You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@sdap.apache.org by le...@apache.org on 2017/10/27 22:39:59 UTC

[22/51] [partial] incubator-sdap-nexus git commit: SDAP-1 Import all code under the SDAP SGA

http://git-wip-us.apache.org/repos/asf/incubator-sdap-nexus/blob/ff98fa34/esip-workshop/student-material/workshop1/5 - Student Exercise - Answers.ipynb
----------------------------------------------------------------------
diff --git a/esip-workshop/student-material/workshop1/5 - Student Exercise - Answers.ipynb b/esip-workshop/student-material/workshop1/5 - Student Exercise - Answers.ipynb
new file mode 100644
index 0000000..95586c0
--- /dev/null
+++ b/esip-workshop/student-material/workshop1/5 - Student Exercise - Answers.ipynb	
@@ -0,0 +1,690 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Step 1: Notebook Setup\n",
+    "\n",
+    "The cell below contains a number of helper functions used throughout this walkthrough. They are mainly wrappers around existing `matplotlib` functionality and are provided for the sake of simplicity in the steps to come.\n",
+    "\n",
+    "Take a moment to read the descriptions for each method so you understand what they can be used for. You will use these \"helper methods\" as you work through this notebook below.\n",
+    "\n",
+    "If you are familiar with `matplotlib`, feel free to alter the functions as you please.\n",
+    "\n",
+    "## TODOs\n",
+    "\n",
+    "1. Click in the cell below and run the cell."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# TODO: Make sure you run this cell before continuing!\n",
+    "\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "def show_plot(x_data, y_data, x_label, y_label):\n",
+    "    \"\"\"\n",
+    "    Display a simple line plot.\n",
+    "    \n",
+    "    :param x_data: Numpy array containing data for the X axis\n",
+    "    :param y_data: Numpy array containing data for the Y axis\n",
+    "    :param x_label: Label applied to X axis\n",
+    "    :param y_label: Label applied to Y axis\n",
+    "    \"\"\"\n",
+    "    plt.figure(figsize=(10,5), dpi=100)\n",
+    "    plt.plot(x_data, y_data, 'b-', marker='|', markersize=2.0, mfc='b')\n",
+    "    plt.grid(b=True, which='major', color='k', linestyle='-')\n",
+    "    plt.xlabel(x_label)\n",
+    "    plt.ylabel (y_label)\n",
+    "    plt.show()\n",
+    "    \n",
+    "def plot_box(bbox):\n",
+    "    \"\"\"\n",
+    "    Display a Green bounding box on an image of the blue marble.\n",
+    "    \n",
+    "    :param bbox: Shapely Polygon that defines the bounding box to display\n",
+    "    \"\"\"\n",
+    "    min_lon, min_lat, max_lon, max_lat = bbox.bounds\n",
+    "    import matplotlib.pyplot as plt1\n",
+    "    from matplotlib.patches import Polygon\n",
+    "    from mpl_toolkits.basemap import Basemap\n",
+    "\n",
+    "    map = Basemap()\n",
+    "    map.bluemarble(scale=0.5)\n",
+    "    poly = Polygon([(min_lon,min_lat),(min_lon,max_lat),(max_lon,max_lat),(max_lon,min_lat)],facecolor=(0,0,0,0.0),edgecolor='green',linewidth=2)\n",
+    "    plt1.gca().add_patch(poly)\n",
