crossfitDS.ipynb

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    "# Insights from CrossFit Games Data\n",
    "\n",
    "<a href=\"https://ca.linkedin.com/in/antonrubisov\">Anton Rubisov</a>, <a href=\"http://sportsanalytics.sa.utoronto.ca/\">University of Toronto Sports Analytics Group</a>\n",
    "\n",
    "<img src=\"http://www.dafont.com/forum/attach/orig/5/0/507820.png\" align=\"right\" width=\"25%\"> The CrossFit Games are the world's premier test to find the Fittest on Earth™. They are world-renowned as a grueling test for the toughest athletes on Earth as well as a thrilling experience for spectators. <cite>http://games.crossfit.com/about-the-games</cite>\n",
    "\n",
    "The Games are structured into three stages: the Open, the Regionals, and the Games. To participate in the Open, an athlete creates a profile on the portal, and submits their scores for the weekly workouts done either in their home gym or videotaped and posted online. On conclusion of the Open, the top athletes proceed to the Regionals where this is repeated in-person in several locations around the world, and the top of the Regionals are invited to California for the annual Games. \n",
    "\n",
    "\n",
    "## CrossFit Games as a Data Science Project\n",
    "What makes this a fascinating data science project is that athletes are encouraged to self-report their athletic benchmark statistics on their profile, all of which are available publicly. The result is having access to statistics on about 70,000 athletes, ranging from descriptive parameters such as age, weight, and gender, to their benchmarks on squats, bench press, and 5km run times, to performance in the various stages of the Games. \n",
    "\n",
    "While the Games performance data is reliable, the self-reported attributes are a prime example of dirty data. See, for example, <a href=\"http://games.crossfit.com/athlete/109651\">the author's own profile page</a>. These attributes are sparse due to not all fields being filled in by every athlete, unverifiable even if the data is correct, and subject to mistakes even when available. A key consideration, then, is cleansing the available data.\n",
    "\n",
    "## Questions to Explore\n",
    "1. Accepting the unverifiability of the athlete data, how can we best cleanse the data to eliminate incorrect information while retaining outliers?\n",
    "2. What relationships exist between the various benchmarks? E.g. how does an athlete's squat compare with her clean & jerk?\n",
    "3. How well does the distribution of benchmarks support previously postulated standards for weightlifting, such as Mark Rippetoe's Starting Strength table of standards?\n",
    "4. Can an athlete's attributes be used to predict their performance in the CrossFit Games?"
   ]
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    "# The Data Set\n",
    "The original dataset was obtained in January 2015 by iteratively scraping the <a>http://games.crossfit.com/athlete/</a> pages as well as the <a>http://games.crossfit.com/leaderboard/</a> pages using the Python BeautifulSoup package. This provided a snapshot of athlete attributes as of January 2015, as well as performances in the 2012, 2013, and 2014 competitions. The dataset was stored in MongoDB format and later migrated to a pickled pandas DataFrame named <code>crossfit_data.pkl</code>"
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      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 68111 entries, 0 to 68110\n",
      "Data columns (total 178 columns):\n",
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      "2012-regionals-workout1-rank     float64\n",
      "2012-regionals-workout1-score    float64\n",
      "2012-regionals-workout2-rank     float64\n",
      "2012-regionals-workout2-score    float64\n",
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      "2012-regionals-workout4-score    float64\n",
      "2012-regionals-workout5-rank     float64\n",
      "2012-regionals-workout5-score    float64\n",
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      "2013-games-workout1-rank         float64\n",
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      "2013-open-workout5-rank          float64\n",
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      "2013-regionals-workout1-rank     float64\n",
      "2013-regionals-workout1-score    float64\n",
      "2013-regionals-workout2-rank     float64\n",
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      "2013-regionals-workout3-rank     float64\n",
      "2013-regionals-workout3-score    float64\n",
      "2013-regionals-workout4-rank     float64\n",
      "2013-regionals-workout4-score    float64\n",
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      "2014-games-workout5-rank         float64\n",
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      "2014-open-workout3-score         float64\n",
      "2014-open-workout4-rank          float64\n",
      "2014-open-workout4-score         float64\n",
      "2014-open-workout5-rank          float64\n",
      "2014-open-workout5-score         float64\n",
      "2014-regionals-workout1-rank     float64\n",
      "2014-regionals-workout1-score    float64\n",
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      "2014-regionals-workout3-rank     float64\n",
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      "2014-regionals-workout4-rank     float64\n",
      "2014-regionals-workout4-score    float64\n",
      "2014-regionals-workout5-rank     float64\n",
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      "Affiliate                        object\n",
      "Age                              int64\n",
      "Back Squat                       float64\n",
      "Clean &amp; Jerk                 float64\n",
      "Deadlift                         float64\n",
      "Fight Gone Bad                   float64\n",
      "Filthy 50                        float64\n",
      "Fran                             float64\n",
      "Gender                           int64\n",
      "Grace                            float64\n",
      "Height                           float64\n",
      "Helen                            float64\n",
      "Max Pull-ups                     float64\n",
      "Region                           float64\n",
      "Run 5k                           float64\n",
      "Snatch                           float64\n",
      "Sprint 400m                      float64\n",
      "Team                             object\n",
      "Weight                           float64\n",
      "_id                              object\n",
      "athlete_id                       int64\n",
      "athlete_name                     object\n",
      "dtypes: float64(131), int64(3), object(44)\n",
      "memory usage: 92.5+ MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "df = pd.read_pickle('data/crossfit_data.pkl')\n",
    "print(df.info(verbose=True))"
   ]
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   "source": [
    "Subsequently, in December 2015, the athlete profiles were scraped again to produce another snapshot of athlete attributes, thus offering the potential for year-over-year comparison, along with performance in the 2015 competition. This dataset is stored in <code>crossfit_data_2015.pkl</code> and is reserved for out-of-sample testing."
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "df_2015 = pd.read_pickle('data/crossfit_data_2015.pkl')\n",
    "print(df_2015.info(verbose=True))"
   ]
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   "source": [
    "### Accepting the unverifiability of the athlete data, how can we best cleanse the data to eliminate incorrect information while retaining outliers?\n",
    "\n",
    "In the scraping process, the raw data was already adjusted to reflect all times (e.g. Run 5K) in seconds, and all weights (e.g. Back Squat) in pounds. Nevertheless, the data collected is still dirty with inaccuracies. For example, the current world record back squat hovers around the 1,000lb level, potentially as high as 1,260lbs. A quick check of the data shows:"
   ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of athletes squatting <= 10 pounds: 28\n",
      "Number of athletes that exceed the world record: 11\n"
     ]
    }
   ],
   "source": [
    "print(\"Number of athletes squatting <= 10 pounds:\", df.loc[(df['Back Squat'] > 0) & (df['Back Squat'] < 11)]['athlete_id'].count())\n",
    "print(\"Number of athletes that exceed the world record:\", df.loc[df['Back Squat'] > 1200]['athlete_id'].count())"
   ]
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nJ4SGhmLixIkmwSMmJgZyuRwffvgh9Ho9NBoNpkyZYnLOWbNmITU1FUuWLBEf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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f57bbd25160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "matplotlib.style.use('ggplot')\n",
    "plt.figure()\n",
    "plt.suptitle('Raw Back Squat Data')\n",
    "plt.xlabel('Weight (lbs)')\n",
    "plt.ylabel('Frequency')\n",
    "plt.hist(df['Back Squat'].dropna(), bins=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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LTA4+V65cwc8//4zExEQUFRXB0dERYWFhGDJkCHr27Cm2e/LJJ/HPf/4TBw4c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\ngo8QQgghFo1/Ac0hjKiQeEJ4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f57b59c5160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "matplotlib.style.use('ggplot')\n",
    "plt.figure()\n",
    "plt.suptitle('Reduced Back Squat Data')\n",
    "plt.xlabel('Weight (lbs)')\n",
    "plt.ylabel('Frequency')\n",
    "plt.hist(df.loc[(df['Back Squat'] > 0) & (df['Back Squat'] < 1200)]['Back Squat'].dropna(), bins=100);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This appears almost to be a bi-modal normal distribution. In fact, this can be largely be explained by the lack of separation of data by gender. When so done, we see rather well-defined normal distributions for the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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J1157DefOncPdd98NrVaLP//8E3v27MEjjzyCKVOm2KWOoUOHYtu2bXB3d0dI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\n4TUk8RFCCCGE1/g/CywO42iDhqwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f57b56f23c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.suptitle('Back Squat Data by Gender')\n",
    "plt.xlabel('Weight (lbs)')\n",
    "plt.ylabel('Frequency')\n",
    "plt.hist(df.loc[(df['Gender'] == 1) & (df['Back Squat'] > 0) & (df['Back Squat'] < 1200)]['Back Squat'].dropna(), bins=100, label='Male');\n",
    "plt.hist(df.loc[(df['Gender'] == 2) & (df['Back Squat'] > 0) & (df['Back Squat'] < 1200)]['Back Squat'].dropna(), bins=100, label='Female');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As there is substantially more data for male athletes than for female, and rather than duplicating all calculations for both, we'll focus on the male athlete data. Later we will return to using both."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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f1GM/3MO+qMd+uId9Ua8j/xtq2nJI57KxsYFYLEZpaanW8dLS0gYjNnfJZLJG462srCCR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\nZkjiI4QQQgibIYmPEEIIIWzG/weqcOCS6ZJROQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f57b5498f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.mlab as mlab\n",
    "plt.figure()\n",
    "plt.suptitle('Male Back Squat Data')\n",
    "plt.xlabel('Weight (lbs)')\n",
    "plt.ylabel('Relative Frequency')\n",
    "__, x, __ = plt.hist(df.loc[(df['Gender'] == 1) & (df['Back Squat'] > df['Back Squat'].dropna().quantile(.001)) & (df['Back Squat'] < df['Back Squat'].dropna().quantile(.999))]['Back Squat'].dropna(), normed=1, bins=50)\n",
    "mu = df.loc[(df['Gender'] == 1) & (df['Back Squat'] > df['Back Squat'].dropna().quantile(.001)) & (df['Back Squat'] < df['Back Squat'].dropna().quantile(.999))]['Back Squat'].dropna().mean()\n",
    "sigma = df.loc[(df['Gender'] == 1) & (df['Back Squat'] > df['Back Squat'].dropna().quantile(.001)) & (df['Back Squat'] < df['Back Squat'].dropna().quantile(.999))]['Back Squat'].dropna().std()\n",
    "plt.plot(x,mlab.normpdf(x, mu, sigma),label='PDF');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Very similar techniques can be applied to cleansing the remaining attributes as well. In so doing, we transform our data from:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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r10/kGIcOHcLVq1fx6tUrKCoqwsLCAt7e3jA0NKx1/nFxcbC3t6/1frKM+kwy1G+1R30m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\niIjIZv0/u/ZBtYI1+qEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f57b5502f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.suptitle('Raw Male Athlete Attributes')\n",
    "plt.xlabel('Weight (lbs)')\n",
    "plt.ylabel('Relative Frequency')\n",
    "for attribute in ['Back Squat','Deadlift','Clean &amp; Jerk','Snatch']:\n",
    "    plt.hist(df.loc[(df['Gender'] == 1) & (df[attribute] > 0) & (df[attribute] < 1200)][attribute].dropna(), normed=1, bins=50, label=attribute);\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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58+cxePBgmJubY/v27dDW1mbzbN26FefPn4empibb3saUq23fvn3o378/9PX1ha45OTkh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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f57a16ed860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.suptitle('Cleaned Male Athlete Attributes')\n",
    "plt.xlabel('Weight (lbs)')\n",
    "plt.ylabel('Relative Frequency')\n",
    "for attribute in ['Back Squat','Deadlift','Clean &amp; Jerk','Snatch']:\n",
    "    plt.hist(df.loc[(df['Gender'] == 1) & (df[attribute] > df[attribute].dropna().quantile(.001)) & (df[attribute] < df[attribute].dropna().quantile(.999))][attribute].dropna(), normed=1, bins=50, label=attribute);\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In considering attributes that are time-based, we can use a the same rules to remove unwanted outliers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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lJSEqKgrbtm1DWVmZEHPmzBkkJyfjscceQ1JSEoKDg5GUlITa2tpe5zt79iwOHjwIHx+f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\niIiIiCT8H5gFcexHx2MTAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f57b5b22588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.suptitle('Raw Fran Time')\n",
    "plt.xlabel('Time (s)')\n",
    "plt.ylabel('Relative Frequency')\n",
    "attribute = 'Fran'\n",
    "plt.hist(df.loc[(df['Gender'] == 1) & (df[attribute] > 0) & (df[attribute] < 10000)][attribute].dropna(), normed=1, bins=100);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fran is an as-fast-as-possible style workout, with top athletes finishing in the 2min range. A 20min (1200s) timecap is sufficient to include all the data points we care about, and this case, we see that restricting to the 99.9 percentile is actually insufficient, as too many data points are included. The plot on the right restricts to the 99 percentile, and is more appropriate for our use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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r1qzBihUrsGTJEjg6OmLSpEmwtbXFm2++qbTP2s77mnU1HBwcsHz5cnz++eeI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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f57b527b7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)\n",
    "ax = f.add_subplot(111, frameon=False, yticks=[], xticks=[]);\n",
    "plt.suptitle('Cleaned Fran Time');\n",
    "attribute = 'Fran'\n",
    "ax1.hist(df.loc[(df['Gender'] == 1) & (df[attribute] > df[attribute].dropna().quantile(.001)) & (df[attribute] < df[attribute].dropna().quantile(.999))][attribute].dropna(), normed=1, bins=100, label='99.9 quantile');\n",
    "ax2.hist(df.loc[(df['Gender'] == 1) & (df[attribute] > df[attribute].dropna().quantile(.001)) & (df[attribute] < df[attribute].dropna().quantile(.99))][attribute].dropna(), normed=1, bins=100, label='99 quantile');\n",
    "#ax2.get_yaxis().set_ticklabels([])\n",
    "ax1.set_xlabel('Time (s)'); ax2.set_xlabel('Time (s)');\n",
    "ax1.legend(); ax2.legend();\n",
    "ax1.set_ylabel('Relative Frequency');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This same style of analysis was followed for all the athlete attributes in order to identify the appropriate cutoff quantiles. The table below lists these cutoffs for each attribute. (Note: Age is kept raw due to having no discernible outliers.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                  Lower Quantile  Upper Quantile\n",
      "Back Squat                 0.001           0.999\n",
      "Clean &amp; Jerk           0.001           0.999\n",
      "Deadlift                   0.001           0.999\n",
      "Fight Gone Bad             0.001           0.999\n",
      "Filthy 50                  0.005           0.995\n",
      "Fran                       0.001           0.990\n",
      "Grace                      0.001           0.990\n",
      "Height                     0.010           0.995\n",
      "Helen                      0.001           0.990\n",
      "Max Pull-ups               0.001           0.990\n",
      "Run 5k                     0.010           0.990\n",
      "Snatch                     0.001           0.999\n",
      "Sprint 400m                0.001           0.950\n",
      "Weight                     0.010           0.990\n"
     ]
    }
   ],
   "source": [
    "attributes = ['Back Squat',\n",
    "            'Clean &amp; Jerk',\n",
    "            'Deadlift',\n",
    "            'Fight Gone Bad',\n",
    "            'Filthy 50',\n",
    "            'Fran',\n",
    "            'Grace',\n",
    "            'Height',\n",
    "            'Helen',\n",
    "            'Max Pull-ups',\n",
    "            'Run 5k',\n",
    "            'Snatch',\n",
    "            'Sprint 400m',\n",
    "            'Weight']\n",
    "cutoffs = pd.DataFrame(data=[[0.001,0.999],\n",
    "                            [0.001,0.999],\n",
    "                            [0.001,0.999],\n",
    "                            [0.001,0.999],\n",
    "                            [0.005,0.995],\n",
    "                            [0.001,0.99],\n",
    "                            [0.001,0.99],\n",
    "                            [0.01,0.995],\n",
    "                            [0.001,0.99],\n",
    "                            [0.001,0.99],\n",
    "                            [0.01,0.99],\n",
    "                            [0.001,0.999],\n",
    "                            [0.001,0.95],\n",
    "                            [0.01,0.99]],\n",
    "                      index=attributes,\n",
    "                      columns=['Lower Quantile','Upper Quantile'])\n",
    "print(cutoffs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using this table of values, we conduct data cleanup across the athlete attributes by converting values that fall outside the allowable quantiles to NaN:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for gender in [1,2]:\n",
    "    for row in cutoffs.iterrows():\n",
    "        df.loc[(df['Gender'] == gender) &\n",
    "               ( ( df[row[0]] < df[row[0]].dropna().quantile(row[1][0]) ) |\n",
    "                 ( df[row[0]] > df[row[0]].dropna().quantile(row[1][1]) ) ), row[0]] = np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Exploration\n",
    "\n",
    "### What correlations exist between the various attributes?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Back Squat</th>\n",
       "      <th>Clean &amp;amp; Jerk</th>\n",
       "      <th>Deadlift</th>\n",
       "      <th>Fight Gone Bad</th>\n",
       "      <th>Filthy 50</th>\n",
       "      <th>Fran</th>\n",
       "      <th>Grace</th>\n",
       "      <th>Height</th>\n",
       "      <th>Helen</th>\n",
       "      <th>Max Pull-ups</th>\n",
       "      <th>Run 5k</th>\n",
       "      <th>Snatch</th>\n",
       "      <th>Sprint 400m</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Back Squat</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-0.43</td>\n",
       "      <td>0.52</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>0.88</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>0.69</td>\n",
       "      <td>-0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clean &amp;amp; Jerk</th>\n",
       "      <td>0.91</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.56</td>\n",
       "      <td>-0.42</td>\n",
       "      <td>-0.60</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>0.55</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>0.59</td>\n",
       "      <td>-0.39</td>\n",
       "      <td>0.95</td>\n",
       "      <td>-0.46</td>\n",
       "      <td>0.67</td>\n",
       "      <td>-0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Deadlift</th>\n",
       "      <td>0.91</td>\n",
       "      <td>0.88</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.49</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>0.57</td>\n",
       "      <td>-0.44</td>\n",
       "      <td>0.52</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>0.85</td>\n",
       "      <td>-0.41</td>\n",
       "      <td>0.72</td>\n",
       "      <td>-0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fight Gone Bad</th>\n",
