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 "cells": [
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   "cell_type": "code",
   "execution_count": 1,
   "id": "0",
   "metadata": {
    "execution": {
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     "hide-in-docs"
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   "source": [
    "# Check whether easydiffraction is installed; install it if needed.\n",
    "# Required for remote environments such as Google Colab.\n",
    "import importlib.util\n",
    "\n",
    "if importlib.util.find_spec('easydiffraction') is None:\n",
    "    %pip install easydiffraction==0.18.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1",
   "metadata": {},
   "source": [
    "# Structure Refinement: LBCO, HRPT\n",
    "\n",
    "This basic example is designed to show how Rietveld refinement can be\n",
    "performed when both the crystal structure and experiment parameters\n",
    "are defined using CIF files.\n",
    "\n",
    "For this example, constant-wavelength neutron powder diffraction data\n",
    "for La0.5Ba0.5CoO3 from HRPT at PSI is used.\n",
    "\n",
    "The example is intended for users who are already familiar with the\n",
    "EasyDiffraction library and want to quickly get started with a basic\n",
    "refinement.\n",
    "\n",
    "It is also useful for those who want to see how constraints can be\n",
    "applied to highly correlated parameters. For a more detailed\n",
    "explanation of the code, please refer to the other tutorials."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2",
   "metadata": {},
   "source": [
    "## 🛠️ Import Library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-04T16:13:22.886586Z",
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     "shell.execute_reply": "2026-06-04T16:13:25.578220Z"
    }
   },
   "outputs": [],
   "source": [
    "import easydiffraction as ed"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4",
   "metadata": {},
   "source": [
    "## 📦 Define Project"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-04T16:13:25.581656Z",
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     "shell.execute_reply": "2026-06-04T16:13:26.351044Z"
    }
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   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "                (function() {\n",
       "                    var isDark = false;\n",
       "\n",
       "                    // Check JupyterLab theme\n",
       "                    if (document.body.classList.contains('jp-mod-dark') || \n",
       "                        document.body.classList.contains('theme-dark') ||\n",
       "                        document.body.classList.contains('vscode-dark')) {\n",
       "                        isDark = true;\n",
       "                    }\n",
       "\n",
       "                    // Check theme attribute\n",
       "                    var themeAttr = document.body.getAttribute('data-jp-theme-name');\n",
       "                    if (themeAttr && themeAttr.includes('dark')) {\n",
       "                        isDark = true;\n",
       "                    }\n",
       "\n",
       "                    // Check computed background color\n",
       "                    var notebookEl = document.querySelector('.jp-Notebook') || \n",
       "                                   document.querySelector('.notebook_app') ||\n",
       "                                   document.body;\n",
       "                    if (notebookEl) {\n",
       "                        var bgColor = window.getComputedStyle(notebookEl).backgroundColor;\n",
       "                        var rgb = bgColor.match(/\\d+/g);\n",
       "                        if (rgb && rgb.length >= 3) {\n",
       "                            var brightness = (parseInt(rgb[0]) + parseInt(rgb[1]) + parseInt(rgb[2])) / 3;\n",
       "                            if (brightness < 128) {\n",
       "                                isDark = true;\n",
       "                            }\n",
       "                        }\n",
       "                    }\n",
       "\n",
       "                    // Store result\n",
       "                    if (typeof IPython !== 'undefined' && IPython.notebook && IPython.notebook.kernel) {\n",
       "                        IPython.notebook.kernel.execute('_jupyter_dark_detect_result = ' + isDark);\n",
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       "                })();\n",
       "            "
      ],
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       "<IPython.core.display.Javascript object>"
      ]
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     "output_type": "display_data"
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     "data": {
      "application/javascript": [
       "\n",
       "            if (typeof IPython !== 'undefined' && IPython.notebook) {\n",
       "                IPython.notebook.kernel.execute(\"_jupyter_dark_detect_result = \" + \n",
       "                    (document.body.classList.contains('theme-dark') || \n",
       "                     document.body.classList.contains('jp-mod-dark') ||\n",
       "                     (document.body.getAttribute('data-jp-theme-name') && \n",
       "                      document.body.getAttribute('data-jp-theme-name').includes('dark'))));\n",
       "            }\n",
       "        "
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       "<IPython.core.display.Javascript object>"
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     "metadata": {},
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   "source": [
    "# Create a minimal project with a short name\n",
    "project = ed.Project(name='lbco_hrpt')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6",
   "metadata": {},
   "source": [
    "## 🧩 Define Structure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-04T16:13:26.354325Z",
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     "shell.execute_reply": "2026-06-04T16:13:26.754747Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;36mGetting data\u001b[0m\u001b[1;36m...\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data #\u001b[1;36m1\u001b[0m: La0.5Ba0.5CoO3 \u001b[1m(\u001b[0mcrystal structure\u001b[1m)\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Data #\u001b[1;36m1\u001b[0m downloaded to \u001b[32m'../../../data/ed-1.cif'\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# Download CIF file from repository\n",
    "structure_path = ed.download_data(id=1, destination='data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-04T16:13:26.757409Z",
     "iopub.status.busy": "2026-06-04T16:13:26.757178Z",
     "iopub.status.idle": "2026-06-04T16:13:26.770376Z",
     "shell.execute_reply": "2026-06-04T16:13:26.769534Z"
    }
   },
   "outputs": [],
   "source": [
    "# Add structure from downloaded CIF\n",
    "project.structures.add_from_cif_path(structure_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9",
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2026-06-04T16:13:27.017510Z"
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       "                    // Check JupyterLab theme\n",
       "                    if (document.body.classList.contains('jp-mod-dark') || \n",
       "                        document.body.classList.contains('theme-dark') ||\n",
       "                        document.body.classList.contains('vscode-dark')) {\n",
       "                        isDark = true;\n",
       "                    }\n",
       "\n",
       "                    // Check theme attribute\n",
       "                    var themeAttr = document.body.getAttribute('data-jp-theme-name');\n",
       "                    if (themeAttr && themeAttr.includes('dark')) {\n",
       "                        isDark = true;\n",
       "                    }\n",
       "\n",
       "                    // Check computed background color\n",
       "                    var notebookEl = document.querySelector('.jp-Notebook') || \n",
       "                                   document.querySelector('.notebook_app') ||\n",
       "                                   document.body;\n",
       "                    if (notebookEl) {\n",
       "                        var bgColor = window.getComputedStyle(notebookEl).backgroundColor;\n",
       "                        var rgb = bgColor.match(/\\d+/g);\n",
       "                        if (rgb && rgb.length >= 3) {\n",
       "                            var brightness = (parseInt(rgb[0]) + parseInt(rgb[1]) + parseInt(rgb[2])) / 3;\n",
       "                            if (brightness < 128) {\n",
       "                                isDark = true;\n",
       "                            }\n",
       "                        }\n",
       "                    }\n",
       "\n",
       "                    // Store result\n",
       "                    if (typeof IPython !== 'undefined' && IPython.notebook && IPython.notebook.kernel) {\n",
       "                        IPython.notebook.kernel.execute('_jupyter_dark_detect_result = ' + isDark);\n",
       "                    }\n",
       "                })();\n",
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       "                IPython.notebook.kernel.execute(\"_jupyter_dark_detect_result = \" + \n",
       "                    (document.body.classList.contains('theme-dark') || \n",
       "                     document.body.classList.contains('jp-mod-dark') ||\n",
       "                     (document.body.getAttribute('data-jp-theme-name') && \n",
       "                      document.body.getAttribute('data-jp-theme-name').includes('dark'))));\n",
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      "\u001b[1;36mStructure 🧩 \u001b[0m\u001b[32m'lbco'\u001b[0m\u001b[1;36m \u001b[0m\u001b[1;36m(\u001b[0m\u001b[1;36mAtom view type: \u001b[0m\u001b[32m'covalent'\u001b[0m\u001b[1;36m)\u001b[0m\n"
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       "  <div class=\"cv-hint\">drag = rotate<br>wheel = zoom<br>right-drag = pan</div>\n",
       "  <div class=\"cv-tooltip\"></div>\n",
       "</div>\n",
       "\n",
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       "  #crysview-deac0a9d08764b45b9e14957288e7277 .cv-card {\n",
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       "  #crysview-deac0a9d08764b45b9e14957288e7277 .cv-modebar {\n",
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       "    padding: 0; flex-wrap: wrap; justify-content: flex-end; max-width: 80%;\n",
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       "  #crysview-deac0a9d08764b45b9e14957288e7277 .mb-grp { display: flex; gap: 4px; }\n",
       "  #crysview-deac0a9d08764b45b9e14957288e7277 .mb {\n",
       "    width: 32px; height: var(--cv-control-h); display: inline-flex; align-items: center;\n",
       "    justify-content: center; padding: 0; border: 1px solid #dcdcdc; border-radius: 0;\n",
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       "  #crysview-deac0a9d08764b45b9e14957288e7277 .mb:hover { background: var(--cv-control-hover-bg); }\n",
       "  #crysview-deac0a9d08764b45b9e14957288e7277 .mb svg { width: 17px; height: 17px; display: block; }\n",
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       "  #crysview-deac0a9d08764b45b9e14957288e7277 .mb.tog { color: var(--cv-control-muted); }\n",
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       "    border: 1px solid var(--cv-panel-border); border-radius: 0;\n",
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       "  }\n",
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       "    display: inline-block; width: 11px; height: 11px; border-radius: 50%;\n",
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       "  #crysview-deac0a9d08764b45b9e14957288e7277 .cv-hint {\n",
       "    position: absolute; z-index: 5; bottom: 8px; left: 10px; font-size: 11px;\n",
       "    color: var(--cv-panel-fg); background: var(--cv-panel-bg);\n",
       "    border: 1px solid var(--cv-panel-border); padding: 5px 9px; border-radius: 0;\n",
       "    line-height: 1.5; text-align: left; box-shadow: var(--cv-panel-shadow);\n",
       "  }\n",
       "  #crysview-deac0a9d08764b45b9e14957288e7277 .cv-tooltip {\n",
       "    position: absolute; z-index: 4; pointer-events: none; display: none;\n",
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       "    pointer-events: none; white-space: nowrap;\n",
       "  }\n",
       "</style>\n",
       "\n",
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       "import { CSS2DRenderer, CSS2DObject } from 'three/addons/renderers/CSS2DRenderer.js';\n",
       "\n",
       "const SCENE = {\"atoms\": [{\"centre\": [1.9400000000000004, 1.9400000000000002, 1.94], \"radius\": 0.3367491648096547, \"colour\": [240, 144, 160], \"label\": \"Co\", \"asymmetric\": true}, {\"centre\": [2.3758147903458654e-16, 1.9400000000000002, 1.94], \"radius\": 0.2437211521390788, \"colour\": [255, 13, 13], \"label\": \"O\", \"asymmetric\": true}, {\"centre\": [3.88, 1.9400000000000002, 1.94], \"radius\": 0.2437211521390788, \"colour\": [255, 13, 13], \"label\": \"O\", \"asymmetric\": false}, {\"centre\": [1.9400000000000002, 1.94, 0.0], \"radius\": 0.2437211521390788, \"colour\": [255, 13, 13], \"label\": \"O\", \"asymmetric\": false}, {\"centre\": [1.9400000000000004, 1.9400000000000002, 3.88], \"radius\": 0.2437211521390788, \"colour\": [255, 13, 13], \"label\": \"O\", \"asymmetric\": false}, {\"centre\": [1.9400000000000002, 1.1879073951729327e-16, 1.94], \"radius\": 0.2437211521390788, \"colour\": [255, 13, 13], \"label\": \"O\", \"asymmetric\": false}, {\"centre\": [1.9400000000000004, 3.88, 1.94], \"radius\": 0.2437211521390788, \"colour\": [255, 13, 13], \"label\": \"O\", \"asymmetric\": false}], \"wedgeSpheres\": [{\"centre\": [0.0, 0.0, 0.0], \"radius\": 0.4316248370981447, \"label\": \"La/Ba\", \"wedges\": [{\"fraction\": 0.5, \"colour\": [112, 212, 255]}, {\"fraction\": 0.5, \"colour\": [0, 201, 0]}], \"asymmetric\": true}, {\"centre\": [2.3758147903458654e-16, 2.3758147903458654e-16, 3.88], \"radius\": 0.4316248370981447, \"label\": \"La/Ba\", \"wedges\": [{\"fraction\": 0.5, \"colour\": [112, 212, 255]}, {\"fraction\": 0.5, \"colour\": [0, 201, 0]}], \"asymmetric\": false}, {\"centre\": [2.3758147903458654e-16, 3.88, 0.0], \"radius\": 0.4316248370981447, \"label\": \"La/Ba\", \"wedges\": [{\"fraction\": 0.5, \"colour\": [112, 212, 255]}, {\"fraction\": 0.5, \"colour\": [0, 201, 0]}], \"asymmetric\": false}, {\"centre\": [4.751629580691731e-16, 3.8800000000000003, 3.88], \"radius\": 0.4316248370981447, \"label\": \"La/Ba\", \"wedges\": [{\"fraction\": 0.5, \"colour\": [112, 212, 255]}, {\"fraction\": 0.5, \"colour\": [0, 201, 0]}], \"asymmetric\": false}, {\"centre\": [3.88, 0.0, 0.0], \"radius\": 0.4316248370981447, \"label\": \"La/Ba\", \"wedges\": [{\"fraction\": 0.5, \"colour\": [112, 212, 255]}, {\"fraction\": 0.5, \"colour\": [0, 201, 0]}], \"asymmetric\": false}, {\"centre\": [3.8800000000000003, 2.3758147903458654e-16, 3.88], \"radius\": 0.4316248370981447, \"label\": \"La/Ba\", \"wedges\": [{\"fraction\": 0.5, \"colour\": [112, 212, 255]}, {\"fraction\": 0.5, \"colour\": [0, 201, 0]}], \"asymmetric\": false}, {\"centre\": [3.8800000000000003, 3.88, 0.0], \"radius\": 0.4316248370981447, \"label\": \"La/Ba\", \"wedges\": [{\"fraction\": 0.5, \"colour\": [112, 212, 255]}, {\"fraction\": 0.5, \"colour\": [0, 201, 0]}], \"asymmetric\": false}, {\"centre\": [3.880000000000001, 3.8800000000000003, 3.88], \"radius\": 0.4316248370981447, \"label\": \"La/Ba\", \"wedges\": [{\"fraction\": 0.5, \"colour\": [112, 212, 255]}, {\"fraction\": 0.5, \"colour\": [0, 201, 0]}], \"asymmetric\": false}], \"ellipsoids\": [], \"bonds\": [{\"start\": [1.9400000000000004, 1.9400000000000002, 1.94], \"end\": [2.3758147903458654e-16, 1.9400000000000002, 1.94], \"startColour\": [240, 144, 160], \"endColour\": [255, 13, 13], \"startElement\": \"Co\", \"endElement\": \"O\"}, {\"start\": [1.9400000000000004, 1.9400000000000002, 1.94], \"end\": [3.88, 1.9400000000000002, 1.94], \"startColour\": [240, 144, 160], \"endColour\": [255, 13, 13], \"startElement\": \"Co\", \"endElement\": \"O\"}, {\"start\": [1.9400000000000004, 1.9400000000000002, 1.94], \"end\": [1.9400000000000002, 1.94, 0.0], \"startColour\": [240, 144, 160], \"endColour\": [255, 13, 13], \"startElement\": \"Co\", \"endElement\": \"O\"}, {\"start\": [1.9400000000000004, 1.9400000000000002, 1.94], \"end\": [1.9400000000000004, 1.9400000000000002, 3.88], \"startColour\": [240, 144, 160], \"endColour\": [255, 13, 13], \"startElement\": \"Co\", \"endElement\": \"O\"}, {\"start\": [1.9400000000000004, 1.9400000000000002, 1.94], \"end\": [1.9400000000000002, 1.1879073951729327e-16, 1.94], \"startColour\": [240, 144, 160], \"endColour\": [255, 13, 13], \"startElement\": \"Co\", \"endElement\": \"O\"}, {\"start\": [1.9400000000000004, 1.9400000000000002, 1.94], \"end\": [1.9400000000000004, 3.88, 1.94], \"startColour\": [240, 144, 160], \"endColour\": [255, 13, 13], \"startElement\": \"Co\", \"endElement\": \"O\"}], \"cellEdges\": [{\"start\": [0.0, 0.0, 0.0], \"end\": [3.88, 0.0, 0.0]}, {\"start\": [0.0, 0.0, 0.0], \"end\": [2.3758147903458654e-16, 3.88, 0.0]}, {\"start\": [0.0, 0.0, 0.0], \"end\": [2.3758147903458654e-16, 2.3758147903458654e-16, 3.88]}, {\"start\": [2.3758147903458654e-16, 2.3758147903458654e-16, 3.88], \"end\": [3.8800000000000003, 2.3758147903458654e-16, 3.88]}, {\"start\": [2.3758147903458654e-16, 2.3758147903458654e-16, 3.88], \"end\": [4.751629580691731e-16, 3.8800000000000003, 3.88]}, {\"start\": [2.3758147903458654e-16, 3.88, 0.0], \"end\": [3.8800000000000003, 3.88, 0.0]}, {\"start\": [2.3758147903458654e-16, 3.88, 0.0], \"end\": [4.751629580691731e-16, 3.8800000000000003, 3.88]}, {\"start\": [4.751629580691731e-16, 3.8800000000000003, 3.88], \"end\": [3.880000000000001, 3.8800000000000003, 3.88]}, {\"start\": [3.88, 0.0, 0.0], \"end\": [3.8800000000000003, 3.88, 0.0]}, {\"start\": [3.88, 0.0, 0.0], \"end\": [3.8800000000000003, 2.3758147903458654e-16, 3.88]}, {\"start\": [3.8800000000000003, 2.3758147903458654e-16, 3.88], \"end\": [3.880000000000001, 3.8800000000000003, 3.88]}, {\"start\": [3.8800000000000003, 3.88, 0.0], \"end\": [3.880000000000001, 3.8800000000000003, 3.88]}], \"axes\": {\"origin\": [0.0, 0.0, 0.0], \"arrows\": [{\"vector\": [5.044, 0.0, 0.0], \"colour\": [220, 40, 40], \"letter\": \"a\"}, {\"vector\": [3.0885592274496246e-16, 5.044, 0.0], \"colour\": [40, 180, 40], \"letter\": \"b\"}, {\"vector\": [3.0885592274496246e-16, 3.0885592274496246e-16, 5.044], \"colour\": [40, 80, 220], \"letter\": \"c\"}]}, \"labels\": [{\"anchor\": [1.9400000000000004, 1.9400000000000002, 1.94], \"text\": \"Co\"}, {\"anchor\": [2.3758147903458654e-16, 1.9400000000000002, 1.94], \"text\": \"O\"}, {\"anchor\": [3.88, 1.9400000000000002, 1.94], \"text\": \"O\"}, {\"anchor\": [1.9400000000000002, 1.94, 0.0], \"text\": \"O\"}, {\"anchor\": [1.9400000000000004, 1.9400000000000002, 3.88], \"text\": \"O\"}, {\"anchor\": [1.9400000000000002, 1.1879073951729327e-16, 1.94], \"text\": \"O\"}, {\"anchor\": [1.9400000000000004, 3.88, 1.94], \"text\": \"O\"}, {\"anchor\": [0.0, 0.0, 0.0], \"text\": \"La/Ba\"}, {\"anchor\": [2.3758147903458654e-16, 2.3758147903458654e-16, 3.88], \"text\": \"La/Ba\"}, {\"anchor\": [2.3758147903458654e-16, 3.88, 0.0], \"text\": \"La/Ba\"}, {\"anchor\": [4.751629580691731e-16, 3.8800000000000003, 3.88], \"text\": \"La/Ba\"}, {\"anchor\": [3.88, 0.0, 0.0], \"text\": \"La/Ba\"}, {\"anchor\": [3.8800000000000003, 2.3758147903458654e-16, 3.88], \"text\": \"La/Ba\"}, {\"anchor\": [3.8800000000000003, 3.88, 0.0], \"text\": \"La/Ba\"}, {\"anchor\": [3.880000000000001, 3.8800000000000003, 3.88], \"text\": \"La/Ba\"}], \"legend\": [{\"symbol\": \"La\", \"colour\": [112, 212, 255]}, {\"symbol\": \"Ba\", \"colour\": [0, 201, 0]}, {\"symbol\": \"Co\", \"colour\": [240, 144, 160]}, {\"symbol\": \"O\", \"colour\": [255, 13, 13]}], \"palettes\": {\"jmol\": {\"La\": [112, 212, 255], \"Ba\": [0, 201, 0], \"Co\": [240, 144, 160], \"O\": [255, 13, 13]}, \"vesta\": {\"La\": [90, 196, 73], \"Ba\": [0, 201, 0], \"Co\": [0, 0, 175], \"O\": [254, 3, 0]}}};\n",
       "const FEATURES = [\"atoms\", \"axes\", \"bonds\", \"cell\"];\n",
       "const INITIAL_THEME = 'light';\n",
       "\n",
       "const ICONS = {\n",
       "  perspective: '<svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3.5\" y=\"4.5\" width=\"17\" height=\"15\" rx=\"1.5\"/><path d=\"M9 4.5 11 19.5M15 4.5 13 19.5\"/></svg>',\n",
       "  orthographic: '<svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3.5\" y=\"4.5\" width=\"17\" height=\"15\" rx=\"1.5\"/><path d=\"M9.5 4.5V19.5M14.5 4.5V19.5\"/></svg>',\n",
       "  home: '<svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 11 12 3l9 8\"/><path d=\"M5 9.5V20h5v-6h4v6h5V9.5\"/></svg>',\n",
       "  cell: '<svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.7\" stroke-linejoin=\"round\" stroke-linecap=\"round\"><path d=\"M12 2.5 20 7v9l-8 4.5L4 16V7Z\"/><path d=\"M4 7l8 4.5L20 7M12 11.5v9\"/></svg>',\n",
       "  axes: '<svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.7\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M5 19V6M5 19h13M5 19l7-7\"/><path d=\"M5 6 3.3 8.2M5 6l1.7 2.2M18 19l-2.2-1.4M18 19l-2.2 1.4\"/></svg>',\n",
       "  atoms: '<svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.7\" stroke-linecap=\"round\"><path d=\"M11.8 12.2 14 10M12.9 16.1l1.8.4\"/><circle cx=\"9\" cy=\"15\" r=\"4.2\" fill=\"currentColor\" stroke=\"none\"/><circle cx=\"16\" cy=\"8\" r=\"3\" fill=\"currentColor\" stroke=\"none\"/><circle cx=\"17\" cy=\"17\" r=\"2.6\" fill=\"currentColor\" stroke=\"none\"/></svg>',\n",
       "  bonds: '<svg viewBox=\"0 0 24 24\"><line x1=\"8\" y1=\"16\" x2=\"16\" y2=\"8\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\"/><circle cx=\"6.7\" cy=\"17.3\" r=\"3.1\" fill=\"currentColor\"/><circle cx=\"17.3\" cy=\"6.7\" r=\"3.1\" fill=\"currentColor\"/></svg>',\n",
       "  asymmetricUnit: '<svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.7\" stroke-linecap=\"round\"><circle cx=\"9\" cy=\"15\" r=\"4.2\" fill=\"currentColor\" stroke=\"none\"/><circle cx=\"16\" cy=\"8\" r=\"3\" opacity=\".48\"/><circle cx=\"17\" cy=\"17\" r=\"2.6\" opacity=\".34\"/><path d=\"M11.8 12.2 14 10M12.9 16.1l1.8.4\" opacity=\".34\"/></svg>',\n",
       "  atomsOff: '<svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.7\" stroke-linecap=\"round\"><path d=\"M11.8 12.2 14 10M12.9 16.1l1.8.4\"/><circle cx=\"9\" cy=\"15\" r=\"4.2\"/><circle cx=\"16\" cy=\"8\" r=\"3\"/><circle cx=\"17\" cy=\"17\" r=\"2.6\"/></svg>',\n",
