example_jupyter.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# *CoastSat*: example at Narrabeen-Collaroy, Australia\n",
    "\n",
    "This software is described in details in the following publications: \n",
    "- Shoreline detection:                      https://doi.org/10.1016/j.envsoft.2019.104528\n",
    "- Accuracy assessment and applications:     https://doi.org/10.1016/j.coastaleng.2019.04.004\n",
    "- Beach slope estimation:                   https://doi.org/10.1029/2020GL088365\n",
    "\n",
    "It enables the users to extract time-series of shoreline change over the last 30+ years at their site of interest.\n",
    "There are three main steps:\n",
    "1. Retrieval of the satellite images of the region of interest from Google Earth Engine\n",
    "2. Shoreline extraction at sub-pixel resolution\n",
    "3. Intersection of the shorelines with cross-shore transects\n",
    "4. Tidal correction \n",
    "\n",
    "## Initial settings\n",
    "\n",
    "Refer to the **Installation** section of the README for instructions on how to install the Python packages necessary to run the software, including Google Earth Engine Python API. If that step has been completed correctly, the following packages should be imported without any problem."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pickle\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "import matplotlib\n",
    "matplotlib.use('Qt5Agg')\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import gridspec\n",
    "plt.ion()\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "from coastsat import SDS_download, SDS_preprocess, SDS_shoreline, SDS_tools, SDS_transects"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Retrieval of the images from GEE\n",
    "\n",
    "Define the region of interest (`polygon`), the date range (`dates`) and the satellite missions (`sat_list`) from which you wish to retrieve the satellite images. The images will be cropped on the Google Earth Engine server and only the region of interest will be downloaded as a .tif file. The files will stored in the directory defined in `filepath`. \n",
    "\n",
    "Make sure the area of your ROI is smaller than 100 km2 (if larger split it into smaller ROIs).\n",
    "\n",
    "The function `SDS_download.check_images_available(inputs)` will print the number of images available for your inputs. The Landsat images are divided in Tier 1 and Tier 2, only Tier 1 images can be used for time-series analysis. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Images available between 2017-12-01 and 2018-01-01:\n",
      "- In Landsat Tier 1 & Sentinel-2 Level-1C:\n",
      "  S2: 7 images\n",
      "  Total: 7 images\n"
     ]
    }
   ],
   "source": [
    "# region of interest (longitude, latitude)\n",
    "polygon = [[[151.2957545, -33.7012561],\n",
    "            [151.297557, -33.7388075],\n",
    "            [151.312234, -33.7390216],\n",
    "            [151.311204, -33.701399],\n",
    "            [151.2957545, -33.7012561]]] \n",
    "# it's recommended to convert the polygon to the smallest rectangle (sides parallel to coordinate axes)       \n",
    "polygon = SDS_tools.smallest_rectangle(polygon)\n",
    "# date range\n",
    "dates = ['2017-12-01', '2018-01-01']\n",
    "# satellite missions\n",
    "sat_list = ['S2']\n",
    "# name of the site\n",
    "sitename = 'NARRA'\n",
    "# directory where the data will be stored\n",
    "filepath = os.path.join(os.getcwd(), 'data')\n",
    "# put all the inputs into a dictionnary\n",
    "inputs = {'polygon': polygon, 'dates': dates, 'sat_list': sat_list, 'sitename': sitename, 'filepath':filepath}\n",
    "\n",
    "# before downloading the images, check how many images are available for your inputs\n",
    "SDS_download.check_images_available(inputs);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The function `SDS_download.retrieve_images(inputs)` retrives the satellite images from Google Earth Engine.\n",
    "\n",
    "By default, only Landsat Tier 1 Top-of-Atmosphere and Sentinel-2 Level-1C products are downloaded. \n",
    "\n",
    "In case you need to access Tier 2 images for qualitative analysis, you need to set `inputs['include_T2'] = True` before calling `retrieve_images`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Images available between 2017-12-01 and 2018-01-01:\n",
      "- In Landsat Tier 1 & Sentinel-2 Level-1C:\n",
      "  S2: 7 images\n",
      "  Total: 7 images\n",
      "\n",
      "Downloading images:\n",
      "S2: 7 images\n",
      "100%\n",
      "Overlapping Sentinel-2 images cannot be merged with your version of the earthengine-api (0.1.224)\n",
      "To be able to merge overlapping images, revert to version 0.1.201\n"
     ]
    }
   ],
   "source": [
    "# inputs['include_T2'] = True\n",
    "metadata = SDS_download.retrieve_images(inputs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**If you have already retrieved the images**, just load the metadata file by only running the section below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "metadata = SDS_download.get_metadata(inputs) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Shoreline extraction\n",
    "\n",
    "This section maps the position of the shoreline on the satellite images. The user can define the cloud threhold (`cloud_thresh`) and select the spatial reference system in which to output the coordinates of the mapped shorelines (`output_epsg`). See http://spatialreference.org/ to find the EPSG number corresponding to your local coordinate system. Make sure that your are using cartesian coordinates and not spherical coordinates (lat,lon) like WGS84. If unsure, use 3857 which is the web mercator projection (used by Google Maps).\n",
    "\n",
    "To quality control each shoreline detection and manually validate the mapped shorelines, the user has the option to set the parameter `check_detection` to **True**. \n",
    "To adjust the position of each shoreline by modifying the threshold defining the sand/water interface you can set `adjust_detection` to **True**. \n",
    "Finally, to save a figure for each mapped shoreline as a .jpg in the folder */jpg_files/detection* set `save_figure` to **True**. \n",
    "\n",
    "The other parameters are for advanced users only and are described in the README."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "settings = { \n",
    "    # general parameters:\n",
    "    'cloud_thresh': 0.5,        # threshold on maximum cloud cover\n",
    "    'output_epsg': 3857,        # epsg code of spatial reference system desired for the output   \n",
    "    # quality control:\n",
    "    'check_detection': True,    # if True, shows each shoreline detection to the user for validation\n",
    "    'adjust_detection': False,  # if True, allows user to adjust the postion of each shoreline by changing the threhold\n",
    "    'save_figure': True,        # if True, saves a figure showing the mapped shoreline for each image\n",
    "    # [ONLY FOR ADVANCED USERS] shoreline detection parameters:\n",
    "    'min_beach_area': 4500,     # minimum area (in metres^2) for an object to be labelled as a beach\n",
    "    'buffer_size': 150,         # radius (in metres) for buffer around sandy pixels considered in the shoreline detection\n",
    "    'min_length_sl': 200,       # minimum length (in metres) of shoreline perimeter to be valid\n",
    "    'cloud_mask_issue': False,  # switch this parameter to True if sand pixels are masked (in black) on many images  \n",
    "    'sand_color': 'default',    # 'default', 'dark' (for grey/black sand beaches) or 'bright' (for white sand beaches)\n",
    "    # add the inputs defined previously\n",
    "    'inputs': inputs\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [OPTIONAL] Save .jpg of the satellite images \n",
    "Saves .jpg files of the preprocessed satellite images (cloud masking + pansharpening/down-sampling) under *./data/sitename/jpeg_files\\preprocessed*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Satellite images saved as .jpg in C:\\Users\\z5030440\\OneDrive - UNSW\\CoastSat\\data\\NARRA\\jpg_files\\preprocessed\n"
     ]
    }
   ],
   "source": [
    "SDS_preprocess.save_jpg(metadata, settings)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [OPTIONAL] Digitize a reference shoreline\n",