       "      <td>0.50</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.49</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.66</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>0.21</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>0.57</td>\n",
       "      <td>-0.49</td>\n",
       "      <td>0.57</td>\n",
       "      <td>-0.43</td>\n",
       "      <td>0.22</td>\n",
       "      <td>-0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Filthy 50</th>\n",
       "      <td>-0.35</td>\n",
       "      <td>-0.42</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>-0.66</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.47</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>0.65</td>\n",
       "      <td>-0.58</td>\n",
       "      <td>0.51</td>\n",
       "      <td>-0.43</td>\n",
       "      <td>0.42</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fran</th>\n",
       "      <td>-0.54</td>\n",
       "      <td>-0.60</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>0.66</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.61</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>0.69</td>\n",
       "      <td>-0.69</td>\n",
       "      <td>0.47</td>\n",
       "      <td>-0.61</td>\n",
       "      <td>0.46</td>\n",
       "      <td>-0.13</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grace</th>\n",
       "      <td>-0.51</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.61</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>0.46</td>\n",
       "      <td>-0.41</td>\n",
       "      <td>0.27</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>0.31</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>0.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Height</th>\n",
       "      <td>0.50</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.57</td>\n",
       "      <td>0.21</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>0.16</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>0.52</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helen</th>\n",
       "      <td>-0.43</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>-0.44</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.46</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>0.59</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>0.52</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max Pull-ups</th>\n",
       "      <td>0.52</td>\n",
       "      <td>0.59</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.57</td>\n",
       "      <td>-0.58</td>\n",
       "      <td>-0.69</td>\n",
       "      <td>-0.41</td>\n",
       "      <td>0.16</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>0.60</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>0.13</td>\n",
       "      <td>-0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Run 5k</th>\n",
       "      <td>-0.33</td>\n",
       "      <td>-0.39</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>-0.49</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.27</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>0.59</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.38</td>\n",
       "      <td>0.56</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snatch</th>\n",
       "      <td>0.88</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.57</td>\n",
       "      <td>-0.43</td>\n",
       "      <td>-0.61</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>0.52</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>0.60</td>\n",
       "      <td>-0.38</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>0.63</td>\n",
       "      <td>-0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sprint 400m</th>\n",
       "      <td>-0.40</td>\n",
       "      <td>-0.46</td>\n",
       "      <td>-0.41</td>\n",
       "      <td>-0.43</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.31</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>0.52</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>0.56</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>0.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weight</th>\n",
       "      <td>0.69</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.22</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.13</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>0.78</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>0.13</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.63</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.20</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>0.17</td>\n",
       "      <td>-0.21</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.06</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Back Squat Clean &amp; Jerk Deadlift Fight Gone Bad  \\\n",
       "Back Squat             1.00             0.91     0.91           0.50   \n",
       "Clean &amp; Jerk       0.91             1.00     0.88           0.56   \n",
       "Deadlift               0.91             0.88     1.00           0.49   \n",
       "Fight Gone Bad         0.50             0.56     0.49           1.00   \n",
       "Filthy 50             -0.35            -0.42    -0.33          -0.66   \n",
       "Fran                  -0.54            -0.60    -0.50          -0.64   \n",
       "Grace                 -0.51            -0.57    -0.48          -0.54   \n",
       "Height                 0.50             0.55     0.57           0.21   \n",
       "Helen                 -0.43            -0.50    -0.44          -0.63   \n",
       "Max Pull-ups           0.52             0.59     0.52           0.57   \n",
       "Run 5k                -0.33            -0.39    -0.35          -0.49   \n",
       "Snatch                 0.88             0.95     0.85           0.57   \n",
       "Sprint 400m           -0.40            -0.46    -0.41          -0.43   \n",
       "Weight                 0.69             0.67     0.72           0.22   \n",
       "Age                   -0.11            -0.19    -0.09          -0.19   \n",
       "\n",
       "                 Filthy 50   Fran  Grace Height  Helen Max Pull-ups Run 5k  \\\n",
       "Back Squat           -0.35  -0.54  -0.51   0.50  -0.43         0.52  -0.33   \n",
       "Clean &amp; Jerk     -0.42  -0.60  -0.57   0.55  -0.50         0.59  -0.39   \n",
       "Deadlift             -0.33  -0.50  -0.48   0.57  -0.44         0.52  -0.35   \n",
       "Fight Gone Bad       -0.66  -0.64  -0.54   0.21  -0.63         0.57  -0.49   \n",
       "Filthy 50             1.00   0.66   0.47  -0.05   0.65        -0.58   0.51   \n",
       "Fran                  0.66   1.00   0.61  -0.09   0.69        -0.69   0.47   \n",
       "Grace                 0.47   0.61   1.00  -0.16   0.46        -0.41   0.27   \n",
       "Height               -0.05  -0.09  -0.16   1.00  -0.16         0.16  -0.22   \n",
       "Helen                 0.65   0.69   0.46  -0.16   1.00        -0.64   0.59   \n",
       "Max Pull-ups         -0.58  -0.69  -0.41   0.16  -0.64         1.00  -0.50   \n",
       "Run 5k                0.51   0.47   0.27  -0.22   0.59        -0.50   1.00   \n",
       "Snatch               -0.43  -0.61  -0.57   0.52  -0.51         0.60  -0.38   \n",
       "Sprint 400m           0.42   0.46   0.31  -0.24   0.52        -0.48   0.56   \n",
       "Weight               -0.01  -0.13  -0.28   0.78  -0.11         0.13  -0.08   \n",
       "Age                   0.24   0.25   0.22   0.04   0.20        -0.19   0.17   \n",
       "\n",
       "                 Snatch Sprint 400m Weight    Age  \n",
       "Back Squat         0.88       -0.40   0.69  -0.11  \n",
       "Clean &amp; Jerk   0.95       -0.46   0.67  -0.19  \n",
       "Deadlift           0.85       -0.41   0.72  -0.09  \n",
       "Fight Gone Bad     0.57       -0.43   0.22  -0.19  \n",
       "Filthy 50         -0.43        0.42  -0.01   0.24  \n",
       "Fran              -0.61        0.46  -0.13   0.25  \n",
       "Grace             -0.57        0.31  -0.28   0.22  \n",
       "Height             0.52       -0.24   0.78   0.04  \n",
       "Helen             -0.51        0.52  -0.11   0.20  \n",
       "Max Pull-ups       0.60       -0.48   0.13  -0.19  \n",
       "Run 5k            -0.38        0.56  -0.08   0.17  \n",
       "Snatch             1.00       -0.45   0.63  -0.21  \n",
       "Sprint 400m       -0.45        1.00  -0.16   0.24  \n",
       "Weight             0.63       -0.16   1.00   0.06  \n",
       "Age               -0.21        0.24   0.06   1.00  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[:,attributes + ['Age']].corr().applymap(lambda x: '%.2f' % x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For ease of analysis, we'll look only at cases were linear correlation is in excess of +/- 0.5:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Back Squat</th>\n",
       "      <th>Clean &amp;amp; Jerk</th>\n",
       "      <th>Deadlift</th>\n",
       "      <th>Fight Gone Bad</th>\n",
       "      <th>Filthy 50</th>\n",
       "      <th>Fran</th>\n",
       "      <th>Grace</th>\n",
       "      <th>Height</th>\n",
       "      <th>Helen</th>\n",
       "      <th>Max Pull-ups</th>\n",
       "      <th>Run 5k</th>\n",
       "      <th>Snatch</th>\n",
       "      <th>Sprint 400m</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Back Squat</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.50</td>\n",
       "      <td>--</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>0.50</td>\n",
       "      <td>--</td>\n",
       "      <td>0.52</td>\n",
       "      <td>--</td>\n",
       "      <td>0.88</td>\n",
       "      <td>--</td>\n",
       "      <td>0.69</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clean &amp;amp; Jerk</th>\n",
       "      <td>0.91</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.56</td>\n",
       "      <td>--</td>\n",
       "      <td>-0.60</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>0.55</td>\n",
       "      <td>--</td>\n",
       "      <td>0.59</td>\n",
       "      <td>--</td>\n",
       "      <td>0.95</td>\n",
       "      <td>--</td>\n",
       "      <td>0.67</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Deadlift</th>\n",
       "      <td>0.91</td>\n",
       "      <td>0.88</td>\n",
       "      <td>1.00</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>--</td>\n",
       "      <td>0.57</td>\n",
       "      <td>--</td>\n",
       "      <td>0.52</td>\n",
       "      <td>--</td>\n",
       "      <td>0.85</td>\n",
       "      <td>--</td>\n",
       "      <td>0.72</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fight Gone Bad</th>\n",
       "      <td>0.50</td>\n",
       "      <td>0.56</td>\n",
       "      <td>--</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.66</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>--</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>0.57</td>\n",
       "      <td>--</td>\n",
       "      <td>0.57</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Filthy 50</th>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>-0.66</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.66</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>0.65</td>\n",
       "      <td>-0.58</td>\n",
       "      <td>0.51</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fran</th>\n",
       "      <td>-0.54</td>\n",
       "      <td>-0.60</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>0.66</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.61</td>\n",
       "      <td>--</td>\n",
       "      <td>0.69</td>\n",
       "      <td>-0.69</td>\n",
       "      <td>--</td>\n",
       "      <td>-0.61</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grace</th>\n",
       "      <td>-0.51</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>--</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>--</td>\n",
       "      <td>0.61</td>\n",
       "      <td>1.00</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Height</th>\n",
       "      <td>0.50</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.57</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>1.00</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>0.52</td>\n",
       "      <td>--</td>\n",
       "      <td>0.78</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helen</th>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.69</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>0.59</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>0.52</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max Pull-ups</th>\n",
       "      <td>0.52</td>\n",
       "      <td>0.59</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.57</td>\n",
       "      <td>-0.58</td>\n",
       "      <td>-0.69</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>0.60</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Run 5k</th>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>0.51</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>0.59</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>--</td>\n",
       "      <td>0.56</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snatch</th>\n",
       "      <td>0.88</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.57</td>\n",
       "      <td>--</td>\n",
       "      <td>-0.61</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>0.52</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>0.60</td>\n",
       "      <td>--</td>\n",
       "      <td>1.00</td>\n",
       "      <td>--</td>\n",
       "      <td>0.63</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sprint 400m</th>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>0.52</td>\n",
       "      <td>--</td>\n",
       "      <td>0.56</td>\n",
       "      <td>--</td>\n",
       "      <td>1.00</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weight</th>\n",
       "      <td>0.69</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.72</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>0.78</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>0.63</td>\n",
       "      <td>--</td>\n",
       "      <td>1.00</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Back Squat Clean &amp; Jerk Deadlift Fight Gone Bad  \\\n",
       "Back Squat             1.00             0.91     0.91           0.50   \n",
       "Clean &amp; Jerk       0.91             1.00     0.88           0.56   \n",
       "Deadlift               0.91             0.88     1.00             --   \n",
       "Fight Gone Bad         0.50             0.56       --           1.00   \n",
       "Filthy 50                --               --       --          -0.66   \n",
       "Fran                  -0.54            -0.60    -0.50          -0.64   \n",
       "Grace                 -0.51            -0.57       --          -0.54   \n",
       "Height                 0.50             0.55     0.57             --   \n",
       "Helen                    --               --       --          -0.63   \n",
       "Max Pull-ups           0.52             0.59     0.52           0.57   \n",
       "Run 5k                   --               --       --             --   \n",
       "Snatch                 0.88             0.95     0.85           0.57   \n",
       "Sprint 400m              --               --       --             --   \n",
       "Weight                 0.69             0.67     0.72             --   \n",
       "Age                      --               --       --             --   \n",
       "\n",
       "                 Filthy 50   Fran  Grace Height  Helen Max Pull-ups Run 5k  \\\n",
       "Back Squat              --  -0.54  -0.51   0.50     --         0.52     --   \n",
       "Clean &amp; Jerk        --  -0.60  -0.57   0.55     --         0.59     --   \n",
       "Deadlift                --  -0.50     --   0.57     --         0.52     --   \n",
       "Fight Gone Bad       -0.66  -0.64  -0.54     --  -0.63         0.57     --   \n",
       "Filthy 50             1.00   0.66     --     --   0.65        -0.58   0.51   \n",
       "Fran                  0.66   1.00   0.61     --   0.69        -0.69     --   \n",
       "Grace                   --   0.61   1.00     --     --           --     --   \n",
       "Height                  --     --     --   1.00     --           --     --   \n",
       "Helen                 0.65   0.69     --     --   1.00        -0.64   0.59   \n",
       "Max Pull-ups         -0.58  -0.69     --     --  -0.64         1.00  -0.50   \n",
       "Run 5k                0.51     --     --     --   0.59        -0.50   1.00   \n",
       "Snatch                  --  -0.61  -0.57   0.52  -0.51         0.60     --   \n",
       "Sprint 400m             --     --     --     --   0.52           --   0.56   \n",
       "Weight                  --     --     --   0.78     --           --     --   \n",
       "Age                     --     --     --     --     --           --     --   \n",
       "\n",
       "                 Snatch Sprint 400m Weight   Age  \n",
       "Back Squat         0.88          --   0.69    --  \n",
       "Clean &amp; Jerk   0.95          --   0.67    --  \n",
       "Deadlift           0.85          --   0.72    --  \n",
       "Fight Gone Bad     0.57          --     --    --  \n",
       "Filthy 50            --          --     --    --  \n",
       "Fran              -0.61          --     --    --  \n",
       "Grace             -0.57          --     --    --  \n",
       "Height             0.52          --   0.78    --  \n",
       "Helen             -0.51        0.52     --    --  \n",
       "Max Pull-ups       0.60          --     --    --  \n",
       "Run 5k               --        0.56     --    --  \n",
       "Snatch             1.00          --   0.63    --  \n",
       "Sprint 400m          --        1.00     --    --  \n",
       "Weight             0.63          --   1.00    --  \n",
       "Age                  --          --     --  1.00  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[:,attributes + ['Age']].corr().applymap(lambda x: '--' if (x > -0.5) and (x < 0.5) else '%.2f' % x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Age**. Interestingly age is not strongly correlated with any other attributes - CrossFit might not be a young person's sport!\n",
    "\n",
    "**Weightlifting**. Every weightlifting-related attribute - Back Squat, Clean & Jerk, Snatch, Deadlift - are all very strongly positively correlated with each other, as expected. Unsurprisingly, athlete weight has a strong positive correlation with each of these, as heavier lifters tend to lift heavier weights. Athlete height shows a weak positive correlation with each of these as well - a potential explanation here is that taller athletes are able to bear more bodyweight, hence muscle, and thus ultimately lift heavier weights.\n",
    "\n",
    "**Fran**. Fran is an AFAP (as-fast-as-possible) WOD, and considered to be one of the ultimate CrossFit benchmark workouts. Interestingly, it has a reasonably strong correlation with almost every other attribute. Note that a low score on Fran is better than a high score, and hence a -0.50 correlation with Deadlift implies that as an athlete can deadlift heavier weights, they can complete Fran faster. The strongest correlation is with Max Pull-ups at -0.69, which is noteworthy as pull-ups are one of the two movements in Fran."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#pd.tools.plotting.scatter_matrix(df.loc[:,['Age']], alpha=0.2, figsize=(6, 6), diagonal='kde')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How well does the distribution of benchmarks support previously postulated standards for weightlifting, such as Mark Rippetoe's Starting Strength table of standards?\n",
    "\n",
    "Mark Rippetoe is the author of Starting Strength, a bible in the weightlifting community. Included in the book is <a href=\"\">a table of standards for the press, bench press, squat, deadlift, and power clean</a>. Per lift, the table gives weight values for bodyweight and skill level. The footnote reads, \"These are performance standards, not norms.\" The table for the Squat is below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Cat. I  Cat. II  Cat. III  Cat. IV  Cat. V\n",
      "114      78      144       174      240     320\n",
      "123      84      155       190      259     346\n",
      "132      91      168       205      278     369\n",
      "148     101      188       230      313     410\n",
      "165     110      204       250      342     445\n",
      "181     119      220       269      367     479\n",
      "198     125      232       285      387     504\n",
      "220     132      244       301      409     532\n",
      "242     137      255       311      423     551\n",
      "275     141      261       319      435     567\n",
      "319     144      267       326      445     580\n",
      "320     157      272       332      454     593\n"
     ]
    }
   ],
   "source": [
    "SS_WEIGHTS_M = [114,123,132,148,165,181,198,220,242,275,319,320]\n",
    "SS_SQUAT_M = [[78,144,174,240,320],\n",
    "    [84,155,190,259,346],\n",
    "    [91,168,205,278,369],\n",
    "    [101,188,230,313,410],\n",
    "    [110,204,250,342,445],\n",
    "    [119,220,269,367,479],\n",
    "    [125,232,285,387,504],\n",
    "    [132,244,301,409,532],\n",
