From dd6d72d5e58e7beb277a44505684b867a7d58040 Mon Sep 17 00:00:00 2001
From: sjcrs <sjcrs@users.noreply.github.com>
Date: Tue, 29 Oct 2024 20:49:29 +0000
Subject: [PATCH] Adding Kobayashi Dogleg model

Removing large files

Fixing Problem_II

New results with modified Problem II
---
 models/Kobayashi_Dogleg/Kobayashi_3ii.ipynb   | 2159 +++++++++++++++++
 .../Kobayashi_Dogleg/StoreBenchmarkData.ipynb |  376 +++
 models/Kobayashi_Dogleg/helpers.py            |    4 +
 models/Kobayashi_Dogleg/mgxs_Problem_II.h5    |  Bin 0 -> 21896 bytes
 models/Kobayashi_Dogleg/openmc_model.py       |  381 +++
 models/Kobayashi_Dogleg/postprocessing.ipynb  |  499 ++++
 .../Kobayashi_Dogleg_benchmark.h5             |  Bin 0 -> 3286048 bytes
 .../results_database/openmc-0-14-1_mgxs.h5    |  Bin 0 -> 1270152 bytes
 models/Kobayashi_Dogleg/run_and_store.py      |  123 +
 src/openmc_fusion_benchmarks/read_results.py  |   10 +
 10 files changed, 3552 insertions(+)
 create mode 100644 models/Kobayashi_Dogleg/Kobayashi_3ii.ipynb
 create mode 100644 models/Kobayashi_Dogleg/StoreBenchmarkData.ipynb
 create mode 100644 models/Kobayashi_Dogleg/helpers.py
 create mode 100644 models/Kobayashi_Dogleg/mgxs_Problem_II.h5
 create mode 100644 models/Kobayashi_Dogleg/openmc_model.py
 create mode 100644 models/Kobayashi_Dogleg/postprocessing.ipynb
 create mode 100644 models/Kobayashi_Dogleg/results_database/Kobayashi_Dogleg_benchmark.h5
 create mode 100644 models/Kobayashi_Dogleg/results_database/openmc-0-14-1_mgxs.h5
 create mode 100644 models/Kobayashi_Dogleg/run_and_store.py

diff --git a/models/Kobayashi_Dogleg/Kobayashi_3ii.ipynb b/models/Kobayashi_Dogleg/Kobayashi_3ii.ipynb
new file mode 100644
index 00000000..ca13e27b
--- /dev/null
+++ b/models/Kobayashi_Dogleg/Kobayashi_3ii.ipynb
@@ -0,0 +1,2159 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "b57723dd-4cf7-45aa-a6bd-71fdcada08df",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import openmc.lib # we run simulations using this\n",
+    "import os\n",
+    "import openmc\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import openmc.mgxs as mgxs\n",
+    "import seaborn as sns\n",
+    "%matplotlib inline\n",
+    "from matplotlib.colors import LogNorm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fce16df5-6967-4ee1-93e3-fb8acba4fabc",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "### Variance Reduction - Weight Windows"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0d245441-d91f-4b11-bbac-33f4a7149812",
+   "metadata": {},
+   "source": [
+    "Simulates the Kobayashi Dog Leg Void Geometry. Uses the MAGIC Method of Weight Windows (WW) generation on each sim run and multi-group cross sections (MGXS) for the implementation of cases with 50% scattering only (Problem 3, 3aii-cii)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a4046202-7a7d-4fdd-a9c8-c19633d907b7",
+   "metadata": {},
+   "source": [
+    "### Constructing Single Group Object:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "e38357eb-578f-4a91-9e2f-924a2a1a145e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Make a 1-group object\n",
+    "\n",
+    "#the energy group boundaries in eV\n",
+    "groups = mgxs.EnergyGroups(group_edges = np.array([0., 20.0e6]))\n",
+    "\n",
+    "# for my universe cell\n",
+    "plane1 = openmc.XPlane(x0= -0.0, boundary_type= 'reflective')\n",
+    "plane2 = openmc.XPlane(x0= +60, boundary_type= 'vacuum')\n",
+    "plane3 = openmc.YPlane(y0= -0.0, boundary_type= 'reflective')\n",
+    "plane4 = openmc.YPlane(y0= +100, boundary_type= 'vacuum')\n",
+    "plane5 = openmc.ZPlane(z0= -0.0, boundary_type= 'reflective')\n",
+    "plane6 = openmc.ZPlane(z0= +60, boundary_type= 'vacuum')\n",
+    "\n",
+    "\n",
+    "box3 = +plane1 & -plane2 & +plane3 & -plane4 & +plane5 & -plane6\n",
+    "\n",
+    "Ucell = openmc.Cell(\n",
+    "                    name='base universe',\n",
+    "                    region = box3)\n",
+    "\n",
+    "# domain: the domain for spatial homogenization aka\n",
+    "# averaging the cross sections over volume and flux spectrum\n",
+    "\n",
+    "total = mgxs.TotalXS(domain=Ucell, energy_groups=groups)\n",
+    "absorption = mgxs.AbsorptionXS(domain=Ucell, energy_groups=groups)\n",
+    "scattering = mgxs.ScatterXS(domain=Ucell, energy_groups=groups)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b159171-d6fe-461d-9e18-448e0ccc2384",
+   "metadata": {},
+   "source": [
+    "### Constructing Cross Section Values:\n",
+    "\n",
+    "Changing `True` to `False` will switch the cross-section values to represent Problem II."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "f7b674c4-94c4-4a88-8d51-1e1d77c66028",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Instantiate the energy group data: energy group boundaries\n",
+    "# sigma_t is the total interaction rate\n",
+    "# sigma_a is absorption cross section\n",
+    "# sigma_s is scattering cross section\n",
+    "\n",
+    "ebins = [1e-5, 20.0e6]\n",
+    "groups = openmc.mgxs.EnergyGroups(group_edges=ebins)\n",
+    "\n",
+    "\n",
+    "Problem_I = False # false = 50% scattering, true = no scattering (pure absorption)\n",
+    "\n",
+    "void_sigma_a = 1.0e-4 # assumed not to be 0 so MC can run\n",
+    "void_sigma_s = 0.5e-4\n",
+    "if Problem_I:\n",
+    "    void_sigma_s = 0\n",
+    "\n",
+    "void_mat_data = openmc.XSdata('void', groups)\n",
+    "void_mat_data.order = 0\n",
+    "void_mat_data.set_total([void_sigma_a + void_sigma_s])\n",
+    "void_mat_data.set_absorption([void_sigma_a])\n",
+    "void_mat_data.set_scatter_matrix(\n",
+    "    np.rollaxis(np.array([[[void_sigma_s]]]), 0, 3))\n",
+    "\n",
+    "absorber_sigma_a = 0.05\n",
+    "absorber_sigma_s = 0.05\n",
+    "if Problem_I:\n",
+    "    absorber_sigma_a = 0.1\n",
+    "    absorber_sigma_s = 0.0\n",
+    "\n",
+    "absorber_mat_data = openmc.XSdata('absorber', groups)\n",
+    "absorber_mat_data.order = 0\n",
+    "absorber_mat_data.set_total([absorber_sigma_a + absorber_sigma_s])\n",
+    "absorber_mat_data.set_absorption([absorber_sigma_a])\n",
+    "absorber_mat_data.set_scatter_matrix(\n",
+    "    np.rollaxis(np.array([[[absorber_sigma_s]]]), 0, 3))\n",
+    "\n",
+    "source_sigma_a = 0.05\n",
+    "source_sigma_s = 0.05\n",
+    "if Problem_I:\n",
+    "    source_sigma_a = 0.1\n",
+    "    source_sigma_s = 0.0\n",
+    "\n",
+    "source_mat_data = openmc.XSdata('source', groups)\n",
+    "source_mat_data.order = 0\n",
+    "source_mat_data.set_total([source_sigma_a + source_sigma_s])\n",
+    "source_mat_data.set_absorption([source_sigma_a])\n",
+    "source_mat_data.set_scatter_matrix(\n",
+    "    np.rollaxis(np.array([[[source_sigma_s]]]), 0, 3))\n",
+    "\n",
+    "#Output the cross-sections we just created to a hdf5 file, which we \n",
+    "# will later tell OpenMC to load\n",
+    "mg_cross_sections_file = openmc.MGXSLibrary(groups)\n",
+    "mg_cross_sections_file.add_xsdatas(\n",
+    "    [source_mat_data, void_mat_data, absorber_mat_data])\n",
+    "mg_cross_sections_file.export_to_hdf5(\"mgxs.h5\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f4de087b-4c42-402b-b392-1605871f48f9",
+   "metadata": {},
+   "source": [
+    "#### Material for the absorber, source, void:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "9516c6d6-dd25-4afe-8a08-63b5dbba3f02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Instantiate some Macroscopic Data\n",
+    "source_data = openmc.Macroscopic('source')\n",
+    "void_data = openmc.Macroscopic('void')\n",
+    "absorber_data = openmc.Macroscopic('absorber')\n",
+    "\n",
+    "Source = openmc.Material(name='source_mat')\n",
+    "Source.set_density('macro', 1.0)\n",
+    "Source.add_macroscopic('source')\n",
+    "\n",
+    "Absorber = openmc.Material(name='absorber_mat')\n",
+    "Absorber.set_density('macro', 1.0)\n",
+    "Absorber.add_macroscopic('absorber')\n",
+    "\n",
+    "Void = openmc.Material(name='void_mat')\n",
+    "Void.set_density('macro', 1.0)\n",
+    "Void.add_macroscopic('void')\n",
+    "\n",
+    "# Instantiate a Materials collection and export to XML\n",
+    "materials = openmc.Materials([Source,Absorber,Void])\n",
+    "materials.cross_sections = \"mgxs.h5\"\n",
+    "materials.export_to_xml()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2e746f8d-8754-44ef-b1e3-e231a086ef76",
+   "metadata": {},
+   "source": [
+    "#### Define the geometry:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "dc3d31c9-80ca-4d9c-9893-0ee5986e2d5a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Produce the void dog leg regions:\n",
+    "\n",
+    "#Void Segment 1:\n",
+    "\n",
+    "# plane1 = openmc.XPlane(x0= -0, boundary_type= 'reflective')\n",
+    "plane7 = openmc.XPlane(x0= +10, boundary_type= 'transmission')\n",
+    "plane12 = openmc.YPlane(y0= +10, boundary_type= 'transmission')\n",
+    "plane8 = openmc.YPlane(y0= +60, boundary_type= 'transmission')\n",
+    "# plane5 = openmc.ZPlane(z0= -0, boundary_type= 'reflective')\n",
+    "plane9 = openmc.ZPlane(z0= +10, boundary_type= 'transmission')\n",
+    "\n",
+    "segment1 = +plane1 & -plane7 & +plane12 & -plane8 & +plane5 & -plane9 #(0,10,10,60,0,10)\n",
+    "\n",
+    "\n",
+    "#Void Segment 2:\n",
+    "\n",
+    "# plane7 = openmc.XPlane(x0= +10, boundary_type= 'transmission')\n",
+    "plane10 = openmc.XPlane(x0= +40, boundary_type= 'transmission')\n",
+    "plane11 = openmc.YPlane(y0= +50, boundary_type= 'transmission')\n",
+    "# plane8 = openmc.YPlane(y0= +60, boundary_type= 'transmission')\n",
+    "# plane5 = openmc.ZPlane(z0= -0, boundary_type= 'reflective')\n",
+    "# plane9 = openmc.ZPlane(z0= +10, boundary_type= 'transmission')\n",
+    "\n",
+    "segment2 = +plane7 & -plane10 & +plane11 & -plane8 & +plane5 & -plane9 #(10,40,50,60,0,10)\n",
+    "\n",
+    "\n",
+    "#Void Segment 3:\n",
+    "segment3 = openmc.model.RectangularParallelepiped(30,40,50,60,10,40) # can keep parallelpiped since all transmission boundaries\n",
+    "\n",
+    "#Void Segment 4:\n",
+    "segment4 = openmc.model.RectangularParallelepiped(30,40,60,99.999,30,40) # can keep parallelpiped since all transmission boundaries\n",
+    "\n",
+    "#for my source cell:\n",
+    "\n",
+    "# plane1 = openmc.XPlane(x0= -0, boundary_type= 'reflective')\n",
+    "# plane7 = openmc.XPlane(x0= +10, boundary_type= 'transmission')\n",
+    "# plane3 = openmc.YPlane(y0= -0, boundary_type= 'reflective')\n",
+    "#plane12 = openmc.YPlane(y0= +10, boundary_type= 'transmission')\n",
+    "# plane5 = openmc.ZPlane(z0= -0, boundary_type= 'reflective')\n",
+    "# plane9 = openmc.ZPlane(z0= +10, boundary_type= 'transmission')\n",
+    "\n",
+    "box2 = +plane1 & -plane7 & +plane3 & -plane12 & +plane5 & -plane9 #(0,10,0,10,0,10)\n",
+    "\n",
+    "# for my absorber cell: We want this to match the universe volume in terms of b.c and the size of our geometry\n",
+    "\n",
+    "# plane1 = openmc.XPlane(x0= -0.0, boundary_type= 'reflective')\n",
+    "# plane2 = openmc.XPlane(x0= +60, boundary_type= 'vacuum')\n",
+    "# plane3 = openmc.YPlane(y0= -0.0, boundary_type= 'reflective')\n",
+    "# plane4 = openmc.YPlane(y0= +100, boundary_type= 'vacuum')\n",
+    "# plane5 = openmc.ZPlane(z0= -0.0, boundary_type= 'reflective')\n",
+    "# plane6 = openmc.ZPlane(z0= +60, boundary_type= 'vacuum')\n",
+    "\n",
+    "box0 = +plane1 & -plane2 & +plane3 & -plane4 & +plane5 & -plane6"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f5be3982-dbbd-4d58-9ae1-72bfa110330e",
+   "metadata": {},
+   "source": [
+    "#### Cont building geometry & cells:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "b557595a-ae95-4344-b8c2-703baa5e6080",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "source_cell = openmc.Cell(fill = Source,\n",
+    "                          region = box2,\n",
+    "                          name = 'source region')\n",
+    "\n",
+    "void_cell = openmc.Cell(fill = Void,\n",
+    "                        region = (segment1 | segment2 | -segment3 | -segment4),\n",
+    "                        name = 'void region')\n",
+    "\n",
+    "#previously having box0 | ~(segment1 | segment2 | -segment3 | -segment4) caused overlap\n",
+    "absorber_cell = openmc.Cell(fill = Absorber,\n",
+    "                            region = box0 & ~void_cell.region & ~source_cell.region,\n",
+    "                            name = 'absorber region')\n",
+    "\n",
+    "# Instantiate a Cell\n",
+    "# Ucell = openmc.Cell(name='base universe',\n",
+    "#                     region = -box3)\n",
+    "\n",
+    "# Fill the Cell with the Material\n",
+    "Ucell.fill = Void\n",
+    "\n",
+    "# Create root universe\n",
+    "root_universe = openmc.Universe(name='root universe', cells=[source_cell, void_cell, absorber_cell]) #pulled Ucell out of the root universe\n",
+    "\n",
+    "# Create Geometry and set root Universe\n",
+    "openmc_geometry = openmc.Geometry(root_universe)\n",
+    "openmc_geometry.merge_surfaces=True\n",
+    "\n",
+    "# Export to \"geometry.xml\"\n",
+    "openmc_geometry.export_to_xml()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "050ce8a3-3c78-4c45-a11d-7d99162c5962",
+   "metadata": {},
+   "source": [
+    "#### Mesh & Filter Object for the tallies in Kobayashi Report Table 4:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "a38b2aa6-a631-439f-a27b-1bbab072fb8a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a_mesh = openmc.RegularMesh()\n",
+    "a_mesh.dimension = [1,92,1] # number of bins\n",
+    "a_mesh.lower_left = [4.5, 4.5, 4.5] # physical \"corners\" of mesh\n",
+    "a_mesh.upper_right =[5.5, 95.5, 5.5]\n",
+    "\n",
+    "\n",
+    "b_mesh = openmc.RegularMesh()\n",
+    "b_mesh.dimension = [52,1,1]\n",
+    "b_mesh.lower_left = [4.5 , 54.5 , 4.5]\n",
+    "b_mesh.upper_right =[55.5, 55.5, 5.5]\n",
+    "\n",
+    "c_mesh = openmc.RegularMesh()\n",
+    "c_mesh.dimension = [52,1,1]\n",
+    "c_mesh.lower_left = [4.5, 94.5, 34.5]\n",
+    "c_mesh.upper_right =[55.5, 95.5 , 35.5]\n",
+    "\n",
+    "a_mesh_filter = openmc.MeshFilter(a_mesh)\n",
+    "\n",
+    "b_mesh_filter = openmc.MeshFilter(b_mesh) \n",
+    "\n",
+    "c_mesh_filter = openmc.MeshFilter(c_mesh)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c79e3703-cd41-4266-864a-5eb6b6319f50",
+   "metadata": {},
+   "source": [
+    "#### Mesh and Filter Object for my Geometry:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "029ce4e7-b801-45b9-b3c6-b14f8ff639eb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "geo_mesh = openmc.RegularMesh()\n",
+    "geo_mesh.dimension = [60,100,60]\n",
+    "geo_mesh.lower_left = [0,0,0]\n",
+    "geo_mesh.upper_right =[60,100,60]\n",
+    "\n",
+    "geo_mesh_filter = openmc.MeshFilter(geo_mesh)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c82c4107-b600-4805-b125-3a9125272e7e",
+   "metadata": {},
+   "source": [
+    "#### Tallies object for my tallies in Table 4:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "9c52b412-cc49-460c-a2bd-7e606989ca45",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a_tally = openmc.Tally(name = '3A Flux Tally')\n",
+    "a_tally.filters = [a_mesh_filter] \n",
+    "a_tally.scores = ['flux']\n",
+    "\n",
+    "\n",
+    "b_tally = openmc.Tally(name = '3B Flux Tally')\n",
+    "b_tally.filters = [b_mesh_filter]\n",
+    "b_tally.scores = ['flux'] \n",
+    "\n",
+    "\n",
+    "c_tally = openmc.Tally(name = '3C Flux Tally')\n",
+    "c_tally.filters = [c_mesh_filter]\n",
+    "c_tally.scores = ['flux']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2f62206-7232-42bf-9e91-4a7ab951f680",
+   "metadata": {},
+   "source": [
+    "#### Tallies object for my Weight Windows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "92b9b48e-2f71-4e19-8173-4b80764a459b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/vagrant/.pyenv/versions/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another Tally instance already exists with id=4.\n",
+      "  warn(msg, IDWarning)\n"
+     ]
+    }
+   ],
+   "source": [
+    "flux_tally = openmc.Tally(name= 'Flux Tally')\n",
+    "flux_tally.filters = [geo_mesh_filter]\n",
+    "flux_tally.scores = [\"flux\"]\n",
+    "\n",
+    "# Set ID number to access during openmc run:\n",
+    "flux_tally.id = 4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "9b990ea0-3e1e-40c8-9b75-9e9c84c1e5b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Export to \"tallies.xml\"\n",
+    "tallies = openmc.Tallies([a_tally, b_tally, c_tally, flux_tally])\n",
+    "tallies.export_to_xml()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "83534b95-157f-4737-9304-2d2e7abfc7b8",
+   "metadata": {},
+   "source": [
+    "### Settings, and changing Number of Neutrons & Batches:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "44074623-dc84-456e-a679-824d9e54ab63",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Instantiate a Settings object, set all runtime parameters, and export to XML\n",
+    "settings = openmc.Settings()\n",
+    "settings.energy_mode = \"multi-group\"\n",
+    "settings.batches = 10\n",
+    "settings.particles = 1_000_000\n",
+    "settings.run_mode = 'fixed source'\n",
+    "\n",
+    "# Create an initial uniform spatial source distribution over fissionable zones\n",
+    "bounds = [0,0,0,10,10,10] # match the geometry bounds for my source [xmin,ymin,zmin,xmax,ymax,zmax]\n",
+    "uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:])\n",
+    "energy_mono = openmc.stats.Discrete([1.0], [1.0]) # specifying a monenergentic point source, 1eV for 100% of particles\n",
+    "settings.source = openmc.IndependentSource(energy = energy_mono, space = uniform_dist)\n",
+    "\n",
+    "# Export to \"settings.xml\"\n",
+    "settings.export_to_xml()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "af3e7bfa-4b1e-40ef-98f5-c0feca4f665e",
+   "metadata": {},
+   "source": [
+    "#### Function to create the flux plot, std, weight window upper bound:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "1f144f33-24fc-48fa-a5aa-e947e49f877d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_mesh_tally_and_weight_window(statepoint_filename, weight_window_filename, image_filename):\n",
+    "    \n",
+    "    with openmc.StatePoint(statepoint_filename) as sp:\n",
+    "        flux_tally = sp.get_tally(name= 'Flux Tally')\n",
+    "\n",
+    "    tally_mesh = flux_tally.find_filter(openmc.MeshFilter).mesh\n",
+    "    tally_mesh_extent = geo_mesh.bounding_box.extent['xy']\n",
+    "\n",
+    "    # get a slice of mean values on the xy basis z=0 axis\n",
+    "    flux_mean = flux_tally.get_reshaped_data(value='mean', expand_dims=True).squeeze()[:,:,0] # originating at z = 0\n",
+    "    plt.subplot(2,3,1) # makes a 2x3 plot displayed 1st\n",
+    "    plt.tight_layout()\n",
+    "    # create a plot of the mean flux values\n",
+    "    plt.imshow(\n",
+    "        flux_mean.T,\n",
+    "        origin=\"lower\",\n",
+    "        extent=tally_mesh_extent,\n",
+    "        norm=LogNorm(),\n",
+    "        aspect='auto',\n",
+    "        interpolation='nearest'\n",
+    "    )\n",
+    "    plt.colorbar()\n",
+    "    plt.title(\"Flux Mean\")\n",
+    "    plt.xlabel('x (cm)')\n",
+    "    plt.ylabel('y (cm)')\n",
+    "\n",
+    "    # get a slice of relative error values on the xy basis z = 0 \n",
+    "    flux_std_dev = flux_tally.get_reshaped_data(value='rel_err', expand_dims=True).squeeze()[:,:,0] # originating at z = 0\n",
+    "    plt.subplot(2,3,2) # makes a 2x3 plot displayed 2nd\n",
+    "    plt.tight_layout() # this will fix the overlap on plots\n",
+    "    # create a plot of the flux relative error\n",
+    "    plt.imshow(\n",
+    "        flux_std_dev.T,\n",
+    "        origin=\"lower\",\n",
+    "        extent=tally_mesh_extent,\n",
+    "        aspect='auto',\n",
+    "        interpolation='nearest'\n",
+    "    )\n",
+    "    plt.colorbar()\n",
+    "    plt.title(\"Flux Rel. Err.\")\n",
+    "    plt.xlabel('x (cm)')\n",
+    "    plt.ylabel('y (cm)')\n",
+    "    \n",
+    "    \n",
+    "    wws_=openmc.hdf5_to_wws(weight_window_filename)\n",
+    "    ww = wws_[0]  # get the one and only mesh tally\n",
+    "    ww_mesh = ww.mesh  # get the mesh that the weight window is mapped on\n",
+    "    ww_mesh_extent = ww_mesh.bounding_box.extent['xy']\n",
+    "    # this is calling the upper bound and shaping it to create plot\n",
+    "    reshaped_ww_vals_upper = ww.upper_ww_bounds.reshape(geo_mesh.dimension)\n",
+    "   \n",
+    "    # get a slice on XY basis, at z = 0\n",
+    "    slice_of_ww_upper = reshaped_ww_vals_upper[:,:,0]\n",
+    "    plt.subplot(2,3,3)\n",
+    "    plt.tight_layout()\n",
+    "    # create a plot of the ww upper bounds\n",
+    "    plt.imshow(\n",
+    "        slice_of_ww_upper.T,\n",
+    "        origin=\"lower\",\n",
+    "        extent=ww_mesh_extent,\n",
+    "        norm=LogNorm(),\n",
+    "        aspect='auto',\n",
+    "        interpolation='nearest'\n",
+    "    )\n",
+    "    plt.colorbar()\n",
+    "    plt.title(\"Weight Window Upper Bound\")\n",
+    "    plt.xlabel('x (cm)')\n",
+    "    plt.ylabel('y (cm)')\n",
+    "    \n",
+    "    plt.savefig(image_filename, bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bbfded0f-2997-426e-b848-701282c6b270",
+   "metadata": {},
+   "source": [
+    "### Use Weight Windows Loop to run number of iterations:\n",
+    "Two possible ways for weight window generation, with slight changes (to compare if perhaps the set up was causing discrepancies)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f9ae1e50-fbd1-4258-9e69-216164bbfd30",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def gen_ww(tally_id):\n",
+    "\n",
+    "\n",
+    "    openmc.lib.init([])\n",
+    "    openmc.lib.simulation_init()\n",
+    "    #openmc.lib.settings.particles =  #these particles will eventually split, can turn it off because it would override\n",
+    "\n",
+    "    tally = openmc.lib.tallies[tally_id]\n",
+    "\n",
+    "    wws = openmc.lib.WeightWindows.from_tally(tally,particle = 'neutron')\n",
+    "\n",
+    "    iterations = 10\n",
+    "\n",
+    "    n_batches = openmc.lib.settings.get_batches()\n",
+    "    \n",
+    "    for i in range(iterations):\n",
+    "        print(\"f'Iteration {i}\")\n",
+    "        openmc.lib.run() #run the simulation\n",
+    "\n",
+    "        os.rename(f'statepoint.{n_batches}.h5', f'statepoint.{n_batches}.{i}.h5')\n",
+    "        print(\"Updating\")\n",
+    "        wws.update_magic(tally, value='rel_err', threshold=1.0) #updates the weight window with the latest tally results\n",
+    "        print(\"Done updating\")\n",
+    "\n",
+    "        openmc.lib.settings.weight_windows_on = True #turns on weight windows to ensure they are used\n",
+    "        if i % 2 == 0: #this doubles the amount of particles were iteration\n",
+    "            openmc.lib.settings.particles *= 2\n",
+    "        openmc.lib.reset()\n",
+    "\n",
+    "        print(\"Writing weight windows\")\n",
+    "        openmc.lib.export_weight_windows(filename = f'weight_windows{i}.h5') #write out the weight window maps for plotting later\n",
+    "\n",
+    "    # creates a plot of the flux, std_dev and weight window\n",
+    "    plot_mesh_tally_and_weight_window(\n",
+    "        f'statepoint.{n_batches}.{i}.h5',\n",
+    "        f'weight_windows{i}.h5',\n",
+    "        f'plot_{i}.png'\n",
+    "        )\n",
+    "    \n",
+    "    openmc.lib.finalize()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e7c0eddf-d96d-491d-8a92-b8e5472434e9",
+   "metadata": {},
+   "source": [
+    "Call the Function to run OpenMC with WW:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "1af4c91b-833f-432e-a86f-bff6f61fa885",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                %%%%%%%%%%%%%%%\n",
+      "                           %%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                        %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                      %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                                    %%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                                     %%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                 ###############      %%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                ##################     %%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                ###################     %%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                ####################     %%%%%%%%%%%%%%%%%%%%%%\n",
+      "                #####################     %%%%%%%%%%%%%%%%%%%%%\n",
+      "                ######################     %%%%%%%%%%%%%%%%%%%%\n",
+      "                #######################     %%%%%%%%%%%%%%%%%%\n",
+      "                 #######################     %%%%%%%%%%%%%%%%%\n",
+      "                 ######################     %%%%%%%%%%%%%%%%%\n",
+      "                  ####################     %%%%%%%%%%%%%%%%%\n",
+      "                    #################     %%%%%%%%%%%%%%%%%\n",
+      "                     ###############     %%%%%%%%%%%%%%%%\n",
+      "                       ############     %%%%%%%%%%%%%%%\n",
+      "                          ########     %%%%%%%%%%%%%%\n",
+      "                                      %%%%%%%%%%%\n",
+      "\n",
+      "                 | The OpenMC Monte Carlo Code\n",
+      "       Copyright | 2011-2024 MIT, UChicago Argonne LLC, and contributors\n",
+      "         License | https://docs.openmc.org/en/latest/license.html\n",
+      "         Version | 0.14.1-dev\n",
+      "        Git SHA1 | 9fee6534b6e873d24a4df7fe42d0bf5a988e207a\n",
+      "       Date/Time | 2024-08-21 18:27:35\n",
+      "   MPI Processes | 1\n",
+      "  OpenMP Threads | 40\n",
+      "\n",
+      " Reading settings XML file...\n",
+      " Reading cross sections HDF5 file...\n",
+      " Reading materials XML file...\n",
+      " Reading geometry XML file...\n",
+      " Loading cross section data...\n",
+      " Loading source data...\n",
+      " Loading absorber data...\n",
+      " Loading void data...\n",
+      " Reading tallies XML file...\n",
+      " Preparing distributed cell instances...\n",
+      " Reading plot XML file...\n",
+      " Writing summary.h5 file...\n",
+      "\n",
+      " ===============>     FIXED SOURCE TRANSPORT SIMULATION     <===============\n",
+      "\n",
+      "f'Iteration {i}\n",
+      " Simulating batch 1\n",
+      " Simulating batch 2\n",
+      " Simulating batch 3\n",
+      " Simulating batch 4\n",
+      " Simulating batch 5\n",
+      " Simulating batch 6\n",
+      " Simulating batch 7\n",
+      " Simulating batch 8\n",
+      " Simulating batch 9\n",
+      " Simulating batch 10\n",
+      " Creating state point statepoint.10.h5...\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     = 3.7919e-02 seconds\n",
+      "   Reading cross sections          = 4.9507e-03 seconds\n",
+      " Total time in simulation          = 1.0613e+02 seconds\n",
+      "   Time in transport only          = 1.0462e+02 seconds\n",
+      "   Time in active batches          = 1.0613e+02 seconds\n",
+      "   Time accumulating tallies       = 1.3688e+00 seconds\n",
+      "   Time writing statepoints        = 1.3358e-01 seconds\n",
+      " Total time for finalization       = 6.1947e-01 seconds\n",
+      " Total time elapsed                = 1.0679e+02 seconds\n",
+      " Calculation Rate (active)         = 94226.1 particles/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " Leakage Fraction            = 0.00534 +/- 0.00003\n",
+      "\n",
+      "Updating\n",
+      "Done updating\n",
+      "Writing weight windows\n",
+      " Exporting weight windows to weight_windows0.h5...\n",
+      "f'Iteration {i}\n",
+      "\n",
+      " ===============>     FIXED SOURCE TRANSPORT SIMULATION     <===============\n",
+      "\n",
+      " Simulating batch 1\n",
+      " Simulating batch 2\n",
+      " Simulating batch 3\n",
+      " Simulating batch 4\n",
+      " Simulating batch 5\n",
+      " Simulating batch 6\n",
+      " Simulating batch 7\n",
+      " Simulating batch 8\n",
+      " Simulating batch 9\n",
+      " Simulating batch 10\n",
+      " Creating state point statepoint.10.h5...\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     = 3.7919e-02 seconds\n",
+      "   Reading cross sections          = 4.9507e-03 seconds\n",
+      " Total time in simulation          = 3.1230e+02 seconds\n",
+      "   Time in transport only          = 3.0974e+02 seconds\n",
+      "   Time in active batches          = 3.1230e+02 seconds\n",
+      "   Time accumulating tallies       = 2.2747e+00 seconds\n",
+      "   Time writing statepoints        = 2.6058e-01 seconds\n",
+      " Total time for finalization       = 1.2670e+00 seconds\n",
+      " Total time elapsed                = 3.1360e+02 seconds\n",
+      " Calculation Rate (active)         = 64041.7 particles/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " Leakage Fraction            = 0.00532 +/- 0.00001\n",
+      "\n",
+      "Updating\n",
+      "Done updating\n",
+      "Writing weight windows\n",
+      " Exporting weight windows to weight_windows1.h5...\n",
+      "f'Iteration {i}\n",
+      "\n",
+      " ===============>     FIXED SOURCE TRANSPORT SIMULATION     <===============\n",
+      "\n",
+      " Simulating batch 1\n",
+      " Simulating batch 2\n",
+      " Simulating batch 3\n",
+      " Simulating batch 4\n",
+      " Simulating batch 5\n",
+      " Simulating batch 6\n",
+      " Simulating batch 7\n",
+      " Simulating batch 8\n",
+      " Simulating batch 9\n",
+      " Simulating batch 10\n",
+      " Creating state point statepoint.10.h5...\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     = 3.7919e-02 seconds\n",
+      "   Reading cross sections          = 4.9507e-03 seconds\n",
+      " Total time in simulation          = 5.1325e+02 seconds\n",
+      "   Time in transport only          = 5.0999e+02 seconds\n",
+      "   Time in active batches          = 5.1325e+02 seconds\n",
+      "   Time accumulating tallies       = 2.9285e+00 seconds\n",
+      "   Time writing statepoints        = 3.0331e-01 seconds\n",
+      " Total time for finalization       = 1.8797e+00 seconds\n",
+      " Total time elapsed                = 5.1517e+02 seconds\n",
+      " Calculation Rate (active)         = 38967.6 particles/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " Leakage Fraction            = 0.00531 +/- 0.00001\n",
+      "\n",
+      "Updating\n",
+      "Done updating\n",
+      "Writing weight windows\n",
+      " Exporting weight windows to weight_windows2.h5...\n",
+      "f'Iteration {i}\n",
+      "\n",
+      " ===============>     FIXED SOURCE TRANSPORT SIMULATION     <===============\n",
+      "\n",
+      " Simulating batch 1\n",
+      " Simulating batch 2\n",
+      " Simulating batch 3\n",
+      " Simulating batch 4\n",
+      " Simulating batch 5\n",
+      " Simulating batch 6\n",
+      " Simulating batch 7\n",
+      " Simulating batch 8\n",
+      " Simulating batch 9\n",
+      " Simulating batch 10\n",
+      " Creating state point statepoint.10.h5...\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     = 3.7919e-02 seconds\n",
+      "   Reading cross sections          = 4.9507e-03 seconds\n",
+      " Total time in simulation          = 9.0930e+02 seconds\n",
+      "   Time in transport only          = 9.0536e+02 seconds\n",
+      "   Time in active batches          = 9.0930e+02 seconds\n",
+      "   Time accumulating tallies       = 3.5735e+00 seconds\n",
+      "   Time writing statepoints        = 3.3618e-01 seconds\n",
+      " Total time for finalization       = 2.5089e+00 seconds\n",
+      " Total time elapsed                = 9.1185e+02 seconds\n",
+      " Calculation Rate (active)         = 43989.9 particles/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " Leakage Fraction            = 0.00530 +/- 0.00001\n",
+      "\n",
+      "Updating\n",
+      "Done updating\n",
+      "Writing weight windows\n",
+      " Exporting weight windows to weight_windows3.h5...\n",
+      "f'Iteration {i}\n",
+      "\n",
+      " ===============>     FIXED SOURCE TRANSPORT SIMULATION     <===============\n",
+      "\n",
+      " Simulating batch 1\n",
+      " Simulating batch 2\n",
+      " Simulating batch 3\n",
+      " Simulating batch 4\n",
+      " Simulating batch 5\n",
+      " Simulating batch 6\n",
+      " Simulating batch 7\n",
+      " Simulating batch 8\n",
+      " Simulating batch 9\n",
+      " Simulating batch 10\n",
+      " Creating state point statepoint.10.h5...\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     = 3.7919e-02 seconds\n",
+      "   Reading cross sections          = 4.9507e-03 seconds\n",
+      " Total time in simulation          = 1.2897e+03 seconds\n",
+      "   Time in transport only          = 1.2850e+03 seconds\n",
+      "   Time in active batches          = 1.2897e+03 seconds\n",
+      "   Time accumulating tallies       = 4.2326e+00 seconds\n",
+      "   Time writing statepoints        = 3.9392e-01 seconds\n",
+      " Total time for finalization       = 3.1702e+00 seconds\n",
+      " Total time elapsed                = 1.2929e+03 seconds\n",
+      " Calculation Rate (active)         = 31016.2 particles/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " Leakage Fraction            = 0.00531 +/- 0.00001\n",
+      "\n",
+      "Updating\n",
+      "Done updating\n",
+      "Writing weight windows\n",
+      " Exporting weight windows to weight_windows4.h5...\n",
+      "f'Iteration {i}\n",
+      "\n",
+      " ===============>     FIXED SOURCE TRANSPORT SIMULATION     <===============\n",
+      "\n",
+      " Simulating batch 1\n",
+      " Simulating batch 2\n",
+      " Simulating batch 3\n",
+      " Simulating batch 4\n",
+      " Simulating batch 5\n",
+      " Simulating batch 6\n",
+      " Simulating batch 7\n",
+      " Simulating batch 8\n",
+      " Simulating batch 9\n",
+      " Simulating batch 10\n",
+      " Creating state point statepoint.10.h5...\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     = 3.7919e-02 seconds\n",
+      "   Reading cross sections          = 4.9507e-03 seconds\n",
+      " Total time in simulation          = 2.0726e+03 seconds\n",
+      "   Time in transport only          = 2.0671e+03 seconds\n",
+      "   Time in active batches          = 2.0726e+03 seconds\n",
+      "   Time accumulating tallies       = 4.9795e+00 seconds\n",
+      "   Time writing statepoints        = 4.2619e-01 seconds\n",
+      " Total time for finalization       = 3.8083e+00 seconds\n",
+      " Total time elapsed                = 2.0764e+03 seconds\n",
+      " Calculation Rate (active)         = 38599 particles/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " Leakage Fraction            = 0.00531 +/- 0.00001\n",
+      "\n",
+      "Updating\n",
+      "Done updating\n",
+      "Writing weight windows\n",
+      " Exporting weight windows to weight_windows5.h5...\n",
+      "f'Iteration {i}\n",
+      "\n",
+      " ===============>     FIXED SOURCE TRANSPORT SIMULATION     <===============\n",
+      "\n",
+      " Simulating batch 1\n",
+      " Simulating batch 2\n",
+      " Simulating batch 3\n",
+      " Simulating batch 4\n",
+      " Simulating batch 5\n",
+      " Simulating batch 6\n",
+      " Simulating batch 7\n",
+      " Simulating batch 8\n",
+      " Simulating batch 9\n",
+      " Simulating batch 10\n",
+      " Creating state point statepoint.10.h5...\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     = 3.7919e-02 seconds\n",
+      "   Reading cross sections          = 4.9507e-03 seconds\n",
+      " Total time in simulation          = 2.9150e+03 seconds\n",
+      "   Time in transport only          = 2.9089e+03 seconds\n",
+      "   Time in active batches          = 2.9150e+03 seconds\n",
+      "   Time accumulating tallies       = 5.5368e+00 seconds\n",
+      "   Time writing statepoints        = 5.5704e-01 seconds\n",
+      " Total time for finalization       = 4.4926e+00 seconds\n",
+      " Total time elapsed                = 2.9196e+03 seconds\n",
+      " Calculation Rate (active)         = 27444.1 particles/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " Leakage Fraction            = 0.00531 +/- 0.00001\n",
+      "\n",
+      "Updating\n",
+      "Done updating\n",
+      "Writing weight windows\n",
+      " Exporting weight windows to weight_windows6.h5...\n",
+      "f'Iteration {i}\n",
+      "\n",
+      " ===============>     FIXED SOURCE TRANSPORT SIMULATION     <===============\n",
+      "\n",
+      " Simulating batch 1\n",
+      " Simulating batch 2\n",
+      " Simulating batch 3\n",
+      " Simulating batch 4\n",
+      " Simulating batch 5\n",
+      " Simulating batch 6\n",
+      " Simulating batch 7\n",
+      " Simulating batch 8\n",
+      " Simulating batch 9\n",
+      " Simulating batch 10\n",
+      " Creating state point statepoint.10.h5...\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     = 3.7919e-02 seconds\n",
+      "   Reading cross sections          = 4.9507e-03 seconds\n",
+      " Total time in simulation          = 4.5403e+03 seconds\n",
+      "   Time in transport only          = 4.5333e+03 seconds\n",
+      "   Time in active batches          = 4.5403e+03 seconds\n",
+      "   Time accumulating tallies       = 6.3145e+00 seconds\n",
+      "   Time writing statepoints        = 5.8823e-01 seconds\n",
+      " Total time for finalization       = 5.0987e+00 seconds\n",
+      " Total time elapsed                = 4.5455e+03 seconds\n",
+      " Calculation Rate (active)         = 35239.9 particles/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " Leakage Fraction            = 0.00532 +/- 0.00001\n",
+      "\n",
+      "Updating\n",
+      "Done updating\n",
+      "Writing weight windows\n",
+      " Exporting weight windows to weight_windows7.h5...\n",
+      "f'Iteration {i}\n",
+      "\n",
+      " ===============>     FIXED SOURCE TRANSPORT SIMULATION     <===============\n",
+      "\n",
+      " Simulating batch 1\n",
+      " Simulating batch 2\n",
+      " Simulating batch 3\n",
+      " Simulating batch 4\n",
+      " Simulating batch 5\n",
+      " Simulating batch 6\n",
+      " Simulating batch 7\n",
+      " Simulating batch 8\n",
+      " Simulating batch 9\n",
+      " Simulating batch 10\n",
+      " Creating state point statepoint.10.h5...\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     = 3.7919e-02 seconds\n",
+      "   Reading cross sections          = 4.9507e-03 seconds\n",
+      " Total time in simulation          = 6.1572e+03 seconds\n",
+      "   Time in transport only          = 6.1492e+03 seconds\n",
+      "   Time in active batches          = 6.1572e+03 seconds\n",
+      "   Time accumulating tallies       = 7.3133e+00 seconds\n",
+      "   Time writing statepoints        = 6.3883e-01 seconds\n",
+      " Total time for finalization       = 5.7458e+00 seconds\n",
+      " Total time elapsed                = 6.1630e+03 seconds\n",
+      " Calculation Rate (active)         = 25985.8 particles/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " Leakage Fraction            = 0.00531 +/- 0.00000\n",
+      "\n",
+      "Updating\n",
+      "Done updating\n",
+      "Writing weight windows\n",
+      " Exporting weight windows to weight_windows8.h5...\n",
+      "f'Iteration {i}\n",
+      "\n",
+      " ===============>     FIXED SOURCE TRANSPORT SIMULATION     <===============\n",
+      "\n",
+      " Simulating batch 1\n",
+      " Simulating batch 2\n",
+      " Simulating batch 3\n",
+      " Simulating batch 4\n",
+      " Simulating batch 5\n",
+      " Simulating batch 6\n",
+      " Simulating batch 7\n",
+      " Simulating batch 8\n",
+      " Simulating batch 9\n",
+      " Simulating batch 10\n",
+      " Creating state point statepoint.10.h5...\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     = 3.7919e-02 seconds\n",
+      "   Reading cross sections          = 4.9507e-03 seconds\n",
+      " Total time in simulation          = 9.2882e+03 seconds\n",
+      "   Time in transport only          = 9.2794e+03 seconds\n",
+      "   Time in active batches          = 9.2882e+03 seconds\n",
+      "   Time accumulating tallies       = 8.0600e+00 seconds\n",
+      "   Time writing statepoints        = 7.0398e-01 seconds\n",
+      " Total time for finalization       = 6.3606e+00 seconds\n",
+      " Total time elapsed                = 9.2947e+03 seconds\n",
+      " Calculation Rate (active)         = 34452.2 particles/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " Leakage Fraction            = 0.00531 +/- 0.00000\n",
+      "\n",
+      "Updating\n",
+      "Done updating\n",
+      "Writing weight windows\n",
+      " Exporting weight windows to weight_windows9.h5...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/vagrant/.pyenv/versions/py3/lib/python3.9/site-packages/openmc/tallies.py:1278: RuntimeWarning: invalid value encountered in divide\n",
+      "  data = self.std_dev[indices] / self.mean[indices]\n",
+      "/home/vagrant/.pyenv/versions/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another MeshBase instance already exists with id=4.\n",
+      "  warn(msg, IDWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "gen_ww(4) #use the tally id"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "0d443690-11fb-470b-94a9-f06c1b447c4c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# with openmc.lib.run_in_memory():\n",
+    "\n",
+    "#     # loads up a live pointer to the tally with id=4, at this stage the tally is empty\n",
+    "#     tally = openmc.lib.tallies[4]\n",
+    "\n",
+    "#     # makes weight windows from the tally, at this stage the values are empty\n",
+    "#     wws = openmc.lib.WeightWindows.from_tally(tally, particle='neutron')\n",
+    "\n",
+    "#     iterations = 15\n",
+    "#     n_batches = openmc.lib.settings.get_batches()\n",
+    "    \n",
+    "#     # N iterations of weight window improvements\n",
+    "#     for i in range(iterations):\n",
+    "\n",
+    "#         # run the simulation\n",
+    "#         openmc.lib.run()\n",
+    "\n",
+    "#         # improves the weight window with the latest tally results\n",
+    "#         wws.update_magic(tally,value='rel_err', threshold=1.0 )\n",
+    "\n",
+    "#         # we write out the weight window map for plotting later\n",
+    "#         openmc.lib.export_weight_windows(filename=f'weight_windows{i}.h5')\n",
+    "#         # we write out the statepoint so that the tally can be plotted later\n",
+    "#         os.rename(f'statepoint.{n_batches}.h5', f'statepoint.{n_batches}.{i}.h5')\n",
+    "\n",
+    "#         # turns on the weight windows to ensure they are used\n",
+    "#         openmc.lib.settings.weight_windows_on = True\n",
+    "\n",
+    "#     # creates a plot of the flux, std_dev and weight window\n",
+    "#     plot_mesh_tally_and_weight_window(\n",
+    "#         f'statepoint.{n_batches}.{i}.h5',\n",
+    "#         f'weight_windows{i}.h5',\n",
+    "#         f'plot_{i}.png'\n",
+    "#         )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c332da9-225c-45ec-8856-7a201e07ca18",
+   "metadata": {},
+   "source": [
+    "Function to run with the latest weight windows file and produce a new statepoint:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "56d74ac5-868e-45d9-b507-29e608c0aaa3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def use_ww(i):\n",
+    "    openmc.lib.init([])\n",
+    "    openmc.lib.simulation_init()\n",
+    "    openmc.lib.settings.particles = 2_000_000 # in case 3Cii turn this on so we can run with more particles with the latest WW\n",
+    "    openmc.lib.settings.weight_windows_on = True #turns on weight windows to ensure they are used\n",
+    "    \n",
+    "    n_batches = openmc.lib.settings.get_batches()\n",
+    "    \n",
+    "    \n",
+    "    openmc.lib.import_weight_windows(filename = f'weight_windows{i}.h5', output=True)\n",
+    "    print('Using the final weight window to update:')\n",
+    "    \n",
+    "    openmc.lib.run() #run the simulation\n",
+    "    os.rename(f'statepoint.{n_batches}.h5', f'statepoint.{n_batches}.{i}.ww.h5')\n",
+    "    print(\"Update Complete\")\n",
+    "    \n",
+    "     # creates a plot of the flux, std_dev and weight window by calling the function\n",
+    "    plot_mesh_tally_and_weight_window(\n",
+    "        f'statepoint.{n_batches}.{i}.ww.h5',\n",
+    "        f'weight_windows{i}.h5',\n",
+    "        f'plot_{i}.ww.png'\n",
+    "        )\n",
+    "\n",
+    "    openmc.lib.finalize()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "0c7b963f-5985-4b3c-8481-9b42c5a5d3fc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                %%%%%%%%%%%%%%%\n",
+      "                           %%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                        %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                      %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                                    %%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                                     %%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                 ###############      %%%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                ##################     %%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                ###################     %%%%%%%%%%%%%%%%%%%%%%%\n",
+      "                ####################     %%%%%%%%%%%%%%%%%%%%%%\n",
+      "                #####################     %%%%%%%%%%%%%%%%%%%%%\n",
+      "                ######################     %%%%%%%%%%%%%%%%%%%%\n",
+      "                #######################     %%%%%%%%%%%%%%%%%%\n",