+    "    plt1.gcf().set_size_inches(10,15)\n",
+    "    \n",
+    "    plt1.show()\n",
+    "    \n",
+    "def show_plot_two_series(x_data_a, x_data_b, y_data_a, y_data_b, x_label, y_label_a, y_label_b, series_a_label, series_b_label):\n",
+    "    \"\"\"\n",
+    "    Display a line plot of two series\n",
+    "    \n",
+    "    :param x_data_a: Numpy array containing data for the Series A X axis\n",
+    "    :param x_data_b: Numpy array containing data for the Series B X axis\n",
+    "    :param y_data_a: Numpy array containing data for the Series A Y axis\n",
+    "    :param y_data_b: Numpy array containing data for the Series B Y axis\n",
+    "    :param x_label: Label applied to X axis\n",
+    "    :param y_label_a: Label applied to Y axis for Series A\n",
+    "    :param y_label_b: Label applied to Y axis for Series B\n",
+    "    :param series_a_label: Name of Series A\n",
+    "    :param series_b_label: Name of Series B\n",
+    "    \"\"\"\n",
+    "    fig, ax1 = plt.subplots(figsize=(10,5), dpi=100)\n",
+    "    series_a, = ax1.plot(x_data_a, y_data_a, 'b-', marker='|', markersize=2.0, mfc='b', label=series_a_label)\n",
+    "    ax1.set_ylabel(y_label_a, color='b')\n",
+    "    ax1.tick_params('y', colors='b')\n",
+    "    ax1.set_ylim(min(0, *y_data_a), max(y_data_a)+.1*max(y_data_a))\n",
+    "    ax1.set_xlabel(x_label)\n",
+    "    \n",
+    "    ax2 = ax1.twinx()\n",
+    "    series_b, = ax2.plot(x_data_b, y_data_b, 'r-', marker='|', markersize=2.0, mfc='r', label=series_b_label)\n",
+    "    ax2.set_ylabel(y_label_b, color='r')\n",
+    "    ax2.set_ylim(min(0, *y_data_b), max(y_data_b)+.1*max(y_data_b))\n",
+    "    ax2.tick_params('y', colors='r')\n",
+    "    \n",
+    "    plt.grid(b=True, which='major', color='k', linestyle='-')\n",
+    "    plt.legend(handles=(series_a, series_b), bbox_to_anchor=(1.1, 1), loc=2, borderaxespad=0.)\n",
+    "    plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Step 2: List available Datasets\n",
+    "\n",
+    "Now we can interact with NEXUS using the `nexuscli` python module. The `nexuscli` module has a number of useful methods that allow you to easily interact with the NEXUS webservice API. One of those methods is `nexuscli.dataset_list` which returns a list of Datasets in the system along with their start and end times.\n",
+    "\n",
+    "However, in order to use the client, it must be told where the NEXUS webservice is running. The `nexuscli.set_target(url)` method is used to target NEXUS. An instance of NEXUS is already running for you and is available at `http://nexus-webapp:8083`.\n",
+    "\n",
+    "## TODOs\n",
+    "\n",
+    "1. Import the `nexuscli` python module.\n",
+    "2. Call `nexuscli.dataset_list()` and print the results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[OrderedDict([('shortName', 'AVHRR_OI_L4_GHRSST_NCEI'),\n",
+       "              ('start', '2005-01-01T00:00:00Z'),\n",
+       "              ('end', '2016-12-31T00:00:00Z')]),\n",
+       " OrderedDict([('shortName', 'AVHRR_OI_L4_GHRSST_NCEI_CLIM'),\n",