       "  moments: '<svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.9\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M12 20V5\"/><path d=\"M7 10l5-6 5 6\"/></svg>',\n",
       "  labels: '<svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linejoin=\"round\" stroke-linecap=\"round\"><rect x=\"3.5\" y=\"5\" width=\"17\" height=\"14\" rx=\"2\"/><path d=\"M9 15.5 12 8.5l3 7M10.1 13.2h3.8\"/></svg>',\n",
       "  camera: '<svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M4 8h3l1.5-2h7L17 8h3a1 1 0 0 1 1 1v9a1 1 0 0 1-1 1H4a1 1 0 0 1-1-1V9a1 1 0 0 1 1-1Z\"/><circle cx=\"12\" cy=\"13\" r=\"3.4\"/></svg>',\n",
       "};\n",
       "\n",
       "const root = document.getElementById('crysview-deac0a9d08764b45b9e14957288e7277');\n",
       "const host = root.querySelector('.cv-canvas');\n",
       "const modebar = root.querySelector('.cv-modebar');\n",
       "const downloadHost = root.querySelector('.cv-download');\n",
       "const legend = root.querySelector('.cv-legend');\n",
       "const tooltip = root.querySelector('.cv-tooltip');\n",
       "\n",
       "// Element palettes are authored in sRGB; tag the colour space so Three.js\n",
       "// converts to linear for lighting instead of treating it as already-linear\n",
       "// (which washes out and desaturates the atoms).\n",
       "const col = (rgb) => new THREE.Color().setRGB(rgb[0] / 255, rgb[1] / 255, rgb[2] / 255, THREE.SRGBColorSpace);\n",
       "const vec = (xyz) => new THREE.Vector3(xyz[0], xyz[1], xyz[2]);\n",
       "const rgbCss = (rgb) => `rgb(${rgb[0]},${rgb[1]},${rgb[2]})`;\n",
       "const cssVar = (name, fallback) => getComputedStyle(root).getPropertyValue(name).trim() || fallback;\n",
       "const elementOf = (label) => (label.match(/[A-Z][a-z]?/) || [label])[0];\n",
       "const PALETTES = SCENE.palettes || {};\n",
       "\n",
       "// Phong material with a small, subtle highlight (mirrors the raster figure:\n",
       "// bright saturated atoms, tight specular spot, small dark region).\n",
       "const SPECULAR = new THREE.Color(0.2, 0.2, 0.2);\n",
       "const solidMat = (c, doubleSide) => new THREE.MeshPhongMaterial({\n",
       "  color: c, shininess: 90, specular: SPECULAR,\n",
       "  side: doubleSide ? THREE.DoubleSide : THREE.FrontSide,\n",
       "});\n",
       "\n",
       "let width = host.clientWidth || 640;\n",
       "let height = host.clientHeight || 480;\n",
       "\n",
       "const scene = new THREE.Scene();\n",
       "const renderer = new THREE.WebGLRenderer({ antialias: true, alpha: true, preserveDrawingBuffer: true });\n",
       "renderer.setPixelRatio(window.devicePixelRatio);\n",
       "renderer.setSize(width, height);\n",
       "host.appendChild(renderer.domElement);\n",
       "\n",
       "const labelRenderer = new CSS2DRenderer();\n",
       "labelRenderer.setSize(width, height);\n",
       "labelRenderer.domElement.style.position = 'absolute';\n",
       "labelRenderer.domElement.style.top = '0';\n",
       "labelRenderer.domElement.style.pointerEvents = 'none';\n",
       "host.appendChild(labelRenderer.domElement);\n",
       "\n",
       "// Camera-relative key + fill (headlights) so atoms stay bright and saturated\n",
       "// from any angle, with a small dark region — matching the raster figure.\n",
       "scene.add(new THREE.AmbientLight(0xffffff, 0.68));\n",
       "const key = new THREE.DirectionalLight(0xffffff, 1.25);\n",
       "const fill = new THREE.DirectionalLight(0xffffff, 0.34);\n",
       "scene.add(key, key.target, fill, fill.target);\n",
       "\n",
       "const groups = {};\n",
       "for (const name of ['cell', 'axes', 'atoms', 'bonds', 'moments', 'labels']) {\n",
       "  groups[name] = new THREE.Group();\n",
       "  groups[name].visible = FEATURES.includes(name);\n",
       "  scene.add(groups[name]);\n",
       "}\n",
       "\n",
       "const unitSphere = new THREE.SphereGeometry(1, 24, 16);\n",
       "\n",
       "for (const a of SCENE.atoms) {\n",
       "  const mesh = new THREE.Mesh(unitSphere, solidMat(col(a.colour)));\n",
       "  mesh.position.copy(vec(a.centre));\n",
       "  mesh.scale.setScalar(a.radius);\n",
       "  mesh.userData.label = a.label;\n",
       "  mesh.userData.element = elementOf(a.label);\n",
       "  mesh.userData.asymmetric = a.asymmetric;\n",
       "  groups.atoms.add(mesh);\n",
       "}\n",
       "\n",
       "// Occupancy-wedge spheres: carve longitude wedges (proportional phi spans) and\n",
       "// orient them toward the camera below, once the view basis is known.\n",
       "const wedgeMeshes = [];\n",
       "for (const s of SCENE.wedgeSpheres) {\n",
       "  let phi = 0;\n",
       "  const parts = s.label.split('/');\n",
       "  s.wedges.forEach((w, i) => {\n",
       "    const span = w.fraction * Math.PI * 2;\n",
       "    const geo = new THREE.SphereGeometry(s.radius, Math.max(6, Math.round(48 * w.fraction)), 16, phi, span);\n",
       "    const mesh = new THREE.Mesh(geo, solidMat(col(w.colour), true));\n",
       "    mesh.position.copy(vec(s.centre));\n",
       "    mesh.userData.label = s.label;\n",
       "    mesh.userData.element = parts[i] || null;   // null for the vacancy wedge\n",
       "    mesh.userData.asymmetric = s.asymmetric;\n",
       "    groups.atoms.add(mesh);\n",
       "    wedgeMeshes.push(mesh);\n",
       "    phi += span;\n",
       "  });\n",
       "}\n",
       "\n",
       "for (const e of SCENE.ellipsoids) {\n",
       "  const basis = new THREE.Matrix4().makeBasis(vec(e.orientation[0]), vec(e.orientation[1]), vec(e.orientation[2]));\n",
       "  const quat = new THREE.Quaternion().setFromRotationMatrix(basis);\n",
       "  const split = e.wedges && e.wedges.length;\n",
       "  const wedges = split ? e.wedges : [{ fraction: 1, colour: e.colour }];\n",
       "  const parts = e.label.split('/');\n",
       "  let phi = 0;\n",
       "  wedges.forEach((w, i) => {\n",
       "    const span = w.fraction * Math.PI * 2;\n",
       "    const geo = new THREE.SphereGeometry(1, Math.max(6, Math.round(48 * w.fraction)), 16, phi, span);\n",
       "    const mesh = new THREE.Mesh(geo, solidMat(col(w.colour), true));\n",
       "    mesh.position.copy(vec(e.centre));\n",
       "    mesh.scale.set(e.semiAxes[0], e.semiAxes[1], e.semiAxes[2]);\n",
       "    mesh.quaternion.copy(quat);\n",
       "    mesh.userData.label = e.label;\n",
       "    mesh.userData.element = split ? (parts[i] || null) : elementOf(e.label);\n",
       "    mesh.userData.asymmetric = e.asymmetric;\n",
       "    groups.atoms.add(mesh);\n",
       "    phi += span;\n",
       "  });\n",
       "}\n",
       "\n",
       "const addHalfBond = (p0, p1, colour, element) => {\n",
       "  const direction = p1.clone().sub(p0);\n",
       "  const length = direction.length();\n",
       "  if (length < 1e-6) return;\n",
       "  const geo = new THREE.CylinderGeometry(0.06, 0.06, length, 12);\n",
       "  const mesh = new THREE.Mesh(geo, solidMat(col(colour)));\n",
       "  mesh.position.copy(p0.clone().add(p1).multiplyScalar(0.5));\n",
       "  mesh.quaternion.setFromUnitVectors(new THREE.Vector3(0, 1, 0), direction.normalize());\n",
       "  mesh.userData.element = element || null;\n",
       "  groups.bonds.add(mesh);\n",
       "};\n",
       "for (const b of SCENE.bonds) {\n",
       "  const start = vec(b.start);\n",
       "  const end = vec(b.end);\n",
       "  const mid = start.clone().add(end).multiplyScalar(0.5);\n",
       "  addHalfBond(start, mid, b.startColour, b.startElement);\n",
       "  addHalfBond(mid, end, b.endColour, b.endElement);\n",
       "}\n",
       "\n",
       "const cellMaterial = new THREE.LineBasicMaterial({\n",
       "  color: new THREE.Color(cssVar('--cv-scene-fg', 'rgb(34, 34, 34)')),\n",
       "});\n",
       "for (const edge of SCENE.cellEdges) {\n",
       "  const geo = new THREE.BufferGeometry().setFromPoints([vec(edge.start), vec(edge.end)]);\n",
       "  groups.cell.add(new THREE.Line(geo, cellMaterial));\n",
       "}\n",
       "\n",
       "// Axis arrows are built after the camera fit (below), so their thickness, head,\n",
       "// and overhang can be sized from the on-screen zoom and look identical in\n",
       "// every cell regardless of size or proportions.\n",
       "\n",
       "for (const label of SCENE.labels) {\n",
       "  const div = document.createElement('div');\n",
       "  div.className = 'cv-atom-label';\n",
       "  div.textContent = label.text;\n",
       "  const obj = new CSS2DObject(div);\n",
       "  obj.visible = groups.labels.visible;\n",
       "  obj.position.copy(vec(label.anchor));\n",
       "  groups.labels.add(obj);\n",
       "}\n",
       "\n",
       "const box = new THREE.Box3();\n",
       "scene.traverse((obj) => {\n",
       "  if (obj.isMesh || obj.isLine) box.expandByObject(obj);\n",
       "});\n",
       "if (box.isEmpty()) box.set(new THREE.Vector3(-1, -1, -1), new THREE.Vector3(1, 1, 1));\n",
       "const target = box.getBoundingSphere(new THREE.Sphere()).center;\n",
       "const aspect = width / height;\n",
       "const cellBasis = SCENE.axes ? SCENE.axes.arrows.map((a) => vec(a.vector)) : [];\n",
       "\n",
       "// Real content points the framing must enclose — atom centres, cell vertices,\n",
       "// and the cell origin. (AABB corners are wrong here: they stick out into empty\n",
       "// space and over-zoom-out the view.) Axis arrows are sized from the zoom and\n",
       "// reserved via `margin` below, not enclosed point-by-point. fitPad grows the\n",
       "// extent by the largest atom radius so boundary spheres are not clipped.\n",
       "const fitPoints = [];\n",
       "let fitPad = 0;\n",
       "for (const a of SCENE.atoms) { fitPoints.push(vec(a.centre)); fitPad = Math.max(fitPad, a.radius); }\n",
       "for (const s of SCENE.wedgeSpheres || []) { fitPoints.push(vec(s.centre)); fitPad = Math.max(fitPad, s.radius); }\n",
       "for (const e of SCENE.ellipsoids || []) { fitPoints.push(vec(e.centre)); fitPad = Math.max(fitPad, Math.max(...e.semiAxes)); }\n",
       "for (const edge of SCENE.cellEdges || []) { fitPoints.push(vec(edge.start), vec(edge.end)); }\n",
       "if (SCENE.axes) fitPoints.push(vec(SCENE.axes.origin));\n",
       "if (!fitPoints.length) fitPoints.push(box.min.clone(), box.max.clone());\n",
       "\n",
       "// Default orientation: longest cell axis horizontal, 2nd-longest vertical, the\n",
       "// shortest axis into depth, then a small azimuth + elevation for a trimetric\n",
       "// 3D read. Falls back to a fixed angle when the cell axes are absent.\n",
       "let viewUp;\n",
       "let viewDir;\n",
       "if (SCENE.axes && SCENE.axes.arrows.length === 3) {\n",
       "  // Default view (by axis length): longest axis horizontal, 2nd-longest up,\n",
       "  // shortest into depth, viewed along 0.37·longest + 0.24·middle + 0.90·shortest.\n",
       "  const sorted = SCENE.axes.arrows.map((a) => vec(a.vector)).sort((p, q) => q.length() - p.length());\n",
       "  const longest = sorted[0].clone().normalize();\n",
       "  const middle = sorted[1].clone().normalize();\n",
       "  const shortest = sorted[2].clone().normalize();\n",
       "  viewUp = middle.clone();\n",
       "  viewDir = longest.clone().multiplyScalar(0.37)\n",
       "    .add(middle.clone().multiplyScalar(0.24))\n",
       "    .add(shortest.clone().multiplyScalar(0.90))\n",
       "    .normalize();\n",
       "} else {\n",
       "  viewUp = new THREE.Vector3(0, 1, 0);\n",
       "  viewDir = new THREE.Vector3(1.0, 0.8, 1.5).normalize();\n",
       "}\n",
       "\n",
       "// Screen-space fit: project the fit points onto the camera right/up axes and\n",
       "// frame their 2D bounding box. Recentering the target on that box keeps the\n",
       "// content centred even though arrows/labels extend it asymmetrically, and the\n",
       "// extent-based zoom is independent of cell size, axis ratios, and aspect.\n",
       "const look = viewDir.clone().negate();\n",
       "const camRight = new THREE.Vector3().crossVectors(look, viewUp).normalize();\n",
       "const camUp = new THREE.Vector3().crossVectors(camRight, look).normalize();\n",
       "// Orient occupancy-wedge spheres so their carve pole (+Y) points at the camera\n",
       "// (azimuthal spans then project as a proportional pie) and the wedge seam plane\n",
       "// is vertical (its normal is camRight), so a two-way split reads as a left/right\n",
       "// vertical seam matching the raster figure.\n",
       "const wedgeQuat = new THREE.Quaternion().setFromRotationMatrix(\n",
       "  new THREE.Matrix4().makeBasis(\n",
       "    new THREE.Vector3().crossVectors(viewDir, camRight), viewDir, camRight));\n",
       "for (const m of wedgeMeshes) m.quaternion.copy(wedgeQuat);\n",
       "let minU = Infinity, maxU = -Infinity, minV = Infinity, maxV = -Infinity;\n",
       "for (const p of fitPoints) {\n",
       "  const d = p.clone().sub(target);\n",
       "  const u = d.dot(camRight), v = d.dot(camUp);\n",
       "  minU = Math.min(minU, u); maxU = Math.max(maxU, u);\n",
       "  minV = Math.min(minV, v); maxV = Math.max(maxV, v);\n",
       "}\n",
       "target.addScaledVector(camRight, (minU + maxU) / 2).addScaledVector(camUp, (minV + maxV) / 2);\n",
       "// Reserve extra extent for the axis arrows (drawn beyond the cell, sized from\n",
       "// the zoom below) and their letters, so they stay inside the frame.\n",
       "const margin = SCENE.axes ? 1.24 : 1.06;\n",
       "const halfW = Math.max((maxU - minU) / 2 + fitPad, 0.5) * margin;\n",
       "const halfH = Math.max((maxV - minV) / 2 + fitPad, 0.5) * margin;\n",
       "const radius = Math.max(halfW, halfH);\n",
       "const far = radius * 100;\n",
       "const PERSPECTIVE_FOV_DEG = 30;\n",
       "const tanV = Math.tan((PERSPECTIVE_FOV_DEG * Math.PI) / 360);\n",
       "const distance = Math.max(halfH / tanV, halfW / (tanV * aspect)) * 1.05;\n",
       "const home = target.clone().add(viewDir.clone().multiplyScalar(distance));\n",
       "\n",
       "const perspective = new THREE.PerspectiveCamera(PERSPECTIVE_FOV_DEG, aspect, Math.max(distance * 0.01, 0.01), far);\n",
       "// Ortho frustum sized to the projected extent; reserve a top band for the\n",
       "// modebar/legend so the cell sits a little lower and clears them.\n",
       "const orthoHalfH = Math.max(halfH, halfW / aspect);\n",
       "const topBandPx = 84;\n",
       "// Reserve a band at the top for the modebar by growing the vertical extent and\n",
       "// shifting the centre up, keeping width/height === aspect so spheres stay round.\n",
       "// (Adding the band only to `top` skews the frustum and distorts the scene.)\n",
       "const band = (2 * orthoHalfH / height) * topBandPx;\n",
       "const halfV = orthoHalfH + band * 0.5;\n",
       "const ortho = new THREE.OrthographicCamera(\n",
       "  -halfV * aspect, halfV * aspect, halfV + band * 0.5, -halfV + band * 0.5, -far, far);\n",
       "perspective.up.copy(viewUp);\n",
       "ortho.up.copy(viewUp);\n",
       "perspective.position.copy(home);\n",
       "ortho.position.copy(home);\n",
       "let camera = ortho;\n",
       "let projection = 'orthographic';\n",
       "\n",
       "// Build the axis arrows now (after the fit) so every dimension is a fixed\n",
       "// fraction of the on-screen zoom (orthoHalfH): identical thickness, head\n",
       "// length, and overhang past the cell corner in every cell, regardless of size\n",
       "// or proportions. The cell-edge length is recovered per axis so the shaft still\n",
       "// reaches the cell corner before overhanging.\n",
       "if (SCENE.axes && SCENE.axes.arrows.length === 3) {\n",
       "  const Y_AXIS = new THREE.Vector3(0, 1, 0);\n",
       "  const origin = vec(SCENE.axes.origin);\n",
       "  const arrowVecs = SCENE.axes.arrows.map((a) => vec(a.vector));\n",
       "  const maxAxis = Math.max(...arrowVecs.map((v) => v.length()), 1e-3) / 1.3;\n",
       "  const shaftR = orthoHalfH * 0.009;\n",
       "  const headR = orthoHalfH * 0.028;\n",
       "  const headLen = orthoHalfH * 0.085;\n",
       "  // Overhang past the cell corner: at least clear the largest atom (corner\n",
       "  // atoms otherwise hide the head) plus the head length and a small gap, so the\n",
       "  // cap is always fully visible beyond any corner atom.\n",
       "  const overhang = Math.max(orthoHalfH * 0.09, fitPad + headLen + orthoHalfH * 0.04);\n",
       "  SCENE.axes.arrows.forEach((arrow, i) => {\n",
       "    const v = arrowVecs[i];\n",
       "    const dir = v.clone().normalize();\n",
       "    const axisLen = Math.max(v.length() - 0.3 * maxAxis, 1e-3);\n",
       "    const total = axisLen + overhang;\n",
       "    const shaftLen = Math.max(total - headLen, 1e-3);\n",
       "    const material = solidMat(col(arrow.colour));\n",
       "    const group = new THREE.Group();\n",
       "    const shaft = new THREE.Mesh(new THREE.CylinderGeometry(shaftR, shaftR, shaftLen, 16), material);\n",
       "    shaft.position.y = shaftLen / 2;\n",
       "    const head = new THREE.Mesh(new THREE.ConeGeometry(headR, headLen, 20), material);\n",
       "    head.position.y = shaftLen + headLen / 2;\n",
       "    group.add(shaft, head);\n",
       "    group.quaternion.setFromUnitVectors(Y_AXIS, dir);\n",
       "    group.position.copy(origin);\n",
       "    groups.axes.add(group);\n",
       "    const div = document.createElement('div');\n",
       "    div.className = 'cv-axis-letter';\n",
       "    div.textContent = arrow.letter;\n",
       "    div.style.color = rgbCss(arrow.colour);\n",
       "    const tag = new CSS2DObject(div);\n",
       "    tag.position.copy(origin).addScaledVector(dir, total + orthoHalfH * 0.05);\n",
       "    groups.axes.add(tag);\n",
       "  });\n",
       "}\n",
       "\n",
       "const controls = new OrbitControls(camera, renderer.domElement);\n",
       "controls.enableDamping = true;\n",
       "controls.dampingFactor = 0.08;\n",
       "controls.zoomSpeed = 20.0;   // larger wheel/touchpad zoom steps (tune to taste)\n",
       "controls.target.copy(target);\n",
       "controls.update();\n",
       "\n",
       "const setCamera = (next) => {\n",
       "  next.position.copy(camera.position);\n",
       "  next.up.copy(camera.up);\n",
       "  controls.object = next;\n",
       "  camera = next;\n",
       "  controls.update();\n",
       "};\n",
       "const viewAlong = (axisVector, upVector) => {\n",
       "  camera.up.copy(upVector);\n",
       "  camera.position.copy(target.clone().add(axisVector.clone().normalize().multiplyScalar(distance)));\n",
       "  controls.update();\n",
       "};\n",
       "const projectedOnViewPlane = (vector, normal) => (\n",
       "  vector.clone().addScaledVector(normal, -vector.dot(normal))\n",
       ");\n",
       "const viewAlongAxis = (axisIndex) => {\n",
       "  const viewAxis = cellBasis[axisIndex].clone().normalize();\n",
       "  const remaining = cellBasis\n",
       "    .map((axis, index) => ({ axis, index }))\n",
       "    .filter(({ index }) => index !== axisIndex)\n",
       "    .sort((left, right) => right.axis.length() - left.axis.length());\n",
       "  let horizontalSource = remaining[0];\n",
       "  let secondarySource = remaining[1];\n",
       "  let horizontal = projectedOnViewPlane(horizontalSource.axis.clone().normalize(), viewAxis);\n",
       "  if (horizontal.lengthSq() < 1e-8) {\n",
       "    [horizontalSource, secondarySource] = [secondarySource, horizontalSource];\n",
       "    horizontal = projectedOnViewPlane(horizontalSource.axis.clone().normalize(), viewAxis);\n",
       "  }\n",
       "  horizontal.normalize();\n",
       "  const secondary = projectedOnViewPlane(secondarySource.axis.clone().normalize(), viewAxis).normalize();\n",
       "  const cameraAxis = viewAxis.clone();\n",
       "  const look = cameraAxis.clone().negate();\n",
       "  const up = new THREE.Vector3().crossVectors(horizontal, look).normalize();\n",
       "  if (secondary.dot(up) < 0) {\n",
       "    cameraAxis.negate();\n",
       "    up.negate();\n",
       "  }\n",
       "  viewAlong(cameraAxis, up);\n",
       "};\n",
       "\n",
       "const iconButton = (parent, html, title, cls) => {\n",
       "  const el = document.createElement('button');\n",
       "  el.className = 'mb' + (cls ? ' ' + cls : '');\n",
       "  el.innerHTML = html;\n",
       "  el.title = title;\n",
       "  parent.appendChild(el);\n",
       "  return el;\n",
       "};\n",
       "\n",
       "const cameraGroup = document.createElement('div');\n",
       "cameraGroup.className = 'mb-grp';\n",
       "modebar.appendChild(cameraGroup);\n",
       "\n",
       "const projButton = iconButton(cameraGroup, ICONS.orthographic, 'Parallel (orthographic) view');\n",
       "projButton.addEventListener('click', () => {\n",
       "  projection = projection === 'orthographic' ? 'perspective' : 'orthographic';\n",
       "  setCamera(projection === 'orthographic' ? ortho : perspective);\n",
       "  projButton.innerHTML = ICONS[projection];\n",
       "  projButton.title = projection === 'orthographic' ? 'Parallel (orthographic) view' : 'Perspective view';\n",
       "});\n",
       "\n",
       "if (SCENE.axes) {\n",
       "  SCENE.axes.arrows.forEach((arrow, i) => {\n",
       "    const button = iconButton(cameraGroup, arrow.letter, `View along ${arrow.letter}`, 'lt');\n",
       "    button.style.color = rgbCss(arrow.colour);\n",
       "    button.addEventListener('click', () => viewAlongAxis(i));\n",
       "  });\n",
       "}\n",
       "\n",
       "const homeButton = iconButton(cameraGroup, ICONS.home, 'Reset view');\n",
       "homeButton.addEventListener('click', () => {\n",
       "  perspective.zoom = 1;\n",
       "  perspective.updateProjectionMatrix();\n",
       "  ortho.zoom = 1;\n",
       "  ortho.updateProjectionMatrix();\n",
       "  camera.up.copy(viewUp);\n",
       "  camera.position.copy(home);\n",
       "  controls.target.copy(target);\n",
       "  controls.update();\n",
       "});\n",
       "\n",
       "const featureGroup = document.createElement('div');\n",
       "featureGroup.className = 'mb-grp';\n",
       "let hasFeatureToggle = false;\n",
       "// Atoms control: one button cycling all atoms -> asymmetric unit only -> no\n",
       "// atoms. The asymmetric-unit step is offered only when the scene actually\n",
       "// contains symmetry-equivalent copies to hide; otherwise it is a plain\n",
