\n",
"\n",
"In general, converting photographic images to vector images in order to answer biological questions requires at least three steps: \n",
"\n",
"1. [Making maps](#digitize): process the image into a schematic of the image that recognizes and retains the parts of the photo that are informational.\n",
"\n",
"2. [Measuring raw data from from this map](#zones): calling zones, counting spots, etc.\n",
"\n",
"3. Statistical analyses on these data\n",
"\n",
"All three of these steps require a lot of decision-making and coding. What follows is a review of the path we've taken to get to statistical analysis for our images. \n",
"\n",
"If the progamming code is confusing to read at any point, skip it. Read the human-language stuff. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"\n",
"Due to the history of the project, the first bit of code below is for matlab/octave. After that, we'll use mostly BASH and python(>3.6). The custom modules used here, contained in the makeFlowerPolygons package, are written for unix-like environments, so windows won't work at this point, but MacOS and linux systems should be compatible.\n",
"\n",
"To start, clone the github repo at . If you don't already have git on your computer, I would recommend it for this project.\n",
"\n",
"`git clone https://github.com/danchurch/mimulusSpeckling.git`\n",
"\n",
"I will try to remember to make all paths used below relative to the main directory of the is repo, which is called \"mimulusSpeckling\".\n",
"\n",
"After this install the custom modules we use to phenotype our flowers, in the package \"makeFlowerPolygons\". It is available in pypi, install it using pip, something like:\n",
"\n",
"`pip3 install makeFlowerPolygons-dcthom`\n",
"\n",
"You may want superuser privileges for that:\n",
"\n",
"`sudo pip3 install makeFlowerPolygons-dcthom`\n",
"\n",
"You may find that you are missing some dependencies for the modules, you'll have to install them as they come up. Apologies, in the future if I have time I'll define the requirements in the setup files."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You may find it useful to make a shortcut to your repo directory. I put this in my `~/.bashrc` (linux) or `~/.bash_profile` for mac OS."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"alias speck=\"cd /home/daniel/Documents/cooley_lab/mimulusSpeckling\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"\n",
"We do a lot of this work in python. Here is what you need when in the python environment:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import os, pickle, sys, pathlib\n",
"## have to do makeFlower import before our matplotlib import, \n",
"## because makeFlowerPolygons sets the proper backend for matplotlib:\n",
"from makeFlowerPolygons import flowerPetal, geojsonIO\n",
"## but if we want to use tkagg inside the notebook, we have to do this?:\n",
"%matplotlib notebook\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import shapely.geometry as sg\n",
"import shapely.affinity as sa\n",
"import matplotlib.image as mpimg\n",
"from skimage import measure\n",
"from descartes import PolygonPatch\n",
"from scipy.spatial import distance"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Make sure that you're in the home directory of the repo. This will vary depending on where you put it, of course, but mine looks like this:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"os.chdir(\"/home/daniel/Documents/cooley_lab/mimulusSpeckling\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"\n",
"Flower photos were broken into their various petals of interest, and color differences were categorized, by forcing all pixels into three color poles using kmeans clustering. Doug coded this pipeline, and Melia implemented it, also doing manual corrections where needed. A \"bottom\" petal, for instance looks like this, after Doug's pipeline (converted to grayscale):"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"## stay in python for a sec, before we go to matlab/octave\n",
"exFlowerImage=\"dougRaster/Rotated_and_Cropped/plate1/P431F1.JPG\"\n",
"\n",
"plt.rcParams['figure.figsize'] = [15, 5]\n",
"\n",
"img=mpimg.imread(exFlowerImage)\n",
"plt.imshow(img)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In matlab or octave, we can see how Doug's pipeline sees these petals:"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"octave --no-gui"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"load(\"dougRaster/Rotated_and_Cropped/plate1/P431F1.mat\")\n",
"pkg load image\n",
"aa = mat2gray(Petals.Clusters.right);\n",
"imshow(aa) %% that works."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We want to make polygons of spots and their petals. We can begin by \"peeling\" these two apart into separate, solid-black images:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"bb = aa < 1;\n",
"imshow(bb);\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"cc = aa == 0;\n",
"imshow(cc);"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can generalize the above process, to get all of the available photos from Doug's efforts into a form ready to digitized. All of our image processing was originally done in chunks, named by the plates in which flower DNA was placed and thus data was outputted from the sequencers. This is code for plate 4 for instance: "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"wd='/home/daniel/Documents/cooley_lab/mimulusSpeckling/make_polygons/polygons/plate4'\n",
"\n",
"dougRasterDir='/home/daniel/Documents/cooley_lab/mimulusSpeckling/dougRaster/Rotated_and_Cropped/plate4'\n",
"\n",
"cd(dougRasterDir)\n",
"\n",
"files = dir('P*.mat');\n",
"\n",
"for file = files';\n",
" im = file.name;\n",
" imName = regexprep(im,'\\.mat', ''); \n",
" %% go get our file, come back\n",
" cd(dougRasterDir);\n",
" rast=load(im);\n",
" cd(wd);\n",
" %% make a spot for our image, go to it:\n",
" mkdir(imName);\n",
" cd (imName);\n",
" %% get our petal names (left, right mid)\n",
" petNames = fieldnames(rast.Petals.Clusters);\n",
" %% split images into petal and spot, export, for each of the three petals:\n",
" for i = 1:length(petNames);\n",
" pet = rast.Petals.(petNames{i}).data; %petal at hand\n",
" mkdir(petNames{i});\n",
" cd(petNames{i});\n",
" %% for octave\n",
" fileNamePetal = [imName \"_\" char(petNames(i)) \"_\" 'melted.csv'];\n",
" %% for matlab, this may work better?\n",
" %%fileNamePetal = imName + \"_\" + petNames(i) + \"_\" + 'melted.csv';\n",
" csvwrite(fileNamePetal,pet);\n",
" cd ..;\n",
" end;\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"(This is brittle code, if the file architectures or Doug's matlab structures changes, it will break. But for the moment it works. And it gets us out of matlab real quick-like.)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It is important to note what is going on here, because this may be one of the more universal entry points in to the pipeline. At this step, we are going into the matlab objects that are created by Doug's color simplification process. These are stored as matlab-type \".mat\" files, in the following directory of our repo, in doug's folder, by plate. The jpg images in this folder are also stored here:"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[0m\u001b[01;34mplate1\u001b[0m \u001b[01;34mplate2\u001b[0m \u001b[01;34mplate3\u001b[0m \u001b[01;34mplate3Additional\u001b[0m \u001b[01;34mplate4\u001b[0m \u001b[01;34mplate4Additional\u001b[0m\n"
]
}
],
"source": [
"ls dougRaster/Rotated_and_Cropped"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"P773F1.JPG P788F2.JPG P814F3.JPG P828F1.JPG P842F1.JPG P861F1.JPG\n",
"P773F1.mat P788F2.mat P814F3.mat P828F1.mat P842F1.mat P861F1.mat\n",
"P773F2.JPG P789F1.JPG P815F2.JPG P828F2.JPG P842F2.JPG P862F1.JPG\n",
"P773F2.mat P789F1.mat P815F2.mat P828F2.mat P842F2.mat P862F2.JPG\n",
"P774F2.JPG P789F2.JPG P815F3.JPG P829F1.JPG P843F1.JPG P863F1.JPG\n",
"P774F2.mat P789F2.mat P815F3.mat P829F1.mat P843F1.mat P863F1.mat\n",
"P774F3.JPG P791F1.JPG P816F1.JPG P829F2.JPG P843F2.JPG P863F2.JPG\n",
"P774F3.mat P791F1.mat P816F1.mat P829F2.mat P843F2.mat P863F2.mat\n",
"P775F2.JPG P791F2.JPG P816F2.JPG P830F1.JPG P844F1.JPG P864F1.JPG\n",
"P775F2.mat P791F2.mat P816F2.mat P830F1.mat P844F1.mat P864F2.JPG\n",
"P775F3.JPG P792F4.JPG P817F1.JPG P830F2.JPG P844F2.JPG P865F1.JPG\n",
"P775F3.mat P792F4.mat P817F1.mat P830F2.mat P844F2.mat P865F1.mat\n",
"P776F1.JPG P793F1.JPG P817F2.JPG P831F1.JPG P845F1.JPG P865F2.JPG\n",
"P776F1.mat P793F1.mat P817F2.mat P831F1.mat P845F1.mat P865F2.mat\n",
"P776F2.JPG P793F2.JPG P818F1.JPG P831F2.JPG P845F2.JPG P866F1.JPG\n",
"P776F2.mat P793F2.mat P818F1.mat P831F2.mat P845F2.mat P866F1.mat\n",
"P777F3.JPG P804F1.JPG P818F2.JPG P832F1.JPG P846F1.JPG P866F2.JPG\n",
"P777F3.mat P804F1.mat P818F2.mat P832F1.mat P846F1.mat P866F2.mat\n",
"P777F4.JPG P804F2.JPG P819F1.JPG P832F2.JPG P846F2.JPG P867F1.JPG\n",
"P777F4.mat P804F2.mat P819F1.mat P832F2.mat P846F2.mat P867F1.mat\n",
"P778F1.JPG P805F1.JPG P819F2.JPG P833F1.JPG P847F1.JPG P867F2.JPG\n",
"P778F1.mat P805F1.mat P819F2.mat P833F1.mat P847F1.mat P867F2.mat\n",
"P778F2.JPG P805F3.JPG P820F1.JPG P833F2.JPG P847F2.JPG P868F1.JPG\n",
"P778F2.mat P805F3.mat P820F1.mat P833F2.mat P847F2.mat P868F1.mat\n",
"P779F2.JPG P806F1.JPG P820F2.JPG P834F1.JPG P848F1.JPG P868F2.JPG\n",
"P779F2.mat P806F1.mat P820F2.mat P834F1.mat P848F1.mat P868F2.mat\n",
"P779F3.JPG P806F2.JPG P821F1.JPG P834F2.JPG P848F2.JPG P869F1.JPG\n",
"P779F3.mat P806F2.mat P821F1.mat P834F2.mat P848F2.mat P869F1.mat\n",
"P782F1.JPG P807F1.JPG P821F2.JPG P835F1.JPG P849F1.JPG P869F2.JPG\n",
"P782F1.mat P807F1.mat P821F2.mat P835F1.mat P849F1.mat P869F2.mat\n",
"P782F2.JPG P807F2.JPG P822F1.JPG P835F2.JPG P849F2.JPG P870F1.JPG\n",
"P782F2.mat P807F2.mat P822F1.mat P835F2.mat P849F2.mat P870F1.mat\n",
"P783F1.JPG P808F1.JPG P822F2.JPG P836F1.JPG P850F1.JPG P870F2.JPG\n",
"P783F1.mat P808F1.mat P822F2.mat P836F1.mat P850F1.mat P870F2.mat\n",
"P783F2.JPG P808F2.JPG P823F1.JPG P836F2.JPG P850F2.JPG P871F1.JPG\n",
"P783F2.mat P808F2.mat P823F1.mat P836F2.mat P850F2.mat P871F1.mat\n",
"P784F1.JPG P810F1.JPG P823F2.JPG P837F1.JPG P852F1.JPG P871F2.JPG\n",
"P784F1.mat P810F1.mat P823F2.mat P837F1.mat P852F1.mat P871F2.mat\n",
"P784F2.JPG P810F2.JPG P824F1.JPG P837F2.JPG P852F2.JPG P872F1.JPG\n",
"P784F2.mat P810F2.mat P824F1.mat P837F2.mat P852F2.mat P872F2.JPG\n",
"P785F1.JPG P811F1.JPG P824F2.JPG P838F1.JPG P853F1.JPG P873F1.JPG\n",
"P785F1.mat P811F1.mat P824F2.mat P838F1.mat P853F1.mat P873F1.mat\n",
"P785F2.JPG P811F2.JPG P825F1.JPG P838F2.JPG P855F1.JPG P873F2.JPG\n",
"P785F2.mat P811F2.mat P825F1.mat P838F2.mat P855F2.JPG P873F2.mat\n",
"P786F1.JPG P812F1.JPG P825F2.JPG P839F1.JPG P856F1.JPG P875F1.JPG\n",
"P786F1.mat P812F1.mat P825F2.mat P839F1.mat P857F1.JPG P875F1.mat\n",
"P786F2.JPG P812F2.JPG P826F1.JPG P839F2.JPG P859F1.JPG P875F2.JPG\n",
"P786F2.mat P812F2.mat P826F1.mat P839F2.mat P859F1.mat P875F2.mat\n",
"P787F2.JPG P813F1.JPG P826F2.JPG P840F1.JPG P859F2.JPG P876F2.JPG\n",
"P787F2.mat P813F1.mat P826F2.mat P840F1.mat P859F2.mat P876F3.JPG\n",
"P787F3.JPG P813F2.JPG P827F1.JPG P841F1.JPG P860F1.JPG P877F1.JPG\n",
"P787F3.mat P813F2.mat P827F1.mat P841F1.mat P860F1.mat P877F1.mat\n",
"P788F1.JPG P814F2.JPG P827F2.JPG P841F2.JPG P860F2.JPG P877F2.JPG\n",
"P788F1.mat P814F2.mat P827F2.mat P841F2.mat P860F2.mat P877F2.mat\n"
]
}
],
"source": [
"ls dougRaster/Rotated_and_Cropped/plate3"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the matlab/octave script above we grab a particular component of these matlab object files, a matrix that contains the pixel color and location info, and export it as a csv. Each petal is labeled by Doug by the order they appear on the photos: \"left\", \"mid\", and \"right\". These names have nothing to do with the position of the petals on the flowers.\n",
"\n",
"The script above then makes a directory for each flower, then subdirectories for each petal, where the CSV files are placed. Later, we will also store our geojson files here, see [below](#geoJFree). The file names for these new CSVs are:\n",
"\n",
"`[Plant-number] + [Flower-number] + \"_\" + [left/mid/right] + \"_melted.csv\"`\n",
"\n",
"For instance: `P773F1_left_melted.csv`\n",
"\n",
"Each of these matrix-turned-CSVs have four columns, and a row for each pixel. There is no header for these files, so here is an explanation:\n",
"\n",
"
\n",
"
The first and second columns are X and Y coordinates.
\n",
"
The third column cells should all contain the same value, either all 1, 2, or 3. 1 is a 'left' petal, 2 is a 'mid' petal, and 3 is a 'right' petal.
\n",
"
The fourth column contains the color information. Doug's formatting only retains non-background (non-white-tape) pixels. 2 indicates petal color, 3 is spot color. Thus this column should contain only 2's and 3's.
\n",
"
\n",
"\n",
"Looking at a few lines of one of these files:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"120,631,1,2\n",
"120,632,1,2\n",
"120,633,1,2\n",
"120,634,1,2\n",
"120,635,1,2\n",
"120,636,1,2\n",
"120,637,1,3\n",
"120,638,1,3\n",
"120,639,1,3\n",
"120,640,1,3\n",
"120,641,1,3\n"
]
}
],
"source": [
"sed -n '4310,4320'p make_polygons/polygons/plate3/P773F1/left/P773F1_left_melted.csv"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is showing pixels with an X of 120, a y-positions from 631 to 641. In the third column, we can see this is a 1='left' petal, and in the fourth column we see some pixels are petal ('2') and some are spots ('3'). "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
Some notes for future development
\n",
"\n",
"These pixel position data get inverted often because coordinate systems vary in their origins when dealing with pixels and rasters. Raster/graphical coordinate systems often have the origin in the upperleft corner and increase in number as they go down the screen, we'll see that this flips the images when we go from viewing our petals as a raster to viewing their polygons in pyplot. I tried not to worry about these inversions too much, and did not mess with the original x, y positions at each step, just to try to retain the integrity of the data as much as possible. This means, however, that we end up looking at and working with upsidedown images quite often.\n",
"\n",
"Perhaps more important here is that if this place is to be used as a starting point for image inputs to our pipeline, we may want to simplify here for others' ease of use. This pipeline is written specifically to deal with the quirks of the outputs from Doug's matlab scripts (2 and 3 for colors, no 1's, an unnecessary third column, etc etc.). If other labs were to use this, they would probably find these requirements annoying, "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"\n",
"Now we create map-like features out of our images, a process in GIS known as digitizing. We'll be using our custom python package for this project, `flowerPetal`, which can be found at https://pypi.org/project/makeFlowerPolygons-dcthom/. The github repo for this package is currently here . `flowerPetal` is built mostly using tools from [scikit-image](https://scikit-image.org/), and [shapely](toblerity.org/shapely/manual.html). These are among the standard packages for manipulating images and polygons in python. We'll also import the other packages as necessary for this analysis. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"\n",
"Later in our analysis, we're going to focus on spotting in only certain regions of the petal, and make comparisons among these regions. We'll call these zones. We define three zones of interest - center, margin and petal. The tools for trying to do this in an automated fashion are in another module, \"[get_zones.py](https://github.com/danchurch/mimulusSpeckling/blob/master/make_polygons/package/makeFlowerPolygons/get_zones.py)\". As with our other modules, it is both a set of functions that are tools to handle zone calling, and a script that can be run from the terminal.\n",
"\n",
"We define the proportion ('percent') of petal we would like to remain as \"center\", and the rest is given to the margin and throat. \n",
"\n",
"To check out the `get_zones` module, we go back in BASH kernel..."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"get_zones='./make_polygons/package/makeFlowerPolygons/get_zones.py'"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"usage: get_zones.py [-h] [-o OUT] geojson centerSize\n",
"\n",
"positional arguments:\n",
" geojson Name of the geojson file to which you want to assign\n",
" zones.\n",
" centerSize give the proportion of the middle of the flower you would\n",
" like to call Center Zone, from 0.01 to 0.99.\n",
"\n",
"optional arguments:\n",
" -h, --help show this help message and exit\n",
" -o OUT, --out OUT Name for outfile. If none given, modified in place.\n"
]
}
],
"source": [
"$get_zones -h"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There is a lot going on in that script, and it usually fails in some way or another. In brief:\n",
"\n",
"\n",
"\n",
"
\n",
"A margin is created by start with a polygon the same size and shape as the petal, that is iteratively shrunk in small until it is approximately the size given by the user in the \"centerSize\" argument. For our research purposes, we set the centerSize to 50% for all calculations. This becomes our center zone, and this call usually suceeds quite well. \n",
"
\n",
"\n",
"
\n",
"Following this, separation of margin into edge and throat zones are attempted. The script simplifies the lines of the petal and center polygons. This results in fewer and \"harder\" vertices, and we pick the top two of these vertices in our petal outline and in our margin. These four points delineate the four corners of the throat, and the upper portion of the margin polygon is clipped using this rectangle (with some buffering to allow for the shape of the petal). This portion of the margin is called as the throat zone. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This second step sometimes works but fails more often for finding the throat/edge. So downstream we have built in a manual correction/sanity check into this pipeline. \n",
"\n",
"Anyway, let's try it on the files in our toy directory, using a center zone of 50% area:"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"./make_polygons/toy/newSpots/P431F1_right_polys.geojson\n",
"./make_polygons/toy/newSpots/P773F1_left_polys.geojson\n",
"./make_polygons/toy/newSpots/P773F1_mid_polys.geojson\n",
"./make_polygons/toy/newSpots/P773F1_right_polys.geojson\n",
"./make_polygons/toy/newSpots/P773F2_left_polys.geojson\n",
"./make_polygons/toy/newSpots/P773F2_mid_polys.geojson\n",
"./make_polygons/toy/newSpots/P773F2_right_polys.geojson\n",
"./make_polygons/toy/newSpots/P774F2_left_polys.geojson\n",
"./make_polygons/toy/newSpots/P774F2_mid_polys.geojson\n",
"./make_polygons/toy/newSpots/P774F2_right_polys.geojson\n",
"./make_polygons/toy/newSpots/P774F3_left_polys.geojson\n",
"./make_polygons/toy/newSpots/P774F3_mid_polys.geojson\n",
"./make_polygons/toy/newSpots/P774F3_right_polys.geojson\n"
]
}
],
"source": [
"for inF in ./make_polygons/toy/newSpots/*; do\n",
" echo $inF\n",
" $get_zones $inF 0.5\n",
"done\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can view these with a plotter that is in our geojsonIO model, in the python kernel:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"(petal,spots,\n",
"center, edge,throat,\n",
" _,_,_) = geojsonIO.parseGeoJson(\"make_polygons/toy/newSpots/P431F1_right_polys.geojson\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
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"\n",
"\n",
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" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
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" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
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" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('');\n",
" this._root_extra_style(this.root)\n",
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" $(parent_element).append(this.root);\n",
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"\n",
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"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
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"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
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"\n",
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"\n",
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" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
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" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
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"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
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" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
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"\n",
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"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
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" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
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" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
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"\n",
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"\n",
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" canvas_div.focus();\n",
" }\n",
"\n",
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"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('');\n",
"\n",
" var fmt_picker = $('');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
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" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('');\n",
" var button = $('');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"([], None)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"color='white'\n",
"alpha=0.3\n",
"geojsonIO.plotOne(petal)\n",
"geojsonIO.addOne(spots)\n",
"geojsonIO.addOne(center, col=color, a=alpha)\n",
"geojsonIO.addOne(edge, col=color, a=alpha)\n",
"geojsonIO.addOne(throat, col=color, a=alpha)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"That worked okay. But it often does not work as we'd hope:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '');\n",
" var titletext = $(\n",
" '');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('');\n",
"\n",
" var fmt_picker = $('');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('');\n",
" var button = $('');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"([], None)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(petal,spots,\n",
"center, edge,throat,\n",
" _,_,_) = geojsonIO.parseGeoJson(\"make_polygons/toy/\"\n",
" \"newSpots/P774F3_mid_polys.geojson\")\n",
"color='white'\n",
"alpha=0.3\n",
"geojsonIO.plotOne(petal)\n",
"geojsonIO.addOne(spots)\n",
"geojsonIO.addOne(center, col=color, a=alpha)\n",
"geojsonIO.addOne(edge, col=color, a=alpha)\n",
"geojsonIO.addOne(throat, col=color, a=alpha)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '');\n",
" var titletext = $(\n",
" '');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('');\n",
"\n",
" var fmt_picker = $('');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('');\n",
" var button = $('');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"([], None)"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(petal,spots,\n",
"center, edge,throat,\n",
" _,_,_) = geojsonIO.parseGeoJson(\"make_polygons/toy/\"\n",
" \"/newSpots/P774F2_left_polys.geojson\")\n",
"color='white'\n",
"alpha=0.3\n",
"geojsonIO.plotOne(petal)\n",
"geojsonIO.addOne(spots)\n",
"geojsonIO.addOne(center, col=color, a=alpha)\n",
"geojsonIO.addOne(edge, col=color, a=alpha)\n",
"geojsonIO.addOne(throat, col=color, a=alpha)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In general the throat zones are again a major problem. We will use manual correction to fix this, below, but this is definitely an area that needs more work. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"\n",
"The result of this pipeline are [geojson](http://geojson.org/) files. They should be viewable and editable in many types of outside software, such as GIS software like ARCGIS or QGIS: "
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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SSiZ/PAWA/+vXlzVrN9br3NifQ6JyCAlyt2ytSGtPcx2WzckjzSsICw07YZb8mAcdWkFya3JcsDWtFeBjxeKdZHgFQXTiUtNJsAGBbZT7/Uiqx93RhUQU/ozFaWQNvIJxAy9m1+p53PPUByQleGP9LitFSIp3ETLd+MokvRxgbZrJx6tDaIneqm2240cLreKNSWsZd804jrzMwubUMNZ+zDMzd2ElVmdaAyGDdrGUXGrHrkSvBdAFffWPvLuknJKQIBAKRbfVbsOpeVnwR4QBPey4tRT69E4BI59lpS34v+Z2tmcdQTpA8QpWlUF1AaXE9PQACvl83IO8tzaEt/tlPHH70WRYJmVV84W58pox9L5uHLf1cZPbvzNy4ZIDez0VRVEURVEURfmvtHu7bH/T67tOIQQ+XzlCgNcbj2EYbNyYx/nnncN33//A++9PYvTo22H3LmiNiNupUwfGjr6N5StW0qVzdfXQqtWreeHFidx8w7/o0b1Lo2Ps3uh2Oh18+90szjvnTIqKipm/IFoNdFTvXkgky5Ytx+mw11oewOutblNKBNlpNkLbCogIE9OKTk1JS6e8tHqfhC2JiEslngrWlxloaGiygl0+8KbH4YhLpSg2XUir6jFRPJc3ph3J6LueZggw9vYXueDBtuR/9izGyTfxxICWTHt4LBt8foIOG1hlJDbPwDC2gyXr1RHwiCPq7s4nLcmmvHwAsrOz+e23BQAkJSYiLUlZaTlOh6PRx5iUgmJfBa7u5/PTO5MxnRDv2MVrt16HOykbbR/7KxKB8xLm8PCk9Zha9ThSMvaco681gIaQJtuLQiRmt+GUv5/Hom/ux9R04pLc4C9kYeoQhv/fNB75sRxHz+EMSl7PM3m52BMTsQOinvux8qpklURsey694h8AZGakkbcpuj87d+7IlEnvMnL0mEbtu5oOieRQ5U6vRXdgB8rDJkLoVY+H/UEkILDh0KN/QSz5KqN9AntfPYILc8A3+zHGvLcJaiSHkBbJCXDjg/9m0InHcNzRR5De4RjuOWsuE6b+gcNbewDpoOHBH47jzDtugu2zeerJb7DHOfFT3ZFUoiMNSXJ6ItbO9Wx2tqWVE2ztB3Jal3lMza88CASmaUR3evEPPHzPZFaFk+l98e3cdNZAPp47g/bXP8boXrE3jg1vc8O4uWycnwc92tI2tyf9MiC8aAaT15zBzUe3ZHF8DgD+1UsoqLULBbaszkAqp931NKfVeCTdAWtD1ffjnLDh953QpyV4UxuUXVQURVEURVEU5X/H3toCB9JGkFIy88uvmPTxp3i9Hl58/umq6ScNGojT4WD6jBmUFJWQlJK8x7KNYRomjz3xHGNG3Vo1BtHDE57E4XDgcNRuBjc0Rl2zB4NBJr72JhdfNJwzhla3vvr2PhINwZJly3A6HHssXxnbkgKPDSIBA10j2kslOscewWWsDWzFHq8sSIr+I6qnW9F5JWATYbZ+/RLXTDPx2MLknDeOvmXf8WTFqdw4NMwHTz3NZdcP4p57v8RhMwALu8sZTQzJ+iU19r6/JMFAtCopMSGBSCQ6Po7d4Yg+Fgrjdrsa+VprlJSFiOtxHndf2417r38Lb3wCOn6S05LwRdjn/hLxR/LLmzNYF4ggtepOX3bLJBjrWQRAi+E8+drw6rBl67n1jQiaSCTBo2GW+fj4myIeGnoyOb98T9czOxP66UkC4lrISsIpQVgmUjS881blNmSkp1bdDxvhOuc5EIdEcggk1m6Decn8WXxfcCxD/3Eav9w/jXJhYlqCa+7tiADMld+ytEIgK2YCxzHgrntwvP1vPpyzrnauebcDWQKlfic51jI+e3UuH7/mpf2ZI7nvjPPp+dWjrI2EiOjR5ExpuZ0+143mXz2cmBs+5eIxX6AJgd0WIC7OjV9rztUn6kyaugTXUSO4fUAGD193LysDgoRjbuHZq4/guKvO5M17ljDsvGPIKpzLx9MWUwSkJPegT/OprFxZTnGFCdJC6gZrXrqVv4eiJ4tus5GRmErJvHf4ZOi93HLXGWAs55nXf2dTeDspE+9jBIC1hrfe30C8J77WM43sWgf0ZMOnTzJh6lrKTNC8qWQ6E9Bq7BQhwAjHUmJC2+O1UBRFURRFURTl8LC3tsCBtBEsy+LUU05myJDT9pgOkJiUiGVZVAQqSCIZgagag6ihcVesXMWjjz/FiFtv4s3XX2LlytWcee7fkVLy2cfvAbBq9Rouu+paRt52E127dGlwjOhA1LJWksflcuJyOfls+gwKCwu5/ZabeO3fb1NWWkY4HKLvUX3Yum1bdLDqWLx33n2/Ruww63eYnNksC83cgLBMLAQWVq32rEszCW3+hQXlx9L3pDa8N3ENRlYfBuaYLH9pHWX55Rx1ZXS6dAUw0o5nYI7JIqeF4dLxul34SuMYlfoxN4z9nZbXP0Lot+eZu3EzA9MuoWPcF6yMmEiRQuH6Xeg2C9Oy6jVWzpo1a+jUseMe0y3LonXrtgghWL16Nc2bR69etmXLVizLIiMzjWXLljf4daiIeLDSj+GhR49l+5vjGfPPd3B63BhmhBBx+It2kJzioHgf+8vCy8zSJJo1SwItkSQ7aO40LCMfS7MhEdFXIP99brn/J4h3IQRomo50pyBNDy2SwPeHn21TJ3C/ayz3vnACoQUvMOKd9bhOqYDe2SRokoBpYtUjN3TbiFEAdO/encsvvZiikjLsdhtuZzS5GAiGGP/g/QD8+613WLZsaYP2294cGskhGc2M1uIIMPP93xh646nc/0gb5vy2iRJ7Bn29ANuY/uESXG5BUHPwmw/6xKXS/9IR9L90z3XXXLMhBWZyP+578OTa8+VPYWW5RMbrVdtixXXn9B7RgZ/0Zifx4jMnAhBa/zHjXlhI5tm30e80jdL5S3lv5RxWma0Y88x4thfrZGQkoAEl838h+8TLOaNfCtCC0vnLmLrG4PIjkvnb6Mc5xm/h8dhY9tosAnaLBKeX+PjqK4wZhDBtEX6bX8jZQ1IJ/z6btSELYQ9WP8U/5rIqINHiq0sVQaCX/gacT+szR/DSmQYRy4Zdg5uuu3GPhFnNhNoer4WiKIqiKIqiKIcFS0rKynwUl5TVmr5h0xYAkhLjSUxs2AVsLCnZsXMn8+ZFLxmfkpJCVmZmrXZH5d8CuPOee7nuX9eSk53d4LbJ8hUrGXHrTXTrGu021qlTBz6dXLubTscOR3DHiNtYsWp1NDnUwBgRI4JhmNjt9j0ec2gaWZmZ/Dp/AR63C0+sImb12rVVVTMRI1oM8OOcn3G7XbElTbYs2wbndCZH/4USy8QSOtZuQ3ULgkhhMOPzjRw//Aquzf+AsmOGkFU0i1eXBbFrhbj6jeXa/A/4enMc/YZHHxMON5aUlIc0HN3P4sP33sB0udi6dAuus4+j44wisktWsr4c/F4HRnwr/lg5F4+uEazn/nn08aeIhCNceMH5DDltcNV0S0qGn38Ofr+fxUuXcsWllxKOhNm4aSOGadKyRQu+++57hBD7WHsdr0PA4JgLBpG55QveznOTmeMGLPSynZQYmfzj6fuYNPp6hIjsdX8lOKGiQoLQ8fsilETAChQQFHr1gNRV+15i0wQRBKaUGBIkdrwOCAcieNwu8r+YxHRHW3bMXIPH4yDoD4MrDpeQ+JH1PtZM02LOz3O5+O8XMO6+e3jnvQ9Ysmw5AL16dic1NQXDNPj5l7m4XE50/cCHkz4kkkN1dSvz2sKUr5jEdqsPWckdOOZvHaIP+Ncx/eWJfLsriOaMw4mPF8ZM4NihgznpqA60THaC5adgywYWrChFs2tQ46puQkps1hZ2VBhkeqNP36zYyfjHvkV67ASr6/HQE9OoGi3IEUdC5UDzaS6EtChYtohID42FBRKntZynx73DM/deTFYGmOVbWDh7Gu9NW4+v9SLyThpE9q5FLCywWPfsE3DBuQzr15YUj0a4cC0v/1aM0+2p42CROGxuts1bAENOYOkP6/A4BRGbk41AK+CPn1ag2U2M3RZNc4R4+KNfOW9QT9qlOrFrECrJR6P2IN17Viqq5JCiKIqiKIqiHC4uuvSKqr/T01I5Y9jpnDF0SK15KsdBmfH5l3z1zdcNWn9e/jby8rfxxVffATDghOO47OILyMvfBoBpmuTlb0NKSUlJCQ5H9ZWZ6ts2MSwTm6Zz3jln1Wv+Tp060KlTBwzLbHD7Jz09nZ/n/sYeDakavv1+dp3JIxB069qRwsJCXC5njdiS4iW/kn/RaQxo5+STDQGkw7vHVdyktIh3Swq/ncgE5wVcPvQaWm/6nhefnkK5DTw2wYRPN3L50GsY7TQpXvMDLz49hSAODMsFMonzL+3FJ6MNnB4H5XPf4d8druGfjz7Mp+NuJ+CSlIYipBzbn1k//QhOR733T2JCNGn42dRpJCUlcGz//rFtlnz9zbds2bKVYDBEp04dmPvrPCKRCKYJXbp0alQbVGppdMvVwHEaI++trkpb9dxtPLymqvMYifvYXxEBui6Q6NTMTVWPN1RdbSIEtbrYSSmQOIhzQSQQxqb5sYc38ck7i0l16oRtdsL+MGge4uyCQstEavVL4sTFeRk14lZsuo2cnCxGjbil1uOmZWHTbdxz1x28+PJE/E1wxTJxKCQCEhLiZb++vfaYLqVGWcBJu559GXbZMHp4YOy1/yQ/opHpFYRt0SyrIR0EA36MSAjTjI1IpGskuC00hxcLJ0VFhXhdAo/HS8B04C8rqr5qvBBkJbiI7HbpvEAkjlD59lpjEAHoukZ6oofSiJOQv5jsBCdBoROIOAiUF0UrcTQNr0MQ53ZSariJ+AqxNI3sBCc+3AQCFRjBEFZs3rRED9Y+EqVBM46K0h1kxwnCjugYSqVFPgwgzSvA6UUCZUU+IgiaxQuCdg++kMQM+DFiT1bTNFKSPBh4qCjaSQRBaooXX9hJyFeI0G2kJLr2viGKoiiKoiiKovxPCwSCvPryC3tMn/TxFL78+ms8bncdS9XtqScea3D8hx99nMsu/Ts52dncevvIei1z4sABDB1yGrrWsMuhT/lsGt//8EODlrn/nrtITk7e/4x7UVxUxKtvvMXmLZtrTfdVOOlz431c6/2YkQ/9iJ7gJgRY0klFWREOOzg9XgAkNioCESLBCnSbjVSPXjU8ii8giQQrsCTY7bUfM6SbQGkBiUleLMDCjs8XwAgHyUiwEbIlEwgkcsHDI5k65p/Y3N56X369plAoxI3XX4fdbuOFl14hGAyiaToOh50nn5jA/fc/RHFJCT179uTqKy7lpltvb3AMEw8VxTuJ7JbSyI4XVNjSCJQWkJLkxdjP/qoksVNRWorQJd44b/V0aaO0rIz0RE/NuhMADLz4i3bgcYPNHcfuysIOIr5SWiTZ8Gt1JQvrZrfbueaqK/F43Xz11Xcc0/9oOnaMFsysWrWa5158hTtG3Yq/IsDE19+oGsepLt98++MCKWWf/cU8ZJJDffvsmRwCsKRORcAg+ZirefTyzjiCheTl5bHgo//w07YAYZunzuUURVEURVEURVGUxvm/o/ty0YXVA/BOmjyFL7/6GncDEkMATz/V8OTQ+Ece4/LLLiYnO5tbbq1fcsjv9+MPBPZVzFMnj8eNx9OwNmVRcTGW2fgxmDRdIy4uDsdulUVBy4uZ2IcHHvgbu169j/8sKSFi3zPhcPAIykI2Wgy+mQdO2cmYUa83KKFRk5SSsvJykJLExMRaj3Xv1o2FixZjScmEhx9A0wVj77y/KZ7A/wwpJeFwGN1mw4hECIVCvP3mawBcevnVxMfHY0mJaRg4HI59dsn79vv/ouRQfHyc7NO751+9GYqiKIqiKIqiKEpMMBjg1FOiY7V+P+vHRq3juWeeaHT8kuJi7r5vXKOX/++kURGxiBcBpM19QFcJawwpNYImeIUPSz+4hRijR95CXv4W3nr7XRwOx/4XOMwVFhYBkJqa0qDlfpg1p17JoUNizCFQ49woiqIoiqIoiqIcSpxOFzNmfgnQ4IqhSmWlJSQmNrwLVklJMe9/+NFh2E408djAxFX7mvd/YnyXDibugx5/zJ33oes6cXFxh+Hr3HApKdHz6GDtK5UcUhRFURRFURRFUerkckXHI21se23MXao6ssTvAAAgAElEQVS7kFK3hIQEQOUCDhWHTnLoTy+YUxRFURRFURRFURRFUQ6J5JBVYeKfV/ZXb0ZtAgR7DupUd1Kz9sRmnVvx6szXD852KYqiKIqiKIqiKIqi1ENmVna95jskkkMCgVPUPQDVX1pRtI9Ly0cf3n2G6NY6NOfB2iJFURRFURRFURRFUZQmdUgkhzSh4dRrJlRkVVJI1pj2Z5LUXTlUuRnRK8UJhKy8E9teCS5dJYcUpS5SSlb+vpSIYRyUvsWZWTlkZmWjafvJ7CqKoiiKoiiKoihVDonkkEDgEg4EolalkAQsLP66+qHa6aGqPFDVdIkmtFgiKZYeEuC1HdxL/inKfyMpJWtXrSQzpzket7v6pBGVZ1nlWS7YfzJYVK60xuySrVs2s251Me07dkYIlSBSFEVRFEVRFEWpj0MiOaQhcAlnVSWBBCRWrH5IxO7Dn1E9VDPCnk3LyqSQAARa7N/KtqkWS27ZNftB305F+W+zfftWhCaIj4tD07Wq80vWrMbbrRKvNoGUEqEJkNVXNRBCIKWFlNCqVRs2bNzA9h3bya5n31pFURRFURRFUZTD3SGRHNKFToIejyktJBYmkjivm2OP6k8kEkJoGkLX0Ow6ut2OpmtoNg2hCTSbht1lizY2Y9NtDnvV/JomEDYdYdMAkJYFFphhAytiIk0LyzQxQkbsbwvTsLAMCzNsYhnRaZZpYoYiSNNCWha6pqPpOl/88C2aFCCqG7tOobqVKcrutuTn0alLNxwOJ7rNFk2lCi2aC7JqJ4PqqvqJFgfFKoViSeOqR6QECZaUtGvfgQXzf1HJIUVRFEVRFEVRlHo6JJJDADoaCIkVa/T1aNsVGTHR0RFCQ9N0dDS0yr+FQLPpaLqGjo4mdDQt9rhuQ7dF/9d0gdA1dF0DEa08kJbEEjrSbiEtog3LOAj7Q1hhAzNiYhoGYTOCaZlYFkhNIDSJZZlIBGbIQHNoCARarCGrEb3/Z3ZmKS8vJz4+/k+M2LSKSv08NHEKDqeboK+w3vvO6U3GiIQZ848zSEn0NiruY2990aCYEnB5kxl5+akNjrlt+44Gb2Mw4Kd169YNXq5SYWEh4Yjxp8bcFyll9OwQIKUV6w5msUc3MlG7e2mNFVR14Yzer/wvWl9YVYEEWJZV5zZ8NuVNhg5uz7U3Psn831Zx79iLKfP5GT/hAwYc141XX76RFm0vxzItNq9/DU2DzJZXsnXLlibYA8qf4eIRTxMKh/aY7nY4ePvxWwGY+u18/vPZd3Uu3751c8bf+vcm257PZ37Bpk0bKS4uwTRNOnfqRLdu3Wjfvt1B6/q4bds2Fi1ewuLFi7Esi/j4eJo3a8bZZ5+lulsegLBhEYqYeJ22Q2ZcM58/SFGZn007y/D5Q7RtlkJmipdE75/TvX3hgoWU+8oBOOGEE/6UmPU1e/aPjL3zTgCuvPJK3njjDQD69+/P+IfGcdbZ56DrOpMnfcQdY8Yyd+5cPvl4MlOmfMp/3nkHgIfHj2fM2LEA/PTj7L/miShNbuq0aQwbOvQvX4eiHC6CwRCGEQFA0zTs9vr3stE0DV3XGxSvrKyMhISEBi2jRB0yyaHKIagl0eqepKQEAoEgNrsOUiIkSCtWIWBJpCaQZmwpG2ABJtFL0FuAJaJVPlIDS2JaMjZTrDuKFRtyWkYblUIIHB4noYgZiwNCVlYkSKRlRQefjt0XCMKhMJa0EEJHILCQaDRN57dvv/2OOT//jNNZ91XcKpWWlnHSSYM4ceDAJoj655vwxjScGR2waxbnHNeWxPi4ei33zs+FCCl4/K0ZjLvhXDRNq3dMy7KicdNaNyhmmc/H1KWhRsVctGhhveettGXLVv5x9VUNXq7SZ1OnkpWV1eCY2dlZDDn99EbH3RtpRc9wGTt/qepGKmMnvqxquP7yyy/cdffd2O12+vXty/333bfHeSVrJIuqu55SlQCuS8HOpdgic3hgpJtgoDvZWWvQNMHgY4/G69FxRj6g77DrAHCanyAsGHvLEU28J/YUDodZvHgxK1auZPPmLTidTjIzMujUqSNHHXXUQY+5a1cBoVCI3BYt6NSpIz169MDh2Pd7T2OZhkFefj5r1q7FiESw2e0kxMXTt99R6PqBfyQlZTQjrWXnWtMKNy6hb9tk3nzrLXbtKgAgMd5DauteuOOTq2eUkpVzZ9Y71pTJz/PAQy9jWRZzZz3NhZc9wvKVm5j4/I0cc3RH7h43leNOGMzw4WfhdHvYtbOEHdvWMXPmp0ydpnPJxX8nMzPzgJ9zpUAgwIwZn7N12zaOPPJIRt1xB9I0KSgoYNOmTbz2+hsMGzqkSWNWmjdv3v/csQRgWZJvl2xnzdZyAmETTWgYhonHpdMm08tpRzVvkjiNMff3PBZsKKEiLIn3uHDaHcz/aTMum6Rrbhwn926HzVb/z6n6Ki/34fV62LJ5MympqXTuEj3fVq1aRceOHZFSUlxcTEpKSpPHbohAMMB55w7BYSsnwVvKJRcNACDOG8ePsz7gzKG9Afhx1gf07JZK+zYD+G3eNLp07cTNN98MQE6zZnTr1o1ly5b9Rc/iryOlpLSwnLKiMgASUhJISvvfaGxNnbr3xI4/P58fBp5I9qmn0mHUSDwtWrDoxpvYNnNmrWn7WoeiKNU2b97MhRddhhGOJoeQkvikJOz1/G6QkZ7BU08+TFJSUr1jvv/+B7TIbcFpp57amE0+rB0yySGIjjNkxUYbsmk60pBYukTXwDJNdKFHE0LCQpqA0JAi+gFmWRbRzIxAWBbSkGho0WoFaaFJrXosk6qcT3Vj1TItdJuGI96FEYqAGWu7SpCmBFNimWa064olsSxZlZyKVi5YRDegaYbP3rlrJ9dddx2tWrXa53wvv/wyP/wwizivl759+zY6XiRUGq3mqEEIDbszsdHrrI9gOEKSy41VsZPE+NT9Pt8qs/NweDMo2RaiIhAi3uuud8zyiiDBcARHpKJBMTds2ABGEX5/w2Oef/7wes9b6ZVXXuHzmTMb/cbWokUuZ511VoNjFhYWHVDcvalM5lhSoiGxKscMqnwc0JBIKXnyqad46KGHGDBgAOeffz5vvv02Rx3Vh06dOsVO4eqrA1ammERsTCJi66jLNVedjMOYQpuWtSu/EhOqf8HocswQAIaOns70CX8w8sYjCDTZXtjTihUr+PLLr2jXvj2nnDKYrOxsAoEAeZs2sWrVKuJXr6Zjhw5NHveFF16sipmZlYUQgtWrVrFq1Sp+/mUup5xycpPH3bZtG7///juZmZkMPmUwmiYIh8MUFBby/Q+z6dKlC9lZTZu4KNm8ggRjF0muRPocG32uwWCQvE2beOrdr5EtuuJJSIvOLKg6Luvj2ecn8tnb3RECEu2T+fczzTHN5tgdy3nj7TxOGnQcJ592KrqmI4GEeC/ZaQGSEpPZsq2Ed997nzPPGEabNm0O/HmWlPDue+9xxBEdGDJ0CJ64+Kpka/MWLUhMTMRutzdpzEorVqxgx85d/3PH0sbtPj6ak09aaiKpqUkIITAtSWXBcX5JmGenruK0Ptm0y6n+rLzl5V+5/ewutMio3w8PjWEYJr9u8JGZmkaagIqAQak/hKU58Fvwyzo/q/N/49ZzG/+9oC4+n4/Va1YTDoWIGBGOO/a4ql+Ad+4qwGZbR1FxEU6HC8MwyMjIaNL4DfHgg+O45MLjGDYon8SEzbs9upJ+VTnkDRD7e2P+eirEEQwePLhqzgkTJuB2/TXDBQRLV6I7U7C7MokEd0T/D+wAQdXfdncmZrgI3dF0yTjTtHj9gf+wc2shue2bsyN/J5v/2MZlo4dz5PHdmyxOpbNuerDRy6alJPLqfTfVe35Z44eouqye8BgnPfQQq6dPZ/WEx+j13LPYSkr2mHZYVWFKi5Ktn1G6ZTJl2+uuut2dpjtJyDyRpBYXE5954kHbtGVTaw8h0G3YtoMWa29xmzLmZ9Om46+oaNSyF17Q8LbGn2Hbtm1Yhom7eXsAjLIiWh09lJzO/eq1/Ippz1FWVtag5JCvooJvv/0Ot9vNwAEDGrPZh61DLDkUrRqSWFhSYhkmmhDRKgBdw7RiDUBAWgJLmtHKn4hA6LGGohX7X9eQESs6XpEGlh5N3NR6M69MEMUqDYywGb0UfUocRiBMqDyINCykYWEZJjJiRscfMiSWGetiJi1MCWg6eixB9GdeWy0YDPKvf/0LgMcef4KRI25v8DqKty8kuOVF2jSr/UH3xzZwZv+LlKwjm2Rblfrbvn07CQkJDBp0Ep9M+RTTMDjvvHObNMamjZsoLysnt1UuCQkJVTEvuOACioqKmDRpcpPGNK1oxlXK6Lhd0cGlteoqHyGqkj2WZZGYmIgQguTkZJo1a8bXX3/D66+9zq6CArp07szIkSOiVX+xKiQpreiZZ8lorDpktryKjYtOqZUMqjRkVJuqxBBEk0SjP4Plc6Yz6dkm2w21vDLxVYYPH86tt92GHmtg3f2fhexa8QOP3XEVubm5hIJBXn5lIgMGnNAkDezly5fz05yfa8VESiKRCLm5ueTm5gIQCgZZ1USJqW1bt7Jm7TqOPvpoBp9yCrot+tFjGAa6rpOamsqAASdgRCLMmjWbIzp0aLIkUVLzzmxdUcyRRx9H85x0kJJwKMj0OauIy2yHJyENKS2E0KIVow1Y95yvrkK3VlTdz8lyM+M7OxVGb664sj+uuOZomkYkVEA4VFJVLdcy10uLlh05+uijWbFiBa3301ipi8/n49+vvUkwHMSyJJlZmQw+5VSym+VgczgJhULkb9yEFTvXALxeL5dffjl//PEH373+BlddecUBNXAqj6Xhw4fTrWev6MS9HEsvvzKRf157TaNj1TRr1uyDfiwVlAVZtCVMu5YZRExJJGIiRbRW0Yj9QCRsNmyeeL5eWcH0JSUUFJTgcdpISorba4K6KXz12zpWbTdwuzyszi9GAkYkwtBe2fTsmM3jHy4Em51S085bXyzhssE9DjimYRj8+OOPnHjiII7qE61m3LptKzNmfE4oFASgR48etG9fu9KyrKyM+HpW5za1M888k+Rkk5SkbSQl1q9LQmmpSYWv9jkxY8YMnn/++T+9W5llhnCF7kXHhQMneiiIAxd6OAiI6LRwEIdwUbJrB8Xl2aR1fuWA465buoGFs3/n3OuGkZJZXVnpK63gzovGo+kaPY/pesBxavrHtdfw9ttvEwoEq+63btWKd999l+W/L69zmQ6dOnLZpZcydszYRsWMRKJVDJXvgVXvhTXP3cofnw9zm+ZfQmp2M9r1OhXs1yK0eIRwxL63CYRVjhVeU+ey5YWzWffDA7Qb8EOTb1dlgqbvydHvbvO+mt7kMfYWszJuU8f0V1Twt2HnEOd21Liab43HA2FCDRwy4nDUqVMn0tPTGTp0GC+++CKXXnLxPuf/8suvePTRR7GkRds2bTnvvPMYPPiUP2lrDy2HVHKoUmUDzzItpGZhCQ1NWtGuW5aFZmrR+iILhCmwTEBIXF4H9kQ3njQvul2PJoYEWIZFoNBPyBesXHv1/7H/rKouZGBUhLF7HFgRKzpItWVhmTKaJLJkbFDq2PZRuzHx56WFYMeOHdhsNpo3b05eXh6DBg1iy5atNGuW0yTrd9klW9e8xa4/PtznfFJotO4xAqcn9YBjfv/993z//ff7nGfgwIFAw/qeNkXMelc1NYHy8nI2b97MzJkzCQQCLFmyhNyWufQ7gOqw3T3/7LOcNnQI8xfM44orrqyK+dFHHxGJRJj/229NGlPGunBKBKZpRZM6VmXlXc1uZtEvabt/IRNCsGXrVj766CPeffddfvrxJzp37UpyUlK0fs+S0XNR7r1y6Lj+nbDpe37Yjnwp2ohdPmd6VYJox9pZFOwsb5LnXpdgMMjQIUPweL1VSRoj9mVVeqp/bXe6XAwZcjqTJk2mTevWB9RFJxgM8tVXXzN8+PBaMYOBwB77zOlyMXPmFwccE+D35cvp168fTqeDiGHw/gcfcu6559Sq0vlx9mwCwRDH9D+a+fN+IyM99YC6Bu3asJT01tFfuHM6H8MDz3/Ey/dfQzAQ4Os5S9la4SAhI9olqHxXPjZ3HJ64hv3yfsk1n/Deyx2r7lf4YeFyN1dd2Ru7PQ5ddxPyb8WI1P4VMBg0EXoYu8NBp06dWLt2HUcc0b5BsdevX09pcRmDBw4mFA7RslNLkpKS8HiiVXEVpeUkJSRFu1rHPqUq/BUEg0E6derEggULGhW3+jlUH0sebzTmvo6lIUNOJxwOH/CxFIlE6NWrJ06noyoxFAwG96j4stnt9OzZnfnzG3csTZ+3Gc0Zx7pNO9i2sxTTMtFtdrq1ScfpcmBzOLHZdArLDbYWBfCHDVLiXEQiEGc3D1pVQVFJOYs2ltMyJ5NV+cVV0212OyvziiksqSBc4wIZ6wtN1uTv5IgWB1bBo2kaXq+XSCSMLbbff/75Z7Iys6rGX1qxciVr1qzl9NNPA6JJfo+n/hW2Te3GG27gp1nv/mXxD5QZ2onNbsfhjFYtOZyuWv/X/Ds+JY2iwhKkGUDoB7bPi3aWMGfmXM67fkit6XGJXq4ffyXtuzdd1WFNRh0NXsOs+4ceAFsDxyCpVFk5tLcxTzqMHsU3NbqVaZqGkZTEN3feWTUN6r5wRn2cddODTHn27j9tuabg2zWHNt3vBc2NZqudbBci2vNjb7zJrQj61jUysmT8o49wx6jRPDLhUYCqv+8YNRqoTgzVXKZhP/PUHdeSsipOzXh1xRz/6MOMHX1HE8SN8sYSQ5YlMUwr1kaNtlXDxt7Pif92uibQNEHEOPCEbEZ6GitWRH+8u+6663j9tdcYPvz8PeaTUnL9DTeyYMECHn/8MdasXs3jTzzJ9BkzuOTii3n88ccOeFv+2xwyyaE9qm0kYIKlxUqBbDpCSIQlsKSFZgGmQHPopLRLx5XsRtN1KruJRccmspCawOa0kdw+Hc2mESkP4i/w4dsR7UMd/T5ZPeZJZZeziD8MGlgRK9rFzDQxjWjXMiuWGBJWbLtF9SYL2MdbZNMqKipi48aNPPHEE7jdblJSUpg5cyZ3jh3TJOvPThOkJvoA3z7ny9suqSjb1CTJoYEDB8aSP/s25+2m+wWvvjE3bNjQZDH3p3379gwbNozWrVsTCoXo27cv8379tUmTQ7fefjvPPfcct426nccnPMb1N97AsGHDSEhIIDU1lS5dujRpzMoxh7BMsNlAWpVDSVN1mXpAChG7PP2eCZ527drhcrno2rUry5YtY/wjjzDpow9xu6NfkKtGMdrLmEOT3x+Bw5iyx/TH/pVX9ffoz6L/F+wsZ/qEPygrixzQ896bxYuX0L1Hj6ov/mYkQsDvr3PelJRUcnNzWbxkCX0PYAyixYuX0LpNG5KSk/cbE2iSmADp6Rl4vF4qKiqYMeNzNm/ZXKsxLy2LRYsXk5OdgzcuntT0NPLyN9O6kQnZoo1LOb5zCpO/iSb7ynduYmC/rlXPtXeXVrw/YzZxqTlous4R6TYWLV+GaNWjQRUfefmlte4vXyNomdsaj9uJ5oh2M9o9MQSwc1cIl7uUtPR0hBAsX7G8UUmahPh4muU0Y8WaFSTEJ+CJi0PTNMyIgWmaVY34SpXjpAkh6NKlS6PjQu1jyeF07vdYSklJbZJjKT8vn9xWLasadqZh7LUroDcuntS0hh9LYcNiR0mYpWuWUlywkw5tmnHewM7075KJYVrsKg3y49IdFPhMthZFCEZMpJTsKI0OhN4htf4DbTbUyvwi7A5HbBzF2raUh9hUEkFoNRrNwsbS9QVNkhzKyMhk48aNtGvXjl9++YWc7NrdOTLS0wmGQsyY8Tmnn34aW7dupXnzv25MpkEnncRlfz+eYw+wcGrQoEGcOHBAk2xTQ+jOVGyyft3ZjHCIgrzZpB1RgN3T4oDiturcAk3TKNlVSnJG7W4cR/Roe0Dr3pvWrVrx4IMP7DH9sksvbfJY++tW5mnRgtPWra01rddzz9Jrt/kOp25llhlC0+1ga4Y0i5HGdrACVI/4uPfPTU2zIfdSzb0/4x99hFEjRmFZklEjRkW3Jfa3tZfveeMffYSxow+sHVQZt2bsvcUDGDViVJPErSSEwDQlZRXRQQ3WrV5ZVelWqVmLXBIS69/N6lAmgIE9mpGV7KFNVjwr8kv49JcN+9zn+5Oens6OHdUXA3J7PLz51ltcftllteabMmUKH3/8MS+//BLHHXssxx17LF27dmPYGWfwn3feUcmhQ4UgNo6QEa0uENG0NFJaWNLEZtjQ4+3EZyfhTY8HCYGiAEKAZtPR7RpCF9HL22tatPqncl02jfhmyQibRvnmEjCt6u5llaREmhCXHkfJxiJM0wRTVl3qXprR5FA0C/TXfTh06tSJUaNGkZKSUtUImDjxwEuKfRUNawybJgR92/GX5eNJOLAvJapyqFqHWHceh8NBamoqyU08uGdOsxwefuRhHn5oPNdc/y9ee/VVbryput9+U8eUtZIBZo1L0keTQ0uXLmXWrNk0a9aszsqh3V199dWsXbuWVatX0bNH92jlkND2WTm0dWsRuWmyQVcaSkiwEwDueuY9xt18Ub2X258VK1fSs1evqiswhOu4wlZNHTp0YNHChQfUuF6xciX9+/evShL8GTEBsnOysUyD1994g8yM6K+OJcVF/PbbQo48sie/zptPYkL1mC1ZmVls2rSxUcmhQHkRlww9lj+Wz+fB68/i7R+30KWFl7NP6o0R+8UtOTGe1x+6nqvufIG2XXpz6UXHc2y35jzz3rcNijXhwb8BZVX3N22x06JFLiDQbXv/9V7Xif2YEZWXl9+guLvbtis63oFui67T3Mev7ZWaN2/GggULGh2z5rGk6zqB4P5H5lq9avUBH0vbd2yjdetWVQ0zcz/vE1mZWeQ18FjK3+VD03U0y6BZdhan9GtL/y7R49ama2SneDh/QGvydpTjm7ONgoCNneVBpJSYseEHD9Y3g7ydZcS7vBSXV5+7moCOqXYG9GrHl/PWsa5UVlWLabrOlkLffhvE+7N61Wq279zBMf37U1JSyvYdO8jKzKRly5YUFhbhi12xzOV04q/ws379elq3bs3vv/9O165N2wXpz5aXl8dv8+dzbRN1i6w/vd6fVXani8y2p6I7D3yMp4ycNC6+7Rw+mTidv992Hi7PwR9vqbFdwwDsjkOyKbNPBzLG0l9JaF6s0EqEDP8p8e4YNXq/CYLdu3XVrPA5WHHr6krWFHFrqlk1N/m9/3D19Tfz6vNPccJJp9CyVRs2bfiDbj3/N4b96NAimeO7ZvPo5MUkeZ3cfnZ3dhT7mbNie6PXuXty6KKLLuKTTz7hlYkTufaa6vfyOXN+BmDkyFGcdeaZAPTr15esrEy2N+JK0/8LDtl3VGlKzIiJrovYlckADTShEZeTiCc7EQyLQHEFusOOZosmgyrPZc0SWKYV/QJuCXRLgibQLA0rYuJJi8eTkUDR6h0Ei2K/7Fa9D0THL3Eme9G2lEDQwjRMrEhlcqiyW9m+s+V/hqYe7LG4NMzOwmCDljEtgbXrYzZunUZu9zuIS2rZ6Piqcujg27FjR62rFXXt1g27zR4d58uyGnQVtoaQ0ooV9FloQq+RwJFMnTadSZMnc9dddzF//vx6JYcg+mt2JByJfojL6hK+3QdXr9Tr/0bWGnNoyKg2TJ/wR615ls+Jfui3z42u491J+Zx9Caxen895Nz3KpGeb5gvArl27iBgG19zxBNKdXjU9q01XEjNbcdvT0RIm4d/BwyMuJzMjg23bD2zQw127dpGZkYHNbucf970JYi+vtZS0Sghy1fAhBxwTIDEhAU23MXToULKzsnjxpZcIhQ3y8/Pp0qUznTt1wl/hrzomEuLjKC0taVSsswf1YUDfLvz6w+dkZmRwRPo2rjrvZHxlZXvM+/pD1/PvKdHEcGZGBu2TgqT36VPvWP36NIcaYw6V+TRael0ITa9qnNelWY4HS1QnXn2+fVdn7k8gGIh1o47GrM+5E+eNO6C4NY8liA5guz9NcSyVl/vQanQR299zTYiPo6QRx9LGLSX079GaUMQkJ7XuMXNyM+Pp38HPF0sKiHfaKPaHo+OgSVHXUBFNwhc0sHvtFJbEqrQMk/4dkvjb0e1x2G1ErD2PvP9n78zjo6jPP/6emb1y3xcJSUAIAcKNgIK3qKB4VfGu9ajWox6tvT2wWqv1atV6oK1aL6wVW8UTREEREAEhiYQzEAjkvrPZY2a+vz9md5Ml926A6G/er5dmd3Zmnplldma+n3mez6NiodXpIrofTRQOxmq3MX3aNGRZZsuW70hMMI7fPN9DjLKyMraWlACQmJjA9u3byckxSh03bNzA5EmHfxAzZsyYoBKsg/nks2pOOyml28/9bN++nVdeffWwi0OauwqP24U9IrLXeYUQaN5WX3OU8Jly0kT++8KH3HnZnxkyLJ2muiZampw8snjBgKz/YF75c//9Mv1c8btHw4v9xats3lPI+JxxzJ00h6TopC6nmYCEgiQOX1nTg395KJAx1BWjzzzYaN5YJtwMnp7idhVzoOJ2pOPocvzEySSnpiFLMjGxcWRm54R8jzQYiY20Eh1hZerIFFYVG4LQkKSoXpbqmcjISEDQ2tpKlK/0/fzzz+eDDz7gb397gltvNR6G5w7LBQw7j45ERUUDpjg0aBCArmp4XS4s1igjt0BWiUiKxxYTierWaNnXYAhCFsUwnrbISLLxXrIpyDYZW7ydyLQ4otJjiEk1nkprHhV3Sxs1WyrQ3RqRadEkDEumfM2u9vIw3wDFXeckOT+DfWtKER6B6vaie3R0XUPX9W5Nbw+uvXUcdGF3tXWfen+kKS1vY/KY0DqUFe5JD1kYkqNSefWrWlhZ1vvMgBQVvijW35hCkpCjUoGuLwzfF9LS0qipr+Pfr7+OV9W49IrLUDUvxbhBvagAACAASURBVIVFeDweHI7ub6Z7o6dj3XjCrxsZgL52PwLjqbesKNTW1jJt2jSmT5/OPffcE8h+WLhwIQBnn312YF15ee2mp8bv0egkKPvEju6yCcq2PUu0vCRgPj12Jpz163Yx6PGbd3cSi1bumckbtzxEUkoq6XnTWPBmMQsuGhvS93MwkiQhyzK6r5SuIwGRrsP0gRDu2kU5qdv1CV0LZDQNlFhotVgZlZdHk0+kSUtL5aqrrwp8/s03oWexdOTME6cEXgshuObC0wKvu+Kq89qFYVmWueq8U/oc64Q5L/Ll++3dNlKTVerqmhC6iq57kOWu/XXK9jlxRNSQnGx0SUtOCm/gkRCbgNB1dE1DVhREH8Shuvr6sOMGZQP2oRzvUAjP/eku11cskkx8pMz1Z+b3mLlR3+Lmix1teCULDhtk2BxIgKz0v+Sk47mzp3uE5Dg722uacbl9+21RWLqxnBGZiRTkDWFXvZeSFa8Tl5JFxuhZWCxWoix6WMIQQHx8PBaLBVVVg2623S4XdoeDoVlZREdFBbLRvF4VXdeJj49ny3dbwoodKm63u0cvlNNOSuG7ijt54m8Psfnb1fzp97nkDI3pNN/RRx/Nnx944FBuapco9lRsUt+ux5IkoVijEMhhZ60tfu592lrd/H7h7UREhX4/MFjxC8o33HgTAFc8egVTZx9NfX09f1x0P661Lq58/Mqgac7Vwb9JIUTgGtlfjpRv0EAg9Cbgh+t5M1hobfPgUds9uOae17k5zJhx4TcaCIe+XrP6wtdbq/h6axUAt5wzjqLddfzny51hrROMBwRFRUVMn95+nzZ37lzmzp3LmjVrKBg7hp/ffDM/v/nmoOVefOkldu7cGbZH4veVQSkOgVFTKlQjSwerTFRaArLdiqfVg2KRQSi+/1R0SUbSDIFISIK0MRmkFmQRnRKDxd517X/isDSaKxuoKiqntbaF2KGJNOyu8Y3DJJCMbiS6quFIiKCpyYXwCjRNRdc0hC6CbsBFwHGoM4NZDOqI06Vht4Z+WxGZOC6s+JI9CuzhKcWHMuYPqbp8+9YSLr/yJ4H3+/aXUjC+gCXvLeGCMDqU9XSsC10EOgoaxWS+95KRARcREUFxcTEFBQVkZGT0ONhM8Hnm2Gw23G6PUVImJIQMPXkOle6u4vfPde5KBkbG0LsfHWBiQRzZWZGs31RPcUkz5VXB8wMDkkGUnp6GRZZ55v5b0YXA6cvi+Mu7O2ms3M0jt8wLmn/v3r2BkqxwYlZWVREZGcmzd10eiNkdO3fuDDsmQENDI3abDWFpzxhztrayfccOhufmEhMXLEg3NbcQGxuaSO3Hv6/Jqak9CghF28ooyMumorKy3/t66fzgls7Ds1RWbtjOjOljcbfux2Lt5tzi97jzkZMberYlQEaq4f3S2tSC1WbF4+495X/37t1hxe14LPX1BmogjqXYuFh0TUVY+jYwa2puCSpZ7As56dH86erey9++2VZLrOwmJsb4tzRK4AWSBAkx/SvF6et9woiMBL7ZtR9rh4yYIUnR5GYm4PGoyEDCkJFMG2phw/q3SD76InLTY/u1LV3R1NiEw27HYrFgtzvQdaM81+5wIHSd+vp6Vq9eg6qpREZEBMzC6+rqSUgKrTy5paWFtWvWdvnZKaf2LuLu3LmTWTMye5znnXf+zfMvvEpRURG/++2t3PDjFiIOSibSdb1PpZp+qqqqePrpZzpNv/HGG/qV7X0kModcTjebvyqmoa6Jy35xfqfPV752JVNPO5vYBBsbP7iOSXMXBv4CbPzgOsbPK0JIgzvTRpZlnvjbXwH4x/oXGT9hPJs3bWbKUZO57MeX8vy6fwRNu+InwZ2OJEkKiEuDme6ORej/8QggPKEaS4dGX8rKulrm+xrXj+cQdyMbiOPiUI1taxpd/PuLnQzEc5+UlBSqqqqCprW0tFBUVMT+/fv54P33+bXPYN7Prl27uO+++5FlmccefST8jfgeMmjFITSB7jVa2TuSoxCajrvOieKwgLAYpSOajtAVwIvFbiUiNZqYofGMmF2AJIHUw1NKq8NKYk4K8VlJVG3dT23RARyNkbTVthCQASRQnR5i0mNp3FlrtLHXNJ9IpLWXrviPYOmgTmg+SncGG9sNOyo0A9BDTXOLl+jo0A+JqPj83mcyGRQ4W9v43zvvkJ6eTnRMFIoNIiKtLHz6r5w1bx4OR2geAz0d635RQCDQhWS8EoZ1V3paGpMmTWLx4sUUFBTw2muvcdRRvRtfGuKQ2+iEBsj4TeW7vqrsLk8Farpd38r1I0geegYpw8fx3Z4P+OCzTyH8cVWXjM7PRxeClua+dUQrKSlhzNgxYccsKSkhJyenV2FooGICVFRUkJySTJvLhcdteKU0NjayYsUKEhMSOolDBw4cYEhmz4O63ui4r93xz7c/Z19NCwV52ZSUlKA7Erni14/zyl9u71OM66+aElRWNmoEvPdpFdU1DaQkxxvt67tgSEYEyMaA2ev1MmnixH7sWWdys3KpqTEykbS23gexXq+XwsJCLr8sdA+tjt9vx2O4traW8vL9XS6jWCw429qIjAg9iyU9LR1NCNpc7eXPrc3N1Dd0/V1v27aNuPj+iUNur8Zrn+3C7fV1SfWVwwoEs0anMGmkkfE1e/IQZg9QtVTHc2dP9wgjs5JIjt5Ho98aUAiyEx1ER0Wwv7KOqTkxrGobzdbdn/PKC09xweXXoCedCeR1u86+0Nrawrp1pUyfPoOxBWNZsWIF6WlplJWVUVtTQ01NDW1tTlqdTpqamgK/u8amRqZOmdLL2rsmOjqaMQVj2bl9B4lJSQghqK+rY9To0X1aXu5Qatkd/3jhBe6++z4KCgp4b8mnTJ0yjqHZz/KnPz0YeAixfv36frWyT01NJSoqitzcHMP3UtfZvXtPvwfiij0xLENq4XQiRfYuLHVEkiQaapu69+2rPZ+//n419z1Za3RsUt8N/AWji5NX+wrVMq/L5XviN4+/yP6qOqC9zGxN4Tb+/vp7Xc5/06XzmDEu9OPab2of5Y3knbffMUrIJs9BUZRO0wbKfPrGn98IgKbqxoPuDvindfysq2kATz/5dJ/ipaamcs6557Js6VKGDR8WOBZPnT27X8ejrNjRNa9hSt1PjOVCu6fsraysu2UOZVnZoYx7uBiI46Kv16z+IEsSb6zYPiDCEEBycnIncWjBggWAYYI/b17wecrr9XL9z27A7Xbz1JNP8KMf/WhgNuR7xqAVh4QQ6B4de0wEwq3hbvEiWxXDIkM3shAsFhkhICIhivj8FLBJZE0fjqz0nrr+n3/9GwsKp5w9m7T8IRzYXEZMbgJt9a2g6uDrlqR5dBxJ0UY7e1VF8+oIX2lZUHaCFPhfJ0YXBKf+DdZMomanl+T40I0HoxPCa28q3M0ktG0lJrp9NN7m7myYq6ke6uNCu9kMJ2adYxSSvWvvie8bp5xyCjU1NdTV1rLi88/ZVbqV/779AQC33HgtC//5Skjr7elYFz6jaCEERqs/HX+Xsri4GCZOnMjTTz/NXXfdxYQJfUuXlWXZGLQJw/9LCClgaN8Vs0+bx+zT5nHhLQ8FZQwBHJWTyX2/bH/yc8H8a7hg/jX89tFXKV61JFBWBgyI79DEiROprKoiKSm513mrq6vYv38/53QorQs15qpVX1FbW9OnuAMRE6CmuorWlmaiomOIjIri2muuISIigmuvuQa7LwPirDPnogtobmqkrq6W8ePH97LWnvHva3f88+3P2d2gE50xms1btrNx636arcl4PH1/Yrd8xS5mH9f+3qKAw9rMgvv+wd1/uJq01IQul7NYJHTJyHxZtWoVc+ec0eeYXSErMg889AC//fVvSU3p/cZu1apVjBhxVJD3WH/p6liqra3lydeXYY1P7zS/BEhyCtuee5MFt/0k5LjZQ4fS4juW/KxavSbQsfBgrDYbTmfvZtkdqWty0+gGhz0C4S/UEYIIu8KEo7rOiBCivQL09//4mhvnjSYrtXOJUnd0PHf2dI/gsNuYPXEob67ai2KLxOP2MmFULgApSXHsqHQSERNPucfGtm3bWPTSc7zzzjv8+cGHOHPunJB/V2PHjqW0dDdlZWVkZ2cTH290yfH7DAHExcXR5nJxysknU1hYxNq1X3PccbNCiucnIz2d+tpaNE2jpbmZxKQkMtLTUdXeG2cs/3QZKz57FSjvdp5jjk7m3XffDZQtf7O+kFdffZXTTz+d+fPnc8cdd4S03cOGDaO8vJyU1BSqq6oZNmxYCGux9GpI7dou2P9IK8gy6bk/paXsXVzr1iEJgRIfT/wvbsfaDzN2e4SNcTPy2bx6C3XVjSSmtAurbS1tfPPZRuJ60Vo3fnAd487uv7/YQ7df1WnajHF5zAjDj6grOv5WAa447nI4LnierqYdTCh60W9/bwgOf7z7Af5w92+DPvNP6/hZV9MefOAv/Yo5aeIEdu7YgcfjCRyLkyb2ryQpOmUmjdVbSEjv//mjsXoL0Skz+70c9C2Dp/TLs3A1fht4P280FL77BAAR8ZPIGLuAqKT+dd090plDPdGfjqo9Ee5x0ddrVn9QZAmvNnCl4inJKXzjK3W+7rrrePjhh7noootYvHgxV17ZuRPiP//5Ilu3buWVf73MySefPGDb8X1jEIlDwWdZoel42zy01rUiKRJWqwXFavgLyTYNSZHRLQrJ4zJRkm3knDSKuIzON+JC19m7Zx8rl36OIstk5eYwadokVj36ERKw4pVPuO/tR5l08bE0VTagKTqVq/ciacbVQwK0Ni9RGXG0FjYbbXM9AtXrpT1DyNdNTTJKZQ72qN5StCno/WDMHPJ4NTSvID42tPrKylo3senh1aYLTxMXnDWb2x8yhIlzTp3GZRfM7FTXvaWkhMXFYYXqFHPlhu28s3RNUEyB4NH3HyMhOgGHbCEKI0MgM1Xw5NInaHE288Cl9/cpzoEDfb9Rqi35PW01S7FHDyN7/F3YorJo2vYL8mPb2Pbp/eSd8mWf1tPS0tJr3JjYWM46+2x+ddv1fLHkMqyKDVXIfLr4d8Rl/whN619qa0/Hut8HSBc6kiahCw0JGSSB1WJh3LgCZs6cyV133cX99/f+vQohWLFiBRfNvwBNU5EkGQkJQe8djPziTlflYRfe8hBgiEUP/vJyHvzl5YHptdVLBsyQ+u57FvDSSy9x5plnsmDBPYEB9qlDmyk44/TAfC+++CLTjp7Krbf8fEBivvjiizz0l7+wbt3X3QpENTXVvPfekgGJCfD+hx/y/ocfMmHCBM4795zAwD4yqr3sStVUNmz4ltzcXE499dSwY/r3tfi777jnnruD9rWuoYkVX28KCIQfbZexjTiZJAQV5X3vHOZIuIKy5hxSUlLYt28fC+79I6tXr6ampoYDBw6QkZHBE088QWur0fQgMjISt9tFc3MLa9cuob6+nksuviis/fxi7Uo+WbmU9957j4qKCtLT07sViT5Z+glle/dw2623EhsbXkqc//t98KGHmDdvHk888QTl5fuxxqeTktme9ZeRGMm5x+SSFOPg/kUbaNjTGFbc/777Ll9++WXQsRQR4SA5KZmpU6dgtdlY9/XXuPpQWtcTFgVqmo3spJgIK23ONqZkJ3c7WN92oJm46AjiIhT21znx9LO6p+O5s7d7hILh6RQMT+ePr63FZo/i5c9K0ZbuwGJVQDY6NmYUnMifH/kbLy78OxdeeCEXXnghAHv27GHJe+9x/vnnERPTd/FKVVV27tzBsccei67rTJ82jdLSUrZt347X40HXBcOG5TJr5kyKi4s53XcO2/LdFrZt20Ze3ghfJ7/+M2bsWD5d9iknnHQSFovSJ2EI4MSTTuayi2YxLMVLU0vX/yB/vmskp194AxMnTiQ729i+yy+/nMsvN877mqbx0ksv8da//92vbb7ggh8FSjdCKd8xUNF1QXfWNkITHHjMRcoLL4PbhXdLMVKrm+hrrgZFwfPxJ9TcdTcZr/yrX1GvufNyhBC8+MDrlG3dh6TIuJ0eouIjueexClIzes5OnDR3IaEUxRy+zKFgG4i/vfouawtLmD4un0vmHE9qUuf24F3PE3o20fEndi+advzM/7qn+fvCBRf8iAUL7g35WMw5+hUa9v+PHRv/Q1PFcgAUaySjpv0MR2wGrqYDbP16IZq3PSNZVuxEp8wkLvMCco4+J6zt7wlbRBwRMXPplG4iSWhqK7tWnROSWDkY+c29A+t9Fs5x0Z9rVl/JTI5mX00Lah8aXPSFMWNG8/wLLzBv3jzeeP01fv2b33L77bdz1VVX8bvf/4E/P/CnoPnv/eMfWbP6q8C14P8rg0gcCkby3YDpHhUUCclXRiYpEkIH2aKTMCKF6IwY4senE5sW/ChD1zRUVWXRP1/nP8+9id0pG0bX6Fx80xXEiWhUoTH+xGlE+owaY1JiSR6dQeOuGpzlLciSjJAkNI+KPcaBrhpt7Dvnu4mgPwfzfcgc8nhU4mJCPxwaW62HqvrmiKHrOskxyUHpxEmxSZx99Nm8uOxFDtR3XTrRFZ8tX97neTPERtKHTCFx6DlYozKxRWZhtScTO/RYdn/zq95X4MNut/U57pQZJ/LSm99y/RWjUTSYUJDIX19+m/nz+zdw7UvmkF9I9RWWIflKwmKio5g2bRoPP/xwn8Qhp9NJY6PhZRNYP/SYOXQwXQk9B2cU+Rl11NABa2X/6GOPBx1Xixe/Q3Z2Nvn5+UycMB63y0VpeTklJSXMPvVU8vLCv/D2FDMtNRWb3c6ePXsoKSlh3759zDkjvGwWP8uWLQt6v+6bDSQlJTI6Px9FUVC9XhqbmikqLmLs2AIy0sP3peltXyNsFhb87GwWPPsueVNPbfdvEf273Z/aobPZvn17Oee00bjbGvl2cwkpKSkcPXUqixYtIjc3l7i4OF+npy3s37+fKZMnc9655wRKG0KhobmBVk8D55w2mrVr15KcnEzBqALeWfwO8fHxTJw0EVmWaWpqYu/evTTWNJKfnx+2MHTw9wvw8ccf+y6NxneZlhDBCQVDyMs0rs11Lf3rgtkVy5YtCzK1XrfuG5J8pt6qpgXapk+dOpUDBw6wd+/eAfFuaHJ6iImws3pHPekJkeSkd84gLatqZUykA6dXoPnOb/0hlKewN505luUb97C72kmjV+D1Wom2eslKcnD8uOF8l3xCp2VycnJQNY377/8TDz30YJ+3z2KxMG36dNasWcuMGdPRdZ2cnByOOuqowL+JqqqUl5ejqhp1tbUkJiUxesxo8vJGUlhYyJdffsGsWb2kY3TDCSeeiNVq6ZPZekei4/KobD2eKmf3/yKnnBLH888/z333BbcXX7hwIY888ggXXXQRF86f3+eyMj+pqan86ld3BMy7+4usRNFYXUli+hCjHNef8iIENocDj9uNpMjgduH632JwuUB2YDluFng82I6dAW+/HVJsSZK4+g+XdZoe4fppr8sO/swhEXT+asXG9T+7gVWrVvHGhyu59fLO2bJdzRNOqdmJJx/fp8/8r3uav6+EcywiycRnnkd85nmBSeXf3kpr414csRnsLfmIjIIHSBh6Ydjb2ZFnnn2GG352Aw/+5aFAZo7/tf9vUvaPiMk4kbrd/yE21chQaqpaRWLuBTQf+JymihUhxW1sagqK8+BfjAeHHad13J5nnn2Gm24Iz4eqpaUFi+XwDs1DPS4ORebQzDFpfPqtSkX9wKwvPj6e/PxR/PpXxtjp0ksu4aWXXuRPf3qgy8xpTdNI6UP29Q+dwSsOdegcJmE8IdHRUV2q4Y+SEkfiyFRa61sZP3FYkL+QEILnn3yO6v01XHbtZXz21yUka7EIwI3KlwuXcuvzv0NIgmFTRxjt7jE8ijLH5lD5XTlN+xqxChlZEmheDWuEzbgQSMZFU5Klbk1vD2YwikEH41W9xEWFXlLW2AJDB3B7BgsHC0M/OuZ8dF0PiJd95eyz+15/X7rqRZJzLyJl+KVU7vgn3qgKErPOImXYxez+pu810HPnzOnXNi7533/45ttCpk5IQwhBTmobjQ31/VpHj4bUPo8uv0CkC92X6WOYv1utVoYPG8aFF16Ipmm9dgJZt24d48cVAEamkCzJ7b5G3bSyD4eBFIbuvrQKqWUD1dVn8cLzC/F4PBQWFbFh/XoWL15MhMNBWno6o0fnD4gwBHSIaRyLN/zs+kDMyspK2lwucnNzGT06n7PnnRWWaOFn2bJlTJ16NPvKjbKOn1x5JZqmsm9fOV+sXIlXVbFaLMTGxXPSiSeG3P2lI8Hf77xO329lpdGaNC09nTmzCiiqqMCalhtWzDVrVvP5559y3yXb2b7Fij1iOrNnn8pF8+ezdes2SneXsmPHdjRNZ8zo0Zx/3rlhdQUEKNlagsWm84uf5JHo/Yj/TZ/OsVOPZc5Jc9A1nbL9ZRRtKkLogsiISLJTs4mxxKBJ4YslBx9LLzy/kPUbNvDJJ8sgcQKyLPHT09t9Yb4rq+fDb/rWFbI7/MdSm6uNxsbG9mOpfD8NPr+hllYnGzZsYPqMGQzJzGRIZiY7d+xg/4GKfscTwjBc1jSjbLXJ6aHZpfLqyt1kJzo4dWIGSfERuD0qH60tJSM9lW17G3l7RQnRdgvZqf0rQQ7lPiEpPpoLTxqL26PS2uamxdlGamIcdpsFSZKIdUwPmt/j8bB69WryRo7gmqs7D8R7wuv1IksSeXkj2bBhI06nE1X1MmvWrIA4tGLlF8TGxFBbV8u2bduZcYxRgqdYLIwcmYfX27eMn66wWPrWha8jzy98jrj4hF4zpDKzC5g9e3aQOLRnzx4WLlzIokWL2LBhQ0jbDIQ+GPexY/MGxiZeQPHKu0BoICkgNMae+ADFX9xFeu41eIsL0VubkS1RWKcdjVZUjBACy7gCrNmH/84s1Myhw4mmaQFD6Yt/9SCpqanMnDmTJ594gu++/BAIfsh02W8fDpqncMWSAR/Eh5sd1BvhHosdEUKlpeYLUjMNMcjjcpKQNfD+LH6xpaOXj/+1/29D+UdoaivpY25H6EbGaGTyNKq2Pktz5Rdhxe0qXnevwxWGANas/Zrho8L3eewPoR4Xh2Jsu/irUtrcA3v2+M2v28dNEydOYPHixRQXF3Pttdd2mveFF57Hbv//2aGsI4NIHDpIaPENvoXPsVagG/1hfZ1AhhydS2ttCx68nTyGXnriHyz688tE22KYN+8s5t98OZk5WQihs694Dxs+Wccz1z1Mq3Bx4vVncOFNlwQEIlmRGTplOPvW7kLytm+HJcJimFxLEsg+yxT8Xcp8SP7dGPjWuoca1asTHR3aYNDp0lCsXXtrhEJSvK/kxB66WNVfIuw2kuJjOsX03xz4haFIeyQvLX8ZTT+0rTwbyj/GGpFBXPqJCAS2yCE0hXiR6ytnnXMBjzzwLfkj2oiKiuDcM7L456K3SEpOGZAUy8CNlhAIn7am68L3INQQgZOSEpg4cSJ///vfueWWW3pc35dffsmsWbPQhUCWOmQm0ffMIT93/u11tu40yon8mUNJKamBErOBKiXrKFyAMagGw1h7yuTJTJk8QO62XcS95+z2AY4/7qGM2XEwD4YwBKAoFnJycno0ig6Hjt+vn66+309Wb2bJyu9IzO3QZdHnNdcf/MLQ7T8+im3b1rG7JpNLL/kRJ59sdFMaNSqPUaPCMwPuil07t/HLq/JIUj9ka2kjGSkTqa+r5/W3X+80bz31lJeXU1FVwelzTwsrbk/HkizLvPT5XnKt7SLf8k3lLPu2PJBw2xZCuVePx1J2Nlu++w7Va6xX9Xqoqa4mOcVoOZWdnU1ZWQjClC6Ii7Ci6oK6Zhd7a920uLzU2mX21LrYuLuBKJvM3ooG4uMiad5YgS5BfauH0ycMQennA4RwsNss2G0WEuOCb/ITEhIoKSkhP99oFmGz2VAUheOOCy17R5ZloqKjycrKwmJR2LdvH3v37g2UI0RFRZGVlcmwYbls2rSZ6dOnIckydbW1fLV6NcOH5Ya+kyFQWFjE6DFjehWH4uPjmTFjBv/973+ZPXs2y5cv56STTuKpp57itttu41e/+hXHHnvsYdrqYMbM2YJsjWf07DMDGS9CCOSINPJPnUtj0fO4NhXj2VBM1Pz5KPmjqLnp5zhmTCd6XMGA+ZMcDg5XWZkQAovFwuOPPQrAw29+ysyZM1m1ahWzJhfw80sNb5+ODwcffP2TwDzHTRnHrZf/gZt/3vM9Sn8ZiOygw0Xt7lex2aOJiB1C5a4vyJn2LwxT2COBoLlyJal519NStRqAmLTjaa7sX6bfkWbbtu14NZ0hOcPxetzsK91B+Z5SVLXvYkm4ZepHmoEWhrri4osv5h//eIHk5BSuveZqIjuY9s8766welvz/wyASh9qRwKibB9AF+F4a7eMFiXlpvmwDHaLkTl3J/vPnV8nUklG8CuUlZcy56ZzAPBPOmc5JPz+TO0Zdi8vj5PUHX2Lk5Hwmz2ovD0gcmow9JRKpUkOSjSwhSZGNbBHDQ9dYX1c1kd/DfuduVz0WC7jaQvtR1jZ6sUbnhrRsTEzwzWxLayv3326kMsuS1GvabkxMNJYeutJ1haLIQXFbWls5ftpYjjt6TKeYm/dsIjMxk2tPu4ZIeySNrY2sKPq8X/FCoeHAMmxRWdijf4IkWWmuWYe7tYxDLTxedvXN/Ov1h7npyuEoss5VFw3n8ecf57Y77icqOsynTj7xRj+oo5hhKG38lSXIyR7KnXfeydy5cxkxYkS3q1u9ejXnn3s2COH/WQYJUP3h/lsvDTKpBkjPm0Z6XufysnDoKFxc/FAOLzw/YKvuFr8gRYs/5sJDHrO7wfyhpqNw0dO+btq6mzfe+5LIuCSqdxcFfeZw9P2pUUdhKEn9kF8tzuTHV17N1ClTe184DNasWc0vrhxBkvoh20obefDtIdx44yV9WjYcoaovx5KmornH1QAAIABJREFU6ZTXtqJqOhZF5uQJmRyVEccbn2+npsnVb5PPg4+ljz/+uNPxpAsCN9Bp6ekBYcjtcrF58+Z+3Vx3XKezqZU2j4YmWwwPBCFodnqMrlmSQJEldCw01zmNBha6hq4LLj6x+/PW4ebLL78gPz+fFStW8Prrr/Hss8/xwvPPc8klF/drPVarFUVRUBQFq8WCV1UZNmwYW7ZsYY9PfJsyebIxj8VCZmYmpaWlREREEBsbx9ChWQhxeG+QnnjySQBeeeUVCgsLWbJkCZdffjnR0dE8++yzANx///3ceeedNDY28vTTT1NdXc1jjz1GTk4OH330EX/4wx94+eWXuffeBYd12/0oVsP/xuLoXOpgcSTj3lyEfdZMrLNm4TjheJpfeZW2NauxTp4EgKuw8LBuLwz+sjI/gW5leHju2WcMP6G5J3SZwRo0z5zQRZz+mkkPRporllFRdBcRMRlsXn4/jphRJI46cl6q9eUfkZw7HxBEJR/tmypQrLHU7O6fV9iRoqWlhaLiYiYdcxxej5t1Kz9l+PDhzDvrzLCzjE2CGTNmNFOnTiUqMjJIGAK4+upruPqaq5k1MzQD9R8K0mB4qpBsSRDzYk5GRUXTNVQ0zpp+KqVrthOZEIXFakGSZRRFIXlsOhlTc3E1OXFqLobPHkPesWPw+NpZV++v5pEZvyNtZCa3fnQ3kTFdD2hdLW387cw/sn/LXqqsDbxRHjwA3PbVd+z+bxEW2YJis+BqaGPX0mJ0TRim1ELH2+ZlM7uwoCBLCrIkISOTWDCEP7x9T1jfyRuLFjF79mnk9qPLBMDChc9x6SV9GyQMFqrrGikrr0bvx7EoSzI5WSkkJ4TunbG+cEePMXWhsejb53ngxw9gkS385Z2/UFEfXJ7w5FV/Czl+d5SuOh+hO0kf+VMsEclExOZT+OEshk64k93rf3tYjPWee+ovHH+0zufrIvF4W8Bdw62/fSysdb7337eZdZzfA0NCCB1dCKOwTEg+PwVD/tq6fSePPvoojz32GOPGjetyfT+58scsuPsuJFn2abJS4Gbv88+WMe/c0FKcF7xpuJ0Xrxo48+lHHrqXBZeUgufAYRNoOsYEaBnx8SGPCfDhhx8xcZLRmr2rgfyh4Eh8vwCLX7iWH89uZWupk4cWZ/LEE31rLxwO1/70OuZO15k+opqHDpMY1ddjaeO33/KPT/eQnNUujkRHWLnkhJGMyorjjhdW07pvMw//sm/XqL4eSx98+BEZGRnMmnkskizz6bJlxsOjDhxzzDF9igmwv6aVB/9dyBM3zghM23mgif+t3svmfU2oOnhVDV3T0TUNTWgIXScrIZJfXTCB3PS+Gz0faj76+GOWLfuUm268gWHDhlFdXc2w4Ufx5ZdfUli4mSt8xsuHgq/Xfs3wo4YTHx/Pyi++4Oyzz6ZwcyHDhuUespjh8ORTT5GRnsEFFxjXjqee+jstra2MHz+et/79b1588Z9HeAuDEZrGrvzRZBduArebxtdeRysvJ/7221Cioqj86fW4vv6ao7ZtHbCYffEc8lrO7ncr+/Nuua/3mbohJTGOhQv6nsXzzn//y/vvfxByvI6ce845nHXWmQOyLpPQKH5/GLru8XXA7YAkI8s2dM016A2p31j0JjabjeHDhzM6f9QPThAqKiri+utvRrIZYoxQ3aRnjyQqvveuuQBttQd44vE/kZHRuRPqQKHrOhlDMjnppJNY9EbnDOwfAmnpGeuFEL3eMA7KzCEwyrtkWUaWDG8ff7Zi4vAUPK1udF1H1VUc8RGs/WI1f7rjj8heuO3uO5AlidFzJnYrDAE4oiMYd/YUKkr2Yfd0zjyJTIpCUiQkWcbisOBqciIpCpLQUCwKaEaKNR3PRcENEMIiJTmFp59+ut+1j1MmD0yL98NJSmIcKYm99EY9BEwZ1/PTXYHg1Q0qv3vZqCfWRHApWYzj0AwAFFs8jQdWs/Prmxl7ygfIigOBzu71vx3Q8r2euPwnN7H2s0eIjEpm9+Zipkyb0ftCveA3jAZfSaZfDBIY2USA5Jshc0gGkydP5q233qKgoKDL9c2YMcP4yfkyh2RJQhdGDlE4orc/U2ighCGAO35zDxf/9Drg8AkX/piLfnP4spQA5sw5gwMVFYdNGILgfT1c3y/AykIHTqeTr3cYIs3h4O677+KxRx7i882HRxiC/hxLEpISfFvR0ubln59s4fyZwwFQLH0vX+7rsSRLRjlZdXU1DQ0NnYSh/pKWGMlj1wf79RyVEcsvzh/L+1/vpWh3HdWNbtyqDkIjLT6S6fmpzJ6cGVbcQ8ExM2aQOWRIoJV6SkoKjz32GLIsM//CCw5p7KE52ST7DMNnTJ/O0k8+JiNjyCGNGQ4XXnAh6R0M8W+++SYW3Hsvy5Yt49bbbj2CW9Y1kiyjJCdTfcONJN59F/HXXweAt7SUmtt+gaeoEEtIXdK6Rldbep8J2LrqTxx1Qv/EoXeeuCuUTQqJ5cs/4/jjj+f8888Paz2LFy/m408+McWhI4yuddPsQOjomouI+EmHd4NCID8//wcpCvkpKCjg3gV3UrbXsG+wWSwcNeKoXpZqJzEp+ZAKQ2CM6d9c9AbTp4c/3vm+M4jEoeDBnKQY5s86AkUyzHx0oROREoOzphld0/BoXhyRETx3899Rd7QSIdl57+E3ceMlY2xWrxHHnTkVTdOR7J3FIUdUhCEOSRKWCBvuOieSbHgBGsNP2TeS7cpzKHxOPfUUTj31lIFZmUlISEjE2GNodjd3+izWEcvFMw9NbW/qqF/jatqGu3Un2764HMUWh64axm+ZEw9PSnJUdBSr1+1H0w5w2twzOWV25+4d/cUwoja6rUhCN3yHROefjJDAEWFnypQpPPPMM8zxGWv7B3x+4eevjz0SmB/8/l8+i+swxKGBFIU6cjhFi44xFzx0Ly88H14mY3/5duO3h00Y8uPf1zsOzT9fl/zijt/wxz/ex89+dnhEGoDsoUP5xR2/oaqq8rDFhL4dS6NG5RHzyTpa9zV1+uylsk0oFiuJ1v6ZWPblWNJ1ndraWlau7Npj4uDS897oyS/ozGlDOXPaUHQhaHNrOGzKYfUX6i9xcXGdsi8vvmg+W0pKwu5a1xsZ6e0385GRkUyePAX7YfQS7C/pXXRKXHDPPTz++F+ZOGFCF0scYSSJIS+9yN55Z7N/zpnYCgpQMjJoW7oUoetYM4cw5MUXByycbInGi3EvsPGD65g0d2Hgb8dpucf8rqfVHHFOP+003v/gg27PF33FarVy5ty5A7RVJqESET+JtoaN3X6WMXbB4d2gEJg0cRCeXwaYU2efeqQ3oVdOPPHEI70Jg4JBVFZ2EipaoKzsnOPPoHTVNmwxDhRZQrYoWGQL435yDG11LXg1L/VqEyfcMIeHrl5Aa1EdDslGwshUyrbt5urnbmXmuZ3buHZkz7ZS1n24BotV4dwb5wd9VrOvik3Pf4lVthKdFsumf63F63ShaTq6bqSQe5rdbFC3Y0FBkSzIGGVlCeOHcOd/Du9gzMRksPO/xW8xa9YJvoGa8GUPAUIPtgjyiUbVdXXU1zcEhB6pgx+UJEmMGJ6L5C8ok4wFLRYLuhCs+GwZ5/4o+DdtYmJiYmJiYmJiYmLy/43vdVmZBAjVaBdulJnICB2EJHA3ONE8KhoaQhVUlVXw6KfP4nV5EALqD9Twx2Nv561HXmHSqVOJ7MZEt621jYd/eh+tJXVglzuLQ/ursTisOKKiOPBNGQiBrChIkoSqg65jbJ9vfhFUUzZ4nyKamBwpRo4cxZbvihhbMN6n5hhZPkbNqBTIIDKEHkF6ajLpqcH1yH5DU+mgLD3f6hBCsPnbDYwe23UpmomJiYmJiYmJiYmJiUlnjlTfwV7x+5H43hntOxFoHtXwINIAHar2GAbBVocNW4SNlJx0HLKD+u3VvPXU6+ha1y3H33r6dRpLqolXYhk7pfNAsnpvFbIso1gUGnbXoCgKkiIjZAlZ8nUukzqOT498BpaJyWBm1JixuL0eGhobEQgkydeJ0PdbkiS/MASSTzDq+J8kyb55/JlEPl1JDtSVsWnTBnQhyBs1+rDvn4mJiYmJiYmJiYmJyfeVQZk5JACEQJJlAha2vrIRoQvQBUIHRcjU7KkKWlZWZGwRNhJcMbz31NtEp8Vx/pUXBDwHhBA4W1tZ8sRbZFiScTjsnPXL4Kwhl9NFw4E60qISqNtZacRUJCSLIQxpCCRN7rePgYnJ/2cUReGkU07jwyX/w+nsn+9IX5AkibHjJzBq1OhA+ZmJiYmJiYmJiYmJiYlJ7wwicSh4MCd00T7AE75OR5JAF8IwptUFFl2mqbqz8eXxN57B8seXEC/FkJ2Tzct/f5H0oRnoms6O4m2sWrKStIhUouVIjrv+dPKOGRO0fEXZftRWD3KcTM2WCpAlZCQkTULSJSRFQpaUTgPQgJA1CHycTEwGI7Isc+bZ5x3pzTAxMTExMTExMTExMTHpwCASh4IRutEJTPIJQxICCQlZklA1Y5qsS1g1GdWrYrG278rpt52HqmpU768kLSude3/8ezxuNxISdtlGfEQMN736awQ6I6eNRlbaM4B0TWPLmiLskpXytaUIHWRZQRWq4TEkG6bTRltzUwQyMTExMTExMTExMTExMTH5fjOIxKFgoUXoAkmR0AEZ4esfL5CtCqLFjdB1FKEQpUfyyWvvM/W0GaQOMdqQyorMvN/M961HZ+FnL1Py4SYkSSJuaBJ5JxTwh/E/o013402XeHL5P4iOi6Gmsobliz4m2RaP5LbSXNuKYpGNWJJiWObKEmgSthgH7gbnQVvfsQTOxMTExMTExMTExMTExMTEZPAziMShgxQVXbT/lQ3nZx0dSfG5QAsJdB2LUHCWNfPVh19wwrmnkJCUELxWWWbIyKEMGTk0aLpDtmGTrKSMycYRGUFjfSMr/rechIg4vPucNG2tQ1JkXwckHVmR0FUZSRbYHXa0IKPrjrbUwkwoMjExMTExMTExMTExMTEx+d4wiMShg/B1K5OE5PMc0pGEglAFCIHQdaP0TNPx7GklOjWGpW99xInnnExqRlqvqz/ptnkIXWfG5SehKDKf/XcpUZqN5u01aJUeJEkyupNJAkmXfZlMYLPaEAI8jc5uMoREu/eQiYmJiYmJiYmJiYmJiYmJySBn0IpDQhhZP+iiva21AGddK7IiI7ya8ZmQsOk2WrbWEZufyMdvvM+lt/wYxdLzrp1xu2GKq6kq24u24dnXSsvuFuyqDZvFikBH0wGhI1lkZFVHibYD0LS/AV3TjHb2PvyvDKckfeC/EBMTExMTExMTExMTExMTE5NDwCAShzp7Dgnw+Q7pyJJhGl2xYQ/Zs0bgdXoQmoYQYNVktCqNpsoDpOWnsPixRTh1F0qkhcQhyWRkDyElPRVJknC2Ommsa+Dbld/grGrF4paI1G0kilgilVgkCXRNR1gldGGUtFkkC1aHjarv9qKqOggdXQ/OD+r4WhemOGRiYmJiYmJiYmJiYmJiYvL9YBCJQ8EIgVHahYzPcAhdEmhuleaKJhxxEbibVYQQRgaRLlCETENRFUPn5lNfW0eby039tioOFJfR4nKi6RqykJB1iUjNTqKIxmGzYxdWLF6fvxC60Y1M01AsMhaHDVmRqC+tQfeKdi8kITq1sjcxMTExMTExMTExMTExMTH5vjFoxSEAZNknwshIgCQZolFTWR1RU7OhuYP3kO8/WUhUfVVG+pRsVDTaWltxyx7aJDdC0xGaQBESNs2CIhQUXUISvmwhoYNiCD6ypGBPjKT5QBONe2rRXKovI0ig6xpCkpAV+Yh+PSYmJiYmJiYmJiYmJiYmJibhMmjFISEEsiwhGe3CEEiBTB1vm4eWA43YYiPwNhtt7RGG2w9C4K5qoWxpCQlHJZMwMg2vV8XV1IpQ/SbWAiQBmpEpJHQBigyyhCRLWBxWQLB37S68LR6EJowyMl332U1LRsxA5tDhyyDasWMHkRGRpKSmYLVacTqd1NfVEx0TTVxc3GHbjo7s3bsXSZLIyso6IvEHmubmZrZu3UZLSwu6rhHhiCAjcwgZ6enY7fYjvXk/GNxuN8s+XU5zU1Onz84//zxsNtsR2CqTvvLZZ5/T5nJ1+3mEw8FJJ514+DbIxMTke4nLq6H5srJlSSLCpgzIemVFAbUK0boK4doW0jokRx5S3HnoQR1qTUxMTExMfpgMXnFI98kwkiEKCV/HMoSC0KGxrJ60cVFIsoSu6+3L+IQize2lpvgAtSUVxOWmkDo+E9WtorlVVJcXHRUh6UiSApKE4rAidIGrroWaHZW0VbTgafMYXcp83dF0IZB87kKS5PMk8nE45KF9+/YZsRSZ8vJysrOz2bZ9O/mjRuF2uzmwfz8ZQ4Ychi1pR9M0mpqaGTUqjwMVFSTEx+NwOMJa5wcffEBbW/eDzu6IiHAwfcYMkhITQ469YsVKKioqyMjIICYmGgCns43vvtvCmjVriY2JYdLkSaSmpKAoCkIIGhoaiY+PC6vM0Ols49NPP0UI3XesCxISEph69FSiIiNDXu9gprKqiuamJvLy8rBZrYHpbo+HqqpqsrIyj+DW/TBY9dVXuLoQcBwOBzOPPTasdbe5XBSMHYvVZsPr8VBUXNzpvYmJiUl31LR6+WJbDZvL6nG2edF0HassMX5oDKeNzyIpJsyHMWoVov4NhN7/+wk/wrUNKaoKpKTwtsXExMTExOR7wCASh4IH1kIXRtmWICASgZHpI+kSmlulYmMZsUMTQRPtpWUAmtHFDF0gVEF9SSV1xRVGBpIQPhFJ+JKNfK81Q4zyTxe6QNdVhJDA131MkvzG0xJIIAf1KDv07Csvx+1yY7FYiI+PY/ny5URERLJu3TckJiaQnp6Oy+Wivr6BxKRE7Ic486K1pYXtO3YyfPgwyvbuJTkpCYvFQktLC83NLWRkpIe03pSUFGRZRpJlxo8bFxD/ukOWZTZt2oSu6yz/dDkXXnhBSHFXr17DsGHDGDZsGLquowsdTVWJjo4mNTUFVVUBqKutpaa6BlXTsCgKsizx7aZvcbW5mDPnjH7FXLduHbW1deSNymPcuHEBM3PNF6tszx6cTicNjY04nU7cLjdWqwWL1YqrrY3Y2Dhmzz41pP09EtTW1LB02adB07Zt6/xEd/v27YHXMbGxzJg+jaSk7/fNeUVFJboIfvosSRKxMTFERUUPWJxNmzYzcuQIAFwuFyccf3yneVasXInT6QRg+/YdTJgwPqRYVpuNpsYGYmJiaGpqwuo751h7OPd88MEHzJo1i9jY2JBiDmaaXYIW98BcD2IcEtF209fO5IdJvdPLLxcV8ej8sazeWklpVRNC09A1jeLSCl5bUcIDl81gfE7o53299sV+zS90YSSEH/SgR699DZJvCXk7TExMTExMvi8MGnGo0y2wbpSJGaJQ+6c6IEkicPFuqWwkNisBb4vbMKcWHQQeQ1nyvfeVj4lgAcj/uS70DvMKELoh+Ui+rmQCnybkF6naRSP/xz3sTdi43W40VcPtdmGzxVBVXY3VagsIJx6vSlFRMZMmTaS1tTVkYaY/7CotJT09HbfbTWJCIqWlu0lJSSY6OhpNU8Nev+TrUFf83ZZu54mNiSYnJyfsWAcqKtm/v5zMzK6zVQ4WqGRZwia3/3ySk5LZurWE+voGEhLi+xSzqrKK3bv3MGXqFGxWK6pqCAfCF0vXdXRdx+FwkN5FNpauC3aV7upTrN4oKSlhy5YSAEaPzicvLw9ZHnhPrbVfr+v3Ms1NTaxd+zVz584Z8O05nOhCIyc7+FjdU7aHpuZmgAEViLZv34Gqeo0Ye/YM2HoPxuvx4HA4qKyqRteM85Pd7sDr8XQ5v67raJrGRx99xPz58w/ZdnXE1VTCzlXz0L0t/VrOFpHOqNkb+7XMa9+4SYoKLomJdH/V5+Xd1hFocioAdS0q1x8X0a/4AFtKttLS3LlUsyeio6MZPXp0v2N1ZN26/v+2jz766JDjOZ1tbNnyXa8PDw7GYrUyaeLEkON+t2VLl6WwPREbF8fo/PyQYx6pfT2UCAGqqrKk8ACVjW2Gl6OmIdDRhYaua9S1hJ7x01927anH49EYkhFDbJTtIIGo6/OZiYmJiYnJD41BIw51RMIoq8FXTuZvY++bhJBAQqALgfBqCCFQHBZUp8cn9PhEIL8ARLtxtRC+EjXNJwZ1zCbqKC4hAhqP5MsUAmM7/MbUSNJhcxsqLS3F4/VgtzvQdUFbm4u42Fg8Xg9xcXE0NTbS6nSyZUsJ48YVHPLtqa6uRlEsREZG0NDQSEpKCqW7BbW1ddTUVDNuXGiZCF0xcsRR3X42UAJGRcUB0tMzAAJZQ8Inzvj/6wlZloiJiaGquqrP4tCatWsZMXIkNqsV3SdQ9jdmYkLoJXQdKS4uDnhGFfvKgfLDGMx0R1M/B1XhLrd06dJANpiiDIyPRV9Zv359p2mVlVVkDx1Kenq7eJuWmkZlVSUwcAKRqno5/vjjKSsro62tLTB9z54yZFkiPS0t7BgRDkegdKyuthar1cr6b9YT4SuDjOhC0Ny8uZDIyEjq6xvCjt9X9q67gpETZ5OYMSIwTdMEbS6N6KjOl0AhvAjdxdr3n+13LCEEp4xtF3Q8dSsQFY/1ZUmE6qbNHUHC1CUALFrb3O/4hYWFDB2aTeTwYX1eRlXVwG8+VAoLC5kwYUKf5+/L+a0nNE1lx45tZGVlkZCQELReVVW79Cvzxwx3X4dkDCHyqO6vSV3FLSoqCjleT/va3fVvoPb1UCIhELrGhxv3oXm9xrVPM+7ndE1H1zUkEV4Wnu4sRo4c2/3nqo6q61z/qw9o9iTy5Zdf89WSq7BZZRx2a/B6wtoSExMTExOT7weDThwy5BYJTejIsmLcMBh21Pjvg4RP+EESyJJMa1UTjoRIZLuC6lQ7iD0dsoECntV6QAgSwihF8/sZCX9Zmi9DSEjBNyb+bCS/D5Iv/7hDNpFP2BrgMrP6hgaaGpvQVBVHVBTNzc1oqoqqqjh8BsmtTieyBGnpaUQeBo+aPbt3M3zECFqdThITE2hoaMSiKKiql9ycnLD8dw5m79693X4WFRXNkCEZYcdwu91YLEonYQg6Zw11hyRJaGrfTSudTicpyUmGMNTPWH6iY2L6NX93ZGVlER0dHXj9zTfrWbN2bbfzn3DC8QzL7fsA1M/FF18U8jaGQsG48axcsYINGzYwbPgwjp7a90wFTdPQdR1rBz+k/nB8F+VcK1euZE9ZGUBAILLb7YdEIALIzs4Oel9ZWcmECRMoLAp/0NjRbPpf/3qF008/naVLl3L01CmkpKR0mr+6uprt27cze/ZsysvfDTt+nxA6SZm5QcIQwDebG/jFPZtY9e6JB83uQtedCK2NcNGdu3GV3k3BMWcGprncGg57Z5FS89bhaaujZGPo/y6lpaUkJycTGRmcbVRYWEhaWhqpqanB2+c7x/nLZcONezBVVVXdxgxXHNqxYwdxcQlBYglAeXk57y1Zwo033NAprqqqYcUEY18Pzi7t7fsNJ6YQosd9HTp0aKdl/PsZ7r4eKvbWtuHxXSfvPW8MYOynTVG49+11VNc70YWGpuuAhCRVImkqupwK9P9crDuN39TBItFtd31MrEVm6/4mVMtQXv/PG1w472xcbhVNI/A00r+8iYmJiYnJ/wcGlTgkI4MMii5YX17MlCFj8Hi86L7yLUN88WfvgFA1VFXD6/HQ1ugML7gE+O7ZDaNpKVDWZMTWAzKQjIyiKEiyjIKMJMm+zwY+j+hARQVle/bgcrmJioqisbERr1clNjYWh8OOLMtUVFQiSyArFnIHoMSqN1Svl7xRo2hpaSExMZH6hgb2l5ejqhoTxo/HERGeIfXB9NS1ymJpH2h5PF5yc3Pwer39HtAPyRjCps2bSElNDcre6c/ASVW1gFjXFyRJCpSS+f2N+jugsAxQNszevXsDA419+/YxdeqUQ5I5tH37dtav39Dv5aYePZUR/Xha7ycjPY2LLpqPEIJNmzaxafNm9pfvZ+LECWRkdBYVPR4PhYWFVFVVk5JqmI6vX7+Ba6+5ut+xu+O4WbNobGxk7ddfM33aNJqam9B1nfj4eOrr6wdUHDoYm83Opk2bACjZupX8UaPCXueHH37EueeewxdffMm8eWexYcOGTuLQV1+tBgTz5p3Fp58u59xzzwk7bm80HHiPqu/+wORTfkJFpZv516/h+BnJrFhTwyP3jEfTBJff9DVuj86iZ/J4+/0D/HNRDQV5Fgq3ellwaeixG7+dz/BROeQecyY3/GYjbo/GdZcP57ttzXz+VRXnnDGE8+ckoWtOPO4W9h2oIyO+gY6lyv2htbUlIFo0Nzfz9tuLsdltnHvOuWzduo2NGzfS1NzMz66/HjCEi/LycqqqqhkzJrRystbWFkpL95CXNxKAl156GZvdhsftYf78+Xz00Uc0NTeTlZnJWWedRXFxMevXb2DcuHGMHjM6UD7bX2rr6sjJyUWWZZqbm3nt9dcBOOH4E4iOjgLg1ddex2a1cv755wXiApx33rkh7msrO3ftIn/UqKDv1+P2EB0dHfh+/fv6r3+9AhDY11D5dtNmRuePCuzrmjVr2blrZ2BfFy16E1XTgva1bO9eqquqQ97XQ8Wu6lYe/ngHjS0udE1D0zUjo1vTUL1eX7aQihA6mteL0URWIdL9JpK3ATQPbvsZeO2zQorfUeR56M3tbB1ZQ7nLheUTlQq9jh+fO5HrLxjKZ5+vJSpSITcrihE5kcTFWImKHFS3yiYmJiYmJoeMQXPFkwI5QyDJMq3uNr4uL2JG1jijHemgwMgI0jSd+rZGiqt2GFlE+La7G3GodOf2oPfDjhrZt2hCsHPnDiRkvF6PISBoOna7DVmWsdkdVFcZwhBA0kFPFg8Vu3aVkpSchN1ux2azsb+8HJvNTmL/U7ZSAAAgAElEQVRi1IAKQ7qmUl1TQ2RUVI/zVdfUoKqGYDZy5AgaGxuwKFbi+1jeBZCVlcmaNWuChCEwBJ+WlhYam5poamxEsVhITUkhOTnYJNPt8dDc3BxULtQbcfHx1NXXER/f/Xa6PZ4ejcVdrvAzHAD+j737jo+jvhP///rMzDb1uurFlm25yN3GNraxwQYChA6BS0Iu/XKpl578kiOXcrnkcuWbXC6Xy90BSQghhNBDCsVgGzDY2LjJlot673XrzHx+f8xqLdmyLcmSEeHz5CG0ZXY+M2tpJb33XULhME3NzQgEixYtYt68eaPuN01rVCBusiaSWTWSPcnHDRNCsGzZMn7/+9+zePESamvrqDpWxcoVK0kekX3V0NBISmoqK1euBJw/tN94Y/8FrT2S2+1h+/bt8eu9fb2kpZ769+/p6Zmytcaydu0ampqaiUYj1McymC7Ugvnz2bZtG8mxBtNLliyhoaGRoqLC+DZtba1ceeWVAPgSfGzbto0bb5x4gGgir6UdR75N6UJnIpvLJfjWlxbS329y9IRTriUlfPvL88lIsTl+ooM/PN/DB+/wcP0VNo/8YfJZF0PVP6SgOJfEVCdAds3luRyvHeSpZ1qYXZLEF/6mjM998zBbL4UEX4QHHo2CaxU3rn8E5OTWratviAdPbdtm9SWX4PW46e11yvfKy+ezqGIRDQ0NFBQUEA6HaWxq4obrr6e6enJ9y+rqG+KBISC+5jPPPktvb298zYd/+zANDQ3s3r2Ha6+9lpPVJ0dlZk5UU2MD8+c7ARddN7hy61Ze2fUqTc3NlM+bi23b3HLzzdz38/vo7OyiquoYy5cvwzQthgKTexOpvr4+Hkgd+fw+8+yzJCUlnXGuW7Zcgcvljp/rZBUW5MdLx3TdIL+ggLb29vi5XnnVlfi8vlHneu1113Kk8sikz3Xk99j5fleZyLaHmgYZClmx7NzhwSDDmboSie0EhmKlZUhBok8DewjsKFhhtOgJcK8BMblsToDXD/ayM6OLgQELU5N03GxR8utBEjzZeD06f9iVwq233sqDT/6Qu24ppqxEU8EhRVEU5W1jhv3EEwg0NGwQGqFIiGerX3F+UZiiYq2z70Oe49pw1pJEyNhRCg0NgSYMiIeHhgvLRltQMboXQyg4vl/aautq0XWDSDiCbhgEgyFs2yYxMYlINEJgaAjTstGE84vjgoVTn+lxuv7+AYKhIENDAQoLC6ivb0BoGoahM2vWxMuMzqelpWVc24VCYQaHhgDIzc3B7ZnYpDZN01i9ehXNzS3xyWS9vX00NjaSlZ1F+bx5FBYWEAwG2b59B+FwiLy8fDRNMDg4SH19A8uXLyMhcfwlfeXz5nLw0CGSk5LQNG1EtpJFb28v/QP9BIMhLNMkMSmRHL9/VMmgbUva2tsndJ5nPZbyeWeUXIXDYerq6qmrq6O1tZX3vvc9F1wuOBw8XLRwYXxfwyPQAdo72mlv76Bi0SKklByurATAM0VBxyuuuIIdO3aQl5fPvPy57Nr1KqtWraK9rY3mlmY6OjrIysqiu6ubgcEBqqqOnT645oKMDM64XO5RgaHpUFtbOyoIVFxcTGlpKcCUBYdKZ5WSm5vD4088SSgUxuv1sGvXLrKyrsPn8xEMBlmzZg2GYRAKhelo7+DGG66f1FoTeS3NXvD31FZ+jYy8eZysH+R7/3GM999RTHbmqey+pIQQbiNCT+8A3b0mPreJbYZYsSBMb+2kDpHE2Z+h7pWNJKdn4vL42Lm7k5xsb2zyJSycB243DAX68LjCBEMeNqy7mtrGX4+YgDkxJcWnyou6u7vZu/d1li9fjs/nvF4kJiXi9XgIhcKYphXvV2OaJoODE2vUPXLNY8eOxwNEw2saujFqTbfHTSgUdnrmeT0UFhQ4pU+T7CdTUFgUP/7unm5efHE7GRmj3xjRNIGmaQwNDRIKBTEMg4yMjPixTVRxcXE8027k83u2c01NTR11rpPV2NRMcnJy/FzNaISkET9j3C7XGedqmSZ+f/akz3Xk99j5flcZ77aWLWnuDcSzhWzLAmkhbcvJGJJOjyHLsmPBNEFRdjbz/c0QCYCMgh1BjzYCUSZTXjYsOGRiRyUh3SJq2MgUqPm8TeAH7Rys6ue+x//A9+/+J9JcGpZlX7S+koqiKIoyE8yo4JCGIFZlHsuG0UDqyOGJYWcN7Zw+Un7kj/Oxgz7i9HvkuYND8ZWEjGU5aSAEwwVl5zLeYNBIgWCQ9tZ2bMsmHA6RnJxMYCiAz+fFtm3cLjd9/f1owjn0oqIiEhLOnWEzFaqrq8nPz8Pt9hAKhejq6nQuh8PTst5433U1LRO3y03UjLJ//35yc/OoqDh7I8qxzJo1i8rKI9TW1mLEMoRuueXmUSVqHo+Ha655By+++CLHjlWRlJTE0FCA1atXxf/oHq+SkhLa29s5cOAAxcXFRCJRevt6GRwYxO/3s2jhQkpLSwmHw7S0tPDaa7tZtMjp0RAKhWhpbZ1QGdvZhIJBKhaNbmLe39/P73//NHn5eZTNKWPRooWEQiE0TeP1vXtZvmwZPt/EJyl5vc5jyueXx8sFDx0+TEWsifqhg4ec4NDiCsLhcDw45B2jufH5HD1ylNq62hG3nPqur6mp5viJ43i9Pvbs2U1JSQkLFy7k8OHDHK6sREqJYRjMnz+PNZesnfDaw84VnAE4fsJ55z01NXVaAkWlpaUT/rqcDK/PR1lZGVVVR1m6dCllZbN56aWX2LJlCy+99BIbNjilIFVVRykrK8M7ia8dmNhraVre9YR63wApOVkzhNej4XZrVNcFkLazn+/9RzXJifCFj9hsWGnzm6ckPT0m//dwMt/7wKQOEYD0lY9xeNe1LNt0K+0dIXp6oyQl6kg7xKe+3kxZiUZ68gC2GSQlwcXssnKeOZDGrIzJNepOTEzi5MmTFBUV0d/fjxAaA/0DpMayud54Yz+dHR0sXrIEWzqBlXAoRDgcjmcXTWbN7OyseEnq8JqRaATLMuNrBoYC+HP8FBYU8NLOnQCs37ABa5JBk8yMDCorjzBnThldnZ0Yhk53t1OOOZyNtGPHTgzdwO/3U1hYyMFDh+jv7+e6a6+d5Lkmkuv309DQMOr5jUSdKVann+uO7dvjGT/rN0yuDAogOyuD6uqa+LnqhjHqXF948UW8Hu+oc62sPML+A/snfa4T+R4b77aWDUOhaKyPmwW2M7LetGzSkwxKMtKwbScwJKWkMCuVOy/1kmk/BHYIbNPJHpKdIMMgJtdX0bYlXd0RotImYFtEDBsZex+p7YuSlH8K8uVPfxEteJx33zWbfL+XBO9MyVxXFEVRlOk3o4JDQKynjxMk0oTmNJSOZQ1NTZvnsfdyevPpsz5WDk8vG+4yJEbkDGlj5jdNpqysurqaqGUSjUbjE8qEpuHzJTgTypJS6YtNcNINnfLyeefZ44Vra2vD6/PidntIS0vlyJEjaLqBpgkwp7YJ90RpmkZiUmLsF3aTSDQ6qf1cd921WJZTwnS26VYul4utW7fS3NzMQH8/cyc59l3TNNasWUNhYSFv7D9AUmIiFRUVFObnoxunvjU9Hg+lpaWkpKSwfft2pJSYpkVFRcWoso7JOlR5mFUrV8Wvm6bJn//8DKtWrWTWrFn09fXx/PPbuP3229iz53UqFi3ijTfeYMWKFXgmGJzyeJ3tI+HwOXtJgdP/Z9hkgmBlc8qoraslISGB1LQ03C4XaenpeDwe511+t5tAIIBtS2pqazl8+DDLli9j8+bNUzYF73zBmdNH20+104NTw05vVD0VKhYt5PEnnqS8fD7z58/n2eee49FHH8FwOf/OoVCY2tq6SWcNwcRfS3Pnf436qju4busq2jrCRKOSr31mFvnZET58Rwrz58ArrwcRcpAP3hri2ZfhyEnBdz5TC5MbkAeA5s4kcd6/cGzf9/iHL66mIEdgmkNoBNm4aoD87DC21Ye0AswpsYnU19Nf44ULqAzWNI2uri4WLVqEbhikpqSQlJTE2nVrkbZNa2sbbpcr3tsMnCDz4ODQGU2sxysnJ4dAIEBXVxfLli0lNSWFkpISfD4vmy7bSGtrG9deey1ul4v1GzZQfbKaoqKi2DFM/meGrgtaWlopLy+P9/rp7+8nKTmZlStWEgwGuPbaa7FtmyVLlpBcU0tCYiIu18QySkfy5+QwFAiOen5LSkriAwxGnmtBgVNSOXyuw0zTxDDG/2tXQUEhQ0NV8XM9fvw4l1++OX6u88vLaWhoGHWuu/fsYePGyyZ9rtNTViax4pNhnbIyTcC715fy7o0udNEUG0XrTIzVoodxBfcjzQhCRsG2wA7Hsjgn/3WjaYKsHC+N1SFk2CKSOPrNp/6vQvf9lXz1b+eSk+khLcVFgk8FhxRFUZS3jxkVHBoOtdhIp7QM4SQPARCbUDauXwxGlnidnhEkxtxyrP3K2JS04cunysecHiYagDzVc+hsRzbeHkMj9fb2EQ6Hcbvc2LZNb28vaWlpRKIR0tLS6ersQBOQlJTMhg3rz7qfnTt2kp6ejtA0pJT0dHezYePE38msra1FSvD7/YTDIfa9UYsmBJoQ6JrG8uXLJ7zP8TAMF3PnOpOG3G43oVBoVODHMk0OHDxIRkYm3d1dhMMRymbPovwCGu2ea+T5oUOH0HUdTdPQNI0VK1eyd+9ebNsmGArhdrmoqKg46+PHUlBQcMYEnJH+9Kc/UxwrGykvL6egoACv10t9fT3Hjh2jpraOa695x4TWHLbn9T2jkuZM0+R3v3uEFSuWk5GRwcMP/w6Xy6CkpJht214AnMl4q1atmtQUr7TUVAAGBgfPO2ltuNxF0zRSY4+bCJfLxTvece7nJSWWWVFUVEhHWyv9/QPs3r2b/QcOMm/ePJYvWzqptd+OvD4fN95wPY8/8SQ33ngDC+bP5/iJk8ydU8bhw4fxer0sWbKYuvr6eBllTk4u1TXVeDxuFi08f6bfhF9LhUZC/rc5svN61uTGyqc6oKkDKtKBLthYCgechBaKPVC8EOgHl/fMiWsT4cncCJkbCTb8kuqRAxcNaIq1lmp6ajftj7xO9iU/Ju1AkKOPucDYxIY/vTjh9YbLeiuPHMEyTbq7u+nu7o7f73a74v2Fmlta6Orq5k9//nO8z1V1dQ2XbdpIXu7Epj8Or9vY2DhqPXBeT/Yf2M/Q4FA8u/T4ieN4PV5SUlPjr2sTVV4+n0AgyJEjlaQkJ9Mfe6OksaGBhAQfCQk+Dh8+TGmpE3xNS0ulqKgIr9dLMBjgyJEjk3rdnDWrlMojR4hGInR2do66zzB02tpaOXFiIN7sPhwO4XK5SUhI4MiRI4DzJsvmzZvHtZ4QYtS52rY96lwBMjMzGRoaJDExAZfLxaXr1sUfX1paSmdnJx0dnSxYML6y84l8j413W7ehUZzm4bVoGDMaRQiTr9+wmvVl9yOGgk6vLWnGMoRMsINgWwhpxkrKnJ5DprsMxOQb9u/c08W7PrEH+VXpDCAZI+nbPWgRClskJOj4vPqUTl5VFEVRlJluRgWHYDggA7EOP7H/x8I0wrl9fMRpn0fuX4wI9sTWk2fud3QW0HBQaPha7LGxN7vEOcJDk8kccrsMwiEZ7yVgWs7o+qTERCLhEJGoidvlYuF5+gxlZKTT3z9AYlISgwMDZGRmnnP7s2lubqaiooLBwUGysrJobGzE7fXSPzDAggUrJrXP8fB6PdTV1QFOYCo1NXVUiVFjYxOaphEJhwiHI5hmdFp6Hw0LBoNkZGSMum34nWDDMCZdonEuhmv0t+nQ0BAJCQkUFhbS2NiIZ4L9lYaFgkFOnDjJjTfcEL9NCEFychKdnV3s2fM6Ho+b9IwMmltaSE1J5dJL1004W2ik4V+0R2YFnU049sfkZErKJiorM5MtW7fy8MO/o6SkhKLCQiorD3PixAluu/WWczYNP5dzZe6UlpZSV+98bb8ZZWVT1XNopOHyMnCyJoYn4NXV1Z2RMTF37lwSExPRNEFVVdW49j+Z11JvynwWXXP8vNtNF1/RXWPfYdt07ngUjy8Bl9tNckoKwUAAzMllPQ5buODc07Gampo5cuQIOX4/GRnpRCMRBoeGCIaCvLTjJW67/bZJrbt69ameZZ2dnfzh6T+QlZ3N3DlzyMvLIy0tFSGcNyn6+vqoq63jz3/+M+vXryfxPEMHxpKQ4Is3jh/Lc88/PyoDcPh1s6Sk5IJeN8/1/EopefbZZ/F4PBQWFsZ7PgWDARobG4lGo0QiE//3Pd+5VldXnxHE0HSdzIxMotFIPKA0HtPVkLo8Lxm3EJjSIhyFnEwLYUac38SGA0C2GQsSRejpk1imRVZqxLlNmtjehSAmn/31vf+qdgJDAKclh/71vUnsRrLx6mzmzkomNcXA7ZqaDFJFURRFeauYUcGh4WCMHSsis7GwcNKMx581NL41HKMDOmPlDo28NLK3kIgFq4QcDjWN3YwaJt6QOhqNkh6bPBYKhbEsG5fLjS1tDJebttYWNAGZWZlkZJw72DN/wQJee/U1erq7cbldLF6yBGsSf3x4vF4aGxvjfY3cbg+RaJSCvPzzlgddqEBs6srAwOCoLI5AIEB3Tzea0Ojr6wPAjEan/XjmzJlLe3tb/N8oJSUFvz+Hnp6eaQkOnW5oaIj09HQMw6CwsJC6Sf6Rf6jyMGVlZaN6B+m6zpVXXskzzzzDipUrqKupZWhoCJfhwuf1XFBgaKTIOHpUDQeQpmrN89F1nYKCAvLyclm7dg09PT387pFHePSxx/jA+98/qX2+ncrKhlUsWhhvTD3s9DK9hMREEhMTCYVCdHZ1jXvfk23uPxMFGhsJt7ViAk0NDXR2dMTvs4PT08MN4HBl5VmbQQ8GhqZkDduW3H77bZw4eRLLsqitqyN6LMxQMMSs0lJKS0tIW5ZGS2sbQ0OBSQWHJmqqXjfHo7CwEMMwaG5uIhKJkpeXS2FhITU1NdO25khut5vMzEzcbjcNjeP//oLpaUgNsLQknY3zcnl678nYxDIbsONZQU6D6gjCtsCK0NZl8F9PZLNyziBXrWgn219C1LdpQucy0onaIV6//tRz4f+BYMmaLPw+F9GoReMsi09dW8C6FekYukZKkoGuq6whRVEU5e1lRgWHAGycAI6NjTfZx5KNy3D5PBhuHcPrxpfsw/AYuAwXuseF4TbwJHrQ3Qa6S8dluHAleNAMDcOtI3Qdw9BxuZ0SGMu2sU2LaDiCGbGwTecjNBTCMi2siIkZsbCiJqGBANFoFDNiEg2bBPuHMMMmkWCYno4e6o/UEB4IcSooNNxOe7SJ/gETCAQwTZNo1CQnx4/b7cLtdjI4ampqsCwbXddYMP/8aeKaprF48WJ27drFpRs2YFmTawKakZFBjt9PY2Mjhw4dIjk5me6eAMUl0/dH5vm0tLTQ19dHUmIiQ4EAhu5MF5lunZ0d8T+uu7q6KC4uprGxcVoDQ0VFRaMyL4b/2DYMY1LBsLGyhoa5XC6uvPJKzKiJz+uhsvIo0WiUto4OXn3tNdZccsnkT2R4/XFkDkXCzjaTaXw9WatXr+Le+37O9e+8joKCArZccQVPPvXUpPd3vsyh6XaxM4fAyR7af+AAS5ee+sNxZHAoLS2N/Px8TNOkoaFhQqO+38rBoNNpbhfDb1DUnRY00Izp63MSiE117Orqwrbt+JTHqeT3Z/PiCy+yctVKNE3D7Xbjcrn5/dNPU1lZyY4dO6hYXMHyZcumfO2Rpvp1c7x8vgQaGxsYHBwkLy+Prq4u8vMLJlWKO1GJiYmkpaVhGIYzFS7WQ2+8pqMhNTg9JD+8dS7lBYlETJuMRI+TJWdHwI4gpUk48V1IkoAoWUaY1UsPsudAI3uOJ/OpT3yQPGNyTbl6+iLUNJ4KuC66P5FNd/i5YWsuyckGmgCfT0cXguQkA5ehOb0UFUVRFOVtZkYFh+zYfxaSucvm4k3yMdA/gBYYQjMMNE1Dd7vQDYGh6+guHU3XMAwXwtDRDQ3NcG7XDR1d1xC6jqaBFvsFcXgihhV1pmVYpo1tS8xwBNu0nQ9pxQJIUczYNtKWRMMRbNPEMm2EDnOWzePAjn3xiWWn+hNdmO6ubgYHB/F6PQwOBcjNy8PtclFTU0tyUhK6rhONRMZdbpOYlMiWrVucK5McH5yUmEh7ewcdHc50mN6+3ikJEowlEAjGsw5M02Tx4sUA8dHLtm3T19+Py+0mPy+PxqYmPB43mqaNGvU+XQYGnN4ltm0TCoXjt53eb2OqtLa20tPTS+KIEcaapuOOBTx7Yz1DJuKxJ57gphtuOOvUqGAwFAt2aeTm5lJRsYg///kZAoEAjz/xBDk5Oaxds2ZS5wMwOHD+8dkDsZ5DaRex54/H4+FDH/wAx44d4+VXdhEOh1i3bvLTys6XORQ9rXF6fl7+pNcayTBcbN++/bzbTBddN9i/fz9Lly5l//79aJpGaWkpvb29eDweDMPghRdemLb13wq8uXksvPs7HP3n72CHgkSBEGC4XOCavh/NaWlp9Pb1Ykubru7RWSXWBAMJZ/O7h3/HrbfdCkDVseMEAgFefPEF6urquOXmW8jLy6V83jyeeOIJrrvuunP2eZus6XjdHI/GpmbA6S104uRJEhIS2bHjRdLSM+jt6SYSmfxo+7Pp6+ujr6+PgoICDMPAMAwaGhupq62d8rUuhMvQuGKx06wbux/6BhAyAlYIIU28Pf8D0iTiu4Ks4FPcet1nuen2jwHws//5H2pq/o8773jXqMDzeKSnutmyNpv/fHYJxQUJzLnHyVRL9Om4VOmYoiiKosTNmODQyIlk0rZJTEkmEArichlOr0IpkbZESBtp60hNYlt2bMIFYEtsSwI2mq4hLRvfrFQ8OQkITYvX48tYcCTcGqDveBfSlkjL+XDSlmLTNOzhyRogpHTefYtfdz7CkYizjRhZbnbh+gf6iUZNSktLyM/Pp7KykuScHCco09tHaUkJc6dgStVE6IZBS0szmibo7unhmvM0+r0QgUCAnp5uhNAoLDQ4cODAGduEQmHmzp1Dc18/Xo+X9vZ2vF4vl1566bQd17Di4iIOV1biz86moCCfg4cOUVpSgtvtoqmpaVrW3L7j1B/6yUlJbNi4EXC+BvsHBia8v/J55WcNDA0MDHLy5AkyM7Po6uqkrKzM+YND1wkGgiQmJFBfV8fiiopJl4OMq+dQbBuvb/p7Do3kcrlYtGgRixadv0HyuZwvOAOcs4/IhRhu4v5mGZ5cVlxSQm1tHbNnzyI7O5vc3FyOHj16Ucov3wqyN12O5vHy2je+AgLScguo+MKXp3XNVatW0tbWRjAUjN/m/LyzyUjPOMcjx+/SDesZGBggOTmZjPQ0hgYHWLd2LXPnzCUpORmvx43H42HevHKeePwJ5s0vZ9HChVOy9khT/bo5Xm1trSxbtgyXy01zczO2LemeQPnkZAih4ff7OXbsGBkZGTQ2Ts/PoqkkbRtkFGGf6iskpUYk9T3ogV2g+4hGo+zZs4eamlqKiorIzc2d1FqaYbF5bRYpSQa2BF0T4y8bExcve1VRFEVR3kwzJjjkkNixD03XkKaFpWvomkCaNtIFtiXRhRMYEkIgLYllWGiWRJM2ltTRNIHu0/H6E1m8dMmY70ru27MPUQdWv5NBZJsWuATu0kTcuT7M7ggdu5riQSfbBtu0kVI6pWk2SMuKBbWGs3HOLCmbjKHAEKtXr46noIfDIcLhML19faxbuzY+Yeli6u3txbJsLNPkyq1XTuta14xjgkxNdQ3hcITA0BCmaXLzzTdN6zGN9PrrrwPQ1dlJTk4OXZ2ddHV2Ttn48/PJyvbj9XgIRyJsf/H8AYixLF9+9nKOkydPngoMzSkjJdn5ertiyxU8/9zz9Pb2snLlygvqE9LS0sKDD/4mfn3k5dOvX4yG1NNhugI/52O4XBw/fmJC2081r89HTo6fl3buJCfHT3a2P95jKDMri5Mnxn98byVJXsFvd58/K24UfTHiO78HYBBoCQK7B0n2TE9ZS1JSEpdtuozt27czNBRASqesLyM9g+uuu3ZK1sjLzeX++3/FFVdcTn5+PsFAkK7uLvLy89CEYM6cOei6Tl9fHzfedONFee2citfN8Tp+/ARJSUksWbIkdv3YtK4HkJWVRWJiIrm5uZw8eXLa17tgIoGoezHu4E6QkVhDamdqmbv35wSjPp7Z3smuV/+ZQCDAhz70QebEmt2PewnfcmRwX/x6RpobKaUzqGwCU8iEd3yT3hRFURTlrW5GBYdsJNgyHnCRtgW2C8u00FxgmwKp2UhbAyGwTQspQdMF6BLQEdLCBAzhwjBcaLER7iN/EZBS4nK5sAVYkSjSBi3Hjbc4kbLyOVi2yfHuKqdXom1j25aTpSRtLNNyMpls27kPiSadYWfiHE2pJ2Lp0mWjehN0dHRSX9/AjTfeeMH7ngzbtjl69CilxSUsXDT17+5OxlBgiMHBQXwJPlYsX37R1vX5fASDwTHvs217WvrjSNtGjPjjqSDWr2XH9u0MDg1OqGfLeAUCQ6MCQ+D06bhiyxUMDA6Qnja53g+TcTF7Dv0lWLTw3NOqLpZAMMhVV13Fzpdewu12UVVVRVtbG/YYX68JfyH/xu9d5cW+8LkJAExny5O83Fxuu/VWDlceprOjkzlz5kx5k/I777yD117bzdEjR1m6bClp6amEw1HS09MIBoO88sorXHbZZVO65khvxuumEAKf18uGDRsIh0PU1dXS2to6apukpGlovi2cyZ41NTVjZ6/OxPY5wiCSdCdSy8U98DDIiPM7lJ4AGJwI3cXz2x5l3rx5XHH5ZkpKJtG8P+1mCFeBfao30qRG06fdPPHHKIqiKMpbkJCT7EEzlbKMdHlD8hVEMbFsCwuLlZvX0Nvdg8ttoGtO7yBd19Fcsc+6028oY3UeJctm0dneQfdLLciIha8ohdQFWZQvKic7O/hv7fcAACAASURBVHvMNTs6Oqg6fJS+o11Ekkxufd/tuNxuqo4d5cjhI1jtJu2vNCAt28kssm2i0Si2aTnHaEksy+LE/ip0NDRNR0OgoZFSkcM3H/nORX4WFUVRFEVRFEVRFEVRTsnJzXtdSrnqfNudN5dbCHGPEKJdCHFoxG0ZQohnhBDHY5/TY7cLIcSPhBAnhBAHhBArxnvA8vQ2ztJ2yrlMC9M8NVUMU2KbTnlT2rIsMmZnUrGkgrJ5c0i/NJfkxZnkrS6iYlnFWQNDANnZ2SxevgTXbB9F80uIRk2CgQD79u5lw8aNZMzOdIJCloW0bCzLwr+5EG9eIrYpnQwia+zA2kx8k05RFEVRFEVRFEVRFGUs4yn0vw84vQnMV4DnpJRzgedi1wGuAebGPj4K/Nf4D2VE2RfOUC3LtLBMGQ/SmKaJFQsSpa3KIb0sm0vWrUFKSWFRISvXrKLismUsW7GclJQUp1n0OT68Xi/tne2sXbsOj8fDwUMHKCkpJTEhkUvWrSF9VQ62aTvBqaiFf34eKYsy48dgmdZpR64oiqIoiqIoiqIoivLWct7gkJRyO3D6jO4bgZ/HLv8cuGnE7b+Qjl1AmhAib3yHMjoLR9oSK2phRU2saGz0fNRGmhYpK7PJmJ3FJZeucZpSx4I9SUlJ5Obmxq/bw32BzvJxsvokK5avQNM0wpEwBw4cYNHCiniPoqy5OaRe4seO2og0F2WzyrDclnMspvNZURRFURRFURRFURTlrWyyDalzpJQtscutQE7scgHQMGK7xthtLZxGCPFRnOwiEoWP0/NvpG1jRU00IZxuz9ICDVI3FpI1P4f1mzaMOYXsdNFolL6+PgYHnQkybrcbt9tNVlYWrS3NrFm3FikloWCQ1NQ0DOPUU7Juw6XsMHdgRU2Crgger5eoHctesi0s02loOTVtqBVFURRFURRFURRFUS6+C55WJqWUQogJd7WWUv4M+Bk4DalPzxyyTAsrHAHTwtJ1NE1D6BqFy2exdv1aZxvLGnPyxO7du/F4PPj9fnw+H7qujxr/LoSgubmZ9o4OZxKappGcnMzVV1/Nj3/yI9Zcspbly1YghGDt+rXcc/wQt912G9FIlKGeQaKBEJa0nbGriqIoiqIoiqIoiqIob2Hj6Tk0lrbhcrHY5/bY7U1A0YjtCmO3jYMYdcm27FhvHxsrGnVKuSIWjXUNHDt2LL7tyB5Ctm1TVVVFUVERxcXFeDyeeAnZ6dt5PB5M06K/vx8hBNGoidfj5ZMf/xStba385L9+zIGDB3jotw8wd94cEhOSGBjqI9A+EDsmE9NUZWWKoiiKoiiKoiiKory1TTZz6Angr4HvxT4/PuL2TwohHgTWAH0jys/OQ46+ZEvMiAkGaJpA6mALjbrfHMWWNllZWaSnp8cfY9s2hw8fRgiB2+2OB4TOpqOzg5bWZnJzczHNKEKDUDiEEHDzjTczMDTIa6/tYuXqVcwqmU1DYz2H9x9m4GgP0agZDzqBKilTFEVR3h4O7t/3Zh+CoiiKoiiKMg3OGxwSQvwa2AxkCSEagW/gBIUeEkJ8CKgD3hXb/GngWuAEEAA+MJmDEjjBHtu0MCUIAbpuo2k6ke4hAvX99PT0kJaWFn9MVVUVmqaRl5cXD9qcywsvbuOqq64iGAzQ3tlGfk4BmtCIRMMMDg4hBKxetZpgKEhdfS0+r4/KykpCNQGkKbFsGynHzhyacI2doiiKorxFrNuw6c0+BEVRFEVRFGUcXtn54ri3PW9wSEr5V2e5a8sY20rgE+Ne/Wxr4gSErKiFFbEBiSY0hKaRttSPf1E+xcXFWJYTnNm3bx9FRUXouh6/bcQxcfLYCWoOnwTAm5FA3pF9fOTLX6O+vYXjJ4/hcbuxLYusDD8ulxvDcBGJRLAsE5/XR1JSMvf8zz0M/roFW9pIBDY2w+2OVENqRVEURVEURVEURVHeqi64IfXUOS28oo1uhyQSNHx5yaSty2Hx8iXxkjEhBMnJyWiaNqqMTAhBW2sb+17eS+szNZgtQQAuyWohOz3K3s98Hvn+O9G8XqLRCIlJidhYSEvS1d2Nrguampp5ZdfLnDh2HE+jjsefQLBtcHqfhnOoOXmcBRVLCQUD1Jw8zqyyuaNuUxRFURRFURRFURRFmagZFBwaTRsRHEpd7ifn8hLSUlJZsGQhfr8/HgiybZuUlJRRpWTDgaGdD2+j4491YEkQko3+VopSLPKKchg82krnD+8h+VN/jS8ljZTkdH778MPsfX0Pubn5JCQkkJ2VzdrV69h46Saqq07S29dD+95mWp6pvdhPh6IoiqIoiqIoiqIoyrSYscEhoQkkEoHAv7mYG26+gcTERIBRGUIDAwMIIUbdZlkWrz7/Ck2PnkDYTrBoa0EjBRmCvKIcIr0BsgX0tXbS/IN72fTfP+A73/k2ay5Zy8c++glCoRB+v5/k5OT4PmfPnk00GuW30YfOGxxSJWaKoiiKoiiKoiiKorxVzNjgkKadCrFITcYDQ6cLBAIYxujTqKqsovmPJxGxZCKXFqUwTye3IJu2jj76+oOkDkXJlVF62vp56iNf40P/+hUSEhLi+wgGg6OCQwAulws5utoNODMYpBpSK4qiKNPpG3d//Zz3f/Nb35nSxymKoiiKoih/2WZQcGh0SEUzDISmocWiMWebQGaa5hnBoZoj1ZhNYRINm2uLasgszqQ7qHHgRDO+iI03ZNHUa3As6CVUmseN//l1hDgV4nG73UQikbOuearkTcb/fzGyhWaVzY33FppVNveM26aN7Of9X3maT3xwBSlWiIHOWn58715u+8ev8878GfQlpCiK8jYxMohz//2/5PixKgDmzivnve+9i2/c/fUzAj3Dtx2prOTBBx+I3/+Nu7/OnXe+mwULF168E1AURVEURVFmlBn7l72miVjA5tx5OKeXlA1LdIe5rqCBrDI/yUkJNFQ14YtIvGELglGOh1z02V5SNi8HOKOZtaaNkSIU38Apd3tbScilbO48MjSAJWTe+xj7G0Ncl5+E2fwc9977DC+faEekLufj3/wkq1Mtfvj1z/JG0xAyMZ9lV9zGe69fhnvvP/N3P+3l5u9+i+vzDKr+99P804kt/ON3bqTAAEJH+PwTCXzvZi97H7qPh7ZX0ecpZuPHvsT7FiYgkIQadvKpu+8lqqcwe+0NvO89l1Mianjqf+7nhaP1dAVs0LO573+//yY/aYqiKNPv+LGqUYGe83nwwQfO2HZksEhRFEVRFEV5+5lBwaHRwRYpBIhToaGxAkDglHqdLk0Ls7agBv/8InxuD0fqO/BFwBOxEUGTjoiPPttFr+4nK9131v2ebU1JLCj1diwgkxbB7jq69NlcWexFAGbnIXafCPGFL32eaECjJAmGKh+gseAaPnZ7ATTv4ncP/Yhv932Wf3vnSop4gAM1Q7wzL5XDxweho5K6oRsoSBVEO4+yYOk76Hv53/nvZ/vZ8P7PsyaxHzvHgwCsrpf5yXfv5cNf+ipJPXt55L77+ReZzX/c3s8be2sRl7+fv1uVjR4OvdnPlKIoyrQamTF0//2/5L3vvWtcj/vmt75zRhBJBYYURVEURVHe3mZQcGh0oEVICUKgnSdDZ7gEbKSlO/9E5pJSDKFzuK4dOxQlKWKhBaJ0RLxUh3T6yMVbmkJhQaGzeiwQNFxe5na7z7qmLjSkcNplv23U/oLPfegX8avzbv8Gm3NGfvmkUrFgkXPR7mLbIy/yua/8H3kGsLSCYpr56kOPot/1YVbkSJ5+vY7gpUs40AG6bGRvfZBLF3vorTrAqnXvJFTZj+32s2DJAhalD2dxRWna9jgHXBv53IK5wCwyug/w1SdfgNtXAJCxcCXLFo7dn0pRFOUvyUQzhkYaGSBSgSFFURRFURRlBgWHThE4PYY04ZSWDR3q4Xe//R0pSSmUlZdRWloa39bn8xEOh50rh/YR/fn/kl5WSGVdOyJskRC18URsuns1aoOJdJoWPUYB/nfN49LrNpKZlXlGbyGv14vH44nfXldXR83xk/T09TFwsCs2SQ20WCDpbREiKn0f//b3m2NlZfDSdz/Ix7Zdx7e+eyvZp28baeVwo2RD/KtLJ6tiMVkPPQtGPtf8zVZe+NZ9PFr99wxe9fd8t/BBvn7fE1R/bR6PPdTMZ7e4EDd/j3vf2cWxXY/w/nu2s/T9X+fTl3lpOtYJXh/Nzc3Orld8gu+udAHHLsrToCiKMpONJ9BzeiBJBYkURVEURVGUGRkckjiZPEIIEILO7Y0MVnaipXrp2tRJQkICfr8fcDJ9dF3H2rWD6G9+Se6Kubx+sAEjYuGN2rgjFnrApC6UQLdt0e8twVuWHg8MnV46pus6hmHEM4g6Ojp49cVdtG2vx+oNEWoPgSYQI7pQX6yG1DPJUAgw3BhjnbjLz4J86LQgTwew6K48RCd5ALgL17Mm41lefX4HKy5/B9lpl1L8i6d4YXsDVcyNP5fClUn5xtv44M4/cc/Tr9C6/lry52TAH6vJz79z1JKyVwWHFEV5e5k7r3zCGUMAd9757jEbUiuKoiiKoihvXzMyOAQgbRkP0AgE4a4wojNMt1vjYO5Brrjyivi2rpdfJPzwr8m7ZB59nQH0iIk3KvFELIyASVfEQ7eQeN+1mdKiTIoKi88IDA0HoxITE0c1uT6w7wCdLzcROtGPU0jm9EIa2XPobREYCrRw4uhRkmWYQG8rDzTozP2rS/AbED19Wz2LNbdcxrfv+RO3rytENL3Cb39TT8r6zzj3u/JZvz6bPz75GOvfdwOasZhNpb/gnse78Cz7FGDTV7mNV/v9lPqTON5tIVJS8AgXuZdfz8Lnfs5TL+9nVppGsKOJ/sLLuDzzIj8fiqIob6IjlZVn7TF0pLLynI9bsHDhqCyh4cvD9ymKoiiKoihvPzM6OASgoQESGQvIBE/0093dTSAQwOdzmkkHHnuI/LXltLX2Ud3QRWoUPGEbI2TRHXHTFHKz8QefIW1OMeDsZ6wx9V6vF5fLRTTqhDuCwSDd3d0ET/Y5YaDYMQgENqceP9WZQy3t3Xz++/dy6bL5fOSOq/G4x/5nsiybXz35ArveOEZxfjYffdfVpCT7eODJF9l94DglhX6+8MGbp+CINFztz/CTHzzjXHUl886P3s11a3MwGCM4hCCp4j3k/Oqz/PjlAPhyWHLNJ7jrpqWx+13kr99CyZMPUuQGSGfJ5nL0442svmo+YDFYf5BnHz9Aewiyyq/go+9fT5YOZF/Gp/9e53N3/5CABCO5iLXvWa2CQ4qivK0MTxw7m7FKxMZqRD2exymKoiiKoih/+cTZJnJdTFlGurw++XJMLCzbwsJi8SVLqa+sQUgNIXAmlwkQErKuLmbju66gpLiY8K/vIc1spbG+m7rmblxRm/RBE1fQpCvsoinkoVOHax7+13Meg9vtJjMzk3A4PKrX0Eu/fYHWP1TjHIRE2iAl2MIGJL0DfehoaJqOhkBDI6Uih28+MvlfsL/6L79g64alPPT0S1y+ZjF3XrdxzO0ee/ZVHn92F9dtXsXug8fRhGBuST7bX6/k2k0reHX/Cf71Kx+Y9HEoiqIoykgH9+9j3YZNb/ZhKIqiKIqiKOPwys4X2Xr1ta9LKVedb9sZmTkkAduyQdOc3j44pWVCQOEHFrJ0eQXZjz/AUHMd2UtK2bnrBEbEJsW08YZtBnoFLaEk2jTJ4r97D6suW37WsfQACQkJJCcnEwgERt1eXFxM5IZ17M9PoPnBY5iBKAiJEKBrGvY0BdYKcjLZf6SGvv4h8v3pZ93O4zIwLYvBYIhw1CQlMQHdrSOlJBw1sWxrWo5PURRFURRFURRFUZS/HNr5N3lzOD2AQBNarDE1CCkoyPeT98QDaF3N5K6cTfXJdoyojc+08YRtXCGTlpCHNk0y70O3kL9xGVLKMT/cbjcFBQXk5eURCoXG3KZszhzyiwvwzUmNB4a0WKNsMU3Nhj5yx9XUt3RiGDqXLJl31u2u3rgcn9fD9t2HmVucxxc/fDN3Xb+Zd25ezf4jdcwrKZieA1QURVEURVEURVEU5S/GjMwcEgC2jaZpYDsBIifzR1DyxK8w0n1kLS4h0tJPsHsQX9TGG7Fxh0x6Qgbths6aj7+bZX99A319fQwODsb7CAkhMAyDgoICvF4vg4ODdHZ2njWzyDRNuru6MQdNp99QrFm1U+o2PdEhj9vgG5+4k4//w0/Z+foRtl66dMzt3qispqdvkB985QOU5vvjt99+zXpuv2b9tByboiiKoiiKoiiKoih/WWZQcOhUoMUZZY8zHUzTEFKABh4tSkZmAtnzCwi3DBDpHCLZFAQiNu6gSW/YoDWSwOzbtjLrpk2Ew2EyMjLIzc2NTz7TdR3TNOnr66Ovr2/MxtTDTNNk+7YX6TvWSahuAKEJhC2QmhMXmq6yMoD01CTWLi3nzzv2sWXdkvjxj/T486+xbMGsUYEhRVEURVEURVEURVGUiZhBwaHRbNuOB4akgM0Z9cxbkkL9G21U7mnDtG38qT5SpU2oF2rDyTQLjYQlZaz/8M2Ypsng4CCDg4PnXSsYDBKJREhNTR21/oM/vJ/25+rRY6VtmtCwNWecvdRAk9M7xP7Tf/1Ovvj9e/nx/U/zqbuuO+P+UDjKP3zqr6b1GBRFURRFURTlrSoajcT7ij7w4N0UF7txGaAZEA6BxyOxbYhGBS4DoqbzuOHbkSK2rVPFEI5YbNn8DVJSUsd881ZRFOWtasYGhwCEpoO00YRGhjFAWmEpv98ZojqaiS6iLOuoodwraQ8n0WRDJDeJQG46O17YzsLFi8jMPPd8866uLioPHqarqwtNaCxaUkHZnDJs2+aF57bR8nwtunDG1utCYGsaGhq2tJ0sIvTpPX8huGrjCu793bO876bLSU1OiN/X0t7NTVeuUT+UFEVRFEVRFOUs/t+PPksw5Axp+fKXNMC84H1+/5+/gsdl8OUv/fiC96UoijJTzKDg0GklWlKiaUAsGGNGopidQbrNRKSAMDoBU6MrJGm0BKEMH01BD6FnjtBV30FHeyer162msLBwzNUaGxvZ/cpu6l8+Qe/xDjyJPkzTorurm67OTrqOtSORSOFMSjNxnixbOBlNEufdg+l22apF3P/YNra9epCbtq6J3/7Utt186PYrp319RVEURVEURXmr+cfvfgbDiPDpz2hOH9Mp9OUvaTTU6/znf32egX6br3z536d0/4qiKG+GGRQcGk3aEolEw5kM1mEmklHTSakeIGrl4LECWBb02wn0G4L2SAKRcASAziOtmNEo2f6sswaHak/WcPKFI/Sd7EITguhAmKO/3kv73Hqig1GC9YMIoSERCA1iUSKn1A0QaFjS6Vc0nSEir8fFpjUVPPPSvnhwqLd/iG2vHeIjd1w9jSsriqIoiqIoylvDjh3bsGwnQyga7eHKqwVzyjQ0bXp6hBYVR7n8cggENHbveQUhNFatXHP+ByqKosxQMzc4JJ2yKqRAIDgaLkTUnKTAoyGGmpC2xCV81IUkHYnpWFEQQkcTGjoCYeuYpnWOKWQWmtTQNMPpKYSGjEJ3ZTeaEOhCw9B0dCEAZzqZrp0qI5NIZ6T9RXD1huX8cfve+PU/7thLgtd9UdYeS0d/iOqWAXweg8wkN7kZCejazCxv2773JfZ3VdJmdmL1mdhIbGk7zc4RSENiJLop9uZRkVbOZSvGN+WtusdmKApIsEzbCWbaEtuW2JbEMm1sWyIt57a0RMmSOSnTe7KKoiiKoihvQz/80Vfx54YYHHB+7/f7DS7bFJn2dcvKnGnIjz36MEMBqKrawXve/YVpX1dRFGU6zJjgkDgt/8a2pTM6PhZ06JfJvMpycvqPYUUjhGzBkHATTvPj0QQu6WQa2bbzh7/ZHKTh9WqeHOwbc+R879FOos1BktwJCASaEKM+i1iASBMayNjxxUrMJBKkhhTOuxPTXWBWmJvF5z54Ez/51dMMBEIcOFrLT7/1twAMhYd4Ys+TdPR3nPG4BE8CH77iQ1N2HL/Z0YBtuDF0g7ApMa0Ilh1GMoBt2WxdmMLTr7dgI/jkNWVo4wwY3bvtPvbW7iPFl0KCNwG34WHjwo0A7KjcQcQMEwgG6A/1s3L2St6/6X3j2m8wGGTbiZ0krcoioS+ZDCMJmQAkatjY9Lf10WF3U+dq4Xh7Na/V7xt3cOhH+zQW5KcQDEFXFwwFIDAEgSAMDkB7BwwOSAIhsG0It79Mw2OLx7VvRVEURVEU5dx++tP/h8cXYE5ZJx/729Bp905/YGikm24Oxi5V09bxKXRd8vBDc7h0/SaWLF5+UY9FURRlsmZMcGgkASCd4JCUOHXCwskmak8ud7aQNpYl0bER2NjCCQ5JbTgzBLpebaFrV7PTzUg6GUAytoAmwKO7YyVip/7ThBYPVBmaHmv47LwLIWMHYUsJIha8ukjPSWKCl22vHgQgPSUZn8fJHHpiz5McqDtIVmo2hmZw45obeeK1JzBtk8aupilb/7VjHViGm0jYorqtFX96CobLhUTHktA1GOVnzzUyFIW52fqEomUHGw6RnphOcXYJAPMK5rFl6RYAQtEQJ5pPQCrUtddysO7ghI7blDZSSoLeCP2zI/SG++iN9NMX6Wegv4dIf5hIX4RQ6yCpFQvHvd/ZqXDdLIhETKxZBqYJlgmm7XwOhSTmYAirpx8zPZ1fPj69zcsVRVEURVHeDpqaGvnpf/8D6y5NJTkVLll1emDozZWW5rx5XFzawL437qey8jXuvONv3uSjUhRFOb8ZFxwSsXCNZdsITUfYdqw0LNb7ZzjqIDRnVpjQkVLGtrGxpUQKOx7Osc+oKnNucII+w6tpOEkuAg3NCfygDUepAIGE2BpOOZkQwok3CeH0RZpmTz73Kv/fx27l5X1VvPDqIfZVVrN6yVw6+jvwp+eQ7E0GYFHJIl6ueplAKECSN2nK1j/REqC2rZ9XXq/iqrXzeNf6AkwLDtV1c7QlSGtPiN5AFEMTxAr7xr3vqBXF5z01ic3j8ox52edNoD/QP+79CiEw+8NsTF+Ny2PQEmynJdhOc6ANkPTLHuywTYoniY3vvJTBlzvHve90j2R+FgQCERISzvw2siMm4uFHEb/+Nea3v8P2nHHvWlEURVEURRnDI4/eR03tHr78FQ8uV/D8D3gTbdniHN+uV47yi1/+iPfd9ek3+YgURVHObUYFhwSAJhC2IBgIYhgGtpOvAwgnOBMvEZMQGzwgYgEa6YR2nBSj2CbOJTu+xnCsSIuViTk70E49ZvhIxKlsIYETGNI1gZQivh9dE8568QDRNAaJhMCM9bFxrp5aSxNjT2A42+2TUdPcS3vXIOuXz+Xy5YWkJjqZS5sW57KoOIR7TwvPHo1gaAJ9EhMhxnOsE+3x5PV6+eyNH+dff/MfLLhmGW1mJyErRFe4l4HoEAhITkmmqLCY/pc6+OqHxl8jLs+MOgIQefbvsJtfwx26BfH1f4ahIfTmD8KtP5rQsSuKoiiKoiinPPX7XxEMv8EnP2mff+MZZO26MHX1tW/2YSiKopzXjAkOieGsHWzQdNqb2zHcOoUlRVM8fnLsP+rlGZfEcBHaqK2kBNu2CQwFaG/tQBM6Glq8LG26fO1jt/OrJ16grCiPv7nzHbhdp/7pti7dwpp5p6YjfPSqjwDQ1d81Zevfsr6YuQVpDD8/pmVj6BoDgSgP7axHIlhXmgiaJCVBG6vN0zltWrQpXko20talW9m6dCsAz7zxDL/Z/uCE9uv3+/n+336b9vZ2ft7zGGnuVHShYwid1KIkfK/ZfPGqj+Pf7J/Qfu0RwaGmJqd8LykpCV+4D4JdmELgHhpytg0EsXp6JrR/RVEURVEUxXH/r7/A7bcF3uzDmJT29mxmzVZDSRRFmflmTHDIMRwisp1MmYjJiePH4+VcUzGI8uz7OPMeedplgYwlFMWaVSPQhAHTnTUU854bNo95+8/++DMejAVN/v3D/87dD9zNQGCAofAQ//a+f5mStQ/WDfDy0R6kEE6zcNvkvVvKSE5w8dF3zDmVrCXhRHPfhPffN9R73mewd3DyARa/30/X402kXObH5/KRYIVx7Qvz+Ts/g98/scAQgJSn3rUqKCiIlTaCddX/ImyJ2dyCm7udbRMSMVNSJ33siqIoiqIob1c//sl3+chH3pqBoahpUNeQRnb2zJzqqyiKMtKMCg5pCGyGS7ViN0odKWS8h9DYRpSaxa+PdfkcwaExRt6PeYsgliekxcvJhnOGZCyEdLFf/m1segO98esDgYFR16dCIGIxaGmEohaagFtW5eJzO02WDd3J7IpaEI1Gefq1BhaWpE9o/394/Q+09raS6EmkvLCcdeXrAHjpyEscbz7OYGiQfSf3XdA5fO7GT/CNe/6Rmz/6Lqq6jnPHrXdNKjAEZ5aVSQmW5ZT92XasafnwfbGMM0VRFEVRFGX8jla9QkbGmRN53ypOVBdSUiQY/P/Zu+/4tqrz8eOfc68kyyuJHTvOdnZC9oCwIRBCSQuEEXbYs9AvhFJaaH/QTWlZX9oy86VsWjaUMlNadqEhkJCQQaZNduw43pZ07zm/P64kyyO2k9iW4jxvXsLSvVfnPjbGunr0nOdUJTsSIYRoXUolhyChDVB05TCMwuA1mG6f99e7mFamYgvSt3QWE80PWcRaFiVOJlNY7VTf1HYZaRkNHpdUllAdqm7382hXE4pAOOKSFbTplhFockxZtcu3W8vZWVVH2HEJ+Nq+QpdrXD5f/TngrU4XSw6t2rSK979+P36cxZ5PMezVqxdD+gxGG011XS29hu9ZYghokEz0EkJe43Tzn1/AtsWY4Tfu6nAhhBBCCLELlZWVaO3yz3dforJmKeecFUp2SHtk6/ZeWFj07Am5uYYtW4vpXTAw2WEJIcQupVRySMWTM7EG0xpteSuHKaObSbs0VzFEfIyG+2KPVJMU/4RTjAAAIABJREFUUMPHKuHYxmf0UkGx+iBLKZRpWifUmXmA7038HlvKtrK1YisAP370x/G4M9My2+08Jtrc2wIqaiL85V/rmDiwO5OH9cQYzdbSalZvD/HJ1xso6JG+W4mhzmTbFjVuDdvCbV+ZrFkJvRDXrFmN1pCd3Y2cio2osm8wkYRlVU38X0IIIYQQYhdWrlzC628+TF2d5pCDg5x4UmotU787vi3uxqSJ3oeaSineeOshzjjtJ2RnS/8hIURqSqnkUEx9+ia6XD0Go9on2WBoWCEUq/sxpnESqf7fifdijZZjMSrlPTcZVUMAfXJ78/9O/2mHn0cpRXe/4fipfXjm/fV8ua6G/64qxcxfjTIGYzQRJ8zxE/rxP7PG7tbYUwZPZuG6L+KPP1j6AemBdIwxfPj1hw2OPXDolL36Pi6ceR53vfpn1uYVwV4MVVYRYu2WalzHELHzcNFsq9BsGfBT3II6nJ0R8roVAuCk5VNRHdmruIUQQgghupJ//est/IEgq1Z9zKgDSvD5DRPGh7nmmtgRqb1UfUu2leTHE0MxBpvKygpJDgkhUlZKJYdiyZXYJDKDwUWDifVs2fvkS0u9i1rqOtQwlRStIVKgTCxNpOmMptTJEvDBedMGkxaw+MnpY/j9C1+zcWctJeW1GKMxuJx31DDOnjZ0t8c+67AzQSmWFC3BcR2MMby18K34fgsLv+1nwqDxnHnoGXv1ffTs2ZO5J36fx19/eu/GyTB8uHwH2tVEQhG0o9Fu7AZu2ILfPxM/fmS1s1fnE0IIIYToKl56+THqQotwHRg82MeUKfvm1LHmaG1RVNSdno3ab/brm8HylZ/St+/s5AQmhBCtUI0rZpIhz5djZmVPx0S7C3lfNVnd0jj0O/0IBNOwLAvb78MXCGD7fNg+C8u2UZaNLxDAsm3v5vPhD/hQloXt86FsG2V7zwUwrkZrjQ5HcB0HozWu6+KEImjXRbtudLuLGwnjOhrXcdCuS6QujNaacF2Isq3VLPtyO5XlkSYNqbuNLeCXL/0mqT/Tjqa1YWtZLdsr66iuidCzexoj+vVIdlhtVldXRzAYTHYYQgixT1my+EsOPeLoZIchhNiHvfjSo9SFFzP79HCyQ+kQq1YXkpWdRq+8pvs+/qSaip2DOP208zo/MCHEfuk/H73Pcd/57kJjzIGtHZtSlUOxiiGNJjPLx8HH9MZBoyNhsCxso7ENWI6L5bOxLAvLtvAZjWXZWLaXMLLdAMq2sX0RlGV7+6I9cIzWGG1wHS/xY2IJoXDIq/4wGu04aFfjRBy0E93veskitEaj6dYrnUOO7c/bL6/For6X0f7CshR9embQp2dG6wenIEkMCSGEEEJ0rocevpfsbuu7bGJoe2k+kYjVbGIIICM9gzWrt3ZuUEII0UYpkxwyCRVDrnaZenRfQsbBp/24SuOzrGhix8VYYLTXGNoohXE1BuX1CDagLAelDca1UJaLsixUOH4iDKAdt348V6Od6GpT0coio42337gY7YL2OhC7WoMG13XQxqCNC8qKNqpWe7GWlhBCCCGEEF3HypVLeHv+PLTWzJzp46KLu2ZSCLyKoeysICNH7HpWxqRJipEjFPc/dBNXX3l7J0YnhBCtS5nkEMRqhrypZZatMNpFGxufsTCuJj03h0OvuAClFEopr3LIslCq+Zqd2JQ5YxKWGo/eEh/r6NSy2DatdXybMQbXdYnU1bHiqZdQxuAajdbGSyxF/4H6jkT7UwWREEIIIYQQzXn9rYe55mqXcEgRSOu6iaHS0jwijkV+fuvtOpTFLt+7CCFEMqVYcgjQ0WSLMaA1SnvJIltp+k2egNYay/Lqc2LJnNjjBmMl9FJKTAY1ftz4tqskkuX3g9Fo13gxGq+ySGOwDBhFfJF7IYQQQgghOtvSpYsoKS0BwLZslFLeqrqWheNEmHb0cZ0az7hxaUANgbTk9zjtSGvX5TB5UtveA6SnwzFH5/Lsc3dz1pk/7ODIhBCi7VIqOQSxps7GW/VJe8kZSwE+P7kjBscrfGKVQ0opdHTKV2IWvnFyKHYD4pVBjSuHEquGEp8XTyxZFsY43uNofBiv3slSdsL3IIQQQgghROf65LO/xJscZGUrnIgBZeH3QWWl5r33n+MXtz7c7HPbc7GOUChEWloa48Z2nVXIWtKv3+59ODyw0M/S5VUdFI0QQuyZlEsOQayCSKO1i3FdDJA3YjjKtnFdNz6tLJYkiiWFmivRbG41tlhiKbY/lmRyXTe+LXGqWeyWVdiPsuVrvJi068XXUT8EIYQQQggh2mjlyiVceIHT4jHr12fwu9u/T1VNiOysIIGATemOanrmZlJX6zBr1hWMGT1pr+JYseIrXn71AbKy/VxxubtXY+0LSnfkUtBr95/XLdtu/SAhhOhEKZMcMo3SLNp1cCOOt0y849B94gFs2LAhngxKTAol9h3aVbIodkzjr0C8r1CsQih233GcBhVHPQ+cwLZFy6LTy1y0qzvkZ3H47LlNtk2fdiR2/qgG2955fl6T4y458wQuPfOEDolLCCGEEEIkjzGGiopyLMvG57P59we3kJ4GEcfm6KNbr0QZNCjMD29QQKxCyI3ed/FaI8zjrX9moh3vGjc9CK6BcAiC6Yq6WhPfXlsHgTRvBdvYdp/f4uijqvnhDxXQcqKqK1i9eiDBjDR6dN/95x5xeDp33/sjfnjdne0fmBBC7IGUSQ415joO2nFwLS+RU1NXB9BsciiWvGmcFGqt2VtzU88S7ze+ARg3YVqZ27U/DVmy+MtkhyCEEKIdjZvgVQQYY9i+bRsbitdhDNh+H1mZmQwdPkoapQqRwu648zrqwmGyMv2kZ/i45OL2n7Z1zNHV7T5mV7SjLJdQyGbw4D3/m5mRnt6OEQkhxN5J2eSQ0V5ljnJdlCE+5avx6mSJ08tijxvvb3b8VhJDicc0SBK5seluusMqh1LJoUccnewQhBBCtIP/fPQ+AI7jsHL519TW1jB5ysH4AwEikQg7y0rZULyefgMKm13oQQjRflauXMILL84jOzuTSMShtraWbtnZVFRWopRFdnYmFRWVpGdk4LdtKiorycn1c9ppigEDLcCN98gUybF6TU8mT9y7ZHrE6frVVUKIfUcKJYca/nHVjovrOCgLUDrea+ipp55iy5Yt8WXsLcvCtu0m08UaVxc11rgiqHFDamMMjuNVCfXp04dzzz3X60MUiaBNtGF2NGEln7GKPWWMkU/phRCdxhjDiuVfY7ThoIMPx7a9nheBQIBeBX1YU17O5o3f0rf/QPnbJEQ7q6qq4vOFn2Lbfv77+fOc8F0fll0b/RDUh23X4ro+UGDZtWjHh2WHUChc10d6hmbAwEh8PMuSzpfJsmbtAPr0hr39M+lIckgIkUJSKDnU8AXOqYvgRsIY16sKCoW8stnVq1fHk0Ize1TTK82gLBsVqyhSCktFP/GMPgZQ0RROvLeR8VYa65mRTkFGBsRWJDMaokmjdVUR/rQ2zKpVq6irq8MYQ7g2FK0gcjFGxyNPfG2Qy2mxKy+//DKnnHJKg21FRUUUFxezffv2Btvz8/M58sgjmx9IV7LsH8/ysf94Lp85sKPCFUJ0MV8u/C99+w+kf//m/24MHTGK0pJtfFu8noGFgzs5OiG6tj/fdxOzz7AYMMBh6sEA4WSHJPbQwP7pWO3QT9rvkypNIUTqSKHkUEPG9SqHMKAsC8dxUEoRDoe56+qDGV2YA3jJH4UVzch4aZmy5RvZuezbhHR+c+kaLzkEoCNh0Dq+zUTLdAv9LuFwuEFzau04GG3QRsePa2bkvXL6GWc12ebTYUq2r2j1uMJBPffy7KKjNf40vrCwkMLCwibHvfzyy7sexC1j0cvP8o9hBzZJDkW+fY4bvv806Vc/zG3fLUDWwhBCxFRXVZKf1/KyOt269WDr1i2dFJEQXddDD/0v6RkZ1FTXEMyo5cij/QwYsH8s7d6VrV03gMJ2+lzusMPzePPtecz8zuXtM6AQQuyFlEwOKcB1wwnJIRVPDkUiEYZnlhMpKQdleckhb+5ZNBmkyOqtyOrdnwZJocQ35PF+QwlVRPFkUTRBhAHtctvoGm54Yk08OeTGk0MuRjeuGaqPf29U0K3Jtm5WBe++92GDbTPOaPpCYmf02Muzi86w8bW7CO3YDq6O/9rhaowbrW3ThtGOQ9GTKyg8/+bdGtsK5tGvsJBgj0Arv4suW1+/icv/dxG1AP7u9D/gIGacfj6nH9qXnW/cWL8PKJw4nSNPOJ3TjxlOVvSDrnevm8HtyxqO2m3m//L0D8fE10ERQqQO13UJpKU12BaJRPD7/fHHPr9/lx9+CCEaMsZQVVUFeK0JlGVhKYu77r6Bo6ZlYYy3kld2tuHAKZIY2tft3NmD6mp/6we20aiRfhZ/tZHNWzbSp3e/dhtXCCH2RAolh+rfxhq82V3acUCbBpVDkUiE8Pb1oCy6nfNK20ZuZkJwYkPqXan46ykMS9NEIpH65FDEwWiNMdFpaLTfC4TYNz355JOcffbZDd5ctaaudCt9Dj2q/tc+Mc+YcL/4pTd2Ox47/1h+ct+xbTjSEKkqpZZB3H3X96nZuZGl8//Goz+/giU/eoRrovsu/PUPGBeMsPD1/+OF26/m5flXcfcvTmNIMBpk71n87IajyLUAFIGegwjsdtRCiM6S+Jq4bt06HvnLX7j0kksYPHhwk/1CiJb94c5r8QfA71eUlYWxLEVGhsWZZwcZMri29QHEPmXN2jzGjWnfqWBpfl3fEkMIIZIohZJDDZM18ffJ2pu+FWtIHQ6H2bHepq60ik0Lj0cpC2VZCf2FVEI1UaPBmjldrG9QrNdQrN+QN73MJZibFZ9aprX2ElYk9C5q9TsRXd27777Lm2++ydy5c5k6dWrbnuQYwhsXe/djUyITpkYao8G4uBUVLQ5Ts/QvzJixHLvHcKad/QOuOXU0meXvcN2Zd+C/9WXuPjKL0MYPeeK+R3n982+pNmBl9OL+555maLx4oDvjxk8GJnPwoeNIu/xyHn/hIzjO2zdk3AQmZMKEiZOYddQdXPWrB/nV0+N56NLh3tMzB3DAuPEUyPw1IfY5Tz71FHl5eTz51FOcP2dOPEEkhNi12EpjPXr4OP00K6FJtHftGQ5BIC2y6wHEPmnd+gHk54Pdzu+eIhGp1BRCpIYUSg411PiDy1g3/1AoRK8ZBzVzcH1/IZXwJrt1JjrLLGGqWYPHEHpuLbW1tfFVXZrE2sYzia5p9OjRhEIhXnnlFW655Ra01syfP7/F5+iQQ2RnZbRETmOMg3FCGO2CiVanOWGqVq9qcZyMsZfw6s8mgi7jvZ+dy2kvncrbfx6UcESEEy95gWufmMcrBTbgsvWVqylySEgOGZxwDVUlRSx+5y88vxH6nTMBeL3R2Wx6HvlDfnfGEr7/tz/y/qn3ev2M1vyZOSf8OXrMOG596W6OzG7bz04IkVy33nJLskMQYp9y3wNzueyyMD+6EaD5laYCafIxYVfzxZfDGTNa4euAd04FvbNYuuxjCgpmt//gQgixG1IiOWQscHEbbW20tH20cuell15i+278ZY4tZ2/bdrxUPnGJ+8Ql7WNL2CcucQ/w0ktnsXLlSmprO6c8eFfJpsal/pKUSh07duygqKiIyZMnM3fu3FaPNxEHp6IatIvRLsZ10LU7MU4Y40YwxgVjcKpq2haA1Y2RBw2Az5cBgxJOVAsDj2RKXktlPV8x83uzvLt2AZNn38rcOcNwW+iH3UDf0/nFT6bR0wKsTPpntvF5QgghxD7k008/5LLLZIWx/c269QPIyzP4fB1z5X3UkUE+/mQlL770NKefdl6HnEMIIdoiJZJDeYX59MjNo+ybkvqNjf7+uq5LJBIhPz+/1fFiyR+lFFZ0iXvbtuP3Y9sTE0Gu6zZIEMWSUbEkkc/n47PPPmvPb3uX3nl+XpNtx047kuNmX9Zg28/PGtMp8YiWLVu2jHA4zE033dS2aWVGEynfQaimFBOpw0TCGO0Qq1ZLrHwzTts/ffR+VxtfuGiwfa2sWDaUP99/I+nd8uiV351gdEbmhuYO1eV8s2Qb9DiQ/hkWmwHS+zBs5CiZViaEEKLLeejhP5KZkY7t87Fp8+dMmpLsiERnq6zyM+aAju0JlJGewZrVWzv0HEII0ZqUSA7Zfh/n3XM5d878Ob5og2eF1wJIRVuxxJaTLy4ubnaMSKR+bnfjyp/EJJFlWfFticmgSCSC67rxW2xfbLzs7GxvFQoSJqDF+hYhVTz7s+nTp+9WQ2pjDNXrvyGQnfDpY6wqLPEXSYFp6zx0t4QvPiyGvuc03K7S4dv/sqLiZApydnVhk8XI4UPbcBKHko//j7+sgH5nn8jQIF5ySAixTyov38k3K75Guxp/IECPHj0YMmxkssMSIqUUDnYJBFbiRCxOO12mi+2PRgzz09EdRSdMUCz6aluHnkMIIVqTEskhADvg4yfv/pav3/+K537xOIbM+vfLinjSpjnGGJRS8aRO46lhzW1LTPy05fiysrJoU+xo0goFKjUayN3wxI0MKhhMeiCd606+jlc+fYWibUXUhGu49jvXJDu8Lu/888/fvSdog65xcGqqvMf17bLqH8Q7su+iHMfOonDSOHI//BkzZjhkDzyQmRf+hX8c2Q92vpNwYBrP/Xo0f7z5XP6wppRwsA/DC3Zw8YzWw/Rn5RJkMT8/xTt44ITpHPXdM3js7ZvjS9kLIfY9K5cvpaKinL79BjKwcHCDatuVy5eSld0t2SEKkRIefPgmLrigN+Xl/dm0JQJUJTsk0YkqK7uzdn1Pxo7u+KSgZcGZsws6/DxCCNGSlEkOASz55xe8ec/LpFtBLJT3TzQZ47pufDn5mMRkTuNKoJYSPW1JFjW3zUs+EY3JeAmiFGAwpAfS44+z0rMAyAhkJCsksQu5ubm89Mor5GfkUrKlzmtG7RovYRRxwdUYbeJlad3Gjm1+ICuXw6+9m8OvbWZfzvH8af7x9Q8nz+HnD86JPgqz+uGLcX0APvqf9Rfmn9X8KQq+dyevfa/l72f6vfOZ3vIhQogUs23bVgYPHYZlNX0N65mXz/ZtW5IQlRCp5U/33cyBB/UEoHt3iDg+Vn4ziJEj1ic3MNFpVq3JZ/Sozvs0TOrShBDJljLJITfs8MbvXoxPK2tA1TekBppN9CTeb0uiZ48TSIlVHqb+brIN7j2YrKCXFOrfsz+WsqisrUxyVKKxo48+mh07drBj4sRdVsLF2LbNsGHD9vqc/3jpbboP7EtepmbHyn/x+Evb+OMVez2sEGIflZubi6Waf8NjWRZZ2d2pKN/ZyVEJkTr+eN9POemkXAp61V+T5vVUOE7KXDaLDra+uC95OYo2dgxoF83k64UQolOlxKucG3F4+vp5BK0grvbeMBsARbw6J5YcSmwS3TiRo5RqdsWx9phWFnuOimaFEnv/tnfPoUvOPKHJtr79+hHs3nwz7mAgyKypJ8cfH9B/FAf0HwVAVWVFO0Ym2kNubi65ubmddr4Fr8/jv8XlOIDdvZApp/0/gp12diFEqmlt2lgwmC7JIbHfeu/9x5kwPqdBYiimd4HF+vX9GDRoYxIiE52lsqob5eVBxo7u7GyNZIeEEMmVEsmhkqLt7CwpabS1YXFl4gpiidugaaJHa43rus0mgBIfQ/3y8G2tSuqMcqFLm0kOtaSytpJ7Xr2HnKwcLpp+ER8v/5hVm1ZRWlnKldMv75ggxT7jl4+8kOwQhBApxOdr+aW/tf1CdFUPPPxzxo3NYvLkXZeLuG6QDZv60L+vLMnQVa1e04uRIzq/uaI2MrFMCJFcKXEFqDTY+HBwvMex7dF7Cm81snA4HG86Dc1X+Cil6N+/f4MkUovnVoqlS5di23Z8zF2NHYlE4rPJUqXfEEDADvBV0VcAXDT9Ij5d+SlLi5cmNyjRJrGKNyGE6DzyN0eI5vTt62sxMQQwaJANZLNsRZD8/HLye+7onOBEp6iq6sb4sclZdSMrE/7+xq9J909ixowTkxKDEGL/lhLJIY9pcM/Lx0TfOBvVYFoZtNxPyLIsHMdh3rx5FBcXN3u2wsJCLrvsMgKBAI7jYFlWqz2ItNbYKJQy8fhSwekHn8YrC14lFAlxzYPXUBeuw8IiGJDJQ6lmwYIFbNiwIf44EAjQu3dvpkyZksSohBBCiP3b1m1bmHFcdpuPHzncz9crehDwabp3l2mYXcWatfmMHZO88xttk5GZlbwAhBD7tRRKDjVHxRv6xKaKtbWfkNaa8vJyHnnkETIymq7addVVVzXoYdSWpJPWGjtaOuR9SY1PXw8beSiHjTw02WGINtiwYQOnnHJKg23FxcV8+OGHbN++vcH2/Px8jjzyyM4Mr41cdnz+Ii983YcrLkzF+Oo99dtfEj7tJ1xygCRKhRBC7NorrzzD+RfsXsXImFE+lizNZeIESQ51BcUb+tEtOzlVQzHHTU/nscff5vDDpiU1DiHE/imlk0P1s228ZeRjfYRaq/CJHZeVlYUxhurq6iZjZ2VlNehN1Jakk+u6+GOZIaQwX+yZxtPICgsLKSwsbHLcyy+/3KFxOBVrWLR4JwMPmUIzfTdbEGHrJy/w/GfHNU0OhVby0FVzeXfYLcy7+TC6J/cai4/e+w85x7W8KpwQQgiRlhaAaHuD3TFurI9QKJ20tNr2D0p0mqqqbEpL0xg/NrlX90opjj+ugD/f/1N+cPVtSY1FCLH/SaHkUMM/xiY6ZStxtTLXdXEcp9UkTigUwnVd+vTpw9q1a8nMzGxytj59+hCJRBqMmzhe7JyJ2+pXK2sYo9i/Pfnkk5x99tn4d2O90zWP/Zg+hx5V/2ufuORd9P53xvhZcfvVjLrp/naOGEBT/sk93HxXkF++0jA5VLfuBW75n4foc85cJg3Mxtm2gg9fe5EeV/yNuYfl0GK+J20kVz76JldGH1Yv+Dn3B2/mxnHRyh13O5f85iv+cMt08qID1S76LfPSbuBaqe4RQgiRJKFQGFp+hdslyxrA518YDpy8qn2DEp1iw8a+hMLpjB9rJzsUABwXIk4k2WEIIfZDKZQcasTUf7HUrpeyb61y6NZbbyUcDjcZ/uSTT44nf9paOaS1RinQkhMSCd59913efPNN5s6dy9SpU9v2JMcQ3rjYu6+i/1LxBxijwbi4FRXNP1+X8tGff8sjH33DhrIQmYOmMfukQjb+623++XUlg465mJ9cfzLD0hWf3HEpd7xbTJULVrchHHXu9fzs9BHRgRbz81NmQOAwfvf8LznQX8RLtz3EoowZ3HHe96LHHMVx3zuW48++j0Of+CmHxlbBLv2EE2Y8j+vLY+wJF3LtFd9hsO9bnrniUp4ddgd/+9lEggMm8s3HO3DH9cUG9I7/8u3H77BwxzF8J88CIpQsX8OE76a18MOKsPHNu7ns7n/iAL6cYRw26xJuOe+g6M+inK9euI8HX/iA4vTxfPeCH3DJsQMJSmmfEEKINrIsmz3tJWlZMPYAxReLhjF54ur2DUx0qOqabEpKgoxLkcQQwMCBhp49M1i1ahnDh49OdjhCiP1ICiWHmn9BVtCgIbXrelNEWqrwifUm6t+/P7Nnz2523B49ejToN9SWpJPWGoxCYTCxZcvEfm/06NFs3ryZ22+/nZEjRzJ37lwKCgpafI5xXdy6UPRRNDGkXYxxva/a+xqpKG9+ALea4i+XsLn3Bfx+bjbvPnQfj/+pGweecym3HvEl9z/0Z37TbzzzLhzMkKPm8MNj8shNq6Xo3/O498Ff8LPTn4kONIyr/vdGJmVl0ycI4TVv8Np6GHHthQ1Op4LDyK7+kBc/L+fgY9OjMUS46de/geJ/88QjdzG3LJ1Xfza4wfPsHgewYeF6ak/vSxaakv++xdQea3ljwQ5mzMzDMrWsX7SJIWe0lMlxqVi1kAtv+Q3D0sJsXvQajz32U6rOmU+WVceqJ2/ghqfKmTrnBo4ve5GHbv8fNvMIv5ie1+J/AyGEECLGm1YWavW4XfEHYMhgxdKlQxk7dk37BSY61Oo1+QwdkkJvh/Cmls0+PYfnnn+a4cN/m+xwhBD7kdT6axiVmHcxXnaozQ2pjTGEQiH8fj9DhgyJL1HfmOu61NbWEgp5FwJtbUhtVHQymSSGRILc3FzS09NZuHAhc+bMYf78+S0ebxyDrguD0aA1xjgYJ+QlhYyD0RrjhAlt29LiOGkF45h82ASGuZ/x7q9KOPCE73Bk70Oo/eA97vhsGeXnD6b3wcfQO3r8mCEWC965mfouPJn0GTSEIdGZlxWbV1FCHkeM6NHkXAPQbPqmBOfYAd6GXkcz7ZCD4ZADGelbzwUPPAP8rOGTgv1x1vyTjaHDGOnbxif/WMN5x/Tghtc/YfvxJ1MQ2ciX61wOasNfogMPOZhhAeDggxmTfiX/LtGcGFzIY88VkX/an7jlwlEE9WSyNs3h94/9nfVHXdL6oEIIIQTE2wvsjewsRUFBkpvtid2SmaloZt2alKBUSr5NE0J0YSn5V6c+76JQ0f4rbW1IDbBlyxYKCgoabGtOJBKhuLgY27bb3JAaQJlo0srIvBXh2bFjB0VFRUyePJm5c+e2eryJODgV1fEqIeM66NqdGCeMcSNeBZExOFU1bTi7IpDXh26sZ1uVA1aQnrlpUFRGtQvFz/6WR9/4grVbK3CDGRACvfffcgKbnuMm04u/N7MvA3YsZmmpyxD3PV5b34cHbjiYnq++xvubv8tpaglflfloaVJZUwH6HzqVpzfWcXzmYtaGMxh7aCFBAKsH4w4rhPsWs75KMrhCCCHaJhKJsKc9hxLl5ipWrS5k+LCivQ9KdKja2iwGF6bOdLLGZs5s+kGdEEJ0pJRMDsUo5TV9NsZ70Q6FQtEXb8+uKnyMMWzevDm+r639hBL3Nd4GXgzamOgqagoluSGB19z8+uuvb3NDaqNddi5rlKEGAAAgAElEQVT+FJWd0AtLNbMEngJd27aVtpTPj43GNd4Tbb8NRmOo5Sf/yOeBR1/0qm7qlnHPnOsAhT89ANRSXqsh07sg7nbotVw48HIev/VPXPPsj+pjrlvLsowj+MU5QwnQuIdXmI2ffco2BjUTmcWpeet59E9PsXLts2Rf+wSBYT24/ZIFXPrD31Mz9FOKBl68myv/uZQu/YrRh6QRyBzHIN/LLPu0mLqJIwnqcpZ+WgQFp1GY6dUgmvbNhAnRZZRXlLP866+JRCL4/X5ycnIZP2FCssMSotM9+sQvOfqY7HYbb8jgNNatG4ztCzFwwKZ2G1e0nw0b+lAXzmBw08ViU0ZWpuKJJx/ggvO/n+xQhBD7iRRKDjVarcx4N/CqHOzyqgYrle1NoqctYzSuRgJQZRVowDLRxJUUJgjg/PPP370nGDARja5KTA5FV+ZrlBza++7nAdS2f/L0K2M4bUIvguG1lIS8wdMHjqcvT/O3x18n/YB0+h89nWGZhcz+6eV8ce087n12HJMHZOFsX8EHrz7P8Tc+w6GJa9NXrWPRwk/YvOg1Hv3bt+R99/ZmIzjm0Bxefu0p/p02lVsPywUs+k47lVGP3MPTn0P/Cw9u03fyxFOvMX1MAerb93ls3mrunGWjrIO4+IwBXPPXW7kt6yoOKnuBBxb6mPrjUxgcgB62ZtU7/2LZyBM4INe/m0koIbomg2Ht6tWUlZXx3ZNOJpiWTnV1FUXr17Fi+XJGHSANUMX+paqyhpzu3dt1zIED/axdp9i0uYC+fba269hi79SFMtleksH4calbNRRTU1ub7BCEEPuRFEoONX0TrBQ4BhztkrlsHQONQc9ovXH0niSQGh/fnKwVRUQU+CwbH0jlkNgzxnjJoUg0ORT7PUpYrax+295euNjcPGsgjzzxC34Y8h6n5wzEAuzC2fz4klX84ek/cseiw/j+hKMZluknOPRMfv/oEC6/8mf8o0qDL4fBk2fx4BG50YJ7m27DJzNywX+58abPsXOGctiFt3H1WVOA4obxA4OPO4Kc114jfNipTO7mjWDlHcbpk//Mss97ccwRfdv0nZR/9iS/+2sZri+PMTNvINcCCDLiwrv4Q/qfePCF23kwfSwzb/wjlx2Xjw1cfNFB/PrxB3j4sCO4e0aOJIeEANauXoPrOpw861S0MTiOg9/nY+jQYXyw8T1WLF9O9+7tV0UhRKozmMafUbaLIYN9rFqVic+XR6/8kvY/gdgjq1YVMHhw6ieGALTZnuwQhBD7EdVaX57OkOfLMSdlH4ODi6tdHFymjoXaSATXuLjGoDVoNEO+71VptEdVUHNj7IpSiopnX0cpsJXCUhYKxZfLLWwsLMvGQmFh0W1sAb986Td79TO54Q9PsX7TDozRdMtKZ9Tg3nz+9XrCjsYYF8c1hCMOwYCf0UN68+NLTyY/p1vrA++GJYu/5NAjjm7XMfd377//PiXbt5P/+gOoLZu8ZtSuAW3QERdcg9H1ZXPdxk5iyiOvJDnq3RD6hgcuuoZ/HXIvT1432usDtNfqWP7HC/Bf9Zw3NU4IsUf+89H7bNmymXDYYdZps1EKdKyXX3TRB1dr5r/1Bn379WPSlIOajCGvC6IreuypWzh1Vh5+f8dcE69Y6TBm9NoOGVvsno0be1Nbl8ngQftGcqimBp57bjNXX/X7ZIcihNhH/eej9znuO99daIw5sLVjU6ZySCV8ZBPtFAIYbGXhsxSupYm4sPK+x3C0xtGaiNY4RuNqjTYGjXdztYn2KoqOEv2aOL6lFEopFApLKS/hE70f2xe0ffgsC59l4bdsMnw+LKUSKotMh1QiXHjzgwyZeCTjo/Ogv123mo+/KubAw4+rP8gYPvn3G4yZcjgZWdnMvefvhKt38Pxd13ZARKK9HH109E3V7NnJDaQj1C5mxim/4YATb+G+7+9eYqj6s5s5/f99TtMOS3mcdv/DTGu3IIXYv1VVVjHr1Nnea1nC66Q2BtfVOJEw0449jn++83azySEhupJ/vvs65VWLOHN2TzpyGdpRI318+eUQDhi9jWBaVYedR7QuI7MbvXu3flyq0AZc6Z0ohOgkKZMcivGSRAqjDcrrSI0xYGPh81kEfb7oxaxBa4NB4Rq3PhGEd5EbW24+lhaqT+cQPYMi1uLFSxBF7yuFHa0Ksi1vn5dEilUcJSSyvCdgtXOKaEtpBUMSH29az6AhBzT6QSl69x/MN0u/ZOIhR1HQbyArv2p52XMhOlT6BOa//fyePXXstdx3f1XTVdRUgNwBWfS89rm9Dk8I4b0+ZmZne6tvxl8rDUbreLIoIzsbx937Zb2FSHV+X4BAJ10Jjx/vY9Hi3owfV4zf33hhB9EZNm3qTUFBsqPYPRlB6N83naKiVRQWDk92OEKILq7Vl0Sl1ADgCaAAL7fysDHmXqVULvAsMAhYD5xpjClTSingXuC7QA1wkTHmi7YEY6HQlkJpRU2NRVq6wjUmloOJJna8ZA0YbLv+mVC/slnsKxBPDTWuHIoleJSKjdmweqnh0d4IqlEXaq/ayBskltRqD45bXz8RCUeora6homIn/mCQHjk94/uqK8uprCynZOtmlFIE7JTL9QnRJlZmH4bKNY8QnSLxtUwpMNHXMGXAqOh+IfYDNbWVpAf3fvn6tpo4wWLhl4UcNGWV9K3sZOFQkM1bM/e55JBlw3dO6MELLz7JMfalDOifwsurCSH2eW15RXSAG4wxo4FDgGuUUqOBm4B3jTHDgXejjwFmAsOjtyuAB9oeTnRqF4qiLWBjey+eKrHYN1YfVH8velmLheVNQ1M2fsu7BSybgOUjLeEWsHzx/T5lYysLCys+Tv0Zmp4P5V1M+ywLC1802ubTSnvKV5/1orqmHBTU1dXw9Zf/wXW8xFEkEianZy98tg+FomLnDgry2rfnkBBCiC7ImIQEULRaN/oP2nTk7BohUsr20sUcdnh6p55zwjiLLxYN69RzCli9tu8+04S6ORkZaSxf/lWywxBCdHGtJoeMMZtjlT/GmEpgOdAPmAU8Hj3sceCU6P1ZwBPG8ynQQynVp7XzxBIsFgrLsqits/h6jYVf+Qj66m9pCbfYtoDPbtfbrs/l7fMpP9XVNotXmfiUM9WWH2YbZWXUd931B9JQBsZMOAiFRXV1BQBGGwr6DsBxHTKzs9m+ZQNHTBrRThGIjlJWVkZRURHFxcUUFRVRVFTEt99+22pDdCGEaDcNeucBRhP7JKbhRGwhurapB+Z0+jl9PsOI4Z1XrSRg0+YCfH7FvrwI47HHZLBs+fvJDkMI0cXt1jwkpdQgYBLwGVBgjNkc3bUFb9oZeImjbxOetiG6bXPCNpRSV+BVFpGpvE9tLCw0BgvwWwonovhieWLfoD25YI19OtrKJW+jVduaP87EE0EKC5S3UplqdI69dcmpR7Ngs0YpCzccwZ+WBoDWLpblfeoRSEvj0/ffJi0tjWWLFjBiQB5zTjqiXc4vOk5xcTE5OTls27Ytvq2goIC6ujrWr1/f5PjRo0e3ewzVn9zIByN+z8w8uTgVYr+UsEiDMcZLDGmNMZKkFvsHrTUPPHgzF1/S6meXHSIjHbZuH0ZZWYRRI4qSEsP+YtnywRQU+CnolexI9k4wqLjiiv6sXnsPQwZdh2XJNZwQov21OTmklMoCXgTmGmMqEnsSGGOMUmq3MiPGmIeBh8Fbyj5+nuhELQ1YygKjomuQtVfqZRdpH9V4v2rmWK/cXkXnltUnimLT26w9TGA19J3Dx/HOQx+Sm9eLzKxuaNehsqKMYHomWVn1H3sEfAGqqysJW2F+dNHZe31e0fFc1yUnJ4fS0lKqqrwVS9avX8+6deuAWNNz73eourqaqqoqpk6dmrR4hRBdU6zvkIpVEUVf06UNitgflJWVkhYMtH5gB8rLtXDCPtasHcDQId+2/gSx2zZvLcC2FT26JzuS9tO3r6K0dDv5+ftY8yQhxD6hTckhpZQfLzH0tDHmpejmrUqpPsaYzdFpY7FSiI3AgISn949ua/08DdIs0aSQZbyki9EJaZfESp3mkjjNbYs9QzXZ6z1OTAo1PJb4/vqeRCq67L0yqtGRe8/n87Hp23Xk5vXC9vnI7dWbxZ99hM/vx3FcfH7vP1uPXgVUra8k3W/z4zueITMrnXm/vLzd4hCt27ZtG+edd16T7U8//TS9ejX9mMp1XRzHYcuWLRQWFmJZFsYYtNa4rhu/r7UmKyuLkpKSzvg2hBD7k4SG1G/84+/xzdOmHdtwupkQXZRSFoG0ZEcBvXvbbNgYoLi4HwMHtulSWeyGTZuymTi+61XYfPTJG5w66+JkhyGE6ILaslqZAh4Blhtj7k7Y9XfgQuD26NdXE7b/QCn1N+BgoDxh+lmrVLQxZizhEkvGoCxUk4vWllYI29XKY6bZvc2P0lzSx0tbxXoNxWKG9qps8uws3UZlxU6qqyrYvmkjwaBNbV2Y5Ys/Y9yBhwNQsmUjGKgNOdSGHAJVde0YgWiLXr160a9fvwbTv5YtW9ZsYgjqk0PgVQbFKvBc1yUSicQTQ7HjQqFQ8yfWO/j4vt/wfx9+w4ayCN0KD2LmBd/n/CP7kaZAV6/ijYfv45n5X8OImZxz9RV8b0RWw75YoRX86YL/4Z3Rt/Hazw8Cqlnwi7P46fqzmDfvfKr//gcefOHfrChxgAAn/fwJfnBETyzqx7/3jW/IH3NcfPzImr/x2zv+wZKirVQ5gNWde198jtFZFqCpXPoCp18/D6PS6X3QJdz2i1MY4N/L/whCiN1j6qdZzz7znPjmku3bkCWUxP4gEEjD50uN5sT9+9msWx9gw8Y+9O/X5stl0QaFA7teYghAqU0sWvw5EyccmOxQhBBdTFsqhw4HzgeWKKUWRbf9FC8p9JxS6lKgCDgzuu8NvGXsV+MtZd/m1HZ9byGPRnsTykzsWra59MvupGTMLqZ9qQbb61NIplFMKjrhzdugVWJiqH2rh+bPu4lPF68iGOiHPn4Er/xrIZu2V+Ck9YgfU1dXy503nM2k0YPb7bxi91199dX8/ve/Z+TIkaxYsYKbbrppl8dGIhFCoRDhcJi6ujq01vFqoVAoRCQSIRwOx4+rqalpfiC3iqIvlrBjwh3M/9lEcLfy2g8v4MS/nMtrPyplzvUfMOk3T/L09dlQtYDbzz+VRw+7i6dvHF8/RtooLrlxGv+8+W7gr7ib3uLhjxVH3HYahXWfcNaGmTz6zI/JVEDtYi5+sRr3iJ6El94dH3/+9dmYhPGfnLaUBWsyuPzJtzittw3UMeP0u7j76RsZ53zKbT+ax9/fmU9Q3n8KkRJeeO6v8ftHTzs2iZEI0Tnm/d+9jBlnOGVWj9YP7iSDB/kBPztKQ+T23JHscPZ5kYifr5YUMnFCsiPpGMcdl8kTT74oySEhRLtrNTlkjPmIXZfnTG/meANcs6cBabxEi0bTo19PTr3jPNKCaShbYVk2Pp8P27JQloWyFJatsJWNsiwsS2EpC9tno5T3WCkLLOKN22I9XYyr0dpgjPfVdR3vsdZoYzDGxXU0Rmtc7X2NOA7GNYTqQmz9ZjOfPPoupeu2x388Bt3Cj2r3HTJhePz+5DFD+fGdz7ClNqFhqIHRwwY080zRmaZOncqIESNYuHAhkydPbrFHkNY6nvgpLy/Hdd0GVUKu68YrhxKrjFpl5zHlyIHw0GJKl1VQroZy1AHZ3m9j1iiOGGbxr+XLKXXGk7g2S+bo73FY9nuE0VSv/A/f+sdywcgMwlsWM/6oi7zEUAMOpcuWxccHUAnjM63x8QGo2k6VC2ROYM5ZIzj/uts5adapnHT0SHJ2qyW+EKK9NakcEqKLy8wMEUhLbr+hXdmwqTt2wKV7dnmyQ9lnGQPfrO5PYWHXrBoCsCw484wC7n/wJ1x91e+THY4QogtJqbdmsbbTGk33PjmcfNvZRJwIkWoHFNiWhWXZWJblTeuyFEopfNFkkFIKy1LYth3dHz1OgYolh3T0HNFEkFe1YXAd1+txZEw0GWTQbn1VhzbeG3YvREPesF6c/OuzeWTOH6NTdRKnmXWMrMw0IjvrK0nS0vykBXx8sPxDXlnwKlprstOzqQ5Vo7XGtmzuuuCODopGJJo7dy5z5sxh7ty5LR7nOA6O41BaWtqkKiiWGEpMDu0Oy1IQq2xDJfwiJta3NZIxipOm5bK2road/16BOuB6xmQp2Ozia/G6qvnxm6Wj/cJUJmMu/hNn7ryB52//AU//bTZ33HM547O67gWcEKmuproKbQxOJJLsUITocA89/CumHJjO6FHJjqR5Y0b7WbK0J8OHu2RmVCU7nH1OJOSjpLQGS20hM7Nrf3gaCqmOe8MhhNhvpdi7MhOfSnbYZcegrdjKTaZBY+jEbYrolLNYPyITqw5KqBLSeImgaDLI6IbHRAeIT19TiW+mjTe1rL7HkLctHI6gFdGV1DT1b8o7ziEThrNj+xYqyssoKy1h/LB+ALy64O8MLhjC2MJx3H3ZPcyc8l3GFo6jsGBQh8ckPAUFBTz++OMUFLS8eoTWmnA4jOM4hMPh+C021Sx2cxwH13Wprq5uWwC6ghULNkCv0eQeMJJuZg0frqjycplVK/hojSZzxCh6RtPBbjyPE2T4rJN4ZcHnvLPYZfTMSfSwwJ8/gmULNxFuciJfg/FpNH7rLM64/m4evecUcte/zF+X1rbt+xNCdIg3Xn+Nt974B/+c/7Y0oxZdXsipYkD/1G50N26sj5UrexMJBZMdyj6nZEcx/fq+Su9eH1Ne3rUT3jk5hkmT8njw4VuTHYoQogtJmcqhWHcfg5fIyR/Wm7DjYFsWxoClvL5Aidms2PK78QV4TbR2IfYvHV2iXgFu7DxROpoJanAt7LW/1qZhhYUCtPGmjMUunpXyqkCMMRjlncTgZds66vJ6xqHjeOuDxSxe8BE+2+KVe38Y/Z4M6YH0+HFZ6VkAZAQyOigS0Zy+ffu2ekxsWpkxhlAoVL+MNPXJzFj1UOzYltR88Qz/WVBFyWfP8uDnmjHXnEj6KM25o9/lwd/8gvxrzkDN/x3v1ozk8nPHkAHUZeXx3ruLOfCUifQOKvwDTuDday/Hiozlx1N6eP+P9TiUzX+9mjuyLmfmyAzKlrwGXApA+qhz4uPP/OnxLHzh/vj4bH1h18GGi5n/6hIKxw1gy8K1VJJJXlZqNAQVYn+kkGllYv/xzTfL6Nc3k8zMZEfSugnjLb5Y1J+DpqxOdij7hMqqACXbqxg1Yj4ABb2+ZsGXx5Kf1/ziIF3FhPF+SkpTc4qkEGLflDLJIYg2oNYaF40vzUeoKgTKS7cYY1Ca6NL2Jl4ohNZopVDKeNPMjGpY6ROdVtaw9tJgdDQZFa0c0sabShZ7HKsyitUGJVYiYfASSNFYlVEYpbFaXD1t7ymluPum85tsDwaCzD35uvjjGROOY8aE4wCoqqzosHjE7vP5fLz99tvs2LGDQCDg/V4nrA7U+HF6enpzw8RlTD6XQw+aCAcdwUk/qN9++r1vcXrswfGvcFnCc4Ljf8KdCX2psfI4IJzGsDt/xfScaPrVymb+/Cfr4xpUzWsLsrEB/P0bjD/p4OPrxx/4G96cnxihxfz5d8Z2MuOMgQCMGHUXR13Y4rcmhOgoCX9jqqurMDKtTHRxoVAV/Qe+Q/+B3ZMdSptNnmjx5VfDmDReEkTN2bzZ4PcV0TP3C/JyKslLaKiolGb86EfQ3Jy8ADtJpGmJtxBC7LGUSg4B8fohE03IaKOxlBWvEkIDlkmYaEZ9xVC0H7TSpr5iyES/NqrniU0rIzptzJtq5h3mNaqmftqZhvgGolVE8dlo3lQ4SyWvAqKytpJ7Xr2HnKwcLpp+ER8v/5hVm1ZRWlnKldMvT1pcoqnp06fHp4tpXT8VMXE6Ryw5ZIxh2rRpHReMU8bqNTuw3A0UTbqUW0YlJqIivPbeFwzI74a/dhOfv/QAM69/NtXmoQoh9kSsOjaajDYm+oqa8DonRFdy/4O/5Mor+yU7jN02uNBi6ddDGDtmbbJDSRk1NQHKdtbSp+DvpAd3/QFoMFjFjnIIpnVicEmglFyZCSHaT8olh+IS+gEZowErWhWkMcbylpQ3CiwLHb2wNcarHjJ4FUTElppvppgnVgFkopml2Bv1+uog77xez6FoY+pYLLFeRo2mnyXTV0VfAXDR9ItYtWkV73/9fnIDErt0/PHHJzsEAJxt7/HH6+5nuZvBvS+/TH5iflPX8de7b2F7rQGCFIw+iifyZQqYEF2FUt5rZYPEkFIp85omRHvKydk3p95kZ0FBL5tlKwcxeuT6ZIeTVFXVaZSXVZOWvpx+vZeRltZ6w+6qSk0wrWsnT/r1Sd23ckKIfU/K/EVpnGYx0ZIfHZ1OZlmxhIxCe5e0XrWOMWjtRqstFMoQXbmMeOl8cxO9Yp+ammh/Ih1dxSye9IlWLdVXEBFf2cxEl7pXHTiFbHcE7ABht76utLSyNInRiE7hH8i5j87n3L0Ywtf3VP741qnN77Syeebv7+zF6EKIlBZ/YYt+KBJ9RWs6DVuIfZfWmgcevJnvndg72aHssdxcheParFo9kOHDipMdTlJUVwcIhxbSv/8KAv42LtQB7Ny5g7y8vA6MLPnGjgvw2j+e4KQTL0h2KEKILiBlkkOJDN4LuuM4ZGRlMHnKZDIyUqO5ck1NDQsXLiRUEYkmlJIvcbn6qsoKmUomhBBil+LTWJXCssB1lVd160anKMjUMtFFvPLqY0yanEOvXvt2wrNXvk2vfJtvN/RlQP9NyQ6nQ4VDNlu21JGeXkz37qvIztpKWo89G6ug11ts3nImfXrvm5VjbTX9uB089uStnHry9XTvntP6E4QQYhdSMjkERJs+ayJOhGAwSHl5eXxXYsPe5h7v9anjq0fVBxOrJurevVt8lTJvBbOm9u1LEJHKFixYwIYNGxpsGzhwIFOmTElSREKIfYlSFtU1NQSDwfreQ9H+fCpaPVRVXYXPTt3LAyHaYtHiz8HazMSJ+8DyZG1UWxdk8+YC+vTZmuxQ2lVFRTo1tXWE68KkZxQxdMjHWNbeN8nPzV3Hxk076dO7a69aBpCW5sOyZPq/EGLvpOzVnzagtYvjOGitCYXCDcrdG5e+N1cK31rOqOmHo/WroNU3CK5PDIHBdetj0tptftxWvjch9tSGDRs45ZRTGmwrLi7mww8/ZPv27Q225+fnc+SRR3ZmeEKIFBcI+Pi2aD3DR46KbolnhlBKYflsitavJzOr67yhFvunzz77gDHjUqPqvL0MHezjm1UZ2P48euWV7PE4WttYVvPXsB3NdS1qa/2EwwpX11Jb5dAj5zPycraTnr6zXePy++rIzCymqqqArKyufXV+0ondeOLJ33H1lb9LdihCiH1YyiaH0F4vhFgixnEcAO67789YluUtVR+9WZaFZXkN5xL3JWq8XHjifa+XkMZ1XVzXjT92HAfHcXBdF9u2mTt3bn0sWksWSCRF49/twsJCCgsLmxz38ssve81m27myTgix7wqmpbF0yVcMGToM266fQqaUVzVkKZs1q76hb7/+yQ1UiL3k6O1MnFCQ7DDa3YjhfpatyCbgc+jRY2ebnxcK+amugqrqGmy7DNfJwpdmYSsflqWwbT+WZWMpg7I1Wu/ZtYOlDEZbaKPQ2sV1vTYM2rhEQi5YIbIy1hAM7iTgr6Bv7wos5ezRudoiP+9LynaOIisrq8POkQosC8ZP6MW8//tfLr9sbrLDEULso1I3OQQYbXBjU7i0RilFbm4ulmVh217pZCwxlJgUStwXe2OcuDx47GtshbLEaiDXdaNVQZpIJEIkEsFxHDZt2hRvRu04DpZGkkOiXWzbto1evXav5Hnja3cR3rkdo8E4XqLSaI0yoF0D2jDacVj9pw8Zfu3dTQcwFXzyy4v5+cfeMrB2dh9GTprGrDlnMW1wJhZhfnXVuXy8phxtZTFgyon85bZLmwzzys2zuO/zAr7/5AOc1tvmihkzWNfomPzZ9/PYlYPZ9uwVXPx/3zbc2e985s27gEF+QFfw1ZM/4yfPWLz59r279fMQQrSNz2eTkZnFv//1T445drpXYqu9Fcssn83HH7xPr4LeZGSkJztUIfbKGbMLsLroQlWjR/n5+utcbJ8mO2vXy7nXhXzU1fooK6sgI6OIbtnr6JW/GdsOo7WPcDgdx03DGBvHCaC1H619GG1jzJ798AwacPHZDpY/gs8XRikXnx0iEKhrl+liuyM3Zz3ri3bQKz+Lrj5btm8fxcL/dq0ph0KIzpWSfyYV0SllrkO4LhJP1gDU1dVRU1MD1CeGfD5fg8eNq4caV04kVgnF7icmh+qnsoXQWpOZmUlZWRmRiBdLXV0dAfzx5JDUZYi9cd5559GvXz+uvvpqpk6d2qbn1G3dQsGhh+FsXRb9BYz+FkbvG6PBuJhdTH0ETW1ZBQz9AU/dN4sCG3TJG1x3zin83+z7eezKYdzy4AvRUetY8ccL+Kz6Ug6OzTQxNSx/9Dr6nngImZ/Xp4Menj+//gw7P+G2i3/ODVcMJ0DsU8EJzJ9/Z5No7pxzFsWTz+HsIeA038pLCNFOhg4bjlKKb1YsZ/nyrwmFwgTS0sjNyWHy5MkoZbFp47etDyREivrrs3cxa1bX7r8yZowP6E1xcRnGhAkEygmklZGdWYzfX00wrZI0P3TPgoL8ps+3LIdgsBKo7OzQO93kiQ/xxaKrGTG8H125LU/vArj8igI+X3gnB075UbLDEULsg1IoOZQw7Yv6yh7HeJVDruu9yY1V8iilGlT/AA0qh6xmPi5KnEIWayodm0YWDofjVUGx/ZFIJD6lrKamJp5MchwHn+rCry6i040ePZrbb7+dkSNHMnfuXAoKWi6FN64L4QhuXQivWUh0h3YxbthLCumWkkNNqUAmQQucUAQdbUzrnSxMaUkN9Yt9aCoXPsiv/96dR92APBUAACAASURBVH61q9RoHSuf+TPv66P4fw0Oqf9/GRTKsrAU3PDE31AWVLz3HlKSJ0Tn6Na9O4cedkSDadpC7Os+++9H+NPqgK7fN6u2VjFk0HPYdjjZoaS8vn0+ZFvJqfQuSEt2KB1u9BgfDzx0K9+/8lfJDkUIsY9J2YLb2EWqkzCtLDFpE/t6zDHHxKt9YtsikQjhcJhIJEIoFCIUClFXV0dtbS21tbXU1dXFtyVur6mpiT+Ofa2pqSEUClFdXd0gOSREexs1ahRffPEFc+bMYevWlsuCjWMwYQddF0ZXV+NWluNUlOKUl+KUl+CUlxIp20Zkx+aWT2o0ruuwddV/eP6u+1mkuzP1qELqL51cSj+6n3v/k8Fgv7dFV37Bw3d+QOFVP97lsLr0Ix59rYSh513caM9XnHDCCdHbKfxucS0AypI3pUIIIfZebW016Wn7x4cMO3ZUS2KojXoXLKGktCzZYXSasWOzee0fjyU7DCHEPiaFKoeafyHXWsdXCgOvP1AkEsGyLGbOnMmxxx7LkCFDeOqpp6ipqUEpFX2OadJfKDHJlNhbyBgTrxJKnFoWSzD5/X5qamqixzesVopFJm9txd5asWIFkydPblvlUMTBDf1/9u47Tqryevz457l3ZrZX2MY2liJNEMRuUBSNGrtoNIrYEjUmUaMm1sSWqL8kauwFu5LYoqhfCxJi0KgoICoCIr2zbGPL7JR77/P8/rgzwy7swqI7O8PyvH2NM3Pnzr2HfW2ZOXOecwLYTfUoO4xybJQdRFlBZMiPUo7baHZnr49XPMx5xz/s3s4bzgnXXMnF+2REvp8tqj+4h6vu+oxBv7kvkkkOsvQf9/NB4fk8flQhLOrooDYbZr7EfGM//vjjfts8NpAHHog0ShQecsp7/yd4mqZpWs+xbZtAKGk/++xWW5paEh3CbqW05H/A6YkOo0f07evl87nfJDoMTdN2M0mRHFIGOLRf/hKtHIombaIDxtr2CvrXv/7Fhx9+yM0338y1116Lbdu89NJLzJkzp11CqG2iqG0FUtvkUNueQ9suPQsGg7F+Q1K6ySn0e1qtG5WUlPDaa691aV8lHbZ8NZvsnDRa5n/mbmy7HES0ud5Z/542PYe2OQvn//h0+l3+EE9Pv5bYijIlKDzhTzx0rMJav5q1m5qxCdOwbi01ORUUpBnY61/n1ilr2e+Pd/Oj3G1foGcydOhQNE3TNK27Pf/CXxm+t8khh/auEfYdWbu2hUFVXXvdoLlKS+azeu2pFBT0/tYQlZXwy0vKePrZP3DGxGt7/bQ2TdO6R1Ikh/pWFpCb35eG72q3boy82W1b8QPtp435fD5qa2uZO3cuY8aMQQjBWWedxaeffrpdYqhtIqht4qft/baPd/TctpdktmjJCh54+mWssMUT9/wh0eFoOzF16tRdm1amQFkSGbKRLZFy8ljbIdEuOaS+77eqrGF95an8cnCA1UuXApDebyClGSnklVaQF9kt0JiFBx95ZeUUpBmAonXFHNZSzjEDM3RFnaZpmtZj6upryM7ctmK195GOIBSqJS9XN47fVVsaqyko6P3fI1GGEITDIUAnhzRN27mkqLs1vR7OufcXBGUwtgpGAIpow+jo3Pj2y8KiCZ4HH3yQ5cuXxx770Y9+FOs9tG0Pouh1tD9R2/vRS9tEUtum1W6iaGtDXZVkjXND4TDX3vk4tz44lcVLlnLQfqMTHZLWBbs6xh6l3ORQ0EL6w8jWMNIfxvGHcVpDketw7Pp7Ca6FVVO56deXcdll7uXuL1q78ESbmqUbcbzFVOb0/k/mNE3TtOQwb95Mho3IobQs0ZHEX3VtiMKCTxIdxm6psO//2LgplOgwekzYUTiO7pWqaVrXJEXlEIDp8/CT6yfy7r2vI4MShEAIo02SBkDFkj2wdfrY5ZdfTkVFRSyJ88Ybb5CSktKu8qd9gmdrU+mO+hNte7t9NZGbOBKGABWr1UgIx3H435wFfDLvGxpbAjS3WqxevZqgv4mjJ/6c1LSmBEWmxUt+fj6vTZtGQXo+K2fMBOlDWQ5IhZIK5Uj3fnQdphAM7+hAIpcJ981gQmcnSh/LjDZj6TuTNuo6prXbzcvAC59nxoXb7umh7MynmHHmjo4myB7/d2aM3+lpNU3TNC2msXELCxbN4qdn5Cc6lLhTCurrGxg4ZmGiQ9ktlRR/xfwF+1PQtwpP0rwLip8ULx1OcNY0TetIUv1aHHnUvhheDy/f8ixKKbd6qM2yLqBd42ilFKWlpQwZMgTHcQiHwzz66KN4PB4sy2r33Oj9bXsQAZ3e37ZPUdskEYBIcOXQFbc+TOmgUfhz9qZ/f5N/v/d/lFf2Z9gBE1hfXcsWSzcq7G0OP/xw6uvrqR89us1I+I6ZpkmfPn16KDJN0zRNSwzT9ODz7RlvgGtqLEqKP050GLu1AZXvsWHDOVRUZCc6lLjzpnjx+XSjVE3TuiZpkkNO2OZvx92MBy8ZRjrCMEDQZsmXhVLQ2tpKIBDAcRzGjx/P6aefzhdffMGf//xnbNvG63XnbQvRtXqetlVC215Hb9u2HWuEHV2OJogVDvXotDLLsrn9/ufw9h1EK+lMf/05Bu+9L2kjxzFy3EkMLs2lyR8mIy0NuzW5eyNp309+fj75+b3/01FN0zRN64qvvnmCU07OTXQYcVff4ODxvENZybxEh7Jby8leRyDwDps2nU5xcdK8FYqLk0/MJhR6Crgy0aFomrYbSIrfiI5lM/W3U0g1UnFkpBqiTdWO40hs210WVltbS0tLC1JKnn32WZqbm3n11VfJyMjANE13yZcQ7SqBdmZnCaK2FUPRUfaJ6DfkOA433/M0GeUjSUvPYt3SVzn0xAsZ2L+Mwrw0pFRsagjQEgizecVXnDZxXI/HqGmapmma1pNSUhMdQc+orq5j9MgvEx1Gr5Cfv4KNixsoLi5IdChxl5ICDz92HZddcleiQ9E0LcklRXKodnUNW2prt9suELHlYqGQ2zwuGAzG+gWlpqbGEkNCiNjSMyEE77//fqfnO+aYY7ZLHu2ocqjtMjalZGw5j+jhbkN/e/xFwln9KUpP5a2pD3LPPX/B4/ERCFlUb2llQ32AtZsbqV82m58ecxB7Dx3Yo/FpmqZpmqb1pMcev41zJ/f+5UEAffvOwzS/56AJrR2f109qygag9yeHAJJsho6maUkqKZJDQoKJB5s23fSVAhHt9+PEEj/R/j/R6qC0tLR2iZzo9i1btnR6vuixtu0ztO3t7auG3ComKaWbGOrhTtShlEJkUPD6sw9wwMGH88XyLWxuDNAatEhP9ZCV6iO4ejbX/+IUyvoV9WxwWo+YM2cO69ata7etoqKCsWPHJigiTdM0TUuckO0H9ozkUFnJZ4kOoVfp23c+sE+iw+gRRx7Zh3+8dDdnn3l1okPRNC2JJUVyyNVxJY/bgFpGxtlv7f8T7Sm07XX09qmnnrprZ9+mcih6WykVG3HvTipz3J5Dxtala/HOEVXX1vPYP9/jP/+ZyZE/mcg9f7+fkOWwsb4VK2yx8bt5SCPA+eefSuExl8Q5Gi2R1q1b1+Xv7ddff51TTjmly/23NE3TNG13sX79Gv4zawo/v7Ak0aH0iMWLNzN2jJXoMHqVgj5L2bBJkZvb+18nVVR4Wb7Cz38+eI8jjzg20eFompakkig5tD2BaDMpzN3WdvR8tEqobY+hjvoNdfTmuLNlZW1vt51W5p6TdpPTosvK4t2Q+pFnp0FuJaN/dBzk9ufN2asACLW20LzyMy49+3i9hGw3tnnzZgoLC3fpOevfupvwlhqUBGVLUKCkRCiQjgKpGG7bLHvgIwZffs/2B1BNfHLrBdz8cRMAZlYJQ8aM5+RJZzK+KgODMLddejYfL29EGpmUjz2Bp+64aLvDTLv+ZB6aW8Qvn3+E04pNLj76aFZus0/B6Q/zzCVVbH7pYi54Ym37B0vPZcqUc/n3n37JjDnLqbcgrWQ0Lz/7V1J7/2s1TdM07Xta/O0CMjL3jGZD9Q02RUWzEx1Gr1RTU09u7p4x2TUQBK+pE4yapnUuuZNDQrTr9wPbLyuL7he9bpvkiW7vrDl1VxNE246ydxynx5aVfTTnKxxfNrPfn8YNN99GitckGLZpDdl8PP1j7vjdhWRnZcY/EC1uzjnnHCZPnsy5557b5ecE66opPvBQhGG634fRb93o7egkvU7XmEsCDU1QdBI3XjMec+NXfPTK89x56Tw2P/53zuyzkC3Dfso1k8rwVs9m6pQX2eRcRLHZ5hBWNY9967Q76o0PPUBAbj1H/WcPM3efkja/aPpz992/id0TacUUewSBPj/i/BsuosBoYOFbj/HPlRYXDPB2+euhaZqm7VkWLvqAE44vTXQYcSclbNxUy/5j9JKyeEhPX0Jj0yHk7AErE48+Mp1nnpnFj48+MdGhaJqWpJI2OaQUKLYmY6LVOo7jdNhjqKNkUVcnlu2s91D0nG1jEQgk8R0VHwiGeO29j1mydAWDho0gzWfiD9o0By3Wb9jEH397HmmpKXGNQesZM2fOZMiQIRxwwAFde4KtUFJibfwmkgiKZIMit5WSoByUdMgYckLnx8msYNjIkRSNHsmh++ez8Wf38uZ7qzjtktHcfcWYyFH3pXj9bFYHoTgj8jzVyuLnb+LWaw7ljlu21gpV7jU0dltu+YQ7pi3h6smZGLF+YjmMGjVquzB+c/mk2O0x/Zv43bIA6OSQpmma1oEHH/4Dxx5XRkm/REcSfxs2tDCw/zuJDqPX6lfyKStXDyUnOz/RocSd1ycYP76Mp5+5gwvOvyHR4WialoSMRAfQka2LtbZW7mzbHLqjptHf97JtddC2l/bnV11OOv1Q9z31CstWriG3TyEHHn4c36xuYF2dn2Ur17Fqwcc6MdSLDB8+nLvuuovrr7+e6urqne6vHAfCFk4whBMIu9fBEI6/FbupAbuxHnuLe+kq4csg1QA7ZCHbzuJTYepqW+nri26QNM97lNvfzGFkVmflc0GW/ONBZsnDSGu3i8JxnMhFIlX7x+zmVXwy7T2OGZKBpmmapnXEtkPJ+QK2mwVawXGWk5+3PNGh9FoZ6fV4zJX4/YmOpGekpgma/U2JDkPTtCSVRJVD7d9kusPKBJZlYdt2rHKo7W3ouCF1R/c709WlZdHzWpaFZVkgQKj4rSu74Oo7WbduPededCl7DaggZDks+G4NG1Z+wU2Xn4dhbJ1OdfVzv6N/URVpvjSuOOkKps2exurNq2kNt3L5Mb+KW4xa4siAhd3cTHjzJpQdRjk2yg6irCAy5EcpJ1p+t2PLH2TSsQ+6t/OGc8JVj3Pbj6twuzhYVH9wD1fdNZvKXz3MHV6AIEseu5irF57G469eBYvu6uCgNute/g2Xv92fP069cZvH/CxdutS9KTzklA+gJN0AZdG0YTXrNq1jY8Bk2XdNHF2Ut0e8+Nc0TdO6btobz3DxxXtAyRDQGvw/hg35NNFh9HpD93qNpcvD2M5B5GT37oaHCoXH0K+uNE3rWBIlh7alOlxW1q4hdAdLytpu7/KZOkkQbZsoahdLZNlbR7rjz8rm2gb2GXsgo4cPxLZtWltDLP3qf9z1+59jbPNLXaFI86XF7memuT2I0n3p3RCJ1hMWLVrEdddd17VlZUpiNdbjNDYQ2rAG2dqEkjbRTJBos8xspz8H/SZyy7VHUFVSTlFeOm1bCm2YfgdX3L2AEb99gBuOK3M3Bpfz9oyNhBof4rzjHort+8i5JzLn9le486AMsNbz33dXkbLfRYzJ2fYFSCZDhw5lO8JLdukghpcOYviYvTn6sllcdMgpFJnb76ppmqbtmb78ai6S9UDvry6VEsr76cRQT6mqnMFXCweRk12Q6FDiSiAwTJ0c0jStY0mUHFLb3BJAtCG1s13/n456DEVvf59lXztKELVdWhZNELmNf+P36YIQYDhBnnryCQrycynvV8BtV3beY6iquIrMVDcpVNanDEMYNAea4xaf1r0mTJjQ5X5DSin8q77DqijF2rTR3di2Uk60ud5ZW6y0EgYNGdJBEkZxw91fMPjyh7jhuDJiK8pSBnHBfU8y0XZ/PkJLHueqv67n1Dtv4aQRboLS3vw5s9aZjLxwOBnf90fEsbB7ZvWmpmmatpv47LMPGTFyz/jga1N1gEFViY5iz+HxhCgunEV19YkUFfXetg1SKgLBUKLD0DQtSSVRcqgjIpKMke2SQ52Nru/qGHvouKKiswRRR72JQGB0duyu/wM7FAyFUNLm889nc8CYUdz4mx1PsUr1pXLyASfF7g8rG8qwMrc6o6VZrytOdlOnTt21UfYKlCWRIRvZEna3xYbniXbJIfV9e6bLGtZXnsovBwdYHVkGlt5vIKUZKeSVVpAX2S3QmIUHH3ll5RSkGYCidcUc1lLOMQMzulhFZ/Pc6x8yuDyPFGcLK2e/ypBjrqcwyX87aZqmaT3LljWMGrkLfy93Y/UNzaCTQz2qtGQ+Xy3Yl6KiAYkOJW4qK6FPn3QWLZrP8OFjEh2OpmlJJmnffimlEIBlWYRCIcLhMAUFBTz//PMJi6m6ejOhUMjtOYSKjQnv7vqhP9z9DG8/d0+X928ONHPB/RcA8PTlT/PMzGeYtXAWAA9ccF83R6d1t11JDOXn5/Pa669T4M1l+VvvgQRlOSAVSiqUI1GW3DrDXgiGdHQgkcuE+2YwobMTGYXMmHL+TuNJG3Ud02a0OzDZ4/7CezO23dND2ZlPMePMjo7iYfKpR8bu7XvgEUzc6Zk1TdO0PclDj13L6RNL8CTtK9fus2pNI0MHv5ToMPZI+4x8ko2b/9Srew+dPjGPV15+XSeHNE3bTlL/iRXCrdrx+/0Eg0HWrFmT6JAA2vQ8cu8rujdB1Ny6a+WePtNH2AnH7tc113VjNFoyOfzww6mvr6d+9Gh3eeMOmKZJnz59eigyTdM0TYsfx+GHl2bvBhxbgNpEdtamRIeyx6qt20BOdmmiw4irsLMH/DBpmrbLkjY55BY+CEzTZNOmjeTm5u3sKT1iw4YNeL1ed5paFyei7apAS+Mu7T/xwNOYNucNQlaIXz36K4LhIAYGqb7UuMSnJVZ+fj75+fmJDkPTNE3TesTq1UspK0kno/f3oWZTTSt98uYkOow9Wp+8T9hUfRLFvbj3UIo30RFompaMkiY5JLarvVGAYu+hI5j/xXxC4eRonubz+Rg1YlSkWig+Wfdn//6HXdr/kCEHc8iQg+MSi6ZpmqZpWiJ9+PFzTDyt91fCSglbtmxhcNXiRIeyR+tX/CVffjOWPn0G4E2ad0rdy6uzQ5qmdSApf+W1TROV96ugqKCYUChIOGwRDLYildscOtpsd1cKeLqazlEKhOFWBxnCwGN6Sc9IJzUlBZ83OrtJdXu/IU3TNE3TNG2rjMw9oxK6piZMv+KPEx2GBgyofId1G86lf0VOokOJixOPz050CJqmJaGkSg4JBMIwEFKx6Zt15A4swHFsUrw+Un0pbrVOLBPUU2tl3fO5DbLV1hH3gMf0YkSSR27lk04VafE1Z84c1q1b125bRUUFY8eOTVBEmqZpmhY/Dzz0ey66qF+iw+gRpjmd0pL5iQ5DA7KzNlLi/JO1a8+hvDwr0eF0O8OA++6/nisuvzPRoWialkSSLjlkIFAI5r78KcdcdzJSCCQKFavSaTOnO3qrm3MybgJo+2VuEgUCDAQejwcsFYl4+0VxmhYP69at45RTTmm3bc2aNXz00UfU1NS0215QUMC4ceN6MjxN0zRN6xZSSp574RZOPLEk0aH0mNKSeYkOQWsjL3cta9fVAb0vOQRw4EH5PPfCnUyedH2iQ9E0LUkkTXJItKm9EYbBlnX1vHPbKxx/y0/xpCbLuli3asgK2mxevJ5PXpiFEG3iTmhs2p5i20bolZWVVFZWbrff66+/7la8xalxuqZpmqbFS0NDHUoJCgv3jL9htXWSilIr0WFo2ygq/ATon+gw4mLUKC+mR/DUs3/iwvNuSnQ4mqYlgaRJDrnc2iEDCULQvLmZFy57LFLJo7plIVnnx1A7uMfWBtTKjdIUBgYCQ3jYmhpSkX+FpnXd5s2bKSws3KXnrH/rbsJbalASlC1BgZISoUA6CqRiuG2z7IGPGHz5PdsfQDXxya0XcPPHTQCYWSUMGTOekyedyfiqDAzC3Hbp2Xy8vBFpZFI+9gSeuuOi7Q4z7fqTeWhuEb98/hFOKzZRgZW8P+UBnp++gOowZJQfxKtP3Y4Hm3UvXcwFT6xtf4DSc5kyZTL9vYBs4uvnb+Tafxi8O/2+Xfp6aJqmab3LrA/fYsiQtESH0WNqNtdS0bunp++WigoX4g90/yqFZDFiuAdBGo889kd+ecltiQ5H07QES6rkkBGZ/yUwYo2gTWmihIzMLusOHR9F0fFSso72FAiIVAy5KSJicatuSmJpe45zzjmH0tJSLrvsMg444IAuPSdYvYmigw/Brl4U+baNfO9GbislQTko6XRyBEmgoQkG/poXHjqZIhNk7Ttc8bNTeOL0h3nmkkH84dFXI0cN8u39k/nMfxEHRscIq1YWP30F/U44iIy5K2NH/evZF/PNiY/x9NsD8AKyfjrXfNjEPYelR/bYhxkz/rZdNH+bdCZr9v0ZZw0AW3bpS6Bpmqb1QsuWzeHb797n2OMygD2jEfXibzczetQjiQ5D68SixTWMGF6Q6DDiZvhwk4yM/ESHoWlaEjASHUBbos1/RiTtIgwwDCPS+JkOLqLNtehgO+0eF51cOjq+6PBiRBJD7RtR665D2g8xfPhw7rrrLq6//nqqq6t3ur9yHAhbOMEQTiDsXgdDOP5W7KYG7MZ67C3upauEL4NUA+yQhWz7Ha3C1NW20jc6pA9J87xHuf3NHEZmtf++ryqEjbM/YVVAufst+YKxlW0/+VU4jhO5SGQkk3r1cy9y/1Uns3eu2eV4NU3TtN5n+ox/sf/+GTvfsZeob3AoLPwc0wwnOhStE337fEnDlkRHEV/6XYymaZBklUPgpllUpE4omihyp5Sxg9Ih0cHt9ku9Ovq19/3mnkXaYgvR5kzueXTFkPZDDB06lHnz5jFp0iReeOEFioqKOt1X2QoVtpHBMDg2SrkXHAflhFBSouwwytnJi00lcRyb6hVzmPXCw3wpczjmsEpSYjs41P3vYe77NJ0XI62/ZPMXPP63D6m89HHgqXaHO/Hay/jq9w9z2XlzGb9/Gos/WMlT73gBO7LH1xx77LGR22mM/+tL3Dg6DWHs8Adc0zRN20NkZXlJTd1z/iZUV9cxeuTcRIeh7UBW5joaGoLk5fbeSjaRVOUCmqYlStIlh1R02RbR9FBkhDziezbWbf8cd/mX2OY8ClRH+23fh0hElu3EIhTRMfea9sN8++237Lvvvlx55ZU7TAwBKMvGCQWwm+ojSSAbZQdRVhAZ8qOUA0rt/LX1ioc57/iH3dt5wznhmiu5eJ+MyPezRfUH93DVXZ8x6Df3RcoMgyz9x/18UHg+jx9VCIvaHy6weR2brCIOPW0cVY3zWCrrWNYiGZ4Z3WMgDzxwpXtTeMgpT0HTNE3TAJqbmzjt1D4Y5p6RGKqrcygomItp6kbUySwrcxPrNjTTm5c5Wo5+J6NpWpIlh6K1NzJyT+LgoEAplHK3dc85Ov5Eqm3XIdXm/1sfb18tJAQI5aaaJNBdS8ve+WAuz74xk8qSQvoV9qGkMJfigjxGDxtAdma6nj7VCy1atIjrrruuaz2HlMRqrMdpbCC0YQ2ytQklbWIN0dv0IHKbue9Av4nccu0RVJWUU5SXTttFXRum38EVdy9gxG8f4IbjytyNweW8PWMjocaHOO+4h2L7PnLuicy5/RXS7nwLc9LT3HRGKR4mcsbEN/jFa6uZMrk8smcmQ4cO7cqXRNM0TdvDfPb5RxxyaKKj6DmNTdUM2+vzRIeh7URKSgvgx7YL8Xh6Z+JyQH/Fv157gomn/TzRoWialkBJlRySkf87SHLyTE6eXIH0GkQaD2EaHgyfF8MwEaYHYRgIw8Tj8yKEiTAMDNPE9PoQhokw3cfd2+7bXiUlKIW0wyhHoqSDdByccAilJCqyzEY5CmlbKMdGSgdpOzh2GKQEJTGUBFvx5L0rIy2pReRf8MNTRD85Yj8efnEG6f33pxFBYwt8sGgFL/xnGUo6tPpbCLRsobZ6AwADKkoYf+De/GT8/hT1yf2BZ9d62tSpU3dpWpmSipal3xIqKiK0bLW7UcQWPLZbWal21tw5rYRBQ4ZQtG2rH7mZ816t5E8PnE2+EWD10qWk9xtIacYIrnp1BldFdgt8fRc/u3oFkyPTyh5MV3z0zj94p/9JjMgNsuq//6V08Dh0JyFN0zRtRx6bcgf7H+AFvIkOpUcs/nYzo0dO0VVDu4myfh9QvamY0rLeWz0UdjbQ3NxEVlZ2okPRNC1Bkio5BBKJRKE45Mg8pOGgpECYausCsMhKGaGkO9UM5Y7wNoW7NEyBctwkjfvuOLq8JlILpBQoiXLc5ylHxh4jeqxolZKKTElTkWbU7h4oqQg7Dh7DrW9SbeasRZ75gzU2NlC7cR0FJW7FRXF5FYu/nM3wMQfH9vn3689SMXgEraEgz0/7L8++NpO3HvsjWZnpnR1WS0K7OsYepVCWRAYtpD/cQcutrQminRUOdSq4FlZN5aZfT41tGvnH17lnXOYOngS/+NuNeB58hidveJ9WwNt3CC9dlI8R6zmkaZqmadtraWkgxbfnzHIvKpytm1DvRvaEpWUnHp/NM8/didco4MADD2P0PvslOiRN03pY0iSHoiPgFSClpKCfh7AjMT1uMsYw3MSOoSRId3SYktKdHBZL/ih3dLdhuPsASgmQCozIYrVotkc6bhUQDsVDali/IBuUQiiFVCqSRFIgJUJJZKQEQ8los2ywHYlSCiW2digy6J6O/weNHsbS5YtiySEhBJvW4tWbCwAAIABJREFULmevEWPx+NyxUXl9CwkFAozcfxy2ZbN+9RLOvPIv3PeHSxhcWdINUWjJJj8/n9emTaMgPZ+VM2aC9KEsB6T7c6Ic6d6PZoWEYHhHBxK5TLhvBhM6O1H6WGbMmLHTeNJGXce0NrullI7n0jvHc+l2e3ooO/MpZpy5o6MJssf/nRnjd3paTdM0rReprl5Lv9J0qqoSHUnPKSman+gQtF2wJywtMwyYPKmQ+V/CR5+8opNDmrYHSprkELhVODJSi+PxCkJhhZQK0wNSOpimm5wRhkIpiVAGSHcpGBI3MyMV0jHcyiLlLkkTRGbTQ6xJr1IO0pFUjtxIZqnJ2q8lSCdyLLn1uJFKIffNt4MQ4Dhu8khJFYk2uqCn+yqHfnbiYVxx+2M0NzaQlZPnHl8INq5dQflAt2dLQb/+rFg8HykdPF4PlYNGsOrbBfz6lod57PZf079sx02Ntd3P4YcfTn19PfWjR+M4zg73NU2TPn369FBkmqZpmrbr/P4W3p7+KGf9tCDRofSYunpJeT9dNbS7ycpcQXNLf/J6cQcHj0cweh/BqlW+RIeiaVoCJFlyyO0JpJAox3GXfBkC5UiEMJEozEhvH2UYSEO6fYZQKGEgDMcdie3YYBiRxs0ChYEt3DXsAoWhHISyGHLwSnwF5SBSGXb4Ihb/ux/KNpCOmyRSthVZehZJGjkOUjmxbVJKZGSZmmGY7ZaW/VD7jhjIbyafyJSXZ3DIMRMxDJORB47ny09mUlTaH19qKhUDh7Fm6ULWLF9M/8F7A2BZIfY55DguuO5+Jp10GBf99JhuiUdLHvn5+eTn5yc6DE3TNE37waY8eQsnnLjnLCerrZMoOT3RYWjfQ0XZJ3y7dAR5ub37w1evV3HG6X147Y0/c9rJNyY6HE3TelBSJYei3JY/bgIG03CnzBsgJCjDQTkKwzHBo0CZSCEQwnD7Exkm9WSxSvRno1lKg6+IsC8NUrxu9ZBHginZ25zHyPxvAS8oG192KUOPXMXC90tREvLT6qhpzERFqomUI2OJIeTWBFE8C0uPOGgfHnjuLbbU15Dft5j8PsUYhkFD7SaKyvoDkJ2bT0tjQ7vnCQwqBg/nxXf+p5NDmqZpmqYlrQMPKqFfyZ4zhbVmcy2jR+kJZbsjrzeA17MBv7+IjIxERxN/Pt+e83OpaZrLSHQAUWqbNIuKTAVzJ4XZbiJGutVE0nLot8xG2bY7Tcy2kbaFbTt811LMy4Gf8Km9L6sopVGlEJKCkISQUoSkIoTkwJLPABOw3IvwkJLXn1EnrCMjZQsDCtcgI5PKlCMjCSI3FikdlLQRyl3WE69fnQX52Qzq34/6ze5UMsM0yc7Np6mxLrZPSnomoYC/3fOkklQMHIFt73jZkaZpmqZpWiJlZibNS9G4q6m1KCr6VDei3o317fMVWxoCiQ6jRwijd/ZW0jStc0lZOSQApEQ6DkIYYCp38JgCiaBkdQpZfoljKcxIX6BVwWLmtu5Dk7cPwUyB4wgMB7fiyAAc4ZYeGRKkYkDmEtxxqQ4gIzO/JZ60CoadvBGxIOw2t1bKrWCKVQw54LhJK7ehdXyNHjqAWfNXxO6nZWQTbN2aDDIMgdwmDm9KCh6vl5T0rLjHp/WshoYGmpqaIksmI03aDYPS0lIMY895ga1pmqbt/pYtm8PAAXtGdYK0oa6umn330VVDu7P8vBWsXNNMKWmJDiXuQkGdHNK0PU3SvpuU0kY6jlu94zhIW6IcG1+9IKfGQdmSonVhHMdm5rrhfLB5NA3hNEK2IugIcMKMMufzI+8sBhmLCTmRqiHlVhCl++oBB5TV5mIDNsLTB/apIi+3DmnbIN04VCQG6US3uZU58fzVWV7Sl3CwNXbf9Hjc80eEQyG83q1N40zTQ0P1BubO+j/8Te2Xm2m7vzVr1pCamorH48Hr9eL1eklPT2fJkiUEg0H8fn/sYllWosPVNE3TtE5Nn/Gv7/U82wbLcq9te+f7J4NNm1sY0P/tRIeh/UCG4ZCb/V2iw9A0TYuLpKwcUoC0LGzbAiUxbQPHtJGGQf43KQQMm5DtkLvBorA+zJjCt7HSDDb48vjGrOL0vtMhRbKUAdy45Rb8vlxIITLe260QEkYTSAtEZJqTciJnjuwjUhh+WgsbZn/Ld7PLQYFjWyjHwVESJSWOiv+yrbZVQQpF7cZ1lA8cBkBTYx0b1yynb1Eps97+B7Zl8/uLT+eIg0aSkZYa99i0nuc4Dunp6SxbtoyWlpbYdqUUNTU1wNbvGb/fT3Z2NuPGjdv+QKqJT269gJs/bgLAzCphyJjxnDzpTMZXZWAQ5rZLz+bj5Y1II5PysSfw1B0XbXeYadefzENzi/jl849wWrGJCqzk/SkP8Pz0BVSHIaP8IF596nY82Kx76WIueGJt+wOUnsuUKZNZ9Mjv+Of7X7IpBL6+Q3l56gNkJG3qWtM0TesOYge/55WC5d9CoBVy+kBFf5AO/G8mHLbNZx/rPBAohchsjqSUnTWN3Jw1iQ5D6waDB75Li38chtm7K2tMj34hpml7mqRMDgHuKwDHQSIQpomw3clkdsjB4wmTL/xkGmEQDhAmTUiyPTUMTf8WCBNWHm6rvpx6T6a7tMyDWydlgxIC23LwereACkYeiCSGIsvU3CRSBv32z2LNt434a9KRtoVCudPMZHQpWnwtXr6W1MxsAGo3riMY8FNQUkZzYz0LPp4JQE6a5IyjfsyEQ/ahqE8vnq/ZC23evJlzzjmnw8emTp1KYWFhu22O42DbNps2baKiogIhBEK4SwuVUkgpcSKT9DIzM3dQPSQJNDRB0UnceM14zI1f8dErz3PnpfPY/PjfObPPQrYM+ynXTCrDWz2bqVNeZJNzEcVmm0NY1Tz2bfsE6ef3XsXfPtuLydf9nYMK/Sx49V5eW2vx0/LosoH+3H33b2L7i7Riij0213yZyU8uuYmheQGWvD2FR79p5epR6bv41dQ0TdN2J7bV+Ydstg0rVsEYCY0NsF7AiiXbJ4YAymzYuB6+U5BfAnm5YCbRK1wpobBgcaLD0LrRppoA/Yp79wexRx6uX4dp2p4mif50bsNxUI4NCGRkVDwoPOFWikQLqXbY7R/kOCBDIJVb/aMcEGGmbzmKlcFiRKoCodzkkBAoIcCAdf48qnLWgFoPoiRSOcTWa6LHymG/U1fwwcP9UNKJ9BpSkSVl8U0O+QNBPpyzkKphYwH47uvPyc7NZ9G8j9hSX8d5px7JUT8aw5qm75g25w0+f+sNstKy8If8SCkxDZO7J/81rjFqP0xhYSGTJ09m5syZDB8+HIBFixYxYcKE7RJDsDU5BCCEwO/3I4SIJYSij0ev7Z3V22dWMGzkSIpGj+TQ/fPZ+LN7efO9VZx2yWjuvmJMpNn6vhSvn83qIBRHp3OoVhY/fxO3XnMod9yyMna4WXNaKDn5Es4aNwAvMPCX53PNNwF+Wh59gZHDqFGjtgvjn0/cjDfyAdVBI0wufLsGa1Ql3i5/JTVN07TdjddndvrY5o0w1AcFQegTgpWLYNwOXnaV2GCvh1UbYYkJh06IQ8DfU22tRWZFoqPQulPjlnqKC/phdP4tvNszPXD/Q9dz+a/uTHQomqb1kKStF5TSwYlMIXP7DllI26JItuCxgwgrDE4YZDjSLygEBIEAqCAHNXyD124lGFaELEXQEgQtQciGUFjw+voj3OfYy0D5I8cIA5FrZbnLzmQYT3oJAw5aF4nDjk1Pc+I8DezFt2ahEBSVDcDf0kSgtYVASxMH7N2f+/5wCT8/81j6lxbxxpw3qSoawN6VI7nn5/dy3NifsHflSCqL+sc1Pq17nHXWWViWRSgUYuPGjViWxVlnndXhvo7jtLvYto1lWbHEkOM4hEIhgsEggUCA1tbWDo/TEeHLINUAO2S5FXvRB1SYutpW+sZaW0ma5z3K7W/mMDKrfSPRqkLYOPsTVgXc6rvmJV8wtrJt00bVJn6JjFRke9v8JnKaqimpyKUXv97SNE3TAK+349/0zc2w6VuoCLr3DWBgFz6PK3dgPwsODXZfjN1hc63uAdnblJZ8yObaUKLDiDtDxH+VhKZpySNpK4eUHcIJB8EwEYaBUoLBn+VjGHUYKWGE6YDhQNgCKwy2BbZ0x0EEFAUNG/gg/VRIUZACdqlkv1UfEgx5wSt4bPXZNAQUt4+8G6z3wTsOd1kZxKaXKdutBVaSgQdm8830VkC5/YZkdPlZSlxG2R993k0EQ+6o06Vzp3PBxKP4y0V/6fhrhWJ4xXAyUzMBGFo2lOz0bJoDzXGITOtuXq+XqVOncswxx7DvvvsyderUTve1bTuW9GlqaqKhoYFwONyuWsiyrHbJox1a/iCTjn3QvZ03nBOuepzbflyFWyhtUf3BPVx112wqf/Uwd3gBgix57GKuXngaj796FSy6q93hjrrgJKbf+R5TX05jr8Z5vP/OHH7/6rVsrbLzs3TpUvem8JBTPoCSdDczJFsW8Y+bfs8LTcfx3lM5u/ZF1DRN03YbM//zDg1NX3L2zwoAdwmZp80r0poayP6BjaZXvA3OXjB48A87zg+1+NvNjN3nkcQGoXW74qIFrN/oobr6JIqKfDt/wm7qwgtLmPPFX/liXguX/OLWRIejaVqcJW1yKFq3oKREKkn6+gzStziQbYEIgUe6CSHHiVQQWW5iSNluYsdJB1uBpcBWhCwPjSEfGMLN/Qgvz686g6ML/s1hBZ8Bi8Ac6HZAjDanlpFjRcbc27bEEJEEklJEs0IKujVB1BoIEQyFMQyD3/9iIscePhZzB2PKU32pnHzASbH7w8qGMqxsKAAtzU3dGJkWT1JKrrzyyh3uE10qVldXR2pqKvX19e2er5SKJYocx0GpnTRL7DeRW649gqqScory0ttV62yYfgdX3L2AEb99gBuOK3M3Bpfz9oyNhBof4rzjHort+8i5JzLn9ldIu/MtzElPc9MZpXiYyBkT3+AXr61myuTyyJ6ZDB06dPt/e/MCnv7d73lVncZdf9++8bWmaZrWe5imh/RU9+9Tqx8Wzof9f7T18aZ6qPqBvX49gJHgV7l19ZK+fedhmuHEBqLFRWnJfL5aeBBFRWWJDiWuRgz3sqUhnX/PfJujJhyf6HA0TYujpE0Otc22KKXIWZ6FcEIIK4zAAhxwbLBscILubWm714YNdhjCCnxAWPHL5bcQsiSYJsoxUNIATwZn/Pch3j3ybPbN+RrMRvAMAQw3QeQ4W5NDSlHYv5Wa1ZlxqRRq65gL/sD+o/bi9t9O6tLUseZAM/e+cS95mXmcP+F8Pl78MUs3LKWuuY5LJvwiztFq3eXZZ5+lqKhoh/tIKWOVQuFwmHDYfcGplIpdbNtu15x6h9JKGDRkCEXbVfYrbrj7CwZf/hA3HFdG7DOxlEFccN+TTLTdV+2hJY9z1V/Xc+qdt3DSiDR+15pCVVVu7BeLt3AktSvrsSjf9gTt/PvOG3k5dBJ33XcRo7OTdrWrpmma1k1sx/07Mu9jGGfBhzPgsKNh+WLIq4MfWj9qAIEEr/ppqK9m5IhPExuEFlf5eXPZXFNMYUHyvqXqDjk5KXzzzYpEh6FpWpwl7buwtgkY0ZxKZr3PbSwtIhPFpOPWITuWmwhywmCHIlVEIchoBifEZpnKnxvO4O3aCYQCklDIIRyGcNAk3GoSNnM58t2X3OeG1kPrp2A3RI5ju+eR7vnGHF4f65HS1di/jx//aAz33PDzXRpH//Xqr5m1cBYASzcsZdbCWXyz5psfGInWk/r167fTfaSUWJaFUirWpygUCsUSRZZlxZaWRW9/L7KG9ZWncvLgAKuXLmXp0qWs90sQKeSVVlBZWUllZSXlxVl48JFXVk5BmsF+fYP876GHeXPOEpYv/YqZzzzAPodHl6l1bsocD4ecOY7M6uUsXbqUZavrCfXuCbGapml7LNu2CFvuq6XCyJ+pw8Lw7juQshYqf+CSMoAyoH4tWAlKEG3YFKCo6AOEiG9/Si2xSovn09y8KdFhxJ1lKcLhzibgaprWWyRFmrtPVQFZ+Xk0fFe7daNwXzRIpTDqMmL3t6OIJW/ci9tEWg6sYcBb7+BPKyHkTcPJssCnwGOAxwSfBwzDvYh8Bj/1Pt+NnYCobIG0z93jph4UqxpCKTL7ZiKVwuwsljYh/RB/+PXPdmn/nx1yFtPmvEHICvGrR39FMBzEwCDV17tHbO6JPB4P06dPp76+npqamp3u32nlkMhlwn0z6HSYi1HIjCnn7/T4aaOuY9qMrfd//c8Z/LrN4wMH3xs7R9mZTzHjzI6P88qM13Z6Lk3TNG3395fbr6Fyr74U5mXwxUewb5sXTccpoBvff+4fhi8/g/0O675jdsXKVQ1Ulj1HZubmnj2x1uMMw2bk8Edoab0Dw+i9n2qNGSMo6BvvtROapiVaUiSHTK+Hc+79BX877mY8keHVgkhOBkGK34dCgBIoJdxHFVuzMEogpaCpOR2rVSHSLTI9AZwQeDxBlIBAKMU9oPS41wCm4SadBGxoLWFm5sEcNe8TGAWkA+H1YBZGApEgBfsP28QXi0vcEJLkb8AhQw7mkCEHJzoMrQdMmDABx3Hw+/1IuXWCRNveQiKSvFRKYeygV5WmaZqm9bTGllqG+MqobIZ419QoYEsgzifpQGrKVzoxtIep3txKSXHaznfcjeXkJjoCTdPiLSmSQwCmz8NPrp/Iu/e+jgxKEMLN2ygwt6S5eR0ECuHmhFQkQSQF/rCX75YX4DElKakOZ8z/HaNKV+KzQxhh91WB5QlgqxSQChzTfa4hIskhAcrDm6vGcdTAT2AxMAzwroUULxiZbibIcSgvDvDF4kjDbJEk2SFtj/LjH/840SFomqZp2vciHYkXSOmBcwncl3o9rapyZs+fVEuoxsZaCvuWYybNO6vul5UF//ngVY484vREh6JpWpwkVVnByKP25fjfn0FABiPDwAQSMJrSkBgoZbjVQ2xNDIFgRXU+aQ7kCJuw8uF1TBZs2psUKfGFg/hCraSEA/hCrRjBEATDELQgaEMocrEUX62sgiogFdgI2IB/jduPyLbdCwInMp5MF1dqmqZpmqZ1XX5eBvk9+Nladg+vsF+7thHDkDvfUetVSvt9RHVtgjug94Da+oUsXPhVosPQNC1Okiq/veDfX/Duva+TZqQijK1LY6QQSGUilZsgUkqghEBIAY4g1YEMj02GcMg3m/FaofY9ipTC8fgxHBuPY2M7XsIyzV1WFq0eCjs0NKZCJpAH+HGTQ8oGVQ2+ArAdbOWOdRKo2Ko2nSTSNE3TNE3bsb/cdCFn7DOCnB5KDgkg0A3Nrbuqod4mI/N/PXdCLWkUFSxk7fojKC4owdhuAmzvkZLqpampMdFhaJoWJ0mRHHIsm+d+9QgN39XikSY2ECkdwhAGLXvVkDu/EMvxYkkPHunBYziIsAlhSYUZJMWwIMWCDItnJ9zOnz47l2UtlXg9KdheHwcVzSc7u5W1/n58XTeUsDcNaZgoYYIQyNAWBpQvhSBQCFQDAdzaqtAWCJugPPg9KbF+SNGsUJubmpb0GhoaaG5uBrb2KiovL9f9iTRN07S4yu9XRFEPvXP+zAdDxsK4/B45HevXN1HQ92Vyc1b2zAm1pLPf6Af5/IvLGTGsqNM5Oru7oyeks379PO5/6F0u/9WdiQ5H07RulhTJodrVNWyprd1ue3StuJ0RxJYeHOnBUSaOMpFKYDhu5VCK1wGPAo8En81euQ08cdLdfLZpGNVWHhWFNRwwfDH4AB8sqBnMyS88FEkOGSghsPx1HFLxjTslI/qJlo2bHFKACoEhqG/wul2P9LIybTe1Zs0aCgoKEELEkkNLliyhqqqq3XQzn8+H1+vt/EBOHXe93sRVp1fhi3fQmqZp2m4v1WuilIoNToinQaMht4cSQ81N4DG/1IkhjYry/1JbdzoFfXtv+ZBlC1K8vfffp2l7sp0mh4QQqcCHuL0DPcCrSqmbhRBVwItAH2AecK5SKiyESAGeA8YCdcCZSqlVOzyHBBMTu+3cChU9v4KcVhzpwVZeHOlBSROpTJRwELYBwol0rlZgAmEDn9diXMUCN2ofWxM9AkYWLCU15EeKrckh5a/lxFFz3ORQGIguF5eRWKQNRphNG9LAENG22Jq2W9qwYUO7+8OHD2ft2rVYlrXd9k7JRuasCbDTzgqymYWv3sO9L37M6mbFdS++y0H+b/iqOp8x+1WQprOsmqZpe4ST8vv22AdrGVk9dCJgS2MLBX2/7bkTakkrM20jtbXNFPTtvaO9lISW1gSMAdQ0Le66UjkUAo5USrUIIbzA/4QQ7wJXAfcqpV4UQjwKXAQ8ErluUEoNEkKcBfw/4MzvE5wQbgpG+Gxa02zSbS+29GArE4808RgGwjLcEh4BEgMcEyNsgle6lUQG7sVy91lV24dPVw/CF/SDYSCFO87+0MFzGFa4wU0MhXDnq0q2Vg4ZEqlsNlXnYor2n3rp97ba7sRxHEzTpKWlJbZt7ty5sdtKKZRS+P1+6urqSElJ4YADDvje5/N//Qh/nPIlQ86/iV+PzqcyN8Q3d1/HzfW/5IV9K0jTHz5pmqb1eldfcym3Hzw00WHEhb81wAA9ul4DMjNrkDShVE6PVMglQlUVlPbLZOPG1ZSUVCY6HE3TutFOk0PKXXcSfRfpjVwUcCRwdmT7s8AtuMmhkyO3AV4FHhRCCBVdv9Kp9r9AozubAKZBy9jVpH80iICVgSkcDKEQQuJDYYQMME0MjwTDYNqc/QmEc8hKsfGlhqmVBo8uGYZH5GGYKUjTJNuoiVUNhWUjT9/6NDRHTlwfuVZsrRwybd6ZNQoTA4+gXbWE7jmkJdLzzz/PzJkzY1U+ixYtYsKECZx77rkd7h8Oh2loaKCyshK/348QAsdxkFLGrpVSeDwempqasO0udvO06/jFGWexqgXSSvfj5EuuYvLBBaz5cC5NtDDnmduZAzzy9jR3/+UPMunYBwF45f0Z5OofIk3TtF7ptusv5LT9Bic6jLgp6PsZXq+upNBcVeXTWLV6MlX9e2/10Ekn5fHyK09w0vFXkp/fJ9HhaJrWTbrUc0gIYeIuHRsEPAQsB7YopaLvGtcBpZHbpcBaAKWULYRoxF16tn1ToXa25o6E+2T3WuAOtC9upDlVYjlewo4PrxPGY3iRhoMRNsBrQMgEj+S4yoXc+sU45i+tcGeKCYMcTxrSsJCORBkmpmm7y8k8W7jl7H+5FUMCtyG10yYkJ3KtJK3+dFI8CoSIxNiVr56mxddZZ53Fe++9x8aNG8nPz8eyLM4666xO93ccJ3axbTvWe6jtdsuyCAQCWJbVrg9R5wIsfvJqRl74J67o7/DtGw/y2M1/JOvJ+xkJkHs0N/7pdCq8UOZ115tSehZ/vvEI+pqQrRNDmqZpvdKdN17MMfvsxUhvD8+U70EZ6Rt2vpO2x8jKrCYUbgJ6b3IIQEoDx+nBcYCapsVdl5JDSikHGC2EyAVeB35wXbAQ4mLgYoAMkbb9OYlW5AiEEHhMCA7dQGhJOl4njM8J4zVtTGnjCbtJITwmhCQpNvzpwP/y+prBvLl4X5qDXpQdQgkj1oRaeEKMHLKA35wyi/LCJncpGbg1Um37DUXfFzsCrwFCuBOdBGrnvVa62X3/mktts4MSXjxeD45tI6RFnyyTH43ox9ih/Xo4Ii0ZeL1errjiCv7f//t/pKWlccUVV+ywkXS0QsiyLGzbjt2PJossyyIcDtPS0oJlWdv1IeqIapzLc9M28Kd3D8QE9q4yWTD7Jt77pNpNDvlyKasawAAfgN99UmpfKgcMoEgvK9M0TeuV/vnicwzcq7THE0MBASk9OCkhSy8p07ZR0OdLoCLRYcTVkCEpfPjRW0w87eeJDkXTtG6yS9PKlFJbhBAfAAcDuUIIT6R6qAxYH9ltPVAOrBNCeIAcIoUC2xzrceBxgL6evHY1OG3vRNoJoQRYA6sJLRxGihmKVA9ZmIaNcgxEyHTXoBkSQh4MARP7f8dPBn/HJ9X9mL50b5qCaZiGTX5eEz8/aRaVxU2RUfW4SSALt3F1NAALN0EkBHxShIhWDAFuXZOKxRhP7362jI8X14GSZKWnMHxAERmpPppaQyxZvZnNTSGmza3htU/X8ucLDoxzNFoyOuCAA9hrr72YN28ed9xxxw73lVISCoUIBAI0NjbiOA6hUCiWHIouLQuHw7Hk0c6ENy1gla049uij223PXt+YJDMRNU3TtJ7W0tJMkadny6xtAV9nwoFGz5wvHIb0bL2kTGsvP++7RIcQd2NGpzOjRidGNa036cq0sgLAiiSG0oCjcZtMfwCcjjux7DzgjchT3ozc/zTy+H923m+oA+7qLbcXtADTBK8XQnYqQU8Ir23hMd3kkPSYmOHotDIPBE13epmANGwm9FvDhGHLIMUBn+P+q1Nxk0IGkQln0HZYGorYWHu1OhOroBWjzm1ELWOT1Hb5X7VLGv1B7vvXV1gihYxUkyFlhRT1ycDr9dFiGfQvzaZ/aQH1zSFCYYv5i1Zy+3OzuWLiGLIzUuIbnJZ0rrzySiZNmrTT/Wzbpq6ujtTUVOrr62Pbo72GpJRIKbEsi67/6EoUHp544tE22wSe7CKant+1f4emaZrWO4RCIYKpPVMeugo3MbQxFcYd1iOnBKDFL8jN7rnzabuHjPQGGrZASu9dTQlA377br/7QNG331ZXP9EuAZyN9hwzgZaXU/wkhFgEvCiH+BMwHnozs/yTwvBBiGW5r586bn+yAQqHaJIgE4PMKNp28AP/04Tghd2qZI714DQufJ4QnYGCEHTAUBGxIc9zrFBssA1KkmxzySUi3wJRuYkgQ6XzN1jIgB/c5toHKCfDWkoNI8RpuD6NojCoaa/vqoe7IGd3ywjz8fj/BujX0Kylg78GDyU71sLkxSE5OKsFAgPc+/5w16zYNjU4oAAAgAElEQVRx4D4DefH/PgIgPyeLv0lISUnlmtNHkuLVa3b2FEVFRcyYMWOn+0WXjvn9fpqbm2M9h6KJoGiCKFo1FAqFOj6QkUHTF2/yybJyDt/rAm48ZTb3v/MVp+xXTrpdz9oNPg46qaOS6lT6HzwI7n+BR1/rw/FVikH7jiO3hz7l1TRN03pGvxJBgS9r69L9OFlcCcP2dm8Piu+pttNQt5Gykh4+qbZbWLfhO8pK9yKlF39eO2aM4OFHr+OyS+9KdCiapnWDrkwr+xoY08H2FcB2862VUkHgjB8emmjX+FlEskTeNJvmw5fh+89APHY6HiEJ+VLcSiEUXhQiYEaaFkXGikkBHgWO436sFFbu414ZqTaS7iW6hs0xIOgBW6CkYPqGEQjhdReSqTYLyjopHeqOAmqvx8PQYi9bUvtSUtSHPlkpDOxfTkvAQkrwtyoWYzOsqpjczHR+c+5PWLO+hrJ+RfTt24f352/i4Wlf8Nsz9u+GaLTexDAMbNumqampXT+haIIomhwCt5rI4+nk14RZwMjwe9z//KEceOv+jLzkPlrPmcRtr9lAGkX7TGTE8eM6eiKFR1/Nb77+M08+fiv/w+TRt98jtwf7Q2iapmnxt/coQX4efPkZjI7TyqtvvVsTQz3t/7N33vFN1H0cf99dRveiewAdlFGKbAEHIiIiS0ARHyeiIijgg+NRQAUHKC5UljIc4EQRxAkoIoKIgGzZQyjQQvdMk7vf80fSCQUESkr5vX3FJJff/e6T0FzuPvcdhQVgMsu0GsnJiYpYQVpaFDEx3u6WUq0IVXbokUhqCzW7Gohw+jtqiQmjgFVTIKCIY9fsRV1eH9Wu4+3wQEG4bmAuMMqZQ66bZoBDdUYDmV01VDThLGStCTDrToNJKJBvBqFg0038mN4YO55YNQWhGCgoGMKZslZd+8K9hzMICfBgzZ8b2b3fWcopsX4kd952Mw7DQFMUfvrpVzb+vRe77sDDYuXyyxL47te/UBR4ZMg9hAWYOZwpQzEkJ6KqKqmpqVgsTjdGCGe6ZAnln+u6jo+PT1Uz8frnP5Q9NdVh2mffnzhs+OdUjmdSPGLpNXomvUafwxuRSCQSSY1l3bqfaJzkfJzQGlauhitO39/gX5EKHDbOQ5eUsyQzq4g6dda7aeuSmk5Q4F7+STmK3R7PKfqEXPTodmkOSSS1hRprDpWklCmK4mpHrzifAxYTiDoFpF2zD2NFDD52L8DZQQwUNNWBWqCA4QC9xBwS4NDLzCFDcRlDLnPI5Io2KtbAUBAGfJnbAqtJwaJS6gQJRKmm6toVLly1l7i64ew54DSGNE3l+s4dKbI7iyL9k3KQ5GZN2LzzAPl5BeQXFqMbAh9vK12ubIOXlxcN6nuz/+j2alIouZjp3LkzOTk5FQpNV64tVJJqpqoqV199AYs3SCQSieSiJzs7i83bltM4KQgAHz8IjwfO42HJ3xbQAyHSjSk7Wdk5xNbb7z4BkhpPdMQK0tIiiIrycreUaiM62pvde/4mIb6xu6VIJJJzpMaaQ1BWbwicxY5Kzl81BbzMCkZoIXm9d/HnjkDidwYTZCrAw1SIEComrRhTgR2tUEdRDSjUnLWGTIbTHPJ0lBlDmqDAZuFgeihb9EhscXl4aBDggTNSqLT+kfNxeX1wYo2hc605lGWz4uvrxw2d2hMfWx9fP3/8fTzILXRWyF7w7U9k5uTRIqkBQYF+tGnehOzMDBJjY1DMHqUKwgJqcZKz5Jzo06ePuyVIJBKJpJbicNhxVIomiI+Hg7shxnHu8/9pgphkCA8/97nOlpSUQurX/QZNO8/hUJJaRXCdXTj0+Rw+ejOR4bWzOvUNXf2BH/nw48+IjmjDtZ26u1uSRCI5S2qkOaRUeOQ8uDBEmRkjXP9TULCaBI6G6eypq5G6KZiEdA2LZsMiVAxNxaTaMaGj5gN23WkMmYQzokgTOBRBmk2j0PAky0vDEZaHtwrOOs5KqRWkKDjTyUoVlEvD4dwNofKomkp8uC/RnduRm5NNSIg/FosJW7GOMHS6Xd0cAC8PD6IjQ4mOiqK4KA8/Pz/sOq7kOhDFbjxqkkgkEolEcslysrKMu4CYs5zPABw4j7dUH/caQwBZ2XnEx+53rwjJRUF46N9s3JwG4Sdr0lF7uLlvAIu+/hOQ5pBEcrFSY8whpZK94kxzEeWWi1LTo/wBh0DBQ1OwewoK2qSxoVCl0Wpfwu2FGIaKoWnomh0rArVQAZtwGkQOZ5FqkyYIx+CbsCAKPc14aAqVG3y5pFTQ4zSrhEv7+cXQDfYczQVAd5jZ9udWsrOzaNL0MhQFdv5znPSMLPYdOkqXq9vS1hJIoJdGdkYRuflFKKrzn3Xz3qN0vizsPKuTSCQSiUQiqZrcvEwCThK97GfG6fCcBWs9Ic/hPAbsdMW56TtXcnMFAX57UVXdvUIkFw2REb8Ad7lbRrXTs1cAW7etJ6lJS3dLkUgkZ0GNMYeqoqTGDyiurmWUVfspSTNTFVRFYBLgUAXbOmazK8+EX7oH/jke1CkuJsYh0FQDFZ3iYkGG2YNcs0aqr5VUHzOaVcVLA011mj0lRafBdaeUi8gRokJKWeXIoXOtRaTbi0ofayYTf23ZSVraMRonJQMqXa/vTE52NpNnziUmxnkNzsvTk/QcGwcOHKB+bH0MXZCdV3TyDUgk54H09OM4dJ2wUGlASiQSicTJ2rW/s3vvD/TqFXjCawUGbDRDM/u/u7C20gM6dKqySewFJy+vgDrBm9wtQ3IRERK8g6xcsNTiwtQlrN+wiKCgMCLCo9wtRSKR/EtqnDmkuPrJOxxl7etLsrlUpZIRIwBFKW0rrymgKgJFUdEDDLL9HWQasFco/CH8KL+aSXUeZGiKgkkVWLSyrmiGc0JKbJ7SZDJRXqNriKKgnufYoWCfivNpmkpeQSFbtmwnObkJAP7+/vh6eRAZEY7Aqd1hGNSPjUdRIPXIAYodNeQoSlLr2LN3D1u3biYrK5OMzAwaNWxCTEwMcbFxFNlsHD16hJTDKdiLi+l2Q20ML7aTsngaM7c05sHhXQircXvSf4mezqrZ02h9/xgs7tYikUguav7asIZGTQJO+lqLy6G4GH74A9oL0HGmi6m4msy6Hpe0S1Bdt/Y1yBgCyMgqIK7+P+6WIbnIOJZWUKsLU5cQF+fHwq8/48EHRrpbikQi+ZfUqFMaFRVU0AzBD0tN3HAtFOOgcqWf0tI/SvmlJcsUzCYwu2Y8M5TS+Z33FSOTKj1EAUyaCoaGhoqiqChnvK3T88jNrXnu4w307dgYq8XEg7f35s+167m6fUsK7QLDAF0Y3D/gRkJ9FQ6kb2Ta9wswDANfT1/ybfkYhoFABdqeN10SCcA33y2iYWIjrrziauffmRAIITAMg8zMLIQQ+Pr40bCBL4ZhsGTpj3S5ruuJE4kcVo0byLMrcwDQfCNo2OIaet9xK9fGmkld/TnvvL+AlXuyMVQfxs39nA4hlS652Q6wYOxwpqwNY8icafQN1xCF+1g8423m/LiZvLB29Bk8gtsvD8aEgy5dup0gY8Z3S6hr28EPs2fyyeINZPg24poBwxjaMxHvKr/WOhkblvHbtgDuPl2ooOMw84cP5B1bd15/5EocAYlEbn2S/7zmwZIlr5728z4rirbxxh0jWNdtOrMHxZ/e8DGy2f7rclreP6Z69EgkkkuCjz97jiuv9qNe3ZM7Ob6+zvtuN15AUeeZfw7mkRC7AEUxTj9YIilHgP+XHD5yC5ERtbMwdQktmivExcHUaU8ydMhL7pYjkUj+BTXGHFJKY4ZAUVWysuDbxSZ6dAWtxlzKdp4FOooVUtMUVq11Rjc5dZevj3Tu6A47X/y0iU5tG6KoCktXb6FtmxYcOJZfOqbY5E1qrmDpxoXEhsXhafFkRK8RLFi9gANpBygoLjhveiSSEg6nHKJpUjIOh6PUHKp8X/7x0dSjVcxkUJiZA2G9eP2xdmQd2cGKeXOY8OA6On15H3MnLyKrTX8euyMac+pqxj73HR9O6k14SU0weyqLxz/GO9vL1Xwwcljzxkhe/SORu56chPevLzBtzBg8Z79N/xgFqM89Lwwj2bNslXCTgyOLpjJ7QxA3Dh6DsuotPp78FGrsHB5tdh6u8BXuYdVug8ZP3U1Ssj9gkL713KeVSCSSmsSbbz1Kl+tjqFe7a+6Sk1NAowb73S1DchESErydtPTD6I44tBpzBlY9+Psp9O4TzsxZT3HfoAnuliORSM6QGrZrUlBQUTFAUcjNU5jzpVJanPpca/nAqeoBiVM8K4lPEqVd0jRFLb2n1NY6HwqdPNSrMW8v2MaPv2+jbVI9osJDycwrJsTfg2PZzlpCfr5+hPh7AAJPS9nZro+nDwBeltofuiq58Pj7+2O1WE9rDpXccnKyTz2hT12Sm7eB5m24ok0QR257A7tPcx6Z/TGqRXNZri15ccZzHCjqTbi3c7W/54xh8qEujHssnfFj9zkXFh9g+Z95RPQezICr4tCS7uHnX15l9b5C+sd4Af7ENm1GM++KEqL6vMYnN5kwq2BcWcxf/SeyedMx7M3qcablAQ6veJe3Zy1ibUoRim99vvhiBn4qGI5CbAK2j7+ZLuMh+Zn5jAZgI126dAFLBybMG0frKr6us54cxJKtB0kvEoAXUc2vY/Yrw0pjFY3cbQy4ZQSZuoXQ5Bu497/30znE+Vrqpw/S/VPn4++XfM+x75/nyWm/c7hQ0Ljbozw6tCv1PE5tahv5u/lx1jQ+WryJVBs8OOs7+oUf45cZrzHzu02ke8bTbfSr/OfY0/znlWwGvfcut0abMDKWMHLARBzDP2Jyj9Az/BQlEsnFSlRMEPXru1tF9VMn6G93S5BcxHha95KTG0fgiSW5ah2BARBQx4effv6ezteeGLktkUhqHjXKHFJRMEoStEqblGkIpbwxVDnBq2RZ5ccnW3YKi0mc2hwqXao4dSqopfWGKkcMnY/4odAAH57ofxlvzv+LdTvSsHgFkF1gJ8hPJdDXQmZuMcF+VnThDGuODY/Fx8NpCkXXiUZVVHILc8+DEomkIseOH6egIB+z2YJhGCc1hMovCww48yMgxeKNhwoGChZLubaBohhCEggujSI0eP5rfwZNGUhy+mtl40xBxIbCktWr2H9bLKE71nNErUffeiXmqUDXdfTSYCMFTVNBMWF2fXH1nFRyMRFRN4BKjQtPgcGI574h5pbhvHRFKPl/fcqEn47zYpfg0hHxD7zOE6188ArzhBUACbzzzuOg+XKqCPMN6/7BetPjPNc2EJG9h18/eY+FKQ/SJ8oM9n/44qmR9H/6NRpZ/mHJ9Ld56SkznWdeDUDg9WN4vl8MZhRMaPg37srAJ2+ijr/Ky488xnMRTZh+W92qDTDHYRY9PYzJOxPoed8ztIs2EVRHJW3py0xYkE3X/77ENb5ZGNEeBEZeQzyTWbEpk1ujgynY+Su7RH3ubhF0xp+iRCK5eImJvgQq7QJ1gra5W4LkIiYocCfHjrclMNDv9INrAYEBZhzFp7lIKJFIagw1yhxyWi7ClaBlQlV0cKVtCSHKGTvlTZ/Kz08dwVPlK8qJr5zUSBJKmVZFQRHljSgFUbX99K/x9bIy5o52pc8nz1/PsRw7umrCZDLjsDvQKMZu2Nl7ZA+BPoEoQEZuOgeP/UN6bjrXNel0ntRIJE4CAgLIyMggICAQXdcRQnD4SAo7dv7N0AeHsWfPbg6lHGTL1s3Ur1ePpKTkU0+4ZzJdukx2Pg5sQo+R71LmldhJXfY6I19azTc/foWzMXIRO955gFe/+JBIExSml5vLFMF1A3vx44Qf+OhzT/Z/8jP2JnfRoo6Gs8RpPkf27GJXiVekmGjUMKF0dSNvGz3HZfPCF9/S2v9f1BEr+IssCsmaN5En57mWRX3HP9fcRUmGhVd4LHFxPoCBU7I3cXFxZzR9nWYdaN/GB2hDh8430uWBhVw+7SbEV88xY4cOYx8tN3oB4DSHLEHRxMbFuWoOFZNzaDs/z/2JzQfSMIDUlX+Te2tdqrJvUuY/w+QtTXjmi9e4qtxxrKNVD66sM5Hv357MlTOn0jrEhEoPnhn6PXe99Qp0vI3JL68m4v736BtVo35mJBJJNfDaG48xZEi0u2VUO0eO2oivf8jdMiQXMQH+KWRmriYz8/pLInqofTsLcJS1a5fSuvV17pYjkUhOQ407aldcBgsui0h1JnM5u1RUMGJKelrAiSbRyWJ3FMqa0Z/cVjqZFudrJ0YrldQaqjiuenm4b8uTLh/23idsOuBsqXpP53vYdXgXy7cur2Y1kkuVqMgo0jPS8fHxRdd1Nm/dSGhIKEMfHAZAfHwC8fEJXNHhSnbt2knTpqcxhyL7MeXpG/CpE0pYoFe5aB07h38cz4jXNpP037ddxhBQtIdvlxzh+y+6VJhm2p096TP/Wd6esAjtjvcYc0sU4joTTwyazMT5VzLjrhjAh+jERjSqlFYGYORu5r3Hn+ClSd/S3O/fF5j36zyal26LLS3+rFgCiaiOPayigDDK9VKMY+bMUeUGqMCJUYP2/Z8zetwn2K8byhPDk9n71hDeP+3GXPvbSrtUU1gXxnzYnC3LvmbkPbdz+cgpjO0WQdgVPWk8/W3ytgewuiCBu6+KqHk/MhKJ5Lzj6VljikNWG0JAekYm8fXdrURysRMS/Df/HGpLYODJu/rVRlKOriFzSQZduvR3txSJRHIKzl+LrfNESdxQWXyOM82sJFJHVdRK9yWPT3erOE6rvOwk/yml21ddNlW5dUpNovNVDenssVSq2J2em17FSInk3GnRvBUpKQcpKCjg51+W0qpFazpf2+WEcVar9fTGEIBnBIkJ9YmsYAwJCrbNZtRr62kwfBKjupW7Im1NYOCbs5g5cyYzZ85kyuNtsRLFgAlTcaTvZG+BlcjYAEyAOTSZ5BA4vi8D+6k06GksnTCaz229/p0xVGLSWCPI2XEIU2Q96tVz3upG+JWmqlVEwexpAQrPfDvlN5m/G6/4RAJNJgITE/DiMDH1yrZbr14MqGY8LVCYXVTaEtp2aAMHiaXP3b1o3ySBhKDTJ80FJibgLfbw29+5J+zlFEsIyV0HMTK5gD8+W8IhO6jBV3BzS42lX62muNnNdAw788Q8iURy8aLV9uq6QNoxO9ERK90tQ1IL8PFJw2bPwuFwt5ILR5frvFC03Xw5/yN3S5FIJKegRv2al5gsBiUFqAU6BgjhKgl07ibMqYyckyWWlX9UvraQgoKigCKcS43z3K3s39Dv8r4s+HMhNruNh6Y/RFFxESoqHpba3SpT4h4CAgK4sVsPVvz2Kw8+MBSLpRquGBvHWPbOfFLq3caQBoUc2LULUPCKjCPK20pgVF1KorELs30xYSEwOgZzQCtaB3/IwilT+XpoL7w3TGf+USuXDYrlVN+Gou0fM+NPEx0evYpdu3YBoFjqEFM3COtJv9YaXsE+cOR3fvrzWm5rF43foQ8YNc7OXd2SCbfa0OPa0fqkBoyCZ91mRPIRv69bgy01h+iOnUnwrnr/sfPzWXxe2Jr6PnlsWfgOfe7/BC+AJgO4NX4Zb37xCx3i/SA7hQPFzejfJYyk+ma+XPY+n7e8lSaWTJIimhDOJyz86DsiuzXkQLZeFhGkehPsA6t253BVyBZeeWAcfyWNYd6Tt3Frwi/Mfm4U3oNuoX09b+yRTWl85Ad+yYyiQZQvW9N0lIBAPFVADaBV/47c9MQqOr5wOYE17vKDRCKpDgoKitwtodo5fjyL1i02uFuGpJYQHLSRzKy6hARfOj+UVqsnGRnH3C1DIpGcghplDoHTZBEIDAwCooLoM/F2rJ5WFFVFVVVMJhOapqKoqmuZgqZqKIqC6hqjaRqK6nyuKAqooKrOkzQhXIVydVfRXENgCAPdoZd1XBLOOiq6Q0cYBrrDQBgGdt353FZoI23nEVa+/zPp+45Rudj1hbaIOjRsT4eG7S/wViWXMhERkfS/ZUD1baDoIGv3GGD7iDEPl11lSn7mK16/yqfq9Twac/+rozFNfp9ZoxZjD25IxyETGXp1ECpVXaJzkL51C1nk8ttr/+W3ksWhtzDtvQdIOKn3ZaZ+z/vp/uckvpi8kCtaDuPtZwYw5YNvmDT2YwxUHpr1TRXmEJjr3cwT9+7ikSdHYwnvwJDLOpLgXXUxVzN7+e7tb0gpAu+67fkiwZVkZ4llwCuTuPO2EXxnA6zBNLohkv7X16Pd8Mfo/sJUPnrxKQzFlwU/zOXZERlMmjOVMT84MHnVIf6aIGd0kxrCNff35645O2g7kjJf3FKfWye+gcf0d5g383kWFUPPifOI2LOGBR+u4XAhhF/Wm/89cj0lQULeTftBiC/9m/u4yS6XSCQXGqWWf9nTMw0iw1ehKMbpB0skZ0CdoB0cONgeuHS6ebZsCZu2pLpbhkQiOQWKEO5NiQIINgWK3r6d0dExMNARdB/TlzqJ4QjDcBpBioKqKiia5kztchlBygmPFVTVaQ4pioKiqM4IH6VcXaDy3ZQMZ0clXXcgBBW6LOm60zAyhIASs0gIp2GkG5jMZmbf8aYr7a000Qy/pmGMm/+C2z7P88XmjX/R/sqO7pYhkVzSDOvSBfPpTDGJ5Az4/bflpB9Po3FSM9fvY9lFlIrPVQ6nHKRh46QT5pC/C5KTMXnqKO69t3ae5Kan6+j6YurX/e30gyWSf0FeXiiqaYS7ZVxQ8gvgiy+OMuSBl9wtRSK5ZPj9t+Vc1/XGdUKI1qcbW2Mih0q6fAlAGAYhDSIodtjRVBUhQFWdY0qDL13GDlrFVvKidJKS54bzkpZSth3Kjyk3FpzpYkZJDJAoiwQyhLONvatzPIoCDofdGYmkqK65cRlFEomkNpD/x1P0G7MWvdLyvlO/YUgD60nX+fcUsfX123nk+5wTX/K4mkbnaSsSiURSXdjttbd4SnZOGo0T/3C3DEktxMcnjcxsBavV/RfqLxTeXtCpU7C7ZUgkkiqoMeYQ4EomExgITFYTtnwbhlDRFKc5oykKQggURSntWYYhEKqoYPAYwkAxnFdBcdUFqtyWrCQ6qOzmWoYzSgijrDqRcDlOQji7nekl/pIoUeu0lGpgfW+JRHIOeDYdzpSpeVROJAiqez7rLFmIv/NVpvY8ycmVyY8GsU+fx21JJBLJ+cdqrVGHk+cVs+kQmnbKlgYSyVmTkWkjIrz2d/srT90YE3M/epk7bv+fu6VIJJJK1KhfcwFgUBZDZAhnxJAwUHFGECmAf3AAmlZWy0NVnaZM+dD4kucllH9ckkpX/r7kVv45ONPM0lPTS40iQxiuSCKc9YoAVQgMRUF1WVa1yf/fvWu7uyVIJG6ncjRg5j87yKzmbQDgyGT3rvO9pUuHhAYy7koiuRDoeuX4ytpDnaAt7pYgqcVkZ2cTER7ibhkXnKbJGu/MeJHB9492txSJRFKOGmUOAa5IHGfKmGEIDENHUVWMckaREILIyMgyEyg3F+Hr63x8llURS8ygAruGl1kvXXbgwAGEoSMMMFz1iURJIWvXcwOBWktzyQIDgtwtQVJDyctKx9B1/OrUzjoTEolEIjk16enH+PrbqQwaFOFuKdVCdg5EhO52twxJLaZezEIOH7mNyAhvd0u5oCQmmti5M4+DB/ew7NePuet2GSUtkdQEaow5VDnaRriicAwhUAwDFRCoCK1ixE9lM6jktTM1iSoX5D5p1I+iOE0pwyhXsNq4JGoL1YSC5ZKaR8Y/u0ndsZGC3Bzy8nIIr9cQ/6i61ImOxW6zkXv8KNmph9Dtdhp37OZuudWAg8NL3mXWtoY88FBnwmrMnrQM276veGtuGh2HP0Bb/0thbyWRSC40iqJgMtXeekM52XlEyOsfkmqkTtA+DhzMJCzEG60GHktUJz16BLD0p3lcfZWfu6VIJBIXNWg3JE54ahgGiqI6S/mURuyopR3GwGleqOXSwEpXP4lxdMIWT2Z8VE4xc0UIuYoMOZcbhmuZe1rXX0ikOSSpTPrBvRxcv4q2rdoAzu9pdk42h/ZuY/ea5fgHBmEC/P38US0qxQX5mD293Cv6vGMnfdNyftvmz52G4HRfE/vRX5nx+my+3pJF3b6v8EZ/je2bs2l1RYvqU3h0DT+tKqDpEAMhalg9NJFLj0FzmThlCE083S1GIpGcLYqiUFszygwDcvLy3C1DcgkQGf4bx473JfwSqz0EcF1nD0Dw3Q/vcOMNg90tRyK55KlB5lBFDFe7eUVxdiNTEKiu3C1DVCoPW8WZ2dkYG6LSeg7d4TKq9NJ0MuEyhgyjcpna2oc0hySVObZ3Gw0TE50pla7vgK+PLw3jG5AYl3BC7a6961bS4IrrTpxI5LJ6/GDGrXJ26TL5htOg+dX0GnAz19Q3kbpmPrPmLOK3vdkIxYdn3p9L++BKuyzbPyx64TGmrg9j8OxJ3BSmIQoPsHT2NOb+tIWC0Lb0GvQQt7WpgwkH3brfdIKM6Qu+IaZoF4vnvMdnSzeR6duQq28ZwuDuCXhX6fyWGMhlBe2rxHGEbyZMZJHtBl57+QocAREUrn6a0ZM8+P7b5qf+sM+Bk9VQqzlo1IsOwVM9vbEmkUhqLoZh4KiltZqzsgTBQRvdLUNyCRAetpk16zsRFhbGWVbHuOjZu3evuyVIJBJqqDmkgKsetbMQteo6+TIMgeYyZ4rKRzHbFURx5Qmc7eZLrpcbJwsSct2rrg0aQqHIDggF50mfazIhSqOVFFeNISGME02qWkjNO6mUuJuso0eIj4hA1/VSc6jyvaDMOMrNSK0iSk+nMDMHQrsz8ZE2ZB/dxcqvPuHlYX9x9cd38/G078hs1YeRt0VjSlvD8+N/YPbE7oSV1KJ3pPHTK6OYsdP1PRQCYeSw5u3/8fqfCdwxciLeKyfyzthxeEx/jZujAepz17ODSSoXrRKm2Tny87t8sDGQrnwx1BcAACAASURBVPf9D2X1dD6d9ixKvRk80rSqsBZXN8OSLoen+poU7uH33YImj99B4yQ/QJCxrURy9X2/SmeukeaQB2+P7UvZflYikVyMrF37E9HRtS0y1ElObhZ1o2RTDsmFITJ8FWnHehIWWiNPzaodVbtEXTGJpIZRI/dAAudJpqHrOAChqiiGhqIYqCYFu2GUnlAIATgMjvyzB0UBD08fHI5iVFXDXmzDw9PLZRYpFBXkl27DZDYD4LAXIwRYPTywevpgmAMwVFE6t0MIHA4Hhm6g6wZC6OglEUTCKNVbnbu0dRu28u7cryhSffAMjKD7FU2w2wpRLV78sGoreemHOXZwN/WiI3j3tTHndduGUUvjxSVnja47MAyd4uLiCiZQ+a5/5W8aysn/joTuNG19omjStDk0bU67tpFk3PUKRV5NGT5zdrmxDXn564XkOXRCXGbuwDsmcfOrM/k4YzIDR+1HGDqGPYuD/+RBaBNaN29AqJbEJyv2Ydd1nDJ9iE5MpFHpuYyCJhTCe0xgbg/nEkeTg6xYN4/0zCJ0w1LFd1t37YMMDEPHMAR39PoP0X0Hc+vlweRv+pIfQ4cxrlMQSnEhNgGO4wfYs9cbr9BozEIA+ezZuwc0H8Kjg/GsYifyaK+byOk5gvtb+SNy9vPbvLk0GP05vSJNzqikp4eR2ulxmvvnsGHhe3y1vS7fzH/J9X6F83MxCulx12xemTGUxlbAtps7ZulM77GBRx+eh+dNwxl0dSSZxSFc2cSf8kloRuYqJj40kZX+Hbn7Px3xWPM201fGMXbu07T2KqJH36fo9sAddKqrs+ObGcxa6cc3C1/DyFjJSw+/wpqQ6xnVJ4jv3/uUP7378cbrd9LAw0aPQZ/w5rR7qHv0Mx5+eB4Pv/4SppxUjnk0dWpwHKHH7ZPpM6hX6Xur89CH3BRlQmQt47G73iSn1yPc3+A4Sz+YyyqlF5Om3kuC9fR/wxKJ5NyZMfNNGiUZtGpR+3JDDx3KJzz0S3x80twtRXKJEB25lpQjKtDb3VLcQp+bwpgxaxT3DxrvbikSySVNjTSHAOcVeUOAIpwRRKqCoirOVDPDwKqVRe2omp169eoCzvz3knpDlesOCRFY5eZKxuUVG3iZy0UEORzO7mmumkeGYbhSyvQqqlefPwqLbLw69UN+X7eZukntiIu/jBtbhPL3zt18uHA5d93UiftuuZ5v1x0mvuW1HNm3hWdeeZdRw+/Gw3p+zpBqXsSBxN2YLGZstmKsVqWCCVRcXMy+Q/+gohDg50eAfwBCCGxFRVXW93Le6xQX5pB5eDsrPpvFJsMfsxDlvl46Gatm0fm+e6hrckaaiLwNRA8cTtcIjeKMkukEQgvnhkcGsemZWTzy4F+E5qfRbNjz3BStIYQD2ML42/uVE+HJooUfV5A1/815pCb+h1GtfZ1RN1V8DhUicxypFLYaxlN3tcdPARpG8vKoTWR17EiA6316htSlfj1vQJAhALyoX69e6Wyn+qrVadKGNi28gRa0aR7BnXN20uXhxrBzPp9stTJnfFsUoEVSHTIfeI6Ccrqd+y8r3lnrWPGPjUYJFvSMrTS5/Dq0vMXk4k2j5i1IivdxRW2Wf88ODv4wh9/yGzF00jC6hWikZQUwfaVzZiN7PQ3ue5LBXUPRgMZ1VbaufQG7KCblh7msKkrmkWcG0yZIpVlUIUMe/Zo563oxtoO19N/MkZdGLt4kxcejEE8jl4bCnfO56rEnGdjap/S93T5rO9cPT8LD9WHVadyaNh28aGzdztrxa/j9yB3E1zNX/UFKJBLJaXA4oKAwjaDAfe6WIrnEiIpYQ15+b1Tt9GNrG/7+CpdfHsqktx7jkeGvuluORHLJUoPMoYqXzQ1DoAsDxVBcxo3zpus6uiEosDuXCAHYNQ7u2lW6rqZpmMwWDN3A6mGlsKAARVUxmczYigqwWD0pthUC4OMfSGBQKCjO4oOFDpcO19mRrji36SxMXdKtzLldoxqNk6ycXIaNfhUbFlp2vRuz1YM2iSGkpR7lw4XLAfhwwTJG3u3NFY3DWPl3GlEJzdm0fD4PPvESbz7/KP5+PuesQ5pDksqYLB4U24oxm82l3fvSMzJIOXyQ1v3uJevQATKPHmTTlo2EhoYRldS86uLvAPtm0ffWWc5lgQ25YdiQcgaFg7QVU3nq9bVM/Wo4ihAIbOyaN50hd0yrUIy+pItgYdphUu2htO/Znv1fzmbd0l/Z0+4WGnkJIJa7n3uQ5NIL3aYK2kTBTj4quJ6nx/ckxnwqw6bkNZc5VnwE27qJ3F6+pFHEreTYBf6i/DquOkUVnp8J5cb6NiF75zIy7QmI7TvIVmLLPi+vBNrHKaTbBYGl0ZXOddv6pvP7ikPcFV+fgp1/cnXzHlitPbnlstXMGjuYvR26MvHxO7GW3xWLAg5sOgJ1u9I8UHXORdnnbUvdxq7pE7lpekW1dsO1XnQ3kvycJqIlqjVJ3gvZtCUVW/u6uHLysMY5NYx4+UO639iNjknBWBUHGdt30KGzd4X3lrtjKen2JkRW+EzBElqfIHZwPE9HiBr0syaR1GI8vbwwmXKpbW05MrMgpM46d8uQXKKkHM4jJubcj98vRhISIDIymrenPMGwhya6W45EcklSg46iK58kuVrHU9Ec0lBBGFjVsjQVTbOTkJBwxu3rT8Q5l1AEdl3By1Q2d356NmlbDuIdFYjZasFw1R7ShVFlIezzwaPPTkL18OOaa3tj0wVFxTqJ4VYefObbCuNe/+Ab5r/1P9buSQfg2p638edPC3jyxbd464UnMJvP8Z9YmkOSSvgGh5OTl4OHpweGYbD/wH6sdcJo3XcgCEFAVF0CoupSt1lb0g/uJTSu4cn/jkqWhffk9f91xicghJAAD7TS1+wc/XkST0z+m8ZDJ2AtGW/by4/LUlm8oG+F6WYOvp2ecx7jnTd+QOv/No/3jkB0VHlm+Ewmfd2Ot2+NALyJjk8g0etEHSJvG3OeHce48Z/SzFc5zd9+uddcbrF/x0cZ1y+G0rgVSwDhmig3T8njcsv+hTlUYWylroonzCNEmUSXvhuvDGLZiqXsH3Ab2St20/gKQImh97MzaLtpGd8uXMDQyYm8OrQtgSV5ZUJ3diJSTaglc5YVWwJhcNnQiTzQqHyHFQVr+TpM5dZTwOnCl9dtcWo49vwIpoz5is86/49Xh7Z0Rn4iqPjTYJS+n/Kfi6KaUKnYRVIikVQvusNObSy9WGwrxDsgx90yJJcoQuyhoOAyvGpnKa/T4uUFvXpF8v6cZ7jnzufcLUciueSoQebQiThTuAAFFMNAU1VEccVitwBKucK4Z2sQlZxk6UbZ3OumLqNDhyswt2+G3W7ni1UL8I8PKS2WXV2kHs9gf6aBYrYzf/4XpctD/W+je+9+eJg1rGYTRcUObA6dz1Ye4N7OCfzn0bIwTGG3ccN/hvLTvHfPSculUHRb8u+o27ID+emp7N64hgZXdyOxYUvgxL8VxaQRHNug6r+hEgPBM5S4elGuZQYGgHGcxaOHMrWoH0+/3IcAtYBde/biFV6XCK9Ehr43j6GuaYq2vs2gpw8wYPrLCNMeArwEKxd/yY8x1+O1ZSV7HFaSorxRXN9xQxgnFKgv2v4uD45aTZOHnqV92h52pYFqDiIqOgDLSXcpCp5BXnD0D37+qz23tG6KWN6f5/P7MaBzY8KsxRj1wonCwHBFvpQvYu+d0JxwvuCPDesoTssl8sqriK2i6JAAdn01ly8Lm1PPO49t386h/4h3CNNU6P4Yg/4Yyfs/r6W5Xw4bFr3P/K0JLNAMirwC8WYHy3/ZTPKNTWkwaDzDDg7jsXtXoDga8BUGxalr+H69Qd24eK6++V6+HreE7Xe34rJD7/Hfp5fz9rwPaP/QnSQMn8nDT6dyX99W7P0lBQhCCANz3AA2Pj6UaT0G0L1FJJ6OLFJSLURFX077R0fQdvibDHniEKP7BPHD+5/yh18vJt4Zh1nYwVXYv0TD1TffSx3LNN5b4dRweffHeHDgs/S9t2fpe7v7iZlEaCd+piVRnJdKowCJpGagUBtbK+XlZxNXf7+7ZUguURolfs6hlIMUFXUlKOjSTJMOCYGI8EvUHZNI3EwNModOf4BRcqVcF1BgV5xpZQAOjb1btpSO8/YNpCAv64T1vX38yc/LLn3u4eVDUUEeAGaLFZPFik+dBBShciwtFc92IWSThzVbRQhoEpDIzuP/4F3H91zf7ClZ9MMvKOaKNYOC/H05dNyptfL1rJz8YhwGhNUJIDXd+b4Vsycm87kXiZRpZZKT4RUUSsNOzgrOZ/03Ur4uTuU5bCn8dUBA0Rc8/0SZQZr0+Hu80M674jTlHghLAneN/S/ajE+Z+/wy7HUS6HDv0wxq748iDEoiTUSlaJSMHdvJIpdVU55mVcnikF68/vYdxJ702EwjuusdXP/Xu3w943subzaIlx+/iVmfLmbay19ioHLfW3O5LECtEN1T8tgU3Z0Rt+/lqXHjsYS25d6mHajvUXWRATMHWPzuYo4UgXdMG96v70qH0yLoPvoF7h/4FPMdGkENrmTQC/cghMDaoA93XLGbDz55n9/avEzfqCDa97+aOc/8RFHbGxFCYM/czeovv2VWejGg0O+pabT0Bke5lDlTZHfGPFPMOx8u4d0XFxETY3W2eBQCgQfP/ieZuT98wMvf2AFPQpp258bubVEDOzByvM6HMz9j3OtF1G93G2Pv600Da9m/t6C8Bjs+Uc3p9+gDtPQGQQQPXF7Ml9MmlL63mVHaCRFTJd3i/n2qnkQiORdUTUWt9pYcF5bCQrBY0tE02YxD4j6io35n09ZG+PgmYLk0/SGuusqDd2dM4IH7n3K3FInkkkKpCQfSwaZA0dP3Whw40A0dHZ2BHzzMsWPHURXVdXFKRVUUNKuJ4PAQ4uLjStc3ZWbiCCwrNv1vo4fKfwY5xVYKMg7w/PPP8/jjj5OXl0f+tnSSQxphMVn4/vcfCWwRWXp1+quRc9FQUVUNFQUVFb+mYYyb/8JZfx53D3+GlMKKjnnjuGiC41pUvc51iUx+/0s2bN9fuszIz+Dnj88+Z3fzxr+IjIo+6/UlEsm58+TN/TE//h7PX+59+sGnQT++lDHDviB27Js80PDsitbvm/MQj65oxcQp95Jw1getRfQd/h1vvd6X6Gq8RFEvNr76Jr8I+f235aQfT6NxUjMUxZmyrapq6eOy5yqHUw7SsHHSCXNs3vgX7a/s6Ab1kppGWbey2mMOHT8OqrKQ6Kg17pYiucQpLvZi6/bBNEwMdrcUt/Hzsnzysv3JyrLx4IOPuluORHLR8vtvy7mu643rhBCtTze2RkQOCRWcTetdz081VgjQzBQ6nEUxhAGKw8TOjRvxCwwmPycLXXdUWKdBk+YYQj3ZdAAoCFQVdAMOpaTy/KiRPPvsMxiGQX5+PgUhBsXeBv9s24nDu/rNtMNH0iCgfoVlEaGB2E+xTkGxjp9PpRBM87l3LKsJ5qFEcskjzjEiRs/mnz1/8+sHH3Ko6SAejbec8XxG7naWrjiKf1QYgV6C6d8cI6TrlUSbTt1h7eQI8g7u4p8jm/Fr1IRg7WzmkEgkkuqhoDCbiNBD7pYhkWCxFFA3+hvgHndLcRvXdvJm02Y7Jk3lzbceY4TsYiaRVDs1whwKrhdCQFAwmTuPly08xYUoFR2PkpBfDUyanWbNmrlejTzJGobrdmqOZx7nv0PuJrlpE1atWkWLFi3QNI2QkBC+XrsYjwwTkc1iTnCvzvc1M7vDzs8zn66wzGw2oeuV3oNS1lnNYtZoNnwAjnJjNmzeds5apDkkuZQpWD+BgS9tpHKCQY+X53DPyfPNzgIbO94ZxuifTlIA1aMdiXDO5pDj2Cr+O/pzoi+/mdFDriJIPXNTRs/Zx19L5rP+UA4OoFWvR7jn1gQsFVrenyEil80fPM+rGw2emdnn7OaQSCQ1gtrYrSw3z0ZifJq7ZUgkANQJ2sXhow4CAmrE6ZpbaJbs3L8EBcpMBonkQlAj9jaa2cRdU4aweel6vn/jK4wiA0VRQVFKU8QU1/9UVUVV1QonSuJcr6oD3bp1o2nTprRq2RybzcayZcvIysoiJiaGVatWEewfRKerOjm3ozhT10rLXnB+D41i69Xj+U83VFgWF+HPB3M+qnKdyWMG8tuuAlLS80uX7dvyO+8/H1flOmekJb7BOa0vkVzUxM9mzS3Vv5nYicu4oTo3EN+AdeuGnfW60646y3VPQuzs37ntvM0mkUjcRWFBAQ5H7TGGAPx99qOqjtMPlEguEOGhz7FuwzCSmoS4W4pbCY+Avfvf4JtFKQwfJiOIJJLqokaYQyUkX9cS1Wzi87EfIIThKjgtnEaRC4HAwESB3XlAIgQodo0df/0FgI9fILaiAjTNRFFhPj5+AU7jRtXIzUovncfq4YkQgmJbEdnZ2SQlJWG1WrHZbKSlpWGxWFi/fj0rVqygbas2XHPFNQjDAEVBuOoNKdV0zfuqyy/jYKVlWXm2U67jYbWSlZ9ZtkAIco7uPf/iJBKJRCKRXPJYLBY0rcjdMs4rinqqBH6J5MKjqjrNkmby9877SGxwiRtE4Qo9ekTJFDOJpBqpUeZQSeSQp+qBopbr3CMEQlVQURBCYNYEnqay9CmTyUHz5s3PYAsxJyxJT09n1KhRtGzZsoIxFBgYyJ9//knv3r25sm0HdLuBUKCkB3Zpp7RqoEeXq5jw6VoCQqJKl2XkFtE4NoqM3Hx8PK14WC0U2orJL7ARGuSHxWIlv6jsaldm2iFyszKqSaFEAunpx3HoOmGhYe6WIpFIJJILTG3sVqaqxe6WIJGcgNWaR0LspxxK+Q/RUXXcLcethEco9OwZzbszn+KB+ya4W45EUuuoMeaQXuzguwlfYqKkjkdZ+hYCVKEgFIGqKuhCK40cAgXFYWK7K3IIwMvbl4L83NLnPr7+gEJebsX29rm5ubz44oskJydjt9tJS0vDbDYTGBjI0aNHuf7GXtzUbwDpKQdRUFCFgoFwpZSJKo+HzvUwKTQ4iNRtvzLyudF4eXpgMalYLSoWrQUZuYUUFTvIKyzGx9OC1WLi75S1vPrt0xi6jq+nL/m2fPAzaHKj1+k3JpGcBXv27mHr1s1kZWWSkZlBo4ZNiImJIS42jiKbjaNHj5ByOAV7cTHdbujubrnVgJ2UxdOYuaUxDw7vQliN2ZNKJBLJhaGosAh7LUsrU7VTR2lLJO7Cx+coPnnLOZ7eg+A6FnfLcSvhEXBdlzDenTkKRQ3HYjZRVFjE4AdGuluaRHLRUyNOaVJ3H2FK9wl4qB7ohqv0qxAorv9wZZUpKAhDYLgiiMAZyGMSYBhlkUSqqlV4npPtTLfy9QskN8f5eNSoUSQnJ9OmTRvsdjsZGRmEhYWRmprK2rXruLbLDfTq3ZfDR46g2O1oaC6zChDO8tZKFTbQ+Ygomv7ykwx58kWOZ+Wje4SAqtGrU2uubN+KRWtSSsf1alef+avn0STG2XJ4RK8RLN24lK0Htp4HFRLJiXzz3SIaJjbiyiuuxjCM0ppfhmGQmZmFEAJfHz8aNvDFMAyWLP2RLtd1PXEikcOqcQN5dqWzELPmG0HDFtfQ+45buTbWTOrqz3nn/QWs3JONofowbu7ndAipVATadoAFY4czZW0YQ+ZMo2+4hijcx+IZbzPnx83khbWjz+AR3H55MCYcdOnS7QQZM75bQl3bDn6YPZNPFm8gw7cR1wwYxtCeiXhX2eRQJ2PDMn7bFsDdp/vCOw4zf/hA3rF15/VHrsQRkEjk1if5z2seLFlyocOi8/ljVD/GZAxhyfTeF3jbkpqCw16M2VJ1N0uHQ9ZckZyem/qAt3ftMocs5mx3S5BIqiQyfB05uUeAh9wtxe2Eh8Edd4TiPCMrJi1NY9Jb/+OR4S+7W5pEclFTI8whxQANDUf5nkCuSGWhCFRcxalRQAGrZlRIKzOb7LRo0aLSrPWq2Fp9MjMzadq0KVarFbvdTmpqaqkxdPDQIa7vegP9b+kH6BRpBpkFBfh7+iJQUISCoRgo1RxJ7efrw+zXn+HV6XNYsWoduiWAr5etJb5uKNckR/LL5qN0aRlNdvoxAGLDY/Hx8AEguk40qqKSW5h7qk1IJGfF4ZRDNE1KxuFwlJpDle/LPz6aerSKmQwKM3MgrBevP9aOrCM7WDFvDhMeXEenL+9j7uRFZLXpz2N3RGNOXc3Y577jw0m9CS/JOLWnsnj8Y7yzvdx+w8hhzRsjefWPRO56chLev77AtDFj8Jz9Nv1jFKA+97wwjGTPslXCTQ6OLJrK7A1B3Dh4DMqqt/h48lOosXN4tNl5iL4r3MOq3QaNn7qbpGR/wCBdercSN5KXl0tgUNXmUFFR4QVUI7lY0Y3a12vQpMmaQ5KajZ/vYVKO6AQGaqcffAkRGipo3TrY3TIkkoueGmEOVYWzU1lZtzKBAKFQbJjIs6koCiiKQHOY2LJuXel6qqZhsXig6w48vbzJy81GVVQsVivHj6UxYcJLtGrVEofDQWpqKmazudQY6nRtN3r06U+B3Wk+2Q0TtmIbePrhTCpzqlGqjCg4f1itFkaPGMSGzlcyY+589h1O57V3PmFAj450TExk/87NzPrkWy7v4UHvtr1K12sc3YjG0Y0AyMs9SXtsieQc8Pf3x2qxntYcKrnl5JzmSqxPXZKbt4HmbbiiTRBHbnsDu09zHpn9MapFc+0BWvLijOc4UNSbcG/nan/PGcPkQ10Y91g648fucy4sPsDyP/OI6D2YAVfFoSXdw8+/vMrqfYX0j/EC/Ilt2oxm3hUlRPV5jU9uMmFWwbiymL/6T2TzpmPYm9XjTBvWH17xLm/PWsTalCIU3/p88cUM/FQwHIXYBGwffzNdxkPyM/MZDcBGunTpApYOTJg3jtZV+FC/THmUmd9tIrUYTP7xdBv9Kg/6f8sLE79m4/40CnRocv0QHhh8E0l+zh1T0cGfeW/yB3y3/jBFWgAJV93MtNG3lk26ZzJdukyGJk8yb1IntK1f8Mabn7LigIPwNvcyfuxNxFR444KiQ8v5cMoHzFt7lMAmt/D8y/eSULCGPreOphAVn5hrGDHxcZLXP87SJq9wa7Tz58XIWMLwVZfxVo9QLsBuU3IGZKRn4B8YhKaceHJhGAZ5uTJ6QnJ6lNrnDaFqMmpOUvM5ln4AH984zDX6LO7C07KlmSnTRpMQ1xZVM6Hrdm7oepO7ZUkkFxU1drdScmKpuVwYgUBVVBRVwcNk4G0pixYwa3Zatmx52jlzco4xffKTNE1qXMEYCgoKYu3atXTt2pVefW9BxcCkOedXvEyIwCCEIZzmFKC6bKKS1LbqpnnThkx56SnmfPkda9Zv4cfFS1iwcBHe3h60aBBFbuF+3lj4BoE+gdzT+R5W/r2SXYd3kZ6bzuDO918QjZJLh2PHj1NQkI/ZbMEwjJMaQuWXBQYEnvHcisUbDxUMFCyW8kXpiyEkgeDSNHuD57/2Z9CUgSSnv1Y2zhREbCgsWb2K/bfFErpjPUfUevStVxIqJNB1Hb1096GgaSooJsyuSEA9J5VcTETUDeDMr8sZjHjuG2JuGc5LV4SS/9enTPjpOC92KbuKFf/A6zzRygevME9YAZDAO+88DpovER5VzzthQTpd//sSNyZ4UpB6BCPaA/v+zfy5x87VD43lumiND8c+zSPbs5k6ZSANPODlYRP4PexGBj/zMBG2v1n07kx2FN1Kw5LtRA3gnWc6oXiG4WfbzpvjZrA27m4mD4/nUGYIQZV+GYyMX3n54RdZVacLE164h+M5QYSZc/lj0nPc/cKbJPsXk3Yoj1g/EwGXXcOKdZncEh2CiqBg569c3aKTNIZqEKFh4RxJOURkVF3USv8wGceP4ecfSFambGggOTWidmWUAaDJbmWSi4DGiZ+ybfv9NEy8tLuXnYzrrw9k85atmM0C0FmwMJObeg90tyyJ5KKhBplDygmPSmv6KGXVfYQAm26i0OE8ojUMMDnM2G0nnnqoqqtGEKDrYOJPZs18lW1bvmbs+M2lxlBqairXXteVnn36Y3M4G9SbFJWgOnUweenk5+ShCAWE4jwYEqXxQ+f/YzgFd/a7kTv73XjC8mHvjWDTgU0A3NP5HnYd3sXyrcsvqDbJpYOHh5XCwiIURa1gAhUVFbF56wZUVSMkJJSwkHCEEOQXFJx6QmFgL8oh4+BWls+dygbDn4oJLzrpv02ly9AHiXVFsxi566n34BP0iDJTnF5uqCmSnv8bysYnpjL07rWE5R2l+cjXuKWeGXAAm3iu3w3lVvBkyZKvK2zti1c+4mjDgTzbzv/MDQ09jYI2j/PsfVfhrwKNY3hh5HqyO1+Hv2uIV3gscXE+gIFTsjdxcXGnmxjDEsFlbVvQKFiFxCYA5O8HCKBhu3a0CddoMr4HAx+dx/vr+vHCFZ78VnQZj784guuDVaANzWMKGfdnNuOvcu3yPYLLtp2XRVouBCS2oWFyQxqeoMHOP9+8x2+25jz+8mO0DnZ9KsYxMo7baNeyCVFmSGzkGl6nNbuWbiLrhs4EqQVsX7qJdv+rQT81EhIbNWHXjm38s38PMfXjMJtM6A6doqICvHx8iYyKkeaQ5LSoJUUYaxHSHJJcDFgt+cREfUtKSj+ionzdLadGERVlIiqq7Jjj52VH3KhGIrn4qEFH7BUPMEq7gSnO1xRUUMDAQChquSv/zrHbNq6ucmZf/yCsylpatb4eTfOlWYu7GDXiZSZOTmXdunVc2bEzzZKbsHvHFjRNw9fXDw8PD7xj6pGXl4OBwIQCqAh0nDWyVQyMKrd5IbmtwwAW/LkQm93GQ9Mfoqi4CBUVD0uV4QgSyVkTH5fAoZSD1KtbH13X2bx1I6EhoXS+tgvNmjUrHWez2di1ayf3Dxp86gmLUtl3KAOf4MvoN+4z+pe+TTIH9AAAIABJREFUYOfwj+MZ8dpmkv47ibHdAlzjtzJp4FOszYYbygUNTbuzJ33mP8vE/07j2B3v8/0tUYiUhTwx6B4eSH2XGXfFAJcxbsGrdKiUVgZg5G7mvcefoNXEb/ne71/GudhS8PDTSTt4gJKeiDP/1xafc/aPzSz+aiRblr3H2M++YOVBTy4fOYWnKqXVezfoyGVe37Bl41GKO4RB3StoFlj2Hjzqtmfv4iMUXxVz4iZ8OjDhhx/J27ea/l26kF3/Zl55436a+bjWF/nsXZcCdXtXmBM1hB5Tl/DL3Jd4cd5P7HIkMeitlxgQH0XDrYOYsKwFzwZM54UVkSwYc66fg+R8oigKiY2S3C1DcpEjamHNIS/v9NMPkkhqAMF1duHn+xZbtw+mYaKstVMV13by4quvx1NY4Md/BjzsbjkSSY2nBplDJ6ckOkcgnMWgDQMvkwNPU9nVHYtWTKtWrU45jyjcgKb5oes5GI5sGiV14rKk6cTGdeLWW29B13W8vb3x8Q9GUUyY1WJMJju6SXdtX0GgV9BTU+jQsD0dGrZ3twzJJUKL5q34cv7nhASHsvL3FdxwfTcSE0+MN7FarTRtmnz6CT0jSEyoX2mhoGDbbEa9tp4Gw6cwqlt0uYkTGPjmLPo5nN9B2453GflKCn0mjMWRvoK9BVZiYwOcO7fQZJJDYP6+DOycxBgpQU9j6YTRfG7rxaB/YwwJVx0yawQ5O/7GFPl/9u47vq3qfPz459yr7b0TxxlO4uwwQiBlhJkApexQfmGEsimjQBeUUSgt0G+hhbILZbbsTdmbQJjZi+wdJ/GMtyzp3nN+f1xZthPbcRI7Uuzz5iUsXV2d+9iOpatHz3nOkQzcpknR9ilkgdvvATrX9Fd4chh73EWMnXQi7//+F9zz0sfbLVQSLp7D0gaT/qNy8YgAbPiGRVWn0CfL+V5CG79j0D5n4sbAE/DApm17yhgkFx7CU/eeysW/foMXFp3LPj+JZtBEgAGjc+GNb1uN2eTIc//A4Scdzh3n3corb63i1N+M5oxxJne++SGfpH1HeJ9rOvV9apq2dzFMg7ae4fZW0ha4fY3xDkPTOs3jaSAnewag++p05LhjAyxaVMPTz9zD+b/Qy91rWkcSOjkkhDPFyxACVFOiSBGWbkK2iZRO0iZse5g/c2bscS63B58/gG1FUEphGAbjRufHEkO2Vc2a1d+Rmj6K0eMmsnDhQvoPHERuv6HYwoVUBkoZhCPQKN3R3kIqtlqabJpWJnrghHtN24H09HRO+OmJfDXjS3556RV4PJ4dP2hnyTI+f/R1igeexeVFQdatWAEIAvmD6ZfkJaPfAJo6GQWrU3DhIaOgP+70Axif/R/eeuhh/nfFySTN+xevb/Gy70WFdFRH17j0ef4908Uhv53IihUrABCeLPoPyMTb5p+5SSA7GTZ/y6czj+asnxSQuvEZbrwtwnk/HUsfbwh78E8Yn9lW1yKBf8A+5PMc387+gVBJDQVHHMPQNpeElrzx2RyK+qVg1K5kcamNiPVwWse7T7+A/9Bh/PDIC2zJ+hm/HZ+GQHCwZx7/uPlBgtMm0jf8I28/+grnP3kJBpL8fQfA9LeZNauQisp0Jhyexsy3FxIYNgR73mpqSSI72URWf8P/u8/msZsnUnjKuYz/3z3cfd3dZF55JDUlQQqPPJDGT9+HYaNpWD+fDY2QkhXABA448wiSrnuSh0jiiNsndO53rmnaXsWWPScxBBAKQ3IbVaWalsgK8mdSW3cqZkK/o4u/MWMCbN7SwOrVcxg8eMd9ajWtt0qgp5LmN0aK6LQyFe0ZpADDqdZRCrymhcewaGoI4jXDjB8/vsPRP5v+Oj87PpPSLd9QU72FsDmNQyYKhBCkjhpBWloaYGGjsKQLb3TeuTKdFZlQLud4smnlNHraVHtN67S+ffM58+dTu+8AjRuYtUpC6Dluvuq52Oaxt7zBPROT23+cbySX/P0mXA8+zRM3fkQkezhHXH4XVxyeiUF7q9BYVCxeRBW1zPjHr5nRtDn35zzy1KUMbTP35WbQSZfws5n/5NUH3+LQcb/igVum8tAz7/DPPz2PxODKJ95pJzkE7oFncN2FK7j2Dzfh6XMIl+97BEOT2loXzebNf97ApiCAjz77nsL11x4Lm78H3Lg2f86///wMyePO4I/XXsB+0XlsN95/HY8/8AyP3vo2ISOVwkMuYKRfACa5k3/LrxbcwQ033EHWvtMYsv9QlnzxNO89VgXpgzn0olu5ZJQPapujMPOO55YHTJ54+Dmuv/4T/AVH8Ztxw4ks/IC77nsU3NmMmPQrfn/GINyAe8wUftb3Y16wjuPM/Tr4fWmattfqaauVhcI97BvSeo3NpVspyO/84h+91eRJAT7+9AOdHNK0Dog9teJWR7JdGeqklKOwsLGljY3NL566kqrq6uhSu85KZQCNRpgxY8bg9Ta3rPXW1BBKTW13/BnTn2fo8CMxDFeseW5ycjLJydu/aZEYhKUHn+GUFodCIRYvWowPD0pKpJKAQCGRSvHq1c9gYmAYJgYCA4O0MXn86fXbu/RnFA8L58/l4MOOiHcYmqZto37mzZxxYymX/PcRTu/T+TXVtN7t2xnTqSgvZdJxJ8a2/fkvfyE1NZWamhqmnXsuhYWFACxeOI/hI7fvS6RfF7QmpeX3kZwc/3PIrlK8uY6iwr/GOwxN2yVLV0ylb5+xuNv6nElr5bPPGwg35nH6aRfFOxRN2yO+nTGdScedMFsp1XE1DQlVOdQWJwnTlBhqKtkJ2i7sSHPolu1mzg8/xG77A8mEw434/cnU1VaR03cCqVkDEAKM6EddthQ0tLkohSAsXAhlohQ02i6klAghkMKZWtaUIDLamVbWc06VNK13q//+BqbcPAt7m+2nP/wOlxd523zMzmtk8T3ncO37Ndvf5Tucj9/+YxcdR9McSqnYtOhp557LE08+yUUXXhhLDCXCh0Za4utpDaml1bO+H613Kej7Kes2FlA4SFcQ7cjRRwX47PMtrFz5A0OHHhTvcDQtoSRsckhFp5QJYTjNn6PXbdsm4LJxt2hI7TXCHHjggTsYcZtMUHs9Z4UA23SmrQGGy0Y5dUJOXCgnpqZGtJqm9Vj+MVfz0MN127VczRzQlX2WPAyZ9ncePqmNaW+utisikw68nfc/7sIQtF7DMExCoUZ8Pj8AhYWF3HrLLbhbfNxsWRGEsZMr9mnaXk/3kdT2XsnJZSQnz6S65hjSUnVF8Y4cOD6JV159jat0ckjTWknY5FBz/Y1TreN8kClRShGyTexoNZFEELHchCPbPxEaQsVe6m3V/ou+IZwaJQVIJQhhIm1nPNtWKCnBjCasYnu2T59eaFrPYCT1ZUhRtx8FX04hRTndfRxNg+SUFMrLyygoGBDb5t5mHkJNdRU+X0ct3DWt561Wpuu+tb3dwILpzF04nOTAQN2gegcE4PXqD0E0bVsJ9NTRuiF10xanL7XENMxoQ2qF360wjOaJHl4zjMvVXrPZXWDbBExnPFvYyGifIkMIbGnHYtVJIK0naDnFRNO0ni2/oD9rV62kb99+mOb2H6rYtk1pyRby8vPjEJ22N+lpq5Xp6ZRaTzBy2IssXXERw4ZmxzuUhNYYhh72FKZpXSJhkkNim+sqtly8s6Wpz08kEuH777/fo7FJKWmINOL3eWNvoqVyaog0bW/zxhtvcOqpp7ba9tVXX1FWVtZqW05ODhMnTuz2eKzSb5hpTuDgLF0GrWndrU+ffHJy8li8YB4NDXXsP/4neDxuIuEIVVWV1NfVMaRoOIaeVqb1Ms55pqbt3XzeGvYbcy+bSv5Mepo+r2pPdhZMOzePFav+zsJFYU4/5cZ4h6RpCSFhkkPtcXoPNaWOBAHTT319LbZtx0qMYg2rOzMeLZaipzkptW2aRypnzXrTNElOSsHn8TavVKaap6sJenYF0bczpsc7BK2L9cnJ5Luvv2y1zSWgb27WNnvKPfj7n8G3e+hImtbbmabJyDFjKSsrZd5sZzEHl8dNUiCJIUXDdSWh1imm0fJsqgfoQd+KppWUbCQ5aSCuhH+nF1/9+rno18/Fo0/cwAXTbsPj6cqekpq290m4pwwRTbdYjRGEMCA6pQsEhqHwejz4vNFSSQkIQVefx8Yqi6MrmymlolPawOmB1HS/4Rx/m+7W3XV+8fbsUlaXBNlSFaIuZJPiNclN9zI0z8++g1Lpn9W1PSLG7rt/l46naZqmJQYhBLm5eeTm5sU7FG0vJe2elk3pad+P1puNGvECK1ZewODB+jm+M1ymh4aGep0c0nq9hKobFwCGQCAoX1mCGS1rF87maHLGaU6tlEKJ6DpiqmsviuhFqVbHdBpXOxRgGobzAxTNSa3u8OPGOv765mrqQ5KJIzM4dGQmp47P5fBRmUwckU5to+TBD9bzt7fWdMvxNa038fkDAKxZtSJ2vemrpmma1jPJDhYu0bS9jddTS5+8jygurot3KHuFo49K4aVX/hnvMDQt7hKmcsipv4mufGGYfHLve6TkJnPiLWdg+hMpi6uwghFKlm3im+e+xBAujG5IDdUGLe5/bx3p3giF/gquPGZfNtcZ1AUjnLi/UzkViUR48aM5jBkxmLMOHYZtSx58dxnVITfXnDCAZF/C/Ho1TdM0TetBelwuRTek1nqY7KylZGf9lbkLL2V40cB4h5PQ8vJcTJuWwYxv7ibYkMnkSRfFOyRNi4sEyx40pYgkCEFtaS3/verf0WllO1pAvnPaH0N1cKupV5GC6HL2pjCiX100dx7quhOL+95bS06ywetP3IvH5eKRJ57jmhv/wqQxzX1hLvvtn1mxZh1ur5eXHr+Hu+77Nz/MWcApF/6e+95bx3WnFOI2E6o4TNM0TdO0HkD0sFxK15xlalriGTnsRaS6Pt5h7BXGjXMza9bWeIehaXGTUJkDI5YcMjCEgSkMXJi4hIkpXLiE2cmLK3rp7P6mc5wOLu6m68LELUxMTAxhYiBilUNdybLBbVVRHwzy0RtPsaW0gjWljbwxs5R35pbxycJyZs1bzPcfvYIJHDflYj789CsG9O9HqGIdEVvx7uyyHR5H07TWGoMNABQOKYpdb/qqaZqmOXpa5ZBeyl7rqXzeGraU6OllnTV+vIsHHtKrl2m9U4JVDhFbHt7AiBXjqOjnOV3zst32KM5Jzo7WMGuuHHIaUYtWNUMCo0s+eaqsi3DZpAKyU1188nYeYw75GdmZGZx2YA5JXpOwpQhbkmFFg5hw7M/xeb38/o9/5buPXmLuoiXcfcsEImYSd721hlMP0o3oNE3TNE3rWj1utTJN68GkPZeq6oNJT0u4t34J6aAJGTzy2PVYEbjskr/oRtVar5FQzxDN9TfOCYeBQEYbVAslo6cgbZ2M7OgEpTnZo6JH2X4ExbZdg7YfsbmzkEBgCIFQInZPV5mxdCsnj88F4JkH7mTlmvWc88vryU5xnpiaWjANGdCPI35yAL+Yego/rA1x202/IdJYT05WpnN/nm6iq2mapmla1+tpq5V5PD3r+9G0loYO/oA58weRktQfM6He/SWmsWPcDByQz3sfVOlVzLReJaGmlTVxUjAC4UzewkRgCBNTmJjCiH5teWlr27b3G7HrRux2i8sO/jOil5aPEYAQTTGLVvHvjo8XVERXZAOXy82IoiH87c4/xbY1XUYNH8pVF59DSnIyfo9JVb0iOzMzdv9Px2XvZiSapmmapmnbM3pYT8O0NH3OpPVs4/b9Fw3BFyjeXB/vUPYKqamKqWemsWzlEzzy6C3xDkfT9oiEyh03TcmS0UlkEomNk+lwpoLv/qc67U37alk3pFptbXmtZW2TQAgQqqkSScZG2N0oI7bkhW+2tNrWEM7kn6/PIq9PQWyb2e/A2H51jTZLN9Xj95ix++tDNsP7Ju1mNJqmaZqmaa3ZUsY7hC6VktTDmihpWhvychZRWzeI2roJpCT3rARvdxk7xoWSKTzw8E2cP+16UlJS4x2SpnWbhEoOgZMYUtHEkC/Fzz4T98Pt9+LymLh8HvwpflxeF26XG9PrxuVx4U3yYnpcmG4Tt8uNO+DFcBm4PCbCNHG5TNweN+CczEjLJhIKY4VtpOVcGusbsS0bO2xhhW3sSITG2iCRSAQrbBEJWQRr6rFCFuFgiK1llaxfspZQbSOwfYJod7hdBmcf2qfVttUlQV5+6T3OnjIegJf/9wFnnnx87P6vl1eRn+6lMNcf27ZUfzKgaZqmaVo36GmrlRmmor4hg6SAXqlI69mGFr7DwsXZpCQXxTuUvcY++7hZvzGZmbO+4eijjt/xAzRtL5VQyaGWFUPeJB8jDhpFfX09BBswDAPT5cLldWG6TEzTBNPANA08XjeGy8AwTQyXidvjwjCd/Q3TiCaKXAjAtiXSllghC8uyULaNLSWRxgjSlijLJmLZ2LbEDllIaTtJI0sSCYVQtkRKiT8pwMgJo5nzySwMiPUy6gp9073bbfO6Ba+//TF/uPpiAJ5/9b1WyaG6RptkX+tfZ3F5IyN05ZCmaZqmaV2sp61WBlBXl6eTQ1qvMHb009TV34lh9rAsbzcat5+bDz+coZNDWo+WMPWEKvqfjcSWNsMPGEldbT3SkijbmQwmbQm2QloSadtg2ygpkZZCRhR2RGKHbayIjR2xiYQihBvDhBvCBKuDNFQHaaxtJNwQIhKKICM2VkRihxUyIlERhbQUypZgS5R0kkLKlijbBuU0YFSWIhQMOvEpG4mMprS6xi+PHcDGysZW2/pl+vj7nbdwxgW/YdpVN3H5JRdQ1WBRH7IpqYkgpSIn1R3bf31ZkDdnlXRNQKqG82/9lHK7a4bTNE3Tds+SH3/s8L5bb7l5u+233nLzDh+naZ3V0yqHALaUHhLvEDRtj3G772T58rJ4h7HXyM93ccEF2Xzz7V08/K/tX2M1rSdIqMohFUuzKAzTQFk2tmlgGgJlSZTbSc4YQmHbEiEEylZIlw22wlASW5kYhkDZEmEaGAZIISDaQFqqaHWSrZxKIamQtjO1TEmJLZuSQc4xkNF9JU6iSilnapoEZduxpFZXrlmWmeTi3nfWcOjwTCwliViKsKWY/skPrNuwEVtK1pU1Yi3fSsRSLNv0A5sqv+DDeZIUfwr1oXqklLgME7i7S2LSNE3TEsfIUaNi15999r+sWL4MgKJhwzn33GkdPm7Jjz/y4ovPc9ufbwecpNHUqWe3GlPTeqNQOAWlmhcb0bSezOupY9SIx1m28jKGDM6Mdzh7jf3297BkqX6S0HqmBEsOAVLFEi5KSpBgWzaGG6QlkIaNkM4y8tKyUQoMU4CpABOhbCxAGAaGIZGGQAiBEDJ2DKVUbHqYkhIlQUpnullzYsgGiZM8krZTTaQktmVHtzmPlSgMpZBCYLRqa717fB6TDeVBzjykD25T4HYZ/Pue73n473/iu9nzKVk9j0tPPxiAXz8znaF9B+P3+Lnm5Gt487s3WVe6joZwQ5fE0i5Vw9wn7uLx7zZRb8OEqTfzi2MH4y15jz/e8Bp3PPWE89MIr+a/193OD/veyAPnZbHwned46eM5bKyHn11zN6ftl4ULm/Lvnufxt2ezdFMNScPP5pbfHUZ4xvP88ZkZ4Emn6Lir+f3pg9CLSWqapjVbsXxZq0TPjrz44vPb7dsyWaRpneGsVtazmlJ7PQahUAo+X228Q9G0PcLjqWNo4ZMUbz6H/L594x3OXiM7R78b0XqmhJlW1kRF+w4pqbAV2LaFkCo6vctG2grbsrAjtjOdzLKxIwo77Ewls6NVQDJsY4Vtp7dQyGkoHYlet0MWVthChp1pY7ZtRx9vYVsSy7KRlozetqJTzZx+RSJaaaSkxHYyTdFqpK517QkDKa8L89LXmzGEwG0KDj/sJ/z65r/y3MtvMelIJzH0w8oahFD4Pc2NqJP9yQAEPIEuj6sV4adg/ElceO313HTDtcx88UFeWx3GzBrL/tmK+uiPxa5cztJqD0P278uqV/7GP94po2jKNdx4w9W8e/+DfLTFAmyql81maWUB1//+Gi44YSwpJR/y0DPfcv0tf+SmK6dyzJjMxMpmapqmxdGzz/43luB59tn/dvpxbSWBdGJI21k9bbUygEDAR7AxLd5haNoe5fdvJSvznXiHsVeZPCmFTZs2xjsMTetyCfleO5pzcZIwpkBGmz0LBLZlgTLBFEilMKWJFBbKEM6UM1OgTIUwACEwDGO7sQGnKkkppFQopZARO1oN5EwnU7Zq1W+oqbIolhiSTnVRW7VCXVE7lOQ1+e2Jhbz4zWZue2UFJ4/P449X/4LhI/chPT2Zg8cPY966OlzR32Bhn0KSfU5SqCCrAEMY1Aa7+5MvNzn7TSAnemuct4plK7diD+nDgeMyWBOEsQFF/br5bDEGcsKgAG88XEbh1P/j3KNyMIFxnvuZMaeC407IcAYJDGDkqH0BCC2voI4AIwoLERSi11TQNE1rtrMVQy3d9ufbY4/RiSFtV/TEnkM+XzLV1YPISNdv+rTeJSNtLfMWVjCsKCveoew13n3vVS65+Np4h6FpXSphkkOK5rMMASCdFcWQYJsWpmliGwZu24MyJMK0EYaBNCxsy0Q0JYIMMAwDp82QcNJKQsQyNqqpykdFp4Y5hUpOk2sV7UGkFNiSiGWBrbCljbRtIpFIbLUzOzotzYm9dUKoq86XPC7BeYfnx26/P6+MMpnNojUh3vtxCal+F33SfETsCKs3ryIjOQMBVNZWsKFsPRW1FUwadVQXRbMtm/Lpd3H901vY54zzOH5MLkEFVkiicDPo57/jl4/O5x8XJ/Ha88vpe8ad/CRd8ErERb6rjpJNEQDOuOUOjEBGmyVs3mEX8uCTjTz3j9/zyaIKMg+7ij9eMI70hKt30zRNSwydSfRsm0jSSSJtVximoOvOeBJDViZs2HAYW6s2kJG+Lt7haNoetd/Ye4hYfuYtuIQRw/IwE+ZdYmI65hh47PEbufTiO+MdiqZ1mYT8s1eAlAorYiMQSClAgmFAlVlLvStI2LRQHjCEQQoBUmQyyXYAI5okcvoMCZRQiDY6C6poxZCKZodsu7n/ENJJ/ti27ayUJqNTzyLOV2lLZ4l72zkp2lMtyX66X06b23/1FCxYtwCA8485nxWbVjB98fRujiZC2bJi7MzDOfXYAxjohmwvVDTd7cojMv85Zi/pw4LafCbvn40J5JsRitdGyDy8EF+rH1y47cMIH+f89k6Oevc2bnz1Xeadth9HZurskKZpWtGw4TtdMQQwderZbTak1rSdIe2elRhqkpOTSln5eJ0c0noltyvIgePuZ+7CSxk0YABer2683J4+fWHSpFwef/ImLr7wjniHo2ldIiGTQ+BM+7IjFoYQmMrEVpKIaSEHezjy0GMYPGwIpsdNcnIyjfVB5s6dx3dffos/1Y/pdWEYRixJBGw3vQyIJYeUik4Ri36V0qkKarpuWRayziZtnQfDIrrd6VcE21cO7Wke00PYbk6uVNRWdLD3LqovZunChaRGf4zenEKyBuchvv2Gtz8pYvKIDLZGWj7AYJz7R559chmRgikckGMCcMpR2fz1kwe4130ak8f0oWpLkH2PPoCcNv4lWmVz+GyhzdACN8tX14I7m1SPfpHSNE1b8uOP7a5KtqPl6keOGtWqSqjpetN9mtYZM2fXc/RRSfEOo8v5fIpg4wAaQ8n4vHXxDkfT4mL/sY+xbMWZ9O+/b7xDSWh9+kBqWhKfff4BRx91fLzD0bTd1unkkBDCBGYBxUqpE4UQhcCLQBYwG5imlAoLIbzAf4ADcApJ/p9Sau3OBCWIVvZYFrYwMJNdpB/Zj9Ula7jg/GmUl5ezau1qpFQYhkH//v058pgjGbPvGL7//nvy8/NJT08nMzOT0tJSPB4PLpcLt9uNaZqx65ZlYUenizU0NGBZVnTqmE04HKahoYFwOEwkEqGkpATvfl7KP9yALAkjbWeqWXvx70lTJpzOmzPfIhQJceW/rqQx3IiBgc/j67qDVHzB4/d9EbuZeuRN3H32pVxW8jSvvvkAfw2DLzWffbI9se//5GNymfl2GUVTDiSaG2L41Bv4beqLvPbpSzz4cYSs4Scx9MgDaKsmyqpZw6y3P+L5KoukvmM48Yrz2DdZJ4c0TdOaVhxrT3tNp3dUaaSnlmmdtW6tzeo1isGFPe91OS01nYrKofTrOy/eoWha3AwvepllKwbRv79u0t6RQYPcLF+6FNDJIW3vJ1QnV9oSQvwGGA+kRpNDLwOvK6VeFEL8C5ivlHpECHEFsI9S6pdCiKnAaUqp/9fR2NmuDHVSylFY2NjSxsJmzAFj2bymGJfpYuhV4zju+OMoLi7G5/ORmpriTANTKtZrKBhsYO3adRQUFLB27Vr2228/3nnnHRobGxkzZgwHHnggUkqqqqqYN895sS8qKmLFihUMGTKE5ORk0tKcJz87mvRpWVmkoj2KZnw1g/l3f4UlLZRSVFRUYmJgGCYGAgOD1DF53PZ67z3BtuuKWVepeP3u22k44VZu/GnfxC1R0zRN0zpt4fy5HHzYEfEOQ0sQ9z3we046KZ8+fXpegmjV6koGD3yKpKTKeIeiaXFl2x5WrzmN1PTRpCSb8Q4n4dTUwmuvlVBb18gffndvvMPRtO18O2M6k447YbZSavyO9u3Ue3YhRAHwM+AO4DfCmat1NNDUpOAZ4E/AI8Ap0esArwIPCiGE6mwWqomUWGELXBCxItTX1zNgwADeeustNmzYwBVXXMGTTz7JkCFDqKraisvlZvLkyaSnp1NYWAjAtGnTmuKPfe3bty/5+c1NnouKnDWwbNuOTS1zu93NzaZbJIdKS0uxpU0kYsWmnmnbUtQveZm7Hl7I0JN+zTXH6cSQpmmapvVE5593I2+9fQ+nnpoVWz21p0hLTae8cgRJSd/EOxRNiyvTDFM09CWWrzjwgFnoAAAgAElEQVSdlOQD4h1OwqmskBjCxXGTpvCf/97HedOuiXdImrbLOvtS/k/gOiAlejsLqFJKWdHbG4F+0ev9gA0ASilLCFEd3b98ZwKTUmJbNigncVNVVcXWrVs56KCDyMjIIBKJUFFRQVZWFgMHDmLo0KHYts3WrVu36zfU1JxaCIFpmng8HjweTyzpI4SgsbGRUCiEZVmxKqGmnkNLly5l0aJFnHzyyc72sI0tJUq1Pa2sdxOkHvhr/vVUvOPQNE3TNK07SSkxTKPHJYYA0tMNNmwoAnRySNMAhhW9zvqNo8jO9sc7lIQyaJBBbV0qa9Z9Rlq6mzlzf2Dc/gfFOyxN2yU7fDkXQpwIlCqlZgshjuyqAwshLgUuBUgS2z/JKAR2xELZTqLGMAwsy8KyLIYMGcLWrVu54IILMAwDV/SspCmpI4SIfW1KELndbrxeLy6Xi1AoxLJly6ipqaGmpgaA4cOHk56ejt/vp66urlUz6jvvvJMhQ4ZwyimnYNs2ViSCLSU9bQlXTdM0TdO0zpJS0hjcvopa2mDs5bNPXC6w7Mx4h6FpCUXwBZu2TCS/T3K8Q0koY8e4GVbkZtEixezZ3+jkkLbX6sya4IcCJwsh1uI0oD4auA9IF0I0JZcKgOLo9WKgP0D0/jRarHDeRCn1mFJqvFJqvM/wsm0bZyN6syk5BLSaxtWUCNq2L1DLSxMhBB6PB7/fj2masdsejwev10tVVRWffv45c+bOpaSkBNM08Xq9ThyGQW1tLZ9//jmGYTjTyezW42uapmmapmnwwfvw6cdgWRAKQTjsXJquRyI7HiNRBHw9bzU2Tdsd/QtmkJz0Hhs2VMU7lITj9cIBBwgisiTeoWjaLtth5ZBS6gbgBoBo5dDvlFLnCCFeAc7ASRj9Angr+pD/RW9/G73/s53uNwQY29Qou1wuwuFwqwRRLFkTrRJqOkzTVDEpJZFIBKUU5eXlFBYWkpqaytKlS7ntttsoKy9HSklGejqTJ08mEg7zw8yZbNqyhYMn/ITcnGyEELz66qtIKXG73YCTxhLOmmo7+21pmqZpmqb1CMFgEBW2mPEJCAGHNLZYr+fD9k8y13ihMhn8XmgMQyAJRozZQ0HvhLw+evqMpm2rT858+uTMRymDpcvPYOBAvdx9S6eflsfDj17PFZf9Ld6haNpO251Z4tcDLwohbgfmAk9Etz8B/FcIsRKoBKZ2brjWiRZhtK4kMs2O65Nb9g9qul1fX4/L5SIpKYm1a9cipeS5559nwYIF/P3uuykqKiIYDLJ8xXKuu/56CvL7MWXKFEaPGEF5eRm5OdmEQiE8Hk9sVTRN0zRN0zQNCgoGkJmUjywv55CUDDq7ZllhCDJCYOGc/cmtsMSCkft1Y7C7wOWCUCgZr7cu3qFoWsIRQjJy+MssXjqAgQMy0G+THEqBZesCAm3vtFN/xkqpL5RSJ0avr1ZKHaSUGqqU+rlSKhTd3hi9PTR6/+pdCmyb5FBTYqZlc+mWPYW2FQqFaGhoiK08ZkvJbX+5neTkZO6//36GDh1KIBDA7/czePBg7vrb/5GTk81DDz9MY2Mj/fLzcXs8hEIhwuFw7NjgnMgoXTWkaZqmaVovN2Xar/h22fqd/rQxHcgGcoA8G9K2wMJZXR/f7qoPZsc7BE1LaAMKnmP1qnWUlVk73rkXSEmCgvwAq1YtjXcomrbTEjbHKwzRKgnTUeVQW8mi8vJyvF5vbNWxl159jcMPP5wpp5+OJzo9rCWv18uUM6Zw4EHj+fcTj1NbW8srr79OamoqVVVVsZXOHAohiE1j6+wnZZqmaZqmaT2N6oJPyfNtSNmpdW33jIZ63ZRa0zqSkryZfcY+hhAfsXxFAv4R72GGCccfn87suS/x2uv/jnc4mrZTEnbxUdPldppHR883XDuxTurGjRtjq5iFw2GCjSGmnHoK2VlZRCIRkpKS+GrGdCoqKvB6vASSkkhLTSccjjDxsMMYOnQIf779Dk444QS+nPE1Y0ePYsuWLQwfPhwAwxSopryaHUKhE0QAn85aQ256gNsen86r/3dmvMPplHA4zE2v38GKJcspDZZjeEx8uUn48wIIl8HWRWXIkA1Api+dzIE5PPOLBzs19u8+i+AP+AmHFFWVkmC9JBhUNAYl9XWSrRU2DQ3ObSus6Otdyayn9t/tsSvKbYL1MjZ2pD5IfvLGTo9dV1/P7Dkzcbs9O9z3oPEH7dTfpqZpmtbzRLqomnqQDQ31Tg+iRFFVPYqCfnPiHYamJbwBBV8zoOBrNm4aRzA4iX790uIdUlydeGIajz62Mt5haNpOSch3daLpf6K5E1F708faUllZSb9+/WK3V61dS3Z6Gh6Ph4qKCjweD1ZEoqQgGAxhmm68OV4syyLU2EhychJFw4bSLz+fxUuXMn7c/mzZsqXFtDKnQkmx/fKtvdFjTzwau74wDKUVRqttl1502U6NFw6HKa+oIBSKEI6EKC0tx+02cblcuF0eAkkBCgcO6JKkhG3bJBsBJv5iEqHqIJnlyagAkGQgkdQkV1MmK9nsriBcHkQ0dv7foYWbgvQAwUbwWFDvgoboxQ2Eg86nrUqB2wMlpWu7ZOxwAxiqeWyXYVFSuaXTY5eWlpCVlc2A/gN2uG8oFNbJIU3TtF6ub2bfLhtr4fcwbiK0UeQdF8FQRrxD0LS9SkH+HNYXB9haeRQZmb54hxNXPq8uH9D2Lgn5rk6B081LCIxoTU7TKmVtLVW/rerqagYNGhS7vXFLKaOGFREIBCgtLeXll1/GslrPi12wYAGTJk3C7w8QbAxSUFBASkoyNTU1SCmpra2NHdMQBgiF2kP1QhHL5uPvFvPSx3PweVyMHJTHiRP3YeiAvD1y/M648PyLAKhtCPPWgpe58PxzAXjy6Sc6elibZs6eS052Jh6Pl9SUFIYOHoxlWU7yLhSioSHIjG+/5YjDDtuppGF7LCVRShH0hakZHKYqVE1VuIbqcA21NVsJ14QIV4dp3FJH2phRnR53cBr8rBDCYQu70IVlgW2BJZ2vjVVBrFffxE5SyNQ0nsnP6pKxQyGwIgqrrhF7aw2htHSef7vjhu7b8no9BAKBHe4Xagzv1Liapmlaz3P1H/6P5S/9lQLX7q/uJRTYduIkh9ymSTiShMddH+9QNG2vMaDfDFasysSoOYC01IR8u7lH/PSneTz931s475w/6YWNtL1Cwv61SqkwhIguGU+rJeybtJckqqura9WjqLahgaSkJEzT5LkXXuB/b74JrgBC2aBslJKgJHl9Cxg7egQpyankZGfjMk3OPP00bNumrq4uFoMQAolqNzHRlSmjmvpGfnvPy9SFFP0LR2BLmyWbq5j+z1d59e7LMc34PdG0rA5qSgLZEhobDZ58+olYwmhnjR41gsrKSiq2bmXxmjLSs/tQNKAPHtMmJy1AQUEmeXm5XZIYEkJg1YSYmHEgbq+LzcFSNgdL2dRQAihq1FZkSJLqTWbiiYdQ903n51JneBUjsqGhIUwgsP2fmtxSg/Hoxc71UaP54uf3d8nYSoGKWIhX30C88AK1z7/M1z90emhN0zRN22lzQuEuSQ41JFhP20CSQTikk0OatrOKhvyPJcsCeFyj8Qd6Z2IkN1cgpaCmppr0dF2FqCW+hEwONa8JJmKZlraSQ01aVhM1XcLhMD6fU8rY2BgCoLi4mAXzF2Bm74Mx+nLMqkVQ9SN21Soi1etZtnw5gwf1x+/3k5OdRSgUwuVyIaVEStncgFrgJK32QOHQI698QUh5GD52TCxRlpqaTm6fftz9nw/5wwU/7f4gOrBtAkgqxdNfP73LiSGAeQsX0q9vX1Iy+1C61ktlcQnTZy0ht6CIrACM6SP4yQH77mbkDp/Px69PuYJ/vPQAI3+6HyVWOY12IxWhKmoj9SAgJTWF/gUDqPm6jBsu+l2nx1ay7eq28CfXIjf9gDn+b7GO8Eqpdvff2bFV2TLctccgbr4L6utxz5vjrBesaZqmad3EvROvYR3x71yha7eT0o1l77gHn6Zp2xs5/EXmLbqQYUOHxDuUuBk50s9nn7/G6addHO9QNG2HEjKNqwBpSwxDIKJL2ofD4TaTQG1VDqWlpbF69erY7VA4TDgcZvXq1ZSVluJOzsbc+A6qYi6yZh12QxkAZeXllJSUkJGRQf+CAdi2TU1NDcuXLycrKwvbdhoTC1NgmEa75YFdtch9Q2OYT79fzKCho2KJoSYut5s1FZIb7n+ti462+4785X+pqGog4N/1WnClFGNHj6Jw0ECU4SEkDWZ9/zUl61dQHxGUhAJk5A3gy6+/5ouvZrClpGS3487NzeVvl/+FEwITMWxBuieNXF8WOb4sBvYfyODKvtw46gruveEucnNzOz2ubHGiXFxcTHFxMdXV1RCqhmAFdiTS/H0Dlt35HlYdjr1yGRYC6p1POUOlldhbt3Z6bE3TNE3bWSvW1fBxfc1ujxO0uyCYLuRy+YhEdr8iStN6q/3GPMmPS3b/fH1vte8+PnJya/n34/+MdyiatkMJmRyC5sqIbXsOtbnvNsmiAQMGsGzZstj9Xo8n9vik5GTsrauQVSuRNeux6kuQkSAAqampIAR+vx+v14vP5yMcDrNx40b69+/f3HOI5iXtu5Pf6yY1KUB9XW2b96dlZLF0TeI82fq9JtV1IbzuXf/YTwjB/AWL2LylhEF5yYzt62XEEWcx4oizEC4/Y/t6GZSXjMs0kbbdavrg7srNzaXiy2Lqw/X4XX4CLj9Jc+H3U6/ZqaRQE6Wa/83269eP/Px8UlJSEcc+jjh/MTK1qMXOHf8b35mx5e+WYk1uXi2u8bDDsVJ794oRmqZpWvf6w633sLKskrbPWPZehmFi2wlZaK9pe43x+z/AqlXrkb20kv2AAwQRWcLWrRXxDkXTOpS4ySGlaNlSxrbtTlUNgfNmuaamhg0bNgCQFPCjlMLv99Mnvx+Rmg1YNeuJ1BQjw81zyPP69CU1JQWfz4cCAoEAwWAQpRQ5OTktjuf0G+qKnjcdEUJw1k8nsG7FwjYTRC63h4ZQY7fGsDOSvG5+XFNGsn/3yq8PHLc/GzduYtWqVRw+NgeXFcRlBZlQGOCIfXIpLt7AiGEj+PKLL3jowYf4059ua3XZHb855Uo2vLGcsekjyHNl8dspv9qlxBBsP/VLKbBtiZQKKRXuv98Vu88o3YJrzZouG1u2+NuwbUkH/ds1TdM0rUsEy6vZqnav9CfgA0+CNKMGEIYLW08r07TdpBg7+lGWr9rYa89Jp52dx0efPsTixfPjHYqmtSuBPgrZJtGiFIZhxBIy7VVVtJUwEkJw+OGHM2PGDKZOnUr/fGeJ1czMTPY/4ADCjQ2sX7cO3E6ZsGGYDB4ymKJhwyksLMTv91NRVUWSz8fy5cuZPHmy04S6KQYjumJZN1cOAZx+9P4YQvDsu98RSE7Csmyqa2rISE+nX+EI/Al0BnXGpFE89MosLj1t3G6Nk5KSwsETDmTt2nXMmzObn4/rhxCCiBVk3tw55OZkk5mZzimnnsonH3/MoEEDAVi7dh2TJk/erWPn5uYyuG8hUknqG4PkFu1aYgig5aufk7Rx+lapb/8EpfNxfbMhdr9RXY2ZltIlYxul87CKrmt1f1e+EIuHH8HYWAyGQUBK1IABiCuv6LoDaJqWMNasWhG7XjikqIM9NQ1u/utT3PHny7hkzEiSd+F1xwYOOqLLw9otpqlQ6OSQpnWFcfs+wpx5VzBiRL94h7LHmS448WcpLF5YF+9QNK1dCZQcas22JUqAGZ3CFYlE2u051PLS1Dx65MiRDB48mP/85z+MGTOG4i0l9OuTx4XTzuHwgyfQ0NDQ6njJyckcd9zRBAIBZs6dS3FpOasWLeCCCy7AE52WZllOLaQhDJRBq+qM7iKE4LSj9+e0o/ePbausqefsGx5DsYxfnHxYt8fQWVOPHc3UY0fHbrtMF5dedNkujzdo0MBY4qfJ8KLmNyf777cvY0aP4qGHHgbg2muvwd0Fa9+mBVJZWbuGxfXLdrxzB5Tt/Ptwuz2sWLECKSE5OYXsmo2Ircupevk5vGtqCHzzJZVTzqbhtS1dNPYK7FAwtq9lyXar7HaFKxzBe801Tmd2KWl89tkuG1vTtMSiE0LazqppcLMSm/3Y+Wnfa7wwtBti2h0CsCxvvMPQtB5j3H4PM3/R5RQNLYh3KHucEILUjFk8+PB7XHXFHfEOR9O2k7DJIaR0Gj5Hi3WamkFD29VCLauGmq77fD6mTp3KSy+9xLKNWzjx6CNITgowcuRIli1bRjDovIH2+/0MGDCAhoYGaurq+ODzL+mXkcr/+/npWJ+cid9nkJ6eQdnYfzkBCOd9sdHN08ra88rHs8jL60N1ZTnHHTJ6xw/oRk1L2LdldxJDneV2uzn77LNi17vClKNP4R9vPUht9u411qyqDbN6Sz22pbDdOdi2pKJeUtb/Juy8RsKVScjULJjUH1lrUtsQ2fGgnRg7nN2AqrHJTnUSaxs2VuzU2OCs8Fdf3/ayvWkVFaiyMjAMkBJ0s2tN67F05ZC2swzDtUuLuS43IWV4l4ejaVoC2mf0v5g552rGjN6NCv29lM+rECRY531Ni0qg5ND2PVQUChFdEcy27VbTzDpTRaSUIjU1lfPPP5/HHn+Ctz76lMmHH0pedhZjx47F5XJhGAamabJ06VKq6+v54tuZ0FBLg8ckOSmJWjsE+BF2sHkpe8NZxr6pcmhPpojmLFnHezMWMXyf8Zx51CgCvviVOu+J5E9n7GpPoPZkZWVx7YmX88y7z+3eOAHFV0sqkbYkEoogLYm0my5gh1snn4YXdr5pdEdj22GQtgF/e97ZeXVwp8bOzc1j9tzZ1LXTCH1CWRnBBx9stS1hm5dpmrZbRo7ZN3a9MdjQwZ6a5giFgs6KmTup3oDUxJkpr2laNxJCccB+D7Ng8eUMH5YX73D2qNxcOPjQLP7z7J2cd+6N8Q5H01pJoORQ6xMJBZ1q+Lyj5BA4FSWnn3oKn3z2Ge9/8hk5uTmcNPmY2D62bTPrx2VUlpcTMAXHTJ5EQUEB0gqB6ZQSK9PfPDVHgIw2pd7xd9J15ixZx22PvU3hsLEUr13BCeef001H2rHHnnh0u22JkizqCrm5ufzqrMt3a4zzD+m+FcK6c+zkpCSOOOzwdu9XM+eg5i+I3Rbj9m93X03T9m46IaRpmqZ1B9OMsM/oR1m87DKGDu5dCaIRw93YtuJfj93CLy/9c7zD0bSYBEoOtaakBCEQSoByKoeapoy1nDrW8np7ySEhBPn5+fxi2jRKS0uZt3ARz7z8GhHLWQHN7TYZ0i+fYw87mKysrObHCxdJJ7xJRErKpURZFigQCAxDxJYTV3R/9ZBSitsee4dBRWMoLykmK8kVS059ueQr3pz5FlJKUvwp1IfqkVJiGib/OO/ubomnJyWC2uPz+eIdQkISV121R6vlNE2LHz2tTNtZXp8f9y4s2GGZkJ7eDQFpmpawTDNERur3wMnxDmWPGz3KQ+XWpHiHoWmtJFByqPlEQgAohelyEbJDrH15MdUTK2kQIaqqqjocZVeWlw8CczcXM2/2rA73K8jIp/SLdShD4jJMDNH2j6+r21T/6v+eZ8WGUrwuF4cNTWHK5We16nf05sy3GNXf6T10zcnX8Mn8T1i8bnEXR6Fpmqb1NjohpO2sUGOQyE58hBABvnDB5GO6LyZN0xJX/4Lv2bjpRDIze1+TgomHeqmuLiMtLSfeoWgakFDJoeYTCQUoqVBIPKabSEOE0vfXY0uLiLSQSqJQGMp5jKTtZe7botpL3WyzWWCghLPRFCZCCDaa9XgMF27TqdrZE6uVAVx42mFc/89X+NfN59M3p+2P1Qr7FJLsSwagIKsAQxjUBtvuGaNpmqZpmtYd3G43hpJ0thtdpQv69a4ZJZqmbaO0vJLMzOx4hxEXzz7/D668/P/iHYamAQmVHNq+IbUhBCiB1/DgM31IZWNLC5SJLezYwzqfGmrreCJ6q/XxDQChMJQJwjnJcRsmMrqfQu2x1cr2Hz6A/9x+MX2y2u4z4/P4OOWg5nLMkQUjGFkwAoC62t1bcUvTNE3TNK2z7HAdacLodBm1NQRGJdr69S0YAoQrHO8wNK1HS0tZRFX1kaR3X0vNhOVy62YNWuJIoORQa0oBwnBWLHO2YAgD0/RFTzic0IXYuRLEds9V2qgCUtg0J4+aK5ScHkN7tvSxvcQQQG2wlnvfupeM5AzOP+Z8vl7yNSs2raCitoLLjrlkzwWpaZqmaVqv9c1HL3PE/oMZrHZ8jrQS8JrQP4ETQwARC0xDLzutad2pX/53rFk3kvS03ldGGI7sWpmDpnWHhJncKVpMKxOAlBIhnB5ChulCmCYYJpg4eSGXAEM4U78MdnARndin9UUJBaYBpgAThAmGaWIazhQzBGCohGjM6zE9LFi3gOmLpwPw3bLvmL54OovWL4pzZJqmaZqm9Rbf/fAFE5I6/uh/nYD1w2Hoz6D/8XsosN0QiYTxevQ0fU3rTj5vLSOH3c+PSzYje1mu5KIL+vLWu3/lu+8/jHcompY4yaEmTpJIOMkhw8SIrUYGwoBoxqj5YkQTNR1eVIvH7Ghf5yIMEUtOiehjnS5IznQy0zAwDBOE2GPTy9ozZcLp+N1+DAyu/NeV/Lj+RwwMAp5AXOPSNE3TNK33UIaITb9vj2HA2tWwbs0eCmp3KRtDVw5p2h4xeNB7FBfXxTuMPW7yMX6CjbO5/4HrkL0tO6YllISaViYADIGQgmBDEJfLhYxNK3OSRMQSMSqW2mrrNKTFXk2PbrFF0LrnUBsjiJZdiJxjm4bhxIBCgpMgAhAiltSKh0OGH8whww+Oy7E1TdM0TdMApNukUkFqO/dXuaGhD4zoA5mZezS0XSalhWFE4h2GpvUKmRmrKS1bRUPDvgR62WfcEyYEKOgfoKammvT0jHiHo/VSCZYcMjCi6aDKiq30659POKSivX5UNC8kYnuraJ+gjgp3tr1LtHmPiK1MBjQ1PHIqhlrs3vRpmIGB2zQxTQOBQVNqqKdZOH9uvEPQNE3T4mTsvvvHOwRtL7J06QL69k2nNAMqG2FccPt9VmfAuH32fGy7QyFx6YbUmrbHDBrwPqvW9qFwUO/rP9QvHyKhnviuUttbJExyqCnBYiCQhoEVirBp/Ub6DeyPYXTl7Le2y51VrKKoeZ+2WlQr5fRDaqhvoLy01Jl2BnGsG+peBx92RLxD0DRN0/awb2dMj3cI2l5m/oLXOP0MpxwoHILvv4H6MCS5nPaNVWGYdGCcg9wF4bCFy9VGpkvTtG7h89WSmTEdODPeocSF2+2OdwhaL5YwySEgVjdkAoYhkBHJ2hWrY8vMb7vc/I61TNc0J3zanEi2zWpl7aWQnDiFs1qZEJjRWx09StM0TdM0rScTZvMbGo8XJhwVx2C6kJTVBPzV8Q5D03qVvnnzmTn3CEaNyOtwhkhPNHvuYyxdIrjk4mvjHYrWCyVUcghorh4CDGGAcpJCTqefrtBO2kdsXznU5mNVtGl2mxVDxi4ksHofKSW2ZaF21HBNCFxudxdXjmmapmma1tUGDfLEO4Ru4fdtjXcImtYrjSx6gbVrz6OwcC9pUNZFkpIEXp+uVtTiI6GSQ6JVmsWp75GGcqacqabW1NsmX9ppKN2OlovPt0wFtU5Kixb7q222N7XHdlYpE0pERxU6LdQJtm0T3LKOLY/eROOG5SjVfoLIP3AEfS67k/qwTd6goR2Ou3LVClJSUsnL7X3zkzVN0zQtnt586ymOPa5nJoe83tJ4h6BpvVJychmZGZ9TXvEzsrN88Q5njxkxAgzD5KFH/oBUJudPu56UlPba/Gta10qo5BAQTbI01wkZ0aSLEgZOz+htk0G7Xmu4a4+MJodEcypr23bUvaz6cadEQiGKH/4DPmEx8KRpiHaqgpS0KVkyj03P3MmHa6v51aMvtzvmqtWrWLlyJaWlW6jcWsmI4aPo378/gwsH0xgKsWXLZoo3FXPITw4hEEjqrm8t7mTdSr7+9AdyJ5/N8ARe4aEpzqWb3Rx+3s8TOlZN0zStY9//8D6BpC2AP96hdIuAvyzeIWhar9W3zxxWru5Ddc1BpKX2nl48w4Z5yMjsw/ffNzBz1jccfdTx8Q5J6yUSKjnU3Fuo+bZEgVLRlkBt1ebsXL1Oy0og1Wp7W5PK1Db3t0hMKZCieVvz/b2j81BpaSnnnHNOm/c999xz5ObmtnmfZVuUr1/JQcedjL1iNsIwsFv0ezIA4QugRh7Cl1sFy5bM57Z3f2g3jnfee5vhw0Zw4PiDUErFLlJKtm6tQilFSnIqw4tS+O7777Bti8mTjmsjsC28fcPl3D+vzrltJtNn6D48dN9tpJoga5bx4bPP8Oons1lv5TB64hQu/eUpjEppkdyyK5lxz5Xc9lE5d7z5MQclASpE8Vf/4YK/vIwy0xh00Amcf8W5HNrHw/MXTOapjdsG0pezH3uCCwpqmP/2M/z+kfdRRjIF+x7NWZdfzLGF7Z98R4o/4MEH3+KyI89i+A5SlDXf3M55t06nHsAdYPSvHuHytb/jqtfLYNQfeOWfx5DeTVnOpjgrGcWQs87YYayapmlaYtq6tYIVq77j9NN67rLLuTnL4h2CpvVqQwe/B7xHVc0deHpmgWKbcrIhM9MgHGqIdyhaL5JQySEgumi9s3y9L8XP+In74fZ7cXlMXD4P/hQ/Lq8Lt8uN6XXj8rjwJnkxPS5Mt4nb5cYd8GK4DFweE2GauFwmbo+TbbalRFo2kVAYK2wjLefSWN+IbdnYYQsrbGNHLBprG4hEIlhhCytk0VBTjxWyCAdDbC2rZP2StYRqGyGWFJL0lrqh3NxczjvvPD799FNGjRoFwI8//sgxxxzTbmIIACmxFahQCOX1IS0LrFAsoSYViBE/4fV3P2D5ipUMSqbzZYwAACAASURBVO/4k8hNxRsZM3oslmW1Sgy1/Np0PSsziwWL5rc9kApTW+4khgwDpF3HlmXfcPmDc3j0in58/seruf/HpilwJSz+6GGuq83m2T9NJN0AVD2Ln7qO2z4qb/nNUvPDvVz9l0/xZOfhqyxh7bcv8KeVDdz35FVtx2F6cYsIa57/Hb97Npo5knVsnPs/7r4uwrGv/KbDn0dnLX3vG+oB3yG38uyth5FmhFj24A56QGmapmlaC1JKQo0997Wjvh4CvWc2i6YltC0lNQzo37umVx1ysI/XXl8AnB7vULReIqGSQzL6f4nEm+RjxEGjqK+vh2ADhmFguly4vC5Ml4lpmmAKDNPE63VjuEwM08Bwmbg9LgzT2d8wRWybAqQtkbbECkWwLBtl29hSEmmMoOxo4siysW2JHbKQ0sa2JLZlEwmFnH2kxJ8UYOSE0cz5ZBYmTV2HepepU6fywQcfsHnzZjIzM4lEIkydOrXDx0ilsJQAQ2AVHYQLhVz0FSrUCIAIJPP6ux+xfOVKCgcPZqio7XC8tLQ0vB7vDpNDSimEMKip6XjFkYyT7uc/V4/EU7+OT+75DXe//wKzzv8bk391Kcs+8HD81OMw37yYq1/aTGjRd2wITyTdJ6n46l5ueWndNqMFWfK/6dQArz//LIGSt7hq2oOsLPuB7zZF8G1zzJbnnzL710wr+Y6z/z979x0gVXUvcPx77p2yvbDAsrt06QhKEQuCWNYOkqjRGLuJNWrUaGxR8anoi7HE7osxYomSWLFF7CiKgiBSpEldOmydmZ2595zz/rizy1J3wdmdYTkfM9kpd8797ezscud3f+d3rv8toW/u56JbJ1NZMWuXsW9PU7viY8646F7CBCkccCy/ufwijuuRSXW1A0Dt1HGcdhwcfM+/OafuafPu5fRj76X3dS/zt+ML2Fk7cHftZM6++H42RRTgI3+/YUx4Yhxp8V8EFVrE+888xYOTviejZDClZ13ChaXdsbcZJ7rwcU6+YhpnP/13zuvmh9r5lI6+ip5XvsAjJ6cz998P8/h/vmRJTRqFfcdw6z0X0sccrBuGYSTdKxMf5KCDW2+z2FBI0q4g2VEYhgHgOmXURnNICyY7kpZ14IF5yQ7B2Iek2DJQKv6fpmPPjsSiUZRU3jLzQsQ/8HtnqrRSWMTXB5Pxi/IuUiqU0igpkVIjHZdY1MWJujgxF9dxkdIbQ0qNkqCVRsWvC8DSGrSXCFL1q2rFY5Ca2toITtTZMvWNpp85u+n+CZx13V959Pl3iMbcnW4npWLCGx9z+R1Pcu/TrwLgSsmENz7myjuforI6tMevdCL4/X6uvvpqVqxYQSQS4eqrr8bv3/V8YK0UjgYCacycu4DXPvgE+g0Hnw+CadBvOAsXL6ZNfj6njh1LLLLrUsoNGzcSDodwXRfXdb1Kr/h1KSVSyvrbtm2Tn9e00ncrswvDj+0NcjPrqhVpPU7lj78fzf5tA6T54782eSXk2uCufZd77/2MKrs3Z199DLn1o9hkFXgNdZbXuNRuWEUlQLArvQq2TZFss/+sgZx7w8X4hIUv3eclHq3dOwB3173PuMvvJZyeT34wyrofJvHANffwycYG71U7mzYFBbRPa5jaTCO/oID2mbuOUVYu8BJDvjQCuJQvmcq499fhAsSW8soNv+fBSd9jWRAu+443/3IFt7xett04wc5HAKv58rsNSMBZ+y3QjaOHtiEy/WH+/PfPWVIh6dhGs7kiQPquwzIMwzBawLPPPcqBg/Po3y+lzjMmVChclewQDMOIKy76go3ra5IdRotr1y7ZERj7kpRJDjVcrl4rRWZONrGY660er/CqP5T2kjbx2ypexePlceLJHVd5SSKpvIofx8WPIt1ySLccMm1JAIlyFaouoRRPLnlz2urGjVecKBBao6Wsj0Vo7xKNxdBaxWMXTU4PZaQHuOj0Y/hh0XJen/zVTreb9Mm3fPL1Dxx1yADKK6tZtno9E177mI+//oERB/Xj0RfeScAr//MMGzaMXr16MWPGDIYNG9bo9lJKXC3QrgNoFi5ewuuTP4X+I6H/CF57/0OCwQCnjjmZQNl8IjW7rhxKSwsSidRulxAKh8N8M/0rZsz8llWrV+K6LqFQDaFwY/N2NagY1WXf8dZ/ZoOvPcU5DbMRknEvlAG5HPXbE+nohw/++hiznCBDr/kzp3UPNqggS6PPuX/g2EK45pdj+dW1b7CBthx/8zUclrvlV6980lWMLi2ltLSU4274ioYpP2fNhzx013tUAEVjf9vo67tFLQte+gfTo/DCaxOZ+PqzXLofUPsNE6dsWXml4OTxTHj5Za4a0KAUp98fePpfL3PbiLwm/IHox00vv8U77z7PjYdnMf3ZV1hYq6ma/g9eXKiArrz/3uv89ZdFgMuc55/ffoi07gAs/WQmm5Vk86yp0PlohrW3qFm9ijBAwWieffFN3n76LDrvO/0IDcMwUpYlbASt+w+ykvveB1HDSFVt8pfhqqXEYsmOpGXlZMM/n7+tQbGCYTSflDrdo/CSPRKFsAUq5iCFhVAagUZaNq4lsLXPa1ItFVraCGJYyiLDtunZ1qYoswbtOCCEtxqW2GbClw90QILWCL8fV/iZulgTinlTzrRUuFIiHeVVH7mul0xyHFxHetVJrkJJ14tVC7RQWA2Wut+VVes28/38pVRWhShuv/NKlqDfhyslNZFaoo6LzxLYARuttXfblxo/vvHjx7N69eombSulJKIF7uolDLID/FhUxKIlP/GXJT/Vb3PDBb/Gnflf3KwcInrXr+d+3XuwqmwlnTt1QSnFD3O/p3279hx9VCkDBw6s3y4ajbJy5Qp+d9EluxyvfNLVjJ4EdnoBJb2G8/o7N5FlAURZ9sYdXP3YdIZd/0+ePraEAICu5MFZLuAy/f6zGRsf55axl3LVhD/jjLuTD9bBu5MnIZdP4o4rHuH923/N2lteZlB82x1NKwNNaN4Exl79Ip1Gj+Nflx9G2935cTsbmP1DBQCvPvOUN5Vr0GmcNsgip/1OUj5W/LXWXsJ1t+ZJ+jsw4jcncO9l3zJ3Uxj7u0VEAfY7CWFl0feEUkpem0BZzY/A0G2enM7p7eHfC/7GXa+E8D+3hIufeZROPhvGPsEbB3zOf16cSGlpKfgGcuUz9zGmODXe+4ZhGPuu+JmyVjqpfv16SZs2Oz+BZxhGy+vX+2WWLN1EWvpI8vNSpsah2RV2yGDy5Ikcd9yu23cYxs+Vcr9V9fVDSiM1KOl6TYxdhZYSJbWXrHEUytVIVxIQiv5FmhGdw7RXG1GhENpx0a6LdmLoWAztOFsusVj8MRcVCmFVlzOiS4T9izRBS+LGm1RLx403rNZo6U3zEvHpaloplCa+ktruZXKPPHgAK9ZsxOezGTaw1063O27EINLTgnz+7Vx6di6iY4d2nDN6FCePOojv5y/nirNO+HkvdgIVFxc3aTtd15BaSmT5Os4YcxIlRUX1j/ft3Qtn9mdoFe8H1cjSb4MOHEJZ2UpWla3k408/ZMigoRx9VOl22wWDQXr06NlofPmj/8akyZN5/62Xeeb+usQQ1C6cwB2PTSdMPjfWJYYAsCgqKqq/dMj3kha5nTuRQwUrNnlbCQTBdj3onAMgqane9WkPXTODx297gY6/uJeHft/ExJCwsYBlG2LgL6Bvz0wAep94HhdfcgmXXHw+vxo9lrGH7qhhuEV6Xjw9tXYeqyIax23K+1oSczXoEIs/nQoZ3eiZn0HR4B7ea7TkHbSqYf57kykDyOhVHyeUe7ECJ43tDijm/eP/+F7CEUXeN6xCm6jtMJLzbn2c4RmAO5vJc6p3YxKnYRiG0Rws29da80KAN6UsJ3tNssMwDGMb3bp8zOo1m5IdRos6YkQavuASXn31hWSHYrRyKXn6XeOtWqWkRNmivh5HIJCuC9prRq20xlY2R3WPosIhZIUG2wLL9p4hhLf01A6OXrTyKoe8uWIaVRGhCEFJ90x+3Ohj3nIdT0jFk1JKxZtZS69JtdJIKeunwu3O8dGZJ43guMMHcfkdT/LFjPkcc9gBO9xu1ryfKK+s4S83XkDXYu8DvWVZnH7CcE4/YfjuvKQpQ6NxhYVyHO91m/sFZ4w+kVk/LgQ0g/fvjzvl3xDfxmkkOZSXl8eJJ5zM3HlzuPTiywk0yxqXERa8+raX3KCKM08/3bvbKuCYcQ8xYcKE+i1r5z3EOVe/w/V/u4VhGSHajGjLO5M2csY55xOsKGNDLWD347ghbQi/trP9aaq+m8hHlWB9eA8XfVL37vLz0r9f2mkRv79dbzra8K8rribw5COc8Zuz6PvZ/3HvhaP5X7/PS5gGhzN+4h07ejaFQw6i3bOr2FD+Ntee+jElpz/A0xftx65f0QX89cyTeCLoEo5CxzNvoU+GIG3IBfx6v294bskyjj/hF3iVsDZ9fnM2/naL6WjDRrmmPtazjvk1Q5+9m+kOgI+2FoBL2aQ/ceEzZWS0aYc3IzCHzh3SUi+rbRiGsY+J1tYinWRH0XxCIYfsrPWNb2gYRouyLEnnkg9ZvfYXFHfYd1Yo8fvSqaquSHYYRiuXMp+xNNtkAbSK9xDaUsmjXAmu11fIdVx8WjG8p0SWb0Q7UbTboDpIumjpoJwo2o1tf5Hxbeq2dx20E0WWb6RnYAMjenkrlCkpUVIhpdenSMYriaQrvT5FO9CURFF+bhaHHNCbD6bMROsdj/Pmx99wYN9u9Ymh1sC2feR27M7sNeXYgTTsaA324mkclGdxUJ6Ntegb/GkZ2IEg368pJ69zj0bHLCoq5pijj22mxBCgHcrX1fUqklRUVHiXzWspj+0ieyUyGXDZQ9x5znCq1paxoTaNwv7HcfkDdzUyLUpSs3az15y5unLL/io2bPtbshUrfwR/vPkXINLokGfj73w69z5xAzk2KMdF29mU9CnGljuuuwn2Op87rzyaHrkWyDDZuE2o0LFp2y5AOAqklfC/5/b0pscF9+OsvzzMFcf1QykIFg7gpKsfYfxpnevjPKAwWB+rlX8wZx8fn2KZPSr+h0nh2h3pkmsR3ryOYGE/jr3ibi7bP73RqAzDMIzmpbVGbzttv5UIhSAne/sFFAzDSA2F7efgOouSHUaLGjrUIhIzf5eM5iV2lphoSW19+Xp09lG4uEglcZEMPnwo61dvwO/3lqi3bQvL8pakz8u2GNmzFjtUiW3b+P2BeG8hCyG8ZdIR8Qtiu5ZD4B3U0OCiVbzbdPyrVgqZkcMHP1psrvSSQ47jNTz2GlZ7K6GtXLIMGy82C4GFRc7+hYx77a5Gv2+tNdff9yxdSgq58pyTtnrs/mdeZ8PmKu7947ne95QEP3w/k0MPPyLh40bCYaoqyonFojvdRgiB3x8gJy+f9IyMhMewt/ro9vP5vwW1292f1vt33H/70fGKmwRRG/lo3B93ur97zpzPeVct4qb/PMRRuXv+HnV++gdjL/0XMQ3kHsPd/7ieYTkpk7c2jH3SV198xoADBm13f3P9u2Dsfc4971ROP2M4Rx+15e912XIoK/OKuNMCEIlCwA+2gJoIHHx4EgPeDYuWbKRX92dITzerlRlGKlu4+EY6dsxOdhgtpiYEr766jssuHp/sUIy9yFdffMYxx504Q2u9bePX7aTQtLKtk1RaeSuNWUKAFl7ixgLhExxYXAub1qNtGyltbARWPDnkrUNvx+eheckhDfUJli3JsLrEEPHkkKpbFq0+OWSVr+fQzm15b7Yi6iqkdNGuN51MKYlsUk+WnRNCcOyIwTz76ofbJYe+mb2Iay4Yk7TEUHNKz8gwCZ89VLOujE07mma9rqbR/ky7TcsW2V+sspyYhoyuR/Hbm67mIJMYMgzDSHlt27ZFRmHNaigqhu+nQ/ZG6C69xwVbT7vXQNlKSM+ENm2SE3NThCOQHiwziSHD2Av4fDMoLz+c/PwU+kjbjLIy4cgjC5IdhtGKpexvklYa5bpIYaGlxrYF2rYZ2idKWvUGJIDSWLZCCsDyISwRTxDJ+sRQXdnQdp9jG/QbgrrkUPy2Ul4SSbrkuGsZ1bOAt2cppONNLfP6D3lTzuDn9WMcObQ/L7zxyXb3ty/I5eBdNKs29k2nPDmZU1pqZ3Zho/ubPPnn7yZz0HVMnnzdzx/IMAzDaDF+v5/2WlO9ENLTYL9yyJK7fs6S+bAW2FQEPQe0SJi7LeCHUCQ32WEYhtEE3btOZv7CDmRn98XnS/5smJbQuZOPad98wcHD9pJSTGOvkrLJIaW8ZtAKB2wblIVUmoxwGa6WCMuHkAp8FkprhC23VA9ZVoOMTfxKwwqcusQQbFM5pLdUD6n4fUrR3reBQZ3a8PWPEq0kUkqk9h6rG2JPE0RpQT9HHLw/SikvfqCiKsToo4bV306E9evX8/jjT+zwsTvuuD1h+zEMwzAMo/WzLB8C6BWCmd/BoF0vwgnAfvEG1hWr4YsNEAzAQSn2+cbnA0EW0WgWwWBNssMxDKMR7dtOZe3aTnTsmJnsUFpM+WbTLN9oHik7f0PJuubPCuk4SEfiZEFVTTVOLIbrxpBOFBWNIWMOMuagYnXL1se/xpytl7CvW8becbzH6rbd6uLGLw2eEwoxOL8C5bi4jhuPyUW6jZwia6LjDh/ErHk/1d9+f8p3jBqW2FNq7du355SxY8nMzGT/AfvTv38/MjMzOWXs2ITuxzAMwzCM1i8Wq6Vudv2AnbcQ3KE8Fw6JwOBKWLwYli2FFcsTH+OeyszMpKq6KNlhGIbRBAVtlhCKbES6yY6k5WzYPJvaWpO8NhIvhSqHxFbXlCuJhqO4tosQoNoF+eayNKZW9+Di1+fRDcjw+fDZFgF/AG3ZSMvCtmzs+PL10ZxcxBFHk9GrLzkdOwOgpCRWvZ6aafdhuZu87JjQ+C1NXS9rSyiEpbGF8oqQLI0lKkifXszGdQqtNFIptE5Mcqhjh7ZcO/4fjBq2P9XhWmb/uIwzTxqRkLEbGnTgAezfvx9//esDpKWl8Yc/XI3fv7OF0Q3DMAzDMHZs5MhS1lfMhcycPTqYrHtOjwVb7quYC3knJiK6nycvN51Nmw6kXdt9azUkw9hbDRrwNNNn/Z5+ffaNpO6QoXn884X7ufS3dyQ7FKOVSaHk0NY0IB0XLTWWJVh9ZAbrI5X4AxYfHVjML6Ytw1YKLBtLgW1b2JaFsmxURhbq+NG0GXEUwbQ0ABat85JPPQtt0vKK8B99P6GlH6GWT8TWYSxbe4khy0sQ2bYm4AfLUvURHTNW8+IjDkp7yaEddDIC9nCKmYZPpv0AQH7O1l33Ny59lrXz/gdL2OQXH0v56v+iVIziAffQpsvZu7Ubv99PbW0tF154wV6dGIqEwyi164bgliUIBILYvp2/zU8c0p6RfXZvafQbX0yh05uGYRiGkQSnjDmV++76mhkdFUOy8xIypkiRliHBIEi170xRMYzWoHPJx8Bvkh1Gi/DbEIuEkx2G0QqlUHJo6yMCq66RtNRIqVjSM0pMOiht802PTAb94MOujlDg8+PTGmHb1GV37Muuo2jggQBMXQIfzxOs3FyXshF0aqO5dbSPnJ7HUZPTBTV/PH5fGL9P4Pd5iSFRH4+KL7mhOWBIJRPcAN6jmkQuJKbR3HzpqUyduYBPp83Z6rG18+4iq2AIbbv+kg49L2H1gseoXPMxa+bdudvJIYDrr/8jmZl770GPdF3+++7brFu/tr4p+I4UFZUw6uhjyMvf+bIoI/ukc+PJpuu/YRiGYeyu0359MZ9+OoEhCRovF9i0BgqSfPLf5wOtCwiF25CZsTm5wRiG0STt282jvNJL7rZ2JSXQr38eM777kCGDj0l2OEYrkkLJoS00eImeuNABGZT7a5FSI6WLIyTvDyvhwnfnUSElaVqDbYGwcTMz6DrwQFZsgmemCFbEk0IN8zhLNghufwMuGqHpXNiHkPgTOWW3xfes4xtrhNBb7rMgIxDmgMMymTV115Na9/TEl+sqlNr+2QJFSd+rqNo4DSUjOOE1dOx/HfPWfrZH+9mbE0MAsViUwqIixvziVCzb3ul2X305hSmffczosae1YHSGYRiGsW+wbRsVbUIn6t3w4xwY2ib5H/Byc/LZsKkPmRlTkxuIYRhNtnp1Od265Sc7jBZx2GEZvPzK5/TqOYzs7Jxkh2O0EinZkFoAts+mLqWzsNRPrEGFiNKamR1s/nL6ADZoyeZImNpImEhakPYPPcMNE+GPEwXz10AoqglHNaEGl3BUM3+Nt80NEyGjXV+iVg7CdhA+ifBJLJ9C+EH4LUTA9i4+zejfJPYgqM79N17IwmWr2a9TES/+detlvbVyWfbdLeQVHgFY5HUYxZr5j0