From c6fd496ce5261f5d71b0c6b7ac089991c13d0500 Mon Sep 17 00:00:00 2001
From: Jacqueline Nugent <jnugent2@uwyo.edu>
Date: Wed, 12 Jun 2024 20:11:58 +0000
Subject: [PATCH 1/3] Initial commit of 1st draft of new ex notebook

---
 notebooks/ex-regrid-plot.ipynb | 3795 ++++++++++++++++++++++++++++++++
 1 file changed, 3795 insertions(+)
 create mode 100644 notebooks/ex-regrid-plot.ipynb

diff --git a/notebooks/ex-regrid-plot.ipynb b/notebooks/ex-regrid-plot.ipynb
new file mode 100644
index 0000000..5bedac2
--- /dev/null
+++ b/notebooks/ex-regrid-plot.ipynb
@@ -0,0 +1,3795 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "50b5d7e7-df4e-4992-a29b-8804b081a320",
+   "metadata": {},
+   "source": [
+    "# **DRAFT**\n",
+    "This is a work in progress :)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e07f3f93-5dc9-429a-b336-4a14d01ac78a",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from intake_esgf import ESGFCatalog\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da700ab5-47b3-4283-92a5-bf60213be07d",
+   "metadata": {},
+   "source": [
+    "##### Todo - make the search more elegant"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "379997ac-5da1-408a-9f57-9036a4e188a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cat = ESGFCatalog()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7cdb9bc7-1d01-4a02-a171-86b226b5c5f4",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### Get one model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "a580fe34-dcb6-4606-8683-0d00ab34c43d",
+   "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "55c7294b6da445d68b5fae22d9ac90d2",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "   Searching indices:   0%|          |0/2 [       ?index/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Summary information for 1 results:\n",
+      "grid_label                          [gn]\n",
+      "source_id                        [CESM2]\n",
+      "mip_era                          [CMIP6]\n",
+      "member_id                     [r1i1p1f1]\n",
+      "variable_id                         [pr]\n",
+      "datetime_stop     [2014-12-15T12:00:00Z]\n",
+      "table_id                          [Amon]\n",
+      "activity_drs                      [CMIP]\n",
+      "experiment_id               [historical]\n",
+      "datetime_start    [1850-01-15T12:00:00Z]\n",
+      "institution_id                    [NCAR]\n",
+      "project                          [CMIP6]\n",
+      "dtype: object\n"
+     ]
+    }
+   ],
+   "source": [
+    "cat.search(\n",
+    "    experiment_id=\"historical\",\n",
+    "    source_id=\"CESM2\",\n",
+    "    frequency=\"mon\",\n",
+    "    variable_id=\"pr\",\n",
+    "    member_id=\"r1i1p1f1\",\n",
+    ")\n",
+    "print(cat)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d22971ce-0594-4836-a364-b0abcdc47934",
+   "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "4f8fa3183e784290bd6007f25af0ebe9",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Get file information:   0%|          |0/2 [       ?index/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "pr_Amon_CESM2_historical_r1i1p1f1_gn_...:   0%|          |0.00/343M [?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "3b3b4391d01f48e2ac74bd1af63e9693",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Adding cell measures:   0%|          |0/1 [     ?dataset/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "areacella_fx_CESM2_historical_r1i1p1f...:   0%|          |0.00/43.8k [?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "dsd = cat.to_dataset_dict()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5489ad11-3c34-43ac-8e22-6c428dbff1bd",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### Get another"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "92402d46-25e5-40c8-a6a1-9cb36a79207c",
+   "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "cbf4cf6500aa46c980bb9b7e0db8d9fb",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "   Searching indices:   0%|          |0/2 [       ?index/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Summary information for 1 results:\n",
+      "grid_label                          [gr]\n",
+      "source_id                     [E3SM-1-0]\n",
+      "mip_era                          [CMIP6]\n",
+      "member_id                     [r6i2p2f1]\n",
+      "variable_id                         [pr]\n",
+      "table_id                          [Amon]\n",
+      "activity_drs                      [CMIP]\n",
+      "experiment_id               [historical]\n",
+      "datetime_start    [1850-01-16T00:00:00Z]\n",
+      "institution_id                    [UCSB]\n",
+      "project                          [CMIP6]\n",
+      "dtype: object\n"
+     ]
+    }
+   ],
+   "source": [
+    "cat.search(\n",
+    "    experiment_id=\"historical\",\n",
+    "    source_id=\"E3SM-1-0\",\n",
+    "    frequency=\"mon\",\n",
+    "    variable_id=\"pr\",\n",
+    "    member_id=\"r6i2p2f1\",\n",
+    ")\n",
+    "print(cat)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "398fd04a-d1e4-45ea-bd32-1da89c499a90",
+   "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "09167f14d6684e48bad54815094e888c",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Get file information:   0%|          |0/2 [       ?index/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "pr_Amon_E3SM-1-0_historical_r6i2p2f1_...:   0%|          |0.00/139M [?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "pr_Amon_E3SM-1-0_historical_r6i2p2f1_...:   0%|          |0.00/139M [?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "pr_Amon_E3SM-1-0_historical_r6i2p2f1_...:   0%|          |0.00/41.8M [?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "pr_Amon_E3SM-1-0_historical_r6i2p2f1_...:   0%|          |0.00/139M [?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "872fab3115cd419a82c83efcab7692af",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Adding cell measures:   0%|          |0/1 [     ?dataset/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "areacella_fx_E3SM-1-0_historical_r6i2...:   0%|          |0.00/50.1k [?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "dsd2 = cat.to_dataset_dict()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eaf817c4-8962-49ca-8825-b7293b5ec00f",
+   "metadata": {},
+   "source": [
+    "### Two models are on different grids"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "9ed09ae4-868e-475c-9036-a2ceb9ab20ef",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# first gets the dataset, second gets the variable/data array\n",
+    "# will be different if you have multiple variables... TODO!\n",
+    "pr1 = dsd[\"pr\"][\"pr\"]\n",
+    "pr2 = dsd2[\"pr\"][\"pr\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "65dee0b2-18a9-4670-bddf-29fb5f2980dd",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
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+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;lat&#x27; (lat: 192)&gt; Size: 2kB\n",
+       "array([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
+       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
+       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
+       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
+       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
+       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
+       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
+       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
+       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
+       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
+       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
+       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
+       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
+       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
+       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
+       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
+       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
+       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
+       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
+       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
+       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
+       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
+       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
+       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
+       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
+       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
+       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
+       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
+       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
+       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
+       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
+       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 2kB -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n",
+       "Attributes:\n",
+       "    axis:           Y\n",
+       "    bounds:         lat_bnds\n",
+       "    standard_name:  latitude\n",
+       "    title:          Latitude\n",
+       "    type:           double\n",
+       "    units:          degrees_north\n",
+       "    valid_max:      90.0\n",
+       "    valid_min:      -90.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lat'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-00d81c59-2769-43cb-8bf5-f8f4ff779eca' class='xr-array-in' type='checkbox' checked><label for='section-00d81c59-2769-43cb-8bf5-f8f4ff779eca' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-90.0 -89.06 -88.12 -87.17 -86.23 ... 86.23 87.17 88.12 89.06 90.0</span></div><div class='xr-array-data'><pre>array([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
+       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
+       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
+       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
+       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
+       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
+       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
+       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
+       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
+       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
+       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
+       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
+       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
+       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
+       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
+       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
+       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
+       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
+       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
+       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
+       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
+       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
+       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
+       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
+       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
+       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
+       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
+       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
+       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
+       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
+       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
+       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])</pre></div></div></li><li class='xr-section-item'><input id='section-5fd87604-4a03-4ce2-9a13-4fcd6fb63930' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5fd87604-4a03-4ce2-9a13-4fcd6fb63930' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.06 -88.12 ... 89.06 90.0</div><input id='attrs-ef62af59-324e-47f1-9683-0a71ba4ceafd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef62af59-324e-47f1-9683-0a71ba4ceafd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fce556f8-ffc4-4522-bcf3-307cb2f5d465' class='xr-var-data-in' type='checkbox'><label for='data-fce556f8-ffc4-4522-bcf3-307cb2f5d465' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>title :</span></dt><dd>Latitude</dd><dt><span>type :</span></dt><dd>double</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd></dl></div><div class='xr-var-data'><pre>array([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
+       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
+       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
+       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
+       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
+       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
+       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
+       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
+       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
+       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
+       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
+       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
+       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
+       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
+       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
+       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
+       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
+       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
+       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
+       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
+       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
+       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
+       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
+       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
+       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
+       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
+       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
+       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
+       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
+       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
+       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
+       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dbbbebda-cafa-4246-bd72-6acba14be9fc' class='xr-section-summary-in' type='checkbox'  ><label for='section-dbbbebda-cafa-4246-bd72-6acba14be9fc' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ef8555a8-6043-4d10-8d6e-e9cb37ebb100' class='xr-index-data-in' type='checkbox'/><label for='index-ef8555a8-6043-4d10-8d6e-e9cb37ebb100' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([             -90.0, -89.05759162303664,  -88.1151832460733,\n",
+       "       -87.17277486910994,  -86.2303664921466, -85.28795811518324,\n",
+       "        -84.3455497382199, -83.40314136125654, -82.46073298429319,\n",
+       "       -81.51832460732984,\n",
+       "       ...\n",
+       "        81.51832460732984,   82.4607329842932,  83.40314136125653,\n",
+       "        84.34554973821989,  85.28795811518324,   86.2303664921466,\n",
+       "        87.17277486910996,  88.11518324607329,  89.05759162303664,\n",
+       "                     90.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=192))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ea0202e-4bc0-4e49-a3cb-f62ac5acd741' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ea0202e-4bc0-4e49-a3cb-f62ac5acd741' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>title :</span></dt><dd>Latitude</dd><dt><span>type :</span></dt><dd>double</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'lat' (lat: 192)> Size: 2kB\n",
+       "array([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
+       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
+       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
+       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
+       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
+       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
+       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
+       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
+       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
+       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
+       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
+       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
+       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
+       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
+       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
+       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
+       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
+       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
+       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
+       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
+       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
+       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
+       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
+       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
+       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
+       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
+       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
+       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
+       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
+       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
+       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
+       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 2kB -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n",
+       "Attributes:\n",
+       "    axis:           Y\n",
+       "    bounds:         lat_bnds\n",
+       "    standard_name:  latitude\n",
+       "    title:          Latitude\n",
+       "    type:           double\n",
+       "    units:          degrees_north\n",
+       "    valid_max:      90.0\n",
+       "    valid_min:      -90.0"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pr1.lat"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "23bf623f-2f8f-4fba-80e3-d56a8c2621dd",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
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+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;lat&#x27; (lat: 180)&gt; Size: 1kB\n",
+       "array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
+       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
+       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
+       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
+       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
+       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
+       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
+       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
+       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
+       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
+       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
+       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
+       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
+       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
+       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
+       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "Attributes:\n",
+       "    bounds:         lat_bnds\n",
+       "    units:          degrees_north\n",
+       "    axis:           Y\n",
+       "    long_name:      Latitude\n",
+       "    standard_name:  latitude</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lat'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-48e7768a-f8f9-476f-bff5-0b26a059bad6' class='xr-array-in' type='checkbox' checked><label for='section-48e7768a-f8f9-476f-bff5-0b26a059bad6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-89.5 -88.5 -87.5 -86.5 -85.5 -84.5 ... 84.5 85.5 86.5 87.5 88.5 89.5</span></div><div class='xr-array-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
+       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
+       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
+       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
+       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
+       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
+       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
+       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
+       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
+       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
+       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
+       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
+       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
+       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
+       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
+       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></div></li><li class='xr-section-item'><input id='section-ac42d0c1-493f-43f1-acf9-b2366c749662' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ac42d0c1-493f-43f1-acf9-b2366c749662' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-e44fa95d-10f9-4a98-a5f6-b27265b6a171' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e44fa95d-10f9-4a98-a5f6-b27265b6a171' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bbe22b4-74d9-4cb7-8253-a25c70786e6f' class='xr-var-data-in' type='checkbox'><label for='data-0bbe22b4-74d9-4cb7-8253-a25c70786e6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
+       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
+       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
+       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
+       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
+       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
+       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
+       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
+       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
+       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
+       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
+       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
+       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
+       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
+       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
+       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db85e4ed-f809-4e89-aef4-27400571a5a7' class='xr-section-summary-in' type='checkbox'  ><label for='section-db85e4ed-f809-4e89-aef4-27400571a5a7' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-56cda434-1e8d-412e-bc16-c6ca67e7323f' class='xr-index-data-in' type='checkbox'/><label for='index-56cda434-1e8d-412e-bc16-c6ca67e7323f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       ...\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66a78b8d-311c-49c1-bd8a-2ed0d92bbb71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66a78b8d-311c-49c1-bd8a-2ed0d92bbb71' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'lat' (lat: 180)> Size: 1kB\n",
+       "array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
+       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
+       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
+       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
+       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
+       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
+       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
+       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
+       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
+       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
+       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
+       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
+       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
+       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
+       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
+       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "Attributes:\n",
+       "    bounds:         lat_bnds\n",
+       "    units:          degrees_north\n",
+       "    axis:           Y\n",
+       "    long_name:      Latitude\n",
+       "    standard_name:  latitude"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pr2.lat"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d5413965-e337-4410-bb67-756689da7c0e",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Starting plot - no regridding"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "f8fac83b-50e2-4036-839b-bb0c3556d2e8",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# import xarray as xr\n",
+    "# import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.patches as mpatches\n",
+    "import matplotlib.colors as mcolors\n",
+    "import cartopy.crs as ccrs\n",
+    "import cartopy.feature as cfeature\n",
+    "\n",
+    "from matplotlib.gridspec import GridSpec\n",
+    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "id": "97055388-90d1-4e51-ba10-ea46b3fd297d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# also harcoded...\n",
+    "figsize = (6, 2)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "id": "70e1bbdd-63a7-44c7-bbd4-8e8812e0abe9",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Harcoded colorbar limits - make better!\n",
+    "vmin=1e-8\n",
+    "vmax=5e-4\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 108,
+   "id": "7e111bc5-42cd-4d3a-b7f4-8df3479e0e9c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# pick some time step just so you have 2D data\n",
+    "# TODO - average!\n",
+    "pr1t = pr1.isel(time=3)\n",
+    "pr2t = pr2.isel(time=3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e9e4fd2-7804-4f28-83cc-3178463f0127",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "### TODO - Mollweide or Robinson?\n",
+    "need to troubleshoot that"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "id": "86ab0c4a-ce76-48ab-843d-e79333bdd58c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 600x200 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# set up figure\n",
+    "fig = plt.figure(figsize=figsize)\n",
+    "gs = GridSpec(2, 2, height_ratios=[1, 0.1], hspace=0.2)#, wspace=0.5)\n",
+    "\n",
+    "# specify the projection\n",
+    "proj = ccrs.PlateCarree()\n",
+    "\n",
+    "# set up plots for each model\n",
+    "ax1 = plt.subplot(gs[0, 0], projection=proj)\n",
+    "ax2 = plt.subplot(gs[0, 1], projection=proj)\n",
+    "ax1.set_global()\n",
+    "ax2.set_global()\n",
+    "\n",
+    "# axis where the colorbar will go\n",
+    "ax_cb = plt.subplot(gs[1, :]) \n",
+    "ax_cb.axis(\"off\")\n",
+    "\n",
+    "# plot on the axes\n",
+    "pcm1 = ax1.pcolormesh(pr1t.lon, pr1t.lat, pr1t, norm=mcolors.LogNorm(vmin=vmin, vmax=vmax),\n",
+    "                     transform=proj)\n",
+    "pcm2 = ax2.pcolormesh(pr2t.lon, pr2t.lat, pr2t, norm=mcolors.LogNorm(vmin=vmin, vmax=vmax), \n",
+    "                     transform=proj)\n",
+    "\n",
+    "# add coastlines \n",
+    "ax1.add_feature(cfeature.COASTLINE)\n",
+    "ax2.add_feature(cfeature.COASTLINE)\n",
+    "\n",
+    "\n",
+    "\n",
+    "# since the colormap/scale is the same, we can use either pcolormesh to \n",
+    "# set the colorbar\n",
+    "ax_cb_ins = inset_axes(ax_cb, width=\"50%\", height=\"100%\", loc=\"center\")\n",
+    "cbar = plt.colorbar(pcm1, cax=ax_cb_ins, orientation=\"horizontal\")\n",
+    "    \n",
+    "\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f63dfd8d-5e22-448b-874c-3994ecdf1e98",
+   "metadata": {},
+   "source": [
+    "### Try to find the difference in precip between the models"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "id": "a3f7d020-a705-4729-abaa-05103e005567",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "pr_diff = pr1t - pr2t"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5866f39-481b-4287-9acb-c818913f5eba",
+   "metadata": {},
+   "source": [
+    "No y dimension because the grids have different latitudes!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "id": "1ddadb78-772b-449e-9345-cf9b62e37cf3",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 0, lon: 72)&gt; Size: 0B\n",
+       "dask.array&lt;subtract, shape=(0, 72), dtype=float32, chunksize=(0, 72), chunktype=numpy.ndarray&gt;\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 0B \n",
+       "  * lon      (lon) float64 576B 2.5 7.5 12.5 17.5 ... 342.5 347.5 352.5 357.5</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 0</li><li><span class='xr-has-index'>lon</span>: 72</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a501b0f1-0d45-44f5-be5d-73aa7c2af24d' class='xr-array-in' type='checkbox' checked><label for='section-a501b0f1-0d45-44f5-be5d-73aa7c2af24d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(0, 72), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 0 B </td>\n",
+       "                        <td> 0 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (0, 72) </td>\n",
+       "                        <td> (0, 72) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 14 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        \n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-e4295f62-7566-40fa-a59e-09f6ebc7176e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4295f62-7566-40fa-a59e-09f6ebc7176e' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'></div><input id='attrs-e925370b-30e4-48e3-9bcf-4002cb15fec5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e925370b-30e4-48e3-9bcf-4002cb15fec5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26417f97-e722-40e6-9520-dce70c07bba2' class='xr-var-data-in' type='checkbox'><label for='data-26417f97-e722-40e6-9520-dce70c07bba2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>title :</span></dt><dd>Latitude</dd><dt><span>type :</span></dt><dd>double</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd></dl></div><div class='xr-var-data'><pre>array([], dtype=float64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5 7.5 12.5 ... 347.5 352.5 357.5</div><input id='attrs-9cf587cd-6fee-48b3-b683-25fb0b3f0163' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cf587cd-6fee-48b3-b683-25fb0b3f0163' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c38e2f0-6b3b-4e07-aa6d-ea87b348df57' class='xr-var-data-in' type='checkbox'><label for='data-9c38e2f0-6b3b-4e07-aa6d-ea87b348df57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>title :</span></dt><dd>Longitude</dd><dt><span>type :</span></dt><dd>double</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>360.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([  2.5,   7.5,  12.5,  17.5,  22.5,  27.5,  32.5,  37.5,  42.5,  47.5,\n",
+       "        52.5,  57.5,  62.5,  67.5,  72.5,  77.5,  82.5,  87.5,  92.5,  97.5,\n",
+       "       102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5,\n",
+       "       152.5, 157.5, 162.5, 167.5, 172.5, 177.5, 182.5, 187.5, 192.5, 197.5,\n",
+       "       202.5, 207.5, 212.5, 217.5, 222.5, 227.5, 232.5, 237.5, 242.5, 247.5,\n",
+       "       252.5, 257.5, 262.5, 267.5, 272.5, 277.5, 282.5, 287.5, 292.5, 297.5,\n",
+       "       302.5, 307.5, 312.5, 317.5, 322.5, 327.5, 332.5, 337.5, 342.5, 347.5,\n",
+       "       352.5, 357.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-41feae7f-3f26-4df5-a5d2-a859bb7c3961' class='xr-section-summary-in' type='checkbox'  ><label for='section-41feae7f-3f26-4df5-a5d2-a859bb7c3961' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-de434c4a-0206-4e35-b2aa-68ccec8727e6' class='xr-index-data-in' type='checkbox'/><label for='index-de434c4a-0206-4e35-b2aa-68ccec8727e6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([], dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b1fada1f-48c6-4871-b3dc-cbbfbd5f7b83' class='xr-index-data-in' type='checkbox'/><label for='index-b1fada1f-48c6-4871-b3dc-cbbfbd5f7b83' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  2.5,   7.5,  12.5,  17.5,  22.5,  27.5,  32.5,  37.5,  42.5,  47.5,\n",
+       "        52.5,  57.5,  62.5,  67.5,  72.5,  77.5,  82.5,  87.5,  92.5,  97.5,\n",
+       "       102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5,\n",
+       "       152.5, 157.5, 162.5, 167.5, 172.5, 177.5, 182.5, 187.5, 192.5, 197.5,\n",
+       "       202.5, 207.5, 212.5, 217.5, 222.5, 227.5, 232.5, 237.5, 242.5, 247.5,\n",
+       "       252.5, 257.5, 262.5, 267.5, 272.5, 277.5, 282.5, 287.5, 292.5, 297.5,\n",
+       "       302.5, 307.5, 312.5, 317.5, 322.5, 327.5, 332.5, 337.5, 342.5, 347.5,\n",
+       "       352.5, 357.5],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-29a44947-e558-4312-bdc5-e35735c7c287' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-29a44947-e558-4312-bdc5-e35735c7c287' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'pr' (lat: 0, lon: 72)> Size: 0B\n",
+       "dask.array<subtract, shape=(0, 72), dtype=float32, chunksize=(0, 72), chunktype=numpy.ndarray>\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 0B \n",
+       "  * lon      (lon) float64 576B 2.5 7.5 12.5 17.5 ... 342.5 347.5 352.5 357.5"
+      ]
+     },
+     "execution_count": 143,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pr_diff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dfc3c800-984d-40a5-a492-a3b2f1003491",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "38ae8179-67f8-4146-a047-300ba9965d91",
+   "metadata": {},
+   "source": [
+    "## Try regridding\n",
+    "See docs here: https://github.com/roocs/rooki/blob/master/notebooks/demo/demo-rooki-regrid-cmip6.ipynb"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "eafdef10-a4c2-4265-8df8-6a208aa43000",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.environ['ROOK_URL'] = 'http://rook.dkrz.de/wps'\n",
+    "\n",
+    "from rooki import rooki\n",
+    "from rooki import operators as ops\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d4cc8767-09b6-4d13-b614-e36bc8202752",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "View available grid types/regrid methods:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "03b9e64d-dcb2-49d6-b622-9f5ce2164d8a",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\u001b[0;31mSignature:\u001b[0m \u001b[0mrooki\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregrid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcollection\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'nearest_s2d'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrid\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'auto'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+       "\u001b[0;31mDocstring:\u001b[0m\n",
+       "Run regridding operator on climate model data using daops (xarray).\n",
+       "\n",
+       "Parameters\n",
+       "----------\n",
+       "collection : string\n",
+       "    A dataset identifier or list of comma separated identifiers. Example: c3s-cmip5.output1.ICHEC.EC-EARTH.historical.day.atmos.day.r1i1p1.tas.latest\n",
+       "method : {'nearest_s2d', 'bilinear', 'conservative', 'patch'}string\n",
+       "    Please specify regridding method like consevative or bilinear. Default: nearest_s2d\n",
+       "grid : {'auto', '0pt25deg', '0pt25deg_era5', '0pt5deg_lsm', '0pt625x0pt5deg', '0pt75deg', '1deg', '1pt25deg', '2pt5deg'}string\n",
+       "    Please specify output grid resolution for regridding. Default: auto\n",
+       "\n",
+       "Returns\n",
+       "-------\n",
+       "output : ComplexData:mimetype:`application/metalink+xml; version=4.0`\n",
+       "    Metalink v4 document with references to NetCDF files.\n",
+       "prov : ComplexData:mimetype:`application/json`\n",
+       "    Provenance document using W3C standard.\n",
+       "prov_plot : ComplexData:mimetype:`image/png`\n",
+       "    Provenance document as diagram.\n",
+       "\u001b[0;31mFile:\u001b[0m      ~/esgf-cookbook/notebooks/</srv/conda/envs/notebook/lib/python3.10/site-packages/birdy/client/base.py-8>\n",
+       "\u001b[0;31mType:\u001b[0m      method"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "rooki.regrid?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f666385e-a021-45e2-8b8a-6092b6c2c541",
+   "metadata": {},
+   "source": [
+    "### Compare 1 degree to 2.5 degrees\n",
+    "#### TODO - extract/search for what the input name should be?\n",
+    "##### Use conservative method here (not nearest neighbors) bc changing the resolution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "5ac22bed-bef0-4f47-8699-afd50d3b0f6e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "tas = ops.Input(\n",
+    "    'tas', ['c3s-cmip6.ScenarioMIP.INM.INM-CM5-0.ssp245.r1i1p1f1.day.tas.gr1.v20190619']\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "b9054b55-07be-482f-8287-289a399d751f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading to /tmp/metalink_uajgyg7n/tas_day_INM-CM5-0_ssp245_r1i1p1f1_gr1_20160101-20161231.nc.\n"
+     ]
+    },
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+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 32MB\n",
+       "Dimensions:    (time: 365, bnds: 2, lat: 120, lon: 180)\n",
+       "Coordinates:\n",
+       "  * time       (time) object 3kB 2016-01-01 12:00:00 ... 2016-12-31 12:00:00\n",
+       "  * lat        (lat) float64 960B -89.25 -87.75 -86.25 ... 86.25 87.75 89.25\n",
+       "  * lon        (lon) float64 1kB 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n",
+       "    height     float64 8B ...\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) object 6kB ...\n",
+       "    lat_bnds   (lat, bnds) float64 2kB ...\n",
+       "    lon_bnds   (lon, bnds) float64 3kB ...\n",
+       "    tas        (time, lat, lon) float32 32MB ...\n",
+       "Attributes: (12/47)\n",
+       "    Conventions:            CF-1.7 CMIP-6.2\n",
+       "    activity_id:            ScenarioMIP\n",
+       "    branch_method:          standard\n",
+       "    branch_time_in_child:   60225.0\n",
+       "    branch_time_in_parent:  60225.0\n",
+       "    contact:                Evgeny Volodin (volodinev@gmail.com)\n",
+       "    ...                     ...\n",
+       "    title:                  INM-CM5-0 output prepared for CMIP6\n",
+       "    tracking_id:            hdl:21.14100/89cab4a2-c867-4bb5-a215-622f969cd844\n",
+       "    variable_id:            tas\n",
+       "    variant_label:          r1i1p1f1\n",
+       "    license:                CMIP6 model data produced by Lawrence Livermore P...\n",
+       "    cmor_version:           3.4.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-59dd74b1-05b1-46da-a1eb-0190c16531d9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59dd74b1-05b1-46da-a1eb-0190c16531d9' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 365</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 120</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3514f78f-49aa-4ed0-89ac-a77a498a8e73' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3514f78f-49aa-4ed0-89ac-a77a498a8e73' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2016-01-01 12:00:00 ... 2016-12-...</div><input id='attrs-665ffca5-de7f-4c4d-aeea-e76a6a08a5a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-665ffca5-de7f-4c4d-aeea-e76a6a08a5a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b8a0f07-e943-45e5-9fe3-a94f911bddd3' class='xr-var-data-in' type='checkbox'><label for='data-3b8a0f07-e943-45e5-9fe3-a94f911bddd3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2016, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2016, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2016, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
+       "       cftime.DatetimeNoLeap(2016, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2016, 12, 30, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2016, 12, 31, 12, 0, 0, 0, has_year_zero=True)],\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.25 -87.75 ... 87.75 89.25</div><input id='attrs-ec914530-0979-439c-a1bc-a802b7232a1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec914530-0979-439c-a1bc-a802b7232a1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6194361b-0319-4a83-b69c-c972f126c448' class='xr-var-data-in' type='checkbox'><label for='data-6194361b-0319-4a83-b69c-c972f126c448' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.25, -87.75, -86.25, -84.75, -83.25, -81.75, -80.25, -78.75, -77.25,\n",
+       "       -75.75, -74.25, -72.75, -71.25, -69.75, -68.25, -66.75, -65.25, -63.75,\n",
+       "       -62.25, -60.75, -59.25, -57.75, -56.25, -54.75, -53.25, -51.75, -50.25,\n",
+       "       -48.75, -47.25, -45.75, -44.25, -42.75, -41.25, -39.75, -38.25, -36.75,\n",
+       "       -35.25, -33.75, -32.25, -30.75, -29.25, -27.75, -26.25, -24.75, -23.25,\n",
+       "       -21.75, -20.25, -18.75, -17.25, -15.75, -14.25, -12.75, -11.25,  -9.75,\n",
+       "        -8.25,  -6.75,  -5.25,  -3.75,  -2.25,  -0.75,   0.75,   2.25,   3.75,\n",
+       "         5.25,   6.75,   8.25,   9.75,  11.25,  12.75,  14.25,  15.75,  17.25,\n",
+       "        18.75,  20.25,  21.75,  23.25,  24.75,  26.25,  27.75,  29.25,  30.75,\n",
+       "        32.25,  33.75,  35.25,  36.75,  38.25,  39.75,  41.25,  42.75,  44.25,\n",
+       "        45.75,  47.25,  48.75,  50.25,  51.75,  53.25,  54.75,  56.25,  57.75,\n",
+       "        59.25,  60.75,  62.25,  63.75,  65.25,  66.75,  68.25,  69.75,  71.25,\n",
+       "        72.75,  74.25,  75.75,  77.25,  78.75,  80.25,  81.75,  83.25,  84.75,\n",
+       "        86.25,  87.75,  89.25])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-a196d3e7-e7c4-4c59-8a9c-ac0760956b45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a196d3e7-e7c4-4c59-8a9c-ac0760956b45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2110392-04a3-4cf5-8ae8-f1f9651dc9bc' class='xr-var-data-in' type='checkbox'><label for='data-c2110392-04a3-4cf5-8ae8-f1f9651dc9bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,\n",
+       "        24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,\n",
+       "        48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,\n",
+       "        72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,\n",
+       "        96.,  98., 100., 102., 104., 106., 108., 110., 112., 114., 116., 118.,\n",
+       "       120., 122., 124., 126., 128., 130., 132., 134., 136., 138., 140., 142.,\n",
+       "       144., 146., 148., 150., 152., 154., 156., 158., 160., 162., 164., 166.,\n",
+       "       168., 170., 172., 174., 176., 178., 180., 182., 184., 186., 188., 190.,\n",
+       "       192., 194., 196., 198., 200., 202., 204., 206., 208., 210., 212., 214.,\n",
+       "       216., 218., 220., 222., 224., 226., 228., 230., 232., 234., 236., 238.,\n",
+       "       240., 242., 244., 246., 248., 250., 252., 254., 256., 258., 260., 262.,\n",
+       "       264., 266., 268., 270., 272., 274., 276., 278., 280., 282., 284., 286.,\n",
+       "       288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,\n",
+       "       312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,\n",
+       "       336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-41a6c534-f540-4c6b-8a2d-c933a2b19aee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41a6c534-f540-4c6b-8a2d-c933a2b19aee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3326a098-3564-44cf-84e8-af79579b75f3' class='xr-var-data-in' type='checkbox'><label for='data-3326a098-3564-44cf-84e8-af79579b75f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-451ebdfd-9573-43d7-8b0a-1004aeacdff5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-451ebdfd-9573-43d7-8b0a-1004aeacdff5' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2265626-0877-4d0c-a165-b424d8bfa18c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2265626-0877-4d0c-a165-b424d8bfa18c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05983b02-b787-4714-987b-956b9849346d' class='xr-var-data-in' type='checkbox'><label for='data-05983b02-b787-4714-987b-956b9849346d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[730 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e146eaab-2a3d-4c20-967e-bbfbd549962a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e146eaab-2a3d-4c20-967e-bbfbd549962a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eda0353-b04d-4df4-8540-22974ba7f6bf' class='xr-var-data-in' type='checkbox'><label for='data-0eda0353-b04d-4df4-8540-22974ba7f6bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[240 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b5463cb9-58dc-4202-8bf3-828f102c4009' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5463cb9-58dc-4202-8bf3-828f102c4009' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2442ade-96b1-49cd-b76a-d880bea8f6d0' class='xr-var-data-in' type='checkbox'><label for='data-d2442ade-96b1-49cd-b76a-d880bea8f6d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[360 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e961e54d-9c87-40e5-a699-0deb491df8d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e961e54d-9c87-40e5-a699-0deb491df8d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df70cd47-12d5-4177-be01-7a724f8c3dec' class='xr-var-data-in' type='checkbox'><label for='data-df70cd47-12d5-4177-be01-7a724f8c3dec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>comment :</span></dt><dd>near-surface (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>tas</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean (interval: 1 day)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-06-18T15:27:32Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd></dl></div><div class='xr-var-data'><pre>[7884000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-32d4485c-5431-4e76-a94a-cec3e0208d82' class='xr-section-summary-in' type='checkbox'  ><label for='section-32d4485c-5431-4e76-a94a-cec3e0208d82' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1b4e2889-aba7-438a-b310-a8ce5cbf2944' class='xr-index-data-in' type='checkbox'/><label for='index-1b4e2889-aba7-438a-b310-a8ce5cbf2944' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([2016-01-01 12:00:00, 2016-01-02 12:00:00, 2016-01-03 12:00:00,\n",
+       "             2016-01-04 12:00:00, 2016-01-05 12:00:00, 2016-01-06 12:00:00,\n",
+       "             2016-01-07 12:00:00, 2016-01-08 12:00:00, 2016-01-09 12:00:00,\n",
+       "             2016-01-10 12:00:00,\n",
+       "             ...\n",
+       "             2016-12-22 12:00:00, 2016-12-23 12:00:00, 2016-12-24 12:00:00,\n",
+       "             2016-12-25 12:00:00, 2016-12-26 12:00:00, 2016-12-27 12:00:00,\n",
+       "             2016-12-28 12:00:00, 2016-12-29 12:00:00, 2016-12-30 12:00:00,\n",
+       "             2016-12-31 12:00:00],\n",
+       "            dtype=&#x27;object&#x27;, length=365, calendar=&#x27;noleap&#x27;, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-45c609a1-11c4-420e-8b86-cf7ace4124ce' class='xr-index-data-in' type='checkbox'/><label for='index-45c609a1-11c4-420e-8b86-cf7ace4124ce' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.25, -87.75, -86.25, -84.75, -83.25, -81.75, -80.25, -78.75, -77.25,\n",
+       "       -75.75,\n",
+       "       ...\n",
+       "        75.75,  77.25,  78.75,  80.25,  81.75,  83.25,  84.75,  86.25,  87.75,\n",
+       "        89.25],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=120))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7c6c0420-7662-4c8b-a192-735f6c6c54ec' class='xr-index-data-in' type='checkbox'/><label for='index-7c6c0420-7662-4c8b-a192-735f6c6c54ec' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,\n",
+       "       ...\n",
+       "       340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8fb2b93d-7aec-4b4a-aa3d-219597f0df5e' class='xr-section-summary-in' type='checkbox'  ><label for='section-8fb2b93d-7aec-4b4a-aa3d-219597f0df5e' class='xr-section-summary' >Attributes: <span>(47)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>60225.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60225.0</dd><dt><span>contact :</span></dt><dd>Evgeny Volodin (volodinev@gmail.com)</dd><dt><span>creation_date :</span></dt><dd>2019-06-18T15:27:34Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>update of RCP4.5 based on SSP2</dd><dt><span>experiment_id :</span></dt><dd>ssp245</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.INM.INM-CM5-0.ssp245.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>gs2x1.5</dd><dt><span>grid_label :</span></dt><dd>gr1</dd><dt><span>history :</span></dt><dd>2019-06-18T15:27:33Z ;rewrote data to be consistent with ScenarioMIP for variable clt found in table day.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Institute for Numerical Mathematics, Russian Academy of Science, Moscow 119991, Russia</dd><dt><span>institution_id :</span></dt><dd>INM</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>INM-CM5-0</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>RJNAMM 2018, 367-374. DOI: 10.1515/rnam-2018-0032</dd><dt><span>run_variant :</span></dt><dd>standard</dd><dt><span>source :</span></dt><dd>INM-CM5-0 (2016): \n",
+       "aerosol: INM-AER1\n",
+       "atmos: INM-AM5-0 (2x1.5; 180 x 120 longitude/latitude; 73 levels; top level sigma = 0.0002)\n",
+       "atmosChem: none\n",
+       "land: INM-LND1\n",
+       "landIce: none\n",
+       "ocean: INM-OM5 (North Pole shifted to 60N, 90E. 0.5x0.25; 720 x 720 longitude/latitude; 40 levels; vertical sigma coordinate)\n",
+       "ocnBgchem: none\n",
+       "seaIce: INM-ICE1</dd><dt><span>source_id :</span></dt><dd>INM-CM5-0</dd><dt><span>source_type :</span></dt><dd>AOGCM AER</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>day</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 February 2019) MD5:951084b632bd52c3f6224e495b1cb65e</dd><dt><span>title :</span></dt><dd>INM-CM5-0 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/89cab4a2-c867-4bb5-a215-622f969cd844</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by Lawrence Livermore PCMDI is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 32MB\n",
+       "Dimensions:    (time: 365, bnds: 2, lat: 120, lon: 180)\n",
+       "Coordinates:\n",
+       "  * time       (time) object 3kB 2016-01-01 12:00:00 ... 2016-12-31 12:00:00\n",
+       "  * lat        (lat) float64 960B -89.25 -87.75 -86.25 ... 86.25 87.75 89.25\n",
+       "  * lon        (lon) float64 1kB 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n",
+       "    height     float64 8B ...\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    time_bnds  (time, bnds) object 6kB ...\n",
+       "    lat_bnds   (lat, bnds) float64 2kB ...\n",
+       "    lon_bnds   (lon, bnds) float64 3kB ...\n",
+       "    tas        (time, lat, lon) float32 32MB ...\n",
+       "Attributes: (12/47)\n",
+       "    Conventions:            CF-1.7 CMIP-6.2\n",
+       "    activity_id:            ScenarioMIP\n",
+       "    branch_method:          standard\n",
+       "    branch_time_in_child:   60225.0\n",
+       "    branch_time_in_parent:  60225.0\n",
+       "    contact:                Evgeny Volodin (volodinev@gmail.com)\n",
+       "    ...                     ...\n",
+       "    title:                  INM-CM5-0 output prepared for CMIP6\n",
+       "    tracking_id:            hdl:21.14100/89cab4a2-c867-4bb5-a215-622f969cd844\n",
+       "    variable_id:            tas\n",
+       "    variant_label:          r1i1p1f1\n",
+       "    license:                CMIP6 model data produced by Lawrence Livermore P...\n",
+       "    cmor_version:           3.4.0"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# NO regrid\n",
+    "wf = ops.Subset(tas, time=\"2016/2016\")\n",
+    "\n",
+    "resp = wf.orchestrate()\n",
+    "resp.ok\n",
+    "\n",
+    "ds_g = resp.datasets()[0]\n",
+    "ds_g\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "5cd67a7f-34e3-43a5-aa65-d49796d8548d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading to /tmp/metalink_mxgvwncd/tas_day_INM-CM5-0_ssp245_r1i1p1f1_gr_20160101-20161231_regrid-conservative-72x144_cells_grid.nc.\n"
+     ]
+    },
+    {
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+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 15MB\n",
+       "Dimensions:    (lat: 72, lon: 144, bnds: 2, time: 365)\n",
+       "Coordinates:\n",
+       "  * lat        (lat) float64 576B -88.75 -86.25 -83.75 ... 83.75 86.25 88.75\n",
+       "  * lon        (lon) float64 1kB 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
+       "    lat_bnds   (lat, bnds) float64 1kB ...\n",
+       "    lon_bnds   (lon, bnds) float64 2kB ...\n",
+       "  * time       (time) object 3kB 2016-01-01 12:00:00 ... 2016-12-31 12:00:00\n",
+       "    height     float64 8B ...\n",
+       "    time_bnds  (time, bnds) object 6kB ...\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    tas        (time, lat, lon) float32 15MB ...\n",
+       "Attributes: (12/52)\n",
+       "    Conventions:                  CF-1.7 CMIP-6.2\n",
+       "    activity_id:                  ScenarioMIP\n",
+       "    branch_method:                standard\n",
+       "    branch_time_in_child:         60225.0\n",
+       "    branch_time_in_parent:        60225.0\n",
+       "    contact:                      Evgeny Volodin (volodinev@gmail.com)\n",
+       "    ...                           ...\n",
+       "    grid_original:                gs2x1.5\n",
+       "    grid_label_original:          gr1\n",
+       "    nominal_resolution_original:  100 km\n",
+       "    regrid_operation:             conservative_120x180_72x144\n",
+       "    regrid_tool:                  xESMF_v0.8.2\n",
+       "    regrid_weights_uid:           046d352045d899caf55bd49408cff1e6_d4ebf55323...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e43a119f-d790-4ad1-8dcc-fa5eed4157de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e43a119f-d790-4ad1-8dcc-fa5eed4157de' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 72</li><li><span class='xr-has-index'>lon</span>: 144</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 365</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f890d667-acdd-47a3-8e52-cb402be4a010' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f890d667-acdd-47a3-8e52-cb402be4a010' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.75 -86.25 ... 86.25 88.75</div><input id='attrs-d57258e3-78ec-4d41-acc1-8fe9f9d07cfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d57258e3-78ec-4d41-acc1-8fe9f9d07cfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1819c6f-3501-4b78-8025-1c0e0a92da97' class='xr-var-data-in' type='checkbox'><label for='data-f1819c6f-3501-4b78-8025-1c0e0a92da97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-88.75, -86.25, -83.75, -81.25, -78.75, -76.25, -73.75, -71.25, -68.75,\n",
+       "       -66.25, -63.75, -61.25, -58.75, -56.25, -53.75, -51.25, -48.75, -46.25,\n",
+       "       -43.75, -41.25, -38.75, -36.25, -33.75, -31.25, -28.75, -26.25, -23.75,\n",
+       "       -21.25, -18.75, -16.25, -13.75, -11.25,  -8.75,  -6.25,  -3.75,  -1.25,\n",
+       "         1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
+       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
+       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-29d9d0df-238c-4d1a-9e69-e89dda783f26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d9d0df-238c-4d1a-9e69-e89dda783f26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a21679e-e981-4306-b35b-8f9088542c8f' class='xr-var-data-in' type='checkbox'><label for='data-5a21679e-e981-4306-b35b-8f9088542c8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
+       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
+       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
+       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
+       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
+       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
+       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
+       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
+       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
+       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
+       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
+       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
+       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
+       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f26fd0d-ea5a-47de-91bb-92c269963173' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f26fd0d-ea5a-47de-91bb-92c269963173' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00fbb31e-3a57-44ae-b64d-43d411eb11a0' class='xr-var-data-in' type='checkbox'><label for='data-00fbb31e-3a57-44ae-b64d-43d411eb11a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[144 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-32079792-df49-4e81-af24-83fae48f34ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-32079792-df49-4e81-af24-83fae48f34ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cf49407-dc05-4471-943e-b3f3a47a173d' class='xr-var-data-in' type='checkbox'><label for='data-8cf49407-dc05-4471-943e-b3f3a47a173d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[288 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2016-01-01 12:00:00 ... 2016-12-...</div><input id='attrs-5361ae1c-ee8f-43df-b4be-51a88cae695f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5361ae1c-ee8f-43df-b4be-51a88cae695f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec95d0c5-bbdf-4822-88bd-7452a1275185' class='xr-var-data-in' type='checkbox'><label for='data-ec95d0c5-bbdf-4822-88bd-7452a1275185' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2016, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2016, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2016, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
+       "       cftime.DatetimeNoLeap(2016, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2016, 12, 30, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2016, 12, 31, 12, 0, 0, 0, has_year_zero=True)],\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a813c681-52cf-4309-b1f0-8f9513085483' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a813c681-52cf-4309-b1f0-8f9513085483' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2efd7ba5-bae5-47b6-ac32-fdd9b4d198cc' class='xr-var-data-in' type='checkbox'><label for='data-2efd7ba5-bae5-47b6-ac32-fdd9b4d198cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b21b83e-c2a5-4c91-ab97-eb3a86f3b994' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9b21b83e-c2a5-4c91-ab97-eb3a86f3b994' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ccfeeab-8f71-4b32-8675-ad77474b907a' class='xr-var-data-in' type='checkbox'><label for='data-8ccfeeab-8f71-4b32-8675-ad77474b907a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[730 values with dtype=object]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71ecd0e3-6033-4f47-bf03-6eaa355c38d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71ecd0e3-6033-4f47-bf03-6eaa355c38d0' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18a16e62-d1e1-42fd-9fab-9c6b5d41e24a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18a16e62-d1e1-42fd-9fab-9c6b5d41e24a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31e807c0-15f5-4902-b028-ac8da88ae284' class='xr-var-data-in' type='checkbox'><label for='data-31e807c0-15f5-4902-b028-ac8da88ae284' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>regrid_method :</span></dt><dd>conservative</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>comment :</span></dt><dd>near-surface (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>tas</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean (interval: 1 day)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-06-18T15:27:32Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd></dl></div><div class='xr-var-data'><pre>[3784320 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8a478b3a-698e-4b04-8313-a19a8c47e4f0' class='xr-section-summary-in' type='checkbox'  ><label for='section-8a478b3a-698e-4b04-8313-a19a8c47e4f0' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4469f190-56f4-49ff-ad96-021013adb00f' class='xr-index-data-in' type='checkbox'/><label for='index-4469f190-56f4-49ff-ad96-021013adb00f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-88.75, -86.25, -83.75, -81.25, -78.75, -76.25, -73.75, -71.25, -68.75,\n",
+       "       -66.25, -63.75, -61.25, -58.75, -56.25, -53.75, -51.25, -48.75, -46.25,\n",
+       "       -43.75, -41.25, -38.75, -36.25, -33.75, -31.25, -28.75, -26.25, -23.75,\n",
+       "       -21.25, -18.75, -16.25, -13.75, -11.25,  -8.75,  -6.25,  -3.75,  -1.25,\n",
+       "         1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
+       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
+       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-80d59baf-337c-4c2b-b24d-8cfc16ae02fb' class='xr-index-data-in' type='checkbox'/><label for='index-80d59baf-337c-4c2b-b24d-8cfc16ae02fb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        23.75,\n",
+       "       ...\n",
+       "       336.25, 338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25,\n",
+       "       358.75],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=144))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2973ba37-c896-472c-bdc7-af78ba43ebd1' class='xr-index-data-in' type='checkbox'/><label for='index-2973ba37-c896-472c-bdc7-af78ba43ebd1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([2016-01-01 12:00:00, 2016-01-02 12:00:00, 2016-01-03 12:00:00,\n",
+       "             2016-01-04 12:00:00, 2016-01-05 12:00:00, 2016-01-06 12:00:00,\n",
+       "             2016-01-07 12:00:00, 2016-01-08 12:00:00, 2016-01-09 12:00:00,\n",
+       "             2016-01-10 12:00:00,\n",
+       "             ...\n",
+       "             2016-12-22 12:00:00, 2016-12-23 12:00:00, 2016-12-24 12:00:00,\n",
+       "             2016-12-25 12:00:00, 2016-12-26 12:00:00, 2016-12-27 12:00:00,\n",
+       "             2016-12-28 12:00:00, 2016-12-29 12:00:00, 2016-12-30 12:00:00,\n",
+       "             2016-12-31 12:00:00],\n",
+       "            dtype=&#x27;object&#x27;, length=365, calendar=&#x27;noleap&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c1989c88-541f-4045-a9e2-efe55b51c4cd' class='xr-section-summary-in' type='checkbox'  ><label for='section-c1989c88-541f-4045-a9e2-efe55b51c4cd' class='xr-section-summary' >Attributes: <span>(52)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>60225.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60225.0</dd><dt><span>contact :</span></dt><dd>Evgeny Volodin (volodinev@gmail.com)</dd><dt><span>creation_date :</span></dt><dd>2019-06-18T15:27:34Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>update of RCP4.5 based on SSP2</dd><dt><span>experiment_id :</span></dt><dd>ssp245</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.INM.INM-CM5-0.ssp245.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>Global 2.5 degree grid with one cell centered at 1.25E,1.25N.</dd><dt><span>grid_label :</span></dt><dd>gr</dd><dt><span>history :</span></dt><dd>2019-06-18T15:27:33Z ;rewrote data to be consistent with ScenarioMIP for variable clt found in table day.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Institute for Numerical Mathematics, Russian Academy of Science, Moscow 119991, Russia</dd><dt><span>institution_id :</span></dt><dd>INM</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>INM-CM5-0</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>RJNAMM 2018, 367-374. DOI: 10.1515/rnam-2018-0032</dd><dt><span>run_variant :</span></dt><dd>standard</dd><dt><span>source :</span></dt><dd>INM-CM5-0 (2016): \n",
+       "aerosol: INM-AER1\n",
+       "atmos: INM-AM5-0 (2x1.5; 180 x 120 longitude/latitude; 73 levels; top level sigma = 0.0002)\n",
+       "atmosChem: none\n",
+       "land: INM-LND1\n",
+       "landIce: none\n",
+       "ocean: INM-OM5 (North Pole shifted to 60N, 90E. 0.5x0.25; 720 x 720 longitude/latitude; 40 levels; vertical sigma coordinate)\n",
+       "ocnBgchem: none\n",
+       "seaIce: INM-ICE1</dd><dt><span>source_id :</span></dt><dd>INM-CM5-0</dd><dt><span>source_type :</span></dt><dd>AOGCM AER</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>day</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 February 2019) MD5:951084b632bd52c3f6224e495b1cb65e</dd><dt><span>title :</span></dt><dd>INM-CM5-0 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/89cab4a2-c867-4bb5-a215-622f969cd844</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by Lawrence Livermore PCMDI is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>grid_original :</span></dt><dd>gs2x1.5</dd><dt><span>grid_label_original :</span></dt><dd>gr1</dd><dt><span>nominal_resolution_original :</span></dt><dd>100 km</dd><dt><span>regrid_operation :</span></dt><dd>conservative_120x180_72x144</dd><dt><span>regrid_tool :</span></dt><dd>xESMF_v0.8.2</dd><dt><span>regrid_weights_uid :</span></dt><dd>046d352045d899caf55bd49408cff1e6_d4ebf553238ebf865140bded4c8e73b9_peri_no-degen_conservative</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 15MB\n",
+       "Dimensions:    (lat: 72, lon: 144, bnds: 2, time: 365)\n",
+       "Coordinates:\n",
+       "  * lat        (lat) float64 576B -88.75 -86.25 -83.75 ... 83.75 86.25 88.75\n",
+       "  * lon        (lon) float64 1kB 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
+       "    lat_bnds   (lat, bnds) float64 1kB ...\n",
+       "    lon_bnds   (lon, bnds) float64 2kB ...\n",
+       "  * time       (time) object 3kB 2016-01-01 12:00:00 ... 2016-12-31 12:00:00\n",
+       "    height     float64 8B ...\n",
+       "    time_bnds  (time, bnds) object 6kB ...\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    tas        (time, lat, lon) float32 15MB ...\n",
+       "Attributes: (12/52)\n",
+       "    Conventions:                  CF-1.7 CMIP-6.2\n",
+       "    activity_id:                  ScenarioMIP\n",
+       "    branch_method:                standard\n",
+       "    branch_time_in_child:         60225.0\n",
+       "    branch_time_in_parent:        60225.0\n",
+       "    contact:                      Evgeny Volodin (volodinev@gmail.com)\n",
+       "    ...                           ...\n",
+       "    grid_original:                gs2x1.5\n",
+       "    grid_label_original:          gr1\n",
+       "    nominal_resolution_original:  100 km\n",
+       "    regrid_operation:             conservative_120x180_72x144\n",
+       "    regrid_tool:                  xESMF_v0.8.2\n",
+       "    regrid_weights_uid:           046d352045d899caf55bd49408cff1e6_d4ebf55323..."
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 2.5 degrees\n",
+    "wf2 = ops.Subset(tas, time=\"2016/2016\")\n",
+    "wf2 = ops.Regrid(wf2, method=\"conservative\", grid=\"2pt5deg\")\n",
+    "\n",
+    "resp2 = wf2.orchestrate()\n",
+    "resp2.ok\n",
+    "\n",
+    "ds_25 = resp2.datasets()[0]\n",
+    "ds_25\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "b5d0276a-0d91-413a-be76-753ebf04ca4d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading to /tmp/metalink_x89nq9a4/tas_day_INM-CM5-0_ssp245_r1i1p1f1_gr_20160101-20161231_regrid-conservative-180x360_cells_grid.nc.\n"
+     ]
+    },
+    {
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+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 95MB\n",
+       "Dimensions:    (lat: 180, lon: 360, bnds: 2, time: 365)\n",
+       "Coordinates:\n",
+       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon        (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
+       "    lat_bnds   (lat, bnds) float64 3kB ...\n",
+       "    lon_bnds   (lon, bnds) float64 6kB ...\n",
+       "  * time       (time) object 3kB 2016-01-01 12:00:00 ... 2016-12-31 12:00:00\n",
+       "    height     float64 8B ...\n",
+       "    time_bnds  (time, bnds) object 6kB ...\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    tas        (time, lat, lon) float32 95MB ...\n",
+       "Attributes: (12/52)\n",
+       "    Conventions:                  CF-1.7 CMIP-6.2\n",
+       "    activity_id:                  ScenarioMIP\n",
+       "    branch_method:                standard\n",
+       "    branch_time_in_child:         60225.0\n",
+       "    branch_time_in_parent:        60225.0\n",
+       "    contact:                      Evgeny Volodin (volodinev@gmail.com)\n",
+       "    ...                           ...\n",
+       "    grid_original:                gs2x1.5\n",
+       "    grid_label_original:          gr1\n",
+       "    nominal_resolution_original:  100 km\n",
+       "    regrid_operation:             conservative_120x180_180x360\n",
+       "    regrid_tool:                  xESMF_v0.8.2\n",
+       "    regrid_weights_uid:           046d352045d899caf55bd49408cff1e6_d24f4f689f...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-63f35d2c-84bb-4360-867a-366fddbb2436' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-63f35d2c-84bb-4360-867a-366fddbb2436' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 365</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3f57e335-5ecc-4f1e-8c50-65ffe54d66e7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3f57e335-5ecc-4f1e-8c50-65ffe54d66e7' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-80f92c1b-a55e-4e6e-8b68-7dc7fc42790e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80f92c1b-a55e-4e6e-8b68-7dc7fc42790e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5f40403-900b-419d-84f1-90a3355af93a' class='xr-var-data-in' type='checkbox'><label for='data-f5f40403-900b-419d-84f1-90a3355af93a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
+       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
+       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
+       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
+       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
+       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
+       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
+       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
+       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
+       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
+       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
+       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
+       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
+       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
+       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
+       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-019de851-e358-4b22-aa84-266e15870e2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-019de851-e358-4b22-aa84-266e15870e2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3575cb0b-b4f8-4e4d-b03f-af81e7a9af1f' class='xr-var-data-in' type='checkbox'><label for='data-3575cb0b-b4f8-4e4d-b03f-af81e7a9af1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1cbf7f24-03d1-4165-b2ea-cc0e16aaba5c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1cbf7f24-03d1-4165-b2ea-cc0e16aaba5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9401a27-b491-4fce-86da-5d79757446e5' class='xr-var-data-in' type='checkbox'><label for='data-c9401a27-b491-4fce-86da-5d79757446e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[360 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8e4287cc-fe2c-4b33-9288-a9e9f5999473' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e4287cc-fe2c-4b33-9288-a9e9f5999473' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-635d2124-0d18-49b8-b352-30d0d230a3b8' class='xr-var-data-in' type='checkbox'><label for='data-635d2124-0d18-49b8-b352-30d0d230a3b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[720 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2016-01-01 12:00:00 ... 2016-12-...</div><input id='attrs-ab3161e2-2dad-40da-bbb2-cca65313544b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab3161e2-2dad-40da-bbb2-cca65313544b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6a78b75-68f1-489c-a575-f6199186f206' class='xr-var-data-in' type='checkbox'><label for='data-b6a78b75-68f1-489c-a575-f6199186f206' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2016, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2016, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2016, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
+       "       cftime.DatetimeNoLeap(2016, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2016, 12, 30, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2016, 12, 31, 12, 0, 0, 0, has_year_zero=True)],\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc4e355f-46f8-465a-8b47-9b7d349779da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc4e355f-46f8-465a-8b47-9b7d349779da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cae574fe-7508-44b6-8f5a-d636ebb67f5e' class='xr-var-data-in' type='checkbox'><label for='data-cae574fe-7508-44b6-8f5a-d636ebb67f5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b99d11b-9ef8-4965-ac72-5ebb02894bd1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b99d11b-9ef8-4965-ac72-5ebb02894bd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff9d2c86-7871-4de9-8de4-2a2de84f4962' class='xr-var-data-in' type='checkbox'><label for='data-ff9d2c86-7871-4de9-8de4-2a2de84f4962' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[730 values with dtype=object]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0259442b-4c10-45af-802d-4daef5faad03' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0259442b-4c10-45af-802d-4daef5faad03' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-95480e6c-47ba-40ab-a57b-2cd1bd49b258' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95480e6c-47ba-40ab-a57b-2cd1bd49b258' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-160283f7-a7d6-44dc-a7b5-f736ca23edf8' class='xr-var-data-in' type='checkbox'><label for='data-160283f7-a7d6-44dc-a7b5-f736ca23edf8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>regrid_method :</span></dt><dd>conservative</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>comment :</span></dt><dd>near-surface (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>tas</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean (interval: 1 day)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-06-18T15:27:32Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd></dl></div><div class='xr-var-data'><pre>[23652000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ab308e0c-77f6-4618-a92a-c5face84cfae' class='xr-section-summary-in' type='checkbox'  ><label for='section-ab308e0c-77f6-4618-a92a-c5face84cfae' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-741e8ae2-25c3-4d30-a84c-c0350c095aea' class='xr-index-data-in' type='checkbox'/><label for='index-741e8ae2-25c3-4d30-a84c-c0350c095aea' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
+       "       ...\n",
+       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2cc96ae9-29ca-4ace-aa92-32fb2563f69e' class='xr-index-data-in' type='checkbox'/><label for='index-2cc96ae9-29ca-4ace-aa92-32fb2563f69e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
+       "       ...\n",
+       "       350.5, 351.5, 352.5, 353.5, 354.5, 355.5, 356.5, 357.5, 358.5, 359.5],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=360))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f8ca912d-9db3-4d10-be06-a111e98c9a15' class='xr-index-data-in' type='checkbox'/><label for='index-f8ca912d-9db3-4d10-be06-a111e98c9a15' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([2016-01-01 12:00:00, 2016-01-02 12:00:00, 2016-01-03 12:00:00,\n",
+       "             2016-01-04 12:00:00, 2016-01-05 12:00:00, 2016-01-06 12:00:00,\n",
+       "             2016-01-07 12:00:00, 2016-01-08 12:00:00, 2016-01-09 12:00:00,\n",
+       "             2016-01-10 12:00:00,\n",
+       "             ...\n",
+       "             2016-12-22 12:00:00, 2016-12-23 12:00:00, 2016-12-24 12:00:00,\n",
+       "             2016-12-25 12:00:00, 2016-12-26 12:00:00, 2016-12-27 12:00:00,\n",
+       "             2016-12-28 12:00:00, 2016-12-29 12:00:00, 2016-12-30 12:00:00,\n",
+       "             2016-12-31 12:00:00],\n",
+       "            dtype=&#x27;object&#x27;, length=365, calendar=&#x27;noleap&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6866e9d2-ded3-4843-a960-baf36fd9b8de' class='xr-section-summary-in' type='checkbox'  ><label for='section-6866e9d2-ded3-4843-a960-baf36fd9b8de' class='xr-section-summary' >Attributes: <span>(52)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>60225.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60225.0</dd><dt><span>contact :</span></dt><dd>Evgeny Volodin (volodinev@gmail.com)</dd><dt><span>creation_date :</span></dt><dd>2019-06-18T15:27:34Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>update of RCP4.5 based on SSP2</dd><dt><span>experiment_id :</span></dt><dd>ssp245</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.INM.INM-CM5-0.ssp245.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>Global 1.0 degree grid with one cell centered at 0.5E,0.5N. As used by the World Ocean Atlas.</dd><dt><span>grid_label :</span></dt><dd>gr</dd><dt><span>history :</span></dt><dd>2019-06-18T15:27:33Z ;rewrote data to be consistent with ScenarioMIP for variable clt found in table day.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Institute for Numerical Mathematics, Russian Academy of Science, Moscow 119991, Russia</dd><dt><span>institution_id :</span></dt><dd>INM</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>INM-CM5-0</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>RJNAMM 2018, 367-374. DOI: 10.1515/rnam-2018-0032</dd><dt><span>run_variant :</span></dt><dd>standard</dd><dt><span>source :</span></dt><dd>INM-CM5-0 (2016): \n",
+       "aerosol: INM-AER1\n",
+       "atmos: INM-AM5-0 (2x1.5; 180 x 120 longitude/latitude; 73 levels; top level sigma = 0.0002)\n",
+       "atmosChem: none\n",
+       "land: INM-LND1\n",
+       "landIce: none\n",
+       "ocean: INM-OM5 (North Pole shifted to 60N, 90E. 0.5x0.25; 720 x 720 longitude/latitude; 40 levels; vertical sigma coordinate)\n",
+       "ocnBgchem: none\n",
+       "seaIce: INM-ICE1</dd><dt><span>source_id :</span></dt><dd>INM-CM5-0</dd><dt><span>source_type :</span></dt><dd>AOGCM AER</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>day</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 February 2019) MD5:951084b632bd52c3f6224e495b1cb65e</dd><dt><span>title :</span></dt><dd>INM-CM5-0 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/89cab4a2-c867-4bb5-a215-622f969cd844</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by Lawrence Livermore PCMDI is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>grid_original :</span></dt><dd>gs2x1.5</dd><dt><span>grid_label_original :</span></dt><dd>gr1</dd><dt><span>nominal_resolution_original :</span></dt><dd>100 km</dd><dt><span>regrid_operation :</span></dt><dd>conservative_120x180_180x360</dd><dt><span>regrid_tool :</span></dt><dd>xESMF_v0.8.2</dd><dt><span>regrid_weights_uid :</span></dt><dd>046d352045d899caf55bd49408cff1e6_d24f4f689f12099406e6b95115553334_peri_no-degen_conservative</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 95MB\n",
+       "Dimensions:    (lat: 180, lon: 360, bnds: 2, time: 365)\n",
+       "Coordinates:\n",
+       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
+       "  * lon        (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
+       "    lat_bnds   (lat, bnds) float64 3kB ...\n",
+       "    lon_bnds   (lon, bnds) float64 6kB ...\n",
+       "  * time       (time) object 3kB 2016-01-01 12:00:00 ... 2016-12-31 12:00:00\n",
+       "    height     float64 8B ...\n",
+       "    time_bnds  (time, bnds) object 6kB ...\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    tas        (time, lat, lon) float32 95MB ...\n",
+       "Attributes: (12/52)\n",
+       "    Conventions:                  CF-1.7 CMIP-6.2\n",
+       "    activity_id:                  ScenarioMIP\n",
+       "    branch_method:                standard\n",
+       "    branch_time_in_child:         60225.0\n",
+       "    branch_time_in_parent:        60225.0\n",
+       "    contact:                      Evgeny Volodin (volodinev@gmail.com)\n",
+       "    ...                           ...\n",
+       "    grid_original:                gs2x1.5\n",
+       "    grid_label_original:          gr1\n",
+       "    nominal_resolution_original:  100 km\n",
+       "    regrid_operation:             conservative_120x180_180x360\n",
+       "    regrid_tool:                  xESMF_v0.8.2\n",
+       "    regrid_weights_uid:           046d352045d899caf55bd49408cff1e6_d24f4f689f..."
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 1 degree\n",
+    "wf1 = ops.Subset(tas, time=\"2016/2016\")\n",
+    "wf1 = ops.Regrid(wf1, method=\"conservative\", grid=\"1deg\")\n",
+    "\n",
+    "resp1 = wf1.orchestrate()\n",
+    "resp1.ok\n",
+    "\n",
+    "ds_1 = resp1.datasets()[0]\n",
+    "ds_1\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "087503d7-e4ac-42f8-82a6-770a92795780",
+   "metadata": {},
+   "source": [
+    "### Plot 2.5deg vs. default vs. 1deg"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "8c433546-4b3d-44e4-814e-527b316ca3e3",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.colors as mcolors\n",
+    "import cartopy.crs as ccrs\n",
+    "import cartopy.feature as cfeature\n",
+    "\n",
+    "from matplotlib.gridspec import GridSpec\n",
+    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "0679c3e5-f2bc-4e50-8b4d-f0cefa54d65a",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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9PhrrM3HOOeeI6OhoUVlZWWv7kQ6Rx/a7OdKxtaKiwr/twIEDQqfTiYcffrjB4zfmSJ+FN954o8E0Tb2OHo9HjB49WsTGxorc3Fzx3//+VwBi9uzZJzx+fX0mNm7cKJYsWVLr5+WXXxaAePLJJ8WSJUuE2+0W1dXVddItWbJEnHfeecJgMIglS5b4+1xIklSXDCaa6MhojrS0NPHOO++IxYsXixkzZojJkyfXGs3RpUsX8dlnn4mffvpJTJkyRQDi+eef9+fT1GDihx9+EBdccIF4++23xcKFC8WCBQvEnXfeKQDxzjvv+Pe7/fbbhclkEg899JD44YcfxOLFi8Xnn38u7rrrrlof7icKJsrKyoTRaBRJSUl1OkQKUdPBT6fTiTFjxoiffvpJfPPNN2LChAmic+fOdT7In3jiCf+Xy5o1a/yjFoSoP5gQQohHHnlE6PV6ER0dXaczqBA1ozmsVqsYMmSI+PDDD8WSJUvE999/L1566SVxzjnnNHhe9SkoKBCzZs0Ss2bNEjfccIO/rLNmzRJLly71p1u+fLkwGo2iQ4cOYvHixbVGp6xatapWZ1CHwyF69uwpkpOTxeeffy4WLlwoLr/8cqHRaGrlWVVVJbp16yZ69OjhH52QkZEhwsPDxaWXXlrnnI+Uc+DAgSI6Otr/eNu2bf503333nVAURQwbNkx8+eWXYtGiReLpp58WISEhokePHrUCsB07doiQkBAxatQo/+vYq1cvkZCQ0GDn4hM5//zzhdForBMABnMdH3vsMaFSqcQvv/zi3zZx4kRhsVjEvn37/NtsNpv/Wjz44IP+4GDWrFnip59+arS8jXXAPJ7sgClJTSODiQBs375dTJo0SURGRgqdTidSUlLE1KlT/ZPubNmyRUycOFGEh4cLnU4n+vbtW6emoanBxM6dO8XkyZNFenq6MBqNIjw8XAwZMkR89NFHdcr1wQcfiKFDhwqz2SyMRqNIT08XN9xwg1i/fr0/zYmCCSGEuPbaawVQ71BNIWoCnL59+wqDwSASExPFQw89JObNm1cnmCgpKRFXXXWVsFgsQlEUcWwFWEPBxO7du/2jEI4fpnrsNbr55ptFYmKi0Gq1Ijo6WowYMUL8+9//bvS8jnfkNajvZ/To0f50R4Kihn6OvxPOy8sTN9xwg4iIiBAGg0EMGzaszrlcd911wmQy1QoGhDh6d/3yyy836fjHX8PFixeLc889V8TFxQmj0Si6dOkiHnzwwXpH46xfv16MGzdOmEwmERYWJi677LI6E141VVZWllCpVOKGG25oME1Tr+OCBQuESqWqc27FxcUiJSVFDB482B8YHfl7qe/nRBOmyWBCkpqfIoQQJ9lSIkmSJElSOyZHc0iSJEmSdFLkaA6pzfB6vTRW0aYoStBzObQn8jpKkhQoWTMhtRnp6el15qE49ieQ1SXbM3kdJUkKlKyZkNqMH374wb/oWn1CQ0NPY2laL3kdJUkKlOyAKUmSJEnSSZHNHJIkSZIknZQmN3M4HA7/PPWSJElS+6HT6YKaal1qP5oUTDgcDqKssdgcFae6PJIkSdIZJioymuyDWTKgkBrUpGDC5XJhc1QwJvl2NKr6F+cBOFixnZ2liwHoEDYQRVGxv3xdrTRxyUNI63Fxo8dzm4JrfVF5guv+oXIHt5/G4Q14H48huCF1HuPpvSZqV+D7Kd7gjqX4grz+le7Aj+X1BXUsxR3kfh5PUPsRxOGUILs/iSCX21bcDZ+bwEdW2R/sLfmNCFMK/eImoqDA4WO5vQ7yq/agVRspd+aSVbaBfvGXEWXqUH9+uuD+bhR7wx1JG+UL/G87aEG+J2nk+jcqwNfbI1wsLfwEl8slgwmpQQGN5tCodGhUdVen9FOOfphlVmyoN0lIeCIabeNvSKEN8otTCTKYIMgvM08QHzjaIMfnn+Zrog7ii0kJ8lhBBxOawK+lEsy3NKAE+eWiiCBf7yC+3097MOFr/NzSI4cRaojm95zZFNgySAzrCYqCEII9xSs4ULYeAJ26ZrXT7QULGNXhdjTqup8xIsh5LZSge4WdxmBCBBlMqII8uUBf7yCLJ7UvzTo0NDGkB4X2DJxeO1XuIgCGjHsEg9HanIeRJKmVcHntAGzJn0uJ/QAR5lS8PjcHytbTOXIUOo2JfSWrwAt6TQhK8N/+kiS1oGYNJrRqA4PjJ2F3l/PrwfdICeuH3hBeK43HXY3H45ABhiS1cVvzf+ZgxWYAzNoIKl2FHKrc6n8+LWIYiqKAEGwrmE/36PGoVdqWKq4kSSehWYMJr8+D3VOKEIIEcw+yKjZRtrKUmMT+aLQmXM4K9u+YhxBezr7o2QbvQrweFx6nDb1ZBhyS1FoZNGEYNeEMTboWg7Zmoiu7u5xfM98GYP6e5xnf6X6SwvsSqo8h3BDfksWVJOkkNGnSqoqKCsLDwxmfem+DfSaKqjPZmP89XlHTKU5BTZg+BpfWi8NWhBA+VGodPm/N8NLohL6EWVNRqXXEJQ+uuUM57Ncf/wbA8Kv/G9DJnPYOmNVBdMA0tuEOmEEe67R2wPQE2wEzyD4T7bQDZsM7KXh9bn7d/zZOrw2T1sqojrefcLegO2Da2nIHzMDf/0DgHTB9Ln4peI/y8nLCwsKCO6bU5jVbzUSRPROvcJMS2g+PcJFTtZ1yZy44QVE0hFlTsMZ0pbI0i5KCHRTm/EFhzh8A2CvzyctaQ8/BU1GpGx4tIklS66dWaTkn/V4ySlahUxlbujiSJDWDZgsm0q3DsblLyarcVGu7NboL1ugulBVlcDBjGV6Po86+h/YvB2Dz6nf822LThzdX0SRJOgOlR8i/8abwCg8q1Ah8OLxVeHwuDJpQNELBI5y4fA70KhNqRYPdW45AYFZbUClqhPDhEg6E8CEQ6FQGVGhr1QRLUnNotmBCq9IzIPYydpeuYH/52prMVXqi4vsQGdOdpLRRCOHDYS+l2l5CdVUhFaWZ2CvzcTrK8bjttfI7vvXF5agkP2MVcZ1GotWbm6vYkiRJZ5QqdwkHqv7A5bPjE16KHAdQKRq8wgNNHMauVrToVUY8wo3LV13rORVqzBorGkVLtD6VCF0CZe58qr2VCASV7iIEAgUVHuHE7ZMzH0sn1mx9Jo4QQrDwwHR8onab4+BzHkarMzc4x0Rp4R62rHm31rbuo27HEtcFgNzdv5K56XsUlZphVz1Xbx6yz0Rdss/EcceSfSbqON19JoLRHvpMVHsqyKhczyHbdlSKmjBtNABRhlRUihqNSodRHYZa0eD02vF47GgVPRpFh81bjstXjUUbi1rRUOrOw+1zIBD+baDg9jlwCQc2Tykun5N85z5AoEKNQR2KSlFhVoejUmruM7UqPQoqDtg3yz4TUqMCCibGhV+PRjlxn4ZqbyVePGgUHRt8y6iqyqVmFh5BuKUj/QbcjEpVt1IkY+98sjKXog2NRKUouGxlxPUdjzkmlb0/1/QAjx94PvH9z633uMHOD6RxBPchbCwM/MPUqw8uKHBEBLefVxfch3cw10RTHdx1DLaMXn3g+wX7WmurggtC1M7g9jPtKw14H3dMcEuDC3Vw119tDyKYCzIoE0FO9hbs8YKaqEkT5BwZQuD1uVm9413cnmqSowfRIW7ECYfJqvJr3iNrCr6m1JUDgIKCSWPBpLFg1IRh1liw6OII08b4mzaE7WgtcKWnGB8+QtURqJT6r7FHuFhU9okMJqRGNevQ0COM6qMfaoMG38vB7JVk7JmHEILysv0sW/x/AHRMP5cOHc/xp03vdB5arYmMPT8R2WUoxbvXkPv7z7Xyzt3wMz6Ph7DEzhTvWU/KyKtQaeTYdEmSWq+dWT9R7SxlWPfbCDHGBLSvSRPuDyYEAqfXhkEdSokjm2zPFgQ+dCojccZOJJl7EkqIf99QTWSznofUfp2SYOJYiqIiOeUstFozu3fOwes92v6WfWAFiYlD0OqO9oFIST2bvIodFO9eQ2hiVyoP7Tqckco/7Wz+H7+Q/8cvACQPvwyvy4taJ+eMl06NJlTeSVLQ7I4SDhVvonvKRQEHEgC9IybQNXwkBY5Mcu27KHZmA4LhsdegAGWufAqq95Nr30WWbQtWTRwp+p5EaZPQKPJGTGoep6SZ41iuQZ38v/t8Xrb88Sklxbtqpek34DasEWn+x8VxHjKXzaAiezugoDWHY7DG4XNVYys4UOcY5tiOdJ14n2zmqO94spmjlkDPq+zQDnYvfg+dMZxO/a7CGtctoP1lM0dt7b2Zw+tzU1p5gEp7LjZHMXZnMTZHMUL4OLvXn9Fqjg6V9fm8VLtK8XiduDx2nK4KvMKDXhuKSWfBVA46dd2htUWOA2wo+gG1oiXGmEacsRMR+kRUioaC6gwOVGyk1JOHGi2php6kGwagamQac9nMITXFKa+ZOJZKpaZn78k4neVs3zLzcF8K2PT7u6R1Oo/UDmMAqMzNoCJ7O53OvwNnRRGVOXsoz96OWm8mtt8ETJEJFO9aQ8XBnQAYrXGn8zSkdsRZVQKA1+2kIHtDwMGEJAH4fB7ySrayNXMOABq1HpMhCrM+Aos5mYTIfmjUBsqqsiko20lJ5QGqqvOO68iuoFJUtbaFaCKIN3WlQ0g/fx+LKEMqI2OvJde+m7zqPeTYdwAKRnUoJk044epoQlQWsl072efYhAo16cb+p+9iSG3SaQ0mADQaPRpNDIOH/RmA3Tu/49DB1ezbO58D+5fi9R7tfW2wxhGW1JXoHiNxVZWyd8H75G9aCIA59mhNRtGu1VQc2oXHYQuuUEHWYgfTez7YnvPBrCJ5UlpDzX4w1yTA8xI+DyqNnpjUQRQd3ITH7TjhqreSdKxy2yG2H/iRSnsuGrWepKiBdE6agKIo2J2llJRnsD9vBcUVGbg8NrQaE1Fh6cRH9ibUGItGbUCnMaLThqKg4PZW43CWUV2QTaEjkz0Vq9hfuYH+kRcRaUgGIEQbQefwYXQKG4rNU0qZKxebuxSbp4x8VyYuXzVaxYCCglkdfoIzkKQTO+3BxPG6dLuUuISBHNi/FKMxguysmgmskoZfjs589E2uC7HSYfS17JzzMggv1SWHjmYiBC5bGRGdBmKMTAi4DMEODdXaAq8L9WmCiwo8puD28wVZhR3MkFJ1kLP7nmAl64b3C+JaqgN8rQVgCI0iTBdL3r5V7F7/BVGJfTGYIzGERKHTh5wwD6l98vk87Mj6iUNFv2PQhTO4601YQ1NxuCo4VLSBnOLNlFVlAQphpjgSIvsSbemKxZzU6OqpOo0JncaExWQk0pBCjn0nHuFiXdG3nJ/051ppFUUhRBtBiDbCv+3Y0RyS1FxaPJgACAtLonff6wDw+dwcOriaQ2t/oPzANsKSuhGW3A2DJRZTZALJI68ke8VX+NzHjR/3+XCU5ZN6zuSAjy/7TNQl+0zUpq3y0aH3xeTsWcaevB3+7aawOGJSB1NZcoDygr2ggMEcRURcN2JSh2BSBdePQWrdvD43G/d8QWnVAXqkTiQxqj8llZms2/khpVUHAIWI0A707ngF0eFd0Kgbn7+nITqVgW7ho9hZ/isGtQxspZZzRgQTx+rS7VKsZ5/LwVVzKMvcTGXObg6t/R6NMZTQhC6YIutZWVCtBa8be0EWQgg5Vax0SiSkn0VC+ll43A6c9lLslfkc2rOMzK1zMZojiU8fiaJSYyvP5eCeZWTt/IWkDiMJtaRgNEdhDo1vlvemT3hxemwYNKHyvd4C1ux+n3L70ZrR2PDupMePwWyumcvB5/OyPfMHyqqyGdD5OpyuCn7f8wXFFXsJNyfSq+PlRId3Rqsx1WQQ7GRjQpBfvZcKdwEKKpLMPZvj9CQpKGdcMAGgM1tQ62v3UvZUV1KasYHSjGM2Kiqie55N4dZl/k3FO1YT1UPO+S+dOhqtAU14PObweKKT+tUbwHrcDjI2fcPBw+vOAETF9iK1y7mYQ2PxepzkZa+jqiKHiJjuhFlTUau1eL1uNJq6fTK8Pjf5VXs4VLaZEnsWAh8mXQSJ4b1JCu+NXiPvSk+X1OhhbD4w2/84v3wH+eU1tVVajQmDNowqRwEd4kayO3s+ldX5WMzJ9Op4OfERvRttwjjC7XXg9brwCQ9F5RmYDRFEhKb532c2RxFZZcvItm0lTBtNh5D+pIUOPDUnLElNcEYGEwAqjQ59WBSpoyZTmbOH4t1rcR3uWe8nfBTt+K3Wpuzls7Ck9UFjkOt3SKdHfbUDGq2BzgOvJiamFyHhiZSXZLJ/51w2LH8JozkKZ3U5QvjQ6kzkH9pQa1+tzkyCuQcqRYVK0VDtLqegag8enxOrMYlusePQa0IoqNxNRtFv7C38lZiQzsRphhFp7dykLyspeHHWnsRZa2oBfMJHSeU+duUsxOYoxO2x4/W5iAhN40DeKox6K0O730a4ObFJeXt9bn7b9joOV3md53QaMxFhaXi8DorL96JR6UkPHYIPL2mhA/1TYEtSSzhj333mmFQKty3HXnyQ+AHnEj/gXITPh9dVjcdpx+u0g6JQcXAnuRtqz5LpdVbLYEJqcSqVhqi4XgAYEq1Ex/emKG8bFWUH0BvCiY7vg04fRlnxXoTw4fPW9GDNObCKgsrdKKjwCjd6TQgp1oEkhvfGrLP6848L7Up37wRyKrZxsGwTf2z9BIPeQnzcQBLiBmLQy176p5pKUREV1omosE7szFlAduFaLOZkSiv3kxwzhE6JY084LfaxfD4vnnpWVgYIMcZSVpWNw1UGQKwxnfzqfVR5ijCqQ0kJ6dMcpyRJQTljgwlrx37Y8jM5uOpbtKZwrB37oKhUaAxmf6AgfF72/PRmrf3C0/qgD49qiSJLUqNUKg0xCX2JSehba3tEdNdaj6Pj+zR50iqt2kCqdSAplgEUG8vJyVtHVvZy9h9YTFREFxLiBxMZ0aXBdRekk+cTPvbmLiarYDUApZWZ9E2/mhhr94Dz0moMjO3/d/9jj9dJhT2XHVk/UWnPxes7OmTqoG2b//c4Y+cgy+4ly7kdu6+SzoaBaE+wkKMkNeSMDSYUlYqk4ZdTXZJD8e41WDvWjbq3f/18nVEdGp3pdBVRks4YiqIQHpZMeFgyndMuJL9wM4dy17F522fodaEkxA8mMW4wer2cwbA5VVbns+PgT5TZsgFQqbT0SbuKyNCOZOb9hk5jJi6iV70LGzaFRq0nIrQDfdKuZH/uckyGKFJjhiHwsfSPF7DqEukXcUG9M2GeSJH7IBuqjtbqJuu7oUUGE1JwAnqHC7c74EmX9FllAaUHEJ1iD/+mENahB7nrfsblLEd7zLwTwufDWVFYZ197eS7uAOOJYKcTNhYEvo+h2HXiRPUJcBrzI1yhQQ4p1QZ+TQK97kf4ghwa6gvq8znY0Q/BXUePKbj9NPGBf+kfXd4+hBjLCGI6j6Cq/BC5WWs4cHAF+7OWEhXbg/iU4Vgi04/29VAFOTRXF/i5KUFOhiaCLKPaEdx02irXifertOWyfu9H/on2DHoL/frejE4XyoYtH1NWngmAW6egVmupqMiioHAbRmMEndLOJzw8FQBfE66jng50S+oAgMfrZu/O7wHo2Wsyan04gQxS15TaqHZXsCGjJpCwGpPon3RlgwGJ4nVCWQAHkNqlM76nVlT34ajUWrKXz0aIo5NEKSoV0b3OqpM+fswVp7N4knRGCwlPpHPvKxg29lHSu0/EXlXAlrXvsv7XFzm0fwUed3VLF7HVEcJHXuFmNm7/xB9IhIcm06/vLeh0ofyx5SMqq3Lp1/dm9HoLu3Z/y/YdX1FUvIsIayd8Pg8bNr7D3ox5AS8iV1lxkOWL/o/cQ+sIMcXVGvnj9bqoqMppWj6OfP/vveMvrjeQ8PrccpE7qcnO2GaOI9R6I2q9kfLMrWx6exqdJt5FaGJN+2B0n9HYCrLxuqoxx6QQO/4K1Ho51bEkHU+jNZLYYQQJqcMpL9lPbtYq9u2cy/5dPxOT2I+O3S+stXqvVL+yimzWb32XY+dlj7R0oU/XP+HVKvyx+UOqbPn063sz4WHJDB38FyorD2EyRfmbmITwsW//LxzIWkpiwlD0+qb38bLbiv2/V9nzyC/aSmLsQCpsOazdXNN/bMyQf5xwEqyY0M6cnXYHWpUenaZ2laLLY2dL7lwKbRkkW/rRNfqcJpdPar/O+GACIKLLIPI2LABAazpa/asPi6TrFX/xP3bL5j5JapSiKFgi07BEpuFyVpKbvZaD+35FpdbRqdelLV28M47TVUlFVQ6FJTvIKag9hDfK2pXk+GFEhKfj9bnY9MdH2O2F9O97M2FhNWtkaDR6rNa0WvspioqoyK4cyFqKzxfYHPSx8X2JjO5GZcVB/lj/LoqiwmYv4PdtHx7Nv4lNeceODDqiwpHHuuwvAVArWnIrdpAeMSKgMkrtU6sIJqL7jPYHE8c2dUiSFDydPpTUTuPwehzkZq3FGt0Zj7sah72E2OTBGIyWli5ii6myF7B602v1Pte140Rio3qh0x69o88r3Exl5SEGDriTsLCkEx/g8FwgwXyeaTR6wi0dMBmi2Ln/B5Jjh+HxHh1O+tvGl4iP7k+IKZZIS2d02poaJ6/PjdttB2cZKkWDURtWa04Sj8/FHznfY9SEMTD5ag6Vb2FP4a/4CHIZd6ldaRXBhEpTe5y2nDJbkppPcqexVJRls23dR/5tbqeNTr0va7EytZTq6hLWrJteq8agQ+LZWMPTsIZ3rHeIrdfrJq/wD0JC4psWSFAzPwUEf3OkUqnp1/16Vm58GUVR6JF+BdszvgHA5bZxIGcFAIqiRgjv4X99HNs8ExvShf5JR/uYbc9bgMNdyfAOU9GqjRwoXY/FmIhWJZuOpRNrFcGEz3N0BMTOr17w/55+0e2EJXdriSJJUpuh1ZnoM+w2Sgp2EWpJZvv6T3BUl+BxV+NyVmI0R7f54D0vbyPbd86qta13lz8RG9XrhPtmZC+iwnaIPr1uaPLxlMNBie8kalpNhgjCzIlk5vxKeEgyYeZEnO4qnIdnz7SGdaS0Yj8AQnhJTxnPvuwlCFFT0xAVkn74OR87CxaRU7GV3vEXE6KPZH/xGpyeKpyeKpZkvBF0GaX2o1UEE2qdEX14NM7y2kNBc9fOk8GEJDWDmtk6a6aIjk8dxu4/vmLl/CcAsEZ3pefgqahUbXPiq983vktZ+X7/4z69ricmrEuT988v2kJi7GAiIjo1eZ8jzQvCF/jKw8fq2ekKsvPX4vW6yC3cCIBKURNp6UJh6Y5aaYvL9iKEl7TI4aRFDkejqhlufqh8CwdKN9A1ZiyFVRlsyf3Rv0+0OR2X1065I/ekyim1fa0imFAUBUtaX0r3/k7PKf8AwOty1Gn+kCTp5MUmDUSt1uH1usjOWHp4um8v0LaCCSF87Nr9nT+QGDjgLsJCk2pqYZowzwSA3VGC01WBXhfgvCCHa3o8XucJEjZu485PcTjLiI/uT+fU89lz4Gd8wku1s4Roa3dio3pRVLqbvKI/KKvIBCA2pCtFVfs4VLGVLlGjqHDkY9ZFoFXpyausHYDEh/Wg3JEjgwnphFpFMAGgqNX4PEfbMdU62Y4nSaeCoihEJ9TMOFuct5XqqgI2/fYGSWlnE53QN+jZHM8UDmc569a9httj9287a8Rj6AIcGltSvo/te75BrwslPrrviXc4htdb03R7KGctXpWPqJieATUlOarLyM9ajcNZBkBu4UZG9L+fpNghZOetodpZQllFJlv31G66sYalsSnnW6rdNU0hdlcJKkWDzVVCiT27znH2Fq3A7i4L6Nyk9qnVfCqotHo8TpvsfClJp1GPQTdSWrSHQ/uWs2vTl+zf8RMJHUaQ0GFEq5t6efXal7Hb686aO3L4wwEHElW2fH7f9iFhIYl0T78MvS6UQHo/hJjjSEkeRVb2rxQX72TAkLsJs6TUSedyVuF22zGHxCCEoLhwB4eyV1FakgHH9LfokX4FDmc5Xq+LmIju+ISH9OSxOFwV6LVhFJZsZ+f+H6h2lhBpSiEpvC+KomJP4TLcvprakZyKrbWOrVHpCTXE0Cv+AtZmfRHQ9ZHan1YTTHiqq9AaQ2UgIUmnkaIoRER3ISK6C/bKfA7uX0HWnkUc3Pcrg0b8Fb2h9axMqtXUneUxIqIz+iaurlpctpeSsgwqbTmUlO8DoFvaJYSa4wIui0qlplP6+eh0ZvZmzANFqXOjVFWZx/pVrwCQ1vkC8vM2YavMJcySSnRMTwrzt/jTHhnJcbyena4iLDqBpLghJMUNAWqm0z5icMpkCqv2seHgVwAoqEiPGklSeG/0mprP25NtipHah1YTTLgqitGHR7d0MSSp3TKFxtKlz5Wkdh7HmkXPUFK4i/jkIS1drEb5fF7KyjPZ9Mf7tbandZhATExvtFpzrSW/j0wfrfLU7jNR7Shl045PQYDRYMVsjKFzh/MIC0k4qfKFhtYMJf19zeuoVFrMIbFYItKoKMuiovxos0Nmxi9ERncjvcuFWCPSyc/dWCuYOJ7REIFBF06UpeHVRCsdBeRW7iC34mg/CYGP+LDuGLRyQTgpMK0mmKguzpEjNyTpDKA3WggJT6CsdP8ZGUwIISgu2M6hrJWUFe+Dehog9mUuZF/mwoDy1evCGTngr83aZ8Rq6UjfgbeSfWAFJUU7qaw4iNNZgdEYQXRsb5I7jEKvD0Wt1qOoVOTl/M7a316k2l5MRHg6CTEDCTHFsGX3V9iqCxjQ4yYiwtPqPZYQPsqrDlKQt4Ei237s7lK0KgPRIel0jBhCXGg3tGpDrYmsJKmpAvur8PpACXBctD3whYRU7tqLy/g8bpzlRZh6x9V57lhaEVwTiMoT3GI2rvDAe7eLIFbjBAjy1FAFOfLMpw78mnj1wRXSE+xqo0F8pgf69j3CE+RqoyLIARBGTeAf6EJz+lb/DI3uSGnudjzmwE4w2PdIU1exdVaVkLnyKyry9hAS3YHUgZfgspejNYahM4b6R1EcpdT654iazwSlVpqQyBSqjaENHltXEfgfm8/nQVfqQOeueQ30mlBCtJEMSplSk8Be85NZ+Cu7cn8BIDa8G307XUZ4qQpKgBInZ5kupVpfiT5PhSo/iwpPMXqVkQpPEZXeEkrdeZR68vAKNwZNKDHmTkQaRxNtTqs9EZdXwPEzXvrkDJjSibWSmgkBCJRW3otcktqK0MgO5O5dgctRgc5wZlSJF+//nQOrZ6PWGek89lYsSd1RBfk9qHI132qZRfnbcLkqiYjqgt1WjM/nQqMxkp35K1Xlh3C5KgEINcRS6cjHbTt6A5Zbto3NWd/6H0eEdKBf6lU1D0qPrvyZ5djODttvAKQZ+7GvepP/ObWixaKJIc3YD6smDmt0F1n7IDW7VvHt7HHUdBiS80pI0pkhNKojAJXFB4hM7N2iZakqyiJ/+zJKMjcR0bE/qUOvRKOr29myJRw88BsZO3+o9zm1Wkd4RBodQwYQaohGpzHjcFf6J5Pal7+SPfmLATDprPTv8CdCDHVXGLV5y/2BBOAPJGJ1Helo7Eu4pnZfMxlISKdCqwgmbEUHATBGJrZwSSRJAtAbw9EbLVQUZ7ZYMCGEj/ztv5K94Uf0IVZSh15JdJfhZ8yIL+Hzkpu9ut7nomJ6ktb1IoymCAy5Vf7tRl3NyBIhfP5AItHaj55JF9V7Xi6fg122mmN0MQ2hg6EP1b5KfMJLiKbuqqCSdKq0imDCVVWKotaiD41s6aJIknRYaGQHKksyW+TYPp+XjF8/pSxrCzFdR5I86BJU6pb/OHNUl3HowAq0+lCqKg5htxXSs/8N5GStQqcPwxwSS0x8P/QnaBpSFBXdEy5gR848usaPqzeQsHsr+L1yPg5vlT+QUBQFk7p5m50qnUXNmp/UNrX8X18TeJ12NAbzGXPHIUkShEV2YP+hLXi9btTq09sEmbV2DuUHt9P5nJuxJPc8rcc+nhA+8vauJGvz3Fqrjer0oaSkjSUyujtRMT0CzjfMGAvAluzv6Bw/llBDDFDTabPUlsUf5XPQKDqGWy7HrLY0y7kcTwjBmkMzTkneUtvSKoIJZ1UJam3rmm1Pktq60MgOCOGlqjSb8Kj6hyM2lb0sl7LcXXg9ThDHdH48fAMh1EdHVrirKyjcvYoOwya1eCABkPnHD+TtWe5/rFJp6NF3CpEx3U8q3zBTPEZtOIWVeymzH2JEl9vIK9vB7txfEAgsmlj6hY5HrwpyOFQTKIrC4ISrWZfz5Sk7htQ2nPHBhMdho2TvBqK7jWjpokiSdAydoWaYZHVlYdDBRHneHvat+xpnVTEqtRaN3gSK6piAQhz+/5jHKMT1PIfoLsNO+hxOlq0sh7w9y9HozIwY8w+E8DbbPBQqRc2ILrdT5Sxi/b7PWbbjVaBm1Efn+LFElZ+e2tpwQ+wpP4bU+p3xwUTGLx8BoDW3nml7Jak9OLhrCWqNgciEXkHnYSs5iLOqmNT+E4ntPLLBfg9NnWfidKquLGDr4v9htiTS7axbUNwKitK8H6katR6LKZFhnW6i1JaN1+ci3tITvTYUKvJPnIEknSZndDAhfF6qy/KwduxLXN+xLV0cSZIOc1QVk7dvFcndJ6DVB7ZI1rGi04eQ9cdc1DrjGdGBsqm8bgd7185AqzfT85y7UWv04A5yhrgmCDFEE2KQywlIZ64zesBxWdZ2vE47sX3OkWOjJekMUpi9EZVaQ0Kns08qH43WiEZvJnfHMnzeU/dl3Nzy963GVppDpyHX1AQSktTOndG3AmUHtqIxhGCKTGrpokiSdIyKgr2ERaWh1uiCzsNenkdR5u94nDaE14PweaCV1E6U5GxHZwzDFB7f0kWRpDPCGf2Xa03tRcne9VTm7iEsoUtLF0eS2j0hfOTs+ZXywr2k978q4P1d9nKKDmykKPN37GU5qLVGYjoNJ6HbaNRawyko8anhqi7HaS9l34av6TL8hpYujiS1uFMfTGgDH3/uCqvpbGXo0R0WQbWvEkPYiTtgqZ0BHwoA4Quuc5fTEvh+1VGnt7lGawtujQFtdeD7+YJcaCrYRcx8QdwUO4Kd9yzIpRqCXVjMqw/85FTuE6epVxPPzV6QRd66+VRk7SS6zyhCBw3Frmp4oa+aBfoKcZQX4iwroPLQXqpy9qKo1YSl9qTDsPMIS+nu7yvhaDAn8AU5jYW6sUwbYXQ2fFEO7VqC01aM2ZpESs/zUQ4n9emD+9u2pQXXudzdO7gZLkWAxfS6HLAvqENJ7cgZXTOBoqCo1Hgd9pYuiSS1a/bCg+z+Zjq6ECsdL7iZ8A496wRKwuejPHMrxbvW4ijNw1VZypFIRa03YopKJnnM1VjS+qDWnxlrZwRKCEHu3hVAzSyVOmM4QvjwuB2oaT01K5LU3M7oYEKl1mBO6UzhhiWEpfdCFx7R0kWSpHapMnsXKrWW7tc+gnJcbYTP46Jk93oK/liKs6IIc1xHLGl9MVii0YfHoLfEoDWGAIHfFZ9pFEWh7/gHKC/Yze41n7N3/SwM5ggO7VqMKTSWAWPul53FpXbpjA4mAJImXM3Od5+idMc6Yoed19LFkaR2SRcWgc/jonDzcqJ6jUSl0eJx2CjavpLCLcvxOG1YOvYhddwUzDGpLV3cU6K8MAO1Ro8xLJao5P7k7FlB8cFNdOx3OQD2ynxKC/cQEdO1hUsqSaffGR9MqA0mVDoDlfu2y2BCklqIJb0fttx95Kz6gfyNi9CHR+MozkEIH5FdhxDTZwz68LrLY7cVQvjYtuxNAMJjOhMe3YmqkgMA7N/0rT+dvTJfBhNSu3TGBxMqjY74MZdxaMFM3FXlaEPkTJiSdLopikLS2VcS1ftsSnasweOwEZ7cjcgew9EaQ1u6eKdcZfEB/+/lBXsoL8yo9bzeHEl4RAei4oOfDVSSWrMzPpgAMEbVjOV2lZfIYEKSWpDBEkPC8IlA8CNVWpIQgvIDWwmJS0NjqJm5U/h8VOVmUH5ga02Hb7cTT3ERXo8Tp60EgcDjtKHRGvH5PCR2HUtZ/m4qi/cDkDbgKvb9/jUFtmLSe13SkqcnSS2mVQQTVdl7UTQ6jLGJLV0USZJaM+Fj/4IPAeh+9d8p3rWGkt3r8VRXotYZ0BhD8boceKor0epDMIREExKRTIglkfDYzugMYQCEx3SiIHMtUcn98fm8/uyP/V2S2pNWEUx4q21oDCZUJzHbniRJ0rEjUXZ89Syo1OhM4WjNFnxeD87yQv/zbmcVbmcV1vhuRKcOrJVPWFRHwqI6+h+PuOq/qF2tsKpGkprJGR9MeB12CtcvRn14aJkkSVKw8jctrvXYGBGP21aGz+3C53HVei4ysQ/RqYOwxnc/nUWUpFbpjA8mCn9fBkDcyAtauCSSJLVmOWt/In/TL7W2VRcdPPybgikmldCEzoQmdiLakCbni5CkAJzxwYT9YAahHXsQ0Xt4SxdFkqRWrCp/f63Hsf3HY7DEoguNwGCJRmM4WvuplMgmC0kKxBkfTOjCI6nM3EF1YQ7G6ISWLo4kSa1Ux/E3UrxjFbnr59FxwlQsHfu0dJEkqc044+vxYoadi8YUSsaMV6jK3tvSxZEkqRXwupyU7FiHz+vxb9MaQ3BWFAMQEp/eUkWTpDYpoJoJxaBHUU79iApj4dEV+4xE0Gv8X9i97AMOzHmPHuf/BZMlrt797NHBLT+pCrJ+Jphx9t4gVz8UDS/O2ChNdXD7aW2Bn5xPHeSqocGuNhpEKOwNdi2mIK9/kIuN4grieKogV80NdrVREcTfTbCrfzb1tfZ53Ox+9mH/49CpndEZLTV5+HyU7F4LgCrMTGPv8MrkwN9cQhXkvVmQLSqqIPdTB/iZ4A3y71pqX874mgkAlUZL59FT0RpCyd22+MQ7SJLUbgivl+qcLITXQ8arT/m3R40+H12Ixf+4YNNSAFRa/WkuoSS1fWd8n4kj1Bo94QldqczPOHFiSZLahYodf5D73ecIjwe10Yy32gZA10eeR1FroKwmXdHWleSt/BGAjpfc3kKllVqTzZs3Ex8fT3R0dEsXpVVoFTUTRzirSmv1uJYkqX3yVFWQ9flb5Mz+GOGp6RfhrbahMhgB2PPi/1Gx4w+8Lgfl+7ZyaOnXAPS67T+ExHdsMF9JAsjPz2fIkH48dJ/sW9NUraZmAiA0No1Dm+fjcVWj0RlbujiSJLUQZ2E+9v27/Y8tA0cQdda5KDode154FJ/LSc7sj8k5/LwxJpkOF0xFrQ+204zUnrz6THe6d9Yxc04VTx86RGKiXMrhRFpVzYQloRvC68FecqiliyJJUguw7duNu6IMtdlca7s5rSua0DDUegOmDp3RWiII6zO45kmVio4X3YIu1NoCJZZam6qqKt78uJz/PhnFeWNMvPKf3i1dpFahVQUThtBo9CGRZKz4jKqiAyfeQZKkNsNVUkj2F29xcMY7aI6bXl8bdjRQiLvwKryOaio2ryOix1C6Tf4bWnPY6S6u1Eq9/0oaaSlaxowwMu1uK+98Wk5FRUVLF+uM16qCCZVGS4/z70MfGsnOX96iNHsrQgQ7+E6SpNbCU1XJvjeeAcAy6Cz2v/tCrecz338J3+G+E7qIaAxxSQBE9hqJ3hpzegsrtVoej4dX3ill2j1WFEVh5BAjvbrpePtF2XfiRFpVMAGgNYTSddzthMaksWfZh+RuW9TSRZIk6RSr2rvD/3v+vK/x2m110lRsWe//3RBfE0yUZ/xx6gsntRlff/01igJXXHi05uvBu6xMf7cMl8vVyJ5SqwsmoGaYaJdzbiU6fQgHN81j38qZCJ+XioytVOcfpLrwEO6qcnweF0LIOfYlqbUzJqacME3e3K8A8LmclKz5FYDwzv1PabmktkMIwQv/mcr9d1jRHDOR3iXnmTGbFGbOnNmCpTvztarRHMdSFIXYbmdTmLGWon3rMIbHkL1xbr1pu93xTzSm0NNcQkmSmos+Oo6Otz/E/ndeqPNcwhU3kPPtZyB8lKz9FXvmXvB5ATBFyfV8pKZZvHgxmQfdTL2mdv8alUrh/jusvPDMbVx//fUoipwRtD6tsmbiCLXWgD40CqBWIKGzRKE2hqDSGYjoMwKVHEYqSa2ePiaelBvvO2ZLzYe6PXMvKdfdBUDBgjlU7d4KcFxaSWrc8/++hLunWjCb6n4t3jAplIIiLz///HMLlKx1aLU1EwD6kAj6XvoILnsFm775p3+7tecQooeMb8GSSZJ0KpiSO5I69c8c+OhVjqx8omg0+FxHFybRWiOJPe9KTMkd/TNgSlJjNm/ezK+rq/n4tdh6nzcYVNx7s4UXnr6SCy6wn+bStQ6tumbiCJ0pjITe5/of5//2E57qqhYskSRJp5LadHSeicqdmylccrRmMmLYOYR06tYSxZJaqRf+dRY3TAolJqrh++s7bwxnze8ONmzYcBpL1noEtmqoVouiCnDZv8Ntl4EIzXIEvE+Kvgc5LCA8pSdqvQm9XY3ac+L9AGxJAR8OAI8p8GGpPn1wQ1mNucHFfcGu5OkLYiVPJchRukrgbxEguJVUXZbgCukNb+KbqZkozsBfb3V1cO8RTVVw75FgXu9gVnoF8AoPmc8/hddW9yZBpdfjLMgFIPqSKwkdNBTv4fdGdZCLHAfznlQF+RZRB3mjqwT7lgz0NWgTt5wNy87O5qvvq9i8pPFOvpERam6+Nozn/zWGL+dUnqbStR5t5m1iNkWjNYXhcdhIHn4ZatlPQpLaDEWtxtghrd7nzD16AaCLjsUydCSKOsj14qV26ZX/9OHCcSY6p5048vzr7VbmzLOxf//+01Cy1qXNBBMAaeOn4ijLZ/PnT7Dr++lUl+SceCdJks54iqIQf+1UOj/9Eh3/9jgc06O+dNkidNGxxF93UwuWUGqNysrKePezCh66p2lTrXdM0XL5hWZeeloOOT5emwomzDEd6Hb5AyQOvhhXVSk56+e1dJEkSWpmmnAL6U8+hyG1ZvXPkJ59cBXmY9u9s4VLJrU2b/23E3176Bg2sOk12dPusvLBFxUUFxefwpK1Pm0qmADQh0YSltwdr8uB1hze0sWRJOkUUGk0JN9+H52ffonYqyYDUDR3TssWSmpVnE4nr75XxoN3B7YA3IA+BoYNNPD6c11OUclapzYXTAA4ywvxeVxEdRvR0kWRJOkUc5ccvUN0l5W2YEmk1uSLL74gPFTFxRPMJ058nAfvsvK/D8qprq4+BSVrndpkMGGOSUWtN5K55FOclSUtXRxJkpqRu6SYzFeexVNZQe4XH5H12n/9zxX++G0LlkxqLXw+H/999k7uv9OKShX4aKbzzjERF6Pmo9c6BLTfm2++SZ8+fQgLCyMsLIzhw4czb97R5vhvvvmG8847j6ioKBRFYdOmTXXyGDNmDIqi1Pq55pprAj6H5tYmgwmNwUzXiX/B5/Ww9+e38TjqLgokSVLrZN+fgbuwgP3PPknVts21nrPt2Iq3Wk4qJDVu3rx5FJd6ue7K4JZZUBSFB+608vLbpXi9TR9HnJSUxLPPPsv69etZv349Y8eO5dJLL2Xbtm0A2Gw2Ro4cybPPPttoPrfddhu5ubn+n7fffjuo82hObTKYADBYYuh8wR14nXb2LfoYn8fd0kWSJKkZmNI6Nfr8oQ/eOk0lkVqrF56exH23WDAYgv8KvOayUOzVgu+//77J+0ycOJELL7yQLl260KVLF55++mlCQkJYvXo1ANdffz2PP/4448c3PoOzyWQiLi7O/xMe3vL9A9tsMAGgD4uiw5jrqMrbx/4ln8oaCklqA7TWCDr983nS/u9pOj31AqZOXWs978w5iAjgblFqX9atW8f6PxzceePJfQHrdAp/uc3Cc/+eTEVFRa0fp9N5wv29Xi8zZ87EZrMxfPjwgI79+eefExUVRc+ePZk2bRqVlS0/iVarXpujKcKSupJ69tUcXPM9e356g5Szr8EcndzSxZIkKQiZrzyLu7DA/zjm0kmYunbHvncXapMZbXQMjgP78VRWoLUE1ktfah+2bt3K0AEGrJaTn9zs/LEm/vFsRZ2agSeeeIInn3yy3n22bNnC8OHDcTgchISE8O2339KjR48mH3PKlCl07NiRuLg4tm7dyiOPPMIff/zBwoULT+ZUTlqbDyYAIrsMwRiZyN55b5G59DN6XPV3uYysJLVCpk5dKD8mmCj4bhYA+vhEIideTs47/wNAbQ68h77UfjTXx78C6HQ6CgsLa23X6/UN7tO1a1c2bdpEWVkZs2fP5sYbb2TZsmVNDihuu+02/++9evWic+fODBo0iN9//50BAwYEdR7NoU03cxzLFJlITK/ROMsL2TP3dYTP19JFkiQpAMLjoXzVCgypHdFGRgMQf/0txF93E87cQ/5AQtFqUWmDXJRDahcE4GuW/2oWqDkyOuPIT2PBhE6no1OnTgwaNIhnnnmGvn37Mn369KDPZcCAAWi1Wvbs2RN0Hs2hXdRMHBHbdywep52CLUvxed2oVQ2/4JIknVkUTc3HlePA0XUR8r/6DEPHToT0H4TGZCZywoWotAEuRii1O0IIvOLkbyh9nHweQogm9bFoyLZt23C73cTHx590WU5GYMGEVguBrhoaxB+2uiK4CxuWdeI2MJcqiQLAuL8cg8ECgMcU3F2MI80V8D4qTXBvvmphCGo/tSO4+jxnWOCVVsGs4gngDLJp25YW+LKJSalFQR0rJTS4yZAqXMG9bvtLIgLex1YUZNV+kC+c4g38vSXUwa3aWrbwF7RRUVjHjad00S/+7T6nE/vObaQ//+LRbRw9hkoEuSJqMH+mQa6aK4K8pfME+fcW6Ll55bppzebRRx/lggsuIDk5mcrKSmbOnMnSpUv5+eefASgpKSErK4ucnJp1pXbt2gXgH7WRkZHB559/zoUXXkhUVBTbt2/nwQcfpH///owcObLFzgvaWc0EgEpVc8qFeVsIs6SgoODzpKLSyLsZSToTCa+XkvmHJ/ZRq1GHhuI9pvd62rMvtFDJpNbMF2z0dxJ55Ofnc/3115Obm0t4eDh9+vTh559/ZsKECQB8//333HTT0QXrjkxGdaRDp06nY9GiRUyfPp2qqiqSk5O56KKLeOKJJ1C38Gq57S6YCA1LItzakYzdc/3blN+1aIwhaIwhRPY9C2vXgSiqdtOdRJLOWK7cXApmzgDA2KkzcVNvRqXTIbxeqjMyMKany79VqdV4//33G31+6tSpTJ06tcHnk5OTWbZsWTOXqnm0u2BCpw+h36DbqKrMRVHU+HwectSZeJ02HMX5HFw4g6qsXSSecxVqXXBV1JIknbyS+fMpW7gAbWwsSX/+K/qko0O6FbUaUxe50JIUHIFolv4OzVG70Va0u2ACwO22s2H1axhNUbhdVXg8DgBMCR2JP2siuSt+pHzPH+gj4gBBeHpvYoee17KFlqR2wOdy4S4qAiEoW7gAgIR77kVjMLVwyaS2RABe0QzNHM2QR1vRLoMJtVpHbPwA8nN/B0BRaxBeD7oQC1H9xxCW3ofKzB04inLwOGzkr5mP1+0kqvdIdOGRLVt4SWqDvJWVlMyfT+W6tXDM7JUaqxW1yUQz3ERKknQKtdtgonvvq+nU7WLstiI8Q9NQlKPtrvrwSPR9zwLA5/Ww9fW/UfT7Uoo2LiN2yLlEDxiDSiuHlUpSc3Dl5pLz1lvg8xJx3nkY0tIABbXZjCZSBu/SqdESHTDbsnYZTByh1ZoIt6RQojTcgatg3S+YE9KI7D0CR3Ee+esWUrJjHakX3AjEnL7CSlIbZNu6lcKZM9BERBB/2+2oQ4NbxVGSAiEArwwmmpXsBn2YoziPzLkfYs87UGu77VAGtpx95P72I3EjLqTrdX9HYzSTMetVbGu3tFBpJan185SWkv/Rh/gcDuJuuVUGEpLUirXrmoljeR12KjK2oAuPxBSX6t8eN+IiKg/sRG+JAkBviSL9qvvIXvAFxe9+jS41AW2srIqVpEB4KiupWLMGAH1KCpozYAllqf2oGc0hayaak6yZOMycmEavu58jfuRE/zYhfGTMepWCtQsITe3u365Sa0ge/ycUjZqqX9e3RHElqVUSXi/u4mIOvfQiZb8sJHTIEOLvuruliyVJ0kmSNRPHOH4WTEVRYek2iLKd6ylYv4iEsy85mlarRxNtpWrxGixXTqgzcY5we/BW2fFV2vBV2Wt+r7Ij7Da8lTZCRw9ElxJ3Ws5Lks4Uue+8jSMjA3VYGIn3P4A+MbGliyS1U80xNLQ58mgrZDBxAskTJhPdfzR6S3Sd57TJ8bgyc8h/9j0Ujbp20OCoZ90ORYHDbz6VQS+DCalNEz4fzuwsin78HkNSElVbN+OtqEBjsZL4wAM1Qz4lqQXUrBraPPlINQILJox6CHClTWEKfAil0AY3x7i2PLgFwkKzGz9eGHGQB+CttT3y2quwr92CJ78EfccUNCmRqMxm1CEmVCFmVGZTze/mw4+NBoxlm9n19y8o+3YJ7h27sA7vgmV4F4zJjfe7KMoLcjbO4NY5wmENfEd3kP3nnFHB/VnHJgW++FaHsJKgjpVZEfjCWwD5pcFdFE9p4K+32hnciy20wX0k+nSN71cy5wcqFtdM/evMysQ8ZBDm3r0x9eyBolIF9EGsBLlgXdCLbwVxuGAXuvMFeWqVu7dSvHoJCRMno7NGBXDAwI7jPXESSZI1EydDUasJPWcEFfOXYR7aH1P/XifcJ6xvKv2/+itla/dSunI3OV/8xsEPl2JIisAyvAvW4V0wd01AUQX5CSNJZwh34dEVWqNvvgFzvz4owX5zSrUIn5eDsz6oeaDIaxqo5hoaKgOto2QwcZIsl52Pc18W5XMXYejWCZWx8TtKn8uDOsRA1LjeRI3rjc/ppmJTJqUrd1O0YDN5s1ajtZoPBxadCe2TikonXyapdfFUVFC9Yxeo1SRM+wu6xISWLlKboqjUpN74ZzTmUHQWOZpMannyW+okKSoV4ReNo+Dld8l54kUS/vUQKr2uwfS/T3oZ4fKQdMs5xE4ciEqvxTK0M5ahnRFeH1U7DlG6ajdlK3dT+NNGVEYdlsHpqFMGYOreHZXR2OznULpjA97qqiNnVHOnoxz9XaHmscYcRmhaTxR5JyQ1wrEvk7xX/gdAwiPT0MXLvkGngimpQ0sXoVXzNkOHB5/sNOEng4lmYOzeGV1yAq7sHITHA40EE6G9k6nYsJ+D7y+hcO5GUu89D0WlonJLFpHjexHaK5nQXskk3zqW6sxCylbvoXTVbuy/fg5qNcZO6Zh69cbUsycay8mPzfc4bBz8+XMAVFpdTf9QcbhRVQgEoqZOsOYJYkdeRPSQcSd9XKntKp45C4CYO26WgYR0RmquDphyyZijZDDRTMxD++PKzsGVmY2xZ9cG04X2TKZySzZpD02k4Mff2f2PL/3P5X61ik6PX4llSCcURcHUMQZTxxgSJo8kb6Ua+9Zt2LZupfjbbymePRt9SgqmXr0w9e6FNiYmqBoD4a35c0i95GbC0o/2+agv4M5bMZf8lfMQPi9RA0fL9UmkOrxVNtx5+QCYevZo4dJIknS6yGCimYSeMxLHrgwKXv+IuGl3ok9LrTedq6ACY2oUEWd1wzqyKxW/78eZX451RFd2PPAxe56YhfWsboR0SyByXC+0FjNQs3pi2NlnEXb2WXjtdqp37MC2ZStlv/xC6U8/oeh0tYaeAjW/+2sVjlfznPDVdCFSVCfuih474nzweSlc+wvluzaSfPFUDJGxgV4qqQ3L/e8rAMTefXvLFkSSGlHTAfPkm2tlzcRRMphoJopWQ/RdN5D3/JuUzppL3MP1z+rnqXIc3UdRCB+Y5n/c+YmrKJy3Cfv+ArLfW0z57/vp+vQ1dfJQm0yEDBxIyMCB+NxuHHv24C4sxD8O9Ji/EX3ZkQfKcf8c+UVBUWswJ3c68Tmq1MSNugRLz6Fkz/2YfV++SsrEmwhpwr5S2+cuKsZTUjNc15CedoLUkiS1JTKYaEaKRoOxT3fKf/yF6u27MfboUieN9ayu7Hv2O8o37KsVSAAYU6NJuXMCAOsueAZXYcUJj6nSajH1aLg6OSS7+TtLGiJjSfvTfWT9+DEHvnmb2LMuInLAKOTs7O1b9Y6dAERcfQWKVn60SGcw0TydJ2UHzKPkp38zCx09HEOXNAqmv4/rYG6d5yNGdceQFEHpil2N5qMOMRAxqnujaVqSWm+kw2W3EdH/bPJ+/Z6Mz1/Ctm93SxerXRFuN5XLV+Nz1TPbaguw/1Gziu6pGHEkSc3pSDNHc/xINWQw0czUoWZi7rsZhMCVebDO84qiYO6aQNXOQ4hG5nUP6ZFE8aKteGyOBtO0NEWtJn7UJXS8+l5UOgMHP3ubql3bWrpY7Ubl8jWUfD6bsu9+9m9z7NtP1v89RcmP8wBwHsiiat0G7Fu3IXyntoU39OyRAGgig5stVJKk1kvWRZ4CilaD2mqhYtFy9F06oo2pPdVtaM9kihdtRbi9KA1MSJV61wS23v0+hz7+ldS7zz0dxQ6aOTGNjpPuJvPH9ymY/y3mTt1Q1EHOLdyOVe/IpOy75WgTowkbdz4qowF3YRFVv67GU1yKY3cGmkgr6ggrwunEsXMPAJWLlqOJsFL+4wJ81TXBZ/nCRdg2/O7vwwBgHtif6CnX4DqUgy4hHkXTvH/+xu7dQKXCfSgXQ4f6OyBL0plANFOtgk/WTPjJmolTJOrWyXjLKqj8ZUWd547cISrqhi+/Ps5CwrUjKZj7O66SqgbTnSkURUX0+Itxl5VQvnldSxen1fGUVZHz5Pu4svIp//E3su//Pw7c+RB5z/2PisUr8JSVEzJyCJ6iEqo3bsGVnVOrwbZ01vf+QAJAGx+PuV9fLOdP8G+zbdhI5gMPk/PidCpXram3HMLrxV1UhOvw8M5AqHRatHGxOPbtD3hfSZJaN1kzcYoYOndEl5qEMzO7znPmLvFAzbwS8deMaHB+iOjz+3Hw/SWUr8tASelwKovbLPQx8RhT07Ht3o6l/7CWLs4p5612kTtnA5FnnXihthPxFJXV/FtcXmu7r8oGgDo0BOe+A6jDQgk5ayjGXt0o/WE+hvSOCKcTY58eGONTUBnqTuduveA8hM+HY89e8t54B4DyxUsJGToElU7rT+fKyyf3tTf8xzR264L1ogvQpyQ3+TxMvXtS+etvCJ8PRSXvVaQzly+Y1dxOQR5tRUDBhDAZEOrAJirymhqeDbIhPkNwVeQqV3Btwhp7cMu1RK3RNvp8hcNMaeZuwpfa0RprVo8sDg2B6M5YrjiHQ58soarIi3XSOFSG+q5rCPrOKRyauYa4x88Kqoe8xxRcvKgKok+fO1ygTU2k6vffcersJ+yI53O7sW/fTtXXS3EXlmPu2xGtJQSBwFtuJ+qy4eiTGl4N0Wq0B1zG9Yea/sV4hPD5cG4WuPJyMXbu4v+SzP/4Y2xbNpP9xVqs552HcDhQh1swdeuGJrxmdlK1U8FTUUHx4vn4nA6sI0ZhSK7bBGCiK6l/eZjKLZtQm82U/bYMd0kxAJqwcGLHXELm9GcA6HjXwwCEX9e5dibOwz/1UqGL60bYUy9Runo5hT99y4GHHqHDXx+jMnsHtj8249i7F4DIKy9HZTJTtmAhudNfJ+7uOzF07Fg3S3XdPj/GLp0pn/8LrkO56JMT6+4TZLcNJdhe88F+1p/GVUNFsDFXkNck4MO1wZiw+eaZkMHEEbJm4hRKGX4ZFQd3sPOH10gedinhyUeHcEZMGg9A2fe/4th1gLi/3VDTafNQAYZuHfxfWNG3X87Bv71K2ZyfsU66uEXOIxCWUaOoXLOGgpkzib7mGtQNBBTC5yPv3XdxZGSgjbNi6pGCM7MAW8V+3AU1d+cVq3fS4Z/XYUyPP52nUEfRJwso/WEVAOFjxmDo0JHKdWuxb6vpbCqcTkrnz0el0+GtqmmSMvfpgyEtHZ0xjLyvPquZZh2o2ryR6IlXYEhMRheXgEp7NCDVxcRiPXsMilqDzhrNoU/eBsAy9CyUw+n0iSknfT7WYWdT+NO3AGS+8rR/e8Tll2Hs1hVdTMzhc+hN7ptvk//BRyT85c9oo05c+6LvkIrKZMS24ff6gwlJktokGUycQhpDCN0u+StZK2eTsfADLB36YIgdiLF3OoqiEDFpPOaB3cl95iMO/v019J2Tsa/dTujYQUTfdjkAuqQYIq+7gOJPf8LYtyeGLvXcIZ5BNFYrMZMnk//pp2Q/8wyx112HsUvd+TZsmzbhyMgg/s47ibwgps7zngo7mY9/Rsa090i46yIizh1wOopfP83RW87ypUspZym6hAQsE85Fa7USMnCgv8Op126nauPvVK5ejW3LFjgyguLw7KTa6FgKf/gGgKiLLsM6YlStQ2W+9AzeyqPzi5g6dSWkZ18UjZbIc87DOmJMs5xS6r1/o3LL75Qs+wWoCSTCR51dK42i0RB781RyXnmV/HffI+7O29FYrY3mq2g1hAwfStXKNVguOBeVXk65Lp15ajpgnnyVixwaepQiGhufeFhFRQXh4eGM6/U3NG2wmcMd0nhM5XJWgqKg04XU2l6V1HgzxxFCCEr3beTguh9x28oJO3cokTde7K998JSUkz99Jq79OQh3zR1s5E0TCT+3pt+Bz+3mwC3/rlnO+em/oQ4LbfK5mTNPXzNHddzRt5KnvJzCGTOo3rMHXUICoUOGEDpsGCqtFiEEOa++iqLRkHDPPZg6ldebn/B4Ofjq95Qv30r8recRceHgWv1LEsLr368xmcWBD1ss+nwhJd8c7UibcN+fMaSeeLSC8PmgrLpmwTSvl6otmwjp1RdXfi45n7wHQMp901A0Ggq+m41wO3FkZ9WblyG5A/FXX482vPEv82C4Qxv/CHAXFJL75lsIt5uY66dg7Fqz9oyop5kDwFNSysF/PYv1ovMJH39OrecUT3AfvmpncPspwbVgogTxURLMPkDQzRVBN3MEeE28Tge7//so5eXlhIWFBXfQM8iHH37IG+/fzf8+P/lF6PbvcXHb5RVUVlY2Q8latzbYGta8hPCxfuUrrFryb3xed1B5KIpCRPoAev/p/4i6+RIqFq6l4H9fIbw1f9WaiHDiH74RdWQ4yuG+E8Uf/oDPVXO8yiUbEG4PwuGkakXrGCmhCQ8n7vbbibn+erTR0RR//z0Hn3uOitWrKf72W5xZWY3O3AmgaNQk/eVSIi8aQu47P1P8ff0jEE6lqnW7/IGEoXMX0v77YpMCCahZnl5jDkETEoo23IL1rDFoLVaMaZ0I6dUXgKzX/suBl5/FXVLkf70NqR1JvOEOwgYM9eflyM6kaOHcZj67ptHGRJM47QH0ycnkvf0uZQt/aTS9JsJKyLDBlC9ais9x5s6TIklS85HNHCegKCr/HUBVZS5hluDbrBVFIWz8UNThIeS/OpMCFGLunYSiUqEyGYiccj75L36OKsQIahXC4QKdluqtGSgmI8JeTeWiFZj690IbX7dp4EyjqFSE9OtHSL9+uAoLKZk7l6KvvwYhiLz0UsJHjTpxHmoV8beeh7faSeHs34g4fyAqfdNqhE6G8Hgp+3ktxV8uQZcai3XCJZi7dWuWvFVaHfGTb8TnduHIysSZl1sTXPh8lK9dSdjAIeitMZg7dcVbWYFtzw4UnZ6IUeOb5fjBUJvNxN52C2XzF1D60zw0UVGYB/VtML3l3PHY1m6g9Md5RF51+WksqSQ1TXM0UchmjqNkMNEEfQbdQk72akJCm6cjoHlIT2Lu+xMFr35JgQLRd1yBSqfF1K8rIWf3o2r5JtQRYTVBBaAy6hH26prf9TryX3iThH//DZWp9UxbrIuOJm7qVDxlZQivF21kYEMpo686i/KlW8j/fAnxNzffJF6OjBzKF64nZEh3VCY9aksIjj0HKf5qKe68EsLHDyTqugmIgoZHlQRLpdVhSu+CKf1on5Ko8w53sj1cFR13xWS8jmo04VZUzTzJVKAUlQrL+edh374D+5YtjQYTGqsFgMpff8PUuxfGrp0bTCtJUusng4kmCAlLoEvPK5o3z6G94D5B4Zuzybd9TtzDN6Jo1MTcPQnTwO4UvDKDykXrCB03mOjbL8fQoyfC50OflkruP1+m8M1Pib53Kip94H1SWpLGYglqP318BLE3jCXvg4WEDemCuVeHZimPI+MQ5Qs3UL5wQ63t5oFdSHjwavQdatpVPc1ytMCpzSGozSEnTniaKIqColb7R5c0Rrhrmm3yX3+blOf/Xe8cGJLUEgQK3qDH5B7la4Y82gp5JU6T8uwdVObtq7UtZFhvou+6kuo/9uDKyvNvNw/pibF3J4o++J7CN2ejqNWYBvbBPLgfmkgr0XffgHPPPnL+/h+qt7WfxbUiJw5D0Wspmf97s+Tn2J9L4Ufz62xPeeEOEh+d4g8kpKOEz4enpAR1yIkDnJARRycuc+UGPqOmJJ0qAvChaoYf2cxxhAwmTgPh87F3wXvsnvs6nrLjev0enhJZHWryb1IUhbi/34hpUHds67bhc9QeWmHo1on4p6ahTU6g+P0ZeCvaR09iRaUQdekwyldso/CblUHn4ym3kffaN2RNewvhPNqpttOMf9Bl9j8xpCU0R3HbJMe+/XgrKzH16X3CtJZzx/l/16ckncpiSZLUwmQwcRo4Kgr9v4vqo1MUCreH4k9/QpsQjSYivNY+ikpF2LjBCKcbV2ZOnTy1MVFE3XotKAoFL76Dff1mnHsz8R3uW9FWxVwzmqjLhpP/8S/k/rIzqDyqt+6nYukf/seWC4fS+asnak0tLdXPsadmcTFHxr4TjtTQRBwdxlqxdPkpLZckBaZ5lh+XHTCPkn0mTgOjJZZul/yFkoyN5L3wKZrIcLQJ0VQsXANCoGjqn1fD2DMdAPvWDMKS6nZgU4eFEDvtTore/JSitz/zb4+4cRIhZw0+NSfTwhS1itgbxuEuKGfnq8sI6xyDObXpc0fkTp9N5a+b/Y87/O/P6OJPbl2N9sSRmQlA6Q8/UvHbbyQ/+Vij6eMfuI/cl16j9LsfCRs7GkV++EpSmyRrJk4Tc3QKpshE3LlFVG/NwLZuGxyeL8xTVIavuu6iCopWQ+i4wZR9s4SyOfP98xAcSxsfQ9w/HyDu8b8SMXUSAOrwpk9q1RopikL8HRegizCz+o6ZHPxxa5P3PbY5KfaeS2UgESB90tHmClUTOmHqO6SiHO546diTccrKJUmBEAK8QnXSP7ID5lHySpxGEZ0GEvPXyahMBlCpiH/iNmL+fA0R112A0sDcCVE3X4L1inOomL+Uko++qjeNoijokhPQp9VMpnRkMqy2TBNmYsj/JhE7uhPb/7sIe27js2EenLuV3W+tAPXRO+PwsS04RXcrZTn/PP/vcX++q0n7RFxWM9w1/39vnZIySVKgajpgKs3yI9UIqJnDbTEgNIEN7/IGMTW2TxfcC6RyBTsvbXC0tsCPFx05mPApaWT/8AnFr84h/YYHUMXrYVPD+5jSLoZzDZT98gviYJV/Rcrjqcxx6Dt2oGzGD+hD49DFxOCIDu6aGPIDfw1MB4N73SpDgxv6aEhyE3JOf5i/g8JsD6HhpgbTHvwlg4qNmf7H8U89gKO06e9lbZBTJfuCbEhUBTOdc5Bv/0CmgVartZj79cO2aRMKGhTfiV/z0CFDKZ75NQCiuApNSOA1Z0qwY3OD/Kw/nTecwU75HfS5BbifXGVbagpZM9ECdJZI4kZfjKusmB3THyHrm/dxV5Y1uk/osKEoGg2H/vsizqz6129QFIXoKVNQ1GoOPfsch174L5WrT/8U1KeTqWPNTKD2jLxG03WcdgnqkMPBg06LNiH2VBetzYq87DIUnY7yRYsRQnCi5X0UlYrQs88CwL5z++kooiQ16shCXyf7I2smjpLBRAsxp3Sm0y0PEz/+SmzZe9n91lMUrllUsyDUgd3s/fB5PNU2f3p1SAiJDz6Az2Yj93+vY99R/0gGbUQECQ/cT9TkyaAolHz3Q5tu9lCHGNDFWSj8aSMeW8OjC7RWM3FXHl7rop6+J1LTaUJDsZxzDuWLl5B5/zQy75/mX2K9IZGXX4ouJZmqrZsbTCMOL4h2RME3X7H3kQfY+8gDFMz9pmbhNEmSzkhyNEcL0luj0VujCU3vQdG6JRT8OpfC3+YjvDUfzNW5WYSmdfen11itRF5+OcXffkv+u+9iveACLBPqrteg0usJHTwIfWICh/77IgUffozaYiHsrJHo4trWHbmiKHT+59Xs+MuH5M1aTdLUMQ2m1SceHfUhvF7/suFS4CzjxuE4cIDqnTVBbdX6DYQMGexfCfd4ikqFqVtXKletrfOcMy8H++5d+FxOSpcuwtSlG66cQ3htVf405atXYNu5nQ5/fUS+blKzaI4ZMJsjj7ZCXokzgDbMStzYy4gdcwkR/UeSfMmNaEIt5P7yDY6C2nNMmAcN9P9eOm8enrKGOx7qEhKIuOxS3EXF2DdvIfeVVxtsImnNjMmRRJ7Ti5Jl2xHehu9ew/oeXe3TuXv/6Sham6Wo1cTeepP/cdHMrxCuxtetV5lM+Jx1a4/su3ZQPO8HShctAK8X+45teMrLEB4PkeddRPq/ngfAU1bC3icfwnNMkCFJwRAozTIDppBfoX7ySpwhFEVF1OAxxJ1zKWFd+9LxmntQ6XTs++wVitYuxmurafJQG40k/OUvhI0ZDYpCxYoVjeYbPmYUSX9/iKRHH0YIQc70/7XJ6uKo8/rgKihn89TX2f/yXNyltjppNKFG1JYwAMrm1J1GWwqMp7yi1mNFr280vbeist51RiyjxmLuWTOjprFTF6KvuJrkP0+j4+P/xjpmHIpGQ9oj//Knt+/e0QyllySpOclmjjOUzhJJ2pS/kL/sB/J/nQsr5hF9zTWEDByAPjUFfWoK3vIKbH/8QfjYc1CbGh7JADWLLglnzVwWzgMHMHTseDpO47Qxd0mg67NTKFuzh+JftlD8y2ZMabHEXzOS0L6pqM16FEUh9NyzKftqLq6MtldDc7ppIyNIeOAvVGfso/S7H/AUl6CNanjeDnd+PrromDrbFUUh/rqb6tnjqGP7Umgj5Nwg0skRgLcZhqk0Rx5thQwmzmAqrY748VcSPfxcDv72DUWzZ2NI64jGWjNNcejQIdg2biTrH/9HwgP315pQ6Hglc39CZTQSPWUy+tTUBtO1ZqG9UwjtnULcpOGUr9lD0S9byHj6GwAUrRpTeizafoNQtBqE24PP6Wp1q66eafQpKWgioyibN5+yBQuJnHRlg5NZuUtKMaWmBXWc/Dk1c6zoomMxBpmHJEmnjmzmaAU05lCirp6ESqejdP7R6nn1MfNNeMsbn7RJOF3oEhIw9eqJt7ISX3XbXcNDG24i6ty+dH1uCj3fuo20hy8l6aZz0FrMlM38HuFuqQXF2ya12UTE5ZdStX4DWf94gooVdRdh85RX4M7NPeEw0oaYO3cFIKRn35MqqyTVkENDm5usmWglVEYj5v79sP1xdGidNjoatdWColKjT2v8bk0bG4t9y1by3n6X6h07MXTpTPzdd57qYrcoRVEwpkRhTIkCIPaywRxcZaPylxVUb90tayWaUdjwYRg7pVP42QxK5/6EsUc3tBFHR8+UzV8AQGj/QUHlbxl2Nqb0rmgjIhFC4MjOxJCU2uDoEUlqjIBmmQpbTqd9lLwSrYguPh5vWRmuggKgZrhdzJQpeIqLKXj/g0b3DR8zCmOP7lQfnp/CsXsP1Rntb60EdaQF+x87MA+Vd7jNTRsdTeztt6DodZTM+d5fCyGEwPbHZsInjMeY2iHo/HXRMShqNfY9Ozj47mvsfWIa7rLSZiq9JEknQwYTrYgjYx9Qe4ElQ1oakVddhWPfPtyFhQ3tispgIPbmqST+7UGsF1+Eymwm739vUjjzK7yVlae87GeK8u9/AeEj7MKxLV2UNkltNqNPTsa+eQuZ90/DkXmAohlf4bPZUDRNqwgVXm/NvBMNLXF+TEtJ5ov/IverT5uh5FJ70lwzYHrlV6ifbOZoRarWrQNq95UACBk8iNKff6bg088wpKdjvfCCBjvB6RIS0CUkEDb6bCpXrqbk2zlUrV6DvmMH4u68HdUJhve1Zp4qB7blawm78BzUYcGtByKdmD4lGfuWmpVcc1951b+9qTOx2nfvJPeT90FR6PDw/+EqLqJk/jx00THETLwKc9cedP7XS9j27iLn47ep2rKR4shoIsedf0rOR2p7alYNPfn+Dm1vkH3wAgomXGEafNrA4g+vPvDIzacNcqEvd3CduxRvkPsF8U7SB1kr66o+XHugKBgLFRTl2GukI/Hcq8n+5gNcBw9iMkQT0X8EAPbE+gupqDWEjT0LdWQ4he99jHN/Jh5bBVpT1OH9Ar8mMeuC/OPcEVxMW+QMbIhg1doNCLeHsAHDUVcFdkzfiVfbrpdQB/dxE8xidypXcNc/2IWmFE/9x7OOOAeNKRxUaqr37Kbq93Voo6KJHHs+6oZnPPfTaA4PcxaCsiVL8FZW4Mjaj6sgj5ixF6MymgEITe1KzHmXUTB/Dq6cQ6jqmSU92NftdParC7bZPdiF3QI+N9nHUGoCWTPRSlTu3lLzixBkf/0BiZdch1p/dNXL0C69MCZ2wFVahD4qrsn5mvv2xnPpRZR+NxdXTi7a6KjmLvoZw7F7D7qEhAZXXZVOjvD5yJ/5OYbkZIp//B7UatQWKyEDBxEzafJxAXADeXg85Mz8AEWrwzr0bEpWLiXp2luIHH0+WmskquOaSgrmzwEgvP8wbBm7cBUXYBl8VpOOJbVnNTNgnqzmyKOtkFeilQjveXQa7aqM7ex+7Qmq8w7WSuMuK8bSaxDm5MDG4YePPwdtQjyF733MwX8+Q+Vvq4MewnemEkJQvXsvhs6dWroobY7P5aTw21nse2Qatj82Ur6qZmioMb0zyXf/mdirr23yl3vJyqV47TaE20XEyHNQ6fVU7dqGPjq2TiABEHPBFQDoomIoXr6Qgp+/pXxT214pV5LORDKYaCXUegNpt/wNbXjNcDvhcXPgi9cp27wWIWqq0vXR8VTnZmPPOUD+kh9wlhTgKS1r0rwKsXffCoCnqJjimV/j3NO2Rnp4ikvwlpZh6Jze0kVpcxSVGk1kNJZzxpF4z59J/us00p97iYRbbkcdEljflPD+Q/y/733uH/iq7Y0GttbBZ9HlsRfQRUYTd+lkAPJ/+Ap3RVlQ5yK1DzUzYKpO+kcODT1KXolWxBAdR6c7HyNx4hTCewwkpFNPcn6aSeanr1KddxBrv+HYszPI/GQ6xWuWsP+T6Rx8/N+ULVh0wrw14eGkvvIcug4pABR9MgNn9sET7NV6uPNrhtPqEhJauCRtj6LRYB01hsjzL8KQ0gGVLvj5OzShYXR54kWsw0b7t5WvX4k9c2/Dxz+8iqjOGklYn5p5LPa98lStNFW7tuHMzwu6XFLb40Nplh+phgwmWhlFUQjvOZDES6aQdMl1pF57Nz63m8zPXkVRqYk/fxKo1JhS0tGaw0CtRmVo2ggNRa0m4cE/E//w/TVDR194lYoly0/xGZ0e3tIyUKlkf4lWQFEUosZdiDr06GtVuq7xBe2OCOtd0xxo7tTNv81ZkEfuZ+9TsbHu8ueSJDUPGUy0cuaUTnS88a+EpHUn+5sP8DmddLv/aVIn303qlHvQWC3Yfv+jycPyAPRJicQ/9GdCx5xF6ezvqFxed3rk1sZbUYnKbPbfxUpnNpVWS+KkG/yP3SUNz6FyLHN6V7o+/hJJ195+TF469PGJmNJkfxmphkBplmYOudDXUTKYaANUGi1Jl08lcthY8pd8T+Zn/8ORfxCNKYSIqy7DlZVN8axv8blcTc5T0WiIuOISQkeNpGT2dzj3ZZ66EzgNfA4Hikr+4bcmxpSOaK01w39DuvZuMJ0jJ5tdTz1A4aK5CCGo2rWVff/7D15nzThUrTWClLsfxNylx2kptyS1RzKYaCMURSF2zMWkTr4L4fOSPfsDfG4Xxh7dsFx4Lra16yn7aUHA+Vovn4g+NYX8N97DdSj3FJT89PDZ7f7VVqXWo+N9j9Dp7/8hcvR5DaYRvppat5LfFpH98et4KitwlxRx8PN3TlcxpVZGQDMt9BXYV+ibb75Jnz59CAsLIywsjOHDhzNv3jz/89988w3nnXceUVFRKIrCpk2b6uThdDq57777iIqKwmw2c8kll3DwYMv3b5PBRBtjTu1M0mU34rVXUbx2KYqiYLngXLQJ8XjLGl9ZtD6KVkPMXbegsYZT/NnMgJpLziTeyipUoXLWy+bktVVRvX8f1fsycBcXI3w1o4qEp/lWZVVUKtQGQ6NDS41JHej892fQRkShj0skfOAwABwHM/E5mzBLltTuCKHga6afQCQlJfHss8+yfv161q9fz9ixY7n00kvZtm0bADabjZEjR/Lss882mMdf//pXvv32W2bOnMmKFSuoqqri4osvxtvCn81y0qo2SB8ZQ2iX3lTu3YbJN5aSb77HdSCb0JHDgspPZTAQed2fyHvxf+S//g4xt92Eymg48Y5nEpUKhJz8Nlje6mrchQV4yspwl5RQvWcX1Xv31sxLfJii1SHcNU1p+pQOKCoFn9uNMa0TEeedj0p76lZpVen0pN37aJ3tGf9+lLTH/oPa0Mrer1KbNHHixFqPn376ad58801Wr15Nz549uf766wHIzMysd//y8nLef/99Pv30U8aPHw/AZ599RnJyMr/88gvnnddwDd6pJoOJNiq0U08O/fA5h/79PJ7iEiKuvJSQoYODzk+fmkLsfXdQ8M6HFLz7ITF33opKF+xcxaefotPhraho6WK0KsLrxb5jOxXr1mLftRMO1zwoOh36pGSir5iEPqVmGXBPaQmu/HyE10PVls0AaCIiweejfMUyKlb/BioV2vAITB3SsQ45G43FWu9EVM0h9db7OfDeywAUL5xLzMQrcRw8gMpkRhfRdmd5lZquORbpOjI0tOK4zxa9Xo/+BOsceb1eZs2ahc1mY/jw4U063oYNG3C73Zx77rn+bQkJCfTq1YuVK1fKYEJqfmHd+1OdcwCHu4yoa6/G0CmwWTHrY+icTswdN1Pw+rvkvfQasffegTrE3AylPbV8bjfVO3YSOmzIiRNLeMrLKVu+jKrfN+CtqkKflEzUJZdi6NARRa2matMmhNeDu6QET1kpKCrUZhOhgwajNpmxnjO+Vn4RE87DtmM7wuuhZN5cXAW5lK2tGeqZeO2thJyCjpGGhGS6/OMFDn3zCabONcNEs9+eDoA2KgZz1x5En39Jsx9Xan9cLhfhxw05f+KJJ3jyySfrTb9lyxaGDx+Ow+EgJCSEb7/9lh49mvY3kJeXh06nw3pc/6/Y2Fjy8lp2HhUZTLRRikpF3IQrGlzoK1iGTmnEPXgf+f97m5IZXxN9243Nmv+p4M4vQFQ7MPXp2dJFOeM5srPJ/eBdEILQAYMIHTwYfXzNRF+VG9ZT9OP3CLcHdWgI+AT4fHir7QiXi6pNG0m8+8918tRGRWM5u2YSqqghY7Fn7ObgF++Cz0fZupWEdOmBEIKCubMpW78StTmEhKtvxJiSdlJrbCgqNQmTb/I/to4aT+mvv+AuKqCsqICo8yaiKDVNMe7iQnTRsXLocDshUJpl9kqfUKHT6SgsrD10ubFaia5du7Jp0ybKysqYPXs2N954I8uWLWtyQFEfIUSLr0cTUDDhtKjx6AL7Ywt2BdBgBLv6IUG+CMGcm8cY1KEIdjhzsCtJeq0Nd6LTdYnFOukCij/8GlfpIXSJNQuLOS3BNXsYSoNbB0QcaNqHgd5uJRdQ76lAFR/c9fCEBBmUhdazlGUTiCBecFER5L3B4UP5qqvJ/eAdNNFRxN55C2pzTa2T2+mg9Id5VC5bgXlQf6yXT0QTFobQCKpWr6f44y8BUFlD8IR58drsKIqCylT3ze7Tq9AO6kJc6G0UfPo5tr072PvSEwivF+GtucZeWxXZH76OIT2NuLvvRFGrUTmDfB8bj75uYZeOp3LHJjyFRQB4LAIQlP64gPLDs8SaB/Yn+sYpQa3IqakM7sspmNWHIfjPhEDXzW6LUynUjOZojiXIa/IICwtr8j46nY5OnWrmPBk0aBDr1q1j+vTpvP322yfcNy4uDpfLRWlpaa3aiYKCAkaMGBFg6ZuXrJmQgmIe3p/iD7/GufeAP5g4U2lMIegiYqjOycTAwBPv0E658grw2exE3DaR6q3bsW3YhKe0FE9ZOfgE1ssuJmzs6Fp3QNq4WP/v7sIi8l5+C+fe/eDzkfTCkwA4MzLRJcWjiYzwpzV27ULyY3+n6veNeCurQKXgOpCFfcfOms6yHg+OjH0cfPYFEv76Z1Sak29OK/jgY38gkfTPfxwtS4/u2DZtxlNQiLugsOYuT06TLJ0mQgicTmeT0g4cOBCtVsvChQu5+uqrAcjNzWXr1q08//zzp7KYJxRQMKFX+9CoAwtrfadxoiCFIFe6DLKIwZybN8hjBVvpovYFd028nsb3E0JBMerRo8J0OK0xyFssrTrY163pF9NTVUHZ9g3EuycG1enP4w3y9tEd5LkFsZsSZBldJSUU/rSAim3bUQwG7MtXUrVjF/q4WEK6dEZtMBI2oB+GuJiapo3DhROKwJScSMi/H6V8zQa81Q6q9x1AObw2x6H/qz28Le2Rv2IIiTy6QacnZFjtEUbuikpKfltJyerV+Kqq8BQVkfXPf9Hlrw+ij4gkUN5jrknkoIF4unfDOnxYzQRmh58zpaYQ8chDNeckBIpPoASxaq4m2LfxaV6gN9CPIG+gVRmtQvM1cwTi0Ucf5YILLiA5OZnKykpmzpzJ0qVL+fnnnwEoKSkhKyuLnJwcAHbt2gXU1EjExcURHh7OLbfcwoMPPkhkZCQRERFMmzaN3r17+0d3tBRFNGGtaYfDQceOHVu8g4ckSZJ0+sXFxbF//34MbWCI7YcffsjT7zzELe+ffIfs/L2VvD9lE5WVlU1Kf8stt7Bo0SJyc3MJDw+nT58+PPzww0yYMAGAjz76iJtuuqnOfsd26HQ4HDz00EN88cUXVFdXM27cON544w2Sk5NP+nxORpOCCag5AVcA0zFLkiRJbYNOp2sTgQS0bDDRljW5vtdgMLSZN5MkSZLUfgkCb6KoPx85ifQR8kpIkiRJknRS5GgOSZIkqX0RNUuQn6zmyKOtkMGEJEmS1K4Ijs4RcXL5yCHER8iwSpIkSZKkkyJrJiRJkqR2RdBczRyyZuIIWTMhSZIkSdJJkTUTkiRJUrvja4ZahebIo62QwYQkSZLUrtQs9NUM02nLyn0/eSUkSZIkSTopsmZCkiRJalcEimzmaGayZkKSJEmSpJMiayYkSZKkdqc5+jvISauOksGEJEmS1K4IoTTLHBFynomjZDOHJEmSJEknRdZMSJIkSe1Os3TAlM0cfrJmQpIkSZKkkyJrJiRJkqR2RQC+ZlibQ8glyP1kMCFJkiS1KwIFbzM0UTRHHm2FDCYkSZIkqZ3IzMxk+fLlZGZmYrfbiY6Opn///gwfPhyDwRB0vjKYkCRJktqd5uiAKUQzFOQ0+eKLL3j11VdZu3YtMTExJCYmYjQaKSkpISMjA4PBwJQpU3j44YdJTU0NOH8ZTEiSJEntihDN02eiOfI4HQYMGIBKpWLq1Kl89dVXpKSk1Hre6XSyatUqZs6cyaBBg3jjjTeYNGlSQMeQwYQkSZIktWH/+te/uOiiixp8Xq/XM2bMGMaMGcO///1v9u/fH/AxZDAhSZIktTNKs8wR0Vrmmbjoootwu91otdpG023dupVevXoRFRUV8DFaRx2NJEmSJElBmzx5MqKRTh5bt25l3LhxQecvgwlJkiSpXRHUrKtxsj+taQnyNWvWcMcdd9T73LZt2xg3bhyjRo0KOn/ZzCFJkiS1K801aVVrCiYWLFjAqFGjiIiI4Nlnn/Vv37FjB+PGjWPkyJHMnDkz6PxlMCFJkiRJbVz37t356aefGDduHJGRkTz00EPs3LmTsWPHMnToUGbNmoVarQ46fxlMSJIkSe1LMzVRtJYOmEcMHjyYOXPmcPHFF2Oz2Xj33XcZNGgQX3/99UkFEiCDCUmSJElqN8aOHcsXX3zBpEmTOPfcc/nmm29OOMqjKWQHzHbuo48+QlEUMjMzA943MzMTRVH46KOPmr1cx5o6dSodOnQ4pcc4YunSpSiKwtKlS0+YNpByud1uunXrVqutsjnt3r2badOmMXDgQCwWCxEREYwcOZKvv/466Dy3bdvG3XffzfDhwzGbzU2+LkdMnToVRVHq/HTr1q1O2XU6Hb///nvQZZWkQAhqahVO9ke0opoJq9VKREQEERER3HzzzQAsX76c2NhY//aIiIig85c1E+3cRRddxKpVq4iPjw943/j4eFatWkV6evopKFnLGDBgAKtWraJHjx7Nmu8bb7xBaWkp9913X7Pme8SCBQuYO3cu119/PYMHD8bj8fDll18yadIk/vnPf/L4448HnOf69euZM2cO/fv3Z9y4cfzwww8B52E0Glm8eHGdbcfq0qULU6ZM4f7772fZsmUBH0OSgtEszRytqAPmK6+8ckrzl8FEO1VdXY3BYCA6Opro6Oig8tDr9QwbNqyZS9Yy3G43iqIQFhbW7Ofk8Xh44YUXuPnmmzGbzc2a9xHXXHMN99xzD4py9MPtggsuoKioiOeee46HH34YvV4fUJ7XX389N954IwBff/11UMGESqVq0vW89957GTRoECtXrmTEiBEBH0eSpMYd+Vs+VWQzRyu3YsUKxo0bR2hoKCaTiREjRjB37txaaY40ZSxYsICbb76Z6OhoTCYTTqez3mYOIQT/+c9/SE1NxWAwMGjQIBYuXOifbvWI+po5nnzySRRFYdu2bUyePJnw8HBiY2O5+eabKS8vr1Wu119/nVGjRhETE4PZbKZ37948//zzuN3uoK5FU8t9pCnj008/5cEHHyQxMRG9Xs/evXsbbOb46KOP6Nq1K3q9nu7du/PJJ580uVzff/89hw4d4vrrr6/z3HfffUefPn3Q6/WkpaUxffp0/zU81qxZsxg6dCjh4eGYTCbS0tL8VZUAUVFRdfYBGDJkCHa7nZKSEgCKiopITk5mxIgRta7z9u3bMZvNtcqoUp2+j4eBAwfSvXt33nrrrdN2TKn9Eij4hKpZftqixia3akjbvBLtxLJlyxg7dizl5eW8//77zJgxg9DQUCZOnMiXX35ZJ/3NN9+MVqvl008/5euvv26w081jjz3GY489xvnnn893333HnXfeya233sru3bubXLYrr7ySLl26MHv2bP7+97/zxRdfcP/999dKk5GRwbXXXsunn37Kjz/+yC233MILL7zQ4MQqJxJouR955BGysrJ46623+OGHH4iJiak33UcffcRNN91E9+7dmT17Nv/4xz/417/+Vaf6viFz584lJiamTtPJzz//zBVXXEFkZCRffvklzz//PDNmzODjjz+ulW7VqlX86U9/Ii0tjZkzZzJ37lwef/xxPB7PCY+9ZMkSoqOj/ecWFRXFzJkzWbduHQ8//DAAdrudSZMmkZKS0uxf5tXV1cTFxaFWq0lKSuLee+/1BzbHGzNmDPPmzQvqg0ySpIZ1796dL774ApfL1Wi6PXv2cNddd/Hcc88FfAzZzNGK/f3vf8dqtbJ06VJCQkIAuPjii+nXrx/Tpk3j6quvrnW3Om7cON5+++1G8ywtLeWll17iT3/6U620vXr1Yvjw4XTp0qVJZbvlllt46KGHABg/fjx79+7lgw8+4P333/eX6aWXXvKn9/l8nH322URGRnLTTTfx4osvYrVam3Yhgix3eno6s2bNajRfn8/HY489xoABA/j222/9ZT/rrLPo3LkzCQkJJyzbqlWrGDBgQJ3tjz/+OImJicyfPx+dTgfA+eefX6dT58qVKxFC8NZbbxEeHu7fPnXq1EaP+95777F06VKmT59ea9jXyJEjefrpp3n44YcZNWoUc+bMYf/+/axZs6ZZm2H69u1L37596dWrF1AT/L788sssWrSIdevW+d+zRwwYMIA333yTXbt21emkKUnNrT0tQf7666/z8MMPc88993DuuecyaNAgEhISMBgMlJaWsn37dlasWMH27du59957ufvuuwM+hgwmWimbzcaaNWu46667an0oq9Vqrr/+eh5++OE6H8pXXnnlCfNdvXo1TqeTq6++utb2YcOGBTSi4pJLLqn1uE+fPjgcDgoKCoiNjQVg48aNPPHEE/z222917lZ3797N0KFDm3y8YMrdlOuxa9cucnJyeOCBB2oFZqmpqYwYMaJJo2BycnIYPHhwrW02m43169dz7733+gMJgJCQECZOnFir6ejIvldffTW33HILI0eOJDExsdFjzps3j3vuuYerrrqq3k6fDz30EL/++iuTJ0/G4XDw3nvv0bt37xOeSyCOr4maMGEC/fv356qrruLdd9+t8/yR2pNDhw7JYEI6pY6M5jhZrWWeibFjx7Ju3TpWrlzJl19+yRdffEFmZibV1dVERUXRv39/brjhBq677josFktQx5DBRCtVWlqKEKLeURhH7paLi4trbW/KiI0j+xz5wj9WfdsaEhkZWevxkc5/1dXVAGRlZXH22WfTtWtXpk+fTocOHTAYDKxdu5Z77rnHn66pgil3INcjLi6uznNxcXFNCiaOdHY91pHXrynlPVJ78Oqrr3LDDTfgdDrp2bMnjz32GJMnT66z//z587niiiuYMGECn3/+eb19KRRFYerUqcydO5e4uLh6+3OcCpdffjlms5nVq1fXee7INQr0tZckqWlGjBhxyjo4yz4TrZTVakWlUpGbm1vnuZycHIA6y8jW96VyvCNBQH5+fp3n8vLygilqvebMmYPNZuObb77huuuu46yzzmLQoEG17tIDEUy5A7ke9eXR1OsRFRVVp+bFarWiKEqTy3vppZeyaNEiysvLWbp0KUlJSVx77bWsWrWqVrr58+dz2WWXMXr0aGbPnt3g9czNzeWee+6hX79+FBcXM23atCadS3MQQtTbufPINQpm+WNJCsjhGTCb40eqIYOJVspsNjN06FC++eabWndyPp+Pzz77jKSkpCb3bzjW0KFD0ev1dTpwrl69mgMHDpx0uY848kV+7HBFIQTvvvtuUPmdqnJ37dqV+Ph4ZsyYUatj4IEDB1i5cmWT8ujWrRsZGRm1tpnNZgYNGsScOXNqdYqqqqrixx9/bDAvvV7P6NGj/R2kNm7c6H9uwYIFXHbZZZx11lnMmTOnwaGgXq+XyZMnoygK8+bN45lnnuG1117jm2++adL5nIyvv/4au91e73DRffv2oVKp6Nq16ykvh9S+1Sz0dfKBhJDBhJ9s5mjFnnnmGSZMmMA555zDtGnT0Ol0vPHGG2zdupUZM2Y06c77eBERETzwwAM888wzWK1WLr/8cg4ePMg///lP4uPjm2244IQJE9DpdEyePJm//e1vOBwO3nzzTUpLS4PK71SVW6VS8a9//Ytbb72Vyy+/nNtuu42ysjKefPLJeps+6jNmzBieeuop7HY7JpPJv/2pp57ioosu4rzzzuMvf/kLXq+XF154gZCQkFo1GY8//jgHDx5k3LhxJCUlUVZWxvTp09FqtYwePRqoGSJ82WWXERcXx6OPPsqmTZtqlaFHjx6EhYUB8MQTT7B8+XIWLFhAXFwcDz74IMuWLeOWW26hf//+dOzYEagZ5fHTTz8B+Jslli1bRlFREWazmQsuuMCff6dOnQDYu3cvUBNsXXvttVxzzTV06tQJRVFYtmwZr7zyCj179uTWW2+tc51Wr15Nv379Aup4K0nSmUEGE63Y6NGjWbx4MU888QRTp07F5/PRt29fvv/+ey6++OKg83366acxm8289dZbfPjhh3Tr1o0333yTxx57LOjOOcfr1q2bf5jlkeGR1157LQ888ECtL6kzody33HILAM899xxXXHEFHTp04NFHH2XZsmVNml762muv5YknnmDu3LlMmjTJv/38889n9uzZPP744/zpT38iLi6Ou+++m5ycHD799FN/uqFDh7J+/XoefvhhCgsLsVgsDBo0iMWLF9OzZ08AfvnlF6qrq8nMzGTs2LF1yrBkyRLGjBnDwoULeeaZZ/i///s/xo0b53/+o48+on///vzpT39ixYoV6HQ6CgoKapUXauYRgZoOqMf2Fzl+mGpYWBixsbG89NJL5Ofn4/V6SU1N5c9//jOPPvponVEjVVVVLFq0iH/9618nvJ6S1Bza40Jfp5Ii5KBuqQn2799Pt27deOKJJ3j00UdbujhNdqaUe+LEiXg8HubNm9doOrfbTb9+/UhMTGTBggWnqXQt7/333+cvf/kL2dnZsmZCOqU+/PBD/vb64wx7+bKTzqsys4QNd39PZWXlyReslZM1E1Idf/zxBzNmzGDEiBGEhYWxa9cunn/+ecLCwvx36WeiM7nczzzzDP3792fdunW1honecsstTJgwgfj4ePLy8njrrbfYsWMH06dPb8HSnl4ej4fnnnuORx55RAYS0mlxpM/EyWqtHTAzMjL48MMP+X/2zjs+qjJrwM+dXjKTZNJDGiGh916kKCCggm1t2Nuubf1cy7rqurq6lnV3XXXtiogFOxZUsCCgNAXpvaVASO/J9Jn7/TEwMIYkc0NCEvI+P+ZH5r1nzry3zMy55z1l3759PPvss8THx7N48WJSU1OD3k6lCGNC0ACz2cy6deuYM2cOVVVVREZGMmnSJB577DFF6aEnm4487/79+zN37twGmRq1tbXcfffdlJaWotVqGTp0KF9//TVTpkxpp5mefA4cOMAVV1zBXXfd1d5TEXQZpFZZouiMbv3ly5czY8YMxo0bx48//shjjz1GfHw8mzdv5vXXX29xp2GxzCEQCASCLsPcuXO554WHGPH0+Sesqy63nI23ft6pljnGjBnDRRddxJ133onFYmHTpk1kZmaydu1azjvvPAoKClqkV3gmBAKBQNClkOWuu8yxZcsW5s+f32A8Li6uQaFDJYg6EwKBQCAQdBGioqKOW+xww4YNzZbpbwphTAgEAoGgy9FVK2DOnj2be++9l6KiIiRJwu/3s3LlSu6++26uuuqqFusVxoRAIBAIuhRduQLmY489RlpaGt26daOuro6+ffsyYcIExo4dy1//+tcW6w07ZuKbd5fj+U1hGjnqaLfKyqpytm3bgN/nD46NHjMJnTbQG6DKXcvGX9eQlJxKVs++Tb6X1EYhoUrOu9rtb16oJXNQhT8JnzZ8WSWXtORtmwPcVudN5faFL6wgnljyhy+r5NqRfG1z7bRZ6HgrfB+6XC5UKhXFJYc4cCgft8tFREQEvXv0w/ybVuMAy1d+H/x79PDx5BzYT3HJIZKTU8nq3qvJ6q2ygsqukrdtrp22kpWVXDtK5qAO/75ROqZd/REGjelFSvfwKr4KOi6yLHPo0CFee+01Hn30UdavX4/f72fIkCFkZ2efkO6wjAmn08msK2fglkU3P4FAIOhqxNhiOVhwoEH3286KTOssUXS2ZQ5ZlsnOzmbbtm1kZ2eTmZnZarrDMibcbjdu2cFE80VoJG1w3DuwR4jcgYLV7M8L3HEYDTYcztBOiQCW6Az6jmu6gJCSO0Yld8N+dfgnXl/lCV+xAnz68O8Q3Jbwk22UHAeNXcHdmgIUnTcFN2C6Kmf4ehV4MSRP+LKygmtHcrXNtUNbeTwU3LUquRv2e91sL19KsX0vo5MuxayNCm6rdBayq2I5Hr8bkzaaStcBEi196Bd3ZrM9ZWRNwzvnxpDs9rBl8So4vj4FnyF/+HplZ/jXuqxAr6SgG69kNIY898pulhXNxe12nzLGRFdFpVKRnZ1NeXn5CXsifoui1FCNpEUjHXNRakIvLFt0VtCYOGJIpHYbS0LcAHwxFrT6CDQ6U7NfFh3BmNAo+MJSgqQJ/4vbr20jY0LbRsaEr22MCSWnQlJ7mxcKzqGNjIlWaobWcBJtZEwoma8i17qGfjGTKbLvZk3hB4xKuhirLg67p4rNZYvQqvRo1DoqXQcAKKrdSZ+4yejV5ibVysdxwzeGpFJwrSuRlZV8hhQYEwo+GEpkJUmBMaH6jWwbXXbtikyrxDvInbA3x1NPPcU999zDSy+9RP/+/VtNb6vWmYi0pjJ6+P/hcFSyadtbZKROokf3qQA4reFfzAKBoPNT7shnbfEnAMj4WFP4HhqVHq/fhV5tZnTSZejURraWfcfBuq30jZ+KXtO0ISEQtBatUQGzM9pZV1xxBXa7nUGDBqHT6TD+xhN1bMdiJbR60SqzKR69zopGY+TgoTWYTLHEx/UHdPh9XgpzVuGsK6PH4Ata+60FAkEHYnflSgCSzX3pZRuPw1tDcf0ecmrW4fLVU+bIJTmiDz2jT8OvgiRLn3aesUBw6vPMM8+0iV5FxoTf4cQvHXXvaXcfLbvp9jvZV7eOak8JAPGaFBy+Orbv+pgduxag1urxeo4GcMakDiIyPuu477N371d4XXYyxl/S7Jy09QrcrgoMUWeMtnmhI3OoC9/l6VcQMyErODt+BVkishS+m1jrUGB7KxD1WMI/Dl5z+HerOgWxLn5d+HPQ1IWvV2UI3wunaPlEyZq+EpRkRzjdYcuOyJgNgOaw21xPNFGR6URZUtlQ8CmbyxZTJ1fTM24iAyJnAeElrMgaBct/fgVr/ApiXWSjPny9Sla9FJwLlbNtYnP8BaEFjfxy+Oe8s9Bajb46Y2ro1Vdf3SZ6W80zsa9uHXn2zSToM5GROeTcc3iLRKQ2DlV8PJFxWeRu/gLZ72Pbjy8HXzv4zLspP7iZbr3PQJLUFG9ZBhCWMSEQCDommt+uvR8mwdKL07P+yNK9/6PSfvAkz0og6Nrk5+c3uT0tLa1FelvNmEgwdOeAfRsV7gI8suuYLTJuvwN7wRYqCrag1UfgcdWFvHbjt/8GoCTvV7xuBdHXAoGgU6LXmJnW6178igIZBYLWonUKTnVGz0RGRkaTSRA+JZlKx9BqxoRN142xsRezuvyjkPE+ltNINw+kdKiN6tJ91FcWUFuRi8tRjcdRw7GOTVf90SYj6b/xSsiyjN/rRq1V4F4UCAQdFkmSUEui1+DxqHOW4vLW4fN7KanZjVatx+t343BX4/W5MOoi0cgaPH4XHp8DndqERqWj3lMJsozVkIBBY8Xrd1LnLg8YbbKMVm1EqzYSobOhVumwGVMxaCx4/W5c3jpkZKq9OQTyFFR4ZDcuOfx01c5CezX6eumll3jppZfIzc0FoF+/fvztb39jxowZh+cl8/e//51XX32VyspKRo0axQsvvEC/fv2COiZNmsTy5ctD9F5yySW8//77Yc1hw4YNIc89Hg8bNmzg6aef5rHHHlO0P8fSqp/kCE00p8VexvLStw+PSOTaN1PlKSbdcD3x6cMgfVhQXvb7sNcU47JXUpK/noqDm4LbDqz5jKj0/mj0JgCq87ex7/u5xPYaTfppF7XmtAUCgaDdkWWZWmcxu4uWUl63Pzhu0EYiSRJalQGDLhKdxoTLU4fd60CrNqJTG3H77Ng9FZi0NiQkSur24vY7QJaJNCShVmmRJBV2TxVuZwF5VVUAqCUtJl00ta5Sjh+xIqGibdLkuyIpKSk8+eSTZGUF4gXnzZvHueeey4YNG+jXrx9PPfUUTz/9NG+++SY9e/bkH//4B1OnTmXXrl1YLJagnhtvvJFHHnkk+Py3GRlNMWjQoAZjw4cPJzk5mX/9619ccEHLkiNa/bbAqLaQHTEKh68WrUpPTv0GHL4aHCvfxO/3kJw9AVtywMqSVGrMUcmYo5KJSuzNhop8XPZKIFDwZt/3c8k8/Uq0JivFWwKWWE3B7taeskAgELQ7u4uXklu2BoPWQt9uZxFtSkFGxqyPQXWcoGnpcADmoZptHKrdjkZlQKPSY9HHkWzth1EbiVETiVrV8GveL/vx+pzsrViJz+8hLXIIJm0UKkmNodyNGjUyoEGLDw8/OD5o690/6bTHMsfMmTNDnj/22GO89NJLrFmzhr59+/LMM8/wwAMPBH/Q582bR0JCAvPnz+cPf/hD8HUmk4nExNYtb96zZ0/Wrl3b4te3iY+xR8RR70O6aSC/VHxGVfFOAGpK99Gt1xlYYtIwWhMxRsQCoFKpGTj5Drb9+Ar2miISB55B0eYlbH7vEbQmKx57NQAJ/SfgqCxCb43FUXGIKFNqW+yCQCAQnDRKanaTW7aGrISJdI8bc1zjoTF2lS3H5QvEoVU4QoPrJCQs+gTizN1JjOiNRR8HgEpSodOY6Bs/tYE+v/Sb9tRt1ROmXWmdctpHjImampqQcb1ej17f9JK8z+fjo48+or6+njFjxpCTk0NRURFnnnlmiJ6JEyeyatWqEGPi3Xff5Z133iEhIYEZM2bw0EMPhXgumuK3c5VlmcLCQh5++OETqorZ5guWBrWZ8bGzWSN/T3VJIMOjYNcPgW3mGIbOuC8oq9Wb6T/pZn75/EHK964LVts7YkhAYPlDrTPicwfSTIdf8Aganamtd0MgEAjaBK/PxZaCL4m39CQzblyzFYJ/y+jUyzlUu52Sur1UuwrRqoxkRI8g2tiNOlcZlY6D5FWtZ1/FaiINyWREDSMhoqcig0XQOG63m8jIyJCxhx56iIcffvi48lu2bGHMmDE4nU4iIiL49NNP6du3L6tWrQIgISEhRD4hIYG8vLzg88svv5zu3buTmJjI1q1bue+++9i0aRPfffddWPONiopqcI3JskxqamrYcRfHQ5ExIft8yNIxSdNhlrWVgD5jbqT84GbyNi3E7QgYB876cnb/Mp+skZciHdar1hnJmnwt+5a9jUprwGCNxV5+EL0lBldtIEDziCEBsGvtfKwpPYkfOKn5+SvI99bXhG+OaxTUYvApqG3gUlSLIWxRJF/4X1a62vBlldT88OkUdE9VUDy1KjP8ugKm0ubn66qroGjHj+i1EcR3H4nW0Lz1r61VUKZbE/5xMCz6NWxZ51nDmhc6jJJeLWp7+D9AKruCOghKKnorKKftVysI2FZQH8RvCr8OjcrVsMS7x+fE7izH7iynsi4fr89JdtpU0GgadQTIsoyMP2gESPbAHaYRHT0Mg+lhGIzdW8PumlXsLV9BmnkgSaZsUq298DOcUu9B8j072VS0EL1kJF6TToauLyaVNeR9ftvHQ5KBU6zHo4yyyvBN6dHpdJSWloaMN+WV6NWrFxs3bqSqqopPPvmEq6++OiSg8ng/9MeO3XjjjcG/+/fvT3Z2NsOHD2f9+vUMHTq02TkvXbo05LlKpSIuLo6srCw0Cmq4/JaTFkotSSpiUwej0RopzV9PWV7gi7Esfz3lBzbRb9LNWGIzADDHpmFJyMQQGUdt4T4A3PVVxPYcjTE6CWd1MaU7A1Zc7YGd+Jz1YRkTAoFSqg/tpHjnTwC4HbV0H3pe+05I0Gnx+33sOvgNB0pD16XVKh2ZSRMwG2LBJ+NwVVFRl0uN4xB1zlJ8Pjdurx2XpxYZP1q1CaM+CpNsIlqXTIIxC8PhfiYmjZWB0VPZrY7gkH0nefUbMagjsEkJRKijSdP2Jk3bm3LfIQ56dnPAs5MRxunYNKK9+IlgtVqbFzqMTqcLBmAOHz6ctWvX8uyzz3LvvfcCUFRURFJSUlC+pKSkgbfiWIYOHYpWq2XPnj1hGROSJDF27NgGhoPX6+XHH39kwoQJYe/LsZz0vKyoxF5EJfYipc8Uastz2bf2A2TZx951H2BL7o8s+yncHbDSug07i7TRF+Cx11C6azWHNn0fbHaUPu5i8lZ+CAQst4OrvkBqrgqkAu+hWkHRN7UzfM+EX8GdqNcYvqw//BslRU3B1K7mZY6g8oSvWEnlR78Cb6xPwY2oNoy7rfryg0hqDdFJfairPBC+coHgMLIsc6B0HXsP/YDXF0izHND9AsyGWEx6GypJQ439EHsPLaO0cie1zmIAzPpYLMYENHo9WrURgy4SlaTB5anB4a7GXlfMzuoV7KpeSXfLUDItw1FLGlSSmt6Rp9HLOpYK9yFKHPupdByk2JuHj4ZekhJvfpc0JjpKbw5ZlnG5XMGli++++44hQ4YAgSWU5cuX889//rPR12/btg2PxxNigDTF6aefTmFhIfHx8SHj1dXVnH766e1fZ0IpRkscRksclpgMDmxdTPnBTRTvX4PvmJLbppgUALQmK8lDpqExmMlf8ylA0JAAcJQdxFlVgtZoabWOjYo6lyppNqjInaukRHb4epXQVm3FFc1XgaysoKx4uF1Oo5J7E5s6lN2r5lGWv5GY1EGK17UFXZOq2nx27/uKGvshkmwDSYkbRqSpGzIyJVU72VvwAxV1efj9HjRqPbHWbLonjicmIhOtpuklO1VpJU5fHcuK5rKvdi0VrgJGxV0Y3C5JKmL0KcToU5BVtciyjFt2UOuvxCU7UKNBI2mxqbueISG3VtdQhTruv/9+ZsyYQWpqKrW1tbz//vssW7aMxYsXI0kSd9xxB48//jjZ2dlkZ2fz+OOPYzKZmD07UJp+3759vPvuu5x11lnExsayfft27rrrLoYMGcK4cePCnLN83O+v8vJyzApaF/yWdq8YY7TE0XPMlbgd56LRGdmw6Encjmpis0dSfWA7lsQeqHWBD1Vc73HUFOym6sA2VFo9fs/R22bZ68YYk0zmtGsbfa+2ipnQV4bf9tprCv8222Frq5iJ8GV1teEfh44QM+GKCl9vODETR1A5/UTEpLNnzTvsX/cR+ogYDBExRMZnE999JLXluVQX7wUJzGobtrie6PThRVcLTk0KSzexfe+nWE2JDMm6jBhrD0oqd7K5+GPKa/bh83uIikgjK3kS0RHpWExJqPzKfpy00lFXXKX7UJOykiShl0zoVSJgvb0oLi7myiuvpLCwkMjISAYOHMjixYuZOjWQVfPnP/8Zh8PBLbfcEixa9e233wYzNXQ6HUuWLOHZZ5+lrq6O1NRUzj77bB566CHUzcQSHUk3lSSJa665JiSuw+fzsXnzZsaOHdvifWt3Y+IIOmNgzWnA5P/j0IHVlO1dS9meXwAJc1waUen9sSRmkTrqXKoObAsxJI5QnbftJM9a0FWQJIm+E2+ipnQv9uoiXPUV2KuLyFm/gJz1CwDQ6iOQVGoKHIHAuNiEfmT0nIYpIr4p1YJORkH5Rvbv+In0bqdhNsUTYUpAqwktGlRWsYttez4mKW4IvbudSWVtHqu3v0K9s5RIcwqZSROIj+qD2RDzG+3KogIlScWo2N/xa/kXJBh7nOCedS3ao9HXnDlzmtwuSRIPP/xwo5kgqampDapfhsuRjBNZlrFYLCGFrnQ6HaNHjw4J7lRKhzEmjqAzWuk2dDrO6lIq6zcCMvWledSX5h1XXq0zIvt9+L1ukP04K4sxRDcerCIQtBS1Rkt0Uh+ik462yq6ryKe+8hCGiBis8T0CWUnlNZQWbiZ/3xLW/fQfNFoTJnMs6dlnEh17NI/b47HjqKvAFJGAWtO8+8Uv+yiTCymTi3BhxyYlkCSlo5MUdMYUnDCFlZtxuCrZuX9hyHikJY3s9DOpsxezO3cxsdG9sEZ0Y8WW5/D4HESaUxjd+0as5mRF7+fze1BJmgau6VpPGevKvsDlr0crGciIGHLC+yY4dZk7dy4Q6M1x9913n9CSxvHocMbEEbTGCACi0vpTW7QvJB0UAtUzVWotkRn9qdh9NDp63+LX6Xvp/WJNW3BSiLClEWEL7bKn1ZlJTh+DNTqD/Tu/JMLajZqqfLasfZ1IWyYx8X1x1JdRXPArfr8HvTEKszUZtUaH3+vBYI4hKWMMkiShUutw2sspLdhEqW8tHlyYsaKXjOzxb2YPm4mXutFNysQmJYjr/iQwPOsqquVyauoOUltfyMGiXwCors1n3dbXAbBFZeHzudmV8yXdYoaQFj8Kiym8m5ziqh1syfsUv+wlypxCtb0Qoy6SpOgB2CK64/W7yC/9mfLa/Zg1UQyImoXNkCLqRiikVVJDO2FBr4ceeqhN9HZcY8IUiUqjI230BWhNFmqL9uOsKsbjqMXjrEX2ekGC2kN7Q17nrinHUXYQU5yojCloXyKsSQwcGXAbyrKfsqKtHMpfTc6ur9EbokjpPgFzdDIlB9Yjyz7czlqQJAr2/0jB/h9DdGl1ZpKkdJJV3bFIUQC4ZReFci4F/v2sl5djxEw3VSbJUveTvatdDos5EYs5ELjYO3Mmsuxnd+5iDhSuJjF2IMXl29BqDAzucyXxpsyw9bo8tWzKPdossao+0KLd7qogp3gF+4qOurj7Rk3C7bWzruILhtjOEsscCpC7cNdQgI8//pgPP/yQ/Px83O7Q1MX169e3SKcyY0JSBR6HkZ3hd5Oz7qoKW7Zwog3LwGEU7/yJ7V/+l6yL78CQnY2BhqU+K/dt4MDXbwef62MS0aZ1w3ucc+xTkD5pqFJQtKo+/ABMbW34hXwkBXmObqeCYliRCtJTDW2TUaIk68KnwIuvUVBcx6tvm33za453h6jGahuCtW9DV7S1Z2jjHXtVEW57NZJKwudxozNZMUV3I/KDteAHmUAErRYNaWSRSg+qKaeAHPb7t7OPrUSv3UdC91FEJfYKFoRrFGP4d7SyAs+HWtM6mVW/xa9Ar8qjpCCXgs+mJzR1qd5RQknZVgBKyrcTH9Wbvt1noVEbFGVlacyxjBz6R7RaI7Lsp7RsG9W1Bykt24bN1hOHo5x6ewkA26uWBV+nVRmhiXMjNVFEySd78cguDKqA29vvCP0QybKC4mOCDs9zzz3HAw88wNVXX83nn3/Otddey759+1i7di233npri/V2WM+ELiKK7EvvYs97/6Zk3RJSTv9dA5nK3es58M07IWOmxLTmvzwFgg6MKSoRU1T46XqSJBFFLFHE0lMeRBEHOGAvYseqN9AZo0jIGEFC91HojJHNKxMoQpZlCss3syP3C/xy4KYiJjKLfpnn4/f7kGU/ksKum5aIo+c+LeU0APIPrmTP/q/R6SLIzjwLp6uKAwWBwn09rWOxGbopnrtf9rGzfjX5zkDg+ujI84jSdpF4s3ZKDe0IvPjii7z66qtcdtllzJs3jz//+c9kZmbyt7/9jYqKihbr7bDGBIDWZCGyx0Bqcrcj+/0hNSRk2d/AkADw1Nc0GBMIugpaSUcqPbBNvoy6ygMU5/xMwe7lHNi5BFtyP5Iyx2KN6yFiK1oBv9/Lpr0fUFZ9tJNx96QJ9Oh2OofKNrA99wtUkoZRA/6A2RhHvbOckvJtGA02EmL6KYpxSEsZR1LCEDQaA5KkoqxiFwcKVjEi9gJiDCnK5y77+Lb89aPzNg7GqolVrEfQ+cjPzw+mgBqNRmprawG48sorGT16NM8//3yL9HZoYwIgus8IyrespHLXOmx9RjYrb4gJrwqYQHAqI0kSFlsaFlsaGQNnUpr3K0X7V7Ptp1cwRsSRkDmG+PRhokleC/H5PWzL+SxoSEiSiuyUM0lPHMPBkrXsyPuSqIg0qury2bznQ1zu2sPVLyVAJq9wFf17nE9EmEGZAFqtCZ/PQ/7BZezPW4JVG4dNrywz5Ahl7qPVXLuUR+IYWiU1tBWqaJ5sEhMTKS8vJz09nfT0dNasWcOgQYPIyclBPoGI0g5vTJgS0lDpDBz8/n3qC/aRNG4mGmMEkqSi+6wbyfnitaBs+rnXY83s146zFQg6HhqtgaSscST2GEtN2X6K9q8mb8uX5G9bRGzqEJJTR2OJUn532xXxy372FvxAbvEqjtSEUKm0DMm+Aps1gwMlv7Az7ytS40fRK20GxRXbKKnaToKtH5GWVKIiUqlzlLJ9/2f8vPVVJgy9C60mfIPu4KE17M9bAkCNp5QyZz5xxgz8so9d1SupdhczMu6CZr0ekdp44rRp6FUmIjVxDbaXeg9yyLuPJE33U7JCZqs1+uqE2RxnnHEGCxcuZOjQoVx//fX86U9/4uOPP2bdunXBwlYtocMbEwCW1J5U79tM5Y61WNL7EJU9ODCe3od+tz2Bz+1CUqnRGFs3b1YgOJWQJInIuB5ExvXA7ayhOOcXinN+piT3F3oOvoSE1PA7jXY1/H4fpdW72LT/o5Dx+Kg+9Eg5gwhjPPnFa9iVv4i0hNH0TJ2OJEkkxvQnMX5AyGuiLKn06T6TddvfwO2pV2RMdEsaAcg4nBUUFK5Fxo9f9rGxfBElzv1AIKCyOWNCrzIxLHJGg3Gf7GWHaw0HvQGPS71cwwhV1/NanMq8+uqr+P2BAOKbbroJm83GihUrmDlzJjfddFOL9XYKYyJ+5JlU79sMQES30PQnlVaPSqugu5NAIEBnsJLaZwopvU5n54o3KNj/E3HdBiFJajzuerQ6c5eOq5BlmeLK7WzO+fi421PiRtKj20R02kA9nIqa/ezKX0R6wliyU89s9thJh3/sZVlZqyiNxkB66gRc7loKC9ezv/ZX6j3VQUMCoMpdhFkThVFtVXwOd9av4pB3L711I5GQ2OH+GadsV6Sjs9A6AZitMJGTiNfr5bHHHuO6664jNTVQPuHiiy/m4osvPmHdncKYMNiOWsZepx2NSfQ8EAhaA0mlJiXrdLb+/Dprl/wTn8eBz+cms/+5dOseXuOgU43q+gJ+3vl6g/H0+NGkxo/ApLch/6ahYGnVbvRaa1iGBBDMOFNqTBxBr7PQO2o826uWkWDsgVUbT40nkDL6a9nnAKglLQnGTCzaOLxuBy5/PS6/Ha/swSu76W4cRLLhaLp9kWs/B5w76KMbRaq2F786vyNCFY1BEnE1pwoajYZ//etfXH311a2vW4mwSqtBJR3zEreC/GNv+B8aXV2ouefzHC2qceCrefg8TroNOwtb5lC85vDTQJW0p3ZZw9drKA8/KltbE35vcyWtzTUKWpurFDT6UtJkSwnK6jaEL6soKbiN0ueV1BUIt3MpgGtm8wHIR1ByjqNiezBwzE3k7/6OiKhUDuxZQl3V8dut+7UKWsfrFRR2UYCSa0ftCk/Y7a6nuHwN+3K/CxkfP+o+dLrQ5VMfoXVSysp3kl+8htRuY/CbG+6z19TwAvaqA8VTXBFqdFFHv5hkBZ/jmDHT0Hz/M7uqV9Br0CV49izBYS8Lbrcl9uFQ4WZgFwARkSnU1xQiy4GL46DxEFEjpgFQV3OILWt+IjZxAKnuATj9dZTXFwKQJ+/mlEPuukWrpkyZwrJly7jmmmtaVW+n8ExIqqPTdFQVAZDz43yKt/1I9qV3tte0BIJTBqstnf6jbwDA46qj9NAmdv76Lm5XHcndxxGb1L+dZ9h21FTls/6XF0PGxo64C6MhOqzX5+YtIyqqO1k9GsYgNMaRZQ6/rMDqa6BDRY++57Jny8fs2vRBcFynt+B21VJauDlEPq3HGWxf/xamiHhSe5xOXFKgWFpdzSE2rHoBc0Q83XtNJ2ftMvbYj7Yo2O/c0OI5dmRaY4Wik61yADBjxgzuu+8+tm7dyrBhwxr06Jg1a1aL9HYKY0Kl1pA4cDJFm5eQfeaNqLVGCjd9R3zf09p7agLBKUdGnxk47OU47RXY60rYse5txsz4OxrNqddQzGEvDxoSFnMSWd2nER0Vfh0OWfZTU3uAHt2nKSqWd6Rmjt93Yu4xe10xKZkTiE3oz97tX1BTmYvbVUtGr+nIfi8uZy1FB34GYPv6twDI7HMOUbZMqsr2EBXTg+KDv6LVmsjoNYO1y/8Von+I5Uzcfifb6n9s8N6CzsnNN98MwNNPP91gmyRJ+HwtM3A7hTFxBF2EjchuvQHInnr4Lqo9JyQQnIJodSYGjvk9AOuX/xd7XQmlBZuITxmKpnN9ZTRKwcGfOZS/hvq6gCu/z4BLSI4a0MyrQvH5PezZ+xUAERHK0iePGBGO+jKiYrJaFOzqctZwYN9SAPL3/sDAUb/HUV/GgX3LyN31DSCj0ZrQ6S3IsowkScQlDaKuuoDdWz7B7awmKW0MPq8Tn9eFx13X4D3K3Ac46NqleG4dnUBqaNdc5jiSydHadJpvBq0hAo+9OvihEAgEbU/2oIs4sGcJezcvIHfnYpLTRpGUNga9wdreU1NM4cG1lJZsxet1UVOVGxzv0escEpKGgCP8Hjt+v5f1G1+jtvYQ3TMmE2PrqWguOr0Frc7M3u2fkbvnW4aOux2DsfllFb/fS0XxTkoOrqe8aGtw3Bbfh0hbd6JiepCYOgJkmaqKHEoLN6LTR1KQ8yM+n5uC3BWoVFpiE/vj93spzF8d1HHsUskRDrp2kqzrSYH71DMouuw6xzE4nU4MhtbxOHYaY8Lrqkel1QtDQiA4iViiUug74moc9eUcyllBQc4KDuxfTlLqSDL7zESl6jxtr/fs/AK/P9SXqdWaSE0Pb7nU7/fictdSW3eIPTmLcTor6dPrQpIShyqei05vYeSk+9i05kXqag7h8zZsmujzuvnl+8exRKfSa8illB3azIG9y3A5KlGpQr+6K0p2sO7Hp1GpNNTXBrwtWl0EA0fdiNmSSFrW6djrSnC7arFEpqI9XPnUXleKva6Y7euPNks0SBEkG7KIUEcTrU1Cg/bUNCa6KD6fj8cff5yXX36Z4uJidu/eTWZmJg8++CAZGRlcf/31LdLbaYwJj6MOnUk0KhII2gOjOYYe/c8lI2sqBbkrydvzHdFxvYiJ79PeU2sWWZYpLtwQYkioVFriEvqTmjEhLB0+n4d1m16hrr4oOBZj60V8nLKlkWNRq7V0yziNXZs/ZOfG94mM6UFkbCYRUd2oqcij9NBGvB47lSW7+PnbR5FlmZjEfvQdcTWSSsX6ZaFr3o760pDnHncdHnf94f3VEGFtWHpbrdZSWRqarTEgYhI23dG2BF5/+BlonYnWWaLofDe3jz32GPPmzeOpp57ixhtvDI4PGDCA//73v6e+MeGoLMQYLfpuCATtiUZrJC1rMoX5P1NdkdNhjYkjywFVhTspLPglOK5Sa4mwJKM3RCHLMvk5yzniqw6k6Yb6rY8UJXJ7aqmvL6Fn5tlYLSn4JT9Wa6qiZl3HIzahP+WJO6gq38uhvJUcylsZ3Cap1MQk9kNvjMJojiM2aQAqjZai3DUc3P8TIBFp645KraWyNOA5SEobQ7eMMegN0ajUmuMGhdbXFlFZupuy4m3UVOYiSWpMEYnEJfXHYLQRfbDzLWEJwuett97i1VdfZfLkySEVLwcOHMjOnTtbrFeZMaFWwTEfHtkT/hqjyhW+dav6TVSlLPtxVBZhS+nfYJvWHv6ilU8fvhX521oXTesNP4pbpQ//y0dSsB6n9oQv7NcpsKYVzMGvIEfer6AEgaJaFwp2TavgHKu8Cq4HBcdX5whbFNP+qrBl67PCS2sEZfNVuwEkrDEZ1FTmNllTQ8n14DO03h1e+YHN5G1YiLu+En1ELCp14AIyRSUGlwdcvmOCDQ+/9dHP23HmotXQfcAs4jMD3RbdVjXh1oU0FTUeJq5CR/8Bl3MwfyV7dy3EYkrCFtmdlPgRaNR6dNpA2p7H62TX+s8pLN+MJKlJjh1ERm0qZmfgh99p6EeedwfdS1PQlZUCAS+FLMt48VClqaTSU0i5p4BaXwUq1ERrkxgQMYlYbSo6lQEOd5+WDKEFeSR/57v7bha56/bmKCgoICsrq8G43+/H42l5SkOn8Ez4vW78XhdaU1R7T0UgEADW6Axyir7G7/OiUneMrxGv20HOugWU520gKrkPvcZfe1zXfmOoXW0T5e71uvD5XOj1R+/4/X4vleV7qa7Oo6xkG/bDSxS19kJq7YX0TJsWlNuZ9zUFJb8GX3vaoP/DoI9E2rI3OCZJKoyShX2ezaRqerHB9QMq1Pjw4pQDSx0GlZloTSJZpuHEalNO2KvS2emq2Rz9+vXjp59+Ij09PWT8o48+YsiQIS3W2zG+BZrB7w/kvUoqRfUNBQJBG2G1ZSD7vdRVH8Rqy2jXuciyTG1pDnvXvIfP7SBrzGxiMw4HRba8JlSrUF9xkF+W/heA+MTBVJTtRJZlfD5XUCY2ri9x8f2xxfaipnBX0Bvh9tSxfP3Rug86bQQj+96AQR8aO+aVPaxyfIGHgPf3kHc/vsNJ88nqHsSoE4kypWBUWUQAu4CHHnqIK6+8koKCAvx+PwsWLGDXrl289dZbfPnlly3W2ymMCWdNoOa8RidqxAsEHQGzNQmVWktNRW67GhOu+ir2rHyLuvJ8TFHJ9Jt8M3qzrd3m81sObfk++HdJ0caQbZnZM4hPGITBGBUci1UF6lXIsj/EkBg/+M4GRsQRin15eHCjQUc/3Riq/KX48ZGpHYBeMgIgqU+9gmMnhqSsLntjdELPxMyZM/nggw94/PHHkSSJv/3tbwwdOpSFCxcyderUFuvtFMaEo6oYkLAk9GhWViAQtD0qlRpLVCo1lXntNofKgu3sW/M+SBI9x19LdLc+iqpQthWy34cs+6kryaUyfwtx8QOoqTkQLFQVlzCAzOwZaDSNNwuSJBXpiWPJK1rFmAG3HteQkGWZ/d7N7PNsxiRZGaafjFEVQQJpbbZvglODadOmMW3atFbV2SmMCY+zFo3B3Kly2gWCUx2rLYOivJ/bpZBcVeFudv/0JlHJfegx6hI0+vb1WnpddmpLc9mzdE7IuM5so2ef83E4yjCZ4xWVJI+ypJFXtAqgwTH2+31sc6+gyJdLd01/MrUDUbdBDIQsy/xa3nLXd0dF7sIBmEdYt24dO3bsQJIk+vTpw7Bhw05IX6cwJnxuB2qtcNMJBB0Ja3Q6B/b8gLO+DGNE3Anr83mc+Lzuo9/QwR9P6fCfEkgSHkcNe1a9jTUhm56nXYXUzjcZNcX72PltaKMwndlG+ohzsSZmoS1Xo9Up9xZEWQKvWb3lBeKj+zAw+xJc7hpyDv1ERU0Odl85/XRj6aZpW4+tQW0+NfsWdNEKmAcPHuSyyy5j5cqVREVFAVBVVcXYsWN57733SE1NbZHeDm9MyH4/lQe3YbCe+JeVQCBoPSzRgWjwmsr8FhsTXo+T0oMbKC3YQG1pTtiv00fEkD3u8nY3JGS/P2hIJA88M9CUsO+k33hRW/ZLrNOaGZh1MQeKf6Gkcgfrd86joiYHkIiL6slARmJVxZz4TjSBJEn0izqdwqI9bfo+gpPHddddh8fjYceOHfTq1QuAXbt2cd1113H99dfz7bfftkivMmPC5wfpaHi07FdglnnDr0nhjD7qzitZtxRXbRkR3XuHjB9BSS0GU2n4wt7GlzMbysYr+EJTIKtpWGG3UXwK6jbICpaV/VoFtQIU1IPwGsOX9SmQ9SupSaGgKIWsQNanwOPudIavNyI3/J1zR4R/ktXu8D8XHvPR+ZaVBX5gtLFxeMzHeb8wdi1/xxIKdy7DktiD9HEXoTVYQFIRvOWTjxaSCjgsZGSNClNCBj5jRLPJGpKCbE9JQTCdNc+N3+9ly6ZAGerefX9HUvxhN3Gxj2PTSDS14dfYUecVhzxPJpZk81ns9q+h1J6PSR1JdsRIkgzZoAk/VcXXPfwUWZ859MvE63VCUSPCnZhWSQ1thXmcbH766SdWrVoVNCQAevXqxf/+9z/GjRvXYr0d3jNRsT3QPjduyKR2nYdAIDiK3+flwObFRCX3wRKb0WI9sRlDKdy5jPi+44lOD680tU+BgduW5OUuo7JiLwOHXEtMjLJGX0rpaRlNT8voNn0PQdcgLS3tuMWpvF4v3bp1a7He9g99bgJXVSnu6nLSpl+Fztpx0r0Egq5Oef4mXPUVpA06+4T0GC1xIKmoPtjyMr7tQUX5HnL3LyElbVybGxKCNkJupUcn46mnnuKPf/wj69atQz4cn7Ru3Tr+7//+j3//+98t1tuhPRPlW1ai0hmwZnTM+v8CQVelung3pqgkTJGJJ6TH46pDrdZStnsN3YbNQGuIaKUZti2HCn7BaIqhR9aM9p6KoCXIXbcC5jXXXIPdbmfUqFFoNAETwOv1otFouO6667juuuuCshUVFWHr7dDGhKTW4ve68boc6LQKghgEAkGb4bZXU3VoB3HdR7To9V63nfL8zZTlrqe2dD8qjY7kIdPQ6M2tPNO2w+Ox47CXc/DASlLTwmthLhB0BJ555pk20duhjYn4YWdQ+usS6g7sxtZnZHtPRyDo0siyTEXBdvateQ+VWktCdvjBWl63neqiPZTlbaDq0A5k2U9kQjY9Rl+KLaU/skVBlG0746wupapyP0DQTSzohHTR1NCrr766TfR2aGPiSC+OjlDVTiDoynjdDnb8+Bp1FflEJ/elx6hLj1soyu/zUl28G0d1MY7aUpy1pThqSvC6As2mzLYU0gadTUz6YHTGo42vws/1al9kWWb3opcByMicTFr6+HaekaBlSChqMdykns5JSUkJJSUl+P2hKU8DBw5skb4ObUyotHp0UXFU791MVK+hwqgQCNqJsvwN1FUepNeE64hK6t3gs+j1OCnZt4aiXT/hdlSj0ugxWuMwWOKITMzGYIknwpaCwRLbTnvQOkiSRNLgKVRuXk3u/iVYLMkgqdi66W0GDr4GW0x2e09RIGiSX3/9lauvvpodO3Y08KxJkoTP17LueB3amABIGDWNA9+8Q+X2X7D1E6lRAkF74Pd5kABzdEqIIeF2VFO0ewXFe1fj93mITR9CUq+JGCMTkVSd966tKeJ6jyHTMJRlS+5ny6a3yep5NrLsZ9OGNxg97h6MRpF51inoossc1157LT179mTOnDkkJCS0Win8EzImJK2ClxvDL4d9bOEhS6/+8I1EbcEeooY0NCakNmox7DMoKGik4FzICg6Zy9q8zBE0ruZljqCvCr+Sj6ou/E+Lyxq+58iv4DgoOWZKila5LeHLKvFmKrkm/QqKjRWcHv4FoVZwPYSzcybLMNR7l7Np0VPE9B2L0ZZI7aG9VO7+FUmtIbbvWOIGjEcXEQWAG2XHQUnBMyXHTElRO2te05+LTT8+T21FHpkDz0Mb1QdzRAL1dcXs33u0YmBZ+U5S0kJjSVwx4X/3edIyw5Z1RreNp/a3Rcx8CoqaCTo+OTk5LFiwgKysrFbV2+E9E5JGS1S/4dTs2YLf60Wl6fBTFghOObRmK9mX3kn5umWUbV+F3+1Ea7KSNGIGsX3HoNZ3ngDKluB21lBbEeiQun/zZ+Sqv8bvC1S29PuPFgAyGKLbZX6CFtBFPROTJ09m06ZNXdCYkCRsg8dRtW0tzpKDmJIz2ntKAkGXRGu20m3MLJJHnYMs+5FUqk4Zx3S8Lqey34e9tgRJpcLndeOsK8Pnc+OyVyDLMjUVuUFZncGKyRRPVcVeALJ7n0tZ6Q40GgMxcaImTqdARplLuVE9nW8p7/XXX+fqq69m69at9O/fH6021NU3a9asFunt8MYEgLuqHABNRGQ7z0QgEEgqFVLHLp7bKLLPx5bn7yGq9zDSpl2Oq7qcyu1rqd67CVdFcQN5rd6CJEnoTdFkDjiX6MS+GEzR5G38gqqKvUTH9MTtrqOyfDcADseZmEydO8hUcGqzatUqVqxYwaJFixpsO6UDMAFc5UVoIqzorMKFKBAIToDD6eZVO3/FU1NJ/aH9SBot+uh4YpL64/d5qCzZFRT3uGrJ6Hc2KdmTQtRk9TqHrF7nAOD3+7BYk1Gr9RiNbdvFU9A6yBztdN/VuP3227nyyit58MEHSUhIaDW9ncKYqN61sb2nIBAITgF8zvrg3/WHDhee8npwlhXilAuO+5qYpP5N6lSp1MTG92u9SQoEbUh5eTl/+tOfWtWQgE5gTFTv2oi7spSIjN7tPRWBQNCJsZcUsPf9/4aMGRPS8NRU4HM7kH2g1hrRGSyk9pyMLbEvGm34mRiCTkYXDcC84IILWLp0KT169GhVvR3emKjauR6A1LOvbOeZCASCzkzBkg9BDk3/lFRqItJ6YrAlkqjviTkyqVMGlQpaQBcNwOzZsyf33XcfK1asYMCAAQ0CMG+//fYW6VVmTKhVIKmDTyVd+Mnhsir8D6jGfswTtxdzYgY6nx7J3lDWrSAm02MO/8QryZFXKakroMCS9Sqog+APv3SEotx7jSN8xX5t+MfXpw9f1q+kx5uCfZPVzcscQVJwfNuqwq6imipKap8okPUo6MUlK/hNVvSdrEA2ouDoBZGYdRoFdYtw26voMf5KYtIHh8i6LRL1hIesDv/iUVRTpY2uHbWneZlGZTvf76WgCV5//XUiIiJYvnw5y5cvD9kmSdJJMibaAVv2MPKWzGf/V6+RMe0a1KJ7qEAgCAPZ7+fYX8K4zOFoDRHs/uG1Tl/WW3BiSLKym6pG6YTLHDk5OW2it8P786J7DqPHzD9QX5RLztdz8HsVmNgCgaDLUZe7m53/vY8d/7obV11FyLbdP7wGgCm6W3tMTSDoMLjdbnbt2oXX2zpt9jq8MQFgSelJ5tk3Ul+UQ+nmH9t7OgKBoINSsX4F+R+8jN8dqCeuMx1dB3XWlgX/bq1+BIJOjNxKj06G3W7n+uuvx2Qy0a9fP/Lz84FArMSTTz7ZYr2dwpgAiEjKJDJzINU5W9p7KgKBoIMgyzLVOzay/Z93UrZmCUXfLQAg66a/0vfep5FUgdiG+ooCtnz5bwDis8e223wFHQhZap1HJ+O+++5j06ZNLFu2DIPhaLbSlClT+OCDD1qst8PHTAgEAsFvkWUZd3kJ++b8MzhWsvyr4N+1u7dgG3oaoMLjqCVn9QfIPg+Jfc8gdchZ7TBjgaBj8Nlnn/HBBx8wevToEA9d37592bdvX4v1dipjQqXR4nXWB/oCiPQtgaDLUp+7m/wPXwkZS5h8HvqYBPI/fIXiHz6n/JelxKQMxl5ZgL2qkIxRFxGf3bDzsKAL0kmXKFqD0tJS4uPjG4zX19ef0PJfp/pFjs4eirumHGdFUXtPRSAQtCNqfWgxqeQZlxIzfAIR3XuhsUShjYpBbTBRvPNHaov3kT3hKmFICATAiBEj+Oqro168IwbEa6+9xpgxY1qsV5FnQlKrkY6pM4E6fFtEcrnDlrXmHj9jw+CKZR8SVSuXEtf/AlQqDdU9tMeVPR5OW9ii6GrCl/WZwpdVUttACX4lehVY5JIvfGElshpn+HOQVUqKJoQv6g+/TIqi8+ZToNcf/uULCrp8axzhy6rC/2gqQkl9hXDPxa6/34lt7OlEj50UMq5N64bvsH0Re/p0ir54H210oE9G/GlnoRsxMOwaEuGgpIaGkls2lUuBrILaJ6rWCdg/tehiqaFnnHEGCxYs4IknnmD69Ols374dr9fLs88+y7Zt21i9enWDuhNK6FSeCZ3eQs8BF1FyaCNb183F5xNpogJBV0D2+9nz1F8BcBzIpWrtypDtJYs/RT5c3TJyyEgM3dLwVJaTdf19xI2ectLnK+gEdLFsjmXLluF2uxk7diwrV67EbrfTo0cPvv32WxISEli9ejXDhg1rsf5OFTMBkJgyDIMxmq2/vsGvK/5LatTVmOJT2ntaAoGgDanftwu/I1AC15jRg/Ll34Zsd5cW43PY0ZgiANBGx+AsyMdekIM+Ou6kz1cg6MgMGDCAefPmtarOTuWZOEJUTCZDxtyGSqVhz4dP46wsbu8pCQSCNuRI3QiAip++b7DdZ68n94Wngs89VRUNXicQHKWV0kI7kWcCoLa2lpqamiYfLaXTeSaOYLYkktn7LLaum8uud/9J1oV/JOfL1/G5QheLLWm9yDj7elTqTrurAkGXx9J3EJ7TZ1C2dFGDbdbBI6nZ+As+ex3eulrsuXtwHswDIHpQywPKBKcwrVROu1VKcp9Eevbs2eg2WZaRJAmfT0kToKN06l9YjfZo5OPeT/53XJna/F34XA5UJgVdswQCQYdCkiRs486gZst63GWhnkhDcirayGjKl3/Dvv88jHS4CZdlwDBxEyEQHMPHH3+MzaYgE0EBnfqTZolMoeeld1Obv4vCVQuD49kX/QlTQmrQ0hIIBJ0fSa2m+633kvf6MzgL8oPjjgM5xJ4+g/Ll3wAysuxHZTKTdP5sOE6nYYEA6HLZHADjxo07bo2J1qBTxkwcQZJUGGOTiR96OrGDJgTH93z0X2S/XxgSAsEpSMrsG9FYjvbckH2+kIDM6NETyb7nUfH5F3Q4XnrpJQYOHIjVasVqtTJmzBgWLTq6dCfLMg8//DDJyckYjUYmTZrEtm3bQnS4XC7++Mc/Ehsbi9lsZtasWRw8ePBk70oDlHkm1Go4ps6EpFHwcgXrMLqa8FM+1c5Aor4lJoMyjjYB85VXobeEunNUCvL0HQqMNyXl2f368E1ZXWX4ipXUQZAU5KcrqknRRnnvSmSV5P/7DM3LHMFrDP9AyBoFsgrmq3YquR7Cl1UpyLBWci6U1Nto7jjIskz1zyuo370DlU6Pt7Y6uM2RuxefPVBFQp+cgnX4qGCNC4+C1U2pZUvFzaLkmClZg1dy3lDw2fztuVBUU0PQJCkpKTz55JNkZWUBMG/ePM4991w2bNhAv379eOqpp3j66ad588036dmzJ//4xz+YOnUqu3btwmIJXMx33HEHCxcu5P333ycmJoa77rqLc845h19//RW1uvEfgvT09Ca3nyidepnjWKK6D0RSqYkfMJGkodPFWqlAcCrh81H61afH3WTs0ZO6LRsASL3xdmU3OYIuS6sEYCqUnzlzZsjzxx57jJdeeok1a9bQt29fnnnmGR544AEuuOACIGBsJCQkMH/+fP7whz9QXV3NnDlzePvtt5kyJVA/5Z133iE1NZXvv/+eadOmNfreOTk5CmerjFPG5pQkFXH9xlO86QcOrPyY8t1r8ftE2TeB4FRA0mjIeugp0m69G3Of/iHbHLn70MUlkHjRlcKQELQLv02vdLmaT0n2+Xy8//771NfXM2bMGHJycigqKuLMM88Myuj1eiZOnMiqVasA+PXXX/F4PCEyycnJ9O/fPyjTXpwyxgRAt5EzSR5xNnXFueT9+B6H1jVMIxMIBJ0TSaNBn5hM8uzrSLnx9uC4r7YGd2kxaovI2BIooJVakLvdbiIjI0MeTzzxRKNvu2XLFiIiItDr9dx00018+umn9O3bl6KiQM+phISEEPmEhITgtqKiInQ6HdHR0Y3KtBenlBkvSRKJgyYT328COz79D87KwvaekkAgaAOMaRmk/99f8Dns6GLj2f/4Xzn0zutkPfhke09N0MXQ6XSUlpaGjOn1+kble/XqxcaNG6mqquKTTz7h6quvDumJ8dvA4XCyEjtC5uIp5Zk4Qu2hPbiqS4jvP7G9pyIQCNoIXWw8xtQM/K5A1zjZ7cbvFUubgjBorb4ch+MujmRnHHk0ZUzodDqysrIYPnw4TzzxBIMGDeLZZ58lMTERoIGHoaSkJOitSExMxO12U1lZ2ahMU3g8Hk4//XR2797drKxSTkljQmsOpI3VFe1DljtZIrBAIGgS2eejdutGZFnGV19HycJPgttqN/3ajjMTdCo6SKMvWZZxuVx0796dxMREvvvuu+A2t9vN8uXLGTt2LADDhg1Dq9WGyBQWFrJ169agTFNotVq2bt3aJl6MU2qZ4wimmG4kDZ1G4fpv8HvdpIw+r72nJBAIWomaDWsp+fxDzH36U79ja8i2ks8+wDp0ZLu7fAWC43H//fczY8YMUlNTqa2t5f3332fZsmUsXrwYSZK44447ePzxx8nOziY7O5vHH38ck8nE7NmzAYiMjOT666/nrrvuIiYmBpvNxt13382AAQOC2R3NcdVVVzFnzhyefLJ1lwSVGRMqVeBxhDbKWVXXhd+cJ6JAe9zx7IQzMPc1sHfr51j9NpLTx+CxHF/2eHgiw0/M9iuoK6COCX/f/PWm5oWO6HWHLYo7QkG9AlX459ivDV+v1xC+rMcctiguW/jnwpcQ/kGLjK4PW9bpDv8683nDdw56ahp3nTbQawr/+OoqFJzjtrr9UPDbr01NAmhgSByh/MdvsU0NpMgpqsWgYA6SktoRSuq6KKlZo+RcKPiq9vtDJ+FTnXqGmUT79OYoLi7myiuvpLCwkMjISAYOHMjixYuZOnUqAH/+859xOBzccsstVFZWMmrUKL799ttgjQmA//73v2g0Gi6++GIcDgeTJ0/mzTffDLuGhNvt5vXXX+e7775j+PDhmM2hX7BPP/20sp06zCnpmThCcvpY6muL2bv9c/SGSFS9B7X3lAQCwQmiT04h7oKL8FZXoTZHUPZFaP2J2rU/Ez3lTOGdEHQ45syZ0+R2SZJ4+OGHefjhhxuVMRgM/O9//+N//zt+P6rm2Lp1K0OHDgVoEDtxIp+ZU9qYAMjqdy71dcVsWz+PBMMM4kZMRlKdkqEiAsEpT9XPK/HW16CNj8fv8RA9agx+l5OKbwJp4BpbDN6Kcnz1dWgiRKqooAm6YG8OgKVLl7aJ3lPemJAkFYNG3kju3u84sGoRrooSUmdc3t7TEggELaBs0efIx2RsVK/8CV18PKhUxJwzi+rVgcI9kuLahIIuRSsFTwqOcsobEwCSSk33ntOpUVVQtfNXIjJ6E91nWHtPSyAQKED2+7GdPg1XeTF169cBoE/uhtpiRRNto3rVSrxlgXx/dUREe05VIOhQXHDBBbz55ptYrdZgqe7GWLBgQYveo0sYE0dIOO0s3LWVHFw8H2uPfqh1Cjo9CQSC9kWWKf/uq5AhU6/e6FLTKZ77GgCWEaOIPG3C8V4tEITQHgGY7UVkZGQwHiIyMrIZ6ZbRpYwJfVQcMQPHcbDoPfB3kqtAIBDgqapEY40k4XeXU/zxu8Hxyu8Drce7P/FvVCIWSqAEJe2e21LHSWDu3LnH/bs16VLGBIDGHHB/euqqUBsU9CQXCATtRu6/H210W9KNNwlDQiA4ASorK3nnnXeYM2cOGzdubJGOLmdMqA2B2g37P34RbUQUSGBKykBniUZtNBPZczBqXfj5/AKBoO2Q/X6q164OPo87+3zUMVE49u/DvmsnMWfPwpTVsx1nKOi0dNFsjmP5/vvvmTNnDp999hmxsbHNxlM0hSJjQlKrkY4tYqSkaJU2/EI++MOv8qKrVlB4KEdFJClYTv8ThftXIalUyD4v1Xt3Ue2qxed1Ubz8S3oNuxRtdL+w9eoHVzYvdJj6+vDjNFzZzrBl2RO+Xm1t+K45ny78KShZP/QruBxcMQrmkGYPW7ZPYmnzQofpHlEetqxW8oUtW+QMf/1yY2Fy2LKu8vC9bl5T+CdO5VZS2Sl8Ub++4Rx8dgdlH7yPfctWLGNGEz3zbNQmEyo3mPv3B849LNnE/Nuo1oSitXIlnwsldQAVyJ7IfMO/mgWdgfz8fObOncvcuXOpq6ujsrKSDz/8kAsvvPCE9HY5zwSA2ZoIsh+DKRaN1ojX48TviyEqvhdlBRvZ8ctbRDiHYEhNB1nG1D0LXWx8e09bIOgyyLJM/v1/BSD+umswDxzQzjMSnFLIXSsAE+DDDz/k9ddfZ+XKlZx11lk8++yzzJgxA7PZTJ8+fU5Yf5c0JtzOGorz1zYYryzZzcjpf6Vg30+UFuykZsMvAKgMRtJvvQdtZNRJnqlA0HVwHSygduUq3EVFIbUkhCEhaBO62DLH7Nmz+fOf/8wnn3wSUp67teiSxoTeGMW4c/9Jcd5aqkr3EJs8CI3OgDkyGa3OTPd+Z2MeOgvZ58Nnr2f/vx4m5z+PYO7Zl/izL0AbbWvvXRAIThlkr5eyLz6jdtVqNLZo9N27B1ZIJIm4Sy9p7+kJBKcE1113HS+++CLLly/nyiuv5JJLLiE6OrrV9HdJYwIClTETM0aRmDGqcRm1Gq+9HuvwMXirKnGVFJH7/FNEj5tEzMSpSG3U6Ewg6CrIskzJJx9St2kDtvPOxXraWPG5EpwUOtMSRWvw6quv8uyzz/Lhhx/yxhtvcMcddzBt2jRkWcavIE6xMUQ+1WH8fh+1Ffn4faHtAAvnz6Fm3Wo0FivpN99F1OjTqPjxew7OexlvXW07zVYg6Pz43S72/+Uu6tavI272pUROHC8MCYGgDTEajVx99dUsX76cLVu20LdvXxISEhg3bhyzZ89ucfVLEMZEkLKCTWz68X/kbl8UMp4w62KAQIdCo5G4qeeQcs0tuMtKODT/jZC1XYFAED7uoqLg3xHDhrbjTARdDrkVH52U7OxsnnjiCQ4cOMA777yD3W7nsssua7G+LrvM8VtikwfgdtYQHX80Z132+yn/cQnWwcNJvGB2cNyUkUny7Os48Npz1Gz+FcNwkecuECih9PMF1K4LBDgn33RbO89G0CXpYgGYjaFSqZg5cyYzZ86kpKSkxXqUGRM6LaiOKTygD78IgWwIv7CArA3f1alyesKW1VU27YjJjB0LfqDSjSXXAEg4cvbgAKJMGcT1HhOUtZBGua0bnq37cLrDq0khyzJaXw2+Ogfa+CgkVdM58PWV4dcK8Cs4kz5FhT8V1KRQUOvLHRW+rCcmfO9PRkxV2LI9LeF/cKo8prBlD9aHXzviUFX4ss6q8GuJSJ7wz5usCf8b0a/Al+nXNlyHrV35M3Ur1uDOP4h5zAiiZ05HHWmF8MvFgF9B7YgO8GUvK1m5UbJrbVTJ+bdlUvyi0ESXIT6+5SUQhGeiGQZc/Ff2L3sbvTW2wTaVVkfF3nVof0pHpdPiq3Xgq7Xjr7MH/z7y8Nc68NU5ggW5Eq47k5hZYxroFAhOJWS/H29ZOSBhX7+JqoWLAYi54mLMo4cHmw8JBCcTia5XZ6KtEcZEM+gioul9zu3H3dZt2Fns+up5ip/9JDimMhtQW0yoLSZUFiPa+GgMWd0CzyNMuHbmUPPTVioW/ozaYiJiWDYaa/h3vQJBZ8GxbSclL845OqDRYOjTE9tF56JNEEXgThTZ78eetxdTWg8RuCpod4QxcQJEJHQnIrEHTn85Sfdejj4lttkPtXrKAAwZCdT+sotDz34GKglTv3QsI3thGdkbXULUSZm7QNDW1P64Kvi3JiGexDtvQR1hbscZnTrIfh97XngEX30taZffgjktq72nJOjiCGPiBEkfeyE7f3iR6i9XkXDr+c3Kq/RaYi88jdgLT8NTUUvd2t3U/ryTknnfUzznGwzdE7GM6oVlVG/kyAzhBhZ0Wny1dQAYemcTd+NVqAzhx3wImkFSYU7LQvb7MKX2aO/ZdE66cABmVVUVH3/8Mfv27eOee+7BZrOxfv16EhIS6NatW4t0CmPiBDFEJRB55ggqPl6OxmYl5rLJTcoXv70E2e0h4aqpaG0WoqcNI3raMHx2F3Xr91L7807Kv1hD6fvLUcdGYxraF9OQfuiz09vMlSn7fch+PyAF/knS4b8P/y8QKMBXX0/Zhx/jzjuAdfpkomdOb+8pnXJIkkS3865s72kIOiGbN29mypQpREZGkpuby4033ojNZuPTTz8lLy+Pt956q0V6hTHRCtgumEDFgh+p+GQ5kWeOQBNjbVS2/JMVAFR8vZa4SyYSe/44ZL8fv9NN5Gn9iDytH7LHR/22XCqW78X+yxZqv12JKsKEcVBvTEP7YeiXjUpBJk1T+L1udsx5BJ+zuW6bElqThczpN2KKbZnlKugaVH3zHfZNmzH06UnU2We293QEgoZ0wUZfR7jzzju55ppreOqpp0J6dMyYMYPZs2c38cqmEcZEKyBp1ESeMZTqb9eiMjWdH5n4h7MoeuVr9KlxlL6/jOrlm5E9PjwlVUQMyyb5tllooiOIGNwDKb0/8hWzcOcWYF+/DceG7dSvXI+k02Lol41paF+Mg/qgtrR8HdrvduFz2onMGoQ1sx+yfLgSiwzIfiT34U+LLFO2YxU5379J9jm3oouIavF7Ck5dZJ+Pmh9/AiD+D9ciqURdPIGgI7F27VpeeeWVBuPdunWj6JhCckpRZkxotaA6pl6ENvyXy7rwZf0KZFWe8JOg1a7wZVUKClt6XWoiJo+l5qfNHHjoTZIeuAGV4fieg4iKA0SkRjL93fOp2lvO9tfXUl9YS/TI3uR/u4fSp95iwM2jieoZyyZ6IalU6DNT0WemEv276XiKSrFv2I5j/XbK3whkkeh7ZmA1pCNJ0mFj4Ai/MZsPP61UycEBjz1QEjy6z3CsmQ3rZXgijv6tG5BN3jsvsv2Dx4ibOAPb6ElI0tEfC6+C+hVec/gmvSbSFbZst4jqsGUPOsJvcrOvMiZs2eqq8LNz5Orw66+oXeH/MEsKSu0rqYMgq5s+b9XLAoZExNhRSBpt2GvKv61t0KTsibcROGHkNrKRFOlVsAKp6Jj9VvZUXenshF6F1sBgMFBTU9NgfNeuXcTFxbVYr/BMtBK6lHiSHriewkdfp+Ldr4m9/rzjyrkqHRhiAj82UVkxjH3y6HpyRDcrO95az4+3LwQg8vypRM0KjcHQJsYROWMikTMm4quuxb5xB47126jO3Yp07Kf+t4Gbxz6XjnkuyxjjU9Hbmk/V09niyLzxHspWfU/JD1/iKMgj+dzLUWlbZ8lF0LnxO51Ufha4dm3nzmzn2QgEzdBFAzDPPfdcHnnkET788EMgEH+Tn5/PX/7yFy688MIW6xXGRCui794Ny+nDqVuxEduVZ6PSNbzrNMSZKVydj72kDlN8RMi23lcNpefsQdQV1PDt7A+oX7WhgTFxLOpIC5aJI7FMHEn0L+H/oPtP4LdfbTSRMHkWptRMCj57h7x3XiTlwmvQWqNarlRwSuDKPwhAxJhRqIyGzvg9KxCc8vz73//mrLPOIj4+HofDwcSJEykqKmLMmDE89thjLdYrFjRbGdPQPsguN4f+9hK+ekeD7X2uGgqyTN7Xu477epVGjTU94H439M5s07meCJae/Um/4ha8tdXkvP5vKtevEk3P2gHZ13FqHdf8GAgu1mektfNMBILmkeTWeXQ2rFYrK1as4JNPPuHJJ5/ktttu4+uvv2b58uWYzS2PvxOeiVbG2C+TpAdv5NDfXsKxZS8RoweEbNdZ9cQOTqJsc9OBLhGpkfiPY4x0JIzJaXS/4W6Kv/uUokWfoFu/gm7X3ITG0ng2i6D1cOzbR9HLrxB/5ZWYBwauM7/bjWPnTrS2WPTJySd1PhpbwAjWJiac1PcVCBTTWh0/O6ExcYQzzjiDM844o9X0CWOiDdBldkPSaXHtysM8sl+DiPaY/gnseHM9fo8PVSNNzfpcM4y1j/5A/botmIcPOK5MR0BjMtPt3CuIGX06+e+/SumXn5J02dXtPa1Oid/twblrD9r4OLQJgUAoWZbxllfgq6jEtWM/GpsNTXQ0sttN1fdLwOej6ttvMfbMxr5jBzXLf8SVnw+A7exzqPzuW2R3oItW0s23YOzRdgWOIidPonbZT/hqatvsPQQCwYlx++23k5WVxe23h7aJeP7559m7dy/PPPNMi/QKY6INkCQJy6Rh1Hy7Gk1sJJFnjw/Zbog24Xf7muwamj69J1sXFlI5/0tMg/siaTp27X1DQjdizzyH4gXv4SosQJ8kalEoQfb7KX35DZy79oIkYRoyEENWd1w5edSv3QCAymTCb29YD8R96BB59z/QYPxYQwKg8KUXMfbsiWPfPpJvuglD99ZdRtNERqKyWHAfOIh5UMc1gAUC6Lp1Jj755BO++OKLBuNjx47lySefFMZERyPm6pm48opw7StosE1jCgRm1uRWEtmj8ZTDqPOnUvjQczh37MU4oFebzbW1sAwaSsXSb6la/RMJF1za3tM5KXir61FbTSdc9ty5ex/OXXvRxNjwlldgX78J+/pNwe2RM6ejsdgof+89UKsxDx5E/bpfkQwGZKcTbVISuvh4TAMHoI2NRWeLRTIYkCQJn92Oc99eatevx75lCwA1q1Y1MCZkWaZ6yQ849uwFvw/rhAmY+vdTtG/GnlnYt2wj+pwZJ3Q8BAJB21BeXk5kZGSDcavVSllZWYv1KjMmdFpQH81QkBtx0R8PWRN+rKdfpyAuVEmutS/8ZGttffiykSuOX2ChtE5L3Z5tWH/UB5c6thoT8feORZeykR9u/5q0h65Cn378NWZzXwmVxYRj/QYix3Zvcg7O2PBTNHQNU4wbR0F+uj9ChS4tBVdpIV6Dv8kfIU1qPRD4AatbuRVPaSWmAT3QRFuQkcEvo42LAiDOWhf2HJy+8Os27K0Iv3ZE7b6GNSns27ZT/NocomZMJ/KMSchOJyqTCbWn4cfKdagA2evBkJYRMq4+7DjQRvXAPWYitVvWo4uNx11WEiKndagoWzgfgJ5/eyowOOvyRucrS8Dh8hxqlRld9iCs2YNwTSoi/39PUbdhA/rYJGwTp+AxeHHs3k3Fwi/xFBahT0tD0mooeWMuhh6ZJNx4Ayp9oBib5G36A2fq3Zf6Xzfgr6xDioloUvZYlNRBaKu7QVmJPdhWoettdafbNl+pnZsuGjORlZXF4sWLue2220LGFy1aRGZmy72VwjPRhsQNmkhdwR4Kf1lE4vAzUWkCP3QqrYa0R64h777Xyf3zq8RffSbRZ41q8HpJkoi59AxKX/sS6+lDMPVr2qDoCEQMH07xnDnUb9hAxNChTcpW/7Ce8ne+xVcTcN2X832ortH9SLzzojaba7jUrN1D4bzV+OrqSbzpRjQxMTh27ab4tUB77apFi6latBgASafDlNWTyHETMGR0R1KrqVjyLZXfBbbrklNIvPIatNG2kPdQabXEzziX+BnnAlC3YyuH3nsDAGP3LKLGTqLs+69PeF/0CYn0eOif7Pv7vZR/9zW1WzfhLgx4z3TdumEdP57os2eg0utx7NpF8dx5lL7zLvHXXhNWNUtDdqB7pX3HDsynjTjh+QoEbUYnNARagzvvvJPbbruN0tLSYADmkiVL+M9//tPiJQ4QxkSbYk3rQ+LwaRSt/46qfRtJnXQxWgJeCE1UBBn/vonS+Usofn0R7qJKtInRVH65hsTfn4N5cCBQLnLKcGpXbKHoPx+Q9p9b0URbmnrLdsfcty8RQ4ZQ8v77OPPzsZ11FipdQ6+J+2ApJS99jmXcACynD8bYOw33gVJ8NfX46hx4iiqo+GgZB//2BpF/PQt9fPtliNSs2YUrLxDUePCxJ49ukCSQZWIuuhBJp0Ol1+MpKaV+7a8ceu1FkCTU5gh8dUcDEr0V5RS89BySpCL+ksuJSAkNiCz9ZiE+px1fbeA1uvhEki+7Dm91JQDJs6874f1RabVYBg6ldvP6oCEBkPR/f0SlPerZMfbqRfyVV1A85w0qFn5JzLmzmtWtsVox9u5NzYqVmMYNF11vBYIOxnXXXYfL5eKxxx7j0UcfBSAjI4OXXnqJq666qsV6JTm0/vJxqampITIykinZf0KjPtp7QlGJbGP47mefQUk57fD9o0qWOepTwi+JbI9vernHWVnMgR8/pv7QPrRJNpJvPx9jr1Qg4Oav/OpnSt/6DnVUBN6yQDno7v+7DU1SoCqlt7KWnBv/RcTY/iT+6aLjfkGrN4XvUlayzOEJ/zDgig1cSrLXS9UPP1D1ww9o4+Kwjh2LedAg1KajysoWv4d9/W7Sn78DVSNl2e1bcyh65iO0Zi39/30pupjmDalEc/iZBOEuc1T+sJkD/z0asKTPzMQ26xz06WnHPReSXcaZn4enpAhvTQ3IMr76Ouo2byT6jKm4Dh6gbuN61NZIetz9ELLfT92OLfjdboo/fa+BPlOPnlgHDcc6eHjY+xZuWWb7vt3I0Qb0qamNylT/+BMVn35GxMgRxFxwwXGNwxCdO3ZS/NprxP/xDxh7ZYc1D409fKND5VFgoCi5+1Qgq2hZRkkp6za6W1ayNKRyhz73uZzseuZ+qqursVo7f9r33Llz+ePfnyD9sptPWJerrIji91+ktrZzZjCVlpZiNBqJiAj/96MxhGciDPat/xi/z0v2iJYFFRqiE8iaeTM1+Tso3PcNB/7+Nsn3XEzEkCwkScJ2zmj0qXEcePSd4Gty/vg8WR/9HUmS8JZVI+m01K3aSt3Y/lhG922tXWsTJI2G6DPPxNSnD+ULF1K2YAHlX3xB5KRJRE2ahLuoiJolv2KdOLhRQwLA1L87KQ9fS+E/5rLplrfo989LMGXEnsQ9AXdZDQefP7q8kPLX+9DGNj0HSaXCmNEdY0boslTceb8DwFtbQ93G9fhqqjnw+v9ArcGRsycop7ZYMaZ1p25bIADTvm839n278VSWE3P6tNbaNSBgqDTXJyVywnhURiPlH32M+8BB4q+5Gm0TNfyNvXuhS0mh+utvMfTMEt4JgaCDciK9OH6LqIDZDLLspzjnZ0rzf8VRW9L8CxpBUqmIzOhH2sNXYeyXzsEn5lO3/ugPiHlQD2J+NyHkNd6KgAuhZtkGZLcn8Pd3awnDmdQh0KemknzLLaQ9+CDWsWOpWrKE/EceofDllzFkdcN28enN6tClxDHwhavRWA3se2bxSZj1UbxV9Rx87stglcm0xx9t1pAIB43FSsaDjxB3wcWoIyx4a6pIOPdiki66EpXBQMyEKSRfcjU97nsMdcRRb4zKqKCTWitjGTGc5Dv+D7/Xw6FnnsVbWdmorCRJRE+bhmtfDo4t20/iLAUCBcit9OiEfPzxx1x88cWMHj2aoUOHhjxaijAmmkGSVKQPOCfwtyr8pZrGUBl0pNx7KRFDsyn45/vUb9wX3BY1dVjwb/PwnmhsAZeiu+Bouo590z6K/vvRCc/jZKKxWomZOZPUv/wF62mnYR07luT7rghmazSHLtpM6pXjqN1+iKp1Oa06N7/HizOvNHTM6aZkwWp2/uFFHHsOkfHgJXR/5j8hyzQnitocgXXkaJIvvYbu/3cfkcNGYxkwhKz7Hydq1GkBGaORhFkXY+7dn4TzLyV69IRmtLYtuuQkkm//PySNhqrvvm9S1ti3DyqTidJX5+Krqz9JMxQIFNBFjYnnnnuOa6+9lvj4eDZs2MDIkSOJiYlh//79zJjR8pRuscwRBt16TiQxcwxqTet0x5Q0apLvuoiCf37AgcfeJfGmc4iaPBRtjJWe7z9AwVMfUr9uN57iSnSJNmKvOJOyd74FWcYyfhAlL39O9YBMIqeGv4beEdDabNgOX6xqi7IfmJjxvYgcks6ef3/N4FevQ2ttnbv0soVrKZq7pOEGlUTMjGEkzJ6Axmqidl9DkZNBRO9+RPRu2Bq+vVCbTWhiY/F7PE3KSZIULLBV8sKrJN37p5MxPYFA0Awvvvgir776Kpdddhnz5s3jz3/+M5mZmfztb3+joqKixXqFZyJMTtSQ8HlcyPLRSCyVVkPKXy7FOmEAxa99jbcqUEtBpdPS7Z6LUZkNFPz9TWpXbsGQ1Y2Uh68l5e/XYZ08lMhpIyh5bSGl8xbjq+vY/TtaC0mSyP7zWXgq6jn0ydpW0emzu3DlNVy6so7pTe9XbqHbTdPRWFvPG3Gq4Hc4mg3CBNCmBHqDuA8UBLNhBIIOQWs1+eqEnon8/HzGjh0LgNFoDAaPXnnllbz3XsMA8HBR5Jnwm/X4j83mUFC0SkmGhk+vwMZpoiT1b2mu4M6xaFzhXyWqpm/SANg2/wk89hpSBz2OpDl6LAzDx1CzdBN1uV50qUd/uOJuv4HS5+dSNv8HdIOGhASxRV58LrLGRPV3a3DllxP3p6uRksPvHqlyh3/e1M6wRdGXh398nYnhz8FmOFxCupuauFHpVC7bTs9Z2Zi7NaziVu4I78ffUVjN7vvn4zlwNDUy+sKZmEcNQx1hxuEBx4Gj8lpHG2UQKEBS0iC0jbIY3PXleIqKsE6bhN/QdJpC1PSplL4+DwBdXFyrFZtSUlxKUeinkvkpUdwR4k874Y+eoG1ITEykvLyc9PR00tPTWbNmDYMGDSInJ+eE4vGEZ+Ik4Kotx2MPBFN6ikLX5+3rNqOKMKFNDq2Cqc9MI+qCqXiLy/GWlIdskzRqoi+eTtwtl+LYtIvqT7/vNEGZJ0q/209DlmVW3vwx9kIlpTyPUr5mP79c+XqIIWGbfSHWyRNQR7S8BW9XwLF9JwCG7OYbhpkG9g/+7a2qbrM5CQQtoovGTJxxxhksXLgQgOuvv54//elPTJ06lUsuuYTzzz+/xXpFzMRJQGOIwJY1HHtFAa49OXhLytAmxVO/ej11S1ehskYgqRveqRsHBfpxuPbko01omEVgHNSbqN9No+rjb6hd8jPqSCuauBiizjkTXbekNt+v9iAiNZrxr17MT7//kM1P/cCof89CUodvE5ev2c+hLzYGn0fOmk7kmaeHVd1RAM49+wEo+OtjWKdPJnrW9EZlJUnCOnkiNUuWU/z8q6Q+9reTNU2BoFlapdHXias46bz66qv4/QGv4k033YTNZmPFihXMnDmTm266qcV6xTfoSUCt1ZMxaTbR3QdTOf8zyl56m8K//YeaRUsB8NfUIfsbuozVtkg0cTaqFy7FU1zeYDtA5MxJJNx3I6YhA9DYonFs3Irr8Bf+qYouysjAu0+nfGMB6x5chLMs/GDO/Pd+puKXQEaIvk9PoqZPFoaEAmSnK/h3zeLjBK7+hiMNv3w1NSKrQyBoJy644AJqagKe3HfeeQef7+ia6cUXX8xzzz3H7bffji6MWKjGEN+iJ5HY3qPR9wn0LtD1SCfu/65H0uuQTMaQVtFHkCSJ+HuuBZ+fwgeeoW7Fr8fVa+idSczsC4mcHqjboMtIa7ud6CDEjUxj2CMzqNxWxMpbPsbraDpwxVVai6u8jqRzBgbH4m+4oq2necoRfcE5wb9jwzh+kkaDaeggAMrebnlwl0DQ6nShZY4vv/yS+vqAMX/ttddSXd36y45imeMkojVaiP/TjdQsWkr1wu+oX7WO1Of/0fRrEmJJ+sftlL30PtWfLcE8dkijd9LalGQkg4HapSvQXXPpKV95MHF8JhqTljV/+py63Aqi+hy/+yrA9se+omZrQdAvmXHDacjtWASqs6KJi0EdacVXXYNpyMDmXwDYLjwP+/pNOLbvRPb7hSdIIDjJ9O7dm/vuu4/TTz8dWZb58MMPGy2N3tL+HMKYOMlIkkTkWWcgqVVUfbKIco0G04hBGAf0bvQ1KoMe69kTKX7sFSre/Izoy89BpW/ojlLpdNguOZfyeR/gq6nFNGQApkH9UEd2/nr6jaGLDBgEdQeqmjQmUi4YyvatBcE7ibSLRpDXTrUjOjOSWk3MNZdR8uwrODZtwzS4f7Ov0VgtaOLj8JaU4ty1B2OfXidhpgJBE7SWV6GTeCZefvll7rzzTr766iskSeKvf/3r8fsKSVKLjQlxi9BOWM4Yh+XMibjzCyh97g1Kn5+Lu6AIAL/bQ91Pv4TEURh6ZhB1yQzqlq+leuFSZK/3uHojRg8n7qZr8DtdVLy3gOL/vX5S9qe9sGTGIKlVlG8oaFIubkJPMm+aGHyuJGhTEIqxVxaG3tlUfrKQio+/oOqrb4Mlxxsj4eYbkHQ67Ju3hv0+zrxcCue9QfXqVXjbwC0r6NpIrfToDIwdO5Y1a9ZQWlqKLMvs3r2bysrKBo8TKVqlyDPhNWvh2OJNCmo8eA3h1xXw68LXK6vDl1W7FZx6X/gmp9YRvqxtw5FDriGmxyzkzJmUbPiBsm2rKHvqdaJ6DKRi1zr8bicRxlT03Y52c4zvNxV3dg41C5dRu2gFaTfdiT4+EQBX6tGYC9Oo3phG9aZu5a+Uv/4R9l3b0MRGo02KQ1KpcMWE/0NqLAr/mOmrwhbFVWgIW3avsel+GLFXTOHAvG/x9x9A9pndGpVTHXO9SpIMfiXXWfjnWFEdBCXCSmirDpiHa7XE/O4CCv7xT2p/+AmAqClTGuzLsXVddJGxRAwfjnPPPqTfdP2UZRnJ4cdZcIC67Zux9BuE3+Oh6ON38NXUYN+2jbJPPyHpiusD1UCV3A0qsRmVlBJRctra6Fy01Xx/23E23A60go6P1+vlqquuwuVyNS+sEHGZtDOSJJEwdDLZ592GSqujYtc6DFGB1uPV61Y3yPKIPyuQByx7vRS89epxs0COYB41GF1aMqXPvEnhX/9L6Qvv4Hc1DPTs7NhmjcHYL53Kr39pUi562NHAVGdxy2pUCAJo4+NIuudoiey8P92L39F0hTONzYbvOB6Gqm+/Ze9D93Dw1eeoWrGMA688S8EbL+KrqcEybCSRo8YBUPjOHCqWfddlaqoI2pguFIB5BI1GwyeffBKSzdFaCGOig6CzRNNn9l/of+0j9PzdHaROuojq9T9T8PareOtqj8rFxGHKDsRXeGuqqN18/AwPCBS3Srj/JhL+8ntibrwYx+bdVH/xQ5vvy8lGkiQiJwzEvjWH3LdWU7Oz6LhypvQYpMNVWws+33gSZ3hq8tsCX5JB34jkYfw+OM46bcTQYQ3GDGkZRI2biG3CFOJnXkjipYF13PLvF2Hfu6vlkxYIOLxE0VoltTsZkydPZtmyZa2uVwRgdiAkSRVcy4/pOwZ/mo2iBfPJeeYxIvoMJHbKWWgjo0i58vcA5L30H2o2rcc6eESjOlV6HYZemciyTPlrH1Lz9TKi+o9plVbaHYnISYOwb80l/4N15M5bTdyEbKKHZ5A4tQ8qXeAylySJmNGZlP20hwMfrCN9/KXtPOvOjTrSispsRh1hxlNcgux0IjWRIeMpKUUbH99gXBsXS48Hn8Cesxd9Uje0kVENZMy9+gb/9h1jXAsEAmXMmDGD++67j61btzJs2DDM5tCbglmzZrVIrzAmOjDmrF6k33I31evWUPXLCgoryki9/rZgal3k8DGULPyY/NeeI/7h3zeZcle3PLAEoI6JQtKeeCv1joak1ZD8pwtJiKji0FdbKFq8ld3PfE/eO2uI7JeMNtqEJTuBtNkjKftpD4BIUzxBJJWKtCf+jruwiENP/BvHzt2YhwxqVN5TWoo2Pu6421R6fZPdUWs3rAv+HdG/8fcQCMKmC2VzHMvNN98MwNNPP91gmyRJLV4CEcZEB0cTYSFm0lRM3Xtw4I0XqFq7kuhR4wEwHA7OdB7IpWbxT0SeNbFRPY5NO9H3SCPxr7egKT31jIkjSGoV3WYNotusQdTtK6Xw6y3U7S+ldk8JBQs2BIKGVRL4ZfxOJ2qT6Ap6omgTEzD26UXZu+/j3J+LdeJpaGNjQmRknw9XXh66pJaVea/dugkAy6BhqLQn1sFXIOjK+JuIszsRhDHRSTCmZ2LpN4ia9WuDxoQuJg4kFch+rGeOa/L1GlsU9gOFuA8UUvrB95j79sc6YuTJmHq7EdEjjuw/nhF87iqtJfftNdTtLaVubwkqQ/gZJYLGkSSJuGuvpOqb76lZsgzX/hyS7rodiaMZXPUbNgIBw6MlJF9+HeXff411xJjWmLKgq9MJgyc7OsKY6EToE7tRt2MLPns9apMZld5AzKSplC/9hprvVhE5Y0KjrzWPHULtj2sp/NuzANi3bcPcfwDqLlQFUh9noeefprD+tveIHJQiljhaEZXBgO3cczD27knxi69Rs3wFUeOPesqqvv8eU/9+RE5o/BptUr9eT9zZgUwmT2UFuf/5B4kXX4llwJBWmb+g69Eqjb46oUHyyCOPNLn9b39rWUM+RcaEz6hB0hx9iZL8Y58hfGG/JvykaL8m/LPp14avV8lFonaG7zbS6MI/Drqq0PnqpAhknw/pUC262EDQTOLAKbhy86n+4gcih41H1UijFmNMD1Luu5ey9z/EuScQM1D49utEXzQTfUbqcV8D4LGHf4mYSsI/aOaC8M9FTVz4HoTCZhLqa1ZupXZnESkPXY1KwdKgHH6ZFGQF16RPwWfo2LoNzaFSkAGs8rRerQtz916Yevem8tMv0LjVRI0ej6voEJ6SEqJGjkdTf/z3UitIe6/eFih8VfTh2xR9+DYZt9yLPu74Hg+/km84Jbalkh8RJYe3I1RB+u0cOsKcBK3Gp59+GvLc4/GQk5ODRqOhR48eJ8eYELQvh777AABdpC04JqnVJJ9+AbvnPk7NTz9hHjIErc123NdrbTaSbrkJv8mHY+tOKj/5iqIn/oc2OZHoi2di7JN9UvajvZD9fsrmL8E8rCfmgZm4D7b3jE5NVBERAJR+9Sk1v/6CqyhQnbR+1zaiRjW9HAfgLDzIgfdfxdp3CPFTZyH7ZdylhUhaHfrYBCKHjsbQLY38Oc8BkPviP0n//Z0YklLabqcEpx5dNABzw4YNDcZqamq45pprOP/881usV/h5OwnHliv+bQCaLiqGiBHDqfx6EQcffQznvuZbkBv79ybpwT+hS0/Bc6iIkmdeC5bzPlVx7DyAp6gC27nN/6AJWk7k+AlobDbUFiuqYwJcE393eViv93s9+OrrqFz7EzVb11P4xXxy5/yXnJf/ibeuFpVWhzElg14PPU3clEAX05LFnzajVSAQNIbVauWRRx7hwQcfbLEOYUx0Emr3bwv+XbNvW4PtsRf9DrUl0NDLdTC8W25JpSLh7puPPj/F+1XUb9yL2mrC2OfUb9HeXjj27Eal12MZNRpzn/747HYkjZaMOx9AbTI3rwCw5+wGSUIbFUPZT99i7T+UiOx+JJ07G7U5IkS2/KfvAYjoPTBghLiarsIpEByhPYpWPfHEE4wYMQKLxUJ8fDznnXceu3aFFmErLi7mmmuuITk5GZPJxPTp09lzeGn6CJMmTUKSpJDHpZeeWN2cqqqqE2pNLpY5OglqkyX4d/7nc4geMIakM85HpT5ckEmjQaXXYxgyGOv408LWq9JpSXn6YQ7++VEqP11E1Kwz0cTFotKdeumj9q05mPp1F4GXrYwsy9T+/DN1Gzfg3LsXbUICnuJiAGLPOo+okeOQ1OEFndTu3kbZj9+ASk3KpTeQ88q/cB7MI+WS64++3zHyapMZv8uJMTWDQx/Oo37PdjLveBBtZHRr7qLgVKOduoYuX76cW2+9lREjRuD1ennggQc488wz2b59O2azGVmWOe+889BqtXz++edYrVaefvpppkyZEpQ5wo033hgSTGkMM5j+ueeeC90FWaawsJC3336b6dOnK9uhYxDGRCfB3K07tsGnUbFxBQCVW1bjqasmdcblqA1HLyJJrwdZxlNW3iDXvzHUZhMxV1xI+Zsf4tgY8Hp0e+I+NLZT5wvZ73Dh3FtA5PWi4FFr43c6cebl4S4oQJ+ejnX8BHSxsRijksM2Io4QrLbt91GzeR2SRoPPaW9UPuPme6jZ/Cv6xG6Ye/Sifs929j/zKD3/9p/jtlgWCNqTxYsXhzyfO3cu8fHx/Prrr0yYMIE9e/awZs0atm7dSr9+gSJuL774IvHx8bz33nvccMMNwdeaTCYSExMVz+G///1vyHOVSkVcXBxXX3019913Xwv2KoAwJjoRyWdcQHT/Eex7J3Ax2Av2s2fekyScdg7abkMx9e9HzcpV2Dduwu90YuzXF8e27ST8/kZMfXo3qTtizHA0sTEU//slAKq//B7bFRe2+T6dLJx5xeDzY+jVeOaKoGWojUZiL7gA6eKLQ37AJYfyH/OI7H5kXP8ncuf8l/JVS0CSqFq/mrgzzgkxmo+g0uqIGhaoPRE9anwwdqJg/mukXP77oNyR5mDCwBAcoVXSOg/rqKkJbRyo1+vR65vpVQPBZQXb4aD5I908DcfUwFGr1eh0OlasWBFiTLz77ru88847JCQkMGPGDB566CEsFgvNkZOT06xMSxD+3k6GMT6Vfn/6D31ueYysq+/BnNKDgm/eo+ilV7COH482Nga/M7Bu7NixEwD7jh1h6TZkdyf1uX8QMWEUdSvXUvz0K3iqWt7fviPhLakCQJdw6nhbOhIqrbbVfqgNSalk3HhX4MlhI6Bs+eImXnGU+OnnAVC/d2dwzOews/dvd1Gx9JtWmZ9AcCxut5vIyMiQxxNPPNHs62RZ5s477+S0006jf//+APTu3Zv09HTuu+8+KisrcbvdPPnkkxQVFVFYWBh87eWXX857773HsmXLePDBB/nkk0+44IILWjT/vLw8tm/ffsKVMZXVmdCrkLRH7Q+/Ag+m1xi+3aIkp1/yKci994ZvikoKjquiXHYFqButFSCBygh6IxlTr6K292hyv3mTohdeJvmK63Hm56Lvloq7uIiij95GLWvR1B09Ti5r48dB0mixXX0BplGDKH/jI/LmPkvCX36PNvH4PRWOxZoTfpxFREH4B9hrCL98siv2+HNw7XWiMhjwFcdwJC9GSZ0JJedYyedCUim4JhWY/kpqwLQZJzBffVI34qbMpPT7hQA4CvKOyjRxyCKHjkEXm4g2OgYOB8h5SksAkCR1k3ejSjqbK/l+UEJbnTdF8+0qdSZaKa1Tp9NRWloaMhaOV+K2225j8+bNrFixIjim1Wr55JNPuP7667HZbKjVaqZMmcKMGTNCXnvjjTcG/+7fvz/Z2dkMHz6c9evXM3To0OO+37x586isrOSOO+4Ijv3+979nzpw5APTq1YtvvvmG1NSWeW87wleO4ASxpPYk9ff/B8DBOS8g+3zoYuKwDBhM9ITJVK1chvNgviKdht49SPzrbUhGA6XPv4PfpaAKUgfEZ7eDRqzqdSaiho8N/q05nKl0PHwuJ+Url+Bz2FFptOhi4nAVHs1oMqSkk3rj/2Ebf0ajOgRdELmVHgRSK499NGdM/PGPf+SLL75g6dKlpKSE1kcZNmwYGzdupKqqisLCQhYvXkx5eTndu3dvVN/QoUPRarUNsj6O5eWXXyYyMjL4fPHixcydO5e33nqLtWvXEhUVxd///vcm590Uwpg4RdDFJZBy7c0Y07pT8sVHFH38LgDR4yahsUZx4NVnqdvZMKW0KdTWCOJuuwJvaQWlL7yL7PG2xdRPCn6nE4218R8kQcdDpdPT7bIbiD3jbOKmzGxUrn73NsqWfMXef/2V2h2bqPp1NYc+nkfVhjVAIE7CmJquOBhUIGhtZFnmtttuY8GCBfzwww9NGgiRkZHExcWxZ88e1q1bx7nnntuo7LZt2/B4PCQ10Uhv9+7dDB8+PPj8888/Z9asWVx++eUMHTqUxx9/nCVLlrRsxxDGxCmFxhpJ0qVXE3/eJdRt3Uj9np2ojSYy7rgPXUISNRt+UaxT1y2BuNuvwrljH1WfdN41Z19dHeqIiOYFBR2KiOy+xJw2OdDUrhEs/QYTOzlQvKrws/eCjfCKF36I3EYdEgWdm9aqMaE0iPPWW2/lnXfeYf78+VgsFoqKiigqKsLhcARlPvroI5YtW8b+/fv5/PPPmTp1Kueddx5nnnkmAPv27eORRx5h3bp15Obm8vXXX3PRRRcxZMgQxo1rvCCfw+HAeswN1apVq5hwTK+czMxMiopaXrhQ+H1PQayDh1P98wpq1q3BnN0bV0kR3qpKzD37tEifsV82UedNoeqTb9Cld8M8ZnDrTvgkIHs8gbRZwQnjd7lw7N5F3aZNuIuKQAZNVCS6hESQJHz2eky9+yC5fMgeD4bUdPQJLWs9Hg6SSk3MuDOwjZ6A7POh0h09z1W/rCR69Pg2e29BJ6Yd6ky89FIgW27SpEkh43PnzuWaa64BoLCwkDvvvJPi4mKSkpK46qqrQipT6nQ6lixZwrPPPktdXR2pqamcffbZPPTQQ6ib8L6lp6fz66+/kp6eTllZGdu2beO0047WJCoqKgpZBlGKMCZOQSSVCnPv/lSuWErlymWUf/812pg4IkeObf7FjWCdPh5PQTFlr76P3+3GMrFztS9X6fX47Y3XKxAcH9nvx7F7N3Ub1uMuLsZbVYm/vh4AXbcUjN0zQa3GW1lB/bat+OrrkZ1O6tauDeqQNBqsw0ah0uvRxSVgzMxCG9X6WTWSWoN0uIhb1PBxVK1bSenXn6I2mbEOPH5QmkBwMpHDiPK9/fbbuf322xvdnpqayvLlyxW/91VXXcWtt97Ktm3b+OGHH+jduzfDhg0Lbl+1alUwq6QlCGPiFMU6dCRVa36ibPEXWAYNJ/68i1GdQACipFYTc+PFqIwGKuZ9iuz2YJ3aOXpcyLKMp7xcxEwowFNWRu26tdSuW4uvuhptQiKGjAzMAwYgqdXokpMCngiVKlDO12BApQ1k0vjsdryVlRiscSBDxdJvqdu+Bdnnw1tVCYDaYsGQkk7SZVe3SSxDwlkXEj16IjnPP47r0EEYOJQDc57H73ZhGz8FrS0GQ7JoDNaVkZSk77ShjpPFvffei91uZ8GCBSQmJvLRRx+FbF+5ciWXXXZZi/ULY+IURRsZRcYd9yN73GisLXddHYskSURfPhM0airnL0RSq7CcMaZVdLcl3vJy3AcPEn3YjShoHNnrpezTT6j95RdUBgMRQ4ZiGTESXUoKfoeDiq+/ovbnNQ1fqFIRPW060ZMnozaZUJtMqFyBnMLY6TOJnR4IoHTk7qdk4QLcRYeo37GVwvlvknxloFS289ABPFXlSFod5qzeSEpyYY+DzhZLxh0PoIkIFPJxlRThd9gp/HAeAD0fefqE9AsEnQmVSsWjjz7Ko48+etztvzUulCKMiVMYtdEIYdZrDxdJpcJ22TnIDidVn36HedwwVPrw60C0B8Hqh7qOPc/2Rvb7KX7nLew7dxJ7/oVEjBgR9Da4iwopnPM6focD2znnoEtKBr8fd2kJFQsXgt9P3dpfiJ48ucn3MGZkknbbXRR9NJ+6Tb/ic9op/+EbcPmoXLMc2esBQGuLIenc2RhTG492Dwed7WhJ+cw7/0rlzysp//6rwP7KMpIkUbdzG4fmz0EbE0viRZdjSEk/ofcUdALaqTdHR+OWW27hkUceITY29oR1KTImvEYJtEcrmPh04VczaavCTkruXfwKKvQpKR7j04av16cgBtCvoNeWyhO+rORUsHOW46eDRp5/BnU/rcO+cSsRY4cA4IwO/ziY3eF/CjWO5mWO4KtvOAe1IRaVyYx7dy7WlKNlxZWcC0Vh27rwMwiUfBfJCu7UVQoqDcnqwCxcBw9h37aN2CtnY+ydjT1nF97KSjwlpdT+tAptQjyJ99yKJjoq+FrXsrJgtSd97x7U7NyAt6QcZJnIaVMC+g//aB+L7YZL0f+cRc3SH6leuwpkKWBISBIqgwFPRTn5bz5P/IWXYB0WGp+jpACTT3f0CFf/+kvQkLCdfQ4+E4CMszJQWdBTXsaBV/9H96eearaap9oZ/vGVlGRUt1WBKAV6Zanp56cKrVFOu7MfmnfeeYe777775BsTPk9oe1+/gkPZVhlasoIPqpIvIUXGhIJPm4KCnfgVXOw+BTfdfoeC0o+a4x9gyRSoHe+vd+B3BK4Lnyv8CXs94Z8Mnyv8k+FrpAO17PdR+fMKosdOCo4pOb5+BcJ+JaU1leBWcFF6lRjOgZiSmqU/Bp77fRQ+8wLe0rJA5y2tFsuEcUSeORnJoAmebwDzyKH47XZqlq6gbsXP1K34ObjNlXcAAMeOXejT0oj7/TUhHVtNgwZgGjQAAG2dCm9tDbUb11G5euXhicmUfPw+9Tt3EDfrfFTawxe5kuq0x5w3x/79ACTe+HsMaenBsvPWseOwjBqNu7gQv9uN7HI1b+R1MmNCyXef9JvL1y/aup+yhBMQGi6SHIY2p9NJt5RUKsrLWu2NBQKBQNA5iE9IIC83N6QBVWdl7ty5/N8DT9Br2k0nrMtRVUTe9y9RW1vbCjNre3w+HytWrGDgwIFER0djsVjYtGkTmZmZJ6w7LM+EwWCg4OAB3O7OXVJZIBAIBMrR6XSnhCHR1VGr1UybNo0dO3YQHR3dqkZQ2MscBoNBXEwCgUAg6PRItFLMRCcMwBwwYAD79+9vspR3SxDltAUCgUDQtWitJl+d0Jh47LHHuPvuu/nyyy8pLCykpqYm5NFSRGqoQCAQCARdhOnTpwMwa9askKylI1lXPl/LAsiFMSEQCASCLkdXXeZYunRpm+gVxoRAIBAIBF2EiRMntoleYUwIBAKBoOvRxStg2u128vPzG2RpDhw4sEX6hDEhEAgEgi5HZ1yiaA1KS0u59tprWbRo0XG3tzRmQmRzCAQCgUDQRbjjjjuorKxkzZo1GI1GFi9ezLx588jOzuaLL75osV7hmRAIBAJB10Im2FPmxPR0PvfGDz/8wOeff86IESNQqVSkp6czdepUrFYrTzzxBGeffXaL9ArPhEAgEAgEXYT6+nri4+MBsNlslJaWAoFiVuvXr2+xXmFMCAQCgaDLIcmt8+hs9OrVi127dgEwePBgXnnlFQoKCnj55ZdJSkpqsV6xzCEQCASCrkcXzea44447KCwsBOChhx5i2rRpvPvuu+h0Ot58880W6xXGhEAgEAgEXYTLL788+PeQIUPIzc1l586dpKWlERsb22K9wpgQCAQCQZdCkkHyt4KeVtDRXrjdbnJycujRowdDhw49YX0iZkIgEAgEXY8u2OQLAsWqrr/+ekwmE/369SM/Px+A22+/nSeffLLFeoUxIRAIBAJBF+G+++5j06ZNLFu2DIPBEByfMmUKH3zwQYv1imUOgUAgEHQ5umqjr88++4wPPviA0aNHh3QN7du3L/v27WuxXuGZEAgEAoGgi1BaWhqsM3Es9fX1IcaFUoQxIRAIBIKuhSy30qO9d0Q5I0aM4Kuvvgo+P2JAvPbaa4wZM6bFesUyh0AgEAi6HF11meOJJ55g+vTpbN++Ha/Xy7PPPsu2bdtYvXo1y5cvb7Fe4ZkQCAQCgaCLMHbsWFauXIndbqdHjx58++23JCQksHr1aoYNG9ZivcIzIRAIBIKuRxetgAmBPhzz5s1rVZ3CMyEQCAQCgeCEEJ4JgUAgEHQ5ulrMhEqlajZbQ5IkvF5vi/QLY0IgEAgEXQuZQDbGCevpPNbEp59+2ui2VatW8b///Q/5BPZHGBMCgUAgEJzinHvuuQ3Gdu7cyX333cfChQu5/PLLefTRR1usX8RMCAQCgaBLIXG42dcJPjorhw4d4sYbb2TgwIF4vV42btzIvHnzSEtLa7FOYUwIlqEBIgAAfppJREFUBAKBQNAFqK6u5t577yUrK4tt27axZMkSFi5cSP/+/U9Yt1jmEAgEAkHXo4ulhj711FP885//JDExkffee++4yx4ngjAmBAKBQNDl6GrZHH/5y18wGo1kZWUxb968RutMLFiwoEX6hTEhEAgEAsEpzlVXXXVCjbyaQ8RMCFrM/PnzeeaZZ467TZIkHn744ZM6n9+yYsUKbrjhBoYNG4Zer0eSJHJzcxvI7d69m7vvvpthw4YRFRWFzWZj3LhxfPzxx8fVW1JSwjXXXENsbCwmk4kxY8awZMmSFs/zrbfe4tJLL6VXr16oVCoyMjIald2wYQPnnXceycnJmEwmevfuzSOPPILdbm8gu379eqZMmUJERARRUVFccMEF7N+/X/H8wj2OAEVFRdx2221kZmZiNBpJT0/n+uuvJz8/v4Fsax/HG264gf79+xMVFYXRaKRnz57cc889lJWVNbpfZ511FtHR0RiNRrKzs48bzd5ax1HQgZABv9w6j07Cm2++ydy5c5t9tBRhTAhaTFPGxOrVq7nhhhtO7oR+w5IlS/j+++9JS0tj7Nixjcp9++23fPXVV1x44YV89NFHvPvuu2RnZ3PRRRfxyCOPhMi6XC4mT57MkiVLePbZZ/n8889JSEhg+vTpLW6S8/bbb7Nt2zZGjhxJjx49GpXbvn07Y8eOJTc3l2eeeYYvv/ySSy+9lEceeYTLLrssRHbnzp1MmjQJt9vNhx9+yBtvvMHu3bsZP348paWliuYX7nF0uVxMmDCBDz74gLvvvptFixZx//3389VXXzF27Fhqa2tDZFv7ONbX1/P73/+e+fPn89VXX3HDDTfw6quvMnHiRNxud4js/PnzmThxIpGRkbz11lt8/fXX3HvvvQ3y7FvzOAo6GHIrPQQBZMEpT319fZvoPfvss+X09PQ20d0a+Hy+4N//+te/ZEDOyclpIFdaWir7/f4G42effbZsMplkp9MZHHvhhRdkQF61alVwzOPxyH379pVHjhx5wvNs6pg+8MADMiDv3bs3ZPz3v/+9DMgVFRXBsYsuukiOjY2Vq6urg2O5ubmyVquV//znP7d4fk0dx++++04G5Ndffz1kfP78+TIgL1iwIDjWFsfxeLz44osyIC9ZsiQ4dvDgQdlsNss333xzs69vzeMo6Bi88cYbclRMljxhxj9P+DHstDvliIiI9t6lDoHwTByHnTt3ctlll5GQkIBeryctLY2rrroKl8sFwNatWzn33HOJjo7GYDAwePDgBsEsy5YtQ5Ik3nvvPR544AGSk5OxWq1MmTKFXbt2hchu2LCBc845h/j4ePR6PcnJyZx99tkcPHgwKCPLMi+++CKDBw/GaDQSHR3N7373uwbu1kmTJtG/f39+/PFHxo4di8lk4rrrruO8884jPT0dv9/fYH9HjRrF0KFDg89feOEFJkyYQHx8PGazmQEDBvDUU0/h8XhC3uerr74iLy8PSZKCjyMcu8yxadMmJElizpw5Dd570aJFSJLEF198ERzbs2cPs2fPDh6PPn368MILLzR6vhpDpQrv8o6NjT3uWuLIkSOx2+1UVFQExz799FN69erFmDFjgmMajYYrrriCX375hYKCAgDef/99JEni+eefD9H50EMPoVar+e677xTPU6vVAhAZGRkyHhUVhUqlQqfTAeD1evnyyy+58MILsVqtQbn09HROP/30JivhHY/WmB+AwWAIjrXFcTwecXFxQd1HeP3116mvr+fee+9t8rWtfRwFHYvWqDPRdhEInQ9hTPyGTZs2MWLECNasWcMjjzzCokWLeOKJJ3C5XLjdbnbt2sXYsWPZtm0bzz33HAsWLKBv375cc801PPXUUw303X///eTl5fH666/z6quvsmfPHmbOnInP5wMCrtmpU6dSXFzMCy+8wHfffcczzzxDWlpaiFv4D3/4A3fccQdTpkzhs88+48UXX2Tbtm2MHTuW4uLikPcsLCzkiiuuYPbs2Xz99dfccsstXHfddeTn5/PDDz+EyO7cuZNffvmFa6+9Nji2b98+Zs+ezdtvv82XX37J9ddfz7/+9S/+8Ic/BGVefPFFxo0bR2JiIqtXrw4+jsegQYMYMmTIcdfj3nzzTeLj4znrrLOAgCt/xIgRbN26lf/85z98+eWXnH322dx+++38/e9/b+70tSpLly4lLi6O+Pj44NjWrVsZOHBgA9kjY9u2bQPg0ksv5aabbuKuu+5i3bp1APzwww/84x//4P7772fq1KmK53P11VcTFRXFzTffzP79+6mtreXLL7/klVde4dZbb8VsNgOB8+dwOBqd5969e3E6nYrfvznGjRvHsGHDePjhh1m7di11dXWsX7+e+++/n6FDhzJlypSgbFseR6/XS319PStXruTBBx/ktNNOY9y4ccHtP/74IzabjZ07dzJ48GA0Gg3x8fHcdNNN1NTUBOXa6zgKBJ2S9naNdDTOOOMMOSoqSi4pKTnu9ksvvVTW6/Vyfn5+yPiMGTNkk8kkV1VVybIsy0uXLpUB+ayzzgqR+/DDD2VAXr16tSzLsrxu3ToZkD/77LNG57R69WoZkP/zn/+EjB84cEA2Go0h7taJEyc2cOvKcsCFnJCQIM+ePTtk/M9//rOs0+nksrKy4763z+eTPR6P/NZbb8lqtTrEld6USx6QH3rooeDz5557TgbkXbt2BccqKipkvV4v33XXXcGxadOmySkpKSFuZVmW5dtuu002GAwh76+Eptzzx+O1116TAfnZZ58NGddqtfIf/vCHBvKrVq2SAXn+/PnBMafTKQ8ZMkTu3r27vH37djkhIUGeOHGi7PV6G33f5paOduzYIffu3Ttk1fb2228PWaZZuXKlDMjvvfdeg9c//vjjMiAfOnSoqd1vlOaOY01NjTxz5syQ+U2aNEkuLy8PkWur43jks3LkcdZZZ8k1NTUhMr169ZINBoNssVjkxx9/XF66dKn81FNPyUajUR43blzwWLblcRS0H2+88YYcZcuSJ0578oQfw8f9SSxzHEZ4Jo7BbrezfPlyLr744qB79Lf88MMPTJ48mdTU1JDxa665Brvd3uDufNasWSHPj9zl5OXlAZCVlUV0dDT33nsvL7/8Mtu3b2/wnl9++SWSJHHFFVfg9XqDj8TERAYNGsSyZctC5KOjoznjjDNCxo64kBcsWEB1dTUAPp+Pt99+m3PPPZeYmJig7IYNG5g1axYxMTGo1Wq0Wi1XXXUVPp+P3bt3N3b4muTyyy9Hr9fz5ptvBsfee+89XC5X0CvidDpZsmQJ559/PiaTKWRfzzrrLJxOJ2vWrGnR+yth0aJF3Hrrrfzud7/jj3/8Y4PtTaVXHbtNr9fz4YcfUl5eztChQ5Flmffeew+1Wt2ieeXm5jJz5kxiYmL4+OOPWb58OU899RRvvvnmcYNdw51na+HxeLjkkkvYuHEjr732Gj/++CPz5s2joKCAqVOnBq87pfNTchwHDBjA2rVrWb58Oc8++ywbNmxg6tSpIdkufr8fp9PJ/fffz3333cekSZO45557eOKJJ1i5cmWDjJKTfRwFJ4dWWeYQAZhBhDFxDJWVlfh8PlJSUhqVKS8vJykpqcF4cnJycPuxHPsjDYEvRgCHwwEE1peXL1/O4MGDuf/+++nXrx/Jyck89NBDwRiF4uJiZFkmISEBrVYb8lizZk2D1LfjzQ/guuuuw+l08v777wPwzTffUFhYGLLEkZ+fz/jx4ykoKODZZ5/lp59+Yu3atcGYhSPzVorNZmPWrFm89dZbwSWeN998k5EjR9KvXz8gcOy8Xi//+9//GuznkWWQxtL8WotvvvmGCy64gKlTp/Luu+82+LGIiYlpcI6BYFyFzWYLGc/KymL8+PE4nU4uv/zyRs9NOPzlL3+hpqaGb775hgsvvJAJEyZwzz338Mwzz/DGG28EsyCOXHONzVOSpGAcQ2syZ84cFi1axIIFC7jhhhsYP348V111FYsXL2b9+vUhmT9tdRzNZjPDhw9nwoQJ3H777Xz66af8/PPPvPLKKyHvDTBt2rSQ186YMQMIpIIeK3eyj6Pg/9s77zipyuv/v++902dndrb3Diy9F0UEVMTee4w9RaPG2BJNMzHFmG8So0n0Z2JEjb1gr9gQRIGld1jYXdje2+z0e39/DAwsuwtzYZctPO/Xa18w9z73mXPrnPs853yOYDAiRKsOID4+HkVROgU+HkxCQgJVVVVdlldWVgLhYD69jBs3jpdffhlN01i/fj3PPPMMDz74IFarlfvuuy8SILhkyZKIM3IgBy/r6W1p9OjRTJ8+nQULFvDDH/6QBQsWkJ6ezvz58yNt3nrrLdxuNwsXLiQnJyeyfO3atbr362BuuOEGXnvtNRYtWkR2djYrV67kiSeeiKyPi4tDURSuueYabr311m77yMvLO2o7euLjjz/mwgsvZM6cObzxxhuRgMYDGTduHBs2bOiyfN+ygzXun3rqKd5//32mT5/OP//5T6644gpmzJhxRPatXbuW0aNHR2Ij9jFt2jQgHIcwZ84cCgoKsFqtPdo5bNiwTsGQvcXatWtRFKVTMC9Afn4+CQkJbNy4MbLsWB3HqVOnIstypxG18ePHdzvCpe1NC90XcNpfx1FwjDjO5LT7GjEycQBWq5U5c+bw2muv9fgGfNppp/H5559HnId9PPfcc9hsNk444YQj/n5JkpgwYQKPPPIILpcr8oZ07rnnomkaFRUVTJ06tcvfuHHjov6OG264geXLl7N06VLeffddrrvuuk7DxfsckQMdFE3T+M9//tOlL7PZrGukYv78+WRkZETEUSwWSyd9BJvNximnnMKaNWsYP358t/t68EhPb/HJJ59w4YUXMmvWLN56661unTaAiy66iK1bt7J8+fLIsmAwyPPPP8+MGTMiI1QQ/sH58Y9/zLXXXsuSJUsYP348V1xxBU1NTUdkY3p6Ops2baK9vb3T8n1Ta/tG1AwGA+eddx4LFy7sFMS7e/duvvjiCy6++OIj+v5o7AuFQqxcubLT8u3bt9PQ0NBpxO9YHcfFixejqirDhg2LLLvkkkuA8HTWgXzwwQcAkXu4v46jQDAYESMTB/G3v/2NWbNmMWPGDO677z6GDRtGTU0N77zzDk8++SQPPPAA7733Hqeccgq//vWviY+P54UXXuD999/nz3/+c5e0uMPx3nvv8fjjj3PhhReSn5+PpmksXLiQ5ubmSKT6SSedxA9+8ANuuOEGioqKmD17Nna7naqqKpYuXcq4ceO45ZZbovq+q666irvuuourrroKn8/H9ddf32n96aefjslk4qqrruKnP/0pXq+XJ554otsH97hx41i4cCFPPPEEU6ZMQZZlpk6d2uN3K4rCtddey9/+9jecTicXX3xxl+P16KOPMmvWLE4++WRuueUWcnNzaWtro7i4mHfffbdLNsqhqKuriwz973u7/PDDD0lKSiIpKYk5c+YAYSXECy+8kNTUVH7+8593GYUZPXp0JDXwxhtv5F//+heXXXYZf/rTn0hOTubxxx9n27ZtfPrpp5Ft3G43l19+OXl5eTz++OOYTCZeffVVJk+ezA033MBbb70Vabt58+ZIrEx1dTUdHR0R9c3Ro0czevRoAH7yk59w4YUXcvrpp3PnnXeSmJjIt99+y0MPPcTo0aMjw/QAv/3tb5k2bRrnnnsu9913H16vl1//+tckJiZy9913R30M9RzHG264gUceeYRLLrmEX/7ylxQWFrJr1y7++Mc/YrfbufnmmyN99vZxfO+99/jPf/7D+eefT05ODoFAgKKiIv7+978zbNiwTjEl8+fP57zzzuPBBx9EVVVOOOEEioqK+O1vf8u5557LrFmz+uQ4CgYOEhqSdvTDCr3Rx5Ch/2I/By6bN2/WLrvsMi0hIUEzmUxadna2dv3110fEizZs2KCdd955WmxsrGYymbQJEyZoCxYs6NTHvmyO1157rdPykpISDYi037p1q3bVVVdpBQUFmtVq1WJjY7Xp06drzzzzTBe7nn76aW3GjBma3W7XrFarVlBQoF177bVaUVFRpM2cOXO0MWPGHHL/vvOd72iAdtJJJ3W7/t1339UmTJigWSwWLSMjQ7v33nu1Dz/8UAO0L774ItKusbFRu/TSSzWXy6VJkqQdeDlxUDbHPrZv3x6JtF+0aFG3319SUqLdeOONWkZGhmY0GrWkpCRt5syZ2u9///tD7tfB7DsH3f3NmTMn0u6BBx44pMbdgfusaZpWXV2tXXvttVp8fLxmsVi0E044ocu+fPe739VsNpu2adOmTstfe+01DdAeeeSRqL7/4GP4+eefa/Pnz9dSU1M1q9WqjRgxQrv77ru7zcYpKirSTjvtNM1ms2lOp1O78MILuwhe9eZx1DRN27Fjh3bNNddoubm5mtls1rKzs7Urrriiy3HQtN49jlu2bNEuvfRSLScnR7NYLJrFYtFGjhyp3XvvvV0ySTRN0zo6OrSf/exnWlZWlmYwGLTs7Gzt/vvv7yRQto/eOo6CgcHTTz+txcUVaKec+tBR/02f8RORzbEXSdOEayUQCASC44MFCxZw991/YOKko5f7d7tr2LzpqU7TYMcrYppDIBAIBMcdYpqjdxHOhGDQEQqFuhRkOhBJko5Yy+F4QhxHgUDQW4hsDsGgo6CgoIsOxYF/p512Wn+bOCgQx1Fw3HLIKCmdfwJAjEwIBiHvvvtupOhadzgcjmNozeBFHEfBcU1vTFEIZyKCcCYEgw49uhqCnhHHUSAQ9BbCmRAIBALBcUev1NUQIxMRonYmvF4vfr+/L20RCAQCwQDEZDIJ6XDBIYnKmfB6vbjsCfjUjsM3FggEAsGQIiE+kfKKPUPIodB6KWZCDE3sIypnwu/341M7mGO/DINkjCwPji/o1K6yejU7dn0AaGSmn0hr2x5a2zoXzXIm5DPqxBs4FJIa/QnSM1SlKtGXCzY3B6LvWAchc/QJNH5H9LNQeo6DoSMUfWMd6DpvavT9mpq90ffrj37fpED0bTUd147k65trh5COgybrKI2tp4y2jodnQ3spmxo+x6RYmJ56KbK0P800pAYpb99ESAsSVL3sblvHuJSzSYkZcXgTDNGnq0odOl6AgjqOb0jHPaRG3692iIDYLm112CD1UGum27YHOQxBzc+X1Qvw+/1DxpmQNH3PoEP1o4eHHnqIhQsXsnXrVqxWKzNnzuThhx+msLAw0qampoaf/exnfPLJJzQ3NzN79mz+8Y9/MHz48Egbn8/HPffcw0svvYTH4+G0007j8ccfP2TF675GV8yEQTJikA6opGjofGEZFBP7JpHKK7+JLJdlA4rJhsFgJmvU6RiMh74gB4IzYdDxwNKDZIjemVCNfeRMGPvImQj1jTOh51RISlCHDX3kTMh9lHGtDS5nIsU+DKvBybKqFylv30R+bLi6qaqFWNfwIXWekk7tN9Z+TFJMASbFdmgTdGhfSLKOa11PW03PPaTDmdBxI2uSDmdC7loBN+q2vfCjKwizePFibr31VqZNm0YwGOQXv/gF8+fPZ/PmzdjtdjRN48ILL8RoNPL222/jdDr529/+xrx58yJtIFyn59133+Xll18mISGBu+++m3PPPZdVq1b1mzZMrwZgpqZMpL2jBr+/nZq69QDMPekBFMWENyH6i1kgEAx+VE1lV2sRoLG9aSnV7u3EW7IIqj7qPWVMSj4fs2Jjc8PntPprSbTlYZCjf4MWCI6Kfpjm+Oijjzp9XrBgAcnJyaxatYrZs2ezY8cOvv32WzZu3MiYMWMAePzxx0lOTuall17ie9/7Hi0tLfz3v//lf//7H/PmzQPg+eefJysri08//ZQzzjjj6PfrCOjVVyhZNjCi4ByG5Z8JQGLCqC4Ke572OlrrS7rbXCAQDCFW1bxJtXsbANmOCcQYE6lo30x5+0Y0VBItObjMaQxznQjAiMTZnaZCBII+pRdFq1pbWzv9HUq/5UBaWloAiI+PB4hsd+B0kqIomEwmli5dCsCqVasIBALMnz8/0iY9PZ2xY8eybNkyvUeh1+jVkQl3Rx1t7ZUAZGeeTEXlcr5Z+TeSEkcjVcfg97ZRu3slADPO/V2P0x3ejia87npcScO7XS8QCAY+mY6xOExJjIibiSyFHzUhNciX5f8hoHpZtPsfzM64kWRbPvMKfoJBEaMSgsGH3+8nNja207IHHniA3/zmN4fcTtM07rrrLmbNmsXYsWMBGDlyJDk5Odx///08+eST2O12/va3v1FdXU1VVRUA1dXVmEwm4uLiOvWXkpJCdXV17+2YTnQ5E6rHi3rAPJ1xe0Xk/+UdW9jY+kWn9mbZjlmz0lizBX99EKsjObJu5Ue/x+ZMwR6bRt6kiwj6PZgsYcW9okUPATDlpr8e1iajW8cwk46pYW+C8fCN9tnQHv3cpaojAFPTcXZUHXPkmo63P6NHx4SpjqYBR/THIbh3njAaTDoCZ1VT9DYY2qPvV7ZEP6WnKxZDT4CgHnTETEje6NPD04zjSTtomYKZU4ffweaaT9jTvIblNa9yyrDbUAxy1Cn7mkFHLJGqI2BQR+CsZtXh+OgZ/9VxLmRv3wT6qhVVnT9rQ1ASQOu9Ql8mk4m6urpOy81RBLzedtttrF+/PjLiAGA0GnnjjTe46aabiI+PR1EU5s2bx1lnnXXY/jRNQ9IT/9TL9NrIhE91A5BtG0uTv4q2YAM+1R1ZbjTGYLa5UBQjLXXFqEEf7Y27aW/cTUdrDW0NpeROOB/FIN5OBIKhjCRJjEk9g1THSFRdgYwCwcDE6XTqan/77bfzzjvv8NVXX3XJwJgyZQpr166lpaUFv99PUlISM2bMYOrUqQCkpqbi9/tpamrqNDpRW1vLzJkzj35njpBecyby7JMJaUF2uVd3Wp5lHUOKJZ+qZDctdTtxN1d02batoRSA0nXvRJZlTDu3t0wTCAQDkAR7Tn+bMODRNI02bzUGxUIw5McbaCYY8mMxOjEGFQKql0DIi8lgQ5GMdASa0DQNpyUFq8FJUPXT7q9H1YJogEmxYpQt2IwuJKn7IZN9cW6SJKFpGkEt+gypQUU/BGBqmsbtt9/Om2++yZdffkleXl6PbfdNnezYsYOioiJ+97vfAWFnw2g0smjRIi6//HIAqqqq2LhxI3/+85+PcEeOnl5zJmRJZoTjBJzGJNY2fwyAUTJjkq3IkkLOuLOB8MEM+t143Y24mytpb9qDp7UWd0slanB/0EprxTZSxs2NDNt4mqrZ8+1bZE47F1ti/+XSCgQCQV9S27qNkrpv8Qc7ULUg3kBrr3+HhIwiG0myFxBvzaLZW4k30IqKSpunBtCQkAgwBKc49tEbs4Y6/ZFbb72VF198kbfffhuHwxGJcYiNjcVqtQLw2muvkZSURHZ2Nhs2bOCOO+7gwgsvjARcxsbGctNNN3H33XeTkJBAfHw899xzD+PGjYtkd/QHvV6bI9VSgF2Jwx1qAiR2uovY6S5idE0yisGMPS4DozkGozkGR3w2cAIAnrY61nz8Z/adnbbKHdRv/YakUeFhm+bSDbRV7mDL249EFUshEAgEg4nmjgq2VX9Kc0cFDksKiY58NE0j0ZGPLBkwKGasxlgU2Ygv2E7I48YgW5AlmXp3Cf6QhzhbJnZDPK3+GgIhDxoasZa0sD6QBIGQB1+oA7e/kUDIQ2nzSqratuA0J2E1xiFLMnGGOBRJQUPDJJlBg82B5f19eIYETzzxBABz587ttHzBggVcf/31QHiU4a677qKmpoa0tDSuvfZafvWrX3Vq/8gjj2AwGLj88ssjolXPPPNMv2lMAEjawbmb3dDa2kpsbCxzpYs6KWAaUpO7ba9qIbS9TsHWlqXs6dgYWWe0OBh32h2Yba4u29XvXsOO5S9idMRjcSTQVrkdZ0YhjvThVKx8D4C8OVcTXzA5so0unRkdgVAGT/Qup7k5eiOCVh0KmE4dQYpmHYFbwej3zdQefVvFH33bkElHwKiO+0OPMJnRHf2rieKNvq2hI/phYU2J/hybt1cdvtFe/MNSo24r6VDWVDqiD/qT/DqGx3UEjmlGHaJVOmzQE+CqWqMP0I5GzM0XaGfZ9n9jNjooSDmZZGfhYYPppJZ2ABaXP40n2LJ/ORIWgwOrwYnN4MJlTifRkI5FienSR1ANjzwYDhCq0traO7fR/HzW/iItLS26YwMGIgsWLOCeO37H1MLrjrqvdk8t68ueo62trRcsG9z0SdXQA3PFx7jmkmotYFXzB6ihAAFvG6vf/z0AiTlTGD79qkjbxOxJKEYzW5c+jdUVjgNvrdhGa8W2SJuSxS/QWLKWmJQ8mnatZeQZt6AcRlFTIBAIBiqaprF+95uAxJS8qzAbu/7oH4psx3i2NS2JfFYkEwmWbIKqn2ZfNeXt4Ze5OFM6mbbRpFmHR57RBh3KmALBoTgmJcgTzFmMnnMzZevfDwdb7pUFbijfQGrBiTgSciNt49JGkzB8Gg07VuLMHEVr+RYAJFlB2yt/3LJ7Ey27NwEQ9HUQ6GjDEpt0LHZFcJyhaSre9gbMmhWj6dAyzwLBkdDcUU5jeykTcy/T7UgA5MVOJdc5hVZ/LZXurVS2b6LJW8HklAuwG+PwhzzUtRVT2bGNDc2fsq11GVm2MaRah+EwJvTBHg0SeiUA8+i7GCocE2cCwJGQw9hTfsSu1W9QszNct0ML+dn4+T/JnXgByXkzUAxhLzn7xEsI+b20Ve8EQDaYsCVlY3Yk0NFQjqexMnIhrH/jD5gdiYy/+P5jtSuC44j68nVsL3oRgOFjLyYta0Y/WyQYzHj8LVQ3b6LNU4Pb10CHr5Gg6sNmjifRsb9woqapuH31tHvrCYb8+ENufP42QloQizEGq8mF1W8m1pyCQTYhSRKx5hRizSlkxYxjRfWrLKl4BqcpmRTbcBIMaUyOPxtPqI3d7g2Uuteys30lyZY8xrnmYTweZcxF1dBe5Zg5E/vIn3wJeZMuomT1mzRXb8XX0UTp2rfxtjeQXjgHTVWp3LKM5rINjDzvDrRQkNaqHTTsKKK9ppTYjBEkFZ6It6WO2k2LAXBljsLvbkY7TCEkTYeeR9Cro+COjiqcQTX6OfKAjoJRQX/fxEyoHX0UMxHQMUeuI9ZFjwhUqOPwc+Redz0AFms8TXXbhTMhOCK8gTbK6pZTWhd+kXLZsnBYU0hxjcJicJDoHE4w5KWyaT21Ldtpcu8mpO7PpDAoFixGJ7JkoL61GF8wPEcvSwrJtmGMcJ2EzRhOJYwxxTM78ybqPSVUu7ezq2U5O/amd5pkGw5jAimWfCo926j1llDctoJRsScf4yMiGGocc2cCQJJk8qdcAkDV9q8oXfcO1cVLqS5e2qmd2ZmEwWwlJjWf1HGnsOuL52jZs5mWPZuRDoiTqNmyhIaSNQS9nQOHBILewGCykZwxiYqSJfg8zZitrv42STBIUNUQ1Y3r2V71BZoWIsk5guzEqSQ6ClC1EPWtO2lo30Vp3be0eWuQkIiLySE/ZRaxtgwclhSMirmLJkRIDeJtqKDOU8K2piVUu7cxKv4UcpwTATDIRlLtI0i1j0DVQrS6q3AHm+gIttAWrMcdbCbelIFBNpFmPQ7LFmj0S2roUEafM6GpdDoDvSDdmTZiNok5U6guXorFnkDxypcByJ11JQajJVJaW1FM5Jx4GZtq/0rI50ZRDAQPCCwPettJGHUirvwJPX+ZjjdcPTLdeuS09WQx+JzRR63rUQ3WcxMZdWS1KDpGc1RD9MdB1XGVBmKi79fcEoW9mobJ7sIix1BR9jXr1ywgLnUklpgELDGJxCRkoxjMaJpKwNsGSNgsFiQ5unOn6TgOhuqaqNsGJkevxWLQMbKmp8y8rKOtnntT01Pi3RT9xaMpOq5fy+GzOfwBN+t3vERzWxmJzuGMyj4bs9FBY3spmys/orppE4FgB1ZTHHGOHHJSTyQxZhgmQ9fYnIMtkxUjMVIsJstIthEOvtzS+AU51rFdtpWBWJ+dWOwgZYKR8N8+fKD5DngROzi9UE86leC4pV9GJg7GaLaTNSZcNjUU9LFn66eULn2Z8qL3cGYUEps5ktiMUZjsseTPvoodi57qdhSio7aM7NmX9fg9eobLza06UkObok8/05Ma6kmI/iYORl++AklHOq2pTYdTpcMB0+NUhXQEnPtc0fdrq9PhKPk0hp/wXaqLv6ahfB2+jhbQVGSDiYTMCbQ3luFprQ23VczEJY0gLesEXAn5PSoNCgYnwZAPv8+N2RTbY/qmP+Bm5YZ/Ewz6mF54I7H2DHbXraSkain+YDsWUyxp8ePISJiEw5ayf0M9Dhhgki2cmHQF39S9Qqwx5fAbCCL0Vm0OQZgB4UwcSOqwk4gbfyIli1+kqXQtjTtX07hzFQCW2GRsiVldtpEUI1oogKehEjUYQDZEnwMuEERLXNpI4tJGAqCpITxtdVRu+5KO5kqszlSyxp6JJCt4ayqoq1rHhpX/IcaZQXzSSKz2RJJSxyMrR3fLaZpKOy14NQ8uKRGjJFL7jjXLtj7RRZWyMO9cEuMKsVpc4RGJrS8RCvmYOOq71NSuZ33JG3j9LWQkTiI7aTox1pSjLsqkaiF2tq2k1lsCQIZ91FH1d3yhiQDMXmbAORMAsqxgsOx71d5/srwttXhbagmX/9SQjVbSpp9FxdcLI22qV31C+oxzjqm9guMPSVawxaYybPqVXdYZHSPJLjiV3Ts/o2zHIjzuekIhH3t2LSZ72KkkJo+hw11HZdnXtLdVEp8yCmdcDrJiQg35MdvisMV0FoTraK9jT2g9VVopPjwAyMgkS5lkSPnEScn9WjHweGJS/pWs2vUS/sB+oaJtJe+xrSQsrGdQLEiSTHryZNZu+R+aGiI1fiyZSVNw2g6uo9oVTdNo6aggEPKgqiEa2nZiM8eTFjcOszEGTdOoa91OWf0Smv1VpNkKyYuZTJp1RJ/ts0BwOAakMwEgKwZMMXGMPv8u2qp30bCziI6GCkK+DkJBP2gaasDTyZEAqFn7GYmjZ2JyxPXQs0DQ90iSRM6weSSlTcBqS8DdVs3OLe+xde2LkTYmsxNrTBK7t3960MYyroQCJElGVox4Oxpxt1ZiwEiqlE2KnI0ZK3VaBRXqLqq1L7ERQ4acT7qUh0kSIm59icOayuxpP4189gfcVNSsZOfuzwAwGCyYTQ7KKpeSGDeSsVnnYjJGNw8ZCHr4YuP/dbtue+UiYizJBEM+vIEWYo0pjIqdQ5VnOy5HqnAm9aAhRiZ6GX3OhCSH//aieb1Rb+rc1hx126o58diGjaRm02J2r3ufjLmXYh8zbv/3ahra3ujL5pJ1lH/80v6NZZlQjEKwG32hkI7ZD0tz9BeJwR19zIRRRwyCpEaf++33Rj8v74uN/qETtOhI4dTxLNNkHTETOn4bDZ7o2+qRINezb6phf6yLEpeKHzDGZzEy5xY6WqppryvDZHPhTClAVgz4O1rQNA016EeSJKq3L8XnbgZJIhj0Y0vMIG3cqWR97UZBiQTQ5jCcbIbRTD0VlLBT3UgxG0ginYQGB66U4dHFa1ijj83RdPxgKYa+iRVRdfQrB6IPENIlFR7YH8Vsxkpe8iza2iqpbynGIJvxeJsYk3cRaQkTkAxy1EH/msVOQvwIAgEPZrOT+oataHvLtKckjafdXY3XG5bODmoBtrUsJUSQRn8FNqOrZ3vN0T9LVE/nm0jToj8uguOXATsy4cguJOOUy6j44nUsiRkkjj8psk6SJCSjiaC3o7MjAbgKJ2G0D379eMHQxBabii22c90Mky220+fcqRd1u62y7NsuyyRJIo4k4kgioE2kijIqKKH266cw2+JIzp1OSu40TNbYbnoU9AaBoIeNuxZS37IdAK+/hSmF1+G0p+vuS1GMTBzbuWaE3+9m45aXqalbD4DFHIfX14Q72Bhpk2YrPCLbfWoHRS3vo6Iy1XkO1m7qdwxZxMhErzJgnQmAhLEn0la6mZbitZ2ciX1s/s8vu24kiTQmwfGJUTKRzXCytGHUzk2lumQ5Fds+Z8+WRcSnjyE1/0Rik4aJ4fBepLZpC1vLPsC3NyDTYnIxafh3MBisbNy1EJPBTl7WXIyG8PCaP+DGoJiR5egfvSaTnTGjrqCyeiV2axJJiaPx+dv4evmfyY2ZSGHsyUd0Tos7VlHcURT5rB1voglCZ6JXGdDOBIAjdzQVX76Ot6EKS8L+4CVN7f5K8LfUHyvTBIIBiSRJOBJycSTkkjfhfOp2r6Z65zdsXvJvrDFJpOSfSHLOVAwma3+bOqipbdrKuuJX2PeL4rRnMHnEtQRDXoq2Po3H1wSAtLcybEtbOU1tZRgNNoZlnUZG8pSonQCzKYa87FMA8Hqb2bztDWQU8p3Tj8iRaAs2RhyJAutkCmyTOxVoFAj0MuAT4ONGTUMx29i58HGCHndkuSTLpJ10fqe2Rmcc2edce6xNFAgGLAajlbSCk5h4+t2MmX0zNlc6ZRveo+iD31G86jXam8r728RBhz/YwZbS91hX/BL7HIm0hAlMKdznSCwA4KRxdxDnyKW0cimVdWsxGCwMzz6dRNdwtpS8w5qt/ztsCYCDqW/Yytcr/o+mll1YDU5C6v54ho5gC5UdW6PqJ6Dtj3fLto7p4kiEtBAtoXqCmv/gTYcEkhbWiDj6v/7ek4HDgB+ZkBUDBqsdX1Mtm5/6FdlnXotr+EQg7GgEA27UQACjw0XipJOjVh4UCI4nJEkiNqmA2KQC/N5WaktXUr3rW2pLV+BwZTFi0hVd0lEFXSmrWc628o86LctNncWwzNPw+lso2voMkiQxpfB6rGYXUwqvJ6B5MRosnYJhXc4ctux6mw5vI3ZrYtTfryjmyL/uYBONvnIyDKOo8exkTcP7ACRZcjHKh45ajjemc0bCD7od1WgNNbDe9xUdWhtJShbjzF2nmAc/Qmeit9HlTEiKgnSgBxvS4VX3MC3RHcpBznDy2NnsWfI6AM6kgsh6RbGTdsIBmhIacKjgbR36Proi/RU90eXRZ37okSPWU7zL4NExLDoAptf1KJcOhDlMPZkqkqrjvBUO09Fvz+vMJidZI04jc9hcGqu3sGvdW+zZ8TmFk7pqZhyMnnMRMveNY6/HBklHY83Y1d66pm1U1a+nrmkrqto5qyEvcy4ZKdOwmJ34/K2s3LoAWVaYMuZGLObYyKWomJ1dpudtrnAQbtAsEbLufwwfLlPFmTKMuaf/idaWPaxe8S+8No16eytryt/f30dyHKrhoCmsYPcXxMFXX13LdtbWf0CMHEe8nEZ9qIKAFP0zS3D8MuBHJgDiR0yLOBOBjhaMNkc/WyQQDH4kWSEhfSzelhrKti3CYktADfnxdDSSPewUYlzR1/cYalTVr2dj8etdltssCUwsvBqrLbHTW311/QYCQTczJ92JxXz4bLJ9oxR6pzn24XBmkuDMZ0fFp+Smzuq07ou1D5PgHIbDmkxy3EgctjSCAQ++QBu+YDuhkB9FMRFry+hUB8QbaGPjnndINGQw0Xoaxb7VtITqkIeqHLwOR75P+xgiDApn4sCCYr7WBgAscalHLU0sEAggo2A23o5Gdm9fhNEcQ8DXjtFoZbjr0v427ZjiD3TQ0FLcyYmIc+RSmHs2FrMrkpEBnfU2/P52KmqKiI3JisqRACIjvEfqTEiSxLi8S/hy3V/wB9o5YdQP+HbLvyPrG1qLaXGXU1qzrMc+XPZspg+/HgBVU9lQthBZUhhrPhkNlRL/Buxy7PGX5SE4IgbFr7F2QHnQ0kXPRv6fceIFJEyb0x8mCQRDBlk2MGz8JWQOOwWL1cXG5U/jbq2ipaEEv6+N+ORCFEP0okeDDU1T2bL1Daqr10SW2SyJTBp5NTZLwmG33172EcGghwmFV0X9nZGRCVVH1b2DMBntJLsKqWxYS03TZqymsOqvxx/OIjEoFoKh/YGW47IvYuOet9E0FYc1lWFpcwEIqQHW7HqZ5vbdTBl2DVJNkPWexQC41Ra+an/tiG0csAgFzF5nUDgTitmKq2AizTvXYnImoPq9BL1uOur2cPhbXSAQHA5JkrDaw3dT5rC5bPz2KdYvewIAqz2RyXPuRFaGXgE9TdP44sv9ejV2azKTCq/Gaolejr+haQeZqdOw26IPYN0XKK5qR+5MQDj402lLQ5aNbC//JLI8L3U2dS3bOrXdWvERmqYyOvMcMhImR6ZpdtevpMm9m3E5F1NU/FynbQpME/GobVQGdx6VnQOPXgrAFKM2EfQFYMpS5+jfkI4bQcdonuLveoIstnhMMfGMv+TnnZbrUMvVFUwY0hOAaeibgDspoCMAU4firdGjp1R49P3qQZ/0dvRtDxV4eMzoo6BV94j46E04imdcXNJwJs+9CzUUYOeGN2lvrSQUCiArRjRFx31h7JsDoefa6ek4qGoQd3sdG9aE0zgl2cDsGfdj2DsCc7jLaF+QbXNLGYFgBwazHdXY/YUatHQN7AwFw9v7JX+n9XqeJd5kKyuKngLAaktk+LhL2LHhDQBKqpdgscWTVXAKXk8zTXXbCKkBjCY75px8ttUso6ZiNSPGXYLb5MFijcPTzQyN1RhLk68uapsExy+DYmQCQDFZCAWirwUiEAiOHLsjBQBnfB5tLRWs/OxPpOZMJyN7Jhbr4CyiFwqG08BaW8tZV/TvTutmnfIABr8+56eicjk7dn5IjD2V9LRpurZV92a3le74mPbWCrLyT4k6BkzTVJrri6kq2R8P4emoJyF5FKln/Ymm+u143Q00N+xkz84vMZpsBAMdACiKibXL/oUkyahqkC2rX0BSDAR8bVSWfnPQN0lscX+NxBBNtxfTHL3KoHEmANSgH03ThBywQHCMyB9zLul5J1FVuoyqsuVU7FpKUupYsgpOIcapv/ZEf7Lki99ANwGPs079LYpiBKJLgdQ0lbr6bWzb8Q5JiWMpHH4+iqJvCM/uSKVw/BVsW/8K7rZq4pIKcbqyu7RraSghGPSQkDKaUNBHRcnXVJUuw+9t7dQuf+Q51FWtx2C0oShGDCYbadkzKJx4BYpior21kpJtHyLLBmLj80lOn4iqhqgoWUIg0EFtxWrcbZWR/mQUYg1JxBszSDcPY0nzK7r2T3D8MWiciaCvA6PVIRwJgeAYY7HFkTf6HLJHzKOmrIiKkiWs/vofTD35J9hiUvrbvKhQ1SBWawKejv1D9pKkkJ51QmRq43DsqfiGhqbttLVX4Q+0I0kKBfnzMZmiKy9+IJIkkZIxmWDAw84t79DavAez2YnR7ozEUzTUbGbzimcASM6YTEPNJlQ1SErWNMyWWMq2fRzpb9fW97v7GoaPu4S0rOnEONMZN+2mLusLRp9HXdV6aitWR5aNt59CmmW/pklQHYIqmBq9lBp69F0MFQaNM+FtqcUSOzgeXALBUEQxmMnInUlq1jSWLfoNjXXbB7QzoWkq7W3VVOz5lqryzhVXh488nxhHOhrQ3FQKgOILHhBO1/mHxuttYvuu97Hbkol15iDJCnm5p2KzHl0IuCshH1k2sGvLO+za8g6yYiI2PpfWpt2EgvunddtbK8gomE1K5lRkxUjFriXd9icrJhJSRmO1JWIwmEnJmNxtu1DQR0PNZmqr1tFUtz2y3BaTQrxxcI04HRlat6NU+rsR3sQ+9DkTitypKqemR83RF713210woaexioSciV3WGTt0BBPqCKo0tevpV4cCpg5VQD1BdIqOYE3VpCf6Mfqmqo7gMVVHYoCuIFAdu2bUcY71KIyGdBxfkyfqpth2NUfd1j0s+rgGPfYq/vAPlsOVRUtTKRnDZvfYVs/1ELL03ohjKOinautX1BQvI+Bp7bbNjq3v6O43xpXFhNm3IkkyfqeCBrRHsZ2tuufoaIc1lWkz72J3yZdUVaxARkLyBUmLH4fFHEtW8jQMe/UtvL4WSjd+TkXdaiQkcgyjyTAMwyrZ2RYoojy4gxnG+Tia46B57xfs3lurw2LGo7bREKigyldMc7AGDQ2XIZnh1im4DCm4DMlIkoxk7jxSI6liNFhweAbFyEQo6MPvbhIjEwLBACE2PpfqPUUDLoaptXYnxd++TMDTSlL+dBIzJwASBpM1rO2w11apG69T9offMnvaH7M1rlN9jd7A62mioW4LHe7w9Esw5MPja2bKqOsibYIhH2u2PU9z224A8jPmkp06A9OW/TEOo00nMNI4nQ6tDU1TqQqVYpTMtKtNtKlNNHnr8KluQCLRmMEo+0kkGDOwKdGJbA1JRABmrzIonIl9b8e9fSMLBIIjwxmfy57iL/B2NEb0KfoTTVXZs/4jKrd8gSMpj9Gn/BCLIxFJR+q44uv9IWtNDbGr+GO8nibSMqbR3LhXr0GSqK5chc/bAmgYjDaSUydSW7220/abdr1FZd1+Ma38jLkUZJ7S+Ts0jS2BFZQHw9MVyUoWtaE9AMjIOOUEUk35xBvTcBlSMB2mCJhAcCQMCmci4G0DQDYMPdEcgWAw4ojLAaC1sbTfnYm6kiKqtiymo7WarAlnkT5yLpI8MF48ytd+SFXJFwBdHAWLNZ7s3DlkZM/EvFeGe2zmOchy+Dm3astzNLaGnY+ctJkUZJ6KInd9BraqDRFHwoCRhlAVAKOMM0g15GKUTEhW4UB0orcCMMXIRIRB4Uy4G8JetiMpr58tEQgEAEaTDWtMMq1NZaRkTekXG0IBLyVFb1JfugpX2khyp16IM7mgX2zpjlDQT/2uom7X5RXMJzPn5L0pqfvZl2KqaWrEkRiZey5ZKd3rWLSpTWz2LwdggmkOKYZsNE1DQxu6Bbp6CzHN0asMCmfC39GMbDRjtIpqoQLBQMEZn0NrY2m/fHfQ72HzZ4/jbW8gb9qlJBfMGBCxG41l6yhb+SbW2FSCPjcBTxuTp/+I6spV2GNSiXGk43BmIsuHDsSWJJnReRewueRt0hLGddumIVTFet8SjJKJaeYziFOS924rdRsTcqTUeHf1Wl+CoYs+Z0LVOqcY6EmL0SG9HTwosjugejGYbV2WA2g6xNmM7ujbqjqOTCAm+jcA1aAjNaGP5L9VHcdMT0S+puOY6cnQ0PRkfkTflKBVR7aBjoyHkI4RZVWH5LRDif7EhfpIyvrALBxHYh41u4vw48VgtHZtq0N6W1cmECrbFz+Pr6OZUWf/GFtcWo/p/nrk1VVD9PexqW1/x6Ggj53r3qR2z6rIsoCnDVfyCLKmfZc4SwZx+Rn7Nw5AT1eq0rI/vSdOC08fLVv3D8aknEGyYzgAbd5a6t0lbPctxqUkM9F6ymHjIKQ4V9T7ptn2Z3NomsaGys+i3nbw0Eu1OcTARIRBMTLhaapGMXV9WAkEgv7DmZALaLQ17iYupfCI+wkF/TSUbKK5chtqwBcpyx0eaZD2OtX7nY2At532uhJGzPs+tri0o9mFXmHL8mdprtsR+ZxecDLpBSdjse1Nz208MtGnGHMSCfY8GtwlrKl8i4npF1DauIImTzkAmcZCRlqmo0h99xiXJIk5I29n8dbH+uw7+gVRNbTXGfDOhLe5lpayjSSNntXfpggEggPZ+/u+L0D6SKgrLaJ45csA2OIzMVpikCQZDS38nI48rDW0vf+XDUbyTrqS2PQjd2B6i4bKjTTX7cCZkM/4k2/p1b4lSWJq5uUEVR9flzzNmoqFACTZCxiTegbmOh0iJUeBQRm65ecFvceAdyZ2ffYsALakrrr1AoGg/yjb9BEmaywJmROOuI99oxDDZl9LfE50/eipItuXtDSUsGXFcySmj2f4lCv75DskScKoWDgp70ba/Q1oWgiXNQNZUtA4Ns7EkEUVCpi9yQC5LbtHDfrxtzWQMmEeCcOn9rc5AoFgL21Ne2ioWE/2qDO6ZCToIT4zHFwY9OkIaBoA+DwtbC96kRhXBoXTrj6qYxANRsVCnDWDeFs2sjREq3gKBjX6RiY0jQMrm2h68nR1zC0F94ZHNGxajRoM4Bo/LbLsYPRITptbdEgi63g2qLbog8cCOtoadFRc12Ovnjc7PQGuemzQE4CpJxhWT0C/nkBJPTOjIVv0bfXIimtGHQGYOgJyFb9+qfD66o0YzTEkDJtKSO7hu6IwQVYsGC0Oytd+RNzwySjGw58UPcGlegIw9TxL6rd9TdDvYeKkmzC5VQ5V8Un2RV92gObu5b+7QzJFfxOF4mKib2vvfFEGgwP6nfMI6a0ATBEzsY8BPc3hrtiFYrFicsT3tykCgeAAWmq240wZdsTiUKGgn6aKTdSXribgbcPsSEAaRG/czc2lQFjhUjAIEQGYvc6AdiYSx59E87YiWks3EVswvr/NEQiOe0IBLyWr3sLdWE7G6Hm6ttXUEC01xdSXrqaxfCNq0EdMQja5Uy8ibuS0QaNwq2kqHe5aQiEfpSWfM2bcVf1tkkDQ7wxoZ8KSkAqAGuy56p5AIOh7NE2jrqyIii2fE/C0kj/9cuIyxvTYPhTw4mmvx9tai6etDm9rHa21Owl427A4kkgfNYfEnMlYHIkABPtIF6MvKFv6GoGAm8ysmeTm63OoBAOI3pDTFvGXEQa0MyEpRmSjGX9rY3+bIhAc17TU7GDnildwpY1kxEnXYnN11XcIeNup3vE1dSUr8Xc0R5YbLQ4sjiQScyaRkDMJe3zmgFCrPBI0TcPTGK59UVOznuzcOQSDEq2t5bhceYdVthQIhioD25mQZWILxlNb9BmOnJHYkrP62ySB4LjE3bQHWTFSOPumLo6At72Bqq2LqS1ZgYREUt5UYhJyscYmYXEkYRhCgnOSJDHy/DswbC5nxbd/Z92aBcTFFVC+52sAZp/yYJ9ndgiOnrCOydEPK/RGH0OFo3ImJKOOzXVUrVMPCFJOPf0imraupHnnWiyZXZ0JPSWG9RDqRrq7JzQdL1l6JKd9zujbGnzRtzU3R38DyO3RDwX6nHpkxaNuquuYqTqyRPx6Sr3oOMd6rkk92RwVp0R/QSg6rododk4J5KBuCLBj7aukTpmP2ZlAR+0eatZ9QfOudRjMNlImnUbS2FkYLPZwr6HwKHA0+o+6snt0HDM9GRrOskPfF9VlKwgFvCSkjcXmTCUufhhNjcUkJo+OtKmr30JKWme9DF9C9M++QHZ+1G29cX2TZXFwdk9IR7bPoEFUDe11BvTIBIAkGzA642nbtYnUOef1tzkCwXGJI2sEGadcSvU3H9K4rQjZYEQN+jE5E8g86WISRk5D1lN3ZpChhgIUr3kNgIrixbhceTQ1FgNQtuvzSLtAYHDpZQgEvcWAdyZkg4G0Uy5k99tP42uqwxyX1N8mCQTHJQnjZpKYP5XmkvUEPW5Mznhic8YccXroQEfTVAL+DtA0Gqu3RJb7va00NuyvxRHjzMDpzEJWTKSmTe4PUwVHgkgN7VUGvDMBoFjDw6Yhn5CPFQj6E9loIn7E4FWj1TSV2hWf4swfgzUpXMkz0N5C8461lG3ehCRJhEJ+vO31hEIB1ND+SRqbMxWj0Ub68DlUbv2Clr1aEympE9m5/X0AsnNPBnSooQkEQ4RB4Uy49xQjmy1YkzMO31ggEAh6QoOabz+i5tuPyDnvRhrXL6Nt9zbQIMaVgcFow9NeR9DfAYDBZCNz2FxcKYXYHSlIe7M1Yo0ptLbsIdaVg98fLnTmjM1GFsGXgwNN653aHKqmK55qKKPPmZAkkPYPaUqKjjQoHalg8kHqs6q7HcVkRVGVLnm9egL59AR56dFPlnVck6qeYE09kt59lJEmB6I/EIqOtnIo+gMR6quRRD2j8wNhNFOPDX30gOure0hPkK0eOXjjQerU2gHR0mXvPo0kKygmKyFfB+3N5V22D/o7kGIdmDIzOVDtRrIl4shKRAUMxDMj/y8ABPb+HYhq0HGtm6JvqyfYWFeg+sEmDNUfy96a5hiqx0cnA35kwtfSQP3aJRhjXP1tikAgGMRoaoidnzzdaZk1Ph2/uwnZYEINds47yZl+EQm5kzGYdRRbEQiOUwa8M1G/9isAMudd0c+WCASCwUzply/RumdLp2Ud9XsAMNpjScidjDN1GI6UAkw2HXnZgsGHpqH1wjSH0JnYz4B3Jrx1FTgLxuHIKexvUwQCwSBGDe2fgLAn55A8dg6WuGRMjgRkgwmjLm0OgUBwIAM+p8ualEFb6RZadqzrb1MEAsEgJv+0a8k99RoAUifOI65gItb4dBSjedDKewuOAk3rnT8BMAiciZQTzsSZN4ayD56lcdPy/jZHIBAMArx1lVR++joh//50cklWqFn/BQCOjOH9ZZpgoKBqvfMnAPROc8hS56wMHdkcmp5sjgPioGTJSu68ayk3v0H5p69itsV3ehAEdcj+qzoqE0o6psL0REpLOtw3TU+Gho5+9UgMy0EdGRrBw7eJ2KDnmOm5X/VkEPTRMeur6G5dNuigr+Tg9RxfPTYc6vgG21vZ/q/fRD7nDD8Dw950IDUUwFMfztgwBYxwUPaR36FDQl/RkXWh55j10bUjyo8J+poBPzIB4eI6mSdfjDUxg/oNS/rbHIFAMIAIuttoWruMoMcdcSSMrgRyvnMrRksMAGowQPFX/wPA2k3FU8FxhqaBpvbCnxiZ2MeAD8DchyTJ2JKzcVft7G9TBALBAEDTNKo+fo3mdd8CUPXx65F1edfcgcEWAxXhh335ug9prtgEQOGp3z/2xgoGHFovTFFowpmIMGicCYCAuxllb0VCgUBw/OJrqKHkf4+hHiSxb88dgbt0O9v/8WsSZ85HiZ9AS9V2qrcsxhaXzpiz7xLBlgJBHzConInY3DHs+ep1Ah2tGEUeuEBw3BLscHdyJFJPv5i4CSeCJLHl/+4BoH7ZJ9TzCQDx2RPIn3mVcCQE++kNjQihMxFBlzMhKQqSdEAojxJ9yIXk8x++0V6cpQcL0oYxqFns0TTUdTtwpo0HoKUges1pb3zUTTG1Hr7NPkI6BPJ0BVXqQJecto6ROUmHlrWetgZv9DZosp4Iweib6pEj1nPe9EhOq3pKOejYN4OOmnhy9LemLvQEHkZ7LppWfo01Kxc53tFpuSElCdUePkmOsZNw79yGY/REWlYtw+iMJ+Wiq/AYe69Eup7gUj2RabIOrQs9Mv56gqMFfcdDDz3EwoUL2bp1K1arlZkzZ/Lwww9TWLhfR6m9vZ377ruPt956i4aGBnJzc/nxj3/MLbfcEmkzd+5cFi9e3KnvK664gpdffvmY7cvBDIoAzH1YbYnExuezdd3L1Fau6W9zBALBMaRt6wZqP3iDihef6hL4pgb2e0QpZ1+MpBhoWbWMlDnnUXDdPci96EgIhgCahqb2zp8eFi9ezK233sq3337LokWLCAaDzJ8/H7fbHWlz55138tFHH/H888+zZcsW7rzzTm6//XbefvvtTn19//vfp6qqKvL35JNP9sqhOVIGlTMhyQrjpt5EUvoEtq57hd3Fn6MGux/FEAgEQwd/Yx2VrywAIPnsSyj51586ra98ZUHEoVCsdiyp6QBY03JQzKIkuKAb+iGb46OPPuL6669nzJgxTJgwgQULFrB7925WrVoVafPNN99w3XXXMXfuXHJzc/nBD37AhAkTKCoq6tSXzWYjNTU18hcbG9srh+VIGVTOBICsGCgcdxmZebMpK/6U8i9fFxG1AsEQp6N0fxZX5StPd9um/rP3I/83xicC0L5rc98aJhiUaL1WBjjcT2tra6c/ny+6+aqWlhYA4uP3z8HPmjWLd955h4qKCjRN44svvmD79u2cccYZnbZ94YUXSExMZMyYMdxzzz20tbX10j4dGYMqAHMfkiSTP/JsFIOJsq2LcFftYsTld1G/YSkGmwNUDaPDhWwwYrTHYnYl9bfJAoHgKLAPG9njOsUeQ8jdTtPyJSSdcQHBtlaaVywFIG7SrGNlomCQMHbsWFppJKD5MUpHN/3VQDWB9lCXUYEHHniA3/zmN4fcVtM07rrrLmbNmsXYsWMjyx977DG+//3vk5mZicFgQJZlnnrqKWbN2n8tX3311eTl5ZGamsrGjRu5//77WbduHYsWLTqq/TkaBqUzsY/4pFGU7ViEv6WBiq8W0rRtVbftRl//a1HCXCAYxBidLvLv+CW7Hv19l3Wp511Bc9HXuIu3UvPOq3gq90TWmRyuY2ilYDAwbdo0HMRRzk7yGHXE/aiaym6Kee6VZzjzzDM7rTObzYfd/rbbbmP9+vUsXbq00/LHHnuMb7/9lnfeeYecnBy++uorfvSjH5GWlsa8efOAcLzEPsaOHcvw4cOZOnUqq1evZvLkyUe8T0eDPmdC6iynLemQ09ajYa74ogtTtslOXPkTcNeWdXIkUiadhhr0o4VC2NPyMZljkYL6JJwDejI0dETk64neV3RkPPSVhHNfoUuuXE/2lY7j0BfZBgCaEv21ricrQPZHv3MhHcdMj4SznnOhS3o7ikeJISGe/J/+ll1/fqDT8tbNa0icfw7u4q20rF0RWZ531690nTddI9967jc92VM6ukXPfaFHZl469OehwPPvPcPF515CtjYCRTqyFLtq9qCgcMkll6Do+S0Ebr/9dt555x2++uorMjMzI8s9Hg8///nPefPNNznnnHMAGD9+PGvXruUvf/lLxJk4mMmTJ2M0GtmxY0e/ORODLmbiQEwmO3nzr2PMVb/AaHdFlgc62sg86SKyZl9K/PDJIrdcIBgiGGIc5N/7m07LFLsDz56yyGdLdh55d/8KoyvuGFsnGCycddZZGDFTze4j2l7TNHaznb/9v7/ociQ0TeO2225j4cKFfP755+Tl5XVaHwgECAQCyHLnn2ZFUVDVnr3HTZs2EQgESEvrP6n4Qe1M7ENSFBLHzIx8bty2An97Uz9aJBAIehvV70P1efFWlXda3rauiIbPPox8jjtxNsZY4UgIekaWZf7x9N8pY/sRBfA3UIMPL9dee62u7W699Vaef/55XnzxRRwOB9XV1VRXV+PxhIVhnE4nc+bM4d577+XLL7+kpKSEZ555hueee46LLroIgJ07d/Lggw9SVFREaWkpH3zwAZdddhmTJk3ipJNO0r0vvcWgjpk4kISRM6ha8QHJE+ZiionDYHUcfiOBQDAoUINBin9/f7frDLEufFUVAGTddBvWnPxjaZpgkPKd73yHm2/8EfVUkUS6rm3L2EYWBVitOspWA0888QQQFp06kAULFnD99dcD8PLLL3P//fdz9dVX09jYSE5ODn/4wx+4+eabATCZTHz22Wc8+uijtLe3k5WVxTnnnMMDDzyge7qlNxkyzoTR5sASn0rzrvXknX4dkp5a3wKBYEAjGwwknnE+jYsXoXoPqsdROAZfVQX2EaOFIyGIGrPZTDbDKGObLmeiVWuihUZ21G/R/Z3RjIKkpqayYMGCHtdnZWV1Ub8cCOhzJmQZDvyR1hOLoEPDXPFFHykpHSATO2z+99nx4ZNsW/gIstFM/mnX4czcn1KmJ3gsoGNgQ0+AkmqOfkhN9kXfsZ5APl0BjXqCx/ooqFJX0J+eS1LH1R/Scd40Q98EYOpBUvsmTkiPLLOeANdozlvcrLnEzZqLpqpUv/Ic7ZvXA9D45ScYXPEknXtxl35Chw+qj6AnQFsPuqSsddxvsh57jya4dAiHnK1sWkJiXBLNWgMuKSGqbcrYTgZ5JCRE1/54YUi9vpti4hh10V0MP/sWjFYHNRu+7G+TBAJBLyPJMmlXXU/c7HnYR44h/tQzCTY30vzNwHtbEwxsXC4XGeRRxrao2ns0N7VUsHjXJ31s2eBjSDkTALLBhGKy4mutx56c29/mCASCPiLx9LNJv/omXCecDEDzN0uEGq5AN0t3f0Y91bi1wytI7mYHyaR3ycIQDEFnAiDoDRdNic3qWTVPIBAMDTxluyL/99dU9aMlgsFIVlYWKWSymx2HbOfXfFRQwvtFbx0bwwYZQ9KZiEnNwxybTPHHT9FeU9rf5ggEgl7Es7uUHb+6C++eMop/cy9VL/w3sq7qpWf6zzDBoOXjde9SRSl+rWelwHJ2EUs8U6ZMOYaWDR6GpDMhG0wUnv9jLK4Udn7yFN7m2v42SSAQ9BLBtnBxpD3/fhQt1DkKMdBYj79e3O8CfYwfP544ktjDzm7Xh7QQ5RTzwgfPHmPLBg/6szkOVObqo5xWpT26imsAMRU96VMbGT/uWtYu+xclH/6XiSf8iIAj+hKtgdjoUwhUHdH7SkL0+6a6o9f0VvxRN8UfoydLJPpzrBqj7zdoib5twB51U3zx0Z+LUEr0By02zh11W68/es30UDB6fz7QGn1qQsgW/fE1Neo4x32VTK4jY8A8LB/JaEQLBMIZZQfFSVS+tIDsu38GgBzoGxskHRkaA0EOHj2VDw7KBArJQzid4wBe+fQFzpp3NrlaIYrU+eBWUYYRc5caHIL9DMmRiX0YjTZGT74Wv7eF9SuexNtY098mCQSCoyDobke2WMj99YNk33s/BX/6K/ax4yPrZauVQG0NakCHdy0QAKeeeioWbFRS2mn5Punsx5/9hyjNcAiGjGhVT9gdKYydeiPbN77Brlf/RcZplxA7fEJ/myUQCI6A0r/8LjwisRfnzFmYklNwA6a0dGSrFe+unYTa3chxR1deWnB8IUkS/37pCW686ntkaPnIezWV6qgkRIgrr7yyny0c2AzpkYl9xMbnMWHGD1HMVio+e4OQz3P4jQQCwYAj8YzzOn1uXbaUps8XYRs1GueJs/DuCs95G5zO/jBPMMi59NJL0dCooyKyrIztZDMMk0k4p4fiuHAmAExmB8nTTyPkaWfH839BDemRpRMIBP2NFgxS995CAIyJSQBk3nE3WffcT8eWzdQvfBUA+5ixSP1Yo0AweDEYDDz86EOU7i0A1qzV004LRS1L+9u0AY+uaQ5JkjvXvJB1+CJ6bm4dwjOKL/roptScaTC9g/IV72BqDKIYe7apwxv9vmkZPacTHQ2+hOj3TfbrsFdHQJXWR89kPf0Go49DJRQbvcaw09URddt0Z2vUbYNq9OeizWeJum2NX0ep41D0QaBq9E11SUPrkzaP4p43KRhccQSbmwjU1wFQ/uhfkR1OEi66BFNSErZhw/f1GP6nj+a4pT7SxtJ1zHTcQ7qOwkGPHa2PZMYHKjfeeCN333EPTdSxh2IyyccpRroOy5CPmTgYiyMRgKC3HcWoQ7hfIBD0GzUv/A/ZYsWcnU2ow43m3x9gaYh14jpxZj9aJxhKxMTEkEkB21lPB62sKd/d3yYNCo47Z0LaO5pStf5z7ImZIEnEJOViinEhSQqyQcdrmkAg6HOCbW20r1sLgDElBUtOLt49u9G8XpTYWLJ+fGf/GigYcnxb/SXpqemkkEVGRkZ/mzMoOO6cCUfqMJJGnkTd1mXUb1++d2l4zFIxWkgcMYO0CacDOsbWBQJBn+DevJna114BIP6ss3HNPTWSnqcGAshG4fwLep+UlBTWrFtDWlpaf5syaDjunAnZYCTnxItJHXcKBosdNGgoXgmSjK+tgdotS2ivK8OVcBHm9AyQJJFbLBD0AxVPPoF3ZzG2UaNJuuxyDDGOTuuFIyHoS8aPH3/4RoIIx50zAeB3t7Dhtd8jG82ogf2KlAaznfw536X061ep+Mcj4aBRVcU+ZhwpV18bmSIRCAS9j6Zp+Csr8NfUoIWCeHcWA5B6zXVIhuPyUSUQDBp0ymlL4b996Hlj1/NDrCebwxt9eLmlKby7ZtVG7tjz2LMlXJPe5kzD19FERsFs0pxjSDnj1+xOLMdXXUGow03jl59Q8djfSTj1TOwjRnUZqbA5o9etcLujj94nPnoVP7Uh+n41HadC1RMxriPCXY8NIWv0bQ2x0cuVZ8S2RN02L6Yh6rZGKfrw92pv9BLvTe7oD4TPE/2trRr1nDg9mtPRN/XU7KFh4Vv4Sko7LXfMPBHNZuBAC+XBJm7ZR/dFn9lw0HnT8wwQHL8cl+6+JCtkDptNRsEsQkE/BmPnH2JZVrDl5mPLzUcLhWhZuQxfVTmVLzxFzOjxJM4/F1N8Yj9ZLxAMLdxbN1P93AKMycmkfP8mLAX54elFRREjEgLBIOG4vlMlSe7iSBxM1RsvEHK3k/7d76P6vNR99DZlj/+FlPMvwzlelKIVCI6G+vffoeWrL7GNGU3yjdcLsSmBYJAiggD20tpQQtEnD1Ffsb7T8n2pojVvvoRz3CTyfnw/MaPGUf36CzR+9Vl/mCoQDAn8dbW0fPUlAEnXflc4EgLBIOa4Hpk4EMVoRVWD+Lyd59Ftw0dizSvAlJQCgGw2k3rxdzDGxlH/2QfYCkZgnhjTHyYLBIMWb/meiCPhmDIN2SwE5ASCwYw+Z8JkBPmAYifm6AufaJbo07i0Q8hcH4zsDRy+0V5MTT0PxJiIZ9aMn4U/NPlxlFrQNJXtr/0PgDEX/xRLcH8UkyP/DNpWFeFdUoT59NOjtsFijT56zN0UfcCdquNM6glo1BNFF9Lxe+B3Rd82kBB9kG1uQnPUbUc4aqNu2xyIXnek3B19UGVlc/Rtvc3RB9lKAR2S6dFIWe9Fh1I4qrGrHHywpRV/SRl1C15EkmXiLjkfxymzIPrbGFQ9mtM6+u0jdEnS69m1PspYPzh+WD3O5LQFR4YYmTgEkiSTOeMCype/TeOuNaRPPnP/OlnGaImhdvMSHP65yCYjmqahenyobR5CbR2E2jsItXlQW/f9vwPN3YG/uomUa07DPj6vH/dOIDi2hNwdVP/5MULNLZhys0m+5UaUGHt/myUQCHoB4UwchpQxs0kaORNJ7vp6EZs1mo6GcspufwwtFCLU7oFgVzdeMhqQHVaUGBuh5jZCrR00f7YW26hsJB2jMALBYCLk7sC9cjVNr72NKScLf9keAGJmnUD8FRcJ3RaBYAghnIkokJXuD1PapPnUb/sWzEYcsyZhcNhRHLaw4+CwozisKA4bktkY0aYIlpVTcve/aVm8nraV24iZOgLnjELsk4ehWMW8sWDo0PjKm3SsWguAv2wPcRedi3X8GIzJIq26N6j/ehF1X31I3o13Y0kR9SME/YtwJo4CSZJIm3g6u795A4PDjuusGYfdxlqQxqg3f42vpIbW5VtoW76N8q82IBkU7OPzcMwYiWN6IYY4EdQpGOQcID6XctePsBSIab3eQlND1H31IQAGR/RxNwJBXyGciaMkadRMGtlK07vLsI0vwJRx6LcuX0U9hjgHlvxULPmpJF91Cv6aJtqWb6NtxTaqnnyfqv/3HtYRmZjHj8M2eQzGVPEmJxg8aJqGt3gnHavXYUhOIu2ntyNbdUX9Cg6DJCuMuPMPyEaTSKkVDAj0OROK3FkWW8+cp462mo6bQ1K7Roz3aEIw+tBuKfpucV18CuX3/pOyOx4j9+mfo9h7fnDuvPVfACTMKSTvB3MxJzsh30xK/ni4ajyBlg6alu+iYdkOmt7+lObXPsSYnox10mhsk8dgys3odq7Z2Ba9vQeiaRrVy94n2NEeXiBJ4YBySQL2yqfvnaIx2p0kTj2lx2mfoA6l8JCOtpijDyd3mKKX09aToVHZ4Yy6bV179KNKnrbop7Ykb/T3kBzsq1D/w99D7lWrqfvfiwCk3HELssV22KwKPfebHtn2vkKXqrieDA0dj1TFpsNBGwDHTDC0ESMTvYA5OwXruAI8G3Ye9i0h7eIpVC1cRcPibTQt30X2tTNRAyrt26tIOWs88TMKSJ4/luT5Y9m904F30w461mymffEKWt//EsXl3OtYjMYyMv+o5YZDHjd1RZ8DYEvNATQ0Tdv78NHQ2Pt/TcXbWIO/tZHM0684qu8UDG0a3ngLgPRf/hRDbPROmEAgGLwIZ6KXcMyZiGfDTlq/WIXrrBN7bKdYTSgxZib86xqq3lxN6VNfgRp+bWj8upi8H51K+kVhmW7ZbMI2eQy2yWPQQiF8O8roWL0p7Fx88S2S1Yx1/MjwVEgoL/wKdGCRtMj/tU4fQ34tsjTYER7SyDnvRmLzx3ax98A3pcaN31Kx6FVUn5fU2edhcsYfwZESDGX8lVWoHR0gSRhTk/vbHIFAcIwQzkQvETNrAr7Sahqe+QBDnIOYE7r+MAP469uwZsZjTY8j/9bTyLh8Or66Vhwj01l/xwuUPP451e+uxTEyDWXWaZiy0wGQFAXLyHwsI/OJu+pcAuXVdKzahGfNZuqfeJH6o7RfMR5+uD1+7AlIkkLNsg/Z8fxfyT7ruzjyRh3lNwuGCpqmUfHwXwFIv+cn/WuMQCA4pghnopeQJImE755BoKKOpjcX9+hMqL4goQ4/WkhFUmTMSQ7MSQ4AxvzxUhqWbse9q46qt1Zj3tVG6i9/1O13mbLSMGWl4bpwHsH6JpSVLRH1PIlDl4lXAvuXS0hIigFrSmZU+xk3ZhrOgjHs+ehFSt/+L+mnXkzC+JlRbSsY2gSqqgGQHTGY0tPENL1AcByhz5mQlfDfPhQdQZWGvmkrBXQEVYaij/LSExCmBvfbaxkzjMbnP6Dp3W9wnjkzoi+xjzGXFbL41q0Ev11L9unDO3dkg6xL8oA8Xn9rddQPY0NiHHEJKdHbG70KOsHuYhRtNjKuvJGaRW9R+dnruOvKSDn9QrRDBJ527Tf682awRC+n7TR5o27bHow++LHOHX1QZVurjsC49uhvQdmn477Qcf3qkXvWlJ7PW/vadQDEnXOmrmdDuOM+attX9FFQpa590xMEquN66NJvH8XyCoYWQoKul3HOm4Fz/gk0Pv8B3q2lXdYnTUwjrjCJ6mW7D9mPyWnGMqqgj6w8eiRZJmX+RaSddxWtW9ZR/K/f07Tsq3DwpuCYEGpvp2HhQoItLYdvfAzw7SkHQI4RGikCwfGGcCZ6GcloIP6acwAIVNV12yZuZBL166sO+cObPjuP9s+/IdjQ3Bdm9gqSJOEaP42CW+7HOXoS9R+8Rcvyr/vbrCFLsLUVNbC/Ilbr18toXfo1Te+/H1nWvmYNJXfdTfUzz6D6fLSuWE7N8/+j9uWXUD2ePrXPNX8eAIo9+pRbgUAwNBAxE32AJMsYs1Joeu1TTJkpWEbkdFofNzqZXW9vRvWHUMzdn4Lxt53InqWVNL74Dsm3X3sszD5ijI5Y0s66FFVWafjsQxwTp6JY9AhJCADav1lJ8/ufYExNJu6CszFmpuMr3kXLx58TbGwmWFOLZLGg2GxowSCh1tbwdkWrCLW14dm2PdJXx8YNlP5iQ6f+vaWlpH3v+3iKi7GPG4di790iW+acLDAY8O+pwFKQ36t9CwSCgY1wJvqIlLu+S9Xv/0vb4lVdnAltb+zGoUYmTA4zrkvPoOGp1whU1WFMS+pTe3uD+FPm07ZmJS3LvyZ+zmn9bc6gIlBbR8Pzr2JIjMe7ZTtVW/Y7BhgM2KdNJnbOHBpef4Og14vicnXa/kBHQrbbcEydjik9DWN8PM2ff0HH9m0E6+vZ86eHAAi524k7bV4XO4LNLfj27EYLhrCPG6tLx0RSFMyZGXi2F+Oce7K+AyAQCAY1wpnoI4zJ8RjTEruNm0iekoFkkFn9f0uYev8cZEP3EXD26eNpePoNPBu2DQpnwhjrwpo/HE/ZLiB6Z0L1+9ECgV5/U+5rAk3tVP77ExLOmULM2JzDb3AoVA3JaCBY39h1XTBIqKmJxqI1SCYjiZddhjkvD1/xTmS7HdlswpiUhOJwRDY5MOAu9abwKEGwpYXal17EW1xM8xdf4JgyFcNep0QLhWhfvYb6F1+KbNcUF0fcOWcTM2Vy1LthmzCW5g8+QQsGwSQeLwLB8YK+u91kBMUY+ajpKJ+tJ0NDNekI5dAT0awjm8Pojr5t7NLuo/fb5QzqqosxvdOCNT4VgI3WVDCmknrrhez+x5s01Kqk/OAcTMlxXbY3x2vYp42k5d3PiDtjHEpMz1kC3sToUzRMrVE3BR1R4CGrhjk/h+YvvsDracAY37OolSHLTbCpjZaPVtDy+WpCLW7M+WkYXDGgaQRb3CRcfgr2ySNIcrZHbYM3ZDx8o70UNyZE1S7U7qX2w1JCzc04Zs1CNhnRNI09DzxGqLWV5iWbiZk+DdXrxeByYR8+GmvB8Ijsua+inPp3FqJ6vcTOmo1jyvTIOsUf/g6zMY38ex+kY9d2DPYYmou+oW3dKgCMicmkX3Atux7+FQQgbnj4x902cmpnQw84TN1lEChmF1nX/4iOkmIq/vs4u3//O9KuvpHWLWvxbN+O2t6OZDSSevMPka1Wmj78iLrnXwCIOBTSYWS6rfnDaQq8j3/XHkwjoy/sNRDktPVIZPdZtFlfxS/3zSNVIIggXh36kLTpZ9FStokdb/ydlMnzSJo4N7Iuds54JEWi9plP2P3LBWT+/DtIsox7wy5cp05C3luOPPl751B6+6PU/OtN0u65Eklvyt0xJvbkk2ldvpyaZ58l+corMaWlddtO9fkp/+VThNo9WMfkYRmeSaCynlCrG39lA1ogSNWfXyL5RxeSeE5+lxTbY0nVgk9p/GQtAC2LlxAzZTLudesjMQuGhAQCtbVIZjPuDRtp/WoJxuQUrHkFKA4HTZ9+HOmr7o1X8ZXvwZSSSsz4SSim/ZkPisWCKSER2WTBPmJ0xJlIPO0sVG8HAI4JU456f2x5w/bv2wtPR/6fcvMPsQ4riEjCJ99wHfUvvkTdSy9jiIvDkn9458CUkYHictG2YgUJOpwJgUAwuBHORB8iG00UXnoX1UUfU1X0EU3Fa3D6x+E6Yxqy2Yhz1jiso3Io//0LlP3sP1gKs/BsLKX1y/XkPHQTyDKGOAepd1xK1cMv0v7NRhyzxvf3bh0S2Wol9YYbqF6wgPK//Y2E887DOXNml7n31k9XE6hvIeeR2zCld62KqvoD1Dz+FjWPvYFcMZW8H556rHahC6bU/aNGoZYWWj7/gphpU7Gdfy6mjHSMifvt1zQN/5YSWld8g3d3GaG2sMMhWSxoXi+W/AJaV3wLmkagoYGUMy6MbAew+9+Poh2QsWFOzQgXXzOZSf/u97APG9kr+5T/iz/g2V1K9WvPo/m8ZNxzF6b09E5tJEki8YrLCTY1UfP0AlJuvAFL3qEdBEmWcZ50Es0ff4zrwrNRnI5DthcIBEMDSYtCGKC1tZXY2FjmDb8Tg7Jf6EfTMSeqWqMffg5ZdAj5BHQIUemY5nBn7k9va20oRZYVYuKyum3bkXz46Z6OunKqVnxAW+V27GPzyLj38sjog+oPUP3Eu7Qu2RCp0+E6fQpJP7wAgJDbS+ktf0X1+sn+++2Yu/nxVdZFn9uvZ5pDR2FNfIn7LyUtGKTh3XdpXboUyWgkZvJkXPPmYYyPRw0EqHjkYYwZSWT8/LuH7LPxjcU0vPQZKWdPIO+2eT3Gl+wj1R59+dRopjm0kErp716lbVUxAJbhw0m58bpDltSWvV1HUbRgEM+unVhy8wi2NLPnr38K23vp1UiyQu37C1H9vogjIZnMaP79FVAVh5P0K6/HmpUb1b7pEUoK2g/9CAi53dT8dwG+sjLizzsX5+zZhxwpCnV0sOf3fyBm5nTiLz4/KhsMHdGPPMkBPYpR0TfV01bXtIwewag+mubQMzUk+zt/Dvm8bPv7z2lpacHpFIXbBN0zsMfMBwCaprJp8ROs//wxgv4jz9O3JWVScM4PyPrVd/Fs28PuXz9LyB3uTzYZSbv1Aqwjs5As4diH5kWrIutbPlqO2uEDVaP1k6Kj36ljgGQwkHjRRWTeey+u006jY/Nmyh9+mPo336Tm6acJNrTinH34UZb4S+ZQcOeZ1H6ygbL/fNn3hh9Ew0erI45E7BnzSbv15kM6Ej0hGQzYRhQim0wYExKJm3cGktFE9esvUPXqcxjjE7Hlhqcf7CPHknvrPSSddWFk+1BbKy1F3/bKPulFsdtJu/UWnLNPpvHtd6j73/Noas+/kIrNRuzsk2lfsoxg88AQ1BIIBH2LrmkOzWRAU/Zvoi8AU0dbPTLdfeTJy6HI/7A503C3VOBrrcfUzeiEnjcPpWAkKb/4ATUP/Zey37xI6s9uQLaFNRliLz4Dz+//A4CpIItQwIDmV+jYvAfJaEALBGlZtBLz6GHYJhZ26ld16JCn1vMWGL2SNUo3/VqdaVhPSiN+6hyavv6CluVfo4VCpNzzHeyTRqCGuunoIHLOG0WwtpHyhWsouGYqJlfPwyUdwehHwFpbeu4n2NRK82uLaF+yGtv0sSSedSkGhwOiOB6HewuUJJmE084g4bQzUJva8NdWY8nKQQupuLdvxj58FIrVStyJs/FVV9K6ZgXm9EwS550T9ZurrrfhaPpTFBIuOB9zXjZ1zzyPKS+b2FNm99jecepsWpcto/Hl10n+wY29GvOiJ1BS17f2kZS1rrZ9ZYMQphX0MSJmIgpGn3ADDVUbiXFl9Ep/5tx0Uu67keqH/kv1w0+T/OOrMSTEYi7MJe6qs2h66UMClbWw1wEzF2TgWRfWETDnZ1L7yItk/OUnGJO6ZoAMVGSzmYRTzyR+7nwAtJH6RnmyLplExTvr2PbIZ4z9zbm99uPUsXYbTa98jHXcMAxJcWi+AKFWN22fLQ+rmV57Lo7TZqDU6h+NiAZDjANDzN64AiM4x3dOw0y58AqSz7sU2WAYED8I9kkTaF28BH/ZoeXgFZsVtd2NZ+MW2pevxHHC9GNkoUAg6A/ENEcUmK2xpOefhCT13uEy52WQet+NhJraqPnLs2iqiiRJxJ5zMukP/wTN46Pp5U8ItbqJu3QeGf/3E9Ifuo3kO69GcTmo+dMzBKqOtvD4sUeS5UhapB5MLhuj7plP3ZJiahdvP/wGURJsaCawp5rWD5bS+Oy7NL38Ea0fLME5/0Qy/no3ztNPPCJ7ewtJksKOxABCC4WQTFGkIu+1u+GFVwm26slHFggEgw3hTBwjatcvpnb94k7LzPmZJH7/YgJ7qvGXVEaWmzKScZwxk9aPllH3+Gt7lyVhzklDibGSet/1hNweyu9+hNbPVhzT/ehPkk4ehjkphqqPNvdKQTHPhh00Lni70zLrlFFk//vXxF1xBoqOKqjHC2ogQKCmDkOc67BtY0+ds3+7dncfWiUQCPob4UwcA9SAn4pv3qbim7cJ1HZWOAzWNoIkYUjpLPCUcM25OM86Cc/GnYTaO08JGNMSyXrsXmLmTqHxuffx767u830YKORecwKNK0rZ/NBHEVlyvbjLm/n0nCepeXhBp+U5z/6OlDuvicSwCLri3bYDzevFNnniYdvGzpsb+b8hsWsGkkAgGDoIZ+IYEPAckK54QHBpsLmNhgVvY0iJR4npGgxonz4GVBXfzj1d1skmIwnXnYsxPZGq3/+Xxo8/ouWbZXhKdqGFoohqHKRknDuO0fefSc3n2yh7RX9mS8gXpG5ZCcH2cNql7HKQfO915D7/x4hYk6BnvMU7AWh87U38VYd2Yg/Meml8bWGf2iUQCPoXfdkcRgXtgAeunmwO1ahDTtsYfXCdpCe0W0dbORj9MLp0mN9uiz2B8df8npr1X1Jxx5+RrBZMWen4tu8Km+UNoHq6ngpjTjbIMu7lWzCPKuwadChbSP7p92l87m2aFn8OwbAhrovPIfb0uT3aozZEf94Ozjk/FAYdMZXeYPTXg80Q6PQ5/6xheEtqKH3uWxKGx5FyYm5kXZvfzKFYe89CWtaXRz5n/OpeZKsV7TBT+n2mbaADPRkaenQm9Njr2xM+dt7tO6j6y6NkP/rHHttKIYmMB+6n4rcP0f7tShKuuqxf408GBULLWjBIEXf2McJgtuFIKwBA83hRPV6MGeF6HaHmVtSOrr/EkqIQd8VZtH+5grrHnifY2DVnX4mxkfSjq8j66+9IuftHAJjzjrLo1CCg8HsnkDglk5U/e49N/1gSdQxF/LTcyP+T7/jhEWlGHM/Yp+zXBrGMGnHY9sbEBJS9NVraV6zqM7sEAkH/IpyJY4gzs5DU39yFISWRYHUtzjPnkv7Hn5F8zw+Rbd3/qDnPnEXS7Vfj37mHhqde77Fv2WTEEO8CIFBT1xfmDygUk8K0h86l8HsnUPLaOtrLmg7ZvuSZr1l50zM0rwu/WRvjbVgLhx1yG0FXYk6aEfl/4o1XR7VNwhUXAdDwwit9YpNAIOh/hDNxjDFlpJL6q59gHjWcptfeI9TmxlyQe8htbFPHEnvBqXi37sK3s+f8fkN8HLbJ42l6/V061mxAC+hQnBqESLJE3Njw6I63/tDZAp49jXSUNdBUVArA1Cev7WvzhiSSouA8I1wnRW2LTrrcOmok7J2i89cOfUdXIDgeEc5EPyCbTbguPgs0qHnon1Q98Fc8G7Z2kijWgp0DMewnT8GYkkj1g0/QsXZrj30nfPcyzAW51P37Ofbc/Sua3vygz/ZjIBA3JuxMtGw/9I9U4U/PJO6AKQ5TnL0vzRrSxJ55GrIzhuZ3PybU7j6sZLYkScRfEq4z49m0Jerv0TQNNRA4fEOBQNDv6ArADNqNYDhArEaOPlooaNERrGmKvl9Nib6t4tcR3RSKPirN6Im+bfyafYc8k+Qrf0lHXTm7P3+JuseeJq5wKmnTz6Jx20qqV3xE3t2/whi7T+XSTM737mHnH+6n7pFnSTz9HOJOOiUS0ObLCkdKyhYjyXdfR2B3Jc1vfUrbl0uJvWgusmV/YKIvIXof0lod/TEzN0fdFF9V9OmXxdae0wo1TcNamMmOF9cSmDyDrILuz4XBYiB2TDpNK0sBkCQNVD3XWfTnWJfcs57GeuirolVBCUUxE3fO2TS89CruFasByPnrn5CMhi5t9xE782Q8G7fiWbcJ16w5HIzsl1ADfoKtLZgSkgDY859/4S0LBykbE5PIvvVuZKNJX4Crntelvonl7rNz0Vf2Hhy8qyuYV3DcIi6TfkQ2mohJz2fUVfeROecymrYVsfl/v6N6xUcAeMpKOrc3GEi97BoA6he9T/WbL3fbryRJmHIyiP/uBWiqSvXv/kX1n57Es67nEY3BiiRJZP78OyDLNLz21SHbOgpTIv8P+cQb79EQc8I0nKfvLwvfuPDtw44imHNz8Vd3TSft2LqV8qf+SfUr/6PskYfY8cu72PHLu8KOxN7ssUB9HTt/ex/BNqGkKRAMRIQzMQCQFIXEMSeSf+4PyDr1SkZdfT+OrEJq33udts3rO7W1Dx8Z+X/buiJ8NZUHdxfBkOAi+fZrMWalgapS++izdKzd3Gf70V8oDhuxc8fTtnwL/qaOHtu5JmRG/t/wbUmP7QSHR5IkXGfMi3xu+/qbw24jm0yREusHora78ZTuwr11U5d1KRdezrDf/RXZEg5QLnn4N/gbB5+MvEAw1BHOxADCmT2ShJHTMccmkTv/Wmz5I6h6+RmqF76IZ3cpmqYhG03k3/sb0q64DslkonnFskP2aR1fSNLNV5Fy3w9B06h79DlUvw7xiEGCa/5UVH+AZZf+P1b96AWa1uwm5O38w6WYjVgzw9NGO//f4u66Eejg4HTmw2lIBJuaMLhiuyyPmTqF5AsvR7bZiZszj6wf3sGwB//C8N//DeekaUiSRP79D0bae3YV984OCASCXmNgVRASRFDMVtKuuI6Wom9oXPwprWuLSDj1LBLmno7B4cQxZgKe0p20bVyLc/IM5KyUQ/YXrNn/NuevqcGS1bWU+mDGlBpP/mO3YSzezJ43VrPuntdRbCayLpuCa2IWpjg7lvRYcq87kS1/+ABfbXSZCIKeMbhiyf7LH/EW76L2/z1FoKYWU3paj+0DtTUYk7u/TmOnnkDs1BN63vaA0Qhrdt6RGy0QCPoE4UwMYCRJwjVtJrFTTqD+sw9o+PJj7CNGYUkPD9c7xk6ieflS9jz5CMkxN2Id27OIUPObn6LEx5L2wO2YfYOndLkejImxpBaMIWXeKNqKa6n+aBO7X1pB6bPhIXjFbiJhZgGK1UjIE0D1epEtog7H0SCbTFgK8pAdDhpff4uEKy7BmJLcbVtvSSmOGTO6XXc4ahaG44MsWbmYenBIBAJB/6FTTltGM+wfytR0ZHNoOiSy9WRo6Cr1pCcsWYcNciD6cG09ssyKN7IVKTPPxL1lE42ff0LWpTcCYDI79/crW8Hbc8aMJBswuFwopljcJbtQHA6MSYcvvhQy68jmaNGRAdMafb9+f/SXaatvr3OQm0vqzbkk33QGvqomgo1u2taXUfPGt2hq2E5ZNkQdPa8rGl5HiQ9Vxx2oKzFBR3kWXdkcoa4HQjFYSL76Kmqff5GKP/yZ2FPmEn/+ecgHZE/5a2vQ/H7wBzst34d8GEmUhNnzqXjhP8ROmIakIzuiF4rLHj16Mj8Ggpz2wTYMBJsEAx4xMjFIkBQDjuFjaF63Ak1TkSQZkysBS3o2wdZmZPuhdRNM2Vm4V6yh7JZ7w/1ZLWT/6Xdd630MMWSjAWt2EmQn4ZiYS/JF0yl/chHtm8uRDOLy7y2shYVk/eoX1L/6Gi1fLcE+aSLW5OzI+oaP3gfAdcq8nro4JDHDRzHiV/+HpCiooRAtq5fjHD8Z2SxGlgSCgYAIwBxEWFKzCHW046vbn16Xft53UP0+6p589pDbOubOJPas0yKfNY+Xtq+/ibqmxVAh1O6l6astJMyf0N+mDDlkk4mkK6/AlJJC7XPPo/rCQ2uaquLZuYP4M8/B6DryKbZ9VV3bNq6l9t3XKf7Dz2ldv/q4u4YFgoGIcCYGEU2rvwbAYIuJLDMnJJN+wXcJVNXgK+lZaluSZVznnUHmnx8g5dYfYB1VSOOrC6l+5J94i3d2Ut8cylQs+AJDrI2UC6f3tylDEslgwJCQQLC+npIHfk7r8m8o/9ff0Xw+glHKb4c8HhqXfYmvtvsS58aERAx7xdyqX3+e4t/fhxYc2tLxAsFARzgTgwRN0+goC6fEKXZHp3UxBaMwJCVS9+9nqfjdXwi191ynQnHEYC0cQcot3yfltpvxlZZR/dgTlN35M0Jt7X26D/2Nv76N5mXbSL1yJrLF2N/mDFmsIwsj/6978zX8FeHiatac3Ki29+wpoe6Tdyh9/M/4aippWbOCbb+5i7J/P4Lq92PNzCH/7l9RcN/vANACAWreea3X90MgEESPrklj1SCjdgrA1LOtjqBKHW37aspfT5CXpEN6Ww5G31bx7t85X2Pt3i+Tkdr8KCbzAS1lkq+9hsq/PwbNrXR8vYbYObN77Fe1haPzLOPySfv1XVQ9+DfQNFS8yGZb57bm6E+y4ou6KSYdmZleX/SXqdtj7nFd05J1IEmYZ0zG7THrOse63G490ts6bFB1RMLJuq5fHfdbFB07p5+AOT0TWry0rl5B+/rVuE48GeeoidCDSKZ0wMDCgRLjDYs/xRDj3PvdCgRUpL1+oMFsxzXtJJpXfr13P7r2q0v2Ws85FjMrAkEnxMjEIMFdHq5RgKay68VH8Ld2LrltzszEnJ2FISmp05vh4TBlpJJ06/UAeDZt6y1zByQdG0uwDMtAsYugvd5GDQTw19VR/uijNLzzNpWP/p3KZ/4f3upKki+4nKSzL4qqn6C7jfKX/oNkNJF6zuW0bV6LJS2Lwl/8lZzrf4xyUMDlPkfCOW4KzUXLqHzjf2iqjlQWgUDQKwhnYpAQN3Z/fr6vsZbtT/2Olh2dpbaDDY3Yx47BlKIvD982fjSWsYU0vvgmZT/8KQ3/e33IlS/XVBXPplLs44TgUW8T8nioe+Vlyh/+E/49u/GWlGJMTCTh9HPIvfWeQ4pRHUzL2uUAaAE/9oKRyBYrnvLSHrOOsm64DVNiCqbEZNzFW2jbuIa6T97tlf0SCATRI3LjBgmSLDPylgcp/+AF2svCIwh73n2WjsmzST7xDMCMOTeXjq3bMGVk0F60CsfsWUghFXNeHorddsj+k2++lqo/PEqgqpb2pSuwjB6Bfcr4Y7BnxwZ/RT2h1g6sY4Qz0dvIFgv2MWOJmTgJ6/DhyObwVJPi0T8HGTd9Nr76Wlo3FLHzsb0S2ocYabBl55N3688ASL3wOxQ//Aualn+FY8xErFm5ur9fIBAcGWJkYhBhsMaQe8kPGXbtvaTMPp+Uk8+mcf037FjwEO1r1hI7ZzaBqirqnn8Bz9at1D71NDX/fZrmjz85bN+S0Uj6b+7Bdck5ADQ88wruFWuGTNpdoLoRAHNWUj9bMvSQJImYSZOwjx0bcSSOFNloIv2C75By5sWRZc1rvqVl46rDbqtYrMTPCqc/7376schyTdNo/Ooz3Du2HJVtAoGgZ4QzMQixJKaRNHUuSdNOY/gNP8OWkUfdc//DU1xM2u23YUxLxXXGfKyFI0CSMCQeXulyH7Hz55D51wewThhN/X9fouadV9FCg38OOlDXAgYFJfbQ4l6CgYFrykysmbmRz63ri6LazjFqPJb0LBLmzI8s81XsoWHR+3QUb+9tMwUCwV50TXOEzDKScb//oeqQDQ5ao/db9MgR64lE15NJoUdiWI8ksh6UKIp7Ws1x5M6/jvKMj2n86GNCExvIuvHHKBYLWjBI+dP/ovXzL4kbNwPZaALA5zz0cZBdNhJv/g7tY0fQ+OwbaMkm4q4857C2OEuiT7eMqYj+AActpqjb+hK7t8G/O4BitRHcfYAEuQ4fSc851nNfRJMdsb9t9P3qybTqM47KXpnUC66k5F9/AiDk9exv080hUwN+ZKMJS1oWOd+7M+wAa+GsLJMrHufEacROnnHIDB49g3B6ng966KvzpsteIactOAIGwiNHcJRIkkTCaWeSctGVtK9fTenffkf7pvVIBgNJ51xMsKWJyuf+TbBdX6XMmFlTibvibFo/XoL7m7V9Y/wxQvV6hXz2IMOUkEzMyHEYnC5cU2f22M69azs7HrqPkscfRgsFaV79Ddv/cC+B5vDUlmKPIfXiqzAnpx4r0wWC4w7hTAwhnJOmkXPnL7Bm51Hz5ksE29uwZGSRduX1+GpraPj0A919Ok4/CftJk6l/6lU8m3b0gdXHBrWjA0Pc0KyWOpTJuPwGCn7ya2In9qxYanS6APDX17DzkQdRbOGprJIn/nwsTBQIBAhnYshhjHWRfMHlIMk0LfkcAPuosRhiHEdUQlGSJBJuvBTLyHwaFrxxSHXNgUzI7T5sMTRB9ITrbeykddkyWr5einvjRgL19QSbm/FVlB9TeXZTYjIjfvVX4k86lcTTzsYxMpyFpAX8ukfjBALBkSHGfYcgBoeTmDHjcW/fQvzc+VS9/Az+2moS5h8+7qE7JFkm/vqLqX7wn1Q/+C9Sfvp9DImD6y1fMhjQAj3ILwoOiaaq+Hbvxl9TTbC5mWBTI54dOwi1toIsh2VoDwrSlSwWJMJiVra8AhLPvgDZZEaJiYnE7vQmkiSRdNq5kc+yyYzq97Hrzw+Qd/evMMYOrutVIBhs6JTTljpJXas6yhvoClLUE/Cj42VbU6LvWE8QqJ59Cxn7xoaDA6wcoyfQumo5u/70K2STmczrbsaWPwJUkII6DrAlfICNKfGk/uY2ah9+ipq//peUn34PQ4KrU9OgNfp+FZ8OCXIdPoAU6N4GSZNQfYHO6/VoTutBj5y2nn51BQjquM56GJ8MNjXRtrKI9uUrCDY2giShOJ0Y4lzYJ44nZupkTJkZIEmE2toIVNWgqSG8O0tQOzowxieCptG8eDG7H/u/SL/G1FRiZ8/GOmwYxoSEsL06AqmjIffOX1Dz5su4t2+mYfEnJF9yBW1ripBtduyFo3Qdh+6QowiO3ocu2fa+CnYUQZSCPkaMTAxR7MNGknzeZQRbm4mdciLGWNdR92lMiif53puo+dO/qfrtP0m97wcY05OP3tg+RvV6cW/dTPy8M/rblEGBt7SM5o8/xrNtO5LRiH3iBGKmX4klJwd/VQXNiz4jUFdP8yefhlNMZAnFbsc5Zxam1FRso8M/1vucVufJJ+MtKYFQiKZFi/CVlVH/6qsAJF5yCc6ZPQdXHikGewzpV99E/VcfR5yHmldfDK+UZWzDRpB+ww96/XsFguMV4UwMYVxTT+z1Po0pCaT99naq//gkDU+/Qcovbu5R6nigEGhsgFAIS15+f5sy4HGvXUft8y9gSk0l8YrLsE+YgGyxoKkqTe+9T8virzAmJWJMTgZNRQsG8JXuRvV48O4qIfP+e7v0KRuN2EaMAMA2ahSBxkYqHnkEtaMDz/bt2MePR2tTqX7tf3jKwjVoks68gNhpM5GNR17dVZIkEuadGfmc+p3rqH7xWVBVOrZvRdM0JEki2NaKZ+cOTJmZGJOSB/z1LBAMRIQzIdCN4owh7sqzqXvkWXw7yrCMyO1vkw6JMSEBZBl/TTXWXOFQ9ESwtZXa51/APn4cSVd/B0lRUP1+AnV11L/2Ot7incSdexaxc2dH0mxbvvgKz5awvLtt7BgA/NU1gIY5Ma3b7zHGx5P+4x9T9+KLuDdswL1hQ3iFsn9er+6jt2le8TVZ37s9HDzcC1hyDpBSl+WI09C0+HNavv4KAFNaGpl33CMcCoFAJ8KZEBwR1gkjAQhU1g54Z0I2WzClpOLbsxtm9P6Q+lDBX14BoRCOk2bS9NHHtK8sItTeDqEQSlwcKd+/CduYkZ22sY0fS9MHH6L5A7R89gVt33yL6u4AIO2WWwDwbN+OtbAQa0FBZDtTUhLpP/4xvtJSQu3tKD4Zb8VuWtevItgcrogbaKyn5O9/IOO6m7H1Qp2N6peeA8CYlEzWrT+JLHedNBvZbKZ943pMaRnCkRAIjgBdzsSIHBcmszXyWU+AoJ7AQ13BQjoy0PQoHupBXwCmjn51lDkIxOho69RxIIzdR49pmkbbyALyXIlk2uMBiMmI/kCYXNFHpXUkRn9BBJzdL2+y2aCpkdFWM0br3mtYx3WmR9VSM/dRWqSOwFlZR0BjY2kJG156CYD44cMwFK1Gaain4OSTic3OwmCxEj+sIHzcDg5adcUx6fF/0li8k6Cng5bycuo3b0UNBvEtWhS2BfCVlTHy6qtx5eR03j4+fO0o3vBH9bIrqN26hV1Lv6Rm62aMVgvtH73NiKuvIz47N+p92od2wCWZe90NoKrEZmV1bpTggmH5aNJVUfcr6SiqqysAs4/QY8PB+xbwehBC5ILDIWlRVHLyer3k5eVRXV19LGwSCAQCwQAiNTWVkpISLBZLf5siGKBE5UxA2KHw+3XkQwkEAoFgSGAymYQjITgkUTsTAoFAIBAIBN0h5LQFAoFAIBAcFcKZEAgEAoFAcFQIZ0IgEAgEAsFRIZwJgUAgEAgER4VwJgQCgUAgEBwVwpkQCAQCgUBwVAhnQiAQCAQCwVEhnAmBQCAQCARHhXAmBAKBQCAQHBXCmRAIBAKBQHBUCGdCIBAIBALBUSGcCYFAIBAIBEeFcCYEAoFAIBAcFcKZEAgEAoFAcFQIZ0IgEAgEAsFR8f8BFNEIlCTL1l8AAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 600x800 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plot together\n",
+    "\n",
+    "fig = plt.figure(figsize=(6, 8))\n",
+    "gs = GridSpec(3, 2, width_ratios=[1, 0.1], height_ratios=[1, 1, 1], hspace=0.2, wspace=0.2)\n",
+    "\n",
+    "# specify the projection\n",
+    "proj = ccrs.PlateCarree()\n",
+    "\n",
+    "# set up plot axes\n",
+    "ax1 = plt.subplot(gs[0, 0], projection=proj)\n",
+    "ax2 = plt.subplot(gs[1, 0], projection=proj)\n",
+    "ax3 = plt.subplot(gs[2, 0], projection=proj)\n",
+    "axes_list = [ax1, ax2, ax3]\n",
+    "\n",
+    "# set up colorbar axis\n",
+    "axcb = plt.subplot(gs[:, 1])\n",
+    "\n",
+    "# loop through each dataset and its corresponding axis\n",
+    "for i, ds in enumerate([ds_25, ds_g, ds_1]):\n",
+    "    plot_ds = ds[\"tas\"].isel(time=180)\n",
+    "    ax = axes_list[i]\n",
+    "    pcm = ax.pcolormesh(plot_ds.lon, plot_ds.lat, plot_ds, vmin=285, vmax=315, transform=proj)\n",
+    "    ax.add_feature(cfeature.BORDERS)\n",
+    "    ax.coastlines()\n",
+    "    \n",
+    "    # focus on CONUS for this example\n",
+    "    ax.set_xlim(-130, -60)\n",
+    "    ax.set_ylim(22, 52)\n",
+    "    \n",
+    "    # label with the regrid type; if it fails, that means it hasn't been regridded\n",
+    "    # (so label with \"original grid\")\n",
+    "    try:\n",
+    "        ax.set_title(ds.regrid_operation)\n",
+    "    except:\n",
+    "        ax.set_title(\"original grid ({g})\".format(g=ds.grid))\n",
+    "        \n",
+    "# set the colorbar\n",
+    "axcb.axis(\"off\")\n",
+    "axcb_ins = inset_axes(axcb, width=\"50%\", height=\"75%\", loc=\"center\")\n",
+    "cbar = plt.colorbar(pcm, cax=axcb_ins, orientation=\"vertical\", extend=\"both\")\n",
+    "cbar.set_label(\"{n} ({u})\".format(n=plot_ds.long_name, u=plot_ds.units))\n",
+    "        \n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ec3e63a6-fd9e-4d3d-b1ac-66f1bf943a7e",
+   "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": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From b28bfbb59536061735ba518c94bf32d00cbbed04 Mon Sep 17 00:00:00 2001
From: Jacqueline Nugent <jnugent2@uwyo.edu>
Date: Fri, 14 Jun 2024 18:08:08 +0000
Subject: [PATCH 2/3] Completed regrid/plot example following the cookbook
 template

---
 notebooks/ex-regrid-plot.ipynb          | 4025 ++++-------------------
 notebooks/images/logos/cartopy_logo.png |  Bin 0 -> 341563 bytes
 notebooks/images/logos/rooki_logo.png   |  Bin 0 -> 6774 bytes
 3 files changed, 579 insertions(+), 3446 deletions(-)
 create mode 100644 notebooks/images/logos/cartopy_logo.png
 create mode 100644 notebooks/images/logos/rooki_logo.png

diff --git a/notebooks/ex-regrid-plot.ipynb b/notebooks/ex-regrid-plot.ipynb
index 5bedac2..1a08e71 100644
--- a/notebooks/ex-regrid-plot.ipynb
+++ b/notebooks/ex-regrid-plot.ipynb
@@ -2,3673 +2,765 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "50b5d7e7-df4e-4992-a29b-8804b081a320",
-   "metadata": {},
+   "id": "7ec06613-53cd-494c-ade6-8a3a156f77a0",
+   "metadata": {
+    "tags": []
+   },
    "source": [
-    "# **DRAFT**\n",
-    "This is a work in progress :)"
+    "<img src=\"images/esgf.png\" width=250 alt=\"ESGF logo\"></img>\n",
+    "<img src=\"images/logos/rooki_logo.png\" width=125 alt=\"Rooki logo\"></img>\n",
+    "<img src=\"images/logos/cartopy_logo.png\" width=250 alt=\"Cartopy logo\"></img>"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "e07f3f93-5dc9-429a-b336-4a14d01ac78a",
+   "cell_type": "markdown",
+   "id": "50b5d7e7-df4e-4992-a29b-8804b081a320",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
    "source": [
-    "from intake_esgf import ESGFCatalog\n",
-    "import matplotlib.pyplot as plt"
+    "# Demo: Regridding and Plotting with Rooki and Cartopy \n"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "da700ab5-47b3-4283-92a5-bf60213be07d",
-   "metadata": {},
+   "id": "abd4b497-cdbf-4c29-857c-3017abf9e927",
+   "metadata": {
+    "tags": []
+   },
    "source": [
-    "##### Todo - make the search more elegant"
+    "---"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "379997ac-5da1-408a-9f57-9036a4e188a5",
+   "cell_type": "markdown",
+   "id": "0f79862d-7181-4f04-966c-19b5e03a22a5",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "cat = ESGFCatalog()\n"
+    "## Overview\n",
+    "In this notebook, we demonstrate how to use Rooki to regrid CMIP model data and plot it in Cartopy for two examples:\n",
+    "\n",
+    "1. Regrid two CMIP models onto the same grid \n",
+    "1. Coarsen the output for one model"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "7cdb9bc7-1d01-4a02-a171-86b226b5c5f4",
+   "id": "4f1db315-fb2d-466d-bd6e-8a4ef18b6cf1",
    "metadata": {
     "tags": []
    },
    "source": [
-    "#### Get one model"
+    "## Prerequisites\n",
+    "\n",
+    "| Concepts | Importance | Notes |\n",
+    "| --- | --- | --- |\n",
+    "| [Intro to intake-esgf](https://projectpythia.org/esgf-cookbook/notebooks/intro-search.html) | Necessary | |\n",
+    "| [Intro to Cartopy](https://foundations.projectpythia.org/core/cartopy/cartopy.html) | Necessary |  |\n",
+    "| [Using Rooki to access CMIP6 data](https://projectpythia.org/esgf-cookbook/notebooks/rooki.html) | Helpful | Familiarity with rooki |\n",
+    "| [Understanding of NetCDF](https://foundations.projectpythia.org/core/data-formats/netcdf-cf.html) | Helpful | Familiarity with metadata structure |\n",
+    "\n",
+    "- **Time to learn**: 15 minutes\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7cbc5d91-db3f-4afd-9093-c3abc7dec82b",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2582d535-9b99-4115-b0ee-7459acd76ec0",
+   "metadata": {},
+   "source": [
+    "## Imports\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "a580fe34-dcb6-4606-8683-0d00ab34c43d",
+   "execution_count": null,
+   "id": "ad4562c9-f5eb-496e-9e17-6453f426e910",
    "metadata": {
-    "collapsed": true,
-    "jupyter": {
-     "outputs_hidden": true
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "55c7294b6da445d68b5fae22d9ac90d2",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "   Searching indices:   0%|          |0/2 [       ?index/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Summary information for 1 results:\n",
-      "grid_label                          [gn]\n",
-      "source_id                        [CESM2]\n",
-      "mip_era                          [CMIP6]\n",
-      "member_id                     [r1i1p1f1]\n",
-      "variable_id                         [pr]\n",
-      "datetime_stop     [2014-12-15T12:00:00Z]\n",
-      "table_id                          [Amon]\n",
-      "activity_drs                      [CMIP]\n",
-      "experiment_id               [historical]\n",
-      "datetime_start    [1850-01-15T12:00:00Z]\n",
-      "institution_id                    [NCAR]\n",
-      "project                          [CMIP6]\n",
-      "dtype: object\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "cat.search(\n",
-    "    experiment_id=\"historical\",\n",
-    "    source_id=\"CESM2\",\n",
-    "    frequency=\"mon\",\n",
-    "    variable_id=\"pr\",\n",
-    "    member_id=\"r1i1p1f1\",\n",
-    ")\n",
-    "print(cat)\n"
+    "import os\n",
+    "\n",
+    "import rooki.operators as ops\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.colors as mcolors\n",
+    "import cartopy.crs as ccrs\n",
+    "import cartopy.feature as cfeature\n",
+    "\n",
+    "from intake_esgf import ESGFCatalog\n",
+    "from rooki import rooki\n",
+    "from matplotlib.gridspec import GridSpec\n",
+    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "d22971ce-0594-4836-a364-b0abcdc47934",
+   "cell_type": "markdown",
+   "id": "c2b47b1d-db2d-4074-8c92-bb71fa0459a7",
    "metadata": {
-    "collapsed": true,
-    "jupyter": {
-     "outputs_hidden": true
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4f8fa3183e784290bd6007f25af0ebe9",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Get file information:   0%|          |0/2 [       ?index/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "pr_Amon_CESM2_historical_r1i1p1f1_gn_...:   0%|          |0.00/343M [?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3b3b4391d01f48e2ac74bd1af63e9693",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Adding cell measures:   0%|          |0/1 [     ?dataset/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "areacella_fx_CESM2_historical_r1i1p1f...:   0%|          |0.00/43.8k [?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "dsd = cat.to_dataset_dict()"
+   "source": [
+    "## Example 1: Regrid two CMIP6 models onto the same grid"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc1d512a-68d3-43cf-aac7-6ca233d9ef73",
+   "metadata": {},
+   "source": [
+    "In this example, we want to compare the historical precipitation output between two CMIP models, CESM2 and CanESM5. Here will will look at the annual mean precipitation for 2010. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "46f5fba3-7410-465c-abdf-4e338855284c",
+   "metadata": {},
+   "source": [
+    "### Access the desired datasets using intake-esgf and rooki"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "5489ad11-3c34-43ac-8e22-6c428dbff1bd",
+   "id": "c5f4dc65-0dff-4023-880c-f511cbc58666",
    "metadata": {
     "tags": []
    },
    "source": [
-    "#### Get another"
+    "The function and workflow to read in CMPI6 data using `intake-esgf` and `rooki` in the next few cells are adapted from [intake-esgf-with-rooki.ipynb](https://github.com/ProjectPythia/esgf-cookbook/blob/cf69015a464b68ee28cfdd4a27cee4e9d6ca2ca9/notebooks/use-intake-esgf-with-rooki.ipynb). Essentially, we use `intake-esgf` to find the dataset IDs we want and then subset and average them using `rooki`."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "id": "92402d46-25e5-40c8-a6a1-9cb36a79207c",
+   "execution_count": null,
+   "id": "d053a676-2a27-4be0-93c0-eafb9671c0bc",
    "metadata": {
-    "collapsed": true,
-    "jupyter": {
-     "outputs_hidden": true
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "cbf4cf6500aa46c980bb9b7e0db8d9fb",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "   Searching indices:   0%|          |0/2 [       ?index/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Summary information for 1 results:\n",
-      "grid_label                          [gr]\n",
-      "source_id                     [E3SM-1-0]\n",
-      "mip_era                          [CMIP6]\n",
-      "member_id                     [r6i2p2f1]\n",
-      "variable_id                         [pr]\n",
-      "table_id                          [Amon]\n",
-      "activity_drs                      [CMIP]\n",
-      "experiment_id               [historical]\n",
-      "datetime_start    [1850-01-16T00:00:00Z]\n",
-      "institution_id                    [UCSB]\n",
-      "project                          [CMIP6]\n",
-      "dtype: object\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "cat.search(\n",
-    "    experiment_id=\"historical\",\n",
-    "    source_id=\"E3SM-1-0\",\n",
-    "    frequency=\"mon\",\n",
-    "    variable_id=\"pr\",\n",
-    "    member_id=\"r6i2p2f1\",\n",
-    ")\n",
-    "print(cat)\n"
+    "def separate_dataset_id(full_dataset):\n",
+    "    return full_dataset[0].split(\"|\")[0]\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "id": "398fd04a-d1e4-45ea-bd32-1da89c499a90",
+   "execution_count": null,
+   "id": "095db615-275a-4dbc-8467-833fd7992aed",
    "metadata": {
-    "collapsed": true,
-    "jupyter": {
-     "outputs_hidden": true
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "09167f14d6684e48bad54815094e888c",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Get file information:   0%|          |0/2 [       ?index/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "pr_Amon_E3SM-1-0_historical_r6i2p2f1_...:   0%|          |0.00/139M [?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "pr_Amon_E3SM-1-0_historical_r6i2p2f1_...:   0%|          |0.00/139M [?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "pr_Amon_E3SM-1-0_historical_r6i2p2f1_...:   0%|          |0.00/41.8M [?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "pr_Amon_E3SM-1-0_historical_r6i2p2f1_...:   0%|          |0.00/139M [?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "872fab3115cd419a82c83efcab7692af",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Adding cell measures:   0%|          |0/1 [     ?dataset/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "areacella_fx_E3SM-1-0_historical_r6i2...:   0%|          |0.00/50.1k [?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "dsd2 = cat.to_dataset_dict()"
+   "outputs": [],
+   "source": [
+    "cat = ESGFCatalog()\n",
+    "cat.search(\n",
+    "        activity_id='CMIP',\n",
+    "        experiment_id=[\"historical\",],\n",
+    "        variable_id=[\"pr\"],\n",
+    "        member_id='r1i1p1f1',\n",
+    "        grid_label='gn',\n",
+    "        table_id=\"Amon\",\n",
+    "        source_id = [ \"CESM2\", \"CanESM5\"]\n",
+    "    )\n",
+    "\n",
+    "dsets = [separate_dataset_id(dataset) for dataset in list(cat.df.id.values)]\n",
+    "dsets\n"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "eaf817c4-8962-49ca-8825-b7293b5ec00f",
+   "id": "777f6bc4-f3a8-4110-bc2a-82cbf227ec4e",
    "metadata": {},
    "source": [
-    "### Two models are on different grids"
+    "Subset the data to get the precipitation variable for 2010 and then average by time:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
-   "id": "9ed09ae4-868e-475c-9036-a2ceb9ab20ef",
+   "execution_count": null,
+   "id": "bf653879-96b5-48e0-be9b-0f0cc08152e2",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "# first gets the dataset, second gets the variable/data array\n",
-    "# will be different if you have multiple variables... TODO!\n",
-    "pr1 = dsd[\"pr\"][\"pr\"]\n",
-    "pr2 = dsd2[\"pr\"][\"pr\"]"
+    "dset_list = [[]]*len(dsets)\n",
+    "\n",
+    "for i, dset_id in enumerate(dsets):\n",
+    "    wf = ops.AverageByTime(\n",
+    "        ops.Subset(\n",
+    "            ops.Input('pr', [dset_id]),\n",
+    "            time='2010/2010'\n",
+    "        )\n",
+    "    )\n",
+    "\n",
+    "    resp = wf.orchestrate()\n",
+    "\n",
+    "    # if it worked, add the dataset to our list\n",
+    "    if resp.ok:\n",
+    "        dset_list[i] = resp.datasets()[0]\n",
+    "        \n",
+    "    # if it failed, tell us why\n",
+    "    else:\n",
+    "        print(resp.status)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e040d078-3981-4246-a10b-c50cf104d8ed",
+   "metadata": {},
+   "source": [
+    "Print the dataset list to get an overview of the metadata structure:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
-   "id": "65dee0b2-18a9-4670-bddf-29fb5f2980dd",
+   "execution_count": null,
+   "id": "b2ed096a-2cfc-4e51-9b2a-43b9ee4f103e",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;lat&#x27; (lat: 192)&gt; Size: 2kB\n",
-       "array([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
-       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
-       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
-       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
-       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
-       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
-       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
-       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
-       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
-       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
-       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
-       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
-       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
-       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
-       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
-       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
-       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
-       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
-       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
-       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
-       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
-       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
-       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
-       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
-       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
-       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
-       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
-       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
-       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
-       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
-       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
-       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 2kB -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n",
-       "Attributes:\n",
-       "    axis:           Y\n",
-       "    bounds:         lat_bnds\n",
-       "    standard_name:  latitude\n",
-       "    title:          Latitude\n",
-       "    type:           double\n",
-       "    units:          degrees_north\n",
-       "    valid_max:      90.0\n",
-       "    valid_min:      -90.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lat'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-00d81c59-2769-43cb-8bf5-f8f4ff779eca' class='xr-array-in' type='checkbox' checked><label for='section-00d81c59-2769-43cb-8bf5-f8f4ff779eca' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-90.0 -89.06 -88.12 -87.17 -86.23 ... 86.23 87.17 88.12 89.06 90.0</span></div><div class='xr-array-data'><pre>array([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
-       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
-       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
-       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
-       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
-       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
-       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
-       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
-       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
-       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
-       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
-       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
-       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
-       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
-       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
-       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
-       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
-       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
-       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
-       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
-       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
-       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
-       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
-       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
-       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
-       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
-       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
-       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
-       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
-       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
-       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
-       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])</pre></div></div></li><li class='xr-section-item'><input id='section-5fd87604-4a03-4ce2-9a13-4fcd6fb63930' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5fd87604-4a03-4ce2-9a13-4fcd6fb63930' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.06 -88.12 ... 89.06 90.0</div><input id='attrs-ef62af59-324e-47f1-9683-0a71ba4ceafd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef62af59-324e-47f1-9683-0a71ba4ceafd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fce556f8-ffc4-4522-bcf3-307cb2f5d465' class='xr-var-data-in' type='checkbox'><label for='data-fce556f8-ffc4-4522-bcf3-307cb2f5d465' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>title :</span></dt><dd>Latitude</dd><dt><span>type :</span></dt><dd>double</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd></dl></div><div class='xr-var-data'><pre>array([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
-       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
-       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
-       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
-       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
-       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
-       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
-       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
-       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
-       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
-       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
-       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
-       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
-       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
-       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
-       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
-       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
-       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
-       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
-       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
-       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
-       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
-       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
-       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
-       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
-       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
-       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
-       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
-       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
-       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
-       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
-       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dbbbebda-cafa-4246-bd72-6acba14be9fc' class='xr-section-summary-in' type='checkbox'  ><label for='section-dbbbebda-cafa-4246-bd72-6acba14be9fc' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ef8555a8-6043-4d10-8d6e-e9cb37ebb100' class='xr-index-data-in' type='checkbox'/><label for='index-ef8555a8-6043-4d10-8d6e-e9cb37ebb100' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([             -90.0, -89.05759162303664,  -88.1151832460733,\n",
-       "       -87.17277486910994,  -86.2303664921466, -85.28795811518324,\n",
-       "        -84.3455497382199, -83.40314136125654, -82.46073298429319,\n",
-       "       -81.51832460732984,\n",
-       "       ...\n",
-       "        81.51832460732984,   82.4607329842932,  83.40314136125653,\n",
-       "        84.34554973821989,  85.28795811518324,   86.2303664921466,\n",
-       "        87.17277486910996,  88.11518324607329,  89.05759162303664,\n",
-       "                     90.0],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=192))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ea0202e-4bc0-4e49-a3cb-f62ac5acd741' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ea0202e-4bc0-4e49-a3cb-f62ac5acd741' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>title :</span></dt><dd>Latitude</dd><dt><span>type :</span></dt><dd>double</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'lat' (lat: 192)> Size: 2kB\n",
-       "array([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
-       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
-       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
-       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
-       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
-       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
-       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
-       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
-       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
-       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
-       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
-       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
-       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
-       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
-       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
-       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
-       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
-       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
-       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
-       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
-       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
-       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
-       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
-       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
-       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
-       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
-       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
-       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
-       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
-       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
-       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
-       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 2kB -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n",
-       "Attributes:\n",
-       "    axis:           Y\n",
-       "    bounds:         lat_bnds\n",
-       "    standard_name:  latitude\n",
-       "    title:          Latitude\n",
-       "    type:           double\n",
-       "    units:          degrees_north\n",
-       "    valid_max:      90.0\n",
-       "    valid_min:      -90.0"
-      ]
-     },
-     "execution_count": 62,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pr1.lat"
+   "outputs": [],
+   "source": [
+    "print(dset_list)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "776f84fd-e329-42e8-bab4-54253636aefc",
+   "metadata": {},
+   "source": [
+    "### Compare the precipitation data between models"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ee469ea1-e402-4e55-b709-0de01e7875b3",
+   "metadata": {},
+   "source": [
+    "First, let's quickly plot the 2010 annual mean precipitation for each model to see what we're working with. Since precipitation values vary greatly in magnitude, using a log-normalized colormap makes the data easier to visualize. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
-   "id": "23bf623f-2f8f-4fba-80e3-d56a8c2621dd",
+   "execution_count": null,
+   "id": "e49b55e3-1970-4410-8557-9328f31853fb",
    "metadata": {
     "tags": []
    },
-   "outputs": [
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-       "  --xr-border-color: #1F1F1F;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
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-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
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-       "\n",
-       ".xr-section-item input:enabled + label {\n",
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-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
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-       "  font-weight: 500;\n",
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-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
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-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
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-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
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-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
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-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
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-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
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-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
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-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
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-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
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-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
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-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;lat&#x27; (lat: 180)&gt; Size: 1kB\n",
-       "array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
-       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
-       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
-       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
-       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
-       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
-       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
-       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
-       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
-       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
-       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
-       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
-       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
-       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
-       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
-       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
-       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
-       "Attributes:\n",
-       "    bounds:         lat_bnds\n",
-       "    units:          degrees_north\n",
-       "    axis:           Y\n",
-       "    long_name:      Latitude\n",
-       "    standard_name:  latitude</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lat'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-48e7768a-f8f9-476f-bff5-0b26a059bad6' class='xr-array-in' type='checkbox' checked><label for='section-48e7768a-f8f9-476f-bff5-0b26a059bad6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-89.5 -88.5 -87.5 -86.5 -85.5 -84.5 ... 84.5 85.5 86.5 87.5 88.5 89.5</span></div><div class='xr-array-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
-       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
-       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
-       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
-       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
-       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
-       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
-       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
-       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
-       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
-       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
-       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
-       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
-       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
-       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
-       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
-       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></div></li><li class='xr-section-item'><input id='section-ac42d0c1-493f-43f1-acf9-b2366c749662' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ac42d0c1-493f-43f1-acf9-b2366c749662' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-e44fa95d-10f9-4a98-a5f6-b27265b6a171' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e44fa95d-10f9-4a98-a5f6-b27265b6a171' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bbe22b4-74d9-4cb7-8253-a25c70786e6f' class='xr-var-data-in' type='checkbox'><label for='data-0bbe22b4-74d9-4cb7-8253-a25c70786e6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
-       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
-       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
-       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
-       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
-       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
-       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
-       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
-       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
-       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
-       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
-       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
-       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
-       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
-       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
-       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
-       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db85e4ed-f809-4e89-aef4-27400571a5a7' class='xr-section-summary-in' type='checkbox'  ><label for='section-db85e4ed-f809-4e89-aef4-27400571a5a7' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-56cda434-1e8d-412e-bc16-c6ca67e7323f' class='xr-index-data-in' type='checkbox'/><label for='index-56cda434-1e8d-412e-bc16-c6ca67e7323f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
-       "       ...\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66a78b8d-311c-49c1-bd8a-2ed0d92bbb71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66a78b8d-311c-49c1-bd8a-2ed0d92bbb71' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'lat' (lat: 180)> Size: 1kB\n",
-       "array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
-       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
-       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
-       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
-       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
-       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
-       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
-       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
-       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
-       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
-       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
-       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
-       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
-       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
-       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
-       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
-       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
-       "Attributes:\n",
-       "    bounds:         lat_bnds\n",
-       "    units:          degrees_north\n",
-       "    axis:           Y\n",
-       "    long_name:      Latitude\n",
-       "    standard_name:  latitude"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pr2.lat"
+   "outputs": [],
+   "source": [
+    "for dset in dset_list:\n",
+    "    dset.pr.plot(norm=mcolors.LogNorm())\n",
+    "    plt.show()"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "d5413965-e337-4410-bb67-756689da7c0e",
+   "id": "6cb2aca3-16b4-4bc3-986b-3b1c3e3b4c51",
    "metadata": {
+    "jp-MarkdownHeadingCollapsed": true,
     "tags": []
    },
    "source": [
-    "## Starting plot - no regridding"
+    "Uncomment and run the following cell. If we try to take the difference outright, it fails! "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
-   "id": "f8fac83b-50e2-4036-839b-bb0c3556d2e8",
+   "execution_count": null,
+   "id": "4276c97e-d798-42b7-846b-98f6460ce897",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "# import xarray as xr\n",
-    "# import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import matplotlib.patches as mpatches\n",
-    "import matplotlib.colors as mcolors\n",
-    "import cartopy.crs as ccrs\n",
-    "import cartopy.feature as cfeature\n",
-    "\n",
-    "from matplotlib.gridspec import GridSpec\n",
-    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n"
+    "# pr_diff = dset_list[0].pr - dset_list[1].pr"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 106,
-   "id": "97055388-90d1-4e51-ba10-ea46b3fd297d",
+   "cell_type": "markdown",
+   "id": "5c7745fe-2ddd-4232-ad1c-c76601909db7",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
    "source": [
-    "# also harcoded...\n",
-    "figsize = (6, 2)\n"
+    "The models have different grids so we can't directly subtract the data. We can use the `grid` attribute to get information on which grid each uses."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
-   "id": "70e1bbdd-63a7-44c7-bbd4-8e8812e0abe9",
+   "execution_count": null,
+   "id": "11beadd3-beef-4337-a6cf-1fdd1d657ddf",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "# Harcoded colorbar limits - make better!\n",
-    "vmin=1e-8\n",
-    "vmax=5e-4\n"
+    "print(dset_list[0].grid)\n",
+    "print(dset_list[1].grid)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4947c0a2-e796-4a57-aaaf-d4ba07fb26a6",
+   "metadata": {},
+   "source": [
+    "### Regrid the models onto the same grid with Rooki"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4823272f-614b-437c-8331-95c24c267b47",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "Look at the documentation on the `regrid` operator to see the available grid types and regrid methods:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
-   "id": "7e111bc5-42cd-4d3a-b7f4-8df3479e0e9c",
+   "execution_count": null,
+   "id": "423e4302-6aa6-42e7-9686-d99c1b8cd3af",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "# pick some time step just so you have 2D data\n",
-    "# TODO - average!\n",
-    "pr1t = pr1.isel(time=3)\n",
-    "pr2t = pr2.isel(time=3)"
+    "rooki.regrid?"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "1e9e4fd2-7804-4f28-83cc-3178463f0127",
+   "id": "8f6d5022-7973-4133-b321-5b4804f5eb9b",
    "metadata": {
     "tags": []
    },
    "source": [
-    "### TODO - Mollweide or Robinson?\n",
-    "need to troubleshoot that"
+    "Here we'll do the same process as before to read in and subset the datasets with rooki, but now we **regrid using `ops.Regrid` before averaging over time**. In this example, we use `method=nearest_s2d` to regrid each model onto the target grid using a nearest neighbors method. The target grid is a 1.25° grid, specified by `grid='1pt25deg'`.\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
-   "id": "86ab0c4a-ce76-48ab-843d-e79333bdd58c",
+   "execution_count": null,