    "Creates a reference shoreline which helps to identify outliers and false detections. The reference shoreline is manually digitised by the user on one of the images. The parameter `max_dist_ref` defines the maximum distance from the reference shoreline (in metres) at which a valid detected shoreline can be. If you think that the default value of 100 m will not capture the full shoreline variability of your site, increase this value to an appropriate distance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reference shoreline has been saved in C:\\Users\\z5030440\\OneDrive - UNSW\\CoastSat\\data\\NARRA\n"
     ]
    }
   ],
   "source": [
    "%matplotlib qt\n",
    "settings['reference_shoreline'] = SDS_preprocess.get_reference_sl(metadata, settings)\n",
    "settings['max_dist_ref'] = 100 # max distance (in meters) allowed from the reference shoreline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Batch shoreline detection\n",
    "Extracts the 2D shorelines from the images in the spatial reference system specified by the user in `'output_epsg'`. The mapped shorelines are saved into `output.pkl` (under *./data/sitename*) and `output.geojson` (to be used in a GIS software).\n",
    "\n",
    "If you see that the sand pixels on the images are not being identified, change the parameter `sand_color` from `default` to `dark` or `bright` depending on the color of your beach. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mapping shorelines:\n",
      "S2:   100%\n"
     ]
    }
   ],
   "source": [
    "%matplotlib qt\n",
    "output = SDS_shoreline.extract_shorelines(metadata, settings)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then remove duplicates and images with inaccurate georeferencing (threhsold at 10m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 duplicates\n",
      "0 bad georef\n"
     ]
    }
   ],
   "source": [
    "output = SDS_tools.remove_duplicates(output) # removes duplicates (images taken on the same date by the same satellite)\n",
    "output = SDS_tools.remove_inaccurate_georef(output, 10) # remove inaccurate georeferencing (set threshold to 10 m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For use in GIS applications, you can save the mapped shorelines as a GEOJSON layer which can be easily imported into QGIS for example. You can choose to save the shorelines as a collection of lines or points (sometimes the lines are crossing over so better to use points)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "geomtype = 'lines' # choose 'points' or 'lines' for the layer geometry\n",
    "gdf = SDS_tools.output_to_gdf(output, geomtype)\n",
    "gdf.crs = {'init':'epsg:'+str(settings['output_epsg'])} # set layer projection\n",
    "# save GEOJSON layer to file\n",
    "gdf.to_file(os.path.join(inputs['filepath'], inputs['sitename'], '%s_output_%s.geojson'%(sitename,geomtype)),\n",
    "                                driver='GeoJSON', encoding='utf-8')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Simple plot of the mapped shorelines. The coordinates are stored in the output dictionnary together with the exact dates in UTC time, the georeferencing accuracy and the cloud cover."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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ixowZQ1xcHA3vwfL6668zadIkxo0bx6RJk1i1qum3BRxpv40bNzJu3DiGDRvG/fffT919cN566y3OP/98unfvzuLFi+v3f+ONN0hMTKz/Ex8fz9KlS9v0bwOaTMZcXl5e2EOQgFrYoh52qIUd1luUb99Wf1krQNZQ+N013biquJTvFRSxpGY6J39pDpPOis1nn3Uk6y26ErWwoyu2uO222w57r+hll13Ghg0b+PDDDznvvPOYM2dOk48dO3YsqampXHTRRVHbBwwYwCuvvEJ2djbz5s3jlltuafLxR9rv29/+Nk8//TTbtm1j27Zt9WMcMmQIzz//PLNnz456rksvvZSsrCyysrJYtWoVvXr1YsaMGUf979GYJpMx1qdPn7CHIAG1sEU97FALOyy32PPYYxx4ZTlA/R1cnYNzKqv4j/z9tZe+njaS2VOHhDbG9mS5RVejFnaYb7H7PXj78dq/28lFF13EqaeeGrVtxowZdO/eHYALLriAnJycJh87atQoRowYcdj2iRMnMnjwYADGjBlDeXk5FRUVrd4vLy+P4uJipk2bhnOOW2+9tX6VcejQoYwfP564uOaneYsXL2bmzJn06tWrFf8CR9a9zc8gIiIix7WClBTyn3kWiH6v5NoRjpsPFOM9RIhj9OevDG2MItLF7X4P5l0DNZXQrSd8/WU4c0rMX/a5557ja1/72jE//qWXXmLixImccMIJrd4vNzeXM844o/5nCQkJ5Obmtvo1Fy5cyIMPPnjMY25Ik8kYKy4uDnsIElALW9TDDrWww2qLfX98Goi+e+uyqVA0soqv5JXW3s2173e4t5PfdKchqy26IrWww3SLnW/XTiR9Te3fO9+O+WTy0UcfpXv37tx0003H9PiNGzfy8MMPs2LFiqPaz3tf/x7JOs65ph56mLy8PLKzs7n88suPacyN6TLXGBs0aFDYQ5CAWtiiHnaohR0WWxSkpFD16adR2zYnQMol3Xhgf+1NJ/5QfTWTv9I+v+W2wmKLrkot7DDdYuiFtSuSrlvt30Nj+zEm8+bNY/ny5fz1r3+tn8jdfvvtJCYmcuWVLV+lkZOTQ3JyMvPnz+fcc88FYMmSJfU3yKm7YU9T+yUkJPBpg/9ezsnJqb8ctiUvvvgiycnJ9OjR46iOtzmaTMbY9u3bwx6CBNTCFvWwQy3ssNhi/7z5QPSq5AuXxvHj/P1MqKhkXWQkB6b/+Li46U5DFlt0VWphh+kWZ06pvbT1Cz+K+SWuaWlp/PKXv+Tll1+Oet/h3LlzycrK4tVXXz3i4wsLC7nqqquYM2cO06dPr9+enJxcf5OcpKSkZvcbNGgQJ510EmvXrsV7z/z587n22mtbNfYFCxYwa9asozzi5rnGS6QSLSkpyTe8le/RKi0tpXfv3u04IjlWamGLetihFnZYa5Hz0EMUv7Kchv9PYelU+OiCKub+4zNqcPy0/+M8ev+doY0xVqy16MrUwo6ObLF582ZGjRrVIa91JLNmzWL16tXs27ePz33uc/zsZz9jzpw5VFRU0L9/f6D2Jjx/+MMfDnvskiVLuO+++/jss8845ZRTSExM5LXXXuPf/u3fmDNnDsOHD6/fd8WKFQwcODDq8Ufab926ddx5550cPHiQmTNn8uSTT+KcY/369SQnJ1NQUEB8fDynn346GzduBGDnzp1Mnz6d3bt3H/EGPU392zvnMrz3SY331WSyBW2dTKalpXHFFVe044jkWKmFLephh1rYYanFnsceY/8zz9bepZXaFcmc/vDPd3fjhgMl/Ci/kH+tuZPr7z7+ViXBVouuTi3s6MgWViaTVhUVFXHyySfH5Lk1mWxHbZ1MioiIdDZ1E8k6df9P4Y9XOFZNiGN+3h5SSm5h/LUPHDcfBSIitmgyGZ6jmUzqPZMxlpqaGvYQJKAWtqiHHWphh4UWBSkpTU4k3xoNqxLjmFRRwbulM477iaSFFlJLLexQCzsKCgrCHgKglckWaWVSRES6kk9u+Crl2dlAw48BcSy4NA4HPJLr+Gjii/zgSq0YiEjsaGUyPFqZNES/wbFDLWxRDzvUwg4LLSJVVVE33Nl5Giy4tPb/LtxWeIC/D364S0wkLbSQWmphh1rYoZXJTkIrkyIi0lWUZWayc/ZN4H39TXdWJDqevSKOq4pLmXrw/5H8/WfCHqaIdAFamQyPViYNWb58edhDkIBa2KIedqiFHWG3yH/m2aiJZA3w1jjH7YUH+PLegQz52q9CHV9HCruFHKIWdqiFHYWFhWEPAdBkMuZmzJgR9hAkoBa2qIcdamFHmC3KMjMp/tvforZlDIczTznI/QXFHJj+o+PyI0Cao/PCDrWwoyu2uOOOOxg4cCBjx46N2v7kk08yYsQIxowZw/e///0mH7to0SLGjBlDXFwcDa90fP3115k0aRLjxo1j0qRJrFq1qsnHH2m/bdu2MW7cOIYNG8b9999P3dWmb731Fueffz7du3dn8eLF9fu/8cYbJCYm1v+Jj49n6dKlx/zvUkeTyRh75513wh6CBNTCFvWwQy3sCLPF3sd/DRC1Kvny1DhuKyrmhdO+y4wrrgltbGHQeWGHWtjRFVvcdtttpKWlRW174403WLZsGR9++CEbN27kX/7lX5p87NixY0lNTeWiiy6K2j5gwABeeeUVsrOzmTdvHrfcckuTjz/Sfvfeey9PP/0027ZtY9u2bfVjHDJkCM8//zyzZ8+Oeq5LL72UrKwssrKyWLVqFb169WqXXw50b/MzyBGNGzcu7CFIQC1sUQ871MKOsFoUpKRQ1uj+AHn9oe+ASipyz2HMTd8NZVxh0nlhh1rYYb1F1t4s0vekk/S5JBIHJrbLc1500UXs3Lkzatt///d/84Mf/IATTjgBgIEDBzb52Obe8zlx4sT6r8eMGUN5eTkVFRX1z9fSfvv376e0tJRp06YBcOutt7J06VJmzpzJ0KFDAYiLa37NcPHixcycOZNevXo1u09raWUyxhr/h0/Coxa2qIcdamFHGC3KMjPJ+9nPgUOrkgCvTnbcv7+oy13eWkfnhR1qYYflFll7s7h7xd08+f6T3L3ibrL2ZsXstT766CPefvttpk6dysUXX8z69euP+bleeuklJk6ceNhE8kj75ebmMmjQoPqfJSQkkJub2+rXXLhwIbNmzTrmMTeklckYGzBgQNhDkIBa2KIedqiFHWG0KHtvPUQiuAbbNiXAkKElvFfzDe7tYpe31tF5YYda2GG5RfqedCprKokQoSpSRfqe9HZbnWysurqagoIC1q5dy/r16/nqV7/Kxx9/jHOu5Qc3sHHjRh5++GFWrFhxVPt57w97rda+dl5eHtnZ2Vx++eVHNdbmaGUyxsrLy8MeggTUwhb1sEMt7OjoFmWZmWxPnQfUrkjWvVfy/c9Xc+K+C5n8lQc7dDyW6LywQy3ssNwi6XNJ9OzWk26uGz3iepD0ucM+xaLdJCQkcN111+GcY8qUKcTFxbFv3z5uv/12EhMTufLKK1t8jpycHJKTk5k/fz7nnnsuAEuWLKm/QU7dDXua2q/xSmROTg6DBw9u1dhffPFFkpOT6dGjx9EedpO0MhljVVVVYQ9BAmphi3rYoRZ2dGSLssxMPrn5ZvrWRIBDl7h+MgimndCDZ07+Jt/sgpe31tF5YYda2GG5ReLARP4040/t/p7Jpnz5y19m1apVXHLJJXz00UdUVlYyYMAA5s6d26rHFxYWctVVVzFnzhymT59evz05OZnk5OQW9xs0aBAnnXQSa9euZerUqcyfP5/77ruvVa+9YMEC5syZ08ojbZlWJmOsX7+u+z/E1qiFLephh1rY0ZEtdvzHz3E1tZe3NnyvZPnwCtaUXsHXJg/psLFYpPPCDrWww3qLxIGJ3DXurnadSM6aNYtp06axdetWEhISePbZZ7njjjv4+OOPGTt2LDfeeCPz5s1r8jLTJUuWkJCQwLvvvstVV11Vf2npU089xfbt2/nFL35RvxK5d+/ewx5/pP2eeuop7rrrLoYNG8a5557LzJkzAVi/fj0JCQksWrSIb3zjG4wZM6b++Xbu3Mnu3bu5+OKL2+3fx9V9Jok0LSkpyac3usPd0Vi3bh1Tp05txxHJsVILW9TDDrWwo6Na5Dz0EAdeqf3w8bqJpAfWTapm9DmnsnDMH/jNjROP9BTHPZ0XdqiFHR3ZYvPmzc3eDVWgpKSEk046KSbP3dS/vXMuw3t/2LXDWpmMsZEjR4Y9BAmohS3qYYda2NERLQpSUpqcSD5zuWPCmCLmnvj1Lj+RBJ0XlqiFHWphR3x8fNhDADSZjLm23CpY2pda2KIedqiFHR3RInfhfCD60tZlU2HamYUsKrmZi//f1TEfQ2eg88IOtbBDLewoKysLewiALnNtUVsvc41EIkf80FDpOGphi3rYoRZ2dESL9ZdfSO9d+w7dcGcgrPhaBSM+ncaB6T/mB1fqsjLQeWGJWtjRkS10meuRNfXxIO1Fl7ka8vLLL4c9BAmohS3qYYda2BHrFnsee4zeu/YBhz4GZO6MOC4u7K2JZCM6L+xQCzvUwo7CwsKwhwBoZbJFbV2ZFBERsWDPY4+R/8yzwKFLXLcNgoU31jBr30Su+VFKqOMTEWlIK5Ph0cqkIUuWLAl7CBJQC1vUww61sCNWLQpSUtjfaCIJsGqCI7m4hPhJN8XkdTsznRd2qIUdamFHQUFB2EMANJmMuYYfPCrhUgtb1MMOtbAjVi0KF7+EJ/rurUunwpaxEYaXnsWMK66Jyet2Zjov7FALO7pai927d3PppZcyatQoxowZwxNPPAHAQw89xMiRIxk/fjzJycnNXnK6aNEixowZQ1xcHA2vdHz99deZNGkS48aNY9KkSaxatarJxx9pv48//phx48YxbNgw7r//fuquNn3rrbc4//zz6d69O4sXL67f/4033qj/rMrExETi4+NZunRpm/+NQplMOud+4Zz70DmX5Zxb4Zwb3Mx+33XObXDObXTOPdBge6Jzbm3w+HTn3JRge0/n3FznXLZz7gPn3CUNHrPaObc1eEyWc25gzA8U2iWStA+1sEU97FALO2LVwp1wQtT3O0+DBZd2447CA3w29Ycxec3OTueFHWphR1dr0b17dx5//HE2b97M2rVr+d3vfsemTZu47LLL2LBhAx9++CHnnXcec+bMafLxY8eOJTU1lYsuuihq+4ABA3jllVfIzs5m3rx53HLLLU0+/kj73XPPPTz99NNs27aNbdu2kZaWBsCQIUN4/vnnmT17dtRzXXrppWRlZZGVlcWqVavo1asXM2bMaMs/DxDeyuSvvPfjvfeJwHLgJ413cM6NBe4GpgATgKudc