"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"year = 2009\n",
"month = 1\n",
"# change the figure size\n",
"plt.figure(figsize=(10,4))\n",
"plt.title('VIS BHR albedo for %s %d'%(month_names[month],year))\n",
"# use nearest neighbour interpolation\n",
"plt.imshow(albedo[0],interpolation='nearest',\n",
" cmap=plt.get_cmap('Spectral'),vmin=0.0,vmax=1.0)\n",
"\n",
"# show a colour bar \n",
"plt.colorbar()\n",
"\n",
"# save the plot to a jpeg image file\n",
"plt.savefig(\"data/albedo.pdf\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### E3.2 Exercise: Making Movies"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### E3.2.1 Software"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"You can *sort of* make [movies in pylab](http://matplotlib.org/faq/howto_faq.html#make-a-movie), but you generally have to make a system call to unix at some point, so it's probably easier to do this all in unix with the utility [`convert`](http://www.imagemagick.org/script/convert.php).\n",
"\n",
"At the unix prompt, chack that you have access to convert:\n",
"\n",
"```bash\n",
"berlin% which convert\n",
"/usr/bin/convert\n",
"```\n",
"\n",
"If this doesn't come up with anything useful, there is probably a version in `/usr/bin/convert` or `/usr/local/bin/convert` (If you don't have it on your local machine, install [`ImageMagick`](http://www.imagemagick.org/script/index.php) which contains the command line tool `convert`).\n",
"\n",
"To use this, e.g.:\n",
"\n",
"from the unix command line:\n",
"\n",
"```bash\n",
"berlin% cd ~/DATA/geogg122/Chapter3_Scientific_Numerical_Python \n",
"berlin% convert data/albedo.jpg data/albedo.gif \n",
"```\n",
"\n",
"or from within a notebook:"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:11:33.369986Z",
"start_time": "2017-10-24T19:11:33.106494Z"
}
},
"outputs": [],
"source": [
"!convert data/albedo.jpg data/albedo.gif"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Or, more practically here, you can run a unix command directly from Python:"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:11:34.522599Z",
"start_time": "2017-10-24T19:11:34.403382Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"0"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import subprocess\n",
"subprocess.call([\"convert\", \"data/albedo.jpg\", \"data/albedo.gif\"])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This will convert the file `files/data/albedo.jpg` (in jpeg format) to `files/data/albedo.gif` (in gif format)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"![albedo](files/data/albedo.gif)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can also use `convert` to make animated gifs, which is one way of making a movie."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### E3.2.2 Looping over a set of images"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You have all of the code you need above to be able to read a GlobAlbedo file for a given month and waveband in Python and save a picture in jpeg format, but to recap for `BHR_VIS`:\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:11:40.828318Z",
"start_time": "2017-10-24T19:11:36.610596Z"
}
},
"outputs": [],
"source": [
"for i in xrange(12):\n",
" plt.figure()\n",
" plt.imshow(albedo[i], vmin=0, vmax=1, interpolation=\"nearest\")\n",
" plt.title(\"BHR VIS albedo for month {}\".format(month_names[i]))\n",
" plt.colorbar()\n",
" output_filename = \"data/albedo_{:02d}.jpg\".format(i+1)\n",
" plt.savefig(output_filename)\n",
" subprocess.call([\"convert\", output_filename,\n",
" output_filename.replace(\".jpg\", \".gif\")])\n",
" plt.close() # Close figure"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Modify the code above to loop over each month, so that it generates a set of gif format files for the TOTAL SHORTWAVE ALBEDO**\n",
"\n",
"You should confirm that these exist, and that the file modification time is when you ran it (not when I generated the files for these notes, which is Oct 10 2013)."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:11:46.763904Z",
"start_time": "2017-10-24T19:11:46.642711Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"-rw-rw-r-- 1 ucfajlg ucfajlg 26054 Oct 24 20:11 \u001b[0m\u001b[01;35mdata/albedo_01.gif\u001b[0m\r\n",
"-rw-rw-r-- 1 ucfajlg ucfajlg 26015 Oct 24 20:11 \u001b[01;35mdata/albedo_02.gif\u001b[0m\r\n",
"-rw-rw-r-- 1 ucfajlg ucfajlg 26320 Oct 24 20:11 \u001b[01;35mdata/albedo_03.gif\u001b[0m\r\n",
"-rw-rw-r-- 1 ucfajlg ucfajlg 26169 Oct 24 20:11 \u001b[01;35mdata/albedo_04.gif\u001b[0m\r\n",
"-rw-rw-r-- 1 ucfajlg ucfajlg 26237 Oct 24 20:11 \u001b[01;35mdata/albedo_05.gif\u001b[0m\r\n",
"-rw-rw-r-- 1 ucfajlg ucfajlg 25913 Oct 24 20:11 \u001b[01;35mdata/albedo_06.gif\u001b[0m\r\n",
"-rw-rw-r-- 1 ucfajlg ucfajlg 25505 Oct 24 20:11 \u001b[01;35mdata/albedo_07.gif\u001b[0m\r\n",
"-rw-rw-r-- 1 ucfajlg ucfajlg 25356 Oct 24 20:11 \u001b[01;35mdata/albedo_08.gif\u001b[0m\r\n",
"-rw-rw-r-- 1 ucfajlg ucfajlg 26418 Oct 24 20:11 \u001b[01;35mdata/albedo_09.gif\u001b[0m\r\n",
"-rw-rw-r-- 1 ucfajlg ucfajlg 26295 Oct 24 20:11 \u001b[01;35mdata/albedo_10.gif\u001b[0m\r\n",
"-rw-rw-r-- 1 ucfajlg ucfajlg 25749 Oct 24 20:11 \u001b[01;35mdata/albedo_11.gif\u001b[0m\r\n",
"-rw-rw-r-- 1 ucfajlg ucfajlg 26026 Oct 24 20:11 \u001b[01;35mdata/albedo_12.gif\u001b[0m\r\n"
]
}
],
"source": [
"ls -l data/albedo_??.gif"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### E3.2.3 Make the movie"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The unix command to convert these files to an animated gif is:\n",
"\n",
"```bash\n",
"convert -delay 100 -loop 0 data/albedo_??.gif data/albedo_2009.gif\n",
"```\n",
"\n",
"**Run this (ideally, from within Python) to create the animated gif albedo_2009.gif**\n",
"\n",
"Again, confirm that *you* created this file (and it is not just a version you downloaded):"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:11:49.498017Z",
"start_time": "2017-10-24T19:11:49.378609Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"-rw-rw-r-- 1 ucfajlg ucfajlg 311922 Oct 24 18:58 \u001b[0m\u001b[01;35mdata/albedo_2009.gif\u001b[0m\r\n"
]
}
],
"source": [
"ls -l data/albedo_2009.gif"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"![](data/albedo_2009.gif)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Methods\n",
"\n",
"We've seen how to load data, do plots and so on. We can see that this is something we might want to repeat many times, and one way to minimise the errors from \"copying and pasting\" things around is to pack everything into a *method* or a *function* (we'll use the term interchangeably).\n",
"\n",
"A function takes a number of parameters (some of them can have some default values), does something with the data and returns something back. For example, we can think that to read some GA data for any given month and year, we need:\n",
"\n",
"1. The folder where the data are \n",
"2. The month\n",
"3. The year\n",
"4. The layer\n",
"\n",
"We would get back a 2D array with the data loaded up. The function is called `read_globalbedo` (you can call it whatever you want, but remember that you'll want to remember it!)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:11:51.934946Z",
"start_time": "2017-10-24T19:11:51.925738Z"
}
},
"outputs": [],
"source": [
"def read_globalbedo(month, year, folder=\"data/\", layer=\"BHR_VIS\"):\n",
" \"\"\"Read globalbedo data when given month and year.\n",
" Parameters\n",
" ------------\n",
" month: int\n",
" The month from 1 to 12.\n",
" year: int\n",
" The year, currently only 2009 and 2010 available, but can download more.\n",
" folder: str\n",
" The folder where the GA data are stored.\n",
" layer: str\n",
" The data layer\n",
" \n",
" Returns\n",
" ---------\n",
" A 2D array\"\"\"\n",
" file_template = 'NETCDF:\"{:s}\":{:s}' # Template for the Netcdf path\n",
" fname_template = '{:s}/GlobAlbedo.merge.albedo.05.{:d}{:02d}.nc' # the actual filename\n",
" fname = fname_template.format(folder, year, month)\n",
" netcdf_fname = file_template.format(fname, layer)\n",
" g = gdal.Open(netcdf_fname)\n",
" if g is None:\n",
" raise IOError(\"Problem with reading file {}\".format(fname))\n",
" data = g.ReadAsArray()\n",
" return data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the above code the function takes two mandatory parameters: `month` and `year`, and two optional parameters, that if they are not specified will the ones in the function header (e.g. if you don't specify `folder`, it'll be automatically set to `data/`, and if you don't specify layer, you'll get `BHR_VIS` automatically). The function will return a 2D albedo array as before:"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:11:54.305485Z",
"start_time": "2017-10-24T19:11:54.297696Z"
}
},
"outputs": [],
"source": [
"data = read_globalbedo(1, 2009)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"Have a go at running `read_globalbedo` and testing that you get the same results as with the long-winded method above. Check different months, years, and layers (e.g. `BHR_NIR`).\n",
"
"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3.3 Numpy"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 3.3.1 Numpy Arrays"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At the heart of the [`numpy`](http://docs.scipy.org/doc/numpy/contents.html) module is a a powerful N-dimensional array object.\n",
"\n",
"Among many other things, this allows us to do arithmetic (and other operations) directly on arrays, rather than having to loop over each element (as we did with lists for example). \n",
"\n",
"Two main benefits of this are:\n",
"\n",
"- the code is much easier to read\n",
"- running the code is much more efficient (because, 'under the hood' as it were of the programming language, we can do fast operations such as vector processing).\n",
"\n",
"As our first example, let's read the visible albedo data we examined above into a numpy array.\n",
"\n",
"We will start with just one month of data:"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:11:56.706195Z",
"start_time": "2017-10-24T19:11:56.690059Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"the array type is now \n",
"the shape of the array is (360, 720)\n",
"the size of the array is 259200\n",
"the number of dimensions is 2\n",
"the data type in the array is float32\n"
]
}
],
"source": [
"import numpy as np\n",
"data = read_globalbedo(2, 2009)\n",
"\n",
"# some interesting things about numpy arrays\n",
"print \"the array type is now\",type(data)\n",
"print \"the shape of the array is\",data.shape \n",
"print \"the size of the array is\",data.size\n",
"print \"the number of dimensions is\",data.ndim\n",
"print \"the data type in the array is\",data.dtype"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A few things to notice here.\n",
"\n",
"GDAL reads the data and returns a numpy array directly. However, if we want to have access to all of Numpy's functionality, we first need to import it using\n",
"\n",
" import numpy as np\n",
" \n",
"which means that locally, we refer to this module as `np` (saves us writint `numpy`).\n",
"\n",
"We can convert lists that have all elements of the same data type into an array by using the `array` method of the numpy library:\n",
"\n",
" np.array([1,2,3])\n",
"\n",
"\n",
"Then we saw at the end of this code a number of commonly used methods for the numpy class that provide us with information on the `shape` of the array (N.B. this is (rows,cols) as you might notice from the plots we generated), the total size (number of elements), number of dimansions.\n",
"\n",
"We also saw that we could access the array data type (`dtype`). This is very different to a `list` or `tuple` then, because a numpy array can *only* contain data of a single data type (but lists or tuples can have different data types in each element)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### astype"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can convert *between* data types using `astype`:"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:00.011303Z",
"start_time": "2017-10-24T19:12:00.005373Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"int64\n"
]
}
],
"source": [
"a = np.array([1,2,3])\n",
"print a.dtype"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:00.793867Z",
"start_time": "2017-10-24T19:12:00.789037Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 1. 2. 3.]\n",
"float64\n"
]
}
],
"source": [
"b = a.astype(float)\n",
"print b\n",
"print b.dtype"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### slice"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As you would expect, we can slice in a numpy array. All that is different is that we set up a slice of each dimension, e.g.:"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:02.206499Z",
"start_time": "2017-10-24T19:12:02.197541Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 0.87582344 0.87606007 0.87689805 0.87557447]\n",
" [ 0.79205 0.65575886 0.87453514 0.87763792]]\n",
"(2, 4)\n",
"2\n"
]
}
],
"source": [
"# see if you can work out why this is \n",
"# the size, shape and ndim it is\n",
"\n",
"print data[-3:-1,10:30:5]\n",
"print data[-3:-1,10:30:5].shape\n",
"print data[-3:-1,10:30:5].ndim"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you want to specify **all elements in a given dimension** you need to use at least one `:`, e.g."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:04.430753Z",
"start_time": "2017-10-24T19:12:04.424032Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ nan nan nan nan nan nan nan nan nan nan]\n",
"(10,)\n"
]
}
],
"source": [
"# what does this mean?\n",
"\n",
"print data[10:20,0]\n",
"print data[10:20,0].shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### nan, inf"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Some of the data in the array `band` appear as `nan` ('not a number'), which is how, in this dataset, non-valid pixels are specified.\n",
"\n",
"`nan` is also what you would get for undefined results from arithmetic:"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:06.161571Z",
"start_time": "2017-10-24T19:12:06.149576Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ nan inf]\n",
"so 0./0. = nan\n",
"so 1./0. = inf\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/anaconda/lib/python2.7/site-packages/ipykernel_launcher.py:3: RuntimeWarning: divide by zero encountered in divide\n",
" This is separate from the ipykernel package so we can avoid doing imports until\n",
"/opt/anaconda/lib/python2.7/site-packages/ipykernel_launcher.py:3: RuntimeWarning: invalid value encountered in divide\n",
" This is separate from the ipykernel package so we can avoid doing imports until\n"
]
}
],
"source": [
"a = np.array([0., 1.])\n",
"b = np.array([0., 0.])\n",
"c = a/b\n",
"print c\n",
"print 'so 0./0. =',c[0]\n",
"print 'so 1./0. =',c[1]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`inf` here means 'infinity', which is what anything other than zero divided by zero is.\n",
"\n",
"We can check to see if some value is `nan` or `inf` e.g:"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:07.384916Z",
"start_time": "2017-10-24T19:12:07.376433Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ nan inf]\n",
"is c nan? [ True False]\n",
"is c inf? [False True]\n"
]
}
],
"source": [
"print c\n",
"print 'is c nan?',np.isnan(c)\n",
"print 'is c inf?',np.isinf(c)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Generally we would want to avoid processing array values that contained `nan` or `inf` as any arithmetic involving these is unlikely tell us more than we already know:"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:09.624659Z",
"start_time": "2017-10-24T19:12:09.618790Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"inf + 1\t\t= inf\n",
"inf - np.inf\t= nan\n",
"nan / 2 \t\t= nan\n"
]
}
],
"source": [
"print 'inf + 1\\t\\t=',np.inf + 1\n",
"print 'inf - np.inf\\t=',np.inf - np.inf\n",
"print 'nan / 2 \\t\\t=',np.nan / 2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Or, trying to e.g. calculate the sum of values in the array `band`:"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:11.611708Z",
"start_time": "2017-10-24T19:12:11.604923Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"nan\n"
]
}
],
"source": [
"print data.sum()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"which is not really what we wanted. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We have seen above that `np.isnan(c)` and `np.isinf(c)` result in a `bool` array of the same shape as the input array.\n",
"\n",
"We can use these to mask out things we don't want, e.g."
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:14.105050Z",
"start_time": "2017-10-24T19:12:14.098123Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" ..., \n",
" [False False False ..., False False False]\n",
" [ True False False ..., False False False]\n",
" [False False False ..., False False False]]\n"
]
}
],
"source": [
"no_data = np.isnan(data)\n",
"print no_data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This will be `True` where the data in `band` were `nan` ... but what we might often want is the opposite of this, i.e. `True` where the data are valid.\n",
"\n",
"We might guess that we could simply type:"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:15.962424Z",
"start_time": "2017-10-24T19:12:15.956311Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[False False False ..., False False False]\n",
" [False False False ..., False False False]\n",
" [False False False ..., False False False]\n",
" ..., \n",
" [ True True True ..., True True True]\n",
" [False True True ..., True True True]\n",
" [ True True True ..., True True True]]\n"
]
}
],
"source": [
"valid_data = ~np.isnan(data)\n",
"print valid_data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"where `~` means a logical `NOT`."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### masked array"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There is a special type of object in `numpy` called a [masked array](http://docs.scipy.org/doc/numpy/reference/maskedarray.html). With this array representation, operations are *only* performed where the data mask is `False`. We need to import the masked array module `ma` from numpy: "
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:18.601154Z",
"start_time": "2017-10-24T19:12:18.595794Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"False\n"
]
}
],
"source": [
"import numpy.ma as ma\n",
"\n",
"masked_band = ma.array(data)\n",
"print masked_band.mask"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"When we convert the representation from a normal `numpy` array to a masked array using `ma.array()`, the default mask is `False` (which means no mask).\n",
"\n",
"In this case, we want to set the mask to `True` where the data are `nan`. We would normally do this when setting up the masked array:"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:20.425018Z",
"start_time": "2017-10-24T19:12:20.418196Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"so the array is now\n",
"[[-- -- -- ..., -- -- --]\n",
" [-- -- -- ..., -- -- --]\n",
" [-- -- -- ..., -- -- --]\n",
" ..., \n",
" [0.6507693529129028 0.6519480347633362 0.7674967646598816 ...,\n",
" 0.6532170176506042 0.6534419059753418 0.6529830694198608]\n",
" [-- 0.6506087779998779 0.6500169038772583 ..., 0.6474758386611938\n",
" 0.6462251543998718 0.6453946232795715]\n",
" [0.8676198124885559 0.8676198124885559 0.8676198124885559 ...,\n",
" 0.8676198124885559 0.8676198124885559 0.8676198124885559]]\n",
"\n",
"with a mask\n",
"[[ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" ..., \n",
" [False False False ..., False False False]\n",
" [ True False False ..., False False False]\n",
" [False False False ..., False False False]]\n"
]
}
],
"source": [
"masked_band = ma.array(data,mask=np.isnan(data))\n",
"print \"so the array is now\\n\",masked_band\n",
"print \"\\nwith a mask\\n\",masked_band.mask"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 3.3.2 Reading data from multiple files"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### zeros, ones, empty"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Suppose we want to read in all 12 months of SW albedo data following on from the example above.\n"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:23.298572Z",
"start_time": "2017-10-24T19:12:23.279921Z"
}
},
"outputs": [],
"source": [
"def read_globalbedo(month, year, folder=\"data/\", layer=\"BHR_VIS\"):\n",
" \"\"\"Read globalbedo data when given month and year.\n",
" Parameters\n",
" ------------\n",
" month: int\n",
" The month from 1 to 12.\n",
" year: int\n",
" The year, currently only 2009 and 2010 available, but can download more.\n",
" folder: str\n",
" The folder where the GA data are stored.\n",
" layer: str\n",
" The data layer\n",
" \n",
" Returns\n",
" ---------\n",
" A 2D array\"\"\"\n",
" file_template = 'NETCDF:\"{:s}\":{:s}' # Template for the Netcdf path\n",
" fname_template = '{:s}/GlobAlbedo.merge.albedo.05.{:d}{:02d}.nc' # the actual filename\n",
" fname = fname_template.format(folder, year, month)\n",
" netcdf_fname = file_template.format(fname, layer)\n",
" g = gdal.Open(netcdf_fname)\n",
" if g is None:\n",
" raise IOError(\"Problem with reading file {}\".format(fname))\n",
" data = g.ReadAsArray()\n",
" return data\n",
"# which months?\n",
"months = range(1,13)\n",
"\n",
"# loop over month\n",
"# but right now we'll just pretend that we're\n",
"# doing that and consider what happens the first time \n",
"# we are in our loop\n",
"#\n",
"# set i as index counter\n",
"# set the variable month to be \n",
"# months[0]\n",
"i = 0\n",
"\n",
"band = read_globalbedo(i+1,2009, layer='DHR_SW')\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Looking at what would happen when we read the first file, we can see that we don't actually know how large the whole dataset will be until we have read our first file.\n",
"\n",
"We know that we will want dimensions of `(12,nrows,ncols)` (or better still, `(len(months),nrows,ncols)` in case we decide to change months), but until we have read the data into the variable `band` with:\n",
"\n",
" band = readGA(month=months[i],layer='DHR_SW')\n",
" \n",
"we don't know how many rows or columns the dataset has (well, we might do ... but we want to try to design flexible code, where if the size of the datasets changed, our code would still operate correctly!).\n",
"\n",
"But, when we *have* first read some data, *then* we would be in a position to say what the shape of the whole dataset should be. At that point, we could use the method:\n",
"\n",
" np.empty(shape)\n",
"\n",
"to (in essence) set aside ('allocate') some memory to store these data. There are three main options for this:\n",
"\n",
"- `np.zeros(shape)` : set up an array with shape defined by `shape` and initialise with 0 \n",
"- `np.ones(shape)` : set up an array with shape defined by `shape` and initialise with 1 \n",
"- `np.empty(shape)` : set up an array with shape defined by `shape` but don't initialise (so, in theory, a little faster, but can be filled with randon junk) \n",
"\n",
"we can control the `dtype` of the array with a `dtype` option. e.g.:"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:26.039560Z",
"start_time": "2017-10-24T19:12:26.005117Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"------------------------------\n",
"1-D arrays\n",
"------------------------------\n",
"np.zeros(1): [ 0.]\n",
"np.zeros(2): [ 0. 0.]\n",
"\n",
"------------------------------\n",
"2- and 3-D arrays\n",
"------------------------------\n",
"np.zeros((1,2)):\n",
"[[ 0. 0.]]\n",
"np.zeros((2,2)):\n",
"[[ 0. 0.]\n",
" [ 0. 0.]]\n",
"np.zeros((2,2,3)):\n",
"[[[ 0. 0. 0.]\n",
" [ 0. 0. 0.]]\n",
"\n",
" [[ 0. 0. 0.]\n",
" [ 0. 0. 0.]]]\n",
"\n",
"------------------------------\n",
"empty and ones\n",
"------------------------------\n",
"np.empty((1,2)):\n",
"[[ 0. 0.]]\n",
"np.ones((1,2)):\n",
"[[ 1. 1.]]\n",
"\n",
"------------------------------\n",
"Changing the data type\n",
"------------------------------\n",
"np.ones((1,2),dtype=int):\n",
"[[1 1]]\n",
"np.empty((1,2),dtype=int):\n",
"[[1 1]]\n",
"np.ones((1,2),dtype=bool):\n",
"[[ True True]]\n",
"np.zeros((1,2),dtype=bool):\n",
"[[False False]]\n",
"np.empty((1,2),dtype=bool):\n",
"[[False False]]\n",
"\n",
"------------------------------\n",
"Note that we can have a string array\n",
"------------------------------\n",
"np.ones((1,2),dtype=str):\n",
"[['1' '1']]\n",
"\n",
"------------------------------\n",
"Or even e.g. a list array\n",
"------------------------------\n",
"np.ones((2,2),dtype=list):\n",
"[[1 1]\n",
" [1 1]]\n",
"np.empty((2,2),dtype=list):\n",
"[[None None]\n",
" [None None]]\n"
]
}
],
"source": [
"print '-'*30;print '1-D arrays';print '-'*30;\n",
"print 'np.zeros(1):',np.zeros(1) # 1 : 1D array\n",
"print 'np.zeros(2):',np.zeros(2) # 2 : 1D array\n",
"\n",
"print '\\n' + '-'*30;print '2- and 3-D arrays';print '-'*30;\n",
"print 'np.zeros((1,2)):\\n',np.zeros((1,2)) # default dtype is float\n",
"print 'np.zeros((2,2)):\\n',np.zeros((2,2)) # 2 X 2\n",
"print 'np.zeros((2,2,3)):\\n',np.zeros((2,2,3)) # 2 X 2 X 3\n",
"\n",
"print '\\n' + '-'*30;print 'empty and ones';print '-'*30;\n",
"print 'np.empty((1,2)):\\n',np.empty((1,2)) # default dtype is float\n",
"print 'np.ones((1,2)):\\n',np.ones((1,2)) # default dtype is float\n",
"\n",
"print '\\n' + '-'*30;print 'Changing the data type';print '-'*30;\n",
"print 'np.ones((1,2),dtype=int):\\n',np.ones((1,2),dtype=int) # dtype int\n",
"print 'np.empty((1,2),dtype=int):\\n',np.empty((1,2),dtype=int) # dtype int\n",
"print 'np.ones((1,2),dtype=bool):\\n',np.ones((1,2),dtype=bool) # dtype bool\n",
"print 'np.zeros((1,2),dtype=bool):\\n',np.zeros((1,2),dtype=bool) # dtype bool\n",
"print 'np.empty((1,2),dtype=bool):\\n',np.empty((1,2),dtype=bool) # dtype bool \n",
"\n",
"print '\\n' + '-'*30;print 'Note that we can have a string array';print '-'*30;\n",
"print 'np.ones((1,2),dtype=str):\\n',np.ones((1,2),dtype=str) # dtype str\n",
"\n",
"print '\\n' + '-'*30;print 'Or even e.g. a list array';print '-'*30;\n",
"print 'np.ones((2,2),dtype=list):\\n',np.ones((2,2),dtype=list) # dtype list\n",
"print 'np.empty((2,2),dtype=list):\\n',np.empty((2,2),dtype=list) # dtype list\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So, once we have read one band, we could write:"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:29.159015Z",
"start_time": "2017-10-24T19:12:29.075013Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(12, 360, 720)\n"
]
}
],
"source": [
"def read_globalbedo(month, year, folder=\"data/\", layer=\"BHR_VIS\"):\n",
" \"\"\"Read globalbedo data when given month and year.\n",
" Parameters\n",
" ------------\n",
" month: int\n",
" The month from 1 to 12.\n",
" year: int\n",
" The year, currently only 2009 and 2010 available, but can download more.\n",
" folder: str\n",
" The folder where the GA data are stored.\n",
" layer: str\n",
" The data layer\n",
"\n",
" Returns\n",
" ---------\n",
" A 2D array\"\"\"\n",
" file_template = 'NETCDF:\"{:s}\":{:s}' # Template for the Netcdf path\n",
" # the actual filename\n",
" fname_template = '{:s}/GlobAlbedo.merge.albedo.05.{:d}{:02d}.nc'\n",
" fname = fname_template.format(folder, year, month)\n",
" netcdf_fname = file_template.format(fname, layer)\n",
" g = gdal.Open(netcdf_fname)\n",
" if g is None:\n",
" raise IOError(\"Problem with reading file {}\".format(fname))\n",
" data = g.ReadAsArray()\n",
" return data\n",
"\n",
"\n",
"# Loop over all months\n",
"for month in range(12):\n",
" # Read data for current month. NOte that read_globalbedo\n",
" # takes months from 1 to 12, not 0 to 11!\n",
" this_data = read_globalbedo(month + 1, 2009, layer=\"DHR_SW\")\n",
" # If we're on the first month...\n",
" if month == 0:\n",
" # Get the array shape (rows, cols)\n",
" ny, nx = this_data.shape\n",
" # Create an empty 3D array, with 12 \"layers\" of 2D arrays\n",
" data = np.empty((12, ny, nx))\n",
" # data is created on the first iteration, so it's always available\n",
" # Stash the new data into the output\n",
" data[month, :, :] = this_data\n",
"\n",
"print data.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We also use slicing when assigning ('loading', if you like) data into a larger array:"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:32.122198Z",
"start_time": "2017-10-24T19:12:32.114236Z"
}
},
"outputs": [],
"source": [
"data[i,:,:] = band"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"But this will *only* work if what you are trying to load and where you are tryng to load it are the same *shape*:\n",
"\n",
" data[i,:,:].shape == band.shape\n",
" \n",
" \n",
"which they are in this case."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"An alternative way of achieving this same effect is to use a list, creating an empty list before going into the loop and appending `band` to the list each time we read a new band."