       "// show/hide toggle.\n",
       "const hasNonAU = SCENE.atoms.some((a) => !a.asymmetric)\n",
       "  || SCENE.wedgeSpheres.some((s) => !s.asymmetric)\n",
       "  || SCENE.ellipsoids.some((e) => !e.asymmetric);\n",
       "const ATOM_STATES = hasNonAU\n",
       "  ? [\n",
       "      { key: 'all', icon: ICONS.atoms, on: true },\n",
       "      { key: 'asym', icon: ICONS.asymmetricUnit, on: true },\n",
       "      { key: 'none', icon: ICONS.atomsOff, on: false },\n",
       "    ]\n",
       "  : [\n",
       "      { key: 'all', icon: ICONS.atoms, on: true },\n",
       "      { key: 'none', icon: ICONS.atomsOff, on: false },\n",
       "    ];\n",
       "const ATOMS_TOOLTIP = hasNonAU\n",
       "  ? 'Atoms: all / asymmetric unit / none'\n",
       "  : 'Atoms: show / hide';\n",
       "const addAtomsControl = (parent) => {\n",
       "  let index = groups.atoms.visible ? 0 : ATOM_STATES.length - 1;\n",
       "  const start = ATOM_STATES[index];\n",
       "  const button = iconButton(parent, start.icon, ATOMS_TOOLTIP, 'tog' + (start.on ? ' on' : ''));\n",
       "  button.addEventListener('click', () => {\n",
       "    index = (index + 1) % ATOM_STATES.length;\n",
       "    const state = ATOM_STATES[index];\n",
       "    groups.atoms.visible = state.key !== 'none';\n",
       "    groups.atoms.children.forEach((m) => {\n",
       "      m.visible = state.key !== 'asym' || !!m.userData.asymmetric;\n",
       "    });\n",
       "    // CSS2D atom labels ignore ancestor visibility, so match them to the group.\n",
       "    groups.atoms.traverse((o) => { if (o.isCSS2DObject) o.visible = groups.atoms.visible; });\n",
       "    button.innerHTML = state.icon;\n",
       "    button.classList.toggle('on', state.on);\n",
       "  });\n",
       "};\n",
       "for (const name of ['atoms', 'labels', 'bonds', 'cell', 'axes', 'moments']) {\n",
       "  if (!groups[name] || groups[name].children.length === 0) continue;\n",
       "  hasFeatureToggle = true;\n",
       "  if (name === 'atoms') {\n",
       "    addAtomsControl(featureGroup);\n",
       "    continue;\n",
       "  }\n",
       "  const visible = groups[name].visible;\n",
       "  const button = iconButton(featureGroup, ICONS[name], name.charAt(0).toUpperCase() + name.slice(1), 'tog' + (visible ? ' on' : ''));\n",
       "  button.addEventListener('click', () => {\n",
       "    const next = !groups[name].visible;\n",
       "    groups[name].visible = next;\n",
       "    // CSS2D labels (a/b/c, atom labels) ignore ancestor visibility in the\n",
       "    // CSS2DRenderer, so toggle them explicitly to match the meshes.\n",
       "    groups[name].traverse((o) => { if (o.isCSS2DObject) o.visible = next; });\n",
       "    button.classList.toggle('on', next);\n",
       "  });\n",
       "}\n",
       "if (hasFeatureToggle) {\n",
       "  modebar.appendChild(featureGroup);\n",
       "}\n",
       "\n",
       "const legendSwatches = [];\n",
       "const addLegendItem = (background, text, symbol) => {\n",
       "  const item = document.createElement('div');\n",
       "  const swatch = document.createElement('span');\n",
       "  swatch.className = 'sw';\n",
       "  swatch.style.background = background;\n",
       "  item.appendChild(swatch);\n",
       "  item.appendChild(document.createTextNode(text));\n",
       "  legend.appendChild(item);\n",
       "  if (symbol) legendSwatches.push({ symbol, el: swatch });\n",
       "};\n",
       "\n",
       "// One solid swatch per distinct element, mirroring the PDF report legend.\n",
       "for (const entry of SCENE.legend) addLegendItem(rgbCss(entry.colour), entry.symbol, entry.symbol);\n",
       "\n",
       "if (!legend.children.length) legend.style.display = 'none';\n",
       "\n",
       "// Colour-scheme selector: recolours atoms and legend swatches live. The\n",
       "// crystallography stays in Python; the JS only picks a pre-computed palette.\n",
       "const schemeNames = Object.keys(PALETTES);\n",
       "if (schemeNames.length > 1 && SCENE.legend.length) {\n",
       "  const matches = (a, b) => a && b && a[0] === b[0] && a[1] === b[1] && a[2] === b[2];\n",
       "  const first = SCENE.legend[0];\n",
       "  let current = schemeNames.find((name) => matches(PALETTES[name][first.symbol], first.colour))\n",
       "    || schemeNames[0];\n",
       "  const applyScheme = (name) => {\n",
       "    const palette = PALETTES[name] || {};\n",
       "    const recolor = (obj) => {\n",
       "      if (obj.isMesh && palette[obj.userData.element]) {\n",
       "        obj.material.color.copy(col(palette[obj.userData.element]));\n",
       "      }\n",
       "    };\n",
       "    groups.atoms.traverse(recolor);\n",
       "    groups.bonds.traverse(recolor);\n",
       "    for (const { symbol, el } of legendSwatches) {\n",
       "      if (palette[symbol]) el.style.background = rgbCss(palette[symbol]);\n",
       "    }\n",
       "  };\n",
       "  const select = document.createElement('select');\n",
       "  select.className = 'mb-select';\n",
       "  select.title = 'Colour scheme';\n",
       "  for (const name of schemeNames) {\n",
       "    const opt = document.createElement('option');\n",
       "    opt.value = name;\n",
       "    opt.textContent = name;\n",
       "    opt.selected = name === current;\n",
       "    select.appendChild(opt);\n",
       "  }\n",
       "  select.addEventListener('change', () => applyScheme(select.value));\n",
       "  const schemeGroup = document.createElement('div');\n",
       "  schemeGroup.className = 'mb-grp';\n",
       "  schemeGroup.appendChild(select);\n",
       "  modebar.appendChild(schemeGroup);\n",
       "}\n",
       "\n",
       "const downloadButton = iconButton(downloadHost, ICONS.camera, 'Download PNG');\n",
       "downloadButton.addEventListener('click', () => {\n",
       "  renderer.render(scene, camera);\n",
       "  const link = document.createElement('a');\n",
       "  link.download = 'structure.png';\n",
       "  link.href = renderer.domElement.toDataURL('image/png');\n",
       "  link.click();\n",
       "});\n",
       "\n",
       "const raycaster = new THREE.Raycaster();\n",
       "const pointer = new THREE.Vector2();\n",
       "renderer.domElement.addEventListener('pointermove', (event) => {\n",
       "  const rect = renderer.domElement.getBoundingClientRect();\n",
       "  pointer.x = ((event.clientX - rect.left) / rect.width) * 2 - 1;\n",
       "  pointer.y = -((event.clientY - rect.top) / rect.height) * 2 + 1;\n",
       "  raycaster.setFromCamera(pointer, camera);\n",
       "  const hits = raycaster.intersectObjects(groups.atoms.children, false);\n",
       "  const labelled = hits.find((hit) => hit.object.userData.label);\n",
       "  if (labelled) {\n",
       "    tooltip.textContent = labelled.object.userData.label;\n",
       "    tooltip.style.left = `${event.clientX - rect.left + 8}px`;\n",
       "    tooltip.style.top = `${event.clientY - rect.top + 8}px`;\n",
       "    tooltip.style.display = 'block';\n",
       "  } else {\n",
       "    tooltip.style.display = 'none';\n",
       "  }\n",
       "});\n",
       "\n",
       "const resize = () => {\n",
       "  width = host.clientWidth || width;\n",
       "  height = host.clientHeight || height;\n",
       "  const ratio = width / height;\n",
       "  perspective.aspect = ratio;\n",
       "  perspective.updateProjectionMatrix();\n",
       "  // Recompute the ortho frustum for the new aspect exactly as on setup, so\n",
       "  // width/height === ratio (spheres stay round) and the modebar band is kept.\n",
       "  const oh = Math.max(halfH, halfW / ratio);\n",
       "  const reserve = (2 * oh / height) * topBandPx;\n",
       "  const hv = oh + reserve * 0.5;\n",
       "  ortho.left = -hv * ratio;\n",
       "  ortho.right = hv * ratio;\n",
       "  ortho.top = hv + reserve * 0.5;\n",
       "  ortho.bottom = -hv + reserve * 0.5;\n",
       "  ortho.updateProjectionMatrix();\n",
       "  renderer.setSize(width, height);\n",
       "  labelRenderer.setSize(width, height);\n",
       "};\n",
       "if (window.ResizeObserver) new ResizeObserver(resize).observe(host);\n",
       "\n",
       "const hostTheme = () => {\n",
       "  const scheme = (document.body && document.body.getAttribute('data-md-color-scheme'))\n",
       "    || (document.documentElement && document.documentElement.getAttribute('data-md-color-scheme'));\n",
       "  if (scheme === 'slate') return 'dark';\n",
       "  if (scheme === 'default') return 'light';\n",
       "  const jpLight = (document.body && document.body.getAttribute('data-jp-theme-light'))\n",
       "    || (document.documentElement && document.documentElement.getAttribute('data-jp-theme-light'));\n",
       "  if (jpLight === 'true') return 'light';\n",
       "  if (jpLight === 'false') return 'dark';\n",
       "  return INITIAL_THEME;\n",
       "};\n",
       "\n",
       "const applyTheme = (name) => {\n",
       "  const themeName = name === 'dark' ? 'dark' : 'light';\n",
       "  root.classList.toggle('cv-theme-dark', themeName === 'dark');\n",
       "  root.classList.toggle('cv-theme-light', themeName !== 'dark');\n",
       "  cellMaterial.color.setStyle(cssVar('--cv-scene-fg', 'rgb(34, 34, 34)'));\n",
       "  // Paint the scene background via the renderer clear color so it always\n",
       "  // matches the Plotly axes-rectangle background, independent of any\n",
       "  // host-page CSS that might otherwise leave the canvas transparent.\n",
       "  const sceneBg = themeName === 'dark' ? 'rgb(33, 33, 33)' : 'rgb(255, 255, 255)';\n",
       "  renderer.setClearColor(new THREE.Color().setStyle(sceneBg), 1);\n",
       "};\n",
       "\n",
       "root.__crysviewApplyTheme = applyTheme;\n",
       "applyTheme(hostTheme());\n",
       "if (window.MutationObserver) {\n",
       "  const themeObserver = new MutationObserver(() => applyTheme(hostTheme()));\n",
       "  themeObserver.observe(document.documentElement, {\n",
       "    attributes: true,\n",
       "    attributeFilter: ['data-md-color-scheme', 'data-jp-theme-light', 'data-jp-theme-name'],\n",
       "  });\n",
       "  if (document.body) {\n",
       "    themeObserver.observe(document.body, {\n",
       "      attributes: true,\n",
       "      attributeFilter: ['data-md-color-scheme', 'data-jp-theme-light', 'data-jp-theme-name'],\n",
       "    });\n",
       "  }\n",
       "}\n",
       "\n",
       "// Camera-relative light directions (right, up, toward-camera), matching the\n",
       "// raster figure's _LIGHT / _FILL so both engines shade atoms identically.\n",
       "const KEY_LOCAL = [0.3, 0.45, 0.85];\n",
       "const FILL_LOCAL = [-0.4, -0.2, -0.45];\n",
       "const keyDir = new THREE.Vector3();\n",
       "const fillDir = new THREE.Vector3();\n",
       "const placeLight = (light, local, dir) => {\n",
       "  const m = camera.matrixWorld.elements;\n",
       "  dir.set(\n",
       "    local[0] * m[0] + local[1] * m[4] + local[2] * m[8],\n",
       "    local[0] * m[1] + local[1] * m[5] + local[2] * m[9],\n",
       "    local[0] * m[2] + local[1] * m[6] + local[2] * m[10],\n",
       "  ).normalize();\n",
       "  light.position.copy(target).addScaledVector(dir, radius * 5);\n",
       "  light.target.position.copy(target);\n",
       "};\n",
       "\n",
       "const animate = () => {\n",
       "  requestAnimationFrame(animate);\n",
       "  controls.update();\n",
       "  placeLight(key, KEY_LOCAL, keyDir);\n",
       "  placeLight(fill, FILL_LOCAL, fillDir);\n",
       "  renderer.render(scene, camera);\n",
       "  labelRenderer.render(scene, camera);\n",
       "};\n",
       "animate();\n",
       "const cvLoading = root.querySelector('.cv-loading');\n",
       "if (cvLoading) cvLoading.remove();\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the crystal structure\n",
    "project.display.structure(struct_name='lbco')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10",
   "metadata": {},
   "source": [
    "## 🔬 Define Experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "11",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-04T16:13:27.020075Z",
     "iopub.status.busy": "2026-06-04T16:13:27.019911Z",
     "iopub.status.idle": "2026-06-04T16:13:27.132124Z",
     "shell.execute_reply": "2026-06-04T16:13:27.131475Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;36mGetting data\u001b[0m\u001b[1;36m...\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data #\u001b[1;36m2\u001b[0m: La0.5Ba0.5CoO3, HRPT \u001b[1m(\u001b[0mPSI\u001b[1m)\u001b[0m, \u001b[1;36m300\u001b[0m K\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Data #\u001b[1;36m2\u001b[0m downloaded to \u001b[32m'../../../data/ed-2.cif'\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# Download CIF file from repository\n",
    "expt_path = ed.download_data(id=2, destination='data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "12",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-04T16:13:27.133681Z",
     "iopub.status.busy": "2026-06-04T16:13:27.133497Z",
     "iopub.status.idle": "2026-06-04T16:13:28.471843Z",
     "shell.execute_reply": "2026-06-04T16:13:28.470998Z"
    }
   },
   "outputs": [],
   "source": [
    "# Add experiment from downloaded CIF\n",
    "project.experiments.add_from_cif_path(expt_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13",
   "metadata": {},
   "source": [
    "## 🚀 Perform Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14",
   "metadata": {},
   "source": [
    "### Without Constraints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "15",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-04T16:13:28.473637Z",
     "iopub.status.busy": "2026-06-04T16:13:28.473424Z",
     "iopub.status.idle": "2026-06-04T16:13:43.468968Z",
     "shell.execute_reply": "2026-06-04T16:13:43.468119Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function() {\n",
       "  const button = document.getElementById('ed-fit-stop-b04856c839814c70a8ac2fc8a48f46a8-button');\n",
       "  const status = document.getElementById('ed-fit-stop-b04856c839814c70a8ac2fc8a48f46a8-status');\n",
       "  const kernelId = '';\n",
       "  if (!button) {\n",
       "    return;\n",
       "  }\n",
       "\n",
       "  function setStatus(text) {\n",
       "    if (status) {\n",
       "      status.textContent = text;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function pageConfig() {\n",
       "    const element = document.getElementById('jupyter-config-data');\n",
       "    if (!element || !element.textContent) {\n",
       "      return {};\n",
       "    }\n",
       "    try {\n",
       "      return JSON.parse(element.textContent);\n",
       "    } catch (error) {\n",
       "      return {};\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function baseUrl(config) {\n",
       "    const configured = config.baseUrl || config.base_url ||\n",
       "      (window.Jupyter && Jupyter.notebook && Jupyter.notebook.base_url);\n",
       "    if (configured) {\n",
       "      return configured.endsWith('/') ? configured : configured + '/';\n",
       "    }\n",
       "    const markers = ['/lab/', '/notebooks/', '/tree/'];\n",
       "    for (const marker of markers) {\n",
       "      const index = window.location.pathname.indexOf(marker);\n",
       "      if (index >= 0) {\n",
       "        return window.location.pathname.slice(0, index + 1);\n",
       "      }\n",
       "    }\n",
       "    return '/';\n",
       "  }\n",
       "\n",
       "  function token(config) {\n",
       "    return config.token || new URLSearchParams(window.location.search).get('token') || '';\n",
       "  }\n",
       "\n",
       "  function cookie(name) {\n",
       "    const prefix = name + '=';\n",
       "    for (const part of document.cookie.split(';')) {\n",
       "      const trimmed = part.trim();\n",
       "      if (trimmed.startsWith(prefix)) {\n",
       "        return decodeURIComponent(trimmed.slice(prefix.length));\n",
       "      }\n",
       "    }\n",
       "    return '';\n",
       "  }\n",
       "\n",
       "  function notebookPath() {\n",
       "    const decoded = decodeURIComponent(window.location.pathname);\n",
       "    const markers = ['/lab/tree/', '/notebooks/', '/tree/'];\n",
       "    for (const marker of markers) {\n",
       "      const index = decoded.indexOf(marker);\n",
       "      if (index >= 0) {\n",
       "        return decoded.slice(index + marker.length);\n",
       "      }\n",
       "    }\n",
       "    return '';\n",
       "  }\n",
       "\n",
       "  async function kernelFromSessions(config) {\n",
       "    const url = new URL(baseUrl(config) + 'api/sessions', window.location.origin);\n",
       "    const authToken = token(config);\n",
       "    if (authToken) {\n",
       "      url.searchParams.set('token', authToken);\n",
       "    }\n",
       "    const response = await fetch(url, {credentials: 'same-origin'});\n",
       "    if (!response.ok) {\n",
       "      return '';\n",
       "    }\n",
       "    const sessions = await response.json();\n",
       "    const path = notebookPath();\n",
       "    const session = sessions.find((item) => item.path === path) || sessions[0];\n",
       "    return session && session.kernel ? session.kernel.id : '';\n",
       "  }\n",
       "\n",
       "  async function interruptKernel(config, resolvedKernelId) {\n",
       "    const url = new URL(\n",
       "      baseUrl(config) + 'api/kernels/' + resolvedKernelId + '/interrupt',\n",
       "      window.location.origin\n",
       "    );\n",
       "    const authToken = token(config);\n",
       "    if (authToken) {\n",
       "      url.searchParams.set('token', authToken);\n",
       "    }\n",
       "    const xsrfToken = cookie('_xsrf');\n",
       "    const headers = {};\n",
       "    if (xsrfToken) {\n",
       "      headers['X-XSRFToken'] = xsrfToken;\n",
       "    }\n",
       "    const response = await fetch(url, {\n",
       "      method: 'POST',\n",
       "      credentials: 'same-origin',\n",
       "      headers: headers\n",
       "    });\n",
       "    return response.ok;\n",
       "  }\n",
       "\n",
       "  button.addEventListener('click', async function() {\n",
       "    button.disabled = true;\n",
       "    setStatus('Stopping...');\n",
       "    const config = pageConfig();\n",
       "    try {\n",
       "      const resolvedKernelId = kernelId || await kernelFromSessions(config);\n",
       "      if (!resolvedKernelId) {\n",
       "        throw new Error('Could not resolve the current kernel id.');\n",
       "      }\n",
       "      const interrupted = await interruptKernel(config, resolvedKernelId);\n",
       "      if (!interrupted) {\n",
       "        throw new Error('Jupyter Server rejected the interrupt request.');\n",
       "      }\n",
       "      setStatus('Interrupt sent...');\n",
       "    } catch (error) {\n",
       "      button.disabled = false;\n",
       "      setStatus('Use Kernel > Interrupt to stop this fit.');\n",
       "    }\n",
       "  });\n",
       "})();\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;36mStandard fitting\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📋 Using experiment 🔬 \u001b[32m'hrpt'\u001b[0m for \u001b[32m'single'\u001b[0m fitting\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🚀 Starting fit process with \u001b[32m'lmfit \u001b[0m\u001b[32m(\u001b[0m\u001b[32mleastsq\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[33m...\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📈 Goodness-of-fit progress:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>.ed-activity-stack {display: flex;flex-direction: column;align-items: flex-start;gap: 0.35rem;margin-top: 0.5rem;}.ed-activity {display: inline-flex;align-items: center;gap: 0.45rem;color: #d97706;font-size: 0.95rem;font-weight: 400;line-height: 1.1;}.ed-activity-label {font-family: var(--jp-ui-font-family, -apple-system, BlinkMacSystemFont, \"Segoe UI\", sans-serif);}.ed-activity-pre {margin: 0;font-family: ui-monospace, SFMono-Regular, Menlo, monospace;white-space: pre-wrap;}.ed-activity-spinner {font-family: ui-monospace, SFMono-Regular, Menlo, monospace;}.ed-activity-spinner::before {animation: ed-activity-frames 1.0s steps(1) infinite;content: \"⠋\";display: inline-block;width: 1ch;}@keyframes ed-activity-frames { 0% { content: \"⠋\"; } 10% { content: \"⠙\"; } 20% { content: \"⠹\"; } 30% { content: \"⠸\"; } 40% { content: \"⠼\"; } 50% { content: \"⠴\"; } 60% { content: \"⠦\"; } 70% { content: \"⠧\"; } 80% { content: \"⠇\"; } 90% { content: \"⠏\"; } 100% { content: \"⠋\"; } }</style><div class=\"ed-activity-stack\"><table style=\"border: 1px solid rgba(128, 128, 128, 0.4); border-collapse: collapse; margin-top: 0.5em; margin-left: 0.5em\"><thead><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold\"></th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: center\">iteration</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: center\">time (s)</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: center\">χ²</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: center\">change / status</th></tr></thead><tbody><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">1</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">1</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">0.35</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">165.50</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\"></td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">2</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">28</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">1.80</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">33.67</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">79.7% ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">3</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">45</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">2.71</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">10.85</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">67.8% ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">4</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">63</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">3.68</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">6.43</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">40.7% ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">5</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">81</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">4.66</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">3.33</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">48.2% ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">6</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">98</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">5.58</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">2.23</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">33.2% ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">7</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">116</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">6.84</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">1.91</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">14.5% ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">8</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">133</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">7.75</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">1.50</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">21.1% ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">9</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">150</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">8.66</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">1.45</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">3.6% ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">10</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">167</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">9.59</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">1.34</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">7.7% ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">11</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">185</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">10.56</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">1.29</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">3.4% ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">12</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">276</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">14.95</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\">1.29</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: center\"></td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏆 Best goodness-of-fit \u001b[1m(\u001b[0mreduced χ²\u001b[1m)\u001b[0m is \u001b[1;36m1.29\u001b[0m at iteration \u001b[1;36m261\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Fitting complete.\n"
