OpenMC/docs/source/pythonapi/examples/post-processing.ipynb
2016-01-15 06:29:41 -06:00

1136 lines
295 KiB
Text

{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This notebook demonstrates some basic post-processing tasks that can be performed with the Python API, such as plotting a 2D mesh tally and plotting neutron source sites from an eigenvalue calculation. The problem we will use is a simple reflected pin-cell."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"from IPython.display import Image\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"import openmc\n",
"from openmc.statepoint import StatePoint\n",
"from openmc.source import Source\n",
"from openmc.stats import Box\n",
"\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Generate Input Files"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First we need to define materials that will be used in the problem. Before defining a material, we must create nuclides that are used in the material."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Instantiate some Nuclides\n",
"h1 = openmc.Nuclide('H-1')\n",
"b10 = openmc.Nuclide('B-10')\n",
"o16 = openmc.Nuclide('O-16')\n",
"u235 = openmc.Nuclide('U-235')\n",
"u238 = openmc.Nuclide('U-238')\n",
"zr90 = openmc.Nuclide('Zr-90')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"With the nuclides we defined, we will now create three materials for the fuel, water, and cladding of the fuel pin."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# 1.6 enriched fuel\n",
"fuel = openmc.Material(name='1.6% Fuel')\n",
"fuel.set_density('g/cm3', 10.31341)\n",
"fuel.add_nuclide(u235, 3.7503e-4)\n",
"fuel.add_nuclide(u238, 2.2625e-2)\n",
"fuel.add_nuclide(o16, 4.6007e-2)\n",
"\n",
"# borated water\n",
"water = openmc.Material(name='Borated Water')\n",
"water.set_density('g/cm3', 0.740582)\n",
"water.add_nuclide(h1, 4.9457e-2)\n",
"water.add_nuclide(o16, 2.4732e-2)\n",
"water.add_nuclide(b10, 8.0042e-6)\n",
"\n",
"# zircaloy\n",
"zircaloy = openmc.Material(name='Zircaloy')\n",
"zircaloy.set_density('g/cm3', 6.55)\n",
"zircaloy.add_nuclide(zr90, 7.2758e-3)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"With our three materials, we can now create a materials file object that can be exported to an actual XML file."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Instantiate a MaterialsFile, add Materials\n",
"materials_file = openmc.MaterialsFile()\n",
"materials_file.add_material(fuel)\n",
"materials_file.add_material(water)\n",
"materials_file.add_material(zircaloy)\n",
"materials_file.default_xs = '71c'\n",
"\n",
"# Export to \"materials.xml\"\n",
"materials_file.export_to_xml()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now let's move on to the geometry. Our problem will have three regions for the fuel, the clad, and the surrounding coolant. The first step is to create the bounding surfaces -- in this case two cylinders and six reflective planes."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Create cylinders for the fuel and clad\n",
"fuel_outer_radius = openmc.ZCylinder(x0=0.0, y0=0.0, R=0.39218)\n",
"clad_outer_radius = openmc.ZCylinder(x0=0.0, y0=0.0, R=0.45720)\n",
"\n",
"# Create boundary planes to surround the geometry\n",
"# Use both reflective and vacuum boundaries to make life interesting\n",
"min_x = openmc.XPlane(x0=-0.63, boundary_type='reflective')\n",
"max_x = openmc.XPlane(x0=+0.63, boundary_type='reflective')\n",
"min_y = openmc.YPlane(y0=-0.63, boundary_type='reflective')\n",
"max_y = openmc.YPlane(y0=+0.63, boundary_type='reflective')\n",
"min_z = openmc.ZPlane(z0=-0.63, boundary_type='reflective')\n",
"max_z = openmc.ZPlane(z0=+0.63, boundary_type='reflective')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"With the surfaces defined, we can now create cells that are defined by intersections of half-spaces created by the surfaces."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Create a Universe to encapsulate a fuel pin\n",
"pin_cell_universe = openmc.Universe(name='1.6% Fuel Pin')\n",
"\n",
"# Create fuel Cell\n",
"fuel_cell = openmc.Cell(name='1.6% Fuel')\n",
"fuel_cell.fill = fuel\n",
"fuel_cell.region = -fuel_outer_radius\n",
"pin_cell_universe.add_cell(fuel_cell)\n",
"\n",
"# Create a clad Cell\n",
"clad_cell = openmc.Cell(name='1.6% Clad')\n",
"clad_cell.fill = zircaloy\n",
"clad_cell.region = +fuel_outer_radius & -clad_outer_radius\n",
"pin_cell_universe.add_cell(clad_cell)\n",
"\n",
"# Create a moderator Cell\n",
"moderator_cell = openmc.Cell(name='1.6% Moderator')\n",
"moderator_cell.fill = water\n",
"moderator_cell.region = +clad_outer_radius\n",
"pin_cell_universe.add_cell(moderator_cell)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"OpenMC requires that there is a \"root\" universe. Let us create a root cell that is filled by the pin cell universe and then assign it to the root universe."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Create root Cell\n",
"root_cell = openmc.Cell(name='root cell')\n",
"root_cell.fill = pin_cell_universe\n",
"\n",
"# Add boundary planes\n",
"root_cell.region = +min_x & -max_x & +min_y & -max_y & +min_z & -max_z\n",
"\n",
"# Create root Universe\n",
"root_universe = openmc.Universe(universe_id=0, name='root universe')\n",
"root_universe.add_cell(root_cell)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We now must create a geometry that is assigned a root universe, put the geometry into a geometry file, and export it to XML."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Create Geometry and set root Universe\n",
"geometry = openmc.Geometry()\n",
"geometry.root_universe = root_universe"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Instantiate a GeometryFile\n",
"geometry_file = openmc.GeometryFile()\n",
"geometry_file.geometry = geometry\n",
"\n",
"# Export to \"geometry.xml\"\n",
"geometry_file.export_to_xml()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"With the geometry and materials finished, we now just need to define simulation parameters. In this case, we will use 10 inactive batches and 90 active batches each with 5000 particles."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# OpenMC simulation parameters\n",
"batches = 100\n",
"inactive = 10\n",
"particles = 5000\n",
"\n",
"# Instantiate a SettingsFile\n",
"settings_file = openmc.SettingsFile()\n",
"settings_file.batches = batches\n",
"settings_file.inactive = inactive\n",
"settings_file.particles = particles\n",
"source_bounds = [-0.63, -0.63, -0.63, 0.63, 0.63, 0.63]\n",
"settings_file.source = Source(space=Box(\n",
" source_bounds[:3], source_bounds[3:]))\n",
"\n",
"# Export to \"settings.xml\"\n",
"settings_file.export_to_xml()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us also create a plot file that we can use to verify that our pin cell geometry was created successfully."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Instantiate a Plot\n",
"plot = openmc.Plot(plot_id=1)\n",
"plot.filename = 'materials-xy'\n",
"plot.origin = [0, 0, 0]\n",
"plot.width = [1.26, 1.26]\n",
"plot.pixels = [250, 250]\n",
"plot.color = 'mat'\n",
"\n",
"# Instantiate a PlotsFile, add Plot, and export to \"plots.xml\"\n",
"plot_file = openmc.PlotsFile()\n",
"plot_file.add_plot(plot)\n",
"plot_file.export_to_xml()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"With the plots.xml file, we can now generate and view the plot. OpenMC outputs plots in .ppm format, which can be converted into a compressed format like .png with the convert utility."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"0"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Run openmc in plotting mode\n",
"executor = openmc.Executor()\n",
"executor.plot_geometry(output=False)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAPoAAAD6AgMAAAD1grKuAAAABGdBTUEAALGPC/xhBQAAACBjSFJN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\nFMTl8QAAAABJRU5ErkJggg==\n",
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Convert OpenMC's funky ppm to png\n",
"!convert materials-xy.ppm materials-xy.png\n",
"\n",
"# Display the materials plot inline\n",
"Image(filename='materials-xy.png')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As we can see from the plot, we have a nice pin cell with fuel, cladding, and water! Before we run our simulation, we need to tell the code what we want to tally. The following code shows how to create a 2D mesh tally."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Instantiate an empty TalliesFile\n",
"tallies_file = openmc.TalliesFile()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Create mesh which will be used for tally\n",
"mesh = openmc.Mesh()\n",
"mesh.dimension = [100, 100]\n",
"mesh.lower_left = [-0.63, -0.63]\n",
"mesh.upper_right = [0.63, 0.63]\n",
"tallies_file.add_mesh(mesh)\n",
"\n",
"# Create mesh filter for tally\n",
"mesh_filter = openmc.Filter(type='mesh', bins=[1])\n",
"mesh_filter.mesh = mesh\n",
"\n",
"# Create mesh tally to score flux and fission rate\n",
"tally = openmc.Tally(name='flux')\n",
"tally.add_filter(mesh_filter)\n",
"tally.add_score('flux')\n",
"tally.add_score('fission')\n",
"tallies_file.add_tally(tally)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Export to \"tallies.xml\"\n",
"tallies_file.export_to_xml()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we a have a complete set of inputs, so we can go ahead and run our simulation."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
" .d88888b. 888b d888 .d8888b.\n",
" d88P\" \"Y88b 8888b d8888 d88P Y88b\n",
" 888 888 88888b.d88888 888 888\n",
" 888 888 88888b. .d88b. 88888b. 888Y88888P888 888 \n",
" 888 888 888 \"88b d8P Y8b 888 \"88b 888 Y888P 888 888 \n",
" 888 888 888 888 88888888 888 888 888 Y8P 888 888 888\n",
" Y88b. .d88P 888 d88P Y8b. 888 888 888 \" 888 Y88b d88P\n",
" \"Y88888P\" 88888P\" \"Y8888 888 888 888 888 \"Y8888P\"\n",
"__________________888______________________________________________________\n",
" 888\n",
" 888\n",
"\n",
" Copyright: 2011-2015 Massachusetts Institute of Technology\n",
" License: http://mit-crpg.github.io/openmc/license.html\n",
" Version: 0.7.1\n",
" Git SHA1: ea9fb637f63f9374c7436456141afa850b84acf9\n",
" Date/Time: 2016-01-14 07:02:06\n",
"\n",
" ===========================================================================\n",
" ========================> INITIALIZATION <=========================\n",
" ===========================================================================\n",
"\n",
" Reading settings XML file...\n",
" Reading cross sections XML file...\n",
" Reading geometry XML file...\n",
" Reading materials XML file...\n",
" Reading tallies XML file...\n",
" Building neighboring cells lists for each surface...\n",
" Loading ACE cross section table: 92235.71c\n",
" Loading ACE cross section table: 92238.71c\n",
" Loading ACE cross section table: 8016.71c\n",
" Loading ACE cross section table: 1001.71c\n",
" Loading ACE cross section table: 5010.71c\n",
" Loading ACE cross section table: 40090.71c\n",
" Maximum neutron transport energy: 20.0000 MeV for 92235.71c\n",
" Initializing source particles...\n",
"\n",
" ===========================================================================\n",
" ====================> K EIGENVALUE SIMULATION <====================\n",
" ===========================================================================\n",
"\n",
" Bat./Gen. k Average k \n",
" ========= ======== ==================== \n",
" 1/1 1.04894 \n",
" 2/1 1.01711 \n",
" 3/1 1.05357 \n",
" 4/1 1.03052 \n",
" 5/1 1.06523 \n",
" 6/1 1.06806 \n",
" 7/1 1.05161 \n",
" 8/1 1.04199 \n",
" 9/1 1.05010 \n",
" 10/1 1.04617 \n",
" 11/1 1.04894 \n",
" 12/1 1.06806 1.05850 +/- 0.00956\n",
" 13/1 1.05002 1.05567 +/- 0.00620\n",
" 14/1 1.03471 1.05043 +/- 0.00683\n",
" 15/1 1.01803 1.04395 +/- 0.00837\n",
" 16/1 1.05588 1.04594 +/- 0.00712\n",
" 17/1 1.07503 1.05010 +/- 0.00731\n",
" 18/1 1.02786 1.04732 +/- 0.00691\n",
" 19/1 1.00071 1.04214 +/- 0.00800\n",
" 20/1 1.05587 1.04351 +/- 0.00729\n",
" 21/1 1.03886 1.04309 +/- 0.00660\n",
" 22/1 1.04335 1.04311 +/- 0.00603\n",
" 23/1 1.04057 1.04292 +/- 0.00555\n",
" 24/1 1.01976 1.04126 +/- 0.00540\n",
" 25/1 1.05811 1.04238 +/- 0.00515\n",
" 26/1 1.02351 1.04120 +/- 0.00496\n",
" 27/1 1.05261 1.04188 +/- 0.00471\n",
" 28/1 1.03355 1.04141 +/- 0.00446\n",
" 29/1 1.02797 1.04071 +/- 0.00428\n",
" 30/1 1.03758 1.04055 +/- 0.00406\n",
" 31/1 1.04883 1.04094 +/- 0.00388\n",
" 32/1 1.03557 1.04070 +/- 0.00371\n",
" 33/1 1.02947 1.04021 +/- 0.00358\n",
" 34/1 1.03651 1.04006 +/- 0.00343\n",
" 35/1 1.03331 1.03979 +/- 0.00330\n",
" 36/1 1.05947 1.04054 +/- 0.00326\n",
" 37/1 1.05093 1.04093 +/- 0.00316\n",
" 38/1 1.06787 1.04189 +/- 0.00319\n",
" 39/1 1.01451 1.04095 +/- 0.00322\n",
" 40/1 1.02351 1.04037 +/- 0.00317\n",
" 41/1 1.04826 1.04062 +/- 0.00307\n",
" 42/1 1.04228 1.04067 +/- 0.00298\n",
" 43/1 1.03214 1.04041 +/- 0.00290\n",
" 44/1 1.04950 1.04068 +/- 0.00282\n",
" 45/1 1.06616 1.04141 +/- 0.00284\n",
" 46/1 1.07039 1.04221 +/- 0.00287\n",
" 47/1 1.00292 1.04115 +/- 0.00299\n",
" 48/1 1.04477 1.04125 +/- 0.00291\n",
" 49/1 1.03360 1.04105 +/- 0.00284\n",
" 50/1 1.04783 1.04122 +/- 0.00277\n",
" 51/1 1.03985 1.04119 +/- 0.00271\n",
" 52/1 1.02507 1.04080 +/- 0.00267\n",
" 53/1 1.03477 1.04066 +/- 0.00261\n",
" 54/1 1.00412 1.03983 +/- 0.00268\n",
" 55/1 1.02239 1.03945 +/- 0.00265\n",
" 56/1 1.04308 1.03952 +/- 0.00259\n",
" 57/1 1.05534 1.03986 +/- 0.00256\n",
" 58/1 1.06667 1.04042 +/- 0.00257\n",
" 59/1 1.06458 1.04091 +/- 0.00256\n",
" 60/1 1.00304 1.04015 +/- 0.00262\n",
" 61/1 1.05038 1.04036 +/- 0.00258\n",
" 62/1 1.02904 1.04014 +/- 0.00254\n",
" 63/1 1.00249 1.03943 +/- 0.00259\n",
