LessonM45_matplotlib.ipynb

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    "[![Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PyGIS222/Fall2019/blob/master/LessonM45_matplotlib.ipynb)"
   ]
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   "cell_type": "markdown",
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   "source": [
    "## Notebook Lesson 4.5\n",
    "\n",
    "# Matplotlib\n",
    "\n",
    "This Jupyter Notebook is part of Module 4 of the course GIS222 (Fall2019). This lesson discusses the Python Module matplotlib. Carefully study the content of this Notebook and use the chance to reflect the material through the interactive examples.\n",
    "\n",
    "### Sources\n",
    "This notebook is an adapted version of [Lessons 7 of the Geo-Python 2018](https://geo-python.github.io/site/2018/lessons/L7/overview.html), which is licensed under a Creative Commons Attribution-ShareAlike 4.0 International licence. \n",
    "\n",
    "---\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prelude\n",
    "\n",
    "## Anatomy of a plot\n",
    "\n",
    "Before starting to do plotting it is useful if we take a look and try to understand what actually is a plot? We won’t go too deep into the details of different plots (as it is not the purpose of this lesson) but we rather give a short introduction to different plots that can be done with Python, and what kind of (typical) elements a plot has.\n",
    "\n",
    "There are a variety of different kinds of plots (also known as graphs, charts, diagrams, etc. - Our dear child has many names) available that have been designed to visually represent the characteristics of a dataset. Here is a list of several different types of plots that can be used to visualize different kinds of datasets:\n",
    "\n",
    "* [Bar chart](https://en.wikipedia.org/wiki/Bar_chart)\n",
    "* [Histogram](https://en.wikipedia.org/wiki/Histogram)\n",
    "* [Scatter plot](https://en.wikipedia.org/wiki/Scatter_plot)\n",
    "* [Line chart](https://en.wikipedia.org/wiki/Line_chart)\n",
    "* [Pie chart](https://en.wikipedia.org/wiki/Pie_chart)\n",
    "* [Box plot](https://en.wikipedia.org/wiki/Box_plot)\n",
    "* [Violin plot](https://en.wikipedia.org/wiki/Violin_plot)\n",
    "* [Dendrogram](https://en.wikipedia.org/wiki/Dendrogram)\n",
    "* [Chord diagram](https://en.wikipedia.org/wiki/Chord_diagram)\n",
    "* [Treemap](https://en.wikipedia.org/wiki/Treemap)\n",
    "* [Network chart](https://en.wikipedia.org/wiki/Network_chart)\n",
    "\n",
    "In spite of the variety of plots, there are certain elements that are common in most of the plots (not all). Thus, it is useful to know at least the basic terminology since it makes it easier to find help and information from the internet when you start doing or modifying your own plot.\n",
    "\n",
    "The following figure illustrates different elements of a basic line plot.\n",
    "\n",
    "<img src=\"./img/M45_basic-elements-of-plot.png\" title=\"Basic elements of a plot.\" width=\"700\" />\n",
    "\n",
    "Figure 1: *Basic elements of a plot.*\n",
    "\n",
    "\n",
    "## Common terms when doing plotting\n",
    "\n",
    "These common terms may vary a little bit depending on the plotting library that you use. These are few typical terms used when doing plotting in Matplotlib, for example.\n",
    "\n",
    "* **axis** - Axis of the graph that are typically x, y and z (for 3D plots).\n",
    "* **title** - Title of the whole plot.\n",
    "* **label** - Name for to the whole axis.\n",
    "* **legend** - Legend for the plot.\n",
    "* **tick label** - Refers to the text or values that are represented on the axis.\n",
    "* **symbol** - Symbol for data point(s) (on a scatter plot) that can be presented with different symbols.\n",
    "* **size** - Size of e.g. a point on a scatter plot, also used for referring to the text sizes on a plot.\n",
    "* **linestyle** - The style how the line should be drawn. Can be e.g. solid or dashed.\n",
    "* **linewidth** - The width of a line in a plot.\n",
    "* **alpha** - Transparency level of a filled element in a plot (values between 0.0 (fully transparent) to 1.0 (no trasnparency)).\n",
    "* **tick(s)** - Refers to the tick marks on a plot.\n",
    "* **annotation** - Refers to the added text on a plot.\n",
    "* **padding** - The distance between a (axis/tick) label and the axis.\n",
    "\n",
    "\n",
    "## Plotting in Python\n",
    "\n",
    "Python has many nice and useful modules that can be used for plotting, such as.\n",
    "\n",
    "* [Matplotlib](http://matplotlib.org/) - “the grand old man of Python plotting” ([Matplotlib gallery](http://matplotlib.org/gallery.html))\n",
    "* [Seaborn](https://seaborn.github.io/) - High-level interface for drawing attractive statistical graphics that is built on top of Matplotlib ([Seaborn gallery](https://seaborn.github.io/examples/index.html))\n",
    "* [Bokeh](http://bokeh.pydata.org/en/latest/) - Modern plotting library for static / interactive web-based plots such as graphs, maps, charts etc. ([Bokeh gallery](http://bokeh.pydata.org/en/latest/docs/gallery.html))\n",
    "* [Plotly](https://plot.ly/python/) - Modern plotting library for static / interactive web-based plots such as graphs, maps, charts etc. Some features are commercial. ([Plotly gallery](https://plot.ly/python/#basic-charts))\n",
    "* [Dash](https://plot.ly/products/dash/) - Dash is a Python framework for building analytical web applications. No JavaScript required.\n",
    "* [ggplot](http://yhat.github.io/ggpy/) - Familiar with doing plots in R using ggplot2? You can use ggplot in Python too! ([ggplot examples](http://yhat.github.io/ggpy/))\n",
    "* [HoloViews](http://holoviews.org/) and, building on that, [GeoViews](http://geoviews.org/): Let the data visualize itself! \n",
    "These are modern and powerful visualization libraries built on top of Matplotlib and Bokeh that makes exploring and visualizing your data quicker than ever before (see this [HoloViews introductory video](https://www.youtube.com/watch?v=hNsR2H7Lrg0)). <br>\n",
    "    * HoloViews is designed for basic plotting ([HoloViews tutorial](http://holoviews.org/Tutorials/index.html) and [HoloViews examples](http://holoviews.org/Examples/index.html))\n",
    "    * GeoViews is designed for creating nice and interactive maps ([GeoViews gallery](http://geoviews.org/gallery/index.html))\n",
    "\n",
    "As you can see from the examples, the plotting possibilities in Python are numerous and rich. Do you need to know them all? Of course not. Not even we do. It is not even rational for trying to use them all, instead you should start by learning to use one of them that suits your needs and then later extend your knowledge and skills to other visualizing libraries when necessary. In this notebook courses, we will be start our plotting experiments with Matplotlib that makes it possible to store and show our interactive plots in the web. \n",
    "\n",
    "Besides Matplotlib, all others are third-party Python packages that have to be installed separately and they will not be available on the JupyterHub. However, they are all open source. So once you are more experienced in writing your own Python programs, it will be worth to check some of them out."
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# A. Plotting with Matplotlib\n",
    "\n",
    "Though there are so many options for plotting data in Python, we will be using [Matplotlib](https://matplotlib.org/).\n",
    "In particular, we will be using the `pyplot` module in Matplotlib, which provides MATLAB-like plotting.\n",
    "The reason for this is simple: Matplotlib is the most common module used for plotting in Python and many examples of plotting you may find online will be using Matplotlib."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Our dataset\n",
    "\n",
    "For our first lesson plotting data using Matplotlib we will again be using the weather data file, which we have also used during the previous notebook on NumPy.\n",
    "\n",
    "- The data file (`Kumpula-June-2016-w-metadata.txt`) is in the directory `assignments_M4b/data` in your JupyterHub (home folder).\n",
    "- It contains observed daily mean, minimum, and maximum temperatures from June 2016 recorded from the Kumpula weather observation station in Helsinki. It is derived from a data file of daily temperature measurments downloaded from the [US National Oceanographic and Atmospheric Administration’s National Centers for Environmental Information climate database](https://www.ncdc.noaa.gov/cdo-web/).\n",
    "\n",
    "## Getting started\n",
    "\n",
    "Let's start by importing the pyplot submodule of Matplotlib."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note again that we are renaming the Matplotlib pyplot submodule when we import it.\n",
    "Perhaps now it is more clear why you might want to rename a module on import.\n",
    "Having to type `matplotlib.pyplot` every time you use one of its methods would be a pain. Instead, this way, we will be using an acronym `plt`. This acronym is applied very common for `matplotlib.pyplot` in the Python community. But of course, in your own programs you can define any other.\n",
    "\n",
    "### Loading the data with NumPy\n",
    "\n",
    "Now, let's again load the data using NumPy. To start, we will need to import NumPy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can read in the data file in the same way we have for Lesson 5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "fp = './data/Kumpula-June-2016-w-metadata.txt'\n",
    "data = np.genfromtxt(fp, skip_header=9, delimiter=',')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you may recall, we will now have a data variable of the name `data` with 4 columns.\n",
    "Let's rename each of those below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "date = data[:, 0]\n",
    "temp = data[:, 1]\n",
    "temp_max = data[:, 2]\n",
    "temp_min = data[:, 3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Our first plot\n",
    "\n",
    "OK, so let’s get to plotting! We can start by using the Matplotlib plt.plot() function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11e0ae7d0>]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = date\n",
    "y = temp\n",
    "plt.plot(x, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If all goes well, you should see the plot above.\n",
    "\n",
    "OK, so what happened here?\n",
    "Well, first we assigned the values we would like to plot, the year and temperature, to the variables `x` and `y`.\n",
    "This isn’t necessary, *per se*, but does make it easier to see what is plotted.\n",
    "Next, it is perhaps pretty obvious that `plt.plot()` is a function in pyplot that produces a simple *x*-*y* plot.\n",
    "Conveniently, plots are automatically displayed in Jupyter notebooks (thanks to the IPython kernel!), so there is no need for the additional `plt.show()` function you might see in examples you can find online."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic plot formatting\n",
    "\n",
    "We can make our plot look a bit nicer and provide more information by using a few additional pyplot options."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Temperature [°F]')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, y, 'ro--')\n",
    "plt.title('Kumpula temperatures in June 2016')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Temperature [°F]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This should produce the plot above.\n",
    "\n",
    "Now we see our temperature data as a red dashed line with circles showing the data points.\n",
    "This comes from the additional `ro--` used with `plt.plot()`.\n",
    "In this case, `r` tells the `plt.plot()` function to use red color, `o` tells it to show circles at the points, and `--` says to use a dashed line.\n",
    "You can use `help(plt.plot)` to find out more about formatting plots.\n",
    "Better yet, check out the [documentation for `plt.plot()` online](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html).\n",
    "We have also added a title and axis labels, but their use is straightforward."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Embiggening\\* the plot\n",
    "\n",
    "While the plot sizes we're working with are OK, it would be nice to have them displayed a bit larger.\n",
    "Fortunately, there is an easy way to make the plots larger in Jupyter notebooks.\n",
    "To set the default plot size to be larger, simply run the Python cell below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = [12, 6]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The cell above sets the default plot size to be 12 inches wide by 6 inches tall.\n",
    "Feel free to change these values if you prefer.\n",
    "\n",
    "To test whether this is working as expected, simply re-run one of the earlier cells that generated a plot.\n",
    "\n",
    "\\* To *[embiggen](https://en.oxforddictionaries.com/definition/embiggen)* means to enlarge.\n",
    "It's a perfectly [cromulent](https://en.oxforddictionaries.com/definition/cromulent) word."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding text labels to a plot\n",
    "\n",
    "Adding text to plots can be done using `plt.text()`.\n",
    "\n",
    "```python\n",
    "plt.text(20160604.0, 68.0, 'High temperature in early June')\n",
    "```\n",
    "\n",
    "This will display the text \"High temperature in early June\" at the location `x = 20160604.0` (i.e., June 4, 2016), `y = 68.0` on the plot.\n",
    "We'll see how to do this in a live example in just a second.\n",
    "With our approach to plotting thus far, the commands related to an individual plot should all be in the same Python cell."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Changing the axis ranges\n",
    "\n",
    "Changing the plot axes can be done using the `plt.axis()` function.\n",
    "\n",
    "```python\n",
    "plt.axis([20160601, 20160615, 55.0, 70.0])\n",
    "```\n",
    "\n",
    "The format for `plt.axis()` is `[xmin, xmax, ymin, ymax]` enclosed in square brackets (i.e., a Python list).\n",
    "Here, the *x* range would be changed to the equivalents of June 1, 2016 to June 15, 2016 and the *y* range would be 55.0-70.0.\n",
    "The complete set of commands to plot would thus be:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[20160601, 20160615, 55.0, 70.0]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, y, 'ro--')\n",
    "plt.title('Kumpula temperatures in June 2016')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Temperature [°F]')\n",
    "plt.text(20160604.0, 68.0, 'High temperature in early June')\n",
    "plt.axis([20160601, 20160615, 55.0, 70.0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bar plots in Matplotlib\n",
    "\n",
    "In addition to line plots, there are many other options for plotting in Matplotlib.\n",