+       "              ('start', '1970-01-01T00:00:00Z'),\n",
+       "              ('end', '1970-12-31T00:00:00Z')]),\n",
+       " OrderedDict([('shortName', 'TRMM_3B42_daily'),\n",
+       "              ('start', '2004-12-31T22:30:00Z'),\n",
+       "              ('end', '2015-12-30T22:30:00Z')])]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# TODO: Import the nexuscli python module.\n",
+    "import nexuscli\n",
+    "\n",
+    "# Target the nexus webapp server\n",
+    "nexuscli.set_target(\"http://nexus-webapp:8083\")\n",
+    "\n",
+    "# TODO: Call nexuscli.dataset_list() and inspect the results\n",
+    "nexuscli.dataset_list()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Step 3: Run a Time Series\n",
+    "\n",
+    "Now that we can interact with NEXUS using the `nexuscli` python module, we would like to run a time series. To do this, we will use the `nexuscli.time_series` method. The signature for this method is described below:\n",
+    "\n",
+    "\n",
+    ">nexuscli.time_series(datasets, bounding_box, start_datetime, end_datetime, spark=False)  \n",
+    ">  \n",
+    ">Send a request to NEXUS to calculate a time series.  \n",
+    ">  \n",
+    "__datasets__ Sequence (max length 2) of the name of the dataset(s)  \n",
+    "__bounding_box__ Bounding box for area of interest as a `shapely.geometry.polygon.Polygon`  \n",
+    "__start_datetime__ Start time as a `datetime.datetime`  \n",
+    "__end_datetime__ End time as a `datetime.datetime`  \n",
+    "__spark__ Optionally use spark. Default: `False`\n",
+    ">  \n",
+    ">__return__ List of `nexuscli.nexuscli.TimeSeries` namedtuples\n",
+    "```\n",
+    "\n",
+    "As you can see, there are a number of options available. Let's try investigating [The Blob](https://en.wikipedia.org/wiki/The_Blob_%28Pacific_Ocean%29) in the Pacific Ocean. The Blob is an abnormal warming of the Sea Surface Temperature that was first observed in 2013.\n",
+    "\n",
+    "Generate a time series for the `AVHRR_OI_L4_GHRSST_NCEI` SST dataset for the time period 2013-01-01 through 2014-03-01 and a bounding box `-150, 40, -120, 55` (west, south, east, north).\n",
+    "\n",
+    "## TODOs\n",
+    "\n",
+    "1. Create the bounding box using shapely's `box` method\n",
+    "2. Plot the bounding box using the `plot_box` helper method\n",
+    "3. Generate the Time Series by calling the `time_series` method in the `nexuscli` module\n",
+    "  - __Hint__: `datetime` is already imported for you. You can create a `datetime` using the method `datetime(int: year, int: month, int: day)`\n",
+    "  - __Hint__: pass `spark=True` to the `time_series` function to speed up the computation\n",