+      "                 #######################     %%%%%%%%%%%%%%%%%\n",
+      "                 ######################     %%%%%%%%%%%%%%%%%\n",
+      "                  ####################     %%%%%%%%%%%%%%%%%\n",
+      "                    #################     %%%%%%%%%%%%%%%%%\n",
+      "                     ###############     %%%%%%%%%%%%%%%%\n",
+      "                       ############     %%%%%%%%%%%%%%%\n",
+      "                          ########     %%%%%%%%%%%%%%\n",
+      "                                      %%%%%%%%%%%\n",
+      "\n",
+      "                 | The OpenMC Monte Carlo Code\n",
+      "       Copyright | 2011-2024 MIT, UChicago Argonne LLC, and contributors\n",
+      "         License | https://docs.openmc.org/en/latest/license.html\n",
+      "         Version | 0.14.1-dev\n",
+      "        Git SHA1 | 9fee6534b6e873d24a4df7fe42d0bf5a988e207a\n",
+      "       Date/Time | 2024-08-21 21:02:43\n",
+      "   MPI Processes | 1\n",
+      "  OpenMP Threads | 40\n",
+      "\n",
+      " Reading settings XML file...\n",
+      " Reading cross sections HDF5 file...\n",
+      " Reading materials XML file...\n",
+      " Reading geometry XML file...\n",
+      " Loading cross section data...\n",
+      " Loading source data...\n",
+      " Loading absorber data...\n",
+      " Loading void data...\n",
+      " Loading source data...\n",
+      " Loading absorber data...\n",
+      " Loading void data...\n",
+      " Reading tallies XML file...\n",
+      " Preparing distributed cell instances...\n",
+      " Reading plot XML file...\n",
+      " Writing summary.h5 file...\n",
+      "\n",
+      " ===============>     FIXED SOURCE TRANSPORT SIMULATION     <===============\n",
+      "\n",
+      " Importing weight windows from weight_windows9.h5...\n",
+      "Using the final weight window to update:\n",
+      " Simulating batch 1\n",
+      " Simulating batch 2\n",
+      " Simulating batch 3\n",
+      " Simulating batch 4\n",
+      " Simulating batch 5\n",
+      " Simulating batch 6\n",
+      " Simulating batch 7\n",
+      " Simulating batch 8\n",
+      " Simulating batch 9\n",
+      " Simulating batch 10\n",
+      " Creating state point statepoint.10.h5...\n",
+      "\n",
+      " =======================>     TIMING STATISTICS     <=======================\n",
+      "\n",
+      " Total time for initialization     = 3.0510e-02 seconds\n",
+      "   Reading cross sections          = 6.7824e-03 seconds\n",
+      " Total time in simulation          = 1.0560e+02 seconds\n",
+      "   Time in transport only          = 1.0448e+02 seconds\n",
+      "   Time in active batches          = 1.0560e+02 seconds\n",
+      "   Time accumulating tallies       = 9.8949e-01 seconds\n",
+      "   Time writing statepoints        = 3.3974e-02 seconds\n",
+      " Total time for finalization       = 6.3095e-01 seconds\n",
+      " Total time elapsed                = 1.0626e+02 seconds\n",
+      " Calculation Rate (active)         = 189400 particles/second\n",
+      "\n",
+      " ============================>     RESULTS     <============================\n",
+      "\n",
+      " Leakage Fraction            = 0.00536 +/- 0.00001\n",
+      "\n",
+      "Update Complete\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/vagrant/.pyenv/versions/py3/lib/python3.9/site-packages/openmc/tallies.py:1278: RuntimeWarning: invalid value encountered in divide\n",
+      "  data = self.std_dev[indices] / self.mean[indices]\n",
+      "/home/vagrant/.pyenv/versions/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another MeshBase instance already exists with id=4.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/vagrant/.pyenv/versions/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another WeightWindows instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "use_ww(9) #call final weight window file"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9e2d7100-6dbb-4136-81e3-c01dcd541b65",
+   "metadata": {},
+   "source": [
+    "Statepoint files WITH Weight Windows (WW):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "0e1685c0-915b-4501-b51a-741bdd38e9ad",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sp = openmc.StatePoint('statepoint.10.9.h5')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cdd556b5-ad8e-44df-95ee-1c0d3ff4ba07",
+   "metadata": {},
+   "source": [
+    "Extract flux tally for entire geometry:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "c6d5cdaf-8000-4ba4-9d44-caa24b0a518d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "flux_results = sp.get_tally(name = 'Flux Tally')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e8d9f5eb-db9c-4c2d-9a6c-84fc5150bcf7",
+   "metadata": {},
+   "source": [
+    "Extract the flux score for entire geometry: "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "3f6a6205-0f53-487f-9ba3-3402d058ae74",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "flux = flux_results.get_slice(scores=['flux'])\n",
+    "flux_array = flux.mean"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cb5b685e-b8e5-4ecb-a037-2c1d36f93fc2",
+   "metadata": {},
+   "source": [
+    "Extract the 3A,3B,3C tallies WITH WW:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "5dda6993-4075-4735-a023-47c2598a7ca4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "A_ww_results = sp.get_tally(name = '3A Flux Tally')\n",
+    "B_ww_results = sp.get_tally(name = '3B Flux Tally')\n",
+    "C_ww_results = sp.get_tally(name = '3C Flux Tally')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9773bb96-a9e5-4f57-85fd-a09f05782578",
+   "metadata": {},
+   "source": [
+    "Extract the mean flux and std deviation for 3A,3B,3C WITH WW:\n",
+    "\n",
+    "Each voxel has a face area of 1cm^2, so that's the unit conversion you need for the number recorded in each voxel. But, you also have to multiply by 1000 because the source volume is 1000cm^3 and the source rate is 1 neutron/cm^3/s"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "3d8e99ae-a81f-4218-8609-e2faeaaeb68b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a_flux = A_ww_results\n",
+    "a_flux_array = a_flux.mean * 1000\n",
+    "a_std_array = a_flux.std_dev * 1000\n",
+    "\n",
+    "\n",
+    "b_flux= B_ww_results\n",
+    "b_flux_array = b_flux.mean * 1000\n",
+    "b_std_array = b_flux.std_dev * 1000\n",
+    "\n",
+    "c_flux= C_ww_results\n",
+    "c_flux_array = c_flux.mean * 1000\n",
+    "c_std_array = c_flux.std_dev * 1000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "1c025909-2b13-4981-8d71-2c9c8cf3ca70",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# print(a_std_array)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c85cbf56-07ad-4260-9937-17774c83ab50",
+   "metadata": {},
+   "source": [
+    "Statepoint files WITHOUT WW:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "7775ded0-28a2-49e2-9762-508c8efc31f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sp_no_ww = openmc.StatePoint('statepoint.10.0.h5') "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a4a4fd8c-8e4a-4b31-a137-afae890f09bf",
+   "metadata": {},
+   "source": [
+    "Extract the 3A,3B,3C tallies WITHOUT WW: "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "859b001f-18a6-4a18-bd91-efbd3b44a566",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "A_noww_results = sp_no_ww.get_tally(name = '3A Flux Tally')\n",
+    "B_noww_results = sp_no_ww.get_tally(name = '3B Flux Tally')\n",
+    "C_noww_results = sp_no_ww.get_tally(name = '3C Flux Tally')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "153f7243-7d20-41a1-86c9-5bef456e28a8",
+   "metadata": {},
+   "source": [
+    "Extract the mean flux and std deviation for 3A,3B,3C WITHOUT WW:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "87340426-c61a-453a-82c2-7c9d27e4bc46",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a_noww_flux= A_noww_results\n",
+    "a_noww_flux_array = a_noww_flux.mean * 1000\n",
+    "a_noww_std_array = a_noww_flux.std_dev * 1000\n",
+    "\n",
+    "b_noww_flux= B_noww_results\n",
+    "b_noww_flux_array = b_noww_flux.mean * 1000 \n",
+    "b_noww_std_array = b_noww_flux.std_dev * 1000 \n",
+    "\n",
+    "c_noww_flux= C_noww_results\n",
+    "c_noww_flux_array = c_noww_flux.mean * 1000 \n",
+    "c_noww_std_array = c_noww_flux.std_dev * 1000"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5cbe46a5-c1f4-48fc-a900-b256f13482cc",
+   "metadata": {},
+   "source": [
+    "Relative Error for 3A:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "1ae03946-aa8b-47d3-9789-8f3ed9d6ef9b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.04424056 0.11431356 0.22282305 0.33030255 0.37515822 0.25948537\n",
+      " 0.3334752  0.79116373 1.64017221 3.02713577]\n",
+      "[ 0.27086011  0.61094774  1.20804632  0.68303086  1.31291622  2.1189737\n",
+      "  2.3277959   4.06363802 11.29956972 19.85135547]\n",
+      "[0.04475612 0.11411521 0.22212447 0.3266731  0.37314039 0.25801038\n",
+      " 0.31504215 0.73604494 1.53516888 2.78923166]\n",
+      "[ 98.84806575 100.1738133  100.31449919 101.11103363 100.54076896\n",
+      " 100.57167532 105.85097824 107.48850832 106.83985559 108.52937803]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "\n",
+    "# plotting the flux values for gmvp, mcnp, and openmc ww, and openmc analog:\n",
+    "flux_by_gmvp = np.array([8.61578e-0 , 2.16130e-0 , 8.93784e-1, 4.78052e-1,2.89424e-1,1.92698e-1,1.0482e-1,3.37544e-2,\n",
+    "                     1.08158e-2,3.39632e-3])\n",
+    "flux_by_mcnp = np.array([8.6410e-0, 2.1601e-0, 8.9324e-1,4.7776e-1,2.8929e-1, 1.9264e-1, 1.0543e-1, 3.3665e-2,  1.0723e-2,3.3753e-3])\n",
+    "flux_by_openmc = np.squeeze(a_flux_array[0::10])\n",
+    "flux_by_analog = np.squeeze(a_noww_flux_array[0::10])\n",
+    "\n",
+    "y_dist = list(range(5, 105, 10))\n",
+    "\n",
+    "# relative error between ww and gmvp:\n",
+    "ww_gmvp = flux_by_openmc / flux_by_gmvp\n",
+    "\n",
+    "# relative error between analog and gmvp:\n",
+    "analog_gmvp = flux_by_analog / flux_by_gmvp\n",
+    "\n",
+    "# the relative error between mcnp and gmvp:\n",
+    "mcnp_rel_err = flux_by_mcnp / flux_by_gmvp\n",
+    "\n",
+    "# the uncertainty in the ww:\n",
+    "ww_rel_error = A_ww_results.get_values(value='rel_err')\n",
+    "ww_rel_err = np.squeeze(ww_rel_error[0::10])\n",
+    "\n",
+    "# the uncertainty in the analog:\n",
+    "analog_rel_error = A_noww_results.get_values(value='rel_err')\n",
+    "analog_rel_err = np.squeeze(analog_rel_error[0::10])\n",
+    "\n",
+    "# plotting the error bars for ww:\n",
+    "ww_uncertainty = abs((ww_rel_err * flux_by_openmc) / (flux_by_gmvp))\n",
+    "\n",
+    "ax.errorbar(y_dist,\n",
+    "            ww_gmvp, \n",
+    "            yerr= ww_uncertainty, \n",
+    "            linewidth = 2.0,\n",
+    "            capsize = 4.0,\n",
+    "            color = 'chocolate')\n",
+    "\n",
+    "# plotting the error bars for Analog:\n",
+    "analog_uncertainty = abs((analog_rel_err * flux_by_analog) / (flux_by_gmvp))\n",
+    "\n",
+    "ax.errorbar([x-0.35 for x in y_dist], \n",
+    "            analog_gmvp, \n",
+    "            yerr= analog_uncertainty, \n",
+    "            linewidth = 2.0,\n",
+    "            capsize = 4.0,\n",
+    "            linestyle= '--',\n",
+    "            color = 'darkseagreen')\n",
+    "\n",
+    "\n",
+    "# Organizing plot:\n",
+    "plt.title('Relative Flux of Problem 3Aii (x = z = 5 cm)')\n",
+    "plt.xlabel('y (cm)')\n",
+    "plt.ylabel('Flux Relative to GMVP')\n",
+    "#plt.ylim(0.5, 1.5)\n",
+    "plt.xlim(0,100)\n",
+    "plt.hlines(1, -.5, 100, \n",
+    "           color = 'gray',\n",
+    "           linestyle= '--', \n",
+    "           alpha = 0.75, \n",
+    "           label= 'GMVP')\n",
+    "plt.plot(y_dist,\n",
+    "         ww_gmvp, \n",
+    "         '-s',\n",
+    "         label = 'OpenMC WW',\n",
+    "         color = 'chocolate')\n",
+    "plt.plot(y_dist,\n",
+    "         analog_gmvp, \n",
+    "         '--o',\n",
+    "         label = 'OpenMC Analog',\n",
+    "         color = 'darkseagreen')\n",
+    "plt.plot(y_dist, \n",
+    "        mcnp_rel_err,\n",
+    "        '--v', \n",
+    "         label = 'MCNP4B',\n",
+    "        color = 'steelblue')\n",
+    "\n",
+    "plt.legend(loc = 'lower left')\n",
+    "plt.grid(True, which=\"both\", alpha=0.5)\n",
+    "sns.set_theme(style=\"darkgrid\")\n",
+    "\n",
+    "\n",
+    "plt.show\n",
+    "\n",
+    "print(ww_uncertainty * 100)\n",
+    "print(analog_uncertainty * 100)\n",
+    "\n",
+    "print(ww_rel_err * 100)\n",
+    "\n",
+    "print(ww_gmvp * 100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87183ac5-da81-46c8-abe4-985928ece3d5",
+   "metadata": {},
+   "source": [
+    "Relative Error for 3B:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "2c2a93e8-23be-400c-b7bc-a521a83dccb2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.32408067 0.740418   0.94354164 1.15715702 3.48154855 4.78999153]\n",
+      "[ 2.17724505  4.96936978  5.38202544 11.26982933  9.29501975 21.20707425]\n",
+      "[0.33050697 0.72654875 0.93368932 1.14020501 3.18938309 4.42374508]\n",
+      "[ 98.05562408 101.90892249 101.05520273 101.48675104 109.16056357\n",
+      " 108.2791039 ]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "\n",
+    "\n",
+    "#plotting the flux values for gmvp, mcnp, and openmc:\n",
+    "flux_by_gmvp = np.array([1.92698e-1 ,6.72147e-2 , 2.21799e-2, 9.90646e-3, 3.39066e-3, 1.05629e-3])\n",
+    "flux_by_mcnp = np.array([1.9264e-1, 6.7242e-2, 2.2207e-2, 9.9066e-3, 3.4710e-3,1.0605e-3])\n",
+    "flux_by_openmc = np.squeeze(b_flux_array[0::10])\n",
+    "flux_by_analog = np.squeeze(b_noww_flux_array[0::10])\n",
+    "\n",
+    "y_dist = np.linspace(5,60,6)\n",
+    "\n",
+    "# rel error between openmc and gmvp:\n",
+    "ww_gmvp = flux_by_openmc / flux_by_gmvp\n",
+    "\n",
+    "# rel error between analog and gmvp:\n",
+    "analog_gmvp = flux_by_analog / flux_by_gmvp\n",
+    "\n",
+    "# the uncertainty in mcnp:\n",
+    "mcnp_rel_err = flux_by_mcnp / flux_by_gmvp\n",
+    "\n",
+    "# the uncertainty in the ww:\n",
+    "ww_rel_error = B_ww_results.get_values(value='rel_err')\n",
+    "ww_rel_err = np.squeeze(ww_rel_error[0::10])\n",
+    "\n",
+    "ww_uncertainty = abs((ww_rel_err * flux_by_openmc) / (flux_by_gmvp))\n",
+    "\n",
+    "# uncertainty in the analog:\n",
+    "analog_rel_error = B_noww_results.get_values(value='rel_err')\n",
+    "analog_rel_err = np.squeeze(analog_rel_error[0::10])\n",
+    "\n",
+    "analog_uncertainty = abs((analog_rel_err * flux_by_analog) / (flux_by_gmvp))\n",
+    "\n",
+    "# plotting the error bars for ww:\n",
+    "ax.errorbar(y_dist, \n",
+    "            ww_gmvp, \n",
+    "            yerr= ww_uncertainty, \n",
+    "            linewidth = 2.0,\n",
+    "            capsize = 4.0,\n",
+    "           color = 'chocolate')\n",
+    "\n",
+    "# plotting the error bars for analog:\n",
+    "analog_uncertainty = abs((analog_rel_err * flux_by_analog) / (flux_by_gmvp))\n",
+    "ax.errorbar([x-0.2 for x in y_dist], \n",
+    "            analog_gmvp, \n",
+    "            yerr= analog_uncertainty, \n",
+    "            linewidth = 2.0,\n",
+    "            capsize = 4.0,\n",
+    "            linestyle = '--',\n",
+    "           color = 'darkseagreen')\n",
+    "\n",
+    "# Organizing plot:\n",
+    "plt.title('Relative Flux of Problem 3Bii (y = 55cm, z = 5cm)')\n",
+    "plt.xlabel('x (cm)')\n",
+    "plt.ylabel('Flux Relative to GMVP')\n",
+    "plt.ylim(0.60, 1.5)\n",
+    "plt.xlim(0,62)\n",
+    "\n",
+    "plt.hlines(1, 0, 62, \n",
+    "           color = 'gray',\n",
+    "           linestyle= '--', \n",
+    "           alpha = 0.75, \n",
+    "           label= 'GMVP')\n",
+    "plt.plot(y_dist,\n",
+    "         ww_gmvp, \n",
+    "         '-s',\n",
+    "         label = 'OpenMC WW',\n",
+    "         color = 'chocolate')\n",
+    "plt.plot(y_dist,\n",
+    "         analog_gmvp, \n",
+    "         '--o',\n",
+    "         label = 'OpenMC Analog',\n",
+    "        color = 'darkseagreen')\n",
+    "plt.plot(y_dist, \n",
+    "        mcnp_rel_err,\n",
+    "        '--v', \n",
+    "         label = 'MCNP4B',\n",
+    "         color = 'steelblue')\n",
+    "\n",
+    "plt.legend(loc = 'lower left')\n",
+    "plt.grid(True, which=\"both\", alpha=0.5)\n",
+    "sns.set_theme(style=\"darkgrid\")\n",
+    "\n",
+    "plt.show\n",
+    "\n",
+    "print(ww_uncertainty * 100)\n",
+    "print(analog_uncertainty * 100)\n",
+    "\n",
+    "print(ww_rel_err * 100)\n",
+    "\n",
+    "print(ww_gmvp* 100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5dbc1103-3abe-441c-b93c-5bd6f6a9a1a8",
+   "metadata": {},
+   "source": [
+    "Relative Error for 3Cii:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "1d704b47-60c3-4512-8a99-e932e7a84bda",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[11.49575827 12.98310232 11.9842486   5.73083303 14.19414132 28.80183819]\n",
+      "[ 35.31733658  49.20115431  23.6988186   38.38935486 144.28837793\n",
+      " 250.62274256]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "\n",
+    "\n",
+    "#plotting the flux values for gmvp, mcnp, and openmc:\n",
+    "# plotting the flux values for gmvp, mcnp, openmc ww, and analog\n",
+    "flux_by_gmvp = np.array([3.44804e-4 ,2.91825e-4 , 2.05793e-4, 2.62086e-4, 1.05367e-4, 4.44962e-5])\n",
+    "flux_by_mcnp = np.array([3.4411e-4, 2.9050e-4, 2.0643e-4, 2.6187e-4, 1.0205e-4, 4.4155e-5])\n",
+    "flux_by_openmc = np.squeeze(c_flux_array[0::10])\n",
+    "flux_by_analog = np.squeeze(c_noww_flux_array[0::10])\n",
+    "\n",
+    "y_dist = np.linspace(5,60,6)\n",
+    "\n",
+    "\n",
+    "# relative error between ww and gmvp:\n",
+    "ww_gmvp = flux_by_openmc / flux_by_gmvp\n",
+    "\n",
+    "# relative error between analog and gmvp:\n",
+    "analog_gmvp = flux_by_openmc / flux_by_gmvp\n",
+    "\n",
+    "# the uncertainty in MCNP:\n",
+    "mcnp_rel_err = flux_by_mcnp / flux_by_gmvp\n",
+    "\n",
+    "# the uncertainty in the ww and analog values:\n",
+    "ww_rel_error = C_ww_results.get_values(value='rel_err')\n",
+    "ww_rel_err = np.squeeze(ww_rel_error[0::10])\n",
+    "\n",
+    "analog_rel_error = C_noww_results.get_values(value='rel_err')\n",
+    "analog_rel_err = np.squeeze(analog_rel_error[0::10])\n",
+    "\n",
+    "# plotting the error bars for WW:\n",
+    "ww_uncertainty = abs((ww_rel_err * flux_by_openmc) / (flux_by_gmvp))\n",
+    "ax.errorbar([x+0.35 for x in y_dist], \n",
+    "            ww_gmvp, \n",
+    "            yerr = ww_uncertainty, \n",
+    "            linewidth = 2.0,\n",
+    "            capsize = 4.0,\n",
+    "            color = 'chocolate')\n",
+    "\n",
+    "# plotting the error bars for Analog:\n",
+    "analog_uncertainty = abs((analog_rel_err * flux_by_analog) / (flux_by_gmvp))\n",
+    "ax.errorbar([x-0.35 for x in y_dist], \n",
+    "            analog_gmvp, \n",
+    "            yerr = analog_uncertainty, \n",
+    "            linewidth = 2.0,\n",
+    "            capsize = 4.0,\n",
+    "            color = 'darkseagreen')\n",
+    "\n",
+    "# Organizing plot:\n",
+    "plt.title('Relative Flux of Problem 3Cii (y = 55cm, z = 5cm)')\n",
+    "plt.xlabel('x (cm)')\n",
+    "plt.ylabel('Flux Relative to GMVP')\n",
+    "plt.ylim(-.5, 2.0)\n",
+    "plt.xlim(0,62)\n",
+    "\n",
+    "plt.hlines(1, 0, 62, \n",
+    "           color = 'gray',\n",
+    "           linestyle= '--', \n",
+    "           alpha = 0.75, \n",
+    "           label= 'GMVP')\n",
+    "plt.plot(y_dist,\n",
+    "         ww_gmvp, \n",
+    "         '-s',\n",
+    "         label = 'OpenMC WW',\n",
+    "        color = 'chocolate')\n",
+    "plt.plot(y_dist,\n",
+    "         analog_gmvp, \n",
+    "         '--o',\n",
+    "         label = 'OpenMC Analog',\n",
+    "         color = 'darkseagreen')\n",
+    "plt.plot(y_dist, \n",
+    "        mcnp_rel_err,\n",
+    "        '--v', \n",
+    "         label = 'MCNP4B',\n",
+    "        color = 'steelblue')\n",
+    "\n",
+    "plt.legend(loc = 'lower left')\n",
+    "plt.grid(True, which=\"both\", alpha=0.5)\n",
+    "sns.set_theme(style=\"darkgrid\")\n",
+    "\n",
+    "plt.show\n",
+    "\n",
+    "print(ww_uncertainty * 100)\n",
+    "print(analog_uncertainty * 100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "670831fc-d905-460b-bf54-981979b8d5a1",
+   "metadata": {},
+   "source": [
+    "### Plotting OpenMC WW vs GMVP:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "5cac205b-a5e0-4f52-8061-db8643765740",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 500x1000 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot 3Aii:\n",
+    "plt.figure(figsize=(5,10)) \n",
+    "fig, ax = plt.subplots()\n",
+    "\n",
+    "#plotting 3a W/ WW:\n",
+    "x = np.linspace(4.5,95.5,92)\n",
+    "y = a_flux_array.reshape(92)\n",
+    "a_ww = ax.plot(x,y, label = 'OpenMC WW 3A', color='olive')\n",
+    "\n",
+    "# plotting 3a gvmp values:\n",
+    "gmvp_x = np.linspace(5,95,10)\n",
+    "gmvp_y = np.array([8.61578e-0 , 2.16130e-0 , 8.93784e-1, 4.78052e-1,2.89424e-1,1.92698e-1,1.0482e-1,3.37544e-2,\n",
+    "                     1.08158e-2,3.39632e-3])\n",
+    "\n",
+    "a_gmvp = ax.plot(gmvp_x, \n",
+    "               gmvp_y,\n",
+    "               'kd',\n",
+    "               label = 'GMVP 3A')\n",
+    "\n",
+    "#Plotting 3b W/ WW:\n",
+    "x = (np.linspace(4.5,55.5,52))\n",
+    "y = b_flux_array.reshape(52)\n",
+    "b_ww = ax.plot(x,y, label = 'OpenMC WW 3B', color='coral')\n",
+    "\n",
+    "\n",
+    "# plotting 3b gmvp values:\n",
+    "gmvp_x = np.linspace(5,55,6)\n",
+    "gmvp_y = np.array([1.92698e-1 ,6.72147e-2 , 2.21799e-2, 9.90646e-3,3.39066e-3,1.05629e-3])\n",
+    "\n",
+    "b_gmvp = ax.plot(gmvp_x, \n",
+    "               gmvp_y, \n",
+    "               'kd', \n",
+    "               label = 'GMVP 3B')\n",
+    "\n",
+    "# plotting 3c W/ WW:\n",
+    "x = (np.linspace(4.5,55.5,52))\n",
+    "y = c_flux_array.reshape(52)\n",
+    "c_ww = ax.plot(x,y,label = 'OpenMC WW 3C', color='royalblue')\n",
+    "\n",
+    "# plotting 3c gmvp values:\n",
+    "gmvp_x = np.linspace(5,55,6)\n",
+    "gmvp_y = np.array([3.44804e-4 ,2.91825e-4 , 2.05793e-4, 2.62086e-4,1.05367e-4,4.44962e-5])\n",
+    "\n",
+    "c_gmvp = ax.plot(gmvp_x, \n",
+    "               gmvp_y, \n",
+    "               'kd', \n",
+    "               label = 'GMVP 3C')\n",
+    "\n",
+    "#scaling of plot:\n",
+    "plt.xlim(0,100)\n",
+    "plt.yscale(\"log\")\n",
+    "\n",
+    "#formatting of plot\n",
+    "plt.legend(loc='upper right')\n",
+    "plt.xlabel(\"Tally Position\")\n",
+    "plt.ylabel(\"Flux (n $cm^{-2}$ $s^{-1}$)\")\n",
+    "plt.title(\"Kobayashi Dog Leg Problem 3: OpenMC WW vs. GMVP\")\n",
+    "plt.legend(loc='lower left', bbox_to_anchor=(1, 0.5)) #puts the legend to the right side of the plot\n",
+    "plt.grid(True, which=\"both\", alpha=0.5)\n",
+    "sns.set_theme(style=\"darkgrid\")\n",
+    "\n",
+    "plt.show()  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "96b806f6-82e2-498b-8ce5-e97d13a5914f",
+   "metadata": {},
+   "source": [
+    "### Plotting OpenMC Analog vs OpenMC WW:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "e0eefde5-8b97-4620-aaf0-2962ad4a102a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 500x1000 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot 3Aii:\n",
+    "plt.figure(figsize=(5,10)) \n",
+    "fig, ax = plt.subplots()\n",
+    "\n",
+    "#plotting 3a W/ WW:\n",
+    "x = np.linspace(4.5,95.5,92)\n",
+    "y = a_flux_array.reshape(92)\n",
+    "a_ww = ax.plot(x,y, label = 'OpenMC WW 3A', color='olive')\n",
+    "\n",
+    "#plotting errors\n",
+    "yerr_a = a_std_array.reshape(92)\n",
+    "ax.fill_between(x,y+yerr_a,y-yerr_a, alpha=0.50, color='olive')\n",
+    "\n",
+    "#plotting 3a W/O WW FOR ANALOG RUN:\n",
+    "x = np.linspace(4.5,95.5,92)\n",
+    "y = a_noww_flux_array.reshape(92)\n",
+    "a_noww = ax.plot(x,\n",
+    "                 y, \n",
+    "                 label = 'OpenMC Analog 3A', \n",
+    "                 color ='green', \n",
+    "                 alpha = .5)\n",
+    "\n",
+    "#plotting errors\n",
+    "yerr_a = a_noww_std_array.reshape(92)\n",
+    "ax.fill_between(x,\n",
+    "                y+yerr_a,\n",
+    "                y-yerr_a, \n",
+    "                color ='green', \n",
+    "                alpha =.5)\n",
+    "\n",
+    "#Plotting for 3b W/ WW:\n",
+    "x = (np.linspace(4.5,55.5,52))\n",
+    "y = b_flux_array.reshape(52)\n",
+    "\n",
+    "b_ww = ax.plot(x,y, label = 'OpenMC WW 3B', color='coral')\n",
+    "\n",
+    "#plotting error bars:\n",
+    "yerr_b = b_std_array.reshape(52)\n",
+    "plt.fill_between(x,\n",
+    "                 y+yerr_b,\n",
+    "                 y-yerr_b,color = 'coral', \n",
+    "                 alpha=0.50)\n",
+    "\n",
+    "#Plotting 3b W/O WW for Analog Run:\n",
+    "x = (np.linspace(4.5,55.5,52))\n",
+    "y = b_noww_flux_array.reshape(52)\n",
+    "b_noww = ax.plot(x,\n",
+    "                 y, \n",
+    "                 label = 'OpenMC Analog 3B', \n",
+    "                 color = 'deeppink')\n",
+    "\n",
+    "#plotting error bars:\n",
+    "yerr_b_noww = b_noww_std_array.reshape(52)\n",
+    "ax.fill_between(x,\n",
+    "                y-yerr_b_noww,\n",
+    "                y+yerr_b_noww,\n",
+    "                color = 'deeppink', \n",
+    "                alpha=0.50)\n",
+    "\n",
+    "#Plotting for 3c W/ WW:\n",
+    "x = (np.linspace(4.5,55.5,52))\n",
+    "y = c_flux_array.reshape(52)\n",
+    "c_ww = ax.plot(x,\n",
+    "               y,\n",
+    "               label = 'OpenMC WW 3C', \n",
+    "               color='royalblue')\n",
+    "\n",
+    "#plotting error bars\n",
+    "yerr_c = c_std_array.reshape(52)\n",
+    "plt.fill_between(x,y+yerr_c,\n",
+    "                 y-yerr_c,\n",
+    "                 color ='royalblue')\n",
+    "\n",
+    "#Plotting W/O WW for Analog Run:\n",
+    "x = (np.linspace(4.5,55.5,52))\n",
+    "y = c_noww_flux_array.reshape(52)\n",
+    "c_noww = ax.plot( x,\n",
+    "                 y,\n",
+    "                 label = 'OpenMC Analog 3C', \n",
+    "                 color = 'darkblue')\n",
+    "\n",
+    "yerr_c_noww = c_noww_std_array.reshape(52)\n",
+    "plt.fill_between(x,\n",
+    "                 y-yerr_c_noww,\n",
+    "                 y+yerr_c_noww, \n",
+    "                 color ='darkblue', \n",
+    "                 alpha=0.50)\n",
+    "\n",
+    "\n",
+    "#scaling of plot:\n",
+    "plt.xlim(0,100)\n",
+    "plt.yscale(\"log\")\n",
+    "\n",
+    "#formatting of plot\n",
+    "plt.legend(loc='upper right')\n",
+    "plt.xlabel(\"Tally Position\")\n",
+    "plt.ylabel(\"Flux (n $cm^{-2}$ $s^{-1}$)\")\n",
+    "plt.title(\"Kobayashi Dog Leg Problem 3: OpenMC Analog vs. OpenMC WW\")\n",
+    "plt.legend(loc='lower left', bbox_to_anchor=(1, 0.5))\n",
+    "plt.grid(True, which=\"both\", alpha=0.5)\n",
+    "sns.set_theme(style=\"darkgrid\")\n",
+    "\n",
+    "plt.show()  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0678caeb-4398-41ae-8bfc-6e19240f34fe",
+   "metadata": {},
+   "source": [
+    "Creating voxel file to create plot.vti to generate in paraview:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "a5d8f016-df89-4614-bde6-934a4bb99d2f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# vox = openmc.Plot()\n",
+    "# vox.type = 'voxel'\n",
+    "# vox.width = (60 ,100, 60)\n",
+    "# vox.pixels = (400,400,400)\n",
+    "# vox.origin = (30,50,30) # make sure the origin is at the center of your shape\n",
+    "# vox.filename = 'voxel.h5'\n",
+    "# vox.color_by = 'material'\n",
+    "\n",
+    "# # now we need to store in a plots.xml file\n",
+    "\n",
+    "# plots = openmc.Plots()\n",
+    "# plots.append(vox)\n",
+    "# plots.export_to_xml()\n",
+    "\n",
+    "# openmc.plot_geometry()\n",
+    "\n",
+    "# # make sure you change cd to the correct directory and hit tab and it should auto fill\n",
+    "# # then you go to terminal and type in: openmc-voxel-to-vtk voxel.h5 or whatever the name is \n",
+    "# # now you have the vti file you can use to send out"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4b446491-999a-4814-b771-32235728522c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "py3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.15"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/models/Kobayashi_Dogleg/StoreBenchmarkData.ipynb b/models/Kobayashi_Dogleg/StoreBenchmarkData.ipynb
new file mode 100644
index 00000000..c783cd87
--- /dev/null
+++ b/models/Kobayashi_Dogleg/StoreBenchmarkData.ipynb
@@ -0,0 +1,376 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "27ecdeef-50ec-4f62-a2f4-079c77c769fc",
+   "metadata": {},
+   "source": [
+    "# Store benchmark data in a hdf5 file\n",
+    "\n",
+    "Store the GMVP flux and MCNP flux numbers for plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "78d6fe70-60ff-485f-acea-6acfcd7a6382",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import openmc_fusion_benchmarks as ofb\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import argparse\n",
+    "import helpers\n",
+    "\n",
+    "\"\"\"Parse and return commandline arguments\"\"\"\n",
+    "parser = argparse.ArgumentParser()\n",
+    "parser.add_argument(\"-x\", \"--xslib\", type=str,default=\"mgxs\")\n",
+    "parser.add_argument(\"-t\", \"--when\", type=str, default='n/a')\n",
+    "parser.add_argument(\"-w\", \"--where\", type=str, default='n/a')\n",
+    "\n",
+    "args = parser.parse_args()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "cea183cd-633b-4c6e-909d-b4fe4b99fda8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/tables/path.py:137: NaturalNameWarning: object name is not a valid Python identifier: 'Sample Point'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though\n",
+      "  check_attribute_name(name)\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/tables/path.py:137: NaturalNameWarning: object name is not a valid Python identifier: 'std. dev.'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though\n",
+      "  check_attribute_name(name)\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/tables/attributeset.py:457: NaturalNameWarning: object name is not a valid Python identifier: 'Sample Point_kind'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though\n",
+      "  check_attribute_name(name)\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/tables/attributeset.py:457: NaturalNameWarning: object name is not a valid Python identifier: 'Sample Point_meta'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though\n",
+      "  check_attribute_name(name)\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/tables/attributeset.py:457: NaturalNameWarning: object name is not a valid Python identifier: 'Sample Point_dtype'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though\n",
+      "  check_attribute_name(name)\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/tables/attributeset.py:457: NaturalNameWarning: object name is not a valid Python identifier: 'std. dev._kind'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though\n",
+      "  check_attribute_name(name)\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/tables/attributeset.py:457: NaturalNameWarning: object name is not a valid Python identifier: 'std. dev._meta'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though\n",
+      "  check_attribute_name(name)\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/tables/attributeset.py:457: NaturalNameWarning: object name is not a valid Python identifier: 'std. dev._dtype'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though\n",
+      "  check_attribute_name(name)\n"
+     ]
+    }
+   ],
+   "source": [
+    "#analytical method\n",
+    "# plotting 3a gvmp values:\n",
+    "analytical_x = np.linspace(5,95,10)\n",
+    "analytical_y = np.array([5.95659e-0 , 1.37185e-0 , 5.00871e-1, 2.52429e-1,1.50260e-1,9.91726e-2,4.22623e-2,1.14730e-2,\n",
+    "                     3.24662e-3,9.48324e-4])\n",
+    "analytical_std = np.array([0.0]*10)\n",
+    "\n",
+    "analytical_3a = pd.DataFrame({\"Sample Point\":analytical_x,\"mean\":analytical_y,\"std. dev.\":analytical_std})\n",
+    "\n",
+    "# plotting 3b gmvp values:\n",
+    "analytical_x = np.linspace(5,55,6)\n",
+    "analytical_y = np.array([9.91726e-2 ,2.45041e-2 , 4.54477e-3, 1.42960e-3,2.64846e-4,9.14210e-5])\n",
+    "analytical_std = np.array([0.0]*6)\n",
+    "\n",
+    "analytical_3b = pd.DataFrame({\"Sample Point\":analytical_x,\"mean\":analytical_y,\"std. dev.\":analytical_std})\n",
+    "\n",
+    "# plotting 3c gmvp values:\n",
+    "analytical_x = np.linspace(5,55,6)\n",
+    "analytical_y = np.array([3.27058e-5 ,2.68415e-5 , 1.70019e-5, 3.37981e-5,6.04893e-6,3.36460e-6])\n",
+    "analytical_std = np.array([0.0]*6)\n",
+    "\n",
+    "analytical_3c = pd.DataFrame({\"Sample Point\":analytical_x,\"mean\":analytical_y,\"std. dev.\":analytical_std})\n",
+    "\n",
+    "\n",
+    "ofb.to_hdf(analytical_3a, \"Kobayashi_Dogleg_benchmark.h5\", \"Problem_I_analytical_3A\", \"mgxs\",\n",
+    "           \"Sample Point\", \"results_database\",\n",
+    "           when = 'n/a', where = 'n/a', code_version = None,\n",
+    "           batches = None, particles_per_batch = None, literature = 'n/a')\n",
+    "\n",
+    "ofb.to_hdf(analytical_3b, \"Kobayashi_Dogleg_benchmark.h5\", \"Problem_I_analytical_3B\", \"mgxs\",\n",
+    "           \"Sample Point\", \"results_database\",\n",
+    "           when = 'n/a', where = 'n/a', code_version = None,\n",
+    "           batches = None, particles_per_batch = None, literature = 'n/a')\n",
+    "\n",
+    "ofb.to_hdf(analytical_3c, \"Kobayashi_Dogleg_benchmark.h5\", \"Problem_I_analytical_3C\", \"mgxs\",\n",
+    "           \"Sample Point\", \"results_database\",\n",
+    "           when = 'n/a', where = 'n/a', code_version = None,\n",
+    "           batches = None, particles_per_batch = None, literature = 'n/a')\n",
+    "\n",
+    "\n",
+    "\n",
+    "# plotting 3a gvmp values:\n",
+    "gmvp_x = np.linspace(5,95,10)\n",
+    "gmvp_y = np.array([5.93798e-0 , 1.37272e-0 , 5.01097e-1, 2.52517e-1,1.50305e-1,9.91991e-2,4.22728e-2,1.14730e-2,\n",
+    "                     3.24736e-3,9.48534e-4])\n",
+    "gmvp_std = np.array([0.306,0.052,0.032,0.027,0.025,0.024,0.023,0.022,0.021,0.021])\n",
+    "gmvp_std = np.array([x*y/100 for x,y in zip(gmvp_y,gmvp_std)])\n",
+    "\n",
+    "gmvp_3a = pd.DataFrame({\"Sample Point\":gmvp_x,\"mean\":gmvp_y,\"std. dev.\":gmvp_std})\n",
+    "\n",
+    "# plotting 3b gmvp values:\n",
+    "gmvp_x = np.linspace(5,55,6)\n",
+    "gmvp_y = np.array([9.91991e-2 ,2.45184e-2 , 4.54737e-3, 1.43035e-3,2.64959e-4,9.14525e-5])\n",
+    "gmvp_std = np.array([0.024,0.035,0.037,0.034,0.032,0.029])\n",
+    "gmvp_std = np.array([x*y/100 for x,y in zip(gmvp_y,gmvp_std)])\n",
+    "\n",
+    "gmvp_3b = pd.DataFrame({\"Sample Point\":gmvp_x,\"mean\":gmvp_y,\"std. dev.\":gmvp_std})\n",
+    "\n",
+    "# plotting 3c gmvp values:\n",
+    "gmvp_x = np.linspace(5,55,6)\n",
+    "gmvp_y = np.array([3.27087e-5 ,2.68518e-5 , 1.70104e-5, 3.38219e-5,6.05329e-6,3.36587e-6])\n",
+    "gmvp_std = np.array([0.045,0.047,0.047,0.043,0.042,0.028])\n",
+    "gmvp_std = np.array([x*y/100 for x,y in zip(gmvp_y,gmvp_std)])\n",
+    "    \n",
+    "gmvp_3c = pd.DataFrame({\"Sample Point\":gmvp_x,\"mean\":gmvp_y,\"std. dev.\":gmvp_std})\n",
+    "\n",
+    "\n",
+    "ofb.to_hdf(gmvp_3a, \"Kobayashi_Dogleg_benchmark.h5\", \"Problem_I_gmvp_3A\", \"mgxs\",\n",
+    "           \"Sample Point\", \"results_database\",\n",
+    "           when = 'n/a', where = 'n/a', code_version = None,\n",
+    "           batches = None, particles_per_batch = None, literature = 'n/a')\n",
+    "\n",
+    "ofb.to_hdf(gmvp_3b, \"Kobayashi_Dogleg_benchmark.h5\", \"Problem_I_gmvp_3B\", \"mgxs\",\n",
+    "           \"Sample Point\", \"results_database\",\n",
+    "           when = 'n/a', where = 'n/a', code_version = None,\n",
+    "           batches = None, particles_per_batch = None, literature = 'n/a')\n",
+    "\n",
+    "ofb.to_hdf(gmvp_3c, \"Kobayashi_Dogleg_benchmark.h5\", \"Problem_I_gmvp_3C\", \"mgxs\",\n",
+    "           \"Sample Point\", \"results_database\",\n",
+    "           when = 'n/a', where = 'n/a', code_version = None,\n",
+    "           batches = None, particles_per_batch = None, literature = 'n/a')\n",
+    "\n",
+    "\n",
+    "gmvp_x = np.linspace(5,95,10)\n",
+    "gmvp_y = np.array([8.61578e-0 , 2.16130e-0 , 8.93784e-1, 4.78052e-1,2.89424e-1,1.92698e-1,1.0482e-1,3.37544e-2,\n",
+    "                     1.08158e-2,3.39632e-3])\n",
+    "gmvp_std = np.array([0.044,0.010,0.008,0.008,0.009,0.010,0.077,0.107,0.163,0.275])\n",
+    "gmvp_std = np.array([x*y/100 for x,y in zip(gmvp_y,gmvp_std)])\n",
+    "\n",
+    "gmvp_3a = pd.DataFrame({\"Sample Point\":gmvp_x,\"mean\":gmvp_y,\"std. dev.\":gmvp_std})\n",
+    "\n",
+    "# plotting 3b gmvp values:\n",
+    "gmvp_x = np.linspace(5,55,6)\n",
+    "gmvp_y = np.array([1.92698e-1 ,6.72147e-2 , 2.21799e-2, 9.90646e-3,3.39066e-3,1.05629e-3])\n",
+    "gmvp_std = np.array([0.010,0.019,0.028,0.033,0.195,0.327])\n",
+    "gmvp_std = np.array([x*y/100 for x,y in zip(gmvp_y,gmvp_std)])\n",
+    "\n",
+    "gmvp_3b = pd.DataFrame({\"Sample Point\":gmvp_x,\"mean\":gmvp_y,\"std. dev.\":gmvp_std})\n",
+    "\n",
+    "# plotting 3c gmvp values:\n",
+    "gmvp_x = np.linspace(5,55,6)\n",
+    "gmvp_y = np.array([3.44804e-4 ,2.91825e-4 , 2.05793e-4, 2.62086e-4,1.05367e-4,4.44962e-5])\n",
+    "gmvp_std = np.array([0.793,0.659,0.529,0.075,0.402,0.440])\n",
+    "gmvp_std = np.array([x*y/100 for x,y in zip(gmvp_y,gmvp_std)])\n",
+    "\n",
+    "gmvp_3c = pd.DataFrame({\"Sample Point\":gmvp_x,\"mean\":gmvp_y,\"std. dev.\":gmvp_std})\n",
+    "\n",
+    "\n",
+    "ofb.to_hdf(gmvp_3a, \"Kobayashi_Dogleg_benchmark.h5\", \"Problem_II_gmvp_3A\", \"mgxs\",\n",
+    "           \"Sample Point\", \"results_database\",\n",
+    "           when = 'n/a', where = 'n/a', code_version = None,\n",
+    "           batches = None, particles_per_batch = None, literature = 'n/a')\n",
+    "\n",
+    "ofb.to_hdf(gmvp_3b, \"Kobayashi_Dogleg_benchmark.h5\", \"Problem_II_gmvp_3B\", \"mgxs\",\n",
+    "           \"Sample Point\", \"results_database\",\n",
+    "           when = 'n/a', where = 'n/a', code_version = None,\n",
+    "           batches = None, particles_per_batch = None, literature = 'n/a')\n",
+    "\n",
+    "ofb.to_hdf(gmvp_3c, \"Kobayashi_Dogleg_benchmark.h5\", \"Problem_II_gmvp_3C\", \"mgxs\",\n",
+    "           \"Sample Point\", \"results_database\",\n",
+    "           when = 'n/a', where = 'n/a', code_version = None,\n",
+    "           batches = None, particles_per_batch = None, literature = 'n/a')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "aae2b89f-1fd7-41ea-aa85-0881582c62f2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#3A in MCNP\n",
+    "mcnp_x = np.linspace(5,95,10)\n",
+    "a3_MCNP = np.array([8.6410e-0, 2.1601e-0, 8.9324e-1,4.7776e-1,2.8929e-1, 1.9264e-1, 1.0543e-1, 3.3665e-2, \n",
+    "                    1.0723e-2,3.3753e-3])\n",
+    "mcnp_std = np.array([0.0]*10)\n",
+    "\n",
+    "mcnp_3a = pd.DataFrame({\"Sample Point\":mcnp_x,\"mean\":a3_MCNP,\"std. dev.\":mcnp_std})\n",
+    "\n",
+    "#3B in MCNP\n",
+    "mcnp_x = np.linspace(5,55,6)\n",
+    "b3_MCNP = np.array([1.9264e-1, 6.7242e-2, 2.2207e-2, 9.9066e-3, 3.4710e-3,1.0605e-3])\n",
+    "mcnp_std = np.array([0.0]*6)\n",
+    "\n",
+    "mcnp_3b = pd.DataFrame({\"Sample Point\":mcnp_x,\"mean\":b3_MCNP,\"std. dev.\":mcnp_std})\n",
+    "\n",
+    "#3C in MCNP\n",
+    "mcnp_x = np.linspace(5,55,6)\n",
+    "c3_MCNP = np.array([3.4411e-4, 2.9050e-4, 2.0643e-4, 2.6187e-4, 1.0205e-4, 4.4155e-5])\n",
+    "mcnp_std = np.array([0.0]*6)\n",
+    "\n",
+    "mcnp_3c = pd.DataFrame({\"Sample Point\":mcnp_x,\"mean\":c3_MCNP,\"std. dev.\":mcnp_std})\n",
+    "\n",
+    "\n",
+    "\n",
+    "ofb.to_hdf(mcnp_3a, \"Kobayashi_Dogleg_benchmark.h5\", \"Problem_II_mcnp_3A\", \"mgxs\",\n",
+    "           \"Sample Point\", \"results_database\",\n",
+    "           when = 'n/a', where = 'n/a', code_version = None,\n",
+    "           batches = None, particles_per_batch = None, literature = 'n/a')\n",
+    "\n",
+    "ofb.to_hdf(mcnp_3b, \"Kobayashi_Dogleg_benchmark.h5\", \"Problem_II_mcnp_3B\", \"mgxs\",\n",
+    "           \"Sample Point\", \"results_database\",\n",
+    "           when = 'n/a', where = 'n/a', code_version = None,\n",
+    "           batches = None, particles_per_batch = None, literature = 'n/a')\n",
+    "\n",
+    "ofb.to_hdf(mcnp_3c, \"Kobayashi_Dogleg_benchmark.h5\", \"Problem_II_mcnp_3C\", \"mgxs\",\n",
+    "           \"Sample Point\", \"results_database\",\n",
+    "           when = 'n/a', where = 'n/a', code_version = None,\n",
+    "           batches = None, particles_per_batch = None, literature = 'n/a')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "05cfefd4-32c9-45a1-ba87-6d223cdd834b",
+   "metadata": {},
+   "source": [
+    "### Test that the output can be read"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "957c5b57-de60-4040-9818-eba5290f47cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Info:\n",
+      " When: n/a\n",
+      " Where: n/a\n",
+      " Code version: n/a\n",
+      " XS library: mgxs\n",
+      " Literature: n/a\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Sample Point</th>\n",
+       "      <th>3b</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>0.192640</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>15.0</td>\n",
+       "      <td>0.067242</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>25.0</td>\n",
+       "      <td>0.022207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>35.0</td>\n",
+       "      <td>0.009907</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>45.0</td>\n",
+       "      <td>0.003471</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>55.0</td>\n",
+       "      <td>0.001061</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Sample Point        3b\n",
+       "0           5.0  0.192640\n",
+       "1          15.0  0.067242\n",
+       "2          25.0  0.022207\n",
+       "3          35.0  0.009907\n",
+       "4          45.0  0.003471\n",
+       "5          55.0  0.001061"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "experiment_file = ofb.ResultsFromDatabase(filename='Kobayashi_Dogleg_benchmark.h5', path='results_database')\n",
+    "experiment_file.print_all_info()\n",
+    "results = experiment_file.get_tally_dataframe(tally_name='Problem_II_mcnp_3b')\n",
+    "\n",
+    "results\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "275d86f7-7798-4ff4-b4f4-d38325102727",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.15"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/models/Kobayashi_Dogleg/helpers.py b/models/Kobayashi_Dogleg/helpers.py
new file mode 100644
index 00000000..74967471
--- /dev/null
+++ b/models/Kobayashi_Dogleg/helpers.py
@@ -0,0 +1,4 @@
+detector_volume = 0.01
+case_list = ['3A', '3B', '3C']
+problem_list = ['Problem_I','Problem_II']
+
diff --git a/models/Kobayashi_Dogleg/mgxs_Problem_II.h5 b/models/Kobayashi_Dogleg/mgxs_Problem_II.h5
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diff --git a/models/Kobayashi_Dogleg/openmc_model.py b/models/Kobayashi_Dogleg/openmc_model.py
new file mode 100644
index 00000000..fde948da
--- /dev/null
+++ b/models/Kobayashi_Dogleg/openmc_model.py
@@ -0,0 +1,381 @@
+#!/usr/bin/env python3
+import numpy as np
+import argparse
+
+import openmc
+from openmc_fusion_benchmarks import from_irdff as irdff
+import openmc.lib
+import os
+from pathlib import Path
+import glob
+#import pandas as pd
+import openmc.mgxs as mgxs
+
+def _parse_args():
+    """Parse and return commandline arguments"""
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-b", "--batches", type=int, default=20)
+    parser.add_argument("-p", "--particles", type=int, default=int(1e7))
+    parser.add_argument("-s", "--threads", type=int,default=5)
+    parser.add_argument("-c", "--cwd", type=str)
+    parser.add_argument("-I", "--Problem_I", action='store_true',default=False)
+    parser.add_argument("-w", "--weight_windows",action='store_true',default=False)
+
+    args = parser.parse_args()
+
+    return args
+
+
+def gen_ww(tally_id):
+
+    openmc.lib.init([])
+    openmc.lib.simulation_init()
+
+    tally = openmc.lib.tallies[tally_id]
+
+    wws = openmc.lib.WeightWindows.from_tally(tally)
+
+    iterations = 10
+    openmc.lib.settings.particles = int(1e6)
+    n_batches = openmc.lib.settings.get_batches()
+
+    for i in range(iterations):
+
+        openmc.lib.run() #run the simulation
+
+        os.rename(f'statepoint.{n_batches}.h5', f'statepoint.{n_batches}.{i}.h5')
+        print("Updating")
+        wws.update_magic(tally, value='rel_err', threshold=1.0) #updates the weight window with the latest tally results
+        print("Done updating")
+
+        openmc.lib.settings.weight_windows_on = True #turns on weight windows to ensure they are used
+        if i % 2 == 0: #this doubles the amount of particles were iteration
+            openmc.lib.settings.particles *= 2
+        openmc.lib.reset()
+
+        print("Writing weight windows")
+        #write out the weight window maps for plotting later
+        openmc.lib.export_weight_windows(filename = f'weight_windows{i}.h5')
+
+    openmc.lib.finalize()
+
+def main():
+    """Analysis of Kobayashi Dogleg benchmark"""
+
+    #This function builds the geeometry & materials, and can
+    # be used to generate the weight windows files needed for
+    # Problems 3Ci and 3Cii in the Kobayashi Dogleg benchmark.
+    # The first run-through should generate the weight windows,
+    # and the second should generate the 'production' runs.