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:33.750001Z",
"start_time": "2017-10-24T19:12:33.684617Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"shape (12, 360, 720)\n"
]
}
],
"source": [
"# Start with an empty list\n",
"data = []\n",
"# Loop over all months\n",
"for month in range(12):\n",
" # Read data for current month. NOte that read_globalbedo\n",
" # takes months from 1 to 12, not 0 to 11!\n",
" this_data = read_globalbedo(month + 1, 2009, layer=\"DHR_SW\")\n",
" data.append(this_data)\n",
"data = np.array(data)\n",
"print 'shape', data.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In many ways, this is a simpler and 'cleaner' way of setting up a 3-D array from reading multiple 2-D arrays. If the array is *very* large, it can be less efficient (you have to convert a huge list to an array at the end), but that is not normally something to worry about and this approach is often preferable."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In fact, if we know how many entries (in time) we are expecting, we can simply set up the storage array before going into the loop:"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:35.669715Z",
"start_time": "2017-10-24T19:12:35.602509Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"shape (12, 360, 720)\n"
]
}
],
"source": [
"# Start with an empty array of the same size\n",
"data = np.empty((12, 360, 720))\n",
"# Loop over all months\n",
"for month in range(12):\n",
" # Read data for current month. NOte that read_globalbedo\n",
" # takes months from 1 to 12, not 0 to 11!\n",
" this_data = read_globalbedo(month + 1, 2009, layer=\"DHR_SW\")\n",
" data[month, :, :] = this_data\n",
"\n",
"print 'shape', data.shape\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"Write a method that returns a full year of data by\n",
"
\n",
"1. Writing a completely new method
\n",
"2. Writing a new `read_globalbedo_annual` method that builds up from `read_globalbedo`\n",
"
"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### sum"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To sum data in a numpy (or masked) array, we use the function `sum`.\n",
"\n",
"e.g.:"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:38.272956Z",
"start_time": "2017-10-24T19:12:38.260752Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"nan nan\n"
]
}
],
"source": [
"print data.sum(),data[0,0,0]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Thats not very useful in this case, because we have `nan` in the dataset ... though if we use a masked array it *will* work as we expect.\n",
"\n",
"`np.sum` here adds all of the values in the array.\n",
"\n",
"We could select *only* values that are >= 0 with the logical statement:"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:40.252549Z",
"start_time": "2017-10-24T19:12:40.240313Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[[ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" ..., \n",
" [False False False ..., False False False]\n",
" [ True False False ..., False False False]\n",
" [False False False ..., False False False]]\n",
"\n",
" [[ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" ..., \n",
" [False False False ..., False False False]\n",
" [ True False False ..., False False False]\n",
" [False False False ..., False False False]]\n",
"\n",
" [[ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" ..., \n",
" [ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" [False False False ..., False False False]]\n",
"\n",
" ..., \n",
" [[ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" ..., \n",
" [False False False ..., False False False]\n",
" [ True False False ..., False False False]\n",
" [False False False ..., False False False]]\n",
"\n",
" [[ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" ..., \n",
" [False False False ..., False False False]\n",
" [ True False False ..., False False False]\n",
" [False False False ..., False False False]]\n",
"\n",
" [[ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" [ True True True ..., True True True]\n",
" ..., \n",
" [False False False ..., False False False]\n",
" [ True False False ..., False False False]\n",
" [False False False ..., False False False]]]\n"
]
}
],
"source": [
"not_valid = np.isnan(data)\n",
"print not_valid"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"so `not_valid` here is an array of the same size and shape as `data`, with `True` where the value is not valid (`nan`) and `False` elsewhere.\n",
"\n",
"We can use this to select *only* data elements in `data` which are `False` in not_valid (not not_valid is valid ...), or we could change this into a `valid` array:"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:43.119342Z",
"start_time": "2017-10-24T19:12:43.096414Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 0.79814297 0.74479127 0.82455897 ..., 0.75297731 0.75297731\n",
" 0.75297731]\n"
]
}
],
"source": [
"valid = not_valid == False\n",
"\n",
"ndata = data[valid]\n",
"print ndata"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, the array is a 1-D array. It has fewer elements that the original `data` array:"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:44.979283Z",
"start_time": "2017-10-24T19:12:44.972347Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"original data size\t: 3110400\n",
"new data size\t\t: 1121705\n",
"data shape\t\t: (12, 360, 720)\n",
"new data shape\t\t: (1121705,)\n"
]
}
],
"source": [
"print 'original data size\\t:',data.size\n",
"print 'new data size\\t\\t:',ndata.size\n",
"print 'data shape\\t\\t:',data.shape\n",
"print 'new data shape\\t\\t:',ndata.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is however, one way we can use `np.sum` to add up the values in `data`:"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:46.908284Z",
"start_time": "2017-10-24T19:12:46.893765Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"463425.186595\n"
]
}
],
"source": [
"print data[valid].sum()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### mean"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Similarly, if we wanted the `mean` or standard deviation and we tried to do this on the array that has `nan` in it:"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:48.271301Z",
"start_time": "2017-10-24T19:12:48.242509Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"nan nan\n"
]
}
],
"source": [
"print data.mean(),data.std()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"but selecting only the values that are valid:"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:50.284285Z",
"start_time": "2017-10-24T19:12:50.260904Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.413143550751 0.308557692958\n"
]
}
],
"source": [
"print data[valid].mean(),data[valid].std()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"we get what we might expect.\n",
"\n",
"Remember that this is for *normal* (i.e. not masked) numpy arrays. Hassles of this nature with `nan` in the dataset is one good reason to use masked arrays."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### axis selction"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As used above, functions such as `sum`, `mean` and `std` will give you the sum, mean and standard deviation over *the whole array*.\n",
"\n",
"Often though, we only want to apply these functions over a particular dimension.\n",
"\n",
"Recall that the shape of data is:"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:52.489289Z",
"start_time": "2017-10-24T19:12:52.482263Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"(12, 360, 720)"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The first dimension here is 'month' then, the second is 'latitude' and the third 'longitude'.\n",
"\n",
"If we wanted to know the mean albedo for each month then then, we would want to apply `mean` over axis 1 and 2:\n",
"\n",
"In numpy, this is done by specifying `axis` in the function:"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:54.299426Z",
"start_time": "2017-10-24T19:12:54.292758Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(12,)\n"
]
}
],
"source": [
"month_mean = data.mean(axis=(1,2))\n",
"print month_mean.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Thats the correct shape, but if we look at the values:"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:56.250691Z",
"start_time": "2017-10-24T19:12:56.244941Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ nan nan nan nan nan nan nan nan nan nan nan nan]\n"
]
}
],
"source": [
"print month_mean"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"we see that we get `nan` ... \n",
"\n",
"That's hardly surprising, as this is the same issue we had earlier with just calling `sum` or `mean` over the whole array."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Rather than end this section with a negative result, lets consider an array without `nan`.\n",
"\n",
"We have previously generated the array `valid`, which is a logical array, but we could e.g. convert this to `float`:"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:12:58.193003Z",
"start_time": "2017-10-24T19:12:58.144715Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 94781. 94642. 92534. 92549. 92584. 92587. 92576. 92540. 92546.\n",
" 94785. 94790. 94791.]\n",
"[ 0.48161682 0.48146692 0.47911435 0.47913162 0.47917188 0.47917533\n",
" 0.47916268 0.47912126 0.47912816 0.48162113 0.4816265 0.48162758]\n",
"[ 0.36566744 0.36513117 0.35699846 0.35705633 0.35719136 0.35720293\n",
" 0.35716049 0.3570216 0.35704475 0.36568287 0.36570216 0.36570602]\n"
]
}
],
"source": [
"gdata = (valid).astype(float)\n",
"print gdata.sum(axis=(1,2))\n",
"print gdata.std(axis=(1,2)) \n",
"print gdata.mean(axis=(1,2))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There are many useful functions in `numpy` for manipulating array data, from basic arithmetic through to these function here for some basic stats.\n",
"\n",
"They are all very easy to use and make for clear code, *but* if you have masks in your dataset (as we often do with geospatial data), you need to think carefully about how you want to process in the presence of masks.\n",
"\n",
"It is often a good idea when you have masks to use a masked array."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## E3.3 Exercise: 3D Masked Array"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"**Taking the code above as a starting point, generate a masked array of the GlobAlbedo dataset for the year 2009.**\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3.4 Average Albedo"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you run the exercise above, `data` should now be a masked array.\n",
"\n",
"If you haven't (e.g. when going through this in the class), you can run a function in the file [`python/masked.py`](files/python/masked.py) to do this now: "
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:14:47.591299Z",
"start_time": "2017-10-24T19:14:47.459140Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"(12, 360, 720)\n",
"3\n"
]
}
],
"source": [
"\n",
"import sys\n",
"# look in the local python (code) directory\n",
"sys.path.insert(0,'python')\n",
"from masked import masked\n",
"\n",
"import numpy as np\n",
"import numpy.ma as ma\n",
"import gdal\n",
"\n",
"\n",
"def masked(months=range(1, 13), years=[2009], folder=\"data/\", layer=\"BHR_VIS\"):\n",
" \"\"\"Read globalbedo data when given month and year.\n",
" Parameters\n",
" ------------\n",
" month: int\n",
" The month from 1 to 12.\n",
" year: int\n",
" The year, currently only 2009 and 2010 available, but can download more.\n",
" folder: str\n",
" The folder where the GA data are stored.\n",
" layer: str\n",
" The data layer\n",
"\n",
" Returns\n",
" ---------\n",
" A 2D array\"\"\"\n",
" data = []\n",
" file_template = 'NETCDF:\"{:s}\":{:s}' # Template for the Netcdf path\n",
" # the actual filename\n",
" fname_template = '{:s}/GlobAlbedo.merge.albedo.05.{:d}{:02d}.nc'\n",
" for year in years:\n",
" for month in months:\n",
" fname = fname_template.format(folder, year, month)\n",
" netcdf_fname = file_template.format(fname, layer)\n",
" g = gdal.Open(netcdf_fname)\n",
" if g is None:\n",
" raise IOError(\"Problem with reading file {}\".format(fname))\n",
" the_data = g.ReadAsArray()\n",
" masked_data = np.ma.array(the_data,mask=np.isnan(the_data))\n",
" data.append(masked_data)\n",
" output_data = np.ma.array(data)\n",
" return output_data\n",
"\n",
"data = masked(layer='BHR_SW')\n",
"\n",
"print type(data)\n",
"print data.shape\n",
"print data.ndim"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we have the albedo dataset for one year stacked in a 3-D masked array array (assuming you sucessfully completed exercise E3.3 or ran the code above), we can do some interesting things with it with numpy (without the `nan` hassles above):"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 3.4.1 Annual Mean and Standard Deviation"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:14:52.622186Z",
"start_time": "2017-10-24T19:14:52.579453Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2\n",
"(360, 720)\n"
]
}
],
"source": [
"# calculate the mean albedo over the year\n",
"# The axis=0 option tells numpy which\n",
"# dimension to apply the function mean() over\n",
"mean_albedo = data.mean(axis=0)\n",
"\n",
"# just confirm this is the ndim and shape we expect ...\n",
"print mean_albedo.ndim\n",
"print mean_albedo.shape"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:14:54.732093Z",
"start_time": "2017-10-24T19:14:54.274110Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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XlOILznpcSzPdFF68IeKmKdhWsWmEYAtE8SNdcCFrw0BGMdO0sAQKDvR6EbZoyr7N7prQ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\nPvs2BncdJVoc5Me4G0aI94uyQa8qkhzpMGgrXN/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5ecs2I+SqwJUNSdmTZNrp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r4yutgi2LeYINKxFbrYFH1VPGqqS+Lz42V1kkREocJxZWPRYZp4mYhcT8CBneJk/Nw77zjpV/rM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\niqkXAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# do a plot\n",
"\n",
"# change the figure size\n",
"plt.figure(figsize=(10,4))\n",
"\n",
"plt.title('SW BHR mean albedo for %d'%(year))\n",
"# use nearest neighbour interpolation\n",
"plt.imshow(mean_albedo,interpolation='none',\\\n",
" cmap=plt.get_cmap('Spectral'),vmin=0.0,vmax=1.0)\n",
"\n",
"# show a colour bar \n",
"plt.colorbar()"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:14:57.205204Z",
"start_time": "2017-10-24T19:14:56.676363Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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GBDlL3/tORFY+jUqQUNzwEFNLDqMajdKdmc+O+jaWdB740eNTFfujt7PjJc9A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U5/5layLQKzO0VwtozekUFrthF5C/36Kyn8x0cIXJPdP7To6jFwapHRUz6g/7Akm9Mol9RoXy5J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TsHaEGBSSiSHGhfSxsga7hBfdOW24orAFsULCpkgzVELEYRmtPZITEkbl+RCkqSwISWZqBp9H\nMvwzVebKFd+SMFSRkzUS/HgLStEk54bhNxk/uRdZh9GNJLUGZGD0uDoqFVDZc4jDojUjUP2ZCN2u\nslwuXjBx/PabcdFf+dLj4w++A9l7P/2iMS6M8YbW2SjnXIjkgev2II6BwbJ2pW3TlK1jYTcD3pKW\nFDwxJgDUPEldWa9T+0WJgHoKlWxPYnIwnsCsYdlcOb/3jny7pV0hCiDFdeQFF/hVYrkCI4Yvrxgb\nZWEc21qgYLm2rjjOH64VUDMmKs/UFuh46w5Cf3OBA4+zkZSPTE2BdqY1qpxqRX2k3Umm0elXZzzk\n8dANtzoyYtYhNwE+vDdfFafjU7NvwY4LUhfKSjPC0kLl6kwA3rsIvd8sUwFZrZ4Zwcf6+y8pdiJx\nUNwK8PdHUiBDSFvCFxKmEkUcxshFwlTDWjgl8iGTEGoXCe+noB4hkhKGaXyYayXHQI6tGh6sCvoj\n3ng+jGqKSWopAL44lChLJqpWjm8iKZ611EprAAmHREI7OlCmHN7xYxXuk2c8VJTuXnd8iESeLxlX\n7dDKeqgBYCNBjLzw2Ob9cjybhA0BmR+qShAreS5QM2ZCpEnGOSye1bwvx5NmIS0JVUk11Krkc8Qu\ndVXG0/NR5DpyXHjMca+rfJZN8xwSOpTzCRdOxQYzWwtezO2AwsteM8Czj3Vx8W19fPN3FnHRK3Ic\n2ZfhW98Y4ceP/O1xr30iOdMhksu6s+b3Xvojqzr2+m9/tg2RnG555Zc+g/237Ua5jxVhtweMR2wk\nhLHVTs8vbASwIghr7ANwqVAivlAQiy9kRC7U4FPt/GqCYnTEFk6VBZzCtLzhADYG6UMvwndQMU9Y\nVaEQBcojTetEsyi2LHxb/KbIFSRHXzyv0BsRVEKIVmnHFruBQRZJEZsIU32uMbDpDRuRdg9juBBj\nMB/h6EGNtEOW/c3XSrsaL/ub1a1c+cB1e1xJ5FNZj+NTs2/BK67qoix9bQWBryNlcM316iRnYHLu\nRTszHDlcMqelNBzGim3VxI4nuIZrSygFh1BIrn5kMPjcpAAAIABJREFUOScAams2CBdHOCndHodJ\nSvhz8f669xcqTgAOPaAIMBIusIaDr3/gfxsqPB3sEyWnLEoiqEloSMSJ599wGMUrVao9X75tEh4Z\nLkaI0pX8AOd9i2dv94tXDMD1RSlJsRWD2RNPw1ROKfoEsEIsxgpR6fkhceY9+6pkuP+ExpkmpNYY\n8sWvAgNJ1zkMbDxQLRQk48FZMcp9Dw2RMNOjzAlxyga6zEn5UDVSSeuIg+OrNJ4VQW0kDCWGIiMk\ndcMz7IeubEaK9saj8KpI+WdSnk/XJvh7K6ElQZbqRm59nMVQCzNjmlVPy0JCw9rVxJDqsfufirB1\ne8SGs2an6NE/WsaOS0qUucL0pvIFGxdrImYl+f5sknWHYNy1cze2n58iijmFLU4su95OsifKrvju\nO24C5/irGjJQlTyZSewP8BY5UPdcBCGQcray/3gPQZxQzbAJEY1QXCqiNUbSTNXaIGlZIqG3Imll\nKjYoAri2OWEIhB4iDVXgncqEHlk0RaB0IaYZG/ZJuxpVRRgs2PDQIlwFx25XoT/LMOrL76qXsd57\n/R5eeMp6wKs1KsIS2auRvddzgbHBsnYFvdw4KkLaIfSmsaJ9J5OHbrgV/c0FijGndB47UjmyrxSg\nAuAKS4kBORxwLQUJoYSGqjDhZSnrxJXm9ugHoxre2GymG4rnLCKKqgmJA3UvWhAQ/7sJRL8gAyGU\nJrG0qSBFqQu6EV4jJI4CnpAp0L+cH2CEQrx9wKMcScc4xCJESkIkpwpCiYJOFGPLhRCFGPAZQgJm\nWRCyqQrjZQ8vNVGgfMCNlFCnoDZhdlSdX1IfBzmn3Bej4UJgwmsQBS/3QQw8f546MtEk6bqwTID6\nyPVCCYmb4bMk4w3484Rk3ROhEZNSb8MxCq8NwCEezXlZPouzxKERTy6WQoK9mQpRyqXkL7799BQQ\nPNMIxqWdGfO7F64OwXjTI59rs0jOBnnkrW8D4F/q7kyFfKhcGph4h6SYx+CqyimfZuW5CcatuaCr\neklkyfAAfHVCx7ZXdUUSVjEUCUsBh95dWE0PYMXTVBTilTnkozF5h5MGUCeLhZNPs1hRaGgJlD8a\nMokzhJnF+FutEfH0j9/s1peIE85EKW2oSBZ1Ot6kcd9rb/XjHBDyqpJc5UAZ507PYHpu9Wm+nzv/\nRizOV3jN9RkWjypHgM06vIDVcKBrCMXGTTGOHi79qplBhcJJYbU0I5ff79YOCWKucex5EZMm5eNJ\nOPGHKaXNSX+S4qHjQNdh5kczc6GpfMPzhsbHJOOnqTxDz7wqPLcizIApRsqRDFVk0JnWKEYKVcnh\nOoDDEMP5GN2ZshbCKQM+iJwj5D90pstaXZEmUVJFBqMlTqmucuXSgsfLkXuPjCFnZIhRL9eX9UDE\nKZCxCjM8JpEvQ3Js0vE7yiDsNClEFYZ0QkMnTEFtZqdMMg4mGQLh3BCKaj5nAQJXa49eGW7k7cal\npIa/kfdJyrOLIza7LcdgIcbUbIk41djy8e8/JXWSnGkD4+XZjPnQjutWdexbnvybNkTy/YoYB7vu\nPD4M/9hNtwCAi1myZ8Iv/eN7CZu28LBsuXiEwXwMWbtAxQZZ5GO7AJB2uT6AGCOZQx9EERCyzBsJ\nQtasxT8Dj1UWb+Lt/pg0IoeMiOfqjA5rZBQ5xx8jGzrJR2QJgNwOKQMM2NQv2wejPdQpE6CHooPJ\n03pNJoDgJfwC8HUXjwWzQwduTQlHfgMsxMlQ7FNvv3klYdASDZOOwXcf4TTYq7/siVhyn2X9iOUF\nzhi4+Dj3uztVb2fardCZ1qvORrlr526ctyN1KbSdLrmS2d0uZ9Hse9xAV2w4FIXBcwe0MxiUYmMh\nH3GtEV0ZoPB8Ha3hMnl4fGAzR6KV/BntDTfHA5CFq2x7m5N5OHlLBcWQYNjkXgArY/zeCFlpXNTT\nFOvQuaA2dZSk/nvfDp+S3CSaAp4EKc+oUqiFawAgSvmCsdTAsApzMB+57cPFCGlXIx/EkIyTqS0l\nBkc5cykfcNGtKDHIZgAUGuOBQlUQNmzN3QJdZU4YDxXihI2HsL5IkmlUJZMxixEhij3KE6cGuuS1\ndgStEWRFjIQ0QF5cyqd9FuJEo1I8DsZIOMKHblQcoAoulXhleCd0jOTz8VbnnMTRad7LSem3zpBd\necraMxG2QT57/osPK4dGRpiWKiixlABfXuJlBeLEYNuuEbIZYPhghGyqqi2Etx6kJXmeRE43gvHo\n7rdNjPs//eM3uxhy6Jk3Fx0SQlIUcw2GKPUwvjvGTghVRc5LECUcwqziRcmEX5Zwudzina4m7ahp\nhMhLGCpyCZuEtRHEUyttqmLI7BdkIEq082RCg0jGCQCyKS77bDT3oVkYR2D75j7hDijFLHExeEKP\nKqyxIPuiyCAf8iR+4V94Y+Oxm27BeDk64ZLtT739ZhQ2tbHMuciP1Pvo9DwHA4CrPrr3+j3Qmrk5\nkh0ji2rFCWFus0KRE8rSuMJnTTa8VHgUEeNEiJhFzllH4TLcTcKgwNohA79J2AzXrRC0Kqwh0VQI\nwtkJxT0zqUe7mmTIcJtI7VkPttcyGIIwyqRsgUn8kXCfnC98Vpv1PYA6ZB72P0T1mkaKnKszzTwG\nUfo8Vlx/o8oJ2ZR24RMJuYbvcsgzKUbEpOayHhbq9rlKalmoGi/K1bAgU5sr4sS4NVLC8dTBvQ/H\nU2vU5qVmUTFSbFzzu+DPd7waKE1Doxk2OZFMQqfCc54MAZlUPyT83aSF4YTYGZK2pRJtknHYdmq2\nxGiRJ00JcX3tH/TEJQ5eiJxpBGNXOmN+e+sPr+rYm773+bMvREJEHQD/CCADIx6fNsa8n4g+BuD1\nAKRG878xxtxPRATggwBuAjCw2+870TVOl4Hx6O631TIWSJkVyMZDN9zq4pqdaW09Z59vziEEWz1P\nEyq7XgDAL2bHMtTlpZftwloPWdjO4AiIdY7/YElhkmIawoKTMhJkISgACDNFgHoYIJz4ZPKJOxqj\nxcgpmTCcEk4qYiyFsXgpNSweMMeRvYfJ7VkJc0q75HO42JMYPk2CYZNYdrzPk8IsD//YrbXwVVn6\nbCGpjplmypFIRUixt5vnBstLmqs0KkJ3ijAeGZd+HGYRhUWZwsqCkpET3rMkrS9yxeNGjt8TZjKF\nz0kYw655fvHKkMLxxmsS30H2hUZvqLCkymKcevg+zEqRzIumQmku1y19a0r4nDSv39w/ScRAaBog\nbr9mRS3jxOPqjY2w5HUYJtEatbU6xHDQNjtDslHiSSmhgaKWNsnS8LK2Sz5USDKuSFqMVa0MdziW\nURwUCmsYsHL+MMUWQK3KqSAs4hg0M13Ceepk96GZTRL283jhk+Y9mWRgNA2b5nGTrtOsFCrSXF5+\nad47Y/2NFRaPRi6zp7eRjQ2jCdNzBaqK8Og3gTc+8sLr7KyFgfGBzdeu6thbnrnzrAyRjAG8yRiz\nREQJgC8SkQSof9EY8+nG8bsB7LJ/PwTgw/b/KZGvXvM2VJrXqWg+CF++6hb3WVaRjFSY/qncCqJe\nCEUe4fzLBzYcwmlwYmiUFubMhxEiW+I47fLqjD3r6YyX+SFlWFWj2+eJqYhtulvpPfRKeaVgNDDO\nPfJQBpO8VK3TKoQI655eKM20r9C4AFCDlcWCl/OFpK9aWiB8/NcTBw2SzCslo8lmrgAq9WmLZSPd\nUAdIh64AjAV9oQAtQS0FGPCZMBIPdymFgVGy/7bdjlipFHMf8pHB9AZeHnuwxOdJOhpbtuXozVRQ\nm7tAUYJ6MdRMhoV/msficwnyocLGHTmi2ODA4xmjS9pg8VjA1QgIlvVMIz+mZSmLNtXvnyyVLcpD\nMoGSTt3QJzKIUj+phgZX+F8UeoiYeeOlzmMA2GiMIrOiTgbAhqfR5BeYgig5+z2up0oDcFyBGvRu\nJ3nJDhERxVfmfjXPJpIBiOftjV9BIJqGQ6h8wlBKaNRQxL+lIPzGv5d1SeDaKl5+3NEuZBcHhGZ+\n7tkbFsST12GxNWsSBVgOwHBeuaqio+UI+YBJ49lUZfvFS8oLl6Ms+L6Exmdl+81pttbQdCmrPE8V\nYwWM6wo3H9aflfHyZFQirLIZ7quK4Pgg1bk55zTDL2H12KY44zZaaSiJIRoaMxT5faH4UvV1cmnY\nL0EqSQEbNmkkWYX552LMH1bob6wwtZEXwNtw9TQWH1hCPlCY2lgi7gA/fP0Mnrz1FpAy2HxJATWT\n4diDJcbLkbsvp4sg+kLEGKA6iRG+lnJSA8MwxLFkvyb270Swxx4Af2h/9/+IaJaIthtjnjnRdQ78\nxI2oCoXZHQXKEbBwKOEX2DLEp2YLjJYjzG1LMDVbYelIjL/fdRMAz2EIszUGDeu75uEnhKaH9NyB\nBJe/lr9UYwWAocwwhWyShAQ2ADA6ZJU3meF1hj8AdC3hLFxAKIo9bDnJYncx3opqkKiEPpoMflFi\nAFz6mJRQZv4IQ5GylHaaMgGtHDNc3OlrjBbZy/JrhagVMfCqlNg79yU0eJJUlAI5gmUZeo7BhFNX\n1HKfDADliKnDxcjdu7LgEuqLC1V9kSwNLM17rkpZKiw/nDnEJ4qVNczGADo8aecGS/OJuyeOVJt4\npCiUWgZK7D3bbELNiOZkKfd3Yigi8oqSIgCNNUDCe+6eqQjwr2YAvQeGZhPpaBI4Q7QPgDWO69cM\n+RvymxAKlzaFWRJ8LmqcZ2VohZ8DD/3XY/STka6wwqX0qUlQBNiIEENf2XCn8I9kTEKeBOBRJHlm\njSG/xLlmZawrQjG27Yx8m8VR6djl4l2Vy8rWiij4ea5Kn+LKNS3s+htWuUuKsSMny6qrkYGKV45r\nGCIDyBZJs+OsJtfW8EiWD+EZjVoBNBVsd9si41Ke3bhU3hhpombhiqti9IXk3WYozZcXDxE8437P\n7TGoUC9R7sOI7AC6UKjhlYCXj8Y4sq9AdybGzNYcyWyE5WcMetECsqkIy8diPPHVLtKOAakYvZkK\nnekSG992Phbe82YUI4WN730dDv7vr6Lbr7BwKFmRwXOm5GxOU10VyZOIIgBfB/AyAB8yxnyFiP4d\ngP9ORL8M4G4Av2SMGQN4CYDvBj/fZ7c90zjnuwG8GwB2dLrovuY6HHo6xtPf7GHxmMZ5FzGpcua8\nAmpzF6rXQfL0Auau7UPNddD7xwPob2bkYOYiDVNoUKIwPMgexaP3dTB/lL2FFYzlSlJJ6wSZ++8l\nRBFQVRo7dyWoSnKFuERJp92GV6Y8mSwMf4xHxq1NwCQ+rwiyKe2UsdTg5wIxPtsk5CPIEs6ATKj8\ncqepRmeqciEehl0DqFb5yTYfKs9YLwFjlJs8VGwQRxpJhw0WqREgVRmVAjp9Hssk43VA5g+kK64D\nyAvvyZTNjJSwTkKZU20VxyIo/uO86wDR6fZ5kTMV8XNBJEYSw8CdY7FbSMndn6CeiFL1tVfY64Xd\nZwDFJN0m8735/IShBxHxknUu8WOraI2fZMMspNBgDJfZdm0zK8MLk2BsOU9oTMh5ERiTdUXi70Hd\nCF7Jy1DyTAaGbmiwiwGrlGnA4SvXO/HXx4rryDEm6IdC/dg4yHaRsIC0mesaBCe11UtFgQPBOigp\nL+Xu3i34drsslHGdl+AMLzmWvIIV40PaKqEOYzw6x+fnzCcZ85B4HIbLtFa1Y6RbxbKayMUIC6pN\nWqk1rB0SFt9qZpOEYyRjHIp7L6TGRVxfHI3PWf+NrghhFL4Z8jKGgKoeBgnLmstvSYfvhnLtEaNQ\njLDwPfHf68a+Lnkuyazhd2RfhvwRXjhxbvccvvYrh5BmBjuvHCOKDUbLEWZ3FKBOhAOffAakEnT7\nJUZ//BX0txkMjygc/l6M3jTOuBjjCyCejbIqA8MYUwG4mohmAfwlEV0J4H0ADgBIAXwEwH8C8GsA\naNIpJpzzI/Z3eOXGGXPsQIrOtEba05ja6MsPH3y8g+oRoMpLAD109w0QJ0sgFTsOBPVSEADVTzE1\nUyKa6+CKuXmYgp+0wSHC0uHEkRQ7/Qqbdla8X7M3fPDxjvNasqkKSVa4Gg8SA61KcoVsJD6bdpnP\nwLFQYPulA6iYMFrgl7CzkbB80HsMg/kY3T4bBd2XpNBLQ6AyoE7E7Sk0houRi+0KCjBpNUSZ7IcL\nfBujYJXKcIEngb6rirB02GegpJmQMgmA/5x2+HxZhzC9qYCKDLobKn7x7Rh0Z3iWGs7HDvaPYtTS\n42plkHMFwCsB9pRkArFef+DFifIXL0Upg2JMKIvIEj5VTWkVmlEXMQDDqo0hCkXKo0NAPY8fqHtf\nzbU95HchQbJpCEziAgjkL0aGJjhEQmsgyuqcjLq35tsmhYiaiJTRQNQo+iaGaHgvmgTKZnjFoxA2\nNn+clFQpwAUEZEoNGF1XNlIv5UTEvlCOl/7qzhdA+m5tiyo0nOBIkf7ZoBq3Iu1Wth6McgaIN7JM\n7VxlThgtxSDiEGna5XVfhouRyypzIbuG9w+sREOEWC0SvqOuImeqoUtVQxllbIQIGqaOl7Z/Guz8\nNO+xjFe44mxVrUTiwpBmaLRkUxUvG+9Shf010hmF6Pw+VD8Fisppdz0oYYoKyDWQKpjlEmZcwhQa\nlV1KocbVkdBUsDx8Zcmw8izKQnaA5Ywpgi59kbJ8GGFkwxgh56TMyc0hzVCi1DDRGm7eePIPD+Pi\ny/hZWD4au7F+7nG//g3AYWY64LlLs1v0SZ/f0yLm5DyltZTnlaZqjDlGRP8A4EZjzG/YzWMi+iiA\n/2C/7wNwQfCz8wHsP9F5o9jgwfvCUTJuxc9J/IO6DRMB/1fSLuxiFyjA/o99gTUA+LRBgPD43phX\npuwqu76Ahl6Q1CeC1pGtvqnQsTnVoTXslI1SVjEznP7MUxlvj+rtrj8EcbAvDdrIEpYcb8okmNz/\nXrnfe5HVCQ2ct2fPMR5PfiGKJd6+vAQcOSQXjFYctwIZ0ny/fGzde9dhu+pjM6kNda95cp8njQ/X\njJBiZWFssn6uhpdVuzcrvXj/WxP0beXxvM9M3Fc/ZtK2cKxWPvMr0YvASGoUalspVDuufkw9jDE1\nHWFqA0/cwwFXunVHKj9JOxkH+wM4XIy78Pjme+DQl0aaZUiWbhqAEpeXUtShUmpmdokycVkSCgAS\nEBmUY+UUcrNUd/gbgL3+0XKEx76l7fvvK3RV1cr7HaaSyxhz+/j4yNavKUttw25S8wQAVBD6g5uz\nfJYZF2oDeK2ftGMcSfiiHxjgwCNdT8C1Ydctu3IMDhE2XD0NKAIlCmZcQfViQCmYogJFBOolzCGJ\niJ2efgozYJKKKTT0Yg6KCGbE8y31YpRPzMPMdUBJBOpZR2djx94QAnViUBqomVq8hFZuA4A4ArQJ\nYqY0+UXQBkhj/r+wBHQy7s/SANUzHNWXthqtgVyD+imimQzVoSGqQwOYUYViAGfMhOHK5nMpWUEr\nEU0bllmDEIlBHYU/2+SkBgYRbQFQWOOiC+DNAH5deBU2a+TtAPban9wO4OeJ6JNgcuf8yfgXFNGK\nQfLPUQgTh57nyvPUX+qVwuf058srDy+FBaz4XHDLY3uFLRCej83ryqZ+BgqCvd2AtFQrEOPPP+mz\nP+75PzSTCHOT9omEbXxe1zmJ8dNkuvv/daXYXJcFqCu/F9I2+X1T0TqOzgQFf2KjrTEnHmeMQ+4I\n4PvXvF7z95O+T/JIjve7ZpgP8IZct6fQ6SokqXGFqBih8SjLynRk66EmBp1+HVVpIizN8IvsE28e\nqHM0tAqRBbhzhMeF/ROvWwXXAmxIL1joLBy3qlA1JEE8WllrJE48kbKyIQVZt0N+I6hMt1+xcosI\n1VBjx6U+pOie8UxB9RKYonJhWjWdQg8KoNBQW7pArqFmM5hRhXLfItRMBjXXYaWeKJhCw1QGKDSi\n83qOKGrGJUxloI+MgJSvE21mi4+yiLkHVpGqmQyopvHSa0pUR0a450Nj7NyVYdP5YySXzGLmErj2\nUSdGNNcFdRNGHJZyUBIBEcGMSjYwAJjFnNtWcLvv+ah/zi65LMN4VGLfk4SalQng2t0avQtSUIcn\naTk3ZRFI5o4kAiWKtyeRMzZIUb1MsjrBS+gMFAI2b7RQRALqdRDP9mGOLEAfGTojShDi6tAQelCA\negkoi5FEOfS8gaEmIlZ3HiYhFHUDem0QjGoVZQ1WI0R0IzgDNALwe8aY/9XYnwH4QwCvBnAYwG3G\nmCdPdM7VIBjbAXzc8jAUgD8zxtxBRPdY44MA3A/gZ+3xnwOnqD4KTlP9qZNdYP6QwfK0dgtHzR+r\nnNLOOkw+FOKeLHEN+OdMFvUS8qasnyGLToW1CIYD0zAm2KPQFVmuhHKLeGntUxqrqm7U1OpOBNUX\nZZ/wPEQ4tZFXLS2ChcOa5FQA6M9EtdVPmxK+a1IZlI0ehf6GCFrz+ZeXNKameXnw8Vjj6OESWabs\nkuE8TuEibFPTEZ7dn6OqgLlNsVuhUMbCx/rqntokBT2JLwCEY6Vrx05S3OHYHs8gm3Rud57jkJ98\n6ijV0KJmVU0eX/5/6as5I2Dbv3wJnv79A3jqd9+BP3hPhP8WfwKV5dFI7Fs8b5E6aZKQ9jTO++Qv\nYPyLv4Fi0WC4GOPwvhQ7Lh2iKghTL1EwSwV6/+Nn8di/+LhbWTdU5KG3JYpVFryqKm7P2HIgxLjg\nPvvnTkItIbGzHjYJ1r0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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#std\n",
"std_albedo = data.std(axis=0)\n",
"plt.figure(figsize=(10,4))\n",
"\n",
"plt.title('SW BHR std albedo for %d'%(year))\n",
"# use nearest neighbour interpolation\n",
"plt.imshow(std_albedo,interpolation='none',\\\n",
" cmap=plt.get_cmap('Spectral'),vmin=0.0, vmax=0.5)\n",
"\n",
"# show a colour bar \n",
"plt.colorbar()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can see form this that most of the intra-annual variation in total shortwave albedo is at high latitudes (but *not* Greenland or Antarctica, for instance).\n",
"\n",
"Why do you think that is?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 3.4.2 NDVI"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It might be interesting to look at NDVI data in this same way and to examine a few more stats using `numpy`. Even though this is a broadband albedo dataset, we would expect NDVI to give some indication of vegetation activity."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### min, max"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:00.239197Z",
"start_time": "2017-10-24T19:15:00.004495Z"
}
},
"outputs": [],
"source": [
"#import sys\n",
"#sys.path.insert(0,'files/python')\n",
"#from masked import masked\n",
"\n",
"vis = masked(layer='BHR_VIS')\n",
"nir = masked(layer='BHR_NIR')\n",
"\n",
"ndvi = (nir-vis)/(nir+vis)\n",
"# set negative and ndvi > 1 (error) to 0\n",
"#ndvi[ndvi>1] = 0\n",
"#ndvi[ndvi<0] = 0\n"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:04.473226Z",
"start_time": "2017-10-24T19:15:01.636729Z"
}
},
"outputs": [
{
"data": {
"image/png": 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k76DLSLK+8r0Tqu1c4i13XcNHTzuVG599loRhcM6SJWxrbaWrN0V1rAQhBI50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pXc8Lr/4P/e+H2ufdW3KTsO7SjiWYMDPDY2RpRIxr02e/eWATXuXfN9bnz91XzuOS9iXqlEzrSI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\n3KVrePFPT8cwdZ5/7WmAMlKUi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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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r38eCDz0fXRNEsWTxyjmMbB5PBvqQes1D08DQNTw/IooluiaIJcSxRAjQNYGu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cxORmnLHkTtr5Rk5b9YZ5H/u44Vdz0bXfRxAmkgapfZj/2fowa+ubXLnDtrj0nmu6pZVW1qSZ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\nZplllllmueQyA4xZZplllllmmeWSy/8HQOIf5v+ET8YAAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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Wyb57h6q/SOSuc/bX4frR+N/mQP7my1599ffedvUejBi8eir/XgzCMP06AM4X/5FDvbcA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6AAAg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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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Rk3PavemmXzETTUMP3rSo1G1pgqpAYv4Jv923RdXRtN/NxOuPIBtC4DbrxcU2\nexPzR80tYu0mD6OHZyCE4MdllTx+7Ylk2ay8uHot0wYVcOjQERQ48hEIPGG9QuN577/GM4c80LfH\nEbj3zpMZ6k5jbtEoTIpKKBrBac5HQff5N1eOTA4oFTQHoQqS40KSY0GaK6LqAaYCKwKFsNyGKrJ4\nbcPHLK2u5YopM1hctYn9zr6PaSeP58p9Z3BA8Rhj/JB+JnEeZFrBH0kEa3bbxdDZAzLHBtWBjuf/\nAhlzQDE//v5doBviooe8/cglHDzk1/26ja6Y9Pf5/HDpGwMvPuaneGwfN8RHG0wFaVI5fgLhnxog\ny4p8tu/fDsRJU6A22HEDm4p87Yc+325PEBdPh3WNQMsbpDh1d5R0vZKnqgqEEAgB0agkEohCMAre\nMJgUXXhE2/ltLQryjfeAwsSkbd4XKXQe17IPp++RsIIUTs+nwROi6a9fJOa7L5+JpyYA5T7d7Bfp\n4DxSBUhJPFnEPSmLu885HIfJxJC0NAY50yh0ZKMKNxoBPOEGXly7kiFpLoLRKMcMv6y7h68NYv5E\nDjtvL4amZ3Dw0BIOLJ6CJn0owo4qMmKt4nVCNJLTbRMd13dGXx9qUpBqa3SxoggXUgaISg81wQqy\nrBloMsIpb7/Iq/fpx3HK0aP58JzzelUSe03DU4xKP7XHy/cXqTxsBvLNVcwrhQI7lPt73I/+foAO\nBO5JWYQiEkWAb0Vd/22oxKXfgzq75/Y1RQ7Y6mt/XqaV2686kr++9DHb//xxn2/6lHcuYeE3P7Hh\nhg8HXnwcmeJ5+aghPtrQH24Xccj49h++fUxXN643Nv6dw4f+HyFtEUe++i/eeWBRh+sRx+4GeXbk\nAwsTAWnyrRVt2rovn4nFrBAIRpGArz6YMEVSG2z2Aybvv8sELjNYVcw2FVVVsJoVhg3LYub4Udw3\n+y4WVTzM9V98wSWTJ3P0NU/oQgbAYQJvhLtuOYGTRpVSlCRUSu8+hKA/hNVu4dh9duezTWUAWE0m\nqirqaar3suajrYkI/GAoyvS9RnPC2DFMys6lJK0QTUaIxEa83e6rZYgrD4tSQG1wA4+uXMLDb3/G\nuj98kOpP0gJxUCmP3XsmJ42eiv3Ca/jXZUdx2ugpWNQCpPSjCBfNabWxN+I2abW61SPZ1dL8P56a\nG/8PoCCEGYCIVoUirAkLC0gC0c1UBxpoCgdZWL6d80qv7tG+7QyI+RN10ZuMKtpee26znonVCTvK\njN5aVOyGvTawAAAgAElEQVR25MhEynpn7fqb8YcOo2RoPkIIvv16LRXfVOkz2ju+XTDmgGKqa/0M\nLs4g6A8zZHg+X32xFk+Vv11B1lsO+9UMPvnkJ5qW1/b5untDKudY6995wmHDWb+xrq1Ys6rI11u+\nsA642yXXKTlyfGqN//2NIT7adCLmdunNzafdm6ACqAoUO/U3c0XARk+31jvn/D1QFYVtGyu59OBZ\nZFqtvLZuPS+/swRfuY/84W40DRp9YYKr6lO6yaa8TyPcjB+bgzPdQWONh1XvlenPPLuqCwlVMGd+\nKR8/vLh7Kx7k0G9gwSh/+d18/vvpN5SOLuazL3+kvimMw2ZCETBokJvlyyspLnKxeWWt7upJtzBy\nSi5rP94KmVZOOHNawh2zpuEp/r1iOf5IhIVrNlBX2UBNQ5Ca2z4l66p9GTU6jx9XlTMoz8n2Si9j\nxxWwdk0lNovKMfvvwUElQ1hZW0uWzcae+fmMcBfQEPJyx+JF/Fhd1SaAL1V+/8XVfLNtK9fPmMHd\n335LMBrl+cOPw2XKRhHpMaEQq4wq9fFYktNvE79Hwv3SsrKpxBcbr8aZaCsJJNoJYUegEJE1rK7/\nMVEMbldkoB/AvXKNpJmR/1vaYt7lN8znx5pqSnNyuWOf23Beto/+UIkJ/d7s3313ncJvrni6x8sn\ncJjAF2HIPgVs2uplj6lFXLX/TJZUVfNDZSU377MPDyxdxoryCjx1TUQjGsvfXJ/augc7dddtpR+E\n0N2lfcxNtxxHhdfLP//ydkrtHeMz8dUGGTw0jS1bvbCpqc/71ClFDopL3Gyv9hPZ4gVfUkxd8jtF\nnBFu2Orl4ssO5Om3vsFuVSlfXKW7w18Y2PFTRK5TcnT7FaPb8PDXhvho04k8l2TykMT3PvHFxk1w\nZoWM8ZlomiTTbWFblZ9wbVA/UYJRvU1yvrvbjJJnx+UwMX3vkZRkZLBw+Trqa71sq/ITXdMA+Xb9\nok02KdpVsJkgqulCJ/kE7gG20kwCFT4KRqSTmWln/aYGglu8uikz19YiHiNlYm9M8eNr/vUMHrjk\nSP703Ls8feGJ/OGTzwCo3FzNT+9v1kVKKIqjwIGvMQSqgs1hIlAfBFWgWFUOOWg877y3kmnTS7jz\nwP3Y6m1CFYJL/v0KFdt9CKuK9sBCACb+7XB+uFQvoZ5z9b7UfFfN//3hMNbV1fLll2sYU1qAlHD8\n5Ank2W0Mc6czKiMPs2Lis23rOHJY24JmqfD6xr9x04JP+HbRFtjUhO+tv6IIB5IIJpGrjxgaExt6\n0Giz+GhR5bT5QMYES/KJI9GkF4GZqGxEEXYE5lgwqsKzaxbwz6++3elGTe0O7V1nhdPz2bawot+3\n3d49oaMMCzGvlJN/N4enD75/h4ilXm8z16a/wLhMZJekkZPtoHTsECbn5/PcF4s5bd89WVtXz3er\nN7Lk9bW6FaQPX3p6y6yzp1C1tZYf3ytLbYECux5Mrwiysm3Uflfdvx1sD7OCaVgakTUNeoxcfJDM\nVpx15QGsraqmodrDih+rGDsqi/12L6XG72NjZQ1fnfn8wIuPY1IUHw8Z4qNtJ5ICTlvTp0Fhcawq\nphIX40bn8MN32/WLVwB1Ici0IJxmVFUQqQ3q8xpjwYidmTrdZl3QVAb0k9asdP1WYVP1wNCO4iW6\nQoBlTAahch+2QieBupjLxRNuDjbtCouiB6gOT2PS+DxqqpvweMMMKc5g+fJKSopdKEJw4gHTqPP7\nWbZlG7sPGcymxgYAvvxyNeMnF1OUkc6eBQV8UFZGIBKhtrIBRVWQmmwxqinoWSglw7P5dtEW5CNf\nJ6bnXL0vQ0qyGFacz7CMDLLtNtLMZs4bPyO2u1YkAd7fvJJqv5+zxl2V2mE6ZLx+Qy/3628ybgsn\nnT2Dx+adgFkpJNm6gYwkRqRtWSo92d0SLyKmD2IX0aqQRNnv6X/wxenPpnbcdyFG3nIA69Y3kF/g\n0E3/+Xb2mFVC0B9i67ZG6r7vwcOig/iLVGgRBxW/3u0q8tUf+k1spE3MwvND5y6EPhEeSWROyWlx\nbM1j0ikdm8vSV9cmpqmj0hla6GTd4sqWWXA7iIzJ2Zx22DQefeUrfYynmtRiPkpmFlC2piERZ9au\nxWGAGTwjn2uPP5D/fr+MLesr2fRDTbPAS7dAQ4hhswbhSncwacwQ1ldU7wDx4ZIcm6L4eHDRz0d8\nCCE2Ah50Z3lESjlVCJEFPAcMBTYCJ0gpO41sEm67LPzt9M7foAodsK05mKi1KEn73cxm/2L8gdpT\nMq16vEPrddhU/fnjjzZfHIMcKE6TPrBaVQDq9ItNGelGawjprp6KDm6yFkUPDs2wwHZfu/GL8r33\nEfMO6LCrGZOzqS/3Magkje1rG1pe7IOdsMXb4bIJBJCdFK1fYMeVY8diUTj/iH34ZM06xhYWUBfw\nY1YUZhUX831FJVFNY3NjAw3VHrwNPjzeEBkZdiKhCO7sNOaUjuKumbd3umnnZfs036RKXGRn27ji\n+P1YXl3F54tWMagkB7vTxhefrqXhrzcRjAZ5ds1SThk9GQVBhb8+MVBeR/xt6c08/NFCJo4ZQprV\nyqvvf09RcSaLLrwBRcRdJTEBIiNoBGIZK7FpsWJiUgaJylqEsKPJJgQqmgwSlRou8yFdH+dWvLv5\nHxx19zP47/2i3fmJB1k7vuWBJPP3s6hfUsMbD1/EkqpqVtfW8Z+nv2pxPRrsQFwmyLLB5qaOhywa\nKOwq+5+xOx88txRLgYOQJ9RxEGgygxzkD3ZitahsWlXXbFXOsZE2yMHIkTl8//mmnll8B5IFqwZW\nfOR1Q3z86+cnPqZKKauTpt0B1EopbxNCXA1kSik7fUUVbrvkmPH6zWx4WqJwTWvMY9L1jBj0TAF3\ntotPHuleZb1eEQ/kjGdvuPUATkeenUy3ha0ravWLP6aKybLq1o8OhEVKWFXk6+92KkA6Wg6bqvuP\nt3f/IZE3NRezWcGkCsq2eSkucGKzqni8YSxmBXeGA0+Dj6JheWiaRn2VB4vVRFWlBymhoDCd7y95\ntcvtiPP20sVZkYODDyrlhyUbUYQgqkk83jATdivC5bKz4L1VzN5vFHazmWcOPZagFiYUDVPsOiGl\n/dnoeRa3xYlFMdEU9uM027Crg2MWjObYDinj4k2NDQhHYp4mvWiyiapABXm2IiRR7L++MuFWShUx\nrxT3pCxKJxby6gmncMLrLybO471Pn8SXTy7TU6MHORLpyzuypsG0fx/H18+txDI2g2HFbraVN+HZ\n0Nhvb9rJ7pMek1QPwmBgmXL0aMKhCCOGD+LVp7/t2vphEvp9Nd3C6Ik5BEMRNpf70NY2tmlaOD2f\nbUure/7bDnbq6dYmhdzBLjQpqVkVezeOrzOVgN6OxtfZAeJDHJea+JAP/PzFx0/AHCnldiHEIOBj\nKWWnY/4Kt13KxpbWAXHERNyj02lcVpsQJB3dgPvU1GpRUIa49BM/xwa1gc7NfxZFFxn1IRDgGpGO\nqgpGjMhhy6ZaahpCDM6340yzEfAGkRJGji9m409bWbPJk0ip3SkpdFA4JI1gKEo4ohGKSDJcZso3\nNzF8VDpbq/wEvRGm7FFI6fAiymrqqNpSQ1aBnr46ubiI++fe02KVY26bh1AVZFRj47YmhAAhBPvu\nO4q6Wg+RcJTG2iYGjyrAZbUyMS8fq6qwvq6ecyaOxxMKsba+gc82b+Gl+Q91a3fyrplNKKIxpDiD\nN885nSLn7i3GYwE9gFQkyqab0KSXqKxDEm53NN6eII6Y2ObG9e1Tl3POs6/w7rln0xj2kWl18cHm\ntZx85wu62C1rGnABst+LZ/DRQ3oWWvHeBdR7Qng2NenCujOSsrT66tps4dLItekPh1C0jQByjs8E\nwLu+sVsPKNNo/boNrqrvunFH7IyCpweZMX2BY3wmwZBGtDGku6Cbwvo9MjNWGbiufUHinpSFPxgl\nXB+CCj9ihJs0p4lBeU4aGoOUf12pJxBsTsGi2xmDnYwZm4WnKcS2dQ0ItwXZ+l48yNH9F7cdID6U\n4yem1Fa7f+HPSnxsAOrQXx0flFI+JISol1JmJLWpk1JmtrPsBcAFAEOGDNmjrKzj4KSnV9/FKaOv\nYPpjx7Pw7BdS7t/Mp07miyeWdtygM79ia9dNmjn1OIrhadhsJoYUOBGqQm2tH6tFwem08NMP1fqD\nx6aCJ4xS6CAvy6ZfVDsbI9ywobHtMYpF46MKXXjFXUs5Npz5dryBKKxvBAlzL5jKR2+vQv5bHxRr\nyv1HMnlUCXUBP6/MfxjQB9a669tvWVtWzsQRxazeXglSUl/VyEHTJzHUnUZ1IMCvJu1Bha+RNIuF\nke6e1bYQ80p56+GLueXzL/n45GsQwoZAQZNBQMZKqSuJ9mGtDIENqzqrR9vrjKyr9qVuo0e/EQ9y\ncMapM/hs0Ureu/QcHKqVL8o38bv/vM7mGz/q8213RuIh396Dq4tYpj6xWvQA14QsLBaF2q1esJva\nz2rbCeIIfvEI9HOoPbd4q5pAAEUz8tn6Q01CZFrHZWBSBGazQv0Ptd0TVpnWDkVPXyDfWzngqbZK\nnkuaTpyUUtvwP77aqcRHb8d22UdKuU0IkQcsEEJ0MoRiS6SUDwEPgV7no7O2p4y+AoBFz6xAvDKx\n0/K613x1LbfO+EtqNz8N3V/a2nycFF8y6+wpPHrYoex960NU1QU6dAkBzfGIZU0EopLVK2PmPIcJ\nQlFESRrmDAsF2XZqGoLkjkqntiFEeZmnZeJEfxF/M0slGBY6tsr4Ii2D/o7QlffY3fPZvLURtnqR\n765k8B/nUr2tjsOOaL44lizcQlqmi8otNTBfnzYt/3wumRxh7dB6ltfUUpKXRUSTTCop4qm3FrH3\n3qOZnF/AF9vLsCgKb27YyEP79byw1tzBE5h70jg0Aphw6Psg9BoeeoaKfn5FtRqShUhfU3t786Ba\n4vQ9mJSXy/thjXJvEzMHncrxI+D4G3/Xb9tvjxbXTXs39vh508GDfEBFh13Vxa/N1Dw0QJoZS6aV\nUHvZH4bw2PFI2hUe7klZmE0KNSvqWpRM2PpVBQV75ekvZ1aVYKUf8uyIiIRiV/dKJ/RWePQ2lrA/\nEHrG9K5In2W7CCH+BDQB59NNt0tfFRnrzY0vf89cKpbWNJ9cqtADQTvyV1rVtnVFusGI2YXUNARR\nFMGoMfmoJpXlS7fobqae0tWbXaqioxM6KsCUTHsjU9ou3Zuxo3NY+upaDr1kOp99thrPyjpwmkAI\n3CUuGu7Sx52Z/M8jMFtMeOp9ZBdkcPPcfSlxZ3DqS69w+azpRDWNk0Zd0eN9GHfXIXz264twmR1Y\nlOGx0ugKkmiszgeAxBcpw72LlD4X80oTQxP0ZNk4e54wjuxsNx9+9BOhcp9u4erihttu9kk/kb9n\nbnOxrcRGgWIXqlXFYVPxB6N6xd+IZgTF7kKYRqdTnO+g0RumplW6bekhQ1n59sbmCe29NCaT/DLX\ni8wqSly40iw0VceKsTlMpI1w6/eu9sT5ALtdlHyXtKRo+Qje9zOxfAghnIAipfTEPs8DbgJeA84E\nbov97zrqsA/o6U2vYK88ypfWtLmhFU/Lp9EbpiFZfCiw/oXrcZhsrK6v5Kx/P8/6T7f3aLvrPtmm\nu3JcZrZYq/F4w6S7LDR2ViK4Kzp6RsQvxF4Kj1RjDuL++Xj7Q14+m+B2H015+n699eRi/S0i3w4m\nhewcG8NG5OC8bB+8f/2ihbgRZ0/ltNXlPH/JyVw0bQ8+2byVf8y5u1f7seqKtym8fg43nnQQZ4w1\nY1aK9cHlZBCJphcGw4xVdfdqOwOFOHV3Rs4pYs21C3q8jr1OLOWSffbCpAjOuPd/aJFYinkXp8zD\n957R4232hDbCA/Rze1MT0QI7nnAHLpc4RTGrZmfvXMlWk16+ZPQIh0kXTnHRtzO+cfcDkS1eNqxp\nYPopE3DaTcyfPYVn3/mGTLeVld9V6BmE8SDUpkjnx8Wlu8ldE7I6rbLaZXp0WRMlhw4jnOcgODKi\nx7FEJR6HCQJR5JvLWzQXO8AMsSO22Rf02PIhhBgOxAs4mICnpZS3CCGygeeBIcAm4HgpZaev8zva\n8jHvor04c8IETv31o4w/dBjFJXm88/Iy/vuHkzjtjhcSFfcevvcM/rbgc/YaP4JHn1/ISUfvzoFD\nS9grfxDbvU3Mu/KRloXHzIruw0yu45E8AJUq9Df//ioOFBcdfWDx6Ktgxza/0dA0LDaVPaeVMCY/\njzynk/KmJjbW1zGzeAg3T7+l/RX1Ab/++HL+ede7rH36WiyKiYMffpx7jjuU/YtmEZG1vL/5Bw4f\n+n/9tv2BIvP3s6i747N258XHPNrjuLFITXLw5HH85YZXUl536/Oiu9dgt2pjDHHp105yAb8OAirV\nUenYLAqBkEY0GEW1qkT9EdKzbTQsrdHHHtGk/hDzhCAimTR/BMuWlOuBkanGd/UH8es2y6r3I6w1\nWzX7OW5hh2FR9FidhpD+2wSjHVsrunJR59rIHZJGVZkH+XTLbMj4udbdmiyT5o9g2aebkS8s6bTd\ngMd85Luk7eTdUmrr/9uXO5XlY6coMtaV+BDzSrnshsO5Z+Yd7c6L0+aESiXS22Hiqt8fxu1/ajbQ\nRN59hakPXMnNh+7P/Av+lVj39Quv4883vMy1Nx3FX254hYVPXsZ7mzaz1eOh0OXimqnH8Lelr3Hl\nLS8x75QpvPfY4jZvTZaxGYS2+3AM1utL+LZ4dRNiSMOSbSO0un6n8033ZZbFRs+zDDu2g9GKc2xY\nc23YrSqqIqi+7VPExdORsVRWMa8UhqZROi6bFZe91Wd9SkacNIXH/3QyRw4r7dWAbzsLYl4ppFs6\nvWmKeaWs/9/1VPt97HVaN61KyWnlXQwi1qJQV29GgVWANIsu7FsLd7uqi21fhMyJ2dSV+/T7QLze\nTQdCvGRmAWWfl/esPz2lKzdpCsc0QYZFF0097IdldAahH3uR6bOT0dk9qzPRsffpk1oUCky24KbC\nQIsPNd8lbaekJj589xriow19YfkoumEuW2/6iJu/uYHr99Qfbt1RtnHhcsJv9+X5B79Avtpc1EnM\nK6VoRj5b2sk6SGzDYcL74p0sqS4jw2rjjBde4Y3TTmPOPx/ipwWbdDVf1oQY4SY/24Y/GMVmUaio\nCZCVYaW2Nqin9TaG9bz3nlY97Q4p3tx6Kz4eXnEr54+/BujiN8m0omRbyXBbqN3UBNWBNvEEJ102\nm3VbK/n6vP/1qk+/BFK9cYqzp0JtkNv/eCxXXd3N8u8xEXHCb/dNjPGTWG9HI0knC4CelgUvsOsF\np3JseqCpRUmY2olqoNFspo9nqsWHJSiKpVAmPfhHzC5k3cZGKBvgcUW6Itemp4FW+HTBZVV1t5JV\n1WtWlHkgIsnaPYfahhCjS9ysKWvU00bjcRFxQZZ8nE16XQ1CWnP22o609rSmozoa3aDTkvxD01q4\n5/rMsjvQ4qPAJR2nTk6pbdM9XxjiozX9MaotdC0+ElHUMfriBPyx/klsqjnxdv/4389idGYmZz76\nPGtWxYqQVfhJ3y1bFx+Vft2M6jTr5sRglIIR6X2TemtRmv2ifeAz7ovjk5Ig7MRiNWzWIOo8IeqX\n1PRZn34OiIun6+eRVcWVbWP06Nw2Ze074uovr2lh+Ysj31upCwgJ1AUT4w1RE0yU/va+dQ+1QQ9f\nlW/m+BF6Zs64uw7pfFyPoWlQ7mt+uGRbUy7D3S8owGBX/wxo1ov03knzR7Ds/Y16hppJMPecPRiW\nkcnrHywhFNFQVdE8Dkq2FWeBA++KupaVjZOFXlxkxIkHYg5Epl2quM3gMDF8dEaPR7Juj+T7jntS\nFo3LatvEpvXJdgZcfKRJ52mpiQ/P3Z8b4qM1/SU+WtPVg68vT0L7b/chUBsAh4nMdCsbb76Kt8pW\n8dX2Cv5+5zuQbSW7wEHN99WxAdw0qA1gGplOZHUDI2YXUlEToGllbfPNK8em30i6KvLUT8SPz2Gv\nnMObRz3arWVnPX0Kt86dzcxBF/Y+I6JVkaFfugB5ds1d+nn16Ed6MKVNJXd8FvP3n4w/Eubpg+/v\n9jqfWn0nlz32BulpFrLy0/n6842JQOjBM/JpaArj8YY54YgpPH//58g39MC7ohvmIqVke7kP+fDX\n/Z962xcFp3YSHOMz8a2sayEEHOMz8W3wNNfVMSlgVRIDz5Fnh8Yw+x87kQ8e/Kb9ekQ5NgCyhrgo\nKkxn+aoqpC/StoBWBy4pW2kmgbUNzdWbe+ou64y4SGs1EnFvaX3+JVfJjrOriw/X6amJj8a7di7x\n0X9FDPoJMa+0Rze09kbATD7p+voBdsKhu3PMCVOhKkB9Y4jN3mrmDx3PrXsfQOl+xYyfnI/ZpOjm\n020+/YaiQWSz/va1bmk1WnLBnfjIj9EdFxASP/Zv3b+w27+Dp66JmYMu5IjXzuO1hy5sObO7Z+HP\n5GHTV6xraGTR+jLGTczVJwSiVC2uYtmGzbzz0fLOF25Fmec5xLxSbnv7E9wuM2uuXcAew4dAsPm8\n27LVi8cXgfUeitzuFla1QYMz9fO60p+o/9Iljl6UG4qfC0WOnq9jJ8G3IiY8hqbpmWDxaVlW8vfM\nhahk31MnNbtPmvTfgOoAH7y2AtPo9GbhUezU16EKhpdmUjDcTSSi8dPaGl14eFsKlKzdcyDPpgua\nYqce3Ite5yhQ6dd/43x718JDFfo6uosWuyf3o/AA+lV47AgE+u0zlb+djZ+15aO9k0++txJx6u7I\np/p/TBgxr5Q55+/Bxw8vZtisQWxY10BmvoPVN17Okuqt/PrpV8kpyqJ6ay1eb4hGb7h3dT52MKkE\nebUJCu5N4GErc/GufiPpLWe+9xve/HApdqvKIbN3I8tmx6wo3coYuuv7G3ln/XqqttWy4sdqrjl9\nP/yRCH979lMiq2M37lgRvvaO9/Cb92fDsho9i6vCv0NKe/8icZn0SsPxDJ4YI+cUsXazh4w0M/X1\noUScw6BpeWxf1NK1224NFauqrzMWR9NtUozp6etrt8MXo3bi3HZly4epIE26z5iSUtu6Oz/rtG9C\niIOBvwEq8IiU8rZW838HnAdEgCrgHCllWWzemcAfYk3/LKV8oqv+/OzER+uT7uCLp/HOWyv4y0WH\ncM0eN/bJNrpL3jWzqVpchXN8JmccMY0Hbn1HH0DsrZ/0wKrKQEtzZ5pZv5GkMIbGgASm9oJOy233\ndiyMDmJDfkkiZLvvJZ5dvZx31q/HbbXyu6lTaQwFqfEHOP3eF5k4Pq/LonCtEWfsoccCFDnAZoJK\nf+KN9M2yv3NYSXP6cYsA7/P3wuky4y336W/gNlV/Y+5l4GDKxIK6d3naO6/jWUVxMiy6KBBCHzel\nVfvdjhzJ0uWVsK6RIfsUsGlRRbv3itH7DWb1h1v6Yy+6xYCJD0hkBrWXJi7fW0lt8HWyrPN7tt2B\nFh+D0mTGmamJj5rbOxYfQh/QajVwILAF+AY4WUq5MqnNXGCRlNInhLgYvZjoibGR7L8FpqK/Di4G\n9uhqNPvellffqRDzShNBVYOm5bHt5o/1GUfv0G6RlWmj5PixFBfkcOiwobw1s4BfTZvKl++sRthM\nyNZ+1mSfrU3VL5Zyf9uiOju58KDA3vn8roRHV/VJWt+gY37jvg4i2xl5u+w+xmTmsKS6nGkFBUzJ\ny2VsRj7Hv/IiZ0+ZxIkjd2Pa9G/46qkfuGDcb3lov3tTX3n8d6nwQ6ETPGHEuXuSkW1L1AsZd9ch\n1Nf7EQKWVV5ItU8v3OVdkXS/sfY+Y6Fb/ByEB+jndWuLQVx4DHLgzLLirQvq94IOrIZLX10LwNG/\nmcnLry/FNjqDwMpWz4Ji504hPKClZTR5Wr9cxx2kJMe3lT3/KuR7PRMfA42gz4qM7QWslVKuR1/n\ns8CRQOIHkFImp3suBE6LfT4IWBCv5yWEWAAcDDzT2QZ3afEhTpzC2D0LEpH1O+sD58ffv0vRDXP5\n9azpHD70/7jC9ian/vpRyLez59TBfL2uk34HorqWjOfxu836W1A/xD10t/BOlyQVCRp3UAmr3u0k\nA6I9ulsYzdYczd/ezeznRFRKRpx7O8HnHkKTetXH8bfeyro/fEAguoAFm1fy8vEnMWVNBZVeL1u8\nL/DoimXcsNfNbdb11Oo7+bq8ksZgkLc+WoqaZ4c8O9G6oF7lFGCzl/r6kJ5Vs83LuH0HM3a3YiYX\nDMIbDtEQDJKZbdPrasQFciDau9LWv2Qaw/q1blJaugm2+/A2hMCmUlKaSdm6Rj1wdLBTv16C0RYP\n15fv04csaFei7KjYqdZWnCT6ZRTkVtNTWXZXohvaI0cIkexieCg2xhpAEbA5ad4WYFon6zoXeLuT\nZYu66szOGIfSgsF/nAvorovrF16HmFfK+L8eCoB87ntWXfF2m+DRnZGtN33EWf/3OMNv3p8ff/8u\nV/7xCKjw8/VzrfqdbW2zbO5gl17DwGVir0NGAZAxOVu3DPQh/ZGZEA9MNZkHQOf6Ohnr4WfGkDQ3\n/mfvRMogAguKcHP3KfMR80qxqQdy66df4gn7+OzKC3jjneVc/skHnDt+N8LaN3r6bIy64OuYFYVF\n68tYunYT6WkWSgY5KMy1M2XWECbOLGa3I0fqVjdVwLpGBk/OQTWp+L1B3vpiCd+v28S2TVWMHpuP\neVia/tDMip3H5X79czwIMX6jNO2aJaEHlMawbgVtfZmHNagN6kXRtvvAYWL06MzEwHrszIdWFYgc\nW8+CUrvJPXec1OJ7X5cKEKfu3uv19QVCiJT+gGop5dSkv4eSV9POqts1rQshTkN3sdzZ3WWT2SnE\nR02gHDGvlPQrZiYeVmJeKeKIiWz9qgIxr5SqxVXcPP0W5Hsr+626ZX8j31vJGQfNAOCOfW5L/GSj\n9xvMuhev7/DXqFpcpeftN0XYuK6KM06cTn2VH/PwtAHqee/54Y11PVvQrur/HaYe3VQPeumsnm13\nJymydh8AACAASURBVOe7ygryr7oRTfqQhIhqdRw1/LfUv3EnD674C9s2VpFucbLd62FEcRorVm/m\n+TUrCUarkc9+D+gD+DWF/by5fiNzRo8gLdOJoiqs39SE3Wbi+482UlXpobHWiyh2IbJtFOyVx5bV\n9VjtFsYU5gNQua0eRVHw1HsJx60cmVY9SDHLqscvxYtZZVqxjM3Q62oYtI/brIs90IVGawNga4tg\nnh1Nk3o2iiIo2aeg5fysti80O4yo1AugdTYoXB9x2eQb+nydLTIkn/qOY16/QH9WnThlYEd0TkKI\n1P66YAtQnPR9MLCt7bbEAcB1wBFSymB3lm2zrp0l4NR9dSkfHvefHd2VAeWV9ffii0Q49/6XcdpU\nmvwRPrn2bLZ6mzj2949jLXIS3OBp6zePF2XqyHxpV3V/e0/LLe/stFfLIImzrjyAx+/8f/bOO06u\nqvz/73PL9Loz20t67yQkoQcINYQOShWpKqKCKIioqIgo4BcUFGw/RKkC0jsCgQAJpJFeNptke52d\n3el37j2/P+7sJpuEJCACkXxer2Rn7px77p07957znOf5PJ/nFWDvc6F+EugjoV4wxvZwZE2DqGsY\noJLKb2Z+80amlVajChVLWtTG23h202Zq/D4u+fnDtuBdaxqyJod8dQqtm9tZtylu8wt6DHAojDio\nnMa2FKmMycSxxcQ6k9Q3JAgVOelN5u2QTSo/wBsVmhyhJ2EwpNLH1CnDeeQP8z/9om17C3ZXYLLK\nC43Jna4vRx1Vw9o3GraGvwrEdG1kcGvG0sdVlt0e/ylpfCfYNmTycZ/fnVXW/jTwaRNO9XK/jF40\ndY/atvzijV0RTjVswumRQCM24fRsKeXKbdpMAR4FjpVSrt9mexE2ybTPFbQYm3C6y9TNz43x8WmI\njH0eUfKDw2hvT0NTkvUPXceXH3qMRY+u2dpg+4nWpdoFmGLZ/0g9cW/FtgPT1NNHD7hWO4vzfpGM\nj7IfHsamn/2IlV2bqfZFKHGfPODzjT0P8rVXXsShqhxQWck5o8by74ZNLGnroNLn48DyMjbEu+nK\nZHmroYEnfzd/wP4jj6iipSM1IB3cOy5Msk8Ea3fwaP0KlpqmbJ0I/1voywZzqXbq72eporoH0EcF\n+dfVZ3HClX+GRJ4pp4xk2fKWrZVcd6dEWuYGl0Yw6CC+qRfCTvv1ss4dmt70yzO47qYnbMn5lrRd\nJr49/enwc3aTpbf9c/xRn2Fx0oR+g+jTfv4/bePDUeGXxRfv2eGafv767lJtjwdux061/WuhUOzP\ngPellE8JIV4BJgB9pdy3SClPLOx7IXBdYfsvpJT/b3fns8/4+Bxgvz+cjJSSpUuauf6io7jxx//i\nsIv3440/F7RIIk4cxW5yTUlqJkTYMr9QAGtbGeX/cWwrhbyrgenDXJ9fJCOkD2c8exn/OPZcNic2\nE3b6qOvp4K6lyyj1erl4/HiWtrdS7Q9gWhavNTQipaQ9nWbeB2v54INW26vmLVQaDThsMbz/BKVu\n26OyM+yChPix0FdR2u8AAUWD/f31gnaLT9Ko/zh9DfbjdKucdcI0Xpz3AT0Jg1DAQeOC1l335S6k\nNld6dykVf9ZVs3jqxWV2ZlJAZ9T0Mta+V/i9