diff --git a/source/lessons/Raster/overview.rst b/source/lessons/Raster/overview.rst index 70d27e77a..080a02afd 100644 --- a/source/lessons/Raster/overview.rst +++ b/source/lessons/Raster/overview.rst @@ -1,6 +1,9 @@ Overview ======== +For the Python GIS course at CSC in March 2022, most of below lessons have been combined to a 'usecase' lesson about finding out how the trees of Seurasaari were doing in summer 2021, which can be found `here <../../notebooks/Raster/Raster_CSC/Seurasaari_trees.ipynb>`__ + + In this tutorial, you will learn how to conduct many basic raster processing operations using ``rasterio`` module. 1. :doc:`Downloading data automatically with Python ` @@ -12,5 +15,3 @@ In this tutorial, you will learn how to conduct many basic raster processing ope 7. `Zonal statistics <../../notebooks/Raster/zonal-statistics.ipynb>`__ 8. `Reading cloud optimized GeoTIFFs <../../notebooks/Raster/read-cogs.ipynb>`__ - - diff --git a/source/notebooks/Raster/Raster_CSC/Seurasaari_trees.ipynb b/source/notebooks/Raster/Raster_CSC/Seurasaari_trees.ipynb new file mode 100644 index 000000000..0eb15258f --- /dev/null +++ b/source/notebooks/Raster/Raster_CSC/Seurasaari_trees.ipynb @@ -0,0 +1,1999 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Working with Raster data in Python\n", + "\n", + "## Learning Objectives\n", + "\n", + " * read spatial raster formats from web services and files\n", + " * write spatial raster formats to disk\n", + " * apply basic operations on raster data\n", + " * plot spatial raster data with matplotlib and rasterio\n", + " * work with categorical rasters\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Raster data\n", + "\n", + "Raster data is stored as a grid of values which are rendered as pixels on a map. Each pixel value represents an area on the Earth’s surface.\n", + "Digital photographs are also a raster. A geospatial raster includes spatial information that connects the data to a particular location on Earth. \n", + "\n", + "![](./img/raster-concept.png)\n", + "Source: Colin Williams, NEON" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## All good with Seurasaaris trees?\n", + "\n", + "As researchers we often wonder about the weirdest things. \n", + "In this lesson we will wonder about how the trees of [Seurasaari](https://www.hel.fi/helsinki/en/culture/recreation/in-helsinki/seurasaari) (small island in western Helsinki) were doing in end of summer 2021.\n", + "\n", + "And since we do not just wonder but also want to really know, we will see if we can answer this question using some freely available data and open source tools.\n", + "\n", + "Our data: \\\n", + "-> Earth Observation (ie satellite remote sensing) data: we want to know the situation at a specific time and place. \\\n", + "-> multispectral remote sensing data: we are interested in spectral information rather than structural. \\\n", + "-> [Sentinel-2 data](https://sentinel.esa.int/web/sentinel/missions/sentinel-2): Seurasaari is rather small and Sentinel-2 provides up to 10 meter spatial resolution. It also provides data in 12 bands (wavelengths intervals) and the bottom-of-atmosphere (L2A) product is corrected for atmospheric disturbances, which is directly provided by the European Space Agency (ESA).\n", + "\n", + "Our (main) tool:\n", + "[Rasterio](https://rasterio.readthedocs.io/en/latest/intro.html) Python package (depends on [GDAL](https://gdal.org/)). \n", + "\n", + "And a collection of scripts that will help us along the way: The [Seurasaari toolbox](./seurasaari_toolbox.py)." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.2.10\n" + ] + } + ], + "source": [ + "# Let's import rasterio library (https://rasterio.readthedocs.io/en/latest/)\n", + "import rasterio\n", + "print(rasterio.__version__)\n", + "\n", + "# and a small toolbox that will help us with the tasks\n", + "import seurasaari_toolbox as stb" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Getting the data\n", + "\n", + "There is many tools around to get this data. E.g. [ESAs SciHub](https://scihub.copernicus.eu/dhus/) as graphical web interface. [FORCE](https://force-eo.readthedocs.io/en/latest/) and [sentinelsat](https://sentinelsat.readthedocs.io/en/stable/) are examples of tools that are used from the command line.\n", + "\n", + "Lucky for us, we have a pre-processed geotiff file on Allas ( url: https://a3s.fi/gis-courses/pythongis_2022/S2B_RGBNIR_20210926_Helsinki.tif ) that includes 4 band (rgbnir) Sentinel-2 data of 26.09.2021. You can see the preprocessing steps done to this file in `prepare_data.py`.\n", + "Let's get it and have a look.." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Utilize the toolbox to download the data from Allas\n", + "\n", + "s2url = \"https://a3s.fi/gis-courses/pythongis_2022/S2B_RGBNIR_20210926_Helsinki.tif\"\n", + "stb.download_data(s2url)\n", + "\n", + "\n", + "# open the file with rasterio\n", + "s2file = \"./data/S2B_RGBNIR_20210926_Helsinki.tif\"\n", + "s2open = rasterio.open(s2file)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "> Note: For data on Allas you could also access the data directly without specifically downloading it using vsicurl (virtual system interface for Curl)\n", + "like so: `rasterio.open(\"/vsicurl/https://a3s.fi/gis-courses/pythongis_2022/S2B_RGBNIR_20210926_Helsinki.tif\")`" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### What metadata is available?" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'driver': 'GTiff',\n", + " 'dtype': 'uint16',\n", + " 'nodata': None,\n", + " 'width': 2466,\n", + " 'height': 1832,\n", + " 'count': 4,\n", + " 'crs': CRS.from_epsg(32635),\n", + " 'transform': Affine(10.0, 0.0, 379820.0,\n", + " 0.0, -10.0, 6685870.0)}" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Check the files metadata\n", + "s2open.meta" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Affine transformation tells about how the pixels are mapped to a geospatial location with origin, pixel size and rotation of the raster in the geographic coordinate system. \n", + "> Note that bounds, crs and transformation are interrelated and updating one will also affect the others." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The four bands available to us (1:blue, 2:green, 3:red, 4: near infrared) can tell us different things.\n", + "\n", + "![](./img/vegetation_reflectance.png)\n", + "\n", + "Credit: Physicsopenlab, http://physicsopenlab.org/wp-content/uploads/2017/01/veg.gif\n", + "\n", + "\n", + "### Visualizing the near infrared band\n", + "\n", + "It looks like the near infrared can tell us something about vegetation. Let's visualize it!\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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k4+zP9EblWf+4bJkxXwa2dzdsdLq7YpFLS6maDvk02yhUiUAgcG5AXSfRXU4A6cNsGJnybRlQDmVXSS3yuhMMzmCFqoZdiiXYMDpztk0CTVvwfCEUsyjfmDO6z3+hONumkRLewPnl9RpkEaoeX3SkFXdXBxFeL2rHvjcDn81FwyEkYGIhRSxbjkpm6Oi2+mHtlPUH9CEHew7ccFkoIDrUWDyxgQlfNtI+p5PvwM7rvxMB67vbJGF0ulfVgkLTRkKgH+yqE+WUZGpt3MemkSjRE0sWCROYUnGKYbn/zgyQcGWFWxkKJ4DirIKgCC+XEmHbZ5GpYP3P5gugLeI01UvCWTBAc6ymoat8XzIBHUBx6Qn47KxErF0nhRGzGcjwXVvWCmNB4A+uomIfSBI5b/mBqmLbFt3eJrxwRxHjlijWn3MbXAfs0tVpsnJgUBBgCeS7iOWajZSxq2auParUpvOoMiE6cLsEtQaA81uj2ld/21iuBDoAKgfk37HtTCbiUAGtVAuDhCXTzPkeHhTKEBfaF03a8pJrsQP3oAkYVUz/5i6X8825YLRdV1HCpEtFVzQiLKGmHSnABXoQB55E9WzXOb3WsSEUKAxOx3vLLp3cCuv3q8cuSsT5jGxzY9v3PxSRk7Fikuc8Irf4bibQzEanexUs9oUK06Qhjiow/KBwl4uz8UQSlQfNLD78pqxknRyM8zqd+lTfTZ1arEKqnK9hsF1XwxRdp0LmK5nuq0ZD2t8rUbI6PX85EzmHN+7fnSQJBJAOD7S81CJVZW4cnxQsOQ5CyhGlKI4+bUuhRTCaTgundxdtILrdWijTs/Oqwvrf20bT8krE8yzoboCSUwOr4owt6mHmZIveR3ifOMszuVq/KLOZHX1idsAuSFhcaqoWHzqDAChpYmwNNK04mON1TZ1qepHL3qxoLdj+l0V0hldrb6ND7UScJyAOmrk4OGunY0k0k18MmFtWxTHv/tB1yJmBvHa82mGVoGIWIQB7UXixdAUz6UohDp0TCg5t2zC4JBSH8GpdIAygivp5uSytg5pmd9gN2567cxgHw1SwmnWyVQc3lopDk7ypwDyDhzjEYlBHCej9HYITrHW6fSXo4w7u40WIcoHR6d5/dgdUnEGzl6TrQEye8ZfKGpRsrj1YmmBDIsczOel0ul+vro7UGAIOPShubOuQO7TS/cEpXVq0EIXOPbLmDD47846/0vVhk11Q9UyTnVZwA5+dyR+pcI7tXLnrJHK242lK5O3bD6pnlQg7wnYSvFV8PptfbXbDQJ5gkKqH7ZDCUMFBdJL++cCMyKCdaIOFEHH//c68QMF4Y8BRb7Rw0vtWdYx4cQbR0em+1Ba7J0Q7T/HePt/mnLclDXIWMeZJkv5k67XqINQ4ZllfneFy6bgrtRNQhpQAJwIv1lXkSTmDjg5B1v9ssQBItBdg2gtdh3w2Fw4wgnNL5kjJaV5+CXSa70phxuFNNZugL1xTCdyEgSUmX2KzSwBA29Yi6JCoiJIwL0AJ+fTUk4w0bcHLFZrrR+DlSj67SjZQUWYW+dtDDneQxrVlHVvOudwLY4x4chbwgf+8JFn/GH1/sYGpM1DCOTQNaDLbCs0BLw6OG23EdF8KM3UsU/DqR7db5O+q30MRRxRvtoRCEK3hTiJILBbgxcKnyHJIPYebyrTPqVPmSLWYgVdrOQePZLk4QGswuL9fSniPDkUzQT9DSiVhFdgCVsLr7daBIhWpuHIlpGJ/Zy44XCplw77N/vrRQXNQKLPBoHc8yBnQtu4VnqxOw6a3VyrBpnmCc5NhAabaKhyO2gH3HW2/2AEI19CSoobfZ3kWaDrd6sjj/ip9DXsGtVu0Y7S2766T57L3zm2Ild9h08nL2Bjp3iszqTt9AGg2E+ewXIKz4ZTl860cyHOI4JGnG7/vDsem8MHZ2nKkhDSZFEcco8woiWi6Bk0jf2uJr7fegWCpruy1lMIJXq+BkzPBh9frOpowTnB0eE0DNCiteyxJZutDWQdDU8CcNSKlcrx9RgUbjW2l17GIqNv+NyKelMC3bhUBH3PEmaUcup0gH5+E63MFaGU9rHbI+Q6J1PT/vng3Zd00bWG97yirtrFdzzhrAnSAXVfbqSAGy1EwD/Knh44xn82rYMQTtK430uHFbIV7qUiXiB4moseJ6A+J6Eki+qaBdd5CRB8koo8Q0W+H5X9Xl32YiH6RiPZ0+Y/r9j5ERL9KRA/r8i8nojPd1geJ6B136VzvvWmZq0c+iUD7+1KSayNzn7QdqSzb4IO+8+XgqCwxYaO/RWlmiYYdlR3fdFrxcqkHezi2aY5PtReq7ZrjNHUwdYIm7eji4XH7WSEWfRm9l9paW7SvVo5Bb2B/xsIwa1uBP0y/1/Ds+B2lCUUZQe6yJ8QMzjDGRTwv7nXB4PVaij1OTkuRiOHF97ta2cCzcDvOdLD9ObZjvr4P6yzS1Zxti1bRdZKQDbiwb8elOCfFYccBcsu741G6D9qNDAC2PuetkMPdtMvCCz8J4D3M/OcBfC2AJ+OH6jB/CsB3MPNXA/guXf5qAH8HwKPM/DUQxvHb9GvvBfA1zPwfAvgjAD8aNvlxZn6j/rz9js7sJTJqp0h7e0h7e8KlHaJQDWnIanJnkFt70ZTH8Lj4wOQ6+vRlQ19vGu8XxhqF2pQfwKaTDtVp0QGZWAwvV8hnc+Hwzmaga9ecdsXzeagaS3UBRYh0bT/VenqOaTYrtC6LVg4OhAZk3OL1Whye0roqsXM7Vttmlg7BrlbWdRIBu1aDDpBRjjIFepxBLwGqASBFGFdMo7cfSV5EE+uLh2/bpn/X4CEELH+1dgfsMJJ8sQQUdg81l0AWLa/Xw+/FUDsehRjK/TQ2CtmJhSDoxZuhXOh0ieg6gG8G8DNyLLxk5hu91b4bwLuZ+ZO6ztPhswmAfSKaADgA8Ge6zq8zs72xvwvgNS/gPF46s2KFdiodcTXTzp1Gd0qjIp2OYyUvs+nLWpPEaBsP8DZSd/0l+R0fJI14CzaZNiNXewAnk8JNBKry2uo7Gj17xtm6RKBkn20/cr5LIHfgk1Pk524I9NDr9uCVaYEJ4bhxjHo10s2np5WzTwcH6L7iVe4UebmUz9frOiq3Ao1oeg+q62kDoJ5v6YbRaw8UBoV0dOiC6rxey99cpq/3teMdgqz616RnfRbBZZJovkyrIJkLjGb8bV6vNyCzwkJIXl3oM6DNAxs8TqDg+jLDSRu473nHfDftMpHu6wA8A+BniegDRPQuIjrsrfN6AI8Q0W8R0RNE9D0AwMyfBvATAD4J4DMAnmfmXx/Yx/cD+Ffh/9fqvn6biN48dFBE9ANE9H4iev8Kd7c2+kIjQjo8RDo4QHK4QKI00YRNlZKVOV5Y9cveDDSbah+vempcAfr90XqbmlKEF6rDJE8Q1YUEso90dAi6diRCNJzrct+ArVURnEUAQ07TDieu305LCXCWSMb+Hnxp9Dyiri53uWzf8MdwHfLpKdIH/6jGoU2p7PTMX1BerryAw49RIYa4zzj1lf+zzxy8mGO1dpjEq9mWS/lellZD0XFTO9Gk1X0IN/SiuqhPe55zBTYdVEy0DXF1bUA2IaIhXDVCCABqHq/RFFUhr//Tf282js/ucQ8i8nfrRUygmV3G6U4AfD2An2bmrwNwAuBHBtZ5E4BvA/BWAD9GRK8nokcAfCeA1wL4EgCHRPQ34heJ6O8DWAP4eV30GQBfpvv6ewB+QaPtypj5ncz8KDM/2uLetNKmycQdLbUTkLWgAUpFC+ARj/UE87r+aVuiKsMN9/e240hDIh3x4Rh6SIJzyMtV9XA5S0Db52AyAbUt8IpHgFe+HHSwXyhYQ+wAxVt5uSwRbu+FMBzUpn48nwvNK07N29a5rYYJO0NCI1s/boMerDsw9MXWyjgZ7JR1oO17HMpgLoUaKYgAqfM3fFgcsV5rc5B6bXmxKFGYvujRzCHzfKGDUpga51IybM6+uXbt/mz9fg50NeRo+w71MjADUN4Tu7/Wjn0Qh7Xn2+6vzYYGBoQKV+5tyz8L2P1GdG/QUm9AfzHsMuyFpwA8xczv0/8fx6bTfQrA55n5BMAJEf0OBPsFgD9h5mcAgIjeDeAvAvhn+v/3Avh2AI+xvpHMvAAkdGXmJ4jo45BI+v13doov0MK0MB0dlqjLIqn5okyDIZlZZg4v/hpYFQyz2u55ZYbmXCPIf4FuqBH+N5T5c5LqHntI92aghx9CfugQJ192DfNHGhw8vcbByZmcmxUtxM0HPqWzCKrrVKZrwrnMztv1bVhSStkKXiUW+JpyzeqkV1JJSIbhgKm+lijQAS9XYIuk5suakWBMCBO7IXHYfm16xyGXbziSk31OSxWUMTimU698s2lszKp7Mcj9ZszAliB8myN12Gy+uHB9d6xArRliOL4+P/Lc2IEEGCuWjve3ixqLju/I1vzIFqNE4PVLDC8w82cBfIqI3qCLHgPwB73Vfg3Am4loQkQHAL4Rkmz7JIC/QEQHJFfsMV0OIvoWAP8lJPnmbHIiegWR6GQR0esAfCWAT7yAc7w9I3J81mheZO3FV4rJNg3y8YkoWFl0azd/vXaYAZx9Sk7tRLBcZtE+WGm0eHKqXRGGjuUSWK5ZT3e2LObKidiUf/3Kh3D2miPQmpFWjMnxSjorxDLYOAU3Ba7ocPsPdHCEjr2F9T3x1S98UCdtf1c/jZbczhcl2WbJmMBk4OWqlCqHiNrNotsUBrD4kqrDNBw+PfwQ0tEh0t4MzdGhZLmjmQOZtkiH+0UlLdwP7rSG3yJqwxL71+0+syHBGaveM3aL5wIw4Nji+jYrsRmf8a+VykdNAh0cID10Hemh6zILCqwWh7cC3HPeccff59o27PduVINeYJfl6f4QgJ8noinEAX4fEb0dAJj5Hcz8JBG9B8CHAGQA72LmDwMAET0O4PchEMIHALxTt/lPAMwAvFcv8O8qU+GbAfwDIlpD6lHezszPvvBTPceIhGmgtf5o5bdPXzT6AzPo8MCnkkPUK84surHTaYmotI6fDg+kVfnpGRCjvnoDF9/48yLe/qr90tWmAc2myLMJ1nsJk9OMh/74GM1nn5PS272ZHNtiKX3NuDiySo4xKIPZQBOrgQAgCoM7rjydSDRq0EQPnvBS3pRAs5lWtIWqMxOpyb3zt3WsJ5puL88XUoXn17fo+5LW97tM4GoFOnwItKfbQwn+aH9fVNUMmzQ6GlDa+6hOrxSDtKHqSXV/Dw7kFPp44n1kLuAd8NTYJ8/NZgXrtUIQPcqjK7PV0WopOy8zANKCE14uvV0TzxeSCM2haEJ2XPbTi2idnXDRoHbe+3UPMF3aytm8QnadXsbfSI/d/hdT41MkM7vxrOWqRr428r69aPn0tGp305/e++92ItNj3bbjSZQ2pvCV9Z1vH14YcrwRx2p6L0pmpOtH8Oq3V74M3bUZmmdPQIsl+OaxYLx7M4FMIrXLoIIQYbrzS0mi/4i5ISTTbMBpzUHVouM+ZWzbkmizfQV2QHUcSt8q01F9hruuKILF9kHx+piz9UhcHIFVztH+voizA1K510n3Cbp2DfmZz/s208EB6JGHwM89X0EmlTiORXWqAWHP1X0rjkOkUE7auK5+7Zqidey8a0uIRkcdrm31WSjH9fJcfcdoOgW07x3fOt6kQHKuIJ1B1gWGI+9q/4FiubEuJfBqOMF7O/Yb/PgTzPzo0GcPVkWaRrQAPLkFoHphnElgDrVBNWXlRek2UNWdt1rl1DfLagMVRebiY9WX1wndqB3uuV+tI0iPFjIDE41kPv8cmuWRiHmbJm4idaC04dAMjy3OPBXHkVL1IjjBPVEV7ZrgjdHqyJy1Tf0jxBCq45K2BKpKhWdTp59ZdMzxmHuVUxtkfS1coaaBlYdi2haHq3QzUrYJrCWRbXO5BJ6/Kb/t2fHIj0T4p5Pt0kx6xTkd6n50uABi4crmZxnoSsIJKu0Z8xv+jGnS0U0DBJ8lGOe5K88ds8wQcetY3suqMjHgxgY5dduDj0Hn689gcb4RZ7ZlGw1bXwR7IJwutaKz6QkZS2AZJpi55BDaVhxPnDLZlNectJHm+zdNFvr3DM8y7mbzyMMCLTQiBchnUXWlx1Do/02Xc9iGk9k+o/n0jRL49Ay0WMiUzOCB9RrY25OHOkY6uahpAaijXbsm5qiVFtd3LN6FQv+mppFOFoeHyDdvSsJNhWZiFZ07+2kLzMP9IGlKyWfzAgmZ8wPA6PwFo5acSVAYHIW/K5huFmhgf88TYQCE0TGbysCkDkY0JfZk3+ZsNZnK2sae9vf9vJ0N0b/P96H5wBpmbtvWQweBYCx5222JMtU8gOglWP3e9Gd+mYFpgMf02suAtlAnXnIZG5KP/ZmfzsRkFqsf2Lr+LLz4A+JuO12dStOeTu+7DpTKNJdX6/CQpJpG1E5KhLpaF7zXNy0tbRwqWBW1rTiVMWEXdB26Lzwne3ro2kb2/bzolRqLFEL0Swng3sNlVVKKuZapux4XM/jkRKhus2lpWW5mRQinZxKJhpp4nwGsVg4FMDNIk1O+37a+ThV8lRkMgRfyUiPq+bwcp2X2KdesgHX5m6ZTuUenp4o/su8zHR2KI3RYIuDPjZxf4fv2aFDrtUAM0ymgreLZZgHMIKWkGVREe+KcnWmx6k2ldaCg/b2tfOT70kKFYJy5DTq18NnGZmK02UvyErpaKdfkRoHqnjG6MrhzBjXT0lm6V7k5yCPuJ0whuDu67Elth7osWr8HtntON0nGlEMUw2dnZeReNqUyy5ykZpqdXpS5TH2AEsVpZjUvFg4/AAClXumu/624ljZntGPKz9+SF7KdeGTk1uMXwrQ/KVURm3fp7TEfSnKn20h2FfbBXAckKhn+nAFm5Js3ZR8Gv/SEbtzRqnnUok6Jl0vPPvtDbS9Q3+z6HR7IeXRdKQ21JJTdN8tod50fF6/XEomu19LW/eTUj8mPr8sS+fZEeZziFtaVKroOSNmPjRcLad6p14gN77x5q8BSChn4AKXXVqJ7GbhK0ct9Ci1EUwdnnNVLJaf8q5vsGQCFKyv/FCjCfnNJxAIaIFkXj/D+8K3jzW0M4cThXICmSr6Swz9dSYI2CfxiqtwE2ymnm/b2JBG0WkvEU42wIUrdm4kmwGIhOgHzBajRF7RVjBDlBhJNPHJ02bh+qaIfRElcRXORjSoTi+J4fVMBslBnb9gyTaeg2RQIBPMo3gFNXlT6sv1KMc6OQ1o5ryznOiLrt7KJA1FwqE7p6TtiogJLhGPx9VOgBWnX4AovXq0dryNNSNlso07qWWIkEN/lpvu96WO8fn7RzLlzBk00mbQkAFqUMW1BZ/MwC1r5NvJQQtQSisvVfQ8p9M2TncHh3qm6WPzOBq7eTiqMuPrM8HYrxMkFEvDt5PAd5VxXpk44UhJtINw4Ph7uy/Zi2G453UceFmeyFsw2a4QLFNzJyenWxqWzDgKlYmqDIG8ShobZYQC76ieuBqwiiLeTCsqovhMy7I4R2/aXK+TFosru2/EmzfzipDhepuT7ii13vFDBznG1rhIizCy83XhulhBRBgb36Wi6Xc/gQ50glWl9qT4Th5xU94EO9qV3GSDONZt+xRQ0m1XC4BXb5OysDJZtC4LS0eKMgbRrhFU29fHEycQhk3zrGHR6Bjo81AKWpeDOr3gY6fPPA8fHRaMiUY1N2kAS9RfWZyHKvSLOl9nbHAEXO9nztBaGPqOkSTmLdOPzHg9judzgsFcQR4zCB9g9dt+ZNWej9EciAjeNUCIN6LgHlWhmO+V083M3hAurdBYKkdvGSDubgQ72kXAD2V722PYFKJQYix4N5+QQzVqpYodQZUPFiSYCr/TvmOUNJgULTZV5H5zqdB04iL94NAlxqPnm8YaDRNIsvXVGqMphGZhINO1Rh0X2QFXFVmV/E9VRRrCYJIlCOB5xpyQPu8HeZ2cibr5/WKaO9nK2pf9Y1H2w7g28XoujbSEzAECuj0W78WWuBrUeFQ/J4RUAOp0lUS47OgLP56DPfF67VtjA3HPq9l2WNkU2KL7YXQheLLOE2lDF1xCEUHQTap3aQWpj+aK8N5Tc+Vn3EKBAWn2jVLBaovKeAXBnTpZesdmVbavrkA268E4k9xb6efHLL+6hMTP4bO66AI5vZi5CF7nQYvj4FPlsLpUwKRXOrlGYdGRM147qqbtVVcWHyRxqzIirubPvuuII5ouS7NIklE3Trca/+lmti8C4Jfws4jRc2BJe5tjtnJcrL0hwGT0jpjfS3SGqcUWcqzKDMrTM1h2pXg+bErrFKMecUoRDLPLssjtc17SVHRUdXf3fdC1MBc2PIXKIe89Eda8sMu3hvmD2RpTuVHInfOXlSji7OssA4PoRURDIrk1UJsM9kgu862YJtT51cUvU65oFUavB+LC5FC1sONGhBLLmB/TLm5+H5JhrIofPvPNI794A5fnzYp97BClE26lI10oTmRk0m4Je8XJ0n/4MXHm+aUBQLufpWXlBDRtdwqNNU4qipvEX36c29tz05AD9ATHqFOAsB8GMOzkWiwr0mCJOfFHCgohEoBvmUBKArjhYkyAcCLAijOEFBjY10/JmlzUcENlxbFypXwA2ihE8yjXMN0YulaPrSiR7VtgSVipL+3vidKMT1u9ZZI7JRGYfAHA2L3oOfUsk1yOF5J6tZ+e2XG7yOzODZq2wVFbLughitfImnCX5k6XBZWhf5JdwgMJ3v1ukj8mCvIHvAgMRbaRbIsBBNvPKhfVT5UAi+8YqIc1CgYYHPUCBjQCHKmL7ppiwM0jIZ4feXom2i069CLZTTtenc0rc55u3vCKKu07KGSl5hGkJkLxY+IvTx5Ck5UrjpbxALyk2ZPZwdJ0wDwIdJarXO9Zq36m6JfZwyaC5W1rFxAiu4Ib9CrlqAEBhP/j2NLlgzojjABDOu1xndjYCacGDvYau2hXZCyEyBeAQA00mEjkqHOQt2r17gJWJTgq7JLOzR9CspbR2JWLpbLivXbttyU65GPJLBXQqUZpceNu8XoP29sC5C9VYimsr1u/n5BsoTsBLaK8KnhvNMv+ximsLPYxSLjONpoEnosO25LoWLneEflyXwizOmnLWwKXXnmno/XPoTB17HwaLDjksu5cw0E45XV6vhU/ZdVJiPxXCfJq24kxj+a3RU5RWxeu1ULuqDeaSJTeIwh4eI/CHaVX1v91sA/RRvi+LYxuYksCTz5STGx2v0afsGbLIgCaOYTrebJ/ZCxOmdf6Y6jUQZ9aUSMAe9iHHhToKBBS6SOt6qm8RYC6Rf4XrIkBBmgB09oWXF5foVCLOqVDLnr8ZIidNiDYNaNIAxirA5sBYtfOxYhfj+bpuBFfTTzRaoWj0tazPj3Fz9R5H9kaVoAwD6r3KjN9VCw7OkrSuTRxYDdUzoc87UgLnerCuAg4OPHfjstOAEw2caw6DWfk8Bh49rD5G31tyEL7uPbSdcroAPPFiLwlNp8BkggSJYi1z6opfFoH1aGASIbZCuF8uRVc1PGA+MlMuJboxyZQINtqXlzQk1ICNSEB3XKLeMK3jLDxdz8iu1rBCj4p6Y1OqEHE4ZSYWNUThmP09wS01yrVzsMiC0qQUkkQ6m+3PqGEW3UbNBBOviVN6a+bIVhY8LVPPlIRX3bYVRSzt7Yk+BMSBuprbcinY6slpBUNszEIqrFlf8Hh8mtyjpOLaqzX4+VvVgOUslhgVr3sVUeUA6mt1NfNpPlvKZ3MZHK8dAbeON+QcZWULPmrn168So3ArEKLZmOStGCqGvcZnLjjKisHQ/7+vuRDfQzNKAN876GennC7nQNw3J8rSeZf2ZqAulym3vmgAKvK6RXk0mQgTIuB4ZFNqpSeVHbPXpafpXiHeGzaqUStNJshLwXUHoYl+VczACFwKDkLUGKbuPhg0onGQlVsKhCjX6FpKEufFsnZYRMDe1FkDzovlEnW42SDU4+565Le/79EKTVuPRAVf1qIKztK9AgBlltZBOnB6ZZwK8JiTtcQmAJmhaKQsRxO4uV5+yzVVzI7RBp5YwWcFENZWBiFijViw3qNBLD4Q9uWaXEF4AQByByQZ1PNiUWfezYH2ihG89NkG71R/XiXCDH6y+2PYLZXcQMl3TPyeRviLQoCyARNER9xgOHE2Rrp3aJpRdwES55R24oitG+2ivsBVIUE/63o2d3EWAJUuqOk3VFq1SXVdja+ZuXKkTlsJykouFhOgiQvV9y2zbMdPCdjTzrXWCocZ6JoqqWftZACEGvRuA+ZAQz4DiAmxGP1Wl77pCZzb+bUT1YGQyjlerVX8ZemOzaf9y5WUJidSYfMk/N0JqjJgAPCyWzsPzVhHbJm6TqGYwGiwl9sGUauw6ych47VAGVA8CWMYZi+zP2hdJ3zmq8RcGDBjm1j+ozrn/sxtKCIdKiACvGLQO39Yghco74XN/Hrvh2PE8s9mItT2m6gETPGde4lsh5xu2pCT48xAXksnAcM0p1PVWO0qxoAlqqhpkF7+MuQvPCvbmC8KnqWSfO5wbUQnnVaGyJYTJLqlieC5xqqICTkvoS04bDUNDZgUKWQgOr3LoNSk+1ytkHvRXT45rR5Ad55A2U9VGtmLPHS5yyhus151lzklbxAJlEo/6+i6XoNX0oGX9g+BxUKON2KiyxVgjAuDE7rsTtlI7tBr727NXmCDkEyEZ7Xyzw3HJtJBMEukVZH0dXbCgfdbtXVBPeButSvK1TWTklx9cDKXgoKAlwqbJEA24ZztWlXwVHSgVgJs2K7dZ+PxIuDBvYBkqGKugnUy19dfZ6gElPfwHuPtO8XTrV7+pkE6PJCodL2WAoiuA+3vlcotwBM4RCQaqYeHkpAJ0RFdvyZCG4HD6zqr+1J6XIRUwsOZ2ctX6aHrAFA4tfqiV1zB3Guu1+cBm/OIpkka1ypIVPUf86lcTETYefUSF/3/o46t/D8s3G7fTa/6Yumi0H8JjEtMJEIy83mpMLNk2GRSyqzDvnm+QF4sBCZZr2v9Y515IIf23Xq8fW2N0rWjcKKNl+v3wU5b1ehAqvFqVKSe86z0BOJ1tXY0Ede9ytab0TkH3H6AqlGnc2ANQojXiWuH3E/MejLN9qHXsEqEhu8OivCk0vOu6uocudpa5izv4b0dFHcn0rUsqE0fs06Lw3SQO8g0dn8POD1TnEeniHtSodZ9/gvAjedLYUDXgY+Ptbigq6dQloCzyGs6LaM0UMB8ZuGROl6VglMNTAGLapumOF87PU1kmSA2dxmkBR3ynYBjkmKl26ZQ4bx9+1wcP4VSWYvOCYDzJ8NnbimBn7uBfDaXlyQVRw2UIg0TSZfvd0gHInbDJ2eeEPTEJiC4upU166DnFL+UQNeOwDeeL8djOKwyKmLBh6i1sZxHzoV5YcIqgMhL6nfS/p5ULqr4/EaiNfztM6YwM7BEYF68+Bqt98Qsqaj3wSUtPXFdBI8AOOf2ojY7BkVVi8yZo+fse5Gv/e2zpx4VzOVVw4Bc3uWXZgayO06XUnG4atn6lNmIOxU2wvI/eBUmT3y0TM0piUDO2VwfqrDdiP/E6Dc4hqo81ZJ3GrXFTrL1tCc59hsz3pQU5+wywCVitF5tRm+rotKBxJZQv2r81Un8CbDCiJgZrpgRfew26uva8ehy+9zKqfs8zKhlilWh7qFpSoWXDmIuSt6IcDUfnwiGOAnJy/lCzqHrRPQ6vGiFroUSLem9M7U2j1qpJDydvqQzk6StdUyjI0ZO26AEm2HkoFuwMTO56masl64TPWQila9clWpHLR/faCYZo1odjDdmV7EoIuDtxniJhRhV1xYXnYcnigGUe2x5gfugQGUH5j7F3LGFFw1ANc3j+QLtHz4l8MPerESUPsXPMoof7OvUtdf2hVL9oHSdOAvt65Q1orUOAmk2G04wAF7/3Z+Cxgx5NZ0OWBn3svGxwwMgUWWELjYERUxQJpb09jvsGvfWovdcthfx2qFyS2qaWjZSE3eOscZrYTi8yUNGXF6nrVYe3GdZOMVNr29fLyAesxxXQrp+vZ5uWrJF2xXR3sxnIl4ubX3XYhJog2JIfnxegdZ1Vz6JZlN+vxem/HV2JgMMDXBst+GkYYDfcLhmqpVQCTL126bHcmMbXPv3etpW9/B+sZ1yumZRls6cKu2JXB8vFuATFbiZzcq0xiI9dQx8elZt0x16RdI22lBpxW6MCZ9+2Uu7gZcK0yGfnnr9uFWClZ2WwoWoAxu31ce6OETd/bbmUpmneGesSDOHuAqNAPs8ST1mABuc5nIwJZL3TrE2BY0DQJPqwcgwu5wL9NCJtm5SAfqNaL6//1S/xFbnv6EfoctoMgHNZgAlpOtHSEeHBY8FJFparmQ9/azPDa1O3VoK2fW1+3/R1Pp+NwrJL8h5V5n/rtNnuKkhAhv4DNs1R2sNPbXTB3cZWaNkU/Hz51CTm97yqQ/NxQArwHGml82LxX3ncIFdghdgGNLAQ24vX9MAXar6LSWjMKHGNTmvy8PVe8k9KrTEWiTYG9k/Z6CdqLxhVzsue6BsYLDS415JL2dhN/j+tMw5RglO6QqRgEMegR5myZ1Ybot+9BsGHsSBxYXW5TpyB5nG9RJr1KRSLGDRfubCyW2MepVKhBphl94y1+I1apYXRei14zIIABCIQO93/VzIMVuSkU/PSkEGFGu2xohdB15bXiBLAnW9Rj4pEo19QW57tigcixdgXFV+LrDhcId0FwA4f7qvv7wBJ4Qgxd+ZaQssURw21TBWVRjhg75+OATz2HNhyeX70C4V6RLRw0T0OBH9IRE9SUTfNLDOW4jog0T0ESL67bD87+qyDxPRLxLRni5/GRG9l4j+WH8/Er7zo0T0MSL6KBG99XZPyrLUaW9Wps6TiTgP484GapKLtgDD9J4QLfen+uZEaNoiPfwQTBjc9XK7ooBfRbtBkWkrsR5lIOCuqNyziZhr2xEfVGK5qeLVjnlZxNGDJcyBU9M4q6PCUC3K0OuwASNQGZBcAUwfeJpOledcHJHhngBcoMjPqYfJlyRliGJ7CUaPWIdMj9cGJGcizGbiTE2Ryq5t0q4gSmVD2/osph/lVs4nBZ6w7c8KP66o2TPr//cc7gZ1S6EUd57GUujh7a6Wt1jI7DCUbfszPgAL+bMQ2Qh2bL1iIRk479/k5WWfip8E8B5m/vMAvhbAk/FDInoYwE8B+A5m/moA36XLXw3g7wB4lJm/BpKiept+7UcA/CYzfyWA39T/QURfpet8NYBvAfBTRHT5bERQfvIXmlkSU+1EfhCyo3YT21ai3oi/OvugJA/ifqwvmuu7WlddpWoZzckpNwMR2FCixSERm6IFbQWbMstLoXxUq5Cz7PIQTSkH5614s1N7bL+KA7Mdb+45QqV+eQJSBx2DMqqkWFZnFelB07a+5kYRG4oGo2OdTqWyrdrWFM0jDwtlbzqVxFeEYWwb9jJnLjKRuasrDa8dCc9Zy4yZGWk28wFlW8Tk7WxsamzVgnrPeH5/Tm/PNSLpwKK5hr6ebgwS+oOPP1eBj1uqMtkDAY7Pov0YrBDpkjbYDg14kWZpjppC4HEf4+gXOl0iug7gmwH8DAAw85KZb/RW+24A72bmT+o6T4fPJgD2SZSxDwD8mS7/TgA/p3//HIC/Gpb/EjMvmPlPAHwMwDdceCbGBQ11/5bUcgFvi8pSqiqR0E7qiKzvBCxKDVACmqY0vJwvRJ7w7EwenvlCMvmZ6wgtOm2qj6HvLP3BDMwJT2JYNGWQw3IlVLJ4/Lo9Sw45Z7KaAubgJLoaS+s6bUkjhR3p4KBM88PU2rZJk6KvS8qcMMEhgza8BNiofc6bDYR5hBcrMg04O2YuCUitFDTFtf29QiOz+2wcTz3evFwhH58IU2VdoCMrXLF9+T2btlXHir5FAReHIwwrv4qwAhGSNec0jFZ/DzE2hpyvQDVN4TnHZFewc3V5zcLsbmOfIdmqXyy/XyIq2GXtMpHu6wA8A+BniegDRPQuIjrsrfN6AI8Q0W8R0RNE9D0AwMyfBvATAD4J4DMAnmfmX9fvfDEzf0bX+wyAV+ryVwP4VNj2U7qsMiL6ASJ6PxG9fwXRvU3XjyQq0gRSbEXOy6W0gzFA38RcHEsKU+yoruXJoSQvlFW0NNICPHJWIy2F1JFHjYCNwoLMBX6ID3a/MAK2uIzuJcISoneM9rxc2aK+1arAG7HyR39XeHOMrv2FKQUWG91WAc9m2+AksMIUdHCA9PBDhcNsNDuNjn39RlkaezO/f/3BwdXQLDmZWQotFgtRKzs9c0ZHlenulYe6IHyXnZZm1Yc2QNtgiuVKrtnAzMG4oT4NjzOsPUnQGfWMZjMZeLZl6+8H0+Igm3mRMnIiHFStPuCECxMoe2LNZilpNqsYICXROTzTiy2O5NrV2PLAAeF+ZCoM2WWc7gTA1wP4aWb+OgAnUCigt86bAHwbgLcC+DEier3itN8J4LUAvgTAIRH9jQv2N/RkbgyLzPxOZn6UmR9tER5qHZ0BlJfa8MnQAbZkmZV5oC9tun5NHIWZ45la1bRcIs8XMn1UhoMnjCaTElEaHcxwvZCMi07Gvp/nixLdAXVUGUuB7SL1pQqNrmQRR1TCis7e8Moh7Nq23U5KllnPPZ/NgRiBhqyxObvKKU5b0VI4OSlUrx5B3du5q6KYDGQzp/pUA0vAxmHynLmUGhe2RslsG84dp8TUNIK9x9ZM5jC15DefzZEXi9KpY/Ai6YDe+9zhGIvQAXc4aX8f1E5B7RRIzf3jhFODdHTk/3oewRO8m9dgA9eOyy0Q2N/zgclLqO3ZCaycpPfOHXFvcK+KjXr7qgbXK+Bwgcs53acAPMXM79P/H4c44f4672HmE2b+PIDfgWC//xGAP2HmZ5h5BeDdAP6ifudzRPQqANDfT4dtfWnY9mtQIImtlpcr8PGJ4IhWY29T8vXal3mSQ5kApqcAQHC94xMvotBjc86pUVsAIJ+cFqK40okiLcpeWsdfLYmj8AZCAqsPa9CkLVFZdHL2E035oTDIQa3Pu43JrLLQKDkh+abXxMs6e1Qta+LpEWCgBmVtaSMJj4z8/E3kkzMvFIn7NbH5dP2aOGdtjMmLggNXeGHXqeC5FC/4fY0QRO5FuFaFFiAMEULX58Iw6KZBOjoU3JhzuS+G0ZrDtt/tRBz3dAqv7rNodxWKBOy5mrZSBZlziegtCjQH/FI54aTl8hoI+MxNhZP8uvZsa4GIBgneDUX5vBHTBVCxbxzaMTpYLJ/uqbltO4ar1IvuQqfLzJ8F8CkieoMuegzAH/RW+zUAbyaiCREdAPhGSLLtkwD+AhEdkFzlx1CScP8CwPfq39+r27DlbyOiGRG9FsBXAvi9C8/EXjbDgex3xEk1c4pOm+7pNBiAJ2Q8s7430+m6lDZa+S2g06PASfRa+4qEX6JtJIEi0sFBwZ51Wm/JuHR4AJq0zrioRvF+9r5XDOAYs/WLchiifsD7nXDdsVrCKYeebI5TBl2DyPntyrY9Ag0vVdYB0OlUPdqbQSt861gSkMzusK3lNiVCc/0I1jEizWYeSVYtYDILpavPiTXHa+evkTDrgFm0W1NJmJHASBGjru5rOynaDPqcOBVvtaoHNR/Mctm/5h02OMW6XWr1GbwXTpg0ojSWgeG4kXlhcI0lxrZgsRtmOQLlhEdlvEGs1hLb9uwBZbbSK0jpay3wFStAuSxP94cA/DwRTQF8AsD3EdHbAYCZ38HMTxLRewB8CEAG8C5m/jAAENHjAH4fwBrABwC8U7f5DwH8MhH9LYhz/i7d3keI6Jchjn0N4Ad5sDVubTaVjzcMQHFCbeMJHJrNxImmkuyJOgX55i3wcimVS8bhzaXkMEYEngyKTjInMEpCJh0dAnszcTBZZQG1+6w8VKVAwzO40bquCMJAoulS5kgejeVlgS9ihVrhHwcecAiYz09qGA2oqQW8LVnn155KgYByNqlpipSj7t+n31HEZLUqDk/vHSWheFkbdj49rbrD0rQF5hnZjrGX3POISXmbFYYfSqkdL7QEmspRltZMuWw3kdzLyQQwZorNMrRHm13/QrczXH1dnrcN3nbye2rPQ5oE0SUvbLmLegE2gwOcWUOADpDJ7yFbxxX7WoxIUXBys+gQTeY0KaWvespMdwSA8eJFiS48+4lKboGC+LnlEjy4uDpRLgDQVszqCtl1ehl/0/63gfZmjj16JGL1/5rgyCdnTrUCUKhgufA488lZcSqGQ/VqvV1T15yNimhULz9nSaQc7Iuy1vEJrNVPTODFxpQbZlVpPT1SixxL80CqiyziVA2oztklKa0J5znaokUCsV8IoQ5mNgNcNGhPBNFv3SpO31pdr8sswx3YbCbL7XgidLJayf1oJ6Wtj65v++XFQmQ67Zj6jjdcC6OrWblxTGD6NZpJ4YRF+ZUuhUI7DiXYLCG2/dGI3gcdu8cW1Rt3eTIRaKNHQyQVbzdH4xG1ReE5QFhRFvF23+F+0YNBHZHupVSuqFuwzYbkFas2SZawPaurPP16BRz+XOtDGpc4tpfKfoMff4KZHx36bGcq0ni9BuYSdQl9SpcDknhJEH3WWBljFKfZDFkdhfNuNTllVWdehWX7s4g0J48G+lVKzJo8mM9lnUYEOVzUxUoVt0Sa8iBvJuIAmeL7I5gLncpfAI+SVu7kCBLVeHuf6Oijc4/42RaH62Im8eViFqWngG3zYjHoFDwq1iSY4aFo2zL9NP1idbj+PSXXe/IuRD6eeLTZh81MonJapIU1iqfmrkznDXYg8m6zjK4orWWLOgs9Md6HQmVLziDxQUoZHLBS4UkQ3m9FKStNp/UU+2AKLJZOX3NnHo/TtAoucsCGV8dnLltVYwc+W5UBOtD8onmPwIEE78a6ylN3MaCwPSIGGn2GOhTH23vWK2fbw/mvou2M060sRhD68knih5wKg3YqbbVXmlAxIRt7KfoPXP/FbhpQMy38VjVv8mhJHAD5bF4qv6ZTeTGXy0G6jG9H95EmVDDVGAmoI4iqTjSRsmPa3/e25g5d6BROromdUsTGmoK9Nq10XrAsdiiPdoccX4SmkXY6QF06DQAdasjEcbrklV7mxOWaGReaiiOGOkqjcgWZxw0oxgY8w5ytIGMeCjf0nETCkoG8VmhnVaqi4kwpQDl+LbrO7yVgg06uaYBGWexWBQ+PCc0QqfF6DT4WyKMUmSS5DzZoo+DzrlVhFZGRzUIBZouR8JDD1XVsO3YsIO1uHAZy0sGAmjLw2sA9yCxAcMhW9hsi4krlz9fP2Ogn14X7mlCi8Cs6S98tp6tJL3OalSqW8jzp8KBwPK28MyQQnP5lBO8eX1c69UqbENfjVXoVL1ceJdN+Wzljm0I5RmjOq2nkpVezijPuMppHHka+dSxRU8/hAoqlrlZybsYvzSyYY1MwbMcdrb9YbJNjDjQXB5umU6BJoOWq0q5ldOCVYtJQutTJacncx8iL6+vmsIpJJC6XDsd4pJfIryEF5+Tf04KNKC4TrT/gOazRE2ipGA9WOMPBaXD2F70a0PZmABHyrWNnN9gzE7t5eBTd57fqQOEt5ff3RDDGIDHAI2vYdZlMQIgzi1Qi8qaRASgm5fr75GFn2DdPesZ7NgA7uUynFfYQeaHJtu4OXmqtybSqr5oFRQPfrSGLrsojXFWHC+yQ05UyT31IYnFDNIs2lM5lyRyPoGx0N6fNGh3GBwTSqhuAP6Tp6LDgbt6UUiM45c46zSlGxcna+VQnItHpei0Dg04bPSpWZ2FVdjGiRmqAbglW1Sdmdm0Gvy5NIy+7tRzKRUAGHZy2ZcdrkTT5MVOZFdi02pgNNoVvmgDlkL9UVYmunZPSi9J0KseDrtC1rFJstQJ3xs3l4uCihao25+wqNBGny04ntPurHX7RJFDbAm1Xospp65ivwBkMPjstkZZBF3brzPkoMwZddhjEAgJL3BFp8i00Y4wRevXMVgU/BVem/T1AO6I4w8AG2lggEpg1FjT4vQzPnaerDUfuTd9dZ9m2bQM7BiLb+D3bToCyIpNhmw0OEPaeXWHbGadbVXNF5gIK3sirNTAv3EwXZsFMpuQnp4KrGZy2vwfk0yJ+PYRzdp1Ee2aWiUfBk72tj76EXmvuL1tT4ajpoevSEff4RFrAn5xW2X3XlAhi42Tn2zTywjUNiDN4BRgf16PFs65k1i3KNdzXXqIwHTcHmw72JfIGKifGMeox7DK2PNLr4IpoFvFoMtI4uBWfGSjt1Y114lP9QBeza6zOIO3veV814gwYJdCYF4oZe2Wc3iea7osITkzMtROBoQBRGjs9hRXB+GBH5Vnw/neTcvx2rWhSmpk6NmvXwpxX04BaFEhFOazUSRcKPlG+OU3BqwXA8zI7swGAS0BgTtSvW0zaDUWWHoH2NEI84iyUQAAlOGkan/lt665RsXsCvztCCUNOtp+Y5tVyY52rZjvjdL0lj1GyqI6qYm19FJDhTjil0Clemj0EQAndFi1GGhIgz16IHu2FS/ZiR+YAKx90sSyR8cGBk8Z9im3Ty6wVcoubsFp+axVjWBoAj9T9/BcLcViTCWiKClpxa0oJrZdDR8xS14l6DDCNWP24yCv2CjHMDKsN3GIGl6Sj/l2UxlK4rp3LK7oSnFaFuR7AqojyROoS2hbUKvYLlCo5a2wZSPms2yZLhhFJifhiIcwVHXzy2RzUZaTDA2Dalux7ks4erIlDOQ91PsaC0YSl4fnGhzYoxTjHfl339qSsHADfvOWwjinKeVWXwSo6WMZ+fwBKB12gGjD7BSf9yHTD4SUCMW0s34ho7RlCHw4I626AtMEii2KAElZR0K5o4qxvO+N0zUzKMZaOVrS4tgVYpvysPFlm8ml/Z3X4AICQadUERGykR+0ENJvUbc8D59fwXa9i0xfQS1qPDl2UB4A76u75m2W/Rh9qZ47F5rO5O2FAnd5kgnx6inStlHMiKTE9FISUUuSSbHTMVsV6mLNAJtEbawRNR4egs3nBYYOTLutK1FnRq6ODbJoScVoUqImcfHqqAufZnW+ypE3kHoeCA+9Np7q4nmTTqTl3S2Ct98Gw+y47Z9cSdpbAosnMI2tPdq3WfpwbWGeEG2JDRLa/pZ+dJXjdCeszk2azEkkDjmMX8e6S1IPCYXKfBA/22U6U4TTsuinfH7Lqme5XizUKpW3RAfHCCoc0SgCxVR8BqHMlg8wHw3lDIwJc3cRZ3y4gxl0xM8A+CnorNmjiGhZNACj4UG/aVdXqh1G2GsltKq/7ABD4vpIxz2eS0adpCyJC2t+TrsAhiUOkD2ngiyII3rBFf42q7J+eFhhAj8Ejv8yKpTbCnY38VCo83Yit+hR2f6/gk40IwbhwiZWIJhIea+CbRvWzrNCJwxam8jWdSunrbFb0MAIUIdoL5b54OTGzvGiK0ZrzsFkLeQJzWfQO9Jq5kA9n0dIg8kjTy5stAWg4tGH8Js6j9EE+PXPn7gNMdFDm+DWJ56XlLkDf46waW0OfvbxQlTrNCZhCm19jc9gQB+5dSuxehoGvEpHhXEW522wQO40JTNOvaHq6CFQw6KT3duu2+5CfzXC6WpS/7J98v7gCymG3Y7sT6Rr1CPDOuYbDOvUrEVgxycJW6HEN+1ACUH3u7AJL8Gi2mrvsVKaY5DHyvncsVSFm7rJ3mXUO5xaCeZ9UXvFHe0kFZsEyebH0zqxFCYvEGYcMuMkyiozjZkRDk4l3T/CqLRUB51vHGxV0VUVgGDg8+je6mNG+mtLA0nm3ADgLfYpXa/Ct48opk5aWVvQqM+2z5g4vM/JzNyo4JnZ69qh3b4Z0uK/bIGchcKcaHccntUA3CtRD1lfPK/JK801q5Z5XXW1tgLRz73KZVOQMzoHmpRGvJ2m53PNaaF4LPkxeMjjAS7cMirMROxaH5ey6JX1me4O3UiAd3kMNZfQhP58VGrau0Ew0waGxMxGu2c443cgbrPivMctqERwAb1Per16K2wxTH58yJals47M5smqHpv09SZCtWLLS6giScUQt0WTbCowDz6xbqx90sIKIWOlTTddS0kKHpbAfbPsTKiI7pgUASDSl0anMAhiVUIsdl71gmYG2KQ+7MhF4uZJoNZGUwUYHq+dSdBNC0kSnoEQEOjwAn82loix0Nfakk7FKTMsVK48ezdkCkAGvDRFwP5ozDDPAAU4jc0ZE4VjTagVGq45aB0bblvGTNXEZsXrvlgGUhG23DLOuzq+LR6S5dtqeJDQ+tplBDDp1N/aGXVdmBmxgnU69Ky81SehqsdQY2OS/9q33/G8M6Oa8I9fZ8gR23E2DoTbpW80S1PY+9nIFeUdw3Gg743SNO+v4oGFaVuNvSRNbv8tCUzI8c74okYexDwaSDdRAIplAds9n8/LAxqowm4Y7hsdlut8Ep2bRsb1YPeur93sEYpCB4Wr2UmYGd6tCu7KXIm6bMwxdYuW/IgkEUmlRTFtAhWhcN+AsSB6GhJnxRvsvG00mwg5Zrx22MCoVh6lzPD7npcbpsllw4mz7bluJlAynz+IMKFLE2rYm1YdBTf7X4wHg3Ob+/dBoEx1gimyOKZuTUkZK1Zo8fl+3bfv069THm8M6fX63caUlNxG0E3IuPfKq/QzMoLZwduNxbWC+mhcoJc5Z74NG2sSFohaduEXRdjnt/ikPun8tAEj12o5FucAOOV15GBOiolMB61NxPDE7b2I21kZaIzynBAVOIwBRALt2JBifirKYKtLGg+y80Yz0RS9Hfv6m7y8dHYLPzqqKJv89QA6P+DJnLhVZCNnq1Qp07Rpw61ap3wcqbrC7Qp3ayjnqYMQZ6eCaONnQRZVajaRb6/4wL2wCHSTYI+emHkBsG1psgWX25TY4Uq5nIlVizjHavKng1XVgva/kLzDKNYnX1QaGrnOsFkBF6uf1usBDobhDouumOARzbnE7XQc62JfBST8XOIP82jq3uSnbikwDDxT0WY6aDj4DAYCcyizCAgtIIMCpOPfmi14O5Ix881YpvMibz9iQVfTEHmVLIITCXqmw5Wo2RrBBIeYo3DIDTREiGjyGHcJxo+1WIg0FU6xe3NWqZO0pJJ+MOqbtX4xbagkYB/IBT67Q3gzp5Y+UiBCoH6iIYyZ5efOzz3n3BokURTDd8EjvJcahD1UQgDHHfh5lhruMfON5eINHe9DVaSfVc4UlJsL1cic6EXqVyQ9y17k+cT6bu/AMAK8oA8o02YspTH8BJdHjTtBI/JahV2wWsQR72krloK4fp8/pULob0N6sRPZ6n0sBSdqImgCUxoYBVii3jX1W5A4wyzPCKz0fZYL4M2KWFUNXVgoALzLx6Ncc0qpEb46JeqRdHK9hww4phM9gRRAWPSpeH9kpvFwBs2mFQ5/XcmfjM/vfBlHPkRRoLA4UhYY5wGbZImRTDWxxeXd1BMnvxHbO6ZrYS+5J0plFeUAAxUkpdSnNZqVtSf/7BkMslp5R31AA60cI8djshTRHA01A7M02CgmqB7GnwMSRg2uOVdkFlhF2qg3nqluuR5RAxdWl2Qx86xbyjedrKpmxEYBCw9KoNnaWAFDjjpYoOpQWQmzUuMDvNEgkLxZaJbiClZXyuivbtmy/dvgAIANEYAa4g7LjCtcYMPwxlcTTNvzeklxG4I+4vktUBraKOmDPFUSc3O5ZvHfqxO1vGWzD7/gMmM5v+Myz/rlEv8aMAanA/GQiuiJnc9Bh6ax1nrDSoPWSwgBKAhRhsLVkqg5mzqSJ+6O01flW22feiQKI82x34IUQlZpx1sRW71672MwkYF6WODFhDkvMNY0UM2hrbiwScuSIBjHsoX3L3zqNZPbuBLyCvzieJCIqSZp1kO6rN6y/qURmXRAGN4cYYVDF9yplMjOlO5UihLbCMk19yqaDAIoj0pfLCh6iYplDBoY3W/LIih+CzGR1jgobUF6UIoyu8yIHx9uPT8SxVklTru9jsMoBG/TSxzkTbXwvRqE2FbaChIiFe0JUWRjlOjUepbIxSCxqNUdky8J18O11uYKZIraLnApW3dOXEMWwee34UBzsYJFEqBQz7jYdHIBPTmq8XQOX+NxHdTuKFW19h56HaYvx2HfddibSTdNW+mvNZj6lqgoZNALxKNYqh+zvyQTpkYcFF9XoKh0ceNsei8w8g6390gBUL34FD2jkGTUDHG9t23p62bbi2BNVUWplIVqwzx0LtrJioKpIckdiiSmLbDWqd2w2qF3Z9XDuJ9XYm1Ol9vdkms819u0RjU53LQp0nmsWjJYmkxqmCcT+qMblU01jKphpNZm1X4oRt2OhMatu39FjrKbWYXYR9RTApcWOnYPBUy4DmkNrHoMw4vVQuqBR2KprZJ/12gq57KXxZOMMJXzfe5DptRLqWBCL5/p8+6W6cXvehgkIhT7hGQ/3B9iEBarNRVpetAsYDZfuTHGFbWecrmOEIalTHkZy+IAOpMU0PXRdKqeWS+l9pgIzyCIh6Pqiy1WNL7G2lQn82o0HyZJyWXVENQKwVjQVGdymiQoJENXk80GLjtdeLP2h6HCjVY6iNMw0LQh/OQwWUCWsSs1LMUtrAsonp84h7jcTFMhiWgoHmtKVGU0jET8AxC6xfk0MxsibCUNv9Fk4q1bg4apfRtWiMhvw8zXYKWjB2kDtzsqwb3MAESu2RKAyUkjxZR+cdb04oBpVLkJWlngiIn+e/L4FrrjsI9UDqV1jE+SJovwKnVSR7zlUyI11eslK05qIg1V0/jQpXayjnnHVkXlgENpqA5DgrtnOwAvORKhoR7mio9D+vvTjMgsyjtLPaeFT8dhS26fehkOafJ8mVygrjaeljZGdV+t6GmvT9VAdZkkj0pYuvm4KIubbznsowoz7s9ZCgeKGrisUrr4yG+eCr5adAKlUzHmXXBso+i8d4PQx4+k6n1M7/yI1oEkDPjoAPnWrHmCqPmO5YIsWiZoOQU9g2xJuPsWPGHLeTM64GDciLglw1AMwKcymqdTgvJ2NMjGsSaVBKza7oWnrST9XL4tT621dE6rikuCQK+elpdum78AlinaGg94Le8b7jJzKrKgkcHy9ci5+x1gg+h2RGO3BRIOw2GbF2obtIEWsbzvjdD2iMbigaUq1knIZWTv9AgCUQWAmGFhXpoyqU8vJHLM5SZ1mzaZCEYo0nw4155TKdyrcNzg+GEMAqMpwiTQCzlsiln7lXEzaxEhiIIsPSIRreq68XG68iF5BRHWUFdvFlMPqvSjmhOcLxBJWmkxKR9+mAWMGfP654AxT4bGm2gnl09My9QVkNjJtga5xpTPBNycFt+46703G89Khoy40oUIZjPiqMj5Ka6OC1dK0BefYcimBLTmn65nWMTWNChgtfF0g4JiK+xathVSq13JxvFWEO5vBOw9rMUrFNmiSV1oCKMFC1znlbMjxGpzhkqR234w2Z+wbK6UmwZzT0aFcE61qjM9IHXCE9y0NwBMPALQA7JLTdYeQfdppDtQfBk9CDGtyxhbbriCVUyVT6I+JcToBT7gJ1Wpd4W9pf0+gCHMMWlHFS9W9tT5dTePHWRU0wCJeHoYbDJt0HmVRPZPPNYGnsoWuVTtT0ZTgcCtnFB1QDl0nAH+ZHLuOTtiw0c66Mhc8mbVTAy9XwF4CrZZSWOJMAXG4njRznHTliSjDgPPN44KDRuHwANe4bRl4ABQOc8rVtNm