+
+    # The production runs follow the examples of this library
+    # in returning the model.run call using subprocess. However,
+    # the weight windows generation was written using openmc.lib
+    # so that happens here within main() and returns nothing
+
+
+    # Parse commandline arguments
+    args = _parse_args()
+
+    # Instantiate Model object
+    model = openmc.Model()
+
+    # define materials
+
+    #Make a 1-group object
+    # the energy group boundaries in eV
+    groups = mgxs.EnergyGroups(group_edges = np.array([0., 20.0e6]))
+
+
+    ############################################################################
+    # Build Universe
+
+    # for my universe cell
+    plane1 = openmc.XPlane(x0= -0.0, boundary_type= 'reflective')
+    plane2 = openmc.XPlane(x0= +60, boundary_type= 'vacuum')
+    plane3 = openmc.YPlane(y0= -0.0, boundary_type= 'reflective')
+    plane4 = openmc.YPlane(y0= +100, boundary_type= 'vacuum')
+    plane5 = openmc.ZPlane(z0= -0.0, boundary_type= 'reflective')
+    plane6 = openmc.ZPlane(z0= +60, boundary_type= 'vacuum')
+
+
+    box = +plane1 & -plane2 & +plane3 & -plane4 & +plane5 & -plane6
+
+    Ucell = openmc.Cell(name='base universe', region = box)
+
+    # domain: the domain for spatial homogenization aka
+    # averaging the cross sections over volume and flux spectrum
+
+    total = mgxs.TotalXS(domain=Ucell, energy_groups=groups)
+    absorption = mgxs.AbsorptionXS(domain=Ucell, energy_groups=groups)
+    scattering = mgxs.ScatterXS(domain=Ucell, energy_groups=groups)
+
+    ebins = [1e-5, 20.0e6]
+    groups = openmc.mgxs.EnergyGroups(group_edges=ebins)
+
+    ############################################################################
+    # Build Multi-group cross-sections
+
+    #Problem_I = no scattering (only absorption)
+    #Problem_II = 50% scattering in absorber
+
+
+    void_sigma_a = 0.5e-4
+    void_sigma_s = 0.5e-4
+    if args.Problem_I:
+        void_sigma_s = 0
+        void_sigma_a = 1.0e-4
+
+    void_mat_data = openmc.XSdata('void', groups)
+    void_mat_data.order = 0
+    void_mat_data.set_total([void_sigma_a + void_sigma_s])
+    void_mat_data.set_absorption([void_sigma_a])
+    void_mat_data.set_scatter_matrix(
+        np.rollaxis(np.array([[[void_sigma_s]]]), 0, 3))
+
+    absorber_sigma_a = 0.05
+    absorber_sigma_s = 0.05
+    if args.Problem_I:
+        absorber_sigma_a = 0.1
+        absorber_sigma_s = 0.0
+
+    absorber_mat_data = openmc.XSdata('absorber', groups)
+    absorber_mat_data.order = 0
+    absorber_mat_data.set_total([absorber_sigma_a + absorber_sigma_s])
+    absorber_mat_data.set_absorption([absorber_sigma_a])
+    absorber_mat_data.set_scatter_matrix(
+        np.rollaxis(np.array([[[absorber_sigma_s]]]), 0, 3))
+
+    source_sigma_a = 0.05
+    source_sigma_s = 0.05
+    if args.Problem_I:
+        source_sigma_a = 0.1
+        source_sigma_s = 0.0
+
+    source_mat_data = openmc.XSdata('source', groups)
+    source_mat_data.order = 0
+    source_mat_data.set_total([source_sigma_a + source_sigma_s])
+    source_mat_data.set_absorption([source_sigma_a])
+    source_mat_data.set_scatter_matrix(
+        np.rollaxis(np.array([[[source_sigma_s]]]), 0, 3))
+
+    #Output the cross-sections we just created to a hdf5 file, which we
+    # will later tell OpenMC to load
+    mg_cross_sections_file = openmc.MGXSLibrary(groups)
+    mg_cross_sections_file.add_xsdatas(
+        [source_mat_data, void_mat_data, absorber_mat_data])
+    if args.Problem_I:
+        mg_cross_sections_file.export_to_hdf5("mgxs_Problem_I.h5")
+    else:
+        mg_cross_sections_file.export_to_hdf5("mgxs_Problem_II.h5")
+    # Define Macroscopic Materials
+
+    source_data = openmc.Macroscopic('source')
+    void_data = openmc.Macroscopic('void')
+    absorber_data = openmc.Macroscopic('absorber')
+
+    Source = openmc.Material(name='source_mat')
+    Source.set_density('macro', 1.0)
+    Source.add_macroscopic('source')
+
+    Absorber = openmc.Material(name='absorber_mat')
+    Absorber.set_density('macro', 1.0)
+    Absorber.add_macroscopic('absorber')
+
+    Void = openmc.Material(name='void_mat')
+    Void.set_density('macro', 1.0)
+    Void.add_macroscopic('void')
+
+    # Instantiate a Materials collection and export to XML
+    materials = openmc.Materials([Source,Absorber,Void])
+    if args.Problem_I:
+        materials.cross_sections = "mgxs_Problem_I.h5"
+    else:
+        materials.cross_sections = "mgxs_Problem_II.h5"
+    materials.export_to_xml()
+    model.materials = materials
+
+
+    ###############################################################################
+    # Build Geometry
+
+     #Produce the void dog leg regions:
+
+    #Void Segment 1:
+
+    plane7 = openmc.XPlane(x0= +10, boundary_type= 'transmission')
+    plane12 = openmc.YPlane(y0= +10, boundary_type= 'transmission')
+    plane8 = openmc.YPlane(y0= +60, boundary_type= 'transmission')
+    plane9 = openmc.ZPlane(z0= +10, boundary_type= 'transmission')
+
+    segment1 = +plane1 & -plane7 & +plane12 & -plane8 & +plane5 & -plane9 #(0,10,10,60,0,10)
+
+    #Void Segment 2:
+
+    plane10 = openmc.XPlane(x0= +40, boundary_type= 'transmission')
+    plane11 = openmc.YPlane(y0= +50, boundary_type= 'transmission')
+
+    segment2 = +plane7 & -plane10 & +plane11 & -plane8 & +plane5 & -plane9 #(10,40,50,60,0,10)
+
+
+    #Void Segment 3:
+    # can keep parallelpiped since all transmission boundaries
+    segment3 = openmc.model.RectangularParallelepiped(30,40,50,60,10,40)
+
+    #Void Segment 4:
+    # can keep parallelpiped since all transmission boundaries
+    segment4 = openmc.model.RectangularParallelepiped(30,40,60,99.999,30,40)
+
+    box2 = +plane1 & -plane7 & +plane3 & -plane12 & +plane5 & -plane9 #(0,10,0,10,0,10)
+
+    box0 = +plane1 & -plane2 & +plane3 & -plane4 & +plane5 & -plane6
+
+
+    source_cell = openmc.Cell(fill = Source,
+                          region = box2,
+                          name = 'source region')
+
+    void_cell = openmc.Cell(fill = Void,
+                            region = (segment1 | segment2 | -segment3 | -segment4),
+                            name = 'void region')
+
+    absorber_cell = openmc.Cell(fill = Absorber,
+                                region = box0 & ~void_cell.region & ~source_cell.region,
+                                name = 'absorber region')
+
+
+    # Fill the Cell with the Material
+    Ucell.fill = Void
+
+    # Create root universe
+    root_universe = openmc.Universe(name='root universe',
+                                    cells=[source_cell, void_cell, absorber_cell])
+
+    # Create Geometry and set root Universe
+    geometry = openmc.Geometry(root_universe)
+    geometry.merge_surfaces=True
+
+    ## Export to "geometry.xml"
+    geometry.export_to_xml()
+    model.geometry = geometry
+
+    ###############################################################################
+    # Define problem settings
+
+    # Indicate how many particles to run
+    settings = openmc.Settings(run_mode='fixed source')
+    settings.energy_mode = "multi-group"
+    settings.batches = args.batches
+    settings.particles = args.particles
+    # create an initial uniform spatial source distribution
+    bounds = [0,0,0,10,10,10] # match the geometry bounds for my source [xmin,ymin,zmin,xmax,ymax,zmax]
+    uniform_dist = openmc.stats.Box(bounds[:3], bounds[3:])
+    energy_mono = openmc.stats.Discrete([1.0], [1.0]) # specifying a monenergentic source
+    settings.source = openmc.IndependentSource(energy = energy_mono, space = uniform_dist)
+    settings.output = {'tallies': False}
+
+    ############################################################################
+    # define tallies
+
+    model.tallies = openmc.Tallies()
+
+    if args.weight_windows:
+
+        geo_mesh = openmc.RegularMesh()
+        geo_mesh.dimension = [60,100,60]
+        geo_mesh.lower_left = [0,0,0]
+        geo_mesh.upper_right =[60,100,60]
+
+        geo_mesh_filter = openmc.MeshFilter(geo_mesh)
+        flux_tally = openmc.Tally(name= 'Flux Tally')
+        flux_tally.filters = [geo_mesh_filter]
+        flux_tally.scores = ["flux"]
+
+        # Set ID number to access during openmc run:
+        flux_tally.id = 4
+        model.tallies.append(flux_tally)
+        #must export to xml so it gets picked up in the function above
+        model.tallies.export_to_xml()
+
+
+    else:
+        a_mesh = openmc.RegularMesh()
+        a_mesh.dimension = [1,10,1] # number of bins
+        a_mesh.lower_left = [4.5, 4.5, 4.5] # physical "corners" of mesh
+        a_mesh.upper_right =[5.5, 95.5, 5.5]
+
+        b_mesh = openmc.RegularMesh()
+        b_mesh.dimension = [6,1,1]
+        b_mesh.lower_left = [4.5 , 54.5 , 4.5]
+        b_mesh.upper_right =[55.5, 55.5, 5.5]
+
+        c_mesh = openmc.RegularMesh()
+        c_mesh.dimension = [6,1,1]
+        c_mesh.lower_left = [4.5, 94.5, 34.5]
+        c_mesh.upper_right =[55.5, 95.5 , 35.5]
+
+        a_mesh_filter = openmc.MeshFilter(a_mesh)
+        b_mesh_filter = openmc.MeshFilter(b_mesh)
+        c_mesh_filter = openmc.MeshFilter(c_mesh)
+
+        tallyname = 'Problem_II_3A'
+        if args.Problem_I:
+            tallyname =  'Problem_I_3A'
+        a_tally = openmc.Tally(name = tallyname)
+        a_tally.filters = [a_mesh_filter]
+        a_tally.scores = ['flux']
+
+        tallyname = 'Problem_II_3B'
+        if args.Problem_I:
+            tallyname = 'Problem_I_3B'
+        b_tally = openmc.Tally(name = tallyname)
+        b_tally.filters = [b_mesh_filter]
+        b_tally.scores = ['flux']
+
+        tallyname = 'Problem_II_3C'
+        if  args.Problem_I :
+            tallyname = 'Problem_I_3C'
+        c_tally = openmc.Tally(name = tallyname)
+        c_tally.filters = [c_mesh_filter]
+        c_tally.scores = ['flux']
+
+        model.tallies.extend([a_tally,b_tally,c_tally])
+        #model.tallies.export_to_xml()
+
+    model.settings = settings
+    settings.export_to_xml()
+
+    # define the folder names for storing the statepoints
+    if args.Problem_I:
+        cwd = 'Problem_I/'
+    else:
+        cwd = 'Problem_II/'
+
+    Path(cwd).mkdir(exist_ok=True)
+
+    if args.weight_windows:
+
+        ############################################################################
+        # Switch for generating weight windows with the Magic Method
+        # or for running with the generated weight windows
+
+        gen_ww(4) #use the tally id defined above
+
+        for j in glob.glob("*.xml"):
+            os.rename(j,cwd+j)
+        for j in glob.glob("*.h5"):
+            os.rename(j,cwd+j)
+
+        return 0
+
+    else:
+        #Add the weight windows information to settings
+        settings.weight_windows_file='weight_windows9.h5'
+        model.settings = settings
+
+        return model.run(cwd=cwd, threads=args.threads)
+
+
+
+if __name__ == "__main__":
+    main()
diff --git a/models/Kobayashi_Dogleg/postprocessing.ipynb b/models/Kobayashi_Dogleg/postprocessing.ipynb
new file mode 100644
index 00000000..8d349017
--- /dev/null
+++ b/models/Kobayashi_Dogleg/postprocessing.ipynb
@@ -0,0 +1,499 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Kobayayashi Dogleg benchmark analysis \n",
+    "The *Kobayashi Dogleg* is one of several benchmarks proposed in a neutronics benchmark manuscript, comparing Monte Carlo methods to deterministic methods [1]. \\\n",
+    "Monte Carlo results are compared to the deterministic and analytic calculations. \\\n",
+    "This uses a 1-group artificial set of scattering and absorption cross-sections. \\\n",
+    "\n",
+    "In Problem I, there is an asborption probablity inside the shielding material and source material, and a minimal probability of absorption within the duct volume. \\\n",
+    "\n",
+    "In Problem II, there is both a scattering and absorption probability inside the shielding material and source material, where there is equal probability of scattering and absorption within all 3 materials. \n",
+    "\n",
+    "In this benchmark, the _weight windows_ variance reduction technique is used, where thel weight windows file is produced with the internal OpenMC Magic Method implementation [2].\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import openmc_fusion_benchmarks as ofb\n",
+    "import openmc\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.colors import LogNorm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Extract experimental and codes results from `results_database`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# read benchmark data\n",
+    "experiment_file = ofb.ResultsFromDatabase('Kobayashi_Dogleg_benchmark.h5', path='results_database')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# read openmc results in results_database/\n",
+    "openmc_mgxs_file = ofb.ResultsFromDatabase('openmc-0-14-1_mgxs.h5', path='results_database')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Flux analysis\n",
+    "There is an analytical expectation only when the total cross-section is equal to the absorption cross-section. There is also a deterministic model, GMVP, that can produce flux estimates when scattering cross-sections are non-zero.  Finally, there is a MCNP monte-carlo model that is most similar to the OpenMC approach."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# initialize reaction rate plots\n",
+    "tally_list = ['3A', '3B', '3C']\n",
+    "problem_labels = ['Problem_I', 'Problem_II']\n",
+    "ylabel = 'Flux'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3A Problem_I\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3A Problem_II\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3B Problem_I\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3B Problem_II\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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x/+ZHRNSQfNXOmBDVBmsPXMLp9AKonR3g5KBEabkBBSXlCNDcWG8PE79OnjwZa9asQXx8PA4ePIh7770XOp0OO3fuxIwZMzBq1Khab9PZ2Rnbtm1DTEwMoqKisHXrVmzevBnz58+Hj4+PFb4F1RbDmJ3jjNNERMCd/h6YOSAUxy5dx+ELuSjW3xgjNiTcH93beNrNz0OlUoktW7bgX//6F7744gt88803aNmyJfr27YsuXbrUeZvbtm3D9OnTMWfOHKjVaiQkJGDBggUNXD3VlSQ40q9aWq0WGo0G+fn5sj8OSafTmQbwVwzEP5WuxdoDl5CuLYG7kwOcVUqUlBlQWFoOf48bvwkGqZWVPkdEJKeSkhKkpqaibdu2cHZu+JDEKwX/LzY2Fl9//TUKCwvlLqXJseQ8tjRHsGfMTt064/TN8+tUjJFYe+AS4u4OlLFKIiLbkyQJjg7NO4SRfeEAfgtERkYiLCwMiYmJcpdiUjHjdFtvt2pnnL6WX4LfL9vueWxERERUe+wZs8ChQ4dkv0x5s9rMOH00jWGMiIioMWPPmB0qM9ZixumyckBRczsiImqaVq9ezfFidoBhzA6pFDdmnC4pM9TYrrTcABeVA2CsuR0RERHJh2HMDtVmxukeQY3n8ioRERFVxjBmpyydcfqu1gxjREREjRkH8NshnU4HNzc3jO7ig/VHr+Lkletwd1LCyUGB0nIjCksN8FM7YnQXH7hK5XKXS0RERDVgGLNDfn5+pr8r3DzhFNARXX3bYGZhGhLdg3A88xJKr53GEt11+YokIiIiizCM2Tmj7jqKUw5ggDYVEV4t0D/9PP6XmSl3WURERGQhhjE74erqanZ7cnlGBoy5eab3mbNnw5iXh5h27TFn8xbTckXLFnDw9TVtg4iIiBoXhjE7IUmS2XMlzz8bj9LTpyu1M+blIf3RR03vnTp2RLuNG2xRIhEREdUB76a0U+roIRa18xgabeVKiIiIqD4YxuyUz4wZ8H5qds1tnn4K3tOn26giIiIiqguGMTvmM2MGWsTGVrmuRVwcgxgRNUvFJ5JxMSYWxSeS5S6FyCIMY3ZOGAyAJN14Aaa/CwPnFyOi5il/40YUHTiA/E2bZK3j2LFjGDZsGDw8PODu7o6BAwfif//7n2n96tWrIUkS9u7diyeeeAItW7aEh4cHJk+ejLy8vErb27p1K+699164ublBrVZj+PDh+OOPP8zaxMbGwt3dHVeuXMHo0aPh7u4OHx8fPP/88zAY/v/ReBcuXIAkSXjzzTeRmJiIdu3awdXVFUOGDEFaWhqEEHjllVfQunVruLi4YNSoUcjNza2ypvvuuw9qtRoeHh6IjIzEF198cdtjExISghEjRmDPnj3o2bMnXFxc0KVLF+zZswcA8O2336JLly5wdnZGREQEjh07Vmkb69evR1hYGJydndG5c2d89913iI2NRUhIiKlNQkICFAoFdu3aZfbZadOmwdHREcePHzcte//99xEeHg5XV1d4eXmhZ8+eFn2XhiAJUc3zdAharRYajQb5+fnw8Gh8M9kLoxFn+94LQ24uFB4eaPHoo8j9/HMYtVooW7TAHb/+AknBvE1EjUtJSQlSU1PRtm1bODs713t7ZenpKM/JMb1PmzoNhtxcKFu0QNBHH5qWO3h7Q3XTPI3W9McffyAqKgoeHh6YMWMGVCoVVq5ciatXr+Lnn39GVFQUVq9ejbi4OHTp0gWenp546KGHcPr0aXzwwQfo27cv9uzZA+mvX7Q/++wzxMTEIDo6GsOHD0dRURE++OADXL9+HceOHTMFkNjYWKxbtw7t27dHVFQUIiMjsXPnTnzzzTf497//jel/XTG5cOEC2rZti27dukGv1+Pxxx9Hbm4uli5dih49emDAgAHYs2cPHnnkEaSkpOD9999HbGwsVq1aZfqOq1evxpQpUxAeHo4JEybA09MTx44dQ2lpKdasWVPj8QkJCYGzszO0Wi2eeOIJaDQavPnmm8jPz8eKFSswf/58zJgxAwCwZMkS+Pj44PTp01D89W/a5s2bMXLkSHTp0gWxsbHIy8vD8uXL0apVKxQUFODChQsAgLKyMkRFRSE3NxcnTpyAWq3Gjz/+iKFDh+KVV17BP//5TwDARx99hGnTpmHcuHEYPHgwSkpK8Pvvv8PNzQ3vvvtuld/BkvPY4hwhqFr5+fkCgMjPz5e7lCoZdDpxfsxYkTZrlijLzhZCCFGWnS3SZs0S58eOFQadTuYKiYgqKy4uFidPnhTFxcUNsr1zD44SJzveedvXuQdHNcj+LDF69Gjh6Ogozp07Z1p29epVoVarRb9+/YQQQnzyyScCgIiIiBB6vd7UbunSpQKA2LhxoxBCiIKCAuHp6SmmTp1qto/09HSh0WjMlsfExAgA4uWXXzZr2717dxEREWF6n5qaKgAIHx8fcf36ddPyefPmCQCia9euoqyszLR8woQJwtHRUZSUlAghhLh+/bpQq9UiKiqq0n9Ho9F42+MTHBwsAIjffvvNtOzHH38UAISLi4u4ePGiafnKlSsFALF7927Tsi5duojWrVuLgoIC07I9e/YIACI4ONhsXydOnBCOjo7i8ccfF3l5eaJVq1aiZ8+eZt9v1KhRIjw8/LZ138yS89jSHMFuEzumcHVFyFfr0Pr99+HQsiUAwKFlS7R+/32ErFsHBecVI6JmoLHdXW4wGLB9+3aMHj0a7dq1My0PCAjAxIkT8euvv0Kr1ZqWT5s2DSqVyvR++vTpcHBwwJYtN+aM3LFjB65fv44JEyYgOzvb9FIqlYiKisLu3bsr1fDkk0+avb/33ntx/vz5Su0eeughaDQa0/uoqCgAwKOPPgoHBwez5Xq9HleuXDHVVFBQgBdffLFSr1BFb97thIWFoXfv3pX2PWDAALRp06bS8or6r169ihMnTmDy5Mlwd3c3tbvvvvvQpUuXSvvp3LkzFi1ahI8//hjR0dHIzs7Gp59+avb9PD09cfnyZRw6dMii2hsa5xmzc5JSWavlRERNjc9fl7Oy33u/+jY2vLs8KysLRUVF6NixY6V1nTp1gtFoRFpammnZHXfcYdbG3d0dAQEBpkttZ8+eBXAjpFTl1stfzs7O8PHxMVvm5eVV5Ti0m0MPAFMwCwoKqnJ5xTbOnTsH4EbQqU5hYaHZZOVKpdKsrrru++LFiwCA0NDQSvsMDQ3F0aNHKy2fM2cOvvzySxw8eBCvvvoqwsLCzNbPnTsXO3fuRK9evRAaGoohQ4Zg4sSJ6NOnT7XfryExjBERkd3zmTEDRm0BclevrrTO3u8uNxqNAG6MG/P396+0/uYeHuBG6LFUdW2rWy5qMcz8zTffxKJFi0zvg4ODTQHT2vu+1fnz502h9sSJE5XWd+rUCadPn8YPP/yAbdu2mcbYLViwwOw7WEuzDGN/+9vfsGfPHgwcOBBff/213OUQEVEDMN1dDgBCmP5u67vLfXx84OrqitNVPCXl1KlTUCgUCAoKMl0SO3v2LPr3729qU1hYiGvXruGBBx4AALRv3x4A4Ovri0GDBtngG9xeRU3JyclV9lABwOTJk9G3b1/TexcXlwbZd3BwMAAgJSWl0rqqlhmNRsTGxsLDwwPPPPMMXn31VYwbNw5jxowxa+fm5obx48dj/Pjx0Ov1GDNmDP71r39h3rx5DXKjSU2a5Zixp59++rZ3ehARkf0QRiO0mzcDQkChVsN7xgwo1GpACGh/2AzxV++SLSiVSgwZMgQbN2406wnKyMjAF198gb59+5pdWvzwww9RVlZmev/BBx+gvLwcw4YNAwBER0fDw8MDr776qlm7CllZWdb7MtUYMmQI1Go1lixZgpKSErN1FT1Y7dq1w6BBg0yvhrrkFxgYiM6dO2PNmjVml0F//vnnKnu93n77bfz222/48MMP8corr+Cee+7B9OnTkZ2dbWqTc9PduADg6OiIsLAwCCGqPOYNrVn2jN1///2muUyIiMj+iZISqAIC4BrRA/4LF8KhZUt4/X0i0hcuRNm1axAlJZBseFPT4sWLsWPHDvTt2xczZsyAg4MDVq5cidLSUixdutSsrV6vx8CBA/Hwww/j9OnT+Pe//42+ffviwQcfBHBjTNgHH3yASZMmoUePHnjkkUfg4+ODS5cuYfPmzejTpw+WL19us+9WUdM777yDxx9/HJGRkZg4cSK8vLxw/PhxFBUV4dNPP7Xq/l999VWMGjUKffr0QVxcnGlqi86dO5sFtD///BMvvfQSYmNjMXLkSAA3puTo1q0bZsyYga+++grAjXDp7++PPn36wM/PD3/++SeWL1+O4cOHQ61WW/W7AI2wZ2zv3r0YOXIkAgMDIUkSNmzYUKlNYmKiaY6SqKgoHDx40PaFEhFRo9HY7i4PDw/HL7/8gs6dO2PJkiVYtGgRgoODsXv3btPdgRWWL1+OTp06YcGCBVi9ejUmTJiAjRs3mt2VOHHiROzatQutWrXCG2+8gaeffhpffvklunXrhri4OJt+twqPPfYYNm3aBA8PD7zyyiuYO3cujh49aurRs6aRI0di7dq10Ov1ePHFF/Htt99i9erV6Nixo+mSosFgQExMDLy9vbFs2TLTZ++44w4sWbIE69evN4WxJ554AoWFhXj77bcxc+ZMbNiwAU899RQ+//xzq38XoBFO+rp161bs27cPERERGDNmDL777juMHj3atH7dunWYPHkyVqxYgaioKCxbtgzr16/H6dOn4evrCwDo1q0byssrjxHYvn07AgMDAQB79uzB8uXLaxwzVjFZW1pamlmXspOTE5ycnBroGxMRNS8NPemrvaqY9PXQoUPo2bOn3OU0Cd26dYOPjw927Nhh9X015KSvje4y5bBhw2pM1W+//TamTp1q+k1gxYoV2Lx5M1atWoUXX3wRAJCUlNSgNd16m21CQgIWLlzYoPsgIiIiy5SVlUGSJLM7Sffs2YPjx49j8eLFMlZWN40ujNVEr9fjyJEjmDdvnmmZQqHAoEGDsH//fqvtt6qeMSIiIpLHlStXMGjQIDz66KMIDAzEqVOnsGLFCvj7+1ea8NYe2FUYy87OhsFggN8tzxbz8/PDqVOnLN7OoEGDcPz4ceh0OrRu3Rrr1683mwX4Vh4eHo3y2ZRERETNkZeXFyIiIvDxxx8jKysLbm5uGD58OF577TW0/GvMoD2xqzDWUHbu3Cl3CURE1MzFxsYiNjZW7jLskkajwbp16+Quo8E0urspa+Lt7Q2lUomMjAyz5RkZGVXOStxQIiMjERYWhsTERKvtg4iIiJonu+oZc3R0REREBHbt2mW6w9JoNGLXrl2YNWuW1fZ76NAhXqZswoQQKCoqqtc2XF1dLX44LhER0c0aXRgrLCw0e5xBamoqkpKS0KJFC7Rp0wbx8fGIiYlBz5490atXLyxbtgw6nU62eVbI/hUVFcHd3b1e2ygsLISbm1sDVUTUPDSymZWIaqUhz99GF8YOHz5s9oyu+Ph4AEBMTAxWr16N8ePHIysrCwsWLEB6ejq6deuGbdu2VRrUT0REjZNKpYIkSdDpdA32vEIiW6u4oqJSqeq9rUY36WtjUjFZW4cOHaBUKjFz5kzMnDlT7rKogel0OlPPWEZGRqUeLiEEyowCKoVkdilSp9OZfglgzxhR7Vy7dg3Xr1833a3u4ODAS/1kFyqGtmRmZsLT0xMBAQHVtrXbSV8bI44Zaz7c3NxMoSqzoATHLubh8MU8FOsNcHFUomewF7oHe8FX3XxnDSdqCP7+/nBxcUFmZia0Wq3c5RDVmqenZ4PdPMgwRlSFU+larD1wCenaErg7OcBZpUSuTo9vj13Bb+dyMCGqDYLUSrnLJLJbkiTB09MTGo0GBoOhykfYETVWKpUKSmXD/RvAMEZ0i8yCEqw9cAk5Oj06+KmhuOnSiVEIpGbrsPbAJcTdHShjlURNQ8UjbW5+rA1Rc2NX84wR2cKxi3lI15agrbebWRADAIUkoa23G67ll+D3y7y0QkRE9ccwZgFO+tp8CCFw+GIe3J0cKgWxCgpJgtrZAUfTGMaIiKj+2C9sAQ7gbz7KjALFegOcVTWPBXByUKK4rAxQKAGjwUbVERFRU8SeMaKbqBQSXByVKCmrOWCVlhvgonJgECMionpjGCO6iSRJ6BnshcLSchirmYLPKAQKSsrRI4i9pUREVH8MY0S36B7sBX8PZ6Rm6yoFsoq7KQM0zrirNcMYERHVH8eMEd3CV+2MCVFtsPbAJZxOL4Da2QFODkqUlhtQUFKOAM2N9T7unGeMiIjqjz1jFuDdlM2HTqeDTqdDkFqJuLsDMSLcG2pHBQyGMqgdFRgR7o24uwMRpFZCp9PJXS4RETUB7BmzAO+mbD6qfeC8wgEwcoZwIiJqeOwZI7IEgxgREVkJe8ao2XN1dUVhYWG9t0FERFQXDGPU7EmSBDc3N7nLICKiZoqXKYluo/hEMi7GxKL4RLLcpRARURPEMGYB3k3ZvOVv3IiiAweQv2mT3KUQEVETxMuUFuDdlM1LWXo6ynNyTO+1W7bc+HPzZmhGjzItd/D2hqq6uy+JiIgsxDBGdIu0J55E6enTlZYbcnNxYew403unjh3RbuMGG1ZGRERNES9TEt1CHT3EonYeQ6OtXAkRETUH9QpjK1eurHF9cXExZs2aVZ9dENmcz4wZ8H5qds1tnn4K3tOn26giIiJqyuoVxqZPn46hQ4fiypUrldb98ssv6NKlCz766KP67IJIFj4zZqBFbGyV61rExTGIERFRg6lXGPv8889x+PBhdO7cGZ9++ikAoKSkBM888wz69+8PFxcX7N+/v0EKJbI1YTAAknTjBZj+LgycjZ+IiBpOvcLYxIkTceLECfTp0wdTpkzBAw88gK5duyIxMREvvPACjh49ih49ejRUrUQ2I4xGaDdvBoSAQq2G94wZUKjVgBDQ/rAZwmiUu0QiImoi6j2APyAgAN9++y0iIyOxbds2pKSkYOnSpXj11VehUqkaokbZcZ6x5keUlEAVEAD14EFov3ULfJ6ajfZbt0A9eBBUgQEQJSVyl0hERE2EJIQQ9dlAUlISJk+ejD///BNPPvkk9uzZg1OnTuHZZ5/F4sWL4ejo2FC12pxWq4VGo0F+fj7nGWuGhMEASam0eDkREdHNLM0R9eoZW7hwIaKiolBSUoKff/4Z77//Po4cOYLnnnsO77zzDnr06IEjR47UZxdEsqkucDGIERFRQ6pXz5hSqcSMGTOwdOlSuLi4mK07cOAAYmJicP78eej1+noXKgf2jBEREVFdWZoj6jUD/86dO9G/f/8q10VFReH48eOYP39+fXZBRERE1KTVe8xYU8aeMSIiIqorm/SMXbp0yaJ2bdq0qc9uiIiIiJqseoWxkJAQSBUTYtbAYDDUZzdERERETVa9wtiqVasqhTGDwYALFy5gzZo18PX1xcyZM+tVIBEREVFTVq8wFlvNs/sAYO7cuYiKikJ+fn59dkFERETUpNV7Bv7quLm5IS4uDu+88461dkFERERk96wWxgDAaDQiPT3dmruwCT4OiYiIiKylXpcpq6PVarF371688cYb6N69uzV2YVOHDh3i1BZEdSCEQFFRUb224erqatGNQkRE9qpeYUyhUFT7Q1IIgTZt2uDf//53fXZBRHasqKgI7u7u9dpGYWEh3NzcGqgiIqLGp15hbMGCBZXCmCRJ8PLyQvv27TFkyBA4OFil842IiIioSahXUlq4cGEDlUFETV1GRkalHi4hBMqMAiqFZPaLnU6ng5+fn61LJCKSBbutiMgm3NzcTGEss6AExy7m4fDFPBTrDXBxVKJnsBe6B3vBV+0sc6VERLZVqzA2ZcqUWu9AkiT85z//qfXniKhpOpWuxdoDl5CuLYG7kwOcVUrk6vT49tgV/HYuBxOi2iBIrZS7TCIim6lVGPvpp59qfVcT74IiogqZBSVYe+AScnR6dPBTQ3HTzwejEEjN1mHtgUuIuztQxiqJiGyrVmHswoULViqDiJqDYxfzkK4tqRTEAEAhSWjr7YbT6QX4/bJWpgqJiGyv1pO+zp8/H7///rs1aiGiJkwIgcMX8+Du5FApiFVQSBLUzg44msYwRkTNR63D2GuvvYbk5GTT+5ycHCiVSvz0008NWhgRNS1lRoFivQHOqprHgzk5KFFcVg4oOG6MiJqHBnkckhCiITZDRE2YSiHBxVGJkjJDje1Kyw1wUTkAxprbERE1FVZ9NiURUQVJktAz2AuFpeUwVvMLnFEIFJSUo0cQHz9GRM0HwxgR2Uz3YC/4ezgjNVsHoxDwuHQWke/9Ex6XzprupgzQOOOu1gxjRNR81GnS1wsXLuDo0aMAgPz8fADA2bNn4enpWWX7Hj161K26RiIyMhJKpRIzZ87EzJkz5S6HyG75qp0xIaoN1h64hNPpBRiydwdanj0Bj1924sAAPwRobqz3ced4MSJqPiRRywFfVT0cXAhR5XxiFcsNBvsc+6HVaqHRaJCfnw8PD/6mTlRbOp3O9KDwjIwMOBUWwpibh7xiPc5m6OC75B9w1mlR4uaBzHn/wh1+bvBycUSJizMCO3cGwAeFE5H9sjRH1Lpn7JNPPqlXYUTUPPn5+eHb4BDc6XzjcUdt8NfNP5IEp8J8tPnnbJQCSAdwqqREzlKJiGyq1mEsJibGGnUQUTOwvbDAFMaA/39Cx6096z8WFNi0LiIiOXEAPxFZjaurKwoLC02vNy9ehObJJ2v8jGb6k3jr0kXTZ1xdXW1ULRGRPOo0gJ+IyBKSJFUa7+X2zNNQlpQgd/XqSu1bxMXB7+mnbVQdEVHjwDBGRDYnDAag4tLkX+PGbiwvl7EqIiJ58DIlEdmUMBqh3bwZEAIKtRreM2ZAoVYDQkD7w2YIo1HuEomIbIphjIhsSpSUQBUQAPXgQWi/dQt8npqN9lu3QD14EFSBARC8k5KImplazzPWnHCeMSLrEAYDJGXliV2rW05EZI8szRHsGSMim6sucDGIEVFzxDBGREREJCOGMSIiIiIZMYwRERERyYhhjIiIiEhGDGNEREREMuIM/EREdkgIgaKionptw9XVtdJD2onI9hjGiIjsUFFREdzd3eu1jcLCwkrPDiUi2+NlSiIiIiIZsWeMiMjOZWRkVOrhEkKgzCigUkhmlyJ1Oh38/PxsXSIR1aDZhbG0tDRMmjQJmZmZcHBwwEsvvYSHHnpI7rKIiOrMzc3NFMYyC0pw7GIeDl/MQ7HeABdHJXoGe6F7sBd81c4yV0pEVWl2YczBwQHLli1Dt27dkJ6ejoiICDzwwAMcN0FEdu9UuhZrD1xCurYE7k4OcFYpkavT49tjV/DbuRxMiGqDIDUfOUXU2DS7MBYQEICAgAAAgL+/P7y9vZGbm8swRkR2LbOgBGsPXEKOTo8Ofmoobro0aRQCqdk6rD1wCXF3B8pYJRFVpdEN4N+7dy9GjhyJwMBASJKEDRs2VGqTmJiIkJAQODs7IyoqCgcPHqzTvo4cOQKDwYCgoKB6Vk1EJK9jF/OQri1BW283syAGAApJQltvN1zLL8Hvl7UyVUhE1Wl0YUyn06Fr165ITEyscv26desQHx+PhIQEHD16FF27dkV0dDQyMzNNbbp164bOnTtXel29etXUJjc3F5MnT8aHH35425q0Wq3Zq7S0tP5flIiogQghcPhiHtydHExBzOPSWUS+9094XDoL4EYgUzs74GgawxhRY9PoLlMOGzYMw4YNq3b922+/jalTpyIuLg4AsGLFCmzevBmrVq3Ciy++CABISkqqcR+lpaUYPXo0XnzxRdxzzz23renWnrOEhAQsXLjwtp8jIrKFMqNAsd4AZ9X/jwdrdXA3Wp49gcCDe6BtcwcAwMlBieKyMkChBIwGucolols0ujBWE71ejyNHjmDevHmmZQqFAoMGDcL+/fst2oYQArGxsRgwYAAmTZpk0WfS0tLg4eFheu/k5FS7womIrEilkNCi6DpKsrLh4XHjjkn/I78CAAKO/IKrUQMAAMXaEii9vBjEiBoZuwpj2dnZMBgMlebI8fPzw6lTpyzaxr59+7Bu3TrcddddpvFon332Gbp06VLtZzw8PMzCGBFRYyJJEgaueQ2OF8+blom//nQszMc9S+NNy0vbtMWLNq6PiGpmV2GsIfTt2xdGo1HuMoiIGpRmaDSKV35gei/d8mcFt8GDgB1bbVYXEd1eoxvAXxNvb28olUpkZGSYLc/IyIC/v7/V9hsZGYmwsLBqbyogIpJbyLNPAVOm1dxoyhMInPGEbQoiIovZVRhzdHREREQEdu3aZVpmNBqxa9cu9O7d22r7PXToEE6ePImZM2dabR9ERHWl0+mg0+nQZuY0ODz8SJVtHMZPQJuZU6HT6WxcHRHdTqO7TFlYWIiUlBTT+9TUVCQlJaFFixZo06YN4uPjERMTg549e6JXr15YtmwZdDqd6e5KIqLm5uZxtPN8ffF3Ty8AN6azMIobo8dWfZCI115OkKU+IqpZowtjhw8fRv/+/U3v4+NvDDyNiYnB6tWrMX78eGRlZWHBggVIT09Ht27dsG3bNj74loiaPQnAA2oPKCQJ+QYD/puXh797eUGjVGK4hwdez8o0DewnosZDEkLw/81qaLVaaDQadOjQAUqlEjNnzuSlSiJqFIQQKCoqMltmLC5GxtSpcPAPQIv586Bs0QKG3FzkvroEhox0+H74IRQuLqb2rq6ukKRbh/gTUUOpyBH5+fk1zsrAMFYDSw8iEVFjIQwGSMrKDwOvbjkRWY+lOcKuBvATEVHNqgtcDGJEjRfDGBEREZGMGMaIiIiIZMQwZgFO+kpERETW0uimtmiMDh06xAH8REREZBXsGSMiIiKSEcMYERERkYwYxoiIiIhkxDBGREREJCOGMQvwbkoiIiKyFt5NaQHeTUlERETWwp4xIiIiIhkxjBERERHJiGGMiIiISEYMY0REREQyYhizAO+mJCIiImvh3ZQW4N2URERUofhEMjLffBO+zz8Ply6d5S6HmgD2jBEREdVC/saNKDpwAPmbNsldCjUR7BkjIiKqQVl6OspzckzvtVu23Phz82ZoRo8yLXfw9obKz8/m9ZH9YxgjIiKqQdoTT6L09OlKyw25ubgwdpzpvVPHjmi3cYMNK6OmgpcpiYiIbiKEgE6nM72c+/e36HPOA/qbPiOEsHKV1JQwjBEREd2kqKgI7u7uplerZ5/Be9lZNX7m3awstHrmGdNnioqKbFQtNQUMY0RERLexIicHq3Nzq1z3SW4OVubmVLmOyBIMYxbgPGNERM1TRkYGCgsLUVhYiMemPgEhSai4ACkACEnC49OeRGFhITIyMuQslewYB/BbgPOMERE1T25ubnBzc8OfV6+jZNuPcBYCpc5uOH3PMHT8bSucSnTQbf0Rl2bEo43GTe5yyU4xjBEREdUgs6AE6/el4D6PlrjePgwnH5kOvdoT2YNGIuzLD6DIysD3+1IwuV87uUslO8UwRkREVINjF/NwpQQ4PPdNKJT//8+mXu2JpKnzYDSU43JmEX6/rJWxSrJnHDNGRERUDSEEDl/Mg7uTg1kQu5lC6QC1swOOpjGMUd0wjBEREVWjzChQrDfAWaWssZ2TgxLFZeWAouZ2RFVhGCMiIqqGSiHBxVGJkjJDje1Kyw1wUTkAxprbEVWFYYyIiKgakiShZ7AXCkvLYaxmVn2jECgoKUePIN51T3XDMEZERFSD7sFe8PdwRmq2rlIgMwqB1GwdAjTOuKs1wxjVDe+mJCIiqoGv2hkTotpg7YFLOJ1eALWzA5wclCgtN6CgpBwBmhvrfdw5XozqhmGMiIjoNu7098DMAaE4duk6Dl/IRbHegBZujhgS7o/ubTzhq3aGTqeTu0yyUwxjFoiMjIRSqcTMmTMxc+ZMucshIiIbuTlguSmAviFq9Al2R5lRQKWQIEkSAAN0Oh3DGNUZw5gF+DgkIqLmyc/PT+4SqBngAH4iIiIiGbFnjIiI6Caurq4oLCys9zaILMUwRkREdBNJkuDm5iZ3GdSM8DIlERERkYwYxoiIiIhkxDBGREREJCOGMSIiIiIZMYwRERERyYhhjIiIiEhGDGNEREREMmIYIyIiIpIRwxgRERGRjBjGLBAZGYmwsDAkJibKXQoRERE1MXwckgUOHToEDw8PucsgIiKiJog9Y0REREQyYhgjIiIikhHDGBEREZGMGMaIiIiIZMQwRkRERCQjhjEiIiJqFIpPJONiTCyKTyTLXYpNMYwRERFRo5C/cSOKDhxA/qZNcpdiU5xnjIiIiGRRlp6O8pwc03vtli03/ty8GZrRo0zLHby9ofLzs3l9tsIwRkRERLJIe+JJlJ4+XWm5ITcXF8aOM7136tgR7TZusGFltsXLlERERCQLdfQQi9p5DI22ciXyYhgjIiIiWfjMmAHvp2bX3Obpp+A9fbqNKpIHwxgRERHJxmfGDLSIja1yXYu4uCYfxACOGSMiIiIbEUKgqKio0nJ9SQkgSRWNTH8vKymBTqcza+vq6gqpom0TwZ4xIiIisomioiK4u7ubvdTu7rj4+eeAEMgvL8e/s7ORX14OCIELn30G9S3tqwpz9o49Y0RERCQbZ0nCtbIyHC0uwqKMDOQaDPjieh4S/PwQ4KCCsyShWAi5y7QqhjEiIiKyuYyMDLi5uQEAhMEASanEFCFQZhRQKSRIkgRhMCBLqYROp4Mf5xkjIiIiajhubm6mMJZZUIJjqXk4fDEPxXoDXByV6Bnshe7BXvB1c5a5UutjGCMiIiLZnErXYu2BS0jXlsDdyQHOKiVydXp8e+wKfjuXgwlRbRCkVspdplU1uwH8169fR8+ePdGtWzd07twZH330kdwlNYjS0lIsXLgQpaWlcpfS5PDYWg+PrfXw2FoPj23DySwowdoDl5Cj06ODnxoBHo5IPrwfAR6O6OCnRo5Oj7UHLiGrsGkfa0mIJj4q7hYGgwGlpaVwdXWFTqdD586dcfjwYbRs2bJSW61WC41Gg/z8fHh4eMhQreXsqVZ7w2NrPTy21sNjaz08tnWn0+ng7u4OACgsLMSvqVp8e+wKOvipoZAklJaW4rXXXsOLL74IJycnGIXA6fQCjAj3xqiebU2fq7i82dhZeq40u54xpVIJV1dXADd+uxFCoJnlUSIiItkJIXD4Yh7cnRygqGbeMIUkQe3sgKNpWhtXZ1uNLozt3bsXI0eORGBgICRJwoYNGyq1SUxMREhICJydnREVFYWDBw/Wah/Xr19H165d0bp1a8yZMwfe3t4NVD0RERFZoswoUKw3wFlV83gwJwclisvKAUXTHTfW6Abw63Q6dO3aFVOmTMGYMWMqrV+3bh3i4+OxYsUKREVFYdmyZYiOjsbp06fh6+sLAOjWrRvKy8srfXb79u0IDAyEp6cnjh8/joyMDIwZMwbjxo2r8pbZih6zK1euQKv9/1Tu5OQEJyenhvrKDaKivpvrpIbBY2s9PLbWw2NrPTy2dXfzbPrFhQWQyotxXaeHu/TXFSt9KUR5GUqKCiHKywAAWm0R1I4KwGj4670WBoPB9sXXQcU5ctsrcKIRAyC+++47s2W9evUSM2fONL03GAwiMDBQLFmypE77mD59uli/fn2V69LS0gQAvvjiiy+++OKLrzq/0tLSaswija5nrCZ6vR5HjhzBvHnzTMsUCgUGDRqE/fv3W7SNjIwMuLq6Qq1WIz8/H3v37sX0ah5CGhgYiHPnzkGlUpk9B6sx9owRERFR4yKEQEFBAQIDA2tsZ1dhLDs7GwaDodIlRT8/P5w6dcqibVy8eBHTpk0zDdyfPXs2unTpUmVbhUKBdu3a1btuIiIiap40Gs1t29hVGGsIvXr1QlJSktxlEBEREQFohHdT1sTb2xtKpRIZGRlmyzMyMuDv7y9TVURERER1Z1dhzNHREREREdi1a5dpmdFoxK5du9C7d28ZKyMiIiKqm0Z3mbKwsBApKSmm96mpqUhKSkKLFi3Qpk0bxMfHIyYmBj179kSvXr2wbNky6HQ6xMXFyVg1ERERUd00usch7dmzB/3796+0PCYmBqtXrwYALF++HG+88QbS09PRrVs3vPfee4iKirJxpURERET11+jCGBEREVFzYldjxoiIiIiaGoYxIiIiIhkxjBERERHJiGGMiIiISEYMY0REREQyYhgjIiIikhHDGBEREZGMGMaIiIiIZMQwRkRERCSjRvdsysbEaDTi6tWrUKvVkCRJ7nKIiIjIjgghUFBQgMDAQCgU1fd/MYzV4OrVqwgKCpK7DCIiIrJjaWlpaN26dbXrGcZqoFarAdw4iB4eHjJXQ0RERPZEq9UiKCjIlCeqwzBWg4pLkx4eHgxjREREVCe3G+rEAfxEREREMmIYIyIiIpIRwxgRERGRjBjGiIiIiGTEMEZEREQkI4YxIiIiIhkxjBERERHJiGGMiIiISEYMY0REREQyYhgjIiIikhHDGBEREZGMGMaIiIiIZMQwRkRERCQjhjEiIiIiGTGMEREREcmIYYyIiIhIRgxjRERERDKy2zC2d+9ejBw5EoGBgZAkCRs2bKix/Z49eyBJUqVXenq6bQomIiIiqoLdhjGdToeuXbsiMTGxVp87ffo0rl27Znr5+vpaqUIiIiKi23OQu4C6GjZsGIYNG1brz/n6+sLT07PhCyIiIiKqA7vtGaurbt26ISAgAIMHD8a+ffss+oxWqzV7lZaWWrlKIiIiai6aTRgLCAjAihUr8M033+Cbb75BUFAQ7r//fhw9evS2nw0KCoJGozG9lixZYoOKiYiIqDmw28uUtdWxY0d07NjR9P6ee+7BuXPn8M477+Czzz6r8bNpaWnw8PAwvXdycrJanURERNS8NJswVpVevXrh119/vW07Dw8PszBGRERE1FCazWXKqiQlJSEgIEDuMoiIiKgZs9uescLCQqSkpJjep6amIikpCS1atECbNm0wb948XLlyBWvWrAEALFu2DG3btkV4eDhKSkrw8ccf46effsL27dvl+gpERERE9hvGDh8+jP79+5vex8fHAwBiYmKwevVqXLt2DZcuXTKt1+v1eO6553DlyhW4urrirrvuws6dO822QURERGRrkhBCyF1EY6XVaqHRaJCfn88xY0RERFQrluaIZj1mjIiIiEhuDGNEREREMrLbMWNERERkv8oyM1GelWW2rDTlHPI++wxekybBKbS92ToHHx+omujzpBnGiIiIyOaur/sK2YmJVa67NndupWXeM2fCZ/Ysa5clC4YxIiIisjnP8Q/DfUB/lGdmwVBQAKEvRfo/XwIASGo1/Be8BAhAqVbDwdcHDj4+MldsPbybsga8m5KIiMi6/ryz023bdDr1pw0qaXi8m5KIiIgavcA3lgJKZdUrlcob65s4XqYkIiIi2WhGjoRju3a4MHZcpXUhX62DS3i4DFXZFnvGiIiIiGTEnjEiIiKyuZuntijPyYGk0UDk5wMAVG3bwpCXh/KcHBT/8QcATm1BRERE1KBqmtqiLDUVAHB52hOmZZzagoiIiKgBVUxtYammPLUFwxgRERHZnMrXt8ledqwtDuAnIiIikhHDGBERUS0Un0jGxZhYFJ9IlrsUaiJ4mZKIiKgaVT3MOmfVKhQdOICcTz5By8emmK1rynf8kfUwjBEREVWjpjv+CrZsQcGWLWbLmvIdf2Q9vExJRERUDc/xDyPkm68tahvyzdfwHP+wlSuipohhjIiI6Da8n34KUFTzT6ZCcWM9UR0xjBEREVXj+rqvcGHsOGS/+x5gNFbdyGhE9rvv4cLYcbi+7ivbFkhNAseMERERVePmiUlLz5/HtTkvVGoT8MZSOLVrB6BpT0xK1sMwRkREVI2bJyZ1aNkSSm9vqPz94TluHK5//TXK0tPhFhkJlb+/zJWSPZOEEELuIhorrVYLjUaD/Px8eHh4yF0OERHJzKjXQ1KpIEkShBAQZWVQODrKXRY1UpbmCPaMERERWejm4CVJEiQGMWoAHMBPREREJCOGMSIiIiIZMYwRERERyYhhjIiIiEhGDGNEREREMmIYIyIiIpIRwxgRERGRjBjGiIiIiGTEMEZEREQkI87AT0REZCGjUeDK9WLo9OVwc3RAK08XKBSS3GWRnWMYIyIiskBKZgF+TM7AuaxClJQb4OygRHsfd0R39kOor1ru8siOMYw1AfxNzXp4bK2Hx9Z6eGwbXkpmAT7ZdwG5Oj0CNM5wdXRBkb4cyVfzcTW/GHF9QhjI6qk5n7d2G8b27t2LN954A0eOHMG1a9fw3XffYfTo0TV+Zs+ePYiPj8cff/yBoKAg/POf/0RsbKxN6rUW/qZmPTy21sNjaz08tg3PaBT4MTkDuTo97vB1hyTdCAhqZxXcnRxwNrMQ2//IQDtv92YTHhpacz9vrTqA/6uvvkJaWprZsszMTJSXl1dqe+LECbz88ssWb1un06Fr165ITEy0qH1qaiqGDx+O/v37IykpCc888wwef/xx/Pjjjxbvs7Gp+E0t+Wo+PF1VaOftDk9XFZKv5uOTfReQklkgd4l2i8fWenhsrYfHtuFlaEuw+3QmDl/MhaNSQnZhKbIKSkyv7MJSOColHLqQi92nM5GhLZG7ZLvD89bKPWMTJkzAZ599hokTJwIAcnJyEBAQgB07dmDAgAFmbX///XcsWrQICxYssGjbw4YNw7BhwyyuZcWKFWjbti3eeustAECnTp3w66+/4p133kF0dLTF22ks+Jua9fDYWg+PrfXw2FrHD8evYkPSFVzOK4aLSgmpikMnBFBSZkB2YSlGd2uFx+5tZ/tCGyEhxG3bGAxGbEtOR05hqem8lSSp2Z23Vg1jVf2HsOQ/jjXs378fgwYNMlsWHR2NZ5555raf3bdvH9zc3EzvHR0d4ejo2NAlWiy3qByp18uwK6UIbioF/tTlAwDKDeUoLysDAJQagK1X01F07SzauEvwdOYsJpa4XmLEpUKBny8b4eIAFOZUbsNjWzc8ttZjrWNb15/XFZ+rzb8BluyrpjY17auu2zYajVDogShXoLzQAc5KASdF5c/pjUCJg4ReLgVAWga+/vqo2frb7b+mNjevs+R7GI3GOu3H0m3c2qY+/6ZryyRcK3HAUa0rnCSB9Is3tuXq5gY3V1cAQEm5wM7sXKh0GWjrqUILV/saXVVYWGhRO/v6VvWQnp4OPz8/s2V+fn7QarUoLi6Gi4tLtZ994IEHrF1eragjHoRb+P1w0PhClOkBVPU/gwTJwRGH/8iE7o89KDiyydZl2iUeW+vhsbUeHltrk+Bx9zg4+rVHWfalSmtV3m2gT0/BtgPfoOpjT1X5//PW4ZbzVndTqxvn7f5jTfu8bTZhrD62bNnSKHvGtv7VM+bscKPrtkyvR2lFz1g5UGwE+vZwR9CIdtA4TpGtXnuSrwfSCoFfMxRwVQCOVfwfwmNbNzy21mMvx7a2PVs3s6S3pqpt3W6fltaUWaLAr1kOKCrrBY2jgEq60SOWX6aAm4MRvVveBd/Zo2tVsyW9hJb2ZNX2M9Xts649Z7fb/63LhBAoLFcgU++IYzoVnCQFHKUbbdzc3eHu7g7gRs+YrsyIYaEhaDu1D1q4Jlj+pRqBwsJC3Hfffbdt12zCmL+/PzIyMsyWZWRkwMPDo8ZeMQDo06cPPDw8rFlerRmNAvo955B8Nd9sfAhw4yQ/m1mILq00ePK+9k36Ors1GI0CH/DYWgWPrfXw2FrfAzfd8VdabkALByX6+rpjSHjTuOOvvpeK69LGaBRY+Usq/riSj9C/ztsb56dkOm97t9LgMTs9b7VarUXtrB7GDh8+DGdnZwBAQUEBJEnCr7/+iuvXr5u1O3TokFXr6N27N7Zs2WK2bMeOHejdu7dV92stCoWE6M5+uJpfjLOZhQjQOMPFUYlivQHX8kvQws0RQ8L97PLklRuPrfXw2FoPj631hfqq0e5+9yY7F5ZU1d0JdWhTW8O6BCBdW4pz2UU3nbflzeq8lYQVR9QrFLUbfCtJEgwGg0VtCwsLkZKSAgDo3r073n77bfTv3x8tWrRAmzZtMG/ePFy5cgVr1qwBcGNqi86dO2PmzJmYMmUKfvrpJzz11FPYvHlztXdTarVaaDQa5OfnN7qesQopt/ym5uSgRGgT+k1NTjy21sNjaz08tmSPmup5a2mOsGoY+/nnn2v9GUuurQI3JnDt379/peUxMTFYvXo1YmNjceHCBezZs8fsM88++yxOnjyJ1q1b46WXXqpx0ld7CGNA85612Np4bK2Hx9Z6jEaBS/uPoHj5MrjMegZtekfw2FKj1xR/JjSKMGYwGKBUKq21eauzlzBGRHSr9MX/Qt7nn8Nr0iT4/2O+3OUQNUuW5girjhlr2bIloqOjMWLECAwdOhQ+Pj7W3B0RUbNUlpmJ8qwslGdmwVBQAEhA/qYbUwDkb9wI57u6AAJQqtVw8PWBg48PVL6+MldNRBWs2jP2/vvvY8uWLfj555+h1+sRERGB4cOHY/jw4YiIiLDWbhsMe8aIyB5kvb8c2RY+Gg4AvGfOhM/sWVasiIiARnKZskJxcTF27tyJrVu3YsuWLbh06RL8/f0xdOhQjBgxAoMHD4Za3fgG6DGMEZE9KD75J0rPpaD46FFc/3Ldjefz3EqS4PnIeLj06AGn9qFwCetk+0KJmplGFcZulZycjM2bN2Pr1q347bffIEkS+vbtiwceeADDhw/HnXfeaeuSqsQwRkT2gD1jRI1Tow5jN8vPz8f27duxefNmbNu2DVlZWXj11Vcxd+5cOcsCwDBGRPahYswYAJSeP49rc16o1CbgjaVwanfjAdYcM0ZkG41iAH9JSQmeeeYZhIeHY/bs2VW20Wg0uHbtGlxcXHDp0iUcP37cmiURETU5Kl9fU7hyaNkSSm9vqPz94TluHK5//TXK0tPhFhkJlb+/zJUSUVWsGsY+/PBDrF69GidPnqyx3fDhw/HCCy/grrvuwvTp061ZEhE1IsUnkpH55pvwff55uHTpLHc5TYLK3x+hP+2CpFJBkiR4jn8YoqwMChmfp0tENavdFPm19NVXX2Hs2LFo91fXeHXat2+PcePGYe3atdYsh4gamfyNG1F04IBpGgZqGApHR9NjayRJYhAjauSs2jN24sQJ/P3vf7eobZ8+ffDDDz9YsxwikhHnwiIiqppVw5her4ejhb+ROTo6orS01JrlEJGMclZ9grzVq6tcZ9RqKw0694qNhf+L8t/IQ0RkbVa9TBkYGIjk5GSL2iYnJyMwMNCa5RCRjGr7hDn7fiIdEZHlrNozNmjQIKxZswbz5s2Dbw2XGzIzM7FmzRo89NBD1iyHiGTUYkocPEaOAGD59AtERM2BVXvG5s6di5KSEgwYMAAHDhyoss2BAwcwcOBAlJSUYM6cOdYsh4hkpPL1hUt4OFzCw02BC38NMq/406ldO1MbjhcjoubCqj1j7dq1w1dffYUJEybgnnvuQbt27dClSxeo1WoUFBQgOTkZ586dg6urK7788ku0b9/emuU0aZwigOxJdXNhObRsKXdpREQ2Z5MZ+C9cuIDXX38dP/zwA65cuWJaHhgYiBEjRuCFF1647fQXcrCnGfjTF/8LeZ9/Dq9Jk+D/j/lyl0N0W0a93jQXlhCCc2ERUZPTaB+HVFBQAK1WCw8Pj0b5cPCbNfYwVnblCsrzrgMSkDZ1Ggy5uVC2aIGgjz4EBODg5QlVq1Zyl0lERNQsNYrHIVVFrVY3+hDW2BWf/BOl51KqHABtyM3FhbHjTO8D3lgKp/ahcAnrZMsSiYiIyEI2D2NUfxlLlqD40CGL2l6b8wJcIiMR8tkaK1dFREREdcEwZof85s1D6bkUAEDZ5cvIfve9Sm28n34KqtatAQBO7UNtWh8RERFZjmHMDrmEdTJddiz+448bYUySACFMf7r36weX8HCZK20aeKcqERFZk1XnGSPrq5giwDk8HP4LF8I5PBxKb29OEdCA+DBrIiKyJpvfTWlPGvvdlBU4RUDD452qRERUX432bkpqeDcHL0mSIDGI1VlZZibKs7LM7kitcOudqiHffA0HHx/OFE9ERPXCy5REN8lZ9UmVQawqF8aOQ86qT6xcERERNXUMY0Q3kazcnoiI6Fa8TEl0kxZT4uAxcgQAoPT8+Son1g14Y6npQdcOPj42rY+IiJoehjGim6h8fU1jwKp7mLVbZCRU/v4yV0pERE0F76asgb3cTUnWwztViYiorng3JVED4J2qRERkbRzAT0RERCQjhjEiIiIiGTGMEREREcmIYYyIiIhIRgxjRERERDJiGCMiIiKSEcMYERERkYzsPowlJiYiJCQEzs7OiIqKwsGDB6ttu3r16htzRd30cnZ2tmG1RERERObsOoytW7cO8fHxSEhIwNGjR9G1a1dER0cjMzOz2s94eHjg2rVrptfFixdtWDERERGRObsOY2+//TamTp2KuLg4hIWFYcWKFXB1dcWqVauq/YwkSfD39ze9/Pz8bFgxERERkTm7DWN6vR5HjhzBoEGDTMsUCgUGDRqE/fv3V/u5wsJCBAcHIygoCKNGjcIff/xx231ptVqzV2lpaYN8ByIiIiK7DWPZ2dkwGAyVerb8/PyQnp5e5Wc6duyIVatWYePGjfj8889hNBpxzz334PLlyzXuKygoCBqNxvRasmRJg30PIiIiat6a1YPCe/fujd69e5ve33PPPejUqRNWrlyJV155pdrPpaWlmT1t3cnJyap1EhERUfNht2HM29sbSqUSGRkZZsszMjLg7+9v0TZUKhW6d++OlJSUGtt5eHiYhTEiIiKihmK3lykdHR0RERGBXbt2mZYZjUbs2rXLrPerJgaDASdOnEBAQIC1yiQiIiKqkd32jAFAfHw8YmJi0LNnT/Tq1QvLli2DTqdDXFwcAGDy5Mlo1aqVaYzXyy+/jLvvvhuhoaG4fv063njjDVy8eBGPP/64nF+DiIiImjG7DmPjx49HVlYWFixYgPT0dHTr1g3btm0zDeq/dOkSFIr/7/zLy8vD1KlTkZ6eDi8vL0REROC3335DWFiYXF+BiIiImjlJCCHkLqKx0mq10Gg0yM/P55gxIiIiqhVLc4TdjhkjIiIiagoYxoiIiIhkxDBGREREJCOGMSIiIiIZMYwRERERyYhhjIiIiEhGDGNEREREMmIYIyIiIpIRwxgRERGRjBjGiIiIiGTEMEZEREQkI4YxIiIiIhkxjBERERHJiGGMiIiISEYMY0REREQyYhgjIiIikhHDGBEREZGMGMaIiIiIZMQwRkRERCQjhjEiIiIiGTGMEREREcmIYYyIiIhIRgxjRERERDJiGCMiIiKSEcMYERERkYwYxoiIiIhkxDDWRJSWlmLhwoUoLS2Vu5Qmh8fWenhsrYfH1np4bK2nuR5bSQgh5C6isdJqtdBoNMjPz4eHh4fc5dTInmq1Nzy21sNjaz08ttbDY2s9Te3YWvp92DNGREREJCOGMSIiIiIZOchdQGNWcQVXq9XKXMntVdRoD7XaGx5b6+GxtR4eW+vhsbWepnZsK77H7UaEccxYDS5fvoygoCC5yyAiIiI7lpaWhtatW1e7nmGsBkajEVevXoVarYYkSXKXQ0RERHZECIGCggIEBgZCoah+ZBjDGBEREZGMOICfiIiISEYMY0REREQyYhgjIiIikhHDGBEREZGMGMaIiIiIZMQwRlRPvCGZ7I3RaJS7BKJaa8rnLae2IKqDkpISGI1GuLq6mpYJITgfXT2lpKTg+++/x7Vr19C/f3/06NEDfn5+cpfVJJSVlUGlUpkt4zlbfzxnrau5nLcMY03E6dOn8dlnn+HcuXMYMmQI7rrrLkRERMhdVpOUnJyMp556ClqtFkqlEjExMRg9ejQCAwNhNBprnNiPqpecnIx+/fohPDwcZWVlSEpKwpgxYzBp0iQMGzZM7vLs2smTJzF//nxotVo4OTlh9uzZ6N27N7y8vJrkP2y2wnPWuprTect/NZqAkydPonfv3khOTkZ2djbeeustPP744/jss8/kLq3JOX/+PPr164fQ0FA8/fTTCA0NxX/+8x888cQTSElJgUKhaNJd6dZSXFyMefPm4dFHH8WePXvwv//9Dxs2bEBOTg6WLl2K7777Tu4S7dbZs2fRu3dvaDQaREdHo7S0FHPmzEFCQgKuXLkCSZJ4qb0OeM5aV7M7bwXZtfLychEXFydiYmKE0WgUQghx6NAh8dRTT4kWLVqIjz/+WOYKm5bly5eLIUOGmC37/PPPxYABA0T//v3F+fPnhRDC9N+CLFNeXi66d+8uFi9ebLZ8//794sEHHxRDhw4V//vf/2Sqzr4tWLBAjBo1ymzZq6++Ku6++24xZcoUce3aNXkKs3M8Z62ruZ237Bmzc0IIpKSkmD0/s2fPnoiPj8eUKVOwcOFCbNq0SeYqm46CggKcPn0aBQUFpmV///vfMWPGDADAa6+9Bq1W26S6z61NCIHS0lIEBAQgOzsbAGAwGAAAd999N55//nlcunQJGzZsMLUnyxUXF+PatWsoLS01LZs3bx7Gjx+PP/74A59++in0er2MFdofnrPW19zOW4YxO+fg4IC7774bZ8+exbVr10zLg4ODMXXqVPTp0weff/45ioqKZKyy6QgPD4e7uzsOHjxo9gN27NixGD58OHbs2IGsrCwZK7Q/kiTB1dUVI0eOxL///W9s374dSqXSdLn33nvvxaxZs5CYmIisrCwG3Vpq3bo18vPzcfnyZQBAeXk5AOCZZ55BVFQUVq5cieLiYjlLtDs8Z62v2Z23cnbLUcNYv369aNu2rXj//fdFQUGB2bovvvhCuLm5idTUVHmKa4Luuece0a1bN9MlyZu1bNlSLFu2TIaq7NfNl3Qff/xxoVarxa+//mrWZvv27aJLly4iJyfH1uXZPYPBIO68804xePBgUV5eLoQQoqysTAhx41Kbu7u7+O9//ytniXaH56z1Nbfzlj1jTcC4cePw0EMPYe7cufjyyy+Rm5trWtejRw8EBwebdfVS3VRchtiyZQuKi4sxYcIE/PHHH6b1RUVFuOOOO+Dv7y9XiXZD3NSreHOvwWuvvYYHH3wQQ4YMwZo1a3DhwgUYDAb8+OOPUCgUvFO1lgwGAxQKBb788kskJydj1KhRKCgogIODAwAgNzcX7dq1g4+Pj8yVNn48Z22nOZ63DnIXQJYzGAxQKpVmt/RWTKXw+uuvo7i4GHPnzkVqaipGjx6N9u3b4+OPP0ZpaSlatmwpc/X2r+IyhEajwc6dOzF06FA89NBDmDRpEsLCwrBv3z6cOXMGkZGRcpfaaF2/fh2enp7VXrZp2bIlPvroIwQFBeHZZ5+Fu7s7fH19kZqaih07dsDT09O2Bds5pVIJAOjatSu++uor/P3vf8fAgQMRHx+PVq1aYdu2bcjIyECHDh1krrTx4jlre83xvOU8Y3YiKSkJL730EtatW2c20Sjw/yENAF5//XV8//33OHz4MMLCwpCeno7Nmzeje/fucpRtl1JSUpCXl3fbUGUwGDB9+nQkJycjIyMDvr6++Pe//81jXY2kpCTMnj0biYmJuOuuu27bfv/+/bhy5Qr0ej3uuecehISEWL9IO3Xp0iUUFRXhzjvvrLFdeno64uLicOHCBRQXF0Oj0eCTTz5Bjx49bFSpfeE5a108b28i60VSskhSUpJwcXERc+fONVt+87iFimvpQghx8eJFsWfPHvHzzz+Ly5cv26zOpuDYsWPCw8NDfPjhh9W2MRqNwmAwmN5fv35dXLt2TeTn59uiRLuUlJQkVCqVmDNnTqV1FceyYlwIpwWpnaNHjwofHx+xfv36atvcekwvXLggzp07J7Kzs61dnt3iOWtdPG/NMYw1csePHxdubm6VfiCUlpaa/n5zMKC6S0pKEq6uriI+Pr7aNjcf64yMDFuUZfeSk5OFi4uLWLBggRDixg/YnJycKm+AEEKIDz74QBw+fNiWJdqtpKQk4ebmJp599tlq29x8zmq1WluUZfd4zloXz9vKGMYasWvXrgl/f38RHR0thLjxW9gzzzwjhg8fLu68807xzjvviFOnTpnav/fee+KTTz6RqVr7dubMGeHk5CT+8Y9/CCGE0Ov1YtOmTeLDDz8UGzduFIWFhWbtExISxJQpU8S5c+fkKNduZGdni9DQUNG9e3fTsri4OBERESECAgJEv379xLFjx0y/AWdkZAhJksSoUaNESUmJXGXbhT///FO4urqK+fPnCyFu9I7v2bNHfPfdd2Lv3r2V2j/77LMiISFB5Obm2rpUu8Jz1rp43laNA/gbud69eyMtLQ0bN27EihUrUFZWhm7duiEkJATvvfcekpOTsWDBAqhUKqxZswbe3t4YM2YMPDw85C7dbpSXl2P58uVwd3dHt27dAACjR4/G5cuXodVqcenSJYwdOxbz5s0zjQdzdXXFvn374ObmJmPljV/Lli0xdOhQJCUlYeHChdiyZQtatmyJJ554Aj4+Pli6dClGjx6NnTt3IjQ0FL6+vjh16hSEEHBycpK7/EarrKwM8+fPh5ubGx588EEAwJgxY3Dp0iWkp6cjNzcX06ZNQ0JCgumOM0mS8P7772P27Nlylt7otWzZEkOGDMHvv//Oc7YBCSF43tZE5jBIt3H16lUxefJk4eLiIgYPHmx2rfy///2v8PT0FD/88IMQQogTJ06IixcvylWqXTtz5oyYNm2auPvuu0VQUJB44IEHxJ9//imKiorE4cOHRatWrcTkyZPNPtPUf1Orr5svM8THxws/Pz8xfPhwkZ6ebtYuPDxcxMTECCHMxz5SzY4cOSKio6PFkCFDxJ133imGDh0qjh49Ki5evCg2b94sHB0dxbx588w+k5mZKVO1jd/Vq1fF8ePHTe+fffZZnrMNqGJ83eHDh0V0dLSIjo7meXsThjE7cOXKFTFv3jyxa9cuIYT5oMbQ0FDx/PPPy1WaXav44VAhJSVFTJo0SQwfPtzs8q8QQmzatElIkiROnz7NQbu3UVhYKLRabaUbGt58803xzTffmI5bxXEcO3asGDdunM3rtEc5OTni5MmTpvPzzz//FH369BGDBw+uNLHz8uXLhbe3t0hLSzMFBp6zVbt8+bJo2bKl+Nvf/ib2799vWr506VKesw3g2LFjYvjw4aZJyZOSknje3oKXKe1AYGAgXnzxRTg7OwOA6Wn1ubm58PHx4VQKdXDmzBl8//33mDhxIgICAgAA7du3x+LFi3Hy5Em0a9cOAExzuun1enTs2BG+vr6maUT4iJPKTp48iWeffRZZWVnIyMjA0qVL8cgjj0CpVOK5556DXq83Hbeb58wLCwsDALM59MhccnIyJk+ejPLycpw6dQr/+Mc/kJCQgP/85z9ITk5Gq1atAJgfw4CAAHh7e5smy+SxrdrZs2eRn5+P/Px8fPDBB5AkCVFRUZgzZw6Ki4t5ztbD8ePHcc899+Cpp56Cu7s7hBDo2rUrPvroI5w8eRKBgYEAeN4yjNmJW8eASZKE9957D9nZ2ejTp49MVdmnlJQU9O7dG3l5ecjJyUF8fDy8vb0BAG3atEFQUJDpf/6KP//3v/8hODiYs2nX4OTJk+jXrx8mT56Mnj174siRI4iLi0N4eLhpLJ6jo6OpfXl5ORYtWoR9+/ZhyZIlAJrHD926OHnyJO6//37ExcUhLi4OW7duxZw5cxAbG4uOHTvijjvuMJ2bFcfw7Nmz6NChg+l5iVS9u+66Cw888ACGDx+OlStX4v3334erqyu6dOliNg6M52zt/P777+jTpw9mzZqF1157DcCN41VSUoJOnTqhU6dOprbN/ryVrU+O6mzt2rVi2rRpwsvLSxw9elTucuxKYWGhmDJlioiNjRWJiYlCkiQxZ84ckZWVZWpzc5d4cnKy+Mc//iE8PDzE77//LkfJdiEnJ0cMGTJEPPXUU2bL77//fjF79mwhhPlx3b59uxg5cqTw9/fnOXwbWVlZol+/fuLpp582LTMajWLo0KFi3759pvE2FVJSUsRLL70kPD09RXJysgwV25fy8nKRmZkpOnToIC5fviy+/fZbERkZKaZOnSruueceMXbsWCGEENu2beM5WwuWzAZw8uRJU/tz58416/OWPWN2KCwsDJ9//jl++eUXhIeHy12OXVEoFIiIiEDLli0xfvx4eHt745FHHgEAvPDCC/D29jb9hnbhwgU8//zzOHPmDH7++Wd06dJFztIbtbKyMly/fh3jxo0D8P+P6Wrbtq3pWakVx1UIgbZt2yIsLAxLly697ezbzZ0kSRg6dKjp2ALA4sWL8eOPPyI9PR05OTkICwvDSy+9BH9/fzz33HM4fvw4du/ezZ8PFlAoFPDx8UFkZCSSk5Pxt7/9DU5OToiJiUFpaSmmTp0K4MYwhk6dOvGcrQVLZwMoLCzE/Pnzm/d5K3capLq5edJXqp1b5wz78ssvhSRJ4vnnnzfdrVrx23JqairvULXQmTNnTH/X6/VCCCH++c9/ikmTJpm10+l0QojKN1BQ9W6e9HLt2rVCkiSxbt06kZOTI37++WcRGRkpFi1aJPR6vfjpp58qDYqm25s8ebJ48cUXhRBCPPbYY8LLy0uEhYWJKVOmiIMHDwoheM7WliWzAWzdulUIIcTu3bub9XnLnjE7dfPYG6qdirnBDAYDFAoFxo8fDyEEJk6cCEmS8Mwzz+DNN99Eamoq1q5da7pxgmp2xx13ALjRK6ZSqQDc6AXLzMw0tVmyZAkcHR3x9NNPmwbn0u2p1WrT33v37o3Dhw+bnsvXr18/+Pr64vDhw1CpVOjfv79cZdol8dfA8QEDBiA1NRUzZszAli1bcOTIESQlJWHOnDlQqVTo0qULfxbUUkBAAJYsWYJWrVph0KBBaNmypel4T5w4EQkJCfjpp58wdOhQ3H///XKXKyv+NKRmq+LOKKPRiEceeQSSJGHSpEnYtGkTzp07h4MHD/KHbx0oFAqzO6MqBpYvWLAAixcvxrFjxxjE6iE4OBjBwcEAbgRfvV4Pd3d3ix5kTZVVnKdt27ZFXFwc/Pz88MMPP6Bt27Zo27YtJElC165d+bOgjm43G0DXrl1lrrBxkIQQQu4iiORU8b+AJEkYOHAgkpKSsGfPHo4Rq4eKMWMLFy7EtWvXcMcdd+Cf//wnfvvtN1OPDjWMBQsW4NNPP8XOnTtNvZNUe2VlZfjss8/Qs2dP3HXXXZyywsoSEhKwdu1a7Nixw/TLRXPGX0+p2ZMkCQaDAXPmzMHu3buRlJTEIFZPFb1hKpUKH330ETw8PPDrr78yiDWg9evX4+eff8aXX36JHTt2MIjVk0qlQmxsbKUpQqhhffnll9i9ezfWr1+PXbt2MYj9hZMmEf0lPDwcR48e5eWeBhQdHQ0A+O2339CzZ0+Zq2lawsLCkJWVhV9++YUTPzcQziNofWFhYbhy5QrP21vwMiXRX3hZwjp0Oh0fqG4lZWVlppsliOyFXq/nTWi3YBgjIiIikhH7ZImIiIhkxDBGREREJCOGMSIiIiIZMYwRERERyYhhjIiIiEhGDGNEREREMmIYIyKygCRJWLhwodxlVGnPnj2QJAl79uyRuxQiqgOGMSKymRMnTmDcuHEIDg6Gs7MzWrVqhcGDB+P999+XuzSbCwkJgSRJppevry/uvfdefPfddzat4+rVq1i4cCGSkpJsul8i+n8MY0RkExWPRDp+/DimTp2K5cuX4/HHH4dCocC7774rd3my6NatGz777DN89tlneP7553H16lWMGTMGK1asqNV2+vXrh+LiYvTr16/WNVy9ehWLFi1iGCOSER8UTkQ28a9//QsajQaHDh2Cp6en2brMzEx5ipJZq1at8Oijj5reT548GaGhoXjnnXfw5JNPWrwdhUIBZ2dna5RIRDbAnjEisolz584hPDy8UhADAF9fX7P3n3zyCQYMGABfX184OTkhLCwMH3zwQaXPhYSEYMSIEdizZw969uwJFxcXdOnSxTR26ttvv0WXLl3g7OyMiIgIHDt2zOzzsbGxcHd3x/nz5xEdHQ03NzcEBgbi5ZdfhiVPirty5QqmTJkCPz8/ODk5ITw8HKtWrbL8oNzC398fnTp1QmpqqmnZsWPHMGzYMHh4eMDd3R0DBw7E//73P7PPVTVm7P7770fnzp1x8uRJ9O/fH66urmjVqhWWLl1q9rnIyEgAQFxcnOmS6erVq+v8HYio9hjGiMgmgoODceTIESQnJ9+27QcffIDg4GDMnz8fb731FoKCgjBjxgwkJiZWapuSkoKJEydi5MiRWLJkCfLy8jBy5Ej897//xbPPPotHH30UixYtwrlz5/Dwww/DaDSafd5gMGDo0KHw8/PD0qVLERERgYSEBCQkJNRYY0ZGBu6++27s3LkTs2bNwrvvvovQ0FA89thjWLZsWa2OTYWysjKkpaWhZcuWAIA//vgD9957L44fP44XXngBL730ElJTU3H//ffjwIEDt91eXl4ehg4diq5du+Ktt97CnXfeiblz52Lr1q0AgE6dOuHll18GAEybNs10ybQulzuJqB4EEZENbN++XSiVSqFUKkXv3r3FCy+8IH788Ueh1+srtS0qKqq0LDo6WrRr185sWXBwsAAgfvvtN9OyH3/8UQAQLi4u4uLFi6blK1euFADE7t27TctiYmIEADF79mzTMqPRKIYPHy4cHR1FVlaWaTkAkZCQYHr/2GOPiYCAAJGdnW1W0yOPPCI0Gk2V3+HW2ocMGSKysrJEVlaWOH78uHjkkUfM6hk9erRwdHQU586dM33u6tWrQq1Wi379+pmW7d69u9J3u++++wQAsWbNGtOy0tJS4e/vL8aOHWtadujQIQFAfPLJJzXWS0TWw54xIrKJwYMHY//+/XjwwQdx/PhxLF26FNHR0WjVqhU2bdpk1tbFxcX09/z8fGRnZ+O+++7D+fPnkZ+fb9Y2LCwMvXv3Nr2PiooCAAwYMABt2rSptPz8+fOVaps1a5bp75IkYdasWdDr9di5c2eV30UIgW+++QYjR46EEALZ2dmmV3R0NPLz83H06NHbHpPt27fDx8cHPj4+6Nq1K9avX49Jkybh9ddfh8FgwPbt2zF69Gi0a9fO9JmAgABMnDgRv/76K7RabY3bd3d3NxuT5ujoiF69elV5DIhIPhzAT0Q2ExkZiW+//RZ6vR7Hjx/Hd999h3feeQfjxo1DUlISwsLCAAD79u1DQkIC9u/fj6KiIrNt5OfnQ6PRmN7fHLgAmNYFBQVVuTwvL89suUKhMAs7ANChQwcAwIULF6r8HllZWbh+/To+/PBDfPjhh1W2seSmhKioKCxevBiSJMHV1RWdOnUyjalLT09HUVEROnbsWOlznTp1gtFoRFpaGsLDw6vdfuvWrSFJktkyLy8v/P7777etjYhsh2GMiGzO0dERkZGRiIyMRIcOHRAXF4f169cjISEB586dw8CBA3HnnXfi7bffRlBQEBwdHbFlyxa88847lcZ8KZXKKvdR3XJhwcD826mo4dFHH0VMTEyVbe66667bbsfb2xuDBg2qdz3VseYxIKKGwzBGRLLq2bMnAODatWsAgO+//x6lpaXYtGmTWa/X7t27rbJ/o9GI8+fPm3rDAODMmTMAbtytWRUfHx+o1WoYDAarhSkfHx+4urri9OnTldadOnUKCoWiUu9fXdzac0ZEtscxY0RkE7t3766yR2bLli0AYLocV9Gbc3Pb/Px8fPLJJ1arbfny5aa/CyGwfPlyqFQqDBw4sMr2SqUSY8eOxTfffFPl3aFZWVn1rkmpVGLIkCHYuHGj2eXSjIwMfPHFF+jbty88PDzqvR83NzcAwPXr1+u9LSKqG/aMEZFNzJ49G0VFRfjb3/6GO++8E3q9Hr/99hvWrVuHkJAQxMXFAQCGDBkCR0dHjBw5Ek888QQKCwvx0UcfwdfX19R71pCcnZ2xbds2xMTEICoqClu3bsXmzZsxf/58+Pj4VPu51157Dbt370ZUVBSmTp2KsLAw5Obm4ujRo9i5cydyc3PrXdvixYuxY8cO9O3bFzNmzICDgwNWrlyJ0tJSs/nC6qN9+/bw9PTEihUroFar4ebmhqioKLRt27ZBtk9Et8eeMSKyiTfffBP9+/fHli1bEB8fj/j4eBw8eBAzZszAgQMHTAPXO3bsiK+//hqSJOH555/HihUrMG3aNDz99NNWqUupVGLbtm1IT0/HnDlzcOjQISQkJOCVV16p8XN+fn44ePAg4uLi8O2335rmGsvNzcXrr7/eILWFh4fjl19+QefOnbFkyRIsWrQIwcHBphDYEFQqFT799FMolUo8+eSTmDBhAn7++ecG2TYRWUYSHMlJRM1UbGwsvv76axQWFspdChE1Y+wZIyIiIpIRwxgRERGRjBjGiIiIiGTEMWNEREREMmLPGBEREZGMGMaIiIiIZMQwRkRERCQjhjEiIiIiGTGMEREREcmIYYyIiIhIRgxjRERERDJiGCMiIiKS0f8BG9/ihgpI8cgAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 600x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3C Problem_I\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3C Problem_II\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for j in tally_list:\n",
+    "    for i,problem in enumerate(problem_labels):\n",
+    "        print(j,problem)\n",
+    "        # extract tallies\n",
+    "        if i<1:\n",
+    "            analytical = experiment_file.get_tally_dataframe(f'{problem}_analytical_{j}')\n",
+    "        else:\n",
+    "            mcnp = experiment_file.get_tally_dataframe(f'{problem}_mcnp_{j}')\n",
+    "        gmvp = experiment_file.get_tally_dataframe(f'{problem}_gmvp_{j}')\n",
+    "\n",
+    "        # openmc from results_database/\n",
+    "        openmc_mgxs = openmc_mgxs_file.get_tally_dataframe(f'{problem}_{j}')\n",
+    "\n",
+    "        xaxis = openmc_mgxs_file.get_tally_xaxis(f'{problem}_{j}')\n",
+    "        # plot results and compare\n",
+    "        plot = ofb.PlotReactionRates(xaxis=xaxis, ylabel=ylabel)\n",
+    "        plot.add_reference_results(reference_data=gmvp, label='gmvp')\n",
+    "        #plot.add_reference_results(reference_data=openmc_mgxs, label='ww')\n",
+    "        if i<1:\n",
+    "            plot.add_computed_results(computed_data=analytical, marker='d', color='tab:orange', alpha=.5, label='analytical')\n",
+    "        else:\n",
+    "            plot.add_computed_results(computed_data=mcnp, marker='o', color='tab:blue', alpha=.5, label='mcnp')\n",
+    "        plot.add_computed_results(computed_data=openmc_mgxs, marker='*', color='tab:red', label='openmc-mgxs')\n",
+    "        plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Evolution of the weight windows\n",
+    "\n",
+    "We're generating 9 iterations of weight windows values and we're ultimately using the 9th for a production run to generate the plots above.  But we can look at the weight windows values themselves on the mesh, along with the relative errors on the mesh, to convince ourselves that the iterative approach has sufficiently reduced statistical errors in the deeply shielded regions of the geometry."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "\n",
+    "def plot_mesh_tally_and_weight_window(statepoint_filename, weight_window_filename, image_filename):\n",
+    "   \n",
+    "    geo_mesh = openmc.RegularMesh()\n",
+    "    geo_mesh.dimension = [60,100,60]\n",
+    "    geo_mesh.lower_left = [0,0,0]\n",
+    "    geo_mesh.upper_right =[60,100,60]\n",
+    "\n",
+    "    plt.figure(figsize=(12,6))\n",
+    "    \n",
+    "    with openmc.StatePoint(statepoint_filename) as sp:\n",
+    "        flux_tally = sp.get_tally(name= 'Flux Tally')\n",
+    "\n",
+    "    tally_mesh = flux_tally.find_filter(openmc.MeshFilter).mesh\n",
+    "    tally_mesh_extent = geo_mesh.bounding_box.extent['xy']\n",
+    "\n",
+    "    # get a slice of mean values on the xy basis z=0 axis\n",
+    "    flux_mean = flux_tally.get_reshaped_data(value='mean', expand_dims=True).squeeze()[:,:,0] # originating at z = 0\n",
+    "    plt.subplot(2,3,1) # makes a 2x3 plot displayed 1st\n",
+    "    plt.tight_layout()\n",
+    "    # create a plot of the mean flux values\n",
+    "    plt.imshow(\n",
+    "        flux_mean.T,\n",
+    "        origin=\"lower\",\n",
+    "        extent=tally_mesh_extent,\n",
+    "        norm=LogNorm(),\n",
+    "        aspect='auto',\n",
+    "        interpolation='nearest'\n",
+    "    )\n",
+    "    plt.colorbar()\n",
+    "    plt.title(\"Flux Mean\")\n",
+    "    plt.xlabel('x (cm)')\n",
+    "    plt.ylabel('y (cm)')\n",
+    "\n",
+    "    # get a slice of relative error values on the xy basis z = 0 \n",
+    "    flux_std_dev = flux_tally.get_reshaped_data(value='rel_err', expand_dims=True).squeeze()[:,:,0] # originating at z = 0\n",
+    "    plt.subplot(2,3,2) # makes a 2x3 plot displayed 2nd\n",
+    "    plt.tight_layout() # this will fix the overlap on plots\n",
+    "    # create a plot of the flux relative error\n",
+    "    plt.imshow(\n",
+    "        flux_std_dev.T,\n",
+    "        origin=\"lower\",\n",
+    "        extent=tally_mesh_extent,\n",
+    "        aspect='auto',\n",
+    "        norm=LogNorm(vmin=1e-4,vmax=1),\n",
+    "        interpolation='nearest'\n",
+    "    )\n",
+    "    plt.colorbar()\n",
+    "    plt.title(\"Flux Rel. Err.\")\n",
+    "    plt.xlabel('x (cm)')\n",
+    "    plt.ylabel('y (cm)')\n",
+    "    \n",
+    " \n",
+    "    wws_=openmc.hdf5_to_wws(weight_window_filename)\n",
+    "    ww = wws_[0]  # get the one and only mesh tally\n",
+    "    ww_mesh = ww.mesh  # get the mesh that the weight window is mapped on\n",
+    "    ww_mesh_extent = ww_mesh.bounding_box.extent['xy']\n",
+    "    # this is calling the upper bound and shaping it to create plot\n",
+    "    reshaped_ww_vals_upper = ww.upper_ww_bounds.reshape(geo_mesh.dimension)\n",
+    "   \n",
+    "    # get a slice on XY basis, at z = 0\n",
+    "    slice_of_ww_upper = reshaped_ww_vals_upper[:,:,0]\n",
+    "    plt.subplot(2,3,3)\n",
+    "    plt.tight_layout()\n",
+    "    # create a plot of the ww upper bounds\n",
+    "    plt.imshow(\n",
+    "        slice_of_ww_upper.T,\n",
+    "        origin=\"lower\",\n",
+    "        extent=ww_mesh_extent,\n",
+    "        norm=LogNorm(),\n",
+    "        aspect='auto',\n",
+    "        interpolation='nearest'\n",
+    "    )\n",
+    "    plt.colorbar()\n",
+    "    plt.title(\"Weight Window Upper Bound\")\n",
+    "    plt.xlabel('x (cm)')\n",
+    "    plt.ylabel('y (cm)')\n",
+    "    \n",
+    "    #plt.savefig(image_filename, bbox_inches=\"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/tallies.py:1278: RuntimeWarning: invalid value encountered in divide\n",
+      "  data = self.std_dev[indices] / self.mean[indices]\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another MeshBase instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/tallies.py:1278: RuntimeWarning: invalid value encountered in divide\n",