/5tS6x4N8rsv9fCfLiLEMWORL342z/tnYXyUXrJn\nh2v42a6Nj08be3W2y/8KFn/dLmF+xrOX8eTCD5h/33dwqirfUxRe++P70Jkl15UFCVveabGNjnQe\nmgYaHjuTDv5UEHHaK5mPO3nsQfVhMWe8/fdMW0p4l0Wjdrb/FyD9FuzvmXn+9wgc/OPYc9jQs5GQ\nw0vQUcHkaAUXjc/TlclQ7S0m6PCiCRVNUcmYJn9ZvpwxkSir13XYREZT2mERw4LSbYaKwoTqHRe2\nJ7CwE+JZCG0n4LS9a//DDA/Y/b3zYUUQdcX+51Dsia3ETSTkJOjT2bglgdOtEvDouF0qXQHd1sbI\nmTvnHGgCVMWegEvc0GaHnpBsXa2LwjHzeyi6tU0G1h4ja5LtSPPca8v48rHTufvR+VRUF+HUFWK9\nBrG21M5DMn3hj93UqHnwN69vfdNjsPaVbRIVJFsNNyE+esYZbDVgtg/J7Ow6ONUBobftn1H50ioO\neeDsPTrsExtv55Sv/fEL8ZxvRT+ZdK/D54Jwug82/jnnHkYMreCgq+7m3L89yo8OsMmpockRHKNC\ndgjGYqu3Y7DfTsEtwKmrtuvVqdoDgFO1VxsRp/36E8S2GUbywSW7LNm+W/QZHm51wPcZ2KYwCG4n\nDrRHJK8qr932uHEf/xz3EsiXVuFUZ2GRRKAxOjSDqKsEw+zk3ZbF1PhDzKocTs7KE3T4sLAQQHMy\nQdDp4vbH3sDY2EvVVFvOm7RpT7q1PVsP4tWZ/qWxpPsmjVjWvi+3Nw4K/JD+UaYvE2PbUafYZRsv\nft1+/2EZXNv37VLtfpzbTJSKQFEEeVPi9rmoKPPgdWuksyY5w2LShFIcJW5Eqcd+TgL6Vi2aYOG+\nK3FBpRenV0Op8tpk2T75d12x36vCfp76qsX2IeK0+6vx2c/mYL99ngF9dz8buFTUEUH7dXMKEnna\n3m/nt394haKAg55YEiEEfo9GqNhtS6kXarYMOP9PAoZl/+bujzlm9BkegV2f08xzxjN17oitGyp2\nLpH/5tkP7NFhT7nm3i+Y4dGn8/GJEE4/dezzfHzO8NgJ93BDyfU89Mb7PF1XB06Ve79+GgGHE6+u\ns6qzk69++292/n8sN4APkti0HYvcr9s1HPomh09QEXVnk372+b/gPO6iHRtvL4620w6xJ7q+lZIm\nbJd5rDDp9O1e4Rngxehz0V5+3XEDBp7g1Qfb3ASf1m+syef7uVP/83CpR5ExX0GRQQQ677TWUeRy\nsSHexZiwhkPVEMDGeDvFbh/nX3HvgP0b3mndece6glrmobKkiPToLA1+B7HOjO0J2FlYRmL/dn0h\nFwVQBM5RQaIhJ87C5F3fmsKI5wpk19TW+zjqwlPqtmuc9KHPsHYUvB4FUS6vTyfZa5DRTbpjKdxO\nlaaGBMKpkujNkctblEddbK5P2EZEsZshFV7qknnbG+LT8YecGKZEEZAXAseIIC6HQk9zCtoLIRvD\nsr08Pt3WQXGp4FDx+XS8bhXLAktKLAkxBXtlX+wueCs/JHSVMTHXx21DDGyDqjsHnVlalB4GzS5m\n/dpWPE4Vt1NFVQQJVZA1LAjohKNu+3doSOzokdnT0M/2/LKdEVL3tJCfS9ulp2vIIeUkulMY2a3H\nkPd+/ND7F8WzuQPEJyYy9qljn/HxOURTIsFjF5/FSb//O+NnD0JKKPV4eX7zJm7/12t2vYZlHcw4\ndjgLHtnmgfPpWwdtAYEKDz1t25DI/kuKqLv1PuzO8IAd48z5gspjbLsVb2HwHnDMiJO7bn6eO2fd\n1r8pfutbuz/m/zhc6mwAsuabjAhGKPVEWBXbwnutDZjSYnykmA3xblZ2bUdIHOzH59NJrOiCIic/\nunIOZ48axf1r1nDTfa8ycXwpFhKnW2fIkAgl0TQtbUnifbVctlWm7fvbWtD78OuQMQn5dDRVUHv9\nq4y46ShCPgczjxrHujX1jD1+Io/PtSUIpt59CmvWtg0M4Xg1e0IvckJTitDkCIMGhTHzFiuWt5Fd\n3U1j4av0TUiHPHA29RtaaI9lCYWdSAnx1hSKInBWecnnJbquUFXhJ9GbRdcEmZxFZU0RW+o6mHD8\nKJYtqiedNSkKOHA6FBRFEA86CHh1cobZ72XxulUa2grPXI+xW57JhBOGEa0I0xtLUFfbQWdHBqEr\nKMVuFAWMvGTp0kaybWkGHzYYf5GXtvpOyjWVQUeMQUpJOp+ncUMLnVEXncs68Y0J43GpCAEOXUXX\nbPe8w6VTNqiYA6qqCDocrO7sYk1TC+/O3wy9ud1nwUi7LozPo5PPW9St78YZdpJd3T2w3fbP7Xao\nW945ICNvZ97M3RkT27b7QhoeBeyltsc+4+PziOv2n0nY6ad6ZDlXT9+fe5Z9wJqVm1k/r2kAN2LB\ngysHrla2ZapLyP0nPIyPiJ2RxN6//7tMO+c2Gp/4OZUn/+ijd7o5Ybu4LWkbJ2HnjoOaJpAPLvn4\nJ/4FQHOqkXJPGaAwNlzNUH+W8Nzvg1/n5Tsu45aFC/vbaiODBHw6qYxJzUFlnDhrPw4sL2N06Dym\nld7Oby6bw3e+9yBLtPUwyE951EVzbc/ACdYoVEDtzNhGZJkbR8hJyKdTUuqntaWXow+dwH3H3AnA\n+uteZkHrn/igo4MfLVjPN6ZMZtYj59Kyqd3mI7hVW+a9r2iaS7Pv+e4cDAtQHHYhhMDI5aE13T8R\nnfDkRez3h5Pp6Urg9Dgoq4ky97AaHnvlfTRVoXxiCd6Am3BJgPf/uYY3/34lC1taqO9NkMnncWka\nH7S14gt5mVRaRsjnIWeapNJZLNMi1ZsmUqJgWRYuj5PNte0IARtXxxABBz6PRm6b6rFiWADZnrYn\n93IPNUMDxHpyLH+rHrW4g6Bfp6sri8OjMW3/GkzTQndoDIkUUeL18tLiVXgCboaEixgSLgKgqbeH\nYq+XG6dO48maWhY0NtJcHcLtczG6ooyvjBvDpngPKzq7WN7WytjiEko8bmr8PlJGnlnVVWiKoHds\nksamHrqXdjL2uMH4wz6623tYu7bL5mp0ZLj8uuMYGymiyOXkmY11vPPeGoaODLGxrmdr+v+eoMpL\ncanH1i/iw40MccbkHcK5n1UK7ecZyl5qfezjfHwO4VB1Nve28+brG7hv5Sqee3El48cP2XkM9cO4\nHG6VfN7CMzTw3z1ZsAmO23s/il1MLbZDMLs1PPrUDtWdPESmbXgsffB74FHtOHeFh8h+USh2IZ/7\n4oRSPi6++e+XkZhIDCxp4tZC1BxURt29P+CQ8vH4HFtFqPLr4vz2wrncddlcTEuyoq2V4y7+PQCr\numIYlmXzNAo8kOYFbTtf2bemIS9Rhgcglcfn0WiLZTGyBsPHlPUbHn2YUXoJEbeLiVOHMLvqG7x+\n5j9Y8/0Xufy64zjvG4dRHHJu9ep1ZGx3c0GJtWxwCWOGVnLEtLHIp5f399nSGsPpcSCEIJc2WLe6\nhaffWEwo5CYc8RKM+vGHvbz/zzWsfPha6nt7WN3ZxeCAn7GRIhQhmFpewfSKShp64vSkMmypbUHT\nVYysQS5j0N4SJ9WTZtWKZnJ5i+aWFDhVpGHR25EZQLiUtT39XgU9oDNoZDnRkBMSBub6OF2F2iu5\njgxvv17L2lXNdDTFWLW5iQPKS/nOUQfxtWlTMCyTsNtF1sxT6vVR5vWxvruLM0eM5NxxY7nhuCOo\nKS7iwvHjMEyLsZEI08tKSGVybInHCTocjCmKMCQYpMTtZkJxMaHiAJGgk/IZJWzcHKerOUZHZ8oO\nFXVkKJtewuyaakaEQixt72RMJELF0FJ6k3lwqHvOKVMFY8ZFd2t4AAMWTn3Ck3377DM8bOzNnI99\nqbafM7SkHsevu1nYtolTbn+AsmIPiWSOnoRBMp3H79W55stHcP1fXtya/78zlHsoq/bR0pmxyYIB\nneIRIZwOxXYJZ/I2Y15gx7//g9Lne1QTZhvmuzoiaMe3C/COC5NsS1M2JEDLkg4wLUr2K6b1pjcG\ndPHN17/L/mWlfGX09z/2uf6voSn5KO+0bGHuYJuc3JDcRJHTj0Ptc2raqQfpfA6fHkaSAxRU4eO9\ntiUMDUSJuoYhMbFkD051Vn/fOWsBptVNxszRnokz/cZ76L7lTcTRY/nHnV8l4HBw4o/vG+hx21kx\nwJBja40iXTByehlrr33pI33PNd1/Z8z5vx4guKeOCGK2pxk2Kcqps6bh0jR+NuPGAfv9fvkveKGu\nDk0o1NW3kk3ncHmclJcXcWBVFcOCAV6vb2RsNEJDbwKPruF3OFCAjGkSdGw1+IUQ/GvdOurWNLKh\nLk5x1E17SxJnwEE2lbezTHbyGIWnRBk7sZL1K5toW9m1gyjX739zLve88S7LXqqDtMmEE4ZR39BN\n99JO/BOK+PYZh/HymvUseGAFrrFhfnLeUUTdLnRF4csjZmLJNIl8muUdTSzr6OComkGsjXVS7Pbw\nSn0D548ZwzvNjRxVPZzuXJJYNsObjY10ZbIkDYONsS7yloVXd7ChrpnGpjhdzSmb+ArMOHs8c8aN\nZr+SKL25HOu7e9AVBUXANbc+tVPjsz8TapsU6mt/ejI33/58v/dytxlrffWstoFjdIjsb9/eyR3y\n+cCnnWrrqgrI6st3VYJlKzZc98rnKtV2n/HxOUOv8Ry64uaJjYs468aHAJh72mQ2b25lw8Yujjx8\nDE/f+TbDDqtgU1NywCQ+ACEHznIPFVE3m5uTWFsSEHGh+nTMLYmt6W1qgc2/C8XQ3UG+tGprGfZd\noS9EtF16HYBnXJigT6e5MUmgyLmPs7EHmPS7ubx/+Y+xZJYVXWuZ9q07bdd32Ml+hw/m9pOOJWkY\n7FdcRUOyiwpPiJAzgIIXiwQu9SgALFmHKWPoytZaFVsSjxB1BVGFB9dxl3HTL8/Aq+t8a+L1nP/i\nN/nzUefRkWngB2+9zn23vrr1pCo8O5Iq+4jOAZ0hk6Js/NGrfBzUJx6hKRln5iW/Zej0EjbOax4Q\n3tnw6PUMC+yYlll+/SzOO24my1pbKPX66EynmFFRSbHHjU/XyJoWC5qb6clmGV9cQsChkzAMnKpK\n0OEgnssxrqiI2ngcVVF4Yt063l+4ka7FHXYmVcL4UDVh3/gimzuzO1R4+NnlxxN2OqjweRkfKaZv\nbA46vFhITvjb31FUBbfPxaljRxPP5UgZedL5PBOjETb29HJEVSWTopUIAT25FBvjMfYrrkZXVFxq\nmI29tSSNHKu6Oqn0+vrJijnLREGwNhbjjmfeYGNDL1aXfS9d/5UjOXHoUIYHS2hNd7OorQXDtHh4\nzRpe+NPCHblkRU7bY5I2bS9ZgagrhgVs7w+7CLXsYhGzN3g7Pgvjo+abM/eo7fofvPy5Mj52y/kQ\nQvwVOAFok1KOL2wrAh4GBgObgDOllDFh38l3AMcDKeACKeXi/86p/29CVxysjm1iakk5g4YF2Lw+\nztN/fx9ftY9I0MkLL68kNDlC7Ru7kc7364wZVUxjfTdWwrCzEZpT+CZFiKti66Dtd6BGXZiu7FY2\n/0dBqZuiaw7d0fAQgFfjkm8ewZ9ue6WQvmdBpYdIqYeepIHRmsZf7SORylMedeMLeSiKeBk8pIzG\n5KNUek//6OfzBcKyK57GsJagCIWhgRLyDzxMLLuaWDbBbYvep8Lrp8Y3CrAIOUpBKJhWN0JxceIT\n9/DSqbbxoYghKGJIf79Zcx4l7iJc6mwy5qt0PHUzbs3J7Af+ymXj5uHUVBzKDCo8M/jb0adx361b\nJ4wpM6qYMKyadxevZfz4IWTyBs89tRzVrVEcdnLYzJ2nO4uL9oeWNDNOH8NXp0/hsnHX7dCm2ncm\n1T547PYEdy5ewsZVMWadOJZkPEVPV4Lhp9/IHbdu5Ns3P458YOuw03zj67RnnuD2pQspcbtxaSoj\ngiH+tmo19932KvPu/TZSSt5uauaUYcOwpKTYHWBxewOaopDI5dBVlYMqKmlI2JNnV2fhWenK7lLH\nI7GiixUPX8OVr73GMyddytdfe5iNsS6OHjqUUo+b3pzBwRUV1Ma7ueW1+Txz7nl4NReWtMhaBj7N\njRAKSSPNKxdeRHc2wav1m7hv2XKGRiMkcjk0RWBFi5gQKWJ1LEbSMPA5HERcbqaV1ODTq7BkkowZ\nY1VXB+VeH8s7umhL29/hkUUfcMioYcxbs4FYWw8b6uK2t8Ktccihw4hlMixoaea1hnosCas7O6nv\nifPafUt2SmKfc9Z+zJ+/jrOO259pZSVcOObaD70+28Jxhe296zMyxAXT/qMMmC8G9l6dj916PoQQ\nhwIJ4L5tjI9fA11SypuFENcCYSnlNQV51iuwjY8ZwB1Syt36hPZ5PgaiKfkom3q7yJomR1zxByj1\nUF3q4dhDJ9LY08O8eev6V1OBiUXU/eIaIudcP4Cl7h0XJrmxZ6CLVxOIQX4cDgWXQ8WpK7S1puyw\nS8bcShD8pKAr9ipIV2xvRzpPzZAAW5qT6LpCUcCBz6OTyuS54uTDGB8pwpKSk4Z8h/fa/sL+JTtJ\n292HAfjhu9fxs+nnkpdddGXb6DVSFLuCxLIJUvkcI0NjsGQPirA9HgKBIZtxqUfutL+u7NP49Qr+\nueE1zh55df/2LYlHqPCMLkxiXbi1csBEV/YHYEPP/Yw4/Rd87ycnYlgWvzzwKBJGCsMyCehu6pMd\nnHnfI/z+jBMo8Xh5tX4LKzs6ea92M62NXWxe2w3tGbzjwgwfHmHZe01MP2QwR48bRdY0WdjYQCaZ\nZdGiBsy+4mQALpXTLzuQk0cM58ePvEBnPEd8WSeZ5/+IUz14wHeLXnsonYs7CE+J8tR3zuGQr9zB\ngn9cRd6yGBUqw6u7saSJIpyYVobObC8bujswpEVHOk25x4sF/HXFCupaO3j3ufX85LtzuPeFt9m8\nJbFTca+TrjiIg6uqKPd62Bjv5ZJxk8lLk7qeLjRFocITQFNUsqaBIgSaolLssgv2fe3fj/LHI88j\nnW/DlBZbEh2YUqIKwYNr1+FQVdZ2dlDfEcPvc3P++HG4VFswDsAwLTy6xrMbN7G+pQ3Lkmxa34oQ\nopAJI2hsT3PCUeN5b9F6Dps5jsWr66jbFCNvSeYePYF0Ps/oSJTG3h4aYnE0XWX10i20ro6hlnsx\nOzK25ydv9YecJp00nJP3n8hvHn6dnts+mgfzP63p8lnj0/Z8uKuCcvC3D9ijtmu+/+Le5fmQUs4T\nQgzebvNJwKzC678BrwPXFLbfJ22L5l0hREgIUS6lbGYf9ghZcx49RpoZJQdjkQX9j4wdWYQ/7OP9\ntZvo7uilKOigb5gri3r4+cI3mXzEYJY+0V/rx463bodBM0tpbEtTEXWjKIJMzqS8wovHpVG7rMPW\nDrFMm50k5VZtEIeKUuEplGaGfF2v3aFhDVQn3VZPQBV2vNerIYRAVQVq0EFP0mBQhZdYT45cXnLs\nQZM4uLKckNPFsTXf7D/XfYbHnqHU40EIByphil0BYANeLYIEanw1tGdqibgqUUUQSybQlKmofLhr\nO6APImM2cuygUQO21/jOJGE8j6Y4MKWFlFm6ss1kzY0M8n+JlGEw5/IDOHpQDeOLyhC4OfD/fk3V\niHK+P306sypH8Zcvn0zI6cKl6lzz/56jd3mXnSWRykPWZNzxQzDzFg6nzoFHDuftJ1ez8OHdTEIZ\nk0fveJNH9fm8es83WB/vxqmoZMw45dcdStev5gFQ2/MAa274Li7V5nA0Jjs4+ILJRFweQg4fPj2E\nEC4UTCRZdCVIxAlLjCZMKTFMizWxGDV+P25Npyoa5q7rT+f+pctxufSBvAe/XZU2UOlldCQKwKEV\ngxBs4dWGWgIOB5Oi5eiKhkOxh2AhRL/arL2adXD80ME4zruMW793Mt+ccAQjgg5MaZIwMswsK2VB\naxvHDx1Ka1mKRS0tlLg9rOjs5PzRk1kda6Yh0csDq9fQ2hVHURRuPeYIWg9JMiocoTHZy3N1m/mg\ntQVdVWlqT/PES0twO1VGjIji9rlo7UkwpbICw7LwO51UF4VsKf5fvMGMv5xOb3eS9aIbR4WHkN9B\n0/pu6MziDdhiYdefM3vPb+TtcMazl/HPOfd87P2/MBAglL3T8/FxU21L+wwKKWWzEKKksL0S2Ear\nl4bCth2MDyHEpcClADU1NR/zNP734FQPZXhgGRlzM83pLlru/TGVV/+aQ2ZFKCkK4PQ4eG9hfb9y\n6frNPaSnG+w3cjBLWW+LLVX7yBrWDoW7wlE/nd05LCkZMaaanGmybnkDnfEsNePs1L14wiDelkZ4\nNGTORDhUFEVQVerGH/RgWRaxsJPmxqRdVVPY6ZmKIsil8vgCDgzTQlUEv7l4DrXdPRw9qIaTb7sf\nCRQFHBSVBqkYrBP0e0jn8yxt7+TmA3/5GVztTx7i6LFcc8NJn8r3yVvLuHzC6RhWAz1GN7Fsghpf\nGRITrxbEkkkiznJUEeTva57ggjHX9O8754kLefbkv+7Qp6ZMxMzXM/mX/8eWG+YO+MynHwfYmloJ\n43m6c0lGh84DYHRoJP+aO5EFre8RcQ1hxj0/Zf1rjVw593COrfkmOfNtpkSn8cKWN3hq40ZOPHoS\ni8o3Mn5MDYdVV3Pni29x6KRR6KrKnQ+9OZBM7VJ3rOxcQMm0Ytq6MrCxl/XxbiZEokwtHoPruMsG\nrJ6HBc7mxKcu5vIpk3lm4yZ+ccDhPHTSqbhUB17diyLcKMJfUIa1lUM7sw24NI0yj5d13THufHMB\ny1e0kFvTDcUu3h2+jmhpgLUbuqHISWR0CE0VHH7wWFZtaODIKWM4Y8RwhBA4VQezKgfjUPWCAJmF\nqig4VR1FKLhxIqWFQy3BsNpRyHBM9Siuu+JYNsV7eLJuAQtb2mhPpWhO9JJMZuhs6cbIGtxx7knc\n+9oCrq5tJBgNUJ9IUOnzoQnBnKFDGTOtCI+ukzQM/r5qNdl8nsll5UwrLeaI6krWxrpZN6GcrtY4\nlpQcMGYYPbksLYkEryxaSeWgEsIuFw8ff7f9W99yLMfNnEhTbw+rvvs81779A556ZylNsSynXHFw\nv0bLx0VwUoTrZ+4Zj2Ef9l6RsT0inBY8H89sE3bpllKGtvk8JqUMCyGeBX4ppXyrsP1V4PtSykW7\n6n9f2GUgctYCNBFBPeZEmp+4kfKTr4cKDyedNoWDq6q4942FZJJZunpyxHtzzJ49mrff2kCiM8P1\nXz+G2u4YVf4At9z1ku19qO0hPCVKNOTkeycewbL2DjrTKcZEolhIlra24tY0ynx+XJrGv1eto7Ol\nG0URZHMmbo8Dl8fBVw6ahgXU+H186/89hUNXiCcMPC6Vg2aOYmN9Gy6vEyklN82ehWVJvLpOrGA6\nXwAAIABJREFUYzLBK5vreWPpGqQl+cu5p/Kjt97i4Opqbph+426vx96KTb0PkcxnKXWHiLpO+sT7\nz5lvI8nRnmknZ+bpzqWRUlLuDeHX3bjVGiQGApWy677Jc1edTypvMKvi6x/5WOJLU5APL2H0Lcfy\nwVU/4cJX/sE/jrlrQJtr3/4B08tKmFlWQ7FrCGc/fw+P3vEmyed+w68Xv8UPp52G49hz6Hr6V7zb\nsomv3P0o02cO5+r9p5E1Tep7E9zx8lusWN1u11XxO/jVt09gelkph1/wOy6+5ijqurt59Z73Bhz3\n2K/P4IVnV1IUdXHIQaOYXFr6ofdVznyHvOxBFR5WxtZT4vYTdYVRRRBQkeTpyjRgSYteI41Xd6EI\nhTVdrRz59T9A2MGMw4ey4Ik1dkizyMmC317OsvZ23mhoYN47q6kcEuWo0SM5Z9Qo/t1Qz5zBw9GE\ngkdzFZRlBaoIIMkjybGuu566nm6SRp4qn48/L19B2O3mkvHjGRWaSE+unpBzJFlzE82pLm5+bwFv\nf7Aeh1PHzFs0NsXRVcGlJx7Cz+95kbknT+LC8eMRAsZFitGFxgPrVvHk8tUgJUPKomTzJiMjEXRF\n4U9Pv0UqYxLyOzj0gDH0ZLNk8nkOqa5BEXDCkCFMinx1l/dHxY9mUVYRQkpJdVUxT5345490f/1+\n+S+4/KZH+7VC9oVd9gzu6qAcdtXBu28IrLzquc9V2OXj6ny0CiHKAQp/2wrbG4DqbdpVAbthRu7D\n9nAoM0gYaznzO4cScoZZ/MD3+lVCQ04nc2dMIlpZhK4KhtcEWLVss11nI2vy6roN/G7Wsby8bLVN\n+izExmPNSWrre+nIZKj0+2iK93BIZQWD/X57dRSJsn9pCeMjYfYfNghfyIPD7cAXcOF06cyZOh6P\nrpEzTUaFiigp9VNSEaK81MfICVWcOXoUc6aMo6IoyGkTx1Hh9eNQVQzLYkN3nLy0kJbktIP2w687\nuHDCBFLGRyy4tZdhsP/LjAt/pd/weHrTHWzqfegT69+hHkjOSmFJSZknTNTlY2igBI/qxKH4kaTJ\nW20YVjMdN89jesnFH8/wuGh/Gv/f9aTyL7Dsqus56/l7CWyjDdKHn82Yy4mDjySTzyHJ88Bxl9H5\n9K/waMdy95NvAmC++DQBfRhBp5P2zgzP3vUOX7v/SRyKSrHbRaDIZ4fxilzgVHlh40ZK3F6anriR\ns0eP5g+zj+b5P39jwHFf+MMCXvjJ+YyfXM1rb6zm4XkfvtYRwoUiNLpzHSxtb+OFzbV0ZGJIaWBK\nm0fVmo7zwpYNdi0V3YOuqPgdTub/6Qrev+0bXDxjKr//xVmEJkc4+MQx3LlkKfWJJG+8vYp4Ikcu\nbbB/aTEfdLYXUlIFFpKMmSNjGuSlCUiEcCJwsLa7Cymh3OvlxS1bGB4Oc9G4cYwIDkViEHBUI2Ue\nVfio9g7m5wccxpcOmsqM0UNxuHR6Egatm3p56v0P2P/AGhqbOrlv5SrqexPkTJN4Lk3I6eTUiWNx\nuh3Ud3UjhGB5WyvzNm3CoasMHx6luzfHms3NtLTF8OkOqn1eStxubl64kB++axOAp/3x1B2v6dFj\nCQbdJLqTVFZGOaCykr+uvnmP768XttzJj+5/ETqzHPLVKXu83z5AH+F0T/593vBxPR+3AJ3bEE6L\npJTfF0LMAb7JVsLpb6WU03fX/z7Px47ImK+h4OLiV+7nT7O/jCTDhF/9ije+8zWiznIskqgiBCgI\nnPxq8SMsaGpiXHEJV0zcjyfr1vHY2rUsmF9rk1NDDoZOjHDPBaeRtyyGh8I4FJ1UPktvzk4THBkq\nQwB3r3iPFe0drG9pI5c2CBcHGFdcQl13jC+PHs3gQIDb3l/EySOGkcmbzK4ZjCpUVKFgWHncmpPu\nbAIJqELhoXVruWDMeBShEHb66c728uD6VXx38o8/y0v8meDl+rs4qvryT6y/zsxTGFaesLOYv6ya\nx3mj7cHbrVZhym56jC6KXSfvsF/OfIeNvRsY4h+CxODAP97BGxdfyqL2zdy1ZCmP3vEmh186jX+f\nfh85820c6oGc/PQlPHT82bzdvJojqr6xQ58ASeN5dDWC88xLuP+m8zhu0Ci+88ZL3Hfrq/zyl2dy\n1ZTjuX3pc7yyaRPPnPwNBBrjf30tp8+axvwtW7h/zslEXCEsmQcEAkjlszhVnc5MDwGHh5yVRxMq\nCSPNLYsWcumECbg0jTE/uJP7rzydV7fU84P9Z5KXJqPOuKl/FT3op0ew+JrvIJH4dC9d2Tgd6V7u\n/uADJpVEObZmGC7NQSqfYW2sk6HBEJl8nlJPEMPK49c9uLVicmYnD61fxt1vLWTRo2sYcXglcw6e\nwsEVZYwKR1jU1spTG2pp700we9hQJkYjTC2p4NX6Oo6qGYamqOQtk6ZkHEta/HP9Bla2t3HG6FGE\nnE78uoOkYWBIi6c3bOTHBxxA0OHFsExCDh+KUJHSJGsavNlcy+aeXjb19HLbX//NnJMmsui9Wi6Z\nezA1fh+TosW0pBKk83k60hlKPW4Wt3dQ7vHQkEgSdDqYt2ULiXSWlcsa+OFZs3m+thZVCC6aOAG/\n7sCr66Tyee5btYoKn5+sabI53r2Dd8P5rQMBeOTKM5lRWoMlLSp2kbG2ufdhZv/uz2x43RbDH330\nIJZcefWHkqH3Bnzang9PTUgOv3rPPB/Lv/3s58rzsSfZLg9ik0ujQCvwE+AJ4BGgBtgCnCGl7Cqk\n2t4JHIudavtVKeVurYp9xsfOkTXfxJIphFDI5LPU9rQyPFjGzxfO45cHnglY/GvjPE4bNpe/rXmc\nSp+PYcEwty9eTNIwOH/sGJ6t28T82jquPfRAurM5ilxO9iuuJJnPkDQMAg4n8VyGUncAh6rhUZ28\n3rSexW0dtKVSXDZhAkJAfW8v4yOlZE2Dxe0tDA+GcWuarUEgLSQSRSi4VAeWtNCEStrM9VfXdiga\nLlVHU7x2qCDdRc2pN+y17tXPI9L5F3Frx+yw/a3me/jH6jX89IBDUYVC3jJxa04yZg6nYldcNQup\nnUHdQyyXwKe56cjGGR44B7AnCoBHa9fukdH4Qee9TIxc0P/ef9XB/OUbp3DK0EPRlf3JWx/Qll7X\nPzndvOgGrp5yCpoyCQDDWkQsW0/YWY3AhSRHxmxGEypCOFBwoQg/IKhPfsDMX95NW10P3/r6bBbW\nbebHsw6hwufja888z7sPreToS/Zn7vDhXDLuYAROFOFFCAd5q4V0PsF9a5fiVlWOHzyC5Z0tFLvd\ntKSSGKZFazrFE+vWMyQU5rVFq7n+xCM490cPEBnip6zMT31DnJkHDued+RuQEp686mwOrpjGbUue\npSWZ4oKxY3GoCpt64qyJdTOuqAiPplHkctOQ6GVjPM767jhpwyCWSdOTzZI1TYaEwlw2cQJL2ttQ\nhcIztbXMHjSIL4+cwKL2eoYHi3h+00Z+9dir5E3JzeceT7XPR30iga4orO6K4dE1Bvn9rO6KEctk\nOHn4MPKWRU8uS4XXh1PVmNfUSF13nD89/g4/OPcI3m9uptzn4+Lx40nl8zQkelGFwrUPPMcfLzx1\nADF8W/xs4Y8YFgowPhIl6HDz6Ia1XD3lJ/2fR649lM6bbQLwYQ+dw7yX13HYMaO448gjGRMeRzzX\nxIrOZg6v/Ojeuc8LPgvjY+T3D92jtsuueHrvMj4+DewzPj4cGfNlenJJAg4/Cm6EcCFw0JdWUnzt\n5bT+8ldc/+5TvL56PfMvvJ663pX88K03aezsZmhplF8ceCjr43bxMI+mkbNMStxePJqDnJUnns0S\ncrqIuAJ0ZxO8XF/HqHAYw7QYFixCU1R8upu8ZZKXJgtb6knmDSZEiom6fChCQREKWTOHV3eTM43+\n1EGP5kJTVJyqTeIzrRy1Pa1c+vRzLF3SQOaOz69a4d6G+sQjrO3uYHbVN2jPPNHv8VjU/hc0RaHY\n5UdXt3LMPaqTvLTQhIIQAktKBKAqeiE7JjlA8fSjoi89N2c18+03nuOhZxfR+5udp1725J7FsEy8\nuhspLXSlku5cLW7Vgab4EShkzBgO1YFp5VEVDQUfCJXeXAsSyfif/4aZM0eiKwrz313L+ccdwIXj\nxuHXPaTyGQb5JgIgUDBJ2LwLadKYXMF9a1ayqqOd/zvsKNbH29EUhaRhcNrtDwwszuhQOP9bh3Pf\nX95CL3FRVeKhbnMvI4eHME2Lm750HN++92muPHUW544aT7F7EF99+V6Gh8NMjEaYVlLJ281bGBII\nArCgtZWmRJLR4RBZy6TS6+PPy5eTyOX4+uRJvLqlAZ/DQaXPS6nHzc0vzSMY8WPk8rzzzmbGjixi\n6tihvDRvOd8740h6C8JjUbeLRS0tTCwp4a36eoaEwhxaVUFlwXMhpcSUkiKXi1TeYEN3HMOymF09\niH/VrselaZR7PQz2B+nNZQm5XDQnE8wZ9K0P/b2PefwCaoJBfnXwbNL5LDnLYIj/rP7PT3jyIk4f\nOZLb/z2f2085jrWxGGcMn4BT0dAUH+2ZFl5rqOO8UXuvgvFnYnxcc9getV32zaf2GR/bY5/xsWtk\nzJfRlWryVgeKcAMCVfRJZUssmUTgBCxuWfIYw4IB9i+t4NX6zZjS4uKxp7OofR6aolDlLaI5FcOp\nalhSUuoOIYTAqwVJ5uM0JbuwpMSrOyj3RNCEH4s0sWycvJWn18jgVDWcqo5LdaAIhZMee5DHTz0T\nTaiY0kIg+l3boCJlrnDeNha0rqLXyO1yINuHj47G5KMkjDR+hweX6iBhpHGqOh7NSa+RRhUKQYcP\nS1qY0kRXdAQ6iggy6CdXsvmntwFKgaRqGykH/PlG3r/08f/6uTenHieWTTA2fD55awVC6FiyL6Hc\nQuBBkkJiYcleLGmSNXN4tBCSPHkrw4PrltKcTLEu1sXE4mJcmsZFY6ayLt7C2PAQLJkllkugKyo+\nzY1DHWIbIrKn36CP5zahCoXObA/nPP4EC/65yuZObVeZ+Zk/fY2Dy4fhUDQsaX8WN1JUnvETOwW9\n0kNVjZ9jD51ImdfHO40NjI5E6UynaE+luHTSRAYHglR6Q3RmEjQlExS73aTzeby6g3tXraI+HmdK\nWRnTy0rwajoburvpzGa55Z+v0vpBly0UuK22SMTJYaeMY2xxCeOjEcZGilgbixF1uUjl8wwLhug1\nctT3JqiN93DWyJG0pVMsaGlhWDBAxOVmfXc3lT4v6bzNx4q6PaTzBr05g2K3myLX1ppN20IcPZaG\nf/0MgKpTfkz6+d9x1/L5fHfyj7l50Q1cNn4qprTImQZFLtvw+vWieXxrki0D1ZbpJuoKUuScu0Pf\nexM+deNjUEiOumbWHrVdevmTnyvjY19V270ALvUoXmv8A4MDISo81SjCjSk7WBdfxejQTAQ6aXML\nHm0YPTmDU4cegyTHIH8X1f4AUmaYEp2KKbtQ8ODWHCgI2jNxFCFwKBqK8BHPNZLKG1T7ipDSIpbt\nxasZuDQnRU47mzriSrKwbSMzS0cDJpY0eeb0c8hZBrqikTezqELBpTp5pX4VR1VPxH38lSSevY2s\nlafIOZdDK/bMTbgPu0dtzwNsjMfw6jrlXj9V3ii6WoRAwaN1A3Z2RZHTDZgINDTFjSJTKDiRWAh0\n6n9mp0daMoHANko2JZbxwJd2JBj+N1DuOZVyWx6iUAAviYIbkEhySLKAikBFFUVYso2iC39C5r7f\nINDQFT8nDR2DJS2WdTZxwq/uZ/KkctyqyuyawWTNJG6thDL3cEDBlB1ImUGIAAINU3ZjyiQh50gM\nq4FiIfjuITM5893NkDG5/ILDuOvv86Ajw7DppRimhVN1oYoiTNlBKp/BpTpIPnkb573wOI8/toil\nP7iSU5+ww1VHDxnCdyYfT96K0ZruotRdhK6UoOAk6upgVEhhacdqmlNJBvlVrpwylfnN9QQcDq59\n+mX8YR8Oh8amNY1Im0zFmDERVsdzdrHF2h5QBG88t4Ytw5pZNriYCZXlfG/a/qzobKPc62NwIELO\nNBjkDzK9tIyubJqgw8l5o8djSYuMaRB02tlq1b4w77U1UBvvZktvAkvC6HCI1bEYU4t3/P3kS6vo\nyj7NzN/8FvnSKpZ0/D+u/v5DdP0sw+UTp/JU3WrOHnk4nZl6sqbNMfvx9J/37x/akb+8D3sIsZeW\nh91LT/uLhzHhUlZ0tuFUD8aSKUwZZ/z37kLBHrHdag2WTPLT6XMBExAcVjGFIf4h2CmEOWLZOJIs\nqXyWnJUn6griVB2oio5hteFWnURdXrtEc4Eh7dKc9mQkdMAiY+YY5A8hEIXYuS2U5Fbt0cOh6AXP\nBxxRNQqJJP38XSzp2MLfVi/5jK7e3gVx9Fh6cs/uUduuTJqeXJZUPo8qVFrSMRRcSGRhRW4iySNQ\nETgKK3zs98KJIpwIlP5/ivD28yEG+cYw6pJbyZlv0519hnT+xd2eT6/x3B6f+4fh3daFJI02LJnA\nIoNNqlb7vTFSZtGUMN4SN1kzWThnJ2FnDUGHl4PKhjFpYjnv/3MNQ4JBSt1hWtPdBe+JiSSHgheQ\nSJkCVOY3f4BSGMUVEcCjVXPi4P258eJj2PDbq/j5AbNQnCqVk6Oce9RMZlUOLxjsW4hle3EUBMPi\nuSR3zz6Oay45iktfeZavTppI0OniyslzyVtdaEqYSs9gJt9yKwIFiYUi3EjSTI6O5sTB+zM6VE7U\nFeSQikE8vr4Wp8fJxjVNvHrfYmrnN6MogurJUaqHlEJPrj+jjfYMZE3iSYP62jYefuF9VKFQ4vEy\nLBgmnc+yqTdGczJBcypBZzpNwsjRmuplS283r2zZTMTlwQIWtzfRns7QmzPw6Tq92Szvt7YxLPjh\nVbJNabLuBy8DsN+1f+DQC6dw3dRDiLqq+dKIKcRzTZSffD1BxxyCjjk77H/Hsp/vsG0fdg3xv57t\n8t/GvrDLR0NT6jFKXWMwZBO6UoVpxVCEF0lfhoBtLAhUJCZIE4Rmv5dZTBnHIkHOzOFQHQjcSLI0\nJFsI6F7cmoOcaWetqMLJHcte59uTjgCgK9tByOEtHC+NaeURQkFKC1XRAIFpGaiKC4FdZlsTUVRl\nN1Vv9xCX/vs7/PGI2z+RvvZ2rIrdR9IwKHZ70RSVV+vrOGfkMfZvjokl04BAES5AQcosQriwjdO+\nyVwWtoFNDd66HrFkErDVTCUWQjgQCE575p6d6jik8y+iKVHse9BRmFwlmrLzei47Q8Z8FQU3iggi\nyaAIH1L2lQ0wC/e4TXAWaLSma/HrHpL5DEXOICDImZl+yfKiS24g9deb0JQopuxCV6r7Q5SSfMH7\n4S6EeEwEzsL31LFkBkv2FAwWA9PKsKGnhdGhESjCNl5qe1by7/otzKqqpjYeQyBwaRrji8rQFJW/\nrVlGVybDc4tX8pNjD+fEIXORMkvW2oKuFCNwYliNKMKJxOiXpE8YaUxpURuPsaU3wbpYN4++8h5N\n7WmsjT1MO200h48dyS0/fWpr4b5CWfvbbzyTvJSMjxQxNBCmOdlLPJelK5PlqJph6IpKdzaJJS0M\ny0IRgnguS8Tlxqu5eH7zBjrSGd4rEE+DLieVXi9Dg0EGB4LoikrWzDM2fP5uf8/OzFMsbq//RDO8\nPs/4tMMu3kFhOeaHh+9R20WX/etzFXbZZ3zspciaryPJoyvVdGfXEnCU265jK0+u8C/oCAAWqoig\n4CoUFov1ZwlIcpiyAxDkLQP/nO/S8+yt5C0Tl+pACBVF2CsdSyaxZNYWSFLCIPMFd7gsGBkCEBhW\nL5piD955K8mKrgZmlF7y2V2o/1E0px4n7PRjSRNdsUNiUmaxyGBYaZxKCIRm13MRKlLm6TM67N8K\nJLmCoepgay14iW08FAxXAGlikS14R3QQClLafCOJ2V8N15Rr+/u2eUg6QmiF/jRsw0YAJobVhGEl\nMKw8GdOgxD2ucJwMSzuWMCU6A4lhe2HQC4YQhf236sNITAQOLNlL1orhUsvImq1oigvTyvDs5lX8\ndsH73HzELGaWHlAgbPedh8SS2cL3MArnHbcNJlFCX5gKoYC06MqtI2lkqPSOQsoMFimWdWwkls0y\nKhwhlc8RdHhYE2un2ucHoMjlpyER492WZuY3NrK5M0bd2mYOmD6Se2afgEfzYEmDhJHBkhZpM4th\nmahCoSuTZl13F39cvJR5T69GCzvJr4tTMbMUn0ensTXJv646m6xpMrm4nNca6hgeCjPYH8Gl6rSm\nu3l2Ux0K0JHJ0JZMcmhVJWti3Vw1eSYdmTiKUFCFQq+RIeTw0JZOUORyU+oOk7PyLG6vZ2ggjCkt\nVna249I08pZFsdvNzPP+b5fZale8cTW3HHzcXp06+1HxqRsfg8Ny3I/27Pq+d/FjnyvjY1/YZa+F\ngirCtoS268TCAGySs/Ik8xnylkmv0YvAaRPyZFv/AG3KLizZY7vZ8RZ4ABptT92Errht0qhQCytE\ne1IT6KjCgykt7l7xEqbsRZJHExGm3flrEkaMLYnNaMpWj4sEZp73f5/tZfofhVPVSRipghKGRMpM\nv5qprrhBqNt4wPRtJlyTvslbbGOIbIs+j5XA9pYhVBTh7jc8ANs7IFyoIsDNi26gNf0v+r1uKCg4\n7VCdtLBkqmDIWIVjSzSlFKdaBkDUVQ1ILNIINKZEZyIxUIUf20NhFM5HKRgzGn3Gri2ypBdCJcO4\nf+3L5C0TgY6uBDmyagRHDB9GwjDoNTaDzPffu1LmbMOMdP81kZhooqSw3Sh4WuzwSEAvIuTwIclh\nkcG0cjhUjcGBIJpQCTo8dGYSxLIZ2tMpknmD5mQ3HekUJw4ZafOsGjqxLMn8d9dywYtPsrGnEVV4\n8eluvLoLU1rEMmmSRo6EkSNvSU4ePQoMi9sunUNkvyhN77bicDt44fvnU+71MSlaRsjh48DyKqZG\nx9GUjJHMZ1CFwgFlZZhSUuXzsb6zk+ZkihOGDEEiyZomWTNvF63r7SFrGbzWUE9nJkVLuoukkWZa\ncQ0l7hCl7hCzKodT4w8wo6yGGn+EL1+56yyL3x12K93Z+C7bbI+Tn963UPlo2Bd2+Y+wz/Px8RDP\nPYsmFHQlSNqM4dHKiefq6cj0YElJiTuIKhTSZq7gkgZNlPVnyZgyhr0StsiaGaSUpPIZhFDwaE5c\nqp+s2Ut7Jk7I4cOjObc5dpJeI82I4Dn921L5F/B/6wbM379LxnytkEnh7K98ug8fH39dffOA0uQd\nmSfx67YseM5qAUARKgpeJGbBjS9BmqhKBGQei0zBSDFtvgceFOFCYmEbBn0DlCj8rxQIqX1/Vfq8\nBQLRH8rrW8NIsth1UfrqsKiF15K++2zra7t93mpDFREkqYKxqxQ8MhoCzf4OhdY2rAKHxdnv0bHD\nJAqm7EWgk7Ma8GjHAnYoyCzo0DjVSIHEahtWedmGKor6zwU0FOG2tXX6PT8mEou81Y2mhOnONhFw\neBG4aM+0sCbWjgIMC0aoT3SjKgorOzspdrvI/n/2zjxMsrOu95/3PXstXVW9zp7JJCQhCWAIBIJh\nuyxJIMiOICAil0VRVBTvBTR68fooPIKgoCIXBVllhxAggoKACTEsBkhMQjKZJbP1XvvZ3ve9f7yn\nqnuSWXqWTGYm/X2efrq76tQ5b1V11/md3++7KMVTNjyEWKW0sz6NoIIqghs/ccctvOaCRxE5Z7DU\necnRpk+uu2RaoYwmcgPmkxbX79nB27/xXc7eNMWvPuxCXvSeT/LOX72KS6bWUPUD6n6FwPGJVYoj\nJMpofjC9g7//8Y8JXJfbtu8h6ad87GUvoOoHBNJDGc2IX2Yx6dBXKfNxn/MaaxFAphWpzhgP64BL\nK21S8SwBeKbf5Cdz+7hq86HVagNL/gcTTnTno7J51Fz4RyvrfNz4q585qTofJ53aJVbfIHSOPg3x\nwYRY2ZC4fr7IuvIaQBGrlJIbsL29QCOo4Lku7bRH2Q0JnABtWiAGb7tBIJhPmvjSJdV54UoqcIXk\nxn238oR1r2PEv++xIxfW3Ou2knsF6m/sh37oPJlO9lV8xyPTPxy25ldxeNyw7wOsLVXRxrBlxPok\nLC88YvUNRrxJhAjQJLiyPuRXCERBQhZIXJBWIWKEtknFQw6Ia6/gjSo4H2LZaMZuh/ABURjdhSiz\nWIzsTNFZkUVnwBQdD9cSOIVruyTAvaKOh4WFJXpSPE4gKBedj6AgzGYIEQFpwcsIilGPhSHBmCVu\niTLtonDo48mp4XZCuARypHiMtmoeEaFNF0NOonZZ9Y+o2U6HkXZECcXr06eXN4ncCtq0iFyfn8zt\n4OzaJItJj8dMbcYYWyJ5jgvGsLk6xrb2HP0sY09vgYoXILAF+yC59tcuvARlNH/2g3/mNRdeRMOf\nwpGjSDGCIzJ8J0WZOb63704ypXn2mY/hvBeOcU59A9oodv3ZW3nrDf/Gq9/9edjW5vZPv4UN5XHK\nbg0pIlrpHs6uj/LaRzyCD91yC5vWjvOGiy9iMYnZ3m7iSYeS6xI4TWpByPt/8hOed/ZZuEIyG7fo\nq5Tn/79P8O+/8VoWkw4byuN0sj6+dLn6hu+yrlrlqs0H/xsWTz+fp7/usObWqzhWiFM3WO6kKz5u\nX9zJI8ZgPrnmlNd8399QWjEebSTXC+zo7OKc2svY0f4RoevSyzNildAIaoyFIzhCYq+wcjApu3t7\naPhVQldQ9626Ya6zi4oX2VOBdyVPWHf0a1tIriniy8VwfLOKlWFDuYYsuk+w5FyaqhsAM1Q4WQJp\nUJycy9gEEVV0MorRyLLOxIDnYE+VAy8PO8Iwpl8UDINugxluL0RQnKwHmSR2tGbHKTlSVIb7tx2S\nQbGxvOsx2MIHbLfCFARPAEOONj2cIfnVKYoeDyECMIN9muL5hgzGOGrAPzF23GLHKBah8xQy/SMs\ncbZf3J8BhnbWKYoB7Jpwh8/HkIGxY6nIrWBMSqZz9vUXaaYJe3oLrC01MMaQ6Ixca/sNm5aUAAAg\nAElEQVQ/JmCm32IiKtF1U+7ptFlb1qRKU/Y8Is8n04rp/iKOkPziOecQ5ym51+af/vvbPHbNWhpB\nmbIbckdzL+NhiT/53g2M+D5n16bo533aWZ+SG3D1JY/nlx96Hvd02uRaY4yxvC7TJHJ95pIWI77P\nGy66iOlej3aa4kmHuX7MY9euY1uryZbaGHu6LTZUK9y+sMDmaoN9/Q