" 64/1 1.01779 1.03903 +/- 0.00257\n",
" 65/1 1.05335 1.03929 +/- 0.00254\n",
" 66/1 1.06231 1.03970 +/- 0.00253\n",
" 67/1 1.02382 1.03942 +/- 0.00250\n",
" 68/1 1.03796 1.03939 +/- 0.00245\n",
" 69/1 1.03672 1.03935 +/- 0.00241\n",
" 70/1 1.02926 1.03918 +/- 0.00238\n",
" 71/1 1.05834 1.03950 +/- 0.00236\n",
" 72/1 1.04332 1.03956 +/- 0.00232\n",
" 73/1 1.05613 1.03982 +/- 0.00230\n",
" 74/1 1.01963 1.03950 +/- 0.00228\n",
" 75/1 1.02228 1.03924 +/- 0.00226\n",
" 76/1 1.04842 1.03938 +/- 0.00223\n",
" 77/1 1.02157 1.03911 +/- 0.00222\n",
" 78/1 1.02810 1.03895 +/- 0.00219\n",
" 79/1 1.05030 1.03912 +/- 0.00216\n",
" 80/1 1.02391 1.03890 +/- 0.00214\n",
" 81/1 1.02488 1.03870 +/- 0.00212\n",
" 82/1 1.04957 1.03885 +/- 0.00210\n",
" 83/1 1.03499 1.03880 +/- 0.00207\n",
" 84/1 1.05922 1.03907 +/- 0.00206\n",
" 85/1 1.05898 1.03934 +/- 0.00205\n",
" 86/1 1.02242 1.03912 +/- 0.00204\n",
" 87/1 1.03278 1.03904 +/- 0.00201\n",
" 88/1 1.06134 1.03932 +/- 0.00201\n",
" 89/1 1.04521 1.03940 +/- 0.00198\n",
" 90/1 1.04277 1.03944 +/- 0.00196\n",
" 91/1 1.04214 1.03947 +/- 0.00193\n",
" 92/1 1.05610 1.03967 +/- 0.00192\n",
" 93/1 1.04531 1.03974 +/- 0.00190\n",
" 94/1 1.01534 1.03945 +/- 0.00190\n",
" 95/1 1.03971 1.03945 +/- 0.00187\n",
" 96/1 1.07183 1.03983 +/- 0.00189\n",
" 97/1 1.07214 1.04020 +/- 0.00191\n",
" 98/1 1.03710 1.04017 +/- 0.00188\n",
" 99/1 1.02532 1.04000 +/- 0.00187\n",
" 100/1 1.03965 1.04000 +/- 0.00185\n",
" Creating state point statepoint.100.h5...\n",
"\n",
" ===========================================================================\n",
" ======================> SIMULATION FINISHED <======================\n",
" ===========================================================================\n",
"\n",
"\n",
" =======================> TIMING STATISTICS <=======================\n",
"\n",
" Total time for initialization = 3.6000E-01 seconds\n",
" Reading cross sections = 1.0600E-01 seconds\n",
" Total time in simulation = 2.5756E+02 seconds\n",
" Time in transport only = 2.5751E+02 seconds\n",
" Time in inactive batches = 9.7270E+00 seconds\n",
" Time in active batches = 2.4783E+02 seconds\n",
" Time synchronizing fission bank = 2.1000E-02 seconds\n",
" Sampling source sites = 1.3000E-02 seconds\n",
" SEND/RECV source sites = 8.0000E-03 seconds\n",
" Time accumulating tallies = 1.3000E-02 seconds\n",
" Total time for finalization = 1.4600E-01 seconds\n",
" Total time elapsed = 2.5809E+02 seconds\n",
" Calculation Rate (inactive) = 5140.33 neutrons/second\n",
" Calculation Rate (active) = 1815.75 neutrons/second\n",
"\n",
" ============================> RESULTS <============================\n",
"\n",
" k-effective (Collision) = 1.03912 +/- 0.00160\n",
" k-effective (Track-length) = 1.04000 +/- 0.00185\n",
" k-effective (Absorption) = 1.04240 +/- 0.00156\n",
" Combined k-effective = 1.04078 +/- 0.00127\n",
" Leakage Fraction = 0.00000 +/- 0.00000\n",
"\n"
]
},
{
"data": {
"text/plain": [
"0"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Run OpenMC!\n",
"executor.run_simulation()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Tally Data Processing"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Our simulation ran successfully and created a statepoint file with all the tally data in it. We begin our analysis here loading the statepoint file and 'reading' the results. By default, data from the statepoint file is only read into memory when it is requested. This helps keep the memory use to a minimum even when a statepoint file may be huge."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [],
"source": [
"# Load the statepoint file\n",
"sp = StatePoint('statepoint.100.h5')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next we need to get the tally, which can be done with the ``StatePoint.get_tally(...)`` method."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tally\n",
"\tID =\t10000\n",
"\tName =\t\n",
"\tFilters =\t\n",
" \t\tmesh\t[10000]\n",
"\tNuclides =\ttotal \n",
"\tScores =\t[u'flux', u'fission']\n",
"\tEstimator =\ttracklength\n",
"\n"
]
}
],
"source": [
"tally = sp.get_tally(scores=['flux'])\n",
"print(tally)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The statepoint file actually stores the sum and sum-of-squares for each tally bin from which the mean and variance can be calculated as described [here](http://mit-crpg.github.io/openmc/methods/tallies.html#variance). The sum and sum-of-squares can be accessed using the ``sum`` and ``sum_sq`` properties:"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"array([[[ 0.4107676 , 0. ]],\n",
"\n",
" [[ 0.40849402, 0. ]],\n",
"\n",
" [[ 0.41014343, 0. ]],\n",
"\n",
" ..., \n",
" [[ 0.41049467, 0. ]],\n",
"\n",
" [[ 0.40982242, 0. ]],\n",
"\n",
" [[ 0.40996987, 0. ]]])"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tally.sum"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"However, the mean and standard deviation of the mean are usually what you are more interested in. The Tally class also has properties ``mean`` and ``std_dev`` which automatically calculate these statistics on-the-fly."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(10000, 1, 2)\n"
]
},
{
"data": {
"text/plain": [
"(array([[[ 0.00456408, 0. ]],\n",
" \n",
" [[ 0.00453882, 0. ]],\n",
" \n",
" [[ 0.00455715, 0. ]],\n",
" \n",
" ..., \n",
" [[ 0.00456105, 0. ]],\n",
" \n",
" [[ 0.00455358, 0. ]],\n",
" \n",
" [[ 0.00455522, 0. ]]]),\n",
" array([[[ 1.95085625e-05, 0.00000000e+00]],\n",
" \n",
" [[ 1.78129859e-05, 0.00000000e+00]],\n",
" \n",
" [[ 1.89709648e-05, 0.00000000e+00]],\n",
" \n",
" ..., \n",
" [[ 1.56286612e-05, 0.00000000e+00]],\n",
" \n",
" [[ 1.65813279e-05, 0.00000000e+00]],\n",
" \n",
" [[ 1.67530331e-05, 0.00000000e+00]]]))"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(tally.mean.shape)\n",
"(tally.mean, tally.std_dev)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The tally data has three dimensions: one for filter combinations, one for nuclides, and one for scores. We see that there are 10000 filter combinations (corresponding to the 100 x 100 mesh bins), a single nuclide (since none was specified), and two scores. If we only want to look at a single score, we can use the ``get_slice(...)`` method as follows."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tally\n",
"\tID =\t10000\n",
"\tName =\t\n",
"\tFilters =\t\n",
" \t\tmesh\t[10000]\n",
"\tNuclides =\ttotal \n",
"\tScores =\t[u'flux']\n",
"\tEstimator =\ttracklength\n",
"\n"
]
}
],
"source": [
"flux = tally.get_slice(scores=['flux'])\n",
"fission = tally.get_slice(scores=['fission'])\n",
"print(flux)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To get the bins into a form that we can plot, we can simply change the shape of the array since it is a numpy array."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"flux.std_dev.shape = (100, 100)\n",
"flux.mean.shape = (100, 100)\n",
"fission.std_dev.shape = (100, 100)\n",
"fission.mean.shape = (100, 100)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7fc3808ca950>"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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3CYgyeqSJ80yPit9HFT8AEYpYSBioHKmt0DB03g+epCiHqRAgQIVn3W8gNKjKPvxUiZFD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\nLjAFNhpx8reeoGFzET+yyjCzlBb9bL7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iMlLCwDArSILGbeUwvcIabqNCCTsKTUKkKeDF\nqZaYEG9yMXMeLwUOSbdZo4dNqYusHsFLAS+t8PxuYQ0H1QcumA1smAhsZbvYqHTT07uMQy0/7KH7\nA2NqvwPnUR8xb5qT61d5hK8wP2uyZbxbqrA2S4uGFthaGnY7+/5umrRl7XKGVc9oq9PuMULb+S0A\nt1i35cMt0wJ6i6lb+nb7OYXdi92eBK+4ygk5wXGxn0L8OMnng5RvFmisvL9gqw+CPXTAzk6H0MtB\nUu4wZclNwfDyMfHbnHW9Rdi1jUcosmQeYc3s4V+Gf5sjwi1SQpgQaZqCwmXhFJt0kibEmzyOKjVI\nGp2ktzopVL1sq3FunjyCw1PGTg0XJY5znWFhnnPqn5Kgh1scAcCbKrBxxWSi5y5nY2/STYIkHWQJ\n0s0aH8+8zIn8LUS3wWogRsyzxT/l9wgX8gRTBcSaTj4aJO/w4RaLNHN2Cqs+To5eo+GXeYmPYrKJ\nnToBstipksXPPQ5yWLqDTdJwkcFHHok6VZwwZaJMaUTceTBMUKv8zM6XWPPFSLpDyB4NYiAbGsOO\nWXZoZQXsYBsbNfpYxkkFb7bM/oUcnoaTfJ8DZ7zClLSPy9IxNqUYaUJUcWAg0kOCCTZJ7eaaXmKA\nb4jP8xhv8Qwvs0wfTUWm4ZO47DzGhtLBc7zAV5qfYY0uBmyLjI/f5sDYXexGldUvXWHMU+eycIov\nD3+W/JCPsJjiI3yH41znRfFZHFQ5otwiPRAiKGQZ5z4+CvSHlxGDBnaxwn3GmGaUAZYIkmGNbnpI\nkMfPyzzD2sYAjlSTsdgMBdX7N4y8vzfL3E+FGPitAT723/wmQ6+9xVXdpE6LmSrsacjtICzTmvCr\nsTeRaEka1sSf2FbXKpN2+22yB9IWsFogawXZaLTkFasf64HRbu16tsLehCRtf63zW7p6yoDVhsnR\nN36X0POP8uLn/zWL/3KZ9B9u/C3u3gfLHjpgG2mZyht+phqH0WIK4j6de8EJIrYkG0YXc5tj2MQa\n/6Tj9znbuER/I0G9niDpCbFq6yJJB04q2KoNLm6dJxBIg27SXJTxxnIEe3fwerL4lDyd2hZPp1+j\nV13hddJkmWCyMc6t+hGedbzI/u55nD9SZaMrxnWOo1Knky32M4eIgehvsmzroq+xTjiZo7Tt4ds9\nz1JzOwjKOcb1SXocy/x3/N9s0cEV6SxTNh8Hm/fpaGwQUXe4yQwH8BNhh0g1S09lm85KGj0Im9Eo\niU90k+5spYeq4qDr0CYdvTtocQmPu4h3sIARESl7baCY5A660AYENCQuB0+RpIOmqfB6+QnCQop+\n1wrhXA5/uoSsGbgSNQq4WO3uI1zKMtJc4KXwR7FJdWJsUcVBGRcr9HKMG7uLIbsRMCji4SLnWKOL\ngJyj7rRhl6oEybBOF4PyIgeocY6LiKKJIJqoNLgmznNOKOKlwBHxJhI6efyY0EoFQMujY6PRxezc\nAbQ5lYWNUUIfT3K8+zrP1l/BqVXIyT78rjxeCjR3f4YyGiIm+5mhsu2jkPBTPW2nguthD90Pvdn8\ncPhzIgO+28R/5SuEbkxi6I13AaQFABbgtjNhpa3cqmPfbVtjD4wt2cMCbNhj6pbUYu7Waa/naGtr\nSSrtGvZ75Zl2KabWdp72sPd2QDf1BsGbkzz2L36HoQP7WPxXEW79J6jn/3b384NgD3+JMFeWgeYk\nm8U4FY8Te7NK01RQs02imynWzRpx3zrPCC+zr7qEo1angZ2K4SSPjxIePBSJGCnWG/3kdD+GKbRk\nBleaodAM3bReoQNmjlFtBp+U23UrspHRg6xU+ijWfXTaN5g4epM5hijXXPgyRXS/hGTTGWvMsmjr\nY92I0Z3Ywl2v4HTWWTN6WLL3IdoN1okRKabwbRVxB0ts2btZC/QRkLOMNaeJNlOs6W78hkBUT1HV\n3ThKDcZXZtgqh1mK9DA9vp+aaMcwJUTDpB5XycfdJKUoml/GYVbZ35ijLqrkZS+1uA0HNQxELppn\nSTR7kRom95vjDMiLZAgS0vP4KGMqDdS0hiSZ5Lp9xI0k/doKI+YsboqESLNJJ8v0PZCObDSo4aCO\njRz+BwsJ6KZEw7DhlsoUaK3WHpW2CZMiuDvxq9CksfuzLuFGxCBEmhApatiZ5CD3GSFAFht1KrqL\n3GaI5FqMZK6DZ5vfYp+2yNHqHZJChLqo0s0aIgYGIm5KFHYXTu5nhaIrSNoXxisVKTb+nmH/debt\ng+5jOoeHtxi8ewf/H196kMfD+mtJH+3yhAXYFqOV2ZtghD3Gq/JuZtxuUtumttVt0ALaZtsxcfdz\no60NvBvA21m61NbGAn4L2K2t3XPFuZpk6I9fJPgvzuA4OEHxqQjrN2TyK+8rQPbvzB7+ijMn7/HP\nPv4qXzJ/krscxBRETqhXefTm2/i+WaX4D/6EYsxJ2XSh5A226eCV7ifQxZZ+aSLgI4/PmSe+b517\n4kHu1w9gTIgEfBnGmOI0l6niYF3p4o3YIziFMknu0UeeMCkaho0vrv0Mh1y3+cTo15DQGEot8/zF\nl/m9U/+Y6x1ejm1PYgRVSnkPxlsi7AfnQIWD8iQaIgsM8U2eJ7MaxTan80uP/j6x4Dqd7lVSgp9m\n3sbI9iKF5qMktRjRcpYvOc9jmBI/tfgVoitp8j1+Ns52M6TOMWZO0dnYwtmsUxD8bLliXBDOk9Ii\n/Gbmf0FyCCz6B8kRQKGJjMYl8yzT5XHqaTf7OyaJupJs0okWkKliwwxMgWkiFgzsRo1qUMVjpvlV\n6d/RRCFDkBscQ6VOhiCzjJAizDZRBAwOc4dxJukgSXdji3hhhynfPup2G9Vd3/QaNu5zgBFm8FBg\njR4u4eFVfrGVQ5ssfazwBBeo0Eo9++N8mTGmMJC4IZ4hf9xL7GCCTzm+wlONC5hNkUv+U6za44TI\n7Ppw73CQu8wwQhkXXvKcfOQSom7gtpd4LfXRhz10P9S27xNw/pdrdP7aBdxvLCHR8uCw5Ih2LdoC\nXEsaMdo+t4OoScvlT6KV5bod6EXezYrb27W77LV7hMAeA7cYt0AL1Ou77SztWuPdDwhLHrGCdKwJ\nT4nWWwDsRVPWAfn/uUHnExk+/jvP8dp/8HL99/8esL+rKXITl1IhleogXYtho85qRx8X+wSKz/kY\nj9/BIxXQBYlCwMmGEGVG2o+IgZ8cB7jPfQ4wrY2xUe4iYwtQbTgwtkXWpvt4U3mS5WMDuAIlnFKF\nQWmBGElSbNNkBK9S4AnvBVJiB4PKHGe4zDH9Jj53gdoRCTGoYW/UkJIG14TjXHA+zmvnnuKj4ZeZ\n8NzmlH6ZVaGbC0I3yWoMr79EbCzJq9VniJU2eM75AgdXptFMhXcix1HkJp2ZLaRJg/WD3VSCNtKn\nPOiCTMbtQ5QMVBrogsSiMkBvdZNAPs+JpdssRIZIdnQw5R2mQ96in2WmcLJDhDIu+oQVwo40ekgl\nYEuxX5jjEHfIiz6W3X1cjThwHokjyRqCojFcXyRfi/DHzZ/F704TcSbZopPZ0hjJaieP+S9wXL6O\nbGpMigfoZbW1Og4FfJUC6madoD3NiH2GIFk2iZElQBUHKnWcVKngpI8l+nmBd3jkQdCMnXor7SwL\nDxbXjSrbdO1foWETcHmK/CXPsUYP494p7qgH2RBiSBgc4g4BslRw0rOziawJpKIhCqoXAwk7NWzu\nysMeuh9KkztUQr8Yp8s1SfTfvoJ6ZwOx3HjAZmGPNbfnArGiCy1PDotlW0zbqqvwVwNhLN26PQDG\nAvB21mvwVyUMi9GrvFuvlnm3RGI9aN77UGl/2FjntlwK28ulcgP77U2k33qN6MDTdP6rcVJ/tEVz\n26r54bCHDtg1wUHC7GGn1kGh5MdhVLmmnGbSN872uQjr5Ri9lQQOV5ltb4QNutggjoSGjkjn7uTY\nfHmI2ckDBHtSeN1FitUwO5sxclqQjbEYMf8G/SyzjwVs1BHRW37OcoZH5bfIufyM1GcZz9zHsAuk\n1DCvhx9Hs0vYqxVuiYe4ZR7hov0sb448hqkaeKU0Hc0dfGYeN2UEfYvRwDTD0Xku7jyBo1nltHmZ\n7so6KXuIhWA/Ae7RX0nTKCtUNQdlr53KAZUSHtL40Xclh6Lgpio5sIk66CKBQo5R7wxp0c+Cqx+n\nUaJPX2ZeHEYTZEwEOoVNZJsGNtB3gauJTBOZNVsX17xxyvsOEyZNHyv062tUmm7eqJ8nZE8ywn0A\n6podoSJwwJxmwnUbh6OC38xiE+rIaKQI08SOzdRQzCZxNuk3V7gkPEKGIGWc6LtDR0ckRJYRZrnM\naQRMBEwyBHFSoY9ltuhEQqcpK8S7E0g0HkgmBdkHskmKEDkClHBzuHwXt1lGd8p4GlU89RKGKVHG\nRVn3UKz6sCnVv27Y/XBawId9n5eRgzUGLi/i+aNbwF+d1GsHy3Z92opatACbtrJ2YG3vQ+bd7Nlg\nD9QtKUVq68sKnLHqN3m3i58F0ip7mroVcWldr9Xeusb3BtgI76nzoL/1IuIf3qH3l4eonN5HcbiD\nZrMA2Q+PqP3QAXtL6eDb8gGqnTK2YplqxsG3557HG87iGU1zb+kYXiXP4OgMLlquWiXc2KkxzzBv\n8Rg26iibGnxRZPjj83Q+vk6mO0bDYcNGjSH/HAEpg4MaRTzcZYJJFM4h0k0CD6VWNr7MJqHJIvcm\nRnjB/Dj/8dY/48cmvky4M8lvTPwbZKnJQGOZe8ljXA6cQw5ojKuTeCnwk8IXsbnrDJtz9LHCiehV\nRMHAIxbIDzupiQoRY4eB8gpDjjrZp1x47Vk8CDioUsBHBSc5/KzRjdsscbR5kxnXKNddR4h1bdEr\nL9HNMt/gRyloPvyNIgWHF5dU4iD3uMlRtokioSNgkCTK2zzCKa5QwMcCXuAAgyzioUjO6cHlKPGU\n+W12xDA17PSxQo93Da9Q5Il7F6mE7SyNDDDBXXL4ucxp7nCIbv8aP+L+Bk1FwWFW8RoFyqKLlBAh\nh4914hiISOis0UWJ82QIoaGwxAApQvjJ4aTCDhFW6WWGESa4S5RttogRY4sYm4RIU8KNgImPPOMr\n0xxoztIcE1iO9jPFMDnJj45Mvubn+uIZHo+8+rCH7ofPDh/AfbSDx3/n1+hfuvIu3bd9AtBgDwCt\n9xSZlq+z1caSJyzAtADQAj877w6QsRi45TXSDpbQkiUs+QLe7SJo7beDNeyFplvpWuHdAG9NYlp6\nN7zbT9z67o62NiZw6I9fIvB2jqmnfoeSugmvvfPX3NQPlj10wO6WEojCCB61QGnDS/VtD8W6h0ZI\nobzjonzLi94tURu100Ni1xfXQZIO1rPdLM6OMNJ/n87IBs2P2QgN7SCVdLhm4oiXcR4okLX7yRUD\nSCUTPSwxqC5g12pcvXUGu6PGoX03OXR7ErMm8mb/I3y79Bxv5J9kvdLNhtZFBZV5BhkUl+hRE4T9\nWc7IlzhVvUKHtsO8OkDWFsApVtg2WwvtRoUkaUK8w2kMm0QRDxkzyDxeSkofXe5VRAwUmrzNOao4\nmGsO83b5UQYci5RUN4vSACtiPxtCHJdS5iwX2c8sIjpZyc+K2kuXsE4WP2kzzJnqNUwBMnYfHdkU\nC8IgXw58ejeYRUAkh4fCgzwoNdGGhwJ+smzRQYZgK1hHTKA4GrzVc4aoLUm0uc0d+TA5wUcNBwW8\nZKQAO1IYHQkJg4wYpCI4cVHCtrsyTRE3WYLUKaHtDqUmChWc2KixQbwVnk6BXlaJsUWA7O7qNjUS\nWg8yGi75GmFSxOtbDBRWGVIX2XFFeVE8j01qYBPqHOUmIgZNw8ZH6m9i08p86WEP3g+NeYFxHl9J\n8HTty/TMT6IWSw+AywJhy3/5vdKEZe2qrgXUFnhaQGoBfq2tL2vyr92X2gLIdl3begBYoGpdg3Xu\n9/plW0BtyTXvDdZp9x5p9xO3tmbbNVr5uauAkSsRmb/Pf2v/v7iwdZqLnAKmaOUL/GDbQwdsj1BE\nNAzi4gZCScTYUCm7XBhFieaajUAqQ29wuZUhj0UUmiTpoGI4SRcj5OeD1DxOXMMJjjx3HbtQpbTu\nIZhKQ4+BM1pAQyad7qCU8SH5moTVHSRd58biCQy/gDpQ4dzmFQSbwMK+Pm4vHWa10UfAn0ZXReqm\nHZdexilVCCkposH7nKxf4WjtFsFKgYLbw4JtgApOCoIXCY0gGWo4WGKQEm6qOKhh567SIKk+yQHu\nc5C7KDS5ywRuStQMB/W6jawaZEYYIS95qeGgYjpJG0ECQpZeMUGAHLoksClFCbNDHRsJs5fnqy/h\nlzMs2brpqW6hiBoSxgPW7SVBJ1sEyWAC+d18zS0fEtduEIqKiUhVtXO99wAntGsMa7NsmzEyUgC3\nVMRNK8imtZiTuyVFCC5ShDARcFLBaVYQTJO0GEJhkR4SZAg+uA91bGzTwQ4R+ll6oGcvG/2kCVIS\n3CzVB3EaVSJSioZNJaRlOVe+hOaTueMa58+kz3JUuMlxbtDPMk7KeMQyUUeOO8r4wx66Hxpz2gT6\nIypPZy/z3NLnWaO11K0FmrAnJVhM2PJZbvfCaAfR9pBxjT3mbMkY1qRgex8W+Fvg2Q7I7ROQzbZ6\n7b7U7RGM1vkskG6fuLTaim3HDN7N1KEFzhb7t/q3WLujsMUzb38eKQDZnn/A8rZIpd7+2Phg2kMH\n7Jv6UUKNEZ5TX+DA4Smm+8e4WTuCoYh0udY58vRNTtmucIZ3uMExrnOca5xgs9ZJVghjDEpMi2OI\neY2fC3yBkuRmM9rJYz/1HRoOddfFqMGkeoQ7rqNsSHHuMoEhTpOPeWm4FO4qE8w+Psgx4Trnhdcx\nuyWGO6bZMDo5Yb+GT8zjd+RoCComAinCXFePUjPtPFV8i359GQ2BBQYfeDCUcCOjcZzrDxijT8hj\ntxu4XT6WGCTMDhLrBMgwwgx+NceTode4LU4wy340ZHpJoBky3y5/DEnV6bWv7oIq2KmTJEoTmSjb\nqGIdu1AjKKbZioaponKCa5Rx0UQhRIpOVEKkkNFYZB+bdHKVkzipMMQ8T/EqCk1ShPFRoCkp5PHx\nyfy3mFWGuOQ9wSCL9LNEN2tMcpAkHaQIs0w/Jdx4KHKkeZugmeYN9XE62OJ5lukhwVVOMs0oOfwU\n8VDEQ9bwYwitn9pLtWfISCFsSp2dahRv4SrHqvdI94RJuwOsxGOkxAh3xHESQg+DtFLcLrAPMHE7\nygwOLbItBf+6YfdDZYPRJf7dz/wJ5o1lrr20l2EP3p0C1WKZEnuZ9Cy/6vbgmXZQtBI9WeHn7Uy1\nXaaQ2vatz1Zq1PZJTpGWRGH1X2ora5c22r1JbLRC1dvD4O1t12eVW5q51YfStt9s23RaUtB94Ny5\nr/PI8dv8+h8+xuSqnx96wA6IWVShwd3KBA3NwY4tiuaUcduK+B0ZinjI4UfAxEmZ8G5Ojp3NGGZJ\npKN3DY+9QK9tlV4hwTJ9yIrGYGSRNEEyBFFpMOycxivlWRD7KRluHJLAx/q/haGIaIJA1utnmlFk\nNOxqhUPqLSa4zUhzDl+5wIHqLJvuKNuOSMsTQnCwke2k+ecyoUAOaXiegKNANupjJxriKicJkuGY\ndoPgWh5fqYiDKtfqLiLSJCXcuCnTsZxi5NU5YsNbuP0ljMwqYW+WA745ak47K94eVuw9nFdfo19a\npoj7AVN1GFV6S+sMSisYKviKBUxFQPdKFJVW6lcJnZPaVTRkVgAXZeJsEiTNS/qzvGOeIS2FGBCW\nsFN7cL9KuFmml7nKfm6XjvOo+hZ+NcNh7lDDjpsSOhJzDHGPgxTx4iOPmxKbdGIUZQJakWA4w436\nAP85eYZkuQNnoMTRwE1clFuyFl3ogoSXIhWcuOUSefxkjCBBe5o0AX7f9o+pKQqSqJFSQ/Szgn83\nJ8sOUS7Un6SS8xB1bzFuv8e4Po1H/PvQdAD7s53YjrgorGxCIv0AiC0f6vbFBCyGaoGzlZnP0pwt\n2cPJHnNt9/6w9i1vEYsNW6APf5XJw568YjFoa0JRYy845735stvD4a2JT3i3f7cVOWlp49ZEZztr\nt8xi2ba2a6kD2eU0RtCG/afjOG56qb74wY6GfOiA3SVuIMgppspjlKs+RA28/ix9+hJDuSWWXX3M\nKCP0s4yGRBfrOKmwmBuh2nBxKHoDv5Kll0TrNd/0UjLdDIhLVHBiIiKjM2Kf4rDtFn+pfRzRNFCF\nEp+O/BmK0GSOIUwEJrWDrDe6mLDdoVtK4KJCTE8SqOXpym8TVFP4HJ2s0UOGAELWhJfB0V3DbtSJ\n27eZFEaYio5wlwn6WeaIcQslqePbKRIhRUfdyyDz7BAhTIrOtS2Of/kOwnMG+j4RbUVhMLbCQHwV\np7/KK/p5ym4Hx93XcUklFhhinS7KuPAYJc5WrhFTNqkpMs26jarpQqPlNSKj4aLMsDFHCTcVhmii\noNLARYWC4WHLiKFITfzk8JMjQxC/mUc2dXJCgLn6KFrJhi1e5Unbdzih32BKHKEqONikk22ibNNB\nlgBdrOPRStSqDmyFJg5q9Jhr/EWjl3dyv4CSafKM+pccDtwmSOZBAiddkKhjo4CXPnUVwxDJfzTn\ngwAAIABJREFUaX4CjgxJZ5jP8wucEd4hTIpFBug3l+lnmQnhHiv0sqQNsJHrZ0K4xUEmCefzVN3O\nhz10P+DWCg+JHXETO9Fk6osCgeUWkFkSgSVTWFp0u55tyQcWuLYHuVgRiDVakoLVnzXBaD0M6uyB\nfDuztfpvd8GzHgqwF6zT7lFiseR2r5T272ElnrKOS+/p33rgWJGU7Q8BC+SV3e/WrnGv3YNcWaTz\nt1WypoPFF5381SnSD449fLc+bHSJGU57LyO5DZxmlQF5gYml++y/u8CXznya+c5BXuA5ulgjyjYx\ntnD15uk3avyC9AW2iJGgh2/yPFONUZq6woB9CVVsECbFAItE2cYm1BFlnRIeZs0Mg9ureNU8/kiW\ndeIsFob4xvJn6BtYJRco8i2eZ1BdJOjPUnM78ClZ1N1swEMs0OtI4NhXpXZMoXFOxj1Zw62XGGCR\nH+EvKOLlHfkMNwaP8UjXZX5d+vc4dsp0Gpt0ieuoNBB9BkxA/bBE7pCH5PEYs8owDdXGcfk6E7fv\nMZhaYv7xPu54D5GghwEWW0mZpAb5kBOEECXJxfWek/iEHI9wCSdVOkhyhFu8ojzN25xlnTXu00kB\nL0XcCLLJ4+YbJIRuxpjiUd4iRBp/o0SjaQMHjHsnkZw6T6vfYaQxh7daQXOpLCqDpAlxjrc5zG0u\n8CQGItFsip+7+0U6ejdoxCT6pSUGnXnGe79BLL5FyJZimyjXONHKcUKePD4S9JCgm5NcIy5ssi1H\nSdajdAhJztsuMCgs0kESF2X263PoSOyTFzjFZSSHwWLvPg4XJzm8dQ9vvYhL+WGPdHTz/5H35kGW\nned53+/sd9/v7dv73j3Ts/XMADMDDAACIrhTJGNTtkiZYkxLcpw/4lRKLqssxVVOlKqILpcdJ3HF\niuNYkVyURFqhSXEnSIDAADMAZp+enu7p9fZyb/fd9+0s+ePOQZ9pgtrIARHxrerq2+ee851zu08/\n33ue73mfF2b4wB98nQ99+Rtsp7NvgZvGAfg6GxA4rUltqsKmFuCAr25zQH04TaDgwCvbzpKdFqlO\nGsYGRDujbx+6HruE3Flk48z87acCp+SvxUHmj+PzOP237QlGcYxl27zaxTf2sTZtM7S7z7nf/Ff8\nae1D/C4fBpaBd6fU75EDdoJ94kKWafk+Gm06qLRwUfYHyA+Gkd1d6lUfS9k5ToT+b2a9qzQ0jeng\ncs/IXugioeOmiYTORelVRMGgI6istSdpdD084/4Bk+YaLr1Dn5ZlUxxmDZ1N9zCDstgDgm6DjDBI\nf3ibFXWSIgE02qyJE6yLFj65xigGw8Y2w817xKw8UbmA+lSXxpRKM6lhtkXEQG/BcY0JygTJCTGK\nwTBZK0pKGKSjFCkKIW5yinHWGRF3QIWWVyMXjrDENFsMo9CljUzSzJKo55FqBkuuOdJqP1FyDLPF\ngJDGK9XooJAXYrRdCjW8bJtDDK5mCIo1mpMqqtDBQ4MYeTqMUiZIgn1mmytECwVymzEmfGtMJVZw\nh2vkxDhZK86ZnZtMeVdphxSmymuYlsSiNktbVEmu7zF6bYfxC2vUBt2UCdFFwaV1uJs4Qjnk6TU4\nFsJ4pDqD7i2auLjbmqNd0+j37CKLXdq9NsM08FDFT5Y4LUHDRMQltYkJeUaEFGv1KVaYpc+7y5C4\nzWgnxfnqVbKeKE1NY959nUljHS8V9jxRUu5hem2EfjYjMtLkxM9vMvz6EuYb62/RFC4OPKSdftY2\nxws/3AwADnhkO1u2s12bh7YtUW2QdlZDHvYAsakYJ1Xxdq3FnE5/zozffs9ZvOOkWJxqEKcSxHm8\nfR6dh+V/zsnLzsqVdgdhaZ3xx5d49hNHufXVJoXUD//O3w3xyAE7buQQ2yZD8jZusUleiHKLk6T7\n+tnsGyZHlG5ao7PmZWQszaiyzYI2zYiaooGHDEm6qIQo4aPKEfkeGm2+wYfZbg/TarrxanUSeg5f\nq0VczCLJBhp+VsIzmCacb+7QV85TkwPcGb/EClMUCHORSyxylEbLTTy3j9fbICYXmK/fwW22EEUT\n4RxYAYGuJtGdkGmLCpYlUNGDlMQwLcnFiJrCT5U1JmhaC+wbSV6TLxCkjCmJ1NweWqJKU/dStCKY\nkohLbCJigsfC7WkxW10l4c1iqQINvKh0GbB2CRolqkYQ3VQYlnZoyi7uW9P0L+VxmTUqQR8D/l1O\nareosI2fXpOBae7zZO11ZjZW4QdADMxZ6MwJ7PsTrFrjfDDzAnpEIBOI4y23WNfGeDXyOAPsMrG1\nwcTXUjSHFYxklEFph3ZXI+0a4E+Pf4DTXCdGjnXGgRsEKLPMNEvto0gtk2fUlzAVkQ1hjPoDoyYX\nbTbNUSxBQBW6+NUaSTLErBxfLvwtNoRRprz3OCYuMKOvcjZ7i/+U+Bjr2jBP8Bq6TyTti5Gmn0Vm\ngFce9e37Lg2Z+GCTn/+7d5DbKe6/0ctcffRA12n6Dw8DGjxsp+oEL7ujjF25KB8axym3c/pRHx7T\neV6nQ5+Tb7apDWfmb792yvScZk52Vu8Efrts/e2KZ6xD253vOwtvdHpNEILzm3z0s6+QvjpNIWVT\nI++ueOSAfbtykp27v8DLA88QDeZIuPZ4nDexEFhjgmVmmPKu8xuj/4JLsQu84TlBhDw3mEehyylu\nEiPLHkm+xCe5ylkG6S0MPOf5HqqrzZJ8hF1pkD4hy2OV68xZK8y3ZJ4ycvhLNYKrDaSbJmafTPPj\nHua5iYzOBqOc5wqTN+8T+Wd7hN/XwP28QWHcj08U8dbrqFtWjytWG7h3Da765rkeOsnP7b5MyrXB\ny31P4KdCgn26popW0Unmsswkl3mMN4kOZ/nBLz3BnLbEkewag/UsG/EhKkEvHTS6brX3X1IAn69G\nfzDNKBvIdNkRBvHLVcKZMo+t3cKMiGwnBliMTSEkwbXYpv9/yxP8ZJXY8RwDpImzziqT/B6fJag3\nmJFXYRLYA/EWqH6L4+ElJuQt3GNVdr1JsnIMkrAijrHJCH3ssX5ylJd+/Rk+5P0OjUqQr4R/nrXU\nLANGms9O/TtMUWSTUW5xEpUbHOEebTQS3iw+V42nzEukjBG25OHeAipNhsxt7jWPMCxucdF9iVuc\nJEiZOWsR/26VqFDgwuBrIMB+J0GkUMMbqAFwk1OEKKHSoUKABj/LHHYS7e4o/f/gi1R3dqhxsAhn\n0FNlOxUVtp+GnYVrHKg2nD7TtgOeszTdzmBt/tjO2g8Dh1OP7axItPd3AqhTYmeDp23YZEsGmxzw\n6vY+Hg4WN216xObAbZB2Xod9Xrtc3TaZsiclm/6xjae0r+0i3JCQlp8HQsCdP+fv8M7HIwdsZHD5\nmoTUEi3RxQrTDLNNU3ez0D3GjLrMsDvF/cQE1z0nKUpBpljBTxUvdfJE6KKwwyBrTFAhgLfV5Km9\nV8kFoqyHR0nTj0+o0REVThdvE5ByeC2VVSYoKWGigRL9Q2ny4TAD7HKC2zTw8F3ei0KXpLTHsCfF\nrn+EDf8AdZeLQXGbocYO4f0GuEFPKOTdARR0phobTBtrqHRI0U/rgb45L0S5Jx8hqA7yPr7DJCuU\nvSG+4vkolWaQE607eM0GRSlEzfQy0d2kHvSwMJpgWxxk150kTIEGHvr2sgxlMwSSDfyVJkreYCk2\nTdN0M1VYJxePoHdFBoxd2l6N7dYwy0UNb8PLiCdFjBwhT4FCMkjG30fcnyeeziNeBd9sDXWuSSOg\nsqUMclM4RdKVwaLH3ct0qYYClP1+hFfAL9VIPLVP1t1PrJ7jVHqBS+ELrHkmHvyJdRLtCs9kL3HD\nf4qqz0e8WqCjueiX04iYGEjogsyWNIwgWoiYzLLE0fQ9xhdTDLm28CRqnON1hs0tKoqPr8Y+xGuV\nJ9jvRpkdWCQm5XDRYpshavge+a37bo3oXIfJ2QLmt/ah0XgLhJ2ZsA2QdvbpBC97UQ8OuGdnpaCd\nbR9WfIj0wM7p1HeYT3YaOzkzfae80EnNOP237TE0HjZ1gh9WtzjVIPZ1O8vRnddhX5fTOtaZvb/l\np7LbwCxnmX5/nnpJZvP7vOvi0VMi/n0Gp69yhmssGzO83H6Ga9ZZqh0/u51+Pif9exqqh98O/mNc\nNImRo0KAYyzgpc4mo+jI5IhjICLTJdQsc+b+Lf505ENcCZ9niG1kdDqGilkV6HpE6orG68Lz3Ase\nIRws8vjR1+ljn1E2meI+e/TRxkWRMKWhKMN/J8e9o3PcGjiGJrYwBQEfDVxVk1ZboawEyCSTROtl\njlWX8Lib1DUXR4wlboonKQqhXsMFfxwlMsh/zb/BQuCadZZvmR+g7dbIecLEybLIERTd4JnWZXLB\nEDfiJ3nFfAqX1CRsFcgZcY6vL/HYzZtwAUxDoK56eTM6T1gu85Hdb/Ot0efYHukjcC5PRfSxUpzh\njdw4AzWN93m+yQUuo4S6rIaGucJ5Hk9eJ3qvgPlFiWZEph5TqRBgWZ/lkvEUs8oSx8XbnOUqGZLI\nps5kew3v1ToutckHLn6bgYE0gWIdz1KHNXmaZc80I6To0sbbajC/cZf00AB7ngRiUyQoVBl2bxGk\n1CvWEdzcd03TRmOXAS5yidNbtwh8o8HAZ7YJTOWZZJWkkWHJNcu/nfocN19/jOB2lePx24wJm/is\nKqvS5Fs0y89eCIycyXD2kxWqlzoYvXzirezT5p/hYRC1QfDwIp9t/u8MnQONtZNvtmVxtuLE2ZfR\nqfrgwZhux/hOasJWl2iOcRUOytDdPMxNO6/LzpKd260Hxzbp0UJOoyvnoqQNzvZTh9NTW3ywrevv\ncOG/vAarE2x+38W7Lf5CgC0IggS8CWxblvXzgiBEgD8CRunRP3/LsqzS25+gV6TxNfMj7KUHyKwO\nU6nGONV/jb9/4t+yIk+xwRhe6pzlKqNs4qOG8mAeHmKHcdaxEIizzyC7BHwV/vf5X0N3SzzLi5x4\nUFEoqQbSWJuiHKAqe3hcfIML1mUmrVW8Qp17whG+zCfIEUOlQ5Q8QUpUwj6++sQHGN3Z5hdvfAmm\nTXSfSCXgY/upIdpeFRGDPvZYcB3lK+JH+XTjiyRqWU6XFjD6ZNbc42SJE2EVGOQLfIoSIXJCjCPi\nPRShyxoTXOc0DTyEpBLf9b6H49VF3rv/MqdrC3w99n5uBY/z2c3/yKnind5/oQ7VmJfcQIiLXCZQ\nq4MEgmBSF9ykxGGGhC1+wf9HuAdqjISeIE2SVSbJkGSJWa5xhoC3yuzMIru/OkA3Kr9lk3op9QwL\n6/NMnV5hLTLBmzzGDMscqSxzdGuF6FABIywwLqyzzjjbvkG+cORvsuUewP+gIrJFC90r8vrcaXzu\nMs+Z38ffqbKl9rPJKHmihCgSpcAAu71GB9ygio+XZ57k1c9Z3Bw6QQ0vX+BTTEqr1OnJF3H1Jixd\nkFFKBoF2E3+8RkP+yVAiP869/c5Hr+Xt+EubPL26x91y66Hs2QbiOgdSPo9ju9OrwwZW+1g4AHuT\nAwrFKQ20j3FmrDZwujhQcDjHt8O5AGlLD20qwrlACQ/3fHTSOva1OmkUkYOqTluO6OTHBceYThC3\nKRN7fLvYJ1Bqcv6fv0yn1uA/86zjqHdH/EUz7H9IrzDI/+Dn3wC+Y1nW5wVB+McPfv6NtztwtzhI\n9XaSwfEt+uVd3J4OQ9Y2J7w3mFRX2KcPAwkPTZ6sv8podgspZdIZU8klotzXJlCELj5qJMiSJINL\nadGMqfip9n6mRaxSIFIu4XE1KSpBWoKLE4276KJEXXOzT4JVJskTZYNRglRQ6GAiUtJC3O+bpL+R\nIZHK4v1+ndqwh/3RGPvxPuSOTrhYJuIrosmtXg+UVQFDlDBiIpMLGwR9NfaH4jS2Upxb7lCa9pMT\nYsjonBRuYSH0GgMgMcwWw+YWkWaR1eo0t2vz+OQKq8Ik68Y4bUXD7IN6WGMrMoIRAp+3jL9WwhIk\nttQBuqqMShdZ0HsFLUqdQW8NRe2ywwAaHfZJUNGDnKjdZYAMbbeL5aNT7IiDlAnSwE1QKXHR+wrj\n0gYFQqTpJ0SJGWOVAT3D4vQMjZBGmBwTpQ1CxRpGXsQ/WqUdV/FSp4xGXnDjlxskxQw+o4Za7eCS\n24QoIWLQwMOOOcjp8i3GmxsMmtv8SewTrIXGEUMmDdwYSKwySVEI46LFENuk3JNUCXKDU8yIKyAL\nLAszFAn/2Df/j3tvv+MRD8KxWczbJtabu8j6AZg6i1RsKkPnQOUBB8ZJ9jF25nm4utGmQZx0hdMH\nxObCD+9vF6OIh44xeBj2Dkv4uoe229m4/d3ez3nNhwtz7OPt65EO7eecmJwFQM7rNwGjbWC8kcYc\nsOC5E/DmzXeVxcifC9iCIAwBHwb+J+C/e7D5Y8B7Hrz+PeBFfsRNfXf3ONFvBnn+U/8BeajDTnKQ\n9/NtJHRSjHDOeh2X1aKkhzmeXSZ+LQ9fAz4BNy6c4Fvq83iF+lvl4E3chChx7kEHcx2ZZXOG4N51\nZtbXEfosCv0xupbCaHmbReUof+j+22RIYiISZx8BizYqJhI1/BjIdFDJjkfIVGNM/q9N/KdbWO8r\nUfbn6SvlGSxmaA+LHHXfI17LEb5SJD8SYnV2lGNfWWbWs4bwPovOgsEnkzdpTUp8R3yeHWGQKHky\nJKnjZZgtzlpXmessEs3X+KfV/5H/Q/o1BkfXqQsepK7OK6PncY1XmTbv8z3xIkkzw3PG96kFfOyL\nfWwzRB0PUXJEyZMjToUAJWRchCgSQUfBQmCivc7n0n9AWC2SDibZcE3wkvg0WwxzkVd4bvgFTg7f\nomwGuavPkSdGU3RTVoPoEYkX409Rdvl4tvMiJ9MLxO4WEW5A6+MursdOErSq3LMCZDoxntr7KuWw\nl5IWwChLxNUsp/Ub6JLID4T3cEU/w3+/+zucyC5Q6gTZOj3Cbe0EIatEVMjjooVlCezRR4QCF61X\nWXUdYUMa5zu8j6nACm1R5gc8TfAnoJP9ce/tdzqk8QjKf3WB/d8OcjffK9d2AqENPE7ttNNbw16o\nczYxsJvcOkHdzpKdmbW9cGkDMo7vzuzVzu5txYkNtk55IRxw5zUOutB4eZhuOUx7OM2rnAoU537O\n45yvnZpyZ4d3J6XTBZoWXG/D+kwf7l85T+s3voz1/yfABv4l8I8AZ6VCn2VZew9e7wF9P+rgDxrf\n5NPt79AxLcr4GcakjpcYOU5bNxioZdFSHboL+wSSNQgC5wANzIpIJ6KyxRAmIqNsImFwn2lucIph\ntjnZvs3szioBuUx6OkpssYxpiLQFF98MP09G7MNLvWcryhbnuUyRCGWCVPEToYCL1oMMfh8l3IXn\n4Ltzz3J9+iQj6gZmREZROoTTFQayOaKVCurZJuawH90t872PPIMoWYTiRbZPL5F/ukO4VWRI28Yt\nN3HTZNJaBaAm+BivpxA7Iq/HzpCMpPgEX2RdHWWCCn3SHm1R47JwgUXxKBXBjyFKfE94L6Yg4qJJ\nkDKLHOUNHucFnqefNBEK6CxznsucQ6SGjwoBQkoFIdqlpcqInjbnpMvoiKwwxQWuMMYGWqfN2PoO\nyXSBM9U7iHMm/liFVlzkgvYqrIuMvbANjxvU5tz4ui1i4RzHWwtczLxOrdlgvhNE22uTVqZZCM2w\ndWSE0a0UE5dSNOZVJoKr5OQYK8OjrCTG2LRGiQayDNZ2uZF9nL/b97tctF4llimhI6O0ukRLeW4P\nzpPpizOhrDCn3+OkeYe/o/0BomDyrb/SLf+Tu7ff6TgRvsmvPPYdrgaWHjJccn7Zxk52ZtyiB9zO\nZgOHC12cC3A2lWKDtZNacHpl20oOe1Gz4RjLzsSd/iF2dntYRWJnv05eXXTsYx7aZk849nj2k8Rh\n6d/hlmNtHi6xN+nRRS3HezY/3gXOxV/kmdO/xm97qmyQeNu/x08j/kzAFgTho8C+ZVnXBUF49u32\nsSzLEgThRzqmvPnVS6T9IuZlgYF5P8m5CDfx4gESVpNI28C300JbqsIYtP0qZd2Pp9xgb7lEKnSJ\nmlgkS402GuVmkJIBRc8mO+IWxW6a7dIeLqGF1baQXzVpxQtsWC02zFHqUgYv6wQpkabCC9SxyCOY\nIBkme5KEaJp4Ww328y2W8i18ZYO7uR1SawJpLceKWCDc7eArWii7TcRiA3MQap4SRXGVjahOVfMi\nWRLNRZ2g1cJXMCn3bVAMFMkpUUY2dwh0yjRH3Gy2WlhtiR1rj5zvMpZ7kUTHi0tqIioNSihUTAvZ\nNECy0Mw2W902tCxUuYPi63CdDdK00ZFJUCBEmd1LLbxs4qHR67HYtCi0m3yZFoZboKQJbCJQ5Taw\nwOsUuUUbTdcI5rr4Snm05g6dVRVLA1HXqfm3kfYtlq5WaacVrCBoeYuV/H3anhRKYZWtyxZvbuVY\nEDtsxfbZCfegoH+/RV+xTXvFpKDdpmHu8wfGEPtmkhIeYuo6ze4+VnWFTOBFVoxblHIl9pQ4HVPF\n36iyEX8VM5jGJdzhT27f5v9a3McS/piOoP6oW+4vFD/+vX0ZHjSEgPiDr0cZIt3lPSqfv05ms87r\nPNxM4HCVoc3xwsPZJRzI4eCg5ZedqTobHTjleyZwm4clek6VhTOTtXlmJ1XjXNg8rCyxwdn5WZz6\n6pv8sKb6cLGNUxduTxjO8x/2RLHVKB0OJh5ny7H+a+uMfH4HIzNKD9oftSlU9sHXnx1/Xob9JPAx\nQRA+TO8JJyAIwu8De4IgJC3LygiC0A/s/6gBjv/me3B/+uN8ht+nnzQlNL7O+2nhwsMGs9xkZm2V\nscu7WPOwMdLHS74nOcFtmrgpMMsTvIaEi9/l17h1/yz1kp/Z47cZcC8yRJxpghzbWGLwlRSrS+Dz\nVvGe1Nn5L46R9UU5wj0usMoefXyRv8/TvMzj7WucKN/nvn+cTlvh6EoG+Y8MWACmgalFGmfWWR8f\nxOXqEnjwJ/ZcF/C+/qCtUKtBG53rzyW4PTbBujFOaPcu/yBW70k4L1a49fgw/yH6SS7+1pc5v/Mm\n+ue6SAaIaeD+Oq/M97E1E+KDuy9QC7jZi0WJkifSquBuddj29eFutunP5mAFspEw9x8bw2COCEO4\naOF9YK9aJsj0p0WSZKjjZf7eAlN7WxCDYr+Pa5EjfI3f4gxXeT/f5gbvofOgKClJmiljhUljjZQ8\nhDvVYfzaDgsX+hEEi2Mnagju7lvPrMvj0ArB0TKotwx+sdWk9d+INJN5ipLJBqO4iBJEoYWLaLcA\nzR0+W/48r7efQcSg27/CsHeD95PiA4Q4V/cyli3zf8Y+wqZvkJO8StD8AIP08cvCNcqfPgcmfLj1\nDRaUWd6rvvbn3uCP7t6+AJz4cc7/lwwPsfUlnv7dK+xiMccBJWIv0Nkl2Kpju73w6OUAYA16agqB\nHiVhSwKdNINd9Wh/2WD2IR7mieGAUrCzZdMxhg2qznC68tk/2xmxncXbNAkPjv853r64xv6MtjTR\nBubDXuA82G5brtq0T4sejWP7e9sxetdi8q7Fv6MPOMNB07F3Kv7Z2279MwHbsqx/AvwTAEEQ3gP8\numVZnxEE4fPAZ4HfefD9yz9qjNP6Ld5XSjO+t4FbaNLyFehGv8uGNkLZCpEoFQhpFSpPupBCBgG5\nyBPt17BkkaIUJkCFW5xAAM5wjbnkPdRolyl1GTcNAo0qx5aXqX0jx6XvwFQU1JM+yhEP065lJMZZ\nY5IuCjI6k9Yqc0vLjJZ3ELwW/V/ap3VDoLBlsrIJXRnOz0ApFqPi8pP4VgFlvE1nTmJLGiY8UmZI\n3UWuWogGCBqI4Z7OuC766EaibJ+2GFIykAQfNWZZJuQvI8ggLYI+KdKYcpFLRtkO95NWktxKzFFV\nfJQIMM192ooLQ5JZkI4ytJsmfqPIxtFhVodGWWWcGj6i9GRwM0trWKbArimTxMRHjTxRulGZhtvN\ndjBJ1hOhgp9P8qVeBSYik6wSKZToK+Uo9AdQVB2LXkf6StxH6vE+qmEPWRK8fuocZ+WrDIg7WIJI\n6MUy6o6ONG72VCtjoNUspM0OJg2UQYNgt8ZwLYNhSihah7ZL5rPhf8+gleJNzjKkbXHBuMKHO19j\n5M4uRSvCv577GP2uHYZZx0RCFEzS6UH+lxd/He1Uk8BckWVtBkOQgL86YP8k7u13LgSYmKcs+ri9\n9gUa5sNA7bQihYPM0qmnLnNAEdhKEt5mDNv2yFkJedj72gZMZwZrc8+2Y54NpHaWbGuxnXSM7Q/i\nPN6W3TmVI87FQ9ExjpMGsp8onJm4za17OJiIbImj8/PYnLs98ej0uLCCKFOPTYLnLGz8WMnBTyz+\nsjps+3fxPwN/LAjC3+OB9OlHHeClzoxVxm9WUTtd/GaDqeAqgmawzTCSZWDoEkLLoCgE6Mgqiq6z\nzDQbjCFgkSNOo+3Bl28w5N8iHtlHRkejQ8CqEDaKdFJNzAUIfAQax7yUyj5G5A4+apQIUSSMnyr9\npFGNDmZLhLZAoFhDbkikNQ8NoYOgd7HaYFVEhH2L4G4dUe1SiATYTgzRCatEfHm6FTcyBoJmUfX4\naKNhCRb77hh3x6KYbgnDI9GquzixdpfIXpGG4WZPSFBw+2lFFVzxNg1cNHHR9PXEThI6WeKUpSC6\nJJOmH0uUiaglSn0+CpEQOwzSxM2QscPp9i2mNjYoEUSwxigSxtJF4s08TZebHXeSNiqCCRG9xJi0\nSVEIUzaDjLVTDGXTBNM1SuHj6JKC3LZQxQ66pWCZAv5SnYbSJO1VaXlUKoqXGj4CUgO6LUqin2LC\nIn3MTVzOozZ1BEtgxxzEVe8SyNVp+TQqmod9OQaCwZi0gl8sMVTd5fHKm1yovEm5HOJGcJ5ve9/L\nLwn/kSF2KBPEJ9QwLYHNzhii0cEnlKlJXpLs/ahb7q8af+l7+x0LAQLnvLhkL