CCeh7tbZTSHDp8xC4TQwCHDh/Bpg0bWigqj64tY+oL4zm2tJTS0hM47aLreeCNBY0/cSem3Xw8pZe+ybp980dtGIZhpDClFFZaIKFjSh1fVDbJCgoEFRUHJzsMwzB2Q9/eDzJ3Xsse+yeTVKCU+ZBgJE5KJofA6xdTp7xox0cJq3IEX+5fjNSaiFKkjT6N9IwMlm3aer6X3sGlzrJNgk8XCMIFpyJsC2ELhGV5lUhW/LZtIeLXO/XwfgHFHi9ev2NditvxmzGjOHHUEAL+rQu6tHbpcuA4oqGVVK+bQiy8lp4jXkhYQ+zWzG4kgZRIOjSfCddexO3Pfccfbr6N2276PacPzaemssVCMAzDMIwW0717D9z1NcyPRRI25n4KFs5pfLuWkJmxd1daG8a+xrIkXTr/l3XrQ8kOpWVolRLJdKP1SKHk0JZkiwaE5fX1iRX4kHrHjYeV1nx0UAek1kityRwwaI/2/N5ssHIPQAkBdoOEkC3AFt6rVP9KKQraC4TY+ZmtxKaNPNHwcjYun0hWu0NYt+jvbPzp5WbYS+vTcsmhWhZOuJsXFrVl9PhnOPHIEYw46iTOuOxmbjuvNxBj9ZSnuen80ZSWlnLsL39HVfxtHV3yMrddejalpaWUHncal979H+bVNHjPL3mUs48vpbS0lArNdmONe3l2/VjOijc5Nb7tsb+6nc/Ld9202zAMwzB+jktufJB35y5J2HglEtpshCWJG3KPZWbt3oIVhmEkX/u283Gi86muaf3HwMGgQCSyCa6xz0vJnkMAwrKxLAvZzk+NE93pdjXKIao0/vRMMopK9mhfyzYJrPQOSDsb224k0yzDtCvOYtNGx2uLtIPinUQncC07g2UzbqKwx4XY/izSsnuw+OuLsf25Cd5T62PZLZT/DP/Iq++vwzfkFs4dvP2836ppD3H1nV/Q6fSruHd4e0IzX2b8Rxu5u7Qt7uY5fLvEYfz4uwgt/5x/PvUUt1hdef7God6TS87k7luOpK0NOUJtN9Zdf7iJ8QXPcXdpW2LrvmXQ727nhP0yiFZb9MpOofyvYRiG0SrFYrvuxbi7XLlV68mkyTaFQ4axV+rV83W+ndmRvr07YLXiQ+FGFm42jN2WQsmhLSkVAViWFc+ENp5qWViUy5DMItIzMpi7es+OJmzbxvF1JKAb7w+joEWztEX7j2PNvDvZ8NMLxMKrqVj7EULYFPUf12Ix7K0a60uUKLLyJ5aFoeiA7mTu4B+hj//5IeGD/sztvx1BrgX07cRd135H5dHH4HVryGXo0INh6AEULJ/GNV9+wtJoPDmU1pYu3btTaANy7XZjXdYvxv3vzKofq9/wQxnSoeWm0xmGYRj7NpngD18SUInNN+0R2we10WzSgtXJDsUwjN3Ut+fLLF9+XqtuUC2lQJt5ZUYCpVByaNtkiwZLUFsbBXb9Qffh0d05Z06Yg4D+xXoHYzVOSklQr2/Stq5Ti2X5E14htDNtupy91ZL1HVtov61BwJfYRpk7Y+d0oigI385ZQUR3xr/NW3DWSk1aF8n6lcupiN/39z8NI0vA1i3OAxT16wDvraNa7uCdHy3bbqze1/6dvwfydzCWYRiGYTS/e+79J1+9cBcHpGclZDw/oPwJGepn27ipJx2Lv0t2GIZh7KasrA3073s/FdV3E0iRvyeJ9usz2/DBB4/TuVMpgwcNS3Y4RiuQQoV2eqtrSmmEEGRUW1jurmvmpNa83SeLzeV71p2+a4FGxzbh0413Do7GoHKj7UVr5nimPLulppVl9GX04dk43zzLqwu2n5o4oASqFqzCV9yFLl28S+einO2SSNsKZASgtpJI3a9AsGiPxzIMwzCM5rLCTdwiGS7gOAkb7meJRAqTHYJhGD9D2aryZIfQrNq0CfL9998kOwyjlUih5NC2NALIrBHePK5GbPYpvgqt2KM9nTAQRM18LNH4jpSCqnIfQpgGYMmkmjDJVinVYtPKEFkMvvgaStuu4KWrLuOjL6YxbeqnvPuvR/nLP2Zx9LmjyFn1HDePe5b3vpzOzOlfMn1z4wfSxQd0hrJJPPfGF0yfPoUK0WG7sT549Y0mjWUYhmEYzSdx9dTdgaUp0JAaQKnt+wgahrH3SE+fSXkrXqBFYKaWGYmTsskhrTVCWGAJ8tY0/oZXWvO3+e8CXiVQU3Ut0IzqrUmveaNJ26/8yYvJJIeSx7IEC3+c12iCaMH8ubRt176FogKrzQj++NQjXDO2E/eOu5Vbb7+HJ9+eT0hEyRt+PY/cdibd177NQ3fcxA033cmqJqyi0L70Oq4clct3T4/jppvuZpNrbTfWE2/PbNJYhmEYhtFc0hJ8SHSMgm+mJHbMPVEdKkLKFOrCYBjGbune9SNWrd6Y7DCajT8oCAbNyopGYqTsv3bKVQgBFhb7T7GZ0kmjG1m6YmnNeoa98ye+Of0+lm2EJz7xViLbka4FmsuOhK5tNbWVy8hWqxqNyZXw/r+zsYWFFIrEr0tmNEV6RiZ9+u3f6HZ9+w9odJspP0YQbNqt/f/p1zt/zMrpw4mX382Jl2//WPGIi7h7xEXb3Z950F28N7l+BAqOf5TJx9fd7saYW/7OAoD9ZgAAIABJREFUmFsaPiOwy7F+2bRvwzAMwzASpjbBh0QSqAwndsw90b5tO1atGUqXjl8nOxTDMPbQwUMeZs68cyku6U1aMNnRJJYT1USjkWSHYbQSKZsc8iqHAK0pWeojWB2lNrfxKUIVsTALq9bQq20R950Ony6A92ZvnSTqWqC573TvKOaH5QvpUftMk16JinJY8kMGoE3VUCvxzoymNSE3DMMwDGPnEn1A6QM6B6CqAnLyEjz4bsjKEmzcWJK8AAzDSIiOJR+zYVMHSopzkx1KQlk2+HyttOO20eJSNjmE1liWhdYajabTj4JFBzftqed88TB/6Hsyv+52OKN6a0b1hrmrvce81czAdRzemPs5tRve59Ae65rU12jm12loAQiwhIWpHDIMwzAMwwAVjkJ24sYTQO8wfDsDDjo6cePuroAfakItN0XdMIzmkZe7ipWr1wCtKznkswW2r4V6rBqtXsr2HFJKo/CabAmg39c+7GjTmu6WR0PcPusVjpt8F++smsHaSDn9izX9izWu47By81pOmngr902dwK86hxCqaaV4X7ydi1cvJBDCpIYMwzAMwzAAllUoJtc0vurr7vIneb0Fy9ZoHUTKQHIDMQzjZ+tc8lGyQ0i4aEwRi0aTHYbRSqRQ5dDW07S0lNi2hVAghCArpDn5KcGbVzX9KGFpzTqu+fafW98ZlYiIQ18kc05Ix6c2NGmsmpCmqsLGtgVKa7BSOLNmGIZhGIbRgq6/+T7uuukCeg4ZQFeRuCOkAx2Y9jkcPDJhQ+623Lw8Nm7qTmH7H5MXhGEYP1tuzmqqa8BOoU/AP1dJiY+Z3zXeO9cwmiJl8xtag0Z7K4MhEJYgO2wj5M+o19EaXAVKc/v+Wfh0eZOe5jjw/n9yEA1iEUK0fOWQEA0uVvzS4D7DMAzDMIwkuXX8s7wxbwFVCR53/xr4YVqCB90N2Zl+qqp7JC8AwzASJua0rs9M7dpB55IkNmYzWpUUypvq7W7VNX1WQgMCG0HRIsXq3va2hUZN24NUWK5EK8nh7UIgG280pBTMnuHn6//mg1Aoy4tT7aIpdbP8yRHxxJQApTVVlZVkZ2dh2z4viabx+iHpfWOymxOLoRtZyh4h8Pn9WNbOc6Azf3iD3Jz83dp39y5H7Nb2hmEYhrGv2FgJi4RiiE7c+cdMDSWbYMrHMOKohA3b9P1nwKqyLi2/Y8MwEi4c1qS3opXfbRt8gbRkh2G0EimUHNpCgPfBXwiEru/ygwJGvpfJx2k1rO+6m6GruqohBTGFJWua9LQf59m8/n+FCEtgaa9aSAOWJdB6x8mJhKZnxJbv/7XXX2P+vPmkpaeRnp7BkCGD6d+/P7k5OV5cSnl9tXXCo0gpUkqW33UetSsX7vRnAJDepQ8dLrmHQEER5WtWUdh1+7N+uTn5dCgsbs5wDcMwDGOf4ff7sZvhGKSNhuG18PnHMLKFE0SWDRkZPsKRXDLSE99XyTCMlhN1HKD1rO4lBBxyGEz5bDIjjihNdjjGXi4lk0N1hxTCsrxVy+Jz14WGoCs45KMMJv8yRCS/6b/YWiqEq9BScc1+WUC40eesXQfvTGhPLObzKnaEQGChtYxPMWvmzvANqoXemjSJLl26ctoZZ3H5dTeycsl3zK4OEnzzv1SsXkq3rl0579xz6datG1rUlxE1b3xJ4kSj+FWULqPP8d4jO7F27gxWP3cP30QyKV+3miufmtiCUe6au34q39oHc2iBWV3AMAzDaD0s21d/Yi/hY2sYUtssQze+b5FBNJpjkkOGsZfT0qU1JYfAqx5aNPdjMrJyGTJkWLLDMfZiKZkcgngyxxJYeGvHa3T8miC/wsev/pGL6xN8dlwVq/o08gFba3BcdNThoT5ZnFmyaZd5E8eB2dMDvPJECaARloXWCiG8RI2Fhcab3gXNN43MEoJ7xo9n4MADKD58IBf939NkLPwX1ZlL2eS2x33lJcjpALaNNeczyqWfxd9N5YXnnyc/Pz9eQNT6EkSudCnuMxC5aEa8istCxr/PulSRSMvg83LBgvnfc9zF13LYKWc2b1C6go/+cDr3ztv6bvugu3j1noPJ3GZzZ/UnLMk/yCSHDMMwjFYlWhvBbabzU0sA1QN6Jn7oRmVlZVFesR/5eSuTsHfDMBJF61qgFc0rw/u4l5UR5JtvvzbJIeNnSd3kkNeLur4CxhIWWmsvSRSvJPJLOObdXF7oUoGb5tt5lkZqtCsZELA4o7MDrrPDzZSCDRsFUz7IZfrkAizLq8DRKLQAS1h4E7fqYmq+nkMCweTJH5KVlU2HER0ZN/0Gqt6cjizII6vHMWQdfCTLVz+Me8iZnDRyGkU5m/hu0htEIhmcf8EFvPH6awhhef2IWhul0NEoOpiG3X0Q7sJv0a63hKPSINIz0X0OYcF/H6drXjoDRx3fcrF1OIVbrhtJm3iWypfbvZX982MYhmEYO3fEEceyvmIuZOYkfOz2wMKmrSWScMGgpqqqfXJ2bhhGwkSiTV/5em8R8ENQa4KB1lURZbS8FEoObbOUvQbiyQ3vEa8BtEBs1VNHCItfvJDLnANDLNrf3T5JpDRaeVPKxg3ORsh1O9x7dY3mmymZTPugHdXlfoQATbzvERYW8dvxPYsGC73p7aL/mYTAcWLcfMst/PUfD3L7m3ew5KV5dOy3PwNO/ytRJ5OamCQ69krcT26nzxlF1EibXmOLGXrOL5n66Fc8N2ECF5x/fmssHPIqtiyB23MYU76bzYjBh6JmTAZAZGRB38N47Z0P6Na9Oz1EdX2FV4vI7ETfAQMp3KYgqHreqzz26Mt8uqgC6W9Prx6SQ6+re9Rl47cv85ubn0MhSCvoRP9j/sCtFw0gS25i+suP8NSrX7KsBs688yXOPbRdKyuGNQzDMFqLU8acyn13fc2Mjooh2YldQScb6JCs5FBAEIns3gIWhmGknmi08QWJ9ja2Dza2ws98RstLmaXst02uaO21frYs4fWVEfGNhAYbsAVYFlpAZsji4C+z+cWLOfSdAVYs/kuv442tpeKE/ADD24RgmwbGkVpYu07wyG1d+HBiMdUV/i37siywBHVT573qIRGvGBJo0Xx/XF5/401KSkq4+a5bWPX6Akb+vjsiXEhxTjtKctNonxXgnONepLhThOU/VONogUTw6JNPcNVtf+Cpp55GytaXGYf4zzSQxsy5C/jy62m89sEn4PNBMA36Dee19z5g4eLFnDp2LLFIuPFVzRIbHFLK+EXV123ddu2TTLFGcOlt93D3TWcwIC1W9wRqZj3O1Tc/xx//5z7uveuPHB9cwYxZq4lpmP/Mddz04hoGXHgXDz4wjpdvv43XV+648s0wDMMwUsFpv76Yhc10DNI+SYc2tg8C5qy8Yez1gsFqYq3wUDpgCWKt8RszWlQKVQ554i2YkVJi2T5vChGAsBDWNkkk5SVsRHyaV1bY5pCp2RwydevJ7jUZkl4dXB592wWyqK7wU10e2HrCldbbpcrqZo0J4hVM2pva5uWNBFr4EKKuL1KDoRLwKrz00kv0PKg3q1dM5qAzzibPV8qAQXN468ZfYQXS6Dj4CPLGVjH40v1455b5DLkui6jfR6gmykVXXcKZZ57Jo48+xpVX/v5nR5NqXNdBla9nUP8D+HHRIhYuXsIbujvgsOjzpxHAaWPH4JvxLlXV1bg7mUbYLGrXsXTxIqoswEqnQ7cu5PkqmdPlCl54eGx9RdGA7B94FSA8iwf/PAn1y8cpPaQnUENkIrzhzZLjzv+UATDpb7cyKb6LV/69kDHX9scsWmkYhmGkIp/Pj6iNNb7hHmieVtdNk5NTmMS9G4aRCPm586mq2o+2BcmOJMF8fsQuVnE2jKZIqeSQALAEQgki4Qg+nw9VP61MeD2H6vv8NEzm6Ab/X9e+eovMiE3ZUhsIbtlKNJLCEXVjxCe1abAtq76iSQG2ZXsh1E13S9AhiwAKCgroeUp/XrvkCyqOOwdLVjDvs/ewA0EueXgia6rDbORzYlJQeEgBy74pp82IQtqc3p1Nb63lkOGH8uarrycknlSjlEZWb4a5X3LGmJN45c13WLTkp/rHRw4/jO75maiNLi4CpVqwzjK9iB69+2w9rUwDWrHjP9cSV4Ht3/F7R+Nj0DUPcUX/ulSQwJdTSDChQRuGYRhG4kjp4vpa34ILPn/KFNwbhrGHMtI3UlkdAwLJDiWhSjpksjS8gbfenMiYU36V7HCMvVRK/Svn9fbxKnHKN5XjD/i9psoCtNBe5ZAQ8YtF/fwv4V3qHmt4vakXrLoL8cSRhRBW/eOWJVBCe5VKwsLv8+P3++LRioSfyaqtraU81g0lNrPsvxP4+C+/59Rxz5CWX8iSn36iulazoaov5bW5ZA8uYO135YSlIGpZhGsL8AWzExxR6tBKoaVElq+DuV9wxpiT6h/r27sXhw7shzP7M2+buqmFySQyYMUUZm7aQS18oJA+hbBu5pwdPrWz7bJscYx2nbvQpUsXunTpTEl+MKlnTg3DMAxjV7TWW8qvE8wHlC1vlqEblWbOzBjGXi89bRPhUHWyw0i4gw6GDu3bMfXzSY1vbBg7kTKVQw1rb4Rl4UQdylasomOXTlhWInNYO64i0dtdEw2aYW+pTdIalFKEQ2E2rt/gJZASWjfk7WvdunWwsR3RUBqb5nzBoD88zerKWooPOZGp7/6b7if9jlnvtKd67SayAiupml/NildXoEZ2xieKiYWrade+XYIiSi0ajXIcryCncj3W3C84auQIQDN4//7EZn6MjtWihIWjQbVkiWXNCubM/I6yuresncN++/fgsOAcHrx+PBXnltK3wKZy1mo4EvAVU/rrobz4v08ydVY37HXTeWsx0Ml7+jmjC7n2jdv4s/8Cxg7txKYVNRwyZgQdTNsDwzAMI0UVFnYgtLkSCprnOGTdQsjOh5zEL4i2S4HWVWhgGPukzMzNRJ0YSoLVigocbT906wWLV5hVFY09lzLJIY/XvceKrxLmxlwWL1pUP5UrEZODdj7G9o/oba4LNGgvkWXHk0K28LGlg3Wipi9pwuEwzuwPkP1PxZn3BrG8f7JZFxLo2Zklz77NT998jNNjJKpoCG07FNIx6zNEbjqhl1bTNhDj6x++JK9T61xVw7Z9zF5TzsCiPK85eLSGg4q8PgB60TcIN4KdlsHM1eXkde6Bz9eCmZR1b3HvTW81uGMAt732ADc//meef2ICr/7vrVQpwJ/LbSdbgE3bo2/h/prHuPL6P+Jr14Ou8WboAhhwycOMz3+cZ958gjtfcyk84Gz6n2SSQ4ZhGEbqysrK5pobH6X81YeaZRp0EKitbfnkkGVBLJZBIBBu2R0bhpFQuVkrCEWKyM5KdiSJ1bU7jB3bkWefu40Lzrsz2eEYe6EmJYeEEMuAakACrtZ6qBCiDfAK0BVYBvxKa10uhBDAw8CJQBg4X2v9XVP24y0X7y0dL4TAEha2stDx/j+JSb3srHKobkH6Xe2lrgtRfOoaxCfCbfkOEpPCgnvHj+cfzz7L7357Ny9OX8b3d08kWBCk27ndGXB/R2b+eRnRQaeSY29mWO4c6HAAAI/f/ziXP3E5S1gCFXA+5yYknlTStrADPe94gcpYdJfb9QoEycnLJz0jY6fbVFWVx1efa7qunXtuf6fI4+iHJ3P0zp6UPZLf3jWS3+7gocjSL5gbPJS/PTCKZV/+i8dezWLUbw4mzwKsAoae9WeGnrVbIRqGYRhG0q21oEszFO8mc8Xmyqpi2rVdnMQIDMP4uYqLp/DTsh5kZ7W2rtTQrr1ovLeuYezE7lQOHam13tjg9o3AR1rre4UQN8Zv/wk4AegZvxwMPBH/2qgtnXtEPFEkUZbX1UdrvYvEy9aTv7bct/1tXb+22Y5H2HZymN5ujLr22N6S9kKL+kcS9muoNSOPGMnfHnmE4Szn7eDFrN70LR1u6UnIgrD04R50EfE5bona616lsLgkIeMcOGBsQsbZc5KaFT8w+bnPeHKzQ2bJQI699n4uOijH9BUyDMMw9mrN9fEkmTNBHGfnJ5wMw9g7ZGaU48RqW93Usjr+FJsbZOw9fs5b5xRgVPz6c8CneMmhU4AJ2psL9rUQIk8IUaS1XtOUQUX9WmP1NUReTc9Osy8NHxDb3L+jBNH2W+3s4GVLKmnb/cUbYzeIue4ZCaPhgQf+yjnnnMut197ATWNvZv3Hj5A2qhgZ6oLsNBxeuxVyBZzelXOPOpfMtEwCvgCXnXgZaJi9bHbi4jGaiU27I6/nySOvT3YghmEYhpFQzZUcimrv/FgySJXW+EaGYaS83NyFVNWUkJeb7EgSL+am1JpTxl6kqe8cDXwghJghhLg4fl9hg4TPWqAwfr0EWNnguavi921FCHGxEGK6EGJ6rdoyPaiuCfSW+hyvisir1LF2cNnV/Tt6LL76WPxSf32b/7a/J35f/fZ1SaK6he0Te5Si0XTp3Jm7/ud/ePKRB3n6rGGEZwsqPl9L9SYH3r4bIlVwhPfjCNWGqInUoLWmJlxDTaSGqLPraVeGYRiGYRh7G03ykkOuNEuWGUZr0K7tPCoqK5MdRrM4+sjWu2q10byaWjl0uNa6TAjRHpgshPix4YNaay3E7k1u1Fo/DTwN0NaXryG+ChU6/lWRlp3OwBEH4k8P4gvY+NICpGen4wv68Pv82EE/voCPYGYQO+DD9tveEvMZQWyfhR2wEbaNz2fjD3gdfKVSKFfiRGO4MYlyvUttqBbpSmTMxY1JpONQWx3BcRzcmIsTdYlUhXCjLrFIlPINm1kxfxnR6tr6iWo7ql/aY9pLOR0+4nA+/HAyVVVV9IvZrH97PQcfXM5P7dK45E+38eZ//g6F7Xj1q1cBOLTvoTz/6fP1w5w38pxERGMYhmEYhrFb/Lqun2NiBYTXHDoZQqHOydmxYRgJlZO9Gl22ikgkl/T0ZEeTWO3a+ZjwwpOce/alyQ7F2Ms0KTmktS6Lf10vhHgdGAasq5suJoQoAtbHNy+jfiFuADrG72uUik8nUyiCmWn0GdaPUCgEkTCWZWH7fPiCPmyfjW3bYAss2yYY9GP5LCzbxvLZ+AM+LNvb3rIFls/GF/C+VSUVSircqIPrSrSUKKWI1TooqdCuxHElUipU1EUqiXQV0pU40ShaKpRSpGdm0Pfg/nz34fQGjbQTfBCk69ZI0+Rk5/DRhx/y/ezZzJ07l16rVrFoxlRGHD6CH9mSq7t74t2J279hGIZhGMYe+mDNOs7r0CHhPYJiSWy5GI22RcoAth1LTgCGYSRMMLCRaIxWlxwCcB0n2SEYe6FGk0NCiEzA0lpXx68fC9wJvAWcB9wb//pm/ClvAb8XQryM14i6sqn9hohXDWk0HXt2JBaNogFLWCC8ptRKgVAKSwhs2/bWB5MaJUAIjVYaKZW3mpiUaGy0duvLj5VSaKWQsu6rRivQKj6O9NI7ltZI7SWClKqrCbLQWqKkxnEj+H3+eK2ToG7tssTT3v8E2LbN4EGDGDJ4UP2jUksqaioBjdK6Qfej1t2l3onF0I0dGQqBz+/H2sXpxRNPzGTkyN3b9403hnbvCYZhGIaxD8rP78Pk0AqOz0zsmvP+JFYOZWVmUFVdSH7eysY3NgwjpeVkraA64pCX6092KAnn87W+78lofk2pHCoEXvdWqMcHvKS1fl8I8S0wUQhxEbAc+FV8+3fxlrFfjLeU/QVNCaRuLTKFRilFZk424doIfr/PS95oL/EjtEIrG21plFRbOkorjZLeCJZtoaVCatBKsVFtplxV4xc2aSKN9nY+trRRyhtTSS8x5LUO8sZVSsf3CUIrlJSgVfy2d4nGYt42YktKpq5+KOEarNbWcJ69QJCfmdcce0xZUkqW33UetSsXovXOE0TpXfrQ4ZJ7CBQUUb5mFYVde2y3zciRcOONzRmtYRiGYeybQjU15AYTX+KTzMWFMjKyqKzqbJJDhtEKZGauZ93GaqBNskNJONvXCpdhM5pdo8khrfVPwAE7uH8TcPQO7tfAFXsSjDehzKvFsWwL7UqUbWNZGu0qtB+U1NjCS+AIIdASpE9ie5kgpLaxLIGWiqgVY7m7mrYlHRgx8EhisShlZWXMW7CAPr790FLFk0Ne3yGtFFIp734Zr0CKJ4+UAuUqtNZIpZAKtJT1lUPQcNUyozk50Sh+FaXL6HMQuzh1uHbuDFY/dw/fRDIpX7eaK5+a2IJRNo+yD/7G3+f05dKrSik0y1QahmEYKcyVLhGd+GOjZK5WlpUNZav2A75MTgCGYSRMZuZmotHWuYBPrJV+X0bzSqmPlxqv0kfjTedypUI4DigbbVtoZSG0hVYK27LRrkbYEq1AWmDZNsKW1MRqWOAsZdhhhzKi5GjWb9jM0CEHsm7DJhR+Onbszjtvv0qRW0CByEUDMuaiVHwsKVFSxu9TSDeeLHJdtKvij3uJJKW9pJRl2fGV1kyCqLm50qW4z0DkohnetEPLQsaPEutSRSItg8/LBQvmf89xF1/LYaec2bxB6SqmjruA27+sAsDOLqL3oFGccvYZjOqWuYsJhyGm3Xwqt26+jMlPntLobjbP+oQv5uVxXuueNWgYhmG0Aj6fTYDEVw4FhbdabDIEA5CWXkx5eWfy81ckJwjDMBKmY/FHwNnJDiPhThrt8tiTf+KKS+9LdijGXiRJM7Z3rW6JUhVvFl3XRLouQaNcr2eQ60qUo1GOi3QkbsxFxly+r/6RgYMHUVRcTNnqtZx0glfg1L5tGw4eOpCs7EzGnHIqS90y1oY3eM+Lj1H3VTka6SqU4zWpVtL1EkLxmKTyru/oM7pJDzUzpdDRKDqYht33UKSw0NJFSxflumh/ENXnEBbMn0fXvHQGjjq+JYIiUl4FhWO45S8PcMvvjqVw6SuMv/QGJi43DeEMwzCMfY839T7xh5oRDb4knt607Swi0dzkBWAYRsJkZ61LdgjNQikQlvlUauyelEkONWygLAC08qZzuRLXdeuXnMfVXnLIkSjX6wXkOl5SSMYcKiM1DBh8AN27d2fBgkWMOfk4fD4fWmscxyHmOHTtUgzC5vRfncVidyVrw+twYw4ytiXBJF2JdL0KIi29/dTfF1+9TEtTvpEMSmuwBG7PYXz6/XxE30PRjoN2HAgEoe9hvPbOB3Tr3p2eBVne9i0lqzN9BwxgxAlnc+P/Xk0ftZC33l8G7iamv3AHv/tFKaWlpYw5/ya2ShkteZTS0lJKr/6ICg1E5vL4ZadTWlrKKRfcyoQZ5c1w7tUwDMMwmo/juDjN8NkkpwTaJLFFSCAgiEQKkxeAYRgJk5m5GddtfZ/ptAYnJpMdhrGXSZnkUEN1lUNeMibeE0h6SSLpuijHSxRJx5v6JR2J60iqoyFm1Mymb58+TPtmGmeecSqBQACAWMwhFnNxHZdYNEZtbQxh+Tnr7POYX7sUJxZPMjnSqw5y4gkpx6tQknX7lCqeIPISRUbL00pBII2Zcxfw5dfTeO2DT7xTiME06Dec1977gIWLF3Pq2LHEIuHGVzVrJiKQSZoFbtRh/jPXcdOLaxhw4V08+MA4zu2xnNdXNkgPlZzJU089xdM3HkKOAPwdOOzMq3jw3hsZnTeL58f9jW9rWt8/XIZhGEbr5bN9+BN8gkYCPfondMjdlpYG0Wj75AZhGEbCVFQkO4LEE4DtM5VDxu5JqZ5DDSlXEgtH0QGFbdtIW2JbNsrR2LaFsATC8vrNxCzJtNrZDDzoAC446iL69evL8OGHAeC6klgsSjgcIeY4uI7ElZL27fKQUrPwpw387tKruH/8nfS1utPOyvOaUisvCYTSSKWRSuK6DtrV9VPL3J0kh8xH+Oblug6qfD2D+h/Aj4sWsXDxEt7Q3QGHRZ8/jQBOGzsG34x3qaquxnVbcFrXkkc5+/hHvev5/Tj52qe589huXHhsGQCT/nYrk+Kb5mQsZMy1Xb0baW3p3r17/TCqdgPLpr/OE+/PxZ9hQ2QOX62Ibt8B3jAMwzBSlNIKJ8ENqVPhGCs9DWqj7XGcNPz+2mSHYxjGz1RZtZDsnN4EA8mOJLFUK6yIMppXyiaHtNIo1433k9HYtkDbYGvQysKyAGEhLM2U6Lf0G7w/I0aMYOLEiYwcORIA13WJRqPEYjHCkQiu4+K4Lq6URKMSpTRFhW1Ztmw15//uUp585GEGWj1oY+V5vY6UW7/UvVTeVDbpeomjumomMD2GWppSGlm9GeZ+yRljTuKVN99h0ZKf6h8fOfwwuudnoja6uAiUasE/jMWncsefjqRbUScK8zPql9vV+Bh0zUNc0T+tflNfTgeCuNuPoav4+q838Nj0Xjz25GPElvybcX/5rmXiNwzDMIwEUUolvEY9AmQndsg9kpUB0ViWSQ4ZRivQts1Mysu706HQn+xQEkaTGsl0Y++SktPKwDug0FKhHAflehU/juPGewJJ3Jg31SsUDdO5V1eOOOIIXnzxRW666SYAHMehtraWSCRCOByhNhIhHAkTCUcIh8KEwiFCoRCRcJh27XLJzsnjvIsuZlpoNuujG5CuixvfjxtzvP3FJNqNN6+WEq3MtLJk0EqhpUSWr4O5X3DGmJPqH+vbuxeHDuyHM/szbxtNy04rSy+iR+/eFDdIDAF0tl2WLY7RrnMXunTxLiX5QQQWgYwA1FZu2dhZz7xFETIOPZte+/Wgd+9OZDbch1bmj71hGIaR8g4ffgRV1eGEjVeWDt+myJl9RRDXTWt8Q8MwUl5BwU9UVrauuWWWJUhPS9k6ECNFpVByaOv6G13f20dtWUEsJpGOgxOL4TouNbUhPq2YxqhRo3jhhRe49dZbKSkpIRaL1SeGvORQiFAoTCgUpiYUIhwOeQmimhA1oTA1NWHm/biU/DZtOefCS/iychYbwpuQMQcn6tQ3qVaOi+s4XpNsx6mfVmY+qLcsjUY5DhpQleth7hccNXIER408nJOOPpJ8NRDUAAAgAElEQVTYrM/QsVqU4+Bor6w92c4ZXUj5pNv485NvMeXbmcz46iPWOgABig/oDGWTmD59Cv/94AcqrHb07uwn/PVL/LhoEYuWrKHu0DqjbRas+YqPvl1BKPnflmEYhmHs1IEHDqHf4BN4a/26n72owkw/+HrDUaUJCe1nE/hQynzwMozWIOAPkZG+mmg02ZEkjtYatyVnTxitQgolh7amlcKNN5D2mkF7FTteBY9LOBLik8qvKOjclhdffJHbbrutvmdLbW0toVCIOXPmEA6HCYfD1NRUEaqpoSZUQ3VNiOrqampqqgnVVFNdU01WRjpz5i+jbfsOnHneBXxW/Q1O1FsBzWt67SClF4vz/+zdeXxcZfn//9d9zqzZ1yZtmu57S0sLZSlb2ZdqK6CyiKDIoiiIKAhugD8Koijgl0XAj4giCrLJhx1k58NaSktLl3RPk7Rp2uyZzMw55/79cWamSZuuJD2T6fX0kWaWMzNXZNLOvOe6rztuYccdrB1MgO+rZWarV1YRCmelTm972f7CNH0srGvEDITwB7Mwo21MLzCYXmBiVH2IaUXwh7JYUNdIwZBR+Hzet4gecOmd3PLtaXS8cS+//tk1XPurO2m1AUwGnPhjLp+Zz3XXzeXBlxey2clnxo+v59wDNnH5ZZfxw1vfxKkYRUW2ybAvX8yskZt4/K7/sC7m9U8lhBBC7Nzhh8+kJhKh/Qvcx6oQDJ0CZRW9VtYXZpomtuP96wshRO8wzSYiGbRKVHYrE3sjjT7y6J5s2o4mFoliGRaGoTAME8M0sAyH19vfJ2dwPifPOpXnnnuOjz/+GCDVLVRbW8t3vvMdRo8ezcUXX0wkEqG5uZnOzijxuEUsbrk7l9kOtq2JxR3qG5opKirio0+awVH86Npf8+uf/oijQgdRoLKxHRJb21s42p1BtKOeIclo+1ZJWTmjb3iY5tjO4/0xgSB5BYWEs3Ycnr39Nqg9TPN++tMeLlQFHH/nKzseGO0r5uBzf8nB5/Zw09BwZv/8z8z+eZcLiw/l23MP5dvbHX00V957NFfuWclCCCGEZzqb2/f6g7P5fpiahrsxmP4g8VjY6zKEEL2kuGgJmxunUpCf53UpvSI/Dy6+qIJH//0rRo48jYOnHeZ1SaIfSKNwaCsFGIl37NrW2LaDVhrHMHg58g6+ASGmT5/OE088wYQJEwC6LCHr4MEHH2TDhg34/X7a2tqIRCJs2bKFd959l7Vr1zOwfCAjRo7C7w9iOQ5tbRHa2uNEY3FCoSz8viCfL13HiV/5Ks/862GODx9CLrnYVjyxREltLVR4omxQ73x8+NxzX+SzTCGEEELsys9vfID/d9dP+c7Agd0uXwcMSZxuAjYBfgVxDSgwAlA+dt/WurtMBXGZOSRExsjNqaemrgPIjHAoSSk/kXZ5vyN2TxqFQ92TFmVsM4NIa2J2jEg4zpFTDuWFF16goaGB4cOH8+KLL7Jlyxa2bNlCS0sLjz76KPF4nLVr19La2kokEuGee+5hy5ZGfD4fdXV1VK1cTW5ePnn5BfjNAL5gFkHLxopbBENZBGyb0WMmMfO02bz45GMcn3UEeYY7Ftid/q73eTY0fORoOiMdqdPbXiaEEEIIkW4Wf/4ZPr87yUADUaDJB3YFdK4FW8HKAigoA+UDw3K7egN+GFjpaek7pJTG0UGvyxBC9BLTjNMRSduJK3tNqfSYvyr6hzQKh7bSgDK6/3LGtcV/29/jgCMP4J133mHz5s0AvPbaa7zxxhsopbb7isViVFVV8dZbb1FTU4NSCsMwMM0YSplYlkV7ewfBYBb5BcXEYxZxK45tO1iWzfqaBsZPnEqkI8J/X3yW03PSZAqiEEIIIUQ/8ciDv+eCQyYB8EkQWoGyUhg/Cd7aCHm5cNAh3ta4pwoLFUuXTWFY5dtelyKE6AVKOYCD1ns+ciKdhUIKnynz0cTuSaNwaOukHgWYvuQnTJr3OuazRtdSOaSSN954Y7tbOjvZqvyWW27Z7jKlFNFYlEAgTCiURSicheM4hMJZhDqziIYihMJZKMMgblkMGzmFEd+fxN/uupXTco7Er+STIiGEEEKI3TH3d3/lgT/fyawvaQ4q6H7d0Wk4T2h3GAZMGD+QqlVXM3rE77wuRwjRC3KzNxOPlxMIeF1J74l0gmXHvS5D9BNp1Du3NaJ1O4cUGlgRX0tVbC3Z2dls3LixVx5Ja41lxYnHo0SjHUQ7I0Q7E9+jHXR2RujsjBDr7CAW7cSybSwM8ivK+TCyCEc7GEqh9baVCyGEEEKIbfn9JgUFuz6uvxk4IAN/KCH2U8qIEMuwHOWgg8IsWvyG12WIfiKNOoe6U4aJYRh83rkC0zTp7Oyks7P39hd0bBuLmBvsKINoNOL2ECoFGCil6ExcpgxFIBBiyrSjePXFf1Fjb6TSHOgOzZYdAj0Rj8XQO+kYA0ApfH4/hrHjDPS07GyO3sPHvlaGugkhhBB7xOcPAJbXZfQ6wwfVtYdSOegDr0sRQnxB4fBGOjshJ9vrSnrPwHKTyZOLeOZ//8rsL3/L63JEmkujcKj7BvCG4c4N6tQxbMfGtm1M00QphW3baP3FNozXWmPbiRcpStHZGUlkQwrlXkS0M4JSblAEEAiGCAbCNMQbqVDlmBhu29A2pUgnUd+ybZu1N11AZ/Vy9E4GrIWHjqP80psJFA+ksW49ZcNGbXfM0cC1fVirEEIIIaAz0nsf8KWbTQ2HU1ayiEBAPjwSoj8LBxtobo0BGbSuDCgsMvnoo8+9LkP0A2kUDnWnlQIFY0PDWNRRhY2DbbttOoZhYBgGWuudzhva5WMkAiIVV8SikcSwah+WYRI3TaLRKMpwwyHtaNpamojFo/gMExSobVOhFImH+lI8GsXvRBn65W9uN7i8qw2L51H70M18GMmmcWMtl9/32D6sUgghhBBJX/RDvXRWMaiE1WtPZOzop70uRQjxBYRCrTRsiZBp4ZDW2+8ELkRP0jccsh2UYXBg9kTGhUfSYUXo0FFWxtbREGukzf5in84opTBNk1AoRHZ2DgPKysjJySUcziIQDBMIBtGOSVt7C42bN9DS3ETr8mqOCk+lxFeI0aWjCNw4qPvUJNFXLNti0LjJ2FXz0LhhoZ140ZmMilQoi7caFcuWLODkS65ixpyz+7gqh/aqF/jznx7ltYV1RHMrGHfYGVz5w9kM2+v55Q4nnngNNz59GzMyqL1VCCHE/icYDOBuYp95cnMUweB0Fi4uZPLEB70uRwixl/Jy67CsZiDf61J6lc+nCPrT9m2/SCNp9CzZNs3UKMBnmGQb2YSMEPnaJtsM0xmK0my1UBOrp97aTFxb3bqJdmfZmRsKZZOXl0dubi4lJaXk5eVTWFhIdnY29Zu28Mn8BbS3tdHS1EhO3OSg7EnkmjkElc+trkvJOvElmew+4DjoaBQdDGGOmIq1/CO05b7gdDSocDZ63GEse+kehhWEmTzzlL4vqeldbr3qDt7LP4Jv/PBCBkVXsri+kJw0+g0TQgghvBKNxrwuoU8F/BAMlNHYNITCgnVelyOE2EsB/2ZgiNdl9CrL0kTjmTfzTfS+NHrr2j3M0Vq7nTlKYQA+wwf4CZg+LO1Q6MunLFBKk9PKJ9bnhMNhcnNzCYfD5OTkEI/HiUajLF++HMfZuiQtye/3Ew6HCQaDhEIhhg4dgu04VFUtY+XKVbR3RDEjFqVmMaP9o8kOhinyFWAqM1kgSpIgTzhag6GwRh/C258s5Khph+PMewUAlZUD42fw5HMvM3zECEapVvf4Pharfp9FnSGOvOEavnVQFjCTkxLX6fbPOOfsH7O5UwNZVBx4Amd/90JOGem2AzntVTx//93c+fxySieewDmXXcKsMTmJLqgFXP+VE907Cszgxb/P4m+33cNTH9UQwSCnciZP/eW6Pv/5hBBCiC/C7zfJxIHUXZWU5lJbdySFBY94XYoQYi/l5q4ApnpdRq+qHAw52Wn0tl+krTR6lnRPWrSjU8u2jGSXjgbTMPFh4jdM1rSvZ3F8JSPGjCA/P5/y8nKKi4spKSlJdAXlsnTpUqZMmczPfvYLNm/ejNY61V3U0dGB1hqfz8dTTz1Fa2srWmtM7WNQoISxWePJMkIEjSABM4hfGaDBQUuLkIe040AgxPzFy3j3/Q/Y1NDAnDIfmD6YcARPvvAyy1es5CdXXcVH/7pv17ua9QJf8UjKeZmFz77B6vGnMDxr6ywkHasjeMpP+PUhhejmlbz1zwf5/Q9WccoLt4NVwzO/vIK7V4zn5ht/wCeP38cfr1hL7IHbOLPSBEbx3TuuZmoYMHP54I5v88iKQ/nuTddwQH6M+vVtff6zCSGEEF9Upu5W1lU4BMoY7HUZQogvIC+3zusSel0gAOeeW0osFiMQyKx5SqJ3pVE41L27w7Edd/cwrRIdRKANqO6o48UtbwHu3KBAIIDjOMTjcerr69myZQtLlixJdQ4BrFixgh/96Ery8/MpKMjn3Xf/j7vvvof2xJbk69evZ1ruJAbkF5FrZhM2QviViWmYgHJ3xFJuOqUdMLTCUU63mrvPHJLkqC9ZVhynsZ6pE6ewtKqK5StW8rQeAcSpeut+FPDVr8zGN+95Wlpbsax4n9fkG3QG97xyBjrWwLL/+zcnz/0LA0+6ht9ceTwDgOLJMzh8eg4wnRnHn8bhPz6TWstCP3k9dy+awK8e/z3T82D6jKOYcPVX+fX1T3Lo/V8Dshk4bAQjEjOHCk87icHv/y/3/7GZk2fP4Suzjujzn00IIYT4oiIdEa9L2CeGDc2nvaOY7KzNXpcihNgLuTkbaWkDXxq9S+4NSkFHR7uEQ2Kn0vdpr3VqhpBGY2BgoMgL5DIiXMnaSA22dojFYqxevRqfz0coFCInJ4f8/HwMw8BxHKLRKFVVK1i9eg2DB1dQWFjEggULtn84bMqCpQSUiakMQOFoNwAyDOXOskHhKA1KYyiDruFQ95lDMpC6LzmOxm7dAovf5azZs3j0P89RtXJV6vqjj5jBiMJsnAYLC4Xj7Lv/HipQwriZZ/G3+CIu+e1t3D59GnOnbHuQwlCqe7Sotp5OPod6qrrwsCu4/7FTePfZJ3nskV9z6d8m8spzd/TFjyKEEEL0mqLiUqDe6zL2ieUrzmDq5Ae8LkMIsZei0cwLh4TYHTveB9xj2tE4uG+VU2+XlSZsBpmcO5YZhQcxODQQA4P29nZaWlpoaGhg/fr1rFu3jsbGRqLRKI7j4DgODQ0NfPDBhzzzzDOsWLFiu8eb37qE5xtep9XpQCV2IrNwaLJbqY7Xs9F2PwFSyZqUREBe0Y6Dtm3sxo2w+B3Omj0rdd34sWM4fPIE4gvfdI/R7JNlZdsqnTqDwVjUrWli20fX7St4f42m0OejaPxY8vRK3l7qLg/TbUt5Z6VD9phxFPsUEKE50v0e/AVjmHnetdz1txs52reYzn3zIwkhhBB77czTz+XNt/aP7qHSkkrW187wugwhxF6KxTNzFYiSgbliF9I2E9WJgc8GRqqHQmlFyAhgBovI9mVREiig1YqwoPVzmq1WYnYc27axbZtYLEZhYSGBQACtNY7jpOYN7Wgns02xLfx7wwscXzyD4eFKlnWsYkl8FdOPPIzCkhLqXqyhPFiS6CACtU081H1pmegrGo0Tj7vdWs31GIvf4bijjwI00yZNJDb/NXSsE0cZxDWJDrC+FV3xT373aBOjp01kaGkWCx59gOUUctq0AfioYvlj/8NjkYMZltPGov/cx8stlVwNMO4czp3wX/500w2c+rOTmPf4Pfy3YywXnzuRLBSDWM6/HnqOgpllRDe2MNBpYm3pWIYW+uhYt4DqTjD7/KcTQgghvri6uk4g7HUZfa6oyKRqxaGUFC0iFGrxuhwhxB5qa22nsCDL6zJ63a528xYifcMhx8EwDHDAUEbqyWwaJqbyETB8ZPnCFARscv1ZdNidtFrtNMQbqWpfTTQaJR6PY5omtm2nOoicXXSR2Nrmo5aFDMuqYHnHGhpjTbz66iuYhkmWDnB62Sn4E51Dkr56wzR9LKxrZPLAAgylINrG9IFlAOiqD1FWBDOUxfzaRgqGjMLn8/dxRRqLPPLb3+Dpu5+kIQrFIw/nnF9dyjcOyIYm8LOK5//fs9R0QvaQwzn/livdm/oHc/rcO/HdezfX/OIPFI09jstuv4w5Q9yar7nwEH77jz/yqxchUD6DKyfUcO8b99HmAP4Sxp1wOX390wkhhBC9wTShvl4zYEDmv36qGFTC6rWnMH7sY16XIoTYQx2RdiDzwiF57yp2JY3Coe5PVic5wMdM9ucYmKleHY2pDHzKJKjgncaPididDAkP4rDCqayMrCUQCGCaZmpnsuRXsoPI5/ORlZWFbdt0dnZi2zZZZpjhWYOZlDeWjbEGjis+nJiO0mnHcbRNjj8bdxyRSnQzbbPDGsmlZvKL15dKysoZfcPDNMeiOz1uTCBIXkEh4awd/+X+Nnv+X+un212iyB41i8tvnsXlPRzvAMO/Ppc/HJXT4/0ZOWOZc/UfmXP19tdNPGcuD53T/bITZed6IYQQ/dAF593InX+8jhNOHMDw4Zn9WikrC4YOncLiZYMZWvEPcnI2el2SEGI3FRbMp6n5JAryva6kdz3y6K1cetFctwFDiB6kUTjUnXYclFIo7b54UCgcwFTu4i2NxkHzWfMyhs8YQ3NzMws+XsiY7BEEAgFs2yYSiRAKhbBtu9vSMoDi4mKam5vp7OwkZAaZVjCB0kARub5ccs0sqtpWszJWzSlFR1PkL0TjLt9RykChMIzELmYJqtt3adnra2WDKnrlfp5L7FgnhBBCiL7naJv96UO04UOLWfz52UyfdqfXpeyR6mr3u2mC1uA47mnb3nq5bYNhQHY2FBR4V6sQvS0Y2Eyk04H8zApRJk0o4a8P3c2F3+7p42wh0ioc6iFQMUyUdlDK/cVUGlIvKJTCcSyqOtaw4eWP8Ckfx5YexqbY5tScoVgshpNYntY1GMrNzWXz5s3Yls2I7EpGZw+jOFBI2AzhUyYGivJQKZ80L2ZDtIGJuaNQSmHjuCGVtlGGQsm0F7EbjMKT+MNRXlchhBBCeC8rK8T+9qH18OEDvC5hj2gNsw52T08sgpYYVLfBxEJY3Lj18sVboDIHHB/c/b8wYox3NQvRm0KhFppbO4Ceu/77K3/QIBgMeV2GSGNpFA5tQ2sMAxTuvCGFQhmKxBZmKEAbDtMKJvFp02JGZg+lNFTMuvYaOjo6CAaD5OXlEQgEaG9v77akrLy8nOpV6ziocBJDssrJ8eURNv2priCNpjRUyszSw6gMD0rFVkopNA7KMLZbVpY8J8vKhBBCCCF6Zlu21yXsc1lhWF9zOIMr3vO6FAD+/Ed48RkoKYCsEKzbAEPLoS0Cm5thw0pY2JY4uK3LDXs6nfj+wzmwrBCGDYKGJve+s0Nw9mUwXTZuE/1MKNiCpp1MC4cc28F29r+/g8XuS8twSAGOrRNpi0IphaEUTiIwAvcjp6AKMSJnKJXZgzHdYUCEzBDZ/mxaYq2sa6plbcdaysrLiMViaK0Jh8OEw2E67SiNVitTw5PwKT+peEdrFJDvz2ZSwRiUNtDYOLiDsZ2tFe6wdiGEEEIIsb2y8lGsXVfH0KGZN+x1Z4qKv8Snnx3KqOH/ICdnkyc1fPNY6PgcnmiDi3r5vu9cB6wDFmxzxVPw4xzwhaHtMLj7X738wEL0gXC4CZMaOtrLyMr2upre42gw5M2q2Im0DIc0bkurG8boRC+PSkxYV4n2nOTuZQYmW/uTfSqLIdkDiWaVMjA2gHnqM6rr6xg/fjyBQICcnBxqa2sBWNexHktbBIxA4tbdf1sUgNIoDAxApwIh97JtjkzVLoQQQgghtnfm6d/m5Vce4/331nDY4YFdHp9JxowuZc3asxky+BFysjf36WPF4/C1o6Cl1X0zaNrw11oYaPXpw/bo921AGzzyGpxyAFRtgp9eA5dcte9rEWJ3+QP1dEbJqHDIbyqUIWNRxI6lTTikugQsCtBao9GYhnLjoURHD6hE45ACrbqFMQp36VeWkUVIO4QMP5MLxrG+YwP19fU4jkNjYyNaawZnD2RKwXhMw0gOM2K7aCcx60hrDRq0cgMrcAfzoZyebyf6XDwWQzs9d2+lKIXP79/pRP6qVW+Sl7tnUxTLSqfs0fFCCCGE2MowcmhujQP7VzgEMGxoOWurv8H40X/stft85ilYvgza26GwCBq3wN3/D9bEIZY4xg94/R733HY4cpW7UOfWP8C9cYgA53wTBg7yuDghtpEV3kRbh0UavV3+wmIxTTwW2/WBYr+Vts92rTVKKbf9zTBQ7oqvLkEOiQtIdBR1pTCUQUiFKA0XMyl/DEsaV6K1Q2Egn+JAIVMKx5MXyCWg/HS58633r3XX2dcAGIkB1I623UOVSgVW0qG379i2zdqbLqCzenm3HeO2FR46jvJLbyZQPJDGuvWUDRu13TF5uQUUFJT0ZblCCCGE6Ebv1x+rDa0sw3FCGEbnHt/WsqCuzt0lTCm4+SeQ/xJUdrov6rNxBx/UJ45Pt8V7QxLfb22Ee37t1nfunXDjwzB8tHtdRweMHetVhUK4QsEWGpvagczaz97Z1YfrYr+WduGQG7MoHMdBGSYqtcuYSjTydAliEqvMtrc1NAoT4oCi8VRklwGKgOknaAYp8hfgN3xbk5/tClHbXOXOPAInNQOJxDI3d1D1TsoRvSoejeJ3ogz98jdRO+kK2rB4HrUP3cyHkWwaN9Zy+X2P7cMqu7K59y/vcMb5x1CWdr9xQgghxL7l9/sJ+vfneAgWLfk+I4Y+TE7Oxj263dnHwvLl7i5heX74dQuM3vOMKS1clvj+3Wb4xSXwVCuYwIgCOO1SWXYmvBUMtdIZi3tdRq/y+ZXsViZ2Kq3eqhoYYIDpaGqqa6moHEQsGsPpMgaaLrN+tJEMgXZ8nz7DT7GvkOJw4TbXbPuiRCUuVaAd93G6pVA69fgGBoZhYJruvCO3g8iQYGgfsWyLQeMmY1fNQ+N2ltmJLrLks0OFsnirUbFsyQJOvuQqZsw5u+8Ksut44rvn86c1PV2Zx8m3P8hL/13GiecdQ1mfFdHOBz87k19s+R6v/GlOnz2KEEII8UUdc/RJPPrYIhYtijFp0v63tAxg1Mgi4ArmL9zEpPH34/d3bHdMaQG8lFh6ZQGFwOPJK9u2O7xfu6kObkqeaQN+CS/9EkpMuHwwXH+729Qfi8HMmZCX512tYv8QCrZiqiZisRICGfLX1JQpBitX1dDUtImCglKvyxFpKG3CIZXqGXLf7FvRODXr1jN4aOVOZ8bsuR1/UqW7Xa920PSssR2HjrYOGuo3JYKhZO2pqUiiLzkOOhpFB0OYI6ZiLf8IbUXdqzSocDZ63GEse+kehhWEmTzzlL6txyjmmKt/x/A2B7DY8NLvaDrmOsaFACNI6XAfL/VtBUIIIUS/ctbXr+LvD/+GSZO8rsRbY8eUMv+zi5k+9c7tPuzclFlNC3vsZAAb/qca/nYRRDQ02nBLGN5btfW4jg7ISrf1cyIjZGWtpyMyKmPCIYCTTizg7/+8jcu/d6vXpYg0lDbhkCvZgeNgKoUVs1hRVZVYVta769O3v69dhUbuqWQIZCT/p0y2xkNiX3DcreywRh/C258s5Khph+PMewUAlZUD42fw5HMvM3zECEap1sRywD6kApSMORB3clGc1Z9lsWnKNKalJj92Qv0L/Oq8/7CpMQZZlRx6xmXcdMHB4DTx8V9+y32vLmTNZhh5zu3ceeFo/O1VPH//3dz5/HJKJ57AOZddwqwxORiRxdxz1Q3874omLCBr8KE89eBNW/vpVt7FiSfeBROu5d93HE+BPC2FEEKkqW+edy2r1t5Jedn+vcRswpgBfPLZ9zho8r2A2yEzayI873Fd6WK8A7ds6XJBC4wsd08eOBha4zD3Xpg+w5PyRAbLzVlLe4cN+Zmzw5fWEAz0ZuOFyCRpFQ65sVAifEnsCoY20Upv09WzreQ74OTkn56O6/ny1C30jm/bfUc0nYiC3EmAhlIorbrdcv9+idP3tONAIMT8xct49/0P2NTQwJwyH5g+mHAET77wMstXrOQnV13FR/+6b9e7mu0LweEcf+GZTClRbPr4X9z18C9xLngBw25h+bsfsa7w6/zuqvF0lg7Cb9XwzC+v4O4V47n5xh/wyeP38ccr1hJ74DbOHFjOjLOvYHphEeH4Bt5/+HY+atMcmpN4nIqzue9Xx6LCZeRJMCSEECLN1dTYlJft329UYhYY9mAeevBg1qz6mHvugo2yodBOfdTqfjeWuHOKzvw6nHQF/OQaT8sSGUYZGtuygAwKh4DOiO11GSJNpVU4lIhcUBjuLBmlUjuRuVvbw66jl52FQ9vfPhUJKXq8fusluvuiMZ0IhlCpTc7cR5ZoqK9ZVhynsZ6pE6ewtKqK5StW8rQeAcSpeut+FPDVr8zGN+95Wlpbsaw06MvOH8cxxx3BqABw8GTyV53JZgeSq31Dg6dz4CEHAhY1j13P3Ysm8KvHf8/0PJg+4ygmXP1Vfn39k5z+xyms+fgp/vP+cmqb4vizTNrWRTl0QvKOShgxYoQ3P6MQQgixh46acRV/+esvOP30EoJBr6vxxsIPYXIrjM07nfiBp3Pubxqofuk9Kl963+vS0lbRNudfbgRuhEdug98omFgIixuhIhtK8+AHd8MhR3hRqejP/L4IlhMDMucvJ6UUoVDmhF2id6VVOARuQOQGLDq1XEuTGDqd6u7Z9b3sOiTa9hK9w+u3vV+FRikjUVnX/dMkGNoXHEdjt26Bxe9y1uxZPPqf56hauXXx+dFHzGBEYTZOg4WFwnHS7b+LwvQpdl6W6jYQPfkcff/313D3x2M458qbOHJYDrGV/+bVPq5WCCGE6EsXfusm7r3vOkoHZFxLKP0AACAASURBVHPaqTm7vkEGWfwRjG+D5P5BfqCipIRNXz+JyMefE97c4mV5/c657XAubB3Y3QZshJPPgvAoyM2Bvz/rXX2if/H7Itjp8CFzL9KOxrLS7b2RSBdp18eru4RCyTHVBluXmu3+1+4e73YnGT38T6UeX6XOJzubku/be+oWktU8fUs7Dtq2sRs3wuJ3OGv2rNR148eO4fDJE4gvfNM9RpMey8p2m4+i8WPJ0yt5e6n7yka3LeWdlQ7ZY8bxeVWErMPP45zjD2TMyFGMHVuZuJ1BICsAnc3elS6EEELspW9+4+cUFRzM2rWZ9UasJ3V1sGEDvPs6lG+C3B7ep5X6g1T98jusO1UG6fSGlxrhRx/Bj153d4F7/XX4z3+8rkqku1Colc6o5XUZvUoDcUuWlYmepVXnUDJkcRKdQw4ONhp0ommIL/4mv+tkoe69RdsvN9vRdvfuSret8ZVBMtQS+4JG48Tj7rOkuR5j8Tscd/RRgGbapInE5r+GjnXiKIO4Bkf3p3AIwuPO4dwJ/+VPN93AqT87iXmP38N/O8Zy8bkTGfgnP4++/wiPvQGHVmTjVNdBOUCAQVOGwJv/y8cfD2fzlgIOPeEACtIu/hVCCCG2l5OTw3HHnsI997/J184sIzt717dJd44NxjarNxZ9AuYWaLfhcBuMnXyAP6qohC1nncSnh4xn/O2PEmzJsP3r97FjEt83xeGyc6EkH+bM8bQkkeZMM4bf3048Dn6/19X0DgWYPnnXKnqWVuEQuMGQTgRDBXl+Tv/SYIKhAMowMfw+fIEAps+HMg33MtPEDARQPhPDMDF8Pky/e73h86EME0wDw+/+qNp23M6TeBzHstC2g+PY2NE4jmOjLRvHttyuk3gMbTnYloW2LeLRONqxiXbGqN/QzrsfN7C52XK3T08thxN9zTR9LKxrZPLAAgylINrG9IFlAOiqD1FWBDOUxfzaRgqGjMLn62d/m/sHc/rcO/HdezfX/OIPFI09jstuv4w5Q/zoH1/PuX/4E0/OvZqHAYwgl9x/JWAy4MQfc/nCuVx33VyKp3yTUTMPoCCDtt4UQgiR+Uwj+YFg/9bcBEsWgE9BcwTyw2DZMDgGg/egEaHI8JM7agRLbryIA390R98VvJ+5p4XUrmcHDobmTljdAGecBr/7i9fViXSxpXEkoWBxxgRD4DY5BPwyc0j0TOk0+Be4xFeo5+Qej42d6haadXQpxWVB9DZBkAoEMEwTw0iEP4kQyDBNlGlimD4Mvw+VOK9M5c4HSnx0o7UG7eBYNtpOfDkOdiyGtm0c20ZrB2072NEYjuPg2DY4NnY0hnZs9zrLwgf85dE1mIkeouRis/wDyrn+if/Pu/9De8lnC+Zz+JHH7PpAD2ysrSEWi+70mEAgSF5BIeGsrB0eU7XyTXJzC/boscsHTNmj44UQor957503OWDK1O0uT+d/F0Rm+ONdV3PW1yvIzfO6kr33zstwZB+sjmvWNg0r1zDxlr9hxDNrqUs6uQO42Q+Lq9ygcsAArysSXqhaOYuc3MPJz7Dtf5tb4LHHavjhD37ndSliH3nvnTc54eTT5mmtD97VsWnTOaRTY6jdGTGlRT5ijoOpNVprd+mW1hiOA4YbxmjHAZUYWa3dL+3Y4BjJtV9oR7k9u4a7tEjrxB+2DY6z9Stxe4XGsTXaSVSjHZTj4DjJ2yePA8tx0NrBUW485JCGQ5wyVNmgil65n9Ej5U2OEEIIkS5CIV+/Ht4YjfZNMASQr0xyRo9k3q0/YPxtD5NT29A3D7SfuxK4Mg5fPwTWKXh/1S5vIjJMW1s5MD7jgiEAw1CEQ2kTAYg0k2bPDI2T+PL5FFFb42iNqcFxbEwA0yR36oEEKisIFRS43UFdtrzf9vSOGIZBsmtKJwKo5Onkdzsep3PzZiIr19D22Wdox0ZpsBPHa0enFsElR1X361c0QgghhBAeikZt3n6nnSmTs6io6H+vqXx9vFrD1DCxpJS1132LwHsLGfnIy337gPuxx+rhkj1rLhcZYvGyszhgYqHXZfQJ2a1M7ExahUMOGpzEYGoHsG0Mx0Qndh7T2qH87K9RMWwo/n21+HPIEKxJk6ieOJ71Dz6E42ztJNK27U4Z0qCVTmxt7+5sJoQQQggh9swZp1/OsmWLef75V5n1pQoGDUz/gKiuDkzTbURftQz2xf5iQ/MLaTzlaDatqKb0wyX74BH3T/c3uTubxWIQj7v/jQ88EIYM8boy0ZdGDi/1uoQ+I7uViZ1Jq3AIkr1DGm3HcSwbx1BuGGMbFBx7DENHjcS2bSzL6rEzKNn5k+wgSn4lL3ccp1t30e4wfT6Gjx9Hw/hxtM9fkJpT5FjujKStm9wnfwZJY4UQQggh9lTFoEoqBlVy3LGnAHDPn67lW98q97iqHatdCYOWbj2/LystRMEPzmMjDuvqNzH+jn+Ss37TPqxg/3Dsl7aebgXOGg7PL/KsHNHHPv70B0wYl/6h9N4yDUVWVtpFACJNpM0zY9tARSdmATm2jdIawzTxDR5ER0cHOxqi7TgOWmvy8vKwN20itmED1saNOJEIZlYWvooKgsOHQzCIbbuJ6c5Coq6Po5QiPGwYrR/Nc3c7s22U0/MW6Zn714kQQgghxL4Ti3ldwY7N+wAGNHpdBeRiMGFAGWuuOZ+JV/ze63IyWi7wl3VeVyH6yrr1R1BanLldQwCO1kQ6pHNI9CxtwqHtIpXEFvPKTuxpapoQCtHW1rZdoOM4DrZt4/f7KSwspO7664muWYMyEt08Srk7nJkmWVOmkDtnDrq0tFsXUdfuoqSu84eUUhhFBejEIGvHtt1h1T1GQRIP9bVIR0dqSPiOGIYiEAhi+nb8ND/+mAqmT9uzBeW/uX3xHh0vhBBCiL1z2qnfBF7xuoztLPoExjZDTpq8x1LA8IIiVnxnNqP+5xmvy8lo5TYcMRHelZeDGaWzM5fGpkMYPSqN3h73Aa1llYvYsbR99juWhWPZKBTKMFB+DYkwpyutNfF4nGAwSHFWFptuu43OpUsxc3LInjED/4ABmMXFOK2tdLz7LoExY7A2bCBcUUFnZ+cOA6GeTjuAtiy3q0k7OPbOwwnRN2zL4qXnn2Vj/QY3pNuBgQMrmHn8CRQUFu3wmOnTCrj0Qlk4LoQQQqSjMaMn8shj/+Yrs9NnMnB9Paj69AmGuso/5hCWlBZS9p+3KFqy2utyMtZz6+GUg+DFeV5XInrLmnUnM2hgiddl9DnZrUzsTBo9M7ZJMLWNYzsYhu1uY2/bxC1ruzDHcRwMw6AoFKL2Zz8jumoVpZdcQvi449jS1kZDUxPxeJwBo0Yx4PjjsdauxWpowG5uJpiXRyQSwTC2HyDd09I1O7GUzHFstK1TnSvJuEqlvqRzqC/FYlHKBg5k9ulnYpg73hbkvXff5u03X+PLX/nqPqxOCCGEEL3piEPP44UX/8HJJ+Zj9PFuYLujuRny0vTzwWwUwYljqR82iHV19VQ+9QbFC1d6XVbGKbDgriq45FhoUPDka15XJL6IltZBOHok2dleV9L3DKWJW2n6F5jwXBqFQ905nXGcWBzL8qFNE4UmFoullnhprbFtm1gsRvbTT7PyySfJPuIIRjzxBB99+inBFSsIBAKYpkkwGKSpqQnTNAmVl+OLxYivWUNoyhSUUliWhWmaO5w/lAyKotEoVmcM27bR2kbvoHNoD2Zdi73gOJrDjzhql8cdfsRR/PWBe/dBRUIIIYToK0OHjmLp0sEsWLiZqVMDntay4DWYEvG0hF3yac2grBwYmQM/GcHStmbMeUsY9q9X8benefH9yCgb7v/QPf3jMvCFoe0wuPtf3tYl9lws9n2GDfW6ir736ac2S5f4+f53b/W6FJGm0mjP9W0SFcdGWxbYNo4VR1sWdmKHMq3drh3LsrAsi8bHH8fIzWXQDTdQvWEDWVlZZGdnEw6HU1+FhYUYhkE8HsfIy8Nu3DpBsOtsoa6XJR8nebllWThW3K0pnqivh59DVnGmD3MnnUVCCCGE6B9OPvk7zJvXyIaN3jx+dRW88mL6B0M9GZKTT+7Mw/jspkupOe4gr8vJSL9vg1s3wRGvwfHj4StHe12R2F21ddPI2g86hgAMwyAYCntdhkhjaRQObbNczLKxE2GME7ew4xZWYr5MMrixLItwOIzd1kbJBRfQHo9TU1NDOBwmGAwSDAbx+/34fD7C4TBKKWzbxmlsRPn9qfvqGgAl7zv51ZXtODhxq0tYlVxsnlhIlmgZkmVl6UPCISGEECIzhEPl1NXu+4/gFn0Cxio4Ng1nDO2uPA3jikuJnTeLtorM3o3JS+e2w0PrYGWV15WI3dHeXszmxmO9LmOficcc4um8BaTwXBqFQ9uIx9C25YYx8URAZNupwMa2bSzLoqCgAF9hIQVnnMGGDRtSwZDf78c0zdRXkt/vx6qvxzdgAACxLr8gyZBoR0GRFY9vrcWKo+2eOodEOjHM9H2KCyGEEGL3XXzRD1mwoH6fPmY8DhvqocJK41kMe6DMF2TNNedTO3Oa16VkrMHAtf04SNyfLKk6m+FDd7xxTSba1W7PYv+W1u+cHcvCjkWxop3EIxE6I5HUrKF4PE40GoWmJsLTpuEYBo2NjWRlZeHz+TAMI7UEzefzYds2pmGgX3qJzqVLCYweTVtbG9FodKedQ12Xl0UiEeLRTuxY1A2Jui0rc/uFVOoPkQ78AW9nEwghhBCi91z23Vv4+9830sO+IX3io9fhhAx7oz+isIiCC89ky9/n8tkfr6J61pFel5RxvtEODw2Ah37jdSWiJ2urj6G65ldMGDcoLYbc7yuGT94biZ1Lo3BoF4FKIhTqynEc7NZWfAUFqUHVyZ3HksEQuEuLHMfBWLCA6Jo1mIWFaK1pa2tDKZU6tqclZVprHMsiNH8+8Xh8ZwXu9U8u+o6p9qO/8YUQQoj9wKUX38Jf/rqBzkjffxhXsrOXfv1cSMPIgmLUmccTzd1Phq7sQye1w413el2F2FZN3XQc50iKi4Nel7LPORayrEzsVBqFQ91t+899snsnGeYkmZWVdCxa1G35WNewJzlnyPfJJ7S+9hoYBnlf+hKNjY1YlpXqMOqJ4zjY0Sih99/HWLmSuGX1uMV9zxWLdGDKsjIhhBAi41z+vd/w+BMb6OsV/sP79u7TQpEvQNX1F1F96uFel5JRBgDnFMOyRV5XIrrq6DiWsrIsr8vwxMo1zcyZfbbXZYg0lhbvnLUBNtv8695DYNN1jWSyS6itrY32N9+EeJzS0lIcx3FDncRMIgATaHn1VYy8PEq+8x3MvDyampowDGOH4ZDWGqujg9Cbb2KsXQvxOLZlodl1j5DERH1vd9bLOo6DIQOphRBCiIx0yUW38MSTDX12/0s+An+f3Xt6GTFgAM7XT2bxz79NR2mB1+VkBBOYuxquOR2qq72uRgDYdoCKinyvy/DMkYedQ3GxDKQXO5YW4VDJ0FIKxpTs8jjbtlOhULJTaNOmTdhtbWy65x7Ky8uJx+OpmUSWZZEVjdL5l78QrKyk9HvfwywspLOzk0AgkBpa3TUcSnYo2bZN+MUXMWpq0PE4Oh7fxbIysa8YhmL50s93GRAtW7KYktIB+6gqIYQQQuxLjuPQ0tY3SyTefg0GbuqTu05bpaafIWNHseIXF3pdSkax22DlSq+rEABLl3/d6xI8VVpa7nUJIs2lxcYLpt/H+Xd/j89e/YQXbn8Kp9NdPobq2oWjiHdZBub3+wmHw7S2tjKpupqVJ5/MhltvZcgDD7Bl9GgCf/4z1ubNRKZOpfjCC/EVFVFfX0/junUEg0Fyc3Px+XypJWi2beNYFnrRIvzvv48vGgW/H8c0MZRCGwZRn48QpLat1+hUfSr1p0J6h/pWOCubcRMm7fK48RMP2OUxH81vQj24Z49/yx/27HghhBBC9D7DMLjist/y5DNzOeWk3pmZM+9dGNMMR+2noyRNYFRhMRsfuol1dXVM+MMjZNc3el1Wv/ZsC3w2G84fCVf+CaYd6nVF+5/mlkrqNpzD8OH7Z9fQvE+iVC23ufBbhV6XItJcWoRDSQecMA3D7+OxGx5C6zAKhSaxD5gCp8tAatM0CQQChEIhaltbGfnss1SdeCKrzz6b8KRJOOXlDPzFL8g++GAAVq1aRTQaJRgMEggEME2z2+Bp68UXUZ9/jhGLoRNhkAawbbTPh5oyBWf1akjURLKubUgs1L/8940ar0sQQgghxBdgUME779Ry5JF7P0ckGoVln7jBUO5+Ggx1lasU4ysqqP7JNxn4wFPkV8m6qC/iABv+thxO+SoER8CpX4bv/sTrqvYfq9bOZuzo/TMYWrM2zuJFHXz3khu9LkX0A2mxrCzps1c/4bnf/puwEdpmDpDG6TKQOtk9ZBgGfr+fdevWsSEWY9Szz2Lm59NZVUXR176Gr6QErTW1tbVEIhH8fj9+vx/DMLBaW4ktW0bn66/TedddOO+8g25qQkcT29TH4+hYDGPECAIXXYR58snugOtENLRdCKTcOnVP1wkhhBBCiD7xldnfwnFG8Pob7Xt9H+vXw7AtEgx1ZWjNkPIyaq44i00Hj/e6nIzw4ha44GP43e+9rmT/sXrtTEqLy7wuwzOLPutk/LgjvS5D9BNp0zlkxyyev+VJfPi6hStud47GYOvMoa7b1vt8Pvx+P+2LF1Pz8MMEKiowQiEaH3+cxieewFdUhG/CBPICgcRSNUW8sZGOhQsxTBMjMbtI+f1o03SXkRkG2ucjdOmlmCNH0tbWRmtdXWrGTbKm7UksJIQQQgixr51y0tk8+/zDvPLqWk48Yc+XmNWtg5F9UFcmGJZfSM2Fsyn9eInXpWSEOcC8Yvj0IzhwutfVZL7WtmmMGrn/blDjDyhMM23e8os0lxbPlI0r6rh71i2EjCC2YydiF3eej9tA5PbrxGKx1Hwg27axVq/GefppDrzkEkKHHUbsuOOorq7GsixyCwspLCxE19bS+fnnND79NHZLi9sZFI2C1uhgEF9FBYGKCrKmTyc4eTJmaSlNTU1samiguqODwLJl+P1+gsEgjuNgGm40ZOvto6CtE4ckJBJCCCGE2Je+dNp5ADz3wj849tjdnyb95n/h0M6+qiozVOTksf5/fkX81fcY/s9XvC6nX0vuYsZMmP86TD3E44IyWMPmsYwaWex1GZ6Kx0E70hIpdk9ahEPKARMfVtft7BPrszTJtW8qtYtYfN06zKoqCgoLyb3lFmo3bqRhwQJaWloAyMvLY/369axbt47s7GwKDjyQgccfn9rhDK2xW1uxAwE6YzEikQg1zc1EN27Erq1NDbxODq1OLkdzq0jMQeoh/5FfOyGEEEIIb8069RtsrL+D3LzdO17LC7jdUuQP0nT84VTHbSoff83rcjLC78+F6x6H7AL3eTh8uNcVZZa6jTMZOcLrKryzvtqhvS3GUWce53Upop9Ii3BoR7p24CjlLivzNzeTNWAA1qhRNLe1sX75ciKRCIZhkJ+fTyAQIBAIpIIky7Kor6+nrq4uNYA6ObPIcZxuu5/5/X5CoRCmaeLz+QiHw6mt7n0+H5ZtpxaUSXeQEEIIIUR6ikQdcndztGZuCIj2bT2ZoiAQpPHUI1lrGgx99FWvy+n3Hq6Di2fDpxbEbFiw0euKMseGjZPJzt5/t26vrnZ4880GLrnoZq9LEf1IGoVDertzGo2ZWKilcYOdaG4urbEYsYaGVNCTl5eXmj8UDAYxDCMVDqWWoFlWamZQUtfB1j6fDzMxbyjZYZQMhpJf2nEAhYHGQcZPCyGEEEKko1df3UxefjZDK00OOCC402O3eXkodqHQH6TulCNBwqFe8cBm93uVt2VknNq6IxkzOuB1GZ55/oVafnTFbV6XIfqZNAqHtpfqzlHuaTvR6ZPccSy5DX3XYMfn86WGVie/kgFR163rk4FPMiDy+Xypy7uGRl1ZlkXXWdTSPSSEEEIIkX4u+vZc3njzZVasWEbdhlZOOnHH29y3x/ZhYRlioOmnetYRVD73rtelZIzRwCVfgy99E449FnJzva6o/2rYPJq8/CKM/XQO9fLljgRDYq/sVjiklCoA/gxMwo1GLgSWAY8Cw4A1wNe11o3K3YP+TuA0oAP4ltb6kz0pSkEqxEkO91GAY9sEg8Gt122tD8CdJ9TlPF3vp4fzyYBod1mWlarJQLN1tpfq8qcQQgghhPDazGNOAk4C4MOPbmXSDjqIcsPIsrK9UHzWaSw7dQYD7nuKws9WeF1ORrj/eXjhebjlK3DzP7yupn+qWjGHvIJDGDTQ60r2vdY2zaP/quWKH/zO61JEP7W7nUN3Ai9qrb+qlAoAWcDPgP9qrX+jlLoWuBb4KXAqbvg9GjgUuDfxfRe6BDo9XOqwdSv7ZKCjtWb16tWAu0Rs206f1H3sYQiUvM2QIUO6nbcTM4fcGrtuZ79NWCUxkRBCCCFE2qips5l0QM/XtctOZXutMq+Atd+Zjf/2f5Kzts7rcjLCqUDzq/DD8+DOh72upn9pbq7EdsaRm+N1Jfve+mrNiy9JMCS+mF2GQ0qpfOBo4FsAWusYEFNKzQFmJg57CHgDNxyaA/xNuy067yulCpRSA7XWe/wvhkruVqbckCgZDnWpjZEjR3Y7v/v3vWcBTnJ5mlKkOoa23kX3+9Kyb5kQQgghRNrY2Wsz2eX5ixlaVMziH36dg669ByMW97qcjHB2G1z3kvvpvNh9q9aexsgRu7lNYYZZuKidSROP97oM0c/tTufQcGAT8KBSagowD/ghUNYl8NkAlCVOVwDVXW6/PnHZLsKhLsu9upxTANodSN11oHRyt7Fk51BP9jQA6so0TYYNG9btvizLAq0S47F3TDqHhBBCCCHSR2trFMju8TrZreyLGzFgAEt/8DUm/OERr0vJGOcWel1B/1NYUI4vrSfq9p2O9k5mHDrJ6zJEP7c7vz4+YBpwudb6A6XUnbhLyFK01loptUefuyilLgEuAchWYbab2KOTS7fAQWNoTVt7eyrw6bqL2N7o2nGUvL9d1Iu2LJwusZDuVnOXjiYJh4QQQggh0sYF3/g177//JstXvs5BBxUQ8ENFBSxbCCM6IOR1gf1c2IFhB07kk5u/x4gHn6WgqnrXNxI7NbcGnsyGq/NgpazY26UFiy5k9Kj9c3eyfz22hQvPv8nrMkQG2J1waD2wXmv9QeL847jh0MbkcjGl1ECgPnF9DVDZ5faDE5d1o7W+H7gfoMRX2C1Y6nrGAQylwHEwolFM00x1EBmGsV3IszN7M3coyTRNsiPRVH1KQXLC0bb3KsvKhBBCCCHSy2GHHcO0adO56+5fUVgcZMLIUooaoNDyurLMMaaykrorzqLpvx8w7Om3vS6n35sDzCuGZYtgrDSF7NCatcdRXDLU6zI88emnNtglXpchMkTPE5y70FpvAKqVUmMTFx0PfA48A1yQuOwC4D+J088A5yvXYUDz7s0b0tudUyQ6dtA4QEFjM4HA7iXCXTuLdtZh1NNxPR3v9/vJaWjAQadmIWnJgIQQQggh+o1AIIurfnQb3z5/LvMX17OspcXrkjKKoTUV+YX45hzHwuvO97qcfs8E5q6Ga06HamnG6tGWxhFEY9MpKtg/15PZtoXfv392TInet8twKOFy4B9KqYXAgcDNwG+AE5VSVcAJifMAzwOrgBXAA8Blu/cQO+rq0aDdpWVl66qJRCKEw+HUtvXd7mEvgqBdHWeaJqFQiI0bN1K8cdNuVy2EEEIIIdLXaadcyoYWP6+3NHldSsYpMgNUThjLlgNGeV1KRsjqgBUrvK4i/di2n5q6k6ms3D+HUH8yP8byZRbfPO+7XpciMsRuRaxa60+Bg3u4aruR6Ildyr7/BesCkruVKTQOhgIsh5uuv4GvnXM2EyZOJCenb/cp1FrT0dHBW2++xavPP8dBuCEVWqFU193KhBBCCCFEfzJkyFAu+v513PG7nxNVTZySW+B1SRklqKHmsq/S9tL/MeTpt7wup19rc6DLvjwiYfXaEygurvC6DM8sXdLCV8/4sddliAySNv13283tSazZSi4tc7TGbxhUfPgxL7zzfzxl2zha4+i+6d7RgKHceUch06QyEMQMhzEwMBQ4bN21bNvVZTKQWgghhBCif7jy6rkAPP/XG5gpAVGvqsjOhTNOZuNXTqDhsyVM/P0/vS6pX/rfFrjifMh9GA451utq0kdp6ZH4/V5Xse91dsK/H9/IpRfd4nUpIsOkTTjUVddoRaNRibjFVFAeClHkDxDXGkfr1PW9zUncr6EUfkMRNExMZaBIBEeJSGj7dXkSDAkhhBBC9DfLG+LYNHG8BES9Ltcw8U2ZxPwbLmbqDQ94XU6/dEoT3HozPCHhEAAbNk4hL9/rKrxRUwsdHdJKJnpf2oVDbtCjsOzE7B/t7liGAhMFiZAmRLK7qPejoVQnkNIYKFC43xN1JMOq5B+GBEJCCCGEEP3alT+Zyx2//TlxZIlZXwgDI0cOQ5smyra9LqffOQa4cbnXVaQH2w6wafOR+204tG5dOyOHH+B1GSID7e5A6n1CARhu9NLQYbphEG6RRmLAj6EMfIaJz1D4TQOfoTB7+cuX+PIbBqZh4FMmBu51yWBI44ZVSrk1G4lQSwghhBBC9E9XXjOXlbUR/l5TyyO1tcyPdXhdUkbxaZh/y/fBSKu3IP1CNvBBA4wshz/f4XU13lpfewj5+eVel+GZyoqjmf3l87wuQ2SgtOkcUigMDMBBGSavVilyg0G+NM6ih43JPGXZsLFd8f5aA1OZGIloKNlBJDOHhBBCCCH6p6t/dmu38zf97DucPGkkg0NZ5G87aFLssXHlZbT99SaW1aznoOvu8bqcfmdlK/BzuPUOGH8TzN7PMoKqFXPIyz+Y3Nz9L2B86eU2skJjOPmko7wuRWSotAmHXCqxSMvBVAatUc3fFygc7UBqFaf5RwAAIABJREFU+HNv/quc7AHaakf3vrUvyA2xTNzdynxK0WWhmRBCCCGEyCC/uPl/+PnV36KovIDvDRvmdTn/P3t3Hi93Vd9//HXO9zvb3ffsCWQjQNgFFBBQ6gLWBXetVdBSrSJFrQXrviBYtfVn+/u5lFatbd21WrdiFQvuIJuGAGHJSnL3bbbvcs75/fH9ztx7ScAEkszc3M+Tx2TmfjMz38+9JJM77/s5n3NE0DjWLF/GXX9zCSd++PONLmdeumoYXvauhRUODQ6diM5sXJDB0G9+U2JyvJWLX/PSRpcijmBNFQ4lsVAaESVrzHBOp7uVJUO3knscPO4Roc6jRzwq7Q7SaJWEQZ7y0qhobjQkP1QSQgghhDhyXPPRzwPwr//0Ll7c09fYYo4QWQdLjlnd6DLmtd4F9KajXO5mcOQC1q5uaXQph92NN5bpaDuJS17zx40uRRzhmiocgtm9Q4BSKKfQniJXyONnPXTGR2uF0gqtPZRWeBkPpXVyXGm8rA/pjCC85LjnJwmzNQ6cw0QGYx0OizMOG8dY63DWYo3BWTBxjDMW4wDrCCsBcTkAq5K2IWZ3FJFubi+EEEIIIY5ET3/ma/jSDZ/nFT39jS7liNCqPO5/9UWs/dfvN7qUeWlr0OgKDp+t21/A6lULM5jdM1Tl7Kec3egyxALQVOHQzKjnJB7SKMhmWX7sSvItObyMJtuSRXk+2vfwM+kll8XP+OiMh+dpMoUsnqfxfB8v46E9jZ/LAGCMwcWWqBph4hhjLCY2RNUIGxniKMYYg40NQTnERAZnI6LIEpVDgnLAzs3bsZGpB1koUE56h4QQQgghjmTLV61jzbrz+PK9N/HyvoX5RvVgy5x7Gg/vHGLpT25tdCnzzkcX0FuO1rZV6CabQ3u45LJZOhbq1mzisGq6BZszAVHy6ynnnEJLLo+Ph+d8lPHwjMaLFV6kUCF4IajAosoWyhZXNNiSwUxHxJMB4XhAdahEdahEOFIlHA8w0xG2ZHBFgytZVNmgAosOqV+8WOFZjYp9MtYjg0dLLs8p55wCLn01VnsvLJP5Q0IIIYQQR6bzz38mr339h7hBL+bL48Ps0PJ93xPRn83TecnF3PKxKxpdyrxzfBFeeVGjqzj07rnvRfT3ZRpdxmF3zz2O66/fxate8S607PAnDoOm+1Pm6heLcxZrbdLJY12y3Cu2WGNxprYcLOn8sVF6P2OIg5ioGhFWI8JKTFQJCdNLlF7CakRUjYiDGBukHUSRSZ8rxsTJ8jJrDBiTnM86jDEYa1GewuJmQiJAtrIXQgghhFgYXnDxy3nK2a/k67fcwbAzTMq3gY+bAlYO9HPvG17Q6FLmHXWE/7kbnzgapdY1uozDbmTEcfvtY1xx+UcbXYpYQJpqWVliZk8yl84GssaiXAx42NjUEyTn4qSzB4XzHSrWWE/hZWwyg0hprKrNB1Kznp9ktpCzOGtxFuIooqwjprNlWsMsfqiwsa2HUcaYei02iskW8gTFMrXVZC5teDrCX5+FEEIIIUTq2GOP550f/hzvfceltHW3s3agl2e1y/KPx6MdTem0jcB/NrqUeaWl0ugKDq2Htj2b9WvbG13GYTUy4vj2f+7hzZd/pNGliAWmCcOhGocF4jjCxhY8i8PhaQ+sA2txnofzNDiwxqKVQnsaG9t0aLXG4VB67lbzDgcWrE26gay1xMYw3D5OWVWJaaEzymHDOAmGbNKdZNKh1XEUk2/JUi2WmTtfaAEt/BVCCCGEEAC8/9rPAfDx694BEg49botzBSrd7RTGpxtdyrzxN7fCy86H//gxeEfYTJ7de06kq2tgQc0a2rYNbrppSIIh0RBNFw6l+4elG9ZbShMloihCa43n+djIprc9tAcjnVV6i61kyYBWaK3RnpcMiVag0s6huX1DSeeQcw6cwmDYPrAHj4gwNIyHIbmpjmSJmbFYm+xsFgUh1lpsZGnraGdicLzeOZQ0DikkIBJCCCGEWJjedvW1fOJv38nKgQzPbu9qdDnz0o5r30TfJ79Kz90PNrqUeeFoAy/ZCZ//R3jdXza6moPnzk1/xpqjjqZzgf01Gp9wZDNLG12GWKCacuaQSm84ICgHxGFEHMbEQYQJYuLQEAURURBTiSvsyY8RByG2GmGqIXE1IK7OzBeKygFhOSAsh0S1SyUkrkSUoxLbW0bw/Yg4CjFxyHRcJQoi4iAiDg1xYJJzhzEmiAjKVbLZLE4lYZaTQEgIIYQQQgBX/vU13HbvHm6bGm10KfPS0pZ2HnzNApiyfBC9eDf87CNw222NruTgGehfmLuTaWXJZnONLkMsUE0XDtUkc54dYRAQhzEmjImikDCMiIIwCYeqMWVTRfXDzs4xRilSrVaTwdPlIA2HAuIgCYviakBUDYiqVcaYYk/bOKNLp8n1OaKgShSFxHFEEFYJomRgdVQNiIKQuJqEQ3EUEwYBXkZTn19U37lszpUQQgghhFiAPnTtp7lx6zQ/KE81upR5RwP9A/1sf87ZjS5lXtkwDT/9aaOrODiGRo6js6Np36YeUqMTiiAIGl2GWKCa6m+dm9mnDNKFZXE1JA7iJCAKDHE1TrqCqiFREFKOK/R0aHrW5AmOCtnRNsZ0VCayEdnlBdpO76XtrH78dS2M+FPsyA/zUPsImeNydB3TQkuHxoRFwjAkjmPiKKIapzubpSFUHBhsZIjCmCiIiaohvvbrNdeqfeTSNSGEEEIIsTC9+/2fYNHABv67OMk0MCw/Pdxv/Z5P8bzTqHYvrEHET8RVFq79AFjb6EqemGrQwcN7ntXoMhri97+PGNyV4bWXvrnRpYgFqulmDs2mtCIMYrTWWJ0MmcY6rFZorTBKMR1V8Pwsra1t9PZmYA08sHWEjuU9HH/yiWw45lj6+vr5xS9vpn3rVsJKkc72Nvbs3snI6DCVchljHHEYEhtLbGOKscJWY5xJBlAnQ6sdcRglM4esJQziZJ4RAG5Oyib/9gshhBBCiHOe9VL+9pqreIghHI4zVy/n1GxLo8uaFzqXDLDrmWew5is/bnQp88b9EVx8Nnz7l42u5PHbfO/LWbO6r9FlHHaDg/Cr34xyxRuva3QpYgFrqnBopgsnGUjd1tFOOBVyV3A30/0xazcey6bNv8eNhHTZVk4tHMfqC1byJ5dczp49exgfH+emm/6Xs84+jfXrj6Gzs4s4NkxPF/nMZ/6Zo45axQknHMs9m+9kYmQPxljidJv6MAyJjCEIDdGkZnqyiI7T3cxwKKcwLp6ZhVSq0NrRTnWqkg6irg2jVhIOCSGEEEIIAP76nXN3Hfr7T1xHR+s0Z/b1kwWWz/NOj0Ol2ynG/vh8tlZDjvr2zY0uZ17oBN45T+d4l8rdPPjQpRyzvrfRpRx2QRW+9709EgyJhmuqZWXArOHOjlwuy+bofqYWx7z/bz/I5/7ls2zYeAJtR/ezXQ3xP5VfMjDQx8MPP8xNN93M0PAoN//8VyitiaKQLVu28OCDD1IoFBgem+QrX/ka09NFlPIIo4gwCoiigDAK6rOMqtUQqjFRHCS7lVkLdmaukMOx1ewijg25fBbSpXD1xWSq/osQQgghhBBzvOXKq1mz7jz+7We38V93bGKXMY0uqWn1OM3Yeac0uox55Ywi/OpXja7iwG3bfiFLly28YCiK4KtfH+RyCYZEE2iyzqG0+8YlYUsml2MoHOWUU8/m1FNOpb29HT+TJZfLs2j5UibHx7h70+858/Qz+MUvfsE9995Lb08XU5PjTE51ohS8733vY+mKVYyOjWKNoVQuUpwaJYoCjLXJVvXGYkyMtZYotmSqmXpEpVBzZggppfGcxkQR2XyuXrnDodAo3KzlZkIIIYQQQsx1/vnP5PzznwnANe9+HS856TiWqwW4NdN+GOjrb3QJ804UNbqCAzM8sp5M5igK+UZXcvj957dHef2fXdvoMoQAmrBzqMYB+ZY8VUKGhoa55757eWjbNibGx4njiDiOKRQK/P53dzM4uJPnPu9CXvzC53L+U09neHAnux9+GGtjLrjgXIpTY/R1tfOsZ11AeXqCSml65iQOrJvp/bFGUahm8K1OF4glQU/tV+egVRWIw5h8S2FuwSmJhoQQQgghxP545wf/mS/fuZnblWxpsi89aKrdbY0uY16Zb0Opd+95OkuXLsxZXJMTQbJSRYgm0FSdQ6T7lLm0c6irt4szW0/kxttu4WMf/Rhjk5NUyiWq1YA4iujs6MDhuP2XP0LpNMpRiqAIo7u3gefhZwqcetI6psdHCMMpdj44ynSxQj6fSTqG0gHT1lqqocWv5GiN8nh44AEu6QhCOTyncTj6/B6qpSqrejvZ7hxOgVOuHiCp5s3chBBCCCFEk3nPB68H4O1vvYRXn30ia+R7yTkeuPpS1r//ejLlSqNLmRcG/hie2w/TrfC9X0Fra6MrenS7B09i7doVjS6jIe68C664/G8bXYYQdU37L4/SyXKudq+NVWoJOx/aTmu+QKlYIgpDPM8jl8+R8XW6BX1MHBuiOE4uUURQqVCcHGViaBdBtYyJY4yzTExNY6MwCYVMshOZMY4ogkw5SyHKJmGTUiitQClQ6ZdKJQGUUkkX0ZyagZmx2kIIIYQQQuy/1s7F/L5a4oapceJGF9NEOpcMsPPCMxtdxrxxrIWvD0K+2txLzErlHkZGLmh0GQ0TBDJvTDSXpgqHZkY+Q76QJ6wG5HSOYzOraRvPMDE4wuJFi+jv62PJksV4SpHPKqLYpJeYODKEYZwMmI5iojAmCCNK5SrjE0X27BkhHHuYxeV7KVQH8aNJVFwliByumKGjkkM5sCrpYiINiJRyKK1RKlluphSEQTCn5oTsViaEEEIIIQ7c+957HVOlLkbdYr6wezfxI38SuUD1oJk4+2TCtoW59OjxyAGbx5t7idm27c/n6KMW3hBqgF27LHfduafRZQgxR5MtK6vN/nFkslnCaggKOjMdHKfXsGtsiAldRfuOUjgNyrB6ZR/GJK96Kt0pzLpkuVgcGaIophqEjIxNUi4FhGGFjf2KdV1V2lqLTJuArZOwaboFr9xLNvAwWLRT+FqnA6nTYdPKpfOJHChFVI3qfUIu2cU+3axM4iEhhBBCCHHgXv/nb67f/odPvI1LV6xorp/mNkh/by97nn4aK78j29rvr493wbe+CK/7y0ZXsrcdu55Ca9sq9AKcw75zp+V//3eUKy7/aKNLEWKOpvq3ZvaCrFw+hwnjZFmXVnRk2jmmcDRHTwywbKiXFRP99GcGqAQesbVo7eF5GbTnzyz3UqC1Ipvx6epsY+mSXo5atZy4YyWbJ1sZLQWs6dFcfHyes5eUWd65k3zPHnSXxWUVTjnQDq1VsqpMK5RXW2qmicN4VpfQTPUSDQkhhBBCiCfqzVd+nC/t3k0Trww6bHqUZuT8U4laF+CWVo/Ti3fDzz7S6Cr2Vg3aGB1/Mv19mUaXctjt2GH58f8Mcdnrrml0KULspWk6h1wtXLHJdaGtlUqxgqdU0r2jwFc+/aoPQ0xkY8ywwQ0bHn6gyFRHSFxwdLRlWLOin7aWPNlcHs/zsNZRLpUIw4AgCgmrAVumVnDrDkNwPywJR3nRxlH+6I8GuLn7OfT0LWViZJx7r78dVXZopevLx7RLQiMHVIvletdQ7djsvc2EEEIIIYR4IjYeeyY/3nEXz27vanQpDbehb4C7PvR6TnvL/2l0KfPG2qlGV7C3bdsvZ/3a9kaX0RC7dh7HX7zhrY0uQ4h9appwqCZdpEU2m6Fiiqh0GLSGdBg0aKXx8HDOYRy0hTn8IUVZB5Taqtw58TCe78jlfHL5DK1tObK+JggiwjCmEkRMjMWowJIdc5RcPz/3M9ztell8eobe3n4GBhYTvqLC5u9uojg0TsUGLNH9ZHUGlYZBxhhmOoYkEBJCCCGEEAfXUy54IW9/63d49tknN7qUptDX3dPoEuaVoxtdwD4sW7owgyGADcdsbHQJQjyqpguHanzfw8QmWcLlXDrmWeFpBU6hlcZXHspBlixKabRVZKYiSpNlIs8SZCrojMdoTuOUToZLW4sKHflJR5YMWZ0lr7MUh/rID3Qxds8wvxu8nWXHrMDlfX48+HNOOOEErM3ym1/exSntx9HmF9BKYeKY2pQkAIcFFuDCWSGEEEIIcci0di5udAlNo1/7DD5pAzp69J2eVGzJVKvoMEKHMV4Y4UUxmWLlMFbaHF7p4KrL4CP/1OhKEtt3nkVfX6OrOPxMDD/84TgvefHyRpcixKNqmnBozvbvWqG1xhqLrk95BpRDo0FpFBZrFUp5OAWeU2SUR56YjPEx1hBXDbZiMFggCZg0Hlp55L0cGeXhax8/vS5urlK5ZyeF3jzTW8a5efdvqFarnHbaaWit+cwdd3BH8W6e0nUqvkrqQ2uwtc+hRrqIhBBCCCHEwfG+917HPV/7ONr3WW5lB7OpN74MxaN/HZSxRHGEMQZrHdY6/GqIHZ8kv3uEwo5BCsMTtOweAQeqNrDUOZR1qHRuhEpHXijn0o9n7oOrHQesberv/r/zQ2iG0UPVoJ1i6UkLMhwqlmH3YLnRZQjxmJooHAKLw+Joa2slKAfodLcwla7acoB24CkAD+v5ZJ3DkEmXmDkclnZnsDicm93Rk1DpDG5P6SQqUgqlNJ7SeGg0CjUJpbvG8aYiqlNlrr32WpRS5PN5duVitoTbWZ1fTk5naGtrpTRVSoZXp3U21ZRvIYQQQggx7214ydsA+NZ/fApnR3h2YeEuzVnmZx/7Dj6QK+x9fOkSOH7mQ/eI6yfKAk4l1zEQK4dRiqoxFMcnqBpDZqpE+4MP03rfdno3PUR2unSQzv7oNo/B89fBP/4EVqw45Kfbp7HxoxkeeRlHrVp4f2433e144D7DFW+S3clEc2uacChJf5KXZj+XIY5NvQHHKdKuH+Y05Xgkw6E9p7EKMiThkHEeoLC15V4OaslNbZd5Lx1glMZPyXXtN5VGOcsxbWuZjsvcV95KYAIqlQpRFDHROkGYXUTWz+DnMtSTK1ULo4QQQgghhDj4Ln7lX/DpT36QGzvGeVp7d6PLEbNoAJcMmchA8iYGAA+6ewGI+yFYu5rpP4rYNDpObCz5kQnyg2N037KZ1t0jFEYnD3ptrggPPti4cOjBbRexYd3CC4YAqhVHpSq77Inm10ThUNLd43D4XgZjknlDytb2/6oFO7UXWVc/7pTCq0cyHrreMTQzD2guVZ9hpGt5EHrWfZPgqNXPc3r3SbR4eTYV76cYl4jjmKmoSNVWadeteJ4/d0mcEEIIIYQQh9Abrng3//Dxd/O0hflee17zHfjO0YrP4t5+HBAuWkS4EabOPpldpRKmWKFj81b6f3EXufFp8uPTT/i8Xy3B0/8CfnH3E/8cDtSOnWcx0LcIvQBHs5oY7rxzkMvf2AwL+4R4bE0UDoFL0/WM72OtQ2mNmjVyCKeZnQ85RxrxzDoIaFXrGnr01b96r99zj7idnLhVFzi1eyNL84v4zz0/wuEomjIVW0VrRcb36rXUOpyEEEIIIYQ4lN78tg/yzc+9j2d3yBb385kCci65tGcLLM4WMD0wvWoFu886kWoYoUpVsoOjdNy1haU/vf1xvdvIG3j7DvjAW+E9f3ewP4vHNjZxBuvWLsBkCPj2d8e59DXvbnQZQuyXpgqH0pW6+JkMURQnnUIq3a1M1Zad1adTo9WslOgRvCcQ0tRCnlpHkO/5LG9dwjn9p3Hb+N1UbcC0KaGUws9kmNnOPq1M8iEhhBBCCHGIPTQY8FM1zvmyvOyI4jnoctDV1pkc6IHKyuVMnX4itzz/XNof3E3XHffSec82WoYn9vt5lYXpkUNU9GNYtGiAhTh44wc/LFEqhlhr//CdhWgCTRMO1V8ulCKfzxFUq8nW8w6U9pi9jGyvjqCDnMbMxE8zS9iccpzcfTwnd28kshFj4VRaaz4NsEjHaS+8Fz4hhBBCCHH4ve3qawG46u2v47zjl0tIdAQrOCigWNQ7AL0DcPpJADxoIiYmJ2l5YBd9/3s7fXdtedTneAHwgm/A938NF9176GsenziaweEXs3LFwnp/5Jzjxz+u8KIXvLPRpQhxQJpmYy2X7imWyWQwJh0ejcapWaGLApTDKYtTNhkAXcuKDsHlkedJdlOzeNqjP9eNQmOMI5PJ1HuHJBwSQgghhBCH00c++s8E2cWNLkM0wGIvw4aePnrPOImpN7+MW657E+4P/OD8op1w222Htq5iqZeh4eexcsXCW/aolKJSCRtdhhAHrGnCoRrfz2CNoR6zKHDpEi+Lxapk2ZdLwxqXRjaH5FI7jwKbLnmrzSJSOvnIGoPvpzuWCSGEEEII0QAXv/Iv+OnkGL8lJm50MeKwa3WwOFfg2GXLuOvDb2TLn17IxLrlj3r/m246tPXcc98rWbZs4NCepEndckuJZUvPaHQZQhywpllWlnD4WY2xJt350SXXyibDp9MuouSuDpduP38oYpmk/8fOLFlLRx4pZQGVjj+yGGvwsx6U0zsJIYQQQgjRALfvcYxvfoA7VnXwiiVLKCnol6b2BUU7x7plS5lcsZTBs07ivnKZdZ/+Ft1bdsy5X3wIE8T7tlzMihUD6KZrQzj0Jqfgd3cXufz1FzW6FCEOWJOFQ2AdVMMA5SsKfR5nvH0xmVwGpTRae/iZDAqN9jy00mit8bwsWicfK+Xhe35yH+2hlE53PUsn5Lu0B8nEWGuS29ZgbIx1yW1nDdYZYhNjTXIfZwxRHOGcJQoiJreWufdbk1R2VjE2WVCGS8MsIYQQQgghDrN3/s0H53zcB9z7letY4ecbU5BomE4Lna3trGhth3e/gTIw4cHU5CTF6TKd+a8Dew76ee/a9FbWruk96M87H0xOOb7y5Z1cecXHG12KEI9L04RDOh30UymVyOR9upe0ctqV/cTWYasGpRxaQxxqtHIoBVo7lLL4vgfYNCwyaG3RykNpg1IeGo32kh+bOGtxzmJchLMW6wzWOayJsC5ZOmZtEhwZY3DOYF3ymNgYnLNY5+hYleeMv8xzw1seolwsotDJAG1kO3shhBBCCNEcfheGEg4JALpMsgOabetkvPvV3HbnNL09m+ho30Z317aDco7VRy3MYAjg/i3Q2rKi0WUI8bg1TTgEgHKY2DA6Msbxf96O0TG+zqN0EvAo7eFplYZAJB1BaLRKBn+hVBIGKZV+DEqlXT2Y+jnqO58plYZS4LTCcwrnHGhN8nQGazXKOZzTgIdFoS0YG4OKGR0Zw7O156p/Iof1yyaEEEIIIcS++LKsTDyCBnK2k/Vru5icWs7gcJHh4bvp7f0dvT0PPu7nfWjb+SxadPDqnG8eeGiCF158eaPLEOJxa5pwqLY/GUphogh6iuzYMYUzGoeuhz6e5yddQekSMq01nvLQykueQWk87aOUVw+Mkr4kVT9PsgTM4JxLO4Mc1kaAw7p0qZlz3FbeTkeUY3muHUetg8ig0uHUynPY2OB5GRQqmYGUDs8WQgghhBCi0aqHcriMmLeOm4I7b3WcciZ0d7cxXTyd0bHjuf+hEn09m+jv20RH++79fr7p4iLKlScdwoqb39lnvpTe3v5GlyHE49Y04VBtB3lI8pxci4exCjwN6KQzR3v14Eej6jOFvHTGUBIYadAeiqTDCKXnLPVyaQzlnE7CHjw8Z3HWxzmLQzEalbk3GmKyFDHgt1EtRxTafHzP4VwSQjks9ezpEfULIYQQQgjRDManfW5hhNM7+xpdimgi2kGxNPNxe5uiva2V5ctbmZgcYOfuU8mN3EFX5wN0dW7H86LHfL77H3w+a1Z3H+Kqm9dvbzWceMLSRpchxBPSNOEQadeNcgqNJpfXmNClAZBCp91BWnso7aF0bQmZxvO8NARKwiGddg0plcZCSs05DyQ7j7l0GZlD85Pig1RcMnfIeQYbO/AtHSpHrqBob/NBqaSzyKn0YpPlbm5m1zTFzFI1IYQQQgghGukv/vI9ALzvXZfz7Cet5UTT4IJEU1BAS3bfv9fVCV2dncB5wHkEEUyPw7btg/R1/46+vrvpaB8EYMeuc1D6bI5Z33G4Sm8q3/zWOGed+Sc89Zz1jS5FiCesacKh2pIy5ZJr7SUDpz0P0AoPkjlDHulAaoVSDqXT4wrA1YdUz4lq1N7LvGrDp7cEw2yLx6nqCKfSYdWxJS4afJUMsvayGt9XtUlFYB3GgbIuHUJdayGa3Z0khBBCCCFEc3B+K5GzwALcX1zsRQHBYzcDzdHeBscfu4jJyUXs3nMa23YMs2zJzVj7NPp7F97AcxPD9384xrnnXMLKFasbXY4QB0VT/euQ9v6g0fgZhZ/TZHKKTFaRyWsyeU0u75HLa7Lp7UJOk8tpcjlFLqfJZhXZrCab02SzGj8Lvq/w0oufSS65nEfRC9imJ4gyMS5rcTmLy1ps0eGyjrZMhmzeo6MjQ7bFS2rIKjI5RTab1Jf8p+oXIYQQQgghms373/cRbrzt7kaXIZpEFjg2hAc27f9jlIKuLlixopvly9YzOvoK+vsXXjAEUCzD4GBFgiFxRGmicGhut41zFmsN1lpwJtly3ppkm/l0MLR1McZFWBelxyOMjYmikFK5QrlcxYYhmYyhkHd4xIRhwNRUmUpQpd1pnu6tZCAoENqQ0ITEYzGhCQnjkHaTAQzas0CMdSapxdZqk75cIYQQQggxP/zJJVc1ugTRRLpjGN8F4+MH/thcDpYuKxz8ouaJ7dsjCoXORpchxEHVNMvKZlOAsQGxsShlcc5DOYtTMQ6DdsnuY0pplFZom8FZRxg6BnrybNzYR21E9Jb7JvifG7bR3pFj5ao2zjt/HQqNdSWmi1XuvHOYbcEQJVclGk12MDPOYp2lX/eBCnBAFDusNTibBFXGWqyV5WNCCCGEEGJ+WLNmHV/44R5evHix9LsLIOkGsvbxPnbh/im6+/cFLnvt2xtnLEnfAAAgAElEQVRdhhAHVRN1Ds1lncXaCGMNxsZYU+sOijE2vbgIaw1hGBBFMSed0MnxG7twGByGqWKZ737nfroHfBYtzzIyXmTz3bvxdBee7qC9zcMdFTLpFSkPhoQmwhlDGIdEcYixSdeQc3HSqWSi9Ny1LqYDWKgrhBBCCCFEg923c5BtTfsOQBxuySY9ja5ifqlW4dJLLm90GUIcdE37T4NzJglkbLKcqxYKWRPjTBISWWeJTYzGcOYZPXR3eTji9BLxw+8+QEe3R3evR77F0dnjcfe9u6hUp1Aqz7bpCb646XYCExCaKlEYcYZZwga6iWyItRHZrMOSBEHJOdOabBIYCSGEEEIIMV/4LtnGXAiAfH1jH7E/whC+8a2hRpchxCHRlOGQIwmHjI2x1mBM0iGUBDNR2jEUY+OQKAw488x+clmSjiEX4VzM1q2jPHD/GN19Hn7O4ojxfEMub/jVr++iFMX8n9/+nGJUYZXXSsZ3nFDqIawGbOjp4uRCP5YYnbE4G2HSmUe1WmrdS0IIIYQQQswXkbFkGl2EaBqSE+6/IFB85SuDXHbphxtdihCHRFPOHAIwtkJkkqBHKYXRHlprrPZQWuOco1oxnH7qUlqyy4ntCIap+vrp//jXu1i5rouWdoNzVcJ0BVg2D3tGd/PS/7qGVp2DEfh1aSv/9aaLwTl+d8cwv/7tEMct60yCIBdiY4t1DmOSsCqZS5RcQ26v2pWs4hZCCCGEEE3owx/9AgCf/Lu3cumqlXgNrkc0loxQ3T833FBi0cC5vP6ypza6FCEOmabsHAJwzmFtjLERxsUYG6bdOhFxHBIGEd0dWVYuX4xSPpYKuAjnIgZ3TxPEEdmswRFjTJQ8T9p1dLfbQ2QCOkutDE5OcOLyXnAxYNh4cje4iMmJIn4WrA3Tx4bJxaU1mWRp2T5rlwxeCCGEEEI0sSve+nd8efduZILmwubLz7T3SxDE9Pb2NboMIQ6ppg2Haotfky3t0wHUJsSYiNiElMtlTti4CE/14jBAkM4aMtx1525a2sDLWoxLQyGTXHZH4/w0vJ81ehGbdj1EV2uBq551Tn1OEcSc+9QBBh+extiQuPbYtIZk1pBFmjCFEEIIIcR8NlWpEko4sKBV5S3Nflm+7AzWrzu20WUIcUg1bTi0979TDofF2IgojujtytHftwRFFmtLWBvWA5677x4l3+JQKplRFKehUtUEfHH0NkJT4Tf33Yd1Mdc87+V0FzqTx7rksnZ9O762mDhKd0yL0i4hefUUQgghhBBHCK1kp6oFTnYr+8Mmp+Dssy5sdBlCHHJNGw492tgeB0ShYenSdrRqBaWwrogjxLkIXMzkZBHfd6BmlpPFNuTzI7cwbUoE1YggCrjy6Rdx3OIVKPLJIOs0XHLEHLUmTxjF6Vyh/SevrUIIIYQQYj5QYYSWzqEFTXYr+8PGRm2jSxDisGiKcKj36H7a13fPOaYe5VXKWofnKU48/jg0eUDhsJBeHIaJsTKeny5HMyHGhLx3xw1srQ4T7Agp7qjwDxdcxEtOOxOUQ6lM/fHpXmk854+PpjgVYf9AODS7yshFvOxzlz3ur4MQQgghhBCHywXP+TO+NZahKDvwLlhVK51Dj2Zq2nL99Q9z/LFvbXQpQhwWTREOeRmfP/n7y6ja6l6dN440gHEKlf5mSy4DSjMTzcxNc6uxRXszsU3VxLgY1Kgmqib3NbGa9fh9vyKGgUleLOt3S/Yhm33v2u3ABqx9xnH0Lu/dr89ZCCGEEEKIRjrpxFO47M/exHcnJhpdimiQjJLOoUfzgx9Oculr3tXoMoQ4bJoiHALwsj4XveNFmLzBYVHpC1XtxUqlWY51jkLOn/NYx9yfduSyGs9XyWen4NMP3QolRThsIYYNrp84NumDHdZV91mTMbaeCynm1qK0QimwWMJMxDP/6vk896qXHpSvhRBCCCGEEIdLUNn398LiyCe7lT06a2OqVfm7IRaOpgmHAE74o1N5zl+/hLKtYh3UW3ZqO5cBWMgX/HTeUFK+VgVmL/DyfYWnky6fX+7ZyUS5SrwdiKDHFTi9sISZnh+Lc+V91mNNep991FL7tWKrPPcdL+PkC09/wp+/EEIIIYQQh9vTn3kJX9uzp9FliAYoyTidvTgHX/naOM942uvo7x9odDlCHDb+H77L4WHCmI9d+D58fNp0Czrt+lFKJX9DVRL2KE8xMRHOeaynuonVKM4lO4pFkaMYRFz/698y5QJ6Sq0Ug4ALl6+nv7eFvkUFurtaAItx08RudJ81eTppV1K1nRwc4BxKqWRQtYJW3cJ/f+CbfI+vcuwzT+S5V70U9WjTtIUQQgghhGgyx2zYyDEbruMLX/gs/d4w5xdaG12SOEzOiGD3r4GLGl1J8/jNLSFLFh3DypWrG12KEIdVU3QOmSjm39/yT+R1bmamj3MzS7rSbRRUGhBVggjriuCSpWEKD61aUemnk8lqvve7+5gsBrRP5RneXebJvSvpas/R1Z3Hz2jy+QyOGOPGk13O9sHPenuNJarVMnsUEUBO57j/R3czunPfQZMQQgghhBDNLJPJUoplOPVC48tA6jnu2Vzk2c98ZaPLEOKwa4pwaGTbMBP3jTzmfVQtNVKKyfEKQTiCpZoe9PBUO+ABMFwqsX3PJMt1O8e1LuKFZ53AxU8/meOOWU5nexuTIwGZTAbnAqybZl8DqaenA7JZD029cWnOsDb1iGuAjMrw72/8NE42tBdCCCGEEPPMK195CQ9s2dXoMsRhJivL5jpm/VmNLkGIhmiKZWXKgodHjKkfq4/5qacvChR4CrTvseX+hzn+2A6UzqBUFkUBpXyci3j6eSt59dHHMzYUce8Do0wMV+jraWftujV0tHfhnGFiehjrptOuob3DnJ/fvJtMToNSaJ1u8ejShKoeVO39ufgV7+B+cYQQQgghhDhMrr7ms/zsSx/m1GxLo0sRh0lTdAs0iSCAM884p9FlCNEQzfta4NJ5Qzwyg1EUWjweenCc2I1i7Eh61Eelg6mzWvOOq/+X9153I9/+73twZfjBj27nmuu+xEPbHkCrDN0d/RhXxM0KpGb7+c2D5PKa2sijmbOn11ols4ce8TiZNiSEEEIIIeazH/z2Xm4L971hizjyyPuXRBAovvGNQVpb2xpdihAN0RSdQ4+koD4AOsmHVH0rewXkW3xGJyN+8L0tPPuiEEuAVi04VwEc55+3jPd/4OeccdYynnTyEvqXtlAo+ESR4fa77mTJ8tr997014af+8fe0dWbIZj2UUlibDKFGOZxTqNrCsUdZPSYDqYUQQgghxHx1zce+AMCH3vFann3CWo7LSRfRkWzfPypfOMIQ7rgDttznuOzPrm10OUI0TBN1Ds0EKi79tTbjpzbDRzmVDoRW5Fs8tu2aYnSkjLHDRGYHNg2H+voLnHL8AKuXd9Hdm6el4KEVeCrZ4t65KsaO49h7Sdlvbx3i3nsmGFjSCiS7lCW7lbm5tTB3BtFsMnNICCGEEELMd++69l+44b5tDMvPPY9oTfSGsCG+9Z8j3HXXw5z1lKc1uhQhGqqJOof2DlQcoKknRDjPoRxoT5FRmq7uPN/+zlZe+9pjeWTm/bwXrOO+BybJFnQ6TZpZM4xq+9LPVZyO+LfP38uaYzrp6Mmi0ldKl3YOOevqXUFOIiAhhBBCCHGEC6oBgVZg5DtfceQpFhWXvvpDjS5DiKbQvEFxbev49BeXrOqqHUFrRaHFx8/s+1O48DkriUNHVLX1rp/HYp3jM//39/QtKTCwtI1cdvbzJrOF3KylbbI6VwghhBBCHOlim3yfLI5cC3W3Mmvhq1/d3egyhGgaTdQ5NFdtMzCnku4hp5NOHWcde4aL/Op3O/nd1iFiY/nEf/yGs49eznUfPYfW1gwArW1Z/uZdp/JPn9lEuZyht79AtRSy8UmL9jrX0J4K/+9Tv2P1+k66evL4GZ0ESk5hnas3GykNyiqsmjm2LzJzSAghhBBCHAkyWlOxBpAdeY9UC/X/7I03FTnphGc0ugwhmkYTdw7NLNuyyuEsRKHls9/+LZ/69q3c/uAeYmtBQUeY5eafbecVL/keN924s/4Uvq951auPoas1SxQYTn/SIo4+qmOvU/2/T97JumO76OrNz+pEUlhjcNYCCp1uX2+Vq5X3aLvZy4IzIYQQQghxRHjfdf/Cf92xudFliENooXYOhVWFsQt9HLcQM/5gOKSUOkYpdcesy5RS6kqlVI9S6kdKqS3pdXd6f6WU+qRS6n6l1F1KqVMfT2EuHRCkXLKczBjHnfcMUq0atJpb9uREFeWDl9X89Kbd/OzmhymVIwDa27Nc/KLVvOgFq/cZDAFk8z5tHVl8T9c7gqLIkPF9gooFbLqcbKae2i5qQgghhBBCHMne88HrGZM30Ueshfhj7dGR5P2mtQs1GhNib39wWZlz7l7gZACllAfsAr4FXA382Dl3nVLq6vTjq4ALgXXp5UzgU+n14+KS8+J7cPJxi9l49ADF6ZDdY0UGJ0sMDRW558ERUNDbX2DN+i5+e/sIP/6fnfT25OnpydPVmaGrJ8/4aIX2jiznPm35nHPkcx7WJgEUQBxbTGR4eE+VTFZTyPsoT+FU0itUm2GkJRsSQgghhBALwBfv3sKrjltHr16oi5COXM27lOTQ2LHD8vNfDFOcNpz95BMaXY4QTeNAZw5dADzgnNumlHo+cH56/AvAT0nCoecD/+qSBOVXSqkupdQS59wBT/tSkG5d70Arsp4i42sKbT59S1o4EaiUIz58y88A6O1poaUjw6rODIuWtlIpRYyXQobGqgSbJ8A5li1t3es8J5/Sx7aHi1inyGY1i/oLnP20pVz34dtZf1w3TjkstVTd1be2ry0tE0IIIYQQ4kj2jvd+muve+VqecepGjl1wcYI4UmzfYfjhD3Zz5RUfa3QpQjSdAw2HXg58Kb29aFbgsweoTXpeBuyY9Zid6bEDC4fSpVu1zRH07Nu6vmUYLS0ZCnmfSjVmw3G9+L5Ga0Wm06O9MzvzdA5MbAmre7fEPv2ZK/Y6tvvhEktWtCXPoVS9HjsrDVLSOSSEEEIIIRaIq6/5FwA+8p7LePNJxze4GiEO3LLFl3HlFfseNSLEQrffsb9SKgs8D/jaI38v7RI6oCYapdSfK6VuVUrdWrXBXr+fPJmq35o9ANq5mYvyFBtPWERLIZMMlPaS4dGPvHgafE9RrcTcfvvwY9Y2Nlbh49feQV9/Ac/TaDU3qJqpRNIhIYQQQgixsFz1gX9il5MZREeKhfSOplqtNroEIZrWgfSEXgjc5pwbTD8eVEotAUivh9Lju4DZrTjL02NzOOc+65x7knPuSXmd23v7d+dwOJRSKKWSHcBcOk1fU38Vcw5OPGER/f2taK3mBEePvKAUrR0ZfvmbIYJg7+FjpWLEl754Hx98760MrGgh3+qjfYUl6RiaU4+TXcmEEEIIIcTC9KU7N7PLSEB0JFgII5mdg698bZz+/oFGlyJE0zqQZWWvYGZJGcB3gNcA16XX3551/HKl1JdJBlFPHui8ITXr2jqHVqoeHiWdQ2kok1719OY597xVyXKzx3peBdmsx8DiFj7xsdvJ5X26OnPkcpp77hmnVIzo7Muz4cReuntyabdQsm9acuLk+a1z6e5l+07a9wq6hBBCCCGEOIK854PX86F3vo5LTj6OHhlSPa8thB93b90KoyOlRpchRFPbr3BIKdUKPAN4/azD1wFfVUq9DtgGvDQ9/n3gIuB+oAxcur/FaBRWa5R1TPweCmsM1sysJ0uuVLq8a+ZlrL07R1tXDhQY+4df3nJ5j2NP68PZpPvHOTjl7MXpAGySs9Q7k1Q9pKptc69ROMDzFAqN0joNhJIHSUeREEIIIYQ40r3rmn8G4MPveh0vPPUEVsq3wPPSkT5e/I47AjZtCvmrt8gQaiEey36FQ865EtD7iGOjJLuXPfK+DnjT4ytHpcGLYstXFade7RGpGEsS2vi+h1Izw6hxyW3tze4qSgdFq9qx5D4zYU+9zvqB+iyj2tOaWrwz06GkncPEBmeTF1DP1yjjodOapVtICCGEEEIsRHumHWMaVh6mVWb3p2mGR/JDWYvCRxGn37vngeULYa3UQXIkf6nuvCvi/i1w2eve3ehShGh6B7pb2SGjZvXeKK0p7YTffEBz+vt8/ILDy2RmJT/Ul3WhVP165krNLAdj5v51aedRMoYoiYXqw6bdTN+Pm71XvQNUBhNFxBXF5D2Ke/6t1jWUPL2WgEgIIYQQQiwwb33Lu/jJj/6F43v6yBzic+1xhn+/+XYAsp5P7CzWWjJ+hiiOAOhry/OmkzYe4kqOHEdy59ADW+DVf3pVo8sQYl5omnAokSzT0licgsoQ/PANIX3L+2jpbMdYSzbjozyN8jRaeax/4QmsWr2qPigaqF/vL5fOEHLpEGxjDLu27WTzN+7AGYszFmMMoChPFhnZOUxWZfCVJqeTmhfWnH8hhBBCCCESRx21mrXrz+Nrm37MeQP9LFMHdwbR10dHqIYRqpBl/IFdfOTv/u0PPuYzn30nhAYPi8kmkZUKY1zWn3PcC5NVCrXjZJPa68dReFjijI9SCi+MMbOeI874+JFBZT3+uLeP9nkYtYTzr+T98vDD8Ko/eXujyxBi3miqcEiT7Aymav+pZNFWb28fxekSaAfKA+tQ1pHvz9HV24XneWSyHjB3KRnpRzO/zhyaGVtUG2iUdAxFYYTneXT2dqEihzMkW5UZh4kMvb29jO4cTbqFVL3SOV1DssRMCCGEEEIsJOee9wxOOPE0/uHv/ppXnLiBZfqJvc34rbL41hIqeOErr6JarWKMoa+vf78e/4LnvxnPS0ZSxHEMgOd5GGPmHPd9H+dc/bhJd2CrHQfSnYqT+/i+TxzH9edwLtnNWGvNP/79X3POCceQV4pYge/AorDKcVpzve2qizTs6oBljS7kENg9aFm7utFVCDF/NNWrVK0HBxROabRz9Pf3EU4GxNMB2tMYH7TWOK3oOGMlfX19DAz01zt+rLXpC7ljZprQ3jQKtEar5B8Kz/MBhzWwc+dO+vr6iMcDsA5rLcZa4igmtD79/X1MjU6h0Xj1iUMz55GB1EIIIYQQYqHp7u7hPR+8HoD3XH0prV2teJFJOnAyHl5sMX7y3X7tuFYKnMVkkrclLow4/ewXcMEFF8557ra29gOqZdGixU/48zlQ7/7A9Y/6e++5+lJaO1tAKbwoxqJYuriHF/bsX9h1qNybgTUbGlrCQbFjh+UnNw4TVCMyWY+Mr6lWDU99SqMrE2L+aKpwCPbuuuns6GByaJI4tnja4rKgtcLTGr83SzabJQgDlFb13cZmIqbH5tJLbGLiOBlhp5XC8zyy2SxxJcZai7UOayxxZCiFRToHOpkenarXK51CQgghhBBCzPjAdZ97XI8rFqcPOAiaD/b19fjFz27kq7d9n3x7C6e1dxz05Xj740j4kfbklOMHP9jFlVd8vNGlCDGvNV04NJty0NHewei2EQAcGhsZ0AqnLYXOFpxzDA0O73Pe0B+aPVTfsWzW7dnXphTjrEvCIWuAJCDqaO9IIiEHTjkJh4QQQgghhDgIjsRg6NGcdc7TGB4bZXR0hC/f9VtedOpGYudY6SB7mFKbqp3ZzXm+un8LtLasaHQZQsx7TRcOzd5E3gKl6TJQ6wJyOGsxFvKLW8hkMpTLZX6/aRNhFAPJmt+1q1ezZ2iIYrGUHtNsWL+OwaFhxicmAEchX2DRQD/OOaampuasL+7o6EBrjd+Tpbpn5vy17e5L02XaOzsoTZZkCZkQQgghhBDicXn+815cv/2Ot70a6yzLVy3mkuXLOdR9RBZwOejpPsQnOsQefGiMc5/6ikaXIcS811ThkMNhsRgs1hochpGdQ3ieBlfb6l7hgI6T++js7GR6epr/ufEnRFEESuF7PnEU8+tbbyEIqlhrQSlWLFvKD274EZVqiTiKyGZznHbyKfR0dzE4PoX10pdf58hu28app55Kx8l9BDfsTM+YxkPKMbJziPWnH8udv7gNgzczQFs6iIQQQgghhBCPw7Uf/9f67UqlwtTUJHfc9it277yVNT1daAenqIPz9q0K/CoH5593UJ6uIb7xzXEuetYbec2rFjW6FCGOCE0VDtXUenEKbS2oKI1c0gFByQ5m4C/Kk81mKRaLrFu7vr5TQEuhQF9fLxuPO55SuVw/jlKcefppPLx7D845WgoFFi9eTGtrsjStWq0CyVK0joFegiDAX5RH6yQUcrikjnSpWliuUmhrIS7HOBx6Hm5bKYQQQgghhGg+hUKBQqHAsy58AXfetYovfvGz+H6G0Q29nNbeSZuDzBN4/s1ZePKTD1q5h9XoCGTzinPPfjW9vRIMCXGwNFU4ZHHYdJcxi6O7t5vJwcl0W/vasq4kLPI7szjnGBwaQhMzXZqmWqmyeXScPYODWBvR1lqgVCwRhAFxfArf/M5/cc6TT2N6epqtWx9gx46dnHbKSZRix9L1GzEmmS10322/4ljfx+/MonQ6yygNiCDpcJocm6K7t5vh8hAWh0ZmDwkhhBBCCCEOrpNOPIWTPvopAK79wF+xOTtMT1srr1iy5HH/eLqwHPJtB6/Gw2XHDsvPfzFMpeJ40xvWNLocIY4oTRUO1bafdzaJidq7O5genkIphU4XdwFk+7LkcjmCIGBqapoHtm7DGoMDPM/H8zxGx4YZGxvDuTRsMpauzk4eeGgbcRRhHWSyGXK5HIOjg2x78P6kAufwMlnKlQq5XI7sohzhSFhf0mZxKAfV6TL9qxYxuG0PSqs0IJJ4SAghhBBCCHFovOM9H6vf/uTHr2Rpdyc+jqpSB7TjWb5wqCo8dLbvMPzwB7u58oqPEYZho8sR4ojTZOHQDD+bScIWnewKZnFYBc5ZXK9PNpsliiIWL17EuWc/NX2UIpvNks1mKJdK2Pro/aTz6HkXXUilUgUcWilaWlrJ5/OsWZUlimZeYLyOZeRyOaanp3G9PmakAgo8lywec1oRRzF6ThTkJBgSQgghhBBCHBYvfsXb+e///i7K01hjkh3PTtrAUfsxyjrdi2fe2Lbd8aMbBrnyiiQcy2azDa5IiCNP04RDDofBYmwykPqolSsZ3TOC0Q4v57HupA1EUYifyzC0tExrayuVSoWvfP2bDPR14JzDOsf2nYNkMhlWr1pKEAQAWGt5xgXP4vP//iVOPG4t5XKZ2Bh2D47zpy9/Kffcex/Pe/mrkkKUolqc5vvf/Conn3wyhRP7WNW3EmssnvLYcuc9mMCgtUrqwyaj/jWAxpOISAghhBBCCHGILV26jEsvff1exz/ywb+iq8tDK4fJ+P+fvfOOj6J4//h7d6/fpZFeIUDovUqRIhZERBRR7Fi+iIqioiIKKooVEQsWQEVUBBRFQBAFFUVBQFDphE4gHZJcypW93fn9cUlIIGgU1Ohv37y+fi97czOz7ZmZzzzzDPXMZgaGHd+SbLMZ2tTxFVk+n8Syz4/h82nExbRiwIXDaN7kn66VgcF/mzolDlV8Qgab00rB0aPokk5MbAx+vw9dFyiaTgAfZrMZr9dLz25dyc7NA4Kxops3awUCcvJyK90lJSkoEF10wXnk5OZitjiRJGjZvA2SJOH1eqpURGBzheDz+zGbzQTwITQbuqqjESAyNorsjCxkSQmKTzJBcQgQ6PCXbzppYGBgYGBgYGBgYGBQM2MnPM+WLb+QkJCMEDr79u3kk43LqB8TSayk0FKVEKJyn506yZw5Wfzv5sfIz88lMTHln66OgcH/C+qQOHQ8ILUrNARPmQ8hSQgJwqLCKHGXoSgymlWvXFJWUlLC9p3pZOfmBGMLCcHmrdtOzlyC1i1asGv3bnJz89B1HTUQoCCxiMh6EZhNJ1wGIQgLC0dVVSwWCx58KH7w+f2ERYWSfTgLvTxAtis0hNLCEuRKccvAwMDAwMDAwMDAwOCfo3XrdpWfo6Ki2bN3L4t+XEc9q59r2rXEvU+mUR3yHtIC4C4OClaKAqNufwbAEIYMDP5G6ow4BAKhB4NHu0Jc+Lx+UGQUWUZCRvcHkBQZnxTAbHYSCATIysmh0F1AckI0ojy+kBAnizS6Lih0u9mz7wC9unciLy8fVfWz/9Ah2rRsiaKYjm95X44rLIxAIIDZbKZMKsXuVdACKhIysklGEiDLMk6nnZLCYnRdIMlBzyEjLLWBgYGBgYGBgYGBQV3h6quGc/VVwwF4dNyN9I5uTKNGzn+2UlVYsrSA3JxSzBYFIWRG3fZP18jA4P8fdUYc0sv/2ZwObDYbbrcbSYaExESyD2ahqTqyJFNQ30Qjaz28Xi9JCQkkJSTUuoxrr7gcgJSkBgCc1SV43NmgPlt+XF0tbbjLidfrxWq1km/OoSTfjwkz3lIfCSmJZB7OREhgszmwOx14Sz3lO6qJKkvkDAwMDAwMDAwMDAwM6g4Tn54FwI4dWyjzlLJuwyLO7hn7t3oSHToUHDGt+DKLfn2v5eor2/x9hRsYGNRInRGHBMG4Q06nDVX1IyQBAhwuO0cz84O7hAmFTH8I5BQQYSlEkf9aDx1NF7g9OiJbwxoQ6KgEAioxydGVa3RV1YfDacdTWoYQoEsCDM8hAwMDAwMDAwMDA4M6TPPmrQHo2OEsZr87kVKPgzatzH95ud98W8qe9GLMJit3jXruLy/PwMCgdtQZcagCm92OpmlIsoTQwVvmR5ZlJCRkBHsdcaR7BA3sTp64uA0hISGEhYVx+4cb2ZldXCnaSOWLu0b3TmNgmwSGf7gVqaqYVO7cowgPofoh9EAAv6URr13REVVVcbvd3DvvRw75S7ElxdI/J71yUzJvmR9XSChlJaUEtAB2ezDytRA6SIbXkIGBgYGBgYGBgYHBv4cbrn+U16c/wpbNArM5ONkdE2OnT2/Haee9dFkxhYV+AMxmQcd2/RIe3+oAACAASURBVLnogp6nna+BgcGZpU6JQxazGT3oMIQkB3UWT0kZkiQjAQIZIUvIQLO4cMwWMza7DZPJxIyru/5m3v27tsFkVlDdBRQf2UO95p0BkESAGK9KincZd34fj8lkQjEp6EKnRUIEh90e/FYJj92GzesDgnUKjQrFU1qKADQhsJjNaKoGVOxaZmBgYGBgYGBgYGBg8O/gtlsfp7jYjSzLCAGrv1/Cmh/2YbJYEULCZIJAAEwKyDKoAYHJFNz5rOK4pguEkDCbqTzeu+ctOBwhCKGXx2x1/dOnamBgUAN1ShzSdI2SYjeuiDCUgI4uBD6vF8UsgZAACUkEhZeG0U4CAQ1ZltF0jXNf+KLGPCcO6kCPxtEkhJgozjnE7mVz8ZeVEBsVQUxqUwJ+lWP5CViTxyHp69D0oMAjyzINo51IO4IL3o6F20nKV0EK1ik2MoG8jBxkk0xxgZuAFkCWZCBoCA0MDAwMDAwMDAwMDP5NhISEVn6+sP9VfPzJHEpKitB1HbPZiqr6sFqtSJKM3+/DbLGia3rlcVVV0XUdq81eebxvr/h/8IwMDAxqS50RhxRkNF2nuLCYgmMFqCJAdGI0Rw8frYzgIwGHooNVTjYnk5l5BCF01u7J5tDe9BrzLcmPI8Pq5eGHnq+m2qyc8sJJad2OOD5cFUK3RnHlZXg4dPAAAPlqgAuPZAJBz6ZSTynIkLcvF5NswiSZUKTg8jfJCDlkYGBgYGBgYGBgYPAvZ8hl1/zTVTAwMPibqDPiEOUxgiQkZElCQSKsXgSeAg8AMjKqIoNsIi02BJvNht1ux263c07rVNa0Tv3N3D+dOuEP18hms5EWH8HunGLKbCYsJis6OiAR8ASITI7GnVVYpeaSsY29gYGBgYGBgYGBgYGBgYHBv4o6Iw7JSMiSjBACgYzFbMOmWDArFoIbl+kcCbWCJNM4NhyTyYTD4cBqtfLUpz+yYN2uM1KPy89qykOXnAWA2WwmLTaC3bmlwTrKMiaU4Ao3TWBTLMjIwbqXnwOV/zMwMDAwMDAwMDAwMDAwMDCo+9QZcUgq349MkgSSEERG1kMr07AoCprQCY2qR0aDGPB7aZ4ci91uJyIiApfLxVPXnstT1557xutks9lolhzNsh1ZAETE1qM4v6hy+ZhWppXXWa7mN2RIQwYGBgYGBgYGBgYGBgYGBv8W6ow4pKMj0BG6jpAFUXFRZB3KRJU04lLicESE8m1ZMYos07dJDJqm4XA40HWd15evP6N1GXlBFyQJNE2jb5NYXlquo+k6kUkx2J12sjOyMMkKhUePImRRXmcJDR0TChIS2VmZZ7RO/wTRMbHsSd/5T1fDwMDAwOBvJjomtsZ2zGgXDAwMDAwMDAz+PUTHxNY6bZ0Rh4J7ggl0BK7QEDxlPoQkISQIiwpje3EJKIJG0S6EEJjN5srfnt0s5U+X2yw5BpMi1/idyWTC7/fTKNpFenYhu8tKaREVStbhLHQp6CHkCg2htLAECYGEKD8XQYOGjf90nQwMDAwMDAwMDAwMDAwMDAz+LuqMOAQCXRcIBK4QFz6vHxQZRQ5G9DkU0EDSSI10oWkaZrMZUb772OVPvPWnS1026VZS4yJr/M5sNuPxeEiNdJGeeYxDAZWWyCgmGUkEYxA5nHZKCosROgj5+G5oXk/Zn66TgYGBgYGBgYGBgYGBgYGBwd9FnRGHjvvcCOxOO8WFbmQZnGFhFBcVk4kKAhpFu9B1HYvFUikObZ857vTKrrLFfVUqymgU4wKhkwkUFxUTWi+MksJikMDpdCAQgA4op1UPAwMDAwMDAwMDA4P/H3g9HoTQ/+lq/GcwmcyYzGYkyYgAa2DwZ6hD4lAw6pDd6URoAl0EJReXy0VJQTGZYRIISIkMQdd1TCYTmqb9pXWqKCOlnguERqYEpYUluCJCcBe6kQFdA7vTia/Ug1QubhkYGBgYGBgYGBgYGJwKn9fL9m1bKCstQdcNgehUxCcm1TptWHgEIS4XdocDY4sgA4M/Th0Sh4J+Q/WiIvB6PaCA0EGWFdKFil0Fr0niwQ9W/WN1tGuCdAGdZIWQ0FDKSkrxeEuJiorkcGkGQtfRZd2QhwwMDAz+BEIICgqOUVzkRtMCp/TqhKB4HxISSr2oqL+xhv9tfF4Pm3/eRElpCbputGQGp48rxElK/YbExcUjyTXHd/y34PN6KSwsYPeuHf/5gXxi0p+P5VkVk8lEcv1UZNkYpJ+I11PGtq2b6X3O+f90Veo8P29cT/uOXX6zT1CVvXt24/P5qBcZja7/tY4EBgb/NeqMOARgMZsRAgQSkgySAE9JGbEBicZeL7tTvBQeC/tH6hbqsNMst5TYgIKnpIzQqFC8paUIQBM6FrMZTTUMkIGBgcGfQQjB4YxDmC0WUhs1Ijcvn7Fjx+IpK+Pu0aM5u1cvzBZLZdqj+fms+WE1fc/pZ7iPnwFU1c+xYwU0aNSYepFRyP/ygbxB3SA/L5cd27ZgtdmIior+14oqAVWlsLCAvbvT6X52n3+90PV77Nm1g/adup5WHkIIPGVlHNy/h6SUBoadPgEhBKUlJf90Nf6TxCcksG/vbqKiY39THNJ1HS0QgN8RnQQSJrPp/3W7qOs6JSUlZGZmcigjg5zsHOLi4khMTCQpKZHQ0NB/uooGZ4g6JQ5pukZJsRtXRBhKQEEXAp/Xi8OkkxhxlJCzcjErTqIcCXRO6E2zyHY4rU5sVgtIIJW7DwoECIE/oOLx+9lwaA+rdu9D6Aq6ruBUTFzbtQPhTielPpWV24+w+XAxQijouoRPFSSHmrjv4jbIihRUqgUsmPg2vowifF4vcZEJ5GXkIJtkigvcBLQAslRuNIwJVwMDA4M/xNH8PGRZISm5PjNnzmTKlClMnjyZZ599lquuuYZJjz7KzSNHAiBJEqu//56FCz+lbdu2REZF/8O1/w3UbNYs+YaCVpcwoImjzjq5a4EAhw7upd/5F/3TVTH4DxESGobd4WDH1i3ExMT9beKQKN3Fx9kNuLyR9YzkFwioHM44SNMWLQkNCz8jedZlNE1HCIEQAkmSKj02Kj5XPVZxvIKqx+0OByaThWNH8+u2nTao81Q8j7XBbncQUNXfXFWmaRq+3AyK3p2E78je34z7ZEtOI+z6CZT4dWJSUv9o1c8QOu4dK/l8m4s+g7sT+zeO4DVN48CBg6Snp5OVnU1WVhaSJJGRkUH+0aNkZGRw7rn9UBQj9u6Z5NfNm9m6ZSsZhw9TUlJCSEgIyUlJtGzVktatWv1lYmWdEYdkZAKaRnFRMWWeMkx2C3anDdXnp1R4KQ4pwesR9GsykFbRHXFYXMgoqKoaVH0BWZJAltA1DVUE0HQdXRe0jklk495sstxlCF1QiuDFZRuoZ7eSGB6CSVE4VuTDr4Kq6mi6TG6+TElpMUr5hRdCEBIfwbHd2VgkMyXuYoQkyMnKQfcFUIRSeZOMuEMGdYmsryy8tk5nxP0Bks3/dG3+xQRklj9jZXGUj9dG/jtnv09k/zwbkzZoPPaMeupnQ5f4abaFz80qD1yrc+JQa/kkO4ujfLwwUsd2GnU5duwojRo3YeLEiaxbtw6z2UzXrl0ZO3Yst9xyC6+8+irtOnemRYsWzJ49m4EDB3Leeeexe+e2uj3o8B1m1ZIVBKL7M6CJjTtufYILHnmIQYl/7mUUagH7tx+gYdv2Z7SaQghKikvPaJ4GBgAxsfFs+HHN3xr+Q3iPcKA4+czlV+7lERFR74zlWZfRda1yIH7igLyqEHSiSFTTsfikJHbv3P6X22mtOIMCezJRtRjZaMUZbE93E9+2ZXl6nWNrXmbC7KLTss8GfyWi1oG7azNoDvj9HJ31OA5Fp8HF153SG1DoGjk7fuHYhy/y5YEibnrh7T9U6zOHxrFfv+TzNa3oMKg7sX9jyXv37WPb1m1Isoy7qAhVVYmNjSUvL4+CggLqpySTnp5O06ZN/197V51JDh48yLx586sdKywspLCwkC1bt7Iy6iuGXj6ElJQzswS4KnVGHJKQkCUJISRUrx+Pp4yohDRy9mYiySoJZUmc2/pyHE4nqhag0FOEjIRJUjArlspckKDU7w12QgSYZQWTrHBl29b4NR0toFHmCzBn3SF2ZvlYsycPrw+EkAEZhIQg2LgNfn5dZSMnhKD95m9ppNnx6ibKfvUQmRzNscP5KJIJSVaQK/4ZrrMGfzMz+oYyYUdN3wiWXQ8zvvIz9N6/SRzyybx5q51laV7eeUgj9L/yOmiwabGZb3r6TiMTiZ+fs3PfLwGmve2n+emoKX+So9/YGP60xJIvvWSvMfPZBsH9v9XfCkisfsvKO60C3HstJ4lDFdfkdOUyj8fD1KkvMm/ePH788UemTZvGlZdfzpdffcWYMWN499132bt1K82aNuXWW28Fgna6zOOpVf7Cs5eFzz3D4gMOht96PS6Kyd2/i/3287hjcMPTrH1tkXl1+qOnlYOWt5rpL37Js7OmnaE6/VtRyfl+FlPeWMR2U1uG3D6G67tE1rBnqEbBxnlc+eA7CFMULc67ljtvvZDG9mI2L3yTd5d8x+YjZQglgsnz5tEuPNix1Ut2ccOwUWT7wBLVjD7D7uT2i5vg/L1+r17ITZcOJaPMRFTrgdx63//ok2A5IZHKU6NvZO32HLxYiGrehzkv3x/c5KJ0N1/MepuPv/mZQ3oCnS+6mdE39CDGDLp7Cwteepl5qw9QLBw88t4Czo6r+4NYWZZrFcNKuDfy8thXSb5iJKnhMqV5B9h9NJVLruhIvToyIV3TAFJ3b+Hyy++lWDhI6jSQm0YPr3ZfhD+XX5Z9yGNvLCVm+HReG5aCGbj7vPPYVi2ntqxY8XwNpQp8R1Yy5b7JjJn75Uk2+OdPp7FwxY/8uvcoMcOnM3NYxWBBp2TPd3y84DM++NHFk3Meo5OzduepBqrHfKvqOVTTsapCUtW/ZVnG6XTV0k5rZC17hHEfyYwbO4yywix2fv8ZX2wTdL3zcW7r8FthJQTuX94ho+OEWohDwbRT3rYw+tUKcUimXve7ebV7Lar5F/Pz+4/wykdrK23I3BfuODmRXsjPH7xQme7h2YtqsDP/LYSoLlTu37+fd96ZDcDw4TeQmppaLe3vEQioHDu8j8YXDELbvRFJltGq/FAGJJsD0bw73xVI7NqxhfvnrTxF5dysfepupheew4PDW+PO3cu6ZZ+x0d2cd6bf/6fOt67g9XrJPJKJx+NB13USEhNo2KghjRs15uDBgzgcDgIBjcNHjnDs2DHat2+Pw+E4nkHltenHgzd3rDyshCZT37uQ+59YTfywUVyaakYtK+KNl6Yjdb+LJ29pifvTR3mnuBd9W8ZhDxSSuecgco9hDGhgIn/tDB6fsYGyhI7cemlHPMfyOLj7ICED/sfg1JM9RvWiX3hn0utsKFPx2Poz8ZkrqK8fZPm8H9AbtyA5RGfa1FdJuvYZHuoXjaIXsu6ViRR1vZ4oPZMfF37Mendb3pk+OphhII+1s57n7c0hjBhxBVHR8aTEhZz2vuXHjh3jpZdfwe/3/2a6/Px8Xn9jOg/cfx8RERGnWWp16ow4JCMhS3JQiEHGYrZhUyzEuGSi7GYiwp2YAgKbzQ4iuHNZcBZKQkMERRk5KM5YJWuwAROAkNARWGx2zAQNhksI7rkwDEu5p1GO28+o2Ts4vjAt+NMolwWrpfw2axp9UiNxFgTI9UCJV2BTLOVykERQWpIByfAbMvjbGTi1lKbu4OcrrrTx4CwvHRyALGBxLXuDZwqrzi3vlHLL31vqvwRB+wfK+OofrEFkXy9L+kJd28VD1zRatWxJXl4eb775JnfeeScff/wx2dnZ9OjRg2XLlvHuvHmkNGhAh7POwmQ2V/7u9/Gx/9M3WHwgnHPGPEKfViHBw2f1Kf8+wNFflvD+gq/55UgpwpnA81MnEVUxvtPdPHbPGA64Nawxzek1+FouPyseq3Cz5eO3mL8mncOFPlIGPsr4IfVRCrfw2bsf8uXPR3A2TqUEiCvP6n83PsrQ5x7h/GhBzrezmL50K/vyisERT9vzruLGi1sRrmjkfvsaz8/7hVyvAFM4T02bQoK14p6VMfzGm4Aw+k14lusaWvhi5uMsXXcAt2YhsklPhtx4Bd2ji/h26kTezenCfROvo7mjbt3z08GbPpsHJ35EoO8IrvF/zNvjH8I6/RWuTq0+QFIPfcS4cbN5etprWDK/YebkF3nAF8MnDzZHlMqkXXw3l9d34s/4nvHP/8D7j59NuBwg68vX6HvreJpFeNi1dCYfTBuHnPoeY9o4TlEjAJXDCycQP3QcI+oXsfrt13nyAUGf90edkE7B0fYK7r86AUvpHla+/Rbbyu6ntQNkRaJMS+L8kRfj2DOfN+ZP5Inod3nxkjiWTLifmdndGDlpDK0tB7jjvpm8NPN2WtjP+OX9R/Bn/8pur43RfbuUH+lEz4ov9WJ2fTmf+V+sZ19hgK7/m8yI7uEcrXhPAmE06n4pN1/ds8p7UgWtgPGjx3C4FGyxreg37AYubRd5+p3gwBEWT7ifaya9QmvLAZa/OpXH71NZ8f7twWoXrOONB59gud6V8ZNfJDYprrJMrxzOuWMnclnFrI108rOll+zn+4/f4a0P1pCpw5gTvy9Yx6NLCxh00c0MHJlAbFK5pRFe9i+axNjpe6nffxBTJ/em/h94TnRNqyb01LScp6blZRCMTVIhIlV8Vzs7XYGLps1aAi1p3z6VwINP8vXy7dzWoRui7CCr5n/AkrW7oUEvBl51BX1Tjy/XfemOm4IfLO0Z89KdBN4fz5s/ZlKqgRySTOeLbuC2CypEhF3B9OVpG6e/xF1Tj1Xa56ptQtuL7+Lai9sF2wS9gI3vv8G0b3YjAGtUM/pccSNXdY7Gu3sOjzy7hnpXPcL9/WL/xEBRZdzs7XS84bgN2Vp2O61OsN2HF05g3OysynQTHphB1Iw7Tkr3X6Pqo9agQSqPPfZYjd/VKi9dRxMgfD6E1YYeCEDAVzmGEzYnotlZfLJ0Oem799AgvBYvkCOeZi3bQsu2dGxuZfy4j9EABZWcnxby3ker2JrrpdPlD3DDhc0IkUGU7eLe+yZT4NEBM+GNujF1/PDgMy28HF49n9mL1rAvEEcDW9HxsrQCtnw2h/krNlXatWnP3IsJUDO/YtasFazZk4sU1p7bJ46ic9ifezYKCovYvXs3BYWFNG7UiCOZmTidTux2O16vl/T0dGLj4ih2u3G6XMTHJ9CwYQ1L7xxxNGvWrNoh/z4AM/Xqp9G0SXC29K7ec3nquy/YMTSJsl+zuWVCf+LKX6QO5WHQ9GM/8PasDXiaXs3j955LpS5aGdtdZcSISfSfML7Svn756ky2NruZ210LmLK+PJm1Pv1vqF9Znz4Rgm/T81H7RaPI4XQZ9RySYgba08y1j1+n7qnM/8jn05i9vwP3Pn0FzV1n7r379tvvflcYOjH94MGXnLHyoQ6JQ1LFP0lGEoJ6kfUQHpXkUCsNwsGLF39WPqGN0tAr56grGh+p2t9mHCAqQv9U/w6CarDTGjx1Xdex2HxIFmdlmoqUd1yQyFlpkcHZ6ZISyt5cBWYTtgLBERmER0VCDta5XFiSqGtDLoP/DyS000io+MMsaNNDo3f5+HfjYuCIheGdLRzJkyBEZ/OOkuPrlVWZ3q1c7CwCV8MANz3q5f4LdHIX2hj9gpmfdkt4gR8z3KQi883LVh6bYWZnEdw1u4T7L9CpNhzzy0w9x8W0VqVsfkNjxXgHT8wxcdgDlkiNQ9tKq78jukSTlBCKAqDU0xg02sMbt57gh6LJdG/nZF9eUHy1pwTYtb6scgZVL5B5c4KdCQtkErupPDTZx5DGENfayrL1XjraAZ9Mi4dg4xQdO+DdYqXHeRY2ZhdXK+rCriFsOyjhAywxGv1v9DLznhM6th6ZMZ1cfHt1Cd8/HFxONTQxlIKnSvjiBh0F+OBBB1M/NHGoDLAIUloF2LDMy8YHXAz4ys+KH3yELLBz2ysmdhwMXuOT7k053u0WrrnGyvdZQZfINzcUc3GyxFc3u7j6J5WcX70AuL+20/Zqhf17yxg/2Mm7W4LnEdI4wK7vy1CA4q8dtLxa4lB22UnP0ZD2IZVlJPfw89PHx72kStbZuLSjwjafxiV3eXjyFp2ImrwoanieHr7g9/2KdF3n/AsuIDU1lVdffZWuXbvSqVMnZsyYwYABA/D7/VjsdmbMnMldNhvN27TBYrPVLoaJdx9ffn8UU8uRDG4ZctLXpds/YNJLqzB1uZyRQxMh80eeeH8LTw5vjUvyc2DRZEL73sjdDa3kbVrC/BmTyOMJ7u7s48CmLWSGXciIG1vhqBeN2X+IhZOnstjdnAHDLyP0wFI+2VNDndApObCNfSX1ue+ePuRuWcrcRa8wI+YZHugeTmjjngy5tR/hTpmy/d8xbUU2jw+ML/+tlScefwgkMyExZlCzmLcnjitvv4KGpmx+mP8eM6aY6P5Mv/KdQP9jiGI2vf8ph6MuY9q9Q2mqNyXrhjF8NH87lzzYjuNyuE7Br6vYK7WnY9M0aJrMyF9XMHr9RpA60/b6e2hbkbRTK5746D3yAmcTbjGReOkUbpKCL+JZLRV+vuI5tmzOgzb1T65PBd50FszbybgPz8ElQcckN9tGzENnFNVfFZm7bxpU/rkjLeT1rCjSaO1QwNaYIaMbB7/qHU3Gd7fz+dZs/JfE8el2mS6P3sNlXUKRaEZszkDmb7meiV1cZ+a6/sOYwpKJ4nsOewVJtuo9qYOLnuPpxW5aXHg1dzWPRI8ORUGufE8sud/z/txZTItuzOMD40+43l72fvQsaUNGc32iYN9X7zPv5Wk4n3qYAXF/vBv8+bjBvHT4HJ59405a5H/Dp9tlZnVphkQzGozNYP1ti4DbQcvhi6eeYnWjB5k1pieRJygFHimchk2bkJZ46jrkrHyRV1aFMuCBcRTOfLr6l+X5z3pj0Ql5C8q2v8Ujbxdx2Stvc2Vj+x/ul1ba1YoRd5WRd25uLlNffLHG3909ejSxsbEgRJU5XOnPx5pS7ITZQPi9oOXw1YtP8n5GKhdccyfSmjd598lM/JMeoH/56PGqhybSwgYoDqKtUNzpYm46K5xQi48jPy7g3XnTuO2CKeWZ1+eqh26ihTOYtqqdPLFN+PjFl3ii6J5gm6B7ydyxm5H33ItDL2TXinl89tqrXDXrsfJfn4bF9aZj7fMA467pUmlDxq8v4uk+4dWe6QXzdmLt82RlusTHL+S99deelO6/xR9pzX4/nS4EARF0EgikdcGEQN+6GuEL9qdo351Pln5J+p49pDZsSGOp+LczPAHZGoYd0BGU/TqbSa9uIv7Ca7mvfT1ef+pFpoc/zb09IpD8+Zh73sTdbUKh+CCrP/yYA/7hpFp0Cn96i6dmbSKs+1DuaOph9aKMyvz3fvQsU76y0vfq43bty+wAA+JMBPK3smGPl/seGINaJlP/NMSL7OwssrKziY6Owul04nK5OKdvH+Lj4ykoKMDn99OyRQtWrlxJ/tGjxMfH1SwOCR2tUiSWkJWan1Sr3QRCRcVJXJKL73YUcFmriGqCRf5PX7JdrUf/Yb04lcNctSdAePnUez4PXtsOecmCmtOrRWwoDKVDt8TKsUVQGALQ8RS48RMZ/NOTzmfLMwg4dd4a9xUivjuDrhtGr2TbaWsAO3ft/GPpd+4E/qPikKj4pwf/3xXqwltWissF0WEWCswK29evo9U55yArMrquowoNTa8uFIFU3oZVvT3BJWtmWcakBJd9Vcxq6LqO4tMxmU52zW6SGIHTYScQCJCblYXNYickVCW3xI/dLFFSVlZeZx0hS+hw2u5kBgZ/CXaNIeP8dE+AI6usjFooM2+ojoLExqccdH2olOeaSvz8to1Hh9sJX13KWWvNfJ+lMXaGjy4REGeW2DjRwbC3BDc8EUw/6NJg2jsan7ro29+UGfZ8Kde2EhQflk82nLJg6vulRNtg10IbYx918MatJ+zgocHBJD+vvxggXJVZ+5aNN/fCHY0An8zrV7l4olBl8Qd+PnzMzh1XCRp958OcZ2JtFnRsCNpRhaM/SWSpfhqa4ejPJg5bT5zNlNh0VOPhmT5a2yUO/GDhuWedFI5284dCkKoy98yTuGFCGRemCUp+tXL3kyeb22ObTfx8VGPCW8Hy9n9d9d4cxxwb4MaJGvfECkSuiWF3mem4QKXdZRqWpRX5SuxaZqIs3g8W6H+nh3OidJyqzIoX7HxdCOf9zkncOLGssow3HrCRqfmOi45ewVn3ljFsj5WJj7g4bCrh45tO7PDX/Dw9nPX7sWx0TcMVEsKYMfcyatSdjBo1ivnz57NkyRJ++eUXDh48iKIorMvIICw0lGuuuYbWHTvUakZacx/mSBlEN0umponV9Z98S0Hi5Tz9vwHEm4C2rXj9xif5cWAL+tm3sXD5Ee6Y3j3YYWjVEEfuWGZ+8g10Dq5BsMa1okOb5tgA7/blrMwM4ez7RzG0hR2po8amVa8ROFXl7Em0atMBWsTi3jyBJWsOQPf22BLb0zWxPE3jBF5+eieei+IJzl0qJCcfj6fi3bmUi0fdSP9kM9CM+s4Mfpm0DpRh9LlvGn1+9wr9y/Ad5qedPhztu5NiA2hEz2ZmPt+2iRy1HQ0rm3MZZ0IyDn1jcPbWn8PWHW4czdpWz0/3krdtOYlnn01lqBHp+PuquXMoxkR8ym+/QGruZjYXyjjLnzFzfBc6RLyPH04Rj0unNHMTiz5N5+zJJ/cedq/6lNXHIuh+TipWwIOVsDBLpQ1NMfk4lH4UtYuLur+47PdRYvtw24gjjB31AM269+Gcfr3oWD/opv/J8iPUO388o69oWG1ZVeV7IpLw/vQjMzZn4Lkonqr+ssK9lYVf53HPjLYoQJMkifRfX+L7TUcZMOCPR+4IetIEP+veQjxYK++JDMpaYgAAIABJREFUJb4NKaYPUQGxbxHv/+KBlDcZOegJYnr+j9vvuIyWocFBUbEuI9z5FEbGEG6reaAUf8lUPhwsI/nSee3N6t/5y/N/e9AFuAmncc+hwfxdRayb/RnZIo4VjwzjnTwfg8e/xU29E6ntwqOgXT0eQVNU+W90TDRDhlzG8uVf0LhxY3RdZ9++ffTvfwExsTFUyEJBB36BxB/1HAKhq3gKsti19mO+yJZpdFULfHs/Z9FuC11H38mwdi7oNJKisVP57LM99LmlKQAxickkV3HAsrXrSkWko7Rkma1rXuB4TWzV0ldd+HZim5ByRTLjPlzIjwNbcG75Co62bVphA1qmaGwfMxsdsKVdw3NvXvOHzrUqau5mmvS6qJoNSf8oA3+f8Go2ZHOhTJNezSrTdYgI8M36k9P9lwguK6t92t9No+uoArDY+HnbLjKOHGHwub1hy7egmPjk8y9J37OXehERDBk8mA3zpteubNVDUd4+Niz+lH3EYtby+XbhWnytb2PU0E6ESnBVYz9vfbsDd/fuhAHhTdrSrpUTaElj226+zFVJjS9g3ZKNlDW4hok39SNaUamX+QM/rwmWs/DrPFKHPcO1faMr7dpDq45yQaVNC6NV85a1u2C/wdGjRwkNCaFp06a0b9eOr7/+htCwMCwWC3a7HavFQkpKCrFxceTn55Ofn19zRhlzufmWueV/JHP1c49U9k2ErqNpKv7ifGatPIbU6ALSQuzEDBvFs3eOYVVyB3r1PYdzejQnxiKRvy8fzE1pEXsqi2Zm5oyJlX/5DnzGoFsvoYEVDp2U1s/u2Q/y5KpCEs4bw1VtQk8ap6jZ3zF7/j5iL3gw+IvszewsM5Hc/Vwu6Vyf9AXPMOuZMkKevo0OpxlLo6Tkj8V+LP4LdjysU+JQxSdksDts+N0F2C0SYU4T+YpMgqZxLCebhPqpKIqCVD4bEdB1dCHKdymDQOXa9uANMkkSdmuw63TieulAIMCe7FysVmvl9xVusCkxYSiKzKGdO9m9ZDFN7XbCnCbsFhWnBYrLfEE3pIoJFkMeMqir1NO4+LIAbWxAd50Hr5MpHqoTlq/w7NsyHxzUMAFdm3v4caWTuctlzgII0zj3fI02NhD5Jp59W6btxBKeukHHBFxodzB3ucyIUfopByeaXadHP40O8UC7mmcPL+oT7K51aell1UdOApxsnGz1A5zfT8OJRq+20H+FzMhGOt6NFl7+Refurz10bQFtwhS+vMjChzv9tJFkvtggcXtDQdEvZtgLG4/5aRgjsekzBblNDXEQwjT6nBc8Z84N0MXh4tMsGB5V+8vt+cVC/9fKeGaAQAa89TTCnzyFbQjT6NUvWF7vnjrjy+9N1WGoEqkzsMLRAD+Be+zs8ar07OSnq9mBCpg9Eou/kog5XwWzTs9BFddap02YyjMHf18cGjiootvsJ/GQmT1eSCi/sa7ePsb+T8Opa0QcCGHkq2Z2XF09/pI4xfOkwu8OXjVdByHo3as3iYmJJCYmMn78eCIjI/n666/RdZ1Bgwbxww8/sHj5cvr27UtYeHiVCYLforyFkaQaZ3W2HRZE9m1ZJVaFQhSZbM9R6eXcwSG//fiAVA6lSYcEmLMLODFAhUbhwUOUSYm0S/mDs/WmCOpHSmglhYBK3qbFfLB4LemZxyjDgUgeRs3DK43C/QdZ/OGtLK52/L/VFmneUjyBYNtsxU22G8LjQ8vthImw2FDYnIU7QLWHzdn+dsYNHsuIh5+jYeEafjRdyaS7j2/RXbp+PFc+vA4fMG3RlyeJh8KzmwWT55Dd9EYePeuEmCe6SklZ8B2QTHaUkmzcuI7fd1MIsSGgcrI4pOd/wT3XPM92HXB24bpqL4iX7S8NZ/RnR0m57Flu7xqGDLSwl/D9B58zeNzFpLkClApQfYH/kGeYmdhuw5mgLGP1t6t447FPiO5xC/fd0I1DfjtN2iWcEG/n+HvyS6YXmwqiof+k90Q9ms4RVXDzjTdVOx6S44Y/EdZ1wDOLGFD+WSR0pIV9EenuAGmuAAWHD1MqQBAg75cN5JLABQP/x3ktYpg/7nbum2jnnecuIlaB0JBM3rrrOmYCYc0u5MbRI7mo8QlLy6QaJlQAquT//AsPYz76E+8/P537Jtr5/IkEvt8RwNGiF1cN7Ur9UD+j7rgPf+Rb3NXqt5ZFHkfT9eBk7QlBqQXlMTjbtSc9fTc+n4/c3FwaNWxI+3bt0bWKJWUCUWFvJVFLO13BLm68ORhXDiWOzlfcx3XnxlL4xV6KpWQ6NS5/x5ypdEqRWLt/HwVa0xpFkW1Lp/PJqm1kHC1BszrAVzvfkxPbhKiWrYliJdtz1EpxqALZGUe8CzQ4ba8drSSbmHBLNRtSkr3/JBvixkXzKuliQ6Aku7BGW/PfofYBqWtzJzRNJyAkREAFBOl79rJQCAb36w2KQvp3b2K1WhgyaCCWIzvwlNTCc+jQHG4cMSf4uV4rLh59A6jZ7MwW+A++xl1VTVBMHqUBqN6qSFijkjlWpoOaR3oORPZLI7yG5vyIKih4fyw3v3/8WEivcQTOcKhqm9VGmceDu8hNUVFReUzf4Fuk6TpqQMXj8ZCXm0tJaSlxcacoP+Z8JowoXzIs24iOUKAYoIy1k0extjxZXPvB3Hv9OcQqgKsJrz11D+t++J5vFzzP8gVNuezuUTQSItifq2oc1UN8Mul5fmx4J0/ckHa8rQhk89XslZz72OUEW+MTMVP/kvt5rFserz0zhSfEAzx2dbPKvoDvyFe89swHZLQfwcND04LnXZxLCeH06NWddslmWg2/iE0PL2ZleintO7lOy3vI5XLidtfeSy3EdeY9h+uUOKTpOho68YmxlBUVE2ZTiI+QyA/40TwaLkXh8Oz3WB4bSau2bTmr+9lEhIejmKqfhq4H8/KqehXJKRgXSJEFFllGliUCWoDpX+zi820e6tU7vgOFEILUSDMb1n3P4f37ScvIoqkkEygpId9sIj7ChEfoeIWMlBhPZkYW6FK5LVKoefhhYFBHsAjUfImSAFgPm9jlg727KhpSwbjPSzCHCwqmVP+Ztzxtmvl4+oq0v2VIsnd4WbfQyo2vWVm2W3A4u7iaUHDkfQcPHfMzso+Os1jGLfjd4MZKuEZBRtDM52wyUYjA5ZbZtQtw+VnwrR9XksA3XqPbwza+7e1j6UMK758Pdzyi0HO4mQdWazy2tqaGojqN+qu8sFc6SRxSZNBOsSw4c52JK6/1/vGOYpV7E15xUctkxnZzMSfKzzPj/bSLAfwSqg5ybIDpM1Te3C/R410HM0w+Vk7UWX5zCDes0hj9nI8BzQS+nRKljcuj9J+KMpmkiy2VZRzMlrDVdCNkQftzNPhWYd8JExzeUzxPtWloVFVl9OjR9Ordi9WrV3P99deTk5OD0+lkxIgRpKWl0apVKyZMmMCsWbOYM3cuN11zDdh/fy5cie7Jld0/Y8qCaXza7GGGNKoeO6B5Avy0bQf5Wn3iFQCNfOI5P8aM2d6UJPNKfJQH49aL2fNLFkSeW1NJhKc2wCV+Zk26mw4dTp6BOjUSskkGoVO66QUeeKWMq557ltHRCuBh+BMbg6kUK2aqPngK4fWTaT/qfu7q+EfK+zeh48k9yL7CoP9VUsMQ4kJhe7aboBYUwJ1bDKHxhFR72FQOzb+fR75qxJefPAB6CT9Pu4X7rtrHiqWTAHB2mcRnK4Kph543mI5T5vJgm+Dz8dbIC1kgLuPpyUv5PPTkt1kEiti3LxOQMNdrSENXHKGUHF9OEygmp7hmYVSOuoCXvrggmI/7B659ay9v39yo3LPDRovR81gxWuXAu/9jyIBYHvnwGR5dvAKEijs/l2zVRboWw6W9k2vtDfJvoVGXATTqMoAbCr7j8Xtn8ly9ZOIVD3t+zcLXPLWy01/9PfHz6wt3MbWKTaqwdubIxsQrK3l65tvYzvALIoV049HFK3DnZZKtulCyfiJdi8GCRll+CSgN6HFeD9q6oMkjfbjy/rks2X8etzS28M7HSyrz8e9+g+G3DeGiFZ/XsuTj+bdtmgakMeGRfVx5/1xE4BaOeSGiZV96d2qAGRjRIJ/ps3/mpsk9qM1QQlVVAlogGKKhPOZQxXNdcV0vu/RSJj7+OLffdhvRMTGogUB1+yMFJ1wlWUZVf7+tPU5T3pk1FuHdy4LHn2Tp1xvp17spDRqm4hI/s3FfKZ3aOKHsABszBI7WqUQoELCacfsExxVeL5O/jmDiMy9T