7TvS6/fvlljHgl6r4lEXsy\nZzZp8pZLLuHcIs34QHjnf72Nez7/Nq7bcedh/9ZXcew4VYuP1bHLKY5c34yV0e5ie3uOR0++ikz/\ngG3t20hUTui6bCxvJFZtAAInpJ/3WEg6zPQ7nFEdA6ARTJDqNonKjlsCqx292Na879jch6tv/APe\n9pjTN8n2/kKqrrfcC6JCfgpL5FCBMh2kKKONzQuRwsGXZwJ2xGCLh6wYWbgF5yEZdhQc2UCbNlb5\nZE/OtjhxEKIYkxg7ThHCxZgMTReMxpGjDGSw2sQI4RZco7Q4vs9gFDO43xY22hYVQ0JsPrRXV/rW\novsRMBgDKdMsuiL5Ml6RfR5ShAhKWJl3VrxGAl8uXX0n6rtDHooQLjPxDubjDmeN2B6eI6qFpNwW\nHbYAyTHk9PMWvTwm04rM5GwsbyLXHaSQaKNJdT5UqfRVSuC47O60SQsrc0cIUq35+TWbAMiNpp8n\n5EbjS5f5uIfnOPjSoZ2lhddGHUdIHOkQ5ynNtM90v0fJdXloYy3KaMpuiBAO/bxPxVtPO9tFxR0n\nNy1aaZf5pMOOdgtXSgLHoex5TPd6nFVrUHYDPMfl7tYscZ5T8X02VyfY05un7pdJdcaaaBQhLDcs\nuPJ/snDNO6gHVx3yb1U8/fxjjk346va/5sozfvOY9vFA4ISPXbaMmp97230jFQ6E/3j5J1fHLqs4\nfnDlI1hMvkzNH+Wu5p08ehI8eTHj4W62tWcZc+3JxJMO3TwmcErctrgXCTTCCN/xUEZhSNDGEDn+\nQTNCjhQD8qHGKhVi9a/8r0f+/H7W36s4PBL1LaSoLvEpTF6MNiTaxCACHFEpxgqWK+CIqOgseIAE\n4RQGYgJlWgw4FPakT+Hy6WIVHnKpy4EAo4tuSkFYNQXJ04RFXWCG+7NcE8vtMCYruCGWK2Llus5+\nz80qZ+KlbkOBIdnTuAwcc23RlBXfFdp0Cudc1/JQhC78O5yiw7F/arIrRumr7QXR1eAKh/Xl0aG0\n1naAMhCD1yYZHrOT9/GlR+D4tLIuAhdHesVrBFJIUh2j0ShtUEITui7kOZ6UCAS3zc9zVq1OyfXI\ntWYxiUmVYrrfI3RcIs/lnPoYs3EPY+Dm2b30cvuajPgBF02sJ1Y5Fc8ndHxyY+MOMmU7GsMCj5hE\npRhgMqrhSknVK9HPEyI3oOL5TEZ1enlC1asAs9zZXGQ0CLmgsQVftojcAJMbhHBQOkNIxdv//EU0\nnvX7mH85cPGxtfUJXOnw2v997J8d80l8+I1WYSnXp2bj49RSu9y++JEHegknJerBVQTOEyh7Hl/d\n/tf08+vo5Qn3dFpEjs98vIAjyrjCYTFZ4GGjG3jkxCPJtEIiUFoT5zEC+M/pbbhy9LisK3AuYyHd\nhyNG+e6e9/Od3bexpz/P//3P/yjUEas4HBL1XVy5dkiU1MVIwREjCHwcMVqccF206aGNQSLIdZdh\ngTFUt3gkapZEtQBNrrsY0iId2apclGkOOwsAivYyma0YkkCVaTJQt+w/1hkQVTPb+RADMqpVuwwV\nNMBAfmvHNtaHJNc3A7aotv4iKZp+oc6yHRVNgpXhRkMPENuxwHKaComswCXTPwTgT266GkeeT8W7\nEk9exI7ObUxGz6Hk1ovCLSbTiyR6EW2a5HqeTHdI9AKJim3ujYCKN4oymu/tu5mtrd10sh7dvI82\nml6e0EoTAsfhtoU5drZbCCGoByGtNKUW+Ny0by/TvS7bWk1u2rePn87P88T1W3jU1HrOrlk1zURU\nYj7u87CxKa7afCFXbb6AxxdW7uc31rO+PMZC2sERkm5mVS2+LGHQlN06AofIDal6VrnWzzN2tOfY\n3l7EYGgEFVKdUfFCcp1xRnWMh46OcdHEWtpZk4mwhi9dxgLLlXGkhzI9qr4/dDI9ELaMvIRNlRfx\nd//j2BRun73rXbz0nDcd0z4ePDh11S6nVOfjUHPGVcCWWp1OmvKj2e08bs1rWF+Ge7qfZjHpUQ96\nlNw6M/F2cqOoepozq1NI4eJIe4LIteIxU1uOmzplW/uTTIQ1PHkxl629GIA7mh/l6Wds5K9uvok/\nfHSd0FmZQc6DFa4ctx0E4YJJijA1W1QIEZDr6cK7QtDN2lT9qYKEueS9IhBFRH2OK120UfTzDiXP\n+mRbImkZ67ZZLU7qaaFe8YouwoBzYbsfTmFLboadktxyLgadDaOHeT7KtIaZREv7ANuhgCW1h4sQ\nLrn+Ka68cOiqCxR+MzmaLsYUhQeq6JjkRcHkoekUxdJgtJMjnv8I4k+9D/f1l5L89QfRJKwtjdHL\nvzZUxXh2OQdFzYcfzv4DmZpBGcOmah1V8FBc4ZDqnH6e4UuHXZ02i0lKzfeZ7nWJlaLseoyHId0s\nYzbuEzkuDxsfx5WCTOcYY5BCMJe0aPhlfm7CYzbusLOzyGTJug5HToAhJlU5vuNyd3sfa6IGrpD0\n8w6L6V4iN6DqRSwmHdY/92oWrnkHkesROi6TJZta3c1jEpWhPYM2hvmkzYjvU/Utl6inEoQS1PwS\nccEx+cncXn7twrdw2+JH2FI9m6/teC+PX3sWH77th7z7y9/i5jf93nHplgL8/ieu5fl/8Mbjsq8H\nA4Q8+QqLleCU6nwcCp3sqw/0Eh5wXNB4Ba00xRGCra1PALCh/ELOqE7Qza3bpScdXOGQ6RxPjpFr\nm0DrSR9HSI7nn/Hm6ospe1fuZ8u9r9flqqv/iceumSLOu9y68E/H8YinF7a1P8nQEKzgZ9hSovi3\nNTaXRZsWyjQpexGSgbOsU3QlCp4GAnBwRB1XjlL2phjaqg8IpaYPmIITYV1Rra25HMpZxbK/kEFB\nokwLY5JinWrIDaEY2Sx5jCw9Vux3prcy3CVDMskvX/cbePLRGGMVJ6Loskgqwy4Hy44jCg6JwBny\nNCwk8afehxQRvb9+d8EFyZHCIdeKXd3PrPj9eOT4r7K2XONRk49gTWmcXZ0WFa/EfNJGGY0yhlQr\n9vS6SAH7+j2aaUqmNDP9PotJwtpymfXlClXfp+S6bKrUkUKQG8Vsv0eqFBUvInA8NlbGyI2m5Fpp\nrCddPOlSDyrMx13iPCdyfcv8EYJGUKXmj5AXct6tn/1DFlJr/V71IjzpoosxUawydncXaaZdIsdn\nNKiyszMLgCcdOyQzBlVwUp55xhuYi7/Enm4HMFyx6Tcoe1fy+t/9GHe8+evHrfAA+M7v/Npx29dp\nj0Ltcip2Pk6b4qPiXflAL+GkwNM2vp7HTL2aff2ltMuq9wy2tebY1r6bqaiBJ10ix0ebbsEPkCTK\nZr70VXqIva8Mn9v6l6T6RprptbSzr5DpnFTfCMDj174W8+Hv86zNv8X2zgy+43DT9AeP+ZinIzaU\nH4Y2PQbOpNr0h1f5UPiLmhaCEEfUCrloWnQjxFBOOlS/FEWJhR15aBMXnZWgcBN1hxwNayFuFSzW\nH6SwNRcD7fX+ZHUxLAIGhcmgQxMWxclAQbOEpbUF1qHVNFGmyT8+3XpI+M6lOKKBwhKmLX9IIEUF\nKUYw5CizyEDSa9UxEWLY1JVL6yiULoO1+Y5P3S8Tq6+v+G9wU+VFfH3njXxr120AfGvX7WxvLQJQ\n922nJ3QcenlOUMhZhRCUPY+JUkTZ8/AdlxE/YMQvvFgK1IKAXGvmkzaxSsl1zs8WFtnRXmB31zqv\n9vOE3d15dnZaTEZV9vYWmIkX8aVL4ATFyGWSXCv29jpkWhGrjFbWZ3BpsZj2yLVme6vJnYsLOEIy\n02+hjOFni3upetaddbq/yHj4bNaUbLjgXa1pHj62nkQvLr1/x0gsPRDWlV9w3Pd5WqPI4jrs10mG\n06b4OBR+1vzYA72EE45L72Vp/pO5GSajOp0spp31mImbtLJFMm1PZNaszCU+xuIj1TfyjDMuZDa+\nB200nvQRQtDPZ2mm1+7XoUqVJnIC1lcs52BP73P8dP7Dx3T80wWZvqn4yUpdB2RMq/BQRWHRK0Lg\nPAaGYrZASMnMnuHjB90PU+S02J8zBAGOaOCIetElscWJMXnRVRBQ8DcG1uhCOEuupSZBmcWhTNYU\npFJgSdEi3OFzWF54DAy8LGm2izbt4rnZ4saYtJAWgysvQOCi6SIp2bUWJOmlIknatWOKDs2g+NBL\noxkT23GSscFykgqerCOpcMHo+oNyGe6NZ57xBu7pdJiN+7SzlFoQ0M8TtrYWmI9jQtdlIooo+x6e\nlJwxUqURBDxsbIJaELAQ91HG0Mszcq2QQlLxIjzpkGlFK435i+9/n/XPvZqHNOo8bs1r8BwHbQz3\ndJqErsuNe6fZ07OBcrnWhcIoBBwyPU/NL2OM4a6iuFgTNRgLJ+nnCVNRndsW5njaxnN57JozcKXD\n7m6Hi3/zr7lgdAOh8xTWlZ4/9JgZ4JLJ/4nB0MuTFb1Oq7j/IQBHihV9nWw4pTgfR4uBC+dbv/cW\nHrd2Dc8849DOfKcjHrvGmnbkRhXM/Ix+nhI49sSV5YqqF3EvgcBB8c1df0s9CIlcl02VCQSCyL2c\nG/f9F49f+1pGg28wFy9yZ3OaR0++ilZ6LYFjlQipvhFjMh49+arh/m5b/Agz/R5bm00uPD5811Ma\nUlQLCWmJwdX7gKC5VIgMcnVYpgjxEPj34li4IDTCZEUxMFCzWB+Ppe8ailHMUk63KI5hyaLWS0Ms\nkVKNsp2S/XK9l/ZpuyrevY4z2Gq59wYYYgaGZdZZdP+TnDYJrrB/Q4acXM/gyskD9FISJMF+x7KK\nnUHCrzs0NLPFSRlPTFByL17x+3PB2BiZUiRK0c9z1pdDJqNSYVnu4EjJXL/PXBwz3V9gxPcYT1O0\n0USeRzONmYzKeNIdOpK204SZfp/zRyd55QXn87YvPpHJyKrCAscWVvUgpJdlXHHGJmsGKB3QkKiY\nwLHvnyMitOiysVLn1vmt1IIAZTSbKh4bnns1Wz/7hzx+3Zk0sx65VmQ654nrHkL/o+86LAfreMnw\nV3G8cHKOVFaCB6XPx7d3/x1ry9X9rMEfDJhPriF0PNpZn36eDK+4ulmfwPGp+WOFX0KAKx9+0P20\n0mvp5gn9PGEysjNrKRxC52mHPP6n73oXV2w6D6U1PZUwEW5GmRadrLX6oXYA5PoWlrwylizOl3wu\n0kIaasmlDpVCumoLBMSgOJBDea0ktKFvg6yWQZGwzJNjqfgQw8cPyKSWiJoVnY4UgYMjxjEkRQLt\nQFkjhuvaH8XnjVEo2jiihlW69IfPb4lI6+PLxwA2tE6ZJtq0ccQg1l1abxIRFd0Of9hRWWrq2k6M\nMTkD23mQSKJl46vkqEnWe3ufG44lbp77R1wpuXNxgZ/OzaMNlDyXEc+j6ntsqFSpByEjfsRC0sWV\nkoZfJtU5zbSPNnDR+CsPeJy7Wh/n+j338Ph1m3CExACNoMJc3CLTCiHAEZKGX6WbxxgMZTdkIRmE\n9+W88/s/4FNf+SHxe64HrPQ9uvI3Dzo6edKnXsa3XvTRA953PLw8TkecaJ+PkbPHzWPfcWjflQG+\n/vwPH3JtQogrgPdgW6D/zxjz5/e6/wnAu4GHAy82xnxm2X0K+Enx6w5jzC8cbj0PirHLvfGEda9j\na2uBhRW2WU8l3LjvAwe9L1EZe3rzuMLBdzzWls4mcnymoo2U3IBd3Xv4WfO/0aZD9xAE3kRnjHgR\noevTTLuU3CsOWnjsLgh9P5r9R1541hupes+gHlzFutLz8eTFhM6TGQ+fTSf7Krn+Mbn+Mam6nrn4\nSw96Oa6mg00eni+4HBlLREpLILVKl8LaHANF+JoliPpDfoYljvpokqFHyMAh1HZSBqOZtCgaKEYb\n+ZDwaV1Gi0JHjOCJtThiHG3aDD5KljgfA+8PXazPGa7BrmtAjvWKx3lIUSqO1y1GKfZCAcAR53Lh\n29+KNhmZniPX8ygzz8AJVZt+QSa1r8HAfMyYzCbXClk4s0bFqMpn0EU6FnXXoPDY0/scrpREjk8j\nCJnu9ZmPY1whWFMuETou9SCk4llH14lohJLrkxuNMppHjL3yoIUHwFkjv4QjJD+Z28dM3EEZxe7u\n3LDjZXlbNs266kXU/QqRW2FdeZIN5XE2Vsb5p8vfOyw85pNrEDgkXz041+VghUcv/xq3ferNR/uS\nHRWe+MkH14XiSmE9ZsSKvg65HytTex9wJXA+8BIhxPn32mwH8CvAxw+wi74x5ueKr8MWHvAgLT4A\nullG4zS0bz+rNnnQ+9aWnkfo+MzETQSChWQHC2mH2WQ3Aih79qpMiABXRuT6lvvsI1Zfp+JG5EYz\n4pUYCxuHXM+APHaoD1aAdtanl+8kUbsQIiByfape6fBP+DSG7QpYe/oBMdGqUgYnWXGvryI5dhn3\nY8BxsCMH26kYhMsNjL9gqVgwJkbpOfZXpnjFNhlWfusDS6OWgY277S5ohoXMkDey/INveYDdwPrd\nLCO5loZ8klwvsJDEQx7QNb/2yzgiRAqXQbqtVQA5+x3HDILthMMgGG+gulkqOqxsV5s+xwNrS8/D\nGDvW7OU5SZ4zVbJ/vxXP58xajcj18KWddCcqxZf295IbHmrXQ1wwNsam6gih46KNwZUOfZVScUPK\nbkRUGI/FKsOVA7k1uLJMorL99mVNyZZGeEcCKTw2V8884scdC7bdvufwGz1IcTyKD+AS4E5jzFZj\nQ5Q+CezXjjbGbDPG/JilsKZjW/fx2MmpiOdt+Z0Hegn3Cw43vlhffgHtNGVPb5HpfpNAeqQqY09/\nnr29RRKVEat9gESZOfr5daTqBlJ1Pam+kThPMBi6WR9lNLPx/BGtr59fR6K+xWLy5eFtqf5PJsJz\nidx1uLJMqqbJtGJnZ5pYfR2wV1vXbHtPIT+1Le7THUrP29h3nKFaRIrycJwx6CQsjUzcYQFgTGw7\nAsOcE1NIaQfbxcXPA5dOy+OwHRY9HLcsJdDq4pj25Gl5HJYfIkVlGcETBpbsS7LcgUJnkPOSYxUr\nZRiutWOD44zGleMIYXkKT1x3Ng+pnQVA6PjMJXPkOmO6P4fSMRi1pNKBonDpDTsstssRFR0i346p\nTI7SC/jyMQTOZcft/ZqIRtDGcG5jjGdu2YwrBWvLJepBSMn16WQJC2kXbTSB47OQdOnkfdYW3ZPD\n4RFjryRwXALH5c9vupFMK6aiOuPhuoLLJVhIOsQqZWtrF9va22mmLQQeE+FZxOobw31VvWfwsq99\njMB5whE9x1RdjyumDr/hccYHX/UCdvc+e8KPe7JDIKwF/wq+gHEhxPeXfb1m2a7WAzuX/X5PcdtK\nERb7/J4QYkX21YclnAoh/gG4Cpg2xlxY3PbHwKuBmWKztxhjvlLc92bgVdjLnzcYY667z05X8YBi\nOdFzIbmGRlBlX3+Bc+sbAIpskDKZniFRGYI5QjdCmIDA8ejlCaNhjU7W40idQQZ+AMEym4fl+RvL\n76stS9MtuVfwrM1XDH9/xNgrubP1MVKlOL/xy0e0hgcSb/vPP+TqS/5kRdvaToWPEC4OtWGnIdez\n5PSG4wwpqnY8Q7vISin8O7Ck00Fxsj/RdNAhGGS9CAQ5QlQZhr2ZtOgUiKKbMsh28RkSVIUcdlos\n+c1btn5treAL+a7d3+Beuz9jMpRpD3kmBoUwPoKAwBnDyARtrD3/GdVfBCDTP0KZRRKd48gOLlMY\noQq+SBllFoakVSHCYn0GZebY1d3FVFSnfD9I8zOdM+JF7Ok1AfAdh/Ewoh6ELCR91pRqlN2Qbh5T\ncUPWjT7/iI9xXv3l/Oa//x6T5TL/NbOPqVKHc+sJnuPSyfqU3YCJ0B7HEZJO3qeVTVPxbIG2r/95\npqLnAvDpZ75/uN/v7Hk/j1/72sMeX4iw6Bh1j3jtx4Knbvh1vrPn/ax7cDdDD4gjELLMHoLzcaC9\nHAkhdJMxZrcQYgvwb0KInxhj7jrUA1bS+fgQcMUBbv/LZTOeQeFxPvBi4ILiMX8j7hPmsIqTCY3g\nWdT8ZyIQ7OvNM5+0kMJHmQVaaY92Zq+W9/VmkcKS48peCUGANmY4Vll+VXWicPbIS9lcPfFXYceC\nqy/5E1523etXuLWLFGVrn150O6wkNaGbtelk82hievl2wJCqeXLTsmmwRGh6aDpADsbaqXeyfctu\ntwXEkteGP0yoHYTLadMvuikZ9vNp/+sVOxLSWOnuQBnDcN/2p9wSUYVkySl1oISxnRAhImwHRkJR\nFEkilOkzn7RJ1fW85t9+e/jY9eUtxaelDb+TlBF4RR6LdUa1oXk5uZmlr7bz/lu+zZaRl9wvhQeA\nJ12qfomqb83gzm3UGYsiAukROA4YQzvrkaoMTx6d0PAXv/I6Hj4+xpM3bOCMkRpTpTK3L87QzWxO\nTF5k+7hFltNc3KGT9QuHW6us2dP73H773N37LI+ePIvp/hcOeexUXc/QOE6c2Kb5LQsfZm/vxBY8\npwSOn8nYPcDGZb9vAHavdBnGmN3F963At4CLDveYw/4HGGO+LYTYvMI1PBv4pLE94ruFEHdiZ0k3\nrPDxq3iAsFz5E6uvs7W1Z7+OQk99lkzvo+Suo5/vJjd9RvwasfomSse4MiLVN7Kvtx1PukMi3v2N\nTtandIoJxl9y3rl8+q538cKzDm4hvZh8GVc6JKZJphUaTc1fS64XUcUJRgrBbDyL0ppOdjdCSGp+\nGW0ScmZQOraJpMKenD1nFEd2Chmv5YEM/DKsXXmOWeZIOuCFDOWvQ/XKkoLEdmMsqdRgMKZXqEpK\ny8zIhC1gTFIUGbbrYtUzS7dJQhQd7uncxabKwwrzMGv7r+nyvie9lK/teC+ulFy29iH084TA8UAM\nrNXVsOCw3JhFDIqFZIG1pcfyhoc/4/54O4fY3V1kTanGVNRgMqyT6Iwd7XkQojAP69IIymyuvvio\nj/HPz/g7bl/8yDBqYjb+ImNhlW2tWepBSKoUfZXwzh/eyFM2bmBdpUKiMv5jz108ZmozoeNT8Xza\n2Veoevb1WFeyHZgwOszBhctcfDej4XpCeWhl2/HGBY1XcOfiu0/oMU8FDAinxwE3AQ8RQpwJ7MI2\nEX5pRWsQogH0jDGJEGIc+HngHYd93EqktkXx8eV7jV1+BWgB3wd+1xizIIR4L/A9Y8xHi+0+CHx1\nuSRn2T5fA7wGYNOmTRdv37798M9yFQ8omum1w95cphVlr4ojanSyXURuhen+DJ506eZ9Km7Et3Zt\n5cUP+b0HdM2nInZ2PmUTR/0SgfToq4RU5ThC0s5ipBD4juVUKKML8iA4wmal5EYxHtZYTDqErk/V\nq6B0hhSSTOf4TlB0LKxkdy6eph5UcQoZqhDBMpMxhrJbSTA8uQ/yXGDQ2UiKdrwiVRlhQaKUlAu+\nhe16WN8SU3RTlmS7N8/eydpyDSkEuzqLlpzpOLTTlMh18aTkzOpZGDSBcxmJ+jbbOzuoeiUqXojS\nGt9xcUSJRLWJ3DV4cuW+HccLN01/kHPqa5BCDLuGC0kHpQ1ry/X7Jc35juZHaQQV2mmfWiHd9aVL\nK+syH/c4r77OjqiEZDZuUvVK1P0pfOfSIzrO3e1PsL581rDA7Oe905K0fyw40VLbxkMmzFPevbIL\nvc9e9feHk9o+AyuldYB/MMb8qRDibcD3jTFfEkI8Gvg80ABiYK8x5gIhxOOA9zMwCoJ3G2MOaxl8\ntL2zvwXOAn4O2AO8c7D+A2x7wOrGGPP3xphHGWMeNTExcZTLWMWJRDfr08ljEp0ROB79vEOmp8mN\nVVlY7xBBO03Z3p5bLTyOEhsrL8KRkl2dRRKV4ggHjaaZ9gkc2+bZ2+0w3bdtaGU0mVZ40kUKSdmN\nUFrjSdeGnqmETFveQy9PiPMYQ0qieiSqTdmLcESAMgmGBG1aNkmWXlGgSHK9UDiR9qGwWdemgzIt\nlFkgN61C3WJ9TuM8pp/3mUv2WAWNWcB2UJxidJTZr4IEOxqWSFTGXNxhpt9nX89a//uOlZDGKh92\nSNrZVzAkTEUNjNF0s5heHpNphSPqRQbKiS88wPKpAseOJPt5Qq4VC3FM4DjE+bG5B39z198e8PZG\nUKHqVYhcqxLLi0Jjpt+l6gf0lF2H7RKG9PJ4SU59BLCvdwy4SCJLAI6/xHU733tMz2sl2N7+5/v9\nGKcijpfUFsAY8xVjzDnGmLOMMX9a3Ha1MeZLxc83GWM2GGPKxpgxY8wFxe3XG2MeZox5RPF9RVkF\nR9WwNsbsGz55IT4ADKQLxzQ3WsXJjXtnLvTy62ilXTKd08tmWVsa5fNbb+GsWo3LVkBeOx64/HO/\nwnXP+9AJOdaJxNpolMjpojHkKiXOcxpByRYR0jARlci0Jtd6GAAGPTKtcIUkLzoiJRPgCIe46J50\n84zQcRnxI0puSKxSAukxk83Y2LiiO1JyAzzpkuo2AkGmFWNBlUxP0y/stVtZlxGvPMwHGoyCcq1w\npGQ+btPJUkaDCZrpIo5oDVj3RWfEQZsUAQSOR6xSHCHxHEnougVhMmWqVCVw/KJQsSMfT6zHyJ0E\nYQOBT+A8fvjaHcog70RgPmlSdkPqfoWyF9EIKnSzmLK3MkntgXDVF1/Fl5994M/0z9x5K0/esJG1\npVG+vtNmzjx6aiNjYYmpqMH2zjQAM/0eGyojjAUjQ7XTkaDkXkGqbsCgmE/2Mhqsoeo3uHzjimwd\njhof+u+38ysP/V/36zFOXYjh/9SphqMqPoQQa40Zhkc8F/hp8fOXgI8LId4FrAMeAvznMa9yFScl\nSu7llFxrJKaNYiHp8JFbbuFf338T7Ws3HXHYX6z+lVbaZjTYQi/fyWLaRQrBvzXOJUIAACAASURB\nVO/axrPPvPCA+3vzYx9zvJ7OSYWydyW5uXYYta6MZiwcYTHtorRCCGFj0Yv7B9ukSuN7LmN+2Qb6\nqRwhcqZ7Hba3WzhCsK3dYU0pYkutTiMI2dPtMBZa7xZHCEb8kFRlZIX1tjGGyA24ft/NOEKyZWQM\nbTSjwQjdPCbO02INksEYtyIjyl5I5Abs6OzAYBgLRujlMfWgys7OPu7ptAhdl2aSMOL77O11qXo+\nI37AaGBP1JnWzMVdzq5VsSFyPTwZ0MruouptwZUXHPJ1TNX1CBFhSGmle0+Yk27kNFhQ+0hVijam\n6MYER72//33JJQe8XbzkIl796idy5RlbUEbz7DMtKXcm/gLVqI42mrNGNrCYNFlbGsWXLr4zhuTI\nZSOx+lcWkuawMO3l85S99WT6JhI1e7+Fez6QhUcv/xol90B6i5MDQhw3zscJx2FLJiHEJ7CE0XOF\nEPcIIV4FvEMI8RMhxI+BJwO/A2CMuQX4FHAr8DXg9WYpX3sVpynWlV+A73js7CzyuA0beckbn3RE\nH0Tb2//MXPwlcp1S88cAQ+DUmIom2VB+IS895038whc/sd9jfu+79gPpSet+7ZBurKcymmmXwPHI\njWY8rCFFwIhXwpUuo0GVyPEpuQGOkPYEJ1yqvo8Ugm4eo41BCJjpd+nlObm2WpNMaVppxp5uh3Zq\n5a+OFBhjSJXNGGllfXp5zELSZT7p0cpsYeBKie+4GCDV1qDKlQ7KaDpZTDdP0GgSlRKrlFRnSCGs\n1XfapuSGzMVN2lmCMoZmkuBLSTNJMMYQui4l1y0yhyi6OsZKvkVYeIcY+ipFmZkDvm65voVUXU+m\nbyI3LTx5Eb58zP1WeIinn494+pIZ5IDAORpswJUOrnSIVcru7vRRH2N9ZeSAt5tP/Ijd7Ta+4xE6\nSzLn3d0FFpMOscrQJuPGfTtwhESK/W3njwSz8Twz/RbP+uzHqfpTGAyp2lvImI+L79QJQ6K+td/v\nM7FV+rSzr+x3e65P/tPX8Rq7nGg8KLNdVnH/YCb+As20y1TUGDLpD4W9vc/RCCYRwqeZ7mYublP3\ny4yFG1GmgyPq5HraKidw8J3HFaF0fQQ+rWyGkhtSKrxDTkf08+sKwy5rny4QdLKWdbLMUxpBhURn\nRE5ArhXNtEusUlzpIIWgn9sORpznJEpR9jyEENzVXERpTSMMmevHXDA2RuC4TIQ1dnXnme336OYZ\nrpC0s5QRPyBwHCqeVbBoo6n4Pq6QVL2IvkqtU4ixx3KlpOqF5EYNxz3dLGMsjOjnGa6UxHlOO8sw\nxop1q57PWbUJEpUROj6zcYt+npEoxVgYsbm6mQGtzGbbqMKSvXDpNApHjhWvnCj4JR1c+Yj7/X36\njW/9Lu990juHv29rf5KyF2IMVLwIKVxm43k2lF94VPvf3fvssKhZDvH08/mPf/ptzq5NDkPoBnjV\nN36Lt1/2PwoOTkrg+PZKGUk76x2R6ibVN9JO9/G1Hbfz0nPeRKK+XfCDFFJ4SFEZ5vCcTuhmX8WV\n5RWbsZ1owunYOZPmme990Yq2/cjl7zuhazscTs1h0SpOSkyEz2Fj+Qx8WSVR39nP++O8d1zOru5n\n+MHM0ty66kX08gUSNUvVq7GlejYl17amXTHK3t7PmEta/Ky5lbvbd/Gz5sfY2bmLuWQOhEvFG8ER\n5ftcrZxOiNzLCZ2nYlAoHdPL28NOQ+j6w46HK118x6XshVS9iNGgisR2RFJllSBryhXWlxtsqozx\nqMm1rCtX8IRkNAz58t138+W7t7KtPUMjKLFppIYrJFIKRvyAyVKJsTAiVjlzcZ9E2SLDegjYTJPQ\n8QrL/QprStZ2XyJxpEQgqHg+e7sdFpKEdpoyEVXItWYxTRgNIrQxaGOIXJ/5pM2WkXWMhiWmShUa\nQbVwMTVWIUOMIwa3We8JKcoos4g2LYzJCqnwibEZWl54AGyuvphtrTlildJMu+zo7LHFmb75qPZ/\noMIDwPzLrawrj1DxwvtczX/wqe9hPHw221pzzMZd5pM2E+FzGAt/4bCFx8BJGCy3S+lFxsJf4KXn\nvIlLP/wiAucJOGIcKVxaaZsDaw1Whkz/aPjz2X/61KPez/HA3e39O6yerB2xC+yJxPEknJ5orBYf\nqziuCJzLaGfzOKJBptPCnv16fulJl9BMe6wr25NSP7+O2bhFO+ujjWEQcBa6Vvm0mG4jcHwkgpof\noYyh6kVWQpj2iPOZIpjMoZcnh1jR6YFcpwghKbl1IneC0aBO5PhWuQCoAb8DQc0vs6+/iBQCIRiq\nRQZdzlxbn5DRMGJ9pYojBI0goJNlbGtZX5G5fo9mmiARTJZKCASLSYwrJVOlMmvKFTzp4ArbYcmN\nxpUumc6L4sgaXkVuQMkJiFyXET9gY7XGOfXxoqCocOZIjQ2VKmvLI5Q8j8jxCaTHWFhFaWtcNvjw\nFCIk1x0EDq6YZOhFYnKEGCTaWiM0UWTFuPLCB+otYzSMcISklXaZDOs0girKNI9qX8vjCO6N9978\no4L7Uz3g/esrddaV6zz0RX920H18butf7vf7oDhR5jY8OUHkXs5M/AXuan2cG17xqWIrQ+g8lbo/\nhUOFzlGOPz255Ed151sPbFaYqO8c8Pby7/z8UR3z3tjb+xyJ+hbrS5u5q7WUm9bMpk9ypc3KCo/V\n4mMVDwqMh88m07sIHVtIzCd7ufqSP6HsBvjSJdc/RQif6X6HqWhNUb2PIPCs0ZRpYjB40kEKiSMd\nSq5PI5hkPKzRCCpDhneqF61ldfbVYQ7M6YiKdyWqMASzMfZ1QqdB1S8VJ2ZJWFhq7+nP00xiql6J\n8dByBUZ8n6pv5azzSYe5fo+S6zMR1blwbC1P27SZx65ZQzNN2dpaQANbavVhkFmuNZtHRhkPS5Q9\nD1c4jEdVfMelnyeW3KozAsfHFQ6h41N27cm36pfYVJmk5IZoYwmkt87PUHbHGAtHMMbQTHuMhxX2\n9hcouZsZ8cZwZZk1pQnKblQUqKZwapSFR0iOMosIEWJMSqanbT5M4T+iTeeBersAm0QbuQHn1l9O\nPbiKbt4HBHPxl454X/XgqvtclQ/wF5e9HVeGdLLd7Ox86j73rys9n6nouZh/ufWg+z9Y1lWqtuPJ\nRwK2s3nWiPWditW/ApDpH+DIUTQJgXPwUMvleOG1B1fCbW0d+DkuVzMtR/cv/+M+t93Z+tiK1rEc\na0rPI3CehO9cykRYG75HE+Fz8JyT18VQCI4k2+Wkwsm3olWcFojcy9nbuxttNI60f2ZnVH+RRGfM\nJT/jnu5uHja2xZIIhUASYsjJzRyCkEB6li+gczCGul8ZWnc3gnU40qedzeDJMoEzjhASY/RpPYJx\nhUOikiJszkUID1+WCJwqnhxFiirKaEpOQNUP8B2Pml9hqlQhdDyUVsQqZUe7xa5uh1vmp/np3C6u\n37MNX7psqFSZiCLiPGeu36fkeoSOz0Q0woZKY8gjGRBZfekWRYENfXOEQ8WLKLmWf6KLuPhMK9pZ\nj1hZkqnvSMqeT18tFF4R1r8kVpbDYrsdFSjIpb50caWDNi2kcEh1axicNwimM+Q4ogRodHGf4Oil\nrccLo8tMuDpZHynKuPLoRkHjYY0vb/urA97XzdrMxq2j2u+hMEhTvjcEHqr4X7WG1rr4fnh89IqX\nHPS+LSP733fb4keGtu9/9oM/2u++NW994vDn5Z2bs0deyi0LH17RWg6E2lVvIlFLniwHG3mdLFjt\nfKxiFffCxsqLKHtX7ufquK70fALpsaG8Dl9utERSWS1OJDZxVYqIyJ2k4kZMRg1GwzolbxIhQjKd\ng1G4YoKavwWBSzPdTaZzPLmB0Jk4YPrlh287rNvvSY/IvZya/0zmkz3s7N7KYrprKD9VpkWq5hnx\n15LoDN9xho6l4+EIdb9CL0+QQuJLSSMIOa8xzky/x5m1Ou0s5p5Om6rvM1kqcW5jjIloZKhiqBRc\nkrWlMcbDERxheSe+dKl6JUb8Eo2gVsTd+5S9SVKdYzBFIWKGRFOBwJeSbe1pftbcy6bqCJETMB7W\nCB2f3MySqr2kuo2kRMXbSNVbT6y6dLIeoTOBJkYIj0RZwywpKkhRtVk4IsSTjzysDPd4ovrGy/bj\nMx0It87P0M52EThHl45W9Z7Bs17zdwe87zu7t7KhPM5UtJFYffOo9n9vZPomXDHCb/77klngT+c/\nzO7eZ0l1h9B5WpERBJKIXr6yhOvAedKKtpuLv8R59ZcPibRvvvj/7Hf/vrklr5J7d24uaLxi+POS\nEmllllOWR/MCUn3j8LbD5d48UDiVOR+rapdVHDM2/NGTuef/rPwDb1f3M1S8iIr3EJSeGyanzifb\nCR2fyJ0oLJxzcp3hyQpSlIsCxSBwSfUigTPFMBzN5Gxt38mWkXOGaphUN/FkmVR38GTE+3/6XX7r\nEX94P70KJxY3TX+QjZUGuVHU/QqZzm2gmHBIdFZ4MfgYY7sdFW8D/hUvPWDr/UP//XZ6ec6dzSa9\nNOONF1/MdK/L5pFRqp49UfbzhNwoEpVRKsY7nnTo5wmOdFBa4RXjmZpfwpOWk6FNm0x3caWLwGNf\nfxopBM20hzHQzlImozIlN6Tml8l1TuCUC8t2hRRl67BqWvQLh9B21mNNaRxwaGdNav7aIsW3sG4n\n249HcKLQTK+l5j/zfj/OYvJlKt4m3vDvH6KVJnz08vcBcMO+D3BBYx2BY0dtiWoxchTrmU+uIXJ8\nHFlHmw65tuZv80kbR8gD5jYl6lv8cPZnXDr16gPuc1v7k8eUabNS/Gj2H7lo/JUr2vYb9/wNT93w\n6/e5fW/vc0edTXWi1S6T564xL3j/Sw+/IfC3T37XqtplFacXjqTwAOsPMd1fRJuulUoae1JJlZVM\nJmqWRHUL58qpouhQRT5ICsLBERJj4uJKt4oQPuPhSDHndwtrcMOe3m5ilbKvN83rLnziwRd1iuHR\nk69id2+RyWgTnqxaYamQxailiicDUpWgjCZyQzx50UFn/mfX61w0OcnFkxM8fsM6NpQneNTkFhp+\nZXhlFTgeZTcskmsHt/kEjpXeOtIhVTmjgZXKAgUvQ+HJKgM1xERYwxUO60qjlFyf0SBke2uRwPHw\n5CShM4o2CeDgiCq9fIHctFlMuyQ6I1Epk1GDVNlWf9UrY0zfpu/SKyzbj9y983jg03f+5IQcp/EL\nv48h46+e+Ao+9LTXsq//eQAunXo12hhi1UKKMqEzesDHH4w7MkDFHSvSlCtYfo1BCPeQ46LAeRKX\nTr2aP//BHx/w/hNReAArLjyAAxYewAkLxTxekGJlXycbTl4mzXFGpn/0gFwNreK+SFTO2SMPt/JR\n08QV4yR6J+NhDbAeEjt7c2yu+iijcGQdZToYkyJFRD+fKVrX9j8q0zuRlKl4JUAikGQ6YzHpMBnV\nmY1b1IMKBrVfmuepjkeO/+rw5+AA54VwhdSCgRX+pVP29x2dTzEXd5kqjVBxQ67fu5UnrH0IQkjK\n3iTGZLZbZXIqXkSurQ28IyQCh4q3YRg854rRQoVSItPTuHKURhAwl8wxGlSLYDyXkhuRqL0EzjiO\naIBR9PI5AsdDYGXZxlhzMSkk+/qLRK7PiFdCmRhfutzevJPrd+/mNx7+B8f2wh4F7mh+lMvWrT8h\nxzLX3Uovv64wDHOp+XXe+V9v45+/fzPffuWvL6X6cl8Ohnj6+ez+wv896L4XkmuoeOsARabvwZNr\nMWIPofOUQ6be3tH8KBNhjTdedHr8b50qEALck5BMuhKcmqs+CqwWHicH3nzDW5iK6thcjy4LySyZ\n2YcjynhyDQaDFJKJsIbAI9N9cm2j1Q2WE+JJh17eITdNcj2LFDVyY8l2rbTJTLwbKQQT0ShSeFS9\niFwrevkDq344VbCp8iIuGn8lNa/Evv4iqVJ08j4gmYt3IYRnSa8iADSuLONJD09OFS6knjUAI8Cg\nyPQMyjSRwsWhgiNGmQi34EjLwl9fXk8r7TDdX2Q23onAw5VrKHkTeHISIVwCZ4zQGaXm1zFFbk03\ni2llPRKVsZB2WBONPCCFB8A5tZed0OPt6s4SOk+jk7UQCF527sP48ktfTug8hR2daQw5M/15vni3\njaH/8dyH+PgdfwHAD2fu4YZ9HxjuK1bfpJdfx0JyDSPeWbbTaHKkiNDErH/rnx52PetLYzSCZ+HL\nA9vAnw6YT655oJdwQFivncN/nWx40BQfqzg58AePejwlt1qknAoawehQuZGbWWKVERfW3MrEhM4E\njoiQBLiyjiHFEWVCx0MKB0MfgUMz7SEIaGc9tNG00h4CH4F1yuzlMbfM76aZdvnx3Ice6JfhlEAz\n7TIR1jinPsp83KaX9wgdr0iz7WItuh0GHyPaNBlwLoxJsGbuolChqMKlVRfOpBG+rCCFwGAt3gfB\na9p0SdQdyzg+AZKouJLXdHKbzjoe1ii54dDV9d7BhycaV73v6BUWR4o1pQYz8RcKf48yZTdEGc13\n9ryf0bCKMdbR9NI1m7l+799zw97d7Gh3MP9yK8884w08fHTDcF/b2vfQy2Mit4ImQYhgWEQ2093c\n+ke/fdj1NLPe8OfZ+Iv3y3N+oLFcuXSy4FQmnD7oio+Bh/8qjhzH6qOR6R+Q6Bxw2NvbDeQsJPO0\nsjkWkz3kOsWTDonKSFSGK0ZQpoUUUXG1ndHPO0hRwpWjhTdISKKmaQQNlOlT9yuMhSPUg5FirGPD\n6SpexKZKHYHgoY2HndaeIMcDvfw6DJDojMUkxpMunawPgNIpjgjQpm9Nv4RnJZcYlLGKByGCQg7b\nxRGN4r3ybaGBjzEJUlQIHOtSWnICql4JTzpATm4UrphEigqOaKCJme5PE+d9FpMu3bzP3v4CkeNz\nbv3lnD2yMtLd/YmDGWTdH6h6z2AifA53Nqd53Af/rHjtFTvbbebiNnNJi5pfJ3A8HrfmNbz2grfw\nt1/+9vDxUkhi9Q129z5L3S8jEKSqR6z2oPQC2vTITZOw4PR84JYlg7IBx2SAheQaPOnw03lbfDWC\n8w5qCraK441Vk7FTBstln6s4MoTO0wB42XWvP+LHXrPtPczG26m4Y3TzRSI3YFd3D5nOiZyAyLWB\naI5waATjrCtbgzJtcgSR7WIIj8itocwC2nQBYU9yGOaTeWKVUvaquLLBYtIi1zGOCBkLRojciJpf\nphFUhgTXVSxhLv4SzfTa4e8C+OHMLu5YnOY7u3fjSYdGUCm6Vtp2N0hwpFdYmceFTNqSfu37FViV\nEj162fSwEyKEgyHHfnCWccQokXsOrmxQ9WoFSTXC0CNRd2NIWEysTLKd9UhUTsOvMhXViU6iXJ9f\n/MrrTvgxHz62kWtf9ss00y6Jynj01Fq6Wcp0v40yMR+/42Y+9N9vB2D7H/3b8HGOrNv3C8GeXrMI\nBuwz3V8k1TlCeDjCdpUynfPqC95ML7+OWH2dQHrE6uvF1zepepuYCJ/DhaNW3qr0PO1sZbLbUw0n\n4+hldeyyigcFvnHP3/C6hz/8iB7z8Tv+guv37OO2hX1ounjSYVvbjlisAVWfXCv7wafsSW0+XkSZ\nNlK4KDMLiKKVb09yqeqxu7sVjMKTPmPBBGW3hiMsadWTbuH8WcJ3PMAQuhGJyjDkSMr3ycJ4MEOj\nefG1nxn+3s1jJqMSZ46M8nMTE9y+OMvOziz7+tMEThUGmSqF1Nl2PtLiNgVoq2TCGqJFbr2QVIMx\nCQL7nuhCUq1Mi0TNAjY0TiCI1QxSuOR6hkZwBqNBFd/xGPEjAse731JqjxaPW39iCKfLUfGu5I7F\nfWQ6ZywYYW1plIUkoeR6fH96Gy9+yMM4f2xsuP07fvjHfOT2d4DRNNNFSm7AVGkEKQT1oMp4WMOX\nLpmaJ9d9XOGwsTIILjOEztPITM5zv/RxQudphM6T9wvu+9HsP5LqRRaSDjs7nyJV19NaVtSe6sh0\n/kAvYT8IsTp2WcWDBH/1wx/y+Fe8h/VXP5lf/+YbV/SYzSMjvPy887h0zXn085h/u+cOpnu9wtnS\nwxjNzs4cdb9C6EZ0ivmxEC6JimlnTTrZDnLdJdc5IPGdkKmogaaHFCMkqo0yffr5HubiXf+fvfeO\nk+Qqz/2/55xKHacn7GxWDkiILDLGRAkBRiKZZAwGG9tgko0xDtcX26RrX0ds/EMYMGBdgZEEQhiR\ngwGBUDBpJZDESptnd3Kniuec3x+npndXu9qd1aZZ7Tz7qZ3p6qrqU9XT1e953+d9HjZ3p0l0TlxM\nokQNSlOyUAUUpstctoutve3cNvtxdsafIdFfo1988ahdt6WOFdFlXP/8jwKuFfPmXVvY1GnTyxNO\nazo/lolel7FoCEvGVDJFL+9TmKIsi5W8jLLNVds5OtldFGaO3OwCLNYmCALAw5ITFztIdRtLwZe3\nfJtP3/VjpKhRmJhU94jUKrp5j4l4htzsZDbrIhClFszSyXgs4HhpyDxp9W8zlyYM/8rb8WTA+cPj\neFKyrj5EXKS88bov8rc//EsA3v7Id/LKc9/O93f+iF4RszN2ZO5O3mdrbxIlJBPxDJkpMFha4fDg\nday19Isv0vRH+czzfn2/pZUzm+MkOuPsoVdw6+R2DD0AUv0dEv3VQXbt7s6Vi+KGnPLOp/Gj6Y/y\npS3/fNjX6VCxvXfVPutWVp7Pt3d8cL8y9scLSohFLUsNyyJjyzjqmEw+yw8nt/Ho8VNJTc6dc7vI\njeFhY+sIpMePp7ewrt5ivLICgUDb1NmDyRVll0SVwswhRYC1GUo0QSisTWjnM2hjGApqbOtPDZxR\n+0XO6qrrjJBC0isSmkGVhl9DUEGJFrHejCcUFkuvSNjaneWsoZUPmFbc+4uz3/NMrvjNl/Dd7dtZ\nWa2yqdPhlQ+6gEwXDId1IhU4To5UxDql5lXIdE7kVZCiAVZjcEGIsSnWWnw5BMIDq0EoCjNLr3Az\n6w9tuIU3P+xpzGczJddDDWzo+4UjEDeD1WgzS2H1Sf/+7A+3Tn2EDdNTjEQRZ7dG6OYZm9tttvd6\nPPf0s+kXKc2gupdU+KbOp5zBYOgM6W6d3MzKWo2xqFmaFqYDzYt+8UWk8MlNSqRWk+kJdsZzNIIK\nudH40mWr9sxGfX3rB7hw/FSawXNI9NeQVEjNHNZamsFz+EX7/7EiGuIX7V0oIQiV4tzWKwf7X7/p\n/Vxy6hv3Os8Nsx8j1XqvNvOlhGMtMrbmvNX2tf/+2kVt+67HvXtZZGwZJxe6ecwZQ8NUvCEafpX1\n9RYrqzX6RcIv2hOc1hgpNSKc7IwAYu2Mw4xNXWreGrRJyiR/n8LMYMmYS3t0i5ibJ++hqkK8UoBs\nS6dNqHwmEydQVVEBEomkzlQyQaw3k+mC3BR0cvclOBJWCWSd2fQ67pj/j/tlUPVAwJ1/8hUuGFnP\nU9at58lrT2UsitjZb9PNUzp5zGzaKVtvGXSaGCwChbUZlhRtEqBACh8lAxAe1vZBSLAFSrj3Ki5S\n3vrwS4mLNoUpmE27GGuw1gCSqhdR9UIyPY0FOiXpdRl745Fjr+GJq9fznFPfxFg0RMMPOX90jMJa\nurlzIx4JW1yz8e/50Ib3cvE1r+b22Unuac/SLWJ+PL2VzBi2d7sE0iMzBZkpBu25rqumTiCb5GYn\n2hpe8IkrWRFdxprqC1kRXbZX4HH1L/6Op617PZ+688ds7X2aif6kI4AbM3gP19XW0c77hEoxGtUB\npzGzrcw43DvwALjgDf/Ig1quvPXFzf/MfPZfpPo79IsvHdXruz/c3bly0Mp8PHGiiowt+czHbbMf\n5/zhXwccA7+d9U44BbqTHdt6VzEatUqjL8tkMoFEMBatYT7fRa4LRqJRBD6pnqed9/Glx1DQIC5i\nlJDMZT1aQY2KN04v3wlAUpo/dYsYiSQzBTft3MHaWp17Om0eu2o1AJHyaQZVQumTG81s1qEV1Ml0\nTmENSki0NUQqIDcFQ0GNTu5KQonOkAjmsx6FNdy8cyevetDbj9elPKZ4981/zoNHRjhvZJS/+P73\n+M0LLiDVmlObQ87y3hp6eULNC0lNTt2v0PCHSHWfQHpMJfOMV9aQmw6BGi07X4YwtsdcNkWqcwRQ\n9yts78+ghKSXZ5zWWIG2xml6kAMCSZVAPeF4X5Ilj69s+Rceu/I0hBBs600zk8Ssr7eYz2IuGHkV\nv/6l3+Mdj3nM4J66gKnkWnp5gsUym8asqNSpeRHDZXtpor+CJ9bQK+4BIFI1QBKqJw+OMZ18jqoX\nIkWlfLyLml8ZSM7fOvURHjx81sCFWIlmaSS5oIYnKEwXX40yFW8mVAGxTlFCsfog9/xNnU/RCKpM\nJ21WVlr3S1b+SODYZz7W2Nd9bHGZj7947LuWMx+Hgj0/JLVnv3U58DjBYOzd9IuUTt4tdRosSigM\nljvbd9L0x8rAwyPRjnW/4OERFzFSSLpFQqScXseO/t1MJvNs7U0D8JPpHY4HUHbLAHzmFxt58Mgo\n27tdtnQ67Oh1uH1mgm9tv4v/mdpKqgu2dGeYSXsURtPNY7p5wt3tydLyvV06sGoq5Q2wnWUkRcFj\nV60+aXRC/vTCv8Rg8aTirOER5rKUmTQh1ZpNnWk2zk/x46mdbOrOUhjnXjvR30miM5QcZiioMZPu\nQkAZeLQAi7Y9fOkhcHbgudFo40plflnKafgVtvV2lNotXQz9g4x28ZjoX8PmJVSzP5J45vo30Aye\nQyAbrKoM8/CxU1y2sJxkfvzif94n8AAYiy7l1MZLOK3xUh4x9hts780PAg+AyiVvprC7ylZo0DYt\nA8PdGI2eR8W7mFA9mVA9mXoZeOzoX8P23lU8cuw1hOrJAyGyLb0NzKQz5KYHSLr5LH2dYmyH0WgM\nKQRzaZ+ZtMNMeh2bOp/a6/V+NP3Rwe+rqmvZFc9x9tArWPNH7xl8RrftwduYfwARXxewrPNxjHBf\n3hTLWLoozA7W1cZo+A2UGCEu2rSCGoXRFMYAltzEdPIZcuP0HVphjXbW8GMvkgAAIABJREFUZ0t3\nmlTnGGsorKbihaQ6JzMFI2Watub7FEazcX6K2SRmfaPBmnqNduYCmFApekXObJrgS0XV8/j57AzT\nSUzkOb8KJSVSCIajCrHO2N5vk+pikCI21qKkoBVWSHVBN8+47p5/5Ctb/uU4Xtljgxec8VYqKuCC\n0WEmen0C5b58IuUxmyZ084KpuM/OviuX9IrUzaBtQsUbJ1I+gRpHoNB2CmtTPDnCfNYlNxolFanO\n0NaihEBby/bePL0iIdE5vWKehj/Ez+e2HLFzWlV9AacMOjgOHx/4ycEVQI81QvVLtMLnEhdZyc85\ntFt9pjUAP5/7BC+47nXYL99GXHRJtbMt2NLdxcG+PhayD9NJh4oX3mt8T3LZLb+KLxtYciLllyaB\nCikaFFYzHLr2eE9IhsM6G9u7fWkeNup8XHr59RSmQzNwJoh3vOutnNNyImoLfBZwnJYHHBZZclku\nu9wHlgmnD2xk+nts729iVXUFSrTQdo7ZdJ7bZyZ4wurzmEmmmUl7DIe1gYX7VNIl1Zozmysw1rAr\nbhMqRao1Nd+1bCY6JykKvrJ5Cw8ZG2EsquBJSc0P+PnsNJkxLPx9B1JxzrAj4nlSooRgOKwRSA9f\nehRWo60hKTK6eUrkebQCp8DZzWPaWUJc5ATK8VIKY1BScGp9jNHoecfnwh4j3DL5YSb6PX4x3+Yp\na9cRec69NtEFO3pdAukyWYUxPGxsNRXlyjAuq1FgrKXiBRTGlGl5VxJYVxsbcG4Ko8lNQaILQuWh\nhCxnzlVyo6l6q/HlIw/rPHbGn2Fl5flH6KqcOLhx54eoBwGekEghWVcbo+JdjLjofNLrP0ygHs/O\n+DN085gzmy8/4LF+PP3vPHT01QA89dOv5C+e+EQeMrp2ryzJ/vDVrR/gYWNrqKoQbc1eZZEd/WtI\ndUbFc0Jz81kPJSTNwJHDpQgRVABBYXcwlcwyFrUwVrsOHJ3upd+0o38NI+HYXiWho4mtvU+zrvZi\n4NiXXdadv8a+4ROvW9S2f3LhXyyXXZZxciF8zRtpBXVmEicOJqlQUQFPWH02cdGl4oXkxhAol4mY\nS/sEUhEqR0j8n8lt7Ir7JLrAYplO+sylcSmxLnn+mWdydmuEXXGf2TRlMu6Tas3qao2fzcyRG4Ov\nJJva88ymCevrI6yIGnhSDRQcK8qZlK2preDM5krWVkcJpEeqc/pFRmENrTAiVIq6H1DzfWaShF5x\nfBxUjyUeteK1PHLFOs4eGmJnv0fNi1hVHWYkrHLu8CiZ0cR5wVAQlu2YCU2/ynTSGUjlt7N++d61\niYuMlZUWE/EMU4nz5MlNgbaWpCjwpKTiBWVK2Wc+6zHRv+uwzuG22Y8f1cBDvObRR+3Yh4tV1SZj\nUZNTG2s4rXEeFkeWnP/83zCf72Q6+Ry9PGE4bPDVrR9gKrmW7f2r+erWDwDOjG5H/xoAvrltK7fN\nfpxz33cR33jxJ3jymt/Zb+Dxzh/8Gd/Z8UEANrav5MEjq1gRXcZ02hmUTBewuvoCVlXHCKSHFJLh\ncBhPKvpFwtbeZuaybWg7haFLbjL+9Lv/TaSeSdV7FjX/kn2EI1dXX8BkspMt3f886lo+c+nnB4HH\n8cKJmvk4aPAhhFgvhPiGEOJ2IcQGIcSby/UjQoivCCHuLH8Ol+uFEOKfhBB3CSF+LIQ4vOnKMk54\n2I/dTM1fyWzWw5IjRETdPwVBxK54jum0TSuM6OYx97Sn0dbSDCoIBIXV+Epx59wcAkGoPDwpGYtc\ny6cU0CtyJnpdtLG0s5R+kZNqzS/m53nw6DAT/Zit3S5bu12Mca24CEEofXypCJQ3yLiAxVcjGNyM\nymIJlcdZzZWMRA1q5cw9L8tGgTw5jKF/OLmNUCkeOraGUPlMJfPMpH0afpWGH7CmXsdYy0IedUd/\nhsIYal7Fla1K581Q+QgBAoG1zs+lMJrRqMma6gi+ct1KqXZ8gon+JLNpj5p/AEvVRWB/PIcjiR/9\nzaGr/h4rnNp4CSsrz2c+a6PtNLkpqHoR7bxP029R82usqa2i6tV50upzGIsuZU31hTxj3et57Idf\nxK+/7ekDwuebHvpnvOvG73P16/aVs79h4nKuuONvAHjnY97FhhkXZDSDKp/d+DPAmRbe+73I9A10\n8i69IsFYTW5iEu2sFtbXz2QoWE2/6AAQqVV87KL3H/SctTGsr/8qFs189l/sio+OrcbdnUmA48oD\nO1EVTg9adhFCrAZWW2tvFUI0gFuAy4BXAzPW2vcJId4BDFtr/0gI8WzgjcCzgccC/2itfeyBXmMx\nZZfXf+P3+cBT/26Rp7WMpYjM/IDN3TtZV1uDFDWSYpJIjTCVbBu09k0nMSsrdTZ15lBCMFapIoXg\nZzPT1HwfX0l+PDXN09atp+6H9IqUu+fn8ZVkNklYU6tTGMOtk5M8csUK6kHAzTt3UvU8VlarPGyF\nS/2mJidSQUmgEyhRwSl1hhS2jbHGCS2VOiHtrEfDr2JwMtSzaUyoFGc21wxk5x/o2N67CikkgfKZ\nTTtMxT1WVhtMxj1SXVBYQ6o11kLVc0FZ5HlUPZ+6H1L3K3Tz2GWUTE4vz2iFVXp5Qr8oqHoekQpY\nVV1LN59hJu2graGTZayuNY/7DPOBis3d/6ThO76TEnJAAu4XCakuaPgRudHU/QpVLyzLZAVKKrpl\nm/qq6jCJdoThWyY3ccuuSf7g4X9+n6Wur279AM9Y93r6xZeYSzsMBTVq/iV08+tp5/2BUV7dG+Uv\nbvo8737ce7hl8sM8bPTRWHK0nSNST0dcdD4z1/2f+yz7bGxfyWza58JX/C0///SfEEqfFZUhqt6z\n+OnMxwaS8EcKx7rssv78tfbNV/z2orb9w0f+7xOr7GKt3WGtvbX8vQPcDqwFLgUWbBw/hgtIKNd/\n3Dp8H2iVAcxh4QNP/bv9Ks4tBVx79z/wgusWV3c7mXHVXf9NIH1AY2ybQAWAZThsUPFCjLUMhxHz\nWUI3z+gXjtyZ6oKhMCQzmsk45ilr17G12+HOuWki5eNJyXScIIWgk2fEuuBR4+PUg4Cq51P1PFZU\nK9SDgJoXEesMYy2F0WXGw+I+Cqo0RDNOmh0IpEcgPYy1pCYnkD5xkTMW1dHGAidH5qOTfwFTetJ2\n85iZJCYzhl1xl4rnUfMDVlSqVJSHEoJYF9SDgLGoRl52wsRFSqQCar7LhgwFFSQCC9T9gJGoQW4L\nEj1PO3cy/IUxzKQxG+enDzrG/eF4+K2caDil/qsMh7/CmuoLWVl5/sBAcHuvw3BYR0lFtNB2LiSF\nKRBCsKb6QgSC+Syhk8doq5lK5nnKmt/lDx7+5wD3Wep6xrrXA1D1LmZN7UXU/EsAnK8MgkB6tLMe\n4WvexLsf9x7Alf+ceJ3A2Jxefj3XXf47FFazo38N08nn9nmdM5ovYz5N+eGVf0gnS6n7Fe6anwA4\n4oHH8cKJWnY5pDunEOI04BHAjcBKa+0OcAGKEGK83GwtsCc1fWu5bse9jvU64HUAp5xyyqJe//5Y\nZk8mnz1kM7nC/BRPXrDo7S89/S1cevqhjuzkw8vPeRsb21cSF7EjeRqNJSFUPr08oRXU6BYxvpQ8\neGSczBTMJDGTcZ8VlSp1P2AuTaj7IVUvYUu3Q2EMQ2HIRK/HKY0WSkqGgpBWWKPuRQQqpBlUmE56\nDAURSkiqXkggPXYXCUT5v0duJukVrtwSSI9E52hrGI2apDonkB7zWepUFl/+NydNB1bzOW/jh1f+\nIc0gopO561P3A0ajGgKIvICt3VnWN4ZIdcHWbodQKQyGFZU62hi2dOdKIq/zZhEIlFR4UmKsJdMF\nKyvDTCdt6n4FXQYtSVFwWmOID254D7/94D854Dj7xRepes8aPH7fL/3yUb4yDzyc1ngpAKuru9eJ\ni86n/4W/R4pwD68XaPjOsHG84u6xK6Ld+zz+Y7/K9151aC3NC7b1d8z/B5+64w4++o69s12BfAyF\n+RHGWrQ1PGR0JTUv2us9vzeeVgY64LJ3udF7EWf3xH9t+ieec+qbDmnMxxNCMChpnmhYdPAhhKgD\nVwNvsda2D1BD2t8T+9R2rLWXA5eDK7ssdhz3hX+//f/w6vP+aJ/198fF9lACj2UcGs580V9xy/97\nG6c3VlD1GqS6h7XWfdmUgl+R57Gt12Y0cnX+ZhAyFIR4UhEoybZem9OaI5zTGmcu67FhepJunlPz\nA3p5Rqi8gUpjbjSZyQmUpBlUSXRG1QsprEYJRWEKPOm8RgQKU47B4MotzaBKYTIaz/kDJq59N+28\nz8NGT6HqXYz98m8c56t57GC/fBvb+1ejjWYoqLDSC3Z3ChmNJxUrq016pZrmecPjRCpACclUOk/V\ni1hXb5EZ1yodKZ/U5PSLlFD5bOrMsqoqUEIyFLiuJyUlU0mfVdUaofJ5ytr1Bx3nvb+ETm+87Ghd\nkpMKewbZCxO67b2rDjgh/N6rnFqpAKpeRKKzvXSavrfzQ9Q8f79BgLGWP3rks/YrLOfJh1Evzex+\n+UPPY266y3Of/BV+9ZyzefKaA2e61tRexJqae+098YNd/8ZpjbHDCjyu2fj393vfw8FSzGosBosK\nmYQQPi7wuMJae025eudCOaX8uatcvxXY8y6xDth+ZIZ739hf4LGMpQf75dsYrzSYTbtom+JJDyEk\ngXRE0qZfozCGuh8w0evSKVtjA+VR9yvU/XDQBTOf9YiLgjX1Bg8aGSFQktOaI1S8kEy7Vs/C6oFm\ngcB9uRVG48uQ3BTIsv1Q4DOVbEMKOUj3A6Wy5igff/+rUUKS6RxfjhzPS3jc0MsTMuM6jjKdk+gc\nW/7T1iAR+FIhcbwBi0VJSVWF5Looy1g+VS9EScWKqEWofLxSYbbmhdw+u5O5rOv+PowhznM6eV46\nE+/GJ+/8v8THQVJ7GbsndIvJRC9kFzNT4ElFbm4ZPLeqWqcYEL33xtraKLmZ5+7Olft9fgE/fMPn\nuOfPv85IpcKqWp2tvU+zvX/1fW5/w8TlADx+5W/ttf4x47/JeOUyPrtxb7n0WyY/fMDX3xMvOOOt\ni972SOJEJZweNPMh3Kg/DNxurd2T8fk54FXA+8qf1+6x/veEEJ/EEU7nF8ozy1gGQGG0+wISVeay\nKVrBsBP8MhmejDC4G1IrdKSzpl8jUr7TfvAiql6EFIJUO0nvBQyHdXpFwlzaY2WlRWHNoENmwSME\nXFtnv+iTm4KKCshNTmGcqJUnmkiV0M7d85HK2da9h6esPY1AelSjCF8u3bbKo4UF7wyBGKiT5qbA\nlxUkCarMgujU4Jc8GXDvdagCpCiIVDAgNRZWE+uUQHqlgVkdT3pcMLqa3GhWRFV2xXO0ooh+nrNh\neoJTm0OD8bz07Lfx2Y3/wMNXzA7KBAt4zL+9kOt/7VUPeP2V441ufj31kqtxX6h5rg6TG40Skulk\nE4Z7HJEbyepqa5995rP/cpyPvL/ozNVfPvZdi9ruCasOzM277Iy37PX4USsOLF1+69RHjqvJ3YLC\n6YmIxWQ+ngi8EniaEOKH5fJsXNDxTCHEncAzy8cAXwA2AncBHwJev59jHhC3zX58r8e9/PpBn/ky\nTnyc1ngpI9E6tva2MBQ0mM+c6FhuCtrZPE2/RVWFVFTImuoYdb9C5I2hpI8na4yEK2gFY3hSUfVC\nmkG1VDIUNPwh1tdX4UlFzWvR8Cusra1gOHSKiRZLoAJC6SGFcKUc2cCXTmNEihrz2RyB9Aftt5EX\nMBYNEalhqkvQyv1YQFuNsYbIC4hUQNWLGK8Ml7yNAGM1YAmUN1Ck7euUXpE4p9pSiEwKMSivJUVG\nt4jZ2J5FW8PW3gx3zU+ijWYu6xJ5AaNhjTW1JtpappO9TeUuO+Mt+wQeP5r+KFe/9CVIIcj0Dcfw\nCp182F/g8cEN79nrsbGWROcIAVLI0hHZqQ9Ppz0e+Z5/2ucYic7KSUT36Az8APjI7e/D2HsWvf1S\ncNeVi1yWGhbT7fIda62w1j7UWvvwcvmCtXbaWvt0a+3Z5c+ZcntrrX2DtfZMa+1DrLWLli591Zed\ni+G9+8Br/iVcv+kOppJr2dr79KGd4VHGTbsWn5Zbxm5IqjT8KrnJygDAIy5SunmMtgm9Ii3Fxwoy\nnSPwkdSwaEATF/ODfZSQdIsYUwYLqU6QwseSIUWN3OQkRUqqcwqjiYuE3Gjk4M9fkJtikEVRQpKV\nrbjdfI5cF05lURye1sSJDCcx765XYTWB8tGmAEDgo0SEFD6RCjBlWcYTComgMJqs3LYwrgSmjWai\n36Gdpayq1krdD0sgJZ08IdEZmc6Zz2Jm0z4jUUTDDzD2Fwcc50hYQ0mFFBJtO0fxiixjTywIkT3/\njPMH66aTz6GtU7UtSrXhhYA+0RljUZ2b/nhffZRM54Os5tbep4+aRsf+8Jrz3oEUwTF7vcPH4kou\nJ2TZ5VjiQOIxrznvHcdwJA6J/gYAd81vvs+2rEePL85RcBl7w5MXMBxmaDtLJ5/DlwptDf0i4+6O\nc6117pSrKMwcxjolTFceyZhO2mWLZsR81i85Iz7aJESqhqVA4GFJ6GR9an6FqnKuuv0spRlUybRr\n64uLOYy1NANn1a2tIdU5I6EjUw6H9ZLXMI1/H+fzQEamb8BYg7GWTtZ3X+xGU/UifBmQm3lyo/Gl\nwpaCYu28T813WY7Z1CnOrqjUBsecTnokusCzEoFga7fNKY0mDT/Cl4rU5BRW0wwiIhWQ6AxtDXfO\n38C5rTP3O847568gVD4SQVyk5LKgsqTucA9MiIvOJ77+H0tNHMVc+nk8qah4octi5DGhCugXCQZL\nIF0J9b5MQhd4RbNJwnilTlfHNIOvEamnH/VzmU2v4+Zdm3nm+qUrGrcnhADvBGWcLolsTKpnaN+H\n4+C1d//DftcfC9w1v5lIPZXxyhD94kt08+sHz+Xmf8jMjdzduZKfznzsAEdZxn3Bl4+kk3cYj86m\n6Y8wXlnDWUNriJRPP3fOs5I6vhwhM31A4Usnzd7wK6XhlBqQS+fSNt0ioV90yE2GJcfYglbYKNvR\nLO2sT9Vz/hIVr44QXtlF46HtLJnZ4QIZofDkMM1gHaEaQhJhrT7el+yAEBedf/CNDhF3d67Ek67t\nuZc71dG4yAcKsJ18irmsR79ImM/7zKZdOnl/oI8SqoCq7zuBOOnRDGqO4FuWX3KtmYr7tMKIXp6z\nsT1Lv0jxhcdw0CiJqy4g7OUZ57Zeudf44uJLbOtdxfbeVQTSo+FXsMC23izTpXT7nvi32963zzpw\nvi/LOHTsjD/DxLW7jfVykyGEINEZnbyPANp5TK9ICMrAcMFL6c75K9jYvpLeHvfVBdS9CmtrQ658\n6kfMZ/u+l0cDgfR47MrTEBcf+mfp1qmPHIURHRxikf8OehwhniWE+HmpTr7PbF8I8WQhxK1CiEII\n8aJ7PfeqUu38TiHEogRUlsS8QApBpIb3+9ylp79lv+uPNF52/e/yze/ezvR8Svb+7wG7RWjGK5eR\n6K9hbMZPZz7G6Y1xlIyI1FM5vXFA8dZlHASDVmizASlCtJ1lLMoIlU+/SMnMFjw5gi8DCtPFAp70\naARV4iID4coAs1kHTyiGghqe9FAipDAxSnpYa/CkT6pT/JII6VLAKWDLltyChq/Q1hEkRyMPsM6L\nRkSARLC007FHQ3NkXe1cLJp25rx1pHCOtv0ipaICOjp3tzYh8JADpdoMV5rZrZiZURhNN4/p5DGR\n8ogqHqnWZElcGga6IKVX5AghUNp1Ilkcb2B/LZlJyR/Q1uBJNSC0Oon+2j7b/+b5+8+gjoSnHtHr\ndjLgpzMfY0WlSSh9jDVoq9HG8X1m0g6RCkoLBJeJapWBZ1ykSCGpeSGJzplK2mzpfQIlJGcPvcKJ\n+uEsEIrSz6nuHZuSZ82/hMnks1z/ocVTFf/5x+/isjPPZbzSOPjGRxiOcHoEjiOEAv4Fx9/cCtwk\nhPictXbPm8pmnLL52+617wjwv4ELcbIat5T7zh7oNZdE8OHLYX40fTuPHt+3p/tY4cpL/hVK/tTP\n5j7BbTNTe7VORerpoOCCEXjd19/C41av4jXnPXWvY2TmRgK5HIzcH3jywQBk5qtUvBX4cpZAxiQ6\np8Isqc5JdEYrHEbg4UuJURZrLZnMsThGvQs8nFS6J+sl7yPC4rwiZtI2o2HT+bvAgPxYC8bQtk8g\nq4DElzUkFawwWHKsjVGiftyuz/HCZ+/+Ji84/VmkuiBSHhXPp+E79SnH0UlR0ilSdhf8bpSi5oXs\niuep+c7NdmHmNZU4F9zUFDT8kLofIQUY65yCd8U91tUbbO91WFsTtMIaK6LLWFPd//jiIiUzORLp\nlBwRRCrgoaNnEqmn7n+n/eBwHXNPNtw2+3GaQQUpBH2dYrCucwyNLz0afhWv5AiNRUNOO8daJuM5\nlJSDlusFZeMF8ngn/wINv0qsM+dB44ekOic1+V7usUcTcZFx2h6dVQfCTbs+zCWnnYE2hpofHXyH\no4Aj1O3yGOAua+1GgLJb9VJgEHxY65i4Qoh790dfDHxlgfcphPgK8CzggH3SSyL4mEt38rPZaR49\nvu9zv/+dt/N3T/rrYzqeB7VeyYP27QAb4PKnuVLQVHItdb85uMktBB65uemkbMc8EojUM8jNTWXJ\nQ6JNQapz5rKuS9ObScYr40wnsxRGYzDU/QqeUOUsu4YUVcDSLyaQQqBEMZCEXhG1nH27LVBW4ssK\n4JRWpVAIUcHYLhZNYafJTMeRJq1haA8b8JMFLz7z99H2DkajBne3pzDWqY7+cHIXDxsbR0lnEOdq\nz5KqFyAQJDpnNKqT6rxUo7TMZzHraiP0ihidOd+QVBcoITm9McaO/gwANT9gOKzhCXlQkcDcaASC\nXpHSDCplcKro5nNE6lhcoZMPif4GZzZPKTU8DGDITY4QkooKMNZQUUFpIughUAhcm/sZzdV0cyf7\nNJ22WRG18KXTeUl0jizb3z0psdYFL07Cvee0d/ZNZt1vpPrbhOqX9ll/Sqnguphg59Hjr+Wezic5\ntfGSIzewQ8RiSiolxoQQezaAXF6KfcL+lckXO5O+L1XzA2JJcD5m05SXnLXvHwHAux73tH3WHaqS\n3B9/78CSzPcXY9GlzGdz+6xfDjwOD4WZQRIiRRNPNohKfY6aFw2kcrU1VP0QJRS3z0ywYWY7qXEq\npaDRdrb0ZxFIofClhy8DpJAYLL5YeFxFDu5oAmtdZ43bUzlSqhCE6j6m3icBlDiH4bBRyqDDhukp\nRqMKuTFk2hB5Hr08Iy5cCcZgBoTeBVfgiueRG02viAfk1AVZdV86I7NIBYxGVcbCIZp+dVEiVro0\nAPSkLAPQFmCWNT6OIpRoIkQVJYZQYgQlRghkHZBIUcWTFSIvQogAgQ94IBRCeEgq1LxRat6YIyZn\nPdp5n4oXUPVCpxVT6vNEXogvPGSp7zMS1rlz/oojdh77Czz2RKQWV2Y9rfFSvrn9Xzn3fRcdiWEd\nEhbKLov0dpmy1l64x3L5vQ51byxWefx+7bskgo/Tm6cQqMeT6m/utf61X33zfjX7D1VJ7r2Pd73n\n77jhj/nI7fsnnC0GC90ve+K+jJOWcf9R8S4GPJRo8ck7b6ByyZtZVV1Z8jIqaOuMrGbTLpnJWVWr\nMxxFWAuZmUPbLlI0CGQdX9YQhEjhAhiBu6kEynccDmvKm2QFkOSmgxAR1rrW0EawEik84uLYaw4s\nJXhiJa0wYigMOb3ZYih0SrMjYRVfeDSDCIHTTdHWkOmcWGd4QmGxCJwS42TcYzqJqXg+UgjqfliS\nCqsEyseTilb4XFrhcxc1rn6R0QrqpWqqxNq45PIsDgdq3b/6F8su2gvIzU1k5gdk2vHhBB6CsAwu\nRBmwh1gyhKiUzwmkqJSZD5f9MMQI4SNFjTXV9a4jpshQQhGqgNm0w1zWpZ318aWi4tX3KM+4LOf2\n/tVs7h6aZ8xset1+1193zz/y87lP7Pe5N33zS/xo+qOLOv5T1vwuP3/Hlw9pTEcEQqCkXNRyEByO\nMvn92ldYe9i2KoeNCy+80P7399+9l4DT9t5VBMpnLLr0sI8vLjr/mBiAbep86rim3x5IsHYTlgJj\ne1hSrM3Z3t9MpAJ6pU7HgkncdNKl6vsMBw0i5SOExJMtBAEW16EhEBiblCWZPQN1DXglsbSKpcBa\npw9icWRGY/uHxB94oCLR30CbhNtmt5eCYx6jUR0l1MCoLy5StDXs6HcIpKTi+ZzRXEM769LOe8yn\nCRXPH2Q9jHWZkYXZrsVyztCvLXpMd8z/B3W/QqozxqIhl82iul9PkAXc1b6C9bVTCdWTjsRleUAi\n1d9EikYZXEgsOZKwLLVoLBprXSABYGxS7mkR+OXnTpZrXDAoUAOtHIEEPKyN2d7fTMULafgVEp2z\nK54jLoqBeeFwWKfhD5EUzul4NusihWRnv80jxg7fX2lX/Fl6RczpjZfxg13/RmHMQZVQ7wtCiGNq\nW3/mQ9bb935mcU0ZLzn7bfc5NiGEB9wBPB3YBtwEvNxau2E/2/478Hlr7VXl4xHgFmCBOHUr8KgF\nDsh9YUlkPoB9lCPX1F7E9t4BybJLDguBx71Ni5Zx6LDkWAreccMVCCpo2xmw4MeiISplSlQIwXil\nSd2rOM8RUww8ai0ZxnbKUgxI4UikAg8XjgSAV94s03J25jlBsXIfa1O0SfY3xJMOAoWvRpECtLUI\nBP1id5bB1fjd1e/lOXFR0AwqGFvgS0UgfULlyi8AqS7o5tkg8JDCCY1t6121qPHMpNeVQaXjoTj+\nR4ThwJmPs5qvIC72LZcuwyHTN6DECNamGNvD0Cs/I7YMJKwLLoSHtQvBvecyiCIsTRpdt9huSEBh\nbVYGNJTHKQZGgrnRpdx+7lRyF4TJjEGbBCHEwAsmKTJGoxrf2fHBQziz/U/GxyuXEUif7f2recz4\nb+LLE4ssJIVY1HIgWJfq/T3gS8DtwH9aazcIIf5SCPE8ACHEo4WEPAgAAAAgAElEQVQQW4EXAx8U\nQmwo950B/goXsNwE/OXBAg9YQpmPm29etBDqUcP3dn5oH8OhQ8F9EZiWcWjIzA/wxCjazqDECN/c\n9iWesPpsenlMJ+/TCur0iwRPenTzGCkEVS/CWEMrdLM1KRpYm2HRZerXw2IQ+Bj6KNF0L2YNhrSc\niQF73DRTvQVftgjU44/LdViKyM1NtLMd3LRrM3XfpxmErKwOlRkMn0zndPJ4EAzU/KB0t1X4UmGs\nJTM5SigW/GFinbnA0lpaYZ1I+fstt+7pojqTXseO/gyR8vGEorCatbVxlBjFl484xlflgYNUf7sM\n0iM0Xazto61TDPbEWPlZEYAsM4RVLBpjuy7gEO6Lu5vvoua1cAqcPtYuSOO7z5cUEYKg/Dz2XJlT\nKAozS1ykNIKVxMUUG9u7GK80aAbV0tixoFckCKBbJGRaU/F8zmy+/Iic/z2dT+4j2X8oOB6Zj7++\n9vcXte2Lzvz9Yzq2g2FJdLssFRxO4AH7Ephc29izD+uYJyMk1VJG3UPg8cTV5+PJNTSDDkrsYFt/\nunSnNYxXhqh5IbnRVLwWUtQQSAwJUjQAXc7aCnKzs5QBH8JaPWCJCwK0nQEss+nUQHnRkxcct2uw\ndOFaIh80PEaoAmf250coEWGx+DIeSGPr8hrnpkBjiIvUOQZbjcagpKQZ1EiTfDDrTXRG1ds/uXdP\nAupI+CsU5rNOXl9KsqJAiVGC5/wa9vp9MsXLWCSkiJygHhYXJDQAhcskFuVnKYPS/NEF9CGCxJFK\nyyC+7rvWRYGPtUlZAi3KQCTHYnAlT4UUTYRQaDuPJ4dpBXU0HareKs5tKeazftmVZpBCDwwipZCk\n0jke37vkfX87Dg8n8DgecGHgiYkTddzHDG/81tsOvtF9YDnwuH9YuEG5oGBuIO61M95IYTWR8ksz\nuRqFKfBli6q/oiSOBoAqfWDcbMti0HbOpfdFFXfjLLDkFHaKVG+mMF3msumBaNUy9g8p6m5mLCTG\nGkLlCIcAkohAVmkG1dK1VCCFxJeeCxBMQWqc54sQAmMtc2mXigoRwpXQIhVgSrLvwVCYAiWdWVnN\nj1ypbjnwOEyosmylEUisTUuRPTA2djyPcs7qaAIFlj4W44IKW2BsWhJSJe5vQ5STCfd4d5ZR4D6L\n7vkFvhXgiOA4e4NI+VBmLRcIze4+EJTu1hmB8vmdr+9uRDhpOg6PHOH0mGPpjWiJ4f2//H+P+DHf\n+u23H/FjPpDg6sdO7vyxl7+T3/ralRRmJ8ZaennCz2aniIuUvk5RUpGaWYztIqmVN0SBFBHGpuRm\nAkuMEi0itQpJDWNjDCmx3saueIJukVDzL2Fl5fkn3MznWEOJc5AiJFQ+3Twm0RmeaAAehh65iclM\ngbGGbpGQamccmOiMwjhBt36RUhjndLuqupZEZwwFNcaiJjVvaNHOwWtqLxpwTob8KtqcWByxpYbZ\n9Loyu+H4GeCVE4ECSr6HoYexvXIPWfJADAJZcj4CBKoMJmzZ/RKUXKpa+dle6JKx7hg2R9t5JLWy\nVRqkaAKCireKur8WawsK00MO9HxcENIMagwFNQTw3ic+bS8LjJMB4hCWpYblsstxwN//0rEVTTvR\nUNhpFHU+/rNvc+Pr3olFk5tdFGWHy5lDw84fopTrnku7NIIqY2EFUK6ObC2pniczBXV/Hk+MY22K\nEApPrsDahEA2WF9fzk4dKgQh1lpqfkQofVIzhy9DJFV8aRgKPFKdUbMVF4TkMTWvwkjoY62lTY+5\nNGEsaqJtj+GwQdWrEKlnHPJYDqUzZhkHRq9IaPi1soPFuiDCaoSwjnRqHV/DUrCQrXDEbIMVAmsT\nwHNZDptisWXXmAahXPlFeLivnQInPCZY6JBxZZUGxvboF5uoeaeXGZMCX67GkACWiicwtqBfpERq\nqDxWl/msd1J2Gy5Fx9rFYDnzsYwliJJXrzXvufkqnn/dvyAQA1v2qNSDsFh2xT2EEM5RlWzQyQKa\nSA3T8IexVjsxMeG4BMZ2MSRYUh71/y3rtBwqhAgYCVfTLLU5ALp5182ARVDOWp1/jihLL9NJh3bW\nI9YpnSxlLk1Ksz9KI79Vx+18luGwrvZiLEnZwSLK0okY/I6QJaHUvW+ScI8yScHurxPLwiRg92OL\nEAHWFmWQ4rIjohQfy/QEQkQ4HghE3tggi+L4IilOS8Qrsyg+DX/IteGjCZRXlgBPPkiXdzrostSw\nnPlYxpKDEkMIfH6wY4J/e8YrEMIj0ZP0i5yaFzIU1Il1hhSCQDr1w1TnWH/BCK6GpUCKZtmym1KU\nnV+SECVaGNsj1lPc8jvLbqaHCoGHJ1cQCUVcTDLRn2FlZbicBVuM7ZKXsvi27BwKlGIy7mGsIdYF\nvpTMpB0qXogSEl9OLd+MlgQMUtQYtMkKibAG8EuyqUaIADAY23ddZcRlhkJjgQUpdYQclGAWMiQu\nCHHCY1JUy2NUCdUpGDuPFEMI4aNw5Rcn+Jc4gqpNypJNCKRYCjp517XZW8tQUDspSf4naOJj+fO+\njKUHgZsBRb5Hr5ii4lWoeecyFMwR64yKCZHCWXO3wgpByT+QhOXMzOBmVk6DYFc8S8XrkeuC0WgM\nIaLyJraMw4HLRuWsro4QeSvcSutmroXRA6fZUCmMNQyFEBfuPYk811qbG40WhmH1lON0FsvYE918\ngrjYxHjlQUhRAbvgIaYGLbYLpRKE2ENMTCBEZaD7AQtCYsZ9LqHsdgkH/BCLKUs4zhJhIWO2W6jM\ncU3ADsbh9EUUWIU2sTMtXOCAGGc+2TiJEiBOXv3EvJMtqeDjWCmRLmPpIjM/QFLjP37+ed7zhKdS\n9RoYm5Lqu5z7rOfaAK2FTLsyTGE0I2GDzMwjhaAwzllTiQZCRHhC0vCH8IOVIKQTTrJ9Kt6a43y2\nJyakOItMfw9LSis4tZzVupS7Zg5JlaGgKGfIGm1yfOExEc8OjOeGggqjUbMkDx57K/Jl7B9butP8\ndHqK0coET1/7FBYCeQYE0oXMiCmTI6bkdoRY61ppBXJ39wsGSJ2kOpUyQyJK0qor6RR20rXX27TM\nkjhDOrtH15MtzR+xAmudNsx81qXqudZ5ScRcftcRKb1M9K8ZtNufCDhRg48lxflYDjyWgdVoO8N/\nbdyItgYpmkhRRQiPFdEQzaBGbjRSCJpB1YmLYSmsKT1FCjzpIYQqZ06a8co5OJExJ9fuUsHpshjV\nYSBQjycz/TJVXnVfOsIvTccipKjgiREETjo9NTlNvzLwc9HWDLIjB5JCX8axxUNHX80z1p/F6mqd\na+/+MtPpLwDtMhYidNmQsj3WdbdEZTDi9DoWMl8ugKiUXKtwULKRolbuU2fBG0ZSLQNVWWZLnDEk\nZbeMISHV82zvTTKXzrMznuVnszsw1jIU1Fnomkl1zmx6+B5MJ1LgIRbJ91iKnI8lFXwsYxkIxVW/\n+D5T/T4Nf0FsytLJOyjp0y8StnXnyI3mj7/7dXJTUFUhElEaUTWRYkEe2bXxCRGgxPCAjJqbiT3I\ncMu4v2j4z6aTz2NsgrF9Bul4DCDRtlOqX1q80jgsUgFCQMVzPiGeXFLJ12XgCN0zaYwB7pjbxXcm\nvlsGFQJjO7tJpliwBdYWSFHH2PZAcn13yURAaSonCUtiqtt3QGYVQWmDIMsMR+YCE+GXHTc5Fhiv\nOB5IO0tYXWuwtjbuOCJ4WDJaYZ0zmi87thfreKPUx1nMstSwHHwsY0mhm+/k1973n1x8xpkoEZYz\nICiMYS5tsyueR0nBfNbjbY+6EGstVW+Eitca3Mw6eZd21gUshW1TmCmnV0COtSkV72JC9eTjep4P\nFCghifVmEr0DY+dZcDgFV583NifyKighSw8XaAV1rDUMh79CpJ55XMe/jH3RDJ7DE1Y+nDOHWmzr\ndrAWNsz+oAwwJY94/5/wt/9zZUkEzbFkpdR6o1QnLjC2XS7zWJtQ2B0gPBBOfOyDP70a71kv4pvb\nv0VutpXE1bwkojYHztJOebggUjUCNUKgfJR0AnWuVJNgbcZsuvmkFQh0An0HX5Yalqcdy1hSKIzm\nR3/zBl74wSt4w0Mfgy9DjI3JdE5mCkLlcf2me3j0+DidPCOQilZYB8ATEiESWsFacjONJUUJl9LN\nzXaUaC77tBxhtLM+o1GTSK1hJr2b4XC9S6WL2sD11JIQeRUCW9DOevSKhHW1Fx/voS/jAAgveS3Z\nFz/B9u53yYymm2fYUpzvljf+LyR1oMCQYmwHsKWqcH7AwP7z9/wTs2nCa89/Mr/1xUsQeMxmGxkN\n1yNEc3CsBf7HQqeMIMTYNtpqhoIqTX+3BL+hR2byk/ZvaimWVBaDg2Y+hBDrhRDfEELcLoTYIIR4\nc7n+nUKIbUKIH5bLs/fY54+FEHcJIX4uhFicXOEylgEMBSOc01rH2rNW0sn6ZDpBl0z32TRmOukz\nXonYGffZ0euzrdulk/fp5TGpKUqBsZhMFyRFgvOhcDbgZmButYwjiW9suwMpaniyFJwiR4kGSrRQ\nooEnxpGigSdb+NJjLGod7yEv4yD40ZVvp19MUPU8fCGpeM4ATooq08k2tJ0pSaUZl2/4HpF6BoF6\n/EEzitoa1jca3LhzA3fM/wSAThYzm97mMh8iKAMPV7ZJdcJEf6d7ber08oS4KJ2QRYi2fTq5I56e\njBCAEmJRy1LDYsouBfAH1trzgMcBbxBCnF8+9/fW2oeXyxcAyudeCjwYeBbwASHEieVRvIwjCnHR\n+QffCMjMjaS6w0R/ip/eupmK54iJ2hp8qah6PpNxn2YQsLZW55xWi3WNBgKBkgpPSHITo22/ZOZb\ncpNhbU6knkGonnSUz/Tkw6mNl3DR+kfQzn5GL4/Rdr5UpJ0oNT4UhoRMTxPIxzIaPW+51LLE0c2v\n57zhh1EYRx71lSJQEvDY1tuILxVxMc9E/07iYo43PfTPFn3sS09/C2/97BcpjOGuuVl6xRb+/fYN\nfH/nPRg7j7F93n7DFeRmF8b23cSiSJlL20zEW5jPYn4+O81PZ7YDDPhdI+GvHPHrsCfu7lx5VI9/\nODhROR8HLbtYa3cAO8rfO0KI24G1B9jlUuCT1toUuFsIcRfwGOB7R2C8yzgBsfguJkGgQk5/3Z9B\naTzmuiJSPOlR9QIePDJOr0iZT1PGKlVaYQ1tnDvmgmlZYTVNfwTnPZEuBx1HGW62+x1a4XPvc5tg\nmV12wqDuXwJAzZ/i5f/6Ka554yt48PCrADh9j67oVnj/jv8/r7+Wif413DCxiQ0z21hdq7Ku3mBj\n+2dEKuB/PfqX2N6fZj7dRiMIUUKgrWGi32Zrt0PV81lTa5CbKaw1tIIDfR0dGZzecETWRH+Fyzfc\neEgB19HF0gwsFoNDuiUIIU4DHgHcWK76PSHEj4UQHxFCDJfr1gJb9thtK/sJVoQQrxNC3CyEuHly\ncvKQB76MByIsgojx053YkBQCIUBJRSA9xqImoQqoeSGhUlQ8f4+shyKQ/h6dFU8mVE8iUk8/zud0\ncmA5wHvgIVLPZOLd3+IJq153xI+9qvoCLjnlfM5treKsoSHe/q1v8e4bb2Qm7RNIj1WVEXb0eigh\nKaxhU2eG7d0u27s9zmoNc1r94YTqdLpFckwdbDOd8RvnPfKYvd7BsCD7tphlqWHRhFMhRB24GniL\ntbYthPhX4K9wBfW/Av4WeA37N9Cz+6yw9nLgcoALL7xwn+eXcXIhN7dSmDniImXXT2b4wHtf5tQx\nRYAUHoIQbXs0fFm21IZoo9FWMxo2yUxBXKRIIZFCsbX36ZOWgLaMZZwIqHgXU/Hgmevdkuhv8NUt\nP+H2mWkyrZnPMib6fSqeIteGbp5z0amncVr94SAkhdnOysqx9WZqBs/hpzMf46yhr2FsTtV71jF9\n/X0gTlxjuUUFH8LZHF4NXGGtvQbAWrtzj+c/BHy+fLgVWL/H7uuA7UdktMt4wCI3u1Cizrtu+hqz\nV72Xmr8S8EonzACLxhdVLDmRqpDobXgyQooqhZkjVAGhishNikA8IAOPD/zk3bz+IX96vIexjGUc\nFUTqqayo3EXV84hL9eJfXncKY9FQKZteQ1JnOr1j0P12ZvMgBz0KGInqZDrh5l2beMa7H8fGv34L\nY9HQoFx1rCEewN0uAvgwcLu19u/2WL96j82eD/y0/P1zwEuFEKEQ4nTgbOAHR27Iy3ggQokaqZ7n\n6z+8nYrXRFApWzYbThWR3Zxl8/+39+5xllXlnff3WXufS126+kI32NwEES9oAEURjWbiNaiJGmMi\n5GZ8zTjJJKMZE6POJMaJ40ycdxKNiW/ymosmM0Zj1HhDREJ0IlERQUSQi6AoCE3TdHdV1+2cs/d6\n5o91PVVFdyHdfaqq968/1VVnn332XmvvfdbzW8/ze57FApWtsdpHtUchE6jPiOmYLbTM5Ki6cUTR\nEI/1h7PfdWSFkBsNF/zCOzhtaitbO112Tk5w/Z57uXN2D9P9Ob57YBfTg3uZrxaxqnHRwqMNVWWu\n6nHe8Q9n9k/eQrdo0zITI2nLes52WY3n44eBXwC+ISLX+W3/CbhYRM7FhVTuAP4dgKreKCIfAr6J\ny5T5NVVfc7dBgweA1Xme93d/w/S+OV+4aOBLOQtOu+y+PIYxQBlvHY9Q0Kt3A1CaVqPvaLDmcP1r\nPjnqJqwrBHH6I6bgk3f8MS8+/Tfie7fP/B3f2HM3zzr534+qeQBMlF3Gys383lWf5ukn7uQ5pzx2\npEUL1+vaLqvJdrmSlXUcnz7IZ94GvO0htKvBMYa9vQNMbhrju1fucms9ULiyydrHlWcGkQ5W5zwZ\nUd7wpQ/zR0//HyNueYMGDY4EfuK019Krv0CneAYAZ0z9LGdMwb7eJ+kWbcbK0ZSQcsGAmv/ylBfQ\ntwdGnjq+TrnHmhTBNjjG8KV7/4LN7Qlefc7ZnPX800D8Cql6IBYbUirKn/gp2hf+PCIdkIL/9tTR\nxFjXAn70Qz8/6iY0aHDE0SmewXz1Gf7gmrfEbZOtkynNjqPelpn+JQBsbr+Qfb29VHaW99507VFv\nRw55EP/WGpry6g1GjhPHpzj/Xe9iz5557rtxL/Y1s1jmAeuX6S4BS+/jf8ET3vVWWmbtpLqNCp//\nmf896iY0aHBU8O2Ze/mNc/8Ni/Xl7O8dQET43oG9PPn4ozcO3DP/UTa3x9nf+xSTrVPY0tlEKTt5\nzdmjnwCt17BL4/loMHL8/bdu4sKn/BBzixW/859eRMucgpEJ3nndF5irFhHaTPdnUQZc9ev/AXnp\n2aNucoMGDY4SHr/tFbzt6n/i7269hsW6z+b2FOOtozdvvuPAB9na2cpPffLvGW/toDTn0C2eS2ke\nf9TacDDIKn/WGhry0WCk2Prbz+DJJ5zALz/u8czfuI8TxsdQXcAwweue8AJ69YD7e7vZ2jkJoUXL\nTDL3of931M1u0KDBUcSbz38Jv/L/fZzP3/VdXn/lpbHi6pHGfPUZ3nfTDbzysx/iH1/0i0z37zkq\n510tXBFGs6qftYY1GXa5Z/6j7Bx/6aib0eAoYP9193Pb/v3cvG8fAK/7i0s45z/t4LwdD6dljmd7\n93i/3HYfyyJf23MbTz3h34641Q0aNDiaaJkn0/8Tt0LHLz32yJ5rsf4nKjtg07//PfjuLIuX/jki\nXe6e+zanbbroyJ78B8Ba9GqsBmuSfDTE49jBM175BL65dx/v/tAXAHjKU0/nKSc8AcM4Sg+RDsoA\nqzMUsr0hHg0aNDhiuPzOd/O8330vP/TEnfT+/J1Y5hHp0jbnc9qm80fdvBUg61bzsSbJR4NjB295\nxg/zqK07eOdbPwU7uox126AViNC+8BfoXfqXACNPZ2vQoMHGx3tvvJGb3/laOkWLPYt3gwjbO+Oj\nbtYDwuk51if5WHuBoAbHDOTFP8RP/+kHef2//DMnXnAC3LfIV750O0gBVPQu/UuUikoPjLqpDUaE\nE3/3Rx/yMV55+Wt44p+95KE3psGGx18/96Vs625iqj2BEcNUa5x28bRRN+ugEFndz1pDQz4ajA4L\nNf2+5fydO7n7y/fytF84m9e//JmgFsViWaDWBYyUzFefQZ531qhb3OAo4w0ve+hVa9/73Hdx7a9+\n7DC0psFGR7d4Dpd85xb+69Vf4GHjLx3Zei0PBmaV/9YamrBLg5Fh6uxtzFy/l9f9t4/yhre8mEuv\nuYGr77kH+4RZRCuENlBR2T59W8XSyw2OHbz2nN8ddRMaHGP4pce+YdRNWD3Wah7tKrD26FCDYwYz\n35sF4KJXPpW3v+XjjE+NASCMYWQCpWLiBf+RTS/8TbZ1mgW6GqwNyC+ex9nv+gk+dNsfjropDRo0\nFU4bNHjQ2N+