\n",
    "\n",
    "ax = sns.lineplot(x='decade',y='female_winner',hue='category',data=prop_female_winners)\n",
    "\n",
    "# Adding %-formatting to the y-axis\n",
    "from matplotlib.ticker import PercentFormatter\n",
    "ax.yaxis.set_major_formatter(PercentFormatter(1.0))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "38"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 6. The first woman to win the Nobel Prize\n",
    "<p>The plot above is a bit messy as the lines are overplotting. But it does show some interesting trends and patterns. Overall the imbalance is pretty large with physics, economics, and chemistry having the largest imbalance. Medicine has a somewhat positive trend, and since the 1990s the literature prize is also now more balanced. The big outlier is the peace prize during the 2010s, but keep in mind that this just covers the years 2010 to 2016.</p>\n",
    "<p>Given this imbalance, who was the first woman to receive a Nobel Prize? And in what category?</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {
    "dc": {
     "key": "38"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>category</th>\n",
       "      <th>prize</th>\n",
       "      <th>motivation</th>\n",
       "      <th>prize_share</th>\n",
       "      <th>laureate_id</th>\n",
       "      <th>laureate_type</th>\n",
       "      <th>full_name</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_city</th>\n",
       "      <th>...</th>\n",
       "      <th>sex</th>\n",
       "      <th>organization_name</th>\n",
       "      <th>organization_city</th>\n",
       "      <th>organization_country</th>\n",
       "      <th>death_date</th>\n",
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       "      <th>usa_born_winner</th>\n",
       "      <th>decade</th>\n",
       "      <th>female_winner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1903</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1903</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>6</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Marie Curie, née Sklodowska</td>\n",
       "      <td>1867-11-07</td>\n",
       "      <td>Warsaw</td>\n",
       "      <td>...</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1934-07-04</td>\n",
       "      <td>Sallanches</td>\n",
       "      <td>France</td>\n",
       "      <td>False</td>\n",
       "      <td>1900</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    year category                            prize  \\\n",
       "19  1903  Physics  The Nobel Prize in Physics 1903   \n",
       "\n",
       "                                           motivation prize_share  \\\n",
       "19  \"in recognition of the extraordinary services ...         1/4   \n",
       "\n",
       "    laureate_id laureate_type                    full_name  birth_date  \\\n",
       "19            6    Individual  Marie Curie, née Sklodowska  1867-11-07   \n",
       "\n",
       "   birth_city      ...           sex organization_name organization_city  \\\n",
       "19     Warsaw      ...        Female               NaN               NaN   \n",
       "\n",
       "   organization_country  death_date  death_city death_country usa_born_winner  \\\n",
       "19                  NaN  1934-07-04  Sallanches        France           False   \n",
       "\n",
       "    decade  female_winner  \n",
       "19    1900           True  \n",
       "\n",
       "[1 rows x 21 columns]"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Picking out the first woman to win a Nobel Prize\n",
    "nobel[nobel.female_winner].nsmallest(1,'year')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "45"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 7. Repeat laureates\n",
    "<p>For most scientists/writers/activists a Nobel Prize would be the crowning achievement of a long career. But for some people, one is just not enough, and few have gotten it more than once. Who are these lucky few? (Having won no Nobel Prize myself, I'll assume it's just about luck.)</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {
    "dc": {
     "key": "45"
    },
    "scrolled": true,
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
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       "      <td>Frederick Sanger</td>\n",
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       "      <td>2013-11-19</td>\n",
       "      <td>Cambridge</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>False</td>\n",
       "      <td>1980</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
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       "      <td>False</td>\n",
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      "text/plain": [
       "     year   category                              prize  \\\n",
       "19   1903    Physics    The Nobel Prize in Physics 1903   \n",
       "62   1911  Chemistry  The Nobel Prize in Chemistry 1911   \n",
       "89   1917      Peace         The Nobel Peace Prize 1917   \n",
       "215  1944      Peace         The Nobel Peace Prize 1944   \n",
       "278  1954  Chemistry  The Nobel Prize in Chemistry 1954   \n",
       "283  1954      Peace         The Nobel Peace Prize 1954   \n",
       "298  1956    Physics    The Nobel Prize in Physics 1956   \n",
       "306  1958  Chemistry  The Nobel Prize in Chemistry 1958   \n",
       "340  1962      Peace         The Nobel Peace Prize 1962   \n",
       "348  1963      Peace         The Nobel Peace Prize 1963   \n",
       "424  1972    Physics    The Nobel Prize in Physics 1972   \n",
       "505  1980  Chemistry  The Nobel Prize in Chemistry 1980   \n",
       "523  1981      Peace         The Nobel Peace Prize 1981   \n",
       "\n",
       "                                            motivation prize_share  \\\n",