2FWlYTkWbTECUytRfnwd6+CFg3YGfu+GO1x1UvKYYGIjNWfVUwpALDAEAtD8rEMS0Bd88rqParqsidVCowvPbV99vV/NqUMqNnQ7J1azPWSM2WzMGyWSmznol6m3TphTkxFxDVwaUKNiuB7L1Pu2S7Y7T7boS8eiNdA1TNWokG0tHB+ie+kzh5q7WqkcrU2FRbmoqPNG5iSGpQ438Tg9dR/7Cs2VfLOLk/t12AtC0YkrI8RTKlGsLEDkVLS8WIotn08XwMqXD/eKowzWwlj3Qmn9YUtEy3HpdHEaIkABQ7SNqPPQz7J58UrzUk4qxe0KALyoZQ9P1DU7Hk3xNs1kOG62denLLzjnyPa3Ls22r6mhhgxcGmAsDAxqv1xJVKkzhkMFyBbp+TaiDLAMLn5yKwwkOifuDu13DJjBCzBrajPSMAmf4sc3kuk5KwE17uKvvmzsvS2Rq1RwdHMh9WgT2DZEcv+UGSCAL50EbjKbwDE1b8EJmf2k6Fepk2wrFz/Bfpbph2oJy6MfHWwIHY/E8IJHupRJpRPQwET1ORH9IRE8S0TcNrPMWIvogEX2EiH5bl71Bl9nPTSL6Yf3sn4fl/56IPqjLv5yIzsJn77jUMU6noP19n/6Tqu33ydt86xa6P/ts/cLvzUq5rgnSrArea1GYR9L+4Os2T083kwvTaYlqg36vPciGsZlWLq8K/zEvFjoND7haHiiQSI12SVCthQrXM/xZXrx8cuqOqtIjSFSy5n3IwrHrwAsNMEbsMOyJS9MR6CWktiYddX+mCeGKW1agodfIr+9iIXQxGxQj57mHQ+bFonbuIYPv9yqyAnovPa/WJVcwX1QUPz4+lusSdQdsuh8jdN1vZGhUFCnOm8s2cgD6nKkGs692elpXsfWMbNbQg2pcy9jKrF3FLeDI80Wp7Auwin/PmDPM4NXKk36GaVvFo88Q92alyCJajwv9INhlI92fBPAeZv5rRDQFcBA/JKKHAfwUgG9h5k8S0SsBgJk/CuCNuk4D4NMAflU/+1+F7/9jAM+HTX6cmd94W2fibU+oVH4BHvWko8PSRdYch3JCTWdgI3mkFKWKCTFkNvULDj9GJrxea3eCtiSBLOrUB1iI8LkQ7iPntRcdeLWakeq1u4FFy7xYFE6ntYuRFUrGHKidTdyPRUCx9NXOPzhs6bpRPs9n8ypxZZaODsMMYnicjwUAnpRsW3iZsnUJtgIFiwKbBEYrQjkbt2UgoqQEoNuMbmOSyq+ROhVLpKpgjq+7Xns/OjBr2/gWWKLABXa/0JsxhaRXpS0beMGOqZrmhTE0LHqOA7A5TBs8w0BmTBDam5XI3wYbZVp4RJ7Ddjj74E3tRM7VJDeBIv9pdDqHHxJAGYSJD9jcCdxiM0s7n2rAHOEFMSK6DuCbAfxNAGDmJeSxivbdAN7NzJ/UdZ4e2NRjEGf6p73tE4D/DMBfut2Dr8wwsp5IiStTTSbigAAYtUqmsYsaawoRX9XFYFravEB5ruVBKZzL6Bgqxztf1GWzTRByodJyZyMKGkqYkSl+aeku68vVpDIVXBVsTgooNAsd4AsAGwkezzKHdjwWudvUvbRwh4qzqFC6fVcdjvGB/ZoMJfiMotaTwPJrExw+W4LNiPsWBa5WHl379bOiDecqD8AJdn0D66DQxMiZHw5Zabtwh5GWHdL/6CHwbAqcyrWRMmeqYA0OAwJ3qKEanTH09Qe8F9lU4Rt3iqUL9IYFHN5YF3Kp1VGvmjIzUa1egZg0klU4iWjiswvXeZ5MhG1CCQlwSMy5x4nkHQnRcnlnsrRO0m1gIqXQZEUj2kfwQWAuAJeLdF8H4BkAP0tEXwvgCQD/BTOfhHVeD6Alot8CcA3ATzLzP+1t520AfnFg+28G8Dlm/uOw7LVE9AEANwH8n5j5X/e/REQ/AOAHAGAPB54gshewty6QO6dv9ZXy/X0PjseYBU7AV+UnKxmOLzfMuQKh9Tl5pCVOVretkIMoYZlOqkW8XEe5Aw7XCxMm2jLm7KwUWlgybW+mD7gekwmPa0TmlC+gdjSJkK49JKW2Vmxg247arX5hi0h6v3DCcVTrgxaimuremL5uyHabkpo5r5Lpr/mv8jvX96Jv8XoCKrcZnJhH5sH5ygdl8AyzDj5eu3OjpgE/e8Nxcy/UUGZBVQhhVXqWJA2sBDv+NJs5rGQiN5WgD7N2fLau1cHBRXPIiJyuZ1rBDivZcShTIbYbKsfXVLKYnPVazWYiWg4AWQeArgMdHTkl0589v8YlMUcTjZqtpHi9Bo5Pdr781+wymO4EwNcD+Glm/joAJwB+ZGCdNwH4NgBvBfBjRPR6+1Ahie8A8CsD2//rqJ3xZwB8me7r7wH4BY22K2PmdzLzo8z8aIuZZ5K9l5b93t+Xl8IggIFkyhAzwFrwAIpHOdG/LT+6rLyEybFXK12V5oZS0USHB47rWpueIjCeak5vVGbSDHQ6PJDuE5bksGOzKR0gUc7LHpFEz94MrGI1lZPqjNrEToejVo7D8dK2LbisRtOuFxv5plFchrRjr0E8ejxbxUsCod/unU/FDSvV6jVjMNg2w4NQltk1OycbHiNKL/SI3wV86u3PUDup4QjOZVrcddLQdGUdhEtJtTs/sxDNFTlJ9vxDaWQZrp/uQ663dD7x7tV2TAqzOK3Rknk6hU9HhzUMAoRrmT3Z5iXwgWLmoj0qZ+r7Wa9l5hjuSX759ZKobVv50ShZcgtdjXmb5Gqve8uu22Ui3acAPMXM79P/H8em030KwOc1+j0hot8B8LUA/kg//1YAv8/Mn4tfIknx/y8hDhsAwMwLAAv9+wki+jgkkn7/eQdJU4EQ8q1jeZmuHQEnJ0UoWytlABRqmGXgjXITp/A6PaV2ItDA2bx0UdBKrXR4AKZAbreEkWGTy5UnuEREhf1Y+axQqtzRnPPg0XRaOMYxeWIPtT24XgwhzsqUwYwHOoSdMZNEOMzeMNE7LyhkY3gegJCoTF5lB6BMkw2SAaqEoEzPg5OOuGcoUWaoU1qvQSmVCNsKDKIu8gAntGhebEIKzoeFOvaIrdq5hYjcy6Sd2jRM8Lc+aKwNJd1SErqdJ1+78jyG3IJjp3Y9FBLyZGqC3KPjk4rC1dcVAeDXy4uDOAPe0ToXKM6qOKco91mPmXIu1LPMjt97o0w7B0tWNw3S55+X7stZEox8dCDn03Xg5SI8n5J8I6sSnC+2D8w7aBdGusz8WQCfIqI36KLHAPxBb7VfA/BmIpoQ0QGAbwTwZPi8H82a/UcA/pCZn7IFRPQKTbqBiF4H4CsBfOLC4+xEXs9bptw6VjnCM+TTU+ny2lfqqjYQyOSxQy1QolBmmT5prXy+ecuTGnxyIhq5pvIElNLfs3mtpKXTTC/vNBiiV0prx0WJRK/VnXfg0Nr609b/5pMzcbinZwV/NB5sP6lERt+yhIdElxwSJug6V/ei2cwjRCf9W9QMuIZFhc9pFCn7GHCYxvkcsg0BGnHUpWS3dri+7W0DmDoj46a6ZoWVURvzwqJ8m+001jOscSfkCaEuDCLxXGyAsYRn0HeITh5Ukq++HesIYf3p9HpxyFn4jAXFGYaLW5J2c+05dxb627WToh/is4XsA0NdvAEfXKtO0JZctYHfZiZaok3HpwVWM5aGlWHrgPcgOVuzy7IXfgjAzytM8AkA30dEbwcAZn4HMz9JRO8B8CEAGcC7mPnDAKBO+C8D+NsD2x3Ceb8ZwD8gojUEbX07Mz97mYOkJgk3cNWUzqpAcVIAqlZVuXTUdTOeqJlRxBIV7EsdXoQgAJSXLJUIhlFwTs9eW1ILKC+hvpSDGJ1helYy2jSC5yV76TpgbS9J41igJbeS4oB60rJfbZcTnbjhyjI97CV2rALPsOHobAC5JppQy8/dKA7Rrr9F/0Eo3BkCdp1bUTiz2YdHu3oN/Pr2CPWR7G+qa37cPViAWSI04npwc6dtlVYUzi3go06D4izXnZvyfb832Y+14nWbc9WZh7NlwvMAoM7qGwOhZxWHusKiN827EacyyCI48kqw6WBf+gj6oFW/IPaOgag8Q8pjNgivzCQ64HAfpIGK0AmTBEd7e4VKuTcrCd0HwC7ldJn5gwAe7S1+R2+dHwfw4wPfPQXw8i3b/ZsDy/4HAP/DZY6rstUK3CXw6mz484EHc6MHmkYykh1OSohXhgNQyPH2gBgdzJI/jXUcntVZ7wk5HgoqTsCZFatVPCh1OMEB60tJB/tFTzbSeuz9MCZDTlqirOvE/cTqL2gE5y29e8kuZS9wl0GvfBj47DNOecvHJ+UY9FzS0SHycyYGFCqOYtJI+8hJgUCBZpi1iwSZohnB2n8bDFDpC+h1ifcyzjAqS2WGQJacs0FOBxubOvu1bdreNlIRBwpWSWlaRLu/712KbbtJHZQ5OeudBqCcOwC6dgRariRo0MHFcGJPppljj/i/XQcbzGIwYAI4FrUyS9VY0xSsdiK5B4Tj8232tCIq0XqDJTKDkQVOsEGKM2jeS47ZDA+QJByRBAoPkO1ORVpMEtj/8YUPmfENaMFw3f7UPmatw3eqfmqUQC0VB2q0MuvZ1XUVt5MXC3hSCqjoRBVPNRWxG6FrzTeTIPE8gcLf1MHAj12nlKbPiqxyi/YSRpUr44N2XXFE3QJ46jOKOWbw2ao+BiseOTktWfeoMjVgji3HhJFhhdABqSEANZ3KllfLbPYBi+p69zg4WJ+FRIgmbs9pXNpdxKq59F6DwjMV2CT+vWlw1uqASBkYXlHGGZQmFXyDlKTFzmwK0BlwfFIYMC7mZM/H9ik5s5ZnP3QdOJsLtgoUGEevofFmnQJ5sI9sEW5KoiHtib2Aw8sG6uuK7Fxfnz2pzKo/s5ZAPDkpDl6vPe3NCovhAbDdcbr6gpgRTTTSKqM0+QM/7HjrhIlttxYT584iqZVo+Krot1NwrAprVRIVZXkquGxMVqXAevB9Jo/erAOvd3qtjpsAsGBny07ao6+WPgV2PrFRsHT7MVmIMB13IRMO4uyagOHVWur9V2Udt5zrpFkiVER7gy9C+W45heL0Nhysb59L5GwWBpwNmmAq2rFkzBIbTKJOg0EOFlXSpDA3oAnMg31gsRDnoJrIQHH2hVaFggWbmcPqRDuC7HoYds5Fl5fXa+DWccV5rqAGO/8Ujt/uj1knAkrUe45Fp0KCgnx6qqyHlRfU5FvHxWEaR1eV6KqZmCVpfds6UzGGQzsB8lqi2HZf8gv27pycAikhLxaSTGoaSUofnzxQ8MJlKGNXx0KJKoAN1kI1DYuO1f425kGMkEMBgzsad8AW8VDVO0uw28YTK84CMLK69RprW4lie8mceD40nQqeauezweEt/8e+YhaFlGST/ti5DiTshv52/ux6vfkdux5Z+KMpCMj7PihVA0V1DgAqYZttFuhVNhhUGsAhyrWSaTk8KjhvYEnEJJFRxtL1IzSvfIXQ+owSuLcng6pLgCand9Gkral7yfSXl+JobcA0Wp3SugAohSoottngsQ7JqpB0qzjQvt1QVp00WgznylYtZwOMYbrhHjOzl5xHBorfJ2daFGpfKXQJ78Vi4QM37QVR+qBN4clC3WbWGR/Qm+09ALYzTteaS1amkabzWO3HuLX2XcURAXjSDIA/FNROMHn1q6Qb8HSqcMSmyLnvK8oZNkUmj9pJcV45RER9Z6b75k77h620d5gVgDSN8i5DBtwqgnInOKxFOoGf65izOo60v1cPOH5BFGsMWLVX0Cn/OA5KRtcrpaVlv+Z0ahpVL4N/GRu4Rj47CNF1ZIBwz7kXTQguEE+rzlMLG0gHQnOykpgMDkZV4KxaLZaHe4EBkUNQ8I4RWeluLGL5QNEiCLKQdLAvUolWkQYEdkn2ZGcl5BQgiMhQ4YUMAN4hxcyegYHSdit35k47HH/xF0lQUbFR9By6DjzX7tAaGHhy0BLNXZbntMvCV/eZl0JchoM/QLYzTtcTDAPTXscXYyRpUVg7AV27VgjnQHmJm9LZtHv6GZgOLLWTEk1pcYJ1C/Zpo0Y8hgl6U8vA5eXlykVZKovOyB7O9RowYvpKp2+U3CEQEbDuqsjLp8wx+qRCUYtkfKBEORYtVpl/e5EdqgiQASBTxAFFrX4UG2lOcd/nWuTODjlqDknLsI4734gz2/UJjhOAJB5PTrR6ryuRqG7fZ0w950P7+8IOoYR0dOj907yjg80ujD6o1Ys8lzLadHDgkIAnpdrgJMOzIZF8SIrFaxw5ydoRRZxe56JIlbyp8Wt7A5NtL73sEVnn5nH9fMaol7Qby2xagoEcZiBE8EadqjxGe7OSiOuylsdvx/530XYG0+Wl8mdj2SkwPHU1MrfKI9KkAa8Dh9VKNo2w7tNYwWS9YscdeKpKa8nW1f3EklsyXNf2g0an4IDTc8wJhikZdxmUV36uMtWERrZrcCpMg41OA5TrjLXxPIccIgr2DRJmA1YreFPKuJ4xMuyFM5I/UGOPdo2caoWSyAq2wU4IFDEvAkgEQk+L1vYXYaS+toLvpCQnpew1cF87gA4OfIBDZu8RVhJvC6dxRW4ttRMVU9JqMivT9nuVkPReenI1RJrMXHSET24NP7eBLeIFKDYg2f0J1YGm00CrMhNDY7mGhDzP5RnUa2vXhpdLQPnlfn1tHxZtewn6tIj/AECL6tywWFT/07Q00hR+cd0BZNdtd5zuquBu0dkA0EgjrGwP7mzmVTFCzWlLIkSdBBnZPVQyISX/njcm1Cocw0+tsoraSamiUiqNSUn6S2RYsEYmvAqZfWuhYi+krktdJw+yRbOTBjxf+1TVOZR2yg59EHIfQwsOKx0daomyfrZaOfvCpseF89zVrBHTj7Br7tsPkWgviu+v23e87uCDY+EE59kOJkT72Hj8WMV6eLl0vV9vzQ6ADvcBq5CySNIglQ6gh66Dbzzv02cvJdZI2nUqtBJLtBK4cFk5FbjJjtFaPmkRQ7n34bmNDte+5897KtN2L1CgClKhJhXIoy/1GLBjV5cz2MyKOkwcX1Ys91SvgUFdUgrfCXMiFFYQADo8FFiCCk0Rtr0HyHbG6VoLbX/wAOF6xjLOnvHpmTwsNt1TfqI/XACy6ww0JepLQg2KOqeysiZ6vO+YTM89uw2oKtdEppBZe5WtVqCzObL1mYrYczlBMOt2tBMALRYFR7Xztmg76qhalVHXSbJrMvHW4XICgU5nx27JnbaVaN2EfOw8AdDRgUd3Gy9OP3tOVLVoqSuRgqAL1c7a75V9llIplrBy08yAyTWqo/KWNi4O02NFhMFWaGY6K3n+VqCSNaV8d74Qveb9PaSHr4P/9CnH6W3gJONgW/R7sA9+5Dro1qli9LkMvnJSNXywCC2FrF2Trdt7fu2cK52GkKwlIlEos+s2m8lgYoL5jUk65uq6c5flOY0Ds0XAQd7TcfpkgxwBywXYyub1+TJhHF6tRYlNt+cY8PzBYS2Y7YzT3UgEGQvBnKQ1BzQcS7FSj0ZXazBWJXl2cADqOpHF03VoNpWklk55PRNfRReyb5q2QCt6CUmjHCkbzRoRdbiQFJ4ZNDPBnD1gPhcooes8aQPOwIrBkRrWNM6g4K6TVulWxlnR6mgDT+PlygcXZknK5SCcHctXI3XKs/Z63JXZrCDMIPrnaXQohxGMztZfxzBZi9iidgbgRH86OpRoKxL5Q+KtjyTzai3H1yTwXK5V4r1yfrptrDtQNxeNAYNUUoks0XWS0FyuZDC9eQK+dVyi5SaVmY919lCsuVLAc4pdu8Hl7vPNY9KtGrjidVZIg61AJw7Wdo8i7BRFaIxP2xRRHtrfL4JPOYNX2i9wuSw5lBy0OPQ8TAHP7hNjdLq7YYkQoyd0nfeekge5Kd1fKYlTmrFzGDkLXkV7M6TDfddL4NMz0HQq0+/lUqaFhmOmhHTtCPnG8wAaj5yRZsVp3joGJy0AUH3ffHJSjkXNXyhlMJDu2/m+zCUabxppGqgqa9yl4tyY5dyuHUmSbblEvvG8U+kq+MGSZko7yqExYeyaWyW1FHrxSiugONQheAHwyqsNi7SwkCQaWqdUNA1vi7sMfvaGDpRKYzuTPm9Weux85D7uHPvURXEdw+2ffa7sW4VlKE1KxGa6Azqd57O5XuCi/esVe8wyMBCB9vfRHB7IPi04sGvcuw4u2GSMElsPYSAN/Gh0HWgJeQ7XYRZWXbOumo30k6LM7B1SjE7G67U6Z239NNARuDRd1RnafAE6EH5uPj3drpGxw7abTlet4mZCnCqT4LFWagqgNDlsC+WM12vwSRYpRcPsUCg1gCYElPANImC9Fkz05rEolK3W4Fu3kM/mSJlLtMUs+qGOAfcq3owpoNxNAB6JeJRrlUR7BzIgnEjZKK/WSIf7om16ciqRzNncX/R0dAhqW+Sbt8o+ey9ovnXLaUV9vQlAohwXNNcIm3KhNMUIdUNDN0RUssIAG+E8xxuc5JBiWnU+ltDSe1XumYr3OE2Q6vNVNgJbx+h4H4KRYv0uvgOBkEiTcFEgnizCVbzW8VCDKICiZLe/JwPY2byihvV27vCDCY4XMfDeNemkQwolzSmYgLnRyRSCcSoX6/1pSuv2uC1oIRDp/bDWSoPH6MnMXKLt+fz8Tiw7bg/EmdcZcXLqjCl7gZKXu1bYL0uVlU/l1dGxZa5PTkt3CJtaa2LGSe4IWFjTIEV9gEBx6rfFruha1iWBpC04JhOPoCSDPPUSWpq2oKMjGH2NF2unI3HbeuUTzWb1MQAVnSryjNHo8Rr5XqN8v55afVcJig9dezs3IrBhxkO2jUamUTYzy8xlKLmk1xmAzC5WS9eVqJJiciByftaKxhTj5otSuLJYFOyzR6MzSKISvAdKQo0MShlgWjhX2ah9kvx07vVyVY415xAdk0ezUtihNDbTXEiA6YYYjIbWihUWhcrWSENVPjuTa+kJYxSMPnLN56WJqUEYMnAEQR+fDSWP6P2+NT0hJnsOzikV31V7IJwuAIcczCr5xm219ECZ6sUMrpHRY3TaFWpOqe/Xqd1D14sWrWelS8TKnby41HXIOh3z5BBTSb6YA7NtWcff3Pk6zjeeNKBHHgKee74MAPb9leC2Gy9pp8cXu1tYCajRnIJVmHCkivUtFGpwXm+PYPs0s/7n6CXghqLkSAlbLAQKCt8XfBIweU3h4DYyG7BBcjqVohRd3yL3oa7BMenqA48xSyypZ1VjRD67QvyOYfOBUucdJLKJ82u5uQ1siXzWQLOZMyI8iaczDmtTX5U+d7mUlGtpdzo88IagpjtRiklyOX+gsFbsuVwVGVB7RmgqNDI27LbrgHUp1eezM4XQHizmAvAgOd0hozqpUyVkoplz1CjDRJ5NkMXUmni5lFJcddK8XAmuSASetuWhzVwcsxV1WOeBXjUVZwaWK9DLDoFbxwWeiA0GqRRA0N4e+NoBeNaCFitgvkAyPPLktAjdaMKMMhcupmkChBfZhFoIKFCC6UwA5cVEoXdVFrFaYLtTveizITNqVYQrOIOm+6C9PcXXUUMjbWljZE6R53OHUWh/T64nM9LhQdEk6FBjwDpApKNDT0xVScrIOthyXl4eHnMPgCdqq1NVNgA1jdwLoyoCLmPqwjwQ1glB7jGv1gIlmOatOndOIjTDC60c0/uMRgchL6DIvfdEgw7T6AgzAL8G6pR9FpjzdqjkAbMH0ulWtfew6piulHDGaMpwLaAIk6zWpZuB8Wg1wszHJ5WDockEmE2Rv+g60sdVq12ZE2RthCwx1sc/I8nfKEwItKvlSqakZuZYTueSNZ/PAzfT6D3sMATaqXYLFhxQnGqhjfFqLetp3b5HPYlKxtyEdIaKFfrO5qJoNpzDxjq973nmHl1xhvbdrgOfnjrM48I7BhO1E9DBgXRhoARezoucoSXEOilxdWjH7ofNCiyhaAOfHmMU1onZf4s4Eal6OnuphIIGzBNjHeRat3rvotYwUI4TcCnIeoAvFEepyGurvIE1AaicPyDXQJO7lWZJHxrwY9RuGRDcm7QCcht3+kGz3Xe6F0VY9vKE6jKPbLNov7JicvIi6TTfxD+CqLctA1Bwv64DTk7RGO0o7Nem5PaCMoozicaZwbdulRbrEXvlDIRuxPnmrd6XizyhW9uCrl0Dn57WwiNBl8C/Y9zfWBziAj0WxebhKHebxXPsRY4by/qmg9BGhw37XuYaWw5l4Wk2E74qAL51q2DjBiFFTFI1DASC2YQxXMoTkCn6auUDEVn5bzgmo2HFzr+X6prQc1ROuVqvC0fa8FijDarzY+MMG0brEEN27jUs+rRBwirxjIOrlEt5nmta21DylxJVWLso0tHGuUblvgfNdtvpXmZKC3U2oWwS0KmavbyG6U4LZzKq7ffpN7JRLa9U58STUBrKmvSyKrNlXQZZHmqr8mm844K/zH1esjkje2ns88lEqDln8zIlXS6ljdHxST1IOPZaWsTEqjiLmEzFquq7dhnbFs0NOVz7O84avCot1dNxjUBNOD0OHn6JplNhBVgreT1nXq6KI8llEJHKtd4gapVuOSleKlF+v5DAet/5sYVS5L48o89aMHBthpySObfYnDKzcIMhw693TeHsyULHgS3y9QFbV7WEsLFsoHCSJeqAjYEu9gOU3TE2omFg4/l+0G23ne7tYIQxMx6dLxFgHV4Vo63wLSv59AXJaV2+vZNTUBYlJqbsKk6eVQ/fs23yeu1TOt9fEPkGUJS9VkuBArQ6irul8IijkwZgRSLUpCJYfY6VJoqpRPdQmOXaEbBe152GX4gNwQ6RzRGryCDULAYK42La1mT+aEYfO5uXSrzJRBKQ0TE3ASdvRJcBgWrm5xq4yoWXrAmr1apwXZlRJW/1HDivfTtbB6yIlcbFXQfqGvBaB44VF4c5FDnHKN3YG8oRFxbIqjSytFZKBqFZfzabPazPiUwDA2ewDdbgOT54STRg153ubVqF9VYJoq4kDVZrrafvVXKpg3LZw0Bgj1CEUYEsAdZ/UYTSI87SEw+BSYHZrHSiABwflmklF3lLnyJrq5ilUKfS9SPglS8HffLPUAm258I/Zkik3Lzi5cC6E/Ut41leuwY6VHHqvphM3y7jjOM6vePZdMK5drxNU4pI+g4nOtN2Uqb+SqOrko+JikqcJX3OCpfU6Flpf69EbU2D9PBDHjXT3p4MQienoFUpHXfqXnAwDjFsw7d70WOFp9ozuVqXAcT425pI8z5xYds2AzIZS5rNwNrLzoSQbPZC+/tAPoWJmfNqUZWaDw0Gfa55RecbrbIHy+lelMSxdVCme4yQZAoiMP2Or/aCbTScjNVh9iJ0+uLFLHUqzRJFDCc43ZgltmmiUc1MWBuQ6LPrgMnasUrnFR8dSkHG2Rz0zLOaHFxV03BmKlBKk8Cnqvu6vw+Qthkypx6FzV9opBsd7YATjtQ0Ctfc8cuhl1t5wE63smgNqHjI/l3r4mDXyyhflIDVwgcdKMOB9vbAB3vA0b5g3M89r/S93mDcazjpGg12bgbRGLxg96J3TQen7Aph0f6+LOw6MEmrHuo65OdvCZ2raQBORR94vdbqyhaYZ8d4pcItKfdbE2pZBm/DqcXh1lTLCs8dureZK2z9QbdLDUVE9DARPU5Ef0hETxLRNw2s8xYi+iARfYSIfluXvUGX2c9NIvph/ey/IqJPh8/+StjWjxLRx4joo0T01rt0rmJ9ClPfrBIq/k+pioJjzyheLoUHa5GGipyX7+vfRtNZCV/Wu7waTqjTVF6tkW/dKt0ngJqQ33XIN6W9PM2mEnlevwZ65CHw/qxEzyGy4uVSMvWqe8BnKjytHRLSwQFoNkO6fl30XQ1TvnVL2A0pyTS7lWqi/MwXHOqosO07sf61jj9AoMiF9aJqWTCL8iIZH20RJqpodnZPALkvQbvAPvOSXIvwbJ2zuVxrZtB8CVId4w1tZBMdt8FEf+x8orpXtI128jplZ09wqVLd/j5cFczWXSy0/c3SB0ZeLIQXO18IpGLJLh/wVex/NvMKPl6ukE8E9zdR9tJGyC645hyMymbC6E1Ts25Gq+yyke5PAngPM/81kjbsB/FDInoYwE8B+BZm/iQRvRIAmPmjAN6o6zQAPg3gV8NX/xtm/onetr4K0pr9qwF8CYDfIKLXs9cmvkAzWgtQ6D9D1kvi2O9+8si1dSPNxtdPVYdaF7G2KaAKQaf9Pe0QodSdzIhVTP0OCB79nZ4p1sqOUQoWFxyhVp1ZLzTPrFu0bkkWpVkZpcycg3dI0PbofBKYEI1GnkGL4bZYDP0oOUa15hggl6JUQ/WcdIdyT63kl8qMwa+/9fpqW8/+R+aGX1ujluk9K+3ERavBZzKf+7wkFAGkQynFTtbLbrWu4Y4+GyPOpuL16onZbNC0mtK23WGCo0MvajB8eaPfmBWCxEHHZn2G52pZsss5BhsU2tfjrf41iE2LbnilUfEY5VZ2odMlousAvhnA3wQAZl4C6Dc1+m4A72bmT+o6Tw9s6jEAH2fmP71gl98J4JeYeQHgT4joYwC+AcC/uehYb8sGRLQHrZ9pNtK34X9Kijf6lnXeNW6iayVYFwlLpoTIOeopDFHGKuMsotEeaa9KEqX3YnDXiXaEOgvHbFdr6QXWti6kY7oDzhduGo16G6GhdZ1AFHrMNk1FOxGnoMwMhMHjUtc2vozqOJ1fi3rA4cw1LxeQQevoUDL2xvIAgK6Tkmul5hEnYHpQjr8fhbnDl++yOd5IPbNjBrygxMSI0E5A168B0xZ0eibaFjrgVXzrPqc43NeqIAbYcLjUNMBUj2u5kuTe8zfLoN+/ViGvEFXppE1OgK/seLY5xoHIu4ISgrA6D5Vlx3VcC/jBE7oxuwy88DoAzwD4WSL6ABG9i4gOe+u8HsAjRPRbRPQEEX3PwHbeBuAXe8v+cyL6EBH9d0T0iC57NYBPhXWe0mWVEdEPENH7iej9q8vIw8UHZ+jBv8DZOe1GowLTbjCzNuamTZBNt9RUuEygXAsKTAqRiKRR5XI5mKAwQZTIjTTN34oXzHZcXRHDIREe58WiTHPbqUSvVuAR+MLSlHEqPN6Hrwt8MSlRc9aKOKzWJQFo9DRmyXbPZpu96s69sL2y2vX6XP4qx2jRCPch0Ujak8w6boAUHtLEk0tXBszW2i1ZgpJms42oNO3vefNHX57FceXFQhXFzoDTMymqMLzeoCFzqtscW+86eK+3oKtMh4dIhwfOssg3jzfpinY+lmSEwEv5bO4QAy8W3kjVoa2B4xqCOezYquOOs5IBDq/fo1Cc8SDbZZzuBMDXA/hpZv46ACcAfmRgnTcB+DYAbwXwY0T0evtQIYnvAPAr4Ts/DeArIPDDZwD8Y1t94Bg2PCIzv5OZH2XmR1sM9DfrWx873LZsyDQJU72IGimV3lZZpq9c1uGzM4cSSDPGdS+27HhaJZ+I8NJZREapftgzFwe+XovDtyjaHG/QgHAVqdXSoQN+/qZO5TUCni/kHLoO/IXnpKLNRdunwoLoT5u9IIHLCzhQTHCu3W6W215g5SfzciXMgoDdUqM6Gus1sFoWmKRJor6meC0Ax7fhSUKuB2UdWOw+bpg5t7M5uuduIJ+c1Ti0OfeAzQ9fhs1tU5OcP5tvPC8/Z1a2HPIFtp9EIrwfCkjM2efQRPXCGVU8HtOY3sa06FP7YvFKOF/O/MA7XOByTvcpAE8x8/v0/8chTri/znuY+YSZPw/gdwB8bfj8WwH8PjN/zhYw8+eYuWORGfpvIRCCbetLw3dfA+DPLjzKkPk+78W4rRc8PGQm6SjCMTUOJ4UT1g21yOtxl+UFUVUyABu4p0ALoRjBbOA4aTYTZ0zhZTAFfxUd8dJU7fjgFUtERflKdXlt33YcljTydjaN6J56csTwbBtkSGGGiah0WVR8Ry21Y6cMSxqelxW3rwUthaTFDybiLiW/U8e8S+NSLudj1zMr5h3ahPs1ZtF+zaenW3m1rK1/Ngb9yMiw5N65l2EzUuTlCrxagldL5PlcItX1ujjRWBHYr4iMMEOkkN0Oh92Kb+ynvzzur9ciyiJ8gVoeXEgh2oUeiJk/C+BTRPQGXfQYgD/orfZrAN5MRBMiOgDwjQCeDJ//dfSgBSJ6Vfj3PwHwYf37XwB4GxHNiOi1AL4SwO9d6mQOpX318IcD0e3tWjswbVZ6FRAeuIjhaUmtLOcNvNN7W/UtOPZ0uC/ORTm8HkV52SrVyR/Ay5JJp8Wmi8rrtSxrJxJ1t1Mv8PDkoO7DM9a+j+IY81e8Bt3rvkSimkkDOtgDZlOHNe6G9R2QZckrfNBwdivxtUHM8F170Q0O6joZKJLMQNJsVkSKpi3S9WtIBwf1PbEsvTlnux69mUdlffpbXNbfRh9SCuctCdYtg1juwIuFOOL1Su6vOVmLruP12nJ9LzR7jrfpJ0R4ofc9h1Qe0EKIIbsse+GHAPy8wgSfAPB9RPR2AGDmdzDzk0T0HgAfApABvIuZPwwA6oT/MoC/3dvmPyKiN0Kgg39vnzPzR4jolyGOfQ3gBy9kLhAp5rYH74a7jTN4uxamz5Wco72IKlqzUeqYCC60ArgGrQnqOBRgQuZJI9GmLZVnUZ0pqxxfEJ22hFfpXVa4pDDmQWxTkxLoYN+vGe3tucKW044yA5RLpZ1FyhOpZLPqvPTHn5ImjYCsZ+evUT1fIOIyaIYPA07eqDL4/SjLbNqC9vekLQ4zCCTLVHvAKwTbiTjmGEWaI476F86B7e1HlbuqNvIvhKd8DsZLyURiLrltZhiRnNGA6Bz8+A5tqCACgDzn2EywjQ532OjSdfP3sV1PL+e/+Mh/CgBeIXRXz8sSIpmLupaalwX3X6DQicG6EnhnXWhU3BciYZYkjk3vgYr+ZRqotDernHws12VrS2TQAoRexGea3DEhc9NTNZwtcF+tw6wdH107Ar7oEdDJmfB99fx4Pi99sqJZYvB26GN9s5c3TpdjEosLoX9j/4B2ApHmn6UXmQkXZWeXIGkxQHSu8T72ld3653QZp3veOgPVZ14Sfrem4xQw5Y3Pkl/Li8rCq+/IAftxy+Kew32A4YTf4MefYOZHhz7bjYo0ltYorl0QKn5esMVkSgpqSVFFDNiMKiIfuOvKi23Ri2XYg56CV3hN94QzqcpUdk4uD0ipgilcItL2m6W+n/ZmnoRxIWmLmImKPGCSSJ0AgHIpCVVHTtMpcDoHP3tDIsjDA/DpXI4nFmK45OQLdLh6vt6Usa+pkEhoc7bubFp6kQFlYDs91c7Lk6KmZdQwE+0xeCKaCw2Vct2+IE1UC7vQetQ0fzZtEOizBO42/qlRMGe4AwZQErVAmSFdxvH2lc8CQ6MURTy4Dvci2w2nS5CHKRcy/wu2oRdlaNmAVdOsQAw3J8jWNsXKi41jSyQJn7YFjg5Ly2o7TaM5xf5SVuWWpN21C083IallWO1s5p1qMW01QZaQb96S7L2S5n1gUeebv/BsETBfrsA4rauOACA1GlGfKQn/gnsQo9Z+8QA0omThNds5xbZH3p9tsRCerDlOg1j29+QeWAWeJgbNmWMlJdCx+3B1TzlLIUaEEUyDI9H5ENZ5ka9F6V3tbF3c6MWOECMMEZywX6sBiCB2HrZj3dyuFXYM6GCMVtluOF3WTGmjWgPbXojbMO9NxX1HG0jy/Resp/W6oba0WsnxadRFs8L7dH0AE8QB4AIsStuSyjEG5UU4v8Ydt2sH2P660HI+kQibZJlm862FOGBKAh+czcGrhQwMB/slAoyiPymVBA0RssISRAnIa7AFm5dJpF2EiepybzljDIqIc9pApZxlKR6YVtFbaSdkM5MMdIsy4PWjVYORrILL7l/O4Kgcp7oHW89rm0UhngFnds8dVoyCbdHApO28/y/72Whiu+F0AS828Cn6nVh0pBTq+w0/VD1X7pVuOnUmEYCmUNfsnbRqM+XTAorDAhLVKtE/NsH0RFYu032L9oS+1pSyy1e9EvjM06VzL3R6bkyChgp31hI0Ns3sOvDpuvB9j0ufMJiGb9TS7TJokgGkspyziKLfulU0JW7TSmdeTQJqV9z87A1Z3rZOaSNAKHKGOzeNqHwlkig+swi6NHqMqlewUVllmryRH23Xq3ouSnJ2o0LNLEbC22zAI90WdWu0nbDdcbosTfuqWvvbsfjycdAOVYcala7crCAAOL/Qol+dY4Lpi4W/rF4+3CTtvJorh0dNiWhpoiWnXYf83A3wZ54OCSd1phYVWicMQEpVJxNA6/Z5IQR7gtTw5+OTIoI+bYVmpfX4nphTpoIk4oR6xfOFJn/y7UE7IcrvN0NkZpAJrwMlgs/a3FIjVXPGWEnPLmFN6ECFQn9z7nScPke2hGLh5nClkGRdEqem6GWwTR7QVthW4jtk28plR9t52w2naz5OBT1um7mQuZSNBkpYZCq8oMTQOS8Wn82r6bizEnQabTguW28ybdPNJ6euNAVNaPHZXL4T28UAZUqctUuF6SbkDGv57boQTQPaa6XkFxLxUjtxdbQogehk/6YRnHqiSau8yUfeMGNYmPSlVUqZYweA/ZBQHLivNtBGwR2YNKNdu8kElIUNwiuFSiKX1S9SqKaz6kPDdRN5UjSWfleMFbsWcdltRr3yHcKdzBRGuzq2G07XLGKJF7EX7OXw6KRXztic88IMmb2M50kdVoknqjszGAQRWQlNA0xb7dbaIZvItCW9FGPl0zNXMbNkog0gFBtKGhfVHK5TzJJOyzPSwX5hISgzgWazEuGZQ2gn4rwB0MGBQhGyHe8uPJAgs2vLXRaVMmUa5Mg8UXNesnJtK/qYCahHyl07kY4ZQKm2W69BD10Dnc1F6GegPLU+1hwi23LsUdDc14/nNcS5tefLT7yX4R/tgbQdcbpUEh+xDh29lzjoIsiHqZSBIjjaVOQYN16ci6yHEQKoqTgxgrYseJclYlPNgBjR8emZO8hkL/58AXroujiIk1Ka6hqyqnNLB8omMEUyi1QNorBEkpYQN488rFoLBRfmrvOGiminSF4KzVL2a9rAgCcBTdqPiED7+w5R+P1oGlDbCg6bO2AyKaWRxs7osgi0BIyaTZJQjaatVNXZgLNal2sxnTqDIj/9eTku4+puu59GDYuDsR+X4sdxxhMLYIac6J10TqDk7ILRdtN2xOmqqfMwi1q3myyE4oBjTyt3NL3Ks3NtQNh5w4Kz3XD+No216NSdf6oKKgDj8iZxxibQYnSqVqfrpi3AWeQYKZWeWE0jCbyjQ0nirVbImoAzSMG2yZ00aCRlXBAAhhyLKag5npq1jDgOAHYMcRAy/HoyAZ+eIl07Qr51LA7RBoLFskz1gZKwC4OgF3CYw1W9CQp0OiswEWhEdRXsukcdAovswbUjVXaCH3+fw3pORZnd18HnIS4fI94HznbD6Z6H+YVpK02nZeoLVM53Gwn+4n338LstkIZHsNuqgqzarb//qBFrzofI4QJzpA4VAC4szgBoApmeG63q4ABsCUcVgSHlA1dawCzQhHdiQCMRNiCtvler0uxRy2z9eFdriQi1uaFfqqjApnqw8djJOMKUvIKuJMFqnjQzIxn9jtl1MbyLr193oRJyJ9fPedFGo9NKQV/fGSoo96RfnGF/nyOHeKcdNYRGdkdfHe2K2G44XWCQm+sJJDNNFlWRZqhQOlfAZNt+Iz0sVBn1IYatojYGcRhFzIRnMoOwqqM926793U5BcxlELJqTfSknt+vEwVq0mgqWmG/esoskegzLlegXzBfeBwyAOE6b7ncZmC9ARxN3uHSwL9/7wnMblWFALwFp19d4zOs12LoSqyaFQyF6P4W1UGYEbqYnYWXWVihh10bFhUQL345FBqQ0m0m7o8kE6fo1YYBYdZjdJ+MJx/tW5QA27+eGhiywfeZzu7DVaDtjO+F0yXiYPdvoo9UIxkgs6vnCfYXjhi/EuOu8seRtvUw9KtIGJ9QqqQyzBtzR8HxeKFO98mTPwhu3dX9PkmWUnI1gUWG+dSwzAcU8OSWJaLW4gpYWBbfa4SIL3Ww2Ba9WRQA5FFMM2kByM6vAeqSLxfWrirHqmsH1I0SUe1V9tvVyd1kG33YifcCCw5Vuv7F7xkA+wI6lt59tVYjnOteRwfBA2k443UE5wVSmhY7/AVW9PSE45jskqQ/pn15mWzRtQe0EWSNDk1yUaHdAys8YCID3tXKVsTA93tAAVmfNJ6eiZXB6KtKOhp1aJVfOwtNVeMEbMwa+sAmw59NT2YEVWQByHMcnXpI8VDLdr/KrRNfNbuc6Rj71RXPyEKE61SwySIAA4zBc2K6fUNvibGN1mXfL7Tvfy9qYTNtp2435jcoJxo4FVSudrsgjOn6XarUwAJeGFCqj5C/bNjX+QX1ZPdY0m5WX3jo3ADU9qs97VQyVmbXtTDkGZC77M4w0cGvJolH7vy3tyAX3blXEfOV0MoFe5Djy2dx5za7ytVoXRxwFXSAYqxV9WBRvPbuY6/Oq6FjxukVhlksax8IVWeB/Ok0v/p3KDMHE3vvslqGIdUjz1787sO/RRtuZSNcjVyPTm/WcgDkRbyedB8adO3G+KC+cO1EuDrA/deblUhJdLhnYiWCNVkIBWk2FrhYgN/xSk4f5xvP1QXAW7DIOQKapa3KSNgOwpJNF0CkksKwoRKlYXj4ccHBnhujySsTdlLpUUyLHkmpAijwWCzAKU8STjY6Lt3pPe1rFl70XQ8uV8WEzHot6Y07AIBQXp+8naIMIzFBXhtHJjnae7UakCyjtije7O0RqmJHsVWGqikaGBGwuad7PDKjq82NEtfWwuSRrsslTapUXmgZpf095t6nQsDQxJtjfdlzQv2PVVcHZ0nRaqFdAOc6mEepVvzgkFxhGmleKQpmUC2u3huDQ5eRyaUduVDjVjMinp8HZF9lKd+bK2jhXS+My2HlsJ2P6F+tCMbN74NcKUJaIFVyE52lI0hAo6mC+2gvDY0c9ht223Yh0bZp6nhZo1DxA6HfWd7zbbJtD7gs5Y6A44rIWIr7SNWLl2Kwlf7Ci0sMs4IZVeWsKpcC96irHKVfr4oiN32oFG0mqufqOLVlbHMcquUAX0+lG8pIXNXsgVqkVXqzeE63MM5qfR5hW0BAZAVpGvNGPrVf154Nr1I31652lzbzJY/ZmJraOiQtts0pPFnfBaVIak2k7bDvhdBkhCRItOkl9Kbi/7LJ22eiFypSUjE+LYcrYRrY+fnawX1rNBIzWI13bh+kiIGDA1XEXqpm1+qkgF06F/WHRrEEG/WMyAfO1yiumBnx2WhxobGdkZnhxdFyV46tx+K3XpEfBqjoT98tq+9egF6Gmg4NSXm3FEMb2iN03zPE1jUAQUbqzX9xwtyCFfuJutJ2znXC6wIADG3KSlFCUS+4CT9KkHKERri/TXZwTqcTkWnXsNmU9m1cFB0UtKxenFZyj48khSsaQA7MqLsNymUUnFnUGn4jEyQCBn5qEB8tZqtnQS1gy184xRPyVdsI2i6yBC8y7UwzpGNgAYhFygFhKV2YtEEkNeDmvRNKds9tlpL2ZJw8rPeV4XaoDuwvO1yP7kcGwi7YbTtfq/7cIrESLCv2UXoDj7e2rr3Prn10yanHZxiDvmGMrH00w0bSVNjurpVPlGAo/WJsahSN8am945nyhmflp4fBa5di0rSq1Yomy/bbv096eYK6nZ5sMkOiocy8avFMbuEe8Xm8yBoA6ig+C8z4jMAnJcF6x6qy6d5zR3VS1tYsgoxd4jv2ODaPtru1GIs2e1ctAAENONpFnte/UrEOsKX3FBN5ljstYCVitpHDD1bxa8P/4taDZVNS+HrousMNKmQx70qWX9vc9iSdJqVQ4tPYys4jdZC0m8HUVAzYZxzSblURan/pk59J1FV5bfdb/3mUHtsu2JOh1Xxjk0uYyc6B24m3nRehd6YLtVCAGoCTuVAQ9bp/OG8y3id3cgXn33NF22i71NhDRw0T0OBH9IRE9SUTfNLDOW4jog0T0ESL6bV32Bl1mPzeJ6If1sx/X7X2IiH6ViB7W5V9ORGfhO++4/bM6P2Iwnqg7A6vtv9dmXNH9fS+9ZWbQQ9elpbwWJTRPPaPc2gysVfRFiwp4uXI9W5BGoSocQ02DNJshXTuSSrz9fae0pf09cbJ7M6SDA6Tr18TpX9BqJy8WyCen0rrdmBaAQxvuxM3MKQ053v6y89bpwQgVN5pzEcMJEEba30M6OpSEpAqik4m854GZkbFBNPo1FoXve4vj3zjeO5g9Vc59tJ22y8ILPwngPcz814hoCuAgfqgO86cAfAszf5KIXgkAzPxRAG/UdRoAnwbwq/q19wL4UWZeE9F/DeBHAfyX+tnHmfmNd3RGA5VQG9Z3AomwIbp9GeWwy9g52DFNJt4njU9OXcc1P3ujKhAQ+ccOdHiI/IqHgZu3ipZCV7oL8yJM/01i0j43LDhQ26iZgB66jvzZpzcFg5oGSYXdN2CKs7OC9xpbAihYsi2XDcmvWOxxnvpWdYFqTLn0NGtAVKLCrVPzppGmlCaQ3nUq+ahKZ9oV2bnBuRxX1crnMs42fn4XNBVG4ZvdtQufDiK6DuCbAfwMADDzkplv9Fb7bgDvZuZP6jpPD2zqMYgz/VNd59eZ2Tzd7wJ4zR2dgRzl8OJtmGo/8xymopXFVi5D295mFhX1BFoqqEFZCLxeV5q4g9tXp8enZ6BPPCUR6UxKcskaNlrJL4D1a15eOhnotni5Kvhr20qV3nyB/MwXxGFHloROyYXd0DuuXiRHoQTbk3pEHmljKIF2nlOKkW3fUj1Qlq9QYUlMp0gHBwIlaI83m0lAOdreJYODzKbda6t+G1IWuxO7zLkOmFTUjZHvLtplhuTXAXgGwM8S0QeI6F1EdNhb5/UAHiGi3yKiJ4joewa28zYAv7hlH98P4F+F/1+r+/ptInrz0BeI6AeI6P1E9P4Vz4dWEdv20gxRfWyqeichRnTYF5SBGhWJT04Fv1U8mJqkziqVYgNAK+hWIuziMMO6iIObPoI6jsnTN0WPQXUGrMBA8N9GNHqV5ZAOD0CveqU4WWCgO0O97Y3LaJQqc75tK9CHlRFf9prZPvvXPt4njaKjo/evKqRiamU0bQWnV4wcXWEksCZehfMcfnQ71f2703DTtnFZnLr/9Qh/jbZTdpm7OgHw9QB+mpm/DsAJgB8ZWOdNAL4NwFsB/BgRvd4+VEjiOwD8Sn/jRPT3AawB/Lwu+gyAL9N9/T0Av6DRdmXM/E5mfpSZH21pdonTiF++ADqwKeZFTuMiG6rVt9JSm86ngiNat2DXOmjbwlrQKJYm0oMM01b4pqpHS1oZhpc9DL55S5yydRAmQjo6dNaBOUWaSBkwnS1EwwGQfVYykb0IvW9W6adFEkLl6rYPXv1B7jbMdBsq3YzoIJtGBg+SZpn5+KRc44jNKszCyt7wqsAolP5C5vZ3AxcYsYWdtctguk8BeIqZ36f/P45Np/sUgM8z8wmAEyL6HQBfC+CP9PNvBfD7zPy5+CUi+l4A3w7gMdZ5HosA6kL/foKIPg6JpN9/uyd3rvUpRv53md5SgzrSouHpLYDLORCNNvPJWc1n7R9T1wlOaX3bGoAOD0RK8fikHHOTgKUIk2OxAC+XSNayJsIYWn0GrL3tDR3syzrrNXi1LMeXAQbkGPvUsW2Rl/FK+xj6RZHeEDUtXofeskjt8j5wFsEuFkWAByjVhhEb7wnEC57bDTadvB0K1+C6d4FCNtpu2oWRLjN/FsCniOgNuugxAH/QW+3XALyZiCZEdADgGwE8GT7/6+hBC0T0LZDE2Xcw82lY/gpNuoGIXgfgKwF84rbOqjqBLdNVoEzhrXwzYrhD0U4sLwUudrQDCZh8NodVxnnmfWgqqpEvAJdv5OMT+Wi5Ap+cSMseZvCtW1IO27YS5WpJNM2mRTHLjrtpZFnXiaNeLOQ82qn8AAXHvZ3qvR5zYOv6Q2XXFzkodZ6VYFC/pRIlVz6TxKIyQ8wJW7PJWCwRj6c3nR+U7Bwwu4ec2SEOhyhu00ZH+2DYZdkLPwTg5xUm+ASA7yOitwMAM7+DmZ8kovcA+BCADOBdzPxhAFAn/JcB/O3eNv8JgBmA9yo+97vM/HZI0u4fEJHVtr6dmZ897+BoWyINOB8+sOSTKWr16/i3ff92SoKHMGNYdtqEUmKiqSuJIdvPaqXdG0InXxMvB5w1QJMJaG8PvDqWczPu8PIMdKiEEyKAqTABFBqg1dILB5wKtkUEyHVx4xS/r3fwQiI9G9TsslihRYxae2XfjkkDBfttJwK7zLOKoTeVcE90xDESrooucH7UK/cxyeeVOM6yvq2XsMF9jBoMO2d0XqnqVbGHmi/iv3Dw7aWiapsNQASmR+DKU0N2JwkN29eA84nSgPVuei+5q16xdDWwbHzslEGpLlJQsXHuci0bef2aUL26LNhuIqV/zQvzoZ2I2LnqNPByKfiptgSiJoGuXQNNW+Qbz9eSizzggO/EKDkuK9vlwqwwKcnocE38xtodmWavCq5bs9LKUfdhongfelzgiyCGOFuJpdiDWiCXtI22Pzvwjj5o9hv8+BPM/OjQZztRBsw6tS119V09/TQbjFpzUe/auoO7w70sh0H+e2NK2SgHFSgRozkWU/cyx9ZIs0iQYMVeKGGRe9fBBLqFB2w0qA5YGZCp1KQkySfam4kcozlyy+o3On1fLZFv3Rou/71MAuoSOK/T4MwhLhZ6jMnvs+O5uj4vV+Ks2xaUOoVXZqJZbOehTrvf5j7uO5Yu306kK+fUKA3tzqleG8/DqMGwc7YTThewAoKFUIVms9IHLWJ5fcuasc7W9RXbHcJQ4us8bPecaqvYPsgFtANneDBSoiRdeOdzoFuJE9JSYLQTSaZNlsBiIU0X1UnRbCrR4nwh/+v3oBVpsI4Ppk9ghRgPXQe0lRAhJJlUbzdNyR3fhgO+yC5wvLwOMovmVC3a3ZvJsU7bMlCGGQpp+bPr5lo7oukUWC7BNihFJ5pKc1K7NxFq6guWAz1HrM8XZy55gX4RyCUi6BHTfTBsR5xuScjwclU6xO7NpIniclnzT9WshcwGB3XIKQzRv6xVzpCkoeOP4RIbDmtVWwoFEFDEvrvOIyXHXZWWheVSBHUsGQYAsxlIe59Ja3TdBiVQStKMsg14sHJpyZJok4mUyFrbHqOsnZ5pNVwn2Gir0/XUAN1cmnkqRxfGlrgMtHDR54G5kbtccNm14suUAHSlsahZUGTjLjjjrOLtbSuDzHLp2G2sRmPjGqtAO3ddaWlvJbrBgVKoVKscre03nu/Itx0t2I44XTVLkK3XkiAyGhERYFPSPo5qXXIBxTkxTF/atksTlmlDN9+Q/XeaUiKkaSs9J1VTQbr9rgLXdlq20Y8ge7q8JrqNpSbZFKP1MleVbnSnqc4dmYH9PREo7zrkW8dFKc3OZzKR1urTKfD8TYniFNf1kmJrkWRNLHEHUdo2J83acFJLfzGZgCgJRU4HUS/tjdoLkxYgieg3qrlWK+Do0PvLVY7RzkOvL22DpoZw6xjRxtLnfjJxi3ZEjHjr5paXY0+MdvVsR4ZgKpEf10LlpV2MRCci9NKWyG691simBx8YDclEXEJ23kVdVHDGMEZerb26bCM503XIN49hXXx5vVY5Rs1461TdJRojRurZ/E6i6tXKk18UJBm5y+KgHgq1JFrN5pHobCYRcBRG5wxeLJBPNNE2VT5wzl6q7Mdo0SAzsFohB22D27bzol5zYq1SsJok57JYFMw6s+DT2miTV0s5Hk0AbkAfeq8qOIIKtIC2lSTjUPl4dJgajftzZvfKHGZPr4GaJG2XBqr6+q1+4vJwkNuv02hXznYm0jVctGoWOJEOC16x1TQyPT450a630qaF7CVTkr93WAhZfAJ8Km2dBayJpOOd2wR2/CCzN5dMR1pJnRlA9v2VASLBx8SUXMSclC5GM5ElpGYCmsJZCXzrFujaNaTDfVmm63kE13XgBSTapQSkeUVt4vkCaDUJpQksd0pW8TWbAbeOh9kAd8MoaRnvVKJ4IoFQVqteu/aBBFPuwMtc3QeHaBYLr8IbpMIRyTaTqLBxE0qZoxPt48GmoZzZIZl4LtzlwocePN2BhGr8bMyj7ZTtSKRb818ra9vwojWCfUKd9GpVOiWonq3DBZb1D1GciMZ0hWrWM6IQBQ8kSmgyQbp+vXwWovAo5kJNIxVohwego0OpHpvNXAOBiEQH1qb57VSWnWjxxMmJYtp7wnjQY/NtJJIkWSKkhx/yqF6+nEu/OS0kYGZJTqoT5OOTkmiKEXmccp8nXHOBUZNAR4cS3arsJmuXC0uqnRtda9RbtQeyYwuMh+o+cZYo+eS0rubTzzbOKfwfK+NoOt3Qhegfw+1Uum20kh/tyttuRLpbgkvHdg2zs8TXfFHanHsCqXON2jSdlhbdpllrpuyCus+XHsBUoQHDG2OCjVIpQiDNsHedJvsKM4Da1qEHTCbApBHnPJ+XMthEwFJEXSSZRd7Kx6qyRFuBwUkF2sM2AHUUz98E/bnXIK3XyM/fDBdOHBBFXnAjSbl8erqZKBowYWBcgkI2ZCn5dQChJLsMOhiKcLcZa/NJHXx4PpdkWsTxDctXZ5gtKjVdjL7TM16uQTuADz55sShO95LOcsRtHyzbDaeLOjGx8RBnhQO0jNZhCHW4lpgx0W+PAHMGbh0DrRD002wmL6SatEQHrGrIEjS0tweslqCDA2dO2BQ3n81l6nqq2zHtgNVakmJ67Iy1JrtyrYNL5JQpTCYS8Z54FbW0RA/6uXyqkTSzQypYFZlH+twzgvPabCBoTVg0y5RAIXl1iZvxgqbEvFqDz87gouI51apqt2OUhL0ByH09PEDuOnC3LFV/oRDFG4pOJ84CAVC6TRhn2irF9H4ZXJRPTze7TI/iNaMF2xmna9HPRTTbaplif2TTWNLM+NkcNF+Io9JMv9OnmqY4L6v+mgtLAtNWHKVJMGKg0q0T/QXrhVaV++aMfHqqsn5hCmrUrKziNnZCyyJJyF2WF//lj4BOzhxrtr5rCBQoAF4gwPMF0v4+8GWvBj792bq6LUAHvL5E0iuepxUa3FGka4I+6ti4kyTfHSbssvU5azXJGJgXjDrpaUUgNrhWjT4j08DWMY7ueh2eo4u5uZH7e16ke9Hno1092x2neydm2J/ONHkFd3bmYLk7KXSi9Voi4aYRh0ckZbQBk3U8NPJX+2YJLQDQogXpeZZkKszZy3hZGQPOXADE0Z+cCg1sOtXpt6iM0eefVRaFOMA0m4Fe/ogc2xeeKw0Yo3jMagXkjPTFr0D3qT+TfahU5LkFI8Gqhpx2ji8Ei+w6gTRSI+I+qwFdjMuaHj8vl8jP3RAd4YcfAq4fgT/56bJeVnnKCC9AsPg4wwFUuMgiZLs3fdH7QBPbhuNe2qGOGgw7Yw+20x0ye7C5E7qSOpOqO0LAT6u26MtV+D6XIoih3cSKJ+1VRk1yupMzBjSJBcDLc60fGlZrgUg6gQ4sQmbmIgCjAwTfOhYnseay/fVaHP7xCVLbugKZ7RdAwTvPvWYZg2JBd2iOia7Xoos7P0ek/lIbLM7P9Cv4xvPAjed9fy4Ob+cauLvucDdgq0AZywxWGKvqghyj3jirOWcg6zvokcGwWzY63XPMKras8owA5b0uizNuJ+CVOETXDAAK5Yp5u9OyKqjwPeeXAj4NlkqsoANgFWaLxSbRH3DBc0vI8cmJaysAcEZHrI7Lz98s+1uuxIEMHO9WUaDBC3hnWKYXPljUebfMHKCXfasjDuwXQK8xFM+NymZGXmiaSui9LnxoSilxFMG/ZNS/ldkwajDsjI1clAuM12tky3QTleIApZW5Apf1FLPvLRalHfuQabUV7c0kop5NNUrKvh/XSqi0BRqka0dI166JYzcoI6hyoeucZWCSjkKZ06RQb5vQKLePyXrBSe+4XxTrbTdbRP9C7TzNjJ52QjmU4Pji/VNtBStKscFtw9pW4SnjWVOZiZxjfW0H+z1iurtlo9O9jOWu6DdooYVFmNbuJQpXs2F8W1S3LFr1PliTCTCbglQfgLQowzmpXS68Us7CWEgkbdNV29Zbsp/N6w4Ip3OtSMteIFKKOVJhMxg8YO1trMItHn/ku5rdLSccI00VvLlbVrUPCmLrFDUsBkq/adpuFlEoFMFLkYz0e24JtMzek82r4VQ7IzrirY5UhXPKv2M12q7ZCC9c0ni9BmdGSgm8RBHLCVKE7pgvEZnwSjmwnAW7PF5LtVwg8Uceb+SDWukwm1i3Fmp4ZGj6DF0HzOcSnWuxBGjpDoCXy2rKjan2YRtobVNZnE7fRTqUl/XeRYsRoxmlInRTCfVYtG+l5Mpaof2ZD6LO7434r1kUcDdowpkpWm5t8FNPQMciWkp5dLQ7bmOkezuWO+S5sATy2dwjUIMWTFjmPDP5P9qbSYmuiYpbNZu1zJm2SNeOJFmmDSW9pj8zSLsUWInpRicFc7RE3k8sn5yWBpRGQ0NgMlhzxnKwmydgIuN32V4Mh3ueOcQSZyM9TQXT0uDlsopqy0bqKkIgFNtoZR/r4Gl6Db5PKtADVAD9XGc7cn13xsZI93Ytd0BHoP39sIxFZUyjVwCDXE1ZTEiH+6KTYNoImp3nxbLGIGfTIrWYueC2Bg+o3q0UTMgA4M63L2pj+HDW5JkKAHEM185hW7hZmfBdtHvtcN22KH9F422QSqSDTadID113jjfOwWErvm6f23ze8Y10sZ2x0enegfF6DcwXSNePJArtOnGcXk5c2sf0qVSsWKkI8Ri9KEvlmUVA0wQ63BeaFyA0L2UrAPA257S/J6W6xjqwKbKZaclaiXMWKIMmE7CeR2RhGBe0UuYakl98IYUP/Wv5UjlcMz2/DfghCub0hXFSb30A6z/3SiAzJp98GvnG8xvbtO2GjRZq2TYbo9udtBFeuEPj1VJa4MznlcM1R2aVa/0MNyWqhXZmU4UP9FZosmv1qkdw8hf/A4+os0W12rmB9ooADqtDzidnXngB4xOHajarrPJqK2VhkLIlWEttfcq9TbSmrxU7ZFEgZts1fAkc7obju00RGvnaQKIrM9bXpuCjA29QaZDB1m1f1qm+lIPSaHfdxkj3BViez4HlCmnalum8VQ7NZlISnDYdDzODDDJgLpCA6UdMJmj//ecwefZIkmzrtTtBKaSQxpKkjIWYaOPlskhTWqeKgNU6N9Wcvur3Vt01Ng44n/8/MEw5I9pa0eZFJi+m2TWzklvDooem/pRKBBv/HrDKiap4UfPcCWiVVYYzCcfXCjIMUhgQT9/WFLMsGmGFXbNLRbpE9DARPU5Ef0hETxLRNw2s8xYi+iARfYSIfluXvUGX2c9NIvph/exlRPReIvpj/f1I2NaPEtHHiOijRPTWu3SuL47lTpSlTHzctHtXS4cBBk3FXDwbrgLjOJuDT88Ez71x0yldAErrGusblvNm2xogaAG3IgtJqjRGBUu0xA8vzxEi71Pezote++dplKkBPPSeONyeUThnL3iYTl2VLXKSPem1xfrdenm9Bt06QfPMDeDZG2VWMmR9rm6Ulxy6viPEsHN2WXjhJwG8h5n/PICvBfBk/JCIHgbwUwC+g5m/GsB3AQAzf5SZ38jMbwTwJgCnAH5Vv/YjAH6Tmb8SwG/q/yCirwLwNgBfDeBbAPwUEZ3PKn+pjVmKEdiYCMnZBlu1VU2xirP25mqFD8wMTFvt3MACX6hqlSmLVWWyW5pCCpNir8Ae1nDSnAtdILg+eJ4DTvg8wv9Q5LZe3XOH65aF+eEaC0qbS6YVrFHxZawqWug68OkZ8nM3BM8NybcqcRYkPJ2NApT7MOR8xwTaztmFTpeIrgP4ZgA/AwDMvGTmG73VvhvAu5n5k7rO0wObegzAx5n5T/X/7wTwc/r3zwH4q2H5LzHzgpn/BMDHAHzDZU/opTJer9HdPJaXLRGQGokyFd/bWN84tdZZ4NYx8vFJKc812tFcdBbS0aFIMFo58GIhgtuDU3eJoPnkBPnG8+K0V6UXmx0vgBJpDdGhLqigioUGl71GL0WE6/u3wg+TZrTl6nwNJ++rgZ3niM3x5tNTuSfqjCvqWawuW61L89DlshInqgZozttnSaNdabtMpPs6AM8A+Fki+gARvYuIDnvrvB7AI0T0W0T0BBF9z8B23gbgF8P/X8zMnwEA/f1KXf5qAJ8K6z2lyyojoh8govcT0ftXuIv1+S/EcofuC89Kgs0c3nz42Hi59C4WyJ1MSWMRxHIl0S5rR9zZFJRClGpY7+DGhdaVj0+KXq/jxrkk2oDC5W3qqa30hmvuWsXZHfdRuxtmkaO205GOv23B0JvG+bhVyXWi0nnjAsd7Ublu/7ON9fulycAY5e6oXeaNmgD4egA/zcxfB+AECgX01nkTgG8D8FYAP0ZEr7cPiWgK4DsA/Mol9jf0dG88fcz8TmZ+lJkfbXF+QcI9NWbk+bwIbp+DyUm0eiLOUele6fAAtL+veHAusILzf0l6hW1x5mXjAxFwv4jC1tGWPBsthi5qiKg6BJVj7uGSnPmlc7ixAMG66xpGvlr5QJPP5rCiEy8BTmVGUTb3IlaK2YBr+s6j7axd5u4+BeApZn6f/v84xAn313kPM58w8+cB/A4E+zX7VgC/z8yfC8s+R0SvAgD9/XTY1peG9V4D4M8uczL3k1nZ8IXrWXRFoqXrEZdGObQ3A127JrQ0o4B1yse9C1Go7V/6w/UKO/qFAbE3GGmxRUxCxX5puA84uGqWMLNO0KyzhI1B0aChqKfgH+n9GJBdvO3j0aReX+BGONyq5zFCCztrF761zPxZAJ8iojfooscA/EFvtV8D8GYimhDRAYBvRJ1s++uooQUA+BcAvlf//l7dhi1/GxHNiOi1AL4SwO9d8nzuL8vd5V8eztKiZrEAn56Vqq+cgYn2TpvPvZMtHRzctYjIsVYq02nuch2hUmlHX/qsBfGY6XTTYd0HDtcGhdINess1iwNNKM0tH286W4NfbsfxuuZCKJ6gREhBhewlTTaO9qLbZXm6PwTg5xUm+ASA7yOitwMAM7+DmZ8kovcA+BCADOBdzPxhAFAn/JcB/O3eNv8hgF8mor8F4JMojIePENEvQxz7GsAPMl9hIVHNkl8k6wegRF9xer5cgY9PxWm88ouAZ56VQorVcrsDuZPDtK4Uk8l2SMS4yMzOETbdBsrCwsDeVKCPfPdEzV+wWaNOoiLy049wUZgGImre1cyDYNRPPPZ4vUMSjZWFggzHdqOTHR3uThvxDtzg6/Qy/kZ67KU+jPON6FKOV9btOdNE0sYHISG1WhWlrHtpRoMzkW7O0p7dVNaAF97p4W5ZapD2ZnVPu3YilXu9gaVymH2nPNBk0oSL4rJt61cVbFau3VMYq+x+mCGM9oLsN/jxJ5j50aHPxoq0e2W3EfFuWBYecJrNzq8cuwfmTTMNVrAuFYZFvpBeZnfZyEThAR+kvC3SOlfO1Z1h+XL5f6DBJFl79mDeaNKuTWg+GVYq3UW0PNsLZHr7Gm03bUyT3ktTxztoQy274wuYpX37bRc03GXjlSahbIakOGk+m99XDheAcKCZS8WdFkZsJCEVr47RZ/ysotKZmNHg7moooopwI8tDqWscKYK23x2YeY52vo2R7r021VrYeHG36Rtw3pzuvpRm4t0q0s3L1f2f+Ol3KQZcVtGEw7nTZQj6CKFHGnKqaWdDZs67xz4wQfRYcDLIbrmfr+Fod81Gp/sS2aDjjfYidWe4a6bO96XQUbiscdchtTMU6Ust/7WolxK8/YNKLbrEJVCShERAQyW6jx1/g3mzy63CNR2IB5gOY4T7QNnodF9C2+p476fINphHZlfESRSxcKmu4/W6jnoH9BFiSa6X5aok5kYrnmjWB+0C+Gczur0a13K0u2ej032JjdfSG63CAxOV/lsvhgOOTuOCpNxVc7TRTOLSmAvc5UFuc8XHpRDRAu5w64KFbrM/2tD+e2LoG3YFr+loL9xGp3s/WO7ACI43lKMCKE7yMqyFi5x0hVNeoBVwxZ0Cr9biZDk7W8Hx2CHx8nBdGOzNR7dBBhea8nf9ePrauVf42o525zY63fvFzPG2k8KDvWRn4cq2NZNsUum1tqXzwy442mgbTJEtjtPhhczgBIcQSsPOFzDTCLxmyhnZuwnvxjUe7fZtdLr3k+UOvILKCyoOmbXDA9F5TdHPN87bOzjsmKPdsG0OUyN+mkyEWdB30LGdOrZUll20605gCEaPajYWPzzQNjrd+81yt+lc77B/ly7QPyxLv6PO9RwbLOc1JxhmE84+UBnI6LA90RYq127HEXNmKYIYHe4Db6PTvR8td2DOoElbqFnoTZcfQOd5RxZpYXGxdm7glABeyjU2ecuhVuxa9msYrTjsTTWwrc54l2cTo92WjU73fjXm+6/C64rakGgNr9ZeqJBmMxeRD1/SxFsp6aV2IlVkK1Flo2kLLHraCU0DQjcmzUbbaqPTHW23bZtwTWCD5L5u8OBmGFgu3Znyaj3Y/84lOeP+R4c7WrDR6Y62+xZbnRt8kFmSlOc523OUyDhzYSKcZ6PDHa1no+DNaLttsWUPIM52AEbY+E6ijSaVt21j0my0ARsj3dF23zIHsZoirxmdL7WTen1lLwwlxS7FWhgd7mhbbHS6o+2uKf0uWV+0UNK80Z13tb5tGljf/Pujwx3tHBud7mi7bblDnneiHDbQcDLaZRwuNY3jwlWkbB0n7qc2RaPdlzZiuqM9GMbDpc99o3YiLX7O6fBB02kNR0CLH0aK32iXsDHSHe3BMWaA66h3wy5gNXDXAWdnY1+z0e7YRqc72oNnzADyoOPd2k4prjM63NFegI1Od7QH00LU62yGizDdqm37yL8d7c5sdLqjPdhmzUL7OsSjUx3tRTLiHXi4iOgZAH8K4IsAfP4lPpx7aQ/S+Y7nuru2i+f755j5FUMf7ITTNSOi9zPzoy/1cdwre5DOdzzX3bUH7XxHythoo4022j200emONtpoo91D2zWn+86X+gDusT1I5zue6+7aA3W+O4XpjjbaaKPd77Zrke5oo4022n1to9MdbbTRRruHdl84XSLaI6LfI6J/R0QfIaL/iy5/IxH9LhF9kIjeT0TfEL7zo0T0MSL6KBG9NSx/ExH9//Sz/ztpTxUimhHRP9fl7yOiLw/f+V4i+mP9+d776VyJ6MuJ6EyXf5CI3nFVzvWC8/1aIvo3evz/LyK6Hr6za/d28Fyv+r3VfTZE9AEi+pf6/8uI6L16DO8lokfCulfyvt51Y+aX/AcAATjSv1sA7wPwFwD8OoBv1eV/BcBv6d9fBeDfAZgBeC2AjwNo9LPfA/BNus1/Fb7/vwPwDv37bQD+uf79MgCf0N+P6N+P3Efn+uUAPrxlW/f1uV5wvv8WwP9Ml38/gP/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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# rasterio provides its own plotting functions\n", + "from rasterio.plot import show\n", + "\n", + "# with read we can access the different bands\n", + "show(s2open,4)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Great, we can see that our data shows Helsinki, and that we have a range of different reflectances in the near infrared band.