    "    [137,255,311,423,551],\n",
    "    [141,261,319,435,567],\n",
    "    [144,267,326,445,580],\n",
    "    [157,272,332,454,593]]\n",
    "df_squat_m = pd.DataFrame(SS_SQUAT_M, index=SS_WEIGHTS_M, columns=['Cat. I','Cat. II','Cat. III','Cat. IV','Cat. V'])\n",
    "print(df_squat_m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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20W1otMbLq1BvrEW9EVByHPYXV2HxxH5gADgA245VYES83me7WgUn7VFRoMXy\nSulWbeVEQwRwGDgrdpzGm9M0CFN1jw/WzhyPKpUK0dHRmDVrls/jupwxct1112HJkiXYtGkTxo4d\nixMnTmDHjh247777xGOuvfZafPzxx4iLi0NMTAzee+89REVFYdSoUQAcAa0TJkzAhg0boNfrodVq\n8fbbbyMlJYUyaQiCILoYjiBPNMaAuL/Qg5XAVQMjsfyb062Kx+ioOI7mYlwI/+hyxkj//v3x2GOP\n4d1338VHH32EmJgYzJo1CxkZGeIxN9xwA8xmM958800YjUakpaXhqaeeglLZpM7MmTPB8zxefvll\nWK1WjBgxArNnzw6ESgRBEISf+JtW3VHp2FQAr2PgWE8LhOggzp07R9M03QjSrXvSGt2sjEOtFTBa\nBASrFQhWAaouGjDY2nvWHVZ6dcpYLwBaBbqkjG1F6r55Zuk4PS5dqe5JcwRimqY5upxnhCAIojms\njMPB0nq8tKspbXNhZiJGxGm7rEHSUrpDka/uIGNHQQXwOoYuV/SMIAiiOWqtEA0RwDFn/9KuItT2\nAOdlZ6/06k9hsIt9NVoqZNb+kGeEIIhuh9EiSBfCstgRqe7eQYSdGSDpr4eDgjiJ9oY8IwRBdDv0\naoVk+W29umv9pDm9DkdLLrTY6+CrtHh746+HozNlJC4OaOQQBNHtCFEBCzPdV0NdmJmIkC5Uc8rp\ndZjzUT7u+ygPcz7Kxy/l9c0aJJ25QrAvD4cvdErp/teRr53wExo6BEF0O1Qcw4g4LV6fmgqjxQ69\nmkdIF8um8bcceWcGSPqbpmqyAbknK70KkQ0y9G5zqXXi4oQ8IwRBdAgdvWKqimOIVDMkBHOIVLMu\nZYgA/nsdgM4LkPTXC2O02mFzUYPjAJsdLdKNIKQgzwhBEO3OxZz66aQ7FMfy1wsTouYxLilcrIqq\nUXCYn56AYHXX0Y3oXpBnhCCIdqcrpH52tGemOdoS+9GZsvvjhREYsKZx4TrAcX/XfH8G9hbYIf7o\nFuh7SXQ85BkhCKLdCXTqZ1fwzLh6HRoEIKiFVUq7guzNYfLz/vqjW3foD6LtkGeEIIh2J9Cpn13B\nMwM0eR3SekW02OvQVWT3hb/31x/dukN/EG2HjBGCINqdzkxPlaItwaOBpjvI3pbA19bq1h36g2g7\nNE1DEES7E+j1O7pD8Kgc3UF2f6eg/NGtK/QHYwx79+7F1q1bUV5ejpiYGFx//fUYO3YsOI7iV9oD\n8owQBNGTGa//AAAgAElEQVQhBHL9jkB7ZtpCd5Hdnykof3QLdH/U1tbizjvvxM0334wNGzbgiy++\nwIYNG3DzzTfjzjvvRG1tbecI0sPhGGNdw9Tu4pw7dw5Waw9YhcsFWoq+e0K6OXAuYW+02qGX8Lw4\n93eFlVVbe88sjEOd1bEGj16tQLAKUAA+9QWa75OOoLW6WRmHWitaVayu6RwBwY390ZF1ZcSxY2N4\nePYd2L0rV/bY7OxsbNy40W8PSXe4Z21BpVIhOjq62eO6mK1NEATRPC3JsHB8uaMxu6P7fHNZGYdD\npfXiqsQaBYdlOckwWuxYlVsoq293yDoRGIcjfmTTtPactsro7MdzBT+jwIchAgC5ubnYt28fxo4d\n26a2uuo96yxomoYgiG5HT86wqLVCNEQAh24WgYmGiHObp77doU+6QzaNa3sXftnVonO2bNnS5raA\nrnnPOgvyjBAE0e0IdB2TjsRoEbx0szM0q6+/fdKZ0wRGqx0jeoXg+jQDGACeA7YcrYBVYKgGJylD\nZ99rVxmXbTPjXAvOOXeuJUdJt9VTx3FrIWOEIIhuR1fIsOgo9GqFl248h2b19adPOnuaQKqM/MO/\n64uqBhue2nZSUgZdJ99rVxmP12tadE5LYiKk6MnjuLXQNA1BEN2OQGdYdCQhKmBZTjKW5yTj+auT\n8UJOf4QHKfDH8X196utPn3T2NIFUGflXvytGvc0uK4OCA+anJ7jpNT89AXwHOQ5cZYwYltmicyZP\nnuxXWz15HLeWi1BlgiC6O4GuY9KR8IBXsOofx/dF8YUGLJ7YDwxAn1ANwtXu+vrTJ/5OE7jW3bhw\n4QIiIiJaVHdDroy855o2rjLUWuzYXVgl6s4B2JpXgYEGLUKU7W+RmCxNMoYkD0doyijUHPtB9vjs\n7GyMGTPGr7Z68jhuLWSMEATRremsn+3OSi+ts8ErWPXlb4uxeGI/LNl+ChoFhzenpUq+sFqbQaRX\n8bjr0liMS4pAg82OIBWP3acv+JwmqK2txdy5c5Gb655lsmHDBmRnZ2Pt2rUICQmRbU9qWsLTy+E6\nVaFX8ThYUov9Z2o89vdukY6tJchFRo7j0H/GEpx+dzmq8g94HevUty2Fz7pr1ld7Q8YIQRDdjs6O\ndbAyDgc90m0XZiZiRJy23Q0SOW8Fg8ONvyirb7u58YOUQN9wLR789JibXkEy12eMSRoiTnJzczF3\n7lzZuhvOaQnnfQtS8ngiKxFaJScaAJ46Sp3Tnn3gid3O8EB6Av7WOFWjDw7B3976NxoKf8G3X27B\nuXPnEB0djcmTJ2PMmDFUgbWdoKJnLYSKnnUvSLfuSUt1q7ZymPNRvtcX9pvTUhGmav+ftEoLh/s/\n9m7v9ampiFTLt+fMVKkXAG0LS6bL6bb2plQoed/XaK33prV6ff/997j55pt9yg8AH374oWzdDali\ndAB8FqjrzKJn1VYO/9h/FpNSDOK00LZjFbjvit4dMrYCARU9IwiCaAc6Pd1TIt3WLDAYLXZEqqXb\n89d7E6wEFmUniVM1Tu+BZ4yIazt1Nkf674nzrfPetFavrVu3ysrtypYtW2SNEblpCbmpis4uehas\nBK4aGClm/HS0JyYQFVi7ImSMEATR7dCreGQkhopfrzwHfJFf0aKUSH9+/PVqhWR7wWoe1Vbpa8ll\nqji8N/KyAEBssBKv3ZiCBqsjjsMmCLK6OA2e125I8SqW9tKuokYvh7xeUjEcenVTP7rKeLa03Gc/\nOfGsu+F6jTAND7PQVOperwI0Pvq/Jf3Ynig4hiExWrw+NRWmxpL1wSpAaTci/ruBAIDffnccTKGT\n1bGl44oqsDZBxghBEN0OnRLI7h/pVq9iYWYidM38ovntrVBJt2eyCnhky3HJazXnvZGTpX+UFifP\nm8X0Uo2Cw/z0BIRqlAjx0M/1RW0W5NuT897oVMDCzETRiAlS8nhsfF/oXIwlVxn/Vytj1Xjg6pZ3\nvcaDGQkIUvJe3pthcVpZg8RokdbL2EFeMDlPzPAo34Xj/BlXnW1odWWozghBEN0Ok827ZPpLu4pg\naqY+hr91Nepl2qust8ley5k54kpTloi8LBbBuxbHmu/PwCLhHHE1eIIbvRxy7UlhsgK5JyuxeGI/\nPH91Mp6ekITck5UwWaX7K3ToePFcnQZg7zj+6Txqg7nW3XC9xuAYvWQ/Gn2E4wXJ9GOQsmNeX51Z\nst6XwXqxQZ4RgiC6Hf7GjLT3eb7qYzSXBSJ3zQab/HZo3GV0TZW1Cna3LJAgJY95Y/vA5imkq14W\nAXuKarCnqMZt++0j4hGp5rzKt3Poh/v2fYjiQ3tlr+lZd8NVT6O19bE3ntktTr3sPvRqC3L3pd6H\ngeDvuKIKrE2QMUIQRLfD3x/x9j7PV30M14JWDQIQ5JFN40sWqe3Bam8ZXQ0egMP+YvfiYNuOVWBo\nnF5Wt+ZiRqTKtz+7+m9Yv+xR/LjPO71Xqu6Gq556lXTsjV5CNycqhbReI+Ll9WoLcvdF68PD5O+4\n6uy05a4Mpfa2EErt7V6Qbt2TluomMA6nqy2otzm8EwqOQ5AS6BfmiGmQCyQUGIdD5Q1emSrDY4J8\nzu3LnReq4fHUtlNuLxKpOAEpvTzjDJznD4nRotwkQKng0WC1Q6viYRXsiNMpms2mOVlZjxd3Nl1v\nYWZfDI+Vz6apsXE4WGIUp4WClDweGNsHI3rpEapkqLJy+INEmvEbU1OQ/8NOTLXOAADc/dV0XHvd\nNKSPvcKr7oarns9c2Q/1VrtXzMjQOC2CZGSU6ye5eAzXQNJQDQ+L0LqUYLn2hkcx9Nk9AIB3AKuv\n8dhcIGpT2rIjWDakA9OWnVBqL0EQRDtRY3Yvmb4oOwl2wGcaqB2AXs1jyZX9YGeOL3O1goMdgKKZ\n9kI17udplRwSw9R+l/KWKwVuA1BSY/F6YRt0WkkZnamyAuMQHqT0kJH3GRhY56PUeqiSky3fbrMD\nuuRhwDHHtjPDZkDXPxV28FB4eAJc9bTagXmbmowbZ8zIm9NSESQTsNmakumuhsTvh8YgKVKLP7ey\nUJ2sR8tu9NGT0uOxOTo7bbkrQ8YIQRDdDqmS6atyC/H61FSf2Qm1VmDJl6dkinx5t+P8yrbaIXpA\nXM9zFlnzt5S3VM2Nagsnm6Kr8ZHMUmuDuPKtt4zS5zRXal12eorn8OdvizEpFqKMvrJAnHqWmJhf\nsRV2OBaws9kdngc549E1kDQzOUKsLOtsp7lUZ095+8W2zIMgNx6by4qhbJomyBghCKLbIRcwaLS4\nB1zyHLDlaIX4sjNaBMn9UgGUrl/ZT0/s5/Ml6rpwXHl5OWJiYlq0cJykbn4UWHOcJ90ndRb5F31z\nMQvBSmDFpGSv6YeGTgzYbE0pftdxIRcI3Fw/ysE4NSoHvw4AsHEa1Fk5cSrQKkgbWc2lH3d28b6u\nTJczRv773//iww8/dNvWq1cvvPLKK+Lf77//Pnbs2AGj0YiUlBTMmTMHcXFx4n6r1YoNGzZg7969\nsFqtGD58OO69916EhYV1mh4EQXQcci+1UI13wOX89AQx+DNUo5DcH6rxfhm6frVyjdeXeonW1tbI\nLhyXmZWNVX99HWfq7NA3xiyoW1BgTS6o1FlgLUTNQ2CO8unOuBiNkpMMDtWq5AuzuRb4co1ZUHAM\nAuNgEoDqBgF/2tlkCCzKTkJssK+0Zd8Bm1LVZV0DNj2LhwHSadVSHg7XcRGklB4jvoJlfSFwKpRF\nTIFVYCg+Z8aq3BNinzyRlYSMxFC3rKSm9OP2D6juiSiWLl26NNBCuHL06FHU1tZi9erVmDx5MiZP\nnoyJEydCrXaMuk8++QSfffYZ5s6diylTpiA/Px9bt27F1VdfDZ53DNy33noLBw8exIIFC3DVVVfh\n+++/x759+5Cdne23XCaTCXZ7z8r91mq1qK+vD7QYHQLp1j1pTjeBcai1cbAKDEPjQ7CvqBoCcywg\n92R2IsK1KizZ3jSdIjDgp7M1mJxmQJACqLdzeEZq/2DHflcqzQyfHq0AAJgsAqYNjcVPZ2vc2usT\nrMSce2fLLhxXVFiIj3IPYK92BLYdO4/+Bj2ig1VQ+PjobRA4pMbocaC4SbfHMhMRHqTE/ZuOobTW\nArVCgSXbT+HToxX4PP88BsXoER+sgl6jwqrcQnx94gL2FFZhxsh4ROqUuO/jY27HxuhV4DlHfx4u\nr8eiL05iS14Fth07j5QYPQx6FQ6X16PGYseKHYVu/bWvqBqT0wxIiwnGv45HYrspEyXojyeyk5AQ\novLKMHKFgUO9zY70pHBk9Y9AZnI4gtU8IoIUojy/lNfj8c9PivIOjtXDaLHjbI3ZZRwAVw+KQqiH\nh0PFcxgUo8feomoMMOiQmRyB/S79uDAzEX3DfPe/4/qOcfZbTQMExkHBO/rp8c9PYmTvUO8+Ka7G\n41lJ+Pp4pdjWA+kJiNapfBbi43kO/Q16Lxn7hDYvY1vozN8QhUIBvV7f7HFdzjMCOIQPDQ2V3PfF\nF19g2rRpuOyyywAA8+fPx5w5c3DgwAGkp6fDZDIhNzcXDz/8MAYPHgwAmDdvHh555BGcOHECAwYM\n6DQ9CIJoPzwzFiK0SvztxhRY7Uz84i+r9+329jWVEe7hFnf9anXGVCy5sh8itSoEqx3t7d+7R9YQ\ncVKVfwB1p34B1394i2IWGIAzVfVu5eB3n74ArYqHWWC4Ps0genac8q/MdVxXyoOwdmqqbEyCXMyC\nM/bG1/TU0NgQ9Lv+fjQIwMwWLgJYZ/MVeyMtz592FmHVtQPcptbkSv97Bsu+9cNZr5TgQYbeUPuI\nx5Cqproo22FomAXH6slSfVLTYGt1+nGdS9E51/P6R/VuNq6lp9EljZHffvsN9913H9RqNQYOHIjp\n06fDYDCgvLwcVVVVGDp0qHisTqfDwIEDUVBQgPT0dJw6dQqCIGDIkCHiMb169YLBYEBBQQEZI8RF\nhb+LcPm7Smpz7cntd24vPVsJjYKDYGdQKTi3800CUFJjFdNQ77o0FlnJkRDsdggMsALQNbNmjZzr\nXsqd7hlPkRqtQ68QDUxWQQyibOnCcZfUHsTSm2/D0TIjjBY7wlS8bD/ZBIbfJYVDwXPgOMfX/oT+\nkSits2B5TjJ0KoVMLIR0rEm9xY5lVydLx9BY7XgwIwGDY/QwWh1rxThkFJqdnrLB4RWw2ASoeAVs\ncA8qlbrXRqsdvx8ag8zkCDTYHIbWrpMXfBqLI3qF4ILJ6jZV9ERWIuQcB67BslIF3e68NF4yHsM1\nWPmr400GgnMMTUoxYE9RjWyfROlUKK2zgDGA5zhMHRLdbL0Qo0VAUoQWscFqsT+SIrR+x7V0Z7qc\nMTJw4EDMmzcPvXr1QlVVFf773//i2WefxerVq1FVVQUAXrEfYWFh4r6qqioolUrodDrZYwjiYsDf\n9TJaEzDoq72MxFDcdVkv2O0MejUPnVI67XZIjNZr+wPpCdhfXIWrBkaK8ppdyqTPGBGLhHAt5jam\niTplvCRGiyyPNWQey0yEojG/VaeUWYtF4pfQ9SvbuSKuZ3ulZU0Lx+k0gPEtx//r7wFMTbMK2PHL\naZR9nI+FmYmI0PI+70uwmsOv5Q1u/T8/PQG7C6twsKQWj2clSsYnyMWaKBWcbAxNmIZHkJL30itU\n47jW1rwKr+qni7L6QqMEfpEYI841ZuTG3kCDFkmRWjHLxXl/QhpjdoIkYigmDzZg2dfunqA/7SzC\nP6amyo5FALLF46Q8Kq7yrrxmAK7o6x5X9EB6AsIb5/Gk+mTBuARUN9hEOVua2hsepJDsj/Cgiy9m\npMutTTNixAiMGTMGffv2xbBhw/Dkk0/CaDRi71758sMEQXjj73oZtVbpgMHaZmr+ubZ3RUIorugb\njoc+PYa5nxzDnI/ycbi8AV81urpd5am1esv5t+/PYFKKwU1es0t2RGZyhFg/wlXGBgFe2/+8qwjm\nxms0CNJrsTRIL4rb+JXtcM1L9Um4IUY81mwFbv6L45/Zo69UIRHiORZB/r5UWzk0CN5trfn+DK5P\nM8AsMLy4swh3XBovBpAGKXnMT0+ARuEwtFy3P5GViH/9WOJ1LWcldbNEWy/tKoLAHF6hgyW12FNY\nhSVX9sNfpgzCG1NTMCxGC5PMGDHKrGnj1NEic38sgkN3m51hYZa7DiEapWymii8UHBr7xb2fpGJa\nXOUNVitEQ8PZ1t++P4NgjRIaBYf9Z2pwoLgar04ZhFXX9MfiiUlIMejc0qrNgiO1t7lnzWqX7o+L\ncGmarucZ8USn0yE+Ph6lpaW45JJLAADV1dUIDw8Xj6murkZSUhIAIDw8HDabDSaTyc074nmOFLt3\n78aePXvctsXGxmLWrFkIDQ1FTytWq1KpEBkZGWgxOgTSDSgtuSD5I94gOOonyHGm+LxsnMCAuKgW\ntScV17AqtxCLJ/Zz+6I3CwwmmTgO59y8U94aoVr80pVP25Seqmiw2REZH4UzxRWya7H40u1/Z6T7\nJDPnOrz/7w0AAMEOfHhA+vzIYVkuMkrLXtUgYOFnx7H6+oGy/eH8/2qP+ISteRXoFxmEBpsda6em\nwmQRoFMr0GC1e+nq2qf/83Gv05Oj8VZ0MIwWx/RNdIgWWo0j2KKkuEKm/x1jRG7syactC3h063HR\no/bqlEGobrDBKjCEyHh8gpQ8IiMjpDscjvEoVdAtJUaPxJhIr2Od16+st0pPd1nteOuWS2C0CNCp\nePAcBwXPQ69WoKbBJt2PNtYhz1pb6czfR2dq+/r161FWVua2LyMjA+PGjQPQDYyRhoYGlJaWIjMz\nEzExMQgPD8fhw4eRmJgIwJHlcvz4ceTk5AAAkpOToVAocOTIEYwePRoAUFJSgoqKCgwaNMhnW+PG\njRM7xpOamhoqB9+NIN0ArYKT/hFXwOf5erW8e9vXea7tyQX5eZrzGgUHnUx7zrl5p7x6nhPTQoOU\n0rEhclMVwWqH7L7SZn3pJufyH5eRgezsbJ9BrKEpoxCcPMytLalr1ZgdLzQ5GTmX/7fZGZZsP+W2\n//4xvbG3qAphQUowAFUNNtlrOftUru91Kh71xloE80BwEADYUG+sRX1jEdLm+lFu7Mmdp1M3xcHs\nKarB//2vFosn9sOS7afwr1vSsGRiP4CDWOuEMQYV73scaxWcZEE3qfHvKq+1cbrEU0at0g5DxSYY\nADQYrgF4JfSNfWNRSuurUXAd8qy1lUCUg581a5bP47rcNM3GjRtx9OhRnDt3DseOHcNLL70EpVKJ\njIwMAMC1116Ljz/+GP/3f/+H4uJirFmzBlFRURg1ahQAhydlwoQJ2LBhA3799VecOnUKa9euRUpK\nCgWvEhcVzgBMVzf1k9mJzQbVhai83f0LMxMR0kxFSNf2nIaEKxoFh9hgtZc8ISpvOR9IT8CXx867\nyavgGIbHBDlKhys5ZDfGhjyz/RSWfX0a2f0joVM56li4XmtRdpJ4DTUvrZu6mV9C58qxnjIyBqxd\nuxbjMqXLBlyaPh5pdz0DjuPEtoIU3vo+kZWILY1pxArOW8b56QnYmlch6qNtfPm59qNOBa8+qTRZ\nsWJSf9kxYBOk9fK10q+TxzxkfCwzUdwnN/ZUMv1/tMy91LrTcA1S8gADzIIdy7526PX816dgFuzN\nhlS0Zvy7Hrs1r8JreueB9AQwmxmRR+9H5NH7wTGL2/m2xhWTvfpR8C1ksMyzFnyRVV8FuuBCea++\n+iry8/NRW1uL0NBQpKam4vbbb0dMTNPc7AcffIBvvvkGRqMRaWlpmD17tlfRs40bN2LPnj2wWq0Y\nMWIEZs+e3aaiZ7RQXveCdHPg7yJc/p4nZiQIDMXVZrfiVs5F4Ew2eK0xYmEc6hqzd/RqBRQcGutO\nuBf2cgbeVls5zJFYwO3NaanQKSEre6WFwz8PnBU9Ks5UyntH94aCk88CqrRwyCs3IjVGL06B5Jcb\nkRajR6TasVbLO9u+xV/ffg8NNZXQhkXiuXl3YuSoKxCkUoh6mW12qBQ8NArHV75VYOB5DvVWOy7U\nW7H5aAVmj+qFCqMF8aEa8Ty7naFBcKyiG6x0ZPK4ZjvxHLzWfXH2yRuNAbjOazkLrzn7XEqvlGg9\nFBxks6gqLRx2nijHdWH7YBEYTNHXYndhLSb0j0SEmsmOIee91yh5UR4VD6zdd9bLyzV7VG8oeccY\nuP9jb70cKdK+x6SZcTC6jCu9yjEd4Cujq85ib8xi4mGyCmJq9VX9gpC6z/FB+79xJ1DLdOI1BAbZ\nceVMWZYaW9VWDl+fqMS4fhFuadxXDohEmKrjXs20UF4LePjhh5s95pZbbsEtt9wiu1+lUuGee+7B\nPffc056iEUS3oi2LcKk4hkg1GtMLW/6j6EyrhAqI0ARJLm7muRaLlXE4VFqPF3cWouL4QdQc/hZJ\nmnrExcbiRMRIaJKGiV+1Ttnl4i6MVjtOVZplda5vjKHwjKOYPjIef9xSINtPagWgVvCY+7F71om6\nMZeV4zhkpI/FpaPHiIvURWqVKKm1uK2i+8DYPmJWzIpJyV6Lq81PT4DJKsBktYsvYGdbzpVtpe7r\n/PQE9ArVSPZJrbkpHsP1WodL62ER7DDoVSipMcPOgOoGGwx6FfLKjXhtzxnZLKoQFdAvXIF+BfcD\nAK7a+zkezEwRv+jlxl5ajBYFFWa3LJzHsxJx0yXReLpxzSAxo0ftGIdnjdKl1htsdsBH+quFcV4Z\nP49nOYrHOYNNPe91mArQKXnJbDKdskmGI+fqsXxXsbj/lckDRa+U814/Nr4vdCr4zJwyWu34109l\n+NdP7rEU6YnhF105+C43TUMQRPvgbzZNe+HMRInXcQhTMVkDqNYKrPzyKI68uQgF/3gUpd9/in25\n2/HJextxZO0fcfytJ2Ey1rnJ7kwBdcUZ1OhLZ21jHZJlVyfj+auTsTwnGRmJoVC5zNtL9ZNFJuvE\n0piF4yzmtfjLU3hmu+O/j2w5jkidCosn9sNfpwzC4olJ2F1Yhf1nahwBkTbmtbjamu/PICxIKdmW\nyUemyprvzyBCp5TsE9d4DNdrvbSrCKnRepTVWl2mQE6jrNaKwbF68VipLCpVYxl5J69OGYRhsU1G\ni9zYk8rCeXFnERoE5i2jyz2Tu9e+qJNpq94l+FnqXpts0vfa5HLMn78tdttfWW+TzNIySWSKuban\nl9FNp7r4Xs0Xn8YEcZHgaxGurkSd2Ya8fz2PmmM/SO6vOfYDTr6zDA02uyi7rzl6Xzor4B1Xkd0/\n0uuH0OllceJr8TpAvq9rzQKWbD+FqgYbFn95yi2Y0s6kg3z9bUu+T+wS1xLEuIw1Hmmsa74/A+fk\nvWu7rgiMQ965pnLiCzYfw6/l9RAY51NGOd08Q1Rc75kgE69jbyauxSQjg1ap8Nrm+kzIyV7vcozn\nfjtzBN4u2e4wRpdsP4U9RTWy+jrb8zeuqydyEapMEBcH3WURrryfD8gaIk5qjv0Ac9Fh6FSDATAo\nFTz2F1d5ldEeGqf3qbMA6a/etR4FtJq+vB3H+coeARzl6HUKO8aqvgMA7GwYB6VCKda0kKrayXPS\nlTxb0pbUfrk+GRLnvi6Iaxtyq+822Oxe7bpSZ3N4BybFNp3jWmZeTkY53Txrf7jeMwXPyd5rX+NY\nLgMqwqPCneczISe71sVboVFwaHDxlLT2Xoq6uRTW85zOvNggY4Qg/MTfUuudRXPLw3cEUn0CyAfw\nAcD2z7a06NoDKn9CsPJWAI7ASqk5er0KeGXyACgVjhobwRoFWOMXtMA4+S9ViyC+NMYlhmHGpXEw\nWexQcDx4zpF18kJOfzQIdjG9VK2AmG4brASezIzDpGPPAwCuKvscC7IGIClcg7dvToPRIuD1qamo\nabBhwZbjGJcYhrhgNV68biDqzDZsPloBFc/hzsviYbLa8Y+pqbDZAZNVcKxJYxOggCNw1GSx4283\npqDWIqDWLIiprg02O65LNcAOiCXJr0s1QAngrUYZ9GoFBMEOXWMWBwOTTJG225v6VCqLymi1Y1hc\niGgLPHtlP3ySbxLLusuNPb0KeDwr0S2O5vHMvtAq3VfbdR2nNsGOW4bFQttYN0Wr4nHLsNhmM1Wc\nniLXSqnzxvaBTbDLtuW8lysmJYtrICk4DkFKIFjZZH08Nr4vlu86J15Dq+S99HKOx5Y+g13nlyMw\ndLlsmq4KZdN0LzpaN39LrbcHrdHNaRx0xleXVJ9IBWl69tOse+7FV19+AQBQ8MBNlzuut+n/HIXE\nnEzIuRZ/eu0N6NU8VDxwvt4GtVIhZiFYbAKitEr8Wu4efPhYZiLOVNUjOVKLpAgt7pPIzPjH1FSc\nqTZDr1ag0mT1KsXOcQ4Xumcw5OBoLXQKx7Xstnr02e3ItsgfcwJqjQ6HJQIhB8dokX+u3m2tleU5\nyaizOPppRK8QjEsKF6dPNAoOy3KSYbR4B7s6g2GfyErCIEMQ8s+5t7csJxl1ZsGtrYWZiRge54j3\nsNqBo+XeMqYatLAyyGZR1dg4HP7fOdxcOBwAcGXZZ7h37CCM6KVHqLLJ+PMcezYAxVUWNDROzTg9\nCueMVvSP0sHOmJfBWidwyJOQMS1Gi2CF/FhuLnNK7pkQGIdD5Q1ufb0oOwkjouzi/XVm0zivoVMC\n5SYBSgUvjkebYEeczjElJPcMBup3pCtm01DMCEH4QaCDQ1tKS4NI2wOpPpEK0vTspyiXtH2NCvjv\nAsc/jccX+dFalVhaPu9cA/5zsAx/+CgfD20uwB8+ysejW09IllL/864ijOsXgZW5ReA54OHf9XWb\no3/4d33Bc8Dyb07DaBEkS7EPjtXLBF42yefat2EqBpPVvfT8kiv7IfdkJcwCROPAeS2z0NRP16cZ\nvOI4LIJ0sKuzRPyfdhbCavfW3SIwr7Ze2lWEOqsjvVeuHLyVAZFqJpvObbMDP5ypFv9elJ2EfcVV\nsLkYj1Jjz2gFnv7SPdB38ZenMMCgw0OfHoNexXuN0+aCh+VQcMCYxjVmntl+Ci/sKMSYvuFQcPD5\nTNUB6EcAACAASURBVNTZ4NXXq3ILUct0KMk6i5Kss+CVWrdrmGzAI1uOu43HR7YcR53NvR+ClY7r\nl5gYqq0carvJ70hnQNM0BOEHvoJDL7aUPCdS6bZyQZqu/ZSVcx3e27ih2euHDc0Uz//TTunS8rLl\n4Bvvl9lmR7BagSVX9hO/zBkDzDaG16em+pzGkQsqlVtd1SbYJRdcswm++4lBOkBSqn3m8v9SsssH\nyTrk9hUs62vVWJtgx+UJYUCh4+9VuYWYPXZQs1Mncv3oXHdI6vnxV8YasyBZDr5fpNbnM+rPs92S\nc6S8IC9eJ136/2L8HSFjhCD8IBDBoU63d2nJBWgVXLtPubQ1BiZI5V2iXauSDuBTKXhUWx3z8+My\nMhCeOhpV+TILu8C9pDrgXVr+ioRQTB5sAMdxeCEnGZuPVoiZKxoFJ6YCKxW825o5zv3OAloKTi54\n1HdQqRRKBY8Koxmv3ZAiLg+/+/QFKCWCbF0DIFsT7OpaIl6vVnj1v9Q2R9n8xmBYtQJ3XRqLcUkR\nbjLq1Y5CXnLjQang8f3/LAi95DQYgIVDHNdtNqhUpr3gRjmlnh9/+t55nlQ5+PvH9PZ9nh/Ptl5i\n7H+RX+F2jpTnsNZs6xZB5p2BYunSpUsDLUR3wGQywW7vWimRbUWr1aK+vr75A7shHa2biucwKEaP\nvUXVEFhTSl5CiEpyVdC24vyqevzzk/jk13P4PP88BsXoEaNvn/Zcr//p0Qq/rm9jHEI0KqzKLcTX\nJy7AbBNwRd8wZPWPxO+SwmC0CDhvsmJ+egI2/XoObx4ocbQRrMKIjAnYse8nCFVn8fQNjuut+BSw\nCsDocVmI/v2TYAq12JZGweHW4bHYXnAel/cJxbikcPx5VxE251VgT2EVfj80FnbGcN5kxWOZifi1\ntA6Z/SMRqlFic16Fh+5AzqAohKo5KHgO/Q167C9uuq/z0xMQF6xGaoz79oWZiYjWq9C4sjysdhvC\ni/8KACiOXwCVUgWLHVjy5UlszT+P7QXncU2qAVE6FdIar3V5n1DMHdsbBp0Kw+NDsK+4GjHBalyb\nZsABl7auHBiB0Qmh2Och19cnKkUd40JUCHbp/z2FVchKDkfvsCCsdNl2x6Xx6BOqgpIDGDhYBGCx\ni4zXphoQH6JClZlh3Q8lWLuvxGs81FkBjVKB1d8Wide9aUgsDDoV9D4+cS12Dja7d3sGnQqhQSok\nhKrgWnbDyjgIDEiL9e77XiEq1Nk4KHnO7RxxPILDoGi9Wz8+lpmI2BAVNHzTuK+1cag0M9jBQ8Vz\nUPOQfLZ7N7bneqzz2VDwHLRq976fMTLeTZ9KM8OnR93HntEiYOZl8W73tSN/R5x05m+/QqGAXq9v\n9jgKYG0hFMDavegM3TozOLTayuEf+71LZt93Re92KRstV1797zelQsWjRbpVWjixaugVCaHISAoX\nMxk0Cg5PZCUiQqfCewfL3LwWa6emYt2Bs8gZFIX8H3fhEe3dAIDff3YbLsu6ATdcNR6/lJrEOApn\nJdPUaC1K66yIDVbjwU+PScrOc4DFZke50SoGL/oqLe7Zz3qVAjwPhAcpkXvSu2x3dv9IRKodpdWP\nlJzH9ceHAnAEdD44PhU6FQ+DXu3mBcjuHymWRj9+vl7MwMhIDMVdl/WCkuew61Rlk/dAyWN34QVk\n9Y/E2Wqzm1xqBQ+dioda4Yit8NRteU4yln0t7QlScL5Lrd//cT4eSE/AnsZCbc5y+2Eq5navpfqx\nJWNEqr03p6WKcRVGix08z+FfP5bAZgcmDzYgWK2AYAc+PlKG2aN7Y+7H+bJVYivMHN76wTuA9Z5R\nvWHQMJ/Bo85y++KzrQJ+9RFo6mt5AufzKXfMut87yvV3ZmpvVwxgpWkagvATqdLmHYVVYJLxB1aB\nAe2wqJbcnPfZGjNe+OZ0iyL8XeMBrk8zuE2HmBsDKRdP7OfmNnfGYzhLtAdx0XiksbDnA088gyVf\nl2KilUnO/SdGBGHJ9lN4/upkSdnrrY4y6A+kJ+BAcTWuGhjpI92Tif3gWi7+ioRQXJ9mgEbBS5bt\nHtM3HFA71nh5dXcxrnepu/HSriL89YYU0VByZvaAOTJUBMaJhgjQtFrtmhsGwaDXuJ3njDVxXakX\nAF6/KUV8+Z+pb3nMTq1ZwMLPjmP19dIxC844jb99f0a8Z66xDPW+CoP5iOPwFf9hFhwr5v5S2eD2\n0ncaRIu/PAWNghNjhW4fESf2s8MIcm+rwSZf+h8aTjYI/c1pqThV6W54/PWGFNljw1QtixmRS3fW\nKZy/JR3/O9KVIWOEIDoZf2IzeJ4TX6AAxBfF61NT0R4/YHLz5By8f3jl0LnEJ4QFKX0GXLq24RrX\nwNtNQJ5jX6RWJf5oS839zxndG29MTYWCd1++3TV+5LUbUlBnETB0dC+EqBxfuxVGM167McXNw6GM\n06PSAgh2O96cloqdJy/gxPl63DY8FnqNAlaB4V83p0FA06JrNQ02aFWO2BejRUC1LQijzn7TpJzA\nUFVvFY0opzdrQFRvVFsd9UJG9ArB9WlN3q4tRyugVPA+7rV73+lUTbEdUrEVcrEmQSoeI3qF+IjH\nUIiGWLhWiTempWL36QtiLEOQzHjRusQ6NC2UJyBUowCDfAyRXu24Hs9zXi/9v31/BismDRD7KTZY\n7YgvcZHRaBGg4BRuz5JOxUvGpzh1kDMg6ix2qBW8GNDsXODQl7Ghb6YtALIFzgQA1RbOayHDiw0y\nRgiiE/G3roDPSpk+vkRbitRX27yxfbC1Mb7CLDh+vH1F+HMAshoLka2YNEDypRMfonYrOPXY+L5Q\n800FzDi7CVf3chyvajQylDwwPz3Ba5qG54AHPjmGEb1CxP3OGh3OqQnnl/VHh8tw1cBIpBi06Buu\nxYOfNHkdFmYmQs0D93zYtDDdY5mJuGpgJI6fr8eiL07gwYwErzojjpgRJe7+bz7+dmOqpL6hQUo8\nvLnATRabwHD/p8ew9qZUjEty93bNT0/w6XXw7Dutsmkhtn9MTcXCzERRxiAlD7WCwx/H98XLjWup\nOPtOsDNkJIUj92QlHstMxJ9dznlsfF9UN9iQ4SHbwsxEaBvfGEEKeLX12Pi+0DjjZxgnLjbnWjfl\n90NjJNvTKBzjT26cK3h4yWKx2b1kdH2WFBwc9/pT93vtjOGQq9AarOZRUuO+UOETWYnISAx187K4\nBppqldJtaT3esJ7eVEvjIpGe42p4nPaiM0jIGCEuKgJdNdWXa9iX18H55ej1Reny5dUW3Vy/2mot\ndlgEO+x24Lo0AyYPNuCL/Aq38uhSMEB8yfCctAFhtTOvst79o3q71JHQYtTZbxxxBAqd+PKODVG5\npeMGKXis++EszAITPSZLruyH+BAN5m3Kd+tf51TD8m9O4/WpqZI1K16fmuq27c+N25z6DI7RY67H\ndV3Ps9rtXi/ZxzMT8e+ffpP0cJgFhgsNNsl1YV6fKm3YaFW8ZN85xxNDU10T5zGf/noOs0f19kpl\nNlnsovdlxohY0VMUolHgtxozas2Cl3fGdTrELHi35ZRHr3B4oJz97Dpllxqjx7ZjFZLnDYvRos4m\n7cmpc5neccqydmqql4yuz5LApOuTOD1MCpkxKnXen3YW4bXJibih7lEIDFhZ8zTmjE0Wg0ylFuWT\nmz5yxd/zeiJkjBAXDYGsmurE3/okzZV2l9JtUVZfmE4exOefbUF5eTliYmJw/fXXY+zYseA477ac\nX212xqOkxiy+WJ2eAg7urvfgRpeyM3DQNWak1iJd4yFMq8QzHnEPt4+Ik5yuMFntqDCacbZWiWPl\nRmT2bwoe5RhDUoQWMy/rJbrFd528gHCX6SGnC9/p2h/RK8RHzILgtc1VH6PV9+J19VY7kiOC3Fz7\ngp3BZsf/s/flgVWU5/rPbGc/2TcC2bcTFMENCiIBQUAWgSDeWqr251JFaLWVRZFoy+KKCqJCtVpx\nube9VauCgohCFEToLQUVSCAkJMiShSwnOetsvz/mzJyZMzMhRtxq3n8Ic2a++baZ+b73fd7nwbLx\n+bp2DcuKA0MShmWa4VrU60CCkIjHfKpQjy/Ma0jH5HMCrIA0lwUsJ4KmJEDohJIU5d6v7WvEa/sk\nLMzDVxWAF4FEu3GYzRcW4GJI+FQ4H+1Y9tPxl4jQcqh0d52LJnTzfGFZNjbEZKHEjo/6eFdYgIsm\nz8pP0hkSTHhIbIbzked4jLF9LLXjorV4u7odRSl2uOne87X09rr/ROvVYqSyshKlpaVIUzEnqq2p\nqQmHDh1CWVnZN6pcn/XZubTeeiXOpfWWn0TtuQjykptcQ5kd0za/rwvXz/6Fjrtj/fr1GDNmDNau\nXQu32214L7WHA9B6CvYZuJTlTAaHCn9AAIY4j6kDUzT3slIE4qyUYbiCIIC8JAey461Y8WGd8sEE\ngFf/qxS5SXYdODTBJtVhSKZb58KfNyILcVZzjERsveyq9ri65boAku00Dp8JaBZwz880DsO4LSQu\ny02A14Rjwkjw7kiLD3VtFB7ZrqWDT7CRyj2eKze5n5VUsjguy4nDLy/qBzoGZyPfm+VFxYNkOE8t\nJOraw0h1WuCmWCyOfxAA8EDrvSAoq4a/xIg3xYhDRc0Zop7nXWEBrQEWA+Ks2HeyUzc+ZniX1gCL\npi4BOYn2bu9lY4yxSHOH9zfsR5c1ujhY+mEdRNIBB9Nf1151Wa4ecKH0hkPlP9F6xTOyaNEiFBYW\nIjs72/D3/fv34+mnn8asWbO+af1+MNbHM/LjMqO2GeX586LEMeH+jtgOvwk/iQgCYQFgRYAhAQsJ\n5Rp120RRRM3L96PDRAn32LFjOHDgAGbMmGHoIWkLinjbhIvj/i21youTF4HdDR0YX5ICOyVxSAzJ\ndOOKwkQwFIHp56WiPcDieEdI8uSMyYXLQqKytl3T9jgboyt37wkvri5NxeLNNZjkScHEkmS0+sMY\nlZeA31yWBYDA4s1HNdfsaejAJE8KhmS6cXl+Av74gb7MyaUpyE20Y+8Jr4avo5/bgveqzmiOJdlp\n5Cc7sPeEFxOKklCWn4iZg9JwZVESys9Pxai8RDgtJN6rOoNJpSn4/FQnbv/ZAFxZlISrz0sFTRKo\nMGjX5NIUPLClFt4gj5mD0jV1uevybGTGaflCdtV34NZhA7Dk/aO6siaWpIAXRXQEeZyX4cLSrXW6\nc67ypODNA80AgOMdIWw90opReYkoSXNi7wmvwnUy2ZMChiJxeV48khw0igw4Oj4/1QlRJJAZZ0Fx\nMo2rvPcgn6nHXwOzcVdZAdJcDPycxL+RE+lnb4jHNZF2qv+Wy11QloN0V5T7QwrDSQv3U10srAyF\nK4sSMf38aN+PLUyEy0JiYLr2WZo7Igtbj7Ti9S+aMOP8FJSk6vlJsuIljhUfC+QmOTR1mTsiC6ku\nC9452IybLu2PMQWJGF2QiO1HW3FJph0pX0k8MjnDlmB8SRrSHRRIQvIYDu4nzf3RBYkYV5iEUXkJ\nSHLQSruMLCwQZ+Wv+Tbsh8gz8q2EaYLBICjqW+zJPuuzXtj3wZoaa72VDD9biEndts7a/fCaLERk\n27ZtGz777DMMHz5c95vDBJ9iZ8huXcohToA3xGP1jgaljgtH5+BXF2fCShNKSCm27Sd9JhTskdCI\nnF78xJQinOoM4zdvVeOxbmi0u8I8xM6waV2NXPMFyXbdsZJUh+KhYCgSLR0h3LOpRuuJsdN4fqYH\nvCAiKwbAuGh0DoZkunWpzHIaq3xcvm+G24LOIIf2oKRMqw75dIaM+0juGznN2+iczhCnPxbmsfNY\nO56b6UHNmYAG8CuBQ0Ucaw1gXbkHnSFeCYO9tq8RVorAE1OLUd8W/ZitnFKEbccC6B9nxe82HMYj\nkwo1/ey2UBKomSbhtJB4ZoYH/jCvCBxyBvs8+Vnx80BVcwiPVdZo6phgpXFBmh3PzvDghDekjJvc\nr10hARdk2CP9KMBpIeFkAGvkWWMoQueB2lzdgtJUuy6NfsnYPNS2dkHOZ3poWx3uGl2q1DXMibq5\nf+fIbIQ4Ee6zfGXDvIC15VJ/OCwUqpp83V/wH2o9XozU19fj2LFjyv8PHToEntcrFfl8PnzwwQfo\n16/fOalgn/XZubKz4S6+K+sNP0kXB3xwpFWXJpqf1B/xjLZtbZ9X9qjMdzZs0CxGFABsWMDqaSV4\n5V8nJe4PmsSdI7NAmaSJyi5lmiKVlzEQFZNbVy6ROrWFRDCUtChRt93MVS2njxIAhmS6YbdQsNAk\nKsblwcEY05w7GBKrPmnAkrF5pnU1c83TZJScrCTVDl+Yx3VD0mGhKYiEeejKTgNdLIHj7QEd9fvU\ngSm6e6nByLuPexVCsbXlHuw/1YkxBUnY3eBDqtMCQQRYQeyWDn5IphtJDtq0H+NtNJ4r92jqRQDY\nfdyL23/WX8N1MiTTDRtDws+JGF2QCFEQ8dt3DmvmTYgX4WBIvHWgGfMivCrz3q6GSDowrigpgtvg\nQas8Aj6Wx6YqiXTOG+QQZ6NBEpKnMCB0/xQYCQDKIM8uDqBJYIUBxb+DIUFDAqpSpORNDHDAGVZa\nvDtoYPaF6aApSfnZzpCR/+tTqwkCeOKTBkxS8cg8vO0Ynp3hAUUQIEno5v7qHQ1nTb130UBuohWc\nIKkY84KI3ETrd/5O+iFYj5u8Z88evP7668r/t27diq1btxqe63A4MG/evG9euz7rs3NovfVK/BDs\nbKRn6rbN3RzGth6UWXP8NHiRAEUYs1EuGJ2DmYPS4Wd5RUzOKJ3THcHbdJeS2hZgIYjSzvPKoiQN\naNgsTfRoix93jsxGVZMPl+UmYI4q1fLxKYVKOrB6tyzzomw81KIDgd4zOhsMob/XsvF5GiZUuaxE\nO42aMwE8VlmDlSbkYH5WwNEzIRQk25ETR6K98jrwInBfx2L8tqwI/VzaVOaFZdngeAGrri7Gq3tP\nKYu9O4YPwAt7TmB0QZJhSuqyCflYNDpXwYzI18h9s2xrnSbFWX0Ox4u6lNOOIAdbDMhTZs2N9ZLc\ncFG6huzNShHgBBG/HjZAEcqzUSRuGi6lJQNAe4AzHB8bBRz1sVj4ntbLkeLQf4rkOZnitJh6ue7e\neBgPTszHPWNyFaVdhUxMlfasTi+W7/vgxAK0Bzk8ul1bl8w4vQfQjDxO9kyZCd6dLfVeAHDSy+q8\nPmkOGj+12EKPFyPjxo3DxRdfDFEUsXjxYlx77bW48MILdefZbDakp6f3hWn67Adp3yVr6rk0ktS6\nlGVPgFqYTG5bdmZ6j8qsDdrQxQEOWsqQiQX3PhZhTK3YIjFfriv3YEjE7S37tX1hHl1sRJuDMQZF\n2hkSrQHAbaXw/y7tj7/88wTyk/rDRUueGF40ThO98ZJMNHaGcVH/OCzeXKOpW3uQN90tWylCFwLJ\nircingE6WCDVyWhCIACw5H3jtF35Hk4Tsi4HQyrnPrWjDlvTpWyLP7YtxMrKerxwjUdzL2+Qw61v\nVkfCOLn41cWZoCgCBxt9CgPrunKPpj9IQkrR/fWw/lgyNg/xNhreEIcNB1s0abO7j3tRmGzHmukl\nCHMiHBYSVU0+0Kp6q9u2YmKBxptixJorp9D+bX+T8qG/e1Q2aJLAGX9I6YuVk4vw8fEQEiPEGsWp\nDoXLJfa+sW3bVCWl9soLY9lkUPa6co+p2N/DkwohiEC6i8afyqVwmex96+KgIS+z0iSuGZSG1/Y1\nSotkTtB4hdR1NBN8VJvsmZJDYWdLvQf06fdAX2qvbD1ejCQmJiIxMREA8MADD6B///6Ij4//1irW\nZ33WZ1ETBGPPiCDoF1RTpkzB+vXrz1pm/KAysLyIfS1BWGhjPIio+jvAStgQN0Ogtj2MMC+5ljuC\nHEQRSHMxOm/Eby/LwhlfWEdCJojRXesTU4qUdE8Lwvhj0kOYAqC96zks//CkIT7EbKfa2BVWvAO7\nj3ux/1QX7h4lAe0pQgRDEGiO2Zmb7WrVXgOW1/OIyOXGnivbNYPSUNWszz5aMSEf971fi0e2H8OD\nEwuxeHMN5pflYPaQdLy2rxEcLxiOdZiT6OBlD8a+k52YXBpN0R2WFYd0t1VH6Ba7L5e9Cic6Qshw\n0oqnSIRxn/rDvIanxEIRsFFAVrwdaJLOu/vdw/jNKA/cVgo2mjRlLOVMPHycIOLzpqDGYyanwVME\nDL0sFgr4qj2k8XaocVQkQcDPasnL1P1sNocg6u+3bEI+fj8qH9v2jwIvAhaKwS3DsxRSwA0HW7Bw\ndI6yuFGT0slm5H3sDlf0U0vt7Qbna24DBw7sW4j0WZ99h2ZGB08apOAMHz4cY8aM6ba8uJJLkVw0\nGCRJ4LHKeiXlUm3yzk/+2x7Zyfk5oLGTxbKtdbh/Sy2Wbq1DW0By+8vem6Xj