+    "4. Plot the result using the `show_plot` helper method"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkMAAAEsCAYAAADAc7eJAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsvWm0bdlV3/ebc6299znnvvveq/eqUwfqShIgBDaNJAwI\nbBlEI4IxEcZgE5wYYzNiYzyMiMlIAIcBIeAEE7CxRzCIzgjHRI4ZprHAdvDACEkYJFmAQFKpKVX3\nmtudZu+11syHufY+5973qlQFlP1Bd41Rdd+95+xurbnm/M//bLaYGefjfJyP83E+zsf5OB8fqUP/\nS9/A+Tgf5+N8nI/zcT7Ox3/JcQ6Gzsf5OB/n43ycj/PxET3OwdD5OB/n43ycj/NxPj6ixzkYOh/n\n43ycj/NxPs7HR/Q4B0Pn43ycj/NxPs7H+fiIHudg6Hycj/NxPs7H+TgfH9HjHAydj/NxPs7H+Tgf\n5+MjepyDofNxPs7H+Tgf5+N8fESPczB0Ps7H+Tgf5+N8nI+P6BGfzJdFo4m2j/ONsZu1fJgzPdmu\n19vz7V7hD9M7W6ZzPv5Zbvfp6bs5fSf2JO7strNkj/XBH2A8oXP9wS/2WE956xntcT+97Qns8W/f\nEOQPJQE7J38ypxHbOeaPaqGeyDjvFO/jycz57SToScriH+gaT8U4e99PRB7+syqSJ3m+cfxBzrur\nd/3n9g7lzPcea+we/3jnf7yxq0CEJ37cY53jw33vsc4v9QyPf47t/Nz63Habv+1e6bGe9PTxp7/5\nWDPLmW/e7vOzs3L2+h/uuFOf5fWjZnbXbT46NZ4UGAqzy+zf92q/clSaMIcQERUQxTBkNGRmqCqW\nCtkG1BKioNKSbQAM0RYrhllBBHIpWCnkkgFQCYgIxgYZEjlnsFyfsGBkzAyxTMkZSGgRzMBC45Mj\ngkgAK6CCmWEGWlJdwOCLaxsww4pBWVFKAVGwps5yw
 lAwA2lpmobSLNAQUImUEFFRQl5TcgGBUvz+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\niqKYNJSoWE4wnKAhorIAKz5n
 Gv0atiaXhIhQ0uDCr1DyQCmFoA1mhWKGiVAMgogDBL87gv/AzEEd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\nINeFqcb
 HfP5EIhID2swgBoJBLpmyOYa8YSiZkAoW9jDNBC3OkFWPIphiMhpRV8wZnYxLqfA8mEFw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
 hIhp4wDG\njB3WkCYUBlk4EhajhJZQQ2Ei5oxGVMiQc4Iy1Ptr3EhPoM2I2vjmTL1H8JoGCzXEN80PaENlXAKh\nGKUkgkCuNKeK/y0f32S9ugFidLMroK0zTMGvqSFQigM3qdSmhbZSq75RQgzk4iCEqtBzKaT1CTln\nQuygInGV3bBJVQSj52Su+CcRHz1fXFhHb3FcO61sx+Q5jkAKHPxOwwihQbsF2nRoiJThJsuDa+Tc\nk1JiNrsHbWIF40rf93TzBaHp0NCgsdnek+h0b5M87sq7CFaKM3LZSJbpmpZhs8HSmsQJNiiUQoiR\npu3AMskE+mOOrr8TWa6R3JC7OW23h0lAMawkZz2rksglE8huvHfmZhrFKJZg2j8O6MYQkO7c+gQ6\nKKdYBgcxHx4MuTE/awxuE1yyMnnI6G2yDna9752jTYTbq7mz5x8B9W2YGcZwQMFscGB7xtCNANWV\nb0as2VL0qgjKkDYIAQlar1Nw580BS7FMEMWK1JBqnR8RVF1HFKqjAM4gFCNT0GosMxEBonaY9jjf\n0KFBEM2IzIhhRgktaoUhHSFq9H3vekJdPiz1/uQS2PQPE2QfQoOUFVo8PECYodKBKUZPKq6SNK/p\nV4cgSmwXEFpCHtBuhsVLzmSWDWVY0vdrxJag+6g2xOAAyDCKDVW3FYIGSgVzIUQkRoSBYRiQtMLS\nBjQild0dTJBh2AGn4kDJ3IqM4Pk0g6an5Op0eLDUNd+C61u/szt2Zf907ZDs2JLHCyNOovk4IUaz\nvAPEwqnzqlUa1zytxKSmg5C29yXVFdPohIIoRYVQfx/DYNK0hKarYTBx/WaeemHmTqCJs/ghBKwU\nRBtEjWRG0y6QpqWJs4mu8J2qHuoqHrbCDFv15NKDJtQyyozUn7Be3fQojwaa2JI2a/JwQL9ZYmWo\n9rOpzt6HB6SPN6ZQ+a2a6JY1mI4h0z/81qcCDF2w5sqLT114WvR
 Sc2oYH9ixYNGqvMtkGlHGvB8P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\nI2IONIsE3+OM4ZlSnbQtkDotVzu2TuUUE3
 XWSJ/69+hM7BDIu+HaKQT7BEzp7UKZRc5qydt/18XY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\n0kO9SoFugYWM9VDyA
 SErSIMAfRxcFrMRFSiZMgxEAQt7FMmVwUqTE2SVxRZqUYfm6kCAWOOhGA2g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\n
 TinGoGjoPMSnATdaeMFerZ7Lw0DTemLmVAlJBab9MeRM0YAQkeAhWZWIBGcWEMgGpA3SLGjoSUMh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
 bh6jRACw7CtXAoh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\nPdeBNWjE4sKZEdNK0RpNjKQhk4ebaJwDe8SZIdp6zH4A
 IyGrA25c+10vnWuuAIW9C/eQW2doSBuf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\nuuYEZ1GiInFBaPboFhdrdaHQxEB
 cXCTGlqHfENUYTGiDstmsSMsD1ofXUIlYNyNoIEavgBOBk0fe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\nEISmnVHSMf
 3ymNDNyURaNqQSyToQ89bojInWHh3POwanhtvltNHZBT+OKHYqKuve0pqz4Pt3JxQ6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
 IQ8FE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\n2GdrO4Stu18Eb/ZbDMoaCwtUUpWdGjlSbwxp3hJoeh4Zda6Eav9LrT