\n", + "\n", + "### Common false color image\n", + "\n", + "But there is better ways to look at vegetation. Let's for example have a look at a \"common false color image\" which utilizes the nir, green and red band to be represented as red, green and blue bands for the image." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "uint16\n" + ] + } + ], + "source": [ + "# Read the raster values into numpy arrays\n", + "nir = s2open.read(4)\n", + "red = s2open.read(3)\n", + "green = s2open.read(2)\n", + "\n", + "# check what we got\n", + "\n", + "print(type(nir))\n", + "print(nir.dtype)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Uint is chosen for Sentinel-2 data to conserve storage space. To get the reflectance, every pixel value needs to be divided by 10000. Sentinel-2 L2A products no-data value is 0. We can set these 0 values to np.nan instead. These are common processes for satellite remote sensing data. However, the correction factore and nodata values might be different for different sensors. You can usually find these from metadata." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dtype('float64')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#for this we need numpy\n", + "import numpy as np\n", + "\n", + "# rescaling bands to values between 0 and 1\n", + "red = red / 10000\n", + "green = green / 10000\n", + "nir = nir / 10000\n", + "\n", + "# replacing 0 with np.nan\n", + "red[red == 0] = np.nan\n", + "green[green == 0] = np.nan\n", + "nir[nir == 0] = np.nan\n", + "nir.dtype" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "#use pyplot imshow for plotting \n", + "#in case of multiband images, it interprets the first band as red, second as green and third as blue \n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1832, 2466, 3)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# we want nir -> red, red -> green and green -> blue\n", + "falsecolor_stack = np.dstack((nir, red, green))\n", + "\n", + "# check that it worked\n", + "falsecolor_stack.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#and plot it using imshow\n", + "plt.imshow(falsecolor_stack)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We divided the values by 10000 to get values between 0 and 1. However, imshow warns us that it had to clip some values for the plot. Let's see what went wrong. " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.0001 - 1.6208 mean: 0.04939044723460403\n" + ] + } + ], + "source": [ + "# check out min, max and mean of one band\n", + "print(np.nanmin(red), \"-\", np.nanmax(red), \"mean:\", np.nanmean(red))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It seems like we do have some values outside of the [0,1] range. In this case these values are likely some artifacts from preprocessing or atmospheric correction. So we can set all values above 1 to 1." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.0001 - 1.0 mean: 0.0493795718101385\n" + ] + } + ], + "source": [ + "#use numpy to set all values > 1 to 1\n", + "red[red>1] =1\n", + "green[green>1] = 1\n", + "nir[nir>1] =1\n", + "\n", + "# and stack again\n", + "falsecolor_stack = np.dstack((nir, red, green))\n", + "\n", + "print(np.nanmin(red), \"-\", np.nanmax(red), \"mean:\", np.nanmean(red))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "That looks better.\n", + "Let's also look at how our values are distributed with [rasterios histogram plotting function](https://rasterio.readthedocs.io/en/latest/api/rasterio.plot.html#rasterio.plot.show_hist) :" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "#use rasterio show_hist\n", + "from rasterio.plot import show_hist" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# and plot the histogram\n", + "\n", + "show_hist(falsecolor_stack, bins=50, stacked=False, alpha=0.9,histtype=\"stepfilled\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Check your understanding:**\n", + "\n", + "* Something seems off about the histogram, can you find out what and fix it?\n", + "([Hint](https://rasterio.readthedocs.io/en/latest/topics/plotting.html): check the shape of stack and how rasterio stores it )\n", + "\n", + "* The basic output of the histogram function is not very nice and even wrong in one place, can you do better?\n", + "(Hint: show_hist also takes for example matplotlib axes (`ax=`) as optional parameters)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "first fix\n", + "(1832, 2466, 3)\n", + "(3, 1832, 2466)\n" + ] + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "second fix\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'Reflectance')" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# %load cyu1_solution.txt\n", + "# Test your understanding:\n", + "\n", + "# Something seems off about the histogram, can you find out what and fix it? (Hint: check the shape of stack)\n", + "\n", + "# check that we have the data in correct format for show_hist (bands, height, width)\n", + "\n", + "print(\"first fix\")\n", + "\n", + "print(falsecolor_stack.shape)\n", + "stack_for_hist = np.transpose(falsecolor_stack,axes=[2,0,1])\n", + "print(stack_for_hist.shape)\n", + "\n", + "# and plot the histogram\n", + "\n", + "show_hist(stack_for_hist, bins=50, lw=0, stacked=False, alpha=0.9,histtype=\"stepfilled\")\n", + "\n", + "# The basic output of the histogram function is not very nice and even wrong in one place, can you do better? (Hint: show_hist also takes matplotlib axes (`ax=`) and title `title=` as optional parameters)\n", + "\n", + "# add labels (we know that nir is first, red, is second and green is third band in our stack) using label\n", + "# add descriptive title \n", + "# adjust x-axis label by using matplotlibs axis to reflect what is actually shown in our case \n", + "\n", + "print(\"second fix\")\n", + "\n", + "fig, ax = plt.subplots()\n", + "show_hist(stack_for_hist, bins=50, lw=0, stacked=False, alpha=0.9,histtype=\"stepfilled\", label = [\"nir\",\"red\",\"green\"], title = \"Histogram Sentinel-2 false color stack\", ax = ax)\n", + "ax.set_xlabel(\"Reflectance\")\n", + "\n", + "# in this case the histogram could also be plotted using only matplotlib.pyplot" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It looks like we have a lot of values below 0.5, but using the whole 0-1 range to plot the false color image. This may be the reason it appears so dark.\n", + "Let's utilize some image processing (from the toolbox) to disregard very large and very small values and stretch the remaining values across the histogram for visualization purposes." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "before\n", + "0.0001 - 1.0 mean: 0.0493795718101385\n", + "after\n", + "0.0 - 1.0 mean: 0.2560808133604525\n" + ] + } + ], + "source": [ + "\n", + "stretchnir = stb.stretch(nir)\n", + "stretchred = stb.stretch(red)\n", + "stretchgreen = stb.stretch(green)\n", + "\n", + "print(\"before\")\n", + "print(np.nanmin(red), \"-\", np.nanmax(red), \"mean:\", np.nanmean(red))\n", + "print(\"after\")\n", + "print(np.nanmin(stretchred), \"-\", np.nanmax(stretchred), \"mean:\", np.nanmean(stretchred))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "That looks better, let's plot it!" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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/7jY71TLpQpXZyir69RvUAo+sVuJ27NPoLKIUBu7uHlvzHRbLFcbBFM+bUsvnOG2bTI2CtrSZejP+5dvfh5MUfMcXvrrzYcf+c59+2+/HHSSEqk6psPGSmH3fZzbz8dM+Z8odjpIZn92/S759nYtmhdVLT1CplHjx8otYqORxRKZK9EIiFJUwSbByQawIlIqNNpqRapJpycTRJGedChNFkMiCI5kzF0TYugaGTl4oCEVFKjq+KmhrbTxvyjB79Zx7kMWYSY6laBRhjKFrlHOFBbfMD9y9/JrU5DhMv478X+/8djQ/ZFzTWEpycl1yr0iJMskZvUR7dZXdh+cYP/k2IqtJqXkBcqh8/LPkzQWkrVE6CBg6JUh0yqjk9SrjnXvoC00UJPJgQnJ2Hv32lFKzzDCAvZbKYDzlktPkdKfB/FTj4L6HaCtjXn7kLaRr82z+x19lmQzTtnn8yXfi33mRl++uM7uzTdYdE9ZLtP2c0egA3VIpGlXG55cZOSWMdJHKLECGGSMtQxsFDG2DimVwaArGmuQHnPfw9z99HKhfrX/64Ds5p9l4wZiuzHnW20OTGnEYoBclrPI8N/fv8rx3k1makhQFpqrgLZ2l067ySxXB/C0TdzbDj2N02yBXXp22uECieD55kZEME7QkJc813DOryKMRulqQKQJPVVhy6phJQpgVSKHSdkpECHpZQDkqiGVApAru9ffomC7DOOKBUhORZcgs52bqY0iNRaX+mtXmOEy/DjxSqhK3KvyL7cs8aVRwzRqrzQWqioOaNmlbBjWjzN1SwfqcT7/oUk6r3PnFXyT3PP5QZBA2HcTtEC3KmE9iEjlkbiQoWxkrWcSwP0OtVGBvDw48SlGGWF2g+MC7iKIUcfgc2sIaNgbNXsShHtHd3yD6mz/KUb2C3ulguFVGNzZZD33arSoRkng6wSo52ElCZgqc7UMmyx1mjk7t3oDZu05i1erETpnyZz6L/fIhfsUit2s4uU5eZPiTGXYQ87888Vb+xvOff7M/jq9Zf3rpNJeH+9zSNVbdGs/s3CGjYNGuU7ZKnKm2eGVySJhFdISGKQp2yClkwcf217n80Z9CWhpN1SKVGTgueZa8eq5RSDJFMM0jpkGEoapomkbZNJke9aiFBUhoCRXHKaGlBUJVKUuTQR6xU2Q4uaDtuFRylWuzQ4pcYqga0yRh3nSIhKQk5asdoaUm8zGM4t/amKX/NccdUL8DrZo6uQQlL2hpDkqWEOcJkaJy+tQK33Hf40wti+VJwoap0O8e8FatxfqKS3pJYffR+zEni6xnM1qGwVOfvMmuHeD+2jOcDBQurJ6FhQ4vBCOGa3Uccu6+812kl58nXd+g0qoTbHXxL5wCR6f6hSu0Kx1mj15Aay/gHnnon/wYVVmwsjNhc9JjohSEQkGkOdWSw+33PYHVaFO7fI3GN3+QvSvXCOSUaBKyK0NsqZIVEvub30UbC+ugT9Ubc+mTN7icjOlrBbV6hVyTiEnIQZFir7RQDvrc52n84VeeebM/pq8Z31efI8wzyopJrqscegNUTeOUXUERCl6eI4VGvWRza3hAy3R50upwPR4wKFLCImUzThnFGYvNOvflBUWSotkOocjpaCZqnnIYR9hCZVwUKIqCoqkYrkXkR5QVFUNRKYCyoqMJlXWZYBWS0/UOiWUTD3rojokdJ+x6o1dPF2SCTiFpVWrsKikjb8wJt0LZrqAEIX9i87feSXl8b/7Xgc888zPcfGWDn/ql/0Bxq4flpczrJcbjI3a8IxIkjmWzKst8NJ8xMQo6yytclyEis9ExCPolvMMYZbFKbWaxcO8OIs848fxd7kuaXCjK3H30LJvvfBv8x49y8Mh9uK9chSs3KQeCaSGY3r2NhoPdHZKnAWqUcdhMMaMCR1OQzTJeOGIoA7bqJjY26dQjiHx8meHFObJSpfrowyxdegTl1gYP3t3n8ycc5EGPR3WDTFN5pV0hmExhb53lwQFhLnh+sYQiNTp2ib6hIQ/2seoV3lXAxjhADQV3Og7f//6n+Ecf/8Sb/ZH9tvanmwvM8gQ/jRFCYZoGpJlEVxR0CboQFAKEEGTk3Bz12fR9DKlwI+ti6TrnnTKhLLAJeCbqkQRT7EoLRdPp5gmqlKwaTXaTCXYBc4aBVbIYk2MYBjNd0oglcZ7hpxlly/7SeKYqHbfCTORsJxPOL7TQDI2gewi6RrvaZnsyJCBizSjTVVLsLOewKLjjT9FDn1x9bfvfv+IwFUKsAP8KmAcK4CeklP9ACPHDwPcCvS899a9IKT/ypdf8ZeCPAjnwZ6SUxyP+fhX+VKXJA+01zv3g/8Ds95xhqqqMI4u3/bFvRf7qHd56U2FtJLiS3OFfeGOMapWm2+CCb7OnpnjnV0jXlgmjMeNZTjzqovY26Tz+zfjLSySbQ5yxJDFNKplgMXNQpc7dacBBd59xFjN95gVO9H2ity6hnVtCme7jJC6xNNASHznzqZsqQ11injsBWOzf+CJzg5DJdMAsl/hRRCnP4f6H0E6fwNYt7PkWy08/h31rA11R8c2cuaVFqsOcO0sVsihhwXKZ+RkNmZNujSh0gxSVViYI3/YwXj6mLRVmR4fsmwpRlFEvCvIgRoiCH/y2b+fHfvE/vNkf429Lj1eqXCliOkBdN/HzhHEaYigqbdtlmsSMk4SmrmOrClq5RDKKOaVb2IWkH81oGGXMFNI0pSILHrQd6pqFWyqTRyFnM4vzzgI7vsckT5FCIclzQnIoCmqOjT318dME+aXwPvLGdHSTYZYQqpK8YiELjRfv3kEzNB4ROkdxguqW6Jg2Rq4hNQ3CmLjIsVstlDSlITT+xt3rr2nNvpoj0wz4n6SULwkhysCLQohf+9Lf/p6U8n/79U8WQlwCPgzcBywCHxNCnJNS5l9FG74u/c32Kr3ER1EUwrJNNEspb8aURwr+hTUGRojeh3f2CyppSmfRZlCE9PScBaXFT28/T/DIeZSDQ4wk5nSaou31Wa247BDi0ibvHZLv3KSRp2izGbmlc7uRE3hd7mkVvFeeJvrcSxQyZrtUJW2XGac+K/MniLsTzJ0NpmUXyiZdVaDOxoif/Cnm9icsBwHdms15Y4mrm+uMggmOUyXrdjm/sMbNUp3zpx6g2P80m00VPyl44CBHWd8nUxXOOPN8fnqXzvIS2u1b6GpMVVeIaxbLTzyM+svPc+uZz1FZbCP1DMXRmBQWUxIiJyGr2DTinCCJ+dEnn+KvPnd8hPqffE+lRqZrfNqbciVJ+WCtjqEoeLnENgzWTBehGozimEgRREAUR/hKgZJlOKpGrCg4pkUcJwSOgqObGBpkqoLUVPw8IzENPmCdomSV+fzo02S6jlXoHGURMo5odeaIohg9LzA0DVEU5EWBKQR+nlHXTNw8h6QgVSXloqAW54SazqLhchQGZCInVAVFFrHqOnR1lcIUiDzjsPrafyn/it9RSnkAHHzpZ08IcQNY+q+85HcDPyWljIENIcRd4Ang2a+0DV8v/mZrFQMFFcHvO/lWfm7r8+xRoKk6Tn0e//ourXILbXEO2zVwTYVSp4V1tEHuB1QNiz/ZfoKB6uNVavzr+IjHX9nmTlll7y06mSJ4WYl5a+4S6wZGGqBOPRabCyRThXQ6JpYJM8uB1hzppI8186jNNVB0yf2e5O61m5R1A3MWIbMYda2D6tp4Roo0bFqd04R7d+g7S8jdbQ6SkBvTASY5FaEwjHw6E4vp4Q5/OEqZG+R8oubRdwWFmdOvnqAiMhQNWlaJztwiwysvYgUxJb1MmijoW0cE37yKVrtG2VEoZiNK93YxWquMXYdiNsJRFPSSYKroWAksSJWPPP4N9Gz4ns987M3+qN9U31NvIyXMpZJ3l2q8FHjUEMyiAFnkzDkOc26FKMuZ0038IucwT3EVlXqY0lQtIlIiRcXSddpYjKIIXYOaohEYGlNDxRMZS/V5XjjYQ5mGrFg2m7rCYDQkkznzGJQVjZ6mEBEzK1IsRUXVNdbjgAuGTUyBCENsRUFaOqmloeUahczZST1UKUjTFKFqmKUSmRDoJYuyo5NUSvx/n/7ca16/1ySehRAngEeA54B3AP+jEOK7gS/w6tHriFeD9td3pe7ym4SvEOL7gO97Ldr2texzH/oennvl82RJSFFkOKqFnydkik6Yp8x1VuhrOn6vizLsM//2i8h0jKZJirJB6CqYk4JUZpQVSVNzkJbDW+fOkbsai1nChhC4ps2OnhMpCqqpUB761Achdt9n0CiRpBGoNt04x3QMIl2lMCRTWWCsnWG94dC5ucFg1CMtu1RLBn18psMQp9Ug6bSYFTqlBx9nGo4Zj/YpHY04sbzMuDpFM03G9w4wspw0Drii7mNPPPbTgtQomK+ZbMQbpFJjziphHQ2JiymdEytEX7yFF8+omg5RlqB4PtVajXHsI4qMorVAPh5SlilGySD2ID5KaZgKfn/KvSCkP18nVhR+9P3v4a9+/Ovv8qk/Um9TuBaKppHNQtK0oF3Au50KVcNBtwUiS6hoKhoqg2hGXdVfHZykKCiQGLqOUkjahsvtxMdWFPy8QDUshIQjciZpgu/HVMwSqZsAMaN8xm6aUkSQFxkI0MoWh7mCUyoxGfRRFI1CM+jpklxTmCFRFIEouehhjK0JEtfB9jPUPKNf0dFnMeVmDWW+gVopcTiecDSb4Y3HaMJ4Xer4VYepEKIE/AzwA1LKqRDiHwN/C5Bf+vd/B/4Ir15K9l/6DXvqpZQ/AfzEl97/66o3/39uLlIpd9iz4WN3XqEmYSAlSpHjE/GRvWsEWYqUCr7McG0FZTRC3d6ChW/CrqrkswHCLhOebmMOY+wkJ9NVIgdmpBhC59boiAcXz+Hs3kNfnKfamucyGq35+3Grc+gf+wx5s43adFkf7BKrIfPLC5wrW5xRMwYlm0m9R88syIZD4qrNeLBHe98gKJfYDSHb6ZIMJjjXtjDXVnCXljEqDvNvf4re6CNcn8w46PVpLS+xWnU5rbkMKxW2z84jBmO8oMA0Lbq9CZE3RsqCnbP3ce1oxsLvex/J7j3S6RforC4z0QVJkKH+yq8yaLTxvBnhfIWqP8W1QF+sIqouye0jJoMu8SwjffQsZSGZ7u2z7BtMjIy/8sFv4W9/9Jff7M3gDfPnO4vMJMgcCk3QFDpCK4hUQVnVSTUVPc1AVRgqEm82JCsEia6RIqiqKsiCQRqhoJBpCuVyGTeHoV4QmgKJgqaY1H3JKaXC+869i5f8TYK8z1QIXLdEFIYIIagaNgk5+ahPkJUQuoapm1ROncXxRizPr6INR/SVlEwDM89QfB83zUExyDWV+qkVpJTsz2bMpjOU7QPKM5+OhFVV5W/tXHtdavlVhakQQufVIP2/pZQ/CyCl7P66v/9T4D+Ni7YLrPy6ly8D+1/N8n+n+IF6Bw2BzBKiLEF4feY8gYIg1zS8LCGVOYu6yTCdIqTC+yuneKj5AL8aJmxp8MDpJUTFpKnMUdgKxsWT8FgD/cUDIjNhVITokcQIFdqRQiBshkXEY6uXuCWnrJ48xUlZpkvGwqevECA4rDl0NrvUvJyr5xfY6qxSfOYyJ5oNlPNLHKQR/sEAI884shzyVCKqFTyl4InDEFurcpQWiFqZfhozvXoVq2SQXTqP+ehDnDnqs9IbkmwfoZ1ocqtmorTLTMOIsjchGQVUXQszCbHDmIpbY5KmjE738Ad3cG7exVQUVJli7vRZcUyyKGV96w7GYEwlbpKlCkmSMZj12VULHsCgXZvD3N5jJwgZ6QJHqlByyZyCpBB8/7d8C2oe8A8/+sk3e9N43fy11iKpgP004bkw4D7T5WQm0QR0RYEqBbmQEPjoQsHSNLwgQugGeiFRLItM5mRRzKLtEgtJmuVIAamloqJSmytjL9nkUkOfJFQzwe8NL7LraAzGIaMiRZFAlKBmKULRWGl1uNfvIiyTTAMlzyBJmB3uEJKBY1PyPTQgMwRjmeO6NnqrQW8cMlEkeZjh31mnPYtxZQa2RYFkWbMwbOd1q+lX05svgH8G3JBS/tiv+/3Cl86nAnw78J8u5PoF4N8IIX6MVzugzgLPf6XL/1r3p6ptFCGRAkyhEBQZJd1EBVIhmZKhFxKZJViajpJDLwkpCwW1yNnG59nbnyZYaqIvzHHr4JAnI49EV1B1jZAR+9kebj4hL3JcU0e3BF0ygpqCIgwOwxnnm5eIFJenxav3KIvplCUfds4tURz1wSxzMemQHYYEasgpWeb6cEh2I6Vu6tQtm0RIdBSMlWXK4wRbpATnT9P1dtGigshQULp9XEun0p/R/8VfoXjqXYwXbOy3XqB2MGPkgG1VmKGhWA63bJWOYhKdWSVLBdrII54kWLmkPJfQvPIFgomKUS2hZTqJ0LkaxfQO91iOMtbcKputOuUY9AziQrCwOcCeZowaDnMnFpmMQtThlLBaYtKqEEmJKXPK/hBmGX/l936Qv/2zH32zN5XX1A8un6STK6iiIBGCYaqyHvaZpglz1RZjCrAtLKki85ySqpAoGiMkFSlILIsgjsiTGFSVRBEcJSGpoREkMbqqsPbAGmouEK5DoUA5g0ADVdPYkwmq0MkVyTgO0VFQAT9NuNBaJsklmqrhoiKHMxJNwxcp0fAIYZk4aUpN0xi5OoZj0csSQiSZpqHkGYrnw2RGR0DVNAmkSqoopKhoCwtMFP11q+1Xc2T6DuC7gCtCiJe/9Lu/AvxBIcTDvPoVfhP44wBSymtCiH8HXOfVKwH+1NdbT/63lWss6Q5RFpFLyYyCtmqTy4IMyIRClGfMsphYU2kpOmpRkMnk1QF0FcEkDtE0nflSCTs6JA58Qg32tneIrnSxLphk0T7mL9/E/LW7bJke267gcdEgDwtKWUFs2vgHHqoZcPfGy9xXa1OSIZ9dqdAXKYnSQtSrXHr+BnYjp6PXSI5yXqlH7H7wPZhHuxz5fZY/+hnCZg3jicdR1hZRTQ3pBcSf+hjdisJFpcTGosZsGmK7Dkq1wmA8pblYpnfUJdUMjLkydm0J88R97L/0HI1xSL5zxFwSETdBGx8y2pjSTQrS5SXOVNsU1xrUkj7D4DZ6lLOTTlCKGctrHZpuhfTqLcK6SmrZjIf7VFZPMtrdRzcMiofWEOtXuFOoVKcw0jXM/UPiRg15+hSOopAP+litEpZT56//w7/P3/rTP/BmbzqviT/bWSLLc6ZCosiCozzm056HoyicNB1qmolUVSJLIwpD3DxjmueUVUGuKSSyIEhiClVFkwWZLNCkIAfIJJZhEuUx/eGYilvHaXRId3bQFmuE+132ipywXqBNderNOQa7W+RFTpAmOLqBqqvsTfqoSGZZzJzpImWOouaUTAuW2+jlMof9IUeaSjyZ4UYJ9SinKlO2OiXcdzxG59Zd/EGPWZEj4oIASU1T8fyQz22+/LrV96vpzf8sv/F50N90Hl4p5Y8CX1ezoP3xZosFzeEoCpnJDFUWRFmKgoKhacR5ggFEMkcUGZaEebOGa9kEiiRPYtI4IC1yFCFoODV03UKaLoZmcp8o86IqmBwdUvyjf0v+re+i+cwW3cNDfjLrMnAC/pB1nvJBhpHqCEUnrOtousFSqHLYG/BKmvChYZNLUcanagrtLOXC1SHdpTWcScI0m/HKbIPhXR3jwfvRLt3PyivXWHzfB6lsb3DVLdN58t300wj2dwlrc2iOSi8MicY+Wl4gSjZ5ueCw2kRsT/C2D6nYZSynjUymDDKf+eUlHhxl3D24zG7gURQO5jDEEgp2GOCub2AaVcqlOi/ZNmtGG3e/S21phfx2TDKIGE5DLjhVRK1DPZdEWcF4NKWTFoh5Fz0RZKlGqOpEYkZrYY2KhP0opNOaw/AG7NRA9XMCLyAYzvhjf/Mv4+xH/Pg/+Xtv9ub0FfnBpTWiIkdKgY1AaBpBFCFzhfs0nbfYLpaiMiUnNVV0L2BeM5mIgiJLCcloCgMhFI6ikLJpk6sCLB0BaDlMAp80iqlUbOq+gn2+gRA5xXgMtkbJsRGDCXkyRW/MEdZXse7dYTYdoBgmc6UK/ckINBXdNEj8gMNkxupCB3OuxriAg/0uk7u71JOchmviIrDDlH4cMAAsNeFwvkxp3CCJZiRRxFwiWM4UKpUqFCptx4XZazNK1H/p+A6o18F3f+d38S2+BbevsOOPudRcpatKPnN0j3g2pWHYpLLAMAxcFGSeYaGg5pJIFsgihcKEJOUontIRBo+4SzRKLQy3TjUu+DWlR8ut4C+0SBTBnGpQvtdD/uxl1vMpv1AckqgFHxZtVqodNh5aYfmlA9z9kL3CJ7MMhEiouS1yP+MjpQGtnZT3juYZLKiUD8YcnKxR2+nx6fFtgjM2dmowXb9JYZY5Zdg0hrskqwuUD7tkt2/jXzjJ4N46zqxL2ANRwNwwYNapEddrMJmwqGnMtZZJzEWS+QbdXOVWNCPY2+IbWh2y7S4VX/KWpZO8nMyYTPvErsOabqAbJlkwY/GcgxOnqCGocy0yTaJaCqdLczzp2njhHW77M6YbYxpRRmW8g3pyhVmiIPMKjdNn0Ld38UTBYR6TCUFTaPjXPsv6LKGyOWVby3CWU5SjfcTqKfIz8Cfe8xT/5OmvvWtS8zTFUDXQVVIkASmqIihpJjoFUoIlVKJCYsxiqqrOOA4oFAXbsCgoyPKcIstQdYEsXh1cpIhTLASZBBHFSDKW3/cQ1VaHfO+ApJzRuHCK0Uu3MFcXKJUc1ExiTApm1oSVpWVuBB41VUNvlgj3E7I8xyNnzjJZWTjJ3aZFdzhlfhDxbXqLV4qQdqnFhpxS+CGGapImCVXTxo5y4l96GmPqMw1mmIrGWbfN6VYHLy9YtDr8ueuv35WYx2H6GvkL3/xB5t/+Njau3aTfbLI5X+XU1hYEM351sM18q8OaVaOUKnRlgiJz4qxgLDNqTplanDBKPTRVpxtPGSQzbEVDF5AJlTn3BHNGhS1bkBgFp/U5frmcM2saLGUKC5aNaXb42XSfLxYj0FW+h1WeSstsKQG32gHPvKuK+oV97CymXi9R5CZMQhQvoWTBQUXhuYsW79+cYuaCg9UW7f0RaGWSaYQvI8LxlNpyhfiJR/CznNmdWyhvfZRJZ4FqkFEddvHrNkLToKxTi1PcWcHAalCSLvSGDKsG5AnucMB06uOKHKdQuOH5hLMp+ws6iRhAFpOXHNRzFxhfu4pIE6qnV6kurZBpC+hRhlGkTGY91mpNWpHDVhGgnlgkM3PC0ZAbB12auoW8dpPqTBJ+aIHJY48QzTVo39hgb9ClQBCXQgpRoNw9wlA1KphksgSRT23jDuHOHu7mFv/w7e/jTz/ztdUxJRQFRygcqjn1TKFi6QR5wsxUcXKdnu8xkDmO5aKj0CtCalIQlxx8CmSa4iYFQ6VA6hbSMFDznEJKhFAQSBRN5aTpMK+Z9G9vM0ln1EcKhVFitVVDL9tUaifxnn6BwB9wub9Dx3EplSt0TJuhn7JUadErCwzLwFpZ4dbQR9sfMjceM45jvqgE1BpLtEyTwTBkmHmUhU1V0dF1g1RVeHhckOomzbVlrBOLnNyaMisK0nDGtfDu61rn4zD9KvyZUxcoxkNc3WHT1tnwByTNCs3lecb9ALVe4cJ4TFrMGO1vkxgK07JGPpOkBUgpyfMMLcvw8hhd0chEgaXoNHSTKEu+1DkV86+6n+NDa0+Q2nXSyYCZyHjnmfu53tvjZGTy/qSFolY4KcdctRRqhcYTsxI3Gzm3728RzHocXLnFZHuXiQLvtZc5Lcr0sgjbNanloFo6R/s9fmHvDm+tncS6nXNFHXBdBFQKDe2gy5l+gLnZZVqpsnf/SdbnTE6fv4AtM7Trd5kdeeR9iSi5dCYBwwKyskA1VSr7MxLPp1skFLogREWpW5TCHm1tgelulxcfv4C3u0118wCzyHFMhbLpMFyeo10IVFWwuXOd8UOXyN75MPZsSjZsEb6yjhjskKqCWr1F7vVwc4E1jbk2O8DWdL6ncZYH7ob8TP8Z7kQT9vOC9MQ8U6eCCCYkW12auolVdUBxyLwEUw3IvD0aXsqCXWLPNPnhJ97NDz//tTMtyt8/3OUHO4ssxjqKKhjlgjnFIvNmSCFAQJ7nSFmgmiZOluFKQej7KIaByKFsmDQsg6veFF23QNcw0oIiz0lMlcTQqFyaw292GO100TstvKvbFL09gnaN/k6PE+dUqr6PF/qcDyAdx+SywLt4hhXNQc0gDofEK2vEYcbs5ktcbCxxiEJJ5jiGSkUz2DzaQ8tyOoZNkEXMKDDSCJErtO+/wEPtE8hDjzEWJ1WdO+aUI1XFjovXtc7HYfpb9EP3PcFMS9k8f5r1YQ9lVsIaTHBeukZJM5kPMzrOErdlwfMrJR7XT7C6tUPJF1zVQmZxgBXFlHQLV9fwZI5WqIQFqLqCUkgqQlLkGfOGQyJzBknEaqVKr62zp/dY6FRZUjR2TrZ4b6jwrrhBcWKRyczn9/UTHsur5PWc3smIf7tW5+LiKUYf+yWU2/c4Vyqxf9jlWd2AislcUiWZ+QhbkFYckjWXE8MB9+IRlw/u8ZZhSO1kHWuUkrXaZI7FSEiK3W2sbo+5qs3+Jz+JvblD5dQSw7k2sphRnUn0oQ8PNNgNNKyjQ24akrKIGBU5ViKx8hitVcG9oyOTHs3dLltbtzk310I1HKI0YbU5j/bkwwz+4wHj/S5meofBfJndqmDxHe9h99deRul5VOcaxNdvM69ZzPwZHRw6WYF17iKLG5uoUuBqJh87vEqU6SxZBpNTa3g722jTLuUCZJ7hFyrd4Qy3LjBtl1QxMR55D+7RgJG4xnDrHrVv+ga+t1lisr/Dv7t85c3eJL8sRV4QqQV+llFaWKAdS6xeTjeNsVWDrMhRNZ3E1ohUHW0ckRkaOAZFmLCRBCwYFm+rL3E38vDIkXmGowgsRbza3TyG8NYGTaEgpjn6KOJ2nlDvjzmLhvvyLbpxgKqoeEpOUrZxXActTRg6NVqjMfriGvdu3UXd3qVIQ0azMctOm16aY5gaRTgmyxMahkNQSGIJc06Z1UaL7fGAlTPnUBWXX3jmUzTWTT6V+dTrFrlrME6T17XGx2H6Zfih7/hd9MYRJ/cHrM+VuS1SmrbBbsmmvLpI96jHxd0eolFn/60Psr+wSOvffpySXeWZC2Wcay9R5AXNNEVPY0QBQeKjGjZVzcJSNdbKbXb9PnmRM2e6DLOAQRrg5RlC1SmfPM+RAe3MRE0zdmsm9SOft+87WOU6aaIwl2r4cQCNjO6H34OBwRmnhjPNqNTWuBK/xL2yzdKlNdYyG/uoS2pkKIbBZMHldtxnIkzuXzlL63DM4XhI1bS5HRfkeooqJFbqUzQNmpYJ5y6R3b5GfvcKUymZ7Sl0RjExAmNzHdPW2e/mGJUKhaGhWZK8MU9pmjHbPyTYOkL3SnDqJGuJT+2gxsFgghEkmI1VIm+fUf+Q5N//JFak0dCgqyZ0l+aIZgHjn/lFlJt3GXseW5Uyka2wsrTCmXjMEZLa2VW6wwHt9ASLeYkb3Tssz1KG0qZXtiiSDtH2HrVCkKQ5qzl4nodfRORBCW/pBBU/IFQNOnc2ebG3S2k65ebHfxVRr2LIjO999zv5p5/+7Ju9if43FbqOo1kkMmU26bOnWciSQe4laJqJksW4qkoepgS2zogMkYOeZWhCoGoWhmqQmxrJLEOXBSiCWCikfoxVKWEurZK3NGK3DZ+8TpjGNBSDVatCrGtsmYKyWaNXglmWMLM1NEdnGsWcs3MmJ5bp3bpNfXcfL41QixzfHzMLfYosR/gZUlVIZEZBRBCGTOIIx7KoV1osmFXO7ks+d/PzTFKfmRogVEm/4VI/Ciml6eta4+Mw/a/4i//gfyN94Qri6lVWo4QZBc43P0V0/RXs86dpDJsYugFpymGtxoO1Ra6YJnqawlse4ObpBZR/8q+oIJhmIREFmhBkZCgIpNAZZAGxolHKJC1hsZUN2cxSijynLBQsATOREocJp6TB9nTCF/u7tArBH1l+B+tGmQelijKeMvF26NULtt71GE3zDJYe8dT5i5SrFTaqDoMXPknUHVAkEd75ec71DIQ/49B1GMYF+fYGH+jpLBxlCCTzrQq2oVAyFdSKTdYow8wjSGH73m3mZzHhdBt3pYa6GZALwYn2El7d4kAk3HBVjNGUxTQjNwumWoRvOwRHO6DoNBZqCLNGtXmC5LkXyRWVsmYyXVnhlftWWbyZkOztUJuvkDfmye5vsjfOGEwDVqYhvPAKtfsvMJYZ44NDHNNkFEyJu9u0U4NoDuKaxv5JF38/oHZiDZEXVHe2ifKCg88+h3vYIxeSOdNhUbE4zFIiWdAoSuz1hxxGCaumwy1HpRlnxIrKqp+QWAnZ2bOUzl3gr5U7/Mgv/8ybvbn+V/34wQ5/amEFaRmYuWSqS2aaRLN1pBBUY5PEMUn9kHw45kSpirRtDiZjFEWhAPIMJmGAAuR5AmhECkQKZGnE+sZtrJvQLZk8gMqJ5goEM4JKie3CZ5qlhHnOqNAww4xlL0WpWawtLaO4DXq9A8rjKYUCkapgCp2yYSCLAr9kEuYZdtWlSh28GROZ07AsEim5PDjkG7V56lsTRtmEqlBoVascTkfIe30M0+Kvb915XWt8HKa/zp/7s3+WE5mBPLnIeknQ/+QnWejF0B/RlzHaOx9lEE544J3vIM0KZus71MgpWTo+CpsNBbVmk7glPn70Mic6FVazAlGkFAJczSTNcxQpGWUxJ3WHiSoYxyGWIjgsfMIsIcgyNARjWdA2bZY1l63dOxzaNZpRxiOFQk7BxtEOlVKHYaxh6gKRw/Y7H2XpQ7+P5ZNVWq76amgjGTerWO0W+fICM3+IYqVszuc8uGky7NRI99f5oHGG5kFOmmYUQtKJDZqqw7qSoScx6eY+Ya5RRBmRzOglMSAJ/ASJZO3uHkN5wOV5G4FH5d6MtF7msOGQjPpUKgL9cETLsbBihURTqD76OGFhMPUynl5UqaydA9vEUTKmaUxT6CiKTbHWYf9gC3ug0Zirk966wlOXLlFfWGAlEVxdcajWGpSvrLOWGkQth2LQJfJV3GqNmSEo5hcIN/fBNMgin1oa4bs2WZxypAgWa3WKQMPWBeLB+6jevkmpXCGKAvT9LuaTTxDcvkZFaNBuEgjB9t1bnETj7zzxFD/0/G/vnv4cIE0Zqwp1vcZaADKM8MmZ6BoVoTBBcsKt8uDb3oJ3usPu//mzaIApxavD7oUhhqLg6gaxUNAUqDk2arPGomYgWk3UuSbSKxgYVfIgoCg52N4QxR8zjWYURYJuqZTKLSwEujdjVbXoqjlKFNErMmIKcgl2njOIQ+xcB1Uh7Y2ZaiqaomI6FgIFLU3J/ClXDckLyT5TGWKaJvveFJEWRHnG5PW7Vv//8XUfpj/25Dfh97Ypnnwc9cYG5sOP8PInfo5IMTmxfYDSXkNYBrMg4ejmbUYlF/HKTZR3PMZcZ47SvXXkk4/T+uVfI19ZJS6VyTfWeeJej5NXfpXJF2+QpwkizzhKAgzNQEpByyhR6CpOppEIhSAOaKomUzWkkDm2aSOTlFmecRiHrFkl5hUVk5wjcrYKH0sfok67JMYJlsttNmyJe3qRCxfrOOqXJtaRkqKA2a0t0nITXWRoOqReF6+pMQsbBI7Fo+VTmAc+syxFiAJpqTSkwm4RspzUebEIEKMEt2rhahnxUpvm9j6RW0VJC8LhhFL+6jgCnl/gZjm6pVIt10jGU/xcwZQGYqFKGoNIJA2n4ODWXTQ/RNRtpFFi11JoNmr4O4csxBmqYTCJY4I4QoYu6vCQtVKF8rnzLIcZ7RgeH1qoWkT/TJUH0wK/UyavmRSJR3l/yDDJid71JG6tQ1nRqH7o/dhkaJevUjl3EvXyNQ4+9znSScYcFrOK5MhOSb7rQRR5luTTX+DSey6y1T1Asy0OphOK3Qilb3Ffu8UwDOk3X7u5hF4vQiiEaUYtFxRhBIZJrAcEJZv5SpWzb3mM3nNfpGaYlJ96mPG9PSqaySCaUVJ1HM3AUDIsx0QrOZRQGTZLOG6Fcq3N1u4O/sYu6tYhjUffgVlpUn/bA9QeukTqjTn6+V9EbO/RKVTmRjHtkUlkwF2/x2d7V9HXOnTcKmoM22GKVbx6hyCKYBAFONUyYZyhuRZpITEylZJjE4UpQZoxTKbYhsnK0hrdgwPSKEMRgqrtwms8EPRv5OsyTP/Of/cHKW9s8U3pMj9px2RPPEKgZCy89UlGd2+wsDaHNxgSJBlePEQvabixibXdx2juwqVzzD73HLYUWKsrlG6vI/7oHyZc38T/e/+canuOYv0ee90ReRiQy4JEVSgysISC1A0W3AaxITlKQoI8RRY51aLAU0EpVJIip6QoFIWkrOgkWcrIn6JKCBW4YLW41FimpVZwFIs7iscrFzpcuriAoYr/J0jDMGX9+jbdjU1W3/ONyLLF7c/8CsFeSLgbsrPcYCnS0cMpOIJ4rYasuUzP1FBNycEnX+JPjGqIBY3NIKEgpVbVCTyf0HFQaxrh7RF6yeXw/tMMX36J5XJBbDpk0iXQVaKZoLy8iGKEHB6OUQJBo1Nns2ySGA4r3CQLJaVpgNFaIpE5MooopRmW45KcusDg3j5nRAaLq5j1Oou4PP7T17GVMUZY8HZjym15G69tky5WyR2FkldiVoxx4ozs2gbybfPc/vYPopRr5DdvYzz2IHnFRBiPoLzwAl4+Rtcc9Hc8SPzuU+SDgmyzi64ofO7Rczg/fw9nfp72/Q9gbe6jbmyx24ip9MaMzl94szfr/6Z/vL/F//rEW2moJlXVwbIdcqvBfikhs3VUBSaph1hsEl9aobo3orq2wFpvQq5pjC1BKgqiJMZsNulHGYdC4wN5k3fehZ/bPuBuNqXZ7pBtbdDTdzFOrjCvweLNHmFngeoDj7L6hbvUDu+g5TmekrPpd7G1DEPTueL1OFtroaUzpkVMlqeYCCzdhKRAcWyiIkNBJzdVJiQUSk6igMxz3HqVXhEzSUJ0XUVBQQHK+XGYvqb+5kMPEp8+gdI9Yi+OONAyzgqHLauCUquyS0pr7TTy3heYv93DnwaEeY7bWaA5OqRx4iTRxjZJf4C736P9wEWs9yyR6Rq9f/1/Yx8OeHdqE0Qas90e3nRALnMQIBFUDQuhaJAX7E97GLbJbDZDLUBRVLI0xi4KFswSQZHjZRFCSjRFvDrArlFG5DHfNfcATWHjVOYZKj6vxEeMv/0bqGop/a0+RxciOo7FOMwZ7E/pfexT1C6do/XkY+y/dBXhlFByjXrrBKWjCc1Jjne2xeZTq1x4YczynRkvnzeZNU3UmstWw6ZRMbjTvU3ZsNg/HJEmKd6Zk5zpHhIuLjLTNaJrt1k4vcAsL9BGEQYaoibJHjtBfBhS6kbUA0m+0iJOEtpJjgwVVK2JtCXEU+Z1m21FZc2MyRZVUi/Cu3md0+t7jB87j9ffp9Tb4dLlKa8MYMf0+ZCyxqClM2eXsTSVmZ/gl6u41ZT5SsIXPvQogVlDu3CBaDhGECPSQ2aDI3RlkdI3vJ+5zzzHwrUtRlZB/0yTlfMf4PBf/STqJMSkoP+Jz5IuLMB8gzvSoP3I46ztbOL+u5/FTgrqN7fe7M37y2Kevo/r3V3KuWTU2+Ng0MP0HYxWndOTGXp1md7BlMqzV0mnU8ZHA7xc4pcNOqmG0ayglkps7e+x0J/y7XqbR/HYjcdspR6lWhnFMvD7e/jDEd31a7R++n7On3sflW97F6mMMUdXMKRAMXWEJphXLPaDIbguzVKFU/YcO9mUKMuZFRmGgCKHSlFgo5JnklzmpEKgqAJpqqgqmIqKmuX4kwlFGJI4FhgK/bzgb2zeeN1r+zs+TN/5vrezsLbGwsoC/Wt3mUOjOpygoFBVTb54fpG7u3cxEIzvXSdaXWVuktEdT9DyhFOZRVFu4DpTgiDmTKEy9CMsTSc6GjH32XUmWYh+OEIPUhbsBpFaZl1ICnJ0RUERgiDPKKSkaVWpWDZDGVBtVtFLOvu7B0RRQMl0edhpEcqCQeKj6DoVqQA5o3TGTOQ0a/M87zh8q15H2jaf2L9GUncIFfCWVzHGAU9/5nne8eQjTCYxB7eu4Ksprq1xdG0dza5ibOxjTRLK3iHvKZ8ldQuK3SnxMGQ29Xm2OWP5hkTq87TcMi9deZGGn1GOR+yXl1hVNDxbI+4N2M4Eui2RQ49kpc3sHY+h7+/TvrHLiJxZfwpSpdEPiQwFu1pHL7eZ7GziTAvis6fY64a4R/tUnTJpljN65EH2Pv8sS+VTNK0xK4MJNUNjHM8wvQg7jEldm9tpD7WI2c/7DBSDhSDCrtTYEpKJ1JD1Gomyx3TjgPjJE8hggpFn9G9vQaHSuO8RarrJzuE+Dc2kX8TsypTw5m0OjJ9nbn2P3toSZhBy2q3hTftIU+A4BtHGiOcGE05/07vQn79OvL35Zm/qX5Y/85P/jO+aW6RmNojSKfMStMGYca/P/u11SuUmU1vn5q+8iO44GPU5xoHHOJe0pcRf32CWRJR0g/cYq7yXRX5i9EVuFUNKpkW5voBst9i7/HnmhMrS8gnMmYrY3aX0T34Kz9FwRj5WlnL45BrD+9sk//III7cJTAvnxCKjwylJllHMVbH7PpKcPEkJFcFhMMFQVPRqmSyOMYSBWa9SmDpGf8ZaapEHM3qWxUKjzsAsUOPfcP6719zvyDD9/j/8Yca5x/rGIa3RmHqpSsVoonZOcmFzSLW5zI3hPjfTKZ/en6GLDFf6nLJdFgYTEBaLlROcrzZpFwY/ORlzoCrUajXc0GCch8wUqFSr9EWO7PZ455/8cxy9chmvXmN85w5OnDLRNdRCMEsipJSYisp8ITDbc2TDXZYb81h5iWgyYzQLGRQpeRpS000sVcHKoSQEmlCxnQaPN1bYnH8Hn3IXeHB6l5o3YLmAXwu6bHzxGZbdd+E4LsrTn+KzL71MMRoynG0y6nqs3N5g4an3Y8/X8Q4HXCoM3irmeWX3Ni9VY6ynHmfgeRw9UkFePWSpm+MclCg7JfZaZS4ZArdpsVerUsQhARlDR+OiryDvHLCrZFQ1nfKz9ziyHXbKcPLE/Tif+hz9vSHuhQeZdW+CVcVWBJFhEBkK/rTP/IX7mCYBWgHaxGM+T/EuXCK5cot8Zx+7s8hWxSY2DUS9xMmtmFlaMLewxH0LiyS7Y5JKhowiZsYM0ahxcjBFmrCbJZS9EHH5CsF999PvHaLqCU5mUG7cj7OwQOloF6/mEJ5f5ZTrYq2dZ3P/AOE4UK3RVTXMoyHmtXvI/BaVD7yXOQx2v3gV7jtPPvX4kZ3Xt6f4tTQ316R/NEFRXh1kWc0KXMskLDK0eIYxCUkOj+jmCffbVbJ4hiMUWksrOG6F/SwhdwyiKOaW6DOxC+q5TaKAKTO06ZRzmJQVjYNwwnSuxAPdPkiBq6vkSsGRFrJ9qc62MmO7GLG0sMj1uTpKq4Z/7zMIL0SXFg3LZeqNUXUTP4lpOQ55lmMUCqnrYkqF+tJJZLOM7vTQBxHtPMK1XPTFVcpS0r+3+YbU9XdMmD71J76LhfvuQ796l+HN2yztHnEoZqS5oHpSp+V5PJwoCFXlhfsWcT+9zynd4PF+j837TrM2jhhOpkyrVbpaRGjGLAxnbJYF17auYc0vE5JQt3WqhkN+NMBZXiV2y4iDPV748R/Dlhrqh7+d3DSZ5BFxUdDSXNxMvjpnt2Fg22WUcY8SKoPxjJOnVpHTGQeHR+wGM+pz8zRLVdQ8ZFUvU9FMFMVAaS9ys9zgVrqItA1kqrFtw2jhBF1xSNXzmf3SR+h98P3cPdGh+qu/RiPPCXRoCo1xv4sznTB89mmWpx5zrYuUhjlR02Lr4Q71JGJw9SbKW+7nYqog/JCl630OVlUmK3UqXZXLp13MwyHoOu0kQfVSFDQ0Q6MTxei+h+cVpDd3qdoVps0hsePSCjMa+xMaOyHrC2OEq5JJhcGgB8MBdt0lnIXoa2vgB+w881kWOiv0Uo/w/Brz04TGW99O1N+gmkPdcLFKBsW8xUG5wsFqjcG9dS5abZKSDq066sEeMVBCw90+JDl7Dn15EWttnsPdu0y6XUoHN8m7PRZN49XR9p88QTc9ZP5Eh73bEqs5Qbg29s4eh0cHNFSBaZhU1g/wH3uQB97/uxjfeoX+azj3+hthZWGVNNtnL56RFQVhkaPkOXmcMCvrSFlgFRkd3WKQhChFQSEkvzbapdBU7pMK+SRgQ82JkehpzkAmFEjS/R2eKM+TlZpIRRAEAUV0iJG3SRyd9fmU3prJ4MqUpY1d7NEEphO886vMfeCdRE8/y/p0H1NAWzXxkwTNsrhPrbOpTJG6yszRUfOCjlGiJCyuaTlZllK87RE832O557LtjbktQwwEDz++BLcvv+51/ZoO07/eWGCrbDGyDbT/8Gt0PnuV2tnT1OttzFnGw6LJfjihNJ6hVEtoeon8aI+TWxEitzhSMxasJoeDCd3zZ3DLLrc+9QmUaxvcTBMmhssFe455x8HTXz2RHQuDKEmx6y3UQY/F6zfYX6qgbI/IC8Ho3/8s1oX7cVZOkW/fY9cbYKral6bE1RkToGQ5LdNlezJmeh20+Qb3za/xPl/Hq9q88tgKymKL0fM3SKMETTVJVYPxqk1JPSTc2uWjRkBvocRwNKS5dYisO4jRmOznfhVPU4grLs3Ta0z3BtQVk2s7W3g/8eO0o5T5Bx/H08v0pxNMzeaxm32etw5YMDWKUZ+DYMI4tXHzAKUv8KspnxOSWy/cY65aJawrmD2TUzjMTlfpb2wR6xaFlpEVMWXHJYlCvEjF/dC3oD7/Ijd8D9G0KfKE7JXbpEFAoSl8bGOd9zomZ80KehSxo6lcDBSODg5J3/sNhLs7vOLMeOLGbTI7pTHI8LQSIyVicPce+doc2dSnMQzwl8poOWSGSlo2ySZD4iQmlimDsoo7mVHYFk5h4g99DjdfJL5wFjORlNIMmYwYKR69K9dY2o3JShU0f4Yy8agNx4wsDcWxMZolFrd2WF9ycbc2aaTZm70r/Jb8wK/9Mn/+0sO4WUFeSDzHQqYZZ4wSUQZ7CJIiQ5EaUZagCTBRaHoxOTCQcELRmaYzpoSULQdbdzCynLc1TnKhtEA/nNGtGZwvMuxpSOAItlcSnmn2kKOcC3/gMdrzF1D/r49zSXN56eCI3R/+O+iziFW3wYnGMtNgyu5sl3O1Divt06yOJ9wab3FViWlOJU4eML3QQHY65P0xDdsmqKvcatX5N//qFsNxgu1otL7p9BtS16+5MP2Tf+5Po/37X6AYjvCKlFagcF8IZ+xFpppL9+QpuHSW/MYm29vb7H/uU9TLVbLigPa5h5mL5lj0MxJvyk40wq4tk2gZrmEib9xmYegRygIvz9AlxGWHcF7HzDXMRCU3BdloiNQNur0JnibY3+lSjSQ0SsTxjL4pKGkwf+osyuY6UZFQFPBgeY6ziyfJ0hy3UWV07UV2jrYI3GWStz7BxsMPUIzGsHmP8fPX6KwfcDQvMBotfAzKm1tEk0PUA5+kAM2vUlMlocyZjALUgzGn+iFuzWWqLtLPJIEKh+MJp27dpZ2nhIrGdn+PJxcv4SspiZrzjpGJJftEImIjkdiKwK2ViQPJ8kFE2xtykPpUFYVAzpikNg/4CUrJpD8NUBWJXjGZTSLMsYKVKuTNBfpFjHf1Co8ddPl8y8aTBU67w+jwkFHk0xsFJJrk6mAd6/d8gFP9fVZeSRhXG2y6UJkM6DRqqIMhim5x5tYeTbtGr3cXUQgeryxR9cuEw4SNJMdv6tgZ5FFAgUTzc3IEJdPm5NaIqJWinD+BNd/AlRJPKaDdQJZaFM8+j8gzwmgRcfsKJeFgRDnq1TvkSYx0DPRccpjGnDjqEaiC8IvrdAYBhnj9e4pfa3GW0Itn1HWLeiwo8vzV4fSSgjlFR+gadcPGcprshCPSIsPNFVRFoSY0ZmlMrmloQmEShVR0F8ctcU2N2VdHBPd1GO/sMOdprGo6l1WfiZWzX85YajXw5lr885/8aYYvXcUMQib7MxwUyk6Zsj7P+ybz9HOXYXnGw2qDE31BmNncUFQqik5wosqaYvAFGyZZwjjzse7cQa+XmE4mNMsVhv0+cQL/9O//3BtS06+pMP1zd64xGvQQgyPUn/sVELCsGdxXXmDDnyC6U9pJwvDOJteKlNLmOna1gjfXwBpM+ER0QHPFYWUjJDg4JMoy3IMddK1BcXDI6nCEktlM5uZIMknHdBlpKWWjRKEqTIqccpAw55TQ0hyt5ZAfjqjGkkqrhPFoh83NkM6ZM7B7wMybcXrlHINoSpbEzDQD4ZZorM6T9ibM15p0rDKaU+dOJtjZvkr8mWeYq7TIu1NSTDSthHdrh+jtTzGYU1i+GXJpOqU5kcggxj+3Qtc20KshceUMYzsEt4pybRejUsYeTVnY2Mc5eQZxeMDK4goLAVx4cZeAlHdYNbwk5j3GGa6LXVbWA+7oM2YLdWaqQuAW1HWbgUgQqk6j2kT4AXuNnN7BLm1rgaxcpRHkGCWdYDwlDCJ2shh5eoH72yuszy/Tv/kKpbpD58knqYw87P1dzHMXmDt/Cv3oZZRxxFzX5PZ8jc/OeriiwZlPfp6FkceLyy2+sNbGzhe5b+ARd6o0M5gkCWNVUOgFVga5qRHkGUIoKLFkZ/OA0dI8g/OneWAoMX/qP/KJz3yC4MPfAcsdxMEBYa5y6cx5SkdDPnmwRXr9Fm+9MSJtwIGc4qhQ0RVKmoNQDbSVOebv7pM//ABHL77MM96YpmG+2bvGb9mhzNEyiUeKrju4poWeF8RxwEEc0LRtCllgGxbvbT3AwbjHZ3t3cRSDgzRk3i6RmzpZkuIrGaPhEU3DJPUdovGIdhZyXm9gtS3KjRrezpSxCiUssl2f7ktP88pnP8GSplLRLFpOGdetMByPCLUpz09f4m7moVYsXi76XC2OqOSChqFjVlzSSoVnw4RfutqjE7ZYRLC1IFGtOvt7Ed3giCwtUN6YvifgayxMJ598BkPNUN72JJ3PX8E0dUIJn9jb5IHmInNanduWw+T0Ge579EH8wZCjZ58mikM4cwbbMdhkyCjcY/WRi0zCKcY04dLGIRub2wSXzvJop8GLcQ8ZzzBiha2jAU7oU7QdVMUlNm0SP6RqO5iOjjdLkQrsr86xImHpRIVZEeEaGq2Sy0DXMSsLMBwT5pJPbq1zYn8fJ/GxgYFqcjmacf2F5zlZd6j0Y6bTAyJd4/qgjzcV6FnB4i99lHPlNpkMkSWTzXRMqV1ny4Fhw6UkY8xMJZsVyNRnliYs5BonCoXowfu5vHGTB/yIRqXNZWdKnoQ84qxheimZq9EvQhJfoT7f5mLhM0p9hoTkeYaT6wRVhdZwSuYa1FUYdUdcVAxGswhsm0wTiEqDZi6IGy5zY5+5526h//6L2Mtz2NdepBlmmBt7+FJi3n+W81Ln+tYutfkKu1s9SpHO1fkybm0JQ1XYW1EZnFrGWFxBLs1xaWZxbvMGV40Z3bkGh6pFPNqgE+e0HBMvySirNkYBxjRkMYRUt3hgrLAwK0j0Eq3PPctmo0zn/kdorj3AntdnZ3+L/GCDUTJjyTLp1DvcIEMrBJqhM/XGJJpCmPuIgYaolOiFY14eDQmTiPWZ/2bvGr9lP33nFn9h6Sw+CZ5MEKpGWSgkUYEhJVGSMFZ0kmDCLAz4QO0+VloVfnl6nVQoWPUmZq3Ove3b5KpCUyljCYWJUjAVCft767xFHxN3OuyOj1DLBuNQYo4c0gWD/Nnr/KHVB1lXAh7WaizFNrbmsiN3OFVdxa9kOEbCRjajWW9xZ2efw8mYwcij1TmJ2zK4caQSph63r1xHLHfQb3W5dvcm7sI8tQceZdIdkGev7/34v97XVJjan3iaraUq5+0SzsX76V27zPmgYPXs/Vzr7xMFM9q7h8jHH8R75jmCm1d58Ft/F5/dvsPhyjzRbEZrw6N+MONKY0i71cF7fI3pz3+UtYMJK3eOcMwmb88dXh73iMo2TUXBcEskMw9lOkXW5qlNYvY0FV0qmO0Ss0OfYn2PoT7P/P3z6F+8TK1UZsQUa3GRWRTgh33McUw2nHJDN1BlSklxCdIxs9SjoRTYp0/iDYbMCZ1qxSX3Uw5HPeK5GoN2mXStQnhlj9hQcZsGfj5G3j6iEmaEqkRVNdy0wDRclsuLHMy3GL7zIYLNeyw+22W/SPGuf5F3nn6YTmceq6+g6DpFGPLM5C60K5RXVzCbLvnmXcIgxPZB81OMehkqJvF4ykjXmHPK5JMpRZoicolnaczf66LZJaJOg+ZoiztVhzz1sI8K2qbL8uaAmbJBouTMmQan9wZoRcF+Bmq9zlWzhJ4UREmKs1xlV8lxNUnJ0VBsizPdiG8cL+O2BF/IJeM8pIgTstGEdK6KE8RIx8FNEyJXJTIy2r0xB1aDw7t36EZjGqpFt64TVi0Sb4y+c5vB5B7x7euY0z61Rx5lv3AI6zb9F55jLTSY5BlOqcSCU0GurZJu7VJcuYFb5MyZJuth9GbvGl+Rx1qL3PCOqCiCvS/dKlrWDXLTRNV0plFAWswYS4Wnh3d5tHUOJ9okkz71Vp2JAh2pkSM411mjZNgc7l/F0g3KTgnDbaJqICKfeBJQW6qz/7BLayrZ9seYicbvbp9hqhUUlkrfSLjtGHykNmDYUFhuNdjcyrFVjwumjixV0MsVXk40XrzcZZarBGFGkWdshRnR4ZQ4iNAcD/9oQJ4UCEP5jadAfh18TYXp6Yv305mMiM9cIP0930HyJ78fN4uwsoLH1k5ztLFOnqbkL7/Czp07lFTB1rjPfJhgvHKTy0f71BSdhVlK/NmX2G+65OtrnD8c8HbR5iP9PRbrkvvdOc6srvJy0MVy6wRxxNgLKAwNJ+wzV67hBx7lcoWEAnt1CX3rEF4+ZGd9jN1o0C3HLLWWsO/t0tu+y+bgiOXmApNgiKWb1O0KoUhJlJiGUGi16hQL87RrLnEuuCsjyiqkniBY7dBoa/S8u+i7OyhRyp5MaekWFd3CNQwap06SyxnjVJKdaOM0mtCusjcesvrCdZbOnWR9d49bGzfYHh5R0l2WC4sTWoPPe/cICMg8aDtV6vYpFKGif/Ax4gWHeGdC8emrmLOYccmlFvnoioHSqGK4VdIgwkpCZpqCqsSM9wOM+UVWnDKzT34aezim2y4zWCuzLHXcR9+HcA2unMt4+cVnIFKxLJVWd0KjkORnTuOdOY21cQ81DZl0D2h4M4rMwysbPMg8epjwEbmN4lq0jibYix18GTMuaaxOM2QuWZpb5HBnj3uHn2Y513CyiANXRVdU1NRHztcorBVkf4fW5iFvGRZ0nT4bRwOUscmcaaFXK0hXw+2OUN0qwcxDjSNas4R3N+eJyflEuPdm7xpfkQ9ffpqPvOdbueEf0Z5peHlBoBsEcUQYB+RJzIlSE6tVIYgyAi3n9zYf5QvhPVA0LsYGev00RxWVu6M+F+st3rb2IEUyY8moYFQaXA928RUQ56qM3tZGn3OJGtB6/3kubFtYRpWPH15HXXA5LOv86xcOmWwJdMOkURvj+xmigM+WXAxUyqMjyi2JmE4QukXZkESFwmT/AM2ykFmGf3DIbG8PhMJSVWVn942p59dUmI4mRxRBztZogPuRn8N970k2//VzaHtT2sYFjE6HjVYZda7N6c+/yJZjUdrrYltVPE3yyGaXzSxAFSqxTCkfBtSkyfpCi8ahTz0W3N2/x36tR61UYS2Dz4ddDNfGivNXL6LPFYJ2nW/cTbnVH5A0WgzHI0qOQqdUxUldbm/tYb79SfxBFy1PWKt2aAcFbynmeNbJOIin+EmMT0COxDp9ioGRo6cBB3fXqVUq2GqCZqvopopzOMQZ6pTTiI5VQ12tcn39HkmtglFziYycq3Uw9wPc1gphY47YqRBVbJyX73CkFcRLCyxV6oy3dommA9odjXChxSdvXSOQCWaes6S7nPQhuXHAaaEgdlN2T6p4oUeeRmSkWLZFbpgM45ioZlNWHcxxjHRc0ijDm7NRo5TSwhylz19mWSR0H7jIpabLzsGQ9eVFpukMbWuAUggqjz3G7HAXYVSIbB/jpWvYgy7J4T6txx5mbW/M4MJZzn38C7xnWOd2vEEnMlGDhKdMmw0CVpodthWF6gz8WsY9W/Cw79Kt5uTlM3zT5iE3Rl0sx8aTHqJIcQYJ+axH7eH7MUcZCwtrVI82uNIf4B4dom96LDx0ibCp4SorWPUSSlqw4EuCUg21lOKrCjP/9ZlP6I1y93AfYWmUC8FhkZP5M5ASA0iFglR1vCSmVm/xswcv821Lj/IB+yFK4wQzzRCywk9uXydI+3wq9jnRWuH+1in6qcet6Q5z0zHiA2tEiy6pLLCEoKhC+tQJnvdjSrdGrE50SpV5buQHTOOCwrB5+KEm31Ivod/0MKXG1SIi6neZRzDxPB4rYiLXQktTnrVKvHiYk/o+FDlFXoAQCENj59pLb1gtv6bCdPfgANePaYZT9u4/wbVxicff+RALL9yl0R+x0jnB1vomcq7Fka7QMmrcqds09/uIW3ewZY4rCsYyRxaShXqDoNNi6M/YWDRxE52FyKJy8gQLSg0xmPCWouDlsqS2uEiQD5htDdlOCmpaidRU8IVKCYXaygL7BwNcTeK6NnF3hGNkjL0Ro1TlD5YuMqHgg/Xz/PvuZYI0oaIbVDHoHx5RmatQqWY85M5zpEnycg1qNmqqgpeTrS4ymQ0QlqBHgT7fphQkJJ0ycbWGEAZOHWZZiNbt4i5U0G9t4xkavPtJku4WI8Vm7v6zZEdDanMtJqLAtjVCPyQTBWdLLbw0J/VCqpnGyV/dRXtlj89WEy4IhxVhMHWqbKQxVtwj6ieEcoAynWHUO4SpT5Fq6JMpw/5LrPa6mG97krbb5NCwiZ2AcssF3eQgMpj6CS1vhLqwwqX3fBN3f+FnmVxsoZsWt3b3WNoo09SajFWFdmOBILrHVt7lbpHhZzHVxKTt2uydXqQidJYUwUEuOb035upSE02JKGUhk/NznNxUmQz6nMx0xi/12P7W+2i2KkRpQmUa0/Vm5LaC53m05ps0Jw6zKKe4N8QTY6azKUqlivBmNOKUqP/qf5StWu3N3i2+Kk3DZv3bv4lhEtJ+5QaH129yNDyiViqjxeAVKe1IxyTkvbVFnBMdRqbD5jMvYfoFiarik2NoKhcMh+c3rvDc3m1WLIeH04LgoXnG50qUOlWaDZc0SQknPkUuyY8Kuh2V1kqFIot4sR/hzM8hRMY7dJvHLmdsjWOuJ7ucMB2ipEAFbC+hVa6yP4uIiph6mGCgkygqUvLqvaeo2FlC8AbW8qsKUyHEJuDx6uhemZTycSFEA/i3wAlener5v5NSjr70/L8M/NEvPf/PSCl/5beyvKzd4tzmHQ7HY6pajPrQA9ycP4WeCPRrWwy6m1hqzqF1jSCPkKMZaWyg3LmHHof0lYJcU5l36yilMtkH3o85OOD9l2+yu39Ez1BQNcF8fQ7dmSfXB2RminK0AzIkb9S41LYZKhq+WsILuuTjMRPXYNwbUjMsovk2uczpDg7YTDMqGVwoHPoyIS3p1IoSa0aVrWxGkEaMkhmuXqWy0mQoYdIy2btyjaUn7yfXCozGCqoxJFZTUi/CL9c5fTBmd7mFaStMVQMnShDNDlZ3ipUkpE6GLxOuD/cpn7/IYnfIwjChP+mhzLeQaCTNOnNpgnr+JOHlK5yvzpPZOuv0qFUWUb0C4pTdWcB9RZ22brCcalzf8em6Y3JDZV4aDJQC6/waR6bklKnSUA1KQ4F/NEJrdRicOcFIShzLxsmh/9zTOBfOUj7/AOX9I/bu7XHm3KMMf/YXqbUqZOI0B7dvk4YB6bUbDC88RvHFa5y6GnCQjl+9D1tISmqJvAChCnrzc1ixwj3b5FopZV/J2KsoPGbOI8ZD4ijEnJ9jqdViKQrIxgGzf/zvGFoW3U4Dv6xTvXfA7nKb8v4BRXfIrshJ97ukeUoYxzR0i9wYUdYMKpbDslMhUCR/5foXv5pd6E3331/5HB/Mxkw/9D7Wftc3cBjPOON5LKgWExHiGAaG1IlmM/plnQXHoaaXuNNQ2WLI0fAIU9WQtkG13OJ361VUzeCM2WBdG5ImKc5mSOjn3PrlK+Rxwsrbz6DpFld3A7YPR3xua5/5c6cITY0nMh+xsc/KLOXFLOfAO8I0DUZpQT1LmOUpgaaRuilS6tQ0k3cPYuarCr+QmEy8V49KERJLU752wvRL3iel7P+6xz8EfFxK+XeEED/0pcd/SQhxCfgwcB+wCHxMCHFOSpl/uQtSdnZRWhrL1zaQU48DL0Z/6+Pces/D1HtjgvW7mM0W2xZUc5c7dsLK7hFJ5BPYOulch4E3Znp2kYX3fpBx/wjR3cWolbkUKYyVAlo1jtZWyIRBKodEsc4josrooMe1c49TO9dhb9SjvnGI7I2ZNVzM7QHNC5cYXH0Fx59BoXC+0sBKQ0qZQl4xuOHq1HozNvSQI5FzFE+J0ohZnlIOVWpBQhTGuI02J80yqp8xSC3SaIJ0y8T+q19n01KZuNGgcf4k3ksvUEwiPKXAb0nQdIpuD1vJcS5WOO2oiLvb1A/26Q0njLIU5XSbtYceYnjjKrpVgUzyzauX2BqNCPIMTU0gmSA0B1PTEJbDIgqdQYFfUqiMC1Zv3mXmCOS7n6AxDoh1lcPTK5y/d4939h2OLtzH/lKbl12FmWbR6MxTQceIU0Snw/beFqG2h3/QZeHMGmHYx5lNOf2FL3Dt3GnapkFlGKJIj739Z1Bap3hu0aFeLnNIhpkELE4Uon4PGRU8PohpJToH6RRlQWIOQ+bynNutGheyCmXNpD9nsqGqr14bORlT3dhkvjehFfl4noI0ShzOApwsR+vUUYqM+jhhOB1R2A6ZY5BrGoWi0E0m3IpSmnNzr8Hu8+bTtw/xPvJxbmwNcQYepQJOl9poFYthEXI9GlHVVXQ8vC8+w3ufeD+VSg0563KiUmNSZERFTJZ4PGKeZtGq4Jsqlx808C+Waaz7yOc8kmcPWFto4i8ldIsMd3ufc7sD2qOIypM6paMeK5szkkJjmEY8tnY/94+aXK4E9PdHbHoDDMNCqoJ0HIJhMksKRJrgNlvIMEMoILNXu5zC/I3qenrV6/E1/3cD7/3Sz/8S+BTwl770+5+SUsbAhhDiLvAE8P8n77+DZ8my+z7wk95Ulrc/b97vedt2ekxjBmMw8CCXDhSNKCHIXdFtxEqhlTaWihUphrgSXZAr2qW0JBeEJcDxFmPbv+5+/bz7vZ+tX3lfmZU+c//oQSxIghSAGWHQ1CeiIqtu5c0bcaLOt+7Nm+ec33Lt1Y0bj7m+k0N5qkTp9oid7ozbdx9RfuYqNy5tcG464bE/Y5wGTNSY0juPaWgZfDPHiZrSJiBjGDhxxOjtN6kYFt5hD1PKcdQoYpw+S7y5jtXvkYw7SIMJsi8ipKCh8AO3jhnqJ1QLFo49ga1NLNdDx0M4bPLs8g69YYfJUo6pZRFnlumdtFEyMlo0ZZba7LU6KLxbSC9MElLAFCUix6N0PsPgaISYzWBIMtGtO6iFApkXT1FuaExffoTrj7CnPrapkH/cIalapHMbLYxxk5CiKpMcdpi+3yfdP6RgzzhMQpYjl5ysIHoJU2dAYpiM3RmCqBOIOqtWnflyCW/eJ4g9okTicS7kcn2DtabDoeJy4+QR89mIjdUVHnxgFX1llVw3ZDYcsNzrMv3g+/jyfpMz6g7zl07oXjuDbPu06DM6e45JlCXbsylvNhAu7rC8vUmwe0i9qHM2yeIEAlK9QrAYcUVWiScLnAc9Ms+u8mAlT32SYRqKaCc+thlQ2Vhi5XDKY8Hnfl1nOHAI9se8WcnSy5hcSQIOalmqaoWtJ0fMjlqMfZ+65yIuXHxZZS4JzB0Pt5qDdpOC4zJRFfK5LKElIIQac1PGJ6YYA0FMPpEpiBKubX/vvOb7yGecIf+VsInSGWBZVZbzMcVY44q0RttKECojvMWMsqoRGTo33B69ziFClGCqOs+bGxR0hT1pwmvChB8f6/i2SP+NPfpKicWZGvpmie3lq7R1ma4bE756l/NYjBKTkd1H6wyoHY1R4xiZhNF8xK/e/habhkXQDxFDn7xiUGhUmPg+RUlFy5XIannmvRM81+P0zib7i5TJ412SOMKL3ltimgJfFgQhBf5hmqb/CKinadoGSNO0LQjCr/99rwCv/Ya+ze+0/VsIgvBngD/zb7bXdR1jb8pMTUltD+fRQy7JCv7SCFUxWXn6aZZefoO7R32U2Zx6opIKCfG5FaqpyPu0PKNPfIw3Xv4CSRqQtPtkL1xhVMwTnexR8B2W5j3keMGs2SRjVjmpZZhHM877NqXRBLug4mcMGsMF/cYKOcdHev9zyI7DqzWLnScx9mRMRpawtRQpo2BOfZRSnlbcY0lWmUYBOUlDEUANA4rZDK2jJvX8Ncq7Lbh4kYkhsKl2mM0c/MPHDJ2QpDenRshoZGM+PORMtsA0TJkoFrGRQQpcpJLMZhTTdBao8xmT1Gd5qUJWThFknSTfYBDNUIQUhQyGlSN2JszlGDEO0ZUMchCiCjG+KFCaxHTigJfsfdxggB7Y7HUD5l/pYht3GCcR/c0NshOQ/w8/TbN2nqjTxhZT9CcdtA99CPnhfXq/9gWEtTLueMYsSEiEJ9TzJWZRhDpocuwecro7YHO/hWgVMHIFxmoGdW4jP+mhrqqMQ5+DnMraudNUmi2C1pBOVub2epnVx8ecs6FRXOFLSxb5jEaraDGKInRRYDEZsifEFBJYhCKzyQz1ygXsgyZZUaUrQmU4wxAgnfrMp3NCUkCgkajoichEjAikhAURXiZFk6Tv0n1+7/DRQgN/4pPqMS1iYt/nG+4B21GJtdVtblXhrSTkA16G8ycud7UMr3WPuO+7vC11+GT2LNViCdMUcUWff9B7k3v7bdS2ydJzO6z80AXaF0vM7/TRvvWYggMUBfJ+wpmN80wxmAcJA29OTtVQgZwI88RnGHiYgogviZR1lbKWZTlb4qTf4n6vhSBIkDGprJRxfAlZlejduks6evS7asPvVkw/mKZp6zuC+RVBEB78e879zWIRftO/ju+I8j8C+I5QA+AKYGsCvVKOUx/8MMu3HnDcbHLusxPka2e484kPcb5R4vSdXZZsEXfd4E0rZSSlbK6fQd8+Q1rIstwc4pxaw10rkX3hI/TaTeahjeHMkToho2YfNVtm8cHnKWkK7ucHdPQxRkZlbknozgJDlLF7baRz54n+0E8Q/dP/mfXb9/HigChw6c5iSnoF1fUhTLBHc/zxiFYUIscJ8yhiHLlookS00+DaMGaSryDT4a5XpWROGWRklJHDxt4YaVcgOr1EZfMse50ms96Eh4sJSj2DMheJo4CpIiJECV7NQqsWkf0slVHMbBHjyRlSQ8Q0BZYKFouyiX2rRc61CeOIRBUJp1OiKGHFLBHosBLq2EHAwJJ59mf+IoOvfo7BvVvstlpkUwPXVJm4Lkq/Q7pzhs4//3nCBOwn99lPJfKJT+Wtt3Aunsdvhei7h/iSgFmsMw9jgluPKD24g5LXmNoLHm00KDdqeFLK6so2WzmT6c03McYJo6nHvZyIPZnQ31gjbxYxvT7qbMrd628gRyqZzdOEOQ3JX6AdNXFLJUaKxIf0DF6c8Nj3qV88x/rLb7JULvHyzgYXBxN8QUZrd1hEAa4skQgpeb1MkITvvgIfX5KYbBQQZQvDjAmfDJEV9bvxnd9TDGdTlvU8gWGwbq6hyypfiCe82XxE8eERVtvCeOoiz3Q1Zr0m5HVWyyVKnk8kwMvhIWL/gBXdYknawsipnFJKVEJwhwvs0AVNpWRkqNWqOIKIM10g5zKo5zfoPnmIgYgqvFtqp2JlMZOYycJGL1SwZxNUSWElu84ZscpqN+Zvtm9QKWaorda5d9DhfEblS//sH37fbPhdiWmapq3vHHuCIPwq7y7bu4IgLH1nVroE9L5zehNY+w3dV4HWb2e8XUNhPJsg+gpdXWEazBkP2iwqdRr7RxyI30b62ItsN/s8GfbwyibNOODpjS3KG6dofvoLhAub3MoSiSWhDgYc3HgD52gXy55TTy3UkUw0D+mYIZVul6DbZcMq0H7GIhrYaM02brhgnDhsDkOarkv08isstVsM1IhynEV2fQYLB32WIegNQTMp2B7PZJdRTZP+qMOhPcRNZNw05mhvD0Evs/TmTSxBIuzeoWeUmDx9jtzDQ47LJYypTTq2Gcj7iKKB7PuYkcwikBj5C1ZljawhEo1dwkIRIhGnHzCe25i2Q2oZ5HoB81giGAboPuTjFHOtxLwukZgGjVFINHeoYNHDw5pHHFsLhIzO6PbbzHsndHyfVd0kEQVmpRJxMU82jug+vMOVH/gwK9+6wchxOJNIzF44zW5nj8bd28g7KzjHbS4YGVqjKZoso157mu2RzdHjW2j5HNY84sMvHZI1LfyGylt//KcR3nqIXFDYmcb4U5uvtx6RPthDrS6xPYsQY4nTzQGXNs8jhAFNN8abDfnIbouMOuHJuQ0e5PN4wyn+9jJ+r48lK9z90DNkXvwQ4t19Dg73yU3HRBIs0ogN1aAtOgTEZGKwwohQgszFMqOGhniji93Y5v/1+d/bRfR+O/zRuy/x9h/9LziuG0yqIpMzOUqpz/n/z3Wau4dICHzw3piCbJLkcpQ2GxxezFG4fcA0dijIFnKUEAoCh37Aqm1x1srTXRVZfGIVWVERkeiLKcbTW9RdkWynjQXczKVMzCxTYYSmqaSyhpCmaKqOIcuwtor8cIGdBlRsCQOdQTjgbw6PYQjsfmcO9/f/fXO5/+35HYupIAgZQEzTdP6d9z8E/GXg08B/DPy17xw/9Z0unwb+hSAIf5N3N6BOA2/8dsbsTvsgCpRTAfHGG0zDBeVCgZVSHef55/hgPsPS8gY3559huT1mMRjzAcPCFwXaD+/hnllHDRIGYQTdBUrFRHDH6KbO1v1D5JLIY0nijiWxFQRwNES1B+zrCUr9DLYxoVauE5sq+rBPf9hm2mmjtQ4YpxryNMVZzbA36ZI0qhREg1g3cOMEJZ+jOXU4fe0M1w5qbE3GHNhNRrpAtlgmt3WKiQV7Dw6wMhnOZrJ0hBBFkfCjlEgWyMo5hqGPWivhixXkkwmGD1k1g21pCLqEIYpgWYiyhtFxEA0VMafiutCPPcTdfaqbS8xmNrGgUNUtJq0e6vGUj8xP0ZdlXtoMOFQVfsK2uJcuCKdz7vzSt1DVBLVgUj5fx1dL9J0RW4Vl9kUBeif0Hz0m9Mfk8hZRtoy3t0tJipmIKaqgUDl/hmA+Z6FpaDfu0PAW9AplMpuneLi1zrmZQP7NMeQWqILLB/7Gz7PvSSgI7Not5v0hf1iyeNg/oW/PyW4ts14s8rEHIxbNfcxxjtOqTq03YqKLNAd9gm+c4MsKF/0Epdkmf/USvZ/6OP2Syc7XXuM4jZjlLYgixPkMxczQiR2iOAUxZZJGiMgsPfUMJ3oD7ryD+8TF237vxeP/r/GzwiH5M2e4+8ZN1lafoVjPM/3Pf4L6597h8rcHTBcJ/8D/Fk+tnKZ+4LOse/TciCtalUyq87I2ZSOWSDIiNWMFe01jvhbijBKUOCCT1alcLtJPYnZHIZntGkZeov/tHpnOADNrIuo67tRhtrB5EEksNRoErWM4v4qpJOwdtRAtmf18//ttrn+L72ZmWgd+VRCEX7/Ov0jT9IuCIFwHflEQhJ8BjoA/BJCm6V1BEH4RuAdEwJ/77ezkA6xYGbRyntANaPd6LKcK00adbBoxGPcwjVXuvvEqG5cvUaytkPvq10iDmMnBhMOqxaDXooBE/iM/iDKesn/vBuJoQa5Rx/ATOp7L6Pwm2tRBT1LuT0KWN5eJgpD0+tu4vTbC+Us0XIGubjA/dZ7y62+S1EosSIhjH1pdkDSy1RUWW0sYb/sUbZ+O41AnoTr2EOKUmQKTM6t4gYuciAy8GXogY+kq0/kIV5fQijnSRYipeKiygmhoxIGP/uDxuyUZYo84a7LwIfUDIlVjPptQVyx6vR7LVg5VUZmJAbYUckbOcdXX6KhlHuXBiSWakz6zR7vIgsxbgoCjx9z+6nX8nTMkmWsogYOsCZw1De7iMBDBETL4xQKLfpcdNaCUinQCmUN/SoIIZhbTsxFUmLUmLLkpq+fyHDoz/OGMU5bFJE0IHnTRlwNWlAzJ3T0+6eXJYdBOEwZKitQ84LS6TDqzOajkWU4jprMZWd3ED1OOnSnjhceaCqobYzbqjP7inyb/3/1d7OMDVsOEOJOjU85zV0pRT21xsLPGKJqzOkiIjpv0YpeTDz3N6ue/TlGRcKXk3YTJfoScSoiySKJZ3BQTsnd3KXVckrVN5OOj78J1fu/xn9VWsd58gN/vsPKoRe/lx3TPLmH9D3+BYK2EnY7ICRofzG5xf9TmdHGLTwYWLTGm69icrtXpOg7jmsztbZOZHzF2x/iLhNyVBqIpsogjvHlI+KU94ihCPrOF0NNYvjfAT8BOQ1TdIEkyVGQVQ0yYLZvUPIXCJGCeJjzUAprGIX/tWy9/v032b/E7FtM0TfeAq79J+xD42L+jz18F/urvdEytkCHNmwRHLc5PY2aRxzNKjoPf/1FuTvqs3Xibar5Ms1Fkb3uF92+uk+vNoGCgqBLrfgpJwuLOHXKldTZFg3xeJR25bNXW2M3FJL0RsSzirVicHveZ9jSCVgdJlxEXLs2TYxqlKulSg3j/AfOCRCSm5N0IVxIQJIkzSp7pzfscvv4G2WcuUA9lgv0OrmwgqRpOOuPOtEt8+ixWICH5KkIaE4kaiaViSuAIEcryCu7BIVlBYBHGROkcXVGJf/BZCq7P6Be/yESVGTkLCu0B66sraCvrPFyuEcohiThG7LlkNJkzdkAUJ3yzWELQdEJHI3UWDLozsqKOpGt8ffqQcOzSSATG6buzYTEQ8SKflcIy5fkxr1h5hvXTrMQJcyPPt0c91h0fVZSQlBixXEa/cBb38ZuMRyk7Wh5rucpjNeT87SNuFBIkP6RRW+XZjTLDB/d5NZdwRc1zoEX4eoC5ADHUycUyppMwEmIWmSzdcR9FTEg0CaFo4Vg6lUlIGMToQcCsWqNbyeFf3ERbq9O6d5Pxj3yCabnA8WuvIW6tYxQzrNo+pdd30c6fIjr7UdZmc8zgS6iGjiFJiE6IlyZksllcKcWv1hCODpDTBNvIMrfnaKXC7/Rn/HuOP1deIo0iut0Oq3MHXZVJ5wsybx1y78//TU7/F3+E3rUR229N2fAzXFPrSPMQJ5rTWRMJRJPPlScc5IqMShkKZ5dx9pqEn3nIrYdPePrJBSxVwRyGLC9E9ESioRWIJi5ZWeKGWmO9oDDJBLitCWEUoRTypIaENI3oz+YUXZlYCymcWeWv/MsvfL9N9pvynoqAstQ8YaiwZBQYhWM25QLWSp3uUpaVq9vMdo8wv/U2YuDircEXL+3wg60BchiS+BOEJKEy9cjMPAreE4pqhmxtmemoTTtN0HyRYzMhyBmUSkV40ibBplIosHBsMpUlpAsX2Y1sqqUSmckSi04PUoeFYCBmcgT9AYRDMpKI6sak1x/RDkNEx6EveXSmI+RgQeQvsNwYRbGYFVW8xCEed1kv55g7AvEiRA5CMDO02ycoi4R4YbNQRCiH1DsulTjF7/TZPrvNM7HJ65dOkWRyfOTEY1x6N+uRUDBQFI0kk7JApKSmSErCQpE4VkQqcUg1CCnV1qCxRvvoMe00oqkkvNN/iKlY1BSZZjlLNFYphhFh54gLU4/N+Yj7p9eZ9Ab0Ug8tSWlv1jibpvSiCkvDfearOfpGQDBoUlItTjdbVJUMEzOmX6tTKOVRzZi36lV+8skCAp93oj5bgzWUTI7Pzm5iBAKKrCIKCfNylpiUxFTIKRbqFRF9f0BO2GT4wtNkPvVlhhcucHPYpKyfp7i3j6SeonbtCotOn2znCPGgwyKOMX7webhxG+Wf/SKF+QJbFohKGcpSgizKCKUSSTFHUqlgugGLbpdeGpFB5R9/5rPfb3f4nvDfrmwz8n18GaQ0RRQl5DglTRLcxCdz+5D7//SzNC5dYfXtPq14Rms8xs3rKFbEXWVKXLMYVhQYRdQHYOtDMrUKlR9/P2uJQvXpi7hlGe/RnOiBw34RPj2bYaYO8/Yxh2HE1WyGi2mWhhHRDB1cQyGREzb0HIQCD+0hN04mfP327e+3yf6dvKfEtFTKMreHSMU8wZUdHg57TIpZVDVH69vXoWDRW62xkahkZlOOSjlOli6y8cotzsYa7tEBFxqbrIcKeVWlG7s43SGuPePB02c4sUesiTJOKhPsHxE5E7brK/D0eYzLl4g/96/oqhJufYloMiXxQgob2/hJjOO5KIRYioC/CBBVk0yhQCwIBKMhURoTxinD4YjtbAU/idDnDlNLxrCnFL2ASFdx9wcsxgvW9AxTbQ+zUGdDKOKM56TOI7KRyOrbDkEqMCrUsDIaJ17AdTWm6c0oxTGzRATJYirqCEUVWTUpVjYQ791hJqakyw12tlaxd++h+D72ZE7UO+E4q4OhYuo54mDKZHUJ56TP3JcJrj3NxU7Ac1ONX5UGHFzdpqCsk3+8x8wycEQZuVRHalR5bTphZ7PBWlFneNKiOxhQDCROOjZlU6cgSAwGQ07iGd2Lq1hegicmvGM3Scc+OUPm87kW4rbJ1umnEL/2OhNngauKiJKIU9NQxjMCT2F0e0Ju7HH44WfpTMdMz28z1QywB7xNwtOjCcnhMenKCldfus0sr+HPJ7y6Wmf1wS7Zz3+D5bmLkyRIYYrcn2NLMqIAx9MR5VqFcq3GQJNxdnepODbl7a3vtyt8T/iztRWmoQ+yjBBHBLLEKPbxkohAU4iShHwikPvmfd7IGVQ/eYbqF4/41Pg2E9vjXGODckFDHguU2zOahx1OxmO6RsJUiBB1CV2TkG7fQNVkYtsjms2J7BQxo6IV8lhTjw92J7i9iLsCvFQoIW8sY8siWUFgtyiyyJlkjg74+ui3tV/9u857SkxPyjpOP8DNmGRLDZTegPZhh8hxqJ4+h5LLEbRfYjdvcG3m0+73eRDFiFvLNFaWOP0PmoiKSDG/Cj7cH9wF1+FhLUPWdVFTiVuzCavLy8QP95BLVZpnLiLNA4S37jC0PYQLKxh6QONzr9B1Fkj1EtJsSnF1h+DogEQ20KUYttZJ5kPmRydoqUAspIhpwqvNB8zLm2wbZfaIkfszGtkCWa1AJ6tjKzNENYuUyxNXsug7Z1jsNvFHA7xajZ4759CdkFEVRElk6oWUJwFLGYulrkMszIiWztDqD5EHIxBLiJaFc/ce0XgMmoA17dG1MhiejTDuoGgGU3eKMOsySwOajSIvOiJYc06unSc3dYhfeY03LI0tx+Ns2yN29jisZxDsmB1NI/qB9zFv9wj3jmlrAsXUxL/1gKqb8lON05RKVd7svkV7PufxbMg5q8BCKdLNrZM/vY349V+jJAgUSir+2ibCx1+gtVKglXqsVnIU37hOrIvIrk1pAXlHxJ30CYIFe0mCf+s2jyKfmusQSxKl8YyosU504RrlX/gMF68/4LEQkXVDun/wRTbslJIgUD/uUpIURE1nGPmISYJFgirJCIMRQviQsJAn1lTylokSxjT3fpfSEP1vyP/jylP0ZlNmzoKSoOJqMqqi4AcRSiKhuhGhkDJRwQxT0q/e4sZ/ssKLqzo/Gp+labd5uf2YqlcgYxoMFwuyi5DpsMvVXIUnnsvjyGaiC8S7CVGQkCtbpF6IiMDKU2fYLK5SfPs+MhoTUtwkITca84oYEK6t8NbBEDGJkdKUP1QoQev4+222fy/vKTG1+g56qmMWllh+4xaGHfHLz6wjLFy0cytEhyekhQL2wuGtcp7TC5m9i5e550TU37oNgsiTYZeZCEEs82YwRCtnOTREPigk2H7IQs8ysPJsnbuM5E+Y3X6VxiLFS2LEaZ9srBIf7+KLErnTpzAkg3HnBHfSfbfY18ynWskhugv8pRWWhy7leoEHew9wPBc9imkNm1ytbOHff4S2usxg0Odt5wnEUCtUKYsirWqJRbONFyzg1XeoCzLni3k8VcCrrjKyR1CpUW3kGAz7DAQBQy1iTiaEhkjdjolKZXKKijMaEnf6hHLMIoD2yQmt4zY7lkW0ssbxxfMUrr+Gue+xrGSJAwF7tcAPaCVeq1n0czIrbTAjn3Ali+yq2IUcEykla2h04gDp9Rt460vkV9bZarZYeA47+VXMTMRbozbhpIUc2DiuTSiJPDQ9IjFlaXfEkrWJ4aWoacT+Uo3phU1UUUYbzRDqJt0ffZH+W29SLpTphwn+4RGFU0VCQ0LvikhexPz4kK2DPUadK2SuXeHItUlzS5yKZMxU5JEpk+uPeHKqgecseOoHfxjtr/w9BEFkELm4cYglyAgSBIIAukaaSIj9IUKzDRsNpGevUv3aO1h25/vtCt8Vf/3v/yX0u33UR4eYM5/BsIfuLfC8APE7kXm6IKFHCWIcIwsC+lzg7i99Df+nXuTH+goXhW0yksoeE9QzKyj3jnAcn4KksDsb0MgUySsqJDFiCqQhw0FCTTbRVIPC4xCxdUJGUhGVlI4fkUoSpQTeN1zwtcED5lKOJBEQ4oi/d/T9fezpt8J7SkzHP/QctVceMzs+gKU8P9hVOHu/yclxG+udd/A/+oM8EUKiUg5vNMZe22Td9WnlTb5WNah/4ALPHbYYBC6NXImrep5bikCYz/Iok0WsVEg7J5SXckyVLKNXj1nNqkykgHOHU2zLwm8fs7CKeM9sQsPi3Gf2MF2d+xObVBGxVAE7WLDsxQxdm3hnjVfXTArjYzItj4QULw7Il3KcnxrEko4XOKw5Ma4kEeKT2lDcPaYqBTjXTqG9+AHMUom9vdsQG4iVbZjo+LKCG7mYG1W6xxOERgldVXEVCatRR53ZjA72maYhhbLBeqGAujek9WRA0arRdyfEjRpmWcC5VMY4HGEnIYao8uikS2Gpyg88bPJFw2O0U+eULdBZrZNKKoWVNZaXlxh/9Ussb11m8egh/mCIbpik586TPzrhlj1lKZQRM2WStVXiThft4IiirBKpEooTEOoee/M+43oB1x3h7D1isdWg/PoJkr1gaMnItRqbwwBTcnD6U84IJrOui+N5uIsFoqzh6gKCHbF81EFZ36C73qDy+g2MRKcZeby/5zB45ipHL5znZL9D8tlv8NPKEl/JTjlYOOhBgh8E1HQDRTPp7qwhKBLabgvPNFAkGBZM9i+f4sXr8++3K/yO+duf/zvIc4nMlVXEfA0r8Jl/+ktESYqcgiqrCEnCQhNhHiFEIRlBRhBCap05w7sHLHbOcZRLiZIs+rOrdDey1F96ROaXX2VNKRAjUC5VsSSNXzt4Bz8MccWEVUVjEkXkUYntBZ7vI586TXqwD46AKSu4cUQuTflR3eJfSAoDJySZ7X2/zfZb4j0lpoGo083qxEnIyvYaLbtDo7hB3pDxY5e7sxE5S6MUxWiNGt1hl+zDXSaDHvNyga3f/xNMnADp7/wDlEKNwsY6q4spCy8isAfQHVIbdcnmsuxGPkkUYN3dJagX2L1QQV2ELGYe6ZkzOPV1or2HyMmcRq2INGiR5jIEK0v4OYu95XUq128yfbCH8HoPyU/ISgphFJBVTVqpi1fOcTgf4ocRVVWlYEhMDZF2o4IynZJXLILpnMOCwMbRfYLuDKWQQVMPsYs5MqMQabYg0bJUtQzCqIMytxmrKQkKBUViqokgygQZjb2TPubSMlJG5oml4t7vsBQ6JCe3sQ4ispZEpFeYqxIfbI/ZnbfYFlf4s9ISn10ymJpz8k+OyF+8hLW6hPDaW6gPd3lZDjHGfXL5HMp0RqE1oj6ckiuvIgkCcSnPvqEiGzo2MsnN25xDZpEEpJLC/tEe79Tz1IIyq56LNHewJBX39m0ubtRZfOyjFA4G2If7SL0eB7UKhWKNgutgpDajmc0CUIsl4j//5+nMBuyEAnUzy6PIZlvXcE+X6T98SL51yF/QS2QFnZyfJyvKJFFEKsvoSAySmFoui9GokPba2BmZKAqRBjOy1QKqOyFbyPK3P/ljPM5b/E+/+Avfb7f4LfP3/8v/luDJnCBvMnv9bZaWG6T+AgmQRJEgjnDSCCmKCaKUSBRIgVHkkZF1pCRGvNfk1p98BvGPfYCDb9+gcGkdRUz5xs3bLBclfvrMeU73VLw4wa3o/OHaD/HFo1s87DXZ3Nhg00noj/rYSYgoSLhHhyzShEiRcUUQZYXAdfHjgDVJoj95/P0222+Z95SYHr/0FvnOiDSGUbNNenLMSWThK2DLGnJvgtjvslQrYU5Csvcfc7ukcba8xMPmLv033yD94EdoPP9+km4ft5HFECyubq4S/08/T000GcUG81dusrhwGqG8xKkVEXs+5XgWMe0OUYp53M4uG1mV2fIGL0UxWcXgfXFEZzQiqS/TVAWUMGGRtQhPjjgtqwiJQClXZl40ac9tHj++yxW1QHapTL5hQhQRiCmEIaKq4IsJM1VCEFVWdYFxe0QaBpBq2I6BLyaESUCaBqjHA4KMTCZTZDZwWApUhGLCdDDEbw/IZ/PI3QFTe86i3WWQUZAti20lQ+wmjB65GKFAQTdxi1lMQ2VjqvDjwnmehCm/MNpjfjTlsg9qECEsraN95teYPHzAwRkLa9ZGVkwMNAqOz1bPgZU6d/+vf4q1r96gdOMupdU6zs0HpL0Ry0qGfXfIkqIzDGYUBzGf6A95RfLYe/oCp1td8oFEpVjlcZiQP+iQBnPkxYLzgowzszkkJiyX0MoioqmyPLfxlpYYJQ4bD48QfZupCIvNCg9//OPETw7Z/OV9rtXWOFdYwT9s0zITSkoR1W3hJz5JFLOxvoX3H/1hJp0uZx8f0qpXKVdKSHOf6Rv3aewfMc/lGfYcQkXk//kPfw7FmdD/6mcBleXNU/yFv/fXv9+u8m/xd7/5T/C/8ghlX0Y7uctSTqErT4n8KRlRR1VcIhKIYlIxpZCKLEKfVBBQFRVJEJBFCWVqc++1N7j2ycus3jrm4EvXWf7xD2K+3WQcx/zPOYM/Wz+PNvTQFgvykUStWGU/XvDNfosPmVVe2Nxm0p/wSAyYxT5xEhKlMZKs4ssiBBKCAGd1hd+91M7fPe8ZMf0ff+KPcqPdZftkjiqEMDsmyRiIc49ZRkTrDVnzQlRVQP7QC6jFMjtmCW3vIfOPvp8XHi3zWIlJZAn14lV2l/awBj2Wvnmfl7/wdc75cGw4dLMSTqlCmFGolkoclissbt4kdhaUq2VGpoSTMRhHNp2VM5zce8jGM5cZrZ9i9Z/8HK29E5T3XUHvL8gcdFha3iT/U58g+fY7jE5v4gc22te/TRL4iEaKXDTwMxbWcMLIc6ksFRAjAUc0kKvLxILKEAm1kkdaeMh2RGKJuNEMMVZQ9CxaGJBoGk53hBAFhH5I8Y1jonYbMQ1J3Yi556EQkaYpZc8nmHsMKxVWFImPniyYayKylbLnOZTaI8SwxmE15WjZ5KK0Qfj6t3iSgKFnWH71NU4MmYONPPonG2y9OufAkSh3x2zNA6KZx1BM6fzir9Lt5kknU7J3blPr7iOMZ4xSCSmXpf/0JaLeCfv2mJ1zl/lAs8nxfhN5Y53h3jGjWY/AkVj5la8ipXOSNKJf1BiFPpkkpDUakJTLzOYTDCtPaTDh4ldeYVDMkjvpMV2qYC8vkQkWrPQnnFtaZ/y+y7SEHL49JOsFvDk+QYpTNFmnvLGE/ewlAimhIKsMz14gxUU4ewb7c19hXsyRFcCezzggpKpvMB80yRXKqFaF9P49+rrBX/rEj6E4DkkasDlx+FP3b35ffecvf/7vkO4sE6kKfP4uhlpgPOswO1xgvdNk28hTDGPeiLoEkogiiXiOiyaKWKrOLAgQEHCFGAER+a0ndP7lt0hrFh84+36cVGFYrdA/OGL4xkP+0fmIP5ndJk1iqqGAt1Jk6hxx8uCYT2d77F3YwqjLnM6vsblIef3BO9j+ApKAgmqgGTpSCj/35O731W6/Xd4zYvpjyjbGcIpvSqimxmjuYGZVTtsRRqmBs7TK3HfJX7tK/Gsvoekqi+UttvINdg+OcGSZZzAZ/fNfZtobUvh9P0Lr5n12JIPn0izzosjYEpisrdDxXNTJmMQPqVw6S37mMJ1MGGd0EktHI0YKIffBLM//8T/GxpmznPzcLzCbD1mOQi7MImpRilbdZHY5z53pmEk4hzdexZzaqEGAk0T0/DnZ/oBAkRmvW+gtn1ZrhKHq6JKErCkkGROpUkKOHuD5IfrqEtJgjGTbmPU6cejjzB00QSOPijaeQD6hEAsoisFBECJ4MZVEJNEM5r7DPPRJAxEl7ZOpVDhc0rFXayT9JlqccFpRWBRlEs3mlfddZKqmXKrkSfYPKL16ncPNNZKtdbIXl/D2DnC7IUmyIA08rg5SVLPI65d3IE5o33yd9f1H+JYMlkWj3qA3GbM4s4WVxMSrW4gvvczJ8QnJ1hLrfsJ0qUF1PGP26CFiHLORVQjSmHleRZVlypFIUxZIhiNCTSNz5gyq6+KVG7QEhc3jPpGV5+5qneWlBo32lL1cnscbCXqjhPDmIRsLif1pFy2GemkJIZfB/ujHkTaWCL/ydYLZjFiXGS3mxK+9yVJlhYwucrhUo1KosJImRNkCqibjPnlAxjKxn34av9siihw0RaCQGPT1lJ+5epVyrYKjisTlHP/gn/3uxfR/4cU/waNjG67GaGdXSPMmzi9fRz5WCV76Fg/6HVqCxgvFJYqGRWpIeMMxAimhJEEQIEYRcZoixdK7VWgVheHX32KzXufwjy+hZ00mnk0ukyEngHk4pH76Mrupy4PJCbueh7m6wo+d2Dh5gYyic8cK+frggHPFPFcub6KNpyiKDH5CrzvkbzQPf9ds9L3iPSOmDz62Qfqzb6OgkjFMhrrCoxjONSqEBBTqy3Tefp3Hby24apaYeQGj8ZBcs82lcYFfWsmg1tbYevAI0fHwPv0Vrh21mBUqlI0cnWQMToLR6VDfXEa4u0eY9Xljb59nooSrnsQtLUXvz1gXswztY9S79/E/8hHu/uw/Y/2XPkUhETFyRWZhTBRJdEo5OvceYOzvU/QXWIiQJoSSzNXCEsfuBCNMKXT6JCMVWZFQ9Qy5TA6lWGBysk+QeExnY4zejLzrMT64TljJE/keVpSyEknsVfM0RQHN1NjoiBhhytGpCiNPh7eniIFLO3IJIgHVNJBlDSFKMat1HqgRgiUiN59gmjKeLPH22TXWIp3BC1fZK2r4C5fwx38YudtiOxFQJxO84YCl2zLHzz9Nut7hE3dPCA+OidQafsNiutbg/LfusdU/IXfpEo+3G/RcBytjYN+7y2y1jpmtkt67y9nKMtHyMkfOnNTIkE8kIk0nEgVKiUY7XGDqFtuBxKCssxs55IQMy5JBGMA8W2JQgfS4w3qhTgwEtTJ2RiUe2hT9GHdri1Eg8sKbRzz7xCMbZLF9iZsFi5N8Hj1bIDo6xBQjzLmNFKfIgwmmqNMNHSYrJRJDRR/KTLwF+QuXQICHR7sUpmNKrR7+xlnkFz/E4s4tKBRpDwbkBIU1BOJKkeHRLfTdff6rD30A90MfQlqtMnvS4//9t/7H77m//Der54jiAFcOMDIGx6+9g1YpoxULhM8sEUXHiCurrM8X9DyfX5o10TSZii2DopFKCkmcoCYJP5Jb53PzA5w0Rk4lUlL8wzaHF5YpdfrErkfJDXCCCESBgmoQjV3WN2osOidc7jpkApulrQt8ihPGskhn7LI/tTiYuXxTTXn/M1VEQUBNE37xn7yXFvf/f94zYnrrM1/Ee+YiZ799nRv7+yycOUYq8e16nrphgiZjmRLreg78BFW3KAQR0vmz7H/mizwzblAo2DQvniNaOFCt45SL9JwxlmCTCbPIEiyFEN9rIbkCCymhfu+ERqgxMBJM1yOxskS5Imf1ItPDEf3rN9i8d4xWWiWtSixWVhgtprQVieprt9mezpGTBFuUiYBpGqIh8uPyOt8wFVqyQJzPwXhMFEqsZ6ssogArSnEknWxrTEOfkY0S+s6csmmiTGMOxjN6QZfN/DLZjIErCGRnY7T1TeTWCU/GHQbTMduJSD+YYxVLZItFlPmC4XxKUVIIn1FR6hbRyz0sVUXVFWr5PNnOnNvClCdpRDi0KV88i6mrTG/f4W7zgA9GCrLv8fmDPS46Lpf1AkNcZEmlowukmxXOvrHLm08eo189z74hkdy8QbhU47o9IDccIjY1orJIOh6yuHAWSZfZzDU4vPUmtjNnVRKp1eqcdQXSMGThxjyJXAqewIulNXoLB72qE5w5Rz9rUZpN2RQzOP0BqWaihTFBpUS6vsZBq8Pl8+cpjyYM37mDIxYomhYzxcIajhDCgCRJEKp54vkEI0qRooAklShns9TlLN3RkFgQiY9a5HUV4cw2040lSv2UxE+J1yxWclkGkzG6LKIGLqyvcvlxn4dlHbNQZ/ukRubyM8znE3wtw8iDxic/zv99pUrzU7+KoCmM8lk+9S8/9135yv95ZZtB4BB4Ds54jCHqLD1osvdrX2S6UUJerrK6voY/7yOEAZIisizIzD0PLw7QCnmiMCCWY4xUIvADQECRFGJAFkGOIfryLZ50xpR/8nn0j15j8ivfwI0ibMHmunbEWfEM8VaVo1sT3H6bU8AHsw1utwf0PZ9USlCvrtCbpNh2wqI34LWvf39viXw3vGfENFQF5lLMbk7l1F5InC8zKWTIOg5JrohfKCL5EemlS+i1VbSjPcaPnqDst1AMjfu6Tqop5GYzhFqVyjsPuCjWackx/TRlyY+522+ybpZ5af001pU69eYxvXtvcZQkJIlIWisiL5dpHu+xv9RADh16v/pp9oUEOYqo7+zwI/kcnxyF3JBj3MjDSX0sSUVPFRxdoaHkEGSZo2urhM5ZKpMDhsMOuqRSVvOM4gAtiEmYYNk2ahgQ5nN4V3Zwcyvw3MdRf/VrFA+OEC2FMLb4KSdPNA/5lnvMdLmBVdGRj+asZrPYoY+Zq7GoVuhZKqtXLlHoDxB8l9IsR+DFTJUM826XlcOYID/nfk7nURJSdF20p67wzqc/x8ZGndVJn0v5EvHERjczvG8Wcv/4MUl/xplsha3SKQ5qGkflDLM33sKb9FAaz5CPFkxHE5S1Nez+mE7WpJZK6J0Wh2lExZ6gbT1FkrrE1Tpr9RLqUYvG3KUpalQEcJM59foa2coyg5MmGVXDeeoqN+ZDzFffIQ1CbpcLbEkWM9cGa4VLocrR3jELTcEeDpHaTVbu7fHZgsWHqVOrlTj2x2wUFBJBYTKeUxRV/FEP7+I5CrFAc+GiVnOUCnn6eQtz2EN55hLt5SJJvUKxP8Gwp3hJypPQQ0QE9d0oq/mwj+v6ZLoCzu4jZoYGr+xC0UJqWNSjmPnLr8D9O5yORTqJjCfo/NR/+RcRbtxheb7A3ajzv/zCp/7XHeQ7/F/WdnB8n0hIyagZ9mctyrMx1mqDq7ZEdG/MYHfK+EqAO5zhhj6ilSF/7grqdEDqRTTWNtETm0e7j7DnEx7JEiEpfhwRC2CEAlGaYIgCO6HMqOmgmVlq5TK9bocgDvh6/wHH96ZEJZ2eM4M45B3fBtFgGC7IEPNhVeXo194he7bIucsXKNv5fy17/HuN94yYvkOE9uZ16hOHyUaVbhIiuTNQZdxeG3W1Su5DP8Bh6GHu3SXz6mskQxupWMU7fYZK4FDv9Ynnc9rVImY2SzRwyWQK9IUFsqGwXmxwdzFk1rtPPN9j0ShjbWxQXq5wsrdH9mMf4ajdInz2Guf7Nlk3JA4itIWNGoQUhEOOnIfMIgkUkfzqBuHhIf3EAxHkRonS9hZhu8Xsv/uL7P2tLzA9uctHzByumBCpMbLnk1VVOh94msXdR2jHTaRTq6Qffj/m6++wOJkyLVj425ukmsBrisrFYRX57gO0Z66i93pIOzsUooiDYRdJL1KYBUgZjTVJYXT+KsMfqdF/6SWSu02WpApXaiabkUH3yX3mkymyJXENg95LX+fgzttYZo7Sq4e4igGyQiQKRKJExcrhSQtKkkIxU0Ut1DkXJdz56uvsHT0maxqEt28jn91ELuZJDnZpbJziSa9JqOvYikq5XsUqVTmMbJT793h+bZtwMCDtziBnseKneAuXeGsFQTBwuj3SSo39568wfnifytERQhyykCE9bHLHMrlc32Y46CKf2+HDrRk311LU5j5XxQxuqtA7OMIvpaR2zPlKgXvb6+wW8uhBTO/Xvki03EC0HTpSgvr4AcVDnczKNoG/oJSxuN3qIn/4A6hRTOIsIE2QkNAXC7TVTZx+m+TSZaphQvC5L+C5HmRUTDEhryr4kkDu3iPsjS20Sp7ZeEC/mMdUTeqigodErljF9TqEpsGf+thHuLw74MmVLSoJ/OXPfeY39ZG/tLSDE4aYokiYpvhCzDgJ6f4vn2Hn4jlKWR2PgKqs0b+xizC18YA09DGiADlXwNisMQscvO0qW7UCzldfphNFoMpoifTuvVPfJ0FAyOcYXFlHe3TExJ6w2DK4WDlFZujR0DJEpxrMDlpEispCEHHiECFxyJOQE0Qc3yMXpRi3+8wnt/nb9w9+VzXle817RkxPPT6koahEdYswipDtCE0SsGSJqeOTtroElySMb7yGeecRy4UKrUqDaGeHR3WLaSnHRM2y2DtgslLGs11Su0d2MCEr+Yi1Ovl8gXSakskrRJksDU0me+YppskCd9xlnoQIkoI/6XOQt2jsPmJn5qKfO4/Q6ZN2exiCxlE4RVQk/PM70G4hiyn2bE5uNON4MyU/WdD/xssEB9+idLzHYHUVXVFJU5WC7yOd3sR5vEe4u8+4UUEdz1jxAmaVCtr9J2QaVRLRRhw06VYM7uZmpJk53fJpok+8wO69u+jZDJW5iR5HKEGAdtSnv1yGb34F7Kd4/3RBOhvgRkMGxRUsLcJsFMkoKg+qGWK5wEJM2FwEaJMWYbZAyffpLZcojwaogkRWz7LihWj5IuX1M+iBgphEyIMhxVMbzPsDio+eIJ05R1TMY81t/FyR9Timvb6Em0b4d+6y6jlYoxFZ18F5dMyTy+useSG5VCfQY5YadbqTPg4e6bWr9DdXYdBnuL/L43KOC7k1ZtUi6dEx59GIKkvozoxgb5+ZolFJi2Q/+hHuPN3FfOk1GkKJg3M7dD+4Q+ImnH77EXMty/jlV8jOHbj3kImmYV26CKqJ67to+49RFYFhtUz2fc+S7J2w/cqbKPM5EzODNhoSVOo4EmiaTvHWI572VR7bMceWgl8u4U8nVBSJVEjwoghl75Dhh34f5aM9xkcdnKKJ2VimWGkQ7pzF/8KXmR6fsDJ0OCzrWKUCSRzzr67+EBN3xGm5RGF5h+uTPZ5TSnyzt8cTp0MqiihCiqyoJHHM2igit9/DTkPirTzdBx1Gjw6IwhhJlpDChPDJQ1haYXjwhMhx0P0twqd2iOMQKfApSzK+LrNwFsiCCAjIYQydMbo954kwZexNublYcG5jiSuuTPvWPcoeTJOEjKKzKUrsRu8GrvhJjCRISDIYmsHffY8LKbyHxFRKU1rulGhhUE9UauUsaSRgbZ9G7U1RW0fEb99EThQm1RpvTcbUBj2U06fIfPKHkb/6VbqbRdr+lIpWw/mxj9D+hc+gDQ+oZ5d5Y9GirmeZFzLEJQuhM8HwPO5NXGaKgpgqFPY7mPceMSckDUJcI4O4uU34wnPkBkOCe08I+z30kznt+RD30QNO5Uu40QjPhjRJWH/f+1h9/4t8szPH+vhPsLTawPvaW0RZE10VEFdXmCZQPmgi7awzms5Zi1KsVOe+KpM1LabZEsQCynHAtN0FP8ukUmA47BJ8q40+nbC0skw4nOD5DkElgynoFNfXqScJ3jt3mOsyiSWiF4qYaYj+B36S5i//K7zUw5EzBCsN6vcfY4ceuUqDmZlBcw2UMCazuYXeGhBIIqu+zhPF4+xkjKTnuTk/YWiIeFdOE74TMNk7YvPhPRbFEoNyjmzRxJnEKHcfEn7gGubZMySdAVUlA3qKXVAoJLBsJwiSxCib5VVhwVrB4skL72e2vULH9fANmSS8hCRIqKvnqR/usr+1ztfbLeqHD6lFInoSoxeq6OsvMD69hfePv8ElN+FlNSAtGUi5KrIV062dIH7zaxwvEs6uX0TpN3nQsDiT0zEKBVRbY24YeP0WYjmHqkmsfuNtnPGMoSZQWK0hPHiMmbE4fvnbnNML/JHSNUbDDk5pmfxagUflAiVJIHn4GDcOyUgCxmjK8MEBg7MXCN66QxoLCNUayvWbjBwba2Fzqj/ARWJ+/gyuY5PTTF6tCPzkok4xzDA1RLYdi7emLWaqiG8nSJrK3PcQXR8JiYm4YCWGQbeLdaVKokvvOr4iEwgpaQqy47DY28UWE4QUxL02yvltwrU1hgd7xJ5LJtFISOgnEVndxAl8GoHP8GSAL8+YTadkyzmS7TJxX8Y8EOilIYGScmwPWJJ1QiHFi3wERUeTVdQ05u/23vu5DuA9JKaL0MWfT6mmApmcSTKWSFWZyaMTtCRhJOoMR33M/SZlw8TYXGc+G3L6jbdJbt5iRML8j/1BVKtA7199FndjE2Uy5FCDaphyIVJ4OG6iKbAIAzKCQs80ScOQqFxFrdWYCzFeI0vleEDdLON4c/aDKdXdx2hlk0VN49SZD9Idtym8cYNyb8wiL9Dud5AS8GWPW9MBi2+8gZkK+JdPs397l3Mx5BMFcecM0wSmt95GFWXahAjRgsrjHuGDR6w8c5Z31pZZb7YoeRF9WSEjKfTlELm2zGbziCf9JmatjLuiEhkamghjP8RVRAa1IqGlsRWsIE/6SP0us26HTKlIe+IiVpfg5IDi3KVzeIQnK7wvk+eB69HOaUgVi+defkCgZCgZZfKCwqGS8CSNaQ6PyGRMrp/cwzu1zHgyQV6pw3TO267NpiSQP/0MfkYiv76KNhqTf3DAvN0iffophrKGMjlkbncxuz6motEatWiHKv6LH+cGInbrCFf0iAdzMq7DaG0FZeFyMOuyKUsYmoLdqGCYFo0Tm77jMC6VKX31yzTfeo3qv/gUzUIJ5+IZ1Jtv4c/HVH7/TzE+fwrjK19GjlxOVrYxejGnRnPCxQHzhYe8tkxZNqnGEf7ly/T2W5RKdZTDJrYvsJh0sXyP+cEBS5UKo/e9wNtzlUVN4sTPUv3RT/L8xgaSJvPoZ3+W3NtvEqoZ8mrA5KjJ3XqeerXAqHPIwh1TqxZ5obPg6Gd+H96vfoWcZtAjYX7rHpVsBU1R6GTriEIZJZunMltwz3mE784Rw5CJECMCeVEm0BTmoYMdhSQBqG5E4XQV+7DN3PUQBAEhShnGMUIYEQoJsqwQRzFewcTYqGK0TnCTlFkYkBFELFHGCCOIRSY39ih4IYYeYCkqcigw6TsMcnm2axV6iwWmaWCnMSQJgu1QdQP8MGKexgjyb1Ya7r3Je0ZMz8lZxtsr9DMKrWaLnDNgslEnG6ZookBOk9hZWSFjpwznQ+buFL+QoSlOWD5s43sOyl/766yJMs8jc3T7CUumyWGw4OWqRM0JKFk6O5rG18OEo/USlZ0zWK+8TX/YpbO5ToMctVBESyE8dxpzPGFzOKBTd9AfPkHK5uimfbz1ZbxTOxQ/9xXi0Ygto4Btz4gWHsY/+VmiKCGnmiiOw9XVHewrVTrDHr2VKua3X0Ub2nSWM8SmwLqyRC2XMHnzDbh4lnnq4ns+kSpjLjf4+P0+zdYx4Uc2MIYzlvUcw3KF8UkbOaORV1Wskor7cJetb77B3J6y+OFPoKkamipTMw1Sq4jqzlCee5bQVBl2W4wsk3xjib6UQ9UFGnFAFEXcWitwarfJG83HTNMYRdOwG3mcyOEkcVlbWmfvwibReIgkywjXTrPuhGRzRaZvvIF86TKFdo+c5/BOKYt09RKN/pSZPWbm2VTFDKecgDCjoFQ30M6fZbfVY/PRQ+ob69yTUqxwwU8OfD53rUJ27w5Po9J+cItH9RzS3KGxSLi/tYSVyREBhYM2yq98mrJk0Xz+HE63QzafYTwdEraPGbdbZM6d4v0Th/1Xb2ITMdGynA0h7PYZ9wZMTRPv1Bb9BDbaQ/x8hUlGZ3s2py9pKMtVzrXmTOUyX7t9gujNyEZjSleeJWw1Of7q5zA1Ax8ZsVJFCB1CSWQ5k+MVSeBcNk8ln8coLjFtHuD7M0b/8Bd5O69jLRZYsUm20cBHwt/d50nWo76RR1AlRCSqis7ufACqguF7+GnKXJFJSZEFEX++oJ8soKYgCQZbH7/G4v4J/WaPaezhyGCFcE6vsB+MSfwY504T49Im2TQkvfOE7GjO1PdIRZEQEUtSWAl0skqWWVbGVnzOluqEBwveycxw6is0vCIjxcBVFsy9gFylTtle0O910GyHv9H+vZ0J6rfDe0ZM+8Us3mhEaSqQE0WuZnK0IpH2xe13KxgufOKVVe4+eUy8cNACidpkxsS2IQ4RJJkL1QqOLJMKAkbbJ8gZVMch4czGypRRfRdPTFnN5VnUl8mJGpaucSKmlD0bVQyZfehpsl/6Ft7110jPnSF/ZosNScN9//sQLl/B3n1CZjLk7OltRhkDr+NgnjlPePc2KgKhFzCNfM4qBsXZgm+eLeN6AatHTdZuP0ZaKhOsLhNpKcWNNUpvPeKdXEKgL4j3b3Fp8yyqbmCLCmbOxNttMzckkqyBLkTISw0U0yA/dvFGMyQ3wfzwiyieT/TkiEy5gfpkD3l9mcz2Fn53jLxznlQXyBzcpTcbM3vhIpVckdKd2ywmR+x2BwymY2pPX0bKyJRKWTKui6HnmD5/BaeS4aEA2dcfIcoC5sxHzOaY9tpEtRpG3cQYT6hJGvP9h2jHQx6XMsTRgvyzT+MqLWw5ojqKOItBZtWiX1Z53U9w37yOaRpIusbRdMDsRKShZsg6Ajtpju7/6T9l9M9/gdXuhKXujEM1prlapVXJYSkaW37Ek40qlckqUabI4OI57NmEVs5ka72B8K1XyJ0+y7CxwjvBPVayBhvtMdO8zJ2CTkFbRckV2RrOSfa6RMWHqL0RR5qKoKu0Ewl17pLZ2iGvR7QvLvH+199Cn8+IoojHyaukB3co2zO4+gztpTztjRzbdkT2uMeikGO5lKcx32Pg9Ij9hIU9JxJF0o1lLMsgP5xgCQLOaomcauIcH+DYUzqGTGne46E0QNJBFARc3yUWBUxBJIwTwshHFxWUxKeiZHCCBeqpGuQM3JzEkZyQ7bjsyCY7gUYWnePxlI1ylcVxn/ipbTJ/5EXSKKZ/+zEEPqko4qQpXuiTkR3sosl1JcGoVDjOWaxuNDjz9Qc8Pt5l8IFnOBiK9PsR7Z6LkIbULZmPWVn+8f7v/UxQvx3eM2Jqbq1SzuXo370LlsntLFi+i/H4PoIgsCpnmH/rawSRS3DtHKccgWR/F3IqSk5HjUXaqkq1nMUbTVmyCripRJQKZLIWiBFCvoJRa3B25nHUbHMyHpM3DNInhyzd30NpLNGWBAozFy8MaBweEgYRSDKLpy/hZfqI90acOxrhPDpmd9bHWK4wFFKypSrCbEbLswlFgZ4i8ChxkD/1ZVYTgaKcY8da5npFgYlP2hsSvn2PhyUPb5qQJBEbSoAhJ0TjFmpzFztSePPCGtEHLpNk8ix2VhnKKYoEZUWhoJVJz1WZjVuEoUtWFclnJMIPaCz6HlFtA/ncM7TtIbW+QydI6H3iA+QuXiD/D/+/cOMB7eGQIhJnRRnzS9exkxChUYNYRJrMOTrY5/j1DrEgUSiWOVzJ47SOsS7vkFldQSnk8Q86HLY6PH36NF3NR/YizEIGsd9F/pVPMbx2DknXOJVqqJk8r9ULUMvz4c9/mwPN4ERX6M5dolyBVNGIg5ivCRk6B2MGX/nvqT8+opfTiHIWd6oGB76NcXzMciyTjqZEP/B+4h/5UcamjFwtITWKJGaG64MBysEupb0HBOe3383f2e1RkxXqlRq6YXKoTojTiE6jQtkLMF+9TugF5I+OEE+fJbHHBG4fN+zySk5iNpmzLYb421UMJUNu7xChIOMEEcp4TFX0qNo+3eaQL5Qtnj/y+BASy6sbPLUv0Nw/YeTOSU+f5+7GMtcWNklNYbZ/SCKJDC4tk1lextIKPNQWrO4dEK2atDtzZklIVlLQVQM/9hGiGF0QiJIIXZJRi3m6qUQigTOeEu+NqIgyj8YDjEvXKJWyqO0hHytd5PZOATlJiWSR/pevs316i3C3xVRzSUkhjBBIOfZtJkHIxMhiqSW+fdMmV4AfOrPJuQfHPNk/pq/u0JyYhIICgsiBm/KP9772/ZaU7znvGTE93HvEkhOiVsuouogL5JOY0MqSLRZp1erMvv0KOT9iXvcYZd99CN/TTFIvYSaGIAnMJw56qoAhsOzGjAQZYTrBy5nsmQX0912AL3+J4it79GsF4j/yk1wdTjD7exzaDttv3CZf1Am3LyDkEwI7JM5YmJKFdBAj7R3xUrFAHE9pNwqcWl1luePgbKxQOBbIiRAEMdHUwcoZFBcJm6aFE8fYgUdBK9JclXl2f0jXyCPZOsVSkeB0iaR1SKxXyWSrhBxzeX2JWdeFByMOr51BeHTIoqhhuCFpvcqiWqIeiTh+Qk4QiOtFVtyUmdOgkAnoaDAdHqFYJnbzkOZT5/AVmcLXXqFy3KMlC6yVKkiSxDyvQ7NPtEjZ9yY0pCxmpUhw0qVeKnCm2mD2vuco3HgV/Yc/wWj3IeW1ZSQRNptjZFNm8urrFIwMrVPbRNUS5ZyGeG+Pxo2HFLIZTs5dpBsHCK0HjOQthJUioSSjnJxgSwLDNERRZMRulw9Vl+lrIXujCZ6UcnutjPHB5wjHE6Q33yTfH5A57jIXUvRGDT9SGBY08qMZq8M5ncGUcDxhR5JwRwOcWw/I18vkigUWsxmd9gnT554iCVSKisnk9CZulJBpH/OxZz/A0f2HHB4eEJbyrHQGLMoFFgWdjWGILEc4uRKqkcH3hniaTEYMWVgTwtEc62DBuJzhg77GJVTGx21u7e8RT6bU4oBiuUHoLmi8cQu5kcd89horV5/h/uEjokKZ3JlLvHzSJJ71+UMbVeb6jJIgEygaHgLTNEBIEgqKhh97hHHKWIioahaCpSLNI4xPPeBRf0RDzXI2VZE6Ix44Q/bOFalKGVbCBKdWoPfKOwSv3eNlTeL5S5eRvYiuN0PWFIQghihhaSFxoLkMOmMCT2C/mfBzA4dnLYWnY5jkQk56MkIUkgoCyZP/MEq+/Jt8N6WezwK/Mf/YNvDfAAXgTwO/Xov1/5am6ee/0+e/Bn4GiIG/mKbpl36r4y1PfepbGxw6M7zekJO8xDANMCpnKdlT9PsPEBQRQ9SIH7ex37+B9ZEXkKYO3XduU8vkGa9pcNBHnadcmLt03RDd0PF1EckLOSdovPP622x05mBkOOMk9H7+szhugJkI7LgCrrsgOVMjGTVJzlwhkFyy7pxo0EMsbZBXdJx6BSNOySQhI0tH/tBp+o8ec/rREzYiE0SZSAt5R/FZtSyCMCaNAzqzExZjjWwUITeKRJaOMPN5fKWCdKuJNBhTy/QoORFDf4F0bonJ49fxj4foq1V8RSVJVbTFjECWkCQVtztAe3iX8UqWU9vP071yilG/jZfJ4J0+RWl3j+JJn+sffxb1UQvz66+wKotMxJhsMU9WzdAPbcJCnqvDOZGWYZ8AS9P5cjBiul5h48d+mGivjXf8hMrc5fFL36Lhp7Q6Q9ZWVnFSj+zDHlcTk7GisOjYdLIVxvkSlWcryEHKiSkiVBSmN5+wVKxiSAaKoqNICumVpxHjKVGrRWN5mWfJsPl2h8uzJvnI4Mt1iWB1len9fdZcnxerq6hul75mEMUxsSIj+DbD6QLBjfBRqTs2S7OAkqLhyga6oNCulIjxEYOI/HSOffcu/vZpfEK6jx+xKqSslGvc3chSfv6PsPXOPRZ379JSBewS5EyDSahSWMxJooBBf07oe0j5DNHqBklrgXIypJ+v8NNejrkOJ06fqNPFTecQzJmOfQahz2KpzHk/Rbp/QlPMojdW2YwEmoddHveaULYo+jGOFjENHKKZzSRN8GUBU9eYj2eMQw9ZgLJqkpEF5oHLwgtREcjGCVYSUxdF8oLOnj1GXtkketQh/uPv52DiMZxMObtTYq27zt3dA+63j9m4uMmH92eEUcSteYecobKcKZN2j2nFTSzB4HVZJatkuOTMSJbyuEFEGKYkqfg7lZv3BN9NddKHwDUAQRAk4AT4VeA/Af5Wmqb/Wh4yQRAuAD8NXASWga8KgnDmt1ruuTUZsdeWKZGyUiyxFMTMNegX8rROdimOfbRaiU7OxJ8smO8/pKanyPeOMSo13NgjPL+GouZQ39onkWVyIsSqhKsIFK6+QPM//oPM/unPMsqbNDyJ1eECaTpGLuVwhIjZpMeqmcWTBaKsReTPqX7kk/g336CQthikMunHP87KW68zvXKBYpgwLyaMLZtVrcBVMgSKgBMnrJeX2OvdZxDLuJJMHpE0TtD2WkhbeR5nIuLeCVYug/7qQ7KnLpAMbbK9KYtRl5yY0v3SdQ6u32Pm+UjjTaphgOmkpCsN/OGAeiriex4aIhtXPshw5yzx4S7Rg11sU8ao1+kNuzxcqVBb3mDrm7cIZRlncxXRtZlMesTdMfPRhEptDWltA++5CxgPd3l8+zELz0F+4WPUVjcQHx0gdlrUnxzROlXD740oLi8R503SlSUKmxc4ylr0cjq+qiLLCiEutPoozSP0Qpn7UcJH3Ty9yYj8Uw3Mo0Om59dZvraFdusBxDLurT1yRh41k8OaxqyZdT6hp9wYBGAZPPfceeajFtdv3EYXRSIxpXvzJhE3EbMWs0IexfGZiiKyYXKyUme1WKDohwRmjkk1YCioCCvLRKTUFjbhR3+Ixp17DNZU2m5A40tvcOPKhHA2puTMkYwChlhD18vYcoCUqpSOT7BNBVnJMmnbiLJNLpKp2jFblTLyUhXRGdPpTxhkRApaGWssUVg4EAuM2xMOKyWWkpitw2Pc8YQRLjVBZvk/+xlsXcf+hV9hcXiAkLgsFj4z38HSDbzQZ82wOHZnJHGKS0LghYRRhPV6j7RqMQhcipLCOT1HVNRw3CGt1TpLd2zGD8ckSsTh7WMe6SanLla4ulpgpqd8YeryagWeKVcwhgqLQY83O3vIqUA5FtjJaiTRkOt+jl/Lr1OeBNzseqSCBkJKuvcf5qwUvnfL/I8BT9I0PRSEf+ejDj8F/Hyapj6wLwjCLvA88OpvZYCVVEbuuzRXDPbP5wlvHFKuVBCPHmEtPGRNZlGwiIsFrPmCujNFPbNGmph0cznakynF6wNuzkVO+Tbb9SrRwmUyt7He9yK3xBRxdQXtT/wJ+MLnmT98jDVzGDsLskYFa6GTeh7jwGNzb4p7bot+a4btfBPTDRgs1fGGY/zZfdYkEfHGHfz1ZXKv32NxeQt5puGIGsuqyOnGGh3Rg27C8bBHEMVEacKpTJlzVpZDQcTwAkRRZ+oGJLaN9Pab5DMmc2eCMB5RChXIpSRSxNpzzzCcj6mXKvQHbTw9T05QcKMxYQr5U9t0qxUMZ8awP2DZC9HCOdNXXkeajLj48n2S2wdIrTaJBWLQxR96JLMFysY6RXuBcHzCvd6Ir0Q9Uknkij3CWlvBrjUoTF38BEqtMYFusF6okhZrTItlBDHDO4rADXnOemeA/9yPkK1UUO/fJduZc6TKCO+7wtWVM2TO7HDx57/Io/Im6cFDHNd7N3GzJmNXCziHTTYyeczBgjSRMJKUhiOQGhrdzj7nrpyjbEf84jfefbQMLSUVRLK2g5Yvsnj2GvLeAZXRHMHUSPwAqTdkVCthXzlH+e17GL6HJAvE1QRdksj5PtErbzATQ9ynTtM/bqLW8qy88g4+MXI2z5N8BilcEHSmaPkyhqAwl0UGc5uiM8Ns5Mi4Id5xjxNB5Pjem2T3MpyrrfOg3UQVUwRBIclnEcoy5WKeJcdFm9uIm+s4tod+foetw4d0Mir+UYvGh1/k0dkdzMMT9DEkWoZ5HGH7LoYkM8ZFMQyUMEKSZKLg3fSLORQEw8Czcpw7tc6GVuJwMWKp7XBrPCRtFHB6c3ZmIpcezDDOZHn13h7OSpnsqRrpHY95Cl9s93lyOOG0KvOhbJZFGkGQMPYXnMta7CU2dydZJEEiTiAlIj34/PdEbH6v8r0S058Gfu43fP7zgiD8SeBN4D9P03QMrMC/Fnrb/E7bv4UgCH8G+DO/sc3PKPga5E7G+N0xBU2nO3cJqnlOmxqB7aDf3WX++36c4N4TVgIR580+ipFDOV0hd3oFo+9zVlFYCRbcmrXJBgK5SOLmbERxbYPo8BA/SEmuXSKaL8g4KVejiKOEdwutKRpBElPIliCWaMzztAo5umIPfIu87qFdu8RgcYtiv4/b2SOzdprmXgthbZueFPK8tYJjZpguFiSICFFCXdHxIp+EmNZ8SNyJSXSJ1J4xDw2KV8+Ts8fMnnQJT0aIc4c4V8QMJcoXn6FtKmhRSLecZyQ7SGaMljUgEqkkKu1zF8n/2usY0yH2cpGZBWks4cz6XM5nWPSmNOyA4f4JyXaR0FpGlTTWgmPkOOJJHOPu7VKLQCxX+I9mJfYa68z+xB9gvVri1C+9QteeICgZnILGY1NiKVMhabXJ3bnP+wdjFpaG+77n2H3ykK2sRcYANZqyWD9D65vf5qnHPS7Ohzh1g6eeuUrLHuKOx/i+yBuf+yrUCmgbdewrlzg86nLpehvLTUmtIo+EKcOdBs61De69+Q7OaAqiiETKJPLJaSoLGbzJhMJgglUpMpclQgn8KMBIE5w3bjAJIvKuh2VZTHsj5mHAKIrINE9ILpyicOkMxVYPr3OdWUHHDUNiKWRFi/BVAb8/YD4asRAVLrgCHwhE3ETnzpMBviBwSs6Q0Uw0M0eQN9jtt9FnCxJdwMtIOPksd08ekgZDNrdWOBPIOKaB88mP8MJowsRaYYBMtNdkor/F2sYmkfhttBScOEBUFAxJRIkjnDBAVWQq+SKRKDONUoqI4Mc4i4jlyjKdzQ1qfQdT0tB0jfytPdyfeJHcdMJcEamkMq3X7/N8Jot7cMD9ThujWuN2c0Zv7JEm8JYbMy9k+MEsWKMpQjFDtlBi3VVpz0WiGNI4BJLvkdT83uW7FlNBEFTgJ4H/+jtNfx/4K0D6nePfAP5T4Debsqa/2TXTNP1HwD/6zvVTgD0hpBLEZCQBPUkJXJfCRMGREhwCMpEEZoJ19z7+8hK7pRxmGJMNBXLHXUqSwNSzcQF3axnla02S06eYPXsN+f49unfuc2ZzHWm/zVCL0c43EAZjVtoqjVikFItMtAyTNOTWqM+FTI5mMkfym+wkVXLnTd6sXuAghQYpEyUgCmWSo33MSplZTqecMfnSvM3hdJ+xPUN0XQQhYZH4zNOQ6byPo1mULBUtm2f58hmchy3uPDoiGM6QOwPy9Qp2IcuxKpIVRFoamHmDkjsmMjR0xyB0AwLHw6zX6J87R+Fxm4/5Cl99/9MonR7JdExfCinJKU/udSnpKoE9p5AK7IUiVnuBLTtMj3sU45CoP0SKQmaA7Fg0DI17K1lKocezap77kzY5VeW1axvkRxMKVoliLJDfPWIk+cxUsJD5wVYGKSNx/PZ1fqQ9JRen/HJ+Tm/nFF/XVD6w/4iqZVH6+V9hfn4D5jN6sUfGiREfdPDShLg1Q9R08pLFE2VGKAo0qjWqxgSRmPHNJ+iSTBgG+ERkBQlV1+mVMmQdm7os0ZV8xqmC0J+QQ0JTIwq1Aq7jYV6+jJCmsLAp337ApGShFUrUyyvcC3ziqUMki+SqZUwhJhjNGXU6KNUCMjpFAoyJjWJaPNZS9FKZ982ypLMZD4WQw2SGUKuhyRKlucpzxQYPx21UMeTgpMWGlmHieoTNKUGxSrK2wVsP7iBUK6wNU9xxk61Iw3rzJnMiVFkljCAgRdJUgjhEdSMQBIwgoRdOsWo1ni9tsClnEU2N7DzLrGTwtT/5o+z/05+jPhlTUDQuCgY3bj5C2dwiPTxitphRFEEOXHxZpnJrzJ2VgElokqo6sqaiSgK7bkI7FPmpRpWy6/FFweSGI5PGMWngQhyQdl/5bqXm9zzfi5npjwBvp2naBfj1I4AgCP8Y+PWbJE1g7Tf0WwV+y4Wwh889hYLEYu8QqXmCqekMdYklISFfXsNQEk4unmUyHyM028RPX+P+7kOkdpPs5YuYL36AnD2l+PNf4lEpQ/wHfxzl6kWM/T1sTSWulHnn+mto2+covvYa5URE0XScQhHfs4kKeVJdREgTjEoWERl15qA0RxyqC+aLCfFyA2VWY66V0GKXSPMICi6l7U0y33wDLVtH6Y+ZOG18d4GZQiyJaLJCSdcRowQ3DNiY+ejCFLFQYkkrsHvjLcJEQDZMnGqJ+XyMmcmiSipbasp0NsMtmogFCy2yCCUNZTOPXK3g2g7x0WPeiCXO3Qx5sxij7mywsdvEnUXkM0Wyqko8cugrKVapxkQWKZ26QDqVEK6/SR0Nx1CZRR5rksG+5NLVc5iHffZuHxHFEfs7m5DGqGMXa9pm8Qd+mOjUMvHXf43B3iHnaqfRDZ3zHZedjIyh6piaRuP+LsL5U5yUdFqzCctSipZ61EYOPURKJ1OCBFTfZ1TIsjKZI2YgCUyu+ycsLi2jPJPn9OMAUQTRMnEjF2EOepAi6CKxrlGuFbACaJ/aJH/UJpPXMQYihacuoWSLHJ3sM7t6maKVReu2yZTLpDunyHZO8IcjFklK79tvk2l3qC8iZpqIbArQKJJNlwmmNsxHVGWZJJtjL3GRFIPj1QaH7RYZ00SPAsLWgMPbryOXy2xmligZPleNNdbO79AdjXjnYA8lb7Ac6zzY2sA5v4b28gk3fZucmpIbThlFIvp4hizLHKkSoiaQ8VXmoYcWpywEEVdMSUMXXdGJNYVMscDawiKdhKCnNDfyCNdv4Oky1uoGx7t3yYoqq0cD7tcrnC81CJUDjCh6N5ZeFthOLTaMPBvPNbj/6j7lxRj9yjJ39mUGQ4kbocgnzYS+m+KnMmm8gDh69/W/A74XYvpH+Q1LfEEQltI0bX/n4+8H7nzn/aeBfyEIwt/k3Q2o08Abv9VB9K1tgjv3UMOASrWGWK2jTPqImQr3JZ1RGU49dxFvNGH5+ffTDhyW7uyT2XvCUM/RKu2jLZWZfuRpouaEcNyje+MtRFVCzevMEw93OOYa+5TmC+T1DUIxgFqJpT0XIQ4ZKiG+niWYTNn1h9ReuIL2resszeesOjZ+LsuiUWKUikyHRxTGCwzJYDTq44/7lJdOsWJlWQkmCFqOue/ghh4rRhEjjGiKC3KKxj13xnqaJbi9yxMRksjnKAk5X6yhZVOu1raI23MWmsgwSWClTvH+EWE9y2I5Ihr7pGmK9eABWqoRBzZprsY7iymmtUW2sUH04C760CGSRNjaJh4cc7BcpZErwmiM+rVXkA6OWKgyiiYTJg61SKCjadxJA+ZXnyKfwmBVoBwuiFs9Kr0p5uYK3sWL3GdB40PPoM8nqE+OqReXsASDegh+c8xL2oil8+eRM32Udhd9+TJbZolKx0fUq5xrxmy1A+aBTFtKiXSNSZJy2ZEpJjKxqiNqIsEzqzhVlcE7Q8RfuA9jm3juEacRiqGTefFjPPIP0O/u4+lZBCvAFQVK4ykKQK1CEMaoGY3l2QRh4eLIKsJRm0K5QrS+TGd7jWm7S8UsYJbKeGJKNJgwbU+xVta5+74PcO7mQxrNNp1MzLSSIxMAokH/5nUkSaViaPi6QmNlGWM4omcviIM247UVeqMJnemAtVSijkpNydE7t8lu1SKfwCijoskSk6lD2J+STh0CI4McSwhhSMeQENMAMQrJyBoTf0EqgShJpLKIuAhQzQzHxSz5oyElD9zxAD1aQl3ZxD68BcUMp1OdNJ4jhTIHwQj1qbMs39zjsT1GC0Uk2aQ6iDF3R5yd+mixyPBmm2GlzEC0OJ5JHFQtep4MwruFHBHF/z2s8IHvUkwFQTCBTwD/x9/Q/D8IgnCNd5fwB7/+XZqmdwVB+EXgHhABf+63upMP0HiwR2E4RhITdCuLNh6RVkvcHQxJFy7qRz/O9KSDIQjM8wWcvRbvWwSojS3EJydIS7ss9u/SjUEzc0w8h5ku4x3eJZ55iKFC7dQ2t0gxKiXWjRSlvkrbmFCzbTKKxtVpwH4cMZISTpUr3HrzLhU/5Ik3Rzc0FkaJ427CduKQ10WUtSqFqz+AbieU23OUSoXJ8THntSXQRGTVYxr7WLLOIHEQE0gFyAky3STGnLjEUYgqStQUBSeJSGyHviKQLhbYuRqp78J+B1eOUbsjSsMW46uXkJ05yW6XWpDg5fM89hyyrQHeSRvr9iPyYkLspZR1hWkhxyxrUCuUqR90mI+HuOMhYRwylBMMw4RJSK2wwmPPpr+2TH3cora0zuDgCHd1HeX+IyanN8iuLOGs1Tizs01dlfFvPaYm5ViS6qwFBUJTYm81opyCLIfkzp/mQFEpChrveAu+ZcIzS9v88PU2JSFPRdB4QZIZWBrCn34RpTkjs2cTNMdktTpNS2d63EL79i0KkYCgCkRRiBwnhPUSR7M+mwc9klBAXDiEixDFMLF8lXR7mYkQclzKkBtCTgkxM2W6j3eZVSs07QGLrR2K65s86E45H4lolTJB64TU9bGef4bFBz+IenOf3L13KCkai1oVL4YoSoljh5VAQlUl5FCkF3r07DlqzsKagxQlLOYj2r7NdKpwYjtcCBL6zoK4mMfe2+fBZz+Llc9jpTG9bIEfKG0QJD3aocsoDhmslvFqVfJEhLMFM9tFEAWsFGRVQRAEFqHHkRCyPh3ylWcyWAOXY3XCc4ciq3ePkKYTtkyJQiRxbzphdyKgySrzSp43nz/H5n4LszumrucoI2EeeywkFZeQspdyajpjXxaYh1k+3REJSUABBOFdUf3N7+b9B8d3JaZpmi6A8r/R9if+Pef/VeCv/k7GKjx/FWOwQRAsUAo1ui+9gue4PE1Itj3A/1df5e61bW7PRqj9IbXBjLmmkZdEtP02+qdaFFaWMX/gGQ4ePqa8f8SpYo47izk9RUEwRGLTIpKz/z/2/itYtvTK78R+2+/c6f3x9p7r762qW3XLoQooeDSI9nStiKYJckiNFKFRKKQg50GhF01oZiJmQiEyKE5TpJqcJtui0QZooAEUClWFcrfM9eZ4f9Lbnds7PZyLbnCih9NkKABVt/4vJ3PlPvvkyZXrt9f3rbW/j9pLL9I73sDt9HhSyZIemlhOl9+Yy7GSzTN97LPtD6iLCnK5Sj7wsCSRhtcmf79NlMvB5z+PNRkRth6SD3S2zs0w60TUCmXO6UU8I+GDjbdQ1BTDwGZsm3T9CbIoYKgZUrGAG/p4SUJBlBnHMXlZwxR1opGAmyRMJhaBDmkkBoKKltNwWxFvvPMGz//Dv0vajXn02huoR2NUWcCJIgxZxlaGNA0FWQVnJcdMLOHPZsiNLRzHJnLHp8NS18WLAwzTpSilOFITfra4wGZ1Bm7v0nl4iDZVoxO69FamWPjuW6ScNSKnhxm4TP/gPZQH66REAzmWeFQLMIsCarlCPSwSqxJSMuHSN14j8CK6dYOxafNO0WDjyQwXTwSuHgoofQ/huTWKzz9BHEdEQYhz2EZ4O00hjrC/ex/J9WmHPv1YQpckiAVCSeSFBztsKyEjTaU2V8dotwkMjdwXPoNzsIOWq5JpNskNLORQI1PWmBRL9M4sYUogVStE2RS+NWZ90kP2PbKfewH5B3dxlueI3nmbmW+/RUE12CkrdMSEYpIQGxmcKEJXdMT6FANzhJfXmA3TiP0Ij5jBaExj6FKYmSEXCpSVFN716wzzaeRH68ibd1mcTIgHFmkR1haqGMUSg36PMIFJEiBkU4zm6hiHJ0hRghtH5BJwA5dR4KGqKTIpgw9279CfWSE4cxaz+RHqfA0zSlgs1mgvz/KDGQWjNeLuN+7w9vvbTDSVdFrnqX/wDzl43mPtzi6hH9Po9jjqhKTHMnEYMAh9imbCJ54scHTcIgwNdu0MXggCIgjiXxKUfozugLp5sMd0LOKctKhrXaZrNaSnLtJ7dJNBZ8RM2+OMkuJKL6SxdUxW03FMm3HsE4YeF8vTNEiI1lZY6Q64sN/loe0zPXsGjg+xEg8CiCKX8dEJUaGOY/nsNC2UUpr0dpeprQF3KlnsyhyljIZ15jw5xyI4TGErAnF1AVvUUDYfUfzmt/Hml5AW1+gWi4iHB0waQ8yn1vDu7EKzB6qClDdwhhM0XeNcukafAEcQiYhQUlmQRMRCgUUrRJpfJAlt+rU8Ui5LKp3BF0L88xfR3nyfUS7Dnioy/9Kncd66we733qY6muCKCVoxw5ykM0wSklIO3ZBQwxi/49A/uUugq8R9F2vUJ4ljzEzM2bUVypZDuTthz9CJ1Rg5X0HY65zufKo6RFaXupqlahhcsyL8W5scTNUwnAHpaIBQLpIpzHEybyCJIVc/8xS3D3cZ9PokboSzdcLg4BBvvkhu5QleMXROvv1deuk8rWKdRiHHnWpC1TrhiZ1DioUSrf1tsvkCfhBTOwo5b9Z5ixNEWSPJK0SOTxK5OAf7bIgSTjbNfH4K03EYiiI5ReHAnWDXCqiWRVEycAt5nH6fYKZGqpRFeLhLvphBLRSxj0947j/7+3hjh+w//xWGW8cMV+c5/949irceUYlk+nkVJZvDUBSsvI7RNckJLoIi0Bh3UEc2+pGJPVNirIOclknLGdZEHVNWsFQV/6UnaSk6crGAnFf55EmbQMsTiDFhSuK438Q0x6RsE0+IyeSzdJ+7TqbRYU3KYEYBPXeIGfoU8wVyfsjQMgkax+gzM+xs3uHiTIXMlQsEvk+uZXI/G2IqMcPpKaZys3ifd5m7c4dDRUDPFbATleKlK2zPLfDgozswMdm4tEK+0WHRdSj1BqxlDPS5PPP3Wlg6jKQIQY+ZcV3uJgreXxKgfmxg+sxGA9easJCIiDkd9RNnGbX3kA0dOXIoTFXQn32GMwvn4eSYo2cvki3WmGr2aNkTWtkMumlS/uqrnJyr0Z6vIVsuzzcG3C4UkQwNHZ+N40N8VUDLzlJUM1Sev0igJGw+uI8sCpzxcrhCwqMkYW3kMimnEc9f5GBioYsiuXaHiefj6yrTNx/R/uZ3qV6/TiwK+EaORj1L6lPP8fLNXZrHETuyTyLotFIZQs9FkzTU//yX8epF7n//TSahS6qQobrVpn7xKuVIxF6Z5e69u1QLNdBlxtkcVtFgsVpCObdC0fEo/uEbTMUyerWCFfkEGYV2SsQnwYhd0sV5VNMka3uERp4gdPAsE0GUcdMC+VKFzeVZ+rrES3cOuC96LM4u8w1DJrp6FuOhSHpji9C10VzQEgG7kmH0hQWeLcqEgwMmYYKASFCfIWdIVOeq3HjnBuk7Yww5JA5CCl5ERtPYGweIl65wZuDyyue/yDgMye5bLN4fsZGPuTHs87W9f0ktn2N5uoa/OEeclak/GrA4lOmkp7lhHyKHEAQhpuuQVRUUXUOQZWxZJBWr6FKA53mkjo8YnT+HP+qTSikorTbCeIixvU/wS3+DxVAkVSkwinyU3/wDOh98yMzKPPp4SJksqVAiub/OGipKRmMnLTHstYjqNdz9LrYXo6ZiUsLp7ahFBWaNIseJhigEWI8G6PNzmIZEamOf4Pw5bhU0jE6P2b09fq56gUpthTeOHmCXCxiGjCLbqEddlHSGvaKKqih033sfYWaJ6EtfQLt1G+ODERlFo7i0zI4gUms0mQz7TIYD1so1hh/e5OzMT1NrBXTSOcbBgMnAYuatRzy6cpbM3h5rrot74QlmnnuBxZeeJ3+ww3ZnyEmuBE8ZpDwHf3mBh6ZJwR5zMhngtUYsLE7Rbvu0xiHpOOTzWsJSNOIbYh7rJw2QH4M+NjC1PvEiz2zs4XS75HNVuqqEt9NgWk/hDx3MWo7j3/hdDk4GpAYD7NEEuVjnZO0McbtDKkl44v4utuuSMU3uxja1558it3HEhZkqu/uHDPt9Lq2cpTFo093zma4tsH54yLP1OvNGnjAOsZbnqNXmIQzZkYdc9irEtsS5VIl4uE06UXGrNYJGk3QYU/M9Mnt7BK88j9WbkPzxa+xHMBjbJOYYy3cQgpBYFDFkiWp9jm1NILiwiBL4sPmIEJVJxiIZNInKVRxNR1wpo4o58AM23/weq08/yX4QcmKNuNhXWJJz6IaMNjtHMGwy1jzqsobVHyJWS4jFEiPHxXQ7SALYKjhzRYTuCD2XxZyrMlJl7oxMkpk0jloB2ydaq1MIfLKRR6aQR/cDBvM1kgScMzWUmTxhPgZJRmprCGHIyb0P8Mohm//qA6KjBsVqndrZJ7i/e4/pIOSz588z0xkyuXPA2Y0B0hfXyNVScC7EGz1A67a5XeqzT8D0UZu9nX2Utz+iOFvjwp0YJRa4kBS4LRzTGAyRBFBEgdqZGcRiAe1ohGePCBIFLYZ8NU2/s0sljPGzOez1dQwCpKV57MY+xh99izhXwD9skBMSEh2Gxyfk3RD6fUQjzfRBi6qbEObTrM+qGLJOJZfBdUO2opihZVPzRKRyBt12icKAu0S0jzpI9SJFXefAiJCaHc6GAmztceDYpC9dZM2x6f7gjzkem6TCgGA0xHYkFBRyaophFKPkiixlCzSCCXoqjS1GCHGCOrdK0NzFEkQahQxxeoXZkwKFIOSo10CrFXjja7+Lq8g89+Q1sk7MeDzh5Csv08IjXzC4sdFmqmBgRQ6tjTtYWoqH775P+exF4mwJKeUyOdlldNRhCJiXzuI+fMThcI+JGyMkBq4Pdr1GLvSxPvzuTxofPxZ9bGDqyz4baYmcWsOKErytCWSrDHJpjJ/+CsGjHZ749a9zSavzjTCi0BkzqlhouwfExFzYPKIXBqQj0I9GVGZLfBhGlBbLyJUaRpIwsj1MOWKsRCiJSJwE5Gslxo0mmZkSnh8jr50n3R5wcaaCpfnsdg6JMyqZ7BIVcZnstM7uziFpPQ0Vgyi2adZyqBMLvd3j7FEH07UoiApdc0QkgYZEUVAIELHOL+EWMzj7DazGEdVnruM2ekyyeQwJWt/7Aa6Q4B8e0uz2WXFjftowuN9qIAopMlIO2R/C2hxi4FEcjTkZDMjVcww9n8lUjVQqQ9bsMbI9SGdR15aZpEEdmORDhaIbIb+/zQdLQ15cmqe9tsoTX3+XWiaHs+Vj9CeEioAoKUx+9svYnT7nPvqI6LnzYKSwYoeJ7eIHE6adAOton6OjfYxiFsSEVxZX0V++xLNnSiT9MdnrZ5l9q4d0v0c2VOhvDrBKKtJTM/TckK/+3kM+igcoWpphbKEZEtOhTrx7xDcClxUxgx5EdHMp0sMANS2TOzNHyRLoSwlCLoUycqnVSsQiHLgJoRURSC4cNdBCl3CuinDtGXLZHFZ3gHvSpDozjXFmCbPVJttssrW4wvzQZcoLuT4KORFV7i9OIUjQ2n3EwvwypXSeou+Sl0PmsynGqsBBd0A7JWO4DjMpA8nzEacqGCHMn7lMzpzQd8Yshy56t4nlCjS6LaZiyMcSRr7AbrNNmFM4MiSOeh1G2zaDhVmSkzaOOSF4+WWSTIqpoQhTi7yaUpFVDW1xmn6jTZKROSfNsT3ukTMkyqOAj7SIXDaD/MQyj87NMHjnPQ72NmkmLpnvfYsV10aefwnZiVk5u4w1M4OSMvCGA3KqgpKtYLU69Nf3mH7+RSbzq3D/AfPdEbYTcE/SiGXjJ42OH5s+NjC9ttdHFw0+s3e6/4wvhYx1+ObFEpPPPkHy9e9SCxLqCSylKtwcDFFufEA79viCL1ONJcxSBpwQ3UjTu3YR7aTJoJIlmV5g7qhF2XUQhzbKwjJRa0S/P+LZXI0TSaAwU0V9dMT4wSY9TSCxLNTSEtkDneDeOt3CESUxhWUYlKp1EtchQAJN53gwZLU8jzHxCGQJWVFZH3WZymVJbIc4DJgICWqmwL4mcv8Pv8P8l75IZm4JUQIpr5Ov5UhZNnkpRmy2iNJ5olKRcTnDWydHnN1uUU+laFbKJMUij5RDah9+hB8qJDmd0HcoxgJaJmBcKXKyWGHZ3Kc1n0VcnCe68R7jcolwdgqh0WBlAF8cS2wX5ojevMPMyGQsAk2Hvj2ikKtwMlXH6fd48t4G2eurBMUcgQqW7yAPPNIP+pTP1HFHAxbK0yhxRDsXM1o8j+BrpK7Mo6ZUIsC5Cnoo0F3KE6xkkebSTB4coP/+fW7pDoQJ4cQkcF28JMIUBE4KeZZR6XR6JL7NaqoEPrSmZLYPu0yMHHN7MV3PIZ6q0uw08XQJpT5LqlQlTiK8wMbxbWQnjygInHz4LkYmx9NNk6Wf+wXsehXzjXcQUzaROcDP5xFtDyUl09TBv3cfX1WY0xRCqcdeZ0xi2ShRxHES4aGxmCtBYGP7AnpexcpkwbLJnT9PX5EI+y2GUYBoOwTNBjVTpCNGhJpM3nMxA4/5jMGglGK/65O98gShb2PkC9y5fRvDGWPO15lIMkuJTWlphbNzsygPN1FPOgwVAVOR6OkSC9U1Thr7KLM12mcXaRWLFKbmSE1VSc+3sV98keH775K7dAmhViXsmgiZIvW1S5wIEu7EQTQyZM6uoPf7KLv7uIM++fNnWPqZn6H1/kc4nQ6i7+A32uy+dfcnTI4fnz42MB2mDeJ2kxv5HE1CNDHhvJ5DEVXs9R2md4/Z9h2K3ohP52bJB22OLIeb/pC2ksJIV1C8hK5pIb7wDH6zTTbwOLTBP2gilKpM2y4tTSYTOpiejyzJPGodkKmUUC+cY3hvA7t3RDeVJlOdx+qMmKpWqZpDUnmBHbnAfFlnMjtPNraRjg+JahmMAMqmTfWoR9O0cAObmiQzdCaYvk9KEFlLlTELBca6xPRTT6K32mx/6+soq6vkL55HnSnRDyYMnnsGubqAcfk8ia7Q/tpv8fzNJivFGbqtNlKzgeNHSI5FMlNnHEUEWQ8VA/vsWUbGBOl4gnazhbNyGaeooyQClal5GmKArgtUWgajQoL/9AXWApmc6SEpOqOpOluhhd4P2Uu5JOeXKe8cU84IRNNZfCICM2Ji2aCK5J5cYL2qUXVNRrs9MF0yZZ317j5Pp6eZhCGZ+QBzYCEECXM/dRFRAzHx8XwXfbvH7wdbHAp9hLGHb08gKyOKkNgx9YMRmpUwICGRRHYuzLJSLxHubjCHgSrlkcoaBT8Flo/SH5FO5xCqMs2dDbqeg+p5SIKA5scIx79NRYq5XluiOLNC8PYHPHDa7Mcm9WqObrtDWc4QhBE7gwbdJECYLSDaLj1BxVg6jzPeJupMMFQdS9FIeR7jokpZX2FKbCALAarl4PkR2aNDhFKBo2kDpRmxWl1kVFI52t4lkNNoY59ZScd0Yw5Vlf0gIicp6NM1JNdi4Fl8cnYB5ZWXCNJZHmzeI2N6yLkCUadHcXqO0YNbeOUybuV09aaX9sfsjyw6WZf8/T1q3j7eL9bpiR7xuUVqC3WEtfOIEWhFjYyfUDzoMHrlEySHh/iOTWVhDvwQJAmlUkFI5xETmdC1qV67TLFcYnB0gpHOsPyLPX71lS/8pPHxY9HHBqZHhTTT1XPcbTU5mCqz+3CD5z91jVq1hti1iEYDyqLMVjKkYGc5FMZ82jiDIgQUijUUN8ByAwoA5pi/Y8xyP25Q/OTn6KZ1ErOLeWWKbLbCoNNHqKZwj0/wVZVgPOGkVKQYxIiNHvVcwN71ZxB1mfLKGkq1SCQpZCd9WodbZHf3USwdr1rHDULmswqpjzbAshFFgaHvYicRWVWnqBkUr14i+Nwn6EYS5bV5/L1dmKlSvf4ybqGImNVxhxOE7WMufumv4ZWKyMUUu699i6mvvc5ZK0133qfn2WS6Dkrg4QY+geczenqOGTnLuGUR7m5iriwTllSyew3e7eyyVrrEp5QUw8U54g9vkj/p4mcysLDAMKtzMG6hGhI7ksjsaMT8YoWGEFGKwDEt1h7tMHxxGlF0GI1cAj8mkAIUReQAF6/hcPxEmelrMzz1bpft3WNa777NjUDlheXrNG7f4b7Y4XxlgbnlVUaTPkHio/oSJ60W6/IIDvo83REQENi6Vsdxhzy/7/CJIM+G4jKSwFIiZkOHtJjmOBRorc3w1NwZont3GXX6+ILAPgGmGlCqZtHVKwTNYzJeQM4yqasZrDBCiT0KlRm0WEQdjans7nI76PLJxUvEL16m+C9/g1E2w3yhSDmn0Rt1yVkRblFhq20x70LVF+krMY7tEj95DTUcY5gukgBJohEuL2BsbTC2JjRGQ5bKBeKLC7QvXyU56JN7tIWvpakbCscXS6RyGdyDIa45wCgU2Ou3iW0bZTxGe/llonINURRYGDj4moYfxsyEMHa6+P0hV5oj7udS9At5hLHCK6knOLF79N/+EH9mhsGNG6S064RLi2THE04GNxCGI8SmRmphjat9i34qTadSJqUXKE7nkGSV4+MDCufOMNg8ZnTcIEoCjHIJqVgmly9gDno0tv5irab/H9LHBqbu4iz5/9dvcXx2ntV/9H9k+Q+/QeHohJ4zxuiNyNgRQeQjqwoD3+SzpWXySpaXknk01+AoGTJwe2Rnp7h8mOCn+mxP1+DdDxlHTbSLF5EvvcS4dcTxzbuc/+IXcBWBUaNNYXoaWRAo16dI+n3assh12+NhscCgVkQ3RxS7DoogYZ67jPD+DcxWg1E7YnHpLEIEqYlNJhEICnn2xh0830fXNURFZ/LCde7MzWGbPsVmm5yiMBgNiWoFCqvnibqHOI1jzq6cYdI4IVBEksE+0h99m/OHPZK5NBNGRLGLOBiRykuoiYjo+sQ9l7vzIZUoIn3hGlpmgmfZ5M7O8aQb0RZc7l57FuXWR+RlhUBV8F54mkE6g/TgAUa7g6dEyLVpnGGPysgmmJ5jcnDI82/fZ9mKufHuJh4eaj0HQoQkCDhOSKMzxHRsivUqwysV3rYc0us2op8w+ugttqZqzL1wnkvmFNFH+4zfuMvk+AA9q6OKKvuNDTajES91Ie0HkMQ8v+PQFgUMP+SGZOPEAaqqkV4oU/7CWdTXBjyV5NneHvDhyXv0vAlzmSIVQ6Us5HAkgc1Bm6qsEJxbotNosRTbhJkMLnBe1HlllCUppHAig6FR4Om7uzglh0tvfUT18gWOrQlNzyfUi7i9FumZKn6vS3bngGY2Td7QwZDRJQE/b6N0ZKJMgUhO0448sisz0NvHOxmxltY5Gk0od8eM33gVLVtAyIjUxCJvK2MOhJAvayKD0CdIEqTlOfQ4Jrl1G01W8ZOEoNnC0LOk3YCF6gwDc0JWT9GfmyKJYi5MBOIo5EEsIqV1lDjEiTRSqkQ8HlPc2iVyEibVTYx+hzAtMi5nOTd9hsXeBHd5mge2R640TZTY9NpDLl0+SzwzTTgeELRuYe4fEzsRvqVz9PABcipHEodsf+u9nzQ6fmz62MC0uneX/KVzVO485O1/8k+Ye/ce/ZNjosAnk8lzUa0zDEaMYocGE6wkhWIAvkQnchnHLlJWZ7G0RKnR5jAK0e0UO1LA3EmX7dIA73f/kIX5FT5x/jLmb3yV7Jc/h3ZxleSr3yDnBwxrNUa1LF/c6POweYyVh/IHHawb67j5EvWqjlG7hlKdo+2IGK5Ju6gzerjJS7k8iu8TJjEpWQM4hWwhjfKZzzDZPkBuDXByMgNBxG0OUWeySCSo0+fQRhZaKsu6bVKRY7rffpXz7++gyBBmMmQkHXtyOmQNBHAVAy2lIN3eY36YxxcD+uMaeVlh4dYWZHUsLU24MM2Hr75KQkLpM8+x+/5HrKzMMPW1V1nbOyA1XWVvOGGnmiW+sMj0uecYvvM95vMay72AseNyDZ3uI5udTIqQEPyQ9lGP0VGfw71Dnvmlz1EOZLyMgZRPkx/4hIlPI9knzufJNWymUxLZE4eh7bDtNpEMg9dG+0StDp4Vk5VUVE1j0cgz3H5IR0ggUYiTmJQoURpL2A9HiM0O9+0+SeizOBLIETGIDtnJqxTWVsi4Ad04Rml1KKQ0eqKANbtA0w1JZ7MoO4f8q8kbzKtpiufO8KCxw80oYKnR5pNBxNZ8GTOwkYw8Sa+H6tg09k1WSzUul2foyj5m2kRSBTRJJzNMqE0vcfT669ybr5LyJ7gffEBFSaOer1BU0gQnDZobRwQZ2KPNk0mOB3aXX++ZPL1WZrC3gdkbU67W8KIYt9PEmKkRKgn+7hZWJU+8vU7YOGR87gyikWZ94wF2Q8ZMKWyEEvEg5pILM67Id4ZHXJGzjGpZ9KMD4q0DjmMBJRyTnjhczMzRvbpGMHF4I3EJytO4rRFKQUYrFrGPhxwebJM5d5lYiFE0n0w5TSrewB3nsCc2uZWLDPd22Pmdf/uTBcePUR8bmPozy7y9onK1lOPSV7+OIUpU5CzllM58bo7XlRHJxjGSksL2TaJxg1gTqMQJnVoCXZHZuWXONCLaqsc0Kf6OpLFdXqN/POT4owcsFCuUVs7THwyo3tmmb4WEscNyojEqZsEPqaYKtLQeF3d7SBWBcblMPRHJbR3Q0esIwzaD/T1Cc4JRrdONI1TT4n1ZouR5ZMYBKiJjSSQr65Tnl9hxfazdbWZjESszR+SetvGoUUhi9xn1tqlKIkE+j+6YuEeb5N+8yZwTs3flInYiYE9C9JFHWxbJPv0io/V13HabKKuSURQSQUeWPaJuhoJU5zgDsZFHObLwKmWOdnc5eHCfYqlM6f4RP7XdRY9TDJ2EOFugVa7z2s42q3sd5JHJ3xxWqbh59uKEje4Ow3zM69/YYvXpVapTRcrFEo2HR5S1PFrDR7iWIRoNYb6EYHU5sgbYX/0mA8viqdlzFNUce8qYbyhHGOk0+sDiTCNCsyXCxCczs0Dqwhk+2ttFACpqCkeRMWZKYEWc2A5s9iFj4MoRM7rBUAjwZRnVDJmbBPQebKDV6ixKIn0lIa8oqCtL+I7PaGuX/r09vG6fPxwNyCsKcechg0TEndhcG3h8Zvl5fmcwxkxUrNAl32kTxwnTKyunW4bIGrGawr2SQ97ahijC32rxgRsRag5VK2DZTXAqBUzHImk0aGVSOL5DKZ2nH1mcS6epCTmO1RF+KyF10oOxjSELyFGEIEqUtDRO6GJHY3b6Aatna3xhZZF3zD4NQSRTq8BGiDYcEc5d4JHXJ0lrzL38Eo3f+AOk7oCmZKNm59DQ0VGYD7P8/nSd9ekcSbFIffk8wcYjzOkCGFkEPUMiCISuSyLKxN6AMhGbvRFyegZRmWBIWbrvfcD0p76MORwhKtpPmBo/Xn1sYFp5/UPMnV22HIcrsoZDQAaVglah1esiWA2mylMcm33SmkZBTXNBnWZoN7FbfY7mK8zVSqRshTAeIisay/tjVh7c5VZG4eVOh3Ep4K3lExayOpcvXGJj4z7lwCMnGAydAqXqFMef+gSFSCBrTlDW+/Sfmsa/uoK810cSDdKGgackpNbmGK+cw/jgDquBzIpc4oPMmFIS4NsjnFgAP+BRY4/i4R7P//Jfp/W91xkRMWl28V2I232sQZ8EicXnn8QYuaTyKUb3PuR610LJG0izFVwjz2R7E0ExiMoaPU1D8CJq2Qr6pVUmvS3cJMKoZVGHWSapMaUohbXZZnI84Es///M4TsSNgoGRz5P657/BR7FFSctSiQVamk7hmU+ibO/y9vCI/yy7QqafpxW49N0ei6LKsJ6lc2OD3EGXerlIe/eEuVDhfGqGvYGD0JqglguMnlpgVTS42Mki9IbE7zziaMFkfKbEPb+JH7nEsc7+hw/5qcwcXuAzP72MdWGJQRLj7h8zo6bRRJFhEtHXFXJWTA4BN5MhSGdwGvvs1lLE5RpRKJEKoRqEGKMxrW4P5blLrKYNFE8ia6RxBYuFoy57jQZ7gUcvjhl5HnISc6G+xtPlLC+2LX578z06n32e/NlF7K0tovl58ofHqFeu0j84oDmVZ4CAOexQSmVIAMX3KdkJni0x++nrOKMewzt3yEYJqVwWtzKLOXyAUZIo9DVWi4t84I54a9dhOgXnhyN6JPipFFY5h5g3SB0ckpJhxtPImj2Kt9eZKy8haALFKCHV7hKVynT3emRMC3F5EfvMGbycTml1lUz3hKFrMutHfGnqWVQjhaaWuHVwxFExg6HrTNwxGCmkbpfhQQspY5Eu59CmpkgVM5itBidRArIM9ggBFytZRjYCAjEiHDURxPRPGhs/Vn1sYLqWynEhmsETxux/vkRraOJ8NML0TdpeFz2OMX2LfhJQDBJUKSbvZcgnVTKZFI9KBfoixElAMZJAiIgR+NDa49Vhk0Ujy+eyqyjbR/DX15CDClYvTyWXRRJzyGszuI0m7G/TWpxh17eZ3xTJ16ZRszmaSxHZ3gYtOaFQmeNYEki9+hYkMYgCvu9zKZb4lnnEwvQ0QrtBZBg451aJ7r/P4lIJNw6xmk0EQUTL6qRKBay+SX4my/z6AblExqxnGH54nzD2aHs2mUcbHD1xhVQlj97p0en3kV79DtJUFUszMKMGCgNKSpHO0RArcUj6j5hqlckORthSyN3/8TeoXFljaq5E6o/f5JOBR1TPsS2LNEsCXs5g/NrbfLph8kZWZbZxwA/6W8S+T0lIMCsFuhWdIIxISDDbffq7J/zi9FXWhCztSYff+tYdUmqasZ8wk9G4cmGVRSsgdzhmLCfsZSJSYYVspkpm4KAWy+x6Pl+pXWU0XeSeGBMeHvKSUWZ9MiIrKpwVFfaP+sSKxmC2gphX8CSBcq4IaZ22aSIqJZKJS1f0ESyHc8U52kaNceCg3XtI6VPPsyfonBgKR8QcxREhkJYV3GKejB6TTXzezcfknnmSGVGiJ8nUvITRwhxGNs8wdHDOLiKdP0O9MaA8M4N7cAetG6P3BiTFHJde+VuknjjL1g/ewh0MyebLiEoGY2OHMJsiOO7iIHOwv8G24LPZsfhreYVp3WAHH80JMcYecSyj/I2/hnfrfTqdHouyiJmY/IuN24ReQPbM6dJ36aefBM8jJ6QwLl/D+c73WfVjrHyBvZ/9NNP39jGyFXQjj+D6yIrCi8os98t1HETcYYdULodcrlBLV+jcvcPxB5uErseZn/sihZULxIGHkhLACGjsGtz/9d+iOFsntVZFS7uE4V+eHlP4GMH0+MMPGUZQ0jTWl2XS/SzxhoUSi6RklcV0hWHosCPYdLCZ06uovoCvpClbEvpmE63QoR/M0Qs8lCTho0mXjaDJhtVk0+vy0aSHnETEN15n/foz1C5dJJREgsos+s4OYjxBQsJxBsiaQXLhAmK3g3XcpZAX8FSdeOOIcqRw0m2Ryed4pKqMzT0Odu+zkC4i2CM+kGM+M71CdGGZ8aeusVytoNx+gCerpAo54iDGKOURClXM5i3yM2vMfbjHoy88y9Gtd7m83eGc6bO5ukRWCOlEPkExw8S1qboxgaHQcEeUvABBiYkDmaAbULizgZ8SkD0P0baRU2lqCBw5Lv6r75KfBMwftTjRUsSjMYVKFiWX4r1UlzObXeYGNieqQnumyjNeHzvSsCsGJzUFOy/z8hevEXkR2x9soakCGUEkX8jQap+wNRYIhAkCIj1HBFx6pTR7kyFnogTx0KXdHeDYEy6Q5/P5JdbDPq+ZTS5HeWQnIG+59OWQJzMlWlHEttdHS3R6K9OoWsDUsM8oVhlGJvIowLBdPH1I5HlMGxW088tsTRUJxjbT2TTlp59h4ytfYvB7f4T1xAUWygV4733cMOTq2QvcnIzYONrH1jOkpmpkJ22e1BfpKQprsgaZIhu+yebeDlEhzzPZLLao0I1GOL0ho37IS4UCmTOrHOYNgq/+Hu7t+yyNfYI5idFkgCqLFHM5Yk8h4/m0czqWLaOKFgVVYl8TKaoZxCDCaRwyvWFgJwlBkHCSxJjWCLleRqmepdbq433/TcSUzpP7NnvXr5HYFuZrr3GxN0Ec9jg+3sOYuc69v/Ii7sGAnzoG3U0QdJeLls5sZ8S9iUTkBySzMlqxStbp0jq5R2n5DO37j/D6baoXn2L7/TeJxJjQzfD+/+O30Ippdt64gVxOs/jJZYjGP2ls/Fj1sYFpKZ1jEk84rEkEKRntXIVhyye6cYQUhXSCCeMkJJUxkBURS3JoiWPKchFfjrlaXOFwcEioRoiJyH15SP7aGsb3GqQ1A0GAfmgSE1NL0tzeWkefL3Mh1unffJc8AVpWYHByiLswR7nZJC0FWMjI7X0SsUo2neHLd4/4vpqQL+excmn02x9gtAdExBxafZwwZNYJeIjF3KU1Ui8+z4fv32QpBDly0LIZapU6sZjQnExQc1myxRK3f/YMrUmbqNXirONi5xVyto83HpAUyxTiBPHMDNn1Np1agXrBQjiI8CYZnMinIgW4XojsxASxh5MySI1NCopIFDnkKjVCP8QIXay0TiVVJTW02Nps0vq7L9PI2ryiZllzO/zrYIi7UuSiH9O+WmY8mSBqEsVqnofvrjMZjyil07gnDdZJaBIRCgpxFCEmEYgKasHAMuBeq0dDFnkhSeg3G2gjj2Fisi7HfGrxHE4JmnKCd9Lg6PgQMwkZpvKUc3nmzJCNpRks1yGd1rElGc/0iHMaRpzGmq5QaQypfPlnGf6VT/Gdmx8SCjL4MH/tHI+ODhm+9wFmu4dUnaIwPc1nj0e00xpHrzzL3O/8IduBz13JJdzbwWgcc/Bzs8xUsuzO58mrEjuxwLhS5vLUNM5xE/PaFayjIZPjDjnL4fiZS8wGIcZOi8rBMXujFmK9gqZkMdweIiJqJOBen8d8sM96bZ7tox4zaROxksGa2GTPX6S5tcXUmQpN3+LkZIvlz36O6Vu3ibpDFF8hMiRcCS6rBh3LZt1rIX53n5yS5qpSQk2V0Y0Kvf27aOkMQbNFJ4yRxRIiAWHike05fOIDh85Ly+z3JgS1Okc/+ENm5xeRpYTVr3we1/Xxhy694QB34qEJA3L5Gmc+/yz3f+dVUpUim7//JkYlT/2J+k8aGz9WfWxg+ttVgxcOx3g5CUNW6Esug0/USFezvPn9W4jRiKVqiYXFKabWO1htm62oRTsjkZM1qkqGWaOOKKS5Ob7LjpQgjZoYZ+dYvHiB5t4RxWEPcTBijM+U6VB5b5O1UhYjX8BRy8iuSNFxGQo6SilNDwXr0T6pcpGpep3SzU3GhQKj0Ta12TkmYxFbzaOFPSwxJokEcpJCEieoJw3uf+sbVC6foTZVJ6UqzKw/xL5wmVStRn8yINg6IV3LoyUCzM7gvXUHdfcIvzemO1OhOLIwqmn6xEwqFUJN5kDLMCND7tyzDCd3IbE4q5TRDkfsuTZ9Qyc1iREmA8hl0MtlqorOaKqE0G3SOjNL7u4muykZ/3ye2/IUmrZCUOpQX1J5Z2fAsW/xb8Ief+eZ8yyuTtM82QVRAD1i+dIMm90u1XqJgZRmXtJRAwk4XdcyFgUmYYgoQ1qJEVQBbbHIrf0+ZxKFOUHADwLed7f5aP2Yi1MrXDh7mZ/nHA8MB0GXEf2Ih/0eh1kJIauhH3SxdZWW2WfR8hFciztPrzAsZWCuTLGeZ862WXzlk2i5HA9+8/dJjCxBOkvayNMN76OmdJzDY+wrF7EzIucHIdLUHL49piUmzJbqiLksiwtF/LffoXt+DWPtPItxwPhgn+zmDpdmljh+4ybbcznyT1xlfuOAoeughBaekWP84ue4Mnee4fYjxruHpHJZWscHpPIhh7FEdaHIu9t9ulu71JQITJegkGfzwS0qU2nMlQzx7SFOIcej2zep5IqocwvEiUBe0RECB3eugjtVplswKN/eRkgimpiMBybXU1Oszp1n2B5x6clLFEpVzK/vUHBc/ILEWDB5xs2w//4mxzWZnT/8KnpWInftWXp76wwP9kipMqFn07h/E3cwJndulmi4y8InFjBb19j5zvvEUcjD33yVd//Pr/2ksfFj1ccGpk+fvYR/3IOdMc5TDka5ws7DFt/73h1anR6u61Lod/h8VuTacob00RBruczwM89QO2zx4odNYhI+9A/J5HXyisz6yEJVAsTuFokqnzY1ayrCzi6J71D48itoY5cnchk+7PYYPWggFitU9sco5/IkD/aR1pawJZHw4Rb6JKAxXWJ1pPLo9k0GpEiOD5EEiBAQSTC0FFJ0+vzpUGP71TcRVhYZrK2grS6h3rtPciFGXpyhdkZEG41QIzCHPazmMVesED+dhjgizBhEc1M4jS4sltHyp6skxXubND7ymMl4pAcyRs8jWZxlYeIw7LcIJIXl6ixdLWYkJ4y6LZirkh5PGLouVlomNZWhlxI5sVz8X/mXVM9cwMpN8Q3fIgY6Yci94z7VlRq6nsF1LPbv7GJ1RoSEKGmVVJRGDBQcAUBEEE8XYssoUM1KJFHA1HSBQslgfbfDF2dniXabOH6AFMdohAwnXeh2uT/yOQgt7EShG1qkhJCSoDEcjKgWigTNAZI1xsgVMM5eJlpbwtnaQtKzSLs7+JbFTuuYmeeeR9JVBCFBS2fx+j1KM1VKcUImCDkZWJRdHTHpcu6XfpGjr4nMHB9y8Us/S3Q+D7bNdqmMMTWP4DjIqswzB332GwfclQTqy2ep37zF5MXr5MtzmLff5XCySfXK06QNjb2FafrtXWZPYuSjBi/GKveGEl/9vU20jEqr52LkMlyVPFa8iJOJTcMPSdwEI9BArTL9wTonuRTh8gpzF59i0u3j99tI5ohRpsBRvYB/fxuzeUJ3us5MLmJl7BO5Ev8ilWX2534Bt5LmeG+Hb3ZvsWqHXPDW0FI6aSnNgihwWU9TXUuTuzyHFkYEcxcZbG0jmoeotVUkVUevqUSpGpIYEo+PWP3CE/S2ThhsHWKedH+SuPiJ6GMD07E1YuXpJ8l9+JDD91s4xTQ3bu1z4IQkmkrkuvTGFt/64BGXVi+S/pmfZ/NilVymyl2zx4H7iBdSNYbFEdtLWcbtAF3PEQ0GlMIcgQLNfBZ9NMYsDHHMmDdCk1dlh5/e7pBtddAdj+NCgYxRQNpsE1am8NIqKRTS1RmOyhHd0CVtOmR9F3U2SzA/jS8LzA99PFnBzmUQwgQxm8Z/6mlmewMeHB0x47iM44D6u3fpra2gZQySVpvs5j4jG0bHOzAwmbR79AIf3ajgDga09mSKoofn23RcHbfXo+YonBUS0q2YrANtYsKtA/w45vMLl+n7JndFH+f6k8w+OKK+UGdbiMkHMQVzgFVViDLTHFsWjWaT1dl5hH4biSJWnJAIAogCh7bLxLIwNI3WUYeDu3vkchmqpQp5IcO8UsAXBPxYgUSCBKQ44pM5kem5HA9vNen1HKZKGdSMTn8qw5pVw7QtUrKMKquc0/OIjsfO8IBIShgOJiT1Ms6gj5zLYDoOmhxyMZvnUJXwYoHdpRmkpUXU4QBnNGHn5Ai31aT49HVG2zvklpeRgoDumz9AEmKqczOUigW0D+9yeWDTsUyc+QW8jXWezJRYXM7Te/CQ2+MsDS2Nce0FasMB6bsP0bJ5pHqdtbXztCZdYiFhdXERJ1cnEF3O92MKpBjN17nbbbN4d4vVYMKF7DTt8TaeJvIWASPLJ7YCJFninNVlpVbhKJ9CqKvMOVVCxybeHBFHUMsXiHwHsTeg3zjBU2TihRqfHbscVrLkFmbwX30HRZaQowTRlhleTlE6Ulg5u0RkdrG/8bskb7xDQ05x4vvUnGnmpSofGBOCdo/nD/YZL9fxnqgy2NzGnp0hyIiIUUCuViVbKuJ3hjz6wfuUL64gTRL0nM+5n77Czf9hG9cSf9LI+LHrYwPT+ts3GJydZzsN2cOAaGNMrpAibaYZdRyEXAYljlmbr6IpGuaTF3GqBkkQo5anUC6exVRyJJ0ES09DeIzqW7jVAh/WS8xZLkYMcTZN/sIFCnFI9uqT7GzvsT455lITXMdHHY7xl/PUhyZbs3O079zkWV+hO7/Ag8BifOkiykyNhVIFo5hjp3GMP+jQ//77ZLt9htsb6EC9PM1hMccHzQNmXniOLcukOB5xxozw9o7prS0imiZ6sUSyusJk9zbqaMRV20dZnqXV6mHmJZQFHXI1+lNLxHKa+cNDngqzCLYHDtiBx3sHG9QKRZ786Z9m46MPaYUWtUya3v4xk6tXaGoa6skevhgzPzcLE4+9wYh1XERFpu/ZXM6nqXsJsSCQJCAgUMto+K5DbmNAtt2nVq2CBIQJO0fHSIWIxXSdcRwgSipJAnIUcHYYI4yhsT3AChJyeYOXP30ey/HpFlKsxTEzMTSGJk7o03XGZHSdVjomCSBlTZBkmU4SoT1eSKYt21y//izR4QmjjV3ah4dM7x5gV0t0ZmuIukbuhWfpNbsYQoRYymEO+iSNBmcFldp2mxfnLmJ2P8K1Jwx3HqHIK+QunSVJG+x3jzlWDTKLZ5gRAsLtDdq1Ij1dYbkZUitpKEaF6NZ93FIOZWJhixLqzDyd0OPBm29SPW4gRzEz02chJVLJF3kgRbyx2yNOEpBEFvSQFzwX3x0jTeWxfZ3C8hrqyMQbdJgkLo4qkk1lCVMqEzlgUC1Qee8j/nhpHl1NM1QS8mJMxvOwFY1IFRmKNvVMnRNLx3FMnnV9pmIVNxLor86z3t9npyShBCpXXR0rdDHXT/jBmQPu1hQE2aNWnmESi0y+/Sbu3DxDTca8fQeBiPPXLnJ4dEy6muXyL73E7V97D/8nDY0fsz42MH04WyboWTw1HIFrMX4v4rmvPEexesQHH0YMJg5CHNN1Y/x0Qua1t1moFZlUyqjvfERUSLHpT5BGYwJZJK+qJBsb9HybhcVZKk9cx+/08FWBzIVzWKMxkRCz2Okz8QKs/pDLscKHkw6ZcRZX1YkMiRcPe5STHEe5AU/ubbM5N0fz/BoftTtc/cynSB83UL/+dYLDQ/JOTEnS8QFleop73hBPCfCkiOGgz2GrT+bJNaxGi+Efv8blqWXCqTpqWiKYjJhumZQTBS9rkC1qRFcuUNxqUrkXMr53n/AT51goLTB1e58TTSQRoDEekBegJKrQ6CBFEjPpKXzfRC4v8l4S0nzr+zzjh2T1FDujLoWBR+vn/jqj3/s9yiuziMcdMqQw0xFR/MNtuwRUUcZXJfpn8iwGIbVLSxw5Nt43b3LRU/AbJ5xcEHhqrUZ3d8xYFAiSiCNBI75vsuODLUpsHlp8plSGuojp+2TWZjmwJxj/9iMk06LvOvi6hlUsog8TnvqpL9OQEzb2dkg2timqMpV0hnV/wkw2S66c5aw7wZkt4R918VSdTr1M+uZN8rk0k/4YsValtrbKSauNcX+L/MXLHPzip7j2s19k67/5b8jOTONfPsfJcoUbe+tMCjqrRp3Q7tLqTCi88gLP/tQvcnjjTfI9m6EYsWa6bE1PsSinkC0bKw5YlyXwfap317FDF0kUCdNDrFye8FyV4zjGaY5AgHpK4LJjYkQCk86QcqGKdnWNIIqQWx02RifkygaXlucw5Tks8xDBMNCmZ5mN76K+9iFvPblM7mwZbWEJ03pI6Jj4tQpaP6JxtM8TvsqH3+/wbrvLl+wJyuwca0mW3loaQVP4hU4BvxBhaCXSikLN9kk5Ivde/wHBhYtcvHOE985NWpVdMq+8yMWswe07D9g1VDQ9JtbTlK4+z8oXRR796p2fJDJ+7PrYwPQPTkK8AGrlPD8l5mhp8Gs3H5Eq1fmlL3yRvZND7t5/SGs04ft6n9Ld7/NylKY0NYXQaaBsRQTDgEMs9Geeo9/rkDZHZDMe8vIS7bPLROsPiTNFNsYDtIyBOpnwmUhla69JXlXIJAbPCwEflSuwcpbs2jw5MWTDsQjskNaxgDQyH99Ot0zoh1imhRQkKBMPRUmTNXQa9pjJqMvyT3+F3Ow8Sa6KEprc/+g2BwcNpqcWyJanGHb6dLe3SIY9BpsHnOvb7KQ0+tNlxPlpJod9Ln3mc7itMdfu3Gf7zgNcEY58m9XMAm+3GmRFkbPZAn4SMdhdx7q0itVuUH3gcqxsce/B+7hhQD6f4Ux9kZwk4M6kef+110jimNlSjdb9LXIr09yPXbwwAvm0mJSRFVJGmiDxsc7qRHKMcdJhKdbpqjHVAJSBw8nBgGA8IZIViGN+2zIJt4dEJCSiyGZ3zPi9HRbyBkVZoPhECr2QZzGbZdHTOZQ1HskeXmfAhatP8/CXf57uq9/BEJbwFZ1kc4sH/TbTeyJ7kocRVckIGv3YJ10yuN7vM4rhxJqg3H/A2Uf7HPQn1HSR4rmLGJ0R3bSMuZLDMj16X3qJpF7D6/SwhgOyah7dmiBaPbRPPI/99ltkJ0OObv6AvW99jfRgBOfPUa3PcumNm5xzPHaShHipTlMVWWxayFGEoipMpYuUJA27YLDx09f43X/6h4RxgiAJzMghM2FEJlfGMgeUEhm/Pkt/eEIoRPhuwOHxgHQ+QpEn5EmQsznCQhb3qUt0zAHpXIZUpsrxVJnUaJqSH3AUJUhmhO5brIwPWbgXYp8c4EYCvuUgphzWKzN88tYJGBnEq9fIPnsVqaRxIfI4evQW/eYA5/3fou8E6LZLejzB645IHXc4M1Ph4Vs3OfOZ56nPTDNyLKpPnucvzxInp/rYwHToCCCK/Ltxgn+tTDElcbzfobf/EF/yWBYNvqhWGD+1hvXhfTKyjJfR2f7lLxLLMZmdY2r/9HdIIh/3vbfIXLtOfP1ZjjfvUhLylL73Bt7CCuX1h3j6CD27gpPRGYQJrqqRfP7TtL7xFquFMs9sNfjBfIGSVsNOTZOdydO9+wH9MEDQFGq1GS6+d5f4X3+Nqf0jDltHJIKAF3qc12t03An9aMJo/RETNcOqF5Da3edMr8tu7HLHGrCszNLVVHrVZfKGiDE9Q6ProAcxupRGFRLqX/k08ud+mmhnEzEvU/q3v48o+QxXdL7+wTtkVQVdFenqOlUtg1DPUYwUVg58WrN17komtmWxPL/A1WyWSVpDmauSE9Ok+kcUC1mGd9bRfA/N9pnYkx/ZcRIGlovc9dl80EFwI4rTCvPDgF4ckFU05gop3hIUbjWHmEIMUQSShAeASJJEIEIQRhybFq2Jzc8/tUSqaGAPbI7jADl06akJdhKS9+HO8T4nf/d/TXzhLMbnXyK7ME/GDyn4Pk49TTbwSBoH5OUquiZhtbpIKQMlZ1B//y4F2yN15ixnd49QTJO+5+KVcohv3GD/nfcQ0jrqcEx0doW7zRMuPPc0l965w6ZvEVTzbP3R18kWa8jfeZftr3+LfCqPkclxuLXL+tYe4sDDX1wmL8Lkgw9RFRnlEy/C9acYxCO0gx7phg1iwO+8dpedgyEIIhkVzsYBmqxwFDu8tLBG4+w0vZKEfucE0Rc4U6hgNZpInUN8TSKcnSPYOyIRIZyukq1UsL0Acnli1wYiBoYEJ22sap67hZD78ZCrzQFrcUI+nWFULbDZOaLyb2/RmV3kPUPnud4C6nYLbVditnfE3IffRX2wjz+ZkBcVyuhEVsDvfu99Dr2Q+blFznz2Gtvfv0GcrWK3+rz9X/7jnxwsfkL6X4SpIAj/CvgK0E6S5PJjWwn4TWCJ0+2c/3qSJIPHr/2XwN8DIuB/lyTJHz+2Pw38KpAC/gj4L5Ik+XPvs5UkAsQJHSvgNz7qcGU+R7MbsJQqcr3fwph0cadn2RjqPD93lmLosSCVGf73v8bmbAp15SJ1MUXPGxMkDVI3X8e/eo3F+jJ+rsykbaFJGvFTC1ytSfSlZQ6+9xqD2gJZVaUXekSff57oG99HkSVSBwXKhOjffcj3nlikON7johWzE/tc/ub3Wby1ieg4jMIIG3C0FBPf4/6gyxNakY2xyfGDTboTH+38Cj/X8/lo+4CWIeF3+wyKBtN/9ZepGyXc298hpyhc3jqm8IUvMPr7f4voB98jLku0uhts/+AmmUKVxVeeIV0qs7P+PnNTYyJdI2fapFWJQSaNe3RA5dYxB7NT3Ly4xMmrf4ReLLJWn+GiKNITZZrLq/QervPZ2RUOamXGx220IObnnQK/KvdPN0YTQERkSk3R2R3zbsMklY75wtQUmaCIdjjB0zP8thbxDdfCFgWSx1v+Ckl8CmRZhCA63dtaElAkiYvVHPWygZgklLfHzHc9zCjghASNDFrk4va7nE8bjNJ5nIvnkW49JJRETqZrXLlyFe/mG0i2w3AuzZyWYbm0zEZRZefSWWp316m8cJ6wmGf/934Ht9fAGMYU1j2yaKwisKqqiILA7VQOc7ZGyrdwBQ/ZdBjKEmcuXyZne6TfvU03dOinZFLVGa6c9Fj0I8T5aRqDBr3BEaWpWSrXn8J0fRqPNhHPLuJ/8hNsuQm3Pnyb7bc2SOIYRKgUMlxOFIpKliCrolcrpM+ukvQGeLOzSLdv4TkOK35MFpW+orAfuaiTLmpLwSnOUSjmMT95jXK+QpDKUHviSVL2hN7mNmPLpzS0Cc0JoyRBrE2xtTSLunfMl+0id/wWB90T5uor3Nu9y+U4ISmWyO9t8YKV5g9TOs5oQKLJ3IwFurHAm70BDiK9pknx7h6lSxc4/P4bFM+f+fOG9V8o/Xky018F/inwb37E9o+BV5Mk+a8FQfjHj5//I0EQLgJ/E7gEzADfFQThbJIkEfD/BP4B8C6nMP0S8M0/9ztNYkAgQWDgRLyxMwApRvR9YtVgonh8gxTbbYfVYMBgb5vb6RQr9QV+3ioQv7mOREQllrEkgbAY0H94m2yhyoiIlGejiwWUrRGecgZ3/S3O77ZwUkUO44CKZDDpntBNS+T7I55qxGQ329ySNNxIIczNEX7lMmMtwXu4zro7YlcNEJUYJdFRYxHfsxkGFq5e4KnFc9iCT2t+AUVL85riMLn2PMvnltn71rcIRIHh698mdfUi8f1NMppO5ekn6P2Nn6U36JK7s89f+foDNmo3uHyrz/vPVumpCUeOS7C0wvjhMcQeDh62qHF+v4EfK7y3XGRjJkNr3Gdp8QxLWYPzlo0up1ErJR5tb5I+t4QZzJJKQl5iyMlUjdDVeGvY54c0jRJ4vzWm5SbYUcS1rIKfgTslmUk5z9vjEYd2SCTJIImn/nvcBfDYoSCAIAnkVJmLKZEn6hrZkz7Rh4cIRxOmskUC38dzTJSUzCMjxlupMIkl9LWzmN96k9Tr3ycrJ8zudti2+gSrC5TzKWpait2pPOsz07i1GumtI2J8dr7/KkcLM/j1OS4ctCnOL1La2iXjeuSLJcZJQqgrTO82WXMmDK5dwJkqEsoyUgwcHDJYXKBQylDaGzLrhMz5A/KqRqBE3Jj0SKp5zoU6TrlE27PQM2lWvvhFGsUCh1HEg2+9xeb9AzKzNSolk/Fxn+UL86w2PURVYtjuc3x+njsP1zHHY8RYppIzyMQxak6mlRVxHYvpgcn+3NRpv2pzj+FT55memyJUMySf+3la7T2qjSPGJ8ckuRyDSoVIV+ibNumFeVRVpjYzzY1Xb2HFIV3XJB5P0Kqz3BsfUTvZIxvBvbJMULtMyjnDRtrgtffWaW3tEkcxmZkKqXqdRJIZr2/QffCIJAr/3GH9F0n/izBNkuQNQRCW/ifmnwVeefz4XwPfB/7RY/tvJEniAbuCIGwBzwqCsAfkkiR5B0AQhH8D/Bz/UTBN+GEAJiIgCAjIDAKBtzN5rhQybHRCfEnksFLgTEtjOZPBbB7yzqBFOp1nrlJFKhZZ6U7wWxZJ0CaR+6xmKji1Ks7BPt1Clvj2I6adkOV0BS9O43Y2Oeo0KCYRK8UCymjM3nSaxY0BnS9/isnJFpUJ7GYzZFbmcO8fIl47i9xvIzWbxM+/TNjr8sSNuxxFLrcmDYRHLWrFKkrfYsPQ2d3bJXs+j7C3zkoqTe3pa+zcvU2yech0c8BoeZavrcxTbjYpyzKTn/ksv/KNbzP48CHP7h8iqDPUlnJsftSEJ86wkZV5xZYpSBLLaoWxfsx7UxkmKytYQsBKdYqrlk8pn2HqwOLgyRnejYY0RZFMb4yTzvKkoPPU9AxXvIT/2/EG9yaDx/Olp654aA4hEqgLcHnTRdtr0K9P8/rEpElMIkuPpwUSQEAQRRDg1ImnHQGqLHFl1uCzpsD8dxsMQ5uKmkYpFngYhjhhgJrASTCA6Ty6pqFnppDXH7L07k1iPcZN6UhGmlTPIqgk9GbyjFYWse0JtiATfP8tLt3cQRAiKvUq9VuPgABRlrE7DULfRdVTiAJ4mooSC8gxrJkhP7ACBoJIOp9F6Y5IPnrI1CAkLOTJyR0UQWC/qJHUKqRch2qcENgRfdHDyud5pJeYmAHD9Ufo5Wlc22H9xi2coYnVn5CbLbL4zHkqxNj5NDu9LncUH6fXI2w2WF69yLjXwVVSSK7NrjkiSucpCiKpqbMMCkVCUcSOPfrtAcPogEho4Ccq4dFDMp9/mdznXsa9fZ+jm++SWlmgMrLxDYPtnQPyRo6J5JEXYjxJ49ub7/EL6WnytVn+WX6Hyv0txr0OPVXlvctPYJsB2cuXiIwMw+0dnqAuJwAAndRJREFUsnPzOJ0O1qTNybvvQQL9h1t/7rD+i6T/1DnTepIkDYAkSRqCINQe22c5zTx/qKPHtuDx4/+p/c+UIAj/gNMs9ketp0AVQRBO94ECiSgWeL3r864i4EQCQhzxkSkxlc3hthtIskw+8qnH0A4G6KkMomMxjFyu5GZZm17mNw/vcDIZUJutYxYMIuDGoMe5VJ5aLU1rnOA+vMn4ieukRZWSkqH87i7vr85wKCVk5xfRrQluGKA7NoO0RrqgkUoJWDOztLZ3ESWFT2oFpgyZN483SEgInQmZe+ssfP7vc7LxCD+wCHpjpGyKcrdD7eJ5fE9DvLhGKMToCxc4+/yLTBspHHPIXlnjyaeeZ/reI3r3P2C+PeAor2O1esw+8yJOLsfC194k60mkF6d4sdlicNDE+cpnKTy8yxVFYVSoMJr2+V5VZeAazBdX8E5OyBghL5TKPPHQ5lthk+8dbRMlCSQJQnI6OieOSaKEjCDwYpLBMDL8QNIZxRGJKJz6SDjNRP/EZXFyajvtr0JBQEogzBmM3AYVQUR1PE7iHv5claol0JITRFGkOggZPnuOZH4W5ztfRxVjYjmFFIeEiYd+5TLl0jyvOmPKukY4GOLeucnLtw9JV3IcriyQVCvkVYEL15/k6NZdtMMWYm9MIZ0hMNLUZB1nMoFcht2f+zRypYBUzFJ77xHToYofpnivkKesS2T7Y8aKhJDSqRYz2B0bL1JwiahmC3x/54DdIxvfcnB6HQThAG84xB2NSBJQdJmcqvOZm1vkp0p8f6qIXc8QP/spzJ1DnCRG/+AGaUEg+sSzMB6Sl2xyWo1QTdh9+hLBxgajKKRw9iLPTQK2u13MXB49K2MbWR785u/BE5eZWpxHb80zrVeYu/8RO/US/nBAfuDTbzXoJgnixKMgyPzWza8SFQsM+22Grs+sajBVKHLy2puM0dGLWULHofrEFSRVJ3YGdO/dJwmjx76N/9Oo8jHX/7cLUMKfYUv+A/Y/U0mS/ArwKwCCIJwe98MMJ/nhCcXTBzHEgB08Pl0ccjyOeN2Y4q9cqJBLHMytfTbqBrlMifxeg7NyFknJMDWzROXJq/yCIvPfRg2s+RW0SQd1eZHphRITVOZccJ59iqeLGtXX7qONXZqBw3frBh9WFT6/usaluWne+R/+GcNKiSsHbYRHjwguzKAHWSaxxXwAR3JCIknUXBlJgHbkExKQH48Qd44oLSygKzJyYY5O4JN55xba51+kX65w5Kho4zHSoMXujXe58/ABcuMAYWuf/sIT9NU6tXyJ/W5EIZfFnp1m4cIVVg9O8EWX19ubuLUzzCzMstLr4b7zLs8dndB89mluxxFbMzqDZgvDCUlPn+Hy0hq/5BWoH0bcKrn86vo2Thj+qdeSxy4VgCRmrKgcTheJei0Ohzk8HgPzMUh/mI0KcXLq9MdQJgE7iHiwN2alLvNsIUdvNGIc+ehuQn9nH2mqipgtMHEnJKrOxB0SmSG5ZxbxNj4gCn0IAoSlBZSpOW5Nz7LwxBcYvvotnJRG7uZdurkanXGbelQm20tojvvsTRpI+SLSOEBNDjgZj9AEiXRaAyPLkaGw12+hKwrVVkj1YMT6dI4cEUtjm2Rvn2PfRQ0UUqUiXVUhafcIcgXyUYJ/dZl4s83RW+8RBcHp0FcQSCL/9EsrChSEmF8+PGY2DAkaA4rlCg+n6mSLdYKqhaCcQxcVLCKuqlmsRMIJIw62t5jUiuimSa5YwbNtgtBnOZIobZ6wtypgPHmJdibLbuOYcOTQ+KPvsLJ6FrHXxQsiTswBKV1HSpVRUhquaRNrCiNRRE4iok6Lc3qakX96k4Y2GvJKHPMHkcOg30MUQMlkqD95jta7d/BG4x8G738otP9C6z8Vpi1BEKYfZ6XTQPux/QiY/5Hj5oCTx/a5P8P+55cApwUMSOKYxJ2A74JsIKiZPzkoERKIRTbGsGsLPL88y3P5HqKYYt+NGJbzNA9bXAg08qbH+t071FD5FBLrVpdJ4wSjLmJ0jqiZIcOlRSTT5uGBhTU4ouRq1HWDsJ6mGEcUOl0aJAyRyY5TFDUPshqDuSLjlk9xt0W7cYyexLzpOASOS5LWqfgJRTdkQU24+94H1J+/SkWSEPcbVDMao+U5ksgBPcZzfFJ6ip0bryHfeI04gEv5LKoA6Tvv0H/5OitRzKfdCuPZNTZ+6iWkk0OEb75GrjMkg0Tf95DlhKnIodZrMrpyld3tbe65Y4z5BXJuRCadojTq8w+SeWZ2TQ4Nj284e3yveUicnAaV8KOB8hiSph9wbzzhbLbA5nhC/Cevnfrs34+tH0L48auCgAW0lJCt1TTlDZfFUMIJIuZEnVuKiEiCXVGJBhFay8Hc38FVNIRsGtmeYGSydJ+6TuPcGulUCufbf0w2nyHz4BZLxwNyIxdrtYAZx7gSlM6sEJgCriHTDC2e1nX0KGJRTIGiIUoiydw8iWIg3L9H5bDPaK5GOGgRZysooxGhKLCWLYIfMzFthJ6JsrCI2ewiGSpi84iUN8FIS4wHPkmSQBw9XpIRZBLOeWOIoSkoEHsE58+SuXSWqW6f7PoeZpIwGA+pZNMcLxs4rQ7JoE8mTiiJIuaDDSa1OrnuCGXepa8YPD2RaE5V6E8mdDceYsoixXYbu9mgX6swdFzcUhqtlGGwd8TRdI5zmRytiYXveeiazlD0mZI0rNCh744RfAlNlJiTVV4UfN7Rs9i2j3l4TKasMtza/lOHkkDi/keF9l8U/afC9A+Avw38149//v6P2P+dIAj/PacFqDXgRpIkkSAIpiAIzwPvAX8L+Cf/MX9Q+NEYjhMSbwKSCqJKEkWPg1d8PKd6erDvJ3x0MOTJxQWylk3kWhCHpJ97kkPTwzT7eJ0xGXSETz5J6fYdAj2ho/mMiy7FCaTzOkbaQOj7+I5DJlYh8BlFNplGl5zdJzdzgZOZacz+gD3bOm2oL1bxj49RpYhq2cAeWwS+x0KuwL4Wk4tc0rrOei2Nd/8+CzMVBo6DSEJfydEIUuitEbVLeeJExLJdinML+D2T+TNz2GGAWFmg+vXvk/61PyD6zGcYtA5pfrONqsvwzg3UVhvbCSBTJNuyKaRVUvk5HszUOBhZ2LUqOb1GsdsnmJumisp1Mrxz810u1ee5H0+w/AFSEj2OldPxffI48fxhlupGCb/VHyAKEIvi6RA/OYXmn/hN/BE//nCaQDg11/Ma5WqWZikFLyzA4ZjMNx6RhAFxY4JcKqMVC/h1j5QwpjgKiW2T2IuJRYXRhYv4588hzc9hb23hGCo5KcXMzQMyYUTs+Yj7A4ozCfghwWKVRrtL+ahPVhE5VmNmPYGHVo+O2aSYy5Gmzow5Yr5/yCCjE/QCFDnFzvExUfsIXZZoeh79GKbcNKLnESsx0wl4TsxoMCEpqiyulrj7wdHjjO20CKcIAsvRmGsoxMTYSUAsK4j9Pr7nEz35FLUQquUyiWly9vIZ9gQJPImT3/sqggSeY1NKZXELBURZIi8pjEOHKJsin8mz2x1iex7ZRCRqnLC6uoaWqIw37lGcmyKsz5KZ7nBgjVhKG8SijARYSUhWkDhTq0Gnx+riCmFaZ3vvgKZjcymVYpCXueklBK5P8+bD0/j7kyvknzUI/cuhP09r1K9zWmyqCIJwBPxfOIXobwmC8PeAA+CvASRJcl8QhN8CHgAh8L99XMkH+M/509aob/IfU3z603fDqcNESFcQBJUkik+v9n8yvBAgPs14hAQmdsC/achcrlf5+XRAPBrT7Q8YJiM6tQJCYQn5zQeI79ymWS8xJXtMnIDoQGCnWqDYbNETEkrTMXq3wOFmj7UnL2LrMl9uiVz8d2/xm9u7iLOzlPwcfqpASI/MzQdkRy6W4CKVFYqNAE832H7qPLObB5QraTqOzd76JnqUkOzv0c+o5EIZMQA3pZNbO8vR6+9w+Nq7zD//HLooM9OziNZfI7e0QK/R4kj2uZLTOaprHH9ukXTHJP/7v0dhbOH5EiATSgJqEnMYWvg7Ew4NnfDogOlqlXNr59DTCqEt8IJaYaJKPPrbv8hr7SNy33mLcuAyT8xGctpJQQxCHJ9etOLk8Rzo6ecdwWNo/uhQ73Em+sPC0+kXBQHQRIG0JPD0mRLFuSyhqtCRFMzLRS54a+zdO0IZ+YhrKwRxizBOwLaIRAUzGCPrEoJgIJRLdN/7gKh5BKKAPjuLetRDiUPUJAZVQ52ZQWp08Ben6BkFxlmX4nIGrTcmW5vBerRLpTfi4tQ8J7LERFQxuiN2g9ON8UoXLmMcH4AoE6YltIlNLZfHUzS6UYCcreMJEofWCQU3pNCQ6HctyKQhjv9kHlEQRebjCc9EAbooEMsygiygxCJm4JEamDg3b1Peb+DvHdNtHbPnenRVDUVK0CQJR5PIRgLh9BSapCHiYDkuZqPDry1kKR8fIEwGpG89QFlcRR+5WHtHTFWmqC+fIxVYmIUqM6srKGFCz78H/Qyi42AIArVCnq4hEIghiSFilxSCXgrfHDB2oF4KkRSIotN4S/4EoCL8JR3iw5+vmv9L/zMvffZ/5vj/Cviv/gz7B8Dl/6h39++dgB9JhwQEQeHfGy/+SKBCjJD86UILw0nEW+aQ+yn47HSWny8UaDQ8BrbA+OgQMZ+BTpOMZ9H49POUTZfCcp5DDArHYwRnRJSqMZlZ4uqhz6O6xBstl5VChWctFbdt0RV7+IMeZrvB9Ll5lKKIHvqUh0AYYycC+3N11i5dQLU93rz7IYasokQxbhThHTTJf+55kqefIR3IpAYDJs0jdr71XYZbBwTjCYsvP4speMiJQEaQcAo5/HNLVD/aQv/j14k+80m8v/PX+MH//b/jBVfhjyM4k415NvLxSkUkSaAcCXTmaix/+iX6foyyeUQfkQcnuzz8zEUyn3yJ1Mkxnp+jZofM+iELqRTblnv6SccJSRifVuajx3PYovDYDY8nsMXTC9mP8vNPR4ExchyTVWSmUypT5TS9SUDadKmWFJK0hBtE3L+aZ+p4iGUO6Yw7xOqpa0M3IpAcwpRMzoywrqwyWV1kdr/NVqvD1OYe3WKG6Ox5UjGYtQLd8ytMFeqkNQU1clAevIlSXaAVSQSei7O0SlwtMl7f40o2jaTkWf3f/2/Yfe01psOE+Vc+wXg4Zvvf/Spx7OMGPoWFechl0U5a1MUUUiRgKgrazCJWt0NoTXj54gyvN8PHIE2QYp+a3eUZWSEtnl58ZMD1fAo5nWIUkhBjPNwguvuQESFit4d5fML4yUsUCkWyVy8jHB0wb9Q4lBLUvEpSnEMxJ5SeeZpJOYcXS/zMv/safRu+O+mTPTPD6r0N4oV5xM99mt7rryHHNuefukjjq9+iMVXnzGiMt7NPFIX0zAmFvMGxEJHqDog6fRrdHs/l6jxwx2SGI3KaQUlXaU0CfCkFsf14npzTDvO/hPrY3AHFD/v7hR95nER/mpGGAYgiiPJpwAuPK4qPAZwA/UnI726NeVjw+Xv5HPXhkFEwZjK7ihD65GfStPa3mEQaQThGn8lxPFchFRoImRLp9h7RdJH3xQTbT5gYAUEmi+WPCSdQVUBNpYmXisxvj0g9GGGXZJxcmbBlIyoqxiufIOVMeHlnm4Oxg2fkaVoj3KGJ0fc5ckPsQRvn+IDL5SUyV17ksDTHlZ/+BYKZHJNek8xrb3O8t0e2XsHaP+HgwgXOrj9E29thz91B/MQid371HQpRiNj2eFuK6AYKNTvi2doMyvIsd6Z7tKI0c5UnmAw7jHtZxDOLeK6HNOwh7+9iSjEpP2bKyBDb3p8Gi/C4gBT/0A/8aeYlC6erSv3IaE8QBIQfFp3iEBApxVBKIKfpfOv9dTY3VH7uixeQxIjQddEaJp3jNpGRQpR9BE1BNUVMyUdIl0lZJtaZaY6X5ym7Fvtmk/QkIlpbwJ+fpRfElDUJVwzwByMGzT7DlEyxKuKVpkmTYaqaR3n/JnFOJrfRZqo6T+rzX2K+VmN2eYb5hb9Jezzh/r/9dYb7h8S2Qy6IiSMBTxUYHh7Q7kecSDJVP8YQAlYqVT4R59ivpnlNKLPVOIIEZFnmkj/kBSNDHMcEUUgMBHGILiskQYQgSdhuTO2DewwGXaLZKYQvfg4rk0I9atMKAuIv/hUU2+TBv/7XjO/4qMuzSLLBmWwRwZBxTzpM2i3eeuECz7wVsDwY0ywXGc9NcSaTYbC3Sf7zn2ZvfY+M20csVmjrOuVFi/O9CcGgz8ALMA87KF6MmzjkBJH5bB5PkPjS7Hlu9A8pXJiitFjh/e/f521Hxg1/mJX+/4f5Hw/9MDtNksfBGyEkj0siUQCcgpQoBFkB6fG/lzx2sCgSJwn3Bw7/rRPwD2cqzOoBw2CMpkmUxBzRfBXn+IgTH8TNDWQ1jS+56M88gzGO6AfbPBr4rMlZPiXl+ECyyE4szqXz2FaPzkkT836K9eMhZ7aH2A8DhhWLnClzpdMn+T/8X9ksSMzM1Ok7B6QVHTV0afk2zskG6V/foIJA/ctfYOmlzzMzVeNKNoNkTzh4dJ/DO/ew+n3kjE7aDLjcGhEPNrFnSrh2k8Ovf5NZrYz31CUSd8QwX6Ib2Zy/eJW5jUPsrR36Kui//x6r1SX2r1fRRZ8zz71At93m3q/+v5l+5gku5A16V+Z56p1tilJIWhSZ8CPp5o+O5n70RrbkMTyF075SQRQpIHA+lSZTUjHdEG9gcn5kUZWhm7icracInAi7ZUEo0TseURsHPEWKNiJDQUVPsthLddLbdzgxcvglgcHcNI1BB0GBQjGPurvJ0YvXiOMYd/eQxUTDmrhYqQmhkgLHh7aAY/UQBwHdxUWuBQpx3yRst2hnSvDNP+L6/+m/wPIDRr0+dipNbFuIb/2A7tQUHw4jsqrIcG/EOJRZP+wiSjFREAEilbHNfD5FTSvwwY6J2RkAAsUk4GISIcWgKyqCIiMhICLiRSEyItZoQilt0PrUs5STEHfvmK5rIUhQdgKKN2/jyTp9WaYwnrA08mCvSdud0D13BmFpinwxj2mbtM0BLVUgKpTpr9aofPJpJtU5dm494vgPvsv6177O1WqR+IWXqXx4A+3omH4CK0aeajGLnzbY2d9D0SVq8zUWn32CuUMXszukFpi4By3CVMLfLJaxgx7veu5p3P0l1scHpn9SAAEQUKWIMBKIH98ZRRyQ2D0Sq4OQriDkZv+0heeHJxCEH04S0HQC/vnxgL9d0xGzIoma56EiErVSzM2nyGy6tFdzpN0yduCTSDL9JCbIZImCiBcLOe5XNW6MxnTMPtpoQLFzzOxqDaFUIn9/F1tSCH/qZ3Ab7yJ9tM3YmlByUmQ7Au8rPsUwoe8N0SUFJQzITTy8lI5er7D74U3cSg25qaPWF+g2GwTrm6TTeebTGVKRT2poUxMCorGDMGpy72qJ3aMGOAMMI8OZ4gxBVqS706LPNqE8YqzrZIQJWTekXqpjTHzmCnM87A6Ij9vMXH+Wuq7SWsyT0yR2bYkzJPzd+ojf3lmnFXjESXKaaUri4wr1j7ZKnfpHEAXUIKAaC5y1XJavFPCraY7u7PEL+SJL+w6dZpf9+7uUIo9qrUzsurR2ffqmi2NLTLSEie1irDdwzmURPZ+yNk3XTwguP0HhiTM47THqxgHi/iF7awtk52dx7j3kwvu36MY2riETuy6ZEETPIz1joIYxtWEDr2QxqUmoj9YpCTLi4TE2CY/+xa/RDkxcKab8pZ9FmlrEfulT7Cc6e5s7nNx7wOkNtRHVmsTsTA62jonKObZOXD4au3A0Inw8VSoTs+h0KEgKsSQSiyKxkCAmECgiuXyRmelp5N0Wm8b7eF98BT+RSV9/DmVnG39nH6F1wkCK8L73bcZxSCmR6KVkUoUi6rMvo4cSvfYYswDZ3oSxrvO1mQpRc0D33R328vscfbjJcHObJAgRBLgXx1x6/z3OjyZIgkBEwqY3wei65MYq00oKW05YsHUaH2wyNbXCOJNGXp7Bff8msh+yNV0mp55m3mEcQTj8MYPh/3f08YHpD1sWk5gEkThOiOMf9jKKoKTA6oKiI2SnQJBOfyGOT4f/f6LkdMJcEGk5IXcsg+cGIeaKjrowg3V3m46ok6tWKWgJw/4+mp0n++iA4qTH3rWrfEU1aN+5xwe7j5DSadKFEtKjB0wpCsXFAvJgglVPEdsprO4B/fwUGe2ENAIBCa4icC0qYGouw9BDDULCKMb0XCZnV5BtD6kkYz98yMLFSzQHjxh02lQkgYWZKtl794kbTZorK5w8cxV/2GegCAQplXi0SW9lmcXqIoOjQ+LNXYSVNUrvP2JSCQkKIuPIR7vyDOuGRPVrf8yG77HwqRfZ9x3qxXn8Qgp7r0HZqPLBeY/K/Br19oi/nwj8j3uP2A+802uTJEAinTZrJ386fy2QUJq4/OwkpixK5CKB4wc76MsXeWK1SPcHO5i2y9BzyABCFKM1+wxed7AWqmQqGYqBQC8WKHz5p7DfeBcxEdF391HsgAtGmodPFRlk0iSxxpwt0XrmSaq6gpTNI4Yxk9ChE1lMBxLZ2Tn8lE5r0EHZblG6mCItiXx5V2fD7JCVdN6J4PfbbQJBQPvWtzmfUokuLCJ96zusLJ9h7q/+TV5aWSD95nt887/7Z8wXTArjMaLZQ+lYvOQl7IQh2vkiN273CaP4T75n0+GEq4pKHEcogkJWlBiEPkoqTZKSiebLdFWV8KWnMYII7/UbtOoz+O+/Q3pmlpJlkSbhyPVZlXUazogNXeMbh8fUp+cohSqLa0tcliB66yaTkcl7G/fpESKlMvjmBHc4IvKDx1MtEQngTSbMWBNE38cOfURZRooj1EjgxHaYT2X5VKbK0I4ZdRu8atlMOQZb7YdoooTqJthWzGq2zFYos7P/l22dqH9fHxuYni5WJJ5WkBMIYxk4DWIhiR+3R4mI+TmQNQhckNXT1CDwTmF7eiZOqySnFej3fLi4vIw22ic/DFgaqDCZEKgiU1Nz9KMx9qhPZNvcnJ9m/tE9Us0Jzv/qr+K/+QMyzS7ycYN6v4u6Os1Jp894csJiYRFvqozx+husiwIFWUJURZzAo2hF+LpIVC2gFgwy+y3i3ojpUUK702PTd0iFGSQTwssXCc0h4niINHLRjDR79Sx7wzajnXXE/XXyl64yGljMP/88s1MpgsYR0oUFwmEHdXmO69NT9M/U2Rk8oi/C87NXkQoBK8n/h73/DpMsO887wd+5NrzNiEjvyruu9t1ogwZBAIQAkiAo+h1SS0kjcVZ295kdmdEzM9KsZoYyI8PZRzQiRVJLghAJGnjX3UB7U11dvroqvc8M76+/Z/+IyKxEExRBEqTYrXrryYqImxGR15z7nu985v0EYuQK/rZk74tfYe7xh1l86xrB8Xm8foiltQjvm8RGx05O4hrvYTQhWbt4FRkEg/lKVRBCQfrhgFAlFIXCR8wUZ5QQx7YwwpBsJ6D5m5eZDBSSUqGjqXjunRzUIJSkmy65Inz++i6PECGFTq/RYs+3KAY+9XsmkRfXWLj3GNdXrzJ7ap5SOkWxvkitvU3Zkzw4Os3uzBFGjCzNjIpSyBOZPk05Iui+VOOeUw+SqGxTmxas7lVAifDbjz/Ai5stNiqXcNpdwOamECjlOoZ+nemT68xuVcmePc5bL11gTDg86Fgk7i1y9q0knXKdhV4dY8cjmswgUQdTtqKAlMwmosiuTSgEGiGWGqIpJqmpLLKQ5n/83S8fjPO/+z/8feKvX8J66SXijzzAXkRD7vWY0uMk86O8PDdCdGmDjeUtvBC2L16mcv0G29PTXNVC9m4uYDkOYRgO3Sw1wmHqkp6I4XV77J/0MAwhHsW1bMLAJYzqlJQIlcAnMHRsQ6esGDxTuYmhCR49cppbFxcI/QBP+lhC49dvL+EBjvNfVyfSb4Z3DJkmDY8zsQArluPqjkUQ+BwyVyH0BiRqpga1i0ZsUL+vDaXe9ivc9n2uwwHV6Fq8utXgfcKh3vMRVpfIQgV/LofqLDK2ZxEGGtcqTWRfY26ji+p4pD/1RZwzR+iN5jmiKfQfPoaRTZLe3CaVgVVvh6KZITEzwvt3WnSKWbpOn4m+StRUGFET7PohW90+aj5HXkRoB13ius57upJO6NH1Q3pXFlCTOtKI0coHTG5tk19cxUpn8CJtspkC/ZVFYmOT7Fy9TlL4RIoh1sYbxKXFrtvFtbapbJZp7FTRokmee+arfGh6lIaewMonmTx2hqSjMHV7i2szCnkvZHR8DD90wFVoCgulkCNSi0I+jyJUgtBHSh9UFaEI0MQgGU6FDgG/LT2saJKHZUjgOMQUlZTQQUhsJJ6qktUj9HwXP1CwgaQPdHsoQUg6HsGxoVspM/L+pwiefwH3fI7+dBFtZpSRhmC03iTd2ePKSBz19jbN+SleuXSBmb7FaafFuqFQ7/sYk6NkcylOXriO7nmsJzVyex5XYy3SdYt6Lk9MZlDM20jFQgYBUkp8FzRcDEIuvfACzd/9HRSry/vvyXE2PcInV2us5k0e7kaZS+coZbIsBPqhooXBxL2txjkZ8zCtDkjoeR4ZI4I7NcL/8huf+4Zx/q//2f9x8PwH3nsfwdY6NauDJwXrwufLv/dl7i+MktajCNtjzOtwxkiwePsGq1LFd92DwKCUcrBqGKaq+f3+N5R6BmHIRq3OXMQkpam0YjrSFqiKQAFarsVuv0U+FieUHqsxScvu4wnwEdipBF6thuP1vp23+jsW7xgy/Vi8wbRpsnM8SceHpb3uMCAl9ysTEfGRO0v6/XJGKRHKwFI4CJSoCviD/A0pYaXW473TedRb64hmjWg6xopv0W+4fEe0yM0j89xs7XH2+UtksmPI0IdKm8mnX6L3vifInHsIe+UmerXMkbrN7pyJnomx122wdDRFqmRC1WKk5mK5Ht3JAmE3JOw5nFHi7OIR/vj3cP4Lz3B7KkdY2yK9ZePed5To2Dj+hVfQZ8Y5NTeO+sJVnOk5MmqItJP0t3f54NQpni+mCEyDneeexmylMc+6FPw02aRJNWHRudGkZFtEtICda1XqJ8+QKbdIzxxhK4xwXelxNtglWk+jx3ZhZhSRLmBmNIJqjbhuYus+lYtXCcNDuS+hHArPcBCX6gcDP+rveh0qyQRPZqaYj8dJLO4xmR3jq5UbqEFIVNU5HcmwaDVp+A4YGrM9yAtJ6LrII0fw56ZZTMZJPP4IK9kCW+vXUN68wOl77yWWSHNj+RJeYQp1ZIREJIqKSXEsxyOZCWYUl6sRg6rfQxaLBA/O4b9+E5FJUtypkeu6RKTL1O9+jmbPQXY9ECpCGaxaCAIgpLe9yt5ukxDBVMrENlR+tdHhrdtddN1mKaZxdjKHGE3zxptVpKINcnElIFRWex7PazoPRAzSXoBwfBwh+Om3Eenb8Vv/4de/4XUqmcENJEE8ToIeZ9SQ784UCOImwg1Z2q0N3FuKCtI/RJzDjJYg/IbAoSoEOU3jmqph6wb3JCK0rTZqRMdVIBYa5DWTFVMh25dUnr2M73sECljpHE+Xy3eJ9BDeMWT6PbP3IyZGuLZ5C9vzEUIMSvSEGNwARmxgme7XgSv7d/ihch0pEcowyXhfkEGCbjvsFOYolVsU0CmqCl108maKK5ksX/e7fOjWKsfNKG6nS740zm5tG0XxyD/3Ojvf9QTJtErb2eO28El0C7htCbljCOsq2z2HfFZgNST3uir1PgSouKjsvPcRMtUalbPzHH3pKmGjSW8iQTRZJJcwaGsqR5JZaiJELlfZ2a2Tz5vs7Vkk73uESC7PawmDVmMde9PnxA//IJWrN6juGUSOnsS3mjSuv0xGtrH6MD6TI+vXENeu0O/7pKNnaegqQTzJ6LEJ3qrV+dDZ+7Cmx3lrp0J2+jSpuXvIepK9jW3S8RhUasOrsh/dH85mymDyGmiYKNhInu23eSPq8le0CPdEQtbcOqbUMYVLP3TxHY8QyUQmTyGfZ9yGjzbLNLC5mYjSzWfRZqaw1Gn8N68wOXeUltOhsrODPj6OEjEYMUOSapf1pkR9+DR2z+KF2XncWJKl2TFyjU2SDz9BfPwEO85/YGZpFd9U8SoWu/k0E0Lw1MQcX5FLfL5lse1HBsei+PQdh4Xt2pAYFTaafbZetu5M4ARcb7ncrtqw1MZ2GVTmoaKqENVV4l6HveYeq6bCB+IZdtwm/3p37498D7Q7TQBeX7rBh46d5mPxDN2oypYMuFSvDohU+gMyDYdEelCuduj5kFBDBBc7fRrtMlKGLOQyfGc8QdxziESiJHWDpBFFNm0WVY+ir2HrCppi8usLN//oN/G7HO8YMu0/fC+7To/s6ztE9PRw64AkhRCDVCihDJb8ijp4Hu7f7G/PfhP7TliElGQ9l8zuEr608UxBN5rkV7Y3EKfuYTaT5j0X3iSmKFRjBpaU9PE4GUvi1susxmx6z75A67Fz5PIpvOUFpGlSFTrxxiKRqEru5Bibaz2KP/gI5Qu3SMgMe6rKzU6N0Okx2e7Q/uwz3HzyAQK/jnrlOp24gZvL0ry1RGhECHsdkhWPzj2z9FUHZ/4YsrpFq92mvtJEzeWYf8+j5Oemiao6+WyRWrOGuHqLnNPHaUiigcNWo8P02ASWHqDEI+zWG8yemmB8ZgqkSWzvRexnX2XtVoHe/SdRPRel1aTmuFjCI/vY/aRbbZqN5sBHun/TijvSfABSSASCUBG0HZfP1qrUj5Y4W4xTeKaJIaMojk4z8BjXUxxPjtLwA7oC7k+O0IhK6okU7vgM/bP3sHzhBUZ0hUpMQ586QWpilO7GBtG9GrtGjFZuDKbO4Vpdlr0+QrdIdzx231wFzSLyz/4VpuuRfeESzXaLSAjFkRHWhY8deGyUcmSdOt/pdnmhUWFDz+EpGqjBIId5mHgvkYThoApvTA84loSFIMZO0wIEUtUQYUAysJjTOkRchXNCQ8mmcAOPrKLyj9s1/qT4pws3vnFER4oDd5aUoAjSpo6mKNQsG5UQRUi8w+MfiZSSanPf1ynZa7RomSYnNJ2dToey5rPpe3SsPq92G9yTyJDSdH52Z+1PvP/vRrxjyPTGjet0lm6SKhUZ2+6xgjoUGt5PEj9EkEIZpEGJ/dSooY9UGbxHSHlntSMkDc2k4Aak3zdD4nqZyrrLpgdmP+Aj1h5pUyPh2HhWgDBUQtujmcmT7/epRaNoJ45TfeMqK9/1KKVTj7K+sMBoIoKv5xGjKbJaApFocbs4TfWRJOmb18i4gtI9J+h2LN6KR3jkyip2x6H7xCMomTphw6PkbfNe4aF2DTZUC+XmMqluksjRo5idKp24RJw8ys7XnkNfbtAIQlTTZ+GZF5k+dxZvp8b9DZvAN+kZDo2UJDKaoio8FBQy5TbZBx/n8R/+i1QbdV4vbxPPfZDLqo79tafZnh4lW2zRCjtIKQnn5qhcvY2Ix6DRvJOjfTjn9GBlMJTe8zzQdG67NsubG5QqJn9xbpSJvk+m1eJJJYGt6exG9EGzQ9/BEaCPj+B2O2zdvkb72iUq/TZSV2hu7FA4ITHGC8SmovS3szjoJGwPefkCrd01xuenaHU7TCRyfNeLK1gReIool5wNjFBDi2RBFyzP5ok1e/iKQsPdQGk3mRcak5k4XxUhr1sCqQ6yQkTgHbjaJQJFkRyZLJBJ6PQXh+QoBsHQiK7wsYTOw06SstOjrfisOj2ymSR/d/32n8r9Ie3ywXNVyTAdMSERJdOWnMnnUV2HL+zWsMOQOxqKHIohCIRQEPE4m5kop8o9dhyLV+tbKKqKH08SiyX42bU/nf1/N+AdQ6aNi5dxsyB1lyPxgMtdna4zrG0SHKrOYUiiHFrK76/JxAGvCiGISRtXGOw0e7yeTjP63DWi5T7x6SM4uxr9zT1ujeg8JMAJDWzPpeJ2EH4Lt7qLrkOwXiWyvc2xUpF2pcne8i7ZRJre9AluXLmB7SocL6isrtXJxvvstG32+i3OSINSeZliQ5DTdFbGshSyGaSpE7u6QlrX0TQf46nHaIwG6MstiqFBouzSq78F73mUvePHaK8ukBnLkcrq1G+1Wf7scyhxk45lMDI9xUImwdjCEh4he47HeEUl42wTTSQZDZOY5+7lWr1G41d/ge7sGOKBx1h9/Q264wXclQXiCRUnpqAnU3iuz/LXnqdb3SePw1douIQMJUJViPX7RP2Ae40ot3TJlqLiA1uuw68kJe+7/xw/emuFzVtbWIbOdt/Hdjp0iiPE5+fxXI832jU0Y5LN1SWSIcQ1k9zsDKpuUP2tz5A4P4c1XYLLt/GiEaKJFMfmZil1+kQ293BNi1f1GBlV5V+pdZ63XD6gaMTSPiPTExRaLjdaVZK+ZHfPJnAlhWwWOZIh2+oiNnwEAk1VGNUC9JjJatMnDAeR8BeXysMjV5BCoMdTBI5DLqaRc3s0pE+VABlATqj8h/X1P5N7JfCaXK0DdfjrxQmSfsjK+CiUG0PiVDiIyMo7q7cgDHlmY5twI+C/KRUwTY2ZxBiuZnB9r8q/v0uk/1m8Y8g0ZQhq6SK0u6CFTOV1bmw5Q47c94kKDvuEDkh0f8AIEFJg+l1m/TpP5jN83lGZC6AY2oysW8RUnbeEho+JDCQrvsp2DKJ9n2mitHwLS1eZdjTW0zq+BRE/ZOvcSUrvP8v45h478RT1cgs5UmLK7XDt4kXShSxqoUimOEr22FFufuEZ4orBxKhBwvXRj85iZjLo58+RUn+bim8R2WjwlernMEYLGB94jOZIggerPdayJpUgJPPyK0yX6+waJv2ps8SeTCHDNqqroc5M0+/V2XnmDYqPPE5baPh2n62VRWQjRD05xsbziyz+8/8Jc3oKeg6Vao0RPYqLJCTEqlYI5Qmi8RSl/AQbu+uYyTjdWu1tFVAclPkKIRhVVX4iWaDoOjwzlcKrd9G9gECC6nqoO1s8023RzYzyvUeK6EvLKKeO4oZZ7PEJsoHGaipG1ashblwjXshQjJj02zZz1Tr6qfNkohma5W3CF17iu99YwBsrsZ2Pkjt5jNGFbTb7Aa90m1Qsi6wtEUKj4DTYjmok6jZOxKTc7qBIhd2UTrEZEDE0GrEIyWqNqJZCSg9FgXsNhx+LJ/hqMcFqo3yQXRdKeeDeEEKBfpsZv8m9PRPfdVkUITFNw1RVfnZ758/uZjmEnytvDZ58iyvzrjUIKP38autPaY/evXjHkGl1JImi6Ex7DlcKScpvDSLKAyI9kCUaQB7eJAb/ZEiEgJjweORUgSe8HCOuzmd3W8xkYhjRCIl8nluewicvbxKqEUy7zdpWlcVojLO5NLuWjROAMFU6dg/PyOE4IaEuiKyuk4mewag02Sq79M+fJ9QE9b02qVOnUaw2tRtXGTtyii27g2+Y3NIUupUdpopTXN3Y4lK5zHubLp2EQURqxKXObHGUbrNNpdZgI5fEWFrBKs6xsLtNZGODggu5SISbThfz+AyZG3tcf/MySvccLely9Hu/B7m6yYdXK+ydP8XaD/0I1ddexTk1w8pbOyiKQqzVoSwCktE8bt8nHrhUdlbp7FapL88g19aQ93uEviSRz1BbXf/9p/tAb0aQ0RQypkYlH6GxscM5QyPS8nDNCLGOTSGZotxyeL59m8WJKb7vnqOMFEdp7W6htroslooU0zHSnShZRTAfjWMVSmxMx9lsNphstXDWN9CsPulQJZ/JII0kkY1d1splRNvhrdERclabkTETel00Qk7ni6jNDp2ZUcJcAmWyxHwYsFWpYRg6vWgcve/jtW1eFyYIhZzh8z0xg34+xasLe4P8Wk3jG2YTAar0eVQTPBFL4QUO2ViMpu/T8T0C83DRyF28W/GOIdMgkiJbrnJ7OsuzNxza/ZA7GqZv8/8cCmCCQPMdHhVtTpeyuO0+MZmh3KnT7DtMW32uRkYIDZ0j01M8feEWli/QdfgxQ+AkE1zxJW8pEi0a5SlT5ZgM2MmkSYkQazSPulFD39hg5+9/ghFX5Wg0JJGKsTx9lI7UmRENOlcXSRtJZCgIY1GMwCKqmdhTaV67dAUNE3Xqfq6srvLBWBan20TLJpj5yz/Jxu9+ivSVBWqjReYSGV7yYCOiQEbH9VUmS0UMzSXZ2EFzXEbyI1STcbRWn+UXXiDe6HBjc4dU7RaR33WQx07x5s4GsWKJ8YjOZgjqqKRTWyVbTWA0+jjNDtl8lvbKDo/+pR/j0qf+E516jaDTGmRSHCITsV9KymBxsOy5/EvF58PpPB91BGZyEi/vYuVHqNXLJE6M80Bhigd/89MsoXN5ZpJcvcqDmuBTtsvm7UW+f2yETDpNfCRD4oMfwYvHibz6ClrFI/XaBTrFUQy7g1dMU+lZqJ0OqqExJwTLOIzKPvHABRnFN2I0NWgYBtnSPEqrjW3GcF0fu9ND1KvIhEHYdwgI2cuk2NsNkcCUomJOpHh+a4uMDGgoyiA17M4AQxMhJ7wGD8TyhFLiK4K65yKEihmNsxAcNuPv4t2KdwyZmt0m1fNneWXTpmuvD9T2lUH0fmCA7keT95l04FCP+z0edbc5NjuOgk+x1iboWOQ1kyXN48OlHF81s1zY2OXm4i6e64Nm4vsBF2IJAl+QFjpLls5uy+J5IZlO6+QwuE8R5Gt1FASlQKHZslHiUUZDD2Njge1UCrtXR+nu0siP8sSRYyQqS9RbGlXVpFcJ8SaSJMZL2LmTyK2A9HyOzSefJNHtkvns19n8td9gS+1T9BU2dIVFU2NVD4mvr2Lk8vTHCzzfiZBs+WiZgJF7zlJstqncXiARMZDZAsX3vp+VV57Hz2SQ7R4j4/PUthcIy1W298oE4wUCI0mv2kWPlGn1fIpnjuOhcfM3PwuGQtTuoDUbuNX2MCXt0MURdx6FgILrI6QGPQ/tg/fjd5OUAw9Tz2BmknhRjddbDeYeeYhM3CSaK/L01hZfXtmg03WQtsvVqMFoapLtKwv0tK+Si6QoPv8aotdDHZ+i7baIp+KEsSjjS2XK5V32rA5JzSBiGEhPok/maOsmkeUd8rqJqxiMuRH2rAb2tRvoY6MotTot28IsZjg7Os2taperuzsEiooIfLoxgxsljQdrSU7Np/n3KxXanT6h0NgXI38opvGdapGIabJnNVCTCW4EGjfLZerNDl3/v86eSP+14R1DphP3H+P5N3fZ2uwSeC5SqNxZyw8jx0OFd4GCkAEjTp2H8x4TU2dJV3eINXwigBWP0Z2YprS1QbMveHN3D8cNBtkvw/xUGUpWbJ+MNFhz+6ixFFJoWMCtloSmx3U14B9pEl1obBsKMUNHiQpeCVUaPZdTl17lzU6fVavF2dOzxMsb1BoSWhXO6xE2xo9Q0W26ukY0pTIxfYyZmRjF7QUeLp3gM/efICyMI9a3KDbeRHE9wqkSSXwmpU5JjdOem4BOl0Q8hRmPEMzOEFy/SVjeIz09gXAduhubzCQz6Bj44wmu3LiC0/cYm5nBm56nVV1nesNivOewl27gR3KErklidoz81CT9SxdRHryXwvgYnY0KlTffQO4nhA8Df4MrIIm7Ho9HshxP5QgNwZaSx6uu0/N9zH4TX+2S3oX80eM0l6+R9OB2dIHdep1Wz0KGktDzubixyemkgasamD2B2aiTy+Z4ZXuduWSc5LE5RksFHKvPgrxKtNsmq4RoYUCoGnwlFmfe0mj1JEm9wGsubFspUvUKJ1vbPIGkkeihGxGsAJqNLlfFCrf3FK5bAZHAYt4uc8SPMxLPsJNNsFFpMd4u815d42ueTls1Aag6HnpKox/00WJxvtKyuFFtDHyqqHzjzHMX71a8I8j0f/r4d+FLlVwgCCx7cCPrxsBfKsQwFYpB9lPgk7OrnA3ajMdNipkRnLaF04eWKpkayaCNT9Ezo/xWJ2DFauMKfVhWPigAgIFWp+UFnE7anKltEjpxXjRKWIoJKEgBfghNodAPLBLE6TkePRnyWd8k7Fc4Mp/iiALd6WPItR2c3TKa5TFjKuwU8iRnxuktX8fv9fBffJbHshWOOQ/ztXScVystVE0j9/TzpO0W4coa4+0kN8/OcnSnwamGpJGO0Ntocc5xaJSiXK3dxvjK12hWa/RiccKuie74JC+v0t/pwo//OGbc5KFb2/R3Vrhi10mev4/pU0cJutDpdsnpkolHztMxizQ3Wpz7gR+ntr5I7sHjbFy8yuqVS8gwQDOG5991MB0HFQXVNPhwbJK4U6cZEfRPHKNn+xQqZc71fNpGBCsMsQwFf6eBPneUXrdJcq/M6coeFzWDvq4hTIN+36IVOCRMDcMQdNJZlCtXKCXiHKn1eQuFm9cXOf/oo9RLRebXNikZMTzH47lYiq/s9AkVHSkUwjBEQRARbc55VU7gk1AjtGyHmhEyevwEadNkZXmDZ8suPjofSCb4sOmjOwqXruyye3sPLQh4KmIS1zTUhMFnupJACjKqpKcJYlGVV3two94hlMNcZyTI4D8/wO/iXYF3BJleMLKUuiGFUgxtUycMQWg6uqGj6QZu3yIMA9TA5Tw1Hs6qjBg5fHSQUaI5lYg+SgOLbjRN1tH47PIGCx2bQCigDmX89ushhUQIFYlK0bJ5IprCch2a9h5vxibxUUFRsEKF19J57ms5xKIGnqJgl/Io18tUXMmC7PNwTlC2fdbzCYpTeSYTHpHAYFlGyF69TL5SJsyaOE89wu9sdpl+4Rb5v/kBtnMq5j/7PeyuxaloElkYRdUM3ozEaE8bXJ6O4q5uUNndROl3eSNhoM1pLD93CaM0w7EjR8mGUXJLi0SjPr3vepwNq4YtYlhqyIfyY2iyw8V6hcT4SZIPniNSGqWzsIhu6IycnUcbaWDvlhG9FOvPfZ3GVplUPILb9shkspQefZxg4SbH19fIhQp2NsdYbopa4RTt4gxmU0XkqqSOH8ctmWTNCIbIEOvZpJ55ie54gV23z2gyzuzpk2wubbAqJUYqwfj508w89RjmXpn1W0vkQ485RWE0iHB5ooj0PWaLaao//wvkoiaFE2epba3zuhHlk90evhGBMEA1JEfHNSbaTe5tVMlqCmo0xmoiRSVwMYTCy1qCVDrJhf46dihAFbxsh7zfTDDuBUyudzEUHV2N4oceVhBgxHSEEqIHDqM5DYnA7UoqHZsQFVQ5LLob5uJpWfAb/2VvpLv4U8U7gkzfm0hTWd/hQkfihwpCEai6RqpQxGo0yUsbLbQJjQTvzReY9EIst0tEU9hzbYyOwKx7dLNJLi+VudZsU+m6Q7/XYEl/JwEVQAVFI+t3yHW7dBQdVdf4aCFPNdRZ7Q7CLyGC1xs2R0YyRMeK7Ow0uFh2qbiD9NabXZ8npM1UJspsp0t5VBKW8uwFOm0nwc7uW+TOHSUxEiOCRq+/RqMQkLn5JvqxKSKxKNnNJrujk5Rn48jdOpVun91ohvlAUjl/HhE1Wbh9C0KXfiVkZv4kx7/j/ejnzmDfWkK+foFEaY7RXpdGr0LZcamtbuG36vgn5zgbH2Ht9Ut0CZkOQnKKjj9/Aj1XIOdJVp/9GmFrl6gn2LM9fMNk6tg4x/JFED7a3ByjkTgWQLnKzYUrZMQJ0o2bFI8ex3ptgdH5aarjk9jxJOHCJrqewEvFWfdsRNtCzRfZbpTZ9lykqhLL5ymms5gbe9y49BZ6fY/0mWPc0A16LYeIZjC2ucrEVJFU32elXuGrD51hxM7w+WqXYsxgXPpILWT87AQfLWRofHGPnZhOLydhC36to2FLlbPZPGt9lXxth1UrHFbFBYzZDSqBQiUICGRASjFoexahAFsIulYXReqcTUR4by7HSrPN55ot1vsuKPpgLIX+IVGdu9bpux3vCDJVtreZTkb4ctce9BtSFALPp1Uugwz48GSMU7kZPnljlRsWrPgBR5JFzMYeti9oCYNf2qzQXN0jDBWkUEAxhmIQhwSk91XiFYWM3+JR2SGTjNNPxDEiJplYArMbHsplFbRcwatmltGdNk9vW7ihg/B9IgSsOyb/0YWd+jr//cPnONpts6FAR3aZnS4SaNMsLe5gbQW0m1X8dBo9ncTc28M1DNRWj73RPDtjEa6+8CI/ZGZJRosURJRLlsXkfIGtvT2ajoPodzn5wKMEbzjkTx1F1Q2sI1Ncn8/Q9CXq61fZOneKeCfg5FSRbjZK6tQZ1EQWJRKy8KnPwPdJxu49Q2/lLe5vOaS/+jzLy9eQ06MEvR7p0TG2X3uN29t77GpLRLIpsrEEaTtgxPQw7IBRVWLeuMXYyRNYmRgtU2d3bQ212WbjxDRe0ST7+a/RDlokug6JtsOm47PYbeOEEoTEbXboKRoXr63gtxrcd+YIU6k4tfwYhbUWI9EoUVWwmS2QGMsxvdjlS+sNro/m+A7HImPajMo0/vgE5cYO7jb0Ugm8aBTLUGkGa2Qcwc1okedWa4gwJKW0iQchtlQ5Gvb4LsXHVAx8CTGp0pAeCAhkSKpQIC4EmZbD1Y7D0u1tZuIqm5aNPMguOdRobj/f+S7e1XhHkCmdDr8VhqzXXIYlTqiKIO22mdI9iq5Gf7PPe8cStPcqZG2bLdtlM5IlGzN5ZbdJ10gS7itHDRuX7VeCCEUd8GPggRDohsZfiJnMVDrYfZsgEUPqOr31bYqhZFEbHyz1EUihcGmliQwDUE3QoKCFfCwl+c1Kn+t6lInTx7ng+3xnOka40qGw06d0dpd2YLJDQC/ho4soMp1m1+pyu+tjPvlesrEEsZjOtTeucXGxwj2TBsJxiHo15hMq7sYmZjzLSKmEX1MRgUc7GaPy+c8x3nGYLmY4+8j7WNncQr//FGF1iU46ydiHnyJWkUxfW6F7dpa46uPUyqx8/vfInz9NcmKc0qdf5NJ4iZHj30374ssU7n+IvRdeQkpJoCo0HAd2yuzKPcqRCPel0tyrCMK4QTQRYaOyinHJJdFtEOhR9GqFZGMb1BDRqaBLicynkH6bQIVbO92hj1HQL9dobWzRqzbIZJOMHzuJ/solNis1Tjs64W6Df37tKu1el4SAqKYys9HnXFxy8oMfwn/ha/iGTuHcCXZv9Fm6uUpKeiR96LYkxyemmO5atB2fdQcKisdjToub6Txf7yrcG40z7ao0hcSXPo7vYQcehq5DCG63iy0UFBnBJ6TleFyxPGQoB+Mq9IY6Edwpc74bhHrX41tp9fxLwHcDZSnl2eG2fw58D+ACS8BPSimbQohZ4CZwa/jxV6SUPzX8zAPcafX8eeDvSCm/pfl6OWWyvudiOSBUBRUoCJuPKA00U6de6TA9N4fxkQ8w0utRfPka8Tcv4PYafKWRwjdieIEHqjrs/eYPZPT2hSFCD5Ak9IGYrx2Gg5JBBUygt1cjbYVEoxo/UMhSbgTc7imEwzxXiTZI01JUBJK06nPCs3mf6vJ5EWH6+CxNNWSxtsmRW7uUSmPU9hwKb90kNlXiWirLqqpgmIJUt0w/NUfi5RdIvvde5OIGred3CVEJoxEmfNhJm+RCldrODnNpF/n+J9l47RL9XIbS5GlqF26gnD/Jm+0dxj79O+SjBfxsjvb1TabOnyVsCPRyg4s7u+Qvv0m4usD0hx7DHClSub7GjWvPknjvEyxvr2LqRQJfEs3k6TfbCFUfFkqEg6BdGFALPJ5t1bGSab4DDTcrKUXjbK+t0w1MzG4bU01j2DX0uEFMquRVsCKSOSXORcumuy+QIiUEIdsXrpAYL7Ly2hK/fu0tRlNJ1qpVXkBB9z36aEgpaYYBIvA4HdPIb1fZdl5hJFeis3AL+8qbyN1tEhGDxOn76CzeJvRsnKiOHY8Sr4QI20UVg6ID33PJeza252IbOvXQwwsDEqFkPp5AxKLUPR/Vd2lYNn3XQWAMxtO+8SmDgY9nP1VvqBfBtzbU7+IdjG+lNOOXgQ+/bdtXgLNSynuA28A/OPS7JSnlvcOfnzq0/d8Bfw04Nvx5+3f+gUgJlSendO6fjVLMmUyPJ/iJtMpJH9RoiuixWSKlPEs3r7HbaLCYiKHOznBiaoQnYi6e7xJKSRj6SBkOhFEkA8WjUA5bFgvGIwYJXUcGAW0jQi6T53i8iKJq2JZF1bVZOp+jMBlDVYanT9WRijqsSw9RFHjwsQcIfuRHePLoHMciAuvWEtbYcW7GJmF8nLLdRe+4jJIgFggKLUkBk0xMQHKMZrNBcqLAK0SIeD5110MKwU4yQhzQoybn+y7xmWliR2c59fVXKYUh6qUL+LExcsdP0XZ2SWU0VkoZegQ0vvgC2fkJiqUMkb1dXvzc04Qbm4Pd3tqhOH8C1Rjh4s99gpWvfJ2v/MdfZOvyBRxNoJ04wbOf+h0q6xsYmsbJrsX99QZF1yUTjZEUgtz0HEtRg9/2fV6uudwuh4TZIhGvh5Y06ORU1LZNoRMgVWiZBi074Nf6Xb5WrxPIO7XiEvAdl+byOmEY0u33Wdzdw/MDtNDnw6pCSvoHEoyjsTiRRJwSOmbKo9NuUoom6FcbkElRS5gsNHYRpoHYq9NbWKW0tEW6uo1GgKkoTMQyPGLZ/JAmedQ0abkuhhswGc0wZUap9Xus1Gr0pAcxnSCZxg8g8L1BzrP0h3n8A2/6AanK8A6h6rlvdcjfxTsQfyiZSimfA+pv2/ZlKeV+K8JXgMn/3HcIIcaAlJTy5aE1+qvA932rO1k+f5pyzyMVgWbbY3Wzxee6Ia1SnkSniXl7lY3VTZIX32LcNog5Ie3KHjIMmVEgKgXS9yEIB6LQ4X70Xhm6Pgd9oW61bHb6LkEgeaYjeD0WY6VbJ+0GFDyf8ViM8lKbl2+28EIGUn9mBKHpg1M5bKmyZ8S5okZpvucRzh8ZQ1FNtr72As+9fImlzTqR7SYNJcKbgUuj3WW82kL2QlotQdtzMIoTrO5skS2O8RYqdWdApjfWyvSTMRrCo1atcHS7jFtvYFTKOMUcyeMz+NJnx/JwPJ2OWiQ7Po+jhlSzGoXp88TeqnDlxStUlzaIFxMsdcrI/BjtbZs3fukzWK0+04+cJn92nth4gZ3lZV76td8kQCETwtF6i4+NlPhIrsgPzhzlo0dP8MPZEg+VKzyytktYGOFGPsMvNsv83vIafREhCST3dumhclWJMFYLmR9NM93V2ELBc93huAoPzuGBk3Ff1GgYG5whYE6BJ6dSaNqgQeKi7fEVW+HfNjos1hUKmTROwsAwNMJ8GpFPoUQ0ssUSY3PzZGIJAhlQzKYQpsmOr/KKKhiNJSgKhbSEaTPGdDRJKH3WPZtQ6ESTcSKxKOu25PfqXXq+HHbklCBD5L4g9H5ba4ZkOrgJ7hzTXbwr8e3wmf5l4JOHXs8JId4E2sA/klI+D0wAm4fesznc9k0hhPhrDKxYABq5LPLEA6xfuonrushgIMjbVOCnJguou212TZWpzBhet4u5eIukEyBaDkoiht+TaDIkOLgxQ+BOIGlfUGogSzbwbXmOR7/n4suAQIPduE67YLIeJlHjMXzbQ5gR0A2k77EvkiwRfP1rb6Kol5gcSZBVQq5sb3L0vpMUIxBtt+nHDSqlONIoUbENjixukpvxsfQYxsgRMuUt7LRC9Bd/gXZ70M8HJButNl9d3Wb8PccpRTSatTZzjYC61efI8ga3oxprN5dxREi8lKNU75DoBiQsyWZMkLx0GTb2WN/cxgt8nnnha6Ar6OlROhcWcPo28WyUWC5F+tRRuusVGps7GP0ej23sMCo0kpqB3azRth1Gn/gYswq4a1uM9F1afYuk5dK8/xxXEYj1DT5Vr3G0Z/DekSLXlD6TS8tsxSLkx47SD1QmW2VWfR9HKN+EawYrBjGUthPAeCLPSERHUxVC+iAErh+w5riMHDvBWi7B2NIyJ0dHqVV3MB2PaLuLoZv01AZBcQTZbdKZHcctW4QtBw0o9Wxatk1NOqBH6Hoeo7qJiYpuGihCoCiC1/caPNds4whtUDgSBoOiBU0HKe4UM3BoUhg+fmMR7l282/AnIlMhxP/IoPPPrw037QDTUsra0Ef6u0KIM3xz7/sfOK6klD8P/Pzwb8iEhI2uTX/yCHL30sDKlLDX8Pn1sMwHfQ//rQZuYQRZbeBaLbo6qFGVC26AGbpMpqPcbg2WZIP2xAMrQlEhkYrTafY4XOcvwoCCFJipNLrTx9F0giDC1e0OUs+CB0TiEAysqn2RZAkEfkgQwsp2i5Xh37r9yiWOR0NS+RxXhUXPjJC490G4tsjaiRL9KZNQphkrFKm7TSYUjfukzxVCNAHu8HS9tVdDDeC5XJ49NG5cWaDctcg7Ie9/8gzJ2QlyyRHcnT2a9QZqv0NiIkep26Ns6mROzjCDz5XFDaLJCLYr6ZRdglCQGC0w/dhJxp54gNR0CTM7zrWf/xU+UpjgA7EsavkaLgrXQx+z51C7foOm1WO0XsUcLTA2kqVQb+E88ypqLsarpkk3kDTSeV5OJNhybL7/+Elqaoull26TwOCMbiJUlWdDCNRBw0RFFai6TuB6iDAkE3q8J2YQOj71VpWvWyq3vehAa1QoCJRBh9bbAR8azSDLe9x+z33kKxWsEKzREn0zysxOmYYMaasGpqYyeu9xIk9fIRP4pA1BUklTd6u4hk7KMIkHklvdOo4mmUqkuNSzebbRwJcKUhmOIwCU4ZjcT4M6PML3V0Fv+91dvOvwxyZTIcRfYhCY+s79QJKU0gGc4fM3hBBLwHEGluhhV8AksP2t/q1jNxaptVrcWnEGfWwYLO+8QNLsCvJRnX7WpIuP2S5jjo4htzfZ6QVcqFs4mHT8YQdTONA4lUNFqXQ+RbdtDWMEA+t0VA9Qu01qRhTNsYl5Lq5tYeqjdMwUIhI/0O98O+S+RaWIgctMSkx83mfqLMUV/GiMwHIQ1y6SXK7ifMdp3ESM3qs32LVDwuU1dmemcbJJ1npVPM8BVZKNK/yV4/MspXO8sNai5kh2ai1k6KNYVV7dWieRHyM1nadYaXCzWiU+mceYmqK4USc2PUZvYxN9ZAT32jJdNYKPRuCHKLrJsY8+ydwHH8ez+ti2pO349OsNuhNpds7McV+7hdPsknVbdGQH/7mXyRk6nudjxXWCmMlyBG7X6myvrWJm0vTsPrdafdTTx1FmprnaqqJZWUrJHnuOi9NoU8iNQG2gkaqqguxoATVXoHL1GgVd4ydjaWZDwXi+SMPtk05GuJyCf7tZodFxUG2LjKFg9JuM7Vnojs/tdofw4x+h2mzA9hrptkVtNE3L6hEZKyBaFqOuy+honv5OHcuTtLw2ETfAwGYskkLYFtO6Qb2Qpmx7XOjaDJqwyjvLd4btcYZK/Ad8KQRi2J9MCAlhiKrr+N7vGy538S7BH4tMhRAfBv4e8JSUsn9oewGoSykDIcQ8g0DTspSyLoToCCEeBV4FfgL4mW/17wXrS7ihh9/RhmNWDnp/hyEVS7Ac14k3q0jb5h4txpYZZUlP85V6HydQQAHPG0Ts7xgIw1xAKdhc2mO/3cN+TynPSKPFdYp2n1CP0Bc+o6U8edWkWndA0cC2kIE/tFD2fXwCFG2oNB8OaT/EcX32ZJQTER1+9HvRrD7W6y8RKWZQ2hphz0VN5DAnJgbWXFTBnp9nph+gqQpCeDx6Yo7TfgRLmqzpKk61SyhDzjw2yrEP3kv9ap94OktY30MUMphz06wLaOs6qqqRb3epLqyT2GmBomK5g3JHIxlj+sn7ePiv/jiN7WW8bh/FyLL67IsEtsfT12+yVKnx2XqTY/EY96k60cwIdj6No4TEThxjfXWNFdvj5VuLtNs9UDWEFyAMjYCAt24tkW2O8OlWg6QW4SOJDGrgkQt1vtBqESJQVZX5ZJLHn3yC127e5pyuclEo/G6vw98yEtynjhPTFTp2B2/c5fx4h/hbXaZ0nZbdJ6VqnH78UdzJefqdBrtRk34ngqEYjGcSzO10qG6XqY0HdNyAQq/PeNHgQiXgi67J90QgowtmJ0s0WxZ120HTVF5vN1nseVQt686g3M9PFjDwje4PrOHKZujsFcjhqkWix+P41p+8Zcld/PnEt5Ia9QngfcCIEGIT+J8ZRO9N4CuDNJmDFKj3Av9ECOEzKPn4KSnlfvDqv+NOatQXhj/fEsKxFHNbTd40oOUOB+7Q2e+G8Js1h+8fKXK/V0G6AV+tV3m2rhIKDanogy85SM7fr3JS3uZ7OCSCqqiUPfickeJHp7P02jUKIUjVoNb2wfeRQWdgjWj6oNJlcLJAGVRoIQR4Dqdn84halbdqGl+XGkbEYOzSRXbNEUp1jfD0DE62iLa3w4TjkanXSSoq7a1dnms0eKAdMBmNohTS/MjcfcwFeb7SbJLPJPAXNmlqKkongrviIUIXx95h58oqi06cSNdCncjT6jgoKKy+/hZTRgbfDJCaMegsKgPwHaLJGL1ymcC1KB0/i1vt0lhchiDECiWrrTZWvcmrlTpfjZl8fHaWjKJzOXB4+cWLNNc3CRyHcN9/qAzafchg4Ju2W122qw2QISIMWVdVooZGTNXYCXykUEgpglnhcu3CG8Q7De5NxNhutvm4oqNkErieRURG6Lpt2jd2+B4ZEkxP4dabzPQNUpOzbFogdANOzKMcnWPk9lfJ+z6VI+OsZ1Po9R2ilRbtVgvl1Bkm33gV2a3wGhl+21GYiMTY3qni2y7fm0xxxNQZFRI94ROnxmKzfYc4Fe0bA0sHVun+6iREECJliKppCECN5gisb4jn3sW7BH8omUopf/SbbP7FP+C9nwI+9Qf87gJw9o+0d0O8drvOA+NJ2O1/g1W6P4y7Hny61mNUl3hhiFqukNSztDDQBKiKxAskIWIQBBCHkhjuRJ8Gr4UYNuRT2em5/IIrmTo+jdK00ZNxnF4H6fYHif+KivB1pKrducFkOKiuAvB9DFXjRx+/h599/hrBiZNszo2SXn+dMyuLpHJ5Vq5tUZtxGes7VHI6Tj5GN67RbIT0o/AeND50z8NEnriP0uQcL1Q2aYxP4zz7LB8sZejZFjdvrLO+3WD+6CSlEYsUBjduLdPdbSDfEJQeOEntrVXsdoflbBqrVh+kFckQAh+35XH9k1+iODHG9F/4ABElxq3nvkSvUkNKBUOBnJB0Y1HajsuO7fFzi8uoqoLbt5F+gAzCocGvDtwnQgzP6KE0NCEAFakpWIDl+zQCCbqGkJAScG8osFfWaDs2UVT+X9EMHyidomwohEaKnVqdvFFiKpD8VmeJamOXqckjhBurJMYypDxBr9ZCZAxkr0eyWMTb2UQLJcW9CpNC8karhVJrsvOJTzCi6Zybnabcg7fKDutda+AHD1w+K1TerwR8aX2PjjNcnwvlwPbk8DGyr687HFTDoNMgwj+Y+MMwGKxk7uJdiXdEBdQzyy0utlzafZ198Qixb0kOK0xCRacVTdLu7vJIJEXUEHwlgCdyEcSxKbauLHGt5Q8/NYyrHqzKFPa1KQ++E5C+R9sNuHFpAzlsYSzl0CJRlaGF6iOMKPvV+vMRgYXHrj9QnwqlRJ2a4wcelbx5a414v8qZwEBGQtYfmCQ1M8PS9gJdJc/506fYWFpmZ3mBmftPoMgYuy/cQH3kSeJJyfGax+VEDiOeppVPUxqR/NXcEW5fW+Fao0H91QpKo8VuvY4mPM7MF+hvN1B1h+lHjrO9skF0/hirr1+lu1cZRJ6HxxV6Aa1qA9WMYvcsFp9/iTAMSYYhH7VtzgYKtUiUVwKfVyUEQhD4wSAIdOA2lgc5lZJB40IOdA8Yyhtyh3SkRBgmYeChKApTqkbOctlBUlJN9GgEPTeK5uRZ6SzzYmKPSK+PaabYjfQ5MTrFI8fmWT7/AOEzz+Kvr1B74GEUxcGenSH3zEskjTj1+UmKG3to127jCpWj6QyrtkfGcYiO5viVfpvb2zZSjQ5cNDJABgqb9Q5fsk36XoiuaZR0iIQhfiDZCwTW8LgOrXkOPcqDcWqIECP06LWbd0pM7+Jdh3cEmUrFoNEClMHgjeuCtAzZcQeEJQW0HZ8X4hHeP3uUGR1SUnC95TEdVdAkpE2fpuax4YHkjnUh9y3Tw2r9+yks8nD+4H5SuRjsh+8OWgAb0YFewPA9u47PsZE0/VDD9nsc//h3IfWAuDPOPZeukHzqKVr2Hh2lx/r2LiNnzxIdLVD3utzsS3peBRFNsX5rixnbZS0ZZW79Cu5Dj7N66hiJVplYTCUyMcnO2GmOj53mu37vS3wolePKl7+KG0/xwr2nwfQpKjG6D5vEcnk6GwscK6Zw0xFWESiqgpQKUqrsV+dsPP0S0b6NOTNBc2sXRdE5Z/V4OJXDGh1F8Sweimo0mm0WbIcnVIFGwFVVZceVoEUGTKKIof/5UPvnAwIdnlehDCrSwhBFKGQDj7QSoeUGCM8lgo7T71MNd/hld5OmdBhra5ixNE29TfzceeqGwnqrgn3hWWKnjxK8UiOaTuKWt+lJQTqAvvBQbBU1mmOs56ES8uCD9+Bqb7Frwuv9PrcXdgkwQVcH19sf+NdDCTudPoSSdCzKh4sF5oVgo9WkallsCMnrTogXBMNgJiAUFAJkOOiHJRA8kh9lQki+1OkOynDv4l2JdwSZCkUdVi0N/E9uEHIya9KpOXR8eRCdv1bpcrMaUEhFMBWVraZNPprlkYUb5CMGx9Mqadtm1baJyoARQpaCOI5Uhj6+fd9XeOdx/wc5UJcSAnwbwkEttiByRx1ISvqWw1utNvd973dQmhplppRg/V/9HMmtPcaiOsoXPkt6JEe532Ur7oHVxLF3mT85irvZYa+yC36BCdNk1GqDdAkzKfQrL7Ny9CginyKS1EnMz9Kr7NAIHEYNg2Z9k3vG8tT1KFcmS6hpB7ZsqrduYhTyKHHIjKRRIyq5I3OMPXg//VqNnRdeQopBd8291S0qWzuImIGIRTEiEe4vlBhRDKrROFOaT0eavEfJMBp4HDNTRD2fN9fXIAgRmo5UGOjLKnCg57mPkDuvFUEaSTZ0aEXj/ODsEWjVcZIJJrQE/Y5PtOXgWR1qMkTTTSpI6mGPVmAwWczTv3Ed69YtkqFA2eswes95nFaH8NYK0Z0yFS1Aq7d5xNLIdmwejsywGulRbzTQqzU25qd49rVbhL4EMUxxQw5T5wIOfOhCodWz+Z1qlb95dIyojDGiqmiuzWXHZpC2vx+5h8lYjLwiuNzuIlG42O5Si8awgvBudtS7GO8IMpUyQIZD0yYM8Hy42pOY6Ri9Rn/IZRKkgh/CbsM5MH6MvoOqa4h0inLf4j0xwfdrguTkFGF1j5+puGwc9Oh5W+sTMbDgsoag1h9WuoSHI7cMLFRFPQi4qIbGme86xxMfuIfu558j8tvXiAuBMA3qvT4dVTBVFaQSCZIxlZq7iq5H6C262J0V7iudpp1V2Fle4WY0jm8EzFVqbBTmuEdGmTt/ljdWb6DHE+TWBelqlbWrl3A0wYbrED05RWyrSvVWhW7UxMwlcH0PlRzRsE0zHmf0xByu6yH2tvm7pQwL3R5fciSeqiMNFSkUND9gNhbHN1W2uh5hc4vtbIxAiaDPTDMjBL/86adx/WAgIKMNhpLYb7ktJYahEgQBQSAHRLpvlSoKSiB5wFR5Ipbhi45LPZ5gLPTQ1ZCOZ+J7TXoND8/UcUoF0rtl/Afvo3N0Buf6TZRGhbGjR4gmMyRuL1PZWmPBCMmFCpFEkka9zrgapaQb3I6qGOU+H1FTvNxcpeyViUUE9aU1pB/cueZDoZvBBDogU6FqSH9YyBHCct8h6dqkE1HKYQSvvf22FFLJruPhRKPD1vQKfd/DcjpEZYiiq/TuGqfvSrwjyHQ/ej9Yeg/CSJW2BaqA8LAPakCCct/5LwULXY/xXByrbLNU7bCu+DwxYvK4omP1uuiGAdZ+4Giob8r+qlQhYmo8Pp3h87e28cIBESDDYS62RPouQjNAgIrkSD7Bk9Uqsf/j33F/y6Hu2TSLJo0TU8QVnUlNZ8Q3cPsBnX6bfqVDbtfmpJLjSkan7YSMRRx2tEXsSgKtVKKczvPhiaNcu3WNr1QXqesK3e1Nbq1s8tbmDiXfpzM/heX3MRZvcf+9j7LqBfj330M/nmH90ivYXYvm1g7t0ilcTUWPxkj2LeamJlG6HZ7f2KMV7FeFSQLLxfF8Yg+cY+PaLTK5JMXTxwkW12jcWuLVjo0bhIPWHIoy9Ifue6QhmkxgdXsHVWYH1zEIEUJhWgk5pmroQuVDqSwvt6qczUaJBgYdzcGpeITJCLqqET13EiOTwkwl6K7fpvjUE3iGxs5XnyG3VaXV65HrOcyWe1RKJu1qlbNX06Rclw3VQq97XJca//a+cY5f0ohoIZ0gQkm0UBQIAob7GQAKBwI4yEHAaOgCavVtvlbtcSabpmX3uF1r4IXh8K1yWPoq8XyfvXYHEChCctbU+Eg2x6eaLXZdn49PHed3Nu72oH+34Z1Bpgc1z/vmzb4Kz+AGFooyiCJ77kHOpyogpkHZ9nnNcmnYHv0g5Fguyn09h8Vb15hOJvGcYBAkUcI7uaYHPVBUHM/nxb0ufhCCGLaikP7Q6pAgB3mmKUPhfUeLdOI6KytbzBsRdkyVXD/AWqsSJCt0s3l6dsj0/P1cG0tTvfgq2uI2zftP8oWXV5kuHsXxtlgsPoRmOPSDTVRfMv0dT7J5+TYnzpzh9Z1NzNEMWxcus7q9QfHBR+h//ANosQR715eYGVFZqm8Q3HOeVq9He2cPJZIj3t5EO3qCnVvLmCNjyHiU1c0ynzN1OrpP13MGQTUJeBKJZG19m2csm8eiJqrdpVKrEgsCXt2tcaXeIGS4nFf3W3QMT4kMh0TKwDWyf/2GVWKKULgnGSEuJQ3fRXdsnggjZKYm2O45JMs1Jj2DejaGb7nc9Bzs0SwcnWBmU7Lx7NPYlRpHI0maCNR8im01RK/u4DcVSqNF6ptbLFQ2yEwWKVk6XiaJtbiIXrMJ4wMLOu34GOwHkuSBj/zg+f6juBO5X6+3KTs+qqHS7TuHMkGGU/C+kM5wEhEIjqTyxHWTqGHT7fX5Sqf1Z3Tj3MWfJd4RZCr39c2GFuegSXt44OSXQXBAthKJoijcV0rwwFiWp99aI6VJ7h0t8vmNMo7jcS0To92N8mXLZ8cJkOEwICUChNARqkI4tKCCUFCtdw4sDwiH4amhuRVKZOjj6THEow9x/Td+k0q5TCoW4cdnpgldh0guxpFSFjsmYbPM5Y1X0SNFvpuQq7EMcvwcJx+do9yrU7FMtO0lQhkh70ii9xxh7fNfxF3eZuaxB3Bf3CA0fKQQxI7MMjo/wtZbS3gCFF8QjpSIfvBjWP0uXH4dr9/EQRBJR2lKDZUmi5/9HKqi4Fs2X2o6g2NSBWKfQ0KJkJIAeHNrj52ozpnSCGqljR66zChQmJ3jc5sbBJIBCR9OC1IEejRG4HsEtjMULxlcQ0XRmFcCRl2XmudiGBpGLA5jJVbWNpFOSGe0wC1VMFFuMaJFiL34BomxHDtTY+ygE19cx0xEBvHImI7IxMg4Nl7bIq5o2KHE11WifUn76jqhaTKxrTERjRE3NEZaHcoRg2QsQ0j3YLfv+Mz3idSH0AIlCoqBUFWEUHD6PWRvf1IP73zu4PN3gpmhDPhCZY83Y3F2+oO/1Wu3v523x138OcE7gkwHqUyDBGjYX2mLofQZd6yAMBwWMKnkx0vkVclP+Q6+SLMTL6L4WyRVleW6z5WWNejVs0+QUiKkQippEgKdtjV0LQwtk4OkFw5ZMAy2BQ4JEy5++RmarS6hF9JqdviNcJ1HZ6Zxm31WtxeYnSxwwg8ZSUuSQYNN30XPn6Fet+mtLOMVNaxKDbm2jasFKD6sfe4LOLZHeP97eG5zFRnXsCp7ZCYmiEciiHQa3YwQeJLE+Bh4Pv1qh8bll3CWFxDFAtmJEpmxNDtbdVQdAtvG9/1BuSvcSQXbny8YnFshBFKo7HQddjtrPDCR52ORKB4xPlGtD7KeVO3g80gQ6qBowbOsAYketkwVhcl0jB8wTHTbYVMLkOk4+VSOmAwJcyr1psbO7g6JWgshDYxkhlTPof3Q/bjZEfIrW0TNGH3Xx53LY5erFPaaOJ6HzCdpRaNE+j1kIgGpOKZvMpIrEC832et26CsKi2rIht3jYr1J4EsOmijuH8TwHAyW+wFC9hmdm0VPJLEx6G6uYTWa3zBC78xEAsS+nung/DqBz2q7yUH63V1t03cl3hFkqhk6nj3w2ifjBgJo9zwUVUGTAV4AHFQ2DdKUZK9J+p6TzKzusJSS/MbCRfpewE1v4AOTQh3eRMPPMrCAe12LcEgA+3mYh3NPCYNh4r86FJUGgoDqbgUROgSOdeA7q7bafPbK1YPvX9yucjEa5XzkGB8bjXNaS7BweYXNTIFy4BC8cZOW32PyzFn2Li/huQF6OoGiOUTOzZIrjLFzbYHeRhVzZIxWw2H1y19i8jv+AqmRGPHZIt5eB3F0FM+bZ3vlCrgdYhWBzGTpVHrs3dzETCbwLQvV1HG7HfY1CnRDJ1EcwbFc+uXKMPoOCAVVMzheKOJ5AZ/e2mWh0RoKjXBnnlEGT8JgSCyHiZTBKcwU4jQRzHkKOU3BbvXpBoKx4iRbfcGe4jG1VcEJQtqqg9qPMHr+fi65FpOJCKJSGUjrHZknef8Z+s+/SkuXGJkIXsdG831MM4realO1emQiMTpJk0TbxGpXuRF4NDybQjTB96QKlLo1XrB8XLGfIjYUJhH7IipgKBrRTJrj87N0ey6bzSprjSZ3iPfw0+Eqin1CHWhA3CXRdz/eEWT6nifOcOvaIuVym54doBsKCAVTF0Q1QaO37/cc3ASKEOTcgGoQ4p8/zQvra5T7DSTKMKg8aDcyIALlwDIRQuAPyfbAVwYDK1QMHw/fEEP/KVISus5A21LKQzGXO+/NRCJk4xE2ml0qVxZpZO5l17PoVKvIShVvaZns7ATppAFBjtiMjplP0nr9JYSic/s3P8OGZxM7cz+pTIp+6OAHAUEyQeH4LOtvvEr11nVSZx+jkFNIHR1FnxxlvNxCOT6Hk4yw+eolYoUiRx8/irW8iJXIsfbc84ShJJ7O8J4f/0mS+Qiv/tbvDCxksS8qI/B9n2eWNvmyY1G1HaSi3Tm+A7IUd1wy4dB6P3DNDH4/PjuJkc/gxfMUyi32Fm7jpE1eKmWINrvEL62QCH0CVeDnUqRzRdY0QbJSxf70Fxlt9EgePYFRSLH+wgXUZgc9Gye2usNI16YxXkL1AnRNZ6w4Siz0cHttQkVSiiYpaTrNfp9u4JGMJHhck1hKj5d71qFjkaiqIK8q9AKQgUf54uuUtjZ5bOYsfq3MriKx9yUZDiaU4bHvjx8kB7KOB+l237774i7+fOEdQaZnGk26D93DjOcS1HvcvrWC4/SwXR/bk4MofCjY176UUhIoKtGIjloapXrt5iBXNRx6O6UcLMVCgHDQlndIqhKBqigIIQiHYhVyX2pt3xc2eDEMTMB+iasQENd0koTshRJFgagq6HkBj+ULHC/muDlm8ZSjMeJbrCgWidEkyfFR0iEEXQ+DFKaikp8bZfPVV1HTKSbyMSIxm72WTrNcoSOj6PEQKVREbJRbLzyPVW6iRDXMao2rn/w0pi4J+w3WgWI8R+2LLzN5fBbH3cVdeJWUI+lsrnBeF+yNj3P+8cc45dSp/eazfGSzwlomwXOtLo4fDjMkBDvtYV26UA9NRMPjVw6lle2L0exPPMNgYTybJv3gvTjTo1yOxwm3y0TCFkYuQ1+CU66Q+c5HsK8tY27vksplqJ6ZpfvCCxgnZ6nMTqEacTSrj5o9jVbtY6cK7O2tcTqRoqNAZzRHeq+JEjdJeZLAC9DskEoiypRqkFYjSGudrNBomhFst01eBGiKHAQZhyglVc5Jk5edDvvddbrdDn2/xz2RGDuorPfsQbDpwId+aHLZn3wPZzMcdiGICEj723OD3MWfC7wjyPTzq3vs3tjk/U/ex9kPPsGJ+8/w9S8+ze76NooMyacUWj2w/aEfVUC36xMEHmarx4OlOAt9m2ZzmCuK+EYLIQiAACkCUDV000BTVazh9w3ImgEB71tZUg78aaqCFtWIRE28bouz8/OcSRW4JEKylsPm3g7Vep1ZVcFwPT5w9BRTe+tUpE3KdrBUAzVqUDo9yfWvvIa7tUgsnsDomURGSqRyBeamRnE2NimHe3SWX4FIknQizbEPfyftWyuEzSqzmRx6RKXvdEl+x3vITU2wdmECKXT8aoP7j82Tbra5sbyFf+YM1XqdzLgkYSQ43rOZ6bm0SgX6p2ZR5saZUhS+c83ji2++zED1UB0cvwyGRCruuAoPktvFocT88BsvIhI/kCy8doUzvkVVqghVxc2kmGx2qZeyTDz5CL5nsXn/vYy8fAXTsvGXl4ioClVNoI8XSExM0X7lIsbWErOaQj0Sozd7nBuba8ybUfSdMkLV6WkOFSskEtMpJNNM9jUy43m+1t0lVVOYskI6nTKz6HR0lQ/PlujsVqgEAe0gxPJD9LhJUtMIkUSRjCRzpNwAPZHB7W5hRKPohkqv00WG+xN5+PbDPkSoh8j0Lt51eEeQ6W6zRzroknnrdVY6FTayGe7/2AewtnYRV97kZLPLlhmwnIty7bY1UOeJqWhpl722ZCY0OREPuWJJQqlie/vLz0O+UEAoKpqmcb/mUrrvCJ3Q5PlLSwSAIhUkPqoq0AwV1RxEd8NQoukq0+em6Dd22Kk06IcKKStk7sMfZS6EyPY2s8tr6NUqdqeOLyGSnaLV7KJabeTGOul4yNw9M8i9GrPRMRbsCvGxo+h6grdu30bJFmiuX0ZUarhWk/4xg972JuPTU2w8fZtGsIuuqMhjJ6l95XkqI0lSs0e49ekvMTFfojV/hOClV1nf3gJDIVIcRbU9Ju6ZxDQzOKksajqBfvEFajGNiOVxdHqS9FKSRqsz1PAMhhPKnXM2cCkPlvTyoPhB/n4CkRKr3mD5jRuMN7tcv7XKg/eexDh3HH2rjDI7jpbOUVgrs/j1L1BeW+NfLS/fGQRXLvGXfvVn0W/cIhI3sV2HTr1DVlaJjE0TmztOc3WBZMsnPZog1AxMzSa7XuXUkSJz2SmuzxZZOXIf87/wCW6urqN5IVOGSs7QqOVi3JM7itHq04xE+fnba6BGeXhkhAZwKlUENaRj1YirCiVDo2K5ZONRUokIDcvF9mAglra/vD/sAzgM+TaL9S7eDXhHkOn7M5ITWpK4avC5y9e4XKmjRwzGZ6c4nx8hNzbDqWaPa16ZZilGwXV5rDCCmTnPdn2RWlLlo3aBo80VdjSF14RG11VB0VCMKPgOUtOJhy6Pp1XeLzRGcnnqqTTxZg2pash4hJu1NjvVLp7jYTUdQq8PvkMsm6TwyOPUbr6JkWnjdpssbN8iff0iU2NT7AU+lZkx4jPjWO0GiW6d1vIahVQCNxul5AaYnZAmXWxLIHot6hvL+Mo60VwOWUhj13fJnz2H3m4y1+oQxAQ3dnaIHJvFf/ABnMBBIaR4+j5kp4sMejz3j/8NVqOF0TpDMtDZOTGDbtcZHSmSzZe4ffs6/naF5N4iq4ZCtN2g43YppKeYyJdouiZqMoZiu0g/IAz9QctW8TYW8B3w+mDEB5KEcj9Van+ZGw7JJaRVa/H5xjUm0mni8zME952md2ycZHoErd2j9eYlJm9t8K+3l3/fOPiVn/gpvv8f/i3y6RTJjkffs4gqOtbyTYyTR6gnY+Qn7iVc3SCWjNFpOyRKY4hEiuuNbd7M2GTqM3hBiKVKzACul1RWZJLPXV8mEYsxmkixutPECeFKGPBXhYk6USDMjuDg4eIR32phCEEYwvl4nNm8yWs7FS75Q0WofffGYQ4V4g7BCuUbJvG7eHfgHUGm545MsVmu8Nz6FtutPkiBb3us3VxiN7GDdu405uwkY5njPFqvcaLr0I+qbJa3yZUmcN94Aztm8r6RcfqtDsVRyVc7Aj83QwKVJ3be4mLC4KlMiYcyeWrVMgs3buFlsjx1ch5v5S0u31xmqytwfYlEHfhRZYgMA/rVCi/+9M8w+cRDZKfH2fz6DY790PvJ3nsf7Zfe4nZjFSPwOX/+KXqzY8QiNspWHd/uoSQKdPtgb2zATgVZSPGs5aKM5RidzLO5tk1MxFHtFqmxOWa+7wNkf+vzXDY1hGPTXb6N52nEc1mOPfIo7QDCSoCza+F3+rh9m2tfe5XFN69z6mPfyeRjj7H79ZdJTx+jePQ41luLBAZoG3t4M5OMjJ/g0fUmb6ys8Z9u3qLd6aFE40Pxj31LXh4E6IRgoBlrJgdpUsBBRPvAaj2UViYUEhGT+8cKqGeOQaGEE0jUZpvw018ksrrBv9pe/APHwm//bwNN8b/6vvcR1hvsThSJqAZa36b50D3kb18dpLWpDv2IgR+NImrbyAfuJfrUY+x87msERpyslPQVyUrT4vN7dUIfXMdB1DYYQZJQFd6j5SjFE9S36mx5AanCCGp2lO5ShSAc+NjNsXFyDz/Ae7/2Irdv3KIXeBzUzh4c977k4x3/qqIbd7qe3MW7Au8IMr26tcNXF9bxw0EVkjAMCifmQNVJpOKkHn+Q2kiGbjTHtf/0JXjffcSWV8m1LO5TC+QTx/jE5kV2U3FOP/Uk5wLBjOLw3OwZnMs3uDdvciyXIXAdrq0sMZ1MMx0Hd2ubTruMKzzipSQfSPeI9QLqTsibDtT6IfsVUIFjU7t0geToU8ydv4/S+ccp79ap9116VgdtbITLGzexw4Cfr/Rw3QDVB+FJdF2l1mkSxn0m7htnxBulVl9BRtJE0z6N7RalM/ew+HufJPXIw1y//wHA52hxgs7eFl0RYjXabF27QGunxvQjj5B/31GMT36OXrM1qOSyAy7/xheo3X+K6QfO4Y3lSE6OsNtuEdnYoDQ1SezESbj3AT75c/8/XrzwBp4fgFAJXWfgO4Y7y1MhBoImggP9V+Abg06SQ/m4oCgKmmlw8oNPMPnIfXTvPYtqGkRGSkS3V4m3Lf7l4o1vaUz8+699jb99/j6a1QZjfZ9yt4vuW1g3loil0vS2qnghdAydjhKj7LvUtqtsaTrVhx5iLpUisbFC3XVBsRB6wP1xk4cDE1XXCZEYYxm6kzMkK0myvS5RzWB9eZWIZdMKIZOIEdnYpG5brNaqOOEhF8hB0u6hieSwe8S/q2v6bsM7gkxf2S6DpiCdgYKTdG0C36d45gyjI2kia1v073+Ar/7KZ2l2PUbLNe5dWaTp2Hz1iRQTuQgPqafwjIDFJJQrKkfnp3jUqlNImjQbffKvrxCbG2dpJIp+7zmaV65ixxVmUxkW+jXi0Sinx3NEejaBDZ3NAVEiA6QMyRyZ5/G//mPs3rhO8tQklau3oN+l4Dr0DYN+wyaSjZIZLxF75An0dpsR3aSmQPHocZb8Pq3dHYSI0e/sMC102jLByNkpwguX2fnqF9ESSbaby8QmHkAbGcGfOEZ1dQstp5PMjqDHM6i6jdu4QX5unIc+/hG++jO/NJQdUAksj62LNzGjcWJTY+ROniCfFkTveYpoV6EeT/LGv/lFNl69OKj8VPVBbbrvHVikwlARqk5oOXe4QQyXrgfpP/u5locS2Rnoe2amRpm67zTVmXEU30dLpFCkSyuw+dlnn/4jjYvQcZis2sQiMdJJhd29Kpamk5kcRyqCkb6L3emi92oYX3qW2oVLhEdP0zdjvB5LsL5dxZQuiqZxrJDnhGUxm0jRjehoukYYibG1vo6zUyHMJJEPnWH+pWs09tq49DlhKiRjSajUmA0FWVWl4g+P+xsIdP8cDF/v+5eVCIR3I/rvFrwDyFSh2e4PUlAU5eBGrd5cpLW+xczUGA/PHuO3b68RSIVSeYnEZ64T0Q2K546A0OiPebwWtLHqDq4zxnjCxzQMzrkB88u7XLdrOCMGTr3NyKksO1srOLaFYUjWei2EDIglk2TvvwdnZZmGEkNvOAhaoIAeNbEaNfY2thC6SWevSX/jNjMz5+lMFLk3WSLU4yj3HMer1zHTeU7MHyGfMrmx26C3ukvezJKkSqsM3XKFiYceZi6WJgwMrGabhheQPH0Sskm8zhZu4KCqKvmZaeacHlfXlwjFBDMTJfyXrpL89L/h/f/if2dvaZ0rn/kSgWWBhMD1WHrhdbr1GvHpKZKZOPP3zXDx+mvc/t1foVdr3EmlDfzfF0RShI6RzGE5OwccIdjPLz20vN+vEjuUlytDGBnJMX90jtV2Gy8VJ7C6qBvbfOLj/80feWTEuhbJx54gcvoURVNFvbWAv7iAc/UGqqbSiEVxsklSUqDnkpzUIX3pVTZ6NkuOx3HF4f2ZLHuhTx+XYuCzFfRRRJLIfWcpX71CtCCZGCvhXdyl/9lnSaRSXPVs8vE0D6QiaBJ6/R6ReJzpiEbLlbgHcTg59C+/rX5///k3acZ4F+9cCCn/fF9QId4e7fij4x9853uR0zkSfoKdkRLqB7+TZL+L+tKbKK0t1mprHD/zGNkXrlI5odP3o3iqix+N44qQTL/DqDGJlVbJHDnH0voqK40Wyxu7bGxu4/Yc3G4PzTA49vEPUbvwEsiQufMPMl7Ic2atypVGGfn4w6jpGPGmy3RUpyYcKgubRPMlQiF447XnIZchUYiQOnk/7sXLnLy+hOs6PO05FB7/DlIzksbrV4iaWSbG4yS3O1TXu5RPHifo7nJ+rcJ9VYvREF7/oQ+zcP85nv7v/xcaO/VBP6Zw/wYHISRmJkV8NE9jcW2g63mAQ0UL4tDSVUrUeIzQcYZpQHdybRVFIdwn4AMy5cC/CoJkMct3/5//EDOdot23kJEIv/2Bj/+xrus/PnqW/I/9CHqxxHbaIJ7KUvvVX4aF2/iJBG67i5lMoknQDA01DKnqJrHxMcxajerCGqgS8/gYIystRtyQ2xmDiUia3WIGfXEFRuDkQ09i9wTJV66ilst8PnT5iuPyN1JJRiQ0+n32RICjSjYdm+dqdZoHalOHLNKDx/AQr7rf5Mju4s8zpPyGhPMDvAMs0z85/venn/uG1z95/S103yf9kYdpSJ9IVSeotemNZmkUxghXq4Shj1Icw9lYZnu0hF+apGy3YOE6AZDQFHpL61QXNwjDAEVRkEHIyhe+zuxj54lkk0Rm5oh6ITecbbbqXSq/+klGpkokYwkMYZAZyXBtbYFuq4Hb6vPAhz+MY1pYrkZrfYWVS68zIRLc23HoThXIPvEoTcehqa3T73VRnlmglpnF0FT85hqy4zIuTMKCSVyaFF98ndpjD/ITP/Mv+MTf/fvsre2CMpCFm0zGqPYd+vUmdqPJQQrPviU1JFDD0Ejms9R2awfLeEXTIZQErs1BoEXKQ4Izh6xU4E5er0RVFLRGCy8Rxaw2+PX/+//jj31dbxg6s5//NLolaZ+YZvx7vpe6oaPEY2haDE13CdptjGgUJ/RRR4uczhWpLy2TTMaZmD9CzTCo9pu4xTxv9ttMajEyc0eYrq1QdV1uVELKu3XihSmKdkC3kGFrc50zdpdGYOMIgS0UkukUqu1wxkywEXO51GtjmCaObQ2zGw5ZpfuxOFVF3nWdvmvwrXQn/SXgu4GylPLscNv/Avy3QGX4tn8opfz88Hf/APgrDBLu/raU8kvD7Q9wpzvp54G/I/8LmcX/4cufA+CnTeiroLqCo5cX2XvfeTw1it2rsaCqjL76OnERkkmlSfdDKmtrsNtgZnYCt1JFWj1k6EMYEoYDMeHm4hrNiSIZXWfzk5/iuqLTXVymOFni+Aef4kgyyuLtZTZjJgv1LVqpOM3dHdZfuoYmQ6Yef4A3P/M5xh97mPy996NakpGrt4jrKtdffoXO9iJhxEYmddp/4UHOnv4glWaD2NrzFJb6jPsh2b06z9PmWjZGbnWF2KNP8f6/+pN88p/8S2LRCO+79xxHvQ5fWlrn5u7wEu67UPYxJD9TFZw4Oc8re9VBGr4Av9dBKN+oawDDTgTAN4hnH7xnQCSKqpHarvB//eW/9Se+jpf7PY4HUdqtFvYbVa4HTUItyuTRAno1yUavg5ZJoRgK1nqFnipp2l20eo1OEBAfyaNPzZG8ehHb6hLre6yKJpFXXqT8nhJj80cpffoS68EK0ukxY0bY3tpkyg8oZgoIz6YZ+KiaDq5L1A/xogauEMgwwLH63LHc+X0T1Z283Lt4N+APXeYLId4LdIFffRuZdqWU/+Jt7z0NfAJ4GBgHvgocl1IGQojXgL8DvMKATP+tlPIPbff87Vjm/+fw9374A6QrMY6FsDAxwoanYrbX0d9zD9MdC6++C67GXmaMjrPHTqdOqZglvtXnM2/cYmG7Oii33G8cJwTRpAGKIOhZTD32MLnJMcbPHsW8vcCkNDE0g+fbO1SqZeaeeg9dL8bFf/er2I0GkVSMSCrJ5P1nyZ89wthmBUMPWcsYqMY49YVbxLI5wqhKppBm4ugZLj77NMVEjMKlm1RlwJgeQeztsj5a4sGmQ/h/+4tUkjk+9b/9DL5lMzk+yogRsLKxyc5W+W3L0cMYnHpF1Qj3o/kKQzX9QcDpoDHhgTX6NkI9lMePgNKRaXavvvFtuXbFsRl+bHycfLlGz/doxHX0+QLKYo0ukkgyij4+RrrVJFzdg8AjTEYJJrNE9QSKDZbhYEqoN/toPR89CJkRUdxowJsj8IhvsiT7eHbAPfFp2rt7tBQJlosaj9K1+vgywMkkmbRCPEJ+ubzNcq062MmhetTwBboi0FBwADlMmZJB99tyPu7izwZ/0DJf+WYb3/bB54BvtdH3x4DfkFI6UsoVYBF4WAgxBqSklC8PrdFfBb7vW/zOP1X89Ce/SqyUY/PIBHXTozCyQTieJLpVQY2mqTdClNUqWj7PudwsD7oxJuKzxGIpUunkwG94UKM/8El6tkeimKV0cp5Tp09y/PxZDEUjTCR5fXOdi3u3GTUMkhMzhKFJcrw0qKgiJD1dwO11WHjmeYJeB7e5y3qlTLJj0LEDjNES+cBjfn2PqKWx+qVniWh5zKuXGJGQmZ1HmTxKMp5mypX04xq9Z59B+8pvUZwcIej3OdspM9qoYLd6SAmapnFmbgJNHarlHxZJFoIwCA5eC2V/qXpHuEPwtvlODgW7D8ejhu/5dhEpQF9KXuy26YiQSKlATDEorfVITE7wmBEna3sk1jZRKk3CiE5LStr1Np3lbdq1KjXXot5yqEgFzdAwklGMMyeRsTi1roO3WOONuEauIRlr+tT8HtXpEu6RabqZKL6qDKrGohHUZIzdqIJrQk45XPm0f99JNFXhgXSGHy8U+KFSkVOGwnlT/YMP8C7eUfhDyfQ/g78phLgihPglIUR2uG0C2Dj0ns3htonh87dv/6YQQvw1IcQFIcSFP8H+fcv4u5/4ZQxCQiOK580QE3lSfQXthcvEFBVzdp6bisEnd2tc73o8/fIlfumVN1mpNwE56CO0L4BMyGhxhLH5I3zn+z/IzKkjREMfNRnl1tISVV1QQeNsLMljpQn63TaqqaBogvjoCKd/6Ae478d/kPn3P0HQ7LAxnaesqXhBnwndYaLc5/iFN1F7NjMPPYSbMojre6gYBK4PhkFZl7QSGrlMjOjYOGYkRrHrcjpvommCQirD8aMzaPqgdbbvuFiqjhEx37ZEP6R+dLA8HahIHY7eH7TtOGSZ7ovDCFVFNcxBemq/wrcToe9jaQrZyRKukBgxg91YhHoswvZICsVQmXB8hK7SVDx8AfFYnFSgoXY8wloLXYuAB1rTQpQKxI9MszFdJCyNc280wWarzZc7XXKKwWRLRRqnSO21yRRGsV2XakSl++AZYqNjxPwQNQRPNTm8nAc4HY/zAyMFTiBRbItxz+NBw+SMpn9bz8ld/JfDHzcA9e+A/5XBXfa/Av8S+Mv8wWvFP3gN+c1+IeXPAz8Pf/rL/H38jV/8Of7eP/rbSHMcw+rhbbzFfD8kb/W4+b0P4mg6ewFcvLVMZ2d3uKy/IxCtRiIEdh8h4L5Tp3nyxGkul+JURkocf/RBNjfXSN9ex27XyU2OEg0z9JevEsR0YqVJjESCxu0lti9cZP7Jx7j3qQ+y8cqLLCxfJZbNgGFzZH0Z144SielYYwbrr32dzNYmDcPCn52mHusx0tnCM8aZNJNML+7CWMhes85ePkVM7RONGfzH64voNyQtyx7uPSzfXuZOZGTwnxodRu2HrWD2peX2dZDvtG45fC72v3FowQYBoe8jreq3/Zr1G21utNv8aj5HT0hQBb7rcU8ygporkDETVDcWUAKFtNQIkgak01idHunz9xKurdGtV9EmxpCaQTyRQu7W6V+/hkjFaMdU6m2Xy1ubnDx3mqPdGsbSBca7DVrSI2JGUHoOztUFRCpFUBjh2eVlru7tklAFcSFohhJHSoQZYSyRwKl7JFWFeSOOHio0wrsRqHcL/lhkKqXc238uhPgF4LPDl5vA1KG3TgLbw+2T32T7nyv89P/n3wLwT/6f/wP31jVMNcrCbJrtWJS3nn2d7vISdqv7jbPAMFATOPYgog1cuXmLE8fm2Wi6pPoNLn/9GZJjBcy4wbyaZZo+N68uUn3wLO7yBr3KNkIFPZkjd+ohwl4X17dZ39pmdGqelBlB316jrDroikTXNGZrXSpJl1BN09XTGJlRWnaHameXWGuN0dV16rE02WQMzasg0inGIoJSoceNvQZK0gTLPnQQEs3UMaMmvdagf1OwH0A5gDiQoxvKRd3xlx46F2/HnwaRDhAS+iE39/YGFVkI4hEDv93lmZ5Fe2eXDybj7NhdOpkUuztlqns7eK7LI4kop+MJJp74DlpXLyN7PSoX3iQtNAzPo1tvsBv4XK3VkVJiRzS6qkK/tst6MctKKUZruYwS+PQUqNVqkE6xZllMROP8hWIRVdW50ajxYrPOjXqNwAv44XgaMwxQpWRE02i7d8n03YI/FpkKIcaklDvDlx8Hrg2ffxr4dSHE/8kgAHUMeG0YgOoIIR4FXgV+AviZP9mu/+nh7Bu3udjY4fLJafST4yhxk/TMJJkjE9R+8dcHJtmgP8pQST4cPApIjI2Q/fDjbHzscRq//puUpmaxEzqZmWmy8Qjeb3yR26NTxL7vAcTlVzn13d+Nn4lgpLN4C3sYMYVYPE97+TZHMwncq9c5f88Z1mRA2kigZgU1J4HIZuinIfQU2r023u4W6ZF5+q0tTvsK+ViBKc/ljJXgGhnWnQ6d3AwyUkYi6Da6d4hxyIuaaXD6fQ/zxme+Pug6eqgG/07juDsPd6L/3yQNaj819du8tP8GHOz/sMJKUQgMk0gmx8brr9H3PD7TbaPpOq12D6fZODjmly9fIjo+RSQEw/PpCYkXM9lyXYoxk5SuslKuoWoa+WQeQ4sSKY0S12v80uoCi5feJBj0GOfOZBQhG0/yoeIoE7EkTlTntKFxrd+nE/hEhUc+kyJtSyKqwVavyr9r7PxBR3cX7zB8K6lRnwDeB4wIITaB/xl4nxDiXgajaBX46wBSyutCiP8E3AB84G9IKfflHP477qRGfWH48+cS3//c7wLwg+85i91sYkViTCVc1IlJrpkaEEXVNZxOjwPWGAahHvhvf5iTP/JxfKfL5COPUW03ieoJNr7+DKYm2Qq7zEcNxhQV46MfwUsn6e02MXMZZOjhrN1Gue8xbr3xGtPpGFYmDQ0b7cwpYrfW0PdsdtMmE1qSnhNiW31iuslUPs6ZqI41kuJouUH3/ElY3uCtegXZ7nCvnsZTfNZjGjdg0GlAFeC7B/tvdy1uvnT5jlr+PvbrzL9ZEPPtCkmHs6v+NIn07X9suC+eZbMbuqiJBDTbNGwfablI3x24KISClCFOEPD09gbL3TbTsQR+KJkKIWaoXJYhot1j2bUpzJ3kw3/z/01qbYW1y6/wle11VnZ3CA/3AEMihErgekzEJLF4jK6uIRtNNEWQM3QmjTiPRFM4ns9bdo9kLImhmH/K5+cu/izxh5KplPJHv8nmX/zPvP+fAv/0m2y/AJz9I+3df2H85s//Ij/8//2/sJZuEYmnMbbKRHM5EtPTaKHL+ouvE4aDoIximIRun9beLrouEFqU9PwU8XqL3vYmWgQCJUpy9iipk2e48bmvEnansLoNNi4vs/rF5zF0le033qSxV+bED/5F9NomU9k4jamjKHafNSNOKZVhTlEYbXic8DR6bZdtUyXeqrGn9amXCkQ1nYmbt9FnjhIsb+CfPI6Im9xYq3Hx4hIHrVWECqoBgQuIQYBeUYkkYlidPnd8qIei0kNiHTQ5fFs+6eG4Va/8Z3SVQKh3UtOCICQUGuc1jb1MkrTn4dk2N0MFOwg5m0yx2O1ghT5u4HOrUeVWowoIVKGQjsVouy6B54FQmZoK+f6PPome/Si/9jtH6f/00mAiOhyYQxBTNY7GY3xPYoSw2aUf9Ym7AbEg5PsyBXp+gKkoSN+l7dh4nse/qK7/mZ2ju/jTx38VFVB/Enzyb/zN/397Zx4kx3ne5+fr7rmvnb0P3DdAkQQB8BJNiBItm6Slkm2VIjkVWy4z5bLKqsiJVRXFTqWUqiRVcmI5ScmlsqywJMXRRUkUaZM0JUoUSYkAARLH4lgsFtj7nN3ZuY+ePr780T27syBBAuBisVj0U9WYnq97ZvvtXvz2O96Dj3/5r9EyKYyzA0Tb2gm1NZNoS0KxyPDxPrBsbNMRpLmzF0nPjRJoaiEiNYI7tzOngjIyyIaPfoSZoRkevH0fbZu38Zxd5ci3/oGJX/wKaQsCLQla77yDHQ/dj7p1A0FT55GxMt/92SGefeU1Hr3/ANvDUQqmgVExmZ+VTGpRzk5mmPcHmZkaoPryYc7fexcfOnAHd9g+tpdUXmwP8o0Xf8H5sUlqlgTFh6yXGVEEQqooKlimTTmddUJCFxBOyRfkgu95MqARVhUmS9WG1sVXWZphJVAE+IRAty2EEPhUjS2axuZykV3ST1QNYKgGpViSsdQUdg02xOIMlItOmZvG+QihYCGZL5UQioJEoKgaqj+IoRvcFvSx+0MPc+S5p0n197uht3XPBZvbmpr49XCSmNCwhSRnVCkrNkn8tNiCcatGRlNJawE6AgaKF5e/5vDE9Ar44b/7cz77r/+AkeY4rTVB50P3MT82i+X3u+WQXRcioVBO5yml8wSaIkT37SCfnsMKBpkYn6EpUyLc1M7zr/yc2++5h7m+cdIXxinPZfHHomx8cC87f+cRlK4W/LEO1PRJPv/Sy4ycu0C1VOYfX3iZ1H37sao1kju30jc2TTaTAlRMWaYwNY1fQKX3NN87c47T9+3n/nu38PTzL3J2aBTLtJxelSZA8S1UD5WWie2W3bDNemkXB6GqBJpbqM7Pup1SyYGuLuIdUZ4/cZ5yxfkjAivbGwXQVJV7m1o4lJll6+aN/Ho0yaZciXRLK/ZYCl1RqGoq4UiUrkSc3NwcJ0wT2++HhRR4csmrGgwibIlQNTR/ADUQ5Gy2QEx2Ek5ohJub0YJBzKrEMg2wbVRVo6utA1EymJI1NM2P0taKUjWYshWOmSY7TZvjmRIjZpWDUY0fTV1c0Xvlcf3xxPQK+crXv8XnP/en7Ny4lZOTo8yfGqCWcsWjYRhcK1SRSgCjUiM9MYSihtGScZL77ubl//4Nkru3cuDjj3HmYj9zqTSpk31IFDr3bGbL+9+Pv7sTpXUDyvlhTv7oWc4fO+WUngaK5QqnZ7NEWzto2bmXjXdIys+9SPfe25k8dY7C6AgtrXF+d88uDvdd5MUf/zM/8/nQi05ROOkGFgjbWIwJdyuq+iIhEFArV4hHAlRNC6EoGLqJPp9eyHAkpc2hiSk60j5qNXPBbllcmd5oI6Zlo/p8dCcSfPz+u2k+M8RcW5BjhTnu3rkNv6aiz8xRaIpjZZ38phMz07ytV547B2pVKwhVQ0iwLYvUQB9HDp8hnc5y7OV/5vyzz6JompvQxZnyUDSVUshPLZFApLOoUhAWAqMlzvn5HKlqjbQSYndcENZrJDXPUX8t4onpVfA//tff8sAXv0wyrhBNxCnFootCKp066dX5HOmzI0Ta78SuZAh3NNEW3870i2+CarDu4F1kh8+QmTcY+MEL5IbGCSVjbP2tB2m6+3YC7S0oRonpoX56z/S5Qro4HJVYtO7eydYPP0xmqI/T85OUx0Lo05PEutqxzBpzsQhn8hnuDwYYkDaTKNT9QJ1S7hIsN3O+7QhirVR2F9EkhiWJtCRItDYz2T+CYZiut4IzNC6WqxQrVfeSlBUb1l+KLW2KlSp/FI0TLpQpVItUY1X26DFyuRlKmTw7HzgIra08ODVJJeBntiYpWosp7hfvzCLSMpGWhVB9VAo5+n/yDCd+nGbk8KsYlarrbrsYaouicvTCBSI7d9GejJOIBplvSnL8wgBl3aDTsrEUH2+aglZ/lMGQt/C0FrklUvAtN5/4xj/QsnUdr/z9N+j7/gtOSKkrNkJAx/37Ofg3/xZfQGAbKme++jQXnn2Rff/mXxLv6STcs47Uq8c5/D+/jmUYHPyLz7Lp4x9ECwUQSDK9pzj0X/+OiUMnF92XECiagi8UoW3XLrr33sHUkZeZOj/Krt072LVrF+czc0xeHCao+YhkC3yms5thYfH90TGmckWkbSMUiT8YpKO1hcmpFOZCORIF4dOQlulUXhXOnKFUhJMVvnHBpcFdaqWH9o2o/jAPbFrHJ3QNPdnMeNQmYVvIZAf65AxNUynCD9zL65Uy++/cQ+nFVxgaHuW7mTS6ZbErFmOHFuC5TIqavLSGiFNJQFE1tGCIWqXkVhtYuuAm6vfBtlEUgU/TUH0+lECQctbJDXtXZxc7N2+jND7JhGnx5juUZfFY/dzSKfiWmyf/8F/Rvf8gM+eHFt2I3GggiSB1tJcj//nvuPc/Pc583yDnvv8Mpq4z9soxeu7dT2ZwkoGnX8Ko6HQeuIMNH34AXyCMLXXCpp/+N/qYeuPMWwaj0oZaqcR0by9TJ49jmU6v8nz/RaKbN1AulEhfGAYEiWiE2c4W7qwJrEQT3+o9RT6XR9E0Onft4qGmKM8VCsxmDefL3fUY4Wpm0KcS1hQyukFdQISiOItRloVE3lAhBQhHIqwPhxgUBqI4R1PTOsIb1xPSAoxcHCLnU7FCYWb6jnE0PUn7VJom22KnpqL7fHzgrnsJnjvL3kiEgUqFjNVQChxnSsO2TGrl4kJ47KUshNUisG2JbphQ06FUcs8QkGyiGA3S3tmKmM+yfNkJPFYTnpheI5NvvgL+ThYGifVFKMC2TEZfeI1aLk9lLo9RqRJb186OT30StVji3HefJXN+CDXgp3NXDyKfg4Bwkhz3nqDvBz+9ZCFIuB1CR+nMms5C+JFQqFUqvP7UczgRSgCSQrnCG0aVaGcPLYMXScbC5PPO3Kld07ktvpUX/L6FaxfgzJ8iUVSFuzZvZGs4Qu/EFL3pNIqm1ecIABNZut4+pO/OHzY3syfazXCwQFI3qGazjJs1DMMg1NwMaoHy4cPcV5NEpUG0rYPZQpaPaUHSRoXYqROs90cJRJK0KwF+VcqSWZgCcAMB6gmuF2IW3mGgJBQUVSEgVKqmuTCqODMyzMDMNK3hEENjnjvUWsUT0/dCbRoR7HCGf40hlVJiYzP1y+POfzC/n9se/z00Xw05UaAwOYdtSzb/2l1s37aFoed/ytaHDyIUH5n+CyRv30xmaASjVEaoqiOkVmPPqMG/s55YpOFfp5dk8/JrR8m+L8cj2/dwZyzO2PQsWiiIISy+OXmB+VzBLYon6IhGqNgWLYEguZpOINlM55ZtZIWfgWLBWfU3a2hICqtASAGSJgzftgVbg2xznKb+IWKvHUGxBRWfD2nZhDe2Mz82g1Ws0NKxnnYBw7kJamaN5lCclF3DNGvsCydoD4f4zuw0lrRREASEQJc2VXtxoe3ySAKK4EAkRk9nF/80OkS5UkUoglq5jF4qUcy8l7xCHqsdT0zfI7I6A77W+jsauzFOR9JJ9DHw5HN03XeA7LFzZCZHnNVxTaN51zaUYjcjJ07R5fMR393D3b+xj+zACDNvnHGc0UVjtA0N++Ky7yWgV3TeOHYatSlJItbEzt98iNFDRylMzpLKFbHdRah4LMzvHzhA0lIYs6v8uP8c+dFRqsEwg1aZ337wfpT5NIn5HH97ZvUMUovJGNXdG/HFmlEvDFMxDBTNj6KpqLaFrOoMZuaJB/2UcnlmJobZuGMzW23B6fFh5qJBfCj4ZJiiUSNpa3w0GiUUCOOLJPArKnP5DM9kpqjW55YBn1CI+XzM1/Ql1xMNhAg2t3M2m6NadY4pqso9+w8wMj7O5PjISt8ijxXEE9PlwHATeWjNDWGVi8InbZv06X7SZ847FT9REdJm7NU36NuznU0P3c29HV28ceoEsW0bmHjlOL5Y2PFhfcsCYaNoNsTLNwqrWDzTtiSv/+yXaEGN9p3bqOYrjr9pfcFFQCwaotwR587EOlonp5jYIzg/l+KVuRniSPaXJKmmBF969efLdceWBX8sjtXVAT9/DTMZxVfIUQyqFIslNMNCs2xaMmWqAnRDZ7SSRzdNSM9hmwZquYqiKJR8CsI2UZHcsb6dcjxIbN7GtgSJtjaCtQrVQpaYKvBrfnYFAoT8QX6WmlrI06oqKh0+DTk3i2KbhINBStUqtmkyqVcoGV6tp7WOJ6bLiTkPvjaWhGG685zOGoWCQDgJli0nj+jRbz+DGQ4xbFTIz86SGhhk+ngf5dksC2K5oJcNbliXpqJd8HVtrN3uhNNbto1VrjF24pyTnOWSfKWTEyme+OE/ktm1lX3tm7iruYOXe09SKpS548MfJL97O1/6b//let21a8a/vpv5kQnC/gBBq0TgM5+k+MWvEJUCW9OoUkNRbUJVk7CiUTVsAqkMCUWwJdxEWyJJOahxIlmDssGcUeOnmTQTMzqPbdtIc7pGulxDM2oIf5S2RBOdfoW7w1FqQR+HS3mKpTKakARVlYc3bWNzvsaUNDgfFLwwOky1XGbk+Ane6oDlsdbwxHS5MWYh0LX4vp6Bv54sBCeqSNpOFc9KOseJJ77Pjo9/mKFfHCE3OL7ogtOYqFk09kbdTbD0nCWZ3QVc6lW2sIDU4OLkrMuDorH5fXtp1qIUJ6cxdZP1O7dy7KnvceypZbw/y8iFqQnsrZvg1BmEVSHw+O/Tuf82ModPkoi3YM6mmECnaf06ojNZ5osFEn4FNRFi3rSYyM9QzYI1K3gtZnB6bJaP9GzkIdVGGcvTJQNELPhgIMSvKiVGCwWGyjlOBfxE4zEqVZ1kNM6HowniNkSKedIbelBtybquTrqjEQbfOHqjb5PHCuH5mV4vAt2utjkLPFg1UFRXE+u9Q2XBET4QD2LrTsnohSkC+9IV/cbeJyz2WqXT41yy4tzYc637hbo/d+GZ2wvfIQTE4xFautoIh6OkBkdIzTUWR1h9/PkHHmJubo51pSq+eJT4t/+KxEtH0J98iWxFJzs2yvZogsC+vURHJhifnmTCrLCrrY1SsUIyECQgVAqlMmOmjq4KEnftxDp+AdMC3S3fUjYNdEXhuGLzemoOy6jhTqIQiUT41L0P0D2fYT49y/GoH6u7h9GJcdIjo9QqFbxe6drC8zNdafRJCHaDdEuauD1U5zlYzpC/nrIeG30+6zrVK+585tv8DVkY5ouG9KJ2g8g29HrdrE7OafXjlyxgLdR6clyq8rkChXyJ9nicVHp1CymAbVu0FMuYQiHZkiByug/DMhDhEMnxFDOFPFnDQj97mqaeHrqCG2iemERXFCzNz8T6OGZrgESfYF/zDnIByZmRcTAt12FfQUUlEQ5jq7BvYzcjA0NMDI04z1VolEpFvv36L9m4oZsPrOtmlwLPnj5Faibl3m1PSG8VPDG9nlQnIdCx4NS9KHquX6dtO0NxaTv+jEjHOXzJaKEugksXnqS0ljrrCLfdLTkNbnRO/WcvzKPWC+FJRxDcBC0gkaZTRWA6nVvmG3F9sFubSMajNN21g46SQThdZuiXvUQm5yj6NWqWRdgXQKlUGRkZovr+fSS6k2QqFSrlPNkWSERD6FviPJUucDiV46NaALulCcUwCAiVkC0ohgNMNsV4um+QuekZQHFSVtlOQEO1VKK/7zxDgRHCiTi1Ws0T0lsQT0yvN/oMBDrdN5JIMkY5U3BWhqS1IG6OFooFUa3PiQoh6p1Hh3qXVC7WBBWyYX5UgEBBaJqT3MQ03bzObi904cvcnqldj9S5+fD7/BQ7EkT27aD485MYQ5PEq2AGNGStQhmLcaOELxikJxhGzWWZDgusrihhK4StGfQGmzkylEIfn2Z+OoXREuX2thb8yQimtMlYJhdTs8wM9FEulHGmZupTKEseDDW9hp6adadyPCG91fDEdCXQp8HfhkCgBX0oikRKgc+nICUYRr2HWP/A4pDc8TN15kSFaBDQhbR/9VUtJ++oFgyjBoKgKOiZNLjOO86MgivUZn4lrb9ulEt5ugbHyeYLVC6ksLatJxzTsCaq5KpltkWb2RCKMV00mOvyYXb4ODGfpjuksq4aohCI8IuTY2RODyLT02DZnM/PMjA85EzBIKkHQDnUAyUU/IEAluFWrWHBs9g5LD0hvRXxxHSlqM1CsINiKoui+WjSFD6diDFULXG2OcH5wQkssz5X2pC42I35RwiE5nN6mk6afOewIhCqAAmKP4AvFgMpMUoFFhaYEEgjc8NMv170KCGS6RSVI0P4w0GqZ4YICZXR+QwxW2NeQsWsYmMTbA+TClgcOj1N21iej+zewalCldzgJDKXgYYIMynthdDd+mLeYqYop0rBgW1baMnkOZaZpSQE+Wq9iqsnpLcqnpiuILI6w+77D1KLxsiPz/ArvcqDkRiRSIiLiliQvrcuPjlzrHZjIg53WK9oPqLrN1Ar5DBLRfTsPNKysE3DGckb2ZUzcIUxz4+S0csEfRrzVYuMXsWWEJSg+DXCIsx8qcDGWIS5dI5AUiUoLHK5Ak/2jZMp2Fizs04dLLl499+KvWQaW0qbqWqOUE8be9Z30tTTQ+/YOP1HX18Jsz1WKZ5r1A3gS3/0OC+Uq6hHjrE9GibT3syTvzqOZdYd/BvmTev/wRVtIQigntlU1uZvkAWrgz/btJNgqQrYyJAfaUsMVUUk46jdLTTdvovIyychk2J9LMl3OiXPnZ5CJjuolUxHSCtFqFUBFWSjqDb67za+uot7SCeLllBQfSq1qo7HrYHnGrWK+PdPOPUIP7bpfWxOJJixbKQtkUb6ij6/5v66XCMRoZK3akQ1H6opUXw+FMNEbWlG3L6DzMAo2VKeRLnGyG+tY+DoeQxLwZorYBeLCLOGoipYmg+ED2oGCEE4EqVaLmHbS0u4LOKWErRtwMZaUjPL41blSko9PwF8BEhJKd/ntn0P2Ome0gRkpZR7hRCbgD6g3z12WEr5J+5n9rNY6vk54HNytXeLrzNPD5/m6eEbfRU3LzPCJChUAqiElQDT1QpSUaE5Ce1ttCRbCKQK2AWd2YEJOqI+BrGo6BWkXkWxawRCGpVqja7uFubnTGq1Ko/edx8DgxfpHbxA4+jAHwxR0/VLXNc8PByuJCfYN4BHGhuklJ+UUu6VUu4Ffgj8qOHwxfqxupC6fBX4Y2C7uy35Tg+PqyUZiREIBShpgowwaQ1GiAT9GGfP4ZvK4DNg/qF7yGsa1UPD3HF8lkdLNR6LBWjraMbSTcqZHJoK99x/gC17tmFbBoPzs9z58MP4AkvLi6y7bQ+BcJh3T8fncSvyrj1TKeUrbo/zLQghBPAvgA+903cIIbqAuJTykPv+W8BvA89f5fV6eCwQKlWIx5pJGSUi4TD+cJhcPkuirYVkJsdoapZs/wVihRwoCsIw6daC+CJNvD43jVNVUGLUdP7px8/UB++cPHECvSnmeE00MPjmcbxJFo/L8V7nTB8EZqSUAw1tm4UQx4E88B+llK8CPUBjfOK42/a2CCH+GKcX6+FxWSzbxmiK4M/oqEKSUi2q4TBtBZ2xQ8fJzqVp8wUIqD6Cmp90pUgyFKW3mMPOZYFFVzSzZiCExBfwY+g6fb94taFUSWMUGniC6vF2vFcx/T3gOw3vp4ANUsq0O0f6YyHEbbz9uOiyv5FSyq8BX4O1uZrvsTzEAjFiwRClRJRp2+a1qWl6J6d43+bNbAuGSHS0UZGw3lKgrKOHIoRiYe5tClFti/HCsV5M4+39QhfDci8N5fX8SD3enmsWUyGEBvwusL/eJqXUAd3df1MIcRHYgdMTXdfw8XXA5LX+bA8PgC/0H4V++Iv7HuAn87P0D4/Q0dXNZCHPsXPn0FQFxRfgo7ffxt1NrZzUCwwVM1jzOcZGxzEXEjbXC+hJDF1vaLv077gnpB7vgJTyXTdgE3D6krZHgJcvaWsDVHd/CzABNLvvjwL34fyWPg88doU/W3qbt73bpml+CYpUtYBUVJ8EZWHz+QMyFApLRahSINx2seScy7cpUgj1htvnbatnu5xWvetqvhDiO8AhYKcQYlwI8bh76FMsHeIDHAR6hRAngR8AfyKlrHuWfwb4OnABuIi3+OSxjJim08u0TBPbakxAAkbNoFJxoqOEovKWJNrufnN7F3t2305Hz3p38UkCLJZ48fB4B7wIKI81iNqwLwGBEIKtW7ewdfM2jpw6SWZ6iqVT+ZJ4czOPfvQT9A1f5MwvX3Kd8b1fP4+lXC4CyhNTjzWKQqNYKopCor0NTdXIzs5i1N5ublSg+XxYptEQ0uvhsRRPTD1uUeq9VKeHurhfp1FMvQUmj3fHi833uEWpz3cqDfseHsvPlYSTenisAbxep8f15WbomRZZTJyy1mkF5m70RawQt5KtcGvZu5Zt3Xi5AzeDmPZLKQ/c6ItYCYQQb3i2rk1uJXtvJVsb8Yb5Hh4eHsuAJ6YeHh4ey8DNIKZfu9EXsIJ4tq5dbiV7byVbF1j1fqYeHh4eNwM3Q8/Uw8PDY9XjiamHh4fHMrBqxVQI8YgQol8IcUEI8YUbfT3LgRBiWAhxSghxQgjxhtvWLIT4qRBiwH1NNpz/H1z7+4UQv3njrvzKEEI8IYRICSFON7RdtX1CiP3ufboghPjf4tL6IauAy9j6RSHEhPt8TwghHms4djPbul4I8ZIQok8IcUYI8Tm3fU0+22vmSnKKrvSGE1B9EScnqh84Cey50de1DHYNA62XtP0V8AV3/wvAl9z9Pa7dAWCzez/UG23Du9h3ENhHQ+7ba7EPOALcz2Lu20dvtG1XaOsXgc+/zbk3u61dwD53Pwacd21ak8/2WrfV2jO9B7ggpRyUUtaA7wIfu8HXdL34GPBNd/+bOIUG6+3flVLqUsohnDyw96z85V05UspXgPlLmq/Kvsbii9L53/eths+sGi5j6+W42W2dklIec/cLOOXce1ijz/ZaWa1i2gOMNbx/xwJ8NxES+IkQ4k23aCBAh5RyCpxfWqDdbV8r9+Bq7buq4ourkM8KIXrdaYD6sHfN2OpWKr4LeJ1b79m+I6tVTK+qAN9NxANSyn3Ao8CfCiEOvsO5a/Ue1LmcfTez3V8FtgJ7cYpL/rXbviZsFUJEgR8CfyalzL/TqW/TdtPZe7WsVjEdB9Y3vF8TBfiklJPuawp4CmfYPuMOf3BfU+7pa+UeXK19N23xRSnljJTSkk5m6b9ncVrmprdVCOHDEdL/J6X8kdt8yzzbK2G1iulRYLsQYrMQwo9Tb+qZG3xN7wkhREQIEavvA78BnMax69PuaZ8Gnnb3nwE+JYQICCE2A9txJu9vNq7KPne4WBBC3Oeu9P5Bw2dWNXVhcfkdnOcLN7mt7rX9H6BPSvnlhkO3zLO9Im70CtjlNuAxnFXDi8Bf3ujrWQZ7tuCscJ4EztRtAlqAnwED7mtzw2f+0rW/n5tg1ROnwOIUYOD0Qh6/FvuAAzhCdBH4Cm6k3mraLmPr/wVOAb04gtK1Rmz9NZzheC9wwt0eW6vP9lo3L5zUw8PDYxlYrcN8Dw8Pj5sKT0w9PDw8lgFPTD08PDyWAU9MPTw8PJYBT0w9PDw8lgFPTD08PDyWAU9MPTw8PJaB/w+76kaT5fIW6AAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#stack and plot histogram stretched image\n", + "\n", + "stretchstack = np.dstack((stretchnir, stretchred, stretchgreen))\n", + "\n", + "plt.imshow(stretchstack)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Much better. Now we can see how green Helsinki is.\n", + "\n", + "### Cropping the image\n", + "\n", + "However, cannot see really well what is going on on Seurasaari.\n", + "\n", + "Since we are not interested in the rest of Helsinki, let's crop out Seurasaari:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/samwitt/miniconda3/envs/autogis-environment/lib/python3.8/site-packages/osmnx/geocoder.py:110: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n", + " gdf = gdf.append(_geocode_query_to_gdf(q, wr, by_osmid))\n" + ] + } + ], + "source": [ + "#use osmnx tool for getting a geodataframe with a polygon representing Seurasaari\n", + "\n", + "import osmnx as ox\n", + "\n", + "# Keywords for Seurasaari in such format that they can be found from OSM: https://nominatim.openstreetmap.org/ui/search.html\n", + "seurasaari_string = \"Seurasaari, Helsinki, Finland\"\n", + "\n", + "# Retrieve the geometries of those areas using osmnx and store them in a geodataframe\n", + "seurasaari_df = ox.geocode_to_gdf(seurasaari_string)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For the cropping operation we need both the Sentinel-2 data and the Seurasaari polygon in the same Coordinate Reference System (crs):" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\n", + "Name: WGS 84\n", + "Axis Info [ellipsoidal]:\n", + "- Lat[north]: Geodetic latitude (degree)\n", + "- Lon[east]: Geodetic longitude (degree)\n", + "Area of Use:\n", + "- name: World.\n", + "- bounds: (-180.0, -90.0, 180.0, 90.0)\n", + "Datum: World Geodetic System 1984 ensemble\n", + "- Ellipsoid: WGS 84\n", + "- Prime Meridian: Greenwich" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#check seurasaaris crs\n", + "seurasaari_df.crs" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\n", + "Name: WGS 84 / UTM zone 35N\n", + "Axis Info [cartesian]:\n", + "- [east]: Easting (metre)\n", + "- [north]: Northing (metre)\n", + "Area of Use:\n", + "- undefined\n", + "Coordinate Operation:\n", + "- name: UTM zone 35N\n", + "- method: Transverse Mercator\n", + "Datum: World Geodetic System 1984\n", + "- Ellipsoid: WGS 84\n", + "- Prime Meridian: Greenwich" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# reproject polygon to raster crs\n", + "seurasaari_df = seurasaari_df.to_crs(crs=s2open.crs)\n", + "\n", + "seurasaari_df.crs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we need to get the format of the seurasaari polygon into something usable for rasterio (https://rasterio.readthedocs.io/en/latest/api/rasterio.mask.html#rasterio.mask.mask).\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'type': 'Polygon',\n", + " 'coordinates': [[[382344.9971561417, 6673616.888177212],\n", + " [382354.17072542664, 6673590.915943632],\n", + " [382370.7947931855, 6673576.2057031905],\n", + " [382373.0829994244, 6673572.78877031],\n", + " [382373.6379052509, 6673567.254306869],\n", + " [382371.5774497742, 6673561.692424062],\n", + " [382368.7605197756, 6673555.218691007],\n", + " 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6673986.778033445],\n", + " [382536.35127173364, 6673950.768498522],\n", + " [382559.02127616544, 6673896.869759583],\n", + " [382555.36606009275, 6673882.588073792],\n", + " [382548.00297180255, 6673865.3605604675],\n", + " [382538.3040004472, 6673845.221229408],\n", + " [382514.27153480775, 6673823.636151794],\n", + " [382504.0913164612, 6673818.256789779],\n", + " [382489.8021324682, 6673803.49176834],\n", + " [382482.06721484684, 6673799.939717144],\n", + " [382474.52016335534, 6673787.543896451],\n", + " [382473.73718465853, 6673777.850846821],\n", + " [382465.3557663964, 6673754.337119064],\n", + " [382463.3166069325, 6673750.123019408],\n", + " [382457.6664778495, 6673752.210172186],\n", + " [382455.3831588064, 6673740.39207876],\n", + " [382441.44290167245, 6673721.81567656],\n", + " [382433.09325107717, 6673713.992745601],\n", + " [382420.9345251367, 6673706.3033112455],\n", + " [382393.14816811285, 6673701.4785925755],\n", + " [382372.86876124644, 6673693.102893065],\n", + " [382356.6746570162, 6673668.83738451],\n", + " [382358.34709855274, 6673635.204597828],\n", + " [382349.6591872114, 6673627.74934262],\n", + " [382344.9971561417, 6673616.888177212]]]}]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#let's use our toolbox to get the features \n", + "seurasaari_coords = stb.getFeatures(seurasaari_df)\n", + "seurasaari_coords" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(4, 118, 68)" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use the mask function to crop the Sentinel-2 image\n", + "import rasterio.mask\n", + "\n", + "seurasaariS2_array, seurasaariS2_transform = rasterio.mask.mask(dataset=s2open, shapes=seurasaari_coords, crop=True)\n", + "\n", + "# check the shape\n", + "seurasaariS2_array.shape\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's store this cropped version as geotiff." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "# Copy the metadata from the original geotiff\n", + "seurasaariS2_meta = s2open.meta.copy()\n", + "\n", + "seurasaariS2_meta.update({\"height\": seurasaariS2_array.shape[1],\n", + " \"width\": seurasaariS2_array.shape[2],\n", + " \"transform\": seurasaariS2_transform }\n", + " )\n", + "\n", + "#metadata as keyword arguments (key-value pairs)\n", + "\n", + "seurasaariS2_file = \"./data/S2B_RGBNIR_20210926_Seurasaari.tif\"\n", + "\n", + "# write the file as geotif\n", + "with rasterio.open(seurasaariS2_file, \"w\", **seurasaariS2_meta) as dest:\n", + " dest.write(seurasaariS2_array)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we are done with the Sentinel-2 data of Helsinki. So let's not forget to close it." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "s2open.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And we can open the cropped rasterfile again with rasterio and visualize the nir band. " + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Open the cropped raster file\n", + "seurasaariS2 = rasterio.open(seurasaariS2_file)\n", + "\n", + "print(seurasaariS2.count)\n", + "\n", + "# Visualize with colormap defined\n", + "show((seurasaariS2, 4), cmap=\"terrain\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "# use the toolbox to prepare the image (as we did for Helsinki)\n", + "ss_falsecolorstack = stb.make_false_color_stack(seurasaariS2)\n", + "\n", + "# and plot it\n", + "plt.imshow(ss_falsecolorstack)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looks like there are a lot of trees on Seurasaari with high reflectances in the near infrared.