83HfFbnoF2fBfe/X\n6uotIuqJkVOCAYAkeIyzf4xx9o+RZKckr4RFvyuVMRSx9WV5ScemYlwenrq6GPddkYvtR6OCYKyo\n34nKu9rYstT3JQgC2yM7erltcrmx58pWVpBouOvNjLMq/2ciu+mVlfUoK0hUUnuNxpqmpP7ffdyL\nnZE29o+zKvedUppiSFQWiw2VcSvPfHocYSHqlVKXpT7XQpNY8n4t7t9SiyXv16Li/VoEeUmLRzb5\nXvE2Gk9NK1ZSoWPLoinjeUxHaOC7VFhbGZTNG4zZY5X1CPPQkcapyzDCmsj9DJjPIRD66yrer0Ve\nSjwyxv4VcaP+GwvHFisCgoCUxp7kYDTzY9vRVnSptFWNqAUe2V5vmO4up4z/lKzXMJn29nZ89NFH\nqK2tRSAQ0KW9EgSB+++//xtXsM/67MdmRkyoAL4R82ssTXZ3mhwEQWDt2rW47fY5qNyuR4/ElVyK\ngTc+gMVX5MIfKdcIYzE3QgcfKybHCvqPgMwcOu28VIR5EaIIkIQk724W779mUBrK8hPB8QIWjc7B\nI9vrof5ydoV4WClJHj4W52GLZOqod6Iyfb0MCl06Pl8hWJt9YT/wjDER1oaDLcr91btaClBwGq0B\n1lR0bfW0EkAE7hyZDRyRjtsoc++ATLAmL2JkcClDElg3o0QZk9jr/Co6+P2nunBZbgIONfqUcevO\ns6HHrYioGJenIUoL8YIhdocTRCyfkI8NB1sUwTxfmEeAI7E1MAoAIIgUwpFxjbOSEEQYepJM2xbJ\nMDISluuOqK5iXJ5SL3U/xTPmRGRBVlJCttOkoTfDrI7ekIAsFwEHTeKUV1C4T6R03GyNGrVsMpkb\nYE546LbSmvG5e1S2zpv1U7BeLUbq6+vxhz/8AeFwGJmZmWhoaMCAAQPg9/vR2tqK9PR0JCcnn+u6\n9lmf/eDNyBX74MR8eEOCArCLdSf3xNQZGLKb3kyTAwDcbjdeeuVVvL31E2zdvBGtLS1IT0vD5KlX\n44JLhknsqbSEoTDCWGS6regMcZhcmoIppSnYXC3hU3hRUkM1+1i2BThFB8VKEVh9dbEpGZRMWnbN\noDQMznShYlweCD4qlGdnJN4NTpCyNx68qhAUAXSFeaS7LGCFECrG5SHOGsVQyO2I9eoEOAGfN4UM\nibD2nezE3OH9sWZ6CUKcAAdDobK2FR8cacXU0hRUjMtDqtNi2A4HQ+L2N6vw4MRCfNWhTXUlaHOC\nNTlDqc0fVjxHcvihINmYrMuhooPPcFvwwp6T2H3ci2FZcQoVvtn91kwv0TCw7qyXMnhiidJuuCgd\nz87wIMAKsNAEwhyPnXXteP2LJswdkaX0l9NCgaCsuLf1gZh7kYhnRHTI2UUxgoSFZm2LzG8jYTl5\njsZe0xbgsDyS1gxAyUqSyzDLLnJbKTxXXgIXDQjxjCb1VxZTjL3OQgIH936GtZslNuOUtDTcPHEq\nSi8cBpeVAkUAjxoSs0XbY0YtQBHQ9VNJih0/NSNEUfzaKL6HHnoIDQ0NWLZsGSwWC2699VZUVFTg\n/PPPx65du/DnP/8Z9957LwoLC7+NOn8v1tzcDJZlz37ij8iSkpLQ2tp69hN/hPZ9ta2DJRS2S9mW\nT8hXMBOyWSkCz87wgCHRY56Ruo4wApyIOCuNzhCHd2I+vhKTbLSc1jCBj2tO4TrufggCcLz4KXxS\nH8CYgiRFdr4lCBxo8ms8Ir+7PAuJdhoVkY+kvGMcnGHHgUh2w90bjxi2p7K2VVEudVgoiIIAPyei\nK1Lf/ae6sGh0DgqSbEo/PVfuwY5jbRiZm4hwqAvD9pUAAA4MqwFP2AGCwB3/qMKSsXnYXN2CiSUp\nSLTTsNEkSJJQqOkPNfnwaGWD4tU53RlCabpTWnhZafzlnycw52f9cag5oNuxl6bacaw9pOlbNaBz\n/qhspLskFWFBBCiCgIWSspwWv1+LJ6cUIRjsxLhD5wEAPhx4EImuOJzwhjQel4Vl2ShIsuO4N6TT\n0VGP44EmP1Z9EhW3u3NkFgamOXDbm9VYWJYNO0PiDx/UaX4flO4wbVtYQITXgwLLC2j2sSAJIMXB\n4JW9p3Tg0J8PzsBv3jkMK0VgzfQS/PqNKlgpAhXj8tDm53BhphPVLQGNV2FBWTZKUuxw0/rsLDnD\npSTFjoPN+utKU+043BLABWnSR1jtRSRJ4FCTtl13DB+ghElkHpAVHx3DwrJsFCbb4aCBkCBp8FAU\nGaXo56VFBydI5bstkuqxX+WxDMRcJ4b8mD/vNnz68XbdcymzGdtccWj0cWDoaJpwmOOR7qQVuQSj\nPlk0OgdZ8RYIIJTrWJ5HhoP+VrP8vsv3I8MwSE1NPet5vfKMVFVVYdq0aUhJSUFXVxcAKGGa4cOH\no6qqCq+88gr++Mc/9qb4PuuzH60ZuWLPlhbYUy9JrHdFvSMM8caqulnxFiQeeRcA8F8b7sC8UR6N\nC9iI+CnVyYATBM1uTSam+uBIK355UT/DEAlFQEf8NW9EFnYca8e+k51YUJaDnw9JB8sL6AxF+4km\no9cRgh+fZEbrd8db1bhvbJ6CHZHBj9cMSkNukl1Dv76gLAcvzypFs5+Dw0LCzpA64GwwQualMO1E\nmgAAIABJREFUbtvhZj8OtwSURYN8rtNCKXU85Q3BzpCa9N+Fo3OUVFYRgDcU5V16aFsdVkweBJeV\n0oE/aUrKzjBTqA1xAlwWSiduF+ZFLBmbCxtFgCJJ3e9BTkSKg9G0zRfiEeBEzHtLS5t/rDWA179o\nwpppxYaAUiqCRZLDGvLfcVYaGw624PwMJ9wGbZNDPmZp9H4OiIu5zkoREEQoC5FYz+KTU4uVMQtz\nkvdNTW4W4kUk2GksGZuLDQdb8Ehkrp2XZkd9e0gHIC5IsuH2f1QbpvveOyYHJSnR64KcgKN/WayT\nVZBt27ZtmDNnDp5/+VWc6tSn6KY4achKE0Z9YqdhqNrbl9rbQxNFUQGwOhwOkCSpLEoAIDs7Gx99\n9NG5qWGf9dlZzAyj8X3c12mQ3todYZUMujubPk4XB2UhAmjVaOXdoZ0m0cFq0wZX72jAVBVRk0zU\nJZuLBq4simYO2GgSa2eU4NOj7RiZm6ict+e4F2MKkvDLi/rBRpPIirdiXbknEpphseGgFMaJJQZ7\nWlXHxyrr8eDEQoR5EckOUkmfBBElDAuHuoB90XaH+KieictCKR6csvxEZdEjnyenRDZ2hVCa5tSB\nEGXFXCqGcLcg2Y5d9e06wjJPmkOpY/84q06199HtUtorALgsFB749CTi4iUMRYAjYaEp3L2xRjfu\n68o9CLA8Uhy04bygKVKTYqu+ThQBPyciw03hr/sbNZ6xdeUevP5FY9TLEZK8HLdFUoLVno8bL8nE\na/sawcSAZWUCNRGSR29TVQtskblkpQjwgqgALitUwGR1HWQTIKVty4ReAiQA8RKT6yhaCu+oQZ5D\nMt2wMyRK0pxo6grDTlOGfdMR5LDk/agAY2xqduwcCfHGqcxyKrF8XWftftOFiGzbtm3Dxzs+w34y\n2zBlmWHU7wkt6V9rmOhL7Y1Yr17baWlpaGqScrpIkkRaWhq++OILjBgxAgBQXV3dIy76Puuzb2pm\nNOkjXK7v5b7np9l1LK92mtCRMslgS6Bnqr1m4DcRUFJoW3xa/MHjJkRd6rRBo92aEbX5/LIcMARw\ntEO/0+wfLwmZmamoMlR0l22hCSzeLHk2RkfSJ9dOLzH2jESKksG1bQFWKd8Mt+ILC7BQJI53hAx/\nD7CCjlDs8SmFumPzy3JAAgog18eagCXDEqi0NcCik2c0GAozz0dXmMeyrXVYMDoHyybk68JhZuRx\n/rCg82AAUc+YUUrwkrF5qDmj9/qIkZTwnpCeHW72w0aTuO+KXJzuCmPVJw2mdPzy3GJFwlBUMcNt\nTmCWZCE081yujzo1d8nYPNx1ebYmhGWm6ns2hWYzwK/6up6yGW/e+A6mz1uiT1nmRXzeFjSVcehT\n7Y1arxYjF1xwAT777DNcd911AIArr7wSr7zyCpqamiCKIg4cOICpU6ee04r2WZ8ZmZkS74upLrjO\nUXacKIrYtWsXNm7ciKamJqSlpWHMxKnYS+h3QvlJ/Q3d0wKgAOUsNIHKo22aXa0auNdTj4uVIpDh\ntuC+K3LhslK45z0tMZiFJk1SVo21eJQjBGFKfW62i1tbLoV/jMipkhyMcm9XRKPEbaWUjz9BRu9n\nAYWtgVGgCCCNjKayXj0wBWkui1I+RRBYMSFfh5txWkhsO9qKGy/OxNLx+Yr8u+I9Ykg0xNC2UwSh\nuNfV7X1+pgeNnazGjR8LlnRaJFCpEcDVZgJYlMM/j22vx4NXFerI3m4Z2t+wH20MqSyIACDJQeOG\ni/rh5qGZ2FHXplP7lcm6Fm/S7v6f+fS44tFx9JD0bG0ky4ckIpTxNGlKRAaI6GTNybyM+yQCOlX1\nmVF9ln9Yh+dnaonkLBTwyPazq/oOy4rD1IEpIAgCyyfkmxLZOS1RqYFlm0No1j0pems902yYsryu\n3GOqFA4QILqZxz8mUsZzYb1ajJSXl2PkyJHgOA40TWPy5MkIhULYvXs3SJLEzJkzUV5efq7r2md9\npjMzj4EvzMNl++bld3Z2Ys6cOdi2bZvm+Pr16zH4Z6Owe+oC8IxD+VCxvAiKgYbllRcJfBnjRZk3\nIgvDsuKw/1SXRh/HzONSmmY3TLs83OzH059+hUcmFer64XCzH3fFpJvOG5WjUQM1ut8TU4pNd+Zm\nO/35G49g7YwSxduh9jBwQtQbFOIELN5co+BAAO3uPAyL4l14mpM+8L+5TKIZP9Tk05FRzYssDvaf\n6sL8UdmwUcCw7ASNl2PuiCwwJIHRBYmgoMe1mFG9G6Uwy6Ex+X4UAcm7M6NEl8rKcrxhemuQi2Iw\nfGFeST+W7bah/Q1Jvg41+bBm53HcOTIbbiul82DwBsR4RvMixIto80u8MDRwVtKzzhCPhe8e0fQn\nCREpbYfx/+5YjqD3DGxxyZh7w7WwkpJby2yuWEyo/+U5qdZYMqvPsfYQOgKcBov0+JRCJSQm97P6\nXjI+RN1nd47MxsNXFcLH8goo2UZL8gRy/x8JWJV7O6yA70Xpb+dNgIqAFglJqWg3emZM3k9tQW2f\nxs7j70hE/AdlvVqMuFwuuFRucIIgMHPmTMycOfOcVazP+uxsxosEbLSxx0Ci+ebML+6BiaJouBCR\nbf9nHyOuLYCimx5CiIeyE4rd0cR6b4ZkupHooHHDxf0kzwkTzaYx8/TE0mird9HPlZdAhB6XkmCn\n4fNHiTuevLoYh84ICPKAlZS8L6ygv5+Zaq8jJr14Sqm0K3ZaKAzJdIPoxqNy3xW52FzdgiQHLXlD\nVPU1S8F0WkhlB7/9aCvGFCQpLnu5/Kc/PY5nZ3jAiyJ21LWhINluukP9854TKEjurxO0s1LGc8gs\nFJRop/HsjBJUNfnAi1I6tJoUTR4fl5XG8eNeXdqmjY5iMGI566wUAR7GXoU100sQ4iUBtopxebrf\n15V7dG3vUnGMqO+RYKexYmIBeERJz9JdxunLnSFOU+bqj6pAb3kCOyu1z0XFp29jc9kYvPCntXBY\n4wzLCvPG1P8Fyf3hoLRhQ1Ywx1rFYpGeneExTCOWqf/9rID2AKuwnYZ4ETuPtWFsYbKi92OlpHBq\nqjPa/4kXlKF51zs4m02aejVeOGmcjn22Pr1mUBpK0hzIS7LhtohqL/vTcooA+AakZ33WZ9+nyTv6\nD460GgqipbrtCPg6z15QN7Zr1y7ThYhs3up/oqv2c7gLBiPEGwtjGcXBY3e1QzLsYAixW0+PEenW\ndUP6IctFgBcJHVYlxcGgI4orx13vVOPm4cWaOLbaQyEbJ4iRDyyUHaMgiuAFEcsm5IMiSVARXZp3\nDrZIPB0jsroltJLTLuUQg5pkDaJoTLUuAttrWzE6LxHZCXZTHMgJb0jxLgzNijc8pyPIYWe9F7dc\nmqnzjJjtrM2Ax20BDndvPIL5ZTkAgIottVg1tUg3Pi9e45HuFclkkcutavIpWAeI0XvIKcndkXXJ\nf8eqAMhzJPY6M0I3URRx98YjeGZasVLvYVlxumcpFo8hiiIOvbwU3up/GnoKdlZK2SVPPv+Krqw7\nIm0zm8dqHFM8A8M5LWOtQrxWqsDPSt459TsAooimGOp/dZhtYok+DCQr8crH3PmDEVdyKbzV/4SZ\njSwbg0uGDkNiW0g3hynolcLVfTp7SLrEtxOT7fQTi9AA6OVi5Nlnnz3rOQRBYM6cOb0pXmNvvfUW\n/ud//geTJk3CjTfeqBz/29/+ho8++gg+nw8lJSW49dZbkZGRofzOsizWr1+PXbt2gWVZDB48GLfc\ncksfjf1/iKk9CJygF0SzWxkEfN/sHhs3buzRea2fb4e7YLC0m2f0sd6zxcHV6HkzYiRHN94DQNTs\nKLvCAloDLKw0iXWfnUKSKsMjNo6t9lCoy+0K8wpI0EoRuOvybNhoAh1BHisra3Uvd7lcM4+KnJIq\ny8rL8fGKcXnRbBqDnW1Wgh1EhLJ+ydg8051ytD+M+6kzwuZqhIeR+199/0CYR6uf1YUU1B9DdWYS\nRei9K0beks3VLbjp0v4oTXfCyVDgBVGXomszIUtTZ7UYeVQslH7uyIRuMsbCEdl5UyShm1fqMUm0\nM2AiHqN9KjKvztr93X6YASm7ZP//7dZgquS2D8ro3+08Vps8p9eVe3C8IwQCUFJ6Y8fdZaF0OK0O\nFrqxVmegmYWBglyU6ZYgCBTMrkDdfy9HuE6fVRNXcinY8b8HQZKGY12YrMeQkUQU42KUFRab8fZT\nsV4tRg4cOKA7JggC2tvbIQgC4uLiYLVaDa78elZTU4OtW7ciJydHc/ytt97C5s2bMW/ePKSmpuKv\nf/0rVqxYgSeffBI0LTXppZdewr59+3D33XfDbrfjhRdewOOPP46lS5d+43r12fdnMrjTG9JmN8gv\n0nUzSkD1AoVuBBqVM8aA7uPFbGebQmBklFbckzi4TOvuoPU7qfmjshFkBbw4y4MwDwW4RwGwMRLR\nmo8V4GCkF7QQ4TEMsAIGZiaDK10PEcD9ETBngBUwJNONKaUpcFoorJtRAhAEKAA8pL49L82BteUe\ndIX4aKprqqPblzvHC4a7YY4XlZTUm4f2xzUXpKMzxEc+4ABEEUOz4pT+IAAMzYoDCYmFVab9VlOf\nh3gRI3Pi8cuL+4HlBTw/04MQx8NCQucJWFiWjQHxVjwxpdDU69AV5vGbtw8rx6wUgbXlHryw5wSW\njM1Dop025LfwhQW8MNMDmiR0WR5+FdU6ABAEwAnSuCx5X1JC/lO5BwKAQFgARQKv7D2F3EQ7lk/I\nVzwgFEGAoYDKo20KSZhFFVqS+7mytg13jszG6h3ROiwoy0aYF0GTEpcHCaA0zQk/K2DtDA9EAE9d\nXQyGlvrZRpMKDb8szazuz84vP+7uMVLsnXfexgMrHsb2o614eW+j4q2wUsbjY6GgqPaGRQJdrDTP\n4yLspsl2CgxNYfaFGbhlaCa6Qjz+ur9ReT5cDBDgtMsZ9TyXQbYbDrYoGWhmYSknQ+LpacWgKGkM\nnRYKwuw38fmeSkCYDQCY+fNfIG7QlfiMzwJPEGgNcIYen19eJHl8YjFk8jPeXVZYXzZND+yZZ54x\nPM5xHLZu3Yp3330XFRUV36hiwWAQa9aswe2334433nhD89umTZswc+ZMXHzxxQCAefPm4dZbb8We\nPXswYsQI+P1+bNu2DXfddRcGDhwIALjjjjvwu9/9DjU1Nf9RzLA/JTMCW5pRQX/Tcu8dk4PUtLQe\nXX/ZwBz8Zmwu7LTxyyM2Dm6UhSC7/uX04OdnetAZlrIXXt17CrMuSMehJm1a7cLROUiw0Vi8+ahy\nTE0y9vxMLdW3/LvLQirH7x+Xh1Y/izAvpcSqwX7qLJL5ZTngeNHwxSnjVWKzOeTdYUmqQ1cHuY53\nXZ6NfnEWHG3VE0YRbkJHWtbYGcKSsXlIdjI47Q3hzphwC02SsFBa6vgNkVBSd1TrVprUtcsfFpQP\nzJ9nlmL5h3rWWaeFxNEzARQn23VEZW4rZdr/8j0aOiTiu1VXFytMqHkJVlSfCegI1q4oSERpuhMb\nDraAJoFVVxeDF4C2AKukiXvSnDoiMidD4P9O+HC6M4QMtxVPf3pcGePPGtoxLDtBWeDJY53qpFHV\nHFTmQ8W4PLgsFO7dEsKpHjwTH35eh9NvVmFBWQ5emlUKkpAW5SEBhkRwLT4ObQEWA9Ps+DySEizX\nkSIRmZva+XH7sP4AAbgY4IDB85ufbDfs/5wEK56aVgxb5P9Pf6rVY7JSQM0Z7bM2vywHnSlFikrx\nycGzUT7Kg8LWAF7b1wiIxs+10ftI/T7gRWPP5E8xm+acSgPSNI2JEydi8ODBeOGFF75RWX/+859x\n8cUX4/zzz9ccb2pqQnt7OwYNGqQcczgcKCoqwuHD0s6mtrYWPM9rrs3MzERKSopyTp/9+MwI3PnM\np8cxpTQFNprEvWOMPRM9KfeDI1FF1opxefjgSCuumNiz9PSaxIuw5P1aLN5cq1EdVZsUBxcRZwGu\nKJSQ+vdvqcWyrXUYU5CEqiYfQrwEVvVzQDwj6bHc9c5h7Kz3It5G60CNj26vR0C1swrxEqBzSkRW\nnheNBe14EfgssmjIjLPiscp6eFKjJGFTSlN0162srAcd2Y0DEvZl2fh8LB2fjwy3BRVj82ChoGTT\n3L+lFis+OoaxhUl4+V8nTeu46pMGhHljwCZDk7qx9qQ5seKjY7DTpLK7Vl9jpUks+7AO/jCPRe/V\nYMn7tQpg8bHKejCkJOAmt0PyHuRgR12bZrzkD4J8HisIuuvml+WAIYFkJ4NOVgAj+jHhyzxcdSAP\ny7ccMO1/UXUPmfju1b2nlHnBilAWIuqx5gGlPTvrvbjrncNwWiSCtN3HvYqGkFrg4+0DzQhG1G3H\nFiUp9ZHHeGKJXul3ZWW9TvFWFCWPWUZ6ek8eCTDuRKXPRUgLkS4OCPISWVqsCnCcjcZD2+rhY6MA\n19kXZiDJQcNjQGD3WGU9QABuBuhigSSHBWuml2D2kHTlOeJNBB0FEfj1G1U41h7CjmNalekdx9oR\nNJiPKyvrMSInSgIoH5MVgB0WEtPOSwUR2Y8QkDhqKBPnhvw+oAhg3ogszbyaNyLL9Lr/ZPtWAKw5\nOTn4+OOeufOMbOfOnaivr8dDDz2k+629vR0AdNiP+Ph45bf29nbQNA2Hw2F6Tp/9+MwM3JloZxTh\nq97oObC8PiVy7ogsDEzthzFjxmDbtm3gBeDvu6XzeZXrPa7kUrjyL1DqYkTJrjY/p//QyMykr+1r\nlHbkkTLUpFlm4QUjIKN8yIyEzB+OkmM9PqUIQzLd8LPRc81CSX5WCsPsjuym1f1158hs+MOChrbb\nbaXAC8CEkhRc5UnRqL6qwYdmbQupYxyRY/E2Gvep1IaN6jgk0410lwX3jc3T8IyEeIn0LJYynRCl\nhd/yCfkawC7EqPJss4/V0chXHm1DnJVCa4DD9qNtqDrVhLGqb3VXN6RbcmilqsmHZePzIQIYEG/F\nw5MKTcctzInKuXK7OkMcfj8qG0983KChy1fPY9mjFQjrx5iJ2ZWr50iIl7KmyvITlTKDcYPRE0u6\nYLRmTOrbQnhoW70y32JDJxwvgab9YR6/vKgfXt17ShHzM0u99oUF1LWGNdkwC8pyMH9UNuJtdLeE\nYoC0YNh3slOjtGululf7le3S/nEYPzALYU7Ai7NKJW9Ki5aTZt6ILKQ5u6dR9YZ4ZUEkexM3HmpB\nXpK92/fIf6J9K4uRzz//vNeYkTNnzuCll15CRUWFgv/osz4DzMGdcVZSIxD3dY0kCdN00LVr1yrp\nvdc+pb0uwTMUeb9YAiKyHbJSRCRt07wuPhP+BZmlVALjSbTuIkSFEMkMmGkEZJQPmYFeHZZoOMVK\nk7iyOElzrhmo1cFI1914caYOdLd6R4OGat1KETh6Jqj5UKhVX81ApzYigE8ypwAAvqRqdG3rCHKo\n2FKLv8wqNa3j1NIUNPnCAKSX+5TSFOW+NEXink2HNdddlhOHKwqTNGGRuy7PBkEA/eOteGa6BwQB\nrPiwTnLJq+5XVpCI+7fU4sGJhXhLDChD/0AkrGHsgqewZGwuDjX6kO626hYPgzKcpq77uzdqQw4M\nRcLBSGGPBBuNezfVGM7j5RPyARXBljzGSXbGdI5YKQLXXpCOxZujZVpzL0CCZ2i3FOmXXFaGoWUj\nseerTmVMZM9jnEHo6q7Ls9ER5PSLKCESfqXNyONIZX7J7ZXByNsiqeBm1y2fkI/DzT4sGp2rlCGL\nRJo9axarDRVt9+O6CzMwlEjV1HfR6Bx81tCu88I8O0MLRI3FpjktFNQRQoKQtJp+imGaXn3tX3/9\ndcPjPp8Phw4dQl1dHaZNm9arCtXW1sLr9WLRokXKMUEQcPDgQWzevBmrVq0CAHR0dCAhIUE5p6Oj\nA7m5uQCAhIQEcBwHv9+v8Y7EXhNrO3bswM6dOzXH0tPT8atf/QpxcXHohcDxD9oYhkFSUtL3XY0e\nmz3EYvEVeXjwo6iOyr1jcpGR4ILdqhV2+TptO32i1XgnyosozMnBu+++ix07duCNN97A6dOnkZGR\ngWGjx8OaMwjP7vpKqcsdwwdAFAG7043mzgC6ImqyqW67Ur8zoTbDF52dIWGjSayYWICa1hAe+kj7\n0REEUZfZsaAsG3bVi1qOeW881KJwWRilzBKAsoNeMjYPj22vx28uy1LK33ioRRdLv2P4APCCiJ9l\nJ+B0V9iwv9RU60vG5uk+FM98ehwV4/IwMjdBqeMdwweAUNUTKmeIKIimbesOLNsW4HQ71J8PSceV\nRUmGVOtGKZ6rPmnAyslFmP/uEcwbkYXBGU7DvuQEyevgspD4WU48cEwq8+Ftx/DgZLchwZeVAlr9\nHErTnRo1Z2XxMMNjeC9RFHUfu2eme5S6P3xVgem4qLE380ZkoarJh3kjssCZpFUTgEQWZ5AhlPeL\nJbB98AT279mue5YG/2wUqEnzMTIvERaKxOiCRM18W1fu0YVOVn2i501RA6MPN/sN+5EXjDFMTV1h\nZCXYQRPGBGsHGiXyuAVlkmJuLH7FakDMdveobOw81oXzLr4erfFWPB2z6Htku5TtpQawyt69pH7J\nAIBAiMWuujPK+8tKEfjLLI8hwZ2Nwrf6bv4u3/3yZu2ll15CY2Oj5rfLLrsMI0eOBNDLxcjf//53\nw+NOpxPp6em49dZbMXbs2N4UjUGDBuHxxx/XHHvmmWfQv39/TJ8+Henp6UhISMAXX3yhZNn4/X4c\nOXIEEyZMAADk5+eDoih8+eWXGDp0KADg5MmTaGlpQXFxsem9R44cqXRMrHm9XrAs26s2/VDtu5SR\nPlc2KNWqS+EL+Dp1abxfp212M+I0hkBdYxt8rIABxefjvorzlTBQa5jAtqOtunRUmnRiZ22LRl33\nnjG5GJxmA0VIWQ3GoDlCIS9bHPOiezqyu20wSH8tKkzC8zM98IYEiKIIp5VCfpIdbUFprpqlG8of\ncdldv/LjBswflY215R74wwJcFhLPzpDSQeV7EYQTO4614+ZLM00XVPIL3CzUk2hn4GQoTC5NUTAO\ngzKcSmpvOBgVyusI8komiygCTiuFnEQbbh5Kgib1asNyWUY4gWdneKSFm8Eu26yuIrT9b9SXN16S\nGQHvElj53+/hWkmeCzX/eAbb467HCVeBIcHX7oZ2/NfgDMP7gjAet4Lk/rpz1eE1lhdNxyW2P9ZM\nL4EvxMNOm6ek7m5ox3np+lRch9OFZ156DTt3fIwn/70OHR0dmHbtIBQNn4B3OzPAE4RCOb/9aKuG\niM4svNZduDHBTuNws08397MTbIbtTXQwuH9Lrfkzk+JUvCgV4/I0AntWShLtC/NC5FmQsmlYTkBh\nsh0UIYVWjNpgoQhNGG1TVQvsDKm8hzpYQlmIyNd0saIpbf63+W7+Lt/9DMMgNTUVv/rVr7o9r1eL\nkb/97W+9uaxHZrPZMGDAAN0xt9utHJ80aRLefPNNZGRkIC0tDX/961+RnJyMSy+9FIAEaL3iiiuw\nfv16OJ1O2O12/OUvf0FJSUlfJs2P3GRCJDlN7lyYyyCddsWEPBw5E9QsKtQCVwSgIbSSEfeAXl33\n4W3HFFVelpfkzmO5JVheRIoNOOk33u1xvIgUp1Vzv7kjshDmRaTaAIDErW9I7KRLx+fj/i21eHZ6\niWG64ewL+yn3UIdkVn7cAAC44aJ0ZCfYdSJnVloKdbzwz5OGXgmWFwzLlU3+MP5+w2HNQgyiqPSl\nWijvzS+bsOcUh3XlHnx52qfxdjw/U7ujlHe9cn/F9l+QE3DSG0Juok1X91SncahC5vUI8eakc1cP\nTMNNgxNw242zcWDPdiCyGGne8x4WffIe4kouxSezK0DZosKh1w3ph9EFSfCGOMP7BljB8F7lg7Tg\nUbmOchlqIjl1n4iCvj9Od4bx4EfH8PgUPVmbPEd+lp0Ab4gzXDzTJIG/NKYBafdj6S/z8e6WWhzp\nggLgDPEivuoI4eW9jRiWlaC00WYScjELN9poEi4LhZf3NuLlvdpd9ZBMPUnbHcMHoCuyWPCFecPr\nlo7PV+poRh73aGUDYu3paSURgkHjME68ndFkd8WSlxlh3lr9rOF89bN9qb0/Cps2bRpCoRCef/55\n+Hw+lJaWYvHixRqMyY033giSJPHEE0+AZVkMGTIEN9988/dY6z7riSkx1bAAe0RBlqGIHoNT5etP\nn2yDvYfXGSnXigAWb9ZSjz+0TaKdZkgCIrS7V7VQntHLxRsSAJCgKWnnObFEwjGIYpQIq4OFKb09\nTZnjWlrDkhbIunIPApwAjhfxxJQi2BkS8XQQW9MnAwAuP7kRIumAnSEV7IDRB+yy3ET8NgYTIu/W\nlk3IR5gX4WAoiZ6cExDmRfzv/kZ4Uh1KeiNDEVh1dbECRJQ/jDQBjcgZGWF5zYq3SvUPdAL/ltr9\nxekuLBrtASeISHLQGipvVgAcDKkp65Q3pPSXbhFEk7AzkkelxReK0sHTJGrO+LFwdI6CGbHRJO4c\nmQVfiFeuV4unqcc7wU7hT3/4HfbsqITDACbnrf4n7FufxGN/Wg+7hcKOujY4LSRKU+0QRCPOjRzY\nTbBRagyK3J+cKny3+7gXDEngqWklCPMCrHTEg5CoFWmyUgQGxFuxZloxaJLADRelY2RuokKPv6Ou\nDVaaxPkZTjAkwPGCZvGMyL8PTshHvzgrfGEeL84qxcFGn7KglRcTavxJiBdBE9Dxsfzu8izYKG24\ncWFZDjJcDNbOKAFFGKfN+sI89jR0YPU0ycvjZ3lsrm5BYkmKDoukbrsar5Qdb8WfZ5bCz0Y9gGZj\n7bSQ4EUplTg2jLOwLAevxGSNxZKXORm9uCBjQFQn42x+apgRQuwFEKKlpeXsJxlYSkpKr677IVhz\nc3NfmOZbNjMekd0N7biyKEnxSnyd69XejK9jJ/0i5vyjWnd86fh8rPiwDmumFaOqOaDhZ5g7Igul\naQ7Me6ta93J5cGIhFm+uwfMzPTjcEtDFo0OcAFGEjvdB3onmJdkw7219WvqaacUKDbZ/cngqAAAg\nAElEQVSMB5A5PP5U7kFt8xlMPSKlwV/Z+B7mjipBXqINc9+qVs5lSAI3XNIP/jCPrjAPO03h7neP\n6O717PQSnOoMaYCevx+VDSdDYVlETVXdNhnY1z/OimY/CxJAipPBb94+rOEyeXGWB4eapOskz4gE\nYN178WE0BxlsOBSlnN95rB27j3vx4jUeHG0NKlgHeSdammpHdUtAs7BYUJaN3AQb7nirGi/M9KAq\npo7LJuSDBBCM7JRl7MD+k11448tmzB+VjfPS7DjQFNB5i1qq9+KW2bMAdE+MV3LbE0gpHoIFZZLo\n4cGmALYfbcXEkpQIaJFAvI3GqxHSs9wkuwbHIdchwEtZUmoCNlknKMnOgCShyUSZOyILpal2zHtb\n640alOFETWsA56UatyvICViz8zjmjcjC6c4QStOdcFkoCKKU2VWYZDW97ulPv8IdwwdgT0MHygoS\nkepk0OJj8VhlPR6ZVIgwLy1g1X2dFWeBNyxJDlAkgZf/dVJpw4oJ+egI8Zp5t6AsB8XJdnCAhlhN\nvu/ogkR4UuyasZbbvuNYO/af6sLS8XloC3B44uMGTbmDMuz44rS+balOBm0BFuel2dEeFBRSNIeF\ngiCIuOWNKv0zM6ME/R2R9HCRwL6Ycp+eVoz69pAO1zIoww5bLzIDe2rfR5jmbNYrz8jcuXN7c9m3\nGt7psx+/mfGILBmbp0iHxzNf73pZrru764zMLHNH5oUAYe6pMHJrk4R0Di8aC4XdeEmmEoJR09tn\nuC14Yc9JlKQa4zQ6gloRM7WAmAjgk9o2yGwpC0fn4N0jrSgc2l+DpTjVGUJnkFeyJp4zoXW3M6Qu\nLfmJjxvwzHQPHryqELyo52d4ZLskQS8zjq4tl3Q/1LT4ap4Rm8ozTZEElkVAtruPezWgxu5E+T6q\nMe7fEC+CNahjmBc1QFK5vWuml8CT5lTwGkax/cx/RyUDQiwwa3X0b7XJkgGyh2llhN5e7oNl4/Nx\n1zvSgmFnvRezh6RHUqQl4cKqJh+CPHDT3w/huXKPBnC7+7gX+052Yl25RyckKM/J2NTR/GQ7Htsu\n1aU7UT55Psnjt2Z6Cd74ohG3DDXuj3XlHjw1rRhdIR7nD83Eh0daYaNJZc7H2WjMUdVR7ut15R78\n9u1qwzYEedEwHX5duQcdQQ6DM+PwdFYCHBYSLCfAk+ZQRBNlzAjLiQjyAkhAwStRJKksRGLLNWrb\n2nIPFr5XIz3jb2szsp6bafLMqLLr/Jx+7okEYSocaOs+K/g/znq1GLntttuwadMmtLS0YOTIkcjM\nlIK8J06cwM6dO5GamoqrrrpKQdH2WZ/1xMx4RGQgocy/8XWvP9t1RmaEI5F1SQAp1nvNoDSU5Ufd\n25VH2+BnBUPegMmR9FIz7IEazKimt186Ph+7j3tRmGzXhRJiRczk9sbbaDw5tciUjtwfjgquBVkB\nrX4OCfYo1qIrzJtkqpj1L4//3d+I6y8yBmT6w7zyty/ytxo0asTrAEDhWRFVZYmQcATdcUgY9e/P\nh2SY3ksQjXEmpzvDigDfdUOM29akyg7gBeB1k4xXtrNNU0f1vJb7I5Z/44U9JzH7wgyc9IZQWduO\n7AQp3GI2Pt3xmlRs0YI0fz2sP4Zkunskyqfu/8bOMIZlJ3Tb//PeljyKS8fn47V9jVg6Pl8Zk6en\nFZteJ9e1p+PjC/O4570azB2RhQHxVsz7u9aTOTQrXsGMyDgqtS0dn29artk8Nvp9WFYcSBB4ZFKh\nIh65/1SXkt0lm9H7KWiCD1ILB/5UrFeLkfb2drAsi6eeegput1vz27XXXouKigq0t7djxowZ56SS\nffbTsO68ET2Jo5qKzPUi/horPNfh68C4g0W4DsDlxEakOBhJbTMGsBZvJQ2JlK69QAIfmsWxbSZ1\nVwP73DE02mrhOfU1LC/ipDeEwf2cGB6TbnrL8GK4rFHBNZlz5MaLo54XX5g3zVQxqqM3xGFkboJp\n2xwWSvlbpl1XA1zV17GiBfecuR8MCZRbbboYf4bbgvuuyDW9l9NixklBmfa/mTqvGReK+py0r8FI\nGltHdR+4LcbU8bwgeW3mjchCnFVqg3p84m00vCEOGw62wGPiPbMzWqyJTHk+MjcBFhNAqVqUT90P\n6W5LDwTvtHPXbKyNxu3rjI/TQinenzXTSzT9Lc87+TojQHV35Rq/R0RMdFSin7cGDioffp5UVLjn\nvlWljNuCshz8fHA6Xv+iEYMynJDfPUbvJ7Pn/qfIM9IrzMicOXMwefJkTJkyxfD3d955B5s2bcLa\ntWu/cQV/KPZTw4wYCcf1ht3061gs5kMdAx5XlIgL0uwAYFovXiRQ1xFGgIsKjNloIC/ecta6q8W5\nnBYKLgawqMqtb23HyC8knaMPBx5EekKCxp0MSC+RZ2d4ImJ1gJ/lYWdIRWzujJ9FVpwVzb6wgk+g\nCAIkIeLL0z5FN0Ru+6KI9oyP5ZFoY2ChAJoiFf4SKpJmaKVJbD/aBpokMCo/EQFWOsaQBO78x791\nANZVVxfjdxuOYNHoHBQl29AZloCc3hCPrhCHg40+lKY5gQi4lCIIUKSIAXFWtAc5WGgKQVaAy0pB\nFESEBInLIt5KoaE9qJOrl3EE80dlI8PN4O6NNRiS6cbU0hSAAAoStfgDGUfzVXsQWYk2JNkZBFgB\nDAXQJIkAKyA/0YKvvBLfiVxHCwWkuyzYd8qn8xqUpjnwSV0bxhUm4Yyfg9MqtcHOkOAEyQsiZ0HJ\nANbtR9uw/1QXFpbloDTVhuPesIJ1kMXrDu/bg9t/ee1Z53bJbU8gteRCzB+VDU+KHZ2sgF317chw\n27B6R4OCKZLn0+wh6SgrSESYE2CJAFGvKEiCAAkzYqFIrP/XSXAC8IsL02FnKIQ5AQxFKngLuf+L\nU+zgRCjz0BfikWCncfubVbhmUJoOn3L3qGwcaw3gjS+bMXf4AAUz4rbScFoodAY5pLtoHIwZs/mj\nslGaZsfNr1dj0egcpLtotAZ4DR5mzs/6o6pZf915aXYEI3gYJtI2uQ0rJuSjPchpvILzR0nih7dH\ncF1q7NTInHjMvigDogi4GBI8os/1oSYfHq1sgI0mcd8VuRp1anVdYufj/FHZENguzKiVGGg/vaAK\ndocbFEHgjn/o3wNrppegPcAiJ8ECJvLOYnlJi0g9zx6fXIjTXWEdxsmTaoeL6sOMnNU6OzsRCoVM\nfw+Hw+jq6upN0X32A7BzCQQ1MlEUsWvXLmzcuBFNTU1IS0vDlClTMHz4cMUb4WOlD6QgiBjSz6lo\nzpytXt6QoOP4OJuFRQL7DQBrgzPsyoKkMxyNdzy0rQ4rJl9g6Mpt9oXR3KWlhV5QloN+bgbLtkrC\ndEFO0ImgjStMAkkCj08pQmuAA0kA/VwWVLcEsHpHg6l43bHWAF7/ognLJ+TDG+KVF6OVIvCECY22\nKAKrry7Gy/86iaz4TJzo0IqCrZiQD29I0LCnLhydA5IATnfqBe2cFhJ/+EDa0V+WE4enppWA40XY\nLSREQUSAE/HUtGL4Qjy8QR7ryj3geAFfeaUFwMopRUhxSpkTn+zYiY+3vIs1m5uQmpYGLn84jjkL\nYaNJ3HV5NrYfbcO+k514aZYH3hhQ48LROejnhqFXJz/JhuwEKYOlxc/ink01mn4sSbbrvE43X9oP\nTT4WEIGwIH3MH4kB7x6kc3HRiFHY+6m5/MVlZWOw8nfXwGWlIQgi1uw6gX0nO7FwdA7SXQwqxuVp\nyMVmD0mXvG4xaeO8IOIO1bFFo3NQnGKPfNxrVMdz8auL+0EkCFQebcNjlfUaYPOdI7Nhiej+vLav\nUcGnBFmJwp8hgcw4K0YXJIITRNgZUkOaNr8sB4l2GnkJNP571BGEOAGh9MkQRAoBVsRz5SVw0MAX\nTUHds8gJQIZbS8dvIwkdGHbR6BzMvrAfWgMskh0MGrvCCu+Hw0KhqskHNtJfVopAnJWShCgjH/y7\n3jmM1VcX4/AZ/XP94kwPOACCICIr3opnZkjl2hgSYY4HLwA5CVbN/XhekAClkUjPmQCLR7ZU476x\neYbP2OnOsATGjXlnyc9HmBfQEeTgtlLws1qPp5Ui8B/Gr9kj65VQXlFREd577z3U1tbqfjt69Cje\ne++9Pj6PH7GZAUHNROC+jnV2duL666/HrFmzsH79emzatAnr16/HrFmzcP3118Pf5UU8IyLTQSDJ\nInFvSIJS4lnr1cUZc3ycrd5drLFQWxcbLffxj+uV80O8qLiA1WalCCQ5GB3pliT6JrmUM+OshiJo\nICTxrnlvH8a7hySxM4IgFDl4M/G6sgJJkEwuR/27WR3tDInfvl2NnfVeUCSha3uQF3XsqVLZxv3E\nq2L6O+u9+O3b1WgNsLjp74dwx1vVkstZRASQa5UWWySpjJWToXD3m/sx8qrpmHvDtfjbq+vx0ZZN\n+Nur6/HG0ttx5MV74fd1YdUnDbh1aH/pQ8Ybi8mxAjAyL1Ej1jcyLxEOC6WIthkBX2UROlm87b73\na0FTJJa8X4tlH9aBF6ET5nvi4wZc5UkFM3kBLisbYzi3Si8diYdWrYUIAqwgorKuTREJlPtUFKP8\nGwBQlp9oWEeCJDTHHtmuF7QLRcZOJAj8+o0qRe9ILU64ekcDHEz0fq/ta8Sv36jCgnePgBVE3Px6\nFRwMiXlvVStZMLF1EQG8+n/1yD58G4pq5+B0Ryde/L+ToEgC8YwIv8mzKAJoaA+BJggli4iHMfDZ\nxkj97wsLeLSyATf9/RDmvX0YN/39EB6tbABJEhphuXhGogFQFkA0aThfCZJAU1cYr+w9ha+8Idzy\n+iH89p3D+PUbVbh7Yw1YEcp91P+q1xzycymHf2KfMQJS+ztZ7TtLfj46ghyWvF8LXpTmnXruLXm/\nFqxWluknYb3yjNx88834wx/+gHvvvRfFxcXIyJDAYadPn8bhw4fhcrlw0003ndOK9tl3Z+cSCKo2\nURQVnRcj27ZtG+bMmYNXXnnFEPx8tnr1tt7dgfGSLMblBjlBR6OtJlyKLUsGBHZ3rxAvKjHo5R/W\n4Y8qgJ2ZoJksJmcE8mN5Abf8LB8Ve+8HKwAUZcNtw6PCaWb16Q4waHTcjD1TTdEuU8Q3doWx6pMG\nzY6yM8QiuOExeKv/CSPzVv8TR19bhqKbHkJXmMOi92rweDfiaS4LpSeV48wBkvJ1scfUwNuAiaaQ\nCIBnHFj93Mu4ZfXraPz3NrCdbWDciVg293qklVyIez+Kpo7OL8tBspNRrqcIYPmHdRiS6VaysIKc\n8b1k8K/6mBloNcjq2yOq/jaj05fnr8yUKsJ4LvjDAi7J0uKRbh5erAA2zZ5FCoCFIjFH5cF7dLLx\nWMr9b4arkEMtGw+1oCjFDjetfVbNx5rHsq11mDsiCw6GMvzdrM3q/wMw5OmRge7q5zq2LPmZOdu7\n56dkvVqMDBgwACtXrsRbb72Fffv2KR6S1NRUTJo0CdOmTetWA6bPfth2LoGgatu1a5fpQkS2bdu2\n4bPPPsPw4cO/dr26+50XzbEm3YHqOlhpEfXoVYXAfum3B8blIcQJYBXKaAEWWnKJJ9ppkzpQWDY+\n3/RedobE8zMlgq9X957CkrF5GhEzM0EzGZhpBMZjKBLNfh7lE29DkBPwXzSJHcfaQGc48dKsUvCi\nlGETS8RkTvrUc7G+/nFWPDujBFVNPtAyiJCAEp93qkCVO3Z8iv2fda/y7a3+J3L9NegKS/or3Y2Z\nLCanPr42kq7cHaGVbMOy4jB1YAoIEFg+IR+bqlo0xF3qcglEx+G+66fg6YLBykdpxGUlmjRW2auw\nNkKEZaUIZTEhA54rxuXBZTVum8tC6ejGnYy2PW6rxAVCkQSem+lB5dE21JwJYOrAFMRZaaU9NEVK\n5G/TSwBRBENJGUoOC4UbLkqHI0LQleGymICSSSQ7op+P1VeXQCTt8HMiWsMk7LQUJiQAdIZ5pV48\nIFGtz/DAx0o4Dp4XugU+EwSw6upiWCNZVE4LhRAngCGBii1SyjFD9UdbGLCqSAPN50gU+Lq23KP0\nqUzCRxAEXppVChFRrMkpbwgOC68pJ8hBM25xVhodwSj/S3eAardVGkuCILBqahF4AfCxfMx8/GnF\nanrNwJqQkHBWrvk++3GaUVrrPaOzFdxGb23jxo1nPwnAhg0bDBcjZ6uX2e8OunusicOAUXFBWTZa\n/SwWbz6KIZlu/OL8aNZYmtOCoAikOhnlYyNnP1Q1+VAxNk8D/mQoIMhJqqQvzfIYinB9VNOK179o\nwoKyHFwzKB33bJJAnjJbJUkYi96RAFZMKEC8TVIilXddFCEJfsnCdXIdF5TlwEoB/zoh0avfPy5P\nJ9S1aHQOpp2Xior3azXX2QwExOaXZYNSLYTkbI3ndku4iEWjc8AJIl6cVap4JwDpYyp7Aj7c3LN5\nETi4A2nXT8FzMz3GdRmVDRtlvJNvC3CYH2mDmTDZ8gn5GrDlznovLsuJww0XZ4LjRZ3C6x3DB+D9\n6jOYG8l6yUuk8MrlhxHmRfhTJxmK8sk7fnmOqVOz5ZTu135eatg2CwVdvb0hTmmPGa7okgFxGozM\ngrIcEJDmxo66NmQl2DXkcfKY3XBxJnYca9Pt/OcOHwCaAAIq78ud71Rj3iiPgmGaX5aD4+0BpDqt\nON0ZUsDZz8/06DwjC0fnYMWEAtz3/lFNew82+mCjSdAEUBuDa1pQloPCZDtWTCiAKIrKfFsyNk95\nZhjSeI7IUZUhmW4caw1ocEDzRmQhyUHjlFfQ3c+h4iq6a2Q2Hv6kGSFexP5TXRhfnIQQxevkCZyM\nkdREPlr9LB7dXm84ZrH3+qnYOaODb2lpQXt7OzIyMuByuc5VsX32PZgRPfq5yKZpampS/u6OrbK5\nublX9VL/HuQBGyUtUM5GhuZn9URkLiuFe96TXuC/uqQfTrW1KfX4/cbDmDfKgwHxVk2ZT0d2WvVt\neuDe2wekF1eQNyY9m1gixfPVhFMAlJADRRKmgmZLt9ZGMg54zUfFjLxJrZya6rQoixX5nEe21+tU\nVOXr0lxa8CHL8Yi30Vh9dTF4EWgLsNhwsEXZMcpqpss/rMOCshzccFE6Xt7biM4wr/CxrNzSM1T/\n7qp6NHaxWP5hHdbO8JiSRRntRJPsNPZ+JfG1mBFaqUGac0dkITfRjnS3VaHGvywnDqunlSDISh6E\nrhCPQUMzse6zE8iKt+JMZxeG1dwOABi36108Of1C0535fVfkwmWlsO9kp6aNVopA2GSOFCT319X7\nmekeLIrMUzWRnHzOypj5pB7LxyrrsWZaieH4y2M2d0QWGjtDOhK+8zOcWLWjAVMimc3qe722r1H5\n+zdvVWvuwYt6fMijEfI1NWBUFCTs0pKxuYbXyM/J0q21uHNkVJNo+Yd1ePiqQlSMywMrwFAoryBZ\nysqbOjBFp5osiyLGEq89VlmPP03LVsbpgnR7RIpAgNNCgiGBtZ+dMBwzY6mJo6ZjJo9PH+mZiR05\ncgT79+/H+PHjERcXpxxvbW3F6tWrUVUlUeGSJImrrroKN9xww7mvbZ99Z/ZtCNKlpaX16Lzu0sDO\nVi/597z0aOqajzUWn1OwJgZEZGpCJCtFYuUnp7GTuR8A0MUxGne7uswAKxgC92R5cTPSswkRrZoQ\nH433q19Uz0wrNiUwkxY5og70aE6CFd2xm+ETjHAgflbAgndrNOfLi55m3/9n77oDoyjz9jNtSza7\n6Z1kSV9QpJ10SSIIqNSAnmf3LIfCnQ2wwVkoiu08EUE5PdHz7rtPsYIKhxQFEfQUBCFASEILBELK\nbrZO+/6YndmZnZlQxO8K/P4hzOy8bd55y+99fs/DIsWuH07CfAx3IE/6f992DASg8LEUpMXeN0UC\nE34h/f3+txKRmGxkYoqSVodJO/6qVw7uHlKgAAxtNInfDc4Hxwt4e2sTBrqTDOurxvrILnx5MpWv\nb9zvxbeHfFgwvhx3RKm/XxpXhq2NPlx9URYWbDyIcarJuS3EGZPHCSLmrmnAEyMKdTotUwZ2Me0j\nv4oSt6nLHeRi5TbDdxjhR2Ssgtn7l9OSWW9l0jSZhM+M4E5NliaT1qnzOBWyNNmeurxYIuSz0aZ5\nhXkJkCsz84Z5Eb4Ij9+vqsPCcWWGQnn985Nho0k4rcbpngpmhCFEpFrEKK5DxMGOzsnL1GOWWgzT\n7J2dx4x0YitXrkRtbS0mTZqkub5w4ULU1NSge/fuKCoqwvbt27FixQrk5+ejqsoYYX7ezk0bPXo0\nli5detLfjRkz5qS/OR07KdbkJERLfpZHgCfxOV+h3Of5GMBOnaaNJk0Hd8Acn6ImlpIJp9QDldNq\nTIolE5gZgU7VuAx1Xupz7NNRUTWrmzfMa8o1ZVA+AMTOzaMgQXlAn3d5CVxWCtMr3Xhm3X5cOXos\n3vvrm1I+DPDO3dHyx3nMsnpXKe1kVm6HhUSO06LZDfvDPCxRsrXOSOfi6xUyOWaRJ1wJ6yN5rqy0\nHmDcGXnczGFdQZMSP0w8W++FpoRiWrClfE3+rZlScnzd1M+Z4ipU70xUXZf7hfxcfLoyIFTOV+43\nJ8dx6MvI8iI2NrSZEqypVZXVZYwJ9JmR8JF4tbocvHh6pGd2eyIaKw/DyDqvV/x3SZ70nZ2LmJFT\nDu3du3cvevXqpbnW2NiIHTt2oHfv3nj00Udxww03YN68eXC73VizZs1ZL+x5+8+2gQMHnnSBWlVV\nhQEDBmiu8SKBdpZAY0BEO0uAF813DKxIoCVCYNuBE2iNEGBFQsGSyIOnjSbxUJU7hjWJYkbU9y3R\n4xUrRcBOmwy8qgFZwk+4wZDGoX55TgvmjCxCkBWwcHw5/jCmVBLdG1mMWcMKsXxXM4a4k/DiuHIQ\nooSxSEtgMHdkEfrnu8CL0IX2vvTVQQSiE6O8eFJbzXG/rl4yZmTqoHxYKQLr61p1v3mg0g0LReie\nM6ubL6zVx1kYDSMd4k7CC2PLYKElIOhgtwsOC4mEqHqujSIxa3gh+g8YiD6Dhpq+UwBI8fTDQ9df\nqdDxb2hoxQOV+nJbKWkRcKwjgrYQh+MdEfgjPAhImBAZaxJftw31rZr81JOp0XX5fUMUkZbAKCyn\navtsdzMmXJABOTCMJAiMvyADVgpoCXAIsDy2Nvowa5UU1jlrVR22NvpMy0hF66DuNxQBpR2W72pW\n3qu6TVhOUK7JfSzICnhhbBkoArpnpg7KVxYdVkpivZ07shiPDi+Eg6EwZ2QRSAL4Tf8uSl1tlPRc\nhBeUttnXHMALY8sQ4nhMj5YxzAmGdbNR0JVh+a5mMCQBGyXpKsU/s35fq1JGInp9yqB8rNx9Ag9V\nuU3b0UZJYcBOg+9+6qB8NHrDps+ZmZORvGSvX9UNC6L/vjSuDM447AcvSgu6k72zxHMQM3LKDKw3\n3XQTrrvuOowYMUK5tnz5crz11luYMWMG+vbtq1z/8MMP8f777+ONN9446wX+V9m5xsD6c5nP58Od\nd96JzV+t1WFGqqqqsGjRIo3EwOkQsBmpYk6vcKNXth0kJOyIGQYmLBLws1DOgB2M5Dbs4CSvQ+0J\nPSOjO9mKJj+rUR/Nc1lw1MciyAkKkDTFTqGpg9XgSNQEXg9UdkWey4KD3jDW1rZoVHtlD0hRqh1T\nPjRWEZ63pgHPXlkcJSTTgnDL0+xgxVhUAAWAJIEFXx3G6G7pSLJRiERFxNSEX3kuC0J87DkbBbAC\nsO2IX8MSO21oAf6xt0VDfw8Ar0wox0ED0GFZmh23v1ejYWDNc1rQ1u7Fg/fche+/1veLgZdU4qkX\nF+O9PT6FlfPZK4sRYPXqr3kuC344GlCOPuS27paRgN+8V4PfDy9E12QrIkKsblYK2H08hKdU4NQZ\nFQUoTLGjvjWoY5QtSrGBA7DneAAJDIn5USDi+PIEDN91AQCJpdeZkIimDlYDkJxR6UbXZBv+/O0R\n/PriXATYGKOtPUq6lWqn0RHRqsISooj61pAmrekVbtS3BEGRQGVxquQJokm0hjj4I3ysTZwW1LeF\nkcBQaAmyeEaVxtNXluKv3x9VNHFk78yV3dIxb02DonIrg5FdVhqPrNyH+VeU4G9bm3TP3dg3BwkM\nCYqQNHRoikSIFZBgocAQ0vGiL8yBidZZxh2l2GmFgdVhoUAA4AXpqCs1gUGYE0CSBFoCLDhBCon+\n4EdJA+aBSjcKkqwgSQKCIHGNJNISf1CY17ajFLlDAoSEJxMA+KLffaKFBE0CQVZEhBfA0KRSxggn\nqVmn22JjjS/K2JxooWBnYKj0qyZOVI9lvXKdGNM9Hck2GgkMpXtnRckWMOdVe42NoigIgvbsUcaJ\nlJdrdQGSkpL+6ybuc8k6Y0j9qeKHTqcTb731Fr7ZtA6IXA8AuO66azHyimoMGDBAl/7pKPH6TMjL\nFld7kGoxx5rwIoGdJgueJEbyxkSUMF5pULOQwK3v6mmgl0z0QNCs70VYaQpPrd2rKdcLX0oU4JsP\nejF/XYMEKFynVXKVfyuD6ozcuXIILQFg7b4mjcs/12nBEV8Aya2fwSICR5JGgqYZ5DotiqaNjaYw\nfcVuXbovjitXgJvKQiLdjiwno+HwyEm0GIIwCUJPpvbM+v14eYKk2isvXsZ0TwcIAg+uOYLQFY/g\noV9eB+A2AMBV11yLoSOrcWHf/nBYKNxysQvX9MpWJqv7lxurv8oLEXVby2rBOS4r9reFkeOyKs8d\n93M63R8rJUVBuZNtSvi2jSbBCgIO+SJS3V1WPPxpDEPjDceO7Z5cW4+nx/bC/HW1mrLIYM1RnjTQ\npDGjrdNK61Rh54ws0pGuPbN+P+aNKsFhbxh3vlejA16q22TmyjrMHlGkLETkNHxhzlBL6Y7+eZg5\nrKsOjCwDm5NstOFzkwfkKdEqh70RDaB6WoUbpWl23LfcGHekjkybXuFGeYYdjd6IAvaUjwA3RhdH\nC8aX41hHBBaKgMtKIMgBoehiBJDCiN/45xEl7LktxOHTmmbc1i8Pk5fVKN+4GufeJc4AACAASURB\nVPsBAKxA4I1/Ho2Ff4ehPAeIhpueByrdWLuvxWTskeqpHsvkyKlXJ3rw2jeHMSqKGQOAD388jtv6\n5SnPnSt2youRnJwc7NixA6NGjQIgUb7v3LkTRUVFuuiZtrY2JCUlnd2Snrf/F5M9F/F8IEuXLjX0\nXJyJEQSBfgMuQUvzYgDAY0MvB0jjrng6RGZnSiB0sgWPn5UYINVmpj4qiNIEow7VMyPokgfNMC8q\nYaBmgDZOEA1De+WQ4KevLNUB6N64yoMvv1iHWclTAQBFs67E9b/8Fa65ogqV0XDQx02US5s6IrqB\ndcH4cnz443Fc3ycH7SEOLC8iIohKiK5crikDu6AlyBrjLVQoXHlAlttyQEESygouVoi0DvW8DgmF\nZXjzu6MKjbnTSmHa8r2dkJ4Z94EgK2D2iCLQkLxjk+MmvgivfcfyBHnXB7sxZVA++uQ4UNOsnYDU\nZF2ju6Xj2TU7Ua0CsKrbUFtGAR/vbMbkAXmdLtjUZkZEZ6EJxYt2MkI3o761q8lvGP4qiiJmrqzT\npSUDm81I0zhexOQPd2NRtceQRfb5McbfTUD1navbIf5oUgbUbj7oRUuAxcyVEs/IorjFzENVbuS5\nrOhfkKzDM8mkf2abGl4QDZ/jo5U32vTIEUjq7y9+7DEayyAa58XFI8jPATvlxciIESPw8ssvY8mS\nJSgvL8emTZvg9/sNMQDbt29Hfn7+WS3oefv57acypJ6WkTRCmeZAVVmoTxRFzB1ZhI9UOzQJKGcA\nDDsNEJna/KyA3w7OR/dMB/ys5HZlOQFhTkCLSBqWwYw8izfAdliokyuj2hm9kisQI+CK8CKKUmwa\n74wgiMhKtKBblgOCKGqe40N+/Obm6/H912sxK3rs0bR5BWZ/sQJrKqrAjbgPPJOAVDtjWI/4txvm\nRUXu/NtDPjx1eQlYngfLiyhJt2PheA9CnHTERUYjfQzrTJP4w+hS+CI8MhwMGJJEmBfwwphSJFpo\n3P/h97haNaG/pJp8/rjhgLIzP11iNhtNYs7n9abhzkaRUQFWAtuSBMCK2nBbqY6xNjea6DsDJw7p\nmoyD7WHTBduNfbIwpGsKQpx0TMALomFaCQylXDsZONSoPN2yHNhz3K8Lfy1IsRmmJWNJaIo0Becu\nGF+OgMnCyAx4bKMNAMSdRPpYKUl6QXlXER6zhhcqvC00RYKKK6PcR3pkOzBnZBE+3tlsuKmhyNgC\nT05/YdQ7CZgv+hxGpHSqsccISM9QZKd5nUt2youRoUOHora2FqtWrcLq1auVa2oMCQAcOnQIO3bs\nwC233HJ2S3refnb7qQypZ8uMcCJToxEaDEnghr450d0eqYBQOzhpQDTa5anBYEZqxElWaTCUiZgG\nu124oU8OIpwInz+Mj3Y2Y2ujTynDtiMdsBqQZ0liZvoB1B/hDb0H/jCv7Cj5qIfhs90xemmZEGn2\n6nqduqqVIjC90o1UOwMCQDDCY87IIsxcWYcQJ6Dhr3PQWrMFCVbobOP6tXAd7UDpr58EJ4qKl0Tt\nKdjb7Nc8I0981/XKwrCSVDREsRRq0iZ1GXvlOnHf0AI8/0UsbPXeS/JBEMCh9jAIAghzgvLbIV2T\nkWQ3HuRF1d8yiyhDGpOXWSgYtjVNnixsUx8ZZaVI3PfxHkyvdCORIXU72JnDCvFApRvz1+0HAUAk\nE3Dx4c+VND7b3awjSrt/aAFIAsoiy2hidlpIQ7K650aX4P7oEYdcL2+IU9KQwaHx/d8aBYfKYEl1\n26QnMGhxWDWifFMG5SPE6vvs7wbnA2KUC4UTNP1GrlsgwuG+5bWmdbOakdXRwKvVHmXxtaG+VdHP\nMVoQTatwK94DK0WgNSiRCs4cVghfWKJ7f+bKEkOvgy/MYfbqeikazWCjEjChcA+wkpfDaNE32O1C\nW5DVYXrU5GVGpIwBE89vkBWA86G9xkYQBG699VZMmjQJx44dQ0ZGhiHle2JiIp588knk5uae1YKe\nt5/ffipD6tkyo2MTGTfR0BrSYBkerOoKl5XEw5/VYeawQkOyqLL0PFgYczCsO8WuPOewSCC/uz/a\noxnASJHDj/98C/f3y8UezzAYicY9GyWhih+o3t3ehPEXZGgwCRaKgAjgkUu7KjvKLslWVLuyQBDA\ngvHlIEFgygfSAqmiKEVHTqXGmEwdlI/euQ4sqvbgyy83YErNlk7b2Lv7G1yddhxWqrvOnf7M+v14\naXw5yjIcGhZZEiK6ptrR6Asrg66aC0VdxpI0O1LstK7OR7xhhRxOdqvLacgTmNpkb5H8d3uI69TD\nsbjao8O1WCgC249Ki6vOKMLl6/LEaqFi7by42qPbwc75vB5LJnrw4rhyJapFDXa9tCQV3TJsOrXZ\njrA0ARnpmkwbWmBK8rW42oOZwwqRZKPhDXOKF0BOgyT02KaaY36EeYmuPMXOIMJJ3h47TYIiCVgo\ncy9Al2RgcbUHB9vDCkAVkNKiKRIH4wjFeEHEPdHvxqhu9w8tACuYE7rFL74EQVQWLjLg02ml4bBQ\n+KKuBe4Um04LhiCg4pihDOsmk8C99NVBvDbJg3ZW0rRxWiTZCBtDGPYR2RvrNGBsvrFvrjIuxb8z\nmbxMJmVUt6nZgsv+E6U3/hPttBlYk5KSOsWDJCcnn9el+Q81NUNqZ2bGkHq2zAwnYkYoJrvuRcCQ\neOiGPjlIYghTbMhL48uVHdTMYYU6kN/Crw7i0aosXLbrCWAvcGPjcjw7tqdhGZsDER3p1rCSVGxt\n7IAn04EUOw2aJBS6cfVZ+70f79Wkt0CFSzkZOdXXB9rgsFCYv64Be979yym18x9e/x/0+MUAw3Rl\nMTF5crhvaAFSbBLZm1rkTn08oS5j/OIJkAZZeSJQu/HlNJbvasatA8sw5Ks1SttNjU408ZOOmSCh\nPyIgyUqDoWMRFDQBzIriH0TVBKdeAIiCqJsgi1LzlHTNdsu+iID2IIu8JCsSLKRmEUSTUgRSPDDT\nHuV5kY/85Hzzk6w44g13KvA25/N6PDKsEL9fpcVzzBxWqMO9yPbSuDIEWQG7mtqwbMdx3DWwC/Jc\nVjz8WS2eN8HeBCICkm00gqygy2vzQS+WVJcjL8mmeFRsNImnLi9W0lLXLcVOw0KTWL+vFTlOiyk5\nmNFEvnZfC16p9qD2RFDHkEuIUITy5PzU2Boz3FJLQAqu6JXrxJ5mvYdPLVqo8WgJIaT8+FvpWc8C\nDQOrWf+Ix6tRhIgQJypt+sZV3Qw9eeeWT0Sys0YHf97+8+1sMKSeDTMjKbOakG7JWC+zM3p5R2Oq\nJKo6IzY6+5evq82MUInlRayva9UIZ+W5rMqOefaIIoX+fWR5uuasPT69BEa7WzfKTx60RpXHPBSs\n79RC9kLeFtM2U7O3hnkRz39xAIujESnqZ9R/q8totngKsYLOEyGnYTQ5twU53NAnG6ODnGbSsXZC\nerZ6bwuGlaaiJcihNcih5phf2aUf9kUMvQeHfRGFZVS2a3vnKOmaCeUlMCQYygJOAB5dpRfoU4NR\n5Un21YkepTybD3qx7UgH7hrYBat2n0C/giTkuKym3puZwwqRG3d/80Evtjb6TCOuHBYKXZKsCr7o\n451S6G6YFzslBrvlnV141SRNmiLxRZ2WsI0X9X2JIKQFwrGOCBpagxhemtoprkXdV2Qm2tv66YG+\nsvdGHXkGaMkKWd4YZ8NG/6+mg1d7+NTidyl2BgxFYEN9K0qTbbAfXwEAsHheiIvCMe+PnZGe+VkB\nR31hLBhXLh1R0STW17WiKM2OlPPHNOftXLV/FUNqvJkJ3sln3/EfvAyqM3INy0J6vEjARhu7X9VM\nm2aTs5qR9LHhRSAhYkalG0+r3PJ3D5GImrYd6cBlpalIYCS3cYgTlN3P8l3NCr+GKEpEWBMuyFDI\np9Q7JPW19XWtumga2VMAaD0UjDP1lNqZcaYYttmMigLsavJr1UwhYV/mjizCzqbY5K7GIajLaLZ4\nSmAovDC2DBwvKMcay3c1a8QFyeixUHuIg5/lkWOz4v7lezVpbWhoNRWTu6RQ8sym2mkkWCi0hzh8\nvb9dOU5heUHxVkj1lTAy8eBDK0ViiDsJ1/XJBkRg9sgihddEPrqyUBKOqT1ssvjiBPTPdykTXJiX\nGGs3NrQpk52dIRHiBOS5rCBJmIoAEtGyHfWFTev+3OgSDW9JmONho4DJ7+1RuF1kBd8XxpRChP54\naUaF9K09N7oUVorQ9fPpFQWgAFx7URJKG6ZCEIBDZS9CJBgFJ6TGO6m9QjbKuB3V066imkwQmBsl\nCuyV61Q4TUgC+HhnM4KsgLkjixWOHInTh8SDVV3x1NoGLN/VbIhbqjnmx5yRRUiy0QroNX4TIkd6\nvTi2DG1BDp4MBwSBU+6zIgFvhFB4RijCWMgyfjnBi9Lx7NNXlqIjzCGRIVGQYtMcUd03tADOc5CB\n9ZRJz851OxdIz0RRxA033NApiLWqqursRNOcxGSgqZqkDNCq78pshTJmJMyLGOJOwg19pR2tnSY0\nz/1jr5ZQTH6+MMWG30Qnp/75Lgzuqv3N9IoCdE3kcdG3ZVJaF+8FY3EYkDcJsNISuygnAAGWh50h\nQQIQRBEURYLnBRxsjyigRnmw755hBy9Kbn2ZjIshgYPtYfAiQJMEshOlHXiQ42GhSLz5z0blqOeP\nY8uUM2vvvq3Y88r9ADoXJCz/zfNwFvfEdb2yUFGcgnC0/Ak0ge8b/Zrw5KmD8hXyq6mD8nHUF0a3\nLAeSbDQcUdImlheUMpIQUdcaMiSKkzk0BrtduL5PDlheQLNfC/57oFLC8rz+zWFwAjTKpjaaxJwR\nhbAzpKb9IxyPNDuNH4/pyac8GXY0+iLITrTgaEdEQ5ZW4LJizwn9M90y7dh9PObGv7QkRZnY5DLK\nIMSSNDuWbDmsi+653JOOlgCHjQ1tCj3+4moP7nx/N6YM7IL8ZCuSbLRGqr4g2Yq2UIwMTaa0/59t\nTQr5WEmaHSIAX1jy7oQ5AS0BFkFWrzZ7QaYdQQ7ghVjfkxcLXx9ow6jydMWDoSaP+/U7NZg1rBAk\nIZGDyfchAl2SrAgGvfjF9x7lmwiJUl0CnAiKIHDX+3rOkz9N8mBvc1D3rrtl2HHzOzWGKraLJnjw\nY5O+P16U7UCQF/FW9DuQMWQXZNrgZ6Wxwx5HApdso3Csg9N8f1MG5SM/yaooG6vLqxZ57J4movSr\nEgDAN71rQFudGrK6/W1hlKQnaKKShpekIokRlTEtHrNmxg3zSrUHKZafb2r+dyQ9O78YOUU7FxYj\ngDnPCGDMkHrGJnCwNX8KAAilm/OMxJvZIiX+WkZailK3dpbA7ctiiw15h5XttMAXYpHhsGiYReXd\nsCgCJwIs2kMcHGQIo/f2AAAMb1qBP07oje1H9QNk71wHdh0P6iTZE60UZq2s05GaATFOi/o4OfMZ\nlW5kJTJoC/HIcVo1g7u8e0yy0bDSJDhBxFGvBCwNcQLq/vwwWjsBsfYZNBS26kfRO8+lG/wfqOyK\nhtYAStMdmol1VHk6Zq2qU44feFHUgGxnjyjS1E1e5EQ4ARZaGpzLMhwa/gorReiUY+Xrs4YXKhM5\nAGVH3x7ikOO0KvnGt6MZ8ddhbxgpdgZtQVYTpv3qRI9GEM8orfi6xf/mtUke1BzXLmimVbjR0BLE\nu9uPYeawQsyNMpr2zHHgQHsYiRYKzX5Wt3goTrMb1kEWrJPbJsgKaGgJ4u2tTSet++T3ajR9T65P\nZ/3xlnd2Yc7IIo2yrXz/tUkeHG1rQ8WO7gCAz7v/CJJxINdpwfV/34UnRhTpsCYA8NqkboaLlMXR\n0GpBhO7+c6NLNeRy8jMLx3sw5YMahQht80EvBrtdGFaSqvmO1PfN6jNvVAkao+BqtedRvYh8ZVwB\nLtgsLUY+Lt2O+V8e17zr0jS7sqmRsR+9cx1w0lJe6nFItoXjyzHlAz2z8sLx5eji+Pk2fP+Oi5FT\n1qY5Xftvm7jPFZMZUt99913cdNNNuOKKK3DTTTfh3XffxVtvvXV2FiIACDGC1J2TkbpzMggxcsrP\nSaq8InISCCQxIihCNLymNjVWZPNBr6IFctQXwcOf1cEbjsnZPzGiCCPL0/DGt0cgiCJmraqDJ0OS\nS5ctzIumWjGsAF10yvx1+xHhJaIlJu7oQv5NICLoGDafXrcfbSEeM1fWIchqQY2bD3rx8c5mNPki\n+O0Hu3HX+7vxeW0LXhhbhvlXlGDJn/6EwRV6DiAAGFxRhX63P44/jivHHf3zdPWYv64BA90SoPf3\nq+owe3U9+hckK0JtYV7EYW8YdyyrQZiPta2a8wIA3t7aJP2GE3HHshq8+V2ToRpwZ8rBss7N5oNe\nzFxZh7YQh1mr6hBgzUGeRte90XDPKR/sxhOr6zG4azL650vq42aCeH4DkK3Zb8yiqzyZDoR5ibH0\nkUu7YkNDG7xhATNX1iHJRhtGzZjVQVT9LYhSP6soTjlp3eXr6jqIqjTNngHMydYkHEhsjH9ybQOa\nfKwOv6U2K0WYvmsJ6CnRsMffNw3HjvYBuY8AEnYq/jtS3zerD0MR6JJkxbxRJXhpXBkeubSrshBR\n8lOp9soAdfnes+v3QwCUMUR+1z7VM0aYNfk4M76d4nlXzgU7I8zIX/7yF1x//fWm94PBIJ5++mk8\n+uijZ1yw82ZsPydVu2wEQWDgwIE/a/juz2URkUAHCxw8IBFgJTKAwyRUj0CMrMiM2nrOyCKIooiL\nsp3KEe6jwws7HVTNBm8ASLUzpoBB+fxaPQDKzxmRfDksFB78JLZjVEvcc4ITz73yJm76wzto+WEd\nWF8rGGcKUi+qxHP3XYWpH+7B9o/2mDJiHvezugF9wfhypbwORiJ4AoAXxpSCF4BkO21IRJaSQCt4\njFyXVSE9k+93Bs5VT8JWikCu04pXJ3pAEcRpkZ4ZifktGF+OMd3TNUBh9TPqNs9KtJj+RhJA5CHy\nYTyZ+qTUR1oeQpi3KARdNoaENyxF2DgsJAa7XZ2SZ3UGVla3jVpBuLOw5dkjijR1IFTpmLVj/3wX\nsp0WPDGiSMFpyF4CVgBe2XwIV8UR1L08QfJwfLa7WYdrebCywDSU1WEh0c5KR0Tx5bF38n5k8jL5\njtniSr6iBriq02qPLnJlL83ftkp6Pb/smYVEK4XWAIsEC6dJMz6PoGrhkWChcE2vLAii5BFJpI3H\nIYY05sVhzr21yJktRlasWAGLxYKrr75ad6+jowNz587FkSNHfnLhzpvW/j+o2hU7w2OUf6VFRALb\nDMSqLsq26wCxMvjTShGmgEFBEDF7dT3mjizGJUXJwD4pn6fWNuDZcb1MFxWdAWA7IrwhjTbLC9LO\nPUqsJg/68nNGJF8zKt3olevULKLCvIijvgjmfl6Plyd4kF7WC87inpqyqD0cZpODEQNrS4BVgLoB\nVgozjSc9iydQm1bhhiiImmtq/Mm0CjeO+yOm4Fy5LHK+R3xhzPm83jAvWZE4Pq3pFQUKJ4dROz03\nusSYiIuCkodRuOf0igKc8LOYvVo67rDTAobbvwAAPE7MgJWU3t/UQfl4bUsjtjb6FBBnVXGqOVus\nQX+8f2gBao759X03qiA8ZWAXmBKKUdDVQQYe7232G7YjQ0o4nXgyNIYk0L8gyTxaKhoR0r8gGQfb\nQnhxXDkEUVQIBsOCeRlvfqfG8L0avR+1FMLUQflwWijYaNJ00Sj3IVmNW6YIkNtODh+/P0oSV1Wc\nis92N2swZkl0CKuzYmmGYmsTSBFGhGk/f6jKjQsz9eMQRBjy4pyLi5EzwoysW7cOixYtwjXXXIMJ\nEyYo19va2jB79my0tbXhoYceQklJyVkt7L/Sfm7MiBEzqPq44ecAl3Z2bkjwAeR8WQoAOHLJXohU\nwmnURmtGdaMF/1lLX7aWCGF6Zp7ESLiS1hAPX5QwatuRDjxYWQB3ih1/UoEP5XDb2/rl4bA3DDtD\n6c6s48+m5UE1FFXrjQfAOlWYETm0V53Xrf3y8Ot3dinYgLlrGvC7wflwWimF5MuobrOGF+owGDK2\n4A9jSnHUF1GE4+QJ/YLMBNz4v1JeSyZ69Eq8FQVYW9ui4YKQcSKAtLvf3xaWvDMMpQD/1GHLIgCn\nlYIgSvLyrSFWs7NW4x8WVXvw2pbDqL4wCzRCKKq7G43eCKY3zcA9FSXIT7ahqSOiy8sI6yCF7GrB\nnwxp3C9k3MuG+laMKE2Ngocl3ghBEEHGPSfjdFLsDBIYEiJiHCL9810YWmDB1Q3Swu+ypk8wdWg5\nitLseOXrwxopA/ldvjrRgx/i2v6ugV3QI9th2B9/fXEejvjCSt+dXiEpCAd5ERaSBEUCu4754cl0\naMKWu2U6cMs7uzR1SI1G8QAwbRtBFLFuXytqTwQVnFV+khVyMOs973+P1VlXAgAuaVwOkUzA4moP\nWEHigUmx02BIwBeJEYoJIky/tUPtYSTZaPjCnAbTM2dkkYJZUj+jxjDJmBNeEHGgLRQXHeRGfpIF\nNEUizAkQIAHCWU6EjSFBEEBHmFeAwsl2Gn/achg39c3VYJksiGBO2pPomePExvRnMP/Lo6o8CtDQ\nGuwUZ7VkokdSE1bh23gROOKVhBvVIOYclxWp5xiA9Yy2u5WVleA4DkuWLAHDMBg9ejSOHTuG2bNn\nIxKJ4NFHH0VBQcGZJH1Omhkz6EWZdmVB8u9C1X66Zla3nmlnH5x1MqG8JAZIpCl02Cjc8oscBeza\n6OdNiJiyMXt1PZ66vBjH93yP1h/Wg/W1gHGmwntRBa6+aBIWjC9XAJrr97Xi7a1N6J/v0pA97Tke\nQKqdwYLx5SBEUePhiJGeCUp5ZXyBHLY7c1ihqdaH00orO0FduK8IJFq0arSiCIS52I6wXYWXkQf6\nmmN+VBWn4ttDPk26FAHUxYFsp1fEvDMOC6WQxxlFRai9Pmr8QzASa/9LujB4XvwU2QBeGPMK1u0P\nIsnGYObKOjyhEvUzc8cfag9j5e5mXN8nBwGWhzfMwcFQuvDVKQO74NXNhxXvDMsDh7xhiABag1KY\n+I19sjV5yOGeT4wown2f12P+FSXK/c0HvbCIDGRf8YxKN1bsbYGVTtd5ruSjvPZQrO2TbBIwd/mu\nZhSl2gz747W9pCixK6PhuVKUFnC4PYxn1+/Hc6NLTUnP4uuwZKIHdS1BZCZaDNvxsDeMudEokguy\nHHh8dWzHf/eQAnTLsOOugflAdB1so0jcMbgAHC/ijvckNfc/ji3DjBV7NX3hudF6QUdA+tbiadvl\n8gqiMZnhyKjSbZiXMEEzVkjh34PdLrw4rhwcL6IlyGr4aQDpWPHe6PGmHNEVYHml/W+7OAf9C5Jx\nNE7oMAILZpx4FE/0LUI4zGlIzwgAHRFBVwe1F1LWwVGrhx/sEPDwSj3Q96Vx5Z2Ke/432hn73ocP\nH45IJIKlS5fC6/Xiyy+/BEmSePzxx5GdnX02y/hfbydTjQX+fajaT9fM6van8Z0vVlmRgI+FEsef\nyABMHDA13uPSmVAYL0plYXlpxyv7AwO8hL2IFybbUN+KBAuFgL8D995+I/ZsXK/J+/imj/BAzXI8\ns2AxCGsCGJJA9ywHgBgJ1YLx5Vj6bSNu6puLox0R+FkeeS4rDqhotBMYCqwggBViO0BvmNMQcHVG\naOWyUlgwvhwsJ2q8DwCQaKXwkEEUwuJqDxZNkDg3eFHydMhGEEBDaxCDC5N14mkiHIYy9rOGS0J2\niZYY/baaREr+ray4urXRh2ynBX8YUyphYggCL08oh4UkEQr5gK1SWUgCqCxKBYiYqz0e82Dkjpex\nM2rvy5KJHqmdokcJJGKT+qc1zShJy1PSSbRSuLpnFmwmWIVspwWzhhfqSL6+OewFoioYT6/bj99W\nlMMX5nSaK3aGxNyRRUi0UCjPsCMr0YIwLyDbaUFJmt1UBDDBQoKhLWgJsOAEEStqJI/awbYgFowr\nB0UShv3YSMCNJgk8vW4/Fk0w7lcyJkV+v+r3+McNEgHe0Q4WralXQhCAZy4ux5cHguiWmaDk5bRS\nmNQjE55Mh9IXzL7RBAtl2Fc2H/SCJIxxLWoMjRoTpMZOUQQweUAebuiTrXgd1IR+nCBFzLmsNLwC\nB5qMiQDe1DdXKasoivDVbYN3+xd4dnUEWVmZuOyKMejWux8oQhpfku20BvcVj7NiKAkXI0LyjDgY\nEi6rmeDjuccz8pOAAFdccQU4jsPbb7+N3NxczJo1C6mpp0a4dN5iZsYMqlaUVFO1d8Yd8XNTtZ+u\ndUbtbmasSGCrAfajV7ZdWZAYeVzmjSo2PFtmSGOeEflct3euw1CYrD3IYt/bs+Hd/Y1hOTesX4vL\nr74BxbfMix7HuDF3ZBFmfy6FcO45HkBlcaom3cUTyqW8VGfx6rPl6RVuJNv0Oim8IJpItgv47Yd7\nlN3n1kYfAOl83CxKJMgKaPSG8cz6/fjTRI+h4JwgCPjtR7Ua7EfQJL3E6ASjpt8281wAEoZi/b5W\nZDutCv22vHMmhAC+jE7oFAH85n0pbHZ6hVsjIlhzzG9IMlVzzK/kpfa+eMMC6luC8GTYsa89rOkD\nsqx8vEfHjBZ8/b5WJVxXQwhGxVZ1D1S5kZNsR+2JoK5fHfWF8cTqekyvdOPC7ETN/WkqTEn8O/FH\nOEUoTy43CSA/2nd/P7zQsB8TEHVpye9SEMWTtqNRBBQviMhLScaY9fdL6dbsV4QK4zFD6igrM3zW\nEW9Yl4cY7cfJNspQlFLG0JhhgiwkgQArKMdQct3THdIOT+YUiidmIwD0L0jG0n82YsqgfPxxTQ12\nvfmEMg4cjebxt7eWoqDnQDz63EK8vq3N0Ksj46ymDOyCNbUtSp9Xj1mXlujftVpg71yxU1qMzJ8/\nv9P7NpsNDocDS5YsUa4RBIEZM2b8tNKdI2ZGfy7TmAP/PlTtp2tmdbN3gtDyseZCYalR0Skjj8vD\nn+3D4mqPZkcfZHkIovTbeE6FMB8T4DPK76bsE6YLEdnaarago+4HEMU9WLj95wAAIABJREFUlTLO\nHVUMEoDLRms4E8K8CJEgdHm9pNoFymnILmALTWD9vlaUpNkNJdsvzJZCRzUU1jYGrSEWLC/CSbF4\nOGkeACnCg6CssDOkUgZONG7r+N3ws9FyGb3LJBuNeZeXINkWOzIy81zkJVmxfFezxnOi/tum8kzz\nopS3LK42qjwdSTYKi6o9EEXg9W8O69pjVNR1Hx994rCQ6JJsBd2JZHt8WdRtKvObyHmEo4uXRdUe\nhUnV628Hdkp5Pr66Hi9PSjFs20XRvJ5ZZ97Op/JO5HLLC4kcp1VRnjbKL/5bkgDSBNYZCNep25GM\nOy2wUgQoUt+P5XTj67NI1W9CPDSeQdl7U5bh0OWR57Ji5rCucFhoPLO+VpfuyxM8qChOASeIyiJc\n/bwI83EEgKH3Tr4v9xGWF8F/8qzpOHBg2ybcP3Uyim+ZB4IgdB7ADIcFM4d1xcc7mw3zC3KCspiN\nL4MssHeu2CktRg4c0J9Dqi0xMRGtra1obW1Vrv3cDJ3/TWZGf56oejv/LlTtRtYZ+DaRhg69/kCl\nG3arDbsGN0rPCCQSydgzJ8N+AOYel44Ijwgnws/yyKAYOBga3jAfDXcV8dvB+eie6YCflcBiO5v8\npvl9tuLjU6p/yw/r4CzuqZTxf7c1YXS3dNBxk3FndVPv4v0RHhaahIUCEmgCw0tTwfGCRg5dicLh\nYh4mGQ/w/OhStAQ4bD7QjMkDcjC8QYrwmE8/iKlD3YAY81KYlcdoN8zxxt6ZtiCHw+1huCykIU18\n/G83H/Qq2iiAsRcFkKTcpw0tUDRK1JiBl8aVmeII4iMkZlQUAKIkRPhyVKgvvm5BVsCckUWgSe07\nU+NEZBKviT2ylKMIUQR2Nfkx0J2EmmN+DFfKV46gGT9GhFdCUo3a+XTeifq3fhPulUCUM0R9jeMl\nwUA/y0PVhUAQ0tGF7JWYXlEAKxULSZXfo5kwnJqLQ77GquQQ/BEeb37XhDe/a9L87o9jy3R5rKlt\nQZbTimQbbfLOeLSHeA0FvHqM6Yx3Ze7IIlAkYUgzr35u9fovdUe08dZWswX5HbU45CxV8gAkNWVB\nEBSAubrPy2bGexIvsHcu2CktRhYuXPhzl0OxVatW4R//+IdyLJGfn49JkyahV69eym/+/ve/Y82a\nNfD7/SgvL8ftt9+uwamwLIulS5di06ZNYFkWPXv2xG233dap2vC/0mRp6SUTPRoWUXU0zcCBA1FV\nVXXSaJoBAwb8fxRZsVMB37qsWjVTO01if3tEoXCPf8bsXDlRdY5qFpLaHuLQEuBAEkCYE3RMqJmJ\njLJ7lF2iZvm1nzi1Iy/W16o847CQGNJVWjQsGFeuSzfRJC/1Lj7Mibh/+W78cWyZwuq5uNpj6Bnx\nZGqjkKyUpJexsaENkwfkgQ13AA3SvQeq3AAlRV3IZTCru9FumKYIwzL06JeHd7c3oUe2Q3PfaaEw\n7/ISSbsl6lXI6yHFRp4M/wEAdgsJG23Mn2FW7jyXFQvGlaEjwiuYEAsl6RINdrtgN+k3fDSM+wXV\npGj0fga7XWgJaFlTp0WP1gpSErH20FDwIjDv4314dlwPw7QsNInZq+ulkFQrpWvnzvhCOvutwwTj\nkmDwHE0RyHYycFkppb/K9Zk6KB8FSZJXgiKARCutf+cGwo5SXqQuLwsteaXmjSoxrZvLSikeKG80\n2m3zQS/657vQIzvP8JnWIIc5n9fjwaqu6JFp042f7ayxd85hoXD/8r1YNMFjWHd1GVt/6HwhIpv/\nxy/R/6q+SrRYltOiayejfm7Ge3IuYkaoxx577LF/dSHU1t7ejp49e2LChAm47LLLEAgE8Prrr6N/\n//5wuVz44IMPsGLFCtx5550YO3YsampqsHz5cowYMQIkKX0Ir7/+OrZu3Yq7774bl112Gb766it8\n/fXXqKoyZqQ8FQsEAhAEc5zDTzWSkM5TnYzEMxA/GRAEgcsuuww//vgjDh9swCPjpOvzPgRYPkbV\nbrVaTzlPu92OYDBoeI8QWTgPLAAAdLh/B5DGh5g+jsCMT/YpHxMvApv2t2OUJx02Srp/z8d78Y+9\nrVi7rxVr9rVifV0rBnVNxj/2SpP4L7q40C3LAR4kRIIETQEFyXZ8d9gLXpR2aFMH5SPPZYE1Otax\nIqH7zZRB+WhoCaIgxYaiNDse+Uxbrq8PtGNIYSxfXgQ2H2jHhAvSUZbhwJYD7Upa0yrc2P/jt9i+\nbdtJ29FZ3AvZPQZheoUbOU4G7/94HL++OA82hkTPnERsVqU7pls6ftHFiariFFQWp2B4SSqGFiZj\n+a5mnAiwmDooH0k2Git2n0B1j0w8HK1Dv3wXuiTZ8NTaBqyubcWm/e24rne2olLLi8AQdxIeqOoK\nC0WgX74LDEngrW8P4DLxzwCAuowpWL67HX3yXOhf4EJFUQrS7DTKMxyaMs6odMPBkPiirk3X/hkO\nKwhCGiYpgkBJWgJS7DR657lgpYDcJBsEUbrPC5Io3bvbj+Gd7cdQfWEm8pOsWLnnBLxhHpN6ZOG7\nw17N34TI4tfOvwIAtif9BnPXHUb1hen4Rb5UXrnN0hMolMWVe3qFG9mJDP60pREFyXapHxNSZMxF\nuS70ynWBJgF3ir5vFSRb0SvPiW2NPozuloGvVelOHZSP1bUtOBFgMaPSjd+vqtP0qy0H2nGFJx1b\njwZQ1ut6kF2qceUF2dh3IoDKohRNWtMq3NjW6MP3Rzrw3WEvxl+QgVV7TmjuZzgYRQtH3UcyHAxW\n7j6hqW+uk0FJtO8WpdlRUZSia5MkG4WVe1o019ISGHREJE6Qj3ZK/VXuk+v2taB7ViLuX16LDfVt\nGNMtHQ9+Wqv0u6t7ZiE9gUb4wHas+d8/49iWTxBs2I6r+xbgotKu6NvFpZR7eGkKshwUwrwAu4UC\nRKBHdqKmTWZUupGTyKAlyEMQRWQmWnFxvhQ637/AhQSaQFmm9l3fPaQA/9grYTC6ZTkgQOIQSbES\nsFMiSAIgSAIl6fo+EuIErNrbiqFFKXgy6k2R3+V3h70Y1z0dnmh+Rzd/gtCxzk8GAKCdTsaDd1yH\nTfvb8UCl9A57ZCci0RorgzfM4/Z+eZr36mAoXJSbiG8OejXtkediQP+MjpHOxv6zbRRFweFwnPR3\nZwRg/eGHH7Bjxw5ce+21hvf/9re/oUePHrjwwgtPO+0+ffpo/n/NNddg1apV2Lt3L7p06YJPP/0U\nEydORN++fQEAU6dOxe23344tW7Zg0KBBCAQCWLt2Le655x507y7pJtx111249957UVtb+x/NfSJT\ntX+zaR0QkRhwr7vuWoy8ohoDBgw4q0djIpWAxsrDJ/3dycC3Zvdll7MRiOyBSgnkp96NLd/VjNJ0\nO5zRL9QXEbChoQ0LxpfjqC+ihKRmOa2Yvboez1xZesqu7raQgPQERnOOzQsiLhg8AnhTOhqzMsBb\nd0rP3LAICKsoZx6/63pcMqQcjd4wWoKx45RJPTLRMzcxLrRWcsE+E+exua53FkZ3S8fyXZK8O6A9\nQtnZ5MdAt0tTxgjHgyGJ6I5S0jm5WwVenDuyCAPcyUr45VNrG3DrwDKwUTfwU2sbsGBcGRIYreeK\nBOCK2w0v39UMT4Yd3jCvUGHLYZ7tIQ4NrWH0zXOgI8zr9HV+2TNWt4xERgl7ZnkR80aVgCKBZBuN\nxdUeBEJ+tO8fDVEUkeOyK65/X5hXztatFIHnR5egONUWxdZIR24QpeMW9XFWDKAqYOqHEuNsfCjz\n8l3NcKfYMHt1Pe4eUoBslwUvjC0DL4gIc9LEdmW3dFzfO9vUrR5gBQVIqvaYlKTao9wnvCb8W37O\nH+E173T9vlZ0TbEZtnOWCKmNIgLsFhI1x/w4EeTR0CJhMMKcgGQrpeSXYKHAcgIoktRcW7evBXPW\nNMBKEVg4vtywvVhVqHmYEzX9gw92YPLNt2PjFzEvbRuAxzZ+iI8GDQVz5XTwTAKslEQwBgCNXlbB\nfQx2u/DC2DK0hzhwgogUG4Vdx7Uh42pQ9+yRRUiOKuyqQ9RL0uzK927kYSUBuJOtmrpHOAF//vaI\n7vtSv0tvWBK4XFztwWP/LMKyHRtwMiMTU5BspxV8iAxG75ltR69sOxZXe8DxIg55w8pxkpWSFHoz\nHRZN3WyUnnTwXLAzWowsW7YM6enppvdbWlqwbNmyM1qMqE0QBGzatAnhcBjl5eU4duwY2tra0KNH\nD+U3CQkJKC0txZ49ezBo0CDU1dWB53lN3rm5uUhPT8eePXv+oxcjgOQh6d+/P/Cl9P/HH3v8rBCG\nnamdDHzrYEjD0DXZ82ME6pq/bj+euqIEHWHprJsgpPBTNaDXwZDY2uhDU5RFM8zHSLdmDis0PQ4x\nOn5wWEjsOhaEx+aI5kWAEEWs8GXDVX4xvLu/AUUCV/WXnrn5ldjzrvKL8VpjKl6PEpapwW8VRSlY\n+s9GBQwoVyYeVDd/3X4sGF+O3320F1aKwDU9JUwCGZVQ/2hnMyqKUlB7IgBPRqyMtW1hlKU7IIqA\nw0Jj+gotyC/Ei3h500FUqyi7ZdCjPCAyFKlwSKjb5NWJHmQlWpQQ0fIMO2iKxMaGVmUil9/lrf3y\n8NJXtVhc7cHntS26+2riJ/l9LxhXjvuXSxP365O6KQJjkt0LK0VgSTcbXp3oQSSKA+iV60RJdPfP\nCiJaQzwIAL4Ij7YQh09rJPKszgCqNpo0pP6/tV8uwrwUtioLsC2a4MH9y2PlemFMKRIZypAePYEh\ndZpEMhj1cJTM63hHBLUngpp8XTZpCGZ5Ed5wBA2tQdBkqk77RA6nlSNDZDFHQQS6Zznw2pZGjO6W\njm8OtmNI1xQIIsAJIjbub0NVcSo4XgQBAm1BDr1zXShJd4AkAIokDNtrURTkaaUI2C0kWqLFFkUR\nd02+A/u3boKRfffVF3CdCKL0108izEsL4HhArhxOm2JjwNAEIpxel0kN6o7wImavrtP10XiBxTCv\npUToYKEoRGuei8oAmNHMJ1go/G3rUYwqT8fFVZdj2V/fBNB5FGNW7yq0hzgNAWEMdC8i1SLRwj+l\n8sSEeRHPf3HAkLhwcbUH1vMA1pPbgQMHOuWyKC4uxnfffXfGhTpw4ABmzpwJlmVhs9kwffp05Obm\nYs+ePQCgw34kJSWhrU1S9mxrawNN00hISDD9zX+6narX4v/DTga+TaCNwxRT7ZSCeI/fnfTKdaIl\nwGp2wtMr3EhQ9dYEGrpwTzXp1m8H5xuGEMaHzU6L0j9bKFKDJZlR6UbvPBeC183CiWVPorlGP/gO\nuKQS4qj7wROEkhalqo8oirpd57OjjT02IVZymc+8tCuO+CKaXfHUQfmw04SujNMr3LCQ0qR/3B/R\npRsPxpTzUofoGu0Oe+U6se+EntyMImDqdQjzog5kK993RKm67xrYBSt3n8CUQflYXyctaggCCLC8\nTpenV64TtXFleHR4IQKsoPE+qHfQUwblm4Yf+6ILW4ow1gLhBVEBpRKElH+IF5Sw1/lXlKDZz+KB\nT7ShtQxJSBEdBgJvsucjHpMAANuOdODeS/LRHuTgj0Z8UQQw7oIM0zoEWQGzhhcigaHQEmRxz0d7\nFE/Dzb/IgZWShOjivTMUAbAEwIsinFYKHWEeK3ZJu3czbaJA9Ahn2tACDZ1/qH6b6UJENu/ub9BR\n94MK1B3rY0ae0KdNvJjyFTNvlBklveKVNfF8yDIAc0cWaUOzVfWVx6wQl4FkTz+0daKAneLph7m/\nHmMYXnwqoHtjYPJ5AOspGcdx4Diu0/vhcNj0/sksLy8PzzzzDAKBAL7++mu89NJLePzxx884vfN2\ndsyMiKwz8G2Ak8Iy43fLv+mfhyUTPWAFPYBrTPd0jcx3mJfC3dQkcHK6o8rT4bBIxF80SWDZ9ibM\nHFaIrEQLlv6zUQe8+1WvbF1YYXGaXeeteHpdjMwr49rZGOj/EcDdAIDLq68Byiox7VdXwMpQurRk\nTxAnAmkJtMJQGuZFWE1E4ZxWCi+OKwMJArM/14ZndhZ+vKjagydWGwMvUxMkUT61WSlCA+I02h2a\ntb8aROuwUIqAGENJ3q/OwmZfnlAOnheRmkArg3Zekk1ZdMkT6oQLM8AJok4EMMyLEKAP1VTvoOW8\njNrXG5bGK5IAuiRZdUdy9S0h3QIwzArKEQhDEspCJL5ua/e1oCTNbgpWjS/vyxM8OOILI9lG4WB7\njK5fzjc7x1hfxc6QEAMSCFoms+uf70L/gmTc89EeTZivnJ8cWivz2gx2u3BD31zc0CcbY7qnw2mi\npeSwkHhxXBk21LfCxsTq0LR1nfK7zjwFcoRZPMjWyBPqC3OdgobNQJ6JVhPPhuyV7QQsHuZFPLKy\nDk9dUaIbI4r75Sn9jCAIFF47E/V/nYNIvX5B0ndwBR5+egGSbIyGPFDdjmpv7ul4a881AOsZLUby\n8/OxZcsWjB49WndPFEVs3rwZXbp0OeNCURSFrCzJt1xYWIja2lp88