7mUgN45AKcHbz+k\nf3ZmlnaVn+1fbb/vzE6dPh82mB529jtczu5c7LTHVBzvO7lr+/psoLePNRzvO8/lBF2qF2qoAAAg\nAElEQVT7nPZEYx7aH8f7zn2dKhLnZ3YW7Tid/Zw9JG2NdkEWkKdc+Ae9VDd5+LHgpxR/YcC2LOsl\n4KUHrwvA83+R49blMW6FZGaDS0TzJZQ8mIjEyBMWShTDAaSUwZGvrnL/k9NsHR2gIXt4mafJEWOM\nDdw0yZb6+OrlX+Dpue8zeWSJl3maM1zjA55vUZ13MTLTYDqhIz0JuVkP5ddDbDKKSK8Lt4GEiIkq\ntFk9OkInrXDhxjWEj1oYf0+j6U9w8l8XiHy3jFSB5OUs1raAOGX2/oK3FHafHIQQDGo7bMTGcNEi\nTJEtYYgqfvxUWaaPV3wTZLx9NAQPQ1d2ed+/fBH1XpfU0SG+eeY57kem8Qp1fpE/xEcNLzUmWSFE\niRIhXuZpGnhw0WuKuzvZR3qsjwvyq4QpYiLRRSHQqnE2ewtp32RX6ydvxXiJp5hqrfGrqd/jZt8x\n1r2jPJ9+Cbe7Qdcv0vRoFIQIZSPEE7lr9O3kqWc87B9JEFUUXFWDsFJCSptEX65iRQSOhtd4JnyZ\n2ojKfijKNsPwUQvN7OAXa6wU4PL5QZ5r/4BgrUbFDPCi9Cx6/TVOl2+RHQ6xEpjgujXPH9Q+wzFp\ngf9W+1eMb+wSWqsgZASW3jvNjYnjZIQkOwwyxQqTrNFHhoH+bUZ+aYuUOEIdb8/rhLW/0g3/k7y3\n36kQBIuRj64y4VrB9f+ayJ2DjNV2xHNK8GxwsrNIJ89rg6atyICHwc/lGM8GRjtLt8d3Gi8dzlTt\nrNqmJZxUifMpoE0PFO1tb0c42AZWtuWrTfvYihLbnc+penHKFuFgAdIuR285fh/O34vN1wv0JjcR\nQDWJP76PenaDxS+9zQX+FOKRVzre4Tht6wxmW2RM22Smf4WiFmSsusmZ4k1eiV8gPdxP5yMym8lh\nKvhR6fDB5ncpWmGuuufJCjEqAT/jp5c5El5givtkifWa29aDKDcs9u6a7FdgLg9i3UQz21zMXWFH\nHuBa6BT9pHHTpIGbCXENNdzk7slpwr4CireLS2mjPaUje+g9D4UszEGBylE3ak1HbJhoUgdvrom3\n0KEx5GXPk2CDMd7gcfboQ6FLlxQ1wceSMMM093FNNLj7qzOMfmGbiFnkPfnXmN9cQKnoDHqyMLLI\nUHiH+H4Z93aLbqNL4zEfjaAbCYMuMpYooNEmXKrRL2Zx+1ssCkdRNJ2r0ZNEn8jTESUSr+7xc7xA\nSCtzc2COtDtBU3bxZmye6UurJNJZmh/3kI3GWZUmuBSpIR6xyI3G2AoOEJdztEIam8oQ6dgg+XMx\nTnuvM+raJKhWGBDSGE2NBdcxduV+QpT5EN8gL0W4qp4hJuYIKDVqlpdz8hVm5GVkwSS6XUGWV4lZ\nZcbZpRZ2s+g+witDz5AI5JhvXGexb5agVeU367+DV6uyKY/ydT5MilG8Yp2q6CNfj1HWg+z4h/CK\njT/v1vtrFe+VX+CsvEiZLgY9ULFL0uFh32p78dDOlm1LU3sh0QY4m7qwAVvnoOjFqad2yuBs4IYD\nesJWlzjpEBvY7UnCLoZxls07r+NwdaZTBWKPh+M8TuWKbdHkvB4nh23THHbW71wYtT1F4GH3PwHw\n0OWEdAdJjnKPgXdDgv3oAbtAmKucRTG76KqM5mqxxTCWITLTWSNtDlCMBqhEfeyRREcmSImnrcsE\njCpf0T9CUQohuC2GxjcZZJskGUZIEWxXiJWKeLY71A2TegKMBnjXGoRSJqPFLLWIjyp+xlnHR40a\nXuKlPH6q7AwNoHWbhLpt/M06+pREzePBc7WJaFlYkoBhijT9Go2AG0nVcWU7eHbahAJVarKPfbXX\nRVxHJkAFL3Vi3TyuVptRc4uYmqP2mB99U8JdbOGljq9RR6oatC0X0U6Bvk4GX6GBvGLiybVJjuxT\n0EIYLoE6XgwkBCxk3SAhZfFRRkanJAWpej14kzW8ep3hdo0Lrfu0FZVXwhdR6OCjyn4gSn8tQzKV\nRWhZ6JZEQQzzqvcCHa/6oMWYTIY+NpSePet9aYabrnlKcT9nfNdIsI/UMCiaYdYZZ5d+4uQedMfx\nkBVi3FWOEFAqeGlwnDuMuHZp+TTudY4QbJU4Ltxl2r3CfWGCN8TTbEcGaEY0BtkkT4SAXuOCeYW0\nlSBvRSiaEfxilVCrhLbXwVvvUJAjvacF9XAt3V/fELA4uXuHee0ul80etDkLSexHfafqAt6e33Wq\nMJxA6FRW4Hjffu3MSA8XxjipFXuyOFzY4vS9s7Nt5/U7NeNOxcdhbxDJsb8dzq7tTlB1UjLOIqHD\n9InTHMp5rGYajBW3CGUWgAHeDfHIAbuPPTpilU96vsQcd9Fo80V+gcXAEfBZpKRhSgRZZ5w8vS7d\nPqr43TWqup8rrcdJaFkG1R3cNLEQ6KAiACdKi/xc9mXURAff0zAyDooK1st5Bq9KFD4yTn1SY5r7\nzLKEnyoVy8/QUgbF0qme8xGqVokWqlAS2BgeoDWsMbWXQt3oIt83COYbZB6LsXUySVeSEXQLV6PN\nmb1bRKQit+Imx1jARYtJ1niRPZ6tpzi5vYjS7CLqJpYoIF8wSIUG+Xri/TBm4jXrBIQKR8wlxhsb\nSJYFBgTqVT6y/m3uuaa4OnyKPNGe4ZVYpxT2EkGmKyoMss2ImcKn13Bv68gVmMxaDOZhKzhAw+vm\nqLDBMNtkieOfqyFHdaJqnqS+j0dp9iZSOiTJ0MJFihFyxJnjLsKWQOOFEPUPB6hMBVDosuCe7ZXq\nCBES7BOhyHVOA0skybDCFFHyjLFBmCI+X41Mfx//VPwtzolX+EfSvyCjRVGUFk/yKse5g4mE3Tmn\nJrt5zXcWF23GzTWebX+fRfUIrT0Pj3/5JrJisDee4MXBJ8mpP0M9HS3wvNjBK7dBP1g4c9Iih82O\nbACHA87YBjv7kd9Fj1qwVRrOxUDbuMm2WnUWlzg5c7sJwmFgtHgYXLuHttvncjr2ORcbnX7e9vXb\nTxP2pGF/RmcXGfvzOvXeNkDbk9LbFZvbE42LgycJTbfwLbYIlmvvCv4a3gHAVuiiUaUgRPhe43l2\nG0MkAmk8ap2sGKOKD4UuA+wiYZIhySZjvCw8DRJEtTxHpUVGSKEjs8okdzhOnggeX4tgX4WTwgJ+\ndw1hWqKo+VBKOrLRINRXYooVBvRdClKEjqDSxx6au417t8PIn6bxm3VElwURi66o0lTdWAEBCtC5\nBtmyBdk6UbFEe9rFvcQMpiRyUr9LyCwyxDZlgoSMMie7d1gyuwy3JHx79YPnQDewC2GhzBNDb4Bp\nYXhESjM+tJ0uSspCADYnhlk+NslWYpi+9j7nF67SP5bhde9j3DFPYFQ19qUBXg+coY2KIuj4pSpq\nXCcQrJINrbAQiFNUQ4QpEv9Ogeh+mc7PqxQGgxQjQUwfdCWZCdbQaLPYPcpSd5bnte9yQbpME09v\nzaCvj8iTRT5a+BoTK6u0p2QQLDLdfm7X5hnxbBBT8zxuvEHT3OUJGuzRh48a/WaaaLvMqjDJrcAJ\nznOFM/evoy6aRAcqVEa81AY8DO9maMhutvv7qeFjmyE2hDE+aHyTkb1t4jdLpOeq1BWTYKiKVm/j\n2m/z7M1LbE4OPupb990TFpRvWBQEi5bxsPzMWdzyYNeHKgBtIHIuRjqzWJsb1vhhrw4bbA9TCfb5\n7Qa4tieHM4N1ntPZEgx+eJJxarZtE6a3K1O31So2qDuzahuM7fFskLbpGCfVIhza35mxOzPutg6d\nNYtO5rAw8acXjxywLVOkY6hsiGNkjSSZ9iCftBbxUGOdcSoE8NBARsdoybRwU3EF2GQU1eyidgxk\nw0QQBUyvyKY4yh696sU9b4wVZQzN7JAQsyjeDjvePiTDZH8jy2pgEk1vEROy3LJOIgs6I6TYjfTj\nKbZJbOyju2UakohbbmNIEoYsYYbBCoIhQyMP2r6JVuziNershRJUffPEcgV8agWNNgn2SXRzDFXT\nBEwNVXRRlb00RA+SaBCVi3QbMlqrxSn3bYSWRcPtJtXXT73sY6l2BDXcYS8eZyfWz9XQPGd2bnB6\n/waWbrLNAJuMkddj7FqDXOF8byIU2rilJt2oQoAKu4Em21IMtdNhSN4mkKkipEDqmjRCKgVvlPtM\n0bVk3DSZ4y4VM8CuMcBxFjhuLiB3DcrNIDlXjCOn7/Ke668SqFbYZAC1qbPdKtFtq6iuLjFyTFkr\nrHVLnKqWyUoZ2oqKZrbxZNo0LC811cfz0gtMbm2g3DIJrdegKdBOuFDqBrqqkiNGF4WCEWGxfYwz\n0g2KjQip1BTNERnfQBV9SkDZFvBUGxzdXsYV/VnhsHsQuJ8SyXAAoDZYOasXna5z8LCMTuZhIHs7\nvtsGMjsrdS7O2cdJjrGdRTNO7td24XOqM5wLfM4Jx1nmbmf3zgnHCdgtxzZn5my9zTabrzc4kCoe\nliY6k2Ynb/6WnNGE8n5PJHGwnPrTBe9HDthN08VKa46OS+Go9x7vd3+TuLRPmn6yxMkTZZshlqwj\nbOz3muUODm8wKmzQbHi5svEMK9U5/O4yyeNb+NSeNG+ETc5wjbiyzx8m/yYJssyIS+wK/ZSkMK9o\n2/xh/R8yIm/ysdCXuS6cJsE+p4Vr/OfkxxEjFn/71B/TEl24Wh0ms1sIggUuC30IjE+A9gSMLsLm\nTIKdE/2cdN1gkaPck45yNzaNJrRoozHKBkOtDGJBoKl72I32YZ0TWLSOEmjV+FDhuxQmA3RViZiV\nQ81buKstJje3+EL8F/ju7HP0SXu8d/El3vfai7ieatEYcPG9xNMUtDARCvyy+Pu8FnmCFCO00DjO\nbcIU6aKyxjibjLLFOOHtXY637tCZFal/zENaj1MOBehvZxEbEv8Dn6LkCTLpWeWDfJM59S4jSopZ\nYYnBZhpvsYO5tks94KJ0yot/rkxJCLHFMKd27jKv3+FjE19mXrnOlLBCRk6iVxskVkpE3VWuJ46z\nbg0w+nqaM7mbHDPvoXnbKGq353/3bfDrddTHu6yMjLKiTLLOOGGKBBp1ljPH+V7f81yNPs53znyY\nX4v/Gz4W+BMaZxUkr4FruwsyqOo7Xcjw0woNiwCbqER52DrUKY+zaQTb98OGFZsCsD1BnE56Thc/\nJyjj2G5nn3b26zRRsvdzLh7a5d3Q0z8fLlyxO9nYlIgTlO3PpHKQTTurHm1Vic2XOxcV4WElinPx\n0T6308fEWfRjd2+3JySbajGALUBABcL01Oy2cvynE48csLtNjWomTHkwRMeloCPxQun9pKV+agE3\ncbLoLZU7lWNU7kUIaiW8Q3VEwSSgVXgscZnVwCRdRSEkFvHQ6C3cUWOPJHtCko6sUMdNUQ8xm19F\nxiDXqTGnvoSqtkCACn42K+NsZqZYkI4R9WUZTOxwonyXsFlhK5Gk7PGRl8KkPc8RclVwB1tUI36C\nrjJjxW38V2owKuE502Kiu8Fd8SiXpCf4G/wn2q486Wgc1WogdS2W3RPc5Sg+pcGolCLlHqKlaAzp\nW8SVPKFQFaXbIRnYZc63QAcVfUAk6wlzw3USWdEZUrYpEqZCgAIRGpIbhQ4W4Kfao1EYZZkZ/FQZ\nYoekvoegC70JMRAjIyRJMcLTvIaLDsVWjK3qCG5BZzicJulJU1dcxIwcrm4bxTBoJlUaPo2yFSRg\n1qkLfu4yx5SawpRE8nKEG8I8LdPF08YruOptxKKJHhdouVRqlpf2rAzDBi1BRlLayGkLsyBQe5+b\n/SNxtrUhdtQ+blVPcSVzkfmBq+iqSDS8x5i2hmiYpONx7rsm2TJH6GvkMWNQD6p0BZlO5NH33nh3\nRACYpUmABgc+Gk4dtg1etjTN1jzboGhvs537nJm5c2HQmYHa4Ofc5qQUnFmysyzd6T3iXNhsOfax\nwdK5MOl87eS1D9MddvbsBHpnY2DnBHE43q603ZmJOxdo4aD7jUUQmKNnRfDXHLANXcLXbOIz6rQs\nN/f1aa40nqCueomRxksdU5eR6xbDtRQBs4SIiYTZa4wbWKMU8dGRVY6Ki0gYWA9um3I3hKBbjGgp\nfEYNf6POkcoyCSHHesfieNeiKAfpoOCiRbrdz7XceQQFXLTYj/UhNe+gGDrbiSR6V4Z6rw9hRCzi\nddVJjyeYb9yhfzOLeNcgIWcRTpsku1luyadYt8bp6hq6LFOOejCFFqYuUyJECxeiaZHtRMlVYjRl\nF0q8gyLqqEoHl8tiurOMP19hKThDLhJhIzDKy+rTjFnrDAo7VPFTJgjACL3ekW00IhSp4CdDkjJB\nYuQYZptIt0qrq7Er9JMXIg/6Hx7hSOc+E80NBknTbnkIt8uMubcYMdepWF5Et0kVHw1FoNrnYlsb\nYNWawK+3aOOiQoCOT8E0BQxBIk0/0XaexF4OrdHGMgW6ioglgaGKFI4F0KwOuiBjyQbCGybqlsXW\nBwdYGR4nZY0iti3qZT97uX4aUQ9hf4Hz2ivMcI96x0c0sMeeFmfJmOVk/R7dkEQzoGIgs50bhAet\n4v56hx+YxsT/0IKZDVpwkBk7eWBbueHkpZ18t8Tb0yM2iDknBieF4FxchIcVHvY57XG6HAC/s/DG\nSX8cBlF4uLjGHst0HAcHWb/AD0sJDx8HD1+38+twsY1zUjpQovQmTdiGn3zB1l8qHjlgy/4OT0y9\nxCn1BivdSb7beS/T0VVicg4XTSoE8HsqfGrw9zgdvk5G7OP/ET/DWd5EbAh8afOj6P0wF73NE7yK\njxoFolzjDE/k3+CpymvURxTclQ6efIt60kXe5cdSShxZuE8roFE67eUYd3GH23AKJMFghmU+3Pk6\n3bBKRoqhizJDuxmiuSXOqTeRXAaGTyCbCCK4YXcihu9XaqTcQ9wTZ8l40yDoPGO+zHhhi4RcoBRt\ns6MmWfMMM0Kqp6TIlDjx0j3mlxcwoiLCL3dxr3VQ0zpiyCKYaaJZJtsfGOJP6x/npfxzNEdlkr4M\nXUkhTT8iJhOsMcgOCfYJU0ShwzZDxMkyyA7DbFEAzKyIVDNxnez5SYco08RNZKdI/94enzv9u5Tj\nAYJmmZC8j7bcJrQCt548SiEaxvJIqHKb+0xxSbiIx99ihE2e5mXC3iyiZfIp4QuEKNK/v0/gKw2E\nNoh9Ft57XWJjRQqjEW7LJ5iprTHVWqMY8tEecWFqFi+HnqaMj1EjxanUXZ7hVZ6d/x4+rYZGExmd\nZWbZUoZ5IvgaXVHhvjXFYnIKUTIwEPFT5Svf+hvAG4/69n0XhAtIIKC9BVZOHtgJTHaW6PS9tvdz\ngq/meP8wheL0p7ZpAudiopPrtq/FpkCcHLB9bU5eW3Ccy874GxwAtD2myg9n7arjWJuycFI4dtjU\nh5NTd163U/6ocFDkY3P/HQ4opoOnARWIcqBT+enFIwfsGj5cQpPb9+dZ7U6z7x1gMJkmKuc4zm0s\nRETRRFU7tFSNlD7CXr2PG9o8XqVJIFJkwrXCY1xhgjUkDEQsgpTRPSIFIYAo6ZTdIZphL25vlYhc\noKvUEAZ0PKaOvN9lPLhBW9PIy1GG2CZi5lkyZtmRBtgT+ygT5KPerzNc2cG/VaUx7KLW50ET2xii\niO4SqSU9Pa0yY3ilOh1UOqZC1h1FkxrolsCifpSV2icJWFWe9LzCqLKNP1hHHDQxQw84vBJYZYn6\nhAst3yFcKHO8co+m5scdbXJVnccn1JDRMRFR6BI0K0xX1hkqbeMt17E0gXooiJ6UiZOlz9yjo9fZ\nH45S0YO05V7JO024mL7CeCaFv1jjwvIb1EbdCAmDQKfGRmCMe2NHMNxQkXxUpQCD7OCl3svopQoy\nXSR0qoqXYLnKqXt38SZquOQW+nEBsyogKFbPm6WbpV7y8gP/RSS118D4NfEcoVCZMS2F5m4RxEAQ\nLUrBAAGpzHHvbbRuh3S3n8vKecoEaQpuVKnDqe5tju/dZfBGhu4Rkb2pOFc4jzH1Zz38/nWKHqwq\niA8t5sEPl3Q77Uptfwy7EtKZbTt9QOzs2N7HuchoA6Kz4MXOOg875Dkz5sOUiODYZgOO4DiPsyjH\nCfL2mPb+bg4A2XJst2HUqbG2x3Bm0vZ1O+kUJ9d9QIE8XDV58PzydoLAdzYeOWCX2iEKxRhvLF2k\n2IygRtrUAn4kt864tc5UeY2OoHA/OM0VznPPPEKr5eaOfJyYK8/owCrPWS9w1rqKV6jTQUOjzQgp\nzACsB0bwUierxMn7IkwJK4BFQe2SnpYJZaqEVuuMDacoR4LsefqIkUMQLV4RL7LJKBmSlAgxHl1n\nsLuDuCpRU920QjIa7QftykzqeMgTJUcM6UHuUhJDrAXGsDDxWxXS3QG2GheRTIsx9f8j772DJEnP\nM79f+vK+urq62pvp7vHe7c4O1oBYWIIACNEdqaMUIYlH8RhxokRJoT8khhQ6hY466EKhuzjyeDzy\nGLQASGIB8Ba7WKzB7s6O99097V11eW/T6I+a3M5p7Ikgl4OdCL4RFd1TnZlfVs/Xz/fm8z3P+y7T\n9d+kMy1jjQt03RJtTUJSoBVwsz6WINyu0mcVmK4vMhRY51DiKv+GXyRIGQ8NLAQELFxmk5HcBkNb\nmxh5Ad0n47MauPpbhJsl4p0cpWaVyugoW1oCFy3qphet0WVm+waRehHF0EluZKgHNDp9Eq5ul7X4\nMK8Pn+c4VxGAKv7exm93i0Qzy6i8hqkItBUXdcFHsFxn4GoGccqkOyFRvahiXDFh24IYhMwKsVqR\nsifMhtZG0jq8wxliUhbZ1WFUX8HURSqin/t9kwSFMvusBRL1HEvCJC8FP00/abzUEbA4l7vEx+6+\ngfAdqLjdVCZ9zDHNwJm/D3QI2DmljPlIx/K9tT72Zqh2s1weHmv3V4RdSZ2drcJuFruXFnDy5U76\nw85AnVSMfS9OoHTK8ODRrNiWBdrf71Wu4LgOPFra1Qm69n3bC4Lz5zYQO2kY52ak02a/txPNbkpg\ns+gfvbzv8atEql4u3XiKmhSAHZCuGvSNZtCjCtc7xxn5Vho8FpkfjzPOEoJi0Qj2MluZLjoSSXOb\nhLXDHWk/piDipcFhbhC0KoiWyYo4yqixwgnzClk5zj1hP+8yhp8YR3O3OH/5MlMrKzAl0jjpZoxl\nuigsMAWAhwbDrHFfnOF+fJbsxT4GPBvMcJ8j3EDAxEB9vzu6jE4/aYKUyREjSwwJnVFhmYOu2/x4\n5F/gos2kvICoGuyMhClZYYpimLLixzwmkTH6eMt1joHpbU4mr/FC+TWMDqh0+DQvIWLSxEXWjOMW\nmpimiFUQ6HhkKgdc5KQ4lmbwaV4idT9DNF9kJW0xVlkhFs9iIHGgPk/bdHHjwAEm15dJltI8GB/F\njIBXqOFytYiKGY5xjXGW3u+jaCISTFeZubGIK9GklAwQGCzT394h1iggNEyYB7Mj0oq6MG/p8K4J\nz0Du6RA7o1H6lS3CFAg+tK8HKDNobBIvlZAtg7LHx791/QPSUoJ5a5rPp1/CJzQYCqyzJIzjpsnT\nvEn4jSLCDWAa6gkvYHGOt58UH8OPIFpAlg5tdHrKC41eeVRbrtZ5+G8nVeLcWDQfXsVZL8O2CDjp\nC7vZgcWuLtupuoBHM1Uc17CBzq6E51Sd2Hy2ncnbpp+9iwzsgnCHR5UdAj9oQXcuCDju1b4n55i2\n9NFZSdCkZyKyS6va13Ee38vIO0CBH32J1R+Mxw7YjbSf5lAEBgwYMRE0C7e7SRuNRXGcwlAQj1bH\nQmTUWqZdclNY7UMdbCFFuuiizGXhJBn6uCfMcrZ4iYOtOcLBHGU1SEbqQ0YnLBTxC1Xe5QzvcYoH\nbDJBGF+4gTxrInt0OmGZCWuRgfkdsKA5dZmxq6u0Om7k022kDQu9olJOBHHRQKbLAlN4aOChjkKX\nftL4ujVSG2nqbi+j/SuImPipIGPglyoc1O8wkV/F7WrQcSusekfeLxDlpkE0mMdPBRMJv7dCQC2y\nKSdpuRVqeAhS6mULusFndr5FSQtSDgd50DfGkjLMSnSIICXClAhTwB2qozQ6iGUIXq3jSrRo71fw\nWh06kkbB76c5oLIUGuFWfD8JNY2LBpflE2ySIkeMAhFq+CgRYpAN+rUMgUiZetDDjjvOfWYIS2Vi\nrmKPziuDtGnivdvG8kPzuII6rqMEOwTFIsOsEdkp0lfMYQ7LWB6LvBDlvnqQOBnGpCUQehn9ijDC\n9cBh/EKV48IVGnhwmy2e6rxLf2Gn95c6DkZYootKG5X59gxPROXTxx5VYB6R6iMbjs42YE6+2s4M\nbTu4s2ToXorBmSE7N/T2ZqCa4zxnpmoDqrNQlD2+E4ztsZybijjec97TXlkhjnNs+Z2tiLHDqc12\nbkY6P699jL0xaUsMu45rO6kTcN5XBZgDKnzU8fgz7JwHUdVx9VWxhmTEroURlajjpaOobD3dRx9Z\nPNSJWnncpRb5W32I7g5SqAMifE+8iJsmOWKczV9hurBIQ1G5Kx9gQZ7gILdRhC4lMcRd9nOLQ2TQ\nKeHhQWqcxdQYYQqMssqseY/o7RKq2cE3Xsb3RhujLLN1NEZ8rtQzdhyGrdE+FqJjvGecwkudfjFN\nSCsyKq4QbFfov5WjEm0xEVnEIzeQTR2jIyObXiLlEgfv3afZ72I9McCGN8XGwzZnUfIMsgHWJltm\nimPlK8w077PgnaagRTAskf5uGlE0cetNfjr9xyz4Jvle6ClWY4NsS0ne4yQXeB2VOdw0qIx5kZUu\nVreDettA3DQRBkwkycRrNpip32fTN8BieJJFcQIvNQQsrggnWDImKBtBSnKQmuXHNESekb/HbHAO\nYwYyvgh31Wne5AJRpUDEX8TT16tJIlcMgrcbmGMa5X/kJlSt4u9UkLIdTE0ksNrAne5wKx6h6vFi\niBJvBp5myFjnOV3ARESjQ1dQuTxwjKS5zVh3mX3SPBGjzMn2NUSfRSkVxBoVKAZCZInzgCleybwA\n/C+Pe/o+AdEDCw+V9/ue2KBoc9pOZYTBrsXDzqLNPS+7ZogTHJ0d0a09xzqr4aVsA0IAACAASURB\nVMEuJWNTCDaI2ouGE5zh0czbWZfE3HNtJ8DuBXMbVO17tWkQHPdrH2ef71yEbNONszlCk136x2nj\nd1YZ7C1WFXqdTf4eADZJE9/BIuf73qKm+HhgTbGojTPCCtPMcYeDVFljkgXuizOU+3380gtfIR8M\nk5XibJNkgkW81Ht6Y6VK1ePjuvsAd+RZygQRMckJMbYYICSUiJIDoEqAGn52SPApXiJKjrBQRIl3\nqVp+7ktjTCmrBJQaKh1EzF5l9zmI1kq4g/cZzW8iGSZiwKB43IceENE7EtYDgfBWBTXYJTcSRC11\nid7LE6/6SZRrWHcErgwcYSucwCfUOM/3CVDBTZM6Hkxd4fPVl9B+p4D0Zp2DH7/H8oUxMlNRxpY3\n6ARktpIJ3tl3klCnys9u/wnaO21uRg+Sfi7R60pDkQQ7mEh0PCrEwPwYYFq4rxoI7p4A0rOjMzyR\nRpmCTW8KSTLRUTjMTVYL47yXP8+xoUt0mm7mt/cTHP0GfVYWoSCyqo5yXTnKJes0EaGAp92iP/sa\noqL3uh3GoFIOsNFOENxcQL5r4FvtMC5ssnk4yfVzh3kt8AwCJsOsc4HXmcsd4L/d+ArGpMlQcJUj\nXGeFMa41TpBLJ/ls4qvM+O6w6e3j/gszrHZGaMc00lqCNAkKhMn8ZeyxT90nI9oIFBiiwwg9YZlO\nL3u2Adt+/LcBtMWuhM9Z3AnHcc5M0qYOnBZ3HOc7qQKnxM55vJ1l25t2dgbulBg6GWAbvO1FBR6l\ndJwcuD22vajYapEPyqTtc+HRe3U+Fdhct7rnOHtsW0miASnATxso8mjJqY8mHjtghzwlDieust99\nB0OSiFlZbjaOkRUTDLvXWGeIImE2GGSVEULuEhfcr7PIJDJdNNqImHRQSbFJM6BxV5vmtrYfXZQZ\naq0TXylATQBDJqjUkRMmadocZocSYYqEEbGQTAO30aQ5pNKxFELdGuJBA6Nt4RYbKLEutQkvq4FB\nYoE8MSVH0FdmQ0jxwD/JqjSIgEFELWLMqGQ7Se7VDuA2SswwR0rI0iFO1fKDZRFsV2i0XehKT7tc\nIsQWSdYZoi24mVSWGQ/oDETKeKUym3ToiCqGR0RSDTxWg0i7iGZ20DWJYLzBcGCFs7xDiDJlgqTp\nR0ZHclvciKYZnXCTKGYYvb/BncEZymqQk6vX8LqauPvalFwh2pKKjkyFAHk9Rq7Vh2iConQQvTpR\nKU+oXsLKSFy+e5ob0eN4zjWYY5qIp8jB0XvIko5W7RK5W8KqChjIYMBGYJDCcIgUm6wODPFe/ARt\nNIqtCFutIS76vku/ss1Rz1W2pTgJdhhlhVVGaUhuTDfkpSjzwj425RTF/jDrjWFubx9hKLKK313j\nRvo4hQePu4fikxI9KImPmPQJsL0GhtkDZSdY2Zmxk7rYC9j2sXvlcE4JnQ1mzvOdGagzm3fqq/da\nw+3rOYHQjr3ZLOyqSpwLAI6fOYtF7W18sFfT7axrArvUjVPuZy9Q9u/O2XzB7j4jiBCIQcxjwspH\nz1/DjwCw++VtzvtyxMkSpshB8w6LlVnyah/r7iEUU2eeIKviMBYCJ7jCx3kZ3VAwLZmwWGRRGKct\naBziNtlwhDI+1hhmH/Mcrd0k9U4Gz2aTKWMFfJA4mWGRAJ+k0gNHNBS66LqKWu+SjYcQDYv9xQXq\nZxU6moSqd5CSJoV4gLdTJzlg3sHXLSGbJvPqON/RnmOBSSIUmfLN0/iUm++mP84fbP08z4l/hRz4\nKofH7lFciZBWYpC8xf7OHJFykeu+/Txgkh0SZIj3OsbIHvr8O/zUj32V6UPrmKpAO65RUX3sjEQJ\nGBXC9RL7l5ZY86e4OTnLgadvEyPD891XWZZGuSEe4U2eIkEGwW3xdmQFdyjGifp1+oUcryeeYtkz\nynR7HrFiUKyFWY6PYSKQpp8CEdaVISS3jiGJuP11BoPLJKxt/MUqRknixp8fZ2VwnCPnL7MojHMr\nfJCVUykk0cB/o47nzSbigIkmtRC9FnOnJrkb3cdF8zWWhWEeMMEUD8g2klwqnCesFnkx+E1+0vfH\nfEt6EcOUmTSXuCEdIeXeIJl6jy0GWOcFwhQZYRWrJnLj7gmOzlxnf/Q235z/PHUr/Lin7pMTAviP\nCQRkAXHTwjR7mawTfJ1UguJ4OUud2lmqym4W+agaYvdaNmA7qQ541BFpW8Th0U1HJ5dt65qdhZbs\n7NhpAxcdx9pA7OTW7Q1Tm5d30i57i1rZ4GwDsN30wPkUYt+/fU/OOtu2Nb4jgzIB2oAAqzz6+PER\nxWMH7L5Ymlt8iqd4q0c7iC2GIsssCuM8MCdoFoIExDL7I3cpE6REiH/Pz3J/4yCZRj+EDUaCywTd\nJd7lDM/xKse4RpAyDTzcMfYzVNnB42n2nl+ioAx20Tba+M0afqGGX6jioYGW7aBeg1iljNAGQbBo\nPe0hPxGkIgcYKWyh1dqkEls0VA8L0gR9VpYBcYOLvEaU/Pt9FA1EBsNrnHK/xUXPd0mwzZwwTiqz\nyfHiJs0LMhlPnA1PioIQJkMfeaIYyIyy+r69PqLm6YYlSjEfTZ+CAFQIENqokrhXQN3skgqmCTRr\n+LxVFL2LWRdRp3SssEALF3U8jLLCU7zFC3jxRJusPdtPIFhiOjOH2u7wZvA8bwydI6CWaaOxTT/L\njNMOyEy67xHSigywSZ+VYba5gNfdxDwKPzvwb5nwnOaGcJgZ5jjWus5sfhECBrVhN3d+bZLcu23q\nkg/TJ5LQdtA7AgNbOZ7zv8ZwbJUFpjjjf5tjriusaUO8Ij7PA2GS053LjFVW8RUbTA0s4fK3GWCL\nIGUkDMZZooqfRsjD1Ok7rPsGyKkh3McqJAZ1tv754569T0gI0HhGpaZpdF5qIXZ3nYhOcHLaqu3v\nnRm3k9rYm3nbYRtJbLOJTUPsldL9x/TSHX4w47VVIk69tU3rOM+1N/7srjd22LI7eyO1zaMVADXH\n+U7Znj1ulUfrjzgFek5teOPhy/1wfEUWaM/I1A+54Ks8EfHYATvsLqJRZ4cEhW6ETkcj6CoyIT2g\nYvlZkkJUakGKxRi+RAXV1yZHjJSyQVQtsC6lGBC2UBttrm6f4k4kS8KT4Vj2Bi3FhdmUULzd3v+g\nH1gFWdPRzA6ecouUuM1R73UakoeyEqQQCPce3bomuiTyrnaKrBBlWphDMC0wetOsJbqo1f30L2RJ\nBHNY/RJva+cRRYMaPtL0I2oG55Tvc6JwjZico+F1ESxW6Mu2aR+UWFAnyQtRhtrbZOUEHUmlg8oo\nK4QoscgEaV+CgrSOqBl0RY0SITTaJM0cHqMNErjUJoLLYE0dAhGiegGPWCdGjhg5ZuoLTFoPuG0V\nUdAoukJsp3o9q92NBgtHJ7g3vo8N3wBhij2u/uGfSVzNkFI32M89gpRR6VAVfcy5p8gGIviSZYaF\nFa5zhGOdG5ztvocmt2iIGq2gRuO4m9p9mXw1inFFIjGYxTtQJ1isEa6VCDdKeF1t1r2DbHqT1PGw\nziDbJBkSNhEkKKhxZLHL/uo9JraWqSk+LJ+AL1ZmTpymqyrIic7DR26D/vgWVlz4e2FMB7AQuDlw\nEM0l0RWvYj2EXmfN57066L01N5zORGddDpvasLPpvQYWZ1JpA6RzM9A5vg2sTjmfDY5OyZ0TVJ33\nbf98r5nGuVjsNcE4XZbOzVI7q3fW4baP2zueMyuHXQqlLUqshofY6t/PkxKPHbB9VDnINd7mHHda\nh8hX4nwm9nVOSFdAADFkcT93gHffuMCzz/0VSd8KEgafTr6ElzrfFl4kZuXIbiWovBXlraMXkAd1\nPnvjPzAY3ICwgJB6+OtvAF8F+WkddaCDO92lX1ohmdriG9qn2YoniUWz6KKMKrQJUeTrfI4iYc7x\nNpq3TZUgZUJoZhMt1yH4lw20mQ7ZZyTejpzHJTYpEWbFHGVQ2OC8/jaTa6t43VWqE26UahcxZ6G2\nTO5LsxiWzBcqL5Hzx1gXBymZIQJiBZfQ4h3Oovi7JF1bzJYeYKCQVvqRMGgE17DGwQxLNOMy+akA\nr3AByTI5zSX62GHCesA2SV4svErEKnDJCnOfGQpWBNXsIIs6Vp/A9754vlcCgCpN3Ch0iZJHRyZM\ngX0scJyr5IhzmRN0XQolgtzlAKe4RAsXgmVysn6dY9YNcgk/O0I/DTx4qdPGSybTR+ePFPrO5el7\nLo+hS1g5kdByg6fil/jGUIRL3tO0cNFBpSwE+a52kYbm4Vb0ID/DH3Bq6TLH37iD4LcojgSYj4zS\nFrX3i18d5Db7mMdERDU6vPW4J+8TEhbwsvFx8sYI57mFjvG+Jhse5ZWdumNbH21ztrbxxN60c5ZM\ndSov9mbRdtig5mx04DTR2Bmws+Srs0KesxmBk7O2x3NSG3vdjPYTgr1ZaIO1XT7VSZnsdWPuzdj3\nhq3HtlUknYf/riBz3TxM1XgO6++wh+iHiccO2B6a2C2uZtx38cs11pUhPNT5pPVtzhYv890rL/Cb\nv/vfII93aYx6WGWYB7kZ3GYTX7zIldIZNtIjNCpe+jqbxDo5pLROI+Ci3S8T6DaRbxtwC4hDK+Wi\nZnnpmmVEE9xNnbPCJcyySGSxwo2ZA2RiMQxEzvIOOyR4hedp9bsJ1SucT79DsFrBXWmhnu4yPzzB\n5eAR9klzNPDQaHv5ycWvUfd5eW/wJCvjY/RL26SkDTqjDepHIOsNk5C3cW91EN8ymTl1n7XQIN++\n8zmWxycZTi1zjGuodLgrzRAOFIlLac7zffxUibeyNBoeXh8+TzoUp4PCNgNM1RcZL2ygKW18cpeA\n9B36xQwVxUdV8LPAFErJ4Iv3vs7KyDClpJ/T3Utk5Tg7Uh9uWuhItHAxxBoiFgEq+KiRaGcZaWyx\n4BvFozSYZJFXeJ7r+hFWmyNc0o7hlquoQhMAA4kHTOJhmaHBVe79yiQj/g3UaIdX489SNgJ4jDr7\ntAVqbjdj1jKnjPfwC1UKUoSvGT9BmSBPSW+h0aEa9MMBwAeNqIc1cZgbHGGZMYZZw0OD1kOn6+n3\nrvDbj3vyPilhCWx8Y4yIbHC8K76fSXZ4tN6Hk8+26QUbKPc6/Nzsyv9ssHXK3GyruhP47Sx8b9ME\nyTGGDdRORYiTEnEqNuxSsXYmboOy0+TjHFOhl5PVHOPguKYzM7fHtekfG8idTx9OyaPzSeL9z9iR\nyF9OkE6Pwd8XwK6WA7hoodDFL1fpkzPMsQ/BEJjtzuEzm2wFUvRNbqP7JEwEhtjgHf0pFEPnJ/gT\ndoQUuC2eG32ZwdAKY+oihWQIQdRxZZtQtWCFXvXDfeCKt/CmBZRir5+S2Gcy2NlCyIJ0T6AzoNHq\nevBebnOi/zqlRJjN6AA7rgSmJJKsZQgYZUruIG8MnudeZIpV1xAKXbzU8Vp1DnXvsqBPsC4OkQtF\nqeNGtVpUYz7qcRMxbTGlLqHUuzRdGmkpQV6I4ZHqFIQwYJBghzYaaTHBFe0YYYqEKGEiYBkCeldm\nPZDimuso2UacA9ptUsY2oVYV2qBpXdz+Jg2Ph6blwl+tUWoFMAS51wtRKNJEpShEaOHCTZMkafJE\nyRInS5wIBSJmkUClRlzPg5QjQxixbbKv/oBF3yQlMURMyFFXPTyQxxlkAxctPEaDSKdMrJknRZOl\nEyMoRgefUaetSpRFL2W8RMkSrpQ4l7vEGe+7hNQSFQJsLg6TdcUYme45T1e9I1wa6xJxFci5IswL\nU9Tw4aVOlDx97NBPGgWdAfHvCyECWFC51KAlNojq1vsdUWzXns3LOsF1bwa914jiVFDYwLW364rk\neNmZrbM8q1Ph4dwodI6xF2Cci4Z9D9YHfN0LovaY8KhByF5U7Iwddp8AdB6lSZzKFnuRcPZytN/v\n0svKfbpFd6FNZavxRGw4wg8J2IIghIDfopf/WMA/BBaAP6JXln4F+LJlWaW95y5tTvAJcg+zIxcF\nIoiYxDsFJmob3AlOUf+kyuyL16kJHgbp8J/wR+Q8MbqWwpeEP8UbrpMPR/nF2X+DIUgUiDD/yTFm\n39OZfS3X+w3feXgXp6EvkmVoW8C/qmP6oXsI1JqFmAdzS8BoSrjvt9j3j1YQP2HCx4Ez8N3Y0+TV\nMEqwix4XWHQN8b8qv0ZHUImTBSDFJsPKGq5UC0OR3gdCA4m64KPgDVHttJl8Z43haJrGkEbmM0H+\nTPoJbnKY5899ix2hnzT9XOMY+7mLSodv8Bn2Mc8s9ygSQsUiShkXLTabKd4sP8OLsW8zq9ztNeKr\nQ1eQqIRdrJNCyZvs257nVqnNfP8gS2eG8Ap1RAx+T/1ZfNSYYIkQZVYZ5nUucpPDfIzXON99h/BK\nDcWjU5vQCIolvLk2gysZfnHyd2iEXXR9Mi/zY2wwSIgSKm36ujlOFm+TK+r0pyMsjYyQVhNElALP\n8l22SbLGEF7qjG5uMHxnG2G/BSHwNvP82le/wnp/kuvT+5ljhmuuI3yv/wInuIKAxW0O0UeGUVYo\nEmaCJY5wgzJBMqf6PuTU/3Dz+kcbFixeI8Ac+zG4zG4bLdhVWNiqB5uWsMHMchxrh12ZrkaPWrGr\n9tkg6DS62LVJ7HraH4RdToWywG7mb9+DbTXXH44Jj7oVYRdwbcrDVoTsrUViF7WyFxFnLRDb+u56\nOI5tPbd/B5LjWNuO36X3xGE9HLMGDAKzpo5nZxG48gGf+KOJHzbD/grwTcuyviQIgkwPMv5H4GXL\nsv4PQRD+O+DXH74eiW5K4vXORa5snEX06Az2r3CK95DVDr/l/XnOLl1iWNvEO1bnC42/AAv+pfpf\nEnIViQoFXhY+ziYpwlaRgFHB916TgVs5uhWF+oybK88fpGO6GEikGZnegElQRR1XHaRBi3wozIaU\nYPz+BmZLYv3zA4zOrRF8u4qomQg1i1wlwq3Afv6s/iW2K0naQTcHlRvEzDy/lvu/qLp9ZH0RXucC\nSWubA9zmr3zPUZN8PM2bmIgEqBA3ssS2CwTLBpmzIZa0cYreEKKos6MnyFtRVpVRppnjILdZZYQh\n1kixSZJtYuSIk6GfbRKBHbqCSFXzcUq8xKelbzKpLPBq8zle1T/Bz4b/HV5vhbc4xxQLDPo2ySVD\npILrSHRoCi48NAg8bGwwyAYjrFDDR54o1XaAykqUjD/JWmKYwEgVv1ylJarkhBilgIEy3kHxtsjQ\nx3WOYiASJUcTFwo63na956rcBhaBAZDVLm69RaDSZEuTqHoDhCmSHwiiuyQGjCzuuRbcB6HPwjvV\nIMUWEYosMsEbXMBAYjy7wn9147fxeusU+kK8MXKOsFVCMQwWtCluCYeAVz7s/P9bz+sffbRRTnQJ\n/ZKC+s+6KHet98EHdru7OI0ie8MGNltpYVf0s4HTzixtwMTxPuwCusVu9xenJNAOZ+Zs91O0y6g6\nNybte3KqPZwLjFNB4rwfmwKyAd2md+zPb59j0yhON6PdEcdZetW+T9sdCiA9qyD+nB/hN4CVj94w\nY8dfC9iCIASBC5Zl/QKAZVk6UBYE4XPAxYeH/S7wGh8wscWggY6ManSoNAOsV0YZ8mzQlhU2tSQt\nXFhGr2UBpkDFCnCLQ5xULuMSm6wyQoUAggFv1i4y3ZhnpLJBciNDeipGNhVhw5VCdXUYiW+ADJZb\nwBREKkMusr4YG3IKU1ZRIh0ah1Sm5leJVksQhu6ARDus0Mkr+I06FbXJWjxFQt7E023gtlqErQJh\ncnyPZxAxCVgVDF3CQ4OEsk2OGH6qxMhhGBIr7iEWR4dRGgZdVApCGMOS0Kw2JSuEW2gSJ8saQ0Sb\nBab0RXSvhCp2EDDJEqfl8aCoOpYCh7jFOS7xQBxjURrnmnqET5VCyJ02ZU8QHYmq5mMtMMiUu0OS\nbbqoKEaXZC3NifXr1ONu0okkbTSqBMCy6DfS9Hd28Ol1WkGNkuhnh34qBDA1kZwWIUaeAhEWmCJG\njn7ShKwym0KKbWGAlJphU82w5EqyJQwwyAY+q0bLcpG3Yg8t+QLtoIbl20HLdZDkAG3FhXe8jpA0\nSO5kqIR87GgJREzqeJHbBud2LqF4u6SVPoqpAAP5NGpDpznioa56P9TE/7Dz+kcfBrlYjDc/9knK\nv/0awkM3r3Pjzn78d/5R646vToONE+jtsGkNmwe2+V7nJp645/wPWhjs6zjHdNbcdoLwXoei053o\npFrsn9vn2xSO/QTg3My0r71XPeMc36k1dwK2fc/bAyOkL5yj6i/wKCP/0cYPk2GPAVlBEH4HOELv\n+eBXgYRlWXb7hR16RuUfCC8NnlVfZXBinbeyF3l37Slaoy6e832HL0hfpTDlZ06YIE+Ur2i/jITO\nsLJKgZ78bowVGni41TnMH2d/js8d+hpfPvSHXLj9LgOeDFqmy0ZyiG5U6S2XVWgENUpBlcWpJEUh\nQkP08vrZKZJs86zwXbwzzV7xrW2o/5gLbV+TZ996k2eG32FnPM47HEdG54Eyzv8d/8dc5DXO8i5N\nPGwJSTJmH59Nf5uKx8e9gUlKhHDRIiwVWR9I8QcTP8kbXOA3cr9B0lrjD4e/SEzJodKhgYcCEep4\nucZxjudvMVt5wMp4Ct0lUSTEX/DjlJQQEbnAGeFdJtsreJttVrzjiC6dL0b+kIPfuUtC3SH45SJt\nQWWNEe7jJkScONle1t+tMbyyyfTvr/Cbz/8KX3vxs1zgDVpohLUiR6Zv8FzjdS6W32IzFOeOepo3\nucAUC7TRWGKcJNtotFHpsMUALqvFJ81v8b+Lv84b/mc4dvAqudlXqD09y6o0wqfMbxIQy6yGR7gv\nTHGX/T0dNu8yJG2wEe9nJ5pg53Q/49IS41srDF9Lc+/oDMv9Y4iYpOln05PDHBPBhJia4xPGX+G6\nq1PLBOjvSyOpHzrr+VDz+qOI66Xj/PK1/4mj1c9zhNcfqR1X4wd12PYjvk0JuOhlnG7HMTbw2aYX\ng142bGfae80tTi58ry57L/XS4VHzy96NQTujt+3vdjbuNO/YmbPdxssZ9nVajs9in2tTPl3HtXk4\nns2/Czxqy3fKHd/OXOBrl36TZu1/4EkKwbL+/9l0QRBOAm8D5y3Lek8QhH9OT4v+y5a1azcTBKFg\nWVZkz7lW6OQYqWGBOj7Mqf10x48w4lpBzhk0Vn0k921QDfm5a81SbwZw02TIu0qYPAGquGixyihr\nnWEy1QSDnnX2K3c5WbuCKJo0FDeGJtJnZkl2dpBaUNG8vHZd5sx5kRYuSkKYLhISJm4ahOpVXOUW\nYt5CieoIbotOUybj7qPq8aOobcJmEcOSeVs6w5ixyoi5ynX5KOF2kX2lRXzzdZaio9yaPMDkm0sk\nSRPcV+bV2xqDF4ZZ96cYaq4DAsuuEapCgDpemrhJskWACjX8xFp5fEaNjDvOUGWDvkaWq7Ej3Ddm\nSbcGGPBvcKp7hbPV98iKMQquEFWPl+TONrqgsNI/TPChTf07b3k5+ZRClBxtXETNPP56DSMtcy18\nlPnYFEHKtHBRq/sQ7ojsD9zl6Pg1CnKImuinhYaMTgMveaIEKOOljosWbpq9UgGWSU3wYyISpMRb\nb4nIT51CR2LGmmPamser17kqHueGfJhRVrAQ0C2ZU8Zlgq0yektDDHTxtJsE8g1W4oPkvWHaaNxl\nP3JX52LjDRK5HBptakMubl5VuHFfY8s9QEdU2fn6u1iW9UFP5X/9xP+Q8xoG6LWOAog/fD3m8Ptg\naIBTG3/AJ5trpLuPbpg5NxmdIOnMKJ3dV/b+4pyWcRc/mG3fAk4+PMYGxw/aINybddvZtj2GU8Nt\nv+eU9znVJAA3gWOOsZy8tq1e2WtTh11Xo3Mx0ByfySkdtI8xgQEJ7oSO8vX4i7D8JrQ//H7JXx/Z\nhy877n/g3P5hMuwNYMOyLLsf058C/z2QFgSh37KstCAISSDzQSfHfuWnOfXTg1iSQFaIUyTMCSSW\nr09y6bVPE/3kywTGGsTNCfrLAn1ChpmQwbjQwYNEjhhVzpLTpxmsy4RcJXzaGFMYdFDJGzGUms6U\ntMCMouBqG5QUP1tenS/+VBVTsNgRFHRkioTZZIApFohSwEJELAs0DA/pUIyMeBgXCh/nZSYLedRS\ng+PtMkNKjZS3xe1omXi9xORaBdENL01Msnr2k3xx/V8zSwvjogdLaPK5z26TjzepCx5yQpQpKUID\nDyVCbNNPEg8JdvBRQ2pHqRkjzLv28dTm9zmdy5Da58Xb3cfbpQvkfS5U4y/5WGODiJGn7If5RBiJ\nQXZI0OEwfWQoEMGHyce+XGZ/t8R2O47q9oNmPXRYjhAhRYUgBhKdvEbaGmR4MMKZiyXWXYMYkoCH\nJnmiFAlTtfyMlVYICWUImfioYSKSJc4Iq/jNGoXuMEumjP9nThOgzLFWnUPtEhGpiKhOUlbPchyF\n+51ZrreP81Py/8bHqq8zkE9Tj7qR6ibedVichVJcR0DnpXqClu7horTAvrU6wY5OYZ+HkZ8/Qlw4\nzTv6OdYZYkc9+jf7m/g7nNdwFjj0Ycb/m0dVhrtuxkYifOZwh1uXs3RaxvvqDKcd3QY8p4rClvnZ\n9aidygqntE5hlyrZW/f6Ezxak8TO4m2eWHZcz1ljZC8o22Bsy+3+Y7U9bCXMp3jUBGNn6M52aPam\nIuxy3DZg29X67KcIp8qGh/9uAIZL4vDROEo9xddvxYB+envSP+r4nz/w3b8WsB9O3HVBEPZZljUP\nvEBPk3EH+AXgnz78+oHFiTNGgtfrz/Bl7x8jyzorjHCPWTKDScznBYqxEMNCifPS95kN3WOALbxC\nHY022yR5wCRFIoTkEof8t3AJLYKUMZBo42K7leKl+c9zIHqTF8e+gUdpoggdaixRFSFAhQQ7LDHO\nBoPMs48wJQQsKgS54j/BPWZIi0kKRBhinbO8DesS0StFLt59G2lUxzgukvDt4PE00EdADoPi7cnq\n8r8a5AFDNF0ecgvr6GGT8fo6hiCQUaPghj4ytFG5xjHqPXEgCl2OFm+TE24CKwAAIABJREFUqGeJ\nD2aJDOQoJnzoisRp620OqLf5f5f/Mdc9x/nm0As8130VRepgILFJiho+BtjiHrPkiBLh+xxoPeBc\n4TLGtsTOSITV/hRZ+phmjgPc6XVrYYuh8DrLPzPGTOkBpzauMj80ypannzw9fbqHOglzhxfuvY4l\nwWtnnuIyJ3HT5DleJUucV7ov8Of5L5Ds/J88zyWGWGd/dp5Auc5r4+epKV7GWGaZcebLs2xmR/mz\n4S8hhC2+6PozvDstpJsWvAv+cBUzbtHEzX+69fsEynXc3iaEdHBb9HXyZKR+drR+Pq98ncvWSeb/\ntn8Lfwfz+qOJnsZi8ekhXvnSFOp/8U1crfr7nWjsr04pnuvhmTbY2XzyXvrCaVYR2FWa2ADupFv2\ncsN2diqxq7awNxjtazrPd/ZktAHYXnDsY+zO7zao2kAOj2bsCrubj07+2tnqy+a57UXJXlzsMZw1\nw2shF2/8+lPcWJyAf1LjSeKv4YdXifzXwL8XBEGlpwf4h/R+t38sCMJ/xkP50wedeFp6F1kZ4nLt\nNP3qNl/W/oTx4hrbxgBvDy1RcIdQ6HKYm9RFLzskGGKddYbIESNOljxRtjqD3KichJyAx6yxOTFI\nWQ+zVR2k0a8S8eeYaC8RnS/hWm6z9Z0i/dUu1VKHlYJI+xfaBPeXGWOZscY6yXaaVtfFcmCcsc4q\nn15+mcqAF3e8zpi1gq9Qx2pA96KAEBBQXDp9xSLloI8VzzD9cobJ/AJfXvkao4MriMEuZU3HlEU6\nWQnlPZ3C8SiNITdR8txlP92qypmVa7BlYcgS5jmTit9HxQowtbZMWCzSdivUYn5uZY6wtjHKZGKO\n2cgdYnKWq+JR+vQ8k41VBE0gK3Vp42KKBcIU2UbnT+99ibv5Q/zc+O8SVfI02y4W1S4dQUWjzdPW\nm7RwkRb7WfGN0CdkUdRWz1qPmxxxNhnES50ZcZ57I/swBIkAFZ7bep2W6eLmwBEKYphtKQkBk5ic\n47i+TKqRQXF1qLlcBNQKkmBQIsQ6Q+RbMToljbWBYW55DzLuWSIV28Y6KJKLxsj2R8jQK6d7LHaT\nGc88XqvKkm+YddcgFTPIjhxHo9cg2CW0/g6m/99+Xn90YbF6Pck7zVF+rPYdZOqPbADupTuckOOs\nP+JsXmBvuDlrgDhNJs7NQCcw2tdy1jJxtthycs7O3pF7izXZ48AuuNsLDHvGtYHVHsdenOzP4uxS\nY4fzc4mO69k6bR0o01vcolWNb/7eCa6V+ulVfHqy4ocCbMuybgCnPuBHL/x15+6T5nBpd/kPzRcZ\nMLa4aL3OoeZ9dtQ4/lCBtzmHjxoxcmToo0wQD3VWGaFECC/1Hkdrhlho70cvKyh6m4weRe3qKJbB\nYP8q0437zC7PEbtdQrvd5dpdiFWhlYbOjoT2Y3X69meIUCRq5IlWS3hyTYZHNvBT4xOFl2lEFcyW\nQCKzg9o0aSZU6s9oUAJttUsgW6fu89KIeOmqMsnSNsl8Bilq0OnKqOU2WlFAzsmwA62uRldUcNGT\nxgkVkekbD/BuN2hFFLKnglwJHKdIlP3Z+0RrRYpqCDWgk64nuVM8zIWpVwm7CxRqMTbdSQpCFp/R\nomMpGEhU8eOhgY8aHVS+W/sYq/VRvuD6I2JWHlejy3Z9AL+rQkLbYUDYYksYoESIHRJU1AC6KFKW\nA+jIhCjhoYFKB0nQ2YkmUY0OE61F9m8vUOiGWfaN0PK6ERWDEd8yXrmOZBlIHRNDlWi5VATJpIGH\nHFFkurilBpKq0xI1CkKEdXmQWthLLexjeXoMHZl210Wt4eeebx9mALytKnfVGe4pswiYWFh4qXOb\nAxzQ7/1N5/rf6bz+KCN3x82D9Tifmo0hbLVobzcfUXVY7MrZ6uzSDbYZxsk3O/lcZz9E+EGg/CB6\nw76W06zipCWcWa8N2HZm6yw8ZQOp/b1Te+0Ef1t6Z3+mvUWunNUEnfTLXiWNLW+0760GaANu3MkY\nD17uY6Xi50mMx+50LBNiUMxxOvQOSWGbsuCnGZNxiTXGWcJLnRJBNhjEQx0T6WGN5y4dVN7lDDPc\n46B2k0CiDBGBpuliXt7H8+pf8rzvFe5IBzhw9z6J1wtIotkrApUCxiDRB0EssvEydXQMJLLeCJ2S\nyszqIvFoluagytUzB1GUDtHtIsNf36F5SKP2tAvRZ/Z2W74HbEC8USAsl1Emu1TOeMk/FcSv1vC8\n2iT+2xViAYifEDA+AwlvBq3dZsOd5BjXCNTqqPMd2Afdoyo5VxwdGZe7QWtapDMv4kq3mDHuURwL\nIqW6bLv7uZE/RmUrzGfHv0reH+Xfef8BR4TrvebDxDCRaOAhzw28Zyok8+u41gzkGOTUBH+69DP8\nzMDvcXD4HpfcJ1GEDtPMUcVPXM/TbXr4lvwpwmKBF/k2EzxghTHmzGle2P4eE40VVG8Htdgh1Krw\nSwu/xRtjZ7kZO0AfGe4Q4w/li+wLL3Cu9B7xfJ5X4tPcV2Zo4OFTfIu7ffspRQK9YlNsMsAW73KG\ne8yySYqjXOdM5TJPzV/izyY/x7XYUULuIreEQ5QI8pP8CWn6ucUhQGC6/uBxT90nOLYxDvhofuUI\nwr8yaf324vumGTt71ti1nttZrMEudWIf32SXe7aBTGCX2mixuwHp1OXYRh2RR2V1Tk4Zx/jOlzMj\nd7Gb5ToXC9uabl/PCbS2+sRpnLE5aXtcZ1EoyfFzmxKy1TPOBsKNTw3Q/s8P0/nVFXjHKXh8cuKx\nA7aMgSiYhKQSXuoYSDQ1jTo+SnqIfdcX0aQOtVkPhiJwV5jlq/oXSMppImKeF/k2GeKUhRBj8hKj\n8ioRs0CpE2Y/d0hKW2wIKUoDfq6eOcy2mkQSDRZrc5TbBYKhCvIZC/Jl5AWL3FSYsF7G7W6RmQlj\nBSGiFxmpbaIutvFuN1ESOtZdC/G+hXjeRGt0ezO4ArJXRx7WwQOu7Q6+d5psH03iGm8x+NlthHtt\n9IhGPhGhiwIFgYFLGZamRynGQmw824/RL2H1CURbJWCZlqqCBoZLRtAsNKHNrHqPuJpljmlueI6x\n1KcypK2hCxLzwj6ClBGwqBIgQp4YOTosEfXcZrCzgSQZzGuT3ArOEhwpEAiUcCt1RoQV2mhYCJzl\nHfxyjXn3OCvSKJskCVPkkHWLGDkWhEmUYBtXtYHrvS5GP9QGPGz6E7jdDVJsoiOj0EUQTFqSiqUI\nuIwWIaGEixYWIhotxCqIJYGL/a8z477HFgPMMU2ZIOMscbJzjYPiHfwDRUY9S3SEKb4vnKNAhKhZ\nINVNY8gymtShQJgVbfhxT90nOHSyWx7+8vc+xsduFZlmkQy72aezdogdNq+L4zj7fZs/tnleuyTp\n3poiTp22LYmzeXI7K26ym5U7lRj2+aZjTDujtzcQnZpxG3idxhqn29Fp9sFxb07A3lugCsf5ztKx\nKjAD3L05ymu/f5HsVsXx23qy4rEDtkIHLzVC9DjUFi6yYh9t04XZlgmtV4mpWawpi6asskGKvBFD\nlnTiZDjL2/wVL5IhwUFucbrxHgfqd/E0GnQDMlvBJKJgURoJMDcywWVOImJSvNmmfE8n6K4gnLRw\n3eqgZnX0KQVFr2F4ZFZnY5Tx48s3mbq/hPq9LkZTovlTGuqfdgm+VwcJ9JREe1JBzFvoKRn9gIQn\n3cK904YNgSujKdSJNvHhLNa/7tAIutnUklgIRAplRl/eYtE7Tu5kBO+zVcyihNww6DfyKLJOS1XZ\nIYGsC4Q6FVSryygrzHKPJNuE1RID/i2GpVXaqMxwv2fSQWLA2iIglIlQpMkGKZaIKkWsMNwNTHMj\nfIC+8CYSHUoE0WhjImIh0E+akhJkTpkmbSaoWL2Wan1WBh81+sQs7YhMuhBDykkEJgo0Bl2s+5Mo\nQocYOfJEiFBkhDU81KmqXnbEOG6xiZ8KKh3q+NDqXWZ3FnjB910MCb4lvciaOExYKHLEusHx5nWG\nhHWaKZkhaY0aXi5xmlrZT7hdputW0UWFtqRRIMpV4djjnrpPdORXPbzyLyaZGJjm4NQDhLVtzHbn\nfXC0gdKpvLA3B51Zt1O37QT6Ors2770NA2xgtDf23I4xnVSGk6d2ArDTgLO3G4y553xn1xpnrRP7\nfTurdhpnnFLDvQuXDey2dV8HTE1FG06ysTHDK5cmgfs8CR3SPygeO2B3UTnCTTZIUX7Im6bpZ7q9\nyHP1N7j11Cx3tH24PD0ZnAD8E+2f8bLwce6yHx2FGj4S7BChSHixQvBeAzFnUjoVIHcqhoBFjDxJ\ntllmjCJh6oKXrl8BD5iyQPGkn4rmQcTgiusIZUJI6OSIkcxmML8lwhWoxTzMRcZJPb1DSkzDDajG\nPZSf9aKdalNQopSNIAfW5wkKVYyURNqVJNQqESw3kFom7Y5GjhgjrBIr5RCuWUQuFLAw8VIn9v0S\n1e0gf/GFT7LqGqKGDz9VPrH6ChevvUliNo0RFBCAae4zlVmis+Jh7sA4O+EEHupskmLMWuaXrf+H\nP+ezLAnjZFgjjIeIu0BtRGNDTrLMGDV8LDKBhcA1jnGQWxznKtc5Sh0vBSvCZjfFppAiK8c5IVzm\nuHCNQ/8fe+8dZNl93Xd+bn45p865