+   "id": "4993b311-f18b-4d79-8902-a6040aff3271",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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gtyn0uGy64m+ObkfEree19hNvRXaVkcLgOgm+E+cK2ZUJ9dAjSSRh4NqoYVu6w0Sq5VVlEaLUu8+UtLdiOdGB8fx8Sz/1dwjpWiSgAVJ7VxzubUmTG6EA+Amir4fKRWdQvfEunkxG338VhXUrUk8zNU6FsWFsDW4xoeBFSGnouuocFr/6bKSOEUqSGIkSGmgA1jmIGzGNfbMk9ZDo0AzNHQfBaBZcdRHSd4+aQ9aZYU7rvb7XXkb5uedQ/cW9hPvGSWbmCbbs7hj7xL9/l9o9mymsX4VwFO6iYfyVS8BtGVHZ3mRMajAcpjTz/SqIMEGELDgI12t9pN2AyPbDJLPwySNquReNfZ5CmU5D4SliR56mh2w1qA2P2BFmFol0tR2cl6BjCWkIVQjQmccRS9CQlGx+OPdKsBeVK1+Tbn6qzUtJErZ94Z8wYSvfkzRquTK2H9Js+eKHAVj08jex79uft69rzROjzKzM3XdnhyIvb9jIyJWvI56bYddH/7bjs4e+8438b9lVwVu2iIG3vAyntxsTi05keBbqOHwzM61wk70YgTAiVcqCuR/fmn/c1XUKfkTBsUZBNfCJYkWSTmKVhoIcpVEiDY8Kayh5Kqb7nIWM3PAeHv67HzF506PEE7MsfNNzKa4cZuqG+5Cuw9ArzsUZ6s/tFCX1Ybkc+3qcqNa+69idNfMMknqTyW/9gubWfTQe2XXU+yzQLHzXy44wJpXS9sdJiCOo3vYQwfaDBNv2kMxWiccmjnh+7ugoqliiuW0rGMP0D3/UYWiN/v67KC1anoY36YzetEdi0v9r27ew98v/dsSY/eFFhFPjuL19DFz2YkrHH58bkzKmpdQTYT1kF2IhEIo0NG4QmRb6f1Fe8/+17Jyf6vi/M9yYbnJ0vtbxt+n8bEdI2qShRU1rbUhjjRojUoPGYKKEQ//4pY5xtCtjgHDbHva97+MUTlhJYeVCZq69lacq+//2yx3/j/zZGymftILqbQ8y9vFvdby35fc/m19P17I+Ri5YyarXn23D1gjmnIQwVlSFT5JIksR6m0nDQTQl8rAISX67fA2uQTpNpr747fx9WWogC5okVJhQIiJpjTo0qt5mXXpAseUwdPU0MEZQfvcLab7yXLa/w3rK3rIRht52OfX7thBPz+P0lOg9e611qHSEMXYvKbhRB3C07AU4UuPJlnGijSDUCm0EMw/tY+8PHmHmgb2EB2eOep/LJ62idNKajtcOT7PF0zWqv7yPcP844e4DJNPzJNPznQeSguIp62jc8wgAjXsfoXHvI/nb7qJhFv71e1o3OFOSmYGUKcl0vWIEk1d/h+rNd3Scxl04TDw9iywV8UZH6L/qpTgDvXaOdszz1gM1kILnTG7YtL/3VOTpKeSkTcnY0ZDldXI0G2lsPl1YGJF+3NjNSWNj8K6ABGQg00Vp4/wisWCdPJcMNPbuZPfnPpGeMrNOnhxQEo4dwOsbJJyeaH3vSRRyu8jeXmS5jI5C3L4BVv/dPxFPz9Dcs8uOKQVkxQRU77+XxqaHOfDnH2fBu16Pv2J5q8wJyMuZMm/QtPIPWQg185CFtJZVtHNbh2W74OzlSGEXXKQlzdBBa+v/WvS1zvMzGoE0xio3qXHS8zoObPjzFxJ/4EUYI4hSxTpw2lKMsWCwKCbPEyupW1Zldtshf92+Zt+Lgdpj+9n9p/9+xL10ekqUjltE+cQVqOEBTKFIfesB3JF+TByjukoIKane8RBzv3gAHUQ0Nm3Pv1864wS8ZaM4fWeg+vvRtQbe6EJUpQvV04/MLdyA6e9dx/ytrZDW5Pe/x3z/AlSli+KKVTT37CKenUYWCqhime4Np+ANDuferm4cHWgTjNsISzg+xuytN1NZc3zr0balVxDWiMxL31IFk4G6ngro7ZkkrRpR+2PaPLPWdbS8wNa/bZ6BzOaPSSMVojOfFovc4zNSWNRwOq8mPvtV6vdsah331yzfcPs+ei4+6elcYoe4yxcT7J3DW+lTPOMUln/5RMKd+2B6AseXSNfuIXq+xsGv3cLj/3kP4w9PsvbPX4wsFY5YF1IaazRnoWlAhgIZpderDHFFI8ox6Jjqz1tzt7R+CW7FJYls+Fh7dAACO+IspSRPF/VX6lQ867R0ewHecMzpt/0OsZE0Y8cq0XNOxVMJ3W4AHCQ2EkfoXMlmoo0gNhJPJvZH2T1IYuzxQsFN7/g+M4+MHXEv/SWDlE9YSum4RbhDvTZ1c/AA3sJBorkmTm8ZjGH8P39CuPcQGKhv2gaAt3SY0tpRnK5l+IsHMa6L0ZLCyoVQKkOpy94/Y4gn6+x919/l5432jTHxya8ifR93eBhv8Sjzt91hcT6ehzsyROWM05Cen1fqmLnmEeOPDthrSppNGlPThDv3WoWsBThpOF9pclR5W0nkUb3h6P8AyjrYc4Di2hU5epS2NSndTOFkeQhDuGsfwnVwFw1bhFyqpI0A4WlQBl1JWpZzJCESyEjm4BkMTD9gJ6q7YAGyWCTYvfsoo+uUyTtvRAdtN/oo+eJ2UZUukqq1xvTMDPO/uoP6449RPv00istXUFx/HMVFJyKizrBT5eSTSapVdv/lXzH2d59i8O1XUTpnI8o1OG5CllPJQXBtG7JydA5qyOycya9ez8R/3ZZ/ZsW7no8UdmE3I5c4s7wzM01polghpSFCIYVBSp17zTL7weC4rfPpVPHGRhJEkmA2RIaGMBS4gz0k2ubEcgBfqpyzyZYdXwiY+epPOPCN1pj9hb0s/73nUdy4EuEohDDE1SZ7P3cjU9ffd8S995YNE+6yC6B85jpKJ69GN0MWvvdKVE93Gs4Wec7NRNkGZ9DpLi0KLqVzTiE8eBDTDND1BrLgE02OM//AvczcelPrfMMLCccOMHXjDSx567to7NyG09WDbgb0nXMR07ff2Dk3CiWkX0CVK/ScdjamESKRJHFA4rvQ79qQtWM3WaMMxtM2epQdxABakIzPPuk8fCbJSKqRVTyHV1CdpXJtn8u8X60FST2kue0g7ugATq/dOHNb2GDz6gowBoEEKVr5z7YQYFKv58q467nnM//TW37teHUjYPaGe57WNTrDA8RjkwBEO/cyvXMvjXsfpLjxOIob11BYsxjljCJS7Ewm3Redxtx9O9j9wS9z5299nJP+8/dwB7sRAgpeTKw0YWS31yR1UIyxRkceyVaAY0hqhj2/85cd4+p79WuJ9pfsXiMMEkhKGuHajdEZbOb5WCltCB2gt9BAG4EjNJ6M0/Wf0KWa4Nn0VqztPtFsaOZqimA2wOsroUoeBSfGERopWnuFxO4hsZFIrNEfNAzXXf4l4lqLVrXvuScx+Fvn4YwuAOwe0dx5kD3/8B2CfZNH3vuBbuJJW9nSfe56vEUD9F6wgaFXPTsv2wSIY2sk6ERaPyzPjAhUb4nelz+P+n2PkczOIwsFdKNBuHsv1Ts6w/XuwmHmf3ELcz+5icGXvpRofALhupTWHkdz1y6S6enWh5VCVsrIgo+/fDFqYS9axaDT0HbRRznCGtvQUebVWQ5swBiiA50pwicSYcyvdxvn5ubo6ekBYNkXPgTKpQOckSqZcP9B5n54E+HOvUQHjgwx+muWISslVE8PslwENO7IAtTAAN6iEYRfINq739bwbd9LdGCc5NA0utYg2L/nScfYd+FziGZnCA/sxxsYpvrw/QilMMlhObujeMqqp4fimjVgDNV77gHPxVu4EB0HxPusopDlIt6KRfRedhmFRUusx+Br6wFpwcTnv0HtjtZmsP6zv0Pv8p5cGYexQmNzvUki8xBzPgahCfeMsel3Pp+/Nvrik1j7rueQGGmVZ6IIE0W14R+1VEGm+XxHacp+iOfE+CpGG4EUhpIT4UiNMJr5h/dx4M591MeqjD94iLldnYqitGaE5X/yUtSCPhDSljlhEawAMj2PozS7PvY9pm58uOP7az71DupbDuD2laks72PH33+X2qP7GH3DRYx991cksy1vtOvMNYQHZwj2T7Lqs+/F6al05H7aQ1tSmdzocJ0kNxqCpmtTJanCFtp6YiISmHqIma8jajFupRclPeYeuZ8D3/7PzjnRBvSrnHgq5TXrMI0mulEnadSp79pGcGDvEXNP9fYwcNXLQYLwPUTBQ3b7NDdvRVerqO4SYBClMhP/ejUAs7OzdHcfWcbyTJLn/MN7+fmf/BOVc05g4XuubL2RGplZbfzsTQ8w+8uHaG7df9RynsLxS3EX9KK6SwjXw7ge7sIhnMEB3MUj6GpEtGcM3WwSbt9NNDaBrjVobtkKyZMb0gt/73Imv3cbhfUrqN/3OPHErAVixU+eq3dGFiBLPv7yUZo79xNt34sa6scd6qe5eSdE1ht0hvoonbyW4dc/F7fsoNKIU5xIkkbElle3vDOhJOf++L0YI6iFHtWaTxIpiwKuK0RagiPi1Es2oIuaA5/6N5qbt+bHWfyhP8ft7rO5Ywna1RjPoMoRjpfgOonFiKQKueDEFBzrIQ+Xqmgj8FSce70agcQQNhO2/XwvU48cIpxtcODmHeigszxr5VvOY+VLN9DdY71mgGbipMdMCBNFqBXRfMCNl3emd/peeAbd551ANFXFHexG+i473vMZAJb80cvY87HvdHy+/0VnMXXdr+h93qmM/u7l+XyCFoYFWgo523ug5eQAab47/TtNlwIkc1V0MwRjUIP9yFgx/m9fpv5AFnXJLKPWRjrwxldjktiu+1qdZK5K/d4H0PXGEXOodPoJ9LzgbEwUIStlwKAqRaq3PoAq+siSDxjiyVmmvnUT8OvX/dNSyF2nrWLk91+CLvXmaDyjJbM/uJmZb/4QANXXQ/Hk43EXDeEvG4IwpLllJ8nMHEokxHN1wqk6yXwDECSTM/YkUiKLPrpmL1y4LjgK0wyOUKBHE2dwABPFloDjaYgsl9C1J64J7L7iYgrHL6d+6z1Ub7X56sV/82b81UsxqDxUHM3U2PnWj+TfW/q2i1n2ylPz/xMt0x9B0YsouyFlFTD98EHmd04RT1XZ8r3N1MZaYznrH6/AOfG4vO63kVrcWY5Yp8oqTidqy2s1eCpBSZv/8VSCxFCUIWM3P85jV29i4uEJ/N4CxdEeZF83Cy46Hum7VB8fY89/tuXgpMBf1E/P6avpOfd4VMFh76evp+u4YUZedBI60kzdv4/x6+6huXcKt69sazL3HmkRA/RfdALFE1aw739fB8Dy913B4EUnUA+9HBjhpGP3nTgPkc/Ui0SxRecr1dqMMgS3UjrP2yVRa24SSBsWjdtDhYAwJOMzNLZtp7RiDcr1wffQzaZlo3MyshHroRgJcTEhmjpEsG0HSIV0fcJd+5n78c+Oeq1PJr8JCvmSf3ofP33vx+h/zXPpv/w8hFI2GiYMuhmy6z2fJBybAaBrw2K6Ni7FH+qhvHaE2taDVB/ei9EGkxiCQ7PE8010IyBpRCRVG72SpQI6iCA1nGVXGd0IrGH0a6JaAP7KUcK945go6nTbn0wpC4HwXExw9KYZ7tKF9L3kWZhEM/6Z70Kc4Ax2s/rDv4030pdHjLQRTH7vNsa++JP8u6d++z3Ikk899KjP+3kZjvQTPD+m4EfU5wzV+7Yi5mep7asze21nWdbSz/81TtHJw59SGXzXKs6iF1FOQ9K5BytMnt/t9+s4MkEJQ2IEoXZoTAds+fYjPP6dhwlnmpSX9OJ2Feg7ZRHda4cRpQKPfvQnBIda+VpZcOk6fiH956xi4ILjmbp9KxM3PkrXKSvpf+Hp1LceZO6+nYx/x0bGVH8Xqlwk3HPoqPd00Z+9hvGv/IRwt31/1X/8EW5/JX8/i8D5nr3OshfmyrkRuUSxohm4nY9RtpyaJJH5429Pq2WAsSRWtiKoKQk37yKZnae48XjwQHoBwhUI5aDjFEQXthS7iWOaj+8gnpxCFlzwHOZu+AXhtl8fqT1c/kcVcruUz1hHYeMayueeydg//AfBlp0AFDeuYtlfXGUL4CG/YRngyOYqVT6hw3pMODZL89FdhONzFDeuRRSLuMODoFxMQ5I0qiRz06iKD8on2LyHaNcYsz+84ajjdYb6iQ9NHfU9b+VyBt94FZNf/SbBY9vy1wdffTETV/8c1VVk9A9+iz3/6+r8vb4XnE7/5eew7Xf/NX/NXzpI9xlrGX7dc5FS01UI2PI332f8F1voPmkpa//8JTY/moKrFpXn6HKbeDKmL5mmtm2CO7+6lduvs+Ms9nl0L6qw8MxF+MuGiLWgfNwoUwdCwgDqu6boetZGvN5ibqVL7ITMAFxFJ0pzPQleWk/mCE1RRVCrc9Nf3MzjvzzE4jOGGHn5WZROXWORkbM1/J5CzkCUNELmt03w4B9cjbegC6EkwcEnNnSEIzFxVies6DpumHCqhtdfYc0fXUp1+xTjP3uEqVu30Hv+8WgjmbvVAjHWvvtiFr/4JOaaBRLTaQF7KsFVCa5MCBKHOLFAtijNc2XKWKcoR61t5CHRMk8PJA3HluNlJAFpZAMsXkE0JTJMF29G7CHApMxUwtFpHaW1C7PSJZNIW/pjBPHMLHp+HtVXhDiAICDcc4D6vY8y9JqL8JcMISTomXmizTvY/vff+41QyJf97/fww3f+c/6/KhfoPnstA5eegjPQxWNv/t/5eyvedzmDF29ACoOjrHII41ZGLDHWS0uMxBhDMl9DH5hgftMuEqeAv2E1uC5yaDAvoQn2zxBPN3EWDmBmp4h2H6Dx2G7mfnb0sLSslNDVoxvXA29+MWjD/I13E+604UN3dIhkdh5dazD47tdSu+kuGg9szr+z5MNvId47xoFPXpueQFA5aSUDLzqTrtMtQMkkmodf+jcAjL7hIoZfcW5uKPeWGihhlUNfoYEzP8PUA/u463/fx/zeOYQUeAu6KC5fQPepq1BdPtor4S8ZtIx+h6ZQSjB0scUsRInqAFkVVJwrY0cmOELjpoo5SOy933v/JHd84Aaiasjyy45j+StPoWtxN3GoCasRXm8x96IbUw32/uhRtn32FsrL+gmn60RHya/m86G7SDJnHSh/6RDugm6q92xl9K3Po2vjEhqP7mb/124lnqkz/LbLGPvsD/Lvrv7GB/MKDQF5ms1zYyQ2PZB5wYm2+e92D1kpe61ZcCuLPtrHZFL0NySmlXZLtCCOFUnqcecGT1pBYAzETdcCczPaWE8j/SRnH5NpPTUmIdp7CC1dhOdgqnXQCXO3PISJYha99bn4Hhit0Ycmmdt8gO0f/eGvXff/PepMoHbXo9TuepTqLfcRbGmFkxsPbmPfP3+XhX/0SoucS/ObQWSVsjH2t87qZlUBb1EBb9Fw7iHlMXgTESkHWS7iL/Rx3AQpDN3LVhJFa+m78lya2w9iggThecTj07gLB/FXjiB0g3h8hnimhvB9ZKVEc/NeiqecjEQx/L63Ee3dyYG/smQhE1f/nMJIN6vf90Imf7UdVfJI6taCXvis5fSsKrCj6KEb9rVg9wQT+6ZY8ZZn4ShD2Q3zSbDsivVU+h0aaZlC0YlYUZ5g+/XbuPGTW5jcU8do6O53ePNH1rDmBcs4mAzQSFwObm/w/Vd2hnZy+cwNHPf5P6AwVLHWcWpBujKh6EZ0uwFOuiDjVGlJmTC1eYKf/enNNGebvOqTZ9N15lq2zC5g4qExHv+b7xNOzIMUnPaVt+MOdGPcEo1xu7GF4/NHHwvg9hRZ+/bzGXz2cQjfwyQa121Z7mFiDa/CogEGn7UGR2hmJxPuv/JfAFj04pNYfcVxOG5IpFUeRchC7Jky9lSCIzWxkgSJQxLKDmpQKQxxCnIjA6IJUMqgHY3JgCop2E642nq+yqCVwRSsF2OcVu2ldLUNj6fobyEMYehYzzuRac29XbTuYBcMVSxbUgry6Fo/zPALT0RKjRAWYBfFNRpPwtD0TJPCROdYk1qT6Z9tYvpnmzoR1cCOj15Lcc0ohcUDOfo/k2weZB6PowxubwlvcJTejaO54g5ihTEpeDFWOEt7EMu6iSIHMTBCceUI3RedwuCrLiQ8MGVLb2JFNDZJ+bT1iIKHbgREew9ZT75SJJ6YQ1ZK+CtGEQK6LzmLic9dw/zPfkW0/xBISWHDaoqrRpi7dt56zqFduF1Lu6lV2wxRbajet43SqmF6z1pl75Hf8rJXXLYax29Sjzw836aLKrLOIx/7Gb+6ZR/NaavcBk8c4fQPX0Zh8QBzcZFES7b/6084dN29R30O1fu3sfI9l+Uh3UwZW+RzjCcTpNC4ae5XG4ki5pFvbeaej9/JwAkLeNbfXozT302oFY9+/m42f95WlCx+wfGc/KfPtaVbvWVmNtka5dquozs0AN2nLGfpmy6ksHIELSQiSZCOzFHanhNTdCLCEzay8uUbqYU+e6/ZlH9/8Z+9CtczZNC0vExTmrxUU6eA4BZ/gbEgqlQyp6S9jCr7OzECLVT+GSfF2QhhFbmQtqyrg7QoVTnKS0i0goLuABJKaXCcBCfdC4QwFFYPto2niBKGBRsv6hijMIb5sSkUT55CyeRpKeS+Zx3P3P270nBzOlDvyEPM3/4wK/0IrQVSpnXKWhKEjq1nK9iQSxirDq+o6EZ5/Wwt9AgTRakYWo/Pie0xYodECzw3QZYNemAQJTVKGKA7fSjzeE6CO+oBHpFWNCKX6qITCA85BA88zsS3vkXcnsQHmgfneOi9nQw5AI/82bdZ/XsX5soYoGdFL2f+/WWoUgtEcdZfXsStk3Ns++wtjGwYQC4YQgrDSHGe8MFtXPNXm1i0usCzP7iB3hU99K4bBsdhXIMrbG7IW9QZpiv2+zSmWqVeI84h3LL9O1uYWbjKkUkOwPBFwP5f7WPTDdvY/ONdjKzt4qWfvITq4FIeHfPZ/r1N7P+PVqjN7a+QJAInXQB9569j9KpD7P9aC6wFcM6330FSC/AXtWgVYyNAg5SSWLfAILXQJ9aSohvZnJbUDA0bLrr27Rgh6O0VeDKhHisbPRGCSFtrVolWHTW0yEkckUZahGqF7I31iIW0na3iSLWak0iD9BKMY8PXRmDL75RGOAbpmTz/JEVroebn1QKQCGnyUHkijS39SzcNREr8EQYoz+D5kp5SM08rKGmt+bs/8j2qW48e0nsmSvEEu+H0nbKYmQf2WfaldJPqO3MF07/a0fH5rX/6Fc76xjsI0zWapeiKbpzfB2gh+cPYwVUJXX6zBT7M5k7k5WjeRmRDlXEibRnlcInSUDlP1egNi1IvK4aSQgwuzI+TrOwlThQ6DJi4+kbmfnKnTYNlojXNh7Zy8CNfIDoMeLTzf32T8tK+jtdGXnU+C648Py0pTBgs1rn0y6/g+t/+Fns/dxOn/+mzmVUVur2AbuZ5+N/vYsu129h45VoGTh6lsHIhengIbQT1JDWahaG4qLfjPH6PTzBrxylmZlhUnsFVdk34KsYR1jlRmNwIB6hOBDzys4M89l9bmNoyxbor13PqO89AOA5jO+bY/JX72f2DR/PPG5lGMoXGcxLO/sgL+fmVX6ZxsEUjXF4xwOkffwVJZHB6y/meLYnaPFOb1/ZVnGNVtGOfc2Ikiy7fSP/ZK3H7KkhHIAk7QHJRokiMyF873NN3pCZpSxVkcyG/DmPnVRQrkkTmJbeZkpbKAt/ctnOWPKtvtBE0ItfuJSohdlVe9tluLNh1rPGcGFcmuVEUzzdwu3wibVHssZY57iecrPLQB77LU5WnFbI+/5rfg0KB6YfH2PnZn1N71IZ+lvzJS9nzEcsqJRzJktecw7LfPgeJyS+4tmcGpqYZOGkhXtjA6/YJteJQvUKc2Do+lXpFJTfMy3Uy0UYwVS/ZhxQ71Oq+zWMnaVmBAOklFIohnpvYXKIWaC3x3BjfscTHuz7zc8a/fyfCdRi86iJmfnwX0aGZ1ok8B1XwSObqSN9BR0laSN0pL/zMpfSftJjYSLSRSKEtOvHgQa555y+oTwc85x+fS9+KbvoKAZ+84HsAvO+nF1PtW5grmMMXlTaCpNrkhg/djVtQNOciyiNl+k8apeu0VXhdPhJDQUU4MiHWKh9DTpepDbe849uMPTRJ95IuVrzsREYuO4lA2rDwY3//I8Z/2gJhrf3L32LwvFUoRa4EI62II830PbsJDsww8JwNtvi+oPIwvCN0Du7R6WJRUuce63TDPq++Yj2voZ4PfRItkcLQX6gTasVss5jnx7OaZiEMJS/CUQl+Wm6RaOshNyJLMJClPjJe7UySWFlUdiI6QB4Zal+E9vPCtEpgjWugkCBSzxhAOUmOEchy1nEiiSNFEhjqt99HtGs/7mAZp7vEgU9eS2HlCGs//hbidLMVk4eYu+Fu5h7Zx+yDLaTlb0LI+t23fJRPPOuPueSHvwPaMHXPTu75K5sm6j9pIb3HD7P9G/cDUFnay4l/8hx6N4yiU4sm0TBxx066Vw+gSj5aueC6RFrlXnG23qUwVNwwBxLFRhJrSaiVLddJHBItibQkjJxcGbdvmmA9GYufaCn/5kSVLX/+DRo7xymuXkjXGWs49LWbUd2lHISmuks2r601wnUwWh8BKHN6Spz+zXfmodGSG9LlBVTcgH3XPcStH/kVo6cN8ew/O5OBIYeHvrWFn//TQ6x/5XGc9IfnE2iPudAnSEFSWQomA101HtvNvi/9gq6REqYRsGh9F4tOG2LlaX22cQmW0S4xInVAwBEJrkjQRrDz4SrffOPPSGLDkjOHOflNJ+KtXwnA5JTh5iu/gCx4FnTVXeDCz/wWXUt7O1DUsZbUJ+rsu20vhYU9+MuGkF0lhLDkJzJNCdmxiHzdC2EoOlGupAoqItROXmpVj1pkG65MOkoy2xvkZNIeZcvmS5h0pqraJTuG1q3QdXuJYR41S5WroxKKbpwby66y19aIXSSGSKs8RZB9XwqDmp1i5qf30xirsuzcEbb+eAe7fr6LU//wbNa+ciPa2Aqj7bceZN+N25jZtI/m/pl8HP+jOeQLr3sHTtnPLYBEQ21/lU2/8x+YIMZfNkT3Ocez/rdPpK/HbswlGmz96j3c8akHO4654sQKI8sLFHo8hjcMMnzBSh4Pl1CPXZuHalPIsZZEWjHbKKC1REpNo+nlhfd5qVUkOzpvmEgiAmlrfj1N9e5fMfnv32HZ25/D0ivW4xbSsoQwZtdX7sRf2MvUXTuYf+wAzYPzrH/72cSNmO3/9RDxfJO+05fhyoSkFrDuNSey9OIVHZPJEdZCdOrzfOdNP2Fimw33LljdxfjWeX7/8yex4IyljIddBNoh0A5SaHwZU1QRShgk9r5lrFvVxKeRuDQSj2psuXA9aRGUjkzy5hIam1uNjSSJEr5xwRc447fXsPRtFzO+ZRY50k+hbDeCX77mSzT2zbDg0hMZv34T5WX9HSGq0//jdVRWDOLIFjVgFhrOJHstB0+km3BmhCVaMh/6uFIzXJ5HCkM9dqmGfu4tdXkB86HfsdiyvHGWC86s7kzJJ0bmHlhiWixh9XQ+JGk4+aiUdpnyzQjn89IErJfrJyhH28iOSpCNKm5tGpFEKN9lavMEiVfGWzrCnj/7LMl0FXekn+hAp2fVc+7xNHcdIpqyKE+3u0DfSYvoO8XWfG/5xI2/EQr5H+/7HH906lv4rZ+8Ebfs0UwcmomDMYa912/m0b+/HoDFV5zI8OmjLL1wGULZTT0Zn+b6136LuN6iU1W+w9BpoxS7HbqXdrP4tGFGTx0ka57kyzidV5KpqEQ9tlGyWuTlG2SYWA8obssnyrSkSEmTpgha3dEkhs3vv5pg/xTH/dVL6DtuQa7cZnfOcOCa+/BWL2HqhvupPbSL8rrF9Jy5ivquSWZusmxf3RdsQE/PIx1Y9Ucvwh+0KSNPxRQc6xEOeDWa92zm6t+/kyQ2+BUH6UqEkrziuiuZjcvUY5da5OUKw03BlpkycISm4oZI0SLh8GXcYazb361rz5Q5wOPXPc5Nf3077/vpxYTdfWx7JECuWmadmUcOcdvbv0nfKUsIp2vUdk5RXNBKTQ2fv4JT/vqF4KhcQWsjmA0LuXGZYQMyBdzOmV9yQ3r9Zl5qFWvFTFiw3mfsdvAbZJUfmQGf7fXZPp8xnzltxn2iJXF63e08Cu37TuYxh4nKo7NZnjkbY5A4+dwopp58VmcNoOOE+mST+lRAIh2CEBo7xuk5fpjm7gnu/asf45RcnIJDc6oVKR48YQFO2WN2+zTBbBMdaSrL+xk4eRF9Jwyjg5hNH7vpfzaHnIWUPJWgjSYWktCXmCBGdRWIxqYZ//rN/OLrLdTg4nMWsvf2Fi9psc9n+fkLEUnC/r1VmpumuPHL++kZeISzntdDoVxg2SUrmV16PDNh0d7cNIQ5WK5Rj7w8J5WzhsUSpMHrDlt5hFCBaxlwTEpWEu22JSsiCpGek4dTcBRr33I2nkxwX7iU715kCS5GrzybWEvKL342D7/jc0zfvQu3t0g00+CWD/yMM//mUlZevDSt2zM5T7OsFHnlV57Pvvsnmd87y46f7WbdhUOUTl3FZOQRaIconVxKGLSRNBIblvNlTEUFREblSs8VGtdpUlQhsVGpVayJagE3/NWd7LhxD+tevYG173gWkXaIjaSyuJfNt0yy4/EbmLh9B6Xlg1z0xSuJqjGNAzYvtuiSNUzd/OgR+aK4GuQLMkpa1m02kY1phZa1sYT07R5/BtBYWJmj5ERUY4+ZZpF6aK9RpV7MTLNoy0eMDTG5TmqlRi6JFihpDbPMowZyLwnIF6wQBlkI8oXntVEazjUsYYNMkZdxItFpnjqJFEmQ5pe1QEcWxR3t38/0F6+l9vCToygLJ6zCXzbC7IFOZqhoz0EWnLqY2q4pRi9axeLLNqD8tPlINWLLJ2482uGecTIRtMLr7cxMIPLrKS3tZ+81m9h7zSYyqNXg6UuYuLuzTLEw3MXC56+n+ugB5vbX2XvbPu7/7P2MbuxjyUl9lPtcTrtqNUHBGqsSQ5gomomTAvpk7gkbQ56/z3KHh/cLz3KQCVDdvA8TxJZRSwgU4DsxPct76XrXxTRCF1X2qT20C3+0j5ErzyNOJL3PP5Od7/8883c8hkmsx/zo+7/Guo+8mtKCIkDu0UuhGThrOW+7rp+Z7TM8fts4Y1vmOe2N62joAs009Npe0y+x2JNMIWVeKkYSagdHaEvMYWK0kdRjD41g4v793PKeH6CDmAv+4xWMrO/HkQmFpbb+9/v/8Dh7H5iiPlZj7bsvZvSKk5kds8ojqTY54T0Xcee7vpMrY4D5HVNgTEeaKDYSVyZ5NKMdpJeJkjoP32fKOEwNN0hD0brFm9CuxOMUcBVpk6cw4nRtutLma5XUNuXQliNWafg4k8MbVLiqZcBkf3e5ARpB0Y06HAyJ3WMUMTt+uIUHPnknwcwTA9kATnjH2ez47sMdCnl29yzdK/oZPncZ1b1zrH7DWfScuIisQ1VSC+BjNz3pceFpesgX/+DtOOVWo3JthAXTGEEzdolj2P4vP2T6p5uOOIZfcXnFNy/HX9CFI5LcK+xSTYKD09z2hW1su2eWfdsDvJLi+R85n+JJq5gKSoRa0Yhdym5IrCW10GemVkwJMiBupnmGQowQkMSSpO7kbCoq9XzE1AQTn7+OqTu2I1xF+fhFDL3gZFZeNEqlS1JQEcYY7vnEXWz9+gOc8LcvpXLaWuqhS23nJJPfvx0V1lnx22ex/d9/yfRdO7jgXy9n6RlDHQpZCYOTeriZtxsZRaxVbtFGRnaAMNotvbIT5BNGG5F60vY4UhgaiUtsFPd+bhP3/dt9+T0+/yuvt4hUI5i4YztbP/HTjlKGNe84n/reOfZdu4m1f3Y5ST1g27/YEGT3qctZ/ceXo0o+ylf4Ks7Dz7PNYr5QMrHh4s4NJqutltJQdKOcpGC8ViGKFXEicZTGc+O8pjELO3tujBImBfaIjtKtHDmdztTMIMuQ+9ln3DS8XVBxzkzUSI0JIUyOP1AyNTZiRRSliP9EoptNZr7zM2Z+eAeF0V4Wvuo85FA/wnUswK9/kLlbH8Eol/jQDHM/smQVQ6++kENX3wTA2V9+I91LuvNnny34bNOtzSVc/4LP/kZ4yH9514f4X2f+FS/76esRxSL12M2ZnLK5kGhJbdckD3/wGhp7jgQC9T17Pcv+4DL8osoVZskNUSKhds9W9n/vfqr755jYXmXFGf1c9rHzSSpdzEcFDja60EYwHxQIDwsfZiHbjDSn3TvK0LhKaYpuxMw9O9j20euIpuu4fWV6Tl3OwOVn4q8cRam0pnVqlof/4D8xccJJX3knibAGe+22B5m84QEqa4ZY8ry13P7mr6LKHuf/19uRSuZOSsUN88qGshOSGEEzcW1FQeTTiNycEctV1iPLSDgyRQZ0MGVlkqWlMi/6x1d9PecN8AcrPOtbbwFsquqRT93Kge/c3fH95R96DQc+8yOSapMNn3oz2z78XeYfss7Jxg9dTv+GYQr9Rdw0LZPVHWcOS6ZUs/XqOhZo2U7P219o4AhNM3GoplGA2MjcmLY4H51GVmV+vDiReSQsmx+ZwXz4/iLbFHF7qkKlx88+V3Ci3HHM1l/JsWmRauTnhEg2yqgJdx7krn+4lfFNYyy+ZA09F21EdHWTJAYdJqiiy+zd2+nqVxz84YPMbB6ntKiHta8+mfs/+guU73D5z97W4ZS0ohnCKvxmje8890v/sx5y0YkR0slPmj28WEvm7t/Bo+//RsfnyysGWP7C46huPsBpv72WwYUuShxZYO2P9HHB+8/kVd40zMzyv173ON/93Zt43T9PM3T2KcyEJevtBIXcO5NS57Zcub9m69QaHjqyOUORtnqUjqa3u46nEugq4r3vlRR+fC9Sx8zfu43t/3ANuz6uKI9UrIXzgo3svcV6RrEqkKSeW+/qXha871LrGQKL3/Icpu/6D25+57UsunAla686kYENI1Rca13FJs19aEWo7T3y0hxMQUW40holkZFERqbhasuC00hs2P5oVIG2s4xg07e3sOXabR3v7bl5N6MvGyJKHNRJJ7D8vSU2/8lX8/cf/3SL7Wjqvr1M/Og+ZMFlwUvOoudZJ1D3BjCRwER0oBvLxYD23stRyvQTJWk+WbUQj66T4EpNnEi2jQ/mdcMm9aSFMESxohG4hKGTgy3CvMa6xQBmedA7iefBhrUTIwkia6h4bkyXF1B0IxyhCbUiiB3qkUczcvKF6iidK3mwIEKKVqkcuvcAuz7wRQC6zl7Huj96Do0DsyRLltv7nram67vifIyBQ//ydbxFA6z9+JvxZg9xKK2Si4vdVENrtGb5qYq0YEBHaErOb077xUUF63HFWmFSYxLIjcUkgR3/9jN2f/v+ju8teMmZEMc4RZfFV56JLKr8OTrKboKOMIycs4zVzxrBlzH7btvNj9/7C776+ht5+WcvomsAm4NMPa0sMmZLWCRxOkeMsfzqWouOTdp3Yip+QMUNGblgkAWjL2H/HfupTQVM3vgwEz97GKevgtNdZPjyUwn2TxHXAtwun55CA9+1G7l+/hJ4/pI8GrPmtaey5T/v4c43fomBM5az4o3n4nV5Nlcq7HqfCkptUbPW5uzKhIobUnGDNs+6ZcgDFFSWV5V5OZIjE9AQTc7xwOfu6SDxCSaqTD8+hb98BG0Eg69/AbVZzdxPW4jtnX9p9wB3QTc7/v1m5h/aS2X9YvrPXEH3masRrsCQEOo28GQeRrah3TBRyNS4ddNOcxaEZdd2blRknnEeTSHHEUWJm+OFEi3zZ+YoG1bOvGKwOKHD05aNwCVJHAytctpEdJIsJVoQJgolLNo7w7nUY9caGKnytwZUwt1/+3N2/nALCDj+Dy+mfNpampGDO9SDl0YDHalZsK6fQSbY/IkbWfe6kznpHWfwqw/b/XTB2cuI20LqjtAdpaeeTFDxkXrvaPK0FLI2tgECkJ88e3jj17asshW/fRbDZy1m+KQhRorzuGJ5XqwO4IuIBPv9euLlyn087mJuPGb3ZqvUvviuB7j8bxyKF58OwGhljoKKqMce1chDp555LfRwnYTYSzCODWmVSwGNwKPg2aYM07UiYeggBPS/6Gy6i01Krz0R9+Be9vxyL5uvfoC5m3YwNRbR3DvNqj9/Gb0nL0WlAIQMSd3jpHmuNV1cfM1b2fute9h34zZu/J3vcfJfv4CRC9ekdYE6tc6yMqRWjZwjE3zijtA1QJCGmx2h7ORMvezYKBwSAuMQG8Vt/3gXm7/dIlTPZNdnbySpNRm54lQOfeVWpu7YdsRnAKTvMvGj+3B6ioy+7kK8Z51LYqyFrRORsgulQDmlaVbTkLWjUa4tAyr4UU5Cn3WbygAVUaxsjj+SCGUIq55t6ebZ3HDQ9NCJoNLV7AgzZputBY0ZjExoRi7NwKW70sBTCXEiqTZ9ayCkiMkwcjjY8HP2sEbTsy1BRQsZ7TpJXgefhdjbrepoe4uBa/6OR7nrVZsxsWbNP7yO0vqlJKl3ny3+uR6X2AHvwQe4969tLvWED15OudfBVWErvSMTunMjTXasm2e6HGjakHWYKuRYy3weayOIZqq5Mi4t62f4JWfQe8ZqdG+frYtPDSSIcg9PHaaoqrFPrCQ7751Bx4aZ3VW+etUNvOzLL0D3dBGmxl/FC6hHHomU1AIvNxijWHUYbUppCl5E2Qstl3OWi102xIKFS+hJFMNXXUDj0d1UH9jB/m/cwcSP7qO2zV7r2f/5Gsp+a/1mku1Rx7/1bAbPWcmO7z3E3use5NAvt3LOf1yF01ekHqW5UgR+Wv2QGS9ZtKnkRLkyztDSsVG5MQ5pzbZIabpSrIMi5prXfptw7kgykwf+6Fus+rPfQjiKvV+7neo9W4/4DEA8U2P2pgeorF/Eync/j66VAzkWJcvTQgqoTA1Hqayj4Ln2PmbRiHZWLT8FbGoj8vsthMFNvWKAKHHTtQaYtKJBdBInZsaUI2yaKks9uTLJyyG1FoSR0zLutU0zZaBLIQxaWxY/mSikY5vfZKBAIQwuqXcvYqY3p921DDz2zz8Hfg7Axms+gBAS30kYKNUoqJhupXF8RUHF3PWhn7HjR9vxB8uc8MfPBeg0sjC5UVZUoW1f+BTkaSlkR2qUSvLwZWYBhYli/QdfDEbjuTBUrNLjNvDlVA7UyAYK5Mo4NoqGtt6gL2OqcYFkwVB+vv5Rn2v//B5e/o+CkfNO5mC9i14fKk6QWyQlx0LXw9jJaRRta7SEklcjTBT7dg7azjyFmEq33Rx7/QYlJ6I+uhAuXc+iky5g17v/hfqjdmMuLh1IJ59g0G90IAKzH6ffZe3L1iHCgM3fmGXn1Xcz9Oy11qpPyENMJSeyCNLDHooUGpUuwsybhhZAK71NeDJGYZiJimgEU48dWTpzyrvO5r5P3MHer97OzJ3baeydZPTC1dBVof95JxPMBJRFlSCUeOtX0YxcHNcQG5d6VXWg1bNmGEYLdKhsS03XKq+o6RALW17UxLXUwxmAyrRqTXUi0YFjyTh8jVsK8bzYekilwBJ8xAohrIJsVr38PFJZxe86ST535muFvG5QpM+hqCKaoUuz4ZE0FVnTcWNETvYuXKuMPTfOQ25xGhbPNgLPi1n08jNY9uL1TN2yhXhqjm3/Ycu94ke30nfaIMYI6pGXK6SB0xYz/uP7ufevr8cfKHHmJ17OwLIK2jTz554ZX1IYmombouF/czzkQNucf6QltNWHZ8rU7y9zwQ1/gJACTSuULUUrByfScG47QDCjXwy1ouKGVCOfnrPWwJfux2hDfbLJN155HS+97tWUXJED/jKAT8GJmAsKObAro5FVjmagq0Z/od46H4K50KceefgqpttvIssG5/wBOH+AgcUFHvzHmwDoWTfMglGfgmoeWc8vTL4+e9ePsDRMmH1wH/X9c0zd/BhDl59GknI9F1Olm12vxNDvN3I6y3bR6XfsfVb5PXZlghJJzralq42jKuNT/vYy7vvAD9j8/qtxesu4PSUWXLqR7vWLKK0dJYoh3DtJZdUgleV96DBGetbAdkRiealTZZXlXLuckIobEhtJNbJgvuzayl6Yh42zsWaRvywUnGiZ8wfY87RKIYPEIYisI5IpYDcNVxfSfTJT9tn9iLQ1WLoLTZsikSY3qo2xaz4rdYJWdM96xK39VacRmkRLYk8y4Ee88uuXM7Z1nr0PzfL41x5gfrsFaMYTs5RHuhgo1RgqVC3Xg0wYOXWY+75gwX6LX7ie0/702bjS4MigIyWZzR+ZEjPNmyNTEUeTp6eQhcZXkbU6MmWsHeI0l+LJhJITMOrP5tZwU7fozkoyJDKKhvZykvMMaRxox8L3Hcm77ngpu27agwkDrvnLTXz7vXfTteBBzv3LZ6FPWcuhZoWSE6ETYSdLOpnKaZF+5tHGKRqza7iaA42cFIQwXq8w37D5hLDhQqnAyPtey/RXf0h59TClJX1U/CYFFVNxA4wxHLr3ADf94fUkob3Z5ZEywUyTOO1xO7N5nPjx3XSvW5gbDDq1djNrOUNG+2k4Iyt7kpj8NbBK2ZMxrkiYiws0U9CXFIbVL9+A07OD0tI+tn3tfgDu+0SrfVhj9wSn/+mzWXTJcVQjj0bsUg18eop1CipmPtLMTRUImtYqdQsxcaBI6q7tgBJbVHres9VP2grobU4nDtMypUTk3U58P8Jzkzz3Exdknuv1XItIDWOV5nLTCEnVx8y7uDPK0qMva+D5VmnNzJasQZB62qQeuk67js0bQRJbwnnhaKSrcdwkp8rLWq5loao4UYShYwF/WBKAwZ5aXlpVKmsWXL6KLV+6C6EEJjHs+fqdnPymE0lQuScAoJ61kF1DZbpWL+Dkv7gUr+wCrY0nzwUmDt1usxV2PAyA8kyWrP63Ebm4vkzTRaqj3pR0ebcDZbJQa7sCL6goB/zEQuYeRPbdnhMWcvrn3oCYn2Pzp3/J3OZxvn7hl1h2wSLO/9NzEX3d1ptOS6G8OCGInLTlncFxdJrbtGU3FSfAVzHTYQknTR10pTSy0GqYsOFlqxCzs+y4YTsnv2EDPV6jw1vVYYNHv/Ywd336Afs9V1IcrlDb26rT3fn9Rxi5cC0D/TZVkXlIoVZ4KqGURkwycVO+AGgzvjmy/CdTSPXYI1aC5S8/iWC6QWO8lhN43PeBFvuVt6CL9R98MZWRcofhlKzrSwFUCq1cksTukZnyDGIn53rISpumgmKev8/qf7v9Jl1e0MqPIig5UV71EWPTcuVUqTqy1UHKawNahcJJiXIUUgiKbiuakRk+xgiCyOnwxnMwL+ClVKKu1BScKK9XzsiEgI7yLEIQCgpuZCMTUtvUIIbuFf2sXT7I5i+2orzqlls5/m2n5h6uKzQN7bLoso3sv+cQa952Hse/Yj3dbhMpdG5wg42ENRPHpiZSQpBDQdevW27A00ZZ6w6gin3NoKXIKRq73WbrhhhJbLLCc2uNRUexFCyMXxMYOxzf81hx6UrC2SZdQ5uZPxQwPx5w/Tt/yvP/JaZ0+vq8PCrbbI0Bx0mIE1se0QhdZDrGomfDq0rovKatFnh5PsErRgigcMpSlp73BhyVIIUNk8RS0ggVP3/Tt5nd2lneUjtYw+vxoa3p/M/f+l1e+M1X4Y32I01rM3LzcEanMj7aAwi0gydjSipiMix1KGOA4eeup+vCk6hPNtl70w6CA62c0qrL13L6+87DOB7amByh7qfEKrG0i9BxWqElJQ1JlJLfa1A1CXVJUtSYUoKJBEmzgeryc8/ZftngFlrgtVaLRoMSCa7T2mAK6WJvGDcvd6jVfXSgkJEgKaa9cGNBJC2rjo5SZRwJW8pmBDqlv3T8VpG/kQLXjVvWLxLl2i5ijkpSbmyNUZA4WVjOesZlL8hrJx2pScKEsdt3oYoucTUkbsQceGiK7nULcwXjCE2pS/H87/w2kWlhKrLnIzGEppVDywAkWa36b4oM+sOAVQxoldeDt9ee59csWntClsePU0BP5q1KbKlQqBUOLQ8SSDfGPrTpZ81bEu553/cB2HXzPnbd/C1ed9vr8KSTA3FqyqajoljleWnPiTv2pSzlc/iYM6BNQVoj4dS3ncTJbz0l/WRClNb118fm+PYVrf7EADpKe3W2ydy2SW644nO86va35uduGSM2TZLdi6KKUmNAExtLhmG/o5Ei9ZjbarEtMEwQu0VW/95FSGEYu2U7s48exERpOH5hH6OvPp+hS07AUQleagDkCj5ljDIm5XQ2tpbZbcsXF1Ml6qmE+dC3566D0AGq4FP2m3R7NjLZDkCNtUSmXebaU4mO1G2ofNrIi6xDFKb81Bloqz2ll9UeZ8ZfllrK6C+Dtr1dtjGlZWAx6ab8F6m32h6hddMSJ0fotOuVPc7Mtilq+1tG1tbvPspZ7zgxd5SkMERxge5zjuP8a9bhOoaCqtlwuhG080C0oqgyraJpXd+vk6elkAe9KtIt5K55pFWOGux1G0g0rkioJ16OKpbChiQAJkNLJl52AmxWxE5EbSSBdg6bjIqgUOG3rn0N0w/u59q3/BiAvfdOMHSiLa4fLlXp9+vUvSAHlzUgL5txHYv2BQu/D42TL5QFlWp6HknZDfNNObuZ2Q30VMK9H7k5V8anvu9Z3PvRXyIcSddohfl9R1JLTm3az+qlZfq9Gq7U1hg5LGzf7k3YN+yvQDv5hK8nLq7QKMdSS1Zjn2bsMB9Zcg1dKbDwilPZ+RlbRrPh715K35krORgaBlSdihPQ59nShkYoObB5HrlsBLAN1HPWpZ4qRS9ifHwAZ8owfu23qO/fTunMDQRbdtN89HEAFv/V6+k6eXnOOZvsP8SBb93B1O3bwZGMvOG5jDx3HWDTGPWGj1KarmLTWsTpAk20IAxdkqaDUAZTSTDK5D2jkzBdqLFAeBojBWrOwUhjCTzKMXFoAWVJivYWQrXatGXMW2n4OghdYmWBZkYLXDehp9Sky29SShGZjtAEieS+D9/I7OMT6JQUorRiAXrZCuYCUm/felqxkUhpKIkoZ0jLwlSqLdwGKYECgoKK6PGfmIr0mSa7qxY1HScKkdi17qd5vXbQEtCh6LIwfcm3TFNxCmwEyybnyST3Jto9OVtOKeg7fQWX3vhOtn/iJzz+3ccACGcayD4fT2rKTpAyvLn5ms0UQZQopGeP1+00mY8L+XoOta1pBpu/rZSC3HkAuw9lXlPcjHNlPHzuMrSB8dt3ITyHWhuLVbuYOMZ1U+S11PkmneWKIQV7pqVN9r5l6b8WihxabRIdoXO+epS9z4PnrKS8bCBnfTvtP14Hro8QSR65iLUkNIpktopq1Ole0svBWhfNNOrhuXHeDa7ihjR2jnPfv9yGTgzl9YvZd80m4nmberjil79HyQmJtWKiXuTATdsYu+4+mlv34y3oZsNHr6QyWMoZvBqhSxA7Od6i7IW549SMXRqRkytjN+Wsno8sH0GkZQ7IUik4FKxB35OmPqpplU0cKybrHhMZDaa0LW+rjpdXbui0oU+iJeVCSJdokaBgwBGCYLLKz9/5Q7pWDOQh6/M+eAFJGtG00V6Tz9kuP6LkRAx6NXu9uuUwtYPi7FyPaSQeQfJ/IGRt8kVkUZJZSLWoIlSbxWvBSnYARRl35JEdmVjwklYk2M+G6f+OTJBZziS1MADKJyxh4Hjrca57w2nsTxwWlubp8RokRlA1PiUnYqpZzB/eYMnerFrkMTFXsaQRsaRQDCl4McPl+fzGDXi13GKtxR6xVnlD7lgrjnvhcvrKESJJuPejv7T3ItbM7bYL80VffQn1bWM89v3tDB/fw7Ne2EVP5WAeri/I1ChIwRuRUQSpcZBJlquyi7CVv5qNinnoO0xUHmaKY4ESEWuvOpGll63jzt/5KmM3bmbgzBV5yN4j4p6fTFPqdtj5nQfYe6OlOjzhi+8k8XtQTkKpGFqmGpngDc2y/cP/RnzAAh1mv9/ZeLzruAUs6p2loGImt05z+1u+2vF+sG0fwYUbc9CFTiSlYkBvsUE98qgGXtoAAnw/tjSUiUQ5mlIhtAAd3WLeSlwbdtZIdCmByLZTVAc921vYMbbhewzayZpDQFJOEH6CdGwHKCmNzR85CcoxdBebFNpYhSSGJIjZ9Pc3sveGbZzygeew5eubqG2z5Q3i4AFKywdsKDQtb5Hp/C+qqGN+50alsn8ntGrJpdAgO9vdPZMlm52+G+E5LbwIkBMqtBuxkIbqHeh2Gx0dh7IQvkxBRNJ0KnJIWeJyshbBuleu4/HvPsaz3n0ihcEyrgjScskwv8+ZZ1ZybH1pVrLjSFtqmBkO3WmHpIoTorFrKSPayYwp3ba/Ja7Pib9/NkQRO3+yg7nt1jgxoX1+fav7uOCfXsCjX3mA6p5Zll60HOUqNDYaqITBl2HuXdViP93rVKch3iZaZ4x/ne8VVESP2yDQDnMNB43L6Z95LdN37eCB93+XxqN7WHD6EoLYIdKK5kzA7lv20Lt6gNve8jUABs5cxoa/eznGt8cuumGO+J55+CDXv+Xa/HwT97UY5UojFSpuQJg4zIQFtn3uNsa+2aLTbe6eYHJPSLMwgBDG1hVHDjqxUaqMTARaIWRPJVT8kMFiDUfqnM2rFno00o5OQni5AY2AppNQ8sKcK7uraL31ZpimLDOiGNFqMhPFKj9n0Y86apBjLXGkZnLbLHf88Q9ASo57/wu5+21fBuDgpgkWnLQQVVZo02rU0+0GjBTmKKqQkgqZjYvI9Lm2e8jZ/qAwxBydjexo8rQUskpLddy2UJCb1hRnHnMG2MpqZgfdKgmC6ahsGZfQaCRBWt4TakuLBy3axvZQXz12EUlCdazO+t9aTeSV8cOYmbDARLOEMbYcquhGubWb/R6vVZiarEDT5ifdbrsoo1hxoNpN2Qvo9gLGg0rOCKQRbRRw1sLpVTVu+PqRyMW1V6zmxFcdx+J1PpWNwzz7t1pk45ER9DtW0VeTAvNJIX8vM0ga2s1DIhkNZpZPz2oPq5GXh/8cqYkSxfzmAzz0nqsxicbxHZyKT3O8yvCFa2lWIx7/2PU09kximgHNsSM9soff8K+s+sPn033RiUilcgUe3vIr4gPj9Lz0EkgMs9//acf3tr33cyz+XxfQvWEBMfa4C593PAdusF5M5cLTqVYLSKVx3YRKpY7vxkzWyzRThHvBi1I2L0OhEtFXaNDtNqnGPjNBIX/2s80iU+Ndtg1aKFFNgWoKhMb+xCBjgZH2/8RPm7+7GuHo3FruKTfyPFTWJSfzisPQcO8XNjH38H6S6Srzu6Y5/UOXEkzVqG2zRsnELVtJxqZ4+dUvytHSQeLgqxhfRGnpmsq5t9vXQctDbkPS89RCV88EWVwZAMhzwu0I6fY6WrBrNUwsArXiBLamPGVFymhes7ytPaZODU3VhrVoC38LTZS2djztkj5qQjMdlvLjtUKhMaFwqCZezongiJZ3WlRh2/icPHRe8CLbBQ3rjbppaNlrI+Z5aN8Ej363c92XRrtYdcU61r38OLyKx7l/dAY6Rc+3X5+XOiJKGOqJy2xUzA2FzPjOjIfs+lvlMkm+99g90x7zkS/dz92fuhfpSlTJJwlSgGBvD7vvGGPvf94CQUB93zS6GYNsKYHJO3ex+YP/xYbXW8DXZKNENfKItOBX/3wXABd++TX86n3XdvBY1w9WeeDDP+XZ7zsV6S+AaftMCiesoPnwDgrrVmCGllCrKduPPBEgwS1Gdq2nUaqMg2BBuZojzb302iQGz6S51qRCELqETadFJqIFofFoeh6uF1MqWE9ZCU3Bs8ZwxotQ9kO6CxZYGSQOtdBr4zWwn53YMc+uq+9EN0Km7t2DP9TNxg+/iEf+/L/y6374c/cyOOqx+orjWmsgfX5JW8i+FvvUEo+Cioi1JbKpxy4lx84vR1oM0P+RkLUSlpxCY9mSpDD0OI1UibTAW67UefjalxHTsQUZYKwynomKls8VkXvGkC4a7eTsXKFWVEOfsB4TzAZUCwMcrHVRckOi1FLPQoNhrGgYl4ofUHZDm6eSmoHBeYbK1RwZnqTNDhaVZulymmgjmArL4FjPeoE/n4fQncY8n7/wW/l1nfdHpzGwfoja/jlWX7KU3kIKIsOGZCIUBRnhywiFYSzqTq9LUU/cPNSf5RyksOE3V2rmokJe9pQZKKFWTDVLOZghg/2PPTiDiRKGXvUsCyZqNnCLisrJq9j84R8w86ttLLhgDcqTHBxrtZNrl23//GMG797Kug+8iPF79xMfmGTn/7Z9ffWBvbZjDradYuWM44mn5mg8todN//JLrvryJYxsdPjlUIn5Rw/Qc+JiZjftZccffppTvvwOKkPlI4AVWbOFld2TNo8mNAu8KpFRzMWWBKIZu8w1LHo2DFzbUclgexcXDUkF28QilIgEy0edCOKyZmjVJD0FW+sXa4mnLPl7ybHPaOLBMVwRsfzUfioqINSSr739Rg49OI7X7TF4XD/nvf9ShjYO8bVLvpbfp/JggbNfu4Jhf65liCrocepYf4hU+Urq2gMjc4xAlno4XEH/psjueesVZgDNlrLQtLf800bgIKg4rRCwxOZL83yjsfcqU3xZuUqmyNpBYJnU025TQ8OSQ05ALfHS8LdKCTXSsrd0rWffbVFN2j3KlzE6x2Ho3Hvx0shGMQWpgUWUP37jfr73hy0v8OU/fwN7btpJ17J+hk7oz/EArojSfHNbasIIHEixG3Y8s1ExH5dFiot0r7M83dk9lsrmZDMjJzNiAu3QTFx23WKBXGf9wenMTEMcG5xFQ8zvmmPXp64nmq4xcukGVF8Xs3dvRyiJ0S3n6eAtOzh4yw7O/LvnU1q/lJl7dhHVrIcMsP0b9xGlYWp/sMKiZ69g13WP8PD3d9J33CArX9bLiktXMfaTRyj2ejSB5qM7OPgPX2H4XW9ptTd1NRRTQKW2pVPdxWbuYWZGyVxYoBp51ELfGkUpK1ccS5vOEljsiLCcDMm8S+JYIJ/vxjlroO/EFIvWOPFVnAPIqjXN5C8fo7h+GZUFlse/umuK+978RQC8Bd30P3s9q992Pmb3Xur7Wlic5ecMs/K0Fs93FgmO0vXtiiQv6XKEJjSKeuwyH/lEicojNjZq4+bAvV8nTw/UhUYKCUbjpwugqV1cYYkask0nMYIEhSsSyjKgKgogoZoULOw9cfJ4vJ3Mrb8zurxMedZDFxwH6Uhqe2bob5v82Q1Raf2pg7Wa4pRdRklNKUODpse3fLFNhj1rBVYTH1/FJEbQp+oUVUQt9hm/ey8/+r3OfsvHv2A5xV4f55RuVFo/CBAYh1JK/pDlxGeTQhqqTIixObQsLxRqB0cm9KTKONI2d5WF0LLaQHu8loWZsdpo3yr6wukbGVrfQ9GL0HHC3W/6IsH+aYavPI91bzsLOTHBwZ9ahXz8m85g67cfIp5rFahP/HIrD37ge8zcs7PjOudvf5TRC1aw7E0bqE002fWT7SQHZ+kaLXPiK9YQaIduL+ZFn34u33jZNag2Crlw217KS1fkiMlm4tCM3Zw9x0k38pKyILuZqMRsVKQa+sw3fWq1FhOcKsYtqzuUthNEMUFX7OZpIolwNN19dZZ1T+eE9lNBMT/G1OPTPPr5u9lzk73GofX9nPCcIR784X4mts2x4fUncuG7NtgwKJJIN3E8QYBdlC//2OkUuty8htkVCSUZUpatjkE17ZMg0s3ePv8oJYZJkB3gHZ5iG7ZnhqThTSei5KY1tKkSzqI6KgUoZeH5UDspcUzLS22B2gykkYRW7tYaUA66LaydepkVm++dOhAwtGouT2NFRtJIvLQUJcIvxnn+N2PHCjXMpfnjzCiouE0qKsyVMpAfsxp7GGO49eP38/BXWo1XFl28ClnwWfGCNZSdkKKsWx6BjHc7dU6CNEeujcznd2JEnpPOSCKySFDWbjQjj8nHQnq/0o28CTQT14JYu0t0rRpg+MWnM6Atknf7HZNs/9Mv4/SWOP7Dr8Jbv4q9X/wF3L0db+kwhUX9zN78UMdT3fXjxxn7sx8f8bQn79/Hmpeuo2v1ENP372HfL7fhllz61/YzdPZSQq0YOmspCy9dx4HrWx2jmg9tIYkClCpgHI1TiTAGalUf6Wgq5YA+v0HFtZiWLA03Vutirl4gSis2slanytGo3mZeTomw7ItaWdyLTiRN7ebljY7SlFWrHGu6UeDAT7ew/ws/I560kbzSxpWUT13N+JduQLiKE/75t+k7fjDPudfHWqmk57//BC587WIaxmMyjOlx7P6WNfbw0+iHLyPKToBMNPvrg7ZOXrdy3lm6oh63nNVfJ09LIZdVgCetEo6NopFad9lmFiQOSer1lp2AUhousqg+6xlniyYjGcjozWJtw9PtFzXf9NFaMNBVY8E5Kzj0iy0setWZyNEyc80CWVP6ohflHmS3Z3mYq6GfKjEbhs4U9IquKXrdBtXEz3NGNmdrN9BDQReNmaBDGb/zzlfgeZlnq1PQjt10M8tp0K0iheZQ2N2BJLfNITxLd6lb4blM4Waec4akjrXl281yElGiqDZ8wpqHVwrRWhBs3glAMCOZmitSKSsmf/ogwf5pRt96CYNXnMlcLcKfj5G+A8agK+W8f3IuUhyhjM//6PNZeO5SDHZjKaiIta8+xdLjuXXm4gLTadlQbcIC4/pPWcL4LZaExD19I7UoxPGa9Ps1Djas8TBSmmdZaYqF3kzuTe5qDDAZlpkLLbVgM3Qtn3QiQGncYoyTEhKQhru7i9aCz593Wpq2v9ZNt9+k4oS5AZZouPHdPyKaruXXd+iRKQ490qJ4fO17hih7B3BFwsxYwOa75qiN23OccOEA/b0aV9RRGEoyyI3ApnZzzzhJqweiFJCXtHlNbtqNJ/teqI6sJX2myvKuHqDFYy0TQyk1TLLXY9Ni8AI6lG2ss/KnNK8AeZljtvZsqWRKHJK0kNraCNwT16D82/j+x3fxho9vTCNJVkmXnSBPiw04VWbjIpGRhFGB2aBgjae0FjYLo1dUSLENgdxIPKK0EiTSipv/4iZ23rAdgEs+fD6nv2AQT2lcsTc9l0455q1CQNjniyLnnm+X6aSUK+owjX7NBAUakWdbyDoWINgeIahFHrUIlPTp9oKcjnK2WWRy00GEFOza71Hpd0hiw+6Pfg+Ac65+K8JVNOfnkL0pdWt/H1HUOSZvuIexm48kDDr76rdQGLbfM0YgzjqNod9NqAY+3YUmVSeinzoLClV81+4jy99zGTv/6QeUTlpFcdgQNSOL7Wg6mETglGKKhYiFXXOs6z5IRQUcDLsJE4eCijhh4AAzXSUOVLvRRrCoa5Y1lUNIYTjQ7GFvrYda6OM5sS2lSu/TZL1MtenljYaSNOKg0DRjl7Ff7WP3x77XcX31B7dTf9A+2+EXncLQ+j4Kyqaw9M69HLyhRbR09nO70MLiWBZ483SpJkm6rhvaoyAjSipAG0lFWVzDSHGeg3QRJSrtTd+gogISbKqx7D417MjTUsi1xCdM/FzxAlRUgEYyF9kcaeYB2feazCQlJqMyM1GJuahAPXY7IO7ZRNRGMNMo5lD3uWoRx0lY3DeDIzUrf/8Sxl/3OR775xtZ/hdXMnuoGxEKUFAtW4Xc01djOihajzflSjVGUPQiBos1ur0mi4ozKDSBcYm0Da8niYtDQtGxNWqzPS2F+t5bX0RfqW432baNJ5HSPhgZUpL2xs8mxfy6YqNsNCDt6pTlrzJAkMRQUhGRtt8ba1Tybjbt7eNy2H/cQg4XT1zL/A23MvY3//uIZ3ToO3dw4As/x8SdntiWT9yU/z187jLO/4fns/Wbm3jgE7cDMPq849n/k8e49f3XUxqp4BRsucX89klOeMfZrLjqdKqRn+dRd1QHqA2UKAyWc2UsXEW336Tbs6QCE80KsZYs6ZqhywnyBholaXN0Umhbo+nZtmfN0MEUoxyZXfbCnGavFno5+GywUM8tz3rsMh0XCWNFUznMpXloVyVEiWLRK89g52da177i2YvZ8YsWK9d9P59h4eoiBx+Z5VsfeJAkbhktvWespN2jnYi7iIzKo0JgN+KM6jTnV07TNZ2o2RSYp5/Wkvu/KvsaE4A1EqWWaJmOP8WM6FSRZQZmBlzzUxxEtrazOZ+ViGT3oIMJC5OjrCFV9qUu1r/rAh786I3ccd0ijn9+Ja/CqKgUD2JsGU+sU654I5gPffssXCikncKykHR+vrQkqYV2Fiy+eFWukE9+wQieCnNFnCCItJufTxvR8mxTcGomvozTqpFWNK8FzGz1inZThqz2LmZgS7R8YrtPSmjG9lhdJyxi+vat3PfKfzniWd3x6n8nmq130O027noY4bbGNfqB19B16mp2vu+zBNttw5/y+adQu+U+7n33NwEojPYy94ClDl772XdSHPVz7ADYfPvwqSPs/MFj7PyXHwLgLuix4C3f9iLXVRdZjJGqZVzZJKagpKzxpbVg0KtRl5aqNGO0i4zKr6GgYurCI0oUsZIMFmo2wumEjLmV3MmK0woAAE/F9J44SmHlCM3tNhSveiuQaJJ5mwKZuP4B3LefTvXRA4z9chubv96KICw9ocLIYo95naCFxJcRrohJjJtHf7N5m6QRM1ckLCrO0Exc5iILMM7KXOO2JkFPRZ7W7nAw6KbguvmiUMIwk4an2kNU3U6THqdBoF32Bb3MRLaWdi70acauhcMLjRYmb7kVxg7VZop6lIaCH6WlA4KJWplpXWLo917OwY9dzdY//w6DF76IUs8owkBUVggD80oTRg79lbqd1E5CwY1YWJqn5FiLpt+x3tJ8YvCF9WxGvLncCnq8toC9t+1BKEFlQYHu7rQ2CFIl2toIbGi6yGxSpKndVogsVd5ZaD6LCNg8l7SF9FmzgcRnLm1TpqSGRFELvJwTWpuMA9pOdgB/7VoGf+81THyyE+UsXEXlzONwR4eQrqIwVMYTIY9/6L9wuouc9PGrmLl3F4tfuB4hIta+fB3z+6ts//aD7L/hMRZcvA5V9qnvnaH62D6ShvU09z48T/PAsKWnS9l1RnrmKA6WOOMrb2XfL3aSTFcprF/GRK0LI2opK1JAyYkYKczmXay6ZJNeVWOJN8lCd5otzYU8Nj9CNfAp+yGRm6RGSAsUpKSmr1gnq2ltJk7u+WSo1QU9tTzUn+d9ZMIFb+/nn74oiQPNq/5mPSdfMco/XjHF+E67OH/28UeY2FnvuI9e2cEpKNauEVTjAnXt5RusFMaCflB5W8wsBJopaW0cZlJa1I5WeUYQNn9zPORsE2nGLjrlAq5gx6+jDAOR8XS3UiwWHzDPqExyryIz4rMQbmbcxsauh0x5Z7zvGUis/9KTGblrD9d94C4O7Wqy7srj8SueNeQwzCVFDgQ9zEeFPC+bUXYOFG3pXxZe91VMKVWyWRTLAlIlU3WR02ee/86N+DImMTIv4czWdd7RTRhc02oak1EDS6wxYqNi1ptvb2igjci7GAWJNSCzvu1ZiY+jNKGr8trpMLHpruG3X4634h7Grm510wMoLulj6KLj8Pq7UI7N/04+PMHeL/+Sviufh79kEGkinDUbiXa6DL3s9Ry8+j+J9u2ndst99F15CeGOvSTT87kyBkhmawSDA+yu9qNjSaEUUikEcPZC1n/hRGZ+tZXYuBRP30Cz7ll2PT9GFiL6K3UqqYfvqYTxoEJVeYz6s2zo3s9cXGB/oxeNoN+v5wp/0/SoLVFyQzyVMFis5TiDzBjs8RpkBCIF1WK+y8B1gwVD5d1ncMu7r8XtKXD2PzwflOKXb7a9Fkyiuf7Sf+u4h72DDjMTMevPtgQeJRnSq+q4ImEqrhBolyBVykfj0+hx6qwoT9BIPMqp8zEdl3In5P+IQp4KSkhVyDcmR2gKjgVHdDlBrpSnonI+iTNPCMg3V0j7eBqLWA3bWnRpI4giQXelScUP2DPZR1j3MJHA37iR3hc9n5kf/YQ9D36M5S98E5W1J+DOCRIfwgUuupAyuKiE3hTkk43LlzGHom4kmh6nkVs3GSjtwHyRX3z4V2z+/laGNwzw/D/ZYMPSaRI/MopqYvM/kVEputYuwvGwkiPGs80lexCt5L6TWngBRRUyFxXSWreWBdpfrOfhdrBlJmHNQ1QVuikRsSCZPsT0164DIRh5+2XQN2j7UR+/DpF4kNLgoiEoRIjCdcRzDXZ88Xa6T1xKiMt4w2Hsus1UZxO6zlpLeGAG55xz8I5bg58IzOevoXb/A+j5Gv7pZxJPF0Cm5B0CJpRlRip5IYWzTiIIHKQXU/AiGqGLX4w78uAZGvlA1MsDtSW4UnNqeScr/HEio3jw4EJm5iqU+xrg0IaMTHAxJEbSTDtGZdJdaKZ5Tc1Us0jFDSk50OU26XUb+MJ279rw0lXc/7XH2b9gHc25YVa+4BClu/czvnXuCGU8emI/C4/v4pRXrmIyKlvAH+QeVlFEREYx0azkykchkMYwnxSOylWdgfm0ETTCpwbueCZIkuZ0j2iZF9tr7PUaLbCKJM+TZjl0nxgpEgpOjUTZNIUrkjzMn1VoSGFQ2HDwVFSmkbgcalTyutal776MuPpf/OrTm3jw24/z0m+8hMmeSh5Cnk+jc6W0FKXuWkWYjSdKPbJSSsqRmFbfXY1kaus03/+j25neXeWMVyzhoteOIlOWwSzCZa+99ewckdCglRt0SFKgq/WW56NCTkzR79fyErCSEzEX2ihjNXIJQictyUxbgQqDUAbHS1Jq2ZRWM1ZM33I/Y9+4BX+kh/P+4lk052MY6KW0eoQoUbmzk2iJnLee/twPf0nvWaspnncKBJJkfp7ZX92Kt2IUWXEQSjD8ktPxKmcRTc7z+Hs+j/BdW941uoig6aLnXUQoCcZ9Gr0FVDFGFEuUn9OqKnGd0CLXXYsV6fGaObAp1Ir99W6iRLHL7WekOIcrNAsK82yeHWI+KKTNKlpo+0grvHTNFdpq3z2ZMOzNMehVc2UnhckrU7JGPYXjXDYtquAUFBtOVJAk7DxrGKkEu247eMRcX3NKhaUnVDj3t5fbDnJoQuMwHncxHZXzUl5tBNWkkPdgyMbQ7TSpKJtGqSa2xG2s2W07pCWKRD81Q/xpKeTJehlMCzDjSE3JDfGdmLnQbkaxllTckMBtEQFkdYiN2M3zwxmTShBbbtMkkYSBY3OIwlDqD22heNPBRAIR2fBN3yXPpe/8izj46c+w84efhx/CyPoLWXT25dTrisD3mHMSil6Uc6pmOcXYSIoqpKIifN1k7PF5GwoaKUJPmR/93Sa2Xr+Tc95zBqe/ZiVdTggYIu1QNypfnBmwJCtryCYD0BHWzusr06Ly9rKIjFDebWNvaoQus0khZaSxnNxB6EBTIUPL1ysDwewNN4LWLP7Yu3BHhtBVFxFI5KzAnU83zhJo35C4DsN/8g5qt9xKY89Bpn5xPWM/2oS/oIuZ27fgDvUQHbLowvHPfB9/4SKCvXuIp6cRroPq66ZwwnEYbSxXdCwwjrG0hcaQTNYZHI45pHtyphzPjfBkYmkSjaSm/NzDbK8790XEQm+GQXeega4aB8OWR5w1HM9C9kHa7QdsZMYY6PWbLPDnmU/LChypqUaWLYgSOMKjFvusfseFPHzdbu75259zydVXcf7vHI//9lV84rk/AsDvdll14SKOf85C1j17CCEFY0E3U6HbapepFb1u3aLCw3IOzJNG2EhPGjZtRwpnXlFGWhMlikbzN6cOeXHJbrjtvWybcat7VlO5aameycN5WevRKC5QTXxr9GaEL6mBrjD56zkiPT1H0oYFqcd2HnT1Q/8//hZ6z0F+8vpv8ZWLv4bb5XHBRy5hyem2I1WWKsvSBtC5Fj0ZEyQOM3Oauf01DIL+1b0EjZivv+UXVPo93vWNs1mxoUxdS6qxyhWwPszIsmFL2cFbnPEqKGPS/c7J69T7vVq+cdfjlK43dvI62SRWJJG0aSnb4owYCJRdD0IY4kbC+Fd/Rte5J7Dxjy+iuy+mYgTTQZFGLPJ9tRG51BsezsYTWPwHVzB/x2PM3b2NiR/dR+XZZ9B85HHiiVmc7hLxbA0E7P3Ql5ClAnP3bAclIdH0XH4BiS5iMr5wT2M8wAjiagxhQNeoQ9FLW056Ye7VNhOHQqpMm2lv5PFahUbg4jkJzdihv9BguDBHxQ1tr/Smh5SGvnI9T+lFWhEnNkXQ5QZ5JDabM5kRp5EoDDo1jh2RUB7yuOKjZ/OVV/+Uh77yEKe9eQOv+syzqI7V+PSldt0PLPS47I0LWH9eHwOre3PiqFqKDwq0y2xcZC4u5Hu8r+KcphPIS1crKrCNj7SNqNRiPze8GpGLo58amPNpKeSJyS7cblsL5nsRIJlJyTiyBvOJluiiYDYo4Crbbiwb2HStZE+awtKNEZY+MZKYxCJmyz0NuotNpmslW1sWKduMPBGWm1iAY1x6X/wiGp/4BAAHH7mJnnWnIpuL0VWHeYoEZQdHJRQ8C48PIkXz53ey95oHUBIOPjLTcW1u0SFqxCy9eDlnvHYVvoyZS4EijcTLQ6OZ1Q12oc7FtlSrHrco4+x7IqeZy0quso064z3tcRvMRwX2zPdycKw39WythazcBK0FjdkCqiaRUcpcNR8QPPg4xQVLkL2j+I+6eLOAgOKEpcjrfrzKzPFdGAVhxSHqWkbP+cswEmY338fsr25l5vYtqJ5uFr/3A4RTYzS2biU5MElj+3YKi5ZRq1bBcSisPw7paYS0RBvKsd10lDRs/9vvMHvbY1RWL+CET7yBWlS0FJkqyUsAmpHLgWo3XX4TTybsnetBCAgjxVZ/gPX9YywqznDO0E4me0s8Nj1sy94QdLlB3jv2uJ5DdDs2f715fphq5LGqPM5UVGZftYepeoneUoMu17bcA2sIDRfmkQXN4MouDjwwwQLXPve69njBP5zPPZ9/mHPefSoDK21+eE/g55zJWc1r5gnvrA3YcLm04fIsFRGm5PcZSjhKFPXII4gVWkvrBaV1kkm1hc5+psveuq3FTtI8/nzidxjUkVYt3mJhFU7We7aoIjDQMG5ugGUh7rIK8hrgzPvMwrxAGm1rELjW+G0mLhPNEjP9qxl8wSmMX3cv0XzIL/7qFs776htRTosdabBQy49dlBHhXINb/mUTBx8cp9zvsefuiY5rdHybznjD363hxBMVda3z8GSGAWkk1jBz0goOiSHEliK19zP2ZYwW9r6UnIDVpXEqqkk1KeSlj/XYpRb6NCKHMHSIGi4mlIhE2FI+YX90LAnSjmsYQfD4NnQ9oLD6JPaNL6LKPI7SzNcLYKBSsi1S6w2PcLoAWlA8/3T6Lj6JsKEZ+/KN1O9+hHh8htWvOokzfu8Utt8xwdSWSaYem6BxYJ7ySSuoPbQLNdCDv2YVJk7Z/AqZMhEkM/PsffffAnDi75/NGW9c1WFotzsd1chjPvJphCk7mJNQnS8wP1Vip6MpdQUsqFQZKlcJC4rpRolq4OcYmgxPs6g8y1DKcGdTUTH7m33MxQVCrVhUnGXAq6aAwjiPfA4vsfvFg/+1nRe9YwmuSOhZXucVf7iYmbGAV3xgDVo5zOsCu4JSbhTWtcdEUEl5MLy89h6skZelRzLQcjbfJqIK1cRnOiwx0SzTTB1QS5T01FTt02su4dl+yEHDJWi4eVMBIQyua8neHWWRbkpq4tgir8PYoRk7xInsYIGNYkXSsIg8oQwjC2Zza9uYVheX/DvpZE2KhsLKZRRWraS5zYZmNn/nn1i49g9xF4xAqAgFaN/ma8amSuz5qy9SfWQvKy5ekoY9Z+hb08/pf3weB2/fw7YfPE7UiNl78y7GNq+jOFIhLhbzhWjrB1UekgZyQEZsLEE7cEQnlKzllzECZKtRfawVj88tYLZZtO3kIoHQAqMMoIm1Q9xwkXMORoB2DLU77mLiR9eiw5CBE89l4HaXBXdNg9aIIAatibftQAPd94AslZBLFxH3loi7XBqDDsPVjZgNG4mXzKKUi/szTdi9kMaCRQSrwTwbom7Y+qfvgSiidutdrPmD85Fla3hVGz7VapEkkkShvQ/VreM8/KHrOO5dF+LuPUBpUQ/1ygKqgU8zdIgTxVS1ZLtHpT1QjZYETY9NyUKmuku5Ej17aGdOKnGw2Y2nrJfx4r57WenOUNeKb4vTeWhulJmoZL0urSj7lnHMkZrR4kxeqhBpRRAaJrfN4vUUmIq6CLCEHoMnDnPJP4/QSDz2NzwmmtZgLDhxDgaqxx712G7O5ZTdSBuRk+9nYbYMJW6Mrb2OmjbaYxJ7j4Rj6ylN9JsTsm6m5Rq2AYE1LtoliJy8GQGq1X4uqxgoqzAHe6FosWwhc4+jvQTJTynXgtTAtcdy2F/tZq5aJKq7+M+7HK6zvX7j8Vnu/rMfsvGvL6cal4liRdirGCpaQp7pLQe59nd/DkKw6pKlzO6YAeCkK1ez8JzF7Ln9IA9/w5La3PD1SVi2CAb6GE/6cuPq8C5v2eacNceIjQTt0OW2OkT1unX63DoVZUFKh8IuJsIKYeot2r7OlpUOkwLQNWCsUhYGux/UJSZKGL/6a9Tu34Q/tJCegeNIZh1mTJet021YpTk3IFotCIsxJp2DGHC8hJP+4Bx6vZNIDk7Qs7iLmi7Axg2U1jlwqUcSKWoP7KT2wL+TTM5y6J++wNLPfcSOzwUwSDehMNhySB7+7J30+CErLl3J4w+H6OOOQyiJqxIaoZtHtGanyrYpTSIQiXWuRNMlOOCzo6+MLKZljInAK0ckboxSmt5Cg+N7x7igZwtdssF99eXUtcdk1MX+Zg9TTQsC7nEbdKsGBRkx6MynJD2aqYMWL3T68/rod6p0SdsI4iW/O0pde8wkJeqRb5Hfable1s8abE/m2EiKbWWzFVcyl/Y7pwCryuNoJHubfTacnZa1TdVLBKkhkiQSXW8RQz2ZPC2FnETKttRL6cxMYlB+kk8ER2kcldgHkTaJBpsHDULHKlgsLV5WYyb9hGIpZKBib16WS44ix/bTjQUitL912WC6I0un1lT0nvdsDqYKGWDsnz/NyPt/D3flIMqzTa+lNBSn91B9ZC8r3/MC+p97MkHssOQDAQUnwnci1p0wCoUCD37qDnRs+MZVNqRx6TVvQvWUbJeiRFnWrMQhSmxdaZzIvNl9M3RyjucsxNfe67fshbjCUI08DlS784bbvhdbJeWkNZrp8UwiEfMO7qwk8WH+sU0c+u436Vq2jqUnX4Y3NAIa6ku7ELHBaSa4Y1WcZUsIlw0SlxxUpPHGqjiTVZwZib9XkDy6xT6r1SuJRoo0hh0aA5JmP9QXJ8jeENePWfSO57Pv07ZWcfsnfsLAO66ykYxQIRsSHEPPpS+kfs9jYAzVOx7lnjtatYmL/uhliKFFJJGAKYMOAopLV2IGAUdbr8AxzIZlqtUiXV0NeguNnIVJCsOCwjxD3jw9qsEDjWX8ePZESjJkMipzqF5h33wPXX6TXr9BxQ3pcpuUlW2Dtr/ZSyNxKaqIuz67iagRc+6HnkUxbXLRzo6mZUxTuPlzq6Xh8YobMh0UkRj6fIsEnQkL1COPMFbpvG6BNpJY2nukJSZMm1gYwE/smkGA85vTXGKhb1uhNgIHR3XWUiZagAuNyMsjXrGQOMaSP/S4jTRna8mA8r6/wmAZCwRaWDKIamxTCzNhkemgSBA51EPPGuwpSQSBRAQSV3dT2ngC9QdtrXDt7i08+GffZcWHXk0UeewaG6B3aRNQPHr9AYSSPO+rV+L0Veh2m8yEReZCn93zXeilgsIdn6K56xDbbj7Ip28+iNNbYs0X3oejLG932QtzcFVGjJJFTgBkGs7OcukSQynlz98X9OUeUxZBaw93KqXRSqNV2ic4AqElMrSpKacJ+777FWqPbmLovOfT8+xnQ8FFJGnqSNoORqIcUSqGrQ5JyiBkQrEc0ltq2FpnlSCkYL5/KftnfGbni8TTBWRT0veQIKpAobCOsbYGxc27tlA6fxVCGoqlkJHuOVZ0TdH/uxu4/VMPkYSaX/7jvfzyH62B5K0cpe8Vl6LKgzDXxIQhUvoMJP2UxjVxUVBdLAi7U31RF/hTDonvoF0I+xIWLJxmqFRleXmSRf50ynEhqGufUW+amaTEdFRmaWmKAc+nqEIW+TMplsMS2JRkQBRoPvf+rQwtL3Lh21YRGkVN+8wmJeYTC9ScCCs0Ejc3usNE0Yg8im6Y97VOtKQa+nl/5qx9pKM0JTVrx5eCfieCMjPNItWmT6PpEjfc1Ik0EP8fYOoyOrVw0rCqVK0G8FIaHGW7LUHaeFoYEi1ohi5JLFvNqEVrcMMDc7iqM77eTHPHNJRlfzFYzzGUWZUCIhEUTj+BkdF3c/DvPw6AbjY59MnPcdxHXo3sHbDK2I0o1W0SPx5ewsRkF6WugIn5MqO9s9YSjmHlyzey60ePMbdjBllyMZGm7nThJpKpZskCJYSxY0ubGGRsMVkPZiFsfhNhaIRu/jmVdiFKEkkQOcSBLcdyvCTNIUmE0nkoQDccZENaBHm3QTcCpq69Bm/FIgbe8TrkXpfMTp1Z7SBDENpFri4gEoORgqRgLW9niUdGoVwcjxCjpxF2OdRGFEEvJEWIVjUolEJ6nCTvqiIvOZPCzx+huXk3c798CHfZA3SffhYysF68PyYpOIuYO/c0are22pZlsu9j3zniteKaNQy96Y3Igg/SoJWlv0wcQ1gIKXeF1GPrqc42izRDhxX9U2nPXI+DtS7CyKGvXGe+6TO/s4dDXTGqGHPu8h14KXBsJCV9aSaKB6/ZzQOfewCjDfd+4k4WXbQGX8UcCrqYCorUo7SsQkv8lNA+a4g+2SyxoFij220SasWO2QGiNvBhlkvVRlhjMzVUpZMgfEtqknnIdgGJDiPtmS675qcBu+51Ovb2CJcxaWomUTmqPSPBaFfGNoqRKnQJ1dhDG0nZCaxha2wd/lSzxFyjQBQrotAhCaXtkZ0a5CK2HuTQG97A7LeuZfoOizauPbCdvZ/8IQNvvIJkqkK82PIb1A/V8HsLOH2WGrcuvDxkHAQOrpsw8juXsfPPvoAq+yS1AH/daho1H7cQ561DszxuoiWxkpZWVzgdlJ9xCkJyUu+snnjMRCVqicdcaL2jjIc+0a1e3MaIVptTI5GBQDXBqUNt+xbmHrmf0fOuoPuiC0k8MMpytuPaMRkp8Aq205k2ApVoTBrC9904p8WtRx7V0OfQdBdJoBCzLj1bJYUpQ2ksZH6pSyAEy3/3j9n5yY8AMHH1N1h52lvpXlSk228yWpqjKCOWvPY8bv9UJ9kIQLh9P2Mf+cIRrxfXvZj+JefYxx+5RBVB4kHigT8DUVeKeXEVM/UirkxYWHQItIsWkjHTkxMvKYxFyktL0JOh5rMy3KZ2mZ4VfOUvtnBgZ4BODD/+4hgv/oPlzJoisynyeS4uMBOW8v4As80iYWJBdEXIlXGYOpZZFMcYWz+eER1lXBSutLnxJK2NFpkiFrbpBfKprfunpZCFNEgvQbmWKzh76FlXD8tXmpDs3k9hpAu/yyeMlW2n56Qt0FKifwDfi/MQtSNsqLseujQD1yaLXQNRizScWCDTMI/xNbKqKIwuYfDtVzLxbymkPQjZ/CdXs/YTb0ZUisSJZGZfHaTAWboIqSx6EQO7xgYolZq42x/j/ve0KDKllHiLe2lQotqQzM6n1HduYhsTFGLbQcTY/EAWYtdaEgiHOAVpKFenG7ai2fBIIss6JRyrfJOorcF65kFpcmUsYoE3Izhw60+JZ+ZY8ScvRS0NmRs0efhHVhUytp/1p0lBV3aC23S3taQxEHZ5RGWIytBcHOP0BFTKAb4WhJFDtWrHaEKJO+EycN5l7Nv8aQCmvvptenvWoob6ceqCuGz5owde+Qpqt96N6u7GWTCAu3Qh1V/cAVrT/7KX4C9ZjJQe0dbdHLrm2+z/X3/P6jf9CfFwEadhOalrJ0Qs7Jmj5EQcqHcxPlehOevCwa38/N+uobhkgP63v4J4theUQS2xzGz+ohpKacp+yMOTQxSbMywaSdi3LeDeT9zB/P4as9unKawepbl1P6rksWO2n9l6IQ+fGyNQaS/djJpUSsNAqcYCv0aoFXtrPdTTbkKeSvIa50bkIqVVRMYR4JNv3GHogDJoWpESISH+zWn2RFbu125sGNHOHqdy4J2MBfG2PXSfOEBRRXn+NTKSShq61kYwk9JIetI2bjkUdDFWrzBZK1Ov+7ZXtU6N/zRCppqpI5DeRydUDF70Qhr7d9PcvROAmZ/ej8aj76qXUI9dPJXQGKvSffwI002behqvV5irFwgairiuGLv6+1RvssZkUrO5fW/FEvt/bMk/gsjJOZk9lVCgxaOdKWSw96RgJAUVMR5WqEYFqrGX0wAnqTKuBh5B6KK1sIDVwLY9FZGgcEjiz4CMwBjN4z/6OqXhpfSedi6iYZVx0KMx3bF1iqTB9RL6u+qWHKPN+9aJZHq6zGSQkoT4Cabm0P2oQ2WfpjAZURv9f6j772i7jvruH3/NzG6n367eZVm23LsNNjbYxnRMDyUQSEKANEgIIY0SUkgIIYVOCC0m9F5s04xt3Ltc1ax6pdvvqbvO/P6Yvfe9InmeL6z1Yz2w19KSdHV0yj4z82nv4pHUBbPjHv2VkDYyUKNUTj+RwX2Pottdpt7/ZVb844tympHD470R5qMK29//Wzzyho/iToxTWbuZZGqKwaF9uLUhTnOegFocIFHsZie7H/4a6cEDbDvx2biLEWr/MahVSVYP0d5UYWE16MDKYya3BTx49z3cfM/NtK46jxXPOx/fTTl1bJIt1WmqKmKFu2ir3bRKODC0M59mNeXRHxzlhx/bx/yRAWmkka5AZ4bRTU0OR8NMRQ3CzLVynYnHIHFRwhAmDr2+jxCGVmNAmLp0Q79EuVf8BL/QbRfQyvEwBUpfipQRt0enEtDNRW56QcS8V7XqiqnEpL+AgKxcC+wpD5g8mLp5dlZcU9+5l/joPNHkApte/2SCM7bb+XGRZUhRtoSCZf35OFMkqSKNrVqTySw1qsggydvcADKUaNdglKF12Sk01rj09kzhnXkah/7gPRz72r2sffmFZEbi+dIiF6fmUWPj6Mww/YEv0L9jJ2QZ3pqR4z5n2o1Iu9Pc/cJ/Zs3bXoUYWQnKQYg8Y8rT2zSTxwVjg/1d54dXlspyxq6z/DQrrvz/2A8vQFvQmtACGdv/rwaC/uqY9k9uxt+6Dm/zOtKUPKDb4G4cg9ECldqNLBMrdOX0rQNS5uc/TyEcgbQGSUtTGevTqNgKpduroFOJ7njIvsTtCpwu+CNb6Ww5lfaeBzBGM9j5IPUnX0wwB+2WzdSd1GHL378XYUC7huphwWRcY/bm6xGBz7C/mbQKzklrqe2N2bfz6+z+5HtwGi3WveYNpKMS6WYkWjEXVZhp10lCyZE/ey/pUQvACQ/MIDY9wPBplyATSW/Ux3VTSxfJJJXeFI+861sMHj5w3Pe44gkbGfn1qzC1Bo+/+SOMvvwKFroV0kSVQUYqO99MM9sBUTlHdCywdKhuYjm0Bdq7mJkO8nmx6yyJuJT82jRPXtFIlWfIRUXk/mxoy1+GqxifKEcj1ZIPtgHrTa0tDsT1MqqDOR77+v089M8zeK0KT3jHpTBUx8uRz4OkWupbj3sdpDDMJjX2t4eZ71XszD1yju8ogJ27u2AcewYYxyBjSWXRY+PLf4/JR67D37aJ8M6HaV93A82nXYzcaPUNhO/QPtgmziRz3TrtB+eZ/eAniSeP4IyOkM7O8dPX/DXfon/Pw4y99uXIioPTFKTKSntKZ8l/PcxHVwXNzVcpnszoJj6TvSaJtglbce4VPOM0VbZDlknQFjvjzCucnsBrk3cDob3rQZLuAhvPuZragktSg3gIjJsn4wILcjWw2A8I+x4ms8m007bPN/KQprdS2sracakeMyRVaG+QHLvAQ6zt47oZjtK2Ksw1D8Ze8ywOv/Uguten/cAh5o8muMP1EozWXqhixARn/eZ7CRY09X0dkkP3cQP7SXuLNHBwhD1TTzcXcSvX83j3HubuepwVla1sTLdijk2hN53N/Ek20RKpoH9kN4//4wfL72L2U98hOOM8PDHCA4A7kTHmdUta3f3XT/Gtd9xLuHg8UPLsF2/m7FefzK2f3sOj39xL4wnbeaw9zHS/TpgssQR8x0om9wceSml8L6XhRfQTr/ze6oF1q/NkVjq9FXaaTSfMaXw2MK+rzpNomZtJKFpeSC/xmOrUSeKfbVT1cwVkz8+QXmrb0gYMVsyiaOkoaQ+l9b/5ZGavv5f9H/0RD//5l9jxN8/DP3N7WfoHTs5Xw6otZUYSJi6dXmCzCWOlE0Xu3rMEBrCvKXK0ta5ohJdZ/9z1p1AZV4iOPURmP/9DRp5xDitXZax5ygbu+0CFYx/4KkPPuop4/yH6t95Xfq71r3sq7toJ5FCT3mNHePxP/gMA3Qs5+CdLBPLKtjWs/q0r8FaPoerVUnHHGDsbl8KQ5G1Kk7cxRd62MLEq21TFPMGkthImsxmyTAUqEhgByViCWBsz1hgws24YoRICPyGWin7Pg9DSwEQmkIlt5WmXsq0lE3C7NiBrB+IVEK+PcSsJraqVF51rV0kjB/oOMhIE8xJvEby2IW4IhvZkeI3zuZcHcPwaR274KitOXUG67QT8eUvRMBKGHzF4XUPjsQV2b11g9ubrqazdyBm7t3PwREjqBu0JRs65BBml7Nn1bZLOPN3KLI2NtmI6utAkSxTp7CJH//FTpEdnaFx+Ic1NZzJ3+w3MfeZrTFy6guRp20m7Hs2VA+LYoV6L2PunXyE6tFR6Ns4/kRP+9FlI32WxVyGNFave/jpSXyIiBx3lYxVpMMKatjueBZJU3ISVuTVnUWmV8q65WUFpQah0qdpTOuaZHLewzDi9+DetBWn6q0N72tyy0plK5S1bsdRy18Ymka6T2OR6pMqm33wiD773B0zf8jhfu/qzXHXt63B8QS/1ch1oq4XdzSwoZj6uWrBn7KBTO54SRUAu9HiMKBNxIwFp56sqgmilYOjyy5GRRPt2LNW99QHCU3YghWHL80/l1rd+l32fvAW5bTuLn72JZNb63Wa9Lmve84cEqxs4MmPm23cx+6lrAYge3svhP3xneR/W/OZTaJ22DrnNUqwK0R9Y4mhrKXL3JEU7tG33LE/YC1CnzoTdb6m0Fa6boUMHNRDIOHcsE+AMoFZfaV98ZhFvWJPUFEaBSAQi7/AhIHUddCSoHZIIDSqC5v6UyuEuIkwxcoTMF7g9g9vXHHmCQ1rT1De08ZbJOcaJQxQ5pH0XqarUtu+gc9cdyMBj359+kpM/8JssRHXi0ME5GFA9BsOPDXDu2UXW7fIQd6LRnMy5JeIeLF7obPMkHuFupjgMg91sEBvsRzvFzy1TDZ1772H2v2yXcux3XoY7UWPynR/h6Dvfx4a3/KUdY2grxhNKl8m9fb70ptsY2z5SBuSn/ctlrLtoNQbFQlJh+KUbOf2MrcwuOiz6FToDP39PhsDLrF1lqjBa4voxgZtYVodJ8T2rAjZW67Gy0kYJw5A7yP0cLG0vkAmd3LMgWaY+6QqNFpKmF+KpjChz6PwiArKjMpRjM6pCtEHlFWBxGSNQVcmKZ51D7DRY/NqNuBPWNSNwrTSlk0PaE21nBoVZtRDWMq8QDcdA3PeWDrtMgDIYz4Bnsc4mVsiuQkhD7XFJPAwrr34px77zRXa/5r3MXXE68qUncdIfX869b/s2x95jA2zltBMY3L8LgMaZG1EClEzwT1nBgWYV3e4fx9EFGDx2mD1v/gTNU9ey9d2/buHsedB18la8zhMKU7TWdT5H1MVBY2wgzmwlLLRtU6tIIBMQGYSbY2rNAVpL5ubqOCeexODeh1k43LQziVCiBnlQV6bMqrVHWYlp16Klo4kMKhlCapRj21z90CNa9BGpRTzKRKD6ksoUeB1D5oKKofbQFH7s46oKNKu4bpO5L30F/x2vJWvWwQi8WYXbN/gPHebh6H4OfPn7SD9gw2Uv5fCGFmnFsOJ2Q3eNoLtesnbyEsLnn8zhv38P6eIM4eR28DSqkZAePMCR93wOk8GKN7+OEe8EZASNJ6/j0Z1/ydR9P6B2cp1gfZVB5CKErdCiWCBcD7DAwPqTn87svD08SQXJY5NMvsdm3uv+/S3I+rD9Kgq9bJXhOhnjtS4j/sBy53OVsKILsrwDZIzAzw+zwgnJ5Jxjs/wAzufMxf81EoTzq1MhHwst7SnwEvCcssWfZpIklbQaA1xpP/tCVMEbcTn9b67m7rd+g2pT0fIH1LzsOFe1dhIwH1VIMsViPyAKPZtQJzYYi7RAHtt9URwtRoHMQHYVK+7URE074tEzCmcAlS0XEW/fz8LnvsvtP7yF1S99AqsuPYGxyw9x9JqbgJsQrkvjlDNp33M7lRPW0tpqJR99x5BtG2H2/3AfjnzqBg7HKZv+4KlMPO1MlNQl0KsAeBb8X60FuvDxzYMmkP9d2H1YizFakrVdgmMObsd+Nn/BUJ3O7LSuXafhjmMOHKERTePPD1Gd9hCZob1R4XbB7Wn72b966/94z8Xx31jCWXLgHReRrgtx/ZQodujubyIjQWVKIFIYmzL4ixmZB+n6k+jcdQfBthPo33s/B//rJ1Se8Syqj3is/8YMItUkj+xigUV2cT9zTDHKSlbnwXb55Qmf07iQXeYBjlQmmfydC1GZIBwHpyeYuesG5r7xTVa2Tmbi+c+nv6FFsiZi9LdfzOxHPsfiA7eDP0w8YZ3h2mlAO7TnX+bkVLkto+hTd3DL5DDtuRpCabpf/DozX7uV4YtOYOxNr7CIc8fGrChxytGl66U0ggjPWZJZbTSsythY0GVrdRpfWkGgfuYz0F4+fqky0C5OLnazmFSQua6EpcJaequvUrT3C9CydpTGc7LyjYNFRet8kxZXlisTrXzqSay5artFKOY60VHmsBjm5hKZLIFPAJXAGlDrnJ+cDHJgl8G2qloxyssRnZEVzFB9hdO3m7m33raw/avOYNU56+n++Dbmvn8LN3zrTvyta3Abo8RzU0y88WWsuWCMe15swWC73noNta0rWPuyJ+DWfDa+8ZnM3/gwrSedymDXYaLdh2lum6C2dYL5h6ZpnLutJLIDuZCHRdkunwebdGlTCjffIlpAmLeolf3/MtepzmmYEEp6cc0eRkFGcuAwwvGQoUT1bas+q2qbTfckKgY1sEHYuLYiTquGrJXa9nbxHkN7CJBIhKdtyywVuIsSFUFctxm2dmwXYrB1jCyQbLjwt9n9+X+hdvHZ9G68i+6P72L0OecT9z2iVsqewV1MPfoVyDIqK9ez6sW/jh4dwVuE2iQkNUEwa2gcMKhYs+2WIY4EAdlPDuBdeTIIycJnb2D6h9/CGR9j9Wtfy1B/lPrjGqEt72Ll0A4mZ+9j7gPvZeTA+ax97RXoHCg39KoXMvm2D+BtXMuql74GOdaEBUCCGYuY/cZXyjUm21PU1gZlm9l3UnzXtqomAmuWEeulVmRBe4Gf0l4WhiHPBu+ZsE4/tXNBne8Jyxaw1VQRpOFnl9D7ZbhcZ8nSzvWjMrlwVUYtp38tpwKl2tIcd7zratbU2gz7XbQR7O6MMzOo0Ys82vNVTCKXwC7LL2OrX5EtATmNC9rTYMCfVXgL0F4nSVp2v6R1jepL3J7Dqhe8nMr8ubR/8mMef9+32f9+h+DkLfazrBpjxVteS/K1B2gD0YFp9r/9M0xcuQPn0lMQW7cy9KwnIisu7sY1DO7dRTYzx9gVp6JTQzQ5R+X8UxgkDr5jcQSLoW/nwUYQ9y2fGGMtQ40o/TQwjsGtx0hlR1fpoo8cSLy2xOlBMGfw24bmLftJj1iN6dhEdJhmrbLv3zs4h3PHFLrfp7FlE/rgYXQcI845lfCZ5+F/83b7YheejnYl7lyfbKd1epPVKtnZJ7L6phh9i01gvCOLpOMS2Yvhkb3oKCy/hvnfuJBg++k0Zp9A9/Y7qZy2g6nP38ymE57K2h/GICVxd4YHuIVpjgCwnhM4gdP+r+upxQj7B4/S9meoi3HU4R7HrvkE8wt7WDt+NkMv/TXSisTpQ7rg0jjhbGbF55m95vPMXgPrP/5Cxk4cteC5dSs55TfOYOd/3svWV55L9MRn8cjuALWoEL5BjEbMfM0mKgt37WM4lXheWsYXrfPurjS4eZIcp3YMUYxRwdJTD0dDpVJjwUEuZKILcRiZM2gKed/iktjWuHB/AUpdxYGUlkAFG4iNsUCYIkgX3qnqOJ9RxdygWmbY5eZ2spJeoBEMYpcw9kgjBQhELclh/JbrbNW8LP0GZdDDCYl0MI3Uct1yPp/XHGPsimcycvEVdPc+yODW+2BMo8Y9Zt7/38hHTgZAuDbzP/bl2zFBlerTr8SsOYehZ52P0xWoU87BvyzBqaakbsbQKUsBLs3ba0bb2UvRqi7SYuEuzdtNZpV4RJojRrVtU9uWsw2mMoO0ZsC3oDnpaJL9hxjc/xj1M89ChhKRQrYmhr6DP6UIpm2rK6tA3DJkgQHHIGKBGCjEUC7CEitI8vZf1ZIdjRSAJFoXo+ZcGvsESVWgHeitM8yf7CBjQTC1gcZpZ9G58S4AOt+5nYkLV9O+8SDt635CNtfG37CBFS9/Bc7QMG5X4M9CdUojUoiGJE5okDmwQSWGleOnc/T2G6he/USctMr0Dd/B37qe7ee8Gu9ww84LFTR2dRD7j9A68Uy6wYDO4ccIH3kcs/dxxja0oFZFnjSM/tNXcfSvP0b30GM0V5xtZ5yOwfNTRLBk6Tj4yX1sOHsImSNRh/yQqhOXnNKSK5oLwfz02gcbZAueMkDdjegmXimAUDymWCfaCIp0dbnt4C/7tbFu54BurgMN4KmMphtZBbLUQeftqzC1Nptxpqh5FsQ1OWhZHnG7SbcXkPVdCKUlWUiLfSiD17JKuEhUtWvA1RDYgJwkksy3r6cDjZF2pqozg44F2hVUVmwjOG8z2dw0nRsfJHzwUWoXn8Xgnoc49o8fw5e2De8GLXr37mHfvXvwt60nCVbTuvpZiK7CKEOw4xScwNKJyj1sbB89M4I4tuCsJHbQqbBWoAW1RRibVBTcYt/euyyVZAMHctS4iqA6ZRi5v41c6JXBGGAftrQdDofQjQB9z5IbEZ0uol6DuZjO1hpuN/fl3bqZhQ0V0kDgjftUd4LasQ0TeMgoxX3kIOl0LoyyYgK9qokEkot2oH54V/n0cUuQ1jNGf+18+jt3MrjPUsyyhw4wNx1ydOZ+jiw+gMGwiZPYyIko8f8dSkaYwKk3mf3+dwme+wrCex5lfmEPJ258OiNnX8Z8U5LUbQIjUoGMFUMXXULUOcbg/keYuWUvno5YsWMUR2kuet0OssUej372Htae9jycTCEjQTqU4XtL+8xEKeHOR/HP3lz+TAiD52ZlAC2+YzcfUWkjSLGiNGFuHlNcy62Di1+lTjn6OPMkAAeNkb+AlnVmJOQvVgiiZ3kby/dsK9rL0WhFS7s46MLUXWpL5yAwT9qZXWGTthhWiHLouM2eLZAC7FwuDi2XWboap2odnpLQwbRSvFpsqVJalBxQBMiKT+OUs2iccpadz66fZ/C5rzP7Y5s9miRl7KVP5sCffRw53MS0XdxFZdu3bcMgXuDYA9/CVByGXnAFwdqgbKGr3M2kLHqE/aJN/oUXFYDOpN2w+Ry8+G6FsUGY/EDSOXDF/kWgE4WzeoX9/EFAuiKGvoKug+pJ3I49wNKqBWsZt/i/YFophbG3yZMFWUvz92VfXClN3Hdh4OC2BXHLtlUzDzsaUIasZuhu0wxvfjHej0eZveZ6ktlpHnnDRwFw16yk+sQdDD/jaThODWeQz7MlRA07I5epIfOKNqQhqzqs2n4pkwdvIzv6EGL9mQjPpXLGCcSbmpiuBaFlviBcVcNpbcI7o8LqK09j7sFbmf7S53ngDz4DwOn/+lLcTZsJtm3GGR0hOXwEff5ZVvXIMaSxonL2GYT32e976pt3kx06yvn/8nykMFSduFTZslrkqgTslGCt/6W6bbpRvhGtldxIMGCQI7GlMGV7t/j/5aH+82y4/8fXQmwDxObmLKrm002sMtJCHNj5m1alQ1nRrpXK7vtd8+Ml9W+wECB7yjIkdA5MEqKkaCKwtBDHoGsJQmq8akItiEtaYZopGBqUrIyCqZFlkjRRZKtt61xogetmUGvhvfBi0qdfhkgkyTMOMffJr9N91DqThccOMfyMpzP/7e8QB6O4+wKqR2HVFx5DT4ywd+QIRw7cjH/RDlpPPxvpCKqVmKqXkGlBZ+ARD1xb7RtsMNbYrpO2YyAjbHAxoSLJk3A5kATHJP48NPcneN+5g0IXZPnVYpSD7CYhQh6ehtNP5tgTh0gDO4py+pahELfA6UvESRchMxiMUwLf/I0XMfpggrcQw633kQKqXofN6zh45TCNQ5qKK3HnQ/A8dBzjnLCF3lqDNzGgVfVpfvDVPPpnXyDac4gDX/kYBwCJYphxxlnDOrHlZ15PjnAZOu185u6/ifj1XXQt95C+8iymNyriiYQVaxaourY4m1psMH7iU9g0Nss9b1xk50fvYudH76K1qcULP/VUVNVl/PIdPPzlXSSzU6jxtWjPICup9UleOUp61A4ijrzr0wz97QupnbUlxzvZYrFcT8s6PYXKYiEVW3gNWP55elwgLmxyy7NBYSl/eccIbMfNVz9bIv7z0Z7EErpY5Af6aG1AxU0Y8gal20bdsUP2glOaGUnVjVlbt/NYmffYC6UrKDh6SweeULmEpLOE7nS8DJXPr9NMYTT4tZhaEONIzYKxAB7tgskEacWm30IZSAVZAwjruM9/CSufn9K9+SFmP/JZDvzZx+17oE59xnLzhm44wh33fJCQJfOB3i23Uzn9JNRIi+5Nd+K2qqx81VNoXXwqsVAlcMNoSZH6Z4m01IZ8Xix0DszQIGNhqUkGwrEMKinS1Ziua+flAoysUj33NNq3/ITa9gpbX3YmU4sNtBZ0J1zouPYw0wLRigmqSS5hunQvC254q2rVqxylqXsRg9QlrjtMTTWJR+w82bi5gYRjMBLcZsTpa4/QT10OrLyI2WuuX/qOHIfk8FGSw0eprN5I/dxzMMJW60ZaZKxMAGFBKzKxt2XqVJ/MmaB6YA0LX/oBrVeOY8IId90qojFDOGEPG5kKeqtcVOSiHUBAZXxt+fr+RIOH3v41Vrz+auIfzJLOzqFW1BHNpEz+pIiZ//jnkM06um1b0rP3HkFNH6Oyeph+QU3JW0+FCUSx1osMepBY+UQlrNpaaiTSSByhGfe6DLkDxv0Og8zLs2pbZadaHqfhbpxfHVDXsHe88UY78Znp14iTXJVOaYyx60tIQ9VP6A88puaaiHy2bDJhKTfKoBNpLVMloCwOxAjbCZKOxvNSRur9EmdSKCXFwqHiWkaGkro0LSgcoeJcLzhJFf2+T7QQIBKB01EEkU10lbeeNa/8PdwDPSa/8VkWDz7E/Le+jXAdspkaW748j7n3YQ6Zg+ycuq38zP3Hd7H4pe/SOO1sjukBvbvuxl0zxoZ3vBLhj5aVPhrUQCIyK3ghE4iGjN3zocBIK39bOwyjD4Z4Dx8iPTb1f7z3o6xAorjXvZ2x3z4D74QKJk5QlZRKLSZJLGgMI4gjBT2FjCW6mkFgxTSSpkM47qJCl9WNc4gbisGoIhqG7gkJ3RMEsu8x9LCPvvAc4obdu6zpU69EOErTHIfe65/Knj+yQFeBQJMxxxRzTLHWbEYI8X/8HMWlGg3i87bhXjaFufV7uLd9j+mDC4jAJ73UI6gssqLe54TWNHUVE2mH0aCfq2NFNDYOM32PTRDbB9p86y23sOHXL2Tn++8CKXHXBehqAtrSU7u3PVwG4+J66M++wHNvev1xUsbaWA9q62O+1MEqaGqZlgROUmIGSknkPAB7KjsuWBd0qOUjr9V+m0D+bHzHnysgr28u4Nas9VlFWfnB0gVHxiihrZOKscLsiSvZUJujIuMSkdZOAwa5Bmwql3rxC7GtPH0ntT13q15G1Y1x8w/90/M3W+EkrKrYQH+fWlP65k4fayFd2+oyi7k4Rj6jcvoCp+tTGz4X+aQFpm+wylwL13yNmfbnLBVqdAUxfSqbtjDYZ7PqYNsJJPuPMrjPtpOSmTZHP/E9mhdup+LbwylJFUoa6887H5QtapmLGqAp/yxTkDH012WooYgsdNCLHqovcXo2aKsQahe9nOnZLzL5n9+ntaHBSZevJtWSI90m/YZHqxqipGYk6NvEKJf7rKiYXuqXAANH2nZKoFKqTly2aF2V0Rv1CJy05NEOYpe1QwvsaB2lnQRUlcvIyj7633+T/f/0dUxQw9u4BhMaOj+8GWflhKVRe9h2uLB8aJt4AFUYTAj6KypoF8KVcPpvncktf/xN+n/1b/b+f/VHVN62A6ElRBIzkGgXtGvFEtIqxJUlisPYH7+aw3/27xx6l62Wm1deRuPSi2xCpEELzeOveIf9t5NXsHBrt/y/nb0z+KtGWIiCUv6y4lhTjKYX0XRDfJky7nWIjMvB/jD91C033rDXw5cpTSekocLSNcwVGQrNXFYrrRt7qTXXSI1kCSL4y3+tr9iWdcsNcVyNqhmablRWBZ6yYggaURq4SAzd1CNMHYI8+SiMNZTUpW0mkFvzpaUOga9SBpk1rOinLloJlNHHtcs9aX/1czvIIhgvtquW1z9QeLNOCZB0OxDMG6rHUrzv3gHAxu3P4XoeIyPFJClH/uSd7I+X1kalNs6gZwFttdWbkQsDunffQZbZOWByeIbs5lvwn/lUwp5nK/3UGrvICLw2dDZadkVRKQdzdh+4Pbs3+mdtIKltpvbF/wnIAnCFx8bffysHPv1+Zj/0MS78+MvQlXouQOEuuSJlCs+xzJdEy+MAsklT2c5i7LB/qGIr9kaM9DLGhi0AMoxdFsY9mzylEuVnrB+fK+933Y0JTx2l/aqnsvCNuxnuN2kNahwi90D/WYLxyDCHX3US0TAM72jiX76J3R9aspAc33UjG6/YjHXEs9rnDScsldUcoents632dc/cwfDJE9z/Dz9k8icHcUYbnPTOqxnekpHpBTIt6D12hD3/8N/2uzxpHYOHD5av1dQLhE6jTJaL0VIhu9t0o1LBr1jnjtRlpzfVEm/Z2KlgYIA1OAmU9ULWCGoqKm1nE/Ozadj/XAF5wu8wVIO6Cksh76qMUbkhuxKanvYpfEMVmgxZ2q11sgBfpvRSvwwavhPTSz3Ggh6rq+0yuyh0cX2V5kNzTUUluCKjquLcONoO2gNhFZpGV/YYaI+V3gK7JyaYHLSsTJ4zShZbqkFqBEmkQBpUkFI/4yLSVZr5/76WdL63tIiqMSPPeT4ra+cy+djnaV16Omb1NuS8h5qJUQPJkTuvoXPDfez+nX9n6wfegPRd6kFMux8QD9yyjSVs9922tnK+rlCgQkG4QuOMhJhDVZzcSUkNBE7P0h8yDxQOjd98EeFnDjH5qRvYvuPJbNzs24OtZfV+ATbXZxh320S9FN8XDPkxfe2X9pOTcSsPHNburhBHX1uts5BUSlPtSDtIoVnhd1jrzbFLr2AxsdrN205XrP34SznabtLr+Rx773/jjI+idqwiI5eIzHLOirLtc5T9q/E0aS0pOx7HzDl4a24lPmw3W7LvEMmBWbwNY1BNyVw7l8tSQdIEainxzkPld9S/Zw+r/uq3mP73zzP8oqdTPfcUe4NDy9GOj9qMeuT01ZzzmpO47tY95f89dP0uTnrKKoa9fqmnXLh3yfzetNTAyvAZxUpvAW1k6Xm8fH0DBCJh3GnjigxPpGxkmp72WchqpVzffFoldTx+Va6F2AJ26irEUdbRZszrovIGa5I7oBX7G6yS0kC7DDKXWr6+krxaUMKU1KdCVjdblmQXuBSJIZaKgPR/JOFWL9hjIR9vDSI7CssiZeU1Y0lWNWTaJoPGEahEUL1tAX36yQzW15lZ63DWiW/j0Rs+Rnt+P8myYOysXMWq5/w6sQzp3Horay96LkHoodFEdUO7Ps/kB/+dff/5E1a3I4IXPI8MqyBY8P3jJhjPWFW7XJQHbKWe1AS91R7hqE3Ka//LfZeVCod+70yyk2LWbPl19v/+vzD1qR+y4/UXETtVoswpbUcB2zFIM6KBIa1XcPMZfCFKEqYukz3bSWsO266HV7RQPdvxNFqQSoWQtqiqOMmSNnnqULn4yYyteSob/nMv/cF+9vIgGytnQCQtIXr5dcHpqH5Mdv/DcMHpHL6gRn+lQQcGF9j8vFN5/LolyeM9n72b0562kkBlpaOeKzSuE+ZYDs2xe2034eA3H+S0V55C+PIzmd15jBP/9OlUV9SRIiLNK9oj378HgEv+9Vk8/PmHGCx7a+1d0zRPscppUhgcs6QhEDjWa9kR2bJWtswtQq3PdS9dwqMUpjMAbl4A1VVU0qKUWLov4f9iy/q/XT9fhRzMEbgOVRmVh3ogEzIjUXl1UJUxnWxJSNu2ATUSmVcSLn6QlnZ8w24fmWuQFs9TfMiftj2zHzxjzOngipS+9gmNS01G+CLhxCDEFSk1EXN+ZQ+hcZnL6hxd3SLSrhUmj+sMtFtqz6ZG0n3DVvTLV3L7O3/AwiPH2Hb+EAfvmeWiV63iwYMZpz3nMjSCinOUQ60hhndYi7Cxq64kvmotd7z1Wzz44n/AG2swfPpqVr3sEtzhFXRSm7Ebx7aBZWJzKSuTB4MtCbXhAVHkkFU01DLcSkI8GxBPGAgyvEpi1aicjPVvuog7/+LbfOc3vsaVf3EW42ev5ejth8kSjRxpcN339/P4Dw8StmOaYx5v+eypbGh2qY74DAhY682VQeRY0io9aW3AXmrhNN0QiaahQhJjXXjsYxSLUUAn9unMV4keOkL/zgcY/+3nEIzEIKxym+tk5dylEHwxxoJiwtjF5CpFDKpM/OHvkew7zLEPfMR+50cWYGIFRllgB9JA1fLNO9/6HoQh/rpxooPTzH/2mww//xLW/8sf2Zm4E9tWm9S0D3aY/E/La+wfaZO0w+PWUTrfZ2MwS1UuZa6FFF6x7jKshq4rbOLZkFbA3hMZVRGRoOhklupQ/MzL94A2gkBY55majOgpn5bTh+B/O4J/Oa/I2OMh1C5VI6zfsIjyLkDR0tcs9zcuriJJz5BE2i0DdvGYQtwh1G7pM2v9kjVICFRCiGVjzEcVSysKvSXjjoFTAqeMp62qVyIwgcY4xq4bYTCOJtqgmD9jCBEqG6RVhr+yxvBzXkdt/14m3/4R6uefRDo5xfonTuA93cfLKqgLnks3UnSdFFVNcN0MN6qz/t/+hPZHP8uRL92FunYn7liL6gWnIs67Epk5aN9ya7VrbHs+yEhXgkkkqpt7TDsakQnCt12EGliaIUB7i0aNRqwcPcoZzTla7oDH37iNa//1URYfOsq577wS5iTzu48SNFyiCA5/+0Gm7j2KyQxrLt3MFX97EUkvwW1VSlvYoWBAnCnW1hapqJjFpFKaKBS8+9lBjflehfleFZ2Pt472XGYPDhEcdWjsN/TPWMcjzfvQexTpnz6bPY26BWEZcDqWC53UDcgqRl5gKaqVGL9uW+CNIMI7aQOX/OdL6N3xKHd94B66k11qTsS418upRR6RdmyCPN3j3v9+iAteuYVbP2kT6ute9WWe8f4rGP+DU0lMSjcJaXkDaipi7/X7OfKN++36fXAfqzd6TN+0tKZHaimjfrtcc8VVBNHla1gKwwp3kZbqo5FWRzut0c2C42RhwRqjVPMucbkn8jWeGMUg+wXQnibcRWquRLMUKCVWvcgVaXnYBzIp/03lgTs2iiA3dy+uDFkG0yJjLp4j1HZmV3hUZsgyMw/NEpo1EAm+SAhkwpDs5+/DEIgUz2QEIqEqI0LjEmqXMadDaFxrOm1cEm1tEFXVsPXDFzHhtbnln+9i5/UZVTlg7Yp5erFH3be8tDNWHqamYjqpz+Fei9GLtnD6+1/B/m/twiQJC/c9xvQNH+OMj74Gr74WXbEzZZ3m4iGOQUpNFiuGhvvU/YiO8gkdTb0SUXETFn07I1NSU/XyuZkbc96GjCd+5Yl84533840/vR24/bjvpzpeZfsLTmT1loCb3ncff36FRU5e+WujvPqdm3DzAKGR+DIh0i4Ku3gqKkGhicyS6XeY6w/PxrWyZWM9SiVZp8fMf16Dt2ENI1echuvZQNwKBmX7spcLJRROQZnOdX+X8XJVq4I67QTGfvdVEKb4p24rOeYYwNVIPyPwQx7/7A/sBxVYtQ0B81/6MeNXXwiVKr6bUvcjVk49yLf/8gYcBDEQTnfx6h7vfvAqbv3iIe7+2mFe8W9nlp9TG0FiLEgp1C5KaPx8DWcIMA4STWKcUqUtNtU8EEmqImJI9st9UQTjLJ85BzKx61Jo1vq/OvaLxfdU7L8s73xpI0mKAEu25G+ct+vBMi2KvWufwx5Oi7paHoaDzCPJKSSFw1M78S2wLnXpRdZgIhq46FhZGV0D+BqVgzpNJlFuRlCJcR0LDnVytbWKk1B3lxD0U/06872K1aQecRht9Wiur3PxT17Lac1D/MOTdhPseYxXb7uZx8MxIu0w7PQZdntE2mXfYIzHFq2LmfnNl8KWe4h2H8TEMfNf+CFy92Oc+u7nE2uXmhszEXRLt6umG5YGG4WoSNEatY85vvMX5GeaKzLO+Z1xnvhExb/84V6+9vxc4rcQTgEmzlzJeW86D90ecMeH7+cTF9nq81WfvoSRHauJtENFJSRGMupZF6pRt8ewZwOyn8uYOlJz9Mgw5ojLbDRE3DRkDY3sW3Bm3BB0dz/C1KM3MfLSp9I6K8F3bHdruc6/g+Wu17yYipNY7W+5JKLTT12qmycY3VBHewGrz1lJbFx8mbDWse3ynvaJtMvRvdPce43VixjfUGF6/wAhBXd8bCeXvecKq/wWdNjgHOOeL+zjm+/aw6pTR5h8YI7bPryTd+18Bs963Wp+8P7H8JTm7DMMiZm3a3RZh6tYt0DZ1QWbQHZ0pXxMoaldBNvCv9CeIapc29myGGmr/p9tz/1cAXmNM0fTtdlwZiShcelrn9goEuMjsZVCIPKAnLf1ApnkQTkHgyybNReBWC7byAChcI+7McWNKm5M8fz2Ztifz2Y1lLC0hOI1i+dURWtCGKoixvWyMrO3B4oNVtF0h298bIqJ1Q7ntfaTDR8uW73bK5OsdBfYOVjH4WiotJk74YwawZZLUVLTCE/jey/8FHP/9X1O+YunEeYCE9W8BeSplJqK8WXKqNfFFRnzqa2aMmN9RdMhRWIkShjGvC6BTPBlQj/zUfWAl73nVE5/zjqOTWrWX7IeryKZP9BhaGML6bo0nQEnneLyyHWHuOdbR7nus7O87I9X4bacMmgEIkELQUcHJEYx4vTs4susGfdsUmOQeXRTnz3zo6xrLlh94MRlcGieqfd8BRP1OfHdL2DVeJumG+GplDgHM8U5Fz3JreayHAgopaZaScn8tNSNTjOJesIJSKVp1BbLdtpyNORY0OfkD1/Kl177o0K7sTyQ/AO7OPvyJun9u7j53x7gxvvarFrv8s6Pr+O3Lt9LY8so/pbV7OkNGDrP47lnDDE42iVedDg8sbYMCBrBkDuwIxljK7whtdTBKb6jzLgsZtWyAszyzbjSWaQmEgKR4QtDYDJqIqEhU3pG0dEeI97P1rr6ZbjGfasWZYOtTS4UhgxRBti+8QlkUu7FonLOEPQz/7iDapC5pW9uOSfOuZxFEO5GXikzmSQKnUl0ZlXpKBgXboaT01q0FrlHd4qnMipuXAJt6k5M3Q3LmV4xy45SRSys8cxIMGDC7/DIf++kPZtw1ksqDKk+qzw77V/lzjPqdEmMHeN0koA5lTKIXLynn4Yxp1sThx83ue+ffsz4Y3ey+oI1VGVM3QlRGOoqZEj1jytairEeLJ1fRbITG1UmxolRZEYyccoof/zlMW759jxqrMWqc1fTm4todyWtDZbKVZEJKzYGdPbOcsNH93D7xx7ief82wkBb+Vcf8MUSx1blo0A7J80Y8mxV7C1CZdowGBMMpDW8EKFhds/dHL7981RO3UH9KZeQZhFK2r3huSnDlX7JyS0YNlLo3CFrGTdXWNU7HJdNLzwDT6bEOrbGETIqz21tBGdcMcb+V6zlx58+ZIOxgLgTc/imA/QjiRfA7v++n098+CEG3YwrXzJCY/MoX3pgjlf+8w6G41mGJjTB1VW8hkdn/wKV0YB6Q+EKW7X2tW1DF3FJYkiwcSYxqvy+QuOU35US+rjiUpPHs2VBvuwGCUG0jDb1f7t+roAM0DNeOSdeXqkWNllxHmQVOm9HOSity8coNKGxbaoigy6y66KSSIxDqF1C4x7XVvjpAF0s4L72yoVb9O6XHxDF4ZAYRVXGuDIlEOmy957SUCHKpLzhUjt/eMM/bGBTZQYlDCcGk7giLSv8Dd4MK9xFNgazdDIb0OpuSD/1qQ4ZVmxr8vh1e3jRm+7HWz1SVlzFBmhICwJqqAGJcRh27OzaEyk97eetu6x872A3bSCTciSw4+JRzpIJigX62mdsR0CiUyAlQ9LcPMp5vzPKYk9x5BP7mPZX4pg2YW62Pp02yufNjKSTBbScvs36hGFdMM98WkMbwYr6EkKwf+tOdv/Dt3CGm5z09y9mfGOFEb9LkIP8ZrN66R88iN28qjKQW3OOVPtUnSTns4YlsOzYoE6mLRq/7salyX2BH1jptxm+RLHho9t5729ZD9vCPUw9+BBPuHqE3/29W4kGmle9qsrvvbmBqttstrNnlq9f/rHyM9TGA3rTtoX9hjt/je5siDtco+bE+CIpuwcRLiOqR01G5bos2tNr3HlcbLehnSc1s1kdVLdcU74wNGSGLxSuyfAIieTPveX+n11HQlv9zCVVgsSCrYqKtuBdLv8zUFJBCpEQGwBt5ZSkyqKDwyXNaulbfXydSHToICJbjRlloJKVlaDJREnX05kkCQvlO6uG18kkUmk6yi/1xRdURtP3LRAs55euqlsnsILyVlMx2cN7+My79gPw8t8bY0YkrHAXacgBo6pX7sER1WNb/Rjdis+m+hyJkWVSPvaCce77J7juL27hizdvQHteidz3RFYe/olxCI1TdhwSo0hw7O9alWfm8jOtmNVH0mHiGVYJq6Md0qEm1WGDJ6PccUhz9jNXMuFWuefLB6j5GSNOj9BEJMrBlWl5pvjS7leAdlbh8KCFJzNGVy7CT8YI5jOCefAXHGSYsv/GzzG9/y5W1U9i09qX0Ls7oLcmoNfQmCCjMhyystXGd1I8YYOxI7MSXFroPrsyYzGtlCOy5R0CKWwXKoHjCr6nv2UHSSfmlq9OETQcBm37vt2pSTqHp/jhPz1AUJX8+b+v4QXPhOtuz/gS8Kk/epBPLqtM122rcPCxAc98zQpe8qZVECXUWw6eyFjIqsT5fS+SygTFTNIox6vLkyignHcvv9w89vgyRUurcZ1oSaZ/AbSnw+kIXuKVBtDkN+6nr37mlpmFzRrsoRqI5LjquMgkZF7tuCYFnLLiSIy9IcWXt/xaPjAv3kekHdo6KG+SNhZFV3qVCm39bxFM+B16qU9iJONel1XeInu/vZssgze/rcXVl4T0dUZsFB0TlFnbQlYr2+8r3EXGnDaeyNjgz7CQ2Tbm7pMrHHlgnn+46sds2eFz+YvHuODF66jItHwfReegk0k8kdKQIYFMWCdmy8zKgoJsW8luZLv5F7MKfe3RyQIaKiwXSbbM+F0rW23vvb/L+tNbVJyUI8lQmdBYsEKCK2ObyMg0TxLsxtngTRMaj9v0ZmpOxHxcY+ruIzz2t9+idt7JrPn9Z+E2JYmOcqS8JDWKljeg7obE2ilt55ajFcf8Hg3XvkZdLbVvt9Sny/deGL1rI6iohIYKGXZ6KDQ7LhnlyhcN8cOvLnLxc4b5wRfmuOD0mM3uFGjDK19T5R/eOcSCNtx63/8+t7n6TRv5zFttUH//OZ8FYGKdz5s/fSoP39Zm1bY649uHCURCQw3y5NNjSPVoiBAvB30kxo5RJlSHtg7oG5/EOGQiJTQy39iGWQ2gCI3D0bQBHPxf39cv29VPLQDtUH+YTFeZ6dWOU9bLtCTJDSGMEShXo1NhA2smMD/t/ZwHVxEqZA52ND0rWKMycNKcBlg8fyBLUJTIBLqyTAwkBy6RG05kWEW/ckUJg1tJWXAqSGmoejFDFeubHaiENZVFhh07s/zGh6yV4HfvWkvkVcgyWXb5FnSVnvbLWeEmf3rp/miPY0mLSDu0knmGRhULsxmXb9/LpU+t8MLXjbPxtAYLWdUGGqPoZEG5j91cctGehYJEL3UQi+pL5WAisPzWioxzFy27p1ypcXLcQtFJS6YWac8mnP2ECi3Vp2oUmbLnTHEV7ePEKNpZhX2Lo8SZYlW9ze51YwztSUlrDsMP9bhv4TvMHriHHZzHqt56+M69NNevxdSqJOM1BhM+nbUNjlwkaNRChoIBjtRlku6KJR5vVca0/AG+TPBESqjd4xg0hZ2hEpoR1SMQCaFxeeafnsyDN84xsT5gct+Afjvj/A2z3HnAfuNvv2YbZ50GiRjwgy9autNPY81OPLvGwccG7L6nw8t3HAPgxa8b5ZynjnJozxSnXTIEjREi7eKKFIkt8Hraxon5uHacuUQx6gPopb4tLvJ7WyTexXkbp78Apa6KiAmkKee5Vdm3rU8EofFsOy+f/xbBGMgXm0vXBBRG0sVVBN7li6SAogMMtEeil5Day2dSljsmSuBCrJe4n2HmHAdUSvKgUHDLHkhWEeV8ypF6n82tWQ49tBuAFWP2NdraBhSFRY9nSBpqUAJWik1bZHNV2SQQMX/5tw1uvGCCO37YZW465cN/dZgP/9Vhzr2szujqgF97/QirVtlN33DCEp1eXKGxlWVf+2U7JTQu82mNRCum40ZZqcBy7twSwGA0R/yNr/XZdcMCh/YlDK0PcrSgS1XGdlNjGHG6ZSAusvK5rE6oXQaZR0XFhA/t40e/ex3DJ09w6jsuR0hLRwtUSsMNGXIHNJUFPRVz2FDbDkdkrN5rcQUyYcJt05ADajIqkc1FRlzcC20EVRlTkxENNSDULj3t8+q3rWfnbQ9zZJdFjH7oT/ZS9Tfw1Be1+OR/LHDgqGDrWU2+/9UOyhVkydJ6e84fbmSxp1h1cpPJh9rlz6cORrz50iVf5y2nBJxx2TBnXTXBmhN8XJHxg+tj/um1e3jj20Z4wW+08rWRd2DykU1bB4TGsd0fJA05oKMr+TgnPe57/mW/1lZGARj1e6S5QlYv9ksh/UzLZTt1GS+5kpIlyjqcwXFiNE7udiXIzTZiZUVUcq1npEEqjeNn1HxrFJ+kynZPPMuxd+USCLHmRdSXyRJ6MisTOikMjrAYF0+mrPTaVJWtJkdUlyFl1887brIdqr5bJc4qtiDALQOn7Qja1wtEQiASewbmQFaA8Xqbz9y0hQ+/6xhaw03XdvnRtQfYcqLLxIaA7Re0uOLXxhl3EuIy2Nrxms6r5eLcKwoWsEl2VcZlQVOAaZeP76oyoqnCsovTbWTUmpL7bmrzpBf30cot8SBFQRQaF0/Yblo39QichDhT7J4ZQyZw4MqAeCxl7r++RfehW1n5pOeydvZkmJxm9lnbiYaEtYMchnhIQyOi6Se4UtP0Ioa8fo5ONkt0wBKRnFe4IsPPA5pGlnNzgHZmz6qG0khtUE2XV733FP71lfdy2Ysn+OHnpnjH0+7gj79wNrURj7de/QiX/9oYT7xQcO3nF9lysseeh5bWxb9+dSPf+Owi9ZbisXuX+PWf++Asn/ugDeCud5DzLqlywVObnHrZKI0hh3Gnw/vefpg7vnyY3//OUxheW6OubHdtPqnlzAyNDDSLafW4anr5FS+T4/y/XT93/6y4YcXhXwTjdo6sViKfAxg7My5Qq660pO0MUQK2Eq1KYJUr9XEUiCLIFoFneZAugqtG0I6DUkM00arU1o7SJUAJUConCWGFxaOuj4klciA5UqmQrZVMH8izxkaNo2mDjg5KGgvYuWtNxMd1B5TQy+ayeZYqNM+8usrVz/MxqeZj7+8w11Hsekzzk+8ucPO353nlG8e58hkBE6N5woKy1ZURZTDsa59OFpQLuUCIT4f149SjCrOOfuqW7WApLE3lyjefwuH75/ngq+/iHV85jfqwSyJVGThtIhHnm91+B1JoOrrCXFrPv/OYez5wF5Wmy0s/djGhO29nUiqlIhOG3D4NFVKVUfm8GZKW6h83L3NFRl97BMJmxyudRVtt5tiDDMFsVl868NB2nCBzhLS06ysUHn/w7jX8xa/v57QLqtx/a5+dP2nzqt8dZu9DIT/8Vo8ffssesqtOqDG5a4nO9vCdXfbfc4gk/N9bSH/1503Wrpd8+VsR3/n4Ub70b5M881VjPO91K9mz087Y/vkdcyDh2S8bwnPsgb080NZkVB6ArkhZyKo20xfuceCRX/YrTK2d5YTfgUpajmWWt6jDzCFQKYFKSHMN8DBzaEcBvdgrzTcclbvkyCW7ymK/xrmTj9aiNK5peBbguHwPV52EQCW0XKvYVVUJwzn2oZhrFyOh4kqMU6LkazIqRw4NOaAmYuJl60B7AR0dHMf6AIhyJLj9v0vBZDm7JJAJjSDjze8aA+Dlv1Hl+m/0mT6WcuCg5pPvOsSd1y3w/NcMcf6T62ih8iAsjytklgNml88owSblyli8S3EO+yJhSPXL4gABlYbLG/5hI+95w14+8c4DvOadG+jjLUt0ZXmuFK8xWumTGkk/9Egaudtc/wjdH99G48lnU3n2xRzZLxhMjJGuDa0SlpfheylDXkLVjam4Ficz5PUZ95aoZMUaKD5TYhzbzcgr0eIxMj/HNJKe9o+bJVdlxAnnDfPkl6/iR5+d5MQzKzx6zwAzNc/T3nwS17/3Ya6/Zobrr7GvuW5LcFxAnjoYcv3n5su/V6qCQX8pUf/rT25g70Mhd/1gkX968yTV+jH+8oNrGVnl8fidNmD/69O+z5994XTGTy+6lnlileMEGjIkNK5lFSxLqlyRMfhFmEsEIsHNieAyzxBlDojqa7+cPw6pPi3ZL4NKEWwSo1hMKwwyjwxBrB0G2dIcOswFQ+yQ387rWu6g5IEVVbL1zq2yGAfEqUMv8ggHOb9TFP7DuTKStoR3tPUtLv2U+wqZWom72gFJb/c4Ry2YD33qdnbFNhAX2XSBTm7rpQBZbChXpLjYTTmb1lkQxlZ1ckAoXK56wxgLWdVWeAsJH/uTXfz7Xx3llh8P86YPngDAXGr5qotphem4Xt6TdlIhzhSd2KcX27nUIHKt73KOxI5Cl2zg4FRTgkrMeL1Lqu3s9uRmxmv/42z+/qobufZjB3nRn2y0yVDeGipoP1JoptNm2bE4Gg+xvzdCmDkMHXqEg3fP8vK/2sQZo8fo6YXy/bkiY1R1y6y/JiM6okKoXVa6uTJbXh3arolTbsKaPB5xrDCscexz97SXPyZHNeYHVWIk0zQ58dwWf/Avm/jQW+3s77rPzbN+W4W1JzfY8Yx1JNtO4OgdRzjnOav4t8u/U7av+gsxb77uSfh1B6kNiwcWWXxwkg//2QHWb1S882/avO0vmnzmgyOEoeHfPtzm3f8ww7c/PUMxBnJc+Oe3zfGlT3d55yc24K5o0skCRpwugUjo6Eq5GeNUla1KgIClqvyX/RpybSKz2l9ABQNmkgap1y8T0qqKqatwGThoieaxnMK4hMJOj0vY+torMQw6B4rqZV2eaj7SWI44hiWwTJGwgQ28y5Gt9nFLh6AnsnLUVJMRo9JSF5O8e3LWE6pEKmAhqZYBvSgCpND4eWepp/2SymYpn2KJIbLss2450WPNCdXyzLj1JwkfevNe3v5bh/iLD6zhwquG7HOjybBgoJqM8vb4UjKeGOtwVPC9C7CnJ1N8mbLKW8zPIHtP+toj1C5DF6/iyj/0+O4/PcITf20NwZYq+wdjJec+0g4KO3bppAGetAYrpiGY2QorGj0Of+xG0IYr3noKc/Iw8ckOmyo9hrxB2XXw818F/dW20Zdmwsu/r+L87muv/M6LrqgSGrVsxNHNP7sdbYU5BVPx8reupUrINz9jg+sH3/I4T33tBs5+5gq2XzREQ4S0Jwes3l7nR99Y2mu18SqfueMkmkPQXdB02xkf+PPD3HvrgPEVknf+1gE+/L2tvPx3WhybzHj7G47y1lf8lL/6Woe/feF9PPO3V/H8P1yb0xtliS9CQJUYFGVgtms5ofczurz9XAH5QDLKaKIZUj2m0yZzWY2WGtgZaF7GKzQLWbVEoYbGIdFOmY1F2qGb2xppI8tKuNiI1Vx2M87nJoWICNiWdj/zaMc+3dgnSh16oYeSmqAS01us5KIUS5fRIGJLl5DLvINVaEn7Qlt1KbcHazY/iT37H+fT79jHi//mFOqFAlPOObMiEUvzpCRHjQ+pHolw8lmR1USeThs0ZIhGlJlpNwuY8es88Z9OYPgjt3H35/Zwf38dkXbo5ApmBfo0zByizGGhXyGMXDuryy3dCo1sY+zfyZOPtOfQ67j0JutUV3YJvJSNtVlaE0Oc9bQJbvziFFe/aRMoyu6FKzLGnTZ62WFYjBRa3oA0qhGMWhT43Kzteig0LdUvD6LiKjJbgIYKy4O3oPzURAwizhHtGo+MnnHzw3QJBe+RMaTC8v30jMuCtllpIBKm0wbHkhZDF8PrPzHGPzzX0r8+9tdH8ncyDexi5Iw1TB+KGD1hmGrTQUnD2b++jdu+eox6VfPEF63GO6FFo6U46YIFrn71CH/724/zjne1MSeuoLd/nq98JT+c8/30nFeP8hu/P8QLzt3Dgd0xr7l0F1kKr/3nbVz5rGqZoBXBIjEOc1m9DD6PD351eMgrA2th6YiMiowtQGgZLWxE9cpKraA2JsY5rhrKcmoYUAbDhgyPG2kVHZIC1FM8X0MNLK0qPzvi/LmLcU5s1P8YARSvLdGoZRTMzAgr0IKhLyMSZTEsUaC47Nldfvj1NntvnWbD+fZxRbFRvO8MiZubDpSvhUblf02MU3bUlDH0jEcnq1gMiq4wcY7iT763gXdfcQO33KLZdnkdja1Ui25QhrRnRFJnkLksJhW6ic/RboPOICBJ8opMLbkU1YOIqhsTqJS6G7OuOs9CUmE2qlG5YozKR/fw9Ws6XPKW7SUIackMwe75mbBaiowIYdg8NstE0KVdtYt+bXKITasHZEbQcgYWGJuPt4pO0HLFqwKkW1AHl3P7LbArLv9cVMFZfr4W97LQuvBEWiLDMyPB8Xj527YgKwf5+kePMbk/5hN/ZiupH/ynxWa8+I/X8tU/3st5Vw4xfSRh5eaAyKnw1U/OcMlTAradXmVkVPKiV7fodTJe/vujvO21k/zRCx/nbf91Il/818McO3T8zPftn9zMRD3i9c8/zDc/Msk3PzLJyU8a41lv3c6K9RX6mvy+LEsCc1ErV6R46hdQIVdljMZlfzxOJwvoZj7zSY1C/am4+UCpBOWKDJ1nyi4w4XWoq6hsVc+ZGg03pOmEHIss8jfMXKYGNeJ8DqxykYnCdzZMXRb71hjaGEEUuQRBgleLiXuuDVBRrpIFuXg9GGEgtpaDhbQeWIWdzIXWltMZr17NI1//CvO/sZr6iVX2DsZJAlUO9yPtltVAaJwSrd3XHotZlZmkXnLVuioo0ZMHBiPs7w4TJi510WHvbbM01raYyavhXuqR5sL9s/0aYexYObwCkZrJssK3IvpYVaxcnF9AqVAvMkF/ukY6stS6G98+zB1fP8ZQOINp1plL69SUzcgXsypVGTPudMiQTKcNHJGxNpjnjPoBjiUtaiMuM4ejcq5boAdt1ZO72eROOEl+UBaIxRHHtq8SYatjN18jhbBGaNySL+6ZtEwWFrLace254rFFFdbNArINdV5/wyru/MYx2oc6zOw8xszOHB1872Hm7j183Bred9tM+edzn7uKapChx5v87ifOorI4Q7Wp6Lcz3vkKu8m9+vFbJFjRIKwNc+1j29j3WMj73zHNPT8Z8OE3PsaFV5yN9Cxqs6ODkh+/zp0lMQ6xUdT849uQv8zXQmQTnFi7OMvoHstxIEVymrFE1SGvGqrSMi+K7lmIazWfl80xgXyEkR/OIi2rjiIYq5yGkhiVf/9OWWUtv1QuXgNFB88clzyXYyAZ2LlwPj577t+NMHngVj75d0f466+OlBz8Yu5pxy6iTBZkziCRcmlclWlJLJbOvoWsxkzaKIOWEprJhxdZnI5orG8xl9l9PxkP5eM3ST9z6SQBcR40u6lHL/HoDALCto/oWLBckgsNhQo6Xg1iiTc6oFELcWRGOw6YC6usbyU0V1eZ3ttFYlHPVjVN4qCJc4S8pzLiTDFIPCo5f7qiYtaeNcbOT8DC5IC1a5LS2znULiFLgi7LcUBK2PatzJMohSkrY3vvKMG9hXa8xJQdRsvCsT9fHuCWJ3quSHnpn6zjtKet4r4fzbN4ZMAjd3aYetyOlL7xkUn67YzJ/fYc3rezxy1ft23n/twwG09r4omUJ15R44lX1Pjml+1Mef5Ywh9ebgF+o6uOV9Sb2NbixJU9vrprB1//hubjb3qYh26YYXL3nbzte084rjtjIc9LI12NJP2p7s3/6fq5Z8ihdqnKiKqMaDkuU3HTgnawG6rgbrl5Fbd8vlOAfKwGqyzRg/Nxlfm4SqASuknAXFShHQWlX3IpzG8s+KNQfdK53ZkQhjB0GWr2id2UQeiSCnfJ100CWAOGTBmyTJBVrJWhMxDW+jCFaAhWq4uYb/2IL/3LEd7/Hw0CkXAgGqXl2C+7n3l2Pur0y0z/WNpkMa2SGkWqFZm0GW8/s7ra3cznvqnVxIlD4Cc89I/fYfrRBc75x+ewvzsMYI0eUmu4ESVO6RQk8vdvMFCYuOcVvzV0t59BRdaGUWgrt5mlgrSmODIYsqInF9rZ1s4b5znzmZUlhbWcH+4bC8iYTesspvmMRCtm0gYD7XHGi7Zy84ce5kV/vJ7GhK18jDEcfKTLCdsdQmGBI4t5a14JnSuqFa00n46RzKSNMqvua4+FpEJqFGNeNw/0gn7mlepghYxezYloOf1c/SqlpQbletSNCs945TgwTl9vt52ZXsbswOf+W/o88L4fk/VjVl51Coe/dDebrtrCRX90DkeNYOdHHuAH//wgV7zpJMbrMW/7xlnEQyN89q928cg39/Hijz6JztEBX33jTwD43N89zvmvOMEmZxtcXvq+dex66m1051P+692HeMPbV5IZwUhOfyoAa8U1rI5XDPtlvmYSmyB3Mp8ota3QEaeHFNpSd7JaCTQKRHJc+9HLaX0KTTvHI2TIfA6qywpZG1laODZUzsSQS/PbxCgWtE9oPPr5GKOokJfLdRZBYXm7vABDaSNZTCt0M5+5uMZCXOFIt0mWj3WixOG834341G/ewt4fHuaqq1zuDdczmQwBLIlB5K+XaBctch629gm1W7bUC4rlbFLj9ukNLPYDWtWQdfFevvGbt7Bye4sNz9zO7n61RO72U7sfuolHmP+5cBqKE0XYtcHYzf2TvXZhPGM/vUwhrtdZHKlzc2sYataKdqzSY+N549z9hX1Usy7SMSWzoZv5zMdVHGHP48xIal7Ek8Z3M+J0mYyHqD5hmFvX1bnlPx7lty+050I/8wj7GZ1jA8Y3+WU1bLUYcw2JZUqIAJFxkdiiKpDJMp2KrFwvrsiYUB0rsaztOhpSvXIsWFyFXkRHVxjZPswTT1yJFJrn5c/Vnk3pdDS7bp7la3/3EKMbGlSGPA7ePctr37edJ17VYDpSvPN597H/kQFv/vsJhKu45pGzOTIl+JuXPIhfV7z9K6fzX+/YzY2ft2jsH315ltW/MwwSnvIsn0b1RD70xl3MHw45dOcUm84dLfFE5ai2KDyMYvFn3PY/d0AuWpyh8VBaM+Z2y2w10k7eorStnULZRxmDhlx8QZJkkl7mE2UO/cwrNVdTx1aI/cTLDd6txaPRIkdiLrko6VSUC9cqN1lN1sBNkFLTzzmqOs2FBYrH6XwxKwNCkEpTepMCmESx5vSr2P+jz3LdTWdz5RPnCI3LTNIgkAl9bStZbQQNPyQQCX08UqPyeZCgnQbUczQn5K35TFKrRMx/5SaO3bCH0992FZWTNxJlFjkeJQ5Z/rhcDMqiU5XJP58GnR95hawkuX+szFWvBoC0Tknah6zr0k082klA54jNNAeyQjsLSsCWL5MSaFEjOk5NragUEi1Zf94EN3/oYebmoTLm44mU66+Z5vPvfIxn/eEmnvLasfyAWloLi6JaKg8VFcZiWinvYTsNlgGE6lRkQjfzSmpaMaIIUwdPZYz7XVb47VKIor4suBVVV6QdIhxSTzGbDhOfOsK2j52D0QapYOKVV9Ay8xya7HLvV/fz4Put1+v177WGIXd9b55Xf3SU/TcdRmeGvdfv57I/PIVt9zyPmce7VFsux5KADGEDlg9/95OLefQHk4xvrjOdBqWgiN0vS+IDPz3j/GW/Euw6aKgIV9mKpgDqFTO+ohWZSFW2IIuqEux5sd6ZK+ejQBnEPJmWVVJoXMLUzTnf9nmO6dbSv+eH3E8n92DXaTFn7ZWgM1nSHIszJcytXcPIJTxaxZtXqBCSBty4/umMnHWQ9/7tPJdfOsRVtb3Maskj8Qp2RysodMyXH7KZsV1Cq/1uyhHOQlJhst9keqFOOl1hUJc88nc/AiW56L3PYl/aJIwcekmeYOSJQfFZCju/JLWiOtLJyGqC2DXEI9A31llKJgKnbw00/AWozBqa+1IOXOmTDqcsRgEzkzFCitwQZYG+9oi0y3RcLytxT2ZUKz3G/Y7VaMjPuZ72WXfuBAuPTC199izjky/7Ie19C7zqa09nxUarYuWLpEyIoryz6csUV+pSmawAdhbz/o4O6Gd+nmgnhMo+LstlVI8lrRJMt5yZkyHoZgH9zDtO8lIjmK9WaXsBQ8/ewm8950wL0MNgtOHYgZBbJzO++PobOfaITej/8U+tRvbLGcdfN8b8Efvz+x5zedrbzuJZbx0wvbvD2pMaTKdpya658CkNzr71VG777hynnu6QiqRct5mQOUDWKQF0kf4FtKxXOfM0vKLVFJMJQdWNyYxgJm1SVeI49assBw8VvxeZTi/zGWQu3cRnMQpK1PSCMHQjz1orGpaqRGmQAjJjbPtW2J8ZIxCYkt/Y7QU4bkbFT2jWB8SJQ5pJ4tjOX3UqoZLZ5zDSzpeVFZjQnvUUTquCykVn49zxTa55zxHUCRdw6cQ+Tg0OcjgZ4aFsDciMQeaxJ5zIBfPjnAoiGXV7dDOf6bjOkDtgTHVZHcyzZmgRbQSPfedeVpy3hpFLttNP8vlLjhgvLpO34nUm7Xs2S4mHkGB8DUpg8qCcOIIsEXgL1m1GZRCNWl/Ug4tDVJ2EH39gFydeOMSWy9fR0S4zSb1sxVVVTF96zGU1GjJklbfA4+EYGmHbb0mVKJfZW1gw+EmDo7s6fP6djwHwg08f4eTfOKvkEReVxGxSQxvJiLc0aywUmwoXqoKmNhdViTNVIm8zLWn4IVIYOlHAIHHYL4cZr3VZV1ugpiKaTljev32DMRbjSvl8/dRlqtOgO10DYZB+hhukDG66j3v+5etLG2DFCGv/6pWYRx5m/799l9op63mwu5o0D0Y3f3w3a09ucM7Tx2meYNGTgbRSinNxjUHm2gTsCaOM+LNE/ZB3/+aDPP8tm9l2eo2GGpTzUZcUT/7qSGeuCiztyZMJjrBVZzEnlULnremlpJNClCfvlBXzYykNDRGSiaW5cXHpssq1QbwEv8mkRNpKYUqQE3Bcq7RYc4X5SeHIY9+TIMwcwtTNFePyjlsmyzNDJtadKTxaxb3iCo69+z/5p/8c5/dfC8MqZos7zf54jMXMJxGqRFcX76NISnqZS2YErtB2/GRsQYE0RI8fYeHRac776ytJqw36iUs/8Rjk+18Ig8T6xBeXFIbAS3BURiwdYmXQniydzFLfamGnNUkWSNxF6yzVXevh9kD7ivl9bfZcf4DL334eFd+2jiPt2mCWmyRIYfBkRssd4ApNop0ycXJkhl+V9BateY9jUn78iT209y0A8Nj3jzD+6q0ARMYrhWMGmWeFMYy0zdocSGblQaNyvSymVbq5YJMVPbIUyGLktZhVSLTCldZRqa9t4dNNPTppQKoVgUpK4RGNZCGp2mRApRgUQmakqeG/f+1aFvcuoazPe9U2fu8PfP7qZbvZ99CAiXPXsvfBJTrUB6/+Ea/7wbMZHg1onVSjJzRS2zVcjCqywOei59l7de+P57n+44d480e34Tpp3i02kCchqfgFgLruC9fTcGVeRVnFmSJzirRbqlEVc1WZVxFVadGYBSKzqQYcjZv0Uw8hDJ5KMUbQjgJbERtKFPFyR3eldNnegmUt7OKXEaRG0MskQ/U+mRZ282EDuHI1WSwRhfi8EWgNQuWPSXOx+qZk/Hkv5OgXPs0Hnvl9jr5xLec8dy1bK9NsDqZ4uLeagXaZ7I4SZg5NL+LkxmTZHajKmJ7wORo2OTIYouUO2NKYoZMGkGWsOnmI0SCknwRk2gZjJYxtSytK8QUhrVcsRmDyZMQIgcg3Oq6AxHoYZwGErrV6dLvWNUo4ml7fZ3/oMPXgLOe98yz2xxNUVcx8WmWQubjCBlyAQeayIuiUIApXZoTaRbQXeehLuxBS4I42uOYP7+TR70+ixobIZhbozUYsJBV6qV8qF0lhylZcLwfxOUIfBygpPEOLxxd0rSSfxS2EFWpeTOAkua6x4GA8RDf2Gav0WFVZtIeIkczHVbqJx3SvztzhljWniCW1g9ZQIBxWHPj4x4ge3Yuq1amddxaDR3cx+uLnYyorieoLAOz84mPMByuIFiPql5xJ98f3cNMnH+fkp65lgz9TUsWk0awN5kmMYjquM5fU6GY+C0dCdt91Cx9/1xGe9tFn4suUTdVp+pnPsTmHL776up9ny/0/vfYfsF2Dmoxwfqq4LyrG1e48VRmx0mnTFDFSQF8rprJ6Kcuqcg5tIJIysBZYgKLisMhf97igWxzeBY2knQZlwj/IbfrmInsAx5lleDg5RznVhe66KveYMYIkccjyxDwZEmhXUpmGVTdpvLkTUEOn8Pm/38l9N47wwj9az5mnwenBARZ0lR8vbreJVS7GoXOEtc5nm00nRBvJrK6RaonvJ/TrCo7Zw9hZN8FCFJSFhsXAAAiEWKJRCpGbHUjrBeAoje+lZTKhtSBLrR+8aIJYk9Lvu5i+Q2+gcLrgdgST9x1AeYqtl69jJsmYjGzHQQor2lEEOif38F1IKszENdZUFqnKmNkHp9hz8zFqEzV2Pab5wuuvZf5ISG3LOL090+z7wX7OedV2XLnkEpcYWTo01aTV566quASCAXSywLJF8k7Zgq7iq5SpuMGRwVBpY1hcShgckXGwN1yCXQsKK8B4pYdbsefA0UEjVwCzNonN3lH+++lW/7t25lakAqRg3Wsu41F1jPr2Hjy0l2veeDejJ1kQY/Oqi2l/90bu/PY0Z7zYsmAKt8HlLmVKGEbdDoFI2XfvEXbe3Ob2rx/j/OetBnJ0uVHsv/EAn/n9u3+mPfdzBeR7FjfQMjDmd22bNW/VVFXCqNspq+JOWitnOCO5Gk43C/LqIsHNSfp1FXFQDZetk4YX0U/t/KEb+UR5hQtL1bLMK2NjluarVujLBm+jc7Rv5OUtb1FWmUVruwjyFiRVtLJtG1sHgITq6TtYs+nNzH3zm3zhL+/nxu/HXPZ3T+LykUc4qXaEnb01dBLftsBSl/VVnzX+Qp6g1Epxgn5q28Y7WpOM9I7QnezRXNe0sn1eRJTZNlqa2QOkSCAMeeYsDcbY5KFAV+tU5lW+bVkLLUAL+7uwNm+VSUk88HC2dJmbygE5FRdfpmWVkmoFkpLAf6g9xi37NyKlYbTZo+5FdG7fxZ1vvw6jDdtf/0QOD1o8+v1Jhp90MqOvfja7X/n3rDtvhZ2fm0KT127yuqtzL2av5EsvN/cGlgXopZ/5KrVoTaVKzIHnpnk7X9AeBBYNWp+hKmPaqW2bDVKX7sCnttfB5N+1SHPQ3t17iB61ovtnPPlNxFuGMGfYzoh4GILKqah3vZXZa77Evn+9FoDRs57KhrOaPPi+G9j5qCLZtsK+jvao5HNFO//S9FKf2ahGvzHGmqvPoFpXdFMfrQSLaZVjUYMvvOZb9Pb+CtGeRmwiNZW0UIlftg6LtvEqd54h1UPm9Jk2nnXdRJOgcuCURd43VUicy4t2dECSa4cjKRP6ULuky5DXBZq7KmNC7VJRSXnu5A0MtBHM9W1CqaTVPneXC4OoDCHsupGOIfMkqZIkBnQdUk8yEA5uV6E9wY4NV+NfeB6P3/1F/uYF93HuXz+VP3jRHOOqzSm1Q/xkcSvaCGpO4XhnA9yQO8DP0dgrgjZeDnTsV0Me/9F+kILKqhZpHkgCJ5+V66VMJ07tqMZ2xGznDnIcgszQsgjgEpMXJzqRxKmL8jKMqzF1Qdx07OMeClGepOZnPNZdwWS/wbr6Ai13wAq/XSp+ASwmFSZ7TTqxj0lTHvv3G7jnc3tpra1z5psv4d5vPsr8kZDL33c5g57h5j//Ple++RRG3V5JZQN7pihhqKmIljMox0ozSYNB5rKQVKk5EVWVlECzSDssJBUO91vM9GpocgUylVHLEeT91KUb+6SZZLFfIfCWAvaGxjwVFZOkAYthhZnFGlIaAj9h8l9/aNdCNeCkv3lh7jwniMw8j/dH2fqmK+mcPMuh93+Ho3cdJdi+gaHnP4vs8T3s/vZetjz/lJLx4xVCJ1gt7gm/YxNEIXjOa1dy34/maKwbYi6rM5/WmI3rzB7o8Nk3/GzBGH7OgPzI1DhDmYBhcvlDm5UkWnI0apXZazE/XdQVqsoCK2TOMUqMgjwzbjkDxprdsvXTz7ySKD8VNZiLqkz16iWwqxD3ALOsejYYaQMvZYtbkySOncGKJZpQEZTNcn2hIqhLSq6ydg3SCCr+GKtf9CpmVl/L0W9fyx2ffAmTL2xxYmuqpA/0Yo8skxzoj5AYRdMJSY2iriL8IEVVDFFuMPHYjyxAYPicDaRGsrLaoR0HluYkXHRqK/osn5sbY3V6j3uvgFQWZQmgtWPR48qgtW1b2b0h8GcFkW6QBhW8Deu48cOPcsLlaxFClPzvdlKh7lgj7WPtBlmiSFNJXAs58sM9PPSubzNy7ka2v+VpUK8zFy0AsPmCMYa697MbuPgNJ1ORCTU/+h/6rrZS9sq5WEGvAMqqxhMZqZHlQi841OX8MHXtLEhamHmmBd3ItweVMFRUjCdTKk5CqzpgdkUNb1FAJ6J95FF6jz5Eb9cj+PVRTr/k9xi67jFEtYrp9wmffDrxkKI/LjFj47i/89sMDj2GkAHO0ASLlfMR7k187XXf55y3XcHY6asAqLsRXu6fvBhXaCc+M3cfYvHBSbb9zhMxjsfsQDBNjYfmVpCkiur5pyDGj9K99eGfZ9v9P7vGGpsBeLQ3gUPAkNunoixyfMzpUJMRC1nNAqfINenJSLDAqqYKy0qi6CxAXjlI6Gc+R6NWybEFykS2qpZAYlUZMeJ0y3ZxwfEMjYMSxmpl5yAitWx9KWFpSa7M8u5ZLqWbKowWZBIyZUhTQTiqcEKB2L2fE4/WCF7yZ+z+wr9w/6ce5o6nX8CY22W9N0PTCZmJa/RSv1ShsgltwnxO9Sz2/rDXp5867L57J+Onr2S4nhHrsGyp192YMHNyEwb7WTuxT6IVcd4lM4ayuneUFVhJ0tw6sDgPtSDtqdJ/XLYd0LDi4s3MfvHH3PFfewmeuwGJKTtYxUxWG8FiUmEhruA7KSuqXW7/8+/x+I8P8YQ/OZctV5+EVJKFO32kI9hyVovb//l2RtZVWXH6ON3MjiEaKmRjMJNrTVRLnEekXQ5HQ0wOWuW+rqiYbuqVRiMzYc1SWGMPz7HVej92MbFrg6+bUPcj3BwNniWKgRa4bko9iFkV2OIu0g792CV8qE9058MMHt9N78GdNC++mIk3PBlHhdT9iCE/xJMZ9x5bQ2ehSiC3seovziDc/yD109aivQzv1LOY/8I3ue6Pf8S5f3YpftNDospiA5ZGFrf8x2OceAK85Qvn0Nc+U3Gd2aRGpB2Cps/WS1ez+awG17330f/PPffzSWf6KVEasLc9yupam1G/S9MJqauofHMLSYVd3Ym8co4ZcgfUnKjkMIJtbYRYhaiqjGnlAJhJhkqFkwm/w5jXxRGamUGNQeIuC8j2EsJWy0XrJ83UUiUMZSVcBmTsvwlj0Egr55cJSAVklAEdIGc4IBMIztkO376Wxn0L7D17PfUTY6Qw+ColdRSLccCB9hCO0PhVa6o+yKXf6k7MuNdBDAZ8492PcOqTRzl/6yJHIzgyGKLuRgQqZTIHPiilcXSGFnlryhjLPybPmM3xAifCy820MwmZQAvAMfbQEeB1IKtKRp72dI5+6MN8/csZp1y1qjQf10awpz1KywvJtMSrJDhKM4hcpu6z+tDDv/tSprWP288QN1p5SXe0zuHv7aK1usroKRN0MsuzXRUsllXMTFw/jmdeBODlrUWgrJDlssO1+HtRQShp8JW973Fq79V0VGfI7dsMO7YCKkoatNLs/9SHCPda/1Q13KR61mYaT7uSOd2kd/I5+AvgtzW1L9yKBwxNjDN3xVY6GyRi1YkwEZK2M4YfXUnw8j9mz2f+mZ/87pc5+4MvI9i6mplBrXz/Q4EFghy88TDTX7mVPf/xE879/OtRrYbVeBYG5aZsfMUFpL2Ie17wqxGQDw+sbvNy/fPiKkRehlSvtJosZo+F1Wkhh+gKa39atKr7ORBqPq2Ws99AJbhCl4miNgKJxjeqPCcacmCFNrLA0uSMQldm6KUeM2GtDHTLtZGLq5jTSqxwkO2W2T8bJx/5jAjCJ+2gcqjD2tti2sFWpuYeYZC5hKoYxdjgGWvHmiewpKcQa4eYpeTClyl7rt3FzL2TXPr3l1J1YmTmlvQo64JkyuSzOOhTIxlIt2zNan38mSelzouNpXPNaGwXLfeIFgaCTSvZdtUG7rpmFxddfj6qaoGcBaCyMJeoOfm+ysFYR+6eor6iygkv2EGsHTxSHr32AF7DJxEuD39vkoteugEhrJGI1pKqikpBFZXPeyPt0s88ZqM67diujbprxTQ0gn7qE2YOg3zGX3w+V2qEsOe9NoIwcXGUpu5FaFfQKeRXBQxX+lRydkb7SJcHnv3XFG3QYMVaRp/yNBpXXYYX9EpsDsBCHNBZqCBnXSozINMK8uQzcVoD4gG0zn8Sjtdk+r+u4dpn7OJp1/8OTlXg5MYZCKiriKbs861/2sW3gAuu7vD8vzkt/w6VFbqqtbjsHy+nEi3+/z8gK6ERShOm1p0HoO7YmzHmdkqXogLpuBBX6KY+gUroeT6rg3m0kSWFCCgBXwWRPNFOPuC3Sj4ba3N4KmMhCmiHQT5rsZrUapnHZpEh6wKJjK2EBXmVnKOui+pYKp1XobKcJy9zJsMog1FW7F73bMLgOBXkQFpvz3wzeI71AR5ELtODGoFKysy5amIe//Ehdn55D4/+6BhSCZ78hhNpqQFBYEEPC0kFJIwGfY5lDcLYLecjQoLQS72rwiGnbL0DAlM+XhfoayPsDDW1n8mfkZiTtlLdcAL7r7mDzZc/v/zeigA3m9Wo+AlxYoOmkIbaWduY/dptdO8/QPXM7cQ9l2T3HMpTtM7ZzP3v/gEnPWM9cV75pPnn0UaWIifaCOtHK+RxbetUyzIoR8nSXMii85dkToEyKAfYCshRGWmmONAdohvk6yvxCBOXQewSHzpcBuNV7/h9Rk5t4gd2rXQGHbpHqySzimxKUrnkTNz79pJOTdPctwZEhbQqiAvsgYFqYwXrf+eN7P+3d3P3732WC772ByTCzjqFgNl+DVdlbHzVE+jdu5v+vhkW7z3A+GUn2YC8bA+ZZRXcL/tV8G5rToyjoJt5dDPPAm+8AoE9IEMwnTat01fuUgSUSOeCogb2sC6U4ubjKv3Uw5MZWmb4Koa8w9JJg7IKXUiq9AOP1W4xErJnRI2IIdWnKmPuV2voJgFhbv9ZzJHLeW2ug6+kwcnpOQX2BAFpzaAdQTDr4HYCVCdG7z2AN1bhkYUVMAQjTpNB5pWmG1LovM0u6WUe3cRqXpt2l6nvPcj+6/cy9eAs49uH2X75agLVw5cpg9x8J17eScoD8pjXY6Bdeql9nTBzmB9UlzzEiy4gtlNWqBKKIminAj2cgDT0Y4/hlz6FR7/zcY5c/whbXnBaCSDtpj6psuYIlVxxzIqE1KiuH2H+gUnmopplaYQBM/u61C88hYdu7xF2UrZdsRaAljOgcKZTQtOQAxpqwKF4lMPxMLOxHScUHulVx3ZMo8xjLqowSO15J/NZeZGc1LyYbuQhjKA/sL7YpmaZLaevOsKu+TGMsbiUY1GT+bjKtW/8EgDDz7uE2mUXIoMRe0+ClKHqgPYg4NhMk/Zwz+J0QoVxDFoJgjnIAoUZA+Vq0mFN/eyzifvHWPzK93noI7ey43cvJhaKdbV5qiphwmuz0m3zrq+dwl88Zyd3f3eKp/65ZJYak/2m5XjLDOkbpP7ZQu3PFZAFEDhpGQhnwioLccDqapvhZo+WGjCieoy5HbpZwGJaYS6xhgiJkXTTgLoTssqdp6lCJJojybBtZZmc7yfjEnG5QiziBhkn1Swy8HA0RDu1CMHj5pDYzdfN6VL9xGMQW1pEtmwGbYo5rBE2oxQglMZ4gM75yAOF8SyQSnsG7UL66CwIyfCRjMV5yWxogSSuzGh5ITU35ki7yVy/SqIVVTemmna59i0/YPLuKUa2DnHaq05j7Nz1zK5ZwePhIi1nwLpgjpW+FQ7oZj5rqgvMRnXum1y9THsbkBpTtLHzA0Qqnb9/YzvZefAyAoikTSZiyKqWDtV8XLGwfT3RbbezEFaQgSmBVytqnXKW28t1wY/dc4xjH/wGAP6wb+fwmURv2koW38vtf/Zd+rMhJ126glG3V4pCzMbVUtO4m9M6xoIeLW9gsQH5IfvTiNhetEQBKWbFAK6T4eSm82HqoLUgcO0a3HdonH2RAlfTGOmTZpJBJyA8/AAAq9/5FsbPcmkGIYPYZWNrnpUr2shNmqmowePtEfZtmcC5cgcqhBV3JIzcOYMKRzmyVkA1o7daUTsMI9EK+r/xCqb/89M8+BdfYcPbXooRdiziOhlkChUIzvjwq8l6A2S1CNim7EYAZL9CAdnLQTg1FSHVklFLpK0wRzcLOJIMIzEciEeZjesWO6CikoamhCYSx0vfFvS0IrCBdQQrgr3VjNalU1BF2apqIW8Jg9WmL1SQqjJiU2WWrudzOByiHQdL3Red2xzmKOui/Vu6x+WYEpE7TUUtQTzkYUY8+vd2qVY3sBBawOJcWqOXeVSdmDhzbCJhtB235JXu7P1HuOOt3yLpJmy+bC1bnrSak593Av0sINR21rycHZBhXdKizCllMSV2zYz4vXIsM9uvWXqoFqVef9k5SwUklhIqMoGccTEOREFKNLQCd7RBONWj6sSEmXtcwtJPvXJ9CjRzX/4J8w9MUl3TKnnRShqqJ62jf99uHtm3h8aqKv7mFbScji0uRJKr8VnjoSHZR3mWAirRHDNLFp1OgbkwgsWwUu7/4n4MEhcldXleGyNw3YwkUfRjl0wLVlfbnLfiANNRnaO9BvvmRixve96CAEdfcjlZKtFpRqM1oFUd0PJC5nsV5KTPXNuFegquwQhNb51VbZSJIF70qQyF1Goh2ahkZOWTSPfuY/8X7qW1aYRtz9lWYqasG1XMth0en3zoHHqRwxEVMNupE2tF1bHFWWpkCXz7/7p+roCcIUpOqKtsVtRPPB6dn2DI7dN0wtICrEBVT3jtErCRGEU3DZgRTfraL80I0LlWcS4YUHAYCyRmIBNWufOMOZ1S87YgXve1x6FwmNmoRi9ecmUZrfVKLmshMmJ/2bZ2lln6gE4lJrWAKGFyfnJqWz/W5g3SqVmqskG2ZpRoQ8xCv4Ixgs0js3gyY2XQZkNtjtmozlxUoeokHP7CXRy7f4YL3vdcaqdtwFcaR2qODmwbJ1DW6amiEuo5ACLRilG3x+jGLof7Q8wMaiz0rR2cNgZQLKezCWHfv62mRc5ZzjDKkElLk1A9C2hTMXibN5Bd+326++cJttQZCQZUnYRj/TpKapvFujFVJ+Ge932N6Gibs//2GfjnjNCNegxCD33CqQSn3k/7/v1se9EOVp4xQVWF+CZlPq1SVzED4aIzF09l5WFbmKA7wkosdmKfMDeoj1JlOwNaWFlAYXnrJk+oCvCLkprA0SRaMr9YJ6jHxK6D7rp0jjSQrRjlp/RvuweAzg9uYvysy5jv2Sx9f3uYWCs21mbtgRf0ybbPMIhdBqHLwVYVb2GcLIDqYx791RnpyohB4uO2Ybh2JrzOZfqDH2fwyAEqJ286vm1oBBoQVZuw6Swfq+QdDmukcLzc6C/zVXXXAeQ0p4wURWoUrtBl4CyCZKgt/SvOqSijXh8nZ2AU1BUgT84tXakd2+Ss6iR4ebemmMs7IqPuWOBcVcUlnx04Tk5R5+dFIS5RAG+KZK/QVzZ5ZZjlLA4hTNkl08qg3Zx14YKMNcaVDOhSHRsnTnJ8ixGlR/eI289Vr5auikr40T/+gJENDa54z6XUx4IlRbPMJiS9dElMw9oRhjZBEQ7ttFJSBiEHSKmUuhPTc728c7QkhrQcC2Njat79SwWkkKU2ELROXsXsvYfw5Bk2WWZpRKSNoJ+5OFKTPX6Uu//tdoa3DnPGXz+z/HchDOtefC773vstdKq59E/OwpOaQKQMqT41GZUGGQUPvfBuL3wIZE5PLWawUhjCxCn3dbGPbIteHcfNdpQu30dBDas5EYmRTPXrRKGHzgTJjAVMRkclomYNLGp+TMOzALxWNWSy0kCGEh1IO3MHssBYQK9nVRyzTCJ9g+tY2ln1HS/j8Hu/xO5P3s4TXryKugpLgaLi8l0YSA8dibIyLvAyYebSS5c8G/5v188nnenGSFfmczFN4OSSiVJyaDDMsNenkWd/lnMWM+Z0CFRCXdkWdJKbRgBWajJtlJu0quLSvaWwdcyM3VR945fi/Z6w8ooLWZV+LvY+4vZwhLa8w8wqXrkFHcEPy+A83a2XM5nMKKTSaEdAnGebOXpZGNAK8DTpgaOI1RP0VvtsXDtJJ/ZZXW+zqrLIYlJhKmow6ncZ9volXP/Bgz0qEzXGzlpLrJdaZkGuaRpmbtmuC5R1TPKllQuc8DoMO33mq1Wmaw3mogoLYaVEnKd5piyEIU0VWapKwRSpDEZkaFegpUZoSJRAe4JGcgIzgc/+T9xM8+1P42ivwcbmHKcOT+YgugpR5tDuCHrHumx6yVmseMJmeklmRQoShWxI1vzFK1g7usBopU/PtIljl5m4nn8mtxwjhDmC3FX2c44FPVYGi7ZdV3GY7DdZiCqEuQ2mKGZ/JWAv/6MRNIOBVYBSGXP9KsZA1HeRrqYy1qc/W0UveFDLGHnZlUy+4yOIimGQ64DrVNJTPr3Io5t4BCrFkZrhSp+ap+h5PtMrFYOai9ORhJtDPC9DCEO8wZAIMG0Xf2gdSIF+/BDVM9aW7zvTkjhbak4vH2u40j4PClzvV4eHvKtjD7ipuEHguTkIx440EiOpq5CIAiRkK9l20rTzfO1QUzagFlgKoLRSHWReSUvqJ1aPvuIkpV/xhN+xs0Fj921Bm7Lsjci6gxnrNBeIpETzFnveVlvecd9J0XkpArRyLMUoNaArEpQgqUtkZkgWZomJqMkhar59H3cvrCNQKU03pOZEVERc2u8lWtHrGwYzfU66ciutMZ8kTwJ8mZaUqMTkXFkENRWhXKtoB3ad9DOPLj6y4OintiJvuJHFrOR0rm7kW3CXFmSugRhkuFRUiEzAsYCjqYQdp7Hwoy9w//em2XrpGjyZUXcihtwBiZFMRw3iTNGbtO/j0r++GLW+RqwTksxW78NnrGPVNa9hyA8Z9ztIMaBwh7PmClaRzWp6W9bDcp52cRUguHG/S82PaQ+WaGDLg3Lxd99J8ZyMJFOlo1TNifJxmKTuRUyMtGkPAryNq4gfn0TMxIiWQkhdgvwcqVnfWCDerJh/bBTvsEs8llkMkWBJWllAlkgGkYvnZEw0OnZvn7GSXT9+iGyhSziWU3zzjkBiHOZSK5WaIRny+rSTSjma6yUeM4PjMQ3/p+vnCshjlT4i0CVaruokVJ2EfuoSZ4pjgwaJb9uVcY4sHvaauMLC21d5iyQsSfKBlXAr/CMXkipTskHTCWk5dm5b0AoUhn7sl7KdE06bUaeLl2Ucii3CueUNCDLH2ojl7bBYKwZaEib2PQ5VrVPJ5GLTZsjStn21kwtw4Fg1r1SAq8HXDPbvofWMKzj6BHDmhkj6LoudCvX1kZ2JuwOGHatgtKc7zoFbDrPnG4+x5qUXMjOoUfcscCvV8qeoQbbd1U4Cwswts/txv5t3F6zu9+qKnasd7g+xGAcsDgK0sBKbBR+xyI5NAWrLEZfat4FA+wY18Bm/+gVMffa/6N+xmc2Xri1be5tqM2yrZ+zrjnD9W69DKMnKy06wh4KRjNT7dN2Mbs/HcTSuWnJ7mYnqLERWlKMAZ2gsOT8Dksz+PMwc+r5HPdcub3pW+KPphyyEFYuQzCvlomUvjdUxjlOHwEksbQrbxjJGkIUOgzkfUc0Qgd18wYkbqJ29jcE9D5MmT1/G54Z+x+dgMozr2lZ4nDikqSIZuFb/HEhGU2qVGM/NqPsRWT1PhEYkMouZdCWjXoctQzOEmWslDrViblAtkyYlLEDPlTl1w0lxhCYzvzrSmfORPVgfmltJNVNU8hZc0e70Zcpqf7HEIgy5AyoqKY1SZBkcLROj6YQ0VcZ0bPf/IHGXyeJCV/gsKmvPGNcdVgeLVFRMXYb5QZ/vHSyPNkOV+tbF7NqXad5KFlTcGLB+6svpRVIYyCstIzVCGmIjyDxJkgraGzySHz8OQPakE8lMxlS/jqdSOrFPO7YYmcIGUgmrWPjdv92JzjSnXz5OzYmsEp1epvOcZ5mdnK+/KColI6EAnBVAq6pK6KYWKOnIDO3bua+9n4KWFxJrxaxbYxGbVIBC9SUis8p9MgUx7VHbdB7dk3ey859+RP30V1JvSDbVu4x7nVKYpX1gkevefgMTO0aJV67FzRNiPy+6inOrn7oMHI+6ExNpl0k9zGJWZYW7SOHoZ7sAtnpWnq1uD2pLb3WFFY3RCFbX20TpErVVSUOm88CsraCM52RMVLulx32cWeyBvfe6HBW4Tsbmd7yER179r7QfuInx056Ue2fbrlxBtxwKBnTW9pA767QeVogMuuvsngcLknU8uwal1Az5IWHq0Bqy9ylJJDNxnV7qs9pdsN9nrnxY4JjaSYW5sFKOSgaJi5v8AoRBApUglIOW9s15MiXIZ2SxVsSZnRE6OQ0CA7NRvWxF1ZU1JyjAX8VlKwm9JMhtBFNxk1QrKrlBReEikmGr8+UuL9Uc8m5J7xa0UXdz16i8WvZMajd95OGpjFY1ZKFXyUeveWamBSbQlpOcyHweO8AkKXKoiruyT5YqhKNp1i10PswsoGOFMNRVH/PoHu77mxsZPnMdG171BDIt6C+ryKQxyz4zJbUnNRJy5GY7CSzCVC61RKQwrKq0y8+VZAqlNH1j+dbZcq51/pmEAmNM+aPUywiecDr+nbfw4PtuYO1FL6VZsxlnVcZEieC2f7yFqTsOcerfPx9/6xpAMxr0LfcyN4KPc9cZJ29dgs1Aiy5ACXiTWX6PLGhLa1E6WfnVghbiEacKV2VUXCuVmmlRCsMUwbkfL/PN1rZN77i28kxSgVp00I6xcyE/o/aEM+n96+dIDk7irFltRVW0QPcS+vfuJ3p0N4OH95It9vA3raF29jnUTt6BztvsaaqOmzVWvRhXZSS7D5JFGZvPaLIqsBXksbBRHliD1C3bbUVlLPM94skUoY53kfllvsa8lQB0I59eOyh/LoQh8FLmg1rpe1vQ2oq2cSGXCJTz48IopqJiMgQ1L2ZxEOApS2fKdA7oyyRzoaVMJkZSVbGlvOUyirDkqxsWylPZknZw0aWKtQJiHK2IEieXArXfp9WHsKCoNMvQmSDFQXuG3ipJbyyBXWBW1BhEAzItaFU0w/6Aflp0t6yUYqIlt3zgfu7+xiQveNcpbDklIDF9UqNY0n6y1qFpDuaKMwXKMk76mVeecVDo/5tSM8AVGTUnKvcX2HZ2QFre99DNiAOHJHBRfWs3Czk4VQqGX/lsjvzpuznyXzdz2hsuPO577kx2+e4bf0Rt1OfZH3oKexOfJNX/A62eaYlUafmzwkCir33m0nopXxkbpzSMKTqlNSdGJ0vyylIYmu7AFiVlEqtB5oh+DZ7K8HKv7Vg4zEcVMi3pOj41J7aFntAkOXvDH61RPX0Lg3sfpPqaC0vKGEDn4CKTDy0wf/s+Fh8+iokVjfXbGT3ziWS1YVQtBKNQrkYtU0wrwKfzDx6juapKa4VHLx87JblccukwJqwQhjaWlhkmbtk9S5NfQMt6xO0hfTs7dvIAuVzGrtAgbjhhSXcp5kppoTOsHSr5hikWU4HGrOTctcQopqIGqVZUnYiKsl9s0wnzmZAsASOZkYyoHg0Z0nIGLKYV2mnAIJ/5VPNWWaBS+sqlF/tk+WIdb3YtCCx2l2ZLdtxIkirivovMffcqzZih+oAoVQixlDme6B/kwWsn2XvONkQsuP4t32ZsTcAz33s2B2VErIsWtUPdjUuUMVCCKWTOq46NyhMbh17m0XBC6jklwcXO7Sv54i5QzPsWR4hSSz1IM1m2fbSWdvacyZLeIaVBa0HlzBNY+PxeHrjD4M8cpTZ7hMGRBWZ2LTC7r8Mz3n4mw5cOMRdZ9HIfym7ImsZiOZ9rJwG+SnFkRtMNibVDKAvdWhuEisOxndh10EusOtuu9jhnjhzmpOZRZuI6+zojSMeUCOpES+LEKYF5ac7P7udUCKMtQK9ei9CVmMVjDTtHSwSq4yGFRVgOHmuj5iF8eDeYjM51N6H7IapeJ9i6lcqKjSz+5Eb6dzxAe+UaoqOH2fCq36cebKS9CaK1A3QmWXA09UqHve+6lvrKKiMnTZDoJQQvwJAX0vSiZetaECcGPYiRTSt4ouTPpmn7y3Dt6y4A4LspwktLBb00k3QHPjuTlbTcASOeHTP5y8zmLdNCLSXi+aw31C51FVFVMRvqAYdEi0Hi4cn/KZTRzdkaYClEE16HqsisU1xmhUU6OqCTBQy0lzuNSXyV5jgEQV+4OFrnZjRLwUXm7AspDIGT4qmMpKboVzz6QUB/NSAE2tEMpmoMhKHbCqitmmIs6CMOHeLY0QHp2evZ/Z293PrBx3nKG7ZyyrM30s0sp74iYxyRlahqsAyROO8W2VmjTzc/39zctNsRWWlWUczbKzl7Y5C5JV2ouDc1LyZJFUE1RtUjBqFrNfzTJQ3/5uoK082AvZ+9hxOfvpGf3HoY1esyv3eBw3dNUxn2eOEHLiZ0G2SRLBOq5S3+2Di5qIk1hZlw2+V7nMtqBDl4D2yw6hqbxNVVyJjXpaYiFpJqSbmqq5iTRo5xoDuUg8d0mfR3Y790+XOExnMiuq7HIHU50m0SZg5jQY+6GzEt6tYdL1WIao3o7sfo9RTJ7fewODNDemyew9+1VENv3QSVUzajeyFzN97A3J034I5PkPU7rP/wX5JGCp1JsrYLqeCIyqjtfoA9X97Jeb9+gsU35IlTqF2qTkxVxIy5HebTmuXfuyFm4JEJ9//X3pvHa3aU953fqrO8y92X3ne11JJakhESEkIIMEgICTDYxonjxBjHwZiBGcdDiEOSGRNngokxsScZG8c2CTF2HIyN7WBMDJhNQjIgCQQS2lpS7+vtvut73+UsVfNHLee8770tdQvJupLO79P9ue973rNU1amqZ38eNIY+5skz4GVdkxmR3WBdreClvO7tNUtZjVZa44wcYjw29XJrMqNhpYKJyCxcFzieW+43VaY26XJW8wWvTzPsN3OlBSlmYiKNh2VuExGUQyzc/QCmomUvYZqYOJPzdj5t0M5j5nt1enlIGOSM1JUPxHeu90kWkNYT5r/wLTOhr9xBHGY0o4TlJKadGI7n4N2z/Nm/+jZgHImG1jd53YdewbopkOmsJ5yLNiQjlrmXch1BTlTAYlIvYhKliQmcyUc42TUxmqFV+4NJ0TcUGHV5fTKlldXoZqHPcuYWUWI9Sx0CacMkrtnG/Cfh4C/+jpmkEw1UqhjfM82rPnIjtcs30s5hU3OR8cjUQV3OaiznMaOR6ku55+aFy2G9lNb78nIrjCPMhsCox5ZKoSkPL65nNO4yFCTsHjnDch77VIhKC9LYMHJZHtCxdmYtBUkakiuBzgLaWjA53Ka5bZaZ+WFUKsmHBcn9JwA487H/gc4yRBQhZEA4Pc26n/8HxBs2GVubEky85U2c+M3fprvfZPI6+N/+E1M/82FUHWSoqDVSep2Iub++h/bxRa7+7Z/k4c40smvMDh3LCZftxs0wJZY5j3706zz08Xt50S++mot/eA/jfTLT2oZ7i6YAgbHfNyNnF9Z0sojjnVFSLdkzdNJrvVIdoGqC2XSITAUMxz2aNldBz1YCC4BN9QUT1pQ0fIREwzI0gPcFkUIjow5LtqDFaqUXQ5EjEfSEmRuRzJmI24xGwsQI10IW0xpLNh62nM9AaUEjThkWPephxrzUnPzet6lfshMxHFA7ESBTSJYCDtYmaNRSDv/7v2TmW8f8PXbdsptrf/ZyEi08Y1JOkhNg8hY4L+tOHjNnQ4ISFaKEoCa7NvtX4aEeWBVvT0d+bzQCzbDXSgqhGan3TC74LKDZSHwO/yjKyZUkDBQbX7KZw198nP/11j9HxgFRM0IrzaU/vJur/snl6JEh2klMLczI0tiPTdk7fbFXJ8mtQx6adfFS6SV0CbT2QlXPVn3q6YiaMM6rUmiTQhijlh8XbRjG5qAPvEPUeNylnUUsJHVOdYe9GSKSOXGQm6x8aY1mmDJW79BOIuPkOmvKLB54x6+RLbQJR8yzNr3+Cra842aW8lEjlNQTFn/iRg686zdIZ0yBidZXv8fY7qsRyuSJypua+Vadx//zN9hw2SQ3/dNLyUXOaFjUfDbvVnnntpPpGIkKuO8dHyU50+Kq338HenodSfYMFJcYCnoMhZkvr9UMEzZEi+SYUIhlW30jyQOfAWo8avuE33PpEFtqc74jY2HbLDBqtPIaHRWxLl7yk9i8AG3VXTCrhrzdsiYjn3i+7DHoFsJMNkwjSMlUwJlkyOc2dZ6+kzUTG5lpE8ZUi7TfTJUW1KKMMbXIg3/wFSavvYDGxlGSTBNGCZtHFunmISc6I1z44p3A1wH4++/ZyoZbL2duZAOHOppdTZP7eDmrEcrcxG+WPI7Ho449ZmzeiQpMnVIVmLZaT8zCSSpCaclsb8gT79Gow0TchhhP/PvDGoq4Zmf3X39tkx2//w9Yfugoe165kWByhHZm4gJDqWhblUymhllK6+waOs1EvW2KC+R1z9w4LUlNZgSh8ovMhXC4NIiA90gdizqMRYZQuxrQC6pBKI2qc8fQLJktQNEtJYnIlMmR6zL6JHnhmT271DQenNIUkVBKMHHLi4nXDdG+dx/Rts0MXfdiRFAz+X9DjQ57xkSRmSIj0+/+KU5/9A/pPvQoAAflXQwNX8XWkVNsHOtx+ljK7X90GxtedRHDu9eZDG1KEIdGLW1i2nNPmB123rCFhz5+L9/50JdZPnCGS169/nyW3LOKC0bGABiKewShIMkC5rImcZAzFPeYqHXsfKlxsDPF5toCzaBHQFHmzxSVEV59CUV8cjNImIwN4zwe2xSr1vkS6FPRunCr5czsE05dXLN/6zL1NthFUfeau4ZUEBj16lTNFKHo5iadrdNU+UQ0CMbqHdLvPkTvof1c+C/fRNbIyOPQlDStF2amnf/n65l560cBuOH9N3DlGzazZOe90wBmqlCx14IMSX864cl4mWVrF3b5GGoiM45CXvvitGmG4VA2X/5EvGwqzAnNmU6Tjk265HIi5EoSRcY05zD1vjez95Z7aMYZ41fvIo9qdq+QpDIj1Ea97MKuXKhSLw9J88B7RKd5QJuYo+0xZnrDvjjFmdTsS1NW8HImxF4WcjQZ8/42qQpYSuscTIv37XLZm2QpiljmjETGz6SbR9SDlHZ7xNCEIKcRpsSBdYiNYblhGLrLPvBjzPzVPeSzi2y7cTe1S7b7hCdRkJP3Ek8vNu6Oaf76W3ngPX8AwOnf++80f28XmmHo5oimYOyeL/PoAzO8+tdv5kCynkaQMm3NNF0dMSnM58T6CtRkypbGAmOXrGfmjhbfetvvcsn730y8Zfqc1tx5EeTMes0tWg7H1QUO7EIYCbvGRpzFNlQhYyJqe67IFTFoBgk9W+92RHa9LWV38xQjsstCXuIcEXbxmSw+vTwkC1IyGfiJ7oLaG4EpcO0yh2XKSNXO07Kbh2CdzZQWxIEhzlP1Nu0sMg4GuohbTo6cJpltM3nNDlqdGr1Wjdpwj+VGjDpwkNNffID72wlhI2T7RTXe8r+tYy5vs5Af5XQ6zMHOpA9rcoyJ22xcDtdI5DSClItHTnqOumOLMdSkUQcHNlewSQxVGgAAWjtJREFU89IsbDiatiX2oVAMBQkyLDIJ9fKQ8Zo916elDIiDjMbeGvmluwmEppMXcYLOBrpxaMlPtIPtSUbCHuviJcbCtrHXuXJ7Nt8wYDfiYgNw2gvHKTuvS1cjeDpu2UQFpji7N1+gGbLpMJ0ZJFMBw6IHNVBN09ZWZjbVNA/oZpG1QRpbpNaC+GW7mXjZbpuKFLROfI7gei0lCnOv6soaERv+xdtBwMlf+y+c+difsPTXX+LQEZOtyhnid924k43NJeaTIoaynCGqHmR9G8vwZdvYePUmTtxznEc/+V0e/eT5rLhnF8c6p4FCmgykBmXCzpZ6dXIlGYrMBtfJY86kQ31FIZwGy5VObNrSii7/jpMyQjtW5ZzmYcku53KtL2V1cvt7okJfkUsGmqYwCScCrQgi4/VsHEald/6JyBkJuz7PtCv7GkpFLyu2wsVv7Qdg92u28siMJhtWJnlQI2fmL7/FqZmT6NNGErvmn13HhW+4kNHaAj0NzrPFpMstYq9VXpSjjCwT0ZQJWWCqF0HBUNeCjND52GhTE1xKE9bVtntapgNy64FeCzOfbjPX0jPfk8NtRmtdk+UQgSJg6hV7fDKQ00ngTYvGOU0TBJmxA6vAOIUKgdKGuPYsuYgCw3hmWkLuTI9Nn/TjuBpjMlqmaf1/nINbNzdFYOLAqLbrYeaz9wG+8IXzv5BovwdINNP1tkmU0mv4eRJJw5QxZPb3M7LJpr93HVGQM1HroHRCVyqWeoZmmeIdhXZk4oqNXPe5f0H3xCLfefvvcvQ9/4F8yQhroh5zqJtQH6ux5SXrWUyNM55j/AKhmAxaZtyEZjmvMZcNIVHc/Kuv4L/fYDRuD/3y/2T40i3ntObOiyB3VEyaxZ5gKC0ZCboEwonwymeqMrmuc9/4Tkmd1S6V56rLlFwZVfO6cAmJcSVvBKlZdK7QtSy8/VItSfMiqUDNOho4AmFU1yltzCR3GaHKRLhruSavJhZFVihtnU8S639T3zRON5fIMEcpmP3bRzn5x7ez/MgJRi7ewLbXX8oPv2sTLbXs4yHHwo73OJxXTTbUFpmKW3RVxHzaIMDkdFU2JtBx+pFUPnTDF0T3ntmK0SDpSzHo4DLwmKrlxh5v7FfFOMU27ZuTTssaAef17WLCXby5FJpMBSxZTn447NIMehzuTnopuVaKHR2xpgzzLsw7i4LceHprF/oWeAnGwWVwMqFuJt1kZHVHSksyivAJKRSh1EwGmc8Glihjl3OpN9M8IA+Nui3CxkOnRTYwtxE3ailpoEikppsbx7j1//Qn6Hz9bnoPHSA9OUttosHUi7ey/ceuZNPeCRJlfBJc9rFY5kXiA+k8P83fE3ce4NR9p4p3MBSQLJ+bx+WzDeesAvg40DhUPtlJFJhYS9f/Tl7MKeek1KQo/iEjV5LO9L9n/Upc2T4Xow54RrxQ0eJ9V1x7lGVSnYBQlykTVvpUUhLJ3JvDAusk6cwpeV3SUTG9POR0MsSizbwmhSboLNMYi/iBdad4fH4jbGyjl5Zo3XeQ0//VJMtpXrGLLe+8hfE37KGd9ZgRI75qUiNIPVENbFYwlzhnMWuwmDVwVaN6eehzeTvNmbEZJ97kFklFKzflSr2pSJt1UQ9SKyUar+t2FrEcG0fPjUNLbKgv0skjTndNZkXj5BrQkcYxzZkE6oHL1iUtISyK47i9RWvjXOligbUW1MOUUCvvBQ3GwXMprTNm0yaPhR12NU+TqoDFrEErj01KTpkxaj3z3Tt1jEZubd/OZtvNI4ajLk1b1KOVGrNjpiSbGgtM2YJHo1HXlHJVAcNRj6HAZCQ8LMZJ8oDhWs+33c0FLTT1jaNc/p9+itnbH2Lh7v20D50hmh5h8jWXc+Fb9nIsq3u7+mzXaBI3N+u08joNmXgTbKoCugnc8++/0reWJl9+Ea0Hjz7pmjsvgjybNFDBUF+JPfMCck84G0HKeFSkymur2Ngfsxq1IKOnNB0dMRwmnmCDWcDLqsaI7LIuXGLP0AmO9iY43Rv2ElIZrkJUJBQ1G9u7mNV9yNSI7rIkTWB+pqXJKyqNp6uydgrfB202WOfxnGRGRbN4/3Hzwmo14jgjbOS0D5zh8f/HlPNa/7KdXPehNxBKxRGhWFrscOnQcbsZKybCNtNRi1xLWnnN93NjzXjnms3C9L+jTHiG28zdAu2psPBkFjlKS8ajNpOxkfJbea3IF20JmrKxf1Io451pJ3pqY0gd9+2uyyxxdOntlE68mtioxY3U21Mhx7oT1IKMnfUz1lQRcaI36jeVo3rc98EtNIcAzVDYI0BZT9JCImoECTVMeIzTbrjMRZHIfHYjV2vbwTEt7nz32WkDylK0ahTqTzDcdTNMjSo8D1luxF69H/y9FxGyl7+99QG6p1oc/dxDhDs3M7ZnvfceD4P+yADngOLU77MPzPC1f/7XfWPw43/yJv7g9X/OcwGjdvOaqHcI6oXE6pi30M7zMqPkyuk5z/1I5oyGHdoqZiFrMhku+1DGVAQ0gpRlK8k65gbwficuT3QoTYRFbrVKRorKaMikj3FYyJpElpC5vPjeocoSZjDvfjTooAITnjcSmr7WZMZf//XjZD2FbC+zcWKRJAs5/Ce3c+KPjWlq4y/8PWovvorGSI9ELXnHTceYgom3DoPc14F3WjynBXNzsBa4axTKzntTTVf4MC6nmndMSCc3la+GrE22zNg6BsWFZQF9ZqylpNZnCgiFYiTumT09j7zDZjNMCaWiHmR0McUqwiAnCo1Tn7KRDrEVhqQshJokN4zBYmrszMNRwlStRdPWLh4KXVnN0DNkjoGNRdFPwGsEFcLs4UIxHrcZjYwqu5uHnOyOmgI5QcaG+hLjUYeejVhxuGT0JAeWp3y/y5nDMi3pZSHBhdPUd/4gQzsmeeSDf0XvyBmOf/yrDN94Lc2g5r3ye4SEgeJgPsGjC9NEMmddY9k7EN/963/LQ5856J996Y/v5Yqf2Mahjz75mjsvgryUNYhUofKVaJO7GOFVTJHMvfQ2HCS24LRRiTZ8hRHJmaRJO4iYDFssZE0fCpWGAXWV4uqtOmLvbal27iWWW1GIIhxGCxazOq28ZhLSB6aww2jYMZ6ZSrJsCaOzGzliH2JsTSP0SAITtnH/n90LwJFPfJP1/2Iv3U5MrURkLvulN/jEHobwSR5c3sR41GYiWqYZ9HzZSUeAUm2kN4X0tlYpNKNhl1pgyreZBYsfQ2eHcpV2ZIkglQmbK6fmCLDSJitZLDOGZA8l7b3tIAZW3d8IUlLLtLj3U2gPTAnFepB6FXquBafSUUIrCZdDX9oqNqYFa++LZM5Q0COSytvQnBbD2RfB9CEipRGaueVSCualzQZAlharyQBkiETTvpdUyZIPgmQiNhmVHJEuw0kYTpJyNkzAxy1e+sO7efAvTF7saOOk36ycw6EbI8CnPczaPR79w29x++/t88+avvVKLvypa6GxxHMFG+qmPmw9yIhC2ddXoM/R0KV4dA49i1mdILQOgMIUpzchLwVDFWCOu1zKYJhI5wwqhS6cooTzawhICL1/hWlH4VwjhfZpNQNhCsm7qkLLFLV/Mx3030O6+sYZWc/08dhDSwQ7jEage2QWgNFrLmL8lZeR5+b9C6GNZkaFDNHzayIURYGUVBXRJE7qdcxjboUKKbTXBrkx9oy2cEyrKT9ZK50TiRwptV8rjcAQpl5uCJKrG+0IkRA2dbBlEDId+Cx9oczJSulMQ6FQUtAUqZWAzTvuphGZMnM9yUO0Ngyqy8wH+ORLCkErjUnUGPUgZSJue8YlsPMC6fpqQz2FGQf37kOhUE5IceptoWiGpuJa1/qbGDpkMrw5IQ3w1fbW1VvekS7UyqvL65bZIQcZpdRu2M1jjYi8Y97x0IQZSxMnLWzVOWjbxDOBNNqi2UfO8OBHv8nxO0rE+BdexaU/cjG93jPg1BXLjEbgJq+VRqyKA7AqE5NZxsXUzfSG/aA6e2jHbpBLKuBIMsmItTvOJMOc7I2aQbS5bl0Mc1nSy3URHzqXNAlrOVIUGyRgc+3W/It1XKnbNFz7HOcK0qt0h4WREOkZjmfjLZeD1HQe28/j/+ZjAFz/p+9ERXWOLZu0gCNxz0uYc0mTw3KCC5qnffJ1Z0vzSQKEYiI08ZcKQSuvs5zXbK1ZYTcxU95SWSKa6oCeDP09TYxfz78LV6e2LBl4pxhTX5JakJEqo15UCL/RNWy1nXI+Xb8xWOm6p0JUZlSJAZo2hdq8qJNr2u42D6UNE5Rntpg70ks1gTBSgbm+yLBk+p4CaUG4HWG2fxxDY64BrNNcJBVSFM9OtaRWktbL3Hc5AkAhaYdRiYM282zs3S8hGq5BLebimyfRdEtmDuVzLUdSURMpUdrht/7Rlzl9pMjItf6mvfzAL/4gw1HC7PLQE66xtYQDrTkAlrOIOIusbRyvAXC5pp36tSZSXKIMV9nNzCOz6YL1K7CZK6Q175iyjolXyzq4jTtVRsIctT4qndxGTWhBokIfLgn4Gu3OqxkM0cpslEZZi7KkjJra+WBEMqd9Ytk//5IX1XjoVI39H7uD2TseYfylu9n9f7+FjAylhMmzbvP6d/OIpaxOJlOm4pb3rQHo6oJBbOexZzZbJeInhaZG5teQY657KjSexTKjJjJTJ9jNb8vgR+Te6cusVem1Fd6j2SbVce1VmLzRpl2Cbh4yKjM2NRb61ogpoVio1OeTBg17LzAmPoVgObVOqdJkZWuGyYriGUpLltI6WVC8rzID0sljX1BkKOzRCBIads44fyAHt0fVwszuaVYDkNW9VrEhjaAkA9OHhkxp1BdILU1YTBv+fsNRggot4xQJrv7VN3H4sw+y4aZLGR/qobWwiT9cvHzgs1UKoZn59nG+854/IawXbdz2njdTv/FyjnZy6J5bdMV5EWQptCfGLkfpgpOQcSnKnJecGagkKeKTG0EKMve2EIXgZG+EThh5btid66TXJA+8E0YkDAfVUyGZtBKPtV1FQvn4trKdyU0q89KLdpcnWXGOI0SaE988Qme2SxhLai+9gsWFiLnP3QtZTvPqS2jVptkYLtGwiyOUxi7dziLrzR3w6PJ6v3mNR52+ZChukrnnNmXCcOzirIUnqFKXsh1ZdZVbZM4+77llqbzdykklrhBIUFIv5lpCZGxtHRXTtpKxWwBubNw9hmVCrguzQY7oy7nruP6QwlGnbJ92ucldv5zNz6njfFutdGVszEVKRpMflz4VdyhyQls71Y2l40FdrlynZXBe+oVHp4uVlIS2vF9Uihk12hlrx58MedkvXGXugSGyztamtCQFpApRWjEcd+nNdZg7WST/uPxnr+GCn7qWWHZt8Y5zSxCwFuBk4aCkovbEq+TnkKqQVGtSYebMcNBjJOh6guKItINbB3nJC78sETvHRudoBNYMYdeLi32HQu3pGCuAZVd8JsVHNziUnZhia1NWWnjb9Vf/7V0A/NQH9nCcDWSZ5syf3wHAtjddwUgjIVUmVl4IU+vcrf9Qmnd7KhkhDQPGwg41mTIiTKaxXDifkAAw6T5dWJAz1TgmZFx0fNEJMx4RnTzyvhpufQVoL0GXpUrz/gzzXA5RLDuVRk3lmUqnuRgNO3229zIyHZgwSKtVXEgbffXLy5Ed9VD4fbusVk9U6ItxOK2qE+ocfXHv0MFpTcraGWdjDoVmPOx4zVixrxvJuGX9lRzjmNpc7KNxi0aQ9mkQHD1QCDZftYHNV22wx5NSW7TPuOjzSUjF8qNGKs66GbIecemvv43mrnXmLYj+UplPhPOs9lTcNNWShid8koyiXmpgOdQyzMYpkboomei4pk4e9+n7naOOe0lOrRwFSb8qS2FVGcKrxbM8JtaOsw5sthvZp7Zx8XyuLmdmw2/cIo1kjuwZqf3mX9jDEQQyVDQuu4Dl2+9GK8lyu0an0fWSdjszTEU7jcmCzKRKtE5SofMQF2HfeJRzvGay5CBlbayRTYIAkGuN1IagOokViqQUAA2dkksr9epC+neeqs2SZCqFIsIQRHeek3KGg563eUuhTSJ/Aalwz5SeQDuO3p0LRaEQ7yxnmYrT+1vc/lsPsvvmHey+cYdNFqGRFO/eqbCcc5nbFJwE7RZ3+Zk1V2mm5LDlFneaD6ipEV7NDfgNrEZGXaZeAuu3jRopr7yZq4EFlmppHDw2SP7p517Lg99cIp4eZuIHttDOsmITeg5Ve9oxZJKrDEc9apEhyL5YgF3jUihKU9BLd865UUpNK695xitVIT2rqnZ7hE8faRlTV6KwrNVyzzJSZtD3PKDvnXkHR+xeUtKKlTOIlfccR+iSOWN3nbh8PTNpk9FGSmPTGO1DszR1m/Fa15szXJsL26lNZBMIwJjhajLzBXecih7wmjGwzGWQU9OZX1tgVOq1MO2rCOXWmxNcXH9qJR+Y8rFAaJ87wniyBwVDKTRoSe7s3loylzVL+2MpkYodnzA0podBwcbFETsHP3dNLDOOfukxHv6rx3nZP7uWkS1GA1o2u9Wgb06BYfQSZRw0u5ZoxjYtavHuzR7nfFOGgx49Hfn+l/emHEEoNMOy59s2GnZpWmc2x4i7OVe2s5fhmFI3/q4fm952MTuvW8fMIwuMXb2TYLJBptv+GkFnxb1Ww/lVe7KELXTqEBUwEbe9Krk4T1jO2HhdZ9az13Gqzsbh3NuNWtZMErdIFlOTcMQ5Wy3nxjY5EplB3FxboKcjWlnsF/RQkLCcx8Y1vbRxh9aF3tgmiraVbaXOOSGUxqYVWBXDNW/ayIHTAe3vPMbpj36KxqU72PjuNwFw8nSD5OHHiWPN9FWbiQJzn1QFdDox88KozWphxmSt7V9mw9pjfUiEbZP77GI4AWrCLEiJsKn/CobGMCCyUEHlUT8H7Gx82nibz2qjLnVcsY+RlBlKWIcqakRSMRUte6nGqdkjcp+QwUm0gFfDeTWaWjmRAe78vYd55G+OkCrJhh+8iBxBTQqQVipH9nmmltXtPR2uukCcFCUxnteudKe7PggLQl22LWe6kJad9DEcBrZKWY+5rGmk6gH1nUNY2jxcSNp82mCROrWxJjtfu84uWs1Y1PHe473gvJbcs4qF1CS+MOkwhZ9PjjhKsZLpBrx5JhfF+nJhLEFp3gEmBMimUzQ2XDu3AsVc1izuKwqJuhzfa9pQfI5KpR7LzKpD2bboBYOS6WF0KmLjDUOs2z3GTAse/I0v0j40y8XveBnbX70TIXLyM4vMPXyG4a1jjO0Y75Ps/NpULuQvJAsCr8Kv2xDBcu5qPy9x5iztibKyscfOl6JsinF+EWXG0QkIjjC7/rr3Vt53XBuducmbyByDXtLoufsrLQpiHZhjid1PE2EiMtAud0CAyhVfeN/tAFz85jkmtzX77lsOS3N9c/tgaBm68u9ladpd31MhoTLCTChMREeuhfE3oVCJO/pjCL/yf1MCv0+EqiC2UGjD+uasUNTCzI+7s11v3jvG5r1jZFqQquU+n5U0O7eUueetsi4msRmopbTuJTDXOJN5RvmQBUeQJdpzVI0g7Qu/8eoLOxj1IOvrkMS8+DO9Yc4AmxvzNGVCI068jdENfiePvZdtRmBKu6FXvEjXD5w6006oFjHjO8cB+J+/8iD67/8AJz5obMdbf+61NDeGSNHl5B9+hWP/w6iz1Pt+iPWvuZRmlBAHOVlg6jL3bB7njq2CFAWm6lEsTXxeJHJflswRFqCQvPPY98+N3bJNC1qWsE2fSt6WeWzCF4JshTes2yRN/1WfSkdpSS+XzOQjXmJ3Nv5cS6RdTM6TVWnJcFjEHhe2ZJMmsayyfu2/fDE/8A/2MHbRNMLGFyYqZF4LrwJ1NuzQhtENouwUlCMItCajxGHbMfR2XoxtDWFU+k416MahPIatzKjvXZpWJUVJQyEK7lkbEd4tWkcIBlFWv0WWQRqLnjuZupzn8VjUIQpqfWNsPP77k1c4KG2cK70ETTHnRgJT9QihqAtrSwzNPFrK633aldGw69W15SgLF0kAEJL3SdA1mXm7ozOBQT8z5UwkXu1rtUCRzJnaFHH/lxaY/fpjtJbmOPVX9wJwyVuvpGbV4p988x8CIKTgJ2/7SYLIqEEd06W0pKMCsKaghbThy0o6NS6wgrExzmB2XIXb7PvHVgpNZp9RJsaJ1zIoX8Wpp0Kv2jXMTsGs14Qm92vYSI+B0NSwRAhJqgvihR1Tp71z+2UkclSQ+ipeTrItTFyCH/nUj6GzjKkLxlA6NwTQqtFrskSoRL/2LXV+BkAQpCWmpGCQA1EII07L585zmq3V4MwokTC2+zLz5up1F/NN+lDMstaxbAopw82lsvmxkz0DxSVclY7EevCpkvdzOS5WaUE7j2lnMbuGTlOLsoKzQnCkO+HtPlsaC/5llhdNWZoxg1IMWKYlp3oj1snMqFjNAsuoRSm9MGExrfuiF1BMWCcte46s5Ijk7q2UINy9mYtvmOLez56Ez/4n/+zj//ULbHrrqxi5bCvD20aQUcCm113K7ldsRMeFOiQOckLZLaQGq2ZLc5MmM5SKxbRuQ2gyr3Ia3Dhc35SQRNaW61RFZU5uEF6lVlYNlTaDMgfYUyE9sIlVSs5cVg21mNV96IXfxNTKqVO2Oa22WUcjAVt/oEauNZAWiw7pnW0cscu1YerK4+HngrOZeympX1ozsd14wuw80dGKmlR2ARZerq69jlA7O7fzDHfnOvWWU9WX+6ro1xKV7XbOJmfOfe6orKdrprhEN49QVgpy66ZMBN3m5CUfASgzjrk2m2+hUhaMhR0kBTNkNnijrnYlV5UWBNYr36mwl/OaJ3gOKYW0HAhjAvOqWpF7j9hBKUyVmEuwc1fBq/6Py7jzU1/i19/+UN9YHPnEN9lz604mN8Rsfcl6Fo4s8fJ3XcFEM0Xp3Be36ZsXVgp11e9CmbNMbBnkwinQOzURFeuL/nYHQoPMkdpolCTaz6syI56pgJ4we6uTXk1cb/96cs91jKt7dyZxS2GaUhqfgAXs5xIdkuYsGiUPax9bLs04N7Y3bV9yysxsmkuWdW3VNoUyJyRfITUDrBBEKDQzEUXBG0dEXTtdn9COmZaukHSpP4aIR8HqBNRFiLjnGrpT+OY4359eHpVMaJLlZyJ1pnHeMhPJOySh+wgaALrwXDSbeWFQbwYJ03GL5axmCIFVq0jK9pOCeHgHI7vBJd5mIW0KvDpJbIPMraQWWs9NxyUDK4iXC7NA02cD8/HJUnLTv3kpD9/02b4xaH33IPv++cf54c/9NPEP7+DyN7+jtCDSIveul8SLJBR+0O3nVlpoB1zIgHMacPes22onTgXtF3GQQsmTueywVHaicJM3lLnPYFaO/QtF/wQvez86+NhILX0ccRnl5/UTJbNYy17SkVReig0CTeg4TvteKS3KQciSVAb4kDGsE0fZy7ts4zubinWwD4Hu/90wP+ZzmTs24yP6mCLH5GWesbCmEMs0NqQJLdPy3DjltYCTXZPQRArVZ2+FQo0sKZgvJ9V5Rojcb6YA2A1rIWv4TEdlhrGMQYeiSCpiXcSolhk4x8y74hJSDUqVBWPmpDAomLGiP5L61DD/+D9cysf+2YN997jnt+5h9v4T/Oh/fDk/8dFXFrZgUpvC0jDJESbhib+nu39JRazsOMUyIwh0X0+LsbQOW5aAFX0x44q050pWEGVnkjPVkHJyHXpJEtu2FIzmSFviL4sQSu+jcxb0m45kscacdq/kB5K6d1TSakh/H/seS4x2KHOfD9vBEOd+k4jDoK8S4LUMUqz4ybfRMehKB14b6e59tnnpfW/8u+9/wCB9Kc/VQSbibHhKBi1ntynbTsoSblx6ttKSnn0hzgs6spPX2e7CvFBPOrWPu9ZtbE49EUujgnX1jo2jiEmt5mILvd2K3KZ+kyALbguwRFit2HDLqttoaoR/8Z23MLdvlv1fP8mxh1r0UsEFN1/AuklFT6VeNV5mSsqORX6g+yQ968whiz6XPRXLTktFVZjcj/Vgwg2HVEsCu8gcHJfoVPrle/fF85ZU+VKoPo7UtdHcvyguUYYSwjjZUUjGbuMrqxtTPwyFimvQB8ER2EFtQV97/KZXSMxu4TesExoUC7a8sa3GgJQ/u03epTjM7dwqc+vOTGNSj9o8wjIHhZ8T4Bx9pPf+PxsBWotwxd1jmRMQ9m1Abr74MD5rOih+L0wkZe1ZoApzRHneOSZNIfuYODcfayWGuxzGOGgrdu/O5Y72x0vzEfBaOcCa16xaVgVsuukSfvneney/8yQH7jrD3IkejfGYl/70HuPgiMvRLf19ytn0nCaw8BPGa0ig36vY2YpXrCc7r805JrRpNYYytMSv0MCY9dTJY5R1zpKl3NpmLAxxzFVJja0lPVEkXSlrgcr7xeCaNEwD/t0PrqeanQeOKA1qkgp7OX1haeXQyz4HQgov/b522PnTLHnbO01L2afE9N8QY8dAoijNQ5cjQQzc3xBvqaXfb6CfOSi/40LTYFTu2Tk6c54XQXYB+EZa7TeUB95b18UXGrVAz7q5GzuF8molZ4NIVECSFQ47TrIu8tva30qTWArFWNzvtSaFsQ/KUsUdt2ma8CFDkCgR3MEJFw5wVEtZnWU07Bhi+47tbNHCq747uS55Eypi+9xm2PNSU5KHliFYXa0cspJIO8cFh7KLfT0wY7ZUsouVF0nZRuzgbMi5EKi0nHoyX9GuFYSxNLaOiz2TGscwp74u22ydfQnwRMyp2N14pyVTRDljkW9DedN3xLQkgTrGDOhTX/rQCHQfR5o4O++AOcBco32/ygTEtN96qwZm3tdEipSBn0sACGiI1FfeSrXJziSFJgmM9ifTxgM1UYGZ/yzzXIFb71oXTkDebq5LGeUGtDPmooLZcs5CDo5Jh8Lzt6zih4KRcnPGRWK4jdlLu2UJ3CLVkrSUGtY8s985p898YyV3dMEYpAyx7voLWHf9BX2EvF1K8pFTeOcOmr+Mx3Hmw64imRf7Z6ldzuei3E6HsvrahfK4MQ8way9HILW2NktR2i9NXoiOiPw+WLZxF88zjKS7v8sS5ttQWoO53Yc9ESf3knx5P0mtmWJwfzUa1ZVmSEeU+/1civfppf3S+y/D2ccV0jvPDWIwyVBu7dhg+uxK8pb9eDw0nlGEgiEoS9ZOjV3OzObeoRT5WYWoQZwXQW4EGXHU7ZuEjvt1jkNOne3sDm6xunzSvdzU9ix70JVTHbpr6xjibApWFItelTZYh1RL8lLwfSNI+jhsF5eK5by9ikQXqejcYirbd8pG+8GJLIUmFkW8s4mJxidOcMTBqaoGpc0yyiptpc0Cy2zAvYt1S2xdTZeLWyHIrKe6FJKzwSVDd+pUX1nFElRPyOwG6zMvlRaUe99lwr+U1fs0Do6RKtvzXLyks7OgbciW45ZLm1g2IEG4Me6bW2ikFnQdsfXEXfgxGSTwnjkrx2IObNTOD6Ics+q4XZkrH/8+SLTN9VYSCDJCXdiXh4IeQ+WKR3asumex+a9FTMWbAEi1QNh35Tc1AYOzzmkhpNAriGTZ6amPAJVUox0bHeHmpJs/fYymMB7ug+/Z+SMMaj8G13Bgnx3p1R0djdNf1OfJ7fafsgbNhR66OZzkRQY8T5TzGJlrn98/JbCMQNlDvGAOlBbefjtoZinbvoEVxG4QXkND6NNDFnHB/f12jl+raW/KoT1laRYMkZPa2LbzEnOttGS5nBRkFSa6TFRd1q4VJgScCS8wKnplYpudX0L5Hqmr3EWxd/Q/U6xQdTsNhBp4riwVnyjfI3U0RhriLHURX2/+mrz5qQZEQZQD0a89eiKct8rauc6bxheqGkN0rJOXKAitm7CxyH2O646KvKTkKozU6Fe7FAMk+zirYpGWOBCt+iaqydBV6O/LajLXnsLOW8SVGfuSU/kaO/VgKTjXHh/nmGvO7JunsW2CuF54dZazmbnv5T5BkU/VECS5SmrHfjW4l7Rssg+nYXA2Z6WFz8XsctG6MXKp7BzxUaV85E6VWmYkErsBlVNOSmEKAChtF6lV+0O5tnOxMItc2WUGaCUzUmaG2lnB4bqqSQRQtxx4UtK4FOYM7XP1uvs5lKMCVNafg928l5JUlxeEu2B6IqRQdETkU4wO2o2NFiY36Tut40353TtpDkA8l2zIPWND7qkQ7ZPFFKpdRzwcHNNV3h9gpRmqeH+FSao8D8rzpNhPtGfMwtJGWrz70hwrvX+vbbPzILHP6IioL67aMYuOYCR+L+o363Rtu1rzOe2ZNmMXjPtwrME5GUrrBGttumCkVtcXwOdJWE1qTp/AjuswyBiogblnzrH5p7Xoe7bvoyV0jiiX9zzfd/eO6ReOXP/KAsvg+13N8XQwWsftS+5Yue1Km/oCUiiWifvOcftRVlqXPq1tSas2+C6Hg/4wpEGtgf8sCvOJYw6Wc6dRLUytZWZeoqw2xMynVEmf6vnJcH7VnvKQPI/9pg0llbXNi+w6199BSTeXjIZdszhUaOMK+1Uo5UU4CEc8zYIWfQH+fU5MAxK0Cw1wC3nw/qstYMdBrmYbBpBJwuN/eT93/od7/HVbXncJL/pXr/UVkgYnoyollQCjii4TU5eCzoypsWPkqlhEQmhyywU6D8BAqBWJJiL3fIRfcG5iFsUj+u3bPod1VkiLSam9feMmC+Lr7uPKYyoEKncbg7Tepf05pAdVcu7+YWAWZV8+XKs5cJx9UYqxNLY25jHJA1/BpSz1Br76UsmzXq2+2bvn9Nskjb1NCemTe7gQFnCcs/HQbQ30zaG8YbcGEpWsadguOAnGxGWv3v6yycBJlKsy2CXnJjfH0CVNRmmtuffltEWOEDuGdPD8QttSzI8iA5TJiVBowLRnrJUOfNhM2TfFzSH3jOXDC9z7u/dw8AuP+/5c+Ws/yvhVO/vWoetvHDhG1xRpkEL1pZME6IrIM+t9zO+ARmc1YuXG3fl0uHnr9sby3lfsyaailiuQUn43g9qLwI9tv33cPLNkK7aax3KiIFfTvDwebk9w88D4/Ui/N5bh3qEjyCb/f7E/urWelso3OhVyIBW5kjQik/ff1U2uB6lNEVzY403ypdCr3Jfzmp8LUAonK0XmuLFdlU7Z9+TqGzj7N5wbI35+Xtb2pWaq39Fq5XnCLzwnuQDMpk2/maUl6anMTa3ooOOEXHYUf2/ppcrVOOrywjOe05KkxJG7drpr/AsoPdNNHudIFuiUmc/fzxd+7T56S4USIl43yvQPX0s7i/peVJmTd+3MlCnR5ZNuqMAnenfnuoQKWW5c6YVdkGFgkpg7wowEnRuJ2KTuKzjNsESIHMpjNShN9rVVyb7NTAaFSncs6vTZjLTWPPKVExy68zhLR1tEjYBtr9rBjlsuAmLLVcrSouwnWkYKLjLwOE63fabDsdsPsPuNFyID41HfziI6acRyErN4YI4Tf/Q1kuOzjLz6KprXXIbqKXr7T9B7+FHUwhIj11zE0EUbaGyfQqqM3v2PEZAz3DDJR6JYsHRiHp2kPPa/HqM90+aW374FEQjyXo5WmiAOaEw3CGuh3zDbWY1m2POL28U+DlYkG3RYM8znuSqvnn2sr20AbCYpa2IatEOWN/tBRzzoJ5Tm/GLuSCF9TWI3F0KhkFJBUDBgg5LnILHq5pE37fQ9p0x8S4TVmW/QRXKNspYJ8CY2KTTZ3DIP/8G32PfH9/X1bdPrLmVs72aAUl51c73Wgm4WIYSx7yZh4AlQORKjbFLxWjdVpGUsxqwQKPxaL41DWXsRlv9apmMwHteZr9wzy+Yfd62ybXcSrEt1C9BbSnnw049x9L452gspw+ubvOgnL2X0gknA7GtOeg2lsvti7hl2KEvghTPr6W8fReUwedW2FfNRaMWp2/dx5I/vQo6PMvXm62D9ZtKFDr3vPUZy8DhBJBh7+aU0d69nZKpBtHiG/JGDTEwJekkbRjRLyz3apzt0Wxlf/O1HueL1W7n+5/bS7gm6HWuaqTWIp0eA0O/fgxgkyGXtazsvCtWMReeWpQueQtiTf5FaAJJg4EUXLu4r1U9dG+BfdgDo9/wrNu1B4ixFSD1YuZmtUF+XFmK53Y7bd3HGXn0jlefQBzcP/wxM7eK7/sPX+db/eNQfn37Npez+xTcTBrkt1N7/XGdXBuhmYZ8E59ztjTQLeR6QaVsE3t5DiCJlpBCG8ytvTkpb24/ut4Wu0ACsQgzLTEI9yPps2K7P3TPLRMM14iHD8Q2HHZJj88zsm2f/384wd3iZY3efQGWK5tZxhndNsXR4nv3/5ms0f+c7TL14C+FwjflHzlDfPE48OcTI3i1Mv3SnlxoyJWnPKY7fvp8jX9hH69AceTclaxmV0r3/7x0gBCKQICWiFpEv99DdhGB8lHjHZmb+y1/BRz/j+xZMTyAbNZbuuN+MXaMGWqO7q2fLEYFA52bMPvUjn1r1nKv/96vZ+NLt1DeNEjYieq2cYCQEibUl6QEtkXGAQWDjKc0mnAwQrLWMI50zALTyOlEWr2CmAB+OMhgWVUZZ0yRFkTVvcK5mSvpau6FQxm5o9xMEfcTHoZXW/Fwu20D7TBHg7bxlZtsRPqdGLvfLE/g058s/9Ul6s8WmeuW/eyMbX3EBYEoNgkbrspOnsYeK0l5UZkqhX71dxmpCidMAZS6sTPVrdtw5hfCiVt0LTNtK86/0KL8fp5psfpmxDTGhNMyY6CWc2b/I6QdmOPrtGc48tsjpR+ZBwMYr19OYqLHvy8e4/38eYPKSaTa+dCutIwuknZzhLaPUxmvsev0ehjYO9wks8/tOc+K2xzj8xcdJlxOSxR4qMe84HIrRShtHu6EYnWuy5R46zRm5bAvJyXn2/6uPFx0IJI0d02Rzy8z+tdFcxhMN0sWuX9uDCGJJniju/pOD3P0nB1f8Xp+sc92/egXNHdPE60ZIMwFCEMQuY1w/0+T6VU7+AiYxUJKdm+/IeRHkXh6hvCORIWSrcQ6J8y7Ngz7bnk4Kaa6Ms03CchFpMKoKz0WXOF/nydxKauhViE8cmvzU5UUqhfbOU9DvvOC+xzKnIXt845c+z6n7z9BZKDb0+kSdl739EiYmTpGogPmkYfsekJfswa6N5eTiTiJOstCX7qpHJqY4V0ZVLYT2YSdOZe1Dp0pD7u09VrJNdODtyOnsEp0DMwxNNxnaPELrwWOoXJF1c9JuTjgUM7JtjOauEQKRoTLF/NEOp+8/xelvHeXgZx+mNl5n/KIphraMcexrB+meNl7Cjc1jNDePseOnXgY7dxJdtgetDSc++u19tO99lFPffoy8k1DbuYHOw2foPmYI5JW/9zMEtYC5uw7Qne1w6i/vIWt1Gd67lYmbrkTUa8hmDTk+RvfoHFpLsi7oXg5pjqjXkUNNhq++ChFGpDOnSY8dQ0QR0dQ0wZZJiCCfPUN6fIbk8AlQ0LhyD9FERD3qEISCvJchpqcgMMRGzy+QHDhKFEFzWBMEoE/P8eh/+wb3/OY98Jtmocs4QCU5G168kfELxtiwd5ILXrON2kjsCchg2Ugn7XXyleq5tQo3p48vjyB0A6WFVwu69VcPMlNJSEtvu4NCPVnO/+0c88zvBRF3a9xpospaG0pOlt4MJDSttEbXSqVJHvS1SQptUsqWmPVBJt21AVZurHGQ0z44wz3v/zxCij5ivPmmi5h86S46aeQZZBde4xAIRS0yWp/VVOquve668p7lzg+kyzmvVzIXTpuXB3R1wehLyxi09p1CtTs0L1hPnHRYOjRHKBS63UOjiUfrTFy6nuZohNaapJXSPnSa2YdO8/inH2Zu3yzjF4wzceEEWTfj2DeOkfdyRCCYvHiaaNM0e99wJdMv3UFnzGgI1nWWOfk3D9J64Aj7Pr2PaLxBfWqIha8foX14nqN3HObVv/cWZr55iKUDsyw8NsvBv3qIsBmx+VUXEK8fJRqtkzeGEaGkfXIZZIDWkC50IArRUY36hVsIL7wIlSl6jxyETot4os7o7kmi0Tqx6tI5Okf7sRPIM7M0phtse/lW8naPNG4SdDuEjYhgapRUh4RScfJ7Z1g63UNGIWFsPNWX7nyAo5/9Hl957xcAw7QDBPWI6Wu209gwwsR1FzB2+VZEIP07cnt0XMoF3sprLCfnRmqF1np19qGExcVFxsbGuOHT7yYcqvVNjvIiKHvzOiKcKYm2HKwjREFpguUlzjEvLQytzYTNcuknbBCU4xYVcZh7e4FT8ToOG6B9bJFktkU40iAYqlGfbFCPzDXOvlOWjMve4AAzdx/mxN88xMHPPmyIoILLf/Jy1r94I/f85l3k7ZQf+++3wugIpzojptpTaorcmxJdbsEZe1IgDWF19k7Xj0BqGlHi21KOZwuFMipru/llc0sc+syDqDRnft9p4rE6zc3jdGfbJjxDazrH5mkfOEPnVKt4T5aIrIbVfoumR1h38w+g213aB2dYfmyGoasuonbVVYSbNhGtGzOiOaBTicgEKCPJ6EAjQgVSI+x/NT/HwXd/GIB1b30tZ/7sdlS7SzA6RO3CbUz/kzcRTo6iUolW9l6phFyAAmHtvlpqvC9RJhDutxKPpyM7P8sz2+6XWgCRKqSDUt5tHeiizaFCBBoZKIQA1ekgTx0jPzVLNtdCIWjdf4jesTm6h04jIklj/QgEEhEERJPDjFy0no037mHLpaM+6f7sHHzljb/NwsICo6Ojq76PtYJ/+80/5P0vfStX/el70I2GX7vOTBWHRhJohCmjca9f3TngyFOu/OP8NJxnrQ+jGchxvFpCBaX7HfsGbY0Aiw8cgzAkHquj4xrRWKPvHn7tDQgGUmjSbs7JLz7E/v/2t/ROtxCBROeKGz/2Y5y6+wj3/+dvsPuNe7juX95Ay5YKNLbn6ElV0Y4Yu+e3U2Ovdsyb1oJAmPkmhWYo7vn7LN93kJlvHiJrJ3RPLjG0YxKFJGsnKBmSLHbpHl9g+fEZVMcKDqGEbHWNjAgkWus+DyYZSSYunGD3rbs58+AZTj94hizJ2XLrZYxfvYNg6wZ0rcFCu46y4552QrSSIMy6cYhqGc1GwswnvsqxPzS5rLf/0F4O/eUDyDigPj3ExlsuY+c/vIa53gi5Eigl6SXWvyiz+wDYcE0BudlLy+taBMavRUiFjBRaCcLI5EIXQhOFZt9NM1OdS0ptiHwW9DFCmSOYQpMn5lwR5qjZeXpHZklPzaJ7KXmrTbJvP8mR0+QLywQjDYLhBiKUhPWQ+uYxxi7dxNY37CUcqvn791opf/vm/+9J1/15SchLSZ0grOGKkRvu8OwedNAfLO0ml7OJuonnoDXFMQEoRd7tMvNX32b4movJujmq00M2YuJNU8hGE5WkBHFAFCmGa4kvN3j4E1/n4B/dRd4upNqxi6a47G1X0mv3aPUSTt5znA1XbiAYaTK6awIxNsSpB2YIR+rUJhp8472fLiasndf7PvsYF77zlVy9eQNf+of/ne995hCX/sQVxEFuvKDzgCQNvVejHwcZEEiNlGbBufHItUQpTagCL8WXHZukMKrWo59/mDP3n2DmzsdRqUJ1jTQSjTdAH6Q22WT5yDy1jePUtkwx/IormN65gXjzNO3HT5KcmGPk+svIF1o0dm2EWo1sucfyvY+Tt9oEjRgZSYKJMYLt29B6zGSVU4JYw7hts0gFsieIHhfIDLM4pCV0AlQEeQyqrlGNHB0rCBUqGvN9mvmDL9C8ei/T7/gRZHMInUvoBOSnBTITyNyO9+DUEqCl8IwAuSHIaBD2s9BAx25wwn53U8xbA6T/HfffneIItwSkRoVAoNGyQT4yAaMa14Txaw2DkM+doX3vg6jFeYTKQOUkjx3m8Ce+yZlv7Gfoo2/192+nzx0vazdsUiqEtZMbKQxbrF0SBaaCUjsrzCnGgUl7+6ErRuNU1s7cBaovQUg51O7oPSeZO9pi2w3bOH7fLI3pJhLN2EXThpAkCWEcIQOr5VLQa/W474N/w6k7Hu/rx+6fuY54ehQRBcx/9wgISWPLOMPbJ6hNDyMldI+coTZWZ/nIPA99+MvFGORm4R/64uO86H+7FtHrcd/H7uWad/4AU9NNltI6CsFwlHh7eJ9T4ICjWdlsFQV2LJQ0hEZoL1DUw5Te0TOc+OLDzN9/jDN3HyYcjslaCTKSiG8dJRqtIwJJ78wyzQs2UNs4RvPqi6nv2IAeHqF198MEo8MMX7ED2svUd25ABpp0ZpHFex6lPhQY5nEoYMPOOlMXTyFDo+nYnMV085BOWoSELnVrdJZiU0kul+TtCDKBlhrh+gBQN05XnV7U5118+HOPsPNdN7HtR6/0wtdiEtDpRd5p1Tlc6lygrAOkzlwCD/ObX9NamIwkUptYeQHUcpI0QASKIMpJLKENQ2VMlc6hU2ryXPrnCKENY9GVoAQ60Og8QuSbqG3fSG0Hxi9LAK8FrXJ6hw7Se/QRdNaDPCfKljn9+e9y5qsPk2eaLX//pV6YOlecX7UnJUFJMieAlNQtjtBojeeeYBUbr1TEWYfs5BnqoxHLB+dQ3R7p6UWWHz1F73QLGUqTXi6K6M11WLr/CPz+lwiGYvJlQ2CDRkQ8PUz32AKNbZMMXbSBod0baGydQOeKxz96x4r2L+w7w53/1xeLAwKOfv04WffJHW1kKGmsG2LP217C0pFF9n/qPtBw/HtzbEnrtGwhCa0FUpqk5SvuIW2CgGClKjoKimLn5fjjpZkud7/jD0jn2gRDNaZvfTGjr78eUauRK4ls1Lw6PE9B6xCVCVQvQOSCLJXULr6E2sWmDcE0JEsg5gQih5GtW3B1EXyI9hmQafE/6IC0hM/B+sSgA8jrhhCbzxoVaXSowUqqqhcgdcjG9/08yf7DhNOT1PdejOxJRMcQYNkzBF6m+HSmKrIEUoIKsMZyEHY+idz0QSgQmf1r/+M+u4gjXWIaQjwh7ksQViLMQoMWwo6JQEtQNW2+h6aPBFay2zDB+BuuIwhSlr92L/N//U06+44jmzW2vusWOmlsFrwWpPm5VX1ZCziwNAdAN4sIrDer98JVBcckhWaxVyeSOUJoWqo/NAVMCtjs9Dxh2iXIU7onFlGdLksHF5jdN0ueKrIU4pGIPFEcvecUaXvluqxPNQiigOWTLTZdt836LkzT2DTK8sHZfmIsAA2P/dev990jbEaoJEedRXosI6iHjO1Zx5ab93DsjoPM3HscnWvOPDxLc7ppqtm5iAxZ+GuUwxj7HEnBJvUoJHUVFGF/QmiEykkOznDHz/wRANMv3cHef34j6157Bb2lhHC4zmLS9G1st0NyG9KXd0JQAgGM3HiRfT5Qg/aS1WjVp6n94C60snN+pMfxXHL8JDQbPQKpaXdjskwaoqgxfzsBoie9tipqC4LE7gNu7UjIY01WC9F1ReNVr2V6ahOi16J5+U7irVOcXCgpqEpEMk+KxagzaTRkgOzJvr1nJcz6RGhIIkOgRUCmIsP3SU0qsVo8CpOfZeKlMj5GAvx+4vYKLQvtnIoVumbjjus563dMI181RbbYZv5Pv8zMV83cG75iO8M3XcNyEnsmRfWeARtynkuwXIsjAtJl7JIF4RVCk5+eJ6iHaCkN9zA+hGy3aD94mO++f6XjjIwDxndPMLRxBJVrskyjul2aEzX0BVNkSz2isTq908uIKGDDD16EUIp4osnMNw7Q3neCM199aFW17AXv/EHGXrQNiaK5aZSwEaC7CfVxU4Aim2uRzC7TPbnI6BaTiep7H/8uS8eXaWyforl7A93DsyztO8l9H/lbssUu0WidLa/dw8XveJlJb2mZkFAqhBBebd3XR6G9cxYY1V4gFTJLWLj7AIv75+jOtEjbKb3ZNq0Ds/ROLZnxHa6z5z+/G4aGSZIQlVl1XkuUJEBhSg9rgfCq3kKl63P/azM5RY4hhkkpx7q9lydmyhJJ97Ml2ioEHZq/eew+W2JsNUw6N7NaZOZ/Y9N2Gut3mPt3rbSdm+fItPjrnyNMdjtttFLGNk7RzjIBFiUC7CT3PunYQRR/V1Hu+N+U7YMKKYhwbCRiLTFSc6gRgSaIFDJQHP+1T7B810M0X7Sbje/6Icau3k19wzBJXrLz589BCXkVLl8hqIcFwWxGCUIr2ofnGN08RN7uETYjglpI7/g8D/z+XRz47L4Vz2hO1pjaM0lQj6k1BL2lBBEHTF+xgcUjSwjjF0dvoUdzyyjrrtqKyg3Tevruw8w9Pk/3U/f3qV4dbvhvP0m+3CNvDlHbMIrqZegwIm4EqBy6x+ZgeZnubJvhXdN0j5xh/x/eRdiIGLtkPUPTDU5/5ziL++e47e1/gkpyRndNcNk7rmHkqt3MJcGKaA+Hsl0ajKYwywM6aei1gN0zyyze9RjJqQXy+SXo9Uhn+tXOW//+Nex6x6tI84C5XgQxkMDSUqGGV73ArjXMpE6LzzK3hMi+UJELz/C69YKKjVmmpmkFTWTP7A2BhjB3RAmCLtQWLHOMWWdaGsZZRXYvqJnnBj1BpowzZvPKF3kGuLekS9TYEl6nOe0VYyZygUxtWzUEiehfy6Xu6qAgojrURotWPlVj9z/BoJzktWgU17t1DpbZqBd5BMJmRrPZI7BClT59hof/j4+h0pypGy9n7NoLGbtyJyIKEeXiJeeYf+C8CHIcZRBERv9udf5gpeMop3X3I/ROzNHYtZHH3v8Jr1YFCIZr5K2izu/Uq/cy/eq91LdNEw7XEI06uQi9zbUsfa/DEHnj6GSyo4SBIWahUGz7h9cZ7j2H7qklZCRpjMXkrS6q1WF0xziBnURGrQaqXpSTa043GJ6uw54ppNA88sn7OfwF4009f/9x4H7iiSaTV21j8tqdDO2YZvSqnchGjS7QTQpHLYfWA0eY/8Y+klML1LevZ92tLyKeaPjN7fTtj3DmG/vpHJ6lte8kOskIhmvEUyOEQzHhaJPJV+0l3LWF2p4diLEJOt0QvSChG0BuCa0joCWi7CaxI0jCEmmvYtZ4tXCh/ikRZexnyyHmMf2ETJYIlV1PWpv2yNQROvs8VVIlO5SIKWqAKbCbhRal766PeXG973Ppd8cIKEGfTdljwP9QaPrDA63UD4bB0HaTUqH7Tfux0c5uLbXRSKSa9r2PEowP07jyEpo3XI2KJJ2ephZlhIF1SAyfO2FPO4dMCItjHAe9TZIsQGQpJz/zLcKROsP1jO9+4PP+dxkHCCnIrQYqbEZc9a6rGds9SXPrBLIeEw3F3r7cymo+MYxjbpUWLPbq5EoSh1kfY7D97cbxMe1kJLPLRKPGltc704Y4JJgeRiBQWUgqNDSMli91SooNG4mCnGEgV/Cdd/yRN3HN3HUYgLGL1zH5oi1sfcNlTF62gfG9G9BIlpQkSQtnMqUF3bZi9hv7mfv6o4hQMvbiHUy+ci+JiugmIVknY+7Td9A5cIrk8CnSozMgBOHEMNHkEGEzorZ+lInrLqR24Raae7Yi6xHzbUmaBf0+NmVmX2pvBkNocI6DQqG1REfaEGVhmey+fcES2xTomr0j6FHsCUC0BFHHzv1cY/OokNcEeWzWeaYNUXYOxtmQY141IpH95qcSQRYajGoVZFoizqlAJsVFsldqt7br1EmfcXFrnQnPzHvTV/mZuvju964Ao6KWmD1CFMSYSCGUMPerZ0Sx6WCemzTNrQePkS11Gb9+D1OvvISxF+2w85c+iEFO4Cw4L4K83IkJRBE0jSWceS7JsoCDv/V5spl5c+PpMVR3wV/riHG8fSPD11/O2BuvJ4siWlhJqtXfaG1tEjq3hNlxddbpJoyNc1YYKOIo83ZtMVVDC01PKuRoHUbHmU8FKnFSq7EXREFOJHOfDapI/ag5+sV+Tv6Vf/pPiCaHyXVAZzFl/r7jLDw6R/vQLL3Ti6z7kesgjknn2yx9az9Ldz/Cwu3fQ4SSeMMEC7d9j6VvPcruf//TaC2Yn5c8/MufHnxjbP2NX0Q0GmY8tDAxxpkgTQXMWA7PjjsUkq4nsvZz+d2X7ahlguulWEAExT3d8eLEYhH3EUh3XwXkEDg1D/12njKRde3p67ZVJat4ZRuFtpeWFlX5+rK/Tx/znNPPkOiBk8r3GJSSy8+w9/fctwRCjQ4VIlYEoZGMs4NHOPH//Rk6zcjnW5z5/b+iuW2M+ksuQmvIcrOhAuSdc1uYawEHWrOACdkLUrNVOKLgVXF5xKHf/dKq15e1Vetu2M2WN1xO89rdtFXAkpK0uxFpK/CMPZg9QGlBlrqkIZZBVyZywO0B0jpIOkci0ZxGZ6ATga6bc+fmKO4D/USrhDDKSU7M9fmbTL7uxWz62VvQoYml7z5+jCNnUg59rcvydx4n3rae8ZdfCkDnseO0HzrK/P/6Oumx08Q7NpEeP82pv76PqVMRw694KWIpZOmOb3DmE1/ue/bwddcy+TNvQQQaEeXmr4BcaFqZhhZeMPHQAhmU9kqpUVlJrRsrLzHrujLzNzR7iXLX5YKgKxDGZOoZYJnYz/ZWhlHWlsAVRFmmJQlbOM2UIYZ5zRBmtSytCru0r7ixV8KvfSPF+7eE0Oa5njEAr0krDYHXYGGd4FVomIK+vcYRbrt+3bE+NXtp39GBLta61YIF9YwgUn5u1qOUWpRx5BPf4Oif3gXA/J2PMH/nI1z/+fcihOjThgBk2TOQqSvpRAgVe7W11viBRcP0P/kplr78Nbr7HmfoFdez8OnPwYCKLjl0gtlDJwgnt9O44lKj77dciQhK6oxBjsYRjNxwK2kuyKQmkdCLQm88d0TdeTQ7qdrBeDEKn+0qU5J2FiFFEaO48x9ew/Jvfo32UcNQ3PZj/4XapnGau9bTPTFP5/FTfX1q7N7E8Ev2cOjX/4Llbxc2LA30jppYzuR0i0O//QVUu4fqrZJoXGsW/tfXGP/R14J1NnBOVc7L2H0XmVXpZAOTtESg3LwXJcLUR8BCiom6sjWlE805WK64rPb297d2X68aGpDQ/X2gnxjK4lj5M9jF4u5RIpLC/XY2dTN4u7Aj5s4zU6iBNg3cz3HWfZ+1AK29RK8zgUBCaDbBfLHNoV/8HQBGbrqW2oXbCKfGkXt20W5JSzTcwzTqHMMf1gKch3M3CQlCm9JUW9OV8wxWium3v5nW1+5FdXuMv/56Tn3kz1bca+Zrj3Hm3mNc9Pu/SBwppDThRbWwPzQot0xzTxinG2WphZBm99YKY64p3dt79w5M5Lwb9r9r570/MAdyQOsaoze9iqXb7kQnKbOf+zazX/wu8ebNxOvX07r7nr57i7jG6NhLyZaWOPhrv9P3W3LwePH5tkdZuPsYOs/pnjq6Ylxaf/sNRm/9QaINU+g0tMRAI+tmoTkmxL+TtL8eMcqMicj7F4TQVoPj1qndp535qE9SLpl5dGDMNcJkgTXasFigQrwtVebaqLRTTZAYvwqRQ9h1kqXwGjQwNnIdWiIYiL71q4HQKk79Gi+Z18ooE1vPrGvTXldTwjEIWto9DnuNXdMqNONLmSCXzxGgYw2x2SwEZr6JQDM81DPMkpYc/fzDHPwvtwGw86evp7l9kuELpokD49CWC0kzLvb5xbPax/pxfrvDXIyomUt0L0W3O8jGEEEUgYKhyR0M/ehOMyiZovuN79I7dsRf3thxAbXN22hcsJvm5r2wIE2oiXs5gRsYXeJmShMysCoQCRpp7KUYlSHYhTnAQSMgtCFHUipEYIo3pDZeWAhNT/RnqYlfspcrP3Yp3RNLpHPLtI/Os/zICdoHT6PSHFmP+tTxJ/74TvQf3U73QD+hphSQnp2aY/meRwjGRhBRxND1VxFMjCGHmgRDwwQjo9R37Ya50DpQiRUSoxkk+m0hJcIl0kLi9L+5sR1U1w5ym6wkVv5cd9wR59L3Vb2Yy8cdMS0T2lL7Btuqy3/LKmR5lmsGxuasbac0lgNahMF2uWc5lbbIC5FBBxhnGAJ0qEA0GXnNtSx96Zss/c036XxnH7ULttL53uPUr7iYaNN6ZK1piIoSqMXnjoS8a2QcsOsnyEBpE+WQJqjRcbIkAiEZec21jLzmWgDSY6dX3Gfo2suId21i6Jq9KBWQZkaCTQZyYUMhxYaB0X45ExZQciAtYvSds1w5hKXXC8m6ISIcGOuO9PNWdgcWBJJ1N72ZDS+9lXRulmxpkeTUCbrHjpCeOEM4PEbWboGyhFLDsd/9bZLF2Sccw6XHvkdjagsiColGJqnv2IUcHyVoNpAjw0Tr1xMPr4cO3iQiNeh24Jllp+US6coav55BPkviib6UzaV16WpcCEuQ+3xHtHXozECmuvAl8SYjJylTkpYHxloUhNcRaHPc3kKAikSfDdchj0WhNRuAO76CmILfL5zTpnM8NcRYW8dTXdpn9Kr3oJYja7nRxorCHJCkIY1aShzkjF04xdCuaZb3n+bgH36d4QvXM7x7Pc0dU0y/bBfx1BBBrcjLn0bntu7PKw45mJhAtVoEQ8Nk83PmBkFAbdNWovFJwuFRoolJguYwMq6js5Tk1HFOf/Vzxc2ktB6aEI6Ns/FtP0O8bYsZzFCXXqLhYgi0H7yypNEfrlLEuwoXkxbYwcTELwdSeWlZCO1V3MAK/X6ZYwejphuMi057Od3Ds3QeOsTiV75DvGWK2s6NRFvXE62bIFw3iSJCpYp8qYta6hKsW4coUZQ+Varj3Esah/4XhfcKFFlhl+1Tz6qCIK9KcCiPWfG9zJmuKi6XtRWWIMvSIu6TQs72XHefVQiz/1ySlL26qfT72fuwSqNLZpXyOA+q81e2Qa/wtna/6wBvS9ahNnMz0IhIo7odut97hN4jh+gdOEpy6AS6ber3BuMj6DQHKQmnJkgOHH5OxCH/xCf/DZ/48V8mGGsipER1E+9sFI41qV2wCTE6SjQ9Rjg9TjBcR9Yi8labM5/4EtmpOX8vEYXo1Oglh6+/nI3/9McQgS1ub/MLuDjR1eDin8tRG15tXpoQ3SSis7zKTg6o5WKDlK1VmAENQUcQdPuPmYcZNapaWqY3c5yFfd+lO3OU5rptNKY2UxtfR210irA+AgJyUpK0hQgj5PhI35x1tkrnCGV8FPTqWiL7fTWJ0bULWNVhCQppU5a1WGB8NzIQmfXhyIpzhc2QVR4Df58yAR58XqndWooiaoOVSzSPBKtVStSyOO6jLAbPESaywz+ztG+oyKjMzRrFelz3t694lqUjzkFzNSItNDJUyFARhopanHqtjhCa3rFZ5u/ZT+vBY3QOzNB6fMaMixTUpofJWj2i8Sa19aMs3Hvo6Y1Dblx9MeH4KPnCEvHubQRDDdKTsySPHyaZXaCz/xDZXfP9amoxMAqqEPmyhXnS4TbBOldQ3s0ud6mVeMufHXEuDZwQJaJautbTEW2IqvRGT0EuWOk5OsCNO0etspOZspKrJiLYvJWhTVsZ+sHr0Ur4hBZaCdK2lay0IAjqBGOYRNll+MU+sJjKc8I5b5QXk5uApc1CYxbNChq5ihQLA/NuUGJ0hBe3uOz3kponD1ang33d62Oa+gkvDBBfv2j06tzv4Gc4+3muU64vZzundN7gvQo7cmleyRJ3bR1phE11GjRrDF1zBUPXXgEaVC+h9+gR8oUlkoPHkc0GOstIj82QHDi8SkPWIOzaXXfjXmQoCeoxzR1TiECy9MgJ2vtPk546Seu+faSzrSe8lSPGAJ3vPspwo4eWQUGIWZmXAOhzlBz8LoQ1OXVj0lJiBxGsnJhaCShJkYYYrZwQWkLeAKfKDRKMScb+JsaGqI9dSP3CC93jirYJu8QlaBkj5CRaQuY0f5SkthK8KWqwMYJVCVKZQS5r0IIefVqgvkvsHuBCGGVSOl7uvw3zc/cRSptbSceUCrJauREDbVoFWoAK+wl0X7tKyOr93/MaK5wxB9dqXoe8VpZ8S7+7cbVCng+PGtiLRC769idhBQ8wccqqZ0Keu7Lmrw8iRTTapPaaLTRuMh3JZuboHTlNcvwM2ZklgtEmYnGR7smFsw9QCedFkCd+7HXIZr3PrmHsN9d5Qqm1hl4PtdxF1CKC4bpRdfUS8oUW+XyLYHSIcHIU0aghhADOrXjzE8Gli/S2ZoShK0L3eSe6NE99jhK6+F7WF/SfM/C77j9HO08IWWIOAt1/3SAB1va+Wvfft0SgdUli0IXzZLEY7X2Eu1epbSsI5hMQp7NKn6ve6Ek2ioHv50pgz/lZfVJtPyN2tjY82TPO/rCBa7w2ov+B/o5uXRBS270HgOZLzK9CgOp1aH/zu2d//hpCHpq0iOFrfgjZqCNChRMew10wWhpcneWotskxLoaGEHEEWYbq9Mjn5tF5Sjg5Sjg5jIhCFkrhL45nL68RrZwzp/DhMU+kCOlDmVm3hFj2ZN++riKzTmUqVpqF3L0DyBpAffXfB5nYPo2XLhhdR9BX+/1sUuZZ+7bas8vHy5qrVaADw0znq0inQJ+WTAw0oqwtcif0zfuzMRDn0Hbjtb36+SpmhTQ9+BzHXK14vJOQpbnIvGsxwPgL9++c4IUSocltOcji4mHYsI14A8RW8gYIOl3mvvb+J733+RWXaCfnNuKEIIchg3zejX4M9Unkxkk0kHaB7tl0pGfB4KPP49KVNzmPi5/s1KfQjrNe4ti5J+I4B81f59OWVd7fqot71WOrNOp8+/4MjOUTEtjVmnw2afpJrgNWKHzOpy0aUJ3eWX9fa9gerDMfZlOomyJyXs23yloURAgZQRtom/g3SY1g2FSNIgN9CkAVkROrDZdjtCyl7OOBn4hglRwoHDGUT5CQQWOTL2XCe/k+Ye2PAa2SLh0TeoDp5ixde0p71tnbcS7nPaEZ6cnwRAz02d7fE91Ol54vDYOgnAbhbBGB9rhz6hpU7T9VrHq5KMym7qQn1MStdkzoFXOV7rkJnedkQ+52u2zfuYOZk6ee7NQKFSo8CTZs3MiB/fup188ieq0RzCwscNmei5k5dfLZbkqFCs95bNy4kf1Psu7PiSCDIcpJ8txJ+1ehwlpFHMdrnhg7VOu+QoWnB+ey7s+ZIFeoUKFChQoVnjk8kTWyQoUKFSpUqPB3hIogV6hQoUKFCmsAFUGuUKFChQoV1gAqglyhQoUKFSqsAVQEuUKFChUqVFgDqAhyhQoVKlSosAZQEeQKFSpUqFBhDaAiyBUqVKhQocIaQEWQK1SoUKFChTWAiiBXqFChQoUKawAVQa5QoUKFChXWACqCXKFChQoVKqwBVAS5QoUKFSpUWAOoCHKFChUqVKiwBlAR5AoVKlSoUGENoCLIFSpUqFChwhpARZArVKhQoUKFNYCKIFeoUKFChQprABVBrlChQoUKFdYAKoJcoUKFChUqrAFUBLlChQoVKlRYAwif7QZUeHbQ7XZJkuTZbkaFChXOgjiOqdfrz3YzKvwdoiLIL0B0u13GGhMkdJ/tplSoUOEs2LhxI/v376+I8gsIFUF+ASJJEhK63CDeSCRjEBIhBQgB9q8IApDSHBMCIaT/zZwni/P98dI5FPfTUhrjiCiu10KUjmG/2+PCHNf2dy36z9OB+2x/xzzOXI//TcuB89xvkr7jxefV/pZ+l2c5j7Nd2/93xefS/eAsnweei9Bnv5/QA23RxT3ctbI4LgbPwR3XiIFzzLHytdo0TWr7mrW/rvxd4s5TxTF33H0u/Q8Gj+E+2+sxxyKZ298UUkCARthzAqGRmM+RyAmEQqAJhEIKRQD2r70e5c+T7jwUEghw1ygCoYlEZn8z5wW2Pe6zEJqY3LQDbZ+BaSsQCAgQSCASEolAIgiEQCLtZ0lrSbPj6gMkSVIR5BcQKoL8AkZIRCgiQ5AdQfUEOCi+yyciyHJ1guzPOxeCbL8HT5Ege8L11AiyPhuhPVeC/CSE+JwIsjg7QdbnSpDl00iQ5eoEuSDUBaF9UoIsIDhHghxaono2guy+9xNkXRDXFQRZ9hPaEiEu/ioiIVYQ5EBoQzyFIEBYgmyPoQmEsARZWUJr2hbbv2WCHJyFIAdnIcgS/fQs8grPKVROXRUqVKhQocIaQEWQK1SoUKFChTWAiiBXqFChQoUKawAVQa5QoUKFChXWACqCXKFChQoVKqwBVAS5QoUKFSpUWAOoCHKFChUqVKiwBlAR5AoVKlSoUGENoCLIFSpUqFChwhpAlanrBYyMFGFTUImBtFJCB0VKK2UzdbnUTcKmrRKlNFAuU1eR3sn81QKtJWhWZuryx2xGLH2Ombr0QAYu+L4ydVWpM91zzz91prapM/VApi73XePOO7dMXfocU2fqc0ydqc4xdWZ2zqkz83NInalWZOpaPXUmA6kzsZ+htVRl6nohoiLIL0BorRkeHuZrrc9A/my3pkKFCqthdHSUOI6f7WZU+DtERZBfgBBC0Gq1OHz4MKOjo+d9/TXXXMNdd931lM5Z7fjgsfL31T67v4uLi2zbtu0Z68cT/f5EbX6i74P9+eIXv/iM9uGJznk+vIvz7cNqbXfH1tq7uPbaa6vCEi8wVAT5BYzR0dGntPEEQfCk153tnNWODx4rf1/t8+D5z1Q/nuj3J2rzE30/W9+qd/HU3sX59uFsbV+L70LKysXnhYbqjVc4b7z73e9+yuesdnzwWPn7ap/P5fnngie7zxP9/kRtfqLvZ+vbU8UL/V2cbx/K359r76LC8x9Ca115D7zAsLi4yNjYGAsLC09JElgreD704/nQB3h+9OP50IcKz21UEvILELVajfe///3UarVnuynfF54P/Xg+9AGeH/14PvShwnMblYRcoUKFChUqrAFUEnKFChUqVKiwBlAR5AoVKlSoUGENoCLIFSpUqFChwhpARZArVKhQoUKFNYCKIFeoUKFChQprABVBrvCk+I3f+A0uu+wy9u7dy8///M/zXHPMf/jhh7nyyiv9/0ajwV/8xV882806b+zfv59Xv/rV7N27lyuuuILl5eVnu0lPCWEY+nfx9re//dluzlNGu91mx44dvPe97322m1LheYIq7KnCE2JmZobrrruO733ve0RRxCtf+Uo+/OEP87KXvezZbtpTQqvVYufOnRw8eJChoaFnuznnhVe96lX8u3/373jFK17B7Owso6OjhOFzL/vt9PQ0p0+ffrab8X3jX//rf82+ffvYvn07H/7wh5/t5lR4HqCSkCs8KbIso9vtkqYpaZqyfv36Z7tJTxmf/vSnufHGG59zxNgxRK94xSsAmJycfE4S4+cL9u3bx0MPPcTrX//6Z7spFZ5HqAjycxy33XYbP/RDP8TmzZsRQqyqiv3IRz7Crl27qNfrXH311dx+++3nfP9169bx3ve+l+3bt7N582Zuuukmdu/e/TT24JnvQxmf/OQn+fEf//Hvs8Ur8Uz3Yd++fQwPD/OmN72Jq666il/5lV95Gltf4O/iXSwuLnL11Vdzww038NWvfvVpanmBv4s+vPe97+WDH/zg09TiChUMKhb7OY7l5WVe9KIX8Y//8T/mLW95y4rf//iP/5hf+IVf4CMf+Qgvf/nL+Z3f+R1uvfVWHnjgAbZv3w7A1VdfTa/XW3Ht5z//eRqNBp/5zGc4cOAAjUaDW2+9ldtuu41XvvKVz5k+bN68GTCE4I477uATn/jE09b2v6s+pGnK7bffzr333sv69eu55ZZbuOaaa3jta1/7nOrH5s2bOXDgAJs3b+b+++/nDW94A/fdd9/Tmjv6me7DXXfdxZ49e9izZw933nnn09buChXQFZ43APSf//mf9x279tpr9Tvf+c6+Y5dccol+3/ved073/OQnP6nf9a53+e8f+tCH9K/+6q9+3209G56JPjh8/OMf1//oH/2j77eJT4pnog933nmnft3rXue/f+hDH9If+tCHvu+2PhGeyXfhcMstt+i77rrrqTbxSfFM9OF973uf3rp1q96xY4eemprSo6Oj+pd/+ZefriZXeAGjUlk/j5EkCffccw8333xz3/Gbb775nDn7bdu2ceedd9LtdsnznK985StcfPHFz0RzV8XT0QeHZ0pd/WR4OvpwzTXXcPLkSebm5lBKcdttt3HppZc+E809K56OfszNzXnJ88iRIzzwwANccMEFT3tbz4anow8f/OAHOXz4MAcOHODDH/4wP/uzP8sv/dIvPRPNrfACQ6Wyfh7j9OnT5HnOhg0b+o5v2LCBEydOnNM9rrvuOl7/+tfz4he/GCklN954I29605ueieauiqejDwALCwt885vf5FOf+tTT3cQnxdPRhzAM+ZVf+RVe+cpXorXm5ptv5o1vfOMz0dyz4unox4MPPsjP/dzPIaVECMF//I//kcnJyWeiuavi6ZpPFSo8E6gI8gsAQoi+71rrFceeCB/4wAf4wAc+8HQ367zw/fZhbGyMkydPPt3NOi98v3249dZbufXWW5/uZp03vp9+XH/99dx3333PRLPOC9/vu3D46Z/+6aepRRUqVF7Wz2tMT08TBMEKzv/UqVMrJIS1iqoPawfPh348H/pQ4fmLiiA/jxHHMVdffTVf+MIX+o5/4Qtf4Prrr3+WWnV+qPqwdvB86MfzoQ8Vnr+oVNbPcbRaLR599FH/ff/+/dx7771MTk6yfft23vOe9/DWt76Vl7zkJbzsZS/jd3/3dzl06BDvfOc7n8VW96Pqw9rB86Efz4c+VHiB4tl08a7w/ePLX/6yBlb8f9vb3ubP+a3f+i29Y8cOHcexvuqqq/RXv/rVZ6/Bq6Dqw9rB86Efz4c+VHhhosplXaFChQoVKqwBVDbkChUqVKhQYQ2gIsgVKlSoUKHCGkBFkCtUqFChQoU1gIogV6hQoUKFCmsAFUGuUKFChQoV1gAqglyhQoUKFSqsAVQEuUKFChUqVFgDqAhyhQoVKlSosAZQEeQKFSpUqFBhDaAiyBUqVKhQocIaQEWQK1SoUKFChTWAiiBXqFChQoUKawD/P4vGfZLWqxDUAAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 600x200 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "# set up figure\n",
-    "fig = plt.figure(figsize=figsize)\n",
-    "gs = GridSpec(2, 2, height_ratios=[1, 0.1], hspace=0.2)#, wspace=0.5)\n",
+    "rg_list = [[]]*len(dsets)\n",
     "\n",
-    "# specify the projection\n",
-    "proj = ccrs.PlateCarree()\n",
+    "for i, dset_id in enumerate(dsets):\n",
+    "    wf = ops.AverageByTime(\n",
+    "        ops.Regrid(\n",
+    "            ops.Subset(\n",
+    "                ops.Input('pr', [dset_id]),\n",
+    "                time='2010/2010'\n",
+    "            ),\n",
+    "            method='nearest_s2d',\n",
+    "            grid='1pt25deg'\n",
+    "        )\n",
+    "    )\n",
     "\n",
-    "# set up plots for each model\n",
-    "ax1 = plt.subplot(gs[0, 0], projection=proj)\n",
-    "ax2 = plt.subplot(gs[0, 1], projection=proj)\n",
-    "ax1.set_global()\n",
-    "ax2.set_global()\n",
     "\n",
-    "# axis where the colorbar will go\n",
-    "ax_cb = plt.subplot(gs[1, :]) \n",
-    "ax_cb.axis(\"off\")\n",
-    "\n",
-    "# plot on the axes\n",
-    "pcm1 = ax1.pcolormesh(pr1t.lon, pr1t.lat, pr1t, norm=mcolors.LogNorm(vmin=vmin, vmax=vmax),\n",
-    "                     transform=proj)\n",
-    "pcm2 = ax2.pcolormesh(pr2t.lon, pr2t.lat, pr2t, norm=mcolors.LogNorm(vmin=vmin, vmax=vmax), \n",
-    "                     transform=proj)\n",
-    "\n",
-    "# add coastlines \n",
-    "ax1.add_feature(cfeature.COASTLINE)\n",
-    "ax2.add_feature(cfeature.COASTLINE)\n",
-    "\n",
-    "\n",
-    "\n",
-    "# since the colormap/scale is the same, we can use either pcolormesh to \n",
-    "# set the colorbar\n",
-    "ax_cb_ins = inset_axes(ax_cb, width=\"50%\", height=\"100%\", loc=\"center\")\n",
-    "cbar = plt.colorbar(pcm1, cax=ax_cb_ins, orientation=\"horizontal\")\n",
+    "    resp = wf.orchestrate()\n",
     "    \n",
-    "\n",
-    "plt.show()\n"
+    "    # if it worked, add the regridded dataset to our list\n",
+    "    if resp.ok:\n",
+    "        rg_list[i] = resp.datasets()[0]\n",
+    "        \n",
+    "    # if it failed, tell us why\n",
+    "    else:\n",
+    "        print(resp.status)\n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dfb8efaf-a4ab-4709-b1eb-a38c6f4bade2",
+   "metadata": {},
+   "source": [
+    "Print the list of regridded datasets to get an overview of the metadata structure. Note how `lat` and `lon` are now the same and each dataset has additional attributes, including `grid_original` and `regrid_operation`, which all keep track of the regridding operations we just completed."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e38e4a39-0465-4ed8-8a5c-6bdcd61d77c1",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(rg_list)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "f63dfd8d-5e22-448b-874c-3994ecdf1e98",
+   "id": "d048801f-fb36-46b2-84af-f1b61768727c",
    "metadata": {},
    "source": [
-    "### Try to find the difference in precip between the models"
+    "Now they are on the same grid!"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
-   "id": "a3f7d020-a705-4729-abaa-05103e005567",
+   "execution_count": null,
+   "id": "59b6fefa-90e7-49c7-b816-27351a0f51f4",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "pr_diff = pr1t - pr2t"
+    "print(rg_list[0].grid)\n",
+    "print(rg_list[1].grid)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "a5866f39-481b-4287-9acb-c818913f5eba",
+   "id": "168c41e8-7ae2-4ee6-9020-94f9de00500d",
    "metadata": {},
    "source": [
-    "No y dimension because the grids have different latitudes!"
+    "### Quick plot the before and after for each model\n",
+    "The plots largely look the same, as they should - with the nearest neighbors method, we are just shifting the precipitation data onto a different grid without averaging between grid cells."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
-   "id": "1ddadb78-772b-449e-9345-cf9b62e37cf3",
+   "execution_count": null,
+   "id": "a9d5213f-65a1-415f-b3fe-6860d70fd14d",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "data": {
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-       "\n",
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-       "\n",
-       ".xr-attrs dt:hover span {\n",
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-       "\n",
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-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
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-       "  width: 1em;\n",
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-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 0, lon: 72)&gt; Size: 0B\n",
-       "dask.array&lt;subtract, shape=(0, 72), dtype=float32, chunksize=(0, 72), chunktype=numpy.ndarray&gt;\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 0B \n",
-       "  * lon      (lon) float64 576B 2.5 7.5 12.5 17.5 ... 342.5 347.5 352.5 357.5</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 0</li><li><span class='xr-has-index'>lon</span>: 72</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a501b0f1-0d45-44f5-be5d-73aa7c2af24d' class='xr-array-in' type='checkbox' checked><label for='section-a501b0f1-0d45-44f5-be5d-73aa7c2af24d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(0, 72), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 0 B </td>\n",
-       "                        <td> 0 B </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (0, 72) </td>\n",
-       "                        <td> (0, 72) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 1 chunks in 14 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        \n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-e4295f62-7566-40fa-a59e-09f6ebc7176e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4295f62-7566-40fa-a59e-09f6ebc7176e' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'></div><input id='attrs-e925370b-30e4-48e3-9bcf-4002cb15fec5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e925370b-30e4-48e3-9bcf-4002cb15fec5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26417f97-e722-40e6-9520-dce70c07bba2' class='xr-var-data-in' type='checkbox'><label for='data-26417f97-e722-40e6-9520-dce70c07bba2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>title :</span></dt><dd>Latitude</dd><dt><span>type :</span></dt><dd>double</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd></dl></div><div class='xr-var-data'><pre>array([], dtype=float64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5 7.5 12.5 ... 347.5 352.5 357.5</div><input id='attrs-9cf587cd-6fee-48b3-b683-25fb0b3f0163' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cf587cd-6fee-48b3-b683-25fb0b3f0163' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c38e2f0-6b3b-4e07-aa6d-ea87b348df57' class='xr-var-data-in' type='checkbox'><label for='data-9c38e2f0-6b3b-4e07-aa6d-ea87b348df57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>title :</span></dt><dd>Longitude</dd><dt><span>type :</span></dt><dd>double</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>360.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([  2.5,   7.5,  12.5,  17.5,  22.5,  27.5,  32.5,  37.5,  42.5,  47.5,\n",
-       "        52.5,  57.5,  62.5,  67.5,  72.5,  77.5,  82.5,  87.5,  92.5,  97.5,\n",
-       "       102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5,\n",
-       "       152.5, 157.5, 162.5, 167.5, 172.5, 177.5, 182.5, 187.5, 192.5, 197.5,\n",
-       "       202.5, 207.5, 212.5, 217.5, 222.5, 227.5, 232.5, 237.5, 242.5, 247.5,\n",
-       "       252.5, 257.5, 262.5, 267.5, 272.5, 277.5, 282.5, 287.5, 292.5, 297.5,\n",
-       "       302.5, 307.5, 312.5, 317.5, 322.5, 327.5, 332.5, 337.5, 342.5, 347.5,\n",
-       "       352.5, 357.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-41feae7f-3f26-4df5-a5d2-a859bb7c3961' class='xr-section-summary-in' type='checkbox'  ><label for='section-41feae7f-3f26-4df5-a5d2-a859bb7c3961' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-de434c4a-0206-4e35-b2aa-68ccec8727e6' class='xr-index-data-in' type='checkbox'/><label for='index-de434c4a-0206-4e35-b2aa-68ccec8727e6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([], dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b1fada1f-48c6-4871-b3dc-cbbfbd5f7b83' class='xr-index-data-in' type='checkbox'/><label for='index-b1fada1f-48c6-4871-b3dc-cbbfbd5f7b83' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  2.5,   7.5,  12.5,  17.5,  22.5,  27.5,  32.5,  37.5,  42.5,  47.5,\n",
-       "        52.5,  57.5,  62.5,  67.5,  72.5,  77.5,  82.5,  87.5,  92.5,  97.5,\n",
-       "       102.5, 107.5, 112.5, 117.5, 122.5, 127.5, 132.5, 137.5, 142.5, 147.5,\n",
-       "       152.5, 157.5, 162.5, 167.5, 172.5, 177.5, 182.5, 187.5, 192.5, 197.5,\n",
-       "       202.5, 207.5, 212.5, 217.5, 222.5, 227.5, 232.5, 237.5, 242.5, 247.5,\n",
-       "       252.5, 257.5, 262.5, 267.5, 272.5, 277.5, 282.5, 287.5, 292.5, 297.5,\n",
-       "       302.5, 307.5, 312.5, 317.5, 322.5, 327.5, 332.5, 337.5, 342.5, 347.5,\n",
-       "       352.5, 357.5],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-29a44947-e558-4312-bdc5-e35735c7c287' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-29a44947-e558-4312-bdc5-e35735c7c287' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'pr' (lat: 0, lon: 72)> Size: 0B\n",
-       "dask.array<subtract, shape=(0, 72), dtype=float32, chunksize=(0, 72), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 0B \n",
-       "  * lon      (lon) float64 576B 2.5 7.5 12.5 17.5 ... 342.5 347.5 352.5 357.5"
-      ]
-     },
-     "execution_count": 143,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pr_diff"
+   "outputs": [],
+   "source": [
+    "print(dset_list[0].source_id)\n",
+    "for ds in [dset_list[0], rg_list[0]]:\n",
+    "    ds.pr.plot(norm=mcolors.LogNorm())\n",
+    "    plt.show()\n"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "dfc3c800-984d-40a5-a492-a3b2f1003491",
-   "metadata": {},
+   "id": "0fabcf8b-c9e2-40c4-b7e1-ce7de3809d29",
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
-   "source": []
+   "source": [
+    "print(dset_list[1].source_id)\n",
+    "for ds in [dset_list[1], rg_list[1]]:\n",
+    "    ds.pr.plot(norm=mcolors.LogNorm())\n",
+    "    plt.show()\n"
+   ]
   },
   {
    "cell_type": "markdown",
-   "id": "38ae8179-67f8-4146-a047-300ba9965d91",
+   "id": "36031d82-c46f-4da5-8cbb-82067ade465b",
    "metadata": {},
    "source": [
-    "## Try regridding\n",
-    "See docs here: https://github.com/roocs/rooki/blob/master/notebooks/demo/demo-rooki-regrid-cmip6.ipynb"
+    "#### Take the difference between precipitation datasets and plot it\n",
+    "Now that both models are on the same grid, we can subtract the precipitation datasets and plot the difference!"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "eafdef10-a4c2-4265-8df8-6a208aa43000",
+   "execution_count": null,
+   "id": "4f781e26-0c43-45e9-be89-31d3575f4c99",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "import os\n",
-    "os.environ['ROOK_URL'] = 'http://rook.dkrz.de/wps'\n",
+    "pr_diff = rg_list[0] - rg_list[1]\n",
     "\n",
-    "from rooki import rooki\n",
-    "from rooki import operators as ops\n"
+    "pr_diff.pr.plot(cmap=\"bwr\")\n",
+    "plt.show()\n"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "d4cc8767-09b6-4d13-b614-e36bc8202752",
+   "id": "e1fc1957-c334-4431-9e0a-15715106b5d6",
+   "metadata": {},
+   "source": [
+    "### Plot everything together\n",
+    "Plot the regridded precipitation data as well as the difference between models on the same figure. We can use `Cartopy` to make it pretty. With `GridSpec`, we can also split up the figure and organize it to use the same colorbar for more than one panel."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "86ab0c4a-ce76-48ab-843d-e79333bdd58c",
    "metadata": {
     "tags": []
    },
+   "outputs": [],
    "source": [
-    "View available grid types/regrid methods:"
+    "# set up figure\n",
+    "fig = plt.figure(figsize=(6, 8))\n",
+    "gs = GridSpec(3, 2, width_ratios=[1, 0.1], hspace=0.2)\n",
+    "\n",
+    "# specify the projection\n",
+    "proj = ccrs.Mollweide()\n",
+    "\n",
+    "# set up plots for each model\n",
+    "axpr_1 = plt.subplot(gs[0, 0], projection=proj)\n",
+    "axpr_2 = plt.subplot(gs[1, 0], projection=proj)\n",
+    "axdiff = plt.subplot(gs[2, 0], projection=proj)\n",
+    "\n",
+    "# axes where the colorbar will go \n",
+    "axcb_pr = plt.subplot(gs[:2, 1]) \n",
+    "axcb_diff = plt.subplot(gs[2, 1])\n",
+    "axcb_pr.axis(\"off\")\n",
+    "axcb_diff.axis(\"off\")\n",
+    "\n",
+    "# plot the precipitation for both models\n",
+    "for i, ax in enumerate([axpr_1, axpr_2]):\n",
+    "    ds_rg = rg_list[i]\n",
+    "    pcm = ax.pcolormesh(ds_rg.lon, ds_rg.lat, ds_rg.pr.isel(time=0), norm=mcolors.LogNorm(vmin=1e-7, vmax=3e-4),\n",
+    "                         transform=ccrs.PlateCarree()\n",
+    "                       )\n",
+    "    ax.set_title(ds_rg.parent_source_id)\n",
+    "    ax.add_feature(cfeature.COASTLINE)\n",
+    "    \n",
+    "# now plot the difference\n",
+    "pcmd = axdiff.pcolormesh(pr_diff.lon, pr_diff.lat, pr_diff.pr.isel(time=0), cmap=\"bwr\", vmin=-3e-4, vmax=3e-4,\n",
+    "                         transform=ccrs.PlateCarree()\n",
+    "                        )\n",
+    "axdiff.set_title(\"{a} - {b}\".format(a=rg_list[0].parent_source_id, b=rg_list[1].parent_source_id))\n",
+    "axdiff.add_feature(cfeature.COASTLINE)\n",
+    "\n",
+    "# set the precipitation colorbar\n",
+    "axcb_pr_ins = inset_axes(axcb_pr, width=\"50%\", height=\"75%\", loc=\"center\")\n",
+    "cbar_pr = plt.colorbar(pcm, cax=axcb_pr_ins, orientation=\"vertical\", extend=\"both\")\n",
+    "cbar_pr.set_label(\"{n} ({u})\".format(n=rg_list[0].pr.long_name, u=rg_list[0].pr.units))\n",
+    "\n",
+    "# set the difference colorbar\n",
+    "axcb_diff_ins = inset_axes(axcb_diff, width=\"50%\", height=\"100%\", loc=\"center\")\n",
+    "cbar_diff = plt.colorbar(pcmd, cax=axcb_diff_ins, orientation=\"vertical\", extend=\"both\")\n",
+    "cbar_diff.set_label(\"Difference ({u})\".format(u=pr_diff.pr.units))\n",
+    "\n",
+    "plt.show()\n"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "03b9e64d-dcb2-49d6-b622-9f5ce2164d8a",
+   "cell_type": "markdown",
+   "id": "a77d6b7b-5729-4ba3-9e72-6f960dbe3253",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\u001b[0;31mSignature:\u001b[0m \u001b[0mrooki\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregrid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcollection\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'nearest_s2d'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrid\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'auto'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-       "\u001b[0;31mDocstring:\u001b[0m\n",
-       "Run regridding operator on climate model data using daops (xarray).\n",
-       "\n",
-       "Parameters\n",
-       "----------\n",
-       "collection : string\n",
-       "    A dataset identifier or list of comma separated identifiers. Example: c3s-cmip5.output1.ICHEC.EC-EARTH.historical.day.atmos.day.r1i1p1.tas.latest\n",
-       "method : {'nearest_s2d', 'bilinear', 'conservative', 'patch'}string\n",
-       "    Please specify regridding method like consevative or bilinear. Default: nearest_s2d\n",
-       "grid : {'auto', '0pt25deg', '0pt25deg_era5', '0pt5deg_lsm', '0pt625x0pt5deg', '0pt75deg', '1deg', '1pt25deg', '2pt5deg'}string\n",
-       "    Please specify output grid resolution for regridding. Default: auto\n",
-       "\n",
-       "Returns\n",
-       "-------\n",
-       "output : ComplexData:mimetype:`application/metalink+xml; version=4.0`\n",
-       "    Metalink v4 document with references to NetCDF files.\n",
-       "prov : ComplexData:mimetype:`application/json`\n",
-       "    Provenance document using W3C standard.\n",
-       "prov_plot : ComplexData:mimetype:`image/png`\n",
-       "    Provenance document as diagram.\n",
-       "\u001b[0;31mFile:\u001b[0m      ~/esgf-cookbook/notebooks/</srv/conda/envs/notebook/lib/python3.10/site-packages/birdy/client/base.py-8>\n",
-       "\u001b[0;31mType:\u001b[0m      method"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
    "source": [
-    "rooki.regrid?"