8ODH/8n8LPg8T8JvifYH+/9OOAy4HHnXMNjvMl7nxj82RuLA2vsmmv0214r1MIW9bBDLeyIVYvPSouivt92hmNSeQVjy8/WqmQzdF7YoRZ2WG9RlpnJvj8+TVlmZrs836BBgzj//PMB6NOnD6NGjSI3N5cZM2bQvXt3AC644AJycnKafPyoUaMYMWLEYdsnTpzI4MG1a2ljxoyhvLycioqKVu+Xl5dHaWkp06ZNwznHrbfeWj/RHzp0KOPHjz/iXXcXL17MzJkz6dWr11H8azQtlMmk9/5Ag297c+jtGw2NAtZ678u899XAm0Dd2roH+gZfnwx8Gnw9Gvhb8Bp7gULgsDeKdqTmlq2l46mFLephh1rYEYsWex57jN6btwHBHVwd/N9YxwP7Cznt3Ant/nrHC50XdqiFHZZblGVm8vfb7+CzJ57g77ff0W4Tyjo7d+4kMzOTqVOnRm1/7rnnmDlz5jE/70svvcTEiRM5odEVJEfaLzc3l9NPP73+ZwkJCeTm5rb6NRcuXMisWbOOecwNhfaeSefco8653cBNNLEyCWwALnLO9XfO9QKuBM4MfvYA8Kvg8Y8BddfofABc65zr7pw7G5jU4DEAc4NLXP/VHeGDWZxz9wSXz6bn5uaya9cutm7dyoYNG8jNzWXdunUUFRWxcuVKIpFI/W8C6t6UvHTpUiKRCCtXrmTkyJGsW7eO3NxcNmzYwNatW9m1axcZGRnk5+ezevVqKisrWb58OQCpqalRf6elpVFaWsqaNWvYs2cPWVlZ7Nixg1WgGeAAACAASURBVB07dpCVlcWePXtYs2YNpaWl9cvbjZ9j+fLlVFZWsnr1avLz88nIyGjTMRUVFXXKY9q/f/9xd0yduVPfvn2Pu2PqrJ0OHDhw3B1TZ+00ZsyYdj2mtCeeiLqDK8Cnp8IZ/Q4yvqqGz/pNVqdmjunss88+7o6ps3bKz88/7o6ps3YaNGhQhx5TYWEhkUiE4uJiqqurKS0tpaKigvLycg4ePEhlZSUlJSVUV1dT8Pbb+MpKiETwVVXkv/kWUHujGu89Bw4coLq6mpKSEiorKzl48GD9Sl9paSnV1dUUFxcTiUTq3wNZd5Ob3bt3c/311/Poo4/Su3dvSkpKqKqq4pFHHsE5x/XXX09ZWRlVVVWUlJRQU1NDUVFR1HMcOHDgsGP64IMP+P73v89vf/vbJo/pwIEDeO955513ePjhh/nP/6y9GLOoqIhu3brVH1NZWRne+6hjqq6upqam5rBj2rx5M9nZ2UyZMqX+uWpqauqPqe44Gndqlvc+Jn+AldROCBv/ubbRfj+k9pLVpp7jTuB94C3gD8B/Bdt/C1wffP1VYGXwdXfgv4AsYBnwat3rAWcEf/cBVgC3tuY4Jk2a5Nti7dq1bXq8tB+1sEU97FALO9q7xSc33ew3jhjpNwV/No4Y6edePdK//+8DvF8/t11f63ij88IOtbCjI1ts2rTpqPYvff99v3lCot80eozfPCHRl77/fruMo7Ky0s+YMcM//vjjUduff/55f8EFF/jS0tL6bbfddpufMGGCnzlzZtS+F198sV+/fn3Utt27d/vhw4f7//u//6vflpqa6idMmOAnTJhQv39T+3366ad++PDh9d+/8MIL/p577ol6/q9//et+0aJFhx3Pb37zG3/33Xcf8Zib+rcH0n0Tc6XuzU8z28Z7/8VW7voC8D/AT5t4jmeBZwGcc/8O1F2Q/HXgu8HXi4Bngv2rge/VPd459w6wLfhZbvB3sXPuBWrfizn/qA7qGCQkJMT6JaSV1MIW9bBDLexozxZ7HnuMsgZ3D/RABPhoYjW3nZ4ESbe122sdj3Re2KEWdlhu0WviRIbMfY6y99bTa8pkek2c2Obn9N5z5513MmrUKB588MH67Wlpafzyl7/kzTffjHrf4dy5c1v1vIWFhVx11VXMmTOH6dOn129PTk6OumNuc/sNGjSIvn37snbtWqZOncr8+fO57777WvXaCxYsaPaGQccirLu5Dm/w7TXAlmb2Gxj8PQS4DlgQ/OhT4OLg6y8QTBidc72cc72Dry8Dqr33m4LLXgcE23sAV1O7ShpzVj4DRtTCGvWwQy3saK8WBSkpUZe31n0cyDNXOG44sQi++LN2eZ3jmc4LO9TCDustek2cyIBv3NMuE0mANWvW8Oc//5lVq1bVf6TGq6++yne+8x2Ki4u57LLLSExM5N57723y8UuWLCEhIYF3332Xq666issvvxyAp556iu3bt/OLX/yi/nn37j383qBH2u83v/kNd911F8OGDePcc8+tf9/m+vXrSUhIYNGiRXzjG99gzJgx9c+3c+dOdu/ezcUXX3zYax0r531T976JLefcS8AIan9Jugu413ufG3xEyDPe+yuD/d4G+gNVwIPe+78F2/8JeILay1rLgW957zOcc0OB14LnzQXu9N7vCiaYbwE9gG7UXoL7oPe+pqWxJiUl+YafC3O0tm7d2uRdnKTjqYUt6mGHWtjRHi3KMjPZdfMt+Jqa+okk1H6uZPzEUh4ccztcpslkS3Re2KEWdnRki82bNzNq1KgOea3OqLy8nPj4+Jg8d1P/9s65DO/9YTc2jdllrkfivb++me2fUnujnbrvL2xmv/+j9uY6jbfvpHaS2nh7aVP7d4RYRZajpxa2qIcdamFHe7Qoe299/USyzqYE2DW1kj/GDdFEspV0XtihFnaohR1HuJdohwrtbq5dxb59+8IeggTUwhb1sEMt7GiPFrm5tZdA1V3aWuPghUvjONCtGyRMbvPzdxU6L+xQCzvUwo7q6uqwhwBoMhlzQ4cODXsIElALW9TDDrWwo60tyjIz6fbiC8ChjwJJHwbbznCcVl0DE9rnc8W6Ap0XdqiFHWphR0ufS9lRNJmMsezs7LCHIAG1sEU97FALO9raIutXTxGHj7rEtai3wwF3xPWDM6e06fm7Ep0XdqiFHR3dIox7u3QWBw8ejMnzHu2/eSg34OlM2noDnsrKSnr27NmOI5JjpRa2qIcdamFHW1qUZWby8azZxHHoDq4RBz+5OY4zTznIE1N/oo8DOQo6L+xQCzs6ssUnn3xCnz596N+/v5n3B1oSiUSIi2vfdUHvPfn5+RQXF3P22WdH/czUDXi6khUrVnD11VeHPQxBLaxRDzvUwo62tNjx5B/oRvRHgfzpcseOwY6fDLxSE8mjpPPCDrWwoyNbJCQkkJOTw2effdYhr9fZHDx4kBNPPLHdnzc+Pv6oPk9UK5MtaOvKpIiISEd458IvcspnufWTyZz+8M93d+Mnvh833P522MMTEZFOrLmVSb1nMsZSU1PDHoIE1MIW9bBDLew41hZlmZn0+SwXOPS5kv8z2XF7YTE3fPHxdhpd16Lzwg61sEMt7LDSQiuTLdDKpIiIWJd9wyy6ZWfVr0p+chr89lbPa30mwY1/DXt4IiLSyWllMiRWfmsgamGNetihFnYcS4uClBTisrOitlV3hxGVlTD9u+01tC5H54UdamGHWthhpYVWJluglUkREbGqLDOTXTfdjI9E6lclAf54heP2CaeTePuqMIcnIiLHCa1MhiQtLS3sIUhALWxRDzvUwo6jbVG0dFn9RLLOpgTYObqGxC/+R/sOrovReWGHWtihFnZYaaGVyRa0dWWytLSU3r17t+OI5FiphS3qYYda2HG0LXZ/+zsU/+1vh32u5Jf7dufW+z6I2Ti7Ap0XdqiFHWphR0e30MpkSLKyslreSTqEWtiiHnaohR1H06IsM5OS1auBQ5e3vjwF4k6r4tZp32v/wXUxOi/sUAs71MIOKy00mYyxYcOGhT0ECaiFLephh1rYcTQtipYuw9fU4KB+ZfJgvOPcyhMg6bYYjbDr0Hlhh1rYoRZ2WGmhyWSM5eXlhT0ECaiFLephh1rYcTQtyj44dBmrByLA5jMdEwZc2f4D64J0XtihFnaohR1WWmgyGWN9+vQJewgSUAtb1MMOtbCjtS0KUlKo2LIlalvGcDjl1G7MvvGXsRhal6Pzwg61sEMt7LDSQpNJERGRTuajP/4XcOjy1gjwytQ4bjp5fJjDEhGRLkaTyRgrLi4OewgSUAtb1MMOtbCjNS0+WPUivT8titq2JQGmn1TCpRfdH6uhdTk6L+xQCzvUwg4rLTSZjLFBgwaFPQQJqIUt6mGHWtjRmhZlTz5NHNGrkrumVnDrqZfAmVNiO8AuROeFHWphh1rYYaWFJpMxtn379rCHIAG1sEU97FALO1pqseexxzh5c27Utpyzq/lej3wGnK1LXNuTzgs71MIOtbDDSgtNJmMsMTEx7CFIQC1sUQ871MKOI7UoSElh/zPPAtGrku8nRcB1g6EXdsgYuwqdF3aohR1qYYeVFppMxtjbb78d9hAkoBa2qIcdamFHcy3KMjP5x89+jufQRBLg5amQndCNuKt+rUtc25nOCzvUwg61sMNKC+e9b3mvLiwpKcmnp6eHPQwREenC8n76CIUpKfXfe2BTAvzs5m78sKw7s7+VFd7gRETkuOecy/DeJzXerpXJGEtNTQ17CBJQC1vUww61sKO5FhU7dtSvRtZd3vrCpXEMrq5m9pQHOmp4XYrOCzvUwg61sMNKC61MtkArkyIiEqayzEx2zr4JvK+/xPW94fD49d34Xlkf7vjWu2EPUUREjnNamQyJld8aiFpYox52qIUdTbXIf+bZqIlkDfDyBXFcWVzGHV96oqOH2GXovLBDLexQCzustNDKZAu0MikiImEpy8xk56zZAA1WJR2PXx/Hd7sP4q6bXw91fCIi0jVoZTIky5cvD3sIElALW9TDDrWwo3GL/EYfBVK7Kuno5j1JvRM6fHxdic4LO9TCDrWww0oLrUy2oK0rk5WVlfTs2bMdRyTHSi1sUQ871MKOxi02XHIhcf/YVz+Z3NsX7v9WN368r4Cvfm2JPg4khnRe2KEWdqiFHR3dQiuTIXnnnXfCHoIE1MIW9bBDLexo2KIsMxP3j31RP9/5Ofjxvv189ZJHNZGMMZ0XdqiFHWphh5UWmkzG2Lhx48IeggTUwhb1sEMt7GjYomjpMhyHLnGNABmTIkyvGABJt4UzwC5E54UdamGHWthhpYUmkzG2c+fOsIcgAbWwRT3sUAs7GrbYt/mDqJ9tSYCLTiqmavI3OnhUXZPOCzvUwg61sMNKC00mY2zAgAFhD0ECamGLetihFnbUtSjLzCQue0vUz0r7RZhQehpDZ3w7jKF1OTov7FALO9TCDistNJmMsfLy8rCHIAG1sEU97FALO+pa7Pj9r3E++i6uG0Z7uveID3N4XYrOCzvUwg61sMNKC00mY6yqqirsIUhALWxRDzvUwo6qqqraVcm3o+8ivjUBpvQpIS7p1pBG1vXovLBDLexQCzustNBkMsb69esX9hAkoBa2qIcdamFHv3792Pv4r+tvvFOn9NQIw8uG6hLXDqTzwg61sEMt7LDSQpPJGMvJyQl7CBJQC1vUww61sGPPX/7CwQafbeyBiIOc86rZO+UH4Q2sC9J5YYda2KEWdlhp0T3sARzvRo4cGfYQJKAWtqiHHWphx8mbNlPBofdKeuBPlztcwkBmXHFNuIPrYnRe2KEWdqiFHVZaaGUyxtavXx/2ECSgFraohx1qYUdBTQ1QO4kEeHs0vDkhjrMG3BjeoLoonRd2qIUdamGHlRbOe9/yXl1YUlKST09Pb3nHZkQiEeLiNGe3QC1sUQ871MKGssxMdt50E0Q8DogACy92fDCxOz+d+SaTzrLx/piuQueFHWphh1rY0dEtnHMZ3vukxttD+U+Dc+4XzrkPnXNZzrkVzrnBzez3XefcBufcRufcAw22T3DOveucy3bOveKc69vgZz90zm13zm11zl3eYPukYP/tzrnfOudc49eLhZdffrkjXkZaQS1sUQ871MKGoqXL6ieSde+V3DjE8aWDXhPJEOi8sEMt7FALO6y0CGVl0jnX13t/IPj6fmC09/7eRvuMBRYCU4BKIA34pvd+m3NuPfAv3vs3nXN3AGd77//VOTcaWBA8ZjCwEjjPe1/jnHsP+C6wFngV+K33/n9bGmtbVyZFRERaI/uqK+i2Y1f9ZPKT02DuzTU8FzmLvt98PezhiYhIF2ZqZbJuIhnozaG3hzQ0CljrvS/z3lcDbwLJwc9GAG8FX78OXB98fS2w0Htf4b3/BNgOTHHODQL6eu/f9bWz5/nAl9v1oJqxZMmSjngZaQW1sEU97FCL8JVlZtJtx66obTXd4cf7C+h75tiQRtW16bywQy3sUAs7rLQI7aJn59yjzrndwE3AT5rYZQNwkXOuv3OuF3AlcGaDn9Xd1u6GBtvPAHY3eI6cYNsZwdeNt8dccnJyyztJh1ALW9TDDrUIX/4zzwKH7uIKsH1UNeMrqmDCrNDG1ZXpvLBDLexQCzustIjZZNI5tzJ4v2PjP9cCeO9/5L0/E/gr8J3Gj/febwZ+Se3KYxrwAVAd/PgO4NvOuQygD7WXwUL0ZzzXP9URtjc39nucc+nOufTc3Fx27drF1q1b2bBhA7m5uaxbt46ioiJWrlxJJBJh6dKlwKHfECxdupRIJMLKlSt58cUXWbduHbm5uWzYsIGtW7eya9cuMjIyyM/PZ/Xq1VRWVrJ8+XIAUlNTo/5OS0ujtLSUNWvWsGfPHrKystixYwc7duwgKyuLPXv2sGbNGkpLS0lLS2vyOZYvX05lZSWrV68mPz+fjIyMNh1TUVFRpzym3/72t8fdMXXmTnPnzj3ujqmzdnrqqaeOu2PqTJ0+ePFFSlatoqFNCbBrbA1x424gdX1Opzum46HTggULjrtj6qydnnjiiePumDprp7/85S/H3TF11k5Llizp0GNqTuh3c3XOnQX8j/f+iNfxOOf+Hcjx3v++0fbzgL9476c4534I4L2fE/zsNeARYCfwhvd+ZLB9FnCJ9/4bLY1Pd3M9fqiFLephh1qEK++nj1CQklK/KlkD/PSWOBL7lvKTxPvgwn8OeYRdk84LO9TCDrWwo6vfzXV4g2+vAbY0s9/A4O8hwHXU3lyn4fY44MfAH4KHvAzc6Jw7wTl3NjAceM97nwcUO+cuCO7ieiuwrN0PrAmrGv22WcKjFraohx1qEa5P170Z9f3fT4Ptgx1fKimHoReGNCrReWGHWtihFnZYadE9pNf9D+fcCGo/RmsXcC9A8BEhz3jvrwz2e8k51x+oAr7tvS8Its9yzn07+DoVmAvgvd/onHsR2ETtJbHf9t7XBPt9E3geOBH43+BPzE2ePLkjXkZaQS1sUQ871CI8H6x6kfid/4jaVt0dbis6wMR+w+DMKSGNTHRe2KEWdqiFHVZahHU31+u992O99+O991/y3ucG2z9tMJHEe3+h9360936C9/5vDbY/4b0/L/jzA9/gWl3v/aPe+3O99yMafvSH9z49eM1zvfffafiYWNqypclFVwmBWtiiHnaoRXj2/ulpHNE33tkxqprvFRZBt54hjkx0XtihFnaohR1WWuii5xhLSEgIewgSUAtb1MMOtQhHWWYmg7Nyo7ZtSoAvJBTWfjPx1hBGJXV0XtihFnaohR1WWmgyGWMFBQUt7yQdQi1sUQ871CIc78/7Nc4TdeOd+IklTKisxJ3zBUi6LdwBdnE6L+xQCzvUwg4rLTSZjLEePXqEPQQJqIUt6mGHWoSj+KPNUd/vOiPC1b0P1H7T1AdaSYfSeWGHWtihFnZYaaHJZIzFx8eHPQQJqIUt6mGHWnS8ssxMzvy4NGrbgVM99e/mH3Vtxw9Koui8sEMt7FALO6y00GQyxvbt2xf2ECSgFraohx1q0fE2/uKHxBF9iev+86oBKP7cFF3iaoDOCzvUwg61sMNKC00mY2zo0KFhD0ECamGLetihFh2rLDOTXpt2RW3L6w//1LuYiIO+Vz8a0sikIZ0XdqiFHWphh5UWmkzGWHZ2dthDkIBa2KIedqhFx9qx8NnDPg5kw4RqJlRU8ve+U/TZkkbovLBDLexQCzustHAd9HGLnVZSUpJPT08/5sdXVlbSs6c+K8wCtbBFPexQi471bvIXOXlzbv1k8pPT4IyZ+xhbWYW/9X/occ70sIco6LywRC3sUAs7OrqFcy7De5/UeLtWJmNsxYoVYQ9BAmphi3rYoRYdpywzk75boj9bsmpg7arkjhPG8tomG7d6F50XlqiFHWphh5UWWplsQVtXJkVEROrk/fQRClJSom68M/9rNfwne3iv/5eZev+8kEcoIiJyOK1MhiQ1NTXsIUhALWxRDzvUouPsS18b9f3fT4PKgdXUACdPu0UtDFELO9TCDrWww0oLrUy2QCuTIiLSHsoyM9k5azZw6OY72wfBkMv2cXLV5zj7pxtCHZ+IiEhztDIZEiu/NRC1sEY97FCLjrFj4bNA9F1ct4+qfb/k3tG3A2phiVrYoRZ2qIUdVlpoZbIFWpkUEZH20PgurpsSYNM1B7lrfw8GP7It7OGJiIg0SyuTIUlLSwt7CBJQC1vUww61iL2ClBRO3lx7