 wTr2CMAcvjdxzka+0fBni0\nSISAklDAO2NHDYg2XH/bDz8VYOiKLV74Bcww1psNIbTkYe1VUMXDJVY9mFEgA1bLk8crlorybAqD\njT2LDNv2JWOXFSk7m7y+qqPmVowz6907vSdHkQYsEIIzLG7MWsyEko6RuECCMCQl5iWtKinuT5VE\nVkpNXl5B2vbFuG2C4tkJfYyYv1dH1QqRMWlNIioZsS340Xbm5yiemGlxhlgNz+SeYXlCaGd1rrdU\nsKCMvRwQrR2RbeqN4jHVtlYF1YRjVbSbew+eZkYMgdXqpCq4XYUfGXvaBG12H2uHoga6jn59AqtD\nytF7ue95L+FX3/DtvPPt7+QvfNVf4zu//X/kW7/z+2lj4Ou+/i/zqZ/0sVzsOi5duQsD3vued/OB\nDzxEiJHf/73f5TWv+VKGCt58M2dmsxkppckjQYygDSEopcDh4QnDsOLRazf4qI9+Boc3rnPXXXeD\ntt5srgzkHGla5WR9xDd9y/fwQz/zDi4/94+zWR3y7Es9Fy5d4bX/3Sv5vM/8FMCLA06Oj2j3LtCp\ncuXKR/HFn/9F/PQHZ/zNz34Wr/+ZX+aovZflyTEvffmn8IZ/8N/zG//pt3jZSz6RX3vrW/msz/p8\n/vin/WkenD2fj7376Xzf//yFPPsZT/NEbWrZ+y25GD68QWUixsgv/uIbedWrPgeAf/mzP8/rf/yn\n+NH/922wd5HnfMpL+bI/9ck88MAxn/qSjkfvfy/XHr3JfDbne777n9DOB37q9T/F133vz6HDwPt/\n5XXQD9x5z91ceMkXsbQ5KcKjb/xB7v2sv8bN338HF577AkoulCNlaA6JoWU2WyCN0melK9CvDlk9\n/E40JQqRmXQshxsEnWHpGNM5wdbk9TVyAqQh7N9Jt38VYkMZMqlfOejKPWJGWFxkfsczSCUzm3Wk\nvics5qQ+ufzZMOkQsUzQQMoZ8obl8SFNCMSau
 Jpyj/cRW9Fk74PSb64jFH8lAYWgSioFzdlzoaqH\nruq5M1Yrt07n0hgaIC4uEdo9iilJAyEGYtsRmpbYePPQw5s3uOPq3WgTa7WtNwMtpbKX1VEqVvw1\nPyNLxEj6ythpbmILSvZ+PrGp1a7YxHKN33F2plCGRJBMaC5ycPQId7Z3seoGGKqha+dEjmnsAicl\nQczoZqi3UHPxplAbW6Nk23vz0I7hHU8VtJ1ehQPieaVj2LkM25w3/+EhNm1qL5zaMFYro4WSxTs0\nBwws0/cbNCpp09O2MzQ2lNSzXrr+Go5vYmk9Nd6WGCnLI4gNpMGNcq1WFgxLA0WchXLWd9Sru2xM\nPdcp/b7T92vShwLqVU2iQkxLjq69m6brmF/9GPrVkpw3tZt/fX7B3w7AlpWsxNmpsdt1fqwaHBs+\nSo0qmAQIHSG2aOygnVNQ9i7e4XmOszltd4GTR95FToMTDyKUVKo2yjvX2tre3eec5GD6t1dEyikG\nNdTvn+kQzpaF22XwxuMcuIZpDnY/u12IdSwekNhMfdeCRnrLrI8PSPf/7FOQMzS/avvP/3xC612J\nS7/E+p6D6x9g0S0ophC9nXhOQy2zjdvV3hnjTY8PmEvv6JGCaOc0ZF4jIdSy5+zGnRrwlQJFJ+oY\nvPeCUmoy6QCmaPC8jhg6L4cODTkNpyp8p4W+HfO4M2ws1RybFj7G97fMzu3KLsPkYW3/uNOYq7Zn\nl0qX5+xxz7GtgDd3k51DPRG7dozzssro1Ufexj1M7y7zjHuZKpjGdfAeP9krJcaEbN3pOFxzk0xb\nhIRZoi2RZz73Tl6yeC9vfdN/4jfvfz/3fPSfQLt9jjbH7EXjR/+Xv8JnvsJlcCiJRiPved/DvOHf\n/Tqv/KSP41nPuMqli/ucDBuURGMNJfess7F3YZ+S4W99x+u4785LfMWX/kkuXprRDwNd101lrrue\n5QMPPMAznvEs/uNvvZ23
 /sff4v73PcrVj34GL3j6Fb7wc/8U73rve/n5N76Vb/uBNxKu3utN4frr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\nntg
 03ktJajWmOWgVUW4+FQnUYX7F9l/waiwn78pqhgQvo81pSdqs2KxPiKH1zuDFk2JdKYTHNQTe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
 Lt5Lvz/jlR93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\nPlrzb3/hZ3nGnffx5/7rzwDztgQ5Z/q+521vfwf3Pf8+rl6
 9w8NYZzyRU5Iz0dm2/UC2aq/OyBmZ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\nx17ZWXqE2mYGkGKEGDy8WfWZ7LyAeX
 qweg+34zZ8DgKBVKtmAQ003ZxsCqK0szmGkYaeoEox5fpb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\nCztvZmLriRCnq
 LgRFhYq8CHiRisA5SrTzeK57dt/gRcJAsMNN/yaL3zmU7z1z9/Cbx/YxVsu/jJX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
 lp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\ni/OBeWANwkJeFGg8SVZjMOgT+RwjI4TvYQcFpS9Q8Rix1jgZUfYXSRqTl