    "Bar plots are one option, which can be used quite similarly to line plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[20160601, 20160615, 55.0, 70.0]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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PPPEEG2200bA1jrT26dOn82//9m9cc801HHnkkXz4wx9epP4lSS8uPb17RpKJwAnAhkAB7wMeB44DlgOeBj5cVVf2sg6Nby996UufM/p4yimnLBhZne+hhx7i0UcfZauttgLgne98J9/+9rcXrN9hhx1YeeWVAdhggw341a9+xVprrTXkPi+//HJuvvlmtt56awCefPJJpk6dumD9brvtBsDrXvc65s6dy4orrsiKK67Icsstt2A+8Otf/3rWWWcdAN7xjndw6aWXstxyyw3b79ve9rYFr2+88UY+/elP89BDDzF37lx22mmnbk/ZAjvuuCMvf/nLgc4I90UXXcQmm2wCwNy5c7njjjvYdttth2y/9tprM3nyZAA222wzZs2a9bxtvv/97z9nusgjjzzCo48+ysMPP8zee+/NHXfcQRKeeuqpQesaaK+99uKLX/wiRxxxBCeddBL77LPPiI95uNrnzp3Lz3/+c/baa68F2z3xxBOLvA9J0otHr285dxRwYVXtmWQZYHngG8Dnq+q7Sd4MfAXYrsd1SMOqqmHXL7vssgteL7300q1zaauKHXfcka9//evD9rfUUks9p++lllpqQd9JntMmSWu/K6ywwoLX++yzD9/85jfZeOONOeWUU7jkkksGbTNhwoQFUz9+//vfD9lfVXHYYYfxwQ9+cNB+BrPweRtsesazzz7LZZddxktf+tLnLD/wwAPZfvvtOe+885g1axbbbbfdoHUNtPzyy7Pjjjty/vnn841vfON5fxwtbOCxw3OPf7Dan332WSZOnPicP8IkSeNDz6ZnJFkJ2BY4EaCqnqyqh+iMOK/UbLYycG+vapC6tcoqq7Diiity+eWXA/C///u/I+5jxRVX5NFHHwVgyy235Gc/+xm/+MUvAJg3bx633377iPq78sor+eUvf8mzzz7LmWeeyRve8IYR9fvoo4+yxhpr8NRTT3H66acPWid05iBfc801AJx99tlD1rPTTjtx0kknLZhDfc8993D//feP6JgGM23aNI455pgF7+cH0ocffphXvvKVAAumXHRjv/3246CDDmLzzTcfdDR6oEmTJjFjxgwAZsyYwS9/+ctht19ppZVYe+21Oeuss4DOHxLXXXdd17VJkl68ejmneR3gAeDkJNcmOSHJCsDfAkckuRs4EjhssMZJpie5OsnVDzzwQA/LlDpOPPFEpk+fztSpU6mqBdMxujV9+nT+8i//ku23357VVluNU045hXe84x1stNFGbLnlliO+YGzq1KkceuihbLjhhqy99tq85S1vGVG/X/ziF9liiy3YcccdWX/99Rcsf/vb384RRxzBJptswp133snHPvYxjj32WLbaaivmzJkzZD3Tpk3jne98J1OnTuV1r3sde+6553PC96I6+uijufrqq9loo43YYIMNFlwMecghh3DYYYex9dZbD3s3kIVtttlmrLTSSuy7776Drn/66acXjCLvsccePPjgg0yePJljjz2W9dZbr7X/008/nRNPPJGNN96Y1772tZx//vld1yZJevFK28fSi9xxMgW4HNi6qq5IchTwCJ3R5R9X1TlJ3gpMr6o3DdfXlClTqu1jVv2BTwRcNHPnzl1wT+fDDz+c++67j6OOOqovtVxyySUceeSRz5lXre7ce++9bLfddtx6660stdTzxwWOOuoo7rnnHr7yla/0oTpJ0liX5JqqmrLw8l6ONM8GZlfVFc37s4FNgb2Bc5tlZwGv72ENUtcuuOACJk+ezIYbbshPf/pTPv3pT/e7JI3QaaedxhZbbMGXv/zlQQPz+9//fs444wwOOOCAPlQnSXox69lIM0CSnwL7VdVtST4HrADsCnyoqi5JsgPwlarabLh+HGkeGUeaJUmSFs1QI829vnvGgcDpzZ0z7gL2Bc4HjkoyAfg9ML3HNUiSJEkvSE9Dc1XNBBZO6pcCw44sS5IkSWOJTwSUJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBY9Dc1JJiY5O8mtSW5JMrVZfmCS25LclOQrvaxBkiRJeqEm9Lj/o4ALq2rPJMsAyyfZHtgd2Kiqnkiyeo9rkCRJkl6QnoXmJCsB2wL7AFTVk8CTST4EHF5VTzTL7+9VDZIkSdLi0MvpGesADwAnJ7k2yQlJVgDWA7ZJckWSHyfZvIc1SJIkSS9YL0PzBGBT4Niq2gR4DDi0Wb4KsCXwceAbSbJw4yTTk1yd5OoHHnigh2VKkiRJw+tlaJ4NzK6qK5r3Z9MJ0bOBc6vjSuBZYNWFG1fV8VU1paqmrLbaaj0sU5IkSRpez0JzVf0GuDvJq5tFOwA3A98E3giQZD1gGWBOr+qQJEmSXqhe3z3jQOD05s4ZdwH70pmmcVKSG4Engb2rqnpchyRJkrTIehqaq2omMGWQVe/u5X4Xh0mHXtDvEgY16/Bd+l2CJEnSuOMTASVJkqQWhmZJkiSphaFZkiRJamFoliRJkloYmiVJkqQWvb7l3GJxwz0PL7a7WXj3CUmSJI2UI82SJElSC0OzJEmS1MLQLEmSJLUwNEuSJEktDM2SJElSC0OzJEmS1MLQLEmSJLUwNEuSJEktDM2SJElSC0OzJEmS1MLQLEmSJLUwNEuSJEktDM2SJElSC0OzJEmS1MLQLEmSJLUwNEuSJEktDM2SJElSC0OzJEmS1MLQLEmSJLUwNEuSJEktDM2SJElSC0OzJEmS1MLQLEmSJLUwNEuSJEktJgy1IsmDLW0D3FdVGyzekiRJkqSxZcjQDPwKmDLM+gBXLd5yJEmSpLFnuND8tqp6ZrjGSd62mOuRJEmSxpzh5jSv3Na4qm5fjLVIkiRJY9Jwofk/579Icuko1CJJkiSNScOF5gx4vcKidJ5kYpKzk9ya5JYkUwes+1iSSrLqovQtSZIkjZbh5jQvlWRFOsF6/usFQbqqHumi/6OAC6tqzyTLAMsDJFkL2BH49SJXLkmSJI2S4ULzHwE38YegfDNQzfsC/nS4jpOsBGwL7ANQVU8CTzar/xU4BDh/EeuWJEmSRs2Qobmq1nyBfa8DPACcnGRj4BrgYGAH4J6qui7JkI2TTAemAyy90movsBRJkiRp0Q37RMAkyyZZbhH7ngBsChxbVZsAjwGfAz4FfKatcVUdX1VTqmrK0su33shDkiRJ6pkhQ3OSA4DTgFOSHLQIfc8GZlfVFc37s+mE6LWB65LMAtYEZiT5k0XoX5IkSRoVw81pfh+dJwKGztSKo0fScVX9JsndSV5dVbfRmZYxo6p2mL9NE5ynVNWcEVcuSZIkjZLhQvO/AOc2r0cUmAc4EDi9uXPGXcC+i9iPJEmS1DfDXQh4BnDGC+m8qmbSGa0eav2kF9K/JEmSNBqGvRBQkiRJ0vAXAl7Z1ribbSRJkqQXu+HmNL8uyYxh1ofOA1AkSZKkJdpwoXnDLto/vbgKkSRJksaq4S4EvHM0C5EkSZLGKi8ElCRJkloYmiVJkqQWw81pXiDJmsC6VfWjJMsCE6rqsd6WJkmSJA1v0qEXjMp+Wkeak7wP+BZwQrPoz4Dze1mUJEmSNJZ0Mz3jIGBL4BGAqrodWL2XRUmSJEljSTeh+fdV9eT8N0mWpnOPZkmSJGlc6CY0/yzJIcBySbYHzgS+3duyJEmSpLGjm9B8CPAocCtwMPAD4FO9LEqSJEkaS4a9e0YzFeOkqtobOHZ0SpIkSZLGlmFHmqvqGWCNJC8ZpXokSZKkMaeb+zTfBfw0yfnAgnszV9XRPatKkiRJGkO6Cc0PABcDyzdfkiRJ0rjSGpqr6h9GoxBJkiRprGoNzUkuBmrh5VU1rScVSZIkSWNMN9MzPj3g9XLAHsATvSlHkiRJGnu6mZ5xxUKLfpzkxz2qR5IkSRpzupmesdKAt0sBmwFr9KwiSZIkaYzpZnrGTXTmNAd4Gvgl8IFeFiVJkiSNJd2E5nWq6qmBC5J0006SJElaIgz7RMDGwnOaAa5c3IVIkiRJY9WQI8ZJVqczd/mlSV5HZ3oGwEr4kBNJkiSNI8NNs9gFeB+wJvAfA5Y/CvjAE0mSJI0bQ4bmqjoZODnJW6vqG6NYkyRJkjSmdHOf5m8k2Ql4LZ2Hm8xf/o+9LEySJEkaK7q5T/N/ABOBbYGT6TwR8PIe1yVJkiSNGd3cPeMNVfVO4P+q6h+ALejMc5YkSZLGhW5C8+/nf0/yJ837ST2rSJIkSRpjunlIyXeSTASOBGYCzwCn9rQqSZIkaQwZNjQnWQr4blU9BJyV5NvAS6vqwVGpTpIkSRoDhp2eUVXPAkcNeP/4SAJzkolJzk5ya5JbkkxNckTz/vok5zWj2JIkSdKY1c2c5ouT7L6I/R8FXFhV6wMbA7cAFwMbVtVGwO3AYYvYtyRJkjQqupnT/BFg5SRPAI/TeZx2VdXLh2uUZCU6t6nbh06DJ4EngYsGbHY5sOfIy5YkSZJGTzehedVF7Hsd4AE6TxXcGLgGOLiqHhuwzfuAMxexf0mSJGlUtE7PqKpngL2ATzSv1wAmd9H3BGBT4Niq2gR4DDh0/soknwKeBk4frHGS6UmuTnL1M/Me7mJ3kiRJUm+0huYkxwDbA+9pFs0Djuui79nA7Kq6onl/Np0QTZK9gV2Bd1VVDda4qo6vqilVNWXp5VfuYneSJElSb3RzIeBWVfVBmoecNHfPWKatUVX9Brg7yaubRTsANyfZGfgEsFtVzVu0siVJkqTR082c5qea+zUXQJI/Ap7tsv8DgdOTLAPcBewLXAUsS+euHACXV9X+Iy1ckiRJGi3dhOZ/B84BVkvyeeCtwOe76byqZgJTFlr85yOqUJIkSeqz1tBcVacluQZ4U7Nor6q6sbdlSZIkSWNHNyPNAEsDT9GZotHNPGhJkiRpidHN3TM+BXwdeAWwJnBGEp/iJ0mSpHGjm5HmdwObzb/TRZIv03lQyT/1sjBJkiRprOhmqsWveG64nkDnThiSJEnSuNDNSPM84KYk36Mzp3kacGmSrwJU1d/1sD5JkiSp77oJzRc0X/Nd3qNaJEmSpDGpm1vOnTgahUiSJEljVTd3z9g5yVVJ7k/yYJLfJXlwNIqTJEmSxoJupmccQ+cpgDfQ/eOzJUmSpCVGN6F5NjCzqgzMkiRJGpe6Cc2HAP8vySXAE/MXVtXRvSpKkiRJGku6Cc2fp/MI7Yk4PUOSJEnjUDehefWq2qznlUiSJEljVDdPBPxBkjf2vBJJkiRpjOomNH8A+H6Sud5yTpIkSeNRN9MzVu15FZIkSdIY1jrSXFXPAHsBn2herwFM7nVhkiRJ0ljRzRMBjwG2B97TLJoHHNfLoiRJkqSxpJvpGVtV1aZJrgWoqgeTLNPjuiRJkqQxo5sLAZ9KshRQAEn+CO/XLEmSpHFkyNCcZP4o9L8D5wCrJfk8cCnwz6NQmyRJkjQmDDc940pg06o6Lck1wJuAAHtV1Y2jUp0kSZI0BgwXmjP/RVXdBNzU+3IkSZKksWe40Lxakr8bamVVfbUH9UiSJEljznCheWngZQwYcZYkSZLGo+FC831V9YVRq0SSJEkao4a75ZwjzJIkSRLDh+YdRq0KSZIkaQwbMjRX1YOjWYgkSZI0VnXzREBJkiRpXDM0S5IkSS0MzZIkSVILQ7MkSZLUwtAsSZIktehpaE4yMcnZSW5NckuSqUlenuTiJHc031fpZQ2SJEnSC9XrkeajgAuran1gY+AW4FDgB1W1LvCD5r0kSZI0ZvUsNCdZCdgWOBGgqp6sqoeA3YFTm81OBf66VzVIkiRJi0MvR5rXAR4ATk5ybZITkqwA/HFV3QfQfF99sMZJpie5OsnVz8x7uIdlSpIkScPrZWieAGwKHFtVmwCPMYKpGFV1fFVNqcl8egAAAA1nSURBVKopSy+/cq9qlCRJklr1MjTPBmZX1RXN+7PphOjfJlkDoPl+fw9rkCRJkl6wnoXmqvoNcHeSVzeLdgBuBr4F7N0s2xs4v1c1SJIkSYvDhB73fyBwepJlgLuAfekE9W8keT/wa2CvHtcgSZIkvSA9Dc1VNROYMsiqHXq5X0mSJGlx8omAkiRJUoteT8+QJEnSGDfp0Av6XcKgZh2+S79LWMCRZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKmFoVmSJElqYWiWJEmSWhiaJUmSpBaGZkmSJKnFhH4XIEmS9GI36dAL+l3CoGYdvku/S1hiONIsSZIktTA0S5IkSS16Oj0jySzgUeAZ4OmqmpJkMnAcsBzwNPDhqrqyl3VIkiRJL8RozGnevqrmDHj/FeDzVfXdJG9u3m83CnVIkiRJi6Qf0zMKWKl5vTJwbx9qkCRJkrrW65HmAi5KUsB/VtXxwN8C30tyJJ3QvlWPa5AkSZJekF6H5q2r6t4kqwMXJ7kV2BP4aFWdk+StwInAmxZumGQ6MB1g6ZVW63GZkiRJ0tB6Oj2jqu5tvt8PnAe8HtgbOLfZ5Kxm2WBtj6+qKVU1ZenlV+5lmZIkSdKwehaak6yQZMX5r4FpwI105jD/RbPZG4E7elWDJEmStDj0cnrGHwPnJZm/nzOq6sIkc4GjkkwAfk8zBUOSJEkaq3oWmqvqLmDjQZZfCmzWq/1KkiRJi5tPBJQkSZJaGJolSZKkFoZmSZIkqYWhWZIkSWphaJYkSZJa9PqJgNKITTr0gn6XMKRZh+/S7xIkSVIfONIsSZIktTA0S5IkSS0MzZIkSVILQ7MkSZLUwtAsSZIktTA0S5IkSS0MzZIkSVILQ7MkSZLUwtAsSZIktTA0S5IkSS0MzZIkSVILQ7MkSZLUYkK/C5CkxWnSoRf0u4RBzTp8l36XIEl6ARxpliRJkloYmiVJkqQWhmZJkiSphaFZkiRJamFoliRJkloYmiVJkqQWhmZJkiSphaFZkiRJamFoliRJkloYmiVJkqQWhmZJkiSphaFZkiRJamFoliRJkloYmiVJkqQWhmZJkiSphaFZkiRJatHT0JxkVpIbksxMcvWA5QcmuS3JTUm+0ssaJEmSpBdqwijsY/uqmjP/TZLtgd2BjarqiSSrj0INkiRJ0iLrx/SMDwGHV9UTAFV1fx9qkCRJkrrW69BcwEVJrkkyvVm2HrBNkiuS/DjJ5oM1TDI9ydVJrn5m3sM9LlOSJEkaWq+nZ2xdVfc2UzAuTnJrs89VgC2BzYFvJFmnqmpgw6o6HjgeYNk11i0kSZKkPunpSHNV3dt8vx84D3g9MBs4tzquBJ4FVu1lHZIkSdIL0bPQnGSFJCvOfw1MA24Evgm8sVm+HrAMMGeofiRJkqR+6+X0jD8Gzksyfz9nVNWFSZYBTkpyI/AksPfCUzMkSZKksaRnobmq7gI2HmT5k8C7e7VfSZIkaXHziYCSJElSC0OzJEmS1MLQLEmSJLUwNEuSJEktDM2SJElSC0OzJEmS1MLQLEmSJLXo5cNNJEmSujLp0Av6XcKgZh2+S79L0BjhSLMkSZLUwtAsSZIktTA0S5IkSS0MzZIkSVILQ7MkSZLUwtAsSZIktTA0S5IkSS0MzZIkSVKLVFW/a2iV5AHgV/2u4wVYFZjT7yLGKc99f3n++8vz3z+e+/7y/PfXi/38/1lVrbbwwhdFaH6xS3J1VU3pdx3jkee+vzz//eX57x/PfX95/vtrST3/Ts+QJEmSWhiaJUmSpBaG5tFxfL8LGMc89/3l+e8vz3//eO77y/PfX0vk+XdOsyRJktTCkWZJkiSphaG5R5KsleRHSW5JclOSg/td03iUZOkk1yb5dr9rGW+STExydpJbm/8Ppva7pvEiyUebnzs3Jvl6kuX6XdOSLMlJSe5PcuOAZS9PcnGSO5rvq/SzxiXZEOf/iOZnz/VJzksysZ81LskGO/8D1n0sSSVZtR+1LW6G5t55Gvj7qnoNsCVwQJIN+lzTeHQwcEu/ixinjgIurKr1gY3x32FUJHklcBAwpao2BJYG3t7fqpZ4pwA7L7TsUOAHVbUu8IPmvXrjFJ5//i8GNqyqjYDbgcNGu6hx5BSef/5JshawI/Dr0S6oVwzNPVJV91XVjOb1o3QCwyv7W9X4kmRNYBfghH7XMt4kWQnYFjgRoKqerKqH+lvVuDIBeGmSCcDywL19rmeJVlU/AR5caPHuwKnN61OBvx7VosaRwc5/VV1UVU83by8H1hz1wsaJIf77B/hX4BBgibl4ztA8CpJMAjYBruhvJePO1+j8D/tsvwsZh9YBHgBObqbHnJBkhX4XNR5U1T3AkXRGd+4DHq6qi/pb1bj0x1V1H3QGUYDV+1zPePY+4Lv9LmI8SbIbcE9VXdfvWhYnQ3OPJXkZcA7wt1X1SL/rGS+S7ArcX1XX9LuWcWoCsClwbFVtAjyGH0+Pimbu7O7A2sArgBWSvLu/VUn9keRTdKZLnt7vWsaLJMsDnwI+0+9aFjdDcw8leQmdwHx6VZ3b73rGma2B3ZLMAv4XeGOS/+lvSePKbGB2Vc3/dOVsOiFavfcm4JdV9UBVPQWcC2zV55rGo98mWQOg+X5/n+sZd5LsDewKvKu8v+5oehWdP9qva34HrwnMSPInfa1qMTA090iS0JnPeUtVfbXf9Yw3VXVYVa1ZVZPoXAT1w6pytG2UVNVvgLuTvLpZtANwcx9LGk9+DWyZZPnm59AOeBFmP3wL2Lt5vTdwfh9rGXeS7Ax8Atitqub1u57xpKpuqKrVq2pS8zt4NrBp83vhRc3Q3DtbA++hM8I5s/l6c7+LkkbRgcDpSa4HJgP/2Od6xoVmdP9sYAZwA52f80vk07nGiiRfBy4DXp1kdpL3A4cDOya5g84dBA7vZ41LsiHO/zHAisDFze/f4/pa5BJsiPO/RPKJgJIkSVILR5olSZKkFoZmSZIkqYWhWZIkSWphaJYkSZJaGJolSZI0IkmOSHJrkuuTnJdk4hDb7ZzktiS/SHLogOUfaZZVklUXarNdc9eTm5L8uIu+kuTLSW5PckuSg1pqf9eAO5vNTPJsksmtx+zdMyTpxSPJM3RuJfcSOk86OxX4WlUN+bj4JJOArarqjNGoUdKSJcl2wD5Vtc+AZdPoPAPh6ST/DFBVn1io3dLA7XRuuzgbuAp4R1XdnGQT4HfAJcCUqprTtJkI/BzYuap+nWT1qrq/pa99ge2bGp+d36bLY3sdcH5VrdO2rSPNkvTi8nhVTa6q19L55fFm4LMtbSYB7+x1YZLGj6q6qKqebt5eTufJfwt7PfCLqrqrqp6k84Te3Zv211bVrEHavBM4t6p+3Wx3f1tfwIeAL8wfPJjfJskKSU5KclWSa5PszvO9A/h6N8dsaJakF6nmF8N04CPNx5OTkvw0yYzma/7jsw8Htmk+hvxokqWbj1avaj5a/WD/jkLSEuB9wHcHWf5K4O4B72c3y4azHrBKkkuSXJPkvV309SrgbUmuTvLdJOs2yz9FZzR8czoj0UckWWGh/b2NLkPzhG42kiSNTVV1V5KlgNWB+4Edq+r3zS+NrwNTgEOBj1XVrgBJpgMPV9XmSZYFfpbkoqr6ZZ8OQ9IYlOQKYFngZcDLk8xsVn2iqr7XbPMpOlPFTh+si0GWtc0LngBsBuwAvBS4LMnlLX0tC/y+qqYk+RvgJGAbYBqwW5KPNdstB/wpcEtT+xbAvKq6saWmBYVJkl7c5v8yeQlwTHNByzN0RmwGMw3YKMmezfuVgXUBQ7OkBapqCxh8TnOzfG9gV2CHGvwiudnAWgPerwnc27Lb2cCcqnoMeCzJT4CNW/qaDZzTvD4POHl+icAeVXXbEPt6O12OMoPTMyTpRS3JOnQC8v3AR4Hf0vkFMwVYZqhmwIHN3OjJVbV2VV00KgVLWiIk2Rn4BLBbVc0bYrOrgHWTrJ1kGToh9VstXZ9PZzrZhCTLA1vQGRkerq9vAm9sXv8FnQsGAb4HHJgkTc2bDKh/KWAvOnOju2JolqQXqSSrAccBxzSjPCsD9zUXw7wHWLrZ9FFgxQFNvwd8KMlLmn7WG2SenyQN5xg6P1cubq6XOA4gySuSfAeguVDwI3R+5twCfKOqbmq2OyjJbDojxtcnOaFpcwtwIXA9cCVwQlXdOFxfdK7b2CPJDcA/Afs1y79I5xO465Pc2Lyfb1tgdlXd1e0Be8s5SXoRGeSWc/8NfLW5zdK6dD6inAf8iM5o8suacHwhsCpwCnAU8CXgr+iMOj8A/HVVPTzKhyNJLxqGZkmSJKmF0zMkSZKkFoZmSZIkqYWhWZIkSWphaJYkSZJaGJolSZKkFoZmSZIkqYWhWZIkSWphaJYkSZJa/H8TTBF/0nCE1wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(x, y)\n",
    "plt.title('Kumpula temperatures in June 2016')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Temperature [°F]')\n",
    "plt.text(20160604.0, 68.0, 'High temperature in early June')\n",
    "plt.axis([20160601, 20160615, 55.0, 70.0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can find more about how to format bar charts on the [Matplotlib documentation website](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.bar.html?highlight=matplotlib%20pyplot%20bar#matplotlib.pyplot.bar)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Saving your plots as image files\n",
    "\n",
    "Saving plots created using Matplotlib done several ways.\n",
    "The recommendation for use outside of Jupyter notebooks is to use the `plt.savefig()` function.\n",
    "When using `plt.savefig()`, you simply give a list of commands to generate a plot and list `plt.savefig()` with some parameters as the last command.\n",
    "The file name is required, and the image format will be determined based on the listed file extension.\n",
    "\n",
    "Matplotlib plots can be saved in a number of useful file formats, including PNG, PDF, and EPS.\n",
    "PNG is a nice format for raster images, and EPS is probably easiest to use for vector graphics.\n",
    "Let's check out an example and save our lovely bar plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(x, y)\n",
    "plt.title('Kumpula temperatures in June 2016')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Temperature [°F]')\n",
    "plt.text(20160604.0, 68.0, 'High temperature in early June')\n",
    "plt.axis([20160601, 20160615, 55.0, 70.0])\n",
    "plt.savefig('bar-plot.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(x, y)\n",
    "plt.title('Kumpula temperatures in June 2016')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Temperature [°F]')\n",
    "plt.text(20160604.0, 68.0, 'High temperature in early June')\n",
    "plt.axis([20160601, 20160615, 55.0, 70.0])\n",
    "plt.savefig('bar-plot-hi-res.pdf', dpi=600)"
   ]
  },
  {
   "attachments": {
    "M45_RefreshButton.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you refresh your **Files** tab on the top right side of the JupyterHub file browser in the folder `assignments_M4b`, by clicking the button:\n",
    "![M45_RefreshButton.png](attachment:M45_RefreshButton.png)\n",
    "should now see image file `bar-plot.png` listed.\n",
    "Now, we could try to save another version in higher resolution with a minor change to our plot commands above."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# B. Learning Matplotlib: Interactive Tasks\n",
    "\n",
    "### Task 1: Plotting like the \"pros\"\n",
    "\n",
    "We’re only introducing a tiny amount of what can be done with pyplot.\n",
    "In most cases, when we would like to create some more complicated type of plot, we would search using any internet-based search engine ([Google](https://www.google.fi/) or the more privacy providing [DuckDuckGo](https://duckduckgo.com)) or visit the [Matplotlib plot gallery](http://matplotlib.org/gallery.html).\n",
    "The great thing about the **Matplotlib plot gallery** is that not only can you find example plots there, but you can also find the Python commands used to create the plots.\n",
    "This makes it easy to take a working example from the gallery and modify it for your use.\n",
    "\n",
    "\n",
    "<img src=\"./img/M45_matplotlib-gallery.png\" title=\"The Matplotlib Galery.\" width=\"500\" />\n",
    "\n",
    "Figure 1: *The Matplotlib Galery.*\n",
    "\n",
    "\n",
    "\n",
    "**Your job in this task is to:**\n",
    "\n",
    "1. Visit the [Matplotlib plot gallery](http://matplotlib.org/gallery.html).\n",
    "2. Find an interesting plot and click on it.\n",
    "3. Copy the code you find listed beneath the plot on the page that loads.\n",
    "4. Paste that into an Python cell in this notebook and run it to reproduce the plot.\n",
    "\n",
    "After you have reproduced the plot, you are welcome to try to make a small change to the plot commands and see what happens.\n",
    "For this, you can simply edit the Python cell contents and re-run.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add you code here\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 2: Plotting only part of a dataset\n",
    "\n",
    "For this task, you should use the values for arrays `x` and `y` calculated earlier in this part of the lesson, and use `plt.axis()` to limit the plot to the following *x* and *y* ranges: *x = June 7-14*, *y = 45.0-65.0*.\n",
    "\n",
    "- What do you expect to see in this case?\n",
    "\n",
    "**Note**: In order to get the plot to display properly, you will need to first type in the `plt.plot()` command, then `plt.axis()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add you code here\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# C. More advanced plotting with Matplotlib \n",
    "\n",
    "**Note: This content is optional, but some of it is needed for this week's extra credit exercise.**\n",
    "\n",
    "This Section C. part is also available as video tutorial on YouTube: [Lesson 7.2 the Geo-Python](https://www.youtube.com/watch?v=YxchP5MziC4&feature=youtu.be) (ignore the comments for the course at the time of recording, at the beginning and end of the video).\n",
    "\n",
    "At this point you should know the basics of making plots with Matplotlib module.\n",
    "Now we will expand on our basic plotting skills to learn how to create more advanced plots.\n",
    "In this part, we will show how to visualize data using Matplotlib and create plots such as the one below.\n",
    "\n",
    "![Subplot example in Matplotlib](img/subplots.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The dataset\n",
    "\n",
    "For this lesson we will use hourly weather data from Helsinki.\n",
    "\n",
    "- The data file (`1924927457196dat.txt`) is in the same directory as the previous dataset: `assignments_M4b/data`.\n",
    "- It contains observed hourly temperatures, windspeeds, etc. covering years 2012 and 2013. Observations were recorded at the Malmi airport weather station in Helsinki. It is derived from a data file of daily temperature measurments downloaded from the [US National Oceanographic and Atmospheric Administration’s National Centers for Environmental Information climate database](https://www7.ncdc.noaa.gov/CDO/cdopoemain.cmd?datasetabbv=DS3505&countryabbv=&georegionabbv=&resolution=40).\n",
    "- There should be around 16.5 thousand rows in the data.\n",
    "\n",
    "The first rows of the data looks like:\n",
    "\n",
    "```\n",
    "  USAF  WBAN YR--MODAHRMN DIR SPD GUS CLG SKC L M H  VSB MW MW MW MW AW AW AW AW W TEMP DEWP    SLP   ALT    STP MAX MIN PCP01 PCP06 PCP24 PCPXX SD\n",
    "029750 99999 201201010050 280   3 ***  89 BKN * * *  7.0 ** ** ** ** ** ** ** ** *   28   25 ****** 29.74 ****** *** *** ***** ***** ***** ***** ** \n",
    "029750 99999 201201010150 310   3 ***  89 OVC * * *  7.0 ** ** ** ** ** ** ** ** *   27   25 ****** 29.77 ****** *** *** ***** ***** ***** ***** ** \n",
    "029750 99999 201201010250 280   1 *** *** *** * * *  6.2 ** ** ** ** ** ** ** ** *   25   21 ****** 29.77 ****** *** *** ***** ***** ***** ***** ** \n",
    "029750 99999 201201010350 200   1 *** *** *** * * *  6.2 ** ** ** ** ** ** ** ** *   21   21 ****** 29.80 ****** *** *** ***** ***** ***** ***** ** \n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting started\n",
    "\n",
    "In case you took a break after the previous example, let's start again by importing the pyplot submodule of Matplotlib."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading the data using NumPy\n",
    "\n",