e3LGBAQCBAGSACmQIKmlRFGyZZlyrb1ebVCtLVe5al2q2pLt\nda0sLbWl1SqtKSoyiSQEkCAyBoPJOXWOr/v1y/G+d9P+0X0xb4aiqBU1NAjqVL3q7tc3vL7zm+89\n93u+33O4QgsvpwaOcuVT+/jJ3FeYWJ9hV+A6JSFCngQZNhhkkQe2axDn1QOsqxkUsYODSJIca/Tw\nQOQM/z2/RW9tjS+1P8afB3+SjH+dEXmeEFWUpoli2oiCgeYz6FXWeJpv8ttv/3e8UNpH/9PLFOQ4\nt51JdMfD2dVj93vpvsujBlzmxc8eZ+3IBPv/l/+d8MLqOzRCdxHOBWOXZoC7i3pwhyroltjBnUED\n92qn4Q7gtrjDS7tADHcPGeh+de8Hd7L47vaw7vtS1/buZ3aNMW523g1i7jbuueHuplGuoca9aVhA\nrifJ1/+3X+LK6Rj8xytskSXvzrj/I8I6G/SVa6wE+unIW3roMhFmZAfFa6F7ZWwZyoSpE0TAISRU\n2cV1QlTZIIWDSIA6BgpWREQfUsmlUqwkeyi1I+xevYke0JhJjZOlh4yew6fPEhkqgwHCFfD2tLmW\n2MlXlI+hKx6S4iYPcIY8CRpRL60TCnLLQC0bJF8povXpGMdF5FdtdI+HzUiceiRImQgdXcO3V6e/\nsIbfaZHW1vHJDdo+mVV/lFvBcVp48GY7BFothMMOmZVNPKd0Woc1VMUk6KkTVKpM2bfx6m28LR07\nIfH2kcNIAYNkOU8ml0PYbKHLXqoJicG1VWKVMjuiM7R0LzXFz6uR97HACEu1YebW8qQqcXrDa9zw\nTKHjIcUGEcrU8TPHKAoGCXOLYlDbDnk1ju0V6ZXWqBGkIfhZEEboYZ1J5zbxlTK2qLDZl0Bx2kht\nk1SpiBOQEBuQuVagcmud0esKgbEGOS1FhRDN7Sk4B7jIKr04HodWVGFTj1ISwxiqQlPwom/TM7RB\nKIKUdYgbZbxhHXvK4XjfSULRCutamqoQom1rmKaE4H93ya1++GEBDbKXW8Qkk8887CD5YOP63brk\n7u+72552G0bcLLgb0Ltt4PcWALuLdy7P7ao24O5eH92FyXtlfq5Cpbug2a38cM/tbqvf8zm6TTRu\ndGfoLjXTDXJuJu8Cfs8eiB10+OoFk7UrOlvPFu/euO+AHTcL0PDR8AZpylv9HwxUbisT3FImOcpp\nQlRp4aODShuNAnGGWCTQqXOrtgPRa6F52tTEIGu9acyMwKw8Rk0IEqw2eGTuNBd79nIxdWDLGNOZ\nI2guEZgyaOU0Wos+HAfWpH6e936YuFTgQd5i3JyhJEcx0xK1Zzx4xDbe13VGXlqm/XGRzgEJI6dQ\nSQTJkWKTFAYKqqfD6sE0Wr6NN7vKeHsGqWbSQmXJ308wOM6AvoyZU2nbXtSjdRIXSmjVNsu7ejB7\nJaTwlgV/wFxlqLkCVZHzI/u5eHgPmtBGXIGBxQ3kcyb5nQHmDg4yen6ZntoGliqjVA3e9B7nt2Of\nI0Eeo6WwUhykWVfohFXOcgQTmUGWsRFYsfvJOSnGmSFilonqFfoLOdYDSUSPyW7pGi3BywLD1AlQ\ntwPQEem5tU5GyBOMVohG89h1B/9iG29/GxqQvFTm1DJ0FoIwBILmYKCQpYcJpplgmhoBcnKC0/Ih\nhvyL6Cik2UDCwth+gioSJdqoElyrEa7V8aZbtMdFHt31EmlhjUscQMAmTgHN7qDFa2x8n7X34xCt\n59fRr5dI/HwGuajTul58p5Doao1dysDVP8PdMwzdrLZbReISAi74drsQ77Wkd8sCuyV03YYaqWvf\ne23s3aDr7u/y226u251pd8vz7m1Q0K166aZe6NrepWEkwD8cQxjrofF7azSXWrzb474D9orWx9eS\nJ5Bkgw4Keba0tCW2pqPUCJJmAw86IaroeFhmYIvrXs1w6bkHsI44DO6Zp9+3wlfEZ8mLCQJCnSOc\nZZ94Fc3XxlAVDBTS5Cj6I0xH9/L+fWvUjABnzQewNRFJM/m36q8yLU7Q09pgaHMdPX6NciBEkTj+\nfgPvrgrcAkV3MFoK84/3cSsyQY4UI8wTpYQHHRsBK+ywLsRJvlbEt6ZjSwJ1PQQ1iRMr53kt9RC3\nOxM8/fVvIRsWvpTOcGWVck+QDTVORQ2R7uQwVIlyJkyPsEqoU+SmsoNa0seqk6TnZoEqIaaVCWZ2\nj1MnSEGL0xdZpSKFSLLJ0zyHGHUojSRIJnvfadYUpkKUIl5arOgDXNL3c1Z8gKYWIKTU2Fu+RcIo\nsdt/m2XfAEvSIBukOcR5jutnGNjMol3rQAcmQkvYI9aWYPUk6I9qbIwnWf1EH28Kfs4d/zhrnl5y\nTpKqE0IQHV7kCa6yBxmDCBUMFHrI4qVFhnXGmSFAnRlhnFImzj7pKk+ZL5LfH6Ge8iKpJprQwUOb\nVfp4mDdIimdYVIfYFH5cpqZ/v3CY3xjkf/r9/8hnG1/kQ+LvcsHeohtEthyL99IgLji777s6Zrtr\nG5XvDheE6dq32w7end1289b3uhthC+TLXZ/DpSfcoifbP1e5M7SgG+y7zyl2be8WLw3u7t/tFlrd\n3iIBYCfw7ZOf4M8u/xTzG5e3z/bujvsO2C3JS0P1oiESo0TMKXHKPMYNYxdZo59j/tP0yFkcBGoE\n6aCSIoeCgeQzSY5s0B9dZKd0jR3c5KawgwZ+EuSRsMipSYx+DVGw+ED+VUSvhaianFRr1EM+7JrI\nQH2V1WCaoLfKbq7TwosoQd4XI2EUSRSKSLqFHDQwdwvImkOlP0Q2kmI+PsxteYIlBllmgEOc4wHj\nLMqqjaA7CBYElCbttEY2kMY332CwuETsbBn/o3X0PpXKwQAbShozKdPnX0WumnjtDngE1uReTEsl\n2cwTK1YI6zVK4zFUbxs5alA95EOPKMiCwUqwf8uSTZq4uomEgY4HjTZhpULSb1NXJ5i3h7jdmWJS\nvk1cLuCniSa1QYW6EGBJ7ueKtBsnKeJXW7RkDz6hyTgzeG2d3ZWbhM0qeV+M5GAR32wL+bkmrY9L\nOFEgCqFsg7rsZ2EsQTOqIsckMmQJOFVsQWSAFdboZZU+hlnARiRLD028LLeGyTb6mQxNE1RrdFDx\neBo0Yx6ujOxESJhIgQ4aFlfZzW2mGGCJPAmWGEQXPcjflVv9uIZDo+1wdcnkhZFjWOM2gevPodQ2\nvovK6DbYdJtpXPqhu/eGC+Jwx9qts3UjkLkb8LvB+t4Cn5tVd/c5cQG025zjZtSu3dzdrrvY6UoP\n3QJkNyXSnb27fyNd5+kGawmoB9N8a9dH+M7GMa4uuEfrVqi/O+O+AzY4xCjQxE+KDVLk+Avjk8w0\nJtB0myn1NnvkyxSI86b9MG1HY490BQcBJy1w4unXOM4p9nKFAHWC1OhljSilrY5y6gjmoMzB/GU+\nWngeOWrSEFUWUOgwRLRaY//8q5zz76HtU/DSIkSVihbmanKKg5vX6CnkaFdUWv0ylUk/4UiLDTnM\nLBmK7SgbZLgp76RIDM1qc6L+NqG5Jp5SB1m0YBBy/Ulm04PEv7jAVHEd4aLDyP55qgd95J6NcoYD\ntPDyEB0ycwXC5QaejE5OSlFpR4gWa0gLdZS6QV8mi+roBDp1CnvjiJj0V1ZZ9g9Qk4PUCBKjiI6H\nPAlW6dvi/qmy0UlzVd/DWq2PwfASgUCdGEWS2iYpLYeAjYnMTaYoD225TAUc4hQYZ4Yxe5bh4jKm\nonB9YIKdx2fJdDbx/L6O/rAHc1hCONBGvWmi3bKoDoaRqDPh3OaQcZGaFECXPOzmGq/wGN/hA/Sy\nRtPxMW+Psmo9yFptgGohyl7PZQbUJXpZI0UOw6/wqv9BhlikjxUCdp3zwmFmhHE+63yBb/FBXhbe\nD0DAqH+fdffjFFXgJC8PPsi1/Uf5x60FBhfrGJXGO/I2F+TuLUZ2DyXoBkBXHtitYW5xZ6q4jzvO\nSRdo73UYdofLT7ug260S6aZAuk0yMneeENz94M6NpVthcm8W360rb3HHvi4BhP2sjOziDx76JXLn\ns7Dw1t94dd9Ncd8BW6NNiCrDLLJJkheEDxHU6uyXL6IETZqqh2X6aeHnSvkgC84QFyIH2SNeYbdw\njY/zNRr4WKGfMWYxUGhtN4iMUCZOAQeBdkjhoncXg8oSK3If1/GzB4FEqIQ4ajHiXWDDSTAtTDDC\nPBXCXOAgw9YqqsfgTHo/OV8Sv9Tkkd43qP1OEfVUjYc/dZv2ER/rQxn2c4nDuYuE1lusTmQI5Jv0\nzW9AG3ydBv2sEKVCWLUgCmGlgolAiShVQnRQqRGkNhkCE3q1NSauztHMBvnGwQ+z6+A1jjbOkKwV\nkW7aSMsmaalIvFYj3Swx+7FxssNlDBSWGKRAnDwJrrIHCYs+XmN6ViW7OEynopE6VGBiYpowZUTn\nGIajsE+8vHXDIsIs40QpMcQiEtZWG1WxjZEQaIsa60KafCzF8LElHgme4tyOw2z4EwwNLnE7PsV1\nYSc3tClWeZPeZoaxxb9kLZHmRmqSkzzICv2EqeKnwVJ7kNO1o+iFIB1BQY7qKEqbMBX6WUHHwxKD\nvM0xTnGcvdYVPqf/HhPqDEGxxv72VZqKn7oS4C37BIsLo/d76f7oxeXrNI1l3vrln6RyKsLYb30F\nuJPRerlT6OvOuN2Wo26eabMFzO4kmm6Nczcl4Xa+czlzV2rXrShxqZUmd0DVLVLe28/ELTZ2m2m6\n+2+7oO8Oyu3mpl2wd1lol2Zxo3sU2OxnP8S1o0/Q+O0zcOPdT4N0x30H7CY+5swxpkovUFGjLARG\nKGykQHUIJTZZpZes3UPBitOWVBShw4aQYg8QpkKCTZoMUiHMBmlaeGnhZZEhelljhHliFHFUgaya\n5hYTNPFh2rNE8mU6aJxJHMRSoUiUZQZ4pPomMSoUQnHaXpUVLcNmJAGCQ6BWR561iF9tEZiu09+A\n3dYNDEtitL7A1PwMntsdfCM67YDK4mgfzYAfRenQU9kkmG/RscJcOLaP9O0s8esVJElg177bWH0S\nSavIiqePpuohyQbJQglzpk6fnMWYUFiJ9TFwfQOnLdBI+vCbOt58B2XJZKQ1TxuFOAVUOqSdDT5h\nf5mgWMMj6FjI7PRepxX1Me2ZIO1dJ8kmAepMcQuhAQ9On8LnbVFP+VkK91OWwxSJ4aOJiI0jClz3\n7UQWDELUUBQDO+0wHRzhdmCctq2xS79F0p8nopbRBQ8GCkUpylnvYVqKxjoZppmgSggZkxpBbFEk\nrhTo814jL8aZ1kaYscdImRtk5HUWGWKBYZr4WKOHULuOkrcIxBoofoNNMYFHaDHKHJskqXhi2y38\n/yHeiVIZfbbJ9PVeApkxen9uP+qLc4hrtXcIJBd43czU5aTdvtcureFmuvc6FV1OWO96T+duzXW3\nwsN9r7v5VDf42l1f3c9xb4Gym+pwz0PXsTpdx3NB2T1Wd9tUqy9I54kxltKjTN/w0p5Zg9K7U2/9\nveK+A3aZKOvmCX5i5QW8oQ51Ncji/CjeYJN4Iscq/eTsFLeMKQ75z5OUsiwJg0TtEqrToSDGqTph\nqk4QS5TeAexr7KZEFAmTIFV8tCgT4U/5NBnWCdsXSKxVWPH28q3E+/GggwOmqUBept9ZJKyVWAwO\nsiam8Tg6/c4Kg6UVoq/WSVa3qA5SMOadIWmuM5hfx7PUhhswsJRl4UQ/V57cQd5JMFxfZjS/hGcd\nCkaSFz74fp75X/+KHS9PE1eqTPyzBQTNgRrketLkY94tA4sAkUqFD7/yba4LU9w6MkkiX8HqFSgc\nCJNqFPFrOmLZZlKZJkiFHCk6jkbGznLYPMdtZZJZYYw3SPHTw69ycPgsf8TPkCCHuj184Lj5Nidy\nb3PgW9cIpJp0DstseKI8L3+QF50nyQjr2IjUCXBSOUGfs8qD5lv0mGtUxRDn4wdZI0O6nGfX4jT7\nItcYji6wEU7RokxVC/L7g5+lR9gaeHCeg1imTNLKE1YqhNQqj6qv8GjkVS52DrCg/yJn20ewLJmU\nN88VcQ91/GTIUiKK0xEQNkUsr0w+mOAtz1FEyyFo1TkinoUBOHW/F++PYJgbHdZ/bYH1f+Gn8m+e\nxJv7S7SyDk3jHdDrVoh0N+3v5qDvnQ/pArjGFjDWuSOAc6mGd6aNcwfU7+Wa751c3i3zc28U3fpt\n94ZB12fotqK3uVvR0n18uraxfQrmvl5K/+ZJsv/Zx/pvLfztL+q7KO47YKu0cRSd86P7uOrs5lpn\nFzsmrxLQash0OMgW7ylpFsutfgxBxe9v8O3iU1y2D3MwcZprjb1YpsRPhP+SohijToAHOINCBxEb\n77bCxEIiShELkXUxzeeHfxJLEglSZQc3GaivEV5voIZb1Fo+wicAuanHAAAgAElEQVQbRHdU0JIG\nsUaVv/R+hNcCj/HP9/4/REKVree4Diw1B5lLDBH3vIayv409BvImtNMaTdvHwfpV4k6eXDrMypCX\n0OQAimjQ/hmZ/IfCVMQwaU+B0NU6vACFZ2OsP5ZhN9fo7JXI9Ye5bU3SSagkpDxKxKTkizErjHLF\nu4/0/hxjA7MEUlUGLZ2oWMJf7yBjUPGHmBbGucUOSixiUyJAHT8NsmS4yEFiFJg6O8voxSW8sTYk\nwEKmQJw5Y4xbxhSPaK+hSAbzjJBhnZHaIqPrK2imjhn0EB7YuinKDRNhGsQGxFJlTjxxikUcTF3h\nxto+0pE8Y/HrzDDO3M0JNhb6+PCDLzASm31HHWLKMs96vspLuQ9xo32A31VSGHGB4/Ip/lnrD1jw\n9SH6LUrjAdpeZZsCGuLW+m4qjQj7hs+hqj9amdEPO+a+CZ11D4988lGGJqMEf+Nt4I4Ez50o41Ik\nbpbq9udwf+cCqWsH727g1OTuaTXdN4J76Q4/dzeAcouQ7nsttigYN9PvLli6AO1+7XZCuvZy90bj\n3hRM7jbPtD53mKU9e3nzVzRWz///vJjvorjvgF0iimUHebH6BMtSP3rYQyywCbbIUn2IjGeDXnmV\nj0pf57R4lDxJ/NS5Ie1FEizi5KmYYebzoySuF/AP11D7trLGDOsMOkv0GusEnAZe2uxQbtERFZbF\nNmpIR6NNPysYKNiCwJAyz7o/QVUKIHhFfJZOuFYnXisTEqus+np5a+IoQ5kl4u0Csm1S8wWoiQGW\nAz0shzLURD+JzRKGrNLfyBJ3CmiKTtO71aVOFk0cBOamhmlOeQhTwb4t4HTASgp4fFuTW6qEsRMS\nesLDKj34aBLulKn3elkKDHBJ2E9b1qgkgkiJDlUrRDRfZmp5Bn9cx4hKFMUAHtoEqOOltd3bo8U+\nLtPCQ5UgUUoENprEZsvQB03Ny2osw+vyI5zvHCbb7GdFHsQwFa7q+xjxL+AVW2SVDElxE0mxiFIi\nTBm/3ISAw6I8yFKgD0mwULCRhBYhpUqhlmDOGCcWL2Goy8g+m3Fxml5WcGyJZKVAgBZBpYlHtjjt\nHGVamiAsFBEFC1VsMyLMU1QivBx5H8v0UzXDLDZGWDUHaHc0lOsd/D0/WtzjDzsqC9AuSwQneqlm\nFHo+E2Lg9Uv4lnPvgGS3LtnNtF2gdsHy3i54buMlrWsbN+51Q3bL8LoBuJvW+OuKlu6t2NWDu7RH\ntxLF5da7R5h1c+3u8ZsDKebft59ceoKF2SSz34F25W97Fd99cd8Be94ZRdF7ePvSw6jpNpneZWQs\n1hsZLhYfIJvq4ePyl/jX/BrjvhlmGadKkGZ0ayrLM3yda/IeTuWP88Uv/iOe+ujXOdB7lhWhnz1c\n5VH7Vby6jdCBAG0eCJ+lIyrAMp/kz5ExaaPxDT7CeiDNSGCGJh4afj+FeIyx4jKJYgnq8JDvJJ5g\ng78Y+Bh7ucJBLmxrrh2ilLgdGmFOGGWZAXb5b3Csco6jxQusplJUvAH8VpNMscjI+jJXQrs5bR2l\nj1Welp6DloOeVtEfl0j6NjARWaMXABtxy8WJREP1kR1NcI0dnOYoKTa2midh8R3pCfYvXOPYly7B\nR8EJg99uMiXcJCyUmcOkzSAyFo/zEreZpEqIAZYJiVVsS8RakcjtinNhYA9/xGe41jiAWdV4LfAo\n9VaI1c0hnu3/KnpA5ZXAgxzmHEk2twu8RbSwiX1A4u3IYS769xKkhsEiac8mxwZf59yNE5xbPMrT\nh77G4OQpQpMVhpnDciQ2jQQ7V2cZt5fYFZ1mIjHN171P8bv8AnEK2MAr6oOMME+WXv5ffo4km+ht\nH6c2HiGVWCUolTn1pYeIHvoHBvv7hV6GU78G07+wn7HffIYP/fyvEVgroVjGO/ZuV0XiUgguteHq\nuLvnOra2X66ypLvPh3uMbielm7Xfa2aRu87TTc20t392reOuxK/D3WZxN8O3u7bpfgpwwVyUFEqH\ndnHqN3+ZuV9eoPB7az/Q9Xw3xP2X9ZVFjnlP8fDhN3E0ARMREZtJ702mkjepaCFWrT5+yfwNUMAR\nBWxEHuU1hpnnJjsQvA6Dk4sU/0mCw+p5nl55nsuZXfRLy9TsIM95HuVi8wjZSi8P+E6SULZGZr3O\nATZJkiNFlgxpcvwVT7FGL0knzwedb+HrNN8pR9cFPx50nuUrSGw1319ikB6yjJrzRKs1htRV5gMD\n1AjSrmkIyw7eUAtNdfC3m0imTdCoMeFM88fP/Syv2Y9z4SMHiA5XsDZVli8NMTI6g7+vyg12MsAy\nU9yij1UKxFlgiCEWyZPAQmKAZXrJotLeAs5oGSaAF0G+bON/v4G/X6cWDnKTDHH6UenwLZ5k33bP\nkAxZ9CMKp4YO8R3hA1TSIWr4qRNAdCxMW2bZHqDPv8KTynO0NQUdD2PM8setn8YQFB70nGSBYWxF\nohNTWFb6UOngo0mCPPu5tPUU06+wmBgi6i2SI8UNdhKmwsHSZQ7nL2MmBKoVP+qcxTnfIS5596Pj\noUicJn5C1DBR0GjzAGeYY5QNLUmyZw2P1gSvQ+LpLNFokex9X7zvjai9VGLmcxa18C/y/kcO8guv\n/DrLOGxyh35wqZDuMVzdZhr35Q68dTv7ueF2v+suBLa4k/m6v3Mz5m79tZuZu9Zz9xxwt2QP7jwV\ntLi7IOlm6h0gBkwJAr/z6L/klcgRNj43S/3ce+OJ7L4Dtp8Gqtwh3FMhQB3RtrnQOIzlSCTUHBYi\nWXqZYXzbdtzGMBUekt9kUFzeUjDITaKxIs2oF3+hRlCvoaGzSj9ZoZfz8gFetR5ltjmFx64xwixl\n6uRIscAQs0wwwBJpO4diWTQlP1WhjYFCVfXTCPgxbAVHgYy1TlLKkaWXeYbR0fB1WiTbBVq2HxGb\n8PYA3Y6i0PYrmJKE3DLw5A0ECzzSFldbI8iSM0iQIrfCO2jbXuQ89IlL+BDIkaSNhrhtufbaLQJO\ng3Uxw6rQSwM/fawRocw6Gfw0cGIwu2+EVHMDWTapCwFqQpAicTZJMsv4dtaroGzXzOcZIdebZrl3\ngAUGsBFRMDjCWcJqjZv+3ViSyICwzNPic2wISaqEGGWOGcbIbrddBRAlm1nvCGv00MS/1X+EJdpo\n2IjEg5sQtLHZuvE6CCwyzCiLhKjSthWEd+QHAqalUDcDSIqNIhok2aSOnwIx6ttDizu2itMWUCSD\nuC/P6MQMFT32vRfdP8Rd0ZlvUVwxKL5vnKBzlAM8S2biDEl5mYXbYFvfPW0G7gBpdxZ7r+7ZpSXc\njBju8MgufdFdBOxWhHQ7FrtNM92zFl0axej63lW3dNveBcCRITUJjjnA2ekHOOsc5cZqDF6ZBfO9\nYbS674CdimS5xlNIWOzlMjusW1zP7uemNYUYaZOI5vF5GkSkLUAodaJs1NPM+UcZ02YZZoEoRRTB\nQBRsVhI9XGAP14WdLDJMRQyTYR3BcWjZXs46RygSpsUKYcrECbDIMI/xCo9YbzLWnCPqK7GpxJkT\nRvHGWjiOSIUQU53bjBpZdFGjI6jYSEwwzXhjHm/T4MXkcSpqEA8tHASMlEA55aMkhAmutlBmqogO\nyF4Tn9DA96EK/c4Cj8sv8x0eR4l2+Oljf8II87TwUCTKdXZxhgdIscGj1mscM0/zRe2nmBdGtjoJ\nksVGZJYxfDQpJUJ8K/Yoj+99mYBQY9YzRkmIsk4GG5EFhhlmgU/xF4DDRfZzhqMsMoRKh0/wZfw0\nkLDYxTVeCj7Ofwn8LLYgcbBymY8XvsnnM58j70vgoUXUWyJHmnlG2M8lohS3ipWMMs0kXlo4FBC2\nB9LGKBJjK7uOUGaEeYrEWItl2PDF6LuRw6/rmD0y+7VLXDem+Er1WVLhTZLaJn2scol9XGcXz/MU\nPazha7S4ebOP6FCZSd9tTvAWXy9/4n4v3fdWGCa8fJIzzg7O8/v84VOf47h/meVfB7OrhUY3SHf3\ntf5eHsBuCqXJFrftHqe7V4k7LMDL3aqObvdity3eVZi4dEyTu/XW7mdyP68FiBoc+gS8VX+Qf/7r\nv4316l8BJ8F+9zsY/7Zx3wH7gH6ZPv4MEJgxx/lz4ycJpQoMzi2yeHqYcjhJe8SHb18V/UqAlu7F\nGFBY8W4NzO2gImMxxU12cZ1Vs5c/sj6DX2sQEOpEKNNGIxbbZL/vLJOem3hoMY2XElF2tm/zVOMl\ngsESHUlmxjeKINlIWCwySJoNgkIdDzpzyghZJ0OfsEoHFa3WYff1aTLiJmrY4BHPW0wHRpnThgDQ\nBS+1TpD4jQrBenPrWUwDf0dnaDHLp+N/zlXfLlbp4yAXSJGjV1iljcY6PVSIcIRz9LFKG5UFaQhL\nlNgnXKGHdUpEmWUMLy0ecM4wUMuiSW0afo3ntKepEiQhbLJBGgOVPbyNxE5qBHiTB9HoUCdAjhQD\nLDPBNCly9J/OkjxVIGKU2X/kKrVHv0ova/i8On8Wf5aXCk8SrRcYTC2xkxvs5AYjLHCao7zBQ9QJ\nMluaxLQUJmPT3GgHOFc7TMRf5nZjJ/qmH33BQ2Jgg/TEGiI2+ypXyWQLaMsGl6O7eaXvEVSvjk9o\n8lOhP6EqB1mhn9/kX5JhHUtXKRVThMJ1Qv4ymcllGj4vM/Y44+IM+8Ln+fL9XrzvtbAdHNYweZ7f\n+tYAXz3yT6l9fownv/A1hl86xQZ3hul2a6HvhTuDLVmfO5Wmzh35XYc7Rhy4u+c23G1g6R4Vdu+w\ng3tpGbfFazdoK2ypT4aBax84zjc+8wyvvTzD6rkwJi+AvfbXfPof7bjvgJ22cxzXz3C+cZiF8hiX\nWgd5evibpPybVJwo9WyQuhrCHhaQmzZeR0dVWtTEILOMUSbCWrkPw1QZjM6y6Axxgx0MssxxTjHM\nAm/YD+P1Nhn0LTLBNE18zDsm6Uaesc48U840dcdDU9SoiQGCVKnj5yp7tppRNTp0shqFQIKoVuQT\nrS+jhEw8jk68U0T2GhiaRIZ1Ck6ElW1FhzuQIWC0cWxh62paoNYNYrLBw/ZbhMNVXok+yk7hBv2s\nIGKzwDAbpEmRY4pb9LLGLKMILQGjrVEORZDkrQEOs4yRYpMdzk16nByarVPDy6w0So4UR3kbn6Hj\noUKFIh7WqTqTnLUeoEfMIlsW2VofQU+dgKdOur3JUGWFVL4Abeip59jBLRLkmVHHeU16BK2mE7NL\nNPDTyxpB6qTI8Twf5qq+j0oxStvykNTyJNhExsCxIUKJdbufNauXdkdDNVsktnvqKbaJx9ZpBjws\nRAc4Ez6EaNqEqbDDc5McSQrEWWKAhuWnakbwWS1004Pk8RFLbRJ0avQ4a6h0EL0/7u1V/65RASq8\neTOEGhwh/MwkvdoG3pgJBzdR54uIc7W7zDLdV9qlJ0zugIfrYuymO7ozZ7cgSNd78N0GmO65jfe2\nZDW4I+FzXZbSWBBrKM7yxQTXteOcCxymctNP50YRuP53vkLv5rjvgK0rHiKlJl+4/fOcnjtKqFLl\noWdP0hrXyPammT65i3InRm1ZYffkRSKhAk3RhyIYLDHARQ6wPDuKUrWQTlhYHgmP0yYnpEiRY79z\niT+xfoqUmGOfdJkR5igR46ZV58Nrp7E1gZMDD9AnLBOhTJA6furUCHKTnWyQZnM9zcZXBzCnZB5M\nneTnVv6ExJ4S1qRA87hMXQjTFH2Igk0Lddtqv4CPJpYqsXigj0SuxOT8PJSAItALvTObOIGb6Ec1\nIlJpe/qKn3lGKRPmaZ7DQKFElDQ5dq3fRlm3+ff7/hWl4NborClubXHSosJcaAAfLfzU3+kaOMo8\nBxrX0R0P55w+4jTwW3VOtY4R1sokWiWWboxT7o+hZdp8bPN5EiNFGAIMcOICDfzcZAc32MmSNMj/\n3PufmOI2JSJk6aFMhDoBWnixijLFU2ni+9eJ92XxiDppNcdk6DUOChe4GtrDmYDO+lCGMWmaw5yl\nQBxPqEHdr7Iy3ktV8hN2qnyn9TgeUedh/xv0ssYYszgIfLnzSRaEIaZ6r7LYGSSr9zDiW+Ajwjc4\nIZyiiY9v8NH7vXTf42HTuVCg8Aun+WL7OGeOHOcz/+d3GPi/3kD7jRuUt7dyJ8ts7XF3RzxXjeEO\nMLgXwL1sURtu1t3dXc/loV1u2mWYXS7bleh1m29cJYoK9AD1nxhi+hcf5k9/4X1Mvwid189gt94b\nXPX3iu8L2IIg/ArwWbau2RXg59l6EvlTtv7bLwD/jeM45b9u/9PyEWbkp5jJjSOHO6QOrdAbXSEl\n5tD8bf5yz7Ncmj3E5psZBp9cIhwrcoOdTHELPw1Oc5SegVX0lodz+mFsUUBT2ygYRDerhEot2loA\nIgXksMk5jtBBpSNe5pXUw+iSRlZIUySKgkGVED2sMWuMc6lxgKQvRyhWZvWhftRkg4C3giRb9Orr\nRK+UCdcb2EmBYLSFUAAlYuJLN6kSYoM0bVQ0uYN4tcn650FfAlMG+ZMgYtOSvcwKo4wwz1Bzif7s\nBqvxAa5HdnCFvfSwRpwiNiJqu0O0UeVp6zlOcZR5RqgSYp4R4hQQBZseskwwzSS3aeBnhX5C3q1G\nSLYgIGOxp3SdD5x9nUFriVbQS2fAQzq2xpg8yyuxh5CcEwSEBnvsq8yrAywwRIocPr3FYmuEC4FD\nyIpJwtlkR22GW8Ikfxb8JBYSR8JneHT/67STMl6xyRCLNIR5dgkaWXpQBINhY4HVpUGuXT1AKx/k\n0DNvU0zH+Lr4E+SE1HbB8wxDngV0NCRsQlQQcagRxBAVkmKeD0nPEzFq+NstwlaVfs8CSXIIBRH/\nW1/hN3/Axf+Dru0f+TBt7JqNzgaL8yJf/tUYwaufIjJgM/VPpzl85RIj37zFuTZU7buB020g1Z2F\nu4VGN9vu1nu7jklXTuhm4t3HgLsLlnTtExZgjwIrH53kyr69fPt3pyi8LFHOGSzOF9A7FnS6jenv\nzfgbAVsQhGHgc8BOx3HagiD8KfBTwG7g247j/AdBEP4V8K+3X98VM+IYRc+TmAGR/tQiU/uvE7ML\njNlzxJ0SV3v3sFAfpnotjGOD5FhEhRIjzKNYBh3DQyKWAxzmGyMMGsskhTzrcgrHEGjrHsJSDaOp\nMcMkC/4hBNkmL6zwgu8JmpYfs6GwVBtGUBzK8RCDLLHppMiaPfQ4a/SGVvHubxFVSuxyrpLzJBjK\nLdG7kYN17jzTFcDj6Ch+gxVvP3kpAUAPWaSCQeci2BI4FSC/tZ8jClhIVAnRsAIMtbKMV+fQRQ+z\ngRH6nDXiTpEFaYgVbx/tkIcReY41MiwxyAr9VAm900Y12Koj1RwS4TySZrHAMMtaLyI2JlVCVBlt\nLPChmVfwVHVyqQTmuIiitelICt8OPEGDAAnyCNs3MBCIUmbQXmK4s8jV+j4kj8UHPN8mY2ywJvQy\nxygTTDPkXyQztk6eBDoegHeMOzOME6bChH2b2dYO1gs9LGaH2du5QEPw08BHx9ZIOZvscy5jyPJ2\nwTSNBx0dLzWCDMmLaE57azivcJEB1jAtGavtYFoybd3H/vUrP9DC//tY2++dKFLNwpkveoBJouNx\n9KEI0ayF4hWZ6YvhieQJVGeIb9p0Sg517mTH3TprN7qLgS637Wqk7a73uwua3RSKCniiAv5dEu1s\nkgVxlNhGkbnEDi4OHeEN7SClSwW4dBt+jLrKfL8Mu8rWv4tPEASLLffoGvArwKPb2/wh8ArfY1Gb\nyCT9OYKP1RmTZjnABbxiC6ntkNRL2D4Ze9Qh0rvBRXkfQ9Yij8ivkyDPSmeQa5sHeCB6kt2Bq+wI\n3uSD9ZeJV4v858h/y2o6QyBRYZ94lrOrx/jCys8ztuMGQtBiwZngWu0xmo0gNBXEKxa+aI3IBzYp\nEsNQFAKxGprQZkKY4R97/5ABZxnLkXg9cpyOonBYu4jgdkIHiINmmASW23SGPDg+gShFRpijt3+D\n0EfAI4D8IWAOCEA8VOAh502mmeCWfxJnCobnVsgUczg7YdRcJGFU+GZwN/WBAN7eFqJiI+BwmHNc\nYh+9rPEgb+GlxfjGPAcuXuNbxx4j35MgySYGCk18dOgwzAJ7pGvIXgNKEC+VeGr+RV6Xj3MyfZwF\nhhFxkLC4xm4GWOYIZ6kR5JD3HI9Ir/Gr87/Kee0oD428Qccn4qfKbq4R234SuM0kOh5aeJlhnDo5\n0gzio8kAS8S8JYydCvOjI5SsCNlAmkEWeJ/zGqlOnqBVR7QdznoP0ZD99JIlQP2dLoyfkv4CA4UV\n+hn2LRDxFKhKISKFOoau8nbmEOMfW4B/cfvvvPD/Ptb2ezPmqSwu8vIvG7zV3ofiex/tT72fT3/g\neSbP/TsOfrPDyusGV/juiTHdrVHhjr7bnXbj0hmuUsRVfrjZtttQysNWIbF/r0T4t/z8wR89xufF\nX0H7nZcx/rhM+8tt9PJ57mbXfzzibwRsx3GKgiD8J2CJLarqBcdxvi0IQtpxHHdC0waQ/l7HUDAw\nRYmW14NKmwzr2/pgB802OMAlUtI6Pdo6XxOfwRAVwlQoEiOvxIhFcni0JpJgEhKqmB6BjiIxJdzC\nEkWuC7u41NpHy6fS37+Iqck0CKILGn3eFbyyjuiFW4O7KedjtL+moR/2QdqmbWiYqkxHVikKMWIU\naQh+TgsPUPFFKCYjDCuLeNUWmtwmWqqhbJr4ijoH167QSShoqTZSrI05KsOzILwBpMBKgpiFYKvB\nZH2BnC9DUYngEVv4PU28hRLve/ktro3s4ptDT3NF3EVK2CAjZ0mxuZXBWh4+Xf0SJTnKW74T1DYj\nHDIvENtZYiE4xCyjmMiotBFwqNJknl6kiEXrhI/1eoaOqLCj5ybVQAAJm4c4SRuNFl6KxIhQ3pJF\n4qALHnTFQycpMi8N8ad8mmPqadqoNPDTw9q2rnrLTRmlxBQ3eQmVk+WHqV8IcXtwB71jK/jVBnrL\nx1JzjI5PY51FCiQIyA0QoYWPeXGETeIEqLOTGzTxc43dHOcUE9UZxhaX6A+vY0cV1v1pSv44imbQ\no60hJX6wXiJ/H2v7vRkGtgGtPLSQwbLgtWneXIJb6zu4sdhHNZohP7SDnsdW2Dl0nWO8RehsE/ui\nQeEWrJhbpU0Pdxtb3MKiDESBMQV8u8HZL1M74ON1jnNjcTebrwwQWbxJcCGL9hsit65CRZiGuglN\nEWquL/LHL74fJTIG/A9s3fAqwJ8LgvDZ7m0cx3EEQfie2pnV/+PLOF86g4OIvjOAsavOTTqETBXB\n8DCrXsbnNPCaN0FpUZTSXOYGVcIUELH5Y+bNOmXKxKUCm0JhW+XxIhukWLH7mdcv4JcbJNQ8BeK0\n8GKfvIQmzKE0O7TKXmz9MsZaDOOWQOvhFtpQE4+t01IXmJZzLKOTQsTA4jy3maPCdVtiwrLxYyHa\nItSjeIs63nIT01qBIDhJgbVwCkEJEe3YXL3aAGzsBIjz0EagNCez4lnFVNYps8rVQgNPrkNnY5bn\nhiY4NaASls5hCvN4zDk65RybWpJ1X4Zg7RZZuYfLXoeNQg8Lks5SPMXquTwlLJp4EHEQsSm/uc4L\nmJzDJo3KCj5aeBmfjlKgTpUr9LGKuU3RbJJklSLzFLGo0EGlQYAq36BElJdps0IblTrrvIXDEiIO\nG+TRaAN5wsyTfzPEZukqpUtJgoNl4iObJKwCm7UOG+11WrESqEsUsUihogItPFxFp9jREZoSw1oA\nU5GZlkuUqDBaK6GtmIT9NfSwxtWgRv5mlfy1Aj6ziS2J32vJ/a3iB1/bp7ijREhuv35YsfzDO1UT\nOPkG104CiLyKBmEPgimRbGgsVn3kiRBoaTiGQcmBLBI1JDxo2EjYiNvyPBsbC4k2MSzSjoXfAKcl\n06h6OYef2w2VnCHj2BoseeD/toAZ4I9+eH/zXfHDutab26+/Ob4fJXIEOOk4TgFAEIQvAyeAdUEQ\nMo7jrAuC0APkvtcBHv8fdzPymaMsMcQGaWaReJD/QtCpMeeMYQoDjBhX+JnGbc76H6Cj7mCMrSb1\nBQbwizrFfArDqLM39Vc8Jr3CDoq00HmVERznOH0OyFg44jgyfagYtFjm2GcGWXhjnFe++CTNqA+E\nLWGQtdum7303+Ejyq0yKdRRB4Ta7iWzXxgWGybDO3nae92/UCUk1cr4kX/B+mrS9yAnzra0+IBKI\nis2y/EFMQSHSucGeC9/hZ3pKOKNbWcX5xA5++xP/hEn1FnuFK+zBJHrVxiz6mJkc4jXho6ji+/h4\n9Avsli2GNgR2/H4da6jB0jMdXrSeYUyweUyc54yRZF44ypzyBEMsspMSIhYzTLBJgiohRj6TYIpb\nJIkQYII1ejE5hgcPKiIRNhhkiQB13mYfQWpMbXPaBgobpAiToY2HJDlGkbFQmSHFAJ1tF2WFEFU0\n2lj0MYeHxMf2c3buBGPJqwzG5jlbOI6idpgMFqgrfiLCNIPEGWYejQ5lIlzgkyxN76P5epj5nTr+\n4SqhngL9qCSsUW7qOzlR+RpBp86FzM/ytPQGj5deIXO+xeZglIGv/UBjeH/AtX0cts1C/3Xiv9a5\nd0NDxZl3KJciXNP2ssQwUs2ChoNpQ5sQFhlEduKQZKuOC9DAYROBGyiso1pVpAVwNgWssyI1QjR1\nH07FhnYPEOcOw/3jdq3/3V/77vcD7JvAvxUEwVXoPAGcZqsV7j8C/v32169+rwPcru6g7uwjZyQJ\nixV2c5Ox9QU0tY2e8uChRVLKUfX6eUh6gyQbdFApL8bRrSDDI4uMeRcIqjU8QptT9nFuOZO8X3qF\nJJv0COusCT3kSNJBI7U93zxHlj00SPUVEJ6Am/4dZOt91CbCHBo/zft5iWfmv0FMK1L0R1iL9FIR\nQ1hIxCmwu36DPa3r4LcoyiFyagxUG1k0MJC5zk6SpQIHVy7xiHmKVkQjkKlS6TdZPxRnNdrHqLZE\nyrPJ49bLqHYbTdIxkWmnZAg5hGNlHrVeJmltkBY3mGOUBTW/2L8AACAASURBVO8Iw3vXaPWqzAmj\n5OQk/awwxixBtcYqfazSB0CBODOMsVIexnRkZMckQR7LUPha9ZP4fHUC3q3WZCvZQfL1FGODt5E1\nkxBVZpxxGrUgtxq7OR47SVQr4CAywDIdVERsYhTw0yBEDY0tO79bcDSRaeIjxgp7tDfoDGjoLR/L\nuSGGvP8fe28eJOl93vd9fu/V933O9NzXzszuzu7sgQUWAInTEAiRjEhJtClasiQ7SUWJ5VQqZaXs\nVFIppSpWnDgp20psJZFIStRJUSApgsRJLoAF9r7nvo+e6enp++73yh892lJkyYptDQAK86nqmuq3\np96n++1vPe/bv/d5vs8qhkeiram4qaOiUzF8fG/7JZyOJrHkbmd0mT/D7GgMLdHA8tg06VSbyLKJ\n8Ji83HoJl9HkOA9o4OJ95wVO9M2xHeqC/7C56f/B2v54YoPRAqNFu/Ynw3R9f+Z/nAd/c3SWLv7k\nJlCbTpsNgBtsuXO0a/yp02L94HHEn8dftoZ9RwjxFeA6naWom8C/BnzA7wkhfp6D0qe/aB8rjSHS\n5lmcRpMReYnHxbv0ltJILgMzDhFyOOUGu3KEYZawgXfsJ5AKEG9nmeyfYcCzipMWabpZ0I+xZg3S\nJ21iCZko+wfldZ3JJz1s08smhpXHVXGQSmzh+lyNFjL1uhMrLzManmO6eYPT+3dpuzV0oZIIZkjT\n1bE8xaarscdwY41sV4BVtZ91BnDRwEmTKl6WGcZRN+hPbzNQ3KaeclBKuFlKtSieC7Mm9RBXsiT1\nDC8a32NRHaIgB9gliR3bI2B3Jpo/a77BFPdYYYAFRtnxdPPCE2+yp0Z5336UTKOLoFyi4XARJvdw\npmWeMDU87NBNteHHbdU7vi24yBgJXq2+yAn1NhPKfURJsL3Sz0p5GCIWiqrjF2UWjVG28gOoezaS\nx2DC8YAo+zjpnFiKBLGQCFEgSQbDUMkSY0vpoUSANhpNHAi26La36Ta3ma2doGZ4eSn6MjvOBLNM\n4KOCgkHRDHE/P4XiMRhKzuOlSsS/jzzaxhfI43I2aKGxRergZJHnDcczWJLCf2b8KguMcsd1muao\n86C65Qf/3sL/q9D2EX8RfzKy9y//iX/Evxt/aR22bdu/AvzKn9mcp3NF8peS9O9Qaxk8rb3FKeUO\nLho8GBpDSDYGMhv0oaBTxct9TnDXOsUtY5rJ0RnOiFs8olx52F6to/LjxjfwGHX+tfqzaKJNHxuc\n5B4TzKCjEmMfP2WEAV++/XOYXonJ6btU8OJ1lgnHczxQJnBrFU6cuM+cNE5F8TIkVuhnnUVG+S2+\nyElljgvqNXShcptp3uZJetlEwiJPmAwJ+sMb6KOg3AFnvY1aNnE1TLqbezhdDcLvlagZbla/kGJX\nSbBLgjwRnjTeJmQVqGoefJt1gvlVIlP7mG6ZGWmSRe8AS2KYB+3jzC+fZNkzxu5Q4iA52nip8SKv\n8CKvEKJALhpBtzVWxS43+HGW1WHsoM66o4fMfozq90JU2kFaEY2Z4iSmQ9DlTFOqBdALGlYW7gyd\nQqGNlyrLB4ZPFXz4KeOlxjhz+MpNInYJMyzxmnieO5w6aKips5l/lvtvnCYxusuZk9c4od3FYoqF\nA7+RAiFyWoTHj/2AohTkHifQLZVSOUx71cv+QAJ3pIJTa7LEKBmSxNlDdlnUhJv/cf+/R/G3CPn2\nsZA4zv1/D7n/1Wr7iCM+aA6901HV2nQraVLyNg7RYo84aVdX58agLbNUOIYmtRkNzlIgjCraTEl3\nGfEu4hNl5jn2cDr4HOO0FScRKY8QNkGKDzv+WjjQ0UjT3dm3tEVPYhPDIeGlyuNcRkgWimZynbPU\nJA+r3n426KGBC40Wx2pLDJibWF6ZDVeKG+ppFqUhssTobW9yYe8Gthu2wl0YKNga6CEZY1TinjXF\nG83nWJMu01IGyBHksZFruKwGM8oxFsQoOirjzFGT3KQbKWKbeSTDohFzkpPDeKmSbGd4bfsFsp4Y\nZkSmN7RO0rGDjwp1XIQoMMEcW/Qc2LEOYKvgpo6LBl4KeJs1rG2VghWDHYnGTQ+2LEHEprYdoPqo\nn/p4Gf19F36pTLCnQHErwk6zh+GeZYoEcVNnnDkGWcFDjTJ+bIdCyfazTxQvVQLlMrMrJ3GVPLhc\ndSaH7tObWGfMOYefMie5S4gCecJkiVETbsLuHCYSkmWRL8Rot53EEhkG3EsEpCIWgixx8u0ouWqS\nsDtLVM2iePbYzPSyuj1Co9eN7Py3zeg+4oi/nhx6wjZlmaRjBxuJjJGkaIZYU/upS25sS7BYmcQp\nNzCCEpreJso+g+otXDQpEWCGSUxbpoKPRTHKA+U4QbvIeXGNYZaJkKN2YPNZIsA+0c5Vn/KAC2M3\n0FFo4+A4D/BSpYT/YMqhxj5RDBRMZPaIM9JcJ6SX6fNsUnZ6uc5pFhml29rhkeZ1Ht+6ylx0jPnw\nCA6aIMG+M0JpOMDrjaf4P8r/CUHZZFl7ilUGKZwLM8QKe1KcW0zjp8KP8Q0Kcog1Y5C+jQy1AQc7\nQ1G2SeFsNYkXstzYuEAzqTKamGW8Z46onsNVb2A4ZPrkDabsO3y18tPcFtM0fE481Ijbe7QMF0PW\nHvWqj7uz52kY7s7a4CadZcSSgLJMK+Sm3uXBMafTO7LByPA8l69+gpIVYq+n04nYwxYXuEI/axiW\nwn3zJH5XmbLkY5YJghTpq23y5oIPV7EzYHfswjxRsU+IAmX89LPOae7wDk/gNapgQFTkaMsOwiJP\ntRJCKFWSQ5uc4waBg+RuIlMyQuyVuwipOXqdGxwPPuAHK89xde8Cm9FeQo78YUv3iCM+chx6wm6j\n0cDFNc5TKETJZeOE+vfo9WzQJ20QTJSQhE3EznJ193FmUMn1hBkQa4TJc4o7XLI+wabdy4Q8y3Jr\nmJwRIeuOkZAydLFDim32iaJg4KZODQ+7dHWuyA/iq+jU8PA+j/If8Q1GWaSF8+GabZJd1v0D7Nsx\nfkz6Q+q4MZF5hjcZbG3SV9/Gp9Yoqz6yREmRpiUcfFN8hjcbz+CgxT+I/q/cVmaJEqFEgFeaLzLJ\nDF9y/yYb9GGgPFwDbzldmD0yWX+ULDEGWSGyUqa0EeLcxPtsRHuQ6DTQ3Muc4sHaKcaP36Ma8rFs\njvD2959BVxSmPnWTbVI8aJ0gW87SbIxhNwTWlgQBOjfoo3TaQuJAEDKBbtpZB8dfustLnu/wWPsK\n6pTBrHOcu0zxeb6Ogxbf4wU+yx+RaXXzT/L/iNOh6wTdHevUJLuUQ37Ux+pk5pN8//5zpE6u0+Pc\nJECJHBGmucUEMywzxERhkU/tvIqq6VwOX2Aj1stU8h6aaGGgECGHjkIDFwKboDNPIFlkVJ2nix1M\nZM6OXaFvcJVF7zDd8g//9JAjjvh35dATdqBd5mneYp8Y14zH2KmncJg1mjioml7yS1GcaoPkWJoK\nHpq4aKN13Nv0KNV6gKU74+SWIqgVC+eFFs7TGfKiY3DfxMltTuGmToQcS4x0KhgshbnCceqyC9Xf\nREVHwkLBoErHyjNLHD9l3NTJEWFXTVLGj4sG21YKA4VPSj/ASwWXWmct0cOSd5g94vSwTQMXc2Kc\niuwjLu0xps2TkzYZZIY03WTlGAYKG/Q99EYp40dHQ7V0aIJtSsi2RcTMI7uhlVDpjaxjuy3quEnT\nxbYzRSnspagGaKJRFn4qCQ9OuUkdN7l6jJ1SL+VqlPn5SbQdHXNf6dw+89D52wXusRpDPYvk7zbI\nX4e9L/i4I09j7DmJDmcJuWPM6hPcMM7SL2+QUDO8W/0E8+0JtpwpfHKBJC5kTEoEKGs+nIk6ZVmh\nVvcROnD4S9vd7OkxQnKebjmNhYymtfD6y2hKC4fWBAEx5x4BirRxUMbP7kE7fh03XqlCwrmHDazY\ng5iWgt9TRhU6nofzuo844uPFoSfsUKPE81xnlyQFYlwVFzGRO0nTkHhwa4qAu0RidAfJa+AQNTRa\n7FkJdlsplkrHaLzpRf+2yv5WknP/3fv0XlhhSYxQpOND8R3rJSaNGc5aN1jRhvBKVXx2ha1CjIIW\nIOjPskY/PWwzzS226GGWCcr4SZBBxiRDgiS7aLS5xRnmzTEky6JX26RP2cDlqXEjNMUDaZw8ERy0\nsJBo4uSseoNusUMLB16qjJqL5PQoBTVIXXZzm9N8hm/SzzoLjNLCgd+o0qg4kQMmPquCu9Vgp6uL\ntf4e4mSwEGzRwxJTtKMaQ5EF2rpKvhEmZ0eInMuhSDorxhA7e72U90JQktia6e8sg5gC1d1GCRpI\ncYv2gAPfeJnHBt5h9tUyO3+YYPGR51kNn+KtfI6f6PkaUdc+pbaf77Z+hOeV1/gF6Vf5lfI/4oY4\nQ6x7GxkdGYMudqjhoS05cGgtZMXCqTQZMNZZNftZF/3UdTdFO0RV9uKgRS3gYj4wRIwseTtAyQpS\nFj6covnwBLBDF5v04aNCiAJR9pmvH2PL7MHSJPxKmbCcJ2bt035YKnbEER8fDj1hr2SH+DXOIGGx\n0B7FrgqaphONNr3KNovHTrInx7ncvkjEnUNIcNueplIM4TOrPBf9Lnf6z7L8+BgMCFbPD1Jse5E1\nk1kxzqI5wmptsOMOtz/N0Ol5Hgu+S1G6wk8mf4U56RhLDDFIZ4lFo43Axk2dAdYO7JL8CGwGWaWP\nDVJsU9Z9rOkDlBU/20qKuuxmQYyxTxQVnT426LfWeF5/HW+pyYI6yqXQRQw2CebK/OTCN/jdY59H\njylc5DJu6lTx4qfC+zxK2puidDxAr3OdbmsHrW6z40qxpI1wnmvImMxzDCdNJpnhtHGbr838DKt7\nY1iGxMSZOSyfxLXsRZo/cMGGgHWQntIRJyzMisZw9wIDgWXcY3UeVE9RNgK47AbasRGcL5xmYmSN\n4eQlevVNHP4mDdlJwFniCe0dXmy/yonSAn/b/xtMaHdZZJiz3OQYnSWKVQa5Zp9n1p7AlCT27Rjf\n2vgcSlcTd7hGr3MTWRgs0jmx7h/cIH2St1lsjXKzNs2+L4xXqyKAaW499DIfZhnDVnjPfozM91Ok\nCml+/jP/ijvaFBXTz99t/Abftl48bOkeccRHjkNP2GWnj+vmOeyKQracxG5JVPcC7JHE4W0h+gwi\nIkuftMGoskhLOLhpnyGsrNErb3LWdYXRgVU2HAPMnx5FSrRRpebDmYVCQEAuYbo0Wj4NTW53fAuE\nStKdRqVFnEzHuxqZiu1j/eYgmq1z4cxlhGSjYNBNmkFWSbILQI+0xZ4SZ1ZM0McGfWwwZi5Qk7yk\nRRdJY5eRwhrOXIu2z0HalUTYNs5WG113ctc7wq6aoH7g2dHTSBMxCwQdJUo7YeZak0wMzNJSVbJm\nHF1zUZL9yJjkCdPCgZtObXWMLD1sYaJQLQWQt032+hO4nTW6HNv4k2VMVWY9v4/eqmNXIDKyTSS4\nh2walNMB3GqVUCBHRM4yOOmh7t8jntzFFywh08ZLhRRpavIsA/I6uq3ynnEB3Smj0SZb7MLh1nFo\nnXr4LDEsITFgr1Eq1qkuy5TP+3hcv8NE9QEb7hR1ycO8Pk5xN0yj7UZT25hxmXV9kHwjjsvdRMYi\nSaeJJtneY6S6xmx2nC2pH3tQIAVMFEnHpdRp5j3k6nHaAY24/Bc21x5xxF9bDj1hS90mFcNPOjNA\ns+RG2BZG2sGunWLfE8YTrzEpPeBZ3iBGlhwRqsLLhH+WAdYIUOT4wCu0Ek5+a/QnEGqnVXWJYbxU\n8UpVop595GETDzUMFOY5RpYteomRIMOjvM8WPWyTImdFuP7GBXxWlcem3sGnVgiJAkOsEGUfxTbw\nmHWGtRX2pSh3meIx433G9XnG7Xk8ao2r8iP42nXkHTCXNPYfD2H6YNhaplnfoyif5n8+/Yt4qeKi\nwQ/4JOOVFXrau7SCEvIctEpeHF1tltVh8nKYQiD4sEzxNqcxkOlihyJBDGSqkhc7CXLWgAWYq4zT\nZ69yoesyfV0b6Ki8Sp5csYyxqnJq+gZNl4PNrT7mL51k7OwMZyauEmMP73iF4HiOfaKU7CBl289F\nLjNsL+OwWyALrmrnWNMG6DG3yVS7uJ69yInkfXRN5hbTNHHipMlJ6R4bmQamXif64g4vSX/MU/lL\n/DPtF1i3+smUkuRmkzSLHiS3iXFBxnCo+I0aLrtJt5XmvHmNsJJnpLnMk5kr/J2bv85tx1mm+68g\nP2Zi2IL3pMe4szhNrhDju+eeY8izfNjSPeKIjxyHnrBTYotx6Tplb4CmpBCwivyi/39D+GzeUS7i\nFg0S7NJGw0LCQqKNxhoD5AnjoMmlxFMUzDBL8hDT3OIUd5jmFsDBTcImQYokyLBJLwKbAgZpuknT\njYPWwxuLi9Io/s8VqDc9/MvC32cqcJs+5zpFAniok6qmubByk3CiSF9ynXd5nMGNdew9lYWJITzO\nGufFNV52fhr3YIP++DqVkAeBTZw9dkwdoduo6IywhITFDJPcDpygbLnZUlOEp7O8oH+bptPBECuc\n4QYByrzPo9zhFCe5xzDLOGlwlUe4wgU2pT7kUJvh07NI/TbJWBq3t/OZVvVBghQZ4ivIJ/coNwKM\na3OU8GN4HMgTJvW4mz3iLDNMgRB5woyxyDP1S8Qref4f82eZbUzSbDrw9BdRfW1sS7CxMQwWnOq+\nxh3pJOt6DwPqGjU81PCwwCiuk5eZeOYuW64Ur8lPs+Qa5IrxCOk7PUgLEhfOX2ZP7WJteYgz7Zuc\n814n4dvnO8oLzOYm+drKcc6MXkX2Wwz1LKP5qnilIiXFT34nTrkeoBgLkHcl0GUHb0rPsGwPAb92\n2PI94oiPFIeesJ2igSlLjPnm8LlLtCUNPCYepcYAazRxoqJjI5gpnKSFxmhokSLBhzW5K4xQJEiY\nHAIbgY2DFvHCPmp9HWeshawZqOgsM0yOCDv2DgHiWEi0bAdmVcUWAo+3ysjIAo22m2wlgSUkTCR8\nVJivTrJWHqFf3iYu7XLOuo4uqfSKLeqyh8vy4zikBj3tLXxrNUy3xF5PlAwJXDRQhU5eC7Gu9JEt\nJwm73iam7lHHxb4jhMkwMiYDsRW8dhXZsAhYJQIU8bbq3FDOkVVjVPCxSwIBqLQReMiJCFHHHr2x\nNXyxjh2phcQ8x5Ax8VMG6iT70/iNEgklQxMHLled0yM3qEhelnfHKJtBWj4N0y/wU8Fn1sk3Y9wx\npmkYLoblBZbywzQ2XDg3m+QbcbxdZWLDafJ65wQaZR8V/cDdL0rbo9FOaliKYFYeZ4sUuqkiayam\nX0ZNtpHR0fbbjCtzHFfv43C38cllHFKThuZhqTmGy9mgy5fG7auQJE2JACE5T1Ap0pQUkKFhu1iu\njFFcjhy2dI844iPHB1CH7eCBdJwX/a+QJc4VLvB7fIEhVjjBfZYYQcJEtXVe3X6RgF3iH/p/mZvS\nNItilDI+cvk47ZaDY32X8Ug10nSzxgDPbl3i1PZ1vI9V2NRSLDHCAmPM2ePs2jpRK4pXVMhbYa7t\nPU6XnOYL3q/ipIVLa+CJ1FhkFActnuBdLu8/xfXGeUJj+zwnXmNIX+GEdp9o1z65WIhXXc+j0uap\n+g/4/PdfppVSud59ik3RS0X4sITEkq/IqudR5ndPonb9DhPqLDGyPOA4TRy8aL+CjopmGow3F8hq\nEWrCy3BpkzH3MrfVNDkizDHOPhFOcJ9udqjjxk+ZxIHb3jmu08KBjwqa2qaNxvdx0hXeRMY8qPf2\nITsNPtv/+7y++iKvL7/IbNMmOLxP0LfP22aMb1ufJi9FkGSJTwe/yZcCv8H/dPe/5eZb57FfAU4L\n1E+2yBIjrmYZYJUweWw6syA91MgXo2yuTRE/vkXBClE2fEy7bxE8V2TjXB/LDFIyIyiTBr2eDeqK\nk7eUp8gTYiCyTCp8iW/sfIFLxWcIOAt4pRqDrPI2T3IxeZkB1ti1u3hv90mK+Sh1PUD9jcBhS/eI\nIz5yHHrCDlIkA1zjPFFyPMHbeOlcXQ+xQhMnNoKgKPJS78ts7A/wT977x7jGKvjiJSLkORO5Rraa\n4MrGEyQj2/QFV+lhi9f7nuLd2KNMu29QIMQ+UY7zAJdo8I5Z5d7dFzAcEgxaSLE2stxig34mmKHf\nXqfP3mBVDLIu+rnBWXL+IPuE+YONv8WlyrMk5B1SYxtIqoWpyExIMwQpEnHkUE/qBAtFpt+8z9rp\nQVaigxSsENezDozsEwS69si7gswxwSa9JNnhWGmRwaU0VtKmEXWw7uwlL4cRlo2hyRTkEBv0EyPL\nNLcYZol3eIJZa4KK5eO0fBtddAyYLvEkTpr4KdPEiYSFjwo9bGMhATa9bOKgxX1O0IqrjHnv4zSb\nlB1eCuthjK86adcceAZaPP3cGwz75pmRJ3ENVUh6N6id8lL/shf9HYXKp318RnyTURY7XZkHzUYG\nCtpMm+KqRu7nurg4+APO+K6jCxUDhVF7kav6I9R33BjzTv6V/z/F46ygKwqf5tuEybMlUiRCadYr\ng3xr8fM81vU2ql/HQmKdfuLNfb6U+11qdogZ/SR8XSASBn+hCfsRR/w15dATdh+b9HOVe5ykToNh\nlghTIEIOB00atqtjOSoceAIVNL3J3k4cqRIm6Uwz6FvF6WpiI9irJMgYCSRdZ0xZYCUwxF4gTjdb\n1PBQIkCYPE6aWLZEut1No+ZCk5p0pbbQPC22SR14btRIsY2Tzr5XDiaZ13GzaI+yJ+LkRBgwccmd\nao2TzKHRxlIlMkMxkmmL8H6BXrYoEGSDPqp4aRsBqMOMfZyaw4vT0aDH3qbX2iRPiAAFWkLjkvIk\nulBIVXYx7s3Tk9zm9NBdKooHVbRx0MJJi24rjceoMSnNEK9mceTaVOMeNLdOjCxVvJTx00ajf3sD\n1TDI9YQoVYJk9C62w120PRpRT4YxFpitTbJV7sfYd2LnJFTLhDRUgz7KUR96QEb26BCz4VUwGhqV\nG0HkIQtXuIFGm5Sxg0abgFJizVGny3WL2cwJ9LADyWvhpoZ60HkaI0td81H2hVhQRpExcFM7MLKq\n4rRbSDWLes3Fvh1HxiRCliQ7CGxquDGQCfoKJEI75OQ4R04iR3wcOfSEfYL7PMsuv8w/7nQT0oVN\nZ1pInjB37SkAomKfBcYQEfj0xT/kOwufZWejl9D4q9QVN5qryZODb3K9fo69epy4d4+iHCRLjDJ+\nGrio4aGOmzV7gIIE+rCEuSRov+ch+EwZp7fJDl2sMMSCGKUtNNx0Jn+v00+97Ie6hHuwwKR2mwlp\nFp+oMMkMwyzTwMUOXWSUODfiU/TH1+i315kQDwCLhuSiN7aG4Vvjyt3HebPrBaYSt/jb0d