+    "## Example 2: Coarsen the output for one model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "919dd269-6a7a-48d9-a477-f1e76ed48d11",
+   "metadata": {},
+   "source": [
+    "We can also use `Rooki` to regrid the data from one model onto a coarser grid. In this case, it may make more sense to use a conservative regridding method, which will conserve the physical fluxes between grid cells, rather than the nearest neighbors method we used in Example 1. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d32f8ab0-05ef-41a6-a599-f4a289103c2e",
+   "metadata": {},
+   "source": [
+    "### Get the data using intake-esgf and Rooki again"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "f666385e-a021-45e2-8b8a-6092b6c2c541",
+   "id": "81cdf527-cec0-4353-98d7-29cc3effa014",
    "metadata": {},
    "source": [
-    "### Compare 1 degree to 2.5 degrees\n",
-    "#### TODO - extract/search for what the input name should be?\n",
-    "##### Use conservative method here (not nearest neighbors) bc changing the resolution"
+    "In this example, we'll look at the annual mean near-surface air temperature for CESM2 in 2010. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "5ac22bed-bef0-4f47-8699-afd50d3b0f6e",
+   "execution_count": null,
+   "id": "d64f5c8d-6355-4225-b5c8-8f2c344fa241",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "tas = ops.Input(\n",
-    "    'tas', ['c3s-cmip6.ScenarioMIP.INM.INM-CM5-0.ssp245.r1i1p1f1.day.tas.gr1.v20190619']\n",
-    ")\n"
+    "cat = ESGFCatalog()\n",
+    "cat.search(\n",
+    "        activity_id='CMIP',\n",
+    "        experiment_id=[\"historical\",],\n",
+    "        variable_id=[\"tas\"],\n",
+    "        member_id='r1i1p1f1',\n",
+    "        grid_label='gn',\n",
+    "        table_id=\"Amon\",\n",
+    "        source_id = [ \"CESM2\"]\n",
+    "    )\n",
+    "\n",
+    "dsets = [separate_dataset_id(dataset) for dataset in list(cat.df.id.values)]\n",
+    "dsets\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a647dc7d-e107-49ef-87de-08dbf9024cd2",
+   "metadata": {},
+   "source": [
+    "First, get the dataset with the original grid:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "b9054b55-07be-482f-8287-289a399d751f",
+   "execution_count": null,
+   "id": "9c70d292-6e0e-43dd-b64e-5b143e38590e",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Downloading to /tmp/metalink_uajgyg7n/tas_day_INM-CM5-0_ssp245_r1i1p1f1_gr1_20160101-20161231.nc.\n"
-     ]
-    },
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-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 32MB\n",
-       "Dimensions:    (time: 365, bnds: 2, lat: 120, lon: 180)\n",
-       "Coordinates:\n",
-       "  * time       (time) object 3kB 2016-01-01 12:00:00 ... 2016-12-31 12:00:00\n",
-       "  * lat        (lat) float64 960B -89.25 -87.75 -86.25 ... 86.25 87.75 89.25\n",
-       "  * lon        (lon) float64 1kB 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n",
-       "    height     float64 8B ...\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) object 6kB ...\n",
-       "    lat_bnds   (lat, bnds) float64 2kB ...\n",
-       "    lon_bnds   (lon, bnds) float64 3kB ...\n",
-       "    tas        (time, lat, lon) float32 32MB ...\n",
-       "Attributes: (12/47)\n",
-       "    Conventions:            CF-1.7 CMIP-6.2\n",
-       "    activity_id:            ScenarioMIP\n",
-       "    branch_method:          standard\n",
-       "    branch_time_in_child:   60225.0\n",
-       "    branch_time_in_parent:  60225.0\n",
-       "    contact:                Evgeny Volodin (volodinev@gmail.com)\n",
-       "    ...                     ...\n",
-       "    title:                  INM-CM5-0 output prepared for CMIP6\n",
-       "    tracking_id:            hdl:21.14100/89cab4a2-c867-4bb5-a215-622f969cd844\n",
-       "    variable_id:            tas\n",
-       "    variant_label:          r1i1p1f1\n",
-       "    license:                CMIP6 model data produced by Lawrence Livermore P...\n",
-       "    cmor_version:           3.4.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-59dd74b1-05b1-46da-a1eb-0190c16531d9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59dd74b1-05b1-46da-a1eb-0190c16531d9' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 365</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 120</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3514f78f-49aa-4ed0-89ac-a77a498a8e73' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3514f78f-49aa-4ed0-89ac-a77a498a8e73' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2016-01-01 12:00:00 ... 2016-12-...</div><input id='attrs-665ffca5-de7f-4c4d-aeea-e76a6a08a5a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-665ffca5-de7f-4c4d-aeea-e76a6a08a5a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b8a0f07-e943-45e5-9fe3-a94f911bddd3' class='xr-var-data-in' type='checkbox'><label for='data-3b8a0f07-e943-45e5-9fe3-a94f911bddd3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2016, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2016, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2016, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
-       "       cftime.DatetimeNoLeap(2016, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2016, 12, 30, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2016, 12, 31, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.25 -87.75 ... 87.75 89.25</div><input id='attrs-ec914530-0979-439c-a1bc-a802b7232a1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec914530-0979-439c-a1bc-a802b7232a1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6194361b-0319-4a83-b69c-c972f126c448' class='xr-var-data-in' type='checkbox'><label for='data-6194361b-0319-4a83-b69c-c972f126c448' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89.25, -87.75, -86.25, -84.75, -83.25, -81.75, -80.25, -78.75, -77.25,\n",
-       "       -75.75, -74.25, -72.75, -71.25, -69.75, -68.25, -66.75, -65.25, -63.75,\n",
-       "       -62.25, -60.75, -59.25, -57.75, -56.25, -54.75, -53.25, -51.75, -50.25,\n",
-       "       -48.75, -47.25, -45.75, -44.25, -42.75, -41.25, -39.75, -38.25, -36.75,\n",
-       "       -35.25, -33.75, -32.25, -30.75, -29.25, -27.75, -26.25, -24.75, -23.25,\n",
-       "       -21.75, -20.25, -18.75, -17.25, -15.75, -14.25, -12.75, -11.25,  -9.75,\n",
-       "        -8.25,  -6.75,  -5.25,  -3.75,  -2.25,  -0.75,   0.75,   2.25,   3.75,\n",
-       "         5.25,   6.75,   8.25,   9.75,  11.25,  12.75,  14.25,  15.75,  17.25,\n",
-       "        18.75,  20.25,  21.75,  23.25,  24.75,  26.25,  27.75,  29.25,  30.75,\n",
-       "        32.25,  33.75,  35.25,  36.75,  38.25,  39.75,  41.25,  42.75,  44.25,\n",
-       "        45.75,  47.25,  48.75,  50.25,  51.75,  53.25,  54.75,  56.25,  57.75,\n",
-       "        59.25,  60.75,  62.25,  63.75,  65.25,  66.75,  68.25,  69.75,  71.25,\n",
-       "        72.75,  74.25,  75.75,  77.25,  78.75,  80.25,  81.75,  83.25,  84.75,\n",
-       "        86.25,  87.75,  89.25])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-a196d3e7-e7c4-4c59-8a9c-ac0760956b45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a196d3e7-e7c4-4c59-8a9c-ac0760956b45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2110392-04a3-4cf5-8ae8-f1f9651dc9bc' class='xr-var-data-in' type='checkbox'><label for='data-c2110392-04a3-4cf5-8ae8-f1f9651dc9bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,\n",
-       "        24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,\n",
-       "        48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,\n",
-       "        72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,\n",
-       "        96.,  98., 100., 102., 104., 106., 108., 110., 112., 114., 116., 118.,\n",
-       "       120., 122., 124., 126., 128., 130., 132., 134., 136., 138., 140., 142.,\n",
-       "       144., 146., 148., 150., 152., 154., 156., 158., 160., 162., 164., 166.,\n",
-       "       168., 170., 172., 174., 176., 178., 180., 182., 184., 186., 188., 190.,\n",
-       "       192., 194., 196., 198., 200., 202., 204., 206., 208., 210., 212., 214.,\n",
-       "       216., 218., 220., 222., 224., 226., 228., 230., 232., 234., 236., 238.,\n",
-       "       240., 242., 244., 246., 248., 250., 252., 254., 256., 258., 260., 262.,\n",
-       "       264., 266., 268., 270., 272., 274., 276., 278., 280., 282., 284., 286.,\n",
-       "       288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,\n",
-       "       312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,\n",
-       "       336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-41a6c534-f540-4c6b-8a2d-c933a2b19aee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41a6c534-f540-4c6b-8a2d-c933a2b19aee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3326a098-3564-44cf-84e8-af79579b75f3' class='xr-var-data-in' type='checkbox'><label for='data-3326a098-3564-44cf-84e8-af79579b75f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-451ebdfd-9573-43d7-8b0a-1004aeacdff5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-451ebdfd-9573-43d7-8b0a-1004aeacdff5' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2265626-0877-4d0c-a165-b424d8bfa18c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2265626-0877-4d0c-a165-b424d8bfa18c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05983b02-b787-4714-987b-956b9849346d' class='xr-var-data-in' type='checkbox'><label for='data-05983b02-b787-4714-987b-956b9849346d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[730 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e146eaab-2a3d-4c20-967e-bbfbd549962a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e146eaab-2a3d-4c20-967e-bbfbd549962a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eda0353-b04d-4df4-8540-22974ba7f6bf' class='xr-var-data-in' type='checkbox'><label for='data-0eda0353-b04d-4df4-8540-22974ba7f6bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[240 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b5463cb9-58dc-4202-8bf3-828f102c4009' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5463cb9-58dc-4202-8bf3-828f102c4009' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2442ade-96b1-49cd-b76a-d880bea8f6d0' class='xr-var-data-in' type='checkbox'><label for='data-d2442ade-96b1-49cd-b76a-d880bea8f6d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[360 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e961e54d-9c87-40e5-a699-0deb491df8d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e961e54d-9c87-40e5-a699-0deb491df8d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df70cd47-12d5-4177-be01-7a724f8c3dec' class='xr-var-data-in' type='checkbox'><label for='data-df70cd47-12d5-4177-be01-7a724f8c3dec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>comment :</span></dt><dd>near-surface (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>tas</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean (interval: 1 day)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-06-18T15:27:32Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd></dl></div><div class='xr-var-data'><pre>[7884000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-32d4485c-5431-4e76-a94a-cec3e0208d82' class='xr-section-summary-in' type='checkbox'  ><label for='section-32d4485c-5431-4e76-a94a-cec3e0208d82' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1b4e2889-aba7-438a-b310-a8ce5cbf2944' class='xr-index-data-in' type='checkbox'/><label for='index-1b4e2889-aba7-438a-b310-a8ce5cbf2944' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([2016-01-01 12:00:00, 2016-01-02 12:00:00, 2016-01-03 12:00:00,\n",
-       "             2016-01-04 12:00:00, 2016-01-05 12:00:00, 2016-01-06 12:00:00,\n",
-       "             2016-01-07 12:00:00, 2016-01-08 12:00:00, 2016-01-09 12:00:00,\n",
-       "             2016-01-10 12:00:00,\n",
-       "             ...\n",
-       "             2016-12-22 12:00:00, 2016-12-23 12:00:00, 2016-12-24 12:00:00,\n",
-       "             2016-12-25 12:00:00, 2016-12-26 12:00:00, 2016-12-27 12:00:00,\n",
-       "             2016-12-28 12:00:00, 2016-12-29 12:00:00, 2016-12-30 12:00:00,\n",
-       "             2016-12-31 12:00:00],\n",
-       "            dtype=&#x27;object&#x27;, length=365, calendar=&#x27;noleap&#x27;, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-45c609a1-11c4-420e-8b86-cf7ace4124ce' class='xr-index-data-in' type='checkbox'/><label for='index-45c609a1-11c4-420e-8b86-cf7ace4124ce' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.25, -87.75, -86.25, -84.75, -83.25, -81.75, -80.25, -78.75, -77.25,\n",
-       "       -75.75,\n",
-       "       ...\n",
-       "        75.75,  77.25,  78.75,  80.25,  81.75,  83.25,  84.75,  86.25,  87.75,\n",
-       "        89.25],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=120))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7c6c0420-7662-4c8b-a192-735f6c6c54ec' class='xr-index-data-in' type='checkbox'/><label for='index-7c6c0420-7662-4c8b-a192-735f6c6c54ec' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,\n",
-       "       ...\n",
-       "       340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8fb2b93d-7aec-4b4a-aa3d-219597f0df5e' class='xr-section-summary-in' type='checkbox'  ><label for='section-8fb2b93d-7aec-4b4a-aa3d-219597f0df5e' class='xr-section-summary' >Attributes: <span>(47)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>60225.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60225.0</dd><dt><span>contact :</span></dt><dd>Evgeny Volodin (volodinev@gmail.com)</dd><dt><span>creation_date :</span></dt><dd>2019-06-18T15:27:34Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>update of RCP4.5 based on SSP2</dd><dt><span>experiment_id :</span></dt><dd>ssp245</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.INM.INM-CM5-0.ssp245.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>gs2x1.5</dd><dt><span>grid_label :</span></dt><dd>gr1</dd><dt><span>history :</span></dt><dd>2019-06-18T15:27:33Z ;rewrote data to be consistent with ScenarioMIP for variable clt found in table day.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Institute for Numerical Mathematics, Russian Academy of Science, Moscow 119991, Russia</dd><dt><span>institution_id :</span></dt><dd>INM</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>INM-CM5-0</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>RJNAMM 2018, 367-374. DOI: 10.1515/rnam-2018-0032</dd><dt><span>run_variant :</span></dt><dd>standard</dd><dt><span>source :</span></dt><dd>INM-CM5-0 (2016): \n",
-       "aerosol: INM-AER1\n",
-       "atmos: INM-AM5-0 (2x1.5; 180 x 120 longitude/latitude; 73 levels; top level sigma = 0.0002)\n",
-       "atmosChem: none\n",
-       "land: INM-LND1\n",
-       "landIce: none\n",
-       "ocean: INM-OM5 (North Pole shifted to 60N, 90E. 0.5x0.25; 720 x 720 longitude/latitude; 40 levels; vertical sigma coordinate)\n",
-       "ocnBgchem: none\n",
-       "seaIce: INM-ICE1</dd><dt><span>source_id :</span></dt><dd>INM-CM5-0</dd><dt><span>source_type :</span></dt><dd>AOGCM AER</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>day</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 February 2019) MD5:951084b632bd52c3f6224e495b1cb65e</dd><dt><span>title :</span></dt><dd>INM-CM5-0 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/89cab4a2-c867-4bb5-a215-622f969cd844</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by Lawrence Livermore PCMDI is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 32MB\n",
-       "Dimensions:    (time: 365, bnds: 2, lat: 120, lon: 180)\n",
-       "Coordinates:\n",
-       "  * time       (time) object 3kB 2016-01-01 12:00:00 ... 2016-12-31 12:00:00\n",
-       "  * lat        (lat) float64 960B -89.25 -87.75 -86.25 ... 86.25 87.75 89.25\n",
-       "  * lon        (lon) float64 1kB 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n",
-       "    height     float64 8B ...\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) object 6kB ...\n",
-       "    lat_bnds   (lat, bnds) float64 2kB ...\n",
-       "    lon_bnds   (lon, bnds) float64 3kB ...\n",
-       "    tas        (time, lat, lon) float32 32MB ...\n",
-       "Attributes: (12/47)\n",
-       "    Conventions:            CF-1.7 CMIP-6.2\n",
-       "    activity_id:            ScenarioMIP\n",
-       "    branch_method:          standard\n",
-       "    branch_time_in_child:   60225.0\n",
-       "    branch_time_in_parent:  60225.0\n",
-       "    contact:                Evgeny Volodin (volodinev@gmail.com)\n",
-       "    ...                     ...\n",
-       "    title:                  INM-CM5-0 output prepared for CMIP6\n",
-       "    tracking_id:            hdl:21.14100/89cab4a2-c867-4bb5-a215-622f969cd844\n",
-       "    variable_id:            tas\n",
-       "    variant_label:          r1i1p1f1\n",
-       "    license:                CMIP6 model data produced by Lawrence Livermore P...\n",
-       "    cmor_version:           3.4.0"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# NO regrid\n",
-    "wf = ops.Subset(tas, time=\"2016/2016\")\n",
+   "outputs": [],
+   "source": [
+    "wf = ops.AverageByTime(\n",
+    "    ops.Subset(\n",
+    "        ops.Input('tas', [dsets[0]]),\n",
+    "        time='2010/2010'\n",
+    "    )\n",
+    ")\n",
     "\n",
     "resp = wf.orchestrate()\n",
-    "resp.ok\n",
     "\n",
-    "ds_g = resp.datasets()[0]\n",
-    "ds_g\n"
+    "if resp.ok:\n",
+    "    ds_og = resp.datasets()[0]\n",
+    "else:\n",
+    "    print(resp.status)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "138de51a-727e-4f47-8876-eccbfc6d74bd",
+   "metadata": {},
+   "source": [
+    "Use the `.grid` attribute to get information on the native grid:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "5cd67a7f-34e3-43a5-aa65-d49796d8548d",
+   "execution_count": null,
+   "id": "b43c0357-ef9e-469d-b2e7-1635d0387ee5",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Downloading to /tmp/metalink_mxgvwncd/tas_day_INM-CM5-0_ssp245_r1i1p1f1_gr_20160101-20161231_regrid-conservative-72x144_cells_grid.nc.\n"
-     ]
-    },
-    {
-     "data": {
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-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1F1F1F;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 15MB\n",
-       "Dimensions:    (lat: 72, lon: 144, bnds: 2, time: 365)\n",
-       "Coordinates:\n",
-       "  * lat        (lat) float64 576B -88.75 -86.25 -83.75 ... 83.75 86.25 88.75\n",
-       "  * lon        (lon) float64 1kB 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
-       "    lat_bnds   (lat, bnds) float64 1kB ...\n",
-       "    lon_bnds   (lon, bnds) float64 2kB ...\n",
-       "  * time       (time) object 3kB 2016-01-01 12:00:00 ... 2016-12-31 12:00:00\n",
-       "    height     float64 8B ...\n",
-       "    time_bnds  (time, bnds) object 6kB ...\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    tas        (time, lat, lon) float32 15MB ...\n",
-       "Attributes: (12/52)\n",
-       "    Conventions:                  CF-1.7 CMIP-6.2\n",
-       "    activity_id:                  ScenarioMIP\n",
-       "    branch_method:                standard\n",
-       "    branch_time_in_child:         60225.0\n",
-       "    branch_time_in_parent:        60225.0\n",
-       "    contact:                      Evgeny Volodin (volodinev@gmail.com)\n",
-       "    ...                           ...\n",
-       "    grid_original:                gs2x1.5\n",
-       "    grid_label_original:          gr1\n",
-       "    nominal_resolution_original:  100 km\n",
-       "    regrid_operation:             conservative_120x180_72x144\n",
-       "    regrid_tool:                  xESMF_v0.8.2\n",
-       "    regrid_weights_uid:           046d352045d899caf55bd49408cff1e6_d4ebf55323...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e43a119f-d790-4ad1-8dcc-fa5eed4157de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e43a119f-d790-4ad1-8dcc-fa5eed4157de' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 72</li><li><span class='xr-has-index'>lon</span>: 144</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 365</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f890d667-acdd-47a3-8e52-cb402be4a010' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f890d667-acdd-47a3-8e52-cb402be4a010' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.75 -86.25 ... 86.25 88.75</div><input id='attrs-d57258e3-78ec-4d41-acc1-8fe9f9d07cfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d57258e3-78ec-4d41-acc1-8fe9f9d07cfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1819c6f-3501-4b78-8025-1c0e0a92da97' class='xr-var-data-in' type='checkbox'><label for='data-f1819c6f-3501-4b78-8025-1c0e0a92da97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-88.75, -86.25, -83.75, -81.25, -78.75, -76.25, -73.75, -71.25, -68.75,\n",
-       "       -66.25, -63.75, -61.25, -58.75, -56.25, -53.75, -51.25, -48.75, -46.25,\n",
-       "       -43.75, -41.25, -38.75, -36.25, -33.75, -31.25, -28.75, -26.25, -23.75,\n",
-       "       -21.25, -18.75, -16.25, -13.75, -11.25,  -8.75,  -6.25,  -3.75,  -1.25,\n",
-       "         1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
-       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
-       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
-       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-29d9d0df-238c-4d1a-9e69-e89dda783f26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d9d0df-238c-4d1a-9e69-e89dda783f26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a21679e-e981-4306-b35b-8f9088542c8f' class='xr-var-data-in' type='checkbox'><label for='data-5a21679e-e981-4306-b35b-8f9088542c8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
-       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
-       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
-       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
-       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
-       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
-       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
-       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
-       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
-       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
-       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
-       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
-       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
-       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
-       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
-       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f26fd0d-ea5a-47de-91bb-92c269963173' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f26fd0d-ea5a-47de-91bb-92c269963173' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00fbb31e-3a57-44ae-b64d-43d411eb11a0' class='xr-var-data-in' type='checkbox'><label for='data-00fbb31e-3a57-44ae-b64d-43d411eb11a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[144 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-32079792-df49-4e81-af24-83fae48f34ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-32079792-df49-4e81-af24-83fae48f34ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cf49407-dc05-4471-943e-b3f3a47a173d' class='xr-var-data-in' type='checkbox'><label for='data-8cf49407-dc05-4471-943e-b3f3a47a173d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[288 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2016-01-01 12:00:00 ... 2016-12-...</div><input id='attrs-5361ae1c-ee8f-43df-b4be-51a88cae695f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5361ae1c-ee8f-43df-b4be-51a88cae695f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec95d0c5-bbdf-4822-88bd-7452a1275185' class='xr-var-data-in' type='checkbox'><label for='data-ec95d0c5-bbdf-4822-88bd-7452a1275185' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2016, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2016, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2016, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
-       "       cftime.DatetimeNoLeap(2016, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2016, 12, 30, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2016, 12, 31, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a813c681-52cf-4309-b1f0-8f9513085483' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a813c681-52cf-4309-b1f0-8f9513085483' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2efd7ba5-bae5-47b6-ac32-fdd9b4d198cc' class='xr-var-data-in' type='checkbox'><label for='data-2efd7ba5-bae5-47b6-ac32-fdd9b4d198cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b21b83e-c2a5-4c91-ab97-eb3a86f3b994' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9b21b83e-c2a5-4c91-ab97-eb3a86f3b994' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ccfeeab-8f71-4b32-8675-ad77474b907a' class='xr-var-data-in' type='checkbox'><label for='data-8ccfeeab-8f71-4b32-8675-ad77474b907a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[730 values with dtype=object]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71ecd0e3-6033-4f47-bf03-6eaa355c38d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71ecd0e3-6033-4f47-bf03-6eaa355c38d0' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18a16e62-d1e1-42fd-9fab-9c6b5d41e24a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18a16e62-d1e1-42fd-9fab-9c6b5d41e24a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31e807c0-15f5-4902-b028-ac8da88ae284' class='xr-var-data-in' type='checkbox'><label for='data-31e807c0-15f5-4902-b028-ac8da88ae284' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>regrid_method :</span></dt><dd>conservative</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>comment :</span></dt><dd>near-surface (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>tas</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean (interval: 1 day)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-06-18T15:27:32Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd></dl></div><div class='xr-var-data'><pre>[3784320 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8a478b3a-698e-4b04-8313-a19a8c47e4f0' class='xr-section-summary-in' type='checkbox'  ><label for='section-8a478b3a-698e-4b04-8313-a19a8c47e4f0' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4469f190-56f4-49ff-ad96-021013adb00f' class='xr-index-data-in' type='checkbox'/><label for='index-4469f190-56f4-49ff-ad96-021013adb00f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-88.75, -86.25, -83.75, -81.25, -78.75, -76.25, -73.75, -71.25, -68.75,\n",
-       "       -66.25, -63.75, -61.25, -58.75, -56.25, -53.75, -51.25, -48.75, -46.25,\n",
-       "       -43.75, -41.25, -38.75, -36.25, -33.75, -31.25, -28.75, -26.25, -23.75,\n",
-       "       -21.25, -18.75, -16.25, -13.75, -11.25,  -8.75,  -6.25,  -3.75,  -1.25,\n",
-       "         1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
-       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
-       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
-       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-80d59baf-337c-4c2b-b24d-8cfc16ae02fb' class='xr-index-data-in' type='checkbox'/><label for='index-80d59baf-337c-4c2b-b24d-8cfc16ae02fb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
-       "        23.75,\n",
-       "       ...\n",
-       "       336.25, 338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25,\n",
-       "       358.75],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=144))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2973ba37-c896-472c-bdc7-af78ba43ebd1' class='xr-index-data-in' type='checkbox'/><label for='index-2973ba37-c896-472c-bdc7-af78ba43ebd1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([2016-01-01 12:00:00, 2016-01-02 12:00:00, 2016-01-03 12:00:00,\n",
-       "             2016-01-04 12:00:00, 2016-01-05 12:00:00, 2016-01-06 12:00:00,\n",
-       "             2016-01-07 12:00:00, 2016-01-08 12:00:00, 2016-01-09 12:00:00,\n",
-       "             2016-01-10 12:00:00,\n",
-       "             ...\n",
-       "             2016-12-22 12:00:00, 2016-12-23 12:00:00, 2016-12-24 12:00:00,\n",
-       "             2016-12-25 12:00:00, 2016-12-26 12:00:00, 2016-12-27 12:00:00,\n",
-       "             2016-12-28 12:00:00, 2016-12-29 12:00:00, 2016-12-30 12:00:00,\n",
-       "             2016-12-31 12:00:00],\n",
-       "            dtype=&#x27;object&#x27;, length=365, calendar=&#x27;noleap&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c1989c88-541f-4045-a9e2-efe55b51c4cd' class='xr-section-summary-in' type='checkbox'  ><label for='section-c1989c88-541f-4045-a9e2-efe55b51c4cd' class='xr-section-summary' >Attributes: <span>(52)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>60225.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60225.0</dd><dt><span>contact :</span></dt><dd>Evgeny Volodin (volodinev@gmail.com)</dd><dt><span>creation_date :</span></dt><dd>2019-06-18T15:27:34Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>update of RCP4.5 based on SSP2</dd><dt><span>experiment_id :</span></dt><dd>ssp245</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.INM.INM-CM5-0.ssp245.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>Global 2.5 degree grid with one cell centered at 1.25E,1.25N.</dd><dt><span>grid_label :</span></dt><dd>gr</dd><dt><span>history :</span></dt><dd>2019-06-18T15:27:33Z ;rewrote data to be consistent with ScenarioMIP for variable clt found in table day.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Institute for Numerical Mathematics, Russian Academy of Science, Moscow 119991, Russia</dd><dt><span>institution_id :</span></dt><dd>INM</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>INM-CM5-0</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>RJNAMM 2018, 367-374. DOI: 10.1515/rnam-2018-0032</dd><dt><span>run_variant :</span></dt><dd>standard</dd><dt><span>source :</span></dt><dd>INM-CM5-0 (2016): \n",
-       "aerosol: INM-AER1\n",
-       "atmos: INM-AM5-0 (2x1.5; 180 x 120 longitude/latitude; 73 levels; top level sigma = 0.0002)\n",
-       "atmosChem: none\n",
-       "land: INM-LND1\n",
-       "landIce: none\n",
-       "ocean: INM-OM5 (North Pole shifted to 60N, 90E. 0.5x0.25; 720 x 720 longitude/latitude; 40 levels; vertical sigma coordinate)\n",
-       "ocnBgchem: none\n",
-       "seaIce: INM-ICE1</dd><dt><span>source_id :</span></dt><dd>INM-CM5-0</dd><dt><span>source_type :</span></dt><dd>AOGCM AER</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>day</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 February 2019) MD5:951084b632bd52c3f6224e495b1cb65e</dd><dt><span>title :</span></dt><dd>INM-CM5-0 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/89cab4a2-c867-4bb5-a215-622f969cd844</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by Lawrence Livermore PCMDI is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>grid_original :</span></dt><dd>gs2x1.5</dd><dt><span>grid_label_original :</span></dt><dd>gr1</dd><dt><span>nominal_resolution_original :</span></dt><dd>100 km</dd><dt><span>regrid_operation :</span></dt><dd>conservative_120x180_72x144</dd><dt><span>regrid_tool :</span></dt><dd>xESMF_v0.8.2</dd><dt><span>regrid_weights_uid :</span></dt><dd>046d352045d899caf55bd49408cff1e6_d4ebf553238ebf865140bded4c8e73b9_peri_no-degen_conservative</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 15MB\n",
-       "Dimensions:    (lat: 72, lon: 144, bnds: 2, time: 365)\n",
-       "Coordinates:\n",
-       "  * lat        (lat) float64 576B -88.75 -86.25 -83.75 ... 83.75 86.25 88.75\n",
-       "  * lon        (lon) float64 1kB 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
-       "    lat_bnds   (lat, bnds) float64 1kB ...\n",
-       "    lon_bnds   (lon, bnds) float64 2kB ...\n",
-       "  * time       (time) object 3kB 2016-01-01 12:00:00 ... 2016-12-31 12:00:00\n",
-       "    height     float64 8B ...\n",
-       "    time_bnds  (time, bnds) object 6kB ...\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    tas        (time, lat, lon) float32 15MB ...\n",
-       "Attributes: (12/52)\n",
-       "    Conventions:                  CF-1.7 CMIP-6.2\n",
-       "    activity_id:                  ScenarioMIP\n",
-       "    branch_method:                standard\n",
-       "    branch_time_in_child:         60225.0\n",
-       "    branch_time_in_parent:        60225.0\n",
-       "    contact:                      Evgeny Volodin (volodinev@gmail.com)\n",
-       "    ...                           ...\n",
-       "    grid_original:                gs2x1.5\n",
-       "    grid_label_original:          gr1\n",
-       "    nominal_resolution_original:  100 km\n",
-       "    regrid_operation:             conservative_120x180_72x144\n",
-       "    regrid_tool:                  xESMF_v0.8.2\n",
-       "    regrid_weights_uid:           046d352045d899caf55bd49408cff1e6_d4ebf55323..."
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 2.5 degrees\n",
-    "wf2 = ops.Subset(tas, time=\"2016/2016\")\n",
-    "wf2 = ops.Regrid(wf2, method=\"conservative\", grid=\"2pt5deg\")\n",
+   "outputs": [],
+   "source": [
+    "ds_og.grid"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a52f11e3-a17f-4a74-849e-a4219de6a2c9",
+   "metadata": {},
+   "source": [
+    "The native grid is 0.9°x1.25°, so let's try coarsening to a 1.25°x1.25° grid using the conservative method:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "710606ac-1c41-4b27-b2c4-2ae4957357ea",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "wf = ops.AverageByTime(\n",
+    "    ops.Regrid(\n",
+    "        ops.Subset(\n",
+    "            ops.Input('tas', [dsets[0]]),\n",
+    "            time='2010/2010'\n",
+    "        ),\n",
+    "        method='conservative',\n",
+    "        grid='1pt25deg'\n",
+    "    )\n",
+    ")\n",
     "\n",
-    "resp2 = wf2.orchestrate()\n",
-    "resp2.ok\n",
+    "resp = wf.orchestrate()\n",
     "\n",
-    "ds_25 = resp2.datasets()[0]\n",
-    "ds_25\n"
+    "if resp.ok:\n",
+    "    ds_125 = resp.datasets()[0]\n",
+    "else:\n",
+    "    print(resp.status)\n",
+    "    "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "b5d0276a-0d91-413a-be76-753ebf04ca4d",
+   "execution_count": null,
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-      "Downloading to /tmp/metalink_x89nq9a4/tas_day_INM-CM5-0_ssp245_r1i1p1f1_gr_20160101-20161231_regrid-conservative-180x360_cells_grid.nc.\n"
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 95MB\n",
-       "Dimensions:    (lat: 180, lon: 360, bnds: 2, time: 365)\n",
-       "Coordinates:\n",
-       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon        (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
-       "    lat_bnds   (lat, bnds) float64 3kB ...\n",
-       "    lon_bnds   (lon, bnds) float64 6kB ...\n",
-       "  * time       (time) object 3kB 2016-01-01 12:00:00 ... 2016-12-31 12:00:00\n",
-       "    height     float64 8B ...\n",
-       "    time_bnds  (time, bnds) object 6kB ...\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    tas        (time, lat, lon) float32 95MB ...\n",
-       "Attributes: (12/52)\n",
-       "    Conventions:                  CF-1.7 CMIP-6.2\n",
-       "    activity_id:                  ScenarioMIP\n",
-       "    branch_method:                standard\n",
-       "    branch_time_in_child:         60225.0\n",
-       "    branch_time_in_parent:        60225.0\n",
-       "    contact:                      Evgeny Volodin (volodinev@gmail.com)\n",
-       "    ...                           ...\n",
-       "    grid_original:                gs2x1.5\n",
-       "    grid_label_original:          gr1\n",
-       "    nominal_resolution_original:  100 km\n",
-       "    regrid_operation:             conservative_120x180_180x360\n",
-       "    regrid_tool:                  xESMF_v0.8.2\n",
-       "    regrid_weights_uid:           046d352045d899caf55bd49408cff1e6_d24f4f689f...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-63f35d2c-84bb-4360-867a-366fddbb2436' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-63f35d2c-84bb-4360-867a-366fddbb2436' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 365</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3f57e335-5ecc-4f1e-8c50-65ffe54d66e7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3f57e335-5ecc-4f1e-8c50-65ffe54d66e7' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-80f92c1b-a55e-4e6e-8b68-7dc7fc42790e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80f92c1b-a55e-4e6e-8b68-7dc7fc42790e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5f40403-900b-419d-84f1-90a3355af93a' class='xr-var-data-in' type='checkbox'><label for='data-f5f40403-900b-419d-84f1-90a3355af93a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
-       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
-       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
-       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
-       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
-       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
-       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
-       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
-       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
-       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
-       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
-       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
-       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
-       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
-       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
-       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
-       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-019de851-e358-4b22-aa84-266e15870e2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-019de851-e358-4b22-aa84-266e15870e2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3575cb0b-b4f8-4e4d-b03f-af81e7a9af1f' class='xr-var-data-in' type='checkbox'><label for='data-3575cb0b-b4f8-4e4d-b03f-af81e7a9af1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1cbf7f24-03d1-4165-b2ea-cc0e16aaba5c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1cbf7f24-03d1-4165-b2ea-cc0e16aaba5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9401a27-b491-4fce-86da-5d79757446e5' class='xr-var-data-in' type='checkbox'><label for='data-c9401a27-b491-4fce-86da-5d79757446e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[360 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8e4287cc-fe2c-4b33-9288-a9e9f5999473' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e4287cc-fe2c-4b33-9288-a9e9f5999473' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-635d2124-0d18-49b8-b352-30d0d230a3b8' class='xr-var-data-in' type='checkbox'><label for='data-635d2124-0d18-49b8-b352-30d0d230a3b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[720 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2016-01-01 12:00:00 ... 2016-12-...</div><input id='attrs-ab3161e2-2dad-40da-bbb2-cca65313544b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab3161e2-2dad-40da-bbb2-cca65313544b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6a78b75-68f1-489c-a575-f6199186f206' class='xr-var-data-in' type='checkbox'><label for='data-b6a78b75-68f1-489c-a575-f6199186f206' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2016, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2016, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2016, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
-       "       cftime.DatetimeNoLeap(2016, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2016, 12, 30, 12, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeNoLeap(2016, 12, 31, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc4e355f-46f8-465a-8b47-9b7d349779da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc4e355f-46f8-465a-8b47-9b7d349779da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cae574fe-7508-44b6-8f5a-d636ebb67f5e' class='xr-var-data-in' type='checkbox'><label for='data-cae574fe-7508-44b6-8f5a-d636ebb67f5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b99d11b-9ef8-4965-ac72-5ebb02894bd1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b99d11b-9ef8-4965-ac72-5ebb02894bd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff9d2c86-7871-4de9-8de4-2a2de84f4962' class='xr-var-data-in' type='checkbox'><label for='data-ff9d2c86-7871-4de9-8de4-2a2de84f4962' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[730 values with dtype=object]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0259442b-4c10-45af-802d-4daef5faad03' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0259442b-4c10-45af-802d-4daef5faad03' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-95480e6c-47ba-40ab-a57b-2cd1bd49b258' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95480e6c-47ba-40ab-a57b-2cd1bd49b258' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-160283f7-a7d6-44dc-a7b5-f736ca23edf8' class='xr-var-data-in' type='checkbox'><label for='data-160283f7-a7d6-44dc-a7b5-f736ca23edf8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>regrid_method :</span></dt><dd>conservative</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>comment :</span></dt><dd>near-surface (usually, 2 meter) air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>tas</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean (interval: 1 day)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2019-06-18T15:27:32Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;.</dd></dl></div><div class='xr-var-data'><pre>[23652000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ab308e0c-77f6-4618-a92a-c5face84cfae' class='xr-section-summary-in' type='checkbox'  ><label for='section-ab308e0c-77f6-4618-a92a-c5face84cfae' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-741e8ae2-25c3-4d30-a84c-c0350c095aea' class='xr-index-data-in' type='checkbox'/><label for='index-741e8ae2-25c3-4d30-a84c-c0350c095aea' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
-       "       ...\n",
-       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2cc96ae9-29ca-4ace-aa92-32fb2563f69e' class='xr-index-data-in' type='checkbox'/><label for='index-2cc96ae9-29ca-4ace-aa92-32fb2563f69e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
-       "       ...\n",
-       "       350.5, 351.5, 352.5, 353.5, 354.5, 355.5, 356.5, 357.5, 358.5, 359.5],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=360))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f8ca912d-9db3-4d10-be06-a111e98c9a15' class='xr-index-data-in' type='checkbox'/><label for='index-f8ca912d-9db3-4d10-be06-a111e98c9a15' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([2016-01-01 12:00:00, 2016-01-02 12:00:00, 2016-01-03 12:00:00,\n",
-       "             2016-01-04 12:00:00, 2016-01-05 12:00:00, 2016-01-06 12:00:00,\n",
-       "             2016-01-07 12:00:00, 2016-01-08 12:00:00, 2016-01-09 12:00:00,\n",
-       "             2016-01-10 12:00:00,\n",
-       "             ...\n",
-       "             2016-12-22 12:00:00, 2016-12-23 12:00:00, 2016-12-24 12:00:00,\n",
-       "             2016-12-25 12:00:00, 2016-12-26 12:00:00, 2016-12-27 12:00:00,\n",
-       "             2016-12-28 12:00:00, 2016-12-29 12:00:00, 2016-12-30 12:00:00,\n",
-       "             2016-12-31 12:00:00],\n",
-       "            dtype=&#x27;object&#x27;, length=365, calendar=&#x27;noleap&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6866e9d2-ded3-4843-a960-baf36fd9b8de' class='xr-section-summary-in' type='checkbox'  ><label for='section-6866e9d2-ded3-4843-a960-baf36fd9b8de' class='xr-section-summary' >Attributes: <span>(52)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>60225.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60225.0</dd><dt><span>contact :</span></dt><dd>Evgeny Volodin (volodinev@gmail.com)</dd><dt><span>creation_date :</span></dt><dd>2019-06-18T15:27:34Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>update of RCP4.5 based on SSP2</dd><dt><span>experiment_id :</span></dt><dd>ssp245</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.INM.INM-CM5-0.ssp245.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>Global 1.0 degree grid with one cell centered at 0.5E,0.5N. As used by the World Ocean Atlas.</dd><dt><span>grid_label :</span></dt><dd>gr</dd><dt><span>history :</span></dt><dd>2019-06-18T15:27:33Z ;rewrote data to be consistent with ScenarioMIP for variable clt found in table day.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Institute for Numerical Mathematics, Russian Academy of Science, Moscow 119991, Russia</dd><dt><span>institution_id :</span></dt><dd>INM</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>INM-CM5-0</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>RJNAMM 2018, 367-374. DOI: 10.1515/rnam-2018-0032</dd><dt><span>run_variant :</span></dt><dd>standard</dd><dt><span>source :</span></dt><dd>INM-CM5-0 (2016): \n",
-       "aerosol: INM-AER1\n",
-       "atmos: INM-AM5-0 (2x1.5; 180 x 120 longitude/latitude; 73 levels; top level sigma = 0.0002)\n",
-       "atmosChem: none\n",
-       "land: INM-LND1\n",
-       "landIce: none\n",
-       "ocean: INM-OM5 (North Pole shifted to 60N, 90E. 0.5x0.25; 720 x 720 longitude/latitude; 40 levels; vertical sigma coordinate)\n",
-       "ocnBgchem: none\n",
-       "seaIce: INM-ICE1</dd><dt><span>source_id :</span></dt><dd>INM-CM5-0</dd><dt><span>source_type :</span></dt><dd>AOGCM AER</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>day</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 February 2019) MD5:951084b632bd52c3f6224e495b1cb65e</dd><dt><span>title :</span></dt><dd>INM-CM5-0 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/89cab4a2-c867-4bb5-a215-622f969cd844</dd><dt><span>variable_id :</span></dt><dd>tas</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by Lawrence Livermore PCMDI is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>grid_original :</span></dt><dd>gs2x1.5</dd><dt><span>grid_label_original :</span></dt><dd>gr1</dd><dt><span>nominal_resolution_original :</span></dt><dd>100 km</dd><dt><span>regrid_operation :</span></dt><dd>conservative_120x180_180x360</dd><dt><span>regrid_tool :</span></dt><dd>xESMF_v0.8.2</dd><dt><span>regrid_weights_uid :</span></dt><dd>046d352045d899caf55bd49408cff1e6_d24f4f689f12099406e6b95115553334_peri_no-degen_conservative</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset> Size: 95MB\n",
-       "Dimensions:    (lat: 180, lon: 360, bnds: 2, time: 365)\n",
-       "Coordinates:\n",
-       "  * lat        (lat) float64 1kB -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon        (lon) float64 3kB 0.5 1.5 2.5 3.5 4.5 ... 356.5 357.5 358.5 359.5\n",
-       "    lat_bnds   (lat, bnds) float64 3kB ...\n",
-       "    lon_bnds   (lon, bnds) float64 6kB ...\n",
-       "  * time       (time) object 3kB 2016-01-01 12:00:00 ... 2016-12-31 12:00:00\n",
-       "    height     float64 8B ...\n",
-       "    time_bnds  (time, bnds) object 6kB ...\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    tas        (time, lat, lon) float32 95MB ...\n",
-       "Attributes: (12/52)\n",
-       "    Conventions:                  CF-1.7 CMIP-6.2\n",
-       "    activity_id:                  ScenarioMIP\n",
-       "    branch_method:                standard\n",
-       "    branch_time_in_child:         60225.0\n",
-       "    branch_time_in_parent:        60225.0\n",
-       "    contact:                      Evgeny Volodin (volodinev@gmail.com)\n",
-       "    ...                           ...\n",
-       "    grid_original:                gs2x1.5\n",
-       "    grid_label_original:          gr1\n",
-       "    nominal_resolution_original:  100 km\n",
-       "    regrid_operation:             conservative_120x180_180x360\n",
-       "    regrid_tool:                  xESMF_v0.8.2\n",
-       "    regrid_weights_uid:           046d352045d899caf55bd49408cff1e6_d24f4f689f..."
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 1 degree\n",
-    "wf1 = ops.Subset(tas, time=\"2016/2016\")\n",
-    "wf1 = ops.Regrid(wf1, method=\"conservative\", grid=\"1deg\")\n",
+   "outputs": [],
+   "source": [
+    "ds_125.grid"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a8556572-54a6-42b0-94d8-cc562d40ccd3",
+   "metadata": {},
+   "source": [
+    "We can also make it even coarser by regridding to a 2.5°x2.5° grid:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "71a84338-90cf-49ec-b120-8f071213cf3e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "wf = ops.AverageByTime(\n",
+    "    ops.Regrid(\n",
+    "        ops.Subset(\n",
+    "            ops.Input('tas', [dsets[0]]),\n",
+    "            time='2010/2010'\n",
+    "        ),\n",
+    "        method='conservative',\n",
+    "        grid='2pt5deg'\n",
+    "    )\n",
+    ")\n",
     "\n",
-    "resp1 = wf1.orchestrate()\n",
-    "resp1.ok\n",
+    "resp = wf.orchestrate()\n",
     "\n",
-    "ds_1 = resp1.datasets()[0]\n",
-    "ds_1\n"
+    "if resp.ok:\n",
+    "    ds_25 = resp.datasets()[0]\n",
+    "else:\n",
+    "    print(resp.status)\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "412c50c9-0a30-4f28-8c97-c8a3d957de51",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "ds_25.grid"
    ]
   },
   {
@@ -3676,51 +768,62 @@
    "id": "087503d7-e4ac-42f8-82a6-770a92795780",
    "metadata": {},
    "source": [
-    "### Plot 2.5deg vs. default vs. 1deg"
+    "### Plot each dataset to look at the coarsened grids"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "020b10a4-95ff-4ecf-a203-32db9f3beaf9",
+   "metadata": {},
+   "source": [
+    "Make a quick plot first:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "id": "8c433546-4b3d-44e4-814e-527b316ca3e3",
+   "execution_count": null,
+   "id": "96f1af51-6836-436f-a09f-1d6375614f98",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import matplotlib.colors as mcolors\n",
-    "import cartopy.crs as ccrs\n",
-    "import cartopy.feature as cfeature\n",
-    "\n",
-    "from matplotlib.gridspec import GridSpec\n",
-    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n"
+    "for ds in [ds_og, ds_125, ds_25]:\n",
+    "    ds[\"tas\"].plot()\n",
+    "    plt.show()\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "919dc7a1-ad2a-4291-aa90-c2d622f1d433",
+   "metadata": {},
+   "source": [
+    "### Plot the coarsened datsets together using Cartopy"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e4a00e56-4b5c-47da-ae9c-ae4b1ce0686d",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "Now let's zoom in on a smaller region, the continental US, to get a clear view of the difference in grid resolution. Here we can also decrease the colorbar limits to better see how the variable `tas` varies within the smaller region."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "0679c3e5-f2bc-4e50-8b4d-f0cefa54d65a",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x800 with 5 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# plot together\n",
-    "\n",
+   "outputs": [],
+   "source": [
+    "# set up the figure\n",
     "fig = plt.figure(figsize=(6, 8))\n",
-    "gs = GridSpec(3, 2, width_ratios=[1, 0.1], height_ratios=[1, 1, 1], hspace=0.2, wspace=0.2)\n",
+    "gs = GridSpec(3, 2, width_ratios=[1, 0.1], height_ratios=[1, 1, 1], hspace=0.3, wspace=0.2)\n",
     "\n",
     "# specify the projection\n",
     "proj = ccrs.PlateCarree()\n",
@@ -3735,25 +838,32 @@
     "axcb = plt.subplot(gs[:, 1])\n",
     "\n",
     "# loop through each dataset and its corresponding axis\n",
-    "for i, ds in enumerate([ds_25, ds_g, ds_1]):\n",
-    "    plot_ds = ds[\"tas\"].isel(time=180)\n",
+    "for i, dset in enumerate([ds_og, ds_125, ds_25]):\n",
+    "    plot_ds = dset.tas.isel(time=0)\n",
     "    ax = axes_list[i]\n",
-    "    pcm = ax.pcolormesh(plot_ds.lon, plot_ds.lat, plot_ds, vmin=285, vmax=315, transform=proj)\n",
+    "    pcm = ax.pcolormesh(plot_ds.lon, plot_ds.lat, plot_ds, vmin=270, vmax=302.5, transform=proj)\n",
+    "    \n",
+    "    # add borders and coastlines\n",
     "    ax.add_feature(cfeature.BORDERS)\n",
     "    ax.coastlines()\n",
     "    \n",
-    "    # focus on CONUS for this example\n",
+    "    # limit to CONUS for this example\n",
     "    ax.set_xlim(-130, -60)\n",
     "    ax.set_ylim(22, 52)\n",
     "    \n",
+    "    # add grid labels on bottom & left only\n",
+    "    gl = ax.gridlines(color=\"None\", draw_labels=True)\n",
+    "    gl.top_labels = False\n",
+    "    gl.right_labels = False\n",
+    "    \n",
     "    # label with the regrid type; if it fails, that means it hasn't been regridded\n",
-    "    # (so label with \"original grid\")\n",
+    "    # (so label with the grid attribute instead)\n",
     "    try:\n",
-    "        ax.set_title(ds.regrid_operation)\n",
+    "        ax.set_title(dset.regrid_operation)\n",
     "    except:\n",
-    "        ax.set_title(\"original grid ({g})\".format(g=ds.grid))\n",
+    "        ax.set_title(dset.grid)\n",
     "        \n",
-    "# set the colorbar\n",
+    "# use the same colorbar for all plots\n",
     "axcb.axis(\"off\")\n",
     "axcb_ins = inset_axes(axcb, width=\"50%\", height=\"75%\", loc=\"center\")\n",
     "cbar = plt.colorbar(pcm, cax=axcb_ins, orientation=\"vertical\", extend=\"both\")\n",
@@ -3763,12 +873,35 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ec3e63a6-fd9e-4d3d-b1ac-66f1bf943a7e",
+   "cell_type": "markdown",
+   "id": "e57aee30-caff-4916-bb95-efa00ff15ba4",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9f883994-e2f8-4ce9-8ca2-56fedb2e1a58",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "`Rooki` offers a quick and easy way to regrid CMIP model data that can be located using `intake-esgf`. `Cartopy` lets us easily customize the plot to neatly display the geospatial data. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6c9caac9-3de5-4842-90c5-e4de995c06ef",
+   "metadata": {},
+   "source": [
+    "## Resources and references\n",
+    "* [Regridding overview from NCAR](https://climatedataguide.ucar.edu/climate-tools/regridding-overview), including descriptions of various regridding methods\n",
+    "* [Rooki regridding example notebook](https://github.com/roocs/rooki/blob/master/notebooks/demo/demo-rooki-regrid-cmip6.ipynb)\n",
+    "* [Rooki documentation](https://rooki.readthedocs.io/en/latest/)\n",
+    "* [Cartopy logo image source](https://scitools.org.uk/cartopy/docs/v0.16/gallery/logo.html)\n",
+    "* [Rooki logo image source](https://rooki.readthedocs.io/en/latest/#)"
+   ]
   }
  ],
  "metadata": {
diff --git a/notebooks/images/logos/cartopy_logo.png b/notebooks/images/logos/cartopy_logo.png
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HcmV?d00001


From 14d147a50029374e667bcef543ec280472bc43f7 Mon Sep 17 00:00:00 2001
From: Jacqueline Nugent <jnugent2@uwyo.edu>
Date: Fri, 14 Jun 2024 18:13:19 +0000
Subject: [PATCH 3/3] Included notebook output

---
 notebooks/ex-regrid-plot.ipynb | 527 ++++++++++++++++++++++++++++++---
 1 file changed, 480 insertions(+), 47 deletions(-)

diff --git a/notebooks/ex-regrid-plot.ipynb b/notebooks/ex-regrid-plot.ipynb
index 1a08e71..17a03d0 100644
--- a/notebooks/ex-regrid-plot.ipynb
+++ b/notebooks/ex-regrid-plot.ipynb
@@ -82,7 +82,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "ad4562c9-f5eb-496e-9e17-6453f426e910",
    "metadata": {
     "tags": []
@@ -141,7 +141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "d053a676-2a27-4be0-93c0-eafb9671c0bc",
    "metadata": {
     "tags": []
@@ -154,12 +154,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "095db615-275a-4dbc-8467-833fd7992aed",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d94f8c4ed5c24cd8b123fac457ee6d00",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "   Searching indices:   0%|          |0/2 [       ?index/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "['CMIP6.CMIP.CCCma.CanESM5.historical.r1i1p1f1.Amon.pr.gn.v20190429',\n",
+       " 'CMIP6.CMIP.NCAR.CESM2.historical.r1i1p1f1.Amon.pr.gn.v20190401']"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cat = ESGFCatalog()\n",
     "cat.search(\n",
@@ -186,12 +212,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "bf653879-96b5-48e0-be9b-0f0cc08152e2",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading to /tmp/metalink_6_iqo1_6/pr_Amon_CanESM5_historical_r1i1p1f1_gn_20100101-20100101_avg-year.nc.\n",
+      "Downloading to /tmp/metalink_d7uge4gt/pr_Amon_CESM2_historical_r1i1p1f1_gn_20100101-20100101_avg-year.nc.\n"
+     ]
+    }
+   ],
    "source": [
     "dset_list = [[]]*len(dsets)\n",
     "\n",
@@ -224,12 +259,70 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "b2ed096a-2cfc-4e51-9b2a-43b9ee4f103e",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[<xarray.Dataset> Size: 37kB\n",
+      "Dimensions:    (lat: 64, time: 1, bnds: 2, lon: 128)\n",
+      "Coordinates:\n",
+      "  * lat        (lat) float64 512B -87.86 -85.1 -82.31 ... 82.31 85.1 87.86\n",
+      "  * lon        (lon) float64 1kB 0.0 2.812 5.625 8.438 ... 351.6 354.4 357.2\n",
+      "  * time       (time) object 8B 2010-01-01 00:00:00\n",
+      "Dimensions without coordinates: bnds\n",
+      "Data variables:\n",
+      "    lat_bnds   (time, lat, bnds) float64 1kB ...\n",
+      "    lon_bnds   (time, lon, bnds) float64 2kB ...\n",
+      "    pr         (time, lat, lon) float32 33kB ...\n",
+      "    time_bnds  (time, bnds) object 16B ...\n",
+      "Attributes: (12/53)\n",
+      "    CCCma_model_hash:            3dedf95315d603326fde4f5340dc0519d80d10c0\n",
+      "    CCCma_parent_runid:          rc3-pictrl\n",
+      "    CCCma_pycmor_hash:           33c30511acc319a98240633965a04ca99c26427e\n",
+      "    CCCma_runid:                 rc3.1-his01\n",
+      "    Conventions:                 CF-1.7 CMIP-6.2\n",
+      "    YMDH_branch_time_in_child:   1850:01:01:00\n",
+      "    ...                          ...\n",
+      "    tracking_id:                 hdl:21.14100/363e1ebe-46e7-43dc-9feb-a7a4a0c...\n",
+      "    variable_id:                 pr\n",
+      "    variant_label:               r1i1p1f1\n",
+      "    version:                     v20190429\n",
+      "    license:                     CMIP6 model data produced by The Government ...\n",
+      "    cmor_version:                3.4.0, <xarray.Dataset> Size: 233kB\n",
+      "Dimensions:    (time: 1, lat: 192, lon: 288, nbnd: 2)\n",
+      "Coordinates:\n",
+      "  * lat        (lat) float64 2kB -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n",
+      "  * lon        (lon) float64 2kB 0.0 1.25 2.5 3.75 ... 355.0 356.2 357.5 358.8\n",
+      "  * time       (time) object 8B 2010-01-01 00:00:00\n",
+      "Dimensions without coordinates: nbnd\n",
+      "Data variables:\n",
+      "    pr         (time, lat, lon) float32 221kB ...\n",
+      "    lat_bnds   (time, lat, nbnd) float64 3kB ...\n",
+      "    lon_bnds   (time, lon, nbnd) float64 5kB ...\n",
+      "    time_bnds  (time, nbnd) object 16B ...\n",
+      "Attributes: (12/45)\n",
+      "    Conventions:            CF-1.7 CMIP-6.2\n",
+      "    activity_id:            CMIP\n",
+      "    branch_method:          standard\n",
+      "    branch_time_in_child:   674885.0\n",
+      "    branch_time_in_parent:  219000.0\n",
+      "    case_id:                15\n",
+      "    ...                     ...\n",
+      "    sub_experiment_id:      none\n",
+      "    table_id:               Amon\n",
+      "    tracking_id:            hdl:21.14100/a2c2f719-6790-484b-9f66-392e62cd0eb8\n",
+      "    variable_id:            pr\n",
+      "    variant_info:           CMIP6 20th century experiments (1850-2014) with C...\n",
+      "    variant_label:          r1i1p1f1]\n"
+     ]
+    }
+   ],
    "source": [
     "print(dset_list)\n"
    ]
@@ -252,12 +345,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "e49b55e3-1970-4410-8557-9328f31853fb",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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jMA7V9/HB6peCgtqANjJmIw+KMjIyMjIyDnFIrSH3cz55f7d/MCAPilaJWdHa/kQKGxVlrCZW3N99zToH+2p5YtspG8zcxyq6v2ptzARDtfZo+2C9XxjDqvu3Ydqg1dwrq9nXAWRaDtTpP+Cs2dQVupd33mdr6CLd7z6Pza06q68dtJBO2qX70ZpFm0z0YcayWWdsI6/Tep6bPLx4YCIPijIyMjIyMg5xZKH1wUEeFE2B1sxED2thJ6ZmRuz/jbjaiMn93jXHz1fRD0UiJhqhTmh5ku1WHWl1dGF/2aE19wFYEzM0sw/rvbRr6erEyd6YdmfvdF+sxmob6n426P05S3c069lJ2Yg1YeY9t/8ncV0s4jrY0y5MsC0d2VET7we3zSqexa5jY8kFTq+p24YxPZFxSjNVafbfxHF0vOfC58k+reZ956A6jjscL30nxnm1/u/EQYCChsyDogOOnH2WkZGRkZGRkYHMFE0FZ9pEGpYsWs/c9v4wRPuKPuKoKV62lghptf1YTX9WFTF1rMKYnsE8rCUKW4M30rRz1HEMMzOg2GTkHLMgq+rSlL7sx7YdmMoOrBY0Yp5YNmvHM/oxgw2Yuk3n8tnHMsF6EmYkukap1OwAaQk7b+t1Ms37Op9d566rTXOsMbMTvp9kg6Z3aDrjN6EtYsm7bKLv8XuO+3ZWx46vFsL+TJ/XlCXqYtKZODgZXXn67OAgD4qmwD2QWrOJB5X+jLfZv33SB3L2tMHa2u2ihlcLerzRH4iuNmf0eZ8DptX+QVhjyn7ch+42o21WMcCdtBWY3afuzsw+H3pfI/HV7m8//njMGkhM7mdt/QwNxwNUI8rt+oO9vn67Nv2+OpbPHAil6ybTfrNEw9HXnYOg7umgmaLkjn2sZVAxC+n19gGR/Yz0fujAtPPR1cfpAzOzK6W436dOB68T+yXt2cETfXe5Y+8aVE3DQTXWXQVy9tnBQR4UZWRkZGRkHOJQ9t/+tpExG3lQNAWcA5xrdFETfEqEt1ZMRCIzGYc1TA0lSKfT1t9W2K6LRk6p5ninqxPFrjpleEpfZzJsUyPd2X2bJfichZmR5r4ExGuIUmeJTt0UxdR17U/3bZS+HZ0v+vv0CH/VmCGunpZCHjOp6TYpwzN9WqwrgWI1/e+a5p0mDPb9W4MlgRcek2vml5F1KfMh+PQ/c9Ome9yy6GfyfVf/Zt1HoeGY1THnehWsqNtWkX5Fu2B+nbQvgC3JRM4Z4wCz54YxeLE5ZxqcK7jirdyfz+lTfqGfDKKLZT5IZT4yDg7yoCgjIyMjI+MQh9yA7LP93f7BgDwomoKykBCFnDqP7SK1ruWrjZpnp5yG7/c1D073tz/6oY6WJ6Jz9zlNW6QaBGUFm1NT+meIsru0O1HAvz/Hl9IiXe12lBGJ2YDZu9jXlP1s0fZ0BnI9ejXfBomuJ7Qh7uc0vc1a99WBSePOfWjT/Hbh3E8wQ0BCZc0WTHf2Y8b30fHMYkiiZZ3N7xPTdFR0F5ywHkB4J0gVnsRp76JIG0SYGKUCizORLMCpJmfywCgz59r0v2v6nb3f6LPnb7oOtpD2J7qesfaMcbIdY1ZzNsloTYM7f4Y1it+xnDLiHY2l9wsv5L53uAGQ2vzb3zYyZiOn5GdkZGRkZGRkIDNFUyG42ud8PWAiicmU7Fgj0BWF7CsbIo1GUgZoWtq9SiI/GunETA7dV2dTE5iVAWT6b6OvRN9htA1pOzEj1MUQzcr+m9BArEIjMt38jfkGNLAPPQr2ix0IGXCuge4+7TMDaU37DOdogr1bx72wHuO//UV3qYsu+mgGmziV9U00POn1ncHUztQxkT6m1ztNlTc6mKAfSvelCCOkCNu3Wg1Q2l+lmGd1woaxrmnava0cCxTdV+R3xcLONfnnO5HonEh7vusak9c3alaDcfcS7biwpP9UM8SYhuDaM2+CawimJt7HgDnPvNOpMn3hH6yU/Cy0PhjIg6KMjIyMjIxDHAoMcj8t67umAzNi5EHRFBRMofDz+KvTS0gV33CMxYwTj5iiSWaI3rAq0ehwrE4vxJMokRF2wHXPZVBQtmutmGUQqeA0RYHxcXFu1zHMMn6cnuVi7PYDc5Se+0nhzOyst7CyIYMI4xaIpEiTw5ieLVucxV4RPYT/QRjGWVlj9CgmGLOO/Yb9J+tOyUyadQyd67JJ36J9afHWjI5ruFoGbZ9aE8KQzPTaUhurNphgDV0XmLaZrwFKuW1Y9JPqgkID8Tum00x0nxlh4aZ396PbJ+fa6r3s7jgjNxfs8xK/YyIdkVtVAUyy8GJSAEveoZpeFxHrilKW1R8vN+ePfhY0E20GC0bBmU6Y9n1vk3H/Rx4UZWRkZGRkHOJQGpEMYb1tZMxGHhRNgWN4XLRRsJg12pemx63DmfaMU7qe+weYuV6uMcEWAU6TM11j1NUXFUXU9piSsF/7SHDfGRYHEmmGDMW0Xqzp2aZ6kY4G9MS5CgwQc5ox1wb0RKemlvUgDJPfPyPbRFoHBE0J0xO6klnOxPtyImYk4qf6Leo3xNBxzTULGo4pGiv3WdN+JXqOuK9dQhfbX7UPxmviuLtZo32X/GATbfumunQspN21PhfhXJu2AgNJWQ+zUEu7jGlIFbZnSXuCaSjHMHI2cS9PPX5GDofL0A+/bfrZXRfCmtru0nO4T5aSJb8nLKlnXlONE9mUEFcdMM8Vs0Qe5xpcKJJhRpkiPZFtNtFd8p2g15x1azv1fmr+Vgu5AdNn+7v9gwE5+ywjIyMjIyMjA5kpWhUKFnRBBVcRM0M9LXwR2eSzZ4MiZoihTcekTIO5eXswP2TVmvnv3ed9YZbmZzUaKdWVSTMDJgtvlf1imMiS833r2Kazv5pFgWOIyGfphsIWGpNRade6VF/kP8/Qn0QsDmFawgqpDoL+bqPX5DNtN41wtd1HiGApbWDZCM/2WBZhipZlsmYY1YUhsCj7usyEBZnFDPl9dui1UlDH4uj7ruZtm9MYjO4+pe3qie+n3lsz6MzI44p6d5HzqTFbk5VmwEV6Ixbvnz4Vzlnar08YT/edn07R8X46D3MVjIi7htT3SmsW2CbFgveUZtAcPnkrelx0+pOZxmw70e3I3QEQTRHTKGyhViHC+1swwxqthun3x5Msm6YFO9DITNHBQR4UZWRkZGRkHOKgQfX+tJExG/ebQdGJJ56I73//+xPfv/KVr8S73/1uvOAFL8AHP/jBaNlZZ52Ff/7nf17X/pymiKO7Lo5jiAquIs0QT0JOBTbhfeHXTZgluqxVHIxkcCiwSGOUYtrN3qVHovxUlz+Q61vXHHr3Psxxu8QRjpCB1rUfxoK1yEQ2TUdG1DTNTierNMVbKm0jOi+ErUhbdv5Lvi+krzOze9ImuzK+orWYNxHRtlHqupsyRPSnttmJwOR5jzQyUzL14mOlnaP6I0xlEWZ55UTVyzvWj3QsChHLkLpKR5H5FPaws0+OIXHXkGusigEi+56KaeSJOw5yO2pG9D70snRkMa7aMV+HdbocphHIlej8SWCCteQ8vI+EUCiE0R0VQnmGBYBnWty7jr6bpOLQmvlM3EYJSMnRSu6Xy9b8rqWCaoXJKgOANjBK7l4IHcTkdSBskqZZeNpqryxTVAmJ0h5LyeWE/5zSDFKbPjGdOvNPvgMFj8/b/vqIrRaZKTo4uN9oiq6//nrs3LnT/7v66qsBAM985jP9Oueff360zuc///n7qrsZGRkZGRkZq8Ty8jK2b9+O17zmNfdpP+43TNGRRx4ZfX7rW9+Kn/qpn8LZZ5/tv+v1ejjmmGM2ZH8ceoL1Aaxn0JTIoGt9tw39CQTPIqoxitqiDBIss0KCqMl9x/tyoB5BKZhlqrqcu1NWqosxmuXqPW1d+ynqA/3Jp26T7HMf++NMT7ApaX8jFQ750MVsUB1HrPfoZtom4DUqLPoc1xwLDAljxOgX3GeKpdkzKSaqxZM+epaLMgR0W3oMzGlgXJ86DolmT7HuZQyT50hFzBxho5hzMJ88tn1msVENXPqTJT/TdnSykJ6fVL/ThQ7Wybebsjos3GhMhHuAZjXGTtcx+9l9HdxPy2i6h8iKdDyTRLL79ISnmobioU9KseBcjRZcSH/PFUx55iWFm+Jx+2mUQCMFainM51aEum2cg3FAtbZPnPsMPO9flLJF9npo0lewyXtM6/idVNpsu0HZoOLhWJRmaBVHrWz/pPCZfcr2mYK+V9zvekblg42EBIfcTx7j4FRpWx8uvfRSnHXWWfd1N+4/TBFFXdf48Ic/jBe96EVROvm1116Lo446Co94xCPw0pe+FLt27boPe5mRkZGRkbExcFP++/PvYFqtrAXf/va38a1vfQu/8iu/cl935f7DFFF85jOfwe7du/GCF7zAf3fBBRfgmc98JrZv345bbrkFv//7v48nPvGJuOGGG9Dr9aa2NR6PMR6P/ec9e/YAsPPkYJ794SQ64AjeQ4XVHfllLJ2v5oEFYoERahWPmSPEGp4urZFnopL7WmmiVUhufJZENu4791kk/Z3mck0jqxRdLBF1g02XK8WnzsOnfjOTWTn2GDqYLLofqSdFCPG6IQqlUWWXXijt6+y+dzNiri2dnIzVvKS0YnBmylaNYY+vu520zYn7oWsfmk2yOgydrM3EOUJ8n3VprCY8hfwjQdgoe2zRenSfEQtmGYMpLtOpI/h6/xh0+f7oQOFNrBt9t699Uo0TQ+RTRbGvLKd4/Q4fKuXuGkztn3a6HEslKMbR2MV1UZgMLqfRKVv0ComqaAEY5ih9x9D3B2WjFSfPmuu7NRjSXEN5syHj28TouWaAtuwQExrM9ocJ60tklxVCohDKZ5+VRFPUFy36ooneZyNZRuezsQyReYcF5sAx6+mxzsr0fSDgH//xH3HFFVfghhtuwM6dO/HpT38aF154YbTOe97zHlxxxRXYuXMnTjnlFLzjHe/A4x//+FXv4zWveQ2uuOIKXHfddRvc+7Xjfjko+vM//3NccMEFOPbYY/13z372s/3vp556Ks444wxs374dn/vc5/D0pz99aluXX345LrnkkgPa34yMjIyMjP3BfSW0XlpawiMf+Ui88IUvxDOe8YyJ5R//+Mdx8cUX4z3veQ8e97jH4X3vex8uuOAC3HzzzTjhhBMAAKeffnpEPjhcddVVuP766/GIRzwCj3jEI/KgaD34/ve/jy9+8Yv41Kc+NXO9bdu2Yfv27fj2t789c73Xve51eNWrXuU/79mzB8cffzxKLlHYeWiaJZZmjK0GXSxL2oapbxZHt3SfdFuamqmtxqm12RMuuunaPxCiHWBSAyU1h1QhS4SyLy7y69RZUZdeBA1P2CfgI/sk8p6VudGlnaHsk47OQ9AShL0h9KtjN7PqrU1zZE63SxkJPkNf4NiY8EXoaXReVrlv+rnrLKZHF2mGOtaZxvZ0IfXR6bqf3bJUg+W1TSBswYx+u/WidVy7hCEN/lF22WofU3J/uus5+74M1yy6t9L7ibTrmKA0ow4I30eeVUnts9UyXdSHCk4759ycAcDKZLTigR2y3YzYRqI5UtpofVQRmFZltwcAXcgO3ZhZV7r9kHdDyN5S0Czo9VTBoArLKLUcquVEWGe390xRYIYMS0S85IRCWUhUlh2qRIuKvMsplObJ5/jZFmR9N0swwRyyg6Qp0txnya2/DfPTzYg49Hq9qTMqF1xwAS644IKpbb797W/Hi1/8YrzkJS8BALzjHe/AF77wBbz3ve/F5ZdfDgC44YYbpm7/z//8z/jYxz6GT3ziE1hcXETTNFhYWMAb3vCGtRzahuF+pym68sorcdRRR+HJT37yzPXuuusu3Hbbbdi2bdvM9Xq9HhYWFqJ/GRkZGRkZD1Qcf/zx2Lx5s//nBi9rRV3XuOGGG3DeeedF35933nmrZn0uv/xy3Hbbbbj11lvxR3/0R3jpS196nw2IgPsZU6SUwpVXXomLLroIRRG6vri4iDe96U14xjOegW3btuHWW2/F61//ehxxxBF42tOetq59VUKiELKTGZnGFinN0Ooi8u9It6fLXFv0ZxccM9R2RAkKJgpztdkUY5jMmZgO54FE9+N+l4R5cdFRqjWiiPRJTIOOud12PkOGYC3OsP48cVM5nPrzaE0ifBpZJ2yO/3oKlTAzKk9Yj6g9orHpwgT7QDUvXRlXU9qgTJz7vUvJFPkwIdZOmW1Jn9h0/ypgkm2kPwWPmUytY82XSv2OyLaztFC0DxyYqH/FdFw9fkLbRm+BiEFBcFW239OssYn6dgmj4889B5QkfUrPEQv3duqf1c34TWfpInYV0aGE5Dp3L/D43HZnSCrDHFomRkqONINvoo9Om6Q0pGKEtZD+/QPAOPUn27p3AxMMEGFdug+pDAMFmCy11rFFpJ+MsEOMXhcE/6Be0WKuqjEoGwDAsGh8/zhTE1UGKKjnnPOJS9/R6buaT8nE22gYnev+8RjK3jm33XZbRADM0t3Owp133gkpJY4++ujo+6OPPhp33HHH+jt6H+J+NSj64he/iB/84Ad40YteFH0vhMDXv/51fOhDH8Lu3buxbds2POEJT8DHP/5xzM/P30e9zcjIyMjI2BhspKZoo2dF0qLiWuuJ71YDmjx1X+F+NSg677zzJrJ3AGAwGOALX/jChu6r5Aol8bNIQXU5KXtC9TdF4onh5rA5kjppM7Q6zkvDs0wdTMZEttgqBBXOidZFa5JkxMkkyuw6TrqvVFeiCHtlGJzZjADviJL3xZ5pPqlnmrW+811JdQ5ad9dRo4j8exKmxG83Y/9dtcy62Jdpx5LuczVO4F7z4gkjPZF1586J90VyHi06zrQBC3opwU3WInVdZmzSB8ohuo4Th6YnjokeMz0+pVjEglENGZhGqEA/sYup6MokizRjVNujGZQk+9TmeFikbelmD915V5HbdBdbBCgoz7R59ifJCuzaBxBr2pxDtVtu7vtEU+OYB6YSxmyyX6vRWRVcQWiFhhm+2ul86PuSnpNW8+j901imyDwvAtLpjex5c/ojxw65YxZcoypNNlyvbNErWiyURtg7X45QsMDmjFWBWsV/+rwHE0LW2jSk76VpLvoPBhxxxBEQQkywQrt27Zpgj+4vuF8Nig4mXPmOWYMV9/tkUVgr+GPKi7X9+nZQpHRcukNp3jnYoaCp/1RonZYAYSwewMwaMCjNvLha6+mDjMTrLTpmxjBRZJFFf7AQV2VIXiqupIo7ttQmYNpU5axjo+fEredSbWvpSg/YNtJ2ut797lBYeBm70ggiMtdLReaT5wmYPQiWRMRKtwXotQ8r0PWjgULSBwZMnHsKOjg09xU1BQX5Q60iAXVaDJgz7QcH+yosTNvpGgA4CDsd66bLOAAIDdExV+yv55RpQ614cP9kiAaOgP2DS/74+sKtbhDEwjJ3D7jPXUaorg8mmQK+LTdAmTUIdqCDqVS87gwhU5E4ZxqaAcLuVHDV0W53oKU1/FSWO5+xaWFsSuuOoVUh6DOdMlNnftCRnB+hQnJHhCI+D64vbtBHgyfBzUDGCasHRYO+aFFxM0iqeIue/d1h2qCoSxox673M2UE0b9wQobU5tjPPPBNCCOzYsQM7duxYd3tVVeH000/H1VdfHUlVrr76ajz1qU/dr77eV8iDooyMjIyMjEMczjtvf9sATNms1U6fLS4u4jvf+Y7/fMstt+DGG2/E1q1bccIJJ+BVr3oVnve85+GMM87AYx7zGLz//e/HD37wA7ziFa/Yr77eV8iDoikomIrEeRQ0jZOTKMhNiTlL+YLJiQhlbCOUFVmhVRyttZefmIIjoudWGQNIF4WlaaMpn55GXukUy6zI3U/RTXn2UoYIIMVzE6ZoGmjKLmCiLXeuSyGj9Nl0So6WRXHTioA5ZkrFp6D7E1xB63DzS0VS+S1rMG06SyMsKwuJXtFGBSLTMjDCR7bdxX/p1IH3UuBqkqnz68XTRq201glqkjnzUz9k+oMBCXsV2AraR8/+2TZEwppG02PQUxkowbrF+dHx0V9ZLMKl5VwYkz6l3E0/0und1DSysc+WlDy6xlJpf76U5Fb/4HYymXKdpsdHU4q0D6SgasqQmSliwL06VHTKXBmacGz0HKSlW9J2w2fDjjkuUzPDeHl2javomeVcoywCky0n2KiwbJYIvpahdIe7T+KkEFMiGjDvsmnT4iy5npxrlHbaizFTyLUkz5NPwbdlR/rCvGv7osWwqDEQNQCgZNKn1ksiYfC962CHupAa6x5s80a1AWU+1Ky55Cn42te+hic84Qn+s7Owueiii/CBD3wAz372s3HXXXfhzW9+M3bu3IlTTz0Vn//857F9+/b96ut9hTwoysjIyMjIyOjEOeec06nlpXjlK1+JV77ylQepRwcWeVA0BYYBUt6wK44GZLRe6TREXKIk7JDbxrFDS23P/14rETNOSXRFWZBW84myIPsSFtP+piUhqD5lGgQ1s5vSrhdXMhVpKaTiUfS/ryK1VFNUcYl+EbQABVP+vNSqwHJrLPlrKdAosU+zSYCyMYFNoWwaNZd0JnrR+SMsAwO8ELNXtBhUjddAOeFo0GgFHZPgCjphitJz6cTo3OS0e/1AKhJXlNlCYLdM//SE/omKtKkepUv75FgvIUyigTtWygRKNVv/Fgm0O5ZNq8E0YYqXMIquH0BcWsKt6+4T17Zwehlh7CXcdVEq/C4ln2BeGbq1K25buk8A5HprqCmCePd711lREyyfFS/5dmJLg7TNaBlliZkGU4EFUyoYJRqmVEFYs0TBNIopJITWiLQsXaWIInY6eRdIANKW7yi59OfIt9fxrCqwqDxIr2wxV9YRG1R4Rl6hR3RD7r3t2CEO5QXlrRKRDrTgEq0SnXYnKRMUZg40WUeBJbMBBwobqSnKmI48KMrIyMjIyDjEocA3zKcoYzryoGgKerxBJZiJoFh3Wj1gIgUXofR4i6Go/Tx4owUWZR8rtuBg05FhRttNy3nQdbr0KMBklpVbP84UiXUj07KjUouAqCSI/Z1mnKQRo9dAJdqeLtaA9k8wFRXYpREZZxoFnDFlWFbDsESOiXFMgGeKEl0VZWacHoFm3c3qLzU5FFx5HcagatATIUocywJ1W6C2fVIqRPGFvZfSFOWuLDpvhuiPJWY50kyvLh1M2n8KxwYxFjRD6XkwUbr2hTRpRmBZSGvuGZislPlJS8nQ610k+jOH1FCP3mNS80TPFt+PgisId59oFkXUTDNAcQh7LJoH5kMVk9lxXfYS7vy0EIHZwaTebCJdu4Mxct877Q/ncdadyyJzjaYZjE6DlO4DADRTE5mI7jPn8CahYZnrg/IFXgFEzxZjhoGk96DZyPwQ9L1ls8kcK+tYGXoPlny62aF7Phx7PCiMAeOWaoT5coQ5YdLse7z179k0Y1Xa92yjnV4zpPo3mqOxbBEAzxJNK8FU2BkD+n2aOaoOUpmPjcRGZZ89EJEHRRkZGRkZGYc4pGYTUoj1tAGsLfvswYY8KJqCHm9R8VBklYJmnJVMYiBMNDMvRujxxjNJI1WiUXwi28Fh1jw2/T3VnwAkUUknUa0NyVzkVAnZGXkD3dFrygxNM6lsVZjf1lpHjJWLKHlHlEwZA9dudFxEGwIVjic9J4U11/TsVBvfyikjRhkzxnRc0JKsVwgVGeBpzeKikJxqFWK2Qiqj/WpaQdoLUTHVThVpRiM5t4KZ7LOxdMcUjo1TTxpM10ABhi2bzIIKv3NOMiWJdsidr55oA4PH1AR74rVe0rB2neVi7HeO7XMvZecpUxCW0GUhusicenfVSvgsTAA2czMwkmMlonuKQwdti+ITpRiUtv1JPKHcuYwzNbnvO2fhOXB6rcAGqomCwHEZi7AvwXW0bitF53VKWSzHIjq2JmXpGNEjpYZb9JnQMPeJSDVbjhUhpVsc81l1MG1mG8IoJsfv+hcKBMcsttIMPXsP9kXr98GhUYkW88UIALClXMHWYgmbhPksoLCsTGmKZVWh0SLqk9OCAkCjmNdyjlUx8R5M360F0Yim9z0FZwqC6YOnKdqA7DOZp8/2iftdQdiMjIyMjIyMjAOBzBTtA5xpCASXaudN4tiCHmuwyUYzQ258MRaV0RCZqIRmbXAfXbdKRNGKi0jSCHtanzySKKZ0OhwWNDoUNMJPIybatou0XD9q21/HAkX2/HZbmoEiuOrOUHKsV8KIUUbA95UzAIEBSHVMKRukppkrIY5QldU8xJ4t9nyJwCAAVkciyXFpjZa5CFRAqHCcjRRo2hDxU5fdqpAouZzQFHXBs5B221JIjJrS98f0OdbqOGjN0NhMnxaInMUd4+jKIfSLFpUImZKp1oeyOAVTsZO7ZiZLzqIG9aaa1HPRzLCxLDCW1peKy3COuITiDAUL1zgF9e6SOnFDJroveiyz7nO3jLZDj9PoY7Q9RgGtNblHHPthd8+CdibVuSgwcBWYuYr4AynN0ErpmY64EO5kppZU3BRwhfWpsssmdF2Jv1Lqv0VZw25tm2m57+5H7jyDdJTtR5dV1i/I3Tcuizb1F3PLONNYqIxO6MjeXizYd2lpdZx9blj4zWIZ82KEPjOfl1QoYMqZAtfcv4eUZpCIdUIuQxi8RUnuZamZz0gDEGUal3yyIDi9N7j9u6DYdI3URsIwp/sptM7ZZ/tEHhRlZGRkZGQc4sjTZwcHeVA0BSXTKK2+oeQmGRJwzFGIQvu8QZ+1dhuJsSp91kOjBSQYGh3YFedg7TIefMSaZJG1irJKkw8C1WGkUXA6Dz4xZ+6ydMAiP6E0y61VHCOr1XGeQCnrAITIkbI4k7WUYi2MX84AKO71H2mGGz1+Vy+O9tc7RivutUJp/1IYZ1+a7RPrn5RmUSQeR+AKsJohqYwPkWN0ONMQQgW/IRKpS9s/pmNNVXqsblklpGf7Ki59llsjxUS0anoV2Cr3nWGTAkNWCdOO62/KItL2UqQRftRfaPRF260p6jg+evxdmZWtffEX5DlzLueOFuHFZD9pbcBID5dqAhE7T6fZR7T/tRKR15QU8brU/4jui7JGgPH9qsom0tykPkddDJFI2R5lmFmqKRPk3jVeSHZZcn5o+4VQEITJdPcEvYa+71xBMBXpwFrNwex5cSwjYHRBC+XI6yw5Uxirwr/3RrLEyGrlRrJAwRUWyhUAwDG9PTiq3GPaYQ0UGGod/kQtqR526yEAqyOyOiEF5jPOAPiBg7sWQ1ZD8slqAG4d814JurF0HcfOSExqkQR05D92f0HOPpuOPCjKyMjIyMg4xKEwacS7njaAnH02C3lQNAWVaNETzNhlWXZoGjwzJAWWVYVlWQEIEaciGh7H/rhoKXVJ7YrGU80DMJnlQSPqaT4wKVJGh0bXrq+uflTdFtA6dsOmWSQyibRTbov6/ND+0mUpqO+R+0zZKMoUCaYhiWaCk3ZTrYXgOqqxBWDCs8jpiNJtWynQ2mQTzg0zJcugRyitLiYcWzhGrVmox6XjyDVl2holvEdLwZR38q24nGBtAMKmkX0XMDWhepELMMl4UtxruHx1c5dJldQ64whsQJ3o4VJmhrKcdDsKqlVyzsROwxazNjELQxlSmmGUavC6tCD0u7T/054Dek7gkowIG1lyRZgaTGhTUh8w6sDunpnODDh7TqQy7Ch1ZU8z1cJ23X5VqU+VW5ezkDVWiTbqH1g4h7QeITDJchdc+eXDosZcMfZMkWHPC/+O5Iw490tzTx5eLQMAjij24phit99utxxirxwAAEba6DP9u1aJmVNJAsrrnHoRm9/aXcdaT2mv27IMVQecLsn3nTBK5ljMe1bO8F3aSGyMeWPOrdoX8qAoIyMjIyPjEMfGlPnIg6J9IQ+KpoC7cTnTtsrypGMqAM8KAYYxWpEV0RCZ+lwj62g9kkWUXdXl/dKVseW0NFR74JgMHy3zoBOaVYl64jhTPQfJLltpS7TEMVokEbSPXm2/u6p8u/6m/jzT2KFWce9NlLIVFLSvgNU9aIaQ+UT7GbRDbttprwZXGyzUiDJskPeFIVlrSgHjukBtNUbusIXNTioL6V2UHas1q04aZdM4dDg+TrRDHfcH9espuQwMk43gXRTvGBGq6WhVNxPTFy36oiHbKq8Lceum29LfK+I23KXpcexQxWXI7LSgzKqrk6U0Q581U72SaGane16mrevOje8LU/62GbXmGe3SI01m+tl7v6t2FwOgAEFuNKM/CllY7hlWE5oiHWWipU7tkfM4D+e3KxORskepn5UgNQsrYbK9WjZ5n7lrmLLY7hxWXGJTaTLINpcrWChGGNoK9T2bPTa2Gbn3Ek+fgilsKkc4rFgCYHzeXLaZ1BxjXWKkC799Q+6/lCWaeC4Y99mRSodajObebCOGcaRKSF36c+IqFCgYZpey5441MutqU1ftIGWfZRwc5EFRRkZGRkbGIQ4FNjFNvJ42MmYjD4qmwEVHfd5gyGsf8QAmarm3NXPdy6ryc9BKM6zIKopIWyV8ZF6rkBnUlelF4RgfYDJzi3qgpFG4m+vvcsv2x5b0YSo7RTNQLNPRlX1m+hgeOJHUTaP+PF1INVMu7moVn6qPSn1qUhdt6mHkWAPqUhw5SHOFiiu/rCbRII3ITcOkE9p6IxF/JMaCX1IrOaQtPd4WHIOyQc96BBVcGSdo6ylENS9phh71eaHHRFESV2BaRy7NtKqTiuDUI4hWHq+4RI+HzwBQsxBdc63AIfxnCqr18Z8JG5SyQ2ktwa7aWAUz/Sl5cMYeq8LXFaxV4VWkLThqKSLmKPVfovot9x0AbCprLLchQ4o+B455CfeyqalF793AljJopqGU07iZWnI+m0wRfV7Hs+GfPc2i2nem7VhTGNVMIzB9De8KmskmrCN8z9Y7c6y1u8/T9wfVkXm/K3LP9a2GyNUkc3XJ+qxFydooQ9cxMa0WGPAa28rdAIAjiz0o7dN/l9yEJdXzGWaOOXMMEdV4cma0aJQ9EgisrNQcy8ow+o0W1gMpuKabrDL3/iDXQnP0eMiqdKxRp//aQUCePjs4yGcoIyMjIyPjQYQzzzwTJ598Mt797nff11055JCZoikQMFW3e7zxbqoOd7dzuBcDsm7sNVQTZiiNsFJ9B41mKWiEypgG13F0mGoe3LrjtsAYIWrsYlpohgyV7FBWwdUW8wwM4gwpreG1U3R7wGSrCKIHSjNw0p+ujhUQ67U4NKBiT6YU0TkhjEoXMxTVMCOVu6ui9UyBAoNoNRqrC2olh1I8aLjI8eiEvZkFp+3wxw3jReQ0HKkOTOmQcUTPc8pwOP8Ymh2URvTUTdjtGwCGReOz2vqiwVwx9vdyY91zqY5I0uvC4N2waYalA60sTjVEgsVO6WNZRP0quUZhWYZNRY2edTAeihqcKc8cAEBJKqUrwgbc2w5w53gT9jR9AMByW2LcFv669Ys26E0YAzRCBhzTGBbhnhvJwtf+oro+ep7958hRXUcZXIWIn0Pjk2XX1JYFUOF+SrPLqKaIMe3DWc5iV/fUVZs+/4Kr8F5gJjNxmpdTResKah4x2U6rFhhJ6R2j03YkGEoA88J4EQ352Dv/N1qAM+V1RAIKe5W5ZnvVAIuyHyrda8MEOYYoYsuhoRjzLJP3eCJMkWtHag7JGYT3C5vOYAvrU+fu7VLIiRprRvd2cDRFG2PeaLbPKfnTkQdFGRkZGRkZhzimJeKstY2M2ciDoinwPjgw2Wd9ZqIbwTSWeeWzKwBgGXa+2rkgu+rhiZ8LEKJ1t4y6Nac+QVFfEn8Zr6VBHMEqzUztJxtRUQYiZRm6jpkyDtTHpJEizoJJXJWpzsFpiGj9o5S9oIwJQDQDVD9DNA5pO1onvjNMoyCRLz1/Wk/6PDFybL2kVpNgCoXz7+ECtRQRO0SZL00yitxnf1649ploaeae04xRhkxqej4DmxLrSXQUJQ+LBgVXvh2a3dhHC3DihWWdp3kRou3K6jsGokHJpI+oWy18xmEKx/5E9xOLWUwXgTtmiDJH5jqKcO6Z85NpfbYnAGwuVnxV9Dk+NllC1pl4q1jEUcUevy5FowX2qAF+0ppIeFezgB+NtuCeeujPUXr/hYw30wZ1E+9iccMH7j2FFGcTrM207TjT4M5FWjPzIPPQB0VYI6lY5NQOxSBdKUam/ZPI7PNSkIr1gjBFlKmc1jd3z9H3BmeG1fSsl322fX3FGWwLYNgJ6kzt7oWeZWFGNjNtifWwW84BAO6VAyzLKsr26spiBCwjpHnQNFqGh0JEv6fHPp19UZpH+iPDksYMlTpIPkUZBwd5UJSRkZGRkXGIQ23A9Fk2b9w38qBoH2i0came42P7TWszKMw8+LIM2WdjVUzUUaKgvjuOKYiyrjTzfkMAYR18dB2ixzTjxzs7J/vUOtRecyyNYyTSfpY8ZlqkirO70qwtWp+JZuU4lmhaVpskDIlz0aX7oUxReoxpm7T6OhB0LzQSdhEzZTZoLadNZe2j3VZzLLMSurF94AwV4LN00gw8ygw4r6Yos81l4NlIuyb1oig4Qsag1DzOniPZU5zpqLK802Q5hkhpFi2jrFyRRLTGC8lstwKgZkXkTC5Y0PfYb+w+MHEMnKkJzZb7Pl23JF4wA9F4jYlgCiNV+utkGNrgjFyKkNU0x8eodYGRruzyFvPMsEpbxAqOL+6FrH4MANgt+7hjsBk/ag4DAOyqF3BPa1ijFVliue1NrTOYOjdzpn0tNIn4mUhZRMpk1rYmncsAY+Q5d+fN6VykYmjsudZagzEWzLTtvl3TGszvhSP4agGA5BpCa7+vggVNURdbnNYVTJmh1DPMMyi0vqMSkHwyS4oyPu53AR1l9d4tN2G3NNdlrMrOAQDV0lHvOMGUf/elLBFnyrNDXRoiqhvqOj4KV2cNCFmyByujS1md3/62kTEb+QxlZGRkZGRkZCAzRVPRaAGuhfU+GfoIxWkbXLSzKHuRV0qbZJs5ZgCIHYN9BD/Dv0cQnQvQrbuZhmm6Ibq3VGcDxJ5IDakQbnQjSQO+HQbGWJQJluqIaPsKDFKmnJaB4AqI9BOTWqBwLKFdwzaFz4VQE95I1DepL1oMrfPzpnLko/UVWUb9LVVcUZ7qJxwrmLILtE+031qHKFNrjUEZouRWcbQtn9jObRtqunU4RDPts8io1sNpeyj7RxmA1D8oZYnSfbiMLerdEvo0mRlJkeo4Ss9shu3cc+W+k2AYWafhRooo++jHerPJBLL96LOWZDjVmONjzHPzeY7VeEhxDw4XiwCA3eXQs0Y/bjbjx+MF3NuYbFLFJsWs7ny5LCyfLccM8+MOVyLWlElyjlxWWFftPw6NQijPVgnOIBRhbDXz2jrng+UzH4FIU0ThnkH/TPP4/VPxOPtMJaynW+b8qyjTat5z7j5VxicKQEMcq007HA3C9aeeQMr+1zBbz0wLLMue+V3FjKog1QWAWDc0iwVyy8O67t4KTuj0OgloCEZ1leSdZp3Gl8nMAACM2+532UZDgkV9XW8bGbORB0VTMFYFoAqMUWCsCi8GdGLUPa1JHd3dDCNxKy1oWUsR2cQD4Q+UKy2QDhxSMaZDo4T/Y9mQgpC0WCRACq+Sl130skymfCik4uBC+/VoH4JI0/3hZtG0QcHCtJJU3AvAU7iXtCLrAoin3uz0D10PMH+U/B/05I+smb7rLh/ip2N80coGm8ox5gszJdrjraf/OQr0RYNhUU+049qKylCQ652KvGsZjDvd9aOlPOixjWURieU5mY5kTPuBjkhFrnZKZ9YgmfavSESo6eCHDozSc1wkaf/0/kwHPdP+QDXaBA1Na6a9llkZtdEjRoAC2gcfy7qKinU6bYSb3ltmEnuleSZL3kaDpK1iEVvEsu/jFrHs/7gOeR0ZCu5p+2g196V5UhPI9J6kKLnyA3NapgMw57kq2s4BY6sny/LQ6XChGSS5byQpO0On7NzvhQilO5xJIxAXbk3T9dPrSeEGV3QQ5PoNAEoJ366ygYI3PNQCJeDFyekgBFqYf4j/YHOmAU3sBJiylg12Ght6QmSfDnxoW/Q7CQ5oN/Vn0+07BPsSzO7HGk9yCc762GOL1Lq/AXWbp88eSMhnKCMjIyMj4xCHRGCL1v/PIJs3TkdmiqZgJAsoWRqqGKbQK+DoXxaV9nBo1aSIlk5XVEJG0y9dvhPTojWge7prGiImiUwrTZRkIOLPWfvWlsYPhpLw0ymMx1M6Y1lMbEsRp7THBWSdkNj9ToudpiyQgAZ3UxnCiVQnzxFliABgoRphvhh5wzmKgsvEhM8glNyIqfKu6ayuwqPKToG4Y6iERKu4P1eSpEALayZJp1ro9B29j1x07PrVksKotCir62t8TBzpfKiYsi4Qs0Fdqfpd6LJIUCR9GhreFoAzU4TZQYJBWhahUQUaLSYKcrp2G4Rp60YLNKzw645UiSXVw4JN7x+ycUicKPZAEAPBO5tN2N0M4ylwe26l4hGroxBP9wLhXjbMKTxr46bLU4bULWuSz1FJHwTmSCoOiMBqdD1bXVN07ljcvdHn7cR7iiJNs6cMwyxRshFdC8+se5NJUgLIIWUXKYyImk98R6fKIsYTsTlmyhbFx5KWBImn1/wym44fWMUxBFO4h83Zdsz90OjZlgSHIrJ543TkQVFGRkZGRsYhjjx9dnCQB0VTMFYFtCpQMoUW3anoDk5k6Ap3umjMRIfdYsYuY0eKVCdiGB2rMSG6IIF4vQlzRY0otVtFxUtdSQBpP7MopV8q7iPYVEtBozKX6hvS6tmEFX56bBQM2kfb1PSxYOF3dw4o85DqeZRmGLf2WmjuGaLKmjp6kSkpZWHa4v73kSyx3Fa+Xaff8YacUkTXM0p5J+v5baGiZTQCH6siXEce6yeKKefBGS4GTZE5RleERqlgalnxbg1L14vRmSxSzCqBkGIyDbqbBRDQANEmCWgMrBFqySQkOJYtK7ssKx+lS5hnKzBZKvJcUZoBzOnCJBRYYCssGmsgOOKlZ4ZK1mKrWIwYKlpolh6L4ApKMZ98kIIWh001O4yZVH7aVsSipSJn93t6/joE/9S0kPbXaaC6dHYp3LM17ZrzrvuDPD9un65QbygRItBjTWB/EYxHFeJ0dprunur0UjF/zDhNljJK0/nTArJOU+Rek9OYJaU5RihdByER3isll6jb2e/xjUQuCHtwkM9QRkZGRkZGRgYyUzQVjTbZZyqJnEouLUPh0konzQQpywDEmWXUJC4q++AyWyKresIw0SyyJKqkSPtDM1WcAaM3kGPaFHa1mgnGQmQmFTfZcyTdNE2HD585pGa+aKpKLAMmtA3kWASPlxUsZMgUXKGWwms6aAFTZ7jmljkGp3XMksKEwaHrU8XL6Fy1SkRMUK2ET7NPmaLIzM9eI3eda5tZ5ZanRTT7JF151BboFS1KLaN1aLtdbItjiRxDFEpjmG3HKrTnMqrSwr0Ok+aMkwgp0VR/Mp1NoG0DiHRo5hglelTLQqJ8CY5WC89OllxBOoNQKIBxcJD+TtFymP1xn/HUaIG9qu/T+5dV5Q0j5/gYQz72zJEzE6SMn7duKGpj7tmadhbrXpxRyLS32OjSmlF2iJp1progut00hrYl8azP+gSPMhWpvshtm1oBhHeMee5KwuK5TMQunZkCQ+Hfa0Sf4xhby8o1WkNyhh5c1piaeO/5/XWwO45VElbbQzVFjt1xbCLVm6XtURuFWaDbuHeMKzS8qPumuKx95xR2FmBfbW4UNCZNe9fTRsZs5EFRRkZGRkbGIY48fXZwkAdFU9AqAaaEn2B00Ze0fh0uWi4QsmeULlEwFUUlSjMf1bVq0nRxWumOLqNHb9jGmI+m5ZT5bL+uRuJjlGZ/Ma9DkpyBq8CYjJvCs0zOB0h1tMtt9pkk3inRMXZEJ86MTmtlMnSI1sKxQZVo0ap+dM6G1ltoIBrUqsCS9btxhTtd1LbYVFEpkYYUdV1kVaTposyQMcsLL45GiShCZkx7Bsq17Y/T+7k4PUXwVeqLNtKJ9Ys26m8atSvCOCqwxJBR++i9x1uUXIELc15WZBUygTTHWBWd5TcAw9pQBkgiZiXKjsKa9JhTBoPqfQKb1sVmkvOrhS9Z4ZgrX9A01YoQZihlFboyrYTdrftjMrbakGX0sGwZoZEw5SRcwectYhkLxQh313O+XXfu58sRCiax1BqDwYpLLLfB7FNqHumNtGao28DCUqTGom59wGiTprEpsCVrouwwsrhLP5RmLrq+FzwUeXVZnxXxAfKlOywD499r0FGx4B6PPb1izZqKsnUF0/56u/ukiwkTMP5KjgVyLFGXF5HTm6WGjLQffjut/fNFv3d6M+dN5LCsqqBxs4wR9YDjUaGVjAcC8qAoIyMjIyPjEEeXhct62siYjTwomgIa9RcsuMJ2MTPU4Rgg8/422q87slVchERZFZphRt1nnRapk3Gx1vMp+yM7vHYcI0SdpyOfoBaQ3DJQ0i1z+iOne7LHrALnoKUxBfOfbcaLa5aWJfD9tv4tbh+ViDO6ABPZOj2HOyfuXK/IErUqomiwsuUIHJz2w3kBOflSLQ1L5NihsQxZYDSLLuovzUCyjEULjlZyz2xNK/cR2lBQRPeQZvTEpTIUeOLf5M4Jjeg50+ixxi8vmcTYaWdk0D6YZaozSgbMPSygSTaOniggO/WcWIaHugL7TCjoKKvIOFqHNkqSnVkmbdDtHGLNR6LZSUo40IQixya4/bj+jVWJZVahLwJTdHR5L/ZU1q14VER/SDYVNQbWcVshdoFuFUctrK+SFFhuKowaksXGlX/WKpgiwb5/SZmaadoRrVlUEDjNTATg3zeuLIlD7IQuI3dzl33oj5WF91oouRHKryjNvdNzj2Q5tkpgrONrRP2wIiaSI3atRpyBSe8H9zNoOQNbD63Q6OBLJcHQqKK7eLVtN2wb7kuPqPQN989Tq0TyzBh2/2DpdCR4Z5HctbaRMRv5DGVkZGRkZDyIkB2tpyMzRVPQag6mOaCMK630UaYCiG6oVSzKTAJIBKtN9JhGcm5dWiMIiDPOAPjMqrToaEqBdhWCDJoi5jPIjB8K0LrN3WZOe8E4uMuYs1k1QfuTsEPE/0QDcaxk1/X1mSSLmBgw44INmHPbKySqghQ0pT4gpHZcLQXulkMAQa9TEGatldwzKJRhGslYU9TlKuy73sEEas285onuM7hcO+1F0DC5dWkGHP1Z8da6JZtHsCAMjjmeSb2HWU/abLMQQU/LfimZRClkxOgYOBaHet0kjAzRjLjP9P6mmWuOefGeQgm7w6GjTLCCSc/q0GNx7M1qxKD78r4yz5bTwkzq75yHEWcKsLWsAGCzWMZmsYzDyyUAwJLs4a6x0RfdWw8gNcMmyyrNiRq1LOLah2m/uGNEgxbP9YWT+y/1OHLnh+p4AADMnJ9Whecnhbs/W8kj5jXNlGo1938ARJKF2CpBtJEqcn9XYChZ67MbS06cyPn0bEd/TjzrKSPWLq1txomDtauLRllO73YO43TeuKK0Ngs0dq22mWrcskSuj/a5o+07bo+T97z73CMZpEu6N/M4NxobOX2WHa2nIw+KMjIyMjIyDnGYoed+OlrnyaF94n4zKHrTm96ESy65JPru6KOPxh133AEA0Frjkksuwfvf/37cc889OOuss/Dud78bp5xyyrr252sVWW+IkHEQz0UXXKLSLvuMTfjYQCCK+B1abRgkzzLYjBPqaUSzWtx3KRgzURXNnqKZYXUr0DY2krXL0kwYB8UVOBWyMAalHVMU11BjNBtOT7rmms/dO6J+SP2yxVw1DowKNGrpHMIFFpvKa4NGbem9kAqh0BMtBmXjz1+rOSpudTTUEVorjGUB5f1v0ura2nMmdVuAs+CjpDVDIWRUaZxez0rIcM2UYfRoppj7veKtjTqJIzHRbaTu00ozz5hRVsawCHH0n8JF7QOSxeUwTVPg/H+CpiRej97XwuqYUpdinmgx4vbNtsMkU4lCJro5qblnEUwfurV56TEC5uWf6v98fTijXvHHNeYy0pT0WIMjyr0A4LOmAOCu8RzuWFkgvkVj9EWDkQwu6u78jdoyYnfd88KJL5fTEElt9ETu/pQwmaBmO3OMgVmV3vE8HBfx1Ep8iaJsSHJv+u/seeDa3I8NOV7HDlWinchSNPuj+q9uttwxPu5zj7dxRhm5vlRP5lgiyuDI6N6I74WxKr32yfSx+z43PkMFYBkfqYVpu8t3TovoPvZZlwjrbgR7s1pIzaZmG6+ljYzZuF8NG0855RTs3LnT//v617/ul73tbW/D29/+dvzP//k/cf311+OYY47Bueeei717996HPc7IyMjIyMi4v+B+wxQBQFEUOOaYYya+11rjHe94B37v934PT3/60wEAH/zgB3H00Ufjox/9KF7+8pevfV9M+ewM83uI1GlkIJjGXFH7bWpS94cLDU5Sbei2BVRUcdsxJTSqc1GKtP5GTnOg9fTsFAfHqMiWQ7Wu6rP94cgAp+/xn+M2tApRkJIcWgW2aMIPhcFXqmdcGe8i7iIrL8kJ2WuJHsf3W3PcPTYaj1FbYtQWJFuOoW7MLVsWEroKmqy0zlNPtHHULrk/vrlBjYpLtNw5cIvo3Jpoyl6nRLMROQJbJqglUXLFJfpWH2U0RU4rJW32SoiYKbNCPxtXZ5KlhphBAgsPblfNppKySmlNMk0qtYNPbs/csZiPMon8gaBrcqB6IiCu15UySC76dwxZyg6571JMME9Ed5NCJRF1ON5wr8CyOxAmU8y1XzIJLjT6zLBB26rdGFoN0YA3uH1lC/bURkvSKu79pwCjeRtZVrOWApJkXXKuJ54Zn5Fn62dpslg612ShAB6ug1Rx/TxaT89pD6fprWgttvTctEoAXEaaHXfdJjK/LGvothVJm47NNPuUUzMMqX7I7TP0y/CdlClqCHMjWGBsFRgaJWIH65QRIXXxgJgRS7Mc6bNn9hnumwbCM47uWA+Wo3VOyT84uF8xRd/+9rdx7LHH4qEPfSj+y3/5L/je974HALjllltwxx134LzzzvPr9no9nH322bjuuutmtjkej7Fnz57oX0ZGRkZGxqEErbk1dV3/P50drfeJ+w1TdNZZZ+FDH/oQHvGIR+DHP/4x3vKWt+Cxj30svvGNb3hd0dFHHx1tc/TRR+P73//+zHYvv/zyCa0ShYmOJjN8vKM1iYoq3qImFbZHskzaCllk3qWYkWXEV4RGK4xpaOspBCSVpZORv8sS887TpDZTlAEG+Cwwx+gwonfQihmWqXEsEwMhLKAZC5Ih1y9LFjDOoETQQWjFIraKcQ1tj29R9yAVw6C0LtZF61mbpbrCaFxGSXKKuGYbTyGrnZICSnEIy+y0BYn2nJbIMTGKY9wW3r9IqqA/0SQq7AJn2jNDfdGiViLKEpxG4DmWyGWvpEwRjbzTmlOmbaptkJGrrmDK3xOUHXJan069BIJrsIPU3LtGh8yj0L80YyxUZQ/+Nb5tsow6EbuXs/eUSXRDUf+mfO/6nmqwvKMxYrbEnTsa4bvcRJMBFgSse6VEjzeR55FjNg6vFtFoDqU3Awg+WL5NJTBubQZUa7Idw7MH+9Ppz+KMNaViFsAdm9vesSLp/clZqKHGoU3mZ7pOyjTCXNdIwwgWnR+AE2bI6HnccgWGihkndcAwh652nOTGRd2dTw41wRQJci8AIfMtzQKLzq0WPmPQHQd1VqeasE4xMbmvG4go0zF91iVhfl0mm+tTQ7MwoW0Fg+n3acb9D/ebQdEFF1zgfz/ttNPwmMc8Bj/1Uz+FD37wg3j0ox8NAGDJ/I/WeuK7FK973evwqle9yn/es2cPjj/++A3seUZGRkZGxv5BgkWBx3rbyJiN+82gKMXc3BxOO+00fPvb38aFF14IALjjjjuwbds2v86uXbsm2KMUvV4Pvd6k30Q6f+t+H4gminwEVBRZrEB7lkdphpEsJiIRIGSK0PpbK7SOkuLe3TplqRhxQnaDPhdBttYZ1/vtsJBuxriOmQxtWRz3WXJfXkpJDrQcqBN3YKsb0oX2Gh2tEIRKADRnZl8uYKOBFDPr++y4FY5mVGCpsjWZqjbS8XCuUNfmNlUt95qmoiehFEdjd9tKAaWCk3eaQUY1Wc7xl2aNUd0SAAjLcjWtQFlIfy3axO+IZp+lNcE40z665kyhIk66EgzQcY0rX2PK621iLQxg2K4eb9FjwYcJiB2k0+9SpFljZl8cYMrXC3PaI8okUVdgd0wOtI/UX8b97iL5Jsno8fsm7XYdi+vFNB1RFyjb0BDtktTMe9G4fimrwbtHDzFWBTYXK37bvbLv1+3x1md4NVKgJi7RPdGiFSQDSsV+Ye47B7qM88BvcK7RK4NvF0D8rYo2csLudKwm7F5c7yx47BQ2I8xnn9mMRupwPXBaKtEY9sfpIZnGUDQY2EzCoRj7rMJGC4xV6Vkdx+hQL6q0nh69d+g1o3qzkSrj9ygLrGajRTc7ROCWNxqAjnV3aaZaYM+4/TvgsgIn3+O843gOFBRhAfenjYzZuN9OMI7HY3zzm9/Etm3b8NCHPhTHHHMMrr76ar+8rmt86UtfwmMf+9j7sJcZGRkZGRkZ9xfcb5ii17zmNfi1X/s1nHDCCdi1axfe8pa3YM+ePbjooovAGMPFF1+Myy67DA9/+MPx8Ic/HJdddhmGwyGe+9znrmt/Lqug4i0GosYmm2G2IFYwFOMoehjbqGhR9icqjbeKR8xR8JdpvLcOAIzbAo0UkWaA/i4J0wEAtY1snW7BszZJJMEIUwQGwxxRhqRlgeXR8L9rDbCW+RCdSWY2dXbYbWCCjMk3g3aaJKo3AgDCUGlmPrMi1i+1I8t0jUo4kZLoSRSlhLQ+S7rh0NKux4Ax1yiU9MdNs89c9p373dR5cyyQyY6jddx8X2CjRxUOBQju1zSLzd0jNJpXCLXuiiLJptHBtbpkbazBQfAiaiASrQ+tSN5GtabMcj7hCu1PfZT5FWf/pNk+NCssXYf61HS1nWpAZrFIZv3AqKTMED0Gz+R0ZMGlSDVZNNsszejzmiJbe8u5MEtlKrovSsMeH1YukzppBVZkhd1jwxwtNxUY09jSGwEwLupBf9IDwMl9pNG0YuL5BAwbWghFMtXURKaaZ40xyUa6Gon9oo3qmfn2E12S+67kEiUCa5hmQy4UI/+5ZcJr8nqixYDXXkfUZ4GBEtAY8ho9u6yxPkA0k63L88gcEw/O57Z2GX13KvDIhT1leDhiVo0yPn4fSRth32Fdmm2W+iMJaP8sNkBwxj4IcHq8/W0jYzbuN4Oi22+/Hc95znNw55134sgjj8SjH/1o/PM//zO2b98OAPjt3/5trKys4JWvfKU3b7zqqqswPz9/H/c8IyMjIyNj/+CMhPe3jYzZuN8Mij72sY/NXM4Yw5ve9Ca86U1v2pD9LRQrqEo5USl8c7GMsSpxZ7MJgIksXHaT0hytEp79cYwBrVsU9BhGs+HWaaxXztjWKYtqi1kWxLEflEVizOgPXCSpuYKJUG10yAHNXP0lq69pQ2YaJPPsC5PhgWEAUnKAtcz7DYGx4HekzAbaCVIcG+UiNhF+Z25b2z9WKMMkuawyFZirthaQZYjqtAwMlG44Gl1A2iwzxpXxhbLrtjIwQ1JyyFYEZkgwyxSR43UZeE4rZj8LoSB4iOIl8ZNJa6d5zQVhjgqi35krxj7aLriEVEVU28lpikouI/1Hq4Rvp6tyvWAq8nxxka3P+qIeQoRVcvs1fVUoERg9CRZF9PvSTajkZplgkbx2KXYipn4zqW+NBIMkGUc0sy51eae6Ehfh06yh1MmXZlZR0VurBBrN0TLTzx5vsUmM/f6XZIUl61MkLfPbF9ZVndFn39a0465dbmsOxllkDvSzUhzu6ktmWCKa52bczk2f+6JFn3hhpUwRPQ8A+aPYQbiVLNQdHPLan2vH1jiN0VDU4ND+GjjNFQD0eROzQUxG9x+995rkXnDV7d2yNKOQY9JnCbCsF5qJbETvyq7je7dkwaE+ZGa6rN+YjUl1RHQmQGkOwQJzdKCxkY7WZ555JoQQ2LFjB3bs2LER3XvA4H4zKDrYmC/H6JWm2szuZoixfcjHqsQPx1uwIisATmhnli21PZuibYXBMFNetKgjpbJbzb3Z26gt0LTCD3w0Gfg4uHR0KUOafVVJFCLY+wsGNAwo3IPLwrSbas30k7bp8brlRoftnmlJBkYMJn3eL2NmUOSqnDBi9sh0xCJrBmhBNmYI6rWeBK8klJsSkwyMDKCY0MFk0syR+UESnVIw71MOqZ2dAIOSGqjg15XuOJUVkJMpRmqUx3i4LkIoFETI6oqfuv5VImw4KGtUIi7cWnDlpzNo6Q435eX+6IQ/5vSPM/x2Pd56kbbgLXrCGUIqCKhoiokngxfXUteUl0gGRNMGPqX9AzStREiaYED/dtBl00D7nBYBpQOWcJxx6r5gCo0SYXqtY3/hj6SCAJsqMqWC+MZ5urgpEi2wrMxNtSLLyGZjUDbYVNaTf4xhBsyx2N8YjjpISWwzrIDWBzaaRUaqHKEdxkxpmXCPBfG+0swIpxPLjoIMxGla/VgW0f3ZE62fwpUIBWpLJrGJj6ISLVQ2wKH9VJovCjyFkXDTaW4das8AEENLOyiiqf0U9L4sSfFkd2zm3WDPH4sNd4Ew0JNWTC3pADqZLqN2Eu7+CPu5fyIXhJ2OPCjKyMjIyMg4xJE1RQcHeVC0DzRaYEWWPqK/bbQVi7LCcmsodBpdLza9SHhbcQlVxFNknu2xAuyVxkRbTSvQtALSMkVcTMYhikwxcStUHvQaLPRGPu22lgK1LFDbwqi1FBjXNj2WaSMqdsxLOiNifCoNtBFPUxY8Ih64DvpsYVL0tWNRCm1S9p3wWjMzRQaAVxJFJdG4PhQAL1Q0VegaljWgax7Y95YFJqvQ0KUGcwfB9IT5pCbTW7yYnP6hzJMzfSyERCUkEa6b6QvH1AhSdHOhHKMi5UQc3HSK0pwUkjVTCq7AqJvi8dNrUfkDw1AKez7T4qtALEYumfTCViCOolMWo9EFWS9miaghomOjaCkFb94IHZVGcKwQNTyk4Ez5aTNhbqyo71TMnTIMgYWLpw0bLaamYpdcGQbRMW32mCQLbIDbp2cB7H5bJczvtoutEn57pbmZBq3Gfl+1Ep49UpphxTK/K02BAZnWFlwFdTfi69Ja5leQ+5eaNlZFmO4ZFo1hJ8n2y23l909tPlrFI1aJslwuicSh4BIcYVsF7lmjPm8ilsgxO+47anbpWRkdpsEo+0dZocaK37vKc/jpsikMEZ1K9ewULR2T2KnQ+2Qcpf2H6276RE1SdVz01jNP7jmw37PJKe0DAYUNKPNxP2a3DhbysDEjIyMjIyMjA5kpmop7mz6qpsI99RDLbenn5ZeLBiNZeNO0ftGG0h2aRUVeh0WNYVH7KGR33ceiE2kqbopGynhc6rQu1MDQiYZ9wVWmUFh9wlxV46jBkmcnRrLEYlNhVJhLO4pKEZRgDJCuUKvgkWEjHSIz54pI2CAwHZFFLuhTlYLuKbDS6YIUilL6lHTGQikRbktziGFYVhaSmNtxb9Yowa2Wh5F92h4IbfRHVCdECtZqjaBTspYFlBkyBWtdH4Leo1+0KEgk7jQZLuIvuMKwsKnIokFBimg6y4VNVpCaanZSuwYAXsQ7FHWkpzAHEZfVAGJmxaFk0hcw7TJsDGJSMbGti7xd+YUyiXq7irMqMNS66BDKTuqjwnHHBnj0eOh6keakY9/UBDJFQdriYP5+VpqBgxFBrIrYH6WDxqS1UxSc0zvdtskUKhHMGxfrHpabCivCPGOCK4ws8+tK7XiTUptA4RhIAUUKMRvRf+E1ReH5dyylY4JdUVfHoLWa+zIzHDqy+XAaRmoQ6+7rPm8iDVF63d06bhlle0omMWRtpw2EMVwM16ZkMnJilpp7ttTpeabphibPP9H+JfeqJNqktMwJTbOPS5nYbZMSJu7cDsQ4MvFclhUgq4jN7PEWXLQ4GNAbkH2mM1O0T+RBUUZGRkZGxiGOtMrCetvImI08KJqC3c0QZV3h7tEAK03l0+4F0xA8MAcjGVJiTRYLx2JT+XYO7y35aEyBobH6opEuUQmJEbH9Z0yjLG3kRjJVRIeZm4skXRabS5f12hOfLSWjbUd1YI4Mu6LBnPaGkjIMhmmhZQk4QjaaJqzNQKG/eYR+ZbU0iqMsJHpF0OEMCqezMVkvi2PDmNWNKeTKSZTsSi5AMbCWB50TAFg2SgsNXspIRwQNyMZlnIWMKBeJu/NQVBJlIf05rkQo41GJFv2i9dEi1Wg4OI2GAvOZhoCJQiveel1CSdKjXWp00OxocJLuPS9GPgIdqzJiQnq88QZ501ii0i7vzMKi2iHEGWVp8VgKWmZBah5lm6WZaUBgiiir4I7d7y/RDaUsUqO6X0lOw5QyRKlhn9mHggLVAoXsTwBRppwzCKwTBsFnZYnW70PpAq0SQSMoBVrFvS4QMPczAF+c2DG/jWVpGLkWOnn2vWUE6aArx9F1PsI5CCwsZxoVC6wSzYB0Kfvhd+ktIkoe72dIss2c3mzO3qudLJ89x2OUXkcEhGwzmmofaYgSM8VZRosT9xu9xxIWViIU+aVp9o6tXY3guMdbbBYxU7QoK1K6R6PlAnWbBxoPJORBUUZGRkZGxiGOnH12cJAHRVOwc3Eehe5haVyhbopIfyK48ixIKwUaayB4WG8FBVMY2ahoT91DxSU2lybaKEgkboq6xoUitWaobCHIQdn4jCdmI0DvN4RQqJMWJAWMx03BJVptmRgZSkb0ClNEdZmUzcBI+EwbpoIhIzSMN5HrMrNZZm4x11BDG5EOGxwxv+T30yiBIfFvoRHoUlNh3BQYW93QeFRCq8SoMvFRCsY72pcSYUKDFxpcEGNKFfRRjFvNEeDNKYU1ghz0awyrxhfWHBSNZ39cUc3KGeIxwxTVJGvM6bccO+cwVgUE096EEUBkukeZI59hlmRiAcE40rE/Tu8DhMwvuo0xyzPLa0IqOMagphoP0LYmI/Q0+nZw+g/AZi6x1jMutcto05PZZ/uqyk01RECXPiUwVSljN81Hyf8k3jMU1ABPWU0O1YVRFOTcriD2JdPa9NcZNI6awj+jwjIvTqukNVAR9pcxHcxY4Xy47HFpPeFRRkGLwKZlZgpiwOg+93gwd6QFiun9yKHQ541nnZwJIwAM+Rh93njdmmOO3HleVj1fANYxQek5d9eV3lONFpEODAgZXq5PKUtGzTun5XxJcLRaYCzDnzfqB2ZYx24zTyCw7cY8knl2clH2sNz2Qnaf5lhuS7TLYxwM5Okzg89+9rNr3ubcc8/FYDBY1bp5UJSRkZGRkZFxv8CFF164pvUZY/j2t7+Nhz3sYataPw+KpmD30gBC99E0AkIocCe70SZDymf0KA1lNQXLosWwaFDYiHmlLbGnCZGFQlywlLHgjyOVAOeKZEE16Fs2quLSshXCf16oTLHGzeUKhiIYoCy2FZbbykeTNGOjKlpTRsQ56SoG3gYvIoBohhJoZtghbf2RdE9B9E3/er0m0j0NyxpHDRZ9VLrclj4jRmmG5brCeMVm6dQCqLlhrVwHvBbI7pwHHREjjtKR/shuy3jIPvMuwIWGKBQ2DUxEt9AbYaEaEy1YYBsKpjCwWWWA0Qktycr3vy8azBWmnU1ijB5vfSQ5VgXGqogYFYfgi2MzW3iNoRj77DROsmn6fISStZ7podsrq+0Jfi0KFZOd9v9O2+O0NYI1U8sEeNbILk4zv4xvkf29I0utJv5HqYYIRGPks5AQWBw5hSnqwiwPJopGC3//+X1hkjly+pI2YYrcs6Y0Q8ljTY5jZlymUtQPGZ47xwYDhrksRND0CK4w5pYtbQo0SkCTzCrfnu1zxem9oKPfqUt+XzQYiMDocKY9U6R0yMgzGWUhq3Eo6ki7VrLWZ5/1WIM5Po7KWdRaYFkZNnpJ9by7dQp3/buW0jIe/nj2kYHWmQ1p26HZZmNZTBQEBqxXnI6zuFKNkfNzkom/0VLbizKPFYwvVdvO7vNGIdc+C7jjjjtw1FFHrWrdtdY/zYOijIyMjIyMQxx5+szgoosuWvVUGAD8t//239ZU0iQPiqZASePhw7lGUUiv83Dus04PwLkGiG+Jc5EFzA04aguS8RHmyEdNGdU7clolzw6RmlqLTRU7ZZNlK7L0RSzNun2MZBFFlsvWq6i29dW8L5E27A+td+aYIAgN3Zp6Z35ZqYHKHsugxXBoGJPNwxVsrkbev2e+HKFgEvc25sblTGOldk6/ZezNpFmsXQLzWW261GA9GblRe28XrtDrtRP1pNx1cd5Ebv9lITFvnYg3lTX6oo0cfYP+yWpzrIZoLAuMZBl0HCL2PxEsZKcJF3mzuE0gROYuo2dejLBZLHuWyWiDTH/m+DjSEVEYnQ3RlHhdknuU2yj65kx5JrCe4gCdtt/1OWKnuqqJEkwUgyWgxV79d1N0RBzBj8fcIJOMEu1f6mJMmYKuorAAZY+CCzRtZ0/bx6ai9usMROMZRq2ZSc603W/axLdJcZ9R1itMBqbPBCP3zbKuUDfC64h6VYvK7tPp3bxuyGrKaMaZu49dwWHKSgqmPfuyoqpwbMw5oVu2lzeY56OIHXK/91ljas1ZNnCkSox0iSXLFNFss3D+QyYidOB/ZMIMAklWGYsZuzTjrOuPurv2zv9orAq01i3bbaOSe4HqgpRm/vluybLl1tS6c+/vkSxRkyoECgxLdQXZzH4eNgp5UGRw5ZVXrmn99773vWtaf1WDol/4hV9YU6OMMXz2s5/FQx7ykDVtl5GRkZGRkZFxX2FVg6Ibb7wRr371q7Fp06Z9rqu1xlvf+laMxwdHkX/AwE0trV5p2AhpPUWYMh4tITtE+7l2rZn1NJL+cy0LLNo1K1J93WWb0ei3EEGXU0uBsasfpEwGGWV/3Lx3oTlq4lqrwKLsFLrfpmgheBl7EQnA+1SXGnBMEdfQnMEJSTQ3GV/M+ShVLQ6bWwYAbBvuxVG9vT4b6+5mDneNN2HoImzR4h44rQ+LnH61NsGhrhw7pMBsllhv2ERMEED8l8oWW/orUR2yWgnssY7hjQqRN2MaPav3AoBN5dg4/RJGwqFVAiNdRtlmtQxOwCNZRtHWgNc+2uZao2Cxm2+oZ9aiz1pfo2yOj9FnTVQ3zEXbfVtLitYdkwk75LAvDY7TIFF06TLcftL14kyy4GdF2YpunUesIYra7diP27/UvDNTySHNwgsRf8zSxGyA8N+Zn2nmUXhmaiUiV+h76rmoTc6UZ4oKrrA0roK/EPHC4lxDyuC/VdoaZDQj07NciqElLFPTCsBanTkNE2WGoOGzI+dEjYVyZNeVE+cize7y/ku8RY+3GDqfLOtLNMfNZ5N9FphUww6ZTi2rKnI0p2yg07HRbRuIsC71V2IanGRDSs1B0kc7fbC6mA4FjkZxrEjTvxVpnl/6TqRoFY90QfRzo4TPIGwLHrmA11Jg1JZYqs1+6kagrguo5YPDvmSmaPX47ne/i5e+9KX4h3/4hzVvu+rps9e+9rWrFjb98R//8Zo7kpGRkZGRkdGNPChaPRYXF/GlL31pXduualB0yy234Mgjj1x1ozfffDOOPfbYdXXoUIHL6igLM5/vvEgKoTzbAcBrgoCQ7eTmnF09I7eutFW2zXYaTcsB/1lNaCscBFcmorHfOUddAGjbChxEb8QlFqoxdo/7AALLBADz1RitFBg3lgVpTW9Yz2ZplYGpUi0H48xnxDChwYQCtyxOWYQIT2mGuWKMeWEi1t3N0Hi/tIa1ObK317t8122BXtlCOq8koaG18lllRV+i17d6il5jdDqW6Rq1hWd/hNVYhahdYliEqLnV3LNpTucV/IVMFlZJzrfTI9Sq8OfZHRt1uK5Ei/nC7GNTUWNejDC00bXzayktc9RnbeQ1VDLpI/GSGe1PiRBRe58i6wHjYnzKnqRaGve708vEFccN0+M8ZGhle4fY9yVE59P8ZgDDBvTRhP6BxzXL9pHhQjPOnKN02vd9odGGfRgTRi/0z7hm04yjSOeUZB7VxNG6loZhbIjDNc1Mow7TpZAYjwufcVYkDutSMTAW3hNpBXulA3tKa63RTE4FFmeYMYW+kFiw9+Dh1WJUJb7RImJYSi79uaa+Wo4lchq3Ia8xL1b8/SmgfEbhSJcYqdJnm4102Vl7zvRBWNfy4As0VmXkY0RRMjmVuUzvh1aLxGMqZBOuqBIr9nl3GsC0BlpoJzBDUvGo0kArg6ZNa4bFcXhmWslN5rG93uPlErrlUCvTHJMyDhT+5E/+ZObyH/7wh+tue1WDou3bt6+p0eOPP35dncnIyMjIyMiYhMb+p9QfHEn4gcfFF1+Mbdu2oaqqzuV1XXd+vxqsK/ts9+7d+OpXv4pdu3ZBqXje9/nPf/66O3MooVe1EFWDSkhUhCloNTcu1iTS4DyOFBpfEVtDaYG+jfKkCtG/IPohty5jYc5fMBVlsTUyjlwdG7XcVIb1sEzRfG/ks6uAUI8NMFGw4ApDy8QwptGMwy3AGLxDtNuv6yIvTRaYsJlgnCsfTS+3JkpzEWqPt9hSrWDRMkU7Vzb7aFsqBs4ViiowJLoy9cgAYNNgjGFl+jdX1pELuOqZbD4HmpVTcYm5Ivj+AMCKjU7HskDBZcQMUf8WHrkAq6iSthIMFW/hKt8PRNAQDcXYeLvw4BNFs8jmxcjrfwTTVkdk2pHg2CsHXt8Veed0MCbu3KbZZy6rKmWIAJNt1ugCI22ZIrseZRLSyL1BiOhTlii4H8Mfg1vX/Zvsd1zrrFHFBDtENTAcCo114E7dqgUUlA7brciYsXDXXmnD+NHsI6CbOahVgVoJjO191WoOrZnXlUjF/TJh73nnNO8d5q3HVotwH2tt3O59/y1z4e7XPXUvqpnGufIZrpwT93rveUWY4GKEw6tFe750xLT0eTPBwgU9Dw91GG27jmVyGjeHka58dtmyqiIvIlqvzvWNPndgCo1dd6RKLMpeVMG+9Jl05lpTdjK6nuT9KHVcs6whJS8aywo7ZriWolNb6favCBMoFUctg46IXreaaYzrAsrqSVXLARYyYLX9fLCsfzZy+uzMM8+EEAI7duzAjh07NqJ7BxXbt2/HH/7hH+JZz3pW5/Ibb7wRp59++rraXvOg6P/8n/+D//pf/yuWlpYwPz/v6WHAZJ09UAZFGRkZGRkZD0Rcf/31a/LuOdRw+umn44Ybbpg6KGKMQev18WJrHhS9+tWvxote9CJcdtllGA6H69rp/QGFUBBCoZamKjbzDI42mWGkdtdgaJmNXu2dbIHgPeRH92SeuxISmiOarx63wutnwAFlMzEaKQzT0gbvHBdljsYlNEINtd1LA8wNxljoGc2BJh4dI8tg+RplQkAKZSIgAEqGMMh5A7llTBhX6J6tzbapV2OuNMfdL9ooyju+fzdGqsSPxpsBGKZo0WaFFZaJarhlA/o1ykJ6VqwqZFR7aKQKz3pVXGLYD9GsOU3aH9NQND4SLplEIc0+5wRDj7eeYXFut1EdMq39PgF4NqhkCj3Romej6DJhBWmW2JDXUAj1o2hNspK16LMaQ8sU3a02QYJ7LYtgGnDZhjrUl3LLnEeM1Mz/7hBliBEX3kYLjFQ5sX4XO2XaiSvWp2wAj9alzAufYJbcuXXtUE0J1YbQ6J8zhZLDZyAphMwfpRnAwj7HqohcqwEQdVZc34wzjVZz1LYWFp2CaBXHqC18nSznLeSYBM40Vix7tqk3xkpdYnebGMc5JqEWkK42n3tf2M91K7C37vmaiUt1zz+zTqfotpGSo7UW+q0yOkTHmM4VY8wV40jz5DAUtfXDUvYclUYXaflpiVArruRG40brmTVaeFaRaoiWVQ8jXYR7w3pJ0axNOl8gVWDwFmXPa33c+XTPmkk7VWgdO6n4VK1SmknYEB1Yq8z70ekWqZt/un2jRMT0t9Iw/04npDQz70GLljDpXCijGXP3ltAQlQRT9M47cMhC64A3v/nNWF5enrr85JNPxi233LKuttc8KPrhD3+I3/qt33pAD4gyMjIyMjIOJeRBUcDJJ588c3lZlmvWQjuseVD0pCc9CV/72tdWXVzt/oqVcQkhSijF0TRknrtQkC2HrG32VM2xLIPnTkncr03tIx18TEiEampzAa1lYprW1ORx89mcaV8Xrbb7X7C1uxrFMRpbvcxKaZypiUt0PSqw1DdR3sJw5DPklusSggc37lZyqJab+mMWLsIuei0Yh882E8KwRFuGKwCM066D8XkROKy/BAA4urwXUnOfhdVq4V21dy1ugtYMVRkqeZv9mj6N2lg/xZlGUwSGy7FG/cI4UruMsoobNmeTzcrps+DBMlYlSiZ9FMpRRRFpwSQKF/wxjQWMPFOUZns1ShAWyfjOOE0R9WYBJjUxlNEZsjH26D7GNjLnWkfZhyUklNMRgdYO4xM1maimZKSDj1KjDSMmEnlll7+MBPN6H9qm05w4/xkAUNBoyPaOJerKIpKam5pwOmYDKMvkGTsA0hlXwWhO6EvcuBSHfbYqZJ+5PjqkrsWtEhjJkKnm7rvltsSoLb1uyPmHuWeEMjjGXwsY1YH5kI0AXN0+DejKaYCMEz4n2anLTYU9Niu0tW75vu9kPW790QCgL1qjfxPOebqF0szXoaP1y9zxu+vd4zGrSs+1gHFXp3q4RhdeRzTSJZZV5c91mjFIkV73ZVV5dmhFVtH6BWSi7Yq1QSrZhyT3Sa0CG0kzyNpEf+WuGf08aoPeqGmF1306ZshlEGrFoJ0nHdcAYY00ZxElJkqrsSwoT5ZxX+Gtb30rXvGKV2DLli371c6qBkWf/exn/e9PfvKT8drXvhY333wzTjvtNJRlXOrvKU95yn51KCMjIyMjIyNGZopm47LLLsOznvWsgzMouvDCCye+e/Ob3zzxHWMMUj4wPBvGKyU4q4ympuVAYyOXhptK7s4tudDQlk1pmgKMAcxGbhVXkDrMvVPdl9QcbRtqdbWtgGw5WpKB4pgizhUGvQYDq+GR4x7qkY16VwqwhoX6ZRpQpfD6oaps0S9DPbWxrX8GALLlUJJDk2jIBunme8W8tqgsJeb7Yx+xVjxEfC7b4w6rIVps++jx1vsWzRcjz/AApip4ZZ2quf3pnYARsuWaVkQRn6hChfJNVlvhomKXPUajZqelEFxHTFEaWQOT+pppKJn2DJiwGg0XzZYsZocE05G2pdEFlq1VcZ3ofIw7M2XsiCsw+V6BR/XBal34rDJ3HLQCPQAgOU53Hmg7zuMm9fuJvLNcxK8FoEW0nybpO802GuvSa3aMFijxSiJMglSMuIDH2iB6TK7WVa0o40c8bMC8hsixCjXJRnPH6Vgi90y00jBMji0A4LOPWikMg2OfY+meHVsfkDcMUljGqZTG40wQd+5E9yl9/UQVZZ72itY/Z8OiwbAYY86yni4jy13vkM8a4O9rci8Ahjkqieauzxp/vyrNjR+RZfTGRBfkWCLvlZXsj95HI1Viqe15Bq+xLJ3P7gT3y7h9tik75LRSrgYZZYbodVM6+LZ1ZZlRR/tGCoysN9u4KdA2wl9fLRm04p4B0oqF7LJCARwQNqNQSQbGtd/WaI8EVNOtg9poaB0qAexPGw9UrFdYnWJVg6I07f7BALW7AsYVmGTgDQMf20EQKaYKALKv0Tpnx4EZ+LiXnXNK0ETw514s46YwFvFO4CeZfSAtVc8AJcwyUUi0hcS9IyPwXBmXkHZQJJY5oBicmz9TgK4ZpN3lYtGH3mReqHO9GvP9MRbH5g+z1gxKKijfPQbG42vthNbAZKQSSl8UWGor3DU2JRF2j/tYqMZ42KY7AQBHlIvY3Td9v7fuo2lFKJsiOQqhItGmGyhKxSA4vPh8oRrjyL5JRd5aLkVCStcf+sfZpxuLZUj70geAHsyUwZiIf9MpADrwMW2HPx4l6x74K81RcRmMFDXzf8QEJGotMFLmHHUVZ436wJSfcgKCoNwJ2tNB0DSBNAA/qHJ/vKhI17VDp6bM8QaBLoBoao1D2wKhod1UIEuL5popMytyJ+UX3H7cXyQODkCR8xLbQ5jBl1m2IitbksPstyAC+FZzk2ovwx9Ymnbdau5/H7cFRnURUuAlh1LxoMifRq3RsCDK9YJbuy4fcf9VLSpIydG3iQGFkNEfNanCVHkhJPpV65MNSkEKwDKNgWiiNHYARISviImqWdrYaS9vFOuNP1svrO6TARIQDBrptRF+exml3af3mALDsi+xUZnp0sRU00+RIQyCpYqLs5o0+jBwpcVZ03ePGfSKaB90WWsTZIDwrgWAtrYDIhWunVamfBNg410XS9i/jnLF/iI0NNNQVnytJYMCDpp5o0JImtmfNjJmY3XhMcGHPvShzrpmdV3jQx/60IZ0KiMjIyMjIyNjtbj55ptx4okn7nc7axZav/CFL8T5558/UQdt7969eOELX/iA8Smq7hYQfQFeA0wCziFflTbwdlmlmsGdxmYkUA8kxMBOMfVaPwUGmOmgeslG/2MBzeDLW7gpOc99CAXNQ4quUhyLSyYak6MCfNlG5pKBKYB5Ct9kduvaRr57K+x1osLNDFuGK+jZKatxXYJxHfqgAzXMhLEWcJGtsQwovGibk2mtRgksNj38eGkegLEFuLNsfYrsmYf/AMf1dwOAL7R670rfnxPGNJgILIQ/BXYKcWinDbdUK9hSGqG3mw5TfhrBGMEt2zT8I8q9OLLYC8AY091Wb43YlEaHdWmk6UwC/bQRicIBJxw213DIaxupBzaJQ0EiGAxKQmY1pIimY1e6SlsozaYuS0XSIzvNkR5D2h4QWJsudE2dgcMzAJyFdG7OtE+J79rWb0+OxaVSu9R4x+wUUODM9YFDgHkhuyTsgNuHYyCceFqRKTw3QVurAqM2TK01UhgTQyl8u5JM0bZS+LIzKWNLA2vGgKYRkGObZNFwsEKDu2evBTCyzwsvIBkwcueDF0jZfW37QMt6AElCgTCMDifn3q0DIErBd9NctJAwhw6mmywuJdRogWVb5DW1bqDTbqlYX0AbJtM+B4uyj8XWpsNbu4WU1XGbt7qYZHYI60SnxFoVpuXSKbJWdQv7AXO9a1LOqK4LtP6aCT/dab5w73DfWfi3sAawLMDH9l06kFCtgFixNiWtMbdVo3V5IK8ZWVM0idtuuw2MMRx33HE4/vjj8dWvfhUf/ehHcfLJJ+NlL3vZutpcM1OktY4MGx1uv/12bN68eV2dyMjIyMjIyJgON/26v/8eSHjuc5+La665BgBwxx134Nxzz8VXv/pVvP71r+/UPa8Gqx7i/vzP/zwYMwUOf+mXfglFQaIKKXHLLbfg/PPPX1cnDkWUew07xFvzz91L6U9eA6UVKhcrDKrg0PbcjI5owSoJbpkYWQvwu0x01b+LQSwDjTUVVRXQzmmononkWCMgliw7MdDYu6UALPvDlwRcJi2TzEY7tuPc9M1poAAOZae8lzBAr2wxKM3GjsVyhnNaw0fM0KZkgXQC1EZgGZUXpK6UJeYrM40qFccdi/O4+95N5vNIoBalj9QWqjEeufl2AMDDhkZnVHLDKu0Z9TFuC9R2XSEUSstkCaYxLGts7Rl2aKEIZTOWVRWlY/e4EcA6/dGRxV48pLgHAPCDZit+3Gz2628uViJ2o9Ei0idxFkonOIGpi7YbLXy5kJK1kUGjWx5+L7xpoVsWtEDMp8w7pCny0eckKnYR9LKMzwMVWguvQwr6I2q6x5maWjS1ZCYdvmVm+UDUUAgsFTXaC6UoAjvkfnflNlKjPX/KOIKZnz2nQUwd992Jdmk7bj+m/I4r6muYgqiUQ0s+S050axyyESaBAjBaEw1oF/jxYMYqG/NwORYWTEO3Qc8HBfDannsBtP2EEWm5Z2J5qbx+j3MNwbRnYZVmqCwTNBC1MRcl57bHW68H6vGGCJUnWTvHurlz6O7HmhX+HgQ6yr2kGjHyO2cKjQr3NmUfpbXnaOk916H5ASbZn9h+wejAaFo9BS3a7MqyOJ1io0zKvRPIax1YObQsZopUKGXk23PXaFmgWGJBR7qnQLEEWNcPqAKQFSAn1SQZBwk33XQTHvWoRwEA/uqv/gqnnnoqvvzlL+Oqq67CK17xCrzhDW9Yc5urHhS5DLQbb7wRT3rSk7Bp0ya/rKoqnHjiiXjGM56x5g5kZGRkZGRkzEaePptE0zTo9YwM4otf/KK3BDrppJOwc+fOdbW56kHRG9/4RkgpsX37djzpSU/Ctm3b1rXD+wvKZUC0RqMDBqTO/i7A5y3AbKTAWlimxkZCSyWYKrFytI0IW4b+nWZZ/05ANBrVXhvNCFiKh0RoLsOtYqg3Vz6i0RwhOtVW52SvpGYmrd4tVyV8ur6WDEujyusK5no1Rk0BXZAIzZoqjkdGb+QgawFo5o0sm1b4bJnlusTySg/ybqMrYIpB9xQau/3OxQUc2dsCANg+uAs/M/djbLbaoB+WW3DPeICRLVtSFa3XS1RCYlNZY740oRlnIWI+TCxjUfawuzHO6rUqwKGxyaYubxFLWLJ6ie+Oj8ZP6jCId4aLbj9jWfoMvILJ2ESRtxBElwFutEQAvPGdY39MdlfMGlHdDdUUUW1RChftU20Q1fO4NHcAWJZlVPyUsj1AXFSzUTGLkGb79EXjz28DAJpDET2KZ2WUmDDa49D+HCowH7WbLLAi2qf5PpiUIkkrl55JEBFTREt1jGRhmCKidQlsFEejQrZZLU16tmMOKIsgJTcMUOvM+2CKfnqdXTBG1S0HI6ys5gxMaJ+tBBayU1nDwMYcYnMwP+VC+QLMwpYRcueAE6bIFHRu/DJ3fcz5MwydsKVQoMI95HReVGfHtfbrNhAYaZcVxifuFcBkGbrr5M0aLfPnnovSLncMJTVo9NfJab+mFGV116tNMh7p8SrNoueDQ0fZU3HR3mDI2LYmQ5DqOT00zLvbPc7SXqs2ZJ85Fr5YBooVBP2oNMvc9VelnUk4SExRTsmfxCmnnII//dM/xZOf/GRcffXV+IM/+AMAwI9+9CMcfvjh62pzTZoiIQRe8YpXYDQa7XvljIyMjIyMjIwDhD/8wz/E+973Ppxzzjl4znOeg0c+8pEAjOG0m1ZbK9Ysmz/ttNPwve99Dw996EPXtcP7C3r3KhSlghhrNEOOdmhH2DbK8BGhDqwM0wCrARvkoVoEihWNuR+GbYsVGx02AJfaWMfDzE8DpF0FMBt6q4Kht4fB2ctIolVQJdAMAReMG189DSdlYRqgwVpbFxgVZuFcr/bGjoDR49Q22qrHpSlnYrUWuo4zqaAZ7l60LM1KCTUWEGOntYBhn+z6y3WJH4+MhmihHOGocg9OHv4IgCkee8vykbi3MVTcSBa+JAhgokPHgijO8dP9HwMAHtm/DbvlAF9bMffhj0aHRaaAu+Wc9wvaVc977Qzgiko2PrNqWZaeYXLRaWnDRQENCYbSF56tg/mj822hUTwCO1STTJuRdlliIWssZYNo/6hpoWAkQtaIfGCcX49DwWZ7mbiSLKa/JNsMGrUqPENh1uVwn7gqkiieGj+yCQ2U03yMpDnOooOV8P2x67p1XP8iDZFlH9y9MbJlOQqiw6EaIqlCpp0r8uqiZKWZ18qplnmvGnN+GZhQgQ6QHLD3NWMACHvKlGFtnQ5QjYXPUuWNYYbdfgb9GoyFgsg046xXSAiuiNZLE92NQMMkOAt951z5Yx2hjO7t1CyUs8AUmbbjsjXuXpZgxrDRnUMkWiBN1mXGgNGV8qDeU459nDVNQzPMJH05keLZ01git1wq7n2ImtZkmknL9slGQEsO5Zi4Iui3lGBgKpjdsoZBjBmcTypT8O8txxRVe91LGZBl0CDp2rzf2+bg+PjpDZg+e6AxReeccw7uvPNO7NmzB4cddpj//mUve9m667OuOfvs0ksvxWte8xr87d/+LXbu3Ik9e/ZE/zIyMjIyMjI2FhpWNL4//+7rgzgAEEJEAyIAOPHEEydsg1aLNTNFLsPsKU95SpSa71L1HyhlPhzGmzmaOQZLKng9j5dqKDMvDdjvFTG6LQCAoX+XnYtfCudGlQxgDNxGGaK2UYxtl9fKs0a6YChWAG29fFYO52gHZMTPSVacMH10QZYudYhuW+NYTR2je2XrowfBFQS3egRhCt/6ciZjDjQcurDsCAOYXVfvrsAJe+b3bXUb46bwHkat4vhJfxMeMWcYn+Oqu3Hs5t2eXfn++Ajc1RjXZ6UZBqLxGTQn9O7CYwffAwBsLwqMir04XNwEAPjXYju+MzraR1I/boI9hPtuYNmfRnHskvMTWVPTUDKJIREORKUvdFzotdHCO2dTZmhZVZHzs3OQdsupZsexQNRxWCJof8aqiHx/qGdUS7U+hIVxx2l8a2LdBm3HMQkVd1oS+P66LDFus/GUzz4L+3P7oRF/yhIZtor7dT3NKdpAmfpjCdokU7zVugnruOgn9SFqpfGwoRlmQHCaV5J5z6DI3RgAKy1L5Fyr65App/umHIcri8MUzLZ9y0LUHKIO2hTWBgaqEhK9ssWY2ww5KXzh6LlqjIKwJK3iWGx64XyBoSJFiI2uyCxzhXG7IMEASfRohOVyWjmn3xqr2NFa2cLDQNCluX1Cd2WnBWYrKgBLmDx3bLSAK12X+gW5dxLVjCniLyUJy9S0Am0jvPu+lhy6YdCWpZvwnZJEQySZ0WGS92dpY/vevRrVXoXBjy2LXDDIvoDs23tX2nfdQWKKMg4O1jwocp4AGRkZGRkZGQcHCgwsl/k44FjzoOjss88+EP045FDPc8iKQ/YBWcLzjrwGovJgOjAkXAJQ8HoeVQLtEGhtZFGMOOw0PIqRmY/mTqijDRPEfTjGwVvLypTMzGdXTn/EfDvmC/iJUC0sR2qzZyJZADNeKbzX2s1YFHEt1VWIphWDagLLAGbm313UzAY6eH/ARlxO18S1oZJGds6/LLBcmg5LtQl3j4a4Y8UwRz81fyceNvgJHt4zzNHx5V2eeSkhUTEZ+e44753vtRLzTGKrpem2l3dirxzg7tawTHe3cxPz766dPc0QreYYuAwfrTG2hY56vI30DCWTmOcjzw7RDJg0WpbgUSFNWlNtpMqovpjz3XGsjdQiuP5az6CxjgtnOhjn4jiSdhF5TTxinObC7WMik0kzjEhmGGWRAHivHL/cZ6Jpf97c99PYCt9n4k0zkkXEKjkfr1YJgNP+EY2S1ZA4BoExHbErEXNgfWr8vexYJc8U8bi2GXV1Z9ap2nnZMA1sssctlGEd7P3pL4lzj19ogT3hwdQMkSN2T7RRH1O4bM4i0dZEP8EtMdGtfKDu060SUIx5vRwwWV/PZZu5zETqPeV+D9mXYVuVMJJpjTL6mbNQ5HkkC8/ohbbcvUzucZfNlmSbjdtQU612mbCWJfKFraXVDLnPDYcilQNMhhlh+wjKPUDvXvM7bzTKRQlHKxZLLXitwO0zowqOdi4uunsgkbPPDg7W5U++e/du/Pmf/zm++c1vgjGGk08+GS960Yuyo3VGRkZGRsYBgNIsLkmyzjYyZmPNg6Kvfe1reNKTnoTBYIBHPepR0Frj7W9/Oy699FJcddVV+IVf+IUD0c+DDq/LUYbVccawYqwhxtp7WQAhG0wJw+Y4/VE7BGQPGFsNGFOxBwZvwk3OJCBGQGGDOqdHAoz+iCmzb8AwTHSfkaaIehgBRk/Ewu9Kch9Br4xLLKqej6AZ096byNQj09C2LV26lAzCbLkoS2hDIHlBFCYUfb46uOYYjwssjc1Junt5iO/PbcWdWwxzdMrgdpxQ3g0A2CqWIaB9Vtke1cON44cAAPaqPraKRRxTmLDOZXc5rKjKszIlU96FGrCMB2FbxqqIWBCa/cOZQp83IYIGw5JyNdO4rR7u3K6LCW8iWj28C5MV460HjKxiNsW7aLuK52ZdIVqToeej9qC7ab1eSZN2wrHVMvaJocyQ26ev6wbt9230RDyI6RQghPbns1ZFxByZjKSQcdQqHveJOGzH5yNmoCiDoq0uyTEfjRQYO58aKdBKjrYJ2zIWmE3V8uj+NNlm5nctuWEZKnue+xKidA8BIFvhPZigjTaFWR2R5izyLAKDZ1sVGPqi9WxQv2i851LBFQqufL0zeg4qLiNdTaM5OFjIgGTBHyqtUaYsp+WYV+p2nWY9uozGoDETGMvAVA5cWp1re0rdsbA8HAP1I2oV9/oeTa6lP2dJG/69YbMJnU6saQVae71NtlnQhmnJwBoOSnQ67zhdamiuoez7zGWbCVuzTozhGXreGlbeCY6ahR7aTcJ8B0D2GNo+g6xnn4uMA4fbb78dW7ZsicykAWPq+JWvfAX/+T//5zW3uear+T/+x//AU57yFNx666341Kc+hU9/+tO45ZZb8Ku/+qu4+OKL19yB1eLyyy/HmWeeifn5eRx11FG48MIL8e///u/ROi94wQt8KRL379GPfvQB61NGRkZGRsbBwH5nnmk/E3i/x86dO/GoRz0K27dvx5YtW3DRRRdhcXHRL7/77rvxhCc8YV1tr4sp+l//639Ftc+KosBv//Zv44wzzlhXJ1aDL33pS9ixYwfOPPNMtG2L3/u938N5552Hm2++GXNzc369888/H1deeaX/XFXdEfq+4Jxry2VtnExt1CFGGqJWUb0c5jKMjuImUvT6HvPPR0BEY6CqeJljdxwjpTmDEiGCYlKj7VnmY1l5zYOugoYJMOyTFjroHWhmTc0ByTDmZgNeKO9UDZiIuahCeMW4hqa6okIbzRIAKA5tQ1RdKrChNhE3XHYOifiFAidCLDqvXUuBvU0PtywdAQC4u57D1moJALC5WMZWsYR5YcxC98o+7pXBe2KkShIFJywNyewaiDqqAcWZijK4wGXEJCkdIvF5Por24zx6zD4FOBga0Grxob7Uiqp8tA2YSJ5mlEHzyGOmsM7OMskag4bPAnPV5VPdTZdHkNMUOXaiVRyKEb0HQo0tx1a4LKeKtxCExSl4qMbuP/usRcNUjWXP7kdELFWkMYHRmDgNVEHqeqWaJ5rJxJlGwRRqBMZOKR4qoUvh6+dJy4ZS3ZAGC5/pM2FZIqdH0TUH6yn0NxnKtlc1UM4Z2zIT4T4XiGpnjTga62DNR8ywEfZYFld6UHOL2FIZJ/dlXkFpw77USqDiEsPCfrZu3Q5jVXj3dcPYtUmtvjjt02UvFkwaxsd+HiMweKkOxp1rSc69c6WueGtZpPAMFFwGFpGFXG/nJUSvZau41xEx4lrdaKMDi+4N5/1lNWK0nplSzLtWS8nR1ja7TJoMQXd9WcvAaU06bTyjAMMUqVL7LFrFzTInu+IyvIOhAdnjGG81f0NUydAOOFqbGCh7DFpYzedBQNYUBfzu7/4uhBD4l3/5F+zevRuve93rcM455+Dqq6/26fl6nSPANQ+KFhYW8IMf/AAnnXRS9P1tt92G+fn5dXViNfi///f/Rp+vvPJKHHXUUbjhhhsiiqzX6+GYY445YP3IyMjIyMjIuO/wxS9+EZ/+9Kc9EfP4xz8ez372s/HEJz4Rf//3fw8AkWXQWrDmQdGzn/1svPjFL8Yf/dEf4bGPfSwYY/inf/onvPa1r8VznvOcdXViPbj3XqMl2bp1a/T9tddei6OOOgpbtmzB2WefjUsvvXSmidN4PMZ4HLIzUgNKH4S5xIae8arwA26SFcYbqwWy24ixyVbz4PDOqdCELYKR/mgONPPM789LdBqA66BX2P0IjnKv6w9sJGQ/c5MJZskV00/HXDFm9D91ZdfVsKIDs5wLND0b0ZUSTGiwQtnPCloyCPtZqxC1iGGLopI+UlOSQ5TSawfSW7MqWx8RCq4xKBofGd/bDLxT7p1iE+4pl3BYaZijRhXYI43zdcEkGiE8iyS10ZdQLcOcFWjNi5GtS2aWDUSDkjBXPRa8kBotMBRjHFnstZdMR+zUkI+xrIiHDPEecj5ELjKXmsX1pUjGjovUqReM9x5SIsoEK4k4olUCPcviAIBk2kf0/vzywAyloOenYCowNkyh4DLyFOKk5pvo8DcKbIVCq0pS/yos49CR3xAAy0jJaL9xH4MOx+tpWOwnpTTDuCl8NlLdFKGeWSug6WnXliXy3WUhO1MzwzJYRpRVCsOFFcz1at+HkWU5lOTWGVmEdkB8uYrQP7lgdUouo7ARGLUFCut+vbW3hGVHObSGLZqzup2Kt9hjHd5TYaxj7LoYH+c7FDF6TPrniTqlT/OWotcw8r5SbJKdJNfDu5EnGYyubZZcO8C6UrcieATp4Cckfbah3cayRt6nqBXQzpeoZUbfRVyqKSHLiEE5G9trVnhqC3wc3q3U401VzLLwQUNEPesc5PoIiTUjM0UB9957b2TY2Ov18MlPfhLPfOYz8YQnPAEf/vCH1932mgdFf/RHfwTGGJ7//Oejba2hWFniv//3/463vvWt6+7IWqC1xqte9Sr84i/+Ik499VT//QUXXIBnPvOZ2L59O2655Rb8/u//Pp74xCfihhtu8JV0U1x++eW45JJLDkq/MzIyMjIy1oMHcvZZURT+b/kZZ5yBP/uzP5u5/sMe9jD827/9Gx7+8IdHbXziE5/AM5/5TPzqr/7q+vuy1g2qqsI73/lOXH755fjud78LrTV++qd/et11RtaD3/iN38C//du/4Z/+6Z+i75/97Gf730899VScccYZ2L59Oz73uc/h6U9/emdbr3vd6/CqV73Kf96zZw+OP/54404tYf2D4GuftT0TdRRGGmAiCxs4irHZpnAsTW2WeTdsAR856tIwRR6NWc9FNGIMz/aUKxrFcnC4XjxeoB2ETZkifahhvZNsVFeEZUwbrZKTBfE26ZMANLNR8UBADRTYwImcAID5TDVeKBSFrWZftRBcYVSbiLQQLQa9xmtZSiGjSLEnWp9pA5iq4E7LQjOtODQWZS/K3HJZVgPRoM+DD5ACg2AqZOUI7VmkIa8x0gUW275vhyOsu7lYQY+kE/ZZg6Gl+PZKs41bPi9GuFsaDZuLzNMq5dTrJY6aVZQhl0bULoqneg13Htw5UZpHWUZKsyg7qeASQ/JU0z4UkcFW3IcuV2/qsi3BAMJOCMRZT5L0gzI/ynoxuX27zDP3mbNQ8yutm0U9oVplqq+7SHfcFBg1pc9G0oBnigAbVTufmjS7SajwQTPohoFZdqAa1qjK0P+6KdCQLDbXtofQUI51oHXRCg2MuWczVMPRKIGeve+PqBaxZJmhXZjHSIYMyBLAJstyOpbQubEXXGKsiogddOevFDUKch1bJew9GRhDt11NMsvMTxU7oyvha+q1mkcMogKDkqW/znQ7l01YEy+igikoHhgomTCY7r7X2vgwuXMsZdAUAVZn5Oqb1Tywe61lAZ2mSLHInw2MZM9q+8+xSkJDjMM7UvYAvWQ3kxpaMNRzlikaAG0f3o+NSYCPMZFpm7F2bNmyBTfeeOOq17/gggvw/ve/H894xjOi793A6BnPeAZuv/32dfVlXT5FADAcDnHaaaetd/N14zd/8zfx2c9+Fv/4j/+I4447bua627Ztw/bt2/Htb3976jq9Xm8qi5SRkZGRkXEoYCOyxx4o2WeXXnoplpeXO5cVRYFPfepTB29QtLS0hLe+9a34+7//e+zatQtKxdHn9773vXV1ZF/QWuM3f/M38elPfxrXXnstHvrQh+5zm7vuugu33XYbtm3btu79yopBVSZCAEyUwBur5YFhZsSK9r+3PQbRhDtPiTC/rSr40k6yROR4qzlQ1KbeDgD0disUK7YO1V0jiMURVk7YDADgjcD4cLPeYKdxki5cdW5bPsr1j0sAlpThdYiIAOJn5JJyyvA7RhxymUMOLOtR2iwdq4nQTHuGRAoOwRWGfauJEBL9svFR8UI1jiLNIvFeGYgmYhdoFfcVYt1t3KYDK2PqQDGyPLA9tF5ZnzfgqofG1p1aVhU40yGjhzBMc3YbWm18yMfYIswDWCcu1q6fgM0+I9XFDUsifX8U494F2tPYTp6iGfgUh4xYc6OsU3H83JXEM8g10xcs1uV09DtimQgzJDqYI8o40Kw5k3EUlqXsWMXhWQfKErnPqVaJ6lq8v402GhNfxb3DJ8dpU5S2GUkyMBCMweuIjNbHaUoYmNDgPatxsuznqDH3Xd3GLtqyCc7jrk6ac+SmbKhWzFzvkWU+hMDiOARfW4uQVTlWBQpeeYd15xkEAHNi7P2wAPNsrMjSPyMFlxOaLPfMLLU9KDCvVTKHa9tJsgIBjlaFrEfqdF4whTa5N2fVC2wV99dbaZPh6HVumkdMEWPBGV3qwAylGiKtGZRkJlsWRgPGqIO1Y4BgftLPWiBce8XAa+a1nWLMQC2YNAMayww1c4aB8hUK3ClR4afLUj4YMIOi/dUUrX2bf/zHf8QVV1yBG264ATt37sSnP/1pXHjhhdE673nPe3DFFVdg586dOOWUU/COd7wDj3/841e9jz179uD000/HYDDApZdeus/KGUVRYGFhIfruy1/+Ms444wz0ej0IIbB9+/ZV7z9qe60bvOQlL8GXvvQlPO95z8O2bdvWrfBeK3bs2IGPfvSj+Ju/+RvMz8/jjjvuAABs3rwZg8EAi4uLeNOb3oRnPOMZ2LZtG2699Va8/vWvxxFHHIGnPe1pB6WPGRkZGRkZDyQsLS3hkY98JF74whdOTFcBwMc//nFcfPHFeM973oPHPe5xeN/73ocLLrgAN998M0444QQAwOmnnx4lNDlcddVVOPbYY3Hrrbfi2GOPxU033YQnP/nJ+PrXvz4x6NkXLrjgAtx444142MMetr4DtVjzoOjv/u7v8LnPfQ6Pe9zj9mvHa8V73/teAMA555wTfX/llVfiBS94AYQQ+PrXv44PfehD2L17N7Zt24YnPOEJ+PjHP74uqwBVAszVPNPwPha6NXqiYmQZnXuVz1Zo5jhEo732RwmgnTPu1YBhmYJ/ECDcnDSAcgno36NQLtlsn7FGuceEMPw7twHDAVTPqO2Hu4DxEY6dYij2GP8kh9HhxCOI1GqTpY2abZTkyQbngbMSvmuGNuvNVf1WAmBA27c6gwUOPbCeOZVEv2wxLE1/B2WDTUXtI/6+aLC5NCIsx8hQxodCQAcWRHNUovX6mcOrRSxajU+jeMQMAcAWsYyaT97Svo6ZS9FT1YTgsLInhUOh0YU/J33eRN5Ce9Ug2k5p7tmLRguUTII7B1wddDilkOBQ3m/ItU+ZozQzzfWRuhQLpiGTWmim35OZQLBMXUu0IZPMUOzkTfVcabYXPWbqaeP74NbX8XeK9pfHLtauX66flPlzOiIAniXy54QptIz7yu9KMq8pUq31raFRcUQlAMEgzPpzER0R1bLQyFzZjEvuMjI5IArp+8DIcTajwrhdS3ct4T12AGBrsYjdNqtxS7kMBYbD7Ivinnbo38ybxBhjXWKZsD+OhQGMt5XLnOzxFgqcOI9r1LLAEowmb74YeUbRZQS6e67VHKO2INeCB0aPTQp004xCeq/USmCltV5o9j4qSJ8oo8aZju4j5wnl3Kzd+VeSmevqtEAtB1yle3tpmXcah2dxgJBNBlgdUBO+q+61x2fPt6qAkZXH6sK8Kx2TxFriYYSQqbYPc+8Nw0Zmn6VZ1rNkJBdccAEuuOCCqW2+/e1vx4tf/GK85CUvAQC84x3vwBe+8AW8973vxeWXXw4AuOGGG2b269hjjwVgtMAnn3wy/uM//mPNvofr9SVKseZB0WGHHTaRBn8wsK8DHgwG+MIXvnCQepORkZGRkXHwkA7r19sGABx//PHR92984xvxpje9ac3t1XWNG264Ab/7u78bfX/eeefhuuuuW1Ub99xzD4bDIXq9Hm6//XbcfPPN+8327A/WPCj6gz/4A7zhDW/ABz/4wYOacXawISsA1gOIqRAtVHcpVHtVEoXYiEVqiFGonbN8pPUzIneylQ2AN0C5DJRLjvHR4K0Gt3qk6q4RcOO3TLubF6COPMw7XDPpdwnNgXJR+/7I0kQ9rr9iTObCYaId756trKOr/Vwuashe2IcsgWq33ZADsg/oObujoUQ1Z5mhfo1hWWNQmoOruERfBO+hgQhsS4+36PEWfcvyLMsKy6qKalxR9+mSKwxsJti2cjdGhfUwaubRZ413j+ZMY46PI1bH1SiTMP5AlHFZkVVgrThHbVNKeqzxfQPg65o5LRHNHpNg6JG6aD3QTD3DipU8RMgCyjtju9+jWlXJG6/LtZgzjQKB/UmZNrpuldQOS9kfqu1yLJFjGQoufXbdZH8UlHXvdvsrufQRP2exDw6HRmVZq8p9l2RJAYGtcAxFJSTalmiVSP8ZAwpBMqKoSzXT0Iz5On5240AOcaJYZYAoA9sjuGEynCxAK9KOMiyRW7eqWvTKcK8ypj0b1IwLgGsoy6bySkbrGmfq8ExU5J7/qf4uw1bC3G8j1YY6flyiJm7TSnNssg+7YeAkekXIVGuV8Nfw3maAPbVhWheqEeaLsdeJLbe9yJk68pLiyrihU2YIccaZ034psCjzrNUcQnGvc6OaMqlNLTt3rpUKPkUciDLIjKaI+4xCBvhsP01dxRF0Po7BYQo+M61YNhpPX8uyNvtx+2qHIStY9sx7Vbm6aNT7DaFtOSkzPCDYSKbotttui6an1ptsdOedd0JKiaOPPjr6/uijj/YSl33hm9/8Jl7+8peDcw7GGN75zneui3h53/veN9GP9WDNg6I//uM/xne/+10cffTROPHEE1GWZbT8X//1X/e7U4cC2gGgezbFfhkolu2LcNFMl7kCg0yFkhrlkoIWDNoOXkSj0TCG1o4dxQrQ2xumx3ijwWv3WaG8ZwX6O9837QoBKe0f+CO3Qg1L9O62hnJlD8Pb7MvsWI2FH2g01jJg+RgGVYRpMNYiMibjMqSUKlsM0Y0BVMm8qFDUpg3nU9hsApoFBb3ZUvWbxpizwuphVWOurLHJTp/NlyNUvMW91oCOQ0cU/7wYYZN9w2wSIyzKvk99pwJeDoWhqP00mWAKR4q9fvm8GPntGm3S80s7DabA/YDGLV+2b7tWi8jgLjLAY6aMAt3WDKrMiRFQfiBTMhlN4ZnCrALKveQZB4fy25Vc+ukyc0FCIVIO5reTtnBnmi7t9smZJiUWlE/T9/0g6fstBBlQIZrKKBOBLoXSLHLdjKfSwmDInTMOTUqQcNCz4s5N2jcA0VRQqzjuHg39NOxRg0UfCLgit7Q/gikvVJek0KgZxKhQ9oHraIDEeBgTiUJBCIXSCqyFHWhJNwMpVGjXinXdYGy+P0a/aKIitSNbQqfuFagBcLtur9eiV4TBjwLz99jmYhmCKTNtBjO19rDeLgDAbjnET9p5YvPAsYQKy3Z6alNR+4GNN/8EmV7j0r/k54tRZHewpVz2g+o9zQAFV9hUmvn8kSwjA07wYAbq7s2u6VW3jvD3BqLvKUo7KG95KAnjBlRucOmn2tzIxevCtR9oQdpFvoyL+eHfgZJ5E13emHe6tylRiT0KGSCBAVpob38i+86mJR6YqPhP4P0CCwsLa9bszEKqLdZar1pv/NjHPhZf//rX97sPz33uc/e7DWAdg6JUdZ6RkZGRkZFxgLGR82cbhCOOOAJCiAlWaNeuXRvC2uwLo9EI73rXu3DNNdd0ZsOvh6RZ86DojW9846rW+8u//Es85SlPiYq13p/QzJvIQIwN1Vrb8huyKlAtkvTyFe1T52Wfo+0zKFsgkLeWmXEp0vco9O+y1PbeGrxuwVYs+/ODHwL9HpiwKafjMYojDzcbrozAByWWjzUj+3qe+chGC2Dn4xiOtNd+vFVDjFgUvdCUUqWCaNxt7yIhpsLUmrbTZY3VqLebJDAnUQ5M//tV46fL5qsx+kWLoSurUYxQMokfj0x/aTq+Y4lc6rszO3RTCcuqitKtSyajKTHHBG0Vi6iYhLRR5l7Vx7KqMCQBqYtW0/RtDoUeKUSqkuUCKjAxUNH2fd5EEXKfNRAkxXysyiC21UFYXnJzHFRgrBjzzFEDEdLhtZ7K0qTnpMcYJLiP+EsmPavQkvR2IJTUcKwdTfU268fzANOmuThT5gZxAn1m2nTrjlUouSFYNxtFpwopy7A46vk07IUq3KjaHotblzGNQpCkhkJCWiNHyeKpGAcXuHKhyDScRllICCfYtscsyLSnK2bsGKJ+Ya0meiP0RevZDXquD9ukgU3wrJebNnLTXkuqhz4zz89mYQoff1eZckS3jo/E1sI4CPZZgz5roGj6Phv4qa2+aPyUp9TMCPG9JQSLy9nwFg8Z3AvAMLQcGj+pNwEAbtuzBZv7KzhusBsAcHczjNP+NUPNCt8uhSkQG85Xq/kEM0RLezgIblg4dy8XTJEyHwxSiWS6SIO5W1RoPyWmmSnt4YpV89rQPbTItpMT8Nq8D6Uv6mpyIaSzXOHEQHdk3rOuJIiGe5cS1lExqINl/rMB02cpy7W/qKoKp59+Oq6++uooy/vqq6/GU5/61A3dVxde9KIX4eqrr8av//qv41GPetSGZMOv27xxX3j5y1+Os8466z4VTGVkZGRkZGTEOPPMMyGEwI4dO7Bjx46Z6y4uLuI73/mO/3zLLbfgxhtvxNatW3HCCSfgVa96FZ73vOfhjDPOwGMe8xi8//3vxw9+8AO84hWvONCHgc997nP4/Oc/v6HZ8AdsULRR6XH3FdRAAX0FNQDaOQbehHRP3nBUNqOxfxdDZXVCqmIRUyR7hoVxor6VI7nN8wd6BQOvS1T3LgIA+OZ5tD+5C66SpZif98IHtWUe9eFDjDebdut55nVAxRJDO6+wfJS1vJdAO6fBbeHDektgqnhtWCIXLGiiPXLbkvqb0BxQlY2S+gqikqgqqw0qZDA/hLbCUaeRWMEmMcItS0cAAHbXA2wpTbpxo4WPft1n851pd5MYYWypLccg+dId0Kjs74Irr/8BgJEuDUtj1SxScy9qbrSYSN8vmYwYoFDU1egWvBaIKYAwPkM+9uJuBaMZ8owU2Z9dwZ+jHm9sUdVQYJWKtpWN8s2BSnCSLk0jfqelCTYDEkNWo7T31YqqfJFUV3ojlPmQKIk+iRMWR2mGgnw2wvDwDEuwCRNJlZQsUYSh8NtpNsHE0XRuWk6iVgL9Mlyn5bb0LAwt8UH36fwmKgDasqfjugQXiBg8pbjXDXGuPGtUCYmqaGmzaKXwJWoYYY1cwVJnSurMLt26SjNwW05irqyxUI08S1ork+4+tqaIPxwfhhN6dwEwmqw5voSH9O4BAHxvdBS+uWJSlH9+eCuAYEzqNGVD69Z6dH+vv1cVOKRmEaPHoXzpDKU5CvvcbRIj7KoXsNgYiqQqWhw1WMSKvbd3rWzy1+iI/jLmy5E3gU2vp9LB9BEACgQxuukXi9g0z/Zpw565+7FVHKWtTl0IgVaKwPYxbawQ3C2g4UsOMcagEcTcLTPvuqIl94tz+RCG7WnnLaupmdFOWjZdM/iSIKxlYC0pGSIm/6ZprqEPknvjRjpaX3/99avWFH3ta1/DE57wBP/ZlcW66KKL8IEPfADPfvazcdddd+HNb34zdu7ciVNPPRWf//zn122euBY85CEPWZflziwcsEFRRkZGRkZGxsZgI7PP1oJzzjlnnyTHK1/5Srzyla9cb7fWjT/+4z/G7/zO7+BP//RPN2wQlgdFU6AKDZRW29FXwWCMaWgO1IfZjI8BR7FiDfqWDNvioo52iKh0Ri2A0VabnTGuMPyxxjyOBABUt+xC8ZBt0HsNc8TmhpDHGaZl+dghVo4QqO3AXvZC9oRjoRa324yivRyypyNDMbFiOuDYLZ+qKmOmKDIxK1xUZaOmUqHstT7a1hoY2QwYxjT6Reu1KpvECFvFEg6rDDu0c2UBd9dBWzbktU9759ARgyIJ+1AmehRBOlsyCcEU+j79vEXDhNfs7FUhxZQzZbK/CONE23MZXAAw1iUqHeuY+qzxDNU8X8FeNrB9Zb4fAFDKOWOIZ3VODQtaqZJJSDCfMCNsSvZIh0fQ6S04DFvlmCTKlpnUdx6xTENe+yynsSpIpppCKZTXuvjjTjLBAKNpohoiZyfgUsHlhN6IE9M9gRUZGIRG8yjNvotZcH2qpYhYhrmq9p/3jPtIQbVAnGmUjs0SAGfufiSlPcLZjbalxYpLLqP08p5o/fKKh+0cc5UW1vWaOQZf6HhYjH2qPADsafsYkZI1e9o+bmch7fjossWRhXlAx1WJH4zDMspqbi5WgD6wxwoBDyuW/L0wUqW5dxxjYgvC0ixGd5yLso+SSRw3NOzU5molYgqPGez118iVH/EGjOR8AYb9KUhpm9TYsVUcLQtZaRzhXJttAsNYW5ZTawbBVdCmCQXNg0GnVixIe5h5P2l74IxrwwZZAZIYsWCgy0ymmepbBo/HgwRdBVsCZ1zrs3fZpAfowTRvzJjEGWecgdFohIc97GEYDocT2fB33333mtvMg6KMjIyMjIxDHdRQaX/aeADhOc95Dn74wx/isssuw9FHH31oC63v79A9ZYqfaoCV2qckcKHAhIaszKkbofD6HTFmJlvNyiJkZdgWV8qDZhSp0hQc3HuCYTQGw20QtYJYsTb8cwVGW80+xgsco8ODv1CzCZBDG7XVzLA5Nnpp5hXY5hpqj/XVGQX9E1OGAXL908xmW5ACh9ISOu0c0G5SwNBqeCoTMbsMH6WYz8aZqzT6osGczT4rmcQcH+PIyngK3VMPfdbN3fVcVE6iz4yxo9MRjVQZsSDgQKkdwxMidOG3txon1mCvDiU4KPvj4ArElqxFo4sJI0a3/yGvo+2EZZpCl5zPj8Icq70+yv3kcpJqVpohtTOR4Bgysy+BUPrCM0Q6sENOU0J1Rq5vzqMJcP5MQZtkzBPdOYkZIqoDEjCsKDUUVAjnjxo5OqbHaaCkZmhI6RSFoGuplYjKephlxJCRaRROE8NsxpgOyxx75rQ8NCsMQMh6ikww2QRTRDPKBFcYWINDx+wEo8KQCQUAPdF6RmxYFKhlKIXhmQ5SzsaxKhVvMRB1dM5XeEWK3XIstebZ34ktAICjS5MZdmx5j+/3He0WLKvKPx8lkzihdxf2loFF41aH6BhF5921R/ejosScaZ+luCIrSKLvcSyRu7/cs+y+U0RTJpiOWCWatehKsURFfVnMBvp+2/uvIboxB5NdGDNyWjNwJ9cjRo7m8Jkp0AuY+4cDqrKf9xRoG8fsa8g5BQzNddeDoBUFTMkXXyC7cWJM1ykN3XKgJuKlUgFt3M8DhY3UFK1FaH0o47rrrsNXvvIVPPKRj9ywNg/YoGj79u0TVFZGRkZGRkbGfYu1CK0PZZx00klYWVnZ0DbXPCi67bbbwBjDcccdBwD46le/io9+9KM4+eST8bKXvcyvd9NNN21cL+8DsEKDFSZq5aVE1TORhbAeJ2NbFLKGhhzZzIqao22I5bwtSuhKZ/AGkMOQ2WBKcDj/oxKDuyXao6wj7gJHa4PBesHMg8uejcznFcQWE8nJ5RJamiwJANBzbRQhl3uDm6sSRoNEEjoglgKzoUTwN5J9sz5stCZseQNXKLMslPcp2tIbYb4YeZ2QgCk0us3WCPlJNY+7rKaIa469bR8/HB8GABha3QUtquoYioJJ9NH4DDPjnBwcooHgW7QgRtjZHOZdq4HA/nBYfyEbDm4tFnGvHPosMkncr41+g/k+COtT5Jgply3n98GYZ1e2sBWgiEuD+HINEFZPEdgF2m6kn1JmeWkv1JAYS41tUVen33Lbu8i8YBKSO0+YIsoio87YDsHHRnmfG7OuKRnhomSpNVxxWzBTiDRoiGKfnrRQaFReJIl0+6L1zFWtCiyi8mLQRgvP7lSixbBovNbHZX7RjDiaMUYzCzkMS0S3HRaB0QECMzIQTXSfKXCvq2q0QC0Kzxy5AraOVRqImujqxhiK2h9byXro8TZ4SKngNN5ogb2q78sDzfMVbC2MttAxl0cWe/1nADi6MKzSvXLor28Dgc1iOWp3qe1NFPMFgEVZYSRL/9kwW02kMwv6sjZyTDffkUxFTUp+cMd2cn+c4IGJo4xe6mnkrpPpJ4Mk7ZWFjETCLdNBXyQZtGLQth0tGRhX5v0NQM6RLMu+Ap9vUNr3OQNQlS1ay4ALkjXXtCK6XR1zKW3pGdVwq22a7gy/oUj0TOtu4wGEt771rXj1q1+NSy+9FKeddtoEEbOegd+aB0XPfe5z8bKXvQzPe97zcMcdd+Dcc8/FKaecgg9/+MO444478IY3vGHNncjIyMjIyMiYjvsq++xQxvnnnw8A+KVf+qXoe1dmxJfKWgPWPCi66aab8KhHPQoA8Fd/9Vc49dRT8eUvfxlXXXUVXvGKVzxgBkWMKzChwAuF4aDGoLIsCFfQmvksrJGQGPesb03Lo8KUuuYkZQHGZZV4XSz1Bcp7bZRUA+PDhNfByQHQbLIeQQWgegqwEc/c5hUcs2CEQqO2xA9/uBV82brN9gG9XPh5cVkBgrI/ZdAQFYs2W85n1pHjVwBvGKSdV1eSQQv4497Uq7G1b1I6FsoVDETjdS9GK8C9NuL2aqtnilolMJYFFrnRU7jsGOog3bPanKGosUmMvMZHEM+VWhexXw9royhXIGgDUidpYfchbUZMiZDdJZjymWYAPNPjNpdEZzPSpfEist4qC3yMeT5GI4wb8R418P4ownrG0LYl4iyycP4UxkRbRR2/DdsTaxjGqiTnQfpou8fbKKPMMVhN4i+Uni8g+Cs11jZ/kWTzlUyigYA7OFcMtrL9apWAcve8mmSOaPaWYyjMcZjrNPI11ELfC65QMIW+XbcnWu+k7dptS3NcW6rKszgOBTlvgmkMeGiHQ2GTZeNK3kb+TFSvNVYFxjpEoo4xojosx5YOeR1dpz4zLJFjXMaq9OxoWoNOMA0BZ8ccNHqA0TT+pF3AXvX/s/fu8ZYU5bnwU1XdvdZe+zIzMAMIygDiJYgeFIjBK3gD4wnekki8RORiFPgUUTEkKoIoKkSIJgiK95PjMTFojIeoGEmUqEflEnOCEi8gKIPADHPZe+21uruqvj+q3qq3eq292XuzGQZOP7/fwFqru6urqy+736ee93mdfm6H6aLv7ZmnlWNr6RrtyRK1UoHpcvela7Y0GWaryCL1MjfWE565zdl45Y1su6ZzNmcfog+XZ9Pg/ZHIFVya5F6sPfNJn0PtNGlQaYXaL9NCptmRWSziW2uJulIwZDfliwFLz+a7bDTfr47zWpvo+PNUlO5a8v0rNdPnWQFtZJK1aK0IdfjmhzlqraBF6oF2v+IhxvTcV1x99dWr3uayX4qqqgoVdb/xjW/g2GOPBeDm9jZt2rS6vWvRokWLFi1atBiDZz7zmave5rJfih73uMfh0ksvxQte8AJcddVVePe73w0AuP3227H77ruvegcfKExMlVA9gUxpTOQ1JnwNo0Jp1EYi8860mYwVtmutkoweqvRM4BkVmdIYrskx3N1FnnZ7DhgBSdogZUPNHUxoyFxjcspFiwfsthn7TTo33F/Nr8OmYg3gPVDyTQXqaRMZp0kT5vd14eqi0TJTAMOC1TvLYk2getLCTGrIrmcolKsRtWbC1WBaUwwwU7jPM9kAa7L5yLbAoLSKZXvpoLvo1zm6qkqice7mnAsddEZrVD/1NGKRt4EErPMCIpDbL/WBdlGIOjA1gK96Dzm2pprymXE66FoydGWFwi/n7I6xEgPk6Hsr5cJqdEWNaTkI7UZ2JvO6pngMA8Y6SJjAXCmYJOuO99MwTyfXrvNmytkYNZ2oY1+s01yNSZZpao1I7xQic2lAG0oYSGtDhpnLcGL6HhUrx9dWYa6OOq9MGBRsfzmrxZZJ5xlU+GtZwo5kPNF2PVWhI6pwrfCMQdJ9VQ1vJa4zIp0WeWTRmNE1S1qtkmUpVlZhaPLElbx5DU37GmUSJrKMrD1qq2xkPyqYcI3Rd8CdP6eyi35cu2ez2O4zzIYmxz3GsbDTyvU/F5FpA4C+cOM/r/OQfUZO4kELRLpC/30yG4ZsSW1torMiax8NFcYhZGxRe0HHZlHIGhnzyuLXmrECtYr6I8pAK7XCQGaoVOr6zqd/wjnSCrUyITPWwjveN+rZAU4/lEsTnud7TMxhTT4fzumOuou+v14zYRK2kdoa+Gf/XFFgvsyhMcTOwGpOnz1Uss/uDyz7pej9738/XvziF+OCCy7Aq1/96pAK9+UvfzlMq7Vo0aJFixYtVhGrKLR+qGSf3R9Y9kvRkUceibvvvhvbt2/HunXrwu+vfe1r0ev1VrVzDyQ2TO1ANlkikwZdn/kCOA2Em4930cScKIKT7kA0NBMd55jLQfoBJQ0GnRyb4aK8SlkIr1cCXDv0Ocs1ukWFvaZdBsqjpu/CHrnTFM3pDianhtixzfXHZiI4sQaQ6e9QOK8jkjj5IKyepO8WesLrmGZqFL0SmWfBukWNibzCGs8O7dbpYyZzn6fUEBI2ZLKQpoEiX4qeAYQ6VwTSE5GOaE02jzXKaZV6cphocICo41DC1Q4jtqWymdPT+Gh2Wg1CJC5hMCmHia+Oa2M084szO4DLIJPWIBfk7BzZBu1rnw08UzSwtWeKovdQXLdCjuh+TUzMwGt2iCUCnKu2tDb0hWunImvhNWSwyFl2mmo8NXNEhs0w/QY/BtefeOwAzxojbUuZMBs5NFSjFhSxOpyxq61KPG3yhiZKsirpLhtJYdIfT0fWiZO3azf6U/XkMLCIXREzpwYmd1ljXDsFO+LsTTAQics5Z/P4taGthFEiXKtu/XiepDBB+0P9UCMMXGQg49jHa9rts45+VJAYWMlqh0nXD8Zg9JhztoLBpNe0KRi3D09A1Vah8uzjmtylMW+vOr7vNmmztirqucI4UZZY1GYBgBEm2DqH42Vu8SMZj0nNPRnYKwMRdFZ1JlHqLHleGCvC99rIUBctUwaljlolIUZ9qTrMj6pQGjO5eyY9rLsN02oQrp2+7mC7T/vlWj76XhuFec9kdlWNfpajtjuHKWqxc7Aig3JrLa699lpcdtll2LHD/aEuiuIh9VLUokWLFi1a7DoQq/SvxWJYNlP0y1/+EscccwxuvfVWDIdDPPe5z8X09DQ+8IEPYDAY4NJLL70/+rnTsWGij3yiRldV6MhY12tClRiaDHcKV5m3NLGSczernL+Mj5gLFbU0BPJKkbDYKiyqnq/OPiGCey9fD3BRz3RngP2nnI7ogO6dYdn6Yhb7rr0H/zV00UtdKuejMetOrdROOwR4h3fBavlIAassjPc/srkFOl670Csx0S1DPyaLEtPFMNERUaZKMxIEfETr37nXZztC1lAmCkww92sFg1xqTHk2aa3qB01OLuqRdgk84gYco8M1GZOsmr32+iFaPkCBXGh0yU2aZdI4p+tURwIT3aqpPep70icIlFCYhFt3mulciNEqfbuF0MF5NxwHnX4zymYQY0OsUdDk2Kh1AtIK5pwhov4Rs0LH1jTfDposYaCESZy0eY0tCKYf8d5dFFX31DA4jVdWYUZF7RRnygCX7RW1aKTvia7VnC3jY5ILl+lF56V57jnoGgm6MRiUgWmT4ZwQnEaqkckIhGuoy/bV1Gxx5FIn7Iu7Dv0yqwPzoq0Y8coyImprKpv5bD839jwDUiP6ZE2pAXKhMS3c/aNUyoR2ZYWBImbV+STt3pkNfb9jMBPO/4RMPYv6rG4bZTXy8SIQM0SMUdbMVPPb83GljL7KSMiMrj+3DbEytVWojMKsdwEvtQpu5AOdoZdjxMMqMF2NrMUJWWEmc0zZunwOu6m5cG30VQdblGfvjctwpfGrrMK2egJSRDfxQmpUVeqAf7+h9SnaKVj2S9Eb3/hGHHbYYfj3f//3RFj94he/GCeddNKqdq5FixYtWrRo0WIcnvjEJ46tdyaEQLfbxYEHHojjjz8eRx111JLbXPZL0TXXXIN/+7d/Q1EUye8bN27Er3/96+U2t8tit2IORSd1qAVSd2EgjZIyqVHqjLkLm2ROnWdeSGGCSy/gsrL6VRE9Zph3BgDs09uGjROOKdpdzWKHcdHKtBpgn9423DU9BQCYL3P054vgPG0GMmSbZbMSJrehQrTNHVNkcz8X39HIvNNrt1Ohk2n0fJbGdDHEVD7EpGeHMpY11JXOo4giZWOdWzMxNWvVHDb4iHSgc3RkHaNiqdGTZWCHOiKNUBdD4jxsUyfTgckj02SzhLnqihJdVcZaY1DQje2JyZCwqGwWfGG6rNaZkmaELaqshPY3aQGDHjEzhtgs+HYNCsFYCGjkVNUbBpXVgcHgNcioWF3MTpJe2+SZRZFWfFcwgWXIgaS+2cBmqEz6COA6q46skoxCYop6MktqyxHrQOe/I6sRtoZrsfh+JExgFeiYiM3KRZ0cJ19HwibsnWLXDK8D58aEvHeIoYh13LSVGNg83LN6jKIg9EvUvk9pdt/I/vzvimltDFtvpH3vSyQZKxYzJzWUsOFeksIm7F5PltjNa4gm5RCTcojdlWNBJm3pnzkmLOd94FqaXOiE9ZpQZXjmGQjc3F8fd5q5MazGHI+ECL5ddGwSBpnkLF+aVUnra5k6vFdWJf5llVVBx6ghQj3Foc8GI/ZZCpv4VGVCBy+snnTP9DWZ0y1OywHWqrlwvW43sX5iJVXCVpLGKPbfuH5UO8mnqGWKRnDMMcfgIx/5CB7/+Mfjt3/7t2GtxQ9/+EP86Ec/wvHHH48bb7wRz3nOc3DFFVfghS984ZLaXPZLkTFmrEvkr371K0xPTy+3uRYtWrRo0aLFvcGK+17l/iGWkn/33XfjzW9+M97xjnckv5933nn45S9/ia9//es4++yz8e53v/v+eyl67nOfi4svvhgf/ehHATiaanZ2FmeffTZ+93d/d7nN7bLYo9iObhFdhcO8vHdOXpe7SCN1G3ZVqMm/panp4L91ZI15Hdm2QuqEGeqqOqncvb6Yxd75VgDAtJoPUe9W3cNMPsCGnmNitqoJ1FpiwJyoKQCspwyssoDPGrI9DQhA+QyzrNDoFD5jrDtELy8xU7gIaiafR4e5Dzfde52jdNM5OfPLh0EztCafx9q8n2hLmsxQrBeGRIvQzPRxEbPXWljn6kznwrEn0e2a9uXaMeiyek5cp6Eb21C2D0XquaoxKTxrKMoRhkIh+lRpIZj/TQVpY3Tt2AoDyZyoC8TMxDk2JBpMkyGAnLErvF6ZG7vozyNhoYRBj/mo8KysnpWofNlxrmmh/jR9laIGRiZ6r2ZWUpcxRcQCNJkYzgDROoElaHwfBxrXZk0uDt7HXJgwvhylUFDWJGxPaVXSX+rzwGYj+qPmsTWZLYK2aTYcP2eOLTMJCxaOXfprW8SMSc725KLGjL+3emKIHJHx2U1W0JgPba2VfbZ/lylH/byrnkZH1ljnGZRcxrGbrbupR5gVmDd5YIrndRH8hYx1teDoOZH5rEFat6fKoFMDxuiwmHN708ndZZdSbTUV7knKXqN9ECvHdU+k8+zJEj05DL5WXVmhKyv0PJsICRhFrvlOz0XnN3hNKXq+u74M853oaL1KeKik5P/t3/4trr322pHfjzvuOBx66KH42Mc+hj/6oz/CBz/4wSW3ueyXoosuughHHXUUDjroIAwGA7z85S/HT3/6U6xfvx6f+9znlttcixYtWrRo0eJeYK37d1/beCih2+3iO9/5Dg488MDk9+985zvodp3ExBgTqnAsBct+Kdp7771xww034HOf+xyuu+46GGNw4okn4hWveAUmJibuvYEHCdZlc5jIMgxsjqYzrkLMSFiX9ZOK5QOTrl9bFaJ8Y0Uyt91XFWTloo85dHzGhHe8FtFbIxMa02qAtd6/J4fGHNxJrqzCbF0ElklJgyKvYXpunyV8LTQ4x2pM6MAUqUJDKROyVIq8Do7V6zrzmMqHmPZz+BOqCvPxgIskKQsnF3VgFgDSy0RPGSUMHl5sCcfdkVWoZj80eTJPz6uSU8QXl0V9DAWYks330zaEwNAJ8uGJER9nA3jUabz3UBEYp9S12LkL+2xDWaNgkTn1rfT/1zYyRblnpxQiU1RCIW9E4AHSeRu5dmSSqcShpA3ZSwTS2lAmF2eVNGTCXHKvHM7E0fZ8LDWiviNl7Sp3vpnrMl0bvNr8OHAmqgl+3IneBpEhWlDPAxv9uYRxHjdMsxWz9YRn7Rr7ZqwY/80xh+PZqSY71Bx77nCtwfRowrmz07EZxPNp/PmidgpUSVa1ZL5KhdCJr9fQCnRFZJwBoOuXl5DoigqbtdMi/sauwR7F9sBG31VPY0jsqNSYyaLvV20UJphrOYDgAl16V3/Kcutl7pkhwzjE6096TQ7XGAW9nmfEAqMjqhFWtuk2HTIKG/cDv6a7XicXmf/Su4nTGJVEPmPOdLBVZ6Hdpn6Q+qzFKAN5v6DVFI3g//v//j+87nWvw7XXXovDDz8cQgh8//vfx+WXX44/+7M/AwB87WtfwxOf+MQlt7nslyIAmJiYwAknnIATTjhhJZs/qKBgoXwxR8A9cCVkMBhcl82FG5mmLvqmk3wnSNgg1M6FRtdULA3XxIe5Bz34FRqlHaCwTTtPqDuGa7CtmgjW85U3ebNeaG2NALyQGrmF6moUvhhikdcolMZk4ctqdAZYW3iRZjYcob3dNBk9wOrkYZaLOjxYaBl/iO2ZbQMAbMh2QMJgi38Y79BdJ/gc88dTwgLcar8xBQFwwa77w0bGeu7FldLCs2RdAj3sRv6YsakNnsYNwJf8oBRdia6sY7FYVuKlCTqX/CWosKm41SCaTeZCs2kkm6zH/1AbiMT4Udv4x4O/vNN2/A/uaFtyZLqMG13G6UgkY0Ji2iK8JMd9khXByDRjeLlRyVTYuD92bkysf7mRybrJOLDjyqGDqN29BIlou9A4fifCF+x7fIEprRp5iWy+FPFpRW4Q2ZVVuDaosGwYB5u+EDZNHhdD06oiFklWrk3f7ICsQvz6a6VG7vvXtxpKDnGXdlMoHVlhT7UttNkVFXqZey4YK9CRFbbV7plD01X0/1zq8OJVaoWBzsJ9YODKeGRs+oqLuwGwwEEn106HGa4uZs8RxqFhHjvuBZ9eVPkL/LQcJM8yZX35EF90mp9D/mKbC2e5YHeW988qaooeKnj729+O/fffH3/1V3+Fz372swCAxzzmMfjYxz6Gl7/85QCA173udXj961+/5DZX9FL02c9+Fpdddhl+8Ytf4Lvf/S42btyIiy66CAcccMCSxUwtWrRo0aJFixb3Ba94xSvwile8YuR3ay2EEMuewVr2S9FHPvIRvPOd78Tpp5+O8847L2SirVu3DhdffPFD5qVoaHMIm/mij3USaXRllVj9c8paQ6Jr3LIdegID3wbgohWeRgxEceDuxSwqE631XfFJYjgs+rqDO6o1AFyE8p/9fQAAt8+vRWlUiNSsFai1gvbFaG0t4zTCRI1eb4h1k47lmsxLTGUlprzl/e5FPwiiKTLnZRXGsUN0/E1RblM4yiPAQkTjOunHM4irjUxYBQU+RRLZgMpH8CTadGU80jILIRIVFiVL723S4JwJaLJezakp6nPcVjBGz0A1ArFxxpYLgY8Rn05RzMrBWAEtIktSQUFaO7YNPqUFOJYrmYpLpmlEYM6S4xR8GkKH38dNh4VxsgBd5aW3Q+C0vYRZkMZvtsunzSqrknOnvQh+LJi55KDBCPJtmuwhjQ8Jqt10eCxDoa1ccGqm+XulFWOYZWIKOWr8yVivxnpp0VkNJfKEWaXj2Sp66Pm0fIDYMh1MQRUM1kjHYitbYkctsbl2jO3uahbTah531Y452jPfljAv9EwD3JS3thJrvAFiXxehlIsUBgOdozbRfBJAMLHtqQod4608VB0E1IBjp3hhZn4fNqdZ02fEqLidT3Nz5pGeazRmcZo8skvErE3KIbbqxas0aLvINbjKENb9u69tPJRw/vnn46yzzhr5XWuNV77ylSvSOS/7bH74wx/Gxz72Mfz5n/85siw+RA877DD8x3/8x7I70KJFixYtWrS4F9hV+vcQAs+EJ2itcdxxx+GGG25YUZvLZopuvvnmsaKlTqeDubm5FXViV0RlJZRVgNDIEUsHSFjsns2GiOauegYDHyn05BA56pA+OxD5iE6IR/zSl1IAnABSSxGis9zG4qaVVZg3BW7s7w3AFYHd1HcRnYFAIaNhn5LGZSmQhlNZwOuLZGYw2SmToq5r836wF1ij5hvpsinzkydi2sgU3Vv5Aw5tXRTe82ntJGqk4+YFOcnqf5yhXhO50JiW84Fp6IqyESkWob9UHDQyJmmEOSPnw7EMbIY502EMVYbKC3a5yDpubxN2iOtlkhRhQdoGEns32SqdtBGuG19KJMCOaniiAV49KuQWnKWRoXCnsWosazIOY8XGIgpoB+yccVFtPJ5023ECZRoHtQRmZVz/KqOSc6YtO98NS4GF2nDbqsCgETu5WGkPrgPUEDEBoDGWIyL2hj4qrMfT8xvbjdt2Wg0w7c0bO8JZIxBTtkEOw/WmrcWdeipovtaKOVQ2Q88/52bkPLi5aVeUMRnBM7RkGrlN9gLjLYXFvM7D8dZWOiNFf730dR7ZaM/sjmOfSfsTnjENKbwSJvltIYaR+s/HiOsSndYsh7ajNhA5dMJiD5ADFuEZOTTO9HMx64gW9y+uvPJKPOc5z8HatWvxh3/4h6iqCi972cvwk5/8BFdfffWK2lw2U7T//vuPfQP7p3/6Jxx00EEr6kSLFi1atGjRYhGQ0Pq+/oMzbzzooIPw13/91w/wQd03HHroofjiF7+Ik08+Gf/wD/+Al770pbjppptw9dVXY6+99lpRm8tmit761rfi1FNPxWAwgLUW3//+9/G5z30O559/Pi6//PIVdWJXRGUyKOOKdKYpnBV6Yhi0QZsxFTKpQqoyZX3ICtrECNrNkacFPHPFGQGTRNgGTiA2W3Vw53Aadw9cocJtg4kQqa/vzYX5e8AxRXmmUWYuerFWQOU+82OixHRnEIq67lbMYU02jzU+snSmkHEOv2mW2NQ6hDRhrzWKzBGxD6TpyGME7efzeTRcWpXqPWiRTdOwDYvwuqKCkiZkAU7KIabFIES+XLvl8qZs2Kcr6xB1I64ordsHRcjBiFDUGIgilFZwqdVeJyJEyMiidjiaLIIbRxuWLWY82GScFlyvUWCV6yUqZAAaZSmsjLYGWJgNakI32J8Rpsam2o4R6wCm2UjT59N2clFH7ReLwHkBV+pP0j/IqEvjxXz9MTpND9+mCNs1WZzmeeHlTMZlx43TrhBTFbOw0sw+gF8LZmTd0Bdm58G3o+9DkyVsXEdOJrYfXVlhfbYDALB3th0Po/7BYoueSjRPW+sJrPXsT1fUIR1+YDIoacL3bbqXPBPXqH5ivzGru6H0hhQmMamlsaHxBHgWmkkyWLkuiOs23Zib5PpoMnhgGYVNts/107VbWtfOAL54NH+WCpPsl9h9sPGudIHK7CSmaBVT8h8q5o0AcOSRR+Kzn/0sXvrSl+K3fuu38K//+q9Yv379vW+4AJb9UvSa17wGdV3jzDPPRL/fx8tf/nLss88++Mu//Escd9xxK+5IixYtWrRo0aLFYnjJS14y9vcNGzZg7dq1eO1rXxt+u+KKK5bd/rJeiuq6xt/8zd/g937v93DyySfj7rvvhjEGe+yxx7J3vKtj3hQwJse0SIt+dmWFrqicPw2AtarP9AcZhlYkJmKG6Rd45N+VFXKrk+hSWxkioyEzLZTCYrbq4K45x0j152PktbY7jyLTSSRZKI2hZ4qEAHoTTiew98x2rC3msUfHRY7r81lMqUFgVXj0x31+AF+OgUXxQJy31z67iOb4cz9m1ZjLS8FigGiWOLBFMsdvIFCRaZxnn2KEHbOPurLCWtUPy9bKvjOqs7EcC2lvSK+z3RfRpf2FqNSzTIQuM6bcqr0rKmNiCE6rEqPJQjh2pwjjIkZYhyZ7FEqCLMI4peuJUHA3jlnKdERGLPNZdwub3smmJmaMGSL1j2cjNTU6yTGO01jY6Evk1ommhnE7C2MlfMGFUGaB1uOZVk22hmeFGW+USGNPLAIVv+XFWSurEoPVxWAYSxj6zMavshJ1YKfECAPlmIaYiRqLndqkwG7z2IasyDS1Q6WEDNOqSWGRCYPCP5s6qsZ0Ngjj0Dc5Zq0b3S3aXRtkCLtN90auBSqLUgk37rysD/dgUzyr1g+PtjENeiYfML+ruA9jJUqbIbd0H8Z7PXpgjTfrVEIkTGBTN8R1bxUrzzKOseOlPMZlJtKzaofpojIZ04kJ9E2BodlZPkVozRsBrFmzZuzvRx999Kq0v6yXoizL8PrXvx4//vGPAeA+UVQtWrRo0aJFiyWifSkCAHzyk5+8X9tf9vTZk5/8ZFx//fXYuHHj/dGfXQZDkwEmQy5y9GQWIoiByVFJFVxPuyL682zRU40sG4OO5K7VMZtGwiTRorYCStoQlUDG6KgnSxRKw/iIpJzPkXVcNLh90AW6jEnwc+JF7kuEdA32nHLM0Ew+xF7d7dij2A4AmJYD7y8UyzfEiG7UOwUietXQnD/g9B4VstCOsgYDm43VrlTeLXhgHdtFOg0O7prdlRXTdGSQTNu1m5zFpNc5KFh0hUYeSo0AOyxl+uXg7lCU1ULs0Iwcoud9nowF8oaDdGkV00ws/FSRwvryHXzcmtoXMbINgMBwNX93xy1HMmbCMu8IHaPfWI6j8mdrXJkatyZn/Swk9HiWB4BEFnQXsPDZZv4YG+7S1dhMtoazteXLFtY1RX2Qi9AT9qfJxDRYVx7R8/IxLossanJqo0JB09AWK3DaZGmkSMeN0HRyvjcEvYzSC+rHHNssgm6w9oVOw36sgPWfhbDIpAmeZd2shrYiFHnVEPhV7da9U0/BgBVQZkxQEwoWlc3CdbNnvg07dJdlOWqUwv8paRxGLjTW5XOhZAgHZefxc8xZ0oJVEnDrs3PO9mMg06LOjMWkYyOtIZUA4boz3rdmIVmu9eL6Lep/aTKU9c7xKWqxc7Dsl6JTTjkFb37zm/GrX/0Khx56KCYnJ5PlT3jCE1atcy1atGjRokULtGU+PJ70pCfhn//5n7Fu3bolrf+0pz0Nn//857HPPvssaf1lvxS97GUvAwC84Q1vCL8JIYKlNjlcP9hRBqbIedHwyG/OdIKZAa+TpCEApiEiZqiZ0QWM6kZy6Yt3+iwoYwSM9zuaygZ4+MQ9+HXh5lJ3SIuicPsotcJc2QnRjLVOR9T1TFEvL9HLXAS4rpjDuqwfskic71D0QeHRVWkBMBdoV9yU6UpELORI21E0VplR9odgIJ3vT6IlSR2suRdSM1uJe/AAwFrGDA0tZ1BGGRpebHJSlJgOxSYN1sgYkVbWoAoZRTFrCqxvvD/ce8qM0RG5/buIM7AD0MiFCfqjccQCZ5wWqn2mGCvEv/M+NxGYuEV8XoBR5+pQYwuj7E7KKjK9h79mmt4+Tb1P+Mw0T5ztIUanCgyOr+Nm47bklUO/c6+cUmeBDcpYPb3apMxAaVTy2wgbxXVBsBCM4bGsHRHuGzmy3cj3yl1HVNS5yRo1mSFtZWCEjRVpxpSMhaRrK9FTJdZ4pmir6eGn3rG6J4foySF2aKf9WcxrZ2DzJEO0K8pQRBrACPPCxywXGj1Zxuu0sdxYGdlxIHi8FUJjIPIFHcN5BiS1yfvAa5QNbBb0ZEOTQUMm9duMTfVfTZaPsuWA1CeKdF3lTso+ax2tHW644Qb8+7//O3bbbbclrz8cDu99RY8VmTe2aNGiRYsWLXYiWk1RwLOf/WxYu7SDEWJ57NiyX4oeDFqiSy65BBdccAE2bdqExz3ucbj44ovx9Kc/fVltzOsMWudQsJjV3cAydEQFmE5Yr2AZWrlnNpoOrQtVem5mp3BnYl4vrCtq7NPZiodNOS3Qltke1vScHkYbCW2ipkMJg1xprO0476FMGkxl7i15KiuTSuNc80OgiJEyMohNkDAYmOiWXFoVsq6o7lnTM4d7yvDIjfsCKZhkWdOxVzM/IeoH9W9g8+gmLgykACofUZeQwcm3tE53o5geaVqWyP156QmBruAZcBZ9E3VW3PPIOW7H88kdo8tx45lEugIlZQ0JAaAOfZICyAM7BQwa2gaKtEuW8QNEV22u2Ahj1NAbNdkgV5+OHLcNxmXe0EOUa2ccoxOvudJmrh5Wor2hTDWX9bWQ3mdoshC1GyuSTLDSZCi9301pVGBxAMfw2MZUAPf8amq5KuaqDDSd5W1yfDVjYrQZ9VyidelZS20JYQPT2/zjQ95C1G6z73zbTJiEgeLg+iH3gwD9bdBWJuNiPMNN1+BPh3uFa3mt6mNzHR2tJ73DfGCGITDnl83ZYuRZ5ero+WOwWWi3j2Jk7PumSNzuCcQYyvCckDCCWGeX0brQtSvZc2Ng80Sb1NedRDfGlxHbSNcc6cnGOa/T8iZz1Mz222k+RS0ArIyYefjDH77kdZf9UvTlL3957O9CCHS7XRx44IHYf//9l9vsquHzn/88Tj/9dFxyySV46lOfissuuwzPf/7zceONN2Lfffd9wPrVokWLFi1a7Ao4/PDDoZTCqaeeilNPPfWB7s6ycH8TM8t+KXrRi14UNEQcXFf0tKc9DV/60peWLIRaTXzwgx/EiSeeiJNOOgmAKxj3ta99DR/5yEdw/vnnL7kd46OHockwq7uh3o0UFoWow3z2WjWX1GdK3K9lha4ok3YXqtnk3FxjtkXfFCGKy4UGrEK/dt/X9Oax16TLKLtnMOHcY32QnCmDmc4g6Ce6skYuI9ujrUTfFP5YMu9cOwz95fonIHWSVcKOZIMAxBqNeouEaFlIAGn1a2KgqPo5dyzmkbmGDNGrYdGhgUTfdrDVs3ZKOuZsQNXNmU9NU28jhcXAqsDcdYUK0aoZoxlqMkXcj6kJ7kquEJkYBe2z9+J9U0Ihp8xEGChBbQCVtdCBDQDAPKvGZUCFsYfFAMS8yNT51/rxDZqdPHW75llk1mtzmAfXnB/rvilcxmFge/JEK+K8pvwym2Oo47koTYbKsz70fVBHNqg2MmyrjQxV1mstUWsFrWUYEmtFYEwEABn0eI7LCcyLcswLZ3aCRqfhMWO9foceb+N0QtSOtelyKaMLuZQGQqQsUrM9Dn5OM2lG2Kckw0yYoEGzY/RHmrJU6wyFrLGpXBuW79+9C4DLot2me6FOWhOcXdmhJxK2lvadZJDSdeI1OwTSlHW8y3Zu68R53FgZMkMVTMjq5XUWx2Fo80SvxbPIDOh7liynz7VVQQ9Etdli9mHK9jb1XPy+y6RBDTmSuXh/QWAVNEX+/w8lR+vVxrLP5lVXXYXDDz8cV111FbZt24Zt27bhqquuwm//9m/jK1/5Cr71rW9h8+bNeMtb3nJ/9HdRlGWJa6+9Fs973vOS35/3vOfhO9/5zththsMhtm/fnvxr0aJFixYtWvy/h2UzRW984xvx0Y9+FE95ylPCb89+9rPR7Xbx2te+Fv/5n/+Jiy++GCeccMKqdnQpuPvuu6G1xp577pn8vueee+KOO+4Yu83555+Pc845Z+R3KUyYX66MRF+7KDkX2tVD874yvLI0aW54pWc39x6zsxaqlk3VomMUlYV9TqsBKqtClDJRVFhbuIySfu0qNZOeYjr3KnsWkBLzMjSZ99Lx0ZikY/HZclYHVoQcu7keijvD0vHROhIGzUwRrrcKdZ4a1a2pr7x+lBbMKdlG9sbVLKOozbli7xBd3xeLnqwSHRFnuVw064/FypFaSnEfGpW1QZuUC4O1aj7REdBxNv1/3PFFJ2ApLLqhbhvQhUYpYnQ7si07aR3BvIcEgieQhoBiPkrO66V5TfnjRD3i8utcrtM6UBwxk1ImWrDKqsBckn6IMnooKm/qNgCgtgrzOsdAu237dY5Sq8AGlXUW2KCqVtBGwBjGBnnWQ2vpPhODYwQgmLZGAELauAyAt+TBUFjH4viMKeVZHD5WBNp/IDkb48O1PkKkbJExMXNJelbBLMAUceaK+hHXYe34bYjtVdKEbFIA2FF2oCWlwhrwOLcyEhOqCudl385mTHtG9a56Gp2GR1ku6vCsGKAI9/qc6bhnjIjPvMqmNeb4Z87EdGSd6HToWUbt8muwshmkjZl9jrmOtSIrxk5yB3PA3f+xAoDT/QVNEVR45lRQkJbVFVwC88KzAiXsTmOGRtCm5O8ULPvs/vznPx9Lu83MzOAXv/gFAOBRj3oU7r777vveuxWiqTanab1xOOusswLjtW3bNtx22207o4stWrRo0aLF0mFX6V+LRbFspujQQw/FW9/6VnzmM5/Bhg0bAAB33XUXzjzzTBx++OEAgJ/+9KfLUnuvFtavXw+l1AgrdOedd46wR4ROp4NOpzPyO1W7zyRFR2ll51D3q+lYzDIoAO3rY42+kBGTwd2utZVBt8HnxJUo0NcFuip6E5GehaLGzH/PpAl6DaBRJ8lnNCnWncTXRkQ9jITEpBzGumjQMILrUUZraHH2hetTDATTXdkk64kywzRrB5whgcScGWU0OqKCFCboGraaNOrn/lC51agQmQ5lDXJh0PVs38Bq9MNn6zNv3Nh3RY0CBgOvNegKHXVL/hibmTHkqm2sCFTDGunqNWlLmWEWFXtA5QLIGy/uUY8kor4IFgrR72hgDYYwCXMU3LGF63+4dpF6yvB6ZqVVwRkYbL2oxWj4wJioI6EMspKYI5bpVZoM/ToPerhBnYeMScBdy7Vnioxx+g0aBQEAMjKM/vDd/7yeiNghriniWiMAUDJmmrnvJtEHKcnqkIl0Xf4bbUf3GtUdW0gnJATTGHmGwY7Rp4jGvpv+R3xZV9UJU1Q29TCGsWDWYkoN0VNR10jnbGBzrJX9hlt3vJYrG33HRurMIc0+bGYtDnUWHeCZrs61G7VnuXDMNHe0Jr0jebRNq9gOeC1GIVP2R1hIS6ysTDIRhybD0B8LjGs7Dw72AkZIZIjntDYLs7m81lwmDTJhYBfxeGqxc1CWJe68806YRibgSpKrls0UffzjH8fNN9+Mhz/84TjwwAPxqEc9Cg9/+MNxyy234PLLLwcAzM7O4h3veMeyO3NfURQFDj30UFx11VXJ71dddVUy3deiRYsWLVo8qNAyRSP46U9/iqc//emYmJjAxo0bsf/++2P//ffHfvvtt+Is+GUzRY95zGPw4x//GF/72tfwX//1X7DW4rGPfSye+9znQvq57Re96EUr6sxq4IwzzsCrXvUqHHbYYTjiiCPw0Y9+FLfeeite97rXLaudgcmhde4ye6QN1a+HJkcly9RlmbE9iR8LRj1Okn3YtOZO33aS7SmaGZgcs7oTahrNFMPAYE1lQ/SyMjAHtZWQOo+ZLMKEdQEXcZLzb1dW3tnWRZJcF0QsFkV5jgXS0YumwTZxrQ25N4cq9Y2MDm0lwFy0S6vGeiaF9v2xVDZ6OTUrqgMF+qZmx9JgjaCDlmZgc+RGh5BgoHXsq5Uug8ufm7VyHgNEZk4KJFoLrldwTJsIuqYZlnnYExk6IsPQZ+FVMFANZqgK7KP1XWPXAv8sJHKQP5PbbmjJP8qAEqo0NIwFSopkjdckyVizjuqZKUjApplqTstEbN8omj5KSS21kEmlIUUWdU5SI5c6sBtFphN3Zr5tc19cd0Ofx9Uho99JC7JYu4C7RwoVdWBZI/LnmpiF6p6N9HeMt01TT7gUuGypuF2zb4XUqD2DLIVFpVVgo5RybOm6bC4sD0xMo3ZchQzNCvJNN2+u50m+s2dhLjRmsvnAzEivf+PaofiMic7/gGNpqX9900mq1/dk6X3BvNZRmhF9I7VHvlm5f85VVjEWydUvq1j2WcmYTWOZl5jPPEt8iTw7FCCx87LPbOto3cTxxx+PLMvwla98BQ972MOWbdQ4Dst+KQKcZueYY47BkUceiU6nsyodWS287GUvw+bNm3Huuedi06ZNOPjgg3HllVc+KEwnW7Ro0aJFixZLww033IBrr70Wj33sY1etzWW/FBlj8J73vAeXXnopfvOb3+C//uu/cMABB+Ad73gH9ttvP5x44omr1rmV4pRTTsEpp5xyn9rYPOghUx0M8hw9VaJjUudq0tr05DBxduYZWE13VGNTd2Ygsg47TBcDWwRNB9UlA4BZU2BeF6xdGxicyWyI2qqwbmUlCqmTqu4TXuMyoUr0ZKyFNC0HmJTDsC7XBHVFiS6LzGi/CQMTGLKGt491XjmxbliaLaWhkqiTHGndctnQWTE2QqSuyxquHhthq+mFSLcr6zBGuTDQNq0A37dFUtOImKE500HR2G9Pluy7DplVFZw+IrIraUZMKSSmQfXhLAxsZIeCAzlptBp+M0DIlnPgrIxA7h246f9VyIbUMKEemnF+RyAnb4OerUL/B9x7yHacvov1Q1uRRN+JpkiqkH3m+ivCtTuvY5alux5r9DKqUj7qHFxzDRzTS3E/IfouA2NnF2RqpLDIpV5wOWdOHcsZHdZDG1i4DhnfT7O+HJ1/4yu1a8ZANGvA8Taplltox29XG4XS1+eifVKNvbitz7LSCsM6rjtZlBjaPHHKp3PEswmp34oxhS4TNmWCIhM8Cs6CSWEx4VnSnhp6lkeHNhars0btDEyOPorAuk7LAdaoPrrBL86AnogGMtxP8XgiM2esSGqdzes86N9KozDQWeKUTs+F6FmVelU1tWB1f+l1te4TVmP66yHGFB100EGrntS17Jei8847D5/+9KfxgQ98ACeffHL4/fGPfzwuuuiiXeKlaDVw2z1roYZd9LolJvIKawqXyjrsZJBdE8wcUSMxPyyY6RgXrgKNgoYkUqUiqjpLKGYpeNkMEQoXAimFvjafT5Z1Gn90OrJuTJeVmPT9nVbz6IoqSZ0n5GL00ddM/W4+3IK4FgqlVeGFj5sA0ktEQt2zAo4JJR6mzeIf42DyaFyKMD0kK6swYH+gdsNsMDEk0IsstcdfhPr+5aDZv4EtMC3nw7aF0Nhuusn2QcANg4HgU6J9FKrv19HQXiQNuCmwyhoY/xKiYTGwJCoVI9NnpaVpTIFcSMhE5C7RESReVUHM3YFFhfiS1BMWQ2tQ0gsUakz645qzQwy4IZ4/Z/GPaLRjoNRordJpLzqHfVWk7TCRNr0s8JeOMHXhXyIS+4NQWFWEzxz85XXcdm58TPIC45b7z174H4XBdiSYGWddQOsmfWE2Bc6iANDgQnXZeHkwYV1KggCioWD8nC4zVqAiGwOjgvnloMxR1SqxMbitvy5Mn61R/Vi02SrM6m7oA5nOUrmPNM0+vY+a48N/I8uSZrvTcj60xV+8knHWcZ9UuLXvg0GTSV9gmwKdOnmm8Jc8MnIMbdk8BJVzukCpsyD8L43CUGdhPJ3w378gaeXsEZhFhAAr9mskjBYw/cHIeNwvaF+KRvD+978fZ555Jt773vfi8Y9/PPI8T5avxKBy2S9Fn/nMZ/DRj34Uz372sxOdzhOe8AT85Cc/WXYHWrRo0aJFixaLo9UUjeI5z3kOAOeVyEE2PFqP4zUXx7Jfin7961/jwAMPHPndGIOqqsZs8eDE4M5JyIku5rtdqIkas1OOSRjotLhlX3UCW7FG9bFW9aPpo0/H59EuF2jzAqskMIxlFVQSoeZSJ+LVCZ9mO60GyEWeFD+UIhqZ5UKjp3yxR9jIcMFT1QKBfWkaK5ZWMQNBk6Sf85T7QuiQ0k3L3JRYZH8GwYJ/VJTYZI0IVHw1lj5Jzd44xU+MQ4hqM6BHUa8XQ9NYd0WNgc1Cn7bpHrbqntuH7iRTOLl04u1gTSB0TFVu2P43sUNNhHVn5ADTssS0n7rpwrE9qjEt5sbLYlqqwPDwqTUNi8qaMLWmIJBBQYnRcXVjGPchrZu+ywMDaYPNQ89qDGxakmZgM1QypnDHSNxd1wnz6adBAaDDzhMX39N646aV3ToilH4gRAPVLLBOcTuRCP5Hp3nSZIhY7qbB8DDRsREGsCrslwuS+XUBAMPmdxNTyue1YydqNoXTPC76XltXzmTgi9/2qwJlHZkgaxFsC2qdFsI1WsB4ZsNUCrYSEJW3Wcg6+Ik02Ku7DQCQd3TCzvR1EcYE0l3b4VkwMi3ImUm3vFlUF3AC6MpmCVM0KYfhGTmJONVEJX9iar+AFJNheW0VtleOla2sSp5d/N4f2Dxhhir/vKEps7m6gx21e37PVh306xwDYopqN+U4rLxpaS1hSfivBawWiDVVABgBS4/EWgK1gJnfdTS1/6/h6quvXvU2l/1S9LjHPQ7f/va3R4TLf/d3f4cnPvGJq9axFi1atGjRooVH62g9gmc+85mr3uayX4rOPvtsvOpVr8Kvf/1rGGNwxRVX4KabbsJnPvMZfOUrX1n1Dj5QKO5WUF0FkynoyQxb591Qzc/k2DHsYvuki2Cm8iGmMxf97FbM4eHFFpY27lJiFWNfKCpSYlRw2LStpyhUCYtC1ugqJpj2TFEU+voUbVkGi3xCKFArqsTUEEiZmcqqUGJD+fT8IMa0qTYIiKn2fevYJmKBBiZPmKNBEsW5KLIZzfPINGp0nL6DGwjqRIyasc8kNo2lJ6bVwB9/HYr10thXNgvGjyUrqTKrR9movuwkGpRYgsGGtF/qLxd4btMT2KHcdTKtBugKpueSA0yKCht8KnhHyIRD61udsEg0OgpOn0QCbWmFi9opDbuRCaqtTX6TECGdnwv2FSy6QkN74kMJQFuNIZV9sFWwLRiYDBVSJrO0WSgX0xUV05PJRIyeCNM9FhLdA8wSQBgnpmXtAOMLLI/VAAkZBnHcNnXoQxQwN/ugmXEfENlJYiQGrJzJQGeYr1wxXMDpT3j5Dg5tJLSWGAzdtnWpYKnwra9VIrT//0BCDgWk/11qAIU/h7WArAC69U0BbLMz+K+ZPQAAu+dz6DDjx8qqhBl2Ym+iQWTynJBIvxeijs8nyTSCAgDKmDovbHLdN60y+PWghA2WGkZJVHUsFzNXdzDMo4BfChMKwFZWoa+Lhpi6SM4FpdnPVzn6VYH50pesqTLUQwVTqTDeovbHUgvwS1V4poiGQfjlZrCTyn6soqbo8MMPh1IKp556Kk499dT72rMHFFu3bsXHP/5x/PjHP4YQAgcddBBOOOEErFmzZkXtLfts/t7v/R4+//nP48orr4QQAu985zvx4x//GP/4j/+I5z73uSvqRIsWLVq0aNFi5+AHP/gBbrzxxgf9C9EPf/hDPPKRj8RFF12ELVu24O6778YHP/hBPPKRj8R11123ojZX5FN09NFH4+ijj17RDh8syHcAqgRMBxBGQvs56OFQ4a7JHLMDxzJMdkrMdB0jsWOig1xo7OazPXJRu0KULBuNIkWFlHXgKfiAK8mQ9EdozGRuPzPZfPh9u57AhIxaEMqmIUbFWBmMy3KhkSNmx2lIgLMtkBhY2l+9oAaCrx8+WxEy6XipCOoD7w/GRPI8+yekc0NA2TQbiEervN2mFmVgM+zwWWKka2hqSbhRXEhx9saTQe/hGZGQCWeYUZ00mMIgtDsco3nhhYRzWaPrI2inP5vDdrMDALCH6qPny1HssAqwwO4+TXyHARCOE8iFRd44lqgbimyRxCjrwX/nKf+5EIBFUgImFzEDsIcalWeCKlFiYFVIlyZ9GTGHSZagz2Cja6Fps+Ay0SgDLwVnfKisTDiHwqCyeXJsvCAtZxSJcVyI8amtYgyRDBleoY9M+1Ob9PwOWOYSzwTTxjE/lWcgTC1htQzMT3DY9BClgPRaIGE8AwRAGMdGeNITauCYICIohXbrADErnRJeTQ7orsJvZqdd/9alVhgcxkpoIcLzIEft2LUwhibJUqWsMlpGLKKBRFdUCVPkTBdpXZvcs1Tole+H2udjXwG4u5oKTBIQM3eHOsOsLtCvo+6zX+eY989sbWTIKCu1wqDMUZf+PFUStpIQpWegKhFYOVnBMUNEnlkAJoqV3dgDeidl5LdC61G86U1vwrHHHouPfexjyDJ3Tuu6xkknnYTTTz8d3/rWt5bd5opeilq0aNGiRYsWOxFtSv4IfvjDHyYvRACQZRnOPPNMHHbYYStqc0kvRevWrVuya/WWLVtW1JFdDfRWLjSQzQNq6KPreYV6XqI/543qpirMTTrGoTIK+0xsw8BGrw8A6LGgjEdoEjbRGOXQidcG6VWmMEAlYgHOnipD25lITQkNBCqW1ZYLHebeu6KCESwDzhpoqGDaqBALwu7QMXMKiJb8nG3h+gjOBlS+yCuhqfFwpov3fncaK6FYlokbP8pqangY+aKkFdOyEDIf1fIsPOoztRE8TXwxyyqwAwrSZInhH0Fa6z1SiHmRyRhyE8NMuj6QZ9QO3cXdchp3KeejsSXfhg1qu+tX8D+KISj3iHKmmpFZ41CwYVku6DdijlLNkbY2yTHSsEFTVAiRZK4BCOyUEUDH1uhRQU4rfOZY1PkMqDgsFHJRJ5mICqMmps1jAJzhJbEKrohwhGlsTwyf278rgtw0Q+Rmftz8sLlubSIjxAuEkp8NlSXRVkAbidKzQdpI6JoylyRMqQDPQEALQAuEOqWMgYDxDAV9Z4yAMI6x8MmPkNr9o3WlRtC4WJYoRd+zWYHNm9w1lu+rw9jumW/DrcPdg1GhlI6hHdpoCsqzvRJTWlivlYy/EaOooBNmV1sBCRnKyaTZrVmSpdp8hgxNFrL3JmUNxcqU1CYWzJ7TBWarDmYrz/xWBUqtUPqMsrJW8bzU0mXpkVarkpB1ZIdEzca2bGiKtD83MSHXfR+1eWuxkzAzM4Nbb711xNH6tttuw/T09IraXNJL0cUXXxw+b968Geeddx6OPvpoHHHEEQCA7373u/ja1772gBSBbdGiRYsWLR7yWIXps4caU/Syl70MJ554Ii688EI85SlPgRAC11xzDd761rfij/7oj1bU5pJeil796leHzy996Utx7rnn4rTTTgu/veENb8Bf/dVf4Rvf+Abe9KY3ragjuxqsd46XFYAqzte76EBAa4oWcwz8lbot05itC8wor6cQJjglA2nJAG0lml4gShgom/5G6+ZSY42MWiJiNrqySrx8nLZGjDAlANCRFabFIMzXRxv/6KPEdUGcKRoid+UQwlw/i8IhMTR51AoY0pNQCQuJERfbBtPBdUS0vfKZZ7wAZdieij36dSlrjPs1zfvskyYTkAmDyWw4ok9y20nkYOfK/48chisrQ1RcG6c14hqZjqxDJpMbm5glZphGg8piaDhflh2mi+0ZebJkyEWNPTLHHO2m+iGaJg+ovKHAIbZPCovCxs98jHNhoew4pyjqUwQ5aI9bVwLoCgGQf5JwpV2CHxdMKF6sITBndGQKhHcvN7SfWPjYFayVQU+Xg+migu6IxtPdP8QfNQsvS8pWgztn/BqoWQFQ13Zkg0qjXKkH8gWyMngEVV6bwj2DdC2DT5A15GsDQDsPGxAjUQv3B40YCXb6wmPBxu+BjaD1IrkLI512DEjZIVlbWCVC9pmwblG9xV073/jNY/DHj/geAGA3NYu+6WBLPenHSCXPHp4xSvoh6c83ZZKlY+0POzA9WbIssL0yLSg7MHl45lAhV8B5KFWsfNFkNoSEwfba+YkZiHB/z1YdbBt2g/fQoM5QViqep1LB1JGxs7WE4OdFs4wyQ4Max5W/SPBzQy8pO02n006fjeDCCy+EEAJ//Md/jLr2BYbzHK9//evxvve9b0VtLjv77Gtf+xqOOeaYkd+PPvpofOMb31hRJ1q0aNGiRYsWLZaDoijwl3/5l7jnnntwww034Prrr8eWLVtw0UUXodPp3HsDY7BsofXuu++OL37xi3jrW9+a/P6lL30Ju++++4o6scvDALIxjwzpI9iOCB4XwzLHtmoCG4pZ991k3onasyTQic+G01tEPc8O3R1xCQYcY9KRFXPK5gVgFXJZJR4dtYn+HtxBuCsrbMh2BIaqgovU5hAvnuEYnQ1A2XFirGeQsS7DiLM0VM+JQJqcjkwn4EmDw+tfSa5faBQFpeExPuOG64J41tG8zrG9mnDr1M4NmdoppMZs3Qk15KQwgQmS3hOq452etRUJA0XeJwCwe2c2ORZjXfTKGUE6Xoq2ud8RwFg1IbFFTwHw2q+Gn820dOlHm/WkO2+I9da4zquARumLxMI23IatQS5M4k0UxxkNWJTWJtloBAWRZK4pWIAzR4gaEwmBGTkMLERgH/15lDZ6VuWqhjImZi8KphMSMslcrJAWhc2hAxMnrXWak0aGFZ3jUU2RDD42pVbeRZp8rxSG3l3a+Bpklf+ua+myyiiTzIiQVWa1cFlhC0XmIjIOVgCpYIqRFdJnOdF34c4VNWtsPHd0THTbCuO2zXe433991zrs2NvdE9NygMd0N+HGwd4A3H3P9Y5Dk4XrRgvpzpfvr4KBFjJmmIEXca79s4GYdOZ9BF8vzO+ntApDm4eixNvqXniOzeoOaqMwoaKuaWvVw5yvYVayygIDnaEyCiUxerWCMey8AKPngUyqlfUMDFvXePY6ExCCsXWNe0Ho0U3vV7RM0YLo9Xp4/OMfvyptLful6JxzzsGJJ56If/mXfwmaou9973v46le/issvv3xVOtWiRYsWLVq0iGhT8h1e8pKX4FOf+hRmZmbwkpe8ZNF1r7jiimW3v+yXouOPPx6/9Vu/hQ996EO44oorYK3FQQcdhH/7t3/Dk5/85GV3YFcHRVthvh9OZ0TRmO4K1N5fRGuJjDlV58L5EAX2RTDmBS4ThOIgY51WhDNJxPA4/YRNvD4qf+rmTZEwGbVRmDeRzdBWBG3FtnoCW7Me1vrK7XOmg1ndjesyPQ+1SXoPYqd4tXOKBoc+8ytW8na+LyEyhwisTC510Di5dmSyrcvSMuFzymaYoJXKfPZLYJisSKqQ1yxypOUho8gK1Db643A2qrbuHGaeGiykRldVgSHiHjZDk2F3MYfcpxRRRW9eEyoXkSHjWYKklaLfjK/s7Rpw18dW7fQeu6l+1GpAYc50Ej+XQtRMQ6aTLCyAuX1DorI29K+AHtFOEdz1ZlGNeYhG5246L6PraMbESGHRRer8XYJq87FadzDoigoDGXVtXG9iEP23clknIijD2CsJAdPIlh3nJA0gsERD7y9UGeUyzOh6YBoiYwSsFZGBIIqAaYIsHy8RaRzro3zhV7aS1dAygJUWREVYyf54jWEpuOxFIj6LpPBSO5I1FU5/RLebubuDH83uAwBYs6aPA4q7MFc4lub2ai36uhMZZ5uj8lqpCeWYS8pGq7TLTKNrkHSNAAJ7RIg6s8gccXZ3YHPc43VNpCMC4jOFajzuqLsY6gyldwgvjQrs3rCmrEB/zRmn+SSt1yhLZON4SuHYIvpuEHRfYT1BmWr+Ucq0RiKV9rXYCVizZk3Ihp+ZmVlyZvxSsSKfoic/+cn4m7/5m1XtSIsWLVq0aNGixWL45Cc/GT5/6lOfWvX2l/RStH37dszMzCy50R07dqzYI2BXgdCMIRJIMkNkCWSObIHuCGh/qELY4EdDMKxCPFV9BwBIQIk6RkY+IubVpamdPlzmGFVqJz2Ja8ZlhA1ZdpL7nVFboS8i+HwAwKzujmiBQqV7/1sHUROj4ZgpwGXiECszNBnmdMFYGxnYmNBPxttKRLai6RKcSRNYpel8gExENqMyGSpLEamEFDawUbO6QGmycNylifWOaiOdliHxoolsUCZN6ENtJOZZ1p0SBjPFMBxbyRiorqqBDhLGScEkWqxQ280zf4E1NKlmy0AGz5hcFkkVcA0ZMn7mTAcD5kPVFZXzsJLRrbnpXTTi7uwpikrIJIrmbKTzCLJJW7ydiulGCquT81s1tDzNfUDUgVHgOhZyxC6CVsVA0fm2fjx4ihzTuVRQIOoldTTy1wLToDjH8viZdESAY0Hc9UJMkQr6Neu3IzbIWnfPWxFpm8AEAbAQ4TvgdEZhCIUNOiErBGOL/MbEVpCOhIZJei0Sc69myXvJswr+Oz2Oinskvnvb/gCAx03dji26h8cVtwMA1qo53FJuwC2D9QCAvs5RGsogS6+nXGins6Q6dCbWRWt6knVlNaLFCVogm6NvijD2BpLpvlzGLbHGQ5OhNBkGmurMZaGuXFlnzltKRxbbsGr21vJxdzqtkDjpRVk2DFo8Z1bQdjb0W2jEazBz7dmdxRa1mqIRPOtZz8IVV1yBtWvXJr9v374dL3rRi/DNb35z2W0uKfts3bp1uPPOO5fc6D777INf/OIXy+5MixYtWrRo0WIUwVD4Pv57KOFf/uVfUJblyO+DwQDf/va3V9Tmkpgiay0uv/xyTE1NLanRqmpW7noQwr+Vy9r/PzjRkgbAfZUlQlSnlMvu4VHTwOTMj4jCvFhrKPrjuCinw5iiZl2nMIcvKhhfDIn8bhLtCmyYi5fCYs7XBHL6nXyEreA6oWa9M/LcCVXtGRtEjMC8zlHq6D5LkXjCFLFoi2dEjdTlMjbJCiukTjLWatJ6wGXYkdanXxeojUzaLVlNKm1S1krKyFaVWoWok9gAqpWkfPRO2UgGAqXXn2zPasfw+dM7NFlSm2lWd8LxzdWdkNFGqIyM5126OnlujJ3ugjRKd1fTwY3bOQnHenCuzpRG11b+exmuBWJceEYjz1Yb8cniDtKwC0aVzr06C67UhdDIRR1YJVpO4Mt4xphbZhKGEYwhc8dB4+nGQovomm2shGEZmaHWnl9G+pjaqEQLxpmi0jhtF/kSOZdqAeOvF64RsuE/DkJaWCMghI3reg0RcQ8hi6whQ4IV4boR0rNNgb1grFEQCPmv3uJJMq0RSZwk3KMoLLNI2AU1BOZvd/qdf93waGzYawf29l5Yj803Y3c5F66ZmwcbsL2eCONVW4UBe4wBCHy1YdpIiDRztbJqRHPEM245EznUWThnADAhqyTDlT9TKq3CfVhqhapWwTsuaL7G+Aw5jZCNvk+BGfJsIPvs3iIaGWw29Slq8cDgRz/6Ufh844034o477gjftdb46le/in322WdFbS/ppWjffffFxz72sSU3utdeeyHP83tfsUWLFi1atGixNLQvYgCAQw45BEIICCHwrGc9a2T5xMQEPvzhD6+o7SW9FN1yyy0ravzBDKvcPw0XeYU5aAvUE0CQ5rBshE5RQwqT6HZqG510JWKWkxbRPwiIVcBzGx2jgx4FFkOTB9aislmsUG5l4n/TQY2eLNHzTNGUGmAT1gJwjM76bAd+Ve4GAEkk7dptaICshPYHXvlq8bQNRY+A02xwbVCzyjj9Fj4zRofaou+ZNGG8+nWBWmqUkuq8pTXe+nURNAbzVY7aysAIlTp6zQBO+5EHsykLJSNDMdRZiDqtdWNKmhJlLSrTDZEut+MxVqAyElLGjBnnVeTO/7ZqIuyjl5WYsJFFyll2IeCYoq7P7ul7fdbQunaUsGHcO7JOzvdQ5OjIKlxzueii5/VHxOBwKGGDD1SBOrJGgXGhmmWphkhbGTQ/4TvTj3RZNpKETfRbpY319aQ1vo7Z6NM9FzWklYwcideMRg3Nsvn8jgLboplbOAAMkYXxDcwlq2c2jjUCGCO4kPmM4OSBZxKI1REIF4eFcEXmuReRQFLvjG4JawSEsWFqwwrBSA6bGuFop4nhpA2NpFGuO6bBkATNkXC6IgD4z9sehkPW7okNninaXc4hFxqHd28B4HyMrp3bz42lyVAZx2wDjuHJVfRfk8Ik1eyJkQZcxm1ls3BNukP3z0PhGM+QmQYRrvMJVToNnr+XmsyzgQj3qDaO2eVXlKvl1sgioyGRTDcEf67C8yjqi4QRjrEzxP65/yTVDXYmWk1RwM033wxrLQ444AB8//vfx4YNG8Kyoiiwxx57QKmF6ysuhhVln7Vo0aJFixYtWjwQ2LhxIwDAmNV/M21fihaAyQGRAyJDlDXAMwUK0N4EupqyQNeFYlOdIXJhQjbF0OZOgyNIa4OQJdaTJSqTJd41QIzOBzZPNBrayoSBIr3JrO6gI2tMec3JtBokNcp4FttQZFij+oE54g7Q4bht7GsNJHP8QGSTlLAxa6QRXVP0HTLMTGSOKBLntaoMRKjObqyAkVHvMRBx/4WMWU4DnWFYZ+hXVDXb1aUit2Ee6UthkSkDm3mtTThWlpUlYyZNXUfGqfYsYaa8hievMVm4C2JtMfBj4vY5r3PsMN0Q0fbrPGTADXSGqVyF/k+qEjP5INST6rKK5I6la45rzPQDUqfsjsydbw8oS9Ct2xUVlIjT2OQ1RfvqijL4yOSonSu0vx6cLxBjahhzSS7pgVWy3juJ2hJ1YI2ImeJsKdeSuGWRKeBQMCHCL6BdxqYfL2MEcujg/dX0LeqoOlyrpapTlqHhWRXGnCG4OVuRMI7jPG8EGTVZpsMSPhmOaYwgGOkjGdNAvxvWDhg7YS0s+P0SHinOh6iO7TRK4rl9kBM1y5oFJvAP049H75HuubEh24FcaDyqcNqMvbJteFixDQBwdzWVZKaGbNAx7vZ0/Ly+WZdp6Yx/lgGecWLPp46sUUvSkxmvTYrsHuDc6QGXcRaeP0Y6/6gmu0fnVAgIYvNMZIvcIhvPVdiEnlX+OzF6yp8XYvQ8E7izHK1X07zx8MMPh1IKp556Kk499dT73rkHGDfeeCNuvfXWEdH1scceu+y22peiFi1atGjRYlfHKk6f/eAHP1iWzc6uil/84hd48YtfjP/4j/+AEALWkszBB996+X4J7UvRAghMUYOdEwqABZQvWF9PIFxolF1EjE5tlJ9v99qVBusytHnQd+TejydUibadxN2Va0F6qkyidoPowdMVOtGq9E0RvIU6skbfdIInUuUzdNSY8IMcqZtOwMF5ujEwzXpS/P9NjGszMEiQqEzan6Y2CACGlWOKiBmqawWjJVihbwjlmYtcM82AQ1fVwadIChsYp9LXtqJMFq0lslwHpkgKi4k8sjqVVeH8by172F52QrvGCsz7yt2l1CiNQi9z20o4TyvScw1NhnU+jKfzM+fpyKY7OG0LuHNK/wAELRng9BxJFA/vhm4dO1BJXnsvT/RHlN0VdW1RA1VaBWPzhA1oIrq66+Cl5H63QVdE7S6UHSdhIYn6aFxKwQlbxvNQsaxPJUx0pfZ18YIfVuNyl8KG60MI6wWc8eEas8sig8C/E1gCWbzemMaIJEiAYyZsYIMsuJbFUQ+N7DPGegBI/Zqy2KYUbKw8sUEyLGsBSgpUA2DHLWvwxfwQAMDv73s9enKIWyqnzXhssQlPmrgFAPBztQc2VWsDOx3803SsmcgZNzf2qT8XnW/Nrinnmi8Dc1lZlfxF0mb0z1N4ThgR/KNIW9Q8T4KNWRhN6di8+JxwmjDRZIcApxWzIh17YWHJpVy6sbepbK/FTsQb3/hG7L///vjGN74R9EWbN2/Gm9/8Zlx44YUrarN9KWrRokWLFi12cbS1z0bx3e9+F9/85jexYcMGSCkhpcTTnvY0nH/++XjDG96A66+/ftltruil6Nvf/jYuu+wy/PznP8cXvvAF7LPPPvjsZz+L/fffH0972tNW0uQuB1aQGyZDw0MEIRrL5gXMDjeMO4ZdbK0mQmVnit4pG2le54ElqUMtsVhfqFlBfl6TyzVpNcZTgdqKML/eR+FZJxcK9XUnRMyZ9xAhT56hyTDQab01zgCVrCZZk92pmSs1z+ah/i6YvYOUGQrH4KN4bcTIvgjkIQS4SthVrWC8R5SpWa0j+Ijff1XKIFMGncyN79ruPLpZHfQJs2UHc0N3joZVhrrMoMtYaR6WZQNZkbBOmdShHtP2soN+VcTzJXU4zkGdozIqiagNRNh2oDPchnUAgD0ndmDPYjvm6jUAfB03f35dxo6F9CKsgdSJl1NlFXPG1kl9NdJvhEr1Js3aMohZdk3kog43RGWz1BcoOKLHx4kOzGWFgcgDG8A9atzxmJCZ5rYzwSsn8TOCTtkiOURls5CtSbXkXBsSQxEz64wV0FaEe2Kg88AalUahNql3Ug0bMu2E0DCCX5sxO86aVEYEIGUcBNMCOXFQYHqEBSwxGzL1yoGJ61FNtCQbTUQvHmG8l5rf2iCSSUIjyXgTLJFNVoAaCNy5aS0A4BP9I/Dc/W7C2rwfzs9++d0AgEcWzrj3N8JNt1QmS53IWe1FWHeNRp2Q89FKzo1nw8l9vcOYIrouhjZ3THXD+4wjZAqaxlUrPO/Gs89GWD1ilRAYoDCIMjZkLdtWhV/dtsqxfztLU9Rmn41Cax38E9evX4/bb78dj3nMY7Bx40bcdNNNK2pz2S9Ff//3f49XvepVeMUrXoHrr78ew6Gj4nfs2IH3vve9uPLKK1fUkV0WXlgd0rCJgWf/V/Puy+Ztk7hzYioIcNfk86isDHb5pc7CtMe8ziFhw7KBzjGZlaFYKv3xA9zLlSt46qdQdEznp+m5QElrhY6sMe3NHRUTXe/b2YxZ3Q0vYm5KIU6RGaNG0t75g6j5YOJGiePM8calOtfWiSI1E7rylyhtuSg7naKwVrCij9LT4DJpvznrALiinp0c6PqpK2NFeIEBgG39LoYDbw5YSaCWEHNurK20qHUsGVCKjPVPYL7KwwOWXnAIVFzUHZeAMjKMb7/OnRDbL+9XBfql+2NRKI2Hd+9JxrmQ8cVh3EsjndO5uhPEqpnUieC9I+vEXLISKnlJab7MSmFDaRklYjHg5nQZTbXFsiTRBNQIiY6swvku2MsKgabtyEIgCHphkkQE/ofYibBjuRA+1aetwKQchjRwJQw6ssasn+6Z13mYjhzoPCkumiuNipl5aiOhbRThW6uDsaM27jq2rBBpvPxiORCAvSDRj4q9QBnLXozc1iEtXPu08PBWJICa/WGGAD8dycSbBaCdFADwRrP0t78Giq0iLBwog6/f8hg8Ya9NAIBfDdbiqWt+BgDYM9uWmC7e4wsV85JANJ6Z1OiI0eLHdM1WNkumcyVzwu3JMpQwGuocQ5MlAnkax7AtTX9Lfx7424lgU5V82jL8Z8yAwQnYw9hbuBIgYXkqtIb1gvcl1YVYBbQvRSM4+OCD8aMf/QgHHHAAnvzkJ+MDH/gAiqLARz/6URxwwAEranPZp/O8887DpZdeio997GOJQeNTnvIUXHfddSvqRIsWLVq0aNGixXLw9re/PaTln3feefjlL3+Jpz/96bjyyivxl3/5lytqc9lM0U033YRnPOMZI7/PzMxg69atK+rELgkvWLTSs6/s9dGydFphfAQGoLqri029GWRrIosDIJSiAJBMDaQmh9JR/CADRBEi6ik1xNBm2FF1AThB94SnnDWcoR1NtRkrk2m2XOiQrr9W9XFnNZMWZxU2Kchah6k09zs3vGuChI4LMUMLTYM11+VshhA2RN6UZqvZ99A+fQ/bIXGyCym4cMyam0JxxzJbZhjUWWSvdJyGQy2BUoZ25FDC6tgHUZhE4DnUWUjnF8KOiNZp2WBYQEsLMgQQwias2HyVBwZie9nBrO6GNly5kyj0JlYDcIJ3J2R1+62sREWCWJNeh7VRGMpYiiSXOjFv5FYOlHZP/c9tzZggOVIiZGAzVGOEsVKYEWaJs0UGIgjLCTq0rZLI1jRYAylM7AeL+JUApC9/Arh7oCdLbNOubMW2eiLcL5nUoWAs4Av+ynjcnO2z0rgpNC+6t9aZBlJJGM4aaS1dKjhjdBz/wygLf40KCFg2ZQYZp9JI+JtwSJIzImyaiArFyviVzwyZLE61Ae655bPuIesO9KNqXPvLRwAA9t6wNTy3fnvNLejIKkx7zeoO5nUepmw5w9hhdgxu/DLMWhmmyHKh0WHsZJrqbxJrirswFc5LJrUrFk1FnFUUc1t/PkJpFowmZ3AGDzI+Y9w0G0KKfjp1SWwRE8vDOh2C/8XYlKm7P9FqikZx9NFHh88HHHAAbrzxRmzZsgXr1q0LGWjLxbKZooc97GH42c9+NvL7Nddcs2K6qkWLFi1atGixCOwq/XsI4YQTTsCOHTuS33bbbTf0+32ccMIJK2pz2UzRn/zJn+CNb3wjPvGJT0AIgdtvvx3f/e538Za3vAXvfOc7V9SJXRE2c5GV0O5fiAZsLBILAKpGeLXM7pDYPjWJbRNOz9PLKhfZ+0izULHIq0GchyfURkEpxnCQ1sfvgCK30mShGmMmNCqoEPnWRiGTGrnx2iTYYOynYNDXRVKck6PJ3pRGhb4vhqYxo7PglyNp8LSOtQsXhM2lYaUWAEd2MOaI9qmli/CCmBLBII++N8Mi0rXMVzmqWgVNgq4UbOVP4kBCDiUSTXstoObIKA4Y5sTKCShpkJMppHKp+7z4LOkRqtoVpa0ynSwjUXRVK2TKLZstO/j1/JpwvntZGewenOasCIxebSWktVCsw3RduZg9Mo7uujCY94aOE6pKmK2OqJJrQjGWx5mJ+vHyFhDN1GrOCJGmhIq8EkiUOy5poPKPI7XEWE3b6FyomAlk6EOwu6ixRvUDW9GRFe6pnC5mXheYZdtIYR0jEVhem6aTN4xIlTDIFBl9RtZISOsYSmIkrE8DD3qUyFY47XaqIwrXMRWdDduJwGITrH9mWCEgDBvuDI4u4sVkOclkIuMtK6D6zQTk0K1wh5rBltkeAGCv7nbs170bA88UbasmUOoMpb8mJ1SFQqZ2DkQWUYo+P9/R2NPZMXAjV9KBSWEwocr0meQLRANO+8XvMyDU5fYsXXwWjJg6ggmt4ccz1HESrHivbyMwc05VHYr1KqcRs+oh9qbxIMKnTIwLxQAAlwtJREFUP/1pvO9978P09HTy+/z8PD7zmc/gE5/4xLLbXPZL0Zlnnolt27bhqKOOwmAwwDOe8Qx0Oh285S1vwWmnnbbsDrRo0aJFixYt7gWt0Dpg+/btsNbCWosdO3ag241yA601rrzySuyxxx4rantFKfnvec978Od//ue48cYbYYzBQQcdFNLiHjIQ8R/XEFEKZiAkNKKRmgCyOwvcPePGYk0xwEwxCNF3qVWIdILOI6SxpUUPXUkL0jVIr/Fw7bgiqO4i6KoKUpjAKsxWncAqAL6ciI/g50wnieZjBltkjkJRVyMTlqgZlY0DMVsUTdsx24ym1UYpBeAiuMIzJpWRsExH0tQKOLNGEbYDX84fINImDAil8+f+6je1AIbeXHBeQpYCJG2wPqVZT/jtbdQfDXsKQhmUhe9vUUOIqCOS0qKsorkk7RsAZn2xV8Oy8AilNvj13Brk/lrpZWU0NBQWE6oMRqD9uoPZOkPX20A4jZFbt7YyST/vqhpdVSVmojnLYhyKmB1JUMJdZ0M1CEyLgk0if2NlkhnGy5I42wnF2Elv1uiHkxe3BSit37M/wjbKwchgYKqEHdE1ScZO8Ww0A2dLMCmoUG7MpNpWOzaEs0UwCKVmeqJKCh3XhpWAsRJCyFB6pFAaleGskUp1d4w5sjoelzXwzxquZYkqmCTv26eXM4I0fo7yRNdO4w+gFQCvmytov/CMuAV6m9wPc1kP/d3c+b5zOI1Hdu/EZs+u3dGfhhQ2GJG6Xbqd9QHkIj6rOrJGTwyDHiwXUZumhLNfIGPPysYyOMpaV/ZDxexNAOh5PQ/PSivrDEJYSBPvkapW0X5AWlCJLKfWWiAzMPwQWSP37GfflXVMHuC0RlLstOyzVlMUsXbtWm+sKvDoRz96ZLkQAuecc86K2l6xeWOv18Nhhx220s1btGjRokWLFi2WjauvvhrWWjzrWc/C3//932O33XYLy4qiwMaNG7H33nuvqO0lvRS95CUvWXKDV1xxxYo6sqvBCh9ZjRGw8wiLo5wBOluAuTnHAuxY08FMMQgZE7wwaiZTTU3pyxAQk9TN6hD9b616ybq1kZj1pTuMFUm5iNIo7KiiCZ9RIphJ3l27eVeKqANLAIp0a5SIWTh8n+MMGsPnBidrvA8RRXcSNrBITQt+6bM/YsHQCOkN2GJ5hegRYhvCQdPQMFkjYzkGI1B3JUwW+2+MCPoPWymI0p+XOQFZRm8XAfdZVizDJzAQgOmI6FNTSwhlkeXuHHJ9kVROK6Vrr8MZuOhW5V6vUkvUJemW3DH3fOHZUkdvpDW5qy+TM3ZlUGeBzehlZWSNABSyRu2vlYGOjBLgtGk1ywKTsIFlpHNGvlnaCnRk7vetRxgerj8C2HUjnGeR9jdS7ouAKnbtcc2OgQgmkMYXsHGfSb9Ej6yaTGXCieKZaMbK5HuqW0lZLiDeE/O6wDxiNlzNGNqu1y8RgzrQbty5lo6KDVdaodQmXmNWQCsZyscYJaCpeLH2DAYjOYNARljPWNDF7IubEuPEtnM0QLxHwr1CN1VTi8RuNlkDRgGdbW4jPSEwN+1WLmSNrowM4z3zPXSyOoxLJmMpo0LqJKsRmS8H4i8Nxwb5c28tCpatNrR5yLqkUknUjobTIRb++pxC1CVKWKDOEzYVQBh7Y0V4rjjvM4uYokf+UWFUkiK+1o95GD9G2pHRo91JTFE7fRbxzGc+EwBw8803Y999911xptk4LOmlaM2aNeGztRZf/OIXsWbNmsAUXXvttdi6deuyXp5atGjRokWLFktDO33m8KMf/QgHH3wwpJTYtm0b/uM//mPBdZ/whCcsu/0lvRR98pOfDJ/f9ra34Q//8A9x6aWXQtF8r9Y45ZRTHhJVdwOkjX4Wvggs/QwBeKNfSKYpUgNAlQAGnrWpM5QmS1iVMBeus8RJtzYycdItjYIsvBYJ3l3YR/lSWGyvOqG9DDoyLcJioDP0Mh8BmwzrvHX/3dVUwvZ0pGOjuO9NEn2h4Q1kxdiMMnKpDq7U3t8oMFtMN0Qu1dQOFVql8dWMGRopB2KRskZAzOABvP6Ih8mk35CY63dClhhlnVVe72MNkM96zcN2oJ4EqNalKSxkDQjPFPFME1EL2FzA1tydW4dyIzXrp/BFR0lLYvw1Yn2ZCmtE8FbSWkIbkbiL0+e5OtWMkX8LMUWJJ5YvAYLMM04mS871QOehXa5Dov1JEctd0PEBAJTPLmuEyKTT4dtoKxMmkbKROiIyViYwb8IXDEX4LtkyIF6XBhKwBtrvSyFmorn9RA+jrtcm8cKzPf+xVAPvwB3vHylMKKNSetd3WpZJHe7Drs7Qr/MwZvzeyqVGrhTKmpyxRcjKBDxT6a/HulbQtXLatuQoWSYa3T8SgGHskGXLiNnmQTO/XUXMorXCZZwFwiQHoCymb/Ns2EwR9Ee1UUlmosukjExNJkz4SyKFRY6ohyQndPI44sxgLrR36ncb81ItlVHhXACAgoCxjNWWddyn/21QU/kaA6PiObVaBK8h+GxWKrEipPDeRDRcIg6adxkPiWkWjcHFCPvW4v7HIYccgjvuuAN77LEHDjnkEAjhy7E0IISA1uNLYy2GZWuKPvGJT+Caa64JL0QAoJTCGWecgac85Sm44IILlt2JFi1atGjRosUiaKfPALgpsw0bNoTPq41lvxTVdY0f//jHeMxjHpP8/uMf/zjYbT8UYGmuWCGNzADAsmw0EylJWQPZHCC9p82gzrC97CTZXYOKHFrdPDzpE0qdoazji2be1Ul0XFuJac8QdFTd8BSSwSfEKIHaSGyvnHvvTD4fIinSfMT+aExmQxjvlM0zOjJpor8JRr2IkqwgK5LsNJehI0ZYHcBnerD1rRXIlEmPhzlY15rVNBIIDsFCNByOQ0ogC6GZ3sTUMmR+5ZlGnuvAFMGK4PRLhYBtZsO2VgGaFYwM556yEmldzywGbxohYgRqBYwWgUUSOg0vVW4gyBlbWihpQwHbkTp4EKzIr0FX1ahlZCvqEcfr+CR0BYCjNo1IHXISjjXL3PjFayIWuu3YOon4HStjQ00rZaPbcKx5FTOMClbfjC/TLGMMiGwBEJ3gDadMBILmiPed6qGpwHoa5DLNcCMWadrrR4jlknX6V0OKDHWjHiChUHVgZgHHKkXNoHNfpjGqjEozJ9k9UBuJYZWF65GzRrZSjnJMnj9RYySYzo6GJdwu3BcJ7Lp1g5I4wJvM7SObq/26RWA1t1ddDG0e6jQqZVwGJz27jELmn/21UNCyRuH7VxmJTMWCsJIVhx2a3Bco9gW1dTctmMz8zKTPRgvebYzlJD84Yp8DY8TYq6Av8sdM14a1Aobdp2BjZt3GSXZx6n8mVmdOa6loX4oAABs3bhz7ebWwbInYa17zGpxwwgm48MILcc011+Caa67BhRdeiJNOOgmvec1rVr2DAHDLLbfgxBNPxP7774+JiQk88pGPxNlnn42yLJP1KEWP/7v00kvvlz61aNGiRYsWOwtilf491HDTTTfhtNNOw7Of/Ww85znPwWmnnYabbrppxe0tmym68MILsddee+Giiy7Cpk2uovLDHvYwnHnmmXjzm9+84o4shp/85CcwxuCyyy7DgQceiP/7f/8vTj75ZMzNzeHCCy9M1v3kJz+JY445JnznIvFlwV9BVlofmbmfrXLSBUYcRKbIZy1lc+7Sm+t3MFlEV9ZcMWdfbYOfDUFJG2psSWEDw1OzeXYAmFAxw6g0LjOpy9reUvdC9JoJEzI5lK/NlTXchGvf1pwuIP2yLlwE26e6VBRRjmF/nPYnVjHXRsB4tqi5btNPyBjn9MzZDNrOGJl6E/GoVzhGhfu9JLY1ifmR2y9Fi52sxmSnDM7OZWGSda3CyNMjlOeyiLWQJJInjZDW6YKIialU0g3uaGyVhahlcNK2QsMXt/eWNTZkInK34I6snaeQj9qHxnkLkXcS6V7oM2c2JByrwRnIZh082bg2uPN4zER0WWLER5FvEQ2RFiKwP+R0TZoS+i16HsWx15AJY0j7pWVKmESfpH19NmqHPo+rzeYqbLltlTAhy3JSDp2PEblf59pn1zlR2bwuMBSUDSdQGRXrA8KikHU4P1yzRSxH17O7A5ZB2BxPawWGWYahN86aH+bQXhNYKwtTyaBbE54YEqQ/EowZkvCiPd9uaiaeXNMkCSMZls0AWMDk/h7OAeH1czP5AL+p1mCu9hlhwsKYyHKPnjN2HgVQWxVdrBvPvB26i+2+Jt1sXYTfO7L2GYT0cB3VhsyzsewxNjWTBvN1Ho5NSwP6U1drfxWER4qFkCyDVMtwL5GeSBChbAFhGKskVoe8abFyfOELX8Af/dEf4bDDDsMRRxwBAPje976Hgw8+GP/zf/5P/MEf/MGy21z2S5GUEmeeeSbOPPNMbN++HQDud4H1Mccck7zoHHDAAbjpppvwkY98ZOSlaO3atdhrr73u1/60aNGiRYsWOxXt9NkIzjzzTJx11lk499xzk9/PPvtsvO1tb9s5L0UcD2S22bZt2xLDJsJpp52Gk046Cfvvvz9OPPFEvPa1r4WUC88SDodDDIfD8J1e9KyKjIGwFlb56Mv4Zb5J7mgtNDBY73RFADA/VJgri+DQDMTI220mMJm7KcCpvMRAZyH7rKtq9HzW0GzdGel3jIqcRxFFyYV0285WLuqqrcSc376jamTeYwZwEbOCy9QAkGhVODsBuBpQgzpPMsOC+6yvV0ZCf2KJFqpazdkJ63YctQLcl8ikEahg1a2jm7Vfl6I7Oe6ut84/SFG0akM2GADITKNaE4VCiVRJWdgMqaEw34cRge2RhU6YIi5rsto5fFuK8GmdirQOFpl3xi7yGrk0ge3r6xhBGyswnUeX9I6sEw2R85OS4RuvYA4gyVQDED5nQiYsEbFInJmpPfsz1BkmpERPuutTijT6BxAjfOFuGGIR+7qDSmSBSXKsTKNulgd3za6sQmVVcu36I/Tb2eSBbyBRWWrHtU+6JK6HMpDoyWFot2srdEWFnuqG/gZWzuYY6gwVu0CSzFKjwrJmXcNeJgOrG/rI7qUJW2G+cmxaJ6vRLz2LqTLUmQr+VqZSsEJGtqIGBH3RPquscQsIfioYyyEMYvZZYQED6K7XCa2JG+7Z3YG+LrC9dGOijdMBkuO6TvzXXOYZHxfOTHdk5XyL4FiiocmwpXRO2TXLVKyVQiFr9Jiv1kJwDLpOrkO+/7LOUOReKyWcm32T8aZngZAGwp9Dy2vQ+TEDu79HZIz3M9qU/FHccccd+OM//uOR31/5yleuOOlr2S9F+++//6JGSb/4xS9W1JHl4Oc//zk+/OEP4y/+4i+S39/97nfj2c9+NiYmJvDP//zPePOb34y7774bb3/72xds6/zzz1+xHXiLFi1atGjR4oHBkUceiW9/+9s48MADk9+vueYaPP3pT19Rm8t+KTr99NOT71VV4frrr8dXv/pVvPWtb11WW+9617vu9YXkBz/4QVJO5Pbbb8cxxxyDP/iDP8BJJ52UrMtffg455BAAwLnnnrvoS9FZZ52FM844I3zfvn07HvGIR8AKCystBARMxvxRKLIgdqgRJMsKKBzZhLlSYX6Yw5e5ghAqsEa5cq6vlEExlQ8xlQ9DhFmoGhs6s2GfHVWHPszrImZpwPkXUTaFEjroGGhbinQ7qg5uxG5dA0ggt55lsik7lAvDdCROT0HfFZvDz6VOtCtOLxEjZe5ETW3RtgIpi9Rcl9tPJPWimlSyhdN+UVQskQi/slxHTyQA81WOoc8EtFbAkifUWgNZMQ1ZZlMvGCPSzDGNECQYlUFNxDEUykKSc7mQMLVhAgU0/h+jUuonsYZbBjK6omdOfzWZRXYzkxpUDrH2db8A0nakNe4K72sEIKltV1sJGF6TT7mon+nauJZm3hToKV/R3LfBM8w4EsbHKPRtZL54qgdnjFz/RRLx87ZJNxR0bEIyl+zokQMAsJnTKyHNTqN1FQQMc7/OVbxHeO3AvinQlx2mlxIJE2eUDLXPXO01psOyEkOjmeaI+3hJ1FqGbEMlTdAfzqscwzpD6a/VWhlopWC9+7mVIrCPEpJKo7lDaT6jbJTmkN6ITpXJLWQlMdjda5eYdm5Clpg3RbjHC6WhpU30ctzfzNWls+F3YwUUEaNWBQ1RZSS2193EO4vugcqolGHyPkl0jjuiClrJeZ0HFhMAkJXuOvfr7hCdkClH1zONp0XKSAsR5YhWYETHaNlyyjZtSKruP7TTZyM49thj8ba3vQ3XXnstfud3fgeA0xT93d/9Hc455xx8+ctfTtZdCpb9UvTGN75x7O9//dd/jR/+8IfLauu0007Dcccdt+g6++23X/h8++2346ijjsIRRxyBj370o/fa/u/8zu9g+/bt+M1vfoM999xz7DqdTgedzuj0VIsWLVq0aLFL4SH2UnNfccoppwAALrnkElxyySVjlwFYlpHjfdIUcTz/+c/HWWedlbhf3xvWr1+P9evXL2ndX//61zjqqKNw6KGH4pOf/OSiOiHC9ddfj263i7Vr1y65TwEs+0xAIAYiPqPHv0d5ssUtEc7vw5fvgZxTqCaywKF0iiowGYWqUSgdmKNC6pBZBDiWZkoN3Mpd5wtELNK8zoNzcSY1JlUZoipXvXqYVDuXjQi6Cdq2I1OPG0gddE21lWP1EICbj59QdXBazlSOocww9G6+zgGXqJd03+QuHeb2AVDFasEpGvjEGtIpBR8k0gIIWDP+iSGk9VlZzKumVqhLHy0y7YDNLIwAbO4zzDLjmCGKJpVNIkPBmCPbV9CZgQyMVHTOlcpASKcdAhyr0AwxgyeP0iiyOtHzEEgDFDU7PqvQj/0EbGAGXVV3lfg5JTohNZo5RHAeWvHxQLXRCJnUmJDuJphWAxjEelUVu4Y6skYua5aZJiGZA7uGgIyDn3ZCwKfsRcaBNEfapp5BGhLKEkNkfO02ykYTzvGaxgDRP0ixjDXXB/e/SelYsNzWGNqYOadgE18lcuEO4+KZQGIuOHPktDbkaZSF8aVMNDq3UsQadKpjkCkT2cMqQyUtasoKlCroHY1094EkpqgUdEMlxwY4TzWYyBTZwkLOCsyv923lwJrdnDiSridiXtZOzCc135oZZYkOzSgoZSHJZ8rGmohDk3k9pA3t540sMxo/KRVyaNDTVgrnWxT3Y9gzMIOROnkGzoWqdBmc8ZNvv1aORWTsb/ALszLRBYKkXPQDSRpV+6byQOH+8EZctZeiL3zhC2OFz6uB22+/HUceeST23XdfXHjhhbjrrrvCMso0+8d//EfccccdOOKIIzAxMYGrr74af/7nf47Xvva1LRPUokWLFi0e1HgoC61vvvlmnHDCCfjNb34DpRS+973vYXJy8gHpy7Jfip74xCcmQmtrLe644w7cddddI/TVauHrX/86fvazn+FnP/sZHv7whyfLqOZJnue45JJLcMYZZ8AYgwMOOADnnnsuTj311BXt0yrr6lwZH2qFeWZXt8vKOAYZdzyVLgMNANS8RNXPUPsoT0oVIr5MGufEiqjLmcyGIfrpyipk9wAuA2neR6y1j1ABF3F2bRUcZAHHMimWtcErqhtycAVCCl3QfMiow6iMs/SmyI3XXQOQZDDR76Rl6mUVykJhzmfAzZVFcJMmryDqAjnRBqdsw9yuHUcX9mGtCHe1CPQc/c/4OkbUcHyCCM8yEEunlEGvKEOfTC1g/EkUlYTtmFDjTGSOGRJDxqhQdJ0bpysofWc8oyTI2skAuozmQzIzULk//4UOVdIJVJstU66KPDFb3NG6UL4Keagsrxq1xQwmlLtu5nWBTJmkNpcUdiQzioPX+XJ1v0YzrQxcXTauFcqFDgwRZ1aInMzZda3Z9Ts0OSr/GKJ1iAXLEbPLYInxIa2KSfyIKqtCzTVlXfZTAco2k3DsQHzcFd6unVijLtz1XcEzB37MlK/lBQBdUUFJk9Tq4vopbWXU68H4ivDCr+vGnu5FIwygONMhURIDZWRgXzJp0M1i3TElDAYijm9lRbgZrBOFQVOmbCYgh8J568B7EtGlYhA9uQCgMOjeqVD6hGI9YXHgbpsBAFurHiobdW09USVZjLwuY+YZGroG3TGnGi16rtVGoaPqcN3kTMNGGWxBH+ezCfm13mQ5aYwmVOV0mDKydHQPhHuB2fVLY6FFrElHjvRSGVghAwNtyc9IxIxXsTOZooewpuj444/Heeedh6c//enYsmXLokTGhz70Ibz2ta9Ft9vFhz70oUXbfcMb3rDsviz7peiFL3xh8lIkpcSGDRtw5JFH4rGPfeyyO7AUHH/88Tj++OMXXafpZdSiRYsWLVq02LXxn//5n8jzPGSL3duM00UXXYRXvOIV6Ha7uOiiixZcTwixc16K3vWudy17Jw9KKOv+CUeo2FDPygJCxNpYEME1VtZOJqI7Ue8hagntaxrVysL6DK9KK5RSoVu4CGtCVliTzQen366oQ5bMwLsB86wiQm2c/wkxTKHKNzsU7nDchPOjidlolYmsVmUVipASlW4/YJdOU/tSSO19lvyxZRXmfT2i+TJPaloRdMgAkYH9M/CZYWNrqAEQNuqPlAVsZPASvyKRbqukQZEBEx3PxFmgJq1Pptx5C1ol6zLGKHrULlPHrSwcTUiO2JV0fkR+cVboEHWa2mmIBGnGcld/jda1Voy4ffPxpPGayoYoZB3Ot9ESPGeLZ0N1ZO0ifL/MQCCTOnFgJm0aMJrtVTBNRs28aGoj0a+LwCJKYTGlYjYcEGvjVVCQ1ga9D/UjridDzF5pFTQ+gGOfmh5IhrFIxBbF/suwT2UtKhG9kAxEYHz4urmoG/5H1lF8IvaPoPz+SJvXEQa51UnWXWSOZLo/4bJAmw7jgM8ezOLvA50FttR4LZwU3gFcGp8hFc9TNfRn2PoWyXtIuecRXU6qFCDyWVjHHIVLTVpkA2DY89sWBjO584y+aziF2shEk+eyXokZHmJCUe08x+bRddSTJXJZRw0cEK6bTGoUTKsmhUlYbfrNnQcBDRXGlLOnOTQgAcky/SAQ3flVhV4WGT16FtFxlFoFZk4bCa0jswqpU/d+I2AqMqlzGZuh9uH9jAdq+uxb3/oWLrjgAlx77bXYtGkTvvjFL+JFL3pRss4ll1yCCy64AJs2bcLjHvc4XHzxxUtOif/pT3+KqakpHHvssfjVr36F3//938ef/dmfLbg+LwK7SxSEVUph06ZN2GOPPZLfN2/ejD322GPJCu9dHoX7Y2eNnxIhCtXbvAcDPyFR+wddNoC7GUv/x2ONv4FVTE8lVEah5CJDTx1XXtS4Jp8PD9hZ3YFBLGnQVVVIY5VQSdr9hPKpq+yByyn9jqyjuNS6NGZtR6dIcmhf/iCm2rrio3EajdPn/A8qiXJJmDmTD8ML0qwq0K+KmCIrXGkTI2jqgJU/8GLqkJafTJ8Z92bELjcLwUzYGi9dtYxFKWEhpUbHT1fVuQ7rm9wkVv+uMQvb8YLweQlZRfrcauGm0YAoamVCTBmoddN4wXMmkioz4Tu3DAAQ/ghx88+OqjGlotlgJTU0RCjWWRvFBKYGOYA4kSqdlQKVu1Bx+pan8gPxj1FGdgNChGsug0FpFHZU3bD+uPIxHPHF3rUXpmVllRaEZX3g01EEw1+a2O+avWwY615bSMBtrEQl4otPV1Qh4BhXEoS/aGkbhdTaJxs0xylnn6WlArCZeyFkqelSWEg7+ldJCn9vsQLANNb8HqNxM5lIXqbDC1yloKWMU8hWuikfbzehJULQYEsgi7plQAB1N8yoQ64t0femr/cMJmAggvi7q2qX4OGTMApZh5fiXOixY0oY2CwWC/YCc55cQtNu1E4TfMoslA4R/nkUXkhNkpgyocrRqbZwXlwpnjDO0oZpbK1lWpAa3n6DXr6EcUkaavyxrjoeoOmzubk5/Lf/9t/wmte8Bi996UtHln/+85/H6aefjksuuQRPfepTcdlll+H5z38+brzxRuy7774AgEMPPTQxSSZ8/etfR1VV+Pa3v40bbrgBe+yxB4455hgcfvjheO5zn7v8zq4Clv1SZMfc1IBzhi6KYuyyFi1atGjRosXKsZpMEVVuICxmTfP85z8fz3/+8xds84Mf/CBOPPHE4Bt48cUX42tf+xo+8pGP4PzzzwcAXHvttQtu//CHPxyHH344HvGIRwAAfvd3fxc33HDDkl6Kfv/3fx+HHXYY/vRP/zT5/YILLsD3v/99/N3f/d29ttHEkl+KSNAkhMDll1+OqampsExrjW9961v3m6bogYDIDERuXNRF/wAnumMiayNNCK9qCEheLLYWMF0TojopTWQyiBanSN04UzOKtvumwN3VNACXuppLk0aLFL1IeFMzz3RYgVzE4pjcZFEKm1DZ0dTPp/saHnunKfwGImGDClkjE2nEzCPotLSERtagvSld38ALq/0ckFGsPAhPJwZGnghS2tBDa8RIFETSN+MFkUHsXfj2aZpLxekpLQ1sxsTeRsDm2k1/AdAigxio2B2LpDgnjIAhAXVHI/MsTw3lZmUYg1VrGSwJCqWhJImp3dQjMQddxbke308fRTvmLxWf8nR9YosAzhj54xY6MFmVHS1DwYvL0vnnywiVUZiti2Tqg64pI+TItJyGDAJsSDb9yhhMOpYhS9PnBW6lYPnkSEXY9F2TySIsJC9/wggIJSrXH7+f5nSdEjG130Ak02f8em9+V8IJuGnaMCQ40NQWK6ljrHQmn57tkyraRzQLyQIudZ2me4nVAIBSWAgpw7VqAJdSTmJ5Fad+rXAME031C2lQrnUCawDYfe0s7px32T9bBxOYyCtMZOkVFBhHZlPQkTV6cjAyjsTkUfFgwLHauTRhHJrPqo4okza4/QG3ZyDGiJ6dxovPyaYCOgtmpwbO+kD6cVDaQEmD0j+PtIn7UHkNpWSYAnfFZGVI2ZeQbsag2klM0SqCXkAIZ5999oqkMWVZ4tprrx15KXne856H73znO0tq4/DDD8dvfvMb3HPPPVizZg2+9a1v4U/+5E+WtO2//uu/4uyzzx75/Zhjjhmpi7pULPmliARN1lpceumlUCo+kIqiwH777YdLL710RZ1o0aJFixYtWiyCVZw+u+2225LapSu1rbn77ruhtR4xR95zzz1xxx13LKmNLMvw3ve+F894xjNgrcXznvc8/Pf//t+XtO3s7OzYGao8z0fYsKViyS9FJGg66qijcMUVV2DdunUr2uGDBVmhIb1Q1moBQ6nk1kV7cRbRBkM+qyQsGabBMx2siGkTxkYtyNBk0BCY8ZHf3dU0tlbODj8XBpVBou+h+X0ZtEU2rCuFCULcEU2GlVD+tzxEVlFrQ2vzsgi0LJM60a6ENiFQCJOYpY2Lbl1DNabyNLW/FmnETai1dEwDiZUNM3n0YlPlRY5GC9ffIPWKTw8q+UF90t54jpe5UME2wX0nVgkKMEbGc2xFSNc32hs30vlW1guzIxtIbJWSBkbwIroW3GuyKZ4FmBCXaS0Ad94o7b0jKkAAPd/diqfQw4mOaT9KWGjG2jjWjqr4ApD1KPtBuhxhghWBsS4lPwr40wKg1DZHuA5FGvFzobXrY4y6NWRavsGmxUVzoZOU+FzE/iSsJbz+iDOiRJ5YM3KPpP2uE32MtjKc7wqxnMc4SGHQCcapNjlvCjZsxwvJAr4wqo3naFBnscSKt7AgYbAyInmKV3DOEPzYw5kYSoR6G7DQQkB3/fWYWdTTJmjnZroD7BhGzZhtsH21UZj3Iv3KSuQmMtNdWY2MaZOddn0TaPKXgaXxTFvUG3kNHRUlNnlgc5tlZZrIpA5aLyf8BPq1+0OaCYPa6qBxGzKRu2NydbhWMuUKXZeCWCXrrCLynaSjXcWXopmZmVUt6N6sh2qtXbRGahP3NkW3EA4++GB8/vOfxzvf+c7k9//1v/4XDjrooGW3B6xAU3T11VevaEctWrRo0aJFi4cO1q9fD6XUCCt05513LlhaazXxjne8Ay996Uvx85//HM961rMAAP/8z/+Mz33ucyvSEwFLfCk644wz8O53vxuTk5NJ8dRx+OAHP7iijuxqUJmGylw6ps0RmCJdS2erbxgdRMyBsrAF00tkFrKjoXwkYYyM5S48QmFXYTClhiEqvafusRTjNNOG29sXsnYmaP63jqqRCR3ayaVOMnqcoRxFrz6CYyUPKOpSMKgRIzApXOFMnk2Tlv2QgXWQzOwyLGc/ZMKEdO+Yzl+PrCuEhTE2GD5CSFg+fc/YFakQ0t3dqiyksu47sXvzVQ5rEbRLQlgUnnkjjRNpNdw6JkQ9ttAwjClyWqbYX2fZQGNmE02RhEUzT4H6UJsY/Vsr0gKsLFU5kxp9UyQ6opydb7JSCMsQI12nGZIwDf0Z4JggBRFYRDovxGAYR/GEcc9YwU1qI0T1MpZcUEhLNyjhNXiNDEj6XBmVpLgTI0msSi6YjkTGrDYAwYCPji1o8MIxedYLNmaJWeU0QoLYUuMKzXKWlI4L2u3DD72BQGp+wcuvmOS7kpVjPgyxvfxes8ggUAcmK4Oh8iZWAlks3ltbVxA4mDuqmIFp1JjIXCCcbyvg2CLXAYeQOWlhJjSEt5eYysvAFE0WLntrvopjXWYqXJ9dVYW+EyZ87r/yJp90DjrM9JPsR2iMNNN9BcYI8RwqmDi+Mq5TQY3o3SSY7lLELEbSZtK1O9A5SqPC90LpkIlWaZUWwbYWRoqg/dNGoNYKMk+P/f7CruhoXRQFDj30UFx11VV48YtfHH6/6qqr8MIXvnB1dzYGxx57LL70pS/hve99L77whS9gYmICT3jCE/CNb3wDz3zmM1fU5pJeiq6//npUlbuAr7vuumXRYi1atGjRokWL+4hVnD47/PDDoZTCqaeeeq9VH2ZnZ/Gzn/0sfL/55ptxww03YLfddsO+++6LM844A6961atw2GGHhWLtt956K173utfdx84uDS94wQvwghe8YNXaW9JLEZ8y+5d/+ZdV2/mujCLXUHkdvGWM15xo5b1KqAioieyFzQSsMcmFm3dq5PmoeaK1wpscRt+fyirMaid4m6s7MYMsZNy47XnGkbZp1o1bP0a60tokEgcQvJBy5c3xGCNB6xofQQcNgF8n0Q0FH5iGB4hwc+18eTMzjRvB1ayEgBRVYH+GyFAiXqRCRDt+MjvkxSiNiLwTaS84yAdIem3NOHSzGmWtQmRurEj0P3leQyvmY1PHbB/XyfixqhSK3Gu7smjkSP2nYwJSLQ0fJwKdh54sMas7CVMERPZQWhsYHccKWihL2qTIGjXblRDIoKO+LLAjvi+s8rH05nyBnZQ1mgjMFfOucsekEvNO7pPldCRgmo5UawMglPKorDPyozEykMlnAOE+HMKzFZJp6Qzrp0RqtMg1RI0BI38jWiZhQpZbE1y/F/bLmiOWEFJD2shASGGClipraHlMLXy2aTiAMfuN953KTNC16TgksLUvUeGzsEwtIbsanYn4PCqyyD4DTm8DAGWdYaizwKiYXATmt7YSlZXoSKfZ6cgaEyotWdTUCRH4OJKeKGQxekaRs3ZdzzTBpGyRY0A1cvIeY5lqEjro76gvmS9MS/0Px6Vq1FaGZ4E2jr1VJj6DtNLQdZol92DAD37wgyVrin74wx/iqKOOCt9ptujVr341PvWpT+FlL3sZNm/ejHPPPRebNm3CwQcfjCuvvBIbN268X/rexNatW/GFL3wBv/jFL/CWt7wFu+22G6677jrsueee2GeffZbd3niF6yI44YQTsGPHjpHf5+bmcMIJJyy7Ay1atGjRokWLxSGsXZV/y8WRRx4Ja+3Iv0996lNhnVNOOQW33HILhsMhrr32WjzjGc9YxSNfGD/60Y/w6Ec/Gu9///txwQUXYOvWrQCAL37xizjrrLNW1Oayhdaf/vSn8b73vQ/T09PJ7/Pz8/jMZz6DT3ziEyvqyK6GblYjy5VzWEZ0IiY32ZqYBO7AbJ1XDmcBup0Kk76chJImRMG9vPTOte4U7Ki6mGM6HQPBTo7xRS2j5oBnc/BsG21FiKYBjPq8sMizrzvosfIMCtHtmG8D8KKyvm0ZWQXTYLLoc4i4rBxhkwiZNCisDvoE+g1w2iNV5yFSE1pG76FQdsVvozSEiGUzhMDIZ4rElTBQCtA8Q41liWUqZkdZa5BnOjAz1kZ9x7DMvc+P1wIZCQjrPGfgzj9lsXWLOrhXu3aEz26J2Wi51x/lSvvsrpjRE1yfIZEzdiwwJgtMaTe1FgVjOpLSC8I5mEsqH+KzqiSL5iUrM9ORdcIacl8gaS2GnmOSvjgrMUeUUZahoTMag46qIRfIMCI2iK65oZZA4zdCZTNUQqHjdWtayBAODqzLYur6MhpapC7vpiGO4/eHgkl0Rc2j4A7dTebDsUbuuTD07teBjWTZfOOcmDNjguM1z6AMYE9158jst83Y8eTuHlJdf74rid7MIGjpSp2W4imYl1fz/8Zr4GgQ+laillTaqHneRNT3sGxBN55R32isc9Pn12hl0z9XtH0o5uqPjcqtRB8lk2QQKmEgVTwPQ5MFZq4yKimgbKyE8SVYSqMw0FkYc2vd34a6ajqA3U9YxemzhwrOOOMMHH/88fjABz6QvJM8//nPx8tf/vIVtbnkl6Lt27eHN8QdO3ag243pmlprXHnllSOlP1q0aNGiRYsWLe4P/OAHP8Bll1028vs+++yzZJ+kJpb8UrR27VoIISCEwKMf/eiR5UIInHPOOSvqxK6IyWKIrHDzyMF1GS56sFbAUH0cy9yPGTMBkCOwiQyA1DAyznsPNOOCrECh6pjdhcgakYF21OUYVrCyESkaFfbn1pTROdcIlxkEVgCWFcOUwsR5er+boM+QTocR/YVUjOqIKULUj1Qso6O0MtEXSVZ/SwoLqWwjOvPt5eTJ4rUMQkV/m1AXLUbSSprA6CQ6DF8/jTRFxNgpRiWr4FJr0c2qGAVnItEnJcVaC+dnFHROPtQXcrQPtZbo5nWSYSaYE7li7uZ03fTUqFZhru4EjYcba4kqklXBMdztJN3WFeoc9RQiyETjEbVmAJCrEpmNOisODZH4VtG+YrsmZbeMhA43SWSKJHNGjtt6phKpp5a2Isk848uA0WPk9QEZ6eqWCeeHBbiMKGWjJm8cw7nQ+AEY8SzimXSUiQXAOctblvVpFIbC+/4YGXQNFRRyYaC89jATBplRyPyxZMJgoOMzQwoFZdi9JRSSq4iSZo27rjtdz5AVEusm50OG2Y6qk7rSC4NeQc+GYcI4S9iELS5kHa5RykKksa+tct5acHqjXNaJpjGnTDSR6hDHjS0hl3XQFYX+WBHYHwPmD+avDdI4dWTtmDpLteaijq22CprpIQsrUUiNOqOMUacxqvOdoynaFbPPHmh0u92xJo033XQTNmzYsKI2l/xSdPXVV8Nai2c961n4+7//e+y2225hWVEU2LhxI/bee+8VdaJFixYtWrRosQgeoOyzXRkvfOELce655+Jv//ZvAThy5tZbb8Wf/umfji1euxQs+aWIcv5vvvlmPOIRj4CU8l62eHBjMq+Q5yIwF1xbUJuokSEmCYgskmBsRS51rHbONBihajZbl++HR6PEJpCGgyL+ZLtGVNUJ2hAR9B0APGtE8+eenfCb8mwQRa7YlMkEBch4wbh6R5Tlk+5bwh13RW7bImUdDKvs7SJJiczvqGZZRBIWvayK2hqZoWKZIJZluNH6welXproMa0XIPlLSwEgR+tccbwCJtw4Qs8S0lc4bxiNTJuiG7BhWIVwL0rtJk+cJ6yfg6p3FunIaU/kQE54dCAxH6GuqKVKwMBSZJ1qd1EuK18Nz4xW9cmLmDml4vB8OY686Xo9E0XTT1Zwzkpw1dJE7VYB3+reK9StoQ5AyhbzSOW1Lx0C/N7Pw4jEwnR3V3WLMINdgVUKxPojk/qIxDmMKO1L7bCEGg/t+ueOKrGIudGDIQlYasX1SRYbWAJDx/GRKI5cKmSbdXRbrpMkMudHhHnHMaay3WAkFKtNnrbsmp7pDv67FTGcQmKL5Mg/Mqvb166gPXVUhY4xjadQIU1gwR31e30zz55GJ1wfg2TPBnPiFTp5r3AU8GWdYGGGSZ0EFBW5qxj2L3O9R69VTZczMlYrpi6T3jPLnDCL4wgGUqaZQZTtHU7SaTNFyss92ZVx44YX43d/9Xeyxxx6Yn5/HM5/5TNxxxx044ogj8J73vGdFbS5baE1pdv1+H7feeivKMqUOn/CEJ6yoIy1atGjRokWLFkvFzMwMrrnmGnzzm9/EddddB2MMnvSkJ+E5z3nOittc9kvRXXfdhde85jX4p3/6p7HLtd5JdWDuZ/SyEnmGEQYGiNEugMTHoskouXphJsmmWojhoUiSkHEPI193bFw9s6DxsSnroQIrgITt4Q68lVUhWnPLMzc/D+5OHGtjcRdrpSzgNVHNOIlHV3TcRowyQe64GyyTsImHEeAyXwDHoJQ+m2Xoq4eHrECban+aY2ATxsQmzBBfRttzj6NkfYOgC6PxIL0MaZdoPBO9k3B+McQM5VKHSJ6OUQZG0P02p53XS78uwrXQVdWI51Ntow5iQsW6U1wPwcd66B3CuTaJL6dj49cZP2cUrdNxNj2ftBVpRC+iM3YOci52y4cmS/cDGeq3Ge95E9DUmBgxol2i7XhNssgS+PVYhmZuHVPJOuC1LfzYuQ+VGekHH5fm9RxqdnkfnXDcNku8mlz/o35KM+dmaW1gC13dOe2zHt05JP+gQmqXHUUspDZJ/b1MGQxDDT/nnTVZuKB2Mi9RqOj7ND/sBI8t2bEh2w3wuiYV79ER/RbTmOVK++sw3jPEtGk4h3/KDDOIXk0d4TPGmJ6SWDwaa36+c6HT71YnLN1C9dHIUT0+Kwy01f44FXJpwvVYWYXEBd5rJ8sx2r/7BW32WYK6rtHtdnHDDTfgWc96VijzcV+x7Dmw008/Hffccw++973vYWJiAl/96lfx6U9/Go961KPw5S9/eVU61aJFixYtWrSIoOmz+/rvoYIsy7Bx48ZVJ2KWzRR985vfxD/8wz/g8MMPh5QSGzduxHOf+1zMzMzg/PPPX1W77QcSU2qIIrOJVoKQJ3oDGbw4SuOqWY/zFhkHF2FFB+n4W4x2AaCjSmRSJ5lVTa8PzlDxWmek7/ErAUgriw9tHjQIUljkVI+pUbNIShsiI9eKhZakqxJJNorTsnDtiwwaA5jMe7ukDE8yVmz4iCUDPFPk90+fuYvtOE1PGNNGNlqTkRqpndRYn8C3IZ8SOr+1le435lvFI2TOPilpkLM+8AwexzwWwecJAGTmtiWdUWRBHJtCrufzGkk1+4pdR5R5RtH2UGeJdoZjSg1hINH3ldCb17SxMl7XImWLXB28VL8UMoEaTIqxwDyK0D+KxnlbwCgrpYR1DtwJM7vw+eeMEmmOABf9d0QdrusKro4gZaOlHmANV2WhUy8doWEa9zrdP8q6Y+M6tqaeaxwyod1x+WHj2VEEYvzcdWsg/Tkj53G6/yujwvWmrcBEXmFNx1WNn8qHrm2vjyvLjGXVuv7VrD5g7TOxaIwiy6mTa5lqIkZG3LPMcO7SSZ05AwzI30qY5DlALFx4orDzQmjWnSMYIQJbriHd/mxk5/jzkrtfh/EndheONeL7nZAVyp2kKWoxire//e0466yz8D/+x/9Ikr/uC5b9UjQ3Nxf8iHbbbTfcddddePSjH43HP/7xuO6661alUy1atGjRokULhjb7bAQf+tCH8LOf/Qx77703Nm7ciMnJyWT5St5Jlv1S9JjHPAY33XQT9ttvPxxyyCG47LLLsN9+++HSSy/Fwx72sGV3YFdFLyvRyezIfDSxDBSVZBAwngXJjEZtVHCpJtYoqRE2JlML4C6xaU0wwOkuXAQ2GtUTo8OZA67R4K66pIEhbVJlXYZGcOS1SJgNLdK2OOuUI1ZmV8ImEVSzxpYSOmESaptGW0k9tYYOJolCRc1YI+WzXiRrUywYdY/zllmIAeLrS1gY0dBEsKw2DqrFFbOnZIi2AadT4v2YysuEDeIPPO5UXCgds7msSLLKmo7LANKsMKbLURCuFp5MM8Hoc5M1mq0LzHtdk7EiMhJN13PP7ukwRibJCuPaJj6OoY/+GDLPKCykVUr1Uc7LRrHzFFlXmRzLuHuLMDTZSKV7bWTw68oRmVcDr/uj7CSvwUsquTfqeQVWyWoMbBbGjmcUNuurjaslGDROkphZjIyRFAaZEEk9Ralt0MDVVodzaKzAVF5ibTEPAJjJBthaTYSx4qxmVStUWqHrGRGuoQQca0v3pYQdo1WLGrMkS03F51cT9Mxt1nXU4dpIr3E6fj4WXGNEzvFNbVGzLqRjjmK/OSuvYZEpHVjPkFEnd56OdrWmvx4q2WcvfOELV71A/bJfik4//XRs2rQJAHD22Wfj6KOPxt/8zd+gKIqkFkqLFi1atGjRosX9hXe9612r3uayX4pe8YpXhM9PfOITccstt+AnP/kJ9t13X6xfv35VO/dAwulpJCDcXHLwYPFRb6wujliHSVWohQlRU2kylDpbsJo8AJZd4SPoJJKOtc6kNiHi68iaRdMy0f40NQ1SmOCc66IkmfijUJ2gZv+MTWuoKeE8jThLQFFlBxUyJWMGnKZMGTmybq5MonMJDtcsyluIVUiYDem2MZJl70Gwemv3zhothVUau25jsxG9TYiKZThnzfUyaRbVMdH2tB1nDcGq0o+wNJDQwb3X+kyq2C+DGLVLRJauI2vkQmPeOGZoe93FXcPphA3oME0J13oZK8j1BYDTrhgWbdcNdhRAYMUy7+YMILhcN88/R3ovRdd0rp1x7ctkKwgkzslhiZXoa5XUEtSMGXQ+OynzyvtFTtVh3abWj+2zizphULnb9b1BsnOai1jrTjUuRqXqeP8Jk1x/mTVBb5ZJg5l8HhuKWQBAT5UYmixhiKyJ7M58mSfO/HNGBY2RzG3wx8qkdjocds9yj6umBxSQOporxu5UiM+z5jb82RJc7lmdueY2zfp6TRd+OUabaeBmCQw5ZQtXwy+wS+TfNIbpul9gbSybcF/aeAig3+/jrW99K770pS+hqio85znPwYc+9KFVeQe5zw6MvV4PT3rSkx5SL0QtWrRo0aLFroQ2+yzi7LPPxqc+9Sm84AUvwHHHHYerrroKr3/961el7SUxRWecccaSG/zgBz+44s7sqpAwzgk1INViEBQsIDWkjVqbTJgQKdesAnNse1RbQe1y5mDE1dhncFDkL9l2TSYLlEFmx2RsCBMyMyDGZRlRtk9zVFg0LLxWhRpSAHSW+BfxSDdjPjX12CiZIr1xPkZxmbQWhrvWQrDacqNZgOP0N83jHGWn7Mh6zWy5JhMY3IdFZIMMxAgz1Px/04toe+WKLg90FjOKiJ0jHZvUvg7d+ONyDNR4vyHezp75dvTkELcOdwcA/HK4GwZ19NLpqmrkWq25Yzl41J36eDU1Ys3jTnR0Jq3O3sxSDNeN33eaJSbCmPDxcDqgtH8j2YW0vpWO5QoJUVEXRtc31wBpG5meAfKEKco9++bWSzUyTQfmlIlsennFay7q9TxLY21jXRkZPKRu/EnVe1ljSpVYl88BAHqyxGY5hdzXdBSC6YoEUNYKc6VjEWe6LmMt6PmMDNmRjnFM/dg6so5jxyohUB2ycSAtJD1DmtofOr7mNvS7RJpVlvoQyeRa5hmFAFAZ8l9TyJH6HaV/B1o8ULjiiivw8Y9/HMcddxwA4JWvfCWe+tSnQmsNpe6deV0MS3opuv7665fU2GoLnh5IGMg4LTZG4BzW4zRu4w+fS+e0yMkcUZiQUj7upar5ApA1aOBo4JY+WHKh48MjCHLHv7Q1haD+AF3/rAovP81pAm0lIAwWshdw+yLxuQYUIJkJH4diafe8LAXgXpJIPKutwCjVHpfxfbrDiC8oaPzRGffywrHYlE2yD9kUJ4+m7vMyAAu9ZFK7XNBNL0UbilmXDl8Xvj2J0lP4mciC2BoAClGjI+tYyqJxfprmhlLGIrSZ0FiT9QEAu2Wz2FJP4a5yGgBCseKCFRcOgm2aUgzVRWUibM0RDT2lkGEqjY/l4jYV7DN9FaMifAPBxOkSdVwA0/hjK4VhY+Re4lOYsB/31T9YZfQ4GPdSbSBj2Q/EKeRKaCiTxcSEMfddtDRwZScWS81vmh/mNAwm9pmmnGhKjVLyMW78hZv+7PpprUk5dN8z932HtNC1T8nXAio3MH46TRuJQtUhVX+gM3T99SJzJ7TWjZe6XJIYPb5cO7uT8S8Z9PIS79ml/6FrPquCQJ7GgD8ngGSq1RUvJvuQ+GIEuJdh95LZEMbf9wmXpcGiNW/0uO222/D0pz89fP/t3/5tZFmG22+/HY94xCPuU9tLeim6+uqr79NOWrRo0aJFixYrhzAjFkwragN48Kfka61RFEXyW5ZlqOt6gS2WjmULrf9fA0WB4f/CUfbVuIvTymQKiqaxKI6gYo4AiVHTyHCh06mETaKbykpAk+GdTdJGTTO1mk+lNabWCDn7zEWfUtjwXduUxldjWKOEBYFBR0aBNx8TDj4l4rZLmYIm2xMgAIxh8JiudCxbxn9Ppywa03BjprqoD5ILjMWocLSmkiY2Fk3lJo+8XW5HoJL9xDYzaUIEX3hxa5WUXdDBUDSTekHGgaYyppWb/tgz34Y1yjFFW+op3NTfE3cNp0LfMx5tWxmsJqhcTbMYK/VBCxtOTe0F2c1zzAXs3LiUX2OOfULYvysRE4+lGfWG8yrsyFjzaTklmqaPo2wfLwkSmTEJzb4TxiUqVPAFdT0j1REVcqlH+hX279kiACElnPbJr4XFWE7AX1PEvvpLZJzQ3YmaLabVfOhf0r4F4D/TjFHty8NoI2HZjTbUGWY9q9mrO6MFqxkLlgvLhOlUHDjeI+FaaKbiL8AoEZpC6uaxEkg8Hb5Tv4LVSHxeBNG3oCQYmxSa3WkMEWEVmaIHe0q+tRbHH388Op1O+G0wGOB1r3td4lV0xRVXLLvt9qWoRYsWLVq0aPGgwatf/eqR3175yleuStvtS9ECyIRGNkZU5wSDGpkaZRsqqyDZnHPT/F0Ki8LP4TeN6iqjkCHVwRC0j54zEkwjbjevc2fm5yO9XGpIrrsQZqT8QVP0GftnEtaIR2e1VaihQqQhmUgyseoHpcfLhrEc7YsJwOGj3KR7qRh8Ie2JOz/NKLkhJF8oemQFHZtoGgaOQ9OYkBsISmECY1JZmbBGHNKzGZwpomMlw0RihdZKHUoqUETbLKtBafjSxgK1vCQG4MZsWg2wf+cuAMBe2VbcUa8FAPx0sBd+M5hBv3ZXQCF1oidy+/GaKUhkwHh9Grx+xh9u5tmyprCcC9C5MWUTil030oowXokJIEYF8OMZFRHGhZ9DwxIVmutWUIH1WkgUrBbYb2ILIfOk+CkvWBzbYWJfonlsg+VsMEeOXXOfg9UC05tJ2KAF4/dGR9aYUfOYloOkv8QGQQCKRNfSOkcDfyylVsiUDppHIIquBzpHLjUmJD39jDtXKnwN4v5wDEz7E49TpBYgXmOUjEUy1inDTbqiJqhUSyxX5FmsWJEIHcasJzYgjX5S0V69k1LyVyN77KGSffbJT37yfmu7fSlq0aJFixYtdnW0PkU7Be1L0QJwll3jU0aVMNF2H5FRya32Zl++3IWPFENBSYjAzihhk0imkDVKk4UIZrEsqGaK9VBnSSTGo1BelqDJulQYTUdtlvXgEX2qDYrFRHNp7iVDL2WMUt2Iduway2zSjE1YKCWf2pKNKK35HYiMmG4wQ+PGOFuAKFooWzDNljJe3+XZQIjAFFVMX0R95xoTzjBRXydV6fYDEVhCflShH0wDZbydKODOpYEMepGpbICH51uwQW0HANxVz+CGuX0BAJsGMyi1QtezU8WY0gULZY7RcXNTyFj6woQCoOHYrABRSeOuDWLVpBU++4vt3zdFOqXFsgbH9X3k90WyNandqB3xx9nYV6IFazBhhMpIaCFigeVmluACRoPOciNqciQMuJbFscTEDKqR8cyYRQjXE05lJdbnO9CTQwDAFj2F7XU30apRaQwpDYyRsTCslhhWGaxnkhQrkVNb6VjvcJzu2tTeUkIzLRJd/+F4GXMuw3MyLuNskSsdkmbhhrG2CgoGzSLbhHH6JNIZSWtDSn7OyuFwcI2RsSLZd4sHP9qXohYtWrRo0WIXRzt9tnPQvhQtgGbZheb8f5ol5aNZgcRMrYIz1QsaI1Y0tWlil8Fb4CceHlET0vQbCt+9rkazfToWa+FInH/nZQokLKiERC50yspYC2lt9GExMbquDCB5FCys00IsYHTmmCw+thbaxgibxeXQYtScjo9fE+NYIcmjTb7uQuzBIpksTc0S30+zhIEEoCjattJl27D1eTkEvl8prGdJaJ9jWEN/nJWVvkBs1LGRP1SnweDlQqMQGlu0yzD72XBP/GboMlAGOsdUXoY+jDO/jP0czbij4w/HRtqnRiZf1JD5bLlGG0nmn0jPN89GS9pDqtmi7LbEzJH3c8yYL4Zwjm1k4dI+3LsOjdYbWu/nI2xgHNx9kxoNxueNTO4ld3+kbFEooQONCqNZrYGBFLEE0e75DuyVbcWM1xTdXq3D9moCVT3qB2T89URmjtpIX+zYszmsZA1p0uh8FN7MkcZtXudh3Y6tkzIqzTJCI+xZohOSI3qrxFSTjw/Ga+PGISm5Ql604/oBuKesGC3Pc7+h9SnaKWjtOVu0aNGiRYv/h3D44YfjoIMOwl//9V8/0F3Z5dAyRQuAMkeaUcC4bChegDBHHeakI2vkIyEZ9UaUARP9j2zCCFVj9AELIZM6zYhqRFEjc+qBuUqzVXKhg2stsT5BmxTcgM3YY6E+u3VcphxFaM3styZcJhZjB0K7NsnmAxD0Rk0s5uQc9rHELJGFGCQHpvuxIrmBmm7bhjlyd3wWC7EOdG3xfkZWRCceN+PKr3D36GYWXYh2jdN7Vb6Zvu7gDrEGs9qVD7ljuCZE9F1VoWBZQaXJRjK8Rr1jaL/KeeNQohVbx7mtx2tZhog/HHVYVwk7thQNX97sj2EsCdf6jFt3HCs07r4aZSYjKzuapSZHtGrA6PU3CpMUXJZgZXIamZx6TOyaaPhE1ONxpnrEIV9q9KTTqa1R89hdzaHr9WYaEqVWiQ5XNMaGvhML1yxrA7gstH4d2SBkAGSdFK6tdSyE25E1cstLo3C95MIu1or5OlEfeBkWrvNZrt4sYfrBnmvetys8C8dkxN2fWM3pswe7T9H9ifalqEWLFi1atNjV0Waf7RS0L0ULYKG54qYzMc/eCtEhq51jeD04AxBrpBt6m1xol+0mYxZEM+Jbiv5hHJpFTpuoxzi8jptYdVoHhP7xbSqrRpxiI9t0730MNdcgA8OUNRgS7n3UPKZ7q1nm9pH6C437fVwW3ULjRv1r1sgLLsyi6dXkMu0AjC3gyjOpErfrRQq+AibRSrkMIx0+a2uhfcS7XU9gaLLoUg6RsEPGysAclbpRgFgwd3HrjjZu576SkzLPgIvHtHBEHZf5DLxG9lXSj0bRWa7BS8/jwg9/rjcax9g1mbl4DO44FevDQhjHHiXLrYpMoG+zmXnFkWYXsmOBGWGNImOZZnrmQgePoGnpPIpSplKAHldS2Jh95rcX7P/WxntIGxmeZ1K5rEDyLaLriK4zxbL35nWO2qhwnedCo2OjpjEZL8/+cEf9hbCcbDDyWOPbEDPXdPF3B8+Z4lZ98lBE+1LUokWLFi1a7OJos892Dh40L0X77bcffvnLXya/ve1tb8P73ve+8P3WW2/Fqaeeim9+85uYmJjAy1/+clx44YUjheOWgoU0RU1IYUYjR4ogZO2jde9jJHX43MyIIBaGGJgki22RufXlzpeHzDAgZocFHxMRfxsTbDWz8Siay4XGwOSY1R2/qUzW53XSmpF/M9oayRRJ1tchIh05bpEySYvBuXGPRt3U96ZjMLBI9ClGs2D4fngGnm5cT6PMFfeTiToxwzJeeHaY6++o1ojGRo1k7gloUSS/cR2Ui/B5HSrGcsHC6JjNNVJbTEtkwm1bS534KnHndj3Geyrux1V5zxdgAZq6IF5TbZz+pMm8BEa0cUtLG71+crqfmebJJEyciMsaHkn39qxoXrPh3Bl3jkPl+zHX00J1tpIstAZrJAUShjEXGl3vNL17Nou1ssKcH5O+KVBbGTyHrHW1GgFACPedWCQlDawViW8R/SkRwqKXRS//suG7ViSaIYEaChmxkyLD0OsxJ1SVaC7dkY2y9PHz8pib5B5o3Ntcm8TXJW3cTss2a6LNPtspeNC8FAHAueeei5NPPjl8n5qaCp+11njBC16ADRs24JprrsHmzZvx6le/GtZafPjDH34gutuiRYsWLVqsClqmaOfgQfVSND09jb322mvssq9//eu48cYbcdttt2HvvfcGAPzFX/wFjj/+eLznPe9ZttKeNEXNSFQ2nKiNlaEGVDMCVrBQzO+nMlnUeyyolYiRFGU/5NAjkaJuRKfx++ixjM6/pwzROD+hcRkvsIbtT6Ljo87AXozxTgFSz6Pg7k1jFdx4R/fHNUyhLdJkjXUyTpmkcfoL3jdipZaiR1oICibRQzUzBpN9NFijtE+s3lUjcs2lCT5OQOrrpI0YWT+tAcbPiatDRbWwaqsSB/WRyvFMW8OXGyOQNZzQAaBk1eLJuXjxTL6mdsdVSTciZcUCBEYYM97fJjM04rzdqJbOP9Moket80NoIt0bsI9NLLeKQvpTrJ/GWclSn31bc67gtBU4rFe9Zpyly92xXVJAABt43qa87MFYgU94/SkWvpHFMERBrodG+6DcDEZzRm47hpRkdm5KydWFREdtolfc44sxxvJZrGV2zc6Eb3k6LQzec6Jv3P2eI+DPEWPhrcNT1vMVDBw8qpdj73/9+7L777jjkkEPwnve8B2VZhmXf/e53cfDBB4cXIgA4+uijMRwOce211y7Y5nA4xPbt25N/LVq0aNGixS4FY1fnX4tF8aBhit74xjfiSU96EtatW4fvf//7OOuss3DzzTfj8ssvBwDccccd2HPPPZNt1q1bh6IocMcddyzY7vnnn49zzjln5PekwjVD0z9Ii5h5wf2KxoH7WiykseHrhn1CjeoMxrAOrr2YvTUOjgHw2XI0D8/aXqieUGifMVTkx2SEHNE9KZiRDBK3XaNNrzdZKMpbMIuIO9vSPllNOs0cmcexXvzYOBvVXHe5mSxKjB9D97tNMv1Gtg8aLGI6mMP1iHaIPriK8QtlO/Eq3/Q9OPLaWGdsQddskr3YcVXoU9ZmPEPV0GsIC67TabqsGwime0j7rUf0PCZZ3nQsT5ax/hkrFly3iVRflDK5oa0xGOtx1hi/tI6eCEyhYhqnhTIoF6s1mLqk26j9azAvptF/XjNRCCBXqf6HZ6FxP6FxLG90Eycn8sjeNcchMJDs3FdGuetvgdNUaYXcPwOJNeLHttDzZDzDnN6zPNOvMin7rW2WnANX828ncQutpmin4AFlit71rndBCLHovx/+8IcAgDe96U145jOfiSc84Qk46aSTcOmll+LjH/84Nm/eHNoTYvQBZa0d+zvhrLPOwrZt28K/2267bfUPtEWLFi1atGixy+MBZYpOO+00HHfccYuus99++439/Xd+53cAAD/72c+w++67Y6+99sL/+T//J1nnnnvuQVVVIwwSR6fTQafTGfm9sgrSqrHaAM6KSNjke9NLo8l0LMQMhe2D59HCGgju5dPUqgA+yyZE1I1q0aIZuafOsAtlUjXBI1tieqgae7PPxiqgMWbjjqsJbVPOa6maAcC7czeqWTcxVvdxL8e/kPttsmxMG7EenP8O4TNqUo+jsD5nsjCqreLtKmFDRMsrodNyKdKIP2R3MY+i2ih/LhoMHB2u4Lq3NNuSswBxnwtF6iLZNsns4oyB72u8VlLmyWl/Ug1UUreNZSo1WSs+JiMZYZ6N4v49C7lTayw9E2nEcV3Ye/UyGukX+78UUbO1GGtkrEi80mj7gc0xZyPD2JUVelmFbTJq1RbyAiOmJPPaogxmZF2+v6bOMfi6jTjAp8wgz4Ac50dGdeSMNdBSLFhLrrndYswO1xE1M1mJLQu/CwljgXqJz8z7CoFVEFr7/x9++OFQSuHUU0/Fqaeeel+79pDCA/pStH79eqxfv35F215//fUAgIc97GEAgCOOOALvec97sGnTpvDb17/+dXQ6HRx66KGr0+EWLVq0aNHigcAqOlq3ZT4WxoNCU/Td734X3/ve93DUUUdhzZo1+MEPfoA3velNOPbYY7HvvvsCAJ73vOfhoIMOwqte9SpccMEF2LJlC97ylrfg5JNPXtHJpyj+3nRpxo5GFHzOOW9UQk/XS517m6xSslyIOHdvzaLRjutPZHFixtio1oFnbYzLyljMMZr7ywCjUSKfv2/qbBYbk4W2W45HyKh/zyhbtBpZI+PGa6E+5lIHHyoDgcrGjL1mphz3S2o67iaaEeLS/ObajjISnElwLtv++mTZhLWPzCkbrbbpeecM1LjjG2FEmzqmBmJ2VWQym+CeQMQacdaT35vOLyxmn41lI5vO2YiMzajGxLMiC9RMo/Y42zOOUVrM9Tr05l70Tc1MtMRPSpjAGoV1bTxPGjJec1ai8uzKnOmgb/Jwr61Rfawt+theONa8XxXJ/sae88AY8uvReh1RvM65azUEYk09X7MxMJf+GuRtLQUawtVI9Ix5ZRts9Arv84UyAJsO+IsxdS0efHhQvBR1Oh18/vOfxznnnIPhcIiNGzfi5JNPxplnnhnWUUrhf//v/41TTjkFT33qUxPzxhYtWrRo0eLBjNanaOfgQfFS9KQnPQnf+9737nW9fffdF1/5yldWdd/k9Mtxb5FdzT5XrIK9ZAyJi/zTzCmXfREz2ZIo08o044p7DFmTMA28vhDNe9P+DdSCUdRiFcPHMS3j1gl9Z1qrJttjoIJWpemlspgrrWbHvRxXWWKfFvImWaj2Udg+8akZzdbRdjxTNtL/pns3dxdHZIv4uQPgtUgy9GWkDxjVKiXtsHUldMxkEwgsQi40jJXB+4V0OdHHaGEvpHFoMiSL+e5ELdYow9fMTOPrpuspGKZ14q7Y5GHEGSNSv41jOzjjsyjTs0jG2/j1x4/BOH3TYnX7HLgmK70+g94I1t/z7juvT7hDT2CznMS0GAAANmTbsf/E5sDibBn2sKNyrFHlq9pTxpkQKRuUseyyTBpkYvR+idmGC2fGAinDk8k0o8xYObYGoIJ1LFjYbXqvj6t5uFAdxKWAt8F1gfc72uyznYIHlU9RixYtWrRo0aLF/YUHBVP0QEBbEVgiw7QDzchnHHh0qY0IkWcmdXhTV8Immo6AZv003m5w2WUsE7EIDcZhscg8YXxEZEkWm3tfbNlYhmnRiH9hl9imx8pC2WDjNU5qQTZoXNshmwb3otFagDniXj0rgWN4FvYJGudSPtJPS9mKKXMYPt/LPtPrxCCn/QQWIGWOVoqFsjCVsMERXnutTOI2PVLzjbFczPMm9RWTMCLqiojRSf1waAyAjqwX1UstjsUyv8Y7vBOabMVC7IZje+TYZeP237y/K2JlbWRvt+keclFDK9fu/9/euYdZUZz5/1vd58yF24BCuAiCksS7qKgR1KhRQXw0EHeNuonAEy8PCiJiNsafGhU1Go1EN14SXReTbHyUZ5Ws2cQLriKrRoMsPqKyXlYEkh0kGgS5zMw53e/vj+6qrqqu7nNmGGbmTN7P88Cc7q6uS1f3OVXfft+3GrwS9mtoRn8/Uo4+3DkEf9o5EADwWWsDPEGoi+MWyeuuvM8MpchcF096kGXFKdJjT+kehDK+Ur3mIdkaFhAYnr7ZdmwhuVU+24vPJs+7NCsvPZbR7kQQQeyiofWunv+3AA+KMmgJCgiDYuq1kfxxyJNcdYNPaPI1QmvABF8FG5SvBozlL3IGXsp1P34FohbcrBC8sb1LEXSErABpQDQgSl87X/tiDFKG31lfTK6Aa3nycLWGm5UwBibaoC3vema1QR/MZBn16wE57QGc/erPqIdjQGkPqgLtR0L/UZE/OMpt2jHYtAcsWa9f7TABgHso6cGD7yevfsth8kqs0qKr5oA33W598di88+2Ao1nL67jKTZNnYJ7toOGsn52XChhLRj72sil62hL5qkqeCPHXoJ8yvO7v70SDV8KI4maVVi4H0+CXUA6TCYerv7PCNWS98tIJtIGubgwfwgwKqwfOdfW3fv8GEGoA5RM507ioJuBzAPMat4VdZGgdIm8MXn0eTC48KGIYhmGYHg4rRV0DD4oyKMfBG21xIbBm1G7k7B+G2lMC1OsJxMbFciZaomixU+P1T5WvK3z7dVpu2kQtqGYJi7zXSvZrN6dyg7Q6ZKtVRggBTWqvpn5KwraWX8lDBjw09nVwChXCTykzeQbdufXSX4HZ5djG1xq6WmRcM0daPa88A9FcZUdIBcB9zYzlK+AZKlNefTwR1ciTpXnJzL6aZyHPKBqAYXytn2PfD3bIA/t1lI1+b+v5VFR+hNsgPki91jT7ynYD11+vRiEXzFdESf6J6hItAOup61si31DJiiLAkLptAKLXiyXykzAAFZRyQF+yJrCefc/4bPeZbQxfCtpjyJ6tBtn7dHOIjirmUgWt/HvA1BI8KGIYhmGYng57n3UJPCjKQBpaS+zZQDW2OdKIUF9uQM2aUwtamvZAea7pQPaSF3nBFqV9TnsXOVXtsZQFexFYfTabpQzZpA0fE3faatQcWQfbID6rHEALHaAZwAdwBxCshB4sL4zz6AzbpSz1IVV+lj0RkFINZf8ZypamfFRylzbLMZcOyU4X3RVZs2l7qQx9odQioGyKshRae8kIF5EikdTXXgZFD3CpQhzo6NfIUo6ynBr0/GS79G2ZV/RXpFQ723W8GiVTOiZI5UiqRr5DuSwhsi+S3zMtVEBRBOqZCCDQ4EWBC0JfYEeYBHMsh5ENYJ5apNfftnvSMftUVzkjxwnVtpwgmi7FSTfCdn0n6HZxWUbZrrx1G0dpX7orDgjtohMjWjPZsO7HMAzDMAwDVooyqfSu2O0KLI9Ff10zSH1RRduWQV9ktbKa0/7xbDU2N9W6pLpc7LM8mXT05RMyj2dMZlxLLshyXEs1ZKG7dUc7tBlpzozRxhOhGSxP3RPx8YylOXLrlLFPKlnS7ixr2Q+zftZ+SpYNUceVHZRVdifdX0kd9IB+ppebPpM366x5YIpoO/O+0hQRl1KnLxkCa/YfucO726Rfo5TSBuTa8KXCS2joXoSp0BOW3ZK+5Es15ShVCmGuXVkJSTBHPyxABiOVyMCd0l4v7/nK8qqTeeS5x2st0Y8aR+QCwEnfhqZXW4bNUFZZ9kLEWUvNRGm17wfN0xdIv1HYnQjqvIjWvCBsNjwoYhiGYZieDi8I2yXwoCiDsB3Kg040U0tibWTZOshFDBUqoF5Svp6njr3UQ2dSKSZQ5nFtJilte3JtiWQsJ8vmwg4SmL3YrkMNyHi3n23jI22BtPOs5UBSZ5C+wK4fLzEQH7PitwTwDfWoWg83PWioPFeVLwSKXmheP3LbPFTjVZOpMtleVw6kmuRasDSrHGkz5PYQyrFNAim1qBKuxZWN/AWMGDYFL0iUMQpTHoV5XoN5cbRsKqm/WTZ5UZ0t7zPdy82y+8uzK7QDp3rqGfDTHlpavKiSppy7nrNsDzP5XCcL+WZhxljyU2l12x8fQi1R48VLJNm2adV6Ltp1z1Kjs+pczlGZmNqDB0UMwzAM08MRYWYUjHblweTDg6IMKPYqqDYcPKBHdTXtFdzvvmXofvcSG9JOBUgWdlTYNgdWrI2sGakr+nEerhmyYUsFux7V2ffY4fhtZcg105Toi+1Wuyhp2r6g+vg8gMM2TNkMEcr6OeTFsXB0+5lEtdE93HSPJ5W2CjuekDy0BslsVqpGiXql17OjS1dAnZev3tieb3EdhStqeXV5AhlxZrRlQXSqteewvZz0axJFzpbXKrJNcim2mXm7nhPHc5alONnXw+W5ad9H0iYvz24oVb6Vr7kMiRnjR3+GXUu85HmT2Yv4GlD2/Wgu72KqfcnnRD3VVSMASjmSeQVa/dtDlqdx1r1A7H3Wq2DvM4ZhGIZhGLBSlEk59CHCPI+E5LNSCgRiFcGeaWjpNA+YVu39dcpuyFivR6gZbHSuGTHYro/9fj2LPNsDwPSQSXlvWPYPzjWXHNjv+aUy5Jpduj2y0rPbbJL+y1OfbJwqoNZP+jpPcrFRALHCYPapr2JUmflJhSlrEdA8Am1B01IYqxvGrDqJjG3bn9lqRXts03IjYOvecNBi5Tji70RtTkcfdqlIlZSaaq+ZbmcUajHC1LOi2W+F2n2lK7au8rLjcXkp79JKVBPbK6UqIYm67yor/WwmSpCRX0odybftaw+6KhXFrXLbBXqglFqkEOY+D6TslKR6nLcYtH0fpco2FHD394/9PSUpBV30TorAwRu7AB4UMQzDMEwPh9c+6xp4UJRBmTwIObvJGV6HmheZVA5cMyD5yVCNAGOG5msqhG6r4gmCT6TNYPPX9nFF7I1LV+pBdE62ouSyf8iLWG1Hk7bjgLjOk+myZmeJ91WGjYLTyyX5m2vbAFiKT36sH08k94K+ErgnvESBiPtft3EIHaqR2XZt22HXkYU6FufhUjd8a+ZdrVdSZpk5aoHuadde9CjKZp06plSk1w1L24TYsWcStSE0PBB960ekFSLVj/aq6VE+BFDStsqqpkmWHYyuHqfPSXtg6XnZ9UzZzlSwG7I9P2X6UpisO2g/xykVWPMqS62v1w5PPqe9Z3tuP+tUl9JdDv3UNXHVr9xVa5+xTVGXwDZFDMMwDMMwYKUok3LoQYSmvYPEnlUkMx9CQWSrL4YNiStCMkzFoujFayNJxUG9l8+JwQIgDAvGLEyuDl7wAhQRJGt0xTFusla3N/J3rHRve6ro9kJ27I+0d535Dt+e1bqPVfJaStKWtTKzovHKOhS8MLvP4j7R+1jOlAtxa1XMIJDaByC2MTNtVUwvQbNMfS25vAi8OkpRpPS96ooAXm2cGFf6vDrJ6N7ZeedHOJf5Z8XKqZSPy+PTtl3JUp70617NWmpGuUhHONbR1ZVKalE1doBBTkyc6H5KRw4vWSvTu3A9s3p9dRXbpXJLtaQtrOInRXr2OdpiXwPTrtJUkso5Np+ZHm4qn/R+m7L1vZUV7X93xYxLYXZvx/NgcuFBEcMwDMP0cNimqGvgQVEGulJUMVZJfJ8VRIhQmMqRmc6cpRlxOKz37J4ghIFpq5R4n2XbOYWarQkQqUNZaoEds8iOPZRnN2TP6u24IFGkV09t6/kory2jbLdaVbWNQawG5UUC1/Mi0utr9pmhjsReS0n0XEKdH2j5pSPgupAqoeElZp+X8gxyK286kcebOWOWdQ0tBSkpN1utStkxUXXpshSMavovy/7MhX7NXNGHjXwz8sqLhVWm7K9E3QbNKCfDds24r5TimF1fXZ3Ks2NM1UuqKRDwHDYw1UR2tu8vW2kueAH6+CUAQL0oIYCH7eV6AMDOoIgd5ToAQFvooxx6xvNU0BRST2R7mEk7LPUZMBVQ2yYvJ5+8+64cpp+J6u5Tt31RlylFTJfAgyKGYRiG6ekQOsHQulNq0qvhQVEGAQnlfZZlkwJYNheWPZFtI5R3fsGLFSLLk03lQ8IZj8Oeecp3/4XYHqkoAtR7ZfXZXgk7KjPKrwRfxUCSdhYuWx+5bXufhJaKpHukGDO5uD2VKGvXPyk3Y7am2fVE18XsF332Wg49CEEg41pnqHtwKEnSpsgLjFlw0QuMa6/b9Ljy9QVZalxSXpl8Z0Rew7tJO8e4D4RM6xvXRF0nrSq6nYg9wzbKrWI9qGqiP1dDNZ5mtkqUro9rVXaHt6JtD5dTdpbXVDUxsJLn2b0GmIyObh9zry6fbVeVFauo0rn2+boNVL1XxqDiDtR7kVJUCgv4S1t/bGrtDwDYVqpDSxD9lASxCiO07zX7e9Eos8KvdNrGKNue0n42nGnacY+66qY/I3qstS6Bvc+6BPY+YxiGYRiGAStFmZRDDwgTtYMyZgOhMatzzyyytj2R2KoktjbSsymEHLPq6/wA8SxOi32kz/AKIkBRhKj3y9p2rFxoypPE1+Iq+SJES1iMDlDk3WHbEOmzI+n9USYP5dA3lJ1KM25beXF5OaWVC+GY4cuYIh5IU6s8kDFblWkAoC0oICQBP95fFAHqYnVHz1ti20TIz3VeoNSh6FiUTl7volfZ1kj2WxTpWfZPpObo6oU9w5VtkddPX4XcVo+qiXfkWwqSrJOsX0h+rk2HfV4emR5Q7Zhxh1pUbycZ0YftOtgejrmo5ptqT1bMID1NtOZXZZvCZFveO+nV4rPK1GNpVUMqir6lgvbzWwEAg4rb0SDK+DxoAABsbBuA5p1N2NoW2RSVNC+w1D0SP6PVeNbl1VFd6zDjezinD7I8X9tbNhB7G1r5umyUdgshUvGVOpQHkwsPihiGYRimh8PeZ10DD4oyCKw4RVlr5wTabDWw7jcPZChJgGP2IbO1vC7KlERKjv66PW08EUbKUGw3VPAiGyJdHZJ13BHUGTFZgMTOSFKOj7eGBbSFBTULlGqQ6918SJHNjlSKymE6voeymYpVoaxZXDVqkDwWhJ6yYWgLfJSDZLvgB6gvRNegoViKbDZkLJWyj4A8VaeCCJVSVPCieDtlbc23ttCcreuqkh6npjWoQ0hCs+cK1Wcg7cGVR0EECNS6W9lxnlwzcy2VsS8/RlHas0vuT8p0TzOd9kXWfZIZ/6pCNOCKsakcU+f2xLOqFJvJ3m6vp1E1tojynjPI8brKIkttspUOVxpfEOq8svoeaSrsRJO/U6XZXO6Lja0DAACftvbDjnJRPWvR+cm9QSTUcypVQ/kU6LZ8QLbaKOsp9Lpn9INLxbe/n/Q0wvIw1VVlPZ1e5zy6TClim6IugQdFVeAK9a7vsx9KoQ94rGOk3KXNoIAFL4xfWTkCNAoYC8162kBGDoh0w2rd1T4gTw2EdgZ12BbUqQBr5dBXr3wk5isxT9VHbuukpG3H4AWIvlyM1z1h9g95SEINxOSgR32xhp56puUXbxDL6WHoIQg8Ja8LUUBrIboOrXW+cqMH0gaSrUHyGBT9wBi0lUPPeD1Q9sspg1uZtiUook0bOOa9JpTXvaB+uEIVZNPeDgXBI3NAkhVc0HY3l2Xr+Wa/vkoPvrKWVTHPs5+P/FdXdr7tCbuQt13pWNVlGgPB5BV3NXlkDlYdoQ6SBWrNV+eV2mGXpz9/hlE9ma/59AWpXUsR+SDDKUN+b+wIGrGprT+2lBoBRG73QPSsyHKz7ht7QAJUHmTo5+v1JKKqBsHOQZJlBiFfnYs4RIDeFzqeIIQZgx75TGeZVvRkjjrqKPi+j9mzZ2P27NndXZ0eBQ+KGIZhGKan04lK0YoVKzBgwIBOqFTvgwdFHUBXEgwpWCoE8bbL4DTUZpJE5us1qRbZFOLXMAXj9UaU986giBJ5KIbJUh66K3hIngrzv71cj23leuwoR8bUO8tF50xO5m8oMdIgN66v74Vqpuhb7twBRQqPfo3yZHAigZJUpAIPpXKsVgU+wkAgDKJjFFrGwCKZdVIoouMyLQFlPzrW6hfhFUP4sXLkeyE8j9RsMQg9tAWJ+7rvJYUEYaRcye+ibaIen/uRwWmfYptSloDoFV5bUEApzivQrq2IZ5Uyb98LUfQCdQ3rvECpWXVeEAXdzAgWGF235HM6OGe+quTHr1Z1VanS6y47xIKLvFei1dBuQ+sO5tOuchxGwtmvAs1XxnnnGCpiHBy0GgPgdEgGK1iso2ryHH0JGhkioDEOyNjHL6FelNTSQrrCvCOIAjM2xGlD7TU5AEMdDSyVkGIVyX59pbfBrqfE00JWCEGGqYLrvGoUG1WGFjrALierTmSlCUkAIv9e7FT49VmXwC75DMMwDMMwYKUokxBpN2ggMaxVMzUkMwg5Kwr09NrMQwhSNkYkCPBCSFFCGifbBpgyjzpRNox25WytLfSxo1SX2P5YNklRIMDEGLmlXERrOer21lIhssORsyHS22K12yN4HqEYGy8XCwHKgZxtRWkC7TroMy5dcXLZAoUk1JImYdlTyhACASp7EEFSPy0SAeARpIeuIAChUC6nQnPdJZ9QLhCCWCmCT/AKIUR88T2PTDswwDC8pDBRqwBAxP2ypdCAgm/aZAWhUAaoFArjegpN2RJeNEMt+KG6nkopKpRR1JQjPSRAlh2LvFfqvMTmKTovzAzeZ9hyZQQxdNnQuILl2QbyrjKyaE+aSqEeqtnfWcbSefkEoZf5/QEkNoWyfnpQ0DzDalvJs936bfu8TFslFYpB3iuRg4ZvqNGJTVJRBAi9OO9CpEa2BEWVl/zeCUkYBtjk6LcsJd2+ngGy2VXBI7FZir4yqlHppJG4aSje/vupw7BLfpfAgyKGYRiG6eGwS37XwIOiDLKCjpXJU4oQAOtzlEYqJ74XzfBd3haeMJfbkLM8OcsKIVCKffylitSnENsGiFCpPy1BEdtKddgWB1LbWSqa6o/epjBWsspxGWUPYdlLPORCYczAhACUlCUIwieU/OiW8fwQXqxyCKRNoXwtcKF+jcLYQ4w0ZQiUbItAQMk/AeAFAuryhSKZKQkCCaGutayArhDJEykUEGUB8pXrDQKfVNuEZ9li6J+lOkXpfMse0CoslUlT2/R6pRBRuUqt8kN4fmJvVPBDeJ60gaKU8qarNEKQshsq+gEaCpHtR50fxPZJZuBPnawZspz96wqNywvTea7ljeSyy8hTk7K8sFz2e/o5uq2K7mbteo7tvF02Onn1z8yrkteVul+F8kSFHeRTVO+GD6S9P7OuZ7Q/CbWgp2sNC9jqNZhtiY+XycfOoGj1qRkywL5mplpk1lfaOCrVzCF/uBSm9pJS6SHd75NjvhdG39NItnX0fozeHph1tJUjpvbhQRHDMAzD9HTY0LpL4EFRBsr2xZqxSHsYObvRZ+0AjNgzQDRDkdu2B5YdYwRIZlGlwE9sU9qAbX59siyFZlsUkIeWUhEtpcROqFzylfJCJJRaEX0WgDwWCIgQahsECOlhIc+RSpEXfZYeXVLpkMdsScRQXyj2HAOi8jWlSIQAQqHshkSoqT2h3EYKpRLlTtKE+p8EIMpSKYpUJpWXpzXYladuy+RQjNQu+6+WxgUJIIyvYRjbSMlz9OtnKAwwvfCk/ZbsC78YoqDZfRX80LBNK/iJF6PvhZbHW3qWLGPS2AE5jXY41J8s5MzbpbRKKqk60XnmfiGSWT6JyKtTt9EJLDu37HxFKq0dbDBLxanU/mgZmgjbA9OIWWbFDtPrZwd5bY/Hmi3plqmg4pLJ+uvxuXT0OGV1nhnLS/c+k+2U/WN7o+m4bIb0OGT6344gPXuFIIj4effiuutximxVMSu4ZGo5IhFdr2riLnUKIeV+n1SdB5MLe58xDMMwDMOAlaJMWspF+CUZxyfZT9ZM116g0PMIZbl8hB/CFyFateOaQKHeZ+t568tWtMbqTznwEqUFMOLzyPMM762yp+xyIjVI2uiIWH1J1CChe2wZiohVYWEF5xaRVxcQKy2+OQNJTfCUXVB00NPL1JQPQxkKhVknpCdKqXIyJpakK0DC2qacdtplGvUR6fp4Sb5GGTYCsV2UVielFJnBo8kuRI/XRFE5si+CAqFUiD7vjBUkZatUDFAsBKgvRlGL6/wArbFSVO+XUecHhgpSpiR+k77Yro1L/VHNtLyf0mnTCov+vFVSX/T6KjsWL1ReRUBlNcWMHm8qMCGZdiQepWPZyPbqS754glL2J1mKgvQe1Jea0SOdR/XQbHhylltx2X4lx4WxaLN9LEsVkTZiunpkR32XMYRkfDIVNT7MtrmxVULXmx0yjmffC/a1FYLge8ln2RbpAarbn4XaQx+EnoozZtfHj2Ob6Z6ptrfdboVfn3UJPChiGIZhmB5PJwyK2mHA/7cKD4oy2La9Hh41IAw8UKjNUqx33jrStkPIGYoXGsqQK/aP8j6KZy+kzVik+hOUfFDgqalvKrIzoGY60kZHpjW8twIBEWhKkVRlNNUhU4lxTIbC2JuLigTyRaJ0OMi0E4ptnoReh1D7rCkztmpkVhQpeyBb2dI3clUcO1/9zNR1d5zjqoND0SIhElVJt2vKO9fKRzoUqWtfJqBgKniBVPTkPaHZWujoa7zZqk+lmDwuxUfissFJlIRsL6U8pAeRvK08MiOR2wpVVkR1e58dM6gadI8zw1tP91wS2ddPqjCyzIIXKjUost8JlXdhEuU8sRNLyoxiI8l+TKlBEGZa7XghtrUx1k6L29UWFLCjXERZWDGsDG80U/HRbYKyFB6pIlXjYWZ//6bt/qyo+UjMZ/SvLlk3Za9pef2WQ0/FXwvC2FNWfreKKFZbKi7Zzo7bPbULVoq6hJqwKVq2bBmEEM5/K1asUOlcx3/2s591Y80ZhmEYhqkVakIpmjhxIpqbm4191113HZ577jkceeSRxv5FixbhtNNOU9tNTU0dKrNtWx28oC7yigo0uxvNHseG5IxdDjUtryFnvBulFMQKk3L70myZpHdW7K6Rit1jKS2gpJ4gQDmrpVSaHPUltmtRE9wgrbxIu6AQAggJIo54q5xdNDsivb4ihFsZsralimW3TeVt2/pUUlTsY3kTPDvvjlCpPrr9ktASZaRVn73E5kjZExWEmR7Sa41UBG7hR2qkjCZeKvtq9k9txdjWIim3Gs8miW57l4r66/Auc6kDusKg6m9hxADzybkWX7TGnOl1p9vI2DZONnqEcPO8tH1PVh7lWImx1wfT45CVVSfGa43FtiwtQUGVH617GBp1l2shZtUvsTmy5rzGMxIC8AzFSdYbAMqhj5Yg+nnYUS6ipHmYuRQl21vMZbOkPmvR7Y107XnO7OddQ8BtyxbhIQyz618OEqXIXnsxFYMMkWof7mxHvXeFME8qb08eTB41MSiqq6vDsGHD1HapVMKTTz6JOXPmKFdLycCBA420DMMwDFPzUJi8A9+VPJhcamJQZPPkk0/ik08+wcyZM1PH5syZgwsvvBD77LMPLrjgAlx88cXwvOy3hK2trWhtTfzDtm7dCgDwtvvwQj/tHeVSKAxEthJhKx0wbXakCmAkkIlCU0HR4/rYaktkV6SltVUkTcFJ1UWzcRHaZVNeVXrbpLNPCdE6ZXa7tSbkqT+mx5lVX+2vYV8k84GVNo+sSamt5mUccuHq/mozIJEoPk57KK0vZDrhxWYBYbIdGgFoNDslAZDWiQEJhGUviS8FTQmM7SXkMSFIzbjVtrTfyVCQ7PXtgHiG7lJVNTuNpDIw9gnLTkSf/Xte7LFViDzp7LXiXOqKrork2QxlRvlWEpz7h8UVW0ja5ZRjpUX3/lLrFcYxgKSK1BoU0FJOrp+tqOheqwWRKGTSa82IYG7YHJnKlctrzGVbE3lyJRH4ZYR13TtN7+9IeYnKl3WX6pCelsK0Z6+O2fdS+UyOCS2dfn9KDzFfu5d1iAQC3Q5MW68wiCPuA0BQ9hGUvCh0PQCU47cGxvepAHbmrdLG1Bo1OSh66KGHMHnyZIwaNcrYf9NNN+Hkk09GY2Mj/vM//xNXXnklPvnkE1x77bWZed1666248cYbd3eVGYZhGKbjsKF1l9Ctg6Ibbrih4oBkxYoVht3Qn/70JzzzzDNYvHhxKq0++DnssMMAAAsWLMgdFF199dWYP3++2t66dStGjRoFv8WDl2eHrk9wM5QjpWyQI52VNkqgHXJ4q7jscJTKYisx1nYWlsag1B+lYkiFwrYpsuxadKWDhKWoacqQXlfVJtvGyGFDJNPadkop+yho5+Y1Wk+6K84jtrrjyN84btkZ6ecoB5v4useLlKdsrhAmCg/5UeycxKYjUQZECFBZgIrxsUIIeKZZgbrNPELoh4lS5MHwnhTa+muu5hG0mb5WnzCMGpb1XRxFJU/UH+GlFQCZzhOkrQeXHfVZRhrWKes3LPLXFqsmoraeVilQSCtQiUdZHDnckU859I2V5ttCX8WHCkIv8iaTSkYoUA6S+FGR/VSiiPhajCOXQiKVq1IQlWHYz2ix0GzlJbpnYpXLYZdiKEWa8kIEhFo0dF0dothr0bhkSgmKzYZ0T0mheQlq96bvhfA80iL+h854QvJzEAqlkIWhQKnsI5AeZ1IdAiKFqCSAeNsrR967tn1p2NJF/kpsU9QldOugaM6cOTj33HNz04wZM8bYXrRoEfbcc098/etfr5j/Mcccg61bt+Ljjz/G0KFDnWnq6+tRX19fdZ0ZhmEYhumddOugaPDgwRg8eHDV6YkIixYtwvTp01EsFiumX7VqFRoaGjBw4MB2102UAM93HXBVzPxrKxZOLyy537afkcXkDehthcTlzeWww3Hlazh/aMoQeTAWJ5ITRZey4bQhyrkG+ilmAVXU3TpmKkWUrcq5MCQybXc77ILM8+Q015GXw2ZI9+6LYgrFB0MYEp5S3uJdgjQbI9l+lbdQS6hREOffJpWiyO4rKZNUmVQIAfI026UQwvfg+dLFUIC0BugxtQCp7LsaLtPDSGse0+2WEnWo4IdKGbKF00Da4JTTX2Gu9bMqRU6265mlSPiaLY207ZG2NgXd4w1u76dq14dL6kPWyu2R6uJpjZC2XELE6zXGdmQy9pnL9gdA5LnnJ9c31YcxRAJBIFJrlbmuqbzWtmpo9InqF6SFD/0+h9AOk6F8RflT3P4ofnko1+kTXup+0++FcpAoV2HgISh7CKU6FMTqUJQRPGlHBMArQ3nPAtozWU5dst0Dvz7rEmrKpuj555/H2rVrccEFF6SO/fa3v8XGjRsxYcIENDY24oUXXsA111yDiy++mJUghmEYpraJ3lHveh5MLjU1KHrooYcwceJEHHDAAaljxWIR9913H+bPn48wDLHvvvtiwYIFmD17dscKk0pEe28iW9nQvcZcdjbWsUx7Gi1vo06hma89i7HzSZ0Pa1KvKxcONchpN1ONkpKlppG7/q5j0XnkPq+a/so6JsxrYMwyc9qW8pKTNgwZahoJkSgx+nW26+coU028/fifl2yHBVL2R9BiXTnrLmCssaauX8kDtBkvwQcJggzRIuoDeAVNtbHsfYR+g+qfXPZE2jYRQCp2T1QnaddUdkR8T86LVAS5JmAYiiSfQET79fX/dK8h/eII7Vroh2TbPEBJbx7B80N1HTyfUPADFPxkrcNCBZsnV/wm+/rocXOCUJg2OSmVzVS1dC8xIaJ6SIXHLjvQ4ybFkZsDza7IiEqtXzrLo9CpGCobonQaoV1zw8NVe54plGXG/Vt22O0Y6pNxVQy7ReMepGg7Ua7jtHr8OfVdJIzvb6WyJiLYLi9az/Q8ampQ9Mgjj2QeO+2004ygjQzDMAzTa+DXZ11CTQ2KuhWHwmEfU8cp/Rkw7WWcCglpE9Y81cguw66f67iRr7nTSJOyr7F26IpRlopUAadipq4DZdtdIaO9AEBktiPv2XfUVwYBtT3E9P5I78w45rAjIg+RhYScQcd1tye48q822Y62pe2PD4RFICzGalABIJ9AhUTNSGIfyam0MDaTa6/NqEPhuK80BWBn4lcVSjVKHnbF1tLalFJe9HMpUXtc6N5x6ejw2qYeS0x+ttut1UmqP3rd5LGU46emKoTkJeqURwg8HyVfKkehEUdJ94CycUX9NmL5WAqY/sgKARWl3Fw/0TO8sCL7LNMw0o46ritQYZj0MWl1sG20kgun5UnWefo9Zj0fyX3tsBMiLWGYlCPL0CP1w/psxmqzv8jgptJ3lkhU2eh5JXWSCONsq/ze22VCy3W3w3kwefCgKAPd/dsZDDHjlZjaF29n/lAnCrKxr90/7Oam9shq20Z97F/i/DKVcN6eCUY7XqdlDuqMY0nhWXXVDa6rqVc0SNGzonT+gPaei9S2cyDjQusMkYyHImIPcfUaTDNitwNlqm1oedjXQRlcC4jQuis0o1f9x8Qw0LcWGU4NRu3s9JFDPLBwhZGAlVT/QZQ77F0dsXsQ1oYx2IlfgemDRbVos1FwBeKBVhJ8MNopDZvlgtAyYz3cgL2ESiprgnr9FwUulmXEN4LepYKUEwh5yQCJPEJIlARdlKc42qdeP2r3hv4K0h7opK6Dda7q2FBE10ULCwF7gKJ1uDH4txD2/WfnoS9ALYOaxvWhMKNb7S/MrONIBteGo4w++JLHOnC/dghWirqEmlgQlmEYhmGY3se7776Lww47TP1rbGzEb37zm26rDytFGURLaUAFRxTaoqpegArKhpZRRwfm9kxGn21b+/XXMAJutUgdEyJdJyPWvlVslapSJYUrczKe9yqvwrVzrbbgCnhoLKUh9+UpPI4pPXnpd2rqVZvW//rrN1P9EaaBdBycMRUAE0i1W7rvy7LtV3y2u3+qkUb4BoHU/aq1KX1vpNMK++LFKpHaa9VHDymQ5OmosK0auD5rRuTpV8OJLCe0k5SylZKk3NXILNtxrvlGiRJlUKTTVlQn1F/LMFirgxCIA3DGapBHEPEyRhS/mrSXx8hcSsMqR39lZqg/ZKVN1VsY331Cfy1r3XMmcf6uBbSt16yp15w2uqJDMJUjva6pz47XxrqSGiTbXhy40b6XBbvk7xL77bcf3njjDQDAtm3bMGbMGJx66qndVh8eFDEMwzBMT+dvIKL1k08+iZNPPhl9+/bttjrwoCgDrwR4HpQ9kbIvCuIJjGMB04x1Is37WLcT0Y5ZNrFGWnu/PlNJve4XhnhhKkbxAXvC6rQFIeOPMs42DD71mZk9e6qk+FQzY8lTcxArLRlpqNKLYavNthu9sz+y6qTNZm2lKPST2bCuHLmVHai0KYNtYyZu2k+YRqeUtE0/T7bNI5gKgDwWG6rbhq3yOhDc4RLijCuZ5dj3ivMetv7ailjKlslGPUsOZSJLJbQUCFWmqw7y+sm0HiJVRikd2o0j4ucq68LoLuoOhdlopaZIkUeR8iIVxlCAQjJOci3vkWxYGev7dXUI9j0mrD7MUH9cqpcm0rnUZaXCQ1h9k2xHy3xU6Hv7mlbzFSOfHe07XIU1CYRpTyqfAcuetMuCN3YTy5cvxx133IGVK1eiubkZS5YswbRp04w09913H+644w40NzfjoIMOwl133YXjjz++3WUtXrwY06dP76Sadwy2KWIYhmGYHg5R2Cn/2sv27dsxbtw43HPPPc7jjz32GObNm4drrrkGq1atwvHHH48pU6Zg/fr1Ks348eNx8MEHp/793//9n0qzdetWvPzyyzj99NPbf3E6EVaKMtAXWjWUIXsGok+YPKRVkjiNJEt5kCqOM61DDTK2Yc7E9JmZlWX6/KzZlDXJVWqSoQAlchJBu0ayLZpcpQkS7kbo9c1Saaz67ZKSnFIgzO2qsnb1i4CyP7K9y/S/So3QRB1VaGzLJr1n/QAI4yeVClLFkYpOtACs8KOTQ99UKwwPHWu6brSRYkUhTPpUaIt3mp/jDlfPhEgtPJzndZlpp2bvRzvJKD9XnYNUdOLPMmip7CcvUYJk8D7NdCl5brPyz7iJKyqp9v2pFn21ziFtp1QutC+VlF2Nwx7Mia0M6XZBVviGjpK2NUsrjsLxKUmf8VmeUYWSJdVR58LSdmBcAlxLNVXrvLjLEO3666/4hti6dauxO28N0ClTpmDKlCmZWS5cuBAXXHABLrzwQgDAXXfdhWeeeQb3338/br31VgDAypUrK1bt3//93zF58mQ0NDRU1ZTdBStFDMMwDPM3xKhRo9DU1KT+ycFLe2lra8PKlSsxadIkY/+kSZPwyiuvtCuvxYsX45xzzulQPToTVoqqJHm3DdN5xrK70P8C6VlEbkyOjEmcysK2hUAy21Jp7Hg92jGn7YI98SDnx3QdKVGPZOQeI8iZpeTkqj/2NVInOdJWODeXPFuVKsvUVYVUXrrCAFMpsr3GUm2soFyp6xcvFqvsMISAh2RxVo80VapAgCfaEaiQUt5ISbm6UgBzdg1SSyJAFqHZaOjSm7SHctmjOWNWwdxXFXo/52zLzylbL0Gmsqc+Ewy7Ii9Jr9LqKh0qmMG0p32p7xa7UVnPdwU7nJTcqf2VsYbiPjJUXj1Qoqsdeep4lTjVqDyV21J/9P22umOck6X2UEYd7DK7UinaZXkuOn/Dhg0YMGCA2t3R9UE/+eQTBEGAoUOHGvuHDh2KjRs3Vp3Pli1b8Mc//hGPP/54h+rRmfCgiGEYhmF6OqFmBd5RYpuiAQMGGIOiXUXYjitEqX15NDU14eOPP+60+uwKPChqL/Y7feGcHClyVQjKSFcN5oQ0rcpkqUGu/VVOPuy2JEqWpRhJlaga26Vqy5PFVqm8yTqaaUXOseryMGLT2OqPtYhuSkWyFQpH3pnbuvKiU4ahxIAI8JMTdaVDxJ9VuZTTLbGxhErrpVMae7I8f2wDLXnMUiHUuZYnUEpx0vLJDVtjP3d6W1x9ZnmVQV80VyptMg6QHVdHqkK5N7ktEdrPpdZnLkFAv17GfitNnvqUkafKN/UdYtoqZXqbOuuVYw3Uroe4CuR3TcZ3oPP7z3VMPw4k3+1CS9tVqlCNMHjwYPi+n1KFNm3alFKPagW2KWIYhmGYno4M3rir/wAcddRROPDAA3HvvffuUpXq6uowfvx4LF261Ni/dOlSTJw4cZfy7i5YKcpCmxXY3lx23Bg1CSRrVpQzq1D2OZXeV7envkYByX7dW0YvU+3PyidvAqflm0yCs0/oiIdGJaWoqhhCGfsrKUO58aKyFB9rou6Kd+NSK1L55qlK1nnSI0bPKLE3kvkKa9vRNl1J0dPqiomeVrOfET4lqklUCc2mJvqctTAqAGMNLbK2DYVFUy9SakoltSHPlkqvuy29anWvpGe44wFZ+6pVh6z25D4/LndU46+lCGnHUmqVfa5Mk6dAubCNCDvaNq3MvHrkKj728by2uNTZrGtGSPfpboTCELSLr8+kS/6KFSuqfn22bds2fPDBB2p77dq1eOONN7DHHntg7733xvz583H++efjyCOPxIQJE/DAAw9g/fr1mDVr1i7VtbvgQRHDMAzD9HQ60dC6Pbz++us46aST1Pb8+fMBADNmzMDDDz+Mc845B59++ikWLFiA5uZmHHzwwfj973+P0aNH71pduwkeFGWRdf/FSotTZRHue841w6ScYx3CUoZyZ1+G7NWOY650VdatUnbVmhWk8rEnyRkKj7MMV5kdUZXsc20FKN7nVIMs2xZ1TpZS5KijyLS/FO42a+Uk3nEisqvRvK6ER8lq7bpnlSdMT8RQmJ5tDtstsryyqlWVRKWZcd7Dpe/KUlMqHSf9mEgdi/6mK+H87WnHQ5D5/Npl6t9TmpKm8sjIx+WhZSZI9tn3o0uVMS6BoTaTeU5emY597Yl3lTpWjapUSc13XMPMOFu9lBNPPBFUYTB16aWX4tJLL+2iGu1eeFDEMAzDMD2dMG8kWCU9cEHYngYPijqT9txvluKUmaba7HTpKWPmlpoMuvZ39zPTHnWnI0qQTNvOeuQqSMK9bX+2lSLjHP2U2LZGV+3UR20GX229surnUgBIjzWkrbElQlc+Qm0LT5OOjHbKygvzXLvBerMy+s3p4dsJxmqZq7870layXVFeYlnHM+tU5f68+rhU6grn53mo5Xu6dbycvHyrLTM3WrVKpO23BCr7+7JqRaojCmBnQQTTgLCjeTB5sPcZwzAMw/wN0VneZ70RVooyID/6Z0erTqWr4v1ytUrMriijpH+wZ9S7MjmoxjapO6miDlXHIHKlrbBdrZLlUpHaExupYppKeQKpSOMCyedov0iy1e18VN6WCmKUJaq3x2pHf+Q9FLsa3iav2N1NxWc9q3EVlKrKSlY76lHpAnfku6waNUtP10H7HcOu0lbNdRs9+X2ZpwblqEgAjCj2uxMKKbHN62ge8Q9We7zP/tbgQRHDMAzD9HQoXqF8l/Ng8uBBUQZhERBF97FO8TboxFe7Ha3Prs60a8nrot1tzbNH6qgdWHvz7ED/VLR/yLLXyTwunB/z6MxrnXews5SiynWokt3wPLRHcal4ToXzqq1/j3nuK9TDaa+XsSNPzc8sJj4Q8jijV8GDIoZhGIbp4XTm6zMmGx4UZUA+QBlXh28rplapbMvSCWXsehYMU5kO3Gidqi7KPMudn6e7IH591hXwoMhCjqTD1pZurgnDMAzT05G/FbtbhSmjtMuTljJKACLvM9/3MXv2bMyePbsTatd7EMR6msGHH36IsWPHdnc1GIZhmBpiw4YNGDlyZKfn29LSgn322Se1En1HGTZsGNauXYuGhoZOya+3wYMii88++wyDBg3C+vXr0dTU1N3V6XS2bt2KUaNGYcOGDb3OJZPbVptw22oTblsEEeHzzz/HiBEj4Hm7xz+/paUFbW1tnZJXXV0dD4hy4NdnFvKmbmpq6nUPus6AAQN6bfu4bbUJt6024bZht0+gGxoaeCDTRXBEa4ZhGIZhGPCgiGEYhmEYBgAPilLU19fj+uuvR319fXdXZbfQm9vHbatNuG21CbeN6Y2woTXDMAzDMAxYKWIYhmEYhgHAgyKGYRiGYRgAPChiGIZhGIYBwIMihmEYhmEYADwoSnHfffdhn332QUNDA8aPH4//+q//6u4qtZsbbrgBQgjj37Bhw9RxIsINN9yAESNGoLGxESeeeCLefvvtbqxxNsuXL8eZZ56JESNGQAiB3/zmN8bxatrS2tqKyy67DIMHD0bfvn3x9a9/HX/605+6sBVuKrVt5syZqX485phjjDQ9tW233norjjrqKPTv3x9f+MIXMG3aNLz77rtGmlrtu2raVqt9d//99+PQQw9VQQsnTJiAp556Sh2v1T4DKretVvuM6Vx4UKTx2GOPYd68ebjmmmuwatUqHH/88ZgyZQrWr1/f3VVrNwcddBCam5vVv9WrV6tjt99+OxYuXIh77rkHK1aswLBhw3Dqqafi888/78Yau9m+fTvGjRuHe+65x3m8mrbMmzcPS5YswaOPPoqXXnoJ27ZtwxlnnIEgCLqqGU4qtQ0ATjvtNKMff//73xvHe2rbXnzxRcyePRuvvvoqli5dinK5jEmTJmH79u0qTa32XTVtA2qz70aOHInbbrsNr7/+Ol5//XV87Wtfw9SpU9XAp1b7DKjcNqA2+4zpZIhRHH300TRr1ixj3/7770/f//73u6lGHeP666+ncePGOY+FYUjDhg2j2267Te1raWmhpqYm+tnPftZFNewYAGjJkiVqu5q2fPbZZ1QsFunRRx9Vaf785z+T53n09NNPd1ndK2G3jYhoxowZNHXq1MxzaqVtRESbNm0iAPTiiy8SUe/qO7ttRL2r7wYNGkT//M//3Kv6TCLbRtS7+ozpOKwUxbS1tWHlypWYNGmSsX/SpEl45ZVXuqlWHef999/HiBEjsM8+++Dcc8/Fhx9+CABYu3YtNm7caLSzvr4eJ5xwQs21s5q2rFy5EqVSyUgzYsQIHHzwwTXR3mXLluELX/gCvvzlL+Oiiy7Cpk2b1LFaatuWLVsAAHvssQeA3tV3dtsktd53QRDg0Ucfxfbt2zFhwoRe1Wd22yS13mfMrsMLwsZ88sknCIIAQ4cONfYPHToUGzdu7KZadYyvfOUr+OUvf4kvf/nL+Pjjj3HzzTdj4sSJePvtt1VbXO1ct25dd1S3w1TTlo0bN6Kurg6DBg1Kpenp/TplyhScffbZGD16NNauXYvrrrsOX/va17By5UrU19fXTNuICPPnz8dxxx2Hgw8+GEDv6TtX24Da7rvVq1djwoQJaGlpQb9+/bBkyRIceOCB6oe/lvssq21AbfcZ03nwoMhCCGFsE1FqX09nypQp6vMhhxyCCRMmYOzYsfjFL36hDAd7QzslHWlLLbT3nHPOUZ8PPvhgHHnkkRg9ejR+97vf4ayzzso8r6e1bc6cOXjzzTfx0ksvpY7Vet9lta2W+26//fbDG2+8gc8++wyPP/44ZsyYgRdffFEdr+U+y2rbgQceWNN9xnQe/PosZvDgwfB9PzXi37RpU2pmVGv07dsXhxxyCN5//33lhdYb2llNW4YNG4a2tjZs3rw5M02tMHz4cIwePRrvv/8+gNpo22WXXYYnn3wSL7zwAkaOHKn294a+y2qbi1rqu7q6Onzxi1/EkUceiVtvvRXjxo3D3Xff3Sv6LKttLmqpz5jOgwdFMXV1dRg/fjyWLl1q7F+6dCkmTpzYTbXqHFpbW7FmzRoMHz4c++yzD4YNG2a0s62tDS+++GLNtbOatowfPx7FYtFI09zcjLfeeqvm2vvpp59iw4YNGD58OICe3TYiwpw5c/DEE0/g+eefxz777GMcr+W+q9Q2F7XUdzZEhNbW1prusyxk21zUcp8xu0CXm3b3YB599FEqFov00EMP0TvvvEPz5s2jvn370kcffdTdVWsXV155JS1btow+/PBDevXVV+mMM86g/v37q3bcdttt1NTURE888QStXr2azjvvPBo+fDht3bq1m2ue5vPPP6dVq1bRqlWrCAAtXLiQVq1aRevWrSOi6toya9YsGjlyJD333HP03//93/S1r32Nxo0bR+VyubuaRUT5bfv888/pyiuvpFdeeYXWrl1LL7zwAk2YMIH22muvmmjbJZdcQk1NTbRs2TJqbm5W/3bs2KHS1GrfVWpbLffd1VdfTcuXL6e1a9fSm2++Sf/v//0/8jyPnn32WSKq3T4jym9bLfcZ07nwoMji3nvvpdGjR1NdXR0dccQRhpttrXDOOefQ8OHDqVgs0ogRI+iss86it99+Wx0Pw5Cuv/56GjZsGNXX19NXv/pVWr16dTfWOJsXXniBAKT+zZgxg4iqa8vOnTtpzpw5tMcee1BjYyOdccYZtH79+m5ojUle23bs2EGTJk2iIUOGULFYpL333ptmzJiRqndPbZurXQBo0aJFKk2t9l2lttVy333nO99R339Dhgyhk08+WQ2IiGq3z4jy21bLfcZ0LoKIqOt0KYZhGIZhmJ4J2xQxDMMwDMOAB0UMwzAMwzAAeFDEMAzDMAwDgAdFDMMwDMMwAHhQxDAMwzAMA4AHRQzDMAzDMAB4UMQwDMMwDAOAB0VML+TEE0/EvHnzelW5M2fOxLRp03YpjzFjxkAIASEEPvvss8x0Dz/8MAYOHLhLZTHZzJw5U/XDb37zm+6uDsMwGjwoYphO4oknnsBNN92ktseMGYO77rqr+yrkYMGCBWhubkZTU1N3V6XXs2zZMucA9O6770Zzc3P3VIphmFwK3V0Bhukt7LHHHt1dhYr0799frXbe3ZRKJRSLxe6uRpfT1NTEg1KG6aGwUsT0ejZv3ozp06dj0KBB6NOnD6ZMmYL3339fHZevi5555hkccMAB6NevH0477TRjNl8ulzF37lwMHDgQe+65J6666irMmDHDeKWlvz478cQTsW7dOlxxxRXqVQkA3HDDDTjssMOM+t11110YM2aM2g6CAPPnz1dlfe9734O9Gg8R4fbbb8e+++6LxsZGjBs3Dv/2b//Woevz8MMPY++990afPn3wjW98A59++mkqzW9/+1uMHz8eDQ0N2HfffXHjjTeiXC6r4//zP/+D4447Dg0NDTjwwAPx3HPPGa+HPvroIwghsHjxYpx44oloaGjAv/7rvwIAFi1ahAMOOAANDQ3Yf//9cd999xll//nPf8Y555yDQYMGYc8998TUqVPx0UcfqePLli3D0Ucfjb59+2LgwIE49thjsW7duqraXqldCxcuxCGHHIK+ffti1KhRuPTSS7Ft2zZ1fN26dTjzzDMxaNAg9O3bFwcddBB+//vf46OPPsJJJ50EABg0aBCEEJg5c2ZVdWIYpvvgQRHT65k5cyZef/11PPnkk/jDH/4AIsLpp5+OUqmk0uzYsQM//vGP8atf/QrLly/H+vXr8d3vflcd/9GPfoRf//rXWLRoEV5++WVs3bo11x7kiSeewMiRI9Xrqva8LrnzzjvxL//yL3jooYfw0ksv4a9//SuWLFlipLn22muxaNEi3H///Xj77bdxxRVX4Nvf/jZefPHF6i8MgNdeew3f+c53cOmll+KNN97ASSedhJtvvtlI88wzz+Db3/425s6di3feeQc///nP8fDDD+OWW24BAIRhiGnTpqFPnz547bXX8MADD+Caa65xlnfVVVdh7ty5WLNmDSZPnowHH3wQ11xzDW655RasWbMGP/zhD3HdddfhF7/4BYCoX0466ST069cPy5cvx0svvaQGrW1tbSiXy5g2bRpOOOEEvPnmm/jDH/6Aiy++WA1C86jULgDwPA//9E//hLfeegu/+MUv8Pzzz+N73/ueOj579my0trZi+fLlWL16NX70ox+hX79+GDVqFB5//HEAwLvvvovm5mbcfffd7eobhmG6gW5djpZhdgMnnHACXX755URE9N577xEAevnll9XxTz75hBobG2nx4sVERLRo0SICQB988IFKc++999LQoUPV9tChQ+mOO+5Q2+Vymfbee2+aOnWqs1wiotGjR9NPfvITo27XX389jRs3ztj3k5/8hEaPHq22hw8fTrfddpvaLpVKNHLkSFXWtm3bqKGhgV555RUjnwsuuIDOO++8zOviqs95551Hp512mrHvnHPOoaamJrV9/PHH0w9/+EMjza9+9SsaPnw4ERE99dRTVCgUqLm5WR1funQpAaAlS5YQEdHatWsJAN11111GPqNGjaJHHnnE2HfTTTfRhAkTiIjooYceov3224/CMFTHW1tbqbGxkZ555hn69NNPCQAtW7Yss91ZVGqXi8WLF9Oee+6ptg855BC64YYbnGlfeOEFAkCbN292HtevD8MwPQO2KWJ6NWvWrEGhUMBXvvIVtW/PPffEfvvthzVr1qh9ffr0wdixY9X28OHDsWnTJgDAli1b8PHHH+Poo49Wx33fx/jx4xGGYafWd8uWLWhubsaECRPUvkKhgCOPPFK9QnvnnXfQ0tKCU0891Ti3ra0Nhx9+eLvKW7NmDb7xjW8Y+yZMmICnn35aba9cuRIrVqwwFJQgCNDS0oIdO3bg3XffxahRowxbJf1a6Rx55JHq81/+8hds2LABF1xwAS666CK1v1wuK5ublStX4oMPPkD//v2NfFpaWvC///u/mDRpEmbOnInJkyfj1FNPxSmnnIJvfvObGD58eMW2V2pXnz598MILL+CHP/wh3nnnHWzduhXlchktLS3Yvn07+vbti7lz5+KSSy7Bs88+i1NOOQV/93d/h0MPPbRi2QzD9Ex4UMT0asiyxdH3669YbINfIUTqXPuVTFbeeXielzpPf41XDXIg9rvf/Q577bWXcay+vr5deVXThjAMceONN+Kss85KHWtoaEhdyzz69u1r5AsADz74oDFoBaJBp0wzfvx4/PrXv07lNWTIEACRTdLcuXPx9NNP47HHHsO1116LpUuX4phjjtmldq1btw6nn346Zs2ahZtuugl77LEHXnrpJVxwwQWqzy688EJMnjwZv/vd7/Dss8/i1ltvxZ133onLLrusquvBMEzPggdFTK/mwAMPRLlcxmuvvYaJEycCAD799FO89957OOCAA6rKo6mpCUOHDsUf//hHHH/88QAiRWHVqlUpo2mduro6BEFg7BsyZAg2btxoDCTeeOMNo6zhw4fj1VdfxVe/+lUAkXKycuVKHHHEEapN9fX1WL9+PU444YSq2pDFgQceiFdffdXYZ28fccQRePfdd/HFL37Rmcf++++P9evX4+OPP8bQoUMBACtWrKhY9tChQ7HXXnvhww8/xLe+9S1nmiOOOAKPPfYYvvCFL2DAgAGZeR1++OE4/PDDcfXVV2PChAl45JFHKg6KKrXr9ddfR7lcxp133gnPi8wvFy9enEo3atQozJo1C7NmzcLVV1+NBx98EJdddhnq6uoAIHUPMAzTc+FBEdOr+dKXvoSpU6fioosuws9//nP0798f3//+97HXXnth6tSpVedz2WWX4dZbb8UXv/hF7L///vjpT3+KzZs35yokY8aMwfLly3Huueeivr4egwcPxoknnoi//OUvuP322/H3f//3ePrpp/HUU08ZP/iXX345brvtNnzpS1/CAQccgIULFxqxbvr374/vfve7uOKKKxCGIY477jhs3boVr7zyCvr164cZM2ZU3a65c+di4sSJuP322zFt2jQ8++yzxqszAPjBD36AM844A6NGjcLZZ58Nz/Pw5ptvYvXq1bj55ptx6qmnYuzYsZgxYwZuv/12fP7558rQupKCdMMNN2Du3LkYMGAApkyZgtbWVrz++uvYvHkz5s+fj29961u44447MHXqVCxYsAAjR47E+vXr8cQTT+Af//EfUSqV8MADD+DrX/86RowYgXfffRfvvfcepk+fXrHtldo1duxYlMtl/PSnP8WZZ56Jl19+GT/72c+MPObNm4cpU6bgy1/+MjZv3oznn39eDbZHjx4NIQT+4z/+A6effjoaGxvRr1+/qvuGYZhuoNusmRhmN2EbPP/1r3+l888/n5qamqixsZEmT55M7733njq+aNEiw7CYiGjJkiWkPx6lUonmzJlDAwYMoEGDBtFVV11FZ599Np177rmZ5f7hD3+gQw89lOrr64287r//fho1ahT17duXpk+fTrfccothaF0qlejyyy+nAQMG0MCBA2n+/Pk0ffp0w6g7DEO6++67ab/99qNisUhDhgyhyZMn04svvph5XVyG1kSRMfPIkSOpsbGRzjzzTPrxj3+cuh5PP/00TZw4kRobG2nAgAF09NFH0wMPPKCOr1mzho499liqq6uj/fffn377298SAHr66aeJKDG0XrVqVar8X//613TYYYdRXV0dDRo0iL761a/SE088oY43NzfT9OnTafDgwVRfX0/77rsvXXTRRbRlyxbauHEjTZs2jYYPH051dXU0evRo+sEPfkBBEGReh/a0a+HChTR8+HB13/zyl780jKfnzJlDY8eOpfr6ehoyZAidf/759Mknn6jzFyxYQMOGDSMhBM2YMcMoG2xozTA9DkHUAcMIhvkbJwxDHHDAAfjmN79pRLHuyYwZMwbz5s3rkiVQXn75ZRx33HH44IMPDAN2JkEIgSVLluzy8i0Mw3QeHKeIYapg3bp1ePDBB/Hee+9h9erVuOSSS7B27Vr8wz/8Q3dXrV1cddVV6NevH7Zs2dKp+S5ZsgRLly7FRx99hOeeew4XX3wxjj32WB4QOZg1axa/RmOYHgorRQxTBRs2bMC5556Lt956C0SEgw8+GLfddpsyhq4F1q1bp7ym9t13X2U83Bn88pe/xE033YQNGzZg8ODBOOWUU3DnnXdizz337LQy2stBBx2UGdn65z//eaZx9+5m06ZN2Lp1K4Ao9IPukccwTPfCgyKGYXol+iDQZujQoanYRwzDMDwoYhiGYRiGAdsUMQzDMAzDAOBBEcMwDMMwDAAeFDEMwzAMwwDgQRHDMAzDMAwAHhQxDMMwDMMA4EERwzAMwzAMAB4UMQzDMAzDAOBBEcMwDMMwDADg/wPIx7c7SeFQeAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "for dset in dset_list:\n",
     "    dset.pr.plot(norm=mcolors.LogNorm())\n",
@@ -277,7 +391,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "4276c97e-d798-42b7-846b-98f6460ce897",
    "metadata": {
     "tags": []
@@ -299,12 +413,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "11beadd3-beef-4337-a6cf-1fdd1d657ddf",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa\n",
+      "native 0.9x1.25 finite volume grid (192x288 latxlon)\n"
+     ]
+    }
+   ],
    "source": [
     "print(dset_list[0].grid)\n",
     "print(dset_list[1].grid)"
@@ -330,12 +453,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "423e4302-6aa6-42e7-9686-d99c1b8cd3af",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\u001b[0;31mSignature:\u001b[0m \u001b[0mrooki\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregrid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcollection\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'nearest_s2d'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrid\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'auto'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+       "\u001b[0;31mDocstring:\u001b[0m\n",
+       "Run regridding operator on climate model data using daops (xarray).\n",
+       "\n",
+       "Parameters\n",
+       "----------\n",
+       "collection : string\n",
+       "    A dataset identifier or list of comma separated identifiers. Example: c3s-cmip5.output1.ICHEC.EC-EARTH.historical.day.atmos.day.r1i1p1.tas.latest\n",
+       "method : {'nearest_s2d', 'bilinear', 'conservative', 'patch'}string\n",
+       "    Please specify regridding method like consevative or bilinear. Default: nearest_s2d\n",
+       "grid : {'auto', '0pt25deg', '0pt25deg_era5', '0pt5deg_lsm', '0pt625x0pt5deg', '0pt75deg', '1deg', '1pt25deg', '2pt5deg'}string\n",
+       "    Please specify output grid resolution for regridding. Default: auto\n",
+       "\n",
+       "Returns\n",
+       "-------\n",
+       "output : ComplexData:mimetype:`application/metalink+xml; version=4.0`\n",
+       "    Metalink v4 document with references to NetCDF files.\n",
+       "prov : ComplexData:mimetype:`application/json`\n",
+       "    Provenance document using W3C standard.\n",
+       "prov_plot : ComplexData:mimetype:`image/png`\n",
+       "    Provenance document as diagram.\n",
+       "\u001b[0;31mFile:\u001b[0m      ~/esgf-cookbook/notebooks/</srv/conda/envs/notebook/lib/python3.10/site-packages/birdy/client/base.py-8>\n",
+       "\u001b[0;31mType:\u001b[0m      method"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "rooki.regrid?"