       "19   \"in recognition of the extraordinary services ...         1/4   \n",
       "62   \"in recognition of her services to the advance...         1/1   \n",
       "89                                                 NaN         1/1   \n",
       "215                                                NaN         1/1   \n",
       "278  \"for his research into the nature of the chemi...         1/1   \n",
       "283                                                NaN         1/1   \n",
       "298  \"for their researches on semiconductors and th...         1/3   \n",
       "306  \"for his work on the structure of proteins, es...         1/1   \n",
       "340                                                NaN         1/1   \n",
       "348                                                NaN         1/2   \n",
       "424  \"for their jointly developed theory of superco...         1/3   \n",
       "505  \"for their contributions concerning the determ...         1/4   \n",
       "523                                                NaN         1/1   \n",
       "\n",
       "     laureate_id laureate_type  \\\n",
       "19             6    Individual   \n",
       "62             6    Individual   \n",
       "89           482  Organization   \n",
       "215          482  Organization   \n",
       "278          217    Individual   \n",
       "283          515  Organization   \n",
       "298           66    Individual   \n",
       "306          222    Individual   \n",
       "340          217    Individual   \n",
       "348          482  Organization   \n",
       "424           66    Individual   \n",
       "505          222    Individual   \n",
       "523          515  Organization   \n",
       "\n",
       "                                             full_name  birth_date  \\\n",
       "19                         Marie Curie, née Sklodowska  1867-11-07   \n",
       "62                         Marie Curie, née Sklodowska  1867-11-07   \n",
       "89   Comité international de la Croix Rouge (Intern...         NaN   \n",
       "215  Comité international de la Croix Rouge (Intern...         NaN   \n",
       "278                                 Linus Carl Pauling  1901-02-28   \n",
       "283  Office of the United Nations High Commissioner...         NaN   \n",
       "298                                       John Bardeen  1908-05-23   \n",
       "306                                   Frederick Sanger  1918-08-13   \n",
       "340                                 Linus Carl Pauling  1901-02-28   \n",
       "348  Comité international de la Croix Rouge (Intern...         NaN   \n",
       "424                                       John Bardeen  1908-05-23   \n",
       "505                                   Frederick Sanger  1918-08-13   \n",
       "523  Office of the United Nations High Commissioner...         NaN   \n",
       "\n",
       "       birth_city      ...           sex  \\\n",
       "19         Warsaw      ...        Female   \n",
       "62         Warsaw      ...        Female   \n",
       "89            NaN      ...           NaN   \n",
       "215           NaN      ...           NaN   \n",
       "278  Portland, OR      ...          Male   \n",
       "283           NaN      ...           NaN   \n",
       "298   Madison, WI      ...          Male   \n",
       "306     Rendcombe      ...          Male   \n",
       "340  Portland, OR      ...          Male   \n",
       "348           NaN      ...           NaN   \n",
       "424   Madison, WI      ...          Male   \n",
       "505     Rendcombe      ...          Male   \n",
       "523           NaN      ...           NaN   \n",
       "\n",
       "                                organization_name organization_city  \\\n",
       "19                                            NaN               NaN   \n",
       "62                            Sorbonne University             Paris   \n",
       "89                                            NaN               NaN   \n",
       "215                                           NaN               NaN   \n",
       "278  California Institute of Technology (Caltech)      Pasadena, CA   \n",
       "283                                           NaN               NaN   \n",
       "298                        University of Illinois        Urbana, IL   \n",
       "306                       University of Cambridge         Cambridge   \n",
       "340  California Institute of Technology (Caltech)      Pasadena, CA   \n",
       "348                                           NaN               NaN   \n",
       "424                        University of Illinois        Urbana, IL   \n",
       "505           MRC Laboratory of Molecular Biology         Cambridge   \n",
       "523                                           NaN               NaN   \n",
       "\n",
       "         organization_country  death_date   death_city  \\\n",
       "19                        NaN  1934-07-04   Sallanches   \n",
       "62                     France  1934-07-04   Sallanches   \n",
       "89                        NaN         NaN          NaN   \n",
       "215                       NaN         NaN          NaN   \n",
       "278  United States of America  1994-08-19  Big Sur, CA   \n",
       "283                       NaN         NaN          NaN   \n",
       "298  United States of America  1991-01-30   Boston, MA   \n",
       "306            United Kingdom  2013-11-19    Cambridge   \n",
       "340  United States of America  1994-08-19  Big Sur, CA   \n",
       "348                       NaN         NaN          NaN   \n",
       "424  United States of America  1991-01-30   Boston, MA   \n",
       "505            United Kingdom  2013-11-19    Cambridge   \n",
       "523                       NaN         NaN          NaN   \n",
       "\n",
       "                death_country usa_born_winner  decade  female_winner  \n",
       "19                     France           False    1900           True  \n",
       "62                     France           False    1910           True  \n",
       "89                        NaN           False    1910          False  \n",
       "215                       NaN           False    1940          False  \n",
       "278  United States of America            True    1950          False  \n",
       "283                       NaN           False    1950          False  \n",
       "298  United States of America            True    1950          False  \n",
       "306            United Kingdom           False    1950          False  \n",
       "340  United States of America            True    1960          False  \n",
       "348                       NaN           False    1960          False  \n",
       "424  United States of America            True    1970          False  \n",
       "505            United Kingdom           False    1980          False  \n",
       "523                       NaN           False    1980          False  \n",
       "\n",
       "[13 rows x 21 columns]"
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Selecting the laureates that have received 2 or more prizes.\n",
    "nobel.groupby('full_name').filter(lambda x:len(x)>=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "52"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 8. How old are you when you get the prize?\n",
    "<p>The list of repeat winners contains some illustrious names! We again meet Marie Curie, who got the prize in physics for discovering radiation and in chemistry for isolating radium and polonium. John Bardeen got it twice in physics for transistors and superconductivity, Frederick Sanger got it twice in chemistry, and Linus Carl Pauling got it first in chemistry and later in peace for his work in promoting nuclear disarmament. We also learn that organizations also get the prize as both the Red Cross and the UNHCR have gotten it twice.</p>\n",
    "<p>But how old are you generally when you get the prize?</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {
    "dc": {
     "key": "52"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7faac2781358>"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Converting birth_date from String to datetime\n",
    "nobel['birth_date'] = pd.to_datetime(nobel['birth_date'])\n",
    "\n",
    "# Calculating the age of Nobel Prize winners\n",
    "nobel['age'] = nobel['year'] - nobel['birth_date'].dt.year\n",
    "\n",
    "# Plotting the age of Nobel Prize winners\n",
    "sns.lmplot(x='year', y='age', data=nobel, lowess=True, \n",
    "           aspect=2, line_kws={'color' : 'black'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "59"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 9. Age differences between prize categories\n",
    "<p>The plot above shows us a lot! We see that people use to be around 55 when they received the price, but nowadays the average is closer to 65. But there is a large spread in the laureates' ages, and while most are 50+, some are very young.</p>\n",
    "<p>We also see that the density of points is much high nowadays than in the early 1900s -- nowadays many more of the prizes are shared, and so there are many more winners. We also see that there was a disruption in awarded prizes around the Second World War (1939 - 1945). </p>\n",
    "<p>Let's look at age trends within different prize categories.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {
    "dc": {
     "key": "59"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7faac278a7b8>"
      ]
     },
     "execution_count": 228,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x2160 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Same plot as above, but separate plots for each type of Nobel Prize\n",
    "sns.lmplot(x='year', y='age', data=nobel,row='category',lowess=True, \n",
    "           aspect=2, line_kws={'color' : 'black'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "66"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 10. Oldest and youngest winners\n",
    "<p>More plots with lots of exciting stuff going on! We see that both winners of the chemistry, medicine, and physics prize have gotten older over time. The trend is strongest for physics: the average age used to be below 50, and now it's almost 70. Literature and economics are more stable. We also see that economics is a newer category. But peace shows an opposite trend where winners are getting younger! </p>\n",
    "<p>In the peace category we also a winner around 2010 that seems exceptionally young. This begs the questions, who are the oldest and youngest people ever to have won a Nobel Prize?</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {
    "dc": {
     "key": "66"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>category</th>\n",
       "      <th>prize</th>\n",
       "      <th>motivation</th>\n",
       "      <th>prize_share</th>\n",
       "      <th>laureate_id</th>\n",
       "      <th>laureate_type</th>\n",
       "      <th>full_name</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_city</th>\n",
       "      <th>...</th>\n",
       "      <th>organization_name</th>\n",
       "      <th>organization_city</th>\n",
       "      <th>organization_country</th>\n",
       "      <th>death_date</th>\n",
       "      <th>death_city</th>\n",
       "      <th>death_country</th>\n",
       "      <th>usa_born_winner</th>\n",
       "      <th>decade</th>\n",
       "      <th>female_winner</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>793</th>\n",