HUvjgO/4P573sMXz5/Tdw3Qdej0gbZRC/MKc/Y+chDtSgwVHErgV++qlP4J65+VG3\npMExDkH8WjPrDw35aDA6nLaJEx82zt1fvpdrPnwzAC/60//Frb/z+4Dyr/d8swm1NFhzaJ7JjYnz\n//Kn+Movf2TUzXjQWJ/Uowm7NBgl9vV4+gWPdn/v6HLOix/JTz/7ybiF5PrMV9UhD3Hxpb/KZXf+\nKfK8s3jzVb/DTP+SJrOhQYMGDxrrkXjA4Qu7iMiFInKLiNwmIm9c4f2OiPy9f/8qETnNbz9NRBZE\n5Dr/8+eraXfj+WgwMug/XIc87yze8JYX8/a3fJxLfukXmWyNsb+/h63tE/jhnacf8hgvfuQZVNby\nvnf9Eq/844/y5e/f1WQ2NGjQ4JjB4SgyJiIF8G7gucBdwNUi8glVzd18rwL2qeojReQi4O3Ay/17\nt6vquQ+q3Q+51Q0aPES8/S0fp/XozZz8k29my4+/nkvvuJVKZ+gUbb41/f6DfvaiM3+LFz78Nbzi\nMb/Nz77kPD770vcdnUY3aLAE8ryz+Ltb/+eom9HgGEIoMnYYPB/nA7ep6rdVtQ98EHjxkn1eDPyN\n//vDwLPlIQhOGvLRYKTQz34THj7JR3/zYgB+8j88nVe+9m+YeMHr+M6BXYyVbT7zvT8F7j7ksf73\nj737CLfWYefv/GhTc6TBMuhnv8nPPuq3Rt2MBscYRGRVP8B2Eflq9vPq7DAnAXdmr+/y21hpH1Wt\ngGngOP/e6SLyNRH5PyLyjNW0uwm7NBg59C++Eo35P/7JlZx4wQm87qXP5PEvf3vc55PvsZy9/WH8\n/Cc/zhc+dRP6/mtH1Vz+9bf/HWe87K3I885qxIcNGjQYKR6E62GPqj7pQRxGV7nPPcCpqnq/iJwH\nfExEHqeqMwdrTEM+GqwJLDXi0bMwWfIzv/w0di/Mc+rkz/AvF/8MXDyCBmZ4xNTF6GdH3IgGDRo0\nOHyptncBp2SvT2a5uznsc5eIlMBmYK+qKtADUNVrROR24FHAVw92woZ8NFiT2Egehae//2Ku/LkP\njLoZDRo02IA4TAXErgbOFJHTge8DFwE/u2SfTwCvAL4EvAz4Z1VVEdmBIyG1iDwCOBP49qFO2Gg+\nGjQ4wrjy5z7QaEQaNGhw2CHisl1W83MweA3HrwOXATcBH1LVG0Xk90XkRX63vwKOE5HbgNcBIR33\nR4DrReTrOCHqr6jq3kO1/ZCeDxHpAv8CdPz+H1bV3/MM6YPANuBa4BdUtS8iHeBvgfOA+4GXq+od\nhzpPgwYbGc/9lfNH3YQGDRpsQByu0umq+mng00u2vTn7exH46RU+9xHgQRdJWY3nowc8S1XPAc4F\nLhSRC3A5vu9Q1TOBfbgcYMhygYF3+P0aNDim8b4Lm7VpGjRocPixXtd2OST5UIdZ/7LlfxR4Fs7F\nAi73N5SVPKy5wA0arHf87pf/MyeO/9Som9GgQYMNCJHV/aw1rErzISKFiFwH7AYuB24H9vs4EQzn\nBB8sFzg/5qtDvvF999330HrRoMFhQL/+IgvVZYf9uG+94G2H/ZgNGjRoEMqMre5nbWFV5ENVa186\n9WRcJbTHrrSb/72afGFU9T2q+iRVfdKOHTtW294GDVYNed5ZXL37r/iH2/9oVfu3i6cxVv7YEW5V\ngwYNGhweCIdHcDoKPKhUW1XdLyKfBy4AtohI6b0beU7wirnAh6/JDRqsjN0LH6NbtLhl/y6efPyr\nYrruk48fccMaNGjQ4AhhLeo5VoPVZLvsAAaeeIwBz8GJSD+Hy/X9IC739+P+IyvmAh+Btjc4xrF7\n4WPMDOY482UurBHIxjnbv8J89RkqWzNenkxpzhllMxs0aNDgiGG9SipXE3bZCXxORK7HFSK5XFU/\nBbwBeJ3P+T0OlwMMD5wL3KDBYcXxYy/h1MlHsuvjjnz06s+zv/cparuPmf48LVNS6Z4Rt7JBgwYN\njgzWr+JjFZ4PVb0eeMIK27+N038s3b5iLnCDBocLe3uf5Pbp3QA8bHwTnaLNnk/8AYrSLbtM9w+w\nrbOTdvHUEbe0QYMGDY4sNmzYpUGDtYLPff/PeOZJv0ohhkdM7aBlCqbaL1y2X3dsBI1r0OAI4l3X\n/1dec/bvHHK/ucGldIqTKM3ZLFSXNQLqDY/DtrbLUUdDPhqsC3x75gM8cvNx3L/4CTpFi06rjdBh\nYL+GMqBtmgqiDZajsjdQ6S6EDkKBYlEGGJlYV8/MRWc+fuj1/YufYLK1jU7x9KHtneJUBvYuap1G\npKBffyn2t2XOW3bcWm+lV38HI4bausoJE63nH7Z2D+w1zFe7ABgrtnJgsIfjui+isjdSmscdtvMc\ns/Dl1dcjGvLRYM1iobqMXQt7sap0ihbbOptYrAcYMXSL5466eQ3WKOYGl1KaSUQ6VHYfRtoIBYXZ\nTq37WBjsR2QeLb6AUCLSpWWWRZaPOAb2GgCELlCj1CgDQFHtIdLBMAFYtnZOYmCvQShR+ky1TwaE\nfv1FlAo3A24jGFrmZIx04nlU+ygVvfpKlIEnYTWGLqD++gi7F/dQWct89V5O23Q8Y8VWkAIQ0Nq1\niwqhBVKgOo+i8XhgPckzgGBZRCgZL49HcO2ZancY2GsxdGFm5qIAACAASURBVKnsDe7Y1EuujKJY\nBIPSR3VAu3jakbwV6xZOz9GQjwYNDivGX/Af0c9+k7+5+X/w46c9hun+PGNFm/HGlXzMY7G+nIVq\nkbGyS20rFOjbCquWTa3jcIZQ6BSn+U8ooBgmmGyNIZQgbvizOktlv44bDp0htCxi6HqjCk7KRnwt\n0uLyO6/ihQ9/zara26+/CAiIM8xojUgbp/mvgBIjXXdsjC9Jqaj2AYNIB7SOxt6RFYuRzUggCNEI\nWazOeyITtiuFbAGsP6f4cwmGAYrlpIkxUItS+3OAas/vV2ZkSIACMVN+f4urqpAbQfVHEFw1BkXp\nR3LiCBOub/5eONLi+6Z9LD3/esDAXg0UFLIZI2es6pofO2jIR4MGhxUhdfYVj/lt7pz9EIv1gIGt\n6BTDsWx59VPQ91w1qmY2OAyY6V9CIYaZwQI7x1+64j4D+zWszlLrPIV0mCidd8OYHoihZfre6C7S\nkhP97LxC6aFUGLqItFF1hhtdwBn9STeb90ZaKDFU3ktgnYGVNkoPGKDaQ7XPc0+5YFV9e+vVb+YN\nT3y+90y0nHGXieidUGrnWfAFoy2KIxcVRPJjiR4IMaAWUBBFVXz7w6d7WF3EeUNcvwTxZARggDP6\nBsV9VsQAY554BJKEO48/n2KzXlVY7XlPSOFJionXz5G9wrfHXUu0RqVyRIbCb/fn0xJDxxOyApFx\nDAbVCpESywJohWURqze6nuqMI2UIQpvSPC56gjrFj6zq3qx/COt1cfqGfDQYGWb6l0TB6L0L/8iB\nwTxjRYdaLRNll6n2ScwO7qbSmm2dTbSK4xCEWqeZ6V9Cu2hTyLaGeIwAtd5CIY8+bMcbK4+n1hms\nzjGw1wKgDBjUe+kUp1DpLgrZRiGbKY2riOxIxCJI4cIqsgnEreRg6YFarC7gPAsGSwUU0aCqDvwM\nv3AGOHoE3JzdSMeFCwQsC6h6b4F0MXQwMrmsH736SjrF0xnYa7xhNrzpvJ/xngGcMUWxzGJ11hMA\ni+oAhoy7M9pW85CEK5dkaBEMjmjt2+y8J3iDHla+CP1znqC2P4b48A0gjoSgJhIBJZCb4KVR7/HR\n6BlJ7XG+mEDc3I/xfcn3dX03dNBodqroyRHp+vMSvSBCBxFH1gq6foKv3gNk/Wf67j5zAGuvAikw\njDGwV7trIAWqiyg9CjmOlnniyg/gOkYTdmnQ4EFiqv1C+vYrWJ3jhLGfZFvnaj9jqxnYBfb2vufc\nwiK0zBYKmUK1xjDA6iKzg3mEBSZaM3SLZ466OyNH315F2zwFgMpej1Iv0zKEeHuI5Vs9kGbjFN4z\n0HOaAJlgsfo2C3WfLW3n6k4uc0OlX/eudDejL8xZPo4PpXk8ffsVDBOU5nHU9psoFbXup9YFWmab\nnzkP/EwZDOOcMHaCN9R+Zm76VHovQie2W3WAsuB/Vyh9rNYUniy4bT1c2ML6sIR6Q+WMo9ExjIyR\nDGXlPQ7qtRBCrTMUshUAqwvUupdCtnijWEb3f99+JYYpjExQ2RsRuhgfilD1HhnvKcBrO6xaBNxv\ncV6DHFY1mhUFjPdGuHO5drt+OiIGPX8cidfQkY6CtB6oyTwgtScdJp5Fw3aKrD02vhOOp1lbQxiI\n2C5HHJ3Xog0xVFVkx1VPPFr+metT03cEUq3zyEjLkxATz+S8PW1vcNXdOwkakVa2X+14EzWI+m2W\nvv0Kqn1E2sz072FTa7PXw/SobE2naDF5GAW3RwcN+WjQYNVYrK8ALN+fu4+JssvWzpVYnfODFbTM\nJIvVDCdNPI6+/b5znfvZnJFJxkrLwB5gYKt1y/wfCgb2Gqwu0CmeTt9eheoCufvVkQlDZW+gNC5T\nol9/kcJsc+/rAGcUBMuCJyCVv8biXemLtIvtlGaRueq7dIsJjEyQDEyF6gIiFuhR26u8oSip7NdR\nXcRSeyI0iCLKklbUAThXexcj477hNs2upfReDm9ote8NeD8SJOf+dx6DWhcRb4CtD0sI4g2zQwh9\niHS9J0CwzMWr5v63sV3hGgktjEx6ArI9Eib3gdqHUkqEbnweHTnqg/dEKD1qr6GAYEqVwgSviPVE\nRFBVCjGRdOQekOiFAIS2I3AS2mO890KjF8NpKgp/z9NMOfgsHBnxYRxPopwnxcYzJve+8cQjkBqy\nYyXPh9D2NtH6c5YE4hHEqYYx7/Xp+TYGYuvFpuqvUtDJEHQq2aXP2hjEukkAq94r0vP3rwtaeVJT\nUkrBwC5gxNAyBd1iigODvSzUH2OyHFsnacriJxLrDw35OIYx078EgEIMIkIhXT+rc7FooXPE0uG6\nxbNZqC5jS3uS7S96I3s/+XbGykmckXGz2ePHtgA14+WPsVh/Ls2ApcN8tY+BralsxdbOT+CWFjrx\niLR1rSAQicpeT6176dV9RK5yngdpIRTUejO1zrjZHQbLHNbOIZQYmfDbvbhPWt5tnzwKYRYKYJlD\naFPIZsZLF2IwMoFVZ6ydhmKTF25q0iMAVucpZAu1TlPpfQgFRjZjZCyKE8PsWBlQ6wzJoDoiVNf7\notmDNC9X1aHtQDTYwQgKEoWYwTMjktJt3e8FZ7yiG7/l+zSWhSiCl+IAC/VeWqZEOIBgGOjXAPWE\nWTyBMj67JBCkQTSKbh9nSFVrRIqsDwUiNYX3FDgyY3zoqB7qTyIK4o1vThps9GQ4A2y8xydcv0DK\nCv93OF7wksgQuWHZlQ7G3mQEJ3hSAulxx1suLoWgP4GWJ33GkxCve5GgT7EITkiMBi+H+PMy9FQs\nzZjR2PfQhxrLAFQozU7XC51jonUCYChkMy5UNWCyVXHn7N2UUiByBffM70YQTtt0EWsV63Xy1ZCP\nYwhBYyE/dQ4cGDB7yR+iQGnG/Ayq741HTcs8mVpv8VkABSKlF5WViBRYnScNuM59b2SCQh6z7Lzz\n1Weo1fL573+LHznxkWz2Oo9CpugU+1m89M/pFD/C/t6n2NL5cQDvsu9idZbF+goq26dtNiPSQakZ\nLzcx3d+PiKFXXwkonWJjkY9ab6ZXf5dCJlzIiR59exUgFLKdibKNka73QCyi9BFtYZhAZBKkoNAt\niIxhdQYXnujhXPUpri8UccYeZsdQ+YyDGYKBMDLlRH86RzBcSs+P8Rpn54EcOFLrPFkuHNKntiFr\nZOANtDOyocaEK5gk/nhhZp7IRdgnud3d0cW9gRHjQy0u7FDIJGGYc275NGNX3wdHSvyRpBOJhxOv\nzlPrLFZ7jJc7AWWh2kW7qP1sesxdu+h5CF6YaYgGMGWXBO/BcGEoQ/KweOqUhU8EgyFLnfVEKfQ9\nzPDJ9lCvuQjX2u3pwh7qSVUIUwQPjHgtSQpz2Ixg1Fkbi7jd6WWKzAtSxSOK93SkTJ3K99Vvp+Pa\nKAWiOcV0WTo5xXTHGr7nCTk5Sdcg/S78HovU2oukyMh230fnlTsw+B6TrYcx03fP6JZOzd7Fec7b\n8SrWNhrBaYMfAP36SyzUe2mbktJso2WeDIDV7+CM+2mH7VyxGuiBAee//CwW6wHjZQeRkGJXUdt9\nANT6uTigCCWDetoTlRKjk1Q6Tb+u6JYTzmWKsFjfSyHfpZRNVHogpsQKQmVrnnvK41Ctma8+w3h5\nIZY5StPGyCQDezVj5SQL1WXUailNSaX74nDSNlvc7NzXJ6jp0fbu6j2Lu5hsjdFZn95HrN6+Yvpg\nrdMYKajsATCVM4pSOC9GzAzwHgdvWFxthQJLCl+IzvmBXHHGwRkfNyhng766+HgwQkbGUS29KLGN\nG6gthWzy7vJFlEWfiQHR6Hhy4DQNPWe8ZIBhwhFc3My0tgOCCkFEsKpek+FaayIRcZ8oTOmJhSEZ\nnKSVEMg8Ch1voEMGRhGP42a5PX/9gpEOBtSg9LxBFa8DceLTyt5HYbZiJJGaQAqCty7UpXDprrXX\nfYRQSE0yFEFrYvw9KFGC5yaRhKTvwLnXNQt3hEyUIaMcSFUgHktraOSGHDSGV4LgFHLSMfyZREry\nkEseggpjQdJ1WGJmTkZs3HPgj6l17FvqU+hfIIr1QWb4SbMS2geBUJXx2Q0EJYTZjLrMmwODb1MY\nw32L0yzUfc457imU5vF8a/r9lGY9GPbG89Egg0sLnKaQrZTmHBbry3FyvYmhNUdE2kyWp1OYs6j1\nFmq91QvUDlDrDC0z6wZRrZ3i3qcMOhQs1nfSLU5BMNQ6Td/up1cPOK77ogdsW0hhde28mlpnnbuZ\ntnf7uhltrX1qrWP8uTRuIFV6lGYrLWPiF1y1R8uMARWVHgCUA4NPA27IAejVPeYGC7SLFpW9xMda\nx3CiwzZGJhAZp/SDcSlhZubPIy1UB+xevJna1pSmZKxo87Dxx6/ocVkvqHQP7Yx8WL2N6f5NtExJ\npzgBUwywOu+NqktTdNkafRSLZR60yoxOXsshuKqDu71NKPiEZKLCEHpQJUxCnau/TdBWkAn6jBRA\nB8MmkDTDDu7uIU1ERhScZkQxjGOKnveiVN6LMGCYVOQwvj3BqISQSpGdAzChT2k2HNI6U/qqM4wu\nE8b6doWa/CEU4cS3JTtAthFDB2oZK6fi344u9P31IRpal32zksFOWSWBYCQjmbwEWY9SX4IxjvqP\nUAck34+h/ktWuyRcx1QQrIjtGEbhnxwnJI3XeKm2IJKDYaGsI1+B4KbwjyNg4MxOeD58myMB8W31\nz7MED514rUlOTuLnszYGjQsFgiXoXdxz4Lwuhk1Uupvvzd7Icd0pKq0pMDxq888P9ePMzT/H2keT\narvhYfV2givWuVSVhWqGydYpLgQhhXNta42RDrX2KKRDrQew9RcxTDhhn5QM7Ne8QQ2Cv0WsvYY8\nRc3IuB+o60wwZxBa1DrNXDVNIQYjQt9+3z2C0qFXD5irFpmo/8m73wPr92KvINjzX1gjm5zRp4iz\nt369SKVBKAaV1pRSgBd3tosWJR03OGQxatU+C3Wfga1QVfq2wmTiOYBu2aFbtFG11Go5MJhGmMGI\nUKv1JKfwfWvFWfhctY9aawa2ZnvnRIxMUJqzj9r9P9xwRHMa1R6l2YHV2wC892kv4+XWOKAaxijM\nFn9/FrH0UOt0B5Z5iEYiZDh4174nIIk8FNHzILT9AB9SNR3JiwZATExVTC7wBYLuwrnJQ/aFy6Rw\n6ZvB7R68CSVBTBi8a6GfQNKhSAthnODJCc9n0GfkqbEiwUuR9AcJeZsgFONymoKKUFvCIXgerCdB\nAhoqhYb+xYAMOVEL53IEMLyuSCGNMv6dnwtv+MOs3+kjQliozEShiTC618lzk+p85OSLaKw1I6DB\n4ObekJT9Eq5faEMeqkhZTfEehOsQnos8Q0eTpyVMEkLqrywjNyEtOITu6njcSFql9HokGE6LDk1c\nSkJyD0yRZUy14nNZ6z5q3UcgZwcGizxi6mLWO6QhHxsPA3tt9DRYnaPWGa93qOjXzrBWutsNdFpQ\nyk4QN8AVshWLK/RTyBQgGHUV+yQb0GLFxGg48tlLnc1Yw5fVDdgTpVDrXDyWSEHfzjNWtmmZgvlq\nAWHBu4iDq9MNFDbzZPTr3Qxs7QWnhlotRoSOlAxsjRGhNAUt0x5yaYf6AGHwdYp7dy5jWgy0oiMt\narVYLJ2iTSGGTuELGklJSUHL9LBq6Vk3cNdqMWoY2AEL1SyFGApjmB/0OGH8eBaruXW3Wm2vvpKW\neRggLFS3IhI8B4LVGlt/N2ZsiBiMBO9GKxpvF+IIhivBuZSBJZ4AZ2QD4QiCv5QZ5EiImxWnYyRX\nvGhw7deZ6zvNvhMx0TiTDzH6ZLhrbDA+GkhBMI6hrdaF/eL5a1QkagAC8QBfMCsPO2TeHUc26mjI\nkgjSGVChQCWEqCr3DPusiEQYnMctaVpMdq6c6CTCkGeKBP1KSmcNXoUUXhkOpeRGI2SB5Ncof6+K\n5CSSRH9/AukQ0jVOGUmJXOYhquThyetySPYDeftc+C5vUta+QALEIAqpZslKs/Jw7fLzJ0+dI4mZ\npsU/f8H7G9sWCFgMOyVi68Jv+Bohri3OqzvlQ7azLFT3cdbW4fVycvzbK17LXzz7jx/w/bWDxvOx\nbtCrv+DFknhD2qaU7VmNgtotykQLxFDIVvr1d2iZk1BqevU07aLNRGsHYV2I5Ob07lptoSiGSUKa\nXZoB1dn8IpQubpMrxtPA7AbVpJZ3JMXSw8j4kIsWlJYBKOgUJW0q8EWKjM+ECDOBOJjToigsrSIM\nvJnQTCvaRXDR+5maJAW51TkUFwrq14v07MCRFSQSGfXFwjpFB6s1tdZM9+fY0tmMYXyIREzEv7Ks\nlaSxI0SaumtY11HrLfTrOzyBMxQygXiXvtVFREq65ekA3ptVEcpop5nnksJMhIyJamhW7N7LDUsW\nY4+EYPjrnVIQIcXAAfrETAhNabRJWxBm8nk1S/HPXpi9pu9ASFgN53dG35OWrB3DhDsQCAs+zdYd\nI9SnKJ340ut+wnOvYf9IPJyWRWNKa7oWblbeQbSM7yWDHEjIAqo29iGIXkMdjqWiV0UxUgzV7DBC\nfJ1qXLRRloajhgWV6d7lHolwfVIYIoiunZbGEzQdfhbCMaK+QwrvsQjX1cR05/B0pAelIGScpKaG\nSqf10DlCWESp/KF8H6P3Iz9+0H2EviYPkvuke77cM+ZJFhJDWXGdGSDPrHJtCSQmTeiwrlaNjTVs\nvE7K1lS2xmovFoULCKL39UE8AhrNx7pArXNYVaxaKu3TNgMO1Pvo25uwarGqjPvQQK2WxfpuCjFY\nvY2WKajV0rcVbdOnVkvLlJTGp/LR8u6+Mpvd5F/kUNI4EIm09vvKMyw3oBhfOCkMoGHNCRcD7/hZ\nrKGglc2s/FElDXDDA0EqyWyyNgX3vBPju/Q+1SVxfCkopOsrFk5SljBOwV1z32Dn+ImAMF/tx4rS\nMi6TojRtSpSWmcdqD2SO+eozsf+FTPpB4OhlrAzstZ5E9ejVPV/MrEXLnLIqDYnV25irbvVEK4gk\njc/yKDxxANTVGRAt/MAeyGBwt+cDfXKz61CxJxcOyEMSAS4TaeBIaRZLD4uIBeKQG2d3PwPhtIT0\nx/BZojgykBpfzCoa+TBbzms7pBLl7vyOdIu2CXqSZBwUG0NA3rMiA9/WpP1IYZye98ZYT9aTYUxu\n52CElqZ2BrJjvEYiGKm8fHlN/k0hO2K4Q4F4KCRPFUJl+3E7OKGsDSQFR1TQBULBPPe9LePEQvz3\nNnwvjXR8jRBiCENknFQ/pJ9dv+HQVyAay0mO4iqHJh3Q8MQpVCRNz4XEe4zXAfnP5sXOopg0eXNF\nWr5YYCDIOREO4ealNWmS9yIurgeE8VNop9CL+J943tzjRuqD1yu58dN5vSw9kILN7TPYvXATWzub\nuHv+I3x/dj97ews8Y+eZWP0ORk5nvaAJu6wTjJcX0rdXUbCJvr0TEcOkaVHZAfOVG2AHtqZfO0W0\n+AI/TvsQhyEW6wGKMrA1hQzibD/oMArpkjwNweAE1+rShaAA1BGXGDu12TtJgDdU2S8eI8ya3YCR\nHsZgoMKsKB/8A1w1wXCm5eKzgDC7rfxMZ8FvbfvBQzl+bAt3zd3FcZ0pxsst1DrPwFZUTGPE+J+S\n8fLC1dwqXzzL1aU4nKEWq7dT616sLvp0yrBdWagW0eK7jJUHJx9uRVLx9QAMFut1LLULc/kQlZst\nV9HQGkLqqTcQ8dkI2hwYNrruvhnGnaGScYJuI/e4iRQUOMGvoileHl3RPnNJxv39c+t7BIKC38sZ\nig4ET0EkLol8uqelJHlgLCm8kYcOA1lZ/ky7mWgrzZoRT5ySIcnMftY+htqVXzfDmBdl156QVclQ\nqiQC4u62N0peCyGDeHR31jzsIZknA3+ulBdSiMHiMnUcMRn+Rmn0njhdkwvADBBCBdBcWuq9AkHX\nEsNMnljF8uZKTI8PBFXSfcw1Mek62vj38NiTZ/zkxDIP1wZPl2aEA/IMnHAfQ+XZQCiS/gWIGTVh\nHHLHsv77Yn3YN3mEQk2YRHTdmFCQZ8Wkiq6C8cRePFESOrgVeCtqnWGxnqZTTDPVnkBRtnd2sr1z\nIn27393bdUQ8HBrPx5qA1e8wsHfhahpUVLaiXXT9F7WiWzwzlqAeM2elDxZQmn8iDPZWXQErqxoH\njTIMZJ5oOAQ6oPGVoixUsyzW/fB1oVu0MQjd0q8XgWQ1EHyceEhUFQzL8CwhaUacmGvpDOWBkA9Y\nyTEejFiYSRfxC5tErqG4EVhdICng2yxFIZNs79b06gG9/h4myi6FGNrFNl+B07WjV38eobOMUNR6\nC736DowPh612cahab6WQR61qX7e/q10RVzBVS+X1LeBWRx1k686shJY5z/9O23r1F4gDvxRUdh/R\nZR9TRKsotg0/naIVFxkLq4cOZ3O4lNqQ1iky7vQF0Vy6e2+ZRygwtHAlp/sobVQXvQGwhHoLQgu3\ncqsrKudEn0HH4J5aCW70sMaJf3c4HTIY9JSFE953RHh4iElGKBgvg1spNRGMnHAk0hNm5z78QVgp\ndTC03dUrUZQFF5YM3yNxxa9SEbKQqRW+s914dptVIS3EkfxClpYcd56TwosnC2of4jQ4w9dy9zpb\nWTYVLgPneWhFT1bukdJYdr5NTIXVcM3ymhrEtiSvRri6iSgYT1iHy4/nny4ZDvUlT0R+50RyEuGF\nwZoKqKV6HqGGSE5Yh+97vqotUbhuKWQsu15J+xInVFJ64hfuhSuWF86VdDNufLU6z0DvoZApZvrf\nZ7zsMF7udGu8LLmM7TUc0n1gCEhDPtYEjJxOp/jBmGu3eA7gjEghSlH4qK3O05GwEmOKmVt1s12L\nM2CRLvjwTWmcMa/UxRhFQGqhFPfFG65bEDIUcrFXsmxpYK+HBppoKIa8HeEYKT67PKyTzy5apLi5\nRuIhFFjv4g3eFl1GchxBCsLCbrGZbqEoi1402mex3oURk4bgoqSQkoG9OtY1ASjk0YyXKy9Wtlhf\n4dfZSAK7JFIbUNsv0i6etuJnK/t1LIteHNsbes95DGCsTDPQQjp0ih9d8VhLMbBfw8gYe3s3U0hB\n6YW8tXUDeOFLfQc9gGqajZamoEXp73/yhuT6nJRmHGZ2YaDP3Nz+nhS6dKEzX0FTQpgOnNjSuduL\nWFuiIma3gDcykMfUw7mGDZc3OEDyFJi4S24Ikucur/WQxKEy9NwmUfZwxk4IoViGXc1ZVdDo6Rlj\nqSdJGPMhxoE/Rpjxl8AgnVPCInM5qU96KOJRvffR6w+M4I1v3xvTFsIYqfS9T6VFQCtiSq24mXkg\nEYYWSoc06w99Cs9G8CgNfD8Fw3gkn+46eW2ZhAynghDiSdejjH8P9zWNK7n2InofgodFMiKklrAq\n77IJVEZI0/HSsxzGp5BVk7xBwUeTe9OKSJITsQ21Wyp/tB6V7kFtFTMGp/t30S3arqCd3h9p2HqH\nuz7rkjVtPPKxWLviWAebNYdll0N1uzRrKjGyOd7Mvp2OxiOsyRDcrWHwF/HDacY+TRTtOcFaoYYQ\njRagZ92XxGTprKXJH6BUhtmhwIU7/MCilZuzZW7WNEMMjlVDSMHUSBoSiUj58Al5NkUY3NLgGrQr\nIX6bz0wKPzQtEuK2VmusOs2HVaX2rwsxOPVHD6tKr/6X+JlEhtoEt62RTSg13eLZS+7hl/z1D6Lb\nB2b/YQ0Sp26ZIGgmVhvKCYu0OX3IwIl9QzhC+9S6l02tCWrrykH364HTukhw8bs0aEVxNTGCzsIN\nsi61MxgNX6MgCxvk89n0OycEfiBfUv8gZSeEZ8HNFPMUznRob3gkiAGFoYwGwozYDL8n4fzD587b\n6v7K4/q5Wz/0eamHT7NPh4JoRXbsgkSug9HL+zacQpyE28UKx0phI3dfWtEYhpVph5+vPKtEsmuA\ny9TJvoegLp04GPYVwqpoz2s6Mh1P9lcS4iYCMFzMC5SF7LzBY5RPOIJAdzCsncAQqpIOF/JKz8dQ\nqu1QaCfvdxaSCSvl5iRTgs4ohP+Wm39HvlsEkplr5FJp+bxd4XkM7Q19t261a+n7ez8FfAeA2cE8\nW9rrLaxyKDSejzWBlVY37dVfoFM8I74OM2TnJg+su8/ALnhBqo2PeD70GxH63ojm5Z4DAtkIKaNR\nDU+KD7eN81pYnF7EpbEWVLaOdS4gkRrrPx/KTjs3vjdWIS9+iKgsrSI43MJ8QEjCxTCTzN3XWd6/\npPhxmnmFPP6sBokXsIlaRHqYwpdJ1jpe08orzY0o4GqChGvWMqX3EizQLoJ3xxmOgb0WI+NYPUDL\nPDkSh1pvxcIhlso2FLKdmBGhPRDjCIw4EhYG81A7xOptWF2k0ntJCn1Hzqw60axLiS0xjIEUmMIZ\nJFdpNRj73MiGYwwPopC7uJ2uxnkhiqyIVMouGK67kBusfEGxMGCHj4fCUllGSWxJnY1fWZvFG7tI\nktOzM6T3yLQVcd84O01i5jCbzt3xqeXt+DymmhQ50UieFPd3n2SkkuAxzdKruGf4HdYZyTUuqS8h\nC2Q8XoOkxRn+fE78cg1XIjlJoB0IfNBEpFBrICEa3wurrYa+pPosoQlJ22BZIA9/hUwoZRFwmXa5\n0Q+EsWf30TbjDHk4pQ2xpPmw1iW1N9PehDowALGvuWh9eI2XdLQWKgPnHfJaLvf9GyYiSayfnzNL\nq9XUr9Te0FalZNxfu3HvDRE2t0+h1r10gZnBd5koZ6h1jkLGaJlTD2sl6aOLRADXGw5JPsRZlH8B\nr0KDD6vq74nI+4B/A0z7XX9JVa8TZyX/GHgBMO+3X3skGn8o9OorCa7sfv0llHoorapTPMOvC+JQ\nmtIpKXzNCYOLVIYCWE44JrSL5Bbu28obTPdFqdSlm/pE87hfkIM67UgRM25UjSMhYrxC3kYPgV9W\nyYlYMRQi3kVvh790QYUveaGnpTqQ8NoZOkM3ifPIXMgrhlXC51MsNs00wnHz2VHyhqDWZTGIC9+E\na1n7FTxLU0QS5/42SAjRRA2CG4StHgDwRdrSwl8rAMrfZAAAF7ZJREFUEY/KXh8HaOeRAav9uEKo\nWkcgD/QXKKVgsrUFEOr6yphh4LwzFUa84WDMz9iEQjZnVyhP3Vx6vdz2RBpyw6LZMZLmINXBcANL\n0hMFo5iH2PKZoPs/mltNHoGgE8qfm2B4h2fMeQEoT5sltD1sz4hTnvKYr7yqwZhlrYuVJoOWadj4\npuuSatokbc5Sz0o4aqhnkqX2Bi+aN1JJ/Bg8gUuzLSqGV3N11zbpSUI7wvUus/1yD08gllXcEohQ\nyLIRmSCIO1PKfyf7relaaB/n0ei675bPagq/XfbOAiGE4gicJ/viQjCi7ey6QttsgozEDVc5TSnG\nQwQ5TMZiuCWFUZIA1oeFJb+umbdVLXZIKE223yB7pvMaKSkjz0lewndGINYSyesmuavnSF4K/Vh6\nrpw+XQqpGS8ncYsIuslDZe9GucvdddlEac5hfWHjej56wLNUdVbcyHuliFzq33u9qn54yf7PB870\nP08B/sz/Piyo7A1xBrK0wmWtN8e0UCde2ho+RYjxDuzVQ58JQr+BnfPrMOBj9lXUboTCW5XWFFJQ\n1S4+bD1RaJsyZnIUEvQdWVodoR6Aid6MUgoMJYVJaZotH3ppGxPrCKRYf5gRLI17L33w7JLf+fbw\nBS/9Fz6FDlLa4bCgbSX3qEaXL4RBYth4ydDezoh1AYuRGiNuUIpre0jyBAlEXYTVfvQg4fdznqIW\nof6IUtOvLqOQDmDo21nylMZCNlHIFl9JcxHLIgcGbtXKXj1gYCtqqRkrF7wupUVt3VoopdnmS2QH\nV/rS6x1IQRDDLZ2BDHs48vs17N5Wkjs+7F+jQwbXDbRL07WXe1GGZ5vO+A0i6ZAY+w+GOnk18kqd\nw30NZDP3zoSwYxCyBiM0LBQM1SydoQzixFzf4UhzzGBAIBQDE+ONjJBc+fk18m3xpCcZt3BN1Hll\nIgnKr1nqs7smi/43S75bK9XdsNn1cxoPgNr2sbiU3E4xQa2hyOCEP1/Li53dcWq7SGkmIkm0zFLr\nvKsIbEpPOlqRXAXRNhoWmhPcCryhv4KrLZSIgTtxkbJ9YrGudB10medq2LMTifMST2+65/6u+Psb\nUsITwv3LtSDZfcqfnTxLSS0qw+Xjk/dw6fcqpBeHyVCRvdfBmEnfxq3+flkMY/76+ZV/Kbh7/ha2\nd3dRyDi1zjNXLTBedGiZzY6wyKY1t5TDhk21VTctnfUvW/5HH/gTvBj4W/+5L4vIFhHZqar3HOw8\ni/UVGMbY17+Xfj1ge3ezi5n7uhoDWzFeuuXUC5lEGPMlzxPCstkJ4QvQyQaUMOAOCy87xWYG9k6/\nraQ0nSyxUAlu3jCoWb/miUKsD1J574ib3btL5EI0isGRDDGObwcBZkjVyy/owNYUxvj6EaEMdVJy\nq3fHO+JUxtm46iIik6SZYvgShgJKVZoxxRS9YeLgFhPzsVJpoT7MEAY714aeP7fXohBmsMFIQyRM\nkpd79j4WXQCU0oQ+WUQtTt+r9OtQpho6RSuWZw/XurIVpXEkpdKalumguIXLusUO1A8sSfDYQjW4\no8fZ6mO+k6280FW41/h2hC3+RVZ2PH93iDhoqLuQC/eCmz4YvCJ7z64wmGaG05myuHcyJskwDhsL\n//kVDYmDjZoBH/P3+6Tk0BUQXft5rZBwvDy0lLaoVqSVXoMHIDxnwaD4Z0RT+MIVq/Ku5KyaaQpx\nJgIwnH6+FMFDGD6XZ1e43+ozj2RITJ5723AhTg33yhPxrPqmSBvDOGApCk+MtHKiVRmPs3WlwtJD\nslRrY7rkIkyhdAvWiavA6sjCGOILtAkdf858hdv8+coMuWbPVFypmFh8LX7vfL9dDZV0XfOQbNDo\n2EjUhj0n7niJrGoUqQfYZfdvOIU6bCdW1nX7V7iid8PC36WfTa8zUqXhmnivXziu1/oVMkWorOtI\n4QEK2crDxk5GqTEySSnHUbb2k2rbFFT2PsSUVHo/i9UeOsUUA+vMY9ts4egjTP7WH1al+RDnw7oG\neCTwblW9SkR+FXibiLwZuAJ4o7on+yTgzuzjd/lt9yw55quBVwOceupOTxxabO24IlVh/YD56j6f\nngqFdLl/cQ99ey+bWuOMlR0K6TCwbkYwX/WicHOq9XC3BHg4X/wrLQXtkIxJ25xBNMS6QNADuNS7\nGpcxMU+IZxqz9Bh2qDriwDqCUpoihhjcsRXxdS8K//kksixoGR+/jJX9yqzNPjQioTcht94tkx5c\nua7PBnx1TLdvH6GDxaXM9uoZWqakbytapvCVGucS0dCBN+TBLewXltMFXBSuXjKAhCsdZig91LuD\njYwTxK/GzwSthlohhResuWvYylaSTDH90n8+Vft0C9NNDXtnNB8Yy0iK8vBFrAFAlp641GuRG/rc\niC/zUBDfC/VO0tbUp2QM8xmhI2Z5WuQyIrECz9fMmATDM0RinI+c5M0Ix0nhBmfks3Tq6K3IyA7L\n/wwDenqVZplDBmFowTHL0ucklSIPhitvq/tMOmZObkIYJoVJdOiZq7N93PsrClnVpcHXWtOSEFIJ\n2qbklRquKutDK5rSqZMOJO3DkhojocCgYSwd25OOlKocqpe2vMHVWAclhDuSvstfz0hslno5c0Oc\nh0Hy7KPYQ1IY1yuAvNc3mG9XWiDcz8qL4R35T4cK9ykP2eTPytKsoaXInst4H4KmzPfTZwYOE+Wc\nOIfzWl8ETuNYG94N4ZhaZ3GLGXao6cdMutnqfibL7RgZZ2DvopCtFHSpdK8v9tam0vsRDOPlyZHA\nKD0Ks+0B+naksYGzXdTFMs4VkS3AP4rI44E3AbtweW7vAd4A/D4r07BlI6iqvsd/jvOe9CgFiVXx\n4ixRYbw8DpE246UzMMePbSeVIndq9GCsJluGQjrMDPZjdRars7haBxWl7CDEh12tC0Pf7qJTPDzO\naGrd62ccIWZsowhMtY+r7LnVFaaS0hvUMPgKVqf9l2OAW7VzHjfodKl0hkLGKGQLIZPE6gwgGJkE\nreMCdYaJzMhZRENJ9kHcls+Uw6xpWcjDz9ZTdoqrwGrkeFQHTLZOwZVj1+xzIavDZ7toL84WQjhE\nZMwTMotIN5vNCyG+nutOlPmYLRTaG5YjD0bJUEIWp00PSm6ECt/XjhOu4b70Lu49vAR4PlsKxi1o\nU9K2MOMOxd1yLUsY4P3MSkOp75QBkTIK8jYundGl2edwxlG+R05Isrj2EHIisvwrpkOfGQ4yLP/s\n8uOnDJSVyM9SEpS/1vhcANFbubSH4XNDR4yfC94SG/U+B3Otuvfdc5aTnGHtRjh2TtyT4TM+XFSI\nu4fBy+dm7TUheywPFTgtQUiBDedbqq3KQz4+8yN2v0jbNV8t1ri1bGIqvfvehglFqLcStEuxDRLC\ncEGgHIhIbvSTQXZjWeG/KW0imcKtMZRPmJJ+zT3n+3r7AOeVnR303REK51Uw4nRw6Q5D27iQ8sBW\ncXsIobb8wpEW9Ros6ydpJZWtqNSJ72trY7kC9f9KKah8jZs8my6sGxUudduU/j6HYnUOQdDvCNQi\nwgH/zO4FoGNKBnY/fbsfAazch0AMvaNhXaYiXk+rbiFNq3csfVSPCkRWMrlrHw8q20VV94vI54EL\nVfV/+s09EXkv8Fv+9V3AKdnHTsYt2HGQ40LLnMzSwXP5oBe+5GPZfsHNbGl5A3Vc5zSGB7zctZ3i\n1h1zChqL4ghGpkhuxLSaZljIyc3ka0qZGGpr2NeRkfQgFGxb8e/0Rdgcj4EYCranPh3E0Dzw0BwE\nWpmuYCgTJvu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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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tVbh3foZWpJ9kelJtgDtmphjyCjx9/FQ8s/cAswk68e0IIdjlz5OkKa045Jzh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\n4CUAAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mean_ndvi = ndvi.mean(axis=0)\n",
"max_ndvi = ndvi.max(axis=0)\n",
"min_ndvi = ndvi.min(axis=0)\n",
"range_ndvi = max_ndvi - min_ndvi\n",
"std_ndvi = ndvi.std(axis=0)\n",
"\n",
"# set up a dictionary\n",
"datasets = {\"mean NDVI 2009\":mean_ndvi,\\\n",
" \"max NDVI 2009\":max_ndvi,\\\n",
" \"min NDVI 2009\":min_ndvi,\\\n",
" \"NDVI range 2009\":range_ndvi,\\\n",
" \"std NDVI 2009\":std_ndvi} \n",
"\n",
"vmax = {\"mean NDVI 2009\":1.0,\\\n",
" \"max NDVI 2009\":1.,\\\n",
" \"min NDVI 2009\":1.,\\\n",
" \"NDVI range 2009\":1.,\\\n",
" \"std NDVI 2009\":0.25} \n",
"\n",
"# plotting loop\n",
"\n",
"for k in datasets.keys():\n",
" # note the order is not maintained\n",
" # from when we set up the dictionary\n",
" plt.figure(figsize=(10,4))\n",
" plt.title(k)\n",
" plt.imshow(datasets[k],interpolation='none',\\\n",
" cmap=plt.get_cmap('YlGn'),vmin=0.0,vmax=vmax[k])\n",
" plt.colorbar()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The mean and max NDVI is pretty much what you would expect (MODIS NDVI, Nov-Dec, 2007 shown here):\n",
"\n",
"![MODIS NDVI, 2007](http://upload.wikimedia.org/wikipedia/commons/thumb/a/a9/Globalndvi_tmo_200711_lrg.jpg/640px-Globalndvi_tmo_200711_lrg.jpg)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"but again we see the large variations in NDVI in the Northern Hemisphere."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3.5 Solar Radiation "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"One common use for albedo data is to calculate the amount of absorbed solar radiation at the surface.\n",
"\n",
"In this section, we will build a model and dataset of downwelling solar radiation.\n",
"\n",
"We can build a *simple* model of solar radiation:\n",
"\n",
"Incoming solar radiation, $A$, ignoring the effect of the atmosphere, clouds, etc is given by\n",
"\n",
"$$\n",
"A = E_{0}\\sin\\theta\n",
"$$\n",
"\n",
"where $E_{0}$ is the solar constant (given as $1360Wm^{-2}$), and $\\theta$ is the [solar elevation angle](http://en.wikipedia.org/wiki/Solar_elevation_angle#Solar_elevation_angle). The solar elevation angle is approximately given by\n",
"$$\n",
"\\sin \\theta = \\cos h \\cos \\delta \\cos \\varphi + \\sin \\delta \\sin \\varphi\n",
"$$\n",
"\n",
"where $h$ is the [hour angle](http://en.wikipedia.org/wiki/Hour_angle#Solar_hour_angle), $\\delta$ is the [solar declination angle](http://en.wikipedia.org/wiki/Position_of_the_Sun#Calculations) and $\\varphi$ is the latitude. The solar declination can be approximated by\n",
"\n",
"$$\n",
"\\delta = - \\arcsin \\left [ 0.39779 \\cos \\left ( 0.98565 \\left (N + 10 \\right ) + 1.914 \\sin \\left ( 0.98565 \\left ( N - 2 \\right ) \\right ) \\right ) \\right ]\n",
"$$\n",
"\n",