sknGDdOQm22t7cjOTlZ+X17\nezu6du0KAEhOTgbHcQgEAhrvSPwzRrZhwwZs3LhRcy0rKws333wzXC4XzkDG59/aGIY5ZZK6dn8Q\n3zS06ojIBnRNQarDDjN2kxNHW4130yJQmp2CYJjFw5cWYt6aWMhqklkoHyeiMEsq79HGVl1o58uq\n8+9HhhWahn7KIZqy9ctPMswvRrUOnEguVe419bkeIdGO1hCP33+0V/Pc0MIUndCXmgTpeEfE0GPD\nEMDkD3bjcRXlubospjLq0et/+e6IjvJcEETcObAr1u6UIjwsFIPJg7UEahBFXXmcVuP2D0Qkz0e8\ngJi8Azfb0QciAqZ8uBv98124rDQVWxt9Gs4X9YSq9kzFiwCa7ZBF1d+8IOo8H3cPyYeFksJTBVE6\nIpA1buS8Nja06hYN80aVYNmO4yhMtSPHaUybHogISHdYYSZSt+d4QPdMiJXCPeeMLFIWIup8F1d7\nDInIIAJz1zTgqcuLlWfUk7uZZIDcd+R2VuOKHqh0a95FjExPxDF/BLuPB1GSHgMfsr5T0zNhfa2w\n0SQequoKCjHxQiNP6Mc7mw3p+uXQbPkdxXswLAZeroequiI7ORF2K4OO4626d6KWS5A9ZvHjwbW9\ntDIAlM2B4lvmYXLeEQA3AACy+l8JS7dhQNFFeHLjcVipZrwwtkwjoTBtaAFSEixIdUntZzcY6x6o\ndCt9U/1cooVCaqrrlNr6TOx0xv6fajKW8Y033kBTkzake/DgwRgyZAiAM1yMjBo1CgsXLsTzzz+P\nSZMmIS9PolI+dOgQ3n33XezZswd33nnnTym/xkRRBMuyyMzMRHJyMrZv3w632w1AinLZu3cvRo4c\nCQAoKioCRVHYsWMH+vXrBwBobGxEc3MzysrKTPMAgCFDhigNE29er/dnFcr7V9jpiCW1RExIjtLs\n4MPmqGwCxmfSr4zvCvHLSbAB6OFZoPGs8KLxTshCEUp57ZRejpumYnmZkW4Z70LMww1lCnE1oVVn\naVEkodudqqmtMxItWPqt3mNTnJaHMC8i1c6YhiN2Fra5cb8XE3tkadJNYEgk2hMQ+cVSCCIwI6pw\nZqFiIbogCB0JFUPq21YO25TrEr+77YwUzR4N99za6MM1vbIULRajCVVOT+2Zks1sh6wOi6ZIwhCg\nelu/XDx7ZakhEdbT6yRCPPXCNcyLYCgCj1zaVRFyM2uTzQfacEGW45TJvOTw187AsEZEZCVpeXjk\n0q5ItMTI5dSTe8JJQoLN8FnzLtd7By7MdhiGHzPOU5vALutZhMery5UQ24PRtqEIfd/a2ujDlIF5\nyhhgZyStl8JUOyZbSFAE8MGPeoK74rQ89M516LyyQb8PQT8Q4QnFK5tk04YMy21j9A0btaONJjFw\nwEBgs/T/vDF3IiTaNe+tPcQpZcxPsiKRAQgujJaWmMuoR4ZVU14AWF3bYuit/TmF7P4VQnk333xz\np787o8XI0KFD0dTUhGXLlmHz5s1KSK0gCCAIAhMnTkRlZeWZJI2//vWv6N27N9LT0xEMBrFhwwbs\n3LkTM2fOBCBR0L/33nvIzs5GZmYm/ud//gdpaWm4+OKLAUiA1ksvvRRLly6Fw+GA3W7Hn//8Z5SX\nl//Hg1f/lXYqRGRGZkZJHmY52I+vAADQnheQxIiKeFRzCIbkWoLqcNUIq6LOa/muZk0aQ9xJuKFv\nDsKcoIBCtx3pwJSBXUDAOD9OEHHHshosvbob9h+PHUvaKBK/GVIAm8GOxsw7IEIa0MKcYCIUJp35\nd0R43D2kQDkykMtCwnjnvbNJou22UpLejlrT5vWrumG2ibLtpB5ZcFgpBFkeZRkSAFIepF+fZLwz\n5wRRNwGq62hGitYR5mCjSfxusIQvmfN5PWYOKzScUNXpxYsAWgx2yOodtLyjlwGq/fNdGN0tHVd2\nSwdNEvjL90dxY5+cTr0r6nZqD8U0gm75Ra5h3XhBxICCZARZHi+9sxKzVWKKKRdV4M/3XIU5I4ui\nmBACgigqoohmiysbTRr2ket654AggBDH44WxZfjLd0c0i+4gKxiW0R89ojJrZ5okNJ6R+6Pq07Kn\n5qXxMb6crN5VOL7pI5zMfjlhDJIYKS8nQygSCIsnlBv2LV4AUq3SGMCLEsMyRUo4mo6I8TdzXZ8c\npCZIY08iTaKDA5qCMeJFNVmejFVRyyWYeSXMpBfU44+Ez9H2F5YXlf6yeIKx0B1FiDqhPCMSuH75\nyecxI6dqV111FS655BJs2bJFISjLysrCxRdf/JOE8rxeLxYuXIjW1lYkJCTA7XZj5syZSnTMuHHj\nEA6HsWTJEvj9fnTr1g0PP/wwaDpWlZtuugkkSeL5558Hy7Lo1asXbr311jMu03kzJ5k62dmmw+RM\nWt4VABLK3EESCs7EjFyrV45DyUtNFNca4uELc5qBWU3lnelgcKA9jN/FaXZc0ysLLC9ABDT5ORgK\nJAlEeBFzRhbhUHsYWYkxnpUHqtxgGBrpDosmtFSWnTeqb0GSFS+OKwPLicpiSL1Dc1hIzBpWiGQ7\njUCEV2jdrTQBkiTgi/AoS7drlEJ3HfPj2S8OKEcRCRZSI4hmtjAKsQKa444q1EdJnBjbyap3ayVp\ndtzYJwtdXFa8OLZMCUV9e2sTrJQ5KdoFWXl4eUK5FHqdaFHCHB+o7Ir56xpMybrkhZOMUaIIIMUm\nYHG1B0FWQFAleDe6W7pCMvWniR5wIpT30ugNY/J7NZgySGojo7yyEi2aSel3g/OxfFcz+ue7MKa7\nxJxZECXu8rO8hvyri43DtDtuxKGv12owFMc3fYTpuz4GP/J+JdT1nksKQFFWDHEnIddp1R1PzKiQ\ntJQMvzWGBE1ZEGIFWEkCv+qVBZKURPdCvAhOENElyYqnLi+BLxIrY1lGruJBMkqXIqAXboz2/Y93\nNsMbioUfJ1o8uPH797F10xem37xMvqhmZi5Nl75VXpS4Z9ThtjXH/AAhjQMsL+JAe0gT/vpiHHmg\n/E5EEWiNEHAwwI8GxItFqXbD8SDFzsBpkRYsAqD5ppyMJEdh1I97ZqQodXxseCH8ol2zyJSPf9S4\nFTOT24ZQRczFjwfnGmaEEP/bgBA/kx0/fvy/5phG/hCCPGCnoGN7lX4UQkrN7wAArZ4XwZJ2jXid\nvItQi9cZWbzonUwxncpEMGR7NwDA8KYVuLfSo/AD+DgC3zf6dREPPbKlcES5vMpgF4m6dgnghyP6\n5y7MdighkbJZKSl8joAIC0Vg1/Egnl63XyeUNqZ7OpxWGk6aRc7uqWAFETu6/AFJCQ7woghbFMBq\nZ0gEWB7pCTR2Hgtqdn5PjCjU8W/IUSDbjnRg2tACFKfaAEKaGBrawiAJICfRgvrWkA6nU5xqBytI\nlPdWmoSNJpUJe+2+Frz5nbQ4WDTBg9e+OawLq76tX55heywYX47jHSwyHTQOtIc1HojpFQXonmHH\nj8e0AoYzKt3IcVnR4mex65hfIwQmt79aBPCCTDtCPBCI8LAzFFpDHFJsNH5s0r+3C7IdeG3LYdw5\nIE9holXnW5BkhUgQSvuHOR5pdlpXxukVbtgZEk+srscbV3lwyCtFHskTiYUCUuw0jnawCtcDROjq\nE//eZlQUIMjymH/fbfjuqy9MAZ2u8otR+usnQRCxBVazP4IILyKBkYDAIVYAK4gIRngUp1px0Cvd\nl8uY6aDR0BbWMApPq3CjW4Ydu5uDmsiz+DLmR9tJFEQc9oY1i5+7h+QjO9ECP8uDJiWdob98dwQb\n93uVtLplJuBoRwSJFgqCCLR72/HMg7/Dt5vW6uo7tLIKry5ehIREl4aZebDbhRv75oIXRFAkgTf/\n2ajkMb3CDU+GHbe+W4OZwwqxt9mvUR6ubQ4g3cEgEvXixJfxxXHlykZD3Z9fnejB8Y4IQqp2tFKA\nO9kCi0pwM17KQgBQ36bvI0VODgUbJO/6p+U7MHf9MaXN77mkAIfaQuiW5YDTSiPFRhmPqzBmrY4f\nD042rv5U+1cc05zMfpJq73n7z7NToW8HAAKCcozS5nkBDCEq5D3qXcTJPhh/XDQNAclbct/C/8WW\nQdJvat9fiAf3DsffZ/wSyZYYoVn8uX+Sncbcz+vxUJUbF2basSOuHs+PLjV8rmuqzdBDcLA9jDAn\noFuGHVaKjHpRLPjth7vRK9epC0GcMuiP2NjQhs3/OIw/TfSgvjWEZ9drlW3T7LTuvJ8iScxfF+NJ\nkN3fL0/wgBdFRDgejb4Inlhdj2kVbjS0BPHu9mOmETQLxkv8CvcNLUCKnca9H9VpynBdryy8vbUJ\nJGEcVk0Rxu56OeTxvqEF6OLSEjHRJBDijfEWs4YXwhvmUXsiiNoTQY1Yn/qMXo7+uVOloiqHx8rv\njRQCGLHrAqAO2OSswcb9Xtymim6Q893fGoQoQrfoSLbRnQq48SLQHuJ1zyVaaR3Xg7qs6ve2YHw5\njnVEYKEIrFyzHt99Ze4lAPShrjwvoMnH6hY5XZKsmP15PZZM9OBzW0wjAAAgAElEQVREgNNE2bw4\nrtyUxyReaC2+jHtPBOG00hABpNgZzLu8BDaaRGuQxa4mP0QRmkiiKYPywQmSl+zrA21wWCjMX9eg\nKeuiP/8FNz/3FoAHAQAZ/a6As8dleGna1XBaJZyI/G3KwFm1Z1KdxzPr92PheOn9ZDoYhDg9eVwC\nQ2LWylrD55s69GHt8rFhexxZ3oxKN2QebbOx8MJMOzqipIDy9QeruoIgLWjpvhh+nsBT648gzJNK\nXi98eUCzKDIbVwFjkU95PCAJnNK4+t9oZ7wY+f7777F8+XLU19cjEAgYRpr8/e9//0mFO28mFue1\nAGU75UeNPgQ1UVBnxhASeY90lnlqH4s/7ryXD/lBrnwOu75dD0QXI8e3fIL9X36C23/8CK+/uhgO\nm0sTJieTnskheU+ulQbh+HokWChDQqvJA4zBhwSghD7K2IonotEsRmA/NRCVNACqypND/Pn2EyYR\nMoe9Yfw+SgYmT5bPRhcbb29tMsXpyNgYmTApvgzy80ahsGrFVqP2UKcbPzk/Z8KRIkQns5nDCjFr\nVR02H/TixbFlmufl33aEY3Wa1CMTnswEsLyIX/bMAgEgEIr93hVVATZqhyFdU3SEV/Gqsep8/REe\nVopARDBuk0XVHs0R18c7m02jU476Isp7y912atol6lBXiiKVhYicpryACPOSSnF8lI3ZhNsZl4Zc\nxgXjy3HHshrNb14aV46ZK+swe0RRp/18VLn+O5AnTqs7RiyZP/YuhP6PvesOj6Ja3+/M7GzNZlM2\nnWTTsyAl2JAQSAIIIj1cvf7EdvV6FcF26QpeBOTaC6igYi/3eq0ICgoYgkSKiGCB0EJoAZKQtslm\n28z8/pid2ZmdmSRguXjlex4fyeycM6fNmXO+837vy5ng9nOINciZlzt7l7wMh/YAzwOj16mTxy2R\nCByGp9cEq5OEYqH26IaQIq7WXCglBRSuP1xWjZcmOEHFj8bJNg5uZq9qX4RTGGTGpCjmVS2+ET/D\nIsn8x8KJSO2sFiNbtmzBU089hdTUVBQUFGDt2rUYMGAAAOCbb75BUlKSCCg9b7+8hXstzmQN3Rl9\n+y9tUl4NjuNw8O0FaNn7DcwqEjpfb9yASZMm4ZU33lLs6KcVOfizZWhPwn5GHcDHaQDSVu2p5+su\nyUuY2LTAfjajDguHZ6JdQ7W0zccqJsbOokCE+gj/9vj5vZsWTsdIh3ZkaoRJQnrtUE+205BHtXy1\nojWERQwnuWbUqWMzhLJPzE9AeoxJ5L8QdtzbDp3GMCEBx4mkaeF5eTUIr9TaX4gomVKQ2mH4a0eC\naeH1FdLVhoUqapkQ6npH/24dYnl4YKTyd60PblfKKIwHeTqyw3EuXNH63RNgQZIGzDr9AF8/Ti/D\nOkg5NTp7hoEiYAjuPjpagGulX7O3XsQfCeN5VnFah+M/Rq8tVaEZRh+cI9W4gtQEFHlafQ4IW4x0\nxlr9R7WzWox8/PHHyM7OxoIFC9Da2oq1a9di8ODB6NmzJ2pra3H//fcjPj7+ly7refsF7Oe8CGrn\nq2pnolIzUMDcIRkAAezctgWz9n7T4f1lZWXYWLEFO4g0VVpxobwWPSWSi9EUgRgTDYIAcu0mPDfO\nCbefEYGXAZhRUd2EpaVOHGv2isc3ApV3eF5Pj8mF26/+UWv28Eqhi8fmqdLcW/QknhyVAzoY3WPW\nU9CTUAAVpw1Kg0VPYeHwzGA6SgTmUSSBV67qDh2hHkETYDk8MSoHJAGYdSRenOBEg9uPAMthdWU9\njDSPI+kIdOyTgAgFzRQ5gI6SeQpWV9ZDR0ARzSIsYgwUr5j76lXdQRFAi5cRQxibPAHEmGmwLAcK\nwBMjcxBl0uGOj5RHIP8oSQD2BAtLEMixG0GTynawaBBeWfSkalsbKCDbbtJcJFn0lGK89Umy4J6B\naaKXotBhw3UXJqLJExD77WSQD6kzG9w7A3OCJGJairdWA4UnR2WrKlLzH1xlvZo9AVnbFDpsuO6i\nJPgZFi9OcGLToUbZOODF+HiQ7JSC1A4XykYdifgIdQI2C01i3vAc+JhssBwwmCBAUwBN8kDUNh+L\npeOdaPQEQJPqIM1Eqx4PDc8CRXIwkAQWDs/sdAGuVsbCjGjkxZ2Jaq+6VIXVwGNiNGnig3OkgYJs\nXBh1JG64KFmGWxG8N8tKnZDOqwzHhxOH96WUtfqPamdV/WPHjuHaa68FSZKgKD4GXWBkjY+Px/Dh\nw7FixQoUFRX9ciU9b7+IdUbfrmVdxZqEm5ECvAyLRzccxr73/xXKjwXe2xr6t9Q+XfUJxk2eoyAO\ni7PQofLSSjzEnCEZaPUxsrP26UUO7KtzY9eJVhAcB1+AVXzczSp5PTkqW/EBnDooDZW1bfAyHCqq\nG1XxGCzLocblkwENpxSk4qTLi7lDeb4DPUUqAHwsy6FQgVFJhd2sE3E6Zj0pEzm7ZyBPjhReBgNJ\nYPHYXBgpYNbAOIzaz2s5XX7qM0wZlAcjxeuDSLEbUwpS0S81ErtOtAZDLVlFvg3tAVgNFBaNyA6G\nXDJYGQyRnlKQihe3HsfOGpdY33Dwp7R/7h+SIZvsAcATYPHDt9tweZCr8KEH5yL7spE4HZ2Lmy9J\nluGV1BYo0walgQSw/kADFo/NQ4DhYNKTYBgWa/Y1IC3KhAviTYp084dl4ODpdlmf8ZgEDrFmnYyC\n/W4JMdv0IgeaRo7Gu2+93ul795M1H3d+vJen8KeUi7q7BqRi+bbjKMmKgTNOpwh/Lc6KgTMuJLpn\n0VPYU9uGf+08hXEX2DF3aAZiTDROurwyUjMBI7R4bB7a/QxafQz0FIEAC8RF6JBkNSjKMqMoDYkR\neiwemwuWVZLiCYu7cFD2zGIHPCYWkz/eJwOCS8cYADGk/uVtNdhZ48KMYgf8LIsF6w7hkSuV7920\nQWkgOE62oJpRlAabkcKcIbxKNU0CEVSIHgAAzDShmpc56KmQSlVIy/unXvGK9p82KE2UozBSEMeF\ngKnSkgNo97NAMERXOofmJ1sxd2hGp2DXP5Kd1WLEYDCIobQWiwU6nU6m+2Kz2cRw3/N2bpk0JNbD\n8C9WV16Es8WauAMQJzope6PXD1y9WD1NQ32dJq34i0EipdaA8uyfIJRn7Y+VH8bz452YMyQdIAgF\nmFYgT5LmlZ9sBa2jUHbwlOJewTuTY7cozsEFzEL4mbfA5un2MzBQpCbWIRxHIJyL3/5hpUwkTfj9\n6a+UmJHHyg+L2I1Xr+qOo80hQrrHR+Vg45F2ZMWaFO0rYBZOuXxIiTRgQ1UDlozNEyMaBCImoQxS\nDo/bLkvBC1uOi9we0WYdMmNMaPL4ZVT40v4JP3ZgPG049M5CzD20DX8PRmis+M+/4H7zX7h4QBE2\nD58KsyUCc4ZkYMoKvm5qJGNZsSZUHG7B9mMuLBnHKymvrqzHjRcn8zwXpU5FOl+AxdzPq1THm3B9\nwbBMPBaGP+DHVn9RTFHLIvMuQURmb1lffxkkuhIUpwVP3fZjLjw/3qlKepYZk4Jb3ucFGR8ekY1I\now5/65ciepheLHUqBOeE51VUNyLHbhEFC5eVOrFyNx9ZdbixPdTXOhKbqhuREWPCX4Lij6qU6bEp\nimcJgo9eRh1zJaXClwKbH93AY3bmDMlApEGHHcdbFP2aHmNShN4jeBi14qc6npQuTFjO7VeC54Wy\nG/X83CS899LyOuMtouCmNF2uncd/uAOQjRcAeHGCBuGfxOMsnUO3Hm0RPbMvTXD+4RciwFkuRpKT\nk3Hs2DHx7/T0dGzcuBEDBw4EwzDYtGlTh6q+5+2/awLxTkZC18O7zhZrIk3XVfZGW4wdTWrP8rHo\nFhEUnfJxivJoMVp6AywCDCsjQZKalP5ZIEc66fJp0skD2mfpWufNFAmRpv5M0nGd/K6G7RAutfkY\nvLOzFpOS+b+nrNgLD2fSpL93B3ETS8flITVKGdEgLYMwmQLA4jG54kJEGYEU4i+R9o+UlM4TYFH9\nzkI0VW5TxRJtryhHZL0bOTf/U1Y3dbIom1gfITpockEquCBhm1o6LYCxtL5a/d3uZ5E1cS4Ma5/E\nNxUbcNUzwd+CLAAXDSgCO3yqSIkt5FtxuEVVmsDL8HgM1XHaN0m8x+XjacwXjwkJ3WkJxwl1nj8s\nU7zm9rNBNV+ezv7O8EiXoLvSy6hTpv9fGGW6WPYgtkO7vRhVYLOA2XlsZI5qv17czYa5X1SJY0wq\nRcCXV/kx13rf/y8/SYEZkZaXA1TTXX9hEi/ApzIXtnqZTonSfmu83u/NyM5vUdoll1yCb775RuTd\nKC0txU8//YSbbroJf/3rX1FZWYlx48b9ogU9b7+tcSDRHjcS7XEjwYEUsSZSC52japs0XXTvrh3b\njRw9Vv1Z+tCzjCrlEc6/w9OZaBK9403iebQy39D1Ud3teO7ro+LOPfxe4ZxaIMkK/13rGa3BD5tW\nvmaNdML9Wvmq0VkLl7TSaF1nWPBKuhqRQlrphPN8oe3CPQyjuvMLOGn/bD3agorqJswdmoFbkhvQ\n2IEqKsCHx3oP/9Bp3QR6fCmw9rmvj4IOYkXU0mmNG+m9HfUbZbTghdfeRvfbn0I5NQbr3AMR028M\net7xFBY+9yooo0U1X808O3nXpGkFDAwA2b+1nifNq+xgg6a4oY4KPasjCYXw68JY0KqbVjpDUFBQ\nqw6djTFdWBqgo/HP5yWdm6Tl7ahfwtMJ5vYzIlHa/GGZuH9wOrYeaQItue9s59A/iv1ipGd79uwR\nqeEvvPBCkTH1f8XOJdIzgnEj6SteuO3EwP3gKHMnKXgLB6AmRkWgvc2luI/jOGzevBmrVq1CbW0t\n4uPjceXI0UjocbGMQMioI5Bhozt0MUrPST0BFlWv3tfhh6e4uATPv/YW9p/2KISxeieaQABo9ctJ\ns9p8DCiCf6lJkgegCURY7X4GJh0Fg46AQQf8oELclh5thMvLwGKg4A2wMOhI7Ktzg+UgTnxROi/W\nJlwJANh1yX60MQb4gufEQnvQFOBneE0TX9j1XTWtcMZbQFNy0iahDJ4AC46DjPjrjv7dsO1IM4qz\nonFBvJxwTCCskmJGpCRj43rYkWIzwO9tRe/tvCbTj/0OIAAjzHoSe8LymlHkQKpNDx3FE6i9ueMk\nRnUPgXNX7q7H7f1ScLBB2X6JVhpTVx3A/UMyFDtogPc8LPqyGvcPTpdheoTyvvP0g1j57lsAeArw\n8Rfz6T7aLscTXV46EbfMmIfcODMCDE9W5/IxcHkZsZ1rW/149utjmDYoDTFmGm4/j2u5uk8CGt1+\nXBBvUhCK2Ywk6toCYjingEnIjDGhqqEdjwTJ8K7pw1PoS0nWIvQ6vLTtOPo7omDUkYq26WYzgCRD\nxGy+AAM/Cxxt8mLLkSZckWcHQUA2VlIi9TjRoiTrio/QwxP09EXoKRAAWrwB+AIsPAyHSAOF+ja/\nDBg5vSgNTrsJXpbfvZuDTLZuHwuCBDgOmPzxXkWfPT06B+9/X4vrLkyEj+GVdQUJhZnFDvSIN2q8\nSwacbPWLGJvHJGWZWexATqxRRtImlLHqdDve3nlKjLIKx2uk2Aw47fYj0qDUmAGApePzkBwWFuvl\nCHyvUsbeiSYYgqSJUgyHlOxQincRcGq942hY6j8DCwLb2GIs2nBc/P2h4Rlo8bKyMTSrOE2GqWM4\nArtqPbJ7ZhY70Cfe+Jsf05yLpGfnGVi7aOfSYuRseEbUAKj3Dc5ArziD7EVwuVyYNGkSysrKFHlc\nWDAI9MjpIrX1jGIH+iR0zhQoLILcfhaspw3T77wd5RuU+RcVl2Dy/KfwzDcNMvbTSAMFC83vWHYF\nJxc1gNysknSeVv3zEAnY9CIHsmNNuO3DSswqSUdWjBEMF6IKJ8BBRxHYU9uuYLf0BljYjDxZVDcL\ng17bePbFoac+xUMje+FUq19BqJRnN2FffbsM2PfQFVmoa/PLgbXFDqRGGlDn9sNIkYgy6aAj+VBL\nAaTpZ1joKB60yrDA8JwYMOA/JAYd/yHmOCAiuIgy0/yHhiKAvfXt8DEsTIRHBLAOPfUp7hzkxAXx\nJrAAfAxPGR/OiPliqRPfn2xTgA97JVrw5cEGlGTFwOXlo5X21blht+gQYCESxoWfmz833gmW48Cy\nHMw0iTp3AHqKj0xaubse25bdh2/K13Y6hi+/4kpMXrhEFj4pMFfurHFhZjFPAd4eYBUson2SLHhh\nK8/mGt4/M4sdSLTq0dAekDGwrtxTDx0J3HART6d+4LSc2XVakQNHm9qRHm1GRrQRAZYFRZEiwJQm\ngMp6JRusM84EH8Mv+g83eRRl6R5nwu66dsXYSrMZMGXFPlndT7q86BZlxNNfHeHfme52ILi4IQle\nFNEX4EQeHWm6RKsB0WadeKwm7bNlpU5UNSjLEGOm4WdYOKL0qGsLQK+jRGwHwXE41uITP7YDHJG4\n/sIkNHkCCLD84jElUo/jksUgSQBGisBHP9WJxyIT8xNQlBUNX4CDRU9CTwHfn3TL3p/JBak8AaEE\ndyFo4UjNyxFo84feKQsNGCTzlXSDZqBIcXNjNVCw6ikwHGDSEYjQATq2TdwEHis8ABdnlkXvABDn\nOeEaFfasQ80+tAdCdTfpCGTY9OcXI/iFFiMMw+DEiRPweDzo1q0bjMauk3D9XuycWoychTX7Cdz6\ngZICXPoScxyH66+/XnUhIlg4tfWyUidi9Gc2hJp8wJ8f+w9OfVcGv6sRtDUaCX1L8M60qzHpI+XH\nTChjg48QAZThZE3CvYtGZMPtYxT058u2HMfoHnbEmWkQJIEGtx8GHQmWA2JMOk169LtW7MOMIge+\n2n8MjzKDAAADa1ZhcWlfkSNDmiYcaAoAC4dnqk74i67IxtRP94vplm87jtKeCaBIfrGUZDVgkgSc\n+Pq3Nbgiz44YE40mj18RKikwhgplWDreiXs//g7rEkaK5eZIM5aVOkEREMMfw8v77Nhc/GvnSUXY\n8s2X8ADKAY5IlGTFiGBZoR8EUKt0p89xvF7KsSCQ9LZ+KTjc5EWUSScuRuo/fbZLESlXXXcjavre\nqGhHAbArtGPZwQYZnfimQ3zk01/e24NXr+qu2tdqJG/h+WqNEQEYG/77K1d1lzG4ho+RpeOdYv92\nNoaE/r35vT2ya0vG5okLQK13Qq1uQjqBaViKdZjcvxv6JFlU5wuhv5eVOvHK1sO4PulbAECdbTiM\negPuC+odnWk7Lh3vRI3LKxs36dEGWHXy9z4834e+rFZ4IPwcAZcfokRCRBcYTbXmx+fH8++KRcfh\nu81fYrz/egDA39Zfi2EjxqN///4iHqgz68oc/FvZubgYOSMA644dO1BRUQGKojBo0CD07NkT27Zt\nwyuvvILGxkY+Q50Oo0ePxjXXXHN2JT9vv4p1BTy1efPmDhcigJLaujPVXjVzBzgY03vDkd5bft2v\nBKVKy9gVQCFFQBESHGBYDEiPwurKevRL4ydeqWflsZHqzKK+AIfFY3NBcBw2H20BkkO/a6kRqwFN\ntYC1bf4Q0Znbx6JfWhTuWxOivJ5Z7BCjUTiOQ7+0KEXdAIjRKgLJk1CGNr826dPUVfswu8QBu0Wv\nuMfHqD9LADVWHG7BhF4JojS7NL3Ly8ioxe8uTENDewAL1vFKvQdOy70SkwtS4blyVJcWI8XDRuLV\nk+ogX2k7qoFvEdxznQ0QWKtfvUyIDdetQoLXkdJ1x/2jQboVJMaTPT+gDsLsrG5COmExK0SOJFr1\neHlbDTJiTKp5Cc8IMCwuSzWjb/UUAMDQbz/FgyN6aabpqG75yVZUN8rHxYxiB4xUx+0YbaLF6Drp\nQkSqhSV4ozrTetGaH4+3ePHgpz/C/+ljqPx2o6jF8/bb7+ClV95BSUkJli5dCqvVqpl3Z884D2Dl\nrcuLkZ07d+KRRx4BRVHQ6/X46quvMGnSJCxduhTdunXDZZddBpZlsWvXLnz00Uew2+0YOnTor1n2\n83YG1hWys1WrVnUpLym19dmoS2qVRUvh16AjwXByRlItRspWycTlZUIhmluPNOHGi5Lx+rc14kfU\n5Q0gP9naAREWCT/DQa8CqjNq1kFJmNQZAysPhFQCCR/ZcBjPjs3Fbf1SwAGqwL1FV2SL2A6BvE0o\ng1lHwlW1B7fsuhiMpxUHapbB3mcwzLQTi0ZkgyRCaaRekEiDDs99fUDxrKWlTpGYzaDjj5Z8gRA5\nnFo45zObjojhngQBRTjoc18fxdLxBXDk98fhnZs1x0zBoBIMGDAA76h4o8LbUQiLFcjwWn0MQBCY\nmJ/QARGckuSNCPtdLZ0wDsx6UkHCJ5WnDx9XBoqAhVa2vUCAp/quBsG5sudLxq7WOyEFoIrEehK1\nWJlxvPSCiSZVicqEZ+goEtuPNuPqYLJZJengNJ7fWTuO7mGXeQ69DE/b/tIEJyJ02m1v0ZMKj4LL\nD0WYvpEmccrNikq9akciWnMSOA573pivyRpdVlaGSZMm4c033+zUQ6L1jAg9iWb/mZFJ/i8aNW/e\nvHldufGFF16A0WjEk08+iauvvhoNDQ348MMP0atXLzz44IPo27cv+vbti2HDhmHHjh04ePAgLr/8\n8l+5+L+dud1usCzb+Y3nqNEkgdx4CzYfbgbD8cj7+wZnINWqEyerf/3rXzhw4ECneemj4pF80WBM\nL3LAYaNBneGiniIJ5MYQeNx/Gf4W+Qbea78G9xZlIc1GIy+sjJMLUrFydx0ijDRSImlk2y3YeqQZ\nLV4Gf+qVgB3HW8R7ZxQ7sLryNI63eMVnMRwwPDcWZr0ORppEpJHGExsPY1XlaVRUN2FCrwRw4HBp\nqg1bj4SeO63IgR3HXXhi4xH0SLBgWLYV6bXP8e3kvg7D8hJwQWKELM2UglR8f6IVg7NjZOUamBGF\n/g4btoTlf6Dejf317Zhe5IDNqMNHP8k/DBd3i4Q9Qo/71hxEfooV6w40yn5nOOBKZywe+KIK6w40\nYs3e07i2bxIsegpZERymT/4rdn20HN99X4Ndu+vRenQfard/jp92fYc1vkz0SIpGklWPSCONh8uq\nse5AIyqqmzA4Oxor95xWPKskKxpRRhqPlx/GJ3vqsWbvaQxIt+HS1EhsOdKMITkx+HxfgyLdkOxo\nrNnXgGG56r+PctqRc2kRNm77Dp7644rx4ry4EPpR01GYZcfFqZGKNl93oAGn3X5ML+IxDTRF4YmN\nh/H5vgZ8se80nPEWrNxdh/yUSCRbaeTEWWR5zCx2gKYIPLj2kNgG1/ZNEvuHF7HTIzcs3fQiBwIM\niwsSrUiM0MMWbEfhuVmxZgzLiUFFdZMsTWKwDBF6CrFmvazthf7rFTa2phc5EGPSYc3e07K6/3Qq\nNN7U3om7C9NgoEhUVDfh4m6RKEyPEvuvoroJt16agqRIAx4rP4x1BxrxxT5+DH133IWlW47jT70S\nwHIcTrv9mFyQio1VjZjYNxE2ow4GisUFTcsAAH/7cSTyEqIxpnssyquaNPtHrf1HdrdjVaVyvI1y\n2rG/wYP3f6jF+J7yek0vciBNZe6pb2fFsSuEAQv1/azyNHLjLYi30IoIIbX5cXJBKt74ZB12ffgi\nf48OuH8sf/+iFUDQsYnq6moUFBQgNTVVMXY7e8aiKzJxwuXHzM8OYMXujsv4S5rJZEJ7e3vnN/4C\nRlEULBZLp/d12TNy7NgxjB07Vsz0yiuvxPr16zFw4EDZipCiKBQWFp4XyTvHTEp2JgCswqNpukrh\nP6R3JuaNzztrdUl3ANhY1YhRwb9nFDvw6f4G5NpT0DueVwY+Gkbbvv2YCy9NcKKPRDk40kDK7k2z\nGfBojTw6yEDxob3PfX0US8bmieF30p3ojRcnY9OhRiwZlwdfgIWRpvgdv45X8l1dWY8/9Qi5YWcU\nO9DiY0VCJZtRjvDvlxqJuUN5AqdmTwBr9tbjlktTFCRKN1+SgiE5MaisbQNFKnfR0h1jVz1Bj5cf\nxnPj8rB03r3YuVldTXbjhjJEnmjFEsPDeHZcSBlYwHxwHPDkqBwQAFw+Rmwnm1GH946ckrXfip/q\nxLppUYdHGvlpJsZMq/6uowi8uqsJWX9ZhNaq79Hw/QawrY0Y2icTgaz+uGXcMDyw9hDmfF6FF0qd\nWDIuD/7gUQMJYGR3O0Z1t4uEVmoeJCnWIZwIK8JAYdZnBxTt+Px4J4bmxIAieLCvGslacVYMVlXW\no1eiBU+WV6GQ/gqggQ2eQjyz6QgeH5kjjiuLnsKJFi98DHC0qR3ZsSYFcZ8gCiel6zfrKV6XiSDE\n51sNFFiWQ2asCQQBPDfOCU+ARYSeDL4fPIiWCQJHl5U6wXJQUPCDCCn2SsswJ8iHI1WTDTAceiVa\nEEHzEW0vbj2Gq4Ns+IIXbFmpEy9NcKLVx6Jdo3+ONMlJ1gISdlXpuCBJQgTcB9jQUVKqzYA9tW1o\nDwD6cN0XiRdFzVOnRdQonR9dPhaN7bzidMW6z1TfoXBbuXIl+vfv3+E9anMwB+C+NZVdKuP/unV5\nMdLS0gKbzSb+HRkZCQCIiopS3Guz2eDz+X6B4p23X9IEsjOBMtlkoNHeFvp91KhReP31zs/u/690\n9BmDVqXW5mdlGIz56w/Bw5lEUiFPgFMlgxLOVqXKwTXu0L0vjM9TJR4KMFzwnJxRxUJwLCcSLT05\nKgdVDW0KUiUCofP6+esPYd4VPUVipPnDMmXlFQjBhJDWO/p3Q1N7AHNViKOmrNgHAHipVFl2qyGE\nx5CShAm/TxuUhpVhbnYvw6GiogJfqUQrSa1l7zc4vX8XPIFccSEyID1KIRYnRKoItOJaWJK5X1Th\nRZU68O3Pf3RYDcFCd/AsnSAIWLP6wJrVBwDw93F5fNiphDDM5WNw54p9eG5cHqau2q+o17X5SR1i\nHdSIsDpSVX5o/SFMK3Ig2arXJOPqlxYFt48By3rxcOx8ADxY2MNQYDhOJgY4rcgBAoDdYugQh/Jo\n+RFF3Z4dmyuOl/nDMtHUHkBWjBF3fMxfe2WCE/tPK6PCsmY6gS0AACAASURBVGOM+Mv7lXh2bK7i\neVp4JinOwxNg0c0ibDiD2Bsvg/r9u4DgYuToJ8/D0GMI2rw5SLWSaPNDtX9uuihJQbJ2d2EaHhqe\nifuDUXBCWKwUlyUl2Zs/LBM0RSqwMAC/uBSo3LUwNFoYDWF+NOtInGhhsbPGJWON7sjq6uq6dF/4\nHFzTpo6Ta/sD4kjOCMAq9YB0FUF83n4/1r9/f5SUlKCsrAxmA0SwluVmwB08+SgsKkFa735o9hNd\nPtv0cQRa/aFwWquBUGAwpPgVC83zPDjjLGjz82kqa9tgpnnsiJQrxUyHPAoEQcg8H4IHQhAmM+oo\nTZr5Gy5MQGF6NHQUgdmrlXiJJWOzRIXSvimxMi+AltciJdKAxWNysam6ETHm0KsWCl1k8cpV3VFZ\n2wYdRSrKHikRgxMm4rlDMxBtomHQkdARwGPlSk/Qhi8+7VJ/N/9QjgjDNTBQhCZ9tyDTLtCKa7Uf\nAOhIZR2E9r9/cDra/Kzq7z0lwnEUGBQbN4EmAZrMVsUcGHWkqpicgN3Qwi0I6cNxGh0p3wqegmWl\nTlV8h9VAoaK6Cb0SU1THtJrnalmpE7l2k6r6q4EiEGHQxpKI7UBTfFisRNRNi6xuWakTL05wBvlK\nzgLPFCai6XK5MPW2Sdi/pQwo5K/VbfsM7q8+w9TKVXh8yTKYI6yyfAWsCkkqsVFSj4o0LLY1oF02\noV5CaK6f4UCSBNx+FklWPZaWOsFx6uk7EwWlCQ69gx7Yed9m4oMfN2neK5i9C9EiaqaFPTPq/ngK\nvme0GKmtrUVVFb+7c7vdAIATJ07AbDYr7jtvv46pEZKNGjXqjELMtIwgCCxduhSTJk3C1q+VO+uL\nCgbBP+zvuOPjfTBQXRPK83GEyA0i7ISmFznwyIhsYAd/j5EicU+xQ4zVN+oAPUWKYY9CGoMOaPFz\n4ECAYTkwHM+pMaskHQ+XVaO8inebS0nApg5KAwHwURsadNntfhZpwQiMBzV2yZ4AiU3+YjEKp6k9\nIO7yV+2px5SCVBlJ0uT+3UThuGlFDliCH40/9YpHeoxJtlueXuQATUJR9ufG5sqEvnadaEVhehT2\nnGpDotWALUeaFJ6GGUUOPP1512Tt0/Tt8ARY3F2Y1qnMO+9VYJGfbFWQobl9bPDDG5B5Tm68MBE3\nX5KCNh+DFJsBOsgFCYV22n2qTdzNEqxP9C586fozphSkYtWeeswsSkNevAVuH4Ol4/MADgoxs6mD\n0kAR6srCn+89jWlFDjR7AqoCh/8YmoEH1x2SpVm1p16sOxFWdnFMUjzgU08B9xSmAftDY3rKIIeq\n56rVx2Daqv14cFiGoqxCexSrPIsm+TDxCD0FM03hwx9PIcDydPy0jiermzs0Q0YIJvTb1FW8eF34\nONWRyvYSBCGllObNfp4G3awjMPn2SagoL1MFdFaUl2HE1dfj2geeFZVthXdmwbpDWHRFtuY7mGIh\nZEJ3ETpCIeop9ItQr8ONXqzd3yBGyUm9egShHCPTBqXB1MlXzy8hS6uz9hGvu70AMVE9TffC4WA4\n4oyBp1JPTvic9UezM1qMvPvuuwosyPLly3/RAp03bRMIybZ+XSbzWrz++utnFGLWkVmtVrz55pv4\nZvMGwHcdAGDixGtROGwCXjgWBV8Qw9vVs81Wv1LQ7rHyw3hhbJp4z5KxubAYQouaNo00L01w4sBp\nj2Jhk2s3iR4DMnh+7vYz4rl+dqxJtnsN34WY6BBzpp9RP7/2MxzmDs1AktWAOz6q5D0Gkl2+Vc+r\n2Rp1pHjeLHwQHi8/jEVX8GJjKZEGGbeEULdlpU4kWekgvoATKavVcClSL4Zwlm7WU4jQU3jj2xr8\n4ApTDNOwlKREmHUkIg0U4q3qeA/pDjnSQKJQ5SjHouexNRa9DluDmJJYC42aZq+IURD6ykyTqvUR\nhMlI1g0EqTTirQbojXpM7s8TlUlVhpeVqovJ5dlTYKb58uhIAjFmGizLYx08ARZ6isTMMHzIY5L+\nCcf/CHXnoD4ml5U6MTg7Bj5GjoN6fFQOdLRJ1XMlUJ//44tDWDImF0tLnWj3h3AKal4q4Vnhuj+5\ndhOONntl74Q05FvwFql51yL0JAgAL2w9rmjHGy9OFgXj8uLMuCPIj+E5tAs/dnIE2FS5DTV7diCi\nx3DMHZohI8OLNuk038FwT4CAsVDDkAnRNFNXybluhPZ6NuixW75NWbes2BTEdPCKSCNyrJl9uiSE\nuLI5AWMDOGOcBweojuPs2JQzy+h/wLq8GJk0adKvWY7z1olxHCcyo/7cELPOjCAI9OvXD/iK//vB\neQ/iuNcE3xE5bXRH56+CaXMmhCKTbDQHTrKj0ErjZ7U/CHM+r8JLpXnYU9euihnZerQFt1ySpIlp\nEPJUw2bc0b8bdhxvgTPegvYgN8SqPfUyjIUgA58Ta1QXAvMrhc1kv/tYTF3FfyQn5iegKDMaPobF\njRcno/xgI/LiLfh0D/+hshl14g5YsGijTlzkRPcuQt3mTzT7RLDLhowAwwELghLqCkxKURosegoP\nDc8Cy/GeqHBl4We/PorHR+aI7T8gPRoL1x/CkrF5qn0lEHdJcTYju9sRUAlUCwQBji4fT6UuVQB2\na4ig3XxJCuatVRJ/8QRje/FcMMxYq3/6pUbi8pwY7AwCoUVciwqPiDD+DUGvxLC8WGA3/9uUFXsx\noU+6QsJ+6qA0lB9sFNOfbPPjgS+qFO2hPkbUw9bD21kA7O460YqpQakBwQTsxbNjc3mAsle9HYfn\n2bHoy2pMK0rDG9/WiPmf2rlBvKcjT0Fg7yYsXM+PdSkmx8+wmrguNaMIDgQIeAOswnsATo4HUmuv\njoTytEzazgRBIGviXBx8e4HqgiQy7xJkTZwLH4uz4gvx+NVFEa+7MAk4Q/6m37t1eTFSXFz8Kxbj\nvHVmXSEkKysrw5YtWzpFdZ+NdYWnRDWdJmeCtjiUVhqtYxa3j8WCYZnwsUA3mwEPj8iGy8fIMAtG\nHamKy5BiStR2jw1uPypr25BgNYgfWQNFqJJF1bp80FHq7WQN8lhI+R2kO29LcPcqaHOEk3alWPUK\nr8TdhWmwGihR7VR4pnQ3p6X10ueyQVjRFI9eLV5ZvecMyUCMmQ+ZfFNCqX7PwDS0a5A2NXoC4o4/\n0kBh7tAMUbdH2Vc8EFiKs7HqKbFuBOvGsCCw2eVlMHtdiP5cuuM30Wc2RtqDfChanDLCtL+zxoVr\n8hM6HCPSdDqSwIJ1h/jIniPfYGgB/9vRT57Hy1VD8c60q8XoL72OQPnBRry985TiuVLshhYGKZxn\nJHyBIr0ebdJh8dhcbDrUGPQ6hMxAEdDrSNz6QSUWB8dz+LNSIg24f3A6LHpK9qHsKqCz4XQ9fMIH\nXVKfjnBdavMIw/FeqcQIGkuDUUIGXcjjKcUDhdehI36SM5mzKKMFPW99GH9NaUL5mk9Qc6oOP7TQ\nsPUqQkRmb5GNurO5UP1ZGnxFZ5HX793OywX+TqyrhGQrV64862cwHIFmP4EaN39GLFizn4BZByy6\nIgsLh2di/rBMPDQ8C4uuyBJxHlpGU/yZqADuEzg2aFqPhh7L0NBjGThC7jPVkcCUglRZmikFqdpq\npnoSC9cfwuSP9+KDH07BpKcQbdIh0arH/+UngCKA+wen42SLF2MviBOCM0ASBMZeEAcjheD5P//D\nrhOt8PhZcByLhesPIS/OjA9Wr0f01ldw76RbYNvyCjyHdoHjeCKvSAMFl5fB6r31oAhg7pAMWTs9\nMSobDe1+vowr9mL+ukMoTI9Cv9RIkTOBAB9OOyQnRhWESJKEwivxzKYjIAiIu0Wh/MJuLsp5KQw0\n8N7d/H+GoAt5YHEJjKOnw8fKFUq3Hm3B3C+qwHEc7v5kn/gR8jIcnv7qCEwa7U8SwMxih+hlmfN5\nFcy0tmLwwuGZoCkCT4/JxQBHJNgwj4tgXpaV1fe5r4/ilkuTsXB4Jk66vJhRHOqzQocNi8fmaaq+\nmmieN4ImgenF8vF4z8A0rNpTL/JytHp5OfsHvqjCQ19WozgrBvqwMSLwk7zxbQ3cba3Y/8ps/LR8\ntvjMum2f4celf8ftf7kOjc0toEngWBPPmSEd05W1bVg4PBN2My3WR8AgSZ81vcjBh/eqtKf6O0Hh\nrhX7kB5tEsnXhLymFTlQfrARXobDG9/WYGZYe0wvcmBPbRvmflEFt5/BAEckFgzjx3PhBenoisXE\n2sU8BW+jgSJkuK7w9hVMnIfaONR7OCzfdhx3frIfkz6sxKEGD97YfgKZMSZYaWB2iQNr9obyF+ow\nu8SBCFrZZ9OLHLB2cpSi1tczitMxYEB/LFq0CC8vX47lzz4Je24+CIIQn2fWQTZ/Mlznno0IHV8H\nRdnPCEDxv2F/wCr/Pq2roOCuhpiFW7iQnk3nwbpg2N6UFXtxT3F3ROhJ2Zn1jGIHWBsNqoN8XV4W\n1Q1yfobyg41ItRkQET9aNU2rj8WmavnuadWeejjjTKou3lZvAF6GD0/tlxaFu1fIwaHVjV48+/Ux\nzB+WgTZfSFnTQPGU6wDgiDLIeB0Yhj8a+OeQZMy662Z8vXFDWCnfgn7XIHwrEQ6cXJAaDJVkZQJj\nz4zJFf8GQscbz493guE4+AIM1u5vwPs/1OLxUerU9G6NHbAQ3lhe1SgDwlkirHj1zXfQuHczAF5P\nY8SEa1B4+TgMLRqIv7xfCUD9WIrh1N3eDMspjh2mF6UhzWbAC1uP4//yE8V0u2vbFPdOG5SGAMMq\nxpBeRyieB0CVxvyky4eH1h/CguGZsFG8F0ZQiL0rqLWiBibWEUBFdRMuTLaI3hupUNvNFyehts0v\nglbnDOE9YwKjq5kmkRtrknF4eAMsNlU3iy58tePTrzduwJhrbkDWXxahMJ1fMHmDmjk0AZgl79QA\nRyQWj80Dw3Ew60J8IWY9BYLjcKjRI+6iBWVh4cMZ3s46gleyFQQmhbz0OlLmnak43IKJfZPEsW/R\nU9hT24bHNx6BUUcixkTJgLuemAsBvKWsaJiNHTsOCc50PLKhGluPtoAmCb5uLB8tJ8V1BRgWpuC2\nWE3Qc3JBKgIsv1gWjqZsdAhTkhmTAj/DYVkpz7UiZTHNl/ASWfRkl7iRPH5OxB0JY4QMXo+g1PlC\nzDrgx7BydwXgr5bXH5WB9fxi5L9gUqXIrtL/dpWQrCuCRGrWGoD4IgHyj5GX4fBwWTXmDs2Q/f7o\nhsNBoTztfC00ifd/qBUnP4DfuQ3PjYGWG9JC8yh/wQiC95ZoHbNEm+wA0CHwb9n4PLAA5n4uB48+\nEqyDoIYqLePS8XmYffcklYUIbzu+3oiLCQIPPvsqKJLA6iD5VfjCo7bNr/pxP97ixQNBAbEl4/Lw\n9s5TmuGe5jDXsRAqGWnQYeHwTBE/IgXAkgBeO+iAQJFy+/S5WLXPDUhCPKXHUgJJmzSkWFoGiiRU\nybg8DIeKwy3466UhgPDjG49g2qC04L38h0BHAn99v1IxhpaWOhXPA6BgoBRc8l6Gg4/hxI/4gmGZ\nolS9Wn1W7