     ]
    }
   ],
   "source": [
    "# Start refinement. All parameters, which have standard uncertainties\n",
    "# in the input CIF files, are refined by default.\n",
    "project.analysis.fit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "16",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-04T16:13:43.470635Z",
     "iopub.status.busy": "2026-06-04T16:13:43.470403Z",
     "iopub.status.idle": "2026-06-04T16:13:43.787116Z",
     "shell.execute_reply": "2026-06-04T16:13:43.786360Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "⚙️ Settings used:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table style=\"border: 1px solid rgba(128, 128, 128, 0.4); border-collapse: collapse; margin-top: 0.5em; margin-left: 0.5em\"><thead><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold\"></th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">Name</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: right\">Value</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">Description</th></tr></thead><tbody><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">1</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">max_iterations</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Maximum solver iterations.</td></tr></tbody></table>"
      ],
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       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📋 Least-squares fit results:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table style=\"border: 1px solid rgba(128, 128, 128, 0.4); border-collapse: collapse; margin-top: 0.5em; margin-left: 0.5em\"><thead><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold\"></th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">Metric</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: right\">Value</th></tr></thead><tbody><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">1</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">🧪 Minimizer</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">lmfit (leastsq)</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">2</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">✅ Overall status</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">success</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">3</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">⏱️ Fitting time (seconds)</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">14.95</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">4</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">🔁 Iterations</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">273</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">5</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">📏 Goodness-of-fit (reduced χ²)</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.29</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">6</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">📏 R-factor (Rf, %)</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">5.62</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">7</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">📏 R-factor squared (Rf², %)</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">5.25</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">8</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">📏 Weighted R-factor (wR, %)</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">4.40</td></tr></tbody></table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📈 Refined parameters:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table style=\"border: 1px solid rgba(128, 128, 128, 0.4); border-collapse: collapse; margin-top: 0.5em; margin-left: 0.5em\"><thead><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold\"></th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">datablock</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">category</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">entry</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">parameter</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">units</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: right\">start</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: right\">value</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: right\">s.u.</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: right\">change</th></tr></thead><tbody><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">1</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">lbco</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">cell</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">length_a</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Å</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">3.8800</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">3.8909</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.28 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">2</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">lbco</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">atom_site</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">La</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">adp_iso</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Ų</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.5000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.5051</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right; color: red\">6011.8674</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.02 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">3</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">lbco</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">atom_site</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Ba</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">adp_iso</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Ų</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.5000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.5052</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right; color: red\">9770.9689</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.04 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">4</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">lbco</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">atom_site</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Co</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">adp_iso</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Ų</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.5000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.2371</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0611</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">52.59 % ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">5</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">lbco</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">atom_site</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">O</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">adp_iso</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Ų</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.5000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.3935</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0168</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">178.70 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">6</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">linked_phases</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">lbco</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">scale</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">10.0000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">9.1349</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0643</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">8.65 % ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">7</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">peak</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">broad_gauss_u</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">deg²</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.1000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0816</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0031</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">18.44 % ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">8</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">peak</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">broad_gauss_v</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">deg²</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">-0.1000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">-0.1159</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0067</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">15.90 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">9</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">peak</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">broad_gauss_w</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">deg²</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.1000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.1204</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0033</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">20.45 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">10</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">peak</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">broad_lorentz_y</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">deg</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.1000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0844</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0021</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">15.57 % ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">11</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">instrument</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">twotheta_offset</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">deg</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.6000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.6226</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0010</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">3.76 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">12</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">background</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">1</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">y</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">170.0000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">168.4242</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.3977</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.93 % ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">13</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">background</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">2</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">y</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">170.0000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">164.3715</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.0025</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">3.31 % ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">14</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">background</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">3</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">y</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">170.0000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">166.8870</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.7391</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.83 % ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">15</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">background</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">4</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">y</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">170.0000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">175.3977</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.6586</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">3.18 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">16</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">background</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">5</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">y</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">170.0000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">174.3027</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.9113</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">2.53 % ↑</td></tr></tbody></table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<div style=\"font-size:smaller;opacity:0.7;font-family:monospace;white-space:pre\">  • start      = parameter value before refinement<br>  • value      = refined value from least-squares minimization<br>  • s.u.       = standard uncertainty (one sigma), from the covariance matrix<br>  • change     = relative change from start, in %; ↑ = increase, ↓ = decrease</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
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     },
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    {
     "data": {
      "text/html": [
       "<div style=\"font-size:smaller;opacity:0.7;font-family:monospace;white-space:pre\">⚠️ <span style=\"color:#dc3545\">Red s.u.:</span> exceeds the refined value (consider adding constraints)</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show fit results summary\n",
    "project.display.fit.results()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "17",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-04T16:13:43.788878Z",
     "iopub.status.busy": "2026-06-04T16:13:43.788702Z",
     "iopub.status.idle": "2026-06-04T16:13:44.644304Z",
     "shell.execute_reply": "2026-06-04T16:13:44.643540Z"
    }
   },
   "outputs": [
    {
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       "                (function() {\n",
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       "                        document.body.classList.contains('theme-dark') ||\n",
       "                        document.body.classList.contains('vscode-dark')) {\n",
       "                        isDark = true;\n",
       "                    }\n",
       "\n",
       "                    // Check theme attribute\n",
       "                    var themeAttr = document.body.getAttribute('data-jp-theme-name');\n",
       "                    if (themeAttr && themeAttr.includes('dark')) {\n",
       "                        isDark = true;\n",
       "                    }\n",
       "\n",
       "                    // Check computed background color\n",
       "                    var notebookEl = document.querySelector('.jp-Notebook') || \n",
       "                                   document.querySelector('.notebook_app') ||\n",
       "                                   document.body;\n",
       "                    if (notebookEl) {\n",
       "                        var bgColor = window.getComputedStyle(notebookEl).backgroundColor;\n",
       "                        var rgb = bgColor.match(/\\d+/g);\n",
       "                        if (rgb && rgb.length >= 3) {\n",
       "                            var brightness = (parseInt(rgb[0]) + parseInt(rgb[1]) + parseInt(rgb[2])) / 3;\n",
       "                            if (brightness < 128) {\n",
       "                                isDark = true;\n",
       "                            }\n",
       "                        }\n",
       "                    }\n",
       "\n",
       "                    // Store result\n",
       "                    if (typeof IPython !== 'undefined' && IPython.notebook && IPython.notebook.kernel) {\n",
       "                        IPython.notebook.kernel.execute('_jupyter_dark_detect_result = ' + isDark);\n",
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       "                IPython.notebook.kernel.execute(\"_jupyter_dark_detect_result = \" + \n",
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       "                     document.body.classList.contains('jp-mod-dark') ||\n",
       "                     (document.body.getAttribute('data-jp-theme-name') && \n",
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      "application/javascript": [
       "\n",
       "                (function() {\n",
       "                    var isDark = false;\n",
       "\n",
       "                    // Check JupyterLab theme\n",
       "                    if (document.body.classList.contains('jp-mod-dark') || \n",
       "                        document.body.classList.contains('theme-dark') ||\n",
       "                        document.body.classList.contains('vscode-dark')) {\n",
       "                        isDark = true;\n",
       "                    }\n",
       "\n",
       "                    // Check theme attribute\n",
       "                    var themeAttr = document.body.getAttribute('data-jp-theme-name');\n",
       "                    if (themeAttr && themeAttr.includes('dark')) {\n",
       "                        isDark = true;\n",
       "                    }\n",
       "\n",
       "                    // Check computed background color\n",
       "                    var notebookEl = document.querySelector('.jp-Notebook') || \n",
       "                                   document.querySelector('.notebook_app') ||\n",
       "                                   document.body;\n",
       "                    if (notebookEl) {\n",
       "                        var bgColor = window.getComputedStyle(notebookEl).backgroundColor;\n",
       "                        var rgb = bgColor.match(/\\d+/g);\n",
       "                        if (rgb && rgb.length >= 3) {\n",
       "                            var brightness = (parseInt(rgb[0]) + parseInt(rgb[1]) + parseInt(rgb[2])) / 3;\n",
       "                            if (brightness < 128) {\n",
       "                                isDark = true;\n",
       "                            }\n",
       "                        }\n",
       "                    }\n",
       "\n",
       "                    // Store result\n",
       "                    if (typeof IPython !== 'undefined' && IPython.notebook && IPython.notebook.kernel) {\n",
       "                        IPython.notebook.kernel.execute('_jupyter_dark_detect_result = ' + isDark);\n",
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       "                IPython.notebook.kernel.execute(\"_jupyter_dark_detect_result = \" + \n",
       "                    (document.body.classList.contains('theme-dark') || \n",
       "                     document.body.classList.contains('jp-mod-dark') ||\n",
       "                     (document.body.getAttribute('data-jp-theme-name') && \n",
       "                      document.body.getAttribute('data-jp-theme-name').includes('dark'))));\n",
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    {
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       "\n",
       "                (function() {\n",
       "                    var isDark = false;\n",
       "\n",
       "                    // Check JupyterLab theme\n",
       "                    if (document.body.classList.contains('jp-mod-dark') || \n",
       "                        document.body.classList.contains('theme-dark') ||\n",
       "                        document.body.classList.contains('vscode-dark')) {\n",
       "                        isDark = true;\n",
       "                    }\n",
       "\n",
       "                    // Check theme attribute\n",
       "                    var themeAttr = document.body.getAttribute('data-jp-theme-name');\n",
       "                    if (themeAttr && themeAttr.includes('dark')) {\n",
       "                        isDark = true;\n",
       "                    }\n",
       "\n",
       "                    // Check computed background color\n",