+      "  data = self.std_dev[indices] / self.mean[indices]\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another MeshBase instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another WeightWindows instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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u3LgRf/vb33ptfLdt21b4/9/85jf45je/ifXr1yOTyRT+bvNCsb04jRgxwsj7VhRF2d8YynEgmUzi17/+NQDgX//6F2688UZs27ZNDCZs3LgRQFdaoI36+vq9qL1JqdfLNuNeKesURRk8HMfBvHnzsGbNGvi+j8cffxxjx44tzJY5b948fPe73wVgeiZt3LgRQRD0avRczLT8jTfewIQJE1BdXS3+3tssnclk0ujr9ke/9MQTT8Rtt92GHTt24IknnoDrunjXu94FoOvcv/e97yGTyRjnXoxS6tp9/rW1tWK7Qw89VCy/8cYb1r8DXR8lfve73xUmhTjppJOQz+fx5JNPYvLkydi2bRtOOukkvPjii+Jj1IwZM0JT2ErB9v7A90JtbS0mTJhgvMNMnz7d2P+QQw4B0JWaPn78+LLecYDy48zo0aMxf/78wvIZZ5yBQw89FB/60IfwX//1X/jc5z5X1vUvl7B3re3bt6Ozs9P6fB166KF79SFMKY5+jFKGDLaGFoBhQthNJpPBI488AgB47bXX0NHRYQTaMBKJBM455xzcdddd+Mc//lHUfNH3fbz3ve/FV7/6Vev67ob90UcfxZlnnomTTz4Z3/ve9zBhwgTEYjHccccd+MlPfmLs57qutbyAcr4VRVGGO/syDriuKzrHCxYswGGHHYZPf/rTBWPabuPWu+++u2C22hM2Xt1X9PxgVs46RVEGlxNPPBG//vWv8fzzzxf8orqZN28evvKVr2DLli147LHHMHHiRBx44IEAutoix3Hw4IMPWvuN/KFlb+itX7q3dH+Mevzxx/HEE0/gqKOOKtR73rx5yGQyWLt2LR577DFEo9HCh6rBqGsYxx57LJLJJNasWYMpU6Zg7NixOOSQQ3DSSScVPqo9+uijQpHUG8lkEplMBkEQGDEwCAKk0+kBn0mw1Hecbvojzpx22mkAgDVr1hgqtTDK7Svou9bQRT9GKUOGbsPY5uZmNDY2Fv7e/aWcueqqq/DSSy/h5ptvxn/8x3/g8ssvx3e+852yj3v++efj9ttvRyQSwXnnndfrdgcddBDa29vFy4uN+++/H8lkEr/73e+QSCQKf7/jjjvKrpuiKEolMVhxAAAmTJiAL37xi7jmmmvwl7/8Be9617sKsv6xY8eGtv2Koihh9DTyfvzxx/GFL3yhsG727NlIJBJ45JFH8NRTT+H0008vrDvooIMQBAEOOOAA48NAGFOnTsWf/vQn42N9z5ntyqW3jwHF6HnuTz75pJglcOLEiZg6dSoef/xxPP744zjmmGPKHmDujalTp2L16tVob28XH+1eeeUVYzvb3wHg5ZdfxujRowuqnHg8juOOOw6PPvoopkyZgpNOOglAV/peJpPBPffcg6amppLMy6dOnYp8Po/XXnvNUKu9+uqr8DyvULeebNy4Eaeeemphub29HW+99Za4b7rL4A9df//73wGgMCNdqe84/Uk+nwfQVW+gvOs/YsQIq2l/b32FMMaMGYOqqqqCGrontvoo/Yd6RilDhu5Of8+85FQqhbvuusvY9qmnnsLNN9+ML3zhC/jSl76Er3zlK/jud7+LP//5z2Uf99RTT8U3vvENfPe737WOfHfzkY98BE8++SR+97vfGeuam5sLjarrunAcR3ydf/3117Fq1aqy66YoilJJDFYc6OZzn/scqqur8X//7/8F0KWWqq+vx/XXX49cLmdsv3379qLl/fOf/8TLL7/c5/r0B6+99hpee+21Qa2DoihddCtq7rnnHmzZskUooxKJBN75zndixYoVSKVSIk3tnHPOgeu6uOaaaww1RxAERWdgXrBgAXK5HH70ox8V/ub7PlasWNHn8+j+UFRsFj9m4sSJOOCAA7B69Wo888wz4tyBLnXUqlWr8Morr/Srz9Lpp5+OfD5fmAEQ6FLQ3HbbbWK7CRMmYNasWbjrrrvEeb3wwgt4+OGHjY88J510Ep566in86U9/KnyMGj16NA4//HB861vfKmwTxsKFCwGgkKLZk+7fqHubnvzwhz8Ucen73/8+8vm8se2bb74pZoRrbW3Ff//3f2PWrFmF955S33H6k+40+e4ZE8u5/gcddBBaWlrwt7/9rfC3t956q88z37muiwULFmDVqlX45z//Wfj7Sy+9ZL0mSv+hyihlyPBv//ZvmDJlCj75yU/iK1/5ClzXxe23344xY8aIhiGdTmPx4sU4+OCDcd111wEArrnmGvz617/GRRddhOeff76sfOJIJIKvfe1rodt95Stfwa9+9Su8//3vx4UXXojZs2cjlUrh+eefx89//nO8/vrrGD16NM444wzceuuteN/73ofzzz8f27Ztw4oVKzB9+nTRaCqKoiiSwYoD3YwaNQoXXXQRvve97+Gll17C4Ycfju9///v4xCc+gXe+850477zzCnV54IEHcMIJJ1hfILq54IIL8Oc//7nkVIAHH3zQ+vFq3rx5hXSdculOhdibabEVRekf4vE45syZg0cffRSJRAKzZ88W6+fNm4dbbrkFgPRMOuigg/DNb34TV1xxBV5//XWcddZZqKurw6ZNm/DLX/4Sl1xyCb785S9bj3nWWWfhuOOOw5e+9CW8+uqrOOyww/CrX/0Ku3btAtA3lVNVVRVmzJiBe++9F4cccghGjhyJI488EkceeWTR/U488UTcfffdACCUUd3n/tOf/tQ4971l0aJFOOGEE3D55Zfj9ddfx4wZM/CLX/wCLS0txrY33XQTFi5ciOOPPx6f/OQn0dnZidtuuw0NDQ2GlcdJJ52E6667Dps3bxYfnU4++WT84Ac/wLRp0/COd7wjtH6zZs3Cpz71KXz729/Gxo0b8d73vhdA1wQav/3tb/GpT32q8MGmJ9lsFqeddho+8pGP4JVXXsH3vvc9nHjiiTjzzDPFdocccgg++clPYu3atRg3bhxuv/12NDU1iYyNUt9x+sqWLVvw4x//uFDv5557Dj/4wQ8wevRokaJX6vU/77zz8B//8R84++yz8fnPfx4dHR34/ve/j0MOOcQ6WVQpXHPNNXjooYdw0kkn4bOf/Szy+Txuu+02HHHEEfr+NpAM1jR+yvCle8rRtWvXFt2Op/QOgiBYt25dMHfu3CAejwdTpkwJbr31VmNK7y9+8YuB67rBU089JfZ95plngmg0Glx66aVFjxs2hWoQvD116U033ST+3tbWFlxxxRXB9OnTg3g8HowePTqYN29ecPPNN4vpVf/f//t/wcEHHxwkEongsMMOC+64445epxu97LLLSro2iqIo+wv7cxx47bXXAtd1Rb3+9Kc/BQsWLAgaGhqCZDIZHHTQQcGFF14YPPPMM4VtbG38u9/97pKmhO4+v97+dU893lts6nn87du3i79PnTrVOgW2oiiDwxVXXBEACObNm2es+8UvfhEACOrq6oJ8Pm+sv//++4MTTzwxqKmpCWpqaoLDDjssuOyyy4JXXnmlsI1t2vvt27cH559/flBXVxc0NDQEF154YfD4448HAIKf/exnYl9b22hr35544olg9uzZQTweDwAEV111Vei5/+AHPwgABJMmTTLWPfvss4U2r6mpSazrbvu628Jy67pz587gE5/4RFBfXx80NDQEn/jEJ4K//vWvRplBEAR/+MMfghNOOCGoqqoK6uvrg0WLFgUbNmwwjtPa2hq4rmv8Vj/+8Y8DAMEnPvGJ0OvRjed5wbe//e1g5syZQTKZDJLJZDBz5szgO9/5TuB5nti2O178+c9/Di655JJgxIgRQW1tbfCxj30s2Llzp9h26tSpwRlnnBH87ne/C44++ujCe8l9991n1KGUd5xiMag3pk6dKuJZJBIJxo4dG3z0ox8NXn31VWP7Uq//ww8/HBx55JFBPB4PDj300ODHP/7xXr9r/fnPfy7c0wceeGCwcuVKa5lK/+EEgTp3KYqiKIqiKIqiVAqrVq3C2Wefjccee8xQKSlDlzvvvBMXXXQR1q5dGzr76rRp03DkkUfiN7/5zT6qnaKUh3pGKYqiKIqiKIqiDFM6OzvFcrdnUn19Pd75zncOUq0URal01DNKURRFURRFUSqI3/zmN/jSl74E3/fxH//xH/jUpz412FVSBpDPfe5z6OzsxPHHH49MJoNf/OIXeOKJJ3D99dejqqpqsKunKEqFoh+jFEVRFEVRFKVCyOfzWLZsGf70pz+hoaEBs2fPxtlnn41Ro0YNdtWUAeI973kPbrnlFvzmN79BOp3G9OnTcdttt2Hp0qWDXTVFUSqYQU3TW7NmDRYtWoSJEyfCcRysWrVKrA+CAFdeeSUmTJiAqqoqzJ8/Hxs3bhTb7Nq1Cx/72MdQX1+PxsZGfPKTn0R7e/s+PAtFURRlINFYoSiK0n88/fTTOOKIIzBp0iTU1tZi4cKFePjhhwe7WnuNxoreOf/887Fu3Tq0tLQgk8ngxRdf1A9R+ykXXnghgiAI9YsCumZRVb8oZSgzqB+jUqkUZs6ciRUrVljX33jjjfjOd76DlStX4qmnnkJNTQ0WLFiAdDpd2OZjH/sYXnzxRfz+97/Hb37zG6xZswaXXHLJvjoFRVEUZYDRWKEoivI2YR9dAGDFihWYNm0akskk5s6di6effrqw7s0338SkSZMKy5MmTcKWLVv2RdUHFI0ViqIo+xmDOZVfTwAEv/zlLwvLvu8H48ePF1NHNjc3B4lEIvjpT38aBEEQbNiwwZg6+sEHHwwcxwm2bNmyz+quKIqi7Bs0ViiKUun89re/Df7P//k/wS9+8QujTQyCIPjZz34WxOPx4Pbbbw9efPHFYMmSJUFjY2PQ1NQUBEEQ3HfffWKq8xtvvLGsqdr3BzRWKIqiDH2GrGfUpk2bsHXrVsyfP7/wt4aGBsydOxdPPvkkzjvvPDz55JNobGwUMsX58+cjEongqaeewtlnn20tO5PJIJPJFJZ938euXbswatQoOI4zcCelKMqgEQQB2traMHHiREQifROFptNpZLPZkrePx+NIJpN9OpZSGhorFEXpTwYjVgRBYLQpiUQCiUTCuv3ChQuxcOHCXsu79dZbsWTJElx00UUAgJUrV+KBBx7A7bffjssvvxwTJ04USqgtW7bguOOOK7m++yMaKxRF6U/0vaJ/GLIfo7Zu3QoAGDdunPj7uHHjCuu2bt2KsWPHivXRaBQjR44sbGPjhhtuwDXXXNPPNVYUZX9g8+bNeMc73lH2ful0GgdMrcXWbV7J+4wfPx6bNm0adoFjKKGxQlGUgWBfxora2lrDl+iqq67C1VdfXfbxs9ks1q1bhyuuuKLwt0gkgvnz5+PJJ58EABx33HF44YUXsGXLFjQ0NODBBx/E17/+9bKPtT+hsUJRlIFA3yv2jiH7MWogueKKK7Bs2bLCcktLC6ZMmYJ3XPM1RHr5cZ2cObIRxAL5B5824I+ktLlZoO3AIfvweqqDYyuT/ub4spDAlRs4nlzv8HmWcAyuJ5cR0LVybM9lSJnGudN58f6RnOUYIRj1duWym0Eoid2yIh4NfOarZL2j6bAbx/KbEGHX11bvSF4eN1cr68X7+HQtIpbfMJaSFc3WyorxuTqeXM40yu0fWx5uvvlvH/s2ACCfS2Pd765HXV1d6D42stkstm7zsGndVNTXhY+AtLb5OGD2G8hms8MqaFQSvcWKs3/1EcRq4gCAGleOaKW8eGi5cXoA/UA+WzuytWJ5avWu0DK30z7xSF4sR6gBjFKjkfZjRpkN0bRYjtJDvTNbI5bHxNvEcj3tvyXdaBxjatVOsZwlwbZHjVdbXj5LNZbGqyUvpymfnJTXL0cN9/hYi1jelB4jlqdXNRnHiFDAeTU9XiwfWvWWWN6d59/HDEBJR95Lc5KbxbJLv+HfMhPEcm2k0yhzXFR+4MjR9fQpkCbo3uTtR0TCR3C3e/L6j3ZlvbIckCw0ROT15XAy2pWBM+HI+/eVbIdYPnzyK6HH9JuOAQC0tvuY+s7X93ms2Lx5M+rr6wt/700VFcaOHTvgeZ71o8vLL78MoOsDyy233IJTTz0Vvu/jq1/9qs6ktxf0FiuO+sjX4ca62qxIjvp+cbODz3127qvxo5OrkWUkd4d0BmH25RwZKow6cF/QVm+jn0rVyFfLfWLtcgPeP1tvPjeJ3RQ3Y/TuEpHLXoL6rFmzL51PUvvXLI/BZcZbZbudHiXjfXKHGY8cXx63c6yMYVXbZJz0qmQM5H4wAESysp6xzTvkBh61n+8YLcvM0I8OINKakn9wZZwMSOHneHRzkjIoSJnxyKBO9iEc3scNbz+DDtqH6um3yfMKcjKGRSfJOHr/hm+FHvMDDRcAAPLI4TH8Vt8r9pIh+zFq/Piujl1TUxMmTHj7RmlqasKsWbMK22zbtk3sl8/nsWvXrsL+NnqTPjtVCThVe/5OLwcRs58On64eN+BBhP9AD3L4N4ZQ+BhOPvwYQcgHLq42/OIfo2wfjjgB1Ppxqef6Eq5F2AesiOWDYbE62BSV/HEprN6Ma/mbUe8GWpb9dkTpmNGceXE4yEY75Tb8QStG6x0+d0ubxu+mUf7d6RFyuZq2i0E3V4yCRtTlj09yfUOTvDg9O+69kR/TFey8bFeF9lYyX1Pb9S+M7v7DnDlz4LouLrvsMlx22WV7dWzFZDBihVudhFvd1Ql1qMMW46+yAPL0t4grO4KdedmhrYrLB9RLyA4bf7wCgCAiG5JYTHaKuQ41cdmB83LmR7RcRO7Dn09qE/SBK0YfCKgxm1RtdtRTfqPchz6iJegDWCKQy67RmAER/ojtyHailj5gNUN21McmZR3cqNlAZqiBTETlchW9UGQ8rqd5Xx0Q3y2WWx0ZLLbm5fKYpPzgMtLyYa7Zk/sk6SNYjs6jxpVl1lIQTDrm/d1GZYyiN9ER9ELBV8IWKlzLcXoyhj5GvUQfn6bSy28pseL11q4y2vJd9d/XsaK+vr6kevYXZ555Js4888x9drzBZjBiRSSRRCTe1X643LmO2dpx2p++GfDgZZT7rNVUoOUWdqjPyc0G94OjHVRvy8co60PcswxejlPsoI8nkbx5DH8EfVyij2T80SbK7y7Gyw0QoQvk0PMazcp6+aNkLEjQMd2keSH8KPXH6UeL8vuSSx+jLPWOtcr2zhkhPyTnG6g/0CE/wDhZ8+UmaBgpt6GPTUFM1tvpkDeOk6cybfdJgvoZvry+Ad8pXE/P9rGV7y7qP9F9Ep08TR4zJa9lKW1wYuxEAIDrZ4Ed+z5WDDcGdTa9YhxwwAEYP348Vq9eXfhba2srnnrqKRx//PEAgOOPPx7Nzc1Yt25dYZs//vGP8H0fc+fO3ed1VhRl+OMjKPkfAKxduxYbNmzQD1EDhMYKRVGGIuXGijlz5mDGjBm9zgRXKqNHj4brumhqkoq+pqamoh9UhjsaKxRFGYqUGyuGG4OqjGpvb8err75aWN60aRPWr1+PkSNHYsqUKfjCF76Ab37zmzj44INxwAEH4Otf/zomTpyIs846CwBw+OGH433vex+WLFmClStXIpfLYenSpTjvvPMwceLEQTorRVGGMz58IyO3t+0AVUb1BxorFEXZ3yg3Vqxdu7ZflFHxeByzZ8/G6tWrC22g7/tYvXo1li4NT23fn9FYoSjK/ka5sWK4Magfo5555hmceuqpheXufOvFixfjzjvvxFe/+lWkUilccsklaG5uxoknnoiHHnpI5Enec889WLp0KU477TREIhF88IMfxHe+852+VSiCt7Vigfz6yHnDXdvTNmGeRk7I9rb8OZZnsg8Sa9toObDct0YqGmcT0j5GtiH7D9lSAcPqTZQicCzBZoIKLf6DWMszfrOQQ3AKnu0nJJVpnmTURn4+5cJwXjxg5vBzWh7nxvNvbnh4menjxvUh+xdjPaetcuogYHoNxMk3IFdN6Rys0E2E3ynvOv8W+YfuffppQMELAnjGw2vfDui/F4xKZqjFinwQgbPnAeCUuSw/CACynnwA2acn68l92JuJj8E+Pl3byL/tysjUvlpK22vOShl/XYwecEuZMarXvzoaxXKVKxuvVvJ38ixi7E7PkgPfg3bKS+E6NcakxB4wU/3YI8qlhjtJqWgxWm4hDyQA2J2T13daUnp2pHxZb7eETmQ6kNciR7kvXOaYaKtYbvPNdEL2J2v2ZAA6LL5drvdlGkWarh0vd/1N1rsxIu+lNkoRTVEef51j+me5FBjraPlvWXmMJK0f68rfx0bnW9PEcoz+u7eUGyvKIeyjy7Jly7B48WIce+yxOO6447B8+XKkUqnC7HrDlaEWKwL37f6X77I/q7m9ET4cXk8WIpy3w9tbvSPkIvs5cf8xxz6mGfN+ZT8hrlea/D75GPkq8huydPVMW0O6ntS/5DLYrgIAXLLB4N+Im+0IpZVxaqBnSdPjc0vukilzQUyuZ48p23sIp8wF7O9Eqf5OK51I3GzlHGqH/KSMBe42mUYeVMl4FHDOKC8DQIxSEDsp1S8ujxkkZD2dtMWzkN/XyUMqOm2K3D4n+wfebnleNv4t8TGxHKnfk1Pnl+nl0gsDGSv2Bwb1Y9Qpp5yCoMiFdRwH1157La699tpetxk5ciR+8pOfDET1FEVRDEqVyg5XOe1goLFCUZT9jXJjRTkq2rCPLueeey62b9+OK6+8Elu3bsWsWbPw0EMPGabmww2NFYqi7G9U+nvFkDUwHxQcvP0FmidiM9yZYaqSeOAzTGVjGIVbjsH7sOKI68mKF6v6h74i8z4hDud8LQLb9mECFq4Xf1wuQSplzmxX/CE1FF6Wuz/MJJ3rxeaS1hGMEEVX2OyElkF5xOQEScaIkcuDByHqNpv5pHFuBI+48SifTdEVIyPMTAONhlEZVTvlxUnslpU66cybjGNkx5NR89aumyuf658RDB8BvAF6wVD2D7Kei2CP2qmGBwMtU1u2k6Il7sp7MU8PZDXNWMZKKDYjB0w1VSorRxhZGdWel3Xi/QGgMSZHGPP0gOZ9Wa8MDeuzAsw6850vGzhq2gyFDM8SyMopwFQhsdk4X98OyGuVo+s7IkazDMFUefEx0hRgkiQ/HRdrNspkxVazJ9U9k2JyBHdURKrCXs6afkATaZ8Ouhc76DdjFRnXm1VkABCn6z2GfqPtdAyeFbAuYj4zE1yp4Ho5J+8dfiaOjhefWWjnlknG3/6Rl/Wanega7a6J+gC2GduXS7mxohwVbdhHFwBYunTpsE/LG+r4LtDtxc9dVNssyAErc1j5xJkJ1Ncz+mWW/icf16NHh/uPXpJVT2aZLqml+LhG/zBqvHhQHWwz31GhZIIeNrlSPmFeDM5M4OvnZmlmNsqS4d/L7TR/VDOLgGY0JWVUJEczDbaZaiBDkVUt40+0WSpHnQ65nBvfaJQZbZbxxE9Su02qJp5tz8mx277lRiED8qBFzsDr1EsXb1aJBWlTwe3tlLPlRqe8Q25As1Xlt7xp1qsHCxouNv7mTpYpuvl/vN517KAP07JbKDdWDDf0Y5SiKEoZlDuCoWl6iqIolUelj3YriqIo4VR6rNCPUYqiKGVQ6bndiqIoSjgaKxRFUZQwKj1W6MeoHgROgMDmxg3AsRiY87a2bYptb5hIW9Ld2Ag8LIXOMFUvvrV9I8MwMSQ1kPPfEJ4uaJxGSabo5t+KwabcbAxZyjEMGXUfJjIwjstSYla2kmSaDc0BIM+yaT5XSpFj6XFNk6xExxjz4iZaSAZM2TAeHSPeXsJXfUon5GuTbJZlsFH7n/5wuVh+56dvNY7hkor30V99BUDXFM4NDVeG1jEMH6XdBsNzzgsF6DIpD/bcvBFqSNhsHDBTy8LWZ62usz2OYckH7sjLVLMINey8nCSzcVvq346MlMwnXFnP6qhMH2Dj8JRXvE4A0JaTDcuoBJmL0vVkw/NaS+pfa16m/vFvsptmkRgbk6kCnFa5I1dnHINTAasjsh4JyOvL6W9sxA6YBuVtFAzqIjJt8rXcGLHMxusAsDk3SizXUD1fz8v1WarnScktYvmpjJkKOCPeJJZfyRVXgo5zORnT5J95mTLS7MvfbGSE0zXoXhu/USy/8QaZ2AKYHJW/UWT8G13/rW4F0BBaxzDKjRWa0j38CKIOgu6UNDZatjlcsF0Hd7+pT2SYoHMTa+k380Qyxj7GpDps8m2W6VcXT+XjtDvu25UyOY3RN6ZmhK9nwPYVFuN1I/WPzd3JfDyWkieWY9P06vBUwEi+uAm6MWGW5d2SU+j8hPxRIp2yHt5o2SZzHQAg3yjb2EiWYvEoGQcDl0zpX5Oxwj/AnH3SfUum1GGCjGHG62irmSJvlDmWykjKOOqkZNxkfu/fJ5YXHvglY5tgl0x3796n671i38eK4YZ+jFIURSmDbBAgW8LoRPc2+oKhKIpSeZQbKzSlW1EUpfIoN1YMN/RjVE8isI4iAEBg0xgZ5uHFRzTKNjTvrlPPTWwm5z2LDFFnWWHT7lJM0HtubzNI5EvBzo0+jSbweVqOYwz6hpwqG5Q7Oa6UTYnGfyh+SENJZfHr45ErQyBH+wRkWB6UUGasjY3BaSpeGkTO1JPpom2qXjq3sNE0Ht1h9RYA+FQGq69YNRZtlyd/7EVSCUWD5QCA0S+Hj7rvDeWOYOgLxvAj4gQFRVSGholtRuA+qZby1I6zSqYhLlUhKdrfZpLekZPbVMekaonVVqwWiroW43UyOd+elkqpEQlZz/qoHIH8V0ejPEYy/Mlh5VOW5JNjE1LF9FbaHJVsjMt6sCE5szMnjcJZ7WZTHNWRBHNTRo7Oskn6aFJfpXnYHsCunLy+hyal0ep4t1Usv54bbZQRxlHxrWJ5bXqyWB5JqqU3Sd12cGy7UWYdXS9WV/nUkUnS/dvmm52IFlKJHUpm+qNd+ZsxL2+Wo/JbvZHGNrMSpqquP6n00W4F4iYIU8kDQOCwQXbxTigrwelxtfZJDcNyKoP7l8Y7ga1MUjaR4BXRlDyPKPU50yNkG2A7hnFMViVRvVmtn6k325lompVmVCade46UT0Z/3vKbummaUGOEbPtZeRZrl4okNjwHgHwNTZDRJGNxpFUu50eb6t4w3Dd3yjKmjpXH6JAxzqmXx3C3txhlsgF5MIr6xg5fcKledZLmRBVBNf3tLTn5RL5Vxk1m4eR/F8s+1wmA//o/i5axt1R6rNCPUYqiKGXgw4FXwnSPtlQqRVEUpTLQWKEoiqKEUemxokwXHkVRlMrGD0r/pyiKolQm5caKOXPmYMaMGVixYsXgVlxRFEXZZ1T6e4Uqo3riBG9rLlmb2ZfPdmV+wLQZgRuEpcxxPmkJRTosiyTdqZHNxn9gg3MAyHOZfIiQioUZtVvrVfSQoSl4Xdtw2phDy8XLtFWbs3ZYfkxeuoZhOacb2rbJ1RS/X91OSqGj7d20eTEMs3FajpHsmk3TbYaULIn2o3x9qZ61Unedq5Pbc3oiADz8lDQpf897bugqK8+Gt33DK3EEo5RtlP0TP3AKaW6cYhezpOnlaZso5DacQsem3ZxSF7HEinReNhRsNs5lpCiPwmaozfvkKZ2K0wUzlIfCKYt8HWxwParIaD1sPWCm5fFx2Xycac1L2b9rme0iSY1wQ1SmRSSd4tff1jzUUr4MG5q/7E0Qy3yfpAPK0QEwKSYNY5/PSgPyVl/mhU+L7RDLW/KNsrxos3GMf1A6J6cgjnVliiJf/Tc9M4VkjCuNa3mfFl+m7TV5couNZNx+YJSMcwFExpPh7taDu/7b1j/JEOXGCk3pHoY4ePtZ5ybAdptxE0nhhPtMoR1fC9yXM/qcVIbRl7PN/mNMbESrQ84jYph4m4cIwzgP7gdbJgNis3CjmQ55+8/TtbFdmkiueH87kpM3AteJLTAAIJqWF9SPUx9ifHFTbd4eAGLNMv54k2QauEem6e4u2UZ7jTLN3G22WGaMlunSgUvG6+2yXXci8kcMGuQxANOg3CizhtLwKZ3QH9Mo1+8w0wt/Rybn7418GACQDyw3VR8Y6u8Vv/nNb/ClL30Jvu/jP/7jP/CpT32qX8tXZZSiKEoZdAeNUv4BOtqtKIpSiZQbKxRFUZTKYyjHinw+j2XLluGPf/wj/vrXv+Kmm27Czp07w3csA1VG9aSngTkrd3zLDWA414WUH2ZoXsoxjDJDRlttdWLxFKuBjOEb2p9nKbd90gwZJTHNr1nZYzHUpkKto0pl4MfMY/AIhlEHHu0xrqVlH64nXxt6Cg1xm01tRdPkZkawIbncnpVQfO1s1zJfVfw+iHbIOrA6y5hyGOb1Se6WozvpEXKnTL1c5hGiZ+5YZh6E6BjXpRbI5/pntLunKiZsO0BHu4c7rGriZcA0xM6zEooUR2ky8W5nN1gLySgpceiBTZJSio+RjJojfHyfZzzZWHWQsfqWdKNYHpWQI6ctOZqdAUB1VJqgbuuUo5YTqqX5aI4aEV4GgBjpaFg9FY3I9Xyeo2Ky3u2eef1z1MBFaAR9TFyqgbbn5XnlLJLXqXFpDu5Sw5ymY+TARuEcnIHGiFRsbSRlVNKR13+rJ0fUx5Bpeh3LDwBszcn2LU4yiOkxOeLOSiq3BAk3zyLk0cweHST3qIvIYx4xRaqg9gXlxgplGNJDGWUYg9vmVeBXDzbUpn3YsJxVTLZny/IIy/XUjIQpqQDzPYInq+F6ZajZZqW9bQIcmhPCUMrHW4urq6yTLVG3MJIvPqkO94NjlHVgTPQDy+9OP0kkJQ/C5uQRy8RUrGLivrHxHkH3kZM3+8NOp7zA+TFShRTJkhqrXsbzSBtlH6TNCSKCBqlScnyqR5NU5gZjpcLVODEbrCyL00OSlPGHz/vBfy4PP0Y/M5RjxdNPP40jjjgCkyZNAgAsXLgQDz/8MD760Y/22zFUGaUoilIGQ3kEQ1EURRkaqIpWURRFCWMg3yvWrFmDRYsWYeLEiXAcB6tWrTK2WbFiBaZNm4ZkMom5c+fi6aefLqx78803Cx+iAGDSpEnYsqV/B3f0Y5SiKEoZeIiU/G+o0dzcjGOPPRazZs3CkUceiR/96EeDXSVFUZRhSbmxYu3atdiwYQMuu+yyQa65oiiKsq8YyPeKVCqFmTNn9jrIce+992LZsmW46qqr8Oyzz2LmzJlYsGABtm3btrenVTKapteTngbm/PXRZi5upMSFyAc5Da+UD5xhpttGnlgJZYal4RlpYiRbLeFZCNyQihimgXQM0wPY/A3CUhRD5LWlXH9rPXpWgeS3jpklYcCSZ/K9hSe9c83zgClPNowaSR3rk0rVuHRUJ8A8t2iIjNqQh2fMeyBGqX2dozgNT27PUu/6N8Iv8LyP3CyWE+1dF9DNhfyYJRKUKKcNhmDqRV1dHdasWYPq6mqkUikceeSROOecczBq1KjwnZUCnu/A8e0NoS2lLklpYlm/eOjl9Le4S/J4y73VkSPT6LhsBDhVsDMvt+d0ORs1tE2cUv/43OOU78HnBQARmgCDz5VN0vna2czF2UidUxaj1NDEaJnT33g9ACSosee0PY8aZTZeHxdvNsps9uRsFh1kYD4xtlssv5kbIcuMmWVyWh6bok+j1ECut1Fezmwr0hRgjkq8JZabvOLXojpipnMk6ZpzRhNnCm2h9MK5iXBPi9Y3J4vl2ggH371jf44VSv8QOG/3z0KNwQFEcpRuxYblnMZHE8dwH9R2a3FqX1T6PxupaZyl7IaHCsOkm5tQPneuty3djfuUXGaYSbrt/YhDsUPvJj4fw+iPh6T1wfKbusWfd2OOqDbzgvtJGb/9OE0u0irb1Hy9bNtsZeYoLY9NzmO7y5sEyB830vwblRndQu10g0z5DniCrZzlHSBD58Km81HqD3Cq4D/+ZZZJLKj+ROg2e0O5saK1VabPJxIJJBJ2O4eFCxdi4cKFvZZ56623YsmSJbjooosAACtXrsQDDzyA22+/HZdffjkmTpwolFBbtmzBcccdF1rXchh6Q/eKoihDmP05Tc91XVRXd73wZjIZBEFgzsCpKIqi7DX7c6xQFEVR9g3lxorJkyejoaGh8O+GG27o03Gz2SzWrVuH+fPnF/4WiUQwf/58PPnkkwCA4447Di+88AK2bNmC9vZ2PPjgg1iwYMHen3QPVBnVEzEFax8MzMNUTKzsKUkZFVIPQxlVyryuxfdhI0KGVU+O1WGbj1n0kKVNecv1YON1ujbGMXho1XKaXKYxxSqfBxua224TGlkxDCjpYzbXO2I1F5fLPGWt4bfLIy00apWrtY1CUT1oQCJL6iye0d5mzslqqiiZP3aOjhRdz2We8CGpggKAXI0sI1vbtexl+6e584JIqHqga7vyy16zZg1uuukmrFu3Dm+99RZ++ctf4qyzzhLbrFixAjfddBO2bt2KmTNn4rbbbitrlKK5uRnvfve7sXHjRtx0000YPXp0+E6KIOe7CPaYkMfpxs9ZDMzDRrxYucOqpSo2Fy+pmZcbtebkyCiXyYbmtjJY4cVqq5zHiiLZeLEiCQB2ZaQaqDZGI7r0rLGJug2+njWkvGFlzq68vDYTEnJq53Y/3MC8zpWjxjvIsDxNklheBgCfAueYKJugy1HjOpckDRZYCcW0eTKYsAqM0wJsbV+jKw3f2+jcXs/JNiZJTsTjySS96zh071Es3piT980kV/5mo105+r11y0TjGEzO65Ipt3n9M9nFQMYKZf/Aj72tPI/RTPf5anN7j/ucIRMfhaqWbLcyC4ZomftphtKeFUcw+8JhRuCsSOL+o2MZJOOJeFgpxXWwhGITOhWjTL42NLFPoo2M2y3hiZVQbkZejFyt3InVcEHMPBFDPdUuY7NXK+VvkQxdYIspOquWjGMmik8oZGS8WBRgbopu0ISspzdKxk2HMhoirZRKAgCurFeQlcdwxsv4E2mWD2KeVEbvG3WJcQiniszaY10PdSTIAm3G5mVTbqzYvHmzmBipN1VUGDt27IDneRg3bpz4+7hx4/Dyyy8DAKLRKG655Raceuqp8H0fX/3qV/s9m0I/RimKopSBD8d4abRvV/4bRndu98UXX4xzzjnHWN+d271y5UrMnTsXy5cvx4IFC/DKK69g7NixAIBZs2YhnzelzA8//DAmTpyIxsZGPPfcc2hqasI555yDD33oQ0YgUhRFUfaOgYwViqIoyvCg3FhRX1+/T2fpPvPMM3HmmWcOWPn6MUpRFKUMSk2r6N5mX+Z2A8D69etLOQ2MGzcOM2fOxKOPPooPfehDJe2jKIqilEa5sWLOnDlwXReXXXaZmpgriqJUCIMVK0aPHg3XddHU1CT+3tTUhPHjx/eyV/+jH6N6EgnsRuW9wallnOLFRYUZmJdikh6W6scHtZ0OyzM5bS/sgWCJr0VOyylzZtpeSCqgLd+NU+LK9KNmya5bghdfEOXftPi1saUXcjaGIXnmbA3+eUzPX9Nfn7J4DAk0CWVyNfwjmofgFDmWbnO9OYUubmZeGL9ZeqT8UVmSPuq/nhTLree/Syx7MYsMOEv13iN57i+P2NLltF31mDxZmuReddVVuPrqq8s+bndu9xVXXFH4G+d2h9HU1ITq6mrU1dWhpaUFa9aswaWXXlp2XSqdqOMXjLWNNLK8GVYTUfkARuiB43Q4LiNBRuG2lDojZY4aPD4G38OupfHiMqKcM0zPc4zMx3dnpbSdzckBoIPaJj4PTstjE/QkpzACyFK6IOhy5ejc+fdoysgRxylVu4xjdFDDXE0NO1/fJDXSO/LmqCan7k2MS8PydCDX8+/DBuiAmXY3OSYNY7fmG8XytJg0NOfUwJQlIE2LyeuzlVIUOaWxhq43m5UDQA3daxtyxc3dT6ZTb/dlgPcs/ZSGiDyX9qDrN8r1k1Kp3Fixdu3afTrarQw8jvd2v4f7SLa+HfflghBrCO6HGftb+kiGdQSHLO4ecvaWpe9tGIF71F+kvrTZJ5XLfB6Apa/MLiZUB2NSnaz5XIfMJWJacVAR3TYQ3SR3mxeH6xHJFX8/cijFkdP4AIuxvcxShu/KQil0wDN8S8z3FzYs9+rlDRvdLdPE/VqZ7m5L+3N3ypw2v1Y23H6U+iU88ZBnXt+ADMydd0yQ6+Py+j304vVieUHtYqNM4xid8ly70/YcfkD7yGDFing8jtmzZ2P16tUFSxDf97F69WosXbp0r8svFf0YpSiKUgZdctrwL1vd2+zL3O4w3njjDVxyySUF4/LPfe5zOOqoo/pUH0VRFKV3yo0ViqIoSuUxkLGivb0dr776amF506ZNWL9+PUaOHIkpU6Zg2bJlWLx4MY499lgcd9xxWL58OVKpVCEDY1+gH6N64ESCt9VNbOptM6YOUVEZSilebyiMSqlkSBlh6ivAVCVxIaWYt4ccwzBBNwRdLP+hzaPmxXDyIb9JyKkbXu8Wrz4esTDOg03TvfD7hDEURSEjLxafW5D/K8h/1xh1MkbC2PTSnFnbUB15dAy+fondsuJe0nZjFDckZzVW8yeOl2XSSGKsw7xP2Iz92R8sA9CVLtfw4/9j1qlMfEQMU1/7dl11O+2004ZM6sVxxx1Xchqf0jsZLwpvj2InTWbjrmXGAVbesJrK80mpE6Jy4vIAwKF98lRmnu5ZVnlmjOFxU2FUE5MNj02h1ZM2Mk2vgylHTZLqqz0nG6fqqDwmd8a2d8rpqAFgRMJictqDTqp3Y0yOeu7KymH6jGX4vJoaYZd+k93kLFxLjeyIqDT9BoDRUSknbco3iGVWOfExWYEEAK4jJQZvZMeI5QYyH2f1FSuhajj4AHiT6skKLW4vq8lQPmW593Ke3KfZl2WOceUI+zZP1qvZeAwtKtpAXpvxk97sql9rK4AGY/tyKTdWKMOPngbm3Keyqvu5L0yPdFh/0XiUSri1DKNvXuZHx9LscxPJmQd+vLga3+f+oi3jgvq1oconKjJbb7YBsVTxfdis3Zj8hwzNfZtaP8M/EvWVyRicDc7dTkufop1M0Ovkj+Lkiyt2bObiEZq4ITtKxu8oyZjZWN2PUT8ma97gfj3Fhhp6GeH3uIxso4OYGSucGqnA9qtkzHLaZXxng/LIiEajTANSQD2084cA9rxXNNwVvn8IAxkrnnnmGZx66qmF5WXLut6JFi9ejDvvvBPnnnsutm/fjiuvvBJbt27FrFmz8NBDD+1TL1n9GKUoilIG5cpp+4uhktutKIqihDNYsUJRFEXZfyg3VpTjGXXKKadY7XR6snTp0n2alsfox6geOE4PZZTx9dFyk5TjL4USlFT9oNR2qJrW+489owzJVpkdI+vmZaqpwpYtfzMsTqjexggSqZ5s/k42RVYxuAxbW8JT1oa1NzzCZFNbGedG9eARN55C2Ki35Rg8IziPuPHIFyuhojbVUl1xJZmh+OJ608iYbaRr1N+kKuJd59/SVVauBJOwEvARKWvWi+GW263siRV72psUeRjl2K+oBNjPKUeqJpeWDe8mADH6W2eORkqpfUxY/JsY9nhipRSrwmrjUvFSRX5OLeQhBQANcTlqGaX4xOqrTjom728jQVJRVkaFbR/jRhymB9SuvFRTsUrpzUwjlWnOeOnTubMSajcdo8GV556wGa2E4NJ9wV5MvJyzqJjafDmCHiF5R6NbXKnGCi8ASNNx+LiNFCw25uS9NZ6OWWeZynysK6+nv/Xgrv+29Y8PSLmxQhmGBCj0kblPZfMr4rvF6JuxZxSFG+772fq53JwZ3lWcEGA2VWaZtA03EyQURZSabcfo+5nPq9GnpJcmVjEZx7T0SRk+jzBPKbPvbVN0kRKqilTK9Jtm6uWPalXQ8fsQKaHyNeT3SOqqSD78WoS9ChrKKFJ4Ba6l7UvKC+pQpk4kXTyG8fYAEMRlPA/IdyqSkjdbMHaULKC1Xa7vNPsUXrM05Xpv5MMAgHxQfsy1MVjvFUMF/RilKIpSBl7gwCshH7N7m3JGMPaH3G5FURQlnHJjhaIoilJ5VHqs0I9RiqIoZeCVmNvt9WEEY3/I7VYURVHCKTdWKIqiKJVHpccK/RjVAydiprl1Y8u3DEu7MwvpQ6XKhGeZNIzCATOdLaxeboiheSkm6bRRwGUaKXhmoUZ6W/EijO2N3cOfe7MMNgY3UgUtZXBWZMhxw9LhAIs0O8ScnetgZEXapuqlTBY+ZoxMGflaZBttF0MuumwGSWl8kRwbPcr18Xbz5m2fYqYC9Sd+EIFfws3jD9PcbqUrFS/Yk7LG6XCc2gYA6bx8qKtjUtrdSelvnLbHaXl8TMA0PWdTdG6Sk1HZmPH2AFBLhuVspJ7htL0OmfY0tkbK31NZcy5zNkWPUmPE0vUoNTTV0XCZfDOlcOXpPHZkpAl6gkzV+bwBoC2QqWlscs5pelOrdohlNkAHzHS3JOUls+l5xmikjSLR4slznxLfaW7UAzYfZ2oi5mwXbHre5stjTortFstxmht+c36kUebWnDQQn0hl/CMn9xnvSvN3NkWvDkrINepnBjJWKPsHQfTtPh1ldFvT33iSFp5chtcbfTtqA3h7oPz+Imf/2ib/MQzLo8WXszQ+F5dZUEaKHQC4GbbaoHcZStvjfq1rNrkGbEjOj2+WJsgx0hMtxuCcnslG9pxumNwtKx7Jmg07m55zmh6n5XEKo61VytXKMhO7+IenOlQV/4QQyVkMzCm1zzBvb2H/D3ke3khzwpJ8nbzJo63yofHHjpD1aqW08QQ9JNkSbpR+ptxYMdzQj1GKoihlkEMEWVtvzNhueOZ2K4qiKOForFAURVHCKDdWDLeBC/0Y1RMn6NWxzWYubiijQnI5w75n2o7BH0HDTc5ppMDmw2lIiMLKDMGiYjIVQiHXij8IW+vNroo0gmHUy1JGsWOWQojKiQ22gfCpdsPaH8ugfKhheViZxkiXpSUIM5xklZLh8VvCfRVEi9/QxtS9pKSKdZg/cp6M1Lun7g1y/TOiULrRYNc2wy1oKEDWi8Lbo3bK5OXDlqw2G4H2tHyYWMWUyckHMBKihMrkzQc2Soosj9rlqEtTQZOqyaaMSuXkiCHXm2FFFxueNyZNY9C2rLw2rAJjlZJL67OWBrIhJkdXW3JScTSxSg7Db0vXieWRMVYgmdebVUlRi8l5T9o9WYecpUw2NWcT7w5qlH0KSB0WGcSUxC6xPCYqFURsUB6mzrLRRCqm0dE2sdzsScVcmyOVU7ZZhEZGpaqO29wIZBDja8XeGlPLnJykPyg3VijDDz8GOLHu/yez5jaz/5OvIcU53ceG2XiIEorFk4Clv8hCnZD+pE3Awf1Fm3F6sWNyc0hNcNcxZNNkZFBwv9aYqKcERVeehPWJFvl7sDIqRqborEACAJ/UUmHXhvu9QcS84FyGHyNT9CiXIbfPV5tlxpsp1rZLhVBAKqZ8klRNFgUXk6uVP3SsQx4zqCIzcjI8t70Euyn+4WkbMpUPYsU/fQRpU/070JQbK4bbwIV+jFIURSmD0qdgHZ5BQ1EURQmn3FihKIqiVB6VHiv0Y5SiKEoZ+HAMRUJv2ymKoiiVicYKRVEUJYxKjxX6MaoHEScopCEErCFlw21YMtFCUhjC7iHr6hK8wntiGPhZTNb53EKN2Gl7IxvRtj//iVP5wg5pKZMluUY96PpH8sVlqrY6GGl3XvFl0wk8vMxyj2kl5LicucLGjbzeKuXmVEA2HycDc68qvJHkNDtTjkzHpGsRb6P0pjrz4iZaZcW70/Y8i7FkXyh3BEPT9IYfnu8U2jS+q/KWdDdOb+vMygfOMCynQjndjfcHgCo2tqUyY5zGR+ttxuu8DZ8HH4PL4BS8hoQ5GwOfWxUZkmc82U0ZlZT5G2xoDgB5ej5bMjL3Ik4pdXxevMy/DwC05uW5sSn6zPp/iWU2LP9nxjTtnkAuvm2c2kd5Jp2evA9GxMiYFWa6G5uNv5EdLetARuEuXYvteVPlyeeWpHyZGKX6cTpCysg9AhpdeS4u/c58jGZfGq8fGJPpiQ0RmSoIALs9eYz0Hl+Dtnx4ukkpVPpot9LVT+3t57X9PcyA3HC44HQteqvzqsyOrttZ3CbDYRuHkIl8AMukOiGT+3AZNM8CorY0PboWMdm0mal+NMGNLT3OSF+jfqyR+sfWKWyiHjFjBVtH8DFr36L0uIysaGaEJaW7TcawgNL0OF3QJ9P0qMXiIsopc1RmZoSMefFWvlHktcjXmP0UTuVzcnwD84sHp6mauZaRtKyHQ2l5jkfXijpLkR0y7nop8+aL1Mj44cS7ygiCLLDb2LxsKj1W6McoRVGUMih9ClZN01MURalUyo0ViqIoSuVRbqwYboPc+jGqJz0MzB36/M0mgoXtyyo+TBplKY9G2R0eBmGVExu32Q7Jrui8aNSTrgU9L4HNwJwJU1NxGbYiQ5RQoWqrElRMYccMm0a3FIVR6IftPgh4aIDcvDQ88sXXynJM2+hXT/LVxUeQbGaRhhIqxGidR7Z4e9tIV5bUUt2GlF62f5RRfuBYlRK27ZThiedHCm0zG2p35sywyvdC3rJNT6riuaLrs1nzwalNStPNNB0jazE970kyaj7wHqmW0lQGnxc3K2yKbnsmWE3FSqgYqZhYeRaxqGi3p+X0z3VxqchK0zGqo1LZ00lD8Nsy5nTSrMgaGZcqGx7B7PDDzeA9NiSnfVxyK2YT9REWOcGuvKw7HyNC55EO5DHjCDcwr3OlMf0oV0oWmj2pWgo7JgB0+PJ3HxlS5qRos1g+JCZHslkFBQAJR94Hb+S7fpN2r3+UURorlMANEOzJrHA8+Tuz6Tdg9tV8i7KpJ266eN/ZMqeBoTryKPPDCZlYBpbwxO8F3Bc2+s4hkwFZ+6R0XD4G91mN/qXlUubrSDFE6n0WbZIIFB4pjnK1lopTc8Km54wX55csy0Z0Ab04vQvyKxZdi2iHRQldJdtD4zfj9wq+T0KM8QFT9eWm5AX1ycAcpDxjo3YAcKif4mSozCTF0Rb5AOS3vCmWI3VyQhMACLKyzMjYLkWx42f6RRlVbqwYboPc+jFKURSlDPwSRzB0hiRFUZTKRWOFoiiKEkalx4rheVaKoigDhB9ESv4HdMlpZ8yYgRUrVgxyzRVFUZR9RbmxQlEURak8Kj1WqDKqB04kKEj+OVUtsOgkbekBYp8wjWMpdXKLy8W5XpxeaC+UyqAUOaMMXgwxJrT+LSwtjNdb5IoBS4k5tY8Nzjk1zTAaNA5hyKhDU/9I+mozXg+TCvN5OOFZEcblMY7BClyWUBvXxjwGy5FZEm2kH7IpuqV1CUtrjDeTkTCdB0uRbfBxuw0lbcaSfcGDY6S69LYdMPzktIpM0+MnPps1b/xolEw76fbJ5eTDw+ltmbxc71om1EhlLPkYPffhdEIyQc9FzdS/HMnfU2lK4YpSih2lBiZisjFjQ3PATNOzpa/1JEsPuG37VE7Wsz4m0/Q68nJ9ghqaBOWD8PY2JlU1i+UY5Yx0UE5OnWuaufM2LNvflm0Qy0fVbhHLnMYHADnI33BHTqYgTIg3i+V2Mk1nRkdbjb+NIpP018kUnU3Uc4H8DWsiMsUUMFP52KD8sHiTLIMCJ5u9c0oeALxKRuXbvK5rk/JKmUUknHJjhTIMcd/uGwU8MYKlWTEMs0P6TEa/K168DwUA+ZDUP544htMJIxZ7BU4Dy9fKY3A6ITep3N/My8e9a5sQM3GzTpSSzBYlMM+NMo7NNL08L/OkPOEfC3iSHcO0nuwseLIgwDQk5yYkUyvrUbOVTL59S5mUdperk21mvEWevJeQPzq/l8TazHxOt0P+LTdSOte7Kbk+iFJaftZyQ3MqX7V8SKLbpEE5KI3PiVJ6IqXkAYA7fqw8Rk1XvX2vfz4OVXqsGJ6f2BRFUQaISh/BUBRFUcJRFa2iKIoSRqW/V6gyqgeO8/aINauDLB/US1BGFT8er+fR8lK28VkdxAbnNlgWE3YeIebijm1/Vpbx81OCgbZBaBnFL1YpZoZ8LVgpxSomHoWyKYwY3sY0BaQqWcwiWf1jnDqXyedO19sySG9sw8d0aTCbR5BsCi8ehYqRkSaP4tnUVT3J1Zg3Tm8mlv3VhnsobXSif8bWlaFIELzdNudIDRSLmb88q3dY+cRtLA9a5kkZFYuZD1e6Uz6AUapHjkbwslTvDkvsMCezkERJuevRebDqybMpXgM+d7mcoGPEWXFkUS1xme152fCYhuWWmSd6MCbZbvyNDcy53rtz0kC7NS9HgEfFzTI7yG2Yy6yLyoY6RhIGNisHTBP0kbY504vQQnOu25RRLgVT9r7gDjTXk5VTAJAmCci0+I6i9awj5WsmkIHzD51SrQUAjRFpat4RdN0nnUF/KaPKixWqoh1+BJG3+x7cD7P17bjP6cdY0c/L3Cel8izH8EgZFclRGdTv8hIhWQlAaLZDWN/Y6LdZ+mtG+OBXGTpXVi35FmU9H8dQJWXZQFtun6dK8KQ7tnrwu0m+mibdoTrEOsyLx8oovg+ipKbiOuRrTHkbl2kzORfHZP/yJF+L8JfawHhPo2tRLW/GaMrs+wQxeS7RHRRP+JidUv5mKKOOnG4eo0P2GYJk1z6BV0IqSwmUGyuG22x6Q/oTm+d5+PrXv44DDjgAVVVVOOigg/CNb3wDQY8bKwgCXHnllZgwYQKqqqowf/58bNy4cRBrrSjKcKbSRzCGIhorFEUZamisGJpovFAUZShRbqxYu3YtNmzYMCw+RAFD/GPUt771LXz/+9/Hd7/7Xbz00kv41re+hRtvvBG33XZbYZsbb7wR3/nOd7By5Uo89dRTqKmpwYIFC5BO26QeiqIoe4cXREr+B2jqxb5AY4WiKEONcmOFsm/QeKEoylCi0mPFkE7Te+KJJ/CBD3wAZ5xxBgBg2rRp+OlPf4qnn34aQNfIxfLly/G1r30NH/jABwAA//3f/41x48Zh1apVOO+888o6XiQSIFJKmluJhJmJcyqBbfvwbUgOb5PPMnSOTkgqhs+5gSwTth6TZL30/Nj36blD8dWAaQbpsNwz5Jm1/TyGOTvBaXmGGbzF2LEUQ3JRBpuN27xzOQ0vJIXRMHMn9a1NQp0nH9ve0t96w2ZA6ZIvIBszeiQTjnhsDknPg+035HPdU28+574SwIFfwg0aqIH5PmNfx4qe5Ml83JaeXZWQ+QOs2nfJ4LyTzMhjZBSey1sk9px+TYmiaTIs51Q/Nh8HzFR0Xk7TPkkqs5PWs+E5ALR0yoamsVpK6DnFkZc5bQ8ARibl31h5EqEGMkb5wU1pafLdnJapagAwZ/QbReu1k9L0aimvuSVvlpmgc8lQvszk5C6xvCsvj5G05f0QnP7GaXxMNTkLT4rtNrZ5PTtG1jO2UyxvzTeKZTaIb8pJY3YAGBeTprONEfkRIGcEPfkbclpexGLung7ktah2un6joJ+CRbmxQtk3DFa8MPuP5u8eDekvOnm5j5FylyluJQGYVhCgZsNLkvk49ds4bQ+w2E8YJuhUJtXTMEm3NGWchRxrow1C7Cocz6x3jDO6+DcxypDL2XpKuZNNMgCgflPxF4tcdXHD8nzSfJnhtDtuDuMtsqL5atlncLgTAkvKHBma52PyIA51diI5+o1bzA+3+REy7sV2y23yDfJG4PPM1Zsp9WyU7qTJQ8Qt/rISHHEQ/cFybSgV0El3PahOP012UemxYkh/Yps3bx5Wr16Nv//97wCA5557Do899hgWLlwIANi0aRO2bt2K+fPnF/ZpaGjA3Llz8eSTT/ZabiaTQWtrq/inKIpSCpU+gjEU0VihKMpQQ2PF0GQg4oXGCkVR+kqlx4ohrYy6/PLL0draisMOOwyu68LzPFx33XX42Mc+BgDYunUrAGDcuHFiv3HjxhXW2bjhhhtwzTXXGH/vUkaFuI6XQZiqKczg3LZP2PoIK5Csu7MDeUi9DAVS0Sp1lWGYnlOhocqocFP00A/E/Fvyos2DkevF0+qyYXk+XKljGKWzYS8ZVBqDspaK8j6RbIgqjI0eeRrd4rN576kY1YEGG1gpZVNb8bS5vE1Ao2MeTc1rHMM2KMHTy6a6rlUk2z/Pth84hrFwb9sNVTo6OnD44Yfjwx/+MG6++ebBrs5es69jRc/JLhg2GweAPJmJs4opSoqhjpR8EGoazamGmUxajhhybOBjVpNaK225Xz2veD3ZvN0jw3JWW9XEzeHuFB2Xzd2zXvFRzc68OVLqUsNSG5MjpVlqvKpcWS82OK+vM0d4O0lRxObsrMbi7au4EYaphOJ67chJxZZLAaqd5QUAqknWwEqoCfFmsbyxUz4jB1c1ieXNuVHGMVhh9GZuhFhu82WA4WvD6isAODgun8vxdG9tzssyHu2cIJb5HqiPmL8hG8YeukeN1RbvH4X8cIgVw5GBiBe9xQoEsE+WA7tqyecmkvtupJzK1ct7NdnBnSTzuPma4p1h7j+ywTlnJQAANQFGH5PniGDlEyunomlLPAozb+c3Wm6TS8gyiKbpGDxZENWbVUxR6uMCgGcxThfHcPidQK63iH/hk2qJVUlsim72tW2T/1AmQlyWEW8l5fNoUpZukz96vtF8sfBJXRU0ypjlJUhpbry7mG1zdJv88Bu0ktxtVKOsw8FTqFKyzEin2U8J6OXa2bq9679+eN+sFCo9VgzpT2z/8z//g3vuuQc/+clP8Oyzz+Kuu+7CzTffjLvuumuvyr3iiivQ0tJS+Ld58+Z+qrGiKMMdD5GS/w1VrrvuOrzrXe8a7Gr0GxorFEUZagyHWDEcGYh4obFCUZS+UumxYkgro77yla/g8ssvL+RnH3XUUXjjjTdwww03YPHixRg/fjwAoKmpCRMmvD0q1tTUhFmzZvVabiKRQCJhjiA6TlAYTe7Lt0dDUFSmqqlvFDcLsnlIhSmyeB/2wmDFl604J8RXyljPp1GCD5XxK4U9o7x7CYOfPEJh3BjsTxRu2WEqoXjEwjhGeH6+6V1VfOpePoZN+WmI2UKUULxMFinWeuZqw5RocrmU6X/jLeQp095VaD6no90AsHHjRrz88stYtGgRXnjhhcGuTr+wr2OF5zmAZ29wAs8yokvberRNjNuEkFvHem+xD5Ur73euQ4YUXFGLXyKrvLjtZ98p9rriGLez3TSSq6si1RIpoRJRVkoZRRhwzMpT4xV3Zb3/mZJKnrqYVNHUxM3Rz+as9L7oyMtzn1YrfZM6SRpQHzWVOqyMYlXTjpw0TWFFEW8PmB5Ro8lo5cXUJLE8NSnr3eh2iOU3MtKLCQAaonKbHXmp4IqRhDVCAWxcrNkok9mQlWWmAnm9ayLyPmKPqKzF5HCsK0fQ43sevHgp8u8S2N9jxXBlIOJFb7ECEfTaNw2iFoURqcG53xXlR9zozNGi7djcdaZ+lUeCFo8UXBFLjMvHivfpWQmVJ68rLjHTaPF3aiuuhDL6h/yGa8uGoHji0/VntVB6FPk7kZKKmkIAQL6quPIpuSsouj7aacbm8pVRxf2dbGVGO+RxU+NlxZK7qV3PyOXsCFOK5tK5sJcVvwPwu06s1aJE4vZ6gvQwDOLyRnCyfMOzGs7i0dUqf9ggn+/+H7M+faDcWDFnzhy4rovLLrtsWMyoN6Q/sXV0dCBC0jjXdeHvkdQdcMABGD9+PFavXl1Y39raiqeeegrHH3/8Pq2roiiVgY9Iyf/KZc2aNVi0aBEmTpwIx3GwatUqY5sVK1Zg2rRpSCaTmDt3bsF0tVS+/OUv44Ybbii7bkMZjRWKogw1BjJWKH1H44WiKEOJcmPF2rVrsWHDhmHxIQoY4sqoRYsW4brrrsOUKVNwxBFH4K9//StuvfVWXHzxxQC6Zk/7whe+gG9+85s4+OCDccABB+DrX/86Jk6ciLPOOmtwK68oyrDECxzDH6a37collUph5syZuPjii3HOOecY6++9914sW7YMK1euxNy5c7F8+XIsWLAAr7zyCsaOHQsAmDVrFvJ5c7Tm4Ycfxtq1a3HIIYfgkEMOwRNPPFF2/YYqGisURRlqDGSsUPqOxgtFUYYSlR4rhvTHqNtuuw1f//rX8dnPfhbbtm3DxIkT8elPfxpXXnllYZuvfvWrSKVSuOSSS9Dc3IwTTzwRDz30EJLJUhyZJa4TwO2X1LmBg2V8EUqt4DQKNjTv2qb4OQaGvpYrIRcd26CeYTZOMkjDRJ32txnJc+qeIUcubljulJB8yZJQP0HGdtk+SKKLZ1KGmnJby2TVbsjAqhMiX7YZgbMEmh8NrjdlSVgNzI3UPr6crOoNycyMdpj3iUvy4/TIrovjZftn9LlcOS3PqtOrnB/AwoULCzP62Lj11luxZMkSXHTRRQCAlStX4oEHHsDtt9+Oyy+/HACwfv36Xvf/y1/+gp/97Ge477770N7ejlwuh/r6etGm7o/s61jh5yPAHgNlh9pgx5IOlCez5YANzLkdp2cnTyl22awZurntZ8NyTttj8/G8JfaxYTkft4ZS7ALans+rtU2mtgHAmLqU8bee8LPWmaOpny31rklKKT+bnHOaXoKW2WCb0+cAGNMwJ6MyDyWVJxP6qLxWO3OWOcAJ9ofgVL8GcsvdnTPTIDkdkFPmRsbk9W+gtLymXIPcPkrmsAB28ZzrBM8ANCIqjznKNct8My9TJzntLk7nwSbqTGPEzJ+JUZDauSf9qN2ShtQXNE1vaLIv44UfDYA96XhGn8hynxlNDfVrHU4P59hB+1vmNDBtHdhugvqLnDYWxMw2l9PwfDpuNFX8nSBCkwFlRpqd0sRu7kDSIh3Co3Bje72LUZodm41z6h+fJ2MJ/2ZaJF+rEHP3XE1435V/QzaMZ6P1fJVZJm8TIWuLWAf1WzpoQpM6edBoyvwN8zWU+k8pdmzh4lIZkQ7zB/DrzX6FKDPPzwide4x+8w5LKqBH/bzarpjn+BmguejhS6LSY8WQ/hhVV1eH5cuXY/ny5b1u4zgOrr32Wlx77bX7rmKKolQs+cBFxNrj4O26gtfkyZPF36+66ipcffXVZR83m81i3bp1uOKKKwp/i0QimD9/fq/TTTM33HBDIUXvzjvvxAsvvLDff4gCNFYoijL0KDdWDDXOPvtsPPLIIzjttNPw85//fLCr029ovFAUZSixv8eKvWVIf4za10QivqE0Gkh4JNsGG8A6bB7Oo+F8DMtQAI+Ym8csXgfyerOKcoyraBTKsqUSvvaGbRKyPqBhFJtSyjA8NBRetDpE9WTbx1AY8fZcps10kcsgI0yXpsU1jMBDRmZsFQtTcJUiKvSoHjb1lIAHAWnaXDabBIA8DZIkmvvbwLy00Yluv8jp06fDdV0sWbIES5Ys6VUVFcaOHTvgeZ51uumXX365T2UqfSMInELby+2jra/ggx8euU/OK94JyVOb7fdini62ISVpPiePESGllOuaD3CO9uHjcvzha5Egg/PGBlMFlfGKm6Q3JKSyh22/Y264ozlvszsjFUT8PI+rkibfWXYRhvmbjIjLxonLzFrUVQyrlF7vGCWWJyRbxPLOrFQksVoLAN4R3yWWN3bK9mNyUq5v8eS1qXXlFbepoDIUOFl95VJDn3TkyPOWnFRBAUANmbOz8smnILaT6nVQfJtYthmYM93K+P5SyJcbK4Ya//7v/46LL754r2clrWSCyNv9RGOyGkubaxYgF3kCHManvmApx+B+L5fh8AREFnUQK6G4DKOPz+8RJEZJbjefV6MJZaU8hxfub1rqzcqcCIWTfA29c1HojTeH1NGyT4xEmtyPZbNxWxMST8mbqWOUvF7JFlJCV7P8zSwz0SwvUOdo2eYmdst4nq+Sx3QzIebkME3SjawMvi+o3+7VWyYfI+UTIsZLrCyjSp5XbBeZk1tSiozL1Z1hFDYjWIns77Fib9GPUYqiKGXgBxEjjae37QBg3bp1qK+vH+hqlc2FF1442FVQFEUZtpQbK4Yap5xyCh555JHBroaiKMqwZn+PFXvL8DwrRVGUAcKHU/I/oGsK1hkzZmDFihV7ddzRo0fDdV00NTWJvzc1NRWmolYURVGGBuXGinLYFzOvKoqiKAPPQMaK/QFVRvXAjQRw95inhaUf2LZhjPSNEFPvUsrwQjKNWF7uWVLywk3P5XpO6zPVtuZ5cDqhkd7Gl864FqWk7YW4F3IRJRyC090cMlU0DsG/seWJMsoIMYQv5ROxYR5upN2FSLlLSIsMk2q7dEzDPNKSjcZmkGGG5vFWWs9KY8vzEEvJeneM6TqIlw1P0yiFwZr1Ih6PY/bs2Vi9enVhRh/f97F69WosXbq0X4+lFMfzIgj2mJJHSGLvp8ycV6dK3vg86UMmTftwe0n3Uj5j3suh6dVkos5perYUdd+TDRrXg+/xTIZSqSh2VMXNPIl0llIBKLXPliLXk2hori8Qp4aHU+yqyHg9TeddHTXrzWWwyXl9TKa3tedlzkhjjHKOAbR7xU3PE3QerXlppjwxIdP4AOCfGZnqN4JyRHbk6sQym6RHaBIPW2c4R79RLZ27S8G3ww83oW+jfOsxURkMXs+OFstHJTeL5WZfphtWOzTDBoBmqsf4PebtXN++sj/PvDpx4sSy66SYBLEAQXzPewUZlge15rVHB+fMyUWP/dND+rV+tW0mGVrmiXuSZPvQwYVaiuR0QIpxPq3ntL48G1d3Wszd+2I30YMSQgWcPPV7KeWLJ+rhY7o272uqN4c0N0vm4gl5zFin2R7lE2Qmzubj+eJlxtvNi5EZQQbkdNxcnbw3/VjxdivgdDnL3zi1j9Pe/Bi9f1rS4rykrFe0Xf4I2UZ5syW2ynxOn9L2nKz5XAbV8sFzWvdMutFPeXM6m56iKIpSMuXKadeuXVtyml57ezteffXVwvKmTZuwfv16jBw5ElOmTMGyZcuwePFiHHvssTjuuOOwfPlypFKpwux6iqIoytCg3FgxlGZeVRRFUfYNlZ6mpx+jeuA6Ptw9o8OlmIuX5Ni8N9vboPuQPxLzR1rXMtptjG7zIYxjBEXXs1EuAONcw1VkdEzbyCQXwV/d+eTDfsMSfmJTCUXrS1DqhPmmGmXyMS1lmkaYxY9hjGQZ5xF+vd2QESHD0NziK8wjQlxvVkIZI118f2fNeqdHkgJkzzZBvn9GMHyUOAVrjzQ913Vx2WWX4bLLLiu6zzPPPINTTz21sLxs2TIAwOLFi3HnnXfi3HPPxfbt23HllVdi69atmDVrFh566CHD1FzZdxiG5TFLm0vG306I6TaPoGczPFpu3n9OQpaZz5P5eLt8mDwaqfbc8FjB6qnODvmi7ND6LKkR66rYfhzw6FxydK2ikeKNW2feHA7nuOcHxRVeEWpYonweFnVWnH7DCDXKrBZiA/P6qHktXk2NEcuTq3aLZTY052OyUXjXNqRK4mF6guvVkpcKI1ZOAcB4UmTl6FxdkjCwwbmNJDkab8qMFctT4zvE8k5PGpjH6Rg1LGkAkKQ57Jv3SC/a/X6a7KLMWDGUZl5VBgB+B8iaL5asMHI87hDSDtQ0eUlWKFkyF9I0EQW/CdbL59XPyjbDqBMs/VbDCJyV9nK9F5cFRNuNQ5hK+pBlhpVVtnqEZQ1EguLnYasDm6IbSR30LsO/RzRttkcdo8mwvJli80i+OFQHWxNMFfPjxa9FtJPMxZM00YpFORVvlQc23qGM94jwGbPcjNwpM0qqmBK7ZdvvV5MSilKOnIypjHJy9LeqPcewvf/2gYF8r9gf0I9RiqIoZRCUmLcd7NmmHGXUKaecYnz8ZZYuXappeYqiKEOccmPF5s2bRawY7JlX58+fj+eeew6pVArveMc7cN999+H444/vU50URVEUOwP5XrE/oB+jFEVRysAPShzBGKa53YqiKEo45caK+vr6IfWC8Yc//GGwq6AoijLsqfT3Cv0Y1QPHCd6WtPdHSl2Z2G4yw9iTTFNZvEleuqGG54Ch8rWk7ZF0k8q0qVrDDMrD0t1gkQEb8kxOyzNz/YruH1h+Y0N+zBJnOjFTYmqrd/F7KQj5Gm5by9eX68FG4UZaXjT8/o5kyZg5JGXOlB6bZXIZ0Q5aTy0Sl8mGiiztBoBIjowwuxW6FmPJvlBubvdwk9MqEnNiCstGlI4RcEocP49URj7HuRiWNAkyKM+xfJzSB9ngPMfHsGzDpuc5Sh9MUqogN8mZnNnl4L/VV8s0saxH6QhR2bjZzK954o5EtLiBOaf6RTmvwgKXwfE7T2l6VTTjA6fc2bbZ0tkolhOuPI8GMkF/MyO3B4Aayq/OUR5JNaXD7aa0PJd6GaNi0vzVhnEMi3l4T5LsRAzgjYw0KB8Xk6mAnOrHaXhJR5ZpMyXnek6Mdl3PpCVltS8MVqzQmVeHKNzE2l4sqQ0NOEU4W7yf6ye402SZfIkmuOEU7YAmyOAuLPfTADNdjfvCbKTutrExNR3DklLHKYixVjoG1Ysn2bEar3PfmSfmofUeGYFzn9T2k4Z+PwiZkMhIubNsk24gewoKYbEOWc9Mg9kusQm6Ty+ULvWt81XF27ZYe3gcDegYbLzOOFnzR8yOkDdLLEUTxuSp75Pzii4bL7kAgij9Bru7PEUCv39eLNQzSlEURSmZckcwhpucVlEURQlnsGKFzryqKIqy/6DKKKWA6wRwy1BE8U1hG6Ettr3t+GGwMavDSh0+huUjKlvSsHqKyzRGxw2Dc4uZbohYwJiNls/dIrcyTM15G0PFxAWUoGAIgRVFTp6uf8zyGxrXl9Ybw04l5A3zSAopocr9eB7JWa43G2lSvQzjRmpNbHXg0