F1cP1DhIuSSOa0pK2T3m3vr91MIOtbBDLexQCzustNDKZAvaujJZWlpK796923FEcqzUwhb1sEMtYu+TG77Kwezs+lXJ3f3h1dkV3FMwiDE/XlO/n1rYoRZ2qIUdamFHR7fQymRIsrKywh6CBNTCFvWwQy1ir/Cz6M+WLD4R+tdEqOh5ctR2tbBDLexQCzvUwg4rLTSZjLFhw4aFPQQJqIUt6mGHWsRWQUoKJ/xjf9S2nAGOa0pKqYo/LWq7WtihFnaohR1qYYeVFppMxlheXl7YQ5CAWtiiHnaoRWzlLpwPHLqLawTYe14V4yoqOXnaLVH7qoUdamGHWtihFnZYaaHJZIz16dMn7CFIQC1sUQ871CK2ikryo77fkgBfjS9kS8+xjJz8xaifqYUdamGHWtihFnZYaaHJpIiISIwUpKTQb3cRENzFFXj/87WfLVly3nWhjk1ERKStNJmMseLi4rCHIAG1sEU97FCL2Nk/79AlrgCf9ofS02uIAJGy/MP2Vws71MIOtbBDLeyw0kKTyRgbNGhQ2EOQgFrYoh52qEVslGVmUvHJx1Hb8k6F/tURPI5+o79w2GPUwg61sEMt7FALO6y00GQyxrZv3x72ECSgFraohx1qERtFS5eBj77xzitT47impJSMEy447P2SoBaWqIUdamGHWthhpYUmkzGWmJgY9hAkoBa2qIcdahEb+3J3RH2/JQGqB1YztqKSky/7lyYfoxZ2qIUdamGHWthhpYUmkzH29ttvhz0ECaiFLephh1rERkl+9G3bi0+Emw8UU3Di2U2uSoJaWKIWdqiFHWphh5UWznsf9hhMS0pK8unp6WEPQ0REOpGyzEx2zp4ddZnrR2OquXbcXtzVT0DSbSGPUEREpPWccxne+6TG27UyGWOpqalhD0ECamGLetihFu1v7+O/jppI1gCbRkfI7T7kiBNJtbBDLexQCzvUwg4rLbQy2QKtTIqIyNEoSEkh76ePAIcmk+8Nh9euruGBU7/B1Bv+OczhiYiIHDWtTIbEym8NRC2sUQ871KJ9Nfxsybq7uL58QRz/VBLf4kRSLexQCzvUwg61sMNKC61MtkArkyIi0lplmZnsnDUbODSZ3JQAy79Szf0HhnP+918NdXwiIiLHQiuTIVm+fHnYQ5CAWtiiHnaoRfvJf+ZZIHpVcsElcTywv5Cq+NNafLxa2KEWdqiFHWphh5UWWplsQVtXJisrK+nZs2c7jkiOlVrYoh52qEX7+eSGr3IwO7t+MpnTH3739QipuXvYdvXiZj8SpI5a2KEWdqiFHWphR0e30MpkSN55552whyABtbBFPexQi/ZTcnpfoHYiCZA+rPazJTf2v7zFiSSohSVqYYda2KEWdlhpoclkjI0bNy7sIUhALWxRDzvUon2UZWYSt3INcOgy11O71XBdcSmlJ5/bqudQCzvUwg61sEMt7LDSQpPJGNu5c2fYQ5CAWtiiHnaoRfvY+/ivcT76/ZJ/T6hdo+w3+guteg61sEMt7FALO9TCDistNJmMsQEDBoQ9BAmohS3qYYdatF1ZZiZljd5fn9cfPjnDsaXn2FZd4gpqYYla2KEWdqiFHVZadA97AMe78vLysIcgAbWwRT3sUIu2K1q6DDi0KgnwP5MdXy4uoduM37f6edTCDrWwQy3sUAs7rLTQymSMVVVVhT0ECaiFLephh1q0v00JkDu6mrHlZ7d6VRLUwhK1sEMt7FALO6y00GQyxvr16xf2ECSgFraohx1q0XY1ZaXAoVXJj86AM6qqqeh58lE9j1rYoRZ2qIUdamGHlRaaTMZYTk5O2EOQgFrYoh52qEXbFKSkcOCV2g+PdsG2s/dC/5oIVfGnHdVzqYUdamGHWtihFnZYaRHKZNI59wvn3IfOuSzn3Arn3OBm9vuuc26Dc26jc+6BBtsnOOfedc5lO+decc71bfCzHzrntjvntjrnLm+wfXWwLSv4MzC2R1lr5MiRHfEy0gpqYYt62KEWx64sM5O8R34GRL9f8r3zHFeVlHLytFuO6vnUwg61sEMt7FALO6y0CGtl8lfe+/He+0RgOfCTxjs458YCdwNTgAnA1c654cGPnwF+4L0fBywBHgoeMxq4ERgDXAH83jnXrcHT3uS9Twz+7I3RsUVZv359R7yMtIJa2KIedqjFsStaugy8r1+RhNr3S0bOK+fUqs8d1fslQS0sUQs71MIOtbDDSotQJpPe+wMNvu3NoV/mNjQKWOu9L/PeVwNvAsnBz0YAbwVfvw5cH3x9LbDQe1/hvf8E2E7tZDQ0X/hC6z5bTGJPLWxRDzvU4tjty91R/3XdZ0suvCSO24uK2Tv69qN+PrWwQy3sUAs71MIOKy1Ce8+kc+5R59xu4CaaWJkENgAXOef6O+d6AVcCZzb42TXB1zc02H4GsLvBc+QE2+rMDS5x/VfnXMNfJDce2z3OuXTnXHpubi67du1i69atbNiwgdzcXNatW0dRURErV64kEomwdOlSAJYsWQLA0qVLiUQirFy5ksWLF7Nu3Tpyc3PZsGEDW7duZdeuXWRkZJCfn8/q1auprKxk+fLa99ukpqZG/Z2WlkZpaSlr1qxhz549ZGVlsWPHDnbs2EFWVhZ79uxhzZo1lJaWkpaW1uRzLF++nMrKSlavXk1+fj4ZGRltOqaioqJOeUxPPfXUcXdMnbnTvHnzjrtj6qydfv/73x93x9RRnf6Ru42G0ofD1+ILoPJspt7wz0d9TKmpqaEf0/HY6ViOKSUl5bg7ps7a6cknnzzujqmzdnrhhReOu2PqrJ2WLVvWocfUHOd9U4uCbeecWwmc3sSPfuS9X9Zgvx8C8d77nzbxHHcC3wZKgE3AQe/995xzI4HfAv2Bl4H7vff9nXO/A9713v8lePyzwKve+5ecc2d473Odc32Al4C/eO/nt3QcSUlJPr3RB1GLiIgUpKSQ99NH6r+vcbDghmp+7j5j1bT5zLjimuYfLCIi0ok45zK890mNt8dsZdJ7/0Xv/dgm/ixrtOsLHLpMtfFzPOu9P997fxGwH9gWbN/ivZ/hvZ8ELADqrjPK4dAqJUAC8GnwmNzg7+LgNTvk8te63yBI+NTCFvWwQy2Ozf55tb+PrLvM5dNTofRzNaTXjGDbCaOP6TnVwg61sEMt7FALO6y0iNnK5BFf1Lnh3vttwdf3ARd777/SxH4Dvfd7nXNDgBXANO99QYPtccDzwGrvoV8xIQAAIABJREFU/XPOuTEcmigOBv4GDKf2f+tP8d7vc871oHYCutJ7/4eWxqqVSRERaawsM5Ods2eDP3QX1/eGw98vO8g5e89n1N3PMuksG58BJiIi0lYdvjLZgv8IPvLjQ2AG8F0A59xg59yrDfZ7yTm3CXgF+Lb3viDYPss59xGwhdqVx7kA3vuNwIvUXhKbFjymBjgBeC14vSwgF/hTrA8SqL/GWcKnFraohx1qcfRq7+J6aCIZAZZPjePqklJyhlx7zBNJtbBDLexQCzvUwg4rLUJZmexM2royGYlEiIsL7T5H0oBa2KIedqjF0dvx5WQqtmypn0x+chrMvbmGR3LiqbjrzWOeTKqFHWphh1rYoRZ2dHQLayuTXcaqVavCHoIE1MIW9bBDLY5OWWYmFVu3Rm2r7g49gNyTxrTp8la1sEMt7FALO9TCDistNJmMscmTJ4c9BAmohS3qYYdaHJ2y99aD9/WrkgCrJjiuLS7lrC/c2abnVgs71MIOtbBDLeyw0kKTyRjbsmVL2EOQgFrYoh52qMXRKd9e+9mSdRPJrKFQfl4FU0tPYeTkL7bpudXCDrWwQy3sUAs7rLTQZDLGEhISwh6CBNTCFvWwQy1arywzkwOv1H7wc91HgjgH3jn29jiz+Qe2klrYoRZ2qIUdamGHlRaaTMZYQUFByztJh1ALW9TDDrVovfxnngWIusR17QjHF0vLyBzy9TY/v1rYoRZ2qIUdamGHlRaaTMZYjx49wh6CBNTCFvWwQy1apywzk5JGNzzYlAC5o6sZUnQmky+8os2voRZ2qIUdamGHWthhpYUmkzEWHx8f9hAkoBa2qIcdatE6+c88i29w450a4IVL4xhcVc1f+9zRpru41lELO9TCDrWwQy3ssNJCk8kY27dvX9hDkIBa2KIedqhF61Tv3Rv1fV5/2HaG42B1f6ZdPLNdXkMt7FALO9TCDrWww0oLTSZjbOjQoWEPQQJqYYt62KEWrdNj6FnAofdKpg+Dbh5Gnvh5Zk8d0i6voRZ2qIUdamGHWthhpYUmkzGWnZ0d9hAkoBa2qIcdatGyssxMDiw/dBdXDxyMd1xXXMIMX9xur6MWdqiFHWphh1rYYaWF8963vFcXlpSU5NPT04/58ZWVlfTs2bMdRyTHSi1sUQ871KJlu7/9HYr/9reo90s+crPjX+M+Y/DZNzBw1u/b5XXUwg61sEMt7FALOzq6hXMuw3uf1Hi7ViZjbMWKFWEPQQJqYYt62KEWLSva+EHU9/l9oc+AKsZVVjHwn25rt9dRCzvUwg61sEMt7LDSQiuTLWjryqSIiHRuZZmZfDJrNo5Dl7i+NxwmTNvHztMeIPnuH4U8QhERkdjSymRIUlNTwx6CBNTCFvWwQy2OrGjpsqiJZATImBSh4uA5DJnxrXZ9LbWwQy3sUAs71MIOKy20MtkCrUyKiHRt66+7gt6bdtVPJjclQPUVB8ju+XMevf/OsIcnIiISc1qZDImV3xqIWlijHnaoRfPKMjM5cfOuqG2Fp3qGFibAmVPa/fXUwg61sEMt7FALO6y00MpkC7QyKSLSdWU//B26LYu+i+srX6nkencCJXetYdJZ/UIeoYiISOxpZTIkaWlpYQ9BAmphi3rYoRbNO/B+9C8T/34aXNnrAPtOODMmE0m1sEMt7FALO9TCDistNJmMsQsvvDDsIUhALWxRDzvUomllmZn0yymK2hYfF2FsRSXLen8lJq+pFnaohR1qYYda2GGlhSaTMZaVlRX2ECSgFraohx1q0bSy99bj/aG7uAJsG13Dx5EzSPz85TF5TbWwQy3sUAs71MIOKy26hz2A492wYcPCHoIE1MIW9bBDLZqWt+E9unFoIvnWaNg7qprMnrcye+qQmLymWtihFnaohR1qYYeVFlqZjLG8vLywhyABtbBFPexQi8MVpKTQ7fU1QO3KZAT4dIDj3AMDWNnrypi9rlrYoRZ2qIUdamGHlRaaTMZYnz59wh6CBNTCFvWwQy0Ot+MvfwKiL3GNH1hB//KT2XugPGavqxZ2qIUdamGHWthhpYUmkyIiIo0cLPgs6vtdwV1cAb42OTaXuIqIiHQ2mkzGWHFxcdhDkIBa2KIedqhFtIKUFPrvq4zatm9QhAkVlVT3Oi1m75cEtbBELexQCzvUwg4rLTSZjLFBgwaFPQQJqIUt6mGHWkTLXTgfOHSJawQoHlZFDY6cIdfG9LXVwg61sEMt7FALO6y00GQyxrZv3x72ECSgFraohx1qES3vxIqo77ckwOdPKubH1Xcw+cIrYvraamGHWtihFnaohR1WWmgyGWOJiYlhD0ECamGLetihFtF2jOwLHLrxzt/Pq6ay7BzKx93CpLP6xfS11cIOtbBDLexQCzustNBkMsbefvvtsIcgAbWwRT3sUItop2fX3m7dBd8P2QuFnESvE2L/0cxqYYda2KEWdqiFHVZaOO99y3t1YUlJST49PT3sYYiISAf4YNWLdPvWT4nj0Hsmd4yppseoIaSe90uevjUp5BGKiIh0POdchvf+sP8R1MpkjKWmpoY9BAmohS3qYYdaHLL7xT9HTSRrgCFDSgA4rc8JMX99tbBDLexQCzvUwg4rLbQy2QKtTIqIdB0rr57G/8/evcfnXdf3/3+8kjakR+iBQs8FWg4thSDhMLWoDHBDKIqiQ6YTNx37wqxjzukUnXi46abbPGzzt6E4UQGRNkDRUEqtYIFKYgMN0NoWWmhaUlpKKCltmlyv3x/XJ22SHpI2ua7PK/k877dbTK5PrsPr44MQPnlf1+easPbVvQeTL41t4x1/3MgDbZUc+7FfFPw1kyIiIhH12cqkmY0yszP6ZqyBL8pfDUQtolGPONRiH2vZ0+lySWn+c8uQsUU5kFSLONQiDrWIQy3iiNKiRyuTZrYUmAsMAuqAl4HfuPuNBZ0uAK1MiohkQ92WOh6/7oNc8My+34vPVuzh8lNe4Y6Z3+fDH3h/itOJiIikp7crk0e7+2vAlcCt7n42cFFfDjhQLVy4MO0RJKEWsahHHGqRt+yBH/KWZ/MHku1Pcz3ZWljSdhY7xr2pKDOoRRxqEYdaxKEWcURp0dOVyZXAJcD/AZ9z9yfM7Cl3H/BPd+3tymRLSwtlZWV9OJEcKbWIRT3iUIu8X/zVRcz8bcPeA8mcOSdeuJWnRp3E4I9VF+VprmoRh1rEoRZxqEUcxW7R25XJm4EHgLXJgeSJwJq+HHCgevTRR9MeQRJqEYt6xKEWecM3vdbp8kvjcwwZu4ejj8oV7cQ7ahGHWsShFnGoRRxRWvToHZjd/S7grg6XnwPeW6ihBpLZs2enPYIk1CIW9YhDLfLvLznp+R2dtu0uzz9z56HySzitSHOoRRxqEYdaxKEWcURp0aOVSTP7zgE+vmxmVxR6wP5u/fr1aY8gCbWIRT3iUAvY9NsHMc+/VrJdbggsz53K6Av+umhzqEUcahGHWsShFnFEadHTp7mWAxXkn9q6BjgDGA38pZn9R4FmGxDGjh2b9giSUItY1CMOtYBBx4za+1pJB9oMpkx5nQ0T38UHz5tStDnUIg61iEMt4lCLOKK06OnB5HTgQnf/rrt/l/yZXE8D3kP+xDyHJVnVfMrM6sxskZlNOMj15plZvZk9bWaf7LD9TDN7zMxWmtl9ZjYy2T7GzH5tZq+b2fe63NfZyfXXJiur1vXxCmHXrl3FeBjpAbWIRT3iUAvY/cyzwL6VyRdOaOWMkTuZ8drjRZ1DLeJQizjUIg61iCNKi54eTE4EhnW4PAyY4O5twO4jeNx/dfcz3L0CWAh8oesVzOx04GPAucCZwGVmNiP59i3AZ9x9NrAA+Idk+y7gJuBTB3jM/wY+DsxIPv7kCOY+bHv27On+SlIUahGLesShFlC+cesBtw/b/XJR51CLONQiDrWIQy3iiNKipweT/wLUmdmtZvYjYAXwTTMbBiw+3AdN3rOy3TDyzyrq6jTgcXff6e6twG/Ir4QCnAI8nHz9IMnJgNy92d1/S/6gci8zGw+MdPfHPP9eKD8G3n24cx+JUaOKcwZA6Z5axKIecWS9xc4VKxi/7tVO294Ymv/86ql/VtRZst4iErWIQy3iUIs4orTo0cGku/8AeDNQlXy81d1vSQ7e/uHQtz4wM/uqmb0IXMMBViaBeuCC5KmrQ4FLgckdvjc3+fqqDtsPZiKwscPljcm2gtu4cWP3V5KiUItY1COOrLdoqrpn78l3HGgD/nBqjnWlJ3DeVX9f1Fmy3iIStYhDLeJQiziitOjpymT7dV8GXgGmm9kFh7qymS1OXu/Y9eMKAHf/nLtPBn4K3ND19u7+LPAN8iuP1cCTQGvy7Y8C15tZLTACaOlm9gO9PvJAq6Hts3/czGrMrKahoYENGzawevVq6uvraWhoYPny5TQ1NbF48WJyuRxVVVUALFiwAICqqipyuRyLFy9m4sSJLF++nIaGBurr61m9ejUbNmygtraWbdu2sXTpUlpaWli4cCEA8+fP7/S5urqa5uZmli1bRmNjI3V1daxbt45169ZRV1dHY2Mjy5Yto7m5merq6gPex8KFC2lpaWHp0qVs27aN2traXu1TU1NTv9ynDRs2DLh96s+dzGzA7VN/7dTQ0DDg9ulwOm1saKCj2hnQOq6N9aUnFH2fpkyZkql/9iLv09ixYwfcPvXXTu1nrRxI+9RfOw0fPnzA7VN/7XTyyScXdZ8OxvLP+jw0M/sG8AHgaSCXbHZ3n3vwW/WMmU0F7nf307u53teAje7+X122nwz8xN3P7bDtI0Clu9+QXB4P/NrdT00uXw283d27Pd97ZWWl19TUHOZe7bN48WIuuuiiI7699B21iEU94sh6i8ZvfpNtt/xg7+Wq82DG7CamTP37oq9MZr1FJGoRh1rEoRZxFLuFmdW6e+V+23t4MLkaOMPdj+RkOwe6vxnuvib5+m+Bt7n7+w5wvXHuvsXMpgCLgD9y9+0dtpcAPwKWuvsPO9zuI3Q4mEy2PQH8LbAc+CXwXXf/ZXez9vZgMpfLUVJyOAvAUihqEYt6xJH1FvXveRclzz6392mua8dD49zXmV36Ds7/xI+LOkvWW0SiFnGoRRxqEUexWxzsYLKnEzwHDO7Deb6ePOX1KfJvLTIPwMwmmFnHA7y7zewZ4D7genffnmy/2sz+AKwCNgG3tt/AzNYD/wZ8xMw2mtnM5Ft/Q/4ssGuBdcCv+nB/Duree+8txsNID6hFLOoRR9ZbbGt7rdPlPaVwzhu7sAO+QqKwst4iErWIQy3iUIs4orTo6crk3eTfnuMhOrwViLt/onCjxdDblUkREYmt+tJzmfLcjr0rk8+emOPd57zEmsvu5tRz9HQuERGR3q5M3gt8GXgUqO3wId1of6GspE8tYlGPOLLcYueKFUx6fkenba8Nh+dLT0jlQDLLLaJRizjUIg61iCNKix6tTGaZViZFRAauzV/8Z7bfeWentwW5/f2tXDH2zZz3if9LeToREZEYjmhl0sx+nnxeaWZPdf0o1LADSfupfCV9ahGLesShFvvUzoCysa00nfzeVB5fLeJQizjUIg61iCNKi0OuTJrZeHffnLx9x37cfUPBJgtCZ3MdONQiFvWII8stnrrlWwz65i17L9/yTuPsY4fy6lvu4Pp3TC/6PFluEY1axKEWcahFHP3ibK7uvjn5vOFAH4UadiBZsmRJ2iNIQi1iUY84styi8aH8ib3bz9v6x2v2cM7unZx/4phU5slyi2jUIg61iEMt4ojSokeHs2Z2pZmtMbMmM3vNzHaY2Wvd31LOOeectEeQhFrEoh5xZLnF0M3bO10+Zrux56hRnD11VCrzZLlFNGoRh1rEoRZxRGnR07XRfwHmuvvR7j7S3Ue4+8hCDjZQrFq1Ku0RJKEWsahHHFlu8cbwss6Xh8DusqNTmibbLaJRizjUIg61iCNKi54eTDa6+7MFnWSAmjRpUtojSEItYlGPOLLcYvewwZ0vlzstrbmUpsl2i2jUIg61iEMt4ojSoruzuV5pZlcCNWZ2p5ld3b4t2S7d2L59e/dXkqJQi1jUI44st8iN6rwKmRsC2+2YlKbJdoto1CIOtYhDLeKI0mJQN9+/vMPXO4FLOlx2YH6fTzTADB48uPsrSVGoRSzqEUeWW4wcfRywlvbzmpcf08Ke489MbZ4st4hGLeJQizjUIo4oLQ55MOnu1wKY2VvcfVnH75nZWwo52EBRXl6e9giSUItY1COOrLbYuWIFYxbkf7UZ0AY05Mo4u2VNajNltUVEahGHWsShFnFEadHT10x+t4fbpIutW7emPYIk1CIW9Ygjqy2aqu6hxPMHkg64Qe3UEo4bmd4v6Ky2iEgt4lCLONQijigtDrkyaWZ/BLwZONbMbuzwrZFAaSEHGyimTZuW9giSUItY1COOrLbY2rCu0y+y1RPBjm1l3Fs/ktZImW0RkVrEoRZxqEUcUVp0tzJZBgwnf9A5osPHa8D7CjvawLBy5cq0R5CEWsSiHnFktcVLzZs7XX59CFy6cwRMPjelibLbIiK1iEMt4lCLOKK0MHc/9BXMSoE73T2TB4+VlZVeU1NzxLdvaWmhrKys+ytKwalFLOoRR1Zb3P+BCzjhyZf3Ps31mdNbOe+csUz+x8dSmymrLSJSizjUIg61iKPYLcys1t0ru27v9jWT7t4GjC7IVBmwaNGitEeQhFrEoh5xZLHFk0t+zpSnXgbYeybXo49uYdOJ6f7dNIstolKLONQiDrWII0qLblcmAczsW8AM4C6guX27uw/4twbp7cqkiIjEs/C6yzlx6VosuZwDVp4ziKeu/Blfe8/sNEcTEREJ54hXJhOjgW3AheTfe/Jy4LK+G2/gmj9/wB9v9xtqEYt6xJHFFra9ae/XTv5gMjd6OGsbd6Q2E2SzRVRqEYdaxKEWcURp0aOVySzTyqSIyMDT9fWSL0xogzdP5r+P/xL33PDWtMcTEREJpVcrk2Y2ycwWmNkWM2s0s7vNbFLfjznwRPmrgahFNOoRh1pAW3n+D6sfOGdKqnOoRRxqEYdaxKEWcURp0dPXTD4I/Ay4Ldn058A17n5xAWcLQSuTIiIDzy8+djEzH9m4d2Vy3axWys6t5J3/eHvao4mIiITT29dMHuvut7p7a/LxI+DYPp1wgKqurk57BEmoRSzqEUfWWtRtqePR4S8B+87kOnXEGxxz4n6/I4suay0iU4s41CIOtYgjSoueHkxuNbM/N7PS5OPPyZ+QR7oxZ86ctEeQhFrEoh5xZK3FfevuY+rmNoDkbK7OsVtK8M1PpjkWkL0WkalFHGoRh1rEEaVFTw8mPwq8H3gJ2Ay8L9km3airq0t7BEmoRSzqEUfWWqx7dR0jmzu/xKN1tzFiz/aUJtonay0iU4s41CIOtYgjSotBPbmSu78AzC3wLAPS9OnT0x5BEmoRi3rEkbUW23dvZ/gb+28fP6q8+MN0kbUWkalFHGoRh1rEEaXFIQ8mzewLh/i2u/uX+3ieAWfz5s0cd9xxaY8hqEU06hFH1lrM2jyI0xo6bxtUnmP00LJ0Buogay0iU4s41CIOtYgjSovuViabD7BtGPCXwBhAB5PdGDFiRNojSEItYlGPOLLWomLjIHD2nsnVDY4+4Q0YPi7t0TLXIjK1iEMt4lCLOKK0OOTBpLt/q/1rMxsBzAOuBe4AvnWw24mIiEQ1dHf+hAHtr5rcNL2VmWP3wPFnpjmWiIhIv9PtCXjMbLSZfQV4ivzB55vc/R/dfUvBpxsAduzYkfYIklCLWNQjjqy1OOrJtUD7mVyBHaXkAN5I/yTlWWsRmVrEoRZxqEUcUVp095rJfwWuBP4HmO3urxdlqgFk/PjxaY8gCbWIRT3iyFqLtsGd/47aVpKsUU5L/zTrWWsRmVrEoRZxqEUcUVp0tzL598AE4PPAJjN7LfnYYWavFX68/m/t2rVpjyAJtYhFPeLIWou2EUM6Xy53Ng4+ESafm9JE+2StRWRqEYdaxKEWcURp0d1rJnv6PpRyEBUVFWmPIAm1iEU94lAL2DZ4PFPTHgK1iEQt4lCLONQijigtdLBYYI888kjaI0hCLWJRjziy1iI36ujOl4fAnvJjU5qms6y1iEwt4lCLONQijigtzN27v1aGVVZWek1NTdpjiIhIH7nv7z7CSb9avvdyw1t2MuMDn2baJdenOJWIiEhcZlbr7pVdt2tlssDmz5+f9giSUItY1COOLLXYuWIFJ1TnDyQNyAHb2wYzrWVNqnO1y1KL6NQiDrWIQy3iiNJCK5Pd0MqkiMjAsfmL/8z2O+/EyL/PZJvBfe9r4Z9mnQ9/9tO0xxMREQlJK5MpifJXA1GLaNQjjiy1aN26tdPl1ROhcbzD8HEpTdRZllpEpxZxqEUcahFHlBZameyGViZFRAaOF6+/gR0PPbR3ZXL5DFjxp7v5zuV3hHhrEBERkYi0MpmShQsXpj2CJNQiFvWII+stSkuPC3MgmfUWkahFHGoRh1rEEaWFVia70duVyZaWFsrKyvpwIjlSahGLesSRpRZdXzO5qMJomftWPv3B/0l7NCBbLaJTizjUIg61iKPYLbQymZJHH3007REkoRaxqEccWWpRPvM0IH8gCfD88bCy+en0BuoiSy2iU4s41CIOtYgjSotUDibN7Mtm9pSZ1ZnZIjObcJDrzTOzejN72sw+2WH7mWb2mJmtNLP7zGxksn2Mmf3azF43s+91ua+lZrY6ecw6MyvK2RZmz55djIeRHlCLWNQjjiy12PXMs0D+bUEATnzJ2WLN6Q3URZZaRKcWcahFHGoRR5QWaa1M/qu7n+HuFcBC4Atdr2BmpwMfA84FzgQuM7MZybdvAT7j7rOBBcA/JNt3ATcBnzrI417j7hXJx5a+252DW79+fTEeRnpALWJRjziy1GJrw7pOl0c2w/i2wSlNs78stYhOLeJQizjUIo4oLVI5mHT31zpcHMa+Zxx1dBrwuLvvdPdW4DfAe5LvnQI8nHz9IPDe5H6b3f235A8qQxg7dmzaI0hCLWJRjziy1OKl5s2dLhtw6c6R6QxzAFlqEZ1axKEWcahFHFFapPaaSTP7qpm9CFzDAVYmgXrgguSpq0OBS4HJHb43N/n6qg7bu3Nr8hTXm8zMur967+3aFea4NvPUIhb1iCNLLVpyLZ0uH9PWxvQ9R6U0zf6y1CI6tYhDLeJQiziitCjYwaSZLU5e79j14woAd/+cu08Gfgrc0PX27v4s8A3yK4/VwJNAa/LtjwLXm1ktMAJo6Xr7A7gmeVrsnOTjQ4eY/eNmVmNmNQ0NDWzYsIHVq1dTX19PQ0MDy5cvp6mpicWLF5PL5aiqqgJgwYIFAFRVVZHL5Vi8eDFNTU0sX76choYG6uvrWb16NRs2bKC2tpZt27axdOlSWlpa9p7et/0NSNs/V1dX09zczLJly2hsbKSuro5169axbt066urqaGxsZNmyZTQ3N1NdXX3A+1i4cCEtLS0sXbqUbdu2UVtbm8l9euyxxwbcPvXnTs8999yA26f+2mn58uUDbp8O1mnXsCF0VDrE2d42JMw+vf7665n6Zy/yPm3dunXA7VN/7bRs2bIBt0/9tdOmTZsG3D711067d+8u6j4dTOpvDWJmU4H73f30bq73NWCju/9Xl+0nAz9x93M7bPsIUOnu+x2k9uT7HfX2rUEaGhqYOHHiEd9e+o5axKIecWSpxYPf+TQT/+u+vZcb3rKTPW+9jkuv/WyKU+2TpRbRqUUcahGHWsRR7Bah3hqkw4l0IP901VUHud645PMU4Erg9i7bS4DPA9/v5vEGmdnY5OvBwGXknypbcBs3bizGw0gPqEUs6hFHllrs7nI2192vlsFLT6Y3UBdZahGdWsShFnGoRRxRWgxK6XG/bmanADlgA3AdQPIWIbe4+6XJ9e42szHAHuB6d9+ebL/azK5Pvp4P3Np+x2a2HhgJlJnZu4FLksd4IDmQLAUWA/9bwP3b69RTTy3Gw0gPqEUs6hFHllrY9qbOl9+AKW0vpjTN/rLUIjq1iEMt4lCLOKK0SOtsru9199OTtwe53N0bku2bOhxI4u5z3H2mu5/p7g912P5tdz85+fiMd3iurrtPc/fR7j7c3Se5+zPJWV7PTh5vlrvPc/e2YuzrE088UYyHkR5Qi1jUI46stxjFjrRH2CvrLSJRizjUIg61iCNKi9RfMxldb18zmcvlKClJ7aS50oFaxKIecWSpxf3v+yNOqH8VI/+eVM+f2Mr4t8/gTZ/+ZdqjAdlqEZ1axKEWcahFHMVuEeo1k1ly7733pj2CJNQiFvWII0stckO7XB4Cv5tw0JN7F12WWkSnFnGoRRxqEUeUFlqZ7EZvVyZFRCSOB7/4Pibe+fTeyw1veQO/6jtc8idzD3ErERGRbNPKZEra3w9G0qcWsahHHFlqsfv5TUDHs7kOZuQffpHeQF1kqUV0ahGHWsShFnFEaaGVyW5oZVJEZOCI/ppJERGRiLQymZKqqqq0R5CEWsSiHnFkqcUeL91v21Gl+29LS5ZaRKcWcahFHGoRR5QWWpnshs7mOnCoRSzqEUeWWvz83W/m9FXbO61MTr/kVE755H1pjwZkq0V0ahGHWsShFnHobK4ZsWTJkrRHkIRaxKIecWSphY05ptPl3BB4bVdrStPsL0stolOLONQiDrWII0oLHUwW2DnnnJP2CJJQi1jUI44stTjmzNOB/KokQPkxLZy16zF48XfpDdVBllpEpxZxqEUcahFHlBY6mCywVatWpT2CJNQiFvWII0stdj/zLNDxbK5llOKw+IvpDdVBllpEpxZxqEUcahFHlBY6mCywSZMmpT2CJNQiFvWII0stbHtTp8u7dyW/Bl/+QwrT7C9LLaJTizjUIg61iCNKCx1MFtj27dvTHkESahGLesSRpRZlJWWdLr9WUsIvhg+DkeNTmqizLLWITi3iUIto3qgrAAAgAElEQVQ41CKOKC10MFlggwcPTnsESahFLOoRR5ZaHD9s/4PG+SOGw6QYrz3JUovo1CIOtYhDLeKI0kIHkwVWXl6e9giSUItY1COOLLUYO/GkTpebhhnHtrbBmVenNFFnWWoRnVrEoRZxqEUcUVroYLLAtm7dmvYIklCLWNQjjiy1KJ95GrDvbK7PHw8nDX8TTD43vaE6yFKL6NQiDrWIQy3iiNJCB5MFNm3atLRHkIRaxKIecWSpxa4uZ3M98SXnD7tfTm+gLrLUIjq1iEMt4lCLOKK00MFkga1cuTLtESShFrGoRxxZatHa5S+5I5thV9urKU2zvyy1iE4t4lCLONQijigtdDBZYG9+85vTHkESahGLesSR5RbD34Bh/hq8+Lu0RwGy3SIatYhDLeJQiziitNDBZIEtWrQo7REkoRaxqEccWW5xWgMcv8l4+be3pj0KkO0W0ahFHGoRh1rEEaWFuXv318qwyspKr6mpSXsMERHpA5u/+M9sv/POva+ZzAFPn7eHKWe/hfM/8X9pjiYiIhKWmdW6e2XX7VqZLLD58+enPYIk1CIW9YgjSy2OfvcVeInh5M/oasCoQXt4pe2olCfLy1KL6NQiDrWIQy3iiNJCK5Pd0MqkiMjA8uDVFzFxRQNG/oDyuVmtnHb2aE76p+VpjyYiIhKSViZTEuWvBqIW0ahHHFlr0ZJr6XR5ZCO02uCUpuksay0iU4s41CIOtYgjSgutTHZDK5MiIgPLLz52MTMf2bh3ZRKcPW8Zy5k/+G26g4mIiASllcmUVFdXpz2CJNQiFvWII2sttk4eAex7zSRA6eodqc3TUdZaRKYWcahFHGoRR5QWWpnsRm9XJpubmxk2bFgfTiRHSi1iUY84stZi4XWXceLSdXsPJB149cThvPmXT6Q5FpC9FpGpRRxqEYdaxFHsFlqZTEldXV3aI0hCLWJRjziy1mLqyGl7v27/c+rTJ6Uyyn6y1iIytYhDLeJQiziitNDBZIFNnz497REkoRaxqEccWWtx0tV/SY7OT3MdtflVqPlRekMlstYiMrWIQy3iUIs4orTQwWSBbd68Oe0RJKEWsahHHFlrseOhhw74y+/lR24p+ixdZa1FZGoRh1rEoRZxRGmhg8kCGzFiRNojSEItYlGPOLLWYseDiwE6nM0Vth7rvPR6LrWZ2mWtRWRqEYdaxKEWcURpoYNJERHJlBEXXwR0fprr2JeN5tKRqc0kIiLSH+lgssB27IhxunlRi2jUI46stTjuU59i++RjOm07ysGGH5fSRPtkrUVkahGHWsShFnFEaaGDyQIbP3582iNIQi1iUY84sthi5+VzgH1Pcy0/pgXGn5HeQIkstohKLeJQizjUIo4oLXQwWWBr165NewRJqEUs6hFHFlvsfuZZYN/TXDftKMc3P5neQIkstohKLeJQizjUIo4oLXQwWWAVFRVpjyAJtYhFPeLIYoujmt7odDn3RglVg9L/xZzFFlGpRRxqEYdaxBGlhQ4mC+yRRx5JewRJqEUs6hFHFluMKNv/LHg1Za+nMElnWWwRlVrEoRZxqEUcUVqYu3d/rQyrrKz0mpqatMcQEZE+9ODVFzFxRcPetwd5ehK8cNlO3vWWH3DqORelPZ6IiEgoZlbr7pVdt2tlssDmz5+f9giSUItY1COOLLbYdfSQTpdP2+j8zZpmXn3sxylNlJfFFlGpRRxqEYdaxBGlhVYmu6GVSRGRgWfhPd9i6j/eQikkq5POqBN3svntp/OmT/8y7fFERERC0cpkSqL81UDUIhr1iCOLLR4c8QKrJ3Xe1rrbDnzlIspii6jUIg61iEMt4ojSIpWVSTP7MnAFkAO2AB9x900HuN484GPk/3D8v+7+H8n2M4HvA8OB9cA17v6amV0MfB0oA1qAf3D3JcltzgZ+BAwBfgnM8x7svFYmRUQGnqvvv5pLvl/HeWvY+7rJtsm7Gfn2o5n6uRVpjyciIhJKtJXJf3X3M9y9AlgIfKHrFczsdPIHkucCZwKXmdmM5Nu3AJ9x99nAAuAfku1bgcuT7X8B3NbhLv8b+DgwI/n4kz7fqwNYuHBhMR5GekAtYlGPOLLY4srpV+637aVBpUzZ8xzU/Kj4AyWy2CIqtYhDLeJQiziitEj9NZNm9llgirv/TZftVwHvdPe/Si7fBOx2938xs9eAo93dzWwy8IC7z+xyeyN/cDkBGA382t1PTb53NfB2d//r7ubr7cpkS0sLZWVlR3x76TtqEYt6xJHVFne/91xOe3rH3pXJ509s5dJzttB87JkMv+HhVGbKaouI1CIOtYhDLeIodotoK5OY2VfN7EXgGg6wMgnUAxeY2RgzGwpcCkzu8L25yddXddje0XuBFe6+G5gIbOzwvY3JtoJ79NFHi/Ew0gNqEYt6xJHVFmXHHtfpci45wev6lqNTmCYvqy0iUos41CIOtYgjSouCHUya2WIzqz/AxxUA7v45d58M/BS4oevt3f1Z4BvAg0A18CTQmnz7o8D1ZlYLjCD/+siOjz0ruW37yuOBzqpw0CVZM/u4mdWYWU1DQwMbNmxg9erV1NfX09DQwPLly2lqamLx4sXkcjmqqqoAWLBgAQBVVVXkcjkWL17MtGnTWL58OQ0NDdTX17N69Wo2bNhAbW0t27ZtY+nSpbS0tOxdqm5/MW375+rqapqbm1m2bBmNjY3U1dWxbt061q1bR11dHY2NjSxbtozm5maqq6sPeB8LFy6kpaWFpUuXsm3bNmpra3u1T01NTf1ynxobGwfcPvXnTuXl5QNun/prp23btg24fepJp+Zx44B9vwzKj8n/Kvn1zpNS26fp06dn6p+9yPs0fvz4AbdP/bXT5s2bB9w+9ddOo0ePHnD71F87zZo1q6j7dDARnuY6Fbjf3U/v5npfAza6+3912X4y8BN3Pze5PAlYAlzr7suSbeNJ6WmutbW1nH322Ud8e+k7ahGLesSR1RYLr7ucE5eu3fs01xcmtPHOOY38ZuRlvP3vf5rKTFltEZFaxKEWcahFHMVuEepprh1OpAP5p6uuOsj1xiWfpwBXArd32V4CfJ78mV0xs2OA+4HPth9IArj7ZmCHmZ2fvJbyw8A9fbxbBzR27NhiPIz0gFrEoh5xZLVF1z+lTtlUyuKNxzCybXsq80B2W0SkFnGoRRxqEUeUFmm9ZvLryVNenwIuAeYBmNkEM+v4btF3m9kzwH3A9e7e/hv+ajP7A/mD0E3Arcn2G4DpwE1mVpd8jEu+9zfkzwK7FlgH/KqA+7fXrl27ivEw0gNqEYt6xJHVFlPe/yFy5A8q974WYl15egOR3RYRqUUcahGHWsQRpcWgNB7U3d97kO2byJ9op/3ynINc79vAtw+w/SvAVw5ymxrgkE+lLYQ9e/YU+yHlINQiFvWII6stzrzw/Swe/zUmbN69d1tbSbov/chqi4jUIg61iEMt4ojSIrWzuWbFqFGj0h5BEmoRi3rEkeUWb5zS+WTgr4yBPeXHpjRNtltEoxZxqEUcahFHlBY6mCywjRs3dn8lKQq1iEU94shyi6mVbwf2vX5y+cRB/HJEaWrzZLlFNGoRh1rEoRZxRGmhg8kCO/XUU9MeQRJqEYt6xJHlFse+uAPY95rJOfXOE7t/T+2GdE7Ck+UW0ahFHGoRh1rEEaWFDiYL7Iknnkh7BEmoRSzqEYda7DNzI/zxU80seuDeVB5fLeJQizjUIg61iCNKi9TfZzK63r7PZC6Xo6REx+wRqEUs6hFHllvsXLGC56/+IAZ7329yy3FtDLpoGm+9aVHR58lyi2jUIg61iEMt4ih2i1DvM5kl996bzl+3ZX9qEYt6xJHlFkPPOottE4d32tZaClPYlMo8WW4RjVrEoRZxqEUcUVpoZbIbvV2ZFBGR2O677nJOWrp278rkulmtnPiWU5l1431pjyYiIhKCViZTsmDBgrRHkIRaxKIecWS9RfnM04B9Z3QtP6aFpqFTU5kl6y0iUYs41CIOtYgjSgutTHZDK5MiIgPbwusu58QOK5ObJrTy9jkvs/ayX3DqORelPZ6IiEjqtDKZkqqqqrRHkIRaxKIecWS9Rdc/qU7YNIhnNgyn9eH/KPosWW8RiVrEoRZxqEUcUVpoZbIbOpvrwKEWsahHHFlv8eSSn1P6/75ICfvO6LpjRBvj55Yx5ab6os6S9RaRqEUcahGHWsShs7lmxJIlS9IeQRJqEYt6xJH1Fmde+H6en1bWaduIHSW8+oeyg9yicLLeIhK1iEMt4lCLOKK00MFkgZ1zzjlpjyAJtYhFPeJQC1j5vgqc/KqkJdtymwYVfQ61iEMt4lCLONQijigtdDBZYKtWrUp7BEmoRSzqEYdawIw5l/HIzPzX7S/+GDxpTNHnUIs41CIOtYhDLeKI0kIHkwU2adKktEeQhFrEoh5xqAU0tTSxuyy/Jtn+v680rYYXf1fUOdQiDrWIQy3iUIs4orTQwWSBbd++Pe0RJKEWsahHHGoBlcdVMrK58wnpXtozmO0P/ktR51CLONQiDrWIQy3iiNJCB5MFNnjw4LRHkIRaxKIecajFwe3c9IeiPp5axKEWcahFHGoRR5QWOpgssPLy8rRHkIRaxKIecagF1DTu/xZQY9pyvJwbVtQ51CIOtYhDLeJQiziitNDBZIFt3bo17REkoRaxqEccapF/muuOYZ1/JTYPg8ajphV1DrWIQy3iUIs41CKOKC10MFlg06ZNS3sESahFLOoRh1pAxbgKWk+eAuw7m+uOo6B5RxO1G4r3uhS1iEMt4lCLONQijigtdDBZYCtXrkx7BEmoRSzqEYda5I3eNYgc+95n8ozfl/In23/H0/d9u2gzqEUcahGHWsShFnFEaWHu3v21MqyystJravZ/LU1PtbS0UFZW1ocTyZFSi1jUIw61yPvebZ/gbV99kFLyB5QOtE3eTemc0cz8wpH/HjgcahGHWsShFnGoRRzFbmFmte5e2XW7ViYLbNGiRWmPIAm1iEU94lCLvLe+86NsG9l5W/Prgyi3tqLNoBZxqEUcahGHWsQRpYVWJrvR25VJERHpP+7/07M54fmde1cmX5jQxsUXvEzpXz4Ak89NezwREZFUaGUyJfPnz097BEmoRSzqEYda7PPK8UM6XW4aUgLkYP0jRXl8tYhDLeJQizjUIo4oLbQy2Q2tTIqIZMfCe77FlM/ewqBc/nKbwYbLXuf82Rcy9sP/l+5wIiIiKdHKZEqi/NVA1CIa9YhDLfa57Iq/Z8Pk/AkNDCh12P30UEY/dw+8+LuCP75axKEWcahFHGoRR5QWWpnshlYmRUSy5eG3ncXYxl17Xze5dVSOOe98Cau8Fi77j7THExERKTqtTKakuro67REkoRaxqEccatFZy4jyTpdbS5M/ur7+csEfWy3iUIs41CIOtYgjSgsdTBbYnDlz0h5BEmoRi3rEoRadvTFpbKfL47aV8lTT0KI8tlrEoRZxqEUcahFHlBY6mCywurq6tEeQhFrEoh5xqEVnU97/Idos/xRXA3DYtG1IN7fqG2oRh1rEoRZxqEUcUVroYLLApk+fnvYIklCLWNQjDrXo7MwL388zF80C8geUJcCgwW28srOl4I+tFnGoRRxqEYdaxBGlhQ4mC2zz5s1pjyAJtYhFPeJQi/2N3voqkKxMAmwqY/vWLQV/XLWIQy3iUIs41CKOKC10MFlgI0aMSHsESahFLOoRh1rsb+jm7Z0uj9xqTNv5ZMHfHkQt4lCLONQiDrWII0oLHUyKiIh08epxwzpdHr6jhN1bB8GTP0tpIhERkXh0MFlgO3bsSHsESahFLOoRh1rs78mLTyDHvpPwGMa61SN5ZUtDQR9XLeJQizjUIg61iCNKCx1MFtj48ePTHkESahGLesShFvtrnXUSm8Z03ta0exANewr7tCK1iEMt4lCLONQijigtdDBZYGvXrk17BEmoRSzqEYda7G/uSXOpnZ4//Y4n27Ye4+wcPaugj6sWcahFHGoRh1rEEaWFDiYLrKKiIu0RJKEWsahHHGqxv4pxFYwaO3Hfe00C09eUctTy+wv7uGoRhlrEoRZxqEUcUVroYLLAHnnkkbRHkIRaxKIecajFgb1y2gRytu91kyUO455Zy6onFhfsMdUiDrWIQy3iUIs4orQwd+/+WhlWWVnpNTU1aY8hIiJFNm/JPOZ8bREzN+YPJh1n6NjdvPT+OZz/iR+nPZ6IiEjRmFmtu1d23Z7KyqSZfdnMnjKzOjNbZGYTDnK9eWZWb2ZPm9knO2w/08weM7OVZnafmY1Mtl9sZrXJ9lozu7DDbZaa2erkMevMbFzh9xTmz59fjIeRHlCLWNQjDrU4sDFDxrBjSMctxs5tR1H+wsaCPaZaxKEWcahFHGoRR5QWqaxMmtlId38t+foTwEx3v67LdU4H7gDOBVqAauBv3H2NmT0BfMrdf2NmHwVOcPebzOwsoNHdNyW3f8DdJyb3tzS5zWEtM2plUkQkm+q21PHwvGu4aEVu7+smHWf3WaM46/bHUp1NRESkmEKtTLYfSCaGse9keR2dBjzu7jvdvRX4DfCe5HunAA8nXz8IvDe53xXuvinZ/jRQbmZH9fX8hyPKXw1ELaJRjzjU4sAqxlUwfO5ltCWvm2z/RXXcGxtZVH1vQR5TLeJQizjUIg61iCNKi9ReM2lmXwU+DDQB73D3l7t8/zTgHuCPgDeAh4Aad/9bM3sU+Ia732NmNwJfcvcRXW7/PuA6d78oubwUGAO0AXcDX/Ee7LxWJkVEsmveknlU/Psizluz73WTBmz60xn88b/fl/Z4IiIiRVH0lUkzW5y83rHrxxUA7v45d58M/BS4oevt3f1Z4BvkVx6rgSeB1uTbHwWuN7NaYAT5p8F2fOxZyW3/usPma9x9NjAn+fjQIWb/uJnVmFlNQ0MDGzZsYPXq1dTX19PQ0MDy5ctpampi8eLF5HI5qqqqAFiwYAEAVVVV5HI5Fi9ezPz581m+fDkNDQ3U19ezevVqNmzYQG1tLdu2bWPp0qW0tLSwcOFCYN9fGdo/V1dX09zczLJly2hsbKSuro5169axbt066urqaGxsZNmyZTQ3N1NdXX3A+1i4cCEtLS0sXbqUbdu2UVtb26t9ampq6pf79L3vfW/A7VN/7vTjH/94wO1Tf+30n//5nwNun/qq0/qm9TQNa3+SK1jyhNcxazYVZJ8WLFiQqX/2Iu/TXXfdNeD2qb92+u53vzvg9qm/drr99tsH3D7110733XdfUffpYFI/m6uZTQXud/fTu7ne14CN7v5fXbafDPzE3c9NLk8ClgDXuvsB99zMPgJUuvt+B7Fd9XZlsqWlhbKysiO+vfQdtYhFPeJQi4Obt2QeLz72EDff1kYJ+1YnWyYNpWLx7/v88dQiDrWIQy3iUIs4it0i1GsmzWxGh4tzgVUHud645PMU4Erg9i7bS4DPA99PLh8D3A98tuOBpJkNMrOxydeDgcuA+r7dqwN79NFHi/Ew0gNqEYt6xKEWB3ft6deydlIJqyZ13t6ay/Gz5S/0+eOpRRxqEYdaxKEWcURpkcrBJPD15CmvTwGXAPMAzGyCmf2yw/XuNrNngPuA6919e7L9ajP7A/mD0E3Arcn2G4DpwE1d3gLkKOCB5PHqgAbgfwu8jwDMnj27GA8jPaAWsahHHGpxcBXjKnjTuDexcax12l7SkuNX9Zv7/PHUIg61iEMt4lCLOKK0SOtsru9199Pd/Qx3v9zdG5Ltm9z90g7Xm+PuM939THd/qMP2b7v7ycnHZ9pPpOPuX3H3Ye5e0eFji7s3u/vZyePNcvd57t5WjH1dv359MR5GekAtYlGPONTi0E485kQenl2y96yuYJRvbeHi2p/1+WOpRRxqEYdaxKEWcURpkdbKZGaMHTs27REkoRaxqEccanFoc0+ay7pJxqbR+cvta5SzH1/S5091VYs41CIOtYhDLeKI0kIHkwW2a9eutEeQhFrEoh5xqMWhVYyr4KyjZ7B5dOftR+1s5blbf9Knj6UWcahFHGoRh1rEEaWFDiYLbM+ePWmPIAm1iEU94lCL7h09cjL3nl+Kk3+qq2EYzsX1C/v0cdQiDrWIQy3iUIs4orTQwWSBjRo1Ku0RJKEWsahHHGrRvTFDxrBmkrH+2H3bHBhZ0tSnj6MWcahFHGoRh1rEEaWFDiYLbOPGjWmPIAm1iEU94lCL7s09aS6GsWZi57O65sYM79PHUYs41CIOtYhDLeKI0kIHkwV26qmnpj2CJNQiFvWIQy26VzGugktPuJTnj88fTHqyvWnccX36OGoRh1rEoRZxqEUcUVroYLLAnnjiibRHkIRaxKIecahFzwwbPIwTX2p/c5C8qS/Wsaj63j57DLWIQy3iUIs41CKOKC0seYtGOYjKykqvqak54tvncjlKSnTMHoFaxKIecahFz8xbMo+Kf1/EeWvyB5OOc9TRLTTOncGbP/dAnzyGWsShFnGoRRxqEUexW5hZrbtXdt2ufxoK7N57++4v1tI7ahGLesShFj3XNKzzayZbmsqY/OzaPrt/tYhDLeJQizjUIo4oLbQy2Y3erkyKiMjAcPNjN1O35OfcfFsbJXRYnRyxh9Kv3si0S65Pe0QREZGC0MpkShYsWJD2CJJQi1jUIw616Jm5J81l7aQSVk3qvL1lx2B2P3hnnzyGWsShFnGoRRxqEUeUFlqZ7IZWJkVEpN1nHv4Mf3hkYafVSXD2HD+UM5b+Pt3hRERECkQrkympqqpKewRJqEUs6hGHWvTc9FHTWTPJqJmx77WTDgx+aSeNX/hUr+9fLeJQizjUIg61iCNKC61MdkNncx041CIW9YhDLXqubksdf/Grv+CkjW37vXbSMKbe/jOGnnXWEd+/WsShFnGoRRxqEYfO5poRS5YsSXsESahFLOoRh1r0XMW4Cv5i1l+wZpJx73n5bQ5Ycki57Xvf7NX9q0UcahGHWsShFnFEaaGVyW70dmWyqamJo48+ug8nkiOlFrGoRxxqcfjeNf9dvPDaC3z/O62M2rnvtZNl44Zx0sO1R3y/ahGHWsShFnGoRRzFbqGVyZSsWrUq7REkoRaxqEccanH4zht/Hhismdj5fSdLy9p6db9qEYdaxKEWcahFHFFa6GCywCZNmtT9laQo1CIW9YhDLQ7f3JPmUkop955fQpvln+rqwBsbd7HzgZ8d8f2qRRxqEYdaxKEWcURpoYPJAtu+fXvaI0hCLWJRjzjU4vBVjKugYlwFayYaqybmt1nyZNcXPvt1tt95ZO87qRZxqEUcahGHWsQRpYUOJgts8ODBaY8gCbWIRT3iUIsjs333djDo+sxW37mHl774z0d0QKkWcahFHGoRh1rEEaWFDiYLrLy8PO0RJKEWsahHHGpxZKaNnAbAkjPzv0rbn+ra7tVf3H3Y96kWcahFHGoRh1rEEaWFDiYLbOvWrWmPIAm1iEU94lCLI3Pt6ddiGEsqSvj//qSE14+Cfed1BTvqqMO+T7WIQy3iUIs41CKOKC10MFlg06ZNS3sESahFLOoRh1ocmYpxFbxj8jvAYMlZJTx62r4zuxpO6VG5w75PtYhDLeJQizjUIo4oLXQwWWArV65MewRJqEUs6hGHWhy5a0+/lpLkV+nzx+e3efJk19cf/T07V6w4rPtTizjUIg61iEMt4ojSwty9+2tlWGVlpdfU1Bzx7VtaWigrK+vDieRIqUUs6hGHWvTO1fdfTf3Wet79aI4/+02u019ph1RWMu0nt/X4vtQiDrWIQy3iUIs4it3CzGrdvbLrdq1MFtiiRYvSHkESahGLesShFr1z5fQrAXh6ipGzfSfhcZw3amoO66yuahGHWsShFnGoRRxRWmhlshu9XZkUEZGB799q/o1bn76VC1e08fFqx9h3Kp6yCWM4acmydAcUERHpBa1MpmT+/PlpjyAJtYhFPeJQi967sfJGThl1CksqSnl2UufvtWx+pcevnVSLONQiDrWIQy3iiNJCK5Pd0MqkiIj0xM2P3cxdf7iLGRudm3/SRom3r07CsX/3d4z964+nOp+IiMiR0spkSqL81UDUIhr1iEMt+sbck+ZSQglrJhm/PS2/LX9mV2fTvT173aRaxKEWcahFHGoRR5QWWpnshlYmRUSkp+YtmceSF5fwT3e0cebz+ddOOvnPx3/pS4z6wAfSHlFEROSwaWUyJdXV1WmPIAm1iEU94lCLvnPt6dcC8Pgp7affAcNwYMt3v9nt7dUiDrWIQy3iUIs4orTQymQ3ersy2dzczLBhw/pwIjlSahGLesShFn3rI7/6CLVbavn6D1o5YQvJ6mR+hfKEb3+Boe/84EFvqxZxqEUcahGHWsRR7BZamUxJXV1d2iNIQi1iUY841KJvffLsT1JiJfzgnaXkaF+dzK9QLv+/7xzytmoRh1rEoRZxqEUcUVroYLLApk+fnvYIklCLWNQjDrXoWxXjKvj8eZ9nzaQSVnV5m5DWF5oOeVu1iEMt4lCLONQijigtdDBZYJs3b057BEmoRSzqEYda9L2rTrmK2/70x2wfPajT9olbYcE1Z8CLvzvg7dQiDrWIQy3iUIs4orTQwWSBjRgxIu0RJKEWsahHHGpRGBXjKnjruz+BJ28Q0v6ekyfX7uGpT14FD35xv9uoRRxqEYdaxKEWcURpoYNJERGRAjntgx9j1dmjgY6vnYRBTw9h4zdvPeABpYiISH+hg8kC27FjR9ojSEItYlGPONSisKZ97X4eqByUnNF13wrljg1Deek/f9DpKa9qEYdaxKEWcahFHFFa6GCywMaPH5/2CJJQi1jUIw61KKyzp47i+Q/P5Z7z9n/vye2rhrP9m3+397pqEYdaxKEWcahFHFFapHIwaWZfNrOnzKzOzBaZ2YSDXG+emdWb2dNm9skO2880s8fMbKWZ3WdmI5Pt5yb3WWdmT5rZezrc5uzk+mvN7C5FBDoAABQeSURBVDtmZgd6zL62du3aYjyM9IBaxKIecahF4X204iruvHAwD8/MX+54QPnSA9vY+T/XA2oRiVrEoRZxqEUcUVqYuxf/Qc1GuvtrydefAGa6+3VdrnM6cAdwLtACVAN/4+5rzOwJ4FPu/hsz+yhwgrvfZGZDgRZ3bzWz8cCTwITk8u+AecDjwC+B77j7r7qbtbKy0mtqao54X/XmrnGoRSzqEYdaFMe8JfNY8uISvnhbKzM37nu6KzjlY1s44fY7aB49Sy2C0M9FHGoRh1rEUewWZlbr7pVdt6eyMtl+IJkYRv6PtF2dBjzu7jvdvRX4DdC+0ngK8HDy9YPAe5P7bb8uQHn7/SYHliPd/THPHz3/GHh3H+7SQT3yyCPFeBjpAbWIRT3iUIviuPb0aymhhJ+9o5Sc7fvF58AbW8v4w59fy/If35bmiNKBfi7iUIs41CKOKC1SWZkEMLOvAh8GmoB3uPvLXb5/GnAP8EfAG8BDQI27/62ZPQp8w93vMbMbgS+5+4jkducBPwSmAh9y9wVmVgl83d0vSq4zB/hHd7+suzl7uzIpIiLS7q7Vd3Hz4zdz4YocH6/O7T27a/43cf7Jr2P+6i857lOfSnNMERGRToq+Mmlmi5PXO3b9uALA3T/n7pOBnwI3dL29uz8LfIP8ymM1+aestq86fhS43sxqgRHknwbbfrvl7j4LOAf4rJmV0/HZRB0e4hCzf9zMasyspqGhgQ0bNrB69Wrq6+tpaGhg+fLlNDU1sXjxYnK5HFVVVQAsWLAAgKqqKnK5HIsXL+aOO+5g+fLlNDQ0UF9fz+rVq9mwYQO1tbVs27aNpUuX0tLSwsKFCwGYP39+p8/V1dU0NzezbNkyGhsbqaurY926daxbt466ujoaGxtZtmwZzc3NVFdXH/A+Fi5cSEtLC0uXLmXbtm3U1tb2ap+ampr65T59+9vfHnD71J87/fCHPxxw+9RfO333u98dcPsUtdOErRP4wLQPsOSski4n5Mm/hhKcbbf8gO133tlv9mkgdlq2bBk/+9nPBtw+9ddO7b+/B9I+9ddOt91224Dbp/7a6e677y7qPh1MaiuTewcwmwrc7+6nd3O9rwEb3f2/umw/GfiJu597gNv8GvgHoAH4tbufmmy/Gni7u/91d/NpZVJERPrav9X8G7c+fStXL2njiuW+9y+e7YeXrWOPYfZvH09vQBERkQ5CvWbSzGZ0uDgXWHWQ641LPk8BrgRu77K9BPg88P3k8glmNij5eir511aud/fNwA4zOz85i+uHyT+FtuDaj/olfWoRi3rEoRbFd2PljXzh/C9w+4Wl3PShUp6ZlN/e/l6Ug7a+St0V70hzxMzTz0UcahGHWsQRpUVaZ3O9m/yBXg7YAFzn7g3JW4Tc4u6XJtd7BBgD7AFudPeHku3zgOuTu5sPfNbd3cw+BHwmuX4OuNndq5LbVAI/AoYAvwL+1nuw81qZFBGRQrlr9V18+fEv4+58639bmbSt/TWUyWrlcYOZ+k+fZeg7P5jypCIikmWhVibd/b3ufrq7n+Hul7t7Q7J9U/uBZHJ5jrvPdPcz2w8kk+3fdveTk4/PtB8Uuvtt7j7L3Svc/U3tB5LJ92qSxzzJ3W/oyYFkX2h/frKkTy1iUY841CI9V51yFTedfxMY3H9Ox9dQ5t+DksY9bJh3M2svmM32f/nkoe5K+ph+LuJQizjUIo4oLVJ/zWR0vV2ZbGlpoaysrA8nkiOlFrGoRxxqkb7211Bef08rFzyT39b+Osq9q5RA2zGlNI+ZwJhBbzBs1BDKZ85i1zNP07pjN4NOOJ2jr/kYQ886K41dGHD0cxGHWsShFnEUu0WolcksefTRR9MeQRJqEYt6xKEW6bux8kbedcK7+M8rBlF1nu197WRe+xuIQOmrbYxc9yJ7Vm/l1cdf5KUfVvPq4y/y+tNbeHXhEjZ88IM0fvOb6ezEAKOfizjUIg61iCNKCx1MFtjs2bPTHkESahGLesShFjF8/YKvc/GEi7n9wlL+509KyFn+xf/QfmBp+3103e7uvJK8tYj0jn4u4lCLONQijigtdDBZYOvXr097BEmoRSzqEYdaxHHN6Gu4dta1LDmrhC/8eSl3vK2Eh2fuO8tr14/2A8r2j/xrLZ2X7rojpT0YOPRzEYdaxKEWcURpMSjtAQa6sWPHpj2CJNQiFvWIQy3iGDt2LDdOvZHJIybzlce/wppJOaCERWc7b1uZY2Tzvie/Ng0znj/eOPEl56QG58SX9x1grp/Uxmkp7cNAoZ+LONQiDrWII0oLHUwW2K5du9IeQRJqEYt6xKEWcbS3uOqUq5gxaga31t/K0heXsmZSjjWTSvNX6nDePAeWJF9fWNfG+avhd6fAuHfO5E+LOvnAo5+LONQiDrWII0oLHUwW2J49e9IeQRJqEYt6xKEWcXRsUTGugm9f+G3qttRx37r72PrG1r3fe3VnC6/s3MPooYOx0jdY88qLLKl4mV9XOINLBvODs/8sjfEHFP1cxKEWcahFHFFa6GCywEaNGpX2CJJQi1jUIw61iONALSrGVVAxrqLb29ZtqaOmsYbK4yp7dH05NP1cxKEWcahFHFFa6AQ8BbZx48a0R5CEWsSiHnGoRRy9aVExroK/mv1XOpDsI/q5iEMt4lCLOKK00MFkgZ166qlpjyAJtYhFPeJQizjUIg61iEMt4lCLOKK00MFkgT3xxBNpjyAJtYhFPeJQizjUIg61iEMt4lCLOKK0MHfv/loZVllZ6TU1NUd8+1wuR0mJjtkjUItY1CMOtYhDLeJQizjUIg61iKPYLcys1t0ru27XPw0Fdu+996Y9giTUIhb1iEMt4lCLONQiDrWIQy3iiNJCK5Pd6O3KpIiIiIiISH+mlcmULFiwIO0RJKEWsahHHGoRh1rEoRZxqEUcahFHlBZameyGViZFRERERCTLtDKZkqqqqrRHkIRaxKIecahFHGoRh1rEoRZxqEUcUVpoZbIbOpvrwKEWsahHHGoRh1rEoRZxqEUcahGHzuaaEUuWLEl7BEmoRSzqEYdaxKEWcahFHGoRh1rEEaWFVia70duVyaamJo4++ug+nEiOlFrEoh5xqEUcahGHWsShFnGoRRzFbqGVyZSsWrUq7REkoRaxqEccahGHWsShFnGoRRxqEUeUFjqYLLBJkyalPYIk1CIW9YhDLeJQizjUIg61iEMt4ojSQgeTBbZ9+/a0R5CEWsSiHnGoRRxqEYdaxKEWcahFHFFa6GCywAYPHpz2CJJQi1jUIw61iEMt4lCLONQiDrWII0oLHUwWWHl5edojSEItYlGPONQiDrWIQy3iUIs41CKOKC10NtdumNnLwIZe3MVYYGsfjSO9oxaxqEccahGHWsShFnGoRRxqEUexW0x192O7btTBZIGZWc2BTqMrxacWsahHHGoRh1rEoRZxqEUcahFHlBZ6mquIiIiIiIgcNh1MioiIiIiIyGHTwWTh/U/aA8heahGLesShFnGoRRxqEYdaxKEWcYRooddMioiIiIiIyGHTyqSIiIiIiIgcNh1MdsPMfmhmW8ys/hDXebuZ1ZnZ02b2mw7b/y7ZVm9mt5tZebL9y2b2VHKbRWY2IdleZma3mtlKM3vSzN5e8B3sRwrRosP3P2VmbmZjO2z7rJmtNbPVZvbOwuxV/1TMFmY2xsx+bWavm9n3CrdX/VORW1xsZrXJv6NqzezCwu1Z/1PkFucm91OX/L54T+H2rP8p9u+LZPuU5N9Tn+r7PerfivyzMc3M3ujw8/H9wu1Z/5PCf0udYWaPJbdb2fU2WVbkn4trOvxM1JlZzswq+mRH3F0fh/gALgDeBNQf5PvHAM8AU5LL45LPE4HngSHJ5Z8DH0m+Htnh9p8Avp98fT1wa/v9ALVASdr/H0T5KESL5PJk4AHy7yc6Ntk2E3gSOAo4AVgHlKb9/0GUjyK3GAa8FbgO+F7a+x7to8gtzgImJF+fDjSkvf+RPorcYigwKPl6PLCl/bI+ituiw/fuBu4CPpX2/kf7KPLPxrSDPY4+it5iEPAUcGZyeQz6b6lUWnS539nAc321H1qZ7Ia7Pwy8coirfBCY7+4vJNff0uF7g4AhZjaI/C/+Tcl1XutwnWFA+wtXZwIPdbifV4HU3z8mikK0SPw78Gn2dQC4ArjD3Xe7+/PAWuDc3u/FwFDMFu7e7O6/BXb10fgDSpFbrHD39us8DZSb2VG934uBocgtdrp7a3KxnM7//sq8Iv++wMzeDTxH/udCuih2Dzm4Ire4BHjK3Z9M7mubu7f1fi8GhhR/Lq4Gbj/SubvSwWTvnQyMMrOlydO+Pgzg7g3AN4EXgM1Ak7svar+RmX3VzF4ErgG+kGx+ErjCzAaZ2QnA2eT/uiA9c9gtzGwu+dWVJ7vc10TgxQ6XNybbpGf6soX0TqFavBdY4e67Czv+gNKnLczsPDN7GlgJXNfh4FK612ctzGwY8I/Al4q5AwNMX/976gQzW2FmvzGzOUXah4GiL1ucDLiZPWBmvzezTxdvNwaEQv3+/gB9eDA5qK/uKMMGkT/o+2NgCPCYmT0OvEx+desE8iuMd5nZn7v7TwDc/XPA58zss8ANwBeBHwKnATXkl6YfBfQfBz13WC2A+cDnyP/lrCs7wDb95bPn+rKF9E6ftzCzWcA3DnUdOaA+beHuy4FZZnYa8H9m9it31wp+z/Rliy8B/+7ur5sd6FeH9EBf9thM/mmB28zsbKDKzGZ1eVaYHFxfthhE/mUq5wA7gYfMrNbdHyr4XgwMhfj9fR6w090P+jrNIxlSemcjsNXdm4FmM3sYODP53vPu/jKAmc0H3gz8pMvtfwbcD3wx+avy37V/w8weBdYUeP6B5HBbPEn+B/HJ5D8AJgG/N7Nzk/vquCo8ic5PIZBD67MW7v5S0acfWPq0hZlNAhYAH3b3dUXel/6uID8X7v6smTWTfx1rTdH2pn/ry98X5wHvM7N/If8ap5yZ7XJ3nTCs5/r6Z2M3gLvXmtk68is8+tnomb7+b6nfuPvW5Da/JP8aQR1M9kwhfmf8GX24Kgl6mmtfuAeYkzw1dSj5XyrPkl96Pt/Mhlq+6B8n2zGzGR1uPxdYlWwfmjxdBjO7GGh192eKtyv93mG1cPeV7j7O3ae5+zTyP7RvSn7g7gX+zMyOsvxTjmcAv0tjp/qpvmwhvdNnLczsGPJ//Pqsuy9LZ3f6tb5scYLlXyuDmU0FTgHWp7BP/VWftXD3OR22/wfwNR1IHra+/Nk41sxKAczsRPK/v59LY6f6qb78/f0AcEZym0HA28ifUEZ6pk//W8rMSoCrgDv6ckitTHbDzG4H3g6MNbON5J+OOhjA3b+f/EW4mvzZqnLALe1Lx2b2C+D35J+qugL4n+Ruv25mpyTX30D+LJWQP4PrA2aWAxqADxV+D/uPArU4IHd/2sx+Tv5feq3A9a4Xje9VzBbJbdYDI4Eyy5/o4hL9oSWvyC1uAKYDN5nZTcm2S7zzSQEyq8gt3gp8xsz2JPf1/9r/+i/F/3eUHFqRe1wA3GxmrUAb+dcTH+okJ5lS5P+W2m5m/wY8Qf6lQr909/sLsmP9UAr/nroA2OjuffrHFXPXy8BE5P9v735CrKzCOI5/f5pkYmRRK4m0ICE0LaNFZBi1iArcWCjtksCKCQQRWxTSpoJAopLQ6I8VaVkIEkRQSoRRIplOES2qRasItBJLQZ4W7zs0DOnct7mTevt+YLj3nnPec94zm3uf9zzveyRJkqRuTHOVJEmSJHVmMClJkiRJ6sxgUpIkSZLUmcGkJEmSJKkzg0lJkiRJGkBJXk7yc5LhHtpuTHKg/fsuyZFxj/FprpIk9U+Sk8ChUUXbquqpjn0sBU5U1d7282rgWFVt7duJSpIGXpJbgKPA1qqa3+G4IeC6qrr/dO3cZ1KSpP76o6oWTbCPpTRf/nuh2XNsoiclSfr/qapPkswZXZbkKuAF4DLgGPBAVX075tCVNHtfnpZprpIk/QeSPJ5kX5LhJJuTpC1/JMk3SQ4m2dZ+6a8G1rSpRkuSbEiytm2/J8nTSb5o05CWtOUzkrzd9rM9yedJbkgyNcmr7biHkqw5U/8DSdJZYTMwVFWLgbXAptGVSa4A5gIfj9eRK5OSJPXXBUkOjPr8ZFVtB56vqicAkrwO3A3sAtYDc6vqeJJZVXUkyYvA0ap6pm1/25gxzquqG5PcSXPl+HbgIeBwVV2bZD4wcg6LgNkj6U1JZk3KrCVJZ70kM4GbgHfaa5oA549ptgLYUVUnx+vPYFKSpP46VZrrrUnWATOAS4CvaYLJg8CbSXYCO3sc4732dT8wp31/M/AsQFUNJznYln8PXJnkOeB94MNu05EkDZApwJFxbsdYATzca2eSJGkSJZlOk0a0vKoWAFuA6W31XTT3riwG9ifp5ULv8fb1JH9fGM4/Nayqw8BCYA/Nj4OX/sUUJEkDoKp+A35Icg9AGgtH6pPMAy4GPuulP4NJSZIm30jg+EubYrQcIMkU4PKq2g2sA2YBM4HfgQs7jvEpcG/b7zXAgvb9pcCUqnoXeAy4fmJTkSSdK5K8RRMYzkvyU5JVwH3AqiRf0WTJLBt1yEqap5D3tOWHaa6SJPXX2HsmP6iq9Um20GwZ8iOwr62bCryR5CKalcWN7T2Tu4AdSZYBQz2Ouwl4rU1v/ZImffZXYDbwShu4Ajw6gblJks4hVbXyFFV3nKL9hi79u8+kJEkDIMlUYFpV/dk+9v0j4OqqOnGGT02SNKBcmZQkaTDMAHYnmUazyvmggaQkaTK5MilJkiRJ6swH8EiSJEmSOjOYlCRJkiR1ZjApSZIkSerMYFKSJEmS1JnBpCRJkiSpM4NJSZIkSVJnfwHIM5tMU+czhwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=[15,8])\n",
    "plt.axis('equal')\n",
    "plt.xlabel('Eastings')\n",
    "plt.ylabel('Northings')\n",
    "plt.grid(linestyle=':', color='0.5')\n",
    "for i in range(len(output['shorelines'])):\n",
    "    sl = output['shorelines'][i]\n",
    "    date = output['dates'][i]\n",
    "    plt.plot(sl[:,0], sl[:,1], '.', label=date.strftime('%d-%m-%Y'))\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Shoreline analysis\n",
    "\n",
    "In this section we show how to compute time-series of cross-shore distance along user-defined shore-normal transects."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**If you have already mapped the shorelines**, just load the output file (`output.pkl`) by running the section below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "filepath = os.path.join(inputs['filepath'], sitename)\n",
    "with open(os.path.join(filepath, sitename + '_output' + '.pkl'), 'rb') as f:\n",
    "    output = pickle.load(f) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 3 options to define the coordinates of the shore-normal transects:\n",
    "\n",
    "**Option 1**: the user can interactively draw the shore-normal transects along the beach by calling:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib qt\n",
    "transects = SDS_transects.draw_transects(output, settings)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Option 2**: the user can load the transect coordinates (make sure the spatial reference system is the same as defined previously by the parameter *output_epsg*) from a .geojson file by calling:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "geojson_file = os.path.join(os.getcwd(), 'examples', 'NARRA_transects.geojson')\n",
    "transects = SDS_tools.transects_from_geojson(geojson_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Option 3**: manually provide the coordinates of the transects as shown in the example below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "transects = dict([])\n",