       "                    var notebookEl = document.querySelector('.jp-Notebook') || \n",
       "                                   document.querySelector('.notebook_app') ||\n",
       "                                   document.body;\n",
       "                    if (notebookEl) {\n",
       "                        var bgColor = window.getComputedStyle(notebookEl).backgroundColor;\n",
       "                        var rgb = bgColor.match(/\\d+/g);\n",
       "                        if (rgb && rgb.length >= 3) {\n",
       "                            var brightness = (parseInt(rgb[0]) + parseInt(rgb[1]) + parseInt(rgb[2])) / 3;\n",
       "                            if (brightness < 128) {\n",
       "                                isDark = true;\n",
       "                            }\n",
       "                        }\n",
       "                    }\n",
       "\n",
       "                    // Store result\n",
       "                    if (typeof IPython !== 'undefined' && IPython.notebook && IPython.notebook.kernel) {\n",
       "                        IPython.notebook.kernel.execute('_jupyter_dark_detect_result = ' + isDark);\n",
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       "                IPython.notebook.kernel.execute(\"_jupyter_dark_detect_result = \" + \n",
       "                    (document.body.classList.contains('theme-dark') || \n",
       "                     document.body.classList.contains('jp-mod-dark') ||\n",
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       "                      document.body.getAttribute('data-jp-theme-name').includes('dark'))));\n",
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    {
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      "application/javascript": [
       "\n",
       "                (function() {\n",
       "                    var isDark = false;\n",
       "\n",
       "                    // Check JupyterLab theme\n",
       "                    if (document.body.classList.contains('jp-mod-dark') || \n",
       "                        document.body.classList.contains('theme-dark') ||\n",
       "                        document.body.classList.contains('vscode-dark')) {\n",
       "                        isDark = true;\n",
       "                    }\n",
       "\n",
       "                    // Check theme attribute\n",
       "                    var themeAttr = document.body.getAttribute('data-jp-theme-name');\n",
       "                    if (themeAttr && themeAttr.includes('dark')) {\n",
       "                        isDark = true;\n",
       "                    }\n",
       "\n",
       "                    // Check computed background color\n",
       "                    var notebookEl = document.querySelector('.jp-Notebook') || \n",
       "                                   document.querySelector('.notebook_app') ||\n",
       "                                   document.body;\n",
       "                    if (notebookEl) {\n",
       "                        var bgColor = window.getComputedStyle(notebookEl).backgroundColor;\n",
       "                        var rgb = bgColor.match(/\\d+/g);\n",
       "                        if (rgb && rgb.length >= 3) {\n",
       "                            var brightness = (parseInt(rgb[0]) + parseInt(rgb[1]) + parseInt(rgb[2])) / 3;\n",
       "                            if (brightness < 128) {\n",
       "                                isDark = true;\n",
       "                            }\n",
       "                        }\n",
       "                    }\n",
       "\n",
       "                    // Store result\n",
       "                    if (typeof IPython !== 'undefined' && IPython.notebook && IPython.notebook.kernel) {\n",
       "                        IPython.notebook.kernel.execute('_jupyter_dark_detect_result = ' + isDark);\n",
       "                    }\n",
       "                })();\n",
       "            "
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       "<IPython.core.display.HTML object>"
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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show parameter correlations\n",
    "project.display.fit.correlations()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18",
   "metadata": {},
   "source": [
    "### With Constraints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "19",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-04T16:13:44.645863Z",
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     "shell.execute_reply": "2026-06-04T16:13:44.649094Z"
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   "source": [
    "# As can be seen from the parameter-correlation plot, the isotropic\n",
    "# displacement parameters of La and Ba are highly correlated. Because\n",
    "# La and Ba share the same mixed-occupancy site, their contributions to\n",
    "# the neutron diffraction pattern are difficult to separate, especially\n",
    "# since their coherent scattering lengths are not very different.\n",
    "# Therefore, it is necessary to constrain them to be equal. First we\n",
    "# define aliases and then use them to create a constraint.\n",
    "project.analysis.aliases.create(\n",
    "    label='biso_La',\n",
    "    param=project.structures['lbco'].atom_sites['La'].adp_iso,\n",
    ")\n",
    "project.analysis.aliases.create(\n",
    "    label='biso_Ba',\n",
    "    param=project.structures['lbco'].atom_sites['Ba'].adp_iso,\n",
    ")\n",
    "project.analysis.constraints.create(expression='biso_Ba = biso_La')"
   ]
  },
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   "execution_count": 13,
   "id": "20",
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     "text": [
      "\u001b[1;36mStandard fitting\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📋 Using experiment 🔬 \u001b[32m'hrpt'\u001b[0m for \u001b[32m'single'\u001b[0m fitting\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🚀 Starting fit process with \u001b[32m'lmfit \u001b[0m\u001b[32m(\u001b[0m\u001b[32mleastsq\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[33m...\u001b[0m\n"
     ]
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     "name": "stdout",
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     "text": [
      "📈 Goodness-of-fit progress:\n"
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     "text": [
      "🏆 Best goodness-of-fit \u001b[1m(\u001b[0mreduced χ²\u001b[1m)\u001b[0m is \u001b[1;36m1.29\u001b[0m at iteration \u001b[1;36m19\u001b[0m\n"
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     "text": [
      "✅ Fitting complete.\n"
     ]
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   ],
   "source": [
    "# Start refinement. All parameters, which have standard uncertainties\n",
    "# in the input CIF files, are refined by default.\n",
    "project.analysis.fit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "21",
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     "text": [
      "⚙️ Settings used:\n"
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     "data": {
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       "<table style=\"border: 1px solid rgba(128, 128, 128, 0.4); border-collapse: collapse; margin-top: 0.5em; margin-left: 0.5em\"><thead><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold\"></th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">Metric</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: right\">Value</th></tr></thead><tbody><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">1</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">🧪 Minimizer</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">lmfit (leastsq)</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">2</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">✅ Overall status</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">success</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">3</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">⏱️ Fitting time (seconds)</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.28</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">4</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">🔁 Iterations</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">17</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">5</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">📏 Goodness-of-fit (reduced χ²)</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.29</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">6</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">📏 R-factor (Rf, %)</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">5.62</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">7</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">📏 R-factor squared (Rf², %)</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">5.25</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">8</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">📏 Weighted R-factor (wR, %)</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">4.40</td></tr></tbody></table>"
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📈 Refined parameters:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table style=\"border: 1px solid rgba(128, 128, 128, 0.4); border-collapse: collapse; margin-top: 0.5em; margin-left: 0.5em\"><thead><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold\"></th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">datablock</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">category</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">entry</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">parameter</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: left\">units</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: right\">start</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: right\">value</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: right\">s.u.</th><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; border-bottom: 1px solid rgba(128, 128, 128, 0.4); font-weight: bold; text-align: right\">change</th></tr></thead><tbody><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">1</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">lbco</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">cell</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">length_a</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Å</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">3.8909</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">3.8909</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0000</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">2</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">lbco</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">atom_site</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">La</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">adp_iso</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Ų</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.5051</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.5051</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0278</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">3</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">lbco</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">atom_site</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Co</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">adp_iso</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Ų</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.2371</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.2371</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0564</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">4</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">lbco</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">atom_site</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">O</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">adp_iso</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">Ų</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.3935</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.3935</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0160</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">5</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">linked_phases</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">lbco</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">scale</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">9.1349</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">9.1349</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0538</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">6</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">peak</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">broad_gauss_u</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">deg²</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0816</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0816</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0031</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">7</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">peak</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">broad_gauss_v</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">deg²</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">-0.1159</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">-0.1159</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0066</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.01 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">8</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">peak</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">broad_gauss_w</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">deg²</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.1204</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.1204</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0032</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">9</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">peak</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">broad_lorentz_y</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">deg</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0844</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0844</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0021</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↓</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">10</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">instrument</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">twotheta_offset</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">deg</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.6226</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.6226</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.0010</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">11</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">background</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">1</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">y</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">168.4242</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">168.4242</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.3974</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">12</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">background</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">2</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">y</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">164.3715</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">164.3715</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">1.0023</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">13</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">background</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">3</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">y</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">166.8870</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">166.8871</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.7388</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">14</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">background</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">4</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">y</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">175.3977</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">175.3978</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.6490</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↑</td></tr><tr style=\"background-color: transparent\"><th style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; color: rgba(128, 128, 128, 0.7); font-weight: normal; text-align: right\">15</th><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">hrpt</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">background</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">5</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\">y</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: left\"></td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">174.3027</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">174.3026</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.8956</td><td style=\"padding: 0.25em 0.5em; line-height: 1.15em; border: 0; min-width: 0; text-align: right\">0.00 % ↓</td></tr></tbody></table>"
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       "<div style=\"font-size:smaller;opacity:0.7;font-family:monospace;white-space:pre\">  • start      = parameter value before refinement<br>  • value      = refined value from least-squares minimization<br>  • s.u.       = standard uncertainty (one sigma), from the covariance matrix<br>  • change     = relative change from start, in %; ↑ = increase, ↓ = decrease</div>"
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   ],
   "source": [
    "# Show fit results summary\n",
    "project.display.fit.results()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "22",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-04T16:13:46.317990Z",
     "iopub.status.busy": "2026-06-04T16:13:46.317812Z",
     "iopub.status.idle": "2026-06-04T16:13:47.158008Z",
     "shell.execute_reply": "2026-06-04T16:13:47.156915Z"
    }
   },
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   "source": [
    "# Show parameter correlations\n",
    "project.display.fit.correlations()"
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  {
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   "execution_count": 16,
   "id": "23",
   "metadata": {
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     "iopub.status.busy": "2026-06-04T16:13:47.159540Z",
     "iopub.status.idle": "2026-06-04T16:13:47.165065Z",
     "shell.execute_reply": "2026-06-04T16:13:47.164214Z"
    }
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;36mDefined experiments 🔬\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m[\u001b[0m\u001b[32m'hrpt'\u001b[0m\u001b[1m]\u001b[0m\n"
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   "source": [
    "# Show defined experiment names\n",
    "project.experiments.show_names()"
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  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "24",
   "metadata": {
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     "iopub.status.idle": "2026-06-04T16:13:48.060489Z",
     "shell.execute_reply": "2026-06-04T16:13:48.059606Z"