RxjNC1kymEelbL53LPRevcxSpnWtxT8EnO7S9lG2T9xEBTaLJ9MuksytAyb0IHaBDY0t87vQKPbfopkiImQUUpbnVg9RUooNmY3iqR65jxzhJfjR4xiXDorz4OVUUbssMDKp6qobIjYsDxNJt22ek+saTH+1pNUXo7WRuk8OyzG66MSsl6sJ4pSI5bKS0+hKsu84ps7R4jl6TXbrfXtpiEq1ValmI2303zzrLbiMjpoXvddXo1R5khyMB5Fy1kKgs2eVHRNju0Uy62+rCMAHBSTBvHpPb9Rpp86/AMZK3Tm1f2EAIX2OohTJ8RmLh4yoY2BkR7BBVqOQf1W1FEHMl3c/LqUzBGPlFDcn2T4PH2bep+7/NQ05egRZ2VUKa93rMiipsw0PCeTbptqLLE75N2QjsmTotjmnDAEqmEG8tR3ZpUTAKQbZTyv2lm80+ySSskxfb8NuA8foUmI2LDcS5ACuda8wNEOebJuSv7whkF8lYy9bqf8kYOEecEjO5vpoF3PiGOZ3KQvVPp7hX6MUhRFKYNyRzA0TU9RFKXyGMhYoTOvKoqiDA9UGaUoiqKUjKbpKYqiKGEMZKzQmVcVRVGGB/oxSikQ6WFgztJ/WypaWFre3m5vg29EI/2NjcIt9WZzV9dIu6NzD6mTPU0iLA2FjslqUJu0mMoMfSbDDM8tBQSRkOtnmHQXT2Wz1YPP1chQZBmwRQXKElwjJS5EsstYDc3D6hViNl5SCl2IMaZRb6qDmzYPwvLjbqNGj40/+0ilBw0FCPxI7ylqtkkMGLrxvbx8yANuR0rJ/KP6OBkyTY/Kh8cjw3NukwGzbfc75QMaqZK6/HSnlLfX1Eozct83D1KVkBL5trRM4YpQCp3H6fGW5yxMys5pey41brWx4obbALA7I9PCkpT6xwbnabBJupkC0UJ5JtxnyFNDzwbmnLYHAFOrd8l6Uq50B+WA+JT+1hHI9aX0Y2pd+btvy8kPLGNjrWLZtXxUGU+G5Wma/SJCv1k1GZg3+/L3GRUxjdc9uk/a9hyj3WJg2xc0ViiBG7ydosZ9KmsqWvE+pR+nffrgZ8z9vXiVbBOyNOEGH9Paz2Xbhmoyie6Q7Uq+Vu4Qa2EncfMQbgdNEiEf8fB+se1yhzzqhpE6zz1i9EHNa8P1ZFsN7uMbDiSW/rtnZh0L+NxjZLTOaXsAkNwtT44nA+KURE5/86pkedb7hP7kkml6rlZeDDZBd/g9DkC0Tbb9flz2UxzyonEysky/huJuu4yrXX+kC9qdyleKLUMJVHqsGJ627IqiKANEd9Ao5R/QlXoxY8YMrFixYpBrriiKouwryo0ViqIoSuVR6bFClVE9cCO+YRBeoB9UTX2Bbzw2OedRYR6NtY5i8kgz70PrfTZv5ZEbm4qphG16EtBQABv4Ajb1lHFUWgwxPC9B0MWm6azOMra31NtQYPHlZPNxNnq0GcQbCq2Q9VwEn0YJU976VK8IT91L6+NtFuUZXy/y8A0b2WJllcWv15iyNpbqqhcbJfaVAKWZCHYfTdP0hjlhEycAAE8GYDzjtEiqJUNtZVFfGWqqKnqY6Jh+TjZETtRsBCzzSMhjhkx2waTTpml3mAq5OirPg+MVG54DZhyM09Byr3F+D6x6mlDdamzTnjNVSD3h2Luto04sNybM0VdW+zTEpcKoLiqX20hJFbUMobMSandOnluGFEf1ZGDO51FKZ3hLRpqmH5SUpulvZRvF8pSENBu34dHYaQzyXNt8OSzPBuY2I/Y2Ond3z4PohurBS6PcWKH+gsMcY4IhSz83R4pVvm2NPhSbotOipV33Hdn2Z9vjvIE8BquxbEbVYY8MSx9C1Pr5aosCJuQYbicrd+R6W4YAq5JYtRSWVZCrlce0mZV7xUOF0V/P1tOkHqnwzAVqthFlxVEVKYo9s8xIntRTtI8flct8DA4/pUyklGmQP0Byp4xXuTq5PrGbXOmB0BmzjAyMpPz0Ed0lVbOspOo6MLvMB/K/e0m5sWK4oR+jFEVRyqDS5bSKoihKOOovqCiKooRR6e8V+jFKURSlDCo9aCiKoijhaKxQFEVRwqj0WKEfo3oQdXxEw9zs9oJSJHhMmFkopyOwKSqvt5ZJ+wRkYMopDZwmYUvlMP7GaXvG9iSvNYs0pZchxzBM50O2tx9ELgY+nwfLri1FkozTCTE4ZmlrxKJKNYy+2TySTyNELmszSWe5Mp8qp+VFyVzSVianKBqyXlofb6bflM4jV2NeSzaUrH+jK7cvnw83JS6FSg8aCrrSK/akWLBJZymqbSOljvfJFs+7dfKWND3eJx7SKHAZlt4AG5Y7VCanU7uuXN/ZEZKfACBH6YLcbmcisg5V8eJG4YB5OTkutmdketuoqg65PivrtL2z1jhGFRmW70zXGNv0pDYu25+4a+a68LlkPDKMh7yenZ5MM6uxxDSPGk1Oy6uiXOcMBxciYQQGIEYNeXVElvnPzEixPCmxWyyPctuNMrfmGsQypxuyoflhiTflesoB9ywdFd7msFhXukabJbWpL2isUJzAKUyEw5MDWe0o+FYImZwmrJ13LfdykJTPa5C2ddZ6wKmAeXN7NixHhlPN5WIkRxYjNeGB0+csb8NuguJRunjanu1v3CfNUdMfp4xt7rNyih0AUHNolMlQNrbZF4fZv+Zmmyf6MN8ZbBM40T5kWO6S1QWn7XHnx2a8zr9RtEPeW9lGWdF4szx5t8MSN2tlCp2Tp3fWallm7C35IwZxurE8S8V5m7e6Us+DwOIV0gfKjRXDLaVbP0YpiqKUgb5gKIqiKGFU+guGoiiKEk6lp3Trx6geOE5QMFMtZfrisBuHy3AG4uWUTab74SXZNB+nQ7KhaQkG5jwrpjFzsqGcssmtSCXDm5SrhLJJusJ+9pBRq8B2LbheIWogw8SbzY4tGGXkQ0aE+FLY/BF5JIUGJHjUybg2pShEqF7JHTyVrFzvJcmE0aIai3bIMtomd6kJvH4yMPeCCJwSnBm7FQn6gjH8CPKRt03GuS2z3Rqsnsqx8okWaVQ5YEWSbVSTJVmG8oldPMuPR4a5rltcQZLPyIYpXm0+sNwMVyelgqgzI0c9qxNyJDLLE2wAiLmyEe3IyYakOibr0ZyW5teserIZs7PSmfdpJfVVgpRQbJIOADXR8kZZ2bB8XMI0Wm/Omcfpya6sVHTVROX1ZyWUTTnVmpfXr4PUVqNjUvk0Ptoilv+RHWOU2eBaptfuwZyq18VymzEHu2S7V2f8bUZsh1juDhHZfjKlLTdWDLcXDKWr/1bow5ESypioAqZayjAop/4kt6m5DKlZbZPq8N/4GEY7X8LzEKbYsrTTPfGr5fbRVsv2bNpNavx8FSmjqAmxiT5ZvZOXzbahUsqTADZCgvtSEi54H6NMCpNskm4rI6zDzdkT8XbLxB9kWM5F5qrlfcFKKX53MZRTAHyXlXvFlVLRFMWfUfQDAXDTdGDqVMTfkJNZBGRG7lB7H9TKeAYAka1Uhtvd/yvBpb0Eyo0Vww39GKUoilIGlT6CoSiKooSjKlpFURQljEqPFfoxqgduJCh4S5QynXEp6qm92d4G18MYDTeUO5aRa/qSy2VyPQP6ymyImkpQRnHFQtVWJTxwPFoThEyBGzb9Z1dFQn4jQ3FUwm/KA1th+7BiwepDJRf5cgesguAp2EuYjd6wFsuW53VlK5Rz32nA3BiZYcUXH8PNmAfxEjRatkdN5YXUv1SCwDH9yHrZThmmeE7XP8BsEG2jyOSPYaiWmJBYEcQs60Om+DY8PGjkOrB42Tk0Qs5eI6E2iKwIs6ixPPpbJ+SopUf1Ys/CvGc2kOxzaPhQ5WXXp7lTjrbmErLMcdWmp1EqL+vZSeqrKlJfcYxjpRRgKp2yZAzCy9WkpGIPKQBozUufqRgNkVe5pBLLyVHhxpiUF7SxdABAA23DaqoGV3py/SMzViyzHxQA1NDQ/xhXqr7ezEtPqSwFC58egIlR6VMFAGkKKJu9LhVZKu8D2GZsXy4aKxRE/a5/gBEbAksciLCfE7eZ9Pza2tSe5HMWfyf2iKIynGr5/AadtD33LwG4CVlvr51eL0OzDuja2OIo21CRgCWsv8hqfwAIQuzhWJ2frSMlDyl94lL02VUGWSd6JOJ0WRDLfW9LBkAkT9eLzo1CnOFbxX5QAJCnvjOrxiI5ecw8ZSoYKrKkeYxoJ2XN0HlEOykGjmQ/KPO+iGTkPm5Kxg6/QUrPAk7V4cUWGa+6CqWba8SeAWYvA+w0Ny+XSo8V+jFKURSlDPb3EYxp06ahvr4ekUgEI0aMwJ/+9KfBrpKiKMqwY3+PFYqiKMrAU+mxQj9GKYqilMFwGMF44oknUFsbMqWLoiiK0mfKjRXqL6goilJ5DIf3ir1BP0b1IOr4iLLL2x76I8WuP/Btpts9ME3SLTlelMLAX1pNA/Piy6aTuCUNj1LTOPXCMDC3XW+adjTMY5TrUFJKHW/C9QzzjivlNuEy6BiGGXkJhoiG1JirzRkhJbRnbmfIRiyBNlLoLLuQ3Jj3YUk0S49jbZTOafO45Olou6XFuf55hoMSRzCGa9BQ0JWa1/3McZqELYRQyoGR/sZtE7fJVKaTsRiYu8XT8CKUpucnqNCMJZ0jZIp7ThHJU25AhFI3bM9EIikbhXRnnNZTKlpWNhLJmJnulsnJetSTKXoqK48xpjYllrkf0JI1U9OYKMXVGOU45Cm9kLcHgPaczOeIkxF7lBxiOcXurbRMXQPMdEBO5WujNL6JVTLPZEdGfrQenTBTFidQbko15YRsyowput6WQsdpeh2BrOeW3AixPCYq0/gOick0u5Gumevyel6e23i36z5oDzHmL5VyY4X6Cw5DIij0ldhawrG0r35WtsNuklLmjLQ9KpNiCbevANDJE2jwRBO0T6aDTNE5XRuAZ4kfAk6xI8NyY9IOy2MTpUlz8jVkWE6G5h4bmvOkOwB43oMoZWh5lGKX2E2xmQ3Qi88X0bUPx3MKYdwvtr2WsqUF9/Edj86dzMYzdZYUUSqDs77ZAiPeKsvM1cj1sZTZ5463UkpdVp5cemSM1ssyYinzfo5k6RmJy/s1Vy9/xGiHLCPaJONX0G6m6QWjG8Wy09zW9V+/vElHeqPS3yuGpy27oijKABGg60No6L8+lL1mzRosWrQIEydOhOM4WLVqlbHNihUrMG3aNCSTScydOxdPP/10WcdwHAfvfve7MWfOHNxzzz19qKWiKIoSxkDGCkVRFGV4UOmxQpVRPYhGPMNAdCAp5SsoK7LyJAXh0VUefbUP08tt+BiuYWBeXLXE29v3oRqEKKWsyigDUhQZlzNEwWW7/MV9102Dc768lt+UjRiNadnDzIot9TTL4PXF68DnaVNBGfVmBReP3tCAhW00h5VRPCrFqrBoO6/nUSmLeb5vV0/ZVFR9wYcDpwRpGU/9XgqpVAozZ87ExRdfjHPOOcdYf++992LZsmVYuXIl5s6di+XLl2PBggV45ZVXMHZslynwrFmzkM+bapGHH34YEydOxGOPPYZJkybhrbfewvz583HUUUfh6KOPLruuFU1PA3N+9iymtAH7SvMEBF7xUU5u1vk5sZINUV8xttVsVBspHguwm8xGx0p1SzRmxtcIm41Tu+GSSqWUkUGOg20ZWS9WU6VJ0RWjOrEhOhAev9loPUYqp12d5hD62Oo2sbw7I7cZlZQKrizNVc5KKQBIkVtujeGWK2ElVH1MutKO5lknAMRIHtCUqy+6fmRUnkejazGMJTZnR4nlcbFmsTwttkMsJ+iYb+bN6bqTFLTezNcBAFJ5D0BTaJ3CGMhYoewfRKIeInvaPW67IhaT7sAnxRCXR+1hjNpUn9odzzLBA6unkOQywlTxtkk6WObO8n25mBglJz3IviVNpq0T5oT0ayPGBEO0v61IinEemW6H9VlZ1WTr9xr1CFnPr6E5i6NCvIXeDVmVRM00G5Yb2RIwMxNCQoWhhOIJhWIp82JEqM+erSfVHe0S7SAlVdpScXrBzDbSpB2t8kTcXXRxclTmCIs6lbYJ9mwTeBlgq7l5uVR6rNCPUYqiKGVQbm53a6tMH0kkEkgkErZdsHDhQixcuLDXMm+99VYsWbIEF110EQBg5cqVeOCBB3D77bfj8ssvBwCsX7++aL0mTZoEAJgwYQJOP/10PPvss/oxSlEUpZ+pdB8QRVEUJZxKjxWapqcoilIG3bNelPIPACZPnoyGhobCvxtuuKFPx81ms1i3bh3mz59f+FskEsH8+fPx5JNPllRGKpVCW1uX+qK9vR1//OMfccQRR/SpPoqiKErvlBsrFEVRlMqj0mOFKqN6EI34VlPR/oJvor6YonMaoXFjslLWljYWkhLH9TLXU3mW8zBNz0OOyfW2/Ax8JvyFmKXHbPRoGJrb8lKMfMKQVL9SUv8YPmzYJ2Gr7Le8FEQ2WYzkSqg3Xb+wtD2W10YsEt+wtDzehw3MmYBvRgARMirvlif3VyPenbtdynYAMH36dLiuiyVLlmDJkiW9qqLC2LFjBzzPw7hx48Tfx40bh5dffrmkMpqamnD22WcDADzPw5IlSzBnzpw+1aeScQKnMFkEm4nbJPmRdPFnyZiQgFNgOf0gbrkBOb2tUxbCZeSpDIfbBACBU9xJ1c/RA1wrGxo+ppMw682G5clq2QjkyIy8KiHXd2Q4BxKoTsjcCsrcNVLoklGL9L8HbHgOmObinIbHyxkvWnQ9AKTJMTZO8b4uJtMe2YzcTNM34/mWDmlyPjIhU+TY8LyKGmXPcoN3UMPObW1DVKbkxDi3xUKzJ1MUOS3PpUAapwcgQ8GFUwUBYLtXJ5a37UnT67SkOfeFcmOFzqY3DHFQaN+TVfJZyufNZyleRRMf5OV9zP1eTsvjtL1sxuxEsZF6skq2K/GoLKO5U7YztnTrPHdJyReBU9UzrdQPilF6YoeZi+5Vy4NE2yglkc3IyX4iX2U+jNGO4n1hI4WO+7W0PRueA2bandEf57R8ulaWpstIu+Mm1ZXZ1ebkQJZUf+7Dp0dw6h+9t1G92Gzc9l7hxYu/8Lhpug84eFsaVK9KnlysXcZ/fkV1PDrRGKUK5s0L7tfJNG+vputmy1tsGfpCubFiuKEfoxRFUcqgXDltJBJBJBJBMpkc9JmSDjzwQDz33HODWgdFUZRKoNxYobPpKYqiVB6VnqanH6N6EEGASC9e9TYVU7lKi74ooYxjknLHmC4aNKoC8/N3mBKKlU5hSinb5+9wE3SuE6nGLAaJvsc7FS/TmAKXzXctJo2hiiP+YF7Kb8oKoxAjYSdE7WaFP5ezIiFExWQbwQhVQtG1iPJIjCkmsBg3W7bpAY8ysZmkzSySR4wKx+ynEYXBesEYPXo0XNdFU5M01m1qasL48eP3unylbxiTBcQsNxqbsfLIZ6b481mKYTm3Zz6rp5L0PFOdrPVmyKTWmI67priipJTnhg3Lc1nZTQnisgybQW+G1AR1STnyn/Pk+ta0bGiq4jSyamnns1RGdUwOmXPc3NUhR1bH1EgTbwCojpJygtQFOzNk8kuNWtYySwOrwKqi8tzqyKCcTdBZLc4qKABIUsPsUdCqJjnB+FiLWN6ak2otG2xyPtKVJrRbPFnGqIi8vqnArPdOTzoDHxTf1rVtrH8U8pX+gqF09Uu7+6bcjvie+bzGqB3JkzI0TqpPbi9ZScX94q4/UrtB6lJWq8aSsl3PsyLWdogEGa1XyXpnW2Sba/R7S3gkuP/os/LWUCSbZXi0DyulWBmVp3knuE9qg+aZADW5Rt80S93FRLNZJquQfJrcJ1fLfQraPmqbtIiOQYbkUVoO6497cfMYEZLQGcqznCwk2kbPQ314ZoFDJueRlIz/foOMo05K/iBBwowV3UqoQr127Ik/XsbYti9UeqxQzyhFUZQyKDe3e86cOZgxYwZWrFixV8eNx+OYPXs2Vq9e/XZdfB+rV6/G8ccfv1dlK4qiKP1LpfuAKIqiKOFUeqxQZZSiKEoZlJvbXY4yqr29Ha+++mphedOmTVi/fj1GjhyJKVOmYNmyZVi8eDGOPfZYHHfccVi+fDlSqVRhdj1FURRlaFDpPiCKoihKOJUeK/RjVA+iEc8wCC+GxTt5wPENTaNcDEvbA4A8mdJyOoHP6W+0f3jansVcvExDc6sUkdMHaTV/MQ4zNDfMyWGmuhgm5+bFoEoYRZr7hNw3Abc2tsaHFc1Zuhq8T0jajzVdjk+dDcpJosvmkVYjZ5Y00zHYZJGNHRnrIAEdN9badRCHzRX7SFfQKEVO2/Xfckxpn3nmGZx66qmF5WXLlgEAFi9ejDvvvBPnnnsutm/fjiuvvBJbt27FrFmz8NBDDxmm5so+xEj3Ne8zl9Lw8tGQdiWkSNukEUabkOM2gSX21NZxGjQAv4pd0alN5XQmOmRVrZSwczoIYF4tTjNJJGWj0dIs8yTqGqQ5NgBEyRyc0/I8+s2qKS2P0/Z4PQDUxIun5e3srKb1cn82QAeAtmxSLIeZoDM2mwFO3ZuS3E3ri5fJKXYT4i3GNhs7x4rlSba8kh5sy8uP821+0tjm4IRMR2bTc96nMSLT+Dx6IDglDwAaXTNVsj8pN1YowxtOqbNRk6QJHDhN2TAwD+lLW/ukch+XDMm5fx5PyGfPjZqFptupA0jxJJ+lTifVO9pCZuRJy0PBIY3CiUuG5Zkx8rziO81OqTE5CG9Cyy5lZeVqKZWt03ze2Uycm+kcjVVyX9s230M+SdYmnLJohNpe7Ct6/ol+opjMhDZSAbkQyvBGvMWseOdomqSjje49nmykhibpSJq5lsltsu13PHoGErIMp4N+RJpBy682+yluB+ckOvK/e8n+HivOPvtsPPLIIzjttNPw85//vOz99WOUoihKGQykZ9Qpp5xifowkli5diqVLl5ZUnqIoijI4VLoPiKIoihLO/h4r/v3f/x0XX3wx7rrrrj7trx+jehCFj5jNEXkIwaolQ4kTopQCzBFcHk011ocooWwKMcOwPFQpBVo2CzUMyk25QNHtWQllKKUs2xhKKWMXVjjYGoqQT9lhjYtFYcRm4mHr+9J8GdOhhqiUeICdR0mA8o2ZDQNzmlbXppxyO2TFM6O6zt7L9NMIBkrzQh+iAxhKf+Cj0PYaIiVLCCnF5LQnxvPNi7bnn9szrhi1MyWpI40RWjIsd7mRkMvGtOSWQ/CZsBIAcTIjLcFcmpVQPPNEOitHPrmDV5OQDU0sYlEC5GU9+Zi8nIjK82ADdBtN7XVieWSVHAHuzMvzcC31HJWU6p88Df13erKMSclmsVxHw/ovdUwwjlFDcoEE3fCsamr3pKppanyHUSbjUb0nRWU9d3rSlHa7JwcAJkWlIgwA0iSt2JjtmgiiM5cH8HponcIoN1aUo6JV9g8cJyj0d40uqeV5ZcVlM6TCkvvO8ahs2zxqy3Ku+Zrn0HGNvrDRjstnz6bw4nbZIWNwP1/cojjgatq6a4ZBNilzaCeepMOGH+P3IZoggxRaLvXx2fDcllzDcz7wufK8E9xfMK4NYFyfTKNcNlRNLPaxNEzxtuLm4nweye3yB4lQ9kFqvEVhRNuwoTkbrbMSKrGTZWYmASv/WmQM9Gtl/PFq5YtGtNlUWwdReTFyY7qUtvl8FNgYWqVQ9vf3ilNOOQWPPPJIn/cf8gbmW7Zswcc//nGMGjUKVVVVOOqoo/DMM88U1gdBgCuvvBITJkxAVVUV5s+fj40b++HOUBRFsdA9glHKP6D/DMyV4misUBRlKFFurFi7di02bNigH6L2ARovFEUZKpQbK8phzZo1WLRoESZOnAjHcbBq1SpjmxUrVmDatGlIJpOYO3cunn766X44q9IZ0h+jdu/ejRNOOAGxWAwPPvggNmzYgFtuuQUjRowobHPjjTfiO9/5DlauXImnnnoKNTU1WLBgAdLp8K+niqIoZROU8Q/6grEv0FihKMqQo8xYoewbNF4oijKkGMBYkUqlMHPmzF4HxO+9914sW7YMV111FZ599lnMnDkTCxYswLZt2wrbzJo1C0ceeaTx78033yy/QhaGdJret771LUyePBl33HFH4W8HHHBA4f+DIMDy5cvxta99DR/4wAcAAP/93/+NcePGYdWqVTjvvPPKOl65Bub7AsOwnG7ECOU98Q/qW9LGQg3IQ2523t+WGsD15n34EGGG5l1/M/5S9BhcK8fIdQl/qgPeh03PDXmzpRDeh79s8y3HqS+2dEJOn+FlPiTdRkZKjs0P2S8uP2bZr1GmJZvGuJ1Dll1KyzN+Mku90yNJorsngyQszbBkSh2d6KGM0tSLgWVfxwrHdwqpcnzf21LoOIWVn62wZ4fbvkgJKad+rHg6Qb6a2uS4pc0lE3ROi/VqKTWD2i7P4wfckn5N8SOfk7J8x5HLnCJia8Vdaig6yJA8Gi1ucM6G5bbplPkYOUqJz+Tkj16XkKlsSddskHZ0ylSzqhiZt2eSRdfHLf2Xhph8eW7Ly2sxtXqXWG7OybQgTuOr4lxpANXcUBM5yjMZF5Mm6EnHzGP1aay0JiKv3+u50WI5RTkkja5MaeTtAWBXXpqavyO+s+t/rDmrfaDMWKHsG/ZlvIhEPbh72psqaleyOfMVjNN/I9TecftnpPpRO5SsMp9NviezZC7eWCfTlFraq+T2lokoXGpTY2SK3kFtFxuH+5b4w3A/1+dUQH4/4kk6bPMi+cXjIsc8ridPTmKbuMeoN3u5U/pblLLErAbmMoPbMFbPV9F67ktbyuTj5mleiapd8kRy1dQ/oPOwWXW4OX6/od+QTNJjrbIQx7O8WFAHKZKV+3ij5MXy4/IHiJA5eW6kjIEA4FXL5zLW3HXBI/nBiRWtra3iz4lEAolEwrYHFi5ciIULF/Za5K233oolS5YUZuVeuXIlHnjgAdx+++24/PLLAQDr168v4ST6zpBWRv3qV7/Cscceiw9/+MMYO3YsjjnmGPzoRz8qrN+0aRO2bt2K+fPnF/7W0NCAuXPn4sknn+y13Ewmg9bWVvFPURSlFLqnYC3lH6DKqH2BxgpFUYYa5cYKZd8wEPFCY4WiKH2l3FgxefJkNDQ0FP7dcMMNfTpuNpvFunXrRFsXiUQwf/78on3j/mZIK6P+8Y9/4Pvf/z6WLVuG/+//+/+wdu1afP7zn0c8HsfixYuxdetWADCmNR83blxhnY0bbrgB11xzjfF31wmM0c7BxnWKmxPytK48MmDDNv2zWD/ErkE3hoF5SDVDJ1y3Ga/bVEjlwCoo24EN0/kQZZrNrzdEIcQf2EtRQjE8WO3RqEdfbhPDRJEVH2zcyL85jyjR6A9gmpwXjtFPg8+BH0FgmRjAtp2yb9jXsaKngblhBJ63qH9Y6ZTjB5RGY0MG2zzbrBE8+UJImxAhc1e/2nygud3webptKjTCqk5a72XNZ8KjCxivkQ+wT+oqhxovNkkHAIdG6TlWxMlMPE/KKI6znuVZZkVwKiMbyPqkHKrmuJrKU4MKs1nmfUZXSyPW9qwcCR1Xbb4Av9VJRt7VUpXUlJGjxmPi0vk2R79PlWW4e0RU1ov3iVGjzIbmrJwCgLqIHKbf6UkVU5qCSZxu1lcz48Uym6oDPZRQe+hWaPn9pIzSWDE0GYh40VusiEQCRPa0zayWjMVMeQpPlhCnCRx8Vj5ZyuhJW9pUS/B7Q4Rih0frEwn57HSkSDIDwKUyMmnZvjnczyUFsdHXS4RPVBFtle2MH6UYSNsHpqALTjbkfYjiZEDHCFP3A+a7C6uvYu2klGYllRkqQl9w4m10TOorJ1rN88400O/eTL9pnTy5eDuplEnVFGEVFIBoB+1DxuCRLKmtOXhHzAvsZEgJVSMvWBDjFwc6r7Hy4rCpOvC2EqpwzFxXPR2vf96Xy40VmzdvFrN096aKCmPHjh3wPM/a1r388ssllzN//nw899xzSKVSeMc73oH77rsPxx9/fMn7D+mPUb7v49hjj8X1118PADjmmGPwwgsvYOXKlVi8eHGfy73iiiuwbNmywnJraysmT5681/VVFGX4U+pIto527zs0ViiKMtTQWDE0GYh4obFCUZS+Um6sqK+vFx+jBps//OEPe7X/kP4YNWHCBMyYMUP87fDDD8f9998PABg/vmvkq6mpCRMmvD3dcFNTE2bNmtVrub3lVkYQrhrqic+eRbQvrx8IyqlvN2H1svljFFsftr2NvswIUG6HrU/9u4HoFJbiKyXqQKMktmsVcv1CVUshKgnAMorEA1UhA1e20RxDsUVlsMrEOM0QJRVgqkoK2xS3NSmdAKXdJ3u2Uc+ogWdfxwonePsZC1UhAsb9Ym5DhRjqSfP4xiHCFJXGvOI0isxqLQABbRPEqVAe7WbfPprO22JhaNSblVBhnilVCfPB7iSVEqsLMjnZuCXIe4njEysabIQpFFxq7Nqy5n1VTfWoisrlVvJdGV0lVUy7MtJzCgAm1+wWy1s6GsXygbU7xHInNdw5MjiZlGg2jrEjJ9VVDVHp18QqJ4avDQBszTeI5TaSwbKH1KsZ6Qk1OiqlAewhBZheVfWRLn8tt7+8Q8uMFcq+YSDiRa/vFZG3lUd5Uj6wQtNGlJRSjivvTc7mYFWnLdvDaNepEWb1FXv/RS1tHbfbXierUeh9ift+7BlleyY4TJJKKZIvrjByO8wA5LFHFPUp2ZfKTRfvz9tVTLKMaGdI/53qnTObdUTJR58zAlgJFSclVL7GrENytzxwpkH+plU75Xr2pWRVWLzFbNfz5DPlptmDK6Tt9c0yvVr53HlJ8l3LyjKzo+T2sZS8n91O8/5mr6pItmubiNdPZrSD9F4xevRouK6LpqYm8fempqZCO7gvGNLa4BNOOAGvvPKK+Nvf//53TJ06FUCX4eD48eOxevXqwvrW1lY89dRTZcnDFEVRSkWn6x56aKxQFGWoMZDTdSt9R+OFoihDicF6r4jH45g9e7Zo63zfx+rVq/dpW1e2MiqTyeCpp57CG2+8gY6ODowZMwbHHHOMmImiv/jiF7+IefPm4frrr8dHPvIRPP300/jhD3+IH/7whwC6ZmD7whe+gG9+85s4+OCDccABB+DrX/86Jk6ciLPOOqvf66MoigJAR7JLQGOFoigVj8aKUPZlrAA0XiiKMgQZoFjR3t6OV199tbC8adMmrF+/HiNHjsSUKVOwbNkyLF68GMceeyyOO+44LF++HKlUqjC73r6g5I9Rjz/+OL797W/j17/+NXK5HBoaGlBVVYVdu3Yhk8ngwAMPxCWXXILPfOYzqKurCy+wBObMmYNf/vKXuOKKK3DttdfigAMOwPLly/Gxj32ssM1Xv/pVpFIpXHLJJWhubsaJJ56Ihx56CMmkabDX34QagQ/AneWVmfpnS6Hjv/GoXH+k4YUd0+F0Dr94nWyEpu2FlGE1K2cTRVaEGjk5tN4yrXvYMULT3yznGZaGZ1QzZGp4NmW0FcKyasMguYTWxEhPMmTXtJoVsOxlaFHI8jG8PYrcfkq8KHkku1JHuysiVvhOIe3AeBZLaQLCnl9OkeVsOEuKLKe4csoCP+N+jAstXicAZvsWJdk+TREelNAeulXFZe4cK5h01nSl5WePaxGjVJc4GZ63pGSOQywa3nrUxGWeRJZM0Xd2yFyLqGuWWROVZTRnZD3qEzI3I0sN5siENBIHgCYyMB+TbDe26Qn3Ww6okml8WzKNxj7j49I4faQr68Hm4mw+vsuX5uQA4JFwn1PqttPc5mFpeUlLTjeXmd3zEIV4GpeMxoriDEasAPZtvIhEfET2dJ6Mrp/FsJgnLYhSWjKv76SUY24veX8AyNKkDwlKu8tR25XLynamlPvVYaPvtDxXP8k5dOFpepEOc7KKovuwZ3qVJWWRj8FhkdLXuU+aq6c0P4vlhdGXppQ67jtnyQrIlvpPWcrIUyofZUrDj8o6RFMWA/N6+RvFLNsUI7mb0uHqzd8r3ia3iVJKHKfDBTRZi1dnpsLyNpGcLCNXJ58RTsuLpGWdnJx5wflv3WbtQT/Z8QxkrHjmmWdw6qmnFpa7ve0WL16MO++8E+eeey62b9+OK6+8Elu3bsWsWbPw0EMPGabmA0lJaXpnnnkmzj33XEybNg0PP/ww2trasHPnTvzrX/9CR0cHNm7ciK997WtYvXo1DjnkEPz+97/vtwq+//3vx/PPP490Oo2XXnoJS5YsEesdx8G1116LrVu3Ip1O4w9/+AMOOeSQfju+oiiKICjjX4WhsUJRFGUPZcaKOXPmYMaMGVixYsVg1HafMpixAtB4oSjKEGIAY8Upp5yCIAiMf3feeWdhm6VLl+KNN94oqFTnzp3br6cXRknKqDPOOAP3338/YjHLvJgADjzwQBx44IFYvHgxNmzYgLfeeqtfK7mviDg+IrYh517wya2N9+X1/QGbEfKY8kComvoCf701BiwGwPTcWE/XyqqEYkrZRhQasgyETsFakmH5XsIjK0Epo1C0jzHdrL056HX7ruPSMhszhwgQbIbljMcDl3vq0X+X1UFpMpKubSrJwLxSYoXjv31/szrPS5gPU0CjksazwSbeZIJaikl62OQA4EFKbqPZnNwGtRusuAwyZFjO03PzsDPMdrmqRg75ZmlUPkamv7m8OfqajMuGgo2DWQnQQYbnPNW5rVkfWS1NuXemqsVyDRmr02zSqI2bxuushKqOyW2SbvHzslEfl/WsojJSeTnS3BiTQ+otnqzTqJipvmLYkDxLDf8uTyqh2AAdAN4R3yWW/56WZqrVJC9ocOV5xugh4ToAQASynWKl1N5TXqxYu3btkJohaSCplFgRjfhw9yijqqhdaumoMrbvIKWTS5J0fgfoJGUot1VsgG4jwtuQMor70l42RKEEIMhR28TVYGUUxw5LX5z7rbFWMk0n0Qybjftskg4gytvQMYz4Tv1LYxIeS4yLt8pjsJrKZUNzFiCTWTlgKqFcNjTPUQwr4XU02slm7vS7x0ldRebj+SQpqzpK6FMY108eI18r7282QAeAeIv8kTrHynjuktTV8fk3JjWWa7lYnBni9VeuRaFEVHKsKOlj1Kc//emSC5wxY4YxS4WiKMqwocxZL4Zb0CiGxgpFUZQ96Gx6vaKxQlEUZQ8VHivKNjDvSXt7O3yaZrFSXroURalQKjxo9AWNFYqiVBwaK8pGY4WiKBVHhceKsj9Gbdq0CUuXLsUjjzyCdPptXWAQBHAcB16/S9eGLmEpfeWk/PXGQKT6Gal8JA0sNx3Otn1/lFEuoc/oQDzELCW2SHSNbYzlkGOEe4sb4s6wdDfG6hHM5o+mb2DRY7IZuXUflr5yVg+VGSaZBsxUPndP1o9jZsX0jcApLedviJrSbtq0CRdffDGamprgui7+8pe/oKamJnzHPhxn2MaKHopqMz3OZmBKi2E+rLZ2pAe+5Vm0GqeKnWg9Gds6FrNxI52XDMsdNselehkG5rbJGKjxyeXkxYnF5H3S2Skl+LU1Zg6DR+lreUrly3CqC5Xp0nk2UkoeAKTzsoGrS8r0QjYBrooVN2oHgJHJ8BS4noygFLyWnNkgxqkR7fRk2sPouDQ0D0v1z1lu3gZyy2WD8n9lRxatw9i4NB+37dOWl+f2jurdsoyoNFFv9mTapC0Fr8bNGH8DzDTDPrOfx4p9xXCOFZ4fAfa0R9wu8UQKgGlQnqd2hFsRLpPpzJkdMU5j5v43p+359Dw7HBcABHmqB7X9HF84pZtTwG2PBMdWtopwqY+Xr5XnwWl9gJm+xmVyU5CvoRhIE4UkWs2Kc5nRDjoP+onY4NxGrK14H4H79JTFbO07G334mKxnvJ3S2YwXD9o/al6LWKfdCLybzCjZifDi9My0mc9MtkFeQC9Bv0mzfGrclLz/vaTc3/HMaxvpkPs4e2bQsm3bJyo8VpT9MerjH/84giDA7bffjnHjxsFh0whFUZRhTBAgfCZHlLbNYHDhhRfim9/8Jk466STs2rULiUTIV8Y+orFCUZRKZn+PFfsKjRWKolQy5caK4eZFW/bHqOeeew7r1q3DoYceOhD1GVQiTmCMSuwN/WEebpqiFx9SZ5VTX5RVXO+wK8LGrLYyysX2UBp/C5m+2w8zI+/LT80Dpny/2M673OP0oV486mTUImQEw6bmsJk9Fjsmb28bXObj8DS5xhT2tD5Pfp9RU7BglJHbI/rx9iopmcrfT+W0L774ImKxGE466SQAwMiRI0P26DvDOVYIjIbH3MRotvk+Z4Vgvnjb5bMxOICAJxzgkegYjTzT1NtWhSbXk0c+aTTcIUVXhEzR/ZRpVhyrKT4MnCWz3GSV3N5m4s0mv6wESHXID7CxuGxoapLyGLZHmadHdyOyHvVJqdiKkULJ1tdI5WS9GhKygWMD850ZqWjM+hYz94RULdWQfCBFktcInW1NVKqHWAUFAB1Uxg5fGpKzmqqeHHk72LEfQCspocbFpfJpXKxZLG/Ly1SuOAWP8dEW4xhsar4x22WS3pnNA3jV2L5s9uNYsS+plFjB/WLDOBxAhpRMvE2M1KiJWHHT/dZ0tfG3fFS2RazQ4kkjfGqDDUUsYGYF8GKseLxxSCkV1JpKUrfFbCd64tFq11AgWRQvFCfZ0DxXJysaydD2qZA0BYSrraIkiGWFku21lNU/pvm43D5Pt4FVtZQiY/VMcQNzho3Co53mfeKT0ilXR787hTAuw0+YdWDj9Hir3CdKSqh8rbxRHDIwj7aYLxZBVB4jM7prEo58Pgq8ZGxePhXuRVv2l4o5c+Zg8+bNA1EXRVGUoU+3nLaUf2WyZs0aLFq0CBMnToTjOFi1apWxzYoVKzBt2jQkk0nMnTsXTz/9dMnlb9y4EbW1tVi0aBHe+c534vrrry+7jqWisUJRlIpmAGPFcEJjhaIoFU2Fx4qytQL/9V//hc985jPYsmULjjzySGNa1qOPPrrfKqcoijLUcIJePLYs25VLKpXCzJkzcfHFF+Occ84x1t97771YtmwZVq5ciblz52L58uVYsGABXnnlFYwdOxYAMGvWLOTz5qjiww8/jHw+j0cffRTr16/H2LFj8b73vQ9z5szBe9/73vIrG4LGCkVRKpmBjBXDCY0ViqJUMpUeK8r+GLV9+3a89tpruOiiiwp/cxxnWBgN9jf9kfJnyHpJx8dpeX0ps9yUur6k4JmG5WUXEV6msUEfCuXfLMQc0qCUY7I8OcyN3Gb6yzJeKpN3MSwYaHsvJCXPdkyfZNdGWp7lPrF4yArYoJzT8ni9zSSdJdHd+/SXJ225ctrWVplekkgkevVpWrhwIRYuXNhrkbfeeiuWLFlSaH9XrlyJBx54ALfffjsuv/xyAMD69et73X/SpEk49thjMXnyZADA6aefjvXr1w/Ix6jhHCsc/+37yZgswHJPGs+j8Qe5yEasLF33LGm1RlpeKWl4PbE1dSGG5UazkqYUkxr5wEdqzQaA23HfK97mcgpeqtNM3YjHySSVLkUiKesRNVJhyPQ7a6YXGvWiMjpycp96SlnsyJtlVseKpyymyfg7T2n4tTHTkLvKLd7oGmbiCWkmXudSSp1lJovdlANSS8bgLt18bBDezg09gAOrtovliTFpWN7syRRF7pdwvZt9M12JTc4Pjm8FAKRi/dQ2aZpeSQznWBGPenD3pMUlo7ID05kz24CA2jdOyzPu84RsM3LUZ22zpAJy+2amBha/IQNL/Ak4lS8k1TyoknVw2ihwtlquDYUGY4INIkKxJFdj2Z5Sy7jb6nbSOxidF/crwyb6Acw+A+/D9hOcfggA1LwZfQreh43COQUPMFP7OMB7IYbmXCYboANArlr+JpzaZ/SnuBtjSS9M7pLPVaxZxh+/iu4t/o0z8qB+tXnB2eQ8vq0rtzLi2SfBKJsKjxVlf4y6+OKLccwxx+CnP/2pGg0qilJ5lDnrRfeHn26uuuoqXH311WUfNpvNYt26dbjiiisKf4tEIpg/fz6efPLJksqYM2cOtm3bht27d6OhoQFr1qzBpz/96bLrUgoaKxRFqWgqfIakUtFYoShKRVNmrKh4A/M33ngDv/rVrzB9+vSBqM+gEoFvjOD1J175Fl2GuspmFi7X0yhzCcqpcpVOpspp7zsO/VJmiMLImGbc5jVewlTkgjCTdEu9DCWUsX34MQyVT1g1WDlFg0620zS82XmgKkTdwSqmUrbh6WZ55m3257X580d4ZMWh/+4tZY5gbN68WRgN9nX2uh07dsDzPIwbN078fdy4cXj55ZdLKiMajeL666/HySefjCAI8G//9m94//vf36f6hDGcY0XPW4ANUG0mqcaEAbZno2f5IUpGHq0FLKpCfsapXjxyHcQtsY9GntnINkIKpFgtjdKTYTmvBwAvX3xSDjYs51H82mpzZDJspD8eLf4D8HTpiZi5PR+D4+joKmn0zWWykgoA4iEm580ZqSCqjsprMzbRbpTJfYAUDZmzcorPY3dOqoe2Z2uNY7wj2SyWMyRZ5eXtWWlwfnTtv4wyqyPyd91OBuUxGkJvdOX13p6Xx7Ap1Q+KN4llrw8TvhSlwke7S2U4xwq/R/oNK5JSFsUltxNxlsmGEKN2pa4mbWxTRe1ZmuqRz1E7H5NlehlLm83KXIonbFDutsg2wav3aL15DMMEnWAzcS9JKrN2M256ieLKHDcb0nHkPq3l5+L5GTi+x9toPTVDhloIQCRf/Fp4SVJ0kQIp3h7e6LBheSTHM5rIxXwVmb/XmO1pgszFObuBFVzZWlL/vmle4AgZkLNBecQjBVenvP/zNfL+dyypO9GdJFfrrlZ/td1qYF4e73nPe/Dcc88NRF0URVGGPkEZ/wCcdtppeNe73oW7774b9fX1ff4Y1V8sXLgQzz//PF544QXceuutA3YcjRWKolQ0ZcaKocTmzZtxyimnYMaMGTj66KNx3333DdixNFYoilLR7Mexoj8oWxm1aNEifPGLX8Tzzz+Po446yjAaPPPMM/utcoqiKEOOQRrtHj16NFzXRVOTHM1vamrC+PHj+/dg/YDGCkVRKpr9WBkVjUaxfPlyzJo1C1u3bsXs2bNx+umno6amJnznMtFYoShKRbMfx4r+oOyPUZ/5zGcAANdee62xbn83Ghxo+iMFMA8pXfVCzMhtKXhhKXB7a3BuI+yYJRmahxmWl4utgNAUupBUP9tPzClylC4QZmDeH7MnGMaPLAO21DvssHzqEZIzWzMe2IyQzcbJQJG8dY1rUYopeXdKVFhqVMmUmdvdX3LaeDyO2bNnY/Xq1TjrrLMAAL7vY/Xq1Vi6dOlel9/fDOdY0XPmE5/N/y33PRut8jPvUCpuvkpuz8+FrU1gk3OjHpziakzWYEkH5qxl3iUvD+LweXKqhuWx8SldMF5FpueUdpLNSAl+1mK2m4zLMnKeW3Q5SWkrnCqTzpldpVE1Mi2Mzcc55a45J+ttS9NjmjpkqtmIhDzmiLhMHWAzcsBMy6uLFjdc5ZS6XVn58eGgGmksDgDtean25FS+GDXUs+o2i+UWzzQw35GXZRyQkMfltLzN2VFimdP8RkXNFMY05Z7v3HPMTq+fgsV+7Bk1YcIETJgwAQAwfvx4jB49Grt27RqQj1HDOVa4kQDunjYqlZXPYt4zU9G47eH0Um43dndQ6i61fa6lfczTMXxq+31az+2+YynT6MNzn5PiJFticBofx0QA8Cld0G2ng1CT6lOani3dzU0Xn/iDJ+qJZIr3czk1EADiLWweLtdzyl2ulq5NCbd/tl7uE01RiqJsLq1G4GykzibpDJeRq5bLVbvMintxecGyNZQKSLvUUFqelzQ7WLmofI4SO+U+blq257kGeaKRLN1XHZZcy6g8rlfT9Sz3V6jYn2NFf1B2mp7v+73+258DhqIoSil0f4go5R/QZTQ4Y8YMrFixIrTs9vZ2rF+/vjAj3qZNm7B+/Xr885//BAAsW7YMP/rRj3DXXXfhpZdewqWXXopUKiVmIRoqaKxQFKWSKTdWlMOaNWuwaNEiTJw4EY7jYNWqVcY2K1aswLRp05BMJjF37lw8/fTTfTqPdevWwfM8YzKO/kJjhaIolcxAxor9gbKVUcOZiBNYTS77C1YYmebkJZiNkx7FDzHctJXJZYSrlviYxdfbyyhvn74opYzVPLJiqJhK+Qpd5npbnfhPYWWGTG1qK5NNk3mad0RC1ltgpQWrM9gw2VB/2Kb/pds1QiMvbGZoXDu6NtZbwBiR21P2fmA0+Mwzz+DUU08tLC9btgwAsHjxYtx5550499xzsX37dlx55ZXYunUrZs2ahYceesgwNVcGlp6DWMYtaLs3eOSZZxqmm9NQMvJzYTlG2JTIxjKHjmgJMkNqNyJJeVAvLSsaqw43341Q28Vm4xwr2NA8H2KADpjKJ1Y65b3icbQmYZ5HOi/LaExIlVKWZltg82LXIutsycoZHOricgidlVCGiikjzcYBYHRSKoLC+hnNOam0mFTVLJZZBQWYSqgxcXnMUbGUWF7fJj9qjEu0GmVOiLeI5QjJHjZmZJvX4Mprw6qnVp4dA0CLJ1U+iT1BLt1fRuYDmHqRSqUwc+ZMXHzxxTjnnHOM9ffeey+WLVuGlStXYu7cuVi+fDkWLFiAV155BWPHjgUAzJo1C/m8ObT/8MMPY+LEiQCAXbt24YILLsCPfvSj8iupwPOdQvsfOMXfAQAgIOUTtzNRWs8qpwxtb1NgchmGYjVENRvkSng+uE9KKia/itQobbK9tHalczwZEG9AVSBDczYSt5XhkPKJlU6GApmP2WFTdMnlGJmHs8LImPzHEprzpEJiFVOU/La5z5GrMesZb+OLQYu0OkeG5YkWMrqPW1RMVO94u9wnlpLL7ZPkj5ZoMy9GrFVeMK5nZrSMaW5axmI/Rqq8pKkwzleRqf8eNZvvDE6sqPjZ9D7/+c9j+vTp+PznPy/+/t3vfhevvvoqli9f3l91UxRFGXI4KG10ojvklhM0TjnlFAQhX2KXLl06JNPyGI0ViqJUMuXGitZW+VEukUj0OuHFwoULsXDhwl7LvPXWW7FkyZKCanblypV44IEHcPvtt+Pyyy8HgIICtzcymQzOOussXH755Zg3b174ifQRjRWKolQy5caKip9N7/7778cJJ5xg/H3evHn4+c9/3i+VUhRFGbJ0y2JK+YeuoLFhw4ZhMXpRDhorFEWpaMqMFZMnT0ZDQ0Ph3w033NCnw2azWaxbtw7z588v/C0SiWD+/Pl48sknS6t6EODCCy/Ee97zHnziE5/oUz1KRWOFoigVTZmxYrhRtjJq586daGhoMP5eX1+PHTt29EulhithKYD9kSLYF7NxZy+Pa9ufUyvCjHBLwUjt4+Maxyye7tEvlHIeYWl6paT68SYsFWaTdDJdZHkzH5NNGwHTkJzTgEK93l2zTJfNH6kFMn7iPthFGKmA3Qbmez9/wJ4DoKLltKUynGOF4/e4n3hIx/JcsCmnWSAvh5uLh5VhPH90/zucrm0RYDiu3CmghsdIqaPtvRw1VLZrQ2Vks5TqF5MXLxqVyzVJM4WOU3JzlMrHsYBNfqOUUpexGJiPrZWpaGlPbtOelRe0Iyul/w1Vpjssp+XVx+Q2bEbOBueTamRqGwBkKT+jKibzN9rzssyRcel0y6bor6ekUTgAHN2wpeg+mzpHi+VGctMdHTPNxZl/ZmUZE2LNYpnT8jJ+8WXANDmP75nlwuuv2S7KjBWbN28Wo929qaLC2LFjBzzPM9K3x40bh5dffrmkMh5//HHce++9OProowt+VHfffTeOOuqoPtWpGMM5VsQiPtw97SKbk9v664lo8WDBkxaZbVl4R4dvSY8mojAsRLi/abF5cGgiioDNw2k9T6jhJ7kTaxzCKMNLUIo3BRhOd+O0PRuB2UzIOnAcpZ/LlgqY2E3bxGQ98jR/A2cUR2WWc9ffOnmZfjOqR6aB0t13mReYU/m4zHxClhHrYLN3ub5zpKl3qX2LUuTomJ2jKP5THaIp8/kw0vJGyJOPt0mPEd8lg342Yo+Z8d4lk3Mn74v/7jUDmNK9P1D2x6jp06fjoYceMtJEHnzwQRx44IH9VjFFUZQhyQB6Rg0nNFYoilLRlBkr6uvrh0ysOPHEE+H7/TWCUxyNFYqiVDT6Mao8li1bhqVLl2L79u14z3veAwBYvXo1brnllv0+r3ugDczDKEXVFKE7MUKf6bn+tvMxyyi+zAqjCJtnW54OY6DfKJPX04iGZepYn+RUhh85K6P4ozybBNuG6fl6GScb4phoqXeoqsEwFg4xTATMkSk2Gw8Z2OXp6Hm6Whs8YhSmWmJlFWA5l5DHjbc3Bqxt1eafcM+gSJAzN+0Lpc5oMVxnvSiV4RwreiqjeGTParxK73QRUioG3G7wZBfGZAHmMQwlI49UG88eHdMy2u1n2XmVlE80om6os9gY3PJQOKQEiJKiyyW1VY7UVvGo2djx1ORs8suG5qwmYLVBImYeI0dyAY6brGAYX9cm62i5UTg250nmubmtUSxPqJEeQ81ZGmIHMKFKbtNCBuV1UakO2pWVJug70tKcfM7IN4xjvJmW9aqhMutpGL+W1tvYkZfHZSVUmy/lAy5duxyr+CzS2BgFsRmJLoVXKts/H2HKjRX9paIdPXo0XNdFU1OT+HtTUxPGjx/f53IHiuEcK2KuV1BatlB7ars1WJWZpPaN1VXct+btc75FnRKTatLmOO1DbazDbZVtsgsyJEeG1KhxjnG0yIbnln6zQyJYjnEcJ1kMGbHNp0GXx+f4E5IhYLwCWI5hTFjC5051YCWV9dUwpIz0KDIKb6bYUm0WGm8pvg2bpLMZea5WLtdvNuNmtpZUeNQvj6bJ2D4b3oDmaqlPQIbmXoLuZ6+4gbxdlSf/GGtq3VNWeCwrhUp/ryj7Y9TFF1+MTCaD6667Dt/4xjcAANOmTcP3v/99XHDBBf1eQUVRlCGFpumVhMYKRVEqmkFS0cbjccyePRurV6/GWWedBQDwfR+rV68ekpNfaKxQFKWiUWVU+Vx66aW49NJLsX37dlRVVaG2tjZ8p/0AFz5c2xyaALzyvd7Lpi+qLDdE1WQr0/B4MsRAxcswctItIy+8j6EnMpRQNOJumWrbYcUQjZwYHlFmCVRJyxY8hW3YT2L4spTv7cK3VsAqMotigT+PG/XmXdhDqgSFEY+08MBymL+Tb/OhonMJm0GbR03CbMO6jiGXc3uaJy/EC6BkNE2vZIZrrOiJ8SxZ7mm+T3mE0Uvy6Cu1wTQ6m68JvwGNZ4OfX8PrytIespdIPY04puRD5cRYAkZtsqUty7VKX5xIo7w4PrVt7CGVyZkPNqulDA8U/j1of1YfVMVMWWWMGhr2iKqmfVhJlXDNUWNWQm1NyXajISGvTQspoUYkpBcTADSlpa/UqIQ0INlOyqcs1XNa7S6xvLF9rHGMxrhUPnE/ipVQrEhKW/ycEvRg7coXbztGRsnDy6+h9abxSqMrr9ef2md07ZvKAdhc9HglMYAvGO3t7Xj11VcLy5s2bcL69esxcuRITJkyBcuWLcPixYtx7LHH4rjjjsPy5cuRSqUKs+sNNYZrrPADp6CCrE5I2Uw2b5O9S8ZUyft6e6e8LlHqO9dTG7EtZV7HsEwFl/q1hi2OTdVJbX+wS/r2+HXU3uVI4cV9Q0v/0RtBKtodpDSjN1ruP/oJS5+UlU9lPousOHYtQhlWbOWl+NTYh8vk8+j6o1zMjJDnwc2dV0VxtN080Ww9bZMitSndSuwRldwp74GOUeb9HU3TvcexmJRQEVIksb8TAERyrOgq/lxFc3SvunTtOsy0Dzctf8SO6V3eiflcGnit6OFKo8IHufv0MaqbMWPG9Fc9FEVR9gsqXU7bFzRWKIpSaQxkmt4zzzyDU089tbC8bNkyAMDixYtx55134txzz8X27dtx5ZVXYuvWrZg1axYeeughw9R8qKGxQlGUSqPcWDHcBrlLkvu8733vw1/+8pfQ7dra2vCtb30LK1as2OuKKYqiDEkqfArWYmisUBRF2UOZsWLt2rXYsGFDSSPdp5xyCoIgMP7deeedhW2WLl2KN954A5lMBk899RTmzp07UGdaNhorFEVR9lDh7xUlKaM+/OEP44Mf/CAaGhqwaNEiHHvssZg4cSKSySR2796NDRs24LHHHsNvf/tbnHHGGbjpppsGut77nN7S9wYaTg+0mXDK9SRxtOj+wtLwQvz5zDQ/C4YMmA15SVrMhrMsG7aVSZksZpoepw9yipfl2hjPuZFSZ7i3h2NcLzYW5lQ/PqalzJDjGsbfYdtbJNGGbJrX8w6GYbx5HJ/SBU2zcZZq0zFZrmy5FfM0LW63xLm/ZuuudDltMSolVgSRt9PcDHNyy31mmJzTsxJmvMrPge3+40kJGH62jExoWzowtwGchsz7cBoEb5825fPxkTKthNt+TtlmQ3OOJQCQzdP00GQKHKMyMjm5PZfZaUkFZIPyOB0jSjcGx6ecZ14LrmdtXOZv7OyU+R2ctretQ6bkAcDYammczml5SVc2qpwquCMj090aYpRjamFUTOaItHsyhZFjxQhLCt3uvDyuR/XiVL+1rQeI5Vl1Ms0uZgkAL6UniuXR0a5rFbekUPaJCvcBKUalxArPjxSsLNjioi5hul1nqF3IerJtqiHz8TS1dZ35cD+CNkopZjuKOE3YwKnSNgNzbjN5bgu2tHAyxfvBTrX5DLpbqR0JMfE2IpqlT+pRzDIMy6kaHvUv2Z7Ck9mJ9npRmVwGvzL4tglLaB+aIwJZCgXUJCPTaMb7BJmcsyE5p8Nx3yfM8Bwwzy2WkifiJeTF4p8s2mn+iPmqkHc9ulatU+R9VLtFPlOOMVEV0DlOpsTHUnt+xHzITE6lUuGxoqSPUZ/85Cfx8Y9/HPfddx/uvfde/PCHP0RLSwuALu+fGTNmYMGCBVi7di0OP/zwAa2woijKYFLpctpiaKxQFEXpQlO6e0djhaIoSheVHitK9oxKJBL4+Mc/jo9//OMAgJaWFnR2dmLUqFGIxfrLGXhwiThBn0zES8U2lXMYrMgKUz4ZyxZJTMQhtRXtwyO44Wbk5jVz2ZSbhl74WhjHtIx2s3qKTRY9GqU3rnb47J0Ghmk6KwEM5ZSlVP7d+au74cpNq61W7CHqKmOXkHr35bYPu5621oXVbGyqzKNjNHWvMWJkGYVis8fuEaSgnwYwKn0EI4xKiBU94VFPt9Ns543nk58dLoNGZ3kyAGN6aYR3Usw6UJlZU4IZJMjos41+Pz4PGg7n9hMWBSYrnXJZUinxepp2PGJpc2NRGm2lNrYlJUc5o1GefUGeR41FwRAGqyBYsdAQN4eN06SCaGqTw9uTG5vFcmtGDtOzCgoA8nQutTGptkpTveIk05tY1SKWOy0zQYykYfcOapgzJA2sduX13JY1P9bzPtwPacrJfaZUSaN1VkLZDNC579Pmd13PtD84yqhKUtEClRcruN/bmOg0ttneKRWBPjWyxvMcl88SqzhZsQmYzxKrUfOkRmVFbDRhlpnrpMksRlCbaRiU80RItN4SjwwVEqmaItRfZIWxdcIbUmj5bN7eQNvzpDpUzWiHJf6HzJ3E/WAWkrKROGCah2dGyvXJbXKZhKaGCgowFVhuht6x6JgOmYvHW+k9z/IIRzupzDgpocigPEqG5rlaUybG9ebfOVdHE5LskjcSm6Tna8xjsFrKS3Rt40XCJyEoiQp/r+izgXlDQwMaGhrCN1QURRlOlDiCMVyDRrlorFAUpSIpM1ZUkorWhsYKRVEqkgp/r9ir2fQURVEqjgofwVAURVFKQGOFoiiKEkaFxwr9GLUPGYgUwLAybetNiW5IWh4ts9TYdgxOizDS7khqbKbtGUUaZQTGPpyKVvza8P6AJS2PpMPGej4EGz12bcVHKVqvsNXWbfjUc8ULMQwVLcaORvYgp17yDlyG7Tfk7AfDaJDuGzaPZB9cS/aMkRW5p5XzBylNr9JSLyqCCN42Yab73vYssXl4aLoBP790v7lpS9vFTSxJ5PPVnOoXnrcc1MiKOu1Skh5U0/o22aUIknK9W8czEJhpeRyPsh3yRGJVsgxbrMjlyQQ4I8uorpEpchlan0jIY7DBOWCmAo6q6hDLb7VJhUttQqbHtWTJCRemqfnUxt1iOZWX6W+clscpPICZDtjUKVP/qqOyEX1HdbNYbsvJela55m/IqXsZuvmqKC1vR06mzKXy1LADaIx1GH8T9UzKazM6Jq9FiyfN3jndCQDSVM8G2+wDe0OFv2Aoe4z39zyXUUqZS0bNZ6k6Jv/Gz2dzWirHqsnQPEr9ZFsqIBv0swn67jb57LjR4pMxAEC+VbZN0QbZ3uUycn28Ua7ndj7SbOZ48SQdhoF2HcWbFKWN5802wKfYm6+i1LMWmviDJ8iRp2GsB8zUPpd+Ek6xYzPyXI0t9V8uc1qeT01qvIXe4yxv/1FqcrP1ZEhOKXOc6uclihueA2Z6IafYccpcrkb+hl7cvBbRNL0b8rwqrTS5CJmm56uoX2PpVPh0XJuR+l5R4bFCP0YpiqKUgRqYK4qiKGGUGyt04EJRFKXyUANzpYDr+HBtw9r7CJ662IZpaB5icG5TRhkm58WX/ZD1dgPz4kooVluFqbEA08CcVUlcD0P4xEoqi/EtG5SHKaEcNl20GZizAoF/Zi6Ui7AouAI2NM6G1IPPvfjqLkJM0VlZwSM1PPVsV71om2xxdYaX5JEwNsE0j2GYovdSP0XpK74LYM/9xLPA25pxh0ZGjdHTEKUi37u2+x78vNGzxKIPHiXmUWfAooSK0fOY4YeeGwm56BvzfZvtthOROyVq5Mg/K1ptk13kSRlVVU2j9KR0SpISqpoMyzsy5kwJI5Jy+Hpru1QcxaPF1QfJaLgKh82MWX3F076z4gEA3uoghRYZmLNBeUtOmrszNgPzHN30CbrZdmXledTFpFqLt+86jrzmU6t2iOUYyQt3s0MvwSooABgXa7VvzHOv7yN04GL4kcm7cPe0RwmjTTDvyRpSQm3vlCrCHPWDWQnF7Uyna1EYhcjveUKHOC1blaKN8pnO80QUVfLcfTJJNwzMY5b+uaFCJrVKKztZcwFGkUZsjbVxXJTreYISl+ahsCmjSLSJzAi5bGQA0DFZWWUjS1ZrcWra+Dxtk6BkG+jcyMA8QeqqfLL4xEisggLMdxN+T8hX0URVVAdWTgGm6XmimQzKc/LGyVcXfxmw9a9ibfJH6u62RPKD881guA1chH/9IBYvXow1a9YMRF0URVGGPkEZ/4YYr7zyCmbNmlX4V1VVhVWrVg3IsTRWKIpS0ezHsWJforFCUZSKpsxYsXbtWmzYsGFYfIgC+vAxqqWlBfPnz8fBBx+M66+/Hlu2bBmIeimKogxJuuW0pfwbahx66KFYv3491q9fj8ceeww1NTV473vfOyDH0lihKEolsz/Hin2JxgpFUSqZSo8VZafprVq1Ctu3b8fdd9+Nu+66C1dddRXmz5+PT37yk/jABz6AWMyUhO4vRBAYKWx7Q5gUliklRTDcsJzT9szvjWHbcD18MnPjFDrXZmBOy0YqBmeuhZikl1IGG5gbHnScxmc7BqWmGQbmdH+EpQICCE/LY9Nzvpy224hvFeMYXEbxdEObC7BxO3LWHsltjRQ6o0RTjsxlGPJYIy2SK2k5iJFOuOe//Zl5MQwCwq9+9SucdtppqKkpnt7SV4ZzrCjWKbBOBhCShuexhJ4uDT83ftQ8uEtpd8YxKa3Wq+VUaqNIYyIETg8OfQ6MdGFzE07XiMRkRbIdZIyblDkLHqd7wGy3eZtYTF7Qqrgss61T5lqMrDHNtNtzsl4cw7KULsMpOln+0QG00nEnNbQY24h65qRLbabTfJYbKZ1wfFLmjOzIyDSgMGwG5nlyod3S0SiWD61rEsseBSxO8wOAyWRQ3pKXpsq7cvJcx1FeSo7yUtjgHADSFHCq98yI4fSnXcMwiBUDzbCOFeh9ThqbgTmn7kXpXsxSCnInbV9FBui8HgCq6LhcZtSVx2xtk6m7rms+H9GY7PV7ZF5ts8UQlGJ5wf1DmsAmXy/r5bZzGrlZZMB9fpf6/Gw+Tml5+Vq5PxueA4BHmc/cd2AzcU7Ls2QYI18jC6naVvx9M19N6Ye2VLSUXI63UUxjI/WQNEjLbWJc384Rcrm6id4e6d2EDc8BINFM76xkpJ4eKS9gvJ3zPeVitMOsuB/j9ME92/Rn+17BsaJsZRQAjBkzBsuWLcNzzz2Hp556CtOnT8cnPvEJTJw4EV/84hexcePG/q6noijKkMDxS/9XLmvWrMGiRYswceJEOI5jTaFbsWIFpk2bhmQyiblz5+Lpp5/u03n8z//8D84999w+7VsqGisURalUyo0Vc+bMwYwZM7BixYrBrfggoLFCUZRKZSDfK/YH9srA/K233sLvf/97/P73v4frujj99NPx/PPPY8aMGbjxxhvxxS9+sb/quV/SHyqrMHUVq5J42VaHMMPyvTU0BwCPTWYNc3GWRtGXbcuosamMYiVUceUUi5ZsX2INtVTY7Oe8uc0U3Wg8QhRzJZguGvVilZLVkbwHhnTNchBDEVe0CqYiyVKkYcQcohixmaCL7S3ruYzuevSbvLVUj48+HC+VSmHmzJm4+OKLcc455xjr7733XixbtgwrV67E3LlzsXz5cixYsACvvPIKxo4dCwCYNWsW8nlTBvbwww9j4sSJAIDW1lY88cQT+NnPflZ+JfvAcI4VVjNxhhsbenho5nvjXo2kw437eYpq4zlgE3X2qbY0GcZECTzBA6uxRtBBeH3aMqzJx6VpxAPLdNw98VlZCiBCQ7LZjBwZTZAyipUBbD7ebjEw///bO/cou6o6z3/vPfdV70olpJIA4aHSEB6JBhLSdNtAssxkFEUYFjOtTgSN3XaiYNlrJKtHgjNtxzVRyICR2I4QxxHB2AttpU1jRyG2hiYURkUkAkZJk1Qqr3rdqvs658wf9aD297frnnuqblXdqvv7sGqFc+85++xz7jn7t8/Z3993s6mvS8bCXoAorDdDc28DmN/QZyxnyaC8L2duw3GWDc4BoCVpDncfHTANsjk29xfMY2XDc5uBeYbqeWnTMWO5i0zRWV3VGCO5AYDOnGkI71GwaKZ5yNnQnBXe/a483w0kczgrNqiu6ncCAk+phIwVamA+u2OFTQ3JFOg652eAxpR5P/L9Oydp3hcZy/3anTMVmNyWJSgg9feb944tc6FAk1NESXHEyqnMCQpArLpN2WQ1vFM6n1wGP3fYwg/Fl0KtuU3yDP0ebC5Ok/AULAbmMiMg3LJbIxuR5GlSDNHP7NHp5TITUiiKWNrcT7ax+MRHLimQnIy5gq0V5XrWdZhrsSk6q8RiGXku8vU0uRUda3yAnlnzfJ1QHWPy+h5RQg3Xo2/oHinkxLrjYhKfK2YCoZVR+Xwe//AP/4B3vetdOO+887B7927ceeedOHr0KL72ta/hX/7lX/Ctb30L/+N//I+yV/Zzn/scIpEI7rzzzpHPMpkMNm7ciLlz56K+vh4333wzjh8/PnYhiqIoEyBsbndPT4/xl81mxyx73bp1+Nu//Vu8973vtX5/7733YsOGDbjtttuwZMkS7Ny5E7W1tXjooYdG1jl48CBeeOEF8Tf8IgoAvvvd7+Id73gHUilLz6lMaKxQFKWaqXYfkFLRWKEoSjVT7bEitDJq4cKF8DwP/+W//Bc8++yzWLZsmVjnuuuuQ3Nzcxmq9wYHDhzAl7/8ZVxxxRXG55/4xCfwxBNPYPfu3WhqasKmTZtw00034ac//WlZ968oigIg9AjGueeea3y8ZcsW3HPPPaF3m8vl0N7ejs2bN498Fo1GsWbNGuzfvz9UWd/61rfwkY98JHQdwqCxQlGUqqbKR7tLRWOFoihVTZXHitAvo+677z7ccsstRUfUm5ubcfjw4QlVbDR9fX143/veh6985Sv427/925HPu7u78dWvfhWPPPIIrr/+egDAww8/jEsuuQTPPPMMrr766lD7iUa8kkzEy4VrMe1kOM1OpNDx9yVcqUFlhK2DTYrJ6YK8jiPS8kjia3n9y9LgsIbmUTbLth02/fy8SkTk5VGZllwXkS4Y9BMFGK9bVxLphOyQyHViXaqsd9i0PPG17fLmVEn27ww6N5z6YsngEeaQQ7Jgr1y3dsig8eY3vxmO42DDhg3YsGEDkkmZLlIKJ0+ehOu6aG1tNT5vbW3FSy+9VHI53d3dePbZZ/EP//AP46pHqczmWAEPI/cUXwq2657NQjn9zeE0vIBsDlt6qmf6O4t7iw1P2ZzclqbH4ZCPQ3zPJ4PS+uDIG8epNXMY3B4zDyLeLFO4jPU5VQNAPmd+lmow1Yiclleg5dqUKb3ntD5rGZSml6Jt+inVrzZhMy82T3Amby7HKf2wKWmem5TFXLxzwEx3S1AKWpb20ZAwy+S4yxOaAMDFZFD+u/55Zj3jpol6ji6ktCfbxDjlaOfJuZa/P0WG5tyHODt5RuyDJ3PpcgfLGPDKNNtFlT9glMpsjhVO1Bvp77rUz2KzckAajvfnzWVOxeVUXibBOWIATtK9wqbnJ3rNSQ0SSfN7z5NBjk3Nc7ni38v0bM4Bs6Rfp802wGsy6+WcovPJbVdSdgL9hPlZvMvch5sgmxLaRTxdPK0MCI7/0SzX01yf+weATBd0OX2QfnbKapapagByjcWPhTM+RcqceHYRu0Bdp3m+B1rMa4nL5L5QPmGZlMul34hN6Knzn6936Htz+0SPpYPFl2ft4MlwC9OT0j3bCJ2m94EPfGBSUztsbNy4Ee985zuxZs0a4/P29nbk83nj84svvhiLFy8uqhTIZrMidUZRFKUUwspp29vb8dJLL+GTn/wkGhsbx/0yqlw0NTXh+PHjSCSkD0450VihKEo1U+2pF6WisUJRlGqm2mPFhAzMp4JHH30Uzz//PA4cOCC+6+joQCKRENLd1tZWdHR0jFnm1q1b8ZnPfEZ8HoVfFtPxsWAjwvGosBySuPDIXpD5OGBTOnEZZNgXoKRildPgRmQoR19Lg3OuZPgypRKK1FdiNEeeG6EGog98Pp9som4rM8iwnNUCPCJkd1rnnZjQCJwwNBfnW9abjR2DGkGeIpfNjgc/K16GMF1m82I2erQoLVxH/IgAAM8t070dcgTjqquuguM42LhxIzZu3Dju3c6bNw+O4wjviuPHj2PBggXjLne2MJWxwpjVRFyTloLEBA7m1168uOSPR0qt95GQaAW0XYSTlfdroY5MO9PmweabqSKWez4It5+6IWRg7uaLy8S8jOzGOHXmkG6eyoiAlFM1xU1I+yxm49wEp0jplCflVJxMgllZBQAuDbvXJs161ZKCgadoP5aW5tdn1ZgG5mkyKK+LFT/2OQlT1dQYGxDrsBKqIWYq0VgpzSonmyEy9zOSNNR/ggzOz7Eon0ZzplAnPqsnA/P8kIQhk7fIG8bDNMUKpThTGSsSjgtn6N7nSQ7Y+N+2Dk+qw5MYcP+7l8zJ4xYzfs4qEBMMcTiiOtTXSN/L7l7TMbupwWwnTp0y1VY2lWwQXi0dS56eVZLcP6fjSslzEe0zfwOXy6DFWH/xiX1YgWxbh5VO0hTdXGY1FiD7vs4APV9SGVxmdo5sc+P0/pT7HdGx7U4BSPVVLCvPxcBc8zdzWPjMpz9g8hcbrJTK15qFJLuKP4gUaizKPzqW4X5eIaB/UjKqjKpcjhw5gjvuuAPf+MY3yjpqsnnzZnR3d4/8HTlypGxlK4oyy/FD/GHQl+LFF1+c8MNFIpHA8uXLsXfv3pHPPM/D3r17sWrVqgmVPdPRWKEoSsUxTbFCGRuNFYqiVBwhY8Vso6KVUe3t7ejs7MTb3va2kc9c18W+ffvwxS9+Ef/8z/+MXC6Hrq4uYxQjSCmQTCatqTJOSM+oUjyfRlMO1ZVN6WR+X1w5BQBRoUoyy4zRNuwR4dOwia1OPAof7PfE6iubhxFtE1Amv0IPVkpJfychBwpQGFn9oEh1xLvw2a+JR4xsZbICwWaeZHwdcO5KUDTw5S5UTFxGKSIJ9ujiw6JRKnH6bbfrWPdImQYwSpXKDq8TZrS7r68Pr7zyysjy4cOHcfDgQbS0tGDx4sVoa2vD+vXrceWVV2LFihXYvn070uk0brvttokc0oxnqmNFJB9BdEiB5/P9bbsmveKjlh7f8zwtdo+5fb4++AJk9RRPQe2xFwZ7dkCOvrJ/BisXfVYlMrbRcBrdjpCHB08RXsiaN3I0Fezvw7WKJ4pvM5A1h6I9i6deIkFTlefMbWLkkcJKKV4fAFqbzPm2baqG0RzvN9UG7CcDAKczpplYI/lM5Uil1EhKKI7dAzyMb1mHGSCzEfaQShfkPZYkw5I+11xnQbKn6PdMvSOH9ftcUpEM3TSsYh8vYWOFMvlMdayoTeQQSwxeT3nXvNfYvw2QKiRuA7gM9pm7oPG0sfxa75zgfZD/Gqs8B8jvjr3sAMAl39d0xtwmSvHFtXgWGbAqHgAoNiBHsYN8EL1ac/3IQAmdQA7FueJtASup2A8KkKpjN0XPO1Rvn0IDrw8AyVP0fBMQBnNN5nKiV65TIPEaK51Y9e3w9/SMwB5TgOVRRajEzQ9iA9wHkWWy/5WbMMtI9JHaOln82d3JyU6cm+RnpsF/fYuH4nio9lhR0S+jVq9ejV/96lfGZ7fddhsuvvhifOpTn8K5556LeDyOvXv34uabbwYAHDp0CK+99lrVKwUURZkkQsppDxw4gMZGmT5j47nnnsN11103stzW1gYAWL9+PXbt2oVbb70VJ06cwN13342Ojg4sW7YMe/bsEabm1YbGCkVRKo4qT72oRDRWKIpScVR5SndFv4xqaGjAZZddZnxWV1eHuXPnjnz+oQ99CG1tbWhpaUFjYyM+9rGPYdWqVeFnR1IURSmByVRGXXvttUJ5yGzatAmbNm0qtbpVgcYKRVEqjWof7a5ENFYoilJphI0VYQa5ZwIV/TKqFO677z5Eo1HcfPPNyGazWLt2Lb70pS9Nyb7HY0BejLBpf4BMkWOjUF4GLIbkYnlihual7IO3EGl9okSZQheUsshlsDRZpvXJfQT5fosSLJJNNjUXZbIBMhdqSRGROymeohgJKMNmBM4HJ8zEA8pg6bF1G56Jl74PKsF6y4j0Qfvn42YSlVHK5FHOWBHNA9Gha8+PkcTeck1yyhxP9cwyfp+ngnaKLwMWmT6n1XKdOEXWUu9ohtIg6LoX6YV8z4uU41LcRyktr4d0+Uk6mZYi3QHzBMZqzJPDZuLpfjO9RsTVmGw8OHWPlzltxaU0vXPOOiPK5BQckSJH07y3UFpeT1Z64LDJeTpvns/WWjNfo8Dm4hSg0pY8iaA0vW4yVWYrgOa4TC/kMhtjZnphvy1fo8j2/Zb0woWJbmP59JDJedZVU9pqppyxojGRQXwovSydN9uZgsUqgtPy+H7lNNuBgtkm9NNy3rKPVMxsD/nZgycUcijlmNs2IHgSCI9sHKLUjntsBF1Kt5faXL+FJh7IcOC01KvGrEc0TWngdFj5huJp+ZwqCMjYKtLZKLWPU+Zrj8rzzX0A7lNQBjLilJZXMLO3AUiD8gKVkeymevJPRue3ELf8iAEPUbxP7tfEMsEdeTZO57S9ILy4bP/jveZ1UhgyRXfF7FvjpMpjxYx7GfXUU08Zy6lUCjt27MCOHTump0KKolQXVS6nnSlorFAUZVqp8geMmYLGCkVRppUqjxUz7mXUZBKN+FbD78nCo9fjpSiteB2H5B6sUirFNF0qo8It29KKxDoBhuY8PS0soznCKK6Ebcz1aXXL6Y7QPqI0Ss/bsBE4j+oDgE8jQhFaxxcSrhKMwAMlQ1wkfcCqCYuBOX8mjBl5pIvNI8cxuCzUGrwCH4bFtFGMVA2NnvHvMF4iKM2bfXgdVUbNPpwcMOzVzYPEVrUeiXnEdMaEuA+4mbGMvvK9IJoRNjSnq5jNyQHAT3Bbz2Wy+yhvTx+Ucg+yipPbVDowL2cZxaylEXJq/3q7LMPCRgEUV0UjDRTIxJdN0QsF80KY32IabqdzUqnDcZCVE/VJc+j6ZL95HK31faLMflJW1MbNof4cqYD6C+b6Lcn+ot8DQGPcvKC78+bw9hwyRU/SxWpTOWdpqL+RbprXM83G8sKkqXLiRpr3CbyhhBpm3pB8IBMPNsUvhbCxQgcuZh/N8YGRyQ4y5Ojs2lRLcfMeryXFkZxwiBRGFIBq49QWAkg65vXN/fEYqbNYb9nvSWfqLE36wNd9lNSlYkKhDD2OWtSoDE8eEhRf/KQs0+ll9ZRZRvYsCpzcB2UTdUvT4cWLZw3wZVDTSdkoNhEoh0Uqg83Hc9QFTUphrlBT8ZwP3Kf3aui6SQcrkmIZUj7XmN+zSJb7LbbHZDY9j5IyKtdonpxkb/FrK5q3xPtas4xY/9A6lnXHQ9hYMdvQl1GKoihhqPIRDEVRFKUENKVbURRFCaLKnyvCmxQpiqJUMcNGg6X8AYOj3UuWLFHJv6IoShURNlYoiqIo1Ue1xwpVRo3CgQ+njK8d3QBB3XhSAkUaXqD5uDyeeJRkvZxuFWBQzt+zWbltG14nFpCOYDMX5xQGzw3YJsCwnFPybOtI03PeoPj6ABAhE18/wEw8yEQdgExdYXmySMsrnk5ju+yD0vIYNl20Xv4izS4gJVGk3BUvb7AevM3gSuJ4xouOdlc9EVfKx4expulRVoOTNpfdJH1Ppql8TUdl5oW4N7wUp0oXr6fNFJ3TICJ5cyORhsdlUKqaMDQHxD3vZ0vYZvTXbGgOwKX9cpvLy07KzK2IkcF5tpd+IAC1zWbqWY7SVBbONdPGejNmGUlLKlicYpxLP1pf1izjrDrzQuKUPMCSAk8c728wy6wxywyaKAQAeigtT8T/mHlB20zQmTxdoH10k3BaHn/P9eZ+DwDUkjvxcIpTkCF7yVT5aLcymBKXcOzj/gVLsOile+mcui5j+VTWTC1tTph5TX1kks4TGABAglJWT2fMMrkfW6C+dp7NxmFpU+Pm/ZbPmkHMIy1EhFKjfduEOdx3TtE9nWf/CYpfbGgOwEtyp7R4P5Yn9Yjm6Fw1W9r1U+axuxSba4+ZZVL2sDBRBwBuzvhSYoPyZJe5zCl5gKVPQ6ci12wea9zMPA+aR2mwXil6pqLcf2Hungy2LRG3EV2/nJYn0geF/YDl+TM3xnVRrry5Ko8V+jJKURQlLLM0ICiKoihlRGOFoiiKEkQVxwp9GTWKaMSbkIG5MCQvw5XF6io2MA82G5fHE6W3xkFKqBgrqbzi2wPS1FyoqbhOrDASJcptHBrBcGkFsc8ApdTgZ1RGgOm5MBYWJQaPsgYZmkcshYpRo5BGjkKNYFENRWwjU6O3CUjytQ6oFxevSbPCgH1ap6PnESPH/HeilCqVna1yWgXw4kBkSAjDhqUWwaW89vja4NuXlVQ0uM1KKQAo1FA7wn6w/WbF8vU80mdRuNIosFdrNk48jbVQSvENbjFeB5m7IkjByPHKkYqXfI7MdEldxUooNtPNniGlT60c7WbD3sZ6Uyl1qs8cmq5LFZ/6HJDqKY5RHPP6csFTxbMKmePi3BpTWVFLKqbXeucYyzz1PAA0kUH5WSnTSL07b7rUsjKjpyCVZ61Jcy7yPN1EbHDOxzUvbtah36LGqiUJYmduUCWWzVmkh+NAY4XSW0ghPqRYrCdzclvfME8u0THu81Ow6MmZ99YcmnCgNy/vrU5SQ2YK5r00v868d17vbjILsNQ7mTLvmUzavN9iCVJKDVAbTW1b1KJ49bIUSHMBnVB+1rHc1i7FQe73cgzk7wtnmYVG0rKj6VJsTnSZZWZbSMXZGyy3YeNvhvvSvL6t7xyhqnO7xEooVgtl5tIzlkU9Hhugc9FrLhdqiv9mBVZKQSqfPCdCy+b6/FgcT5sVdRPy5EQL5kb5usF1CqzGGyfVHivUM0pRFCUMfog/qGeUoihKVRIyViiKoihVSJXHClVGKYqihCDsCIZ6RimKolQf1T7arSiKogRT7bFCX0aNYsIG5hNI8QNkmh8gU/1YouuI5DXa3nLlspm4MD0PSOOLkfbSs+SlCMNyqmeBRHl+QEqdrR6sAGWPbrBxK6Uw2PYhD4UkvBFO9eO1LddPgAm6z5vw97afmE192ShYGPrR+mwEadsHl8GpgLwNl2k5FUENKacz8eoWD9rAMpzMUL2yakqrlIkIxjSutIUBykqSBuWJ4suirbPJ3ykNr1BLbRenr8b4++D7I0Lm4n6S21hq6yilwa+xVJxSLSIUB30yqeV0jkJWdmNEG8v7iJHkngzKo3XmD8b7BIAUpaWkB8wyaiktr7uPUtUSMvWPjYPZfDwZN8vsp3REG82UPshxNOeaDea/Z5qNZTZAbkhkxD44FfDYgJnWw32GprhZpwLnUQBIkyE5p/YxA5Tb2umbqUhJy/YZz9xm+NyUYtpeEhorqh7Pj4xp1ZCwpLxymmxz3Ey7O5U103/Z8DyoPABYVG+a/x/tM+/XFOWF5wrm/enEgp914pQKLdLyqAwus5CWbVs0xe2y+b3bR7GAw1ONrX9Oi0lORTeP3Z1DaXl95vcRywRFIjbX+UW/zzXTM5otw5stLji9kLaxGZYzyTP0AXf56Scp1BffJ6fkAbJ/lG2i2OzyuSH7AUeeXzYkF009dQjYBsFvMH/DaMHy3Bwvl1P5GFR5rNCXUYqiKCGIeKW9d57gu2lFURRlBqOxQlEURQmi2mOFvowag1KMzMtuWF7CPoMMzFkpxUqqwW1oRIKGF4RyKuC42GBxaCMDNlYVUz8HGLEDcpprHjV22bw1wDjctg95JMVNz8UIvMVAVphw835ZbcXn22ZgTlPtCqUUH4hwCud9yHPFJvS2EZ9iRdoQRs58Ptm8nadkZ9/2EnxmvSEFiM2kfVxU+QiGMqgyGhF78DVtEf8I431uN1jYmA343nLd8zoOKQF5Oukom4+XMPDnUjsToWmthdqKlVEW9VWEduzTFN+syGSVkjC1BYRCK95gDtkWaLQ7Qua6MZqWPBazmKRTGY5DI/sUC1gpZTMbZ3PwVML8obvIFL0maZZZk5AXRqZQXD3F9eA6JGPmMPMpmgYeABoS5gXLygruI6TJsNymWuohxUdjPFP0+9ak6a7LZfa50siZOZ0bPLZcLthsviQ0VlQ9qWgeiSE1B6v3bKolvl9ZVVWgTtTcVLro9s00uQAAZF3z0a85Za5zcqDeWObJF/IF2eZy37iv37zfYknzfnSpD8ttbsGxPJ5S+HC57ecsBIo3QskLiL6z02Xu16O4GaF9RkktbIvNrChilbJHdWCllFfCBEMOCVZzTVTmAK1PfQwACGoiRT+Emm1WRuXrZbx36HKM5os/A7jJANUTgELKXCeW8Yt+n+ijvhApoVhpZaNQM3gyXKdM1ttVHivUwFxRFCUEw7ndpfwBamCuKIpSjWisUBRFUYIIGytmG6qMUhRFCUPIEQw1MFcURalCNFYoiqIoQVS5MkpfRo0iEvFKSs8bJsy6NsqR5heUthezON16lMLAKXNBhuZsVlqwZukVN0HnFDDx/The//I2PufQBRiaA6Xc5wGpahaj28CUOdrGlsoi9kMpISJtT5i5U71K2IfMLyz+vUiDs1wXLC0O+zPz+p5Nyc2pfsPblMl/MOL7iAjXeft6yixllIF5KamjruldjUItrcBZsyzj5/IscnqRphdgYOqQbN+1mLu6SfosIE2PU/+8OLXzAzK9w+e2iQxKo5S25/VSzgOn9QGI1pJ5bo/pCM8G5Q6l4XHKSTZDjvIAYnGzDE794xQ7TocrWFJdEmTQ29Nv/mhNdWaOA6fw2AyRuwfMMmqpXnXx4ilpA5T2Y1s/KJW/v2Cev4RDKXR5eUHXx808Ek7TbyYT9K68eVNx2p6NPKU81cUG9xmPlZD/XQIaKxQPEXhDwaJAjXRTXE4G0JMz79fXaUIBvtdqKCWW24TOjJlyBwAZShdsSZqpfqcHzHtpDqfx9XMAAway5j3uUXuXTJr15EyoHE1EkayXeWT87OLzxD0Uj9BM93HGkl6YZoNyMkkng/Io7UOkldXKezmaLR4X4xmatIPirG/p54qUuAZzm0RPeIuLPF0qnPpnS+0bjUfNuG39oLYuKKXR1vfhenJfiI3Ug9L2bOHMo36Jkxuy/8iXp+2eybHiyJEj+MAHPoDOzk7EYjF8+tOfxi233BKqDE3TUxRFCYMf4q8Cue+++3DppZdiyZIl+PjHPy5eDCuKoihlYIbHCkVRFGUKmMGxIhaLYfv27XjxxRfx5JNP4s4770Q6nQ7ecHQZk1S3GYkDTxiATyrjUGoI1ZJQNZnLjm8ZNaZtWD3Fow9BhuY2I/BogPIp0CSdVUyAUDLxCBCPZrPBOW9vU18JM13+nutNr3M92+XDr3xpHTY95+lqba2Pz1OoB6mrxLAIFWgxXRb7ZOUTLQrVk83wnI2cWcXE++TDoIEtHjWx4Y+hYBkvpeZtV2Ju94kTJ/DFL34Rv/71rxGPx/H2t78dzzzzDFatWjXdVZtR+JE3ridWINng61SMSgZcm7w+jx4CcjSwQGosVi0VaASXtwcs9xfdRFE2KKd2yBmgNjthuSn4xiTVp9fHQ6WyCMbrN7s2EZ6um03QWbVEprRsvgtIZROP/GfzZh3yOXO5od5iLJw3j7Whxhxa5viToBjX1U8/OoA4qb7YoLwvbyoaWmt7jWU2TGalFACk6fwlqE9RQ0ojW5+B4b4OK8m7yAR9WNU0TA/fABbSdCwNQ0qVUupXCjM5VijlwUNkRNU3jxRIrPYDpKl5A13XdQEBh9VWvQUpJfGo3T7eb6aG1tOEBMd7G4xlW715AodEwmwzY9yuUxn1dWa9MznZzkhlFPU5mzhQ8sQ9okj4dRTkSKUkJtGhp2a31tze6ZeB1COFsUMG5Ty5CMfJeHdwmfHegAmb6DDzDXKdCJ0+NgtndXWim/sQ9OwoBcXwSJXEfRux7NE+LPOVcPvJWTGsTHeyxZVSVmVUnA3g/THXHQ8zOVYsXLgQCxcuBAAsWLAA8+bNw+nTp1FXJyc7GQtVRimKooRhBo9gAEChUEAmk0E+n0c+n8f8+fOnu0qKoiizjxkeKxRFUZQpYBJjxb59+3DDDTdg0aJFiEQi+M53viPW2bFjB84//3ykUimsXLkSzz777LgOo729Ha7r4txzzw21nb6MUhRFCcFkznox2UHjrLPOwl//9V9j8eLFWLRoEdasWYM3velN4SuqKIqiFKXaZ0hSFEVRgpnMWJFOp7F06dIxZ2l97LHH0NbWhi1btuD555/H0qVLsXbtWnR2do6ss2zZMlx22WXi7+jRoyPrnD59Gv/1v/5X/P3f/33oOmqa3iiiEb9s8mwbLEsdT0ogm5yzgXmc8io8NvGGxXid5O9hDc2taXq0DV9oXC/2rfEselqRIseG5bQ+S4l5e8upCSwzKC0vYik0yJKH6+WzBNqmvmVVKV9KvA0ZIgoDc5vxOn/EqYFchkips2ld+TcpvkthCC9+EMv55jKGPyhTmt5kznoxHDRuv/123HTTTeL74aCxc+dOrFy5Etu3b8fatWtx6NChEYXTsmXLUCjItKInn3wSNTU1+P73v4/f//73qKmpwbp167Bv3z68/e1vD1/ZKsaLA5GhLIJkF0m+ayzXJH8UlJbHmRic3lqSVL14mVGS0Hu2Mvl+5X3wNkFpEZbjFuGI0glF20Xmr8jZ8gspViQoR4FOjkvG6k6NuX4hJ7tKMUpDGeg1cxgc2mcyZeYf5F2LgXnMLLOfUlXqkuaPOECpgMm4vO/zNLlFOmf+8PNqzdQhNhvPurQPR+6DU3Sak2YKYobS4djMvTEhUxa5Hv30/fxUn7HclTNzMU5lzBSBs2rM9QFp/lw/5LibdcpjYF7tMyQpwOlsHeKxwWv58obXje86sk1i/eOemTLHzw1Mc9y8M7KUwz0QseR0B9CYoFS/pJnql8nL9jBB6cDcl84VzG0o+0qkSnNKHgA4FAvcFD3v5CkWZM02NlIj2y6e/Cdqiyej90FpedF+cx+eZSKQKKXu5edQGZTOHqPJRYRFBqSROk9AIiYooWxN0ceAjOcFTsujOSE4dU2Yj8vTLRxY4v307EeXFteJzcoBu6m5sQ8yKOe0vHwDGZp3W843HUu5DczDxoqeHvPHSCaTSCbtJ2LdunVYt27dmEXee++92LBhA2677TYAwM6dO/HEE0/goYcewl133QUAOHjwYNFqZbNZ3Hjjjbjrrrvwx3/8xyUciIm+jFIURQlB2NzuSgoau3fvxpvf/Ga0tLQAAN75znfimWee0ZdRiqIoZWYm+4AoiqIoU0PYWMFpcFu2bME999wTer+5XA7t7e3YvHnzyGfRaBRr1qzB/v37SyrD93188IMfxPXXX48PfOADoesA6Msog0k3MJfO1IHwqEiQgTkrpeyqJfOzOBuFUj1ZjRVoPm7ZB4+CBBmaxyy/Q4HkAWxAHmRozmefTe5sZbKhuWwtguU2XA+hchAKowCJQwll8k8i9sGKI5vZeMCh8miNUErZGlZWgVnUGAZBpuiWfbDSomyKqNH7DDGCUUlB49xzz8XPfvYzZDIZxONxPPXUU/jIRz4Sui7VTrQARIeuXR5ls13TPMUxX6M2o8/RuPS9bSSQzcb5shem53QNO1l5o7BJKot52EuXj51N0W2D/OIjbsu4eaSpuP2EJWbTZ+4AdXVoBJ1HzMXEChblKI/k+zRteLSmuLomb1EXREjZFKNhZDZFZ4K+B4A6Mifuy5HqgRQMPBGIrU+RLRTfb4JM0/m4enLSbJzV0WclTWXTqz3zjOU5KVMhwkqoxrgcUq8hecBrA3MAAPlMCbMSlIIqo6qexngG8fjg9d6ZM1VPfZaG/CxS/CVJktGVL27Mz9+fztaKdXiCAb7a+/JmvbiNbkxRQAPQlzW3ydEED/W0zQCpPjmTQWQIQGYZ+AVOVTC3iTWaR1bIWNopmqyClU+RJC3ThBpCtWSZVMdnNS8puqK9xTvCHP8BS5+C+t9BfYqg7wGAvPOFgTnXi/s11uQIVk/xc5uY7IXVcLJMNk5P9JrbDMwzf2NWYyV66Dk6JyvOYtls02CZboCSrmRCxoojR46gsfGN9mSsAe4gTp48Cdd10draanze2tqKl156qaQyfvrTn+Kxxx7DFVdcMWIt8vWvfx2XX355yfXQl1GKoighCTOS/eY3vxmO42DDhg3YsGHDtAaNq6++Gv/xP/5HvPWtb0U0GsXq1avx7ne/e1z1URRFUYqjqidFURQliDCxorGx0XgZNZ38yZ/8CTzrVPKloy+jRuFEPKEsKivj6ZSwSomGBoQSir+3KIz4M/ZvitOoiecGqLMsIxg8eioVXTSCQSOl7CkxuE2AQivgTuYBC6EugvQw4jKlDxWtzwnRsIyg024jvA0fu020FCTQEt5KAUoo27ljPyaR5E8jWVxGkOoJQISVT0IJRevzuStl5GWoDNvU9ePC94ONwIbXw+DsEpUSNADgs5/9LD772c9OdzVmNBH3jRE89hKwNF3i9mQvBi6D1UE8WmitE90rYtSSLtkYTS8tlFOQSiZRD74f6Ws3EXyfiFFjIkIjj8KLzjb8yt4hAR56Pimn/Jh5MiM29RWLU+vNoVNuItgDJW7xd2J1r0uKI44vrB6IO/JCaaoxFUEDefOH7k6bSoqmOtO/iffhWi7wmjj5YZEBGSuj2A/K5ouToqHo7rx50yTJX4unvM9Tg891AoCevNku54bWybvl8gEJFyuU2UcqmkfCGby+a+kazbJBjoXObIOxLK9z87pmHzTrvRUz1+kdKD5ANr+211hO5+X6LquS6J4XTTD1SdMDwd5WLqmtOKix15/wnWL1PiBUtCKrgGNJLbXbpM6KZGX7KDIuekhdJfxWzeWoRWTr0/kTiuyAZ4QoezMCiJOtHvchck2kKOoO8I219IVYTc23AFsSugmuuCyT1VMFEg8KvydSfHFoYKUVAOTqaZ2hbfixaNxMU6yYN28eHMfB8ePHjc+PHz+OBQsWlHVfxdDZ9BRFUUIQdtaLq666CkuWLBlzJotSqZSgoSiKogSjs+kpiqIoQUzXc0UikcDy5cuxd+/ekc88z8PevXuxatWqCZUdBlVGKYqihGGafEBGB40bb7wRwBtBY9OmTeXdmaIoijIxZrBnVFdXF9asWYNCoYBCoYA77rgDGzZsmO5qKYqizD5CxooDBw6UnHHR19eHV155ZWT58OHDOHjwIFpaWrB48WK0tbVh/fr1uPLKK7FixQps374d6XR6ZKKkqUBfRo0iCg/RSTQw51Q1rxRhGqcCCINyc3k8Buac/sapfjFK2+NTxIbn1jKFQTlNnU05XbZ6+37xMoMMzYPWH/yseOqZMNsrwdBcpu4Vn8K2pH6pUMfSsXGWCu9jPAbmAXWQjsmWTUgmLZYDTqdnmeI2aB8jx1GmDn/Es5ikj7EeMPuChmKm6bHM3JpSx+lsdP2wDF+kmpaQphcjf2Y2KOVploXheQnhKOj+FLJ8jjWWFAa+pyOcPsCLnDZhabv8JKXZ0fTbfh2dDKqDSPcoWNpH+igWJ5PuGKeMcLsvz4WYdINiB5ueN9SaP7rN9JeNhTmdhtPyOGW+Lm7mVfTlpfMtpwdyqv+pAdNEuSlp1tuWSpSBeRM0J8x6ziej5wTlYgy45vansnViH+fUdhnL8aGbIusVN58vlbCxopJoaGjAvn37UFtbi3Q6jcsuuww33XQT5s6dO91Vm1EknQISzuC93lcw70VOqQOkjcbpiHndNpARfy+nr3Kek4X5STPtritr5jXVxsx7vj5u5jUVAmeekWl4HDrY4NyndilVIycR6KdtnDilLXMdqA2O1MlOoNtvtqnxekqD7KWURIpPUY4ttrRzziynyUI4Nov+uy02B/QpOP7HeovHVUCmt3E9OC1PGJZTH6QgvfPBj5OcQkeZ04ilqQBLvb04pYiSQXm8j56T6bbjdMR8ndxJsoti81AqdyFfnsZ7MmPFc889h+uuu25kua2tDQCwfv167Nq1C7feeitOnDiBu+++Gx0dHVi2bBn27Nkj/GknE30ZpSiKEoaQIxhXXXUVHMfBxo0bsXHjxqKbzISgoSiKopTADFZGOY6D2trBp8lsNgvf98WAoKIoilIGJvG54tprrw1suzdt2jStGRb6MmoU8YiHRClD0EO4E7Xc4vmjbdALWoe2cViBRMs2Q/Y4HSOPSrKhuQP+nt4686tuQKpi6FSxQTmrsWzKKGFYHmBoHmSKbjMwZ3gdnuaa3Yptv6httDrMPu0r0T5oVEkopYTBebg6AZAOc+zcx6oxm9pKKLRQdDlwFMB2qsSI3OA+SxjMK4lSPT6G1wmjjJoJQUMZHM2LDhtYkorJamDORvwBYSZmikCQbTaXk11yG3mPm4vCaJ3qbTMbTXQVH00t1Ba/VhNdZqG5OfKGjtAocaB5K6slbaIlUmD5jSw9o7aKRtjdAafo94Acrc71mCPofoOpJojFWOUkG6REwvyRcjmzi8YTZqQz5pBu0mKKHnPM/TbV0BTrZGjOcfI0qZps8SlPcdEjA1iHtuGp5dlQeXAd81jqSa2Rdc1z00MKkUZSkCyq6Rb7YBXKwNAQec5mdDwOwsaKMOzbtw/btm1De3s7jh07hscff3wkfXuYHTt2YNu2bejo6MDSpUvxwAMPYMWKFSXvo6urC3/2Z3+Gl19+Gdu2bcO8efPCV7TKqY9lkRy697vypvSkYGkDOBPBpp4azcKUeV0f7DrHWF4653WxjU2JOBpWQp0mVaFtgqGL5p4wlnOueWyd/aYRO7Nornkcr59sFuskkua5KJB5eCppthmcdZDPWY6bVLD5Lp5dhJS7NKGGV+cW/X5wJXO/hRbzOJwumqiClLis3AGkCbfLnvLUphRIFeZk5LngfkmcVEm8D47Vef6JLe0am4VzTBOq8QI991luB2FQnjO3cUk5xccRy5jrJ7tlxbmNHi7Ts0m1xsFkPlfMBNTAXFEUJQzDs16U8qcoiqJUJ5MYK9LpNJYuXTqmge1jjz2GtrY2bNmyBc8//zyWLl2KtWvXorOzc2SdZcuW4bLLLhN/R48eBQA0NzfjF7/4BQ4fPoxHHnlETJ6hKIqilIEqf65QZZSiKEoIwo5ghJHTKoqiKLODsLGip6fH+DyZTCKZZMnDIOvWrcO6devGLPPee+/Fhg0bRvwEd+7ciSeeeAIPPfQQ7rrrLgDAwYMHgysHoLW1FUuXLsVPfvIT/Kf/9J9K2kZRFEUpjclU0c4E9GXUKKLwEGXNYDEmelGU4hhLaXnCfDzIwNzyFlWWUTz9TabQ8T4spt0B6wQdR9RmBM4G5MJovXhanthe7CE4Dc8dx28uZKhsis6HypeF7U04y6Q5bS9sPdnQHJAniPNhglL9bF/b9lME3oVI/bMVN4axY9lMYkPmds82Oa1iwqadOctP7UgvVhNh1G8uszQ9mpMXYL7eLCTRS9+TmaibZPm7vGFZ2s/3kM/1pOPM11NqwICMeW6q+I0Z4VRonsTA0g75KdLtc+pEgoxv+4t3hfyCrLeXIsPyOvNHYoPyKKXfZAdkio7nUnohfd9QV9z4m1PybJxKU9od7yNl5n9wvIqLCTmAPB1rIxmUZyPm+eVUpDrLDcIG5J2ZemO5QPkenFrEaXs5zg8BMCfRbywPp0R5NuuB8RAyVpx77rnGx1u2bME999wTere5XA7t7e3YvHnzyGfRaBRr1qzB/v37Syrj+PHjqK2tRUNDA7q7u7Fv3z589KMfDV2XasfzIyP36YKk+bLxN70LxPrzkmZuFLsh8D3fRzlHbPTfIhyggd8NmOmWFzV2Gsv/3t9sLPdkzXupNi7v13/vNbfhSQ2yBZp8gdqZE71mKmBtLeWhARgYsOSrjYL7+JxCFbH0P91eavspNoAn3ag3Y4tIW07ItoPjS7THXBYWEnR6vTrZ5vpO8RT6RDfFEl69hCYu11S88Yqli/fHrQ4uZA+Q6KHveWIVNkm39KU4jdFNFrcD4RTHQoqsaCzdgTiZog/Xg+s7bkLGitmGvoxSFEUJQcTzEeEe4hjrKYqiKNVJ2Fhx5MgRY+BiLFVUECdPnoTrumJii9bWVrz00ksllfGHP/wBH/nIR0aMyz/2sY/h8ssvH1d9FEVRlLEJGytmW8aFvowahQNfGIIXXZ9eLbthjcxK2RWppwINzAOUUoAcLSi3obmtXkHm40IpVYKiCwEqpiBsv5ZULRVXMdmM1hn+BUQZPFM5qw/GYzbOm/CoCJt821yAA8ssrlDwbSoorgcfG4+KBBjJWk8/l+nTvxNE0/SUiP/GiB2PotkUeDwK6fMAL4+u0SXM0wpbmwRu/qhMj5RQrDJkE9DBD6mtp2mr+bhYXSVM01nVBAA0KuykSQmVoFhSwzuVRUYGik+3HaHRcJ/2ATIsj8TkjxqjEXA2I46TmW6621QXxJJySJUNel1SSvF06BxL+rNSOVCTMMtMkcl5gfbBimJWC7uWi682Tvsg02WO970581zYzI3n1fSJz4wy6UbLuKy+Kq4qB4BTZMx8Qd0pAIAXYiKbYoSNFatXr66YWLFixYqS0/iUsUlGC0gOtaP9JOFgI//Bz8z7s69gblND7SX315c2HqHvZQPJqsMk7fNM1lRPssqJVYgA4NJ++nJ0rDFzH3Wkrup1zBev+YJUMnJ7WF9PCkya8CGbZsmMbLti9dTm5s19xJrJND1LsSNDbbJFRctm4RyLnX5zm/wc83xHLYpiLpPVVax85n6Ja3n65zKjAZOL8LJQTltic4yU5NF88eeIQo25nGuSZcZ7wnXuWUnF/RRbm52vJRVyZvBgyzXoXO0G5voySlEUJQyapqcoiqIEMU2xYt68eXAcRxiOHz9+HAsWyNQwRVEUZRqp8jQ9nU1PURQlBMMjGKX8KYqiKNXJdMWKRCKB5cuXY+/evSOfeZ6HvXv3YtWqVeXdmaIoijIhqv25QpVRo3AiHpwwBua8PS2zbFXur4Q0P7rwhEE5p+VRehun4NnqxfJ1lre7bMQaYGg+uA4blk/M0ByQpuYsTxbrjyOtj+9zn03P6frg722/OJcZlJYXoX1YL8nAFknkw5l14mO3nUv+KHCXvIIsU6TdBfjt8i1Uigk5rzNcrbI14p4vXUXHWg+apjfbEZkWMoNBmoUGXMcRko0XSCLuDFjSmMnknKXozgCn3KHoMgB4Dkn9C9Q2sbkupbv5tD2nywFAhFL7RBkxroPZKESysp3xaoqfYJ++j5BJrc/m7nFZnkv1YJPzPHWv4mSqbku/ZtPzGKUHps/UGMvJBvNim9sozYo5dY9NzrkeHFcHMmb6TG0yyI0f6MtTyo3FPHw0Lal+8VmCUoO4zBg19DFrnumo8izfn1druudmh3JuC34JgaYUJjFW9PX14ZVXXhlZPnz4MA4ePIiWlhYsXrwYbW1tWL9+Pa688kqsWLEC27dvRzqdHpldT5l6OB1uXlKmotbSLBDpaHHfsHpyYz6SaTGWz052iW2a46bJeVfebFfOohTZHkqr5XsRkAblnLrL/fG+vNku8XMGpz0DQDxhnj9OyytQap9DZuScBg0Amf7ipuj5tBkYnVqzDi6n6VkmAgmKaW4tPcdRqrrtUVL0jamPkZ9r1jPWZZ6rRJelnvSzijUCHhtc8zISk7vYEGbj/LPTPuK9lr4PHTuXyf2taMBMVNyXAoBEr1mIFxvch1eKxUkphIwVsw19GaUoihIGTdNTFEVRgpjEWPHcc8/huuuuG1lua2sDAKxfvx67du3CrbfeihMnTuDuu+9GR0cHli1bhj179ghTc0VRFGWaCRkrZtsgt76MGkU8UkA8hHwiSPnE6h4vKCvSUh6rp3L02liYj5PhuU1txeoqNjTnkVGHXisHGZoPrkMGfRM0NAdsiqwg5ZO5WKDzz6omQB57kKG5Qz+ZazMvZmNvuUrAPuU6YlA9QCUWaIJuve7Zad0v+rUwh7QUyUoJVoHxbyZUTnx+LaMSY92WAbdryURQotFgeXanVDp8W1jbAHOZVUgxc6Babs9qK9vFxaN/JAQJagJ823TGfeZGrjlALg1LaZCZ98kjvoDFFFUooahNZlN0Nh8Hgidb4N8oYLpu32J867FRbYHbeTJip7bPiVmmAKdqsul5bbN5obChb29GKhYcVj6T4oiPNZ0xf8Q5deY+G5NyuPtMxhwSj1Msbk6ZZZzoN43DB/JSlsf7CZospC5mKkqa4gE3lYX58V4AQCZuGRofB5MZK6699lr4loleRrNp0yZs2rRpHKUrkwH3122ZC3yd9xbMe3pRqqvoPuZGTXWk7TmF91tDEw4kLcbqo+kvSDXR+Y2njOXj/eZLVTERAslwWGHSUC/v34JrBotcniYtoDY1HjeXsxmb/JfabZHKYC663eax80Qg3McFLIpgUtqKWBGnZyyL+pcbjXwLHfspMlpng/Mai0rZKx5rxTNVnVlGoptMvqXgFfl6c5kvtRiJe3P0bt5NWEzo6VIJyqBwSNwbsyjNg0j0DlY8mi/TZBcIFytm2yB3RXtGbd26FVdddRUaGhowf/583HjjjTh06JCxTiaTwcaNGzF37lzU19fj5ptvFqaNiqIoZcP3S/9TpgyNF4qiVBQaKyoSjRWKolQUVR4rKvpl1NNPP42NGzfimWeewQ9/+EPk83m84x3vQDr9xqvTT3ziE/je976H3bt34+mnn8bRo0dx0003TWOtFUWZzVS70WClovFCUZRKImysuOqqq7BkyRLs2LFjeis+y9FYoShKJVHtzxUVnaa3Z88eY3nXrl2YP38+2tvb8fa3vx3d3d346le/ikceeQTXX389AODhhx/GJZdcgmeeeQZXX311qP058EU6WdH1SzEgH01gflbwPhO0zzwZbQYZmgNSohvW0Jylmp5FBhxsWB7O0Ny2DV+8nIYXJJ7k9ATbfnkNTu1zg3JfStgvp6qVzRCvyD6lMbgl3Y2Pno+Vl7kITusDrGl1xfBFGWygHHy/+tHI0L+hdl2kQFT1FKyVylTGCy8GRIYU/yIVzWLaycag5DkLJ2deLHkyLGdDzeFr2oA+ivVTmXUBEz5YfKldqrcwSS/urYtoju5X2zp0LoLav0ITteyWdiaSp5Ts4v7Z8CnFDmSEa0u9EPc3XwdJs56clpfPWLpfVEYNGZTnybA3QsfOBuiAjFnS0Nys19x6M7eCU+i6QbmaAOoT5sXTlzP3wWl5vL4NNjROxc1zwQbnDPdzhs3JR3M6Z9Zr2Cw6ly1Pmp76C1YmUxkregspZAuD91CBGqJFFnPxjmyTsTwvYeYtzYuZ5uK/z8w1lufEzfs3a8m/dqmvfG7qjLH8hwGzTKYlKSdK6BxoMJYbEmYgPJOtLVpmKsGG53KdhpTZBqQDnsy7z5j3ty3d2knR81COJsjgCR8cKoMMzf28paPJH7H9BE2gwWl5hXrZ1nGfPX7GvLY8moSDJw+yxUTub3OfOUrm7EkyQef+gO1UxKh/VKBwwml5vL4N7oNFC+ZxiKxTYa1AcTQmr5N8HT1fDqULuhaj/XFR5c8VFa2MYrq7uwEALS2Ds0W0t7cjn89jzZo1I+tcfPHFWLx4Mfbv3z9mOdlsFj09PcafoihKKUR8v+Q/QEe7p4tyxAuNFYqijJewsUKZHjRWKIoynVR7rKhoZdRoPM/DnXfeiWuuuQaXXXYZAKCjowOJRALNzc3Guq2trejo6BizrK1bt+Izn/mM+DwCD9EJ2A7Ll9/0tjtAScVG4YBNtUTKJ6GEKq6UGqwn7TekoTkbmMdsZoesniJj9bCG5oP7MQvNucXfpbJhYpChOSBHkcMamtvMxlltxWoqLiNK9baNdvN+xNnievEwE40EWAVeQconHpUKUk6VgpSiFV/dJi4g08XhapZN3upBGiCPtR50tHs6KFe8GCtWjB7F4uaPVU6ANCTl+7eQCnmvlLA6K6HYNF2onKTgBQl6nsrO4Xrw6CuKLtvq7aaoLaJ7WijP+oJVT8IEPagdEXNW0wq2+53bcZ7yu9c84ZFGaudj8jrhtp9xyTQ9kTL3WZ9ip3tJf86slzAFplk46kjFlM5J82I+u621pnojTYbHcbppsq5syOOkfMqRsqk2Zl7A3TT9/IBrHmdDTJ6bRnK+zfJNMlFCxgpl6pnsWBGN+CN9wAaSzc5ht2YAZ/LFFUTHck1Fv+dnhqCJlgDgSMZs2Lvz5r3UFDfrfTxjqqAA4OIm00/rF6fPNpZ5Ep1UzGy7WOnIfW8A6B4w65UnVQrvo67JvL8LBRksClQGK1q5nffoGYvVqbbTzeoq9FM702y2sf5JMkm3SIx4ghJuhHliDydNz23p4E5EgUzOWVzK8Z1V4TbltEvhI9FtLrOKXExYYmmiOWyyei1CfbKCOd8GvAQr0+Q+YgP0XGZRT02IkLFits2mN2OUURs3bsQLL7yARx99dMJlbd68Gd3d3SN/R44cKUMNFUWpBqp9BGMmUK54obFCUZTxoiraykdjhaIo003YWHHgwAG8+OKLs+JFFDBDlFGbNm3C97//fezbtw/nnHPOyOcLFixALpdDV1eXMYJx/PhxLFiwYMzykskkkkn5yjYRcWGZNXJMgjyiWOkkVE60PiupAIg5KtkDKgpWQpnfxy3OSezxFNZDilVLrMYCgALM0YYgjygeKbW9IWYlkygzQNFVCkKlFNJDyrdIo3gdHqUPemVRyjuNiFCBkXpAbBCwDIv6KsAjZTyiQnFuOB+fdso5/5aZkS0jU/7Q52V6OTTDc7s///nP4+GHH0YkEsFdd92F97///dNdpbJSzngxVqyIuG9ce9E8jR5aRu7E1MEBIsJ8Y3FVE09NDMjpjLlJFcqngFFNwDINM41ScnsXYYERexrZVEz0mfCZouNiJZWXkMFCjCST51OEvC/E7xHjkyl2IdumDB8IKWJJ1RTlfUCOsnM8apljKin6Bsxrs6dfytvYgyuZMH9Eodyl2HGm3xxGbqqRFwqrfU8MmF4tHBoKDim8LOrqFE03n87TsZJ6ozlheuVkSBmVtVx8PTREXjN0Y9kU5eNCPaMqmqmIFTXRHJJD9/WcuHn/dhekCups8pHi5wzuv7+UNuvD13QzeUgBQJIa8gLdG3zv1MXMgNOa6hVl/q5vnrlN3NyG++OshuR+cb4gH09Z2cRtWYJ8+Xr7zd8jn5VlxhL0/EMZF3HaR46ku16O2hVL0yGUtzXU3lFsEH5P7GkI6QHF+011mvXK15GHZINsmLjv7GTYo5XWp0PPU2yO91meh2gfeW7uuKvEYdVi58d9MDdJnls1pArrL95ns/VTCilSTw3vs1z9/Bn+XDFRKloZ5fs+Nm3ahMcffxw/+tGPcMEFFxjfL1++HPF4HHv37h357NChQ3jttdewatWqqa6uoijVwAyegvVXv/oVHnnkEbS3t+PAgQP44he/iK6urumuVlnQeKEoSkUxg2PFbEZjhaIoFUWVx4qKVkZt3LgRjzzyCL773e+ioaFhJFe7qakJNTU1aGpqwoc+9CG0tbWhpaUFjY2N+NjHPoZVq1aFnklPURSlFEqdXrUSp2D9zW9+g1WrViGVGlQVLF26FHv27MF//s//eZprNnE0XiiKUknM5Fgxm9FYoShKJVHtsaKiX0Y9+OCDAIBrr73W+Pzhhx/GBz/4QQDAfffdh2g0iptvvhnZbBZr167Fl770pXHtLx5xER/6pXnqUxtBa7CcNsjA3C6/4zJMLWaCyvRgSkptqWpB6W2cthfW0BywmJqzdJVOHsuES0GkD3IKI5uRl2CSPp7Uvskmakkv45fjrmXKWoMgs/FSCCqDv7fdIB6n4BSXGgdKUq3G62OsU66fttTRiXGMYOzbtw/btm1De3s7jh07hscffxw33nijsc6OHTuwbds2dHR0YOnSpXjggQewYsWKksq/7LLL8JnPfAZdXV3wfR9PPfUULrrootD1rESmMl44Of+NSRj4NmBjUbwxDfAwPPWwTwbnLGUnn2VreipPT5xrpokqKLWP68kpebb9ihREkZYXsL4FTgUQhuQBZuK2FAafUvciNF03G5yLtDxu2yy/KVLFjW455Y7bPpHeAQBk7spNyOl+cwUnznWQjW4iScbqlIbHE4HwPh0y303ngn/UllrzwrHFWqMOlvhfyJnpRpz2w/TQ+o2JgTHWHFUmmZr3DqX+5SzX1LiYxFihjJ+pjBVnJXqRSgw+avEzQW1MptCdKZgprrVR87rvpnxrTndbWHvK3N6S083345F+08CcU17rqIxXes2UPAA4u9Z0oj5D92OBGvY8xaverMXtmmiqM+/pAWqL5GRAZCnC7SVk6l6c2ks2OOd2W6RWx2WenpcOaDNF+ptfdHkQ81riFPlMAz3nZaidtzxXRLMUiylOugGPaSKl3vKTcmhNcMZnQFNom7SoQPYeNssBo16UzR60PiAnphmedMa1zVo1Hqo8VlT0yyi/hJOeSqWwY8cONXxUFGVKiHgy6I61HgAxxfNY3hIAkE6nsXTpUtx+++246aabxPePPfYY2trasHPnTqxcuRLbt2/H2rVrcejQIcyfPx8AsGzZMhQK8un5ySefxJIlS/Dxj38c119/PZqamnD11VfDccK/CK5ENF4oilJJhI0Vs22GpEpFY4WiKJVE2Fgx26jol1FTjYM3Rrsdi/F3EKx0YhUTq614DNOxvBJ22QSd9pEjd7comYmzOgiQpuY8WuMJs/HiiiPbqCebmgv1VMB0szYDUTY9F/UIUHwJM3JLh0Ssw+qqKTBFj7K6wNL4sCmteDkvjnUSlFAMf2/r73GRPDrDKhNWTrFpsEXuJFQjPv07UUKOYJx77rnGx1u2bME999xj3WTdunVYt27dmEXee++92LBhA2677TYAwM6dO/HEE0/goYcewl133QUAOHjwYNFq/cVf/AX+4i/+AgDw4Q9/GG95y1uCj0Ux8GIRRIam9o26xc0wAYiZFYX6h/2y87xc/D4BADdFU2efMLfJN5BBrDkAj4T5znRwN6xCGHYmfgAAO5dJREFUouUCjTBGs8W/d7Ky4mzWKmeJoGUOHbZ5P0gJxfX2UhQrBmiK8DmmEiBiGZn2u0nGRO1OpIUMfHMBU4hb8EnFZBvZN/ZpGe12aHILoWymNjaVNC8+NgX2LE1fKm6+/O7LmeeGY15t3NxHU0IOTbMiO2aTA46ug2PWoYYM0LmfAwCvpU1FyHAZrNoYNyFjhRqYzz763CQKQ4bgrHJiFRQg+9MZCigpCg4NcfPeqad56fk+AoDOfIOxfG3LIWP5xf5FxvLv++Yayxc3HRdlsik6Z0ecyJjS27kp81ycpokSGlMUTAD0kXpKPgNQLGY1qkXaw0ooVlPl+sk0vd6sV/akWW/kZQcgOtfchtWmhU6zDD9Jyt6sJciJvjTt0xJrjTIt2RRRmtiD++c+hbxYPz1jsbm4pQos1OM+AhOj0MDm4wDgRznjoniby/V0uH9lITPHfqy257NxETJWzLaBC30ZpSiKEgYfoWa9OHLkiPGAMZYqKohcLof29nZs3rx55LNoNIo1a9Zg//79JZfT2dmJ+fPn49ChQ3j22Wexc+fOcdVHURRFKULIWKEoiqJUISFjxWwbuNCXUYqiKCGI+L5Quoy1HgCsXr26LCMYJ0+ehOu6aG1tNT5vbW3FSy+9VHI573nPe9Dd3Y26ujo8/PDDiMU0DCiKopSbsLFCURRFqT6qPVboU8goYqMMzEuBU+aCDM0duoiEgbnVjJlk+vTqVCxT/RMW51WW6bNhOdcrrKE5INPyWHrM9WRzcVvKYpAB+UQNzW1lcmIAl8EpEFYo1YJT/yJ0/kq5AkXWY8BG4hcKSOsbLHMSzNy5SM4+Eml59H2B5bhyF6La5TYw93zALeFXKleqR5kJo6JS7Iw2MOeUO99iaOlki6fZCUNNylDg2zPeK6+tgXnULrMZNgWoOHnn8vqDG9EiZznQceQbKP50F68TALB3NZu1Rul8svF61JLC4NZRahqlAnLagzA0z1Cl8nIfvA3iVEaW0vJqbC7oJm6GumRsJk5lxCiFLpGQ++CYxQbmSUrLy+WLdwtt8b4haeZeFGgfQebjR/vkCC/H1rk15gXbmjKdb7OeWe9hM/Jhmi2G5mel+sx9Dp2rXK54fUtmhscKZeI0OZmR9M+MzX2ZaImZ1yTbexzLNRvLZyXM9eOULrck9brYx4+6lxjLJyltL0f30uK608Zyd55S0yD7zgOuma7GBubHesx7/oJmcx99eakgP1WoNcssFPe7jFNac02S88iA3rTZTuQpZTueIkNz3meNuY9os2w7PIof+Syl8tFkGJw2bsOr4Rx6iptUBqfQcx/DUoToM7DRt8sp9tQhsBmv84Ql/OAcZCaeabFYc9CpSPSa6yR66NmPbsMCWRzELamACepzDZ8rYaEwXqo8VujLKEVRlBCEHcEol5x23rx5cBwHx4+bfg3Hjx/HggULJly+oiiKUj6qfbRbURRFCabaY4W+jBpFPOIhHkI94QQoR6ShOb395u8tF5krTNBZteQU/d611FEakJv74HqwoTkboLs8pygsSig2VheqJjZNt9W7+Do2s/aJwubjYvruoPVLIMjQPGJRWvB+hFIqQHRXFtVTkNHweIrkaXJJKeWz+sBiwijUUsPLZTMwR4lGg4P/lMtoMJFIYPny5di7dy9uvPFGAIDnedi7dy82bdo07nKV8BSb+STOKigA+ToaqaNRNo+u6ygPrlITm20O0uEOmqwbRdCgsM1oPQhuNryEWe94HxugmuvLkVRpgurRgLjHqiUq0zZFNVw+9uIjtqxy4lFlNjwfXKm42g2kvvLS5oH5tdKQO1ZrjsK7rMiiH6BAKiY23wUAl2IFj+xzlq5L5y5BI//1ScuQOhEjVVM6b0riuJZzUlK1xLAi60TWNEQ+K2kqRPJ0obBSAwBidBMnh2487vOMm2mKFUrlkIjmkRy6L3mCodZYt1j/cHa+sfxHqWPGcnfUVAexkipP6qvn0hcG1rHPNdum5pipQuwiRZINkTFBy705cx9n15vHXiCJbFdGqq/m1pn1YkPzgZx5jwsDc1beQ5qJx6hdFmVkzfObrDODdTZtk/8WV/xHqd13msw2Nt8rVWLR3hJi1CjcVPG+9WC9OC6aX7MqWcRNiv9Or6V/HvDc4Mqf3SCeLv49IPspOZq8Jd7Hz3VUh0TwxEgjiqiyGZgjVKyYbejLKEVRlDBM4gxJfX19eOWVV0aWDx8+jIMHD6KlpQWLFy9GW1sb1q9fjyuvvBIrVqzA9u3bkU6nR2bXUxRFUSoEnU1PURRFCSJkrJht6MsoRVGUMHgozX9qaMQkzGj3c889h+uuu25kua2tDQCwfv167Nq1C7feeitOnDiBu+++Gx0dHVi2bBn27NkjTM0VRVGUaSZkrFAURVGqkCqPFfoyahRxeBgrc4Elp4A04WY4DU9sT1pCltMDEI6x0rC8eIpdgrWFADwyNQ9raB5lU3WLpJ3LFIbmXG+W+FrOBR97kB2sSOvj47Cadhc3PWfzcZuZKxOYUjcZRuGE2AcfuyUVUPjrc71FphCVaZUBj1XD4WoVlzNXgkR1Mj2jrr32WnENMps2bdK0vGnGj75x/ccyZBBtkXgLA3Nh3E9fk38pm416FmNQ9mfm+7NQE5C7a+vkjDUZwPBioXjbxakBnJIHALkmimlkYBrPFE9JLNRY7hdKSZSpfeYyh0mPUtMiBYuBOf+GdWZEilC9IpRCZ0sxLvSaPRBO35AOs5y2J41vXap7qtZMK6klU99YrfkDZCj15WRfndhH3DHPVzJePDonaf2T/TIN6Kw6Mx+jPm7eBDnX7L7+e7q56D4bEtIZV6QTFgZTbPJlMjCvdh8QBcj7DmJDDfrZ8TPGd6cK9WL91riZvsb9cTYoz/jm/XlWzDT27+XZMQD8UW2HqONoXs/OEduMJhGV9zen2eVccznpFG8TTmfMNmBBXa9Y59XTc41lTttrTJn3OKfhdvbJ852gSSC4Tz+QMc9vJGaWme0zU+icpOWZi9t6auf9frJbofUjPFkGAK+Z4k2aZwIxF0W4j1vKpDT6WK8ZOzh+RygNj1Psc81yH5wyLywJeH26bHKWrnSyy1zm/hb3p7JzivdbYhYDcw69w/08N1ee57dqjxXBxhOKoijKGwzLaUv5w6AyasmSJdixY8c0V1xRFEWZMkLGCkVRFKUKqfJYocqoUSQiHiyD2mPCiiHGZsI9GlYLWaQmYshWGJjTK1+XHOZsdWQTxYkamkctN4dQHbFhH+9TKJIsw/R0fmS9i6ua5D4sIwMB9Q7CVqYcJ5l6WJ0llFK24+RTUQ6Vkjg/bHhMagK+fnk2W5uag+sdNf+dMOoDovgYuc5YGWXDDZgZI8gvma/dmGX6YzYk5+mL2bSzQKbqtnCVp4FkVhCxGqtAg/BOltS/FgPzRI+5Tq7JPBkFiwqsWJ0AizmrUIJSe8jtTs484X69ZVQ/a8Zen9VTNIJuU0IxkSRtwxNm8Ogs1SGSkufKoenNudvRQ1Obswl6TdIcuq5JyOnRmTgpjngiFVYfNNfIC5oNjNkAuSlpblNHyqkMGZb3F6SxcCOppWqcwWNz2O1/vFS5D4gCOPDgDHVcFsXOBKwNdLmmQoj78Cl2kSZY5XRO4pRYp9uto2XzXntTqtNYPpw9y1i2ZQS8kjbXYSXjObVdxnJntsFYbqZJDLqy0sn6vDnm+fvDGVPBxZMzMLGYDBbcZxfHFtBXjqXM36PQbTEwT9F+KaZxRoBHsUNkDAAAK4YDVMxscB7tt0w8lS0eo/KNVG/qtzgDkaLLNqJ0akQ/nYqI90HA/RSeMIa3cajP5sW5nyLrHRsgBfdwiChTqAgbK2bbZBf6MkpRFCUM+oChKIqiBKGxQlEURQmiyge5NU1PURQlDF6IP2ianqIoSlUSMlYoiqIoVUiVxwpVRo0iFgECsikM4qTXdOmlZpzln7S9MAa35D3l6X1hnt6cCgPzgBS7wW2oDErbY7P2ICNwq4F5gFm42GcJKYsyDY/TBYMNysMiJLyc+hfha8CSFilM0Dk9prhkl1PsACAa8jWyMFBkbF9zpgulb/D3vjAst5x/XifsT8SbW4wdZSrf0EZlevU+mQbmyswgnvYRyw3+vrl688LidDkASPSa10uezMTjaW4jzO1Zyp6rkzdsstssI9tE7QxlMHA9bUaiQoZP63AqIBMnD1qWw9vKcDKcskBlpoun9QGWdMCgyUYo5YFTGpArofGgdSKUHud7lPpna5O5feQ2l4y/nVTQNB6SKKXQtTSaqWqcYpeneucCUmGA4Njr0D5s5sYxSlkcKJgXbB+l7dWSMXtrjXnx2UyX0wWzjIGh1L68Vx6lUthYMdtSLxTgokQH6pKD98xL2YXGd5wuBwBLUv9uLB/Jm6bdFyaPG8su9ZUbo+b9/NvcArGPpTV/MJZ/MXCescym6D2Ufz03bk4uAAApx8xXao6baXd8rzFvqTdTAw/mzxHrcBvQSOm9mbwZLBY2mG0Ap/UB0qBcBF9qyxLU5uYyFKCSMh6J+YE4ba+3eCD145Y3EAETYkSonY4OlBDD+BmKmkyHDMu5X+IF9DGs0OQsIirSodsyqMUEJHSpURaq6Mckeui5jh/mISemcYeyMctlw1LtBub6MkpRFCUMmnqhKIqiBFHlqReKoihKCVT5c4W+jBpFKhJBaugVtjuOH5wHfYPemHokC8nbZCJCbUXTvNJeeJQkb1EtsSopLkzPzTJYXcUvpm2KLv6MFVtSCUV1nBRz8eIKr8F12Oh7+m98mzLKoxF0NroVBuVcZuAHkCa/Yh+0vlguYeQ/SHLKZfLoj9W82F6PSL74OSkZzw9UWoysp8xK3FQEI7Nd0M/MKijbOjWnaTrpmHlt5mtpFLNgFmAzTWcFkTBN54FRKsKz+K7K6YypSBo55fULphcvHJvxOg+Y80go3eP5OhrFLMj72ieDWJ97OtwMJcgw1g1o6ywIE1qavhuWqbQFVG+eJpzrESf1lePIBrU2aUZsl9rgTI4UR17xiUJY1QQET4/OpHPmhZR3pdqKDY1ZbR2nC4Onlk+TYfmJgpzWvTFuXpDzkoNOt7l8mVxpNVZUPf9emIOaIcUO92tZBQUADjXMf1xz2FjuJbnJ7/PzjGXu554dPy320euZSic2MM/QPrgNOJEzzcdtdOXNMmtIOcXqkyMDpmrprBrpVH0qYyrJWMWJuBmQjvWa9UzFpTqSTc8LeVKwUltWyJDiiFRL0XiwViZCsdifY0p1fNqHtS9NE2ZEslRv2oQnE7H1nWNkOM4JKhyrC5SZwHHTNjGLUDYFdMtd2qeI5bCYmtM+2PPfc2inpKTOJ6SKzCED88TQhDCFfJna7iqPFeoZpSiKEoaQU7CqZ5SiKEoVUuXTdSuKoiglUOWxQpVRiqIooSg1IGjqhaIoSvUSLlYoiqIo1Uh1xwp9GTWKmoiD2mH9pEi5m/gF4NGFxmUK/2cAOTb69kxtZd6n5Ygp74xDylJd0ojKtDySnZLWklMDPdacAsiTW64wNKVF/j5awk3JkmdhLi4Mz8Pvg5Fm5FQHi5yW0+zkcvF9BqXclVKmH6SFnSr4OoiwrDfIaJ3OP8ttAYvsd3Abq9n5eKjy3G4FiOb9kbYg3s/XpFyf0/AYaRRe/NqJD5TQPpJ8nM1FyV8W+UZLultxL1cBHwen/tlSA9g4nU3OvaD0NsvX0RxVnFJ0vQS3Q1RkjA7E1gZzKiCnjIRsywCZ4iFStPmwsmYXzk/IE9xDaSiJhNknEHGRlrM5cx+1Kel0z6l7vMwxjPcRs6T+dabNtLqmlJlSl6A0vfq46YTL/RZe38bAUB5qrlyutBorqp6m6ABqncF78HxKmctYggWn0DFxuq7nOjKdbTRnO93iM77/fueYwYDtQBYnTxnLL6TPFmV6lNPFabQMT1rQlzVT8GwTDjQlzHr25c0crv4BMy+c2x3HkXWqSVKKHBlVD2TNlMUClelmzd9QTPQDwOdUcp68wgl//7PthIitvMtaeq7LWJ7bqI8cZXNxj/dJ5yJF7Xq/5XlITDBkLgf1OTjlDgCyTeYy++tHyeaA7QJ4H7y+jWEbhKCU9JKp8lihL6MURVHC4PkoaXRiluZ2K4qiKCWgsUJRFEUJospjhb6MGkU84iBuUfkAQCkzVAaangvvZvOVsF19xWbjvFzc0DxvcXtzqAxWQgV974ENTi0m6RHepvjIqNiHRS4kDMjL9Ua6SL0mappejjrYdhmh88OXnjh94jjGce54xILVBOP5ObgMHlUSx8UbWEahxjBqFmWPF98b/CtlPWVWEsEbt5ST46E9uX6hhsxGaZNcQ/EJHfj2zbM5OeR0xaw44iBWqGMFkigSqZPFVV+5puITEvBxupZBfx4A53rblGajKdTIz8SgPJ0/h0ZsXTJaZztNoZQCgkez6fsImYvbRtCZoDWcICUVgBjVPREzTzibh7uueex1NebweF0ivLl3Y9Icim6hqc37C9I9vzZuXgjNpIpg+mna9968ebE1xKV7Pqs5hvsYrOweNxorqh4n4sEZ6re0UGPnWDIXjorJf0jFxIbl1Ogm6JngtC+N+1tITdUSM5ej1CC+PNBqLLM5OQD8SfPLxnLGN+/HX/WeY9aTzkWM6s1m5QBQR21CY8K8pzPUBkRIAXuyT5YpTc3NbeY09BvLZ3pFsDBwc5ZnSFZCMWxGzuuX0jwETFASZQNzm7k4x2JWFMeL9wdiaXP9mGXCkqCgFqNmPtJHz2QJS9+HFFwxVo7TIpuiuzWkoLMpz/n5Z+j8lStUVHusUANzRVGUMKiBuaIoihJElZvSKoqiKCVQ5bFClVGjiA79N+7tA5RPAiHhkOvzGjxKIpdZOSVHXnLCz4kVR+wZxV5MrJyyeF+wX1NAPYUSynK/sUcUH1mQckr4Vo2DIOWUbR9uQD18Vjmx/1MJPlRRulBcnmI1QCllPTMl/CZFsY38cz34kmeflaB9WsWE9hGgQD+qUgkpp1UD89mHjzeUgLF+c0Q3MzdYR1tImddisps8dmi0jT2nopbphH0KQFESm7i0TydL7Qz7WkB6PvE+2KeChbg8jbPNM0pMHy32SRtwNW0eHdT+8fkURWRIKUVlRmz9AlZwsbcVt7GkQIrUyNgcI6VTIWdu41MbFk0Gj5JyrMgVzB/JozLZZ4XXz+Tk9V1HPlJx8mbpyZoqpYJHvpWWGJekMtibI8jrij1pWAUFALGoXaGVt/iSjIsqT71QTM6JmSqlZ7PBKsMTrqlCWproMJb7qXFLUyPcLCSyQJ7uhdNkDnQ032wsL0yYvlP1LEUBcLpgHluW6lHjmMfaUzDlKXNI+cgecACQcc22pztrnhtuV/iu4rYOkLceK0X5e1aK9pKS1LeE/2jSbGfcPG3DbTD33/ul/MYhzye3hmIBNXeR/hKebelY2VsxKBbz+lmLEpp9pFiNxaGAfWEtzbgoI+jZRXhE8W1os6JllffQ5RskeiuZKo8VqoxSFEUJQ5WPYCiKoigloCpaRVEUJYgqjxWqjFIURQmDj9JeNFXou6j3vve9eOqpp7B69Wp8+9vfNr77/ve/j09+8pPwPA+f+tSn8OEPf3iaaqkoijLDCRkrVEWrKIpShVR5rNCXUaOIIoKoTZ9XIp5ITQsQnok5LeX6nM4m0t+EEXjxND7AZlBO2wSYi+dRPM3Ptg82BBXpbCybtKXUBazDxxqktLfVeyK//9j7MetlS0mYKFMhwuF0D3EYvGw7TqHBDVmJUtanFBt/qGJlO+2uC/glzP3tlWt+8PJyxx134Pbbb8fXvvY14/NCoYC2tjb8+Mc/RlNTE5YvX473vve9mDt37jTVtHJxcj5iQzddttnU5TsZS9oYp6/lKHWq0WwfEz2c/2YusiE6YDEkDbhX3GSwgTmntgbd8yx3L5BM3zbbN1fTZ2NwXqRDj/fKc8FTTHO2Ohux8oFFc+xWKnYhjUu5aUuRYXmcUtNzMvUiT0a2UdqGTdDlDyJ/9EKBDcopJZG+jyfMk5UUdbBc31SPeNTchs3Ia2PmciwqY3FQWh6bnnPfKBUzL0abSXqKUvlGDMxjMrVpXMzwWKFMnPlOL+qdwfv61znzd17gyN+91zPvxxZa58V8k7G8JG6m0MWpv36kIB9YUxHz3mA7D+5LH8+bZdgMzJPR4mmxPIlRc9xMy+vMNhjLnNZnI0fnituRDKUYL2ruEWV0DZjHUksTNKSzZrvB/eBkylyf20IAKFC7zuu4lIYXIRN0P2Fp1ymlO5qlOCh8TDgHz5KySP0UP0a2JNRHcAYo9Z9T/W19EA6tdAvwRCzCTsDWVAaEQe7riAlNyPbAtU0QQ+uM9LfKFCqqPVZomp6iKEoYZnia3rXXXouGhgbx+bPPPotLL70UZ599Nurr67Fu3To8+eST01BDRVGUWcAMjxWKoijKFFDlsUKVUaNwIlE4kcH3c+44pk8MUtWwcqqkMsmIjbzchKpJqH0suxSm50Ip5YX6npVSNiaqlAJsqrDiyjJpvD6e808qG3G+WS0k9zEZSqgJU4JJujAnLJcBeBh4QIONhW114unlfWtR46fUgDCOoLFv3z5s27YN7e3tOHbsGB5//HHceOONxjo7duzAtm3b0NHRgaVLl+KBBx7AihUrQu+LOXr0KM4+++yR5bPPPhuvv/76hMudjXiJyMjomRzZk7EjnzLbO1afJnrNQnINNOKbpYkp0pZ91LFjKdWL/GBtCi4m10SKlzRtQ/vINxQ3J3WlOEUQNJ10hL+PBR+Hm6R2mkJWtFA8/rAxKwD4bB7OiiE2Uefpuy0Ko0iMjOyFGpiWSSkVj8tRUx7JT9Dodswx5992qI1lM3JbOxo0OQirnGwqpSAGCsUnBmDD8gQt18ekITKrOYYNzR3haDtOJjFWKDODU249BoZMsVmR1BCVSp0Ot54+6TOW/oiUUC+TcfjcqKk4ujBmrg8AfyC1VJ6ku/NiZr1aaZ+csQEAP+8/z1i+IHnCWHZJ+/Cb9CJjmZVQZ7K1Yh9MHSku03mzXalLmN8P5IMnF+npp8kWqN3mNjZK7WU2I/dRGKBHbVYQUQzzKQ7YVEwcB0XfmPbBy7YmTqirSW0ljMLZM53Dj6VZE6EiSMGdCN9zF5OgBCi4+bhYjWVbJzJkJO5z32G8VHms0JdRiqIoYZjEWS/S6TSWLl2K22+/HTfddJP4/rHHHkNbWxt27tyJlStXYvv27Vi7di0OHTqE+fPnAwCWLVuGQkEmqT755JNYtGiR+FxRFEWZBKp8hiRFURSlBKo8VujLKEVRlBD4vge/BOXk8Do9PeYoYzKZRDKZtG2CdevWYd26dWOWee+992LDhg247bbbAAA7d+7EE088gYceegh33XUXAODgwYOlHIZg0aJFhhLq9ddfL4viSlEUpRoJGysURVGU6qPaY4W+jBqD4XS9MIRN7WODcxfhjck49YxT8Kwm3WW+mG0m6TKFjtNUiqft2WTAhRLSAcNQikn6ZMBpE3LZXN9WT/4kQhsFlWkzWRT74IwckbIYUIbtXE7w/Ip0QpsMmCXNPv07UXy/tNGJoRN47rnnGh9v2bIF99xzT+jd5nI5tLe3Y/PmzSOfRaNRrFmzBvv37w9dHrNixQq88MILeP3119HU1IQf/OAH+PSnPz3hcmcj0Zw/kiLtxczrzWYuzpdtIcUunuY2sQyla1F+VqFW3ntRNtikcML15CY612hJBeBsAcpAKNRxqoD5vUsG5rYmg9MHuYwYmYnnG4qbqgKy3mxI7lHaHqcwsIl6xLWcGzKddTJUz6biJvQ+p2pYPnO6zS4aG7MXkpTeGbfEe0oBicVN1aRPKQ29afOEJhKcliL3wal8KdpHJmOaBCdo/WRMKjnzLpn6BqQCMt1Zc58NiYxYhw2Qc0MOvvlMmVxpQ8YKZfYxx0mjbsjAvMs1U886XDko5VID+Dqn1Dlm2t4CJ21+T9sfEWl/QDOl8nH6YNpLFv3+lwNmnwYA4hRwuulYfzcwz1gu0L13IlNP38s4Or+m11jOkeN2S9I8F7/rNvfJZuQAkKS2KkUG5gPUQPL63E5x6jQAJBvMINdQay6fOm0euy+ePy3PAOTZUju331jODJj1LvSb5yqSt0yCQql/UWoyg+I7m49bHuNEGj6nzHGKHafH2dIL2Xjd8thrfk+ns1Bj1ilmsTAgL3x4Q/e0myuT9XaVxwp9GaUoihIGv0Q57VDQOHLkiDEF61iqqCBOnjwJ13XR2tpqfN7a2oqXXnqp5HLWrFmDX/ziF0in0zjnnHOwe/durFq1CrFYDF/4whdw3XXXwfM8/Lf/9t90Jj1FUZTxEjJWKIqiKFVIlccKfRlVRlhNxUopNjhnQ3OH5SsAaLB7UqY/jNLra1Y1sZKqFLNxuY/iK7ESqmA50kDD8jJIXyZaBhu12mBFUdCyrUy5Tbh9sETBdtRSTcUrBKxvu1iDzAuDlkuYvp4PNeSAejCeFzz0AgBD983q1avhOA42btyIjRs3lrky4fmXf/mXMb9797vfjXe/+91TWJuZD5uJswIJAOKF4uvQIDF4Znk23GblFAB4NB1xvpZuQDblZkWRbQ4DMufkfZD3NQo043fcHMgWI6kAUKgz98Em50LlRCOrltnRhek5+fOKMlhxJMzJeVpsQJ5PVruxQTk3RBYD8ygb1y5kg+3i7Y7nSvWwmzU/Y2E0T0zB7XiCVEuNKWkE3k/GwL0Z84U7T5eeJ9VDLitf0LN6ik3/5eQiZsVrYuY+WYkBALV0o81JDCpGcoUyKaNCxgpldvOm+BljOcMNO4AGMhzv9c17K0ONWRPM67yfOl5nk5IKAE64ZkP9an7+GDUehBVdNmqj5j3TTcFgQdK0KziaaTaW39xgGp53ZuSMv6/1thjLvaR0SsTMNqM2bp4bVnAC0tSclU4JUkL19ZttVX6AAql1MiCzrcrRNj6rlLgMmzKXYljmNfN8iYlVaHuOiQDgpUiRTeorP8vqalI5kQI5Zoq1AMj47tbQc3CmeN+IVVCAVE+JZwB+dAwwNLc9u9DljUT/YL3dXJkeMKo8VujLKEVRlDBM0wjGvHnz4DgOjh8/bnx+/PhxLFiwoKz7UhRFUSZIlY92K4qiKCVQ5bFCX0YpiqKEwPc8+CWMYAwbDR44cMBI0xsviUQCy5cvx969e3HjjTcCADzPw969e7Fp06YJl68oiqKUj7CxQlEURak+qj1W6MuoWY7NCHxq9mu+vbV4zk06Mt0wOIVOlkEpJCHXB2SaXVgD84qFJLrihf14Lj0+9oDUwKkwnBeEHMG46qqrSk7T6+vrwyuvvDKyfPjwYRw8eBAtLS1YvHgx2trasH79elx55ZVYsWIFtm/fjnQ6PTK7njI1xPo9xIbMovN1pOm23MCcyufTOg6nwyWKS9U55RuQCm9uikQZJTTKnJbHsP+ukMvzqbEZmpL03+eKcwYDpczZUv8Yn9L2PEqR4/SCSMY8WV7CYiDLqYCcdsdZerR+xGJ0K3dC6YR5MvWmfToxGaHYcJwNdh1ajtL55fQ3m7Ewp8Nwih2nx3C6YTwq683rcBzlZZfqlXHN7m2jxcC8QBfocJmlpNuXRJWPdivA2U4WDUNmx3+g1DXX0o6fR7lNnmc2qrV0r/RSvlWa0vps/bBUxCyTnxPYwLzBMQ3P2WQdAPpoG5ca7p6ceex1MTPdl9Nok46c1KA5adZDtAG0zCl3XQMyWPAvkMuZ59NzzeNIpsy2rq7GzN/K5uVjtSizwIGRNqAUPJ5gA4CcEIPjJE1cwWVwzBtcxyyEJ+7g1D8Rz0uw6mCT82ih+D44NETkZRFcj4B6sWVB3JJeKDJqI/TvRKnyWKEvoxRFUcLg+aUZUQ0FjTDKqOeeew7XXXfdyHJbWxsAYP369di1axduvfVWnDhxAnfffTc6OjqwbNky7NmzR5iaK4qiKNNMyFhRifT39+OSSy7BLbfcgs9//vPTXR1FUZTZxyyIFRNBX0ZVOE7ZXruOKlO4uU2sPGEsDlheI9M2ATu1KYx4EzY0tbwwLzusYuLjCFJOjQfbuRCCIVJayGmww19HQabocoMS9jHRdpR3YfOK5B/Bp38niu+jJNnXOJRR1157LfyAYLNp0yZNy5tm3FQUkfjg8BqrgZyMbAVyjWSK2svDfbRIlxeLaGwm6S6pqWIDNClEyhwOLJAnbZRnywBQIFPuoL4Sq5RKmUyAQ4VDI7ZsWOol2fBUlhmlEd18HdWDRp7ZoNytYZmZ3Icog8MqqZb8ATISt6jOIomAyUTixZ1YXVcORQsxaUA7LdTAtP6AZeQ/KiazMMvI0rzYbIrekJDtqU2BNZqUQ2qsBKmvIsWVVQDQnDCVFjVDLrXZeJm03CFjRSXy2c9+FldfffV0V2PG0unG0T90X9aSHHWBxVD7xZw5cPVHcdP4m7eIU9pOc9RUHKUtTtUnXNPs+tz4KWO5o9BsLP8ud5ax3GRxpu7INhnLQZMtsEG5Ry2V7RkhR+qp+oR5rFlSQ/ZkzIDUXCODRZLaouOoH6PGg3Abmx4wHbl9S7sVj5u/mkvtY54MzCN1Zp38rHyeimRpG1IcifjE4Soe/Iwl1L3cbaE4y4pjJIMV3GKf7AfP/atxZFxw30aorWjZpuiK91O/Y9i4PF+m7KNZECsmwmRMzjYt7NixA+effz5SqRRWrlyJZ599drqrpCjKLMT3/JL/gEFl1IsvvlgRM+kpGisURZkawsaKSuPll1/GSy+9hHXr1k13VaYFjRWKokwFMz1WTJRZ8TLqscceQ1tbG7Zs2YLnn38eS5cuxdq1a9HZ2TndVVMUZbbhe6X/YVAZtWTJEuzYsWOaK65orFAUZcoIGSvCsG/fPtxwww1YtGgRIpEIvvOd74h1Jvoy5a//+q+xdevW0HWbDWisUBRlypjEWDETmBVpevfeey82bNgwYuK7c+dOPPHEE3jooYdw1113TVu9nIj5rs+dpRfRTMWaChiSshmdTpAg5SanTcj0GVseCi8XL0Osz7kbg1uZi2SCLiS7/LqcNeo2X8exTJPL5Unr+dJk2bbeODyjlMmlXLHCyXhw3MELK1oIuC8ARN3iBuUupWw5JCsvJM2LOpaRsYTl7/ma4mX6WU5lkxVnOTunzAXeBpwaUDx7GwDgslk4twGcqUayfgAoUCqfyEwnc1chyy8lv5CbLjYop9QLNl4Hm9gC8CntwaU0hwilZ7L5eDIp08vYTz9oAo0YpQ5xM16wpAImEuZ+2dA8CJshclC6Mpss99N9WEp878mbaTyN8cE0nnw2Z1s9NGFjRRjS6TSWLl2K22+/HTfddJP4fvhlys6dO7Fy5Ups374da9euxaFDhzB//nwAwLJly1AoSIODJ598EgcOHMBFF12Eiy66CD/72c9C12+mU65YMd/JjxiYN0TNBpRNvgGgltLsuijtq5uu+yZa/5RnGoUvcNJiH6lIl7H8+3yLsdxM27TGzFS0w9n5oswaSpvto9ktrHYeo8iR2XjBYvXB/e3+vFkvTinmtixTkI+83WRqzvYfuQJNZhGQPmy7kz3q5xZoIgonZdbTY+NwTs8G4MdoUhSHJregNL0oLTuZ8Cl0YpIUNhunfVgyRBGh0OBk5TpFsZz+oNaT46gQF5XQ/HIZTnZwIzdXHk3PZMaKmcCMfxmVy+XQ3t6OzZs3j3wWjUaxZs0a7N+/37pNNptFNvvGHdDd3Q0A6Omb3JdF/DLKozvAs+SL5mmbXs9c5ir30/pZywuwjG+2IP0eNdjUMcxSA8/f5y03R44aX352KnA9qXXg4x4skx7Q6DhyLnmkUKvFs3XwTDoAkOcyaB2XgwqVyTP6DK5jn7FnZJuAfdiCHwddzmPnn4SDoS+WbQ8DvE7Q9wFTWAAyJZq34WWCc9StQYQD+dA6XmbwQWOijXnBz5Y0OlGYljkklbEoZ6woFN7wnuAXTbbLnjuf/AKLZ1Xy+WVUlO5Pi08B33+uw+2Iub5Lbxn4hRgA+TIp4GWwsGsTM+HJXYh16HyK2fTES+/gMsXMQwEvo+Q+ZJsREe20V/R78TLK1tTxiyIu0ym+7BakB03Yl1FReoDjc2HzpXLzZltXCPkyyvbiKMhXkhHHUULHns9NPj74EiqfHvx3qmNFT4/pD5RMJpFMJm2bYN26dUXT50p5mXLw4MExt3/mmWfw6KOPYvfu3ejr60M+n0djYyPuvvvuwOOZ6ZQzVvSN6qT75KPkWq7xNLXtEXoDkKY2wYkW/77PYrKTES91ik9hNkAvLLNZeX9znz3nFu/35nPmC1/Z95Yvo/hFeIHiJPeLuY9qe+nt5rm9ozLFyyhq99k3ydKX5nbao9n1OL7wPmz9YtE0ZYq/jALPyGebTS/Iz0m8jKK+Nj8jWIx8fX7PH/JllLVZD/noLsoooZkX2+SGX0bpc0U5mPEvo06ePAnXdcVsUq2trXjppZes22zduhWf+cxnxOfnve33k1FFRVEqiFOnTqGpqSl4RSKRSGDBggX4145/KnmbBQsWIJFIBK+oTDrljBUHflSdqSuKUk1MZayor6/Hueeea3y2ZcsW3HPPPaH3P56XKczWrVtHUvR27dqFF154oSpeRAHljRVXrTg5KXUsL0enuwKKMqPR54qJMeNfRo2HzZs3j0yZDgBdXV0477zz8Nprr43rYpoKenp6cO655+LIkSMVnfKj9SwvM6GeM6GOwOBI5eLFi9HS0hK8soVUKoXDhw8jlys9hSORSCCVSgWvqFQkMzFWADPjnpwJdQS0nuVmJtRzOmKF7/tiVtyxVFFBjOdlijIxNFZMHjOhjoDWs9zMhHrqc0V5mPEvo+bNmwfHcXD8+HHj8+PHj2PBggXWbcaSPjc1NVXsBT9MY2NjxdcR0HqWm5lQz5lQR2BwhHi8pFKpWRcEqoVqixXAzLgnZ0IdAa1nuZkJ9dRYMcgHP/jB6a7ClKKxojKZCXUEtJ7lZibUU2PFxJjxs+klEgksX74ce/fuHfnM8zzs3bsXq1atmsaaKYqiKJWCxgpFUaqB8bxMUd5AY4WiKMrUMeNfRgFAW1sbvvKVr+BrX/safvOb3+CjH/0o0un0iHGjoiiKomisUBRltqMvUyaOxgpFUZSpYcan6QHArbfeihMnTuDuu+9GR0cHli1bhj179oh8+bFIJpPYsmXLuPPzp4KZUEdA61luZkI9Z0IdgZlTT2XyqIZYAcyMes6EOgJaz3IzE+o5E+rY19eHV155ZWT58OHDOHjwIFpaWrB48WK0tbVh/fr1uPLKK7FixQps375dX6aEQGNF5TAT6ghoPcvNTKjnTKjjTCDiT3Q+QkVRFEVRFEVRpoSnnnoK1113nfh8/fr12LVrFwDgi1/8IrZt2zbyMuX+++/HypUrp7imiqIoijI2+jJKURRFURRFURRFURRFmTJmhWeUoiiKoiiKoiiKoiiKMjPQl1GKoiiKoiiKoiiKoijKlKEvoxRFURRFURRFURRFUZQpo+pfRu3YsQPnn38+UqkUVq5ciWeffXZa67Nv3z7ccMMNWLRoESKRCL7zne8Y3/u+j7vvvhsLFy5ETU0N1qxZg5dffnlK67h161ZcddVVaGhowPz583HjjTfi0KFDxjqZTAYbN27E3LlzUV9fj5tvvhnHjx+f0no++OCDuOKKK9DY2IjGxkasWrUKP/jBDyqqjjY+97nPIRKJ4M477xz5rBLqes899yASiRh/F198cUXVEQBef/11vP/978fcuXNRU1ODyy+/HM8999zI95VwDykzD40V42MmxAuNFeVFY4VSzWisGB8aKyYPjRUTR+PF5FHVL6Mee+wxtLW1YcuWLXj++eexdOlSrF27Fp2dndNWp3Q6jaVLl2LHjh3W7//X//pfuP/++7Fz507827/9G+rq6rB27VpkMpkpq+PTTz+NjRs34plnnsEPf/hD5PN5vOMd70A6nR5Z5xOf+AS+973vYffu3Xj66adx9OhR3HTTTVNWRwA455xz8LnPfQ7t7e147rnncP311+M973kPfv3rX1dMHZkDBw7gy1/+Mq644grj80qp66WXXopjx46N/P3rv/5rRdXxzJkzuOaaaxCPx/GDH/wAL774Ir7whS9gzpw5I+tUwj2kzCw0VoyfmRAvNFaUH40VSjWisWL8aKyYHDRWTByNF5OMX8WsWLHC37hx48iy67r+okWL/K1bt05jrd4AgP/444+PLHue5y9YsMDftm3byGddXV1+Mpn0v/nNb05DDQfp7Oz0AfhPP/30SJ3i8bi/e/fukXV+85vf+AD8/fv3T1c1fd/3/Tlz5vj/5//8n4qsY29vr/+Wt7zF/+EPf+j/2Z/9mX/HHXf4vl8553PLli3+0qVLrd9VSh0/9alP+X/yJ38y5veVeg8plY3GivIxU+KFxorxo7FCqVY0VpQPjRUTR2NFedB4MblUrTIql8uhvb0da9asGfksGo1izZo12L9//zTWbGwOHz6Mjo4Oo85NTU1YuXLltNa5u7sbANDS0gIAaG9vRz6fN+p58cUXY/HixdNWT9d18eijjyKdTmPVqlUVWceNGzfine98p1EnoLLO58svv4xFixbhwgsvxPve9z689tprFVXHf/zHf8SVV16JW265BfPnz8db3/pWfOUrXxn5vlLvIaVy0VhRXio9XmisKA8aK5RqQ2NFedFYMXE0VpQHjReTS9W+jDp58iRc10Vra6vxeWtrKzo6OqapVsUZrlcl1dnzPNx555245pprcNlllwEYrGcikUBzc7Ox7nTU81e/+hXq6+uRTCbxl3/5l3j88cexZMmSiqojADz66KN4/vnnsXXrVvFdpdR15cqV2LVrF/bs2YMHH3wQhw8fxp/+6Z+it7e3Yur4u9/9Dg8++CDe8pa34J//+Z/x0Y9+FB//+Mfxta99DUBl3kNKZaOxonxUcrzQWFE+NFYo1YjGivKhsWLiaKwoHxovJpfYdFdAmdls3LgRL7zwgpHjW0n80R/9EQ4ePIju7m58+9vfxvr16/H0009Pd7UMjhw5gjvuuAM//OEPkUqlprs6Y7Ju3bqR/7/iiiuwcuVKnHfeefjWt76FmpqaaazZG3iehyuvvBJ/93d/BwB461vfihdeeAE7d+7E+vXrp7l2ilLdVHK80FhRPjRWKIoyETRWTAyNFeVF48XkUrXKqHnz5sFxHOHKf/z4cSxYsGCaalWc4XpVSp03bdqE73//+/jxj3+Mc845Z+TzBQsWIJfLoaury1h/OuqZSCTw5je/GcuXL8fWrVuxdOlS/O///b8rqo7t7e3o7OzE2972NsRiMcRiMTz99NO4//77EYvF0NraWjF1HU1zczMuuugivPLKKxVzPhcuXIglS5YYn11yySUjst9Ku4eUykdjRXmo9HihsWLy0FihVAMaK8qDxoqJo7GivGi8mFyq9mVUIpHA8uXLsXfv3pHPPM/D3r17sWrVqmms2dhccMEFWLBggVHnnp4e/Nu//duU1tn3fWzatAmPP/44fvSjH+GCCy4wvl++fDni8bhRz0OHDuG1116b9nPreR6y2WxF1XH16tX41a9+hYMHD478XXnllXjf+9438v+VUtfR9PX14dVXX8XChQsr5nxec801Yirg3/72tzjvvPMAVM49pMwcNFZMjJkaLzRWlA+NFUo1oLFiYmisKB8aK8qLxotJZpoN1KeVRx991E8mk/6uXbv8F1980f/IRz7iNzc3+x0dHdNWp97eXv/nP/+5//Of/9wH4N97773+z3/+c/8Pf/iD7/u+/7nPfc5vbm72v/vd7/q//OUv/fe85z3+BRdc4A8MDExZHT/60Y/6TU1N/lNPPeUfO3Zs5K+/v39knb/8y7/0Fy9e7P/oRz/yn3vuOX/VqlX+qlWrpqyOvu/7d911l//000/7hw8f9n/5y1/6d911lx+JRPwnn3yyYuo4FqNnvfD9yqjrJz/5Sf+pp57yDx8+7P/0pz/116xZ48+bN8/v7OysmDo+++yzfiwW8z/72c/6L7/8sv+Nb3zDr62t9f/f//t/I+tUwj2kzCw0VoyfmRAvNFaUF40VSrWisWL8aKyYXDRWjB+NF5NLVb+M8n3ff+CBB/zFixf7iUTCX7Fihf/MM89Ma31+/OMf+wDE3/r1633fH5w+8tOf/rTf2trqJ5NJf/Xq1f6hQ4emtI62+gHwH3744ZF1BgYG/L/6q7/y58yZ49fW1vrvfe97/WPHjk1pPW+//Xb/vPPO8xOJhH/WWWf5q1evHgkYlVLHseCgUQl1vfXWW/2FCxf6iUTCP/vss/1bb73Vf+WVVyqqjr7v+9/73vf8yy67zE8mk/7FF1/s//3f/73xfSXcQ8rMQ2PF+JgJ8UJjRXnRWKFUMxorxofGislFY8XE0HgxeUR83/cnV3ulKIqiKIqiKIqiKIqiKINUrWeUoiiKoiiKoiiKoiiKMvXoyyhFURRFURRFURRFURRlytCXUYqiKIqiKIqiKIqiKMqUoS+jFEVRFEVRFEVRFEVRlClDX0YpiqIoiqIoiqIoiqIoU4a+jFIURVEURVEURVEURVGmDH0ZpSiKoiiKoiiKoiiKokwZ+jJKURRFURRFURRFURRFmTL0ZZQyq/nqV7+Kd7zjHZO6j507d+KGG26Y1H0oiqIok4fGCkVRFCUIjRWKUl4ivu/7010JRZkMMpkMLrzwQuzevRvXXHPNpO0nl8vhggsuwKOPPoo//dM/nbT9KIqiKOVHY4WiKIoShMYKRSk/qoxSZi3f/va30djYOKkBAwASiQT+/M//HPfff/+k7kdRFEUpPxorFEVRlCA0VihK+dGXUUrFc+LECSxYsAB/93d/N/LZz372MyQSCezdu3fM7R599FGrzPWhhx7CpZdeimQyiYULF2LTpk0j30UiEXz5y1/Gu971LtTW1uKSSy7B/v378corr+Daa69FXV0d/viP/xivvvqqUeYNN9yAf/zHf8TAwEAZjlhRFEUJi8YKRVEUJQiNFYpSQfiKMgN44okn/Hg87h84cMDv6enxL7zwQv8Tn/hE0W2ampr8Rx991PjsS1/6kp9Kpfzt27f7hw4d8p999ln/vvvuG/kegH/22Wf7jz32mH/o0CH/xhtv9M8//3z/+uuv9/fs2eO/+OKL/tVXX+3/h//wH4xy0+m0H41G/R//+MflOmRFURQlJBorFEVRlCA0VihKZaAvo5QZw1/91V/5F110kf/nf/7n/uWXX+5nMpkx1z1z5owPwN+3b5/x+aJFi/y/+Zu/GXM7AP5//+//fWR5//79PgD/q1/96shn3/zmN/1UKiW2nTNnjr9r164wh6QoiqKUGY0ViqIoShAaKxRl+tE0PWXG8PnPfx6FQgG7d+/GN77xDSSTyTHXHZa1plKpkc86Oztx9OhRrF69uuh+rrjiipH/b21tBQBcfvnlxmeZTAY9PT3GdjU1Nejv7y/9gBRFUZSyo7FCURRFCUJjhaJMP/oySpkxvPrqqzh69Cg8z8Pvf//7ouvOnTsXkUgEZ86cGfmspqampP3E4/GR/49EImN+5nmesd3p06dx1llnlbQPRVEUZXLQWKEoiqIEobFCUaYffRmlzAhyuRze//7349Zbb8X//J//Ex/+8IfR2dk55vqJRAJLlizBiy++OPJZQ0MDzj///KLmhOPl1VdfRSaTwVvf+tayl60oiqKUhsYKRVEUJQiNFYpSGejLKGVG8Dd/8zfo7u7G/fffj0996lO46KKLcPvttxfdZu3atfjXf/1X47N77rkHX/jCF3D//ffj5ZdfxvPPP48HHnhgwvX7yU9+ggsvvBBvetObJlyWoiiKMj40ViiKoihBaKxQlMpAX0YpFc9TTz2F7du34+tf/zoaGxsRjUbx9a9/HT/5yU/w4IMPjrndhz70IfzTP/0Turu7Rz5bv349tm/fji996Uu49NJL8a53vQsvv/zyhOv4zW9+Exs2bJhwOYqiKMr40FihKIqiBKGxQlEqh4jv+/50V0JRJotbbrkFb3vb27B58+ZJ28evf/1rXH/99fjtb3+LpqamSduPoiiKMjlorFAURVGC0FihKOVFlVHKrGbbtm2or6+f1H0cO3YM//f//l8NGIqiKDMUjRWKoihKEBorFKW8qDJKURRFURRFURRFURRFmTJUGaUoiqIoiqIoiqIoiqJMGfoySlEURVEURVEURVEURZky9GWUoiiKoiiKoiiKoiiKMmXoyyhFURRFURRFURRFURRlytCXUYqiKIqiKIqiKIqiKMqUoS+jFEVRFEVRFEVRFEVRlClDX0YpiqIoiqIoiqIoiqIoU4a+jFIURVEURVEURVEURVGmDH0ZpSiKoiiKoiiKoiiKokwZ/x/Bvw+ECwGc3QAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1200x600 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/tallies.py:1278: RuntimeWarning: invalid value encountered in divide\n",
+      "  data = self.std_dev[indices] / self.mean[indices]\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another MeshBase instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another WeightWindows instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_mesh_tally_and_weight_window(\"Problem_I/statepoint.20.0.h5\",\"Problem_I/weight_windows0.h5\", \"\")\n",
+    "plt.show()\n",
+    "plot_mesh_tally_and_weight_window(\"Problem_I/statepoint.20.5.h5\",\"Problem_I/weight_windows5.h5\", \"\")\n",
+    "plt.show()\n",
+    "plot_mesh_tally_and_weight_window(\"Problem_I/statepoint.20.9.h5\",\"Problem_I/weight_windows9.h5\", \"\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/tallies.py:1278: RuntimeWarning: invalid value encountered in divide\n",
+      "  data = self.std_dev[indices] / self.mean[indices]\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another MeshBase instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another WeightWindows instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/tallies.py:1278: RuntimeWarning: invalid value encountered in divide\n",
+      "  data = self.std_dev[indices] / self.mean[indices]\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another MeshBase instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another WeightWindows instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another MeshBase instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n",
+      "/home/vagrant/.pyenv/versions/3.9.15/envs/py3/lib/python3.9/site-packages/openmc/mixin.py:70: IDWarning: Another WeightWindows instance already exists with id=1.\n",
+      "  warn(msg, IDWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_mesh_tally_and_weight_window(\"Problem_II/statepoint.20.0.h5\",\"Problem_II/weight_windows0.h5\", \"\")\n",
+    "plt.show()\n",
+    "plot_mesh_tally_and_weight_window(\"Problem_II/statepoint.20.5.h5\",\"Problem_II/weight_windows5.h5\", \"\")\n",
+    "plt.show()\n",
+    "plot_mesh_tally_and_weight_window(\"Problem_II/statepoint.20.9.h5\",\"Problem_II/weight_windows9.h5\", \"\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[1] K. Kobayashi, N. Sugimura, Y. Nagaya. \"3D radiation transport benchmark problems and results for simple geometries with void region.\"\n",
+    "Progress in Nuclear Energy, 39:2 (2001) ,pp. 119-144,https://doi.org/10.1016/S0149-1970(01)00007-5.\n",
+    "[2] A. Davis, A. Turner. Application of novel global variance reduction methods to fusion radiation transport problems. M&C 2011: International conference on mathematics and computational methods applied to nuclear science and engineering, Brazil. "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
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+}
diff --git a/models/Kobayashi_Dogleg/results_database/Kobayashi_Dogleg_benchmark.h5 b/models/Kobayashi_Dogleg/results_database/Kobayashi_Dogleg_benchmark.h5
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diff --git a/models/Kobayashi_Dogleg/run_and_store.py b/models/Kobayashi_Dogleg/run_and_store.py
new file mode 100644
index 00000000..f1db111f
--- /dev/null
+++ b/models/Kobayashi_Dogleg/run_and_store.py
@@ -0,0 +1,123 @@
+#!/usr/bin/env python3
+import argparse
+import subprocess
+import openmc_fusion_benchmarks as ofb
+import helpers
+import numpy as np
+import h5py
+from pathlib import Path
+
+
+# ignore NaturalNameWarnings
+import warnings
+from tables import NaturalNameWarning
+warnings.filterwarnings('ignore', category=NaturalNameWarning)
+
+
+def _parse_args():
+    """Parse and return commandline arguments"""
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-t", "--when", type=str, default='n/a')
+    parser.add_argument("-w", "--where", type=str, default='n/a')
+    parser.add_argument("-x", "--xslib", type=str, default='mgxs')
+
+    args = parser.parse_args()
+
+    return args
+
+
+def main():
+    """Run the Kobayashi Dogleg simulation and store an hdf file in results_database/"""
+    args = _parse_args()
+    
+    # generate weight windows tallies
+    try:
+        p = subprocess.Popen(["python3", "openmc_model.py", "--Problem_I","--weight_windows"])
+    except:
+        p = subprocess.Popen(["python", "openmc_model.py", "--Problem_I","--weight_windows"])
+
+    # wait for the simulation to finish
+    p.wait()
+
+    # run simulation without scattering
+    try:
+        p = subprocess.Popen(["python3", "openmc_model.py", "--Problem_I"])
+    except:
+        p = subprocess.Popen(["python", "openmc_model.py", "--Problem_I"])
+
+    # wait for the simulation to finish
+    p.wait()
+
+    try:
+        p = subprocess.Popen(["python3", "openmc_model.py", "--weight_windows"])
+    except:
+        p = subprocess.Popen(["python", "openmc_model.py", "--weight_windows"])
+
+    # wait for the simulation to finish
+    p.wait()
+
+    # run simulation with scattering
+    try:
+        p = subprocess.Popen(["python3", "openmc_model.py"])
+    except:
+        p = subprocess.Popen(["python", "openmc_model.py"])
+
+    # wait for the simulation to finish
+    p.wait()
+    
+    print("Reading Statepoint file")
+    # read statepoint file
+    ProblemI_file = ofb.ResultsFromOpenmc('statepoint.20.h5', 'Problem_I')
+    # read statepoint file
+    ProblemII_file = ofb.ResultsFromOpenmc('statepoint.20.h5', 'Problem_II')
+
+    # openmc hdf file
+    filename = ofb.build_hdf_filename(
+        'openmc', ProblemII_file.get_openmc_version, 'mgxs')
+
+    # store case results
+    xaxis_name = "Sample Point"
+    #X-axis for case 3A
+    xaxis_list = [[str(x) for x in np.linspace(5,95,10)]]
+    #X-axis for case 3B
+    xaxis_list.append([str(x) for x in np.linspace(5,65,6)])
+    #X-axis for case 3C
+    xaxis_list.append([str(x) for x in np.linspace(5,65,6)])
+    
+    for i,case in enumerate(helpers.case_list):
+        print("Output to hdf ",case)
+        ProblemI_file.tally_to_hdf(tally_name="Problem_I_"+case,
+                                 normalize_over=helpers.detector_volume,
+                                 xs_library="mgxs", xaxis_name=xaxis_name,
+                                 xaxis_list=xaxis_list[i],
+                                 path_to_database='results_database',
+                                 when=args.when,
+                                 where=args.where)
+
+        ProblemII_file.tally_to_hdf(tally_name="Problem_II_"+case,
+                                 normalize_over=helpers.detector_volume,
+                                 xs_library="mgxs", xaxis_name=xaxis_name,
+                                 xaxis_list=xaxis_list[i],
+                                 path_to_database='results_database',
+                                 when=args.when,
+                                 where=args.where)
+
+
+        
+        path_to_file = Path('results_database') / filename
+        code_version = 'openmc-' + \
+            '.'.join(map(str, ProblemII_file.get_openmc_version))
+        
+        # write attributes to the hdf file
+        with h5py.File(path_to_file, 'a') as f:
+            f[case + '/table'].attrs['x_axis'] = xaxis_name
+            f.attrs['code_version'] = code_version
+            f.attrs['xs_library'] = args.xslib.strip().replace(' ', '')
+            f.attrs['batches'] = ProblemII_file.get_batches
+            f.attrs['particles_per_batch'] = ProblemII_file.get_particles_per_batch
+            f.attrs['when'] = args.when
+            f.attrs['where'] = args.where
+        
+        
+if __name__ == "__main__":
+    main()
diff --git a/src/openmc_fusion_benchmarks/read_results.py b/src/openmc_fusion_benchmarks/read_results.py
index 81d4d66f..c25465d9 100644
--- a/src/openmc_fusion_benchmarks/read_results.py
+++ b/src/openmc_fusion_benchmarks/read_results.py
@@ -411,10 +411,20 @@ def tally_to_hdf(self, tally_name: str, normalize_over: Iterable, xs_library: st
             if c in tally_df.columns:
                 tally_df = tally_df.drop(columns=c)
 
+                
         # add xaxis columns if required
         if xaxis_list is not None:
             tally_df.insert(loc=0, column=xaxis_name, value=xaxis_list)
 
+            if tally_df.columns.nlevels > 1:
+                #Case where the mesh voxel indices wind up in a multi-level
+                # column. Drop a level and then remove these new identically-named
+                # columsn.
+                tally_df.columns = tally_df.columns.droplevel(1)            
+                duplicate_cols = tally_df.columns[tally_df.columns.duplicated()]
+                tally_df.drop(columns=duplicate_cols, inplace=True)
+            
+            
         code_version = 'openmc-' + '.'.join(map(str, self.get_openmc_version))
 
         to_hdf(tally_df, hdf_file, tally_name, xs_library, xaxis_name,