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "### Vegetatiom health indicator\n", + "\n", + "The false color image does give us an impression about the vegetation on Seurasaari, but there is also other ways to look at \"vegetation greenness/health\".\n", + "\n", + "One often used indicator for vegetation health is the [Normalized Difference Vegetation Index, NDVI](https://gisgeography.com/ndvi-normalized-difference-vegetation-index/) \n", + "\n", + "![](./img/ndvi.jpg)\n", + "\n", + "Credit: Robert Simmon, NASA, https://www.nasa.gov/topics/earth/features/obscure_data.html\n", + "\n", + "It is calculated as:\n", + "\n", + "$$NDVI = \\frac{nir-red}{nir+red}$$\n", + "\n", + "This formula is applied to every single pixel in the raster. So we will need to do some band math / map algebra. And since we can read our data into numpy arrays, let's utilize that and read the nir and red band into arrays:\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dtype('float64')" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#open the Seurasaari geotif \n", + "seurasaariS2 = rasterio.open(seurasaariS2_file)\n", + "\n", + "# make use of the read_band function of the toolbox to read and prepare the arrays\n", + "# red is our channel number 3\n", + "ss_red = stb.read_band(seurasaariS2,3)\n", + "# nir is our channel number 4\n", + "ss_nir = stb.read_band(seurasaariS2,4)\n", + "\n", + "# check arrays datatype; range of NDVI is [0,1] -> float\n", + "ss_red.dtype" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'divide': 'warn', 'over': 'warn', 'under': 'ignore', 'invalid': 'warn'}" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "# since the divisor can be 0, we choose to ignore that error from numpy\n", + "np.seterr(divide=\"ignore\", invalid=\"ignore\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then we can calculate the NDVI value for every single pixle in our Seurasaari raster:" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dtype('float64')" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#use the formula to calculate NDVI\n", + "ndvi = (ss_nir - ss_red) / (ss_nir + ss_red)\n", + "\n", + "# check what is the minimum NDVI value in our raster\n", + "np.nanmin(ndvi)\n", + "ndvi.dtype" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's also visualize the NDVI using imshow (currently ndvi is only an array without geoinformation):" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the NDVI\n", + "plt.imshow(ndvi, cmap=\"viridis\")\n", + "# Add colorbar to show the index\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looks like the Seurasaari has been green and healthy. Let's store this ndvi array with added geoinformation as geotif:" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "#copy metadata from original \n", + "ndvi_meta = seurasaariS2.meta.copy()\n", + "\n", + "#we now only have one band instead of four, and the datatype changed, everything else stays same\n", + "ndvi_meta.update({\"count\" : 1,\n", + " \"dtype\" : np.dtype(\"f8\")})\n", + "\n", + "ndvi_file = \"./data/S2_NDVI_Seurasaari.tif\"\n", + "\n", + "#write the NDVI array to geotif\n", + "with rasterio.open(ndvi_file, \"w\", **ndvi_meta) as dest:\n", + " dest.write_band(1, ndvi.astype(np.dtype(\"f8\")))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Check your understanding:**\n", + "\n", + "* In above plot we do not have Coordinates at the plot, why? How could we get them?" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# %load cyu2_solution.txt\n", + "#Test your understanding:\n", + "\n", + "#* In above plot we do not have Coordinates at the plot, why? \n", + "\n", + "print(type(ndvi))\n", + "\n", + "# -> array, does not have any coordinates attached\n", + "\n", + "# How could we get them?\n", + "\n", + "# -> plot the newly saved file\n", + "\n", + "with rasterio.open(\"./data/S2_NDVI_Seurasaari.tif\") as src:\n", + " show(src, title=\"Read from saved NDVI geotiff\")\n", + "\n", + "# We could also pass the transform with the array to 'show'\n", + "\n", + "show(ndvi, transform=seurasaariS2.transform, title=\"NDVI array with transform\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Collecting more information\n", + "\n", + "In general, it looks like the vegetation on Seurasaari is doing well. But what are those darker areas?\n", + "\n", + "It is possible that not everything is trees on Seurasaari.\n", + "\n", + "Let's check what else there is...\n", + "\n", + "There is many possibilities to do that, we are going to look at the land cover classification [Corine](https://land.copernicus.eu/pan-european/corine-land-cover) , wich SYKE kindly provides for Finland: https://ckan.ymparisto.fi/dataset/%7B0B4B2FAC-ADF1-43A1-A829-70F02BF0C0E5%7D with the categories provided as excel sheet: https://geoportal.ymparisto.fi/meta/julkinen/dokumentit/CorineMaanpeite2018Luokat.xls\n", + "\n", + "For this lesson we will use a cropped versio of the file provided by SYKE, covering Seurasaari.\n", + "\n", + "First, lets visualize Corine data of Seurasaari:" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "corine_file = \"./data/Clc2018_Seurasaari.tif\"\n", + "\n", + "\n", + "with rasterio.open(corine_file) as corine:\n", + " show(corine,1, cmap = \"tab20b\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Up to now we have been working with continuous rasterdata representing reflectance between 0 and 1.\n", + "Corine is an example of a categorical raster, with each value representing a land cover class.\n", + "From the plot above we can see, that we have multiple different land cover classes on Seurasaari.\n", + "\n", + "Let's see what land cover classes we have on Seurasaari using `zonal_stats` function from [rasterstats](https://pythonhosted.org/rasterstats/).\n", + "Note that in this case we could also use numpy to collect values present in the corine array. However, if we had not cropped the original Sentinel-2 file, then we would get the classes of whole Helsinki, in which case using `zonal_stats` makes more sense." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{2: 12,\n", + " 3: 89,\n", + " 4: 42,\n", + " 14: 10,\n", + " 23: 20,\n", + " 25: 303,\n", + " 27: 140,\n", + " 28: 137,\n", + " 30: 38,\n", + " 33: 1,\n", + " 34: 31,\n", + " 36: 51,\n", + " 39: 3,\n", + " 41: 3,\n", + " 45: 7,\n", + " 46: 4,\n", + " 48: 15,\n", + " 49: 2}]" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from rasterstats import zonal_stats\n", + "\n", + "# note that zonal stats takes filenames as well as certain opened file formats\n", + "zstats = zonal_stats(seurasaari_df, corine_file, categorical=True)\n", + "zstats" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For categorical rasters, `zonal_stats` output is a dictionary with categoryvalue (= land cover class) and number of pixels belonging to that class.\n", + "Now it would be great to know what these category values mean to find out what is forest. \n", + "Luckily class descriptions are provided as excel file, of which we can pack the interesting (english and detailed) description into a dictionary:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can add this directly to zonal stats to get the output human reader friendly with classnames instead of class values (https://pythonhosted.org/rasterstats/manual.html#working-with-categorical-rasters):" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "#use toolbox function to get a dictionary of land cover class value and its name as category map\n", + "cat_dict = stb.get_corine_dict(\"https://geoportal.ymparisto.fi/meta/julkinen/dokumentit/CorineMaanpeite2018Luokat.xls\")\n", + "zstats = zonal_stats(seurasaari_df,corine_file, categorical=True, category_map=cat_dict, stats=[\"count\"])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And we can get the pecentage of pixels for each class, by utilizing the 'count' statistics, which counts all valid pixels within the polygon. " + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'Discontinuous urban fabric': 1,\n", + " 'Commercial units': 10,\n", + " 'Industrial units': 5,\n", + " 'Sport and leisure areas': 1,\n", + " 'Broad-leaved forest on mineral soil': 2,\n", + " 'Coniferous forest on mineral soil': 33,\n", + " 'Coniferous forest on rocky soil': 15,\n", + " 'Mixed forest on mineral soil': 15,\n", + " 'Mixed forest on rocky soil': 4,\n", + " 'Transitional woodland/shrub cc <10% ': 0,\n", + " 'Transitional woodland/shrub, cc 10-30%,on mineral soil': 3,\n", + " 'Transitional woodland/shrub, cc 10-30%, on rocky soil': 6,\n", + " 'Bare rock': 0,\n", + " 'Inland marshes, terrestrial': 0,\n", + " 'Salt marshes, terrestrial': 1,\n", + " 'Salt marshes, aquatic': 0,\n", + " 'Water bodies': 2,\n", + " 'Sea and ocean': 0}" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# use function from toolbox to calculate percentages for each class\n", + "stb.get_zonal_stats_percentage(zstats)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we know that there are commercial and industrial units on Seurasaari. Note that the Corine file was clipped approximately at the coast, which explains that there is 0.x% of sea and ocean and bare rock, even though if you have ever been to Seurasaari we know it is there.\n", + "\n", + "But we are only interested in trees (forest in Corine case), so lets filter out only forest classes: 'Broad-leaved forest on mineral soil', 'Coniferous forest on mineral soil', 'Coniferous forest on rocky soil', 'Mixed forest on mineral soil', 'Mixed forest on rocky soil'. Let's get the codes of these classes." + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "forestcodes = stb.get_forest_codes()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's create a mask which shows us where there is forest, and no forest on Seurasaari. \n", + "First we have to read the Corinefile into a numpy array:" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[255, 255, 255, ..., 255, 255, 255],\n", + " [255, 255, 255, ..., 255, 255, 255],\n", + " [255, 255, 255, ..., 255, 255, 255],\n", + " ...,\n", + " [255, 255, 255, ..., 255, 255, 255],\n", + " [255, 255, 255, ..., 255, 255, 255],\n", + " [255, 255, 255, ..., 255, 255, 255]], dtype=uint8)" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# read the first and only band of the Corine dataset\n", + "with rasterio.open(corine_file) as corine:\n", + " corine_array = corine.read(1)\n", + " \n", + "corine_array" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we mask the corinearray everywhere where the values are equal to any of the forest codes:" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "forestmask = stb.create_forest_mask(corine_array, forestcodes)\n", + "\n", + "show(forestmask,1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we store the resulting mask as a shapefile using [fiona](https://fiona.readthedocs.io/en/latest/manual.html) (a Python package for reading/writing geographic data files; geopandas would be another option) and [resterio.features](https://rasterio.readthedocs.io/en/latest/api/rasterio.features.html):" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "# import fiona and rasterio features\n", + "import fiona\n", + "from rasterio import features\n", + "\n", + "\n", + "# use features to get the values and connected regions in the mask and store them as polygons with the corresponding raster value as field.\n", + "results = ({\"properties\": {\"raster_val\": v}, \"geometry\": s} for i, (s, v) in enumerate(features.shapes(forestmask, transform = corine.transform)))\n", + "\n", + "forestmask_file = \"./data/forestmask_corine_seurasaari2.shp\"\n", + "# use fiona to store the polygons as shapefile with metadata from the corine raster\n", + "with fiona.open(forestmask_file, \"w\", driver=\"Shapefile\", crs=corine.crs, schema={\"properties\": [(\"raster_val\", \"int\")], \"geometry\": \"Polygon\"}) as dst:\n", + " dst.writerecords(results)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We are only interested in the NDVI values of forests, so we can use the created shapefile to mask out non-forest areas in the NDVI raster. and we can get one value to indicate \"how healthy the trees on Seurasaari were in end of September 2021\":" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean NDVI value of Seurasaari forests in September 2021:\n", + "0.7991306676737671\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/samwitt/miniconda3/envs/autogis-environment/lib/python3.8/site-packages/geopandas/io/file.py:362: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n", + " pd.Int64Index,\n" + ] + } + ], + "source": [ + "\n", + "#open the Seurasaari NDVI file and use rasterio mask to mask out areas that are not forest\n", + "with rasterio.open(ndvi_file) as ndvi:\n", + " shapefilename = stb.get_reprojected_shapefilename(ndvi.crs, \"./data/forestmask_corine_seurasaari2.shp\")\n", + " \n", + " # we only want to regard polygons that have the value 1 (forest) that we can get from the raster_val field\n", + " with fiona.open(shapefilename, \"r\") as shapefile:\n", + " shapes = [feature[\"geometry\"] for feature in shapefile if feature[\"properties\"][\"raster_val\"] == 1]\n", + " \n", + " #use rasterio.mask again\n", + " ndvi_forest, ndvi_forest_transform = rasterio.mask.mask(ndvi, shapes, crop=True, nodata=np.nan)\n", + "\n", + "print(\"Mean NDVI value of Seurasaari forests in September 2021:\")\n", + "print(np.nanmean(ndvi_forest))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Seems like the trees on Seurasaari are green and probably rather healthy :)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Keypoints\n", + "\n", + "* you can do almost anything to geospatial rasters with rasterio\n", + "* single bands can be read into numpy arrays and handled as such for e.g band maths\n", + "* be aware when you are working with geocoded data and when you are working with arrays\n", + "* you can use rasterio mask to crop a rasterfile with a shapefile\n", + "* rasterstats.zonal_statistics is helpful when you want to summarize pixel values from categorical and continuous rasters within polygons" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## References\n", + "\n", + "Inspiration for this lesson was drawn from below sources which are also good resources for further reading:\n", + "\n", + " * Original Raster lesson of this course: https://autogis-site.readthedocs.io/en/latest/lessons/Raster/overview.html (check especially Mosaicing)\n", + " * Raster data in Python intros: \n", + " * https://www.earthdatascience.org/courses/use-data-open-source-python/intro-raster-data-python/\n", + " * https://carpentries-incubator.github.io/geospatial-python/05-raster-structure/\n", + " * https://geohackweek.github.io/raster/04-workingwithrasters/\n", + " * https://kodu.ut.ee/~kmoch/geopython2019/L4/raster.html (check out especially the part about reprojecting a raster)\n", + " * https://geoscripting-wur.github.io/PythonRaster/\n", + " * https://pysal.org/scipy2019-intermediate-gds/deterministic/gds2-rasters.html\n", + " * https://geobgu.xyz/py/rasterio.html\n", + " * https://snowex-hackweek.github.io/website/tutorials/geospatial/raster.html\n", + " * https://carpentries-incubator.github.io/geospatial-python/01-intro-raster-data/index.html\n", + " * sample raster values at specific coordinates: https://hackernoon.com/sampling-raster-values-at-specific-coordinates-with-python\n", + " * Virtual Rasters: https://docs.csc.fi/support/tutorials/gis/virtual-rasters/\n", + " * Great collection of Geospatial Python resources: https://github.com/giswqs/python-geospatial" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "interpreter": { + "hash": "934693bf3302e0c65b22f89b7f3cbe19cc8282fc0a41881e9819d8986ae2d1e4" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.12" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git 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"display_name": "Seurasaari, Tamminiementie, Meilahti, Western major district, Helsinki, Helsinki sub-region, Uusimaa, Southern Finland, Mainland Finland, 00330, Finland", "class": "highway", "type": "bus_stop", "importance": 0.33100000000000007, "icon": "https://nominatim.openstreetmap.org/ui/mapicons//transport_bus_stop2.p.20.png", "geojson": {"type": "Point", "coordinates": [24.8857582, 60.1885111]}}, {"place_id": 3137893, "licence": "Data \u00a9 OpenStreetMap contributors, ODbL 1.0. https://osm.org/copyright", "osm_type": "node", "osm_id": 416048529, "boundingbox": ["60.1886796", "60.1887796", "24.8855366", "24.8856366"], "lat": "60.1887296", "lon": "24.8855866", "display_name": "Seurasaari, Seurasaarentie, Meilahti, Western major district, Helsinki, Helsinki sub-region, Uusimaa, Southern Finland, Mainland Finland, 00330, Finland", "class": "highway", "type": "bus_stop", "importance": 0.33100000000000007, "icon": "https://nominatim.openstreetmap.org/ui/mapicons//transport_bus_stop2.p.20.png", "geojson": {"type": "Point", "coordinates": [24.8855866, 60.1887296]}}] \ No newline at end of file diff --git a/source/notebooks/Raster/Raster_CSC/cyu1_solution.txt b/source/notebooks/Raster/Raster_CSC/cyu1_solution.txt new file mode 100644 index 000000000..f5519efac --- /dev/null +++ b/source/notebooks/Raster/Raster_CSC/cyu1_solution.txt @@ -0,0 +1,29 @@ +# Test your understanding: + +# Something seems off about the histogram, can you find out what and fix it? (Hint: check the shape of stack) + +# check that we have the data in correct format for show_hist (bands, height, width) + +print("first fix") + +print(falsecolor_stack.shape) +stack_for_hist = np.transpose(falsecolor_stack,axes=[2,0,1]) +print(stack_for_hist.shape) + +# and plot the histogram + +show_hist(stack_for_hist, bins=50, lw=0, stacked=False, alpha=0.9,histtype="stepfilled") + +# The basic output of the histogram function is not very nice and even wrong in one place, can you do better? (Hint: show_hist also takes matplotlib axes (`ax=`) and title `title=` as optional parameters) + +# add labels (we know that nir is first, red, is second and green is third band in our stack) using label +# add descriptive title +# adjust x-axis label by using matplotlibs axis to reflect what is actually shown in our case + +print("second fix") + +fig, ax = plt.subplots() +show_hist(stack_for_hist, bins=50, lw=0, stacked=False, alpha=0.9,histtype="stepfilled", label = ["nir","red","green"], title = "Histogram Sentinel-2 false color stack", ax = ax) +ax.set_xlabel("Reflectance") + +# in this case the histogram could also be plotted using only matplotlib.pyplot \ No newline at end of file diff --git a/source/notebooks/Raster/Raster_CSC/cyu2_solution.txt b/source/notebooks/Raster/Raster_CSC/cyu2_solution.txt new file mode 100644 index 000000000..781c80a18 --- /dev/null +++ b/source/notebooks/Raster/Raster_CSC/cyu2_solution.txt @@ -0,0 +1,18 @@ +#Test your understanding: + +#* In above plot we do not have Coordinates at the plot, why? + +print(type(ndvi)) + +# -> array, does not have any coordinates attached + +# How could we get them? + +# -> plot the newly saved file + +with rasterio.open("./data/S2_NDVI_Seurasaari.tif") as src: + show(src, title="Read from saved NDVI geotiff") + +# We could also pass the transform with the array to 'show' + +show(ndvi, transform=seurasaariS2.transform, title="NDVI array with transform") \ No newline at end of file diff --git a/source/notebooks/Raster/Raster_CSC/data/Clc2018_Seurasaari.tif b/source/notebooks/Raster/Raster_CSC/data/Clc2018_Seurasaari.tif new file mode 100644 index 000000000..07fa51a32 Binary files /dev/null and b/source/notebooks/Raster/Raster_CSC/data/Clc2018_Seurasaari.tif differ diff --git a/source/notebooks/Raster/Raster_CSC/data/S2B_RGBNIR_20210926_Helsinki.tif b/source/notebooks/Raster/Raster_CSC/data/S2B_RGBNIR_20210926_Helsinki.tif new file mode 100644 index 000000000..d5fa78fcb Binary files /dev/null and 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@@ -0,0 +1 @@ +ISO-8859-1 \ No newline at end of file diff --git a/source/notebooks/Raster/Raster_CSC/data/forestmask_corine_seurasaari2.dbf b/source/notebooks/Raster/Raster_CSC/data/forestmask_corine_seurasaari2.dbf new file mode 100644 index 000000000..84c5e3262 Binary files /dev/null and b/source/notebooks/Raster/Raster_CSC/data/forestmask_corine_seurasaari2.dbf differ diff --git a/source/notebooks/Raster/Raster_CSC/data/forestmask_corine_seurasaari2.prj b/source/notebooks/Raster/Raster_CSC/data/forestmask_corine_seurasaari2.prj new file mode 100644 index 000000000..7e60e4259 --- /dev/null +++ b/source/notebooks/Raster/Raster_CSC/data/forestmask_corine_seurasaari2.prj @@ -0,0 +1 @@ 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b/source/notebooks/Raster/Raster_CSC/data/forestmask_corine_seurasaari2_repr_32635.prj new file mode 100644 index 000000000..8159721c5 --- /dev/null +++ b/source/notebooks/Raster/Raster_CSC/data/forestmask_corine_seurasaari2_repr_32635.prj @@ -0,0 +1 @@ +PROJCS["WGS_1984_UTM_Zone_35N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",27.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] \ No newline at end of file diff --git a/source/notebooks/Raster/Raster_CSC/data/forestmask_corine_seurasaari2_repr_32635.shp b/source/notebooks/Raster/Raster_CSC/data/forestmask_corine_seurasaari2_repr_32635.shp new file mode 100644 index 000000000..960b23609 Binary files /dev/null and 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a/source/notebooks/Raster/Raster_CSC/img/vegetation_reflectance.png b/source/notebooks/Raster/Raster_CSC/img/vegetation_reflectance.png new file mode 100644 index 000000000..bb0e25d96 Binary files /dev/null and b/source/notebooks/Raster/Raster_CSC/img/vegetation_reflectance.png differ diff --git a/source/notebooks/Raster/Raster_CSC/prepare_data.py b/source/notebooks/Raster/Raster_CSC/prepare_data.py new file mode 100644 index 000000000..ef4fda8bc --- /dev/null +++ b/source/notebooks/Raster/Raster_CSC/prepare_data.py @@ -0,0 +1,90 @@ +#!/usr/bin/env python3 + +""" +Script for the preparation of raster lesson Sentinel 2 data +-- not part of the course, data prepared with this is provided: https://a3s.fi/gis-courses/pythongis_2022/S2B_RGBNIR_20210926_Helsinki.tif --- +""" + + +import os +import rasterio +from rasterio.mask import mask +import fiona +from fiona.transform import transform_geom +import numpy as np +import glob + + +def find_bands(S2SAFEfile, pixelsize): + """ + find bands from Sentinel-2 SAFE "file" with given pixelsize + """ + + bandlocation = [S2SAFEfile,'*','*','IMG_DATA'] + + bandpaths = {} + # we want r,g,b and nir at 10 m spatial resolution + for band in [2,3,4,8]: + pathbuildinglist = bandlocation + ['R' + str(pixelsize) + 'm','*' + str(band)+ '_' + str(pixelsize) +'m.jp2'] + bandpathpattern = os.path.join(*pathbuildinglist) + bandpath = glob.glob(bandpathpattern)[0] + + bandpaths[band] = bandpath + + #type: dict[bandnumber] - bandpath + return bandpaths + + +def create_multiband_tif(bandpaths): + """ + create multiband geotif file from given bandpathdict + """ + + outfilename = "./data/S2B_RGBNIR_20210926.tif" + with rasterio.open(bandpaths[4]) as src: + meta = src.meta + crs = src.crs + out_meta = meta.copy() + out_meta.update({"driver": "GTiff","count":4}) + with rasterio.open(outfilename, "w", **out_meta) as dest: + for i,band in enumerate(bandpaths.keys()): + with rasterio.open(bandpaths[band]) as src: + banddata = src.read(1) + dest.write(banddata, i+1) + + return outfilename, crs + + +def read_shapefile(): + """ + reads in shapefile of Finland municipalities and returns geometry of Helsinki polygon + """ + + with fiona.open("../L2/data/finland_municipalities.shp", "r") as shapefile: + polygons = [feature["geometry"] for feature in shapefile] if feature['properties']['name'] == 'Helsinki']) + #polycrs = str(shapefile.crs['init']).upper() + return polygons#, polycrs + + +def clip_area(mytif, polygons, outname): + """ + clip area of polygons from input raster file + """ + + with rasterio.open(mytif) as src: + out_image, out_transform = mask(src, polygons, crop=True) + out_meta = src.meta + out_meta.update({"driver": "GTiff", + "height": out_image.shape[1], + "width": out_image.shape[2], + "transform": out_transform}) + + + with rasterio.open(outname, "w", **out_meta) as dest: + dest.write(out_image) + +# Process for getting Sentinel2 4 band raster of Helsinki +bandpaths = find_bands("./data/S2B_MSIL2A_20210926T094029_N0301_R036_T35VLG_20210926T110446.SAFE",10) +mytif,crs= create_multiband_tif(bandpaths) +polygon = read_shapefile() +clip_area(mytif, polygon, "./data/S2B_RGBNIR_20210926_Helsinki.tif") diff --git a/source/notebooks/Raster/Raster_CSC/seurasaari_toolbox.py b/source/notebooks/Raster/Raster_CSC/seurasaari_toolbox.py new file mode 100644 index 000000000..ebf4134b5 --- /dev/null +++ b/source/notebooks/Raster/Raster_CSC/seurasaari_toolbox.py @@ -0,0 +1,223 @@ +""" + +Functions for use in Seurasaari trees notebook (Raster lesson of Introduction to Python GIS at CSC 2022) + +last updated: 10.03.2022 + +""" +################################# +#download_from_url (adjusted from AutoGIS course material) + +import os +import urllib + +def get_filename(url): + """ + Parses filename from given url + """ + if url.find('/'): + return url.rsplit('/', 1)[1] + +def download_data(url): + """ + Downloads data from given url + """ + + # Filepaths + outdir = r"data" + + # Create folder if it does not exist + if not os.path.exists(outdir): + os.makedirs(outdir) + + # Parse filename + fname = get_filename(url) + outfp = os.path.join(outdir, fname) + # Download the file if it does not exist already + if not os.path.exists(outfp): + print("Downloading", fname) + r = urllib.request.urlretrieve(url, outfp) + + +################################# + +# histogram stretch + +import numpy as np + +def stretch(array): + """ + remove lowest and highest 2 percentile and perform histogram stretch on array + """ + + min_percent = 2 + max_percent = 98 + lowp, highp = np.nanpercentile(array, (min_percent, max_percent)) + + # Apply linear "stretch" from lowp to highp + outar = (array.astype(float) - lowp) / (highp-lowp) + + #fix range to (0 to 1) + outar = np.maximum(np.minimum(outar*1, 1), 0) + + return outar + +################################# + +# get corine legend from excel file + +import pandas as pd + +def excel_to_df(catxls): + # read excel file into dataframe + catdf = pd.read_excel(catxls, index_col=None) + # limit dataframe from excel to only contain class value and its english name (level4) + catdf_lim = catdf[["Value","Level4Eng"]].set_index("Value") + return catdf_lim + + +def get_corine_dict(catxls): + """ + transform limited dataframe from excel to dictionary + """ + catdf_lim = excel_to_df(catxls) + # transform to dictionary + catdict = catdf_lim.to_dict()["Level4Eng"] + + return catdict + +################################# + +#get_json_feature + +import json + +def getFeatures(gdf): + """Function to parse features from GeoDataFrame in such a manner that rasterio wants them""" + + return [json.loads(gdf.to_json())["features"][0]["geometry"]] + + +################################# + +#for false color image + +import rasterio + +def read_band(s2, bandnumber): + """ + reads band, rescales and removes artifacts from array + """ + + # read band into array + band = s2.read(bandnumber) + # rescale + band = band / 10000 + # remove all artifacts + band[ band>1 ] = 1 + + return band + +import numpy as np + +def make_false_color_stack(raster): + """ + read nir,red,green, stretch and create stack of arrays for false color composite + """ + + nir = read_band(raster,4) + red = read_band(raster,3) + green = read_band(raster,2) + + nirs = stretch(nir) + reds = stretch(red) + greens = stretch(green) + + # Create RGB false color composite stack + rgb = np.dstack((nirs, reds, greens)) + + return rgb + +################################# + +#zonal_stats_percentage + +def get_zonal_stats_percentage(zstats): + """ + transforms the result of categorical zonal stats from number of pixels into rounded percentages of the whole polygon + """ + + zstat_perc = {} + # total amount of pixels is stored as 'count' + total = zstats[0]["count"] + # loop through classes + for key in zstats[0].keys(): + if not key == "count": + # calcualate percentage of total and store in dictionary + amount = zstats[0][key] + perc= round(amount/total *100) + zstat_perc[key] = perc + + return zstat_perc + + +################################# + +def get_forest_codes(): + """ + gets codes for all forest classes from corine dataframe + """ + + # Lets consider only forest (that is present on Seurasaari) + forest = ["Broad-leaved forest on mineral soil", + "Coniferous forest on mineral soil", + "Coniferous forest on rocky soil", + "Mixed forest on mineral soil", + "Mixed forest on rocky soil"] + + # we only need to look at value and english description + catdf_lim = excel_to_df("https://geoportal.ymparisto.fi/meta/julkinen/dokumentit/CorineMaanpeite2018Luokat.xls") + # and we only want those classes that include forest + forestdf = catdf_lim[catdf_lim["Level4Eng"].isin(forest)] + # as list + forestcodelist = forestdf.index.to_list() + + return forestcodelist + +################################# + +# forestmask + +def create_forest_mask(corinearray,forestcodes): + """ + create mask from corine with 1 for forest, 0 other + """ + # mask places where corine values are those of the forest classes + mask = (corinearray == int(forestcodes[0])) | (corinearray == int(forestcodes[1])) | (corinearray == int(forestcodes[2])) | (corinearray == int(forestcodes[3])) | (corinearray == int(forestcodes[4])) + + # store as integers + mask = mask.astype("uint8") + + return mask + +################################# + +#reproject shapefile + +import geopandas as gpd + +def get_reprojected_shapefilename(rastercrs, shapefilename): + """ + reproject shapefile to given rastercrs, store it and return its name + """ + + # read shapefile into dataframe + df = gpd.read_file(shapefilename) + # reproject to rasters CRS + df = df.to_crs(rastercrs) + # build the outputname from the inputname + outname = os.path.join("data",os.path.splitext(os.path.basename(shapefilename))[0] + "_repr_32635.shp") + # write to disk + df.to_file(driver = "ESRI Shapefile", filename= outname) + # return the name of the reprojected shapefile + return outname