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AAJkPaJidDZbYJwAAANEMY/iVDujMnQ2XETEEAACdDgPslQ9RDJ0PrqIe+AAAfQ+j4JUN1WCdDVIcFwQAAH0NQ9iVDO3QnQ7NDB8EAACBDuPMlQwadJ0O3oPPAAAAuQyDxJUMK4CdDtP7DQAAAL0OI7iVD/1goQyPg1EAAACxD8OslQ6M7KUM/FzFAAAAwQ1jpJUPi2ipDxaOkQAAADEPA5iVDXKMtQ3GNBsIAACNDKOQlQ3L9MUMb12/BAAA0Q5DhJUO1EzhDkHaCwAAAU0P43iVDUI4/Q3yNm0EAAD5DYNwlQ1ljR0OQNRbBAAAzQ8jZJUO72E1D2sXWwQAAQ0Mw1yVD0eZQQxNtXsEAAEZDmNQlQ3dRT0N0FxXBAAA1QwDSJUMeuklD9NClwQAAS0NozyVD0g9CQ9oCD0EAAEFD0MwlQ5dAOkMZ7ddAAAAbQzjKJUOOlzNDbrzEwQAAH0OgxyVD9aMuQ1U/esEAADhDCMUlQ21dK0M2KUpBAAARQ3DCJUO2ZilDrjXDwQAAEUPYvyVDhk4oQyx0usEAADNDQL0lQ0K3J0PdizRBAAA5Q6i6JUM7YydDJOaMQQAAKEMQuCVDDDAnQwv0Tz8AADlDeLUlQ9kMJ0M6mY9BAAAqQ+CyJUMP8iZDQXxDQAAALkNIsCVDWtwmQ7x05EAAACRDsK0lQyfKJkOliTLAAAAoQxirJUOVuiZDhrWiPwAAOUOAqCVDFK0mQ1+XkkEAADdD6KUlQzuhJkMl9oJBAAAsQ1CjJUO8liZDjiitQAAAHEO4oCVDV40mQ3DVKMEAADZDIJ4lQ92EJkMrsndBAAA2Q4ibJUMofSZDgi14QQAAFUPwmCVDGHYmQ72wi8EAACBDWJYlQ5RvJkNy8s3AAAAoQ8CTJUOHaSZDejzLPwAAMkMokSVD4WMmQ+zBOUEAAClDkI4lQ5ReJkP5WihAAAAsQ/iLJUOUWSZDgM20QAAAKkNgiSVD11QmQzfKakAAACFDyIYlQ1VQJkOoCqrAAAAoQzCEJUMHTCZDWfzZPwAAIkOYgSVD50cmQ+v8iMAAAB1DAH8lQ/BDJkMFPxTBAAAiQ2h8JUMeQCZDtgOIwAAAH0PQeSVDbDwmQ3mN58AAAChDOHclQ9c4JkNclOM/AAAqQ6B0JUNdNSZDrqhyQAAAJkMIciVD+zEmQ0jtR74AABJDcG8lQ68uJkN6daHBAAAaQ9hsJUN3KyZDcLdCwQAAGkNAaiVDUSgmQxCFQsEAAEZDqGclQzwlJkMi1v5BAABDQxBlJUM2IiZDUu7mQQAAFEN4YiVDPh8mQ/H5kMEAACFD4F8lQ1QcJkN1iqPAAAAgQ0hdJUN1GSZDri7DwAAAIEOwWiVDoxYmQ1PUwsAAABVDGFglQ9oTJkPUnojBAAAzQ4BVJUMcESZDO+5OQQAALkPoUiVDaA4mQw8z/kAAAChDUFAlQ7wLJkMrIvo/AAASQ7hNJUMYCSZDwUigwQAAIEMgSyVDfQYmQ5XPwMAAABFDiEglQ+kDJkNFH6jBAAAXQ/BFJUNcASZDvxVwwQAAIUNYQyVD1v4lQ8Lan8AAADtDwEAlQ1f8JUNJHahBAAAaQyg+JUPe+SVD4J0/wQAAHUOQOyVDa/clQ7R2D8EAAClD+DglQ/70JUNkwEJAAAA1Q2A2JUOX8iVDitZwQQAAHEPIMyVDNvAlQ14DH8EAADlDMDElQ9rtJUMxkZhBAABAQ5guJUOD6yVD56PQQQAAGUMALCVDMuklQxqTTsEAABVDaCklQ+XmJUMpN4fBAAAaQ9AmJUOe5CVD3Ek+wQAAGEM4JCVDW+IlQ7QlXsEAADNDoCElQx7gJUMm/lFBAAA0QwgfJUPl3SVDsyFiQQAAIENwHCVDsdslQxl2u8AAAC5D2BklQ4LZJUPoZwJBAAARQ0AXJUNX1yVDuLqmwQAAK0OoFCVDMdUlQ9tZpUAAACJDEBIlQxDTJUMExHTAAAAaQ3gPJUP00CVDOw89wQAAGUPgDCVD3M4lQ8DtTMEAACJDSAolQ8nMJUNGMnPAAAAgQ7AHJUO7yiVDX1e5wAAAFkMYBSVDssglQxqLfMEAAD1DgAIlQ63GJUOXyrlBAAAoQ+j/JEOuxCVDnNQOQAAAEENQ/SRDs8IlQ5gVrsEAABNDuPokQ73AJUPrBZbBAAAbQyD4JEPNviVDzewrwQAALkOI9SRD4bwlQ+gxBEEAAClD8PIkQ/u6JUMlQVFAAAAuQ1jwJEMbuSVDVW4EQQAAJEPA7SRDP7clQ7Wf278AABJDKOskQ2q1JUNOq53BAAAVQ5DoJEOasyVDzZyFwQAAG0P45SRDz7ElQ/ccK8EAABtDYOMkQwuwJUOzACvBAAAoQ8jgJENNriVDvmwUQAAAA0Mw3iRDlawlQ1SyCsIAAB9DmNskQ+SqJUNzXNXAAAA1QwDZJEM5qSVDdWx1QQAAEkNo1iRDlaclQ6Q8ncEAADxD0NMkQ/elJUNF0LJBAAAiQzjRJENhpCVDWRhpwAAAIUOgziRD06IlQ1talMAAADBDCMwkQ0yhJUNB6yVBAAAYQ3DJJEPNnyVDz/xZwQAAKkPYxiRDVp4lQzw1jEAAABhDQMQkQ+icJUN9zlnBAAAeQ6jBJEOCmyVDR3DzwAAAKEMQvyRDJpolQ492GUAAACFDeLwkQ9OYJUNYGpPAAAA4Q+C5JEOKlyVDtEOTQQAAJkNItyRDS5YlQ/Vq0z4AAEFDsLQkQxaVJUNPV9tBAAAdQxiyJEPtkyVDzT4JwQAAJ0OAryRDz5IlQ36Ytj8AAB5D6KwkQ72RJUOoN/LAAAAHQ1CqJEO4kCVDwYX0wQAAFkO4pyRDwI8lQwH8eMEAACdDIKUkQ9aOJUMTlbg/AAAhQ4iiJEP6jSVDQr+RwAAAHUPwnyRDLY0lQ9bSCMEAABlDWJ0kQ3GMJUMKx0jBAAAhQ8CaJEPFiyVDk3iRwAAAI0MomCRDKoslQ4nKIsAAAAVDkJUkQ6KKJUOJKgLCAAApQ/iSJEMuiiVDiHRdQAAAIkNgkCRDzoklQ4pzYsAAACFDyI0kQ4SJJUOJMJHAAAAjQzCLJENSiSVDYVQiwAAAEEOYiCRDN4klQ7pJrMEAADJDAIYkQzeJJUOQbEdBAAAhQ2iDJENSiSVDSyqRwAAADUPQgCRDi4klQ1lMxMEAAClDOH4kQ+OJJUMxh11AAAAgQ6B7JENdiiVDmUuxwAAAMUMIeSRD+oolQ15QN0EAAC5DcHYkQ76LJUMlRAdBAAAdQ9hzJEOqjCVDpcoIwQAAMENAcSRDw40lQ88jJ0EAADNDqG4kQwuPJUNND1dBAAAmQxBsJEOGkCVDNfPePgAAIkN4aSRDOZIlQzSOZMAAABND4GYkQyeUJUM3oZTBAAAYQ0hkJENWliVDXGVZwQAAK0OwYSRDy5glQ6bmrEAAADJDGF8kQ4ybJUM6R0ZBAABQQ7RgJEPWoiVDqnQpQgAAMkNQYiRDeqolQ2JYRUEAABVD7WMkQ4KyJUMSlIXBAAA1Q4llJEP4uiVDeVB0QQAAIkMlZyRD6MMlQ+T5cMAAADFDwWgkQ1zNJUM6KjNBAAAlQ11qJENl1yVDLWVXvwAAMUP5ayRDEuIlQ9jeMUEAAB5DlW0kQ3ftJUPjrv3AAAAdQzJvJEOp+SVDjJoPwQAAI0POcCRDwAYmQx2wQcAAABBDanIkQ9sUJkPaprDBAAAcQwZ0JEMbJCZDskEiwQAAMEOidSRDqDQmQ4a1HEEAADNDPnckQ7BGJkMGlUtBAAAuQ9t4JENqWiZDuLL0QAAANkN3eiRDGXAmQ2n+eEEAACFDE3wkQwyIJkN/AbHAAAAmQ699JEOhoiZD96AivwAAKENLfyRDTMAmQxTanz8AABlD54AkQ5rhJkOeGV7BAAAcQ4SCJEM5BydDlHMwwQAALkMghCRDAzInQ6a/2UAAACdDvIUkQwdjJ0PQDca+AABAQ1iHJEOfmydDBCPDQQAAGkP0iCRDit0nQ53YXcEAACZDkIokQxArKEMMxArAAAApQyyMJENahyhDJkzxPgAAOUPJjSRDL/coQ4pGgEEAACVDZY8kQwyDKUN/YZDAAAAjQwGRJEO/PCpD4ZfnwAAALUOdkiRDBE0rQxJ+2T8AAClDOZQkQ8EPLUMS+IHAAAA8Q9WVJEMrQzBDTs07QQAAQ0NylyRDAEA2Q/v/S0EAAENDDpkkQxoTQUPrcvY/AABdQ6qaJEOQMVNDBuccQQAAZUNGnCRDcYhuQxSHGMEAAJdD4p0kQ99+iUMSEthBAICjQ36fJENHe55DHJcgQQAAvkMaoSRD5lGyQ53hukEAALNDt6IkQxVsv0NMwcbBAADFQ1OkJEM/uMBDEvgIQQCAukPvpSRDqpi1Q7jqHEEAALVDi6ckQ2mHokO2xBNCAACZQyepJENxUY1D9ei6QQAAikPDqiRDepx0Qy0c+0EAAG1DYKwkQ/5lV0MP0KxBAABLQ/ytJEPmp0NDPAPrQAAAMkOYryRDEbE3QxsitsAAAEdDNLEkQ+4HMUOOwK9BAAAnQ9CyJEO0fS1DfLbPwAAAOUNstCRDIZYrQ+mdVkEAADRDCbYkQwp6KkNkXxhBAAAyQ6W3JEOvvylDCAUEQQAAEUNBuSRD4jcpQxK/wcEAADBD3bokQyvOKEOvOuZAAAAxQ3m8JEMBeShD9W8IQQAANkMVviRDLzMoQwnNXEEAACdDsb8kQ1v5J0OUWnm/AAAYQ07BJEMaySdDnZF8wQAAEEPqwiRDnKAnQ+MEvcEAACpDhsQkQ3t+J0MkYSBAAAAcQyLGJEOeYSdD3Bk2wQAAGkO+xyRDJUknQ0qSVMEAADRDWskkQ140J0MiukxBAAAwQ/fKJEO6IidDYtQNQQAAN0OTzCRDxBMnQ8bDfkEAACJDL84kQxsHJ0Nt46DAAAA0Q8vPJENy/CZD3ThQQQAAJUNn0SRDhvMmQzPD+b8AAC5DA9MkQyHsJkPYe+JAAAAzQ6DUJEMV5iZDtJ5BQQAAGEM81iRDOuEmQ6MTbsEAADZD2NckQ3HdJkP3KHJBAAA4Q3TZJEOc2iZDHyuJQQAAJkMQ2yRDpdgmQ9OkWL8AADZDrNwkQ3bXJkOaiHJBAAAiQ0jeJEP/1iZD6N+awAAALkPl3yRDMNcmQ/UZ5UAAABlDgeEkQ/3XJkPLf13BAAA2Qx3jJENZ2SZDbmpyQQAANEO55CRDPNsmQ0BMUkEAACdDVeYkQ53dJkMWjAk+AAAtQ/HnJEN14CZDYfHDQAAAGUOO6SRDvuMmQ907XsEAACBDKuskQ3LnJkNK7tzAAAA0Q8bsJEOO6yZDIEdRQQAAKENi7iRDDfAmQ3H5hz8AACdD/u8kQ+30JkOjNjE9AAAwQ5rxJEMq+iZDYl0QQQAAJUM28yRDw/8mQ3Lh/78AAC5D0/QkQ7YFJ0M8Sd9AAAAhQ2/2JEMCDCdDT4DBwAAAMkML+CRDpxInQ43VLkEAACpDp/kkQ6QZJ0MJlzlAAAAmQ0P7JEP5ICdDSnyQvwAALUPf/CRDpignQ0zrukAAAB5DfP4kQ6wwJ0O7ChPBAAAmQxgAJUMMOSdD4IWcvwAAKkO0ASVDx0EnQzyOL0AAACJDUAMlQ99KJ0PnW6nAAAA3Q+wEJUNWVCdDn7p6QQAAMEOIBiVDLl4nQyMdCkEAACtDJQglQ2loJ0PG5WVAAAAuQ8EJJUMKcydDu57RQAAAM0NdCyVDFX4nQ7YeOEEAADBD+QwlQ4yJJ0NEZwdBAABBQ5UOJUNzlSdDZlTLQQAANEMxECVDz6EnQwzjRUEAADxDzRElQ6SuJ0PeiqJBAAAxQ2oTJUP3uydDkEAUQQAAMEMGFSVDzcknQzNjA0EAACtDohYlQyvYJ0Mo9UlAAAA5Qz4YJUMZ5ydDOseIQQAAMkPaGSVDnPYnQ0WWIEEAABhDdhslQ7sGKEPaNYDBAAAgQxMdJUN/FyhD8ncBwQAAO0OvHiVD8CgoQ4O4lkEAACdDSyAlQxY7KEPoip2/AAA1Q+chJUP7TShDTSBLQQAAJkODIyVDqmEoQ49qGMAAACVDHyUlQy52KEOMi13AAAAqQ7smJUOTiyhDbDa6PwAARUNYKCVD5qEoQ87w4kEAADND9CklQza5KEOlbCRBAAAsQ5ArJUOR0ShDzZtLQAAANUMsLSVDCOsoQ35PQUEAAC5DyC4lQ64FKUNISp9AAAAiQ2QwJUOVISlDpTLkwAAAJkMBMiVD1D4pQ+i0T8AAAB5DnTMlQ4BdKUME2DXBAABHQzk1JUO0fSlDXxLsQQAAPEPVNiVDi58pQ6oDk0EAADFDcTglQyLDKUO9m+dAAAAnQw06JUOb6ClDuyY6wAAAHEOqOyVDGRAqQ5IBYcEAAC5DRj0lQ8Q5KkP2jnFAAAAwQ+I+JUPHZSpDGEezQAAAGEN+QCVDUpQqQ5GilMEAAD9DGkIlQ5nFKkM106FBAAAXQ7ZDJUPX+SpDuc6fwQAASkNSRSVDTDErQ6J19kEAAD9D70YlQz9sK0MLnpxBAAAhQ4tIJUP/qitD868qwQAAR0MnSiVD5u0rQ9CQ2EEAAC9Dw0slQ1Y1LEN8qjJAAAASQ19NJUO+gSxD8A3UwQAANUP7TiVDmtMsQ1nGAkEAAF1DmFAlQ3crLUMiUj9CAABCQzRSJUPziS1DZ7CjQQAAHkPQUyVDwe8tQw78fsEAACtDbFUlQ6xdLkMVa1fAAAAsQwhXJUOe1C5DbSc1wAAAKEOkWCVDn1UvQ9Wz6sAAAEBDQFolQ+DhL0P+8IBBAAA5Q91bJUPCejBD31MIQQAAQUN5XSVD2yExQ0zifUEAADJDFV8lQwXZMUO27Bs+AABDQ7FgJUNnojJDxOyCQQAAL0NNYiVDjIAzQ3URkMAAADJD6WMlQ252NEOZmx3AAAAtQ4ZlJUObhzVDsnkIwQAAQ0MiZyVDTbg2Qzd7REEAAEJDvmglQ5cNOEOUJh9BAAA/Q1pqJUOdjTlDXEyuQAAAMkP2ayVD2T87Q439E8EAADhDkm0lQ3UtPUOorqXAAAA6Qy9vJUPLYT9DUzmswAAASkPLcCVDAutBQ9lPAUEAAEhDZ3IlQ/faREM1QklAAABSQwN0JUNqSEhDXHkbQQAARkOfdSVDw1BMQ2gYysAAAGFDO3clQ9YaUUOhUn5BAABRQ9d4JUM43FZD+oa7wAAAZUN0eiVDJ+ZdQyo740AAAEVDEHwlQxPJZkNNJAfCAABcQ6x9JUN4tXJDwqu1wQAAV0NIfyVDtzSCQ7elNcIAAHJD5IAlQ4EPkUMKfEDCAACqQ4CCJUOzX6xDyOyXwACA3EMdhCVD0MjfQ/8z0sAAgCNEuYUlQxpeHkTPPKRBAIBwRFWHJUN4smtEArGZQQCguETxiCVD+3uvRFFAkkIAgPtEjYolQ5bf+kTzaaBAAKAkRSmMJUNShydFf9Q5wgCwQkXGjSVD8BpNRQGvJsMAsFhFYo8lQ8w3YkW4fBjDAMBcRf6QJUMS3V1F04iOwQCQUEWakiVDEftBRfBOaUMAMCJFNpQlQwmMGUVtPwpDAODyRNKVJUMI/d9EwBcXQwBgnERulyVD27aZREdJqkEAAE9EC5klQzjnTEQHMgZBAEADRKeaJUPd3QpEobvzwQCAvENDnCVDN/zIQ3fDx8EAAJND350lQ/N5n0M2n8fBAABpQ3ufJUNXgolDuRIowgAAaUMXoSVDDqR6Q3QgjcEAAH1DtKIlQ9GRa0N6cYtBAAB9Q1CkJUPWDmFDTonfQQAAVUPspSVD7g1ZQ8q9gcAAAERDiKclQ4unUkOxeGrBAABeQySpJUO9Z01DG8KEQQAALEPAqiVDIAlJQwBJ6MEAAFpDXKwlQxBcRUOAH6VBAABOQ/mtJUNjPUJDyik8QQAAQ0OVryVDR5I/QzJuW0AAAFFDMbElQ+hFPUPD0J1BAABAQ82yJUPlRztDZwOXQAAARUNptCVDPIs5QztMN0EAADxDBbYlQ38FOEM5oH5AAABKQ6K3JUM8rjZDIo6aQQAAUEM+uSVDj341Q4gL1EEAADhD2rolQ9BwNEMHzGNAAAAxQ3a8JUNPgDNDthMgwAAASkMSviVDJakyQ9u2ukEAAEZDrr8lQwvoMUOkv6BBAABLQ0vBJUNBOjFD9S3OQQAAQUPnwiVDcJ0wQ4EUg0EAADxDg8QlQ5kPMENtBj9BAABTQx/GJUMJjy9D28MNQgAAPUO7xyVDSRovQ2lbXkEAAEhDV8klQxawLkNQf8pBAABGQ/PKJUNXTy5DSIW9QQAAS0OQzCVDGfctQzpH6EEAAEVDLM4lQ4emLUPIy7pBAAA+Q8jPJUPoXC1DwRiFQQAAVENk0SVDmBktQ5+ZG0IAADlDANMlQwncLENuP0JBAABkQ5zUJUO8oyxDEHFdQgAAJ0M51iVDQXAsQx4IrsAAAE9D1dclQzZBLEMq+wpCAAA7Q3HZJUNCFixD3JtuQQAAPkMN2yVDGe8rQzaHkEEAAEBDqdwlQ3bLK0NTpKFBAAA5Q0XeJUMaqytDXE5VQQAAIUPh3yVD0Y0rQwjdKMEAADtDfuElQ2hzK0N9yXhBAAA/QxrjJUO2WytDTSKdQQAAH0O25CVDlUYrQ1RpRMEAACpDUuYlQ+MzK0OZ8Zm/AAA2Q+7nJUODIytD0cctQQAAOkOK6SVDWxUrQ1aqbkEAAEBDJ+slQ1QJK0NftadBAAAyQ8PsJUNc/ypDehTgQAAAOkNf7iVDY/cqQ9WJcEEAADRD++8lQ1rxKkNd6hBBAAAyQ5fxJUM47SpDAlniQAAANkMz8yVD9OoqQ8VQMUEAADND0PQlQ4jqKkOHVwFBAABLQ2z2JUPw6ypDP1AAQgAAP0MI+CVDLO8qQ52GoEEAAE9DpPklQz30KkMKLxBCAAA3Q0D7JUMn+ypDlE1AQQAANEPc/CVD7gMrQxnBD0EAAD9DeP4lQ50OK0MZi59BAAA7QxUAJkM9GytDM0x+QQAAOEOxASZD3CkrQ0JiTUEAADZDTQMmQ4o6K0NZVyxBAAAyQ+kEJkNcTStDhVTWQAAAKUOFBiZDZ2IrQ6WZGMAAAB5DIQgmQ8V5K0NKnFfBAAA0Q74JJkOUkytDxMYGQQAALkNaCyZD9q8rQ5ECFEAAADhD9gwmQxHPK0PwDkNBAAAyQ5IOJkMR8StD4d3BQAAANEMuECZDJxYsQy47/UAAABBDyhEmQ4k+LENI9OHBAAApQ2YTJkN2aixDnZ1awAAAMUMDFSZDNZosQ125jEAAABxDnxYmQxTOLEOfcIbBAAAUQzsYJkNsBi1DYTPIwQAAH0PXGSZDo0MtQyk6ZMEAAENDcxsmQymGLUO2zqtBAAA6Qw8dJkOCzi1D5BdDQQAANEOsHiZDPx0uQyJYvEAAAEBDSCAmQwhzLkO9Z4xBAAA6Q+QhJkOe0C5DJvYyQQAANEOAIyZD2jYvQ8IkmUAAAC5DHCUmQ7mmL0OwXNO/AAA1Q7gmJkNfITBDJdSbQAAAMkNVKCZDG6gwQ3Dyqz8AAD1D8SkmQ3Y8MUOkODxBAABOQ40rJkM44DFDQv7gQQAAN0MpLSZDepUyQ85QjUAAACFDxS4mQ7NeM0Oa9ZLBAAAqQ2EwJkPSPjRDH+0jwQAAS0P9MSZDUzk1Q2s1rkEAAChDmjMmQ2RSNkNAJmXBAABHQzY1JkMSjzdD2A53QQAAQEPSNiZDgfU4Q+RP4UAAAEBDbjgmQzONOkOhWa5AAABIQwo6JkNwXzxDAAk6QQAATkOmOyZDxnc+Q5mDeEEAAEFDQz0mQ7/kQEN2C9o9AAA8Q98+JkPQuEND9hn3wAAASEN7QCZDugtHQ8hFdD8AAEFDF0ImQ438SkPUyB/BAABLQ7NDJkMftU9D26OWwAAAVENPRSZDg3FVQ1HBuL8AAEVD7EYmQ6+TXEN6nbzBAABbQ4hIJkOB2mVDDKgtwQAAW0MkSiZDOvJyQ8+Rv8EAAGJDwEsmQzTfg0Oh+RbCAACNQ1xNJkNTYZZDOBWWwQCAsEP4TiZDAEC5QwMAjMEAgOpDlFAmQ3AB+kP7FvjBAEA5RDFSJkNMKTVEfNaCQQAAk0TNUyZD2Y2GRHMix0IAIMVEaVUmQ7ZQw0Q8pWdBAKAERQVXJkN00QVFJrqYwQBgKkWhWCZDlygpRX+0m0EA4DpFPVomQ+R/QUV1/NPCAPA6RdpbJkMM8ERFvwAgwwDALkV2XSZD18cxRbX1QcIAQBRFEl8mQ4laEEW+XXlCAADbRK5gJkMj7tZErTsCQgAgl0RKYiZDyNqVROGbIkEAAE5E5mMmQ3vPSUSnEIZBAAAARIJlJkP+QglE5C8UwgCAsEMfZyZDRULGQyYSLsIAgIhDu2gmQ2+snEN3YyHCAICBQ1dqJkPEt4ZDgfgmwQAAaUPzayZDm2R1Q65JRsEAAFxDj20mQwLPZkMl8CzBAABkQytvJkN1zVxDU1HmQAAAZ0PIcCZDWUNVQzbljUEAAFpDZHImQx9FT0MJritBAABSQwB0JkNcX0pDghT0QAAAVEOcdSZDZE5GQ8AZW0EAADtDOHcmQ1zkQkOAi/zAAABPQ9R4JkOt/z9DLwVwQQAAVENxeiZD2IY9Qz/Js0EAADxDDXwmQyVmO0Ou2hk/AAAyQ6l9JkMijjlDS8TxwAAAOkNFfyZDk/I3QydbA0AAAEBD4YAmQ7CJNkMEZRdBAABAQ32CJkOSSzVD4UYrQQAAOkMZhCZDzTE0Q2LGuUAAAFBDtoUmQxs3M0MkR+ZBAABHQ1KHJkMjVzJD6kalQQAAJUPuiCZDRI4xQzvkSMEAAFRDioomQ3bZMEMnmgxCAAA/QyaMJkMtNjBDLZ1sQQAAOUPCjSZDP6IvQw3cFUEAACtDX48mQ9YbL0OweoPAAAAwQ/uQJkNeoS5DOlGvPwAAM0OXkiZDfTEuQ1TQmUAAADtDM5QmQwrLLUNYT1NBAAA1Q8+VJkMCbS1Dt1/yQAAALUNrlyZDhBYtQ8cdtL0AACdDB5kmQ8rGLENN2bjAAAA2Q6SaJkMqfSxDXC0YQQAAK0NAnCZDDDksQ/eFnL8AADlD3J0mQ+r5K0NfYVBBAAAxQ3ifJkNPvytDKxaoQAAAGkMUoSZD0YgrQ4hGjMEAAEhDsKImQxRWK0NgT+VBAAAxQ02kJkPFJitDaCe7QAAAOEPppSZDmfoqQ3JWUEEAACZDhacmQ07RKkO9KZrAAAA1QyGpJkOoqipDflUlQQAAUEO9qiZDcoYqQznmFUIAADpDWawmQ3pkKkNeuHlBAAAkQ/atJkOWRCpDtZLIwAAAREOSryZDnSYqQxzLzkEAAClDLrEmQ2sKKkNbNYW/AAAtQ8qyJkPg7ylDHghEQAAASENmtCZD3dYpQxZJ8UEAACNDArYmQ0m/KUMS6dfAAAAtQ563JkMJqSlDyr1VQAAAO0M7uSZDB5QpQ8Vfi0EAADFD17omQzCAKUMQ+u9AAABIQ3O8JkNubSlDj5T0QQAAK0MPviZDslspQwUn0j8AAEBDq78mQ+tKKUOpqLVBAAAyQ0fBJkMKOylDXE8MQQAAKUPkwiZDAywpQ1sKML4AACBDgMQmQ8cdKUN33BHBAAA2QxzGJkNNEClDKvtOQQAALUO4xyZDigMpQ4odf0AAACpDVMkmQ3P3KENfRoQ/AAA1Q/DKJkMB7ChD9T9BQQAAKkOMzCZDKuEoQ/tqjz8AACRDKc4mQ+jWKEP53JrAAAAmQ8XPJkMzzShDykwzwAAALkNh0SZDBsQoQ0J/p0AAAC1D/dImQ1q7KEOxlIhAAAAJQ5nUJkMssyhDXpn9wQAAJkM11iZDdasoQ1PdKsAAAEJD0tcmQzOkKENn3spBAAAgQ27ZJkNinShDHdYJwQAAGEMK2yZD/5YoQ/S3hMEAADRDptwmQweRKEOP7zZBAAAgQ0LeJkN6iyhDmrcIwQAAFUPe3yZDVYYoQ6synMEAACxDe+EmQ5qBKEOJmV9AAAAqQxfjJkNIfShDLVzBPwAAL0Pn5CZDlXkoQ2nN0EAAACJDuOYmQ092KEPcyc7AAAAoQ4noJkN6cyhDT/PmvgAAOkNa6iZDGnEoQy93jEEAADNDK+wmQzdvKEOQDClBAAAlQ/vtJkPZbShDSnZbwAAAG0PM7yZDDG0oQ7/QVsEAACpDnfEmQ95sKEP0kMk/AAAiQ27zJkNibShDS6zNwAAAHUM/9SZDsW4oQw7rNsEAAC1DD/cmQ+lwKEPu4pFAAAAVQ+D4JkMydChDjaGbwQAAJ0Ox+iZDwXgoQ0JgvL8AACVDgvwmQ9t+KEOttl/AAAAdQ1P+JkPfhihD8204wQAAMUMjACdDWZEoQ3DqBkEAADtD9AEnQzGfKEN2BpNBAAAbQ8UDJ0M7sihDriNbwQAAQkOWBSdDnc4oQxeLyUEAABNDZwcnQ/39KEPl76/BAAApQzcJJ0MpVSlDI1GqvgAAJkMICydDefspQ1HefsAAAEFD2QwnQxEvK0N7h65BAAAoQ6oOJ0N5PC1DLo+nwAAAPEN7ECdDe2AwQ034OUEAADZDSxInQ1eWNENq1LQ/AAA0QxwUJ0P8ZTlDjL+swAAAMUPtFSdDIcs9Qw+yTMEAADxDvhcnQ1dWQEPcyorAAAA7Q48ZJ0PD5D9DXJicwAAAMkNfGydD86s8Qyi/KsEAADFDMB0nQ0UCOEOpSODAAAA4QwEfJ0NVRTNDaVWXQAAALEPSICdD7VIvQyq7VMAAADxDoyInQ7B+LEMFFXhBAABCQ3MkJ0PvtCpDhli6QQAAM0NEJidDja8pQzcHFUEAADBDFSgnQ7YjKUM8idtAAAA0Q+YpJ0N92ShDNWgyQQAAKUO3KydDdq8oQ84UoT4AADJDhy0nQ7qUKENotBZBAAAlQ1gvJ0OugShDkmtgwAAAFUMpMSdDE3MoQ5WYm8EAAChD+jInQ25nKEOX3M6+AAAdQ8s0J0P6XShDpt81wQAAF0ObNidDOlYoQ8+xisEAADVDbDgnQ9VPKEOzAktBAAAsQz06J0OJSihDpV1tQAAAMkMOPCdDJUYoQ6mdG0EAADND3z0nQ4JCKEPg1ytBAAArQ68/J0OAPyhD7x8wQAAAAUOAQSdDCD0oQyD0HMIAADRDUUMnQwY7KEOmTzxBAAAaQyJFJ0NpOShDmJZjwQAANkPzRidDJzgoQ5Z9XEEAACZDw0gnQzM3KEOmzA3AAAAcQ5RKJ0OFNihDS2hDwQAAJENlTCdDFjYoQ7bChsAAACZDNk4nQ+A1KEPqdw3AAAAwQwdQJ0PeNShDTkT5QAAANkPXUSdDCzYoQ0yfXEEAAC1DqFMnQ2U2KENbM5lAAAAgQ3lVJ0PoNihDhm4DwQAAKUNKVydDkjcoQ4RtSD8AACJDGlknQ2E4KEMtDMfAAAAkQ+taJ0NUOShDcCqHwAAAJUO8XCdDZzooQ9iZTsAAADFDjV4nQ5w7KENBRgxBAAAtQ15gJ0PwPChD9WGYQAAAHkMuYidDZD4oQ0DmI8EAACRD/2MnQ/Y/KEPO/ofAAAAvQ9BlJ0OnQShDEcvXQAAAJkOhZydDd0MoQ8LdEMAAACFDcmknQ2VFKEOprOjAAAAnQ0JrJ0NyRyhDO7mjvwAACEMTbSdDn0koQ3wmAcIAACdD5G4nQ+xLKEPh9aW/AAAYQ7VwJ0NZTihDynKCwQAAH0OGcidD6VAoQ4sOFcEAACxDVnQnQ5tTKEM9GWtAAAAzQyd2J0NyVihD45gqQQAAKUP4dydDblkoQ4qRJj8AACVDyXknQ5NcKEO4JFfAAAAmQ5p7J0PhXyhDQ/gXwAAAIkNqfSdDW2MoQ2przMAAAC9DO38nQwRnKEN4H9NAAAAiQwyBJ0PfaihD2lvNwAAAEUPdgidD7m4oQ3J3u8EAABRDroQnQzZzKEOzmaPBAAAdQ36GJ0O7dyhDtHs3wQAAMENPiCdDgnwoQ89v8EAAACJDIIonQ4+BKEPRMdDAAAAZQ/GLJ0PohihDg254wQAAMkPCjSdDlYwoQ602F0EAABNDko8nQ52SKEPplKzBAAASQ2ORJ0MJmShDRMi0wQAAKkM0kydD4Z8oQ2cPsD8AABtDBZUnQzKnKEMjc1rBAAAqQ9aWJ0MIryhD6XuoPwAADkOmmCdDcrcoQ4671cEAABpDd5onQ4DAKEP4B2zBAAAWQ0icJ0NFyihDJlKWwQAAEUMZnidD2NQoQ7+mvsEAABdD6p8nQ1PgKEOXAo/BAAAiQ7qhJ0PU7ChDfJrdwAAAGUOLoydDf/ooQ+qnf8EAACpDXKUnQ30JKUPkgnY/AAAZQy2nJ0MBGilDCdCAwQAAHEP+qCdDRiwpQ2HEUsEAACNDzqonQ5NAKUNpEsjAAAAVQ5+sJ0M/VylD+LmiwQAAB0NwridDsnApQ8jCCcIAAB5DQbAnQ22NKUPS1jjBAAAQQxKyJ0MPrilDenDNwQAAGEPisydDX9MpQ/iajsEAACVDs7UnQ1b+KUPGyp/AAAAkQ4S3J0MzMCpDZQbGwAAAL0NVuSdDkGoqQwCukkAAABZDJrsnQ4avKkMtfKXBAAAoQ/a8J0PmAStDY3lAwAAAH0PHvidDs2UrQypbRsEAADtDmMAnQ1bhK0Oj6nFBAAAqQ2nCJ0MEgSxDC0EgwAAAH0M6xCdD0l8tQyX9ZcEAABRDCsYnQ928LkPq5tXBAAAfQ9vHJ0OkIzFDIh2RwQAALkOsySdDZKU1Q42s9MAAAENDfcsnQ2sFPkOVUp9AAABbQ07NJ0PzkkxD09BmQQAAWEMezydDX2BjQ+kFNsEAgIdD79AnQ9NngUObBUNBAICoQ8DSJ0P6+pNDNCgkQgCA0EOR1CdD1s2lQ6nIqkIAAMNDYdYnQydesUPJDg1CAADPQzLYJ0PSobFDb/FqQgAAwkMD2idDUnKmQ3NtXEIAgJ5D1NsnQ1q7lENlSpxBAICZQ6XdJ0OBE4JD9mM7QgAAekN13ydDvGJkQx3qrEEAAE1DRuEnQxQ9TUMrTnS+AAAnQxfjJ0MGaz5DM1i7wQAAM0Po5CdDT+A1Q8ETOMAAAB9DueYnQyRJMUMeSZLBAAAqQ4noJ0Nx2i5DHE6bwAAAKENa6idDj3wtQ+SRr8AAADRDK+wnQyOgLEOS++tAAAAQQ/ztJ0MwBCxDgSHgwQAAMkPN7ydD14wrQy1lzkAAAEtDnfEnQ5MtK0Npk/5BAAAfQ27zJ0Pc3ypDv/09wQAAJUM/9SdDoJ8qQ//zs8AAACRDEPcnQwVqKkOfQM3AAAAHQ+H4J0PtPCpDtfMMwgAAHUOx+idDuxYqQ7JrUcEAACJDgvwnQy/2KUPaxf7AAAAvQ1P+J0NN2ilDYrakQAAAIUMkAChDTsIpQ+ckDMEAAC5D9QEoQ5StKUOCTYpAAAA7Q8UDKEOdmylDGyOLQQAAJEOWBShDAIwpQ/p/scAAADxDZwcoQ2d+KUPGDJRBAAAjQzgJKEOMcilDglHOwAAAMUMJCyhDM2gpQ6X58kAAADVD2QwoQypfKUNeDTpBAAAcQ6oOKENIVylDg3RVwQAAI0N7EChDalApQzcNysAAAD5DTBIoQ3FKKUN7rKVBAAAiQx0UKENDRSlDZajowAAAOkPtFShDy0ApQ6b5hUEAAClDvhcoQ/Y8KUPx13O+AAAgQ48ZKEOzOSlDLJsTwQAAK0NgGyhD8zYpQ2eG5D8AACBDMR0oQ6s0KUOuShPBAAAuQwEfKEPPMilDIqaZQAAAI0PSIChDVjEpQ7YqxsAAADRDoyIoQzcwKUOU/CxBAAAwQ3QkKENrLylDqxLaQAAALkNFJihD6y4pQ6QimkAAADFDFSgoQ7IuKUPOKfpAAAA6Q+YpKEO6LilDNIqGQQAAHUO3KyhD/i4pQ+TvQsEAADxDiC0oQ3wvKUMkhJZBAAAiQ1kvKEMuMClDuQXmwAAAIEMpMShDEjEpQxwRE8EAAERD+jIoQyQyKUPcbtZBAAAyQ8s0KENjMylDyskMQQAAPEOcNihDzDQpQ55ZlkEAACFDbTgoQ102KUPMZQPBAAAdQz06KEMTOClDNIFDwQAAN0MOPChD7jkpQyBhXEEAAClD3z0oQ+w7KUM1rm++AAAWQ7A/KEMLPilDVPCZwQAAQ0OBQShDSkApQ7H9zUEAAC9DUUMoQ6hCKUPyqrdAAAAgQyJFKEMlRSlDVVIUwQAAKEPzRihDwEcpQ+jfo78AAD9DxEgoQ3dKKUNHrK1BAAA1Q5VKKENLTSlDVCs7QQAAKENlTChDOlApQwwdqL8AADVDNk4oQ0VTKUOzyzpBAAAeQwdQKENqVilDp2Y1wQAAIEPYUShDq1kpQ66aFcEAABdDqFMoQwZdKUMu6JLBAAArQ3lVKEN7YClDfMLPPwAAJ0NKVyhDC2QpQ6gCGcAAACBDG1koQ7RnKUNIexbBAAAdQ+xaKEN5aylDi7dGwQAALEO8XChDV28pQyoqJEAAAAxDjV4oQ1FzKUOFmuvBAAAsQ15gKENldylD2SYiQAAAFkMvYihDlHspQ57cm8EAADNDAGQoQ95/KUMeAhhBAAAZQ9BlKENEhClDIyKEwQAAKkOhZyhDx4gpQ51y7j4AADhDcmkoQ2aNKUOlKWdBAAAeQ0NrKEMikilDHCI5wQAAMUMUbShD/JYpQ44g7UAAAB9D5G4oQ/SbKUM7vynBAAAdQ7VwKEMLoSlDrRBKwQAAKEOGcihDQqYpQ9sg078AABpDV3QoQ5mrKUOSuXrBAAAqQyh2KEMSsSlDNNydPgAAE0P4dyhDrbYpQ2i1tcEAACFDyXkoQ2u8KUO1xgvBAAAvQ5p7KENOwilDRLanQAAAKkNrfShDVsgpQ3SoXj4AABlDPH8oQ4TOKUMkdIbBAAAlQwyBKEPb1ClDWpuawAAAJEPdgihDWtspQ0pru8AAAC5DroQoQwTiKUN1v4NAAAAgQ3+GKEPa6ClDpo0ewQAAPENQiChD3u8pQxCBkEEAADZDIIooQxH3KUPxjkBBAABFQ/GLKEN1/ilDWQzYQQAAI0PCjShDDAYqQ3rB4MAAADBDk48oQ9gNKkMNRb5AAAAdQ2SRKEPaFSpDp11RwQAAJkM0kyhDFh4qQ8/Cg8AAAC1DBZUoQ44mKkN2XDZAAAAnQ9aWKENELypD/tBLwAAAL0OnmChDOzgqQ674mEAAAA9DeJooQ3VBKkOmC9rBAAAUQ0icKEP2SipDrVeywQAAMkMZnihDwFQqQ/tn9UAAADRD6p8oQ9heKkOBEhpBAAANQ7uhKENAaSpDBErrwQAASkOMoyhD/nMqQxRg/EEAACxDXKUoQxN/KkNddsA/AAApQy2nKEOGiipD/ELFvwAAD0P+qChDWpYqQ9Ky3MEAABJDz6ooQ5WiKkOoFMXBAAApQ6CsKEM7rypDtp3XvwAAEkNwrihDU7wqQ5nixcEAABxDQbAoQ+LJKkMjnmzBAAATQxKyKEPv1ypDd7++wQAAHkPjsyhDgOYqQwJoTsEAADJDtLUoQ531KkNcTOFAAAAjQ4S3KENOBStD3VQAwQAAKENVuShDmxUrQ6NmRcAAACRDJrsoQ4wmK0ON0eTAAAA0Q/e8KEMtOCtDL30MQQAAPUPIvihDh0orQ8irjUEAACRDmMAoQ6ZdK0OxtOvAAAA1Q2nCKEOVcStDteYYQQAAM0M6xChDYoYrQ80z70AAABNDC8YoQxqcK0PU4MTBAAAzQ9zHKEPPsitDLKbpQAAAFkOsyShDj8orQ3VUrsEAAChDfcsoQ23jK0Mg23jAAAAcQ07NKEN8/StDvdd/wQAANUMfzyhD0hgsQ+JyDkEAACpD79AoQ4Y1LEN2YQ3AAAA1Q8DSKEOxUyxD8MQKQQAAOEOR1ChDb3MsQxHJOEEAABlDYtYoQ96ULEPvppzBAAAmQzPYKEMfuCxD4wPXwAAAJkMD2ihDV90sQ9qq28AAAClD1NsoQ60ELUOjlYDAAAAvQ6XdKENOLi1DAdnoPwAAHUN23yhDalotQ1LTgsEAACVDR+EoQziJLUN5kwjBAAApQxfjKEPyui1DNl6XwAAAJEPo5ChD2+8tQ679HsEAADVDueYoQz0oLkNh+NpAAAA9Q4roKENqZC5DXLlpQQAAM0Nb6ihDv6QuQyZoi0AAAB1DK+woQ6LpLkMQTY/BAAA9Q/ztKEOIMy9DgsdcQQAAJ0PN7yhD84IvQzcvCMEAADJDnvEoQ3nYL0PK4QlAAAAQQ2/zKEPANDBDANMAwgAANEM/9ShDiJgwQ+zdWUAAADZDEPcoQ6wEMUODap9AAABHQ+H4KEMlejFD2C6sQQAALEOy+ihDFPoxQ3FCv8AAAD9Dg/woQ8SFMkPEo0dBAAAmQ1P+KEO3HjNDcutRwQAAHUMkAClDr8YzQ3U1tsEAAEVD9QEpQ7h/NENCAoRBAABMQ8YDKUM9TDVDHJ61QQAAN0OXBSlDGC82QxzoUD8AAD1DZwcpQ68rN0MkirpAAAA9QzgJKUMRRjhD1z2XQAAAKkMJCylDI4M5QzMyeMEAADxD2gwpQ9PoOkO3los/AAAwQ6sOKUNefjxD3eVHwQAALEN7EClDsEw+Q4JlksEAADZDTBIpQ91eQEPX7SXBAABNQx0UKUPIwkJDf9MjQQAAP0PuFSlDBYpFQ6hA0cAAAEBDvxcpQxnLSEOMsQzBAAA+Q48ZKUM5o0xDjDNqwQAAQkNgGylDAzlRQyuQc8EAAFRDMR0pQ1PBVkPeVDDAAABdQwIfKUM4il1DGDgKvwAAY0PTIClDbhhmQ3obRsAAAGNDoyIpQzl5cUOMk2fBAABvQ3QkKUPmCIFDXY6YwQCAgkNFJilDk66OQyzpwsEAgJZDFigpQ9xwp0PfhgfCAIDMQ+cpKUPG0NVDYAyVwQDAC0S3KylDf8gUROqHEMIAAE1EiC0pQ3FKWkQRp1TCAICfRFkvKUOVlaBEj8oKwQAA3kQqMSlDi+HiRFoxHMIAIBFF+zIpQ75gFUXFF4jCAAA0Rcs0KUM7NTNFW8VKQQCwPkWcNilDDq4/RWsOfsEAQDpFbTgpQ7iqNEX5qLJCAMAgRT46KUM4lxdFfIwSQwAg9UQPPClD72LnRBfR20IAYKRE3z0pQ41QpET2Lfc+AMBlRLA/KUNnk19EI5PFQQAACUSBQSlDpAoYREKqcMIAgMpDUkMpQ/9W2UPyb+3BAICVQyNFKUMvHalDdekcwgCAmkPzRilDNl2PQ6AsskEAgItDxEgpQ18+gUMXGqRBAICMQ5VKKUPHeHFD5RweQgAAa0NmTClDnellQ2nMokAAAG9DNk4pQyxHXUOgxo1BAABUQwdQKUOwdVZD7WsdwAAAZEPYUSlDq+pQQ6yqmEEAAGdDqVMpQ6BVTEMCU9VBAABGQ3pVKUN6gEhDmB4gwAAAX0NKVylD40NFQ+ngzUEAAElDG1kpQymCQkPous9AAABQQ+xaKUN0JEBDxbh9QQAAT0O9XClD8xg+Q2Y4h0EAAFlDjl4pQ5tRPEMqc+VBAABEQ15gKUM5wzpDdswTQQAANkMvYilDzGQ5QxAzWcAAADZDAGQpQwgvOEMEwgvAAAA6Q9FlKUPzGzdDMQM5QAAAMEOiZylDoiY2Q0fUxMAAAEBDcmkpQwBLNUMBUCtBAABXQ0NrKUOkhTRDcekJQgAAMkMUbSlDsdMzQ1TY6b8AAD9D5W4pQ7syM0NO1DxBAAAyQ7ZwKUO1oDJD+7QgvwAAOUOGcilD3RsyQ12E3EAAACtDV3QpQ7KiMUNGVtTAAAAuQyh2KUPoMzFDFPpMwAAAQUP5dylDYM4wQ/6MgUEAADZDynkpQyFxMEPr27FAAAAyQ5p7KUNQGzBDCljyPwAARENrfSlDMMwvQ4KeoUEAADJDPH8pQxmDL0O0OR9AAAAtQw2BKUN5Py9DP94PwAAAL0PegilDzQAvQwQnTbsAADJDroQpQ6PGLkNcV05AAAAxQ3+GKUOTkC5DR9sbQAAAMENQiClDQ14uQ33e0D8AAEhDIYopQ2IvLkPzhM5BAAAxQ/KLKUOmAy5DhxY/QAAAOUPCjSlDz9otQxdTMkEAACdDk48pQ6G0LUMdlNbAAAAeQ2SRKUPokC1Dgw55wQAAMEM1kylDdW8tQ84iJEAAAEBDBpUpQxxQLUMjf5VBAAAuQ9aWKUO2Mi1DEEpNPwAAGkOnmClDIBctQwO5mMEAABlDeJopQzv9LEPa6Z/BAAAnQ0mcKUPp5CxDLJ28wAAAKEManilDEc4sQxjCmcAAACdD6p8pQ5q4LEMyE7fAAAAjQ7uhKUNupCxD5kYawQAAHUOMoylDfJEsQ7wXecEAADlDXaUpQ7B/LEP8BEhBAAAXQy6nKUP8bixD4nerwQAAMEP+qClDUl8sQ4IraEAAADtDz6opQ6VQLEOu9WpBAAAqQ6CsKUPrQixD07oQwAAAJENxrilDHDYsQ7thA8EAAExDQrApQy8qLEOGrv5BAAApQxKyKUMhHyxDPshHwAAAP0PjsylD7hQsQ5JYl0EAADFDtLUpQ5ULLENmjZ5AAAAdQ4W3KUMYAyxDhzFwwQAALUNWuSlDfvsrQ/9Agj8AAEdDJrspQ8/0K0OGWdhBAAAoQ/e8KUMb7ytDycZ7wAAAP0PIvilDeOorQ0OsmEEAACVDmcApQwTnK0OL4NzAAAAcQ2rCKUPv5CtD7k5+wQAAI0M6xClDfeQrQ9BHDsEAABVDC8YpQyfmK0M7MbfBAABHQ9zHKUPj6itD5qjYQQAAHkOtySlD3vQrQ+ZNX8EAAB5DfcspQxcJLENukWDBAAAWQ07NKUMcMixD4ZCxwQAARUMfzylDYIMsQ//kw0EAACdD8NApQ4caLUPRUMPAAAA0Q8HSKUMjGi5Dk7u8QAAAO0OR1ClDRpovQ6dbNkEAAD5DYtYpQyCRMUME7kZBAAApQzPYKUMlvTNDUdIrwQAAVkME2ilDp5o1Q2aVAUIAADxD1dspQ7p6NkO3qLBAAABIQ6XdKUN37zVDSISQQQAAOkN23ylD4Tw0Q+djuEAAAClDR+EpQ6oPMkOk+hDBAAAmQxjjKUPk+y9DPb4fwQAAL0Pp5ClD8lMuQxMOLD8AACpDueYpQykuLUMhikvAAAA/Q4roKUPReCxDfDmUQQAAOUNb6ilDLBIsQ0DdTkEAAD9DLOwpQ3PaK0NkLJlBAAA1Q/3tKUOCuytD5EcUQQAAPEPN7ylDv6grQwi6gkEAACRDnvEpQwGcK0MigPPAAAA5Q2/zKUOJkitDa9dWQQAAKENA9SlDI4srQ7nIYsAAAChDEfcpQziFK0MXTmHAAAAnQ+H4KUN0gCtDiA6QwAAAHkOy+ilDnnwrQ9rJV8EAAC1Dg/wpQ4t5K0NTOsM/AAAxQ1T+KUMedytDNRyxQAAAQUMlACpDP3UrQwpWrEEAAD5D9QEqQ9pzK0MwYZRBAAAuQ8YDKkPicitDnkcjQAAAIUOXBSpDSnIrQ5skJ8EAABNDaAcqQwlyK0NJkMPBAAAlQzkJKkMZcitDFkPOwAAAPEMJCypDcnIrQ25shEEAACxD2gwqQxFzK0P77gw/AAAwQ6sOKkPxcytD2IGRQAAAJ0N8ECpDEHUrQ/uhjsAAADpDTRIqQ2p2K0NYmWhBAAAyQx0UKkP/dytDFADRQAAAHkPuFSpDzXkrQ9OcV8EAAChDvxcqQ9N7K0PC9F7AAAA0Q5AZKkMQfitD+B4IQQAAGkNhGypDhYArQysEjMEAACJDMR0qQzKDK0MhMxjBAAAoQwIfKkMXhitDvoVhwAAAQkPTICpDNYkrQ1e2s0EAACRDpCIqQ46MK0OykfHAAAApQ3UkKkMikCtDfggkwAAAIENFJipD9JMrQ0M/OcEAACRDFigqQweYK0PSAPPAAAArQ+cpKkNcnCtDqFscvwAAKUO4KypD96ArQ6U9KMAAACdDiS0qQ9ulK0Ncu5TAAAAWQ1kvKkMNqytDZVitwQAALUMqMSpDkLArQ8W3pz8AADdD+zIqQ2y2K0NGmTRBAAApQ8w0KkOkvCtDECkvwAAANEOdNipDQcMrQ+7LA0EAAC1DbTgqQ0rKK0P+2po/AABDQz46KkPI0StDwXG5QQAAMkMPPCpDxdkrQ1/HxEAAAEFD4D0qQ03iK0OY7ahBAAAzQ7E/KkNt6ytDVJLiQAAAGUOBQSpDNvUrQ6ypl8EAAClDUkMqQ7f/K0Pa7T/AAAAlQyNFKkMICyxD+2DhwAAALEP0RipDPxcsQ9v4ub0AACtDxEgqQ3okLEPPPJK/AAAyQ5VKKkPZMixD5aS5QAAANENmTCpDhEIsQ3Ov90AAAChDN04qQ6tTLENudYrAAAApQwhQKkOGZixDmqFZwAAAPkPYUSpDWXssQzUljEEAACpDqVMqQ3eSLEPDnSTAAAAyQ3pVKkNErCxDcneqQAAAHkNLVypDPsksQ+WTbMEAADlDHFkqQwDqLEMDYEFBAAA1Q+xaKkNMDy1DgRb+QAAALUO9XCpDGjotQyVpaL4AACNDjl4qQ6lrLUOOuibBAAA4Q19gKkOWpS1DnKYlQQAANUMwYipDDOotQ4a+4kAAAEBDAGQqQw88LkOGH45BAAAmQ9FlKkNKoC5DpAQKwQAAKEOiZypDKh8vQz/l48AAAEhDc2kqQ4bKL0PQq8FBAAA8Q0RrKkPwyjBDBVEzQQAAPkMUbSpDq3kyQ1JlOEEAAFND5W4qQz2HNUMcxutBAAAsQ7ZwKkNvHTtD+NZxwQAARkOHcipDN9FEQ61klz8AAGZDWHQqQ64sVEOTmo5BAACEQyh2KkMbwGlDKf/xQQAAY0P5dypDGwCCQ9kABMIAgJBDynkqQ4k1j0OROyVAAACRQ5t7KkPau5hDOHt3wQAAjkNsfSpDE5eaQylxycEAAHpDPH8qQwfYk0M1wDbCAABpQw2BKkOBpYdDBSwZwgAAb0PegipDME90QwHmqcAAAG9Dr4QqQ3SOXENdjJNBAABMQ4CGKkNCtEpDAd+lPwAAMkNQiCpDeuk+Q5qXTsEAAD1DIYoqQ0noN0Ph9qJAAABKQ/KLKkMEDDRD4Z+vQQAANUPDjSpDnvkxQ32YQUAAAD5DlI8qQ+bRMEOi4VJBAAAxQ2SRKkPKHDBDzjVjPwAAR0M1kypDhKEvQ+LzukEAAEFDBpUqQ/pGL0MsyI1BAAAqQ9eWKkPTAS9DXDqgwAAAKkOomCpDOcwuQxSHmcAAACVDeJoqQ6KiLkMlKhrBAABAQ0mcKkOigi5D8eqLQQAAK0ManipDb2ouQ96bWsAAAClD658qQ7NYLkNwFqvAAAAoQ7yhKkNnTC5D2YzJwAAAN0OMoypDvkQuQx20C0EAAC1DXaUqQxxBLkPcjaC/AAAyQy6nKkMEQS5D775vQAAAL0P/qCpDGEQuQ0PoOz8AAD9D0KoqQwtKLkOkr4VBAAAmQ6CsKkOmUi5DXSoFwQAAO0NxripDu10uQ0wkSkEAAD9DQrAqQyxrLkOjpoRBAAA4QxOyKkPhei5D9lEYQQAAKEPksypDzIwuQ4SZ0cAAADFDtLUqQ+egLkMoxhdAAABNQ4W3KkMyty5DbkbyQQAAPENWuSpDss8uQ9gEU0EAACZDJ7sqQ3TqLkM7pw7BAAA0Q/i8KkOHBy9DJA+fQAAAM0PIvipDAicvQ2U/dkAAADNDmcAqQwJJL0Nuv21AAAAjQ2rCKkOobS9DgNpGwQAAPEM7xCpDG5UvQ06uRkEAAClDC8YqQ4m/L0Mw8dfAAAAzQ9zHKkMo7S9DBLZEQAAAKUOtySpDMx4wQ1nG48AAAElDfssqQ+9SMEOKaMVBAAA4Q0/NKkOqizBDxYruQAAAO0MfzypDvcgwQzV0I0EAAE9D8NAqQ4wKMUOhq+9BAAAqQ8HSKkOJUTFDLDHqwAAAQUOS1CpDN54xQ48cdkEAAD1DY9YqQynxMUN47TBBAABNQzPYKkMGSzJDzafVQQAAN0ME2ipDkawyQ9RtikAAADND1dsqQ6cWM0NlNbW9AAA8Q6bdKkNFijNDtVsHQQAAQkN33ypDkQg0Q+p2X0EAAFxDR+EqQ+GSNEN7tB1CAABDQxjjKkPAKjVD+VNdQQAAMEPp5CpD/9E1Q9A/usAAAFBDuuYqQ7uKNkMlqstBAAA5Q4voKkN5VzdDXEPUPwAAWUNb6ipDMjs4QzcTA0IAAEtDLOwqQ3M5OUNkNI5BAABIQ/3tKkOCVjpD55daQQAAREPO7ypDhZc7Q7OHBkEAAEVDn/EqQ8UCPUNcp/9AAABZQ2/zKkP3nz5DRgDTQQAAM0NA9SpDpHhAQ0CKV8EAADhDEfcqQ7KYQkMfiynBAAA7Q+L4KkMhD0VDFfIgwQAAW0Oz+ipDDu9HQ4+HmEEAAEFDg/wqQx5RS0PiESXBAABWQ1T+KkOkVU9DgUvVQAAAT0MlACtDRihUQ8sIpcAAAEdD9gErQ7YHWkOzPZjBAABgQ8cDK0NlWWFDYbKsvwAAdEOXBStD4t5qQ9sREkEAAFlDaAcrQ0c9eEM16vnBAACFQzkJK0M+k4ZDE59JwACAjEMKCytDTrWYQ9lUw8EAgNRD2wwrQ1jSuUNCbVVCAMADRKsOK0OWaPVDULsQQgDAN0R8ECtDr90sRAslLkIAIIRETRIrQ5JHeUTYhm9CAGC5RB4UK0PmE7BEmsGUQgBg9ETvFStD/qzrRBwwi0IAsBBFvxcrQwzVEUXHhZLBAIAfRZAZK0O/KiNFpa9qwgCgHEVhGytDAh8iRUPgr8IAUA1FMh0rQ/g2D0Xne/PBAEDmRAMfK0OhTeVEj17yQAAApkTTICtDASyqRCeABcIAwGNEpCIrQ+4WcETcbkXCAAAURHUkK0O2oyZErx2VwgAA10NGJitD/t3tQ+zvNsIAAJxDFygrQ8KZtUMRzkzCAACOQ+cpK0N5aZZDj5eGwQCAjkO4KytD9EeFQ72Ak0EAAHdDiS0rQyCndkMSv7E+AAB6Q1ovK0Mu0GlDk36BQQAAZ0MrMStDTJ1gQ4FWzEAAAIhD+zIrQ5qGWUOW5VlCAABrQ8w0K0MK1lNDsE+5QQAAPEOdNitD2SpPQ8pWmcEAAF9DbjgrQ5pIS0Muu51BAABaQz86K0MBBUhD9tePQQAAXUMPPCtDqkBFQ636vUEAAFJD4D0rQ5/jQkMLxnFBAABHQ7E/K0NJ20BD3JbEQAAAT0OCQStDDhk/QxhvfkEAAFBDUkMrQ1qRPUMzdZNBAAAyQyNFK0PjOjxDK64jwQAAQkP0RitDKg47Q7863kAAAEpDxUgrQxQFOkPArn9BAABiQ5ZKK0OeGjlDiZUjQgAAUUNmTCtDpEo4Q+CqxUEAAEJDN04rQ7aRN0Ob5CZBAAAzQwhQK0P17DZDRj17wAAAN0PZUStD91k2Q+cIJj8AADtDqlMrQ7TWNUOGKaVAAABGQ3pVK0NzYTVDafSEQQAARkNLVytDv/g0Qwk6iEEAAFFDHFkrQ1qbNEMvJeNBAAA7Q+1aK0M2SDRDMfnWQAAAU0O+XCtDbv4zQ48M+EEAAEZDjl4rQz69M0MPFpJBAAAkQ19gK0MBhDNDEkB4wQAASEMwYitDLVIzQ5pupUEAAFRDAWQrQ00nM0PKYgNCAABFQ9JlK0MFAzND2OePQQAAP0OiZytDCOUyQ3+vQUEAAENDc2krQx3NMkMVl4FBAABZQ0RrK0McuzJDkRMZQgAAPUMVbStD664yQ1IRJUEAADZD5m4