 DZwfaSKcIN5pK6h6jG+\nP410q/FmRzCqjVbhVYooI4RwyFot3HcudAHKsgzBpDpkTSotKPMBtiiIW2uQvkSIDFSJN1SLPTBu\nQIjGSJAqwQ3m8V6Q1epYlyDjSpRCRCwNTggMkv7iNFu3bGDd6jFm5+aZunsP9VURV/7rGxgbqyPQ\ndBfnaKxZTXtuhjgd57F/9DrmbAtVX4cgBx9cmIEgLScoMgUeVwxC1azfC+0tZ0PnwgcVZmgjBQNU\njw8LfF9UJPml5zV4nS3NO96VQZVXLXxGdgtCIFSEcFXsVDpGlGboOCXvLJKMr6I0UGs0MRACuivA\nE2DFUIP9/9f0t8tmVLnvMPk7tyEAHO3JO0wR0iW8saGlLQS2LHDO4MqiGieHGZPVOFZV2wVgpay6\nEnKJE0sAaLISAv1B2mSqtsZPbD9r5DlhrKXstYniCIHAFn2cN6HUaS1JrYYb9EDHRPUxZFKHKAky\n7OoieWRwsdUJILDeUuaLzN98Fa1VBzF26ElM3/QDookDg9V/0iBrtJjbcScyHaO/uIfxDQdhnEO0\npzBlTmfmQZI4Wfoj9zfB+ZUToRtNjvu/SZZPMN5XF0CIFb4LQy+h4XsIFfqmKpTwwo5CNUuldZJ6\nC680cZoho2wFZwAYxWz4eOjdYVFIlM1AwvpVCS876wm880NfpfQ1Tjh6Kyc/ci2PPnob61uKLGvx\n5PMvCRJWQotByuAJVVASO4t1gJTMz02FNGt6HLJ2I/9+yUvoWsc3vn8N//y9uzl2Y8Fznv4UTj/t\nWFqqRVzTHPbM99Ive9QpyOMJurMPktZSxppNHpoZkGZ15GCRZGKcTWOQu5yXnn4CP795F2990YkV\nNvXMLMzzwH338uKXvJQoSsnzksJ0qBSWREmDTEfMze/gZ1ffxqv+5ht4kRDVmliZ8IpnbuF9r3sx\nHovJFTKWWAvI0I5VRjBQgtiaEWgNq6KhMjEQOUeO
 p0KsACBL133fnvXy9/YHrvb33vLPLPfp+H2e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\nUY0JhpECrgwOzl5KoqgOQuC
 dYepXX4SxI1h/6AnM7byLsTWbiUyHdqeLRGBMgR7fSNmeIU7rWAFK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\nK8M9Hg
 V7Dh2nYZElBaUJ8S04S1ma0IqVjkgnWGOIhCUvC2zeJYpiEHEYp6IIX1jM4G7i+iPCSl8F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
 UIkIjXYkX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\n2HwUTmvx/9/AaOVrPhyaCxXlUA0O7TbhQu4c7EV5wDN9zUf+AG
 Couc6vPvrlODFAIOkv7kFKRyQ8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\nxT5jilQRAhcIsssAT1mUJGkyuqc9S9E6v
 lKUSRVav8PvhaqUxQmHFOnIb3V03NXBCxFcf50ziKiO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\nnCTEKqIsc055/qu4
 5D0Xcest93LeS/6IsujxuBe+nzJZjRaCG75wIcYPqKV1ut0C43Im1mzm81//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\
 n5EqsLxB2jFLOMD42hiThE1/+KpEqOes5ZzEzO0csHK+86CKmpu7l/HNezCe+cRmCreTlgFKvI45W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
 i6IlksnQgV240N50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\nxGmLqD6OqmVVOZFK/idRSoLQiHIXV37yDSRaE1uBzhL
 anTY2H7Blwxquu+kePvqFr/J373krQms+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\nYvPGA8Pz6yAvC5JEUxaWyy//Oo
 /YfiRHH3UszlqyNOPoU85mp11PPc14+QuO563nnclbP/QpvnP1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\n+XCABkKbY
 1glGhFyGVYj9/UeWn6/Lq9SORfK+wDtdptrr/sV//yxj3PBK8/h0EOPojMwvPfDH+ba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
 48sRJo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\nFFN3IOMscLBKs/T7hAN04MoVPVAJURwH/lqlmjIV0PNlAaIEF0BIV
 h8D06UgoejNIbVGyyaIDjob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\nQrWQIkGZh7C9PbikiZUZabY6KCzQKA+YElP0
 8SJkuehkgqK/h7g2FsypHHip0FLiowTtqTgrA6SA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\nchgTxF7HWbWWtdbBhVp
 F+9xDaZTzx6ev43UveQ3G90mjiKLss/1Zf4GXGmskTkjSxgTWlDhjUEqg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\nOf
 /z/z/P7zFAxhLHyiIjg8SUGCpChj5xGJPEYRqA16W5SplgGwZxkuK+iRVoqksFTWFlQqR2aqHr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
 ma95CqNkkYQvh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\nCR0VNFGWwIoLRFqLRM9hJBG65iFkD9JIEOh8/cMvYP2y0V
 S8G9tAh1qtTjaX6865zfRUpQkSL634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\n7QLRHWv7kZ8CP0XaLQrDEN/30TSNp
 aUlTNPEcXNEoUcS+Zw8eZK777qbkaEBevv6qdXq5HIFhkdH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\n5NGTTLYVt12/
 g6yr0W5IbMfG6DGwlQIyKBGzWK/jZnXmJz3u3nOUbecMcHjfXjaev5beci9eJ+Sx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