    ]
@@ -352,12 +507,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "id": "4993b311-f18b-4d79-8902-a6040aff3271",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading to /tmp/metalink_omjq1m4c/pr_Amon_CanESM5_historical_r1i1p1f1_gr_20100101-20100101_avg-year.nc.\n",
+      "Downloading to /tmp/metalink_02o10_9k/pr_Amon_CESM2_historical_r1i1p1f1_gr_20100101-20100101_avg-year.nc.\n"
+     ]
+    }
+   ],
    "source": [
     "rg_list = [[]]*len(dsets)\n",
     "\n",
@@ -396,12 +560,70 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "id": "e38e4a39-0465-4ed8-8a5c-6bdcd61d77c1",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[<xarray.Dataset> Size: 177kB\n",
+      "Dimensions:    (lat: 145, lon: 288, bnds: 2, time: 1)\n",
+      "Coordinates:\n",
+      "  * lat        (lat) float64 1kB -90.0 -88.75 -87.5 -86.25 ... 87.5 88.75 90.0\n",
+      "  * lon        (lon) float64 2kB 0.0 1.25 2.5 3.75 ... 355.0 356.2 357.5 358.8\n",
+      "    lat_bnds   (lat, bnds) float64 2kB ...\n",
+      "    lon_bnds   (lon, bnds) float64 5kB ...\n",
+      "  * time       (time) object 8B 2010-01-01 00:00:00\n",
+      "Dimensions without coordinates: bnds\n",
+      "Data variables:\n",
+      "    pr         (time, lat, lon) float32 167kB ...\n",
+      "    time_bnds  (time, bnds) object 16B ...\n",
+      "Attributes: (12/58)\n",
+      "    CCCma_model_hash:             3dedf95315d603326fde4f5340dc0519d80d10c0\n",
+      "    CCCma_parent_runid:           rc3-pictrl\n",
+      "    CCCma_pycmor_hash:            33c30511acc319a98240633965a04ca99c26427e\n",
+      "    CCCma_runid:                  rc3.1-his01\n",
+      "    Conventions:                  CF-1.7 CMIP-6.2\n",
+      "    YMDH_branch_time_in_child:    1850:01:01:00\n",
+      "    ...                           ...\n",
+      "    grid_original:                T63L49 native atmosphere, T63 Linear Gaussi...\n",
+      "    grid_label_original:          gn\n",
+      "    nominal_resolution_original:  500 km\n",
+      "    regrid_operation:             nearest_s2d_64x128_145x288_peri\n",
+      "    regrid_tool:                  xESMF_v0.8.2\n",
+      "    regrid_weights_uid:           549cab49a80314b5a85515237d530e30_f3646e1560..., <xarray.Dataset> Size: 177kB\n",
+      "Dimensions:    (lat: 145, lon: 288, bnds: 2, time: 1, nbnd: 2)\n",
+      "Coordinates:\n",
+      "  * lat        (lat) float64 1kB -90.0 -88.75 -87.5 -86.25 ... 87.5 88.75 90.0\n",
+      "  * lon        (lon) float64 2kB 0.0 1.25 2.5 3.75 ... 355.0 356.2 357.5 358.8\n",
+      "    lat_bnds   (lat, bnds) float64 2kB ...\n",
+      "    lon_bnds   (lon, bnds) float64 5kB ...\n",
+      "  * time       (time) object 8B 2010-01-01 00:00:00\n",
+      "Dimensions without coordinates: bnds, nbnd\n",
+      "Data variables:\n",
+      "    pr         (time, lat, lon) float32 167kB ...\n",
+      "    time_bnds  (time, nbnd) object 16B ...\n",
+      "Attributes: (12/50)\n",
+      "    Conventions:                  CF-1.7 CMIP-6.2\n",
+      "    activity_id:                  CMIP\n",
+      "    branch_method:                standard\n",
+      "    branch_time_in_child:         674885.0\n",
+      "    branch_time_in_parent:        219000.0\n",
+      "    case_id:                      15\n",
+      "    ...                           ...\n",
+      "    grid_original:                native 0.9x1.25 finite volume grid (192x288...\n",
+      "    grid_label_original:          gn\n",
+      "    nominal_resolution_original:  100 km\n",
+      "    regrid_operation:             nearest_s2d_192x288_145x288_peri\n",
+      "    regrid_tool:                  xESMF_v0.8.2\n",
+      "    regrid_weights_uid:           79e1100d95467f7177a261a94d1333ad_f3646e1560...]\n"
+     ]
+    }
+   ],
    "source": [
     "print(rg_list)"
    ]
@@ -416,12 +638,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "id": "59b6fefa-90e7-49c7-b816-27351a0f51f4",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Global 1.25 degree grid with one cell centered at 0E,0N. As used by ERA-40.\n",
+      "Global 1.25 degree grid with one cell centered at 0E,0N. As used by ERA-40.\n"
+     ]
+    }
+   ],
    "source": [
     "print(rg_list[0].grid)\n",
     "print(rg_list[1].grid)"
@@ -438,12 +669,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "a9d5213f-65a1-415f-b3fe-6860d70fd14d",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CanESM5\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "print(dset_list[0].source_id)\n",
     "for ds in [dset_list[0], rg_list[0]]:\n",
@@ -453,12 +712,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "0fabcf8b-c9e2-40c4-b7e1-ce7de3809d29",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CESM2\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "print(dset_list[1].source_id)\n",
     "for ds in [dset_list[1], rg_list[1]]:\n",
@@ -477,12 +764,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "id": "4f781e26-0c43-45e9-be89-31d3575f4c99",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "pr_diff = rg_list[0] - rg_list[1]\n",
     "\n",
@@ -501,12 +799,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "id": "86ab0c4a-ce76-48ab-843d-e79333bdd58c",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x800 with 7 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# set up figure\n",
     "fig = plt.figure(figsize=(6, 8))\n",
@@ -591,12 +900,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "id": "d64f5c8d-6355-4225-b5c8-8f2c344fa241",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "35ea5b74257f4e4e90d23343a3a95719",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "   Searching indices:   0%|          |0/2 [       ?index/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "['CMIP6.CMIP.NCAR.CESM2.historical.r1i1p1f1.Amon.tas.gn.v20190308']"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cat = ESGFCatalog()\n",
     "cat.search(\n",
@@ -623,12 +957,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "id": "9c70d292-6e0e-43dd-b64e-5b143e38590e",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading to /tmp/metalink_tl49gcjj/tas_Amon_CESM2_historical_r1i1p1f1_gn_20100101-20100101_avg-year.nc.\n"
+     ]
+    }
+   ],
    "source": [
     "wf = ops.AverageByTime(\n",
     "    ops.Subset(\n",
@@ -655,12 +997,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "id": "b43c0357-ef9e-469d-b2e7-1635d0387ee5",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'native 0.9x1.25 finite volume grid (192x288 latxlon)'"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "ds_og.grid"
    ]
@@ -675,12 +1028,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "id": "710606ac-1c41-4b27-b2c4-2ae4957357ea",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading to /tmp/metalink_a8ws0b5a/tas_Amon_CESM2_historical_r1i1p1f1_gr_20100101-20100101_avg-year.nc.\n"
+     ]
+    }
+   ],
    "source": [
     "wf = ops.AverageByTime(\n",
     "    ops.Regrid(\n",
@@ -704,12 +1065,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "id": "f51dd55a-a419-4a24-bc2f-4bdaeb435318",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Global 1.25 degree grid with one cell centered at 0E,0N. As used by ERA-40.'"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "ds_125.grid"
    ]
@@ -724,12 +1096,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "id": "71a84338-90cf-49ec-b120-8f071213cf3e",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading to /tmp/metalink_1utsadgb/tas_Amon_CESM2_historical_r1i1p1f1_gr_20100101-20100101_avg-year.nc.\n"
+     ]
+    }
+   ],
    "source": [
     "wf = ops.AverageByTime(\n",
     "    ops.Regrid(\n",
@@ -753,12 +1133,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "id": "412c50c9-0a30-4f28-8c97-c8a3d957de51",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Global 2.5 degree grid with one cell centered at 1.25E,1.25N.'"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "ds_25.grid"
    ]
@@ -781,12 +1172,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "id": "96f1af51-6836-436f-a09f-1d6375614f98",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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hN17wXRbi6h+1L/xvVD9IQkhHjbGr6voOduBksVgsFksfh/mfrtZh6Tp24BQH5QDl3ah624l6E9vsQnLKqEPjLFidbKbksGquqwpG1g6P60dE2W5jS7M2ddFqGHd8WQtU1M2KNCFU1l7s4dWcXyee47LPXCfb7Ey/DWuLXhcTH0BcI8Kh/m9JPIAW/X00KA8Iaw2ngdUm8V6E+xDTR1WPZikuCeAmol+qv/pvnMH8PfOgfyQ8AuDBOXEHhiVIftfbJXp/CMDlBhIEjHOYx8myZv/F/ycsWxd24GSxWCwWSx/Hq8Gquq4ebxHYgZPFYrFYLH0cj4tPV+uwdB0rRxADJ0GQofFxeOknFfpElXE4ONU+cWU6+4nqa8zHCHwnQUJj/QPCoz9U+5DSuiI/iNkWtV3/yDao/0kK0qykvlp/9Gcl7jomkHRcZ+tMpMLz6fTxCc9TSf/jni/d/1Nlf6u6XlWce7hbZqPJx4Jrn4g6KwnWJky4s4gH0IJwt9GC/8kDTkfwoR1iG80DqXbAadf2Fc32OQW8jPiwlP9u8Psq2yMeQAp+HX59qZyoi8iPZ/6tXHPyHqQA5ooPd7RPSCuPFrRzyYnvyvXIzWP0uphfP0/5H0dzzxFxPC1qn0LQX1qE6fYjXHsH+u1p30UQuvY+J52OXtgiuOGGG7DnnnuiqakJTU1N2H///fH444+r/ZxzXHLJJRgxYgTq6upw0EEH4Y033jDq6OjowMyZMzFo0CA0NDTgqKOOwkcffdTTp1JT7MDJYrFYLJY+DqvRpxq22247XH755XjppZfw0ksv4ZBDDsHRRx+tBkfz5s3DVVddhd/+9rd48cUXMWzYMEycOBEtLS2qjlmzZuHhhx/GggULsHTpUmzevBnf+ta34Hle5y9GL0M4t+sTdTZt2oTm5maM/M0vQeuyERaShMvFQtOPcKByOGgSCd9rRWTgd/h70Hhc0GklJM6ey5lKKlGh5trsMOoNELZkVdH81ki3Kmp0Zdm7T3lrTIU3tUw9Je1UE8Sd+MxX2W7EsURaf7QAbxX0HdVGlDQA0/71LxlzhaUm3BcZqE28IBAbMK1Dymotj2Gh/uiWNBY6Tx5RNqrvJLSJmsHZnEBN++Xf8ny441uJZCC5fv38CvWyLMXNuvQ+kOCgsEyB/M7ac1h5/s+wceNGNDU1odbI/ye9/OZQ9Gvsmq1jcwvD3rt/2qW+DhgwAFdeeSWmTZuGESNGYNasWfjxj38MQFiXhg4diiuuuALf+973sHHjRgwePBh33HEHTjzxRADAJ598gpEjR+Kvf/0rJk+e3KXz6S2sxclisVgsFksinudhwYIFaG1txf77748VK1Zg9erVmDRpkiqTyWQwYcIEPPfccwCAZcuWoVAoGGVGjBiB0aNHqzJbIjY43GKxWCyWPg7j4tPVOgBhxdLJZDLIZDKRx7z++uvYf//9kcvl0K9fPzz88MPYfffd1cBn6NChRvmhQ4fiX//6FwBg9erVSKfT2GabbUrKrF69umsn04vYgVMcKQ6kRACgrvsBoMTGzpm02QKkqLnrwp4EPcCZcBU8GVVnIhW4KCoKZlUusGAj52XKxtXPy3SrKzpTyieAQG/FgRF0W+K60NwS/qFbnruum/sbeT1q5b7z64697XrbMWU4id8nK6/osUq6+aHnlmiaQ+G+8ahzirtHsp5Ouv10V5dRRKpjR/xOCYN4x+j1MMAp+FU5gbvNy4i/ZTvc/490QXhpzdUlXWqay8/Qh9KD3zmiXXdaX8P7YtHeu7rLTv6rrkF4EYBctyI1qxzNNRd2v9HQ8QSGLpNeryirnYysK9Uz0S4eCLwuvhTk8SNHjjS2z549G5dccknkMV/5ylfw6quvYsOGDXjwwQcxZcoULFmyRO0noczLnPOSbWEqKdOXsQMni8VisVi2IlauXGnEOMVZmwAgnU5j5513BgDss88+ePHFF3HttdequKbVq1dj+PDhqvyaNWuUFWrYsGHI5/NYv369YXVas2YNxo8fX9Nz6knswCkOlwEuEzMebZZBCAeh+hTKhDMC7slIQ5SxGnCQyMhxScJ0ttLl0Tw8G4j4khQcHrZKcfOrKhPR1UqCXyvBDNg0DzRnzMRQSQ6rDhuT0qRl6p3sZ9m6upNatVVNPRVcm4qsWqEysRadiPbCloY4SOzO0O8juWuGhapia1dExUaAd0RZ1YZc0h+2ikV1OByxykUQuJf1v/rL+OXfUfIe1AuOlRYmRv3tejC4ruodsiIZ1qiI/YaVOOm2hK81Deo16mEA9z/6eapz1S1CnIA7mkVJXjN9m2ZR4vq7PmRx4r51ihd7JpFJLS1OUl6gM3DO0dHRgR133BHDhg3DwoULsddeewEA8vk8lixZgiuuuAIAMHbsWLiui4ULF+KEE04AAKxatQrLly/HvHnzunQuvYkdOFksFovF0sdhnIB1Md6g2uN/+tOf4ogjjsDIkSPR0tKCBQsWYPHixXjiiSdACMGsWbNw2WWXYZdddsEuu+yCyy67DPX19Tj55JMBAM3NzZg+fTrOPfdcDBw4EAMGDMB5552HMWPG4LDDDuvSufQmduBksVgsFksfp5YWp0r59NNPccopp2DVqlVobm7GnnvuiSeeeAITJ04EAFxwwQVob2/HmWeeifXr12PcuHF46qmn0NjYqOq4+uqrkUqlcMIJJ6C9vR2HHnoobr31VjiOE9dsn2eL0XHaYYcdVKS+zplnnonf/e53mDp1Km677TZj37hx4/DCCy9U1Y7ScfrDbNC6LAjlvnvOL0D875rrLtGjxonh1uLhEX+SK02rxywTriNin9pGSsuF3GxcN7OrQHeSHLyZ5NOIPIfkH2ylysyByZ+YrtBQAKvhHijXHQJDwbjLbq9Kji/rE+oGulW4qQYkPNeJ21A+2LrqY6P6FX6meBl3U5LrsIwbO9Ydl0RUOSqCwgERJC3dVuGEtTzk5jNccbK/uktf806FdaaoVBCX+7zgfPR65d+RmlS6O8z/bug4aa5GLvf758lcgKUDVx1LaXUTqEwL8vpItXC1XwaHE38/1a4ZDd790m3H2nNY+YNLul3HacnybWui4zRh9Mfd1tethS3G4vTiiy8aSqPLly/HxIkT8R//8R9q2+GHH4758+er7+l0ukf7aLFYLBZLd+CBwuui9OKWq9Xdt9hiBk6DBw82vl9++eX40pe+hAkTJqhtmUwGw4YN6+muWSwWi8XSrfAaxDiVeCssnWKLGTjp5PN53HnnnTjnnHMMLYjFixdjyJAh6N+/PyZMmIA5c+ZgyJAhiXV1dHSgo6NDfZfCYE6KgboMhIqVdYQE5lvqu+sk8u8oWYo4N134AeZR20PHRtbl/yv3Ef+PYD8v/bHo4ijG6hQiXHR625WuPgvvK3FFmavyghOJd88o90CEKb8SfSBVtb6KRzte36+6F3Velb5rEvwvanWQvL61fn9V4Yarybuzk3Ukr0iLeUaimtddtuFDKnDR6e2Xbc5XDSS89PfJjb4krAiEed2N48KdKOP+S0wRE3a/EYCr9CKaiyrsCpPbSFA23ASPW9FKgueaeADNE1BfO0ol1PVNHVRz6wGlLsHwORH9u+5elKvsAJWOxTg3BtUHAPDSPCjrBJ0PkvkG+5VrznfjyTCNYDU1N74Tp2dW1Vn6DltkypU//elP2LBhA6ZOnaq2HXHEEbjrrrvwt7/9Db/5zW/w4osv4pBDDjEGRVHMnTsXzc3N6hMWBrNYLBaLpbeRweFd/Vi6zhYTHK4zefJkpNNpPPbYY7FlVq1ahVGjRmHBggU47rjjYstFWZxGjhyJnW7/KZz6rLIu6VYlanzXLU/J/Q5f6SgLFDO2BfuMsvqxPMIaxagR8B0uqwe7ghGlf6KsIZVgzJDDAelJZc1jkoJrw1aFxDaS2gzXFy4annWXHBiqL9YKp81iK4BEXcNqqaWlKcpaV01b5ayQlVBpoHUFSvZdQX/2pLVEJaztQnLhpCD2OEXtrsT0hwOqg6BobgZYa8HRQcP637yy0yYA8QhohyhM8yJYXFp/ZLC4/JsyBJpPUh8qaLLkPIwgbj8Y3PO1qpgW0uplggq4ppiurG56ADiBZmXSFgJR7lucgrIkFBxOKQdry+H9qXO6PTj88dd2REMXg8NbWxiO2HOFDQ7vIlucq+5f//oXnn76aTz00EOJ5YYPH45Ro0bh3XffTSyXlKPHYrFYLBaLRWeLGzjNnz8fQ4YMwTe/+c3EcmvXrsXKlSsNKXiLxWKxWLZEGAhYF6NrWFdNsRYAW9jAiTGG+fPnY8qUKUilgq5v3rwZl1xyCY4//ngMHz4cH3zwAX76059i0KBBOPbYYzvVlpticFJeWVcdAFDtYQy76+IcoQwyqDs4gHGi55dU++RqCsN1J8v4biSi7QNlmvuMqE5wRkDANTeeGajMHV4aFB7jTiIl+0InGPddd9GVoVMJkOMO0a6Zof9UthOoPHCXEGHO78zLqZo+ARVfk06757TFEEnHxJeJ87+W6Q8QEywcPpBH/VOmjgralkXlc8q0GyNdtlr6oRLXXWf+v5S0HoP7bqaY32VZ76n2vBL9teAQP1A6eK9BW4dhuKcJhMsSIVd0zL3klCu3GWHivSU9cDR0DJNth/sdEW9tBIBr+lQsLT5yn3T5qZQrDsBk2hWHm645/2/pjiMyrQp8t5y+z3fNqceBcFDC4aV6ZpF/bwhgWqLZogZOTz/9ND788ENMmzbN2O44Dl5//XXcfvvt2LBhA4YPH46DDz4Y9957r6FgarFYLBaLxdIVtqiB06RJkxAVy15XV4cnn3yypm25Kc+wOEmrkrQ4SQzLU8z0j4UsRwBAOVdWJx2lFMDNuh3CtQByqOsgrU/hpfXyMjEGqETClAurk5xtyTb1oFRJeJk39wvGmTD0GWqS9cmvo2xAdrhv4SpJcrlwkyV9jWuoJPtqkjkg1JCc3etT6EoneFHWniRzUbkLkHR4OSuTLFPueM0qVdJWuK4kygR+RxZKeBa7HCjOg4eZc4Cz4H4YFhzuW3G9kAUq9hwqiyvn3PxNEs3oVXJ8xHL+ksdHP0b2XcoCeP7vnAqrjAyM5uHjKpDaUEURWLJYGvDqAKfdb6cAEN9SRIsAKWqJhQkChUZiXgfuB4PLgHDRX/8SuICXDvpLC4CX4cGacab1n3JwR5MYcLgRAJ5kYQp7Hxw/qwRN9VCSX07hhSXeq66jMyZRS5gtauBksVgsFsvWiIhx6pqrravHWwR24GSxWCwWSx+H1SDlig0Orw124BRDxikilXJUAGDYJUcjHkBZRrnUQFDwHBQ98bB7nMLztZIYo2p7VB2AMAVXAtHdFoSDIwjkpFS46wDfZee76wBhljYst0SPDg3Z+3VXnCofKhsOoo3tcIU/Xg5xLhEuQBJqsrQNGKdAEOHa0fqhB6KbnjouK0jsp1GdfunKnaruTgn3pysCPuXaK9nOS92tYY+lfizlxjUDAcLJT2Pb41AK9VxzQ6n2tOc+sk5VVuugsXgi3F6CWzPGLWhceqo2i7r1dnjgepKuO7kzSbOp7Hbd5ad5gkqE9rVXCIk6f92Nqt1f6XJU3lYG0AIJ6nO4cotFugmNek23LOeAkxMVcQdgdR6YKwo77RQ07997X9+JF/1DPfG+kv0hzLwMIshbO3fNbUc9PVicg3iBWjjPeoY2EyFcuOgAUIeDUCZccvBddfJUfFedDMGQbjr5TDqUgYLDSxVh2bqwAyeLxWKxWPo4Nsap72AHTjGkU8LiRBFhbYoJCGd+8HfBf7jb8y4KzEGhKKZCjAUK4HqQYRxejJJ3SZ67qFmzHiwuLWGACHCVweFSngDBLNkIbNa+Jv7eSixP/raQ3EG4SHJd8GfaXFknjKXf0lIRzjkVF3TOy52EVrQk2JVH7id+BK1aOq3WXGvHRljL9L4ZK9k7E0hexbFRj5sezKzXURJsr1vAHATX3+8PoVowLgLrUPgZ58w3TckZfjXv8QhLEi9zfQEEys9qg/496kRDj4p6/jjMlRiioLJ86M9YKJC8tFnNuptkmeJC6TpKXqPkkKjnQgtuNhYFSCu0YdLR+uppAfKA0BEId0KXrAhZTr1+XlBvminzEHe5TP2nDtKHAiqVYzjonYgg8GK9+OpleWD5U7IDXLWBrKeeMUpMuQFCGagT7KN+PlL9O4AS6Rnx/wIYFihKOIpOz8gRMFCr49RH2CJz1VksFovFYrH0BtbiZLFYLBZLH8fjBF5nc1pqdVi6jh04xeBSDynqKdec4Z6LMXcWQVFkFPmiuKwdxRQ8LeGu0gVBqfp42N3GokzxWj16eUK4UV6vl3HTPQiKwKZPpetBNhAOLCVqg1QANlxjUQIu0Cz6RhCuWaaEcIAwINwDTAuA1fRYSmR8pJsuxvdTKjxtbkjS/ol715RIPun9KIcWlAugxB1TqotU2raxm0dsD7vJUOo+SmgivgCHeI6Uy0LuCwJs1bPgJ0VVzy71n139XHX3q95QkgvLby8IHi/X+XAZHrENwfOu94EGF9dwx6ljtN+e7mILueO45uZTbj+9ezHXhDAYLsnSZy7hmada9/RzlXpN8jIoN2RQpUz6TfzfHUvJqGhuJA82lLjlcyHPU3rsHO3GxT3LDsD9/yPJBMQqITATbrr8QH9DfVHpJxGpp6QvKtCCvIHgnSiDveO+O6F3PSFmcDgQuOpkGAd1eiY43KvBqjrPuupqgnXVWSwWi8VisVSItTjFkHE8uE4xmF0kBIQXGVV/txfSyPkWJ0I4UlrgoFSaBQKrlZ6zTs9HR2HGaYsy+t/E+DdQJzf3kxQzrVeca8eaZcGJUknmnKgAUtkhoufMgvk3j/k72BhjEkiIDhYzXQQGCIpgGTtCVqfwcnWjolC/ZfkKrErhnSVxxYSDE2nRiymD8t+JnrTLtxTo+bTCgdslubwi2pZz7tj+6I+FDO6W20IB1YY1z4/vVofrQcLwZ/tyWTllWgXi39JcfvHPAE+6lgno1h7D4qr6rP2pPzvh30QIEi7DCaApi6vfDCemVUn2Ryn+650NWdg0y654TIlxvzlg3tQY66S02iRG4Mt3gd6+3z+i5eTTm+TwLUjaEn+V845y8ezIPrWlgAKNNvaFrJ8sHeSX8+o4WJaJwHK/Dep6yGSFdSflMPVule9VJ/SOlotrklaiyeNcVReD41/scu9++Xexh+QIGKdgXVxVx+yquppgB04Wi8VisfRxrKuu72BddRaLxWKxWCwVYi1OMaQdT5lv45L3Ar6rzjefdngpME7g0MCuLrU/AF9pNlSXdKPJIPJqcwl5vptQxa/6weDKe8A5iObW09WspduBa2XVWJr5pni1LxSUrtv2OQm5g6LOIWGmUxLpLavhACOBi4UDcII2wwrJFaPFqUYeHxUwrF2HsJq6dD1xYrpUkrSFwkG+hsq47+lQLiaHBxpRcecZcS2Uq1NvQwvkNfV3uBnY7gd1K5cRDdxuxOGGG1lpAvmPDnVYcM+I/9yENMliXWFxgc4l2mWh7eHnIaIao44Il6Y4B6H5owcax3k3CBfnxUnwm1AK1f4+457qrqmQ+7xkYYahV6a5xUKB9aIj2jlxhJ5lnuyG1lyChvZauIsODxZppIQ7juvaSI7v3kox8ZGaStkiih0OeMFRlRIvCBwnDMErxwUK2/gus+Y8GuryyLjCDSYTrctsCg5l6j2rgrRDz458NxaYg7yvpedxaoREpBzhpsumCuI7ZUiFXHVxqKBxGvabdw8MXV8V1zM9/eJjB04Wi8VisfRxaiOAaZ1MtcAOnCwWi8Vi6ePUJuWKHTjVAjtwiiFFApNtmCKnaiVdzkuhwxOXseA5huaTNB+71FPfJdJtIN181NdiCq+Si8Iw6ftm4uA4AOBKgyXstuOa+JB03SlXEyPg/jkzYrrfuNS34aXnwFV6hPDSpNhTMNGXKml/Ev8/0Wk1ot17FaXwSFpkFPNeIXoftL85Q+CqcXjsCja1XdPGiUvGqjyX6nIG96yia6q5IktSboRXWZW48kKdlrpjLoOj6eaUc2MQ7TdACESaFvheKd0dFHUPI34nHKYuknRJx/mhSlbKhbprupxDK/A4Uy5h3W2nuwXlocTh6jcR7p+xClVLxQJArV6V20SKEa1Psk7/P8ptK9168jklEfUYFwLKpRbebl4PiHeG+p1r/SG+m8713zUO9123flmHgfr7Uq6HlMOMcIW8k0JuM1V1Ef2eaefiZTmc/h0AgMZ+OdS5BVVPijDDHUfDf2s3OPxsFjlF0RWNFJkYfMjyruMhRRnS1Cupt1J4D7nqLH0HO3CyWCwWi6WPw0CqjoGNqsPSdezAKYaUrxwOCP0MaRlqK7poLaSRKwjBEd1qQIgIWlSaIIQhFQoIV9ofTAQphoN+5YPNEmblhhq4MkT4QZNE1EFJUI8eOK7/W6L9RIjaRmhpECrXgiq5pscjg2BLrAfcPDaJqKBgzokIUo4MqA03EB08XCm6hFJUhlvT6hVYD4hmHQAPKRSFjWieFuiOCOuALBuhvxOpDK4fI4PmdYuZb20ytK5ClYRPlaQCKwKhHI5vSXAcppKf6npkUej7orTI4p4FzomxAMFjRHtGI4KiYy+GbDzoT2k/AgtelCVLt6wGgeKm5SlQ8jfPT9WjBYdzmeBbWnQcPXBcBpKHnivZpLZyQBjIQhZD9dV/C1QSQBy+lg4XizH08whZnIiu1US4Uu52XAbHDw53Ux4cxwzcdlOBll17kYAUAxMooUCxQdSb3n4zGutyAICMW0QmpKMXzt4Qfq/G6S2l4RkWKQYSa6GiET/KsHZSuAyhPaQcbl11fQZ7FS0Wi8VisVgqxFqcLBaLxWLp49RGANPaSmqBHTjFoJt+GQ/cWi35DPLFlNLTcAhXZmmp0ySDwaUmSFSwIaUcRU61Nvz6IvoiXXPSjUcMV53/NwnKOiKUVuwnRHONyGTAvvmba0G2/nlK16FuqVdwzdtjeMm44bqLcpuREr9VeUjINaKniymtx/TPVBUkbujeRBcsdZ2IL6b2jnn+hm5PSMdI6ODEeFWitsWcD09xcJeDuFJMKXQML62OaK4T7okXKXGE9o6bEW4HhzLlegZMd1fU8xx23cUlwmYgxj3UNXVK3X+aS5GIIG1ZhnMCSovqWMYoikVxLl7B8c9Lcy3p2lO6646bKWA4N9161Nd10nvDtefScEsiuE2cEXBKwOR9JzBFdLipiUaotp9rv6+wSzqM9tvXNsYWNxYp6P1hRLjrNG0maEHPRP1HVEIoV6476gSuOuq/Ax3NxZYiDE69cMFlMwVsytYBAAoeBe9wVKfqs4FuU8YploY5RLjnIv+F+V38He0XryQQnBLP/B52+1UZTN5ZGCeJi4YqrcPSdezw02KxWCwWi6VCrMUpBgKuzVwYqC8J7FIPHqXKMpRxiobCuL40lhKOVGipqm5hooyrGQBD/GxCzTSYXNILTfFXKoUHFjDdAkV4MEMGQhYoEsgXAMICVfTPjEdEV+vWKbU8XHWFG+XM40rPqTSQPOLcdVVjAJyFLFcJRCV5TT5ANQrdTGOopYsNmmWpNPhZr4trFifiV6tUqjnE7D4lCyB62TjkMnFZt3ZjASDLhFK3fmwoIFkF8aZEOT3xNPOfKRnQKwOhdUkNwJxlR54zKrNEAeb98BiJCFj126QcnJuJXF3NAuY6QdBvkVOlFF30KPKeo86tI58KLD9+/6MkD1R/dYsT4SooXgmEh05JtkOUjoSwcnFwscgC4l4wFkTq60l0ZdA41xog2nNSYq3U+1BWFiLuOJQm7fa3ixOPMFUieCbkRxI8L+HFAeKd6PiJcNOpIhoG5wGI91reC2zsDem8Ya0PW5t0wnIEeplgOzPKx9UV3l8NFBysh/S4WQ1cdVYAszbYq2ixWCwWSx+HcVqTTzXMnTsX++67LxobGzFkyBAcc8wxeOedd4wyn376KaZOnYoRI0agvr4ehx9+ON59912jTEdHB2bOnIlBgwahoaEBRx11FD766KMuX5Pewg6cLBaLxWKxlLBkyRLMmDEDL7zwAhYuXIhisYhJkyahtbUVgPBMHHPMMXj//ffxyCOP4JVXXsGoUaNw2GGHqTIAMGvWLDz88MNYsGABli5dis2bN+Nb3/oWPM+La7pPY111MeiBiCkwwNfqGJBtR97Lq31p6pUEeMsgblmH3K7/DSISCUsF8iKjhrlYd92p7dJloLnMKOG+yndgVzdcD6HthEOZ90Xi3tB+PxCSRboHdF2dUheY0oAKmcKjXWXc+MfsQ7TZXNeRUucX44rQVaV1zZ7IehkBlzMxZlaaaMCPcy9qbotAZZqDOIDugYHDgbR/T1OBmyzOFVbSDko1ivT7QigAwpDJiASmbsoDIaVuOEmUO46G3C5xhF0d5crKZyUVWg3BOVEuN7Hfd90QZiTJjnKL6+jJt4uMYlMuq1yCRS9w6zFmusjVtYvQotJdnHr5OBer7IfeDtcU/dVj6Sf4DrvuVBuUlLjr1LekBzTq8dT+KEmKTELPHtf+1dz/POyOC7URDuI2FL9DbvBsqhCr1RSmRC08JnCckng3X7j+uKBxACrAXU+sy/wkwVF1dTceCLwuClhWe/wTTzxhfJ8/fz6GDBmCZcuW4cADD8S7776LF154AcuXL8cee+wBAPj973+PIUOG4J577sHpp5+OjRs34pZbbsEdd9yBww47DABw5513YuTIkXj66acxefLkLp1Tb2AtThaLxWKx9HFq6arbtGmT8eno6KioDxs3bgQADBgwAADUcdlsVpVxHAfpdBpLly4FACxbtgyFQgGTJk1SZUaMGIHRo0fjueee6/qF6QWsxSkGMWuRsxGKNAlmvvVOtHQ94wRF5qgZTkrlP9LrFf8WmeN/l2WZsdxUn5lFos/oOAHVCxMY0gUSYXEyvzsIZv8cXLNAUb+MVi3haqRtyhjItqIDbhPnZVUspebJNfmSCOqLofBsWqB8K5OcxWtB3AAAplu2iJiF67NLWY9HSmJzOSFmWd0aRKFyv4FykBQHkcu4HQ4SWkhAtJl5uL6wRUedi74onnCkUkwpN6cclhjknWQ1qjTwO6psVcG4BEaeM8f/DcpgYd1yEacUrazBkMr/BFmnqH4T7QVX5ZdsL7jwPAqPScuQ6G2wgIIbVkxakqdPsxJHyXBw7ffEoPKy6Ysr4Hi+1TNoJxxEzrUgc+NyljVPxkR/S0V+zQIuzzeyFg4tYL3UMpokp6Lnx0xS7e4s8lmQ7+tKZAmcuGc36h3jn6fHCXKeq8416xSQol6i1aqWeKjeYhRVBwCMHDnS2D579mxccsklicdyznHOOefggAMOwOjRowEAu+66K0aNGoULL7wQf/jDH9DQ0ICrrroKq1evxqpVqwAAq1evRjqdxjbbbGPUN3ToUKxevbpL59Nb2IGTxWKxWCxbEStXrkRTU5P6nslkyh5z1lln4bXXXlOWJABwXRcPPvggpk+fjgEDBsBxHBx22GE44ogjytYnNNO6NhDsLezAyWKxWCyWPk5nVsVF1QEATU1NxsCpHDNnzsSjjz6KZ555Btttt52xb+zYsXj11VexceNG5PN5DB48GOPGjcM+++wDABg2bBjy+TzWr19vWJ3WrFmD8ePHd+l8egs7cIrB0dRvHeKpAEEaGiCHgwWpw6PNvTDdeynqgXEqAs8BFH0nmBFozs3jwrolslz4OxC4COJceHpZGSjLOQmUw32dljgNJMaDoOso9XJTJyc+WDzs7tFlkmRZXS3aLFtab6lGlfASMKYdz4WbDdp3PdBb11+SdWmy0YE7g4YDbInp/uCBawbEV1p2gk4RKp4X1cnQdZDnRygPPCkh/RxCAM8LnjgR8O93z2FIu0U4UpsJIVXshMDvcsHelbjjoo6LIs7lpn+P1+qJcseU1iFd4YBY0JH3XeUOZcgXU0pPiDEGzw/WljjUrFu6D2Wgvb5gQv6+5O9BPYPEA6eme9tICEyIdg+D374MIufyN0q5eK7UM2YqkBtE/XSVTDtKNMmSIKEA+PB3vXqPU/GDA+BQAKEFMkmEy+n3uyQ4PGZhgDwuyUUX97xGut38H7EH4odwJJ5Ct9EbSX4555g5cyYefvhhLF68GDvuuGNs2ebmZgDAu+++i5deegm//OUvAYiBleu6WLhwIU444QQAwKpVq7B8+XLMmzevk2fSu9iBk8VisVgslhJmzJiBu+++G4888ggaGxtVTFJzczPq6kTqnPvvvx+DBw/G9ttvj9dffx0//OEPccwxx6hg8ObmZkyfPh3nnnsuBg4ciAEDBuC8887DmDFj1Cq7LQ07cIqBgscGMepWG0fLY+RxAodwZZ0qMatqkxwhI6DJEzCAEXNptG59igpGBxBYeRDMZI0g1bDlQK8fol7qL7P2GAXjjl+ttLYFs2szUDwqB55fbzhgOmQ1SpIckGVEf8xylHIlk8D8ANqwJUYu6Wcs2Cfag5JzACEgjJvB4bLTcnl/yOIUpTQtc3Wpc2O+aUrlHNP6T2EEf5NIZWbVPWFl0mbXyvpEzO/yXGVlhEDlDUu7RaQcVmIhSQr6LmdZEqeSfEzccXH7Eq1FMb/BRItTnCVCs4hKRX9pfWotpAEA+WIKBUYrUpuX19KJeDZkOyqXnm6JghlILhcvxFqjOAHTLEOlUga6iVb7U7NcqUvgaL9DFlwTUS75HSMrI5T7VlWutur9FVY2Ke/BAFAV8M+0+igX341sCp0MFk8K0KaElViawuXj2tXvk0M4sk7BeK87ofvfnXAk/H+gijqq4YYbbgAAHHTQQcb2+fPnY+rUqQCE9eicc87Bp59+iuHDh+PUU0/FxRdfbJS/+uqrkUqlcMIJJ6C9vR2HHnoobr31VjhO1HKCvo8dOFksFovF0sfpLVddOc4++2ycffbZiWWy2Syuv/56XH/99VW131exOk4Wi8VisVgsFWItTjGYOk4hYkbtlHAwkMigcrE/5L7jUGZrGSyuXG7ENPmHXXhxCYGLjJa4/MIBl0xzCegq5EwLvlQxpNKsTrgf7Cr1WrjSVdLPGQjM4dWYlcOJX0X/HCPYmXOt7x4F84IgXuowUIcrl4ChOUVNDSiuFJxFWU6ICnaNdCGSsFyO7rPUfSPC/aH0o3TNHel+0x+dUHC2rttkqC1r2kFBgtXgmohkuHK/CAgH4LvpzGOByoPCK3HJhY9J2ha1vVwi1/DfsdpNES69uN+vHtybIlRoRPnHt4KDeClDvVzH4wQFP7C8wERwuUw87FAGxwm0o0ylfdNFV5IoWPutCPV0vzwTi0+kJ1m67rgqyzU18tDCC3DjGSR+oHbUPpVoOOa9oic/Fs9xtOaYUb6PEpX814kIFvdAjPd1inhIEaDIA/dSOKSjOykJw+hkHZauYwdOFovFYrH0cTxQeF10EnX1eIvADpxicAmHGzFjFcqtCYGIMK1K4aByGUwuLFFUzVaKoKDEi50R6HUybem/Xrdsr8ioae0JLUHXc+oJtXMtT5uaTDmRQcRyN9MsVeHJZVIAcvj8lBSCYaXSlnczqupinIB5QY4xIFDMLhZTIISDpX2V7BRTQdIqiNXvRtFzQB0Grsw/MRYkuSnOehKxJJsxopaOM/iyB34dRAsQT1IFl39GB4dzI9+csIZ5ytJGKYfrK9Y7NPo+xN0bU1W8Nlakcu1Ue3ySKnRQlsXuKy3rgXIGmhJlU5RhUz6Ddj9YXCxQMPvA/X89RlD0gt8lIRyuXFRBmRko7v/WzABwLfA4dE2YbxYrMvF7ZVqOu3DwuIrDDtUpCgi5CkA8G4a0B9VU0RkFZ8GiEF2AXn7XZS5IyAqqW0cdqgVjh94FSfRk7rewpSlWhoAGi3+irFKxx1q+0NiBk8VisVgsfRzrqus72IGTxWKxWCx9HAYK1kVXW1ePtwi2mIHTJZdcgksvvdTYpicJ5Jzj0ksvxU033YT169dj3Lhx+N3vfoc99tijU+051EOKUi2Q2nzg5HfdJVZNkKDQ/wiCx9OEiTojJgTU38dCpv+gL8HfReYEatRl+hR21eWZA8f/26VeosI317SlwgGw4WN0E7x0ZRSlGi+jKDKKQlE4AYseVa6FYsFPhOy73JwUC+qkAPO04GtGwAngFYLATbkr5R+vXIuEg1IYZviS6667QkLIQPKwG0KqRXMtOTSXQeeUG64StS1CA0gGgDtawDqNaROAcCn7j6fuxtNdKPK7rMPvXck+STn3WaUB4dW65coFf0epQUfWU0UiWQainhGxSCO45/lQoLjreHD9APCC5yDvOWq/R7jyZacdz3SL+9YC/bcifwP6fZfIbdLlJ4PFPf89wFjpc8lDFgm1cCJi4YNawKC+80TtMsN17Lvjop5JuRjBKQkeD8rKeyOfz7hFALr6d4lyuLGPlTwromygFl5OKTz6efYi/wdJecg1p79HuhGPE2OxUWfrsHSdLWr4uccee2DVqlXq8/rrr6t98+bNw1VXXYXf/va3ePHFFzFs2DBMnDgRLS0tvdhji8VisVgsXyS2GIsTAKRSKQwbNqxkO+cc11xzDS666CIcd9xxAIDbbrsNQ4cOxd13343vfe97Pd1Vi8VisVhqho1x6jtsUQOnd999FyNGjEAmk8G4ceNw2WWXYaeddsKKFSuwevVqlRsHADKZDCZMmIDnnnsuceDU0dGBjo4O9X3Tpk2R5TwjpYlpqJPmzwJ3SlZYOIQr3ZcwpbL/wfcSXSTClGssbG41tUZYxe5D5aojvkuMcBSJ6YKMc3kUOVUuPt0dAQRuCJU6hRPDdE8007nrCHeldEXk8yl4ef96MbHyx0n5bhSHKQmtYtERmknSZaF0kkrdEYyFkw4Hx8jz0let6WXC7g9CdK0o85p4TOhiSQ2uksSooT6knOCapBwPRU/ThyEcNKIdee3Cujnl3HOqzhj3XJROUtT3uO3VuOQ6r+VU6ppLcslVutpJ11dLgaGf24G0747Lew5ynnhNFplQbpZtpp0i0sxR901PwJyS7iP/Psm0SYaGGot4JiXyOP8Yx19l5/mr7DxNjCp8bPh/joyxisoZCaJDz5+jaV2FU/dEpe2Juj9ynyTKTRd2xZW46oykv4GbLey6A8yEvnpZR/uutiW4c2l4FbV22RgoGO2ZVXWc09I0Xp2ow9J1tpirOG7cONx+++148skn8cc//hGrV6/G+PHjsXbtWhXnNHToUOMYPQYqjrlz56K5uVl9Ro4c2W3nYLFYLBaLpTree+89/OxnP8NJJ52ENWvWAACeeOIJvPHGG73Sny3G4nTEEUeov8eMGYP9998fX/rSl3Dbbbdhv/32AyASz+pwzku2hbnwwgtxzjnnqO+bNm0yBk9K78OPtIxSw9ZnAXmWUrOiFPVAEejqyCTA8u9wWdeYBbGSmVzQXsjqpR1XbRJIjxMUSRAYW/StY2GLU1h1vMgp8jAtafKYIqOAF6if6yZmSoQ6saqXeiCuaQmR9j+vw6w/5WgJlVk4kF5Ym2QguanjJGbTSjOKEaE0Hgp2BUqDpIueA6IF4qYcs14g0JRKOfHKy6LPBMzvAyEcKcdTM3yXeslWpNBsX0ef4UdakRKsTNVYhtT2GA2lSgLG4ywRxr6YoO9KrVEAIi0IUW3KZ1bXV0vBQ9r/zRYdinr/N5FnDjb7+k6ASBDMUETetzjpyYMZCNLUK/3daFZaVZaXKv3L44qMimTc0orp/35c/RxC1tESVXIavXgjKqG4xCHMsD45lCEqwFu/hoC4xg5lJecd1U6UNle5YPCwlSkoyyItTOE2pbVJvdfVMXEq8wkW+x52e3kgyvPRlTq2NJYsWYIjjjgCX//61/HMM89gzpw5GDJkCF577TXcfPPNeOCBB3q8T1uMxSlMQ0MDxowZg3fffVfFPYWtS2vWrCmxQoXJZDJoamoyPhaLxWKx9CUYN1dndu7T22dRPT/5yU/wq1/9CgsXLkQ6HUxcDj74YDz//PO90qctduDU0dGBt956C8OHD8eOO+6IYcOGYeHChWp/Pp/HkiVLMH78+F7spcVisVgsls7y+uuv49hjjy3ZPnjwYKxdu7YXerQFuerOO+88HHnkkdh+++2xZs0a/OpXv8KmTZswZcoUEEIwa9YsXHbZZdhll12wyy674LLLLkN9fT1OPvnkTrXn+AGDXokZnaKlmFEurZyXMtxQlHBkHZFkNeMU0ZDqiHQbdHgpbOJUabkwTpFyCnB9l4FhXg4dH6XFEac3BZQ3zzIq+lvkjgpk190Foj/SreBrLHGKrGO2mZfHUgLmX4Mwsk5ZVrr1aLoAAGhI58EaRb2t+TRaWrPKFVYoOoHejsPgOQys6J8vL3VF6O43xiiYnG45HG7KM3Rp9GMouHI/iDqpchNmUoGODyDcfyohK0jILRbcK84JUHRA/OuYTRfgau4PhzI4XuDeiHLHxV3PuGDcqODdcn+XC/I2ylbiqot165W6RsoFfMctnojud4WB4YhOkcRkX3gQFM04QT83r9x4WaeAIqdoK4pZcN5z1O9Zlpf1ZZ2CubiCOdpvX2ipRbl+UpQZ+6KeDf04j1Plkg6XLQ0GNxc9cE6MZ0b/29X0raSLMfY50Fxu5dxZscHhEQHfKc3FFuWaU+63iDQq4fep7porcVOG3Hax7joiFgR5pGd0nFgNgsO7enxv0L9/f6xatQo77rijsf2VV17Btttu2yt92mIGTh999BFOOukkfP755xg8eDD2228/vPDCCxg1ahQA4IILLkB7ezvOPPNMJYD51FNPobGxsZd7brFYLBZL12AgVcewRtWxpXHyySfjxz/+Me6//34QQsAYw7PPPovzzjsPp556aq/0aYsZOC1YsCBxPyEEl1xyCS655JKatCdVWjtYypg1tRQz2FzIlAQxAkB9Ko8UYUj5M9I6WkCGFtUMhhKOAheWlg6kxCzJr9ulHlzioc4pRPZHnwXpFhLGCTxoM9II76unzVYZp4YFyiWeOoYSjpQ/ewrPTMIzeMbNRMIeJ0hrgeX6NRNBsuL4InOQ84LQ1vCy4zT11Iy2OZ3DereAllxGHKst13cog+sGAdXEV+WWrbopT1mnCOHgVFiZJHrAdTi4lRCA8sAalXKKanl6NlVQlizGCTglhgq6vI6qPn9bgVFQylDn9yGdKiJFWGQwd5ioIF5dfdnYXkGwd3JgduXB4tVIAZSTLzD7kCDLUWH9YfQErWELbFRybar+pepLilOkSVH9Rik4mOcGgdycqkDxFGVgnCDN/aTThCFNC0FwMziobm0OyYhIhFyI/vs2pT8YJ+rZpOAoctM6paMroEdZMD3tN+8QZliWUiHrDSWBKnqUrIDe/zjCz2M4+Du8z/UX24jvTC2miVL/LrVIxgWLJyeEdsLPWei5dYkHSqPf2bVma1UOnzNnDqZOnYptt90WnHPsvvvu8DwPJ598Mn72s5/1Sp+2mIGTxWKxWCyWrQfOOT755BP88Y9/xC9/+Uu8/PLLYIxhr732wi677NJr/bIDJ4vFYrFY+jhbY4wT5xy77LIL3njjDeyyyy7YaaedertLAOzAKRYZHB4Oumacoj5VwJCMyIGXop4yC9fRPAAod1yROyhyJ9Ab0pJDpqiHOhTgOHn1PUOLKjg8Sv8kbDYW/RQmeNkm4wQuZcrl5oCh4OstFeAgKnEllQHpnKi+Frij+iLb1wkHzAOA5wTbiixQUdf1qTawOmwumlo4WVo01Jj1urfJtCPjB5oXmGNo1hQ8R5medZ0jdb00l5p+DiTkapB1ib9h6OC41EM65SGbEub4lKYSrJb4+sHhXAv01vskqXMLStMrRYUrRJYRLhbz/krNHyek3RQOog23VS5oO1afKcYtVrKvSjdcdIB5ZYHeSXo8cfWVQ/9fh/ofSYwHg/Ggf9Kd1uEriTMQEeTt36ciC9Ty5fPEtN9EinrKNU8JR0q6ifzAa90Np/dLd5OJNgPVfhAzWDsVTkALTTtK64u+AEKWSSEIsE5TTy1yke2mQq4x2cckzbngOpZe4Ch3XLCPGcl5ZRvyvuvv3bAGU7XB3lHvVb1fcWVl8vW442tNOASis3VsSVBKscsuu2Dt2rW9amEKs2UNPy0Wi8VisWw1zJs3D+effz6WL1/e211RWItTGfql8siQYClxk5tDP0d8JNLaA/jB1v5MrI2l0eal0VoUwc0eiLLiuJShn9MRKT8g9mtL3qVFh0sLBDP2MU5UGy3FDLJOAU2pnGpHWp8ypBi5RFkPKJezuAyKkf1S5bRZnAeKInfUTNwDUbMxAGjX9m0uZlQALSCWcHd4KRX4nU0V0JgW2uFpRwSKN/nfiyyQb0gR05pkqJYjsAZJKOGGtUg/tsioshIVPMcIos26BdSlCmoJum6pkvn6VJC5H0TrROSuyqYK4nyUSrvZf7Ag6F8GFoctZfq5VBNsbW5Lnh13pt6oOuNyf5WTDYizKsWVS8oxFodnPBfC2iPvuLKeSuV8wsB4sOihyPR8ggxpWjT6pj9zbUVXPfeUcOQ8F2lf+oOCq7+lZUXPRRlYuM2VVIwTpGlYQiFo3+wf98uXLpdnIMh7gQU3TT2kHQ/9UuK3Zlp0eFXPTZQ1Oi5/Zrn7H7Y46u/LagO7o9ovd0xBk2jxQOFAVx1n8DhFR88YnMBrsKqOb2EWJwD4zne+g7a2Nnz1q19FOp1GXV2dsX/dunU93ic7cLJYLBaLpY8Tngx2to4tjWuuuaa3u1CCHThZLBaLxWLpk0yZMqW3u1CCHTjFkPdSgJfC4HQL6p0OTY22pSTYUJqP21gajFP1fZtUK/o5OWws1gMANhWzQRC3R0XAo8P9OgolAZs6JUre0txMGFziocE3sbd6aWzI16PNd92laVHta0rlkKFBwKc0NatZiNZ0VAClpwVCiuTFoq4O5mJtPoN1BXGeReagreiqhKh5L4V80Q9QZw4o4YYuEiXcSOAbBKgWDQ0oh3C0+xpQeS+FIqdGWUq4clXomjrSZaH0dhiNDbSkhINr/XGpp9wY+r0AAOaJOooqSJajzi2gPhWt6xJWQtbdLYwSpP1g3FQXgk2rCZKOIsn1leTiiGs3yo1SLrA78pgKA4HjMN220Xpnfknxj+ZiUgHKEUHvlHCkpfvI7SjRBmvzf24pIhXAxfObdQqGK0yUkXpMVCXuZojW7tGfHenWl78t1T//fRK4pB3j/ZLSkvGmCEPWKah3hUs8uGqRQ7JLLIqwrlzUOVTiZg3rL8l3q0NYVS63su3ElPeYizYm3mNS009XKKeEoaPoRB5ba7bGVXUA8OGHHybu33777XuoJwF24GSxWCwWSx9na3XV7bDDDiAkvt+e1zMpb3TswCmGYdn1yGZdZEkRLikmzrZcCAuDQxkKPLikDhiytADXDWZJ632rjJQekBYgab2RM4ICd5BjYnba7rmGPIBLmTETK3AHLcUsACDnuSU/jqIKbqXGTE397ReXViX5d5gMLUTOWMIzvyKnWN9Rh41tIoivUHRA/dlrXaaAAXVt6J8Wwev1qbxhBStwM1A9RTxDIVgG1LaSDNqKaWP5dIYW1ZLrAnNQdPRAcary40kLlC5HoKwK1EO9lo8sRRmyjhkAnGfRPxuHMDS5HaqPJdcpYUm/S5i6DlGz36SZYrlchLUibCmKoxpV7yirQzV5xOLKhX8DDhHBvQp92T6JurbS2kLgkuC+UI8HzxF4icUxsOB46tkBtJxzKuicoxFaILZ+bQlT99QBhwei9ofvtWFJoxxuyELFOEVeW7yiSwqkCFNSH3W0gIxTVFYvl3jqHeB2IhebF3pek4Kaw2WjkO8qR+u/2hdxbeKe1ajfStJzXe90mErspDS3YTWWOEv1vPLKK8b3QqGAV155BVdddRXmzJnTK32yAyeLxWKxWPo4W2uuuq9+9asl2/bZZx+MGDECV155JY477rge75MdOFksFovF0sfZWl11cXz5y1/Giy++2Ctt24FTDE1ODnVOMdY1INFdWg5hcLlnuAR0M3ez067M0llaQL2vNC7J8ZRyz232MujwXUIyqLOV+cluOVVB0NJVIAOhi5wiTT3lPsgSjgbHDw532pGlBWWudomnXAFRME5LTOKe72tu8zLYWBSuuE3FLNbnG7AhL9yF69rqsak9q0zYAxtbMSDbBgDon25Ho5sz9VgID7kXfHcbFzoz8jp0sJQ6r035LDYXAlddPzePJjenEiwDpiIxC2sPafLgRaInai6gX6pDuTDCQa1F5oD6SV7TtIi05yJF2sW1dgqocwqxgaZR7iRp9u/vtilXne4y1a8HEHI3IflFGB8A3T2EA7eNfUnuugrdb1Hu46hEzaKsWc7jFBSBKr/c70FsDxZIUHhaALCLwJ3eQDgytIhNvltc1EWhe3pkWam0nUoFgdUbvKz6neruX+m2l7+J8D2WfTa+a2X0JN66ppx4NwRaTSmHqQTFGVpEinro578bsrQgEtbKhRgVaDcZ1yCBpPdLpWXD/Ylyr8nU4Umu60p+EXrdGcLgpHxtO1r0g/VFLR0sJd6hPZTkd2sdOG3atMn4zjnHqlWrcMkll/SamnhFA6e99967qkoJIXj00Uex7bbbdqpTFovFYrFYLP379y8JDuecY+TIkViwYEGv9KmigdOrr76Kc889F/369StblnOOyy+/HB0dHV3uXG+SJkWkSWlOJ0nsUljCjBm0Q5iaKTuEGXmeRLC1bk0ILR2WM0U/l5W09lBOVACyVPiV6rZtxbRYpq/lQGv1hKWqzikgSwvIasGuWVJQM9wO5qoZq0s8ZKl5D3XV7A7iGjn5NhfS+HDdNgCA9k1ZgANug5iJudTDgIxvcXLblJUpinbPVYHuGzrq0FZ01T4ZYAsAG3N12NyWUftc10NTXQ79s8L6Iy1HCq25FGGG9EKKMCUhsE26FRkaLAZo91xjZuw45nLvrBMEzDekOoxl3El4XKhQN7h+f2keWW3mqs+awzPzcoG3ccG2PTXbTA4GL39tyuUIi6w3YptnBPF66jo5JNinrE0yQJyzErkC+Xc/Kiy20gLaUsz6khmyDW3BBnOQdQrKAppnKRQZVe2mtMUAYYtTODOA6AMxvuvI++qBwuVMWaCkVdqjRLXTLyWs3P2cHOppHhn/mXOJhzSJXtQQdT0NtMcqylqm9zF8XFz5KJKs/3o9STWWs46ZVi0h9eL6UiT1tAMeqJInEO/IAnKp5OtWK7ZWi9OiRYuM75RSDB48GDvvvDNSqd5xmlXc6vnnn48hQ4ZUVPY3v/lNpztksVgsFovFZGsdOBFCMH78+JJBUrFYxDPPPIMDDzywx/tU0XB/xYoVGDx4cMWVvvnmmxg1alSnO2WxWCwWi6V3mTt3Lvbdd180NjZiyJAhOOaYY/DOO+8YZTZv3oyzzjoL2223Herq6rDbbrvhhhtuMMp0dHRg5syZGDRoEBoaGnDUUUfho48+qqgPBx98cGQ+uo0bN+Lggw/u/Ml1gYosTtUOgkaOHNmpzvQlhOncH52HzLtht0HYhG3qJDFl6qfgaPDdX3meggNmBLFSwlFIBU4HaX6WOkz9/SBk3WRd7whzu3SbbSzW4/N8P2Wuz7OUUtveUKiDA4Z+fgLgLIoowFHttHhZbPbdehlaRHOqTQWwy9mOdMNkaAGD3M0AgH5OB1oKWS1hLQFnQCEnHq/PNvcD8Y/L1bmoT3UY2k2txQw25EWg+aetjdjUJlx1xSIFIYDrirJNdR1I+2bxTKqIQtpBQSqSFxxsQhYdRdFmUyYHWudrPDnFktmaHkTOQJD1g2brHBEkK+9ZnWO6U/WAecYpMgi0pxyI4OFMjI6THrzrwQElDI1+suh6mg8li9WeKZLsuhP1JatLA+X1cjq7VLlWCs6RyYIr1I7S0RP0AsF1kL8sjwfK3H7Lga6T5rITdQSlCtxBvdOhEmgzTo0AayBw620qZIXuk1Krd/yA8GDBgnTpysDsYMFEOBk1VedUYCnD5a+fn0hIy1Dwz5QRAgqiAsL7OR2od8TveZtUK7KkEGjDRbjpwosLVPB6wnPkygD88LOku/N01XOYGlFxrrsoN53pnjPribOsOIQlugf1dqRSeZYU/DYYOnjguq9P5ZElBaX4391wdF1OoNpf05IlSzBjxgzsu+++KBaLuOiiizBp0iS8+eabaGhoAAD86Ec/wqJFi3DnnXdihx12wFNPPYUzzzwTI0aMwNFHHw0AmDVrFh577DEsWLAAAwcOxLnnnotvfetbWLZsGRwnWXmdcx4pgLl27VrVh56mUw7CDRs24B//+AfWrFkDxswH+tRTT61JxywWi8VisQh6w1X3xBNPGN/nz5+PIUOGYNmyZcpF9vzzz2PKlCk46KCDAABnnHEG/vCHP+Cll17C0UcfjY0bN+KWW27BHXfcgcMOOwwAcOedd2LkyJF4+umnMXny5Mi2pT4TIQRTp05FJhPEtHqeh9deew3jx4+v6nxqRdUDp8ceewzf/va30draisbGRmMkSAixAyeLxWKxWPow4SX+mUzGGJjEsXHjRgDAgAED1LYDDjgAjz76KKZNm4YRI0Zg8eLF+Oc//4lrr70WALBs2TIUCgVMmjRJHTNixAiMHj0azz33XOzAqbm5GYCwODU2NqKurk7tS6fT2G+//fDd7363wjOuLVUPnM4991xMmzYNl112Gerr67ujT32KqFUtevoTaWYHhKncQUQiUvmdQLn9sqRQqj0DhgFOKwBggNNqmJSFW09L++GndkmTIjIkSBiK9Fq0ZLL4tCAeutX5JrQUhOur3UtjLYAOP9Foyl8VYvTVr2ezlxGzE1e2z5HjKWz2V7y1sbRatdPBUtiQzyLliP7xxg54HoWXF/tbN9RhxSZx3EfZbVCXzcNN+WZ/RtGWSyu3Hi9SgPnXhYp0MHJfoZBCOu2nqEl5cBymXIBFjxqr/nJFF5sK4kWQ9ZOfynQTKZm4lwa6PnW+CyNDhXZXgcvrIe6bvC66u1KtevTdbw7h6Od0RLqnPE5RgIMOL+UfSzEwvRnNjlhtGE5r4YXSgBgzxYjVSJHuu5B5u5IEn51J31LOnVZt4uHOuOcAzUXnf1cuOuKVnFfYbeeoR46bq+w0CtxBB3OxjSt+o7rbS9TJ0MLEc54inlp9BwBFp4D+mXb1m6lPdaj3gki9VFDnrad4Es9i4E5npFhyPdUqL4jnRrpOXcqQQeA6ztKCsYqu0cmVuOj0Z8SLuQ9Jel1horTE9Gc97PYLu+7i6yWxq+xEMnLte6gPYbdeGFmvXBFN1XcOF576zcoyPMY1X2tqaXEKh9PMnj0bl1xySeKxnHOcc845OOCAAzB69Gi1/brrrsN3v/tdbLfddkilUqCU4uabb8YBBxwAAFi9ejXS6TS22WYbo76hQ4di9erVse3Nnz8fgMhVd9555/WaWy6KqgdOH3/8Mc4+++ytYtBksVgsFktfoJYDp5UrV6KpqUltr8TadNZZZ+G1117D0qVLje3XXXcdXnjhBTz66KMYNWoUnnnmGZx55pkYPny4cs1FERe7FGb27Nlly/Q0VQ+cJk+ejJdeegk77bRTd/Snz9DKMmAsBcaJmKkRmciXI8fcQJtJn/UQU2k6rIhNYeoHgdMS64Q+G9NnOh4nKoGwbqmi4EhrlqMsyWOg04IBqc3+sQz/YgMBmAl0ZVsu8VQAuEuKaPPVyVs837LkB4szEKwv1GN1TliyNhfSKtlp1imin5vHPsNXAhDaUZ/nGvDRhv7iWm7MAq2+1WhzCnk3A0gLGQGM3w7hwtKk438t5h14RXEOOSLKUq2s5zCk5d+UoL0oLWsM2VRRBYDLZKZKHZp4KoA2Swug4GrmWzIjDgWV62V06yMgLBThpMnbuGK2Wk/zaHbaIrV7wu0ykJLgWn1m7oECWrvy5ejq+wGjTFA2POPvHNValaIop9KfhFAAD2CcwlFK3AQU0RYoSpgIvpbXgTAApsp4GHnPGlNBYD8g7n+WBRbczcWssgalqIdm2q6sSnVOHs2pdlWfHoSsJ9gFgCwKsQHZOe6q/jBwgAKOSmAsLExSt80lRfWeyJACsiRv6Kl5nKh2xfUsDVIX1y+yKzF4icHY5axXcer3ejhxyeIcTbNLlGVlF0aostp1p+DR3oPQb7HSuvsSTU1NxsCpHDNnzsSjjz6KZ555Btttt53a3t7ejp/+9Kd4+OGH8c1vfhMAsOeee+LVV1/Fr3/9axx22GEYNmwY8vk81q9fb1id1qxZU3GM0gMPPID77rsPH374IfJ5M+PGyy+/XPF51IqKBk6PPvqo+vub3/wmzj//fLz55psYM2YMXNd81R511FG17aHFYrFYLFs5vREczjnHzJkz8fDDD2Px4sXYcccdjf2FQgGFQgGUhlaeO45aODZ27Fi4rouFCxfihBNOAACsWrUKy5cvx7x588r24brrrsNFF12EKVOm4JFHHsFpp52G9957Dy+++CJmzJhR1fnUiooGTsccc0zJtl/84hcl2wgh8LzKfNQWi8VisVgqg3MC3sWBU7XHz5gxA3fffTceeeQRNDY2qpik5uZm1NXVoampCRMmTMD555+Puro6jBo1CkuWLMHtt9+Oq666SpWdPn06zj33XAwcOBADBgzAeeedhzFjxiS68iS///3vcdNNN+Gkk07CbbfdhgsuuAA77bQTfv7zn0fqO/UEFQ2cwpIDWwO6blGGFNBfCwjMkrwyP4vgzeAyhlOJhN115r7KrqueuBMQgeFy5sAICemZCK0oaZ7PpQOL4OeFfmgtBr7sLC2gn5NT2lK6Ho+eekV+Z5wqdxfjBCn/uahP5bFzw2fYre4T/5giPsoPxAtp4c79X28E2n0XGymYMxPilLrmZMA350T9reDaP6EZGOeA52vjeJzC89OzUMJR7+SVdpMKnvXPrc4pKD2lOJeTdFOEE6HqyO0dLLjmsl6XlKbVoGCRqWdEktmQmySUODqshWMsNJAJbGWfw249HRLvkipHUmqVSumqe071RU/UC1OvR7rpdNedoc2mX2tOQ66e6CBxQCbJZirAur/Tiv7+4o56mscGpx5rCsIdsrFYB4dwpIin9ksXn0x9lNUCt9V56AtLIs6bMQLm+7o9QuFyzdVPmOECFOmWpFveK3n/COecfK/pAdwyVU1l96o0GDva5SfqTD7WCQVyR71LKWGlLr2w+6zCvuvvwCBVVrCtjWWCQH0u3r051kPB4SBd1nGq9ngpZCmlBiTz58/H1KlTAQALFizAhRdeiG9/+9tYt24dRo0ahTlz5uD73/++Kn/11VcjlUrhhBNOQHt7Ow499FDceuutZTWcAODDDz9ULr26ujq0tLQAAE455RTst99++O1vf1vVOdWCqmOcbr/9dpx44oklwWT5fB4LFiywcgQWi8VisXwB4Lz85GjYsGFqBVwc2WwW119/Pa6//vqq+zBs2DCsXbsWo0aNwqhRo/DCCy/gq1/9KlasWFFR/7qDqgdOp512Gg4//PCSvHUtLS047bTTvjADp0Ynhzon5c/Y8kYCTIcEViaKYGbromhYnxTa0uY0xOwvx93IwMhAZVwPUhQzKn3psKNZVkQQsj+T8BOYNlJh6fhy+lNs664HAKwsDMRb7SOwqSiXTGfVrBkQM1JpIQGAAk+ppbcNtAND3Y1YVxSJnlu8rKqnn9OB3eo+wS7pT0VZUsCX3TXYKbMGANDsfhV/J8L61N6SFXHhUkHZZSAxFicJ9y1HnAeB5IQyERhOgmMo4UrmwCFMBXL3T7djQLpVOy8xy5EB4WJZtqnarFuTKGHqGKEOLo5Lk2KJarY+oxtEWwy5BwcsMYg6Kfg2vDS8ZBYfs+w7arl35KwzZKUKU5UCeCflBKohvBw9agm6HuBtKEZHBY5DKnqLYHEYweIBFNxQ6magSGsWogZp0XHE70oF6mvWRvk9oxZ0FMxl79pzErbIOYQjr1mgXeKoJLTyXaA/cy7xlEXZJcXY5f4MoWtknHP54Gf9+QtbiUTfTGugsc+wHMZbp8SxpcfINo2FOCErVHm7RoDeB91j0MYyaGMZ1Mvk54QiSzpAt0A5gi2JQw45BI899hj23ntvTJ8+HT/60Y/wwAMP4KWXXlIimT1N1QOnuCWEH330kRKsslgsFovFUjt6I8apL3DTTTepcKHvf//7GDBgAJYuXYojjzzScAf2JBUPnPbaay8QQkAIwaGHHmpkKvY8DytWrMDhhx/eLZ20WCwWi8WydVEsFjFnzhxMmzZNiXaecMIJanVeb1HxwEmurHv11VcxefJk9OvXT+1Lp9PYYYcdcPzxx9e8g71FBkVkCYdLimigHaayMwfgu80KPKXMyTnuIk085VLzQEVQqpE40neL+S47aXKW5mBdu0ma2FtZBizk/ZDlKBEBxiVB6b7rIUvzGEBEPYOdVrjEw2tt4gHsYCm0eNkggShPYVBKSPGPTK9DjrnKLN1AO9CftyrX3bpiP7SkhKuukeawbWo9BiqXAAAwNFLhuqsf+A80ucIF+OynO+Lzjf1Q7PATkRYoaIqJIHEAlHLDdUcIB/MvPecIdJtI4J6TxzmUKfXyjFvE0HqhZfWlhs/Qz8mpoO31xQal4A2IQN3wPdNdJZRwFWDrgWp6O0Vx7bV7Ia+Hvj+JJBeGKhOhqeOEXBWdUXkup+pcDdWoSXeFIHhZIF2LVNex8t14gTaTmbg3KnBcueR8N56eILhUJyjY5xAPrb72WaPTrq5DljARjK3cZkKzS19UIu931HMin6mo+5HWjAYObVd/yzABV3s3NTrtyj2XDtVlqKnL6xiRpDdSCb/EVRav4g2YyZLDz5107UUFfuu6UjoUrKwbL6ne0na0oHDt98w4RcFXN3OJUA1vdIJk6x6ooe3WnWyNrrpUKoUrr7wSU6ZM6e2uGFQ8cJo9ezY8z8OoUaMwefJkDB8+vDv7ZbFYLBaLxWdrddUddthhWLx4sVrF1xeoKsbJcRx8//vfx1tvvdVd/ekz1NMO1FNHBQDrs04KHhliGTVrZDCtF7KMJ2cr8C0dhKoZjCwrZ44OXBSE7QOAORvM0oIx8xJLViny/pzc40TV00A8FcANAP+XGyrK+8e3sKyyMA1MbQalpYGx0tpSTzuURMMAZzMGOG3IkiBXGANUAPgO7kZ8o/lVAMC26fV4uXl7vL9JqJl/tklYn7jnyytwombthHAhSeBbmRzC4fgWpZTjoeg5YEwqQAsVcdfvc3M6h5H1Iih+uLvBv46injaSBnUYmlOi/xlaMIL/ZZCtuE8iyFhZB+Bpy8aL/n0ynwaHRszQY4Kuacx7LC7YNmppeJRFCpAWkdK6wzPyztIVKYFqibMiKOuPbpEIBXZL65NhkeBa37UckkpVXKsjLqBfbs/5uR8LPKXyH1LC0R9t6g27utBsqHyH5QDCAeG6bEX4OuvWF1e7v9KKrX/PkoKyOBnPDKfQpRbC+fzCwdQlVrfQsxO3zD0q4FyeT6klL0kp3CuxHMVZo0qMrxF5B6P6I/oQXO8sFW/dHBfq7xQMaV9WRNLC6lDspJXWUhlHHHEELrzwQixfvhxjx44tyVnXG6LbVQeHjxkzBu+//36JgqjFYrFYLJbugdfAVbclWpx+8IMfAIAS1NTpLdHtqpPszJkzB+eddx7+/Oc/Y9WqVdi0aZPxsVgsFovFUls4RJxnlz69fRKdgDEW++mtTCVVW5zkyrmjjjrKkCWQMgVflJQrzbQdDZSioFxeZrJWOfIvIAjGDOudeJqbThzLgyBk37wvzcwycFO6IqgW3EoJQz3pUMHiGzzTVOmBKm0Xl1B4ICqhr9Cckn0VQbMjU2sBAA31HVhb7Gckq5WuuiwpIAcXOU0Fu4F2QFq1+zttGOiI4OuRqXY4vh6OjuPXmyUcu7pC7XVbZzn2rvsA720jdMD+0bIjVmweiI25OgBAa0caRc8/b8p9F5xoNO14GFAv3GtDspuxIV+Hdbl6cW6eA0o46lyho9OUzin3VY67vsK7uEYZWkQ9yasg7jQpqiTOAMAIVYlSc8xVCvLyGoRddUm6RfLaVqOD5IHGusGiNHXCCuYKUureAKIT+SYlYi1tr+dddPJehrWudBee7r5joEYAuaEGzlHitjPcPprOE9Vc2RJd60v/fW/ysmj0g7UH01bltgOADbQen+cb0c/XSWugHcE5gcLVft+iXemeLr3WuhaTfu89kFI1e7CSoHAAgO+SMkMQTFjIlafjhVxziUl3y2iHmfVEu/FE+ZhnlIeuUajexAUSPPSOBlO/7/60DQ44POT8fdx/twYafv1pW48Fh1uAXC6HbDbb292ofuC0aNGi7uiHxWKxWCyWGBgISA+nXOkLeJ6Hyy67DDfeeCM+/fRT/POf/8ROO+2Eiy++GDvssAOmT5/e432qeuA0YcKE7uhHn6Oe5oXFiTtilqFdqlae1pYLF5X1CDCX/HpcWG70XHP6bF0PBs9zp2RmKGebDaQDjSSHrK9Q25+2Ya0n5CCkNSWwWJUGkhZ8Wfos8eAShiZ/ZtvfyWFkKkiSGJ69Fngem5D1jy3AQSCR0IAODPOX5TaSFApg8Px2wvM7BwSub50c4ADNdDN28i1QY7If4bMB/fBuxzAAwMqOgVibF1aknCeuq7T2NLvtGJkV/R2a2oRPi01YmRsAAPg014RcMYX+Gb9PqZy67uuLDUqlGRBBn7qSswjU5do94epYKUUgc5BlqRlsG2vtgbQAVI4XWhKuk2S5SrIWVaL6DCBWUbo3SAqMjwuKZ6HgbyOYWP6/QpMuUNfT/w0GquIsVmU8jAwkdjTLUQsTltNG2oE0PJWPboCzGetov2DRgWbpoOpd4j+PiH4PlEO+hUpzKOrPtnzGuK+orucxDFuRwsHkWp3a3yUB3VH9jbAgxVqigFhrVJQlKhxUHhVIbtSjqYGH89HVkw5NbkTen+D6UVC4vjq8sEQXwSIWg3QHW+uqujlz5uC2227DvHnz8N3vfldtHzNmDK6++uotY+AEABs2bMAtt9yCt956C4QQ7L777pg2bZpVDrdYLBaLpRtgnIBsZTpOgMiPe9NNN+HQQw81lML33HNPvP32273Sp6qDw1966SV86UtfwtVXX41169bh888/x1VXXYUvfelLePnll7ujjxaLxWKxWLZCPv74Y+y8884l2xljKBQKEUd0P1VbnH70ox/hqKOOwh//+EeVdqVYLOL000/HrFmz8Mwzz9S8kwAwd+5cPPTQQ3j77bdRV1eH8ePH44orrsBXvvIVVWbq1Km47bbbjOPGjRuHF154oer2ssRDlnBkiYcCp5ApYltZBh6nke4R6ZaTJvc0kcHZgcPGMwIuOQp+AlsZECwDE3WTdAPJKzcdADTSPLJkAwBgbShQPEsKhtmacQLPd5N5IEiDqe8AkKVFM6Gt6hvg8QL6awGrsg5AuANc5Rrh8DhXhn2l4xSqU/xN4BIKGd5XnypipLMOu7jCBddSn0ILE3s3+f9K94fuOmh02uEQhqzSuuLY7KUxOC0C1inhanYlr6Wuv6IHhFItcBwExv1q8PWqsr55PkuKmrp7sl6TuA5VBF3HuITKufxoQobwaoLSextdw0xt069nWOcnrMWktsttZuC4ofmku3wIU8c4xNR5CrsGTc0fbmguiQUdmh4Z5UhzsW+I04IWtw6fFPoDEJppA/zFFWniocBTSg9KuJLNRSi0jAK9Tlzwvvid69esjP6RfmxI5yn5uKjA7pjnMEbfrNThL+uJKR7OrBB6VsIB4mH9NOmea6JBwu8ol2cDisj79eaQQhoe0j20WEKujOtqHVsae+yxB/7+979j1KhRxvb7778fe+21V6/0qeqB00svvWQMmgAhi37BBRdgn332qWnndJYsWYIZM2Zg3333RbFYxEUXXYRJkybhzTffNASxDj/8cMyfP199T6fT3dYni8VisVh6gq01xmn27Nk45ZRT8PHHH4MxhoceegjvvPMObr/9dvz5z3/ulT5VPXBqamrChx9+iF133dXYvnLlSjQ2NtasY2GeeOIJ4/v8+fMxZMgQLFu2DAceeKDanslkMGzYsG7rh8VisVgslp7hyCOPxL333ovLLrsMhBD8/Oc/x957743HHnsMEydO7JU+VT1wOvHEEzF9+nT8+te/xvjx40EIwdKlS3H++efjpJNO6o4+RrJx40YAwIABA4ztixcvxpAhQ9C/f39MmDABc+bMwZAhQ2Lr6ejoQEdH4I6SIp4ZwpAlwk2S40SZ0dt4BjnmKj0mAEqSP8fFKjtp9gWHn+pB2Efz3FGmfLnyRyJcfIErwCFMW/VVRBqBqZxxgga//WxqE3LcCbkDg9Vewp0Q2GddwtFIZL+5YX4v0WEigAuZIoaUJBr2/O8FmRRT32eYuUlgI/abc7R2XULR379GjaQI5rswPLSgwIG1fhLVDV4dNjBft4mnMMDZrK5RgTtoY2m1iqnFy6rUJxlaQKNmgg+nSAm70ygY6n1tlkbartLuiGOLyo0SRq5SMlNXdN6MH6yyi4chftWXqqcPLkGOXB2VkGA27MYTq9L0pL+esVIqasWdvnIu7LaTSYJVguCIq07BjfvpEKHhpVIjae60TSyLRppX2ygpYAf3M6WLts5rQIf/TmGgyDFXvWMa3DyyxNcOilxdFu9v0V3U+jaF9qeD0LNKEHneUccahH8PkeVi6u1GF16lvz0XHvr7K4TT8JA1XPpQ7z1KfO0uVW/RD1mwq+q6m8mTJ2Py5Mm93Q1F1QOnX//61yCE4NRTT0WxKF4YruviBz/4AS6//PKadzAKzjnOOeccHHDAARg9erTafsQRR+A//uM/MGrUKKxYsQIXX3wxDjnkECxbtgyZTCayrrlz5+LSSy/tkX5bLBaLxdIZttZVdZKXXnpJreTfbbfdMHbs2F7rC+G8c+FibW1teO+998A5x84774z6+vpa9y2WGTNm4C9/+QuWLl2K7bbbLrbcqlWrMGrUKCxYsADHHXdcZJkoi9PIkSPx8ptD0a+RgnGglaewwQ9QbmF18DgxZsDy7wJPCWVpP5A4x9NwSVEpzXo8UJ1VCuIy0JC5aKAdSs06SwpKmykbsnIUOFXf6wlDByfI+RYnmdxXn21llaWFI0s43LBeix8snoGDDkgLDkeecxSUlStK50U8OhnCkSUi6BsAmB8sntN0nfSg8yRcENUfGXDe6j+hHxSalTUvTTzkuYM239q3utgfOeYqC0WepwwrXCPNKQ2qetqBAneMe6EsAxA6Pg3+PaR+ouacX7Y/bVcB6YB5TapR306ikpdbZ61IccmGa001QfGS8DmF+8oSrrVeVrata/l4oIYCuH68Xi44Nr7/jqa/5JDACuVqCWDTpIgBThv6U6n5I87v42ITAOD9/BBs9OrVeTNO0ewnzd4pswbDHGH51i3Hsf0JmXjCemxRf4cJP3NRZeOe74qOjbmecc9JdXV0fjDgEg+NtAMN/ntFWJBKF8sA4t1V0C61tMJvbmHYZ49PsXHjRjQ1NXW6L3Fs2rQJzc3N+MrdP4FTH20AqBSvrQPvnHx5t/W1O/joo49w0kkn4dlnn0X//v0BCEmk8ePH45577sHIkSN7vE+dfovW19djzJgx2HPPPXt00DRz5kw8+uijWLRoUeKgCQCGDx+OUaNG4d13340tk8lk0NTUZHwsFovFYulLdDlPXQ1W5fUG06ZNQ6FQwFtvvYV169Zh3bp1eOutt8A57xXxS6ATrrrW1lZcfvnl+O///m+sWbMGjJn+3ffff79mndPhnGPmzJl4+OGHsXjxYuy4445lj1m7di1WrlyJ4cOHd0ufLBaLxWLpCcTAp6sxTjXqTA/y97//Hc8995whPfSVr3wF119/Pb7+9a/3Sp+qHjidfvrpWLJkCU455RQMHz7cSPTbncyYMQN33303HnnkETQ2NmL16tUAgObmZtTV1WHz5s245JJLcPzxx2P48OH44IMP8NOf/hSDBg3Cscce26W2HXCVBiFL8oAWRGlozoBGpq6QwYR5uEqnSR3jP8hZWkCWBu65tJYSJBzgrQdUOgSoJxytnrgPaQTHSKTp2QVHllBQpcVE1N+iLoJ6/5HIwYMHT5mmE838oe8uKDyEA7D9f2Wgpdb/pHrznENGfqaJp0z7A5w2bGBplZbFJR5cx1PBt2bCVGZc2ywpCM0t362ZJQXjvunXXib2zHJZtpgYbJtEpe618DWJC1SOI8nVVy6QPIlq3INxgbnJrsIyqTuMYxMSu4Z0nMQ2M5FvXOC4nmQ7jJ6WB9BSrmhu3rTvxnV9/TeZYFv+fgf6qXty7nrV5ueFRl/vLaXqN7TVwr9/lLrngrJmGcPVFFoMIq6FqRPFQv3Vy0Wlc9KPVUR1LTYIPHpz+FnwYKbbAfTFE9WPBoJ0Vnn0p3m1CIYB6p65Ee7RrPb/uzznYARIVaGxZame7bffPlLoslgsYtttt+2FHnVi4PT444/jL3/5S4+P9G644QYAwEEHHWRsnz9/PqZOnQrHcfD666/j9ttvx4YNGzB8+HAcfPDBuPfee7tVJsFisVgslu5ma11VN2/ePMycORO/+93vMHbsWBBC8NJLL+GHP/whfv3rX/dKn6oeOG2zzTYlEgA9QbkY9rq6Ojz55JM1a08sPeYq8FAqd2dRBNPkCaiWYFcd689A0szDWq/BCEKWgeN5f1vamCEyI+Gnviw2HLAoZ0UikTBRweJRKrZyNtVA5azan2WCwCWOsjoxcDD/+A7OkONEtZOESIIczIoZOAqGBEKofOhWCsuX/zchKimxlDSQ9fan7SpIn/HShMniHE2lc0AEg2dJIUjo6S8hlzPWsIWpRMIBMO6FQRXvoU5biSIsWUnWn3IB+GY9lYc5Vjqzr8TiFdV/mcQ1kBgItadbWhG2XpWqiFcqXQCUJkMOP7N6feGFBMoCBa7qc+HBAUdB9tFPCC1/p/1pGzZQERu6mWb9pNrCqrnWa1SLRBr85NqmBSr4TQNQCzjCCCtR+HcovndwUrJfv3Y6jJeWi7JAie20xAIVdbyqI9aKpMlFIMYC1kkZAPn7B4D+tAONBFD2DH0RDDffuw7EO0m+Px0itkU9K90BR6K4e8V1bGlMnToVbW1tGDdunJGtJJVKYdq0aZg2bZoqu27durhqakrVA6df/vKX+PnPf47bbrutR4PCLRaLxWLZWtlaLU7XXHNNb3ehhKoHTr/5zW/w3nvvYejQodhhhx3guq6x3yb6tVgsFovFUgumTJnS210ooeqB0zHHHNMN3eh7uER8PAAuGLIq6BrIcYq85+slaYlmKTFdS2nqgYIpt54sL9GThspkoUEAs4esVjYbCsLPa2ZyBqC/r3S9zkuBEq5cdpQErhuPc6WRpNPBi349XKmAt3IkuunCpvMCBzw/MWqaEBS04zPgqg8OCEC4CjpnHADhyl3oca5cdNKlJ50oQs27XbWpu5lEYtTA/VbgjlJ0B0TyTh1KuJEgWL93ScrMSdehKwrdDil1RSQRdpt1VtiuVgHtRp3aIXGuQL3/eiJbBxw5LhNfBy4eaqiB+cS47ii8EvXxkgS9Yddcmesg6xFtlbrmxHZNRRwcLvFK3FbyfBpoXi0UGZDajBavDi2eSGq9omOwctvtml4FSgrKZSQDvuX7IFfFMindseUSXnJnCpxEJhWuxPUWJP8uDSCPOl6eS7iOEvdb6PRi3bgVIt2r0mUqg+mltp0eckCJ+QwGC2X8e0HEcWFdvG5ja/XV+axZsyZyJf+ee+7Z432peuA0e/bsisrdc889OOqoo4wEvBaLxWKxWDpBDVx12AJddcuWLcOUKVOUdpMOIQSe1/mVwp2l6oFTpXzve9/DuHHjsNNOO3VXE92KA+J/OJzQ7IyBoYFKdfBUrKpvPfXgknZ4ENYOsTxZzCRzcJHXlK1FgHIR9f4sNEuYCjp0QOASAleqjHMPaamuDWGhkbMelzC0cldZjhpJUVluZDCjsuiAo8B1RXKGNi5nV+WDhmnMb9CDueyZAdoScRFcKfsgW9eDyfXgcX1u4YCrHHJS1iAIzO9Amnjw/OtS4A5c7gd8E2bco0DpOQgWD89gw+em5+nT9+nbOzsLrgnd9T7s5CnFWSCC/cHzFbZuuPAtuNoz6BBW0hcKU3laDzx3tHIepyoPnlFfBeiWMX1xQbCfGdsDy6UpKSD2BfU5KGIHdy0AoM1pwVqvAeu8fgCAFq8O64ri71Y3jUbkNcubsDbJ30sHJ7G/w3K4miXY40BOsw7pi0w8EDOnZQ9YoNTxuoWeBzISncXxg/TD/ZKW+CyCeyRtnLJkWELF8bMcRFnxLbXjtNNOw5e//GXccsstGDp0aI9JICXRbQOnTmZysVgsFovFEqIWyt9b4v+WV6xYgYceegg777xzb3dF0TOJqywWi8VisXQauaquq58tjUMPPRT/+7//29vdMOg2i9OWDvU/YY0OYZ7loH5AtcdoiUleBnJmCYFHmAoqzGk6LpRz5L06I2FolhSDoG4EeksZQpEljhHQKl1xsmlpTm6kDK0elEuwwD3lxkkDyHHd9G0eW9CSF8cR5Y5yQm43obHEUfDrcsEDwzgX11QFEPNSXackY7xqnxA0oKCG/i6naKR55WKUit8A0MrSYJzEajWFNXLC2wpaEmWXMMN901k3SRSddftF6vF0kbCidDXE6fbo9Sa58NwIlxggXHElweoRzcS58DqD7hoKu/fCCXhNXbFSPTD9GJcAA4nQHGsiefSn7Uq7qeA6+MxPBvxZsQkDaZs6vsAp2ghTrsg8KNLcDHTW0a+X/psQcPXMlXuG4lxx+vlLuuq687tWSid1m0S7pjvY/O0HGRTqienW1VsMdOVkWIQ4jvZUcPhWys0334wpU6Zg+fLlGD16dMlK/qOOOqrH+2QHThaLxWKx9HU46Xpwd5XHz507Fw899BDefvtt1NXVYfz48bjiiiuMvHFxMUfz5s3D+eefDwDo6OjAeeedh3vuuQft7e049NBD8fvf/x7bbbdd2T4899xzWLp0KR5//PGSfV+44PAtHRX0x8WsQ8428pyjAKJmallSLFkqrC/H1gOh6wlTKr9tLFr5Vp81Zoi02FCk4MDRcm/lmJitysBwGaBIuehTi7YUX9LC5IxeXwpe2ZLzqOBpM0g2QJ6VrFefzab961qIcbZXOqeUQfsORJD+JqQN+QYHHFk5u3cYNnhZ1Z+wGnN4ph4+L0qglKaz2r6uWnnC170z1itp3asFYetEZ4+NC/6Nqjd8DQyLBImwfoa6pVuTzP7XxjoBIHJhQVRZs5xpzQz/XoDAmu0Sjgwvop5uBCAsnAOpn9OOu0a9G1gdNrB6DHY2ARC/dSW9wFEiRaITl6cOSH6O5Pak56NaC5Q8puL8d0DVCxWi6pBB+3KfkJ0RFn1AyKGov0MWJmnll4t0Cl0MVK+W3ohxWrJkCWbMmIF9990XxWIRF110ESZNmoQ333xTrZhftWqVcczjjz+O6dOn4/jjj1fbZs2ahcceewwLFizAwIEDce655+Jb3/oWli1bBsdxkMTZZ5+NU045BRdffDGGDh1a3Ql0E902cBo1alSJSc1isVgsFsuWwRNPPGF8nz9/PoYMGYJly5bhwAMPBAAMGzbMKPPII4/g4IMPVivqN27ciFtuuQV33HEHDjvsMADAnXfeiZEjR+Lpp5/G5MmTE/uwdu1a/OhHP+ozgyagE8HhK1euxEcffaS+/+Mf/8CsWbNw0003GeWWL1+OkSNHdr2HFovFYrFs7fAafQBs2rTJ+HR0lOb4jGLjRmEVjctX++mnn+Ivf/kLpk+frrYtW7YMhUIBkyZNUttGjBiB0aNH47nnnivb5nHHHYdFixZV1L+eomqL08knn4wzzjgDp5xyClavXo2JEydijz32wJ133onVq1fj5z//eXf0s9cQ7joRQAjIJI8cULofTCXcDCdXlQkhddVvxoOA0gbklYnbJQxZ4qm6soRoweEpuCS4VRRM6bis81IY6njI+OGiHcRD2k+WCohgUk+zcUfqFWn22yRzvG76T3LlSO2TQHGXaIlRo+mq0Vua4KW7jnEt0JsLhedWlgEAZJ0i4myhul6Ovk0m+Y1yuXS+z8n1VOJC7ax7rzP90Sl1sVXuuhF9iFaP1o+Ncrcp3aGIJ6nSJMRJJLnigNJziQv+FmWT2zL01bTnygVH1pFK9zmR1Nu/Jo00h1aeVtkIHHDkIFXEXWRJAf39RNfVXA/Z17hnI3xuXbn/icrhSW+CKNet0Yf4Y8MuVfmecH29Po/LdzhR72gWvvfa/wPUuYCXlOsuapmrLmzUmD17Ni655JIyx3Kcc845OOCAAzB69OjIMrfddhsaGxtx3HHHqW2rV69GOp3GNttsY5QdOnQoVq9eXbbPX/7yl3HhhRdi6dKlGDNmTIkn6+yzzy5bR62peuC0fPly/Nu//RsA4L777sPo0aPx7LPP4qmnnsL3v//9L9zAyWKxWCyWPkGNxmgrV65EU1OT+p7JZMoec9ZZZ+G1117D0qVLY8v813/9F7797W8jm82WrY9zXpGY5c0334x+/fphyZIlWLJkibGPELJlDJwKhYK6yE8//bRaCrjrrruWBIltyejLTCkhalbhgYsgzAgrkwwEl5YiESgeFHBBkfNlDBpIAa1wVT0yyFyvjyprlHmbOngRG5iwMK3x+qGRbsAQRzyo9WDweBtyvMM/lqlgcGmFqWbmqPqS8HyH54EOgfEDz3EnWN4ODw3doPzqEhaa5Zr7s6SoOirylhUjpQeiEGrN0bPZrgihlbOy1Tr4XFKNlaoa61SlweUeSLLMQQWnLXPsVZpLr9JrGR1QnBw0bR6fXCbqefF4qbU6XE5aovvTArJkvVF/TkmPmO8J3epaKUnlK5HLCKyFXbdAhY8vF/Af/+4yt6cNVXdTTsDTrO8UxLAoyXI9ZWHqTpqamoyBUzlmzpyJRx99FM8880zsSri///3veOedd3Dvvfca24cNG4Z8Po/169cbVqc1a9Zg/PjxZdtesWJFxf3sKap+7++xxx648cYb8fe//x0LFy7E4YcfDgD45JNPMHDgwJp30GKxWCyWrZ3eEMDknOOss87CQw89hL/97W/YcccdY8vecsstGDt2LL761a8a28eOHQvXdbFw4UK1bdWqVVi+fHlFAydJPp/HO++8g2KxWNU5dAdVD5yuuOIK/OEPf8BBBx2Ek046SV2kRx99VLnwLBaLxWKx1JAaBodXyowZM3DnnXfi7rvvRmNjI1avXo3Vq1ejvb3dKLdp0ybcf//9OP3000vqaG5uxvTp03Huuefiv//7v/HKK6/gO9/5DsaMGaNW2SXR1taG6dOno76+HnvssQc+/PBDACK26fLLL6/uhGpE1a66gw46CJ9//jk2bdpkmN3OOOMM1NfX17RzfZUCSBAQruk0CbVxYuiAZImjzL8MHA3UH6sypjSIACDju+mkm8/R3IMFXoRDKDq4SAD8KStiZVGsatjgNaC/047h/j4KApdQDHB8ZXP9h0JMl0CBC/M2q9ClU87tYLgtSeBeaOUUjjSBE9McHq6r2iBxPQBc76NQQZeuTg7AU2rqifVVsb2rAe3d6eYDOufq64y2lHThVNJeJSrnciFBRcHxnXSblO1D0uKHCq5J3PH6fdPvf1g9P7ZtCD04vT6X+EmRSVtFybnVsaE2KYl3zVISf95JLrw4152+L85tm6T/Vdq/ylysMtmyagOm6y3HE8QU/ePCSuFfZOXwG264AYD4/77O/PnzMXXqVPV9wYIF4JzjpJNOiqzn6quvRiqVwgknnKAEMG+99dayGk4AcOGFF+J///d/sXjxYuXhAoDDDjsMs2fPxk9+8pPqT6yLdErHiXOOZcuW4b333sPJJ5+MxsZGpNPprWbgZLFYLBZLz0KALg/SqnfVVcIZZ5yBM844I3Z/NpvF9ddfj+uvv76q9gHgT3/6E+69917st99+RjD57rvvjvfee6/q+mpB1QOnf/3rXzj88MPx4YcfoqOjAxMnTkRjYyPmzZuHXC6HG2+8sTv6abFYLBbL1ksnXG2RdWxhfPbZZxgyZEjJ9tbW1opW5XUHVQ+cfvjDH2KfffbB//7v/xrB4Mcee2ykf3NLJWo1BSDcWzlOlY4SwJSLSpjNtdV4ESZduS1NxNIzeawDYpju9WMZODpYHpv9FXkbWBobPCF33+JlscGrw+bUJnVcgTO4yuUX6I543HQtAnKFU/x1iF2pEi4XUUegSVU0Uq4kITWgKkVPMCxT3gC+e053IRGgnhaCdrTVhUnODaUbVOELR78OUaul4qi0fkl3ufkqdbcZfekGd16lZTtDJfV2NXlzJatVa52wQ678TLp+RkJyArT67msHHPWEoc13j+VhJi/Xtd7C18ZwfYWajErXEtWXqDLVJpiuZPVjaRoajjbNPZczVtWZv195bsGKapvgtyfYd9998Ze//AUzZ84EEOTG++Mf/4j999+/V/pU9cBp6dKlePbZZ5FOm7nQRo0ahY8//rhmHbNYLBaLxeKzlVmcDjnkEDz00EOYO3cuDj/8cLz55psoFou49tpr8cYbb+D5558v0XXqKaoeODHGIrMRf/TRR2hsbKxJp/oCBc5R4FzpMrlEBhoD4FDaKVnCEA5vi7JUASIpJNOsHHowuNAKCmqSGiKiLx428gI+84RiagvLKE2TAneQ4y5We77GCBd91QNI2/yAUQ8EDZGay6VEatTElY2YdDkggD9jTHOmZnphi1KURaczgeKUIGSxEwH3wXduJITV2ynpe9T5aP3U+8W0esLHVWptqrZsEpVYriq1VsVd/84ojFdqwall0uJK6KplqVIq1ZuqBW1MvCcYKSILL/IcXSJUs3ULS44TrPFEnGqWFoX2GYAG4iFLzLLlNMLiLE9Jx3b1vleqQWf0haPEAs9C76LAahaymnMO2pOuIk7Ep6t1bCEsXrwY+Xwe48ePx7PPPotf//rX+NKXvoSnnnoKe++9N55//nmMGTOmV/pW9cBp4sSJuOaaa1RuOkIINm/ejNmzZ+Mb3/hGzTtosVgsFotl62XMmDG47bbbersbiqoHTldffTUOPvhg7L777sjlcjj55JPx7rvvYtCgQbjnnnu6o48Wi8VisWzVcG6EmnW6ji2JlpaWsulbqlFArxVVD5xGjBiBV199Fffccw9efvllMMYwffp0fPvb30ZdXV139LFX8CDcdB6HFgguXFANxAN8t49LAveIJ4OTfTcZBTG0SBg4clzsy3GxT7qT0sRM18L89mW9BQ5sYOL6rvX6qYS1oi4XLUzEnMm0C41UJAlt0AKzVeoV7TzLJeuNI8m1pLSo/H/rKVfXiIWC05OoLgBaBmwGW8Juq0oC2svhEKERBYh/XcINLSEn5Iao9FxrRWddflEuvs4GoFf6fJX0ocxChS2BpCS53UGUG0q62Dz4Wmba/y0DzTYOEK7CDNayLFpZBmn/vdZACuhPzZADV3NXJ6gdlfQryW0XRyXB5JW2H3VsbLJxHrSd4w6y8LQV/OL9Huj2EX9RTw89tFtZjBMgEvzGIXPdRYUOdTed0nGqq6vDtGnTMG3atFr3x2KxWCwWS5itLMYJAB544AEMGDCgt7tRQqcGTnfccQf+8Ic/4P3338fzzz+PUaNG4eqrr8ZOO+2Eo48+utZ97BVcELgg/pJdoMWfRotl7AE5TpDzg68ZJ2ghHGl/zl1PA1kAQFiu2liw3BcAwOX8nIOCgUUEG1JfqiDHRdBngaeQ9ZfWt7As2lgGnt+H/lRI4Wf9mWNGSxwcDmwWdVdGV4OXVR98K57sR1eW1ev1OvBnwp2QDRDHE9W/SvE0BfnYdnpxuXI151Lt/U26zuXuaS2CzqPoiQDsnrYoVYujLYKIuh7yvbPBc0EJV0rjKwsDMcDZjAFOGwCx6EXO4/P+71XWJ1X5w5bsOJKsT0nnUQ3VSKokPZ8u4cirxTQUOQ448HOj+RIy6hwIh6vJ1lhqz9e//vVIDafepur/b91www0455xzcMQRR2D9+vXKTLbNNtvgmmuuqXX/LBaLxWLZ6iG8Nh9L16l64HT99dfjj3/8Iy666CKkUoHBap999sHrr79e085ZLBaLxWJBryT57U1GjRpVUS673qBqV92KFSuw1157lWzPZDJobW2tSaf6AgzSPM3hAigQqZMkAiyljtMmloEjFXs5RZp4yMkkpaxQkpDTaIMTbIII6m7wVZ6k60d38YEADZTiS6l1AIANtBVrmVAOb2Np1NMONFCRMLiZFs1ku7oiORFm5op0nLrg9ejpgGiJQ6BcoSJoO76c8T2st6V13424Dso9R5jvGomup7eppj/V3rOk56OcuzTp+eusmnZX3HSddb/1pDZTbNLghL4nubs2sDrkeQot/oKTFi+Lke5aQ31c3sc25iCvBSgUOBXhAkSEC9TTglgwg1INtmpU5qPOpTOLBTq74EXul+figCPHnUCzD57vrvPhHG3w0MZrrQFvAcRYo69StcVpxx13xKuvvlqy/fHHH8fuu+9eiz5ZLBaLxWLRkcHhXf1YukzVFqfzzz8fM2bMQC6XA+cc//jHP3DPPfdg7ty5uPnmm7ujj71CnnPktWW80spQUKqxQVkpAQCIPHb1JO9vp2jz/1X1EClHII6RcgU5OChwqvIzpcHQKA/jHA4hGOqbLZtpB6g/HSzwFPrTNjRSEcCYJSSkZk1Q8M/Di7E21Uq1ulKcUIB9Z/A40MEJPP/61avrKmrOgxuz4HJWJkkbI9jAMmj0LXguYSVlAwsTT6xLp9oZStwcNqqeWsx3486hu62Hlfa9EutOpZajai1FPWlZ6m7U+4ansbbYDwX/9zLCXY/+tMO4hjKQPO+/m3TyPPgFu9xDTv0WOFzCO3XNqrEulQse78qiE3ls1rcoy3ORQfC6Va2aBSldZiuUI+irVD1wOu2001AsFnHBBRegra0NJ598Mrbddltce+21+M///M/u6KPFYrFYLBZLn6CqgXmxWMRtt92GI488Ev/617+wZs0arF69GitXrsT06dO7q48Wi8VisWzdbGXB4QBQKBRw8MEH45///Gdvd8WgKotTKpXCD37wA7z11lsAgEGDBnVLp/oiytXju73qqdRKySu3W6Cz5Os6gcCDZ5iVpSvJAVNmcgBoZWkwbRxLwZDjHaothzPUE6mbQjGQin0FZxOypKhciQ6hYHoyTs3lqLvwtkQMdxLhAIdSTAfNI0uYcoUCCcl3I9wIrf4lW8uy8Dgtq00TV0+trm819cSqIHexD1VpWpUpWklfyrl3yrniyh1fmbuvmoD67nPhhV1RrFOur8B9Boj+yndVK8uAgWBwahMAYNvUBlUm3Ic0PP9dJvZlSRFZpxjpLvP0xSgI1PU7S2e0vWr5GxSZHaL70OPv0q3QVee6LpYvXw7Sk8mUK6Dqez9u3Di88sor3dEXi8VisVgsFsWpp56KW265pbe7YVB1jNOZZ56Jc889Fx999BHGjh2LhoYGY/+ee+5Zs871JcIzan0m5GmBkw64+u76AdtRx4m8XLxkhitnhB6omqZ7yPuWFGHlqgdTy+RHOFIpPKhHHw3nOK9J8HA5arn0vdK6MoSrIO7AkucHcFZgZZL9yHGCDb7lKsdduCEr4ZYKRfVWp0qtTF21MCVZa5IsS0nHJdfZuePMcsnzzGqsVeUo+P/SGGuNAykbQCO3A4DHhbq3tFZ5INjERMLUFi+L/k4bhqU2AhCZBnQ1cFFXILvhwQP12xL58DxNSZyqvx1dWdtv0+G85rICSXTn+65XLfZbYcoVAMjn87j55puxcOFC7LPPPiVjjquuuqrH+1T1wOnEE08EAJx99tlqGyGkVxPuWSwWi8XyRaYWyt9bonL48uXLsffeewNASaxTkguv2hx3hBC8/PLLGDVqVNmynRLAtFgsFovF0oNshTFOALBo0aJOHbdhwwZcc801aG5uLluWc44zzzyzYsNP1QOnSkZjvc3vf/97XHnllVi1ahX22GMPXHPNNfh//+//VVWHVA4HKklaGpiwKZhSEnfASszNZvAlAwhVfxe4o0zvHqcoEOF+amFZUDCs8/e5pIgsEW7AwU4BWULhyuPAUQBHjvfdX0jYbRZ2DyW5i/RjHSLclmJ7qXZMkqK3B46cb7ZuY4FOjQOOtOaGcJVrtbRP0YmByRYVgN+XXXNRx9TKHZfkdivnckt0F/LK7z5L6AOVVzTi2jiEGe43nQKoGUaghQNsYll8UtwGADAgtRlfcj9Tiym8UH3h95ZLGFztt2b0VUts7oEECcxlH0DUseHtSfQ1/Szh9izF6ob3Xf7zP/+z4iTBM2fOrLjeqgdOjz76aOR2Qgiy2Sx23nln7LjjjtVWWzPuvfdezJo1C7///e/x9a9/HX/4wx9wxBFH4M0338T222/fa/2yWCwWi8VSnuOOOw633normpqacNxxxyWWfeihhyK3M1bdkLalpaXislUPnI455hgV06SjxzkdcMAB+NOf/oRtttmm2uq7zFVXXYXp06fj9NNPBwBcc801ePLJJ3HDDTdg7ty5Pd4fi8VisVi6CkENYpxq0pPup7m5WcUvVeJqi+Pjjz/Gtttum1jmrrvuwre//e2q6q164LRw4UJcdNFFmDNnDv7t3/4NAPCPf/wDP/vZz3DxxRejubkZ3/ve93Deeef1+BLCfD6PZcuW4Sc/+YmxfdKkSXjuuecij+no6EBHR4f6vmnTppIySeNWkWJAuM08TuGEtYQiVs5JdHeBx6lwz2npW5TOE/EAULRysfJrbWEAmpwcAKCBrIFLuVp908FZ1W466YapZWLf7krhUdKO34wLDo8HboJsxF0Lp0ow6vHrzdIcssQLEvn6bUa5quJcgbJlPWVPmvS8C68WLoRapJOo1k0XV75aN118PaV3orOr7uJcc0luuHJ1iv3xSYkYp3D91aR55pS05UmXGmHwOFF9/KS4DXJMaM3tkl5trIwD4lexOeAiDCHcZR7oRMl9FBxZMBR44PrT3ejhVXu9kZy5GvRzjutrZzS2LMnMnz8/8u9qmThxIp599tlYI87dd9+N0047reqBU9Xv8h/+8Ie46qqrcOihh6KxsRGNjY049NBD8etf/xrnn38+vv71r+Oaa67BwoULq626y3z++efwPA9Dhw41tg8dOhSrV6+OPGbu3Llobm5Wn5EjR/ZEVy0Wi8ViqRyb5Fexfv16XH/99fja176WWG7IkCE4/PDD0draWrJvwYIFmDp1Kq644oqq26964PTee++hqampZHtTUxPef/99AMAuu+yCzz//vOrO1IrwEkXpQoziwgsvxMaNG9Vn5cqVAKTqN0mc/UotJp0oHRRKeKweC+NEzXYZCHLMRY658DgBBQcFhwsvCBaFmM3muSM+/p4OzpS1qbOzuFomq/TAIz/dBYVIwlngFAVOwXj5BJwFTlDg4h420jwaaR5Z4onknkRYlDwObGAO1jEX65iLAojaF4dMEN3CHWxkKWxkKXh+YGncpzuo5MftgBifkv2k9BPXlvyUtsHVp+Q4EnzKlde3RwUo65+k8mLRRvCJOj6pHr0+h7DID0XpJ+lcqtEs8kCC51y3WvvvJNligadQ4Cn1vcXLop52oJ52oIEUlDXIOB/tu7wvLhGJe8P91e+d3JYlXDwH2rFhq418TsLtV3INGA8+PYHeXk+1GUtn0qtEfbZgnn76aZx00kkYMWIE5s2bhwkTJiSW//Of/wzP83D00UejUCio7ffddx9OPfVUXHbZZfjRj35UdT+qdtWNHTsW559/Pm6//XYMHjwYAPDZZ5/hggsuwL777gsAePfdd7HddttV3ZmuMmjQIDiOU2JdWrNmTYkVSpLJZJDJZHqiexaLxWKxWKrgww8/xPz58zF//nxs3rwZ69evx3333Yfjjz++7LH9+vXD448/jgMPPBD/+Z//iQceeAAPPPAAvvOd7+CXv/wlzjvvvE71qWqL0y233IIVK1Zgu+22w84774xddtkF2223HT744APcfPPNAIDNmzfj4osv7lSHukI6ncbYsWNL3IQLFy7E+PHje7w/FovFYrHUhK3M4nTfffdh0qRJ2G233bB8+XJce+21+OSTT0ApxW677VZxPYMHD8ZTTz2Fl156CYcddhi+853vYPbs2fjxj3/c6b5VbXH6yle+grfeegtPPvkk/vnPf4Jzjl133RUTJ04EpWIcdswxx3S6Q13lnHPOwSmnnIJ99tkH+++/P2666SZ8+OGH+P73v9/pOkv0gULuOD0YPM8dpP3UKGHPhzClB2NVPSDVIcx4qMMBrAxUBXlmSQFpItoocIoc97Tjkt105RL9lgRNb0Eucf1e5EHh+vchxzmyhBi6XGlCIJ1kuhMlnKSUQUskDKA/CoBRPv5N1EA8tPpBvjnfLdjqJ4IW+wsqAaoL7vcp6KNOnDuv3MynvAaZSSVB/XHPhHx2kttMeHNHuNOpVj7sKjH0iko0vEr3mXXpQdGm6J0RMG24mcwzk/VFBZY7ocBr0Q5L1HkKFi+UDyzXF5GE28nL9EPEvLsu8TAwtVm0lRBiIPab28Lpe0QPudFvVRcBCjG3mXGg4N9nxgGQ6DQvUe+xWrjKyr0fy7kLw33oTCqZzrK1KYeffPLJuOCCC/Dggw+isbGxU3W89tpr6u8rr7wSp556Ko499lgceeSRxr5qU8VVPXACRAzR4YcfjoMOOgiZTKZPZS4+8cQTsXbtWvziF7/AqlWrMHr0aPz1r3/dIoQ7LRaLxWKxANOmTcPvf/97LFmyBKeccgpOPPHEqiWOvva1rxlSSZxz3Hfffbj//vuVpFJnUsVVPXBijGHOnDm48cYb8emnn+Kf//wndtppJ1x88cXYYYcdMH369GqrrDlnnnkmzjzzzG6r30iGSYAG3wqRg4NCxDLiuKXOYakCl3jI0oL/d5Ag2CEMTAsEpdpMUqiNa2UrCbCU7ZctmRxc3V3WqM4GqVMAWf/aFDhBTlnoGDxww5oSWJ1Cbasg2UAVvD/tUMriUWWT+isVlVtYChtYHVpYndpXTzrQRHN+H4vI+lbEDOGRfYvqXzX3Moqk43QLQ7nEyx544vPQVWuUWIiRdGiVD01MXYyThN9QlPo1jVz4EVsPiV8KIK1R4UBy0bKZSDxoP6SIzmmwPJ5TZZkGgCwtoIHkjToMq1LC9dUt1UnPXIFLi1i8lT5stZFlXT+wXJxXqP0uWEqqWSyTVDbqfvZo0HgtXG1bkMXppptuwrXXXov77rsP//Vf/4VZs2Zh8uTJ4JxXLG7ZXSniqn7f/upXv8Ktt96KefPmIZ0OXBhjxoxRMU4Wi8VisVhqyFYW4wQAdXV1mDJlCpYsWYLXX38du+++O4YOHYqvf/3rOPnkk2NVwwHhphs5ciRGjRpV9gMAb7zxBorFYmx9OlUPnG6//XbcdNNN+Pa3vw3HCawre+65J95+++1qq7NYLBaLxVIGGePU1U81zJ07F/vuuy8aGxsxZMgQHHPMMXjnnXdKyr311ls46qij0NzcjMbGRuy333748MMP1f6Ojg7MnDkTgwYNQkNDA4466ih89NFHVfVll112wdy5c7Fy5UrceeedaGtrw0knnRRbfq+99sLatWsrrn///fc3+pxE1a66jz/+GDvvvHPJdsaYoZOwpRM2wcaZsR1wZfaXir0yiDQPB+BAk28e38QDC5100dX7rrkWloYLD/1pm2hPSxbsceoHLcskm8HfLvHAeOeCFKOMndWMpGup+1QrlOI3geEuiHI1hV0PUeVkImHm34tInSJ5/8OBo4AK/m5AEQ5tU66SVp6Gxyk2sSwAYK3m4u1P2zCQ5tSxepsF6SZWGkOmyy7q/DpL3PFRbSW58rrixpNtRblJdLdK+PnXf7tRibbjkm+H3W5mEHlUPSy0TbrTK3ffKVVtzY1XLllwZAJk3U0HoAAHDhiyRLxjKJjKPjAAbcqNHPQvVCExz10vHV5QoVPg8fp3kdpcflFXCypn3HTddfgaVZXqXVWrZRdVPilBe1fa2pJYsmQJZsyYgX333RfFYhEXXXQRJk2ahDfffBMNDQ0AhLbjAQccgOnTp+PSSy9Fc3Mz3nrrLWSzWVXPrFmz8Nhjj2HBggUYOHAgzj33XHzrW9/CsmXLDANMJVBKceSRR+LII4/EmjVrYstxznHxxRejvr6+onrz+XzFfah64LTHHnvg73//e0mw9f3334+99tqr2uosFovFYrGUoxbK31Ue/8QTTxjf58+fjyFDhmDZsmU48MADAQAXXXQRvvGNb2DevHmq3E477aT+3rhxI2655RbccccdOOywwwAAd955J0aOHImnn34akydP7uzZYMiQIbH7DjzwwEjrWBz7778/6urqyhdEJwZOs2fPximnnIKPP/4YjDE89NBDeOedd3D77bfjz3/+c7XV9VnyoMiDBstj/clHEBROzO8IApNzLOUfIwK6HSotRUzNSF3iiVkcD+pxiAfqB4XnWEotOab+Mua0FjDeQDv8NuOXUseRNGvrLhXrnkCfo4vrGVhs8qHgYYeUD3gW9RCAcGUP0o+pJDhc9ilDODKkiGY/kJ8hhxynyPlLx9d6DdjAxMwox1ysJf0wxBHZuvvTDsOiop9nOFhcpzusUHF1JOdzDAUwh60OYdkO3dIbUydD/HMcFUjeGxaoEvmChLyVRj2atak0D11pMHhQVi5ooGpfK8+oi8hA8X6H+B9NI8lhiNMWmUNO1SctgaS8PEBcPcy3Pjn+e4qS0nr1d6ynzoH46uKCfOg6VGoNqmR/3D2Jy0EXfiZ6zOJUw+DwcE7WSoWgN27cCAAYMGAAAOFp+stf/oILLrgAkydPxiuvvIIdd9wRF154oZIlWrZsGQqFAiZNmqTqGTFiBEaPHo3nnnuuSwOnJBYvXtwt9QKdeI8eeeSRuPfee/HXv/4VhBD8/Oc/x1tvvYXHHnsMEydO7I4+WiwWi8ViqREjR440crTOnTu37DGcc5xzzjk44IADMHr0aAAiK8fmzZtx+eWX4/DDD8dTTz2FY489FscddxyWLFkCAFi9ejXS6XSJlEBSDtm+Tqd0nCZPntxto0SLxWKxWCwmtRTAXLlypZFzthJr01lnnYXXXnsNS5cuVdukLMDRRx+tcr597Wtfw3PPPYcbb7wxMZdcUg7Zvk6nBk5bAzL5LotI5Asg0I0JBVCmwTR3ntBf+szrBwCoJ3k0+S62Vu7CJUGS0SwpIg9HuflEYKeoJ8ddtHHzwW7063E78UvqDtNytabzauqqlLC7KKwALoPFhbuAoxChfBzWTxL7EgKfq+iq4ZLyg18d33XnOJsx0BEZvAvcwSaWNRWstb5GBVobyt5Jbgnt71q47eLqqqXrDogOvI9rJ0p9ulLXXZTLyaxH1yOq7hnXyye73GjZclFuJN1Fp9ez1n//uMTD50WhwLyO9cNAp91wjUUpeMefi9m38N/yXGW2BLlwxgVX7ywZRK50obQFHQVO4YEr/bQCd+ASL1EHK6ovpf2Oum5VBpKH6ohTSa85NXTVNTU1GQOncsycOROPPvoonnnmGSMP7aBBg5BKpbD77rsb5XfbbTc1wBo2bBjy+TzWr19vWJ3WrFlTcSq0DRs24IEHHsB7772H888/HwMGDMDLL7+MoUOHYtttt634PGpFRQOnbbbZpuKR4bp167rUIYvFYrFYLL0P5xwzZ87Eww8/jMWLF2PHHXc09qfTaey7774lQdj//Oc/1QKysWPHwnVdLFy4ECeccAIAYNWqVVi+fLkRUB7Ha6+9hsMOOwzNzc344IMP8N3vfhcDBgzAww8/jH/961+4/fbba3S2lVPRwOmaa65Rf69duxa/+tWvMHnyZOy///4AgOeffx5PPvlkryT27S7ycFRAosODWQ4DNy1QnBuz2QzhYmYEwOMp1NM8Wr1AhmCDphzdwlLoT9sBAAUIy5LMM8VAkNNmnjnmIufnORvgbEbWDxTXAy11Oqtm29l64gIpO9NuZ61VJYGpFbbhacfmOS8JHA/n6eosYauJCw5GZN88JaXAUEA9LWCdJ4LF86CamjQHeLJqe4kFJ+Z6Jp1TraQMKrlu5SxQQHwAeaUSBuFnSj4LUfnvyuZ75OH+xlt/kspWYmWKszCFA8/NslpdRjA7Q4GJ98v7HUMwIrVBe4+QEsOqvH7hd0yUtUmeJ/NlA6L6J+vUrVx6PXluWqry3FEWJ48LhXZXSb50/R6J7aGcoJ1YtVbs6kq3SqmBq65ai9WMGTNw991345FHHkFjY6OKSWpublYr0M4//3yceOKJOPDAA3HwwQfjiSeewGOPPaaCs5ubmzF9+nSce+65GDhwIAYMGIDzzjsPY8aMUavskjjnnHMwdepUzJs3z8hZd8QRR+Dkk0+u7oRqREUDpylTpqi/jz/+ePziF7/AWWedpbadffbZ+O1vf4unn35a+TktFovFYrHUiBq66irlhhtuAAAcdNBBxvb58+dj6tSpAIBjjz0WN954I+bOnYuzzz4bX/nKV/Dggw/igAMOUOWvvvpqpFIpnHDCCWhvb8ehhx6KW2+9tSINpxdffBF/+MMfSrZvu+22vRZcXnWM05NPPokrrriiZPvkyZPxk5/8pCadslgsFovF0rvwCnNATps2DdOmTYvdn81mcf311+P666+vug/ZbLZEPgEA3nnnHQwePLjq+mpB1QOngQMH4uGHH8b5559vbP/Tn/6EgQMH1qxjvU2RU2Um1s3kHuFwOAOTAaiEIy1deYQA4Mr8K3V5pB4TSJDAk4Eix9NY7bvxXFIs0YDJMeGacwiHS4oqAXATzSGn6iwiDVazRJPhenpKo0R3Y1UTHF6Jiy8qoSlQRgVclSWh71p7NbjmQR9MZeYsYRjgCBX5AqfaggNRtqqZY4J9vzNuvO4mSiurpIy8TxG7o1yrlbjgKiHR9abdTd3lpPaXcc1FaTKF6w0ripfoPJX0z9w/JC3+B/R++2AMSI3ArulVAETQu8OZ8ZyFg+yp/72RAi0suJ6MBwtopDq61F8SyuWB1px+PcLvVw8keK9BtO8SmSFBLKRhaoFHvCZWSUB9GXdcUqB+JeR70FW3NSX5lRx99NH4xS9+gfvuuw8AQAjBhx9+iJ/85Cc4/vjje6VPVQ+cLr30UkyfPh2LFy9WMU4vvPACnnjiCZvk12KxWCyWbqCWcgRbEr/+9a/xjW98A0OGDEF7ezsmTJiA1atXY//998ecOXN6pU9VD5ymTp2K3XbbDddddx0eeughcM6x++6749lnn8W4ceO6o4+9QoE7KPiB2p6RN05IFEDOojjgETljBHKgaGFCOmCD12CohdeTDqS12ZcIfpQq41k0OTm1T+SqE095luSNgHSKQMZAzqQrsdJ0Zcbdk/mYopbhx5JgSqbKehStalxZXxKsNVVckgIvH3AdvsZSiT6cU0yUi7eehSUH4ixjDkk+v5LyX+CcXBI9cDlMpBUpwspk1BOyMsVboJItTHEB32bfw5aV0iducEqo0a+kA/FG27ZqIctgZxMaaAcaSJBvVP/diABwfwcRUhr5CiwzLmFopMxYsi8lB/J+Lr1AdiWFVv/dmSYeHBKf+zTyWlcQ6B11X4BSy51ethxfnAytfZOmpiYsXboUf/vb3/Dyyy+DMYa99967osDy7qJTOk7jxo3DXXfdVeu+WCwWi8VisZRwyCGH4JBDDuntbgCocNVxVGBWEi0tLZ3qjMVisVgslgh4jT5bGGeffTauu+66ku2//e1vMWvWrJ7vEKoQwFy1alViJmKdbbfdFq+++qqRIXlLI88duL6rziFEmb0pmFCv9feBeACXiXtF8KJuBs7SggrybmFZlZwXME3pTU5O0+oB2lgG/X0laTeUyFfHAylx5ejoSTUd8JJkmdXQGY2TrqK7MKIU3BPdemE3XomIq+7+9OuT16oTpxp2ZbmEoOD3wSFAjvPEq19JgD/jcUlXow9OCvJmFbgPdVRC4S3QYxe+XlEJaqO+l3MJxamBh11sYRdRlGsuNnicR7vxRPvxdzBOSwkAdsquwast2+O1tpEAgKHuJgxIbcYO7ucAgP60XYUK1FPxf9w2X3SslQeZFcJkiYdWnjIWugDBc1YAUe8gkZnBUWEPBZ5CwU+nLUIciApID84p6Vok3wtVrgJl9qBs+Ye9p5TDt9YYpwcffBCPPvpoyfbx48fj8ssvN3Qme4qKBk6cc9x8883o169fRZUWCtbra7FYLBaLpWusXbsWzc3NJdubmprw+eef90KPKhw4bb/99vjjH/9YcaXDhg2D67qd7pTFYrFYLJYQW6DFqKvsvPPOeOKJJwzRbQB4/PHHe82rVdHA6YMPPujmbvQ9OrgLhztwCEOBO8r0TMGRhqeSVgJQpmYKgjwcZd51SVF8HJHWwIWHrLZSJE9T6rs0UUtEWhWxT67G8ZRL0FMr/hzwklQJ4bQp8nsLSyHHUyrNgtRIqcYF15nVdUkug3IY2lYJ/XTAS9NShOzSjua608tTqY3ko69EK+eWinLPuf75FgxdLplOJWhDT+2S1/qWdI0d8EiXXpxLIfwsAGYKjXgncPwqxHIuxUrudmfdfZVoZ4Xdk4HeUER9EavoYl0+EWlUwi6hpNQpYfdcyYq7Cl1ycb+npN9HmAbagRHZDXivVQgIrmzfBmlaxIjMMADArnWfYNeMUGXu7zvXhMsOaGHUT8Ir2ssSTz0rLuFoQFE9dw44HBDI9cJtzFFaTTK9lO6CD7v4dN2mal1z5dLYqHoS3H+VaDoVrI5Tt3LOOefgrLPOwmeffaaCw//7v/8bv/nNb3rFTQd0clWdxWKxWCwWS3czbdo0dHR0YM6cOfjlL38JANhhhx1www034NRTT+2VPtmBUwxSxykI7vR1k/wAcFfTcZIzpgYU0cYJ6kle7KNmYLcDrvSgHHAMdDYHquJc1C1nbllSCJIFw1cxV2rJVLUZDpgOWxh0xeQWlgUQWJqcCA2kchalSq1HtQokZyifywgotS4BZnJm08IU0r7iPBQ4HgRxe9y0jjggap/jB3+72rEUxNBGCq6W2F6SeNj/N02I0oPJMRoZCN8Zkiw05dTaywXGRlmzgFIrVmTdMYrf1RIX/J4UDB7eH2VtqlSrqZxOUzkrkygXFXQebWEKW5Wi9IcqZbv0OpX095OOZmwuZPF2QSRuLXBHac6l06sxwCmihQVtUcKR9e+0SzhcrVseAiuMQzhynCPnW5c2sYxKVi7fdzkWWKDy/vuQhizpSZpMQHlrn6onRlU8LjBf7Ev+Hdjg8O7nBz/4AX7wgx/gs88+Q11dXcXx1t2FHThZLBaLxdLX2UpddTq9lZsujB04WSwWi8Vi6bM88MADuO+++/Dhhx8in88b+15++eUe748dOMVQ4CkUuBO46GSAKWgoMBxIc99kTbkKvAaALG0D40QFQequOEq4r1ESlBeJfoMpgQwAz5IisjQoJ1yFMvmlTK5p9t/VgpFbfFN4jqcCNyKS3XJxLrkkF1ylgePVJtGshHBQKRCRnBlB2pySoHou74s8ViADxaW7jgKoJym/DEcBHjwuA2MpnJCrzpFuPM5FHVyrn8Nwcch7mIdjJlyNOadyRLn7wvdPlqk26N8BT3QD6n2P6nOUm68zgerBsfH9r8RNVy4gXJapRKtJ7oty00XpMwVB59T4Hi6ntxXuQ2fZNrMeANCcasfHHf2xOieWfX+c6w+XCI2nVpbBrplP0F/ToEuDIeM/O2lCDHe1xxkKkJpP4h0mA8IL2uIZB/AT+4pE53le+r+jcLqkaq6/pLOaWXp5VTbievdUcPjW6qq77rrrcNFFF2HKlCl45JFHcNppp+G9997Diy++iBkzZvRKnzr1q/v73/+O73znO9h///3x8ccfAwDuuOMOLF26tKads1gsFovFgq1WOfz3v/89brrpJvz2t79FOp3GBRdcgIULF+Lss8/Gxo0be6VPVVucHnzwQZxyyin49re/jVdeeQUdHWIW0tLSgssuuwx//etfa97J3qAAijx34MjZoLRWgMEB0WY5gSWokedL6qHEtEKFUTNp39qkB3LLmZhLihjsbFYJOLM0sEbEzXba/JlRC0tjjdeotusWJ9H/yi1LcbP6uFlvpYGrtUggbMgzqHr14HBmBIcDLJhdEs1a5QeKx1k4ssRRViQHBC6YsjgVOEMBgZXJiwi+l5Yrxz9et0jJ69DG0nBJMfG5qYRKlqdXs4Rdh5V5A+sSuJGB7pqafWXtdZ4kZXCgOnVwoNRaEW0FMeuJsjaFg8GjgsDjLExRVrxy1idHe86lInfaf8aanTbU13Ug41u2V7QOwv+1ikwRm4p1aGFZjMmuBACM9BMFy9o8cGS0fjoEKPiB5NLSFGXFy7OUL/ciE50TZGmhpK/68ZHB9ZH7oq2G5ZImxwXoh/fpxxV6ajSylcY4ffjhhxg/fjwAoK6uTqV0O+WUU7Dffvvht7/9bY/3qWqL069+9SvceOON+OMf/2iIXI4fP75XfI0Wi8VisVi+mAwbNgxr164FAIwaNQovvPACAGDFihXgEZPTnqDqgdM777yDAw88sGR7U1MTNmzYUIs+WSwWi8Vi0ZAxTl39bGkccsgheOyxxwAA06dPx49+9CNMnDgRJ554Io499the6VPVrrrhw4fj//7v/7DDDjsY25cuXbpFJ/UNwyBM6zKwVJmauQOHcLi+i87jBB4R48/VABq1AEoAQn9Jww2ZoFVwrh9ELjVOWllGueqyhKCFZJD1FcgdXqqSHUb2dy1rwCeFbQAAI9NrQ2VKlZDDx6vvEW6AOFdcYtB5GXdCNcHP0W1HBGZDukJkoL9w2ykXEofhrtMTizL4Kt+GO0bXaQqCwZnffqGCWZDUg5J1Ca0bza3BUyXPShI9nYA5SjcrDl1PK0wBlbnrKmkvXE9ywHj5YPCkckD5QO0oN3iUazTKTcci3EuizVK3VKXaah6nwQIJmO4w+ff2GfGO+DjXH3lPPI+f5xvQkOqPYSkRTzLM2Yxs6Nks57o1XOiau4xxqhbPhMuXe+eUCwZPctElBYGX09AK3/euaGlVxVbqqrvpppvAmHjevv/972PAgAFYunQpjjzySHz/+9/vlT5Vfce/973v4Yc//CH+53/+B4QQfPLJJ7jrrrtw3nnn4cwzz+yOPlosFovFYtlKOO6447Bp0yYAwJ133gnPC9bcnnDCCbjuuutw9tlnI51O90r/qrY4XXDBBdi4cSMOPvhg5HI5HHjggchkMjjvvPNKkvBtyRS4g5Q2E6L6jEQLLE4TL7DcMIpG2qEsGQVOkeNuIEEAU45AX95c4CnD4uQQjkbS7v/N4GqLtaNm0nGzdo9TNZt04RmzzCiVZP04nZLZdQUWqeDYKItW+TF7tUutHcKMJe2mtYArC5S0PqVlaUKVirojFdn947JEBHBT7RxkDjqmWZoAkW9On4fr6uTyb6VIDtkejDoAqHut35/Y+1uFha5T11M7Rn92qgkqL2dFlIHkiWrpPFpyQvUtIldhHKXB4pVbmUqtSt1r6YsKBo+zNgXPS/R9FpbWID+cboGS1FOxeKQxlcNar58qW+SOYRlySWCF1S2nDEAbI/+/vXMPk6I49/+3umdmd1nY5c4uYeWiUVTwhiRCjIIXwETBeI5oYgSU6DFyEYFo+GEiQhA1CnpIBDVkRY1RzwkkGhMUwy2IGt3g8QLeIreYXVGCLC7s7kx3/f7oW1Xfpmd2dmcW3s/z7MN0V3V1VXfPUP1+33pfoZ7xLPst3mjmqpM5wSRphnbRWBJ+7/Vhv1XpHMKDSGdtCgoHYbXbGuFVfDmKLE5//OMf0dDQgLKyMlxzzTUYM2YMevbsme9u2WQVx2nhwoWYO3cutm3bBl3XcdJJJ+U9BDpBEARBHKkcTXGcBg4ciDlz5mDkyJHgnOOZZ55BWVmZb9185KvLOgBmhw4dcOaZZ+ayLwRBEARBHOUsX74cM2fOxPPPPw/GGG677TYw5rU2MsYKd+J02WWXRW5w1apVWXemkNC44jKJO+hgtnSnQxGkFQWfaR3RQ/0SgCG/WdIbYEgwlqnXcS43Y5pwI6KuFVclzjQUm3Gb4kyXYvqEygOcI27KgBbl6iEAsJN2hiUqdcboL0n41w2XPoKO8zuPfExmMkjSdNy3t81/Feh2cmajf6ZsZ1ZNQINmfik7MI5ODIgz2WHVkeW4JEtoQgRtHUZcLUd+dWL8qOCIM12K9K4wOUGo5QyesJM7O9fcev6SUCXJNYpMEORQK8YN8yPJVTkCeJaSRNJnn+Inu/m8DYvyYNLnWbHjmbnbj/hqHSV5rFTf51qGJpHNsYxjy0M+CzvcEcjdiH033AZ0gAlSLHTEzd+ZIiWFRtM53H0t44xLya7FO9nIOZqhSgsvNDjfCU2Igdeox9HE4/ZijE7qYfv8Glfk+Gqu8cvj8v/9iRId3O+aBSVV1l3tWudt6YKWyBxFUt3w4cPtsAOKouCDDz5of1JdeXm5/ZlzjtWrV6O8vNy2ONXU1OCLL77IaIJFEARBEEQ0jiapziKVSmHChAl2oO1CIdLEqbq62v586623Yvz48Vi+fDlU1Xgr1zQNN954Y6AG2Z7xdbTkjgVKettg8HW4tEhC9cz4LYfLJFTpOE1YomxFDA9dci4WcaDBtHQluYpSM0SC9ZYfvIzX3zIh1gtz9E7nUG7Uie4ono2Fw7LgKOJSa/Mt1w5HYFmfrK5w5606bjoZH9QdG6MVksA4VhwLkASTQlYYCwKMr5VhRTQtjCyFOHQUm5bGBHTb6mSMFd6FAz5Rjg0naMX1hhzRKdrj2BzhmEgtZ4PPEnQfC0PStVTd7SQvRSgXv3dCNb92RcIXNkRfFBHknOzXTkvQoIRamryR0QVLk22pNJ5N65q5rU8K42jWjWtv5eIsUxsBGN8RY4+8+MI6t7zoRZUWvTTyuPObx2OIMw0dzN+nUqVJWgRj9NN9HdP/foRaCX0c6DMJP+D5DrmUCSK3xGIx/O53v8O8efPy3RWJjO/4r3/9a8yePdueNAGAqqqYOXMmfv3rX+e0cwRBEARB4KjNVXf++edjw4YN+e6GRMbO4alUCtu3b8cJJ5wg7d++fbsdpIogCIIgiBxyFPk4iVx00UWYM2cO3nnnHQwZMgSlpaVS+dixY9u8TxlPnK655hpce+21+Oijj3DWWWcBAF599VXcdddduOaaa3LeQQDYuXMnFixYgHXr1qGurg69e/fG97//fcydO1cKgOXndb9s2bKsootqUODngAkAusv5USTJVY/p2InWq9im5kYegwJuyHcmzTwmSxNmM8VIIcG1NE7hVt+YFGU5zjSPBCiPJb08Z7VrjSFSWyGReYH0CTSD2omKKpriocNKzmz1U0wArEGx5QhDeuOC1MCk66JyLkhqRnmjec80KHbsLqPv7jGlnH4xR64DgGaX/CJKGiLGwgTuiqkU7JwclajRp1sTJ9ZPeKRxC8Xzv4BL1jOvUTq5D4gmd6ZzTM42mWw6wu6pR6YC8/luidK8EE+J6QB3nkdwJ+FuSnd+4xJKCiVKMzoph83+wIy2772Ouil7N+pGO408jnq9GAf1EvP8zF7A0Uk9jATTUMy8ydEB733zG6/RZvjilihRwtM5hIvnaTNncBcMaPGZ89PzlvHDH/4QALB48WJPGWNMCo7ZVmQ8cbr33ntRUVGBJUuWoLa2FoCRhuWWW27BrFmzct5BAHjvvfeg6zoeeughHHfccXjnnXdw3XXXoaGhAffee69Ut7q6GmPGjLG3Rcd2giAIgiDaD4WoZGU8cVIUBbfccgtuueUWOyR6azuFjxkzRpoMDRgwAO+//z6WLVvmmTh17twZFRUVOTu329pkv5lwK3q0bGFq0ItQlzKuRzFLwnDBtKJRiw7HDI08LoUr0LmCBr0IgPG21aga1rQE0wBFfivz9Et8+xMcjcuURuGcmTu6hjleZvpWJ+4PsiSly//l7p+F2/qQ5I7Fwcj95oQqiCNlO4wDhuN2g5kXsANPSs6tbkdccWm2ynXbygQYb9dui6NjbWRQuGJbGFVwNDPxGjE0m2WNuhxF3o8ExPAU4daLbJxX2yz/lg9+4QssfMMY+KAy3cfSpKdtPwrpnJEB/5xoUb8T/osqvJYRd1tua5P1DPsusrCsTeZ3xKphPXOfN5cipRt7E4qGYiVp/6Y0mGEq4lKoCuecjWYWBAD4Qu+Az1Kd0GxaskqVJpQpRniUOEt5rItJn0UD4vilcWdgpY7iDO4+1h1+wNgnh28RlYlW5yiV6gqRrANgAq0/YQrjwIED6Nq1q2f/1KlT8YMf/AD9+/fH5MmTcf3110NRgh/spqYmaamjNRkkCIIgiELhaAxHAADz588PLf/pT3/aRj1xyHji1L9/f19fIouPP/64RR2Kwj/+8Q8sXboU9913n7R/wYIFOP/881FSUoK//OUvmDVrFj7//HPcdtttgW0tWrQId9xxR2t3mSAIgiDaFYsWLcKqVavw3nvvoaSkBMOHD8fdd98tLQ6bNGkSVq5cKR339a9/3Q5gCRgGitmzZ+O3v/0tDh8+jPPPPx8PPvgg+vTpk7YPq1evlraTySR27NiBWCyGY489tn1MnGbMmCFtJ5NJbN26FWvWrMGPfvSjjNqaN29e2knL66+/LqV2+de//oUxY8bg8ssvxw9+8AOprjhBOu200wAYs9WwidOcOXMwc+ZMe7u+vh5VVVXQOQtNmik7Exr/6pxBE+SXMrURCnQ7GrgoJzXyhCHH6IZpvInH0ajHcUiQ6uy6agxxnpISxnpM1xHeJIKif4fFnwmS5oyycBkiE4dLv774laczi4umf6ctFQo4dEs2Mx1UnejtzNYqDuoJ6byGI7nsHB4kcSbh3E+LYsWM/g4NSaiSrBK3ojcDkuSnC4sIrG1L+tC58bmzGQ3eSsTbUmktihN+ITiQ+8V/8tbwynQApKjyIlHlP4uoElHYgoiweEFh0pDRDguNEu6W6PxkLo0rgJKyncN1c8FBk/n8/rupA4pVJ4p4B8FV4JAeh8K4vaBCETIVNENFo+5kTGjQi3BQK7HjR1nZEMTrEFWGC3tGw57NdAtRMnEGD0qw3CbkQarbuHEjpkyZgqFDhyKVSmHu3LkYNWoUtm3bJq1uGzNmjBTvUVy0BRjzhueeew5PPfUUunXrhlmzZuHiiy9GTU2NFNrIj61bt3r21dfXY9KkSfjOd76T2YByRMYTp5tuusl3/y9/+Uu88cYbGbU1depUXHnllaF1+vXrZ3/+17/+hZEjR2LYsGF4+OGH07Z/1llnob6+Hp9++il69erlW6eoqAhFRUUZ9ZsgCIIg2pw2ltrWrFkjbVdXV6Nnz56oqanBOeecY+8vKioK9C0+cOAAVqxYgccffxwXXHABAOCJJ55AVVUVXnrpJYwePTrjfpWVlWH+/Pm4+OKLcfXVV2d8fEtpkY+TiBVrQZx1pqN79+7o3r17pLqffPIJRo4ciSFDhqC6ujrUb8li69atKC4uRufOnSP3iSAIgiCOZNy+vFENCAcOHAAAj3/xhg0b0LNnT3Tu3BnnnnsuFi5caOeWq6mpQTKZxKhRo+z6vXv3xqBBg7Bly5asJk4A8MUXX9j9aWtyNnH63//9X19n7Vzwr3/9CyNGjMAxxxyDe++9F5999pldZs1yn3vuOdTV1WHYsGEoKSnB+vXrMXfuXFx//fVZWZT0gNUSoWlAzJQrmu5ILp3VQ/aKEktWAYwEl9YKOsCI4XRQL8aXqWIAhvnbHRfGSfOieOSiILKV5azzyOXpVwiJZWEm8CDzt7ftzGLfOKvWHLlGYRwqdPucRqIJ3e5fgml2ptIGFJn9lc/rF5fHaEWRxmnFwTHO68TFsVJJiBFHkhxSUlNbqrESA1uxmjigC9KHDiZJUe4+iP1uCVFT3hSGhOfgXjVnr6YT3tYVKQ2L/+q7dESRhzKVhYz93u+GGFPOL3aTdc6oKWEUcOhcgcqcJ1JhHAdSRrylGNPRvdhIVt410YCusS/tes1clb5PohXEWg1qfQ+t8SaFWGfONZD/+0kndVpjjErU2HBRXQf8VjaKLh2tTS6dw6uqqqT9t99+e9q0JpxzzJw5E2effTYGDRpk77/oootw+eWXo2/fvtixYwd+8pOf4LzzzkNNTQ2KiopQV1eHRCKBLl26SO316tULdXV1afv83//9355+1NbW4vHHH5dW27clGU+cTj/9dMk5nHOOuro6fPbZZ3jwwQdz2jmLF198ER999BE++ugjjzMZNzPVx+NxPPjgg5g5cyZ0XceAAQMwf/58TJkypVX6RBAEQRBtRg59nPbs2SOtio9iXJg6dSreeustbN68Wdp/xRVX2J8HDRqEM888E3379sXzzz+Pyy67LLgrnIcuNLNYsmSJtK0oCnr06IGJEydizpw5aY9vDTKeOI0bN04arDWIESNGYODAgTntnMWkSZMwadKk0DruWE+5IpM3HKuu9cbboBehmCXtN5Ri1mx/tmL+WG9ijTyOA6kOaEgZD3Dn+CHbkVIxE7uKiTOzecvPxKIEhDu3usujvsX5xUEx2o4S7yY4eamFZUkwkiZb8bN0yUqjMI4EUlCscwvWRU03kjRbjsSa6w1ftCi5cV8DVbp+RZITsvVGHg+IDm44i8fsdi3n8ANaB2hg6CTE54pi/WspYY65rRnzKdsEqmJkdb/YQAqXrUqi43hL4jxlE5/MjpkW4Hjs/m64vxPu5L6iU3iwY7NMnGlIsBTqmoz/TLsXN6BX0UEAwDFF+9BJOWwnr1bAvfGXhOe4mTvO4ToUKMwZvQpdioXnHo+If5Twlll3wmJkGeXpLeGe+1FgFtcolJWVZRROaNq0aXj22WexadOmtCvhKisr0bdvX3z44YcADFWoubkZ+/fvl6xOe/fuxfDhw9Oee8eOHZH72VZkPHEqtCzFBEEQBHGkk484TpxzTJs2DatXr8aGDRvQv3//tMfs27cPe/bsQWVlJQBgyJAhiMfjWLt2LcaPHw8AqK2txTvvvIN77rkn4zHs2rULDQ0NGDhwYCRf59Yg47Oqqoq9e/d69u/bty/tskKCIAiCILKA5+gvA6ZMmYInnngCTz75JDp16oS6ujrU1dXh8GEjb+GXX36J2bNn45VXXsHOnTuxYcMGXHLJJejevbsdKqC8vByTJ0/GrFmz8Je//AVbt27F97//fQwePNheZefHypUrcf/990v7rr/+egwYMACDBw/GoEGDsGfPnswGlCMytjhZPkVumpqaPLEb2jM6Vzwm8MgIkt0XWgc7lo/GHR25UTfSrRwy4wZ9mSq2ZToA6KA2obPaYPTFTmMQM7f9nYGjEiTfZBLvxOqHXJ7esdJqN0yaE693kFQXKKHacpxuSy4q51CYLkt3nDlJTJFyYjEx1Xb69uu728HWb5/thM45ksyUYqGbaSucxLMaFMMx3T7WSuNj3F9bqoNiJ0k9oJVAAYcWV8xjFPOaBcum2RIcryjg+clRCtFs5TkRvzhOFoaM55Qr4JLjuH99L1H6GXRNMl0QEfY98Gy74g/Z267nQpQwk1xFg16EJjM5b9dEA7rHDamus3oIGhTUm89ggmkeqdOW5sxn0XYG5wo6KY3OIggoQkJyxeUs7pBOUmsJfvfEN9ZVGjcCoyxYasw1+bA4LVu2DAAwYsQIaX91dTUmTZoEVVXx9ttv47HHHsMXX3yByspKjBw5Ek8//TQ6depk11+yZAlisRjGjx9vB8B89NFHQ40ty5cvx/XXX29vr1mzBtXV1Xjsscdw4oknYurUqbjjjjvwq1/9KrNB5YDIEyfLs50xhl/96lfo2LGjXaZpGjZt2tRqPk4EQRAEQbQtQYYSi5KSErzwwgtp2ykuLsbSpUuxdOnSyOf+4IMPpODXf/jDHzB27FhcddVVAIA777wT11xzTeT2cknkiZPl2c45x/Lly6WZYiKRQL9+/bB8+fLc9zBPaGAeZ8t0KGJSWQAwk7rGzQi7DbzIjsxrOYY3CtsxRUOXmBERunf8C8dB2XQUFqNH53IJeK4T7oYnJGUeC5NR12tN8rv+QdYfN4pYj+lQwKDbFicjwa9t4eEMcdPyY7Sp2tY9wLg3UZaoux3HFabb7SZYCkkt5rFeJM1yd/saFPvZaORxHNBK7LIOapN9z1TXW3vY0uqWEtV6AmTvlN4WS7tFa5TiegX3u89h1qt0hIcsiL78PswK6/5+uC29gRYTrkNnQrgAHYibz6fKuL0AQeMMh/QO9mGdlEYpnIMVzR4wnj/p+oLb1iarLQ3uUBo+487gWcuGqPcl/QIZhowViWw5ypL8Hj58WHJg37JlC6699lp7e8CAAZHCGbQGkSdOlmf7yJEjsWrVKk9MBoIgCIIgWomjbOLUt29f1NTUoG/fvvj888/x7rvv4uyzz7bL6+rqUF5enpe+ZezjtH79+tboB0EQBEEQBABgwoQJmDJlCt59912sW7cOAwcOxJAhQ+zyLVu2SIE425JIE6eZM2diwYIFKC0tlRLi+rF48eKcdCzfJLkCNYKJXhWm8JYZV5LseAyNpk58SE9IUh0AW8qJqxriSgq9YvUAgA6KI8c08yIkeUxyuBTRwaDk6FUiG2dW+9gWSA+BUkRILJp0so4lw+hgAFfta6Qy3XAWN++LwpzYMio3on0HybQK00OlErGP1nkAoJilXNGqDVnISp6qMt2WDpM8ZiwIMJ+Vg3oxDmnGwoFiJSnFcGrmqiR3pEuSHESmDtBeCSPguclAsmuJk20mcon4nXV/bdz3qLUIS87rVy8shllYnDSvNC60wxQo1ncAXPquJXXFfiYO6UU4pBfZklvc5RwuPn+WC4L13StmSSS5I1GnS2CcibSZLemeST85Lqz8SHYOzye33norDh06hFWrVqGiogL/8z//I5W//PLL+O53v5uXvkWaOG3duhXJpLFG6e9//3ukaJ8EQRAEQeSIo0yqUxQFCxYswIIFC3zL3ROptiTSxEmU5zZs2NBafSkoIi8z9VgRuGR50sDskANNetx+o+3ANMl5uJglUawkHSdlrthLfC0LhOiwHPXty+38GpUo1iOnbmZvaL6O4BGi9/ov0/a/Dgrj0MyhW87dogVK4YoTroDpdtgAFRyNelzIa+e9fuIybzH/oBvRSbaJxVGkyDGp40KOPCufnnic5Wz+ZarYHm9XpcHor/gsCG/ugdaFNESxDKV7JoIjQIf3I7P8Yy1/afOLDG5bodJYmf0sUrmyOIRZnOw6AZZFqcy8T37fEd3tHG61w4znrkkznqsY02yLp2ZF/za/P8bzqUrPvfisa1BgZdZMctV4Xs22/PqVyW9LVDJ9TsLOE9aWzhUkedtYKQngxhtvxPz589G9e/e89iPjp/Laa6/FwYMHPfsbGhokj3eCIAiCIHID4zwnf+2ZJ554AvX19fnuRuYTp5UrV9pRQ0UOHz6Mxx57LCedIgiCIAhCIA+RwwuNdHGl2orIq+rq6+vBOQfnHAcPHkRxcbFdpmka/vSnP6Fnz56t0sl8oJkReN0mcbd0Y8k1NuJnl7N4kZJ0olczHSocqc4t+VhJgAEnynRYwtsg1BY8aOlM1FHrBzmyAuHOzH6mfN0nXpFzLLNjX+nCsI1I4I5zuNWGW7oDDBlHlh3k83rHFi3hcpLL0obKdOhMgc6cZ0R0WtbAcCBlxM45pCdsJ3LASKJqyXpWFPawRL9h2AsZfB4Tv9hSQeeIkoDZr16UY6TjW8kRNyixr8dpvgUxncLIJBp72AKJdN8VTZK7VUnKP6wn0GxGDi/hSRzUjd/4DkozVDPaPuBECQ86r3xu1X5G3XWjZGZoCxk36jkCF0q0kXP40Yimadi8eTNOOeWUggqBFHni1LlzZzDGwBjD8ccf7ylnjOGOO+7IaecIgiAIgjj6VtUBRm7c0aNHY/v27ejSpYuvm1A+iDxxWr9+PTjnOO+88/C73/0OXbt2tcsSiQT69u2L3r17t0on80HKXFbrxrJAqD6WJQ+mFcEdpkDEDjHgeitzL4mPlKctApkut87WCpBuWXy00AXhb8x+ViC/fYq1CtT80VAZN5b+c6uch1pXAs+VodIt5sdLchVJ4Y3fCEfgWMAa9Tj+3VxqH9uxqMnsFzOceHnc3jbazu6ZUMLe9oNy1QWcM4pzM5B9rrtM3+yzXb4uWmFaEjU8F/iNId2z6Y34z3zrAcbvHAA06THsa3aigytMR9K0PjWBI8600N8g63dFtZ9hYYEMl61LUSznubY+tiSPYrrzpNrKOfwoW1VnMXjwYHz88cfo379/vrtiE3nidO655wIwIohXVVVBUcg8SRAEQRBtwdFocQKAhQsXYvbs2ViwYAGGDBmC0tJSqVxMy9JWZBw5vG/fvgCAQ4cOYffu3WhubpbKTznllNz0jCAIgiCIo5oxY8YAAMaOHSvFkOScgzEGTdOCDm01Mp44ffbZZ7jmmmvw5z//2bc8H4NoDZJchRJgpjccJf0ThVpxSwDYsYLsbTAndhC3EvgGR8y29wtxg/zwl6fa7tUiGznB3h8gKwQdF0Ue8mBJdOYHK+WoKFuGXa/cJZ5VpPOojNt9Ex3bNc5wWHMccIuUlP0MJV0Ssl8crHSIMnOQVJfUY1JE+mIlaV+vIOk4arLWTJ7jzCKP5+g+FeBbeZgsHJikO+S7Y92/pGY8S4cQx5fJYiRU49tRoiad3x0waFIMOW8iX+uZipvx6Zy+qWkzAzhjzF6qzfTe5zJJepvFcTpKpbpCTPOW8cRpxowZ2L9/P1599VWMHDkSq1evxqeffoqf/exnuO+++1qjjwRBEARxVHO0SnWWm1AhkfHEad26dfjDH/6AoUOHQlEU9O3bFxdeeCHKysqwaNEifPvb326NfhIEQRAEcZRSSO5BGU+cGhoa7HhNXbt2xWeffYbjjz8egwcPxt///vecdzBfpLgamOTXY1IWYwYxLpmxxdVamchBUZLohpKHN4vAVVgRV78Z+6NJcekkPD9Srm2/FYZB9ygbGcivLTGuVsrVB/EcRUrKPr5IcXpuSWgWma40U5lLZnbFlrKe3UNaAoe1BEpjTXaZ4pJbwmSWbFZR+tVz2g8fZ5BcFUTu5NdwciWZR+lvJrGz7BWr5jGHtThSXEGxEOvMTtyrx6Q4c+7kvKJzhrGKTrVlcWsVXaYplbxjaJlMl+kK2KhonKFJb6Mf26NUqitE96CMn6YTTjgB77//PgDgtNNOw0MPPYRPPvkEy5cvR2VlZc47SBAEQRCEI9dl+9ceEd2DSkpKsGbNGqxcuRJf/epX8eyzz+alT1n5ONXW1gIAbr/9dowePRq/+c1vkEgk8Oijj+a6f3mjWYsBmv/lySQWUkveONvqrTjXZJMwM6oFyt7vsXBkFn1YYXpg/C01V78w3Btp3u2Y7uec7USXtxI+Mzvhqgo9I2uk+/mzEh5bZZqrTIydJSah1iJYDcKcu7NdHGDX87Vatm1y4HS4+6gIzv9tRdhvhvt6GZYjo/4hLYFmTUUjM56z+pSTGaKj2oS4onmsQ9a9VaFDN1c7WdYp6xfSyr6QLiNAUN8zsWKHteOU5d7ypOmU5Lc1KUT3oIwnTldddZX9+fTTT8fOnTvx3nvv4Zhjjsl7xmKCIAiCOCLh3PhraRvtjEJ0D2rx9LtDhw4444wzaNJEEARBEK1ES2W69irXFaJ7UCSL08yZMyM3uHjx4qw7U0gc1mPQ9LhHailUMk2lkmsyNYGHxWyJ4ujrkR18zfwh7UTsb6b3P0yaVVxpesQ4TuJ5mk0JpYgbwp6uMMQV49gU1MwcoblXerSui3jOFFfRpMUQU6yk0xwlqpP61p16JEpyWeNcVoyn8Phczv7sFgeEtZGOlqTjCCXDn45sfmuy7bt1P1K6av6rIMUVHErF7XZ1W4JVUBpr8qRAstpQGYelzSmM+0pzfpKt37ORqWQPhDu/p2tHjFWWKda1b24r5/CjlEJ0D4o0cdq6dWukxsSongRBEARB5IijdFVdIboHRZo4FWLkztamSY+Ba7E2jcAdhvgG5denfFucohLFGhBqTQhLSpvF22qmpLvOYW+vitvqItxHOSyBgmbdFZleOG26JKmqqw+6K0K6BrNt7lyzw1oCTXrMDj9QpKSggKHJjBjtfubCHHnDLAjpLEqZ3MOgZyETi1xLn41MF3AUyu8JYPQ95bIMWU7eOmeCEzdDijuWTqPMiQaugsN6pGLQXJHtWWiS7rBnOdMFAVGt2LqPo7p1X9zf79Dzccvi1Da/vUw3/lraRnulubkZO3bswLHHHoszzjgjr32hTL0EQRAEUejwHP21Mw4dOoTJkyejQ4cOOPnkk7F7924AwPTp03HXXXflpU80cSIIgiAIoiCZM2cO/u///g8bNmxAcbETJuOCCy7A008/nZc+ZRyO4GghqccA3ZIpCtfx2o4HxDKfA7vN1Nke7/SldaMkp5NVspX4MkLoQ5AsF3Qd3EmFde44pupclY6LuSKKN7mSrIYRGitK6FqzHkOTEKusRE3aMp/7nFHurR4gh8gJXtNHfPdPDBxdtokWSTr756FF8dV8LmM+5TvJOVxXEFOcGF9iv5q0mH0fLYktKTiPl3AjDUaJmoTKuEfWs/B7FiTpTIoPlll2gEzuu3hunTNJqosiS4v9SbaVVHeU5qr7/e9/j6effhpnnXWW5Ed90kkn4R//+Ede+kQTJ4IgCIIodI7SOE6fffaZHcdJpKGhIW8L0mjiFECzroLbDrrenHWZ5J3zI9M3+OB2cqu2hjk3u9/SgyxW7jZaMtYgy0C03F15ykfG/fe7ncONt3rBCmVFDLetPsa9bdKjW5uMds02fUIe6GC2lenLVBESZviBYjP0gGVFCAvXkO5++lmeojpyRwkzEdRea0SMzvYZ8gv5kC25ski5FyDonNmLEA6l4uABISNSuopmlyVI54rtWJ7SVbudw1oCcUXOHRZ2jz0WyDQO4rly5rfOk9Ll9tyWtrA2LJK6f05TIjcMHToUzz//PKZNmwbAWb3/yCOPYNiwYXnpE02cCIIgCKLAOVqlukWLFmHMmDHYtm0bUqkUHnjgAbz77rt45ZVXsHHjxrz0iZzDCYIgCKLQOUpX1Q0fPhwvv/wyDh06hGOPPRYvvvgievXqhVdeeQVDhgzJS5/I4hRAs6aCa8Em2EKKxwK0XDpM10aUdsTjpc8Rvq3BDpjR4vxELW8Ngp3BwyVLBdyWxBRw1/XTBckvs/cbURJ0x4oSJZZiNSk5oSe5EimierokyFGceqNGes8orlMrLQ7IWq7zOS6r3w2e/e+N+N3TxfhKMOI0fZlMAAAaU3Goii44TTt9F53ArTIdzHEs5wp083OzHvM8y0FEeQai/C5Edeb2q2ONRcSWyl1Rxa3zeKS6kP8niNwwePBgrFy5Mt/dsKGJE0EQBEEUOEerVFeI0MQpgCZNhaZFW46d9dtgLp9iwQFYJKM3bS6/bWWKwgMsTi1xDpdyW2VmfWozApzBxetpEWiVE524mWGJiupY7LVsiTnxhHKzTbG+tDzb5bQb+sybjuZRycRxO9OFAunbz81zkk07Ycdk8/2Pcozf/XWX6ZyhWVNtx+ZmTUUCjrO04Tgu//egu8IROM7himtBAAv9/ke1Lvv1P1e4LWv+UcrdUcW9117nDClN8+xvFfKwqm7RokVYtWoV3nvvPZSUlGD48OG4++67ccIJJ/jW/6//+i88/PDDWLJkCWbMmGHvb2pqwuzZs/Hb3/4Whw8fxvnnn48HH3wQffr0CTy3oihpV80xxpBKpULrtAY0cSIIgiAIwsPGjRsxZcoUDB06FKlUCnPnzsWoUaOwbds2lJaWSnV///vf47XXXkPv3r097cyYMQPPPfccnnrqKXTr1g2zZs3CxRdfjJqaGqiqv9S5evXqwH5t2bIFS5cuBc9TeAWaOBEEQRBEgZMPqW7NmjXSdnV1NXr27Imamhqcc8459v5PPvkEU6dOxQsvvIBvf/vb0jEHDhzAihUr8Pjjj+OCCy4AADzxxBOoqqrCSy+9hNGjR/uee9y4cZ597733HubMmYPnnnsOV111FRYsWJDZgHJEu5k49evXD7t27ZL23XrrrVKumt27d2PKlClYt24dSkpK8L3vfQ/33nsvEolExudLSnGcglHAwXIo1QWZ4tMl+W0twqKDB/VJYVx2qvR5K8gmPpNbDsj0+CByfT1DncUFOc59XdI5kwe27XYeDohuHi1Rb4TYYRkuzcmVxNZaclxry0GBuC5jpOcwQJL3w+95EqWpFFfQ0Gz8NnKXLGXVAWBLdm7ZXJT1xPhIhuwLzzHpCJPLMiHTRS7cNS6r3B3XigXEeEq1VRynXKyKM4+vr6+XdhcVFaGoqCjt4QcOHAAAdO3a1d6n6zquvvpq/OhHP8LJJ5/sOaampgbJZBKjRo2y9/Xu3RuDBg3Cli1bAidOIv/6179w++23Y+XKlRg9ejTefPNNDBo0KO1xrUW7mTgBwPz583HdddfZ2x07drQ/a5qGb3/72+jRowc2b96Mffv2YeLEieCcY+nSpfnoLkEQBEHkhFxanKqqqqT9t99+O+bNmxd6LOccM2fOxNlnny1NWu6++27EYjFMnz7d97i6ujokEgl06dJF2t+rVy/U1dWFnvPAgQO48847sXTpUpx22mn4y1/+gm9+85uhx7QF7Wri1KlTJ1RUVPiWvfjii9i2bRv27Nlja6z33XcfJk2ahIULF6KsrCyjcyXThCOwEN9AMrE8KYxDc79xgsPPzdDdbiZhATI5Lgp+bXDOXMveg50pM+lTuv663wiB7KwH4n3IRaRnPczi5PosW4pc9UKsC1mFQEgztCgWvbBzRyWqJSnT6OC56k++yKQfURar2M7NkLcBx2JkhZbQIEfNVhiXFw6k+Vd2HJefI50z3++qm5beb6vv7t/V0HP6WJfEfWEWd4tUqo2cw3PInj17pP8To1ibpk6dirfeegubN2+299XU1OCBBx7A3//+94zTn3DOQ4+55557cPfdd6OiogK//e1vfaW7fNGuJk533303FixYgKqqKlx++eX40Y9+ZMtwr7zyCgYNGiQ5po0ePRpNTU2oqanByJEjfdtsampCU1OTve02YRIEQRBE3tG58dfSNgCUlZVlZEyYNm0ann32WWzatElaCffXv/4Ve/fuxTHHHGPv0zQNs2bNwv3334+dO3eioqICzc3N2L9/v2R12rt3L4YPHx54zh//+McoKSnBcccdh5UrVwbGcVq1alXkceSKdjNxuummm3DGGWegS5cu+Nvf/oY5c+Zgx44d+NWvfgXAMAf26tVLOqZLly5IJBKh5sBFixbhjjvuaNW+EwRBEESLyKGPU+TqnGPatGlYvXo1NmzYgP79+0vlV199te3wbTF69GhcffXVuOaaawAAQ4YMQTwex9q1azF+/HgAQG1tLd555x3cc889geeeMGFC3pL4piOvE6d58+alnbS8/vrrOPPMM3HzzTfb+0455RR06dIF//mf/4m7774b3bp1AwDfi5zOHDhnzhzMnDnT3q6vr0dVVRU0XQG09FGU093XIJO6W35TmCHT+cl9mchHCrgncnM2ZCx5Cef0kyDF9qLGAApKIiyWBXYny2sQdA8sojnw+p9bE+I6WcZ9FiBrpouDFfRMpHM4DyJdslUJn/hUaduPEIMryr5sZbVcRNYvFEQn76DyoG23jJeIGTFwUqZbguXwndKVwMUE7kS57jK3VMddUp5IUGLhbLC+U9lkQPCX6owxWmWM+f+2ai1MPFzITJkyBU8++ST+8Ic/oFOnTrYRory8HCUlJejWrZv9/69FPB5HRUWFHeupvLwckydPxqxZs9CtWzd07doVs2fPxuDBgz2TLpFHH3201cbVUvI6cZo6dSquvPLK0Dr9+vXz3X/WWWcBAD766CN069YNFRUVeO2116Q6+/fvRzKZ9FiiRKKuJiAIgiCIfMGQA+fwDOsvW7YMADBixAhpf3V1NSZNmhS5nSVLliAWi2H8+PF2AMxHH300MIZToZPXiVP37t3RvXv3rI7dunUrAKCyshIAMGzYMCxcuBC1tbX2vhdffBFFRUV5SwRIEARBEDkhD5HDswkwuXPnTs++4uJiLF269IhZ4d4ufJxeeeUVvPrqqxg5ciTKy8vx+uuv4+abb8bYsWNtp7RRo0bhpJNOwtVXX42f//zn+Pe//43Zs2fjuuuuy3hFHWCkIFA1Na0UF4afyViUgUS5g7HgFXrWipcopJOaMiVbyQuQTeKc+5vqgdaPS9WS1Urua6mF1I1C0Pobd4yYoPhgUVfT2fvcMZ5CiLqqrqWEyW8e6SZimh2/mDsihZaUuyWIkq8fYas63dfBTvKsGtewSUgzlVD9n1a/NCV+8hwAj0TnXqnmJ5GJuP/fjvJ7zDOQ9t3ti9KcdZxTJ0CCj+DSQRxZtIuJU1FREZ5++mnccccdaGpqQt++fXHdddfhlltuseuoqornn38eN954I77xjW9IATAJgiAIoj1DSX4Lh3YxcTrjjDPw6quvpq13zDHH4I9//GNOzqnrCpjesjcJ681Pfvu1HA1lSxIDB+fCG5UrKncmDt+5tDgFkYklSnxrsxwp3VHH26LPUfBapp375SYTS2AUJGukcE3Ec1iO926Lg9vZXDwuawfxVrA6ZWJRSuc4nMkz2GKH/xyQy2c8zHk/yBrFOQ+1RmmcGYtiABzSE9B0w3E87rI8+Vmc3NG33XX9LM6W9Un8zgWNi3NmXL+QS2gvvMggvpvfMyb2h4c8j/YxLfx/IjJ5WFVH+EM2RoIgCIIgiIi0C4sTQRAEQRzNMM7BWugc3tLjCQOaOAWg6QzQw+N9WASZ4K34UX5O34Ys58QzUgBoYGCmLVU0t1um58iO6hHSBGRKmGwT9F0UzeOWBGAsDPHKNfmU6sTrGii/cauuSyLjLFJMI797FyQLuo9RFd3TJz9pzuqnmHpCTOMTdo2zWQSQTXqbKHF8whyGs//dD+6re2FGLpGueSvHi3Luu7+jvA75WXU/t4xxW4LQdAUpKz6RZpSlk1mB8BQmfvutWElB5RJpYldpWSQOdz9PbmkuyvOn+fw/0Sro5l9L2yBaDE2cCIIgCKLAIYtT4UATpwAMi1NEFzDLImRuilYlodgsc6xQtsOjWYcxp7LfklqWYQRxi1xEEge8b5jpnXedem7n0KjLjHP1PQ+z1nkiJIeGkfBahdyLtoMsVm6LT5iVR+dMsiBY99M9Dr/wCe6QCfZ5Q96u3WTS13Ski9Tsrmfdcz9LRFSH9aCo1371mBBt32uFEfsc6dSu49vIGgH/3wyR0GdDqAMAMcEhPMUVcMGqkknU/jCLjd/Sf3e9oOdO/O202oraJzdhfXQf5/vctpXFiSgYaOJEEARBEIUOraorGGjiRBAEQRCFTh4ihxP+0MQpAK4zyTwdilmNQ3aiDDAyA4DkFG6XCHKO18ETgc6RftJQkKNkJk7YUc3bbrO6X3yWoHgo6XrTEonII0MElItmfmOf3wIA/3P4Of5b7XmvNQuVDN2/ac4zIB/nPqcsL4ljyX2sqUyJErE5zDk4TDYJIigZq3i8/D1zrq8ldwXJm2H4Ri9v5UsfRZL3iw0H+D8bjptBuBN3ugURYbK+32+Hu07YMc5xmf82pHuGPH1Idzwnqe5ohCZOBEEQBFHgUOTwwoEmTgFwnUV+k5CsCKIzKQu2QLnDEcB0BvZ7K7bqy+eM5vztsXBkaMEJsuz6Ldt1O4Nzn7rg8r50TqDySUPqpMkL6L4OkmUprNk0Vivdx+Lkd850OfDchFr7JKderxVLEawlovVFcVk7xX25JBNHXT9LQpB1MlvH8HR9ML6j5n7rkciFU3crhR+QIsmnudbprF5Bvx3enHJim8E5F73teNv1+wxEc9IOdBaP3B+f40MO9qvvGVNbWZxIqisYKHI4QRAEQRBERMjiRBAEQRAFDtONv5a2QbQcmjgFoGsKoAUb5KT4LvZOQ/5htoMpwCHHarJjPjEO5pILvBG0md2Om2wcflskD0WQVGxpTjekOknqFKU5twk+qgNwlCH7HO4ZNwvY73O8fe19JDnm145wvCQVBvQlirO+r9Oxu38mCvNGCg+ObB9dcsmEMDUgXVycbB3CpTYiOA27v2dhsmpbkMmiDe9ihtCWM+pHkCQmxhVL27+IkbrD5LdAp+xQZ/Kgc/rJc+mvS1RVSw/5fyKnkFRXMJBURxAEQRAEERGyOAXAdQau+ZkvzHJr020hMq1MRhlsK5RV1172bFmXhKXChiOn15Hce55M3zpdnQ8gnTWAu8skZ3DhDVI3yiynSa9zuI+5Tmo82puk57igKr5WKLel0Prs+tc6SYB1ybsttxdkHQqygvmWIdjyYluVzG3Nc85g6xSQW+tKNvkMw545z/PWArw5/YK/Z26LVdvkUXSfM/MWsrmXYeEiouSm8z82vQVJqhdgRQq1PPrVy8TilK5zGdB2zuFocV8pAGZuoIkTQRAEQRQ4lKuucKCJE0EQBEEUOuTjVDDQxCkArivgUpJf/weOs2CzvmEhFp3DRXkNgCvJJpPKPYGbAs+TbbyYKKZyp47g3G0eIx4vO3kz2ayczqzOmRyGyV2GgLIo2374yXHSZy5tc0F+40y4FYzLyqN9jL+zOBAi9UlSnXM+uRN+Y5EdwD1yYIgEyACPI3m2pIu4HFY3ilTje5xAFCfpIPnLT27PlmyvY9RThrUfVUrzIyMH7XQVfY7x+//a/dviqef3XIS1E6E/BrmV1njUZPDEEQNNnAiCIAii0OEAWhpOgAxOOYEmTgRBEARR4JCPU+FAE6cgNGb82UQw7zJurKhzHcZ9pBs75Yd7tZZbshHalk6VTbJea/WbtdpNt+Q1wQwuyGvctc0C5DfvCYOLmLvc1Z50Dr/j3eePsuIuimVekN8AJg1PitnlltEytPqLaiYY7KSyxmehDyz8/nvkQVGyC5Xr5LbC0sRkQtQVUH71nZ3uOpl1JiOZLKTpFmVbSdOHsJha0Y5za78R+wWktTYExUUyZHgGblo77ATo1moy5rTNYjqYwiPLscH9SlMn9Huf+erOMNI+D36rr4kjGpo4EQRBEEShw5ED5/Cc9OSohyZOQaSY8ZcRzPuy40om68RxguSELDkZO3vEpp2PftYH9xud21EbMOJS6QzMekPS4HwGwHQW7JRsWoICnbgli4lrLH5v2e7YTjx9VdEaxTQGJQXoqnhO2WFeTC/AFaecW8O0rFy62HejkFv+nkzuKrPqWP22d0Le5x6L3w9WkGHGskYpwdYoyeIk9JcLzxQTLVpCu5Gd19P0V+68azMjR+IM6oYaOvP0v0Ikp/Pguple80ALSBSLW1RrjNsyrTPgsPFlYxoDVG78AUDcSZIMTQHX4FngkfZ8vhWi9z2qsbFVbEMZ/z+RJbSqrmCg5QAEQRAEQRARIYsTQRAEQRQ6OlpuMqMkvzmBJk5BuKW6TEzBzLUnyMfc5bgLBFijXXZoTx2XWVxysNaZ/WVRdAaWYlAPGw2oTYDS7ByqlQBcNc3zChy5yjyH23HbcdQ2/2y5yDxWsaQx5v3CWyqUKQcwzXeo0niZsBxXSRkSmyJJVswej9Is95/HAK1IcGYFoCSNf2OHAC1hXoNigMccyZWr1j0VOmb1mRv95qpTxHSnXQgqrSUP2u0q8Eis1imcczO7D45sx5xj7XFzSeZLJ+s5J/Q+S9x9A9yO5VkQWR3IVEXw9CdiB1uqVkR0LJdOE3Jduc8+L8HHy+ePPjjfVEjC74aVcoo1KVAbmf2cc5XL3UkJsdY05r2+QemCQjsXcV8mx0c6cRa0kVRHq+oKB5o4EQRBEEShQz5OBQNNnAJQUgxKMsKbRCZLpn2iijtlplUi5FDpVAGO0ExjYILTt5KC8/bFgVgjoDQZm2qzYR2xLDNaM2yLjh6XLSl2HwSnaXdYAau+daxlMRE96SyLjNVfpdn4zFJCuWV90kzLkl0mLKN3Wb8AQI8xKCluj9uxiHFwhUGPOfV4DIJDtXmdYFqLxBdxxTiPZRlTUo51zOqn1S4YAB1Qk07/mcad/kLuM1cBXbhGWtxsL2E4vXNrOwZwxbEEesJdCBY9LliYuCJbnOwy0SIFoUzEbY1yW0fTPfZuh3o3ufj9zuRFvzX+v4hy/izDCIT+rKSxXkW1DHrCjejCiTVAbTK+ILEGBq1E+O6Zv4085iy2yAduC22+YG3lHE4UDDRxIgiCIIhChyxOBQOtqiMIgiCIQseaOLX0LwMWLVqEoUOHolOnTujZsycuvfRSvP/++1KdefPmYeDAgSgtLUWXLl1wwQUX4LXXXpPqNDU1Ydq0aejevTtKS0sxduxY/POf/2zxJckXZHEKgCUZmJqhCVaQdOTGBCdpa5cpmYhOvZISIsZCYaY52HK2VsydwjlVU36LNRgSnCh9WSZtXTXK1GZjh9psSEncJaVZ59RV5o1nJDg3WzKTHjedyU2pTisynax1b7tKExA3+2iNU0lxWypjGrf7a5VZcpeiAcyU4pjuclAVLol1XUQMZ3ezgjkuu/+mdGfUM8qkmEpclA+Fvuo+P0Lc2S/21/ODZTp585hxIi3ObOd1rjCkihl002FdV41rDPhIqGb/bNlRgeCkbzxUQTGpwJg8zpD4VRAd/IV4WBnjd0zYfSxw0l+DIC/u8P/Awv3e3T8WmbUNQJDmzEN0BqXZaYgrsiTNGpzviB4zjpMkqiDZ10cCzhpxWCFScNp7kmkf/BbEiPujuHS0UzZu3IgpU6Zg6NChSKVSmDt3LkaNGoVt27ahtLQUAHD88cfjF7/4BQYMGIDDhw9jyZIlGDVqFD766CP06NEDADBjxgw899xzeOqpp9CtWzfMmjULF198MWpqaqCqalgXChKaOBEEQRBEoZOHcARr1qyRtqurq9GzZ0/U1NTgnHPOAQB873vfk+osXrwYK1aswFtvvYXzzz8fBw4cwIoVK/D444/jggsuAAA88cQTqKqqwksvvYTRo0dnP548QROnAJRGBlWI+O3G763GWi7vDb4d0I7L4mRHtIbpWGw95NwIHWBbs8Rl7irAkobTNwCojUCsiUNJmlaPpMupWgcUy2E5yaFo3Cl3fam4ymwHbz1ufNZNC0mqmIGXOH1Xk4BuHq8VAephl5O36TCtNhn9UxstJ25uWJUES5Lj6M7NbbMspTt91cyluRFNz1xRHEuMogAKE0IvMNvywxXTCuP2sOVW/0SHbw54HNYdCxnTOaCF9E9ljtN3TIEeU8zPDHpCsa+1aI3SEoaFTAz9YPTb6UOqyPisJ2BYDuNCHZdVzl5ibo45yMIohTwwLR7ipnSp/H7cc2WdinxsC3w5MjClZdzFIGfxqOdPF5oEiOYdzt3WEwbosBfE6HFuf1aagdhhZ/FCsszsvvh7IZ5TdFZn3n2hfc+EAEtbRhaoEAuonV3AbSx2/UZrjW1jcSqEcAQHDhwAAHTt2tW3vLm5GQ8//DDKy8tx6qmnAgBqamqQTCYxatQou17v3r0xaNAgbNmyhSZOBEEQBEEUNvX19dJ2UVERioqKQo/hnGPmzJk4++yzMWjQIKnsj3/8I6688kocOnQIlZWVWLt2Lbp37w4AqKurQyKRQJcuXaRjevXqhbq6uhyMpu0h53CCIAiCKHRy6BxeVVWF8vJy+2/RokVpTz916lS89dZb+O1vf+spGzlyJN58801s2bIFY8aMwfjx47F37940w+Fg2UbVzTNkcQpASZkylxlLyDJLW/GUJHOt5f9rHWw9C6akZjvuqq4yQXKz9tnylhDbyIodpArymyJIQGK8ICVlyHSOQ7UgHWncK3dpml3OmSMBQVEM+ShhaDl6TIGeUMASlqSl2PGLLClSN6U7pdmQDmONTn8dh3QOpVkXpEQdTNOFPurOtdZ1o4+WBqg79WDJZFzYFv91O24rDFAsPYsBquLEmWJOGVeZ6Qgd8IUW5UHdkut0udx+VsLN4lyV++REClcNGU91+mTJeHrckPGkCO8uJ25L1msqNx2A7etpyIfWsVoCSJaaQ0lAjm2lwEwS7LRrP7ppHH69js3B1yGnjrxuB+qohN2mlikbDsJ19D2HKJ1F0ZaiOGOzNOXccQAHk2+TkhLiNCkMHI47ABQg1UF2JRDbl5Jip7kNkeW6CPIvd5/Mx0PCfT5PSCzduSbMlazYGq8kZyvI3TOSDt2tr2bZBoA9e/agrKzM3p3O2jRt2jQ8++yz2LRpE/r06eMpLy0txXHHHYfjjjsOZ511Fr761a9ixYoVmDNnDioqKtDc3Iz9+/dLVqe9e/di+PDhLRtPniCLE0EQBEEcRZSVlUl/QRMnzjmmTp2KVatWYd26dejfv3+k9jnnaGoylnoPGTIE8Xgca9eutctra2vxzjvvtNuJE1mcAiitBdQEoCQ51CSgNDsWHMnipENyHDYccE1rgOlcazn5GjnHmFmXQ2nmtoXJqiu+4VvtKprpNG1FxU5yKCnLCsMlh2pjW7bMsJRjsZEtOGYda5m+ogBCfjTpddHMXWeNRY/BfpVTUhx6zAmJwFKGdcyyOKlN3LY4KU06lKTxZ9TVwJKO1Qua5rI46Y5FR+ewYxxwbpSJlia35UdEGosCKAqYKligmPGZKS5rU4CTuHNOoU9hMEVIrGe0y5JC+4wZ54bpvC5YozhjUF2WQMsaZTiKM/ttm6sMetz4HDusSNHUmcahJRRo5m8k05znMaUAmhDKwHaQhbMt5QzMCNGT3FMSSEbOw7m0+AuWX6kfGZ7DY+mRHOyd66gkDQdkJlgG05/TW+A+xloMIN43u47C7ZyL9jYXFgcAdrgBj1XGWuwhOlG7++G2dgXd/5BrmrFTdxpLKGD0leneffY1EsrUJtOab1r+1aRh/det1fPM+J3UmkL6mUvyEABzypQpePLJJ/GHP/wBnTp1sn2SysvLUVJSgoaGBixcuBBjx45FZWUl9u3bhwcffBD//Oc/cfnll9t1J0+ejFmzZqFbt27o2rUrZs+ejcGDB9ur7NobNHEiCIIgiIInBxOnDHXFZcuWAQBGjBgh7a+ursakSZOgqiree+89rFy5Ep9//jm6deuGoUOH4q9//StOPvlku/6SJUsQi8Uwfvx4HD58GOeffz4effTRdhnDCaCJE0EQBEEUPnmwOPE09YuLi7Fq1aq07RQXF2Pp0qVYunRpRucvVNrFxGnDhg0YOXKkb9nf/vY3DB06FAB8PfSXLVuGG264IeNzFu/TEItrhnO1GL066YotpIkOyrJDcGD8Jquu29lZdBBWHJu53aYdH0iXP+u67JAsxhcSJSw/h2nGYOkzjHFwsbMKJEdo43zOv7YTJTOkOTH+kpKCk3C3SYfaZBQqKR0sqUNpNuzfLKUDSQ0sZWmWQn81TZbqxDLXODnXZWdxkSA9QJDOmCnVSXKadWyYo7gfblkwqC2pnlPGmAKoirDNYGl1PKaAJR3ncKaq4DFHBtRjDMzUW6zrnyoxtps7qUiWMmhWRPK4EJE8BvN+m12zPlpDFJ2H3ZfDfRly5CzL/M7lW8lLVJnPL1GsvSAEjpO8XWbJ8X5tiUqxK86WIdW5IrVb19pKSG1F1xeckq1FImJEf3thidyMebDr3EIEcK7AiUYfk3+bmCbLhUrKWORhfQaHLeNaibqD8DhjBzinp1tkEHrvfeRAqbrg+C5KiVa0dDF+GRN8ro2FNsZnNWnIddZ1UJOGy4E0ds6RSgq6LnFU0C4mTsOHD0dtba207yc/+QleeuklnHnmmdL+6upqjBkzxt4uLy9vkz4SBEEQRKuhCzPmFrVBtJR2MXFKJBKoqKiwt5PJJJ599llMnTrVY2Xq3LmzVDdbig4kEYup5tudbGHyWzJvfxYdlK3l6hbiZ8s6konp1H08YDgmi07SVr2o1hCFATHnMWBivaTjK2xYkZzo1rFDzM71ZjmUW32ylr3bDuCa46DOkrrhDJ4SLU4pZzy6JnzWgVTKGB8Eq5I1Rh9ncC7uS4doHRT3iz8uLmdx5rYgAXKYA48Vy0r4xeRj3J8BwNL7GQNSQluKCuimVRAx8LjjzM7jRsgIPW46ixcp0MyQEakSBVoCaO5oWqMScq47T04+QAqt4X6DlzbdhrmwxzhXv9WhnuRyPcnIIVgR3ChJrwVJzOHm6YJo7bHqWNdMsPZY1jtxWzqPYOWADsnapyQh5G501eWytdeI/C/3McghmyvMDiFiWxiF/khWMN2xPumq8cxYxzJu5Jz0s9ZZliDJCsR86sB5/IPCJYhfD4/ju+sQ7uq7kTFBOF6MkK8IljXT+du63mqzsZjF+qwkhSwMVu5MKcsBh2r+lrU6XEekhSjp2iBaTLsMR/Dss8/i888/x6RJkzxlU6dORffu3TF06FAsX74cepr/SJuamlBfXy/9EQRBEARB+NEuLE5uVqxYgdGjR6Oqqkrav2DBApx//vkoKSnBX/7yF8yaNQuff/45brvttsC2Fi1ahDvuuKO1u0wQBEEQ2ZMH53DCn7xOnObNm5d20vL6669Lfkz//Oc/8cILL+CZZ57x1BUnSKeddhoAYP78+aETpzlz5mDmzJn2dn19Paqqqgx5iXHb+duTXNZ2uIYU2VqS58IkNJ3LspQ78rX42W01860jyE6iOdbHIVxyhFYUwHLMVhTbCZklY2Ax1XFSN+MK2Q7vQrwqw+mVeWVJMcK2GP07pTvn1HTjOmjiNXQ+c024RppmbAeMW75G7mAtPsZVoQ4X2xGPFeM7wVQDxOvHmOHEDsNRW/Qm5tAcuU2zpDuXDGifx2kHijtst4CiAzFhLD4O21ZsJi0OpEqY7RCsJRzJAjDlGJfm4etoC3gSBPvJKL5ynUvO8m1c3Hb1ySM7CTKZeHms6PrWZ87kbVF6EqU4Iy4bc6R46/zidRU+e2IUMQgxtBw5jnFT4hKiTLujdofJgWJUbrG/zPx9kcYiNuvnxG/fAw7F3GklqPUsZrHGJjxiCgBocOK0CVKhGys7ghiBnisuqcx1/YKcx6Xn0ZKVBad48dlSxPtrSrNuKRVw7q17kYslx6lJCFkYTBcFO5I4l39vLIf+tlK/yMepYMjrxGnq1Km48sorQ+v069dP2q6urka3bt0wduzYtO2fddZZqK+vx6effopevXr51omS3JAgCIIgCALI88Spe/fudgblKHDOUV1djQkTJiAej6etv3XrVhQXF6Nz584t6CVBEARB5BmS6gqGduXjtG7dOuzYsQOTJ0/2lD333HOoq6vDsGHDUFJSgvXr12Pu3Lm4/vrrs7MoCdmkmTs+UMjDx9wPt3tbXA3nTlIr1XOnE+H+EpyfnOfqn2elmbQKTJDnVNUpU1OutCSKKfP5yEdu2UxMi+LXX0nG0x1JzqonlnHu9F8Tx6hL8hpTmCy3if0wDpbL/KS7kDKrbeaO88S5cd388IsTJZaFrbALactIN2P2J6UbTdlSk5PWQ00oplwhyDMcdgoJEVu6EC+h8FkrdlJNcFWWXILilMknEIoU//0AoB52rYYSziGtWnMfz4WVaLqRQURObuwv1QH+K9Ps5kWZzCUP2v0yL5ooZ3JmPit+K8Pgf51lqdtVL2xbvE8lQtoUbsl+3Nm2PlvSuus6eMYeFWvcKUgSG1eYLNWJcaYsWc/Vhtim3Y6Z4kmS4wLurzNuYduuy32kT1d5Sq5rf7e4Je2Z25oc06/V4cjBxCknPTnqaVcTpxUrVmD48OE48cQTPWXxeBwPPvggZs6cCV3XMWDAAMyfPx9TpkzJQ08JgiAIgjgSaVcTpyeffDKwbMyYMVLgy5YivcEAcmRu93bYW4CQrNeTpNYPd2Rs8zgphpF4vNsqI0YNt+vKr47OG54iWz4ki5NiWEn84g/54bIueaxjtsO8ZvQ1wErl56TtsST5nV6TrU6+FigBpgSZGBSvVSngOjDRcgc4Tt1WImfmWPM8MZ+sfX5WJ+ueWFaqmCpFDuexGHjceIXncQV6kQot4cRxShUJCYDhxKVhmmkBsWPYcM9bu/MmzmWriE+UjsDo3GKEbABgjrVKjzHJQV16A7YcgH0clP0Iiv9jWypiwim4YK0RrU+ceS0QumOJ8cRtEtuxLBDWeTW4nNl9nj9hl8eZPoI1wW1hYroTIV5XDetOcyfHw9+wMnqDH1ljlpKVC/96HarDf+O48PXgYrJonQNgQmRulzVcEZ4H4dl0Wxh5DJLju9vJnKsAs9qxLUPGpiLdF6MRj8XPStSuORYmRTOtSpKFSbA4ZROLryWQVFcwtKuJE0EQBEEcleg5WMKXSYBgIhCaOBEEQRBEoUMWp4KBJk5BBDmGW2UigtzCRX9QBWY6BSG4i2Uz1k17shjzCUJd8c1AyNxhnz/ozcGUAwPjEklYAUqsuESC1zBTjHhALolOSjmSBl/50OqbWz50O5ZnClPAdS7JbL6Sm++hTK7jjq8EH1kOcKQ5e5vJ8qaiyGlUAFm6E6U8Vx2uKHYqG66qduwmPa5CTyjgqrXNzG2jrpZgtlSTKmam3GA275Zh3I+18OxyhRlZOCRJw9kQE6OKMpdvwxAVSm6EuhIfTytGliXzCBKMJTda8o8ohUlhkVxSHQNcspkLUb0SUnAYaWiYcK24fL1Eqcwlm3mlMB58jUKkMLcTul98LFt9U5mdYgfMkJeK6k3pLmbId554Ttb4pXvgck1g8nZYH5jOnXO4JX0my76edDaM26lcRGmWMyY5dUMzxiNKghaKbv50uRc42BIrl66/JcFZ26I8JzqDG+lYhHRbuhXXz2q/jZ3DiYKBJk4EQRAEUeiQxalgoIlTAPabBOdyNHD3Un/G5BdaVaiiMzAmPOyi9cp6rRTfVqRy0alcN5NlcrMLuvPKZVqfLIuI4QhrnhcwLTimI7HL0mNbaCwnbGnFvv/yfb+vnduyE8WZ2239cZy1A5b2B7SdtVUJkC1LdpmPhc0K2+Cu47YwWc7eonVKtDSJDt+q4iRZBiQLExTFdAK3HMINKxMA6HEFekKxLTGW07V1u7UiJllpNAWAGTlccYch4Ex+Oxfe8K23dMkRWnAy9jpNC1YHPydk4XFiGlzmIm5fLs5lR2PpbV5Ynm595va1d1mYhPZ9LU9c2CdYeJirLS5cI+ery+02/JzH7TJd+A6bjtqi8714jTxWJ7iwopMzV7nGjfPAtNiIUcU145FyQgM4Vh2P4z13XQfusgApjhUuLOGuE01d2KcCOnN33LRw6kbiaffAbcuUYClSRYO4YEWyrKpi2ACxY55FDz4hBsQE5fbzaP3uC6EKZCui1RbaBoocXjC0yyS/BEEQBEEQ+YAsTgRBEARR4HCuy2FesmyDaDk0cQpAaUxBUZOOriwmrA2KIu5nBk3nWG6fUIXkLO6W7RTFdghnXJHqcU1zzMuqKkcdB2wnbWY5aZtfHqamkdXEL5n1OSSqdhQ80ppNuERnnYcFVPNtNyw6uMvx3df5267rkukCx+A+v9e53hMPSkyabMmtKgNXFDvBMhdyAzOdQ2nWAc10Wo8z6KojzzGNI3bYqKs2GdKdZkp13HSu1oVvfVA4K7cO446g7Y1nxGQ5RCqD7Fwsqm/iV8ktAQVJbmIvzeecQ5DM3Y+j+ziXI7m//hx8Xi5cGzEyNxeviX1dBUldkaObB0lLnq5wp9BPduS25zXz1OGMS/vFmElceI7DHOmt48Ro4KIcp2jcef7s+FCC3KUBinWfFMfhH4opNQvynNJs1FOSRnwqJWmVcY8sKkVE5xAWoMjSp3ycj4O3WFeQ6uxxSL/xolRrlCla0nvRWgO/GH3ZtEG0GJLqCIIgCIIgIkIWpwDYoUYwhTuzfMn6ksbKZGG90Yl13NYKT5TvAGuW1DlxLS5MM4J4Xsc6BUAKIcCZDnu+zF0WHM9YQqxAfibfMAtPVEJMyRlblUT8jvWzyvmFW9B1x+rEOTyv5dZ1U4T6gHyfdBieunauMA6PNcq2IjIwaI41RWfgqvlZY+AKg2KOR08pUBTY4QisfwHD+qQVKdCKHQuJkuRo7uREFteKzSImO7la+cW44HzueRoV4ViPh7D12fTVFpfhu6xVdn99fF+90bVd2yHGv+DI5sFt+i27F+t5rBfuHGmunGhyZHbuKQdg/r64r6HXWhI0FjEqtttKB4U5FinAcfhmDFwR9jPheKtdxfms604OPD3Grd12H+OHzH2aYSWSrGnCV4a7+mPXcV0TppmWIM1pR47o7kT0tiJ/u522PZYjq0wTrEiC87fVrlQm/qu7ynXL4tSENoGnexiitkG0FJo4EQRBEESho+dgCR/5OOUEkuoIgiAIgiAiQhanIJqaDXnHL+hYVHOnKxQSmEtS80OSAfXgMsFczJgCLnr5itHKRXTdcB73aw+WjBfSH4n0ztxZOTLmQu7zQ+eRnLq5T0R25pI+nQImXXcW5ZrYJ+KynCrqXaoZp8u8H4wxR4JjTIr5pChmmeUArDAnErfKwDQNapPljMsAjUM1HXB107HcQk26nnXGoMXNtoRfCq4waHHHyVdJcTlGFAO0uFNXlH30mNGWpsj1nevgEiMCbpnHQR2QD/SRAP3qGk7FglwkRJQGjBhBHodku67spCw5fAuxgazzSVKUGB+Iuwct9N2KHSRGMocgzSrOYgU9pkjqL2cw4jy5MhvYg/E4h7t1UnkzSPr0xLJyJ0mWGvGR6QT5zUZ3XRc/J25bDuThkpvGPQ7doYt99IC6sMbmctvQm/0vTK4hqa5goIkTQRAEQRQ4XNf9X24zaYOkupxAE6cgNB12KO2oGaXTzeb9lroHHS9GDvcrF95mPV8GRfAQFd96VR+LiBit2K/cPl+aa+A3drM5PytO6LVqrei2YU766RBDQ1jjURTjjTXIiqdpchRxzgVThjssgRNFnFn7hZAFdm/NMAqiBUqsK1qf7Hr2cnRrP5y6UXFbLSTThttSIVu9jPxzwvEK7EjoxlJ3wXLVpNtWCj0hWLxcfbWch5WU6AAsVNC45KDssZbYFjrIz4LZrn1sSrRWQHZCdo1fcki2+yQ7IfuGMmHyGHm6fJBMtoxZTt6qFv69kfP5pf8tCnO2BlxjSYdfXdHiFlTPve22KgXVlb6HPNyq5Pcv4FiXghYD2ZauNpqMkMWpYCAfJ4IgCIIgiIiQxYkgCIIgCh3dbVbNArI45QSaOEUhyDnYIurD2FLTttQnR4pjgkO1v2wHu66HqPJhOvkg5PowVc1o7JF1/Jb8CPhFDfcps/EbvyWxaKaka2oh4v2QQnO725XicfkkERbLpbqCdOdOSiydO+B8fuMLinAeUM6l/qTvt10/nY3bfevVkD77LdwQ2mixlBRUFlTXb/1AhD5Y18b3mxh0vcKk0qhE7a9HLsvRf76Z9juTexTUR/fvoxiTKeo58zX54BzpVxdFaYNoKSTVEQRBEARBRIQsTkHoOqTZfVvP1H3fpIP7ELpaIjQfXY7Glc4iJZLGmTLUST3bc2ZLOoucD9K90KxmhIRzvgixKzJxXI/Sv0zGEPGasrA2fcpYmnK5D5lf84xprQUIFlGi/lu7WtJeW5Hv82dCLvsaxfFbd8edaR24zj1R1zNuoz3dxwKGJk4EQRAEUehw18t81m0QLYWkOoIgCIIgiIiQxSkIv6ixrUGOJAPmirgtyUWh0kcbyCJu1KNvvp5R4LkcWf7dz0TOTt4WUlouyUJuJYjItJH8RVJd4UATJ4IgCIIodEiqKxho4uTCmpGnrPxD7cTi5IZC6xPZWZwitdxK7bYSZHEiWhHr/4rWtuakkGxx4PAUkrnpzFEOTZxc7Nu3DwCwYd/jee4JQRAE0V44ePAgysvLc95uIpFARUUFNtf9KSftVVRUIJFI5KStoxXGSfSU+OKLL9ClSxfs3r27Vb4E+aa+vh5VVVXYs2cPysrK8t2dnEJja5/Q2NonNDYDzjkOHjyI3r17Q2mlECmNjY1obm7OSVuJRALFxcU5aetohSxOLqwHv7y8/Ij7MRApKys7YsdHY2uf0NjaJzQ2tPpLdnFxMU12Coijb3kTQRAEQRBEltDEiSAIgiAIIiI0cXJRVFSE22+/HUVFRfnuSqtwJI+PxtY+obG1T2hsxNEKOYcTBEEQBEFEhCxOBEEQBEEQEaGJE0EQBEEQRERo4kQQBEEQBBERmjgRBEEQBEFEhCZOLh588EH0798fxcXFGDJkCP7617/mu0sZM2/ePDDGpL+Kigq7nHOOefPmoXfv3igpKcGIESPw7rvv5rHHwWzatAmXXHIJevfuDcYYfv/730vlUcbS1NSEadOmoXv37igtLcXYsWPxz3/+sw1H4U+6sU2aNMlzH8866yypTqGObdGiRRg6dCg6deqEnj174tJLL8X7778v1Wmv9y7K2NrrvVu2bBlOOeUUO/DjsGHD8Oc//9kub6/3DEg/tvZ6z4i2hyZOAk8//TRmzJiBuXPnYuvWrfjmN7+Jiy66CLt378531zLm5JNPRm1trf339ttv22X33HMPFi9ejF/84hd4/fXXUVFRgQsvvBAHDx7MY4/9aWhowKmnnopf/OIXvuVRxjJjxgysXr0aTz31FDZv3owvv/wSF198MTRNa6th+JJubAAwZswY6T7+6U9yvqpCHdvGjRsxZcoUvPrqq1i7di1SqRRGjRqFhoYGu057wDplNgAAEsJJREFUvXdRxga0z3vXp08f3HXXXXjjjTfwxhtv4LzzzsO4cePsyVF7vWdA+rEB7fOeEXmAEzZf+9rX+A033CDtGzhwIP/xj3+cpx5lx+23385PPfVU3zJd13lFRQW/66677H2NjY28vLycL1++vI16mB0A+OrVq+3tKGP54osveDwe50899ZRd55NPPuGKovA1a9a0Wd/T4R4b55xPnDiRjxs3LvCY9jI2zjnfu3cvB8A3btzIOT+y7p17bJwfWfeuS5cu/Fe/+tURdc8srLFxfmTdM6J1IYuTSXNzM2pqajBq1Chp/6hRo7Bly5Y89Sp7PvzwQ/Tu3Rv9+/fHlVdeiY8//hgAsGPHDtTV1UnjLCoqwrnnntvuxhllLDU1NUgmk1Kd3r17Y9CgQe1ivBs2bEDPnj1x/PHH47rrrsPevXvtsvY0tgMHDgAAunbtCuDIunfusVm093unaRqeeuopNDQ0YNiwYUfUPXOPzaK93zOibaAkvyaff/45NE1Dr169pP29evVCXV1dnnqVHV//+tfx2GOP4fjjj8enn36Kn/3sZxg+fDjeffddeyx+49y1a1c+ups1UcZSV1eHRCKBLl26eOoU+n296KKLcPnll6Nv377YsWMHfvKTn+C8885DTU0NioqK2s3YOOeYOXMmzj77bAwaNAjAkXPv/MYGtO979/bbb2PYsGFobGxEx44dsXr1apx00kn25KA937OgsQHt+54RbQtNnFwwxqRtzrlnX6Fz0UUX2Z8HDx6MYcOG4dhjj8XKlSttZ8cjYZwW2YylPYz3iiuusD8PGjQIZ555Jvr27Yvnn38el112WeBxhTa2qVOn4q233sLmzZs9Ze393gWNrT3fuxNOOAFvvvkmvvjiC/zud7/DxIkTsXHjRru8Pd+zoLGddNJJ7fqeEW0LSXUm3bt3h6qqnjeHvXv3et6w2hulpaUYPHgwPvzwQ3t13ZEwzihjqaioQHNzM/bv3x9Yp71QWVmJvn374sMPPwTQPsY2bdo0PPvss1i/fj369Olj7z8S7l3Q2PxoT/cukUjguOOOw5lnnolFixbh1FNPxQMPPHBE3LOgsfnRnu4Z0bbQxMkkkUhgyJAhWLt2rbR/7dq1GD58eJ56lRuampqwfft2VFZWon///qioqJDG2dzcjI0bN7a7cUYZy5AhQxCPx6U6tbW1eOedd9rdePft24c9e/agsrISQGGPjXOOqVOnYtWqVVi3bh369+8vlbfne5dubH60p3vnhnOOpqamdn3PgrDG5kd7vmdEK9Pm7ugFzFNPPcXj8ThfsWIF37ZtG58xYwYvLS3lO3fuzHfXMmLWrFl8w4YN/OOPP+avvvoqv/jii3mnTp3scdx11128vLycr1q1ir/99tv8u9/9Lq+srOT19fV57rmXgwcP8q1bt/KtW7dyAHzx4sV869atfNeuXZzzaGO54YYbeJ8+ffhLL73E//73v/PzzjuPn3rqqTyVSuVrWJzz8LEdPHiQz5o1i2/ZsoXv2LGDr1+/ng8bNox/5StfaRdj++EPf8jLy8v5hg0beG1trf136NAhu057vXfpxtae792cOXP4pk2b+I4dO/hbb73F/9//+39cURT+4osvcs7b7z3jPHxs7fmeEW0PTZxc/PKXv+R9+/bliUSCn3HGGdIS4/bCFVdcwSsrK3k8Hue9e/fml112GX/33Xftcl3X+e23384rKip4UVERP+ecc/jbb7+dxx4Hs379eg7A8zdx4kTOebSxHD58mE+dOpV37dqVl5SU8Isvvpjv3r07D6ORCRvboUOH+KhRo3iPHj14PB7nxxxzDJ84caKn34U6Nr9xAeDV1dV2nfZ679KNrT3fu2uvvdb+/evRowc///zz7UkT5+33nnEePrb2fM+Itodxznnb2bcIgiAIgiDaL+TjRBAEQRAEERGaOBEEQRAEQUSEJk4EQRAEQRARoYkTQRAEQRBERGjiRBAEQRAEERGaOBEEQRAEQUSEJk4EQRAEQRARoYkTccQxYsQIzJgx44g676RJk3DppZe2qI1+/fqBMQbGGL744ovAeo8++ig6d+7conMRwUyaNMm+D7///e/z3R2CIDKEJk4EkSNWrVqFBQsW2Nv9+vXD/fffn78O+TB//nzU1taivLw831054tmwYYPvJPWBBx5AbW1tfjpFEESLieW7AwRxpNC1a9d8dyEtnTp1srPc55tkMol4PJ7vbrQ55eXlNHEliHYMWZyII579+/djwoQJ6NKlCzp06ICLLroIH374oV1uSVMvvPACTjzxRHTs2BFjxoyRrAKpVArTp09H586d0a1bN9x6662YOHGiJJ+JUt2IESOwa9cu3HzzzbYsAwDz5s3DaaedJvXv/vvvR79+/extTdMwc+ZM+1y33HIL3JmROOe45557MGDAAJSUlODUU0/F//7v/2Z1fR599FEcc8wx6NChA77zne9g3759njrPPfcchgwZguLiYgwYMAB33HEHUqmUXf7ee+/h7LPPRnFxMU466SS89NJLkhS1c+dOMMbwzDPPYMSIESguLsYTTzwBAKiursaJJ56I4uJiDBw4EA8++KB07k8++QRXXHEFunTpgm7dumHcuHHYuXOnXb5hwwZ87WtfQ2lpKTp37oxvfOMb2LVrV6SxpxvX4sWLMXjwYJSWlqKqqgo33ngjvvzyS7t8165duOSSS9ClSxeUlpbi5JNPxp/+9Cfs3LkTI0eOBAB06dIFjDFMmjQpUp8IgihsaOJEHPFMmjQJb7zxBp599lm88sor4JzjW9/6FpLJpF3n0KFDuPfee/H4449j06ZN2L17N2bPnm2X33333fjNb36D6upqvPzyy6ivrw/1T1m1ahX69OljS2OZSDP33Xcffv3rX2PFihXYvHkz/v3vf2P16tVSndtuuw3V1dVYtmwZ3n33Xdx88834/ve/j40bN0a/MABee+01XHvttbjxxhvx5ptvYuTIkfjZz34m1XnhhRfw/e9/H9OnT8e2bdvw0EMP4dFHH8XChQsBALqu49JLL0WHDh3w2muv4eGHH8bcuXN9z3frrbdi+vTp2L59O0aPHo1HHnkEc+fOxcKFC7F9+3bceeed+MlPfoKVK1cCMO7LyJEj0bFjR2zatAmbN2+2J7bNzc1IpVK49NJLce655+Ktt97CK6+8guuvv96eqIaRblwAoCgK/vu//xvvvPMOVq5ciXXr1uGWW26xy6dMmYKmpiZs2rQJb7/9Nu6++2507NgRVVVV+N3vfgcAeP/991FbW4sHHnggo3tDEESBktcUwwTRCpx77rn8pptu4pxz/sEHH3AA/OWXX7bLP//8c15SUsKfeeYZzjnn1dXVHAD/6KOP7Dq//OUvea9eveztXr168Z///Of2diqV4scccwwfN26c73k557xv3758yZIlUt9uv/12fuqpp0r7lixZwvv27WtvV1ZW8rvuusveTiaTvE+fPva5vvzyS15cXMy3bNkitTN58mT+3e9+N/C6+PXnu9/9Lh8zZoy074orruDl5eX29je/+U1+5513SnUef/xxXllZyTnn/M9//jOPxWK8trbWLl+7di0HwFevXs0553zHjh0cAL///vuldqqqqviTTz4p7VuwYAEfNmwY55zzFStW8BNOOIHrum6XNzU18ZKSEv7CCy/wffv2cQB8w4YNgeMOIt24/HjmmWd4t27d7O3BgwfzefPm+dZdv349B8D379/vWy5eH4Ig2g/k40Qc0Wzfvh2xWAxf//rX7X3dunXDCSecgO3bt9v7OnTogGOPPdberqysxN69ewEABw4cwKeffoqvfe1rdrmqqhgyZAh0Xc9pfw8cOIDa2loMGzbM3heLxXDmmWfact22bdvQ2NiICy+8UDq2ubkZp59+ekbn2759O77zne9I+4YNG4Y1a9bY2zU1NXj99dclS4ymaWhsbMShQ4fw/vvvo6qqSvKdEq+VyJlnnml//uyzz7Bnzx5MnjwZ1113nb0/lUrZPkA1NTX46KOP0KlTJ6mdxsZG/OMf/8CoUaMwadIkjB49GhdeeCEuuOACjB8/HpWVlWnHnm5cHTp0wPr163HnnXdi27ZtqK+vRyqVQmNjIxoaGlBaWorp06fjhz/8IV588UVccMEF+I//+A+ccsopac9NEET7hSZOxBENd/kGiftFOcftpMwY8xzrln+C2g5DURTPcaJkGAVrsvb888/jK1/5ilRWVFSUUVtRxqDrOu644w5cdtllnrLi4mLPtQyjtLRUahcAHnnkEWliCxgTU6vOkCFD8Jvf/MbTVo8ePQAYPlLTp0/HmjVr8PTTT+O2227D2rVrcdZZZ7VoXLt27cK3vvUt3HDDDViwYAG6du2KzZs3Y/LkyfY9+8EPfoDRo0fj+eefx4svvohFixbhvvvuw7Rp0yJdD4Ig2h80cSKOaE466SSkUim89tprGD58OABg3759+OCDD3DiiSdGaqO8vBy9evXC3/72N3zzm98EYFgmtm7d6nH0FkkkEtA0TdrXo0cP1NXVSZONN998UzpXZWUlXn31VZxzzjkADAtMTU0NzjjjDHtMRUVF2L17N84999xIYwjipJNOwquvvirtc2+fccYZeP/993Hcccf5tjFw4EDs3r0bn376KXr16gUAeP3119Oeu1evXvjKV76Cjz/+GFdddZVvnTPOOANPP/00evbsibKyssC2Tj/9dJx++umYM2cOhg0bhieffDLtxCnduN544w2kUincd999UBTDHfSZZ57x1KuqqsINN9yAG264AXPmzMEjjzyCadOmIZFIAIDnGSAIon1DEyfiiOarX/0qxo0bh+uuuw4PPfQQOnXqhB//+Mf4yle+gnHjxkVuZ9q0aVi0aBGOO+44DBw4EEuXLsX+/ftDLS39+vXDpk2bcOWVV6KoqAjdu3fHiBEj8Nlnn+Gee+7Bf/7nf2LNmjX485//LE0KbrrpJtx111346le/ihNPPBGLFy+WYgF16tQJs2fPxs033wxd13H22Wejvr4eW7ZsQceOHTFx4sTI45o+fTqGDx+Oe+65B5deeilefPFFSaYDgJ/+9Ke4+OKLUVVVhcsvvxyKouCtt97C22+/jZ/97Ge48MILceyxx2LixIm45557cPDgQds5PJ0lat68eZg+fTrKyspw0UUXoampCW+88Qb279+PmTNn4qqrrsLPf/5zjBs3DvPnz0efPn2we/durFq1Cj/60Y+QTCbx8MMPY+zYsejduzfef/99fPDBB5gwYULasacb17HHHotUKoWlS5fikksuwcsvv4zly5dLbcyYMQMXXXQRjj/+eOzfvx/r1q2zJ+R9+/YFYwx//OMf8a1vfQslJSXo2LFj5HtDEESBkjfvKoJoJdxO2v/+97/51VdfzcvLy3lJSQkfPXo0/+CDD+zy6upqyRmac85Xr17Nxa9HMpnkU6dO5WVlZbxLly781ltv5Zdffjm/8sorA8/7yiuv8FNOOYUXFRVJbS1btoxXVVXx0tJSPmHCBL5w4ULJOTyZTPKbbrqJl5WV8c6dO/OZM2fyCRMmSI7ouq7zBx54gJ9wwgk8Ho/zHj168NGjR/ONGzcGXhc/53DODQfsPn368JKSEn7JJZfwe++913M91qxZw4cPH85LSkp4WVkZ/9rXvsYffvhhu3z79u38G9/4Bk8kEnzgwIH8ueee4wD4mjVrOOeOc/jWrVs95//Nb37DTzvtNJ5IJHiXLl34Oeecw1etWmWX19bW8gkTJvDu3bvzoqIiPmDAAH7dddfxAwcO8Lq6On7ppZfyyspKnkgkeN++fflPf/pTrmla4HXIZFyLFy/mlZWV9nPz2GOPSQ7fU6dO5cceeywvKiriPXr04FdffTX//PPP7ePnz5/PKyoqOGOMT5w4UTo3yDmcINoljPMsHDUI4ihH13WceOKJGD9+vBQtvJDp168fZsyY0SbpaF5++WWcffbZ+OijjySne8KBMYbVq1e3OJUOQRBtC8VxIogI7Nq1C4888gg++OADvP322/jhD3+IHTt24Hvf+16+u5YRt956Kzp27IgDBw7ktN3Vq1dj7dq12LlzJ1566SVcf/31+MY3vkGTJh9uuOEGkuwIoh1DFieCiMCePXtw5ZVX4p133gHnHIMGDcJdd91lO3C3B3bt2mWvBhswYIDt8JwLHnvsMSxYsAB79uxB9+7dccEFF+C+++5Dt27dcnaOTDn55JMDI4g/9NBDgQ7prc3evXtRX18PwAh7Ia40JAii8KGJE0EQRyTiRNFNr169PLGhCIIgokATJ4IgCIIgiIiQjxNBEARBEEREaOJEEARBEAQREZo4EQRBEARBRIQmTgRBEARBEBGhiRNBEARBEEREaOJEEARBEAQREZo4EQRBEARBRIQmTgRBEARBEBH5/zMCXh03pt0gAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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JUIXmPItT16g14nCv14t//OMfaNGiBeLj49GyZUs89NBD8PvVN1qSJMyaNQuZmZmIj49Hz549sWfPnhhazTAMwzCVxxf0qqvsj6k8tWbg9Nhjj2HJkiV49tln8eOPP2L+/Pl4/PHHsWjRIiXP/PnzsWDBAjz77LPYvn07MjIy0LdvXxQVFcXQcoZhGIapHD4pOj+m8tSagdO2bdswZMgQXHvttWjevDn+7//+D/369cOOHTsABGabFi5ciBkzZuD6669HTk4OVqxYgZKSEqxatSrG1jMMwzBM7WLx4sW49NJLkZycjOTkZHTp0gWffPKJcj6cVZ7y8nJMmDABaWlpSExMxODBg/Hrr79Wd1WiSq0ZOHXr1g2ff/459u/fDwD497//jS1btuBPf/oTAODgwYPIz89Hv379lGtcLhd69OiBrVu3xsRmhmEYhokG/ij9zNC0aVM8+uij2LFjB3bs2IGrr74aQ4YMUQZH4azyTJo0CWvXrsXq1auxZcsWnD17FgMHDoTPJxC11RJqjTj8vvvuQ0FBAdq0aQObzQafz4c5c+bgpptuAgDk5+cDANLT0zXXpaen43//+59uueXl5SgvL1f+LiwsrALrGYZhGCZy/LDAV0nvFb/J6wcNGqT5e86cOVi8eDG++eYbtG3bVrPKAwArVqxAeno6Vq1ahTvvvBMFBQV46aWX8Oqrr6JPnz4AgJUrVyIrKwufffYZ+vfvX6n6xIpaM3B64403sHLlSqxatQrt2rXDd999h0mTJiEzMxMjR45U8lks2o4hSVJIGmXevHmYPXt2SLo/zg/E+RUvCk0R1GWDuv54g8c+na0nqGtKJB4ZJrzy9LzntN5vltDzel53wbwWSa+w8DHllKjZ7oC6BAnK0vEukudVo7Fjjd6jrxVUsb2623no/iFIjIJnmmT0YAy8SQ13pAnDmyyid8PAOy4sRFuCkHUFbwK5HfFSE3ngSXHkvC/0WM+LTeSNp+clqNtnBJ5ytB7C7VXo50HHG0/OK9kk4XnN9izBb7OeV53yXamFwqFzJwhcLhdcLleF1/h8Prz11lsoLi5Gly5dDFd57rzzTuTl5cHj8WjyZGZmIicnB1u3bq21A6das1R377334v7778eNN96I9u3bY8SIEbjnnnswb948AEBGRgYAdeZJ5vjx4yGzUJTp06ejoKBA+R0+fLjqKsEwDMMwEeCXovMDgKysLKSkpCg/+f+jIn744QfUq1cPLpcLd911F9auXYu2bdtWuMojn8vPz4fT6USDBg1089RGas2MU0lJCaxW7TjPZrMp4QhatGiBjIwMbNiwAR06dAAAuN1ubN68GY899phuueGMtBmGYRgmlviisFQnX3/48GEkJycr6RX9P/Diiy/Gd999hzNnzuCdd97ByJEjsXnzZuW82VWecPPUZGrNwGnQoEGYM2cOmjVrhnbt2mHXrl1YsGABRo8eDSDw8CZNmoS5c+eidevWaN26NebOnYuEhAQMHz48xtYzDMMwTM1A9pILB6fTiVatWgEAOnbsiO3bt+Ppp5/GfffdByAwq9SkSRMlP13lycjIgNvtxunTpzWzTsePH0fXrl2jVZ1qp9Ys1S1atAj/93//h7Fjx+KSSy7B1KlTceedd+Lhhx9W8kybNg2TJk3C2LFj0bFjRxw5cgTr169HUlJSDC1nGIZhmMohzzhV9ldZJElCeXm5ZpVHRl7lkQdFubm5cDgcmjzHjh3D7t27a/XAqdbMOCUlJWHhwoVYuHChbh6LxYJZs2Zh1qxZlb6fxeWDxeWD1RZYCrQQMaGVCAQtAnG35Fc7p0ZLLRKtSuK82jyC6/VElcq9dfJKgrzEXosvVIAdOCFVbKPQGJ2XVFRGGOVqhKShunatQFWw5YLuLh9WQbqe6Wa+O6K80daRRvIdjHTLIAMiLjWcfiKFJulWQ9RJdfJaBOXq2iO/D3r9zABarOF1oj4JUjUq7Nb7FgTz0C1F/A4iihZsL6K/lQv5RggE31aPemwrD0236JRr0fFIl/Nr6i4QswOAJJdBVps04nGNUFzSTTv3WG5jmmbRnJePq8et3i9Z4K+kR4rZ6//+97/jmmuuQVZWFoqKirB69Wps2rQJ69atC2uVJyUlBWPGjMGUKVPQsGFDpKamYurUqWjfvr3iZVcbqTUDJ4ZhGIapq0RT4xQuv/32G0aMGIFjx44hJSUFl156KdatW4e+ffsCCKzylJaWYuzYsTh9+jQ6d+4cssrz1FNPwW63Y9iwYSgtLUXv3r2xfPly2Gx6mw/WfCySZGoO4bynsLAQKSkpyHp+JqzxcTzjpGNLWOj860b4L+RwZpz8gjrRf72acOGOdMbJFHVsxiliTMw4UfRnnMJM0ytDr9+KZpz0+lkkYRX0ZrIibIeaNONk9ZJyBaENQpBnlHVmnKjtcrqPzDh544npTpo3+jNO/tIyHL5rFgoKCsLWDZlB/n/S5t0XoF5S5dQ1Z4v86JFzpMpsrSvwjBPDMAzD1HB8sMJXSVly7Y3VXbPggRPDMAzD1HCkKGicDIPDMmHBAycdHPEe2BJssAbnq202dV7aSuawrVY1XRSWQm/5Te7AtCP7dZbt/H5ryHlozpPrgnklKp4UnA9cGLSb2iiIjHvu/dQ0g+VAvXDMBkuOFhN5NeZYxcdGK1OV/pboRZU3yltVHzEdGwxvV/FKclj3qKgsffRekooN0V3OMsAwSrieeFk+pu+TiX6mFyBduU6zNBZZWRqES8Xi8OZKsl0nK1mXM+pHthK1UewlwbQycp4s62lWC0URx6m19JtHlh+9wSU6X5z4vN9J6mmXl+pEIm8AjtB0K/n2U2mGnO73kwoxdQIeODEMwzBMDScW4nBGDA+cGIZhGKaG45Os8EmV1DjVML+Q2kqtCYDJMAzDMAwTa3jGiWEYhmFqOH5Y4K/kXIc/6vFQ6iY8cNIhIc4DW5wVtqD420aUnzarWCguwkfE2D4iKvX4A0FCaBgti47qUgoKEqk4nArCLVYq/g7k9fmoapWURe8nxzKhgnC9uFLB+5kS5OqIezURlEWXaRL1FLUG96PIbWV0vR5G8YI05w0qp5M1Ygz6n7BLWXTOa0I6V3ydps8IYu4YlmUg/A69d6hamjpWmIkNZuhZpFEhExOCMc408cJE4nHAlPBf8aXQROoP86Jzji2iV5nGW3KT68h3Q460LYunAZ04TzBIA+B3qWV4giJtv4O8/6VqXhu5B40FJYrvRAXfmphNCaH2UkG430WE7c5gXD4H/Q6S77ldPZYdgmjcPuokJP9/wCdVjzicNU41B16qYxiGYRiGCROecWIYhmGYGk50xOG8VBcNeODEMAzDMDWcgMapkpv88lJdVOCBE8MwDMPUcPxR2HKFxeHRgQdOOiS5ymCPk2ALKjY10cJ1BLneoBC82K0qF0vdqqKRisOjiSgYNRU0UlE5jYIrBUOdS6LNc6HdVFeS60xFr1Yd4bZwM2OdaNYGiRYv3Vw0tFzJqiNmNb5LhWgesd5jkwXzVMgqDswsNEFjL91otKpF5Tq6bQm0rQW22MRtbQkKai0Gm18DJHK9Rusd2cdcEx3f4HlpovqLduY1cIoIHAejTutFs/fR9gutk3CTanKs53ihMVf4boUmAVDeT0lnBwDRJr70fYOBUJy+e6Cb5tppuhypm2SgzixUHE7+byTqfx6yJ603QRANnIjAEae+lBrBtyPo7GMLFYEDgN2mXmcL1s9m8YekBY4D6V4f2dWYqRPwwIlhGIZhajiscao58MCJYRiGYWo4flg5jlMNgcMRMAzDMAzDhAnPODEMwzBMDccnWeAzEVhVrwym8vDASYd6DjccDlUIbiQIB4ASjxMAUO5VhZBWEmXc6SARaoNTpnTN2kg8LmkErCTqrxQqoPYTNayF2C4Joo9TcbhEBK6SRbVNKY7MUUo6YtbKzgYLox8DkHyheTTfAT1BsmyzbgRwgehcxx6NuFa+n09H9KtXoHw9FZXTZx/sPpKN3qziskwJxqm5tM2sgnSal9hjEVxHRbgWm05DSBL9T8XQfiB4RrpVlvsGbVN6aBDVXDdwvWyDjnicvjtKOj1PBeM08r9sr45jhiYiuUB0rkHzvELTKJqSguXq7gxA6yE/ZxJ9Gw4aTp0U4Ql0DklvdwKiGXcnqseelEClqeDbmaSGPa8Xpx7bbfLuDmpe6nZPd2+Qobs/xNm9ajWsvpA8eo5B8rHXWz3icF8UvOp8vFQXFXipjmEYhmEYJkx4xolhGIZhajh+yQp/Jb3q/OxVFxV44MQwDMMwNRxeqqs58FIdwzAMwzBMmPCMkw4Jdg8cdiKkJmLDs0EROAAUk2NZpF3PpQoXqdhQJNL2+FV1JBV5iwSNFJ+BUNzvF5dF0+Xr6H39PrGYVZnhpfpWH1UTU+sEIlo9RMJVGhHaJhZei8TCmmJF99azhz4XUbG6YuDg5TqRmTW3EEUZFwSwpmVoIrfrCN9F99XM5ovE3zriaHoPSzAas9WpGmwnxyJnCdq/rXpC/WCyX6d/0zJov5SF3qL+S88H/pALQ2jaufb4Qh+4lQidRRHQ9SLta5wsBOJwjSiaPntfaF6JLqmIhOQ63V8TZVwU4VuPYIGioOrAOVG5g6JwC+kPjjhVYO1yqMfuoKOM+6iq/Kb38KmbLMDfvFQ5zmhQBACIs3uUNCrottNjwe4OlDKf+r85jy9gj4NECE8g96DlGiE7+HjI9VWJH5X3igu/dkxF8MCJYRiGYWo40QmAyYtM0YAHTgzDMAxTw4nOlis8cIoG3IoMwzAMwzBhwjNODMMwDFPD8cOi0dpGWgZTeXjgpIPT5oXDZoU3KN4+WZqgnCt2q4pGKjJ02QKiSBeJROu0UjWwijtYrs0vluv5BeJvrybKuDXkfCA9KKK1qml2okT1CcS1tCwfUTpLREoo56UCWBopWiPWlvOaiKKth6EAWEMYEbxF5zVRpQV56SPSPBftf889T0WwcgRlq1grrDUt+Aj0ojjT2XZZtGuhkZv16h4UCYsEzwDgJAJfuz3Qb+WozOcei9CIw3WMkJcK/IJ2DByr6R4Sgd8S7GvC5wPA41Hzet22EHssJEK1KDS9Jmo3aR8bjYauIz4W2S47WVAHCk3/FR1rxOW0YJJeoQU6QeV1nBs0mYPP1m8QHR4ALMG8VBAe51QF0vT7lxh0lClsqlaoJDlOeI/MhgXKcYIjcJ1IBA6II3jrna/nCI3srSck1+QxaG15EGKxeSvMFy14qa7mUKta8ciRI/jrX/+Khg0bIiEhAZdffjny8vKU85IkYdasWcjMzER8fDx69uyJPXv2xNBihmEYhmHOJ2rNwOn06dO46qqr4HA48Mknn2Dv3r148sknUb9+fSXP/PnzsWDBAjz77LPYvn07MjIy0LdvXxQVFcXOcIZhGIapJHIAzMr+mMpTa5bqHnvsMWRlZWHZsmVKWvPmzZVjSZKwcOFCzJgxA9dffz0AYMWKFUhPT8eqVatw5513VrfJDMMwDBMV/JJFs8QdaRlM5ak1w8/3338fHTt2xF/+8hc0btwYHTp0wAsvvKCcP3jwIPLz89GvXz8lzeVyoUePHti6dWssTGYYhmEY5jyj1gycDhw4gMWLF6N169b49NNPcdddd2HixIl45ZVXAAD5+fkAgPT0dM116enpyjkR5eXlKCws1PwYhmEYpibhj8IyHQfAjA61ZqnO7/ejY8eOmDt3LgCgQ4cO2LNnDxYvXoxbbrlFyWc5x+1GkqSQNMq8efMwe/bskHQb/LBb/MrWEfVdZcq5eg51SxWnLdRrzsgbA1C9RbzEo416zfkF26hYyBYo1IOEXmezhm6jovG6I20he4VQrzuvVeytp1yvs+WF3v2ECJrH8BpU4KUnKkNvewsljZ4XbB1DvW6oK5w/1CNL45VHvISoA4sFstcSyRxHtuNxhHoE6bUJ3c7EGvRw0qu7w0m2wgh6Ptno1io6nnByN6HeR0ZeZWby6tWNenja4lRvKHnrIurFSj2uqO3y+0C3Qypxq8flHvWz5w16vVF7qO1ar0JfSF69eviD2zX5iFedZhskgbedrtcdvUcke2ZQE/U89+SsetuzCLwO9bbYof1LbrO0pGI1b9JZtSza1oItVehzterklfPYreItgURlWHX2lrEJ+i3d5sRLtsiSv8H+atrIxC9Z4a+kV5zZ6+fNm4c1a9bgp59+Qnx8PLp27YrHHnsMF198sZLnt99+w3333Yf169fjzJkz6N69OxYtWoTWrVsrecrLyzF16lS8/vrrKC0tRe/evfHcc8+hadOmlapPrKg1w88mTZqgbdu2mrRLLrkEhw4dAgBkZGQAQMjs0vHjx0NmoSjTp09HQUGB8jt8+HCULWcYhmGY2sfmzZsxbtw4fPPNN9iwYQO8Xi/69euH4uLAQFiSJAwdOhQHDhzAe++9h127diE7Oxt9+vRR8gDApEmTsHbtWqxevRpbtmzB2bNnMXDgQPh84nA9NZ1aM+N01VVXYd++fZq0/fv3Izs7GwDQokULZGRkYMOGDejQoQMAwO12Y/PmzXjsscd0y3W5XHC5XLrnGYZhGCbW+GCBr5IBLM1ev27dOs3fy5YtQ+PGjZGXl4fu3bvjP//5D7755hvs3r0b7dq1AwA899xzaNy4MV5//XXcdtttKCgowEsvvYRXX30Vffr0AQCsXLkSWVlZ+Oyzz9C/f/9K1SkW1JoZp3vuuQfffPMN5s6di//+979YtWoVli5dinHjxgEILNFNmjQJc+fOxdq1a7F7926MGjUKCQkJGD58eIytZxiGYZjIkZfqKvsDEKLrLS8PDRIqoqAgEKQ0NTUVAJTr4uLUoKY2mw1OpxNbtmwBAOTl5cHj8WgctzIzM5GTk1NrHbdqzcCpU6dOWLt2LV5//XXk5OTg4YcfxsKFC3HzzTcreaZNm4ZJkyZh7Nix6NixI44cOYL169cjKSkphpYzDMMwTOXwQZ11ivwXICsrCykpKcpv3rx5hveXJAmTJ09Gt27dkJOTAwBo06YNsrOzMX36dJw+fRputxuPPvoo8vPzcezYMQAB+YzT6USDBg005Rk5btVkas1SHQAMHDgQAwcO1D1vsVgwa9YszJo1q9L3clh9iiAV0AoPKX4dQbcwL5kmtQZFhhoRIxEeU9G4P6jU1dsmwCEQaVORrZ4Ncl6vj2xtQe4hEr7a6L3CEIqr54XmGBKOaNzIBmX7Cy8V5JL28YnsJWJhm4HxVC9ORb30eTmDAlJSFt2yxmqjW3uEpukJr/3BelCxsY0IqBPiVEcGRXCrU5aofxmdB8TOEHricKOtLkRbaQCqEFfvPD2OswQE8dSJwx+vPpcSr0M5LiiLBwCUagTj6vtAy5VFz3rfAp9ANO6z0feFbplU8dZHtB9p3jNZSO4Tv3t6WwmpaXRLFcF19BoT76xG+E6OLcEtnKykT4bTp0Tn9QTf8vMQ9ZdAunrsEIjC9YTiMj5J7Rv0+2m3yPetHnF4NDl8+DCSk5OVv8ORq4wfPx7ff/+9MpMEAA6HA++88w7GjBmD1NRU2Gw29OnTB9dcc41heUaOWzWZWjVwYhiGYZi6SDS96pKTkzUDJyMmTJiA999/H19++WWIJ1xubi6+++47FBQUwO12o1GjRujcuTM6duwIIOC45Xa7cfr0ac2s0/Hjx9G1a9dK1SdW1JqlOoZhGIapq8ib/Fb2ZwZJkjB+/HisWbMGX3zxBVq0aKGbNyUlBY0aNcJ//vMf7NixA0OGDAEQGFg5HA5s2LBByXvs2DHs3r271g6ceMaJYRiGYZgQxo0bh1WrVuG9995DUlKSoklKSUlBfHxgmfutt95Co0aN0KxZM/zwww+4++67MXToUEUMnpKSgjFjxmDKlClo2LAhUlNTMXXqVLRv317xsqtt8MCJYRiGYWo4EiwajVWkZZhh8eLFAICePXtq0pctW4ZRo0YBCMweTZ48Gb/99huaNGmCW265BQ888IAm/1NPPQW73Y5hw4YpATCXL18Om82G2ggPnHSwW3yK+C/wt3pOs84sEAbSzu3TCJbV6+RIu1aaBhKVlkTGFYmt9YTo7qDo3G8VCxb9mii4odO2mnIFwkx63mcV2yALN8N5yWVhKy3X46Uvk2oDFc96PYE8msjDRGxts1KxdTDyOtXCUhE3fZyiyMm0SQRVosJ3jWiXimSDonArFZprRNrEnKAonNbBrhGPEyeCYBe1krxxJFq4UyDKDUccHong20joq5dXL9K+SBgcjljYKDp0nM2jHCfYA8dnylV36mK3WCgrv8v0vaHt67Sr7S4SfGuj66vlyu+JpPMO+DTC62Ckcz3xuBTa//T0tzRyuCI61/muWATR6vWg773o/bZC/I2pKmyaPhPqZGDT6X+e4LfZZVWfq0hcLlWTODySpTZRGWaQwvDqmThxIiZOnFhhnri4OCxatAiLFi0ydf+aCmucGIZhGIZhwoRnnBiGYRimhuOXLIYhb8Ipg6k8PHBiGIZhmBqOD1b4KrlIVNnrmQDcigzDMAzDMGHCM046xNm8cNnUqVGPpIo1/QJhJ6AKVEVCVQDwC4SQdioe14lIrN6X5BVEAAcApywOF9h1brosci3zqd2ARkvXRM8O2k7TvERoKBKV6gmPqb0lbicAoNyt2uAmx1arWMgsi1l9JOKz367a7ohTBZ02gVDeTvS/ItFzWCJZuU3IeT+J4O0jkcplQS2tj1UkRIcq9KaCcD1xuJxOBbC0viIhuJ6oWvS8dKOFC9LNCL71RN5G5VkFQt9w8uohR5h2kn5/klxX4nEqx/IXgAq+PeQ4zq6Kzl2OQP/Tc8bw+NXvidzXaPv77MQRwhd6nV8gGA+UBXJcseDbLxSS08ji4j4l9znaJ20WcV+1mYhWb/y8Kz7WfndJ3xB8jx3E8Uevn9gR+j0WLXVZibNBVcJLdTUHHjgxDMMwTA3HDyv8lVwkquz1TAAeODEMwzBMDccnWTThbSItg6k8PPxkGIZhGIYJE55xYhiGYZgaDmucag48cNLBZpFgs0hKR9NEtiaiaC8RecrCa6dOpFkqUiz3B5qeihjjbW41ryCyrU9HEG60Y7ZeBG952rbM51DS3H61S9gFEXHdpL5U7EqF4mXeQBkicTkA2Ig58Y6AsLKciLy1Ub3V61wkIrYcOZxKsy02sZhVKZfYY6dCcntodG2vj4p31TKcDoFglNqrNqXmfjT6swyN8C2CCm41kcUFQls9QbhI/G1GcEvRc3owFIobiMYjFXzTvDYDe/WQ3w07EYdnJqjPhb4bZ73OkHLp+0CJs3mD5ao2at4XwbujfafJ94ZsS+GSAuVKOnlFQnFRJG89aJ+zkXfPbqO7KIS+WxqHBZ1dC2T0+gYtVy5Dm0aitJNj2aGFPhea1yYQjTvo+wJxn1OvV89Td36l3a0Vv8fRQpKsht/6cMpgKg+3IsMwDMMwNZaff/4Z//jHP3DTTTfh+PHjAIB169Zhz549MbGHB04MwzAMU8PxwRKVX21j8+bNaN++Pb799lusWbMGZ8+eBQB8//33mDlzZkxs4oETwzAMw9Rw/JKqc4r8F+tamOf+++/HI488gg0bNsDpVOOq9erVC9u2bYuJTTxwYhiGYRimRvLDDz/guuuuC0lv1KgRTp06FQOLWBxuiBwxvMgbp6RRwSgVL8YFI8jWIyLvZHtpSFkA8LsnEYBW0JhsL1OOteLwisWWmqjmgrEwjW5MxYWyUDKeRL716ohd5bz0eio6LSfRx73OQB7aNlQ8ftajhu322gPCytS4EiXNXV+14bezScoxFWm74gI2+5xquVQgTUXcaluSaOLENlGUdSqMdRJhbLxDfba+YJ08REhOnxsV6rqDeRKc6vV6Udple6jo10jwbdcRh1PEEZYrL/IWX1exPfo2iAXfqjjcuJ7K9TricNFyBW1rFxH70ns4g4Jv6vxxxp2gHJ8lUcZl0bgsEgeAes5y5Zi+D+7gu6O3G4DbF+qAotc3vP5Q8XI4nlSi6OVOHUG4XRANXO9ZCCNt6/QjKuiW70fTqKON9hmF2qPtO6F9xmYgCA+U4Q+xkSI/C1u1RQ6vvDi8stfHgvr16+PYsWNo0aKFJn3Xrl244IILYmJT7WtFhmEYhqlj+GGJyq+2MXz4cNx3333Iz8+HxWKB3+/H119/jalTp+KWW26JiU08cGIYhmGYGo4cObyyv9rGnDlz0KxZM1xwwQU4e/Ys2rZti+7du6Nr1674xz/+ERObeKmOYRiGYZgahyRJOHr0KF544QU8/PDD2LlzJ/x+Pzp06IDWrVvHzC4eODEMwzBMDacuapwkSULr1q2xZ88etG7dGi1btoy1SQB44GSILNimwu0Ue4kwryxGLfOr4vFCX7xyTKdJ6zsConGXRRUWUrGwET4qtvaqYms58ncSsTdeR7woCzcdVChpUwWsRlF0qSi91KoKY0uD9fcQoflZt2ojFdHK9aB1r+9SbU+o/7tyLBLJiuoDaEWyMnpRnKmw3R2Mep5AROApTrFov8wX+vroPcMGQaGt08QzpkQaiVubbiKicwTliqJ365cVhjhXEPFZTwBsBvoeKgJqolqg4nH6PN3eQP+jziH0eVIhuNw3CokjhFXgSAKo76dP039JX7cL7NX5H6BIjK0nOqfvgPxuJDvUvi4SYOtBn4toVwORA8a55Yp2S7DqCMIdFpHzh4pNx15RX9TLK3/fSvzq90rkqOPxV9w20cKPKGy5Uss0TlarFa1bt8apU6diOsN0LrVr+MkwDMMwTJ1h/vz5uPfee7F79+5Ym6LAM04MwzAMU8ORouAVJ9WyGScA+Otf/4qSkhJcdtllcDqdiI+P15z//fffda6sOnjgxDAMwzA1HDn6d2XLqG0sXLgw1iaEwAMnhmEYhmFqJCNHjoy1CSHwwIlhGIZhajh10asOAA4dOlTh+WbNmlWTJSq1duA0b948/P3vf8fdd9+tTOVJkoTZs2dj6dKlOH36NDp37ox//vOfaNeunenyUx1FiHM4kGQNeJlQLw49yqSAt009m+qZkkSOj7lTlGPZQySBeLF5/OrjOOtTvXHKg+l6nivFxKtO9rCjnmJN4gqU43rkfnreJCJEW64U+dRtaE66E5XjQ0UNAufLVLsSXaqXWma9QuU42aFuSaPaRbZ9IJ40btI+p4NbXVDvJL288pYW1AuOth/1nEqMD9iZYFfLjdPZkkbeViOReOCluYpD6gOQ7U502pxu0yNvMyHyTgqHaOyArrddiQhRnfS3sRBtv6LjAWWw7ZDRlit6yxI+S+i2JNRD1Equo1vv+GyBdI3HG7Eh1aX2E/k9pJ6ghW71fYmLJ151Vk+wPuJ2ED17n56nHKmH7NXq9ou3BEokfa6+I+ApnEDStJ5robaF0yd9Aq86M1AvOPq9Cud7HNH9aD2DhyUS9RhWv2mOoCdieTVtnFtXl+qaN28Oi0Xfbp+vavpCRdTKgdP27duxdOlSXHrppZr0+fPnY8GCBVi+fDkuuugiPPLII+jbty/27duHpKQkndIYhmEYhqmJ7Nq1S/O3x+PBrl27sGDBAsyZMycmNtW6gdPZs2dx880344UXXsAjjzyipEuShIULF2LGjBm4/vrrAQArVqxAeno6Vq1ahTvvvDNWJjMMwzBMpYjGXnO1LY4TAFx22WUhaR07dkRmZiYef/xx5f/31UmtW/AcN24crr32WvTp00eTfvDgQeTn56Nfv35KmsvlQo8ePbB169bqNpNhGIZhooa8VFfZ3/nCRRddhO3bt8fk3rVqxmn16tXYuXOnsLHy8/MBAOnp6Zr09PR0/O9//9Mts7y8HOXlqu6nsLBQNy/DMAzDxIK6qnE69//JkiTh2LFjmDVrVsyiiYc1cLriiitMFWqxWPD+++/jggsuiMgoEYcPH8bdd9+N9evXIy4uTjffuSIySZIqFJbNmzcPs2fPDklPs59FvN0uDNGvhyxepNdQYbHVpQoPRWLX33yqeLzUpwoSPUGBZTkRPJvb3kJNo2L0BKs7WK66hQQVncZZQrdqKfKrbf87EYTvPakOWAvPBITbmelnlLR2DfKV40S7aoPMGY8a1OxIidoOmm1WyEt/8mw9AIDNprZjer0i5TgtThVpO8lWGDK0TehWGY1dgTJoO2jEwCS9XnB7CroVRD27Kq4VQbfVoNfRbXxkYTYVLGvLIOJmwdS7z8R2HNFEXxBuwglBRwwsvp96Xiig1mknqySFpFPbqcDaTt6BZHvAkeFoudo/KQ5qb/BVLbOo79bv5Wofp9sgycLsOKuapme76NnSfkK/EaXBrWES7WrdGjrU9yLVrh4nWAPvZDjPSq9/KecFCxm6Qn0Tix6ib2akZdH+oifKTwi+yyk29d2k3z9ZoF7mDP2+MNGjfv36wv+vZ2VlYfXq1TGxKayB03fffYcpU6agXr16hnklScKjjz6qmcWJBnl5eTh+/Dhyc3OVNJ/Phy+//BLPPvss9u3bByAw89SkSRMlz/Hjx0NmoSjTp0/H5MmTlb8LCwuRlZUVVdsZhmEYpjLU1RmnjRs3av62Wq1o1KgRWrVqBbs9NotmYd/13nvvRePGjcPK++STT0ZskB69e/fGDz/8oEm79dZb0aZNG9x3331o2bIlMjIysGHDBnTo0AEA4Ha7sXnzZjz22GO65bpcLrhcLt3zDMMwDBNr6urAyWKxoGvXriGDJK/Xiy+//BLdu3evdpvCmts8ePAgGjVqFHahe/fuRXZ2dsRGiUhKSkJOTo7ml5iYiIYNGyInJwcWiwWTJk3C3LlzsXbtWuzevRujRo1CQkIChg8fHlVbGIZhGOZ8Z968eejUqROSkpLQuHFjDB06VFndkTl79izGjx+Ppk2bIj4+HpdccgkWL16syVNeXo4JEyYgLS0NiYmJGDx4MH799dewbOjVq5dwP7qCggL06tUr8spVgrAGTtnZ2RXqhM4lKysLNptYn1GVTJs2DZMmTcLYsWPRsWNHHDlyBOvXr+cYTgzDMEytRoIakiDSn9lYnZs3b8a4cePwzTffYMOGDfB6vejXrx+Ki1V93D333IN169Zh5cqV+PHHH3HPPfdgwoQJeO+995Q8kyZNwtq1a7F69Wps2bIFZ8+excCBA8MKXqmnUz516hQSExMFV1Q9FkmSTMc9PXPmDP71r3/h+PHj8Pu1wrpbbrklasbFgsLCQqSkpGDxzk6Ir2cXCiH1Itj6DKZB/WScaiTy1EQyFohunRZVkOgiAtYCX0CY/Z9SVddVTKKQpxJxKI0iLlPiV0XpVDwq23PSo+rcqDh896kM1YaigAjWW65OrToTVBvrxav3LS0PCFjLitX7Sn4i3LSr7RufqAqvbcGovV6fmtfpUPM2SjyrHCc7A/ejQn07eYZUrN4gKNIOR2gqT3vT50MjxVPKggJ8Kt5t4lQjusviXAq1wUhcqxfFWRthOnrRx40ii+sJbo0wE7FcD9l2Wl+9dpDfQ/q+0bamz0B2pqBoIv+TMo67kwFoo/oXE4ePC+LOKMeNnQGvIeqMQfuUyEmA1oG+syXkHrLttE+m2VUHivpE9CzaGcCM2NrMt0+/jMii45hxkDCqExWgy2J9+o0vI4408v8HSs968bcrtqOgoADJycnhGx4m8v+Trv7oLtgTKycr8RaX44trl0Rs64kTJ9C4cWNs3rxZWSLLycnBDTfcgAceeEDJl5ubiz/96U94+OGHUVBQgEaNGuHVV1/FDTfcAAA4evQosrKy8PHHH6N///7Ce8nxmd577z0MGDBAI6nx+Xz4/vvvcfHFF2PdunWm61FZTCurPvjgA9x8880oLi5GUlKSZiRosVhq/cCJYRiGYc5nznXxD1frW1AQ+MdeamqqktatWze8//77GD16NDIzM7Fp0ybs378fTz/9NICAY5fH49HEWMzMzEROTg62bt2qO3BKSQl4r0qShKSkJMTHq16pTqcTV155JW6//fYwaxxdTA+cpkyZgtGjR2Pu3LlISEioCpsYhmEYhiFEUxx+ruf4zJkzMWvWrAqvlSQJkydPRrdu3ZCTk6OkP/PMM7j99tvRtGlT2O12WK1WvPjii+jWrRuAgKe70+lEgwYNNOWlp6cr8RdFLFu2DEBgr7qpU6fGbFlOhOmB05EjRzBx4kQeNDEMwzBMNRHNgdPhw4c1S3XhzDaNHz8e33//PbZs2aJJf+aZZ/DNN9/g/fffR3Z2Nr788kuMHTsWTZo0Cdnhg2IUY1Fm5syZhnmqG9MDp/79+2PHjh1o2bJlVdjDMAzDMEwVkpycbErjNGHCBLz//vv48ssv0bRpUyW9tLQUf//737F27Vpce+21AIBLL70U3333HZ544gn06dMHGRkZcLvdOH36tGbW6fjx4+jatWtY93/77bfx5ptv4tChQ3C7tVrDnTt3hl2PaBHWwOn9999Xjq+99lrce++92Lt3L9q3bw+Hw6HJO3jw4OhaGCOK/S74/XZFQJlkLVXOUbEmFRvagse6AkSJCGaDA20rqNBcHIFWFlZqBONERJtMxJ/NHAG3TSrs/r5EnZalUZFl0WiSTa3b715V/E0FvgVBUfjxctVD0UkiX//twi9Dylh1sKOSdvqY+pK6C8m/buTI3+QfHharel/Jr54oJQJyizU0L6XUq/bLxvEBoXiiTX3hRIJwQBu9WYYKi6lQVBYy03aiz4jmlUW5tHx6XgQV3OqJa2URrN7mnSKRrBnhO0UvMriMUWTncNCLXG0mWrVsu89C04jo2RIqFLdJ4mdoFfjO0CjvjYjYOpEI/FOC79Sh8oZKWrpF1ZXQMuRvDBWfG7VlsV99h+h3ox75FshicyoOp98xUVtrI5YbtDntIwYTB3p9TuOwIChD7zqRGJ3aq3XaIemo+J2jbSJ/m/WcdsqkwDem1F89HuSxiOMkSRImTJiAtWvXYtOmTWjRooXmvMfjgcfjgdWqfU42m01xHMvNzYXD4cCGDRswbNgwAMCxY8ewe/duzJ8/39CGZ555BjNmzMDIkSPx3nvv4dZbb8XPP/+M7du3Y9y4cabqEy3CGjgNHTo0JO2hhx4KSbNYLGG5FzIMwzAMEz6SZIFUyYGT2evHjRuHVatW4b333kNSUpKiSUpJSUF8fDySk5PRo0cP3HvvvYiPj0d2djY2b96MV155BQsWLFDyjhkzBlOmTEHDhg2RmpqKqVOnon379hUu5ck899xzWLp0KW666SasWLEC06ZNQ8uWLfHggw8K4ztVB2ENnM4NOcAwDMMwTPUhx2KqbBlmkANZ9uzZU5O+bNkyjBo1CgCwevVqTJ8+HTfffDN+//13ZGdnY86cObjrrruU/E899RTsdjuGDRuG0tJS9O7dG8uXLw8r3uOhQ4eUJb34+HgUFQVmeUeMGIErr7wSzz77rKk6RQPTGqdXXnkFN9xwQ4iYzO12Y/Xq1RyOgGEYhmHOA8IJ85iRkaF4wOkRFxeHRYsWYdGiRaZtyMjIwKlTp5CdnY3s7Gx88803uOyyy3Dw4MGw7KsKTEccu/XWW5VYDpSioiLceuutUTGKYRiGYRgVWeNU2V9t4+qrr8YHH3wAABgzZgzuuece9O3bFzfccAOuu+66mNhkesZJz4Xw119/VQJWnQ+k2YqQYLcpgk8qKqQCQirSlEXCVh1hp4M0myyK1BM/UsGnHK2WXq8nLJavu9yl7gPU3HFCOd54tq1yXOCLD7lXtvOkckyFzBe7jgEAjsapXhHUhqviDyjHrqCIOPtitax/xvVUjo+cUMuQNblWOxFlWtV/RdA1eQsRJ1uCeWxEHB7vUu3NqndGOW5bL2B7gVcNoOYiwvZUuxplXH4eVJxLRdE0urPcN6g4nIpdRUJzPYSRl0mSkbjWjIhWc735fzsB0O/jkWDTEZ2LxMdGInkA8Ae/Tz6NIFw91kQJFwj8rZL4eYqup8f1rSQSt6Pi9qH9SI1Q7RWeF0HzUlE6rYecnmgJjXgOaJ0e5Lai77Thsk4Y/VMpV0eU7bdU3G+p65FPI/4mZSjPyKeTt+LdHWj/0773geMS8o0XRVsvsVWPrjcWGqeawNKlSxW50F133YXU1FRs2bIFgwYN0iwHVidhD5w6dOgAi8UCi8WC3r17a3Yq9vl8OHjwIAYMGFAlRjIMwzAMU7fwer2YM2cORo8erQTtHDZsmOKdFyvCHjjJnnXfffcd+vfvj3r1VLd1p9OJ5s2b489//nPUDWQYhmGYuk4swhHEGrvdjscffxwjR46MtSkawh44zZw5Ez6fD9nZ2ejfvz+aNGlSlXYxDMMwDBOkri7V9enTB5s2bVK8+GoCpjRONpsNd911F3788ceqsodhGIZhGAYAcM0112D69OnYvXs3cnNzQ/asi0XQbdPi8Pbt2+PAgQMhEUTPN9JthUi0WeFBaJwJOt1pJloyFSnK5cYRYaKe4NYZFB9SYSMVP9J0j2QP/lcVl9Yn4tHuiT8px4e9DYN5icDVpkYcp8QFxahxzuNKWnOH6l2ZpPmHTOCPP8YfUVLatF6tHH91QWvl+NMT7QAAR4pUxwKvT62b3aa2SZN6auRlWbB9slR9ieo51XpeEK/aRqMpy6QQkSc9lsXHVPRPxbdUHBoXFN3SKO56mBHayhgJbul14Yi8jYTi1YFICK5rl0B8LBJrA1rxt1yeX0cQTt9Z+TrteYmcF4iJyXnZcSNgo5o3wx7oq2d86p6eBeTYYaVC8EA/SrKq/ZQ6oNjC6F8iZAG5Q+O8QL8h4u+JCMMo4nqR6+XnZnD+XGTxt17Ub409ltDvo9WgXArtD/Rdp89DhGxbsa164hxKUViqq40zTn/7298AQAmoSYlV0G3TLjVz5szB1KlT8eGHH+LYsWMoLCzU/BiGYRiGiS4SAEmq5C/WlYgAv9+v+4vVTiWmZ5xkz7nBgwdrwhLIYQp4yxWGYRiGYaJNWVkZ4uLiYm2G+YHTxo0bq8IOhmEYhmF08MMCSzVvuVIT8Pl8mDt3LpYsWYLffvsN+/fvR8uWLfHAAw+gefPmGDNmTLXbZHrg1KNHj6qwg2EYhmEYHeqqV92cOXOwYsUKzJ8/H7fffruS3r59ezz11FO1Y+AEAGfOnMFLL72EH3/8ERaLBW3btsXo0aPPq8jhjWwlqGezojgotj7lU0XIbkltNpHY1UxUZSouTSDCRCeJDFzfWgpAFWgDwBm/GgWbCjPle7uJqN1B7GlMxM0Z9sAxFZ9S0Vu5QEjqIPWtb6WRh0XtoNLUrp6/KXm/cjwkKeChedSrTr/m+9R+REXaVMRZJgXa7YeSLGKDao+LRF4u8TsBaEXielG95fajIvCGtiLlOIFEYXbKolQ94auOkNkIQyGuQLAc1n0Nvpkx+9eoiQjUfoEIHNCKgW2Qo6mLHS+0ZYRGiqdCc5EYlzp50GPaVxsGo4g3d6jR83/wq32VPmO5ztpo4uq7LsKMU4qe2F0TlVsQwVtbdxqVO7RNrDp9TugMAGoDjeodWgYVyWvLCM1L+4BepHIRGueP4LcWUEX1mvYT1N1eTeJwv2SBpY7FcQIC++MuXboUvXv31kQKv/TSS/HTTz9VcGXVYfrLvmPHDlx44YV46qmn8Pvvv+PkyZNYsGABLrzwQuzcubMqbGQYhmEYpg5y5MgRtGrVKiTd7/fD4wl/W6toYnrG6Z577sHgwYPxwgsvKNuueL1e3HbbbZg0aRK+/PLLqBvJMAzDMHUZ2TOusmXUNtq1a4evvvoK2dnZmvS33noLHTp0iIlNpgdOO3bs0AyagEBY9GnTpqFjx45RNY5hGIZhmLqrcZo5cyZGjBiBI0eOwO/3Y82aNdi3bx9eeeUVfPjhhzGxyfRSXXJyMg4dOhSSfvjwYSQlJUXFKIZhGIZhmEGDBuGNN97Axx9/DIvFggcffBA//vgjPvjgA/Tt2zcmNpmecbrhhhswZswYPPHEE+jatSssFgu2bNmCe++9FzfddFNV2BgTrJbAT9YFymJkQBtlmCILIamgkQoe9a6ToeLQZBK1NsnqDsmbaT+rHJdp7iGLXdU52ThiTwIRh9qCx1RU6ZGIiJaGSwse+klSmUTLVesml+Eh1/slsYDSFhRbtnSodcy2q9HJf/er9p7waUPtA4A1QS23iAjmaVvLEYBpVHQqLnUSga8cxZmKwKmQN5E8C7mN9cTh4YieK8KMkFNjQxT+URmpsN0IMxGoNVGjg8+ICth9ApE3oIq/NZH2NYJv9Vh2otAVIZO8ch4qNNdzMpDrQZ0xLnT+phz/VJ6pHP/uDWyYnhinipSToUa+txKBtSiKuFFkca0YW5xuE6zh6DkhiKJy69ngE4jYIxWSa8sQtIPOMxRBHW0ake8C/VbKVtroe0xu6wna5jVx38pQV2ecAKB///7o379/rM1QMD1weuKJJ2CxWHDLLbfA6w2G9Hc48Le//Q2PPvpo1A1kGIZhmLpOXfWqk9mxY4fiyX/JJZcgNzc3ZraYHjg5nU48/fTTmDdvHn7++WdIkoRWrVohISHB+GKGYRiGYZgw+fXXX3HTTTfh66+/Rv369QEEQiJ17doVr7/+OrKysiouoAqIeD4+ISEB7du3x6WXXsqDJoZhGIapQiq9T10UvPJiwejRo+HxePDjjz/i999/x++//44ff/wRkiTFJPglEMGMU3FxMR599FF8/vnnOH78OPx+7frugQMHomYcwzAMwzDywKeyGqcoGVONfPXVV9i6dSsuvvhiJe3iiy/GokWLcNVVV8XEJtMDp9tuuw2bN2/GiBEj0KRJE81GvwzDMAzDMNGiWbNmwkCXXq8XF1xwQQwsimDg9Mknn+Cjjz6K2UivurBDggOSEnb/AvsZ5VxxcAsPQOuRJXu/lJDzZyR1GZN64MjeOnTLBhr6n3rSxQm8Nhya8ap63hk8JruhaDzp4oj3m8sS+vgLJNUGj2DLFeo94yH/evETjxiRj4lPx+vGJvCaodfTuicRT0OZ5DC2Uakf3P6Cei1SDxzqYSPaZsEIh3EWyFtW6HrgCYh0CxQz99BFUEQknoGA/tYdagrZOkXjxVaxlxX1rBJ5VBl53QGAQwrd2sSn2b5FLVe2h3rV0a2RaD8StVWmvVA5PuVTQ7f86k4NpAW96wAgw6bmjQPd4kW2QcVDveME/dZF31kdTzrZg067fZPOOyuFepNqPM+IdXIZtA/YLOLtWzTb3gSfF60n9cgUlVGxz3IAeSsW6u2YRG5SrOmrUki5TktoW3sE/bQqqKtedfPnz8eECRPwz3/+E7m5ubBYLNixYwfuvvtuPPHEEzGxyfSXsEGDBkhNTa0KWypk3rx56NSpE5KSktC4cWMMHToU+/bt0+SRJAmzZs1CZmYm4uPj0bNnT+zZs6fabWUYhmGYaCJF6VfbGDVqFL777jt07twZcXFxcLlc6Ny5M3bu3InRo0cjNTVV+VUXpmecHn74YTz44INYsWJFtYrCN2/ejHHjxqFTp07wer2YMWMG+vXrh7179yIxMRDfZ/78+ViwYAGWL1+Oiy66CI888gj69u2Lffv2cXBOhmEYptZSV2ecFi5cGGsTQjA9cHryySfx888/Iz09Hc2bN4fDoV2oqKqNftetW6f5e9myZWjcuDHy8vLQvXt3SJKEhQsXYsaMGbj++usBACtWrEB6ejpWrVqFO++8s0rsYhiGYRimahg5cmSsTQjB9MBp6NChVWCGeQoKApF15em5gwcPIj8/H/369VPyuFwu9OjRA1u3btUdOJWXl6O8XNX1FBYWCvMxDMMwTMyIxlpbbVyrC3L8+HGhJ/+ll15a7baYHjjNnDkzrHyvv/46Bg8erCyjRRNJkjB58mR069YNOTk5AID8/HwAQHp6uiZveno6/ve//+mWNW/ePMyePTsk3WmxwGmxIEkWZhIxop5wWBYW17erwu5USRUhlvjV2bliyRlSFhWEJ1lDtzPxa4TZdEsV9fh3f+CRUkGpdusPNW+J5AmWpd6rwE/zhgohrTozvcWkM4vE4XEWKjSXQo59VKhKmpeK8JKsqvi2KFhPWfh9LmWS2rXl7WuoEN9hCRXUA+L60W1m9OofLg7NNjQGmXXuZST+NhKrRyoedwifrHE0Yr2tO9RyVTxEimu0XQd9nlQ4LNfPASog1pFzGjQFFZ0r74BGMK4eO3QcDtQ09Xxrsv2K7BRyxNNASTvhU4XiSY4z5B6B/1LHDDOODDQvdTApl0LPG20lZNX0ZfqtEAi3DcTjIWVYQp0pbDr9T28LF7Ws0GfksNB2UK+PE9yDfo9oPeKC13mqa/UrCkt1qIVLdXl5eRg5cqQSu4lisVjg84U6nFQ1VbMhFYA777wTv/32m3HGCBg/fjy+//57vP766yHnzg2PIElShSETpk+fjoKCAuV3+PDhqNvLMAzDMIx5br31Vlx00UXYunUrDhw4gIMHDyq/WMWNND3jFC7njgyjxYQJE/D+++/jyy+/RNOmTZX0jIwMAIGZpyZNmijpx48fD5mForhcLrhcriqxlWEYhmGiQTQif9fGAJgHDx7EmjVr0KpVq1ibolBlM07RRpIkjB8/HmvWrMEXX3yBFi1aaM63aNECGRkZ2LBhg5LmdruxefNmdO3atbrNZRiGYZioIXvVVfZX2+jduzf+/e9/x9oMDVU24xRtxo0bh1WrVuG9995DUlKSomlKSUlBfHw8LBYLJk2ahLlz56J169Zo3bo15s6di4SEBAwfPjzG1jMMwzAMY5YXX3wRI0eOxO7du5GTkxPiyT948OBqt6nWDJwWL14MAOjZs6cmfdmyZRg1ahQAYNq0aSgtLcXYsWNx+vRpdO7cGevXr48ohpPLYoXLYlWEoB4iYkywisVosvDXqYnUrealImS3zxbM6yN5QwXhAFDPEhCSU3H4aRLhO45GQg6W4SaTiUVE/G2TQoWbeiJlKhSVRdGaNPFlhtBo4ao43Pg6KqyuH4wSrifyppzxu4L3lYR5HYLIv7RuJeQvPYF0JNgM/vGnJ87Vi+gsQvRszYiJw7HHMMK3jgBYCBXwa8qTI+0TJwQTEcn1dM5GbWEldZPFydr3gp4PPabOBLT/ZtjU97ehNaAFbek4qaRRR5IyIn4+6g3EzqNR9I0dHcR1pFHEhU4POus6ct20kcPFonJh5HCBeDxQBki6HDncuK86BFHjtfaGCvypMN5FHBKoUFz+NtFdEayCjiRKqxIkS+XF3SavnzdvHtasWYOffvoJ8fHx6Nq1Kx577DHNvnF6GuL58+fj3nvvBRDwXp86dSpef/11lJaWonfv3njuuec0chs9tm7dii1btuCTTz4JOXfeicOjjSRJwp88aAICjThr1iwcO3YMZWVl2Lx5s+J1xzAMwzC1FVnjVNmfGeTA09988w02bNgAr9eLfv36obi4WMlz7Ngxze/ll1+GxWLBn//8ZyXPpEmTsHbtWqxevRpbtmzB2bNnMXDgwLAGPRMnTsSIESNw7Ngx+P1+zS8WgyagCmecsrOzQ6bUGIZhGIapHRgFngZUxyyZ9957D7169ULLli0BBGIuvvTSS3j11VfRp08fAMDKlSuRlZWFzz77DP3796/QhlOnTuGee+6p0MmrujE943T48GH8+uuvyt//+te/MGnSJCxdulSTb/fu3cjKyqq8hQzDMAxT16kBm9WdG3j6XH777Td89NFHGDNmjJKWl5cHj8ejCU6dmZmJnJwcbN261fCe119/PTZu3Fg5w6OM6Rmn4cOH44477sCIESOQn5+Pvn37ol27dli5ciXy8/Px4IMPVoWdDMMwDFNnieZedefukBFOWB5R4OlzWbFiBZKSkpRtz4BAiCCn04kGDRpo8qanpytOXhVx0UUXYfr06diyZQvat28fspI1ceJEwzKijemB0+7du/GHP/wBAPDmm28iJycHX3/9NdavX4+77rrrvBk4WWEJiJiDYkG/RKMCUxGoRXMNANiIWC6BCA9BIl8nB8XdVNiYqIlKSwWLgcd02q9GyT7icyrHbR2qPalB0XSBYVhqVSjpNxKJkrx6U5QaoXPw1kUSrQONvE7E4QZmUtmn6N5GUb8BNYqzT6eeonJpfRKiKAg3g54w1ow1RgJ0ilFEcV17DAToeiJi0Xm9e9hE4owoaHKtAnv0BOOi9EjfF4osVK5P3pH6xAFFE7napmpLZIr86rfARnYfkNsy0kjxhlHyDcTj9N5G4vGQMioZcEhPtC87glCHGvq99gvu60CoYDxmROn2564GzZw5E7NmzarwGjnw9JYtW3TzvPzyy7j55psRFxdnaINRcGqZF198EfXq1cPmzZuxefNmzTmLxVI7Bk4ej0cZmX722WeKK2CbNm1w7Nix6FrHMAzDMExUOXz4MJKTk5W/jWab9AJPU7766ivs27cPb7zxhiY9IyMDbrcbp0+f1sw6HT9+PKwYiwcPHjTMU92Y1ji1a9cOS5YswVdffYUNGzZgwIABAICjR4+iYcOGUTeQYRiGYeo60QyAmZycrPnpDZyMAk9TXnrpJeTm5uKyyy7TpOfm5sLhcGiCUx87dgy7d+82FZza7XZj37598HpD94GsbkwPnB577DE8//zz6NmzJ2666Salkd5//31lCY9hGIZhmCgSA3H4uHHjsHLlSqxatUoJPJ2fn4/S0lJNvsLCQrz11lu47bbbQspISUnBmDFjMGXKFHz++efYtWsX/vrXv6J9+/aKl11FlJSUYMyYMUhISEC7du1w6NAhAAFt06OPPmquQlHC9MCpZ8+eOHnyJE6ePImXX35ZSb/jjjuwZMmSqBrHMAzDMExsWLx4MQoKCtCzZ080adJE+Z27HLd69WpIkoSbbrpJWM5TTz2FoUOHYtiwYbjqqquQkJCADz74ADabTZifMn36dPz73//Gpk2bNNqpPn36hNhRXUQUx0mSJOTl5eHnn3/G8OHDkZSUBKfTiYSEhGjbFzP8kDRCQDcRDdKIu1TQLUedpcJuikYobgtMNzpIWZqoteR+hVJgdH/Aqz6uA+5GynEjqxoeIi4otksiQ2JqOxULe4LJVASqJ4w1ElDbBBGAnZKxjFnOqycSNxrZ60VmpneWI717iEeKQ0+UKtAqaiIai4TQ1bz9k6h3hRN53QirTvsZoTzDCCOdhyUErqI2NhRAEyKJuK7Xjka+G3r9Pk4QJdtBopB7BF5XetH+y0leuR0074hAOK+xMZy2i1DkLXIiMLxG79sl+L55SNYCyaMci76VNs03OtQZqPqwoPIvgrnrpTCf3x133IE77rhD93xcXBwWLVqERYsWmbo/ALz77rt44403cOWVV2rE5G3btsXPP/9surxoYHrg9L///Q8DBgzAoUOHUF5ejr59+yIpKQnz589HWVkZzzoxDMMwTLSJQhymWDsFRsKJEyfQuHHjkPTi4uKwvPKqAtNLdXfffTc6duyI06dPIz4+Xkm/7rrr8Pnnn0fVOIZhGIZh6i6dOnXCRx99pPwtD5ZeeOEFdOnSJSY2mZ5x2rJlC77++ms4nU5NenZ2No4cORI1wxiGYRiGCVLHZpyuvvpqrFmzBvPmzcOAAQOwd+9eeL1ePP3009izZw+2bdsWEtepujA946S3sd6vv/6KpKSkqBjFMAzDMAxBskTnV0vYtGkT3G43unbtiq+//holJSW48MILsX79eqSnp2Pbtm3Izc2NiW2mZ5z69u2LhQsXKnvTWSwWnD17FjNnzsSf/vSnqBsYK8olP5ySGinWqRNd1q0ZwQeEmzYdAV45EUvL4kSHRrhI7kH+aXDCHxioHvakKWnFfjXuxv+86oA1IRg5ONlCIgjr2G5V/htGlHGRaNpAaJhgFUdYF0XfNRJgn4vIdq1YXUUWgsfpCE6N6kHxCGx3VrtINJRwBOpmoh5HIkAPpx+JxNLVLa6PlEgjcEd2r0ivIzbKj0NjtjiC93FvQHbR0Ka6mSeR6+hzKzMQDOtF6FdNiO60h+geRk4u9F2g/bpEInMJwXSRIB8AXDHS19RF2rdvjxUrVsTaDAXTA6ennnoKvXr1Qtu2bVFWVobhw4fjP//5D9LS0vD6669XhY0MwzAMU6eRpMqPOaM8Zq1yioqKDLdvoRHQqwvTA6fMzEx89913eP3117Fz5074/X6MGTMGN998s0YszjAMwzBMlKhjGicgsMGvHvJedyLpUFUTURyn+Ph4jB49GqNHj462PQzDMAzDnEs0NEq1SOMEAG+//TZSU1NjbUYIEQ2cXn31VTz//PM4cOAAtm3bhuzsbDz11FNo2bIlhgwZEm0bGYZhGIapY1x11VXCGE6xxvTAafHixXjwwQcxadIkPPLII8o0WYMGDbBw4cLzbuAkCwfLSFqZpEpni/xqWAZZkFjfqkbypdF3aVTeMinQ9B6LOs3osaqbF8aRKOKySPMC+xlSlvroZEE4AGQEowg7NEJzFSpmNxLlmhFNm7neZ2BDWEJnKTQvjQZM3UXNCNtl4aueaN9hIGI37aZaxdBnX+nnSese6Zx/hJeZiWQuEw0xt1GE72jaEElk8nNxClqK1uGwT9WDnPCqx5n20wC036sTfrU3l5HvjScooE4i351E8h0T1cNQMG4So7Yy8x7Sfh1H2q84+J2ntlNhvC8o4S8JY4eEaGCRAr/KlsFUHtPf+UWLFuGFF17AjBkzYLerL1PHjh3xww8/RNU4hmEYhmEQk01+Y0l2dnZYe9nFAtMzTgcPHkSHDh1C0l0uF4qLi6NiFMMwDMMwdZeDBw/G2gRdTM84tWjRAt99911I+ieffIK2bdtGwyaGYRiGYSh1LABmTcb0jNO9996LcePGoaysDJIk4V//+hdef/11zJs3Dy+++GJV2MgwDMMwdZs6GI6gpmJ64HTrrbfC6/Vi2rRpKCkpwfDhw3HBBRfg6aefxo033lgVNjIMwzAMw9QITA2cvF4vXnvtNQwaNAi33347Tp48Cb/fXyPdBSuLDxJ8kBSPC+rF4dfxonAHvTAKJdXTzimJg3O5g5taFPsdStpxn7pyWt+m+vHVtwbul21XvfXiLPnKcQrxxnMIvHjcxBOkqj3pwsEZha0K5NYp13FocRH3EaM6FZEyCqXAVjaydyKgXc+26njYhYtNp+6+Kgrpa7QWX1X+QEbbs4RzXyOPNCOPt3A82sx4vfkrucxB7yXyCvOEUYbVhFuUfA963zO+BOU4gXj/ylut0DbVq2+cxRuSRj2GzWyBEimV9V7V8+yl5SZZKg6sKJcRzhZRUaEOzjh5PB7069cPzz//fIXBMKsbU/3Pbrfjb3/7G8rLAy9cWlraeTloYhiGYZgaRR3zqgMAh8OB3bt3w1LD9gU0PXDv3Lkzdu3aVRW2MAzDMAzDKNxyyy146aWXYm2GBtMap7Fjx2LKlCn49ddfkZubi8TERM35Sy+9NGrGMQzDMAyDOrnlCgC43W68+OKL2LBhAzp27Bgy5liwYEG122R64HTDDTcAACZOnKikWSyWmG64xzAMwzDnM3U1cvju3btxxRVXAAD279+vOVfREp7ZPe4sFgt27tyJ7Oxsw7wRBcCsC/gkfdGf0ZYBNiJ9pWJOKraU83jIamkJEZV7fHRbF0/wGrWsdCIeT7KqecuDwnV3hGJjupVGdQjFIyUu2K4lOqJUkeCTCpLp1gln/HHKsUMgCNUTMovK1Vv71hOFV3S+qgTj4Qmzw7+36D0xuoeeKFtP8C3Kbywe1xHiC8syVi0YicON7PFJkUmabRa1NW0m+oT87Tnjiydlqdc3C26zokcceRcc5ImKROcUjxQqgg9nGyUzROrUINusdfaJrKxq316pDorDAWDjxo0RXXfmzBksXLgQKSkphnklScLYsWPDnvgxPXAKZzQWa5577jk8/vjjOHbsGNq1a4eFCxfij3/8Y6zNYhiGYRimmrjxxhvDdmCbMGFC2OWaHji9//77wnSLxYK4uDi0atUKLVq0MFts1HjjjTcwadIkPPfcc7jqqqvw/PPP45prrsHevXvRrFmzmNnFMAzDMIwx119/PZYvX47k5GRcf/31FeZds2aNMN3vNzcvWVRUFHZe0wOnoUOHKpomCtU5devWDe+++y4aNGhgtvhKs2DBAowZMwa33XYbAGDhwoX49NNPsXjxYsybN6/a7WEYhmGYymJBFDROUbGk6klJSVH0S+Estelx5MgRXHDBBRXmee2113DzzTebKtf0wGnDhg2YMWMG5syZgz/84Q8AgH/961/4xz/+gQceeAApKSm48847MXXq1Gp3IXS73cjLy8P999+vSe/Xrx+2bt0qvKa8vFyJSwUAhYWFVWojwzAMwzD6LFu2THhslr59++Lrr7/WncRZtWoVbr311qofON19991YunQpunbtqqT17t0bcXFxuOOOO7Bnzx4sXLgQo0ePNlt0pTl58iR8Ph/S09M16enp6cjPzxdeM2/ePMyePTsk3Y/wBIgOS6hoMpwoubIYlQpGy4g43Ap1MOcJPqbDXnXk7bD8phw7SSTfMoF4lIoY9SLmim2suUJx2R4aIbyEtKWD2C5H+Na0A6lPktWtHMcFnydtpyKJ5iXCf0Gb0Pb3kPOJiqBW3KbVKTSl99Lr47JtZkTiZu8hvI40KRXtigTJeu+ZnEffMUMKyUsdOsIRioeLniDcb+IeflKGHF3cSuzVK8sadBQ54UtW0i50HFeORd8ujYMFfYcEbS16xwDAI4W2r1kivU7GSPDtD6N8IycgWWldVdH3Q29XN8MRiDh9+jRWrlyJl156Cd99951uvsaNG2PAgAH44osvQsIYrF69GqNGjcJjjz1m+v6mvxA///wzkpOTQ9KTk5Nx4MABAEDr1q1x8uRJ08ZEi3NdFOUlRBHTp09HQUGB8jt8+HB1mMgwDMMw4VMHI4efy2effYabbroJmZmZmD9/Pnr06FFh/g8//BA+nw9DhgyBx6NuavTmm2/illtuwdy5c3HPPfeYtsP0jFNubi7uvfdevPLKK2jUqBEA4MSJE5g2bRo6deoEAPjPf/6Dpk2bmjamsqSlpcFms4XMLh0/fjxkFkrG5XLB5XJVh3kMwzAMw5jg0KFDWLZsGZYtW4azZ8/i9OnTePPNN/HnP//Z8Np69erhk08+Qffu3XHjjTfi7bffxttvv42//vWvePjhhzF16tSIbDI94/TSSy/h4MGDaNq0KVq1aoXWrVujadOm+OWXX/Diiy8CAM6ePYsHHnggIoMqg9PpRG5uLjZs2KBJ37Bhg2ZpkWEYhmFqFXVsxunNN99Ev379cMkll2D37t14+umncfToUVitVlxyySVhl9OoUSOsX78eO3bsQJ8+ffDXv/4VM2fOxH333RexbaZnnC6++GL8+OOP+PTTT7F//35IkoQ2bdqgb9++sFoD47ChQ4dGbFBlmTx5MkaMGIGOHTuiS5cuWLp0KQ4dOoS77rorZjYxDMMwTGWoa5HDhw8fjmnTpuGdd95BUlJSRGV8//33yvHjjz+OW265Bddddx0GDRqkOWd2qzjTAycgoCEaMGAAevbsCZfLVaN2Lr7hhhtw6tQpPPTQQzh27BhycnLw8ccfmw7c6YdFV4hKjxMt6rppMRwVlikSPNKowHEWtzBdxkFE4B5JjRZeJnlC8oaDLIAOJ6pvpCLhqobaHkdkmlSYLUvu6fRqEhUha74mgRPhRF73CNrEphHJqse/eAPRyYv96rJwfVupcpxMnn2CVXYyCEPAapijcteLBPCAVhAr6j9aEbyg3DDa1y8olwqS9QTEoujaPp1vlKh+NEq2Jlq4peL7WgWtqS9gr1hSbCQqp4Jwag+9zhlMTrSqjiZx5BtCbZOF0Hr2GvUT6kzhEQiQqRhbT4Cudd4wT6QRwCMuL9inwhGaM+YZPXo0nnvuOWzevBkjRozADTfcYDrE0eWXX64JlSRJEt5880289dZbSkilSLaKMz1w8vv9mDNnDpYsWYLffvsN+/fvR8uWLfHAAw+gefPmGDNmjNkio87YsWMxduzYWJvBMAzDMNGhjm25snTpUjz99NN488038fLLL2PSpEno378/JEkKO7hlVW0RZ/ofrI888giWL1+O+fPnw+lU3efbt2+vaJwYhmEYhokidUzjBADx8fEYOXIkNm/ejB9++AFt27ZFeno6rrrqKgwfPlw3ajgQWKbLyspCdna24Q8A9uzZA6/Xq1sexfTA6ZVXXsHSpUtx8803w2ZTJ+EvvfRS/PTTT2aLYxiGYRjGAFnjVNmfGebNm4dOnTohKSkJjRs3xtChQ7Fv376QfD/++CMGDx6MlJQUJCUl4corr8ShQ4eU8+Xl5ZgwYQLS0tKQmJiIwYMH49dffzVlS+vWrTFv3jwcPnwYK1euRElJCW666Sbd/B06dMCpU6fCLr9Lly4amyvC9FLdkSNH0KpVq5B0v9+viZPAMAzDMEztZfPmzRg3bhw6deoEr9eLGTNmoF+/fti7d68SUPLnn39Gt27dMGbMGMyePRspKSn48ccfERcXp5QzadIkfPDBB1i9ejUaNmyIKVOmYODAgcjLy9NMwISD1WrFoEGDMGjQIBw/flw3nyRJeOCBB5CQkBBWuW632zhTENMDp3bt2uGrr74KEVu/9dZb6NChg9niaiweyQKPZFHFixaxUDzOQiMOB6b5ivzqEiYVmtLoxM6g/JGKwG1WVSzsJuJvT1BeS0WeCdbwB6lGq8FUBFmdEayjjVVzTEXE2v8CxlG7neR5OwXi8UB5Ff/zjQqZM4NC8HJrmZJWSCLF/+xNVY4Tg0LxDNtZtSxig0OjRbXo1iEcbAaOHT4dEbcZUbmo/1FBuV470s+pT5hF5zqBiJv2B6OI5BpEybqPXVBTi05LkTKMomTrCcGVNE1kcbXVZGE7dUg4449Xjmn/UtpE5ztHaybboCeedgt6R5zA2QXQ9iOPoG4iofm5tokwatPKRiYHVCcEPRujTgwih69bt07z97Jly9C4cWPk5eWhe/fuAIAZM2bgT3/6E+bPn6/ka9mypXJcUFCAl156Ca+++ir69OkDAFi5ciWysrLw2WefoX///pHWBo0bN9Y91717d+HsmB5dunRBfHy8cUZEMHCaOXMmRowYgSNHjsDv92PNmjXYt28fXnnlFXz44Ydmi2MYhmEYxogaIA4vKCgAAKSmBv6h5/f78dFHH2HatGno378/du3ahRYtWmD69OlKWKK8vDx4PB7069dPKSczMxM5OTnYunVrpQZOFbFp06YqKReI4B+qgwYNwhtvvIGPP/4YFosFDz74IH788Ud88MEH6Nu3b1XYyDAMwzBMlCgsLNT86Eb3ekiShMmTJ6Nbt27IyckBENiV4+zZs3j00UcxYMAArF+/Htdddx2uv/56bN68GQCQn58Pp9MZEkqgoj1kazoRxXHq379/lY0SGYZhGIbREs0AmFlZWZr0mTNnYtasWRVeO378eHz//ffYsmWLkiaHBRgyZIiy59vll1+OrVu3YsmSJRXuJVfRHrI1nYgGTgzDMAzDVCNRXKo7fPgwkpOTlWSj/VonTJiA999/H19++aVmH9q0tDTY7Xa0bdtWk/+SSy5RBlgZGRlwu904ffq0Ztbp+PHjYW+FdubMGbz99tv4+eefce+99yI1NRU7d+5Eeno6LrjggrDKiCZhDZwaNGgQ9sjw999/r5RBNYViyQGLZFUE3VqRNxXqhgrFS8j5IiLMdBB5siz4pNHAyyQ18jiNDC6LO5OIsNgJKkqP3qg9koi91YWRIJSiEZ0KLqNRv2leWRRO08ILtRZALGJWBcsJpL+4JHV6vCER/hcHnz0V2boMngytj1HEcU2E5jAieFcWkR5AE3k8nP4r+Kd2pOJxiL5lYbSD/J5ZiS1+HbGtT47wTc7rvaeyuDucaOBylGqfjsqC5pW/J/Rb8lN5E+W4fvwB5Viuk1MiT0bnmy+LwjU2kmMPsUF1rgm9HgBKSD3odXJ51HYjhxhqg/5zEYjrddpSrwwZuc2KJTNfiJpBcnKyZuCkhyRJmDBhAtauXYtNmzahRYsWmvNOpxOdOnUKEWHv379fcSDLzc2Fw+HAhg0bMGzYMADAsWPHsHv3bo2gXI/vv/8effr0QUpKCn755RfcfvvtSE1Nxdq1a/G///0Pr7zySrjVjhphDZwWLlyoHJ86dQqPPPII+vfvjy5dugAAtm3bhk8//TQmG/syDMMwzHlPFJbqzM5YjRs3DqtWrcJ7772HpKQkRZOUkpKieKDde++9uOGGG9C9e3f06tUL69atwwcffKCIs1NSUjBmzBhMmTIFDRs2RGpqKqZOnYr27dsrXnYVMXnyZIwaNQrz58/X7Fl3zTXXYPjw4eYqFCXCGjiNHDlSOf7zn/+Mhx56COPHj1fSJk6ciGeffRafffaZss7JMAzDMEyUiIFX3eLFiwEAPXv21KQvW7YMo0aNAgBcd911WLJkCebNm4eJEyfi4osvxjvvvINu3bop+Z966inY7XYMGzYMpaWl6N27N5YvXx5WDKft27fj+eefD0m/4IILYiYuN61x+vTTT/HYY4+FpPfv3x/3339/VIxiGIZhGCa2SGEu5Y8ePRqjR4/WPR8XF4dFixZh0aJFpm2Ii4tDYWFhSPq+ffvQqFEj0+VFA9PhCBo2bIi1a9eGpL/77rto2LBhVIxiGIZhGIZQB/eqAwIeew899JCyM4nFYsGhQ4dw//33489//nNMbDI94zR79myMGTMGmzZtUjRO33zzDdatW3debfJb6nfA6rfBGpSxOi2qONdhoUJd9VgWN+b7UtSzRGDY0FasHJ/xB8LA0wjhcRZV/EgjisuicBo5XC8qsgi9CL+ismoyRhJMqyYatYpIVE7/xSCOYh1+m1Bxs15EbD3RuAjZyYA+N49G+EqjoocWrBuJW4moLSYskXYFVGXUeZsiiq64boC5tha9G3qiZ1ksrD1vDTlP82iF3RWLv/065YrK8BmI0in0u/IriVD/Xbnqkt7SEdi6or6NOKAQ0TN1gpHb2i2Jnzh935KsoZumlkjq/3ZoOxT51S06ZJvpt5a2r1/nGalpFT8XTV6dZ1TRNYAaObzUXz0uNdEMR1CbeOKJJ/CnP/0JjRs3RmlpKXr06IH8/Hx06dIFc+bMiYlNpgdOo0aNwiWXXIJnnnkGa9asgSRJaNu2Lb7++mt07ty5KmxkGIZhGKYOkpycjC1btuCLL77Azp074ff7ccUVV4QlLK8qIorj1LlzZ7z22mvRtoVhGIZhGCaEq6++GldffXWszQAQ5uy6SJhVEUVFRREZwzAMwzCMgDqqcZo4cSKeeeaZkPRnn30WkyZNqn6DEObAqUGDBjh+/HjYhV5wwQU4cOCAcUaGYRiGYQyRNU6V/dU23nnnHVx11VUh6V27dsXbb78dA4vCXKqTJAkvvvgi6tWrF1ahsvq9NlMiOQHJpkQO9xBJbRyIiJsM4d3BWMZWImN2WMURvuMs7uB/xfePs4SKKn2CyLoA4BD8M4LaRcWYFKvBW2QUOVdjWzULzMWCbx3hcDCdXkOF5FRsrbQwFcPqiUPlSNIkzWGhkZDpsw+1zUkiMxeT0yLBMk2jwliriWYXRVCnbeIx+OeoGfG3rXq7g6EgXCvyFqeL84YKi2k0a/0I34Fj6vxhJP6m5WrtoUJna0iaHiIBeZpdXQ34tqilcrzTEojy3DlJ/Qdv17hDxHYVObK93g4KNK9sZYFf/QYVkx0SKLSt5B0VrBpBvRihaN9AlC+Kxn4uPkWIX3Fbl1STOLyucurUKaSkpISkJycn4+TJkzGwKMyBU7NmzfDCCy+EXWhGRgYcDvHLwTAMwzBMBNTCGaPK0qpVK6xbt04TdBsAPvnkE7Rs2VLnqqolrIHTL7/8UsVmMAzDMAyjSwwih9cEJk+ejPHjx+PEiROKOPzzzz/Hk08+qdkOrjqJyKuOYRiGYRimqhk9ejTKy8sxZ84cPPzwwwCA5s2bY/HixbjllltiYhMPnBiGYRimhlNXA2ACwN/+9jf87W9/w4kTJxAfHx+23rqq4IETwzAMw9R06uhSHSVWe9OdCw+cdCj2uyD5Va86GxmqeyzE+8Om+pDInnAZdjXuFfXKEXmxlRFvE7rNCvVYkcul18dZxBuQyNd5yH3P+OOV4wSrWzl2SgFvED2POCPPHSOvu2rfyoU0r9aDLnDsJH451APPidCtJfT27E4gz94TvM6q53VHvOacwf9S7zq91i0OekE6dJ6xhih+CEWeihFfp1OUkRdgpDZQRP1Oz5NOPtbblkO0dQc979HZPkTxlCM9iXpnaT3zgluuaLxmqdcd3WpEsCWIgdcXhW5h0jbhqHL8c1ljAMAXZy5R0kqSncpxp7hflOMEa6CMRNLM1IIC0tZFwXrSb5Bbx3vQI3jr9L4xWm9F2dNQz6su9Hnqet0J7ifyaqSwV13V8/bbb+PNN9/EoUOH4Ha7Ned27txZ7fZU5fZSDMMwDMNEgboax+mZZ57BrbfeisaNG2PXrl34wx/+gIYNG+LAgQO45pprYmJTRAOnr776Cn/961/RpUsXHDlyBADw6quvYsuWLVE1jmEYhmEY1NnI4c899xyWLl2KZ599Fk6nE9OmTcOGDRswceJEFBQUxMQm0wOnd955B/3790d8fDx27dqF8vJyAIFtVubOnRt1AxmGYRimzlNHB06HDh1C165dAQDx8fHKlm4jRozA66+/HhObTA+cHnnkESxZsgQvvPCCJshl165dY7LWyDAMwzDM+UlGRgZOnToFAMjOzsY333wDADh48CAkKTYjQdPi8H379qF79+4h6cnJyThz5kw0bKoRlEpOwG9Xtk+h4nC3JVTYCQANrcUAjLcyAUBE56oAuNjvUo6L/HHKcSNbYITd2FaipFGxKxXcygLJX7z1VXuJgJWKw90GYkzhdhQ6QlShaDUMcbgZYasZaLs6giJ4D9kOJQ5ekjdUsE23sXEQkTcVgsvH5VIYIm75XjptUuJXn0WxPyDKjbMSG0G3b6lcmxk5LJjFBhP1N/jQGdkTqXhcry8Kt+sQCMJpHr0+KxIk62/9ESo4FgmewylXY4Ogb9DnQ9+LOKu6dVSb+GMAgLyi5kra1wWtlOMU8u3JdcmicrVtqCOEm6SXCbZ7KiNbrlCRPLXHp2wtI8bMNiq0TTwCe3yS3rMP3d5GJNQvryYnmLoajuDqq6/GBx98gCuuuAJjxozBPffcg7fffhs7duzA9ddfHxObTH+BmzRpgv/+978h6Vu2bKmy8Oe//PILxowZgxYtWiA+Ph4XXnghZs6cGaKuP3ToEAYNGoTExESkpaVh4sSJIXkYhmEYptZRR5fqli5dihkzZgAA7rrrLixfvhyXXHIJZs+ejcWLF8fEJtMzTnfeeSfuvvtuvPzyy7BYLDh69Ci2bduGqVOn4sEHH6wKG/HTTz/B7/fj+eefR6tWrbB7927cfvvtKC4uxhNPPAEA8Pl8uPbaa9GoUSNs2bIFp06dwsiRIyFJEhYtWlQldjEMwzAME12uv/56LF++HMnJyVi5ciVuuOEG2O2B4cqwYcMwbNiwmNpneuA0bdo0FBQUoFevXigrK0P37t3hcrkwderUkE34osWAAQMwYMAA5e+WLVti3759WLx4sTJwWr9+Pfbu3YvDhw8jMzMTAPDkk09i1KhRmDNnDpKTk6vENoZhGIapcupQAMwPP/wQxcXFSE5Oxq233ooBAwagcePGsTZLIaIAmHPmzMGMGTOwd+9e+P1+tG3bttpDoBcUFCA1NVX5e9u2bcjJyVEGTQDQv39/lJeXIy8vD7169RKWU15erngGAkBhYaEwH8MwDMPEirqkcWrTpg2mT5+OXr16QZIkvPnmm7qTH7HYry7iyOEJCQno2LFjNG0Jm59//hmLFi3Ck08+qaTl5+cjPT1dk69BgwZwOp3Iz8/XLWvevHmYPXt2SLpHssEu2aDEkCYdzkGjRxOxoSMoZYyzqCJHKoSk6bJIk56nyIJwAEi2BgZ2biJJ04hkDQS3iVZ1YCiKxKsXyVckwKToiTHVa4xFtKJ7RQOrFCqIjUOo+BQAbKR96gejIjuIkJwKwsuJXLUseA8Paf4yTXRo9ViOAq4X8Z1GCXcGozvT66nIlgp8zYjrhW0cxQ+p1YRInELro2ePkSi8siJ3I6cIQG1ro/ci2vgFEbH1BewVR7m2UqcJEkXcGdydINGuvgvHy5OUY/qdiwsKwWnpxX767G3kyB+0S7WxiEQRp2JrKg43cjYx8+0RvSNGgnBA/S4aCfU9MfLsOp9ZsmQJJk+ejI8++ggWiwX/+Mc/YLGEPmeLxVJzB05mlOtr1qwJO++sWbOEgxbK9u3bNQO0o0ePYsCAAfjLX/6C2267TZNX1LCSJAnTZaZPn47JkycrfxcWFiIrKyvcKjAMwzBM1VOHluq6du2qhB2wWq3Yv39/7VuqS0lJUY4lScLatWuRkpKiDGjy8vJw5swZ066B48ePx4033lhhnubNmyvHR48eRa9evdClSxcsXbpUky8jIwPffvutJu306dPweDwhM1EUl8sFl8ule55hGIZhYk1dWqqT8Xq9uOWWWzRymppAWAOnZcuWKcf33Xcfhg0bhiVLlsBmC0xl+nw+jB071rQAOy0tDWlpaWHlPXLkCHr16oXc3FwsW7YMVqt2+rVLly6YM2cOjh07hiZNmgAICMZdLhdyc3NN2cUwDMMwTGyx2+145513MGvWrFibosG0sOTll1/G1KlTlUETANhsNkyePBkvv/xyVI2TOXr0KHr27ImsrCw88cQTOHHiBPLz8zXapX79+qFt27YYMWIEdu3ahc8//xxTp07F7bffzh51DMMwTO2mjsZx6t27NzZt2hRrMzSYFod7vV78+OOPuPjiizXpP/74I/z+yMShRqxfvx7//e9/8d///hdNmzbVnJNDrttsNnz00UcYO3YsrrrqKsTHx2P48OFKuAKzuCU7bIIos/I5GVlUCQAlVlcwTRVd+jVRdFUhuBqxmAiA/UQoToa0yQhMU1KxsCqjFAtnrTTyNRE0i4TgemJXYcRiA9ElLU9PgKnJKxJu6kTqNYJGAKfRkmVBrMdCBa5qYFQaRbxMChyf8dP70nLVY9nOYvJcS4JRvwPn1TIS5fuRyO20LI9AlKrnOKCJIm5KHB5+W1Y2OrkewijjJj7m1jAy2wQCfDMRx40E3+FEqBYKyU30ZX3bguWSsqhwm9ouerdAo5MTBwjZTC+JYE/bur6tWDl2y99cUh0PuW8J+Y4d9yUF01Q5hIN8M+vb1CUY0XdKr8+K+qdulHZBu+sJwo3LFQj1q2j3gxDqkMaJcs0112D69OnYvXs3cnNzkZiYqDk/ePDgarfJ9MDp1ltvxejRo/Hf//4XV155JQDgm2++waOPPopbb7016gYCwKhRozBq1CjDfM2aNcOHH35YJTYwDMMwTKywAJX24ayezWGiy9/+9jcAwIIFC0LOWSwW+Hx6G/NUHaYHTk888QQyMjLw1FNP4dixwP5GTZo0wbRp0zBlypSoG8gwDMMwTN2kqlayKoPpgZPVasW0adMwbdo0JVgka4gYhmEYpgqpo0t1NZGIA2ACPGBiGIZhmOqgLoYjAICHHnqowvNVtUduRZgeOLVo0aLCgJIHDhyolEE1Bb9k0Y3Ie24+mRPegBDSR1STmqjdZIW5MBg9t8inRtH93aeK3lKJGFMuQytMrni1mkYpNxJ/hyPANBK7isSWeiJvYVRgAwGmWWyCCMkeItp3W8TR0j0CwadeVHO5LamIWxNJnohglWdHZp1p5GYaGVwur0RSBbXUcSCB9Cm5nuHYa4ZoCJmVsqJgj1BUbnSNzv8lIo1wLkK3bwicP/REyHJeWpaHiLg1z1ZQLn2n6XV+QV+m7wWNIi5f97snQUlLcZSq15E2+z3YF2m0e9p/C/1xyvFRTwMA2j7b0KaWSxE5Qxi1rx5GzijhfJtE30ef4BlWlSMFE2Dt2rWavz0eDw4ePAi73Y4LL7ywdgycJk2apPnb4/Fg165dWLduHe69995o2cUwDMMwjEwMlurmzZuHNWvW4KeffkJ8fDy6du2Kxx57TONVP2rUKKxYsUJzXefOnZXI30BgT9ipU6fi9ddfR2lpKXr37o3nnnsuxEtexK5du0LSCgsLMWrUKFx33XXmKhQlTA+c7r77bmH6P//5T+zYsaPSBjEMwzAMI6Cal9o2b96McePGoVOnTvB6vZgxYwb69euHvXv3asICDBgwQBMo2+l0asqZNGkSPvjgA6xevRoNGzbElClTMHDgQOTl5WliQoZLcnIyHnroIQwcOBAjRoyIvIIRUimNE0WOtUAbj2EYhmGY2sm6des0fy9btgyNGzdGXl4eunfvrqS7XC5kZGQIyygoKMBLL72EV199FX369AEArFy5EllZWfjss8/Qv3//iGw7c+YMCgoKIrq2skRt4PT2228jNTU1WsUxDMMwDBOkJojD5YHKuf+v37RpExo3boz69eujR48emDNnjrIpb15eHjweD/r166fkz8zMRE5ODrZu3Wo4cHrmmWc0f0uShGPHjuHVV1/FgAEDKlehCDE9cOrQoYNGHC5JEvLz83HixAk899xzUTUulvhhhQ9WcfTdc/LJ+PyhYkyf/azwugJfQIT5u7eeknbSox6nxqvicFk0GU7EYiNEYutwohurEYsrFrjqlasndhVFQtYX1JqIIk4jpwdF2lSMTY/pPcokZ9BGsT1U/C0LZvXa30EF6Fa5fDtJEn/FPAhcR6O8y44HAJBqV+8nR0DXa7NIEUdQDr/9oyFQjyZ6gnA9AblyXnBdOO+b0fsgjMqv826J3g2RCPzcY5G42U+us0r+kOuS7GVKWtuEo4KaAWf88SFp1J5Ccl62l7YzdXQw6rfmvm3G/TMSxxS9Z1FRWpUQRY2THEpIJpzN7iVJwuTJk9GtWzfk5OQo6ddccw3+8pe/IDs7GwcPHsQDDzyAq6++Gnl5eXC5XMjPz4fT6USDBg005aWnp2u2TdPjqaee0vxttVrRqFEjjBw5EtOnTze8viowPXAaMmSIZuAkV6Jnz55o06ZNVI1jGIZhGCa6ZGVlaf6eOXOm4Ua648ePx/fff48tW7Zo0m+44QblOCcnBx07dkR2djY++ugjXH/99brlSZJUoYe+zMGDBw3zVDemB041bZdihmEYhjnfieZS3eHDhzVxGI1mmyZMmID3338fX375paEnXJMmTZCdnY3//Oc/AICMjAy43W6cPn1aM+t0/PhxdO3a1XQd/ve//6G4uBht2rSB1RqbmW3Td7XZbDh+/HhI+qlTpyJSxzMMwzAMY4AUpR8CXmn0pzdwkiQJ48ePx5o1a/DFF1+gRYsWhmaeOnUKhw8fRpMmTQAAubm5cDgc2LBhg5Ln2LFj2L17d4UDpxUrVmDhwoWatDvuuAMtW7ZE+/btkZOTg8OHDxvaUxWYHjhJknjIW15eHuKCyDAMwzBM5ZFnnCr7M8O4ceOwcuVKrFq1CklJScjPz0d+fj5KSwNBTM+ePYupU6di27Zt+OWXX7Bp0yYMGjQIaWlpSoyllJQUjBkzBlOmTMHnn3+OXbt24a9//Svat2+veNmJWLJkCVJSUpS/161bh2XLluGVV17B9u3bUb9+fcyePdt8Q0aBsJfqZGW7xWLBiy++iHr1VCGzz+fDl19+eV5pnDySDTbJ3AyaT5Cfir9pZNwSf2CQWeBVI/U2cKiC8PokcnhRUGypJ6oUoRdp2Yzo14yQUpTHSOAaSJfzWkLSAH1RuZENVHjtsFYsDqf3sAU3lHQTEbeR+FNfHK7eoygYyV0U0RzQPi+5vN+9apwU2ZkAAJJsqoAXCBWz64mQRVB7KGbaWpQ32tGUoynAtQr+7xFJZPJwCKcdRNHA9ZwijN4Xn+DdMdN29Um08ASrWznO99Yn6eUh96XfNmpDkjU0SnixX53dMBLMR4qZHQeMxN9GAnZvLdzGJFwWL14MAOjZs6cmfdmyZRg1ahRsNht++OEHvPLKKzhz5gyaNGmCXr164Y033kBSkurQ8tRTT8Fut2PYsGFKAMzly5dXuEq1f/9+dOzYUfn7vffew+DBg3HzzTcDAObOnYtbb701irUNn7AHTrKyXZIkLFmyRFNhp9OJ5s2bY8mSJdG3kGEYhmHqOjGIHK63wiQTHx+PTz/91LCcuLg4LFq0CIsWLQr73qWlpRod1tatWzF69Gjl75YtW4bllVcVhD1wkpXtvXr1wpo1a0JcCxmGYRiGqSJiMHCKJdnZ2cjLy0N2djZOnjyJPXv2oFu3bsr5/Px8zVJedWLaq27jxo1VYQfDMAzDMAwA4JZbbsG4ceOwZ88efPHFF2jTpg1yc3OV81u3btXEk6pOwho4TZ48GQ8//DASExMxefLkCvMuWLAgKoYxDMMwDBOgJkQOr07uu+8+lJSUYM2aNcjIyMBbb72lOf/111/jpptuioltYQ2cdu3aBY8nIG7duXNnWEGrGIZhGIaJEnVsqc5qteLhhx/Gww8/LDx/7kCqOglr4ESX5zZt2lRVttQoyv12WIgXG8Wq44kkb/PhIWl6WyPIHlXNXKeUNOqBIm/9AQAlvsAx9fSKFJH3lh5GHibavCLPKh3PH5GXkMG2B+faY8ZryxF8BnoebeUW9TnLzyscrxwznj8ua9Crjny5ZO+kc+2RbThJtlmpRzzpRJ5T4WzXIaPxKtP5kBptJ2P0LPS2fTHaNifS7WIi3Y5HhN77HU2M3he9vKJtVIzeEb+OxyV1JJT7Ef1eyZ6/gLbPeATew9Tjl+ZVtpPxh7+dTDhURz8J9xmVGQiomegxduxYPPTQQ0hLS4upHaZ73+jRo1FUVBSSXlxcrFG8MwzDMAwTHSySFJVfbWblypUh++zFAtMDpxUrVijBryilpaV45ZVXomIUwzAMwzCEKEYOr60YhUeoLsJe+yksLIQkSZAkCUVFRYiLi1PO+Xw+fPzxx2jcuHGVGMkwDMMwTN3C5/Nhy5YtuPTSS2tUCKSwB07169eHxWKBxWLBRRddFHLeYrHELPw5wzAMw5zP1DWvOiCwN27//v3x448/okGDBkKZUCwIe+C0ceNGSJKEq6++Gu+88w5SU1OVc06nE9nZ2cjMzKwSI2NBud8B6IjDqciYbu3hD6ZbiYBQb5sPhyWwDQgVR9JtNegWBkbbLBgRDbGr0f2MtkvQE7Aq53UEo9otGUKvC2c7iXJLoJvbyFfDCrFQ3Mgezb1NrHTLAn8qnC2yqLO2tE/JeUt9qjg3IU7d/oL2E7lPRLs/GAmojbYBoQhFtjr2GgnuzWylUZvR63NiIX7F/VOzHQ/Na1W/MYWeQF+0W9V3oYRsjULfkbNSIC/tR7S/0HdLJDrXcxQR1iGM522mT1TFVi7lvmrqk3XMq06mffv2OHDgQFgbDFcXYQ+cevToASAQQTwrKwtWa934gDEMwzBMrKmLM04AMGfOHEydOhUPP/wwcnNzkZiYqDlPt2WpLkz7t2dnZwMASkpKcOjQIbjdbs35Sy+9NDqWMQzDMAxTpxkwYAAAYPDgwZoYkpIkwWKxwOcLXTGoakwPnE6cOIFbb70Vn3zyifB8LCrBMAzDMOc1dXSpriZu82Z64DRp0iScPn0a33zzDXr16oW1a9fit99+wyOPPIInn3yyKmxkGIZhmDpNXV2qk2VCNQnTA6cvvvgC7733Hjp16gSr1Yrs7Gz07dsXycnJmDdvHq699tqqsLPaKfU74deLHA6xuFYW/toMzuthHI25dmx1IxJNi4TdgLhO4YhH5esijSBMha1Gz0V0X/1yKy5LI6I1EGkn2tXI4jSKM8WMMNamOC9IIWnAOVGjg8L0FLsas43aG2k0a+V8GBHJNekGQny9/hUu0X63zPQpMxjZaRzBXz0u9qnPuygoDm/sUr2WaDTwMhBnFcE7KUfGBwAbibUj39vjV/9XY6afaOthrs8I85oPXWhIub92fJdrOzVJHmS6FxUXFyvxmlJTU3HixAkAAeX7zp07o2udgPLyclx++eWwWCz47rvvNOcOHTqEQYMGITExEWlpaZg4cWJIIzMMwzBMraOOBsA8ceIEBg4ciKSkJLRr1w4dOnTQ/GKB6YHTxRdfjH379gEALr/8cjz//PM4cuQIlixZgiZNmkTdwHOZNm2aMOyBz+fDtddei+LiYmzZsgWrV6/GO++8gylTplS5TQzDMAxT1cjLdZH+aiNUHhQfH49169ZhxYoVaN26Nd5///2Y2BSRxunYsWMAgJkzZ6J///547bXX4HQ6sXz58mjbp+GTTz7B+vXr8c4774SI09evX4+9e/fi8OHDysDqySefxKhRozBnzpyYuCwyDMMwDBM5NVEeZHrgdPPNNyvHHTp0wC+//IKffvoJzZo1q9Idi3/77TfcfvvtePfdd5GQkBByftu2bcjJydHMRvXv3x/l5eXIy8tDr169hOWWl5ejvFzVktSEDQQZhmEYRoMkBX6VLaOWIZIHXXTRRdUmDxJheuB0LgkJCbjiiiuiYYsukiRh1KhRuOuuu9CxY0f88ssvIXny8/ORnp6uSWvQoAGcTify8/N1y543b55wq5gijwvlHrEgV49oROgWIRJ8VtW9ookZ4bZeRF99UbmZCMoGgu5KLvzrCYFFz0gbvVx8ncheLxFuU4xE0aJo6dReWi4ty2UNRLYv03GQEDkyhCPsNor+rtdnRE4CkQilzVLZSNN6VLbP6WHG3lKf+mzPKt+6JCWN9t94myr+lvsMdZKhIm+Nw4E/kNfszgBGTiMU4+jj4e+4oOcAURFuT/UEg66rXnWyPKh58+aKPKh58+bVJg8SEdbAafLkyWEXuGDBgrDzzpo1y3B/u+3bt2Pr1q0oLCzE9OnTK8xLg2PJyEGy9Jg+fbqmfoWFhcjKyjKwnGEYhmGYqiaW8iA9who47dq1K6zCKhqgiBg/fjxuvPHGCvM0b94cjzzyCL755hu4XC7NuY4dO+Lmm2/GihUrkJGRgW+//VZz/vTp0/B4PCEzURSXyxVSLsMwDMPUKOpoAMxYyYMqIqyBU1VF7kxLSwur4s888wweeeQR5e+jR4+if//+eOONN9C5c2cAQJcuXTBnzhwcO3ZMmb5bv349XC4XcnNzq8R+hmEYhqkOLP7Ar7Jl1FbcbjcOHjyICy+8sMrlQUZUWuNUHTRr1kzzd7169QAAF154IZo2bQoA6NevH9q2bYsRI0bg8ccfx++//46pU6fi9ttvZ486hmEYpnZTR2ecSkpKMGHCBKxYsQIAsH//frRs2RITJ05EZmYm7r///mq3qVYMnMLBZrPho48+wtixY3HVVVchPj4ew4cPxxNPPBFReYXeeDg8zhohwjYSh0capVgWTUYjcnY0IyXriowNxJqRisMjRSTwNRKKW3XE4aLrSqE6J5T7wxetGvUNN4niTAW5VAAst2W5JfxPhJ4IVy9ytSivGScBvXYwFI1Xsj/UlijjRpQRcbg7KOL2kjYtJ/2ERpX3BvN6SN5ke5lyrHE+UMTh4j6g9+zNPG9Rubp5gveQ7ToXuzV0r1Wj75HHKy6LiQ7Tp0/Hv//9b2zatEnZ8BcA+vTpg5kzZ/LAKVyaN28OSeBW2axZM3z44YcxsIhhGIZhqo666lX37rvv4o033sCVV16p0VG3bdsWP//8c0xsqpUDJ4ZhGIapU9TROE4nTpxQ4jhRiouLTTukRYvqCUDBMAzDMAxjkk6dOuGjjz5S/pYHSy+88AK6dOkSE5t4xolhGIZhajh1dalu3rx5GDBgAPbu3Quv14unn34ae/bswbZt27B58+aY2MQDJx3Oepxw6EQOj5WYU4/KirvDud5IeKkRPQePoyE69xtEEw6njKpGXxBecZvoicNlcbc3wsjXRqJzNxHGOokYlkaSLkVoxHCbwfOMdpR3M9Gjq1oQHs49qopIvzci5wXaDmfK45RjOcK3X3IraaU+8fdP7pdUXF7oiVeO7QYONWacOML5Lojax+hZef3GDgly+9HyReV6PCFJVUMd9arr2rUrvv76azzxxBO48MILsX79elxxxRXYtm0b2rdvHxObeODEMAzDMEyNpX379ko4gpoAD5wYhmEYpoZTV5fqaiI8cGIYhmGYmk4d86qzWq2GXnMWiwVer7eaLFJhrzqGYRiGYUKYN28eOnXqhKSkJDRu3BhDhw7Fvn37dPPfeeedsFgsWLhwoSa9vLwcEyZMQFpaGhITEzF48GD8+uuvFd577dq1WLNmjfA3depUuFwuOByhWszqgGecdDjrccLuEW/+S0WXFhNzn0Yiz2iIziMRSkYDoRA6DCVipILQygrFoynwD6csc+JwMxHJBXkNxOGUkmqOehzp8zbKazZPJEQz4ng0Bd+a8wZ9h4qiS4jzi5yH2kjF3xRZHO722ULSzi1DhJnnHc75SNqSliWRY1oPOd1i8G56q0kcHoulus2bN2PcuHHo1KkTvF4vZsyYgX79+mHv3r1ITEzU5H333Xfx7bffIjMzM6ScSZMm4YMPPsDq1avRsGFDTJkyBQMHDkReXh5sNvE3aMiQISFpP/30E6ZPn44PPvgAN998Mx5++GFzFYoSPHBiGIZhmJpODLzq1q1bp/l72bJlaNy4MfLy8tC9e3cl/ciRIxg/fjw+/fRTXHvttZprCgoK8NJLL+HVV19Fnz59AAArV65EVlYWPvvsM/Tv39/QjqNHj2LmzJlYsWIF+vfvj++++w45OTnmKhNFeKmOYRiGYWo48oxTZX8AUFhYqPmVl5eHZUNBQQEAIDU1VUnz+/0YMWIE7r33XrRr1y7kmry8PHg8HvTr109Jy8zMRE5ODrZu3Wp4v/vuuw+tWrXCnj178Pnnn+ODDz6I6aAJ4IETwzAMw9QpsrKykJKSovzmzZtneI0kSZg8eTK6deumGbg89thjsNvtmDhxovC6/Px8OJ1ONGjQQJOenp6O/Px83fvNnz8fLVu2xIcffojXX38dW7duxR//+Mcwa1i18FIdwzAMw9R0/FLgV9kyABw+fBjJyclKsssl1vNSxo8fj++//x5btmxR0vLy8vD0009j586dpveNkySpwmvuv/9+xMfHo1WrVlixYoVuHKc1a9aYum804IGTDiUeJ2xup6EY06iv6AkXZcEhPa8nNDcjfgxHkF0R0YiwXFkiFfdKJsSlRm0ajug/ElGqnmNBZcXhes/dyEYzUZw15ZroZ0aC8GiLw0XotUOsooFXFlPOAjp5bdbQCN80qjxF9Lzoc9VE4iZ5fcF0vSj4kgmHDyMi3QFBzwY5Ej49L/ou+DzV5OIfRY1TcnKyZuBkxIQJE/D+++/jyy+/RNOmTZX0r776CsePH0ezZs2UNJ/PhylTpmDhwoX45ZdfkJGRAbfbjdOnT2tmnY4fP46uXbvq3vOWW26J2Sa+RvDAiWEYhmGYECRJwoQJE7B27Vps2rQJLVq00JwfMWKEIviW6d+/P0aMGIFbb70VAJCbmwuHw4ENGzZg2LBhAIBjx45h9+7dmD9/vu69ly9fHt3KRBEeODEMwzBMDceCKIQjMJl/3LhxWLVqFd577z0kJSUpmqSUlBTEx8ejYcOGaNiwoeYah8OBjIwMXHzxxUreMWPGYMqUKWjYsCFSU1MxdepUtG/fPmTQVVvggRPDMAzD1HRiEDl88eLFAICePXtq0pctW4ZRo0aFXc5TTz0Fu92OYcOGobS0FL1798by5ct1YzjVdHjgxDAMwzBMCFIEA7VffvklJC0uLg6LFi3CokWLomBV7OGBE8MwDMPUcHiT35oDD5x0cHvssHkiax5LGJ5yNqsUct4WBa86M1vARIKR5xpF5KECqJ42gFq3qrY7XETeYpF6TppB5GEn8noC9GwM30NPDzNb2kSKJPDI0rPByOPKTF+MhsdqZamOPm60BQ+1wW5R+5fs9VbkVt3SXTZ181RaruJVp/esEPqu6+X1+cXXifIatZ+ep6dRuVrbQvMY9TOfx1fh+agRg8jhjBgOgMkwDMMwDBMmPOPEMAzDMDUciyTBUklxeGWvZwLwwIlhGIZhajr+4K+yZTCVhgdODMMwDFPD4RmnmgMPnHRwe62wec3FmJAlhHricCoy9gf3DLISAbCPnBeJPM2ISyu79YoeVGipJ5pUxKP+8IW+ekTjPReJu422wjFKi0a5RqJTPccBo74RzjY+kWBGjE0xs80Ffd6ivhZO34nEmUIroK74GjN9sjp2jDCzfZBR36DPpdxnF6YbPQNRXqPnem65cv5I+1w4tlV0X728ojSfl6XCdQ0eODEMwzBMTYe96moMPHBiGIZhmJpODCKHM2J4jpFhGIZhGCZMeMaJYRiGYWo4HDm85sADJx18Hhskj1gcbiQWtlh1xOEkrxQUhfsl9R5UuElj0ZoRLFdkVzgYzeRK4UQAFkQLpmvrQtF4tCNVC0Sweu0gbEuLwXmSJRxngGhGqBbdT+9ekUZbNoNeFHCZSAW5kToUGGEkrtd7hiKM3peqEodX1W4C4Yj2I2kTs89VJA7XHFdsgu69jQoQC8IrLt9fXeJwXqqrMdSqpbqPPvoInTt3Rnx8PNLS0nD99ddrzh86dAiDBg1CYmIi0tLSMHHiRLjd7hhZyzAMwzDM+UatmXF65513cPvtt2Pu3Lm4+uqrIUkSfvjhB+W8z+fDtddei0aNGmHLli04deoURo4cCUmSzpsdmRmGYZi6icUf+FW2DKby1IqBk9frxd13343HH38cY8aMUdIvvvhi5Xj9+vXYu3cvDh8+jMzMTADAk08+iVGjRmHOnDlITk6udrsZhmEYJirwUl2NoVYs1e3cuRNHjhyB1WpFhw4d0KRJE1xzzTXYs2ePkmfbtm3IyclRBk0A0L9/f5SXlyMvL0+37PLychQWFmp+DMMwDMMwImrFjNOBAwcAALNmzcKCBQvQvHlzPPnkk+jRowf279+P1NRU5OfnIz09XXNdgwYN4HQ6kZ+fr1v2vHnzMHv27JB0v9cKeHTGlXrCYVkcTvWFOqJTq9Wiuebc8yLJpL4ovXL/itATYGryyP/Viwbus5JjS0herRhTkO6vWCSqa1A4CIrWe0aq4lt8Myr8V563VUdMbCDiFvUdsyjlCtJCj0Ovj6Zo3Ujoq00zFv2aEfUatZ+RwD+cvJWlqhw6KGaepziiOz02E+G/4u+Gbl5dxwBRXrFY3aissA2LEL+OE1HU4QCYNYaYzjjNmjULFoulwt+OHTvg9wcWZmfMmIE///nPyM3NxbJly2CxWPDWW28p5VkEXxtJkoTpMtOnT0dBQYHyO3z4cPQryjAMwzCVQN6rrrI/pvLEdMZp/PjxuPHGGyvM07x5cxQVFQEA2rZtq6S7XC60bNkShw4dAgBkZGTg22+/1Vx7+vRpeDyekJkoisvlgsvlirQKDMMwDFP1sMapxhDTgVNaWhrS0tIM8+Xm5sLlcmHfvn3o1q0bAMDj8eCXX35BdnY2AKBLly6YM2cOjh07hiZNmgAICMZdLhdyc3OrrhIMwzAMw9QZaoXGKTk5GXfddRdmzpyJrKwsZGdn4/HHHwcA/OUvfwEA9OvXD23btsWIESPw+OOP4/fff8fUqVNx++23s0cdwzAMU7uRAFQ2nABPOEWFWjFwAoDHH38cdrsdI0aMQGlpKTp37owvvvgCDRo0AADYbDZ89NFHGDt2LK666irEx8dj+PDheOKJJyK6n+SxQbIbi/4kg6jTQuExiKhXIDYOnNcp45zrde3SEVXKwm0AkORjmtevI8AMpmvigOgJMI1eTin02KIjJNdthmiKP+mtraEXSkQJKAmep6mg1joVoveAVRDpXE9ILuhHhn0qwijZehiJv0UNFI7o34w42ZSg21BIHn5R2gsrtsFoxwFT15mx0UTTaBw+6G4AJDq25AuVxlqsfnJM+rWyM4D4Hvp2GjgGCMXhxo0SyUqVYaT0ahKHR0OjxBqn6FBrBk4OhwNPPPFEhQOhZs2a4cMPP6xGqxiGYRiGqUvUmoETwzAMw9RZJERBHB4VS+o8PHBiGIZhmJoOe9XVGGpF5HCGYRiGYZiaAM846VFqhe640kiEqCvkDS1CJDbWvYWe+JRkVsTbXjXNSo4dZ9U62UqDl5Ne4HeIbVBurSfQpPryYHmSTUcMS0SnFp9so7hcTfP4yLGcn9pIhOtWT6g9fqc4L72fLy4Y9VxP70muE2p2ST2EG2rqPWMqQA8e+4i9tC01tlnla9TzfoHQXHNvHfG4xp7KCpL1MHQcMPFu1QR0zBUKivVsF+Y1unHlo86LxNgS/W6UqB3NQp1K7MELHWoHl0gHNhXxPSzbIixDgGFTiTIY3be0muYf/Kj8O8ib/EYFHjgxDMMwTA2HvepqDjxwYhiGYZiaDmucagyscWIYhmEYhgkTnnFiGIZhmJoOzzjVGHjgpIOt1AqrpDMhRwV6VKPpFyj3aHRogRhYTwurEULL5VJxKbnQVqYmOwuCaW6xjY4S9Q97mRRqA1G1+qlo3CankfNEvOwjonJvveBtrTo2FqnH9lIpxF6rW7XR5vYL060+QYRvHaG4/Bj9TvV5+h1qZp+L1tmiuQbQPgtbeagN9L5WLzlP7JUfnSZIu1P9w5ug3tCTEEj3xpPzcVScG1o32tYagT8VnctaX4veeUEkcx3nBt1+XVVUxz2iiLlo8hFEPdd7Lkbl0m+Uxpki8MBpX7cXkz5H+onyDbDQl0SnP0QkfEfEkf+FNoR5jZ4N2h0LBOfLqmnhhgdONQZeqmMYhmEYhgkTHjgxDMMwTE3HH6WfCebNm4dOnTohKSkJjRs3xtChQ7Fv3z5NnlmzZqFNmzZITExEgwYN0KdPH3z77beaPOXl5ZgwYQLS0tKQmJiIwYMH49dffzXZADUHHjgxDMMwTA1HDkdQ2Z8ZNm/ejHHjxuGbb77Bhg0b4PV60a9fPxQXFyt5LrroIjz77LP44YcfsGXLFjRv3hz9+vXDiRMnlDyTJk3C2rVrsXr1amzZsgVnz57FwIED4fP5RLet8bDGiWEYhmGYENatW6f5e9myZWjcuDHy8vLQvXt3AMDw4cM1eRYsWICXXnoJ33//PXr37o2CggK89NJLePXVV9GnTx8AwMqVK5GVlYXPPvsM/fv3r57KRBGecWIYhmGYmo4sDq/sD0BhYaHmV15eHpYJBQUB76PU1FThebfbjaVLlyIlJQWXXXYZACAvLw8ejwf9+vVT8mVmZiInJwdbt26tTIvEDJ5x0sFZYIGtzAJr0NtLb4sO4201xF5qous0W4aQrTtkjzRHKc1LPM+Ip5e9zB+8Rp0CtWo809R0iyd4TDzUJIe6zYI/XjXYmxA4Lq+vnncnkW0WSJ3jTgXtPauW6yxSbXAUqzbYSr2hdnnVvIqN5xzDF8zjp+5z5MGQ9oHscWZTbZec5NhOHoxN9hjScbsh91PspPclbWk0LS7ZSfs5qG0Be3wuNc1HnoUvjngHCrwAy+qTP+g/jYLm+FxqkieJmE68C2UPPI3XnaZJLMJDIQZeY2F5oJnyUjM4b7jti4l7GaHnYabxzgqcoNua6JahpFXsrRuSLirCLzgmXndW4ulqV1dm4EkWFUb6Tjgef2HaqL1Hxelm7qs1Qj2k313Zw1Dv269sjVReTS6ffqnyWw4Fv4tZWVma5JkzZ2LWrFkVXipJEiZPnoxu3bohJydHc+7DDz/EjTfeiJKSEjRp0gQbNmxAWloaACA/Px9OpxMNGjTQXJOeno78/PzK1SdG8MCJYRiGYeoQhw8fRnKyOgJ2uVwV5A4wfvx4fP/999iyZUvIuV69euG7777DyZMn8cILL2DYsGH49ttv0bhxY93yJEmCRe8fqDUcXqpjGIZhmJpOFJfqkpOTNT+jgdOECRPw/vvvY+PGjWjatGnI+cTERLRq1QpXXnklXnrpJdjtdrz00ksAgIyMDLjdbpw+fVpzzfHjx5Genh6lxqleeODEMAzDMDWeaAyazC31SZKE8ePHY82aNfjiiy/QokWLsK+TdVO5ublwOBzYsGGDcv7YsWPYvXs3unbtasqemgIv1TEMwzBMTScGkcPHjRuHVatW4b333kNSUpKiSUpJSUF8fDyKi4sxZ84cDB48GE2aNMGpU6fw3HPP4ddff8Vf/vIXJe+YMWMwZcoUNGzYEKmpqZg6dSrat2+veNnVNnjgpEPqXi/sDq8ivLaV64iXyRYbIjGwpLOGK5dhIWJjyUomAG3kuqDg2OITC6WpPfAG06lomsbKoDZagwpgl4OcJscOqjQNXGf1qNfT7VucRAgut5mdiMAdZ1XVpbXUTY49gQO3h9SBKDQ9XmG6JNfJR+rpNxHdjbS1xUaOLYJJWKuJdXi9NXtZmE7O0/V9agOCYnWblYrH1VdVilOP/cFn5ydCckeReuxNVI/LGgTKk9QkLdTpQX50VECs1wyG3+Io6hgMBMK66NkoSLeaCS1DrxdsZaMn3IbAEUQjTBaIlAFVG0y3d9JUgb6yAhv8rtDzgfKCl5PX0EYdrchNbLKTShjPQrm3jnBbVxxutI2KoK01pwVtFsgsuJVmSyX12BEUxNPvnK2MfO+DQmuvp3bGIgqHxYsXAwB69uypSV+2bBlGjRoFm82Gn376CStWrMDJkyfRsGFDdOrUCV999RXatWun5H/qqadgt9sxbNgwlJaWonfv3li+fDlsNr2PUc2GB04MwzAMU9Pxm19qE5cRPpLBDFVcXBzWrFljWE5cXBwWLVqERYsWmbp/TYUHTgzDMAxT05H8gV9ly2AqDYvDGYZhGIZhwoRnnBiGYRimphMDcTgjhgdOOrhOu2G3WxXxt0YQbiTS9uqIsamQWRY60/N6x35RhGoiKqfTr/Iatt4LQoXQcsRsjyoIt3icyrHdrSpUbcWBvC47VZRWHF1bLwK4RgheHhSKU+G3h5wn4nCJisaVepJ2MLl+Ty4MKcNCBeFEMK5JDwobLVTgSI9p+1Dlr3KaOgPQY29IWZqg004iFA8K+L3xRASepp4vbahe6YsLXkOrRoWxZdS4YF6B2DjEIBFUaE67tYlo1toTFV9Ho1zLdaJNrncsi7S1UbR1+pESoZoIs2n72EKPNWm03UU7B5BnQQXqGqFz0FFEI2AXRLPW2kvtqrghdaNvk2N7STBJ5760zvJuCX6qAdbpU6J7SzqvkwaBsF0jtBeIwzU7M9CdF0rpLgxBxyC3mqbZhcETOPZ6yY2rkhhonBgxvFTHMAzDMAwTJjzjxDAMwzA1HV6qqzHwwIlhGIZhajoSojBwiooldR5eqmMYhmEYhgkTnnHSweKTYLFISmRvGuFbFmgC0Bd0y2giWwtE43oRvqn4W4mS7QtNO/e+wfRwhNKyqNlColLLUavpeUAVRetKS8n9FLG6qA7n2i6wV1u3Koo7IooQDiL+NhCEB05YtP8951grGreG5qWR4q0CobiDRHF30WdEIorLxVHRL3n0ziL1D39JII+VRLvXFSEHn4dE6q4ndFYvEqQB8BPbJMEXR080rbmfVfvfCpHL03kFRBGzadR/KibWisbl/4oL1hVWKxnIaY1gueJ3VSRu1rQTqY87ifQNOVi94LmGpoeWq8lrIPCnonO/QCSvh99OH37oPfwOkkafm0GbaIT21DEguPOB1lmARAZ3hx6LBOGBe0ia/1Y5vFRXY6g1M0779+/HkCFDkJaWhuTkZFx11VXYuHGjJs+hQ4cwaNAgJCYmIi0tDRMnToTb7dYpkWEYhmFqCX5/dH5Mpak1A6drr70WXq8XX3zxBfLy8nD55Zdj4MCByqaDPp8P1157LYqLi7FlyxasXr0a77zzDqZMmRJjyxmGYRimksgzTpX9MZWmVgycTp48if/+97+4//77cemll6J169Z49NFHUVJSgj179gAA1q9fj71792LlypXo0KED+vTpgyeffBIvvPACCgsLY1wDhmEYhmHOB2rFwKlhw4a45JJL8Morr6C4uBherxfPP/880tPTkZubCwDYtm0bcnJykJmZqVzXv39/lJeXIy8vT7fs8vJyFBYWan4MwzAMU6PgGacaQ60Qh1ssFmzYsAFDhgxBUlISrFYr0tPTsW7dOtSvXx8AkJ+fj/T0dM11DRo0gNPpVJbzRMybNw+zZ88OvafXD4vkV0XheoJwghQU+OoKqDXqxqA60ScWFlN1o0jrqokkTcXUiqhZLLDWiLDliLdu4/GzRiAdcq9zMBB0Rxzh2wg9QbfReVoPa6jg20KF25ZQobhQBA5ohPaK+Jum2dXrJCLQlyOD++NVZawvXj3vTVSv8zsC9ngS1Pt66omFurKg1keFvAKBMM2rK7gVCI41ompNZGvB89ZEsybHVh2RsUAcrhGui6KaC8TGIQSv89PnqicOD9ZDJBg/9zq5fahwWBPNmqSL2k8Puc567eAqUA2So3brCbeN7qdpX1EGnfbVlOuTyxKXqymYtl+wGjSqt+bWpN0VETeNCK95hvQZhEZetxBxuPZ5+UPSNEJw+bl5q0k3xJHDawwxnXGaNWsWLBZLhb8dO3ZAkiSMHTsWjRs3xldffYV//etfGDJkCAYOHIhjx44p5VkEMfklSRKmy0yfPh0FBQXK7/Dhw1VSV4ZhGIZhaj8xnXEaP348brzxxgrzNG/eHF988QU+/PBDnD59GsnJyQCA5557Dhs2bMCKFStw//33IyMjA99++63m2tOnT8Pj8YTMRFFcLhdcLlflK8MwDMMwVYQk+bX7kkZYBlN5YjpwSktLQ1pammG+kpLArpJWq3aCzGq1wh9cSuvSpQvmzJmDY8eOoUmTJgACgnGXy6XooBiGYRimViJJlV9qY41TVKgV4vAuXbqgQYMGGDlyJP79739j//79uPfee3Hw4EFce+21AIB+/fqhbdu2GDFiBHbt2oXPP/8cU6dOxe23367MUjEMwzAMw1SGWiEOT0tLw7p16zBjxgxcffXV8Hg8aNeuHd577z1cdtllAACbzYaPPvoIY8eOxVVXXYX4+HgMHz4cTzzxRET3tJ0phs3qVaNf0ylOKVQgGDF6/wKgs2vBp2TRiGF1xMs2WcxO1ZihQtRAeui0bVSE23qicfm0QTRhLaYyi+9nJGwXndfDGuG/NeR7aETpNIp46CVUdGorJ84C5Hn6nIEL5YjIAOA8q5brjSd9JnhIheQ0MjO1QRaQ60bqpulywbqRsUm6v+LzEWPwCMMRXhuVK0GOnk/fIfWQCo7l50HFxDbyjDSCZPkxS4I0aJ+3clvSd6j4W/O8DITkonQq8qZR3mmEb1lgTm3URKP3ENvl7wm11yp+GLQPy22lJ9zWHsu7O+icp980Odq3ZscGmpfu9BA81jgD0Ovkb225sD5RR4qCOJxnnKJCrRg4AUDHjh3x6aefVpinWbNm+PDDD6vJIoZhGIapJvz+c9w4I4A1TlGhVizVMQzDMAzD1ARqzYwTwzAMw9RZeKmuxsADJ4ZhGIap4Uh+P6RKLtVxOILowAMnPc6WBELRGo3QzYzgKwjEWWFZQXGjbqfXiIyD0cupiNloR2wqSqXJJq4TEo7QPMIXWSRiF4rAw4GWJZdB6kbbQXOHYMRw+lwsVF1LI7oraTTkMYlk7lFF8BarO2iLVZhXIukOuzUkDXaSlx7LAmCbcTvJ32eNgNgWWhaginNpP/Q7iQCdCIt9rkC6HPE8UJh6aCVCXZ8zVACtiQItEiET2y0mHB00YmwqdCYCfUVwTO+liZYuiCothQqTQ9KD6D4X+oooEdTFzg1CMb8l1EFAD936UHsNmlVUN61DTRjXycc61xnm1RV8y89Qx9mHvrNyuk/HYEU87hafjzY841RjYI0TwzAMwzBMmPCME8MwDMPUdPxSJeJqBOEZp6jAAyeGYRiGqelIEnTXOU2VwVQWXqpjGIZhGIYJE55x0kOSzhFEVizcDrPQSpkUFpZQcbNutGt/qKhXU5RNELXbzL9YKh/0W1egHokM3GIm6reRkJ9CxKO6kdcNhOsWUbR1nWs0qRaLblpoeQb1N6qz3nlRul59De9hYKNeuWbeQyOHhGj8q9zInkgdGcItP1Kqe0YimvczU5aR44uZe/gFTiBVgOSXIFVyqU7iGaeowAMnhmEYhqnpSH5UfqmOwxFEA16qYxiGYRiGCROecWIYhmGYGg4v1dUceODEMAzDMDUdXqqrMfDA6RzkEbn33GiwURGHVw7dyOFGkXp1C4zgJarmf7FEc4sAizCssm5u4yziMM3ivP4IxOHh2CASW+sKsCsrDjdzXRWJw3Xbt5aJwyNybzBTfoRUuzg8mmXFRhwu/7+iqmdzvPBUur288BhnYgzhgdM5nDp1CgCw6dSrMbaEYRiGqS0UFRUhJSUl6uU6nU5kZGRgS/7HUSkvIyMDTqczKmXVVSwSL3pqOHPmDBo0aIBDhw5VyUsQSwoLC5GVlYXDhw8jOTk51uZEFa5b7YTrVjs5n+sGmKufJEkoKipCZmYmrGZCnpigrKwMbnd09sRzOp2Ii4uLSll1FZ5xOge546ekpJyXHwQASE5O5rrVQrhutROuW+0l3PpV9T+y4+LieLBTg+BwBAzDMAzDMGHCAyeGYRiGYZgw4YHTObhcLsycORMulyvWpkQdrlvthOtWO+G61V7O9/oxlYPF4QzDMAzDMGHCM04MwzAMwzBhwgMnhmEYhmGYMOGBE8MwDMMwTJjwwIlhGIZhGCZMeOBEeO6559CiRQvExcUhNzcXX331VaxNMs2sWbNgsVg0v4yMDOW8JEmYNWsWMjMzER8fj549e2LPnj0xtFifL7/8EoMGDUJmZiYsFgveffddzflw6lJeXo4JEyYgLS0NiYmJGDx4MH799ddqrIUYo7qNGjUq5DleeeWVmjw1tW7z5s1Dp06dkJSUhMaNG2Po0KHYt2+fJk9tfXbh1K22PrvFixfj0ksvVYI+dunSBZ988olyvrY+M8C4brX1mTGxgQdOQd544w1MmjQJM2bMwK5du/DHP/4R11xzDQ4dOhRr00zTrl07HDt2TPn98MMPyrn58+djwYIFePbZZ7F9+3ZkZGSgb9++KCoqiqHFYoqLi3HZZZfh2WefFZ4Ppy6TJk3C2rVrsXr1amzZsgVnz57FwIED4fP5qqsaQozqBgADBgzQPMePP9buVVVT67Z582aMGzcO33zzDTZs2ACv14t+/fqhuLhYyVNbn104dQNq57Nr2rQpHn30UezYsQM7duzA1VdfjSFDhiiDo9r6zADjugG185kxMUJiJEmSpD/84Q/SXXfdpUlr06aNdP/998fIosiYOXOmdNlllwnP+f1+KSMjQ3r00UeVtLKyMiklJUVasmRJNVkYGQCktWvXKn+HU5czZ85IDodDWr16tZLnyJEjktVqldatW1dtthtxbt0kSZJGjhwpDRkyRPea2lI3SZKk48ePSwCkzZs3S5J0fj27c+smSefXs2vQoIH04osvnlfPTEaumySdX8+MqXp4xgmA2+1GXl4e+vXrp0nv168ftm7dGiOrIuc///kPMjMz0aJFC9x44404cOAAAODgwYPIz8/X1NPlcqFHjx61rp7h1CUvLw8ej0eTJzMzEzk5ObWivps2bULjxo1x0UUX4fbbb8fx48eVc7WpbgUFBQCA1NRUAOfXszu3bjK1/dn5fD6sXr0axcXF6NKly3n1zM6tm0xtf2ZM9cGb/AI4efIkfD4f0tPTNenp6enIz8+PkVWR0blzZ7zyyiu46KKL8Ntvv+GRRx5B1/9v785jorrePoB/B2Vg2BEojICDoGVRRIHYgqhoVcRoQVtFqwLRatACIlqpdRcXREGpsVaJxaWaSio0WiuCkSXgUqUYUChohYE0uCGClrIMPO8fpvfHCMjYWnF4n09Cwr3nzDnnuY+Yh3sPM56euHXrlhBLZ3HK5fKeWO4/pkos9+7dg1gshrGxcYc+b3tefX19MXPmTMhkMpSXl2PdunUYP3488vPzoaWlpTaxEREiIyPh5eWFoUOHAug9uessNkC9c1dUVAQPDw80NjZCT08PqampcHJyEooDdc5ZV7EB6p0z9uZx4dSOSCRSOiaiDufedr6+vsL3zs7O8PDwgJ2dHY4cOSJsduwNcf7tn8SiDvEGBAQI3w8dOhTu7u6QyWQ4e/YsZsyY0eXr3rbYQkNDUVhYiNzc3A5t6p67rmJT59zZ29vjxo0bePLkCU6dOoWgoCBkZ2cL7eqcs65ic3JyUuucsTePH9UBMDU1RZ8+fTr85vDgwYMOv2GpG11dXTg7O+P27dvCX9f1hjhVicXCwgLNzc2ora3tso+6kEqlkMlkuH37NgD1iC0sLAynT59GZmYmrKyshPO9IXddxdYZdcqdWCzGoEGD4O7uju3bt8PFxQUJCQm9ImddxdYZdcoZe/O4cMLzHyg3NzdkZGQonc/IyICnp2cPrer1aGpqQklJCaRSKQYOHAgLCwulOJubm5Gdna12caoSi5ubGzQ1NZX6VFdX4+bNm2oXb01NDaqqqiCVSgG83bEREUJDQ5GSkoKLFy9i4MCBSu3qnLvuYuuMOuXuRUSEpqYmtc5ZV/6OrTPqnDP2Brzx7ehvqe+//540NTXp0KFDVFxcTBEREaSrq0sVFRU9vbRXsmLFCsrKyqK7d+/SlStXaOrUqaSvry/EERMTQ4aGhpSSkkJFRUU0Z84ckkqlVF9f38Mr7+jp06dUUFBABQUFBIDi4+OpoKCA5HI5EakWS0hICFlZWdGFCxfo119/pfHjx5OLiwspFIqeCouIXh7b06dPacWKFXTp0iUqLy+nzMxM8vDwIEtLS7WIbcmSJWRoaEhZWVlUXV0tfDU0NAh91DV33cWmzrlbvXo15eTkUHl5ORUWFtKXX35JGhoalJ6eTkTqmzOil8emzjljPYMLp3b27dtHMpmMxGIxubq6Kv2JsboICAggqVRKmpqa1L9/f5oxYwbdunVLaG9ra6MNGzaQhYUFaWlp0ZgxY6ioqKgHV9y1zMxMAtDhKygoiIhUi+Wvv/6i0NBQ6tevH0kkEpo6dSpVVlb2QDTKXhZbQ0MDTZo0iczMzEhTU5MGDBhAQUFBHdb9tsbWWVwAKCkpSeijrrnrLjZ1zt2CBQuE///MzMzogw8+EIomIvXNGdHLY1PnnLGeISIienP3txhjjDHG1BfvcWKMMcYYUxEXTowxxhhjKuLCiTHGGGNMRVw4McYYY4ypiAsnxhhjjDEVceHEGGOMMaYiLpwYY4wxxlTEhRPrdby9vREREdGr5g0ODoa/v/+/GsPGxgYikQgikQhPnjzpst/hw4dhZGT0r+ZiXQsODhby8OOPP/b0chhjr4gLJ8Zek5SUFERHRwvHNjY22LNnT88tqBObN29GdXU1DA0Ne3opvV5WVlanRWpCQgKqq6t7ZlGMsX+tb08vgLHeol+/fj29hG7p6+sLn3Tf01paWqCpqdnTy3jjDA0NuXBlTI3xHSfW69XW1iIwMBDGxsbQ0dGBr68vbt++LbT//Wjq/PnzcHR0hJ6eHiZPnqx0V0ChUCA8PBxGRkYwMTFBVFQUgoKClB6ftX9U5+3tDblcjuXLlwuPZQBg48aNGD58uNL69uzZAxsbG+G4tbUVkZGRwlyrVq3Ci5+MRESIjY2Fra0tJBIJXFxc8MMPP/yj63P48GEMGDAAOjo6mD59Ompqajr0OXPmDNzc3KCtrQ1bW1ts2rQJCoVCaP/tt9/g5eUFbW1tODk54cKFC0qPoioqKiASiZCcnAxvb29oa2vju+++AwAkJSXB0dER2tracHBwwNdff6009x9//IGAgAAYGxvDxMQEfn5+qKioENqzsrIwcuRI6OrqwsjICKNGjYJcLlcp9u7iio+Ph7OzM3R1dWFtbY2lS5fi2bNnQrtcLse0adNgbGwMXV1dDBkyBD///DMqKiowbtw4AICxsTFEIhGCg4NVWhNj7O3GhRPr9YKDg3H9+nWcPn0aly9fBhFhypQpaGlpEfo0NDRg165dOHbsGHJyclBZWYmVK1cK7Tt27MDx48eRlJSEvLw81NfXv3R/SkpKCqysrIRHY6/yaCYuLg7ffvstDh06hNzcXDx+/BipqalKfdauXYukpCTs378ft27dwvLlyzFv3jxkZ2erfmEAXL16FQsWLMDSpUtx48YNjBs3Dlu2bFHqc/78ecybNw/h4eEoLi7GgQMHcPjwYWzduhUA0NbWBn9/f+jo6ODq1as4ePAg1qxZ0+l8UVFRCA8PR0lJCXx8fJCYmIg1a9Zg69atKCkpwbZt27Bu3TocOXIEwPO8jBs3Dnp6esjJyUFubq5Q2DY3N0OhUMDf3x9jx45FYWEhLl++jMWLFwuF6st0FxcAaGho4KuvvsLNmzdx5MgRXLx4EatWrRLaP/vsMzQ1NSEnJwdFRUXYsWMH9PT0YG1tjVOnTgEASktLUV1djYSEhFfKDWPsLdWjHzHM2H9g7NixtGzZMiIiKisrIwCUl5cntD969IgkEgklJycTEVFSUhIBoDt37gh99u3bR+bm5sKxubk57dy5UzhWKBQ0YMAA8vPz63ReIiKZTEa7d+9WWtuGDRvIxcVF6dzu3btJJpMJx1KplGJiYoTjlpYWsrKyEuZ69uwZaWtr06VLl5TGWbhwIc2ZM6fL69LZeubMmUOTJ09WOhcQEECGhobC8ejRo2nbtm1KfY4dO0ZSqZSIiM6dO0d9+/al6upqoT0jI4MAUGpqKhERlZeXEwDas2eP0jjW1tZ04sQJpXPR0dHk4eFBRESHDh0ie3t7amtrE9qbmppIIpHQ+fPnqaamhgBQVlZWl3F3pbu4OpOcnEwmJibCsbOzM23cuLHTvpmZmQSAamtrO21vf30YY+qD9zixXq2kpAR9+/bFe++9J5wzMTGBvb09SkpKhHM6Ojqws7MTjqVSKR48eAAAqKurw/379zFy5EihvU+fPnBzc0NbW9trXW9dXR2qq6vh4eEhnOvbty/c3d2Fx3XFxcVobGzExIkTlV7b3NyMESNGvNJ8JSUlmD59utI5Dw8PpKWlCcf5+fm4du2a0p2Y1tZWNDY2oqGhAaWlpbC2tlbaO9X+WrXn7u4ufP/w4UNUVVVh4cKFWLRokXBeoVAIe4Dy8/Nx584d6OvrK43T2NiI33//HZMmTUJwcDB8fHwwceJETJgwAbNmzYJUKu029u7i0tHRQWZmJrZt24bi4mLU19dDoVCgsbERf/75J3R1dREeHo4lS5YgPT0dEyZMwEcffYRhw4Z1OzdjTH1x4cR6NXphb1D78+0f57y4SVkkEnV47YuPf7oa+2U0NDQ6vK79I0NV/F2snT17FpaWlkptWlparzSWKjG0tbVh06ZNmDFjRoc2bW3tDtfyZXR1dZXGBYDExESlwhZ4Xpj+3cfNzQ3Hjx/vMJaZmRmA53ukwsPDkZaWhpMnT2Lt2rXIyMjA+++//6/iksvlmDJlCkJCQhAdHY1+/fohNzcXCxcuFHL26aefwsfHB2fPnkV6ejq2b9+OuLg4hIWFqXQ9GGPqhwsn1qs5OTlBoVDg6tWr8PT0BADU1NSgrKwMjo6OKo1haGgIc3Nz/PLLLxg9ejSA53cmCgoKOmz0bk8sFqO1tVXpnJmZGe7du6dUbNy4cUNpLqlUiitXrmDMmDEAnt+Byc/Ph6urqxCTlpYWKisrMXbsWJVi6IqTkxOuXLmidO7FY1dXV5SWlmLQoEGdjuHg4IDKykrcv38f5ubmAIBr1651O7e5uTksLS1x9+5dzJ07t9M+rq6uOHnyJN555x0YGBh0OdaIESMwYsQIrF69Gh4eHjhx4kS3hVN3cV2/fh0KhQJxcXHQ0Hi+HTQ5OblDP2tra4SEhCAkJASrV69GYmIiwsLCIBaLAaDDvwHGmHrjwon1aoMHD4afnx8WLVqEAwcOQF9fH1988QUsLS3h5+en8jhhYWHYvn07Bg0aBAcHB+zduxe1tbUvvdNiY2ODnJwczJ49G1paWjA1NYW3tzcePnyI2NhYfPzxx0hLS8O5c+eUioJly5YhJiYGgwcPhqOjI+Lj45XeC0hfXx8rV67E8uXL0dbWBi8vL9TX1+PSpUvQ09NDUFCQynGFh4fD09MTsbGx8Pf3R3p6utJjOgBYv349pk6dCmtra8ycORMaGhooLCxEUVERtmzZgokTJ8LOzg5BQUGIjY3F06dPhc3h3d2J2rhxI8LDw2FgYABfX180NTXh+vXrqK2tRWRkJObOnYudO3fCz88PmzdvhpWVFSorK5GSkoLPP/8cLS0tOHjwID788EP0798fpaWlKCsrQ2BgYLexdxeXnZ0dFAoF9u7di2nTpiEvLw/ffPON0hgRERHw9fXFu+++i9raWly8eFEoyGUyGUQiEX766SdMmTIFEokEenp6KueGMfaW6rHdVYz9R17cpP348WOaP38+GRoakkQiIR8fHyorKxPak5KSlDZDExGlpqZS+x+PlpYWCg0NJQMDAzI2NqaoqCiaOXMmzZ49u8t5L1++TMOGDSMtLS2lsfbv30/W1takq6tLgYGBtHXrVqXN4S0tLbRs2TIyMDAgIyMjioyMpMDAQKWN6G1tbZSQkED29vakqalJZmZm5OPjQ9nZ2V1el842hxM934BtZWVFEomEpk2bRrt27epwPdLS0sjT05MkEgkZGBjQyJEj6eDBg0J7SUkJjRo1isRiMTk4ONCZM2cIAKWlpRHR/zaHFxQUdJj/+PHjNHz4cBKLxWRsbExjxoyhlJQUob26upoCAwPJ1NSUtLS0yNbWlhYtWkR1dXV079498vf3J6lUSmKxmGQyGa1fv55aW1u7vA6vEld8fDxJpVLh383Ro0eVNnyHhoaSnZ0daWlpkZmZGc2fP58ePXokvH7z5s1kYWFBIpGIgoKClOYGbw5nTC2JiP7BRg3G/p9ra2uDo6MjZs2apfRu4W8zGxsbREREvJGPo8nLy4OXlxfu3LmjtOme/Y9IJEJqauq//igdxtibxe/jxJgK5HI5EhMTUVZWhqKiIixZsgTl5eX45JNPenppryQqKgp6enqoq6t7reOmpqYiIyMDFRUVuHDhAhYvXoxRo0Zx0dSJkJAQfmTHmBrjO06MqaCqqgqzZ8/GzZs3QUQYOnQoYmJihA3c6kAulwt/DWZraytseH4djh49iujoaFRVVcHU1BQTJkxAXFwcTExMXtscr2rIkCFdvoP4gQMHutyQ/l978OAB6uvrATx/24v2f2nIGHv7ceHEGOuV2heKLzI3N+/w3lCMMaYKLpwYY4wxxlTEe5wYY4wxxlTEhRNjjDHGmIq4cGKMMcYYUxEXTowxxhhjKuLCiTHGGGNMRVw4McYYY4ypiAsnxhhjjDEVceHEGGOMMaai/wNgflxqg9CtRAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "for ds in [ds_og, ds_125, ds_25]:\n",
     "    ds[\"tas\"].plot()\n",
@@ -814,12 +1236,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "id": "0679c3e5-f2bc-4e50-8b4d-f0cefa54d65a",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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PGDCA8PBwt97EP/74g6SkJNfbKsBff/1F7969qVOnjlv9cePGUVRUdM4erprQs2dPvLy8XN+bNm3qsvXMa7E8vfzYne+xWL16NS1atKBZs2Zu6SNHjqyyfEBAAL169Trn/qxcuRIfH59Kz5BRo0adsy44h8ag6mGn6nL//feTm5vLXXfdxdGjR0lNTWXatGmumU5Kw2TnuneCgoL47rvv2Lp1K127diUmJuacQym//fYbU6ZM4dZbb+WBBx5wy9uyZQu33HIL7dq1Y/Hixfz11188/fTTPPfcc8yaNcut7EsvvcR//vMfZsyYwcqVK/nll19o3Lgxffr08fi+/d///sd1112HyWRCp9Oh1+tZsWIF+/btq3YbnjzfVq5cCTjvpzPp2LEjTZs2rdRLGR4eTseOHd3SlJ4j5dfNqVOnqr0PKpcfl9zpCQoKcvte3i1cXFwMwIkTJ+jevTunTp3inXfeYc2aNWzatMmlqSkvV1MCAwO56aab+OKLL1zDLZ999hkdO3Z0dTVnZmZis9l477330Ov1bp/y4a+zu0er2rfMzMxKeVlZWQQGBgptDA4OdnX5du7cmYCAAB544AHefPNNADcdQTn33HMPVqsVnU7Hgw8+eK7D4DGlpaXccsst/PPPPyxatIhOnTpVq96dd94JUC1nsSZYLJZKegOj0UhJSYlH7aWmpgLO4bWzz/1rr72GLMtumomz0el0jBkzhoULF5KTkwM4r6+IiAj69evnKpeZmUlERESl+pGRka78C8XZ15vBYBCmlx+78z0WmZmZhIWFVUqvKg2o8njUpN3w8PBq1S9/dniiUymnd+/ezJs3j7///pv69esTHh7OTz/95HIkqrpHq3vvdOrUiebNm1NSUsKkSZPcHNaz+eOPPxg2bBh9+vRh/vz5lV6opkyZQlhYGAsXLmTw4MH07NmTWbNm8dRTTzFjxgyOHj0KwL59+5g+fTovvPAC06ZNIz4+nptuuoklS5bg7+/PI488UuNj9OabbzJp0iQ6derEjz/+yIYNG9i0aRP9+/ev8fO7ps+38vtH6R47+/46+/cInM+Rquwsv248/Q1SuTzQnbvIpeXnn3+msLCQn376idjYWFf69u3bz7vtu+++mwULFrB8+XJiYmLYtGkTc+fOdeUHBASg1WoZM2YMU6ZMqbKNunXrKrbfokULAHbt2uVyksrZtWuXK19Ehw4d2Lt3L8eOHaOwsJCGDRuyZcsWAG644Qa3soWFhYwZM4ZGjRqRmprK//3f//HLL7+ccxs1pbS0lKFDh7reAnv37l3tuvLp8e/zFVRfbIKDgwF477336Ny5c5VllH60y7n77rt5/fXX+fbbb7n99ttZtGgRU6dOddMfBAUFVRmnpbwXotyOqjCZTJWE2iB2xD3hfI9FUFCQy3E6EyXBcXXjrAQFBbkJhc/V7tmU71dWVla1Ha2qGDt2LKNHj+bQoUPo9XoaNGjAK6+8giRJdO/e3a1sTe6d559/nl27dtGuXTumT5/O4MGDqVevXqVyf/zxB0OHDqVHjx78+OOPLqf1TLZv387IkSMraV86dOiAw+Fg37591KtXjx07diDLMh06dHArp9frad26NatXr67JoQGcerD4+Hi3ZyvgFhepOnjyfCt3YpKTk4mOjnbLS0pKEt5f56Lc0T+fNlRqn8vO6Sl/AJ4pFpRlmY8++qhSWSWPXIm+ffsSFRXFvHnziImJwWQyuXW5WywWevbsybZt22jVqlWVDxMRUVFRdOzYka+++orHHnvM9cDZsGEDBw4cYOrUqdVuq3yWjizLvPHGG0RGRrpmHpUzceJETpw4wb///sv+/fu59dZbeeuttyoJw8+H8rfUv/76i59++smt16I6fPHFFwCKP56XmrN7Fsvp1q0b/v7+7N27V1Fwey6aNm1Kp06dmDdvHna73W3otJzevXuzcOFCkpKSXL074DxOFotFeJzi4uJIS0sjNTXV5XSUlZXxxx9/eGSvEud7LHr06MF//vMf9u7d6zbE9e23356XXT179uT7779n0aJFbkNcX3/9dbXqN2nSBHBOlKhKhF8TdDqda1gwNzeXDz/8kJtvvtntRa0m987y5ct55ZVXeO6555g6dSpt2rTh9ttvZ+3atW7PoWXLljF06FCuv/56fv755ypF1eDs1di8eTN2u93N8SkfPi13CMqvwQ0bNtCjRw8327du3VrJcagOkiRVsmvnzp2sX7/ebVhX6V4sx5PnW/kw6VdffeXmyG3atIl9+/bx7LPP1nh/yjl69CgajYbGjRt73IZK7XPZOT19+vTBYDAwcuRInnjiCUpKSpg7dy7Z2dmVyrZs2ZKffvqJuXPn0q5dOzQaDe3bt1dsW6vVctddd/Hmm2/i6+vLsGHDKk3VfOedd7j++uvp3r07kyZNIi4ujvz8fA4fPuwaGxfx2muv0adPH2677TYmT55MWloaTz31FC1atHD7ATx+/Dj169dn7NixblPpn332WVq2bElERAQnTpzg008/ZePGjSxZssRt+unHH3/MV199xbx582jevDnNmzfn/vvv58knn6Rbt25u49TlEVvLu7Q3b97s0hTceuutrnK9e/dm9erV2Gw2V9qtt97Kb7/9xrPPPktQUJDbMJWvr6/rR+3rr7/mp59+YtCgQcTGxpKTk8OCBQv49ttvGTduHK1btxYet0tFeW/bhx9+iI+PDyaTibp16xIUFMR7773H2LFjycrK4tZbbyU0NJT09HR27NhBenp6pTfXqrjnnnuYMGECSUlJdO3atdID8vnnn+fXX3+lZ8+eTJ8+ncDAQObPn8+SJUuYPXt2pevxTG6//XamT5/OHXfcweOPP05JSUmVEXbPF29v7/M6FlOnTuXTTz9lwIABzJw5k7CwML7++mv2798PeN7rd9ddd/HWW29x11138dJLL9GwYUOWLl1abaevU6dOmM1mNmzYUEkXdPz4cTZt2gQ4nSKouG/i4uJcz5W0tDTeeOMNunXrho+PD/v372f27NloNJpKYS2qe++Uz17r0aMHzz//PBqNhu+++44bbriBJ554whV1/p9//mHo0KGEh4fzzDPPVOr9btasGb6+vgA8/PDDPPjggwwZMoQJEyZgsVhYsWIFb7zxBjfeeKPrfrz++uvp0KEDM2bMoKioiBtuuIHc3Fzee+89EhIS+PLLL6t1bM9k8ODBzJo1i+eff941i2/mzJnUrVvX7dni4+NDbGysqwcsMDCQ4OBg4uLiavR8O5PGjRszfvx43nvvPTQaDQMGDODYsWNMmzaNOnXqnNcL4YYNG2jTpg0BAQEet6FyGXCpFNPlKvv09HS39Hnz5smAnJCQ4EpbvHix3Lp1a9lkMslRUVHy448/Lv/222+VZn5kZWXJt956q+zv7y9LkuSm4kdhVsDBgwddMxSWL19epa0JCQnyPffcI0dFRcl6vV4OCQmRu3btKr/44ovV2tdly5bJnTt3lk0mkxwYGCjfddddlQKVlc/OGTt2rFv6pEmT5JiYGNlgMMjBwcHy8OHDXbNqytm5c6dsNpsr1S0pKZHbtWsnx8XFuQVfK9/fqj5nUj6b4UxEdc+cWbN+/Xq5d+/ecnh4uKzX62WLxSJ36NBBnjNnjlvANhHUYPaWl5dXpfpKs5jOvg7efvttuW7durJWq60062f16tXyoEGD5MDAQFmv18tRUVHyoEGD5AULFlRrH3Jzc2Wz2SwD8kcffVRlmV27dslDhgyR/fz8ZIPBILdu3brSzCOlgHtLly6V27RpI5vNZrlevXry+++/r7jfZx/L8jbPjkZcfozP3sfzORa7d++Wb7zxRtc9cO+998qff/65DMg7duxwlevRo4fcvHnzKts4e/aWLMvyyZMn5eHDh8ve3t6yj4+PPHz4cHndunXVnpU4ZswYuVmzZpXSy59DVX3OvM8yMzPlvn37yiEhIbJer5djYmLkBx54oNJzTZard+/YbDa5R48eclhYmJycnOxW//XXX5cBeeHChbIsV1zfSp+zZyT++OOP8vXXXy8HBwfLXl5ecvPmzeVZs2ZVCliYk5MjP/vss3LTpk1li8Uih4aGyvHx8fLSpUvPeTzL9/PMe6y0tFR+7LHH5KioKNlkMsnXXXed/PPPP1c5+/DPP/+U27ZtKxuNRtexrsnzrapr3263y6+99prcqFEjWa/Xy8HBwfKdd95ZKUK/0rVXlZ35+fmyxWKR33jjjWodE5XLF0mW1aADKioqF5/x48fzzTffkJmZWeOh4wvF5s2b6dChAxs2bKi2GF9F5ZNPPuGhhx4iMTFR7em5wlGdHhUVlQvOzJkziYyMpF69ehQUFLgCJT733HPMnDmzVm27/fbbKSws5Ndff61VO1SuDGw2G82aNWPs2LHnpQlSuTy47DQ9KioqVz56vZ7XX3+dkydPYrPZaNiwIW+++SYPPfRQbZvGG2+8wSeffEJ+fj4+Pj61bY7KZU5iYiJ33nknjz76aG2bonIBUHt6VFRUVFRUVK4JLu/gKSoqKioqKioqFwjV6VFRUVFRUVG5JrjqND0lJSWUlZXVthkqKioqKpcYg8FwXsuMqFz9XFVOT0lJCWFR0eRlXbj1i1RUVFRUrgxCgkM5kXhcdXxUFLmqnJ6ysjLysjKp/9B0NEbnRa+potMnd+82UpYtAMASGkNE15s49fdPlGQlucpEtehDRJMeleoacpWj32rsyppwWbC8kMNQ81FGXbGyHboCq8AOZUOsvnrFvNIA5UvFZhLsnEKW5BBU8TAPgSRfU6acqbUq50lK51Swy7JGOVMWnGrFbQEaQdBlYb0y5QOmsVbdqMaqXEeyC06AaEqEwEbJIWhTmKfQXg3mZpTZijiU8TfJeXuJ8m5B06B4t/zc0jSyShLxNoVQYs3nQOZKmgT3Jtr3zHX0BNsTHS8lzohaXKP2RPVE6AQ/A4JrWRGt4CIXbEsWxG6SDaJ6zu3Z7KWs2f4mZWVlqtOjoshV5fSUozGa0JY7PVXds2ekFaWf5MjP71cqUpBxAp2+8o2j0wucHslDp0fvgdOj8IMFoNNpFfNETo+sU3Z67HrRQ+fycHpEeRrBD6FW8KMlaS6h06O0LUC0coMkuO40AqdBIys4PbLA6VHyNACEzobgGHt8whWSa+D06LRGWkfdTIClDntT/iDMqwGhlvqufLtcxrHcTThyHPganeudJeZtJ9qvJTrN6R9p0fYEx1IRjfL9i8I5c9bzUKKpETk9HrQpqiPYlqwVOD1aQT3B805F5WyuSqfnXPg2aE7G379hKyl0PZRieo7Ev35rJJ0ec646i19F5Voi1LsBe/mDrak/0yyoN4GmOjhkG9vTFuNnjMCk9yWj0Ll2XYk1D6u9pMLpUVFRuWK4Jp0enbcvze6chrUoj33zXyKkdQ8Cm3Q4o4RMefgiSdAzoqKicuWTkref7acWur7vy1yJfEaPVvuwYWgNJhJzd7An7Q8aB8dj1vvWhqkqKirnyTXp9ABodHoM3gFYwuJI37Eah9VKUNNO6L18sWVmk3JoHXmph2l707NCx0eWZdUxUlG5ginvwWke3Ido75Y4ZBvpxQlsT1sMwJbUn+kQPYIo35bYHVYifZvVprkqKirnQY0GbGfMmIEkSW6f8PBwV74sy8yYMYPIyEjMZjPx8fHs2bPHrY0DBw7QrVs3oqOjK63BExcXhyRJbNiwwS196tSpxMfH13DXqsaal83x7z5g5yfPsOuTZ5AdNnzqNCb78FYO/vgWe754gd3L3iUjYTNlRTmkHlpLWXE+ZUW5ldra9e/HbFjx4gWxS0VFpXZoETGQ/k2fpo5PKyRJQqvRE+7ViPg64wHIKjnBP8c/RSNpiAtoj05jrGWLVVRUPKXGPT3Nmzfnzz//dH3XaitEZLNnz+bNN9/ks88+o1GjRrz44ov06dOHAwcOuNa4mTJlCmPGjKFDhw5MnDiR3r17061bN1cbJpOJJ598ktWrV3u8Uw4tSAp7lrV7I4XHDuDfvAM6bz8yNlbsiyEgBGNQKL4RTShIOkzukR0c2/Izx7b8DEC9gf9H1u6NxHYdjtZoITvjEACFoVokScKQLxCUCmbEyFrlniKHruo8u14kllXO05YoCyGFAlyhEFtQT0FjKNSnCiahSA6BIFakJxXtm+AukGxV1xPZIdyWQHMp2QX1BLOfEBx/0UQapfOmFcz4kmyCPJFmV3jePNTQKdXzQDsMIBndhfwGvOgT+BzrD3yItzEY2ayg4REKmT2YGSgrTygQzt4S2SHqjRZcJLJR2RaHqeobRyQsVnqeAcKZYg6dso3lbdqUJ62qqLiosdOj0+ncenfKkWWZt99+m2effZZhw4YB8PnnnxMWFsbXX3/NhAkTAMjJyaFt27a0atWKyMhIcnPde1AmTJjA3LlzWbp0KQMHDvRkn4T4t+1E/p5t5OzZVCnPFBpFYeJh8g/vqaImHF36sXMfEne7HjBag1kd3lJRuUqRJA1dm0wUT6tXUVG5Yqix03Po0CEiIyMxGo106tSJl19+mXr16pGQkEBKSgp9+/Z1lTUajfTo0YN169a5nJ6ZM2fSp08fiouLGTx4MP369XNrPy4ujokTJ/L000/Tv39/NJ5Ow1RA7xdA3PhHSfruMwoS9rvSI268lcA2XZFlGcepNIrST1KcfpKS7FRKc9IoK8ipmH56xhtVcKNObu3LsoOCrBN4B9RBEk09VVFRUbmCcTjspGXvo7QsD4dsJz17P1qNHrtso7gkB5utGJPJH53WhM1egtVahF5vQaczUVSciSzb8faKwGwOwG63UlCYgsNhBxzodRZ0ejNelhC0OhP+QQ3wD6xPYUEyxcVZIMsUFqRid1iRdHps1iKsZcW1fUhUrgBq5PR06tSJL774gkaNGpGamsqLL75I165d2bNnDykpKQCEhYW51QkLC+P48eOu7wMHDiQ9PZ28vDxCQkKq3M5zzz3HvHnzmD9/PmPGjKnpPp0Tjd5AnZvGse+dp1xpyX/+QMamv6g3eirmgDBMAWHQqJ0rX3bYsRblkX9wF4kbf3alp+5eTVD9dlgCIwHISTnAvrWfoNOb6XjzrAtuu4qKikpt4pDtpObs43DaGopKMgCnvjPAJw6d1ohRZyTQvwE6rZHSsnxstmJ0OjN6nZkyezFWWxHBQU3RaLTk5iVSXJyNLDsICmqEVmtEkjRYrYVYrUXk5J7AZivmxIm/0Wj0OBwVY1g6vQWdzows29DpvdAIYvmoqJRTo6tkwIABrr9btmxJly5dqF+/Pp9//jmdO3cGKk/xrmp2k9FoVHR4AEJCQnjssceYPn06t99+e01MrDYavYHYWydQmp2OzuJD0u/fYM3N4uiXbyLbbAQ0bEdk15tctksaLQbvAMKadacgJYHs4ztAa0Cj0XBo2UfUvWEkAZY4Tu5fAYDB7HdR7FZRUVGpTfYkLiEpewf+PrE0q3cT/t4xgIwkOXvllTQ9RxNXknhqLTqdGbM5EG+vMHx8ojCZ/LGYgvD2jUBTRfBCWZZJzthJWWk+fv6xWCzBSBodWq0BSZLO0PSUsO7P5y/afqtcHZyXa+zl5UXLli05dOgQQ4cOBSAlJYWIiAhXmbS0tEq9P9XhkUceYc6cOcyZM6fmhkm4orU6FPZQtoCpWWNMNAagQavmpCz+nrw928BuJ33narKP78QcGYtf87b4NG4JgLVMIuK2McjLTOTs3Ehg+95kbFzBwT8+OKt9A4mFO/CObUTuwR2E1uuEpK36YWDMq3lof6uX8rCfKE9XrHzKNTbPxLkiHEojfCLxsGBUUKMgLAaQBMFqZYHK2SEQkksKOk7JIajjqS5XFIhXJPwW7bdgeFjpfIuE9RqrKDS0IEskZBaJtEUoVROJh0VaX0FkdOHyGyKEwaZr3qbofArbE+gOHQaB8PisvOTkLSRl76Bpk1uJiLjOWeasOnaFZXWyC08AYLMVk59/ioLCFLRaAzarc1hKo9HhF1yf4MhWBEW2dIuIHxTQ3q0tGXDNdzi9a3aB2FlFpZzzukpKS0vZt28fERER1K1bl/DwcJYvX+7KLysrY/Xq1XTt2rXGbXt7ezNt2jReeukl8vLyzsfMaiFpdUQMHUVQt96uNFtuNvn7tnPyh3nuZSUNkX1HnJ799RfGsOhK7RWnnCDxty/Z979pJP31A9aii78PKioqKhcLu72Mg4cWEx5+HRHh19W4fovrxtKi0/8REdsFnd6M7HAQGtmWrv1m0qbb/cQ07YfdbuXQ9h/YtOxlju5aREmhuni0yoWlRj09jz32GEOGDCEmJoa0tDRefPFF8vLyGDt2LJIkMXXqVF5++WUaNmxIw4YNefnll7FYLIwaNcoj48aPH89bb73FN998Q6dOnc5d4QIQHN8f/xbtOfXLfEpOVWiR9r38GA2mPIvRHAA4h/Hi7phM4sJPKU09id4vEHtxEYaAEEpSEyu1u+frWfjXb0PdG++6JPuhcm1RnJ/O0S0/oNNbiGraC+/AOrVtksoVjs1eSl5uOkVFGRQXZ5BfkIzdUUZM9PXKdWwlFJXl47BbMRh9MBh9XMNeGo2OwJBGBIY0okGLm0k6to4jexZRkHeKkMg2hEa3JbpBD0qKskk5toGUYxtJOroWb/9oohrFExzV6lLtuspVTI2cnpMnTzJy5EgyMjIICQmhc+fObNiwgdjYWACeeOIJiouLmTx5MtnZ2XTq1Illy5a5YvTUFL1ez6xZszx2mjzFEBBM1M13UnB4D+lrluEoLgLZweH3ZxHZbwQBrZz6JY1WB5JEWM+bKU1PovD4IUpSEzFHxBHQrCOyzUrq+qU4ykoBKM1Jv6T7oXLtUJh9iry0I6e/yTTuNq42zVG5gikuyWH7vi8pLE47nSJhNPphNPrSpPFwvL3DcThsZOccITv7KHn5JyksTMVmK0U+a0FUSdJiNPnjFxBLaEQb/MMbnw5sqyGq7vUYTX4kn/iXo3sXc2TPIiw+YXj5RWCyBFK3xWAKck+RcmwDB/79EmuroUTU71bZYBWVGiDJsqeRwS4/8vLy8PPzo/4zL6M1nR4PVlokW7RY8Rl5DpsNa242iQs+wZrpfAh412uGbLdRePwgAHG3T8YrpgFSmUzBiYOcWv4d1oIcAEI69SV94zLAGdPHO6oBDmuZ+/YEwfiUEOk/BAtaC/dbFCROGEBRpEXxYABVqB6q+aLbpw3xME9pW5f6rjnH9qzFeRTlJhNWvwvZSXtpO/BpNFqdUC+jpOnRWEVBNkUXlyDrStD0iAIvXgOaHrvDypETKziRtA6QkdDQvv0ULOZgNBodxcWZ5OQkkJV9mMysA9jtZRiNfvj6RuPtHYFeZ0ant2DwDkCj1VNWmk9JcTbFRRlkZxyiqDAN/+CGNGx5C2avYDcbrGVFZKTvIy8rgeL8NIoLM7GW5ruViWzQg7otB1exb87/2awlbFw8jdzcXHx91bXRVKrmqnR66k07t9MjdAyqyHOUlZK3cytZK5eh8/GlJMk5hGWMiCb2/x5GkiQ0p2dTFp04wvH5/626bZ0ec3gMOpOXK80jp0ekJ/XwB14YUVfwgyayRck5E0V4Pof7olzLU8emhteCs45nt43HztI5z5uM0RJAaN0O7Fj2FuH1uxLe8HqMlgA0CvGilGwROSgiO4TXpODa0ogcs1IPI0B7gMjpFzpmwmtL0KbScRat9efhhAJxRHKJ9NRdHNz7M1ZrIbH1ehEd2x293kxhcSZpSdtITdpCSXE2IOHjF0VQaDOCIlpg8QmrNDvXZqp8ITgcdjb89OTp3dPSZfhrlcucNWnAWpJPWXEeGq0ejd6I3uwrDARrs5awZcFzqtOjIkQNbFBNNAYj/u27ENCmCwAn539I4ZH9yHY7mav/wFK3EV5hMUhaHZaY+oTEDyJ91RLnA+yMB59ss+IoKyXmtimuNEN+pc25UHoQ242ezWISvsULnC/RD5rdoGyL3Vx1uqh3SIjgB0Yj6sUS5XkwM0r0Q+2xYylAtG/aUvcNhjfoRsqhNaQc/geQMHoF4BvSgLB6HSnMSSIn5QDIMiavQPzDm+Af2lANpHkNcyJhFUcP/U5waAvqNeyHXm/h1Im1pCZvp7goA63WQEhEa4LDWuDnH4tO77ypZdGSEmchSRoCo1qSdWpXpSEwJfQmH/QmpzRC/JKkolJ9VKfHQ6JG/h+Fh/eR/e8/ZP69jMy/lyHp9XjVbYx33caYI506p6re9ErSTl5ia1WuJeq2vZmoJj0pyk2htDCL4rw00o5tIv3YvwD4htRDqzOSlbSH5MP/YLQEENf6JnwCY9AZvdGe36ROlcuEY8dXczThD3y8o/DyCSc0pAUBgQ3dev5Skrdy9NDvxNbrRXhke9JTd5F4fA12Wymh4a2o12QQAYEN0OoU1h2rJmXFuQSENyE/8xh+IfXPd9dUVDxGdXo8RNJo8G7UnMKjByk6egAA2Wql4OBuCg7uPrMgyA6MIVFY87JwlDpjUuQe2oFfw9a1YbrKNYDB7IvB7OvqdYpu3ofivDSMlgBnOoBDpiA7keM7F3Ng/ecAaLR6ohr1JKphD9cPXWFOEvnZifgG18XiHXrObZcW55J+YgvZyfspLcrCN7guYTEd8Atp4JrJo3IpcJ78/IJT5BecIiV5iyunTkx3ZNnBycR1hIa3wW4v49+1/wEkQiNaU6/hAIxGnxoNpxXmpaA3eKExVQRmdThsZCfv49C/X+Ow2/AOiCamxQBBKyoqFxfV6TlPtCZnV29In5soPLiXohNHzurdcf4tyQ6XwwOQ+OvneE95Ba3BeCnNVblG0enN+ATFuqVJkoRPYAyNu4zj1IG/sPhFUJSbTOK+5SQf+YeA8KaUFmWTl3H0dHkNBrMfGq0eh92G0exHRP1uSJIWrc5ASXEOmad2kpN6EI1Gi39EU3wCY8hO2ceexI8wWgIJi+tIWGwHDCZVc3GxiYuNp050V0pKcrA6Sjl1ch2pqTsASDyxBoDAoMYU5CdTnJZJXIO+RNXpgk537meSLMscO7CcE4f+dEuXJC3+YY3wD2uEw2EnNWEjJQXp+ATXI6pxPP6hDdFoBavIq6hcZK5Kp0fWVmhGPBKO1kB3oQ91LqdhiIggqFM89uIiSjNScZQUYS92fpAkihOOUJKR7Fa3KOMEXrENsVmU21fS7ojqaKzKeboi5Tc3XYlyPUkktha9DCodS8GVZxc8cz0WywqOiUjLpKTpkUWRoUXXj4dicYcw6rJynlAkf9o51xi8qNN+CABBQEizbqQeXEd+6hH0Jh/qdRuFX0Qj0g6tx2G34bCVIWk0ZBzZwoF/v3Jr0jskjrhOwwmMa4PO4HwhiJKHUJh6jLQjGzh5YAUn9i0jIKopoQ264BfRWNj7o1WI7gugVRA5i+55oTZElCecEemhvsuDZ1PNtS1mjN5mjFqJxhF1acxoko9v5NCuHwmLbk/qyc14+UbQtvsDePk5I+mfeakp9fTYbaWVHB4AWbZTmJ9KTtpB5NMXbXTrAdhsZexf+yl1Wg8kskXvSvVAOXo+VO+8OQQiZxWVcq7K2Vt1Z7yM5vTsLU8eLDURtjqsVpLmf0xRwmHqjJ6EV1yDKutlrlpG+j+/u74bQ6OoN/YRJEkSOhtKDoDnTo8gz0OnRzR93q4gBXAIJAJXgtMjrHMRnB6REFvroThdaWaRKDzBmThsVmxlRUgaLQ5rKTqTN1p91Sev/JjYyorJSNhC+pGNFGUnYbD4EVKvIyH1O2H08q9UT1tWKakiT3V6qs/pc5qdfoi9W77EbisBJCLjulCv5U2KjqdoeMumcSBJErIsk595jIKsEyQdWoPOaEHSaCjKTqpUp2mf+/ENrVtle+dyekryMijJTcM3spH74qLly1CUlbBt/rPq7C0VIVdlT8+lRKPXE3XXBBI/epes9X9V6fRkrl/p5vAAGPwChdMvVVQudzQ6PQbdaf2GybtadXQGM+GNryesUTcKsxJJO7yR5P1/c2r3n/hHNia0YVf8I5ogCeLRqNQcu91K4uGVbr0zkXFdqN/8JvJzTqLVGbH41GyNxHJBtCSBX0h9/ELq4+UfzeGt32P0CqBRz/9DZ7Sw9/d3kTRaGnQfq+jwiLCWFHDwz48pynSGCWnQ+1786zSrcTsqKqA6PRcESaPBu3krMlcuw15ciNbs5ZafvmJxpTqlWWmV0lRUrhUkScI7KAbvoBhi2w4m8/h2Ug+t5+DqTzF4BRDaoDOh9Tui1XgWzV2lApu1hJ2bPqQg95QzQdLQqOVwQqPbceLQCo4fdK6X2LzT3Xj5RpCfnUhG8k70Rh+iGsZjNPsJWnfHP6whbW55zvU989g2ABr3Go9veIMaBwJ12G1s/65i5fT6PcfhF92kZo2oqJyB6vRcIHzbdCBr1XKy1q8ipNcgtzyvhs0oPLTXLc2/RYdLaZ6KymWLVm8itEFnQup3ojAzkdTD6zi1ezmndi0jKKoV4fW74hMUp/aMekBJcQ4Hdn7vcnh0ejMNWt5CSERrjh9cxolDK4iq151TR9ewb9OXOBzO8VCjOQC7rZTUE5up1+pmwmLaizZTCVtpEUfWfk1u0j4MXgF4n9XDIzsc1erNK0g76vq7Ub9J+EZULR9QUakuV6fTo5GdH0D2YBBcqBtRaE7j74M+OITMdSvI+nc1de57CFNEFADBfQe5OT31xz2GKSTS9dZjUwjgB2BVGDWwm5RfmbQlyvus9VC3I9KNiKPpKx0w5Rp2k3KeSAskQqQXEOlGlI6JSMck1PSI3nQ9EYQj1uAoLTXhrKhQz1Nti8hG0YQd100lYbLEElsnlqjSm8k8+C/p+9aTseq/mAMiCGncleCGHV16Dp2+6otIpH/yZFmUc7XpeZRtBU2Vh1GXzwyYabOWsH/jF+SmHXKl6Y3eNL9+AhbfMBL2/s7JQ38R22IgkU17EdywM9mndmP0CsQnpB4Gky92azFHty/k0NbvsETEYvZ1D1egFJTUoYOsE3vITdoHQFlhNqlH1xHavDv2shKO/DmP/OTDtB49C52xQpxY1X5bohsQc/0I0EhYYhpgP+MBLMsy6bv/JnXHX4Q0v56QFt09Om4q1xZXp9NTS/g0a0Vp0klkmw1rdqbL6TGGRdD88TcB542qvrGqqIjRGS2EtYwnrOkN5CUfIn3/Ok5s/Imygiyi21ex/tI1jizLOOw2SgozSNy/goyT2115Gq2eiPrXE9WwBzqDheN7lnLq4CriWg4mqmEPHIDFNwyLr7umR2ewENW8N5nHt2ErFcyAqILABu0xeAdSmp/B8TXfozWYsVtLOfTHRxSmHQPAYS0Fo2BGBiBptAQ36VzJWbWXFZPw5xfkn3TGSEvbuYrAxh1rZKPKtYnq9FxA/Np1JuPPpQAYAoOrLKM6PCoq1UeSNPhFNsYvsjEnNv5MxuFNhDRxrrRdmJmGd1Cs4oyxawGH3UrCtoWkJfxbKc/iG05Uwx6E1GnrWmYkJ+0gpw6uom6rm4hscO6eEUly1qvu0hEV9SR8IurjFRpL8tblnPx3EdbiApfDA5C2by3eobGY/MMx+gYB1VsKRZZlTvy9gKK049Tr/384rKUcW/ElZflZNbJR5dpEdXouIFqvM8eirppIACoqlwVhzW4gJ3EPu354sSKtYTfqtr+lFq2qHWRZJvngao7v/NUt3Te4PjFN++AbFFflempZSXvRGbyIqH99tbZTrruRPVgRHkCj1VGv1xj2L34X2WEjuEkXMvavByB110pST5cz+oXgFRqLw1pKWWEutuJ87GXF2MtKCG1xA1Fdh1bsw4GN5BzdTlyvMfjFNOPQr3MwB0djCgj3yEaVawvV6bmAyPaKt6Hjc94AwFy3IeFDb0evC6wts1RUrgqMPoE0HfwQqXtWYw6IIHnbMkryM2rbrEtKcX46x3cuITupYqkbn+C6NI+fhNYh7kVOT9xO8tG11Gnap9o9zq6eHlF0zHPgFRqLOTCSpC2/EdLserzD61GQUiFQDqjbmuyEHZTmpgMQ2KAdOdkpOGxOsZ21uMBVNvfEXhLXLiSoSWcCGrSlND+LgqTDABz9/WOPbVS5drgqnR5Zc4Zg8ULHXhQIoyVD5Ter4oRDJLzzMk2e/Y9ykyJxpUKetlQQWVkw/C4M4CcIsnb2St5u9QRCWllRAC1YmV0genWI8kS946II0IJqkkI90Yuvpyu6iwPgCaoJRdUikbNCHYGgXSSMFl3HDsGK3KJzevbxksw+hF/v1PSUWQs4tf4Xtv/+OtbCPIKadiKy82Dx+l6CY6zxNMijwH8QC6errqhUJ+vINhJWVUTA9g6No3HfSWi0OuyI7jVAkkg+tg6/iMZEXtefM3fHJhgdtBqdN0CZSabUx90wWeHeqMr+On1HcWr1j+QmHaAsx+ncaE1eoNGQnbDDraw+JBTH4TIsEXFE3HAzlohYynRQlHychN8/wbteU7xbtmH/orcpTjnh3D2tjsKUBOUdUVE5zVXp9NQmwQNvJmPpL9R9cgYas4nCvbsxRkbVtlkqKlcdIS27YyspwFqUT0HyEdJ2rCKkRXcMPgG1bdoFpyDlqMvhCW3clfAWPTF6V7/32GG3UpCZSHiTms1wkk6vk+WwCqY4VoOMnWtw2G2Etu9NWW4GaZv+xF5SSGCLLmgNJizhsWTt30z+0d2krv8NgKC2N6D38Sd981/4NGtLwdF9aE1mgtr34Pj3c93aj+w5DK3ZixOL552XnSpXP+cV9vSVV15BkiSmTp3qShs3bhySJLl9Onfu7FbvwIEDdOvWjejoaGbOnOmWFxfnjMexYcMGt/SpU6cSHx9/PuZeGmQZyWBA6+ODRm/Ap/V1GEJqFulURUXl3EgaDZGdBhHb847TQliJlC3LKM5KPmfdKwFZljm+7ke2ff40B5b8F4BGN44ntvPwGjk81pICDv3zJbJsxz+yaY1scFidMS7ykw55JBSWZQcFJw+RtXcjxWmJnPzzW7yiG9Bo9BP4NWxDUXICGTvXcnzpZ+QfrRiyC2jekfyEvRyY9xIp//zKqaXzKc1Kx15ShK0gr9J28o7uUR0elWrhcU/Ppk2b+PDDD2nVqlWlvP79+zNvXsUFaDC4B1eZMmUKY8aMoUOHDkycOJHevXvTrVs3V77JZOLJJ59k9erVnppXa2i9vJDLynCUlqI1CQLOqKioXDDi+txFxt71ZOxaQ+b+jfhENyK0VQ986jS54mZMJm39neRty9HoDC5dC0C93mPxi2pco7Ycdhu7/3gHu7WEup1uwzesfo3q68w++EQ3JnP/BjL3b6DRzQ/iFRZXqZwsyyA7XOJpa1E+WXs3knNwKyVZKa5y4V0H4RVZD0mjIXbAXa6yuYd2oPPxJffgdnIPbid7z78Y/III6Xgjem9/kv/+Gccp5/DVqaXzK22/OOU4Yd0Gkrp2aY32T+XawyOnp6CggNGjR/PRRx/x4osvVso3Go2Ehysr6XNycmjbti2tWrUiMjKS3Nxct/wJEyYwd+5cli5dysCBAz0xsdawFxSAVovGeO1Oo1VRudTojBbC2/YmtFUPco7uIG3nao4s/QhzcDT1B41Hb67e2mCXA4XpzjWmznR4dGYfAuJagUhbdJqy4jwKMk9QnJPCyZ3ONf/qdx1FcN12NbZFo9XRYOAETm1YRNrOVTjslQ2wlRaz+5NnAWg4/CGyD28na+96kMHgH+JWNmXdElLWLanURuyge/Bt0AK/Bq2QB9zpXM7HZHE5UX6t2lOansyRL944XUPCFBZFcIeemPzDMAWF47CWqU6PyjnxyOmZMmUKgwYN4sYbb6zS6Vm1ahWhoaH4+/vTo0cPXnrpJUJDK6J5zpw5kz59+lBcXMzgwYPp16+fW/24uDgmTpzI008/Tf/+/dFcQYsP2vJy0fsHXHFvlyoqVwMarY7Ahu0IaHAdBUmHObzkA3KP7iS4edfaNu2cOOw2Tmz4ibyT+11p5sBIQpp1wz+mRbXasFtL2bvsPUoLs11poQ26EBjb5rxs841pStrOVRz+dQ5e4fUwB0bgE9uYwtTjFCZXzMQ69OM76MzeBLe8npC2PbGVFHBg/mvnbF/vVbHGmiRp0Fkqvst2O4UnD5O980zJg0xY90F4xzVG4/nEMpVrkBo7Pd9++y1bt25l06ZNVeYPGDCA2267jdjYWBISEpg2bRq9evViy5YtGE/3fgwcOJD09HTy8vIICQmpsp3nnnuOefPmMX/+fMaMGVMjG2XtGTNaFCY0CEPHe7hUgCxBaWoyhvCISpO8hDNsRMs/FFedrhEtneDhLCDhcgzCMB2CWS9KbQqXMxDM9BEsQyEJjrHo+IuUbaLlKxTtEJxP0XEUzvqqXty2GqG0PdFMJY3VM2deNENLdE+JjqViPcn5H0u9hlhCo8lLPULAded2ehz6ms90A/EMLdEqOBq7c2gnc/9Gck/so+iM2Udaoxmt0YKMg7Q9a0jbswaQle+b07NUHbYyrMX5NBn0AEbfYCSNFq3ehM2obKRoGZzyPF1gA8KKbyZn92YKU45SmHKUjL1rAQmdtw+hvYag9w1Aa/HCO6IeZblZnPr3V3J3b0ZjNOPXtC3GwFBS/voZgMDO8QTHD0Cjq7gwys64xh02K4UH9lB45AAFh/ZiL8hH5xeAT7M2+DRphd4/CHNkHeyA4/QxsV+Ee0Tl6qNGj/TExEQeeughli1bhklBr3L77be7/m7RogXt27cnNjaWJUuWMGzYMFee0WhUdHgAQkJCeOyxx5g+fbpbm5czsixTlpKMb6fL/61SReVawBJZj9xDO85d8BIjO+ykbltFypblyMj41mmCOaQOyDJeoTFVBhaE006zQi+ydNoL9A6rh3do3AW1V5Ik/Nt0Bo2G1OULMQSFYo6MI2LQ7a58gNLMNPa+8QQgo7P4ENp9AAFtuqI1OH8v/LpcT/7eHXjVb+Lm8NiLCynJTKU4MYHi40coPpGAo6wUQ2g4vs3b4teiPcawyGotUqqiIqJGTs+WLVtIS0ujXbuKsWG73c7ff//N+++/T2lpKVqt+80aERFBbGwshw4dOru5c/LII48wZ84c5syZU+O6tYW9pBitxau2zVBRUQG8IuLI2LqKsvwcDD7+tW0OAKW5mZz4cz5FqccJadGd8PZ93Rbe9DSWkMcLn56mLC+LsrwsvCLrIjsc2EuLcaAje/t6SpITKTiyD9lmdZbNTKMsM42IQSOQJA22ogIO/3eWKx+g4YTn3BwbgNK0ZPIP7CJrwyqC4/tz8puPnLZrtch2O5LegCW2HoHdeuHTrDWGYKcsQtQLqqJSE2rk9PTu3Ztdu3a5pd199900adKEJ598spLDA5CZmUliYiIRERE1Ns7b25tp06YxY8YMhgwZUuP6lxyHA+x2pCqOg4qKyqXHElEXgKLkYxh82tSqLQ5rGdmHtpK0dhE6o4WGN03BO6JerdpUTsHJwyT84Hy5NIVEUZJ+yi1fYzQR2P56TBExmCPqYCvIw2EtQ5I0lKSnkPDxbFfZoA7xhHbrX8nhsZeVcuLz93GUlQK4HB6A4PiBWBo0whgShqRVw8epXDxqdHX5+PjQooW7oM7Ly4ugoCBatGhBQUEBM2bMYPjw4URERHDs2DGeeeYZgoODueUWz9bHGT9+PG+99RbffPMNnTp18qiNS0VpchIAuoCrLziaisqViN7LB4NfEIXJCfg3alNrdhSln+TY0k+xFuTiV68FdXrdgV4nENNcYjK3r3H9fabDozVbCB8wAt/G7qFJ9H7OOEGyLLs5PI0efqnK/ZJlmZxdG3GUlWKJa0j4wNsoSU7EXlKMX8t2aAxGse5OReUCcUFdaq1Wy65du/jiiy/IyckhIiKCnj178t133+Hj43PuBqpAr9cza9YsRo0aVf1KGtn5AUUloWh1CqFoV9CHbMtwhlc314mrVEzUPauxKucp2SJ6QIjCyouEuRq7YIkNQZ5IyGkoqPp46YqUD7LdoNygaPkN4RIVylnYBeJopeMs2mcFOcY5DRHNQhEKegWIr+Wqk+2Ca0QoSBYg/EETDed4IBI++9yYo+tSmJyAzSg+xqKnodWinCdCY4OsnetJ/usnDAEhNBg2HlOwM5yHXFJ1HdGzwmEQLN8iuI5L/d2/y3Y7palJaIwmihKOkHd4F4Hx/cjbtQWNRos+IAivRk3x6+KMn1bV5ec8zhKhI0aT9v186jz4KI5QMyVa9xMq2+2k/7iA/M2bMNVvQOjou5C8vDDHBjvtRrwUTHWxF6pjYCrn5rydnlWrVrn+NpvN/PHHH+fV3rFjxyqljRw5kpEjR55Xu5cCe2EBkk6H1nT5vMGpqFzrWKLiyN27FUdZKRrtpY2flXtgO0l/LiCwdTfC429GU8tDN6XpqeRuXUf2xjVu6aboGAK79SCwWw8kvaFidfVqtGkIdjovRYcPofMPRONdMcnFXlREyhefUXIsgZBbR+DTvtNFC+dxcs67F6VdlasLdfD0AmIvLERjUIMSqqhcTpij4kB2UJx8Ap/ohufVluywU5J6EntJCbLs7EZzzpCXnH+dni6PBI6SYk798S1+jdsS0WtYrcfuKjiwm1PffeqW5t20NcH9BqH3D/R4ZpQxMhrJYCRz6SJy162hzmOPY8vKJv3nnyg9dRJJkoi49z4sDRuJ5/CfJ37X30Dmzz9etPZVrg5Up+cCITscZK/5C3PdBrVtioqKyhkYA51r3xWnJHrs9Fjzc8n89y9y92/HXphf7Xqm0Gii+t5e6w6Po6zU5fDE3vcI9sJ8LPWdS3QorZZeXSStljpTppK/YxvZq1dw4tWXXZHp/W+Ix69rN3R+fhdgL8T4tm2nOj0q50R1ei4Q2X8ud065NAgG1lVUVC45ufu2AmCpU7N1p9za2LuZrC1r8GncmqD2PdD7+FXEyzktEJTPFArKMkgSRpNfrc/mdFhLOfHZ+0h6A1G3jcMUEX3Bt2EIDSOoT3+MUdEU7tuFo6QE3y5dnb07KiqXEVel0yNzRi+qgvBYFNNCFnTBKuUU7dsLQOjNt1VvINxtgzUsj1gYKsqzC+RGJaKo0R5qBCWFYymK7CtrRYJqwbZEL9OiK10klvWgx98hOo6i6M+CPFE9T64fEIicRRGSPbwORAJokUj7fGf0OGxW0v75DZ8mrTHHxAoFsyLRd2CrbqStXoJXdH28IuLc651rUoRCvtK1Jbrm7ILjWNW9LcsyqcuXUJqeQvSUhzBGRVcSJTv0yjsg60Q7VznJ1LEZxs4VK7nbzlbuX8QOL4dOFTKrnBs1vOUFoCw9ndJTJwm/7U50XlfOwoYqKlc7+ft3YsvLITT+/BYu1hpN6Cw+5O3fhuy4cn5cC4/uJ3vzPwT2dfbCqKhc66hOzwUgf9NG0Grxalq9RQFVVFQuDUUnDmMMDscQqLzkzbmQHQ4Kjh/EYbNSdCqBstysC2jhxSV312Z0vv749+hV26aoqFwWXJXDW5cafWgY2O2UJp3EHHd5RFhVUbnWKUk5Sd7+nfi36ljjurIsU5J6ktw9W8nbtw1bQR6GgBBCeg/DGOC5A3WpcZSVYsvLIe27rwm7Y3Rtm6OiUuuoTs8FwKddezJ++oGSkydUp0dFpZZxWMvI3raetL8WYwwOI7Bzz3PWkWUZe2EBpZlpFCUeIXfPVsqy0tBavPFr2ha/JtdhDo+p9VlYNaH41DEKjh4AwNKocS1bo6JyeXBVOj2ypkIMqCQyFGk/RaLRKnW5kgSShEPjwGFQEE47lB+WoojMSpGjReEuRMJQTyL0AtgEa6gKI8gqXGFl3soHWSR61ZZ5licSm9pNynmKx0TQoDAUiUhArxFUFIhNEVxbIs53gcpK7QmuLbvCfQHiKNsiIXNV9tuLCjn2wRvY8nLw73Q9If1uQtLpKgTMp+vY8vPI27GZ0rQUrBlplGWm4ygpdrarN+DTuCVhfYfiFdcQSaNFW4xiNG0PTzc2hetOGFlcMDnU6uO+tVMffQMOO97XtcPcuRV2XdU7IIuEzHrlkyppFep5emF5eiDL0XgYtlzlmuKqdHpqA1NcXfK3bMK3Yye0Fg9j1quoqJwXBQf2YMvLIfb+JzCGhlfKL8tII3vdKvK2bwKNFmNYBIaQMLybtMDoF4oxKBR9QDAa3ZX/aAwZOYrCHdvJXb0abWgAhsgI0j/9Ep/uXQkaMay2zVNRqRWu/Dv7MiFw8BBOvfMWuWv+JrBf/9o2R0XlmkQ6vbK3LS/XzekpPnGMrLV/Ubh/D1ovb4J69sevfVe05op53trSS27uRcFRXAwaDaaYGEwxMRTu2UPu738SfOcdAOSvWYelZXPMTdUhL5VrD9XpuUAYIiKQtDqKDh1QnR4VlVrCp1krcrY24NQXH2Cu2wBTZDQliccpPpGAPjiUsCG34dO6/VXRk6PEyXfexpaRgXf79vh27YZG73QEM7761lWmaM8+1elRuSa5eu/8S4wkSQQOGEDmol+w5eZekrDrKioq7khaLdFjJ1Kwbxc5G/+h4MBedD6+RI68G6/GzZGEUR6vfOxFRdgyMgAo2LyZgi1bKgkDtb6+WFo0qw3zVFRqnavT6dHIzg/KQmCRsFjWCFRzgmjB5uuaw6JfKE5LxBLm65anJOgFkAUzQpS63IURbgWCUqFo2tOIzAIBotJ+SwJBpl2Qpy9UztPYlM+b3ahspOjcKEWrFUaqFSC67kQnThSlV3JcYEWyCIH9QpG8SIctEDlLdsHxUtTRavBu1RrvVq0rZ3oYV1B0b4ivn5rn2czOHbPl5aH19nZbCNSqK6J47wEkjQZHWRm21AxkqxVbRiYyMtZTKa6yxkZ1kcwmSnbsAyDw7mFkzfsJe14ehtbRyEan8FfSKp84rYL4GUCj8JyURM9PT6lGk3YEDzcVldNcnU5PLVF6PBEAfWRELVuioqJypXNi1gug0VD3ldcoPniQ/E3/UnRwP3LJGW9CkoTGYkYfGY5k0GJsUp+AUTdhbtkEgMIN2yjZsQ+f/tcjaSucJ1tqBoaYyEu9SyoqtY7q9FxAbDm5SAY9+qDA2jZFRUXlasDh4MSLM7Hn56P19kYfGozGy4wtJx9bcirIMo7CIkoPHcW7R0cC7xruVt2rc1u8OrdFOt0zab6uGXKpFV2gOvyucm1yXgPcr7zyCpIkMXXqVFeaLMvMmDGDyMhIzGYz8fHx7Nmzx63egQMH6NatG9HR0cycOdMtLy4uDkmS2LBhg1v61KlTiY+PPx9zLyqyLJO9cBFymdrFqqKicn5YsyuWurDn54MkYS8rw5qWQcm+w06H5wyM9WLxu7nvOdvVellUh0flmsZjp2fTpk18+OGHtGrVyi199uzZvPnmm7z//vts2rSJ8PBw+vTpQ35+vqvMlClTGDNmDL/88guLFy9m7dq1bm2YTCaefPJJT02rFYpOO3aWNq3OUVJFRUVFmaIDB0h8+SW3NEN4OJIsO4e2tFqM9ePwHdCbiOceJmbubMKfuB+tn08tWayicuXg0fBWQUEBo0eP5qOPPuLFF190pcuyzNtvv82zzz7LsGHO4Feff/45YWFhfP3110yYMAGAnJwc2rZtS6tWrYiMjCQ3N9et/QkTJjB37lyWLl3KwIEerI6slZ0fUBReygJlnFBsqhCFtHDbVjReFoLvu6PKKKYOpeilgKxTVklKOVX7pSJhpUisKRLEivLsZs/EpkptKkWjBbH405CnbIdIpC2MhCw8NwpCZpNAdCxor1qRZWuI8HoV4Uk9pZkBAILrQCRyFgbwFVzLSm0KhfyCcNmeiI5BHNHbbqz5tZXz3V9u3/UxERjqx2AJaY0xOghzi/pozMYzSjgvfJ1BOSKxRnCQlQTJAFqNICKzQpuertQhurTE9ZwbtNvViMwq58ajnp4pU6YwaNAgbrzxRrf0hIQEUlJS6Nu3opvVaDTSo0cP1q1b50qbOXMmffr0wWKxoNFo6Nevn1s7cXFxTJw4kaeffhqHQzQl5PJBMpmQDAYcJVdJhDMVFZVaIWDUYCwdWwLOGVeRsx4iaNwt+A2Kx6tDs7McHhUVlZpQY6fn22+/ZevWrbzyyiuV8lJSnNMlw8LC3NLDwsJceQADBw4kPT2dpKQkFi5ciFZbudviueeeIyEhgfnz59fUxFrBt1sX5LIykme9jTUlrbbNUVFRuUKwpmcgn9HNYYgOx9LROUxuiFFngqqoXEhq5PQkJiby0EMP8dVXX2EyKffpnr0SsSzLldKMRiMhISGKbYSEhPDYY48xffp0ysoEK0leJhjrRBMx/WE0FhOpb36ELSuntk1SUVG5jMn5bRnHHnyMU7NepexEoltexvvOlz1DXFRtmKaictVSI6dny5YtpKWl0a5dO3Q6HTqdjtWrV/Puu++i0+lcPTxn9uoApKWlVer9qQ6PPPIIxcXFzJkzp8Z1awNdgB+hU+8DZHIWLattc1RUVC4z5NPD9dm//UbOb6efEZKEoU60q0xZUkVP8ZmBCVVUVM6fGgmZe/fuza5du9zS7r77bpo0acKTTz5JvXr1CA8PZ/ny5bRt2xaAsrIyVq9ezWuvvVZj47y9vZk2bRozZsxgyJAhNa5fG+j8ffHq2IbCTTtr2xQVFZXLBEdJCbmrVpGzbDnGunUpTUgAIOY/L6MxVIQgLzl6jJS33wfAp2+3WrFVReVqpkZOj4+PDy1atHBL8/LyIigoyJU+depUXn75ZRo2bEjDhg15+eWXsVgsjBo1yiMDx48fz1tvvcU333xDp06dqlVH1lTMGpIUp8sIZhwJp5MIpibYTs8iyC9GYza5vgNovZSnFtkFs2gcBVW/6emKlc0QzTQRzfoSLnUgmJkjmjVlN1edLgrdrxFMwtAIZvPoi5RF70VV6MbKkUVLhCgtkWAQhOcXhO5XmvFyLmTRsimCGUni2WIK9UR1hHmC61g0s0u01ITgWlCcvWUTtCeaRSbIE12vNi/linaDlcIN28j67HtXWrnDA5A272NCJ92KLsgPa2oWGV9/DUD09DvxbtMAKHFrz2xUvtmMOs9mb3l8TYquOw9wCNqrzrZsVjVGmsq5ueARmZ944gmKi4uZPHky2dnZdOrUiWXLluHj41kMCb1ez6xZszx2mmoDXXAgRVu24ygucTo/Kioq1yRlx0+5OTwAIfePQx8TRdITL1Gy5ygn7p+NsX40jsJi7PmFRD098rTDo6KicqE5b6dn1apVbt8lSWLGjBnMmDHDo/aOHTtWKW3kyJGMHDnSo/ZqA6/rWpO7+A9KE45jbta4ts1RUVG5xNjz8pGMBrQ+3m7p/rcOwtzaucK5qXEstsxcDPWiKPrXGdw04rl78bmuziW3V0XlWkFVyV0EdIEBaCxmsn9eii07p7bNUVFRuYTIDgeJz71Ayvv/Qxvk75anj66Ygh44ZiD23AKKdx5CFxpAyORbMTevd4mtVVG5tlCdnouApNcRNnUijqIiUl5/H2tqem2bpKKicgmQ7XaOT30CAI3BQM6PS93y09/+2BXA1FQ/Gq9OLZBLygi57xZ8ure95PaqqFxrXJ2rrGtk5weQFcSaygJnhIJMocj5jHDuhtgIwp+6n9Q3/kfSi28QMmEY3te3qbKaMaCkynQAW5GlynRdsWf+qlUkrRLpGQWh6rEqHy+l5SYcgvD8hlyR6FXZDIdOIKQVCbgVlgMAwFz1BiWtZ0JmUch/EaIQ/WIhs+CYKAh+Re1pBPstwmEXrXEisF8wZVsW1VOso5zn0Cu3Z7co77fDq6LRkv1HXH9bs7IoOXTErazGYoLMI5ha1sVksFJQx4cCwLpnLyGdIwHwNirHJbPolfN0giUjPEUkLlbKE9XxdFsiyq9Xm+7aEzLb7XZaNDHTN96Ldz7Krm1zrgjUnp6LiM7Pl4hnHsLSqinpcxaQt+JfAOz5RTiKS5EdDrdIrCoqKlc2Z05csGdW/hFyFJVwcsZngDNoa+7a/QAYQtWVz1VqzsKFC0nNsPPx/FwyMzNr25wrgquzp+cyQmMy4n/rYIq27Sbzk1/QhweT8tInVZat+8mT6Py8LrGFKioqFwpDbBShT00k7dX/VcoLvPUGsn74G4DCbYcpyEyn9IRz6Duw/3WX1E6VKx9Zlnn95Tt5bmogS1cU8t/XGjF9tur4nAu1p+cScOYSHEoOj6TXeb7MsIqKymWDqWFd/Ib3r5RuLygm8iln6I1TL35J0gfOiMwhw7ug0QvGX1VUqmDNmjUcOGLl3tF+PDopgPc/zaW4WBDATQVQe3ouCbqgAOK+mEnp4USSZ37kSg+eOByfG65DZxAIDVRUVK44/Ab2dM7g/HKhK82eXYAxNtT1XdJp8O3YhIhxvWvDRJUrnNkvDmTiXX74eGvoG28hIkzLZ+/FMemJ1No27bLmqnR6JK2MpD3da6IUdFagmRNFZhWKfUWBYK1G9LEN8L9tIDkLnDM6Mv73I6ZmLdCGK58Gh2/VUVZL7cphl2W9spGyr7LYTxKIbB2lgojGuTW/jESRoUURpUv9lQ+ytlR0UgW2CITMSoJlrV7ZUdUJhMx6nWcOrjharXI9m03Ug1B1niQIe60V7JsIkZDZJrq2RI0qhhAXCaOVs0SRlc8UK5+N1lz1PerduRHWLVEU7D0FQPGeBPIWLHflRw9tTf0JPYAit3q+hlLFbRlEIckFOATHxBOx8rnyPGpPdN6qgU1/7QiZ9+7dy59/F/HB604nWpIkHpkYwEtvZzH+UTtaQQT6ax11eOsSY2rqjLSq8bIgmY3Y8wtr2SIVFZULhSzLZH62mIRRz5I0/X8uhwdAtjvI/MsZhDCgW2OiblF1PCqe8Z8XuzBqmA8RYRUvnHcM9aG4RGbRokW1aNnlj+r0XGIMsVFoA/0xNogl+p3n0YeH1LZJKioqF5DiXYcBsGfmuqUH9mjq+rvekzdjCvVsaR6Va5ukpCS+/imfRycGuKXr9RIP3efP7JdGqbOCBahOTy0QcPsgincfIGXme2TN/wVbdn5tm6SionIBkCSJ6DceJu7LmYQ+eIdbXsbvO7DUC6PhzBGqcFnFY955pQV9elho2shQKe//Rvuy92AZa9eurQXLrgxUp6cWsLRvRejD96KPCqNw3RbSP1K7I1VUriYkrRavzi1pM/+BijSdlqKjqVgz1JccFc/Iz8/ngy9yeWxSQJX5vj5aJtzlx+wXK88eVHFyVQqZz4zIrIQkEM3JHkZrFgVrPrtJU5MGGOrGkDLzHWyFZViLqz4VBp+qI7BaPRSUBgYqa4hEEV1zCsyKeaWiCL4lVfvVIg2kzaScWVr1vQ6Arkg5z1Z1YGsnIv2zwnUkEisb9FULWwGMOuU8reCa1WmVBaylVuXbuFSrnGdXEGMbBfaLsDuUD2RRsVExT6NXPpaiNmWtwvFSSgfsApE/FoE4XTDD0mgSREk2enPdL4/jKLWh9TKyZdCrHHv3N4L7t8HfWHUkdm+dspBZI3jIeCoStgnClXskVvZQkOxpROZyrIJ75Grhwzfq0aSBges7KYS6Bx78P38adD7G/v37adKkySW07spA7empRawnkrClZuA34IbaNkVFReUiodHr0HmbsBdVODOlabmCGioqlbFarbzzUQ6PTvJ3i/12NpHhOkbe4sN/ZnW6hNZdOahOTy2iCw8GnZa8ZWtxFCmvv6WionLl4SizcfKzVdhLrOTtPM7229925Z36bFWt2aVyZfLdd99hNEoMHeB9zrKPTvRn/k/5pKSkXALLrixUp6cW0fp4E/LAOEqPJpL21ufIZddOnAkVlaudot3HSPl+PduG/YeDT30NjoqhqaxVe7GXejaMqHLtIcsyr79yLw9P8EerPfcwYLPGRnpdb+bdV5pdAuuuLFSnp5YxN29E2KN3U5Zwksx5PyE7LvxKySoqKpeeM6MvV8XfE3+6RJaoXOksX76c5FQ7Y0f4VrvOY5MC+N8XuRQUFFxEy648aiRknjt3LnPnzuXYsWMANG/enOnTpzNgwAAAxo0bx+eff+5Wp1OnTmzYsMH1/cCBA9xzzz0cP36c8ePHM336dFdeXFwcx48fZ/369XTu3NmVPnXqVLZv386qVauqZackyS4BqqLsTyReFUXvFfgkwtAIgjaNDWIIHDeUzI9+QOvng/+tfZF0zlOjJGA1+yuLJ2WBINDPpLw2i0Wn3NNkF7RZVlR56qTLltKq/WpR1GtRhGSrILRJmeB5YDcrt6lREIuDsoBVJFa2GJSPo0EgZNYLou2KBKxGrXKbVoFIVaNwd3gqRLXalbdVWqYcZlvSCMTKdg8iAgsErRqBIFkkVraYla8Rg9L2okx0/mgkZdnFaAxaDn7wD3n7KpYIyEvIxGIvQGdyfwybtcrbEmEThDkX3b86wc3oiTj6fAXJNcVxOjK3KJL4lc7sl4Yy5R4/zObq91Pc0MVMgzg9H79Vl6nT0i+idVcWNerpiY6O5tVXX2Xz5s1s3ryZXr16cfPNN7Nnzx5Xmf79+5OcnOz6LF261K2NKVOmMGbMGH755RcWL15cKZ6AyWTiySefPI9dujLxvr4dvoPjyfv9H9Lfm489R53WqqJypZL46Uq2j3qXk7/u5sjnG9H7mogbURGBObBdHWSbTM6R7Fq0UuVKYOvWrazfVMKksf41qidJEo9ODuCtD3KwWlXpRDk1cnqGDBnCwIEDadSoEY0aNeKll17C29vbrSfHaDQSHh7u+gQGBrq1kZOTQ9u2bWnVqhWRkZHk5rrPYpgwYQIbNmyo5CxdCwTc1o/Qh++ieNch0t76/NwVVFRULktKTmRgzS7k5C+7yN2TzPp75rPn9RVozXravDSYwuNOZ8forzyVX0UF4PUXezDuDl+Cg2oe0HLYQG90OokFCxZcBMuuTDzW9Njtdr799lsKCwvp0qWLK33VqlWEhobSqFEj7rvvPtLS0tzqzZw5kz59+mCxWNBoNPTr188tPy4ujokTJ/L000/juAb1LebWTfAb3IOyY6fI/OIXZIcaTlxF5UpClmW0PmZCBrXFFO4cc43o04TYW9vg0yCY7c/+SmmGU2fhHakuRaGizPHjx/lpSSEPTxAEKBOg1Uo8PMGf11+5R12a4jQ1dnp27dqFt7c3RqORiRMnsnDhQpo1cyrEBwwYwPz58/nrr79444032LRpE7169aK0tCI+xcCBA0lPTycpKYmFCxdWuRrsc889R0JCAvPnzz+PXbty8R3UA6/rr6NgxQasGWo8DxWVKwlJksj8cxfpS7ZRkpIHQEl6PpJBR1mOU1PXeuYg7lhxpzDeiorKmy+24aZ+XtSLVdbEnYtxt/uSeMrKihUrLqBlVy41jsjcuHFjtm/fTk5ODj/++CNjx45l9erVNGvWjNtvv91VrkWLFrRv357Y2FiWLFnCsGHDXHlGo5GQEOWFNkNCQnjssceYPn26W5vXChqjAa/OrSn8ZytymTqtVUXlSiFv53GMYf7Ue/Imjr5WsbxM9vZTZG8/RZ8VDyBpne+aBrOq21NRJjs7m0++zmXFj9Hn1Y7FomHKPf7MfvFmbrxROSL/tUKNnR6DwUCDBg0AaN++PZs2beKdd97hgw8+qFQ2IiKC2NhYDh06VGPDHnnkEebMmcOcOXNqXFejldGcDkUvK8x6cdgFnVyC2SSSaIkKT6licxovZ5jxkoRU9JHBIMtImgqb/cyeBTP0NSiHuA8zKT+EfQ3K2zsmmC2TYa46kJY1W6BlsApmoZiUj7/isgQA3srOo84omNGjsG8mwewtH4XlBQAMghkmomVARIjq2RzK17nSjDBRHRGphcpDNaLZbnYPt+dQWApEK1oiRKd8/L2Mgll8gms8wlJx3/zw5NeK5YYuGI6vd8WPjq+u6utE5+EsJJtADmCVlY+xQ5QnmMknmhF2oRHZCM7jpdFcXWLdNWvWEBOlp0Mb5SUnqstdI3yZ+UYWNpsNne7qXH2qupz33suy7DZ8dSaZmZkkJiYSERFR43a9vb2ZNm0aM2bMYMiQIedr5hWHNsAPbaAfSW/+AG//CICpfiSGiEA0ZiPmYc3wri+OA6KionJpsJVY2fPRJtf37u8MxivCF0d2Dod/PkDzMS3xjfGrRQtVrjRkWcYsWIewJlyodq4GauT0PPPMMwwYMIA6deqQn5/Pt99+y6pVq/j9998pKChgxowZDB8+nIiICI4dO8YzzzxDcHAwt9xyi0fGjR8/nrfeeotvvvmGTp2urXVEdIF+RL70EGXbtjh7ghwyRXuPY03LwZqWw7Y/NhM7rhsxd3Y5Z1sqKioXj+yDGWx+8S/yT+TQcnInGo5ohUbv7K20xJoIbxNeyxaqXKnIyDg4/wk9F6KNq4UaOT2pqamMGTOG5ORk/Pz8aNWqFb///jt9+vShuLiYXbt28cUXX5CTk0NERAQ9e/bku+++w8fHsxkKer2eWbNmMWrUKI/qX+lIJgO5f21DF+iL1ttEyZFkrClZ+PXrgFlbyvHP1pLx90F8m0eCJOHXpg4hNzSubbNVVK4pVtz9AwA9PxhKUAvVwVFRuZypkdPzySefKOaZzWb++OOP8zKmPNLzmYwcOZKRI0eeV7tXKrLNjr2whJLDSW7p+f/soun8+whoH0fmhiPk7jqJvcRK8uLt6Geb8WtdRxjlVkVFxTNkWSbrn0Oc+nEzRQnpbiElVIdH5WJgFy0DcAnbuFq4KhVNGq0DjdZ5kh0Ks/I1gu4+2SEIiy8M0e+ZoyEpCEq1Jj2x7zxM6YkUirYfxqtjEzRmE1pfL3JlO7QNJKhtW4IA2e5g/62z2PX49+j8vYieMhDfzo0qTYkNMSur98OMeYp5DSzK4twAQ5Fi3hFjcNXpctXpADZZINzTCMTKRuVzqjUo55kFAlalJQYseuU6ouU8TIIlIzSC5QBESwUIEcQzUxIylwmWrhBRZlaulyuZFfPsgvvNqhMso6Fgv1Gw1IdoyQ6zXvm8hZvzsBZZWfnUSpI2JBHRMYLG97YCDWhKSml+SwO8TJXvH9GSEnqp5oJluyDKiFawVIlGIBYXi4RFttT8eXcxl6jQerh8x+WMDDguwOSZC9HG1cJV6fRcbRhjwjHGiN8iC3cl4N/nOjRmI9bkdI69tADvtnWJefgm9IFqADQVlfOhrKCM1c+tJn1XOje+dSPR3SqmEXtfhT+2KipXK+oq61cY9qIScv/YiDUtxy09/euV5CzfSt7aPdSdfjtx00ZQciydgw9+TOG+k7VjrIrKVYC91MbXvb7m1LpTxL8c7+bwqKhcXJxC5vP9R1Z7elyoTs8VRunRJNI/+ZXUL/50S49+cgTGuuF4ta6HJEn4dWpEo3f/D0NEAMdeWoA1Sw2EpqJSU2RZJnd/xcroUV2iatEalWsNGbDL8gX5qDhRnZ4rDEuLekS/PIGwe9zXLDvxwleUnkgjYuJgV5o+wJu4Z29DttrJ+HXzpTZVReWKRnbIbH1qMf8++CM+UT7cssCz0BsqKiqXD1enpkcjI50WvCoJlh2iNW881SoLvGlZJOATZFXVpLF+NHqDuyBTazGC3UHq58uIuG9ARYa3L6YGkeRtTSB41I2YtMpizaJSDSV5ZRRnl1KcW0ZxbhlRrYPwCjIRpleO5BxuUBZA55qqFrBm+VgU62Qr5oBOEG1X9C4jisRrFOQpRVdWEjifC1G0XZFY2ai58MuRKNmisSuv82MTiJxFIlU/U7GgTeV3r1K78iPKS0FMLjqOJoHIOdJUsc7d5k/3sOG/OwDoNKkV3cbVQ2/SAJV7TC0aZU2P1gMBul0gLLbKysdfK5icodOKhMzK501pIoiIixGpuVoCaA8jWV/uqELmC8vV6fRcg8TMGkvWovV4X9ewUp4+2JfCHUdJ/nAp2kg7pbkllOaWUpZXWvF3bgnWwsoOUed7m9D9gRaXYhdUVGoNa2EZe5cdweht4PCfJzj0x3EAhn7Qm+j2Yeh1yk6/iorKlYPq9FwlaPQ6god3rzIvdGwfclZsJ/u3TRQHmjH6mTD6GTH4GgloGOT8289EeLADs78Bk5+BjCN5LH9xKxs+2U9poZVufb1p0N4frV4dEVW5ujj51xH+nbbM9d0n0ovWIxtz3bhmeAUrT7VXqR7WYhvbvj5I85vq4hWiHs+aIAP2C9BLcyHauFpQnZ5rAJ2vBf9+7cn7eyfdX+5NSOuqp79HmXIq/m4TRECMN4dXJnFo5Sm2fVuM2VdHix5BtLoxmKbdAjF6qZePypVP1u4U19/1etWh/6vd0AiGg1SqjyzLzBv8K0VZpYQ3D1SdHg9Qh7cuLOqv1jVC2LgbKTl8iu1zNnHj3MHnjNgsSRKxHUOJ7RhKrydaozlynJ0r0tnxZwabFqeiM2ho0jWAlr2Cie4ei3ewYNV0FZXLmPRtzojn141tSufJrVWH5wIiSRJdprSkrMBKTGc1YrVK7XNVOj1ajQOt5nREZgXB8tmRis9EJHKWJeUHoijStyTytD3Q/TkE4k99FcJcjcVAyPBuJM7+gT8m/06H129Ga3AXRUacEVF2ydMbOLYuheFzbiC8eSB1mvtQp7kPgx6sR/qJYnauSGfXigy+nXEA5APEtvWnea9QWvQOJTi2QqSsJCrVaZUPlp9P1aLX0tQcNHl5IEk4T4Pk/FcjARJWhxZJktB6GTGE+LrVFenWTYJIvN4KYlmlaMBwDmGoIE+j8UzILIrk7BGCgMw2wbYiLcqCdpH9qSXKwTN9DcpamiBj1dHFC20GxTpR5gqxclFWCQsmrCb3UC69n76O60dFA1VHFxeJlT2JrAzKEY1FYmXRupGi55YeZRtFwmmPIiifVaXTrXVO/1UmjCjtKS4bL4LYv7aRuTDTzR3qlHUXV6XTo1I1ft2akV03kKztpyhOysU7LlCxbO7JAkpyy5g/+k/qdgtn7Atx6A0aTuzOp3G3QHrfHUPvu2PIzypj21857PkrjT/eO8yS/xwkrIEXLXqH0rx3KHJMlNDBrC6yQ2bv+A+QrdX4gZGg7mNDCOqpCrBVlNn48T4yDuXSdGAMrUfUB1SxsorK1Y7q9FxjRPVtwoEP1p1zhLf1bQ1I3vUvjfpEk7wri5cG/QsSWEsc+IYYuO+9FsS19sMn0EDH4VF0HB5FWZGNA2sz2fNXGuu+SWTFBwlYQnZR54YY6vSIJey6cLR6z9Z1QpaRrXYihrcn9MYWgOxc7FHm9N9gtWtAlkn7ZTPH3/sdrcWIX8cGF8TpUrn62Pr1IQD6z+qoXiMqly0Xoh9XXW60AtXpucaIGdKcpOUH2PDAj3Sdexte0f5Vlss5WYB3qJkhr3elrNBKwoLtpB4toun1gSx+6yhzJ+yk74RYYlv4Etk2GI1WwmDR0bJPGC37hGG3OUjYksPq34pI/Ps4B37cj97bQFDTICSNhiLb6VgwMq5gROU9sGf/H2Rkm/O29aobilf90CptLrM5HSpzbAi2l4o5/MIP+HVqQN2HB6H3U44LpHLtsXbObgA639dU1fCoXLaos7cuPKrTc42h9zHR+d1hrJ24gF2zV9D53eFVlivKKsHk69RGGLz09JsQ58qz+Or543/HWPpeAmXFDpr1DOHu/7Z1q6/VaWjQKZDiZq3o8Egnsg5mkbj6ODlHc5AkKLWeIXyWpArNjSS56wjOeAM3Rgbg1ybmnPuoNRtoOOt2ctYf4tg7S9j3yBc0mjUCU6TycJ7KtYO12MaGD/cC0HpEg1q2RkVF5VJyVTo9Gg1oTkdklhQEXMJIo6IIyQIhpzDKs4dc6CYzi71A50VQv7YkzlvFqSNlmCIDAND5V+hlIpr5s/PHo6RsTyW6bTB+2gqBZ9deZrr2aorDITOuyb8cWptBmC630rYAsk1eANRpraF167qu9L35EYo2phSKV4V3KLy0GPXuQsbwHvXwa3gne5/9kf2PfEGzZwYQ1CG2Uj2dQECshCiytUMgDBUJoEViX6NWIGT2sPNayRaN0gFGLNoVCapF+x1iKlDME2FQOF6lkvJjLUBXyPEjWQC0G1aHOhEOwCmIFomVLRrP9D4i4a5QsKyAVqN8HJWE0edCdL2KEAmgFbfloY3CbZU3eRUKmQHsF6CTRnBLX3PU6KqdO3curVq1wtfXF19fX7p06cJvv/3mypdlmRkzZhAZGYnZbCY+Pp49e/a4tXHgwAG6detGdHQ0M2fOdMuLi4tDkiQ2bNjglj516lTi4+NruGsqIgK7N8YY5seuKfMoTsyslN/6ljgC6niz65fjim1oNBLBUQa6Dw+5mKaeF+bIAFq9MxqfhqHsePIn9r72B8UpyrOMVC4OWUdynBqsy4CtC08C4BeuhllQUbnWqJHTEx0dzauvvsrmzZvZvHkzvXr14uabb3Y5NrNnz+bNN9/k/fffZ9OmTYSHh9OnTx/y8yvWq5kyZQpjxozhl19+YfHixaxdu9ZtGyaTiSeffPIC7JqKCFO4Py3eH4dcZiN3S0KlfEkjEdMhhKSdWcJ2wuuaObQ1H2vZ5SuV0/uaaf3qLTR6qBdZm47x7z1fkLsnqbbNumY4+W8y341Ywqb/7XSlFWUWs3LmBvYvPgqArdRO3sl8irOU1+i6UMS1c/ZsRrUMuOjbUlE5H2ScIuQL8VFxUqPhrSFDhrh9f+mll5g7dy4bNmygWbNmvP322zz77LMMGzYMgM8//5ywsDC+/vprJkyYAEBOTg5t27alVatWREZGkpvrPiwyYcIE5s6dy9KlSxk4cOD57JvKOdB5mTCE+pK98TBBvZrDWSNO0W2D2PFjAoWZJRBddRsjHq3DCyP2sGhuEsMfUih0GSBpJKJvbk14n6Zsf/xH9v9nOR0/HoOkilhrTHF2KbsXHsEvyouGfWKQNBK2MjvH1iZTkFpE0qYUzMFm/Or4YCuycXCp07HZ/cNBGg6sy/Yv9rJ/0RGQYf8vR0jclMbhJUdc7Xd4sB2txrRAluWLMquq5YAofn5+N9mJVcfkUVG5nPB02PJCt3G14LGmx263s2DBAgoLC+nSpQsJCQmkpKTQt29fVxmj0UiPHj1Yt26dy+mZOXMmffr0obi4mMGDB9OvXz+3duPi4pg4cSJPP/00/fv3R6NRf5QuJlGju5Hw7h+c/PxveLmeW57O6NQcaHTK5yCuuReD/i+CJR8m0efOMHyDlFfovhzQWQw0ur8nm6d8Q9rqQ4T1alzbJl1ROGwOFk5eScaBHAB+f3o94S2D0Bo0nNqSjkYrEdoimKQtqZTml6EzarGVOHVApbllfDt8caU2c0/k4V/Xj5wE5wvQpne3sPWD7dhL7XR7ugtNhjVStMcTx0in1xDW0JuTu3JqVE9FReXKp8ZOz65du+jSpQslJSV4e3uzcOFCmjVrxrp16wAICwtzKx8WFsbx4xW6kIEDB5Kenk5eXh4hIVVrQZ577jnmzZvH/PnzGTNmTE1NRKe1o9U6H7TKkYuVO/wkUURdwQP2osT6UGhSEghDRXlnE3JjS3L+PULR0TRSS1u75dmCggHYtjKHrqOUBawj7vXj1w+T2Lsilf4j3WdINTFXPYwkEnhmlyivz5Ne4K2Y52VUFqL6nBHZN7hFCIHXRZPy+y7q9GmARjCdU0nkrBRpGsAsWJFbJPY1C8TRRkk5TyQSBqdjkLgti+B6Plj8K6IVaxVsEYmVkw/kkHEgB52pwplJ2VWhCWsUH06dtgFs/7kETbiJ64bH8tsru4hq6c+pXTl0urMe4U18qdsxGK8gI7qzooLnJhexa8kpVryzD4Cdn2wj/o5Qt3tLdsgseWE7h9akYC220+72enQa2wCLv1OjE25Q1mx5a0sAaN49kH++OYmFYjRaZ9teArGyp1GXPRIrC55NdkFEeI8FyR4+tzzZ3kUVW2uU75ErFVm+MCLky0ROd1lQY6encePGbN++nZycHH788UfGjh3L6tWrXfln//BX9SZmNBoVHR6AkJAQHnvsMaZPn87tt99eUxNVaoik0VCw7xSl+aUYfSrEnSEtQqjbty7/zPyH5oZYegwPqtKx8w3QUa+pmeXfZ9FnRABa7eXflepTP5iUvw5hL7WhMZ77h6kks4iEX/aSeySTsI518AszIEkSZXmlRHePQe+lvPTBpUSWZUoLbJh8Knrcdi46weJp24hsEUC/p1tRWmjFO9BIeCNvt/PpsMvsW55Eblop190ah95c+fEQ3tSPYa93YMfPxzH66Nn7+ylXns6goemNESx8eisAz++6CYCOo+pWakcJvwgL1/9fQ7re3YD5E9dzdEMGHwz7iwk/9SLrWAGH/0llzQcHKMmz0rh3JP5RFjZ/c4TtC48x9vMeBMYqO8Vn0rR7EMs/OMap/fnUae577goqKipXBTV2egwGAw0aOGNbtG/fnk2bNvHOO++4xMcpKSlERFSIQ9LS0ir1/lSHRx55hDlz5jBnzpwa11WpGdHjbiDrn/2senoVXZ7sgm+dih+B7i90x15m539PH2P7mlzu/09dtDqJ0mIHJkuFs3Df9AieHHGUXz/P5OZ7gmtjN2pEnZtacuLnnRz8YC3NHugu7KXbN28z+z7eBIAlwoekvxPcXp28o33o/9EQTAG1u4L0riWJLJ62FYdN5vb3OhPVOpDdvyaybPYuAJJ2ZzNvdMULim+YiY6j6lKvcwg+oSb+fGsfOxYlArDirT3cMacLce2D3YY3JUmiWb8omvWLAqDz2AZ8OtLZZlyHYJr3i3Q5PeeDRisx5qOuvNByERlH8nm1/WLsVmcPSKOe4TToHk6LITHoDFo6jWvIV/es4fsH1jP2yx4YA87dKxDT0hejl5ady9NVp0flMkZSNT0XmPOO0yPLMqWlpdStW5fw8HCWL19O27bOQHVlZWWsXr2a1157rcbtent7M23aNGbMmFFJQK1yYTGF+9Noxq2cfH8JP9/xM63vbU3jWxpjCjCh0Wro+VpP/Nav4b+PJfDCqAO07OrDT3NSGPlYFDdPcDq4Tdt5cfM9Qcx7JZlm7S00bHV5R0D2jgmgyaTu7Ht3NTl7U2gzrR9eUX6VyuUeyWTfx5toNLoN9Ya1wBLug73MjrYgD4fVQUFyPmueXcniUT9x/Yx4IjpF1cLeOMk6VoDD5nTGvnvAGfZBo5OI7RBMQXoJg2a0xeitw2DRkXOyiD2/JfLXe/v58619ldoy+xv4ZuI6ZAcMer4NbYfHueX/9MQmErdmugJYBtfzYeT7HSnOtRLW2Jf+T12Ydc9umd2e5a/vpiDdOSzlF2Xm1jc7odFWBLH0DjIx4r0ufD5mNT8+spExczpgqKKX6kx0Bg2dhkWw7vtT9J0Uh74avX0qKpcaZ0Tm83dYPI2PdDVSo0HZZ555hjVr1nDs2DF27drFs88+y6pVqxg9ejSSJDF16lRefvllFi5cyO7duxk3bhwWi4VRo0Z5ZNz48ePx8/Pjm2++8ai+SvXxb1+PW76/heajmrPtg218N/A79i1w/hhKkkTXQYHM+Lox2elWfv8qHYBv/nOKXesq9BPjnopAb5R445FEivI900BcSmKHt6b9f27Gml/K2vu+ZdfsFWTtctcgHf1xN+ZQL5qN74gl3Bk0UWvQYgnxwjvSh/B2kQyePwzfGD9WP72ClM21NxU+8qwp2J3G1Oeh5f0Z88n1TFp0IzHXBRHWyI+AaC/qdg7h5plteGJNf+779gbueK8jt73ZnhFvtqdJ7wgGTmvDjY86HZclL2zHVmbHWmJnzYcH+OPVnRxdm0Z+Wgnph53nP+NoPm/0WsbK/+7n/77uTlz7C9Pb17x/NFNX9OfpLTfx1OYhPPBbP5cG50wCY7y59a1OJO3O5uM715J5/NwBD7uPrkNRrpUNP6jhC1RUzuRCxOQrLS3lgQceIDg4GC8vL2666SZOnjx5qXelEjVyelJTUxkzZgyNGzemd+/ebNy4kd9//50+ffoA8MQTTzB16lQmT55M+/btOXXqFMuWLcPHRxxhVwm9Xs+sWbMoKSnxqP61xonpn7H/1heQ7Z5FZdCZdLSb0o4Rv46g8bDGbHx9I9s/2o58Oqp1w7bezPimCTqdhN7o/OF5aexBl4Ozb0sRpcUySQllLPos48Ls1EUmuEMsXefeRsxNLcjcfooN9//Iv4//Qu7BNNLWJ5Dwy16C20ah0Sn3BJiDzPR8sy8hLUJY8eDvHFl+7NLtwGmyTxby/UMbXd8fXz+IPo+3xCtIHIDP6K0nsrk/jePDadYnkqZ9Irn1rU407hlBu9vr4h/t7LF7s8dv/G/oCv6eu5/dSxIpybfiHWyk75MtCWvsHB4qyi5jy4LjLHzq/Ie3zkar11QSPZ9NneuCGfdVD2yldj64fQ17l4udmZBYC+0GhfPnR8exll7+TrrKtYlDli7IpyZciJh8U6dOZeHChXz77bf8888/FBQUMHjwYOz22r3XJFlWWKfhCiQvLw8/Pz9a//AoWovzYW9XmL3lcChfBEp14MxFMKtqU1BPuZoQpZk5Om1lx+bAvW9jzcij3ouj8WlTtXjUrFee4RBsLnT9LcsyR+ZvYf+HG2g4rgN3P17x5r7zt2S+fWw7Fn89RTlWvloeRd2GBt6ZmclPX+Zhs0JkjI5PF0di8q36R3dXiXJMn19SWivmHU1RFsD7+SrHXYnwVp7RYzg90092yCSvOcqeuRsoPOmcPh3SJY42z/VF7+2+HxGWyu057A7+emo1mbtTeeCPfmj1la8HpRlT4PkSD+kHclgwbQ9pRwuJbePHvR9ch/a0Dke8JMa5nWNZlknan8+BNRmc2pdPx6ER+Ieb+Oml/Vw/sg5tBoQjyzL/u2crhzY6A1mOfKU5HW6OPGfb54uS/WUFZXz93H52LEtnyietadylYkbh2cc4NaGIFwZvZtDkWG57IFxxWwbBufF0qQmlPE+WdziXHSJq+oN4PtvzeIZZNYZnSgpsTOv4F7m5ufj6Xvk6rV9++YWnnruN+UuUr8vqkpFmp1+HJKxWKzqdZ6qWwMBAXn/9de655x4iIyOZOnWqS8tbWlpKWFgYr732GhMmTCA3N5eQkBC+/PJL12SkpKQk6tSpw9KlSyuFqrmUXJVrb12rRD10M8kf/IbxAiysKUkSDe5sj6TVsG/uOlZ4NaDXpAZIkkTTXqFENvMlaW8ewXFexNZ3zhTKybJjO+1TZWfauW9oEh//FovReGXEWpI0EpE96hPerS6p649Tll9KaHxjtMbq3SYarYa297Xm5zsXs/HLI3S9p+EFs60418r+1Wk06x2GRiehN2rJSSrmr/8dZstPJwmOszDx8/bUaVFZl3Q+SJJEVFNfopo6f0S0p933+7/o4Fbmlmcac3hTNjEtfYlpeWFtqClmbx13v9mc/9y2mb8+S3Rzes4mrK6F8HoWFr93nA69fYhr5nUJLVVRubTk5eW5OT1GoxGjUdwb7ElMvi1btmC1Wt3KREZG0qJFC9atW6c6PSoXBu9WdWn438loq+gF8pT6I6/DYXOw4r8byEst5ZYXWqA3apnyfVdWfnCEP987xMbV3nTpaeGh6UGEhuvIz3Vw0ygfJgxL4u1p6TzxWujFiWF0kdDoNER0d/aUldlrJnANahRIl7ENWPX+Xup3CyWs8YVxAPasSOGnabsrpVsC9Ax5qjFd76hTZc/SpSK8oTfhDas3XfxSoNFI+IYYEYS1cVGc71yocvrQ3XyyuwN6w5XhpKtcC0ge9+Cdif30y0pQUJBb+vPPP8+MGTOqrHM+MflSUlIwGAwEBARUKpOSknLe+3M+qHe3ihuFSbmU5blrqBqOac9N05qx6YdEkvY5h3UkSaLnhPpENvXliXtTmfNKFv6BWiY9FcgTrwTTpKWRp18L5rcFeTww4iRH9nm2SvWVSPwDzZAkibWfHLwg7RVml7F7WWql9N5TGvD4H/F0HxNbqw7P5Up+Vhkmr3O/17UbEOr6e9eaXEFJFZUrm8zMTHJzc12fp59+WrFseUy+DRs2MGnSJMaOHcvevXtd+dWJyXc2F2tpmZqgPilV3PhnwgKWDf6YkoxCt/To5s4eC1tZhbZBkiTu/qgDTVoZWTg/j5Ji9x6m/sN8ePGDCPJzHEyblExRwbWx7J1Wr+G62+I4tDqFgyuTPW7HYZc58Hca/x2+hoNr0l3p//dpR2bt6EfvyQ0xVuNH/VokO7mEE7vyaXr9uYd6e4ysiCtWv/Xl01uloiJzYYTM5VrU8tlY5R/R0FZ5TL727dvzyiuv0Lp1a9555x3Cw50ao7N7bM6MyRceHk5ZWRnZ2dmKZWqLq/KJqUVGe1oArNFULUAUhXMXLeMgEitLAmGop3JxrabqihqF5RGcdTxzLgrSi7DmOnt58k7moQuqmHW38ts0TAFGHHXjSCw5Y8jHDIMfiGX2vQdZsdlM887uAsJWNxbzdAMfpg45zLOTU5n6n2j8AnX4aZVFx6Fm5enGJwzKK2Pb7MrnxiYQUOpk5eOlJCQXLV0RqCtk2MOxFCXnseDhjYz/8Doad3V2K+slm2K9s9m/IYsvJ+9wS3v6lw5ENvICKpbcEC1DIVrSQLFONQTONcVTca7IFqVzoJUcbN+YBkBYKPhoK3ouqxKL+9StePPcsyqDXiMqT7cXHUeN4N1RXK/qPIfg2SQ6jnqUxdbCOC2CLE+2JxyOEQjCRYJq0Yp+5duze7hUyOXO5RKcsCYx+dq1a4der2f58uWMGDECgOTkZHbv3s3s2bPP25bzQe3pUXFhDPKi+eO9CL2hPskrDnLw4/UkLT/Ajpm/s+/nI5Rkl6KtYtpw006+aLRwaGvVzkpknJFn/xfL/q1FjO20n6ENdzO+7SY2/ZF1sXep1jB66bj73TY06BjI99P3UpCtvC5YVaz9PokfXznk+j765Sa8t68nkY3UnojqcGCTcxj2P/fs4+WRu3HYxW8dz3zRBID/PXPiotumonK5c74x+fz8/Lj33nt59NFHWbFiBdu2bePOO++kZcuW3HjjjbW6b1dlT4+KZ0iSRJ3BLZAkid2zV1RZpjS/DKOP+zpTBqOGNvH+LPogiYi6Jjr2D6g0btu6mzcfrWrMhuV5ZKZa+eadNLJTa+YIXGlotBIjZjbjnZH/8s4d/3L7i81o2rF6U2mPbMkh5YizN6xNv2A63xJxjhoqZ2LyqnDOD27Jx+GQqwxqWE7zLr5oNOBwwP7NBTRprzqXKrWPjOe9pGdSUzF0eUy+5ORk/Pz8aNWqVaWYfMXFxUyePJns7Gw6depUKSbfW2+9hU6nY8SIERQXF9O7d28+++wztNrajX6u9vSoVCKyX1Pq39URNBI+DYLp+slImg1rQERb5Rg5979Vn1bX+/Hug4f5YtbxKsv4Buroe3sg8Tf7AxAcJZ4qeTUQFG3mgS/b4xti5IP/20rmqWJh+RN78tm/LovWfSqO9V2vNbvYZl51DH+4juvvJz5vhq4aQu+7nnHGjnrhzgsjQFdRuVL55JNPOHbsGKWlpaSlpfHnn3+6HB5wviDPmDGD5ORkSkpKWL16NS1auC89YzKZeO+998jMzKSoqIjFixdTp06dszd1yVGdHpVKaHQaGt7bmQ5vDMVaUMqul5fT49lODP24b6VennKMZi0Pvd+AIRMiWP1jhnAZivAYA3UaW/jp3ZMU5Vdf43KlEhLnxa3PN8VulUk5rKxlAlj+4XH+e+8OPn7AOT192FP11XWhPMDsraNld38A6rWqXq9N39FOR9Nug4Lcq/+6VLkSkHCguSAfFSdX5fCWTmtHdzrKrmJ0ZYeywFASdIPbBXowBc0xALJApCcSTivN7tMrCLSh6mjNrnpaQdTfs4ShIddF0/zBHmx55le+ve1X6vaOod3/tUSjdT+mQdqK0OMj7vJi2ecyr921h2feiyI8ruof7Ednh/PsmGM8M2AHHXp60+sWf1p0dAaG6+iXoGjj8XxlIXNarvJyJ4XWqp01AG+98jCbQVP1j59IGFpVpF1TgAmtTiL9UC6WnlXbadJYGfNEBNuXVczUuuXuQDSaQmFkXyVBrKdoBdfj5YSSSLg8UvOkl6J5sHcuq75MZNhk5/CgKCKwyeCgx83+rP4lh38WpnPT3RVT2UXHWCsQtdtFQmYFkbbIRtEEDLuHkZVFP4iiKOHKdii3dzEF1XINJglcKagLjl54VPdPRUhYt7pcN2sgIc2C2PbJbuYPWsiR5c7hq7KCMta+vomCvIoHY0iEnpmf1uHw7hLefjqZpBNVOxQNW5p5Z1F9uvbzZd0f+cz4vxPYzyE2vZLxDjLiHWxk56psrGXKP4ThsSYm/aee67tGoz6sPCU40kDf0SH8NCeFSdfv4oXRB8+5EO7kl+sQGWdk+5pzL1hazoZluQytv4NHbjrIut9yztNqFRWVi4nq9Kick/Ab6tNzRlcGvt+LwIb+/PXcPywav4x58d+z+7sD7NzgPmTTurMXox4IZueGIsb0OMZfi6te9yoixsCkFyKY9VksxQUOvnozjZU/51CYo7w+2JXMHa+24ujOfH7/+JSwnNFUcVvabVevI3gpuOPhCALDDGSmWNmzsYCU4+LFi40mDT2HB7B/a2GlvKJ8OycOlbD173yeGXWU37/OZOFH6Xz5ujMW09E9xcy+/zjvPHaCq2hJQ5VapFzIfCE+Kk7UI6FSbaI7RtDvP/HU6xOLtdhGi5HOab7ff5BJbpZ71/Kt91UEhXvpwRTycpTfsBu2MjNwVADfz83gP4+c4q3bN5FxQqx9uRKp1yGQbreEsvanNOGPYrMzYh3t+1d5oVSVc2Py0jJ7cRPX92du2UdGkjg6eGConqJ8RyWHc/kP2dzf/xAz7j7G7o2FzJmWxLxXUzh1tJQbRwTy5uJGAKxcmM0jNx2kuPDqjBujonIlozo9KjVCZ9TS+8XrGf7lQLo92p6hn/Un6VgZUwYnsPWfQtePucVby0Mvh1OnnjOs2I+fZIuaZcqLkSzY0YQP/2yAtdTBt9P2XfR9qQ06DwkhPbGEdybs46/5ydiqGOry8tMRFOHUIC146+SlNvGqw1bm7rwEhinruwCKC+zoDVIljUn/ke7RnTv39eXe5yJ45sM47noignrNzMz50+lgJewtYc3inPO2XeVaR8JxgT4qTq5KIbNeY0d3WuirJBKWBIJAkehYJPIU9WiLLjpRdF9FIbNAkCyKyGzUKov9dIJ6NgUhbVDzMJ7+uT2fPrafZ+46QVhdM6NfaEijjv40HRbC/JGnmD45hVW/5vN/D/u7NCpVxY3w8wFvi5bc1FJyU0vJ33qMlp3dZ9408U9TtDG3yKyYl11oUcwLMin3KimtPZlbprytRI3y0gdtO+Yzeno9Nv6azjcvHWXZvCSadvFj4PhoGsZVnNPetwXw/bupHN5eiEkqQ1+dlTOrwJOIzML2LoLI+cILsd3b8wqEOx4IIfFwKWt/yyMvMZc69SuHSyg/VslHioiqa8BL5z7MajDD70ebkp5sJSBYh05/9rVso05cxXnSYBcKgZUE0CLxszAyseAaEYmjEURy9mSxS0/Pp0hQLXpGlmO7CiMyO4XMFyJOj+r0lKP29KicNwFhRh7+rBUPfNQCLz89Hz+6n4Lsih+Mm0f7cvKYlfj6R8lIFc+wWPSFs0eoXbwPMQ1NF9Xu2qLX6Aie/qYVz37XimZd/di5Kpun+2zhgb77mD7qEJ/MOkmLTt6uH9XigqvvYX6pGfNwKA+8HIlOL7Hqlxxh2aTjVqLrKvcGhUToXefmbBZ+nOn6u9/tyjMNVVRUagfV6VG5IGi0Es27BzL+nabYyhwseveYKy86ruL9dOEX4lWsj+4rJaaRiWmf1MM3UHtVC0LjWvpw18wGvPhbW8a93IA23X3wD9Hz7/Jcpo8+gs3q3Pe87KtvKm5t4OOnZfj4IL59P4NHbz3K5lX5lcrYrDLb1hZi81BAnpXmPFfdBviqM+9Uzh/5wgiZxT191xY1OhKvvPIKHTp0wMfHh9DQUIYOHcqBAwfcyowbNw5Jktw+nTt3ditz4MABunXrRnR0NDNnznTLi4uLQ5IkNmzY4JY+depU4uPja2KuSi3gH2ak+4gItv2R4UoLjdThH6ghKFTLvY+K334jY/WknCjlrx+zuK3pLua9nHSxTa51zN46rh8Wxr3TonnknTjmrGzGpJfr0OFGXyQJ/ENEgxoqNWHMI6E8O7cOmSk23nr8FPk57g7lsh9yAGjT1cuj9v/v2TAefTOK8c85V6IWhSdQUTkXshqc8IJToyOxevVqpkyZwoYNG1i+fDk2m42+fftSWOg+vbN///4kJye7PkuXLnXLnzJlCmPGjOGXX35h8eLFrF271i3fZDLx5JNPerhLKrVNRAML+VlWkk+vHSVJEo+/Ekpmmp1pk5U1OQB9b/MnKEzPu08kYrPKLPo0g8TD4mnGVxtarUSvWwPJSLLSsqu32xR2lfNDkiS69vPltW/jsNngk5dT3fJ//Sqb6/v7MHScsi7rXO33GupPcISe5BNlDG+6h+fHJVzVMahUVK4kaiRk/v33392+z5s3j9DQULZs2cINN9zgSjcajYSHhyu2k5OTQ9u2bWnVqhWRkZHk5roPeUyYMIG5c+eydOlSBg4cWBMTAafItzwis+So+mGjU4iGCmATdAWKRM4iHIJ6GoE4VEmUfLZY80wMApGzQRDJ2SQQOYs4Web+A5Fe5JxmfTzLgq8mBYBB/XUcf9CHj97LJ/9UIf7RVQuBvcJh/p/RLP85n1/m57F3eynTRx1m7IMBDL3Tl+5+yusiHS9Q7kU6kaWcl1emvAaY0nnLLlUWMhfYlPUg9czpinlBuoqAeKsWZpGwt5hXvmuAVpLRCsSmwmjBgutEsY6HQtTqiE2r3J4HNp4vsXUkeg3xZtFXOSQllPDmN3VY92cBR/eV0rmXpdqRiIsKHBgs2koL7AIc2+18Gdy2poBbGu3mwRfDGDyq4jpUmtwgjrqsnCeKDI1gf0SRnIXCaYV3Zq2HvQp2gf3VEUfbrsKIzOB5pO0L3cbVwnm9QpY7K4GB7j96q1atIjQ0lEaNGnHfffeRlub+dj9z5kz69OmDxWJBo9HQr18/t/y4uDgmTpzI008/jUOwXITK5cmSF7YDEFTXfebV3ZN88PaReOvlXP7+o1BRr6PTSQy41Zf/LYxmwT8xdO5p4e3nM4ivf5TvXz+OzXp1XxMOh8yC/6bSdYAfTdt7Nsyicm5CIpw/6Xu2lDCgySFemOwMMrhxZeXAhFVx6P/ZO8/wKKq2Ad+zfdN7hST03gQEASnSm4XXBgoiKOKLImIvCJ+IBXsD6wsoAjbAAqigFGlK7yVACC2N9L7tfD8CC0uyA9kEQsK5r2she9o8Z2Z259lznrKniMEtDjG6VwLZGTYy02z88WM2v32XhRCCrgP8WHawEf3v8gfggxdT+Plr9dANEonk8uKx0iOEYOLEiXTp0sUlu2r//v355ptv+Ouvv3j77bfZtGkTN910E8XF5wKCDRgwgLS0NE6dOsWiRYvKTDX/4osvkpCQwDfffOOpiJIqwGE7p5CY/VxXPMxeGh55yp8VSwt57qFUfp5f2pD0QsKj9Tz3ZhijJ5Yo1ks/P0X81ov3q84c3FZA8jELA4aHVLUoNZpBw/wZNMyf/nf60XvIuXxo738Xc0n9vbxLvj5PJFj48ctMvpieyltPJfHOs8mcSChJv6LVKTz+WiTvnhlz/ox0t+NJJBdy1mW9oi9p03MOj+P0PPLII+zcuZO1a9e6lN91113Ov5s3b067du2IjY1lyZIlDBkyxFlnNBoJDQ11O35oaChPPvkkL730ksuYkqubQ2vP2UiseHs3t74k0OnOLa3eNcKH334uYNsmC/ZyeGKPeCSAHf8WsnltYY1PzbBjfS7eflq5ynMZWTI/i6AwHVnpdk4eteBwCMKjdXzyayxm70t7QCz7rmSlu1MfHxbPyWDyzGiat/OibmMjteu6bpm+MKokyOTAoQGkp1g5nWyjQSv3saMkkhKUSvG8kt5b5/DoTDz66KP8/PPPrFy5klq1aqm2jYyMJDY2lvj4+HIfZ+LEiRQWFjJjxgxPxJRUAeGN/Z1/b5xziDv6ppCS7KrdFOQLeg32Zshwvwu7u0VRFN6aE0loLSPzph1lxddJJO69tG2I6sbODXk0u94brVbuw1cmQggWfJLB7e0P887zqbz3Qgprf88j4YCFB58JZd7auvgFuM9mfz6rl+Yyf2bJVtXE1yIxmjX89XMO/e8KoFGr0vZeA+4OAKBZOzMfTErh0dsS+efPmr1iKZFcjZRrpUcIwaOPPsqiRYtYtWoVderUuWif9PR0jh8/TmRkZLmF8/HxYdKkSUyZMoXBgwdfcj+9xoH+jMGuOyNhNcNirXBvM6LWz1PUDJndRUlWM8RWi6ysZqxs0rpP9GnWXFoSUP8IL+58vwMLn9mMrchOwiEbI25P5+kPatOgZckvW6/gLAoyLWhzCvhnfTFdexgxmRSEKMkqniPcGAJr4I1Pghk16BRzpx4FYOYPkbRsVxLEsE2g+5QN6QXuV01OZfm7rXN3bWw29w9Hi6/7CM8nLe4NqusbkykucnBgWwH3PxPhYrypZuyrVzFyVsMzI+eKGZuWVw5V41w3uIs+a7MJ8jMt1G2oJ26AF/2G+NKohcGpXNrFpZ/H+g3PfXVO+M9RCvMc2C0ODG4Mhsc9H0SvQd7Ub2bE1yuQDSvymPzgCZbsrY/J7PrbU6MSm8pTo2+1qL4aD7c+PIkorYaaHGrG0WfnVhPXMmRE5sqnXGdz3LhxzJ07l3nz5uHr60tycjLJyckUFhYCkJeXx5NPPsmGDRs4evQoq1atYvDgwYSEhHDbbbd5JOCYMWPw9/dn/vz5HvWXXHka9ojkyb8H0PKWGIIjdJi8FJ4ccpgZL54kJ8NGl4H+rF9roWPLFB4bm8Xtg9JpEpvMZx/nXXTsRs2NLN12zubijedOk5VRcyIWnzxSjM0iaNDSvXeYxDN0eoVxzwfzwbxIJr4cQtPWRo9X0+LqG1i6I47YenpOHLViKRb89UseB3aVHV5BURQatzKh0yk0bWPixr4lSvjApodcDPoz0mzkZtec+1kiudool9Izc+ZMsrOz6d69O5GRkc7Xt99+C4BWq2XXrl3ccsstNGzYkPvuu4+GDRuyYcMGfH19LzJ62ej1eqZOnUpR0bUVq6W6ozNquXnqdcxa14R3f2rA6Bci+fvXLB4dEE/9FmZGP3Ru5SUn24FGA6dOXNqXvX+glrUJcfzfB6FkpNm5p/cJNq6qGVnZ006VrKiF1VJPiimpenz8tHy6uBa+/ue+Rv/3zqUZKve/49zWruPMbZ+XY+eO648w6033YQ0k1x52oVTKS1JCube31DCbzfz+++8VEujo0aOlyoYOHcrQoUMrNK6k6tDpFW6+P4QbB/kz5f6jPPWfw7z3UQA3DzETEqohM8PBfXdlkHTKjsMhSmW3LgtFUeh1sw9tOpp49enTPD06hZvfPkX97lGXf0KXkYxUKxotBITUyFzANQ4vHw2T3o/g6ZElkcOPxlsuqV+nnj4s3FoPH18N2jOG/vk5DrQ68PariRs1Ek84G5G5okjvrXPIMyG5YgSG6nnju3q07ebL+LGZfD0rH5sN6jfU88L/+fH3agtzvswvV/Ta4DAdb3wRTueeXix9cROZxy6+RXY1k5dtR6NRZN6makT7rl74B5XYeNVv6j7QZVaGnSfuPcGOf0rMAbIz7Hwx/bQzx1p4LT0/ba/PqKfce7VKJJKKIX9OSq4oJi8NT70fwz/fJPL5jHy2bbby0x8h9Blgond/E29MzSWrQMPo8QGXPKZOp/DCW6HcPSid78eu4e7/dccvonq6AxfkOgiOkB/L6oSiKHz6U20SD1lo1MK90pMYb2HLukK2rDvBgDv9aNrWxHefZ5J03MqUmSUrlGZvjdyKkLigFoX7UpEu6+eokd+uBq0d/ZlUDDo3nlhqXliXw0NLjcr23jKoeGgZNO7rzGreW1r3y/YmFc+uDLtP6UINDH3An9YdzAwbnMqs/xUy/EFf3vwkhHEj0tiyvogx48uen9XN4qSPn4b/m1uPKXfuY93La3l2diOX1AAJAe4D/e1OcZ8ypbiw7ED8KpkCyC92b4+jU0kHYFBs5Jy2EBiiw3BBSH21FA/uPIZK+nngoeWhh5CqZ5daqhW1NBoejFlWH5tN4HCAonfvdVek8nWo5v2ixUHt2gq1a59VeM5du/MfWG06GJn9Wy1G9jvB2j/ymDg1mLeegb9/y8OSa8Xbt6StVuVceeqF46lHmJrnkLvrpuaFpbbNopZqRc0j7OzxLjV1iOTapkYqPZLqQZMWBnr2N7Ps5wKGP+jL6hWFbN9iYciwMhSlSyA40siDr8bxxqiDzJ6SyIhJsU57ieqC3S7QyU9lhXA4BOmnHSSdtLNxXTHLfi7kyCEbNhsEhWioW1+P3gAnjtnp3suETq9QVCho2MpE/9s8u/culbqNjKxJqFeq/LFhJ/lkUS2XQJ4SicB9jrbyUBlj1BTk16ukSunWy8SkiZlMeiKDJQsL6NTNxMj/eubpB9DyxgBGvxLH7CmJFBc6GPN6nWplH+PloyU/t/jiDSUuZKTbWbKokCWLCog/YMV6ZmHSZFLo1d/EXcO9MRoVTpx0cOiAlcJ8B8eP2vj6izxqxWhRNArzZ+fx/ewc/AK01IrT0b6Tic43eaHTX777Z/KH4fzfoykc3G3hnRfTePr1MIoKHWi1CnpD9blvJZcJoVTK9lZljFFTkEqPpErpM9CLxd/ms3p5IQ+O9+Whx/wQmop9QG+6KwyjWcOMJ45QXGjnv2+V/mV9tbJvWwEh4fJjeSk4HIJ1q4pZ9G0+q1aUhLTo0dvELf8xExmt5dhROxGRWrx9FDRa0GoU6jQyMGa8LxqNghACSzEYTSV///6bhRW/5lNUJPhhTi4/zDkXMXnBylrUrqOWc9wzeg7yoXNPL/o1TyAotOS6jxtynMP7Ldw63J+GzY0MuNN98EyJRFI+5LerpEoxmhS+/C7MpawyduY73xyCwajh44mHmf1/iYRMaFcJo15e0lOsHN5TzB3vB1e1KFc9uTkOnhybzj/rimnQWMfE5/0ZeJuZwCAtx49YeeXFLDasLdsOrWtPEx/8LwRFUTCWBPNGURS69/Ome7+S+FFFRQ7mf5HDp29lAfDif1OZsywagJXL8vl3TSFBoVruGu2Hn/+lpa5wh8msYcX+umjPfBtHxeo5vN/C4q9Lcnv1u92vWq1WSioPGZG58qmRSo9Ja0V/JtKqO6v1q8lYWaOWUsJNnU7jXjUwqhgre1rno3W/5eKlubTYJOeT7nDvXeWrcX8sk+JexmCtay6jfgP0FKWG8dkrKTw5ai/BMWUfM6PYffTjhCI3BtAq11Ovc39t1Ix2TV4l96qluPTYasamasbKnqR4uBxGx+qGwCrnsgz5HQ7BY6PSOXTAyhdzg+h8o8FptL7qzwKeeiyLgAANn/0vgFat9djtsGO7lYcfzALgyEErvmXc677nGSDjDU8/ZiI2zI9Jz+WQk2njpbHJ2GyCnVstZGaUyDX7gyxGPOzHuGcCXAznL2Vu558TrdP2XfD6p2HM/zybj6ZllNQJGzpFYcXPeUweXxK4cORjgYyaEOR6XtQejqr3gXvUDKDd2Yl4ahittgWjpvOdPcc2acgsuQTkRp+kRtP/7gD0BoXdf6ZcvHEV4+2rpU5jI3s214zo0peL48fsbN1kYfKr/oSHa/j0ozwmP5fN/UPTGXt/Jq1a6fnlt2B69jYREqolPEKLt/e5p2bjxjrefD2XR8Zmcvut6c6gq1mZDooKXR/ydw314pffgrnhRhOFhQ7sdlA0JW0CAkvG/GpmDk89WHlRlL+ekeVUeKZ+HOY0bjaazs1h3idZ2Gzlz0smqX44hFLhl5BhEJzUyJUea/65lYfqvtLjcFPnUPlVo6is2KCyQoRKP52KO7texUW+UFd2Xb7KaoiikjBVbaUh3172mFodWIvsFOWVLYst3/3KkqPATS4ljcoveJWVquI89+cxHzvZGTZ+/y6bB54NQ3NeXig1d1x9Ja/0KFfpSo/dLtiw1sKMd3MA2LfbypvTckhPdxBdS4Ofn4bnJvtx550lruO5uef6tmyt58s5gXzxWR4nTtpYv66YgjO6ZY8uaWg0kHi0pP2aDSH4nZdaIipay1OTA5zvhRBs3ljM3M/z2PJvyXfNmuWF9GiWyKyfIl1sstQeNmqJUWPqlgTdDA7VkX9mHtfdYGbZzjrk5znIybZTXCgoPu/cOTw8/2rYPVjpUUNVxotE/L/YmAV5NW+lR6BU0vaWXN84iyIulluiGlFUVERsXCypKalVLYpEIpFIrjAREeEkJBzFZDJVtSgV5qeffuKR54fz5I/XV3isnLRiXuq6FqvViu4aj4lRo2ZvMplIPJqIxVJ+GxOJRCKRVG8MBkONUHjOpzKiKcuIzOeoUUoPlCg+Ne2ml0gkEsm1R4n3VsVNMaT31jmk+ieRSCQSieSaoMat9EgkEolEUjNQKmVrSsjtLSfyTEgkEolEIrkmkCs9EolEIpFchUibnspHKj0SiUQikVylVIr3llR6nMjtLYlEIpFIJNcEUum5DKxZs4bBgwcTFRWFoigsXrzYWWe1WnnmmWdo0aIF3t7eREVFMWLECE6dOuUyRnFxMY8++ighISF4e3tz8803c+LECZc2GzZsoHXr1sTGxvL55587yzt27MjDDz/s0nbmzJkoisKXX37pUj569Gg6depUKXMDWLhwIX379iUkpCSh4/bt20uNUV3nJoRgypQpREVFYTab6d69O3v27KkWc7uQ3NxcJkyYQGxsLGazmU6dOrFp06ZyzfXAgQN07tyZWrVq8fLLLzvL7777bvr37+/SdtmyZSiKwqRJk1zKp06dSlRUlMfzuBCbzcaLL75InTp1MJvN1K1bl5dffhmH41x05uo6t7i4OBRFKfUaN25ctZ6XxD1CKNiFplJekhLkmbgM5Ofn06pVKz766KNSdQUFBWzdupVJkyaxdetWFi5cyMGDB7n55ptd2k2YMIFFixaxYMEC1q5dS15eHoMGDcJ+XqqFUaNGMWnSJObPn88bb7zBsWPHAOjRowcrV650GW/VqlXUrl27zPIePXpUytzO1nfu3JnXX3/d7RjVdW7Tp0/nnXfe4aOPPmLTpk1ERETQu3dvcnPPJTq9Wud2IQ888ADLly/n66+/ZteuXfTp04devXpx8uTJS57ruHHjGD58OD/99BO//PIL69atc85j7dq12Gzn0n5crnlcyBtvvMEnn3zCRx99xL59+5g+fTpvvvkmH374obNNdZ3bpk2bSEpKcr6WL18OwB133FGt5yWRXFGE5LICiEWLFqm2+ffffwUgEhMThRBCZGVlCb1eLxYsWOBsc/LkSaHRaMRvv/3mLIuJiRFHjhwReXl5ol27dmLPnj1CCCF+//13AYhTp04524aHh4sZM2aI6OhoZ9mxY8cEIJYvX17pc0tISBCA2LZtm0t5dZ2bw+EQERER4vXXX3eWFRUVCX9/f/HJJ59Uq7kVFBQIrVYrfv31V5fyVq1aiRdeeOGS5iqEEG3bthUbN24UFotF3HzzzWLJkiVCCCEOHDggALFhwwZn2+uvv158/PHHwmAwiPz8fCGEEMXFxcJsNovPP//co3mUxcCBA8WoUaNcyoYMGSLuvfdeIcSlXcerdW4X8thjj4l69eoJh8NRo+YlKWHx4sUisom/mLzr5gq/nljZRwDCarVW9bSqHLnScxWQnZ2NoigEBAQAsGXLFqxWK3369HG2iYqKonnz5qxfv95Z9tJLL9GkSRP8/f3p2LEjTZs2BaBz587o9XpWrVoFwN69eyksLGTUqFHk5OQQHx8PwMqVKzEYDBXaJikv1XVuCQkJJCcnu8htNBrp1q2bU+7qMjebzYbdbi8VudxsNrN27dpLmivAyy+/TO/evfHy8kKj0dC3b18AGjZsSFRUlHOFIDc3l61bt3LHHXdQr1495+rCxo0bKSwsrNRVgy5duvDnn39y8OBBAHbs2MHatWsZMGAAcGnX8Wqd2/lYLBbmzp3LqFGjUBSlxsxL4ooAub1VycgzUcUUFRXx7LPPMmzYMPz8/ABITk7GYDAQGBjo0jY8PJzk5GTn+9GjR5Oenk5aWprL8r23tzft27d3PjxXrVpFly5dMBqNdO7c2aW8Q4cOeHl5Xd5Jnkd1ndtZ2cLDw93KXV3m5uvryw033MDUqVM5deoUdruduXPn8s8//5CUlHRJcwUYMGAAaWlpnDp1ikWLFqHVap113bt3d8r7999/07BhQ0JDQ+nWrZvLPGrXrk29evU8mkdZPPPMMwwdOpTGjRuj1+tp06YNEyZMYOjQocClXcerdW7ns3jxYrKyshg5cmSNmpdEcrmRSk8VYrVaufvuu3E4HMyYMeOi7YUQKIqr66G3t3ephyyU7NGf/0XVvXt3gFJfYDfddFOF5lBZVJe5XShjWXJfyNU4t6+//hohBNHR0RiNRj744AOGDRvm8hC8lLkajUZCQ0PLnMe6deuwWq1X9Bp9++23zJ07l3nz5rF161bmzJnDW2+9xZw5c1zaVce5nc+XX35J//79SxkUV/d5SS5EwSEq5yUpQSo9VYTVauXOO+8kISGB5cuXO1d5ACIiIrBYLGRmZrr0SU1NLfVLzh09evTg4MGDnDx5ktWrV9OtWzfg3BfYsWPHSEhIuOLL1NV1bhEREQAuv5ovlLs6za1evXqsXr2avLw8jh8/zr///ovVaqVOnTqXNNdLmUd+fj6bNm1i5cqVLvPYtGkTGRkZbNiwodLvv6eeeopnn32Wu+++mxYtWjB8+HAef/xxXnvtNeDSruPFqKq5nSUxMZEVK1bwwAMPOMtqwrwkkiuBVHqqgLMKT3x8PCtWrCA4ONilvm3btuj1eqd3BkBSUhK7d+++ZDuOTp06YTQamTFjBoWFhbRt2xaAdu3akZ2dzaefforJZKJjx46VN7FLoLrO7awycL7cFouF1atXO+WujnPz9vYmMjKSzMxMfv/9d2655ZZLmuvFqFevHrVr1+bnn39m+/btzgdoZGQkcXFxvP322xQVFVX6A7SgoACNxvVrTavVOl3Wq/PczjJr1izCwsIYOHCgs6wmzEtSmpKIzJpKeUlKkBGZLwN5eXkcOnTI+T4hIYHt27cTFBREVFQUt99+O1u3buXXX3/Fbrc7f50FBQVhMBjw9/dn9OjRPPHEEwQHBxMUFMSTTz5JixYt6NWr1yXJYDab6dChAx9++CGdO3d2blvo9XpuuOEGPvzwQ+cDtrLmFhMTQ0ZGBseOHXPGHTpw4ABQ8ks0IiKiWs9twoQJvPrqqzRo0IAGDRrw6quv4uXlxbBhwwCu6rldyO+//44QgkaNGnHo0CGeeuopGjVqxP3334+iKBed66XQo0cPZsyYQf369V1WG7p168aHH35I3bp1iYmJqdA8LmTw4MFMmzaNmJgYmjVrxrZt23jnnXcYNWoUQLWeG4DD4WDWrFncd9996HTnvr6r+7wk7qmMrSm5vXUeVeY3VoNZuXKloERJd3ndd999Tlfusl4rV650jlFYWCgeeeQRERQUJMxmsxg0aJA4duxYueSYPHmyAFzcWIUQYurUqQIQU6dOrdS5CSHErFmzyqyfPHlytZ+bw+EQkydPFhEREcJoNIquXbuKXbt2uYxxtc7tQr799ltRt25dYTAYREREhBg3bpzIyspy1l/KXC/G2Xth7NixLuVff/21AMTo0aMrPI8LycnJEY899piIiYkRJpNJ1K1bV7zwwguiuLjY2aa6zk2Ic2ENDhw4UKquOs9LUprFixeL8CYB4qntt1f49fCKQdJl/QyKEEJcPpVKIpFIJBJJefnpp58Y89z9DJ/fu8Jj5Z8u5JNev2C1Wl1WCK9Fru3ZSyQSiURyFWOvhK2pyhijpiCtmyQSiUQikVwTyJUeiUQikUiuQoSQhsyVjVzpkUgkEolEck0glR6JRCKRSK5SHEJTKa/y8Nprr9G+fXt8fX0JCwvj1ltvdYYfOUtKSgojR44kKioKLy8v+vXr58wPeJbu3bujKIrL6+67767wOakIUumRSCQSieQqRKBgr4SXg/Jtb61evZpx48axceNGli9fjs1mo0+fPuTn55fIJQS33norR44c4aeffmLbtm3ExsbSq1cvZ5uzPPjggyQlJTlfn376aaWdH0+QNj0SiUQikVwD5OTkuLisG43GMgOd/vbbby7vz0YB37JlC127diU+Pp6NGzeye/dumjVrBsCMGTMICwtj/vz5LilSvLy8nGlSrgbkSo9EIpFIJFcplZlwNDg4GH9/f+frbE66i5GdnQ2UZA0AKC4uBsBkMjnbaLVaDAYDa9euden7zTffEBISQrNmzXjyySfJzc2t8DmpCHKlRyKRSCSSa4D09PRSKz0XQwjBxIkT6dKlC82bNwegcePGxMbG8txzz/Hpp5/i7e3NO++8Q3JyMklJSc6+99xzjzMv3O7du3nuuefYsWOHS444dxw9epS///6bo0ePUlBQQGhoKG3atOGGG25wUbbKi1R6JBKJRCK5SimvEbLaGH5+fuWOyPzII4+wc+dOlxUcvV7Pjz/+yOjRowkKCkKr1dKrVy/69+/v0vfBBx90/t28eXMaNGhAu3bt2Lp1K9ddd12Zx5s3bx4ffPAB//77L2FhYURHR2M2m8nIyODw4cOYTCbuuecennnmGWJjY8s1F5BKj0QikUgkVyUCym2EXBaejvHoo4/y888/s2bNGmrVquVS17ZtW7Zv3052djYWi4XQ0FA6dOhAu3bt3I533XXXodfriY+PL1Ppue6669BoNIwcOZLvvvuuVHLb4uJiNmzYwIIFC2jXrh0zZszgjjvuKNecpNIjkUgkEonEiRCCRx99lEWLFrFq1Srq1Knjtq2/vz8A8fHxbN68malTp7ptu2fPHqxWK5GRkWXWT506lYEDB7rtbzQa6d69O927d+eVV14hISHhEmd0Dqn0SCQSiURyVaJUUu6t8rUfN24c8+bN46effsLX15fk5GSgRMExm80AfP/994SGhhITE8OuXbt47LHHuPXWW+nTpw8Ahw8f5ptvvmHAgAGEhISwd+9ennjiCdq0aUPnzp3LPO7AgQOxWq3o9XpV+Xbv3k3z5s0JCQkp38SQ3lsSiUQikUjOY+bMmWRnZ9O9e3ciIyOdr2+//dbZJikpieHDh9O4cWPGjx/P8OHDmT9/vrPeYDDw559/0rdvXxo1asT48ePp06cPK1asQKvVuj320KFDEcK9lrZ792569uzp8dzkSo9EIpFIJFchJbm3Kr42Icq5vqGmdJxl/PjxjB8/3m197dq1Wb16dbmOC/DPP//w0EMP8dlnn5Wq27NnDz179qRr167lHvcsUumRSCQSieQq5VpLOPrHH3/QtWtXgoKCeP31153l+/bto2fPnnTu3JkFCxZ4PL5UeiQSiUQikVwVNGnShKVLl9KzZ0+Cg4N56qmn2L9/PzfddBMdOnTg+++/V90euxhS6ZFIJBKJ5Cqkql3Wq4r27duzePFiBg0aRH5+Pp9//jnt2rXjhx9+qJDCA1LpkUgkEolEcpVx0003MW/ePO644w769OnDwoULL+rVdSlI7y1JjWfevHm89957ZdYpisKUKVOuqDwXsnbtWh544AHatm2L0WhEURSOHj1aZtukpCRGjhxJWFgYJpOJli1b8uWXX5Zqt3DhQoYOHUr9+vUxm83ExcVxzz33EB8f75GMSUlJvPjii9xwww2EhITg5+dH27Zt+eyzz7Db7aXab9u2jVtvvZWoqCi8vLxo3LgxL7/8MgUFBS7thBB8/vnntG3bFj8/P4KDg+nWrRtLliwpt4zlOY/ns3fvXmf7zZs3u9TNnj0bRVHKfJ114y0P1eE8Sq4mKifvVnWy6QkMDCQoKIigoCBGjRoFwN9//014eLiz/GwOME+QKz2SGs+8efPYvXs3EyZMKFW3YcOGUpFGrzR//vknK1asoE2bNvj5+bFq1aoy22VnZ9OlSxcsFgvTp08nMjLSmdE4OzubiRMnOtu+8cYbRERE8MILL1C3bl2OHz/Oq6++ynXXXcfGjRudmZEvlS1btvDVV18xYsQIJk2ahF6vZ9myZTz88MNs3LiR//3vf862e/fupVOnTjRq1Ij33nuPkJAQ1qxZw8svv8yWLVv46aefnG0nT57M1KlTGTt2LK+//jpFRUV8+OGHDBo0iB9//JEhQ4ZU+nk8H7vdzqhRowgJCeHUqVNu282aNYvGjRu7lAUHB1+ybGepDudRcnVRmWkoqgPufqBWGkIiuUrIz8+/LOMOHDhQxMbGXpaxKwO73e78+8033xSASEhIKNXutddeE4DYvHmzS3mfPn2Et7e3yMzMdJalpKSU6n/y5Emh1+vF6NGjyy1jRkaGsFgspcrHjRsnAHHs2DFn2QsvvCAAcejQIZe2Y8aMEYDIyMhwlkVHR4suXbq4tCssLBT+/v7i5ptvLpeMl3oez+fNN98U0dHR4v333xeA2LRpk0v9rFmzyiz3lOpwHiVXB4sXLxaBjULEnesfqvBr8C/DBSCsVmtVT6vKqT7qn6QU+/fvZ+jQoYSHh2M0GomJiWHEiBEUFxcDJUGcbrnlFgIDAzGZTLRu3Zo5c+a4jLFq1SoURWH+/Pm88MILREVF4efnR69evThw4IBL223btjFo0CDCwsIwGo1ERUUxcOBATpw44WwjhGDGjBm0bt0as9lMYGAgt99+O0eOHHEZq3v37jRv3pw1a9bQqVMnvLy8GDVqFLfeeiuxsbE4HI5S8+3QoYNLvpaPP/6Yrl27EhYWhre3Ny1atGD69OlYrVaX4yxZsoTExESXrYmznL+9tWPHDhRFKXO7aNmyZSiKws8//+wsi4+PZ9iwYc7z0aRJEz7++GO318sdGs2lfQzXrVtHeHg4bdu2dSk/a+z322+/OcvCwsJK9Y+KiqJWrVocP37cWbZgwQIUReGjjz5yaTt58mS0Wq0zG3JgYGCZ++nXX389gMs9cLbd2fD0ZwkICECj0WAwGFzaXtjOZDI5X+XhUs/jWeLj43nppZeYMWMGfn5+5ep7ITXpPEquHgRUytaWqEbbW+VBXEI8oQuRSk81ZceOHbRv356NGzfy8ssvs2zZMl577TWKi4uxWCwcOHCATp06sWfPHj744AMWLlxI06ZNGTlyJNOnTy813vPPP09iYiJffPEFn332GfHx8QwePNhpZ5Cfn0/v3r1JSUnh448/Zvny5bz33nvExMSQm5vrHOehhx5iwoQJ9OrVi8WLFzNjxgz27NlDp06dSElJcTlmUlIS9957L8OGDWPp0qX897//ZdSoURw7doy//vrLpe3+/fv5999/uf/++51lhw8fZtiwYXz99df8+uuvjB49mjfffJOHHnrI2WbGjBl07tyZiIgINmzY4HyVRatWrWjTpg2zZs0qVTd79mzCwsIYMGAAULL10L59e3bv3s3bb7/Nr7/+ysCBAxk/fjz/93//d7HL5xEWiwWj0Viq/GzZzp07VfsfOXKExMREl62tu+++m7Fjx/LEE0847Vn++usvXnnlFZ5//nl69+6tOuZff/2FTqejYcOGzrL77ruPgIAAHn74YY4cOUJubi6//vorn376KePGjcPb29vZ9rHHHuO3337jyy+/JDMzk6SkJCZOnEh2drZq4LOKIoTggQceYNCgQdx8880XbT9o0CC0Wi1BQUEMGTKE3bt3u9Rfq+dRcvlxoFTKqzrQpEkT5s2bh8ViUW0XHx/Pww8/zBtvvFH+g1TxSpPEQ2666SYREBAgUlNTy6y/++67hdFodFkuF0KI/v37Cy8vL5GVlSWEEGLlypUCEAMGDHBp99133wlAbNiwQQghxObNmwUgFi9e7FamDRs2CEC8/fbbLuXHjx8XZrNZPP30086ybt26CUD8+eefLm2tVqsIDw8Xw4YNcyl/+umnhcFgEKdPny7z2Ha7XVitVvHVV18JrVbrsvSvtr0FiMmTJzvff/DBBwIQBw4ccJZlZGQIo9EonnjiCWdZ3759Ra1atUR2drbLeI888ogwmUwuxy8PatsyEyZMEBqNRiQmJrqUDx9esnQ9ZswYt+NarVbRvXt34efnV+qeKCoqEm3atBF16tQRe/fuFeHh4aJbt27CZrOpyvr7778LjUYjHn/88VJ1+/btE40bNxaU/FgVgBg/frxwOByl2n7yySfCaDQ62wUFBYnly5erHvtiXGx768MPPxSBgYEiOTlZCOF+G2vZsmXihRdeEL/88otYvXq1+Oijj0StWrWEt7e32L59u0vbmngeJVXH4sWLRUCjEDFk3cMVfg34+b5qsb31559/inbt2omAgABx5513iunTp4u5c+eKH374QXz++efi8ccfF+3btxfe3t7imWeeKfX9eylIpacakp+fL7RarepDLiwsrJQiI4QQ3377rQDEsmXLhBDnlJ5PPvnEpd3+/fsFIBYsWCCEECIrK0sEBgaKRo0aiZkzZ4o9e/aUGvuFF14QiqKIlJQUYbVaXV4dO3YU119/vbNtt27dRGBgYJmyP/HEE8JkMjkVM5vNJiIjI8Udd9zh0m7r1q1i8ODBIigoyOWhAIiNGzc625VH6UlPTxdGo1E899xzzrKPP/5YAGL37t1CiBJbCZ1OJx599NFS81y6dKkAxNKlS8s83sVQe1jv3btXGI