"where $N$ is the day of year beginning with N=0 at 00:00:00 UTC on January 1\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We have the latitude associated with the dataset from knowing that latitudes stretch from -90 to +90 degrees at 0.5 degree intervals, and longitudes go from -180 to 180 degrees at 0.5 degree intervals. We can use the `meshgrid` method to create the two 2D arrays from vectors of the dimensions.\n",
"\n",
"We note that one of the big advantages of using arrays is that we can do operations on many grid cells simultaneously just by virtue of using arrays of the right shape(s). In this case, we will apply a series of calculations to all the grid cells in the albedo dataset in just one go. We could do this with loops, but netsting loops in Python for large datasets as is the case here is very inefficient. Numpy arrays allow us to do away with all this."
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:08.049399Z",
"start_time": "2017-10-24T19:15:08.037019Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(360, 720)\n",
"(360, 720)\n"
]
}
],
"source": [
"lon, lat= np.meshgrid(np.arange(-180 + 0.25, 180+0.25, 0.5), \n",
" np.arange(90 - 0.25, -90, -0.5))\n",
"print lat.shape\n",
"print lon.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Quick sanity check plotting: longitude *should* increase from left to right, and latitutde should increase from bottom to top:"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:10.326916Z",
"start_time": "2017-10-24T19:15:09.811910Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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JfAKIfofoc8zR8jpevNO+6dSNJNWxXatuMvOJiLgJeHNmfqo0PxsRXwb+oeyPAYt6XrYQ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\ncga9JM1yBr0kzXL/BytSw7l7EymQAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.imshow(lon, interpolation=\"nearest\")\n",
"plt.figure()\n",
"plt.imshow(lat, interpolation=\"nearest\")"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:12.551149Z",
"start_time": "2017-10-24T19:15:12.131208Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"shape of vis.mask (12, 360, 720)\n",
"(360, 720) (360, 720)\n",
"(360, 720)\n"
]
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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blXM8PO9tz19O4fefml6yNNUm6On+/lPT2fOXUzJJu926d+SonydeBYJ69dpC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\nA4Cl7v61wOFh8eq6AXcCB3RDmYF3AY/hfBTxVWA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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# The boolean mask is stored as vis.mask\n",
"print 'shape of vis.mask',vis.mask.shape\n",
"\n",
"# we want a single time slice so mask[0]\n",
"print vis.mask[0].shape,lat.shape\n",
"\n",
"lat = ma.array(lat,mask=vis.mask[0])\n",
"\n",
"print lat.shape\n",
"\n",
"plt.figure(figsize=(10,4))\n",
"plt.imshow(lat)\n",
"\n",
"plt.title('latitude')\n",
"plt.colorbar()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"for day of year `N` then, we have a formula for solar declination.\n",
"\n",
"Approximating `N` for each month by an average:"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:15.431188Z",
"start_time": "2017-10-24T19:15:15.423714Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 15.21875 45.65625 76.09375 106.53125 136.96875 167.40625\n",
" 197.84375 228.28125 258.71875 289.15625 319.59375 350.03125]\n"
]
}
],
"source": [
"# mean days per month\n",
"av_days = 365.25 / 12.\n",
"half = av_days/2.\n",
"N = np.arange(half,365.25,av_days)\n",
"print N"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### rad2deg, deg2rad, cos, sin, arcsin, arccos, pi"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"we can approximate the solar declination as:"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:17.366438Z",
"start_time": "2017-10-24T19:15:17.104702Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"(0, 365.25)"
]
},
"execution_count": 65,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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+Dma8+231DiYv3swNgzvSIiHO7TjGBEzX5g35S3oKb/6ylguOakNqYj23I4U9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\nAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"t0 = np.deg2rad (0.98565*(N-2))\n",
"t1 = 0.39779*np.cos( np.deg2rad ( 0.98565*(N+10) + 1.914*np.sin ( t0 ) ) )\n",
"delta = -np.arcsin ( t1 )\n",
"\n",
"plt.plot(N,np.rad2deg(delta))\n",
"plt.xlabel('day of year')\n",
"plt.ylabel('solar declination angle (degrees)')\n",
"plt.xlim(0,365.25)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Although we might think the formulae a little complicated, the translation from the formula to numpy code is really very clear and readable. In particular, by having `N` as an array object, we are able to apply the formulae to the array and not have to obfuscate the code with loops.\n",
"\n",
"Note that the formulae above are given in *degrees*, but trignometric functions in most programming languages work in *radians*.\n",
"\n",
"In numpy, we can use the functions `deg2rad` and `rad2deg` to convert between degrees and radians and *vice-versa* (alternatively, multiply by `np.pi/180.` and `180./np.pi` respectively).\n",
"\n",
"The trig functions cosine and sine are `cos` and `sin` respectively, and their inverses `arccos` and `arcsin`.\n",
"\n",
"For our solar energy calculations, we will set the 'hour angle' to zero (this is solar noon), so:"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:20.054809Z",
"start_time": "2017-10-24T19:15:20.051582Z"
}
},
"outputs": [],
"source": [
"h = 0.0"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To estimate the solar elevation angle then, we need to include the latitude. At present, we have an array `lat` for latitude and `N` for day of year:"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:21.291065Z",
"start_time": "2017-10-24T19:15:21.283600Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"lat: (360, 720)\n",
"N: (12,)\n"
]
}
],
"source": [
"print 'lat:',lat.shape\n",
"print 'N:',N.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"what we need is `lat` and `N` in the full 3-D array shape `(12,360,720)`.\n",
"\n",
"There are various ways to do this, but a simple one is to just use `np.mlist` with an extra (time) dimension:"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:23.106767Z",
"start_time": "2017-10-24T19:15:22.994189Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"------ latitude ------\n",
"(12, 360, 720)\n",
"------ longitude ------\n",
"(12, 360, 720)\n"
]
}
],
"source": [
"\n",
"dd = 0.5\n",
"month,lat,lon = np.mgrid[0:12,-90+dd/2:90+dd/2:dd,-180+dd/2:180+dd/2:dd]\n",
"print '------ latitude ------'\n",
"print lat.shape\n",
"print '------ longitude ------'\n",
"print lon.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### def: functions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At this point, we might consider it useful to write a *function*. We have used an *example* of this above, but go into it in more detail now.\n",
"\n",
"These are of the form:\n",
"\n",
" def fn_name(args):\n",
" ...\n",
" return value\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:25.309706Z",
"start_time": "2017-10-24T19:15:25.299690Z"
}
},
"outputs": [],
"source": [
"def declination(N):\n",
" '''Calculate solar declination (in degrees)'''\n",
" t0 = np.deg2rad (0.98565*(N-2))\n",
" t1 = 0.39779*np.cos( np.deg2rad ( 0.98565*(N+10) + 1.914*np.sin ( t0 ) ) )\n",
" delta = -np.arcsin ( t1 )\n",
" return np.rad2deg(delta)\n",
"\n",
"\n",
"def solar_elevation(delta,h,lat):\n",
" '''solar elevation in degrees'''\n",
" lat = np.deg2rad(lat)\n",
" delta = np.deg2rad(delta)\n",
" h = np.deg2rad(h)\n",
" sin_theta = np.cos (h)*np.cos (delta)*np.cos(lat) + np.sin ( delta)*np.sin(lat)\n",
" return np.rad2deg(np.arcsin(sin_theta))\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:27.466914Z",
"start_time": "2017-10-24T19:15:27.395134Z"
}
},
"outputs": [],
"source": [
"# create numpy arrays of the right shape\n",
"# using meshgrid for simplicity\n",
"\n",
"N, lat, lon = np.meshgrid(np.arange(half, 365.25, av_days), \n",
" np.arange(90 - 0.25, -90, -0.5),\n",
" np.arange(-180 + 0.25, 180+0.25, 0.5), indexing=\"ij\")\n",
"\n",
"\n",
"# zeros_like creates array of the same shape as N here (or, lat or lon)\n",
"# filled with zeros. Similarly ones_like\n",
"h2 = np.zeros_like(N) + h"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:30.072746Z",
"start_time": "2017-10-24T19:15:29.281465Z"
}
},
"outputs": [],
"source": [
"# now put these things together\n",
"\n",
"# copy the arrays, so we don't overwrite the data\n",
"\n",
"delta = declination(N)\n",
"e0 = 1360.\n",
"sea = solar_elevation(delta,h2,lat)\n",
"sin_theta = np.sin(np.deg2rad(sea))\n",
"rad = e0*sin_theta\n",
"# threshold at zero\n",
"rad[rad < 0] = 0.0\n",
"\n",
"incoming_rad = rad\n",
"# now mask this with data mask\n",
"rad = ma.array(incoming_rad,mask=data.mask)"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:15:31.805270Z",
"start_time": "2017-10-24T19:15:30.980505Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 72,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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8NlLs443XiQ0YCS93l/iyZq+rom3Sx8+JMl5vw6Tj9b0K8spShBOlnLqMS3OQ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\nPyW+NtMg5oiMMA9N/lPkSczh8UrynsV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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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M3QNBX7B6S6aNTkgd+dblcOThTJFa5Gpj2dtAif818yfA/ar6mKr+DrgS+E/A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\nhmEYjfH/AaSLFavurhfEAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# plot to visualise the data and see it looks reasonable\n",
"\n",
"plt.figure(figsize=(10,4))\n",
"plt.title('Jan')\n",
"plt.imshow(rad[0],interpolation='none',cmap=plt.get_cmap('jet'))\n",
"plt.colorbar()\n",
"\n",
"plt.figure(figsize=(10,4))\n",
"plt.title('Jun')\n",
"plt.imshow(rad[5],interpolation='none',cmap=plt.get_cmap('jet'))\n",
"plt.colorbar()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This sort of application really shows the power of manipulating arrays."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## E3.5 Exercise: Solar Radiation Code: A chance for you to get feedback"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the section above, we have developed some code to estimate solar radiation and we have packaged some of it into functions.\n",
"\n",
"**In a file called `python/solar.py`, develop some Python code that will**\n",
"\n",
"1. Read GlobAlbedo data `DHR_SW` (shortwave directional-hemispherical reflectance) into a masked array `data` \n",
"2. Generate a spatial Solar Radiation dataset `rad` of the same shape as `data`\n",
"3. Calculate the amount of solar radiation *absorbed* at the surface (W m^-2)\n",
"4. Calculate the *latitudinal total* absorbed radiation for each month (W m^-2)\n",
"5. Calculate the *global total* absorbed radiation power for each month (W)\n",
"\n",
"Where appropriate, produce images, graphs and/or movies of your results.\n",
"\n",
"Comment on the patterns of absorbed solar radiation that you see.\n",
"\n",
"All of your code should be commented as well as possible. \n",
"\n",
"It should indicate which parts of the code you have simply taken from the material above and which parts you have developed yourself.\n",
"\n",
"If possible, use an `ipython` notebook to illustrate your code and its operation. As a miniumum, submit your code and examples of its output. \n",
"\n",
"If possible, wrap your codes into functions to group things that belong together together.\n",
"\n",
"You will probably want to save the arrays you generated (`np.savez`) so that you can show your results later.\n",
"\n",
"Hints: \n",
"\n",
"- *All* of the code you need for parts 1. and 2. can be found in the material above ... you just need to put it together\n",
"- Recall that albedo is the proportion of radiation *reflected*.\n",
"- Recall that in a lat/long projection the area represented by each pixel varies as a function of latitude.\n",
"\n",
"We will *not* release model answers for this exercise at present. \n",
"\n",
"Instead, we would like you to complete this exercise over the coming week and submit it by the following Monday morning. If you do this, there will be sessions run in (extended) office hours (11-12 Thursday, 4-5 Thursday, 9-10 Wednesday) when you will bve given feedback on your submission. To get the most out of these feedback sessions, it would be adviseable to request a time slot (You should be getting a doodle poll email to that effect)\n",
"\n",
"We *strongly* recommend that you attempt this exercise on your own. Given the amount of material you are given here, this should be achievable for all of you.\n",
"\n",
"This work does *not* form part of your formal assessment. Instead it is intended to provide you with an opportunity for feedback on how you are getting on in the course at an early stage. So, you are *not* required to do this. If you do not though, we cannot give yuou feedback.\n",
"\n",
"Come along to the feedback session prepared to *explain* how your code operates and how to run it (one reason why a notebook would be useful if you can manage that).\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3.6 Saving and loading numpy data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### savez, load"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"When we have gone to lots of effort (well, lots of processing time) to do some calculation, we probably want to save the result.\n",
"\n",
"In numpy, we can save one or more numpy arrays (and similar data types) with `np.savez()`.\n",
"\n",
"So, e.g. to save the arrays `data` and `rad`:"
]
},
{
"cell_type": "code",
"execution_count": 109,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:07:04.957665Z",
"start_time": "2017-10-24T19:07:04.772097Z"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"# there is a problem saving masked arrays at the moment, \n",
"# so convert and save the mask\n",
"np.savez('data/solar_rad_data.npz',\\\n",
" rad=np.array(rad),data=np.array(data),mask=data.mask)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To load this again use `np.load`, which returns a dictionary:"
]
},
{
"cell_type": "code",
"execution_count": 110,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:07:06.517556Z",
"start_time": "2017-10-24T19:07:06.448344Z"
}
},
"outputs": [],
"source": [
"f = np.load('data/solar_rad_data.npz')\n",
"data = ma.array(f['data'],mask=f['mask'])\n",
"rad = ma.array(f['rad'],mask=f['mask'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### loadtxt, savetxt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As an aside here, we note that numpy also has convenient functions for loading ASCII text (which is much simplerto use than the methods we learned last session, but you need to know how to do it from scratch if the data format is very awkward).\n",
"\n",
"That said, we can deal with some awkward issues in a dataset:"
]
},
{
"cell_type": "code",
"execution_count": 111,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:07:09.425034Z",
"start_time": "2017-10-24T19:07:09.263030Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Heathrow (London Airport)\r\n",
"Location 5078E 1767N 25m amsl\r\n",
"Estimated data is marked with a * after the value.\r\n",
"Missing data (more than 2 days missing in month) is marked by ---.\r\n",
"Sunshine data taken from an automatic Kipp & Zonen sensor marked with a #, otherwise sunshine data taken from a Campbell Stokes recorder.\r\n",
" yyyy mm tmax tmin af rain sun\r\n",
" degC degC days mm hours\r\n",
" 1948 1 8.9 3.3 --- 85.0 ---\r\n",
" 1948 2 7.9 2.2 --- 26.0 ---\r\n",
" 1948 3 14.2 3.8 --- 14.0 ---\r\n",
" 1948 4 15.4 5.1 --- 35.0 ---\r\n",
" 1948 5 18.1 6.9 --- 57.0 ---\r\n",
" 1948 6 19.1 10.3 --- 67.0 ---\r\n",
" 1948 7 21.7 12.0 --- 21.0 ---\r\n",
" 1948 8 20.8 11.7 --- 67.0 ---\r\n"
]
}
],
"source": [
"!head -15 < data/heathrowdata.txt"
]
},
{
"cell_type": "code",
"execution_count": 112,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:07:11.900839Z",
"start_time": "2017-10-24T19:07:11.364997Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(3, 785)\n"
]
},
{
"data": {
"text/plain": [
"(1970, 1990)"
]
},
"execution_count": 112,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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u0FkkJpI1zBhE/LMtx5rIyDi3M8T5nerGXkRPKUAAWT8kEx0+T18tK25jwqlD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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# read sun hours from the heathrow data file\n",
"\n",
"filename = 'data/heathrowdata.txt'\n",
"\n",
"# In this dataset, we need to know what\n",
"# to do when we get '---' in the dataset\n",
"# so we set up a \n",
"# translation dictionary\n",
"def awkward(x):\n",
" if x == '---':\n",
" return np.nan\n",
" return x\n",
"\n",
"trans = {6: awkward}\n",
"\n",
"# skip the first 7 rows\n",
"# use the awkward translation for column 6\n",
"# unpack gets the shape the right way around\n",
"sun_hrs = np.loadtxt(filename,skiprows=7,usecols=[0,1,6],converters=trans,unpack=True)\n",
"\n",
"print sun_hrs.shape\n",
"# plot decimal year and sun hours\n",
"plt.plot(sun_hrs[0]+sun_hrs[1]/12.,sun_hrs[2])\n",
"# zoom in to 1970 to 1990\n",
"plt.xlim(1970,1990)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can save this to a text file with:"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:07:14.214711Z",
"start_time": "2017-10-24T19:07:14.208191Z"
}
},
"outputs": [],
"source": [
"header = 'year month sun_hours'\n",
"# note, we transpose it if we want the data as columns\n",
"np.savetxt('data/sunshine.txt',sun_hrs.T,header=header)"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"# year month sun_hours\r\n",
"1.948000000000000000e+03 1.000000000000000000e+00 nan\r\n",
"1.948000000000000000e+03 2.000000000000000000e+00 nan\r\n",
"1.948000000000000000e+03 3.000000000000000000e+00 nan\r\n",
"1.948000000000000000e+03 4.000000000000000000e+00 nan\r\n",
"1.948000000000000000e+03 5.000000000000000000e+00 nan\r\n",
"1.948000000000000000e+03 6.000000000000000000e+00 nan\r\n",
"1.948000000000000000e+03 7.000000000000000000e+00 nan\r\n",
"1.948000000000000000e+03 8.000000000000000000e+00 nan\r\n",
"1.948000000000000000e+03 9.000000000000000000e+00 nan\r\n"
]
}
],
"source": [
"!head -10 < data/sunshine.txt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## E3.6 Exercise: awkward reading"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The file `data/elevation.dat` look like:"
]
},
{
"cell_type": "code",
"execution_count": 114,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:07:18.649966Z",
"start_time": "2017-10-24T19:07:18.336376Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2013/10/8 00:00:00 -44.2719952943\r\n",
"2013/10/8 00:30:00 -43.5276412785\r\n",
"2013/10/8 00:59:59 -41.9842746582\r\n",
"2013/10/8 01:30:00 -39.7226999863\r\n",
"2013/10/8 02:00:00 -36.8452198361\r\n",
"2013/10/8 02:30:00 -33.459799008\r\n",
"2013/10/8 03:00:00 -29.6691191507\r\n",
"2013/10/8 03:30:00 -25.5652187709\r\n",
"2013/10/8 03:59:59 -21.2281801291\r\n",
"2013/10/8 04:30:00 -16.7272357302\r\n"
]
}
],
"source": [
"!head -10 < data/elevation.dat"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Write some code to read these data in using np.loadtxt**\n",
"\n",
"Hint: You will need to write a function that decodes column 0 and 1, for example:\n"
]
},
{
"cell_type": "code",
"execution_count": 115,
"metadata": {
"ExecuteTime": {
"end_time": "2017-10-24T19:07:20.326768Z",
"start_time": "2017-10-24T19:07:20.320788Z"
}
},
"outputs": [],
"source": [
"def col0(x):\n",
" # interpret column 1 as a sort of\n",
" # decimal year\n",
" # NB this is very rough ...\n",
" # not all months have 30 days ...\n",
" y,m,d = x.split('/')\n",
" dec_year = y + (m-1)/12. + (d-1)/30.\n",
" return dec_year\n",
"\n",
"# translation ... just for column 1 here\n",
"# you'd need to define your own for column 2\n",
"trans = {0 : col0}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Advanced and Answers"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If you feel comfortable with the contents of this session, or simply would like something a little more challenging, examine the notes in the [advanced](advanced.ipynb) section.\n",
"\n",
"Answers for the [exercises](answers.ipynb) in this session are available, as are the [answers for the advanced section](advanced_answers.ipynb)."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.13"
},
"latex_envs": {
"LaTeX_envs_menu_present": true,
"autocomplete": true,
"bibliofile": "biblio.bib",
"cite_by": "apalike",
"current_citInitial": 1,
"eqLabelWithNumbers": true,
"eqNumInitial": 1,
"hotkeys": {
"equation": "Ctrl-E",
"itemize": "Ctrl-I"
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"toc": {
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": true,
"toc_cell": true,
"toc_position": {},
"toc_section_display": "block",
"toc_window_display": false
}
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"nbformat": 4,
"nbformat_minor": 1
}