 f5+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\n4rlMnZ5lcraKYTm846Pf5ng9S09BY+fX/oa50xNc8fL38o0vvJ1Xv+p1
 vPCFL+eFV21kshbTmZ2k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\nHnhgN1MTJ3npjbcgVcLC/BwPPbSbfMHhxz/+Lq6
 VIRGCsFnHiyICv8PJ40fIuXlK5TK6IWh3Ekwt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\n9GM34RgCN5dFxpJiT4Gj4/
 Nc9aZPYHgJyrufU7t+zfDlr6Fo97CUmeJnH/hrBiujLDbrfPern2Fw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\ndnHe1
 gvJuzkOPv4w6zas5/jR44ysXMHje/ekU4U4plAq4dXm8ZIEw8lQLpU5PTPD6PAIrZaH5dh0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
 62DcM8ctDj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\ne/c9wg03vJhjx8YZGR6iUi7y8U98ir6+CpoOGzeey/YLtpNxX
 H599108+5qryedKxDIBoTh8+Ai3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\n5X6+dffDnJqYY905Nq+++TU0aqf50Ofv
 5WNvvoHnv/OT/MOrb+H5l5/Pebe+gXs+/kF01ySONJyM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\n1PhJiqV+ImGCZtO
 odShXenjpDTdw+vQMhWyWC7dfQqvV4cc//j6VSj+bzzufiZMnCMMmGzdu4s47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\nmzdRX5gk8NuYusnY+q3MTB6hVmtimhmyWZvTc3NsOXc72XyRFWObQAQ8vu8
 RnnP9c3nogV1sO38H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\nn7uFWqNGp9NmYGAUTZO0Ox7V+RkWqnXKlX5GRvtZml
 uk0tfHwsIiDz/yCLfccmvaXkciXRvlBczP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\nmTg1Tl9/iVw+R7ZYJux49PT0g
 NRRus7x44fp7etl04Yt/PSH36bSVyHXM8CpiZMYuiDj2AgglDGd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\n+vXrOf+C
 S9GcDDLyuOue+7j88ktYPrqMyYkpFmcnSIDhoRWAoNNaYnL8BKXKAAPDowRem0KxwqkT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
 DlF+yDD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\nhN2HqCf7mJtvMDpaZ7RvCKljTs0s0k2fxMYDaKfIkgViGZAYS5Ib
 0jSnHEYIDUp5ynOtWibppGdz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\nwxT++wgCRVEYYl0jWfY6El3FLZGYhaBoH6d
 /+iYKCcIIdKAo6CJFADh0KCmsYn6mSV+pgg4gDANc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\nn8fjEAjjQAuMtOACQp
 eROEfZTuGahyn6r0QBg8l3OVN+BdoY+mY+ha4Y6nGdRidl+syMF7WGkBZe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\n4
 nJEGIYUWQZS+NF3bkBBoBzOatJV7wIR+JJEODh1C6qYJIwWoRvhlMJYMCahFFd6WW4CI4xHLcx2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
 jNIoGo4pA4nSJN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\n2hSzxSb6sie4aOcuhJbcfc9PSJMOcbWCEQaJo8j92MkYh
 9UW4QKqMmdxzTuRWQkjJLZ5grj5NQIF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\nUdJyaKLFytGASEAqJd2sYGGhReYy
 Yitxod815mlG4XyrO00smU0JlfIJ1xRsWrOZ6657LbsffJD7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\ntHKUE6TGYzc
 Ka5HKIaR/UFaiEmfOLDA42E+gFFEUeb6SVnTaXaYmmgyPlZBSEAWCKLBYJCIMyYoc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
 ZzVF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\nqYQI4UBoijRDa41UHt7ZSXOECGjMp9T7Q0oVjctByAKkN1AEUmF6lmx