    "transects['NA1'] = np.array([[16843142, -3989358], [16843457, -3989535]])\n",
    "transects['NA2'] = np.array([[16842958, -3989834], [16843286, -3989983]])\n",
    "transects['NA3'] = np.array([[16842602, -3990878], [16842955, -3990949]])\n",
    "transects['NA4'] = np.array([[16842596, -3991929], [16842955, -3991895]])\n",
    "transects['NA5'] = np.array([[16842838, -3992900], [16843155, -3992727]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the location of the transects, make sure they are in the right location with the origin always landwards!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=[15,8], tight_layout=True)\n",
    "plt.axis('equal')\n",
    "plt.xlabel('Eastings')\n",
    "plt.ylabel('Northings')\n",
    "plt.grid(linestyle=':', color='0.5')\n",
    "for i in range(len(output['shorelines'])):\n",
    "    sl = output['shorelines'][i]\n",
    "    date = output['dates'][i]\n",
    "    plt.plot(sl[:,0], sl[:,1], '.', label=date.strftime('%d-%m-%Y'))\n",
    "for i,key in enumerate(list(transects.keys())):\n",
    "    plt.plot(transects[key][0,0],transects[key][0,1], 'bo', ms=5)\n",
    "    plt.plot(transects[key][:,0],transects[key][:,1],'k-',lw=1)\n",
    "    plt.text(transects[key][0,0]-100, transects[key][0,1]+100, key,\n",
    "                va='center', ha='right', bbox=dict(boxstyle=\"square\", ec='k',fc='w'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, intersect the transects with the 2D shorelines to obtain time-series of cross-shore distance.\n",
    "\n",
    "The time-series of shoreline change for each transect are saved in a .csv file in the data folder (all dates are in UTC time). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time-series of the shoreline change along the transects saved as:\n",
      "C:\\Users\\z5030440\\OneDrive - UNSW\\CoastSat\\data\\NARRA\\transect_time_series.csv\n"
     ]
    }
   ],
   "source": [
    "# defines the along-shore distance over which to consider shoreline points to compute the median intersection (robust to outliers)\n",
    "settings['along_dist'] = 25 \n",
    "cross_distance = SDS_transects.compute_intersection(output, transects, settings) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the time-series of shoreline change along each transect"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=[15,8], tight_layout=True)\n",
    "gs = gridspec.GridSpec(len(cross_distance),1)\n",
    "gs.update(left=0.05, right=0.95, bottom=0.05, top=0.95, hspace=0.05)\n",
    "for i,key in enumerate(cross_distance.keys()):\n",
    "    if np.all(np.isnan(cross_distance[key])):\n",
    "        continue\n",
    "    ax = fig.add_subplot(gs[i,0])\n",
    "    ax.grid(linestyle=':', color='0.5')\n",
    "    ax.set_ylim([-50,50])\n",
    "    ax.plot(output['dates'], cross_distance[key]- np.nanmedian(cross_distance[key]), '-o', ms=6, mfc='w')\n",
    "    ax.set_ylabel('distance [m]', fontsize=12)\n",
    "    ax.text(0.5,0.95, key, bbox=dict(boxstyle=\"square\", ec='k',fc='w'), ha='center',\n",
    "            va='top', transform=ax.transAxes, fontsize=14)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Tidal correction\n",
    "\n",
    "This last section shows how to tidally-correct the time-series of shoreline change using time-series of tide level and an estimate of the beach slope.\n",
    "\n",
    "For this example, measured water levels for Sydney are stored in a csv file located [here](https://github.com/kvos/CoastSat/blob/master/examples/NARRA_tides.csv). When using your own file make sure that the dates are in UTC time, as the CoastSat shorelines are also in UTC, and the datum for the water levels is approx. Mean Sea Level.\n",
    "\n",
    "We assume that the beach slope at Narrabeen-Collaroy is 0.1 along all transects.\n",
    "\n",
    "**Note**: if you don't have measured water levels and beach slope, it is possible to obtain an estimate of the beach slope and time-series of modelled tide levels at the time of image acquisition from the [FES2014](https://www.aviso.altimetry.fr/es/data/products/auxiliary-products/global-tide-fes/description-fes2014.html) global tide model by using the [CoastSat.slope](https://github.com/kvos/CoastSat.slope) repository (see [this publication](https://doi.org/10.1029/2020GL088365) for more details, open acess preprint [here](https://www.essoar.org/doi/10.1002/essoar.10502903.1)). Instructions on how to install the global tide model are available [here](https://github.com/kvos/CoastSat.slope/blob/master/doc/FES2014_installation.md)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting closest points: 100%"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# load the measured tide data\n",
    "filepath = os.path.join(os.getcwd(),'examples','NARRA_tides.csv')\n",
    "tide_data = pd.read_csv(filepath, parse_dates=['dates'])\n",
    "dates_ts = [_.to_pydatetime() for _ in tide_data['dates']]\n",
    "tides_ts = np.array(tide_data['tide'])\n",
    "\n",
    "# get tide levels corresponding to the time of image acquisition\n",
    "dates_sat = output['dates']\n",
    "tides_sat = SDS_tools.get_closest_datapoint(dates_sat, dates_ts, tides_ts)\n",
    "\n",
    "# plot the subsampled tide data\n",
    "fig, ax = plt.subplots(1,1,figsize=(15,4), tight_layout=True)\n",
    "ax.grid(which='major', linestyle=':', color='0.5')\n",
    "ax.plot(tide_data['dates'], tide_data['tide'], '-', color='0.6', label='all time-series')\n",
    "ax.plot(dates_sat, tides_sat, '-o', color='k', ms=6, mfc='w',lw=1, label='image acquisition')\n",
    "ax.set(ylabel='tide level [m]',xlim=[dates_sat[0],dates_sat[-1]], title='Water levels at the time of image acquisition');\n",
    "ax.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Apply tidal correction using a linear slope and a reference elevation to which project all the time-series of cross-shore change (to get time-series at Mean Sea Level, set `reference elevation` to 0. You also need an estimate of the beach slope. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tidally-corrected time-series of the shoreline change along the transects saved as:\n",
      "C:\\Users\\z5030440\\OneDrive - UNSW\\CoastSat\\data\\NARRA\\transect_time_series_tidally_corrected.csv\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# tidal correction along each transect\n",
    "reference_elevation = 0 # elevation at which you would like the shoreline time-series to be\n",
    "beach_slope = 0.1\n",
    "cross_distance_tidally_corrected = {}\n",
    "for key in cross_distance.keys():\n",
    "    correction = (tides_sat-reference_elevation)/beach_slope\n",
    "    cross_distance_tidally_corrected[key] = cross_distance[key] + correction\n",
    "    \n",
    "# store the tidally-corrected time-series in a .csv file\n",
    "out_dict = dict([])\n",
    "out_dict['dates'] = dates_sat\n",
    "for key in cross_distance_tidally_corrected.keys():\n",
    "    out_dict['Transect '+ key] = cross_distance_tidally_corrected[key]\n",
    "df = pd.DataFrame(out_dict)\n",
    "fn = os.path.join(settings['inputs']['filepath'],settings['inputs']['sitename'],\n",
    "                  'transect_time_series_tidally_corrected.csv')\n",
    "df.to_csv(fn, sep=',')\n",
    "print('Tidally-corrected time-series of the shoreline change along the transects saved as:\\n%s'%fn)\n",
    "\n",
    "# plot the time-series of shoreline change (both raw and tidally-corrected)\n",
    "fig = plt.figure(figsize=[15,8], tight_layout=True)\n",
    "gs = gridspec.GridSpec(len(cross_distance),1)\n",
    "gs.update(left=0.05, right=0.95, bottom=0.05, top=0.95, hspace=0.05)\n",
    "for i,key in enumerate(cross_distance.keys()):\n",
    "    if np.all(np.isnan(cross_distance[key])):\n",
    "        continue\n",
    "    ax = fig.add_subplot(gs[i,0])\n",
    "    ax.grid(linestyle=':', color='0.5')\n",
    "    ax.set_ylim([-50,50])\n",
    "    ax.plot(output['dates'], cross_distance[key]- np.nanmedian(cross_distance[key]), '-o', ms=6, mfc='w', label='raw')\n",
    "    ax.plot(output['dates'], cross_distance_tidally_corrected[key]- np.nanmedian(cross_distance[key]), '-o', ms=6, mfc='w', label='tidally-corrected')\n",
    "    ax.set_ylabel('distance [m]', fontsize=12)\n",
    "    ax.text(0.5,0.95, key, bbox=dict(boxstyle=\"square\", ec='k',fc='w'), ha='center',\n",
    "            va='top', transform=ax.transAxes, fontsize=14)\n",
    "ax.legend();"
   ]
  }
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