    "As always, let's first import NumPy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now load our data using a similar approach to that used in the previous lessons.\n",
    "Note that in this case, we only want the `YR--MODAHRMN` and `TEMP` columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "fp = './data/1924927457196dat.txt'\n",
    "data = np.genfromtxt(fp, skip_header=1, usecols=(2, 21))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With our data loaded, we can again split the data into separate column arrays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "date = data[:,0]\n",
    "temp = data[:,1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also go ahead and convert `date` to integer values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[201201010050 201201010150 201201010250 ... 201312012150 201312012250\n",
      " 201312012350]\n"
     ]
    }
   ],
   "source": [
    "date = date.astype(int)\n",
    "print(date)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again, take some time to check the [documentation page](https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.astype.html) of this numpy function `astype()`. As it is impossible to discuss all the features of any module in Python during our notebook lessons of this course, one major learning element in this course is to get you comfortable to go to the web and figure out the availabilities and functionalities of a module's tools on your own."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparing the data\n",
    "\n",
    "A quick check of the `temp` data will reveal there are a handful of missing data values.\n",
    "We can check for the existence of `nan` values, for example, by running the cell below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of date nans:  0\n",
      "Number of temp nans:  26\n"
     ]
    }
   ],
   "source": [
    "print('Number of date nans: ', np.isnan(date).sum())\n",
    "print('Number of temp nans: ', np.isnan(temp).sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ouch, 26 bad values to cut.\n",
    "Since we're working with value arrays, the easiest way to drop the `nan` values from `temp` is save only the values that are not `nan`.\n",
    "We can do this, for example, using the following."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_mask = ~np.isnan(temp)\n",
    "temp = temp[temp_mask]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This command simply uses the NumPy `isnan()` function to find all `nan` values, then takes the logical opposite (not) of those values using the `~` character.\n",
    "\n",
    "Lastly, since we've cut `nan` values from `temp` we should do the same in `date`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "date = date[temp_mask]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Converting temperatures to Celsius\n",
    "\n",
    "Now that we have loaded our data, we can convert the values of temperature in Fahrenheit to Celsius, much like we have in earlier lessons."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_celsius = (temp - 32.0) / 1.8"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We should now have a value array `temp_celsius` with all of the temperatures from the data file in Celsius."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using subplots\n",
    "\n",
    "Let's continue working with the weather data and learn how to do subplots, i.e. Figures where you have multiple plots in different panels as was shown at the start of the lesson."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extracting seasonal temperatures\n",
    "\n",
    "Let's first divide our data into different seasons: Winter (December-February), Spring (March-May), Summer (June-August), and Fall (Septempber-November), for one year of data from 12/2012 until 12/2013."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "winter_mask = (date >= 201212010000) & (date < 201303010000)\n",
    "winter_dates = date[winter_mask]\n",
    "winter_temps = temp_celsius[winter_mask]\n",
    "\n",
    "spring_mask = (date >= 201303010000) & (date < 201306010000)\n",
    "spring_dates = date[spring_mask]\n",
    "spring_temps = temp_celsius[spring_mask]\n",
    "\n",
    "summer_mask = (date >= 201306010000) & (date < 201309010000)\n",
    "summer_dates = date[summer_mask]\n",
    "summer_temps = temp_celsius[summer_mask]\n",
    "\n",
    "fall_mask = (date >= 201309010000) & (date < 201401010000)\n",
    "fall_dates = date[fall_mask]\n",
    "fall_temps = temp_celsius[fall_mask]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can plot our data to see how the different seasons look separately."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11f01a2d0>]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(winter_temps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11e8489d0>]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(spring_temps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11e811c50>]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+4SbYpRHZQziBqZr0Dfy4vLR+eXpSWWyPD/KK7IE0vwVaqZM9CPMbx1wCTkcFC7nto4LZFg0LbUFUyRjEZQ+FhlJAK0n6pmXOcrPIbiWOTTbMrxmPcpmMBAIxfgHG/E4QU1dU9s2G0JUF+NkehOUbH5Cbk5iWjk03xJlfNRZFLuaCbgGno45sAbPWo4JZsz0ssPs6Exi1nSA+JFWG+e1Xf+nkhQl4S52OOMs1JlJifhfW/RMIBgExfuEmKVoZh27XVoMKU3x1rzUzfu22PjVWMPKg7rMklD1wzS+E+a0Df+cWmr6Ta/8XmpE2KlhssoewH/Dry7VGErC0R/x7hUY7Neeke9UpCpt6UcYdgUCMXwBucGqniRchC5iBluQQQD0rkRfaGr10jGh+xxNFyPzmjPm1sgclfaIG/J1baOnC5uI1EviYjfldaIx6KGfwmV+UAW/90/xmeYFWYjS/PM+vTXUmTIxAIMYv4CapVloOQkGqJcoCYf6un9BooLF5fhOX7UHGm/FBmO2BJrWc5/lV1SjwxYxecot2co3JiaoXZiHAz1QxPs+3n5ht0bDQ8vx2ZtH8uiIXfcrzy7I9ZEUBrTWyQlvP5jiNOwJBHcT4BTBTpoNpp0ml0s5MXvjGb5dJnAbtggW8JZb5lQFnXGCLXLT91HmZV+FNjdWCqJeJPcsZ87vADEhfMrWwjLRRwazM7wL2BgBhtgdW5KJfeX6LAu0ksbmDnaxPilwIBAQxfuEM2naqkCiF7QcOu3259mQPYfACBw0yVvagnOyBkxl7pzrW4BYsXMxkBfZOdSrbaW5ZkpLsQaMotE1rBJDmd3FPQh1PAtD8WrNCM9kD98IU2Huoer+HDa011mzdH23L4cxvr6B38L6yk43Fdn9wX2eyAqs37xtZoy70ANDfWpsxQZV5frfun258zr1THazevA+PbNyLjXumvH1ent+8sO+QlDcWCBzE+IWv0e3kBVas2uLtW9Lmsgc3cIWgQfk7j28HYNg9Ko7Hmd/L3rMCv/Xp+/p7EYKh43c+cz8ue8+KyvbCMr8keyiszm6cKrx95MY19nMvhqAve3A36Q+/+BAue++KeXfbfnXlRlx51a247L3VZ3/9I5vtZ5E9zA05u2+Xv+/Gyv6QIf2bGx7D6z5yG/7j7qcH3ra5IJRxuDnE/J0qhU5WQGvgyW0HGp3z9f/3e3jdR27DT/3D7XjFX9+Mm1Zvtfs6uZ/n97Y1O8zvlGOPZHsQCMT4BcAC3pIELz7rOBwz2Xb7ClcZB3CGcmz+JcaCBrtXXniyC3gLjr+lNJAFCxc3rt4W3W4D3lKX7cEtsFyFt8Uuhdl5cMZ+7sUQNLKHatrBr67cBGD+3bbP7nJMW2iIpywR+GJn9geFmJfgnBOX4Zq3/jAAv5AIAOwu+9mug/PvFYiB5pefeP6p5u+y/Twf/KsvPgUAsPvQTOQMVazdcdD7+8Fn9tjPlC3F5A7WODSTeb8f3j+BYBwhxi9cOc0kUXjuycu9fYWGZ/zShBab2MjNS5PzZDvB7EnSBAsdoQFki1y0XbYHmtBbnuxheG2cD8w184Eve4h4WEboxlWrd+nafYJmiN23H7voFFx25rEAqswvvW+jml2D5oVXXnhS+bc/hySJwvHLJ7xjewXPxmmK6SRl7uDC/t6xSw2ps9B09ALBICDGL8zgSUZJqvyUMwWLkgW48Vs9TxZofpPEFbkQEmjxIpysrea35Vz35MpNWcDbIid+/TLhWfOLnckKLJtome9FJupRCiQLDfFOXriy1mL8zgkxI1Yp9+6Ez5/G3VGVmWSWDPEzmNBlJmWRC2DuhmmS0DxjAtwmmOaXxidXbn103h+BYL4gxi/M4EQDa5okniYq19oyeIArYBBjfq07i7F8rr7baA7MgiNHaORYzW/LaX55Oj2Ayhsv7j7hZT7oifl1GVZihu4oMVcxQ4yeu2gru6Pu/sSY37SslhmrhMZL+I4iqH1Lg+wvxFiniSlvDMydvSa5jZ17SPOba+d1Ssv7J/1SIBDjF6DKW2T8Vl2Xk1HmN8ZIkfuNtFyqovmVCXHxITSAqkUutBdUCZSpzobYxvkAN1J7MVi5ARkzaOZbs8ivpFq9q7CMvzC/3VFXbCF234jZbKdJJHWYrv3eKID6yLIgiNOlxFR2UTxX9pruj2/oJugUBfLyfpn0Z9X7JxCMI8T4hRmErVGSKG9Q1toZMYBbWXeTPRTM0AkrvEl1ncWHigbRMr+O6alofseA+eUsVi9SBYpWr2Op5pv59eQcgSFOLudxeL5Hirr7E3u+NI62kmolNOpboySH4aD3IEzfVzCSpM2CY+eCUBLC8/zS/UrLIk6jKg8RCIYJMX7hV95qJcqXPRQ6mu0hyvwWrowt4Fx1/HgJgll8CA2gsMJbp6jJ9rDIuwKfZHvN8+ui1UdP9sDbFHPBt1vG8JB3vTvqCPw8siNRjvmt0/zOd7+oA/WRMH0fdY80UXZRfKQBb3QPTLXSBFmhvYU3VX0TCMYdYvzCTbZANeAt1zqa7UGz8YO+mzF3llJU3tjAyh4Wu8UzhggnXeo+PMCEF1IBTLaH+c5XO2iEBSoafy/XVrMYDXib58mbjw8VF3yZZipRYvzOhp5kD8T8RiqhUT+b735RB2pvWLXQBkaX5Y2BIzF+S+PZxhYkaJc37XDHbCMje1QXCQLBMCHGL4z7iQe80bZwHxBnfls2UtcFvDn3tgt5498XLB7Uyx54nl83AQFmwlvsPYEbrr24WjtFgXZaz1LN9+TdmY35TROkwvzOirr7E9tOxl0rSaJSE2D++0UdeIU1pdzftPhNEqf5natuOQ0ImHZimF8AmM5yAObeGeZ8NO+TQDBMiPGLMtuDcgFvtA3w9cBAPOCtnTj3NmAGbxqsK8zvaJITgiNAOBnrMOCtiGl+1aL3AphiFdUyxd2QFxpam4m6jqWab22nF8gXVu8qTGnZNIgdEFRR5/mIGYDKyh7qmd9Rded3rEGaoJ044zPnAW/JkaUhC41fyvMLANOdvPydkjkf0fskEAwTYvyiZHdTF/AGGONWazMRO/Y2HvDWnfk1x0jA2+JFlfk1/7uAN22PIc9CMgbljbNC25RlTVk5MmxttHrke/Md1e/LOarMbysR5rcJemN+zf+tiDdg5PP8sj5tZBtlwBtpflme3zlnewhkD+3U6YinO4VJu6lE9iAQEMT4BWl+za2gASMvtDc4EWib9mQPLqUVnY+MaFL90uEyIS4+1KU6a7NFUR4wv4Ba9BXeOrmr1NaUreXa6DqWar5TNflyjqoh1k4VUtH8zopazW/EOHOyhwWY55elH+PZKkhap5SbQ5qwsrF0mRXmN0nsOQ93crs/FjAoEIwjxPgFyRTMZxpkMy9C3x1bRJhfCiywKWyYVMLl+a3PEiFY2KgUuSgDHm1SfhZxzfvFog94ywtMtnurdmZZsq6yh9HJ9hBeV1Y45lfe9e7oLduD+X9h5vl16ce48Un9w8/2MPs1xBYNdH98z0nJ/Ga5Pb9ZUI7mfRIIhomxM34/9K3H8UsfvQtfuv9Zuy2PML9Fob3a6/bYiBFLK+zbntjBzhdofsv/+ffec+2qPl2VYNi44ZEt9jOfjPNC4x9uftIy/ZSuK2R+N+6ewmNb9uPRTfsw3cnxjmsexs4Dh6G1xge+uRqPbdnX9zY/tf0A3vgvd+LKD38Xdz61sy/nPJzl+JMvfx/b9k9Xtq/ZdqBrpbYYntx2AABswBt97+mdB+0xw9IsdvICb/vcg/jAN1fbbXsOzeCrKzfZvz92+zr7uSg07l2/22p+x829/O6vr8Kvf/werN9xcPaD4Y+Fv/zRuzGT+akiOUh6FmYAeWTjXjy98xAA4LY1O7Bxz5Td9+EVj+PlH7gJUzN55XzrdhzEu7++qq9Fhw7NZHjDP9+BV/z1zTicud+8afU223aercJle4jn+e3kBX7jE/fihe/+Fg4czuz2mEeBPIwrN+wBQLIHc86pmZyl8hxv5vfutTvx5o/dg7vX9mf8GxVs2HUIb/nUfXh0U//njcWKsTN+P3HHenzvyZ24hhm/XKZg3UfM+E2Vwh+/9mIA8WwPn/yNHwQAO0DxgLd2y09hwweuj39vvVR8W6D47X+/337mk/H2/YcBAKcdMwnATdZZkO3h0c1mkPr8vc/g6ys34XP3bsCHVjyBvVMdXH3rWrzp6rv63ubrHt6Me9btwpptB3DVjU/05ZzffnQrPnvPM3j/dau97Rt2GSPk+GUTAIDDWbMJd01p/J530lGebvbe9bvtMcNirjbunsLXVm7C1beutdse2ehPLvQcAWDHAfPsl7ZTk+psjJjfTl7gE3esxy2Pb8fd65oZFnwsvP3JHXh296HKdgKNp0taiTWSAeCWx4xhefYJywAA963fZff9/c1PYsu+aVzzwLMI8XuffRCfuGO99/yOFE9tO4h71+/Gxj1TuPHRbXb7TDn2H7Wk5WWroMtMEmXHBc56P7t7Cjc/tg37pzN86s71djvv/+9//QvKc5ltW/eZRegLnnMslpRel0MzuSVoYgGD44RvrdqKW5/YjhWPbp3vpvQV3y2v6bP3PDPfTVkwGCvjV2uNqTLylf4HzIBDjBwPeOMr87e+6nk4/5SjXJ7fcvz40Bsuw3knLceFpx5lj+fML2keiX2gse3CU48C4NLQCBYu+EKIjNz/deWFAGDd35b5TZX3Xb7IKgptGS7ePwfRzn7pUek04fno7ysvORWAizifDTSxX3jaUUYaQr/Dzj8suQh/BrR4pW3X/u6P4L+99Czvumjfay49Da10vDS/3n2IMK0xhLIQun/d8vwubafec5nqGJf+597y8trfjvUXOt9MH1lQ7pHQ8N+1V5x/IpQyRm4RECjUFjNWuPPxa+GXkJfG61/81CX4ieefWp7L/VYrUTjlmEk79xw4nHll1cdpURYiNv8vBlAfF0lLc4yV8dvJnRHCB+tcA7zCG1AGvJVjmWWFWRBLdeBK7KCSMyZ5kozf8vfomOVLWmZ7w4lCMLrgRg71Gd6fck/z2/2Vo4lxELpWPue1AyO836B7clSP/Zyuv5UkSJSygzqfsIeVqYlPkNPBpLl0IsVkO/Wui/Ytm0jHLuDNN0ibp7XjoHvcjfldOlE1fpe2Uyyb8MfZ2WDTEDb0SDRBncbbVBB1sjp6tblnETBzCT9H3bWQkd0qy2jzcxWa3Stm/HLN7zh7G6mPTS+yeZc8a2qww/qiwlgZv7GJCjDML18Zm23aTrhkJySJsmmsrMuK5Qe2zC8LeCPNYziwW6Ngka1AxxF8sg7lDVTpK7dR2P7opOHYTQ1nJA/CcOIsVzvtz6tPxmnYWmr/8h77uVcaHHFmeViBZNOR8YK2LZ1Iq4ZYuW9yIh27gLe6sbUbKszvTH2+XprUwwXHdCe3CxH+27O9P9T/+8r8sgWrq+1ZGr/eHOJL4GxmoICVrVsw8uBZmn+cR1KD1tdUTnn/tM/8jjM7eGgmK/9fXPMu9ZUxGnKOGONl/LJBmXd+szJ3K2PalrNBxvxfLXJBgzJnevj5loWyB2J+J4xR0NQdLBhdxAwzriH3mV/f+A2Zp0EaTHwyneib8RvfTpN4O1WYaCXNDSJrEBhjIBYoOqy522N+S8OMJs+l7RRL2yk6ua5IIpa207ELeIux5LMhfI7dDFcy8pZNpBWJxdKJFEvK6mnUx2drAzG/M31kfrnhyg14Ph943kPyLDLml79P9cyvW0gTa8ylFBXmd9oxv+O2KAtBXonFRjodIsnQGAcz9oqxNH5PWD7hsTpco8tTnWlr4LqBi6+w+fF8UDErfZ/5pZfOMr+T5A6WzrrQwZkUGnv4ZJNrF/AWMr9TndwOWAqDdZV7xm+rP68+GRmht80tHBNjsDRkWsiAaCWJlw6O35f50Pw6raB5VtzVbl2pzPhNxqCCH4fH/DZ91kFft5rfaJ5f839M87u0nUIpZfbNxGI6quebSP1A5H6A/85hJv3gqS95EKdLdWaOS5UvSagz0HKWy9cxv7D/84UCYNhtCngb9yIX05H+sRgQ6/eC7hgr43ftdhNJfsLyCa+TZIU/OAFlwBvLwwiQy8ppqwDf+OUpbOg7S0ojI2Q1SPaw4pkHI0gAACAASURBVFGXMovjC/duwIPP7K5s/9L9z+KfvvOUl/pG0F/c8vg2fGuVeS5aa3zqzvX46G1rayfKz9z9tP1MRi7vFzEvAuEbD2/2Is77Yfyu3rwP9z9d7Tu8z4ftmCvonOHv2esloyQYlL/64Ea899pH8Z3Ht0W/lyQoNb/+dmCIzG/ElU//T7YT62rftGe6PL40jEvZQ7/SyQHA11ZuxOdGOJI7tlCYDRXN70yXgDcWQDzVye0C6NYndtjnsIzJUPiz+9CKJ+z7TKDFX9MsJE2Q1xiu4fzC5XGAI1fMgsmdjy8Yv+RlJ2Ka33IG5x5JxRYKBE7ueF6UQuNjt6/DVd9+wsuUMRv2Hurg3V9fhTVb9zf+zihgKlioLhaEC/AQdzy5A+sapiAcF4yV8fvgMyYH4kWnHY2s0K7MJJc9sIA3PoHT/6HsgRfH4DmAyfhRyrh9D3d82cN5Jy0HAHx15cZKO/dNd/C/r3kYb/63e7ztUzM5/vCLD+FvbngMt6/ZcUT3QlCPX//4vfitT5tUZht2TeEvvrYK77tuNR7ZuDd6/G1rdmBbmWIoDHgjNyevvAQAv/Sys+33P3vPBgBG89sP4/d1H7kN//Wf7qhs57lH+0VKTpcM184DM952bsQuaSX2OMLbP78SH/veOvzax++Nfs9pfv33Lfw8SEwzw4gmlcNZjolWAqUUTi3T2VFqLzpmspVi33QHB2fyvgQXaa3xts+txDu+/H3sPjgz+xfmAZzpbC57CIzfrF72QAbiRCuB1iYgdLqTY6qTW0N3Ik2sMcv7+oHDmX2fCaT57afxy6+H34OCpb5MWcAbGfCpnSuCc7BrWLfjoM2lzRfSdF5tz+kW3scua9vvc1kfv79rth3Ae7/xKD5y0xr87bceb3ytb/+8SRV35VW3Nv7OKGA2I3GhgvpxOM4SfvGjd+PHPvSdIbZo9DFWxm+hjbzh+acdXf5ttmdMpsAD3sJsDx7zW+7jydd59Tce1M+NZvr+2Scsw+tfcka0naRD2x+wu1yf1s9ADUE9+CTabaKkfc5tH2p+HVsDAO9//Qux/q9/Eqces8SeQ+v6kq/9QF5oXHL6Mbj4tKP7ViiCFpChjKLQzthvpYn3e90MQj6xK6aB5N19WMavV8ktJ7mTW/D+wNnH2W2Az8i98YqzAMDmdD0S8Mwfo/redyL3ajZQN7jqFy4zfwdyAA665zTeamj7zr3hijPtPvrqbNlSiB3tpwSAn8uTQmkdjAckgTP7Y9I5wF3DO3/y+QBQKQLSSpS9L4VHvJhtS1opLj/neHss/ZYnz2g4voV4dvfU7AeNIGw1wEUm/aBnOs4FTHrFWBm/WaHRThMvly8QBCTwVGdRTRa873Lml14srbUX7Zt6WSJcQFR9+dZ4B+YTXz9T9AjqMdNwUndFTErZQ2D8zhDzG6QYa7FVEi+pPQjkhbbVx/r1Ox3W5zlcgJ+ZeGcyNql3MQip1LhSqgx4qxpEw5LS8veQPmvts3i8bfwZUyq5fkyyfOEwqpMbN8iattFVPTTvgGVEI8cmjB0FTB+wZYPLAZprxG2Z3xp5D43P/byfvI9yoiLLdWU84MfTEBBKEuj6SNbRYbI6cy6n+Y15HQHmteSpFyMG9kSwQF2soOfdj0XpKKEI+r1gdoyV8dvJC7TSanoYMgoAv8Jbbg1cYn7dIEPjR2zVruGMYsB3ZzmtsCmLHOusdRMmH5zGYaAaBXjlRrvcc5eizPydBv3CTtRBnl+eb7fDyiAPAlnpfm0l/Ut3lNnJxD+fzdpQlm71DbguzC8LDuKpzjhbPCzml7eT3tNCu+A+ZccR8zd/xmTQ9WMy4u0YVcaKrnNpO630hTrQcyTjtahZSAFMGgDn5rcGd+oMY/om3TOue+Wg8bmfxgJ/pzxPh9aedM55D/35RQWaX2obBa5R//KZX1/2UGjXL805UR5r7nESEC4da2An6GTN+9ZCzSdL1zuq79FcQe/SOKex6xVjZ/y208QORDw1WYzNCQcn7jIKV+2tJAiG46vvpCp7SJXCRFCnnrczBn/Qkk4+aBRMrgA0ZX6d257+z7jmN2B+eb7dQRu/FHXeV+bXTiZ+n+WsXlhStVs6Hq6/T5g14xW5GFLXj7mxuabSupwDVypnfvvxnsYY6FEDXefkRNo43RL1kYmWz17G1jY0nFrmFy7FHC0oFVxRFMuaTjjjl/d5TnL0C16+b/bcQ3IlDJp2/d1f5Nl7WmF+XS7xsA9qJnvg5+YxCD67XC4SJtKe2NCFmsiErndU36O5wskeFuiDmQeMlfGb5UZ75arimP9DTRYQFLmI5Eh0eX6rhrGRPTh4gXI2EEgZLWSM+a0ZkH1d3eJ6eUcRnaKIsn8xZBWXpN8vaGIJi0u02N9ZPljZQ5Ybw7KVJH1jPuj+FNqfuDPbz6sejm4DNNffex6TeWB+Y3KDQjvqN5Q98GdMz7kfHpqFsOjNGEvZXPPrFkgAKsQCh2VHy78p6A1wC0pTIa1sT/lhGTN+eR90mt/ByB46gfEbC3hznkXYfWGp9DRRNi0b9SUXPMu9mGUbCniyB/pM9ygMeKM+u7Td/LktZFjZwyK71tD7xDGs1JALDWNl/HZyo/m1kxZjbKj8JGeFbcR6zGVV9ic+uPBBxZc9OM0vN6hbqYq6CGuZ34hxIegvdMCKxFyEMdDEFC6YWlb24Lt4CZ7sgS24BgFyv/aT+fUMxMDVCzDmt8YlHILr7xNW5ILfl2EN5nVyA+4J4m3jRgktavphUHiL3hGVO9E4ZmQPzdpIh5FhprU/tnKQh80xvzHNr2KyB2fUEfwxs3/MvD1/Hu/jdQFvLm7E9SfeRCJrWoEXIQwK5efiAW+AH3tAvxFjqCfbzRn7hQwX8La4rtXaMpGXR2yFOMbK+M2Kes2vDWpjzK/T9Zb/J25w0sGqPZREcN1VmlST9SdKoZ3UML81A3JT9kwwd4QTQ6ex7KHqkgScxi7LCyhVza/LA3KyAcseyP3aSlUfsz3EDUQ/4M3v593uIzd+OfPrZ3voS9NnRRYxOnke1VBvyZ+xkz30gfmNuMJHDXSvlvbA/NKigZhNulWxtY1jfp2h3LELSscK62AhsoQbv+xZ2OP6uJioZX4rAW/l8RXNb/Ucnhch1PymqgwM9WNKvLnHan7jAW/8uTXVai9kWNnDIrvWbgFv48DozwXjZfyWK2kaiGgQMEE2JfMby/PL9VI1zG/KBhXmGbXHVKv6GCMkdBcD9QNyU92kYO7wDI2iqGVzKt+zxq/5O8wN3Sl0JdgNGK7sgdyvpEPuB+rYUT/gTTWWj3gBbyx11Xzk+Y0Znd00v/SMlVLWld+P++wvHEbzvbfa0Xba2OAvgvHVjZ/Ve6aYgQiUzK+tmsiyPVB7SILCFpedyOKsr6nO2PXw55RXAt5c8CQdD5TMb+AhaaXKGq4uqJZ+J3HfY/eODzNhLEuSKFshDvAZ+1761kKtXtix0pHRfI/mCnqk0exRI+otmm+MlfEbBry5HKJx5tdqspKqges0v+57TvNb1V1ZfTEzjmhFH3bOOnbHdzEvzMFn1BHmK80asu30DMMFUyulgLeiEuwGhLKHoi9FEepAhmU/S5zWyR54wFsr8bM9dDMIecAbZ/Lmo8JbJy9cYBTT/NITq8oeCk9bSec48nZUjbZRg6cdbdhGTgSkiTP8Yt+u5PnVVc2vWSwRA+bvA4IMDAMIEKJzLmklQclzjTQS8FaR1SVhtgdt82Sbv6vZHgBaYJdtCFKd0dzVYrK+KPPbo+Z3VPthN5A3l+7zIMfaYaObJ0OY3zjGyvjNSrcvDaQ0+GR54QYHxkJYZkK5VXOYiD2uB/ap3yTxJRa0za7og85ZL3sQ5nfQCDW+fJHR7Z53C3grCl1OZFXj18vzm+u+TioVj0Le/2wPdbIHr5+n8fRKBE9nHQS80R7e3mFpfrNcW81oxgwzxcYDwBnj/BmPXZ7fI8j2kChVBqv5YytHNeCNpQ8kzS+qBUfagWfF/vYAZA85M375c8pZn+YGbpgxKJQ9ZHmBdiRndCitCmUPPvEC79g0rdH89pjtYSEaVKEOfDExot2yPYitEMdYGb/E/IZFLgpdTQljilzA25aq7nl+cz5Bst+tGMYg2UM8KKZZqjPp0INAJ2AoeTGRboapTXVmn6/ZTho76nshKnl++2jYhYM7BbyFFdeO6Ddq0nDxwL92mnTVTvNLLgqnj0zqZA9DYmw6eVFJM6WZ5te0kQebuGfsZA99Zn5H1OigCdYYfr0xv8b4VV1TnTnmF/aYkAE1RS7Mfsv8sgWnV7DGGgv9G0fpnJOB9INLeYzkyA9449VF+bUTWdMOmN/w2sL3hPdPHnhLv9WPbA+jGnjZDfz5AKP7Ls0F3TS/4iWOY6yM3yw3mjwb8Fb2E0opA8SzPdgAl6RqxEbT1ISr7ySe59cGxVRkD/GBpeMxQNKhB4FQV920OINNhRXq8WzAm47KHsIKb/007MLBndyvrX4yv54utip7iMkswomTG7Y8Ml7B95jQ+zI02UOhsXTCDzYykiZ3DH/v+TMOI/SPBLHAu1FDp3w+7aT5wspKwALZQ4z5VSHzC9ffiEQw2UHcs+D7+DZgQLIH7Ywr+q2CudqBsr9Q5h87vzgNeR68T+0yWwrgjJiqd4nn+fXnHsXIGSAW8GY+k1ylqVdlIRqOLrivf5lYRgXWlhHmtzHGyvg91MnL8q7mb5dDtMr8FlpXVuaxgDc+uGRs8PbZoXh+YMsOBR12qpOX3/PbPz3j6rCP6iS40BHmVG0qNaHvZUWkz2iTNaIVDXhzD/nAdBY1IOeKmaAENrlf5xLwprXGdCevbD80k9nPoc4RgGWaO8F99c7NPmeM+fUD3txCoZMX0Ul6roP8dCePfndqJsOSFrlI2bsN37jwZQ+mje0ar47WGoez6n3shoWS7cHoU5vrybmXJGXpIGPgVdAAkj2Y73PvCd0qJ3vwPSu2veWBU50ch7P48+8V9GyWtBJnqEbmEGobdWFPIhUYpibgzV+AudLNzuj3yxu7NtHv2lzIiXmnnPHvsj0AVe/WTFZgaiavjEXD8jwWRXzcmQvCqn/9kj0M07jMawgSV2K9GjcyqmPGfGNsjN+71+7EQxv2QKlIoEpRVIpc8Mh7L0diTcCbV+SCbQfIaIb3Pcr2APgDyaY9U3jb51YCACZa7vF8beVGvPUzD9i/F9Oq9Ujw4W8/gXPfcV3fznfrmu32c1YUfsBbF4Pxyw8+C4AXMTHbSWOX5dqbiAlcCrFl3zR++9/dMw4nmE17pnDuO67DjY9ubXQtP/2Pt3t/84C3Xg3rP/jCQ7j4z2/AP33nKbvtoQ17cNfaXfbv/3TVrXai4u9OO0itNpvsoa7IBb2jf3X9Y/ijLz3snePe9btw/p9dj6+Uz6EpPnrbWlz85zfg/D+7Hr/5iXvt9jVb9+PG1dsAoGSu48wv16oa2YPvZg4n2N/97IO46J034OFn9zRu4ze/v9l+/uqDG3u4uuGhkzsXfVPDSDMiwNetVvumTWdGsgfEsj2oiuzh5KOW2HPcVD5PwL2n1z28GRe90zz/dTsONmr3mq37ce47rsO963d52790v+l7PGeu07474zMPmF+eLpO/llnhFhSAe2++utL0gSVt513isoduml86/8Mb95a/US8FeGTjXlz6rhvw/L+4AT/3/77nXeuyiZb9/PTOZvdtLnjDv9yJi//8Blz70Ca7bWM5Dp77juvw2r+7tfG5MibxAPozh37p/mdx/p9djwee2X3E52qCK6/6Lt70r3dVtnM2/xc/6u9/7zce7XrOLXunce47rsOKVVv608gFgrExfp/ZdQgA8OYfOpfl5zRuHh4kwAPewmwPfOCyrAMLlLOqh2AAUkwr7Gd7qBq/m/dO2c9nn7DMfl6/w7T/r37uhTjtmMmBpsRaSPj7m9YA6F8Q1MHDjsns5Bp5YJiF+PnLzwQALG2bySCs5EYau0I7RpODjKRzTlxW2ReyMA8/ayasL9y3obb9/D5s2jPl7SMPR5okPTO/T5WGwbodB+y2DbtNn/zL/3Kp3bZvqlO23bmkW0niaacrAW+M+zVGFDFa7phc+7IRMjQIa7ebdt351M6erosbPDc95oyjZ8t7999eepYpRmOzPYR5VJXHolHbrU4zYN9vKX/j2d3+s2mKSZa3dpRAeudWEi/ZHgP3DnjVMwPb+T0/cyle/twTAfgV3sKYjHJUB+D62P945XPx5z91ibcNiC9kN+9p9kxuW7MDgDGcOY5b1sbyiRQTrSQa42H+58U8yPil+cV/fzvlgjmsJLi8NDxPPWay/H59nt8w28Pl5xwPwBg8gOufVAmPL9ae3T2FTq5x1glLKwuDi08/2n7etGe6/mYdIZ7Ysh+Ab2CvfMYtHB8r9zeBzf1cenP6EV9xe0mWDHIBwLF2+0HcvW5XZXuhgUtOP8Yew0FzGq92yPFIuRD6/L3188pixNgYvzTZv+jMYx3zW/CUTNWANx0MTnzgopW9TbMDfwDiMIaxY7AAM9C5EqhVt+Zxy9pB8INJoP+mHzy7khJH0D/XjleJLHCvxxipH73gJLzozGOjpUfp/1zrSu5nQrtk9y845Sj86AUn+W2Zgzute+ngwsgQ5sD82gT7keCrV5x/UuV4HpTTbvmVDKvZHvw2uqIFflnwViRg8EhRx/7Q9pedd2LJZpJXpyppokmUZ3uwbF1wn+mrvbiNs1zj1GOW4OLTjh7ZQFfKod5u9aL5dYahHzDs7tlpx0ziV3/4XGv0W9kDNDMezbHGeKT2mDaccvQkfvNHzsNEKwy67H9gUKGBK849ASljoLmBDwR9OiRXwjRkhVlMkcyGmqcBPL80dOh7Xp7foH8Cjjk/9Zgl9jh+zZOtqkyHnuM5JyyvBCGGDPWgkEa083M1WundIY9qP+IruC0xnygKM0b84svOrsxT1laJkC/jjPExfplOimt+s8IfgPyAN3jbeI5EGjTagZYKMINTmOfX5nbksgemYXTtNPsn0qRa7ccGUS3cJOODwiCyF2SFX3QiNuiaPLZO51gJwklMUnkN3xtAaDNmhganpUGGgV5A92HZRFrJZZkXpj1hEv5G5839fm/aV00nZTWXVo+ZVCoZhgahZ/wyA5IbM7nWXsGCEHOdx+p0f3xx22bZMbT2JU38vc/yaraHJplbmrTRlInunbEfFmbKa2+XzG8TTww3/vy4CHdM+Mh5tocw7oIblmH1t3YYdMnS2LltRzaGFIUxPJMETB4He410PdQKy1yzbA/82mkxRfeAFgVaa28hzXXn3IvJz82DAoEgN3W5aDG/WZ2LlrSSytjH83EPUoLHM6kQ5urlo3dnCRm/fZhDw8xRg0S36y5KSRu9fxz096iOHfOFsTF++WCoPAM3zvwWWjO9Fsr/nRHLjWnA1ydW0iElyrrPY9kevCAr5jbnXZUn0E+VEuM3QN+Y3yCdnJtg4ymY0gRlQFfJjAaLIlowFQWixi9NSqbssPnsgk/CyXj2a+wW1JGX2va5ML+xyki8zKr7fboPrtRvWMmwu+zBSQe4MZPPwvzO1XCpzanNniNf3MQ0lU7z66QZdXl+6a9eFmukF+fyi1GDDc6ypYqbGL/mf5I92O+wr6rgnXHljasl5nleaMrgo5jx5+v3C/ue2W1HOIaQAeIZ8kXYRieTqWp+g5zX5YKCrsEzcL0qbr6UwmN+y+Pa1vj2z2XTqUUWa5wpDeebQmtblnqQfdLNt7qyrVdUmN8+TBl0r4chQ+xmvOaFNkH0QT8336t67QRjZfw6Ro5XeONMLP8/y1m2B8YKF8HLaKNoFdf8huWNIzqvhOX5jQQDLWkllZyPbbZ6F82vj35F3IbMBz2vdpJE77kr3+sbh7ZoSmp04mEGEIIzllxKoyMJyKDfjwWw5CVbk6a9Z3twzLY/OQPVdG1AyQQGmQ86NYNwtZ+TpcBZsniqOMJcDZd6ZtZdmyd7CJg1/i522DXH3u25tpfc3+2keTDZsGE1vzVyjxi48ZeoavEHwDfyAB7wxmUPTnrmWHi/qEw79aU3Ueb3CL1HZIDwMsXh/MIX0ZrNBXQdobevlSrGdjtypa4PhppfOl2ooy+CPhsG1QE+UxremrzQNuBukIwilxQR5uzlYXMr0B+DlZ7rMN7LbvOB1pRZp8r8Oq9dvI3jakmMjfHLGTkaUHOtbZ3zRqnOEi578F2+XPMburh5YnGP+bUvTtWgCFfbnbyISiwEBv0agP1Ssi5tTCuNLzioiINLmh9hfovCqwzGYY2lRFlWa7I9d0aF2mHZ42DSmGu2h4wxuoTwWr3jWHaLsJJhtzy/vNpiwqi8vHCyn2j75mi41JYSZ4vbVuoXJvAWtkx/z/P8umDWGma5h2dL7u9e0ogNG9TGGINYB0/2kLBcteyY0FtCf2ntAuPoEKWU/a4JFnP9pZ1Wgy7pPSMc6b2lIjJeFTdr4DOSpDw+LG8ckhq2KBMja8zvBEWU2O+Fml+7eKcAXBbTQtfMGXufiDGfl7TSKPO7JCKV6Dd4Ln63bW7PiV8P0B+pAo3pw0gn1i01W641ksTIJSt1A5hkq9u4P5ojy+AwNsav1SfyIhfaZXSopDoreJELZ3SGyaS9KjvlbxVFVRdYLW8cr/BGVYjaqc/8djyjYDhuloWEMKftXBEad7x/xDRXSand7jDDjrtbyZ0bTkoEK2VhOymNUJ1BH2OQXZv9dD5+xbrCy/bQi3auwybL8Le4HGGGMeBO0uH38255fmeY0cwXlKRXrm3fHCefWmaWLW657MEsYtxxiWIsGpNmkBFY55HoSfObE6uaHHFQ1qCQ5QHz2+D6vGwPkTSSQMT4tcyv6zcuBzALSC4Kz1PQCrwdWaG9dF3AkRtxtLjk47OVdjDNb6httprfJAwkM++CZWs174Pu2sI0cfye0SW1mYeSn8t5FapGnGVK2xHNr3bygUEuyOj95M9mrkYrv54jOQ8HPbth5Prtdp/pubeSpGLkSmXYOMbG+M1yCkZQrMIbz+UbBAQUcdmDc8MEgU3KH5z42txMkOZzNM9vjewhlvCc2iiaXx8DY37LP1tpdQIAnHabM57c3UrGr3FHVn/Peg7YPhfwVp8VoQ68YhP/G4DVHVP7erll1JZYiVif+XWGYDtkQSO6YSAMeHNBY35wkEbaZbSa66A+W7aHVuLnrjV6ft/l7Cq8FS6AcbZsD3PQ/LbnEKg4LJB2tBVIXLqBB4P51TPdMeE74zS/bny2zC/88sZcjhNKRrK8qMgejljzW2ibR94u2iq65EjBI4opUaqi+W0lkWwPYUwJk9yFsQV0PhdE6hu/JpA6TsSQ4TlREjG8bXmhXQGYAfVJSkNK7bS/PeeAN2J++y97GEYwGX/3Q+LCBFvGawf4c1q1nf1KE7rQMDbGb6dwTBRP+G0rcpV3whoGRTXbgxfwFk78Kszz636b57D08vxGKrzZASfQ/HYCza8Yvz76ZRRkwaBhI7hVPL1cWk4cXPbA3a0klQl1eoRY+pnJiGQBaDboU/+hc3gV47QxzOeiU7OShUhATNvT/DLm10o6/H5ezfbgD8424C0wFNLY6iFoX6/doLaUOFvcctbQaH7dcbxf+LIHcgl3N66bttG2Y2RlD2Up3h4yAPBgMG9MY/2h8sSVOyRMRWlkD2whEjK/AasZBrw1lc7UdcPuAW9VzW+YBi2a7SFV1jh2mt9Qd+4zv7x91nPF8o6b48prZn0L8BctVabUnVdz2cOADD+fveTM79zOZzMple3uxxRK93oYjKqnWQ9uAnkd2pFFd0zKwjGuWSDGxvjNcpcqiTosLxVIzC9fyYXVumzKGa0rwT58n9ahazReGc65CGM6yiTCAjgX+Zj211r0M8/vEubOcxNaXGuWKEov4zSx3N2allKZMBCFEMtgsLRG89vEoHDZHvxgFK2NlyNJHPPbC/MRZrOg9pA3Jfx9bgiGbERF9uBN+IX3nnJDIXb/7PcKd/97Qd3Azxe3LcYahuWNedpBvsB2OudQ34zo9tna2C5Z1X6VZO03KtrRJrIH5gXzq2C6Y8JnzvWvljm2xiMLeCv8AMlW4ucfzor+M795ucD1NL+B99Bjacv/eTBcHhgtXKan2Tn5XeFGc2gY03Yneyjb6kl1aogY64WsamRzzcfJwfRJvtjnht9cNb/0DtsiF32YRG1/G8Ki1Mu0ExIjpdchLIVNx0606hfj4yqFmNX4VUqdpZS6RSm1Wim1Sin1tnL7CUqpbyul1pT/Hz/45s4dXIPoVr+6wvyaaF0/4M0WuWCSiDDYh6eQ0QgmSFUNgOCrND8KmQe8ufaHla9E8+ujn3l+lzLWNC/d3Jy95yD5CtezcndrqlQpn9BVFgu+ZIBQl+fXud7r21+VPZDR5tozF1ddGNAH+MZe+PvcUxGyERXZQ/B9VzjGL9vKddGV9jGjuxdkeRFl8vxsD0zzGyxsedpBvsC27Hpwj62GsZd7X7LoYa7aUQLpnUOJSzfwgK+EBRPzQiLhI6c/Y0Uu/Dy/heeRaAdR8FmM+W1oBNS9fyQ5UGyhHAa1KfgsLeD6Ey+GRG1spW4mcak0fQOX/15RBj65NpXMr80R72QjdM1+tgd/gcBJmtwzQAev+eVdiLdrrnMfjT8Tfczz64qFDIH5DcZeDvKMxQJtO0ziE5snR3VMGTSaML8ZgD/QWj8fwMsB/E+l1CUA3gHgJq31BQBuKv8eWXANItc95WVnSLnBkhg3Z5imhr6Xa41O7gc28QFK62oexkrqG6XiqzT2gnqa38LP9iCyBx/9zPPLNbdFYQYVE4ldPZ7y/PLADG7QUjaA0F3uvu+zOgCw1Aa8Bcxvg0GfBkWa2G0Ami03rKxR2nQSIdYYqDIKYeGJjid7KJnfoJ+Hhp8O+nmL6aBpX17MJnuoapKbgFdl45hhi1vOGoYMvi974G33nVcpQgAAIABJREFUteB0nY4Z7y3bAzG/I6v5LRn7UOLSDZwISFm2h6LwpQAcNuCNMb/2eSififMD3nzmdyYvKqWimy4G6xbalGOXZwWKVXELJRH1sgc/24PHJtfI6qoBb6XxG5A0YbaHGBFD6QrDIDn6bDW/AzL8YilAw3b0Asf89s/4dcVCBj8fxwqQEGzAWyRrh2f8Rto5yAp9o4xZjV+t9Wat9QPl5/0AVgM4A8B/AfDJ8rBPAvjZQTWyH6ikUIJfxY1PgJSnMdRrWa1w4VyR9jvMiAldozyBu5NSdBenmwpvvP2s8pVofivom+a34KtkE3BhXPvxwdLJHpxR47tblT1vTPPLQXpFSsEUDlRNrpHSOYV5fml8I7cstakJ6gImuLHntjEGPGB+yTAN3Wyhh8Ml5GcTflHN+eq1sYZVng1ZUXhMvbsOY7wrFebO9PX8nHXjbDcATy4B+IuNnvP8Ur7hEfX4ONlDdUyrA5ctcGmYhq/j5fCyPVSYX7BUZ/5zbSUR5rcie+j9feCgPNpewFsYN6JcG10wnNvnyx502Qfpmvn9cb8bVsfj96yS6ozmvvJnZkjzW+Mub6WqohOmax0m8+vJHuYa8BZofvsxZdA5hp3tIfw9yoYTppUsyjksJEM4hpGmbRTRk+ZXKXUugJcAuBvAqVrrzYAxkAGc0u/G9ROdXKPd8o1YrZ0BwA0TyoPKa88DfODQFbcafb3Q5RDlTZAKj27eh10HZ5Az9y1VyLl3/W4AwCMb9+Jbq7awfb7rgss2QtYuLzT+7sYn8NCGPb3fnDlg/3QHH//eunmNFA0DpULsPjiDD3xzNW5fs6PR+fZNd3Dj6m3WcLzzqZ1WJ1u34CCjZO9UB09u24/vPLHd6xcuuCwe8BZDLIp633QHH1rxBADgjqd2AgA+ecd6fOCbq7HzwGF7HN2HZeVgd/0jpj/xlG29an5DFsF+DhaAAPDdJ7bhwysex42rt7JsD0xDXWh84nvrve/wCm8eewoXwMTfm2gby3bd8vh27J3qNLquotB4YuuBqPSEa0YnUq75DWQPSeBqD4Ks+MTy+fs2sPP3FmxI7Fw1A4jGp+5cjz2HZhqfbxAgCUwvVb94JgRft6orcRYEL9tDQE7wbAmdQtuSvYAxeNbtOIi//dZjOJzlyIrCBnIRyGB4ctt+vPfaR/Gurz3ivVv0u5+6c330esjwTDz9cmCgl5pfnsmAiBMVjDFZuYAMNb86IFdUeO/YPSvYew+4zBI0z9y2ZgcmvEVL8C4y45vGi8e27MOabQe8st6DQK79thBovuwVLtuDGRv/5obHcMMjm+3++5/ejfd941Fs2Tvtfe+L923AG//lTty9dmflnNTfPnnn0327D09u248PfetxTM3k3nbOsP/jLU/iwOHMa0eaOMPeEg3kCSzntJtXb/PO+fWHNuHrD22KtqMoNP7+pjX4/L3PHOEVjSYaG79KqaMAXAPg7VrrfT187y1KqfuUUvdt3759Lm3sC8wq2l/9mqA2s99jfkvZA9dJ0nbABcrxQB9vgNK+Mb1m634AwB98YSWywk3ixy5rAwC27zcD7E/9w+1YWRqv7ZbvAuNMc5gPEgDW7TiAv7txDX7/Cyt7vDNzw3uufRTvufZR3NrQsBwEdh50E35ssr11zXZcfetavOvrjzQ6391rdwEAnnPcUgDA7kMz5aCiogsOAHjeKcvxorOOAwB88b5nsedQBwdn3KBE/SDLi0joOnDZmcfhjOOW4jUvOA2vf8mZeM6xk7jkOceY77Dfu+upndaoo9Lb7/r6Klx961rcusa9V/SdC045GgBwy2NmsKNiLgnL9tCUsQkZM/fZsWtXnGMk//9+1zP4+5ufBACccvQSAH61s417pjDV8Qd1LvrtMKMzSfyAt3DxwANfeLvufKo6ScWwfudBAMCLz66GK2RMu809N92qa4VtbAeu9r/91uPR9s6GTlk9LU2UfY6E72/ci7/42ir84Rcfbny+QYAkMGERhW6gTCpWU2/vsW/QcnDmlzPHtM9qxAsNvqa5/JzjMTWT4//e8hQe2bjXehiee9JyewwZCl+8/1l87Hvr8Mk7n8bvf+Eh7/d3H+pg6z4zXscKP6SJkULF8rp77dfu+gmp8osXdUqpmyVW+P0JZHWugqg/zPz85Wfi9GMn8dyTj7K/AQD3rNuFQ+U4Nd1x6QW9hW7pyXBkkfmN9177KABg9eZ9lcp5/USd7GH3wbkt9MIKb/c/vRu//e8P2P0fuWkNPnr7OrswIPzRlx7GPet24ReuvqtyTt7Pn9h6YE7tCvH+61bjH295Eg9u8I18/lufuvNp3P+020/e5vD9o1t48WlmPrieGfsA8MEbHsPKZ4zNEXpCNu6Zwoe//QT++Jrv9+GqRg+NjF+lVBvG8P2M1vrL5eatSqnTy/2nA9gW+67W+mqt9RVa6ytOPvnkfrR5TuA1z7m4n16wNHBV84A3FbAQtGrnTBR9ou/xAYheuj1THU8nuaSV4rKzjqsE3LQiTGMo2wgjXg+X7u5nd081vCNHhj2HjCF2ODRkhghe2CJmTND+cAU92/n+6DUX4VUXnQwFF8HNq+rRvX/7T1yAZRMt/Mxlz8HRS1qYyQskCnjD5WfZc9KiqpPHi1y84Ixj8b13vBo/dtEpuPKSU3HHn/w4Ljn9mPI7vkYRAF7+3BOwpOW70zuZu3bSsJ930nK85tJT3XarNedpuJoxFWEQjNvuDNUPveGyyvf+8DUXAYCXQJ/66W/+yHn2OF/ewz0qftR8yPx2gonafm56XeV3fuGKs/CWVz7Xq/jFxwvPqAqMi26R9rw4hrka4M0/dA7OOG5pb7KHUvKUqqr3gfrs7nlmfomx52kkZwNn8/nikqe1qytpTfIyAPaBKCYpCPvL23/iQlz9K5cDMMaeOXeCm//wVVj/1z+J5ROpfVZ8XNl10Gd+Z7wqcRHj18YHuGuh6wMYSRJpYxIYzVobzxL/Dp2zLqDaBAu6fa99wem4809+HOefUhq/PDNLOW787EvOqLjLzWcj4Qp1wkTWkBxnUMyvL3twfzT1oIXgweQxkGSsl+wHoUa7H9heehtC5xDNO39UjqvcBiB7JJYZBAAuPv1ovPLCkxEOOzNZgZ/7gTPwvJOXI8ThPhWOGlU0yfagAPwbgNVa6w+zXV8H8Kvl518F8LX+N69/oCTQADxxf5hrEWABb8E+PrDzyRHwBzWNQJNV3uVUqYpOkusaCTTgeCxA7pjfWOaBcYzYjOVH9vb3yEjwoDCaUApNmkSeHsgc5+k7U4WZzBTF4BM2MT5NNL8Emx0hwri20wQaofygughIEz9Dhe3LvApXY9mDOc64/5mRyTSuMSPF5vllsocscu9I2kD6NBecY/ZS+8OAt9BFOxFhr7peF7tXoaFqouaZO53pLb2At4TnX/XHhHZwv4gZbkXkC91A+mmeEWHUQBKY0EXeDTw4K0ngBYnRvQ+DEd07pNk2t48HSIZ6YeqHtBiuBMRRcGiXsTQslMFBv8lLXlvvYcL7dOm90X4blYoVUaqr8OZ+l49NQSxcBfx7bhxT0QUxeT+SYEHjJH5VaU8/Ucf8cplUb+fzmd869HI9YVB6P0CnCd/1sBotvw+U3zkJ3j+esSpWJIfkXbyQT7+vZ1TRhPl9BYBfAfBqpdTK8t9/BvDXAK5USq0BcGX598iCr7K5uN9Gw0YC3sJsDzRQFZoqdvGBC2xftQoUYAyhUCcZVvUBTNEApaovFrXbDJL+9S32jhpDLCE7R6+MhE1flyQu3V3Bi1zo8rzVPtNKE8so+UFPzpBtSljURewCZeW/QkcNY8CP7uYaQr6Qo37UPMCHguh8lodndODXTKB+zhPoh0EnAKvKFRjGii0MSXvNEebHnrT5kZtNXvzdp0IlmhlgZGzzdsSqazmjzTcuTHEMnu2hnIQCOcRsoEwvdYVWRgEUYEb3rEksACckuDdLw8+Ly8ENrzAVJW03v4/KYon6IcluKqnQyi93ezZhiWQObdm3quyBmsLnkLCNXPbA80y777hr9Bdg7j3XQR8MwX/PjWNJtCgLzVWh8W0rzpWL30HNPR7zy971ub4DncjYE0Mv8wafo/u1CAhT4RHoTx54z/dR4Kh/DrOfAnfDhR29t2H5byA+rywmtGY7QGt9O+oXkz/e3+YMDnnhBgxefz7UZAEu4K0aUGH2m4HLlzbQuXVRXX3zPMFcvkDnDDu5ye3oM79Z7gI4UlWdXMYxYnM25rfXe5IxtoWCSGJVm+ykwQy+dqIwXU6qoX4cMIZdY+aXyQRs2+xkWDK/NUFoGTPouPeAswYxZrkbbO7giRS7D7lgMp7RIZYuzGZ7YOmvwnRDgOPwwkUFXxjGKryFpaiXTqTYN501vy4mebKVycoJn48X5l10xkWo+a1zOYdscl4yw2HmgdnQyYrS/Y2K3GlUYEowO5awCUOdFyyYODDgCKFHwQW8xTS/ypMGhGn4qB+S8VspgmGzkdS3nRtGYeR8Xi6UuTwlLHLBNb90PIHPBWERJaXAI94qXke7yxxd237edzm77LxB/uK2nSYs24NvyBe6NH4HNPd4RS76kefXjj1pdD8xqVxCNdtv+VXo+mz8Br8dEnU6+I5CEHsEZycoIFokh0qnh5lpgDALVYE0id+3hYqxqfBG0ZAA0zwWhWcsEKiMsRtc6X+34qpOguXvgCq8VVnhtJwM+aCrlKpoe0xuR9/AnckLlgKqGnw1jrKHOt0roVdGggY9cjWa/LYuPRjdcu4uJLTShE2qfpELgJjfZsavkwlUXaxU9jqLGMYAY3hLY4kmEB7wFmOWu4GOW9pOA7a1wARldIiwKdRffY29Y7QINlVYHjC/8NmuMCNZ6Bbtlsg9Bj6ZtFs+G87Hi1BL6i9sXftD5jd0JdJCqt1jvl6TuaC+0MoogDJdhDlpu4FLxxLmzdIs3iINHrpi42xojCnzZXbuOPNLi1TurWi33EKl27MJpTaV60nMwpkHQQIRza/25R20j65pJvfHGK9QUoVcYZII3d3DxH+Pv4vtJML8BtkmYhmGQmlPP0HxC4nyx7i5Zhiid3Ei4qUCEH3+s3nHPGlinxjwnI0nHPadSKt5irU2z5Zel3AhmShEi+RQXvWJNCZ7iM8xiwVjY/zmbDDkruhQ2kD7c12f6oykDTHNb6HjrlGAyx66M7/EoPD+xo3mcB8wuETjowz+Qsauf67MLyV2J4Y/SXxdHXcXElqpslpCzyhmLG4z05dp0oOJyOxLyvLa8UmYL+Y4A+X6eZxZ7gY6brKdGjacuYdDdpcjzPPbKXTXCSismqg481tUjZnMuz+uaEHT68rY+90K7gnP3EDpqYDqotczSDW8QKTQlVgUzP3Yw2RCQYDkjeCT/6i4I0k7aL1jDTW/HvPLJv2YHA1gFd40n9idZ84tUqo5gmncjb2n7cTlUO6WvaBOh0rXQwtlapsz0MmL4LaHfZoTIaF3SbFzaUS+x/pE03GGgvfI7W1+1w9ubafKy2HPr0XrqrSnn6CmTLZThB6UuaBTmMDRunzhTvbS3OgbBPNrvXVFtX8BjPll94E0v1xWw/8n0iNWdKed1EsiCKNaXOdIMDbGb8EmLRpQOnlhGTE/6pZSnfkdytf11mt+NfwBiD6nytdJAv5qn5AmyhvsAN/QiLk/h8/8zv+k263Wed227ufjzK8xNHi2B57PlY4jtJMEh6zsgS1uvIC3Zu3gngnbNqaH1cE+P6iqdOWXDJQNnmCMMA9AawIue+Dt4tXRogFvpPllGnun+XUuNKdzdFH4gM+4xvL8hm45al/TgdoZWE7zyMtBe0YVn0xYM7jhoRELeAuZ39LQathGHgSYKt8IAUaDkaEKgK2EZ3uYvV18geEFbcFJzsJnzmUDTpZG+8JKZ/7vkbE7FXlPW6my0f6+geCfI9TEhtdjsj1UU02FGmaNap/mKdJ4gCt9zxr2RTXgjX7HeB3RCI4B57IH35hrJW5BY/XLdL1alxKeQRm/5vfC7DZztbWtjKNmIHayl+ZGX10u4iOBLfYSdL4wLSvfTYvybprfMC0d3d92mpSSiHqbYjHKKsfH+GX6qjZ70WPMb1oGX4QR5txlxROxA9VAhlAXaH4j8XSStC+cv8jg5pt55auY+3NQA9AoYyYwfkKQMdWUKeABV0q5RQ6lL7ITU8R1324pTMeiyJmXoanmN5Z2iOeoLELm1zOSHTvAjTYv4I0FoDUB3WcqnMGr2dlsD5EJhdhgrrHnGTUIdYGEXPcey/YQMjS8Ml8TeMxvMPkX7P02C1HzWSPI5MIMj4rsIUkqjBVle2icY5n1SWuE1Ggh5wucsa9zkccQZtRwWkd3v6v9ioxHLktzrCpnXKuyh1k0v7Y0dxfmt4thZBZMfgAa97gAVQKlqh8n9tmXPdB4ZK49VmLbLRxUQ+6XLwKc7MEfU/30dcRiu2sYrOzBnHeynfoelDnLHrQlNjh0MP70YvRprW38Qr/yHYd9h2DjNlJ6Hv53EsXjklz7AJSxBj7z27FkT1KTCaK5/GMhYnyMXz1btge/Khdpfj1NVnlIXujK4GoP084FQbCaNOVcSXxf7GUONb9e5StVTXlEnbOpy2sxoE73SuhEBrMm5+PBYkVhniXPQxoGo9DnqU7VnWoD3vKiMSPjilBUme12atpVV+edS3V4JgK33Q9AawJqx9J2y/ubV0FTSlUMFdrHmWx6JtyQpVaEml+PcS2q2R7CsuBL29XKeN1ALHkrUZXJnwfYeanOdLV0Oddbenl+mUtYs0VxjGWpg9cnI6wq3c/5fO85Y9+L5pcvaML76CZ6f4qysRW6aowpxYtcVDNFEHkwPRPR/LKUXd1lD+798lLjEQud+AvlMCMFD4wOi1zwSm2htIpfWxhsHQYLNh1n+CIgKRfL4ZjqZ5sIjV/0rF/vBdQHKsxvhRFtutgtykWkf4PCFJZZxONW28bCGb/9ug98Mc1BYyHp4MNUZ4lipagD3XBs0c0XWHHZA7c/hPldsOB5H7mmMmNGAcEZv3W6Xh0JOnCDvlmZV/dp7VxJfF/s3TVGsfubV74KKwEBi7NzzoYwMrmyP+LG6nq+3EkGSIttsz2wqnqhNpU+x9ypvJpg04C3mIsqK4zxnCZlwBvbNxNbzSe+btyXPVSN626g31oaML9G9uC7jjmsJIIWAJmTPfBbYZkXWoh6bFfZfh1hfgPd80QrqUzg3WANcc78RjS/YOyu1n7gXSXVGb9+xorxSSjGstSBaz95wC2/7vlGxzPQzbYm7FyhmRwgYVX04PpERfMbeN98WZqf7SEkjSvML4/zSDnzW39PZ+xCMPU8JzYYSZHWvtxupRm0kEJ5jW5sIXA5Wyit4plPQs+iCuaQxsZvsAgIswFQZqKUzW2An+qsV/16L6DFaUXzW6OFnQ22WEzQMaj9rshJc6Ov0E7C1a852ElmdLDd/E/91md+zdhTTYvnFsftyvN171gsE0RdLvnFgrExfrV2hgixVJ28YNoyPzcrBbzFZA+FrrrV6BPJHsJE+KYN2mRtCALeYtGrYf5fXvmKa8rs/kXYOWdDLCCMI7MTSUNjiDEdxN6QEcTzkIYMJWCMzelIIA0vN9lU80vnC11UlH9YQ3dhfksDPg1kD8z9ygPQmqBjJ3w/S0SW+16MMOjNLjaJGSlcu/m7EzK/vJIhsRt5gQrzG8o9Wla71qPmN61mwDBGrjM8CIWOV9eyKYUUvx/KY5IBc//nJntQdoHuMb8joPnN2PsQpsXqBvKqAGE2g6qkgeAcbFUCQgG1BiLA8/zG3l/H/HaXPZh9dUFYxKBWsj0EfanQsJlkCJzBDaVV4f0JNb/2umtbXkVo/IbZAKiwUqj5JZh0cs31672CTruk5ecSDrtWY1kbpeNT4XZ/0dOLu79gsocw9d1cwYu9hL8FuL7Ei+sAKOcteNu45yFMvehSeybxTBDC/C4O5IFGl1aslvn1jFXDQoSJ9R2Dq+vZXVTdUpwxzirGbzx9EV/NVypfRTW/i69zzobZ8/xWB7Pu53PPhoLFSJfnT0x+YJb5XMP8sv7TVItH5wvTKrXKClqFDnP71ml+a5hfJvtpAhvw1vYZDjI4eZtj4GmUrPHL7kuoubMGtfIZjDBBhL/4MakAY4N47XUxyVOYAYMvVhT8AJKY4UGvI9/HjVxX7CDOstS2kTP5pKcNFsXzDc7Yk/HfRPPrlzf2q5SFke0EZSf3WNaDQPMb9Beb5zeizefu+27PxkqAJnyjj36XgmPNtogu2UoGXCYZAn9fK3l+4Wt+a3NN6zlofm0xmqCITVlYKZTbcNlDLwu5XuEC3lJ0cl1ZyBOaSoBN0HhV80vtt9keZpHTcRRaY0m7t/F0NoRxGvy3gGrAW6zvFcE+pci74e4jXW87rWaCAKr678WGsTF+Q6aWVqycKSOQvjPmlgLMyxfq++yAUFQNY8cK+zpJ871qnl/+Ha11pfIVZyEJVG+9rh631rqxNmqhYCbP7efYALzr4AwAeANnN/DsBWTU0CTKq+q5SnDB5Bm47QFfTlOXYieGsHLSrkMzloEOU5152R483XKEgVJVFz9h76GO7UccxGhMTviaWjI43bXGJ91Ynl9+JD2acFGRKGWprHh5Y5/9pomNnjtHzBjjmt8wAwYfLzy9JaqGR1449Z2v+XVGLn0/LQ302GSyb7pTeUf9MrflpGclGNpeKxkyTVEUGpv3TuHQTBbdv3eqE90eg/WEsGwP4eu248Bha3QS+DPlC3rDpJtj0mBBZY1f+Bk5gDJAkjwFOlbe2Py9r7y2ULJzaCbH1EzuvRfhfSWDYVm75adatB4N1yaaQ8z1Ufvd/ckjc4jLKOOPJaFhHy7AuGSk6Rp7Oqh0lyYKO9m7s3868/odDUf89DH9utYaW/dN21Rqc4U1fkvjMizZGx4X+/7+adePbfaKMHagvDA6thejb+eBGVs0I2YoHzycYeeB6pgKmPc9fCeo3UD1HQqZ36qu3LdR+DlIbsXbyRdYocwuvJ7pHseXhYDxMX6LSDBKris6GqAMZiiqQW2KDQJhQEWoReP7LnnOMQCAoyZbFZ1koqov84nLJzz3WBgFnyo/4O2BZ3bjIzetsX9v2HWocv3/6apbccm7bqi/QQsQX35go/0cMt8bdh3C9Y9ssX83YaIoIAJwbApN0KlyGqxYhTdu+C2baLHt7pimml8Anotq275pfPmBjdajYBZRcb0zD8jxos5Je5jEU6mt33EQL/nLFXjp+2/ENx7e5LXldz7zAABUsimEBVv4dYfXYn5P27aeeNSE3f9nX3nE7A8WFT7jaoyZy846jl03Z2hMQKgG8JUHN2Lrvmm7b+32A3jen34T1z282WsXfZ9rfume8He/EvDGDY/EVQKkNhM4C52zCSpWFWvbvmm86N0r8Bdff8Tb/p3HtwEweZHDie1fb1uL9123GgCwatM+9IK/un41fuivbsYrP3hLZWH4yTvW47L3rMA963Y1Otctj28HYDKexFzkK1ZtwRXvuxGv+tAt3vd4tgfKsGOgceoxSwAAzz1pufcdV+FNV43AxGfDKuWNy9+6Z725LspeAgDLJ1p4bMt+XHnVdz2DZ+32g945MrYQ5O/dC9+9wlwH05R6ueJDza92mWRs+9k9yELCI/E1v3XZHkyu6WY4FDDgWmt84+HN2LhnCtv3H8bmvdNm/KNA70Ba8aIzj43q1z/2vfV42Qduwq9/4p6GLYnDBbz5405IFtXJHn7vsw/ihe9egYOHzQKvk/sV6whZrvHU9gO2PH2Y7o3jwWd228/3rNuFx7bst880nIOKQuOl778Rl7/vRtzx5A5v355DM3jRu1fgRz94c6Xd1ltXMfLN/2Q/uMWQ+Z+CLc22wDBOUFng3/xYOba0korMzhzn/v7Tr3y/0s6FjvExfnVQyKJk1lwVGX8wgY5rssy5IgOvZSSqWrR3/fSlAIDzTlxe0UlSVgHADM4nLp/A/3nji92AU1TTsaWpX+Ft614z0V9wylEAgO2Rleaabe7lXiw4aokxto6ebFUWENtKBnP5RPP0V34hEVjNr5nQHLPbKRwbR3jrq55nP//A2c5A4wNtc9PXZ5J3HDBszC+//Bw76dXlG6X2km6Zs0VAmdCeGAB2jm37D9tBdMteZzhyhNkUwjyl//Cml+CDP/8ifPC/vgjXvPWH3XVbvZnL9nDJ6cfg1374XADOGAlzu6aJ8hiMNFH4f7/0A3jbj1/gtYPuRztR+OWXn1PeM/cOkGH4ze/7xq+n+WXabHO//JK03I0YZnkpijrZg5tQPO1dJD0UPeNr7t/obSdPzivOP6nC+GzeO43JtmPtesHm8hnvODBTaQs9jy374v0gxOGSFfqR80+uTL78PFv3+eMSD/4NAwevvORUfOa/vwy/8Yrz/B9jzG/4LBS65/nlGUmOXdrGC8841u7749dejFdddDK27ptGVmi86MxjbSEWP/bCfJ5sJdExxTN+PeaXFnSO1OCaZ/qukz34hActeqk9/Nr4e64x+yKb3p/DmR+j8Cs/dC4AYMf+w9ajcPk5x9sFPM2VeaFxytFL8OnfeFlU9rBl7xQAYPOeZv2nDvR7VlbAmN+LTzsaP3PZc8xxNbKL68r3ff90Zr/fSiMBb7nGNtY3Y5Kyl513AgC/D9MC+3dedX55Hn9+nckLu8AI3yW6v/TecxTsOr3tszC/inkd6jS//JpmgrEl7M98XGiapnMhYWyM3zDgqF0GOMQqCZHhUxS+zpAOqcvRaPYRO+T2TbZTtFMzMIc6Sfot81nh5684E+edtNwOONQO/hsTweRJxg9N/MMUp8+nkiIrNJ5/+jHRF5MGoh8sB60mmiXOypPmmgIU26ljOKw2lbG6nKGqY4R7GUAo4whv+0vPPcFOlja1naoyvy64hlWls4alX+TFfi+SMSKEKyJBDIzv4biOJfxuAAAgAElEQVTsrOPwxivOwhtfehYuP+d477tOY++kDS899wTvmDwwFKhSVlG4zCtnHLcUr3vhad41UfvNOY/32tgNnCWnRQqXiVjNb7CI4E+RWDdihr2AN+ZK5O9wO1IVq65/UhuPWtJinid3zsl2it/+/57Xs/FbpxnnaFpGlmQxR0+2ounYuPvbMyQL7TGb1CTynL3i/JMqLmqeOSdMFQblWMlYnl/AMalXXnKqd+6zT1yGFzznWOSld+LcE5fjf/6YMWo40UAL38l2GvUmtVK3uOzkrExzyPxGsj34soeq1I36WEiu8DkkjDeJ4dLSE0lkCI159M4aUsic78zjl1rjmLIg5IXGS84+Dscua0f161