1G0aVLF7F7925x+vRp8dFHHwmDwSAAMXbs2DLHdDgcYsSIEUKr1bpVWuPj44Wfn58wmUwiLCxMnDp1SlXOLVu2CH9/f9GpUydRVFTkUpeQkCDq168vOnfuLH744QexevVqMX36dOHn5ydGjRrl0vZ///ufU6FcsWKFWLp0qbj77ruFl5eX+O2331RlUEPtPB49elT4+PiIL774wllWHtudhIQE4ePjU6atTE07j5KqY/HixcK/Yai4de1/K/zq99PIaqH0nGXdunVi/PjxonXr1iIgIEAYjUYRHR0tBg0aJD788EMX+8XyIr23qiGZmZnY7XZVr6P09HQiIyNLlUdFRTnrz+dCT5SzWyaFhYVAiV3B6tWrmTZtGs8//zyZmZlERkby4IMP8uKLL6LX60lJSUEIQXh4eJky1a1b1+V9WfIBjBo1irfffpsFCxbw0EMP8fvvv5OUlOSytXXs2DFuvPFGGjVqxPvvv09cXBwmk4l///2XcePGOeUuL0FBQdx888189dVXTJ06Fa1Wy+zZs7n++uud20Lp6enYbDY+/PBDPvzwwzLHOX36tEfHV6NJkyYsWrSIhx56iObNmwMl+W3efvttHn30UaKjo0v1EWe2cebOncucOXO45ZZbyhy7fv363HjjjSxZsoSHH37Y7bWBEtuu3r1706BBA5YuXVpqy+3ZZ58lJyeH7du3O7dgunbtSkhICKNGjWLEiBF069aNzMxMxo0bxwMPPMBbb73l7N+/f3+6d+/O2LFjSUhIKPd5uhjjxo2jefPm/Oc//yErKwvA6QKel5dHdnZ2KfuY84mLi6NLly5s3LixVN21dB4lkstFp06d6NSp02UZWyo91ZCgoCC0Wq2L0eOFBAcHk5SUVKr8rFtuSEhIuY/bokULFixYgBCCnTt3Mnv2bF5++WXMZjPPPvssISEhKIrC33//rWp7cpbzDYrPp2nTplx//fXMmjWLhx56iFmzZhEVFUWfPn2cbRYvXkx+fj4LFy4kNjbWWb59+/Zyz+tC7r//fr7//nuWL19OTEwMmzZtYubMmc76wMBAtFotw4cPZ9y4cWWOUadOnQrLURb9+/cnMTGRQ4cOYbPZaNiwId999x1AqSR8ZxWeWbNm8eWXX3Lvvfe6HfeLL75gyZIlXH/99Xz00UfcdddddOjQoVS7bdu20atXL2JjY/njjz/KVA62b99O06ZNXWxOoCTKKpQY2Hfr1o0DBw5QWFjoLD+fdu3asXr1avLy8vDx8bn4iSkHu3fvJjExkcDAwFJ1PXr0wN/f36kMuUMIUabh9LV0HiVXhsrJvVUJgtQQpCFzNcRsNtOtWze+//57tysKPXv25K+//ioVe+Srr77Cy8uLjh07enx8RVFo1aoV7777LgEBAWzduhUoMfYUQnDy5EnatWtX6tWiRYtLPsb999/PP//8w9q1a/nll1+47777XMKPn1WYzlekxJkAbRdiNBrLtfLTp08foqOjmTVrFrNmzcJkMjF06FBnvZeXFz169GDbtm20bNmyzLl6EsPlUlEUhQYNGtCkSRPsdjvvv/8+rVu3dlF6hBA8+OCDzJo1i08//dRllexCdu3axfjx4xkxYgR///03LVu25K677iIzM9Ol3fbt2+nVqxe1atVi+fLlZSoNULKauGfPHvLy8lzKzxqQn12hPLvqeOGKiRCCjRs3EhgYWOqBXxksWLCAlStXuryeeeYZAD755BN+/fVX1f4JCQmsW7eu1GfoWjuPkivDtRac8HIjV3qqKe+88w5dunShQ4cOPPvss9SvX5+UlBR+/vlnPv30UyZPnsyvv/5Kjx49eOmllwgKCuKbb75hyZIlTJ8+XXX5vix+/fVXZsyYwa233krdunURQrBw4UKysrKcnimdO3dmzJgx3H///WzevJmuXbvi7e1NUlISa9eupUWLFjz88MOXdLyhQ4cyceJEhg4dSnFxMSNHjnSp7927NwaDgaFDh/L0009TVFTEzJkzSz1goGSFauHChcycOZO2bdui0Who166d22NrtVpGjBjBO++8g5+fH0OGDCl1vt5//326dOnCjTfeyMMPP0xcXBy5ubkcOnSIX375pZT3mRppaWmsXr0aKHlwQomLfGhoKKGhoXTr1s3Z9tFHH6V79+4EBwdz5MgRPvjgA06cOOHsf5bx48fz5ZdfMmrUKFq0aOHyQDQajbRp0wYo8cq78847qVOnDjNmzMBgMPDdd99x3XXXcf/997N48WIADhw4QK9evQCYNm0a8fHxLtGd69WrR2hoKAATJkzg1ltvpXfv3jz++OOEhISwceNGXnvtNZo2bUr//v0BiImJYciQIXz22WcYjUYGDBhAcXExc+bMYd26dUydOtXtamBFzmNZCv/ZyM1t27Z1uTd69epF165dadmyJX5+fuzatYvp06ejKApTp051tqtJ51EiqdFU0N5IUoXs3btX3HHHHSI4OFgYDAYRExMjRo4c6TSI3LVrlxg8eLDw9/cXBoNBtGrVSsyaNctljLOGzN9//71LeUJCggCc7ffv3y+GDh0q6tWrJ8xms/D39xfXX3+9mD17dim5/ve//4kOHToIb29vYTabRb169cSIESNcgup169ZNNGvWTHV+w4YNE4Do3LlzmfW//PKLaNWqlTCZTCI6Olo89dRTYtmyZQIQK1eudLbLyMgQt99+uwgICBCKoojzb3suMGQ+y8GDB51G0e48YBISEsSoUaNEdHS00Ov1IjQ0VHTq1Em88sorqvO6kLPXoKxXt27dXNrecsstIjIyUuj1ehERESFGjhwpjh49WmrM2NhYt2Oeb9R97733Ci8vr1KG6d9//70AxLvvviuEOGfo6+514X31119/iT59+oiIiAhhNptFw4YNxRNPPFHK+66wsFC8+eabomXLlsLX11cEBQWJjh07irlz55bpoVRZ5/FC3BkyT5gwQTRt2lT4+voKnU4noqKixL333uvi3SdEzTqPkquDxYsXC7+GoWLA6kcr/Oq5cFS1MmS+nChCeBDdRyKRSCQSyWXjp59+YsTTD9Ll87srPFZxej5/DvkfVqsVne7a3uCRNj0SiUQikVylXEvBCS/k8OHDvPjiiwwdOpTU1FQAfvvtN/bs2ePxmFLpkUguE3a7HZvN5vZVVlZtSWnkeZRcq4hrMMv6WVavXk2LFi34559/WLhwodOgf+fOnUyePNnjcaXSI5FcJurVq4der3f76tmzZ1WLWC2Q51EiufZ49tlneeWVV1i+fLlLnrkePXq4TSV0KVzbm3sSyWXkl19+cSZ/LQtfX98rKE31RZ5HyTWLqKQ4PdVwe2vXrl3MmzevVHloaGip4LrlQSo9EsllojxxiSTukedRIrn2CAgIICkpqVSg123btpUZff5SqXFKz6nTGa4ZWi/wTSsqLiIvNxeNUJxp6QMCA9FqS05FUVERBXk56PUG/PzKiGWj5ut2OZRpd8fz1OdOTUaVOnEF43yoH0ll4jXZD9HDuSmq/a6SE3YFHUiLi4oRQmCxWrCe+Z4wmkx4eXmhKeMez87Owma1AeDvH4DdbicvPw+NRoO/v39JVGZPPxuezFv19vfsPKpJ78mIqmfD03Ol1u+8Ov8AX/wDatbKX+VEZK5+Kz3Dhg3jmWee4fvvv0dRFBwOB+vWrePJJ59kxIgRHo9bo5SeoqIi4urUwZqXU9WiSCQSieQKExQQzMmkE5hMpqoWpVIQXLtKz7Rp0xg5ciTR0dEIIWjatCl2u51hw4bx4osvejxujVJ6LBYL1rwc6k54CY2x5KbXWkq3yzm4k6QlCwDwjWtK3snDCKurzYBGb6LNbZNK9dXnufcU0Vrc/y5S+8Uk9O5vSHf3qrbY4baPPs+mcjD3klh99W7rigPd3yo2s4r8mrLrFJVkMBoV8dVOpOL+lKDY3XdUu25q/dzhbs4lde77aVSckNTkUGwqc7O5PymKtew6jZvykmOp1KmtXKhdN5UxVVdD3NWp9SnjUIXWHPacWkJ+cQY31L4Xo87LWWexF5GYtYViez46rYkT2dupE9iBekE3XNrxVJdm3NTZVD4AdpVzZVO5gcrIE3auTuWBqNO6r1PcjKlVOZbW/XjC4P47Rhjc93PoS+ps9mLWbnkLi8VSY5SeaxUhBKdOneLzzz9n6tSpbN26FYfDQZs2bWjQoEGFxq5RSs9ZNEYT2rNKTxmfZ71vgPPv3KN7nX/712uJ1mjGIEyE1G2P1lD6g6PTqyg9Kg9yNUXbI6VH5ctPp/NM6RE690qPXa/2hVTJSo+aT6GHSo9GTTFQOSeK5goqPSp1anIoKntY2rKe8mf7CTdKj5tytT4ldR484C8yZqUrPWVcGl9tKNfF3MGa+BkcTF9N64ibURQNdoeVXSnLyCw6wfk3XkLmP0T7t8DHEOy5jGp1GhVFQ+1cqf1aUFV61Oo8UHrUxlNTerQq3zEqdQ41xawGICpjlaaarfQIIWjQoAF79uyhQYMG1K1bt9LGrpFKz8XwiWtI7Z5DKc5KI3XLCvQ+ATS59wWUMx9IY/ZVYusgkUguOzaHhY0JX2EXVlLy41lx5AMCzbWwOyxkFSXTPuoOfM3h7Ev9k6TcvYT7NMRbX3aSUIlEUnE0Gg0NGjQgPT29wis7pcau1NGqEUGN2xPetheKVodGb6Q42zVbeX7GCVLjN7rpLZFIago7T/xEobUkUW2z0L7UD+qEzWEhs+gkAjtmvT8GrRf1gzsDCvWDO6O4W+WQSCqVyonGXB1d1qdPn85TTz3F7t27K3Xca26lRwhBfsIBihMSEcJBaKtuZB3axoEF0/GOqIPO2w97djZ5aQkA+IbVxewfVuZYeVknyclIJKpupys5BYlEUonUC+1CVEBzIoz1nNnI6wRez960FRzL3saaxM9pE3Ub4T4N6dfw6SqWVnItUXmGzBWX5Upz7733UlBQQKtWrTAYDJjNZpf6jIwMj8Ytl9IzZcoU/u///s+lLDw8nOTkZKBEofi///s/PvvsMzIzM+nQoQMff/wxzZo1c7Y/cOAAo0aNIjExkTFjxvDSSy856+Li4khMTGTDhg107NjRWT5hwgS2b9/OqlWrPJmjC1k7NpL02/fozD6gaLAVlHh6mYIjcditWLLS8PKNcCo9u355AwCzfwSNe4+lMD0Fv6A4FEVh++r3AaTSI5FUY/zNkfibI1EsVpfypqG9CPWqy5akH9l2ahH9Gj5TRRJKJNce77333mUZt9wrPc2aNWPFihXO99rzDNOmT5/OO++8w+zZs2nYsCGvvPIKvXv35sCBA86oqePGjWP48OG0b9+esWPH0rNnTzp37uwcw2Qy8cwzz7B69WqPJyW0IM7MzH6Bkqz4lGiLxqja5B/e5ywvSk9y/u0Qdryi61Jw8oizrDA7mV2/vYctL4uAhm3Re52LBZETrUVRFPQFah5C7uXVqHgPuVuVtHq7X163ebk37NMWuTeEFLryG1QDOFT6OdzZRqsMqGaPqah5OKkZkpdl0X4GNfndjalmNK2K2nlUuQ00NpWOBvcdHSr9NNay7yE1o2+NxbOJq10bT+P0uL0GHnuRGUuVBQW25MawOKzF2Ti8StdfFDWPQoebSk/jFnnYT6hk3RZGFcNjNwbEDoP77yaHzn2d2mdUzQHg7PeWzVoNlzMuhqgcQ+ZKMYa+wtx3332XZdxyKz06nY6IiIhS5UII3nvvPV544QWGDBkCwJw5cwgPD2fevHk89NBDAGRlZdGmTRtatmxJVFQU2dnZLuM89NBDzJw5k6VLlzJgwABP5qSKb7PWRCkKp76f41Lu36I9od36U5B4mMKEQxSknEDR6hD2c09gW15WyRzitzq/YMKv7+tcEpdIJDUPk8EPs9a7qsW4KikJ8CoQwkFaxn60Gj02jY2ioiys1gJMpgB0OjM2exFWSwE6kzc6nYmCgtMIhx0fvyhM5iAcdgt5+ck4HHaEcKA3eKPTm/HyDkOnM6IzeZeyo7Ja8nE4bCgGPTZLIZbimhmf7VqN03Ps2DHV+piYGI/GLbfSEx8fT1RUFEajkQ4dOvDqq69St25dEhISSE5Opk+fPs62RqORbt26sX79eqfS8/LLL9O7d28KCwsZNGgQffv2dRk/Li6OsWPH8txzz9GvX7+SiKeVjG/TVsSNfJyjs98FQOvti72ogLz4PQS0uYGg+m2dbe3FRRSnJ1GYcoLirNPkJcZjyUx21mfs/Yew63qiOeNSWZiZzIFlHxPddiChjToikUgkNQ0hHBxP2szRE6sptpRWNrRaA1qtCYsll5LlNQW93ozVVgTCgU7vhUbRYknIPa+XgkajQ1EU7HbXpXEvn3CCwhqTm3WMwoIMEA4sxXlcNVHFJZVOXFyc6oKC3a6y7K9CuZSeDh068NVXX9GwYUNSUlJ45ZVX6NSpE3v27HHa9YSHh7v0CQ8PJzEx0fl+wIABpKWlkZOTQ2hoaJnHefHFF5k1axbffPMNw4cPL++cLglzZG18m7SmIOEghoBg8uL3kBe/B3thATqdN351m6L3DUBrNOEVVQevqDP5P/KK2Dv7/3CcCWZozcvi5OofqdX9dkBDbvIhbMUFJK7/Xio9EomkxpGefZg9hxdTbM0hNKgJgf5dAIVA/zrodSYUkwmdzoyiKAjhwG63oNUaKCrOJjV9HxZLLt7eEfj4RaKgxW4vQggHPoG10ZyJC+Rw2LBa8inIT8NmLeDYkZWkntyKX2AsfoFxaDRajOYg9HozdsWO3uAFQmHXhk+r9uRUMoJrd3tr27ZtLu+tVivbtm3jnXfeYdq0aR6PWy6lp3///s6/W7RowQ033EC9evWYM2eO0/D4Qs1MCFGqzGg0ulV4oCSL6pNPPslLL73EXXfdVR4Ry0WtW0c4Zcw9sJOTi+aQtmYZAEmrtMQMvh/fOk2Ac/PSGkzU/894Di38CI3egH+d5qTvXkfOsf0ERDXidPy/ANS5cShCOFAUDUI4uIajA0gkkhpCUXE2uw59j485nJZNhuHvW6tUG4f+3HedomjQ6UqCvO7cMYf8gtRS7fUGH8xewfgFxBAY0pCAoHpoNDqMJn+MppL8hyFRLd3KdM6mp6hCc5NcXbRq1apUWbt27YiKiuLNN990mtGUlwo9ib29vWnRogXx8fFOO5+zKz5nSU1NLbX6cylMnDiRwsJCZsyYURERLwlFUfBr3Ir6/52EPiCopNBh59hPX7DnvSeIn/WqS3tzcCQNbn8MW342+Sklq1i2/GynwgOQ8Pd8tn8zicT1P7Bt7gsU52de9nlIJBLJ5UIIwa5DP6DVGGjV8K4yFR416jcYiH9AHRSlZDVHo9ETXbsT0bU6YjT6k5q0g12bv2Tjqmkc3r+EogLPXJJrFgoOUfFXdVzpcUfDhg3ZtGmTx/0rpPQUFxezb98+IiMjqVOnDhERESxfvtxZb7FYWL16NZ06ld+l28fHh0mTJjFt2jRycq6MgZreP5C4EY8R1LoLGuN5+Xey08nYtcGlrSkwjKgut1KUdgJzaG0MfiUh6c9+oAHs1iLSDmzAYbNQlJNG1sl9SCSXA4fdRkbSXnLSj55ZWZRIKoeSrPT5pGUeICvvGI1i+6M/Lz/ZpRIc1IA27R+ic/dJNGp2O2avYJJPbcHbJ5zGze6gY/fnua7TeMKjriP55Cb+WTOd3Vu/IjVpOw6HZ/YbNQEhKudV3cjJyXF5ZWdns3//fiZNmlShKM3l2t568sknGTx4MDExMaSmpvLKK6+Qk5PDfffdh6IoTJgwgVdffZUGDRrQoEEDXn31Vby8vBg2bJhHwo0ZM4Z3332X+fPn06FDh0vuJzTnXBzdKbjCjSemYvYl9NYh6KLCyVj3F7bskhWaUyu+JzcpnrAeg5yrQb5du+CXmYglKwNLWsmvEl1AEL51m2AvKqAw6RiWjJLl3P1/fQqKQsvxb5c6piG7VNFFsRvda+5Wle8jrcW9nqvmquxQyQ+mhrvzrOaC6jC4r1NNKqrmnq32nanqVlz2mBq1RKRqbtEefvk4VD6pWgtkJh/gwPrZAEQ27Epc65sBsKvkAXPoyhZGNfGpScXlWOVYqglTVeo0Km7Iqrm+3KF2rVUTlbq/AKrXVC3nmLt5qxhvqn1uVFEZsyw38rzcJI4fX0t+QRqFBWnYbCVbRz6+0fjFNMWqNSA0CsVFOeTmnCA/Nxm7rRirNZ8iSzYOuxWD0RejVyAmryB8g+Pw9os8kwzRm5DADgTUbcm+9bPYs/MbtDojgVFN8Q9rQGD9toQ160ZW0j5Sjmxk3475GA/9QeNuD2D2c28WYXMTgkFSPQkICCjTXKZ27dosWLDA43HLpfScOHGCoUOHcvr0aUJDQ+nYsSMbN24kNjYWgKeffprCwkL++9//OoMT/vHHH84YPeVFr9czdepUj5WmihB4fWcCr+9Mzu7t5O7eRt7+XeTu2Y4tO5uQbv0QdhvZOzeTu3cbte4ajSk6lqLDh8ncuZGMLWswBIdjCAwhtHNfTv7yNQDeteqTfXgXGp3rU12XX/4vbzUlxNPEm2oPH7UYGnaVhKPuFBhPv7zVM6l71s+TJKbqcWdUxvNQ6bnYNc1LL3Hv9A2JIzc90X1jiUSF/PxUEo4sJy2tJPR/eNR1hIQ3w8srGIPRHx/fSPJzkzidtpfTqXsoyE8DQKc3o9OZ0eu9MHgHoDf4YCnKIS/rBMWFWQjhwMs3nLgWgwiMaOzs06LbfynITSX9xA5OJ+3m9LHtnP0AGcz+GL0CURQtxfnpnNj9Ow063VsVp6XKEFApKSSqYxqKlStXurzXaDSEhoZSv359dCqxpS6GIkR1XPgqm5ycHPz9/an74qtoTWcypLv7MVXOB13+of2cmPtZme0bPDkNrcmMxlKiiaau/pX0f1eW2VbRGxFnPL8kkspEqzcR22owRzb/QPOej+AbHHsRhc6DlR61AJA1eqVHTQ6V41WTlR6brYjjx9Zy/Pha9HovwsNbExbeAu+AKCyWPFKTdpCZHk9W1lHstiL0em+Cw5oQFNoIX//aGE3nfpXbL1gNdDhsZKcdYs+GLwEIqdWaRtffU1oOrYLNWkRRbhpFeafJz07CWpiNotWj1RsJrdseL//SMeLOYrMWsfnHF8nOzsbPz8+Ts3RV8dNPPzH0ybE0+WBUhceyZuSx694PsFqtFVIYriRr1qyhU6dOpeS12WysX7+erl27ejRu9Zj9VYB3/cY0fOkt8nbvROfjx7GvZ4BwENpjAJxnQ6EoCqGd+5KXGE9xygkUvQFhLYk5odEbcFiL8avfkqiutzj7GHLL/+WttrqituKh9hBRi4TsNrIy6lttdjdBbC/LSo+K/Bq1lR7V7S0346ltb6nh6UqPyjXVWgEh0OpNaHVGTh1Yxb41X+AXWgejdzAmn2D8Q+vh5R+J3VZMXuYJEAKTORCTd5BnAklqDIWFmezaOYfCwgwiI9sSV+cmQCEtbQ+Hj/xBZno8AAGBdagddyMBgfXwD4gBrftozeej0ejwD63vfH/6xPYylR4And6ET1BtfIJqE0IbZ7m7bfIazzUckblHjx4kJSURFuaa+zI7O5sePXpcmTg91zqKRoNf09YAxNz7MKf//oO0lUtJW7kMY1gkvvWa4lO3KebI2tS+eQSHPn/VqfAAOM78nX/iEAbfQGe5wYNscGqKhuoDUiXlhac2PTaTitJjKrv8iis9Htv0uBvvCm9vleOaNu4yitQj/1CQnUx28gFS8tNLot8GxVKUdxqbJd/Z1uwbRnidDoTFXY9O7+ZiSaolBYXpZOckEhhQH6PRt8zM8EXF2WzdNhONRke79uMwGv05enQlJ0+sRwgHfgGx1Gs4gLDI1hgMrlGpy3MrazQ6bhg0jU2/v4LZr/zevNcylRKRuRpub5UV7gYgPT0db2/PI6RLpcdDvGLrERP7MCnLF5P5zxqKU09RnHqK0xtWoGh1GIJKG9xp9EYc1mLsRQVY87LR+/hXgeSSmo7ZN5TYVoNK3ghw2K2kHNlIbnoifqF1CKndBo3OQGFWEuknd3J0568c2/MbgZFNMXkFERXXCaNXQIVksFkKyTp9iOKCDPyC6+LrGy3TtVxh9h1cSFaOq31XgH8dYqI7ERzUkOLiHHbu/QZF0dCk6R0cTfiT06f3I4SD2LjuREffgN7Lp8JyOOxWDu1YSPqp3dhtRYTHtq/wmJKay9n4O4qiMHLkSIzGc9sFdrudnTt3euQRfhap9FQQrbEkganG7IWjsAAAYbdRnHYuganWy4fQtjeR/PfPzrJjv8+l3n/GXVlhJdckGq2eyAY3EtngRpdyL+8QgqNbEBrTlgMb5lCUm0Z2ajzJRzYQWbcTIdGtKC7I5NSRteRlHsc/pD4BIfXQavU4HDaMpgCCI5s5xxPCQVbaIVKPbSL91O6SvEiKFiHsePlGEBFzPWG1riuJniu57LRqPoIjR1eQkrYLizUPgKzsBLKyE5xtTMZAQkKasGP7LAwGb+Lq9CQiog1GY4lNjNpqjt1uJeXkZgryT2Mw+pKVfgiD0Y/QOu3wC45DOOykJG4iKWE9RQUZ1G54E/7hDfALrnM5p13jqAyr2+pkuevvX7IYIITA19cXs9nsrDMYDHTs2JEHH3zQ4/FrpNIjdOc8TN1tJ6jeA2rZri9cITYbUfQG6j75Eo6MHHJ2baEw6Ti2nCzshYUIuw1Fp3NReADyTxwm93QiXlGxFAeU3ybGpuqW7r5Ol+/+WLpCtcznHm7nuNmWcajs0bvbEgP1vX3VrS+r+zqNWp077y0V93hVOdRsi9QWQlT6qdlbqc1NObNs7hfXlLa1p6HR6rAVF3Biz3JOHVrHiYN/AeAVVIvgeu1IP7KFzLQDZ5LwKoBA7+WPotGi1RmwFGRjtxRi8gslqnVfguLaYPDyIzvpIKfj/yVh768k7F9KUEwrQut3wDesLoqiqG75qdmgaYvLPilq43m6U1Bex4dLwq0hs0ofFWPx0sbWeuq0vpU63IrQlqSEyMs6wZE9v5CTmYjZp8RW4uTJjUTEdaBOs8Foz3iWnr1t3Bmn220WNv7yYpl1Kae2oJzJRSjsNoJiWxHe4iaObVqMuVZ9rF5l722rhWVQOydnr6ndIlcSawKzZs0CSnJvPfnkkxXayiqLGqn0XEl8GjUlfcUSTsyaSe2hYwjp1rdUGyEExYcOc3TBuejSik6HISD4SooqkbjlbMJcndGLmPa3EN26HwUZJ9GbfTH6hqAoCrEdSpadS4IfKpw+9C+F2SloNDrs1iL0Zj/8IhvgHRLjspUVEN2EwMgmWAtzOX1kE6mH/iE9YQsmv1BC63cgtE579KaKb6NI1FEUDd5+UWj1JkBBOOyAoPkNDxIQVr5gbxqtjpgWA7BbizH7hZF+Yid56YlYi/MIrN0CS2E2+adLwihkJO4g8/gehMNGYdYp/CPqX2R0yVmu5dxbkydPvizjSqWnghhCwqg16hFOfvUJp9f8QXifW0q1sefluig8AD51mqCrhP1yieRyoNUb8Q2vW2bdWYPY0AaXHjAUQG/2JbLZTUQ07UFuymFSD23kxPZlnNi+jMBazQlr0BG/8AbS9ucyUVSQyf4tc8nNOg6Aw26h+Q1j8PIvv2GxomiIbnyT831obFuEECRsW0TK4fUA+EU0ICe5xPNLOGyg0RHW4AaPZC/ISGLvT28B0GTQY3iHxng0TvWjclJIVEelB+CHH37gu+++49ixY1gsrlsYW7du9WhMqfRUAubasfi2akfewd2E9b651Jf2ofemlOrjsMhYPZJrE0VR8Iuoj19EfaxFeaQf2ULqoY3s//NTTL6hhDW4gdC67dEZpe1PZZGc+A9H9i7BfiaysrdfFE3bj8DhsLPz7xlodAbqt7wNk3fJ6nNu5nH0Bm+Mvpe+Gq0oCnGtb8a3VgOM3oF4B9fGWpjLth/+j1pt+hPVvKdHIRsS1i4g/dC5XEt6s2fBbiXViw8++IAXXniB++67j59++on777+fw4cPs2nTJsaN89weVio9lYRvkxZk/7uOvAO78W3c4qLtHRaZEVgi0Zt8iGzSjYjGXclNPUJK/HqOb1/CiR3LCI5rQ0SdTvgElS+xpcSVlJNbid/5o/O9f3A9mnccTVF+Ojs3fIrdZsFht5CwZwmKoiE38xjFhVmAQkSdDsQ2G3jJ4Qw0Gh1BMSUZ0fPTT5Cw4Vs0OgOh9cu3KniWwqwUp8JTu8OthDe98SI9ahiiclzWq+NKz4wZM/jss88YOnQoc+bM4emnn6Zu3bq89NJLZGR4noxWKj2VhLluA4yhEZz8fha1h/8Xr5i6KGesnmvd/QAnFnzhbOsd25Dat95fVaJKJFcdiqLgF14Pv/B6WAtzST38D6nxG0g7/C/eQbWJqNeJ4Nqt0epUrLYlLuTnpnBoz09kZxx2lkXX7Upck/4U5qexa8Nn6A0+XNdjDCcOrSbl2GZMXkEER7XAL6gOxYVZJO7/ncyUA7Tu8Tg6g1nlaK5kHttF/OrZAGh0RopyTzvttvJOHyPz+E5qtRrg/I50x/n1gXGtStVbi/LIPnUAr+BaGLxqZgiQa8176yzHjh1zuqabzWZyc3MBGD58OB07duSjjz7yaFyp9FQSiqKgDwqhOC2Z41/PIKz3zQR17A6Ad91GxNw2GntxIRqdHt+GLcoMFCaRSEq2L6Kb9yKq6U1kH9tLyuH1HN70HUd3/EzDjvcSENGoqkW8qnE47Bze+zNJxzY6y7RaA7GN+xFVpzMFucns2vAZBpMfzTs+iN7oQ51mA6nTbGCpsXwCa7Hr7xkU5qXiGxR7yTJ4BUZhDohEazCRl5pAQcYJfEPjSDv0DwkbvwMgtF4HTCoJRAFMfqG0G/l2md5b2Sf2k/D3fGxFeZiDomg0QIYAqUlERESQnp5ObGwssbGxbNy4kVatWpGQkEBFsmfVSKVHaAVCe+akVLKG61Axsgy4sQd5B0oS9Xm3boPdmWxTi3fj8+KZXCCWWlZxm5sfV2runZ66Rau5pWtVTJA0Wvf9HO4iCasst6qdDzV3djUUlQUCoeLi705+jxOfeub5r5pGQy1atieRqNVd7j3LQaWWNsV9GAIt3k1aULdJC4pzTpOw8muOH/wTc8MmAGjchA3w1IVcNamrh2lH1PKRufv5rZrDrIzz77DbOLl7BSkH1jptds6i1ZuJbX0zIWdWyQoKsti54VMMXgE06fYQGqM3VpX7RyglqzMWs8Di5/pDze6mn9CCxiuExnc9hSUviz3zXiEn8xi6jHinwgNgMdnR+pwbQy1K+4UhLrLit3Ns+Vf4xDTCOyKOlH9/J68o1f0A1ZTK896quCxXmptuuolffvmF6667jtGjR/P444/zww8/sHnzZmcAQ0+okUpPVWGKiXP+bTmdis6vZi63SiRXGqNfCOEtbyLhzzkcWTEbEBRnpRHZug9BZWx7XAsI4eDEjt84tfevUnVhdToQ12rwGfd0nD92Mk/txW4tomm3h9AbLx7/RFFKtA3h8EyTNPgEENaqO6nb/8IY4JpDaf93b2LwDcIUGI5/XDO8ImKxW4ux5mVjK8jFbi1CozfiE10fU3i0s58lJ4OTK7/Hv34rYvqNIGX9EjR6o4xwX8P47LPPcJy578aOHUtQUBBr165l8ODBjB071uNxpdJzmShMPIItKxNzvQbo/QMv3kEikagSWKcV9i53cHzDIsyBkRRmJZNxZOs1pfQIISjISiI9cRtJe1c6y6Ob9yK6QQ+0OjfRTIHigixO7V+JT3DsJSk8cM6mRrhdsr04Ue36k75vA1nxW2ly93PE//wxtoIcACy5GejMPhxf84Pb/saAMBoNfxYAh83Ksd+/RmM0U+umO8HhIHXrX4CCNT/bYxmvZqrCZf21115j4cKF7N+/H7PZTKdOnXjjjTdo1Ojc1nJKSgrPPPMMf/zxB1lZWXTt2pUPP/yQBg3OxXwqLi7mySefZP78+RQWFtKzZ09mzJhBrVrqzgk2m41p06YxatQoateuDcCdd97JnXfeWa55lIU0LKlMzltDzPjrd1IWLeDoW1M5NW9WFQolkdQcQhrfQOv7XqfxrY8TXL89BeknSDv4D6d2LKcoO62qxbusOOxWdi97l93L3nEqPGH1O9L29qnUatlPVeEBOL77NxzCToOOZWc4LwtFc2alR3iu9ChaLaHNb6QoK4V9C17DXlzgEtq+IPWYS/sGtz2KxlCyQhVQrzVxfe8DwG4p4tAPH1B4+hSxfYdjzcvi8KKz8c8Eh75/32MZr2ZEJb3Kw+rVqxk3bhwbN25k+fLl2Gw2+vTpQ35+SbJiIQS33norR44c4aeffmLbtm3ExsbSq1cvZxuACRMmsGjRIhYsWMDatWvJy8tj0KBBF82QrtPpePPNNz3OpK46dqWPeA2jaDQE9+xP+p/LCOjUDWGzkv3venS+flUtmkRSYzi7+hDZshfZx/eQuL7ETiR511+0+M/zGIw1L46LcDjYPP9Z5/uwBjdQq2W/S16xAchOPURIrVblSiZ7Vulx2G2X3KcsvCPqENVhEKagCI7//QPWvCwAojvdQmF6EhkH/nW2jV/0IQBRnW8hrFU3HDYrQggy9/5LcXoysQPuL6XgRHe/HVtBLin//l4hOSUl/Pbbby7vZ82aRVhYGFu2bKFr167Ex8ezceNGdu/eTbNmJfaqM2bMICwsjPnz5/PAAw+QnZ3Nl19+yddff02vXr0AmDt3LrVr12bFihX07Vs6e8H59OrVi1WrVjFy5MhKnVuFlJ7XXnuN559/nscee4z33nsPgJEjRzJnzhyXdh06dGDjxnOeBAcOHGDUqFEkJiYyZswYXnrpJWddXFwciYmJbNiwgY4dOzrLJ0yYwPbt21m1alVFRL78aLVoTCZC+5dEZg4bfHtJeUEVyiSR1EBMfiG0uP1FhMNOwt/zyD6xH0t+Vo1SeqxFuWQk7iJxU0mcHbN/OC36P3FRV+8LyUzah6UgC72pfOfmrJepvbhiX2CHl3zq/Dv2pmGk7V5LQeoxTq7/CUWrwz+uOSgKRZnJIEqSNJsCwzn213wy9m8iquut2IoLQatD0ZV+bDmsFrIP76qQjFcrlbm9lZOTg+6882c0Gl2ymLsjO7tk6zAoKAgo2bYCMJnOeZZotVoMBgNr167lgQceYMuWLVitVvr06eNsExUVRfPmzVm/fv1FlZ7+/fvz3HPPsXv3btq2bVsqB9fNN998UbnLwmOlZ9OmTXz22We0bNmyVF2/fv2cScOgJDPq+YwbN47hw4fTvn17xo4dS8+ePencubOz3mQy8cwzz7B69WpPxasytF5eOIqLETZbmR9OiURSeWj1JV/YQXVaU5Bxin2/vodfZEMimnbDL6pRtUxpUZSbjrUwm6Kc0yRs/NZZrjV40bz/xHIrPMf3/sGJPcvxCYohslG3cvUVDhsoGo5v+ZWsE3uJu+GOS46IbC8uJCthB6k717iU+9ZuRFDDdhTnpFOcfZqC1ETSD2xC7+VHcdaZLcrsNI78+hk6sw8ag4lTaxajaHUIu41jy+eVOlbSul/Q+waUa27XIsHBrhG2J0+ezJQpU1T7CCGYOHEiXbp0oXnz5gA0btyY2NhYnnvuOT799FO8vb155513SE5OJikpCYDk5GQMBgOBga42reHh4SQnJ19U1ocffhiAd955p1Sdoigeb3159FTOy8vjnnvu4fPPP+eVV14pVW80GomIiHDbPysrizZt2tCyZUuioqKcWuRZHnroIWbOnMnSpUsZMGBAueUT2vPcYN1tZnrqwqfWT3tuGdihcaA5z81SzQ1b1VXWTZZsXaHKeGqZtVXuE7Xs7FqL+4mrZT535+quUVktV9Tc2VXuWDU51Fz11bKUo3Ld3B5KbW4eZmBXNanwMF6fO3d2Nfm1Vs+UCLuajCrPcLX71X7eRfVr1Z7GzduQfWgHaTtWc/DPzzEGhRPWticBjdo6lR/VbOkqx3LnHg8XydyuOreyO+5d/JHT0Pd8mt/7EkLocCfmhfexrSifjMSdnNjzB8EN2hPT6T/YyvghZjO5n4Dd5E+9ex/n6PczyTq+h8z2nfANKQkZcP68M7avx15cSGiHnlizMjj9719k7vkHccGDya9JG07uWo7WaELRarHl56I1exF333i0vr7Y8nLJ2rERh6UYU2RtfBs0QwhB9q4t2PNzSVuzDHv+uXNjiozBGByOd2x9fOo14eAHL1Gj8MQgx904QHp6eqmVnovxyCOPsHPnTtauXess0+v1/Pjjj4wePZqgoCC0Wi29evWif//+FxdFiEv6MeLw0GPwYnik9IwbN46BAwfSq1evMpWeVatWERYWRkBAAN26dWPatGmEhZ1zV3z55Zfp3bs3hYWFDBo0qNQyV1xcHGPHjuW5556jX79+aMr5y6YqcRQWojGZ0Og9eFpKJBKP0Wh1BDZqi3+j68g/dYS0rSs5vnweOi9ffGOqR0BDW1G+047mLDovP0KbdUGjM4D14k/AE1uXkZGwDUtBNsJhQ2fyIbJ1bzQeRrM2h0UT1fM/HF/yNZm7/8Vhs2IOr43ePxB7USF5Rw+QtKLE+yrvyF4KTiagNXkTdkNfzOG1Ofrjua2tnH3byjyG1suHoOu7ovPxJaRzb5c6BQhs3ZHsPa4JJiMHDSWgRXunImsvrompfSop4eiZHwh+fn4uSs/FePTRR/n5559Zs2ZNKY+rtm3bsn37drKzs7FYLISGhtKhQwfatWsHlAQXtFgsZGZmuqz2pKamOiMtXypFRUUuW2kVodxKz4IFC9i6dSubNm0qs75///7ccccdxMbGkpCQwKRJk7jpppvYsmWLU6scMGAAaWlp5OTkEBpadkTOF198kVmzZvHNN98wfPjw8opZZVhSkjCER1a1GBLJNYuiKPhE18M7qi77Z08l99iBq1rpsRUXkpd0iNTda8hLOpcywuATSHCTTujNJQEC0/dvPG816gLlR5SsYlmL8kjatQL/6MYExrVCo9ES0uB69H5BFZLRu3Z9DIGh5BzcQc7BHQDo/YOwZp/LgaTo9GiMZqL7DcWvfgusOVmkbfqzzPH0/kEEtbsRQ0AwWi8fzFGloz0LIbCcTiH34G5y9m6lOK1kS0QfGIIxJAKfek0qNCeJe4QQPProoyxatIhVq1ZRp04dt239/UviI8XHx7N582amTp0KlChFer2e5cuXO13Nk5KS2L17N9OnT7+oDHa7nVdffZVPPvmElJQUDh48SN26dZk0aRJxcXGMHj3ao7mVS+k5fvw4jz32GH/88Ydbreuuu+5y/t28eXPatWtHbGwsS5YscYmiaDQa3So8AKGhoTz55JO89NJLLmNe7RQnJ+FVr35ViyGRXPMoioJ3VB0KTh2palHKxFqQS9KWZaTHb0aU4R1lycskadOSco/rF9mQBj1Hu6S6qehGgc7bl/rDnyBz9z8k/bUIRafHK7oO5utuROfth1/Dls4VqsJTxzixbB65h3ej9w0gsvutBDRrj8ZgIuvwdpJ++47aQ+53CTgIJWqcw1JMwcmjFByNJ3vPVmw5WSg6Pb6NWhDSpS/m6Dj0vtdOEMKSiMyVME45xxg3bhzz5s3jp59+wtfX12mD4+/vj9lckibg+++/JzQ0lJiYGHbt2sVjjz3Grbfe6jRc9vf3Z/To0TzxxBMEBwcTFBTEk08+SYsWLZzeXGpMmzaNOXPmMH36dB588EFneYsWLXj33XevjNKzZcsWUlNTadu2rbPMbrezZs0aPvroI4qLi9FqXZdmIyMjiY2NJT4+vtzCTZw4kRkzZjBjxoyLN74KEEJgTU9D36F8S3cSieTy4BVZh+xDO3HYrB5v71wOMg9t5/ia70GByOv6ElivDXovPxRF42ojdMHOhvY8e70L7SI8Tb9xMRxWC0XpyWTv20rByQSAknAc+7YR3X+oU7myZKVz5Jv3sRfmARDd5278m1yHRnvuMePftA0+dRuTnxiPISiU0xv/QtFosOZmUZRykqKUU+CwozV749u4Jb6NW+IVHYdGf3HbE0nlMXPmTAC6d+/uUj5r1iynC3lSUhITJ04kJSWFyMhIRowYwaRJk1zav/vuu+h0Ou68805ncMLZs2eX0hPK4quvvuKzzz6jZ8+eLhGYW7Zsyf79+z2eW7mUnp49e7Jrl6tb4P3330/jxo155plnypxIeno6x48fJzKy/Fs+Pj4+TJo0iSlTpjB48OBy97/iCAGKomo0K5FIrhzekXEIh53C1ON4R9WtanFw2Kwc//sHMg5sIqBOK2K63I7OdEGsHZXvD0XNErsC2C3FHFs+l/ykI9TqfgdZh7Yj7DaEBnKP7AMEGr0RY0gkIdf3JOfQbhSNxqnwHJn7HoXJ54IMRva4jcDm17scQwjB8YWzyT1Y8gwxRdSmKPk4ADofP7zrNMS/RXu84xpgCA51TcpcDXNHVRZVEZH5UhJ6jh8/nvHjx6u2MZlMfPjhh3z44YflOj7AyZMnqV+/9K6Jw+HAalXx1rkI5VJ6fH19nS5rZ/H29iY4OJjmzZuTl5fHlClT+M9//kNkZCRHjx7l+eefJyQkhNtuu80jAceMGcO7777L/Pnz6dChg0djXCns+Xlgt0sjZonkKsEUHIlGbyQ/KaFKlR4hBCnb/iRt5xrs1iJiegwluF67q8alPnXrn+Qc3QNA4u9fudSZQqMJatOZgCZtnatl4V0GwJnEqPs/+T/seSUeuFF97yaomauyc5bi9GSnwuPboDnWvBwMQaFE9rsD75j6qglHr2kqQemplDGuMM2aNePvv/8mNtbV3uv777+nTZs2Ho9bqYFktFotu3bt4quvviIrK4vIyEh69OjBt99+i6+vZwHD9Ho9U6dOZdiwYeUQRJS8UNFw1RRZNbdWlSzTxSdKfrV41W1QyjVW1S1dxVXcrSwqXxB2N5nZAYRqdnaV7M5u3GtBPTuyIbfsCejzVTKzq8ioK/AsO7uaW7pdpZ87N3i1OXuS2Rwuco+oBcRVu19V6jzxCLV5GBVeLZyAqhu52rzdfbRdyrWYo2LISzlKkPkiIQNU5PD0gazYwJafy4nf55GXeIDA5h0IadsdY1A4orjsS6cmo5p7udr9X6xiBmPDQvq+DSh6AygKwlISZ0IxGAm/6x68GzdDURRcv6aUktAgQmCIiqTwYDZhdw3DfF07CjSlZ1V0NIHUX+cDEH7/aLybNnWtr8BSztnr5ii6hpeDaiCTJ09m+PDhnDx5EofDwcKFCzlw4ABfffUVv/76q8fjVljpOT9Cstls5vffKxYG/OjRo6XKhg4dytChQys07pXAnpMDioLOP6CqRZFIJGcwR9chc9u6kvggV3jv2Zafy5FvP8BhtRBzy2j86ja7oscvC+FwkL76d9L/Xo6i1aExmbAXFlD74YkUHj6AMToGY3gkGpMZ9OranqIo+HfqQuHB/Zhiy/bwyduxg7Tvv8UQFk7E/aMwqMRwqwhZ69ddlnGrFFE1hsxXA4MHD+bbb7/l1VdfRVEUXnrpJa677jp++eUXevfuffEB3CBDBlcijuIiNEZjuSOmSiSSy4dXdByn1/+BJTMNU0DYxTtUEsJu59ivs3FYLdS9+zEM/hVzG68o9oJ8Tv34NQUJB51lwm7Dp1krfJq3whQZjSmytEfVxTDFxABwbPo0gvr2J6BXL4TDQcG+vRQeOkTOurV4NWtO2N1D0VxCMDxPyd+187KNLaka+vbte9F0FeVFKj2VSOHxo2i9fapaDIlEch7mqDgACk4kVEjpsWRnkL1vK7mH9+KwFCHO7A867XKc9jklzgwOiwVrbiZ1bh9X5QoPwPFvPqU46QRaLx8UrYbwAXfgVa8RmCv2GNB6+xBwUy+yVv1Fxu/LcNht5GzYgCM/D0WvJ7BPXwJ63IRyCR47FSFqzFiOTn7xsh6jSqjEiMzVkc2bN7Nv3z4URaFJkyYu3uOeIJWeSqI46RT5e3bh3bjql68lEsk5bGfTFlQgrH3mzo2c+v07FJ0O37rN0PnWLvEuOvMwETjOe7CIkr8VBd+YRnhHuw/sdqXI2rKe4qQT+DRpSfQdI13qKsPTPbjvAIJ69yPpf5+TtWI5AD7t2hN6x51XbOX7ajEKr2yqwnvrauDEiRMMHTqUdevWERAQAJSksOrUqRPz58+ndu3aHo0rlZ5KIv2XnwHwbV0xLVQikVQuqWuWovcLxL95O4/HMASVrBBF9b6DgObtL7mfqiH2FSLvxCFSlvxAQLtOhPXzzIv2UlA0GiJHj8FhLcJhsaDz87tsx5LUfEaNGoXVamXfvn00alQSUf3AgQOMGjWK0aNH88cff3g0rlR6KgFhs1F0/BhBPfvi26J1VYsjkUjOUJh8nNyDO4kaMLTE3drDZQ3vWnVRNFqKM1IqV8DLjCU3k8SlczBFxxDWf4hr7JvLgKIoJbkHKylPkoRrdnvr77//Zv369U6FB6BRo0Z8+OGHdO7c2eNxa6TSI5TzXEzdmK2rxvhScd0ui9ytWxAWCz6t2rh1bVXNAO4BHmcUV3NrDVA5nlq2aFWX6bKFUXWl1rmfgLus8+B5RFq7im2l23mrnWMPP1Vq8qu53Hs670qP4Kvm8q0WKkFlNcQTV/3zr1lO4l40JjM+17XFrvHcPV5TLND7B3H635UEteyMwe9cAkVPHyjuQiWo7USofX5t3qXLTm/fiMNuJWz0SGz+CmUJ69C7n4DQqUxO66ZORX7VXRbVmAGXkJW70MN4Clc5lbI1VQ23t2JiYsoMQmiz2YiOji6jx6Uh3YwqAUtqKigKWq8yvnUkEkmVIIQgP34fXrH1PLYrsWZncnrDnxz66s0S76+waHTm6vM5t5xORVgsFJ84UdWiSCTlYvr06Tz66KNs3rzZGSF68+bNPPbYY7z11lsej1sjV3quNAFdu5G9dg25O7cRcEOXqhZHIrnmseXnkrToG4pOHSP67vIlJrQX5pOzfyc5e7ZQcPwIik6PX73mRNw4CJ+4xtUmJIWw2yk6UZIaInfTJrybSSeLaofgmt3eGjlyJAUFBXTo0AGdrkRVsdls6HQ6Ro0axahRo5xtMzIyLnlcqfRUAjo/vxJ31eoYAUoiqUEIIUj/+08y/1kDikL00AfxadCkzLYOqwVLehqW9NSSV1oaloxUilKTQDjwjmtI5KCh+DZsgUGpfjYqST/MxZadSUDHGwm8bVBViyORlIv33nvvsowrlZ5KQh8YSHHSyaoWQyK5pik4Gs/plUvxv64jwTf2Ru8fWKpNcVoyGRtWkb1rCzhK7EC0Xt4YgsIwhkXh36I9fo1bofM5z/tILVXMVYrW7AVA1r/r8Lq+DbrAQLJXr8a/WzfpWVVtUKicDNbVz6bnvvvuuyzjSqWnkvC9vgMZS5fg3bAxPtKDSyKpEqyZ6QCE9bkFjeGchboQgsJjCWSs/4v8+L3ofP0J7dEfr5i6GIJD0Zq9rwr38sok/OY7CO1/K4emPsOpDz4gsH9/sletInvVKmImT5aKT3XhGt3eOktqaiqpqak4Loiz1bJlS4/Gq5FKj9AKxFnPAneeWGo3gYoXgXAznv9NPchc/ge5+3Zibt+qDJlUjqeihbtLRqrqIaQyN9XkpiqmCmrHU3WEc+N1ZPV2P2e1BKDaYvd1iorzhprzglBJxujOe8VT7zmPI8G585QBUEkGW9moJuxUqVM7/4pWJZltOe9zY8P6KMsNHPt6BkE9+mCKqk3RsaNkrv2LohPHMIRFEH7r3fi1uA5Fd25wB6C9DMlU1T437j4bDhVvQpu3SqJeY8kFyP5jJYW79+Pfvyemxg0wt25O4fbdFGcmO9tmbV1LwC19AFBUvLcUrfuLqnHrvaUyntp3awU9jBzaargcJ3HLli1buO+++9i3b5/TkPksiqJgt3v2ga2RSk9VYYyLo/DAAYTN5vKFKpFIrgyGkFCiR4zh9B+/kjT3S2e5Oa4eUfc+gHe96mOI7AnCbidr0VIAUuOPYGxQl+L4IwAUbNzmbCe/n6oR1XiVpiLcf//9NGzYkC+//JLw8PBKi7gt7/xKQlEUgm4exKm336XoaCLm+vWqWiSJ5JrEHFeX2mPGU3TqBPa8HHS+/hjPJNKs9NhEVYy9oBBhs2I7nY5DZ6f4SKJrfWaW82/vzu3QhgYh8gvw7X3jFZZUIikfCQkJLFy4kPr161fquFLpqUycS3DXqGoukVxFmKJqVbUIFSJl4beYYmLxb9cRIQRFxxPJ2b+d/B07UBQNDqsVR15eqX6mJg0xxNbG+/o2ZC9dge10iTuvPiKUrB+XASUKkKFW5BWdj8RDrtHghD179mTHjh1S6bmaKUo4iqLTYapT9QkGJRJJ9SZnyz/kbPkHYbWStXEd1tOpaMxmjDExKGYjBdt3urQPuG0gvjd2RGM+514fMuIubDf3QxvhjyM3n6K98WgD/NAFl/Zqk1x9CConEkp1jKbyxRdfcN9997F7926aN2+OXu9qBHfzzTd7NK5UeioRe1YWaLUo2krOOSGRSK4pzjfcTPt1kfNvR2EhhQcOlNlH6+fjovAAKHod+tBghMaB1t+XsCcevDwCSySVzPr161m7di3Lli0rVVcRQ+YKWfS99tprKIrChAkTnGVCCKZMmUJUVBRms5nu3buzZ88el34HDhygc+fO1KpVi5dfftmlLi4uDkVR2Lhxo0v5hAkT6N69e0XEvaxY09PJXrnKGfdDIpFIPMFhsXDi0w9cyoxRtdD6+KIYXV27jLGxhI95gLi3p+PT0fMs8pKrFFGJr2rG+PHjGT58OElJSTgcDpeXpwoPVGClZ9OmTXz22WelfOWnT5/OO++8w+zZs2nYsCGvvPIKvXv35sCBA/j6+gIwbtw4hg8fTvv27Rk7diw9e/Z0yZpqMpl45plnWL16tWfCacU5F193HutqBo0q+5/uXJhz/i1R0sImPITDXHpwu5/7A9pN7leGDFll66WqLsAe3uBqY6ol5VRzFXfnsqvqyqtSp89zPzmdiju71df95BwqSRUdRjcu60aVG0hlPI+XmdX6qVw41XvBE1nUkvGqurOrxQxQOf+28s9N7X7UWFXuAw8TvtrMKv3c3D8lY5Zdd/qbBRQddzVILj51Ao2/D8ZaEZhbN8Tcoh7G2IjzvLAs6PXuJ67RuJ+cVuNeRrV+leRMc0lcyufGrqh8AUiqHenp6Tz++OOEh4dX6rgeKT15eXncc889fP7557zyyivOciEE7733Hi+88AJDhgwBYM6cOYSHhzNv3jweeughALKysmjTpg0tW7YkKiqK7Oxsl/EfeughZs6cydKlSxkwYICnc7uiWFPTMNavg6leXFWLIpFIqjG60CDn3z7d2uPbsyO6sGA0ZiNao1xJvua4Rg2ZhwwZwsqVK6lXr3I9oT3a3ho3bhwDBw6kV69eLuUJCQkkJyfTp08fZ5nRaKRbt26sX7/eWfbyyy/Tu3dvvLy80Gg09O3b12WcuLg4xo4dy3PPPVcqCuPViqleXYoPJZC5eBmimsgskUiuPgL+05uo1x4HwNSsPobYKDRmlaVWSY1FoWRFszJe1Y2GDRvy3HPPMXLkSN5++20++OADl5enlHulZ8GCBWzdupVNmzaVqktOLon4eeFyVHh4OImJ55ZrBwwYQFpaGjk5OYSGhpZ5nBdffJFZs2bxzTffMHz48PKKecXx69oZh7CQ9dNvOAoKCBo6pNKCKUkkkpqHsNvJ37KdnOV/EfbwaHRB51Z4Ut6eBYC5RcOqEk8iqVK++OILfHx8WL16dSlTF0VRGD9+vEfjlkvpOX78OI899hh//PEHJpP7rMMXPuyFEKXKjEajW4UHIDQ0lCeffJKXXnqJu+66qzxiVgmKRoN/v5vQ+vqQ/vX3GKIj8e3WqarFkkgkVyHWjAxOTJ3mfH9+hGRhs2M/nQWAxqv6ZXeXVDLXaO6thISEyzJuuba3tmzZQmpqKm3btkWn06HT6Vi9ejUffPABOp3OucJzdsXnLKmpqR4ZI02cOJHCwkJmzJhR7r5VhU/n6/G6riV560qvhEkkkmsX6+nTnP7hRwoPH3YqPN4d2hE99UW0Z5J/OgoKSXnjcwB0ESFVJqvkKkIolfCq6kl4jsVi4cCBA9hslZMRuFxKT8+ePdm1axfbt293vtq1a8c999zD9u3bqVu3LhERESxfvtxF4NWrV9OpU/lXPXx8fJg0aRLTpk0jJyen3P2rCl1wIPbc3KoWQyKRXAUIITj1/oecmPYauevWk/zRuR9xvl07oQsMcLbL/GUZxQcTUfQ6IiaNrSKJJZKqp6CggNGjR+Pl5UWzZs04duwYUOLK/vrrr3s8brm2t3x9fWnevLlLmbe3N8HBwc7yCRMm8Oqrr9KgQQMaNGjAq6++ipeXF8OGDfNIwDFjxvDuu+8yf/58OnTocEl9zs+y7tasRs3exqHiZqpmpnOmmz2/AEWvRzjObetpTe61VIfOveGzrbjslOOGHBXXWxX3WrvaavklzK0sNCoKuNW77HI1GXVFnh1LW+T+PDpUAkYKg8r1NpftLaPoVbJPq9R5aual6rKrUidUblj3dR7eCCr91EJECJv7316Kiou5uw+jRsXNXVV8FRntJvcd7T7uO1pzkjj1zDsuZRpvM36Du5O1YBnJb36A9/VN8O3SAmtSOnl/r8evYyPiXrjjTOt8l75eBqvbY+lV0sRrVCZe2ZnPHar3j0o/Dz2Mzspos9XALOuVFWOnGq70PPfcc+zYsYNVq1bRr18/Z3mvXr2YPHkyzz77rEfjVnpE5qeffprCwkL++9//kpmZSYcOHfjjjz+cMXrKi16vZ+rUqR4rTVWBd7vW5K/fhPXEKQy1o6taHIlEcpUQOGwgfv26AJC3Yj2209kU7jpC/r/7APDr3Y7YR/uqDSGRXBMsXryYb7/9lo4dO7rYBDdt2pTDhw97PG6FlZ5Vq1a5vFcUhSlTpjBlyhSPxjt69GipsqFDhzJ06FCPxqsKzio6BTv2SKVHIrkGyVy8FENMLcxt67qUa/19nH/79WxLxverMLesR/4/ezHUCiV01ACUmpYKXlIxrtGVnrS0NMLCwkqV5+fnV8gzukJpKCRlo/XxxrfnjWQvWU7GDz+75NGRSCQ1m5yVa8n5fSWnP/8aW1qGS13xoWPO74OgITdijAsn/5+9hI29hZi3/4tGL9MhSi7gGk1D0b59e5YsWeJ8f1bR+fzzz7nhhhs8Hld+wi4TQbffjC4kmMxvF2PPyCJ4VH90Qf5VLZZEIrmMWE9nkPndTwAE33cXSZM+dKnPXb4B/8E90Ab4omi1GOtFU3wkCUWnkYmKJRLgpptuYuHChbz22mv069ePvXv3YrPZeP/999mzZw8bNmzwPEUVcqXnsuLXvTMho+6h6FACya/+D0eRzA0jkdRkrKfOhetIn/NtmW1S3//a+bfW1wuAgp1HLq9gkupLZbise2hcXhWsWrUKi8VCp06dWLduHQUFBdSrV48//viD8PBwNmzYQNu2bT0eX670XGa827dGMRpImzmLxNEvEzPjOTK+/QPsdhyFxWj9vFG8vNGFB+PTtZ2M4iyRVGNMjRtgbFCX4vjSSoy+dgTW48lYDh/HUVSMNTeLzIVrAAi6q8eVFlUiuepp0aIFc+bMqdQxa6TSo2gFyhmXdbdekGpZylU9dlUq3WQr1kedCzKW8u48iuMTy2zn3SwKQ23XII5W/7KXvK1295fOoeaC7a2SsFBt3mpuwLkqy/JuUga5yzAN6pmwbWYVt2iN+4VLoSKimiyKoWyjUq2KW7pWJdu1VjVrtWeuw2quvg67+3Nid+Mqrnb/a7SeGdmqymFRmbfKNVWsZdepuser3Ac2N+EVABxeKtfN+5wbuRYIf3o4xx78v1LtQvu3xJZdj9Rv15Ey+X0058kS3cAA5AHgY3C/ImzSuo/ZoFG5fzx1B1e9t9zUqbmsXw45zmLT10CXdSopb1Y1s+nJzc1VzfoA4HcmoGd5qZFKz9WGLjgI/1t7URyfSNGeeGd58Ji70Ab4otUUoQ8LxFCrtKW6RCKpXmhMRmLnvELifS+6lOf8G0/M4zeT+u06LEmZzoqZjwAA69JJREFUzvJ234670iJKqgvXaJyehg3d55w7m9bKblf5Aa+CVHquAIpOS8BtJRnpT3/6LfnrtwGQ9cNvRL/zLAavygmvLZFIrg4UjYbYWS+TeP9L58p0WrLX73e+928TS+Mpt6E1lx2AVCK5Vvnhhx8IOi8Bb2UilZ4rjKl5A6fSY8/IxpJ4CkMTucIjkdQUrMmnsecVYM90TZ2Tu/kQhYeSnO8jBreRCo9EUgadO3cuM0ZPZSCVniuMd4eWZHz1E743dcTUtB6G2hGoxr+XSCTVBiEEJ596p8w6r0bRFBw4CUCjmWMJrueZTYJEIvEc6bJ+hVF0OszNG5C7Yj22jGxsGdlVLZJEIqkkFEUhYtJD+HQt7VJrCPNHF+RDYK+WmGrLDOqSS0MRlfOqLsTGxqK9jDGr5EpPFRDy0F2kfbKAjP/9WPL+vv4EDCx/FnqJRHL1YWoYi6lhLCEP/gf71g0cf/cXALL+3ovGbCBkUPsqllBSfVDUPYYvlcoY4wqRkJBwWcevmUqPVpS8AMXdWpaK4bfq/eGpxny+G7ZiIPThEdizc0n7cDY5q3bg3bNrmd0MQWWnHLeaVS6divxBgflu63Qq7tRZeWa3dRade9dCpbj8i4k2L/cTKFTZ5tUWqbi6q7gjo3N/Ud25phuMKtmude5vLqPOvdG61k3Ig5I699fGYnP/q8hid1/ncJR9bdTkV0PNrbigUMV2ReVnqJokbrO7uJkXgF0lnANmlVADRvfXzWRyfy/49m2GyVtLwdHTmGNDODRtMac+XkLzD0cS4Z1bZh8vrXvXa0/d0j11I3cI9+fSE5d1NTx1Zz+LVe/+OkgkZ6mZSk81wZ6bh+XoCfyH9KpqUSQSyWUiqEtjgrqAw1aiVOXHJ+OweqZYSq5BrkGX9cuJtOm5CtAFB1S1CBKJ5DJgzTy3spq5/qDz74y/95fVXCKRXGak0lOF6KMjMLdpRvoXP5K7elNViyORSCqRwkOn2Dr0Q5IW/ss//V7n0Ks/OesOT/+lCiWTVCuuwSzrVquVHj16cPDgwYs3LidS6alCFEUh5OF78elxPRn/W0ThjgNVLZJEIqkklDMpNI599leZ9cdXxJdZLpGcz7XmvQWg1+vZvXv3ZclFWS6lZ+bMmbRs2RI/Pz/8/Py44YYbWLZsmbN+5MiRKIri8urYsaPLGAcOHKBz587UqlWLl19+2aUuLi4ORVHYuHGjS/mECRPo3r17OadWPVA0GoJG3IypeX3SZi7AciKlqkWSSCSVgKF2CIGdSsLp+zSJLlW/bfoahFtrbInk2mbEiBF8+eWXlT5uuQyZa9Wqxeuvv079+vUBmDNnDrfccgvbtm2jWbNmAPTr149Zs2Y5+xgMrl4b48aNY/jw4bRv356xY8fSs2dPOnfu7Kw3mUw888wzrF692uNJVTcUjYbQ/w4lafJHJL/yCSEP3YlXmyZVLZZEIvGQomOpKDotdcb3JbRPCwI61OfYZ3+SvGgzAIYwPyypORScysU7WgYplLjhGs29BWCxWPjiiy9Yvnw57dq1w9vb1QX3nXfKDgJ6Mcql9AwePNjl/bRp05g5cyYbN250Kj1Go5GIiAi3Y2RlZdGmTRtatmxJVFQU2dmuwfkeeughZs6cydKlSxkwYEB5xHOi0Tic2aCFo+zlMaHiVqloVJbU1DI4q9xYF1ul03ibCX9+DBmzF5P2/lz8b+5BwJBe6LRle3n4BxeqiOj+YCFe7l3W/fTuszt7qWQwPqniamrJLdtVWSlSyYiukvXcEuC2ChXvWhxeKu7Ifu7npneTMd1ocO/C7GN0fx6NKlmy1UIGqLkqu8tkD+ou6+7G9NR1ON/iXhCLTkUOFVd9NRzu+pncX2u9iuu5u2sN4GVwf4+Udb3XTZ6DNbPA+T6oeTiBTcMBCG1bC2OwFyf+yMGYl0GwwfXcGDXuZbR76HpuU0kvb69kl3VP8dTV/SxWXc3Msn6tKj27d+/muuuuAyhl21ORbS+PXdbtdjvff/89+fn53HDDDc7yVatWERYWRkBAAN26dWPatGkuOTRefvllevfuTWFhIYMGDaJv374u48bFxTF27Fiee+45+vXrh0Zz7Zgd6YL8CR1/D6lvzSZ78Z94Xd8cryYBVS2WRCIpJw0f68m+13/DUVQSOyZjdwo5hzOIuqkexgAzCQt3AxDc8PIkVZRIqjsrV668LOOWW6PYtWsXPj4+GI1Gxo4dy6JFi2jatCkA/fv355tvvuGvv/7i7bffZtOmTdx0000UF5/7JTRgwADS0tI4deoUixYtKjPc9IsvvkhCQgLffPNNBaZWPVF0OvyH9ELj40Xy5I+x5RRcvJNEIrlqEEKwZ8ovOIqsKLqSr9iO0wfQ76f7OPXXYRIW7kbRaWh5b1N0xssXbl9SM6gUQ+aqnsRVRLlXeho1asT27dvJysrixx9/5L777mP16tU0bdqUu+66y9muefPmtGvXjtjYWJYsWcKQIUOcdUajkdDQULfHCA0N5cknn+Sll15yGfNawdQwjqCRt3L6o3kIi/ulbolEcvWhKAq172rH8W83I2wlW5Ybn14KQNdPh+AV4Ycp2ItQY15ViimRXHUMGTKE2bNn4+fn56IzlMXChQs9Oka5lR6DweA0ZG7Xrh2bNm3i/fff59NPPy3VNjIyktjYWOLjy++aOXHiRGbMmMGMGTPK3bcmoAvyB8CWlYc+RBo6SiTVga2PLcCWU4TGoMMQ5I0l45wNXVjH2gQ1c2/vKJGUyTWUe8vf399pr+Pv739ZjlHhNBRCCJftq/NJT0/n+PHjREZGlntcHx8fJk2axJQpU0oZUF8TnLFlSv7kV7yax4EQmBvWQh8RhNZswLuOb9XKJ5FIXCg4nknO7lMABF0fh1+zSAoPJZO5J4WQdrXo9NY1+D0mqThVYMj82muvsXDhQvbv34/ZbKZTp0688cYbNGrUyNkmLy+PZ599lsWLF5Oenk5cXBzjx4/n4Ycfdrbp3r17KU/su+66iwULFpR53PM9v8//uzIpl9Lz/PPP079/f2rXrk1ubi4LFixg1apV/Pbbb+Tl5TFlyhT+85//EBkZydGjR3n++ecJCQnhtttu80i4MWPG8O677zJ//nw6dOjg0RjVFUOdaIJH/4ecpSvJ+/cAwiHI+Plc/CLf1nHEjO2NOSakCqWUSCQAyb/v4eAHf2II9qbRE70J7lAXgABj2QmDJZKrmdWrVzNu3Djat2+PzWbjhRdeoE+fPuzdu9fpOv7444+zcuVK5s6dS1xcHH/88Qf//e9/iYqK4pZbbnGO9eCDD7rE5DOb3SevvhiZmZnMnTuXL7/8ku3bt3s0RrmUnpSUFIYPH05SUhL+/v60bNmS3377zemNtWvXLr766iuysrKIjIykR48efPvtt/j6erYqodfrmTp1KsOGDStXP43OgUZXspfusLux1VZZ7RMqbulq/Soz6qWiKPh0a4c51h+NtwltgC95/+wFhwNhd5D96zoOvriAiOHd8W5SGwB9qB8avQ69RsX1Vuc+E3Ed79Me1SV6ubdNSMwJLLM8Jc39lp1dqGTk1ro/ycLg/sJpTe5to7zM7l1dtdqyx1RzS/c3uH/QmVSyrGtUfo6puaxrFPfzVnM51rm5Tyx2zxaA7WrZzY3uPzh2FRmtKq7uuPnu9DTLvVpYhiCj+xARy277ivzUAhoMrMcNz3RAb9YD6QB4a1XCF7hxTVe71p66ntsc7u8RT93g3fe5sh63Z13dtZqal2W9sqIpnx0jJycHne7c59toNGI0lg418dtvv7m8nzVrFmFhYWzZsoWuXbsCsGHDBu677z5n4OAxY8bw6aefsnnzZhelx8vLSzWMzaWwYsUKvvzySxYvXkxISMhF7X3UKNe3m1p0RLPZzO+//+6xIABHjx4tVTZ06FCGDh1aoXGrK46CIk689L+SID8XBAGq/9ZITn25guPv/eJcujRGB9HgnVHoffVVIK1Ecm3gsNpJWpdI1qF0hEOQn1riYdllUic02msnxIak+hEcHOzyfvLkyUyZMuWi/c7G0wsKOhdioUuXLvz888+MGjWKqKgoVq1axcGDB3n//fdd+n7zzTfMnTuX8PBw+vfvz+TJky9pIeTYsWPMmjWLWbNmkZeXR2ZmJt999x3/+c9/LmGm7qmwTY/k8qHxMlFr2gNkfLeSgh2H8e3aEkeRFZ/2jfFuXIsGb47Elp1P4ZEU7IUWEl/9gd13vUX0yO6E3dwOrUkqPxJJZZK88Rjb311L3okcTMFezpXftg+3kQqP5PJQiTY96enppVZ6LtpVCCZOnEiXLl1o3ry5s/yDDz7gwQcfpFatWuh0OjQaDV988QVdunRxtrnnnnuoU6cOERER7N69m+eee44dO3awfPlyt8f77rvv+OKLL1i3bh0DBgzg/fffp3///nh7e9OkScUzFUil5yrH3CiG6En3lVFTshSv8/fGt01dhBD4tK5D3vYETs39m/S/dlN79E34t693ZQWWSGoox1cc4p/JKwhrF80Nr/bFv17Jr2Z/g/utL4mkolTm9pafn5+L0nMpPPLII+zcuZO1a9e6lH/wwQds3LiRn3/+mdjYWNasWcN///tfIiMj6dWrF1Biz3OW5s2b06BBA9q1a8fWrVud0ZYvZNiwYTz99NP8+OOPHpvGqCGVnmpIWUkKEybPJ297AlEP9iGgdW2Of7qc+MnfEX5re6Lv74FGL4OgSSSeIIRgw/O/c3J1AjF9G9D+xZvUU9VIJDWERx99lJ9//pk1a9ZQq1YtZ3lhYSHPP/88ixYtYuDAgQC0bNmS7du389ZbbzmVngu57rrr0Ov1xMfHu1V6Ro0axYwZM1i9ejXDhw/nrrvuIjCwbNtQT5DrsdWMwv3HOHTHZFLm/+1S7te+AQCnvlyOV50wGr42jNpjepH66xYS3vxZZnOWSDzEklnAydUJALR9trtUeCRXFlFJr/IcUggeeeQRFi5cyF9//UWdOnVc6q1WK1artVSaKK1Wi0PFaH7Pnj1YrVbVMDafffYZSUlJjBkzhvnz5xMZGcktt9yCEEJ17EtFKj3VDH1kMF6t6qEL8nEpFw5B9KMDafK/R4ES76/wW9tT95lbyVy7n8w1+6pCXImkWpP+TwJ7X10GQL0hzdAa5IqppOYzbtw45s6dy7x58/D19SU5OZnk5GQKC0u2cv38/OjWrRtPPfUUq1atIiEhgdmzZ/PVV185Q9QcPnyYl19+mc2bN3P06FGWLl3KHXfcQZs2bejcubPq8c1mszPbw65du2jatCnh4eF07tyZYcOGeRyNGWro9paiFWjOuDYrbtx5HW6yr4P7zOwXq1PTpoWK66eikmXaYXftp/HxIfL5kRgMNizneWie+nI5OASaF4ehBJxbCjS2b4G50b+k/R2P6YbWmLTu3TrVXGVrGTLc1vmouOW6c6e2qrg3Zxvcx3HQ6dxr+mo/Zgwqbsxmg/tz4usmzopB6348tWzpBpUM2gaVUANqmbc9xZ3LeqHGvQG8zeH+oW/Wuz+PanVqmeCtasdzE35B7T72UcnEHWrKdf6dHp/J8Q1J7PpoO97hXtzyZgca96kFpJXqZ1JxldYr7q+pO1Rd+FVc1tXcy+0qiZvV+jk8+F2s5jrvKZfiOq9T+W6r1lRBcMKZM2cCON3RzzJr1ixGjhwJwIIFC3juuee45557yMjIIDY2lmnTpjF27FigJHvDn3/+yfvvv09eXh61a9dm4MCBTJ48ucycm+5o0KABr732GtOmTWPJkiV8+eWXDB061G1Q5ItRI5Wea5HYafeT+Nz/KDqShG+7Bi51Wh8zuev3YknPwepjoTinGEt2EcXZ5/2fU0R8fjaF2RYKsywUZhWTvDeL/lPa0vK2uKqZlERyhRFCkLYvg2WPr6bgdCF1uteix5QbCA2s+LK6RFJuKjlOzyUf9hLMISIiIlSjJteuXbtUNOaKoNFoGDx4MIMHDyY1NdXjcaTSU0PwalybJosml1kX0LsNeVviOfTgexxylL6ZNXoNBn8TPgE6zAEGzAFGLAUlKwub5sYT0z6UWnUvq/gSSZVRkJLHns/+JfG3g84ynVFLtxeup+mQsz8gZGTlimArtsuM8pJKIywszOO+Uum5BvDr2ARzw2hsWflcN6YlphBvjAEmjH5GDP4mdGYdiqIQ63VuCys3tZCfn/6Hkzsz+HTgb0Q18qZlz1Ba9gyhVhMfZ1I4iaS6s2/OFheFp88bNxLTKRK9l4xzVRms+2gnm77cxy0fdqVOl/LnYZRIKhOp9FwjhN3bk2OvzCNj/2naPtHoou19w8zcM7s7lgIbR9Ylc2r1UVbPPcFvM44SGGmkZa8SBahe28uTCVciuVJoDee+Bm+f25/QJkEqrSXlQQjBkdUlSVgjmsnzKql6pNJzjeDdsg5BgzpwdNm/hLeLpla3ONX2xzalYfDREdEkkMa9a9FroBd2q4P4TVns+us0O5ansfrrE3j562jQNYLGN0VQv1MoBi95S0mqB0IIjv12kEPf7yKwaRj/+awHerO8fysTRVEY/n2/qhajelMFhsw1mRr5CddpHWjPeNc4lLK9D9Ribah5aHnq9aVU8l3nUPF+cpdwMfS2G8j4ZSNrn11Ox6/vxys6wKW+tjnT+feCMWsQDgiK86Hns22o011Bb4AWnf1p0dmfoS/W5diePHb8mc62FafZ8csJ9EYNjTsF0rJXCC16BOMbZCDQUHZiUT+V7NNlJd4UQpDw1i9YkjPPXDsFNAooJV+snN1uUxR0fmZiH+qJ4Ty3fq2aR5XWvWeUj5sklGoeWmqeJmqeRWqJYs1a915HamOqoXXTT6tyr1pVvICMKudRLZlqttWzrMv++rIjIefb3SesPf8e37vsOJte+ReAez++nsjAHLf9TIr7uelV6uwq3k/uPLHUEnZqVbMhu0fNI8yhlkXZwzHdHusyeHadPceaGuq9VRWGzFcLWVlZ/PDDDxw+fJinnnqKoKAgtm7dSnh4ONHR0R6NWSOVHknZ6Py8iOzblFO/7sIQoP6g6T+1PUtf2ERGYh7fj/2bo4NCMZi1xP+bTcfbwuk9qhaxzX2Jbe7LwMfqkppYwM4/09mxIo15Lx4ABepe50/4jTnEdauFf+0KhhN3CDJW7kFj0hN0YyM4a5AtBMIhSv5HAYcgZ0ci8VMX0eSNoWgM8haXlM1fb+4A4KEl/fAKMgIFVSuQRCJxsnPnTnr16oW/vz9Hjx7lwQcfJCgoiEWLFpGYmMhXX33l0bjyiXCNEdm3KaeW7OLA+3/R9Jm+KG6SJOalFqL30jHuz0Ec+OME6z7cQc5pK/5hBn5+7yinDuYz8vVG6Awl/cNiveg1yoteo2qTc9rCrpWn2flnOv98vJ31724lqJ4/dbrXJrxlCIpGIT3vzANGOP9xUmg5Y0B6ntuksJX8wq3zSG9Ce7coU+azsZBy955g3zPz2f3IbGIf7oV/mzjPTpakxpK8N5P89GIMPjoCanlXtTgSiXuq6SpNRZk4cSIjR45k+vTpLjm4+vfvz7BhwzweVyo91xj+zaJo9uIA9kxbhjnKn7ojO5XZLv90Eb7hZvRmHc1viWPQEBOFeXa8A3R8/eJB1v+Ywtbf06jV2Ie+D8XSuk+os69fiIHOd0TR+Y4otqWFcWxDEkdXn2DXdwfZ8uXuCsmvD7j4A8q3aS2avn0vxz7/i/3PL6DWiK7UHtZBepxJgJKt0jlD/wLg7k9vrGJpJJKLcI3a9GzatIlPP/20VHl0dDTJyckejyuVnmuQ8B6NyN51ipM/73Sr9KAoFGYVU5xrxeirR6vX4BNYsqoz/JWG3HhnJMf35TFvyiF+eO2Qi9JzPnovPfV6xlCvZwx2q4OC04UoCsTnhHLWlEA5c7yzb/ItxvPEOFeuaDWYAoxcCj4NI2nyxjBOfrOWE3PWYEnOpO6jveV2l4ScUyWrjP5RXoQ3DqhaYSQSSZmYTCZyckrb2R04cIDQ0LKfN5eCzL11jRLYpjbWrEL2vLoMh6W0IWbbYfWxFdrZ9t3hUnWKolCnlR9d747Cy1+H2efSFAmtXoNvpDc+Ed6YwnwxhZa8jKG+GEN8/p+98w6Povoa8DvbN713Uum9dwldqiBWQIqogIKKiKKiwg9EFDsqWD+KIKDSQZpIkRLp0kMLCZDee7Jlvj8WFpZkl2QJhIR5n2eeZO+9c+be2dmZM/eeYto8nVB53NiU7o6mzc0RhXP5DF4FmUDQsIcIn9SXlG0nOT5hCXkX7I/kKVE9OL35CgD1+wUjU0i3QIn7mGsRmStiq2oMGDCA6dOno9OZDNQFQSAuLo633nqLxx57zG655frFz5s3j8aNG+Pi4oKLiwvt2rVj48aN5npRFJk2bRoBAQFotVo6d+7MyZMnLWRER0fToUMHgoKCmD59ukVdaGgogiAQFRVlUT5hwoQSOUAk7gzvh2pS762HSfrrDMk7z5Wodw1wJKStL7H/JtmU4+KppEYDJ5ttKhvv7o1o9NUzGAt1/PfiAs7N3oChsHp6etyP5KcW8OfLW0k+YZm3yqg3oi+s+JxityMv1eQ5KNnySEjcv3z66aekpKTg4+NDQUEBkZGR1KxZE2dnZ2bOnGm33HLN9QcFBfHRRx9Rs2ZNABYuXMiAAQM4cuQIDRo0YPbs2Xz++ecsWLCA2rVr88EHH9CjRw+io6PNhkjjxo1j2LBhtGrVirFjx9KtWzeLjKsajYbJkyffUc4Ok8u6yfDVYMWMQ7Dllm7D9sNeV3d7Eayo6NbKb1d389KRS+dmKObuIutyLs7FanINlktHHvW8OLLwFBm5cpwdS3cx7/yYF799dpn+TztTr2VJ5cfoUPo5seW6eiLDetTWnELry1sONhKH+jVwx2fBEOI3nebMNztRO8qo/1pXwLbLt7U6W4lbbSUVteYmDqC1kbhSa+N4cuxzY7Y2NkUZkmTqCvQoNPISdlIGnZGE4+k4emlwq+GIvtDA2Q3nuRqVgJhfxNBFXSnILOLsX1fZ8sFh1M5KnvypC9Gb49j/f2dQOSkZ8ks3PMNKD3VQFlyU1sMheClzePi5AA4uOY+now4v5Y0kow4y62EBNIJ9SrKtBKHWvjeDlTAbAErR+ndjsNP13JaLvC3sOZ7dxyrDfjIbv58qzQNq0+Pi4sLu3bv5+++/OXz4MEajkebNm9O9e/c7klsupad///4Wn2fOnMm8efOIioqifv36fPnll0yZMoVBgwYBJqXI19eXX3/9lTFjxgAmv/tmzZrRuHFjAgICyMrKspA5ZswY5s2bx59//kmfPn3uZGwSZcC5YRBXl+xG7esKQ9ws6jxquqHL16PLt34z6fucH4e2pPH9e1f4bH0d5PL711hYppAT1K8h+vxizn23m9AnmuMQ5FbZ3apy7F90lu2fH8fJS0OnVxpSs5MfsQdS2PnlCfJSC9EVXnswC1jcbOOPpfNl+9Xo8m8ohUU5On55aov5c3GujgWPbmLAFx24tDeRZoNr4RluvwJUGm5+Glz91Fw9nUOT3n4VKltCoiIReLDj9AB07dqVrl27Vpg8uxe0DQYDy5YtIy8vj3bt2hETE0NiYiI9e/Y0t1Gr1URGRrJ3715z2fTp0+nRowcODg7IZDIefvhhC7mhoaGMHTuWt99+G6NRymx8t4l4sz+Otf1J3x1dsvLaD+Xmh9StyOQCI6cEcvlcIcf35lhtdz9RY0BjlG5aYpYdquyuVDkyLuey/bPjqBwU5KYU8ud7B5kTuZ41k/4l80oeTR4L49Ev2qLQyEAE7zqWaUquX0s+ddxo0C+EfrNaM3hhV17aMYDu77agbq9gHDzUrHltD//9foGoH0+V2o+kMxkcWHCGvfNOkJ1Y/vg6oU3dOLsntfwnQEJC4p7wyiuvMGfOnBLl33zzDRMmTLBbbrldWY4fP067du0oLCzEycmJVatWUb9+fbNi4+vra9He19eX2NhY8+c+ffqQkpJCdna2VQvsd999l/nz57NkyRKGDRtW3i5KlAO5RoXax5WMqHOIYmuL5YrAVn5oPTX8NWUPnf4vGGeP0hMw1mnmgKungsM7s2n6UMW+ld8N5GoFXq1CyDlbPqPmgtQ88hOy8WhQtWYHspMK+GNCFC2eDKPJo6E224pGEV2h3mo6BrWTEv8G7iSczCi1Pu5gCkd+u4hBZ2Tk8m54hjuTn16EXK1ArpajKkWu8dq7V5PHI2jyeARGvZGjy8+z/ZOjnNkYR+NB4dRoZcqqXJSr4+jy8+z++jgIoHJUsv//ztBscC06TWhsc/n5Zhp08+HXN46TnVKEi3fZPAIlJCqFB3R5a8WKFaxdu7ZEefv27fnoo4/48ssv7ZJbbqWnTp06HD16lMzMTFasWMGIESMs7G9uXeMXRbFEmVqttuly5u3tzaRJk3j//fd56qmnyttFiXLi2jyM9H/OcH5LLLUeDjWXq5yU9P2qM2vHbmPqE6d4bmYYDdqWVGoEQaDH056snJdEj6e8qFFLc+86byceLYKJ33ya9P+u4tU0wGbb3MuZnJl/gMTdl9Dn61BolWi9HRCNIoVp+TR8thn1hze5Rz23TnZiPkdXxZKTVECnF+vh7KulOF/PNz03AbBh2hH+Wx1LUZ4eR081NTv60nRgMBoXU9qG2IOprH7rIAVZOpo8FspDLzVA7Wyp6Dq4qxm2pAtpMTmonZREb73KttmmyMYu/g4880tnPm+9BsDsDu7i51Cu9AMyhYzmQ2tTs1sQP/Zaz28v7KD9iw24sDOelHNZGHVG3EOcGfBFB5x9tRz+9Rx7550EASJfK9v3ENHalPzyfFQ6zftLmb8lJO430tLScHUtmdDaxcWF1FT7Z2nLrfSoVCqzIXPLli05cOAAX331FZMnTwYgMTERf/8bN5Hk5OQSsz9lYeLEicydO5e5c+eWe1+J8uHdqzEZ/57jr3f2cHHbZTpMaoGTj4Oprp4nj3zfneNf7OaT56MZPSsc3xA1O/9Ipc9zfviFmBScx1/yZc+GTD4dH8OsP2rj4GzdgPN+wL9bba6sO86xaRuo93Ikfl1rlRq8UF+oY/cra5ApZIT0q4dX8yBy4zIwZOaSl5BDsZ8TR+ceoCC9gCZjW6LQVF4coANLLvDvovMA/LcqlpBWXiScyjTXRzzki4O7GpVWQWZ8HtvnnGLnt6fxb+CGk5eGU5uumtse/SOG5LNZeNd0pekT4XjXvKHsCoJATlIBmXG5KLU3vud+M1tSmGmy/2r8WOgdj8fFzwG1k5KiXJ1JqbnGM0u743tTJvS2L9RH5aBg+ydHcQ92ovFjEbeX7a0mrIUb//5+RVJ6JO5vHtCZnpo1a7Jp0ybGjx9vUb5x40bCw8PtlnvHd2hRFCkqKiIsLAw/Pz+2bt1Ks2bNACguLmbnzp18/PHH5Zbr5OTEe++9x7Rp00oYUEtULIIgUHvqYzgf/Id9Xx5m+ZMbCOscROuxjXHyc8S7rgdvLajDj2/H8O3EC4Q1ciDmeD5/L0vmmz1N8fMBpVrG2z+E8UrPM6z6Pomhk2zPnlQ2glxG0xl9Of7hFv6bvomUfTGEP9MKxxB3C+Undv1pitIL6L50CI4B1x/8oTgoTJ4+oihy5tfj/Pf9ITLPp9P584ehkia6/Oq7W3yOPZBKxzF1qdMtALcgB9SOlrM2+WkF/Lc6juRz2eSmFuJTywVRhJTz2YR39CP5TCaXD6aSfDaLofMjASjIKqY4T8e6t/dTkHHD20nrruLyoVRUTkpeWNsT9+CKCWMwbtdA8lIL2fXVf+SnFdH347ZoXUsuRzUbUov0Szlsm3UYo0GkyRMRt43A3fGZYH557RhXTmYT1OD+X5aVeACpoBg7VdGQeeLEiYwfP56UlBSzIfO2bdv47LPP7F7agnIqPe+88w69e/emRo0a5OTksGzZMnbs2MGmTZsQBIEJEybw4YcfUqtWLWrVqsWHH36Ig4OD3XkyRo8ezRdffMHSpUtp06ZNmfdTKgzIr2UalxlL/7ZtZUs32MhgbjPLuo2brL3XnFW3YnlJI+/sqDMYC4vx7NbQqjzrLvDg2LkZnZrV49ySw1zaEs3lQ6m0/aw/TkFuJGi86TvLC4+GsayfdRowpcaaOvQcv24NQC4XkPsY8PSRs/K7ZFq1VdA60glnmXX3YWvE5HparUtMt/5wkstsuJ5rStZp3LW0+mQASVtOcvyrf4jfGo1bPR/qPtcGnzbB6HKLOL/sPzyaBKD2c0N/0ym/2YW8+fB6eEc4s+3N7fw9bj1DvmqFo2fpdiK23OM1NlxuZYJ1o345IgadkcNLzprLOj0bSu/X6iAze9Ppr203cPczEjg2qIS8jPgCXH016IsMTGn5N1cOp7L/68M4uCrY9NV5DPobY3AP0JARX0hBRjH/fHuKf749xZCPGlCvZtmVXluuz3JECII6n9S5VpKPtcSgz7wXyhplMds+PEzm8XienFoHtaPlLe5m1/O2PVzZEqpl+9yzvDSvIQ6yIqv9UNlw47eVSd1WVnRrdTbds23ocbb6YQt7M5/bc7y76R4vk9/7mE8Sd49Ro0ZRVFTEzJkzmTFjBmBydJo3bx7Dhw+3W265rsCkpCSGDRtGnTp16NatG//++y+bNm2iR48eALz55ptMmDCBl156iZYtW3L16lW2bNlikSysPCiVSmbMmEFhYfkfnA8ilz9fxZUvVlN0Nd1uGSpXDQ1eas9D8x5DppCx+8WV5MSY5AmCQPtnQmn1RA1z+9SYPOJjTQ+SjcuzSEs2PRzWLMoqKfw+pUavuvRcOZJWH/ZGppATNWkde15exb7X1qLLLSL8idvbidToEESf73uRezWHde8evAe9voEoivyz8BKXj5vO+dMfN6bvpLo3KTzlwz1Ai0wuoHJQ8Nz3zWnY3Yf9K66w4bNz1GrnSeSzIQA07O7Dm392ZMz/tcDxJiP3M/+k3fmg7ECukDHo3boM+7QBx7el8OXgg+Rn24hvpBDoMy6YY9vTuXi0ZLh7CYn7ArGCtirIiy++yJUrV0hKSiI7O5uLFy/ekcIDIIiiWEVPR0mys7NxdXWlyR+vI3cwvWlbm7W5KzM9Nt6Y7sVMT/x3f5K+8SARs4bh1Cik1P20SusPAR+HXIvPxVmF7H11NUUZBYz7pSVeoaYItulX8vn0YZPxenhrD7740R0nFzkzxsezY8MNGc+/6cWTY71KPVZ0kXU7inVJja3WXUgqXR6Ai5N15djXybo7vUp24y1eFEUS/4nh4m//UZxTRMPXIvFsUnLWwldburyza8/xzwd7GbW0C3713ErUV/RMT9L5HP78+DTn9qbR5skaDJhSD3kZUyvYmj26FVEUyUoqwsXH9LuKP52DXy0nFCrTsf75JZa1s6Jp2NWbwbMaoHUu3dOvNG4701NOZIKRhHO5fDXkIC0f8efx9+qY624NMmg0iEzvf5C8TD1f7GiKSlP6ubN3psdWcEJrdWUJxFfeftiiusz0FObqea/132RlZeHiUvWXK9esWcPTY8YTPnLiHcvS52Zz9ttp6HQ6FIoHO//ggz36aobfqJ44t6qFY4PgCpGnctXQ7otH2PvKan4c8S9Pf96UsBYeeAQ5MHpRG34Zf5iL+9PJz3XFyUXOQ72c2bM1D1EU6f2kKz/NTqVWIy3NOlSdcP+CIODfKRz/TiZDufI+EGr2ieDM0hOse/cQI5d0RqmpGIPuMzuSWTTuEDXbeeIWoCX+dDbOXmrO/pOCRw0HRnzdnHpdvO9aJnlBEHDzu2GsdKsNzEPDQug8rGKuu4rAv5YTNdu4kxpnO4aPTC5QXGgkJ13Hkg9jeXZ62D3qoYREGXlADZkB/vjjD3777Tfi4uIoLraMmH748GG7ZErZ9qoRMpUC5xa1yhyrpCyo3R1o99VAPEMcWPzyYQquLReEtvDgzb86o9LK+eytJM6dLKRzP2dWH43gt6gIXv6fD807OPC/F6/yz8ZsDIYq+qsrJzKFjAEftSLlfDb7F5+vEJmiKJKZWADA+X1pHFxxhfhT2UTvSqH/u/WZuKYj9bv63DWFp6qiKzSidri90unuZ5q92r4smUun8u52tyQkykWFJButgrffOXPm8Oyzz+Lj48ORI0do3bo1np6eXLx4kd69e9stV1J6JCw48c1u9k/ZiFF/Yzpf4+FA/yn1KcjScflYprlc7aig/5T6HPwnnw9fTTS11cpw9ZAjlwtMm+dPRH01M8bF8+0024lLqxM+tVwIbunFyQ2Xb6RkuAOOrr3K2hk3IhMHNnChzxt1+eB4L9o+HWJeYpK4gb7YyOUT2fiE3X6WsevwQPP/xgdEOZeQuN+ZO3cuP/zwA9988w0qlYo333yTrVu38sorr5RIX1UepLulhBlDkZ6Ly/8jcddFMk9bRiu+cs1I1q+OpVF6i0eDePl/PsRdKObyBcvpR0dnOZ8tC2H8NF/WL8lk158PjrFop3H1yLiSx8LhOynMtp7I0hYpMbm823ADK6b8Zy7Tuip4cVl7Oo4MQ1aBM3rVjQsHMsjP0tOst89t2zbrccNOzMFZWvGXuM94QI2Y4+LiaN++PQBarZacHJMd5bBhw1i6dKndcqvlL1whGFHITEaa1rJaG2w8MKy5uYP9hsy2bENsGbdaczEvzZD5OnIbBqq2jlVYKKLxdqIwJZcivUBupg6Vi4bc2HR2Tz2BTCEjwymQjALL/Zp29gKS+Xe/AedQB4s6jUxHr2GeHD9UyIevxrN9fS5efgq8Iwpo28sdJ7eSl2BdF+uzQgnZ1g0Ui3TWL+dig/VlDo0NV1dr50tm407irszDvY0W7+Vt+G7EAXbMPszgjxsB2HThv/l7y0op5vKOG+ehRgMnnvukLn7hDtzqsm3r+7aFrTHcL9i8lm1kl796yKS0f/bEAV78LILWvTyvyStlzHLo8Igne9am8cHgk8z/t2TIB2v3EQCDjd+23MYtVmnFONqWPKOd76n2usEb7cikXlku96JQDV3WH+A4PX5+fqSlpRESEkJISAhRUVE0adKEmJgY7sT/qloqPRL2oXTWEPn7s1z67QgHXlkBgMrDgeJ000PWqDeWmlbEJ1CFp5+SXWsyeKi/O2qt5c1LEARe/zyQ0Lpq/l6VxdljBaTEp5N4qZBn3qpBdSWgjjP9J9fhtykn8Qp1oOsLYaAq277z3zrLyd2ZACjVAm8saYKqgoyiHwTiL5g0c4NO5JtXzvPTcXdUausP1ec+CGXP2jSy0/TkZetxdJFujRISlUnXrl1Zt24dzZs357nnnuO1117jjz/+4ODBgwwaNMhuudLyloQFgiDg0/6GB4va3YHggY3Mn3OTSveGGfdxMOeP5fN6/2jOHMotUS+XCzz5ojffbanJ9AUmd/pGHaq+W+ntaDkwgB7jItj6zQV+GHUIXbHtWZnrbzAdH7+R1PSVHxpICk856f7MjdQ3kY9721R4ANRaOc27mK7Hn6dftdlWQuKe8oDG6fnhhx+YMmUKAGPHjmXBggXUq1eP//3vf8ybN89uuZLSI1ECxxrudP9zDD4dw8m5kIpMo+T5vYMZuuFRnP1KNwxt0sGZj1bUwsFJxtdvxtmU7xOoRKWRcWKf9dg51QVBEOg5LoKR3zbj4sEMLhy2bYD3x+xLvFBnN38tND14PQJU1G3rdg96Wr2o18YFV29TrKAR00LLtM/zU00GzTtXZ9zR9LmEhIR9DBo0iOxsk+3n4sWLMRhuLAE/+eSTzJkzh1deeQWVqoxT5qUgKT0SpaJwVNPsg76EPt2c2BVHObcx5rYu0cG1tTz9mj+JscVs/jXV6oNDo5XxyGg/1v+UyPIvrnL1fEG1f8i4B5hi3GQm2jZqdnI3PagvHDEphO/81vSu9qu6IggCQ98xzSieO1Jy5rE0fIPUuPuYlrUO76j+CrlEFeEBmulZv349eXmmsBHPPvvsHXlpWUNauJawiiAIhA9uQdbJRHbOiEKhkdPi+cbUfbQmmmtJH7Ov5iK63rDzadbJmQ793Pjh/SvoikUeH+VWquxB4/wx6EXW/pjIqrkJNGjnzHuL6pTatjrgV8sJjZOC2JM5tB3oa7VdrxcC0RUZWPfNZQBcve1/o3nQadPHgz9/dmT5J3GMmhFGbpaehm2dbSrvb3wbypSnznN4ZxYtupRt+VVXbOTqxSK8A5Q4OMuleEkSFUpFXE1V5YqsW7cub7/9Nl26dEEURX777Ter0bXtTUchKT0SNlG5aWnzzeP46hPY8b99/PvNES7+HUvrl5px8e84Tq88R8PfalG3uWnZSxAEJn4ZyuVzZ5j/wVWO787izS+DcHSxtEmRyQSeei2QAaP9WDk3gbU/JJIYW4hfSCWlKL/LCIJAk95+7Fx6lZa9vYlo7mq1nYuXpOhUBIIgMOzdEGY8fYp3B5wAYG5UM1w9rafIqNPMiR5Pe3L0H+szPblZek4dzKNlFxcEAT4YdZETUTdmk+btqIdPUOkJZyUkJKzz3XffMXHiRDZs2IAgCLz77rulvkQIgiApPTejUuhRKEwPWWt5tGQ28mvZdE+14epuy2XdXqy57NrKKK6QWw+Ip7bhnq2w4R6sctHS87OupJxOY90Lm9gwfpu57siefEKbuVu0f+nzmrzV9wQHd+TyzpAYftpgmaJAft3l3gVGveLK3rWpvPXISTRaGT2GJzLgRf9SL/Yrnu4lyq5zOtl6TJaMAgerdS4q69m1NfLS82HlGawrJqm60hPsdnqrFYmnMtjwbSyv/1+DEvWO17J8N22lYcm1sqKkbLz8VbYzedtw3bZFeXJv3Sn29tGmzDL44bZopeTNb0OYPS4WgI9HnGbG4ghcPEre+pTXXJ5r11ex5ddi1EKxxTW4d3M2M1+8TEQDDRdOWoYeCK6lIu6caenyxc6nmfVrKI3bOiK3sWxrzTXdINjrum19P3tl2nKft9oPu49l57ivfUeirBq6rMMDlYaiffv2REVFASCTyTh79iw+PrePtVUeJJseiXLhXc+Tx5c/Qr/vH+b5f4fReFgDVsy5ym+fX0avu/FgC6qlNf9//lQRu7dYt6vQOMj4eEkIjz3vSfuezvz+xRXW/5h4V8dRGcgUMjoM8iV6fxan9mZSbCVac1Atjdntf+uvyaW2kSg7zTvdUEJjowtLhFS4FbnC9BA13PIM9fK7Zm91smSspSGv+rDhYgP6j/AA4O0hlzixX0ppISFhD3q9nuHDh1NUZP2F1F4kpUei3LgEOuPf3BdBJtB6fHOefD2IdT8kMPXxU/y9LJniIiOCILDwVEsW/hVCUKiS9cttG6QFhqkYNsGbV2b64+AiZ9knl0lLsC+S8f1M+4HeeAdp+OzZk0zseICtC+JJuGAZBkAQBOq1dgJgzXfVT/m718jklrMVRYW2Z50S4orx9FOgUFruV7uJlrmbIuj6qCuvzApg8b912HCxARsuNuChPqblyjHv3wg1cObILVE8JSTKiUDF5N6qasEJFQoFK1assPDeqigkpUfijhBkAo+MCeD9pfVw9lDwf1MvMff1C4iiiEIpIyRCxYBnXDn4Tz4b/7i9Jf7F04XkZ5su9PTEitfyKxutk4L/rW3Ku783pmlXD5Z/FMO7fY7w7ctn+GtZCge3ZZJytYinXruRD6q6e7bdbVRqGasvNOGbLSZD+bNHbWdev3KhiBoRpdvkhNTW8PpnQTz8lDvu3iWXyK7G3FDU2z9c+jKnhESZqSjPrSp4C+nWrRs7duyocLnV0qZH4t5Tq5kzb82vy78b05nzynmiNqTTrp8p9H+7bo58+0EqH7+RTHGhyIBn3KzKWT0/HXdfJZ9va3LbgHJVFYVKRlhjZ56f7czQ98M5sDGVbYsS+HlrGtf1m9B6Wpzd5eRkGEi5UoxnDa1toRK3JTBcTURDLT9Ov0pxoZEWnV1KXerauzmHDr3tC5z5/f8SAAiupSYgVI2uCj5sJCTuB3r37s3bb7/NiRMnaNGiBY6OljHiHnnkEbvkluupMmvWLFq1aoWzszM+Pj4MHDiQ6OhoizYjR45EEASLrW3bthZtoqOj6dChA0FBQUyfPt2iLjQ0FEEQzMZM15kwYQKdO3cuT3clKoE2vT1o2tmV9T8mmMs8vBVct22s3dC2d5azuxyZXECpEti3IY2T+6p3klKtk4JOT/jxv3XNWHyqBfP2NGbCnHD0ehHjtZldjWP1VP7uNYIgMOmrEDx8lMweH8vHL10q0SbufNG1tvYd48X/+RNWT8MTY71u31hCoiw8oDM9L774IklJSXz++ecMHTqUgQMHmrdHH33Ubrnlupvu3LmTcePGERUVxdatW9Hr9fTs2dMcTOg6vXr1IiEhwbz9+eefFvXjxo1j2LBhrFmzhnXr1rFnzx6Leo1Gw+TJk+0ckkRl07C9K5fPFlCQa3pqOzjK6PWYC2qNQGa67TXaJm0dSYsv5pnaB/hmwgU+HH6G4qJ752VUmcgVAu4+Ktr29uCTDQ1o08sdDz8lzu7ShGxF4R+qZtbymrwwNZDDu3L4Z12GRf3CT5KQK+Cl6f52yQ8IVfPNhgi6PuqGrsjIglnxJFyqfsu0EhJ3G6PRaHW7E1ufct1NN23aZPF5/vz5+Pj4cOjQITp16mQuV6vV+Pn53bq7mczMTJo1a0bjxo0JCAgoEXVxzJgxzJs3jz///JM+ffqUp4sAKGUGFDLTSbHm8i3acD3X23CdtDeTui1sZT6Xy6y4rNtwN1ZY2QdsZxR3UJTunn07zhdaBttT1VZg0Mex54iKxt1MNg5vvO9K9H8FfDAhgS2Ha6BUlt6Pbt0UCN/5897YGzNFKz88y5jJXji5yOntddxqP7KLW1qtu5LhZrUuo9D60pGjsvScV1nF1mesMousy/P1tj5z5am44eEWH1PErlVpPP2qL1q5HrCRCd6GO7i9GdityrPXPd7Gq2ZF97EsPDXCgVP7HPlsQhx16wiE11VjMIic2J/HU6M98PUUgbL9Hqy5Wu/bls3qn1JY/VMKnfo6M3F2AJqbl9Os3C5shSew5dZtv6u49fuWPa7utlznbfbDxrHK4jpvrI5Z1nlws6zfLe7oFfK6suLh4WFRvmPHDnx8fHBzcyMyMpKZM2da+NpPnz6dHj16UFBQQL9+/Xj44Yct9g8NDWXs2LG8/fbb9OrVC5lMmt6vSmz40KSYuPjdePg7uciY+a0Xg3sksO3PfLoNsG7k+dDDTmw7X5O0JD1bV+ewcE46uzblMfJVD0J6euDsYT24XHVh8WcJuHsr6P+sd2V3pVoiCAJ+Qabr6IXesTw2yo2df+aSm2Xk2H7bhs7XyUo38H+fpdKknSORfU02QNeNzgVBoH5zLY+O8mDV/6Wza0MOuzZEs/TfWqUaQEtIWOUBitNzM7eavtzK+++/b5dcu7UJURSZOHEiHTt2pGHDhuby3r17s2TJEv7++28+++wzDhw4QNeuXS387fv06UNKSgrx8fGsWrUKubzk2/S7775LTEwMS5YsKVEncX+TdNYUzdYt0DIgYERtFe0iNXz0ThodQmO4GG3dJV0uF/AJUDL0JQ9+3RmKTAZfTU1hYrt/iT9ftodSVSUjRUfUliweHeODWiMp/HeLdt2czP9v/iOb1ETTTMGQlzys7WJB4hUd63/NYubL8ezdmsOq+ek8HBHNwxHRpCXp8PJTMuZdXzZeqEuXR0xK0RuDYyt+IBIS1ZBVq1ZZbL/99hsff/wxn332GatXr7Zbrt2vHOPHj+fYsWPs3r3bovypp54y/9+wYUNatmxJSEgIGzZsYNCgQeY6tVqNt7f1t1hvb28mTZrE+++/byFT4v4mNebGEk16bB64WdZP+8KLJ7vFQ57I5tW5vDj59g8YL18F8zeHMLDFRQAM+upt43N4Zw6iETr2davsrlRbcrMNNG6t5ZedoZw5Vsi+rbn8vTaXFyZ70aaL0+0FAFkZN+wKFn+dSt+n3QB4qLczGocbyqogCCjVpuWZwDApxYhE+aiQ5a07F3HPOXLkSImy7OxsRo4cee8Mma/z8ssvs3btWrZv305QUJDNtv7+/oSEhHDu3LlyH2fixIkUFBQwd+5ce7opUQlkXL0xC/PdU7vYtdVyVsbdU079JipCayl5dGjZ45i4echZ9FcIcoXA7j+SqnXsmmP7cgmrr8VFMmCucOJji/l7bTYvDYhj8ogrDIu8xMyXE0lL0jN3bQ2eHlu2WZ6EyzreHnkVgM+WBXP+RBFpSXq2XKzLe98G4uhsOXt9ZLfJ2aP7o6789l0qz7Q/R3ZG9bRBkZC4W7i4uDB9+nTee+89u2WUS+kRRZHx48ezcuVK/v77b8LCwm67T1paGpcvX8bfv/zeEE5OTrz33nvMnDmT7Ozq7bpcXajV0YfAhm4A6AoMTHo+hbmzMzAabygpKUkG6jdRm20qykpwhIqeowL5+5cERtfdw2ttoshOq15Rm0VR5Pi+HBq3K9tsg0TZ0etEFnyRxsxXE7l6SYeji5x+Q1z53/cBfL4smDqNyh4L6cRBy2jLvoEKLl+0fi1+tTqMyH4u1G2qJTfbSGqinjcGx9k9FokHhAc4OKE1MjMzSzg/lYdyvUqOGzeOX3/9lTVr1uDs7ExioilEvqurK1qtltzcXKZNm8Zjjz2Gv78/ly5d4p133sHLy8vu6ajRo0fzxRdfsHTpUtq0aWOXDIl7y3OLOrDzh7Ps/M40u7fg22yOHy5i0nQPImqraNVew8bVefz4eQYb/8jhyVGupKcY6DXIifA6tqf/B70eiiCDP7+7Qm6mnr8WxDPo9dB7MKp7Q/JVHelJeuq3drx9Y4lyoVAKDBjuxojXPAkIVpaa0LasdB/ojEEv8smbSbz+dByCAH7BBoxGEVkpnqEe3grenmOKsj3idW9++y6N2LNFrPgpjcee97S7HxLVnwfVe2vOnDkWn0VRJCEhgV9++YVevXrZLbdcSs+8efMASgQJnD9/PiNHjkQul3P8+HEWLVpEZmYm/v7+dOnSheXLl+PsbF9IdqVSyYwZMxgyZEiZ99Eq9CgVpkksa27kRhurnLZcz+11S7eFLZd1a5nPbbml23ZZt+6Gq7VZZ/0t9tZzKSjldB5Xj3YjamI4Go1KI/B//7vC0F4J9HvOl57Dgtm8+jQL5mQC8PUH6QAkxRbx1Q8eFIrWp/3rq69S/y0lT/QL4Nl+8Wz84QpuYjYvvO5OVx/r19gGfUOrdQlZ1qPvWgtRYDRYvw4KnK3PYCW4ulqtq6lOJOWyKZlljXCVhSu6yoY7rr3u4HI7Xv9sucfbwt5+2Ppt2EPrFteXnUpe6wYb94QSruIC9H/CieAQGS8/lYAown/78vlxRiKvTrsRmNBY2mS6At753JcPJybx44fJPPWsCwqFgMEg8tk7yYTWUfPYKPfS+2Fjct7WPc3WfkobtzSbLvLWZArWY6jYcj23Ne9ry539uou83s5rU+L+5IsvvrD4LJPJ8Pb2ZsSIEbz99tt2yy2X0nM7OwqtVsvmzZvt7gzApUuXSpQNHjyYwYMH35FciXuP2klJgx5uAHy6wZn1/5fMsi/iSYgpZOkaL776JIc27VUkxhuY91UuEbXKfjnWbqhm14VQlv2UxU+fZfLf/iIGza2Jg1vVNhRNiTc9jL38q79bfnWgSWsHnhjlyu//Z5puPxJVtiSjTdtqeexZN8LrqFBcy+p+9ZKOP3/LpteT9qXAkKimPKAu6zExMXdFruQPK3FPUKplPPqiH5O+DedkVC5vvJzB6PFOPD7YkfGvuzDwCS0LfsglObHskTblcoGhY9z4bqU/8Zd1LH/jP4yGKvjrvomcTD0KpSC5qlchRr5a+qxMaVw8U4TRKOLjr+TFt71o2fFGWAe/IAWjJ3sy7GVpuUviJiSbHgBiY2M5deoURuOdzehJd1aJe0qrHm68t6gmqSlGBvZI4dvPTQbqE992QRAEnuibwunj5TNOrtNQzbQ5Ppzfl8rGT89Uac+u/FwjWifpZ1mVcHaR8/zrHrTsoGXEy9YVoKNR+YzqHUfXiPMkXNaxaUU2T3W8xIFdJs8ulVrGkLEe5Tbwl5CoTixcuJAvv/zSomz06NGEh4fTqFEjGjZsyOXLl+2WL91dJe45EY0c2bDDh+dedGLul7mcPFaMp5ec3zZ44eIq49tPym+Z36qjln5v12fPokvs/eVSxXf6HpGdrsfTV3roVTWGj3fn88UBdOlr3esurI6awFDTdzu40yUatzKlMnljRHyVVtQl7i6CWDFbVeG7777D9Sbbx02bNjF//nwWLVrEgQMHcHNz43//+5/d8qVAIBKVgkolMH6iM9s2F/Djt7l8+b0HQTUUKFXg7GKfsXi7oSGkxuWx5auzhLXyIKCedaPh+5XcLANOrqXn+5IoP9lZBnZtKeD8mWJ0OvD2UxBWS4mDg0B6qoG2kVp0OigsMOLmrbiry4qu7nKWbA/lv38LKCwwEhyhNtedOlpIg2Zld5mXkKiunD17lpYtb+RRXLNmDY888ghDhw4F4MMPP+TZZ5+1W361VHocFDqU14wDK9p7y15seaHY8r65nji1RLnNhKPW7WJseWipZdY9hJzk1jNFO8isL0flG9Wllmca1aCEbo84s/znbE5clDHlxWRizul5abKHVW8TW54+9TXxhL3pzJQjan4cFsW7P4XRqK3pzTvN27pn125DuNW65PTS97Pl7azTW1dalDY8W1SCHgcHgcQCQwlvLVvXiEaw/p3ak8zTXm8qe5OR2n88y7q8PCPbtxZy/rSO+HgD8VcMnDyhQ6+DGsFyVGqBhHgDuTmly/QLkDPpHRdc3QQCgxWEhN64PeaJ1mffbN0vDKWck5Ztr8vS07KDhoN7Chk36ArfLvejaRstMhseU7auH6veVJTTM+0m7Ll+bHmKyexcXLB1jVw/x7bOTZWlouxxqtBMT0FBAS4uN4z59+7dy6hRo8yfw8PDzeFy7EFa3pKoVLr1c6Sw0MhTna+QlWHg57UBtOts/xuv1lHOrOU1qdvCgQ/HxHB8X+7td7qPKCowYtBXoTtUJSOKIocPFPH+m5l0bpnE5Fcy2bCukOQkI8GhCiZOdmbHvz5s3uXDuq3eHDjhe+2zNwuWefDGO858+5M7c392JyBQzqTxGbzwTDp9OiXTIDieaW9lsnFt2Tyy7OHzRX68M9vk4r7wG9Oy7tIfMlk8L4O8XAPFRdK18CAjAIIoVshWHmbNmkWrVq1wdnbGx8eHgQMHEh0dbdEmNzeX8ePHExQUhFarpV69euawNtcpKiri5ZdfxsvLC0dHRx555BGuXLli89ghISEcOnQIgNTUVE6ePEnHjh3N9YmJiRbLX+WlWs70SFQdQmqq+GaZP3EXdXTu5YijswzuMN6GWivjrbmhfDjmEv979iJvzQuFlrfdrdIpLDCye1MOg8d73b6xBNu3FvLZh9nEXNATWEPOs2OcGPi4lhpBcnZsK+Tzj3M4crCYZYvzkcsEZHJwcRF4bowTXXtqCAlV0Lb9jZnIyB5akhMNFBaKrP4jn+/n5PL7r/n8/ms+/XcV894npu+luEiksNCITCbg5Hxn741yuUDfJ51xcJYREm6aAVr2QyYZaQZ+mJ2OSiXwV7T1mUgJibvBzp07GTduHK1atUKv1zNlyhR69uzJqVOncHQ0BU597bXX2L59O4sXLyY0NJQtW7bw0ksvERAQwIABAwCYMGEC69atY9myZXh6evL666/Tr18/Dh06VGqicYDhw4czbtw4Tp48yd9//03dunVp0aKFuX7v3r0WSc7Li6T0SFQ6jVpoaNRCU6EytY5yps4P58MxMcx79wrD1jVHrry/bWVyMg3oikVCa5e+JChxgxVL85j+ViYdO6t59wNXWrdTIZMJFBeLvPFqButWFdK6nYrGnZUYjFBUKLJxfSHnoo2cP5fJv8f8SpXr42e6Rl6Z5MLYl515ZlAqp0/qSE4w8N+BQvR6+GxaOufPmJYU+z3uyOjX3fHxv7NbaZfeNyJwf7HEn69npHFoTwHFxSK6YhGlSiDhio6l32dSr4maTg87XXtBkKj2VMLy1qZNmyw+z58/Hx8fHw4dOkSnTp0A2LdvHyNGjDAHKx49ejTff/89Bw8eZMCAAWRlZfHzzz/zyy+/0L17dwAWL15MjRo1+Ouvv3j44YdLPfbkyZPJz89n5cqV+Pn58fvvv1vU79mz547i9km/Golqi0Ip8OzbAaQn6YjeYntK9X7A01eBi7uccyfu3nJKdSAzw8DMKZkMesqBufM9aNpCRdwlAzu3FfJEnxQ2bSjk4y9cWbjMg0nvuDD5XRfq1FOSkW6aQezVV0taqoEjh4r5e2uh1eOo1ALzl3vy+GAHDuwp5IXHk3jx6SSzwgOw/o88nup2lROHrcspL4IgcGiP6Rpw95SjVJnscTavzGH14mxmvZFC78Yx6KVlUIlykp2dbbEVFVm31byZ67muPDxuJOTt2LEja9eu5erVq4iiyPbt2zl79qxZmTl06BA6nY6ePXua9wkICKBhw4bs3bvX6rFkMhkzZszgyJEjbNy4kXr16lnU//777zz33HNlHvOtSDM9EtWaGrU0ODjLyU2+/xUJmUwgtI6a//bl377xA4ooihyMKkavh3Yd1cyYksVvS26cr9p1FSxd6UXDxpaGx/0f1bD9r0J2bCti+ZJ8lt+0z/sfuCATIGpfMc1bqxk68sasi6OTjKmz3Hj+DQ/SUwzI5QKnjxezaVUue3cUolBAQb7I84MSefMDDx55yhmFrbwOZWDBHFNalshejrz3pa+5/OkX3KjfVMOhPQUIMrCyOiBRzajI3FuenpaBL6dOncq0adNs7iuKIhMnTqRjx44Wy0pz5szhhRdeICgoCIVCgUwm46effjLb3yQmJqJSqXB3t4xd5evrW25D5Jdeeonp06fj5XXnS//VUulppWmCRmsyhrVmvyXa8Ga4G+9Ptm6Dgs3cSaXXyWx4VdiqU9nw7LLlqaGx4dlly+vLRShd2dCK2db7YcPoztZ340HpBtC9H1XgGVSPhsrmpffF1foPKVdZ+rKbre9TpbbuTVVPYT3FgKtYk5Bg07RybmxbAoPdbjqe9ZErsf6d2trPGrY8xWzdgG3tZ/fxbqr773Aifyw/Cbjy2JO+HNwnx6gz8NGngdRr6IWDVol/oDMqucCtp8RJDT/8BElJeeTlFXPlSg7nzqQRH5/D6WN6BJmAk4PI2ROw5++atO9YA4X8xkS4r6sc32u2k7XDYMAjkHA1h60bzrJmxSkUSjn/bneihl9DOnYNMyczteUlao33PyhiyjQj7p7XojVfOwWOGujykGkzI978rw2PVDu9VW3JtOdY9si7nczrdy0NRcBxu+Tf11Tg8lZaWhoKxY3Hvlp9+6X08ePHc+zYMXbv3m1RPmfOHKKioli7di0hISHs2rWLl156CX9/f/NyVqldEcVyJ/tdvHgxkyZNkpSeW1GpVPj5+fHOQxMquysS9x2H+P6NxZXdiTKz7rdqePO+S/zx2+n7Qt6Zkyns3HZ38gVJlA0/Pz9Uqqqdf+9u4uLiYqH03I6XX36ZtWvXsmvXLoKCgszlBQUFvPPOO6xatYq+ffsC0LhxY44ePcqnn35K9+7d8fPzo7i4mIyMDIvZnuTkZNq3b1+ufldk8M5qpfRoNBpiYmIoLi5fGgMJCQkJiaqPSqVCo6lYp4hKpYKiKZd3fk0URV5++WVWrVrFjh07CAsLs6jX6XTodDpkMkuzYLlcbs6N1aJFC5RKJVu3buXJJ58EICEhgRMnTjB79mybxzcYDOzevZvGjRuXWB67U6qV0gMmxadaXfQSEhISEhL3kHHjxvHrr7+yZs0anJ2dzTY4rq6uaLVaXFxciIyM5I033kCr1RISEsLOnTtZtGgRn3/+ubntc889x+uvv46npyceHh5MmjSJRo0a2Vz+ApPy9PDDD3P69Gnc3d3JycmpsLFVO6VHQkJCQkKi2lAJLuvXgwxed0e/zvz58xk5ciQAy5Yt4+2332bo0KGkp6cTEhLCzJkzGTt2rLn9F198gUKh4Mknn6SgoIBu3bqxYMECqzF6bqZRo0ZcvHixxCzTnSKIUqY7CQkJCQmJ+4o1a9YwZNR4GvZ97Y5lFRdkc/SP/6HT6cpl01OZbNmyhcmTJzNjxgxatGhhDop4nZtTVZSHqjF6CQkJCQkJiQeGXr16AfDII49YeHtd9/4yGOzLtSYpPRISEhISEvcrD1jC0ets3779rsiVlB4JCQkJCYn7lIoMTliViIyMvCtypTQUd4Fdu3bRv39/AgICEASB1atXm+t0Oh2TJ0+mUaNGODo6EhAQwPDhw4mPj7eQUZbstPv27aNp06aEhITw448/msvbtm3Liy++aNF23rx5CILAzz//bFH+3HPPlStmgq2xAaxcuZKHH34YLy8vBEHg6NGjJWRU1bGJosi0adMICAhAq9XSuXNnTp48WSXGdis5OTlMmDCBkJAQtFot7du358CBA+Uaa3R0NB06dCAoKIjp06eby59++ml69+5t0Xbjxo0IgsB7771nUT5jxgwCAgLsHset6PV63n33XcLCwtBqtYSHhzN9+nSzG21VHltoaCiCIJTYxo0bV6XHJSFhi/z8fM6cOcOxY8csNnuRlJ67QF5eHk2aNOGbb74pUZefn8/hw4d57733OHz4MCtXruTs2bM88sgjFu0mTJjAqlWrWLZsGbt37yY3N5d+/fpZrGOOGjWK9957j6VLl/Lxxx8TFxcHQJcuXUpMDe7YsYMaNWqUWt6lS5cKGdv1+g4dOvDRRx9ZlVFVxzZ79mw+//xzvvnmGw4cOICfnx89evSwcKe8X8d2K88//zxbt27ll19+4fjx4/Ts2ZPu3btz9erVMo913LhxDBs2jDVr1rBu3Tr27NljHsfu3bvR629E6r5b47iVjz/+mO+++45vvvmG06dPM3v2bD755BO+/vprc5uqOrYDBw6QkJBg3rZu3QrAE088UaXHJWEDUay4rYqRkpJCv379cHZ2pkGDBjRr1sxisxtR4q4CiKtWrbLZZv/+/SIgxsbGiqIoipmZmaJSqRSXLVtmbnP16lVRJpOJmzZtMpcFBweLFy9eFHNzc8WWLVuKJ0+eFEVRFDdv3iwCYnx8vLmtr6+vOHfuXDEwMNBcFhcXJwLi1q1bK3xsMTExIiAeOXLEoryqjs1oNIp+fn7iRx99ZC4rLCwUXV1dxe+++65KjS0/P1+Uy+Xi+vXrLcqbNGkiTpkypUxjFUVRbNGihRgVFSUWFxeLjzzyiLhhwwZRFEUxOjpaBMR9+/aZ27Zu3Vr89ttvRZVKJebl5YmiKIpFRUWiVqsVf/zxR7vGURp9+/YVR40aZVE2aNAg8ZlnnhFFsWzf4/06tlt59dVXxYiICNFoNFarcUmYWL16tejgHii2GfLpHW/NHn1fBESdTlfZwyozQ4YMEdu3by/u379fdHR0FLds2SL+8ssvYp06dUrcu8qDNNNzH5CVlYUgCLi5uQFlz077/vvvU69ePVxdXWnbti3169cHoEOHDiiVSnbs2AHAqVOnKCgoYNSoUWRnZ3Pu3DnAZCimUqnuaJmkvFTVscXExJCYmGjRb7VaTWRkpLnfVWVser0eg8FQIoinVqtl9+7dZRorwPTp0+nRowcODg7IZDJzduXatWsTEBBgniHIycnh8OHDPPHEE0RERJhnF6KioigoKKjQWYOOHTuybds2zp49C8B///3H7t276dOnD1C27/F+HdvNFBcXs3jxYkaNGoUgCNVmXBKWCJjscSpiq2r8/ffffPHFF7Rq1QqZTEZISAjPPPMMs2fPZtasWXbLlZSeSqawsJC33nqLIUOGmOMOlDU77XPPPUdaWhopKSkW0/eOjo60atXK/PDcsWMHHTt2RK1W06FDB4vyNm3a4ODgcHcHeRNVdWzX++br62tRfnO/q8rYnJ2dadeuHTNmzCA+Ph6DwcDixYv5999/SUhIKNNYAfr06UNKSgrx8fGsWrXKIuBY586dzf39559/qF27Nt7e3kRGRlqMo0aNGkRERNg1jtKYPHkygwcPpm7duiiVSpo1a8aECRMYPHgwULbv8X4d282sXr2azMxMc6C46jIuiVIQK2irYuTl5eHj4wOAh4cHKSkpgClo4eHDh+2WKyk9lYhOp+Ppp5/GaDQyd+7c27YXS8lO6+joWGpuki5duljcqK5H1rz1Bta1a9c7GkNFUVXGdmsfS+v3rdyPY/vll18QRZHAwEDUajVz5sxhyJAhFg/BsoxVrVbj7e1d6jj27NmDTqe7p9/R8uXLWbx4Mb/++iuHDx9m4cKFfPrppyxcuNCiXVUc2838/PPP9O7du4RBcVUfl4TEderUqUN0dDQATZs25fvvv+fq1at89913+Pv72y1XUnoqCZ1Ox5NPPklMTAxbt261iC55c3bam0lOTi7xJmeNLl26cPbsWa5evcrOnTvN7n/Xb2BxcXHExMTc82nqqjo2Pz8/AIu35lv7XZXGFhERwc6dO8nNzeXy5cvs378fnU5HWFhYmcZalnHk5eVx4MABtm/fbjGOAwcOkJ6ezr59+yr8+nvjjTd46623ePrpp2nUqBHDhg3jtddeM0+HV+WxXSc2Npa//vqL559/3lxWHcYlUTqCsWK2qsaECRNISEgAYOrUqWzatIng4GDmzJnDhx9+aLdcSempBK4rPOfOneOvv/7C09PTov7m7LTXuZ6dtqx2HO3bt0etVjN37lwKCgpo0aIFAC1btiQrK4vvv/8ejUZD27ZtK25gZaCqju26MnBzv4uLi9m5c6e531VxbI6Ojvj7+5ORkcHmzZsZMGBAmcZ6OyIiIqhRowZr167l6NGj5geov78/oaGhfPbZZxQWFlb4AzQ/P99m5ueqPLbrzJ8/Hx8fH/r27Wsuqw7jkpC4maFDh5qXb5s1a8alS5c4cOAAly9f5qmnnrJbrhSc8C6Qm5vL+fPnzZ9jYmI4evQoHh4eBAQE8Pjjj3P48GHWr1+PwWAwv515eHigUqnuKDvtdbRaLW3atOHrr7+mQ4cO5mULpVJJu3bt+Prrr80P2IoaW3BwMOnp6cTFxZnjDl2fnvTz88PPz69Kj23ChAl8+OGH1KpVi1q1avHhhx/i4ODAkCFDgDvLKny3x3YrmzdvRhRF6tSpw/nz53njjTeoU6cOzz77LIIg3HasZaFLly7MnTuXmjVrWsw2REZG8vXXXxMeHk5wcPAdjeNW+vfvz8yZMwkODqZBgwYcOXKEzz//nFGjRgFU6bEBGI1G5s+fz4gRIyxyKFX1cUlYoYra41QkxcXFxMTEEBERQfPmze9c4J07lkncyvbt20s1JRsxYoTZlbu0bfv27WYZBQUF4vjx40UPDw9Rq9WK/fr1E+Pi4srVj6lTp4qAhRurKIrijBkzRECcMWNGhY5NFEVx/vz5pdZPnTq1yo/NaDSKU6dOFf38/ES1Wi126tRJPH78uIWM+3Vst7J8+XIxPDxcVKlUop+fnzhu3DgxMzPTXF+Wsd6O69fC2LFjLcp/+eUXERCfe+65Ox7HrWRnZ4uvvvqqGBwcLGo0GjE8PFycMmWKWFRUZG5TVccmijfCGkRHR5eoq8rjkijJ6tWrRUe3QLH945/e8dayX9VzWc/LyxNHjRolyuVyUS6XixcuXBBFURRffvllcdasWXbLlbKsS0hISEhI3GesWbOGoSPH0aR7BWRZL8zm4PrpVSrL+quvvsqePXv48ssv6dWrF8eOHSM8PJy1a9cydepUjhw5YpfcqjF6CQkJCQmJB5GKmJeognMbq1evZvny5bRt29bCA7F+/fpcuHDBbrmSIbOEhISEhITEfUVKSoo5Ts/N5OXl3TZMiC0kpUdCQkJCQuI+5UGNyNyqVSs2bNhg/nxd0fnxxx9p166d3XKl5S0JCQkJCYn7lYpQWKqg0jNr1ix69erFqVOn0Ov1fPXVV5w8eZJ9+/axc+dOu+VKMz0SEhISEhIS9xXt27dnz5495OfnExERwZYtW/D19WXfvn3m+GX2IM30SEhISEhI3I9U0NJUVVzeAlOerVtTyNwp0kyPhISEhISExAOBNNMjISEhISFxv1IhLut3LuJeIZPJbuudJQgCer3eLvmS0iMhISEhIXEfIvDgLW+tWrXKat3evXv5+uuvuZOYypLSIyEhISEhIXFfMGDAgBJlZ86c4e2332bdunUMHTqUGTNm2C1fsumRkJCQkJC4X7GarbGcWxUkPj6eF154gcaNG6PX6zl69CgLFy68o6S3ktIjISEhISFxn/IgBifMyspi8uTJ1KxZk5MnT7Jt2zbWrVtHw4YN71i2tLwlISEhISEhcV8we/ZsPv74Y/z8/Fi6dGmpy113gqT0SEhISEhI3I+IgPHBSjj61ltvodVqqVmzJgsXLrQap2flypV2yZeUHgkJCQkJCYn7guHDh99RQtHbISk9EhISEhIS9ysPWO6tBQsW3FX5ktIjISEhISFxn/Kgxem520jeWxISEhISEhIPBNJMj4SEhISExP1KhaShkKZ6riPN9Eg8sPz66698+eWXpdYJgsC0adPuaX9uZffu3Tz//PO0aNECtVqNIAhcunSp1LYJCQmMHDkSHx8fNBoNjRs35ueffy7RbuXKlQwePJiaNWui1WoJDQ1l6NChnDt3zq4+JiQk8O6779KuXTu8vLxwcXGhRYsW/PDDDxgMhhLtjxw5wsCBAwkICMDBwYG6desyffp08vPzLdqJosiPP/5IixYtcHFxwdPTk8jISDZs2FDuPgqCYHWrW7euud3Zs2eZNGkSLVq0wM3NDQ8PDzp06MAff/xR/hNzjZMnT/LSSy/Rrl07HB0dEQSBHTt23Ha/pKQkPD09EQThtsf/6aefEAQBJycnu/spIfGgICk9Eg8stpSeffv28fzzz9/bDt3Ctm3b+OuvvwgODqZ9+/ZW22VlZdGxY0e2bdvG7NmzWbNmDc2bN+f555/n888/t2j78ccfk5+fz5QpU9i0aRMffPABR44coXnz5pw8ebLcfTx06BCLFi2iW7duLFq0iBUrVhAZGcmLL77ICy+8YNH21KlTtG/fnkuXLvHll1+yfv16nn76aaZPn87gwYMt2k6dOpXRo0fTunVrVqxYwYIFC1Cr1fTr16/crqr79u0rsV3/3h999FFzuy1btrBhwwYee+wxfv/9d5YsWUKtWrV44oknmD59ernPDcDBgwdZvXo1Hh4edOvWrcz7jRs3Do1Gc9t2V69eZdKkSQQEBNjVP4n7nIoKTChN9JgRxDvJ3CUhcQ/Iz8/HwcGhwuX269ePEydOWJ09qWyMRiMymem95NNPP+WNN94gJiaG0NBQi3YfffQRb7/9NgcPHqRFixbm8ocffpg9e/Zw5coV3NzcAEhOTsbHx8di//j4eEJDQxk+fDg//fRTufqYkZGBk5MTSqXSonz8+PF8++23xMXFUaNGDQDeffddZs6cyfnz54mIiDC3HTNmDD/88APp6em4u7sDEBQURFhYGP/884+5XWFhIX5+fkRGRrJmzZpy9fNWnn32WRYuXMjZs2epWbMmAKmpqebZlZvp168f27dvJz09HbVaXa7j3Pwd/vHHHzzxxBNs376dzp07W91nxYoVjBw5km+//ZYRI0bw+++/8/jjj5fatn///giCgIeHB3/88Qe5ubnl6p/E/cuaNWt4Ztg4WrZ9+Y5lFRXlsG/XTHQ6HQrFg23VIs30VEPOnDnD4MGD8fX1Ra1WExwczPDhwykqKgLgxIkTDBgwAHd3dzQaDU2bNi0RAGrHjh0IgsDSpUuZMmUKAQEBuLi40L17d6Kjoy3aHjlyhH79+uHj44NarSYgIIC+ffty5coVcxtRFJk7dy5NmzZFq9Xi7u7O448/zsWLFy1kde7cmYYNG7Jr1y7at2+Pg4MDo0aNYuDAgYSEhGA0GkuMt02bNjRv3tz8+dtvv6VTp074+Pjg6OhIo0aNmD17NjqdzuI4GzZsIDY21mK54zo3L2/9999/CIJQ6nLRxo0bEQSBtWvXmsvOnTvHkCFDzOejXr16fPvtt1a/L2tcf1jejj179uDr62uh8IDpYZ2Xl8emTZvMZbcqPAABAQEEBQVx+fJlc9myZcsQBIFvvvnGou3UqVORy+Vs3boVAHd39xIKD0Dr1q0BLK6B6+1cXV0t2rq5uSGTyVCpVBZtb22n0WjM252Qk5PD77//TmRkpFnhAfDy8io1Pkjr1q3Jz88nPT0dMClHNWrUoH379hbX1KlTp3B0dGTYsGHmsrJ+h9dJT09n3LhxzJw587b5hRYvXszOnTuZO3duuY4hIfEgIyk91Yz//vuPVq1aERUVxfTp09m4cSOzZs2iqKiI4uJioqOjad++PSdPnmTOnDmsXLmS+vXrM3LkSGbPnl1C3jvvvENsbCw//fQTP/zwA+fOnaN///5me428vDx69OhBUlIS3377LVu3buXLL78kODiYnJwcs5wxY8YwYcIEunfvzurVq5k7dy4nT56kffv2JCUlWRwzISGBZ555hiFDhvDnn3/y0ksvMWrUKOLi4vj7778t2p45c4b9+/fz7LPPmssuXLjAkCFD+OWXX1i/fj3PPfccn3zyCWPGjDG3mTt3Lh06dMDPz89i2aM0mjRpQrNmzZg/f36JugULFuDj40OfPn0A04OvVatWnDhxgs8++4z169fTt29fXnnlFf73v//d7uuzi+Li4lJnIK6XHTt2zOb+Fy9eJDY2lgYNGpjLnn76acaOHcvrr7/OwYMHAfj777/54IMPeOedd+jRo4dNmX///TcKhYLatWuby0aMGIGbmxsvvvgiFy9eJCcnh/Xr1/P9998zbtw4HB0dzW1fffVVNm3axM8//0xGRgYJCQlMnDiRrKwsXnnlldufFBssW7aMvLy8Mi9fbt++HW9vb7PC6OXlxbJlyzhw4ACTJ08GTLORTzzxBMHBwXz33Xd29+2VV14hLCyM8ePH22yXnJzMhAkT+OijjwgKCrL7eBL3OyKCWDGbxDVEiWpF165dRTc3NzE5ObnU+qefflpUq9ViXFycRXnv3r1FBwcHMTMzUxRFUdy+fbsIiH369LFo99tvv4mAuG/fPlEURfHgwYMiIK5evdpqn/bt2ycC4meffWZRfvnyZVGr1YpvvvmmuSwyMlIExG3btlm01el0oq+vrzhkyBCL8jfffFNUqVRiampqqcc2GAyiTqcTFy1aJMrlcjE9Pd1c17dvXzEkJKTU/QBx6tSp5s9z5swRATE6Otpclp6eLqrVavH11183lz388MNiUFCQmJWVZSFv/PjxokajsTh+efjkk09EQIyJiSlRN2HCBFEmk4mxsbEW5cOGDRMBcfTo0Vbl6nQ6sXPnzqKLi0uJa6KwsFBs1qyZGBYWJp46dUr09fUVIyMjRb1eb7OvmzdvFmUymfjaa6+VqDt9+rRYt25di/zPr7zyimg0Gku0/e6770S1Wm1u5+HhIW7dutXmsctCmzZtRDc3N7GgoOC2bX/88UcREL/66qsSdR9//LEIiKtWrRJHjBgharVa8dixY1Zl/f777yIgbt++vdT69evXi0qlUjx+/Lgoijd+g7///nuJto899pjYvn1783kbMWKE6OjoeNvxSFQdVq9eLTo5B4hdus+64639Q++IgKjT6Sp7WJWONNNTjcjPz2fnzp08+eSTeHt7l9rm77//plu3bmY7i+uMHDmS/Pz8ErMdjzzyiMXnxo0bAxAbGwtAzZo1cXd3Z/LkyXz33XecOnWqxDHXr1+PIAg888wz6PV68+bn50eTJk1KeLO4u7vTtWtXizKFQsEzzzzDypUrycrKAsBgMPDLL78wYMAAPD09zW2PHDnCI488gqenJ3K5HKVSyfDhwzEYDJw9e9ba6bPJ0KFDUavVFtFCly5dSlFRkXmWqbCwkG3btvHoo4/i4OBgMdY+ffpQWFhIVFSUXce3xejRo1EqlQwdOpSTJ0+SlpbGt99+y/LlywHrSyyiKPLcc8/xzz//sGjRohLXhFqt5rfffiMtLY3mzZsjiiJLly5FLpdb7cvhw4d58sknadu2LbNmzbKou3TpEv3798fT05M//viDnTt3Mnv2bBYsWFBi1mX+/Pm8+uqrjB8/nr/++os///yTnj17MmDAADZv3mzPaQJM3lT//vsvQ4cOve0y2caNGxk3bhyPP/44L79c0q7ijTfeoG/fvgwePJiFCxfy9ddf06hRI7v6lZWVxZgxY5g8efJtM0mvWLGCdevW8eOPP97VcP0S9wnGCtokAGl5q1qRkZGBwWCwOd2dlpaGv79/ifLr3h9paWkW5TcrE3BjyaSgoAAw2Wfs3LmTpk2b8s4779CgQQMCAgKYOnWq2d4hKSkJURTx9fVFqVRabFFRUaSmploco7T+AYwaNYrCwkKWLVsGwObNm0lISLBY2oqLi+Ohhx7i6tWrfPXVV/zzzz8cOHDAbFNzvd/lxcPDg0ceeYRFixaZl/YWLFhA69atzctCaWlp6PV6vv766xLjvL78detYK4J69eqxatUqYmNjadiwIV5eXnz88cd89tlnAAQGBpbYRxRFnn/+eRYvXsyCBQusZjKuWbMmDz30EIWFhQwdOtTqdwMmZbNHjx7UqlWLP//8s8SS21tvvUV2djabN2/mscceo1OnTrzxxht8+eWX/N///R87d+4ETNfxuHHjeP755/n000/p1q0bvXv3ZunSpbRq1YqxY8fae6rMdlm3W9ravHkzgwYNokePHixZsqRU5UIQBEaOHGk2sL7Zlqe8TJkyBaVSyfjx48nMzCQzM9NslJyfn09mZiaiKJKbm8u4ceN4+eWXCQgIMLctLi4GIDMzk7y8PLv7IXF/YfK+kpa3KpIH24y7muHh4YFcLrcwHr0VT09PEhISSpTHx8cDJnuF8tKoUSOWLVuGKIocO3aMBQsWMH36dLRaLW+99ZbZQPSff/6xaXtyHWtvr/Xr16d169bMnz+fMWPGMH/+fAICAujZs6e5zerVq8nLy2PlypWEhISYy48ePVrucd3Ks88+y++//87WrVsJDg7mwIEDzJs3z1zv7u6OXC5n2LBhjBs3rlQZYWFhd9yP0ujduzexsbGcP38evV5P7dq1+e233wDo1KmTRdvrCs/8+fP5+eefeeaZZ6zK/emnn9iwYQOtW7fmm2++4amnnqJNmzYl2h05coTu3bsTEhLCli1bShghg+k7qF+/voXtDkCrVq0Ak4F9ZGQk0dHRFBQUmMtvpmXLluzcuZPc3Nxyx6UpLi7ml19+oUWLFjRt2tRqu82bNzNw4EAiIyNZsWKFhYH1zSQkJDBu3DiaNm3KyZMnmTRpEnPmzClXn65z3YvQz8+vRN2IESMAkzKYmZlJUlISn332mVmpvRl3d3cGDBjA6tWr7eqHhER1R1J6qhFarZbIyEh+//13Zs6cWaoC061bN1atWkV8fLxFbI9Fixbh4OBA27Zt7T6+IAg0adKEL774ggULFnD48GHA5EX00UcfcfXqVZ588km75YNJ8XjxxRfZvXs369atY+LEiRbLLdcVppsVKfFaoLtbUavV5Zr56dmzJ4GBgcyfP5/g4GA0Go1FfBkHBwe6dOnCkSNHaNy4sdWH5d1CEARq1aoFmB7wX331FU2bNrVQekRR5IUXXmD+/Pl8//33FrNkt3L8+HFeeeUVhg8fzo8//kj79u156qmnOHLkiNm1HEzKTPfu3QkKCmLr1q0WdTcTEBDAiRMnSigs15dUr89QXr8uo6KizA/8632PiorC3d29hOJUFtauXUtqaqrNmDtbtmxh4MCBdOzYkdWrV1t1UTcYDAwePBhBENi4cSNLlixh0qRJdO7cmUGDBpW7b19++SWZmZkWZUePHuW1115j2rRpREZG4uTkhEajYfv27SX2/+ijj9i5cycbN26068VF4j7mAUs4ereRlJ5qxueff07Hjh1p06YNb731FjVr1iQpKYm1a9fy/fffM3XqVNavX0+XLl14//338fDwYMmSJWzYsIHZs2eX+oZui/Xr1zN37lwGDhxIeHg4oiiycuVKMjMzzR4+HTp0YPTo0Tz77LMcPHiQTp064ejoSEJCArt376ZRo0a8+OKLZTre4MGDmThxIoMHD6aoqIiRI0da1Pfo0QOVSsXgwYN58803KSwsZN68eWRkZJSQ1ahRI1auXMm8efNo0aIFMpmMli1bWj22XC5n+PDhfP7557i4uDBo0KAS5+urr76iY8eOPPTQQ7z44ouEhoaSk5PD+fPnWbduXQnvM1ukpKSYl3yOHz8OmOxMvL298fb2JjIy0tz25ZdfpnPnznh6enLx4kXmzJnDlStXzPtf55VXXuHnn39m1KhRNGrUyMLGSK1W06xZM8Dklffkk08SFhbG3LlzUalU/PbbbzRv3pxnn33WPJMQHR1N9+7dAZg5cybnzp2ziO4cERFhti+bMGECAwcOpEePHrz22mt4eXkRFRXFrFmzqF+/Pr179wYgODiYQYMG8cMPP6BWq+nTpw9FRUUsXLiQPXv2MGPGDLtsWX7++We0Wi1DhgwptX737t0MHDgQPz8/3nnnnRKzg/Xr18fFxQUwue7/888/bNmyBT8/P15//XV27tzJc889R7Nmzcwzevn5+fz5558A5nO9c+dOUlNTcXR0NI/Z1sxTgwYNzHF9FApFqTF+FixYgFwutxn/R0JCAsl7qzpy6tQp8YknnhA9PT1FlUolBgcHiyNHjhQLCwtFURTF48ePi/379xddXV1FlUolNmnSRJw/f76FDGueIzExMSJgbn/mzBlx8ODBYkREhKjVakVXV1exdevW4oIFC0r06//+7//ENm3aiI6OjqJWqxUjIiLE4cOHiwcPHjS3iYyMFBs0aGBzfEOGDBEBsUOHDqXWr1u3TmzSpImo0WjEwMBA8Y033hA3btxYwnMmPT1dfPzxx0U3NzdREExxS6/DLd5b1zl79qzZm8iaJ1FMTIw4atQoMTAwUFQqlaK3t7fYvn178YMPPrA5rlu5/h2UtkVGRlq0HTBggOjv7y8qlUrRz89PHDlypHjp0qUSMkNCQqzKvNmT7ZlnnhEdHBzEkydPWux/3QPpiy++EEVRFOfPn29V3s3XyXX+/vtvsWfPnqKfn5+o1WrF2rVri6+//noJ77uCggLxk08+ERs3biw6OzuLHh4eYtu2bcXFixeX6ul1O+Li4kSZTCYOHz7capupU6faHMv1a2fLli2iTCYrcX2kpaWJwcHBYqtWrcSioiJRFG/8Xm53vkvDlvfWrUjeW9WP1atXi85OAWLXyJl3vHVo95bkvXUNKSKzhISEhITEfcaaNWsY9sxLtG5eun1geSgqzmF31EdSRGYk7y0JCQkJCQmJB4QHW+WTkKgEDAYDtiZYBUGwGQtHwoR0HiUeCCpiMUZa0DEjzfRISNxjIiIiSsTxuXkrTzbuBxnpPEpUe0QQjBWzSZiQZnokJO4x69atMyd/LQ1nZ+d72Juqi3QeJSQkyouk9EhI3GPsTVUgYYl0HiUeCKTlrQql2ik9hYWF5pDsEhISEhIPDiqV6rY51SQebKqV0lNYWIi3fyC5memV3RUJCQkJiXuMl5c3ly/HVS/FR4rIXKFUK6WnuLiY3Mx0ar34PjKV9Ys+++wxEjaaklY61WyIa4MWXF2z0KKNV802hLR4pLTdLVBlGe6s0+VAXmyfNZqsqPx9zPcrPfz+7dA72Jf1Waa3azcEffl/zYpC++4A9hoDinacErnOvj7KC+y7HuUF9n0BMl35jyfo7TyRBvvGJhisn0uDUc+l9H+JSd+Pt1M4jf0fuRHtWa+nUJ9LSt4lNApH8orTOZ+xhwbePfB3rmdXX6xyLTlvuSmyYz97PdpUSvv2U9uXjsXoWL799IYidh37guLi4mqk9FRMslAp4egNqpXScx2ZSoNcbeOiv+kCyD1/gtzzJ0o0ERCR21CcrqNQ3kOlx2in0mPHw0KhtE/pEVV2Kj12+hHKBDuUHhsPQVvcU6XHzlczuR1KCIBcYafSYyz/foJoryuJnUqPjXOpkKup49sVN4cgjlxZQXLeOQJdr9kKGeVkFp4lOs2UOsRR6QHA+fS9+DrVQSXX2tWfUrH/B2DHPnYqPTI7c8nJ7VR65PbdgyTunFmzZrFy5UrOnDmDVqulffv2fPzxx9SpU8fcxloqmNmzZ/PGG28A0Llz5xKpcJ566imWLVt29zp/G6ql0nM7XGo3Jv3QLoqzMhCLCwGo2/MlXHwjKrlnEhISlYFWacqhdjx+PXlF6Xg4BCMYjJxI3oSfU10clG7E55wCQEREFO/dy47EA4wpOU4FyCmfjJ07dzJu3DhatWqFXq9nypQp9OzZk1OnTpmT/SYkJFjss3HjRp577jkee+wxi/IXXnjBIsmvVluBLwt28EAqPXKNlvCRkzAUFnD263dxb9oeZ59wizai0YBBX4xCVblfkISExN0lLuMwpxI3mz9fzfyPi2l7zZ+b+PZFEGQ4qbw4lrSeOp6RqBVOpYmSkKgWbNq0yeLz/Pnz8fHx4dChQ3Tq1AkAPz8/izZr1qyhS5cuhIdbPksdHBxKtK1MHkilB8BYXASIONduRMbRvZxLycS7ZmuUWheKC7JJPLWd3JRYWj3zCYJQ+tSzKIro9YUoFNVl/VhC4sGjQJcFQOvgoXg4BiOKIlmFCURdMtn5/XVxDl3DxuPvVBeZIMfHMdyWOAmJiqUiAgtem+jJzs62yL2lVqtRq2+/jJiVZfqNeHh4lFqflJTEhg0bWLhwYYm6JUuWsHjxYnx9fenduzdTp06t1Bha5VpInjZtGoIgWGw3a3CiKDJt2jQCAgLQarV07tyZkydPWsiIjo6mQ4cOBAUFWUx5AYSGhiIIAlFRURblEyZMoHPnzuUcWukUpSVx4eePif7qHc5+/R4FVy/hEFyL/Ix4zu1cwKlNczi/cwG5KbEAxB1cR25qHNmJ50uEvD+2+kP2bXy/QvolISFROdTx6UKvem/j4RgMmGwV3LQBdA9/BQCDqGP7pbmm+51TbWTCA/uuKFEJCKJYIRuAp6cnrq6u5m3WrFm3Pb4oikycOJGOHTvSsGHDUtssXLgQZ2dnBg0aZFE+dOhQli5dyo4dO3jvvfdYsWJFiTb3mnL/ehs0aMBff/1l/nxzbpvZs2fz+eefs2DBAmrXrs0HH3xAjx49iI6ONmt248aNY9iwYbRq1YqxY8fSrVs3OnToYJah0WiYPHlyCeOniiL7zFGK0pJwa9QauaMzaVHb0OflAKBQO+HgGYhbQF0KMhNJOf8vSWd2kXRmFwAhrR8l5fx+IjoMQaF1pijX5BoviqJVoy4JCYmqiUKmplfNNzietBGlXJrNlaj6pKWllZjpuR3jx4/n2LFj7N6922qb//u//2Po0KElvOZeeOEF8/8NGzakVq1atGzZksOHD9O8eXM7RnDnlFvpUSgUpa7PiaLIl19+yZQpU8ya3MKFC/H19eXXX39lzJgxAGRmZtKsWTMaN25MQECAedrsOmPGjGHevHn8+eef9OnTx54x2cSjeUdyY8+SeXy/RblS44xneHOyEy8Qd3AtpQU2iN2/CoDj6z4xlzk4+0kKj4RENaaRb+/K7kKVwyga0BuLUMkdzGUGow6ZoEAQBAxGHUbRgEKmtrh/mmbTRasmBQ8kFWLIbPrj4uJiofTcjpdffpm1a9eya9cugoKCSm3zzz//EB0dzfLly28rr3nz5iiVSs6dO1d1lJ5z584REBCAWq2mTZs2fPjhh4SHhxMTE0NiYiI9e/Y0t1Wr1URGRrJ3716z0jN9+nR69OhBQUEB/fr14+GHH7aQHxoaytixY3n77bfp1asXMntdOa0g1zoS+vQ4EreuIOO/fQDIlGoCmzyMV0QrZHIF+uIC8jPiKcxMIj8zwfR/dir6otwS8lzcQyw+Gw16UhOP4+lbH7lCcrmUkJConugMhVzJPUGhPhdRNJCcfx6ZTInRqKfQkAuIyAUFCrkGvaEIg6hDLihRyNUU6U33Uq3SFa3SDYOxmJyiZETRiIiIUq5BodDiqPFGIVfj4RyGt1ttsnKvUFCUgYiR3IJkDEY9MpkCvb4AnaGwck9INUIURV5++WVWrVrFjh07CAsLs9r2559/pkWLFjRp0uS2ck+ePIlOp8Pf378iu1suyqX0tGnThkWLFlG7dm2SkpL44IMPaN++PSdPniQxMREAX19fi318fX2JjY01f+7Tpw8pKSlkZ2fj7e1d6nHeffdd5s+fz5IlSxg2bFh5x3RbBJkMvx6PkXliP6LBgFFXxKV//yD2wGoaD3wLlYMbLr4RJVzYRaOBjCunOL9zgbksMe5fvAOb4uZlapuREk304aUAPNR/doX3XUJCQqIy0RuLuZzzHzFZByk25KNRuADgoQ1BKVMjF5RoFS4oZCqKDHnoZHqUMjVKuZZiQz7F+jyc1N7IBDmZBVcpMuQhihr8XOohlykRkJnayYrJK0yloCiDU+nH4dpjRCYokMnkaFRuKOUajKIBpcIBldKxEs/KXaKSXNbHjRvHr7/+ypo1a3B2djY/311dXS1czrOzs/n999/57LPPSsi4cOECS5YsoU+fPnh5eXHq1Clef/11mjVrZmHScq8pl9LTu/eNad5GjRrRrl07IiIiWLhwIW3btgVKBiwqzd5FrVZbVXgAvL29mTRpEu+//z5PPfVUeboIgM4JjLddgpdRY8wEdJkZKJycSfxjCbr0VI6tm41oNOBUqz4BTwxHsAjkpUBeszFuhZ3I/HcXMkdnZILAyUML8Os6EIegcGJ3rQfAKbwe6XVLP73qzHIPCQDRzphi8iI7fjR2/s50dkZkFu20DRX05T+e3M7UbDI7oyTbE9RQZmcYGLnWvplRmd6+L8CO2JDI7IiiDSArss+Nxd5otPZE+xaMdv5w7H2w2bG0blTYd40YNDJE0cjJgwvJyDyPl19DQmv1ROvoedv9AC4cXUniRdPsulLthKOrPxp3L9QOYWgdvXDyCEatdb2x302BTrOSzqMrysXZMxS1o1upx9HrCkle8a5dY7uvqQjvrXLKmDdvHkAJB6L58+czcuRI8+dly5YhiiKDBw8uIUOlUrFt2za++uorcnNzqVGjBn379mXq1KkWtsD3mjtyQ3B0dKRRo0acO3eOgQMHApCYmGgxdZWcnFxi9qcsTJw4kblz5zJ37tw76aJN1P6BqP0DAQgb9xap2zeREbUDDAZyzxzn7Iw3ULi649GhK+6tbmimPg8PQK7RkLZzC27NHyL98D/Eb7Jcz8y9eJrU/dtxqd2YjBP78W7TDZnSzoimEhISEvcBV2L+IT3lDA1bPouHT91y7avX3Vh+0hXlkp0aQ3FhDkX5hzHoiwBwcPHDK7AxPiEtUahuuEe7+tasmAFIlIlbPZWtMXr0aEaPHl1qXY0aNe6aQ9KdcEcGM0VFRZw+fRp/f3/CwsLw8/Nj69at5vri4mJ27txJ+/btyy3bycmJ9957j5kzZ5KdnX0n3SwTgkyGd7c++Dw80KJcn5VB8p8rLC4CQRDw6twLtX8Q6Yf/wTG41k2CbrydJO1cx7kfZ5K6byuGokJEu8PvS0hISFQuel0hl6I3ExT2ULkVHoDaLQfTrPskQhr0xsHFD6NRj8bRkzb9p9Oy97vUaf0Mjq4BXDm7g4ObZnF2zyKyky8+0PdNgYpxV5dyb92gXDM9kyZNon///gQHB5OcnMwHH3xAdnY2I0aMQBAEJkyYwIcffkitWrWoVasWH374IQ4ODgwZMsSuzo0ePZovvviCpUuX0qZNG7tklBe3lu1xbtiMhBW/kHf+jLn87PTXCRk9EY3/DQv2oCHPk/j7EvLiziFTa5Gp1KhcPSnOSEGfZ6monZ03DW1AKOFDX7kn45B4sMhPN8WZUigdCG7UGzff2pXdJYkqTkFBOtnZVyjITyE/P5Xc/CRERPyD25ZoazAUY9AXoyvOo6gwC6NBh0rthMbBA5naxRzXzcHFFwcXX4LqdCXt6nHO7F/Moc0f4xXUBK/AxtRq+RQRhkEkxx4i/uJuTv09F6XWhYC6nfGr3fHB9OqqBJue6ky5lJ4rV64wePBgUlNT8fb2pm3btkRFRRESYvJgevPNNykoKOCll14iIyODNm3asGXLFrujLyqVSmbMmGG30mQvco0Wv4FDKLxyieTNa9BlpAEQ+8PneHfvh0eHrgAYCvIpSIgjsPdgijJTyYs9R/6VC6jcvfFrOwiZWkPGkT0UJJgs8IRKXMeUqN4UZCVRlJtGEekknPtHUnok7EIURbKz4zh86DtzmVLpiNbBCwcnb8Lq9ELr6EVxUQ5pSafITLtATtYVCvPTrMqUyRQ4e4biXaMZPsEtzHaSnoGNaNTpRZJjD5J06V+unt2OXKk12fo4eOAT0Ybi/EySzkcRe2QtBl0hQQ17Wj2OhERZEMSyLt5VAbKzs3F1dSV8yofINeULJiazkSzaoNORuHIxuWeOA6D2DcBYXGRWhsKeeRUHf5PiV5iSwJX1v1CUarJ2d6nbjOwzRwAQZHK0ASEY8/LLO7Q74x5+w6K9L2LXVwXvweVoj/EtcE/PY3n7qNcVosvPwr9WJ1JiD9G8z9vIlWX/DdhrXCwZMt+yTxU2ZC4uzuXc2XUkJx8DwNk5kCZNR6FUOmAwFJNRcIWs9Bgy086RnREHgItbDZzdgnF08Ueh1KJUOqDWuCKTqyguyqGoIIO84jQyk86SmXwOBxdfajZ/AmePYItji0YDWWkx5KTGkJ+TTGFeGvnZiRgNOnObGo37EFi/q9Vx6XWFHFzxLllZWbi4uJT7vNxvrFmzhuFPj6VdrefuWFaRLpcdZ75Cp9OVK05PdeTBHn0ZkSuVBDw5grzz0aTt2oLCyZncMycAcG3Q0qzwAGi8/QnsM5SLv3wBotGs8IDph12QEIdLUB3UzrY9HkpDtDMGonAPE0Ib7bTVtntsdjwr7D0f9nhhAXYpS+U/loja0R1P34YkXtjLhUN/4BveFo2TJyqt64O5LCBRJkRR5OqVvZw/vxFBkFGnzqP4B7REFEUyM2NITvqP5ORjGAzFKJQOuHmEU7vxE3j61EWpsu4mrlI74eTij5tGhn9EB/atfpv87ESO7fiaDoM+sWgryOS4edfEzfuGwbJeIaLXFSCTK5HJFdI1LFEhSEpPGREEGU616uFUqx4ACWuWkn30ALkxZ7i6cRlOobVxDKmNwsEJrW8gAT0fJ37zbyXkiAY9RdlpRPQsv/ZeFVzWi53vtct6+fep1i7rhSI1GvTk8sktpF0+ajq+TIGLdzg+Ya3Jz0ogM8Fkq6Z2dMfNry6eNZqiEqRAmg8ioihy7tw6rl7ZR1BQe0LDuqHXFRAdvZrkpGMYDEVoNO7UCH4Iz8BGODj72qV8yGQKAmt34erZ7WXeR5DJUKqrYeyd8iLZ9FQoktJjJ/4DBuPephMZO7aReWI/mSdMaS3UPgE4hdVD41UyVcd1CjMSpXxdEneNwLpdCagdSWFuGoV5aRTkJJN4bjfnohYjkyvxCGyEXKEmPzuRi4dWEPvfOoLr98LZPRi1gzsqTcVlQBZFo/SGXkmcvbCBy1f3AuCg9cbftymB/q2RK5zMbeJid3L1yj5q1xmIk5M/MTF/kRB/EIVCQ1CNDnh718fJKcCUOkJj//eYm3kVmUyBQuWAh3+DOx7bA0UFZlmXkJSeO0LjF4jCyXLtuCg5nqLk+BsFggxEI04RDci/fAFjsSlWRerpfXjXL78rv4REWRBkcrQuPmhdfHD3r4d/rYfQFeagUDsik9342RcVZHHpyGpijq0xl/mGtiG4Xk9UGhdEUSQj6Qy5GZdx86mFi6cpHP11U0CBksFIczOvkBx3kPSk0xTlZ+LiGYpvcCu8ApsgV0ixqu4VTo434qXlF6Rw4dJWLlwyhRRxcwtHqXIkJfk4gYFtycy4wNno1ahUTtSo0ZGQ0M7I5bf/rm6YhIpkpJ5DpXbGySXAXK/XFZBw5TAxx9ejUGpw9QonpEHF51SUkCgrktJzh8jVGmRKNQG9nyI3Jprs6KMYi4tuNLgWY6IwMc6s8ABc3vMH7uFNUGik6VuJu48gyFDdFO32OmqtKzVbP03KhXAcXPzIz0og7vRmkmMP4uIVRlF+BoV5aYDA5TNbAQG5QoXRqEelcSUgvD2CIEeuUFNUkEFq/HHysxNRaVzwCmyC2sGdjMTTnDvyOxePr8E7qBn+NVrj7Fp68kKJiiPArzn+vs1M7uRGHckpxzh7YQMAmZkXAfDwrENq6ikMBh316j+Jr2+TMs3MiaKRM0eXk5JwtESdo7M/7l61TPm44o+iK87HK6gJbj618AxshEKpLSlQwioVEWNHitNzA0npuUM03gEYdUWIOh2BvZ4ioOcT6HKzMBbmYyjMR1+QjyAI5F0+T/rh3Rb7Fmal4CQpPRKVjFyhJiCiIwBu3jXxCWlJctwhslLO4+ZTC6+gJ3B2Dybl8hGMogGjvhhBkJF4KYpLJ/8EQUA0GkxGrj61CG3QF3ef2uaHZ2DEQxTmpZMUu5+kuAMkXorCyTUQv+A2+AQ0RVEOLzOJ8iEIAgqFGgVqagS2p0Zge+ISozh3dh0+Po1ITj6Oh2cd6tR5FI2mpFJsDaNRX6rCc52kq4fRFZuSigbU6oS+KJ/zh3+nqCCT4HqS27lE5SEpPXeIc82GuDZoydWNS5Gp1LjUbozKxR1c3C3aZUX/Z/HZ0ScUJ9/Qe9hTCYmyoVBqCYjoaFaEruMb2tris39Ex2tvkAKiaEQms25pr3H0IKR+L4Lr9iAz/jQJcfs5f3wVF0+txyegCX7BbXB2qyHZud1lEpKOcP7cnwAkJx8nPPxhQkI7l1uOXK6iU5+PAdMSV2F+OjmZccSe/wu9Lt9iCTX+3C7z/54BjezqtyiK5KTEkJd5Fe+wVg+OoiyKkiFzBSMpPXeIIJMR2Hsw+pws0g7/g0vtxiXaxG9dYeG6DqBwqDhjUQmJykAQBLNNjyCUzbVQkMnx9GuAp18DigoySbx8kMTLB0i8fABHZ3/8Q9viE9gMheIBeajdI4qL8zgfs5mEpEPmsvCIXtSo0ZGU5BPIFWrc3SPsMjoXBAGto6dpc/Lmwql1qLVuBEd0QalyJGrbByjVTtRr/zyOrv63F3gLBTkp/LfhY/NnrYsvbn4PUPBNe2M/VbSMakK1VHpEtYhRXb4v2aiy09VaDiDg0LAhqZvXki9monRxs2iTcXRPif0KchIp8CnfsQx2ehWr08s/Nk2GfT8SRYFdu1Hkfvs2paEv+4y8GZndLuv2XSP2uNXb7bJefO/6CPYF4xPl1/vohWd4LzyMPcm+Gk3q6X2cP7Gai2f+xKNWS7zrtUfrceMheS9DBoD9QRTvJbaCql6nuCCbE39/T1GeKZiqTKGmVqcRuPjX4tS/K0g5HwVAeIehaJw8yU2NJT3uP5RaFwIb98TBzfQd6DW3v7aEgDBq1jOl2jGKIldOmmZ5Qvs+h8w3mLxyjE2Ug0FXxIllNxSe2oPfQO3pT2m3GUOx5CUocXuqpdJTGbg0bUn6ji2kb9+C74AnLepcW3cga7+l4uPZQVrXlpAA02ypa416uNaoR3FuBqlnokzbqT04+YXjVa89bmGNkSGlcSkvuelXuHBguVnhUTm4Ed5+MM6+4cRE/U7qhQOEtnmCy4fXcXHPEsA0G+foWYP8jHhO/vkFgY164t+wG1B2hbo4L5Oz676hODcdpZM7Ws8bHl2iaESfn4PS8fZvLPlJceb/az7+ClrP8s8UVXmk5a0KRVJ6Kgi5RovS05usQ1FkHYoi6NmXcAgzRRd1b9eJ3FPHMOTmoPYLJOixkajcyh+RWUKiuqNyciegZW/8mvUg69IJUk7v4dL2xSiinPCq1Qa/hl1QqCTvn9tRlJ/FyR1zKcq9kRNL4+xN/U6jkbu6EbNvOakxhwjvMBivsBa4BzUgKyEatZMnjl7ByGRyjAY9l49s4Mp/G3ELqo9KG1jm4+clXaI4Nx0AXW4GqSd249O0C7r8bM6u+ApdbgYNRvwP5W2W+Z0CaxLx6EsIciWOfiEWdaLBQMK+DaQc3YFX4474tZVc4SVuj6T0VCDODZpQePmS6YPxxpy6ytObiDf/Z/4sL0JCQsIGMrkC94imuEc0pSAjkdRTe0k+9Q+GonxC2j1e2d277zAa9BQXZJKbfoW44xsoyssw12mcvPCv/RDeoa2RyeSc27eMtEuHiWg/BM+w5gAotc54hbe0kCmTK/Cp2YakM7sw6Mp303IPb4qDVw2KslM5v+l7ZCoN+oJczq+dhy73Wt/KMPsgCAJOgTVLlOvysrm49nuKMpIBSD+9H6+mncvVxyqDNNNToUhKTwXi0rwNKZtMQd4EtRTWX0KiItC6+1GjwyDkcjUpZ/bgVbstRr2OouwUXIPqodQ+uE4B+uICTmz/loKsxBJ1nsHN8K/1EM6eN5J7psefJC3mEBEdn8EztNlt5V/PiC4ay29kpnbxROXkjtrdl/i9a9EX5FKUkWSuj9u+FJeQ+mjcfXH0DUWmvBEMURRFDLpiBASLclOdkbi/fkVfkEfNx1+lMD2Ry3/9ir6wPBZDVQSRClJ67lxEdUFSeiqQmzO7y1SS0iMhUZH41n+I7PhoTq/7wlzmVas1oR2eqsReVQ5Gg44L+5aTHnfUXObkEYyLT038a3VEpS2ZZVwURdKuGSiXReEBk72VaV87M9zLZIT3GsXppbMw6nX4te5N4v5NgEjO5WhyLkcDINc4onb1wqjXYSjMRZefaw7s6larKSEPDzfLTD68ndzL5wh/ZDQOPkFc2fE7Dn6haNy87eqjxIOFpPRUIKLhxttQ7DezARAUCoJGvoQ2OLSSeiUhUT1Qap2p03scaef2o/UI4OqhPynKTUcURYz6YuTK6v+ikZsax7ndiyjOzzSX+dXsSFjzgbfdN+nCXlLjDhPa+rEyH+96KAJ7lR4AtZs3Dr6hJB/+C9ewRjj6h1GYnoChyOSD5RrWiKyY4+Rfm6nxbtKZtFP7MF5bUlM6upllpZ2MIjFqIz4tuuEcXIf8pDgKki8DcObX2Xb38f5FlFzWKxhJ6alABLkchas7+qwb6+miXs+VhfOo9d7HNvaUkJAoC3KFCp96pqCJXrVac2nPco7++i4GXSHuoU0J6zTEZpDEqszVE39x5dgm82e/up0IbdS/zAEdky8dxCOoET61y57z706Wt24mpPtQEv7dgL4gj7yEi2bZGs8AsmKOW7Q1FOVj1BXhHFKPoMjHULl4AJBz+SxXtv+GR4O2KJ1c+e+bieZ91G4+GG5K8yMhYQ1J6alg3Ns+RNqOzdScMgtRFClOSkDhXHKqWUJC4s7wrNkKo0GPriCbjNjjZFw6So1Wj6Aqgyt0VSP10mGzwhPS8lG8w1siV6jLHF9JX1xAfsZVXH1KGgXbQpCbHhEG3Z0pFFd3rybn8hl8mnXFJbgu8fvWIRoNKB2c0dZri2toA7IunST9dBTpZ/YD4NWwPYbiQq7uWolng/bkxV9ArnHENbwxMet+sJDv1bgjyGRc3fHHHfXzvuQOZtkqVEY14Y6iOc2aNQtBEJgwYYK5bOTIkaZIrTdtbdu2tdgvOjqaDh06EBQUxPTp0y3qQkNDEQSBqKgoi/IJEybQuXPnO+nuvUEQEI1GRFFEEATUfgHIHZ0qu1cSEtUOQRDwqduewGa90DibQkBc2rOMrCtnbsr+XXUxGPSc3vYd//46iQt7fwWgYe/X8KvdAbmi7Et5BTmpnP7nJ5DJ8Aoumy2PuQ/FpiWojMsnyE26VK59AYz6YtKjD5IdexLRaCDp0FYcfENoOHI63k06IxqN5MSdImbjz6SfvnHPdw1rRMp/uzi77FNSj+0mduti8pMvYyjMoyD1aonjZJ47Uj0VHriRiuJONsmS2YzdMz0HDhzghx9+oHHjkmkXevXqxfz5882fVSpL6/tx48YxbNgwWrVqxdixY+nWrRsdOnQw12s0GiZPnszOnTvt7V6lIdM6IOp0GIuKLAybJSQk7h7hnYeTcek/kk7t4txfP6Jx88W3fic8I1oiF6rWhPbFqN9Iubi/RHn9HuNwdC97rBwAva6Q/zZ/ilLjRJ12w3F0C6A8C1UqB1e8IlqTemE/GXHHqNXnRZwDapVoZzToMRQVmOPuFGQkkXJqN5kx/6EvzDW3qxH5hCkooSAQ0KYvRoMOBIHcK+dQODiTHXuKpENbyYo5joN/GDW6PY3SyY2ru1ZRkHwFgMR9G0oc36Arokb3p7n817JynR+JBw+77ga5ubkMHTqUH3/8kQ8++KBEvVqtxs/Pz+r+mZmZNGvWjMaNGxMQEEBWVpZF/ZgxY5g3bx5//vknffpUrYBThrwcBIVCUngkJO4hMrkCz4gWeIQ3JzfpIkkndxK79w/ij26hXu+XUTvameekEihtKUnt5IWzd1iZ9i/ITiYr6Rz5WQkkXTTNnoQ1G4h7QP1y90WQyQlv9xQObn7EHVoLpeTm0hXkcHzJVNNxuo0k4+IRMi8dQ6l1QesZSM7VaHPbyzt/L/U4wV0H4xrWEEffEPxb9zYZTituHKvu0MkUpF7l7LLPTAUyGS6h9fFp1gW1mw8KrSOG4kIuU82UHhHJkLmCsUvpGTduHH379qV79+6lKj07duzAx8cHNzc3IiMjmTlzJj4+NxJNTZ8+nR49elBQUEC/fv14+OGHLfYPDQ1l7NixvP322/Tq1QuZrOrkVNFlZqB0l6ItS0hUBoIg4OwXgbNfBAWZSZxa+zkZccfxq9epsrt2W/TF+ZzaOtci5o5HcFP86nTE0SOoTDJ0Rfmc+Psb9MX5yORKZAoVQfW64x7Q4I765uQVCsC5Dd+idvFC4+aLS1Ad8pLjyEuJNbeL2bYArWcgNdoNwrNOG/JTr1goPaUiyHDwsYy2LAgy84KMvjCf7IsnSI8+cKOB0Yh30844+pdNEay6SFnWK5pyKz3Lli3j8OHDHDhwoNT63r1788QTTxASEkJMTAzvvfceXbt25dChQ6ivBezr06cPKSkpZGdn4+1demyFd999l/nz57NkyRKGDRtW3m5WGsVJCah9H8D8MBIS9xlaN18cvYPJSbp43yo9+ZmJJJ3bQ+bVMxTn3/D6FGRKBJmMrIQzZCWcKbHfdZul635borncgIBA837vodI4gSArs3eXLZy8QwjrNoKU03vJjT9HUXYqWXGnUDq6onRwIazrcNQuXsiUajSu3uQkXODi1p/JvhKNysUTz7pt0HgFcHnHb+jzswlo/wjejSOt9k2Xn03GhSNkx54hL/4CokGPg18o3k074xrRGJWzO0qn6mewLnH3KZfSc/nyZV599VW2bNmCxsryzVNP3QgU1rBhQ1q2bElISAgbNmxg0KBB5jq1Wm1V4QHw9vZm0qRJvP/++xYyy4JRBahu28wCwWCfJizelHlbFEWKkhJwqFUH0dbklJ2G9HI7M5gbynkuAHSO9t0oFfn2nUd15p1kuS8fege7DoXe0b79BDu8fe3Nem5vdnZ7+giA0Y7vzc5nsGAo/46a0HAyj/9LnjflfvgLdoytrOffqCsiYc8G0o7tQeHgjFtEE3R5WcjkCjQe/uaggDf1ptR/jYqS43LwD0Hn747OyrGL3MrWxxJ9DgxGKSZA/DmUXt4offzwf2ak+fh6oCA2hlPfzQJA5eeP79PDcGzSCEFu+qGGdJ5KwaUYNEE1yFWYzAFkDo7oUlMpunKZwthLFF68QHFiIsjlaGvWwqNXb5yaNzd7wYpAEVB0i3GusbCazmZIMz0VSrmUnkOHDpGcnEyLFi3MZQaDgV27dvHNN99QVFSEXG75FPL39yckJIRz586Vu3MTJ05k7ty5zJ07t9z7VhairhiZlIJCQuK+wCEglNR//0KXlYbKzauyuwNAftJl4jYtRpebhX/H/ng26YjCYJ+xtaECTQcLE66iS0vGsVY9DAUFGPJykTs5k757G0Xxlym8Ysp4LqhU6FJT0KWmmPctTk4i7gvLWGQ1Xn4dQSZDlN944OafjSZ17RoMOdl49u1Pyh+/Weyj8PBEW7MmbpFdcKhXH7mDnW8oEhJWKNcvrVu3bhw/bhlI6tlnn6Vu3bpMnjy5hMIDkJaWxuXLl/H3L/+Sj5OTE++99x7Tpk2jf//+5d7/nmMwIBoMCAplZfdEQkIC0AaYbEXyr16qdKVHl5dN2vG9pBzchsYzgLAhz6F2v2breGex/+6Y3DMniF/6f6YPcjkYLDuk8vbFq/+jaIJqoPT2xZCbA9fCcuSdP0vCz9+Z2/oOHo5Tw8YlZqsMBQUk/HQjvs51hUfu5IznIwNwqFUbuaOd06nVGWmmp0Ipl9Lj7OxMw4YNLcocHR3x9PSkYcOG5ObmMm3aNB577DH8/f25dOkS77zzDl5eXjz66KN2dXD06NF88cUXLF26lDZt2tgl415ReNUUDl3pJeWAkZC4H1BoHVF7+JIffwm3Bi1vv8NdIufSaWI3/gKiEY+G7fB/6BFk8vvHlT5z/+4bH25SeFS+Afj0GYhDaE2T2cA15FotYFrSv67wKFzdCJn0DoKi5LhEvZ7M7dsAcGrREq9HBlKclIixoACH2nXMy18StyACxgoILCh5b5mp0F+dXC7n+PHjLFq0iMzMTPz9/enSpQvLly/H2dm+TMhKpZIZM2YwZMiQiuzqXUGXkQaAJqBGJfdEQkLiOtrAUPKvxlTa8RP3bSJ5/xacatSixsNDUTpWfoR2Y1ERudEnkDs4UnD5EvkXzuLT9zEyD+1Dptai9vHFqV5jHCNq25QjCAK+g4eTtHQRAaPGlKrwGAsLSVryC/nRZ3Bq3gLvQY8jUyrRhlas55UhP79C5UlUT+5Y6dmxY4f5f61Wy+bNm+9I3qVLl0qUDR48mMGDB9+R3HuBIT8fQamUbHokJO4jHALCyDy+H0NRAXK19p4eO/W/f0jevwW/dn3wbtUVoZQ4N/eS3MvnSFq7jfwLZy3Kneo1wqV5G9xad7Cyp3VU1xxSMvfswr1zN5TuHuY6XXoaCb/8jC49A//nXsChTt07G4ANrn737V2TXXlILusVzf0zv1oNMORkI1NJCo+ExP2EQ2AoIJIffwnnsHp3JMtQWEBu3FmMxYWI15cdrnkvCYJww+NLMLVN2LMOr6ad8Gnd/Y6OWxGkn4ji6lZLw2GPyB54Rva8o+Ulla8/cmcXsvfvI/fEMUJef4vi5CSSf1+KLj0NhZsbgS+NQx1QvmjS5cWr/wCSfll4V48hUfWRlJ4KQjQYyPjnbxzrlD/qqYSExN1DeS1Ld2FyvN1KT1F6Eon/rCf30hlEQ9mtjp1D6+HfsfKdMPT5OWaFJ+KtDzAU5KPyqBjDbkEmo8bLEymIuUjyiuXEfPA+iCIyjRbvRx7DqVWLezL77VDL9lJclUWa6alQJKWngkjdtBYAmVpKPyEhcT+R8d9eEAScI+yPSpxzKZqcCydxb9QW77Y9UDq5WixVideSOsr0YFqSwDQDdC3pcmWiL8zj/NKvUDg4ETpwNDKtA3JtxbqCK5xdcG7cFKWbG3lnTmMsLMClZWvUAUEWLusS5aSi0lBISo8ZSempIPIvnEPh4orPwCcquysSEhLXMBQVkBK1FbeGrdF4Wc8HeDs8Grcjccdq1J5+qJxL5vEyKTZCaampKhXRaCR+2woMBXnUGvYGKlcPiu7i8TTBoWiCQ+/iESQk7oz77CdaNSmMv0JxciLe/QZJNj0SEvcR2Wf/w1CQj0/7h2/f2AYyhRKlszsZJ/7FqCuuoN7dfbLPHyPr7FH8uzyKytXj9jtI3HeIorFCNgkT0kxPBZDz32GQyyV7HgmJ+4y8yxfR+AaidHazW4ahqIDsc8fR5+cg5mSiL8hFpawaCkRm9FHkWifc6jSr7K5ISNwXSEpPBaANDSdzzw7yL5zFsfadeYdISEhUDDkXT5N99hheLSPLva/RoCfvwhkyzxwi58JJRIMBx+CaeLfuhsqlaig8YMrxZSjIJW79QkIHPl/Z3ZEoN2LF2PRIwQnNSEpPBeBUryGCQkFxSpKk9EhIVDK6vGzS9m8n7dBOHEPr4Nmy8233MRQXUZyeTFFGMvmXL5iWxQoL0HgH4NO+F251m9/RbFFlkH3hJLmx0QB4NnuoknsjYTeS91aFUi2VHqNcBEX5vmSZnQ4W5ozdcjkGQYfe4fbHtSd7M9ifCdue/fLttPlU2ZktXW6ndaU6s/z76OxM76N3tPPGIdixn2jnBWnvvc3eodlhKmBPtnQAmbW04Tehz84idv7HiAYDnj374v5QV4xGgVu7WZQYT9bhKIqSEylOTcaQk22uU7p74NKyHe51WqLxvvFDKMtQ9XbeUXVO9u2nd7P+4776q8mjVFO/NoZONcjWXGur1dt1LLnKPrsQQWbffmI5fwNifqFdx5F4sKiWSk9loK1Vk5x9UTi1aIHCvaR3h4SExN0n7+xpjIWFhL31PxROlqlvRFGk4NJ50vdsJ//cGRQurmiCQnFt1hqVlw9KT29UXj7INaaozYqCyhhBxeEz/jkKjp0i4/e1pP+2BnVEKOm//I66bhi+k58vkRBU4j6kwnJvSYbM15GUngrCY+BArsz6iOw9e/Do16+yuyMh8UAidzBN4+VFn8KlWSsEmQzRYCD39HHS9/xNUfwVVL7++A0agnPDZtUy0aUuJQ1BoUDh6Y5Lt4fI23+EvL0H0NQKB6DoTAz5h07i2KpRJfdUokxIy1sViqT0VBAKd3cEpZL802ckpUdCopJwrNsA5yYtSF61nIx//kbtH0jRlcvoMtJwCK9F4LDROETUqfSAgXeTxI/mYMzLR9OgLs4PtcGQmwtA2sLl5jZFZ2MlpUfigURSeioIQRDwfPRRUpcuRZeWhtLTs7K7JCHxwCHIZPg9MRTXth3IitqDPicbbXAY/k8ORxNQo7K7d9fRZ2VjzDNlGy88eYbCk2dKtFHXDcexbeN73TUJOxARb+R4uxM5kveWGUnpqUA0Eabp4+KEBEnpkZCoRLQ1QtHWCAXsdwCobIrir6L08rIIeKrLzCDv+DGQCYg6HUXZyYjFOvSpaWAU0SWngEwGRiMOrZphLCyg8LhJ8XEf+jgZS/6g6MxFFL4Vk3dLQqKqISk9FUjRxRgA1MHBldwTCQmJqs6VOZ8BEDbtQ3KPHSX74H6KLseCKCIolSAIiMXFyF1dUAb4Ind2QtukPtpG9VAHBwFQcCoaQ0o6zl06IHe+4bZozM5F7lSx+bck7gIiFWSPI830XEdSeioQQ24OgkqFwsWlsrsiISFRTbj0wVREvQ65mxtKH18EhQJdcjJisSkdhiErG0NWNk6d2uLWt4fFvtr6ddBOe8P8OXjux6AqRlBKt/4qg5RwtEK5I5/FWbNmIQgCEyZMMJeJosi0adMICAhAq9XSuXNnTp48abFfdHQ0HTp0ICgoiOnTp1vUhYaGIggCUVFRFuUTJkygc+fOd9Ldu4poMJC+dp35RiQhISFhLwWxl8z/i3odcldXMBjQZ2RQfPUK4k35v2TOjjh3ewj3Qbd3oBBkMknhkXigsfvqP3DgAD/88AONG1saxM2ePZvPP/+cBQsWULt2bT744AN69OhBdHQ0zs6muBnjxo1j2LBhtGrVirFjx9KtWzc6dOhglqHRaJg8eTI7d+60t3v3nLyjRwFw6dixcjsiISFRpck5cojk5UssysTiYowFpsBBcicntBG10IRHoOnQELmTndE2JaoAIlREslAp4agZu5Se3Nxchg4dyo8//sgHH3xgLhdFkS+//JIpU6YwaNAgABYuXIivry+//vorY8aMASAzM5NmzZrRuHFjAgICyMrKspA/ZswY5s2bx59//kmfPn3sHds9Je/YcZT+/ng8OrCyuyIhIVGFyT162OKzY8PGqP0DUXh6oPTyQR0QaA4sqHeqolbaEhKVhF3LW+PGjaNv3750797dojwmJobExER69uxpLlOr1URGRrJ3715z2fTp0+nRowcODg7IZDIefvhhCzmhoaGMHTuWt99+G2MViSQpd3HGkJODPi2tsrsiISFRhfEe9ARukV1N/z/6BH7PjMS9Ww+cm7ZAE1RDiqT8ICGa3M0rYpMwUe5fz7Jlyzh8+DCzZs0qUZeYmAiAr6+vRbmvr6+5DqBPnz6kpKQQHx/PqlWrkJcSFfXdd98lJiaGJUuWlKi7H3F9qBMytZqrn39B4aXYyu6OhIREFUAURfIunUc03JixUbi6oXAzpbJRh4RWUs8k7htEY8VsEkA5l7cuX77Mq6++ypYtW9BoNFbb3RrtVBTFEmVqtRpvb2+rMry9vZk0aRLvv/8+Tz31VHm6CSqjaSsHRr2dEVq1puPInTz+v737Dm+qegM4/s1qmu69aOlg71VkykaGMkQFQQEVBwoqIgKiDEGGW/QnuAARRFDZQ5ZAGYJsZZZdoJvSvZI25/dHNCV00ARoaTmf58lDe++5N+ekIffNueecF/9Jr5Pw5XzivvsW//Ej0Pj7FnlIjottUbc2VmNbHW24iSlsHO2ld7XtOE2Gbcfprln/WubrbHsuo3spMl4WQamx4RaEjV/MjPk29gKUZYJTvW11VOTadpwqy7bjbEkwm+9duveIEILEz38k++gpAKp/+jy66v7m/efHLwfAraMWhSK52PM421ufqVdlYwJQWxltfG9Zm3A0T5vLJZueSbqfWPVpcOjQIRISEmjWrBlqtRq1Wk1ERARffPEFarXa3MNzY68OQEJCQqHen9IYPXo02dnZzJkzx+pjy4NSZ4/Pq8+hcnYkZe2W8q6OJEn3mPy0DITRSNI3y8wBj7Z6VeyrFWRzzzhx2fxzZU6XIZVOedzemjlzJs2bN8fZ2RkfHx/69u1LZGSkRRmFQlHk46OPPjKXyc3N5dVXX8XLywtHR0d69+7N1atX78jrYiurgp7OnTtz7Ngxjh49an6Eh4fz1FNPcfToUcLCwvDz82PLloILvl6vJyIigtatW1tdOScnJyZOnMj06dNJS0uz+vjyoNTZ49C0IbnnLpV3VSRJukcY4q6RMPtHrr76PtFvzCRz71EAqn7/Pn4TXzEHN+mHznHx7YUA+A17qLjTSdJdFRERwYgRI9i3bx9btmwhLy+Phx56iMzMTHOZ2NhYi8f8+fNRKBQ89thj5jKjRo1i5cqVLF26lN27d5ORkcEjjzxCfn75DcC36iaGs7Mz9evXt9jm6OiIp6enefuoUaOYMWMGNWrUoEaNGsyYMQMHBwcGDRpkUwVffPFFPvvsM37++WdatGhh0znKWn5qGko5jVSS7ntCbyBl1R+krd9h3pafko7SUYcxM5vosR/hNfxJnJt7kXM5gSufrgKg5pyX0QbKVBHSnZqyburpSUtLQ60uuOxrtVq0Wm2h4hs3brT4fcGCBfj4+HDo0CHatWsHgJ+fn0WZ1atX07FjR8LCTOmYUlNTmTdvHosWLTJPelq8eDFBQUFs3bq10ASmsnLHpwGMHTuWUaNG8corrxAeHk50dDSbN282r9FjLY1Gw7Rp08jJybnDNb177AL9McQmkJ+eeevCkiRVWvroeIuAR1PFF78pI6ny0VgA8q+nEj/jG04/N5sLE35EoVZR7cNnZcAj4ePjQzaZ5Iu82z5XBqkoUeHp6Ymrq6v5UdSEpKL8t6yMh4dHkfvj4+NZv349w4YNM287dOgQBoPBYjZ3QEAA9evXt5jNXdZue2nOHTt2WPyuUCiYMmUKU6ZMsel8ly5dKrRt4MCBDBw40KbzlQddk/ok/7oO/aXL6BrUKe/qSJJUxgwxCSidHArlt3Jq3xxtqCkvln2Dmhii47GvV53MXYcACJs+BF2YX6HzSfefli1bosORGC4RRPXbOtdlzlCVGvyd+pfF9qJ6eW4mhGD06NG0bdu20J2e/yxcuBBnZ2fz+nxgGttrZ2eHu7u7RdmbZ3OXNbngw12gdnNF5e5G0pJV6K/Glnd1JEkqQ8ZcPTFvf0rse1+hcreczqgJ8DH/7PFUL4w5uWTuPoxjvaqETn1KBjySmUKh4Nuf53KZsxhv4xZXukghmWvsT9iJi4uLxaM0Qc/IkSP5559/+Pnnn4stM3/+fJ566qkSZ3X/p6jZ3GVJBj13gUKtwm/cKyh19sR9NJecsxfLu0qSJJUBo97AlRcnAWBfK5Sk73+12J/w8XyMWaZb9Rp/bxwa1wEh8O7/IE6Nw8q8vtK97fHHH0cgSCDa5nNEcQZ/gktcIqY4r776KmvWrGH79u0EBgYWWWbXrl1ERkby/PPPW2z38/NDr9eTnGy55IKts7nvFBn03CVqDzf83noZO39f4j+aS9qWneVdJUmS7rLcyIIvOJl7Dptnad0o+1jB1F9NoKlnJ+3PU3e9blLFo1ar+WD2TKI4g7AhU3qOyCKBq2w/s/HWhW8ghGDkyJGsWLGCbdu2ERoaWmzZefPm0axZMxo1amSxvVmzZmg0GovZ3LGxsRw/ftym2dx3igx67iKlzh7fsS/j9OADJP+6juTf1gGgj44jLymZ/IwsjLkyK7skVRZqT7dblrk2x3SbQBiNpG/ZA4BD/ap3s1pSBfbcc8+RTQbJJFp97GXO4ok/NWrUsOq4ESNGsHjxYpYsWYKzszNxcXHExcWR/W/S2/+kpaXx66+/FurlAXB1dWXYsGG8+eab/PHHHxw5coSnn36aBg0aFEphVZZueyCzVDKFUonrw13I2LWftM070YYFk/j1oiLLBnw0AbW7jUsaS5JU7jQBPgR88CYx4z4ptM994MMk/7wegPQd+8m/nkp+smn9Mbe29cq0nlLF4eTkRCDViOIMHvjc+oB/GYSeaC6ye+8uq59z7ty5AHTo0MFi+4IFC3jmmWfMvy9duhQhRLETjT777DPUajX9+/cnOzubzp0788MPPxSZeqqsKIQtfWb3qLS0NFxdXQmaPRWl7tYDqizYmoZCfeuXLy8lleix00ssowkKwHfMCygdHYotY3MaChvYmoZCaWPHVVmmobhu4/WltCkGbibTUNykgqShECrb01BkHT5J4uwfTRuVSjAacWzTFKf2zYmf8Y3FMR5D+lLl8QY21VGmoSiQl5nL/kdnk5qaiouLi03Pea+Kj48nwC+AB+iMk6J0X4wvidNcI45kYX0PUWUme3rKgNrNleBvP8QQn0jMxIIlut2e6IlLt/blWDNJku4Gh6Z18RnzHAkfzwejKcgQefkoHQoSvykd7HHu/iDOnVsCck0vqXi+vr74E0wUZ6hH81uWN4p8LnOO39b8Uga1q1jkmJ4ypPH1xv2JR8y/p/y6gfzU9HKskSRJd4vaxxO70IIZL1kHjpGyYrP5d+curXHr07k8qiZVQNsiNxLPFXJE1i3LxnEFNRoefvjhMqhZxVI5e3psyLIulLZ271t3nH2jOvDbejRBfihUShTKXJTa4m9p3cgQalu+Ep2j9V3ger1tbw19gm0pzI12tsXfRjvr/275zratcGrvZP3rCOCss341cZXStvtbOXm2/d1svcltNFr/d8vKuvXaIEXJU9nYNq1tt3NULtbfqw1wT+X05BUk7ztfaJ/aWUv24ZMA+PVuQtWh9VE7XwegqnPxmdRLolZY37Y8YWPWeaNt4zCM2PbZau1tMYOo3JNCatasiSd+XOEcNWhYbDkhBFGc4YvvP0OplP0aN5OvSBnT+Hqj9vFAqdPiN+EF1F7utz5IkqQKQaFQIAxFfznxal/b/HPoy51RO1s57lC6763a8ytXuUCeKH58YRJxGNDz9NNPl2HNKg4Z9JQDz2GPoo+KIXrMJyR8vhhD7LXyrpIkSXdI3Zn9abXpLRp+NcRie9yaIziEeVP/00EoVPKjV7Je69atccKVq1wotswlIgmieqlWW74fyf955UBXJwz/ScNxbNuE3HNXSFq4pryrJEnSHaRQKHCq4UeL1aPQ+ppm2ziEeZN1IZGMSJmaRrLdDyu/5wrnikxNkSquk04KB67LxXCLI4OecmIX5Idrr/agVKBQl9+aBZIk3T0qnR3NFr1Eq01v0WjuMwBc+mZ7+VZKqtB69+6NChVxXC60L4pIAggplORTKiCDnnJkiE4gPzkNl+5tyrsqkiTdRQqFgvyMgoHw2VeSyrE2UkWmVCr57JtPCqWmyBIZJBLLrktby7F29z4Z9JQju0BfFDotycs2kvfvyqySJFUOeZm5nP1wPXkZOcSuOcz+x74w77vwP3lhkmw3ZMgQDOSSRJx522XO4ksVgoODy7Fm9z4Z9JQjpYM9fhNeID81g/gP5pOfmX3rgyRJqhAyTsWQuPUE+/t9wcWbgpzUI1HkpVu/lIEkAdjb2xNEdaI4A4Be5BLDJX4/IseH3ooMesqZNiQA3/HPkZ+STuJXSxF5tq0hI0nSvcWhWsl5ko4OX1BGNZEqo/1JO0njOmniOlc5jxueNG7cuLyrdc+zKuiZO3cuDRs2xMXFBRcXF1q1asXvv/9u3v/MM8+gUCgsHi1btrQ4R2RkJG3atCEwMJCpU6da7AsJCUGhULBv3z6L7aNGjSqU+KwysQvwweulJ8g5cZ5r36/AmC2/AUpSRWfn7kj4z6/Q+NvnaPrDC3i0scx0rU9MJz+7ci+oJ909Hh4eBBDKBU5xhXMs3by4vKtUIVgV9AQGBjJr1iwOHjzIwYMH6dSpE3369OHEiRPmMt27dyc2Ntb82LBhg8U5RowYweDBg1m9ejVr165lz549Fvvt7e0ZN27cbTSpYnJoUhuPp3qSdfAk8R8uQB+dUN5VkiTJRmc/XM+fD31I5LRVnJzwC5kXEvHu/G+mW6UC95bVAMi6KJNBSrbbeXELScShxYEuXbqUd3UqBKuCnl69etGzZ09q1qxJzZo1mT59Ok5OThY9M1qtFj8/P/PDw8PD4hwpKSk0adKEhg0bEhAQQGpqqsX+l156iX379hUKlu4HLg+1xm/8MPQxiSR8LqN2SaqolHamlBnpJ2PQX8sgcuoqIqeuQuPuSP2PB5L8lylNhZ135coGLpWtkJAQ6tCM33etRaGwMZXSfcbmMT35+fksXbqUzMxMWrVqZd6+Y8cOfHx8qFmzJi+88AIJCZY9FlOnTqVr1644ODigVCrp1q2bxf6QkBCGDx/O22+/jdFoW86cikxbPQi3Xh3Ii7tG/Kc/IvJsy7clSVL5EEKQdTkJjzY1cK5XBYCgIW0Ie+0hVPYajo9eAv/ONNZ6O5djTaXK4IQ4QNu2bcu7GhWG1Rn8jh07RqtWrcjJycHJyYmVK1dSt25dAHr06METTzxBcHAwFy9eZOLEiXTq1IlDhw6Zl8Tu2bMniYmJpKWl4e3tXeRzvPvuuyxYsICffvqJwYMH30bzKiaXHm3IT00nbeMe8lPSUXu5lXeVJEkqJYVCQfrxqxbbEjYfx6VRVbSB7ii0amq90xtdoEcxZ5Ak6W6xOuipVasWR48eJSUlheXLlzN06FAiIiKoW7cuAwYMMJerX78+4eHhBAcHs379evr162fep9Vqiw14ALy9vRkzZgyTJk2yOGdpqezyUWqt6yHJtzUbrZWZgAFulXRYoVaha1yLtI17MObkmMs7u9g2pb2ah/ULofnrUm9dqAgHnKvadFxCtG0riBr8rO8NdHCz7XX0cMqy6ThvXabVx9gpbevhU9qQdRtsz6B9LcfB6mNS1ba1Lc/Rtv+jzva5ty5UhABH69fOSt95DGd/R9qPb07ErAPm7blxqSTGHWPEgYEolAogB4gx79epbBvQbBDW/91yjbZlq7c263nBcWUzSVhvkIPCpVuz+t1vZ2dH9erVAQgPD+fAgQPMnj2bb775plBZf39/goODOXv2rNUVGz16NHPmzGHOnDlWH1sZKO1NPWM5J86jdHIAIRDOGnnfVpLuYZvetpyYgQLzraxhfzz2b8AjSVJ5sS3kv4EQgtzcor9JJSUlceXKFfz9/a0+r5OTExMnTmTKlCn06tXrdqtZ4ah93LELDuD64vVcX7wegDhPZ7R+7igdtHj0aIZzs+oyCJKke0BuSjZHPtkNgEKlYPCqXjh669BnGji1+gK1e4ehc5NZryWpvFkV9EyYMIEePXoQFBREeno6S5cuZceOHWzcuJGMjAymTJnCY489hr+/P5cuXWLChAl4eXnx6KOP2lS5F198kc8++4yff/6ZFi1a2HSOikrl4oT/lOFkHz9n2mA0Yrx4DkNSGvrYZKKmLsX9oSZUebknCpVcY1KSykvMnigOTNuGQgFd329Nze7B5i8jOjcVTYfWLecaSpL0H6uCnvj4eAYPHkxsbCyurq40bNiQjRs30rVrV7Kzszl27Bg//vgjKSkp+Pv707FjR5YtW4azs20zFDQaDdOmTWPQoEE2HV/RCSG49u1vqL3cQanEEBWDyMvH+YEaeA94kMRlu0jbexqHOoEAODUKw6vXA+Vca0mq/IQQ5GXqQaHgz7GmBVq7LXmSGrXkFxBJupdZFfTMmzev2H06nY5NmzbdVmUuXbpUaNvAgQMZOHDgbZ23olIoFNiFVCHn+Dm4IZuuIT6Vqm89hkt4DdIOnCH7XCzGbD2x321CaafGtW1dVI725VhzSaqcjIZ8zq88wdll/5AVl2GxzznYDZCJgyXpXnbbY3qku0ehUeM37lnyklLJOXMJ77bBqOw15ttZDrWq4FDLtA6IEILjfd4n+qv1xHy7Eb9nu+LZo5m89SVJd0hOcja731hHyvnrBHevie8DgaZ0Oyolfi2Dyrt6kiSVggx6KgC1pytOrRqhdix+qnVKxHFc29bFvpofhvhUYr/dyPVNh6g69jHwkIGPJN2OjKup7H1nMznXs+j8fT/caxW/5IYkSfcueTWsYAzJGcQu2Er2xXiL7cl//E3q7pMk/rKbKq/0pPqnz4NRcP7NecTtuVQ+lZWkSsCQqWfjgJ9JPZdEmw97yIBHkiowGfRUMIb4FK6t3Evib5brgVQZ+QhuHRvg+e9AZl11f6p/MgzHhqEcnLKFzGjbFhuUpPuZ0ZBP3L7L5t896viUY20kSbpdMuipYBxqB1Jr3msEvvqIxfYL434gZfsxvPu1Nm9T2tsRNLovKns1F1YcL+uqSlKFlp+bx/aXVvHXpK14NvDlkTVDyrtKkiTdJjmmpwKy83YttM2hdiBpf54idv4WAkcWBEQqBy2uNby4uvUs9Ue2LnIxQyEEedkG9Ck56NNy0KfkkJ59ndw0PUGt/HELlpmgpfvLha+28ufqwyjtVDSf2ImqD9WQqylLUiUgg55KourYx0j7KxJd9cKrXzsGuZGw/wr739mInas9+tQc9Gm5//6bgz41B5FXdM6mxkPq0Or1pne7+pJUrvRJ6UT/sh97fzeSdkaS9m/C0C4LHsclxLa8cJIk3XsqZdCjtstDZZdn1TFKG6d2G/PL7g6h3lDyn0sXXv/fcpbbw15sx6VVx0k4GI1jkBsaVx12Xs44VvNB42Jvfti52qNx0aFxtade+t98/fxhjv54irzoazTo7EPdDl44utmVXElf29p2WCluXagItiRBdLSzLQGlmzbHpuMc1NYnQvTQ2JbcVG1jolJbE4662lmfvDXT4RbvoWKobUym6qXNKHH/8RXn+XPaQfPv/o08afRGI7oN8kTrmAwkl/q5VNj2PrYlcShAjlFj9THGW2U8Lka+jYlDk6Oz2TX3FG1erIV7kFPpn8/K0Re5doZbF5Lue5Uy6JEsqbRqgvs3JerXI1Qb2gLv1mG3PKZmA0/Gb2jN8T8SOf5HAkvfOQEKCGvmTv3O3jTo7INHFV0Z1F6S7q6kCwULCrZ4oS6tXmkAgFZb+mBHKpoQgnkDtpGTZqDx4yFWBT2SdDfIoOc+Uf25VqSeiufc/H14hldFaXfrP71PiCOdhjnSaVgIaYm5nNieyLE/Elj3yVlWzzpDldrO1OtkCoACajvJ5KdShWPMN3J+ezQAXac0p27v0HKuUeWiUCjoPT0co1EQ2MizvKsjSTLouV8oNSrCng7n0JhV7HlmMa2+H4S6hNsMXz59gIuHUxj8cX0adfPDxVtLq/6BtOofSE5mHqd3XuP4tkR2LrrM5jkXcA+wp35nH9zbCvwbe6NU3/nbfumnojEkpQMKUABKBQKlqbP+v0GmCgVqFx1OtQLu+PNLlUt6fBYL+24gLyefRz5tQ/WOgeVdpUqpeju/8q6CJJnJoOc+4hkejGtdP1JPxqG/nlVi0KNzMb01Fo05zrbvo3jivTrYO6s5t+86DR/ypXEPPxr38CNPb+T8wWSOb0vkn83xpC66jNbVjpAHAwntEEhgS380utt/mwmj4OQbi0pdPujFzvg9KpOvSsXb88U/5OXk88DzdWXAI0n3CRn03Gf8u9Qi9WQcudczcQh0K7Zc/U7enNxxjS4vhnJq1zU+H7DfvG/NR2d4ZnYjarf1Qm2npFZrT2q19qTfO7X485CaixFXuLj9KpHrLqDWqghs6U9oh0CCH6yCzt22RKjCaBrEWvWlznh3qY8wChBgFIBRmIaPCtOGuOV/cXX+dpQaFV7dGqPU2DZIVKq8hBCc3hAFQKtX6pdzbSRJKisy6LnPVHm4PvE7z3PorVU0n/04rrWLnm51/WoO7v729BxVnW4jwzi8Po6EC5k06OLDkvHHmTfiKG0GBhFU34V6Hb2xd1SjUCjwqeeJTz1PWrzSmJTLaVzacZWLO66yfeo+FAoFrkHOKFQKc9Z4IQABOflqCk98Eebk8iLPNCtJ7WyP2rlgAHVRs7cCh3UiP1tP1JzNXNtyjGoT+qL1dbvNV06qTDZN/AuADmObyLFoknQfkUHPfUalVdP0gz4ceO1XTn66jVbfDiyyXEayHjudqYdEpVbSvE/BGJmBM+oTsTCKUzuvsfPHy4SFuzHyx+aFzuFW1YXGQ+rSeEhdspKyubQzmuQLN6TDUBT8E5/jcuMmUCgsyvBvNmu38Gq3bKNSoyL0jYfx7tmEC7NWc3LUQmpMeUKO85EAyE3Xc3q9qZenVvfgcq6NJEllSQY99yGVVo1/l1pEfrWL1FNxuNYpPNCwZksP9v0azald16jzoJfFvuBGrgz5tCEAo+tu4fKxtELH38zBU0fdR6sXu/9wYpCVrbg1p1oB1Pl8KGff+43IcT9R9ZVueHVtcMefR6pY4k5cB6DxUzXRuWvLuTaSJJUlq6bYzJ07l4YNG+Li4oKLiwutWrXi999/N+8XQjBlyhQCAgLQ6XR06NCBEydOWJwjMjKSNm3aEBgYyNSpUy32hYSEoFAo2Ldvn8X2UaNG0aFDByubJpXEr0ttXGr7sn/EL6SdSSi0v1F3XwJqOXFobWyJ5/EM0tGq/707CFTj6kDtmQPxaF+XS5+t58yEpaRFxpV3te4rQgiu7o0mX2/bwol3WuS/Y3l0LrYtkihJUsVlVdATGBjIrFmzOHjwIAcPHqRTp0706dPHHNh8+OGHfPrpp/zvf//jwIED+Pn50bVrV9LT083nGDFiBIMHD2b16tWsXbuWPXsss4Xb29szbty4O9A0qSRadwce+OJxUClJ/vtqof0KhYLQpm5c/icVIYpfZTagljMndySSk2HdCthlSanVEPrGw1Sf/DiGlEwOj/yZpL8ulne17htROy6z6bWt7J9dsOpx+tU0/nh5LScXHgUgOymLhCOxJEdeK/H9didU62QK0n3re9zV55Ek6d5j1e2tXr16Wfw+ffp05s6dy759+6hbty6ff/4577zzDv369QNg4cKF+Pr6smTJEl566SUAUlJSaNKkCQ0bNiQgIIDU1FSLc7700kvMnTuXDRs20LNnz9tpm3QLSjs1Dv4uxP5xBp8Hq6Pzs0wsGtbMnT0/XyUtMRdXn6JnXT3yZg0+fWwfGz4/R793a5dFtW3m3rIGbs2rceG9ZZyZ/QctfnimVIs0SpbSojM4/OMpXKo4UrN/fVR2KvQZes5tuEBmQiYxB2Jx8HLAJciZvOw8onZcBuD0ijOEdApm/9yjXPs7HoDEo3HEHbhKwqGCHsXqj9YhfGxbcpKz0bra3/FEn6EP+qO2V3H9fBohrQvnqpMkqfKyeQW5/Px8li5dSmZmJq1ateLixYvExcXx0EMPmctotVrat2/Pn3/+ad42depUunbtioODA0qlkm7dulmcNyQkhOHDh/P2229jNNqWa0cqvZoj2pEVncL5H/YV2vffxUajLX7Kt3ewAw+9EsaepVdIjrE+D1NZU6iUVHu5PbkJacRtPlne1alw8nLyWD5sC6fXXeDP2Uf5oc1i5j2wkLXDfmfvR39xdt15XAKdSTqdxPElJ7m4LYrs66acZcY8IxuGbzIHPP/RutoT1KlgJeRzK0+xtNV3rOq5mFOL/y62Lvn6fHJTrc+jplQp8arhRuyxJKuPlSSpYrP6a+6xY8do1aoVOTk5ODk5sXLlSurWrWsObHx9LadA+/r6EhUVZf69Z8+eJCYmkpaWhre3d5HP8e6777JgwQJ++uknBg8ebG0VJSt4twjBKzyY9HPXCu3zCXUAYP/KGDo8U/wsl1YDAtkw+xzHtyXi99i9PxvGMdgTjwdCSdh2moBHGpZ3de46YRSc2XwFv4aeuAY43ta5Uq6kk5l4U3ArIOVCCgAugc44+jhi52KHZy0PqvesxvaJOwnpEExqVCq1Hq2JUy1/XMPcUdsX/vjJyzZwNeIS+97bAcDJhUepPaihxQrf+fp8to3aRMLROIQQhDxUjYbDmuBS1bXU7QhrF8D+eSfJN+Sjkus4SdJ9w+qgp1atWhw9epSUlBSWL1/O0KFDiYiIMO+/ec0LIUShbVqtttiAB8Db25sxY8YwadIkBgwYYG0VsdfmodJal3HXkGfbB19+GWZZ16htGwiaaSh5wKZRrSH9XCLJCQbs3E0XxSyjHW41PGkzNJQ1H54hMwseHFYNtaaI9ursCGzozq6frzL7KR0arfWvyZVMd6uPAYjJcLl1oZs4afS4V3fn8toTaPUZaBxLfn2EEKSeSeTU+iNcP5dMlRYBOPo4AAqyk7Op2as6jj7FBxOB9tYnrtQqbcsYrcwzcC0qC59qjub/d9u+u8jvn53FydOORyfWITcjD2cvO8LC3bFzKPgIMOTk8+fPV0hNyKXt01WLTCgb3BA8Fjfn4KoY7J3U7Pyh4AuN1lFF31FV+eZZ09idCWtMK2L36NP1prNk/fsogiu0GGBHv/5dWfvhGXYtjOKXB+cx82gXog5e50TENXYtMt0ua/1kIN4hDmyfH8XGoRcZsTCcoPqFAx9nVeEeSIcOSv78Kh+Hc2eo3qzo95CDUl90HUtQltnSAZxU1v9fK2ptq9KwNut5wfPZdly+ldngczT37rhC6d5hddBjZ2dH9eqmqcfh4eEcOHCA2bNnmwcfx8XF4e9fcJ88ISGhUO9PaYwePZo5c+YwZ84cq4+VrBPyUgeu7T7DyfG/EvZaV1zqVTHv6z6mDsY8wbavznB+3zUGf9UclUZBSmwOnlUdzBfW3hPr879+O/n1y1gGjalS3FPdM0L6NiBq5TGOfbydRm93QWVX/MXq+KcRRK0+jkqrwquuJ5GrzpKTnGNaFRo4uew0j3zfA9eq1gdgd9LeJVGsnW66ZddrXC1qtfVk//Joc2CSkaRn0aiC20UaeyUPPBZIjVYeuHhrWTXjNJf/No2x27UwioEfNKBmG08c3DQobxhXE9rUndCmpiC1ySP+zH7cdGu0QVdfguqbXoP/0pjYSqFQ0HtcLXYtNNX97cZbzftaD6hC3Q7e1G7rhVKloNUTgcx97hDzRhzl9aUtcPe/9arfVes64eSu5uDvicUGPZIkVT63PYpTCEFubi6hoaH4+fmxZcsWmjRpAoBeryciIoIPPvjA6vM6OTkxceJEpkyZUmgAtXRnaVwdaPDpQM59uoljo5bg+3Aj4p5zwa+WCwqFgoffrke9h/xZ9MoB5jyxi2ptvNn/cxQtB4XwyIR6APhWd6br67VZ9dlpGrZxoX4r53JuVcl0vs40fKsTh6dtJvlEHM3e645bncLBefLxWKJWH6fuyLaEP1EVjYPpG7kQApEvyIzPZOOrW1g5aA0Pvtuaat3DyropZtlpBb1Daz+IZO0H4OCqoVkff1Ao6DaiGlpHNXYOKq5HZ3NkXSz7frnKnp8uFzqXW4A9P487BsDDY2rS4bkQi/1zhxzgwsFkHD1Mr0dgfRd6v10LY76g8cN+dBl+Z16HET89wB/fXuB0hOn2a71O3jw2qY5F77GdTsVzXzbi8yf38/0rR3h5fjOc3EvuvVOpFbQb4Me2RbH0GRWMzkkOaJek+4FCWDE/dMKECfTo0YOgoCDS09NZunQps2bNYuPGjXTt2pUPPviAmTNnsmDBAmrUqMGMGTPYsWMHkZGRODvf+iIYEhLCqFGjGDVqFAAGg4E6deoQHR1NixYt2LFjR4nHp6Wl4erqSv1f3kLlYN2iY5Xh9pbIy0cYRaEZSa4OpRtgLIyCuLVHuPT9Tow5BtoNq0bXUbXMF5hrUZkse/Mw1y5lYsgx1eXxWY1p/IipZ0cIwYxWG9FolXyyoQ6unqXvsv8xpnWpy97IlttbAU4FiymmXUjinw+3kRqZgFd4EEHd6+DfoRqKf28bHJ66iZRTCXT86Wn8HDOKPJ8h20DEpN1c2X2VBye1oXoPywt+Wd3e+ntDDMveKujJ6TepDs37VUFtV/x71GgUZCTpSU/MJd9gRKlRcHhNLI16+JEck8NPb/4DwKSd7VFplGz49CyZKXoid1/DkG050UChhNoPejFgZn0c3e78GjiqwnlKLMSdzWDOswdR2ykZ8llDQhq5AUXf3gJIjs9lQueD9Hq1Kj1fKrw4ZkW4vWXLLadKe3srI4+JD2wjNTUVFxfZeycVzap3Y3x8PIMHD6ZWrVp07tyZv/76yxzwAIwdO5ZRo0bxyiuvEB4eTnR0NJs3by5VwFMUjUbDtGnTyMnJsen4+8250d9x8okZGPW23dtWKBX492lKi+UjeeiN2uycd55VU45hzDddbLyCHXl2XgucvOzMKSp+G3+UrFTTxeHMrkSyM4ykJeWxbn7hBQ/vRS5hnrSa/Sh1R7YlPyePw+9tYuewZcTtvkjU6uPEbD2Ld3hQidOmNToNHWe0o1q3UCIm7eLkL6fKsAUmcWfSWTbWFPAoVDDrny60ejKoxIAHQKlU4OKtpUpdF6o2ciOwriu9x9cmuJEbDbr4UL2FaS2bqe0imNF5J0fXxxJzOh1DthH3KvY8/WlD6rQ3rdgtjHAq4hrL3j5+dxtbDL8aToz+rSVu/vb8b/BBdi0u3IN1I3dfLW2f8GPz/Giy7+F1piRJunOs6um5193vPT1nXv4KfUwSwZMH4dy0IOVDaXt6btTD/yRHVl9lxcS/ado3iD5TGpjHdUTuTGDRKwdwdLcjM1nPqHXt8QpxYu37x/l77RVyMo24eauZsbw2XgGl+8ZfXj09N0s+Gc+pOXu4/k8MAEE969DgzQ4oNSp8denFHgemnq7d7//JpR2XGbj+CfPspLvd03NmVyJrpp8gNzOf5o8G0HN0jTuaRDP9Wi5n/kwi+lQ6jXv44eiuYdMX53jgsSpUb+kJwA8jj3BiWyIAz81tQp32xU9UsNWtenr+k28wsubjs+xadJmhnzWkbc/i3yPX43J596FDtOvvy5PvWuZ1kz09t/9cpueTPT3SvUPeyK5Egsb0I27hVnRhd2bBtSZ9AlEoYfmEv1Eoodc79VFplFRv7UWdTr6c2haPk6cd7lVMU9vzDEZyMv+95SHg7X6nmb2lHg7OFWdKsHtdX1r/rx+pkQno03PxahpY6sXxFAoFjZ5twLkNFzj87VEeeC38jtUrNS6bI2tiqN/ND5VagYuPPXFn0tnyxRnO7L5GaHMP+k2tj1/wrQfxWsvZS0uz3gE0612wbdBHllP9+75Th1YDg/Cr7oSr752vgzVUGiV9x9fk6ok09i2PLjHo8fDT4l3Vnj8WxdK4iye1W7qVXUUlSSpzMuipRHTV/AmdemfXNWrcKxBjvmDVlGOkJ+by9P/CUamVPPVFOIdXXWHFu//w94YYmvYJ5OHx9WhUHzJS82jby52xvU8z+42LjP26Gir1nV1V925zreVj03EugS40e7kJB748RFDbQPybFk7maosL+6+zefYZNs8+Y7HdO8yRQZ83oV4X3397d8onv5Wbvz1upZg1VVYUCgX2TupSve9yMkyv2SdDj/PloZbYy0HNklRpld29GalCyDgTR3a05e2Ypn2D6P9hEyIjErjyd4rF9tAHPFnxzt8sf+dv7HQqug/25vGR/vgF2zP6yzCO7kxjVNcTnPyr5FtDlUmDp+th56ThxM93ZmxPanwOexZdKrT9iVkNeW1lW+p39bujt7Mqi9T4nFJNnW/zWEGAe/qv1BJKSpJU0cmgR7Lw94hFHH7me5KjLRePc/I0jZG6eWDskLnNqfmgN8c2xpCTbjkOpXE7F6b/Vgs3bw2fj7pIWpJtC+5VNAqlgroD6nBl91VOr4i0+TyG3Hz2/RzFJ90jiDlZMA7pzU3tmHGiB016VUGllv+Fi5IYlUVMZAZ1O9x6bFG7/gW9cdWayLEgklSZyU9MySz3WsGU7LT4ghlzQgh2fHMWJy8tvjUtZ+JptCraPluNvFwjl/8uPGC3ekNH3vwqjPw8mPn8eS4czyIpVm+eEVZZNXm+ETV7V2fPzH2c2Bht0zkuHbzOmvdPkqc3jZNyr6Jj4p9d8Ay8vVQS94Oze015tfTZ+RiNJb/X3HwLJj3sXBZ3V+slSVL5kkGPZKb1cqLu9Mfw7dmQnfPOs/ydv9k57zzfPv0n5/68Rsa13CJ7FoKbuqNSK4g6dL3I87p5a5i4sDrXEwyM73ualx88zpO1jrDt18L5vioLpVpJ6/EtCekczIaZx0i+mmnV8du/OceiVw+bfx/6dThvbe6AztW2WT73mwuHUwD4+e0TvNP1IHmGkpMXT1zZGIBVn0dRiSa0SpJ0Exn0SBbcHwjDtVFVIiMSOLL6Klu/iLQYx5OZXHgar0qtpFGvKuyaf4F18+PJzyt80Qip68BX2+sxYV41np9qWgjOWD5jbsuMQqGg9VstsHfS8P2gXVb1+GQk6cnLNV2oWwysSq0H7/wU8MrsxlQUyXH6W455qlrXCYd/x//8vb3o4F2SpIpPBj1SIV4da9NnSgM0OhWewY68vLQNPcfVpUnfwGKTifaZ3IAWA4NZNDOaL9+8VGQZtZ2Sxu1dadrBlBSyIk1lt5XOU8dzP7YlONyT38Ye4tqFkgd0X9ibyMFfLlHlhsSZj4yvc7erWel0G1Gw5s6E3xqVahbXk++aVtL+6uWyX1xSkqSyUSnnZjpo9KjtrJvNYlDZuDihjQt92cJOZVvXiFZl/WqzQb0a8HidIDa/+yeLRx9l8KpehKmUXAfILfqYZm+0pm6VLH78LBHj9XTcvIp+e7kEQr1wHcs+vUqzcBXe/hq6eZ+wuo4Ai7NaWH2M3mjb3zo337b/LsG+evqODOTUlljyoq/hVbP4suvXXODgunjz7699HkYNhySbntcaSkXJt3+Ko8K242x6LoUVt5200L6PGxGrU6gVmIvLLRb2BOj9qB3zx5p+Vl+7hpu/9e+TfBsX4jMobXtPGoT170lbFxm09bPOaPPzWXdctg2fc9L9R/b0SMXyrO7Gg2OakR6TybwuK/hj6j7yckr+YOnW3xWtvYLX+l7k3Ini04eM/iCAPL3g+c7neffZyxzZVDHSVtjKzU+L2k7J1dNF5+/6T9+3CnoolCpo1dP9blet0nrunSrYOypZ/nViqcorlQp6P2taYXrHautX0ZYk6d4ngx6pRIHhvjz+w0M0eKIGZzdG8U27X/l7qWkadlZSNhvG7CQrqSDNhYu7mo9/CSEhJo/pI65y+mjRKTCqhNrx1bpQBr3qRcwlPYvGnTLPUqqMHFw0uPtrObIpgZzM4gNHVx8tg6bVAkxjnuT6O7Zz9VTz6AverJp3jd7VjvFM61NkpJXc4/PseH9qNNRxeGfJwemNNvx0nYfDTvBw2Al++zpBDoSWpHuYDHqkW/Jr4EXLVxrx+MJu1OoRwq6PDvFj7zXMf2glF7ZfJfqQZS9NSE0twyf5EnvZwKh+l1g5v+iBoS7uaga87MXkb4Mw5BpZOiWSLd9FkRRtfa6wimDY7Ppcu5LDxjmXSizn7FWQr8yQW3kDwbLQ7yUfajUxpUm5Hp/HyQOZJQYlKrWCNj1cOftP4ffg9UQDf/2RTsTaVJ5rf4aFH8fzwWtXWPq/gp6kHz+K582+58mv5EsySFJFJYMeqdS8arjRaVILmg6tg2d1N9q80QSlWsn+b46ResVygG73AW7mn795P55rccUvTBhcQ8vDr4Xy95ZEfp9ziY/7H+LKycq3gnOVWk60fsyfg+viS1ynqEZzN/7r4Pl7d/HJUaVb09gpmbk01Pz7+y9GcS225EUyXT3U5GQZyTNY/o32/J7G1Bcu8+HrV4m/YuCXOdfYuS6NpPg8eg5yZ9nR2gCcO57NgAYnSEuWY0wk6V4jgx7JKkqVktavNeHhT9vR5Ok6DFzaA2OekaVP/c7JNefR/9szYa9T8v4PQbTo7ATA8u9Lngbc/eUQPjrQjqnbWqHRKvlu5LFbLipXETXv40dqgp6PnjjImk/Pk51R+MKodVTjW9W0YN6SD6+WdRUrnax0y94yd++S1zpKS8lDq1Nw89jih5/2ILSOaSq8o7OSJ4Z7MWFOEF+sC+PFiX44uahYuM8U+OhzBbvWyZQWknSvkUGPdFvcQ10Z8FMPQtpWYdt7f/FUq3Ps3mjqnQhv58R73wXR5TFXdv2edssF4sB0wU+OzSU5NpfIPyvfeilV6znz/Jf18Ql1YOdP0UzutJe5L/7N+UMpFkFe16dM6/LEXCh+MLhUOs5uasZ+WZW+w7wAuHqhmOmH/7p6PpfAMC1KpeV4KqVSwf/WV2PNmbr88ncdnhnrS5vuLlSrqzMv5eDiUTCbysm18i/JIEkVjQx6pNtm56Sh24w2DPr1Yeo21fHZuFgSb7iF0PNJN67F5vFIrUgunSn5gvPH95dRKKDri1UJbeJaYtmKqlEXb579pB5vr2lOp2eDSInP5fOnjzC2+S7e67aP7149hoevHVqd6b9nRqq8TXK72vZ0ZeDrPmh1CjYsSipxzE3cZT3+wdpi95e05s/CDwrSWLTv7WZTXSVJunusCnpmzpxJ8+bNcXZ2xsfHh759+xIZaZlQ8ZlnnkGhUFg8WrZsaVEmMjKSNm3aEBgYyNSpUy32hYSEoFAo2Ldvn8X2UaNG0aFDB2uqK5UxjzBXxnwSgL2DkgUfFQxu9qlScDvhYETJs2Kux+bgX8OR3m9UQ6VRVuoZXZ5VdHR/OYSxv4UzYl4jeowIoVEXL9IS9cx+/QK52aa252RW8qWry4jOUcXQt/zY+PN1XuwQyR/LC09Lz80xcmxfJga9bbdWXT1NPT0d+7rdTlUlSbpLrAp6IiIiGDFiBPv27WPLli3k5eXx0EMPkZlpmVeoe/fuxMbGmh8bNmyw2D9ixAgGDx7M6tWrWbt2LXv27LHYb29vz7hx42xsklSenF1VdOvvxv5tBcGNp68a3yoavPzU9B5S8rozvqEOJFzMYt3sC4xuFMGP4yr/6rgqjZLarT3o/FxV+r5VnTeXNuPt+TVo28cDlRpcPWW+rTvlkaFefLS8Gk5uKr6fFlNoUPO6haaFIFt1sy3b+mMveTP9p1BemBwAwLVYg5zCLkn3EKuCno0bN/LMM89Qr149GjVqxIIFC7h8+TKHDh2yKKfVavHz8zM/PDw8LPanpKTQpEkTGjZsSEBAAKmplgP+XnrpJfbt21coWJIqhpBaWjLSjObFCRUKBWM+CeBaXB5vD75c4rGtHvcnuKELm76OAuDIxgQuHr3/BoTWa+HMub8zadrRrdjUH5JtajV2YOoPodg7Kvl2aozFvm0rk+nUz41O/WxfFLJBSyecXFRERebwXNvTDGpykmzZWydJ94Tb+jT9L1i5OajZsWMHPj4+1KxZkxdeeIGEBMt1XKZOnUrXrl1xcHBAqVTSrVs3i/0hISEMHz6ct99+G6Ox8t7eqKzirpiSkt44LbvBAw68MsWXEweziTpb/LgeBxcNoxY3ZfSSprTs549SpeDLZ4+y+pPz6LPvnwvH5p8Sib+cyxOvB5R3VSolV081Lbu6sm9zGkNanCLteh6rF1zjytlcXNxLn9oh+kJuoant//mvFykz3ciAhieZNz2myHKSJJUdm4MeIQSjR4+mbdu21K9f37y9R48e/PTTT2zbto1PPvmEAwcO0KlTJ3JzCy50PXv2JDExkZiYGFauXImqiLxX7777LhcvXuSnn36ytYpSOZn/gWmxtsAwO4vtPZ50x91bxf8mxbHqh6QSx02ENnHlqem1mflnGzo/G8TW7y/zZtOdfDfyGLlZlTv4yc8zsnZeHO37eVG1lkN5V6fS8qtqen+mXMvj6eanmPd+LAAXTpZucczTR7J4scs5Hm9wisQYA9EXc5k/I5ZFH8eRZxA06+DMmvMNGD7VFLiunp/E4k/ibnFWSZLuJpsTjo4cOZJ//vmH3bt3W2wfMGCA+ef69esTHh5OcHAw69evp1+/fuZ9Wq0Wb2/vYs/v7e3NmDFjmDRpksU5pXub/oYVhHWOljG1xk7By5P9mDEymmN/ZZGfB48971ni+RxcNDz8Whg+IQ78OO4U//xxjejIDMIq6cwugHMHUkiON9B1UPH/P6Tb1+1JD/S5RpQKSIgx8PtPpiUSJs8PKdXxzm6mL2sGveC3b66Rk2Vk6/IUALo84W6eAdbzKU+qVtcyYdBFItam8PSbfne8LZIklY5NQc+rr77KmjVr2LlzJ4GBgSWW9ff3Jzg4mLNnz1r9PKNHj2bOnDnMmTPHquNctTlotNbdFrM187bRhszDaqVtt+zsbcwi7KQpeZp4UdRK23pTdmzVm39+f1Q8L02vir1DwWvbuLuORg+mcepABjovB9KMOgCa6y6WeN7mA8Bw1oWfv0/DO/UKzXWmC1Ssv5vVdVx3uZ7VxwBcSbb+uQB87a1bXXr/7lhcPVU0bSRQKDJvfcANNArb/m4qbBtsq7Qhy7qdjXVUWpNl/QZF/R/95pPr+AVo2L06jaTEfFzcoF5jO+Yu88dOa3rN9aL4zwQhBEs+jgeg79MurFt6nZnf+tOttwPBNezw8RdAwRpLk4aa3t/9BruSfCGNy+f1tH3I0ZxbLR/bcqwZSqhjcWzNsm5LRnewPTu7tfVU2fiZJd1frHpXCSEYOXIkK1asYNu2bYSGht7ymKSkJK5cuYK/v7/VlXNycmLixIlMnz6dtDS5HH9FUL+Vs/nnPeuSGdH+OFfPWd4uuB5voGUPd9r29rj58BK9/q4HNepo+GhiEu+NTmTX1qxKOTPmysFEGrdylMlG7zCjUfDNJ8m0DLnEgi/T+PbTZC6eNZCfJ3j/f77MWxWAnbZ0r/nGFens+N0UHD3/pgfuXiq2rE6neTtHfPwLz7Z7abxpYcQ6jez59oNrTBwey4Zf5GeaJJU1q4KeESNGsHjxYpYsWYKzszNxcXHExcWRnW26qGVkZDBmzBj27t3LpUuX2LFjB7169cLLy4tHH33Upgq++OKLuLq68vPPP9t0vFS2nNzUzFheCxdPNQhIT85n8sCzHPwjxVzGN0hLfFQu12L0bPghgdTrBnJyCuc6Ksqsb3xIvmbk9xWZvPV8Ahf/TLjlMRWJPtNA3InrNGwpx/LcaUYjaDQKevRzZMxUD75b4c++SyH8cTyY2vWLX4ywKE1b6sw/P9LkEknx+eSXkDbliefc+W1fKA2a2zP8bVMA9NH4BFKS5MKTklSWrAp65s6dS2pqKh06dMDf39/8WLZsGQAqlYpjx47Rp08fatasydChQ6lZsyZ79+7F2dn5FmcvmkajYdq0aeTkyOX4K4rqjRz5dm8Dnh5XheqNHAitq+PDly4w8/lzxF7Kod2jHkQezuSVdsf54f2rjO11mg61LzP348KLxd2sSlUNO05VxcXV9NZdN/kw1y+XvOBhRZIclY7IF1SvZ1/eVal01GoFz73mxuRPvXl8iAsBQbavf+RbRcO2s2F07uUImAKqP9ZkcnB3VrHHePmqUSgUBIXZ0XewaUxa3/CLFr2VFyNzibtackJUSZJsZ/XtraIezzzzDAA6nY5NmzaRkJCAXq8nKiqKH374gaCgoFI/x6VLlxg1apTFtoEDByKEYMeOHdZUVypHSqWC3i/4MmN5bd75oTpvfhXK1XM5jOtzGidXNc9MNI0F0zoosXdQolZTqp4eMCUz3fx3VeYu80OtVfH9E9v4Z3XU3WxOmUmLNV00fQPlgoT3OrVawYRPfPCtUjCuZsnXpcsX92A3UyJeBycl/63KkZKUx/Pdo/jpf0l3vK6SJJnIVc+ku06hUNCimzufrK9DzcaOTBt6Fjutkm/+bMD3fzVk8qIa+PirOX64+DVPitKkhT3P/9qJej0CWTfpMEdXXLp7jSgjGYnZKNVKXD1kssqKQKNRMuXLgtlY0RdL10vTrI0D2y9UZ8OxaqhUpnFEeXng6qEiqJrdLY6WJMlWMuiRyoy9o4oJ86vz0CBvvn33MnPGRZF4NRcPPzvemubBiaN65nyYTG5O6WcE2Tmo6Tm5CY0fC2HTzL+JPXnrW2T3Mn2GAYUCOYi5AqnXxB6/QNPMpkYtdMWWS4g10L/NRdYtNS3qeuZ4Lu+8GEN2lun97uWrZsWhavR/wboB/pIklZ4MeqQypVQpeG5yIKNmhxJ/OZfpz55Dn2ukRTsdA5515teFaXz9cYpV51QoFDw0riG+NV1Z+vKfXLtQcWfF5KQbcPaTg5grmgUbgljweyCjp/sUW+Z6Qj4JMXl8/HYCo5+6ypULevZsyWT0oKtlWFNJur/JoEcqcwqFgtYPuzP++2qkJOWxam4cSqWCNyZ70ryNjrOn9Lc+yU3UWhUD5rTGwUPL2ncPYcyrmOlLspJycPCUg5jvJCEECXF5RF82WNWLaA1HZyXVamux1xX/kVq7kT2rD4cBkJVhpOMjpnE9p/7OJTVZrjEjSWXB5hWZJel2BYTa0+YRd/7anAJj/Fi1JJ0De7IZMty21ZZ1rnY88l5TfhwawYox++k9Ixw7h4r3Fpd3tmwnhCA5yUhcTB5xV/M4sCeHLWuzSEs1BTsKBVSpqkalgqgLeXTo7oDWXkFOtqBeIzueHu6KUnn3/gCu7ip2XKxRaPvjzc+z9lj1EoMmSZJuX8W7IkiVSrOOruxceZ2RT8VxcE8OvZ904mkbgx6AKg09eGJ2K1aO3c/Kt/bz+OctUWkqzoVE46AmN0NOWbbW+TN61i7LYOPqTK4nFvTm+Aao6DPQiUbN7bHTKoiLzuPCGQO52UbiYjL552AOwWEaFEoFcz5M4dcf03FxVeIfpKZxKwd6PO6Ek7Pqro2x+mxJFd4YFI0xH2aNjmPK3AAS4wzY2cnB7JJ0N8igRypXLbq50ba3O3FnMnh7lie9Bzjd9gWmejs/Hv+8Jb+M3MtPz++i//9aY+98708BF0Jw+a8EvGtU3rxid1JujmD98gzW/pLBiaN63DyUdH/UkSYP2OPppeTYYT1aewUKpYKkxHxUSnBxVTJ8jBv2OiXjZnhZnO/E0Vy2bcgkJ1uwfFE6u7dm879ppunjny8JoGmr4gcp26pJKwe2nqnOK49dofG/Cx6OfvIqMVEGmrd3oH4zHU+/WnJ+OkmSSk8GPVK5UqoUvPZpKFXVpVvfpLRCW/rw1Pdt+WXkXtZNOsTjn7W8o+e/G9Ljs0mOSqftqw2Aij0L7W5LjM/j9aEJXIg00KqDjg++9qZtZx0aOwX/HMpl1oQkzp02oNaAMR/zWjgA9Zto+X5l4bQ49RprqdfYtDLzmKkebFybzbQ3EjDmw9ezkvh2tWltqeU/pLLh1zQ8vFWMnuaN/20scgig1iiYuybY/HuLDo6sXJjCgYgsDkRkMfBlD1RqBUIIMtKMOLvKHiBJslWlDHq87dOx01m31oVR2HYLRKmwfmCkxoZjAHQq6wf4AjiprE846q6xLtHlf2x9HW3Vzvl08TsfBO9JXnzyViyBV48SVsc0QPiku/V54ABOxNmWHftseumypecpDaBUEBVvR46wba0WD1WKTcc5Kmy7pWZvw3s504YkmQB2/yY3zcsTjBp8jYw0Iys3elGrtinoMBr1/PJTFtMnp1G7roYVG7yoW1+DUgF79+Qy9ElTYG3IzsdDlUt+viA/H+zsiu5ZHPKokgBHN0a/nsKVC7m8+uhl8vIEsbH5XE8yrSc1oN1lOnSy49v57qhUCpvblnNDMs/x77mgUeTzyw+mRLUu6lyUSgUrl6Qz821TG3o94cjEj73IMVr/EW60cf6KHtsGWxtt7Lm1NuGoQiYclUqhUgY9kvSfjr1d+WpyHId2ZpqDnnuVWqfBraY314/FAvd2XcvTlcv5nI3M48tv3UlLNTJlQiqxMflcuZzHhXP59OuvY8oMV4tgxsGh4GdXNyVjXkvm7Jk8rlzO58AxX1QqBVEX83ByVuDpVRC4dHnInq07vFmyOIv4OCNKFYDgelI+Tk6QkQE7tunp0eUav2/1uiPzYb+ckWIOeL77zdc8sLpqaEGP0s6t2eTlCTn/VpKsVCmDHkOm9d9ay7KnR9jY06NU2fZtXGPDcTka2xIhZqlt+7aVqbHtNck03vr5lErQ5xrJTDeVNWTa1mOWn2Vb/jdrni8jOoWU0wmkJtVFY2f9ezJDbdvraOt70mDDcVnCtm/++sw8Vi/P5rMPTLnWtmzMZuf2XFRKqFZDTVg1Na+OdubB9lr0uQJ9rqk3RqmAatXV/LbOk0ULMkm5bmT/Pj1xsaa6N64VB0Duvx2iv2/zwtdPhRLT8ToHBcNedLSoy4XzeSz4PpN1a3IRAs6fy6dmSDy/bvSiig23u3JEwevoH6iic08do6d4oHNQkpFu2lervh3bjgeRnyfIyRHkZAtyjda//kZKv+r5jfS2HYYR2/7e1tYzK6NiLlMhlS2FuDHbXQWXk5NDSGgI8XHx5V0VSZIkqYz5+flx8eJF7O1lT6lUtEoV9IAp8NHrbfsmL0mSJFVcdnZ2MuCRSlTpgh5JkiRJkqSiyGFwkiRJkiTdF2TQI0mSJEnSfUEGPZIkSZIk3Rdk0CNJkiRJ0n1BBj2SJEmSJN0XZNAjSZIkSdJ9QQY9d8HOnTvp1asXAQEBKBQKVq1aZd5nMBgYN24cDRo0wNHRkYCAAIYMGUJMTIzFOXJzc3n11Vfx8vLC0dGR3r17c/XqVYsye/fupXHjxgQHB/Pdd9+Zt7ds2ZKXX37ZouzcuXNRKBTMmzfPYvuwYcNo3br1HWkbwIoVK+jWrRteXl4oFAqOHj1a6BwVtW1CCKZMmUJAQAA6nY4OHTpw4sSJCtG2m6WnpzNq1CiCg4PR6XS0bt2aAwcOWNXWyMhI2rRpQ2BgIFOnTjVvf/LJJ+nRo4dF2d9//x2FQsHEiRMttk+bNo2AgACb23GzvLw83n33XUJDQ9HpdISFhTF16lSMN6xcXFHbFhISgkKhKPQYMWJEhW6XJJUpId1xGzZsEO+8845Yvny5AMTKlSvN+1JSUkSXLl3EsmXLxOnTp8XevXtFixYtRLNmzSzOMXz4cFGlShWxZcsWcfjwYdGxY0fRqFEjkZeXZy5Tu3Zt8dtvv4k9e/aIatWqiaioKCGEEOPHjxe1atWyOF///v1FUFCQeOqppyy2h4WFiQkTJtyRtgkhxI8//ijee+898d133wlAHDlypNA5KmrbZs2aJZydncXy5cvFsWPHxIABA4S/v79IS0u759t2s/79+4u6deuKiIgIcfbsWTF58mTh4uIirl69Wuq2du7cWcydO1ccPHhQhIeHi927dwshhPj666+Fk5OTMBgM5rJjx44VQUFBok2bNhb16NSpkxg0aJDN7bjZ+++/Lzw9PcW6devExYsXxa+//iqcnJzE559/bi5TUduWkJAgYmNjzY8tW7YIQGzfvr1Ct0uSypIMeu6yoi6eN9u/f78AzBe/lJQUodFoxNKlS81loqOjhVKpFBs3bjRvq1q1qrhw4YLIyMgQ4eHh4sSJE0IIITZt2iQAERMTYy7r6+sr5syZI6pUqWLedvnyZQGILVu23PG2Xbx4scigp6K2zWg0Cj8/PzFr1izztpycHOHq6iq+/vrrCtW2rKwsoVKpxLp16yy2N2rUSLzzzjulaqsQQjRr1kzs27dP6PV60bt3b7F+/XohhBCRkZECEHv37jWXfeCBB8RXX30l7OzsRGZmphBCiNzcXKHT6cR3331nUzuK8vDDD4vnnnvOYlu/fv3E008/LYQo3d/xXm3bzV5//XVRrVo1YTQaK1W7JOlukkHPXVaaoGfLli1CoVCI1NRUIYQQf/zxhwDE9evXLco1bNhQTJo0yfz7999/L7RarVCpVGLkyJHm7RkZGUKj0YglS5YIIYQ4ceKEcHFxETk5OcLZ2VmcOXNGCCHEwoULLT7Q7mTbigt6Kmrbzp8/LwBx+PBhi3K9e/cWQ4YMqVBtS0tLE4DYunWrxfaWLVuK9u3bl6qtQgixfv164ezsLNRqtejbt69Fb1ZAQICYMWOG+fnUarVISEgQderUEZs3bxZCCBERESEAce7cOZvaUZSZM2eK4OBgERkZKYQQ4ujRo8LHx8f8mlbktt0oNzdXeHp6iunTp1eqdknS3SbH9JSznJwcxo8fz6BBg3BxcQEgLi4OOzs73N3dLcr6+voSFxdn/n3YsGEkJSWRmJjIl19+ad7u6OhI8+bN2bFjBwA7duygbdu2aLVa2rRpY7G9RYsWODg43N1G3qCitu2/uvn6+hZb74rSNmdnZ1q1asW0adOIiYkhPz+fxYsX89dffxEbG1uqtgL07NmTxMREYmJiWLlyJSqVyryvQ4cO5vru2rWLmjVr4u3tTfv27S3aERQURLVq1WxqR1HGjRvHwIEDqV27NhqNhiZNmjBq1CgGDhwIlO7veK+27UarVq0iJSWFZ555plK1S5LuNhn0lCODwcCTTz6J0Whkzpw5tywvhEChUFhsc3R0LHSRBejYsaPFB1WHDh0ACn2AderU6bbacKdUlLbdXMei6n2ze7FtixYtQghBlSpV0Gq1fPHFFwwaNMjiIliatmq1Wry9vYtsx549ezAYDGX6N1q2bBmLFy9myZIlHD58mIULF/Lxxx+zcOFCi3IVsW03mjdvHj169Cg0oLiit0uS7jYZ9JQTg8FA//79uXjxIlu2bDH38gD4+fmh1+tJTk62OCYhIaHQN7nidOzYkTNnzhAdHU1ERATt27cHCj7ALl++zMWLF+nYseOda1QpVNS2+fn5AVh8a7653hWpbdWqVSMiIoKMjAyuXLnC/v37MRgMhIaGlqqtpWlHZmYmBw4cYPv27RbtOHDgANevX2fv3r13/P331ltvMX78eJ588kkaNGjA4MGDeeONN5g5cyZQur/jrZRX2/4TFRXF1q1bef75583bKkO7JKksyKCnHPwX8Jw9e5atW7fi6elpsb9Zs2ZoNBq2bNli3hYbG8vx48dLPU25devWaLVa5syZQ3Z2Ns2aNQMgPDyc1NRUvvnmG+zt7WnZsuWda1gpVNS2/RcM3FhvvV5PRESEud4VsW2Ojo74+/uTnJzMpk2b6NOnT6naeivVqlUjKCiINWvWcPToUfMF1N/fn5CQED755BNycnLu+AU0KysLpdLyY02lUpmnrFfktv1nwYIF+Pj48PDDD5u3VYZ2SVKZKL/hRJVXenq6OHLkiDhy5IgAxKeffiqOHDkioqKihMFgEL179xaBgYHi6NGjFlNQc3NzzecYPny4CAwMFFu3bhWHDx8WnTp1KjT1+VbatWsnnJ2dRffu3S22d+nSRTg7O4tOnTrd0bYJIURSUpI4cuSIWL9+vQDE0qVLxZEjR0RsbGyFb9usWbOEq6urWLFihTh27JgYOHBgkVPW78W23Wzjxo3i999/FxcuXBCbN28WjRo1Eg888IDQ6/WlbuutDBkyRDg7O4vatWtbbH/++eeFs7OzCAsLu+123Gzo0KGiSpUq5inrK1asEF5eXmLs2LHmMhW1bUIIkZ+fL6pWrSrGjRtXaF9FbpcklRUZ9NwF27dvF0Chx9ChQ82zmop6/LfehhBCZGdni5EjRwoPDw+h0+nEI488Ii5fvmxVPSZPniwAi2msQggxbdo0AYhp06bd0bYJIcSCBQuK3D958uQK3zaj0SgmT54s/Pz8hFarFe3atRPHjh2zOMe92rabLVu2TISFhQk7Ozvh5+cnRowYIVJSUsz7S9PWW/nvvTB8+HCL7YsWLRKAGDZs2G2342ZpaWni9ddfF1WrVhX29vYiLCxMvPPOOxZfKCpq24QoWNbgv9lpN6rI7ZKksqIQQoi71IkkSZIkSZJ0z5BjeiRJkiRJui/IoEeSJEmSpPuCDHokSZIkSbovyKBHkiRJkqT7ggx6JEmSJEm6L8igR5IkSZKk+4IMeiRJkiRJui/IoEeSJEmSpPuCDHokSZIkSbovyKBHkiRJkqT7ggx6JEmSJEm6L/wfrY0yajKyIKoAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 600x800 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# set up the figure\n",
     "fig = plt.figure(figsize=(6, 8))\n",