       "      <td>2007</td>\n",
       "      <td>Economics</td>\n",
       "      <td>The Sveriges Riksbank Prize in Economic Scienc...</td>\n",
       "      <td>\"for having laid the foundations of mechanism ...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>820</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Leonid Hurwicz</td>\n",
       "      <td>1917-08-21</td>\n",
       "      <td>Moscow</td>\n",
       "      <td>...</td>\n",
       "      <td>University of Minnesota</td>\n",
       "      <td>Minneapolis, MN</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>2008-06-24</td>\n",
       "      <td>Minneapolis, MN</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>False</td>\n",
       "      <td>2000</td>\n",
       "      <td>False</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     year   category                                              prize  \\\n",
       "793  2007  Economics  The Sveriges Riksbank Prize in Economic Scienc...   \n",
       "\n",
       "                                            motivation prize_share  \\\n",
       "793  \"for having laid the foundations of mechanism ...         1/3   \n",
       "\n",
       "     laureate_id laureate_type       full_name birth_date birth_city  ...   \\\n",
       "793          820    Individual  Leonid Hurwicz 1917-08-21     Moscow  ...    \n",
       "\n",
       "           organization_name organization_city      organization_country  \\\n",
       "793  University of Minnesota   Minneapolis, MN  United States of America   \n",
       "\n",
       "     death_date       death_city             death_country usa_born_winner  \\\n",
       "793  2008-06-24  Minneapolis, MN  United States of America           False   \n",
       "\n",
       "    decade  female_winner   age  \n",
       "793   2000          False  90.0  \n",
       "\n",
       "[1 rows x 22 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "      <th>motivation</th>\n",
       "      <th>prize_share</th>\n",
       "      <th>laureate_id</th>\n",
       "      <th>laureate_type</th>\n",
       "      <th>full_name</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_city</th>\n",
       "      <th>...</th>\n",
       "      <th>organization_name</th>\n",
       "      <th>organization_city</th>\n",
       "      <th>organization_country</th>\n",
       "      <th>death_date</th>\n",
       "      <th>death_city</th>\n",
       "      <th>death_country</th>\n",
       "      <th>usa_born_winner</th>\n",
       "      <th>decade</th>\n",
       "      <th>female_winner</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>2014</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2014</td>\n",
       "      <td>\"for their struggle against the suppression of...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>914</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Malala Yousafzai</td>\n",
       "      <td>1997-07-12</td>\n",
       "      <td>Mingora</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2010</td>\n",
       "      <td>True</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     year category                       prize  \\\n",
       "885  2014    Peace  The Nobel Peace Prize 2014   \n",
       "\n",
       "                                            motivation prize_share  \\\n",
       "885  \"for their struggle against the suppression of...         1/2   \n",
       "\n",
       "     laureate_id laureate_type         full_name birth_date birth_city  ...   \\\n",
       "885          914    Individual  Malala Yousafzai 1997-07-12    Mingora  ...    \n",
       "\n",
       "    organization_name organization_city organization_country death_date  \\\n",
       "885               NaN               NaN                  NaN        NaN   \n",
       "\n",
       "    death_city death_country usa_born_winner decade  female_winner   age  \n",
       "885        NaN           NaN           False   2010           True  17.0  \n",
       "\n",
       "[1 rows x 22 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# The oldest winner of a Nobel Prize as of 2016\n",
    "display(nobel.nlargest(1,'age'))\n",
    "\n",
    "# The youngest winner of a Nobel Prize as of 2016\n",
    "display(nobel.nsmallest(1,'age'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "dc": {
     "key": "73"
    },
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    },
    "tags": [
     "context"
    ]
   },
   "source": [
    "## 11. You get a prize!\n",
    "<p><img style=\"float: right;margin:20px 20px 20px 20px; max-width:200px\" src=\"https://assets.datacamp.com/production/project_441/img/paint_nobel_prize.png\"></p>\n",
    "<p>Hey! You get a prize for making it to the very end of this notebook! It might not be a Nobel Prize, but I made it myself in paint so it should count for something. But don't despair, Leonid Hurwicz was 90 years old when he got his prize, so it might not be too late for you. Who knows.</p>\n",
    "<p>Before you leave, what was again the name of the youngest winner ever who in 2014 got the prize for \"[her] struggle against the suppression of children and young people and for the right of all children to education\"?</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {
    "dc": {
     "key": "73"
    },
    "tags": [
     "sample_code"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "885    Malala Yousafzai\n",
       "Name: full_name, dtype: object"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# The name of the youngest winner of the Nobel Prize as of 2016\n",
    "yng = nobel.nsmallest(1,'age')\n",
    "youngest_winner = yng['full_name']\n",
    "display(youngest_winner)"
   ]
  }
 ],
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