3wz49zDrvqcAMFvNgO+E9Mc5sU04tmNrZZtwEpKC6Qw9V4orjtyDfgS2Shviig07yYaEUkJu4fF0OcXganJyuv8SuqYTUE/pg1sNWfr93peu63iERCBzL+0VCzvj49m9dx+T9+4DoHeP7nRtUp/Az18QcIXiEbW4ySnX8M7EfqiZX/DcI/P5Zu0BhrROIi0GflIHM+nxQSSdcJNO7JVJijkYwN8cQ/ME2Pjrr+RemsKJG+jFK6Cf/SDPXt/kJLtWu206akezZk1xOh1s2PAThw5loMgKy5Z9Tlh4GPn5+QgBa9euxelykZScRKuWp/BWskXTqFH1zT+CPRkH3cc+z4hmNcuajvjW9L28NX0vv5nds+7nyWde560nB1F//Ye8/uY6Jt3WNbhhgdDxuEso9lSfMBHCSacRj5CfmQmo5BWrECghNzuP+snRgIQlPJ4G4fHcfUksDy36lC0Xj6VrqIRw/8oDy8J49MW3qm2KYIlrTjy/svHXfAYnx6P7SvFjxmlTTrsPNvLWW3nxpZdrHXfo1ltHnGaJJ1OHxKHgfwUCp9OJWlaM3QZhNjjk8RDQgy+7Vq8eDoedUJeTbZs34Qpx0aVLFxRFqbJ9ngQoOHSBqgV1G1G1VSv3Lvpux1E2ZspgceEyBxVQPaBi9eeTpLuJioygID8PLcxFIKOEgKZSEFBJsTmwWmRsFoEqO8vnpP87c3cG/3+wJgZIM1tIbKJz4pLkjadIu2uzROI12knpT4Vk0znrKh9nDVWZM9TFXj80qxzNSBxYqzBmSrlXkwdSajexWUlMO40QTGw4Jhh1VvX3UB2g0mKSlbfmwDZvgIeHgnavhTnCRFFLL/2Tfj//nHUmup7nozLGmSaBSZAUDrlbZdy6zokrAqKba7y8VeLCnuK0G4rAUYWfcqDzUz6u7XuynYns6efdF03s/Fim+UiVZjZYtFnCdb6P0UM0nIDfpPHRqSYiysW4wFGFzvceLyOyuWB7jRWS+XapAg18NHHBdsqvCb/9PP0euqYx8rbbCA0JweV0MGDAALKyspg0aRIHDhzg8ssvJyUlhTlz5uB2u3HY7UiSVGUN+28gOWg59AZ6bH+VJU8+Rvyoq3FIPgozd7PH04Fhl/ViyZSPePFtiaHdkpCOrCW0x2C6RStIUisuOz+eNxav45xGVvI2LWbuNoU2t5wDnNx42xpfzMVp65n7+hRmDbmIjqF7KIRaDcgqsEQ3JoqlfLXkW2LPbkiY6XhXTwlLJTUkwPebt+EqzcOf2oMuaQP4+Y6pvHNZfzqkuKAkhyP+ZgzoZv6PBKSWcaW0oE3FJkzCTacmFpZsXsshb1ua6vv4YacfZ/t2VN+8y0/W5sOIeuVRKmUXaR0boCzJrrEUCQ1/uXcSWi4f+gbxzEs3064GYQhAskTRpk0V1djbmlZhOqUCXBKoWRvYVKD8vngjSWh+rcZehCQDuopW6RBtJjQ6AVfBWvTml3NRg/+ONOQ/uJQ3P3fTvUdr8OSyc9Wn7CeU3i0i6emN5skvpvKSfBn9WsTglePpVOU9adI3niMlWmVEAckaxqEf1rGnQU8ahbXmkr5RTJ37Nee1isOmF5Gda6HtOR2JPkO94Ip78uL0n9Cb3w5YiG6ehPLJPjYc8tKthY1juw/gkWNIjTy50OoxMmvD8fyDBCrzl2xJNI+BjzftpOjaBkTJsDMXIttH1Vo80DUNoQf7tsHlPFUmW8tn7YUQjLn3XpxOZ3WPDinY6Q5OyQaFpT+6rAxAsjXiktsvY8sjnzBzYWemXHkRF6etZe70adS7qj+smckaT0OuGNgYGxJqQlOWLlxFaJdI/EdLiOvSBenYGpasTOO8ZhFY/YcpUAEkrAlNiWEJSxeuwtbISlyXbsRUKbvrCW3CgvmHCO0xmm7RCqdw4QQ47YDU5pjW7H4/ndKenSptSOMuF59kQ1qF6Xy3+ni6TQUKjbv894TiqgRFytp5DtUUQP3kNOUBqTUNzZ3DlYMuZf7ipRzJygKgW5sW+NYvA10LpvkDwzxzwrmMuG4zD7/zDuK2l+k2uCtLXvmUKa8GGNyrCUp+NmFd+tK6JpegCpQozhrSi6VTFvLsK35Gnt+AA0eOx4q8pG8UT698hanmSyvtWmyrbmfMplUQFhZGbm4uPXr0YN369disVurVq0eHDh1Ytz64q3deXj4tW7agtLSUhISEmjMqy2Lbtir7MyohpP3WA6sX8tO7c1Db9MRl0ik69BNLVxcjN26PEnc2t1zxM49/OJ3xT+/g1sEd0d17yai8PFUDUocQkxBSeTwQYgaTi5i4aNSs1SzZECApJQaXSeW9RTlYWw+iiUsCVDK/mceFPW7FnXGA4J4/EvUb1EeJ6syFbRYyfdFMFkQNQ126kmNR53JH49PfHSIiIoJhV17JB3PnEgj8thhqMpnO+E5lUKfEIR0dgd3pRKBjkjVsZglFEfj8FWufJQotCrqu07ZtW4qKisjJyWXJ4sW0bt2axMREzCYTFosFJDBJApNJQpIlhK6DLIMebOC2Hinmy90+PJIdpxPUshLM3kxS2E/LJAup9ZNoktaE9B27KLZYsfu86Ah8SCgOgVWRsZmhWNOwO534Sj1IxyMn/dOX08CgVshRGvfdoHPdo2Zu7qMTokrsPQjnDj/ZIFWkveRNB9fZvNzcRyd3j8S5wwOk/IaBf/MThdapArlQYf1h6F1tnCVI7qgz8W0T/+uuY/coZHn/2Dm4Ovm4o6WZZ253sPI9LxyTSfdo3DRMx5Yc4Lq2NsZNNuMaWEr4WRJn+x1MXgwdn9OoMQ7oETNTXtC5rLOOtNfMc48rLLgREBAXBgVrzATMXs4frPPkZDt3TfZyY1edbO34Nu+h3XzM62wn6XEf3aMltiwwc+SPnVYlpgidlhGw8CUL810qTU9cGhaise9VJ/ssAV66NLi8r20alKyw8uoiH+c2EGh7ZUg5MWdBSJyAgyY++UZldHedn6qUkbNPqtZAeA+YWPEN7PvAzrPrBRe+rtLUevyaLN+qM6hlzc/TTSN+f7ZPCJ20xo1RAyq6gP79L2DVqm9RlGDnSdd1PB4PgUCAL774gl6dO5cfr92gQw7vyM1PjCdt8WJmvPISIGGrV5+WPVrhanUND98ZwnsfLWHamjKwxzL5pVsIkQCspF76AEfvuZcpCwWWyKb0uvlhhnaPBC2rhhsWy/n3TMC+YC6fLX6D7zxWwhKa0zH65K1VT4U56SLuvL6I2YvmMXV18Nql9LoneD9sjRlyc3/unjoFbAn0vKU9neKSuLqrmS8WTudbP2AJp1GvWAZ0i/lvTl1IoXS49hIS7vyIp16K5SL/hywtaMD1V7bCCQzvfwnRt7/O04NiSe3VGtMLc9iypwOm/F9Z+PpGtIQrwbubTz74CXtaI+JCZEqztlIQ3osBTYKdO+/OD+h+5bm4cvayO6e8WEskDR0/cMfVL6Pf8R6vDY6rPvizNeXyK5rw3LzvGFS/kO/efJ8j0QORUdk/ZzSj5mhc8cor3JDq5cOVW2gY7UAvzmDTknc4538fYAXUQ8uZ851Kaloi/n1fMPe9I1g7X0frEImy7D0cyMrm4NY1LF2wgrEzPq/Zhv1L0XASUraeF19YAVgIr9+SgXdcwaCmdixp47gvZC4frZzDK59rpF38CJ0vPf6ePLY6gMkRTkqnMEyA5GyB5de7md+uAw/1CKPpsHH4xjzItBXBhTeRTf+vvTuPj6o6Gzj+e+7s2UhCQgJhlR0RZREp1lZBUXFvLe7igta31trW1kp5W22rr33Van2tRa2CG4oKikur1o+iVRREFAFBZFHZkkBCINtkMnPvef+4lxAiSyKQGZLn+/nwydw7N5OT4cm5c597znNOos/xwxvq0bRE44LUR6YbakvW8s4bz/PPWW+wMn0Mk6ecAQgdRpzH2OzJvHzH3+n789N447GvyDrhVo7uYEGilDnvfkm3bD91Jct4/cnZbMkaA0DNB7/hB7/fyLlTp3FVnz2dXHe+/quLV9Kj6gMe9l6fYA/Gn9Of2Q9O5c6nMpk4Mp236/ow6fTDaG4v5Dh2w2ghY9wpv8Z4iwUbA175hrS0iLu9o261gBhwP7M7CO7n7+b2000Fu45j0pkf8PsXH4WL/odxP5+M7+mneeWxezHdR3Ph5As4yZv7HCgaBwuu4953IZg3lAsGjOTHJ3Zm1pz7uL0ewEc4qwsC+IvGcdUPv+YfLz/BIyvcYxsnh5qeE4aMv5ZLzj7SOyfsy370uOH+ROdexB29ftrQh1x63yVYdimv/vePG+Lu3An9eP0fdzQctzF/PDeMbMvFqN04bG6SsTlJJIMhIRZOPO6OivvsPc47YzyLP/8CMNQvfscthO4dE2/Rf6uP/O9OZMK8KXxeCwOHXcHvru3IU3Pe5rH7XiFSOJSzj/j+3pNDCBmDL+F3v+zIzNlvcsdf/okvI4/DjuhJpgWF50/mhqyZzH7zmYZ+7ZYHv/Ot+rS9CQQCbCoupl/fvgwcOICFHy5ka0UFNbU1fPXV18TjcQYOGEBZWRkD+vcnPX0PKySXvcWdd73VaEdfHvpdt90fC2AM/hw/U++7FxuQtE70O+4Crjj3BMCi2yk3cFvnf/PCv97lnr/8B6wwOZ37M3xALj6a91do121n/aK3eO2FbdQDQ8ZN4tpzRrmLrZgo6z8rZeacP+7yPQ9Mn0bYymHUj2+kesYTvPzwnwn0Hce1P/shvQ/QnM6BAwdw1aQrmfrA3utcXTXpygPzA5uQ5mRXD7Y8f445NfN71DtxOnbKJSszjYhE6ZwOAwvjrKuMIuLeg1g9dDB2MMCFF15IdXU1tm1TXl7O1q1bicfjBENB8jrm0amgEwUFBQSDwV3qDIF7Yrtl1mpWf7EO2fIV6ds30bsQOh/em7zcHDIyMvD7/eTn5zP37bmY2jp6LFjkZpiNoXtWhNpogK+3w9rqCFXVtZSVbsUvPgISpPtRffjpzF8k581U7V5B9zSe+qyWsTtWK7sxs2F1rCFhAKFgrJ9Fr8fp6gfiFieOyGBpKYCh6+h6ps2Ikbi56fe5x759f4hbpwdYWgpdR8eYNiPGkY2T5U1WKxvTJ4uvqt3X7j46zsLnm2R/6ixGDMxgvTc4IiPfYeXSJlOR6i16/0xY8oA7EoaoxYi7aVgpzK6wmH5LhCnP+CDiMOzCKE/9ySbHgtI5aRx9jY/Tn6vm78fB29dkcN5rNg8trOWsb5xFhYJu6YzoKyxeLiSCDiMnxHj5LndIfPl/Qlzx0xBPLqkks87ihVvD3OqtxFbQN8E5t0W5+XtunaE/XpDBzHkW5fWGPkMMXy8RNpRU77JaWfz3+/i/8VQsCHLjTSH+uUKwgaIRMR55LsZQ730/uTCLtWfXsHCqTbZAosTHnTdEeORNy53SbRlumVvFf/VvvFpZDYlNfm6aGGFmeZwX59XxwPjMhp9B2PDaiiqGBoV/TYlw6ys+1pQJ2f0SXPzrOn51ukNEdr4ny4fX8PF0m8zdxNOi53etTbQ7774zlxEjjyGSlg7GYNs2F19yKdOnTyc3N5e5c+dSWFjIkiVL+Ovdd3PT9ddT0KULlbVVfPf7J+zz9dXeRWtrmP/+e5xxzo+S3ZRmilP67sPc9cBLrPAdxQ9+cgOXjsrDD1x2ypnk/+QBbj+zC36nkqWz7+eXD70FVgbdhp/K5dddxrFpS3jkz1P59+J1bEsAoTxufuhRju0SQkiw8dlruOwfX+/6Izv9iFfvyOaay6bR8ffP8efjMr851sOu4PKzJ7ChzkfHwadx9a+uZkyRxZczrufaJ23O+9t9TOxRwWUTLmVjlQNEKBg0mkfvvQk/EF35FLff8zKL1pThZPdk2JgJTJo4ll5pFov+cBY3vWfTsedgjj7hNG648LjWeKP3m+M4vPzCLE4+7QwSLZpelDqitTUsWriA0ccdT1aHFi1PcEiaM/tZTjz5VC8pZBpWH2PH8vWwy1L2DZ+zjUEsd91eEQERamtq+HjhAu2nm4jW1rBwwQeMP/MHu+z/6PH/5v7nFjT0ITPvuQ7sUv415Wru3TCWOx68jiPD2/hoxl8ajpv86IuMKWr+DYhDzSeLPmTAoMHURd0PiuvWrePJGU/tcszFF11I9+7uXbBwJMLny5cx8PAj9tjnlG8u5dP7p5BbvYUhnbOxRCAzGyvDXZHKKV7jfjWGT4u3UZGRz5g/PLzb12rrNhUXs3jxpxQWFFBSWsKaNWsJBgOUl5XTs1cv+vTuTTAU5PBBgwgE2vLkxta1dNkyli1dxrr166mqqkJEdhlNNOW3k8loQc2hgsLOi4wxI/Z1XEolh4zfobBLJ9KD0DGcoFOa4AQqwaviYyEsG9KfYUePoHu37tTF6tzhql4hU8d2sB0b27ZxbIfq1auofPsdwuXlUB9rmL9niZCwLBKFnfEdfTS+rl2xfBYWgvgsLMv9l5GeQW20ljVfrKJgzVeEN5c3TH8blJ3F51tgxVYftfVQvGkzTr0haAXodlRfrpv5y+S9oUqpb0koGB7cNSH2bcQtZr0pdMs3xDb5mfHHMC9m1lHyVvPmELdHjm2zYP77BEMh+vUfSE5uLnbCZv6C+Tz5xJOsWb2aoUOGcMq4cfTu04e0DpmsWfUFw0aM/MYNANVy8Xg9ZVvKyMzKolNBYaNp2qqxNY9O4sYVE3jw9nHk6Vu0T6XFm/isfgkCAAAL4ElEQVT4owUMHjKUjnl5335J8yRLxOOUl5exdvUqxp48vs3/fTz3zAzOOvtcb8y+7BwR37Tw0I6ut+k2YBzDtu0VLFvyKceMGq39dBN7Sg6pb/pk0Yf0GzCI2ppdV2Zav95d2r3x6p0AkbQMVq1cvtfkEEBdNErl9m3E6/d8A0tE8AeCZHXIJhzZ/2lDhypjDLFYjNLSUjZs2MD6DRvJz8+jc2EhRUVd6dAhK9lNbBcSiQSffrqEz5Z/RnFxCb+58dfN/t7mJodSa0CyY4hWV5PfpQNZIaFDyKHCuKkhd8UDwXYccnM7UhuNYicSeNXycLw5zbbjkCgtZfu8eVhffklBIEDcEqodB79XuDoBxIYPx+rfHycYRBJxHFuw/H7EsfH7/cTjcYxx51oaEaJZWUS2bAXcoYhRx6FDyE9ayGJz2TaM3fjOSTLePKVUykjAb69MZ7sNhB2OOLGOp/6kiaG9sXw+Ro0+lrVrVrNw/jzq6naOMDt13BgY5065qKqtZPHSTwiHw/To2UsvOA4Qvz9AQWEBixbOZ8H77yW7OakrcxyXjtzGvBeeTXZLDglZWVkMPuIo8vI7YdvNKyabivyBAPmdCgiFQrz2ypxkN+egM7bNnNnP7N+LiBAOhzlh7EnaT+9BW08yHki7q11V5NW3abq/LlqD3x/Y5/VYOBJp1wmflhDv77lHjx706NEj2c1pt/x+P8OHD2P48GEH72cctFduIUGwHUNdTRWVm+vI7hgmmOajPuZeIFhegqgmWktWZgalpaUNxUidRAI7kcBJJEhUV1P5+ONEjLti2aaysoYhWI4x1IkQ79qVQJcumKoqLJ8Pn2Uhfn/DEFgsC7EsfH4/uTnZxOpjbA/6yIhF2VGSb5slBAlRubma+to4YixE3LmjWnNItbaCQs3YH0gn9TyAw7PrLJa+EuaCV9ruArP7UlpS2azjRCx69+lH7z79DnKLVFMigoiP7xx7fMvq4iq1N8atX3MoJ4Z2sCyL3I55jBl3arKb0ioO1SmAhwoRi7S0PdRnUd+0Y6bIPoTCEbZsLiUnJwenmQWslVI7pUxyyEIIiBASB18iRn11lERI2Lq9AhAsA07ALUZdXFzMli1bEHATQ7EYjm0TXbuW6Lx5hCsr2RKNEquvb1iCM+Y41AK5vXsTDIeJfbTImxcNYvmI5uVRHwlj+XyIzweWhS8QwOfzUV1dTUVtLZEtZTgCYIj6/ByWkYnPFkKWYIvllt4zgt4gUa2tuRffSim1N4mEXhAqtSeO4xyyU+NUavH7/RR1687m0mLy8gt0FNE+GGPIyNz3jdBNGzdgjKFjXifsb1kIXan2LCWSQ7ZxqLZr8fkTZPuCZAZ85IR8hH0JIpbfu4kpVGVlUVRU5K404PNhbNutD2QMTjRKYulSQjU1lFdWYjvOzqr9Imz1+eiWkUFBTQ2B1WsI+xv96gJ1xZso7dGDqsJCjM+HA/hEMLZNbk4OZfE4YZ8fMBgv+RP2QWbAR41fqI8LjuMW4VNKKaWUUkqp3dkxVXHxxx9RXfVBspuT0joXdWX1qpXNOjY/vxMd8zvh2G49WqVUy6REciitXw+OnOZWgI9/8CHWww/QJyeNrfUxckMhxDKE0nxU9OnN6GOOoaqqCmPbGNtG4nHCVVVY5eWUrV2LU1uLH/cXa9wldAVMdTUl1W4xs6YpHAGkpISBV1xBPC2NesuiIhYjVldHv759qYtGKcwNUR91MI7gYKhJ2HRJSwPHYByhJiYk7IYKSUoppZRSSin1DZZlMWzEyGQ3o82xE4f+NFalkiUlkkM71Lwzj8gTT1IYCdEhCF/WJLAQggGLOtuhwhLee/99MiIRCjt1Ijs3F+rridXUYPn91FdXu0sR7kbjRJGw+xplTmUlQdsmPTMTycggYtsUl5SwfPlyKquqqEwkyPD7iNe7NZK2xxOEAxDxQ9hvqNV6s0oppZRSSimllDrEpMRS9iJSBTRvvKBSB18eUJbsRiiFxqJKLRqPKlVoLKpUobGoUonGo9qTHsaY/H0dlCojh1YaY0YkuxFKAYjIRxqPKhVoLKpUovGoUoXGokoVGosqlWg8qv2lpfGVUkoppZRSSiml2jFNDimllFJKKaWUUkq1Y6mSHHoo2Q1QqhGNR5UqNBZVKtF4VKlCY1GlCo1FlUo0HtV+SYmC1EoppZRSSimllFIqOVJl5JBSSimllFJKKaWUSoKkJ4dE5BQRWSkiq0XkpmS3R7VtItJNROaKyHIR+UxErvf254rIGyKyyvua4+0XEfk/Lz6XiMiw5P4Gqq0REZ+IfCIir3jbvURkgRdzz4hI0Nsf8rZXe8/3TGa7VdsjItkiMktEPheRFSLyHe0bVTKIyC+8c/QyEXlaRMLaN6rWIiLTRGSziCxrtK/FfaGITPSOXyUiE5Pxu6hD2x5i8U7vPL1ERF4QkexGz032YnGliJzcaL9eb6tmSWpySER8wP3AqcAg4AIRGZTMNqk2LwHcYIwZBIwCrvVi7ibgTWNMX+BNbxvc2Ozr/bsamNr6TVZt3PXAikbb/wvcY4zpA1QAV3r7rwQqvP33eMcpdSDdC7xmjBkAHIkbl9o3qlYlIkXAz4ARxpjBgA84H+0bVet5FDilyb4W9YUikgvcDBwDjARu3pFQUqoFHuWbsfgGMNgYMwT4ApgM4F3PnA8c7n3P370bkHq9rZot2SOHRgKrjTFrjTH1wEzgrCS3SbVhxphiY8zH3uMq3IufIty4e8w77DHgbO/xWcDjxjUfyBaRzq3cbNVGiUhX4DTgYW9bgDHALO+QprG4I0ZnAWO945XabyLSAfge8AiAMabeGLMN7RtVcviBiIj4gTSgGO0bVSsxxvwH2Npkd0v7wpOBN4wxW40xFbgX9E0v8pXaq93FojHm38aYhLc5H+jqPT4LmGmMiRljvgRW415r6/W2arZkJ4eKgPWNtjd4+5Q66Lyh50OBBUCBMabYe6oEKPAea4yqg+mvwI2A4213BLY1Ouk3jreGWPSe3+4dr9SB0AvYAkz3pjk+LCLpaN+oWpkxZiNwF7AONym0HViE9o0quVraF2ofqVrDFcCr3mONRbXfkp0cUiopRCQDmA383BhT2fg54y7hp8v4qYNKRE4HNhtjFiW7LUrhjtQYBkw1xgwFatg5bQLQvlG1Dm/qzVm4CcsuQDo64kKlEO0LVSoQkSm45TJmJLstqu1IdnJoI9Ct0XZXb59SB42IBHATQzOMMc97u0t3TInwvm729muMqoPlWOBMEfkKd4jvGNyaL9neVArYNd4aYtF7vgNQ3poNVm3aBmCDMWaBtz0LN1mkfaNqbScCXxpjthhj4sDzuP2l9o0qmVraF2ofqQ4aEbkMOB24yEtWgsaiOgCSnRxaCPT1VqAI4hbReinJbVJtmFeH4BFghTHm7kZPvQTsWEliIvBio/2XeqtRjAK2NxpWrNS3ZoyZbIzpaozpidv3vWWMuQiYC5zrHdY0FnfE6Lne8XrnUh0QxpgSYL2I9Pd2jQWWo32jan3rgFEikuads3fEovaNKpla2he+DowTkRxvNNw4b59S+0VETsEtSXCmMaa20VMvAed7Kzj2wi2S/iF6va1aQJJ9/hSR8bh1N3zANGPMbUltkGrTROS7wLvAUnbWefktbt2hZ4HuwNfABGPMVu+D6d9wh7TXApcbYz5q9YarNk1Ejgd+ZYw5XUQOwx1JlAt8AlxsjImJSBh4ArdO1lbgfGPM2mS1WbU9InIUbnH0ILAWuBz3JpL2japVicgfgPNwp0x8AkzCrZGhfaM66ETkaeB4IA8oxV11bA4t7AtF5Arcz5gAtxljprfm76EOfXuIxclAiJ0jJOcbY67xjp+CW4cogVs641Vvv15vq2ZJenJIKaWUUkoppZRSSiVPsqeVKaWUUkoppZRSSqkk0uSQUkoppZRSSimlVDumySGllFJKKaWUUkqpdkyTQ0oppZRSSimllFLtmCaHlFJKKaWUUkoppdoxTQ4ppZRSSimllFJKtWOaHFJKKaWUUkoppZRqxzQ5pJRSSimllFJKKdWO/T/SbbNWUbkLrgAAAABJRU5ErkJggg==\n",
"text/plain": [
"
\n",
"\n",
"We seen that our automated phenotyping creates lots of errors. So we wrote two simple programs for manually correcting our two most common errors: (1) merging of spots in our map that were separate on the original flower petal, and (2) misidentification of throat zones. There is also (3) a program for calling spotting events by eye."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"\n",
"We usually do all three of the above manual edits (spot breaking, zone correction, and spot event calling) on our petal maps in large batches, all at once, after they have been run the automated pipeline. There is a program for this, which tracks progress of groups of files that have been edited, useful for when you are editing a large directory of geojson files.\n",
"\n",
"The program is in the scripts folder (it's not one of our official modules):\n",
"[make_polygons/scripts/runCuration.py](https://github.com/danchurch/mimulusSpeckling/blob/master/make_polygons/scripts/runCuration.py)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"usage: runCuration.py [-h] folder jpgFolder\n",
"\n",
"positional arguments:\n",
" folder Enter the working directory that has the geojsons that you are\n",
" curating\n",
" jpgFolder Enter the folder that contains the jpeg files corresponding to\n",
" the geojsons in your working folder.\n",
"\n",
"optional arguments:\n",
" -h, --help show this help message and exit\n"
]
}
],
"source": [
"## in bash\n",
"runCuration=\"./make_polygons/scripts/runCuration.py\"\n",
"$runCuration -h"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"To use it, you make a directory of all the files you want to work on, and direct the program toward where the jpeg images are for the flowers you are editing."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As an example, I'll make a directory of jpeg images just for our toy directory of geojsons...don't get lost in the bash script, I'm just making a directory of photos to work with. "
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"jpegs=\"./dougRaster/Rotated_and_Cropped\" ##this is Doug's folder of photos and matlab objects\n",
"geojsons=\"make_polygons/toy/newSpots\" ## our toy geojsons\n",
"newJpegFolder=\"make_polygons/toy/newJpegFolder\" ##where I'm going to be the jpegs I want to run our program.\n",
"\n",
"mkdir $newJpegFolder\n",
"\n",
"for i in $geojsons/*; do\n",
" aa=$(basename $i)\n",
" bb=${aa%%_*}\n",
" jpeg=$(find $jpegs -name $bb*.JPG)\n",
" cp $jpeg $newJpegFolder/\n",
"done"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we can run our script for doing all manual curation programs on all geojson files in our toy directory. Use absolute paths for the arguments on this (so here I've the put `$PWD/` variable in front of my geojson and jpeg arguments)."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"runCuration=\"./make_polygons/scripts/runCuration.py\"\n",
"geojsons=\"./make_polygons/toy/newSpots\"\n",
"newJpegFolder=\"./make_polygons/toy/newJpegFolder\"\n",
"\n",
"$runCuration $PWD/$geojsons $PWD/$newJpegFolder"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This should run through all 3 of the manual curation steps, on all the files in the directory. It will also keep 2 log files: one human-readable csv for us, and a less-human-readable json file that is identical, which the program is actually reading when it is reopened. This way, if the program is interrupted before you are done doing curations, the log file will enable to you resume where you left off. \n",
"\n",
"At this point our petal \"maps\" are somewhat-well curated, including by-eye sanity checks for automated petal/spot outlines and zones. So onto data collection from our maps."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Another module, \"[flowerPetal](https://github.com/danchurch/mimulusSpeckling/blob/master/make_polygons/package/makeFlowerPolygons/flowerPetal.py)\" handles measurement of some of our traits of interest, from the geojsons that result from our automated phenotyping above. This module defines a custom python object class, \"FlowerPetal\", that holds a lot of the information while you're in the python interpreter. Outside of python, the flowerPetal module, when used as a script, outputs a spreadsheet (and pickled dataframe) that shows the results for all the geojsons in a directory.\n",
"\n",
"Let's keep going with the geojsons we created in our toy directory. I'm also going to add in another flower petal (\"P297F2_right_polys.geojson\") from plate 1 that has been through all the handcuration steps mentioned above, with great attention. This will make the measurements cleaner, maybe easier to understand. If you are following this very closely and building your own toy directory, you might need to copy this petal from our google drive, also I'll put a copy in the `./make_polygons/notebooks` folder. "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"usage: flowerPetal.py [-h] geojFolder dataframe\n",
"\n",
"positional arguments:\n",
" geojFolder The folder of geojson files.\n",
" dataframe The desired name of the output, formatted as a .csv file and a\n",
" pickled pandas dataframe, saved in the geojFolder.(Put it in\n",
" quotes)\n",
"\n",
"optional arguments:\n",
" -h, --help show this help message and exit\n"
]
}
],
"source": [
"flowerPetal='./make_polygons/package/makeFlowerPolygons/flowerPetal.py'\n",
"toy=\"./make_polygons/toy/newSpots\"\n",
"$flowerPetal -h"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"When we use this module, it first checks the integrity of our spot and petal polygons. If it finds problems, it tries to fix them. The is something might be made optional in the future, given how many of our spots have problems. \n",
"\n",
"After the check, it runs the measurements of the traits."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"file is P297F2_right_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"file is P431F1_right_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"file is P773F1_left_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"file is P773F1_mid_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"file is P773F1_right_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"file is P773F2_left_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"file is P773F2_mid_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"unable to calulate avgDistSpotEdge2Edge\n",
"unable to calulate avgDistSpotCentroid2Edge\n",
"file is P773F2_right_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"file is P774F2_left_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"unable to calulate avgDist2CenterCenterSpots\n",
"file is P774F2_mid_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"unable to calulate avgDistSpotEdge2Edge\n",
"unable to calulate avgDistSpotCentroid2Edge\n",
"file is P774F2_right_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"file is P774F3_left_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"file is P774F3_mid_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"unable to calulate avgDist2CenterCenterSpots\n",
"file is P774F3_right_polys.geojson.\n",
"Checking petal\n",
"Polygon is ok! Returning it as is.\n",
"Checking spots\n",
"Polygon is ok! Returning it as is.\n",
"Checking center\n",
"Polygon is ok! Returning it as is.\n",
"Checking edge\n",
"Polygon is ok! Returning it as is.\n",
"Checking throat\n",
"Polygon is ok! Returning it as is.\n",
"unable to calulate avgDistSpotEdge2Edge\n",
"unable to calulate avgDistSpotCentroid2Edge\n"
]
}
],
"source": [
"$flowerPetal $toy \"allflowerstest1\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The csv spreadsheet should be viewable in MS excel or whatever. We'll look at the spreadsheet in python, using the pickled pandas dataframe:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"## back in python\n",
"allFlowerTestP=pathlib.Path(\"./make_polygons/toy/newSpots/allflowerstest1.p\")\n",
"with open(allFlowerTestP, 'rb') as f:\n",
" allFlowerTest=pickle.load(f)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"That loads our dataframe, but we need to clean up a little."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"trash=['geojson', 'spotEstimates', 'photoBB', 'scalingFactor']\n",
"for i in trash:\n",
" allFlowerTest.drop(i, 1, inplace=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"And look at it:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"scrolled": true
},
"outputs": [
{
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0.645650
\n",
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0.308670
\n",
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0.295340
\n",
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0.004527
\n",
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True
\n",
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0.000000
\n",
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\n",
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\n",
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12
\n",
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P774
\n",
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F3
\n",
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mid
\n",
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0.532171
\n",
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NaN
\n",
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0.030355
\n",
"
0.000000
\n",
"
0.011455
\n",
"
0.051134
\n",
"
0.006504
\n",
"
...
\n",
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0.000000
\n",
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0.012729
\n",
"
0.024502
\n",
"
0.000000
\n",
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0.114916
\n",
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0.268254
\n",
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0.340674
\n",
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0.000644
\n",
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False
\n",
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0.000000
\n",
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\n",
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\n",
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13
\n",
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P774
\n",
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F3
\n",
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right
\n",
"
0.393563
\n",
"
0.075665
\n",
"
NaN
\n",
"
NaN
\n",
"
0.133752
\n",
"
0.623723
\n",
"
0.781386
\n",
"
...
\n",
"
0.084607
\n",
"
0.640919
\n",
"
0.696618
\n",
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0.578344
\n",
"
0.720935
\n",
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0.665551
\n",
"
0.299374
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0.008481
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True
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0.424865
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\n",
" \n",
"
\n",
"
14 rows × 49 columns
\n",
"
"
],
"text/plain": [
" plantName flowerName petalName avgDist2CenterAllSpots \\\n",
"0 P297 F2 right 0.376811 \n",
"1 P431 F1 right 0.530037 \n",
"2 P773 F1 left 0.486598 \n",
"3 P773 F1 mid 0.511070 \n",
"4 P773 F1 right 0.458919 \n",
"5 P773 F2 left 0.438167 \n",
"6 P773 F2 mid 0.454437 \n",
"7 P773 F2 right 0.485065 \n",
"8 P774 F2 left 0.501052 \n",
"9 P774 F2 mid 0.461442 \n",
"10 P774 F2 right 0.361045 \n",
"11 P774 F3 left 0.468048 \n",
"12 P774 F3 mid 0.532171 \n",
"13 P774 F3 right 0.393563 \n",
"\n",
" avgDist2CenterCenterSpots avgDistSpotCentroid2Edge avgDistSpotEdge2Edge \\\n",
"0 0.178998 0.264128 0.176217 \n",
"1 0.014100 0.060887 0.002643 \n",
"2 0.320662 0.116635 0.056501 \n",
"3 0.369272 0.118661 0.076482 \n",
"4 0.326580 0.106670 0.061601 \n",
"5 0.173016 0.111677 0.073623 \n",
"6 0.004555 NaN NaN \n",
"7 0.215261 0.125266 0.049882 \n",
"8 NaN 0.050982 0.000000 \n",
"9 0.266317 NaN NaN \n",
"10 0.226374 0.242645 0.195640 \n",
"11 0.296921 0.081367 0.000000 \n",
"12 NaN 0.030355 0.000000 \n",
"13 0.075665 NaN NaN \n",
"\n",
" avgSpotSize biggestSpotArea centerCoveredbySpots ... \\\n",
"0 0.043707 0.111778 0.168148 ... \n",
"1 0.065152 0.511838 0.642616 ... \n",
"2 0.032163 0.267029 0.403120 ... \n",
"3 0.018177 0.227407 0.467538 ... \n",
"4 0.026213 0.205296 0.305973 ... \n",
"5 0.012876 0.073284 0.059887 ... \n",
"6 0.051931 0.387464 0.545390 ... \n",
"7 0.026191 0.166003 0.252343 ... \n",
"8 0.026052 0.058606 0.017791 ... \n",
"9 0.047525 0.107229 0.273668 ... \n",
"10 0.093443 0.594593 0.765590 ... \n",
"11 0.043514 0.211160 0.305956 ... \n",
"12 0.011455 0.051134 0.006504 ... \n",
"13 0.133752 0.623723 0.781386 ... \n",
"\n",
" propSpotsInThroat proxCoveredbySpots quadICoveredbySpots \\\n",
"0 0.271567 0.249639 0.229207 \n",
"1 0.123073 0.590472 0.579099 \n",
"2 0.024543 0.338248 0.094189 \n",
"3 0.019391 0.267341 0.459310 \n",
"4 0.030316 0.426190 0.243339 \n",
"5 0.000000 0.124581 0.001437 \n",
"6 0.001585 0.354077 0.510306 \n",
"7 0.107706 0.401988 0.320327 \n",
"8 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.180816 0.311247 \n",
"10 0.032169 0.473923 0.621984 \n",
"11 0.000000 0.042624 0.009736 \n",
"12 0.000000 0.012729 0.024502 \n",
"13 0.084607 0.640919 0.696618 \n",
"\n",
" quadIICoveredbySpots quadIIICoveredbySpots quadIVCoveredbySpots \\\n",
"0 0.272803 0.283828 0.264841 \n",
"1 0.601747 0.460575 0.447199 \n",
"2 0.556756 0.354514 0.263344 \n",
"3 0.056683 0.305232 0.492416 \n",
"4 0.633292 0.237458 0.393073 \n",
"5 0.213197 0.279114 0.158712 \n",
"6 0.149960 0.577785 0.344299 \n",
"7 0.500081 0.165892 0.306532 \n",
"8 0.000000 0.294640 0.023928 \n",
"9 0.000000 0.005619 0.672659 \n",
"10 0.290478 0.796003 0.898884 \n",
"11 0.073465 0.645650 0.308670 \n",
"12 0.000000 0.114916 0.268254 \n",
"13 0.578344 0.720935 0.665551 \n",
"\n",
" realEdgeSpotted smallestSpotArea spotOnCentroid throatCoveredbySpots \n",
"0 0.229129 0.016721 False 0.508089 \n",
"1 0.237641 0.000005 True 0.556845 \n",
"2 0.228437 0.000008 True 0.108714 \n",
"3 0.119493 0.000003 True 0.083651 \n",
"4 0.347117 0.000020 True 0.153109 \n",
"5 0.350112 0.000034 False 0.000000 \n",
"6 0.354197 0.000003 True 0.008440 \n",
"7 0.615650 0.000563 True 0.357339 \n",
"8 0.162416 0.007598 False 0.000000 \n",
"9 0.238990 0.000418 False 0.000000 \n",
"10 0.226721 0.001260 True 0.169117 \n",
"11 0.295340 0.004527 True 0.000000 \n",
"12 0.340674 0.000644 False 0.000000 \n",
"13 0.299374 0.008481 True 0.424865 \n",
"\n",
"[14 rows x 49 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"allFlowerTest"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Development note:\n",
"\n",
"The csv and the pickled pandas dataframe has these heavy extras that probably shouldn't be included. I would recommend preventing the spotEstimates from becoming part of these spreadsheets/dataframes, and any other GIS type objects you find in there that I accidentally included. These should be in the geojson file, only, and not in these outputs. I would fix this if I was still paid to do that sort of thing. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's use an our curated example petal (P297F2_right) from plate1 to look at for these traits. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The petal looks like this:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
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"};\n",
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"\n",
" if (!name) { continue; };\n",
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" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
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"\n",
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" var fig = this\n",
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"\tfig.close_ws(fig, {});\n",
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"\n",
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"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
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"\n",
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" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
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" for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
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""
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""
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"source": [
"(petal,spots,\n",
"center, edge,throat,\n",
" _,_,_) = geojsonIO.parseGeoJson(\"./make_polygons/toy/\"\n",
" \"/newSpots/P297F2_right_polys.geojson\")\n",
"## use our custom plotting functions\n",
"geojsonIO.plotOne(petal)\n",
"_=geojsonIO.addOne(spots)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This petal has the following measurements (\"traits\"):"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true
},
"outputs": [
{
"data": {
"text/plain": [
"{'plantName': None,\n",
" 'flowerName': 'P297F2',\n",
" 'petalName': 'right',\n",
" 'geojson': '/home/daniel/Documents/cooley_lab/mimulusSpeckling/make_polygons/polygons/P297F2/right/P297F2_right_polys.geojson',\n",
" 'petal': ,\n",
" 'spots': ,\n",
" 'center': ,\n",
" 'edge': ,\n",
" 'throat': ,\n",
" 'biggestSpotArea': 0.11177826873338739,\n",
" 'smallestSpotArea': 0.016721179916812177,\n",
" 'avgSpotSize': 0.043707264626960035,\n",
" 'medSpotSize': 0.031442029551284681,\n",
" 'nuSpots': 6,\n",
" 'nuSpotsContainedInCenter': 0,\n",
" 'nuSpotsTouchCenter': 5,\n",
" 'nuSpotsMostlyInCenter': 1,\n",
" 'nuSpotCentroidsInCenter': 1,\n",
" 'avgDist2CenterAllSpots': 0.37681071000591493,\n",
" 'avgDist2CenterCenterSpots': 0.17899763180246953,\n",
" 'propSpotsInCenter': 0.3202816260213142,\n",
" 'centerCoveredbySpots': 0.1681477151460129,\n",
" 'spotOnCentroid': False,\n",
" 'nuSpotsContainedInEdge': 1,\n",
" 'nuSpotsTouchEdge': 2,\n",
" 'propSpotsInEdge': 0.408151835595078,\n",
" 'nuSpotsMostlyInEdge': 2,\n",
" 'edgeCoveredbySpots': 0.29705388680544165,\n",
" 'nuSpotsTouchActualEdge': 2,\n",
" 'realEdgeSpotted': 0.22912916987734203,\n",
" 'avgDistSpotEdge2Edge': 0.17621697063871114,\n",
" 'avgDistSpotCentroid2Edge': 0.26412825783179705,\n",
" 'throatCoveredbySpots': 0.5080893047095963,\n",
" 'propSpotsInThroat': 0.2715665383836074,\n",
" 'nuSpotsTouchThroat': 4,\n",
" 'nuSpotsMostlyInThroat': 3,\n",
" 'nuSpotsTouchCut': 2,\n",
" 'nuProxSpots': 4,\n",
" 'propSpotsInProx': 0.47527832275487414,\n",
" 'proxCoveredbySpots': 0.24963940866251919,\n",
" 'nuDistSpots': 2,\n",
" 'propSpotsInDist': 0.5247216772451259,\n",
" 'distCoveredbySpots': 0.2748112629904847,\n",
" 'nuQuadISpots': 2,\n",
" 'propSpotsInQuadI': 0.2318585808247405,\n",
" 'quadICoveredbySpots': 0.2292068403072505,\n",
" 'nuQuadIISpots': 2,\n",
" 'propSpotsInQuadII': 0.2434197419301336,\n",
" 'quadIICoveredbySpots': 0.27280335026237895,\n",
" 'nuQuadIIISpots': 1,\n",
" 'propSpotsInQuadIII': 0.284570590244836,\n",
" 'quadIIICoveredbySpots': 0.2838281063607832,\n",
" 'nuQuadIVSpots': 1,\n",
" 'propSpotsInQuadIV': 0.2401510870002894,\n",
" 'quadIVCoveredbySpots': 0.26484137192947865}"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"vars(flP)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So what are all these numbers?...\n",
"***"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
](#GP)\n",
"\n",
"explanation | name of trait in code/data\n",
"------------|---------------------------\n",
"Biggest spot | [biggestSpotArea](#biggestSpotArea)\n",
"Smallest spot (is this useful at all?) | [smallestSpotArea](#smallestSpotArea)\n",
"Avg size | [avgSpotsize](#avgSpotsize)\n",
"Median size | [medSpotsize](#medSpotsize)\n",
"Number of spots | [nuSpots](#nuSpots)\n",
"\n",
"[
Centeredness:
](#centerStats)\n",
"\n",
"explanation | name of trait in code/data\n",
"------------|---------------------------\n",
"Number of spots entirely contained in center zone | [nuSpotsContainedInCenter](#nuSpotsContainedInCenter)\n",
"Number of spots touching center zone | [nuSpotsTouchCenter](#nuSpotsTouchCenter)\n",
"Number of spots mostly in center zone | [nuSpotsMostlyInCenter](#nuSpotsMostlyInCenter)\n",
"Number of spot centroids in center zone | [nuSpotCentroidsInCenter](#nuSpotCentroidsInCenter)\n",
"avg spot centroid distance to center of all spots | [avgDist2CenterAllSpots](#avgDist2CenterAllSpots)\n",
"avg spot centroid distance to center of spots in center zone (excludes edge spots) | [avgDist2CenterCenterSpots](#avgDist2CenterCenterSpots)\n",
"Percent of total spot area in center | [propSpotsInCenter](#propSpotsInCenter)\n",
"Percent of center zone covered by spots | [centerCoveredbySpots](#centerCoveredbySpots)\n",
"Spot on centroid | [spotOnCentroid](#spotOnCentroid)\n",
"\n",
"[
Edgeness:
](#edgeStats)\n",
"\n",
"explanation | name of trait in code/data\n",
"------------|---------------------------\n",
"Number of spots entirely contained in edge zone | [nuSpotsContainedInEdge](#nuSpotsContainedInEdge)\n",
"Number of spots touching edge zone in some way | [nuSpotsTouchEdge](#nuSpotsTouchEdge)\n",
"Percent of total spot area in edge | [propSpotsInEdge](#propSpotsInEdge)\n",
"Number of spots mostly in edge zone (>Percent of) | [nuSpotsMostlyInEdge](#nuSpotsMostlyInEdge)\n",
"Percent of edge zone covered | [edgeCoveredbySpots](#edgeCoveredbySpots)\n",
"Number of spots touching actual edge (not zone) | [nuSpotsTouchActualEdge](#nuSpotsTouchActualEdge)\n",
"Percent of length of real petal edge (not zone) covered | [realEdgeSpotted](#realEdgeSpotted)\n",
"avg dist of outline of spots to edge | [avgDistSpotEdge2Edge](#avgDistSpotEdge2Edge)\n",
"avg dist of centroid of spots to edge | [avgDistSpotCentroid2Edge](#avgDistSpotCentroid2Edge)\n",
"\n",
"These last two exclude spots that contact the basal cut on the petal, if possible and measure the distance to the actual edge of the petal, not the zone.\n",
"\n",
"[
Throat:
](#throatStats)\n",
"\n",
"explanation | name of trait in code/data\n",
"------------|---------------------------\n",
"Percent of throat zone covered | [throatCoveredbySpots](#throatCoveredbySpots)\n",
"Percent of total spot area in throat | [propSpotsInthroat](#propSpotsInthroat)\n",
"Number of spots touching throat zone | [nuSpotsTouchThroat](#nuSpotsTouchThroat)\n",
"Number of spots mostly in throat zone | [nuSpotsMostlyInThroat](#nuSpotsMostlyInThroat)\n",
"Number of spots touching actual cut/base | [nuSpotsTouchCut](#nuSpotsTouchCut)\n",
"\n",
"[
Regions of petal, by distal/proximal half, or quadrant.
](#regions)\n",
"\n",
"This is a pretty crude division of the petals into quadrants. The quadrants of the petal are designated based on the centroid and the bounding box sides as othogonal bases. The quadrants are not necesarily equal in size. Probably very rarely, actually.\n",
"\n",
"explanation | name of trait in code/data\n",
"------------|---------------------------\n",
"Spots with centroids in proximal half (quadrants I and II) | [nuProxSpots](#nuProxSpots)\n",
"Percent of total spot area in proximal half (quadrants I and II) | [propSpotsInProx](#propSpotsInProx)\n",
"Percent of proximal half covered by spots (quadrants I and II) | [proxCoveredbySpots](#proxCoveredbySpots)\n",
"\n",
"explanation | name of trait in code/data\n",
"------------|---------------------------\n",
"Spots with centroids in Distal half (quadrants III and IV) | [nuDistSpots](#nuDistSpots)\n",
"Percent of total spot area in Distal half (quadrants III and IV) | [propSpotsInDist](#propSpotsInDist)\n",
"Percent of Distal half covered by spots (quadrants III and IV) | [distCoveredbySpots](#distCoveredbySpots)\n",
"\n",
"explanation | name of trait in code/data\n",
"------------|---------------------------\n",
"Spots with centroids in quadrant I | [nuQuadISpots](#nuQuadSpots)\n",
"Percent of total spot area in quadrant I | [propSpotsInQuadI](#propSpotsInQuad)\n",
"Percent of quadrant I covered by spots | [quadICoveredbySpots](#quadCoveredbySpots)\n",
"\n",
"explanation | name of trait in code/data\n",
"------------|---------------------------\n",
"Spots with centroids in quadrant II | [nuQuadIISpots](#nuQuadSpots)\n",
"Percent of total spot area in quadrant II | [propSpotsInQuadII](#propSpotsInQuad)\n",
"Percent of quadrant II covered by spots | [quadIICoveredbySpots](#quadCoveredbySpots)\n",
"\n",
"explanation | name of trait in code/data\n",
"------------|---------------------------\n",
"Spots with centroids in quadrant III | [nuQuadIIISpots](#nuQuadSpots)\n",
"Percent of total spot area in quadrant III | [quadIIISpotsInQuadIII](#propSpotsInQuad)\n",
"Percent of quadrant III covered by spots | [quadIIICoveredbySpots](#quadCoveredbySpots)\n",
"\n",
"explanation | name of trait in code/data\n",
"------------|---------------------------\n",
"Spots with centroids in quadrant IV | [nuQuadIVSpots](#nuQuadSpots)\n",
"Percent of total spot area in quadrant IV | [propSpotsInQuadIV](#propSpotsInQuad)\n",
"Percent of quadrant IV covered by spots | [quadIVCoveredbySpots](#quadCoveredbySpots)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"\n",
"In our digitizing pipeline we define a center zone that occupies the center 50% of the petal (translucent white zone) and a centroid of the petal that we consider the true center of the petal (blue plus sign): "
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 84,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
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