alHeowRW4+24HY2BSt+qsMVeXYx349+qsNfL02R8cDsrHFhWakTFpqPomE54MfaNjjj\nQkySeoqEt/p7EUughaFoqtyG1qrvUUH0wfZjLlEsbs6QDNlYCbBAXZsP0SYax1u8iqO8lyY4sayU\n/2gJYNf561vw9Ogc2QeXF1rk5xZhgqcI3hNY1+rDgdMh5k0DxZPO1UiEDHsmWLBsfJ5IyvVYeQjw\na0jvjSjnpWiq3KasaNBKSkowougyBECqLAQAP8eDREkC0JMEYgyUOP+pzUPPSULMvQwfeWMLHj0J\nvB2gAYAL4ixC44gmOBkvUVeMJAkxskraTnwIOyd7rhD90+wnFOXuKnlZeF5/VDu/GPmNTW3l35UV\ndFcJyUaPVvc2dGZtYQA9P6fHrNMP4M994uE/rgfDqAtudSaUJ7ghpeF5s4rTOnRDGnXqYZRmGrg8\nRx4aOrOYd9MC2kJhLi+D6Z/uxyNXqocVap27f7WpAhXlPE5HC3uxvaIcf1/2Mey5+SIBWHheFg18\ng4WmxGd5/HyG5QcbVUGPASZEGCYNlZTuHrcdaUZlrRvdbAZM/XAfZhY7cHlurBid8nBZNW7pn4sA\ny8n6ZNeJVlyeGwMzzYEkCAQ6ABmqkXEtGZsLAPAF5Ome/foY7ujfDc44E27/sFJTkJBhOdGrAymQ\nlYPMEyANtzXpKDGv8H6Xks4Ji72/9eMXSgGG1SBu42TPmjYoDWYaYojnc+PyFOHmC4ZnIq1+B35U\ntIjSBD0n6Xgz06E6CKRz4X0q1MfLcGjxskiNIOAJQAaSvmclH0/88gQnDjfK55ZZJemINJC4b02V\neG1KMN9dJ1oxuX83vLytRiS2M+v4D7hIyuWWk3IRBIGMa+fAuPZJbP5qg6KeA4r4qD4WpKqnoGe8\nqUMPgpaYnHDFQBFoaPejtpXtdM48W9PyQro7mOvOi+D9fDu/GPmNTW3l35UVtJSQTMtKSkpw2WWX\nnVW5wsl3GFDY5C9GsS0DDKpEbIDUugIG03JDAhC5C8K9Q21+yCi7BdKnrNgUXBAvd5VbaACIxfZj\nLk0gm5HmwaGtPkYT6CaQnkll5ze+9kboviD2ApCTwAGhD43gQg4nrDLrSZFzQfjY3V2YKranUEYp\nGdqyUifAhYicSDIE/EuICIVKAhJitnF5eH17DaLz7KLXZ/m4UAj1M2Py4OGM0JEEsiRHDjYjBT/L\nRxFEmfTQEfyxlbSdKQJo8TJ4aYITG8JAmAIZF0EQqG/zyqi+N1U3AvFmvt4aIGgdScDPsGII5xoc\n4hcde90ikDg8XDrarBPb2WbUqYOCaUrk5aAI4KkxudBRStItod+k9T3R4pWFmFMkoYhamft5FUwt\nck0VLbsgwo8nJzix6VCjSLwWI6mDVp8+P96JWy5NDqYLkQKqkaJJ6dOFPNQ8msIRYZMnABLAn/sk\n4JZLk9Ho9sPlByw0AUPwXVQDrpstEVj6+tt4b3UZXnr7PXhaGmCyxeCv116Fa64sgVUPNPvV57ll\npU5UNUjo4IPvWmaMCTZaGyhPIBTZtHJ3PXbWuLrkdTgbL3S4F1Iog0XnQ/RPdwIAGp2LAcoo/n62\nAP/zFrLzi5Hf2M52BS0Qkt1++yR8tbEMVz0TTOvn/19czO9IzjasV42qe3JwJypgAwwUodg9RnQh\nrj7cDdmZdyjAqkvYMyyHXSeVPCPp0QbMHZqBGBONmcUOURk2PJRy5e56hdfhjv7dYKQgkp5J811Z\n3zWcjt8VCtVs97MKr87C4ZmwheEUOI6fooQy1rX6FGRoC4ZnorE9gCc3HsGdA1LFfO8fkqE6hk65\nfOiXFiV6D+4ckIoDp9vhDN5z9yd7cecgJ3rEm/Dt8TY8+/VRkYRNSiE+qzgdFgOJ2z+sFL0wAgZD\niO6ZmJ+AD36sw9RBaeBY/npdm0+1HetaeWkIj59R9bjw+ikkTrm8uGfph2j8vhx+VwNoawzW9i7C\nv6f9GQ3ugCzcFhynIAaT7vinF6WB4eT4lGlFDiRHGjS9Y1NX7ZeVm0LI4+LWeG8TY7t2fPpTK407\nP94rI7grO9gg1kGrTwVKeoFgDQDMGp5DrWgnNY+mN8DieLMXW480KQjDphc50DvRBAPBaXo2OQ5o\niMnDq88/LcN1uQMcovSE5jwXYDmkRimjxYQyqj1vRpEDFj2F+wenizwjQp90NGeerRdaAL6G43Ai\ndCxMdTy7cZPzadkS42w8wOdNbueb6je2n7OCtlqteOutN/H15q346JNPcPJULa6eGI/xY8agoH+/\nn8UvQlOhnbfNqIOf5RQiVxMvTFIIheXaTQqxqs6sM++QjiQ0d69q3BVLxuWJbmspTiE8lHJnjQvX\n9AmFbXazGfDytuPolWhRzbebvWsfGtoaDUBJoCbk5WU4mUS6cO+yUieeHZsHP8tzVQikXkI6H8Ph\nyY28NyXXbsbr39aInhG1MZRg1csm6x4JFtz70T6MkoiZCRgaYXFRlBmt2JE/vCG0m1bD4QhU3EVZ\n0dh0qBExJponhIs0KOog9A/AU5drhXX+8/PdoD5/Evs2yj1/dZs/wZ2Vq9Drpgdk6QhCSX0u3fFL\neVfCy63WdvogEVl4Own3atHPjxw9Gh+80/nxaUzvYlm+ghid0LZaXj0BIyOks1C80KQW345aHmoe\nTUE8Uo0wTMxLr+3ZbA0Au2tOY1zbVADAPxpmg6AMsNApELw3Wl4wLcp6QP15JAHcIsEaCXl1Nmee\nrRdaT3AyQU6LnkQEDejZNs0054GoP9/OL0Z+Y/u5K2iCIDCg4DIMKDi745iOyiXgMe4fkqEQqgN4\nIqTw6wWOqE7PRMNdpX5GXRxK2Ol0dGardl3AWwDA4xt5TAMveOeVhVJO7t8Nx1u8yI0zwxtgQQCY\n2DdBEzMyaNhIvPtW1z40agRqgmmJkZ1q9WHW6oMA0KmImScQIkfqlxqpQgOfBpoAbrssBdddmAiL\nntLcKUvxQVq8HGaa50WREqwJisSjutvR6mPQ4mHgjLOIhHBa/eYLsHhoeBYoyIX2hB2nP8CA+exx\nbK0oV23fivIynvSv6G24/WyHdfMEWPxn1yncckky7h+SIVLWC7gLLTxMq5dR5NXmY/DwiGxYDJQs\nXX6yFaN72GE16GDVk+hz2SDs2qKukAzwxFgRmb1l+XoZOVmXFtmelJI+wHBo8BGa4zXAsJhZzEew\nSMeFVKMlfJxq4azafAwoghI/qOEAywgdgceuTMdFO/h6x497GV4YxHlMa57Teoel2DM1T6o0r0KH\nDddflIQ2HwtA+6N/pl5o+TxFwEYD2YmxaGjoGrfKeSDqz7Pzi5Hf2M7VFbS0XH5WfZemtsPqbHei\n5iqdVZKOgWlm6GtXA+Dl1nWUTsxL68xWSwQtnAzKQPETdkV1k4g58ARYRBkoHGr0KHRhcu0m1XwL\nCwd0Gjlw8YAiPHj7OJAEoUmOpSVG5g/+LeWL0EonJetSI2bLjjHgp1q5BtAzY/PAkWZccny97LlS\noiW15w5wRKKx3S8LT55ckIrsWJNI/iZcn1HswAUJFjy4jtcdUaunN8Bh/roqzCx2oL7NizlDMkBT\nBGxGHd7acQKrv9yIfRoLEcG+3rgBEx//D4zpvWGgCE2yLjPNU9ZLjwEEIOjOGhcoDTG/GKdd9jyh\nTw6cbses1QewdLwTW4804anRuTjh8sqOf2Y+vBiPzLpLdUES5bwUGdfOEb2W0sgoqTckvE/DMTID\nHJE42uzFIxuqMWdIhmrdT7b6sf7AaTwzNg9tXgbtAQZ6isCPJ1s1Sdy0PDKN7QFMXbVf81iDBXDC\n5Rf//vuqfbhzkBPxZh0oaM9zzX4tgjLteUQ2NzEcjjR7cZekf7XKeCZeaK0jnYKICNUynbdf3qh5\n8+bN+28X4vdgbrcbLKvCWX0WxnMbAFaagJFShjD+2sZwBFwBAidaPGA4AjTJLzSEchkoArnxFmw+\n3AyG470Ks0rSEaEnUV7VJF6bXeJAqpUWyy/k2+DlwIIETfI7jRmfHRQnBIYDthxuxtySZFzbOAFD\nzeXIuGw2huXFI8HMK5EGQCAv3oKtR0LPn17sQGIEjdQoE3YcbxGvTylIRZJVj9V7T4PhgJlFabjx\n4mToSAIFDhtsBgrRRhLVjV5EmnSY87m8LFuPNGNUdzuc8RZskzxvWpEDdjONgpKhqDlYiRPHqnH/\nWL6ei1YAfgbo238Q6JHT8WV1GzYfbsbEvolIstLIiZPnNTQnGpemRmJL8Fqhw4YZxQ74WQ4lWTEY\nmhONWBOFnDh5nYfmRKNvihXfHG2BRU/hyu52Md/Tbj8uTY1EslUPE02BBYH71sjr1uj24foLk8Xn\nCvVKiKCRFmzHMT3sSI+Wt+mMYgfmBuXchbx2HG/BpIJueHBtlaL9BmVGY+3+RozIi4Uz3qLoH5tR\nh0/3nsaWI82YXJAKs54CSRDQUySa2gNY++4rcB+TSw2o2aUZcZhx0wQUZ0VjZ00Lrs1PxKDMKBRn\nRWNodgwuz4mG1UBh7hfKst/aLwW9Eq2od/uRYzfj4bJqrDvQiM2Hm3HdhYkwUAQ2HWpSjKvZq/k2\nzbGbkWM3I9pMY05YO+846cHyObehwp+KPql2wGqHMb0PFi1cgBtum4JvTrTL2v+ky4dLUm0or2rA\n+J4JYnuddvvRKzECaVEGVDd68cnuurA+ORj0EDKY0CtB1s6TC1Kx/kADNh9pwdp9pzGuZxzuXbkf\nG6uacNtl3TB79QGxvhP7JiLVRiPbbsG6/adlZZDmdbjJi82Hm3GF0w5jGJlQs5/AvC/24oaIdwAA\nL7Vci4ojbgzLs8MUvFdtnqNIAln2sHe7yIFUG422sLlDOi8Kefk5QqYtxHDQLCNNKuex8DlLMFeA\nUMxTmw834/KcaOgJft4nOD+sR5YAAFoddwHkGZ5Pn0NmMpnQ3t7e+Y2/gFEUBYvF0ul95z0jfzDr\nCqirowgYLY+OVr6pNqPCVZqfbMWRpnb0DP79z7JDuKe4u/h7gIGCmEpPEXD7OFUytGw7X1YACkG1\n6UUO9Eo0IT/RhFNt6m7bVp+SmG1fnRsHTrfjqa31eOalN7Bx4zoAfwHAk4cNGVGK7vmXwMtCRozU\nppFXYgQtEnQ1tftxzychmvOZxQ60+lh4AqyMfAocB5okseiKbLT5GSQHpdGl5FQ3/GcPDBSBJ1TI\n0ioOt+Cmi5IUhHNJVj262QxYdEU2Wn2Mok2bPQHN4xa16wL40KWS16o99RjZ3S5pawYzPg0BRacV\nOZBItqErVH2b9xzGyWCo7sMjeFZbqfdmRrEDcRb1YwebUYeVu+uRHWtCf0ekrE0oAC9uq1GUOyMm\nNHa/OtSEa/MTNNug3c/huUkj0f3IWvhZI35IeQSf7HVhQJRR7DMp4Zhw3BVv4cURG9x++BlOfG5H\nfSKl7o826dDYHpBhhaRHl16GD51WI/7KTzQhKzYF593TMgAAIABJREFUAcnvje1+RV5qxxodafV0\nFOqvhsew0MDuLgJNz+To5Uy80Fr5tvkYRBgVt5+3X8HOL0b+YNZVUBfF+ZHQyB+jeOwjAEIn0hsL\nr6ybAVw+HqzGQTuUL9xVOqp7LB546V1cGdTxOPDRc5i9fyjenfFnROn5/KU7cyAE+NxZ4xInSuE6\nD5rjdzNawD4rDc1jHoueRHVjO5wuCx8q6QVSbAbMCu7A9DoKn7bE414Tn+ZU3+uQ2fsCzPlCHZQa\nTvK2cHgmPgoSbUXoKcxeLVeNFYjXllTIKdFfnODELMm9wjOWBkmzpHlo6XBQFImb39sjuzY0JwZ/\neW+PZpsuHJ6pGQLd0fEdAaj2z6jgYsRAEXB5A7JyP15+GM6MbvihAp0aGREdqq+BkrWNlwmR8KmV\n0aAjg2KJyTLArlBftXLfflmKLHzY5Q0gKdKgOYbu/3Q/1iV8BgC4unIyONIMdyABrW1+PnT349Bz\ntx5twc4aFxaNyIbbx4ghujqS10bprE+E9MtKnWIUkLQ8xiApmABWjdFzCuIvgRBMwEqYaBJTVynH\ntNqxhvAuSa2rQHz+GIf/jwCv7N1VoOmZBgB0FcehlS8fth7osD7n7Zexc06b5qOPPsLs2bNx4403\n4tZbb8Vjjz2GmpoaxX3vvvsubrvtNlx33XVYsGABTp48Kfvd7/dj+fLluOWWW3DDDTfgiSeeQHNz\n829VjXPWOtpZSI3gfIjZfTtidt8OgvOJno9bP6jEpI/24tYPKvFdTRte234Ct35QiRavOqjOE2Bl\n2gu6QDsevPNmVR2PW2+cCJfLpa3062cVOg6zStJR1+bDrR9UolUjXZuPxc6T7WhsDyg0LCYXpIIm\nQqGSD3xRhQXrDqHB7Ud+shUA0NgeQHPAiEuOr8clx9fDw5k0QantflahxWM30yJw82SrTzNduB6G\nL8Aork0rcoj091KrafEq7x2Uhq0Vm3Ds48U48MY/cHzFYlxhOQE9yYl5GVR0OAwUL8IX3k6AmmYH\n/7eBUtdUmVKQKoaHzyx2yJSGhboXXT5S/NtAA/+5i//PEPYhiuldLP7b0wE4V62P2WD4sRpgd+Xu\neoU+i6BjI4yLuz7Zh/nrDsHlCajqnVhoPpJLMCNF4qHhmTjdxmsSvfxNjaJtZpWkg2FZ2bgryYqB\nN6AcQ/qgBy38uWo6KoL2jHBPR+H30vf6xa3HFWXU0klhWQ5/69dNVl+hnTsy2Tzy8V7c9mElWjQ8\nceFzEvDrablo5RtnNYn3cCDRHjcS7XEjwZ17n87fvZ1znpHKykqMGDECmZmZYFkW77zzDh566CE8\n9dRT0Ot53vGPP/4Ya9aswZQpUxAXF4d///vf4j06HV+l1157DTt37sTUqVNhMpnw8ssv44knnsD8\n+fP/m9X7ZYwNwFgv8VqQXe/Gsw0tVvOoPCuhadaiMTfqSNFV2uZjcO+tN2DTVxs0dTwmTZqEZ15+\nS7OMamF/S7ccx5whGSA1FHFNNAkTTYIANENLjzSFiJjMegp+hsXEvokY3SO0q+8KKNVEk/AHKdPb\nfIxIuCVESWgBBk00CTNNKoi3nHEhl3aEnvdAuf2sWE+Ap8FnOKCHhBCO87ox465b8dWGMvE5TQDm\nVqzAmqIS/POZpdhZ347sWBPiLLTsuToS+PinOtV2SrHJNXy8ARY2AynSlPsYVjxWstAUSBK44aIk\nmGienl7gCpHWfdDAAbh4QBG2V5SDIoGr+vG/3fRC6L4o56ViRAqgJOkT8rLoSVXitd6JFrw0wYkA\np2z/nTUuTO6folpfqactP9kKl49BZoxR1l4GCjjdziI9OvThWjI2FwFSj/uD8gPhAFWrXhmyKnjy\nlozLwwYJ6R8BYMVPdbijf4rsuRE00B6AgqKfZTkkROjhjLdgzd565NpTNMPvpe+1tIwxJhoReu1j\nDZoisP1oM64O/j2j2IFP9zchP0ldfVfteUKdtcgI1eakXysAQCtfk4FGuxDRSxnReMGLP+s5503b\nzrnFyOzZs2V/33HHHbj11ltRVVUFp5PHBaxevRoTJkzARRddBACYMmUKbr31Vmzbtg0FBQVwu90o\nKyvDPffcgx49eoj53HvvvThw4ACys7N/20r9wiZ4LQDgxMD94M6gG882tLgzmuZWrzqhFctyoAjA\nRgM/fbMFm8rLlJlLrKysDDu/2YLpRfkK0iGaVLpd6z1QEKSF012/uPU4dta4cHdhGv7UKwFtfgYc\nx2t1jMizA5w6EVN1Qzve/6EWc4ZkKBhUjUE8SjhtO0XwmiVS3MqMYgfyk63YerQFlbVtMkE7oW5G\nCrjvc2U4tUBp/tDwTJx0sbJomblDMtASVJiV4k9izTrcPelv2K4RoVJRXoax19yAN95+BxYaOHja\njxnBIynBKzIiz44FYSG4NAm0sSwCLAGWAwIsByNFYHcwiiecIE1IlxFtxM3v7cHE/ARVMimTjsDf\nH3oGd9z+N/gOKSOX+g8sxm3znsJLOxvFdL4Ao2hHof3V+hIAbDQHD6fsN6Fu0pDjWcVpMu+LGl37\njGIHoow6ETgsFZe00RyOeeTvjEBTv3R8Hmw0h5o29RB3jz8Uxi1Yv9RI7K1rFwn9BFxFz3gTzHRo\nvAnvXUV1k7i4uO7CJM3w+/D3WijjsmAZtSxCB5Rk21G2axAYDnh4wzH8vTj7rOYRNTLCjuakXyuE\n9nxo7n/XzrnFSLi53W4AQEQwxKq2thZNTU3o1auXeI/ZbEZOTg727duHgoICVFVVgWEY9OzZU7wn\nOTkZdrsd+/bt+90vRn6OSXcAHoZHqHdlZ9ERTTMAuP2MqtdBulNatWpVl8r46cpPMOCmPAXBWlas\nCc1+QlZeMowgLT/ZimizDjdclASa4knPhEm5oroRg7NjZKDHWSXpgAqB1uPBHerbO09h4fpDWFrq\nxKIR2TDqeC+LjgA++um4or7ZsSkK3MqjGw7j4SuzMao7T/u9qbpRtW4d4TFYDjLvjZEmwbCcuGAQ\nnvXIhsMYE3lKcyEiWGPlNrRX7YIntr+ivM9sOoLHR+YERfdY6HWhMh5t9omLMgNF4PnxISK68N2/\nmSZxosUr6PTh/R9q8fSYXNW6bz3lxzv/+jcqvy2HABT+0zXX4uLB4zCgoABv7Dgha2s/Cxxtalfk\nlR1r6pBUy+0PtqNKGdSIvYQ+USN/e3TDYQXVutRMGu+MUcfv+LW8O1YDpaB7N9EU7gvDyAi4CuF9\ndvlYRUiw9HlqdraeUorg0DMxCq32f8PDAM+ewTyiRmUfa6a75JE5b/+7dk4vRjiOw2uvvQan04lu\n3fjzyaamJgCAzWaT3Wuz2cTfmpqaoNPpYDabNe/5I5uwA8hIiOkyoY+aR0VKF2/SERiaE6vYXUp3\nN7W1XaNXr6urhd1ikPGBCGJmt6/YK0Pad7Z7nVyQin6pkdh6tAVX5Ck/KA+XVatGogg7VOHfx5p5\nhd3FY3JxosWLKKNOsXsFgP/LT1TklZ9sRYBhQRCAl2HR3xGF17fXoOJwi6xu4Z6lqYPSkBShx4tB\nfoUB6dF4/dtQuulFDvypV7wMLOtlOGxc+6n4t4EG3pzE//v6pSH5AAD4dNUnyMjvp1p3huNU219Y\niAjRIG6/HKcj7KwXj8nFuv0NKMrktXZemuCEN8Dgte0nZMBMALg01Sa2pZGIE4HCU2b+A6/vasHe\n7ScwIF1OlrZwWAYc0SH6fMHDoUXb7gmwgJ7nn3ljxym8seNUWBmikBpBKIi9hDHPQR0jFGnQieNL\nas1+AiyUfSp4CwGAUZFguKN/NxlWRWj/RzVEBoUoEhsN+BlCQZsvfZ6a/RwSxrOZR9So7KcVObCz\nxoWMGCMSzeT5Rcgf1M7pxcjy5ctx7NgxLFiw4L9dlD+8adE059hNXQr9BYD4+BC9upbcOgDExcVr\n0sFLd4Q2GjICL7Xdq1R+XOuDokWyJo1IELAezZ6A6CnpasTJNfkJONbklem7TC5IRYDlP95C3QSS\ntkiDDs2eAFzeAA41yrV4pOkek3hvpGVorA8FymphMACgrq5Ok+ZcCgYOb39h0bdw/SEs0SAfs+gp\nXmsnTKcmL86kjIZSaTOAFyy76eIkNHsCoCkSS0udONbsBQEgIUIPP+uVhX9TBDTrI+z0tSKC1Ei3\nukIE2OINYEB6FABg17EQb8OUFXvx6Jj8Dr2FBEFoYpjCvVUBluuwXoBc0kHLOxluvzUJoxqVveC5\nstHnvSF/ZDtnFyMvv/wyvvvuO8yfPx/R0dHi9ago/sVvbm4W/y38nZ6eLt4TCATgdrtl3pHwNOG2\nadMmVFTIYwwTEhJw0003ITIyEhx3jrwogRD6Mzo6GtB1TiijZjRNIyYmRnGd4zh8vXE7koJ///Of\n/8SocX/GwIEDEdeJ/k1cB79de+21eP31zunVS64YheU1ykWDK0jZ7WU4eBh+R2by+jF7cAb++eUh\nzcUGB36XqKXpoiPUhbGEiIQ7+nfD53tPY3IwMiQ/2QpfgMWjI3PQ6g3gk9312HWiFdMGpYEAFLtd\nq16HZ78+oLlIEna4f7k4CXqKRJufQYrNAAIGWQhvfrIVMWadCKxdubse3gAr1kko66I11k7bGABS\nU1NBAJhSkKrAeahFvbj9rBiqKyz6yqsaVbEbOgKK45LHyg9jaakT7+6qld2rJ0PtD0kARX2bD/ev\nCx0JzSx2wGqgMOfzKjw/3ol5a5VhqC9OcKoqJBMATBYr9Eyral/rKai+CwA/po/WNaqKLAoKsnOG\nZGDPiQYcsVyB+jY/2gMk3vi2RuEtnF2SjsSoCJgMNNrqW3jMEgEZhkktmoxU6afJ/btBR1GIiYkE\nAJi8fgzLtWs+ryPr6L3tzLTmETU7WdOo+o76WSAuNloj1X/PzqRuvyf7LeslsA+/9tprOHVK7pEc\nMGAACgsLAZyji5GXX34Z27dvx7x582C3y2ma4+PjERUVhR9++AEOBw9Mc7vd2L9/P4YPHw4AyMzM\nBEVR+PHHH3HppZcCAGpqalBfX4/c3FzN5xYWFooNE24tLf/f3nnHR1Vmffx3pyaThBRCSChJCJgi\nIChSAiwhSFEEWUBxV2RBKRoEd9VFXUQBFdz1tazKu6ggiJRXXLCAKOpiQAkl4IKFkoAhgJSQkD5J\nJlPu+8fk3ky5d3pm5k7O9/PxI7llnufc8tzznOeUWuj1esF9/oYxNvCKQlVVFVi5zuHxYsTF2ZtX\n6+rqkJeXh8MH8qFdZ9723rp1eGv1OuTmmisDR0W59rGzpXfv3sjNzUV+vrgTa25uLn43bCg2flxk\n96GpaTLw/w6TA5WVlTCyDKJUDJ4dLV5ArmsHNd64Kx0FpVWClYlljNnCYjnLVssZ5PaMxegb4qA3\nmHDxl6NY+dx2NFRXoGf3rpj13QCoU2/iQ1Yfye4KtQLQGawjdiKUcugE6tVwShLXR41ShrPXG62q\n51qa5oWWoBYM7Y5otdwcydJsgkLO4IMfLqM5LRvANqf3Y8yYMajVtSYqU8oZxGmUUDCMYNSLRmkO\n37RU+jYfL8P0/p1b/EtYsz+NDKgTCfVuaDYJ+ms0G014e0omGhvrgGPm483+MGH8uf/Ya1Zm3vp9\nhmhNnfpmEyJV9hWSG/UmHCgpF4weqm0ywGiCw6UGg4lBt2g1/jU5E5dqdXxiNM7KExuuxKJR6Xj5\n1As4fKnFR+l8LR68tYudf1ajtg6NWkDFMNAZTXaJ2zqo7a03YgnlbogPt+p3305qOysH115bITSO\niBEuZwTfUe59DjbckU1K+FMupVKJTp06YdasWQ6PCzplZO3atSgoKMCTTz4JtVrN+3hoNBo+tHf8\n+PH4+OOPkZiYiISEBHz44Yfo2LEjBg4cyB87atQobNiwAREREQgPD8f69euRkZHRrp1XncGyLPLy\n8nhlwXYZJT8/H3MeysNraz5ApEru0JxrWxzPfCywevVqqzYs4ZQdjZJx6J9iuaZdbwAW7zYnSHt9\nwg2Cs0elDJj/SRG/xMAN6IlRKtQ16aE3QXCW/c6UTCh0tch7KA9HDuTb+F5sRnK/bLz2v+9AIZfB\nxAJKAEqLgoNcH1ZPFl7KYNCaD4SBvSWhTmdwuAS1qmXpJE7FQs7I8M7hS7g9Ix5j0ydj6S87HDqx\njhyZi6wB2TCBsUuwNSylg13BtSdaIk4OX6jGzAFdrOTZfLwM236+hrV3Z+JKXTOajSxiw5SCYdYR\nKhlv7eHuj85ggsEEXKrV4R//OYfF0SNwc1IUGi9Z53LQGVnU64x4dEcx3rorXXTZ4vE99vdy9ZRM\nfnnPYDLhUq0OJhaoaTIiTAGnPhKRCqCkUgeFXIYVAr8foZLh/45XYEJWPO7MiucdM5VyBtFKVtCv\nosEAXhHh5OMSt9k+x50ilIKJ2TTKrjCysCrwFqkI3ogQbwuFEqELwwbN2oOZe++9V3D7/PnzkZOT\nw//90UcfYc+ePdBqtcjKysLs2bORmJjI79fr9di4cSMKCgqg1+vRv39/zJ49287x1VXKy8uDyzLy\n/Q0AWkJ75RonZwhjqx0fOHAA99xzj9PzMh56DfHp/UVTNjtLOc+yLA4dOoSdO3eivLwcnTp1wsSJ\nEzFkyBDepMcpM5b+KfXN9mvalxtY5H1irmvy/Ng0FF3TIictls8xsa+kCtkp0VjwWbGdHP/6fQYS\nNTJc1hoF97911w1Y9NBM7N+XD40avKUo4kGzzwtgzn/R84GVfBKrfgnmmbxl39UK4OerjXZLAz3j\nwsEywMkyLZJjwvDoDus+DO7eAff07YSmFkdJ2/2AudpvZEuhwNWHLmFCljlKoVFbh5efehQ/H9lr\n1+/sESPx2Iv/xBtHKrFwWHeEKWT24bZKGTpFqqzSyGenxKBBb4BcJoOcAbTNRuw4WQGljMGMAUlQ\nMMD5Gh3+kV9qZb3ZX1qNH6/UY1FOMtJiw3Cprpm3WoAFdp4y/8acQV3wa2UjXt57Hm9NyrDKlDq4\newdMvDEeseFKKOUMissboJQzeO271uWYp0amIDlajXcLL/PXgavaO+2mznhi1xm8NzUTF2p0+LtF\nH7n75sxfwcgyaDCaSw5wIbbcx7R3Qjh+vGpdqHBRTgr6J4abM50KzEQtn13re5qBjf+9wsvAADh9\nTYueHcPt2u2TEI5fXEyl3la4O8u2fbeDOXLGUjZfjbvBQCAsI84IOn1069atLh03bdo0TJs2TXS/\nUqnEgw8+iAcffNBXXQsaWLkGl0deculYIQsFYP5YXr1chXB5a6isq6G3lT/tRVTPfqIpm8VSzv9r\nciaUMgaRCgbZ2dnIzs52LmvL/zVyIEpjP9uzDE2MUsmRGKW2cppcMLS7oNlbLWfQQS1rSYMtvP+7\n7wuc5kWpPl2I+pKfwPTsh7/nl7ZcD+t8BdV6Bvk2Sax2F1WgR1xXXK3V4ftz1Zg7qKtdHxQyoFZn\nclipVaWQ4aGPT+OFcWkY1SvWKkph8T/Xovz0QQAzAABT/3AfBo76PW4bMQzzWpbBXvnuAv46Iplf\ntuCSZq0/erk1/FIHlFY1Ylx6HMq1Jvw9v8TKjyM6TIFHPyvCktt6YM+Z67ycnHVg9qAuuFbfDJWc\nQZjCvGzGJYRTyoEHbk1CtFqGJqPZMdWc0r3VR4LLX2Kb46NnXDj+9/eZaDK0JgFrMgLDU+3zznBh\ntjIZwysi3LP59/zSltBfBk16c70UoQ+knGERpQD6dxYOAxYqRWCumcTYvWu2z67lPY1QmZe6OBjG\nfP3vyIgTbNfxuxa8H/rg7BURKIJOGSF8h5CFYuXtaajVmaxmhtxMytXQW31dFQDxAlViCdIu1eqw\nYs85pzM3V4r5cViafU0seNM21+aqAxfx7tRMO9PwinE9cOZ6E/6eX4r+XaLszOLzs7th5XP/cul6\ncMoZ57Ngdz2a7ZNYAcC4jHis2HMOC4Z2h8lksuvD/bck8QX1Pj9VIRj6u+9Xs0Ngs5HlrQSc7C/v\nu4C3JgwBjprbu9xvOrr3zoRcZv0BfOW7C3xyNQCY3r8zRtqEXy7KSQHDwO5D/g+LXBsdLdLec+c9\nMrQ76nVGLPmqhF8u4RJ0DUvpgD8N6AKNUoYT1+ytCn06a/Ds6B5IiFBZWUm45Yx/3pVuVXBwUU4K\n0uPDBZ+B/51sfgbE0sjXNBn4arDOrAtCybG0zcIJzGp0Rvz18zOCv6tRCDtORyjtw18X5aQgTG6u\nJ2PVrl64XVffNW+wtBQwLloK3Hm3ifYFJdgPYYRmTY0G1u6D8lL+edQbrENvHaGMMnu9t4YWWsPN\n+CzhfCQs23On32LnWIYmqhX24aE6o7nuC3fM25Mz8O6UDMRHqPjrcPhiLfa3hNWumpSBZ0aloqC0\nGr9duWrfoACccsYlmDKyDGr0DC43sKjRM3xyK7HrserARehZ8A6Kz49NwzOjUu0qtRa07F81KR1v\nTkpHaWUjH9YrVivnmtaI/zSOwH8aR6DRIMMr+87zYaqWcE67AJCZECEYCdNsFG6DS2MRrpQJhmRH\nquX83/Utjq2Du3fA4OQYPPpZEQwmYasCyzBgWYg6q5Zr9Xbn6E3CfWxqeQYiRAq82YYyO3tGbRG7\nx2qFTPR3GwzgLWbcPc//tRJavfD1aBDoj7fvmr9x590m2hekjEgMlmVx4MABLF68GHPmzMHixYtx\n4MABwbBjIQuF2EerQW/ChAkTXOpD3E0jHRaoEio6xYXF8u3pGhB7Yh5iT8wDjE1O+831UQjzTJXl\nl2Ms4RQm7pgkjdmh0DY51uGLtVjyVQlUcgYv7jmHwxdroYxyLfRNGRXLF4VTK2BXULCqQY+//M6+\n8Jzl9QhTyHD8ch2e/boEz31dgme/LuFzS1j28cU956BRybHw0yKr/CKWyoSl7KxMjb9VLsXfKpei\nGSrojOZicrb3J9yi6J1SIOeHzsjyYcS2bXBZYsUKHFY26PljudwtE7LiecVFqxeLvDHi2a9LUNNk\nEP3gutrHCJX5GRB6NhflCBfwE3vehDC1JDCzvcf1OqPVcZa/q21J+255zwvO1zosFGmLS++aG3K0\nNe6+20T7gZZpJAQXdmsbibJhwwbBsFuhNWmxAm8apQzZ2dlOQ2+H5eTilcfuRpRagUiRJEWW1grR\nFNVyILzcnCn0fM83ECFjrNbShVJGa5Qym8gB67X9SAXwdG4qb/HgqsrqjSxqYP5o6gwsZDIGKpEQ\nQ21za42d2JtyUH5wh9P7sizvfmQPS4fBaITBZD/zW7z7V7zTEpKqN7KC10Mps48yCG9xyrR0Wvzr\niGScLNPaLdmoWhwxrWTPScHuIuuPLPdhToxoLaoXqZJDLgM0SjmfNl3o+ocrZQJtJCO8pUiiRsT3\nRm/R97MVDXhhbBqiwxR4dnQP7DxZgQiR8yJUcgzu3gGfn6rAn4cn4439F6xkO1OhxQtj0+z6KLT0\nEaW0fzbrm02obNQjQikXDWV21bNBLOFY95s62/WRT8DmoGy9swRnHHKGRR+LAokqhcyqBIK7crQ1\nnqafJ0KfoIumCVYCHU3DsixmzJjhNEfHxo0brSJSLNdnOV8JS58RziufW7MVU3gAYMDQEVDcuQhG\npcbltd6qZgZnLPJncL4OV6quI++aOQfM6LJdeGxkJv9bepbBcYHIhH6J4TjhYL3ZyDI4V9OMRgML\nhYxBdJgCm/57hU+f/pffJSNSJceLe84JFnV7JLsb9pdW89EhRpMJj8/9k1vRNMnRaszeftruOrxx\nVzqe3HUGL93RC7/V6OxSgPdO0CBWbR1loFEA52v0aDSYrLKMfnqiNYJFb2ShUjCQgUVVo4FfNpEx\nQNcoFX6tbLL7MPdNDMcpm+vIRb0cv1yHNVMzUVRhnfPkrzkpyIgPxzuHL+GBW7tAqzehTmfAzpMV\nUMiAPw3ognAFg+IK66ihJ3OS0T1aDZYx9/F8tc4qr8YjQ7ujo0aBRr3Jrp/NRhOMJuBqnQ5ZCREA\nA162bh3UVs8V18deceGIUgF1erOvToRKhiil2dfCFu79+OZMJQYnx1jdE8t3whX0LIOfL1/HhDPm\nmlljyr7A4rE3ol5ntCpuZxlhI/R+CkXIOOqPkA+GZQSTu3K4gyfRJWIyB6vPCEXTeI+r0TSkjLhI\noJURV8Nut23bZhWlIhRGB5itC2KF8liWReHB79Dtwt+g0+mw4cxo/G7cZLzzWwyaLaypajnDR4+I\nUdnMYG3hJX6WzQD48nQ5UutO4DGNuSBa6tvjEdVnNLY+eS9iVOa6HnO3n7abPb09JdMqI6ltHyzP\ne2FsmlVeDu7YZ0f3wJKW6riW4aJNBhNkMCeX4ma1Dw3uCllTLfLy8nBgv22eEbMi0uO+JZCHRTjt\nI9fuC2PTsLuowup6cG1x0RGc1YcFME/gOrz1+wyU1TVjd1EFZg/sCoUMMLKwa/fFcWkoLtdieI9Y\nqyRjuT3jBPu45LYeePbrErx3dxbmf2K//1+TMzF72ym8OC6Nj2yxvT9XanVI6qCGttkEjUqGk2Va\nvPLdBb4/Quctua0H6nUGZCZE8BE93Hli1/TdqZl8XRrbPsSpXB/SuPdDbzRbzJoM9hY3V6jRM1h/\n6CxeNo4AAHyTdQLqsCir4nZcHy3fGbEwV1fDX8XeldWTM6GQuVa8zlM8/ThTaG/gCUZlhJZpJIKr\nYbc7d+60UkbEymI7KnDFMAyGDB6IpObzAICe9y/FJV04mi9Y50Tg1nrFypMDsCuHbmzS4tfNL8BQ\negSPtVgaygu/wPnvv8DcEzuw7t23oZVHCq4ra5vF15ujlYzVejQLx86WQGtRt1WTMvDRj2WYkBXf\nIj9gMJkHy6SoKGzcuNEqL8of7uuE7DETsOZSLG+F4n6/yWCyW255MicZp8rMSwpKOYP7b0niLTbc\nzFDT4mtiOcMVK452ta6Zj3yZcUsSOqoZXKwX9g8SLgoXLfi73BaxiJMmg4n/XbH7s7hF0Xt+bBoW\nfFZi1x+h86LDzMNQWX0zlu3+Bd93mYC+AFYY7xL3AAAgAElEQVQxn6PJGC7oQ1HZoBfvo8pxyQJL\nuPcDSgBgW851/8Oo1Ztw8GIt0MX89/N7zmHxmN4On1fL9m3fT1fL2Yv5YDQbTeiodv06eIKRbf39\nGj1jtdTqCFdlCzZYRoXKG9/m/034FlJGJIJl2K2jSqzl5eVoCzxd67UsZMeyLH7d/AJqi45Ao7Y/\n9sB3e5GXl4dV6zaJ5l9w1AfLPnKF7WyPldmMz1y+EaHcFJEtxdMYxj4vSrWewUaBGWmEUmZXeEwu\nMy8ZWIVqjkzBA7d2gaol94RQlIFlBlbLNhiLfzsqACfmHyTmk8D/rkL4OqvlMie/6/j6i51X02TA\ns1+X4MVxaSLOp/b9FSscFxEg3wOhqBZH/lm+6mOgfDCMLIMT5Y3o1vL3gs+KrJZaQxKZAk0JEwPd\ni5CFomkkgmXYLVeJ9Z7B5n9b4oo5zBOEvPbFomnEzqsr+RG1RUccHp+fn48TRw8JthWldNwHy7Y+\nP1Vhjm6xOPYvv0sGy8LufBbC+UksrSi24boKGex+f8HQ7i1+HdaROwYTcOhCa9jus6N7IP9sJVRy\n8345w1rNcAd374AXxqZBo5TjqZGp1pEfI1MQoZJjxbieWHl7Gi97lNKcs8Ly2DC52QHWctuTI1MQ\nIXAdF7REYIQpZGg2GvjIGr7dnBTk/1qJ4SnRSIxU4eU7b8CKcWkY3L2D4P0Ruv7hCrOTrVi74QoG\nf81J5a95mLzl/grKxthFKHHXPxBEKoC/jkjm/w6TC8vryjvjbruevJfeUm8AXtp3FU9ffw5PX38O\n9QZluw/RtR0jLC1HhHPIZ8RFgslnRMyZErD3GXGEo3VDofVRT9d6ufOee+Zv2LZ5g1MZZs6ciRdW\nvOTRWjq3v77ZBJ3RBJMJ0OqNiFDKIZMBUSo55Da+AWWNJsG03G9PzkCShhF0EnxqZAp+vd6IzIQI\nq8JlD9yahCSN9SBU0QScuNbAO0hyjpu9EzSIN2eP59f++3eJwrDUVmdKLjGYiWUhY8yF8DiHXNs0\n5nqWQZ3efG0UMvOxBhMw8cZ4RKrkMLIAWBY9WlLmiqXb1yiAaw0GKORyNOlN0CjlUMrM1gjbVOpP\njTQnGtPI7e9PpMpcs0fIX0moXRkD6PUN6HPYXD/q9JCziFBreKdmS6dUk4m1Svvu6Pr7C5OhEd32\nW/edk1fMP8sXBMIHQyyVPffOhAqu+lZILZkb+YwQHuNK2G1ubi6GDBnidVssy+LwoUOY3PL30mVL\nMfaOyRg0ZCgAxm3jL7dGrK1sXWoymoB/H279tyXl5eUer6Vz+xuNMjz2qfBg2SkMVr4BzkzdQkso\nXOZRzhm29Zyudv2SyRjBZGDmMFrzNm6Gq5DLrJw8C87X4uhvdXZOnDoja5F+3tyOkmERpwLkjIx3\nagxjGrHKZC4g+U3WCSzPL8OaqZm8YsD11DLdfo2ewWM77R0v356SKZiBdc3UTH7AFbo/Qv5Klts0\nchk/kA9KUuA1u7vWKlucqrWPrhWOc+3jLFzY0b0n3fL4aCULluHkF/fPcgexPnrqg+GoVISz60Ah\nutaIJXMTKpdBCEPKiERgGIaveHv4gL1CwuUZsXSo9AQutPfwgXzecrF58xasWbfFo9BeSyyXmnR6\nYNqbwsf5Yqkp0o1cDc4qiYo5CUapFXwbjqqPOnQIVbU6Mt6UEI6rDcLHOnPeBVo/LrU6e4dPoNWp\nV29k8VNlk+gsTkxeR8m4HDkxO4MbyPt3icKQZBVQat7uyA9BLJV6uIAjsC/LD/gLW0VBo4BPC+K5\nWyrCURkGZ89/e8BRMjdv3o32RDt9dKRJVEtkx5GDe4Hm+wEA06ffh3Hjp1hVvPUUlmX5HCNCDqY/\nHPgOHa434oYHX4LOCLc1/wkTJmDDhg1Oj5s40XMnMW4QbzQY8NakDGxoWdZwNFhaJsISMnWLzQJj\nwuQtyaZa81kIziJFHG9Vchlq9LCa4UaKHOvMedfy4yJUVA8A71QqkzEOZ3HeJOPyxMLADeQTsuLx\n7emL4MpfPp2bis+LK5EW19XuGbNMpc4t0+wuqkDPjl3dnqH6albrq2gLI8vgx2tNdpWF/3Om0mcz\nb3dKRQi1YfnOtOUSlFQgS5H3kDIiMRiGweDBg4HvzX8vX7bcZ/HuBw8e5JeBxJZRaouOoL7kJ74w\nnDuaf1svNQnN9p7OTcWDt3aBUu64gqkjU7fQLPCpkSmo0DZj8e4Sj2aRj2R3w7uHL+H45Tqr88Rm\nnJxzKLd9eEo0ZgxIgrbZBMDsb8HtsyyqB4t795/iSizKES8Wx91LV/tgq+B5amHgBvIIlRy3do/m\nLSN/zy/F7Ox06I1sS+htK1wqddvig3/sn+T2DNVns1ofRVvUGYD/CFQ/ntKns5W83sy83S0VIdQG\n9874YglK6pClyHvoUhE8lrlMHC2jcFVq3dX8uaWmhx7Ow7699gpJzkjvlpqEZnutfhWez07kDIt+\nHVnsTxwFwOycyCjCMHvbabdnkVwKcst08JbnObLScNsNLHC+qgmPtlSy5RxJ+3eJ4nOnAMCS23og\nTtUMHDP3Y3R6HHadqcScQV0dzuJc6YOQBclTCwM3kEeq5fjfQ9fwX+VzLb+ntPOt4RC33rg/Qw22\nWa3eyApWPzaHmrfiTR/dLRVBs3sAJgPCKr4EADTF3wHIWj+fzt4NwjkU2isxWJbFwUOFOHI1Bd+f\nT8RzS5eLFspzF8tcJo7Q11V5HEIYFRWFt9ZtQp/5r6NT9l2I6fM7dMq+C33mv4631m2yqq3jLm1Z\nhMvWObHOgQ+H2PnRShYMAyz5qsTK8dL2PNvQYGvnUBZqhVzQkXTijfH8b3BF9WqaWmMtn99zDgXn\na2EysU7DQZ31wXY74Pn15wZyg5FFg1GGPU052NOUAyPkrb41NoiFtDoL/xYiUOGxYog5PKsUMp/1\n0VLmwd074MVx5npBb03KwLCUDj5pI9Rg2GbEnXwYcScfBsM22+139G4QzqHHTEII143ZhLXrNwkW\nynMXSwdTR4zpl4blUzI81vwb9CaEpd6ElNSbbLazXmWN9OcM1+MkcD7oY72II6mtQ+2TOcn4pvgS\nxlgcp5abq/K2xSzOG9kc+suIFIjzxHoj1nYwzWrFltEa9Saf9ZGT+b27M1Fc0chHcLmztMlZCmQN\nkUDY76wsBQThLmQZkQiWzqVC5OfnIy8vzysLyYQJE1w67t7JE73S/DlHSEs4EzuHJwmE/DnDdbct\nTh69kfU6EVakyPUzmFg+sdpLt/dEQqQKU/p25o/hk4gp2mYW5+31j1QAi0f1cPl8T6w3YgTTrJZb\narJELWcQqZJ51Eexd0nOmMsjcIX8gNalTaXceRucpUBVeL+gpYAg3IGSnrlIMCU9c4Q3Sc88qQzs\nCbZVebmwTLFqpu6EMXLRHL728PcmCZytPJaJzDzJaREeEYUDJeV29W++Kq7E4Yu1GNy9A584zWA0\nYIxmPyb17oSoHpOgUSja9ENrm/TMyJr/7aqc4RFRuFpd79Xs3xc5Q3yNO0mmbKNpOIdpywR3ruLs\nXfImeVkoFY4Tg7tvLMui8EA+JutnAADm7bkPY++YjOzsbK+jGAMBJT0jPMbTQnnuwDmYznkoD/v3\n2Sskw3N8k8tEybC4uVOrQ+iJwWcRGRbOl3n3JtTSnx7+riabspWHS2TmqWNtuFppt6wgY4B/7K0D\nAEzIireoWCzH7oYc5P+XwZoebauIAK3XJFIh80ihDFcrEa1kPS6i5ooi662y0tbKjpxh0S8hzCdL\nMs7epWBz3g1GHOVe8sXyOGGGlmkkgqvOpd4WyouKisLmTZvw0potSBw6CTF9foekYZPw0pot2LzJ\nOwdTS5QWA2ucirX6uy0dUQNBW8hju6ygkbcukbAQD9H0F2IfwbauXeKsXU5Zmbv9NPI+KcLc7afx\n07VGl+uIODzfZEDYtZ0Iu7YTMHknqK+WjZw9e54urbEsi0OHDvF/L1221GeO9MGEP5bHCTNkGZEI\nrjqX+iJ7qUIGTL9jJCaNGekTZzmhmaSjBy/UZmu28gzu3gETb4yHiTXXpPHFzNrSCVNv8j5E09vZ\nv78zUjrKPmvZrrcJzhydHyMz+1AALcsWQTC8OnuXPHHebQ+WAu55+vyTLxwuWwNmheTQoUMeW6QJ\nM2QZkQiuOpd6k73UEoVJi6yCLhhQ2A0xMq1Xioi7M9FgC7UEWrNrVt74ttvZNW3DKIenxuCF/5zD\n/E/dn5k7gptNx6rswzZfvtO8tu9KO47umauOxdxH0JLWj6ADPLAuWPa3qtHgsF1vrVRSs9q58i65\nY4VpD5YCy+dpyaoPXDpn586dbdyr0CfwqjvhEv4slOdLxGaSa3+fLHpOsIVaAvAqu6at1WLdkUt2\n2TWFUp57irOwTWeOkGL37L27M3H2umt+IJ5mpGxsrOetC+bKt0rBqsyWFhvL/lpmnxVqV8xSEKky\np+b3rkBc8OHrd8kyS7MYUrcUWD5P+rpWv7MGHcBMFz7H2+VxgiwjkoFzLs3NzYVGDbCbzf9xNWR8\nVSjP14jNJBtdSIQVLKGWvoCTB2xrds3nvi7BC/85h8HJMeaU5z5uzygStunMb0PsnnH1iFzxA7H8\nCL49OQPvTslw6rxqZBkUnm8d/Bd8VmRlNRKz2OiNLN+nwxdrUVBajSW39cCqSfbtClkKVt6ehjPX\nm1yy3kUqYBea/XRuKiLkwetD4ct3yR1Heqli+fwro+JcOscXy+PtHVJGJARXKG/zpk38tunT78O2\nbduwcePGoFynFTPXhwfpTLKtEcuuKZP5XokUq/Rb3+xYERS7ZzqDZ1lnXf0I1huA/9lXavXblsqO\nmMVGJmOs+stln+2gltm1K6QkxUeoBAvEiSltHdQyPDvanM9lyW2pkOu1mDnjftw/YwZ/zObNW3DP\nPfdgxowZqKurcyi3lLB0pOcsBcx0878tkbKlwPL5j70px6VzfLU83p5pn18ECcMXymth+bLlQR3r\nHoz+H4FELLumZcpzTxK+CaFWyKCRm3Bb2D7cFrYPchihljMIUzh+7cXumVgyLl8sURhZBs1GFuOj\nWj92F3f8C+XFx6BtNgKwt9gM7t4BS27rAW2z0a005rZKUoMbfiD1BuDjX8rBGTxYlkXeQ/OwV6DW\nEhAaPhSW+NORPlBYPv9Raf0QmznI4fHBuDwuRdrpJ4HwF2Jr1jJW75Ny61JDrJAbl/Lcm4Rvtqjl\nwIIhCbin9HkAwJiyLzA7uwdUcsfnid0zoG0qkxpZBodKrmHevHloPleIx1siNMoLv0DD91/gsdOf\nY+07qxER1oG/dlxiN8tici6nMbdB40b0lm0Ru6ZzP+L88YMOfz8/Px/79+9H79693bksQcmECROw\nYcMGp8dJ2VJg+fw3GQHD+I14cuHDggpnsC6PSxGyjBBtjqC5vsUhtClhYruqaeHMUuTL/BwaOZAU\n1aroPZWbgi4dVNA4UUYA4Xsm5gcCwCtLTp2exbx581B9ulBw//59ZutChLy1wN+ErHi75S5X05jb\nywosGNrd6p4sGNodQitntstsZcf3utTG9u3bBbf7ygrmCF+2wTnSOyIULAXc85/VJRZd4yKxadNG\nbNu2DTNnzsT48eMxc+bMoF4elyLt5ytAEEGAs+gG3+fnsP0oe5/PxDLrrC8sOd8XFIgqIhz5+fk4\ncvggBg0ZijVTM53mE3GHumYT9rc4vbIAGACfn6rADfHhiFJY/5btMpur0RZXr1612+ZLK5gYvm6D\nc6QXC+8NVUsBwzDIzs6WbISQFCBlhBCEy6vB/bvd01KhFAC08eNRb1R4nBDMURp5XyZ8q9OzePyd\nz1A41Pz3nEcXIarPaGx98l7E+OiWeptEDAD2fbXLpeO4Ugfm35X77DpFKGU4frkOhy/W2vxWV7vf\nsl1mczXaIjEx0W6bL66dMxy1EanwLLEd50h/6NAh7Ny5E9XV1YiJicHEiRMxZMiQkFNECP9Ayggh\njBd5NUIRrkIpABRm/IwX95W3yWzW0/wcttTV1WHOvIdx4vBeoEUZKS/8Aue//wJzT+zAunff9ol5\n2ReWnKpy+wgNISwjNHx1ndz9LdtjO9+ci/KDO5y2MXXqVLtt/shSK9aG3sjip8omjy0mlpYCfxZd\nI0IXUkYkCFktAssr312AzhgGQHg2600qdV8kqeKyZB78bi+fh8aSA9/tRV5entfVlwHfWHI6d3Y/\nQsOXybzc+S3bY8MVmXjk5A7RaBrAvHQxfPhwVFVVWW33R9kDsTZkMqbNrTIE4Q7kwCpF2qnzZ7Dg\nKAzU20JsgPdJqtzJkuktvgjd9rTUgS+TebnzW5bHxqiAt99ejWEjhJ06h40Q96HwR9i7WBtiIebB\nmtaeCH2C8kt26tQp7NixAyUlJaiursaiRYtw6623Wh2zdetWfPvtt9BqtcjIyMDcuXOt1mX1ej02\nbNiAgwcPQq/Xo1+/fpgzZw6io6P9LQ4hcViWxeFDhzC55e9LO1dDmTUKUWn9wDCM1WzWH34AznAn\nS6a3DnmOrAquWojaqtSBt8X+XCUqKgqr39+E+175CGXH8qGvq4IyKhadb87F6r9OQ5SAdQrwT9kD\nsTbqDd4XUyQIXxKUlhGdTofU1FTMmTNHcP+nn36K3bt3Y968eVi5ciXUajVWrFgBg6E1/vH999/H\nsWPH8MQTT2D58uWoqqrCq6++6i8RCGf4sNx6W1JXV4cZM2ZYZdcsO7wLxe88gTPr/gaFodFqNhsM\nhdT8nSVTyKrgjoWIi9AYOVLYujBypPsRGr6wULmDzsAiLPUmpEz+M3r9aRlSJv8ZYak32T0Ltvij\n7IFQG5SMkAg2gvLR69+/P/r37y+6/8svv8TUqVMxYMAAAMCCBQswd+5cFBYWYujQoWhoaEB+fj7+\n8pe/4MYbbwQAzJ8/H4899hjOnj2LXr16+UUOQhxLh9BgKbdui2WFUiHfi9qiI1B89Sr6ztjEf0T8\n4QfgjGDIkumuhSgqKgqbNm3EseM/YcvWrbhadg2JnRMw+a67MDR7MExwrZCdp+17i7NkdsFGUBaj\nJNo1wfcFcMK1a9dQXV2Nvn378ts0Gg1uuOEGFBcXY+jQoSgpKYHRaESfPn34Y7p06YL4+HgUFxeT\nMkK4hCu+F/v3mfNfcMsdvozy8JRgyJLpSaQIwzAYfVsubrm5n9V2sVwZfRLC0SCyDOOo/UiFzOfL\nN76+7/5YYnIUYu5OH69erkK4m1lvg51Qli1YkZwyUl1dDQB2vh/R0dH8vurqaigUCmg0GtFjCCdY\n5NVoir+jXTrKeuJ7EQwzzrbywXAHX1qIhKwc35ypBIuOfIE729BUR+23RaIxX953fyRD8xYp9NFT\nQlm2YCYofUaIwMMto8SdfBgM2+zT32bZ4C23bomnvhf+8ANwBOeDIZa225ssmc5Si3P7tc0mt4rX\nOULIynF7RrzDSrtiPhEyxnfp9m3x1X33ZUmAtsKbPvojBb43SOH6hyKSm+7GxMQAAGpqavh/c3+n\npqbyxxgMBjQ0NFhZR2zPsWX//v0oKCiw2ta5c2fMmjULHTp0CJ6PpckA2eXPzP/sMsljq4VSqURc\nnEgGSUOrk0RsbCygiPCoDVtqa2sxY8YM7N/3NbQtBdE2b96CNeu2YOzYsdi4cSM6dOjgdTsOZXOR\n5ORkl47r3r271225gyuyxcXFYdeuXdi/fz+2b9+Oq1evIjExEVOnTsXw4cM9UkQadXocPHcdK79t\nLU63eFQPZPfoiHC1UnD/07mpmD2oK9QKOTpFhSNc7dhhQ0i2elOtnZWDhXCIdZMR6NHZfP7QyEis\n6xQJbbMRESpz++eu1zs9ry1w53m8erkqIH10B0/76OwZCgakcP29xRfjo6twY83777+PsrIyq33D\nhg3D8OHDAUhQGUlISEBMTAx+/vlnpKSkAAAaGhpw5swZjBs3DgCQlpYGuVyOX375BYMGmcs/X758\nGRUVFUhPTxf97eHDh/MXxpba2lro9XofS+MZjLEBSYX3A2hx/pRrnJwhjKPMiYyxAUkt/66qqgIr\n1wke5w4sy2LGjBmiDqFff/01/vCHP/gkGZcvskKOHj0a77zzjtPjxowZ49cMlO7I1rt3b7tqsbbJ\nt1ylRs/wHxHAPECv/PYc1kxVI1rJCu7/e36pOfW4zIBGbR0atY7bEJItnGHs/DE6R6oEl2HC5LA6\nP1IGRIYBgLn9cDnj0nm+xp17Fqg+uoOnfXT2DAUDUrj+3uLPrLlKpRKdOnXCrFmzHB4XlMs0TU1N\nKC0tRWlpKQCgrKwMpaWlqKioAACMHz8eH3/8MY4ePYoLFy5g1apV6NixIwYOHAjA7NA6atQobNiw\nASdOnEBJSQlWr16NjIwMcl51gbZaRvFnMi5f0F4qlLqKs7DltgprFqoW3DGM8Sg0VQohraHcx2AI\nfXeGFK5/KBKUl7ekpATLly/n//7ggw8AADk5OZg/fz4mTZoEnU6HNWvWQKvVIisrC4sXL4ZC0SrO\nzJkzIZPJ8Nprr0Gv16N///6YPXu232WRGnV1dcjLy8PhA/l2yyicr4GnNU38mYzLF7TXCqViOHNK\nbcuwZqHID08cRoPBwdgZUutjkxEIk8OlPgZD6LszPJWN8A6GDRpHiOCmvLw8KJZpWJZF4YF8TNab\nk3DN23Mfxt4xGdnZ2W5/FG1NdbbLKJwyEvFgq9Nmbm6ux8soc+bMwZdffun0uPHjx2PNmjVu/74l\nvjRDcpainTt3ory8HJ06dQpohdJAFSazjTLgwle5KANn+10hVIuuhapcgHuy+eIZ8Sehet8CsUzj\njKC0jBDCtKXVAnBvGcUTy0UwJOPyBMsKpe0ZZzN2KczoicBCzwghRlD6jBD2WGYDFSI/Px95eXle\n+XW4s4ziCZ4WRAsFgj2c0Rax/joLXw10WDMR/NAzQghBlhGJ0NZWC0A4r4YQntY0CYZkXIEg2JMo\n2Wb71CiAX4K4vwRBhB5kGZEIbW21ANp+GaUtk3EFM8GcREmooNzP15rwzZnKoOwvQRChCVlGJEJb\nWy0A/9Q0iYqKwsaNG4PKIbSt8aROi78QUpT+nl+KJbf1QMH5Wv64YOkvQRChCSkjEsEfzp/+WkZp\nbw6hwRzOKKYo2fbK1f76o8BbINoiCKJtoWUaieAP58/2uozS1gRzEiVOUbJELWf4DKeA6/0VWvL5\n6Vpjmzjr+rMtgiDaHsoz4iKBzjNimQNEDHdzgIjFmgdbXg1PCLb8ANws3hfhjL6UTSzvQ5+EcDS4\n2d8aPYO520/bWYDWTM10OdW3q7L5oi1/EmzPoy8h2aQH5RkhPMaf2UDb2zKKPxDKIBoMOMr74G5/\n/ekbE8x+OARBuA8pIxKiPTp/Em2PrxQlf/rGBLMfDkEQ7kPKiMQgqwURrHC+MbZLPm3hG+PPtgiC\naHvo1SUIwif4M9U3pRUniNCClBGCIHyGP31j/O2Ho2cZ1OkBbbMRkSo5IpWAkpQfgvAJpIwQBEE4\nQc8yOH61Ef+zrzVF/qKcFPRPDCeFhCB8AOUZIQhIr5BdsBKq17FOD14RAcyRO/+z7zzqAhftTxAh\nBVlGiHZPsBeykwqhfB21zUbBUGJtswlxqtBQuAgikJBlhGj3BLKQXShZEvx9Hf157SJUcsFMtREq\nGkL9QSi9J7aEsmzuQJYRot0TqARa7loSuCyuVy9XIVzOBF30iD+vo7+tMFFKYFFOCr9UE6aQ4a8j\nkhGl9HlThA2hbHELZdnchdR6ot0jVp/FnECr7XDHkmBZi+Wh7aeCshaLP6+jv60wSoZF/8RwvD0l\nE6smZWD15AxyXvUTgbRctjWhLJu7kDJCtHsCVcjOkSXBFikMWv68ju5cO1+hZFjEqVh0j2QQp2JJ\nEfETgbjX/iKUZXMXWqYh2j2BSqDlTkpzKdRi8ed1pHTwrXDLd1q9CRFuXHNPz/M3oXyvQ1k2dyHL\nCEGAS6DFIknDIFrJ+mVQdseSEKilJHfx13UMlDXLXTjnxJOXq9rEOdFy+S7vkyKXl+88PS8QuHuv\npeQQKpXn2B8wLMu2L/XLQ8rLy6HXh1ZSgVAtjw1IRzZudurMkmDr6MbVYgk1Rzd37pur1y5Q+MM5\nsUbPYO7203Yz6zVTMxGtFG/D0/OE8Me75ul74u01DybZfIk/x0elUolOnTo5Pa4d6l8EETy4mtLc\ncgmkyQiEyRF0H19/42k6eH8tT4j5+Zg/+L5pw9PlOyks+wnh7C7545r7Gn+XNQhWSBkhCInADVo9\nOkvD6hOM+DOU0h8ffE99DqTkq+DOPZOqkkWQzwhBEO0If0YleePn46rfg6c+B1LyVXDnnknFt4qw\nJwgfPYIIPaQSuRDq+HPmzH3wbf18nH3w3bEEeBrBFKgIMk9w5555es2JwEO3iCDaGMqyGDz4c3nC\nUz8fd/0ePPU5kIqvgjv3TEpKFmEN2a4Ioo2RQsKy9oK/lye4UOesLrEuhzpTIixr3L1ngQjTJ7yH\nLCME0caQU13wIIWZs5ScS/2BFO4Z4T1kGSGINoac6oKLYJ85S8m51F8E+z0jvKcdP94E4R/IqY5w\nB7IEEO0RGg4Joo2hjwvhLlJxLiUIXxHyysju3buxc+dOVFdXIzU1FQ888AB69eoV6G4R7Qz6uBAE\nQYgT0ovWBw4cwMaNGzFt2jS8/PLLSElJwYoVK1BbWxvorhEEQRAE0UJIKyO7du3C6NGjkZOTg65d\nu2Lu3LlQq9XIz88PdNcIgiAIgmghZJURg8GAkpIS9O3bl9/GMAz69u2L4uLiAPaMIAiCIAhLQlYZ\nqaurg8lkQnR0tNX26OhoVFdXB6hXBEEQBEHYEvIOrL5CoQi9S8UwDJTKIK2r7SUkmzQJVdlCVS6A\nZJMi/pTL1W9n6H1hW4iKioJMJkNNTY3V9pqaGsTExAies3//fhQUFFhty8rKwl133YXY2Ng262sg\n6dSpU6C70GaQbNIkVGULVbkAkk2K+NZTW0EAAA8zSURBVFuuHTt24NSpU1bbhg0bhuHDh5v/YEOY\nxYsXs+vWreP/NplM7MMPP8x+9tlnbv2Ou8dLhfXr1we6C20GySZNQlW2UJWLZUk2KRKMcoWszwgA\n3HnnndizZw/27duHS5cuYc2aNdDpdBg5cqRbv2OrzYUKZWVlge5Cm0GySZNQlS1U5QJINikSjHKF\n7DINAAwdOhR1dXX46KOP+KRnzzzzDDp06BDorhEEQRAE0UJIKyMAMG7cOIwbNy7Q3SAIgiAIQoSQ\nXqYhCIIgCCL4kS9btmxZoDshBZKTkwPdhTYhVOUCSDapEqqyhapcAMkmRYJNLoZlWaraRRAEQRBE\nwKBlGoIgCIIgAgopIwRBEARBBBRSRgiCIAiCCCikjBAEQRAEEVBCPs+IEKdOncKOHTtQUlKC6upq\nLFq0CLfeeqvVMVu3bsW3334LrVaLjIwMzJ07F4mJifx+vV6PDRs24ODBg9Dr9ejXrx/mzJljVyXY\n3ziSzWg04v/+7/9w/PhxlJWVQaPRoG/fvpg+fbpV7Z1glM2Ve8bx7rvvYs+ePZg5cybGjx/Pbw9G\nuQDXZPvtt9+wZcsWnDx5EkajEd27d8cTTzyBjh07ApCubE1NTdi8eTOOHj2Kuro6JCQk4I477sCY\nMWP4Y4JRtk8++QSFhYW4fPkyVCoV0tPTMX36dHTp0sXqOCmOI85kk+o44uo945DSOOKqbME8jrRL\ny4hOp0NqairmzJkjuP/TTz/F7t27MW/ePKxcuRJqtRorVqyAwWDgj3n//fdx7NgxPPHEE1i+fDmq\nqqrw6quv+ksEURzJptPpcP78edx99914+eWXsWjRIly5cgUvv/yy1XHBKJuze8ZRWFiIs2fPIi4u\nzm5fMMoFOJft6tWrWLp0Kbp164bly5fj1VdfxdSpU62qbkpVtg0bNuCnn37Co48+in/+85+48847\nsW7dOvzwww/8McEo2+nTp3HHHXdgxYoVePbZZ2E0GrFixQo0Nzfzx0h1HHEmm1THEVfuGYfUxhFX\nZAv6cSTQxXECzbRp09gjR45YbZs3bx67c+dO/m+tVsved999bEFBAf/3H//4R/bw4cP8MZcuXWKn\nTZvGnjlzxj8ddwEh2Ww5e/YsO23aNLaiooJlWWnIJibX9evX2Ycffpi9ePEiO3/+fHbXrl38PinI\nxbLCsr3++uvsW2+9JXqOlGV7/PHH2e3bt1tte+qpp9gPP/yQZVnpyFZTU8NOmzaNPXXqFL8tVMYR\nIdlskeI4IiZXKIwjQrIF+zjSLi0jjrh27Rqqq6vRt29ffptGo8ENN9yA4uJiAEBJSQmMRiP69OnD\nH9OlSxfEx8fzx0gFrVYLhmEQEREBQLqysSyLVatWYdKkSejWrZvdfinLdezYMSQlJWHFihWYO3cu\nnnnmGRw5coQ/RqqyAUBGRgaOHj2KyspKAMAvv/yCK1euoF+/fgCkI1tDQwMAIDIyEkBojSO2sgkh\nxXFESK5QGUdsZZPCOELKiA3V1dUAYLdGFh0dze+rrq6GQqGARqMRPUYK6PV6bNmyBcOHD0dYWBgA\n6cr26aefQqFQ4PbbbxfcL1W5ampq0NTUhM8++ww333wzlixZgoEDB+KVV17hq0lLVTYAePDBB9G1\na1fk5eXhj3/8I1566SXMnj0bmZmZAKQhG8uyeP/995GZmcl/wEJlHBGSzRYpjiNicoXCOCIkmxTG\nkXbpwEqYndBee+01MAzj1A8j2CkpKcGXX35pt2YdCrAtCZIHDhzIO9GlpKSguLgY33zzDbKysgLZ\nPa/54osvcPbsWTz11FOIj4/HqVOn8N577yEuLs5qhhbMrF27Fr/99hteeOGFQHfF5ziTTarjiJBc\noTKOCMkmhXGElBEbYmJiAJg1Se7f3N+pqan8MQaDAQ0NDVZapO05wQo3gFy/fh3PPfccP5sBpCnb\n6dOnUVtbi7y8PH6byWTCBx98gC+++AKrVq2SpFwAEBUVBZlMhq5du1pt79q1K4qKigBI854BQHNz\nMz788EMsWrQIN998MwBzvYxz585h586d6NOnT9DL9t577+HYsWN4/vnnrSJJQmEcEZONQ6rjiJhc\noTCOiMkmhXGElBEbEhISEBMTg59//hkpKSkAzOtvZ86cwbhx4wAAaWlpkMvl+OWXXzBo0CAAwOXL\nl1FRUYH09PSA9d0VuAHk2rVrWLp0qd06sBRlGzFiBG666SarbS+++CJGjBiB3NxcANKUCwAUCgV6\n9eqFy5cvW22/cuUK4uPjAUhXNqPRCKPRCJnMerVYJpPBZDIBCG7Z3nvvPRw9ehTLli3j7wWH1McR\nR7IB0h1HHMkl9XHEkWxSGEfapTLS1NSEq1ev8n+XlZWhtLQUkZGRiI+Px/jx4/Hxxx8jMTERCQkJ\n+PDDD9GxY0cMHDgQgNkRbdSoUdiwYQMiIiIQHh6O9evXIyMjA7169QqUWAAcyxYbG4tXX30VpaWl\nePrpp2EwGPi1wMjISH69MBhlc3bPbAdDuVyOmJgYJCUlAZDuPYuPj8fEiRPxxhtvICsrC71798bx\n48fxww8/YPny5QCkLduNN96IjRs3QqlUIj4+HidPnsR3332HWbNmAQhe2dauXYuCggI8+eSTUKvV\n/Huk0WigUqkAQLLjiDPZjEajJMcRZ3JFRkZKdhxx5XkM9nGkXVbtPXnyJH8DLMnJycH8+fMBAB99\n9BH27NkDrVaLrKwszJ492y5Z0caNG1FQUAC9Xo/+/ftj9uzZAU8y5Ui2e+65BwsWLBA8b+nSpbjx\nxhsBBKdsrtwzSxYsWIDx48fbJSsKNrkA12Tbu3cvPvnkE1RWVqJLly6YNm0aBgwYwB8rVdlqamqw\nZcsW/PTTT6ivr0d8fDzGjBkT9Pft3nvvFdw+f/585OTk8H9LcRxxJlt5ebkkxxFX75klUhlHXJUt\nmMeRdqmMEARBEAQRPFBoL0EQBEEQAYWUEYIgCIIgAgopIwRBEARBBBRSRgiCIAiCCCikjBAEQRAE\nEVBIGSEIgiAIIqCQMkIQBEEQREAhZYQgCIIgiIBCyghBEARBEAGFlBGCICTJm2++iUcffdTjcx94\n4AEf94ggCE8hZYQgCJ9x8OBB3HvvvThy5IjdvkWLFuHee+/FyZMn7fbl5eXh2WefdasthmHAMIxH\n/XT1vKamJvz73//G6dOnPWqHIAjXIGWEIAifkZmZCQB2H+/GxkZcvHgRcrncbt/169dRWVmJrKws\nt9p65JFH8Nprr3nXYSc0NTVh27ZtggoUQRC+QxHoDhAEETrExsYiISHBTuEoLi4Gy7IYMmQIioqK\nrPZxx2ZkZLjVlkxGcymCCBVIGSEIwqdkZGTg4MGD0Ov1UCqVAICioiIkJyfj5ptvxrp166yOP336\nNBiGsVJG9u7di927d+O3336DSqVC//79cf/99yMuLo4/5s0338TZs2fx5ptv8tvq6uqwfv16/PDD\nD5DJZBg0aBBuv/12PP3001i4cCGGDx9u1fb169exdu1anDhxAiqVCrm5uZg+fToA4OrVq/jzn/8M\nANi6dSu2bt0KwFyufcqUKT68YgRB0NSCIAifkpmZCYPBgDNnzvDbioqKkJ6ejvT0dDQ0NODChQv8\nvuLiYnTt2hWRkZEAgH//+99YvXo1unbtipkzZ2L8+PH48ccfsWzZMjQ1NfHn2fqMmEwmrFy5EgcP\nHkRubi7+8Ic/4Pr161i9erVgPw0GA1588UXExsbiT3/6E7KysrBjxw58++23AICYmBjMnj0bADBk\nyBAsXLgQCxcuxKBBg3x3sQiCAEDKCEEQPsbWb8RkMuHMmTPIzMxE586dER0dze9ramrChQsXeKvI\n1atXsX37dtx///1YuHAhxowZg7vvvhtLly5FeXk5vv76a9F2Dx06hJKSEjzwwAOYNWsWxo0bhyVL\nliAiIkLw+ObmZowcORLz5s3D6NGj8cQTTyA5OZlXRsLCwnjFIyUlBcOHD8fw4cPRrVs331wogiB4\nSBkhCMKndOvWDZGRkbxvSGlpKXQ6Ha9wpKen8/uKiopgMpl459XCwkIwDIPBgwejrq6O/y8mJgYJ\nCQk4ceKEaLs//vgjlEolRo0aZbV97NixoueMHj3a6u/MzEyUlZW5LzRBEF5BPiMEQficjIwMnDp1\nCoDZQhIdHY2EhAR+31dffQUAvFJiaRkxmUxYuHCh4O9qNBrRNisqKhAXFweFwnpYS0xMFDw+LCzM\nzmoSEREBrVbrTDyCIHwMKSMEQficzMxM/PDDD7hw4QKKi4uRnp7O78vIyMCmTZtQVVWFoqIixMXF\n8YqKyWSCTCbDM888I/i7YWFhPuujWDQOy7I+a4MgCNcgZYQgCJ/D+Y2cOnUKRUVFuPPOO/l9aWlp\nUCqVOHHiBM6cOYNbbrmF35eYmAiTyYSEhAReQXGV+Ph4FBUVwWAwWFlHrly54rEcniZVIwjCPchn\nhCAIn8MpHPv370dlZaWVZUShUKBHjx746quvoNPpeMUFAAYPHgyGYbBt2zbB362vrxdts1+/ftDr\n9bwDKmC2cjhyenWGWq0GADQ0NHj8GwRBOIcsIwRB+ByFQoGePXvi9OnTUCqVSEtLs9qfnp6Ozz//\nHACslJGkpCRMmzYNW7duRVlZGQYMGICwsDBcu3YNhYWFuP322zF+/HjBNocMGYKdO3di/fr1uHz5\nMpKSknDkyBE0NjZ6LEdYWBiSkpJQUFCAhIQEREZGIjk5mSJqCMLHkGWEIIg2gVMyevbsaedUyjms\najQapKSkWO2bMmUKHn/8cQDA9u3bsXnzZvz3v//FLbfcggEDBoi2J5PJ8Le//Q3Z2dnIz8/H1q1b\nER8fj1mzZgEAVCqV1fFiSzC22/Py8hATE4MNGzbgjTfeQGFhoRPJCYJwF4Ylby2CIEKYQ4cO4fXX\nX8eKFSvQq1evQHeHIAgByDJCEETI0NzcbPW3yWTC7t27ERERgdTU1MB0iiAIp5DPCEEQIcPatWth\nMpnQq1cv6PV6HDp0CGfPnsWMGTPslooIgggeaJmGIIiQ4fvvv8euXbtQVlaG5uZmJCUlYdy4cRgz\nZkygu0YQhANIGSEIgiAIIqCQzwhBEARBEAGFlBGCIAiCIAIKKSMEQRAEQQQUUkYIgiAIgggopIwQ\nBEEQBBFQSBkhCIIgCCKgkDJCEARBEERAIWWEIAiCIIiAQsoIQRAEQRAB5f8BeE7xH8AR6SoAAAAA\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f579fb73c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.loc[df['Gender']==1][['Weight','Back Squat']].plot(kind='scatter', x='Weight', y='Back Squat');\n",
    "for row in df_squat_m.iterrows():\n",
    "    plt.plot   (  np.repeat(row[0], len(row[1])),  row[1], linestyle='--', linewidth=1.5, color='orange');\n",
    "    plt.scatter(x=np.repeat(row[0], len(row[1])),y=row[1], marker='o', linewidths=3, color='black');\n",
    "plt.xlim([100,270]);\n",
    "plt.ylim([0,700]);\n",
    "plt.suptitle('Athlete Performance vs. Starting Strength Standard');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Categories referred to in the Starting Strength tables can alternatively be referred to in qualitative terms that refer to the athlete's proficiency; for example, <a href=\"http://www.exrx.net/Testing/WeightLifting/SquatStandards.html\">ExRx.net</a> refers to these categories as Untrained, Novice, Intermediate, Advanced, and Elite. It's very interesting to note that the majority of these athletes fall into the two buckets between Intermediate-Advanced and Advanced-Elite, and that there are very few datapoints around Untrained-Novice bucket. Rather than suggesting that the Standards may be inconsistent with reality, an alternate explanation is that anyone competing in the CrossFit Open is already at least at the Novice level, and that generally the competition appeals to the more advanced athlete."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Machine Learning with the CrossFit Games Data\n",
    "\n",
    "We'll now use some machine learning tools to explore the data further. There are two fundamental questions we want to look at:\n",
    "1. Can an athlete's attributes be used to predict their performance in the CrossFit Games?\n",
    "2. Can we reverse-engineer the ideal CrossFit athlete?\n",
    "\n",
    "Before beginning, we have the issue of data sparsity. The scikit-learn library does not support NaN values, and thus our missing values need to be filled with some method in order to use any learning algorithms. It's worth noting that missing values account for more than half the data set:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of data points: 479725\n",
      "Number of missing points: 610051\n",
      "Number of athletes with complete data: 1489\n"
     ]
    }
   ],
   "source": [
    "atts = df.loc[:,attributes + ['Age','Gender']].copy()\n",
    "print(\"Number of data points:\", sum(atts.count()))\n",
    "print(\"Number of missing points:\", np.isnan(atts).sum().sum())\n",
    "print(\"Number of athletes with complete data:\", len(atts.dropna()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The simplest approach is to simply drop any row that is missing a value, which reduces our number of athlete instances to just 2% of the original. We can check what effect this has on our distributions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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7n3nmGYSGhuKDDz7QSe6A6nXDt2zZAhsbGwDVo48LFizAd999hxEjRmjrXb16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\ncBBIRERERETkQP4ffUd13/9xH44AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f57a0d01c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(4, 1, figsize=(10, 10));\n",
    "plt.subplots_adjust(wspace=0.5, hspace=0.5);\n",
    "keys = ['Age','Back Squat','Fran','Run 5k']\n",
    "for i,var in enumerate(keys):\n",
    "    atts.loc[atts['Gender'] == 1][var].plot(kind='hist', ax=axes[i],  alpha=1, legend=True, sharex=False, sharey=False, normed=1, bins=50, label='Sparse', title=var);\n",
    "    atts.dropna().loc[atts['Gender'] == 1][var].plot(kind='hist', ax=axes[i], alpha=0.5, legend=True, sharex=False, sharey=False, normed=1, bins=50, label='Sparse Dropped');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "While not a perfect match, the above histograms show that the dataset that drops rows containing missing values is a reasonable approximation of the entire dataset, and so calibration on the reduced but complete dataset can still be meaningful."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a>http://scikit-learn.org/stable/modules/preprocessing.html#imputation-of-missing-values</a>\n",
    "\n",
    "Alternatively, we can compare this approach with backfilling the missing data. The python Imputer infers the missing data from the known data, using either mean, median, or most frequent value of those available. We'll use a manual process for this that allows us to infer the mean statistics having grouped by Age and Gender:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of missing points: 0\n"
     ]
    }
   ],
   "source": [
    "imp_atts = df.loc[:,attributes + ['Age', 'Gender']].copy()\n",
    "for key in attributes + ['Age', 'Gender']:\n",
    "    imp_atts[key].fillna(imp_atts.groupby(['Age','Gender'])[key].transform(\"mean\"), inplace=True)\n",
    "    imp_atts[key].fillna(imp_atts[key].mean(), inplace=True)\n",
    "\n",
    "print(\"Number of missing points:\", np.isnan(imp_atts).sum().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ffvkl2tvbUVZWhubmZqxcuRI5OTmoqamBvb09vLy8kJiYiFtvvVXoo6CgAG+88QYKCgrQ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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f57a10b79b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(4, 1, figsize=(10, 10));\n",
    "plt.subplots_adjust(wspace=0.5, hspace=0.5);\n",
    "keys = ['Age','Back Squat','Fran','Run 5k']\n",
    "for i,var in enumerate(keys):\n",
    "    atts.loc[atts['Gender'] == 1][var].plot(kind='hist', ax=axes[i],  alpha=1, legend=True, sharex=False, sharey=False, normed=1, bins=50, label='Sparse', title=var);\n",
    "    imp_atts.loc[imp_atts['Gender'] == 1][var].plot(kind='hist', ax=axes[i], alpha=0.5, legend=True, sharex=False, sharey=False, normed=1, bins=50, label='Imputed');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"background-color: #FFFF00\">TODO: Imputing values to mean: results in distribution distortion - this approach won't work. Follow-up.</span>\n",
    "\n",
    "<span style=\"background-color: #FFFF00\">TODO: data needs to be scaled/standardized, since some algorithms (e.g. neural nets) are sensitive to feature scaling.</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Principal Component Analysis to Reduce the Feature Space\n",
    "\n",
    "<a>http://scikit-learn.org/stable/modules/feature_selection.html</a>\n",
    "\n",
    "From the correlation analysis of the athlete attributes, we saw that the data supports reducing the feature space considerably. The four weightlifting attributes can likely be reduced to one, and Fran, Grace, Helen, and Filthy 50 can likely be reduced as well. Starting with 15 attributes, ...\n",
    "\n",
    "<span style=\"background-color: #FFFF00\">TODO: Finish this.</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ -8.15369011e-02,  -6.60759112e-02,  -8.49770916e-02,\n",
       "         -1.17279011e-01,   8.84500548e-01,   1.91710779e-01,\n",
       "          1.18243544e-01,  -5.97027330e-04,   1.91517534e-01,\n",
       "         -2.38019869e-02,   3.06685210e-01,  -5.77894965e-02,\n",
       "          1.61901127e-02,  -1.70396961e-03,   5.30405963e-03],\n",
       "       [ -1.18622027e-01,  -7.85977223e-02,  -1.58797383e-01,\n",
       "         -4.66135547e-02,  -3.91505305e-01,   5.29632711e-02,\n",
       "          2.56725595e-03,  -7.03798097e-03,   1.52194405e-01,\n",
       "         -1.51629139e-02,   8.75725110e-01,  -5.87069159e-02,\n",
       "          2.78347939e-02,  -4.14090166e-02,   8.00988045e-04],\n",
       "       [  4.54829561e-01,   3.05623450e-01,   4.82510494e-01,\n",
       "          1.40149918e-01,   1.72576980e-01,  -2.97577980e-01,\n",
       "         -3.57705844e-01,   9.52356254e-03,  -1.19108589e-01,\n",
       "          2.88306806e-02,   3.24972287e-01,   2.46624177e-01,\n",
       "         -1.28958208e-02,   1.38572726e-01,  -8.31418943e-03],\n",
       "       [ -2.78752917e-01,  -1.45901940e-01,  -3.92540478e-01,\n",
       "          9.64953958e-02,   1.78825769e-01,  -5.06733748e-01,\n",
       "         -3.34975923e-01,  -1.41759948e-02,  -5.46799482e-01,\n",
       "          2.12665749e-02,   7.63970463e-02,  -9.95114130e-02,\n",
       "          5.53481609e-04,  -1.45576971e-01,  -8.27887403e-03],\n",
       "       [ -1.27269646e-01,  -2.64821369e-02,  -1.48360551e-01,\n",
       "          9.03117285e-02,  -4.37973868e-03,   1.97961363e-02,\n",
       "         -7.40633035e-01,  -3.83457733e-03,   6.14743171e-01,\n",
       "         -3.37985357e-02,  -1.53216073e-01,  -3.08187592e-02,\n",
       "          1.38498595e-02,  -1.20929432e-02,  -1.25092329e-02]])"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "pca = PCA(n_components=5)\n",
    "pca.fit(atts.dropna())\n",
    "pca.components_ "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multi-Layer Perceptron Regression\n",
    "\n",
    "<a>http://scikit-learn.org/stable/modules/neural_networks_supervised.html</a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Random Forest Regression\n",
    "\n",
    "<a>http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html</a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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  "anaconda-cloud": {},
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   "language": "python",
   "name": "conda-root-py"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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