 rHeVSQJoYqlVNO8mxxodV\nWyMRzmsdleqNEZXEGl8YC2molsrkRUGeu559WxAgQQviQFPkBYkxSOvBnfX+Op20zdnOUI/Ebpyg\nrDUGRzkuMd9c9OgCIJKaPE1wBRhjKZcrtNtdpPRjukh7F2ytEtPpJGRZRqkU0223qQ8NEmlNYgqM\nyVBCkluPJNBSYo03FHiGVeE1i65AhzE60HS6XaxxGFswNLgMYwqStMOqVatwhSRLOvT11UmSNvWR\nEapxHxPTx1ixciVZN6W1MMPJ4yeISmVa3TYUgiBymML1olCCnmHCIbVHReSm8AV4bohCTRRosiLD\nOMexQ202bqpQGF+8B1FIu9Pxn8EJtJBkPdG8dCCcBAGVKKZtUmwn953Q0FFkAgKBsmAz6ye1TlJg\nCIT0XTs0XZNQiTQyUpRLFRYbHW9lx0NTbeHBjaP1AUqlGtu2XcTWLefz3e98h+te8jLGxobYtGYz\ns/MTHDj4KEmW4TLD5Ikj7LzkuVxwwUXce//dOHL+81tfIy47XnjtG/jOd77O7Oxp5uZPU+9fRqs5\nR7PdoVSNEEYQq5BLL9lFY7HDwScfZdnIct7x7r9k4uQpNu3YyVNP7OFjH/8Qa1Zspb14koVGgyiu\nkLUjntIb2Ro/TrUPVFzl2JNHCEJBOSjRbXfZfu65XHnVixkeXcP48uUopbjxxo8RxzWKIsHmGdX+\nCps3bgMZ8a73/AXXv+zFXLVrE7XKMv7scw/yxPc/8asphoYvfiNSx37BeCYU7hfAcks5ZEsA3mdC\n5ApnewwgATOfYYwAKTokeYaRFiXBOk0YGroJgKXbyghjj7uzCAZqNZIkJ01TpBZEQcRbX/u7fPmr\nXyCq9BNUQo48dZCisFhyzt96Ka96xau4/bZv8uSRgywsZqTGt78DAV/43C1cuPMSbv7aTYyvHOFv\n//oP6GSGM/PzEARUdIB13qmhZEAnTUkLrzPqdh
 MuPu8ShAi5/6EfIZAEUmKsQqiYC8+/kDe87vUk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\nGOKAbpJSjkvkhXfLVcKYz
 BlyHLF1SKXIC8BabGq8KUVqT0IONWEY0m03oVfgAuTWIJXyd7jNieOQ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\nF2Ek
 cdbrFRpFwcxcCplhcPUI/aUAudgmjALy3KCUIzEhUkCapAyWy6gwIIxilJJUyxXKA0NMT51k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
 beS4fowrc4C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\n2a7nMjFxijCOGBkawDrLwnyDUrWCQiAsLF+7mo9+5afcfSwg
 NvkvXQ8/z4D55Wvs/+//P9MyvXSk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\nNNIuYRAiMCRFjuyNszHGx8zgC2p/rh3
 SCjQaqTWZ7WKloBRGZEVOludopf34XvrEAyV6HScl6WaW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\nhTQ5RZ57gX9vXG
 SNRTivIXBLuiE/rfr5zyUEwkmElt6GbR31gUH02FZwhlXmXrat2cK1z7mM937p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
 o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\nc++nSuciQT4EHOCmW9jRJqGpAYN30Z/Fex+LB+HPFXtRIebPEaGe+BxmY2
 SpESolKftY76nq06Si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\ntCrnTVetc/ONn+A9/+WP+cpdf0+9abl/I+HT947Bx
 P1qZ++PzXJB0d7OJfoBfuGGd3HZgcNoJbj+\nX30QPVMeerWBFV22j9xImuazpgUSndHffzWNnTJZP41vx2BrvDXn9okoxnpqMUQc+WvN5PhN34Zi\nKO2FYtezyRcPItOCoreME1nsHmRLYOYkex6vYuapSpQBRw+Y8x+cnjg75Snn4dsp+9tPM8ou5Wy4\nin5acsnp9zLsNFjfxzYHIT3C1Cledt2Lee2rX8X84l7e/Ks3IzoluAk+9EDYJ86HwOTMIyRCUq8c\npd46hS7nEboTiaBKEXSGcAYnc9K8IFk6SNJdQgNtMiFfO8Kfv/f/5Sff8mu86Y3P5+3/5VE+91v/\njF0XLfIrv/rLfO22m7GyZrI+4vBll3N2dYOnX30Niwu7OHr0Hjr9lCNfP8J3v/YHaauGxo24+at/\nH4M4lSCZKSqMMaRpDIbctdhnfXMMQsQwPG/p6owQJFNXU6YZrjWUCg7uWWJ1e8TqsKFE0+sVNMaD\nD5RlhrGxE2/baBy3NRxH6Fwr0iyh6M6RJAm7du3i7NlVdu/excbKGgGPEJ6mrrj+Wddx/ORZglQc\nvuo6Lr72at727mM4VX0DqX6n2Dl3w31TO4Ynk+yDb9GJ5E1PX2N+sIRPNVdecjWNaRmPRhRFQZqm\nnDx5kquuuhrTeqpqzPxCny9+7R5ecP2zeN61V3LRD/0xSoxRjeJVl22zd1Hyz370Jzizcpr9ey/k\np/6fD3HPiRohDM6pOG5cO4GzBt9M4rjKu8jn8TujsXCO5vIECnFOKfDEdUqF0gXs5GvJhJB1SNME\nMx1jbY0M0cVZIJ5UIJ6L8QgB41wMZfSBoiwYD8cM9l4MBJxt8G2Nzju4ejobg+00Ig7T1hGSF4Id\nf6I4gnuiexNBEIQg6y+SdOdBJgRrcM6wQ2oPQqAItE0VeW0IQohdoIyzQ7zOyHtz6CzyuYzUJHa2\n+vWE1g3IaHF2lZAuRKXaNzli
 SGwcf/gAoX2IhbUbafGEUCF8l6ppkbtfhc0vx6cZ3bO/SescKyfH\nWOO46JIeK6cNnZ5ASoWWgVrvJ1n+fia2piz6T9yjAgg5qQDZPkRY/xyaDRrjKbudOKZKNA/fPWZ5\nX1TNIaDIEmrbYHUgR+FMzKTy1pBojUwUvrVknYzNtTH9osv6+pR8zlD0ShQx0DjydwIhzBpIoWdI\nY9w/vW9BZRRFipnWcT+WGvDUrSVRCc56pI6jVCkCeZliGoNpPCKVCAfGOZTQkT/mDEJGVErKiEAL\nIcALhPD004KpaWfUh/hga/WMO2VdDO6sLUIrmKmolFK0M2RGiyiiiblxiiLVbE0rUqkxwZJnGQo1\n403ZGCdiLcF

<TRUNCATED>