kw5swVNuCtvAdk5OaFxovPOq7x2M5lWuTi9/YXhX0HzHjKnnf5+SdfdDoA/12he/T8048uz+Nfb0wWE9sXwuW7rjLJAGPqy+2e5jeQqNAplHJGvy18VH5x2UTqVVh0bTQH/ugFJzUKYF1oGBvjNxwMiZWxE2DAxhZaV9IrVQ1cd34/kKGaboaMqVAnyasS8YwOZD8Z+QX9ftn2wNXk8rD2VuGqH5hrnfV+wFSVUt6kQQjTczUxhjqMlSfNLwXBtRgT66Jk/f4UQ0wz3gQtthK3LtCWC3oig2JpJQ1Q4bFp4UBKxpc5b5w9rus/k1b2UJUGzAbS2PO0WKHRlbM20jGAGaT5b9Fk7afi0dGsDd3Ac3y7iYExh4x1q3U5J8q+80DA/DJXIo/6byVV2UNde/n3uDvdfMdVFOv1PWySyL9xmWj2TN0igu0PPBPu/IVL35hwtqp+oUhbSTZQybhDi5QizoCGuac5SMJCxRDarep74rI9xJnfdqK8aoF0H7iEhq7RS6cHn8Gtpv1jQW1dyhsb5rfSLA/Uj4j5tfeEGe08QLYdvFNZ4UiCWIBpmA99rgg1v27cMc+qadYaLtNqszHC7s9dDMXSdhrN9jDZrs4jLiNHUpmTzbH1hIIfLBncP/YexLaH2R645IrbIfwYxb5niz9x2VcSqx1Q3v9WfKG30DHGxq9hZUJNFuAGGj4Bmu3uXBp1ml8qbxwyFpTtwddJ0oBXyejAmKgwXU7oNrUvaGno9SvlShPMtc56P0AsJ580CDPBoNUkut4vIW0GA3KVtRNlDU4eJUuIVTgD/IC3XjS/hvklxqL8vcT1qg5b8Pj5gBnzm0QmU5btocMYOe9zzUDnZA+OgWnKOJJ7lJdtDSfN0K3n3K1+OXFrvAfZMNosawPP1VkHj/kNgkGqml/XRl/uRKnO3N/hNZvv0X4qqBAyv+UkFdxOv/AKtcG1hfp/r3MTf8Z1zNlc82NT28L95pz+79rFvid7qL8Yuj8adc/CTfqxrmnTesXKcTOjsN2l6hkwC/PL8si74hd0AeY/Gu9DCQ3dgzDtn2ILnKKAR/16sgc9u7yK5rTDQco37hHiqRFDmRR/72NZAugdmjlCDyTdX5Kf5N676Rer6gae9YfLvvh+L39zJMUXjX18buWl5GP5jvmx1UwK9YtPOk0124P5v5LtodzvMb+xfcHi2T7jcl8lfSoZv+1kXj28g8LYGL/hRN0uWZlYeWNiUkK3Ll9xVQtgoNwXH3gpmIEbWPS9QlczOthE1oXLVECd17hTqxNKmIpqGJjPFSGxnAoR5ncO98TP9mCeF0kheLWuWIW3GJMEhAFvDS8MfgUpHmBH56CJxeQb9V1xPGNFPOCtypjUBdDx5xvey1Bz2Q2ksXfFOqpMA/2sq/pFbdOepyVkd/nCsTfml55jZGIoNMsL7vcv/m6nysUAAEHAG3MJc2lTbKKs6595eb+8YBYmzeAFWXpBrHpgt2O6wcuPHZE9+BIt/3d5+saczdj1zK+b+HWEnKBfCjMpEFzhler7SuP7dKco+1JkkVW2cbKVRu9PO/WrBYYLOk+2of1UZ6nnBfQX2InyA73qjGaN2Yvp0D2Yzgrvb369MebXNyL5XBS8xzYV4hEyv+U1TbA84YB7N/kioxuc7KEkMoKxupO74juTNcxvbB7haSVj+Y67pUwLU8pxhIwuwcoerCQS3nFmnPC38UwQzqZw56OxhVcw5e1SypAuwvwuYIRSBJvtIfcHJ4BF+uu4ZjMv4DFRfJ9hjKuGDlX9ocCccHslowNjolykuBu4ta66l5ZN+G7pYWA+pUBZ7oK7wmZUpSANmMDcz/agNW1THlPpjNHqwihETDbTBC0W1MgD7KjPWdnDRFoZZMng9oOI3MDJA9AInZqBmg/otsIbuc1q2LUYSGNPxTqA6sKJG+iAz/waQ9udi7eZLxxjrHAdOPNrJRaMqaXHFQYOhkUualOdJZz5de9wK0nKa4obhWEbW4HhxAsh2P6ve5M++LKHOua32fn4exOWVzXtjBvaRqpSTd8YMroclvmtkT2454SKXhjozvxyOQBJnUw7qwvDyXYSrcTVThNPLhGO3VzzG6bv488xlvbPaX6D8sYe4z0780u/edjm+TW/McGZX+YRtUYxGZ85Y35jWQKYzOBIQPeVsj14zC+Xl8wy32XMGG+nSWWs5rEIsfGUtoe/5UmZIoF/3aRF3ZjfupRudgxP/XGAUh8mipU35l4ClJpfRc/RyVf88uL+GGKLgojxu7ARRqZTfsJokQtic4qw9rr53yYo5/vA9kVW38QeUWCO266sHILaBbiJn4LreBvditd1YqBafnYYmF/mV9vCD+HEb/NxTvQie2BMFD2vcoJup25lH7L03eAnsZ/9mgg8uwQPsKNu5cse2IAcsNduMqWB2hwXso91VY34MaHuLQzY6QarsWc6z5ANCVkynoHB0/wyTaVpL2NgIsF8FkFT/ZzIPvNbBJ4iblzwZ0oGS1gAwF5zaeRyY6IdYazqmV9WCILdD95GF/0dPUUUnkEXfFHZ7Q2Z37xqoPPLiVWVos9tdm08lVZdt6LNGvHgQ56SLnYOV9AhYvwq91zaKcuLGjFUDEPoFiH2/Iny3PHV8sacJKkrouQ8O212Xy0xHhr9yuWK1xqzWr+W4c5oHAuY30J7C9FQY8+DtsNiPIDzqBxpYQS6ryHzSx7ZWNaa+HnK9mSun3LwWIRlE2lU5hKbW3kBGl4e2363xpvG2xTb52QPfjtD+aO2x1Mfqy9vnCiWJaI8r1dkJhhbqF3tRHmLq8WEsTF+C+2vsik/IckXfPcZy/EaGZzIzVmf57fK/FKeRgrMcec0x/MypkAQ8Fb4E2sYsFSRPQyR+Z3Pl6JTspx0Dzl4Pk7z9+zt5BpEF/xiBgAvAC1g6buBu1d7qvDGVts8wC4W8BYaq1EXazAJh266OkOMD8yUVsuW7K0JKopeT+ke5Uzm/8/em4dbcl31ob9ddc65Q7emVmueZUnGmiyDLHmSbYiHZ2MwdgADZgo2Nu/BC5AXvg/ICwaHxAkfg0MS/GIIYGZIYjDgAWzjAWx5lgfJg2RZsmTNUmvq7nvvOaeq3h+71t5rrb12nTr3ntt9293r+/rrc2vcVbWHtX/7t36rUr17ookaVj9qsdKinWeepjPnWFsmkF9CUxjqwqXOwAYT/h3LIga5+mPjvhErC+33tIcUscpRDLgCic7exAPeqGx9LfeN9b17XYvrY7fVXSNI4Xct6xmPceADdrZeBeQ3XX2Dk1Hu1koLRyy18TFgwJBfjZJrjif/jnz1QQaOsboEewyh21dN1MPmE2ypeQ1xHn/fs/qZSO+QGSkHBl2DqyNwzm+kPaTL/SFT2haBkYj8yslu3bTJYromurw8bIWIUq1z87EIkcvdxfm16Apl6cLKlr5uKENCe+DAg/2edHumPyPntxHHUWptvi/0O47HNbQrd5Xh/Dayrg9apPwY8nsEmx6oB23QCXcWyKgz0Z0Tz16kk1zwAcgvPelrcmeqUNtj2le+7O7LzeRyVMcdpbfkEv+hRH4Pp/MbOb/pzFR3Wn1QCD4YR6Q+qgiENJj0rYyOVNtmM7x53UVCmlsUqIy1ipzf5ZGh9sDQa8A/B1c2AGQwFqA7Y9sppuXH4Pw2acrhnA2LApNpHaTjAIkO0vWA6IRo7V16nrg8Kyd/o9IlKBW/rjauiRyXBJtQNuoveMBbA53e2AkKA2/1IoCIPUOQwmJBebkgw6quhXQdfx5y0CPa078t5iY+3HqniVZOrC+3XZ8E1YbFP5RFdHYs8IAscH690q9afZNIvTU3pU1dAW8AqTa4UM74LN7xKxl1RSC/rA7SpA0A44/LMUSsOBbxO2pqVVEgTMAayLFs3oDHEPCmkF/u5FrSiGK5vIjnaOeNS5JtRQ1oqp3f0DabNl1vv4kup6sNjUoxrevQ/lZUDEWgQwxTvXjO+R1Yk4DOgDd7pY2/Ly09lqo9tMexiXdXkgvNx+dqVhbyS1x+nizp68mOHudXDdTDVjFBL28C0SHNzszJIeUdL0d+kXLWCucbUtPI2TxpNGo0kRo2V3sIqJ1aNqWGa8mxaFu0NNnhnBCSSL4zkN9JrScEs51f39gV57cdoHmQYVRf6OP8SopLXzOR34JJnRHPuwv5ZbN5zafVy3T0e3kolUQkqqUQoGYOqbNBq/PLnd+M1JnukMlJ1BJoPACHnslWgmBeAzPrXXG1APKPnNhuSZ1xhCVe39R75YiV4RQmKxjtAMTfCw9iJLUH69wum9ZNQPL1SlHkFM9DeyAnVqLTtN/6zZ0Rzk/Xy/rcwvs1AAhOf/LBPOk16O6WNGGC/AaQQaJhozKqilR1I5IsUHAsPWugwxSy/E3TBCcuPlv8jmZKe1Y3xXkFsvssC6oWk6rtP2nMYU47G3M0x54jvxZ/XcYMbH6AiAFvkvPbtE6bNdG1jN6lphzyMnIAaWKUf2WUjiOcNjW0OL+Go2zuy7QPPbZyNJ7/zSfeqc4v7eOJfNp9dRMkXrXOuS9X3Y45h3ec3y47apxfrak4DNHnMt0wwALelGPMEZYGcqDTyK+eYDrnwkyb0x64/i+Vi8oAtLQHGljZUpPfxxp1wQMT8p3BopcvdgLnlyNzZFPVafXL8CZ1fuumwXjqBzseZGjp/OZssxneeMYdjjTT5cZTH4m7pPRGddYswA+mleo49TJd5LwNJCrB0Ek+ODahnvd7qkFLs+AoYYIYqSVienfk6NOdwvJdWPmQCAyVMbyTXDBZVbNBXHb+vL/gknFpdq24SgToJBeM+8n2x+3SqbKM90HO2WXcDO1hUtUhHbV2UEgmrq/jwvWxnVGWXGS7FWAa0hZn7sU5jZbiDt01R3sgs/j6vK16VQA5yfJlbrOEsTrM6zEFx9Lz6Qkdz/DWNJpW5//3fYwEQxyiA6LHl0TnN/vUdJ+I/PI+jDu5XBpR0wsmVR2e3+KvVz3aXh9LaA+q3o8G6b0tCyt2bCKp909D/6eQ3/Y3pRe36Ao0oU3VHuLfPNGLL3OmTfD4DdWedQbM0Ce1+wvnQvvTqaid4z4FQ/AV0MA/V6jr7hjt4Yi2ulEz+8IFSZfUUW2XitU53JmgLETJPqS8QL8/NgCZ3lgGJIWADBHw1oRj/TFy8IxatHI52LKt8rC0He4kF6WaBZNpiZretIdCIi20zMmDDCe1HJi6TAa8bQ75FTq/zCEcFpSTXXbIUe3Bb6tZ/RLIr9HJ66QZHJ3kg2OYkPVFfltkhKPrelmPPqEL9Vx21gVzArnEEp84apRK/+Zm8aOjzi+7H/gyosqu1SKWfJAh404+X/7WAau8jPp18sm5HvT45I/K1temVZNNiqMl/WZei9MXGF2LPwO/LxlXe+CIsQcW7HpFm0MaeTG5lOmNLUoOHT2b9pA6ffxZ+WSJOwZ8n/juirpCag/WGEKB0fI8pTXNeedOBsPNRH7bZ1+fVGL1amA47UUhJdDomeMKpTXZXAzyqwPeyKmmttlX55fTAy2ut6c92DQyPi7rbHacNmXJF+ZW0HxZ7HfEf+uxlS4fJMs0tcGlCTCCTKqLyC9HhTXnV1De6qj2oPvqrwc7ipxfld64nalVrAMm4ygE7yP5sqNGFjji0SDtgAoXkyTwBsi5wHxfCHjjS6YJ7SHOxIdsua2rM9hqBK62wzkjJMeU8+H4PmDODG+ML0uIvJ/9suX0Fvnly4VdJr91n6fyVhaRfsADuugSkxa10QkTdIY3oEXJFAI1KKU+Z9AvHRYJ0hWexUAy+3J+B0W70sLQ1gT5VZy2iPCmjiGXWNIDFJUxPkMeVdXSgjx1MH0vLqWns2uRRFd03KUDBaScXyvDXlcZtePEU1ZztGde5DfSHuR5fFLd71qW2kM8dyycfI38yvdPlLI859dbACCE8gbnQXZTcmYHvKUSX/Ssw5bzS/u4w8BXH3jgmGN1CfAOiAZkeEAj106m8zm6qxHvuC8FXrQFqTOF/MrJmkQ1Ad8/ElBDz8+pPWR66XyzRm0xqD1ULGmI46pH3fU0BOBVMtg87GfIr1bPCcBDO7FOgYYIVqUpjO1+tGtfTmOd/12qZ+BAhJ4I833awSWpUEBS5HhZKGvj4UxmtV12VDm/elnr1gcOYH1SJZ1k4eKM3nJwrQ5aZHhTiIS/psNXHzoIQCO/TixzxWX36GhTpQ/crEIOWu/5wn0iAOD9X3pA3PvgeBp+LyIBxvqkwnu+cD8A4EO3PrTl623WwswbDm+94S7c9cha2KeDAD91x8Pi3PG0xi+87Ub8qz//NG657/H2HM75bY9rB2iOMnBJtFmmZbH6mkd+/TO8+YNf8dvKuMT97i/cBwdLskwG7QESnYq0B4n8vv9L/nsuD0v8/efvwyMHxwCAt336rlgmQwppHrWHj9/+MN55473BOeCde12n2RZpYCXnSWdPiwFvceKoHZYb7ngYf/bxOwEAb//cPfjbz96t3pUcxLkuMo/Q78quRUvYkLtCWb58/34RzGchVv94y4MAgIPjCje39TGUMcNLrptGyLQ1Pf2ML9zzGO5/fCNMDD/1Vdk26H3+/odvx5fv3z/zeoK+0JbxAzf7PugvPnEnbmDX/9xdj7LzIqotwAOj/ySLyG/q4DonaQ9dddNqvwPh/LJMiMph70J+tdZ0Qntgz2nRNgBfl/6h7V/js7ksn9k51ytYMNynvdG+A+Mk8RPgv50I5iriuKLRx6E12WTv4/aHDoh7f/QrD+H/+uNP4oM3yzHKMmqLS4PYX3AgyNL5/bOP3YF/85efE2Pe733oNnz2a4/g8Y2pSXf5pb++CfsOjMO9LGeUJjXTDNBgcX7/5KN3hN/aQf+df7wt7mPlv731EYB0HKc2lQS1hb7YCIplkwUr4E3HUXCAetICP5baw/6NKX7urZ/Dv/6fn8Gd+w6KfQ/u38Cvv/vmHY8WHzXO72Rai+Ajcopuvn9/snzNFRh0KmKA+GZyMI6ojP9f9z/OAV9qB7UzTlgR2+uGiaGH5aQ4iNOkizoqmglTesq1cYVp3YQo+P0bseEDwJvef2t8DwuQQbvp7sfC7/3r044jt9co09AdbeN7zR98IuwjlP2iU3cDAO55ZF2ce/N9j+MPrv8q3nrDXXjnjfeGc/TkAwD27BrFdz6tE3F6sh96+nn42Rd9g9h20uoo/O6riQv42f20bnBwPMXdj/qy7xoNwqB3cKPCpG4wKssgVg/YaCbXmY20B9lZP95+x/P37gIAfPx277D805e9U3bN+XsEyqPr5Cx7ziWnhN/UKX7fteeGbfc8tp6oPdA3oNTL/FZees5vp289GrjQBohf/7Lf+jC+eG90Jl/3tpvCb4GSK86vl7RqHTPIYDKpABNXe/Q+qntfuvfxMPgNCifqEtlj65Pw+x2fu0eUMUTWt+Wh551WjZA36ov80gTgFU/17//uR9fEfo7U/v3n7515vTFDcMkObvg6+ab334pH1yZ42VPOAoAAAADARlWHhBA64CZfq2Kd1n0wR99yOr/fe825uPjU3bj8zBOSfRyFHZX2d6Jn5Sia5vzqvgKI7YSv2mlAhlNv1qeVcJgGhQtcbL2yyJOwWKuO2vh4x7motBLw+PpUBLxR2fevT6O8lx6LptwpjMDQjXfFsQIAXvHmj+Adn7sXP/i7H+suJGJd4Dq/fJwMbX0S7/2zb/0c/vijd+CzX4uTrM/c+Qj+8gY/ib/m/D0AgNc8+0I870mnYc+uER7fmOKjt+3DqCwwGhRicj+u6kAnGA0K8Zwa+dXUhk+0k77jlweCB13VDW5hk0pe/pvujuVeZ/06EN9xbO/+f/r2fhXIRn4psRGg6Csq4I0/w7iqMcqoPXz6jkfwpx+7A//rk1/D+74kJ2o//9bP4Tffews+8pXDB4z1saPC+W2aBmuTKiQ8AIAXXnY6AODAxjQZwEm43p8zCNu5hqWOqk06b9UB8U768rNOENtpCY8fxyWDtNQTOe7rU984NqY1vvvqc+Ccw4suPz1pNBJhS9/PvEbX50txh8MI+aUB5ZGD0YFYm1RYGZY4cXWE809eDe+KjL+jtfY3/968Slx38d74zicVtDg92S+99HL82HOeILYNywJPu9B3uLz+zTLi/K6Nfdle/9LLUDJHZ1zVeMXV52BlVGB9Wof6Y/FY68amFPClrI1pjW978pn46eddLN7J+qTCiy4/HX/xY09nvEyeuarf87z6ugtx4SnesX75N3pH6IwTVvCfv+cqf79xlSK/CsWVTmcRJppU1pXhAEttUKBuA2QHx3G7HLxk+12bVFhtvzmPtLcSK3BePm/3l7UO1vqkDt9xZVSKukS2PqnxzU88BUuDIjwPIJcmV0a+A6LkBOQ8WSmFu2xtXGP30gA/8LTzcM6eFaxParW/wjc/0U9Wqh4rRWtj2U9++5PPxEbb3tbGFV5y5Zn4jVdchZN3jcIzV7UPJl0d+vM0xWU25xfJ6tvKqAzX144x2auvuxDv/lfPwaVnHp/s447oymgQvhOfXNKz5pDfVXbe+qQK4wQ5JcthX42qlug0p940DfAdV50pno3eadNIWTdBe2iAWSFv/L284qnnhN/OObzg0tOwPqlEwJtzDt96xRnYmMY2Ss9v1eVp3eDq805Kts9rdC+e4Y3Gr8K5sHKh+3YAYeVqeVigbvxk7JTjlvC8S08DAPz8i5+E3/mhq/FHr7oWAPDwgbHZNtfGfhxxzmFlWIrn0UCDRkfH0xo/9PTzsGfXSLDy6Bovuvz0pPx834YKkqvrBi+87DQRewRA9D3BMQ4rAXxfW2cJ+a27A97WxxVWRqUZ8Lam2gS3Ay3qvuj4okXbUeH8jiuvt7jCnA/qhPavp84voTlU8cN25kw0GvlVfBqLSpH7zUXyaZ8Z8KYGQap065MqPNvKsBQVE4gzZ16+rRjdd/docFid3xCMVqToA5/sLA/LpIFajXdtUoV64fRA2F5rbVLNpXIAgDkv8zi/fvmNyknl4qP96qjE6miAqm6UDFEa8KYRqEJ1aL6uF3FwZu+E2gCf4MUgi/7vgY7k74EPNhGdpg65RTpJ7UEjru3xNGCsjPwgtWp8b8v44KWR37VxbFN8OV1/e8qupduvL6NHi9YmVSjjqqpLZDTxWhmV4d2HMpbkaAxC2fg+jfbMMl7PV4x3tT6psGvJ36sP129tUsf6CdkHrbG+aZltj99Mq9vQt7bvFd59k6byXR6WWJ/UgUIzx0ILALmKsToss99pZVgKZ52voKyM5HlaDpAmCeQY81V4nmigquUEm3+nRHFETGR7SJ2V8rrcVkb+GwXkt4jb1ycR5aay0ndfE05hHeqPHovmsRDwVqbIb1mwexttfd8BD4ScvGsJAPDwwbEJPtC32tfu19+c19/VkRxbRXBx4RLd8rVJheVRGahRfDvgVxQBiPa+Nvb1/8TVUfLudJZazgEHNOc33RcT+cTzuwLeqE+Kco6N2Gf95jbH0HBY7KhwftfHkv8JxEq/f2OapT2sT2oxUDs2c9J8rVh57GU7Kxscv1dYngANxv5vHvBG16BB8OC4AqVmpGdbHpXJbJs7v4sIUDvYXn/38uDwSp1VvvOh9zNmM+iDYzbAj9IJAUcAyfEaT+vQQfLvtcIHwnGVfPu+pgeaLtPIL52rB3s9+HA0MwbX2HzaWnVmK8OIfITOf1yFLHkiKMlAY/vastEO11pEnd8nLMVVaZsaFEUYCGnAoG+3MipDHe0y/q70yg0f9GglCEjRRpoocz1Nbt5pmYb6Jt6xGPR8fV0ZlgY6Xah3NQ1l5VJnfZVX/GS5iOVT72ptUrUUm1SRI389+U2tCSVHZg+qeh1pY90rCrTZ0mGn709ImrU602XcsVgZleF6VL/889RYHpWmDjs9D/++Va0QZda+dEyJDvor1bPRd/J85lhu7lzpCYH5nOzkZeUQkpOtV4qonnBtWyoXoJDfqgkUgq04vxR0Gt81Dxx1yb15/X+4RX5P2jUMf1v9L20bT2uzbfJJsJ+8MfoCC/QcFFIRgcYTjxrLVRm6Njm/vL2vTSqMygLHLQ8Eb5neR8m03sN2ju6GVSC5r3DpBNMKeOPlPDie+omeQpoB5bBnvvEOB36PDuc3LIuyhr7KnF+L9lA3EvUCZECC74CkEwuwZbvkmmDHpvdqGtnpc2UJWt6lbSus0UdEqZ2dGkjOqOTI79ZrJFX83UuH1/ml4C5qlJyryAfk1ZGNbpGtTSq2dC4HY9rGB61ZkeQ5m8f5Jc7vmvq+wik3luk4j5XLRyXIbyE5v97ZGwRkiju/tPzvWkeLD/jz8JjJVo12SI4CkCa5mFaS6+bLLx1VIL7f5aFET7k1bAGyMpIzVC3Xn08o6bZNQ0oust1XDVd7SJ9V1y8LUSSHVE/UODodB+Y6lJUHvPVGfsdVoBtYE0Ma8EuXyjflryedX7+sHx2A8C7YapU/VtIeKDJ/ZsCbsfpG9znQ8o3nbaMcBFlmqyDiO7XPmlN7GJZOnKcVKbhzpelTfAKmNeY5ap4qjjBpK/QPeAMgvhsQ64NGeGlCE7aXakLGJgi0IrE6yrfDPubrt5KOY5/39mIAACAASURBVOUatoGH9F54/08BbHta5HffgbGYdPPnJVtmbTPQHpgPsKL6FU0x422Fj8ue2piiphQPkvYDZUuxqKElA0vHgiYVtcGaCFucX50hEuC0r/hu1tsVnTAxzSC/+hsTALAx2fy3PxR2dDm/ammOLJfemM/6/PZYefTSU5y127QCS8+R3yvU8XaXJTujOb98UNUoJ29sSwtGfumeu5YGh1UChQaIiPwyhGYsOy1rgAeAk1aHWBtX4e9lw8lcGhSK8zufcgPZfLQHr/aQIL/aKVcUGDGbp06yicvAUTEkvjfupFBdWRtXgSvPy01cYapGW0XAuaPAU3ECsQ0EtQflKGjnd7nje5PlpIpC+62a6JgNZV0gbr5G3cgRA9J6sdKiRaGMoyKZsNAz0CRL8idrgb7x591swBstx9I19UoRrXjJ5fTu62kqy7iqQ+CtoB8xp4I/U8HeP5B34GJ6Y4Pz216LELN56yavX8TxBIzvNCqznF9KYjIsnYnuLlN7bfuRLuRX0x7IyagbmIojoQwzsF/u5Os+ieqDlkakbxeyKWbqJJW/LIrOdtjHPPVDvhcTkW4d7/Wx4fyuDsPfXcgvIMEEQXvIrCDyVPIa+eX1u2ipUWFf+x1P3t3SHhQFj0+QdSBhwSa7dLfYF3ekN3Ypr97WOZe0h5VRkVDC+POduDrMfuOtfPtDYUeH88uCTcj4LNBKb/zg/rFYsuPHeY1GO/VxoD2o/ocPTIlOaBMRqUB7aI+56+E1xr/SCFCVUDqWhyXqJjoMH7z5ASFXpOVY7tx3EL/53ltw24NSkqbLqFIftzwQM8VZ9v4v3Y8/vP72RBplln3qjodDZ8aN1B5qNcsFvFqBxTXUz3DSrhE+dvu+xOERDk7hBMKRiySfZXMhv4VEfqNTzq43KgMFhmTeOEeUZyTUfDGeQY7eLXV0y8MC65MqcOV1G6jrlIfex6g81iT0i/c8nlAzgtpDcIhk+WkgXFfte9WYAJJN6wYfvvXB9l3VSbRz1cR3zjm/QOTmCwRaBZHot0F8cyojD4jiKOjBcRWCrD52275wvkB+FSpFS+NODXhkN9/3uNnWPn77PqwMI3LHV0XueOggxpWfCOkB/fH1SRLBfe+j63h0bZJwfun+AISj/ZGv7MP+jWl4Rpq86WjzmQFvTar2QPch5HfeCarOxkiqDpxjfce+g1jmnF+l9kDG6QOSvhA5v1WtdOQZMlc3aVsPfVijxxAe8DZ7ssLbrEZDV4YlJlWD61sJSyrTqnq3Fuf3/sfX8Vc33OX1gwuPgJNqjGU665m26299COuTmJhC6vy29x+lEyogqiYQ8vvI2sTk/HKVktWRTXvI0ef05Jk7jl+4x6tcLBu0B5J/C8jvOJ1cWZMKkjZ07G/+P6c2RBoMR4VlP8EnZvQcD+6P4ywFd/J6SXZDKx164spQUEG4feBLD+DeR9fNfTvBjgrnlzhgHAElWRfARn7Jzt2zGn5Tf1MZHS9XZ+B/k936QHQuHXvrtIysA2ZOPX4ZgHf8qCJTOZeGET0Iz9Zuo2dcn3gn7Qd/92N4y/VfDffTyO91v/I+/Pq7b8ar3vJx9DXuKOaQbm2Tqsar3vIJ/Nu33YTffO8tve8FAC//rQ/jZb/1IbHNO2CtM6b6+/0bU+zfmAb5LmsZnCLcp1WDRw5OAkeM3t+ZJ3o5OlIoiO+1Ql3Pt6T63EtOBQCcddLKjCOjEeeXykn356jO0qDA2e01SZJMZnhjkzW1jErJGYCoH3ncskdJaLKg7w0gLIXrxCt97MVXnAEAOOPE+B72HucHp0/f+XDCbY/SPCntoSxcQAmpPlI5l1rH49YHbI3a7/vtj/rr1innraqbID1E1wtLiUiza4UlwZCFTt6LJhK8jNFh8OeQxu/SoMD+jSkeW5/iwEaMmOYyWc7F553WDUqW4U37PS/4jQ/iul95n9j22PoEB8dVcGKWB3JA/6/v823z3D2rCe3hJ/7kBnzPmz8SIumBqEHN+8njV7yD9/q/+TwAYE87yBPH8R2fuwe/96HbAMR2ptGlXK2KE5E0yQV9r4j8zuf8nnb8Uvh9zp5VOOewzHirNwaN4iaL/JItMwRVOJtsZSWhPbDlfS2nuDQoQnvUMQfESY+0nO7n5DSus09aFfvOPdn//a6b7sUJK8MIIAykjOYgOL9tvziu8Pq/+Tx+6s8/jbseWUNZODy2NukEVfgkT9uja5OgCV1yfrVCfql9ARJBvfm+/SgLh2suOKldXfXfVBufIB3YmGJJOZ3r0zpsWx7IiaIOmOXV4Af+h5dyWxqmAW/03OfuWUVZuETtwfcRcYwno76AtwEgBrA5x9Ibtzu5OkZE0On82Lec3vobNLltGi+3tzQokngIwL9fwNOWNKWQ+re33nAXfvsfv4KdaoPZhxz5RjqhnPvKxa4tzi8AfOuVZ+A7v+nssD0OMu3gb8zareAcbVKsXyasoHufdeIKTlwdiuwqVMwoLJ4GMnG5HCvzTU7t4SsP9Ed+vQaqX97rS6PgWa42sxzC9UEBltXLQB4JUfiu9tvxVLi8PADwymvPxRve+cXQgOn9vfiKM/DpX3h+6Pw5wjdvwNuPPvtCvPJp5wo5qFlWFl5vkspJdZcPbKOyELJ59FyU4peqOKU3FkleGHJK93huK281aLPLhXsPZFuR8nv9X8RPP+9i/NhzLhTv4fjlIS46dbdwxqPaAyG/KRpYsoA3XReGpcP6pA6BJL/xiifj2598Fu7cdxDP/dX3q3clM/A1TcqP5siqRuQK5rAA6ZLzoM0kGRNxxP3k1NOg/YJLT8PKsMTr//bz2JjW2LVEiSBiOTjdY9pmG5uH9kCO/XddfXZbPsn93pjWOHnXCN/xlLPwur++SSC/n2/RLEEvmvigGK7Z/Jx2skfSXM+86GQAXl7qL2+4Kzzvsy85Bd9wupcc0yh/rl7xxAZ69a1MrjHzdQi7+LTj8PnXv1DUT57YgOrTtz35zPAOeDv53//nM0Q5J1WDYZlO2gDPba5rvXoYnQztNHMKSjoBi2hfn4C3YVnghl94PsZVjePbCS/ZS686C8+55BRM6wa7RoMgM0bjFPWT9DfP/nYHW2UYFA7fc805+G/vu7WlCvlSPfuSU0KCi65xgNexoC9e16Gucu1rnukUAH7tu56M5zzxFCwPS+xeGuAzr3tBqNeWPfmcE/GZOx/Bd199jkhQAhiJLFQaZ57pzhoLvU6uROTLwlNqzt+7K/Q5ZFSnrUQ4VF+Ck6uQX+ekj5Lu89ehVWZeV644+wTxrgmQo/TG/v7y2V5w6Wm497H1xKcYFA7n7lnF/o3pjqY+HBXOb0x/Ggc6kc3HoD0AwCm7l8ztdYNk6YnzkoDu2Te/XeA1GkL+u0YDTOo6QcRo9jfl+5TD4B2e1NFdRMAbDcgW6pozked8AVnmooOSLl7QvmHgY8nMPL4MUiEgCojHD3CikaDCCnbsY/M4vr7MbeY/4tgF5zedOK0MS5a/PtIe+DKXlk7iAW8xixENaM5nsguR3anzG1Yq5qQ9WO9h19IAk9qmZgDA2JhQlizgjbifPAPitJqGOnfS6ghl4aCzek2rRjj2hXNoIFO7couc39TxsFIwA9ER5+lq6ZYh7Sr7xjGVa/s92QALSISJso3NE/BGz0bfdFBKcf5p1eDElifJJ0jiPbDfk6rBSavSgaL3TAMf1VOawE0qPxnj51HXPKv/5EL9uh3qPnhzwZiyfvKJM72nYVkER0BmT+Rt0ztKVVOIcnhOsGtThCOZkALeydB0idLFoKkG2qH2/1MsSp++iSvFaOP9Hn8PQJyo0QSbfw/ZPh2WW8d52tZ9wLefXaMSB8ZVZ+pjHpiqudCA1AKntkftfdfSAHvZ2H3c8hDHZe8ELDFHPmZPbYNK2SqfnijyVO1aOpJs0Koz8Ilp3TRh3HGQYyitZlqpmynA1Z+XtneO7gbaQ7vP94+Q+xrZzjiFkKeMp25TpD5u5ewGRZrZblrXOG55gPG03lJ66+22o4L2EFCXMu0ogRRloF2JU8w6mTQ1ZZydWteU14/7CHmiMvLTKGWiJSs1bNE5vqzhz48IpYn8LsDxnLRpgDXPqctk+sutNwgdeMGtURMC3WkBCM4IDczW5INbRGXa2fk2txxyMnlmMF2+EGzBUv1O6zpxlOtGLtHR9aiji/nr2ftiqLNuN6RDqsuzWRsW3hnQslAp7UE6AwEBVc82bN8HnTdUKBXZpG7EhJiWJyNaIicRQDpgRNqDPCc+Q9FOJCJ3kSKvpwGxit84ZACrU+SJ7he+W3Co/b4+yG+CkhdO9BMTlarYGtD5NnLAuVGfRoFIA9YO6Rye2tg/l+w/cw5cQBqrOumD6ZRZ15jH+MR5yr6TxfktVfuivluPBYN2VadS/Qi/plZ74M5V00BUQr4ysfXe3Tb6VnpCMyjl+BWPj30r73urOk449WocN17HuIOtJzY8s1qcnGzuuw9K1v4M5JdnEPT3k2oJpvPbTnj58COSmzilQFP7Om2lbq6qCGDQRB3QnF+IbTJ5lhPb/O11HUP7/O27LIpkUglEAIxWtrhRWmRr3N1JdlQ4v/QB+BInzcCBNM97dJrk64kcypTza1WQnInZlkJ+NbLn0V15DzpvWtUMpWqPYfw/a9a1CLWHaRsopKNYu8/hA+zikF/97QAwmkg7wJdFktaZnBHq2Aj5zaFF6cRnAV5fh4VyEdJi0B6GRXTqqJOctEvhgFJ7UKhqUUQ+p0aXaSmR9g+V88sD3jaDriXPSpO8rDOQooFc5UM7GDQgakePO5FN453jIS+/i9QGILYl7lx61M1o94qaREaO+IQh8uGZGX3BH8uQJ4b8iskHo4dQHdZLnV2mqSV8WV/fz8rsxMsL0ARCOXcaJQyOUvyeE5USWfefuWql076b32KTtIfc/SKyGCdTVHaO/PLJ1bB1CmrV7uiak4oCZ2WbBFgfo9pr3aSSmP537PPR5FHzrVhA8wPtgfpW1kbV2BUncmzpvmkClaILFeR1jPolkVyHUREm4fs04vh5bVgWjIZIyK/k3PNxrGKINu9P9TU9tSHu48lNHCCWUui761TEgFwNcC5NYUyUCL5N7pNl01MlTs8IE73SziBJDq5+J4B/d8PCtePuMef3sFoc3NMZOJAundNRegbJlxcTsftk+TPfA5WqkwBYFitRPt+wraXAQdvYQpR5QKn8fr9kbgxcC0BdJ1XUX+x7PTlj7l+G3IDexfm1EjokyG/rjAzD++/WBuUUAj3x2Q4rgwMh667ki6fPx5E4rhWtA964E6XRZRrwNR2CzuMBb4tA12hyooN86L5jg5JSsmdOUO22/BG5ligVnTNVDmnhADSpA0b/N9TuWdnDSgu1Uc35DY54LZ0jhiLx/kkvd+pnI11hIFJc+KrELNNL9APFh58whLrMDOjcmZkq3jRdE/AooXOSn0n30E59Qh/JlJ9PDnKrb7MUI+YxPoCLpWA2MTOR39Yp4Mvm/JqEYspJW3wHui0kKwxG0CVNzmZJnW3GqO6uBdoDcV3j99Bjl+XA1Q0YtSfvGPHxguv8ai1wTtsJKz2bnPXwMlP7IxpCuFdWKtFeeSEdbr6Pf3eP4EYjYIWvcIj7MSUfuiTn9fprppxfjwqzSRL9r9oP1a8JA0T4OBLL4ievFqWQxla+urUT7ahwfscBWbERCg0e0ifWy6Sik1EOUMjIFjrefHkkfcH/tgb40aAICAEgO9eALChHj8/S9HIEsCDkt0Vt/LJo33M2h/zmwKwuzm+ggvBOq26EI03OCNUBCgTKcVhDB1DPH/C2GaNOeF0NNtyoPlNwDSCRuJjhDWbAm4U8+n1+QNF0CKBFoOoUHd3qswZnoEjbVAh4EyopTgS8FbptsOCY+J7iMdO6waSWS/Y0SGl0iZyJ0O7FJKK9XgZtjBMJ20H3zxdXpvRy57RKOb9UjSdtHdZLnV1G3zwgZ2rwmlYRzSKUP7mG4u8PB8q5KyJSN1RlLxzCxMSiPYT+M9PA+LJ0LvBrswFvlkl6SpwMUtmrqglKH5JWFJFf3XQJNOCOFS9/UBNSk1WAfT/D6a9q4vxu+bET0/2RRn7Hlc58yGkPsX41TaQ9jLuQX1bvuIZ+7PdjuRaJ/AZKBpuYxsmbw6SO47GfmLI+03gech453sPBE+dkFsW6pX7xFY64jyG/YIlN1Eond2LpdOdSiTTl+/pytsfH1XIn6hcZ0ZY48k5G1KkBG5d2oh0Vzq+FYAFxsNcOVG5JnacO1AhQskTbUR5Je8hzfoNToCo3lY2CPvj9S+7wmGoPC3B+6ziz6yusP1VoUV/LXb8L+dVUkGGRdiSBs1TIjjg3YMaBCcly5XYY1UmSwTGR3xC05AT6QQ4Hd4qs6PGwfF7XEqEjzmydtpuw4jBjeXoeI96YXiKOwSd2/ecBbxbfUpefP8ek5Z0OlfNRNzB49P7vBmm7TyS61PsgR5x48vqZAdY/lSlaliK/8V5Uh61lyZxZAUM1Q7u9djaLYDcuySfVY+XE0juhIqeUiDgxsWgPs/pPviyt+decM0vl2KrxAZxPpgTyqxQI6Bii8ugJIk1W67oxKXDhegYlwqIA8XFJOzSLMqq7pHgxZBNsmiDw+1r8dSrjyHCKtfE6xh1/Hfw9ZLSdiFbO+QZYXdXtj8taDspCqMHoJBHW0Doqi0Tnl/dXDjKAtGonL9Sm+HvgAW8cMY4Orv+fB8WSY+yczI4YHt3J3yHgjU0kLLUHoi1xzjUZ9Uujsv/K8OGwo8T5tZ3ZmAZWHh84XLpTZ+hfgvyyfUD3cjDfF5EMoj3wAZ6cAnkPX/a4VOyv2R7DuKnbhfySRFQ5x7KGUHuYowy5QytjwAn7VAdpBV6QM0Lvn5DfHJIZ3mvdzK3zuxmLSIvs0K3BkiOndZM6ysT51QFvUepMInRRnittNyS5tJkkFzkj3phe6g1qDwYfnqMbOuCNHBaNXAvkl9BH1vgdIt/S3x/ivk1N6WPjdVwYmO0gK+6I8/fIA814YOEwQZ7iUie9E4rq95NQzvnFTEukotTkm3OT/cpO2r71JNIKMApUE1U/hoXDZErvg6uI+P9jhje7XvFl6bQPRtjn/15U3dT0lLhiJNQeOKe7RX41tYGOC5M9YwyZGBPxMPk23k+k5TTJhGBRRs9Gzq+YELftVypvpPx1wLevQHvoGAd4X02TKf6uIxXBpZOTTUYjD4rI+aVvwCefGo0VwXBlPuCtYBQFQOo0O72vdai15FrwOchpdtHX0AHxnPZA1y6cE9kR5Q9vPI6CJhJ+ouf3S7WHJtC0LOR30CK/xwLeDrPFD2kjvxq5CHJACec37tfLWZtdctO8Rt5xkVMQK7faV8WlfJ0VK6v2sBDaQ+Qa9r0c79Dnoj1k4pdzPG4g7QyswAtyRqgOkCZpbtCVnN/tWVrkRp275tjxyRFXMeBasnFFIyJCmhrAI/mJxkIWHLYqbTeU9Uujo1sxuUScOr/BsRTn5APeyGHpkomz0FjnWp3fDI++QbqsrAXg9duIjnidOOg8SBFoaQ8B8UkHWCoT6Tb7c+bT+dWBikM1oHNuci7gTfP3df9J5QKkRjQADAeRUjNUz8XLkatWXOM86YMVCr842kOcJAL+2WapPQwHnius6zS/ZpWp75Hmw/ch3A/QiiOxnTfoJ3U2r9E31kGMQOSvi/Zp8NepjJFa0OH8JtqxUSED4AFv9grKZsw5qz3Eb6SVmWQqebuteHqgbJuc3uWcHOOCzq8OvDPG+YDusvLHfXFVzG/jyG/rGCOlDfFVJQAioDaqjTSB8jEy1B5I2m5QuE5qy+G2o8L55RI13Di3jZul2wjogLdujcm+3lFQe6jSTp94RFZkPQ2eujPgkd/WkkPfjGxdRgNebrZrGXV0XJO2j83m/BrOb3sOl6EBUq6il2rx+2apPfCofs7Z2i7jHLuSLW0XLj2GkBdNBaEihoA3sXKgkFM2mI0G7dK00Q4KpzK8LaAHCRSeGibyG/m0cl824K0oMJky5Nr4poTGaj5z06QTSjqibmCkN0YoA5BOnsgRT2kPLEix5RUWrD5KnV/23C1/UCxLsn5pliUBb1pdgnGTvdxeeg0+2GkVi/h8NrAwKIqwyiKQX4Wg59qX1ji3Vt/oWRYidWY6V1ElRur8coeQ5PtytIc66Ue6lGe0A2Ih3iHwaSsPnDFqJ2uK9gDEuqwpKJZcV9M0IRNfN+1BVmaSftQxLlxtgOgVm5U6A9L24CkK7T6FxlZ1rPs5TWxL55evWDjIMa5q0V0deBfGO7YCmEqdpY4xXzXWtAe9SsDpEnw1Sqc35itqlpwZqdBwSspOtKPC+dVR32QDhZCR5ZZ0OfrXqKCnkF3IQKm6LAQMGAFvxL20Ojwi+mtKBE9huL06vy4727WMGsHKqJyT9pBDfvOOjUZ+rMALIuUHtYeeOr9Nk6ZV3Q6j77gx0chfPIavXHgOq6znnIqjnShyYoHI3yIjZMpqNxQEpdHRrRihB5VqU/TcFh+bDyg6UI4SE+hAPm4xCE3THqJqgtbOpsyOAi2ZgTb6CWwrq5ZTe2AOZ6rza3B+m0YsS/JJzixLAt4UOsd1fssc7UFQmGrz/eZkJIelY1qx+YlOV60algXGrfMoAAiFHi+O9hAniVTuXmoPVRq4FvbVpAEct+vVQ4sSYXGihc7v1rt300KGN6XzS7+ndS0pe0VO7SFOArtksPQ4xaldgNL51ZOTLXTOuj1wfW6ezQ4gGbS2ry0o+Y8qd+na1Zq4jU+IPO2BO8YNSidXOOgcACrgjc7x/4sgOoX8Osf6McrwhlSzvFZ1fVi6ZHVL0n9Szm9Qe2BtZyfaUeH8WnqlAATCwU1XNLIww6blLN45Kc5a345XE9sT5LdOs7j5Z2lRYTXochRge3V+C59lq3fAmz9ueViaXOSczUZ+DbWHJChCOhRUHh7gEDK8ZbxfjvAdEp3ftszrk0otzbvkGKLAaI6rWKnQCGLB9WKlE0hol1ZLACLCoRGYrT5rcAbMZeDU0earDlrDmNpGFzXG0x4U8utkhjd6JZH2kGbXSpwSdathy+/U0l58YOCosKXzm2Z4i449SSkBPXV+k4A3pS5RK84vuySVXmeEsyag2mHgz62pPED6Hrva17CIlC9+azolp7yxGePOFaenBLWHOqP20Ab2aQeXrkmTPSujoUV70CsMdrxJuwS+DV0TPVtwfnl7K1LeJ0d+eX9P8RKzZLC0LntZ+olYGs+Rcn43S3sAfB/DkzdxdF7zcHmsQcn6WlHuwgkOrj8mouQewY1GHPHIL1a0hyK2TUvOzP8f+3auBEFvRQS8scpSMkCBTyT0BF8k5TG+vdf5Ldp6fsz5Paw2S+1Bd94B+ZlBe9DLsMBszpo2neSiS9FBoGKlXn6WDk9e53cxyK/PclSYs137nBb5HZZzoc9bQX45OgCkyC8tzQB2emNufOlHI07bYVztgXfm/K5CZodzXAMagVDmzoA3HYwVaBRpuyGEQ684bMVmOgMGKq8D3jTqVjexTVkBMJ72IB1SQmiSjIoaWTOWnLMZ3sqYLc8KKvTlj++/j85vXTMN5jlpDzrgTaNzfCJE/G4y+pXLCKefm1+fbFgUiVyWfy60z5uCAOm1iQ5m98HkOC0iActQOFfpUnAO+SUHXddpuubUCNjTAZ7ch+tO+OL/r5vGJ7nYRp1fi/MbEqUI4CYj19VOWGahgibyW8dYA64dHbjzmdiemaaKwXnektqQorE88I626fFQx8ZwtYc0GM73sZr7X6s65pAmsqC+pyxs2kOYJNNjq3L6THTKwWXILx3OY0F0khx6Pz6e5pjO72G1t336Lvzq398MIK/zq53c3Us+A82SCtYQHEqjggOcsybLcdySzBlPppfd+WmFc/jKgwfw8MExAImyDYsC42mdIAGcmjFL7eGOhw6aZQKA637lH/DfP3Brsv0zdz6Cj922T8wkL/i5d+CN77kZV//yu3H+z74dv/7um5PzqMNYHZW497F1vOvGe8K+Rw6OceHPvR0f+vKDyXm80/jON30YP/VnN7TXyyO1GimPDkVcrvrHWx4MnTAQA95ySGbUzD20Or9r4yqJrCajwJGycPj47Q/HSOwE+U01dOG8ksTtDx5I+ahFgS/fvx8/9kefEvcBYhBUqHcL6EHIGUjUHjp4oJRmGUDCZw6C/OPUySL77v9+vdDpBCjgrUlRFmr3gQ4RrzNLomvQThDHUznBWCoLfOjLD+LKX/w7/N1N9yZI6bTVE9XfrWzRWM5v1A44ALzubTeG31+69/HwOw1402oPEQ13AP7pyw8GruUDj28AAF77h5/EZb/wLlz2C+/CrQ8cSILa/Duitif33ffYOv7xFt/ORb3qQPm1Ea0lm+SixzX6Gk3Mzv/Zt+PX2n6NL+n/27+6Eb/yri+F7eG8jINO14xUHjnpBIDX/fVNAKQzHZOppHxmnmjFB7xt9alTo7pL306vYkyqVAKQ6vR3/X/X4+O378PVv/wefPHex1E4F8avnOmxizj+sW3Ge9P3ftun7wYQpdT62inHLQGI4z3RagCZkCKMI0z9Q48XN939qGiHhPzmklx4J5ZNDupGjEtc9YWuB8RVKrDzqSj8fpL2ALFNzePlaiCbSIRVbUKFGf1HJ8n528/ejYcOjDEaECXiGPJ72OyCvbvw6mddgDe8/Io0GIUhHNxe85wn4KeedzGe+8RTxXbnXOTTZGbtuUxPb/+X15nl02gFL+M5e1YAAPc+ug4AySAoBPkV57du4iDwrIv24he/7VIAchZ++0MHzDIBwJ371vCGd34x2X7rA/sBAC97ylm49Mzjw/Y3vucWPLjfO+m/+d5bkvOoMf2LZ14AAPj83Y+FfZ/92qOoG+C33v/l5Dw+O/3EVx/GX7UdnJWAAVApMI13AgAHx1MAwGnHL3eqbWijGbVGbLbDWKz3agAAIABJREFUuNQZf8ZrLjgZ//e3XITXfdulOGFlCAA4/YRlAMBD7ftPaA81EsfyiacdB8DXgWmiRCARuQv37gp/U9YvHRS2pWctI71HK1IULgaDckdbB7xpnV8AJrf0v37fU/D0C0/Go2sTACqBh/PvSq+0cAUVQLZt7ZSkjo7/e6xk1X7yeRfjh59xAR5bn+K+xzYiR5YhsVTHRwKdbiczAcEt0mBbAG+5/qvh91s/9bXwO0kSoNA5/i737vZOwdqkCnrTZJeeeTy+95pz8epnXYAfads0t5N2jQCk7fNAOyF5+VPOwgsuPT2+J+WEd00uYyCwDjr2/097XKOvlaUMZPqX33KR17ZVzzUqC/F9g4Nu0R5KFyfbrE6fu2cVz7pob/jbVj5JJ1k8+K5ptingTa+aKu3vqpZO97AoxLf/2G378OB+P3kqCv9euzjqVA9+5Z9f2d4j0kgATkWIKyjk9FLd62v/4eVX4N+/7HJcdc6JAKQTWLGAt5SHGwPQLj/rBADAnQ+vhW900am7cepxywnnl9BdIKU9ECo8UG1aZ9T0/UB7klqF4/ejV+wcEtqDfv0FuyZ3tnWwJQ+a1UlybrzLj+uvvPbclhKxc5FfG478OrIrzz4RV559orkvciZlwz7rxBX81PMuMc8hXoxGHXR6Y90DnXvyavZ6gC2Sf+kZvkFZPLiycBhXqbIB5+eQw/nzL34Szjt5Fb/4N58XASyaqO5lnLq7Trrf059wcnAuqNxd7AcayC878/gwMPBzAXu5LnfNaWaJy2tr+t9a/i0u2/gf11ywJ+r8zlB78NchtYftR375MiMfaHcvDfD/vOCJ4tirzzsJ/+uTX4tcyhCw5PcT8suf7aJTdwOITpYYuNnA9n3XnpsMwuNpqjKypWctYmCndqa5lnSOn5Y4vyo4hz/PS648E1edcyKe9Z/eJ44FGOdXtbfYtlOnSgdZ6eZD72djUgtpr2detBfPeMLJ+N0P3daWQ/ZFkyqVagvPXUu1De04auNOsebK65gDviR7zQV78K6b7sW0qpN+4QWXno4fffaF5v0A4JlPOBmfufMRk5YEAN//9PMC4ubLIZGubtpD5PwKtHEO3nBfK9Wy9Pc/7TwAab/z7EtOkWVsnQJdNwHvpFna1c45/MS3XIR/alfAzFUQg88sEn9ge3R+dRY/nZpaB4IOB068o1r092nKX230nNdeuMdfr8wFvMnA3Wsu2DP3s52wMsQrrz2PPQ8pu1C/KUEyqqO8/p23Z7Utd5ScfMXV54Trac4vvT6t81u1Y3CSuEZNyHmgXMr5tbO/KV85XCc8N1tN4+CGVnuIqiIuUMwoXmNa1Vgdlbjo1ONMJYidZF/3yG+XBTmeOQjyxN/hszcgdjhWQMKs6/Hz+Fnhmkb0r3NSZodXfMBXXo6OauQASNUgaF8Xh7dmgzwf2GbRfkWEaCYVpHm/HOc3I2MlsgC1tZuO0ALeA4bW9HN+48Rnuzm/VCfXJtVM0fbg7CkBeh4FnqKjccDUkl9d7YHoBgvl/AbnLdVE5Qgvv1V3wJv/rWXi4n6JWpHFti0H2M7sWu3vhCfMrgkQ8iv3UXYsgK1CMSTWkmqjFR8e+KMDcbRNLec3IGfyXL4kyyPfdXud1WfGvtWuuwmSmKiu5K/vs+blEw1ZKYA3a4WTk4ds8g6DUhe0fPVqQOmy/Y0OwCTT44tIlMQoI41yQhdliWSd5fw6eTw/htdB4p92DQF64pdIezJaDQ9A24rMGZnu42JboT6zHSdFOWI70oF32tHnAdMOcrxtmtbhDKt25HCiPZ6uGcdc3RdLnd+4j75P1PlVz80caq54owE6jiZrBQweBGgpQewkO6qd36EaePoYLTvqxu5ns3nuX84Cn8YYPKlfDNdUy74kveSvI1EqjvwKXUqldctNi7lbxh2DeQIL+EBuZYXJ3y93PRv5lQoYbQeTQX6HhQt1YNwuQ3YNmBRs5Hl8vYq/aaPBZk0hv5ZxZ4//zRHvnIM4CZJffF/+u2q9zUW8B8671rfO8SN5wFvOsfd86bSAXc9KEwV+v7icnjoeSXIGdS86d2NSm46gDnTjwZlWkhHXOg0c0eETGcv4wKu5gxo15g4lRxQ1dy/n1JJRu8pVjzTtMU0SZvcLpBSgk1xotYRFTFCLdqVDl1M7rfp9UFrrxgh4GzDkN6FEqOBSMg1emMhv1Wwf8qu+Fx8ziQ4maA+lQn5ZHSycbxddIAtPKAIgSnuq+utXEaPU2VZkzmL5XEB9gbSN8lUS+g7cCZwox10HvCVJLvQ+x6lWCPfy1/J/O6SJLOj984mFSHLR3iPcz1g50TSLooj1sFbOL6l2ANx3iAGwlhLETrKj2vnVAVG9zmkdIIv3SY4B0L8D6pZKIkeWon/V4G9wfiPaJx1OC/lN9PlUGk/L+Mx7nvfGNVeHc8wI8xneZMdENqnSgCV6bVHGhc5Nkd8uxClyfrdf6oyLys/q0LmjDPBO1++nFQKLGjBtJb+EbmeHR0sBb1bilc0aDaQbkzSApHCcByqdAfrOmi4hUHPT4bQDCIsCQGMjKUBsF7yICde/A/kdGu9qqOgHo+CMNmYdJ6eBIzNam1QbRy5zGd6CugQb0CX/WLZX61m4zXSOM85UH+SXsubpFRj6GRQtFuH8OpmlashWVYSzpx3cIi7T62cZFi7b3+hvzcsB2EmUeCDWdnF+9ffUMmxaQnNQFKIf4fsj8pt3jLRmOckX6r59UBR+ct+ulCwC+aWy6UlwQhGqY/3jbWWqHHcCzMg4eOLgkGR4K1xU6mEoMy8LR34b5QMUbGIRq4sTeuV0TbGKVTCVCPbsPMETlZGei0+86P84WTiW5GLHGn33eRBMcoBqNWsCfEWxBupZ1wNs5DcsdanBmH7XdYxAp46e83O4w0n6hbzDSWgPvZDfeP95Ztlcc5VLycyyHDgQEjCoMkzrvAJGOJclCOiSmtNGVJPamPgs2rhTPqtDHzBHGYidrlZ70BnegOhkSdrDbOR3XnpPn/JvTGsjIUBc1uS7eF3Wjn2YOExSqgHfD6RasyKItIj3AjjfUg78QAfnt92wMak6kV+dFIImJVYZ+aSXc35zE0qb89s+vzqXc34F/1hLT83p3GrLLaP3oz24Vg0jnRD5Z5HfbytWOocNFtuQm/CnSHabjrdOqTyDsgjXTBxjxUEPv4tYL/w+do6S4NoO6LdrQkza0yLJhUJ+eR10LkVDtemJH0mjJQ4pQ2NzqbbnNRrjtbKEpghx53FgtBWO/PJxjGuucyeW9pkOZ+Q9+P/Y+9PzIU57aJijGiiR7b30RKlwKc3CCnjjjviQTbzof65c05XI5HDbUe38knU1bG2c9rAY5Nf/b0mCxEpHsl7yPM79ixXf/8+lzngaZ4H8qlmZTuNpGV/unmeWzQXih6UUv+7iC8/i/OoykH4mlRFIOb88b/mIOZlAN5LJFTa22fftTUPw+8nZ08gvOb+WgxgHzCT72CzOb709nN+NaWW2KWsZmxBoIE97WM+g5iINLQvkcUCY2NI9AGN1hl1LC8CnE2L//7iyJzEc2fJ/s0mJIdpPTgNHmnUqVG3dAW9yQK/r+J45/1g71rOd234TNv13r4C3gvTPc1Jni6Q9QCC/uefSk4ERm9DpVzXs4PxqfncoBwEhoZ5JRxNgz939SJuyrj7I4vx6Ddi4IUF+i3zfDsjxgv6fVDX0ysVIOZ1bSXBB5lonMGkraqLIJ19D1lbGatylsZpMcH41JaLxIAUHLrjF8/qmN477qM7w+0m1FBZEzOgS2YA3l0olThn6fkzndwebnrX1MZrFNUj5WqWbP52f7rBFEF37v4U4ae6lpfag09N6SZpYGfWsTGsKWsY7n3neGxeIH5RODKZdy1+5/tGKhAdI7UG+E3ptdC2etzxmeKvEsZZFpY/tR36liHw/FE3r2pKPF6OWjQGzrtukJdz57RjoCkW3WUAPEnnXKe2hdI7JALLtPQLePO0hfXcyY51E2hqkFAaNfFhBVlH3OHXeASTvWD97QIAZimfVcUJnuIOuJZi0camuNOBNDl5c2okv82rHeiYVZ+aETXFkE9pD97Unhobudqg9+NU8jlra10xoDxTAV9UptaEokAvK4++lr9oD1edxj4nDZq0TFGhXIbl5LWSG/GrOr5ul9hD7aPrf00jiPfn+aeVTfs+d4MJ6ntYJjG0lPhPAEk+w1V/B1VdKRDrgrVL1VtIe0Eo8tg6n4uDSWc5Z6Y3jvoj8sn1hHCQEV75/n+RCHsMD3ugbRzQ55fxS9ld6J3yivtPsqHZ+yeZBMInf1DQGv69wbFmq3zW7USX/vx6w6DxyxPh1eJCTTus8C/nlpPWcWYhTH4tlKRLaw7gLaTY6yKZpQmBMgvzWTRIRrGfRIm85Ob+T2cgvDzZaANW108TS/IwOnXNcgehIxKCJNuqcO4gsg9A8ag+k6anR0a0YdZbrkzpxprnaQ6GcgZkBb5lgQREpz/bToEFVjq4ZaQ+pc5HQHjruZZVFI7+kbUyTEkA6VnH1ob1/IScylgnkV01atM4vR6V0UKQsd/d3nxcZ1shvF35JGQg12kiX7KMV3Nf69uPa2R+wfiWlPbB+vOe+JLBSOL+xLR8Ocy5KdJENSqnzy8eUPpxfAma4cgDpJgO8/sZAs1yq7XmtaJ1ADaLoSWbTxG9ktRUqi1OTAz5+OAchu0C60JEOSedAPDcF5QGpBvAstYdYDtnKShcdWz7Rp/Mqw6FOk+RwtQfdpneWHXN+MRvF4MYdSGuJ1pJlmnU9wNb5pWUKU2JJ8ZICP5EhUTqtMzkuZInaQ4ianY3Ezqv2EFLNtlww3iD63E+WMz6bVuoYT+uoUah4D3Qp/l5cy1uyFAW0UbCRRXlZtOXkuLqO1UkdNO3BSmQxDcuFDPntaA86w9silpaj1nJlRMY705npFfA27iETp5HfJpUPDGoPxjPH9mYvtVtUE/18vhzScRgb3EG6vuZc61So2izaA0+N7c/17UYu5UY0azIn7WH2hE0hv0R9mSPJRZbza0yWNmt9AzoTJJvRqfQEMcfrBWR9LI1ns+qZDsTaDqmzLiPlIX5XH08Rn4UrZpCObRfdjRLv0HP6dNFRdSTwStk313rlm7VAKUxoD3KSySdfFFMjuPos8JgrW/DJOq02kRHnPtBctIOLeB416+iM0r6I0nKKAgfG6H85eeRqD2ifnen8qn086J2+C6fQDdW+nWYza4pz7nedc/c7525k237ROXeXc+7T7b8Xb28xt9fm4Qn5wcfuoAkVBvp3QFpD1Ax4a2eDctAllEoicCFKtJE6v4BvxELnV6s9sKWLnFlcoD42rWuUbWem87pbUfRkFvJraSnGa8lIeP5/pD3IcwdFEZDfrgGTOgfOi9wuk+lDZzlw/tj1sZY68/sD7cFwEKd1u1xoOMZAWo8p+5FGR7di3FFIJpTOmQkBynbwJG6e5WT2kYkTz+oow5u9cmAFG3UhclT+WK60LFHfl08+XFjG1WWkpAt8gqc5n9p0alUg9hM8iKdW39TiH8dn2SrtQTt97b2Mb22dS2oP/Ft09aWbtb7XsHR+gcyErpDfM3cdKePm/7eeLaKO20d76DLqF/l9tdrDBnN+CyfHSsumdaP6QJneWCO/RBNalNpDXTdJwBtXYgHSTJ+0oqmD9XRwH6frcIoCEHW2STpVqz0EZxspB5detxXw5jm/EMfHK7XnFQwxZjSurNoD0okX/26cCrITrc806fcB/B/G9t9omuaq9t87FlusQ2vz0h6mrGLIfRwV7n89gCWPYPscG3R1J5yTY+FL/NzhBFrkdw6d3y5ndN6BhS9JDQqJ/PLORJu1jWspWjq/utOiklJHoDlZA4H85p+BOrFDkeFNcnC7b5Ygv4r2UDeNiDAGOO0hDRSZpfYgo657P1LWIu+6ThwFH/CW3isgrhafuf3dRyZOo3ANDO1shSjyEgaEJoM2aodAm1Z78NuKgMgDSu2hiM9M99PoizbezhPklwXx6G/KlSCSJBez3uuMiqHPp3fcpx1S/6EVBromKZu1vtfQz8M5zLqrFBzuZKXDRoVjGu20DgZ+MU0c+hV5YUarkLyv1jq/60wxg2gPs9IbixTKpUxvrJO0RNrD4ji/MZ5GIb9M55e/awrk1kpEOriPFB0AtEku4jW4Q51zYgEKeGuvlyC/qRIEpy/QefrtW4ixn6jIukflpVVT/07Id4jfbZYE4+G2mTWlaZoPAth3CMpy2GyeBtPFVdqM2kOaHpV35v7/aZXK5dCyUeT+yYG6bqTDSftkhjdb55e2W3zOXCarWeY1GGOjmAonfD7Or0B+1XuhLEe8jAH5DcfU4txhWST8LsuoE9Mz/u2wXFCWZZrzq2kPVe3rl4geb5fWKJhJI485I3RA86q3YlQvsumNDR49D+zUfGae3nge7ilFXgcEtL2fbqNdyQf03axAPHF/FhzCj5tw2lKi9iC5/jpYTJup9sCWkwEEJJU/n9D5VX3ebPm9+ZBf55xI+9tVr4YDv4LlOZdxu85EtYjU231XNnLqFdaEjrcvffmc2kMS8Fak53SBFttpRBPgNWRQFqL86xON/M5Ob8zfKa2GpOmNI/KbU1SZ1yi2IyaEgbgXtYUGCvltA7m1EpFWdOBygk7RHrjONk83TOdzmoXm/JJJnd/YL9FEMdIeJFpvqT10pTcunJw8A6nOL9+302wr06SfcM59tqVFnLSwEh0Gm4ckL9Fdl+ybN7sQHfeFex5r/2b7GOc3R7HQmbYCElU3wuEEfOMUag9qRvbVhw6I7dbgoZdGc1arwdJHgcYOizven7vr0ex17nl0Pdk2YdmvdDksnV96p3Xd4FN3PIw3vucWAAz5VQ5QzqLag8wstR2WS8RgHtsW5tYH9gPgwVN+/xfveQx1k06ghmWB9UmNB/dvKNpD/uEG7QSqaRbnYMwKAJoYqOqAdci14jOPxLvrvzzvURgjZXiHg6sROatP6CqLVnvwz1a0PFs5iNL1uNpD4eLSZG6Qee8X78eNbRvTKh1x2biGXtWhenTzfY/jlvseF9ec/V6764XVzji/uwu+9JmjvNqDleRikQFvXf0B35PSHmzubrLPaJPWeRp944i3DjrabkqWNuoXOa9Vj6kfuPmB8Jv4sV1U0I/e9lCSlOeOfQfjRFi1m4985aFEsnGzNp5WeM8X7kva9NBAfvVq1B9c/1V8/PZ9ocz+fODB/RvhvEpwhSUfmDvGZdvWAZvXG05TAJhEjON9IvIb78e/kg/00842T28MdU0nJs+AnxjoFOC/96HbcfuDB7DTbLM15U0AngDgKgD3APi13IHOudc45z7hnPvEAw88kDvssNjzLz0dZeFwzp7V3ucUBZMlU32MQH6Nc7/1ijNw/smryTni+kZnXjc2IsYROE6gp3OqWqIOZeEEgqMR189+7VGx3UJ+tWNw5dknGE8KfLl1xMi41NOglOX46kMHAQDLwzK5zit/56PJtkkb+EABEd9x1ZnsmVJ0gC/3/Kd3fjE8J3WUl5x2HADgzBOWsTpKy0AWqCZNs+0DzMqwxNknrQAALj71uM5jTzluCSeuDnHnvjWcctwSTlgZAgBOWh0BAG578EAS8Ab45//UHQ8DyCsgfMdTzhTnRLqN/3shag9sJvHg/g2xrzTaAyAR12mGz8yP03btBXswKBzOPHE5bPOICRIENFV7SK+fTXJh0DG4XdzWPf6NhwMX9Jf9edJZkkkuaELZnTjmdX99kyjnQC3lTjjnt32I00/w7+ZL9z6OL9yjnN8ZnuU5J62iLBxe8mRZf37yn12cPWdQuF5L98T/1KorpRqIF9FG+/pSF+zdLf4+j40puhzHLQ+y+/TqTPzt/7dk/w5VVP0znnAyAOBFl58uthNSSnVy99IAe3aNstchp7GL83vPo+vYd2AszgEQ6iHV0XPb9/znH78TdTNf/E7Obn3AO2qf/GrrxCqKEE8Fzj/EQ215/8s/fLk9TzqNVHZOQXOQtAceT+L9iXZ7I/0KK70xVRctWeYdX0Z7aOL/vB7RxJrKSGVIs80ZyG/I8BbjR87fuwvD0uHNH/wKfv/Dt2On2WD2Iak1TXMf/XbO/TaAv+049s0A3gwAV1999Y4if3znN52Nlz/lrLnQq2GRX5qTtIf0mv/tld+YbNO3lqiS/9+iPbh2dqcHSC57UzXS4RkWMt3gtG5w/PIAn/3FF+Ly1/2d2G6VDZCNCQDe9uPPBBAjWP/+8/fhtX/4yRBAFq7JlqRGpSwHPWffgYYCH+idvPF7noJXX3chXvJf/kkIoYf86UHcuxGBF9RR/uGrrgmBBl11gagm06qZyWncqpWFwwd/5ptRN7MjmE9YGeJT/+/zgwoFPcOupQGedMbxcI5WDzQC5XBgYwoAeOFlcUDjztY3nbdHnlMo5HEBCDh3tvV4yJ0By/mta4PPXNq/uf3Za54mpIqAiJhoakAiRygGDP9/lQna5NXEQqX+w8sux7976WWJ2sak5klqGJKtln9DNHwpE8fobI70nXXAWwjiYSsm9Ax7dy/hrBNXwjXOPGEZd7crMbMQtotO3Y1bfvlFSXv66edfgp9+/iXmOcOy6JVsxmdPqxPVFerrqH9eVHpjsj959bXmMX/wI9fg2ZecIrY9+ZwT8fQLT8b1X3ko6deuu3hv+N1VRiuI0woITFDhbeqa/vjV1yYOky8nglLI1eedhL947dNj3/yKq/BTf/5pcfwLLj0dn7vr0U7agwPw/U87L/z9kivPwFs/dVfQMqd386QzjsdzLjkF9/asl/PYo2uT8HyApJc0TTpGvvwbz8JbP3VX+Ju+ywsvOw1/+rE7Ap+dElkARHvQyC+dn+r1unBe3KY5v1yyTATXBdoDR35lX8k1jKkMkTYoUWHP3YY4fsLQ96eevwdf/HcvwtPe8N6go7+TbFPOr3PujKZp7mn/fBmAG7uO38k277ItD46yBro+ARtd9xfIL2KnZkXBE7UBiIM8J+VXSpWAEBMyXlE5DzcsGxoPUakBR2eDGg3iYMpNRIGqclBb7JvymFKb5tQLNIIVHqOR/CPiSpICxSwjtGJa1TMd0kVYUTgUc6iGWMeOKDJeOYiAd3KDNnBPnV/ijW828NGybpqFHQCUIL8CYS3M39w4EhK2gTK8tfdTyG9XkotIiUjbaShLRnPY4otOWWIJrflsZbriiWM4dYOM2ph27DmvVyfMAXx7ntQNCtdgOOhPxQG21rd2cn4LmwpD2uN9eMN9zerrtI0Gdh2j7al8H6/T/e4dHHtL9m9GHVyUWW2Gykna30UhAQSrnhTFbM5vVSvKXtuOyYnSahfjAAIt7tm1ahDX+dUOp2VaJzw4pGxcdpDILx9fhfoCIb/t7WR6Y7lP6vwqTWF2P53kwidfaR10xpvnkpn8fnCxjfPsqXrljbfXnWQznV/n3J8CeC6Avc65rwF4HYDnOueugl9Jvh3Aa7exjDvKBrOQ3/F8s++k8Rio0rROgyb8rFBKiFH5AARBcO5XDFv9UDJNTtc6v1bDrptutGKkEAoyHgVKkbtk1ND65gGftMgXfyVcckVTMxxrvJNpvMe8S2TUqUzqJoso7jSj70o0EW7D0rGscP3UJahD1lHXWypjJ9rOfhtOZ80G3XA9wZ/tXz5aTcnx6M1ENKwc/hrpNclmaQ7HMhch+QiQfptp3YSobCobnQN0R1drShCndFgTGo80e7UZvYq0aON9a1e1IjWMokidsS5wYjMm65x9TK698IAnsT1DbdBmIb+RFsKccrUsvc2MrMRCn9CkdBVr8lk4Z2aF4zapU6kzwE5D71yc8CwSlKhC+4ttxa+i1dBUA8ti/yEnzxLddYyGIIOpeSKfeM0I6IRMbUaAd1RtiPVPB35rFH84KEQCDzpHo7tyn3R+rSx71F53ms10fpum+V5j8//YhrIcETYcxKU5XfF5MFzf2bd2HvifPJgmuVe7/KwVHYK8yLQWyyu0TyC/dR06Jx9p3c7e6vzSY1033QOT4kCScUebInfDNcOssV8DmVapwyP1SiXtgQ5r0Aine9PO74ICKw6FDQqHyTR9X4B//sfWqnBcPKc74M3znv3fi1R7sO9no2SBT9einAPDUQDm0yEOFIYMj35qoJJUvK7EN6HMPevbsCSxfH9NnQBD6J0GVMqF8nVFVxMSFJdPXVCXqFS7oftNWud3npTbm7Fh6XBwnCJ72ihmYMQG33iNAhuT2dfoa7xq5hzVXHuh7V0Bb53IoUvrtJX+OUV+D60Faa0mfUfWxICcSJ7yWNtUSZ1xLXB/T3Y95wIivEhQwtRUbieZOquaZYXqP2hI5NKMznEVBYjjLeSXO9T09vR5/Joim1w4vt0H5fwWMZU8V3twqvyc8qFTH1tZ9nSMz06xI2ME30E2LGzRfSAu//h9/a6n+00LabD4mhRhmyo6RHmRBBFjyxpAy13lVIQgdZaf1WpNVW06KCDciznaeibIl0z6GOk9WpH0U0MLkg6rG3mPedEr4lEuSk/yUJhftq7tgDdGe+BLt13OaNA6VtzRrZhwpNSAqBGeUA62XK/bh5XJro9pzm9AYBTtgXsXWl5Lt3v+KvuiUuTgRskkifxSNjZeNp44pgv59SsACplhGdP4MwGRNmMlHVi0UWY7YBbtoQhIte6K+OrWIuqm5ITLffSWc+9imKU9xL+7qgR/BXQOpXXn+zT6dqiR39KB0R7kPqvOF86FZDmWVS11zVrBWZ9UYvIG+PdLMSaL7JepfIJG1U4yuYpCzjhKC0ipMF6/6S3EVRn/N0fHa3U/6TTLSQ9Hk7kWtqY9+HNkm6Y+h8cGBPBIK0EgTX1sZdkbFkWyErwT7MgYwXeQdSVE4Dq6fSONdSfP/woVy3B+SQNwUtVmJ0E8T61DyAdGLz8WZUlCxKahq0rGCfSWadFrsglztIdqJhiSeYIxAAAgAElEQVRpD/2R36rRSRvic6eopP+/YQGCwCaQ38I7fpMF6UkeChsUURbKCnijz2CtHliWJiPY+nvoTKcsnF+2nQ34WupMSkn17+KcazO8ZagBOZ4pkKqg6P3A7MQPofztN5uqZVe/r2ipPRBlGTL5QGsFJQSr1JaD4gKVSD8D0WYmVS2cgO2hPTiWabHjuLbemkGchWPo4NbrZh/Ob26ySN87QafZu+uUVjRoJhbwQpfrUk/YTova002y4mnV+cJ1c36tQE+RLlpTANk3X+SkbMocQLIo9djeuwdyryfPEvmVjqq/X3SayalsGulX8PN0WSgRDu3T9L9Ie5Dvn1Z5+D5Bbag1zUIGHvt3lo6NOqPrTrFjzu+cNiyLPPJbdEudWaaXxKzOVgf00HHE+R0Yy0PT1gnUvDGO/E7YEsWQVXxrkCebld0siI4nAW/c0dbIL0KZ+9g0OHPsvlyvVHVaceYqecXzUhcKR5nzmm1BvrbDBqy+WgFvZNbqgWXREZwdld+/jP0cAD2RA+yAt6ExGexjFHnNl/z4fYOiAzsnUCVCvZL3kwFv/eqbb6csmDVBnrjUmdwO2JnepnXcl6bUjeoJgKI9FC5kreobFLlZ46htd3pjtrrk0n2LdH4trV1tuToWk83Y2/X1k3sbKxhBy5cd16UBfCiMKHieXyr3WXXey2dFOS5tUY4vff6NaWWsgsbJ+HbQHjT9hAecdt0torRxog5IMItzd5O06gwd14tODgbyy3jEnEqh5VMDV1g9AA9M41KWacBbfC69z1oV5U71TrJjzu+c1hVNXDousN6vEerD+N/0U+dN99f3s61J1WCkoisLF5f/NU9SZ1bjKX7DANlBe7C4o9xyKQ25o63VHrhMSh+jYL6cM6Q5m3HGq5DfOR03CkCojKXjnWrD0oXsSqmgvu3MdL2XJNXvAsaaLkdqIJxfsN8RcbDoPbq8fcxPbmRee36NmPwlnqN1fvXtrDo6y2hp1crwNmyDRTXnkFOarHbElzPTSVDrUCs0me5HqZYtJG6R5pPw5PseXl5ApoLl17B4sZs1SS+wj8m9C3L8rPcdr5kvpFV3rLFnFvVmu43aTQP7e6THO+H0aZt2Ib8TG/kN91tgv7yhMmbS72kVdRLmUXvgDinn/NK1yIHkiHHkRSvHmN02QX6dVILQPgW/JC89pyNyCk0IqEwC7OLku2JjuJ6A6BifnWJHxgi+g0zy0uS+zaQ31giHqKiE/FZpg6ckF5bs1qCMpHyN/PKBUciP8WVTlUWHm5WCVt+bX4NMyqpJtYfA+e25NEJ8P3NZ0Iha58gvb4TzopaFiwPrkUN7KEIwSJfkUg4FTq8nEahFqD2IJXQ9ocwhv7SUaAa89XPktTn4lKGaUpM4F0jLlNP35o82j9rDuOXZAunERCC/RHtglCZroOGDmpVVbGKgyXTvad2IzE1UjkUbfz/dAW95qbC+jmVfy9U/WR57e6A9qEJalIVZ96Z3E7O4xeN0BsJDbeSk6aQjgF3nSe0hR9MwJf6C1FmdJnxydtvfqlkrCINCTz7j8YnMITm/YaLutwvaA2KaYu07lMKJhdhHyjR+n5ww8olFo4ABrivcQNZFHpjGA2ODSkQH8tuwMdyUbtyBKY6POb9z2rDMI79S7WFzJgdW/7/F+SWdPy0JA9BMq07O09yb8TRG1HIliC6dzLqxneJwD4WSkYngOjUTJH+8N/Jb+QxjWuuR7hOlqmIHQ2XnTve8GaCKAoxbdmQ0nQFDfpMo3JzD2CV11r6zhXJ+MzqpQJ7zywPe0qU9l6AufYwyvFW1Wu5ui2dl14qOR14BhqzvwEzKDYH7KGgPnhKhOb98adEaaGhQ8xQRPVn2HGOtIAHQpLgRmZuAxdBdtIk01520h/xxw7KfA93X9JKxZVm1h7YsXa+qr9pDWPbPtDuiZPlyHtqJuQ+wajm/HZM/vo3iJyyzJP4E7cEAgsJxC0R+1wn5ZdccDXx7aNomxp9X6+ZGR9X/T+1LaPm6lIMrlCACzxbt8fE8HQwnkV+b9uAdY1ZGVl6eBKtWZaRt/DkLJyf/TWOviuoEPDvFjowRfAcZR0i1h5uLTJ/HeLsmp21apzNq6hi5AxvK2A6QaQYkGXU5rRsMBy7sCzq/KuCHm6ZSaNN55skmDKGm8mmdwllLI3Rfn+SisZefWTBQkt64aba0/MKR3+1AvrbDhgz51QPmaCCdKn5OzjTnd95EBpb1oVkA9lJvTtw+UGzmoj3EwB2rblVG2lw+QQXy6A8wP+d3Wvm2JiT9itjugehcyCQ1aR2n76W1v+P96mTSGK9bJ+L12+Fgcce16/J8cNXlkGXcepl0BkDLRpnvGvRheyyN2/eOv3WGN2vsOZxSZ1XdiOCqLitb2kNO7YHqsc357aY9dE2k57UN1caoTNOqFg5gznTAW0xywcZQhu5aKjNcGxhgnF+G4OrAQee4SkQjg+gR75cGvEUln6qO77WL8xspHTZi7/8ujiG/Xw/GFRO6ND032/HyzjzMGA3kl261Ma1T5JeQHMXvGw2kysK04vJjfNk0z5mrm27aQ07tYVoztQe1TBfUHmYgv0uDMlzbyjRHKhJprvNY9q0sDZYF15M8MprOoHTZlLFS2zcdaCwLzu+0exI0j/WhWQDK+dUcSGMp35d3HrUH3/lrao/WUeW3KtQ+3TT4sX2RX0JiJ3VKaaLBXVNZOJXIpj0w5Fc7jEWbBVAhSL4sbfCdUZZFWxeiy00ixGofp04soIJ2BbzRX7n2QnW3M2V6T8c4zfCmyuJicNQhBn5bCp5MqBDKZbjiReECbc8yU+2h/a4Wz1vQHhYISlj9ZqQU+r/7cLYjOuq3c1qVQyohxp1OrtoAMLUHdnx6P63ly8rooGgPcVeYYBG45OR1rWxzYWyt7aQ8QLrSu1PsyBjBd5BJXprcZ+Vbn9fELK39w1R7CAhQZVQ2EsJPgwFoKQfwjTvKj/GAmdgY61qmSq2MpS1xbybG7pNw1OFvrvPr7yPJ9eNZzu+Q83oN8Xim/+kbpux8xltsgDKT0KHGVzZnw7KI+q0dnN++CQw48ruope+u68ySOsupTvBU2n2NBiK9YhJVVyjSPm3nOa6/XnnpY8M209m0apLBnJwgzUfkgbhWO6J2X9dNmDiE+7WKIFpn1JellV0zyrJok45r/rhu2kM6admKyYmOfUyujmna1azr584H0hUXfVq5AMrdZo2W5xuFMuascD5xAjl242kd/tV1E1dzMlQsPQfj73CRE7RIe2DOdSt12ivDW6Be+b/rlhfNHXheRfU1uRZyo/YVzgW+hM5IyScWmoftgHBe0yjaAwOuOABA5wekmDn+PJjPSsrjr7sz1R5mZng7ZtK6ltX4MsLmkd/4u0tjsmSDYDJAli6ZvQHA8rDA4+tT/MXH78SLrzwDX7z3cZx90oo/p0h1fm978AAu/Pl3YGlQ4GP/5nk4YWXoG25H/7LUIlP//h1fwJs+cCv2HRjjd3/4atyx7yCuOudEAKkiBPnWjxyc4PyffTve9MpvxIuuOAP7N6bi2ntWR3jk4CTwevU7JvR6WEp0i35uVWi7dNHp2A6d0+0w3hF1Ib9WcI1lnG6wHUvf57T10SqXcH7V8r/V4erzZ5lHTEgLN303lhJBQnvoWA2iyVsfu//xDXzt4YPJYE59wn985xcByEnLTXc/hgMbU1Pnd1o3+IPrb0+yPpJ94OYH8K9f8ETzGb728BoA4JoL9rRSSb0fY9PWzfntCnjL79tqOfR7ufjU4/Cl+x7PtheNmFlmrXrs3b2EB/dvKBqImxFvwtMbH1r3t3QU8JaOe6uj0jy+bJHqN77nZrzxPbeY16WVPkBStBJ5UN7GtoP2oO73wZsfYAlv4r4zTliW5XJ0SKwHtQIiPF8aYT8gJRZ19reo89uRGY5RKWoVG1M4J5jJIuCNZEpVHEVKezA4v00EutL0xsd0fr8uTKZOla/vwr27wu95kN/veeo54bdFe/D3kucM2OBvLfnq2RsA/ODTzwcA3PrgfuzbPwYAPOHU3eGcGDAjK+rGtMZD+zcAtKoNHc7R8rDEU871Tu6+A/4en7j9YQDAN5xxXLgXICPQub3l+tv9+W0ZV0clfu5F34DXv/Tytnyp2gNd16febUyuHnVYP/C08/AXr3169hlyJji/RwjyKxI+qDr5w884P3NO/tkE8rvAQfaPXnUtfunbL8N//OdXyrJkFAC085sggJvg/BJiklN7sOTduhxjvh+Q/UOXXXbW8QCAO/etJQPJtRfuEX/v2TUCADzhFN+OHz44TtrvG15+BQDg1vv3+/gBVchz9vgJB2X74+jpBnOkh6XDB3/mm/Fnr3lar+eY1y45bXf43fXZ+nN+t14/+fvWZfrjH70Wv/8vnpqlNXQ5v3/4qmvw+pdehiedcXyy7y0/8lT86nc9OXxbskHBNebVvYpIaVsE3WMeK4MiSEqNOd+o884hJIv48v37sWfXCD/zwifiuov3iuOedVH8e2lQYmXoneEk4M0Rwupw2Znp+5zX3vbjzwQQkV/ehs85aRUAzGQsP/nPLsGTW4CHn8cT8sTVldaJhdT/9ddsnc4iaiFrjjF3YrXyhHSMFfLLJkk6QC8gv3Xd6vJHR5uXLzjikDq/1O/oPuslV56JV193IXaaHXN+57SBMSiSXXbWCXHfHB3QMy/aa27ny2UWTw+wpV8oQ1SlBrpz9qxi16jEtGoCP/DStvPlnN+qarBrVOKbzjspnMs1gGc5ft925ZnibxpULzn1uHAvfs2qbnCmmjUDMbr+DS+/Aq99zhNwRft+KRuVxbmm7DsC+W3/p2W2805exTUXSCeij8lMQkdG0xHLwKpOXpoZKLo4uFzzdpER/8+6eC9+6BnnY/eSXIzSqIUuxzhDe9AavX2MAne0kgj5Wlb2Rp6IBkiXuDV618cu3OudwLVJlfCET9m9FH7z9knfctompOD24ivOwN7dS0EfW08IaEVmzYhul7zwAufsWcXTLjy513PMa088PdbH7iQXdp3w+xaL/J7EHFB9r727l/DcJ56aPVevCnC77uJT8INPP9+sn5edeQK+85vOTrZz/r5Fr6GVrUVOSvsYqQTkqDG6ry0LF/Ryp1WDvbtH+PFvvkg4v6cet4QVhRrTRMSS/QSA77jqrIX0yxe3kzDL+aW2Mq7SIOLRoMDLn3JW+Nvi/GoZTr6SEnS2g9McHVUNNHMHtzFoflyWzKmxkGqjpj0QmFfVjUhT7JyTyTGYs02vxuccsIGh5196Gn7gaedhp9mRMYLvIOPRpF1JA+bpgHIDtJyxaYQjBr5YXM6g82ucRx0VEAc6ErMHIseYD3xcRmkWd1EP2OtKLFxrVjaN7UzqMganOZeut3CoapJ4i9t1CtrNWuGiszU6QpBfuVKRdxT6bOfXmFT1IQmsyQU3cdoP/5uMyjYv8lu1DiJ/BTqRBb+idnDSZfj5XxI989q4MjQzM44p09fWwSWFY6oNxqSR2tfaOBX150du92pHX6mzgZhQyH19g+b6Wl/tYcvIiVnUiu+Irc5ZqiLB+TjEyC+pBIyn/YIiC+dAabP5eDJrXKH9OdrDoh6b7mMHvLWT7qnNr7ak9uixJPKL9vxUtYH2cbWHrvTGlpyZ4Pyy15qkRWYPMGD9nJY2lIkz4jaL83ukaOAfc37ntC6ty81mlsoday2vhnKQ9MvEoj24lhpgnzcxZmm0HfAD+aAsRIPiMkqzKrfuAGlQ5dnk+DWr2r6mLiNHjLUcFRCRX41402PoWfe8tl16kttpMlAknSxY1icAbWxIDm2H5eQDZwW8kXMwDxJEg43mxQZFByPSPjrGtgTVZlRBqC2sTSpDxtCx43g0PL2PGHVN5lxE2ura0AVv/16fpEom/J1vt8LJMDPRSY4r8scNDOdjK7YV6TQtcbWIsuQSLPGJ+aGmPVC9WJ+mKxWWFQUFUjZiPJl1Lu3P0R4W8b35fazMmCGgO6O6YU3WAzWgbhItbY786n2c8xvUHti1eVpkOSGXEml8ouScpDuI1WVG4ZrWjWpLaYY3jjZXLLj9SBkbj4xS7iATHMpELzPvaHRZDiW29ERDOUTGG73PBc6vvjQpIkR+jhPbgYj88kYSNYBnz+61U7WmomZ1Fri6acyBVZeRI8Ymql2Q3qRckqdfW03/qROGHAk27JiQbcZ55dJeixpsuswKXARSzu/CkN+myQa8WemNw5JmRv5wM/UkILGTFPmVCS/SQXlaRQQmltGfNzEce36ubqdpubb3e+f43clxHQ6ucIwXMLoJqb05nz8sCS/K+WWcX12Wwjk2EVzI7eYoly/LwXHVy/EJyG9Vi/GEjwHWGws68RmK06K6I9KvDXKCfAKo+p2ulQedaIeCafk27vw2Xc6vSm/sEBHYBrIdFAVDd6FWkKGSXLB9HFzyuvwSeOD3o7LECV5e53en2jHnd06TSFoqMRb3zTHoZiqLns1Z5cjTHuygMEKAJmqWRtsBoKrrpIOhZZ7JdDbyO1IRtwfDcmrbySlnom6a5BwAyUyyKLw4enTsU2duWqcawDrgbbNOmxT/PzKaTtdS8mYCgnh640Pi/BZ2+RPnVz+bcX6fewXklzu/of6kS85025zM1GZQkLi0mlKMZKrj1BGetEvJ3IoW+Z1M0zgAfx3/t16hScu1vXW+L8raFdS2aOS3C4CYZVrfdavGU1jronjnlxyrQ9s3UX0ZT+te/WLpXKtL3XJLFSiSv090CvX1Fm2DwtZHp+fLJQ6ygjHpEErFzs/jtAedtVEkuVD7fMAbQ3dZMThKqykRnvYgEVyyiPzWSWC7RpppW8GeLej8HkN+vz5NIGkdKM8ikN9csA/AG2HqhAzLuPyvrx07HSlLIkTyW+SXD/JBA7ie3cHpyr+uosg5SgX4BiqWWiGdY41weRk3m3ZSGamP6WcUCu8sftYs0fmdbjmO6GaNO52H4hXIJBd2OfjfZDTwzIX8Ogp4U7QHzfl18hwgT6nZDAoi6Aya8ysGYo5I5ZFff57nWFZGwNtQI7+ZMm+3zm/f1MRdWuuL5vxym5vzq+rGVm1QcrWHdOIfkN9DQcZnJuphL9qDC4mYJlXNxqDuc+m7pytY/v9FSvAN2bu2OL+Be91R/0L5HKGjjPZgIL+a88vVHkxFh9Yh1ok/pESadIw97aE9D4rTLzi/TQKcpLJrso5b4/VOtmPO75zW5eCK4KI5OqDNcH6pouacwBAUZpzHA94i7cEJDq4eIIMGcJXu06Yrv44i5ygV3c/qNMjh1txGQn51MQj51QFLXIsQ2LwIvFwiOjKaThdHfTO2HUkuOu+XcWZmqT24cNz8nN+6SdHRkrUPK5lNLsPbZuqJFchG5pwzkTIeDJoGvLmAGpoBb4rzm0Nuth35zaD8aTnyx0nkbYGF28T16HEWxvktIudXl8W5/ERwu82qh11WOP+dmhAkR2PQDFAlw/mlv7V011YsN85zlBvorn+hfGzlkRxWzlOmUmut8NIxhYX2mOj8MqkzI8A7UBSMVVAe8CZ9DDaBTji/aVpk55jUWZ3X+d2pdmSUcgeZ5PzmUZkclcGyvNpDil6SdaEkNNDpRgEQJSJNRUhpTJumMTPK0UzXc4HmU3uIy6l+O0epgA7Or5njPWZxswbxqrb3AflEBH1NcL+OkNmt6MAW6vweZs6v63Z+yfvdjM6vF4aX+wqXSXJBS4VhOTrfJ/S14Qy0PqqmpPVxUqcBb4Wj9l23E0N7wNbtNC3X9n7vvjJlXYFxfRUjNmObVXuoFuT8cjTSknnMBX9ut2k5vFlGUmdAy2tXoEjOQuKapG0u/nlz/HOdYTGd7KZl4aofGt11jgeS+W3cMU7UHtr+xYHTEDTyyyTS9Coo5EoE76/o2Sh4jfcvVjml2kMEAI6UVdFjzu+c1qn2sGDkt+sY0clbyG9dJ9xFICpB6FSE9FzTukFVNUknFnR+Myitvj83ipqNjnZEqQDfUEeG82vmeG9VKSwHN8v5pQa6yIC3I4TXxL/VIjolegeTql5IQNEs6835zSK/87VDq/7Qva30xn4fQ36TINjNc35z5w8NZyFmZ6oT2gOhxZMq5TP7e0RHxF83g/xu86DWN0FFV5KLRev8cts87WEx989J0NG9cullt9u6aDqW0UoEAKyPo0LE7HGlRUT1qkygFfQv8yzL9Zv0rBNjFYjv50an13XK+QUMtQdOe6iVw0n7nMoMxyfkvWkPNuc3R3vQ9AzHnq0SClJHxth4ZJRyB1kX8isQiTnebK5TdS5/jAiuM2af04D8pkgUiYv7MkfkF/BoaxfyO61m6/zmaQ+ykyNptbqxZ8xhJqkGeaJ0WMh71GlNBwotJTOvFaITPDJmt30j6Htfj3HeDgXym1sKnxnwRpzfOb4TIS0WOkqOsT/OPg9InZLNoHBWIJvYr7jzfNukisuPsXxRx7uykF/i/BLymynz9tMe+jmu3bSHPDixVZv3ckVwyhaE/Ha05cLFPvpQS51ZqiNdVjinFE1IxWHWuFKE88X1Au1hcZajPfBgVF8WdZ7x7rkWbkR+/TZBX1DjU2nxbAn5FUhsk/SNXJlBOuh52gNHfnVsT+Fs5JcnwNBUyp1ux5zfOa0rkYXMjNT/1eZm6t0BbymyGff5oDBb7cErQUTag3ZIa6/2oCow1/ntuzxFluj8MpQK8E6plLmhe6XRo+TYWzJugfPb2IhhnXFQ+hp/lUfK7FYOTFvvlOhdjo3Mgtth1iSGb18k8jsoXNDitNClwKXVzm/htjyx4jZUk72knEo1xZ9DiFSUMSQLOr8t8pQEvLV/a1UWQDpu2097yPd38ri8kywTYCy2vPNeLyJ+i7l/lxqGUHs4BO2SWy4jYM78ZMwf57Ws+01U6Zy0bfr/F4r8ksKQk9+dnnWcU3swkd/WqWzS9MaFiwWvFSosnVg58ZYyaLIdpI4xLwudQY5x3Mc1y3Vsj0aTwc4tnDum9nA0WJec2aIzvLmk0rJydFAsgs6vsXwbo2zbWVrIrtNW/Azyy3V+tfC+tqzObyk7uclM2kM6kxyWBcY5GbcWFa6MpR5g68jvkaj2sOjod875PRRjbCmWuOP24ITnAt7aP+fl/IYkKQa6RG3AQt22qiHNbTBjGTk6C6nTMa3rMCEQ1yyKbFrwROc344Rs96DWV6aMf9MkFmIb2+Vmkd9FcX67MtuVhQsO2aHm/Or+OTH1+J7z649bn9QMgOmnImQ9u7/N4gPecmN8TnLOaq8cfEnSGyOiuvQ/1wDuSm/MEeNcUFsqdSZVIvgT8ORTOrZHBtHJsniVnGM6v1/31pkxSwQX9b9mrqO3lnnDvWZwjydVnZDd/XkFPnXHI7jvsfX2WDmQTqo46+OdySdufxjjaY37HtuYG/kN21kqZX+vBgc2pi2POJ7zka/sw/qkijq/apCfVnnOb1i2Vg0eYHqbm2ybR6TO7ya1p/PXixOXQzHISkcnnXx87LZ9ACzklwav/t+pKFxYmuyiPeintrLBbcW61B6AGExrcYMpmFV/mmHp8IV7HsPdj6xl4wfI+c1NbrdbwkgE2HR8ti50dztXZDYb8FbXi3HKxPtRtdA5h8fWpwB2vtoDVyzh5/Nt1nyBrr3vwERsDyufC0R+g7Z8pn6988Z7ABj1z1R78P/Xzf/f3rkHWXLV9/17uu+9c2dmH7PP0e6OdiUtK2klIa0eCG3EQ1gvkEOtEKIAl4WMqYgYcKDKcRkUEmMINlQFUkVV7JJSxpJTCS7KCUFxiBMViUORWKAVJZAAE8l6oQfSImn12p25c2+f/NF9us+re+7t6fv+fqq25m6f292n+54+59e/8z2/nxvLN5Y9xBW3X6BV0h1g7fTGdjxq3UtreIUhcl8SVF+p9Lv2wlJVh/ufPG5dA3Dbd/4ef3nfk8Y9GnXGo5YjhJ6Mwe5k9LKeZA85HYa+1X4IZ2q6oe2WrbSVvs885unb5wEA33rgGaPOqqGn8YEDgfdfuhdb5uoAgF+8vIyfPPNy8t3ia9uzMItTNjVxyqYmLjtjKzbO1HBw1ybMz4TxObVwMd979HkAwObkPIof/vx46hnWvcKNWuz59YVcq2meu9AzUKw3vfF5ezZjU7OG1+3cgAWrvqOK2Sbd677y7J34tTfudbZfe+4i3nPxkrNdzwI0CM1vveY/x4ZmDQDwzEvxS5z9LKpnohfPr9F+HO9uJnvwhUEr4uCuTfin15zZdT1magEuWNqMjTM1XLC02Sl/w76tmKkFOG93VqZ+51Y7ntVp1AJ87si52LW5CQA4sLgRAPDyctvtt5Ln67WVtnEsAPjg5acb9eonRt9a0LaMvs/63jm7N1VfsZxzrcVbDmxHGAh84B+cVsn5G0afb5adbLXTz4M2fo3+2TM2/Nob92LnxhkcPmMbLjh1AQBw5uJGbN/QwMZm1sZP3TqH7RsaAIB/8c5znONsm4/LfpqMQ4p0wVsF16I40fK/SCxtmQUA/OCJ2ADct23OKN+zMItdm5u44qwdWf2CWBe7mmju421xWWB4Yl3Nr7PgTWT9mhofXWmDnt7YZxir/5mzd3qc39WOORsbCJHW85njJwEAW+bi32OlHcfdv+eR53Hatjns3DiDcaA27AqMG3P1MP1sPxh6WTUL3rRGa51rtqHVQ7hlK6sRmnXXg/XxKw/gjv/7GF54rRV/N6mzeuuLklBJ8/UajhzagyOH9uCGP/4/ADKN7pUHdxZez5b5Bu659crc8rmk7svtDk604vNedXARt3/nkfQ7J1Y7qSdqTrvWuUaI5aRMvwcAklBn0vvAA8hdlNQtN168hBs9BuEoM6u3SU87+9PfeIN3v9tuuqTU8apGP59OPQzwptdtx3cf/iUAz4tozrRlEWq60LcoLAzy289sI0y9br578t8+/uau6wDEbfebH3tTbvmX33sIX37vIacOQO++LNAAACAASURBVByr92Srg9l6iJsOn4abDp8GAPjIFfvxlW8/lFyL1W8l+774WguNWmCUX3DqArbON/DCay3MNvo7XOjPc1HbMo1fs+ytZ+5Av+hV9bFzUxN//4fXVXZ+/VmwPb/vfcNefPGv/w7A4I1f/Xez+2QAuP7CPbj+wj3GtgtOXcDRT19tbNu+YcbZpvOmA9u929MFbxWKft990RK+dPf/c7Zv3zCDfdvm8PjzJ1APBQ7uMl+2Ns/V8befMsc+IQRm6/G45SxqC9xFbaosSNYgxGVm39Osh2kUJXuG10hvbBnGYZgd0woSkbabThQ546vuTW51Ily8b4vzW3/x3ec7v/MoQ89vj6xldCrKLHiztTJFmt/ZAiN8th6ilWTPsadlVB1d4zcu93lOYy2tTKd917ugopnU4WSrky6G2zBjDqzLrQ5OtuKHu6lda7Me4mQywM/Zxm8QJAveTI+3uge2UH8a0O9RFdPWRoc4gN6jmWP8OnVxtO1x5Xpd8AYArY5/wVuW1ck2HrO2O6y2pZ7jk634xXDOMlRnaoExnWrsq/qEEy3vy4b6dt6LSFU0DDlD/vd8SUYGwSDP5cM2Royyende835gOyf6dx7/y1c/PL9FETPUc9DL8zCbjFv2gjddTuUuaoOjs1VtUDmBgLXSG0vjeQmFfj5/tId2JLHc6mC2rvdrmeZXvVzbFPXVowiN3x4xjE7LmCjySBShHgR7yiiwGq1Rj4KBX9XxxErH2U8NgivtCDO1IH3I9Sw0bWtFuK6lBdYfSkfVb3m1kz7AG5tmx3Yy8e7anqjZepgO8PbDpuppT1urT/Zq2mmgWbGn1mj/Q/T82mV5KXt7cQapdr3qSRmux9y0L7vqe1yGehigFoj0uWnWzb5ECJHOTDl9Sfo8Rt77La3v9YsyRu0gb/ew+w3D82tVRTcMB+75tZwTgziPTrrgrULrt+geqrHX5+XOo1kPcbIVOemNYzmBf1Gbrvm1HTfKmJZSJtEezGdHD0tmSCK0YwLmDELm+ZWJ59eU2SjP+snVyHvtvdyPUYDGb480CwZ/vfPuJSyOehDqlqZOeL6T1qOme36tOiaNsOVZlKSmYAC/pzqSHs9vkhijqgwu9kANAPOW5/dEq4OTrbbT4c024od+edV9+6wlK/Lt9LT2quspsn3NmYoKBkXD0BvAIFvUoRbNfqhnabWHOFNFqZv1DFruy6bmsez6bNWjBsTllisJArJ7aV+b/psW3u/G4IaLbpvWYD2/AzuVF/23sceXZsXPeS8Y7aePxm+e5rwfTaBojCvl+U08tcqAVLZDrWBRm24YK3M1NX4bYbIwTXoSWWReWtvzq8I56ufLylQEjg7akXQkbsqg9o29QH+9/v2Axm+PVG1MAFmnant+i2QPQSDSziDP8+sr08tN4yH+q+QNdpSAThL/VJ17vcwmb8JK2qAWwylSXa9t/NZDvLLcxmpHOmVhINDxRYJIPqqVtlXH/xxliryjZaiHQSrPGabmFyh+FpXmd9UT9isPPZKFL8NbkeZXMcym1dT18AXTkva90iURRZ67QU5rdtu2Bmn8Drvf0O+/0wYLXgT7zVqa36pYa9ypVPZQ8Fure93L85DJHuL/p3F+g2whbRpCDNl38gxjde7Y+2t7fpHuE9me3wLZg5rJfiVZv2A7+taSPfR7ZqhqaPz2yFwfjF8725rC0Op4zqXqYncKZh3d8zU9xm+WitOn+U2SR1SYu3umHuLBp19KpQ224f/DJ1/Co798zXmbnG2EmV7Zs+DNt1o/DTWzzgVv40g/PLWpETUI47fQE1lg/CrPb6f7IVE9A6+udLyxfNs5shlzOnp4rWu2HuJvfnYMr7VcSRCQb/zqkogi781MbXCD21q3sZG++A+gMiNCkVNjmMZvU/PIDtMAqnLBWxpr11OmvOy9eDpnG7Fcz05vrGdxU5pfr+c31fwmx9Okg3Y4M13C6M3+lrPgTY3rryZRX+yX+qeOn8T3Hnkev3h52dsvU/M74ehyA1/j37dtztHbrcWmZhw264aLzJWSeoP2Dap5Roh+ft8b7OKmOBTJDi0kiR7Cqh1FXs1v3uBfhtdW2rj/ieNYXu0knqf4mDdcuAdb5xv4Lz98Gvc+9qJRx/jasntuT4Ol2mRpLsZS9a2y/uOCPhBWZayq32AQt3EhCafzFs8qfv1ZtH/Tqw4uAgD275zv+lzKo/3LV1ecl0a1mBJwr1utuh4FnnlpGT/8+XGvoXrKpjjsmQpRpLOYlPnCFN2QrOC2F6X2A7V6fq2XiAuTkFkLnms5fMa2Sut05NDuSo9XFn12zL49qk8HgE3NwQZxqoVBOlb5fo+quWjvgvF/1Vaq9PxmiTNcVL/Ty8ugWqhtpzdWDhvANXADQ76QbYuPlySmaXWcRBapdjf1/JqOLEPz69lPhTzUr2/LXAP3Pf4i3nv7PUl9smNce27c126d7/9vXyUMddYjQSBw36evQkdK75vOX/32m7I0qF2yea6OBz5zDeat1ayG9MAzGCiD1fbo6fv5vH13/ualePr4MvYkMQsB822x0/FEe9A9vxVEDXjnBbtw1w+fRqsTpV7fB//gWjRrAV5ebuPYKysAYNQR8Kd09dWz5onHnK3WX3f1x5KqkhSo32AQHqYNMzV8/9YrsWnWjatsJnkw63LDRUu48uAiNnv2y+NXDi7in3/zxwB8iWPyF7wdObQ7Dbk2TD575Fz8xp/dCwBoeOIj33bTxXjq+Ens37HBKfvGRy7HL15eduKWAsCt1x3Ex686MJAFLX/5jw+ni2CLuOODl+K5V5axb5v7cvPnH7o0fdar4EvvuQCff9frKzteWa44Kwsxab/sHVjciO/+3ttQCwJs2zD4OKtHP3012p2op+etDD/57LXuDKn60IcFbz5Hiepr7DU6RdSTNQOZ5xfp8Z0Fb2mCHmjxes1ZSz0pVWS5cPWFa04kiECPHWxrfuMvZinjs7I7fvNS/Nl3H03Dv73zguyF8CvvvxDHT6zS+J0GijqXjc1yD79vPzvDio0yiJ30xmukWd7YrOOsU8zz6Qve2pF0Mtnpnt8qPIhb5hqIZBw7WHVmyrO0db6R+yCZqV/9nt+OlaFLfU891FNq+66Zlrpb1G8wKA/6zsQraaM/H76sQr0OxEWpoI2sYlYLygvBNGh0r5svEc38TA1nJskubDbP1Z1EM4ogEKX7tV6Zn6k5i199zDZCr+ELKF16dZOatTDAhhHIWrXW87a0xX1xGRSDMnx8z5q6LVWmN1ZjnO+Wq7bVSyrtWhhre+11M/4Fb0i/k5Ylx1Ge2nrq0HGlDWm2x7Yb895InGFfszqmZ4Z0w0wNS1szR5QuU5yphVjcNF6SB4Cyh5FGN+B8HtwsULa53cjM0uUDquyididP8xtlAbor8PjFnUGSqa0Hj6ShUbL2S+sZuTonIZAbp3VaqMzzmzPjMGh0A6eXgSj3eAWpoOvGs2ju1++0v91ipIwdRBBmMlDskFWkfxR5ftXz3stzXwsDrCZjE5AZ10GySBvwhDoTIjWIbcNY9X3tKHLCman+eTWKADvJRZDJLCDtOL/KaPaPk3qfMip93npgDznCCCEKV9brb4g6upeq2z5SPYyp59cyBJRRDFQXNSCSwIrm+S1zDB1d8+sYL2GcFhmYXtlDVd6weur5reRwpSmaBSh3vPwZE73M9vz6UroOAz39rS0DIeOPmbKdKNTz2I84v74+TvU1vtmmPOrWGJomuRC6Btf0uOoRZpz0xsrA9UQ3UmN3u+Nqfo0Fb/DH+U2dRM51Z1tGpc9bD+N/BROOasg+faW+YtTcp1j24D1PqGl+vXF+q13wpjqQldVOaWPa3k9FpehE0um06oFIZQ/TtOBNpyqDSLWVQWeSsqlbbXTdxyuYMakXvFCOihekVvH9IKPFsDLbjTqp7KEPxq9vllA9Z70YgPUwQLujzZ6qsVtbS2B7foMgXvAWhywzNb+p57cTOdKGzDCOnEgQevg0/Vz6dflkD3G57vkdf9Nx/K9gwlEN2dfX6SkSdYoG8TzMDG+RM4WqZ3irYmBVxz+52unpQdLvg+v5DSBlPBXk02zmvdFOC1XJPVQnOGz5SOWe34KXRr3MvuxRkRjo92BU6kSqIyxog9OMuhWVan4LPL+q3+nFaRPLHqQT5zcs8O5ms7Eez2+yfzsNZ5adSzk52pFH81uw4C0IBAKRyR6KXvKrmP0dNuwhRxw1oPm8bHo8QB17sVo3qMGyE0m0rWgPsewhqnTBm+pATrY6pT2SjuY3+X+r7WboqocilT3QLlgf6vca9st/veLOuEhjbyx4E27bGgWKol+Q8ccMfTm8eowa/fD8qjHV94KvZpx6+Q3qyRoX5XVV3Ym+4M327qrvRJrnVxWa0R7scGaZV9g2jO0Fb/Yl1IIgNypSvWJnw7AZ/yuYcGqB38CNt5l/FfrCnW5tgnTBW6Q0v6ZhocKmxN+tYopZeX6jdcgeXM0vEBu/vimb1bbqXDhyrAd134c99Wrr0teLqbE3y7qNBDFMJm1akpiYWbzYh/UTNSb57nKZZ6sWBGgnkRkATdcbCEgZJ2CyIzqov3GyCiT7xX9T764nvXHd0gPbul7d02w3oziNu5lsI7uGyZJVsYcccdLFRZ7BPU/2UCsYqPOwxe76Ax5qmdOAarxsaqA+2WqXHqht71Yap7ATeTx3YuoXvFVFXnzpYdUDqF7S4TxTmmHpektGo0Hpz0MV0S/IaKH35fx1deK70Y8kF0VxfnvxNNdDgdVIj/NrShs6UjoRHVQdIilTSUcmezCjPQif51dFgtCGV934jc/ljqHpDGnBS35VYTOHyfhfwYSj2phvLBPCb4SUkz1kXlN7P+X5TR/cikKdAbHmt+zKUTfJRXzMlXYE+8W0HgZZnF9av+sii/Yw3PvYj6n91LB3pA35WRNHZQqwag00GS0MWQ77sJS+yB66iPbQC7Uw9qg60R60heZ5ml8VwQjQQ52Z3l29nnYkCGOhZKDHDnZvWBiK1AFWNPtFzy/pO3mJLICscdplRfFK81AP3EpiIJrpjQMj2kM1oc4S47fVKf0g2fuFmg7KzXonpn7BW1Wo33/Y/V8/FnWlGnuPZlzhLHgb9o1IMKcl2bVPGtT8+sluRXXWbyp7KIjz29vxAq8DyTRwTc2v+k4SrjfeloY6s+P8arM+WiQIu6ymhzqT/lmsPM0v4/ySgRLkeHeLyspMB2d62Y7xf0ALgVJhqDD1IC2vRqWNmDzPr1fzq8X5pddkfRRJcQZJPzrg1LAvfKbMfUZlCtBckMI2PmnofTlnrzLUvejHgjffo13G+aOeRzUGpU6tQJc9xN9NQ50lf40Fb1YdvJ5fLRKEE+pMZEkuJOBYvyqmf1yPfAfAqPR562H8r2DCyaZfevD86nrdHo1fv+fXenAr9Py2OlH5aA9WPTKNlO+eCC1zTanTkYQ8acCg6cfUfp6kw9D8FkRXGSa+F1YymbAPy1C3oh+aX9/i6DILppWndmXVjDiUjlnagrfAYxjDKsu8u660oSgSRKB5fiHda6kF+U4iI3nWBPQvNH5HnOwN0S0T1kOiMA3XLs+T7POjp14CYDbummUYVxHqzIhJ2oMR06xnOcTzPL+AxxsecMFbVaSLwoYe7aEPnt+cMG6G7AF2We9xP/sNZQ+TzbBfPEcJldlwVhsb1osaD7fON5wydeubPZxP9RH/7p7H4+NbY3c7cr276jeOtBj76tyqn2pHSZILbb9Gavy6kSBCIfD0S8s4fqJlHE+/tkeOvRZ/dq5hstpcbdgVIMV04/m1Db0yCyPUPj9/4QQA4OxTNjllK6sdBKKat76L921JP/diNPz6ZfvwXx94Buft3ow9C7NGmXnd5n5x/MLpDHX2tX90GV5MOrsqaNTypwQHST88v5nswTz20pY55zuK7Rsa+K0r9uPS07ZWXp9eufW6s/Hwc6/iirN2DLsqpI9MVw9WzJtetx2fuOoAbj58WmXHPHf3Jtx8eB/eddGSU3bFWTvx65ftxQcv7/58Vx3cic/91U/wRDK+2t7dKJKp6zrVA+uSiOQ4qec36Z9a7TiWb+jR4yrNrz7eLW5uAgCeeOGEd8GbbtDbtsPuzbO45S1nYPsG94VgHKHxO+JksXx9xm/ykFhldkaXblDHUBER9m51B/vl1agyj9LCXANXn7OIu3/ybE+e2GY9xDc+crm3zJB7BPY9yT6PkINuIBzev63S441KnN9+GL/Z4GJe23l7Nqef7WdACIHfe/vZldelDLe8Zf+wq0AGwLCfvVEiCAQ+cdWZlR6zWQ/xB0fO85bt2DiDf3n963s63r5t8zhjx3zqVbXH7rZnwZue4S1LixyXZZ5f6YQzSyNBeLK/XbR3IS7rSO+CtyvP3omHn3vVOJciCARuve5gT9c9ynBubMQpSrOYvT3m7182zq8RGzA5wXK7U2n80DRTWGUxWvM93mZqUA4c62FUNL/91NraBu6khfkh4w27sPFDH+eECmGqvLseza/6emSEOrM1v1GyqE2XKeplBZEg4LYjo2+b8DZG43fEydP1xmXx3yIjpFuJQmb8msG0Ad3z26lUS1i1B7HI82tmR6rkdFNLXjiwgdejj7oLN4HKZAV4J+MNjd/xw5ehT42tekQHO8lFJ5JAYRY3K8mFlf1N7670SBCAf8Gbr76TCHvxEUeNwT5vZVEWmmz/cp5ffb9Qkz1UKXqvOlOYmdnOLAsMz28lp5tashiYQ65HPz2/BXF+6fklw2ba1i1MAsYYlPzVF7zZoc50za+9qE0IEYcliyJH2qCcE6tqMVxOJAjpiQ1XlMZ90qDxO+LYwnhfWVEb7dZRq46VyR5cz+/J1U6liQXqqee3muMZb62O51f/32Q/1P2mlhMObPD1GJzsQf//KEV1INMJm+D4of9maRxhLaJDmt4YZplM0hu74RdF4t31z9S2O67mV/cY+2UPuue35IWOCTR+R5yiNItZEOz8/bvVt9rpjY2g2WmMwvLZ2HzUa/mGfanj6Wmdbc0vZQ+VoXTfVQaVL1ePQcoeqBknowPb4PgRemYfdRlCpvlVf5XsAYkH1zxePQyycGbadjPOrzRmCezsb3Yr0qWDk97EaPyOOEXRHlQHaMcH1Old9mDmHgfMaA9VrrDvp+bXPiazI1WH6lyL2t1g6lH976iuyJ7h6EdkCULKwhf48cMcg+K/+oK3LJavcgohLZPSHbdqoUjTG+tl9dA0qL2e38jSWFjldn0nEfboI06Rrlc1ap92x95/LYQQCIQme/BofmPZQ4We34qjBhiaXyf2cfaZA8f6UL/bsI3ffhqktmFNnS8ZJSbdMJlE9C7Et+Atz/MbSVe+EO8b5KQ31qI9RFb2N60McD2/XPBGRoZuNL9FsodeFpPFAvoBRnsIq9X8FqV11q+Hi0XWR03zVoxCPfqBbVgzwgMhZD34oj0EmuwhdcbCHPNVJAh73KqHIpUvBB7Pr4rla4zlWiQIH/pL/qSPkuzRRxz11uZ7Ccs0QflGSC/2QV44sFAzfhtVan6DfMO+DGacX7OM0R6qY1RkD/0MteYYvzU2GkJIebzRHjwL3lShPr7HRqx5vFj24IYz0yNB2F5h1a+1lOfX0RG7BvqksqbxK4T4qhDiOSHEg9q2rUKIu4UQDyV/txQdg5RHtUWv51d7M8zfv/sGrBuPpuZXJbmoLsMbkBlRVZlQhubXlj149FakHFlKzuHWo59Tv47sgZ5fQsg68I1Bvlm0VPZgeH7d/q4eBNmiNk8kCBUD2Be5aTWVPeT3c5M+TnbTo98B4O3Wtk8C+LaU8gCAbyf/J31AGRo+IzbT/Obv34vswfSOuoZwqx1VOtWsDIyooulz3WBxk1zonyf8qe4zqi12hh3uoY/YMocq41sTQqYP1aUIkY2vxoI3aS1406I9SEjHGK2FIgln5o5pjVA3jPV9skgQqi469PxqSCm/A+AFa/MRAHcmn+8EcH3F9SIJRbF8u5E99DI1HObIEHSjsspFRsrAqMqI0t9aHc0vZQ+V0c2Mw7iimobt+eUCI0LIerBj+wKa51dmSS4yz2/8N432YB2vFgSptMEuEwJ48KmXkv38emAf9PyuzaKU8hkASP7uzPuiEOIWIcRRIcTRY8eOlTzd9HJ4/zYAwI6NTafsutfvAgBccOrm3P17eXur5XiZwxw5xHpRx6rKhjLDtJhlXPBWHUtbZgEAF+4dDbXTrybPQRVce+4pAICdG2ecsoW5Og6dulDZuQjplUOnLmBhrj7sapASpI4sfVvRgjc72oMn66RKVmEPyy8vt/Hwc68myTGy7cq4VfH8HYN6ijy/tX6fQEp5O4DbAeCSSy6ZPFdRn/ng5afjxouXsLHpdnhXn7OIR//outzUx53IDY9SRJ6XWZ8C7ofxW1XUAF2PbNfTTNdcyemmlsvO2IYHPnONt00Omkf/6LpKj/c715yJD7/1DO+13fOpKyd+QCCjzdc/fHgiZ1ymAV/YUmPBG5TsIS4zk1X4DNVM2mD3S+++aAl/87PnnOxvykHU8mRyjcuZ4W0tnhVC7AKA5O9z1VWJ2BQZGXnTsarh9mKs1rqQPVQ5+AfalE8V5C3Yi8+VfeYU9voZBcMXiH/LKn9PIUTutTXrIRo1vjmR4dGoBWjWw2FXg5RADUl6d6U7gNJgD0l5XQtL5ktvXE80v1HkjmnzMyE60o0BrCJBZJlc3YVy2XdLXebYULYnvwvAzcnnmwF8s5rqkKrw6YvW3CcnoYYpgq+gctaxqlrwZqZmtBe8Tc90DiGEkNHCN7NqGr9mjP00IUUU+aM9hAFWoyg3AYZaDOeLBLHS7iTnsvYrGEMnjW5CnX0NwN8COEsI8aQQ4kMAvgDgaiHEQwCuTv5PRoii5Bh5ZNMy5vZav2QPXaRn7ul4uue30Pit5HSEEEJIV/gcUqE2+5lpfmPMZBWeaA9B4vn1RHuoh/ne3UYYFJbZ9Z1U1tT8Sinfn1N0ZcV1IRVSlBZ5zX0GLXvoQ7xYW9erG8aT/lATQggZLbyaX4/sIfX8hpnn15/kwh/OLC4TuYksapph7CtTTPooSQHbhKIadS+Lu5S31PaaFiWPWA/qPLIPCzhsA1f/L21fQgghg0SNO/rwk8Xy1eP8xmVZQoqC9MaRPwGGPlvrM5rTBW+FEsfJHihp/E4oZTS/6i3UpxHKjltB5dSxVBzDARi/ukE/6Q81IYSQ0SIbX91tnUimmU7V+KucTlkiC/N4sa43AuBqfs2wn5aBayx4c4+Z7dftlY0nNH4nlDLRHrIkF+Z2I4RYlbKHVPNb2SFT3GgPNH4JIYQMh9Qh5YlKpBa8mdnYkmgPOQveaqGWwtgpy9fu1sIAK21/qDND4jjhi2No/E4o69H8urKH/jwQqfHbB+vXricXvBFCCBkWay14s7O41bWEFL70xnUtw5vrwc0f70zNb77EcdKHSRq/E4qdO7wb8mQP/Qp8rc7Xj6Dtdj3tWIeEEELIoEjj/Grb0jEwcmP51mvK86tkD66XNo7zK9cYs23Zg675NetYm6IZUhq/E0qaH7yH9psueLOnQvqU3lgdqqoMbzpFKZrp+SWEEDJIfM4lNU5lC9ey76dxfnMiOtSTaA95hrGiKNpDsVyih4sbQ2j8Tihl9LRZkgtzuxAiNYCr9Jr2U/Nre7yFmJ43WkIIIaNFOhurDT9ZuE83IYUZ59efja2dRInwSSLs86b7GXF+rf00o3nSdQ80fieUMnpaZeD6pBLqTbI/C94G4Pml8UsIIWRIKKeq6d21Frxp31epiJWu1x61amGSxQ1+Xa/CMXADPQawbVBPT5ILGr8TyuKmGQDlNL++Rq/eJKucCpmbiXPUb56tV3fQhMBq2Ybml62eEELIAFlzwRs8EoUki5sEHE9sGACtToQTrU5P0R6CQODx5094y3TPb5WOrlFkzQxvZDy57aZL8D//7lnsWZjteh/1INYKPL9VRns4fMY2fPbIubj+wj2VHVMRWtZvUWdACCGE9JNa6kByjd8oiheu+RJMqfTGdtnZp2xKP9se3DeevjX9bA/Z//D8Xfj+oy94y4QQ+Nz15+Fkq40t840erm78oPE7oezYOIP3vmFvT/uoh0ufMlEo47FKw1EIgQ8cPq2y4+nUg/w32kkX8hNCCBkt1BhkJLmwFrx5IzpEEaLILdu/Y0P62R7TtmmGq20Yv/nADm0/dzC86bJ9XVzN+MMJYJKivLp1T05kZUxWGe2hn9Rrlud3ikK4EEIIGS1qHuM30D2/noVrtSDI0htbZY1a/pgWFox3ugd5modCGr8kRRmIdVswi/54fvuJLd3QZQ9jcgmEEEImBCV7EJZ4txaIJMmFdGSF9VAkoc580R7yxzRRYOCGIR1BAI1foqEePL/swR8GbVSxvdd1PvCEEEKGhBqD7Lj2QRqyLE/2oAxjOGWKohCk9pjNyEcxNH5JSqb59cke4m3jInuwDfhpCuFCCCFktFDjqh3aMxQilT24YcniRBZxmbsYTlE0LNuGMRM+xdD4JSmZ7CHf8zsuqYFrTrQHPvCEEEKGgxpf25bnt6Z5ft2EFEkKY19Zl+tYivTA4zKe9wMavySlUPagFryNycNSD/Pfkqf5gSeEEDJ41BhkJ54KgtjzK32e31D3/Jpl3aYiLpY9dF//SYPGL0mppcav2yzyUh+PKvY1+GIXE0IIIYNAOZU60vX8dqT0ShtqYYDVyJ/euN615tfy/HL9CwDG+SUaQYHsQb0tVpnkop84cX5rfM8jhBAyHJTnt9NxPb+dnAVv9SCO9gB4Uhh3uY7Fifage36neFic4ksnNkUL3tTDNT4L3qxoD9P8lBNCCBkq9RzPbyiU8euJ85tqfqXj3TU9v+751LaiBW/TLAGkRUBS1ENh62WB7A1xTGxfN9qD55oIIYSQQaA8tXaoszAQ6ETImG2XhQAACT1JREFUkTYEWI1UnF/zeGIN7W46W2t7fpnwCQCNX6KhHgo7UgKQPSTj8rDYnl6fQU8IIYQMAjUGOaHOAoFOlLOoLYg9v9KjB9bxlWXrdIT1Xf/naYPGL0lJjV+PoRjmPEijSlGcX0IIIWSQqDHIDnUWBgL/+f6n0WpH3gVvDzz1EjpRsfHrky/keX5Nj/F4jOf9gBYBSVFvpg2P5leIfMN4lPjda88C4EZ32LW5OYzqEEIIIVjaOgsAuPrgorFdOZZ+8MSLjnZ3NVns9vTxZa+uNz2Gp+yqc+Lz7F6Yzd1vim1fGr8kY6YWAnBTA+vM1sNBVacUH33b6/DYF37VeRPeuYnGLyGEkOFw9imb8PDn34HbbrrY2P7Fd58PAHhlue14Ym+8eCkpW/V6ad965g4AwFzDDdz1lfcdwkOffwfOX1rIrdM0e34Z6oykFD0GMtEpzTZG2/glhBBCRhFfJKX5mXhMPdHqOMboXDLevtbqePW5alvTMy4LIdZc6zK9pi89v6RHRt3zSwghhIwL+phqO2KbWlmRl7ZZMo79qhVzeJqg8Ut6wvfmSgghhJDemS0wcE3DON/4LbsWZ6XdKbXfJEBLhvSElNP7pkgIIYRUiS5ZsIMS6TJDn+xhvaPx8mq0ziOMLzR+CSGEEEKGQLee3yLZQ1mfFD2/hAA4d88mAMB5yV+dy87YBgBY2pIfNmXU2bdtbthVIIQQQlL06Eq2tGHzbD397AtVn43L5ca2vVund0xktAeS8itnL+J//+4V2Ldt3in7rbfuxzvP3429Y2xAfuufvBknWtP7pksIIWT0OH9pM3705EuOtGFhroFt8w08/1rLq/m95c1n4B3nneIds4u4959dhWOvrOCc3a6ja1qg55cY5D1EQSDG2vAFgPmZGnZsnBl2NQghhJAUNe76pA1qxjIvhXGvhi8A7Ng4M9WGL0DjlxBCCCFkaNQDfypiIIuw5Csj5aHxSwghhBAyJFSoMp+0QSWqmOZsbP2Axi8hhBBCyJAo8u6qBXG0fauFxi8hhBBCyJDIZA+uhVsLgtwyUh4av4QQQgghQyLz/BbJHgZapYmHxi8hhBBCyJDINL++Mnp++wGNX0IIIYSQIVEvkDYoSYRvMRwpD41fQgghhJAhoTy/vizFNcoe+gKNX0IIIYSQIaEiOkSRa/5S9tAfaPwSQgghhAyJWuLWjaRr/BYlwCDlofFLCCGEEDIklOe3U+T5pfVbKTR+CSGEEEKGRL1A85smuQCN3yqpDbsChBBCCCHTyuH923Hl2Ttx48VLTtnV5+zEz37xMq45d3EINZtchPRoTPrFJZdcIo8ePTqw8xFCCCGEkOlECHGflPISeztlD4QQQgghZGqg8UsIIYQQQqYGGr+EEEIIIWRqoPFLCCGEEEKmBhq/hBBCCCFkaqDxSwghhBBCpgYav4QQQgghZGqg8UsIIYQQQqYGGr+EEEIIIWRqWFd6YyHEYwBeAdAB0PZl0SCEEEIIIWRUWJfxm/A2KeUvKzgOIYQQQgghfYWyB0IIIYQQMjWs1/iVAP6HEOI+IcQtvi8IIW4RQhwVQhw9duzYOk9HCCGEEEJIeYSUsvzOQuyWUj4thNgJ4G4Avy2l/E7B948BeLz0CcuzHQClGaQsbD+kLGw7pCxsO2Q9sP3E7JNS7rA3rsv4NQ4kxGcAvCql/FeVHLBChBBHuRiPlIXth5SFbYeUhW2HrAe2n2JKyx6EEPNCiI3qM4BrADxYVcUIIYQQQgipmvVEe1gE8A0hhDrOf5BS/nUltSKEEEIIIaQPlDZ+pZSPALigwrr0k9uHXQEy1rD9kLKw7ZCysO2Q9cD2U0Blml9CCCGEEEJGHcb5JYQQQgghU8PEG79CiLcLIX4mhHhYCPHJYdeHjB5CiMeEEA8IIe4XQhxNtm0VQtwthHgo+bsl2S6EEF9J2tOPhBAXDbf2ZNAIIb4qhHhOCPGgtq3n9iKEuDn5/kNCiJuHcS1ksOS0nc8IIZ5K+p/7hRDXaWWfStrOz4QQ12rbOa5NGUKIU4UQ/0sI8VMhxI+FEB9PtrPvKcFEG79CiBDAvwHwDgDnAHi/EOKc4daKjChvk1Ie0kLDfBLAt6WUBwB8O/k/ELelA8m/WwD8ycBrSobNHQDebm3rqb0IIbYC+H0AbwRwKYDfV4MWmWjugNt2AOBfJ/3PISnltwAgGaveB+DcZJ8/FkKEHNemljaA35FSHgRwGYCPJr87+54STLTxi/iHfVhK+YiUsgXgLwAcGXKdyHhwBMCdyec7AVyvbf9zGXMPgAUhxK5hVJAMhySRzwvW5l7by7UA7pZSviClfBFxkiCfUUQmiJy2k8cRAH8hpVyRUj4K4GHEYxrHtSlESvmMlPIHyedXAPwUwB6w7ynFpBu/ewD8XPv/k8k2QnR8aboXpZTPAHGnA2Bnsp1tivjotb2wHRGdjyVT01/VvHBsO8SLEOI0ABcC+B7Y95Ri0o1f4dnG8BbE5nIp5UWIp4k+KoR4S8F32aZIL+S1F7YjovgTAPsBHALwDIAvJdvZdoiDEGIDgP8I4BNSypeLvurZxvaTMOnG75MATtX+vwTg6SHVhYwoUsqnk7/PAfgG4mnFZ5WcIfn7XPJ1tinio9f2wnZEAABSymellB0pZQTg3yLufwC2HWIhhKgjNnz/vZTyPyWb2feUYNKN33sBHBBCnC6EaCBePHDXkOtERoiCNN13AVCrYG8G8M3k810APpCspL0MwEtqyolMNb22l/8O4BohxJZkmvuaZBuZMqw1A+9C3P8Acdt5nxBiRghxOuKFS98Hx7WpRAghAPwpgJ9KKb+sFbHvKcF60huPPFLKthDiY4h/2BDAV6WUPx5ytcho4U3TLYS4F8DXhRAfAvAEgPck3/8WgOsQLz45AeCDg68yGSZCiK8BuALAdiHEk4hXTn8BPbQXKeULQojPITZkAOCzUspuF0KRMSWn7VwhhDiEeOr5MQAfBgAp5Y+FEF8H8BPEK/0/KqXsJMfhuDZ9XA7gJgAPCCHuT7bdCvY9pWCGN0IIIYQQMjVMuuyBEEIIIYSQFBq/hBBCCCFkaqDxSwghhBBCpgYav4QQQgghZGqg8UsIIYQQQqYGGr+EEEIIIWRqoPFLCCGEEEKmBhq/hBBCCCFkavj/Lxqv7QTq2H0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(summer_temps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11e5fc2d0>]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(fall_temps)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK, so from these plots we can already see that the temperatures in different seasons are quite different, which is rather obvious of course.\n",
    "It is important to also notice that the scale of the *y*-axis changes in these different plots.\n",
    "If we would like to compare different seasons to each other we need to make sure that the temperature scale is similar in the plots of the different seasons.\n",
    "\n",
    "### Finding data bounds\n",
    "\n",
    "Let's set our *y*-axis limits so that the upper limit is the maximum temperature + 5 degrees in our data (full year), and the lowest is the minimum temperature - 5 degrees."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Min: -33.888888888888886 Max: 33.888888888888886\n"
     ]
    }
   ],
   "source": [
    "min_temp = temp_celsius.min() - 5\n",
    "max_temp = temp_celsius.max() + 5\n",
    "print(\"Min:\", min_temp, \"Max:\", max_temp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK, so now we can see that the minimum temperature in our data is approximately -29 degrees and the maximum is +29 degrees.\n",
    "We can now use those values to standardize the y-axis scale of our plot.\n",
    "\n",
    "### Creating our first set of subplots\n",
    "\n",
    "Let's now continue and see how we can plot all these different plots into the same figure.\n",
    "We can create a 2x2 panel for our visualization using matplotlib’s `subplots()` function where we specify how many rows and columns we want to have in our figure.\n",
    "We can also specify the size of our figure with `figsize()` parameter that takes the `width` and `height` values (in inches) as input. \n",
    "\n",
    "Before filling it with data, let's create such a figure containing 2x2 subplots:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x11e61bd90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e24b0d0>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x11e216bd0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e2e72d0>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(12,8));\n",
    "axes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that as a result we have now a list containing two nested lists where the first one contains the axis for column 1 and 2 on **row 1** and the second list contains the axis for columns 1 and 2 for **row 2**.\n",
    "We can parse these axes into own variables so it is easier to work with them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "ax11 = axes[0][0]\n",
    "ax12 = axes[0][1]\n",
    "ax21 = axes[1][0]\n",
    "ax22 = axes[1][1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have four different axis variables for different panels in our figure.\n",
    "Next we can use them to plot the seasonal data into them.\n",
    "Let's first plot the seasons and give different colors for the lines, and specify the *y*-scale limits to be the same with all subplots.\n",
    "With parameter `c` it is possible to specify the color of the line.\n",
    "You can find an extensive list of possible colors and RGB-color codes from [this link](http://www.rapidtables.com/web/color/RGB_Color.htm).\n",
    "With `lw` parameter you can specify the width of the line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Set plot line width\n",
    "line_width = 1.5\n",
    "\n",
    "# Plot data\n",
    "ax11.plot(winter_temps, c='blue', lw=line_width)\n",
    "ax12.plot(spring_temps, c='orange', lw=line_width)\n",
    "ax21.plot(summer_temps, c='green', lw=line_width)\n",
    "ax22.plot(fall_temps, c='brown', lw=line_width)\n",
    "\n",
    "# Set y-axis limits\n",
    "ax11.set_ylim(min_temp, max_temp)\n",
    "ax12.set_ylim(min_temp, max_temp)\n",
    "ax21.set_ylim(min_temp, max_temp)\n",
    "ax22.set_ylim(min_temp, max_temp)\n",
    "\n",
    "# Display figure\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Great, now we have all the plots in same figure!\n",
    "However, we can see that there are some problems with our *x*-axis as we haven't linked that axis to the dates of the observations.\n",
    "We can change that with a bit of `datetime` module magic.\n",
    "\n",
    "### Converting our date string to dates for Matplotlib plotting\n",
    "\n",
    "We can start by importing the `datetime` submodule from the module `datetime`, which is part of Python's standard library. It has also it's own [documenation page](https://docs.python.org/3/library/datetime.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With `datetime` imported, we can now create a function that will convert all of our dates in `date` to a special representation of that date data that Matplotlib understands as a date for plotting.\n",
    "Before we can define and use our function, however, we'll need our dates as a character string array."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "winter_str = winter_dates.astype(str)\n",
    "spring_str = spring_dates.astype(str)\n",
    "summer_str = summer_dates.astype(str)\n",
    "fall_str = fall_dates.astype(str)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK, so now we have our dates as strings in `<season>_str`.\n",
    "Now we can create our date conversion function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert(date):\n",
    "    return datetime.strptime(date, '%Y%m%d%H%M')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`datetime.strptime()` is a special function in `datetime` used to convert strings to `datetime` objects.\n",
    "In our case, we will convert each value from the format `YYYYMMDDhhmm` to `datetime`, where `YYYY` is the year, `MM` is the month, `DD` is the day, `hh` is the hour of the day, and `mm` is the minute in the hour.\n",
    "\n",
    "Let's put our function to work."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['201309010050', '201309010150', '201309010250', ...,\n",
       "       '201312012150', '201312012250', '201312012350'], dtype='<U21')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "winter_dt = [convert(date) for date in winter_str]\n",
    "winter_dt = np.array(winter_dt)\n",
    "\n",
    "spring_dt = [convert(date) for date in spring_str]\n",
    "spring_dt = np.array(spring_dt)\n",
    "\n",
    "summer_dt = [convert(date) for date in summer_str]\n",
    "summer_dt = np.array(summer_dt)\n",
    "\n",
    "fall_dt = [convert(date) for date in fall_str]\n",
    "fall_dt = np.array(fall_dt)\n",
    "\n",
    "fall_str"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What has happened here is that we have created a new list of `datetime` values using list comprehension, then converted the output to NumPy arrays for each season.\n",
    "If you don't understand everything at this point, don't worry.\n",
    "The important thing is we're ready to plot again!\n",
    "\n",
    "We can set things up the way we did previously."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the figure and subplots\n",
    "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(12,8))\n",
    "\n",
    "# Rename the axes for ease of use\n",
    "ax11 = axes[0][0]\n",
    "ax12 = axes[0][1]\n",
    "ax21 = axes[1][0]\n",
    "ax22 = axes[1][1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we'll add our seasonal temperatures to the plot commands for each time period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Set the plotted line width\n",
    "line_width = 1.5\n",
    "\n",
    "# Plot data\n",
    "ax11.plot(winter_dt, winter_temps, c='blue', lw=line_width)\n",
    "ax12.plot(spring_dt, spring_temps, c='orange', lw=line_width)\n",
    "ax21.plot(summer_dt, summer_temps, c='green', lw=line_width)\n",
    "ax22.plot(fall_dt, fall_temps, c='brown', lw=line_width)\n",
    "\n",
    "# Set y-axis limits\n",
    "ax11.set_ylim(min_temp, max_temp)\n",
    "ax12.set_ylim(min_temp, max_temp)\n",
    "ax21.set_ylim(min_temp, max_temp)\n",
    "ax22.set_ylim(min_temp, max_temp)\n",
    "\n",
    "# Turn plot grids on\n",
    "ax11.grid()\n",
    "ax12.grid()\n",
    "ax21.grid()\n",
    "ax22.grid()\n",
    "\n",
    "# Figure title\n",
    "fig.suptitle('Seasonal temperature observations - Helsinki Malmi airport')\n",
    "\n",
    "# Rotate the x-axis labels so they don't overlap\n",
    "plt.setp(ax11.xaxis.get_majorticklabels(), rotation=20)\n",
    "plt.setp(ax12.xaxis.get_majorticklabels(), rotation=20)\n",
    "plt.setp(ax21.xaxis.get_majorticklabels(), rotation=20)\n",
    "plt.setp(ax22.xaxis.get_majorticklabels(), rotation=20)\n",
    "\n",
    "# Axis labels\n",
    "ax21.set_xlabel('Date')\n",
    "ax22.set_xlabel('Date')\n",
    "ax11.set_ylabel('Temperature [deg. C]')\n",
    "ax21.set_ylabel('Temperature [deg. C]')\n",
    "\n",
    "# Season label text\n",
    "ax11.text(datetime(2013, 2, 15), -25, 'Winter')\n",
    "ax12.text(datetime(2013, 5, 15), -25, 'Spring')\n",
    "ax21.text(datetime(2013, 8, 15), -25, 'Summer')\n",
    "ax22.text(datetime(2013, 11, 15), -25, 'Fall')\n",
    "\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Not bad."
   ]
  }
 ],
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