9gzFxA\n87Z4bfpZToj7NISLr/DTRNnnk3uXaH/5PV567LucSd7my94vclue4hqPcIo7fNZ+mU9al2jZDtS0\nhedyi/1n/FT63Qcp3cESI6TpZuTaEsnSLr/7E5/j3fWnuFecwnc+h8tdx0eFC1yh0fTzvvwU/Biw\nBLU1L9+5+VlGxSwnn7hJzoyQr0Wp5/3wKQFzAv3/1Lj29y7ABZsRlrjQuk7cyrLk7ad+sUryOYv/\n4f1f5t39x1kN9fKS99s45BZV4eO49oDAeInVY4O4RZ2mcFLH3bErIETALlGYjdEQXpIX10lJG/Sy\nSRUfNTxUnR7+r+6fQcLmVPAGl31PUf3Gn/VgPuKIv/4cesLeJEUDwWlucyV9kWvpi4yMzTHlv02K\nbRwHnW4JMswyQVM4sYTgya63qNtu7spTLGfHUHWDH028TNERZFPtZUkaYTZ/gru502TavWiRBnay\nM5SzR2zxuPUO8wsvsNnsxXW2zIXge8TZY4ExigQZYI2T3CNNNzkibNDHaHSW7vIW19cusBnrxxlt\ncpJ73OEUl7mImzpT5l2eNr9PSfFhS4IVMcQbPEeabmwEBRGmKUdBE6QCmwz4VvCJChXJRwUfbUnD\nRiBhoaITIo8rUefqz0/TijnZc8WoSF6S7Ha6Agnzmvw898UJxqU5Isk88pMW+5EI2wdr+Y/zLgOs\n8SgLuM44WG33sa9FqftdnVFask1Dd1IyAzQcLh73XmIwtcxWtIeVnmFWykPkzRDNuEpNeBmRlxj2\nrKDLGvflk9RCHiKn8ihDbZo4aeLkuuM0BTPE280nmK/cJtF4nslTd9j0pMgrIS41PskxbY5ebYt1\n+pGFwaSYIUOcYZY4wQNuc5qrPELILJD/XhhdUqg96uVV628QFfuoskEVLz4qnBdXqeBHdhiMdd1n\nY3joYzQr+4gjOhx+4wwB2rSIkkVK26xdHcYOWwy7FumT1+kRWwgBXexwovaAFg5Snm0SgQxl/Fzm\nIqqlo5ombVvrtCfTMSBKZ1NsL/SzrffjiZbxNYo4uuqE9QJq3kLsS+CWUCI6x7R5hlnGQxVdd5Bg\nD7daZ6+RZNUepugK0uvdwEWDYKGAbmkPq1T+ZH18iBUCdpmQnWeZISp4sZHYJkUDF1Frn1rOQyPn\nJRLbYziwSL9zDRWdluRAwSBGFjd1ZEwGWUVqwYY8QOMxF4ak0MSJlwoBiuiozHOMHamLRWmUDAni\ngQzeQI1As0yhFeam4wyTPKCfdQJUSPdNscgoJfyogRY+VxFJtlAsA6fdABsmHA941HGZeY7xhu85\n0v4ko8oeIWceB00cUgu3VsOt1qnJThpxN/2edfpZx0ONbVIsK8OstQd4ffd5KgVBvDrNc2PfwauU\n2DJSlPQAqm0QJ8MWKdotD1Jb4HI3GZUXeZY32KKHdfoxUBGahV8qMcQKNTxs2n0Px5B5DooIBTYh\nuYDPW8R9rHLY0j3iiI8ch56w/6QVvEyA+o4b/ZrK6okhmkE3x70znFVu0BIOuuwdHt+9ioMWuaEA\nXlGhgpcAJXZjt9igl/elC3ipkjgYI2bsqHAfcEB90YdxW6Xr8xvcLpwhO1/GnOzHcsgY225CrjLH\nnHMk2KWnlqVme7gRnOIPsz/JA/04IwMPWJaHsTwydKGpEQAAEk1JREFU4+P3KIkAAhsTmRTbnOQe\nz/AmsmJyV57it8XfBGCKezzKe3iooRsa37s/hogITnzhJhPSDN2kMZGRMImSpYs0Gm3KBHiaN/mD\nwhd5u/YMn+v5HSYcM8TIIrDJE354c89DjTYal/gEHmpM2LP83fxX6BG7XO06Bwh26GKGXjb4EbLE\n0GiTCKURlskOSRJKhmPqPH5RJkCRbjpud+/tPkllLcJPnP59Yq4MabqZYZIabsbEIqfcd/FSZYgV\nBlklQ4Lf5QvYCIqVMM17fux9BVG1USyDafkmF6T3WdGGGGWRUZao4+Ht0lPcy57hE/2v0+vdIs4e\nj/EeoyyiKjpr/0U/CgY/rXyFNfpZZphlRhhnjm7S3OUUiYOO1SwxjPHDVu4RR3z0OPSEPc8xvqKf\nZ3F7klVtGB4D06dw3z7Bl+WfISfC1PDyNTFMNJonQp6gyFEkSBk/NTz0SRv0sckG/Qft4zusMEzf\n6CrCZ1KTPRRqEdq6RpdnG7ezgWd4mcTx71NW/eSI8tuVL7JgjPFI7D3WXMPkCbMuemmGFNxWGVuS\nKOaiSG2b0/FbKJKOifLQXyRpZuir7yCVbfSWG6tLwXDJD2ug80S4Il2gnCrTGnGz3u4jouWoGT42\nSwM86fs+j9vvcDZzB81sEzAaePSr3PWdYzE6zKIySoR9wuTZJcmd2hnuNE5DwGRYXeI812jgooyf\nPGF+Tfk5TCHjpMWr5t/AT5kWr1Mnzj5RUmwzJe7SljW+Z79AAxebopcbnGWJEWJGlucLb5FUMmgj\ndVpulS57hynzLoYsUxIBXDRwicbBRCAPNzhLhgRNnJjIOHxNLpy8TGZ1hu7BKEU1SBQvXpEhQJk2\nDlYZZJYJtumhZnuYt48RsnNookWcLEOsoAgD1d+ZOqTRpkSQBm562GK5PMat1nkqmovnXK/Tp20Q\nJ0vddh+2dI844iPHoSfs7VoPJfMMK9Vj1Hx+pJMW/mCJnBrlj+VPESdLDTcrDHV+6tdKRNfybCsp\nJLfFsdAs4UoBv1lhOTDMeGuehJFh2TOCJ1WmJ7VGlhh6TcZoqIx75vCoVVo9uwz1LlLBh8cqc2P7\nHIV2iARpth0p2rZGyCjR51lHkgyaOEEXqG0dYQtUdJy0CFAiQYZuO423UUeq2UTaeQasdQoHcw33\nSJAjQl124+3axj2cp2Z5ydhxMpbMbHuKgFUgbmcYbG7j0yu4Wg2GC+ukvFtogQab9NBPFym2qOCj\navqot71g6fioMMVdBDbbpLjLFO84n8AUMqe4wya9NGwXXpooFJENi2P1RSYdD6g5XLwvHqWMnyYu\nqng7yxC2wmh7HYenwVBogZZwUNDD+FpVPK46FcnHrpmkV95Ek1oUCDHbOEHa7KYta4S1HN3ubYaG\nVrgff0B/srPfPTuOjcAnKrTR2DmwTHVoTca9s+yJIJtWLwU5RA9b+KhgIxiSV9ii52Enpm6rOKwW\ny2tjrO0PIqJtzqZu0hvZRLF1euxt1g5bvEcc8RHj0BO2taUwqi6S6UrQ0FyoFZvjoXuo3iZZouQJ\nA6BidKbHbPl55VtPovtVTo3c5Lkn3+Dc0m1EFbYeSTG5u4BW1lk7NkjZ6UOjTQ0vqrtNt3Obi9K7\nFAnxDh52SRCiwHnpGrUuDwiTNN1U8DFqLPNTtd/jTfeTvKE9xTs8SSq2gceuMScfQ0UnQYYcEbZJ\nIds2UbtCO6pQ9Tr4lPptZpjkDlNc5iJjzPNz4v/mt10SjlCMB+I4NeFFyDbHkvdoyB1Tq9aIg5S9\nzWB1namVWXDQMaXCxx5xckSJs8ePel/mWc+rvCU9RYIMIQrsE8VFg+PiAYZXpkTnKvhp+S162WSR\ndY7zGs5am4uL1zB64HbyBF6qaLQZYI2neYtrnOeS8gl+PfklhsQyn5G+ySY9/FHrx1goTDKtXKMm\nXNyunuZL/t+kR9uiio+lzDGWq2PYXvhs9Ot8wnuJCWYxKTKJgoTJTessc9Y4P6X8FnkR6kxAx+AZ\n/2s84rnGPzf+c/rMDV6QX2WREVYZooqXBcZYZpgVhjjFHTxWjcvtixTeicM9CXvKwf4nEqyEh1iz\nB/mC8ju8c9jiPeKIjxiHnrDz16I8+MY01VoIy6lgBGw28oNEezKExwqszw+hKyr+sQIVfFRkP1WX\nD1sItsxeXrY+y5WuxzCLCnNrE+xqKbqSaSSlU1nio4JGmx2RJC/CvFz9HIqsI/Euz5uv0RYad6VT\nDCnLD6e9uKgTqeQILpUoDwXY9PSzt9fNaHiZSd99mji5uzvNUm2cRO8eVc3DmjzALe8ZUsoWCS2N\nik4DJ6uNIda+O0zN78PxbIs96T4JSSVEgU2jlxhZPqV8h0v7T3PXmMaOw6bUw6p3kGxfjLwnSIws\nDVysNoaotAN80vt9wnKOct3P2pUR2iEX/afX0NEIUGScWSxJcI8pbnMaFw0GWMdFAx0Fw6EiunVk\nL7ho0EWa+cYEi/oxRjzLOOQWY2IBh9zCQkbBYII5nI42IijQVQWNNmfdNynLftYYoIUDO2CRcq1z\n1nEdt1YlTTfjzLLcGOFe+kvsthPUAi6c/joPOE6OCCvVYQrvxZDjgvopN71ik5jIMsc4OyQxUfBR\noYWGis40t8nuJrAMmcdi77F4YZz8YIRYPEs4nsUQMsrB9KAjjvi4cegJu7q5wcZKP3pDRUrYmG7B\n5nI/wraIjWQwcyoN1YPUMrAVgeWViY/s0rIdNENOLovHCCRLmB6FtcVR8v4g/aEVamUvLmcTl7tB\nLxsYyBTtENfa5xlUV1Af3OWiVWZL6uE65+lhCy81LCS62abL2MGsSpR0PwUjTKPiwXBoKJpJTMvS\nLjrZyfegd6lktRh5Kcy+O8ZYe5Hpyi0kt0FWjlHWA7SWXKy6R8iNRqi/M4PxVC9yl45lSYQo8AhX\nmWucJKN30bBdnat2LYUVF1RxE6SIwGbL7GWz3UfczBCXMlRbPpZvjlHsCxE/nSbOHl4qOOmUQhoo\nlPGxXhggbBdYePAOGglQBE2/RktzULIC2G2JQilKsR3kgXOdoFwgRhYPNWRMigQ5yw0SWoaI1qmH\nVzDoV9bJEyZPmAJBDEXCbxcZlReYaU9y1zpFj2OT6w901p74UayaRMzaJabvcqNyjmqg44FSXomy\nb0bZPN7Ni/IrRMU+uyRpo6GhI2NSb3oBQb9zjXI9jGbWeEr5AdrZNtukGGOBKFnaOIiIPGmr+7Cl\n+5eQ/RjG/rjF/bBj/5scfpVIzy0GfnaBfTNKzfLSqjswW06qLi/bShfeswXsOuxlevCGi/SG13j0\n8ffZJUFLduJXS1wQVxBem9+a/BJpO8lGrofGzQD+oQI9E2uc5Tr9bOCSmshBkyett3ll5iqWPIEt\n4CKXyRPGR4UxFhixloiG9ilfcBJ17DEsLZAdiXKjcI472WnCyQy77h6CRoVHpffJEGObHtbtfmYy\nU3xv99McH7+Fy1+jz7uO+2fr7NzrYevLQxivFGlMnsX1H5fpkneISVnK+Hki+RZT9g0kyeIKF6jg\nI0iBAqEDEyUPbncd1aHzlvEU3SJNTOzT0hxklAR3OM3TvEWREJf4JK/zHAYyP8q3ef3Kp9gx+qjM\nfB0vQ8Rr+/iWWyymjnHJ/zSXdp9nr5hAk5qsx/rZoBcnTT7NtygRYIUhhlmmn3W6STPKAjrawy7F\nW0zzT/mvyC51o+ecbAcHackOXP4q+/0Rdld+BWeiTLPiopAOU34vhPS+jfpUA+lTbexnTdqyTK3s\nAR/E1T1GWaCNxgb93LKnub97unNy6A/x+Z4/ZIq7WLIgQxwPNcaYJ8EebTRyRJjVP+wykY9jEvm4\nxf2wY/+bHHrCNioqhXQUvU/FMiSspgoIak0fO9t9SBmL1rILfV7D/LxEanybz0u/T1EO0RQdz+Wx\nq0tkKl2oF9vUTB+yYTHZdx8prBNmn/NcY4du6sLNCfk+LqnBHgm+1v4pIlKOM9pNKvhYp58N+vCK\nKpJisaYOkCWGjwqTzgf0q2n0ipNv33sR2Wvi8Nf47uxL2AkoJ/1U2l56XZucT95gUr2Hw25SkgKs\nRge56ZNZq45CWaF6P0CrpPGo/wonHfeIs8fNxfPcmZnGXJRZj/bTHNaQz5hEvVn6lXVU2p2mGiHR\nEg5qOR8PMlPoJySm/Xf4yczvEwjmsB02MiF0VJo4sJBRB1rsN2Lk2iluNc+QcOzx1fgX2XR3s6QM\n4w5UcKb9NJbdrF8fxk4JwiM56BEcL8xyfHce90iFms9DFS8qBh7qOGjxdv0TLIhRJl0zrMdb7Di7\nKUghzJKKqFq0bCcJe4+/wz9lK9DFPONsKANYTgl9RKYlVLAkrA0FveyietGHphoMZLfYTnXR8jjY\nJ0rUn0FgsifimJpEyCgQLRe57jzPVq2X7ft9TPffING3i4xJSC4ctnSPOOIjx+En7KyDzIMUzlAZ\ny1awShoY0Kq7aG274B5wFXjPRrpgkRjf5Wnz+7SFRlvuzO0L3qxxJ61in5Fomw5Cosz0+DXaqopG\nmzPc5BY2M0xyjHk2RB/bIsUftH+cT8hv84L2PSQs1ulnhkmmxF0AbjHdaTBBZ5hlflx9GbPt4FsP\nPoP7dBk12OKbc58jYW8TT6ZpGxoTvgd8MfZVBq0V2rbGhujDQYtNeRCcQBvMHQWr7KHHlWbUsUCc\nDLPzx/nmNz8HrwDHQHrOYHO4mxdd3+GccgOwOxPDBbiUBneKZ1nZGsN9pshpbvMz2d9k3j1I1hHG\nSQsvVRq4KBDCPV7GrCbIGTGs1gT7gQi7PfGH30EsvENd91CeC5K5lYITIEs27ajGsd1Fjt1d4lby\nBOu+XgqEiJDDSRPFNvjjxktkRZTPub6OnLJox2QqVRdWVUbWDTx2Fdne4xeNf8Hd0Div+H8Eei2M\ns0qn4ageQ5QkmFexNjTqx70IVRBbLpIOdtH0uGgIFz3hdZzUuMsUBYLoukZveQchCVYKQ6xeHkdV\ndNS+zpT1hHI0ceaIjx/Ctg/P80wIcWSodsShYtu2+KBjHun6iA+CP0/bh5qwjzjiiCOO+KtD+rDf\nwBFHHHHEEf//OErYRxxxxBE/JBwl7COOOOKIHxIOLWELIX5ECDEnhFgUQvzDQ4zTK4R4SwjxQAhx\nXwjx9w+2h4UQrwkhFoQQrwohgof4HmQhxC0hxLc+qNhCiKAQ4g+EELNCiBkhxIUP6jMLIf6bg+N9\nTwjxNSGE44M83h82Hxdtfxi6PojzoWj7h0HXh5KwhRAy8C+AHwEmgb8lhJg4jFiADvyXtm0fBx4F\nfuEg1i8Br9m2PQa8cfD8sPhFYAYejhn8IGL/78B3bNueAKaAuQ8irhBiAPh7wBnbtk8CMvA3P4jY\nHwU+Ztr+MHQNH4K2f2h0bdv2X/kDeAz47p96/kvALx1GrD8n9h8Bz9H5khMH25LA3CHF6wFeB54G\nvnWw7VBjAwFg5c/ZfuifGQgD80CITh3/t4DnP6jj/WE/Pi7a/jB0fbDfD0XbPyy6PqwlkRSw+aee\nbx1sO1QOzpLTwBU6Bzlz8FIGSBxS2H8G/NeA9ae2HXbsQSArhPh1IcRNIcSvCSE8H0BcbNvOA/8L\nsAGkgaJt2699ELE/InxctP1h6Bo+JG3/sOj6sBL2B17cLYTwAl8HftG27f/P/Ci7c3r8K39PQogf\nBfZs274F/LkNHIcUWwHOAL9q2/YZoMaf+al2iJ95GPgHwADQDXiFEF/6IGJ/RPhrr+0PUdfwIWn7\nh0XXh5Wwt4HeP/W8l86VyKEghFDpCPqrtm3/0cHmjBAiefB6F3AYvcwXgc8IIVaB3waeEUJ89QOI\nvQVs2fb/287dozQURFEc/99CwUo3IGihrY2FhWCTQldgJdmFoKtwAxb2YvFKEUubCCqihdjZpHEH\nwrGYAV2AM5Mx5wcP8lFc5nFyCfeSaJKfX5JCPq1w5m3gTtKnpC/gijQmqFF7FsxDtlvlGtplu4tc\nl2rY98BGRKxFxCJwCAwlCkVEAOfAq6SzX28NwDg/HpPmf39K0qmkVUnrpAXFraSj0rUlTYGPiNjM\nL42AF9LcreiZSTO9nYhYyvd+RFpM1ag9C/59tlvlOtdule0+cl1qOA4ckIb478BJwTq7pDnbI/CQ\nr33SEuEGeAOugZWSywBgDxj0s8AoWhvYAibAE+nbwHKtMwPHpA/RM3ABLNS+3y2vecp27VznOk2y\n3UOu/V8iZmad8C8dzcw64YZtZtYJN2wzs064YZuZdcIN28ysE27YZmadcMM2M+vEN+KhxEuTIYdI\nAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fc3811b25d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.subplot(121)\n",
"fig.imshow(flux.mean)\n",
"fig2 = plt.subplot(122)\n",
"fig2.imshow(fission.mean)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now let's say we want to look at the distribution of relative errors of our tally bins for flux. First we create a new variable called ``relative_error`` and set it to the ratio of the standard deviation and the mean, being careful not to divide by zero in case some bins were never scored to."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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gcnJy0K7sevPz8zvdBQ3Baj+k88gjj+xAT4Zn3P82xy2+Xq/HwsLCyPY3UEJI8kaWk8En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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fc380839b50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Determine relative error\n",
"relative_error = np.zeros_like(flux.std_dev)\n",
"nonzero = flux.mean > 0\n",
"relative_error[nonzero] = flux.std_dev[nonzero] / flux.mean[nonzero]\n",
"\n",
"# distribution of relative errors\n",
"ret = plt.hist(relative_error[nonzero], bins=50)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Source Sites"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Source sites can be accessed from the ``source`` property. As shown below, the source sites are represented as a numpy array with a structured datatype."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"array([ (1.0, [0.2712169917165897, -0.04844236597355761, -0.1887902218343974], [0.3889598463000694, 0.8470657529949065, 0.36220139158953857], 2.2746035619924734, 0),\n",
" (1.0, [0.080729018085932, 0.19838688738571317, -0.38053428394017363], [-0.6604834049157511, -0.6893239101986768, 0.2976478097673534], 0.7833467555325838, 0),\n",
" (1.0, [0.019430574216787868, 0.06594180627832635, 0.23329810254580194], [-0.7472138923667574, 0.13227244377548197, -0.651287493870243], 1.1632342240714935, 0),\n",
" ...,\n",
" (1.0, [0.18544614514351207, -0.0113070561851496, 0.5468392238881264], [-0.8006491411918817, 0.43855795172388223, -0.4082007786475368], 1.4358240241589555, 0),\n",
" (1.0, [0.18544614514351207, -0.0113070561851496, 0.5468392238881264], [-0.5150076397044656, -0.34922134026850293, 0.7828228321575105], 1.5771133724329802, 0),\n",
" (1.0, [-0.2722999793764598, 0.22680062445008103, 0.2987060438567475], [0.9207818175032396, -0.2884020326181676, 0.26265017063984586], 2.932342523379745, 0)], \n",
" dtype=[('wgt', '<f8'), ('xyz', '<f8', (3,)), ('uvw', '<f8', (3,)), ('E', '<f8'), ('delayed_group', '<i4')])"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sp.source"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If we want, say, only the energies from the source sites, we can simply index the source array with the name of the field:"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"array([ 2.27460356, 0.78334676, 1.16323422, ..., 1.43582402,\n",
" 1.57711337, 2.93234252])"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sp.source['E']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, we can look at things like the energy distribution of source sites. Note that we don't directly use the ``matplotlib.pyplot.hist`` method since our binning is logarithmic."
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1.0\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x7fc380511390>"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7fc3811963d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Create log-spaced energy bins from 1 keV to 100 MeV\n",
"energy_bins = np.logspace(-3,1)\n",
"\n",
"# Calculate pdf for source energies\n",
"probability, bin_edges = np.histogram(sp.source['E'], energy_bins, density=True)\n",
"\n",
"# Make sure integrating the PDF gives us unity\n",
"print(sum(probability*np.diff(energy_bins)))\n",
"\n",
"# Plot source energy PDF\n",
"plt.semilogx(energy_bins[:-1], probability*np.diff(energy_bins), linestyle='steps')\n",
"plt.xlabel('Energy (MeV)')\n",
"plt.ylabel('Probability/MeV')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's also look at the spatial distribution of the sites. To make the plot a little more interesting, we can also include the direction of the particle emitted from the source and color each source by the logarithm of its energy."
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(-0.5, 0.5)"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python2.7/dist-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
" if self._edgecolors == str('face'):\n"
]
},
{
"data": {
"image/png": 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T0BgIG1rgkS7gNEPzYRg5BV5cDg+/DYkaqJwMWWEQIuDIJpRpy9C51Sy97h7qx7eFdu3Q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\nclHkFUihhRAohR0VsOwWkGqg0A3bZEiIYuCmh5lmjmRIv4cvW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UQ9gffLu/CticR/rBt/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CSgttCq5LrehW2AN556pPoN9IfJE6xO+Hwf52Xhv2IE83rMITl0DH1AsYI+7H2D4GtnyIt64Z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\nDQ2NFuT/AMH9R/ORrjlAAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fc38036a3d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.quiver(sp.source['xyz'][:,0], sp.source['xyz'][:,1],\n",
" sp.source['uvw'][:,0], sp.source['uvw'][:,1],\n",
" np.log(sp.source['E']), cmap='jet', scale=20.0)\n",
"plt.colorbar()\n",
"plt.xlim((-0.5,0.5))\n",
"plt.ylim((-0.5,0.5))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 0
}