rQ4KoMkOf31VAAAAuQ7ZwK0PnpzJD2fyUwAAANkOHcitDMq0yQ4KzVEAAAEdDWHQrQ4y4MkOkO6JBAAAzQyl2K0MuyjJDCUZXPgAARUP6dytDauIyQ7HskEEAAGRDynkrQ6MBM0Nz+UNCAAAqQ5t7K0NaKDNDm4USwQAAS0NsfStDKVczQ7RGvUEAAGhDPX8rQ9GOM0O8xFFCAAAyQw6BK0M20DNDOBvovwAAWEPegitDcBw0Qz+OD0IAAE1Dr4QrQ850NEONWcRBAAA5Q4CGK0Pm2jRDRKOEQAAAVENRiCtDolA1Q/B69UEAAEdDIoorQ1jYNUNCPYlBAAApQ/KLK0PgdDZDBE5XwQAAJUPDjStDuyk3Q9lNkcEAAEtDlI8rQzz7N0MdJphBAABXQ2WRK0PJ7jhDuonwQQAAR0M2kytDKAs6Q4dNT0EAAEhDBpUrQ/NYO0PScEpBAAAuQ9eWK0M04zxDQTNuwQAAQEOomCtDSLg+Q+jboz8AAE5DeZorQ1LrQEPjSlFBAAA/Q0qcK0MLl0NDa+GSwAAAS0ManitDj+RGQxpug0AAAFJD658rQ18dS0MlVNxAAABCQ7yhK0Po2VBDep5twQAAdUONoytDIGxZQ/+e3EEAAHJDXqUrQ1SrZ0PGSiVBAAB/Qy6nK0Pdj4BDSe4HwAAAm0P/qCtDA4iXQyX/3UAAAMxD0KorQ0IZv0Pja85BAAD5Q6GsK0NdsP1DqwsWwQBANkRyritDVCorRMZaMUIAgGlEQrArQwQhYkSP3+tBACCMRBOyK0P60I1ELn1YwQAApUTksytDAZ2kRNX9RUAAgLhEtbUrQ3vTrERNyLpCAICfRIa3K0NRgaJEMFTAwQAgjURWuStDc4mKRDyjpUEAwF1EJ7srQ75FW0SdkB5BAMAgRPi8K0OdVSVEo7OSwQAA9UPJvitDlCP1Q/FOjr4AgKtDmcArQ8WFuUNSXODBAACOQ2rCK0MdLpRDl8NFwQCAg0M7xCtDezN9Q1XIHEEAAGVDDMYrQxxAZUOfN4C+AABrQ93HK0MtvFdDmR6aQQAAdkOtyStDCYBPQ9v/GUIAAE1DfssrQ1PrSUNeK0VAAABZQ0/NK0PUxUVDYdGZQQAAWUMgzytDuIFCQ0Dys0EAAEVD8dArQ6nZP0PpyqRAAABDQ8HSK0NWpj1DRzWrQAAAaEOS1CtD9M07QzHIMEIAADZDY9YrQ/U9OkOjvofAAABAQzTYK0Nj6DhDpvPiQAAALEMF2itDe8I3Q7QnPMEAAD9D1dsrQ9fDNkOXwgNBAABIQ6bdK0PQ5TVDf9GQQQAAOkN33ytDGiM1Q7+cm0AAAD5DSOErQ253NEMZiRhBAABTQxnjK0NU3zNDXwX5QQAAOEPp5CtD81czQ50BlUAAADRDuuYrQ/LeMkPbhpA/AAA2Q4voK0NecjJDYGhjQAAAOENc6itDlhAyQzjtvUAAAC9DLewrQzq4MUOWDi7AAAAwQ/3tK0MiaDFD3BC0vwAAJkPO7ytDUB8xQ/v0McEAADRDn/ErQ+zcMEPuxEhAAABDQ3DzK0M+oDBDD/6SQQAAN0NB9StDpWgwQ1zr0kAAADZDEfcrQ5c1MEMkTblAAAAoQ+L4K0ObBjBDrmkAwQAAMUOz+itDSNsvQ/9bkj8AAD5DhPwrQ0KzL0Pdy2RBAAAyQ1X+K0M4ji9D43EcQAAANEMlACxD5GsvQ4+DkkAAADVD9gEsQwRML0N2f7ZAAAAxQ8cDLENjLi9Dkc7oPwAAK0OYBSxDzRIvQ69ZgsAAAEFDaQcsQxj5LkNBN5BBAAA1QzkJLEMa4S5DtdzDQAAANEMKCyxDssouQ82ppkAAAEZD2wwsQ761LkMSUrpBAAAxQ6wOLEMioi5DcncXQAAAIUN9ECxDxY8uQ1b8WMEAACZDTRIsQ5B+LkP/6AfBAAAwQx4ULENtbi5DbcnIPwAAPkPvFSxDSl8uQ18LekEAADlDwBcsQxZRLkOm7ipBAAAtQ5EZLEPBQy5DSeChvwAAMENhGyxDPTcuQ35h5D8AAB9DMh0sQ38rLkPpt3LBAAA8QwMfLEN6IC5DX/hdQQAAR0PUICxDJhYuQ9JOx0EAADRDpSIsQ3kMLkPmcL5AAAAkQ3UkLENsAy5DvjYgwQAANENGJixD+fotQ++gwEAAAD5DFygsQxrzLUMyZ4BBAAAzQ+gpLEPM6y1DioaiQAAAMUO5KyxDDOUtQ/y8RkAAADdDiS0sQ9reLUNdEhJBAAAuQ1ovLEM32S1DKiIbPgAAJEMrMSxDKNQtQ3tCHcEAACVD/DIsQ7LPLUMf+wzBAAA5Q800LEPiyy1D4EEzQQAAP0OdNixDy8gtQ6e5iUEAADVDbjgsQ5DGLUMHLudAAAAPQz86LEN1xS1Dqyv2wQAAKkMQPCxDFMYtQ/qEccAAABZD4D0sQ7vJLUPYTb7BAAA7Q7E/LEMd0y1DLs5SQQAANUOCQSxDJ+ctQywb40AAACtDU0MsQ3gNLkMNXkPAAAAzQyRFLEOITy5DAg+WQAAAEkP0RixDcbUuQ4Wr5cEAAC9DxUgsQ4dAL0PyDYG+AAA2Q5ZKLENq5S9Dy1LDQAAAMENnTCxDsIcwQ76vB78AACRDOE4sQ/L5MEMan0/BAAAYQwhQLEOdDTFD6GzIwQAAPEPZUSxDWrgwQ2d6NEEAABhDqlMsQxYfMEOx+MDBAAAsQ3tVLEMbcy9D38ZcwAAADENMVyxD39cuQ3tfC8IAADBDHFksQ+9eLkNbiNA/AAAoQ+1aLENDCy5DYmjBwAAARUO+XCxDv9YtQwRKuUEAAD5Dj14sQwq4LUOwP4JBAAAwQ2BgLEOipi1DmFcWQAAAJ0MwYixDjZwtQ6+R08AAADZDAWQsQ02WLUMxmwZBAAAvQ9JlLEMUki1DK/a2PwAAGkOjZyxDCY8tQ0h4nMEAAChDdGksQ8iMLUMMmbHAAAA7Q0RrLEMgiy1D/k1XQQAAI0MVbSxD9IktQzqfKMEAAC1D5m4sQzCJLUM5MAm/AAAhQ7dwLEPJiC1Di4xIwQAAKkOIcixDs4gtQ8QsYsAAADJDWHQsQ+iILUP+4o5AAAAuQyl2LENiiS1D3TvtPgAALEP6dyxDHYotQ4AOxb8AACdDy3ksQxaLLUO7YtHAAAAoQ5x7LENLjC1DUomxwAAAJENsfSxDuo0tQ5zbGMEAADdDPX8sQ2OPLUPTCRdBAAANQw6BLENGkS1DFkUCwgAALUPfgixDYpMtQ3RiE78AAD5DsIQsQ7qVLUMuUoNBAAA0Q4CGLENOmC1DNPbMQAAAIkNRiCxDIJstQweyOcEAACZDIoosQzOeLUNWxvPAAAAkQ/OLLEOIoS1DexgawQAAJkPEjSxDI6UtQ1Gk9MAAACpDlI8sQwepLUOyQWrAAAAwQ2WRLEM5rS1D3rEUQAAANUM2kyxDvLEtQ3HI6UAAAC9DB5UsQ5i2LUMJtKQ/AAAhQ9iWLEPRuy1DDr1LwQAAKkOomCxDbsEtQ4tbcMAAACZDeZosQ3fHLUPu7vjAAAAvQ0qcLEP1zS1DSwWZPwAAK0MbnixD8tQtQ3k8NcAAACxD7J8sQ3jcLUP+O+6/AAA3Q7yhLEOU5C1Du7YRQQAAJUONoyxDVe0tQ1PVDsEAADVDXqUsQ8v2LUOlJuFAAAAoQy+nLEMIAS5D/SDAwAAAM0MAqSxDIgwuQ8p7nkAAAB1D0KosQzEYLkOEwYjBAAAsQ6GsLENRJS5DJVQJwAAAO0NyrixDojMuQ9vFTEEAADVDQ7AsQ0tDLkOTltdAAAAjQxSyLEN4VC5DfEc1wQAAI0PksyxDW2cuQ6x1NsEAACZDtbUsQzF8LkMNwwfBAAAhQ4a3LENBky5DEzRZwQAAJ0NXuSxD4awuQxec9cAAABRDJ7ssQ3XJLkOmS9bBAAAvQ/i8LEN36S5Dski0PQAAQ0PJvixDew0vQyqUn0EAADVDmsAsQzQ2L0OFOblAAAAtQ2vCLEN/ZC9DwR8ZwAAAIEM7xCxDbpkvQ9qWecEAADRDDMYsQ1XWL0NSNYVAAAA3Q93HLEPmHDBDSmPcQAAAHEOuySxDRW8wQyl6o8EAACNDf8ssQz7QMEPnA13BAAAvQ0/NLEOLQzFDweIQwAAAPUMgzyxDbc4xQyoZM0EAADVD8dAsQyd5MkNCtiFAAAA6Q8LSLEO1UjNDXqnVQAAAOEOT1CxD4Hk0QwiIYUAAADtDY9YsQ5cwNkMk7ZlAAAA/QzTYLEN0/jhDfTHAQAAAS0MF2ixD8N89Q/8AUkEAAEJD1tssQ41sRkOpkY3AAABtQ6fdLEO6w1RDMeLBQQAAckN33yxDyAVrQ/BG30AAgJlDSOEsQ0YihUPP7SJCAICVQxnjLEPxlZhDRXzFwAAAqkPq5CxDvWytQ0Iv28AAgLJDu+YsQ+Ilv0MgXsrBAACxQ4voLEN46sdDwlM3wgAAuUNc6ixDAOnDQwGQrsEAgLtDLewsQ6b6tEM8q1BBAICXQ/7tLEPevqBD2+2TwQAAhEPP7yxDXGqMQ7qlhsEAAHNDn/EsQwhjdkMCwljAAABPQ3DzLEP2tVxDXV9bwQAAR0NB9SxDp4BLQ9IUkMAAADRDEvcsQz7sQEPaw07BAABKQ+P4LEM2yTpDp2xzQQAAPEOz+ixDpUg3Q1zrlkAAADdDhPwsQ6Y1NUMKLeU/AAAqQ1X+LEME4DNDPgAewQAANEMmAC1DM+4yQ4fmiD8AADZD9wEtQ6Y1MkN9lnJAAAA6Q8cDLUMZojFDad4FQQAAREOYBS1DBykxQ8W3lkEAADFDaQctQyfEMEO8Y28+AABGQzoJLUM2bzBDT4asQQAANkMLCy1DFScwQ1Idu0AAADdD2wwtQ2TpL0OD0+JAAAA4Q6wOLUNHtC9DirsEQQAANUN9EC1DSoYvQ8M2r0AAAD5DThItQ0FeL0PsG2pBAAAwQx8ULUM+Oy9DcMJEPwAARUPvFS1DfBwvQx8cr0EAAC5DwBctQ14BL0PMroC/AAAfQ5EZLUNf6S5D7JV+wQAAK0NiGy1DE9QuQ60EdcAAAB9DMx0tQx7BLkPnEXzBAAAqQwMfLUM2sC5DsgaWwAAALEPUIC1DF6EuQ95FKMAAAB9DpSItQ42TLkPVOHnBAAAgQ3YkLUNohy5DhXZowQAALUNHJi1DgHwuQyJAvr8AABNDFygtQ7NyLkOVldvBAAAPQ+gpLUPhaS5DDE/7wQAAFkO5Ky1D82EuQ5cPw8EAABtDii0tQ9BaLkOA1prBAAAgQ1svLUNlVC5DVkZlwQAAG0MrMS1DoU4uQwt1msEAADBD/DItQ3VJLkORRds/AABGQ800LUPSRC5Dbtm9QQAAM0OeNi1DrkAuQ0nql0AAACFDbjgtQ/08LkPJz1PBAAAvQz86LUO1OS5DkkpGPwAAHUMQPC1D0DYuQ3+2icEAAC1D4T0tQ0Q0LkM5Ipq/AAAoQ7I/LUMMMi5DjEHGwAAAK0OCQS1DIjAuQ20ITMAAAC1DU0MtQ38uLkN8P5e/AAA3QyRFLUMfLS5DCi4NQQAAFEP1Ri1D/isuQ/Rf0cEAACBDxkgtQxgrLkOFsWLBAAArQ5ZKLUNpKi5DW5pKwAAAJ0NnTC1D7ykuQ9A95cAAAENDOE4tQ6UpLkPasqZBAAAvQwlQLUOJKS5DpXZWPwAASEPaUS1DmikuQy+zzkEAADBDqlMtQ9UpLkOXFes/AAAvQ3tVLUM4Ki5Dc8hVPwAAQkNMVy1DwSouQ/ypnkEAAD5DHVktQ24rLkMcSX1BAAAaQ+5aLUM/LC5D+mGhwQAAJkO+XC1DMi0uQyXTAsEAACRDj14tQ0YuLkNk5CLBAAAmQ2BgLUN6Ly5DofcCwQAAIkMxYi1DzTAuQ84MQ8EAADdDAmQtQz4yLkMh3AxBAAAVQ9JlLUPNMy5DZZ7JwQAAK0OjZy1DeDUuQwxeTcAAACVDdGktQ0A3LkMFdBPBAAA1Q0VrLUMkOS5DcdvYQAAAPEMWbS1DJDsuQ7lNXEEAADhD5m4tQ0A9LkMBLBxBAAAiQ7dwLUN3Py5DbvdDwQAAI0OIci1DyUEuQ5EcNMEAACVDWXQtQzdELkNpQxTBAAA3Qyp2LUO/Ri5DCpQLQQAANkP6dy1DZEkuQ4jT9kAAABxDy3ktQyRMLkMeYZLBAAAfQ5x7LUMATy5D/e90wQAAC0NtfS1D+FEuQ+FHDcIAACVDPn8tQw1VLkPUUBXBAAAkQw6BLUNAWC5D+oMlwQAAOEPfgi1DkFsuQwNHGkEAAB9DsIQtQ/9eLkPo73XBAAAfQ4GGLUOMYi5Dxyh2wQAAG0NSiC1DOmYuQ9Mxm8EAACJDIootQwlqLkOUoEbBAAAdQ/OLLUP6bS5D0W+LwQAAIEPEjS1DDnIuQ98gZ8EAAChDlY8tQ0Z2LkPCyM7AAAAoQ2aRLUOkei5DdlTPwAAAF0M2ky1DKH8uQ0L5u8EAACJDB5UtQ9WDLkNWPUjBAAAjQ9iWLUOtiC5Dyoo4wQAAJkOpmC1DsI0uQ/7aCMEAACFDepotQ+GSLkMRLlnBAAAeQ0qcLUNCmC5DEsKEwQAAF0Mbni1D1p0uQ67uvMEAACND7J8tQ56jLkPiOTrBAAAzQ72hLUOeqS5DQsyKQAAAJkOOoy1D2K8uQ4L9CsEAABtDXqUtQ1C2LkN/sp3BAAAgQy+nLUMIvS5Dh9BrwQAAGEMAqS1DBsQuQy0gtsEAADhD0aotQ0vLLkNMSxNBAAAvQ6KsLUPe0i5D54g0PgAAIUNyri1DwtouQx2sXcEAACZDQ7AtQ/ziLkPGLw7BAAAWQxSyLUOT6y5DmFzHwQAAM0Plsy1DjPQuQ4VugUAAADhDtbUtQ+39LkMsIRBBAAAXQ4a3LUO+By9D8z3AwQAALUNXuS1DBxIvQ8qBBMAAACRDKLstQ9AcL0P/zDHBAAAyQ/m8LUMiKC9Ddfc1QAAAMEPJvi1DCDQvQ/33Sz8AACJDmsAtQ41AL0PLCFTBAAAtQ2vCLUO9TS9DKm8TwAAAGkM8xC1DpVsvQyzdqsEAADhDDcYtQ1ZqL0OeWglBAAAOQ93HLUPfeS9DfucFwgAAOEOuyS1DVIovQ8ZaB0EAABxDf8stQ8ebL0M73pzBAAAxQ1DNLUNRri9DWdeoPwAAI0Mhzy1DC8IvQ7AgTMEAAC1D8dAtQxHXL0M1xDXAAAA0Q8LSLUOD7S9Dqk+CQAAANUOT1C1DhAUwQ3NPn0AAACVDZNYtQz4fMEPm8zHBAAAxQzXYLUPeOjBD5CFFPwAAG0MF2i1Dl1gwQ7vEqsEAABND1tstQ6V4MEMoxevBAAAjQ6fdLUNKmzBDn7RZwQAALEN43y1D08AwQ2AamMAAABFDSeEtQ5jpMEPCTP/BAAAcQxnjLUMAFjFD/K+owQAAIUPq5C1DfkYxQ/MzgsEAAD1Du+YtQ557MUMlRjhBAAA2Q4zoLUP9tTFDU0CJQAAALENd6i1DWfYxQybLvsAAADBDLewtQ449MkOcYw/AAAAmQ/7tLUOkjDJDPcpIwQAAPkPP7y1D0+QyQ9iyMUEAABpDoPEtQ5NHM0OWPMrBAABGQ3HzLUOrtjNDqkqSQQAAGENB9S1DRDQ0Qx2i4cEAACBDEvctQwPDNEMaGKbBAAAuQ+P4LUMvZjVD6cXswAAAO0O0+i1D3SE2Q2fEm0AAADJDhfwtQzH7NkMWZp/AAAAVQ1X+LUO/+DdD/OILwgAAK0MmAC5DKCM5Q3oyYsEAADlD9wEuQ0eGOkNhI8O/AABPQ8gDLkPvMzxDi2CWQQAAOEOZBS5DfUo+Q6BPycAAADtDaQcuQ0EEQUMkiMDAAABnQzoJLkMJ2ERD3Z8IQgAAYkMLCy5Dg7RKQ+pbukEAAEtD3AwuQ31YVEPUhxXBAABWQ60OLkPbsGRDrQ1rwQCAi0N9EC5DFfp/Q1YvuEEAgJ9DThIuQ8CelUP7E55BAIDGQx8ULkM+abVDDrYIQgCA2UPwFS5DwvrfQ0dYT8EAwAZEwRcuQ4yGCUQGozHBAEAmRJEZLkObMSREWZkDQQAANURiGy5DSqk6RD8ptcEAwDREMx0uQ2c8RkQ344vCAMBDRAQfLkPoaEJEL4yrQADAM0TVIC5DXswwRGToPEEAQBJEpSIuQ9WYF0SUGqvBAIDoQ3YkLkMEIvpDHxANwgCAuUNHJi5DXtvKQ/LaCsIAAKRDGCguQ+WBpUN58kDAAICKQ+kpLkPZyYpD5bETvwAAeEO5Ky5Dh2hyQxrvskAAAFFDii0uQ32zXEPKNzvBAABdQ1svLkNQx09DBYtTQQAARkMsMS5DSBBIQwASBMAAAEtD/DIuQ588Q0MobPhAAAA8Q800LkOw+D9D+yt+wAAAT0OeNi5DKpM9Q7Jmi0EAAENDbzguQ9yzO0N4hOlAAAAqQ0A6LkNsLjpDXXOBwQAAQEMQPC5DrOo4Q3+q4kAAACxD4T0uQ7zZN0PAmz3BAAA5Q7I/LkNc8TZDH6kDQAAAN0ODQS5D8ik2Q6YNVj8AAFNDVEMuQ6Z9NUPQEuxBAAATQyRFLkPb5zRDbJ8HwgAAMEP1Ri5D5WQ0Q6GcjMAAADpDxkguQ87xM0M7xsFAAAArQ5dKLkMvjDND8MIIwQAAKUNoTC5DEDIzQ/kgI8EAAEBDOE4uQ9DhMkP94lFBAABXQwlQLkMYmjJDopcRQgAAEkPaUS5DxVkyQxVnAcIAAClDq1MuQ+cfMkNv/hHBAAA8Q3xVLkOv6zFDDEUhQQAAL0NMVy5DcLwxQwYcL8AAACVDHVkuQ5WRMUNJGUnBAAA4Q+5aLkOdajFDYKzSQAAALEO/XC5DG0cxQ2vjqMAAADNDkF4uQ7AmMUPXp+w/AAAjQ2BgLkMJCTFDk5BgwQAAJ0MxYi5D3u0wQ97dHsEAADNDAmQuQ+/UMEM5xApAAAArQ9NlLkMGvjBDscC3wAAANUOkZy5D8KgwQ/bhikAAACtDdGkuQ4SVMEOLsLLAAAA0Q0VrLkObgzBDJhlfQAAALUMWbS5DFHMwQ+XEXMAAACdD524uQ89jMEPrPBbBAAA6Q7hwLkOyVTBD5KQaQQAAMEOIci5DpUgwQ1lJkb4AAD9DWXQuQ5I8MEPiNmxBAAAqQyp2LkNmMTBDwizGwAAAJ0P7dy5DECcwQ/xwEsEAACVDzHkuQ38dMEP01zHBAAA2Q5x7LkOnFDBDMGu9QAAALUNtfS5DeQwwQzQeQ8AAADpDPn8uQ+sEMENVsR9BAAAhQw+BLkPy/S9DHt9vwQAAJkPggi5DhfcvQ1B4H8EAAB1DsIQuQ5zxL0PfjJfBAAAqQ4GGLkMv7C9D3oW9wAAAN0NSiC5DOOcvQwkZ40AAADNDI4ouQ7DiL0PoU0dAAAAkQ/SLLkOU3i9DPuk9wQAAKUPEjS5D3tovQ8Fb28AAACFDlY8uQ4vXL0O2eG3BAAAcQ2aRLkOZ1C9DyaSewQAAI0M3ky5DBtIvQ1wgTcEAAC5DCJUuQ9DPL0Mt6Oe/AAAhQ9iWLkP5zS9Dld9swQAAKUOpmC5DgswvQ02Q2cAAAB5DepouQ2/LL0N4W47BAAA0Q0ucLkPFyi9DYKeGQAAAK0Mcni5DjsovQ7BRmcAAACVD7J8uQ9jKL0OArSzBAAAjQ72hLkPAyy9DBrxMwQAALEOOoy5Dfc0vQ1Zfc8AAACRDX6UuQ37QL0PaBz3BAAAuQzCnLkOc1S9D/83qvwAAMkMAqS5Dbd4vQ8tkCEAAABpD0aouQ5PtL0OYbK/BAAAwQ6KsLkPqBjBDg0zdvAAADkNzri5DNS8wQ9a8CMIAACNDQ7AuQ/xqMEPHr1bBAAAxQxSyLkOWvDBDA9SGPgAAQkPlsy5DxSExQ9rxhkEAADBDtrUuQ5qRMUMyzci/AABPQ4e3LkMe+zFDDyfoQQAAHkNXuS5D/EUyQ98vosEAABdDKLsuQzpaMkPQ0drBAAA3Q/m8LkN3MDJDGvGZQAAAH0PKvi5Dk9gxQ5rElsEAADNDm8AuQ0lsMUNH28k/AAAqQ2vCLkNGATFDuijgwAAAQEM8xC5DEqUwQ9yudUEAACBDDcYuQ6tdMENZ7YLBAAAoQ97HLkNBKzBDDLQCwQAAN0OvyS5DegowQ82w3kAAACNDf8suQ6r2L0Odak/BAAAiQ1DNLkNs6y9DwLZewQAANkMhzy5DZuUvQ0xTw0AAABpD8tAuQ2LiL0MTE6/BAAA0Q8PSLkMY4S9DDt2DQAAAKEOT1C5D0+AvQ1wa/MAAACZDZNYuQznhL0OQEx7BAAAbQzXYLkMb4i9D2BCnwQAAPkMG2i5DX+MvQw7KYUEAACVD19suQ/bkL0NhTy7BAAAjQ6fdLkPV5i9DV21OwQAAN0N43y5D9ugvQ0rh4kAAACVDSeEuQ1HrL0MWtS7BAAAtQxrjLkPk7S9DEnk7wAAAI0Pr5C5Dq/AvQ7YKT8EAABdDu+YuQ6TzL0MjncfBAABGQ4zoLkPO9i9Dk0mwQQAAJUNd6i5DJvovQ2WiL8EAAB1DLuwuQ679L0Nu7ZfBAAAfQ//tLkNkATBDHwuIwQAAMUPP7y5DSQUwQ/y2ej8AABxDoPEuQ14JMEPuSqDBAAA2Q3HzLkOjDTBDnku+QAAANUNC9S5DGhIwQ7m8nUAAAB5DE/cuQ8UWMEMmtpDBAAAwQ+P4LkOlGzBDECTdvQAAI0O0+i5DvCAwQ7wLUsEAABxDhfwuQw0mMENoMKHBAABVQ1b+LkObKzBDlFETQgAALEMnAC9DaTEwQyothsAAACpD9wEvQ3s3MENs78bAAAAoQ8gDL0PVPTBDVd0DwQAAKUOZBS9DfEQwQ3uP6MAAAClDagcvQ3RLMEODbunAAAAoQzsJL0PEUjBDPSwFwQAAG0MLCy9DclowQ4zTqsEAACRD3AwvQ4RiMENHKEbBAAAoQ60OL0MFazBDTLAGwQAAEEN+EC9D/HMwQ+7PAcIAACZDTxIvQ3N9MEMy1yfBAAAsQx8UL0N3hzBD4+6QwAAAHEPwFS9DFZIwQ6WQpMEAABpDwRcvQ1udMEPU6rTBAAAPQ5IZL0NaqTBDZ6UGwgAAGENjGy9DJrYwQy2xxcEAAC5DMx0vQ9TDMEMF9TDAAAAoQwQfL0N/0jBD6ScNwQAAJEPVIC9DQuIwQyQkTsEAACBDpiIvQ0HzMEMHmofBAAAwQ3ckL0OiBTFD4NCCvwAALkNHJi9DkxkxQ6dkRsAAAC9DGCgvQ0kvMUNL0gvAAAAjQ+kpL0MFRzFDS3BkwQAAKUO6Ky9DEGExQwQRBsEAADRDii0vQ8V9MUO5jiBAAAAfQ1svL0OOnTFDdOyUwQAALUMsMS9D7sAxQ7IdmMAAABRD/TIvQ3/oMUP8Q+/BAAApQ840L0MFFTJDSlARwQAAJ0OeNi9Da0cyQ6p2NMEAAChDbzgvQ9uAMkOpDSjBAAAvQ0A6L0PPwjJDxbNwwAAAI0MRPC9DPA8zQ995gMEAACRD4j0vQ99oM0PzjXbBAAA9Q7I/L0P50zNDcMASQQAAQEODQS9D41c0Q9SBOkEAADVDVEMvQ2YCNUMceBm8AABKQyVFL0MK7jVDrY+gQQAAPkP2Ri9DcEw3Q/5x1kAAACNDxkgvQ0x0OUNeorPBAABYQ5dKL0MU7zxDYofYQQAAXENoTC9DJn1CQ9MWzEEAAGZDOU4vQw8DS0OG59dBAAB/QwpQL0OUVFdDrq0eQgAAfUPaUS9Dy91nQ6YRqUEAgIhDq1MvQ2Y8fEPPHKZBAACUQ3xVL0NIcolDgtuoQQAAlkNNVy9DCHKUQz38RkAAgKVDHlkvQ/T0nEPFsIhBAICtQ+5aL0PioaBD4+HNQQCArkO/XC9DYjqeQ/EsAkIAgKpDkF4vQ4iblkPCIx9CAACmQ2FgL0O9BYxDFNJPQgAAlUMyYi9DSrmAQ7E1IkIAgIFDAmQvQ6CfbEP+ArNBAABjQ9NlL0M8WltDcrj0QAAAS0OSZS9D+jVOQ3x+TcAAAF5DUWUvQzPvRENshshBAAAvQw9lL0Pnxz5DdH58wQAAN0POZC9DleE6Q15leMAAAEVDjWQvQ/p2OENbkEhBAAAwQ0xkL0O49DZD8ZbewAAAM0MKZC9D1vk1Q451PsAAADBDyWMvQ5FMNUMckqnAAAAyQ4hjL0PtzDRDQzszwAAAUkNHYy9D8Gk0Q36w7EEAADVDBWMvQ5IaNEPHbWU/AAAnQ8RiL0PB2TNDF5xNwQAAJUODYi9DXqQzQ+JFasEAACxDQmIvQ0h4M0P7CO/AAAAvQwFiL0PvUzND0n2KwAAAMUO/YS9DHzYzQ6mHDcAAAEJDfmEvQ+YdM0OmIW5BAAArQz1hL0OCCjNDHKgAwQAAMUP8YC9DV/syQ6Wr/b8AADxDumAvQ+jvMkN7ARFBAAAvQ3lgL0PP5zJDtfN5wAAAQkM4YC9DuOIyQ3zUcUEAADND918vQ2LgMkPV8Pw9AAArQ7VfL0OW4DJDwxL8wAAAJUN0Xy9DKuMyQ6UyXsEAADdDM18vQ/3nMkNaAINAAAA4Q/JeL0P27jJDTiGiQAAAO0OwXi9DAfgyQ+5/AEEAADJDb14vQxQDM0P6iYG/AAAsQy5eL0MoEDND8gTiwAAAM0PtXS9DOx8zQ3zW+b0AAE1Dq10vQ1EwM0N1fc5BAAAoQ2pdL0N0QzNDOTc0wQAAIUMpXS9DrlgzQ3TFksEAADZD6FwvQxRwM0Mf+yNAAAAnQ6ZcL0O5iTNDkZtIwQAAQUNlXC9DuqUzQ1ykVUEAADxDJFwvQzfEM0OLvANBAABMQ+NbL0NW5TNDT9XAQQAAM0OhWy9DQgk0QyehhL8AADBDYFsvQy4wNEPLBYbAAAA5Qx9bL0NUWjRDh7WUQAAALkPeWi9D9Ic0Q4n+0MAAAC9DnFovQ1u5NENXK7fAAABGQ1taL0Pc7jRDHomIQQAAR0MaWi9D2ig1QzK5jkEAAE9D2VkvQ8JnNUPywcxBAABMQ5dZL0MSrDVDbp+yQQAANENWWS9DW/Y1Q5Yt+78AAAlDFVkvQ0JHNkMHHTXCAAAzQ9RYL0ODnzZDx+BnwAAAN0OSWC9D+v82Q7TEwDgAACZDUVgvQ6NpN0MVTYvBAAAmQxBYL0Oi3TdDD+2OwQAAPUPPVy9DTV04Q2tWlEAAADVDjVcvQzLqOEN6jHrAAABCQ0xXL0MmhjlDnp0HQQAAK0MLVy9DUzM6Qyo1c8EAAEpDylYvQ0j0OkOCu3BBAABYQ4hWL0MVzDtDVZ/hQQAARkNHVi9DaL48Q4QZFEEAAD1DBlYvQ7DPPUOQr0+/AAAqQ8VVL0NUBT9DoiqowQAANkODVS9D+WVAQ5FfJsEAAENDQlUvQ+H5QUOdD4M/AAAxQwFVL0OOy0NDcVyWwQAANEPAVC9D7ehFQ2dHj8EAAENDflQvQ7hlSEPytqzAAABJQz1UL0OkYEtDASkYwAAAS0P8Uy9DVw5PQ+PKgcAAAEhDu1MvQxLPU0Ma8TzBAABRQ3lTL0OKVVpDoFgVwQAAZ0M4Uy9DBORjQ+z+RkAAgIxD91IvQ7OcckM0jRlCAICPQ7ZSL0NS6IRD43qpQQAAokN1Ui9DfQ+XQzAIr0EAgMVDM1IvQ4yQskOeexdCAIDkQ/JRL0OGMtpDn9ekQQAAEUSxUS9DLOoHREJdEUIAQCtEcFEvQzanKUT7ZMxAAEBaRC5RL0OWrlBEpxYZQgAAcUTtUC9DkWd5RBZ5BsIAwIxErFAvQysIj0SwCpLBAECeRGtQL0NvmptELmSpQQBgo0QpUC9D6AKfRAmjC0IAoJhE6E8vQyI1mEQ8u1VAAACJRKdPL0P+TolEvvwdwACAdERmTy9DexdsRE2IBkIAAEZEJE8vQ5DHQ0QVHA5BAAAWRONOL0Nilx5EJHYJwgCA80OiTi9Dy6b+Q7ZsssEAALNDYU4vQ7z7zUPe3VfCAICLQx9OL0O/japD+G14wgCAhEPeTS9DUS6SQxbl2sEAAIFDnU0vQ+EggkOycBDAAAB0Q1xNL0ONpG9Dam6LQAAAYkMaTS9DB21iQ04O2r4AAGND2UwvQ2+6WUMNWRRBAAA8Q5hML0OTtlNDm7S9wQAAQ0NXTC9DRktPQ1q0RMEAAFNDFUwvQ2LcS0O2c+RAAABNQ9RLL0MzFElDXPN6QAAARkOTSy9D0sJGQ0/SQr8AAFpDUksvQ9fLRENJoalBAABIQxBLL0PYHEND/WScQAAASEPPSi9D1ahBQ2TlykAAADxDjkovQwBmQEPxv4zAAABRQ01KL0OmTD9DzpqNQQAAOEMLSi9Dm1Y+Q1/TysAAADpDykkvQ9Z+PUNitV/AAABKQ4lJL0M0wTxDwuxTQQAAN0NISS9DSxo8Q2JJo8AAADtDBkkvQ0OHO0NfQwe/AAA2Q8VIL0O9BTtDmbegwAAAOUOESC9DuZM6Q5Tcyb8AAFVDQ0gvQ4svOkOng9ZBAAAxQwFIL0PI1zlDg3wNwQAAR0PARy9DPos5QyBMV0EAADlDf0cvQ+lIOUPa0pG+AAA4Qz5HL0PvDzlDo/eHvwAAP0P8Ri9Dl984QykNxEAAAC1Du0YvQ0W3OENJdDvBAABEQ3pGL0N3ljhDjJg2QQAASUM5Ri9DxHw4Q98ZhEEAAC1D90UvQ9VpOENInTbBAAAyQ7ZFL0NkXThDgazLwAAAIUN1RS9DP1c4Q/e5usEAAFBDNEUvQ0FXOEP6Rb1BAAA3Q/JEL0NUXThD5KmuvwAAN0OxRC9DcGk4Q/23tL8AAC1DcEQvQ5t7OEOwuTfBAAA4Qy9EL0PokzhDFugTvwAAV0PtQy9DeLI4Q0Bs8kEAAElDrEMvQ3rXOEM0RIFBAABBQ2tDL0MqAzlDtJr/QAAAPkMqQy9D2DU5QwZFmUAAAFhD6EIvQ+BvOUMAgfRBAABDQ6dCL0O0sTlDx+QUQQAAS0NmQi9D2Ps5Q0MhiEEAADdDJUIvQ+hOOkP9uVPAAABLQ+RBL0OaqzpDLqOCQQAAO0OiQS9DwRI7Q6IKlr0AAFhDYUEvQ1KFO0N01eNBAAA/QyBBL0NmBDxDjuY+QAAAPUPfQC9DRpE8QxJ03T4AAD1DnUAvQ24tPUM4uTW+AABiQ1xAL0OZ2j1DnZUQQgAAOUMbQC9DyJo+Q/JYs8AAAEJD2j8vQ1RwP0Ps6iNAAAA5Q5g/L0P/XUBD8L/rwAAAVUNXPy9DBmdBQ87HnEEAAEVDFj8vQzyPQkPmMBxAAABGQ9U+L0Mt20NDuTQJQAAAKEOTPi9DRVBFQySC6sEAAFFDUj4vQwX1RkOwryBBAAA5QxE+L0NN0UhDzhR9wQAAUEPQPS9Dtu5KQzUpokAAAFVDjj0vQyZZTUM92/RAAABLQ009L0O5H1BDLvejwAAAYUMMPS9DhVZTQ6yXWkEAAFZDyzwvQx8aV0NtD42/AABpQ4k8L0PjlltDzpFWQQAAdUNIPC9DfBdhQx1En0EAAGxDBzwvQwIgaEOD/3dAAAB1Q8Y7L0MynHFDmfNYQACAmEOEOy9DdyV/QyVqR0IAgI9DQzsvQ8OuiUORJzpBAICeQwI7L0PrJJlDpGIrQQCA0kPBOi9DUMKwQ8H2hkIAANNDfzovQ3QB1EMPugDAAIATRD46L0MqSwNEraaBQgBAL0T9OS9DsMklRP9kF0IAQFdEvDkvQ5EdUkTZTaRBAMCDRHo5L0NvroNEEIsMPwAAmkQ5OS9DPkOhRL5naMIAYLlE+DgvQzkRv0QQJzbCAMDTRLc4L0OSFdlETrIqwgBg40R1OC9DY3LqRFVMYsIAoOZENDgvQ6b17kRaWoXCAEDpRPM3L0PLauVELE31QQDA10SyNy9Ds3DQRJfpaUIAgLpEcDcvQ/++tEQSIDhCAACaRC83L0N88ZZEAaHDQQDAckTuNi9DsQF1RCxsEMEAQDxErTYvQ4s6Q0RtUd/BAIAcRGs2L0NlpRpEuE3tQACA80MqNi9DhxH3Q6Zh5MAAgMxD6TUvQ0jbyUPnLalAAACrQ6g1L0OMcKpDBXSPPwCAmUNmNS9DN1CVQxD5BUEAAJRDJTUvQzFYh0PxfMpBAABnQ+Q0L0MyJ3xDlDmpwQAAdkOjNC9DFYlvQ1bdzkAAAFxDYTQvQ+COZkMA7ijBAAB/QyA0L0P00l9DYGj5QQAAVkPfMy9D1INaQ4d6kMAAAHdDnjMvQ3QpVkMvWgNCAABuQ1wzL0NqflJDrwzcQQAAWkMbMy9DyVhPQ3JzKkEAAF5D2jIvQ2GdTEP3FItBAABaQ5kyL0MiOUpD3G18QQAAfUNYMi9Dwx1IQ/SIU0IAAEVDFjIvQw5ARkMCB6C/AAA+Q9UxL0P4lkRDDN/SwAAAXUOUMS9DFhtDQ1Inz0EAAExDUzEvQz7GQUMonCNBAABOQxExL0NJk0BDastWQQAAPUPQMC9D5H0/QwN5H8AAAGdDjzAvQ2OCPkN19iFCAAA+Q04wL0OnnT1D4LHEPgAAP0MMMC9DB808Q1++DEAAAFNDyy8vQzcOPENHjrdBAABMQ4ovL0NAXztDAgaFQQAASENJLy9Da746Q1IZVEEAAEdDBy8vQzwqOkM8XE1BAAA+Q8YuL0NooTlD/NKLQAAAQ0OFLi9DzCI5Qz7THUEAADNDRC4vQ2mtOEMlrbXAAAA9QwIuL0NeQDhDM/SXQAAAPkPBLS9D5do3Q1qjxEAAAENDgC0vQ018N0MqOzhBAABBQz8tL0P6IzdDWcAdQQAALUP9LC9DYdE2Qw0WHcEAADdDvCwvQwSENkNw+Pc+AAA1Q3ssL0N0OzZD3bmdvwAAS0M6LC9DTPc1Q51FqEEAADFD+CsvQzO3NUNw5pbAAABJQ7crL0PYejVDQimcQQAAM0N2Ky9D8EE1Q+h7EMAAADNDNSsvQzkMNUMlDgPAAABCQ/MqL0N22TRDnGhSQQAAHkOyKi9Dcqk0Q45LtcEAAENDcSovQ/l7NENtQGhBAABJQzAqL0PfUDRDCHmlQQAAQEPuKS9D+ic0Q2WAPUEAAD1DrSkvQyMBNEPP7Q9BAAA6Q2wpL0M43DND83jEQAAAKkMrKS9DGrkzQ5uRG8EAACZD6SgvQ6qXM0OZelnBAAA5Q6goL0PNdzNDXgaxQAAARUNnKC9Da1kzQ6Y0jUEAADFDJigvQ208M0NUGw/AAABGQ+QnL0O+IDNDEPqWQQAALkOjJy9DSgYzQz3JoMAAACtDYicvQ//sMkPdn/3AAAA+QyEnL0PM1DJDOrMyQQAAVkPfJi9Do70yQ3UJDUIAAD1DniYvQ3SnMkO/iCVBAAAuQ10mL0MzkjJDWkaSwAAAK0McJi9D030yQ1+678AAACND2iUvQ0lqMkOUpHbBAAAuQ5klL0OLVzJDa/GKwAAAMUNYJS9DkEUyQ9vHor8AADRDFyUvQ040MkMl2eU/AAA6Q9UkL0O+IzJDT4j7QAAAPkOUJC9D2BMyQ33CPkEAACpDUyQvQ5gEMkN9SQDBAAAvQxIkL0P49TFD7309wAAAQkPQIy9D9ecxQ1bAgEEAAC9DjyMvQ5HaMUM8pDbAAABCQ04jL0PQzTFDfZGBQQAAPUMNIy9DwsExQ+DjM0EAAF5DyyIvQ4K2MUP3JTFCAAAyQ4oiL0NCrDFDnHynPgAAHkNJIi9DTaMxQ2cancEAAD9DCCIvQxCcMUP9PlZBAAA4Q8chL0MYlzFDDh3NQAAAPkOFIS9DA5UxQ9WvRkEAADdDRCEvQ2yWMUN4Mq1AAAAyQwMhL0PDmzFDannIPgAATEPCIC9DHKUxQx/X0kEAAEBDgCAvQwGyMUPr32RBAABIQz8gL0NOwTFDk/WxQQAANkP+Hy9DE9ExQ67dhUAAACtDvR8vQ5TeMUNx0tvAAAA6Q3sfL0N85jFDQZgBQQAARUM6Hy9DqOUxQ8PSmEEAAC5D+R4vQ37aMUOEn3bAAAAnQ7geL0PfxTFD710swQAAMkN2Hi9DmaoxQzXOqj4AAEZDNR4vQweMMUPHn6NBAABNQ/QdL0MRbTFDeZfcQQAAWEOzHS9D1E8xQ7HAGkIAAEhDcR0vQ6E1MUP2UrZBAABMQzAdL0MZHzFDNAfXQQAAPkPvHC9DTQwxQy47T0EAADxDrhwvQ+n8MENsMTBBAAA/Q2wcL0Nk8DBDx/lgQQAAOkMrHC9DIeYwQ/idEUEAAC9D6hsvQ4/dMENcx+6/AAAvQ6kbL0M11jBDqRrrvwAALkNnGy9Duc8wQzLuM8AAAEJDJhsvQ9nJMEM7sYlBAAA1Q+UaL0NqxDBDxXKHQAAAIUOkGi9DUb8wQxX1e8EAADpDYhovQ366MEMdWBRBAABIQyEaL0PmtTBDz1C6QQAAKEPgGS9DgrEwQygYC8EAADFDnxkvQ0+tMEO5YaU+AAA8Q10ZL0NJqTBDb2s1QQAAMUMcGS9DbqUwQxAktT4AACND2xgvQ7yhMEPDG1rBAAAvQ5oYL0MynjBDGhnPvwAAPENYGC9Dz5owQxFTNkEAADBDFxgvQ5GXMENhkRe/AAAsQ9YXL0N5lDBDGI+SwAAALEOVFy9DhJEwQ40wksAAADVDUxcvQ7SOMEOFKY5AAAA6QxIXL0MHjDBDlT8XQQAANUPRFi9DfYkwQ2vQjkAAAEFDkBYvQxaHMENTx4NBAAAxQ04WL0PRhDBDIV32PgAAMEMNFi9DsIIwQ0KwAr8AAEJDzBUvQ7KAMENu+otBAAAzQ4sVL0PYfjBDHkogQAAAE0NJFS9DIX0wQwXp68EAADpDCBUvQ457MEMiRxhBAAA2Q8cUL0MgejBDALywQAAAJUOGFC9D2HgwQ3qNN8EAACRDRBQvQ7Z3MENZe0fBAABHQwMUL0O7djBDKkq0QQAAJ0PCEy9D6HUwQ4ZeF8EAADhDgRMvQ0B1MEMMWPFAAABLQz8TL0PCdDBD8FnUQQAAPkP+Ei9DcXQwQ/G4WEEAADZDvRIvQ050MEM3drFAAAA0Q3wSL0NcdDBD+OhiQAAAM0M7Ei9DnXQwQ9rYIkAAADND+REvQxJ1MENxuyJAAAAqQ7gRL0PAdTBD+bfOwAAAMEN3ES9DqHYwQ7FQ7b4AADJDNhEvQ893MENTGMQ/AAA5Q/QQL0M5eTBDdmwIQQAAQUOzEC9D6HowQ70ohEEAAEBDchAvQ+R8MEPHMXhBAABGQzEQL0MvfzBDhgasQQAAQ0PvDy9D0YEwQ3Txk0EAACVDrg8vQ9GEMEMNTTjBAAA9Q20PL0M1iDBDs3xHQQAAL0MsDy9DBowwQ94Cxr8AADBD6g4vQ02QMEP8TBC/AAA4Q6kOL0MVlTBDW13tQAAAM0NoDi9DapowQ3ZlGUAAADtDJw4vQ1qgMENn+iVBAAAwQ+UNL0PzpjBDuvImvwAAP0OkDS9DR64wQ44bZUEAAEJDYw0vQ2u2MEOrTIpBAAAxQyINL0N0vzBDdheBPgAAMUPgDC9DfskwQ20HWj4AADRDnwwvQ6fUMENd1kpAAAAeQ14ML0MR4TBDhAiXwQAAQUMdDC9D5e4wQ9uIgEEAADFD2wsvQ1L+MEOFxNY7AAA5Q5oLL0OSDzFDzQ3+QAAAMkNZCy9D5CIxQzEcXT8AADhDGAsvQ5g4MUMM7dhAAAA8Q9YKL0MMUTFDOu8qQQAANkOVCi9DuWwxQ+VokkAAAD5DVAovQziMMUOHPEdBAAA/QxMKL0NdsDFDMvpUQQAAJUPRCS9DX9oxQ/ilTcEAAC5DkAkvQyIMMkM5hIHAAAAeQ08JL0OtSDJDaEWiwQAARUMOCS9D95QyQ0lYk0EAADdDzAgvQwT5MkN834BAAABEQ4sIL0NugTNDjfSDQQAAJkNKCC9DLkE0Q94SZMEAAFpDCQgvQ1RTNUOvshJCAABOQ8cHL0MZ3DZDNx+5QQAAOEOGBy9DYgg5Q/wwhL8AADBDRQcvQ9MKPEM2rUDBAABGQwQHL0O+FUBDR0i9QAAAV0PCBi9D1VFFQ1txjUEAADNDgQYvQ4/SS0N7lMbBAABAQ0AGL0PyiVNDkU+cwQAASUP/BS9DxT1cQybumcEAAF1DvQUvQ6B/ZUMF+gfBAABjQ3wFL0NXqG5DdIU6wQAAZUM7BS9D9th2Q63HjsEAAH5D+gQvQ5oLfUOHZXQ/AACAQ7gEL0NwI4BDFcGNvgAAiEN3BC9D7/R/Q4ZYgEEAAG9DNgQvQ40qfEPYqFLBAABkQ/UDL0NInHVDP+KMwQAAf0OzAy9DKUxtQ7qejUEAAFVDcgMvQ4o3ZEOieHPBAABLQzEDL0McLVtD4GiBwQAAZEPwAi9DZMJSQ+DsiUEAAFxDrwIvQydWS0PKToVBAAA5Q20CL0MBF0VDCnBBwQAAQEMsAi9DTgxAQ2bnRL0AADtD6wEvQ80gPENNZpC/AAA2Q6oBL0OvLTlDomtLwAAAUUNoAS9DoQQ3Q/baz0EAAC1DJwEvQ4Z3NUNleAfBAABKQ+YAL0NqXTRDsBStQQAAMkOlAC9D5pQzQ8Fyyr8AAD1DYwAvQ4cEM0OKtx9BAAAxQyIAL0MBmjJDswDNvwAAMUPh/y5DxUgyQ6xipL8AAD5DoP8uQ4oIMkNfdz9BAAAyQ17/LkP+0zFDpQYwPgAAMUMd/y5DxacxQ3bFJ78AACRD3P4uQ76BMUPkG1jBAAA5Q5v+LkOIYDFD/u7zQAAAGUNZ/i5DNkMxQ68ZwsEAAC5DGP4uQyApMUMRSErAAABFQ9f9LkPKETFDsHGfQQAAQEOW/S5D0vwwQ+YycEEAAC5DVP0uQ+jpMEMKejrAAAAxQxP9LkPM2DBDbM8cPgAALEPS/C5DR8kwQ9EomcAAAC1DkfwuQyi7MEMfym7AAAAyQ0/8LkNKrjBDGduoPwAANEMO/C5DiKIwQwheV0AAAEtDzfsuQ8WXMEPaQdNBAABAQ4z7LkPmjTBDmyF3QQAAOENK+y5D1oQwQ0Rl70AAAEVDCfsuQ4B8MEMEHKRBAAApQ8j6LkPSdDBDOZruwAAAO0OH+i5DvW0wQywkKUEAAC9DRfouQzRnMEMymrO/AAAxQwT6LkMrYTBD59QePwAAR0PD+S5Dl1swQ0ojtUEAADRDgvkuQ25WMEOUZGpAAABLQ0D5LkOoUTBDxHLVQQAAL0P/+C5DPU0wQ1yepr8AADdDvvguQyZJMEM029ZAAABAQ334LkNeRTBDGap7QQAALkM7+C5D30EwQ9h3EMAAADRD+vcuQ6Q+MEPvVnBAAAAzQ7n3LkOpOzBD1xUxQAAAP0N49y5D6DgwQ3lxbEEAADZDNvcuQ2A2MEP+M7lAAAAuQ/X2LkMMNDBDCwMNwAAAP0O09i5D6jEwQ2ThbEEAAENDc/YuQ/YvMENPgJZBAAArQzH2LkMvLjBD1sWlwAAARkPw9S5DkSwwQ3WbrkEAAEFDr/UuQxwrMEMhp4ZBAAAvQ271LkPNKTBDU+aUvwAAT0Ms9S5DoigwQ/K69kEAAD1D6/QuQ5onMENkhk1BAAAuQ6r0LkOzJjBDzKwJwAAARENp9C5D7SUwQ5rQnkEAAC9DJ/QuQ0UlMEOyopK/AABEQ+bzLkO8JDBDIdqeQQAAN0Ol8y5DTyQwQxJ220AAAEZDZPMuQ/8jMEMI4K5BAABEQyLzLkPKIzBDsOGeQQAAKUPh8i5DryMwQ+515MAAAD1DoPIuQ68jMEMSxU1BAAArQ1/yLkPIIzBD93ikwAAAQUMe8i5D+SMwQzXghkEAACpD3PEuQ0QkMENxiMTAAAAvQ5vxLkOmJDBDz1KSvwAAJkNa8S5DHyUwQ/ZRIsEAADxDGfEuQ7AlMEP5pD1BAAA6Q9fwLkNZJjBDdZodQQAAJUOW8C5DGCcwQ3xxMsEAAElDVfAuQ+4nMEOUwMZBAAA2QxTwLkPaKDBDxOS6QAAAF0PS7y5D3SkwQ+ZOycEAABxDke8uQ/YqMEOwV6HBAAA7Q1DvLkMmLDBDpT0tQQAAGUMP7y5DbC0wQ15rucEAAEFDze4uQ8guMEO+iYZBAABIQ4zuLkM7MDBDJn6+QQAAJUNL7i5DxTEwQ1AcM8EAACxDCu4uQ2UzMEOubIbAAAAiQ8jtLkMdNTBDzVFjwQAAJUOH7S5D6zYwQ7VuM8EAAFpDRu0uQ9E4MEO7HCdCAABFQwXtLkPPOjBDiymmQQAATkPD7C5D5DwwQ+AY7kEAADpDguwuQxI/MEPoDhxBAAAiQ0HsLkNYQTBDehVkwQAAMEMA7C5Dt0MwQzBth74AAC5DvusuQy9GMEO6ixHAAABEQ33rLkPBSDBD+LmdQQAALkM86y5DbUswQ0/bEsAAADFD++ouQzROMEPQyzE/AAA3Q7nqLkMWUTBDNN3VQAAAOEN46i5DFFQwQ3Z99UAAADlDN+ouQy9XMEMWjQpBAABIQ/bpLkNmWjBD0Cy9QQAAL0O06S5Du10wQ3Pdrr8AAD5Dc+kuQy5hMEMd7VlBAABDQzLpLkPBZDBD/NmUQQAAQEPx6C5Dc2gwQ9R4eUEAACtDr+guQ0ZsMEOziK3AAABCQ27oLkM6cDBDMX6MQQAAPkMt6C5DUXQwQ/a6WEEAACVD7OcuQ4t4MEOriDfBAABAQ6rnLkPpfDBDcDF4QQAAIENp5y5DbYEwQ2YLhMEAAEBDKOcuQxeGMEOUnndBAAA1Q+fmLkPoijBD86KOQAAAUEOl5i5D448wQ+qA+0EAADNDZOYuQweVMEM7vhpAAAAsQyPmLkNXmjBD1kqTwAAAN0Pi5S5D058wQ6MFzEAAADtDoOUuQ32lMEMtqCVBAAA5Q1/lLkNXqzBDj0oFQQAANkMe5S5DYrEwQ77TqUAAADhD3eQuQ6C3MEMGDOlAAAAjQ5vkLkMSvjBDIeFbwQAASUNa5C5Du8QwQyvawUEAAD1DGeQuQ5vLMENJRkNBAABMQ9jjLkO20jBDTWrZQQAAMkOW4y5DDtowQzL5kj8AADJDVeMuQ6PhMENZLo8/AABBQxTjLkN66TBDMrSAQQAAV0PT4i5Dk/EwQ7M5GEIAAEtDkuIuQ/P5MENqMNBBAABYQ1DiLkOaAjFDl/UbQgAAJUMP4i5DjQsxQ9O4QMEAAERDzuEuQ84UMUOPWZdBAAAyQ43hLkNgHjFDv59hPwAAKkNL4S5DRygxQ9oI5cAAAC1DCuEuQ4UyMUOnUIbAAAA8Q8ngLkMfPTFDDi4sQQAAMEOI4C5DGEgxQx8MpL8AADpDRuAuQ3VTMUO2yApBAAA9QwXgLkM5XzFDdww6QQAAJkPE3y5DaGsxQ4a2NsEAADFDg98uQwl4MUO6EfC+AAApQ0HfLkMfhTFD71EIwQAAK0MA3y5DsJIxQ/xV0sAAAEJDv94uQ8GgMUP2+YJBAAA7Q37eLkNZrzFDcwoVQQAAIkM83i5Dfb4xQ87ne8EAACBD+90uQzTOMUOgcY7BAAA3Q7rdLkOF3jFDXi+kQAAAFkN53S5DeO8xQ71738EAADRDN90uQxMBMkNUdv8/AABCQ/bcLkNhEzJD9cl+QQAAOUO13C5DaCYyQ/Qy20AAAB5DdNwuQzQ6MkOf0aHBAABBQzLcLkPNTjJDLBNrQQAAJUPx2y5DP2QyQ/FDVsEAADJDsNsuQ5V6MkNdKfW+AAA3Q2/bLkPakTJDucSNQAAANEMt2y5DHaoyQ7jxqj8AADBD7NouQ2rDMkNi2jDAAAA3Q6vaLkPQ3TJDBEaEQAAAPUNq2i5DX/kyQwtqIEEAADRDKNouQykWM0Mr12k/AAAgQ+fZLkM+NDND9KGZwQAASkOm2S5DtFMzQ2NitUEAAElDZdkuQ510M0MWW6xBAAAtQyPZLkMSlzNDMuLSwAAAMEPi2C5DKbszQzbKbsAAAENDodguQ/3gM0Mw8HFBAABFQ2DYLkOqCDRDsLqHQQAAOkMe2C5DTjI0Qzq2uUAAADdD3dcuQwpeNEN7fShAAAAvQ5zXLkMBjDRDIYCxwAAAMkNb1y5DWbw0Q1EWL8AAAD5DGdcuQzzvNEM7DBFBAAAuQ9jWLkPXJDVD5JrkwAAAI0OX1i5DW101Q9bqksEAAD5DVtYuQ/yYNUM5cAZBAAApQxTWLkP21zVDZX9NwQAARkPT1S5DiBo2Q4NXfkEAAEdDktUuQ/ZgNkNO+IRBAAA4Q1HVLkOOqzZDPDmqPwAAWEMP1S5Dofo2Q3wVBEIAADdDztQuQ4xON0MLGJ2+AABIQ43ULkOzpzdDZcKCQQAAOkNM1C5DhgY4Qxu9/D8AADFDCtQuQ35rOEO+b+3AAAA6Q8nTLkMj1zhDZW6UPwAAQUOI0y5DDEo5Q4a+9kAAAEhDR9MuQ9/EOUMXsmNBAAA0QwbTLkNVSDpDoQrJwAAAMkPE0i5DPtU6Q+NTDcEAAEZDg9IuQ4JsO0PnNylBAABsQ0LSLkMiDzxDd8M/QgAAS0MB0i5DRL48Q8YbZEEAAE9Dv9EuQy57PUORJoxBAAA+Q37RLkNURz5DG6iOvgAAK0M90S5DXCQ/Q94iocEAAEtD/NAuQycUQEOVvS5BAABLQ7rQLkPhGEFD8nEeQQAARkN50C5DFDVCQ/u6ckAAAEhDONAuQ8drQ0Mgh5JAAAA7Q/fPLkOuwERD3wocwQAAVkO1zy5DejhGQ2V4fEEAAEZDdM8uQ1fZR0Nnq+y/AABcQzPPLkO3q0lDR6KSQQAAREPyzi5Di7tLQ1px98AAAG9DsM4uQxYaTkOqlwNCAABUQ2/OLkOU4FBD+tpHQAAAW0Muzi5D4zNUQ5aD2UAAAHhD7c0uQ0lJWEO1tf1BAABcQ6vNLkNbbF1DRi22vwAAcUNqzS5DsgVkQ+OkT0EAAHVDKc0uQ9ahbEOm4gVBAICGQ+jMLkMv93dDhkaoQQAAk0OmzC5DwXSDQ/Wz+EEAgKFDZcwuQ3dEjUNG3CFCAACXQyTMLkNABZpD90/BwAAAnEPjyy5DM1yqQy/D5cEAgLlDocsuQ3rsvkNOjy3BAADSQ2DLLkNRRthDK8pIwQAAAUQfyy5Dd9L2Q43YskEAABVE3souQ+xdDUSGQvRBAAAhRJzKLkPY7CFERthswADAMURbyi5DRs44RMPI4cEAQFBEGsouQ+N/UURi8Z/AAMBfRNnJLkMhQGtEFwI4wgCAfESXyS5DIIaCRALECMIAQIREVskuQ+/QjkTrDqnCAOCTRBXJLkP+w5lEsX88wgDAn0TUyC5D4pOiRIv4tMEAQKJEksguQ01/qESk6UfCAGCxRFHILkNE9KpEd3dNQgCgrEQQyC5Dt7WpRDGSukEAYKJEz8cuQ6vtpES/aqPBAGCrRI3HLkNKIJ1EZPvjQgAgn0RMxy5D5weTRJeBwUIAYI1EC8cuQ71th0RWSD5CAAB4RMrGLkPmG3ZE9wzyQACAZUSIxi5D4BJdRPvRBkIAAFBER8YuQ3HCRET22DNCAMAjRAbGLkPV7C1EWM0iwgBAHUTFxS5DXRgZRF/0hEEAgAJEg8UuQyWVBkShpILBAADsQ0LFLkOrCO1DWlUEwACAzEMBxS5DMMHRQwMmKMEAgLlDwMQuQ6IOu0PtUEfAAICiQ37ELkO8g6hDkHdAwQAAmUM9xC5DTZyZQ29NnL8AAIdD/MMuQ73LjUOtd1nBAABuQ7vDLkNaiIRDmoXYwQAAZ0N5wy5DXKZ6Q98yncEAAGhDOMMuQ1x5b0ONK+/AAABfQ/fCLkNtzWZDrK35wAAAXUO2wi5DFQlgQ0dFQsAAAHRDdcIuQ/iyWkNAaMpBAABkQzPCLkOnbVZDiiVZQQAAVEPywS5D3PJSQyWShj8AAGJDscEuQ8AOUEMEio9BAABFQ3DBLkOxm01DD7sJwQAATEMuwS5Dq35LQ5hUAT8AAD1D7cAuQ2akSUNjRkrBAABJQ6zALkMc/0dDGXKAPwAAYkNrwC5D5IRGQ+HY20EAAFJDKcAuQ4IuRUPaF01BAABVQ+i/LkOS9kNDcEuIQQAASkOnvy5D8dhCQ9Xh5EAAAE5DZr8uQ2DSQUMG2kJBAAA9QyS/LkM74EBDqg54wAAAVUPjvi5DUwBAQ2f9p0EAAEFDor4uQ88wP0NLmOc/AABOQ2G+LkMYcD5Dh/54QQAATEMfvi5DyLw9Q3wzZEEAADxD3r0uQ6kVPUOI1Iq/AABdQ529LkOleTxDaxkCQgAAS0NcvS5Dx+c7Q5aDcUEAAEBDGr0uQzFfO0PWGZRAAABFQ9m8LkMg3zpD/g0iQQAAO0OYvC5D4mY6QxceGT8AAE5DV7wuQ9f1OUNHUaBBAABFQxW8LkNwizlDB0k3QQAANkPUuy5DKSc5Q0HKScAAADpDk7suQ43IOENduZs/AABkQ1K7LkMxbzhDPEMuQgAASUMQuy5Dsxo4Q2oqh0EAADBDz7ouQ7rKN0MyV/nAAABBQ466LkP0fjdDvRAYQQAASENNui5DGTc3QzxHhkEAAD1DC7ouQ+PyNkOro8FAAABGQ8q5LkMUsjZDu950QQAAPEOJuS5DdHQ2Q3dxsUAAAClDSLkuQ845NkPhnFPBAAA3Qwa5LkPxATZDyQ5+PwAARkPFuC5Dscw1Q3eagUEAABxDhLguQ+WZNUMlz8zBAAAsQ0O4LkNmaTVDW5YWwQAAPkMBuC5DETs1Q+9ODEEAACZDwLcuQ8YONUNi7HDBAAAjQ3+3LkNn5DRDNSOPwQAAOEM+ty5D1rs0Q2AKUUAAADZD/LYuQ/yUNEM0grU/AAAtQ7u2LkO+bzRDtfftwAAANkN6ti5DBkw0Q/r82T8AADdDObYuQ8ApNEMUkDVAAAA6Q/e1LkPXCDRDI+W+QAAAQ0O2tS5DOekzQ2tscUEAAExDdbUuQ9bKM0NSqcFBAAAzQzS1LkOcrTNDMZwtvwAAQEPytC5DfZEzQyjoRkEAAFVDsbQuQ2x2M0NSJgZCAAA7Q3C0LkNZXDND2HT0QAAAQkMvtC5DOkMzQ2DMa0EAADlD7bMuQwIrM0O2n7pAAAA3Q6yzLkOnEzNDPBZ7QAAAQENrsy5DHv0yQyAuUEEAAElDKrMuQ13nMkMVxbBBAABTQ+myLkNc0jJDj7YAQgAAI0Onsi5DEr4yQxnhe8EAAEpDZrIuQ3WqMkNUrLpBAABFQyWyLkOAlzJD/kOTQQAAN0PksS5DK4UyQ61aj0AAADFDorEuQ25zMkPVtrm/AAA8Q2GxLkNDYjJD0dsZQQAAHkMgsS5DpFEyQyONosEAADhD37AuQ4xBMkOBzrdAAAAiQ52wLkP0MTJDo4+BwQAAKUNcsC5D2CIyQ4QtEsEAACtDG7AuQzMUMkNXhuLAAAA8Q9qvLkP/BTJDD6AfQQAAJ0OYry5DOfgxQ42DL8EAADZDV68uQ9zqMUOJpIJAAABFQxavLkPk3TFD4hCZQQAAM0PVri5DTdExQ2pZlz8AACxDk64uQxTFMUOHorjAAAAjQ1KuLkM1uTFDWJNrwQAALEMRri5Drq0xQ7W1tcAAADJD0K0uQ3qiMUO7DLs+AAAzQ46tLkOWlzFDzTS0PwAAK0NNrS5DAY0xQySg0cAAAD1DDK0uQ7eCMUOO1DdBAAA+Q8usLkO2eDFDo3RIQQAAOUOJrC5D+24xQ6kg8kAAAClDSKwuQ4RlMUM6WAbBAAAlQwesLkNOXDFD5MRFwQAAOUPGqy5DWVMxQ+2U9UAAAB5DhKsuQ6FKMUMGVZrBAAA+Q0OrLkMlQjFDsd1LQQAAJUMCqy5D5DkxQzqeQ8EAAC1DwaouQ9sxMUNsO4bAAABOQ3+qLkMLKjFDqK/mQQAAKkM+qi5DciIxQzVO5MAAAEFD/akuQw8bMUMXT35BAAAnQ7ypLkPiEzFDGD4hwQAANkN6qS5D6gwxQ7NinkAAAD9DOakuQyoGMUNnnV9BAAAvQ/ioLkOg/zBDzc//vwAAOEO3qC5DTfkwQ1HW4EAAACNDdaguQzTzMENFM1/BAAAuQzSoLkNV7TBDU1U7wAAAMEPzpy5DsucwQ6mxZ78AACNDsqcuQ0riMEOmJF7BAAAuQ3CnLkMg3TBDAkg3wAAAG0Mvpy5DM9gwQ5XBrsEAABlD7qYuQ4HTMEMJnL7BAAA+Q62mLkMKzzBDZQ9TQQAAPkNrpi5DycowQ2xTU0EAAClDKqYuQ7vGMENs1/jAAAA9Q+mlLkPawjBDW9JDQQAAMUOopS5DH78wQ2LCgT4AACdDZqUuQ4C7MEMFuBvBAAAjQyWlLkP1tzBDTX9bwQAAREPkpC5DcbQwQ3VcmkEAAC9Do6QuQ+qwMEMMddi/AAASQ2GkLkNTrTBDmmr1wQAAKkMgpC5DoqkwQ0I01cAAADND36MuQ86lMENrjBZAAAA2Q56jLkPToTBDkcWrQAAAL0Ncoy5Dsp0wQ8PYzr8AACtDG6MuQ22ZMEObLbPAAABJQ9qiLkMNlTBDllfDQQAANUOZoi5DnZAwQ2rsjUAAABhDWKIuQyaMMEMtYcTBAABCQxaiLkOyhzBDbcKLQQAAIEPVoS5DTIMwQ2EahMEAADNDlKEuQ/t+MENFQSBAAAA1Q1OhLkPFejBDWKeQQAAAL0MRoS5DsHYwQzBYu78AADJD0KAuQ8ByMEPpn8Y/AAA6Q4+gLkP3bjBDihAZQQAAQ0NOoC5DWGswQ0SllEEAACZDDKAuQ+FnMEMVfibBAAA4Q8ufLkOUZDBDcW3zQAAAV0OKny5DcGEwQ0B6GkIAADdDSZ8uQ3NeMEOkMdRAAAA4QwefLkObWzBDoIz0QAAALkPGni5D51gwQ6M5FsAAAC9DhZ4uQ1NWMEO1Kau/AAArQ0SeLkPgUzBD8nuqwAAAJkMCni5DiVEwQ5EYJcEAADxDwZ0uQ05PMEMgCztBAAAlQ4CdLkMtTTBDzNI0wQAAOEM/nS5DJEswQ4eb9kAAADVD/ZwuQzJJMEPC2ZZAAAAuQ7ycLkNWRzBDgtURwAAAMkN7nC5Dj0UwQ2k43T8AAD9DOpwuQ91DMEM2wmtBAAA1Q/ibLkM+QjBDRriXQAAALkO3my5DskAwQ44sEMAAADRDdpsuQzk/MEOjMXBAAAAxQzWbLkPTPTBDxSxCPwAAJEPzmi5DfzwwQ/XHQ8EAAEtDspouQz47MEMTJtZBAAAyQ3GaLkMOOjBDDvniPwAAIkMwmi5D8DgwQwOPY8EAAEBD7pkuQ+Q3MEO6gXxBAAAkQ62ZLkPrNjBDqW5DwQAAF0NsmS5DAzYwQxWwycEAACpDK5kuQy01MEOapcbAAAAmQ+mYLkNpNDBDkEYjwQAAQkOomC5DtzMwQ0ZijkEAAChDZ5guQxgzMEN+MQPBAAAtQyaYLkOLMjBDtqJMwAAAL0Pkly5DEDIwQygImb8AAEFDo5cuQ6gxMEO8coZBAAAxQ2KXLkNTMTBDj6xOPwAAOUMhly5DETEwQ+juDEEAADJD35YuQ+MwMEOgjuc/AAAyQ56WLkPIMDBDPZznPwAAM0Ndli5DwDAwQ/7PM0AAADRDHJYuQ80wMEPdzHNAAAApQ9qVLkPtMDBDqx3mwAAAMUOZlS5DIzEwQzfdTj8AAB9DWJUuQ20xMENpi4nBAAAnQxeVLkPNMTBDzRwTwQAANEPVlC5DQjIwQ3Nvc0AAAB5DlJQuQ84yMENtlpHBAAAtQ1OULkNwMzBD6NtMwAAALEMSlC5DKTQwQxOFhsAAACND0JMuQ/k0MEOQT1PBAAAoQ4+TLkPhNTBDFl4DwQAAJkNOky5D4jYwQyRuI8EAADNDDZMuQ/w3MEPxADJAAAAfQ8ySLkMwOTBDf8mJwQAALUOKki5DfjowQ3qfTsAAACpDSZIuQ+c7MEPdfMfAAAAXQwiSLkNsPTBDXevJwQAALkPHkS5DDT8wQzbDD8AAADZDhZEuQ8tAMEOX5rdAAAA2Q0SRLkOoQjBDBau3QAAALEMDkS5Do0QwQ2yUiMAAAB1DwpAuQ79GMEP2NZrBAAAcQ4CQLkP7SDBD2UeiwQAAKEM/kC5DWUswQ5W1BMEAAEJD/o8uQ9tNMEMskY1BAAAxQ72PLkOAUDBDEYAvPwAAKkN7jy5DS1MwQ1VpysAAAClDOo8uQzxWMEOBx+rAAAAtQ/mOLkNVWTBDV1VWwAAAIUO4ji5DmFwwQ4HJdcEAAClDdo4uQwZgMEO3AOzAAAAnQzWOLkOgYzBD/TkWwQAAQkP0jS5DaGcwQ8DEjEEAABZDs40uQ2BrMEMBW9PBAAAfQ3GNLkOKbzBDT3yLwQAANUMwjS5D53MwQxGDkUAAADRD74wuQ3t4MENO4WFAAABBQ66MLkNGfTBDzxWEQQAAQENsjC5DTIIwQ0Xbd0EAABhDK4wuQ46HMENwPMTBAAAfQ+qLLkMQjTBDfWiMwQAAE0Opiy5D05IwQ5uW7MEAAD5DZ4suQ9yYMEM+clZBAAAnQyaLLkMtnzBDz/IZwQAAQUPlii5DyaUwQ7fRgkEAAB9DpIouQ7SsMEOhZY3BAABDQ2KKLkPyszBDc2CSQQAALEMhii5DhbswQ7Bwl8AAABRD4IkuQ3TDMEOgG+bBAAAuQ5+JLkPCyzBDYvAywAAAQkNdiS5Dc9QwQ2pciUEAAB9DHIkuQ43dMENm7I7BAAA+Q9uILkMV5zBDs45RQQAANUOaiC5DEfEwQ+3dgUAAAB9DWIguQ4b7MEMy3I/BAAAoQxeILkN8BjFDwmcQwQAAL0PWhy5D+RExQ1R+BMAAADhDlYcuQwUeMUNdP9xAAABIQ1OHLkOnKjFDxaq2QQAAIUMShy5D6TcxQ0a/gcEAACJD0YYuQ9JFMUMkXXTBAAAYQ5CGLkNuVDFDbKPKwQAAMUNOhi5DxWMxQ1OKx74AAC1DDYYuQ+RzMUOKfI7AAAA4Q8yFLkPXhDFDHmXPQAAAKUOLhS5DqpYxQ6dqCcEAACNDSYUuQ22pMUPJlmrBAAAxQwiFLkMtvTFDhyw9vwAAK0PHhC5D+9ExQ1w/2sAAADRDhoQuQ+rnMUOcBQZAAABJQ0SELkMM/zFDnwe4QQAATkMDhC5DeBcyQz9E30EAADVDwoMuQ0YxMkOdrjNAAAAqQ4GDLkOPTDJD8MgEwQAAMUNAgy5Dc2kyQ2C5tL8AAERD/oIuQxOIMkNkv4tBAABJQ72CLkOaqDJDM7uyQQAAIUN8gi5DNcsyQ6hZjsEAADNDO4IuQx/wMkP6DX49AAA5Q/mBLkOeFzNDMAy9QAAAJ0O4gS5DCkIzQ6QgRMEAACJDd4EuQ9BvM0N9fovBAAAyQzaBLkN5oTNDRbzQvwAAS0P0gC5DtNczQ2JCuUEAAEFDs4AuQ18TNEMOyk5BAAAkQ3KALkOUVTRDoayCwQAAP0MxgC5Dtp80Q6AEJkEAAC1D738uQ4PzNENXcP7AAAAlQ65/LkMmUzVDLpmCwQAAMkNtfy5DTME1QwlTcMAAAERDLH8uQztBNkNW7FtBAAA8Q+p+LkPi1jZDsiOlQAAAN0Opfi5D9oY3Q1n2Br8AADxDaH4uQ/xWOEP+QGpAAAAmQyd+LkNZTTlDy2qawQAAPUPlfS5DW3E6Q0epI0AAAC9DpH0uQzLLO0Mds0zBAAAtQ2N9LkPnYz1DNR+DwQAASUMifS5DP0U/QxesG0EAADFD4HwuQ5N5QUObzIPBAABKQ598LkOaC0RDuYy+QAAAKUNefC5DGwZHQ9kw8MEAAEZDHXwuQ5lzSkMnc47AAAA/Q9t7LkPsXU5DxN51wQAAT0Oaey5D0M1SQwl0c8AAAGJDWXsuQ2zKV0M9WSNBAAA4Qxh7LkPYWF1DXmMVwgAAWkPWei5DoHtjQwi6F8EAAFdDlXouQ1oyakPPkpnBAABvQ1R6LkM3eXFDrE0ewAAAkkMTei5DtUh5QyvdKkIAAHtD0XkuQ7DKgEPvq9LAAAB/Q5B5LkPQJ4VDDvo0wQAAdENPeS5D2bGJQ5Ud+8EAgIFDDnkuQ85cjkPnzM3BAACCQ8x4LkOmGpNDMNUIwgAAk0OLeC5DXNuXQ41rG8EAgJdDSnguQxONnENmoiHBAACNQwl4LkM/HKFD9+EgwgAAnEPHdy5D63OlQ7g+l8EAgJ5DhncuQyN+qUMx4q/BAACrQ0V3LkOEJK1D/iCJwAAAqUMEdy5DElGwQ04iasEAgK9DwnYuQ0jvskMH0tvAAICzQ4F2LkNU7bRDDKo2wAAAxUNAdi5DaT22Q2kp7EEAAJ5D/3UuQ+jWtkNDt0bCAIC9Q711LkMot7ZD8BpZQQCAs0N8dS5Dt+G1Q7FtmMAAAMpDO3UuQ/dftENJAC1CAIC+Q/p0LkM8QLJDSPzDQQCAs0O4dC5DhJSvQwbf+kAAALZDd3QuQxxxrENA7phBAICtQzZ0LkNS66hDz5USQQAApEP1cy5DYhilQw8xDMAAAKxDs3MuQ7AMoUMBNa9BAACgQ3JzLkM625xDgzHJQACApkMxcy5DTJWYQz+r3kEAgJ9D8HIuQ1hKlEN9WrNBAICQQ69yLkPqB5BDDCtwPwAAjkNtci5Dr9mLQ1eUiUAAgI1DLHIuQ3/Jh0MX0DZBAICYQ+txLkN734NDJgQlQgCAjEOqcS5DHyKAQwzexUEAAHRDaHEuQ8MseUNhmKXAAAB9QydxLkOif3JD3AUoQQAAdUPmcC5DbUFsQzjpC0EAAFJDpXAuQ2l0ZkNMo6PBAABJQ2NwLkPfGGFD9MbAwQAAYkMicC5DVy1cQy1VukAAAE5D4W8uQ+muV0ON7hrBAABaQ6BvLkN+mVNDT9DMQAAASUNeby5DEOhPQ/4B3cAAAGJDHW8uQ+uUTEOqWKtBAABJQ9xuLkPgmUlD8t8ZvwAAUkObbi5DevBGQ2H4MEEAAE9DWW4uQyeSREOS3SZBAAAwQxhuLkNdeEJD5cKTwQAALEPXbS5Dt5xAQ7jlpMEAAC1Dlm0uQxD5PkN9yI/BAABDQ1RtLkOQhz1DCQ6vQAAAKEMTbS5DvUI8Q+oVosEAADFD0mwuQ4MlO0MxWCLBAAA6Q5FsLkM2KzpDttcsvgAAKkNPbC5DlU85Q1D5dMEAAD5DDmwuQ8mOOEPjJq5AAAAvQ81rLkNg5TdDAlYOwQAAP0OMay5DSlA3Q8H29UAAACRDSmsuQ9DMNkODZpbBAAA9QwlrLkORWDZD2u3UQAAAMEPIai5Dd/E1Q+AuvsAAAC9Dh2ouQ7KVNUM6ttLAAAAiQ0VqLkOwQzVDfx2awQAAOEMEai5DF/o0Q1B6QUAAACNDw2kuQ723NEPovY3BAAAzQ4JpLkOkezRDEdK9vwAAQkNAaS5D80Q0Q9awW0EAACVD/2guQ+8SNEP3LnHBAAA0Q75oLkP95DNDpBXYPQAALkN9aC5Dl7ozQ9dSt8AAADRDO2guQ0qTM0MLa9k+AAAzQ/pnLkO5bjNDPnHdvgAAPUO5Zy5DkEwzQwQ3G0EAADlDeGcuQ4ssM0OpbrpAAAAXQzZnLkNvDjNDdnPgwQAAMEP1Zi5DCvIyQ3KCPMAAACVDtGYuQzHXMkMPc13BAAAjQ3NmLkPAvTJD+Nt7wQAAOEMxZi5DlqUyQ0dNq0AAAB1D8GUuQ5iOMkPDdKzBAAAmQ69lLkOveDJD9YpHwQAAIENuZS5DxmMyQy8ek8EAADdDLGUuQ8pPMkPNBpZAAAAnQ+tkLkOqPDJDpMozwQAANEOqZC5DWSoyQ1fT6j8AADdDaWQuQ8oYMkPE5pxAAAAjQydkLkPwBzJDA39wwQAAMkPmYy5DwvcxQ1/kAz0AADNDpWMuQzXoMUOW5Ys/AAAhQ2RjLkNB2TFDBsqGwQAAKEMjYy5D3coxQ9StHMEAAC1D4WIuQwO9MUNhoJfAAABKQ6BiLkOrrzFDp4LCQQAAEUNfYi5Dz6IxQz2LAsIAACJDHmIuQ2mWMUOSZnnBAAA0Q9xhLkNzijFDI2MdQAAAOkObYS5D6X4xQ3ARCEEAACZDWmEuQ8VzMUNNPDfBAAAxQxlhLkMCaTFDpwTSvgAAQkPXYC5DnV4xQxYLhUEAADFDlmAuQ5JUMUMUI6m+AAAyQ1VgLkPbSjFDrCQ1PwAAPkMUYC5Dd0ExQ5DoS0EAACBD0l8uQ2E4MUMKw4nBAAAtQ5FfLkOXLzFD1PKFwAAAP0NQXy5DFCcxQ7yOXUEAACFDD18uQ9ceMUO59oDBAAA1Q81eLkPdFjFD1Uh6QAAAGEOMXi5DIg8xQxF5yMEAAENDS14uQ6UHMUPYwo9BAAArQwpeLkNjADFDYAzAwAAAPEPIXS5DWvkwQ2FqMEEAACRDh10uQ4jyMEN5KE/BAAA5Q0ZdLkPq6zBDYEEBQQAALUMFXS5Df+UwQ9BfecAAACJDw1wuQ0XfMENX9G3BAAAmQ4JcLkM72TBDr5MtwQAASUNBXC5DXtMwQxBlwUEAAC1DAFwuQ63NMENAa3PAAAAsQ75bLkMnyDBD0ASZwAAANUN9Wy5DycIwQ96mh0AAAB9DPFsuQ5O9MEOa7I3BAAA5Q/taLkOEuDBDxHcEQQAAKkO5Wi5DmbMwQyxz1sAAAEhDeFouQ9OuMENpibpBAABEQzdaLkMvqjBDiK6aQQAAMEP2WS5DraUwQ9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AAJkPaJidDZbYJwAAANEMY/iVDujMnQ2XETEEAACdDgPslQ9RDJ0PrqIe+AAAfQ+j4JUN1WCdDVIcFwQAAH0NQ9iVDO3QnQ7NDB8EAACBDuPMlQwadJ0O3oPPAAAAuQyDxJUMK4CdDtP7DQAAAL0OI7iVD/1goQyPg1EAAACxD8OslQ6M7KUM/FzFAAAAwQ1jpJUPi2ipDxaOkQAAADEPA5iVDXKMtQ3GNBsIAACNDKOQlQ3L9MUMb12/BAAA0Q5DhJUO1EzhDkHaCwAAAU0P43iVDUI4/Q3yNm0EAAD5DYNwlQ1ljR0OQNRbBAAAzQ8jZJUO72E1D2sXWwQAAQ0Mw1yVD0eZQQxNtXsEAAEZDmNQlQ3dRT0N0FxXBAAA1QwDSJUMeuklD9NClwQAAS0NozyVD0g9CQ9oCD0EAAEFD0MwlQ5dAOkMZ7ddAAAAbQzjKJUOOlzNDbrzEwQAAH0OgxyVD9aMuQ1U/esEAADhDCMUlQ21dK0M2KUpBAAARQ3DCJUO2ZilDrjXDwQAAEUPYvyVDhk4oQyx0usEAADNDQL0lQ0K3J0PdizRBAAA5Q6i6JUM7YydDJOaMQQAAKEMQuCVDDDAnQwv0Tz8AADlDeLUlQ9kMJ0M6mY9BAAAqQ+CyJUMP8iZDQXxDQAAALkNIsCVDWtwmQ7x05EAAACRDsK0lQyfKJkOliTLAAAAoQxirJUOVuiZDhrWiPwAAOUOAqCVDFK0mQ1+XkkEAADdD6KUlQzuhJkMl9oJBAAAsQ1CjJUO8liZDjiitQAAAHEO4oCVDV40mQ3DVKMEAADZDIJ4lQ92EJkMrsndBAAA2Q4ibJUMofSZDgi14QQAAFUPwmCVDGHYmQ72wi8EAACBDWJYlQ5RvJkNy8s3AAAAoQ8CTJUOHaSZDejzLPwAAMkMokSVD4WMmQ+zBOUEAAClDkI4lQ5ReJkP5WihAAAAsQ/iLJUOUWSZDgM20QAAAKkNgiSVD11QmQzfKakAAACFDyIYlQ1VQJkOoCqrAAAAoQzCEJUMHTCZDWfzZPwAAIkOYgSVD50cmQ+v8iMAAAB1DAH8lQ/BDJkMFPxTBAAAiQ2h8JUMeQCZDtgOIwAAAH0PQeSVDbDwmQ3mN58AAAChDOHclQ9c4JkNclOM/AAAqQ6B0JUNdNSZDrqhyQAAAJkMIciVD+zEmQ0jtR74AABJDcG8lQ68uJkN6daHBAAAaQ9hsJUN3KyZDcLdCwQAAGkNAaiVDUSgmQxCFQsEAAEZDqGclQzwlJkMi1v5BAABDQxBlJUM2IiZDUu7mQQAAFEN4YiVDPh8mQ/H5kMEAACFD4F8lQ1QcJkN1iqPAAAAgQ0hdJUN1GSZDri7DwAAAIEOwWiVDoxYmQ1PUwsAAABVDGFglQ9oTJkPUnojBAAAzQ4BVJUMcESZDO+5OQQAALkPoUiVDaA4mQw8z/kAAAChDUFAlQ7wLJkMrIvo/AAASQ7hNJUMYCSZDwUigwQAAIEMgSyVDfQYmQ5XPwMAAABFDiEglQ+kDJkNFH6jBAAAXQ/BFJUNcASZDvxVwwQAAIUNYQyVD1v4lQ8Lan8AAADtDwEAlQ1f8JUNJHahBAAAaQyg+JUPe+SVD4J0/wQAAHUOQOyVDa/clQ7R2D8EAAClD+DglQ/70JUNkwEJAAAA1Q2A2JUOX8iVDitZwQQAAHEPIMyVDNvAlQ14DH8EAADlDMDElQ9rtJUMxkZhBAABAQ5guJUOD6yVD56PQQQAAGUMALCVDMuklQxqTTsEAABVDaCklQ+XmJUMpN4fBAAAaQ9AmJUOe5CVD3Ek+wQAAGEM4JCVDW+IlQ7QlXsEAADNDoCElQx7gJUMm/lFBAAA0QwgfJUPl3SVDsyFiQQAAIENwHCVDsdslQxl2u8AAAC5D2BklQ4LZJUPoZwJBAAARQ0AXJUNX1yVDuLqmwQAAK0OoFCVDMdUlQ9tZpUAAACJDEBIlQxDTJUMExHTAAAAaQ3gPJUP00CVDOw89wQAAGUPgDCVD3M4lQ8DtTMEAACJDSAolQ8nMJUNGMnPAAAAgQ7AHJUO7yiVDX1e5wAAAFkMYBSVDssglQxqLfMEAAD1DgAIlQ63GJUOXyrlBAAAoQ+j/JEOuxCVDnNQOQAAAEENQ/SRDs8IlQ5gVrsEAABNDuPokQ73AJUPrBZbBAAAbQyD4JEPNviVDzewrwQAALkOI9SRD4bwlQ+gxBEEAAClD8PIkQ/u6JUMlQVFAAAAuQ1jwJEMbuSVDVW4EQQAAJEPA7SRDP7clQ7Wf278AABJDKOskQ2q1JUNOq53BAAAVQ5DoJEOasyVDzZyFwQAAG0P45SRDz7ElQ/ccK8EAABtDYOMkQwuwJUOzACvBAAAoQ8jgJENNriVDvmwUQAAAA0Mw3iRDlawlQ1SyCsIAAB9DmNskQ+SqJUNzXNXAAAA1QwDZJEM5qSVDdWx1QQAAEkNo1iRDlaclQ6Q8ncEAADxD0NMkQ/elJUNF0LJBAAAiQzjRJENhpCVDWRhpwAAAIUOgziRD06IlQ1talMAAADBDCMwkQ0yhJUNB6yVBAAAYQ3DJJEPNnyVDz/xZwQAAKkPYxiRDVp4lQzw1jEAAABhDQMQkQ+icJUN9zlnBAAAeQ6jBJEOCmyVDR3DzwAAAKEMQvyRDJpolQ492GUAAACFDeLwkQ9OYJUNYGpPAAAA4Q+C5JEOKlyVDtEOTQQAAJkNItyRDS5YlQ/Vq0z4AAEFDsLQkQxaVJUNPV9tBAAAdQxiyJEPtkyVDzT4JwQAAJ0OAryRDz5IlQ36Ytj8AAB5D6KwkQ72RJUOoN/LAAAAHQ1CqJEO4kCVDwYX0wQAAFkO4pyRDwI8lQwH8eMEAACdDIKUkQ9aOJUMTlbg/AAAhQ4iiJEP6jSVDQr+RwAAAHUPwnyRDLY0lQ9bSCMEAABlDWJ0kQ3GMJUMKx0jBAAAhQ8CaJEPFiyVDk3iRwAAAI0MomCRDKoslQ4nKIsAAAAVDkJUkQ6KKJUOJKgLCAAApQ/iSJEMuiiVDiHRdQAAAIkNgkCRDzoklQ4pzYsAAACFDyI0kQ4SJJUOJMJHAAAAjQzCLJENSiSVDYVQiwAAAEEOYiCRDN4klQ7pJrMEAADJDAIYkQzeJJUOQbEdBAAAhQ2iDJENSiSVDSyqRwAAADUPQgCRDi4klQ1lMxMEAAClDOH4kQ+OJJUMxh11AAAAgQ6B7JENdiiVDmUuxwAAAMUMIeSRD+oolQ15QN0EAAC5DcHYkQ76LJUMlRAdBAAAdQ9hzJEOqjCVDpcoIwQAAMENAcSRDw40lQ88jJ0EAADNDqG4kQwuPJUNND1dBAAAmQxBsJEOGkCVDNfPePgAAIkN4aSRDOZIlQzSOZMAAABND4GYkQyeUJUM3oZTBAAAYQ0hkJENWliVDXGVZwQAAK0OwYSRDy5glQ6bmrEAAADJDGF8kQ4ybJUM6R0ZBAABQQ7RgJEPWoiVDqnQpQgAAMkNQYiRDeqolQ2JYRUEAABVD7WMkQ4KyJUMSlIXBAAA1Q4llJEP4uiVDeVB0QQAAIkMlZyRD6MMlQ+T5cMAAADFDwWgkQ1zNJUM6KjNBAAAlQ11qJENl1yVDLWVXvwAAMUP5ayRDEuIlQ9jeMUEAAB5DlW0kQ3ftJUPjrv3AAAAdQzJvJEOp+SVDjJoPwQAAI0POcCRDwAYmQx2wQcAAABBDanIkQ9sUJkPaprDBAAAcQwZ0JEMbJCZDskEiwQAAMEOidSRDqDQmQ4a1HEEAADNDPnckQ7BGJkMGlUtBAAAuQ9t4JENqWiZDuLL0QAAANkN3eiRDGXAmQ2n+eEEAACFDE3wkQwyIJkN/AbHAAAAmQ699JEOhoiZD96AivwAAKENLfyRDTMAmQxTanz8AABlD54AkQ5rhJkOeGV7BAAAcQ4SCJEM5BydDlHMwwQAALkMghCRDAzInQ6a/2UAAACdDvIUkQwdjJ0PQDca+AABAQ1iHJEOfmydDBCPDQQAAGkP0iCRDit0nQ53YXcEAACZDkIokQxArKEMMxArAAAApQyyMJENahyhDJkzxPgAAOUPJjSRDL/coQ4pGgEEAACVDZY8kQwyDKUN/YZDAAAAjQwGRJEO/PCpD4ZfnwAAALUOdkiRDBE0rQxJ+2T8AAClDOZQkQ8EPLUMS+IHAAAA8Q9WVJEMrQzBDTs07QQAAQ0NylyRDAEA2Q/v/S0EAAENDDpkkQxoTQUPrcvY/AABdQ6qaJEOQMVNDBuccQQAAZUNGnCRDcYhuQxSHGMEAAJdD4p0kQ99+iUMSEthBAICjQ36fJENHe55DHJcgQQAAvkMaoSRD5lGyQ53hukEAALNDt6IkQxVsv0NMwcbBAADFQ1OkJEM/uMBDEvgIQQCAukPvpSRDqpi1Q7jqHEEAALVDi6ckQ2mHokO2xBNCAACZQyepJENxUY1D9ei6QQAAikPDqiRDepx0Qy0c+0EAAG1DYKwkQ/5lV0MP0KxBAABLQ/ytJEPmp0NDPAPrQAAAMkOYryRDEbE3QxsitsAAAEdDNLEkQ+4HMUOOwK9BAAAnQ9CyJEO0fS1DfLbPwAAAOUNstCRDIZYrQ+mdVkEAADRDCbYkQwp6KkNkXxhBAAAyQ6W3JEOvvylDCAUEQQAAEUNBuSRD4jcpQxK/wcEAADBD3bokQyvOKEOvOuZAAAAxQ3m8JEMBeShD9W8IQQAANkMVviRDLzMoQwnNXEEAACdDsb8kQ1v5J0OUWnm/AAAYQ07BJEMaySdDnZF8wQAAEEPqwiRDnKAnQ+MEvcEAACpDhsQkQ3t+J0MkYSBAAAAcQyLGJEOeYSdD3Bk2wQAAGkO+xyRDJUknQ0qSVMEAADRDWskkQ140J0MiukxBAAAwQ/fKJEO6IidDYtQNQQAAN0OTzCRDxBMnQ8bDfkEAACJDL84kQxsHJ0Nt46DAAAA0Q8vPJENy/CZD3ThQQQAAJUNn0SRDhvMmQzPD+b8AAC5DA9MkQyHsJkPYe+JAAAAzQ6DUJEMV5iZDtJ5BQQAAGEM81iRDOuEmQ6MTbsEAADZD2NckQ3HdJkP3KHJBAAA4Q3TZJEOc2iZDHyuJQQAAJkMQ2yRDpdgmQ9OkWL8AADZDrNwkQ3bXJkOaiHJBAAAiQ0jeJEP/1iZD6N+awAAALkPl3yRDMNcmQ/UZ5UAAABlDgeEkQ/3XJkPLf13BAAA2Qx3jJENZ2SZDbmpyQQAANEO55CRDPNsmQ0BMUkEAACdDVeYkQ53dJkMWjAk+AAAtQ/HnJEN14CZDYfHDQAAAGUOO6SRDvuMmQ907XsEAACBDKuskQ3LnJkNK7tzAAAA0Q8bsJEOO6yZDIEdRQQAAKENi7iRDDfAmQ3H5hz8AACdD/u8kQ+30JkOjNjE9AAAwQ5rxJEMq+iZDYl0QQQAAJUM28yRDw/8mQ3Lh/78AAC5D0/QkQ7YFJ0M8Sd9AAAAhQ2/2JEMCDCdDT4DBwAAAMkML+CRDpxInQ43VLkEAACpDp/kkQ6QZJ0MJlzlAAAAmQ0P7JEP5ICdDSnyQvwAALUPf/CRDpignQ0zrukAAAB5DfP4kQ6wwJ0O7ChPBAAAmQxgAJUMMOSdD4IWcvwAAKkO0ASVDx0EnQzyOL0AAACJDUAMlQ99KJ0PnW6nAAAA3Q+wEJUNWVCdDn7p6QQAAMEOIBiVDLl4nQyMdCkEAACtDJQglQ2loJ0PG5WVAAAAuQ8EJJUMKcydDu57RQAAAM0NdCyVDFX4nQ7YeOEEAADBD+QwlQ4yJJ0NEZwdBAABBQ5UOJUNzlSdDZlTLQQAANEMxECVDz6EnQwzjRUEAADxDzRElQ6SuJ0PeiqJBAAAxQ2oTJUP3uydDkEAUQQAAMEMGFSVDzcknQzNjA0EAACtDohYlQyvYJ0Mo9UlAAAA5Qz4YJUMZ5ydDOseIQQAAMkPaGSVDnPYnQ0WWIEEAABhDdhslQ7sGKEPaNYDBAAAgQxMdJUN/FyhD8ncBwQAAO0OvHiVD8CgoQ4O4lkEAACdDSyAlQxY7KEPoip2/AAA1Q+chJUP7TShDTSBLQQAAJkODIyVDqmEoQ49qGMAAACVDHyUlQy52KEOMi13AAAAqQ7smJUOTiyhDbDa6PwAARUNYKCVD5qEoQ87w4kEAADND9CklQza5KEOlbCRBAAAsQ5ArJUOR0ShDzZtLQAAANUMsLSVDCOsoQ35PQUEAAC5DyC4lQ64FKUNISp9AAAAiQ2QwJUOVISlDpTLkwAAAJkMBMiVD1D4pQ+i0T8AAAB5DnTMlQ4BdKUME2DXBAABHQzk1JUO0fSlDXxLsQQAAPEPVNiVDi58pQ6oDk0EAADFDcTglQyLDKUO9m+dAAAAnQw06JUOb6ClDuyY6wAAAHEOqOyVDGRAqQ5IBYcEAAC5DRj0lQ8Q5KkP2jnFAAAAwQ+I+JUPHZSpDGEezQAAAGEN+QCVDUpQqQ5GilMEAAD9DGkIlQ5nFKkM106FBAAAXQ7ZDJUPX+SpDuc6fwQAASkNSRSVDTDErQ6J19kEAAD9D70YlQz9sK0MLnpxBAAAhQ4tIJUP/qitD868qwQAAR0MnSiVD5u0rQ9CQ2EEAAC9Dw0slQ1Y1LEN8qjJAAAASQ19NJUO+gSxD8A3UwQAANUP7TiVDmtMsQ1nGAkEAAF1DmFAlQ3crLUMiUj9CAABCQzRSJUPziS1DZ7CjQQAAHkPQUyVDwe8tQw78fsEAACtDbFUlQ6xdLkMVa1fAAAAsQwhXJUOe1C5DbSc1wAAAKEOkWCVDn1UvQ9Wz6sAAAEBDQFolQ+DhL0P+8IBBAAA5Q91bJUPCejBD31MIQQAAQUN5XSVD2yExQ0zifUEAADJDFV8lQwXZMUO27Bs+AABDQ7FgJUNnojJDxOyCQQAAL0NNYiVDjIAzQ3URkMAAADJD6WMlQ252NEOZmx3AAAAtQ4ZlJUObhzVDsnkIwQAAQ0MiZyVDTbg2Qzd7REEAAEJDvmglQ5cNOEOUJh9BAAA/Q1pqJUOdjTlDXEyuQAAAMkP2ayVD2T87Q439E8EAADhDkm0lQ3UtPUOorqXAAAA6Qy9vJUPLYT9DUzmswAAASkPLcCVDAutBQ9lPAUEAAEhDZ3IlQ/faREM1QklAAABSQwN0JUNqSEhDXHkbQQAARkOfdSVDw1BMQ2gYysAAAGFDO3clQ9YaUUOhUn5BAABRQ9d4JUM43FZD+oa7wAAAZUN0eiVDJ+ZdQyo740AAAEVDEHwlQxPJZkNNJAfCAABcQ6x9JUN4tXJDwqu1wQAAV0NIfyVDtzSCQ7elNcIAAHJD5IAlQ4EPkUMKfEDCAACqQ4CCJUOzX6xDyOyXwACA3EMdhCVD0MjfQ/8z0sAAgCNEuYUlQxpeHkTPPKRBAIBwRFWHJUN4smtEArGZQQCguETxiCVD+3uvRFFAkkIAgPtEjYolQ5bf+kTzaaBAAKAkRSmMJUNShydFf9Q5wgCwQkXGjSVD8BpNRQGvJsMAsFhFYo8lQ8w3YkW4fBjDAMBcRf6QJUMS3V1F04iOwQCQUEWakiVDEftBRfBOaUMAMCJFNpQlQwmMGUVtPwpDAODyRNKVJUMI/d9EwBcXQwBgnERulyVD27aZREdJqkEAAE9EC5klQzjnTEQHMgZBAEADRKeaJUPd3QpEobvzwQCAvENDnCVDN/zIQ3fDx8EAAJND350lQ/N5n0M2n8fBAABpQ3ufJUNXgolDuRIowgAAaUMXoSVDDqR6Q3QgjcEAAH1DtKIlQ9GRa0N6cYtBAAB9Q1CkJUPWDmFDTonfQQAAVUPspSVD7g1ZQ8q9gcAAAERDiKclQ4unUkOxeGrBAABeQySpJUO9Z01DG8KEQQAALEPAqiVDIAlJQwBJ6MEAAFpDXKwlQxBcRUOAH6VBAABOQ/mtJUNjPUJDyik8QQAAQ0OVryVDR5I/QzJuW0AAAFFDMbElQ+hFPUPD0J1BAABAQ82yJUPlRztDZwOXQAAARUNptCVDPIs5QztMN0EAADxDBbYlQ38FOEM5oH5AAABKQ6K3JUM8rjZDIo6aQQAAUEM+uSVDj341Q4gL1EEAADhD2rolQ9BwNEMHzGNAAAAxQ3a8JUNPgDNDthMgwAAASkMSviVDJakyQ9u2ukEAAEZDrr8lQwvoMUOkv6BBAABLQ0vBJUNBOjFD9S3OQQAAQUPnwiVDcJ0wQ4EUg0EAADxDg8QlQ5kPMENtBj9BAABTQx/GJUMJjy9D28MNQgAAPUO7xyVDSRovQ2lbXkEAAEhDV8klQxawLkNQf8pBAABGQ/PKJUNXTy5DSIW9QQAAS0OQzCVDGfctQzpH6EEAAEVDLM4lQ4emLUPIy7pBAAA+Q8jPJUPoXC1DwRiFQQAAVENk0SVDmBktQ5+ZG0IAADlDANMlQwncLENuP0JBAABkQ5zUJUO8oyxDEHFdQgAAJ0M51iVDQXAsQx4IrsAAAE9D1dclQzZBLEMq+wpCAAA7Q3HZJUNCFixD3JtuQQAAPkMN2yVDGe8rQzaHkEEAAEBDqdwlQ3bLK0NTpKFBAAA5Q0XeJUMaqytDXE5VQQAAIUPh3yVD0Y0rQwjdKMEAADtDfuElQ2hzK0N9yXhBAAA/QxrjJUO2WytDTSKdQQAAH0O25CVDlUYrQ1RpRMEAACpDUuYlQ+MzK0OZ8Zm/AAA2Q+7nJUODIytD0cctQQAAOkOK6SVDWxUrQ1aqbkEAAEBDJ+slQ1QJK0NftadBAAAyQ8PsJUNc/ypDehTgQAAAOkNf7iVDY/cqQ9WJcEEAADRD++8lQ1rxKkNd6hBBAAAyQ5fxJUM47SpDAlniQAAANkMz8yVD9OoqQ8VQMUEAADND0PQlQ4jqKkOHVwFBAABLQ2z2JUPw6ypDP1AAQgAAP0MI+CVDLO8qQ52GoEEAAE9DpPklQz30KkMKLxBCAAA3Q0D7JUMn+ypDlE1AQQAANEPc/CVD7gMrQxnBD0EAAD9DeP4lQ50OK0MZi59BAAA7QxUAJkM9GytDM0x+QQAAOEOxASZD3CkrQ0JiTUEAADZDTQMmQ4o6K0NZVyxBAAAyQ+kEJkNcTStDhVTWQAAAKUOFBiZDZ2IrQ6WZGMAAAB5DIQgmQ8V5K0NKnFfBAAA0Q74JJkOUkytDxMYGQQAALkNaCyZD9q8rQ5ECFEAAADhD9gwmQxHPK0PwDkNBAAAyQ5IOJkMR8StD4d3BQAAANEMuECZDJxYsQy47/UAAABBDyhEmQ4k+LENI9OHBAAApQ2YTJkN2aixDnZ1awAAAMUMDFSZDNZosQ125jEAAABxDnxYmQxTOLEOfcIbBAAAUQzsYJkNsBi1DYTPIwQAAH0PXGSZDo0MtQyk6ZMEAAENDcxsmQymGLUO2zqtBAAA6Qw8dJkOCzi1D5BdDQQAANEOsHiZDPx0uQyJYvEAAAEBDSCAmQwhzLkO9Z4xBAAA6Q+QhJkOe0C5DJvYyQQAANEOAIyZD2jYvQ8IkmUAAAC5DHCUmQ7mmL0OwXNO/AAA1Q7gmJkNfITBDJdSbQAAAMkNVKCZDG6gwQ3Dyqz8AAD1D8SkmQ3Y8MUOkODxBAABOQ40rJkM44DFDQv7gQQAAN0MpLSZDepUyQ85QjUAAACFDxS4mQ7NeM0Oa9ZLBAAAqQ2EwJkPSPjRDH+0jwQAAS0P9MSZDUzk1Q2s1rkEAAChDmjMmQ2RSNkNAJmXBAABHQzY1JkMSjzdD2A53QQAAQEPSNiZDgfU4Q+RP4UAAAEBDbjgmQzONOkOhWa5AAABIQwo6JkNwXzxDAAk6QQAATkOmOyZDxnc+Q5mDeEEAAEFDQz0mQ7/kQEN2C9o9AAA8Q98+JkPQuEND9hn3wAAASEN7QCZDugtHQ8hFdD8AAEFDF0ImQ438SkPUyB/BAABLQ7NDJkMftU9D26OWwAAAVENPRSZDg3FVQ1HBuL8AAEVD7EYmQ6+TXEN6nbzBAABbQ4hIJkOB2mVDDKgtwQAAW0MkSiZDOvJyQ8+Rv8EAAGJDwEsmQzTfg0Oh+RbCAACNQ1xNJkNTYZZDOBWWwQCAsEP4TiZDAEC5QwMAjMEAgOpDlFAmQ3AB+kP7FvjBAEA5RDFSJkNMKTVEfNaCQQAAk0TNUyZD2Y2GRHMix0IAIMVEaVUmQ7ZQw0Q8pWdBAKAERQVXJkN00QVFJrqYwQBgKkWhWCZDlygpRX+0m0EA4DpFPVomQ+R/QUV1/NPCAPA6RdpbJkMM8ERFvwAgwwDALkV2XSZD18cxRbX1QcIAQBRFEl8mQ4laEEW+XXlCAADbRK5gJkMj7tZErTsCQgAgl0RKYiZDyNqVROGbIkEAAE5E5mMmQ3vPSUSnEIZBAAAARIJlJkP+QglE5C8UwgCAsEMfZyZDRULGQyYSLsIAgIhDu2gmQ2+snEN3YyHCAICBQ1dqJkPEt4ZDgfgmwQAAaUPzayZDm2R1Q65JRsEAAFxDj20mQwLPZkMl8CzBAABkQytvJkN1zVxDU1HmQAAAZ0PIcCZDWUNVQzbljUEAAFpDZHImQx9FT0MJritBAABSQwB0JkNcX0pDghT0QAAAVEOcdSZDZE5GQ8AZW0EAADtDOHcmQ1zkQkOAi/zAAABPQ9R4JkOt/z9DLwVwQQAAVENxeiZD2IY9Qz/Js0EAADxDDXwmQyVmO0Ou2hk/AAAyQ6l9JkMijjlDS8TxwAAAOkNFfyZDk/I3QydbA0AAAEBD4YAmQ7CJNkMEZRdBAABAQ32CJkOSSzVD4UYrQQAAOkMZhCZDzTE0Q2LGuUAAAFBDtoUmQxs3M0MkR+ZBAABHQ1KHJkMjVzJD6kalQQAAJUPuiCZDRI4xQzvkSMEAAFRDioomQ3bZMEMnmgxCAAA/QyaMJkMtNjBDLZ1sQQAAOUPCjSZDP6IvQw3cFUEAACtDX48mQ9YbL0OweoPAAAAwQ/uQJkNeoS5DOlGvPwAAM0OXkiZDfTEuQ1TQmUAAADtDM5QmQwrLLUNYT1NBAAA1Q8+VJkMCbS1Dt1/yQAAALUNrlyZDhBYtQ8cdtL0AACdDB5kmQ8rGLENN2bjAAAA2Q6SaJkMqfSxDXC0YQQAAK0NAnCZDDDksQ/eFnL8AADlD3J0mQ+r5K0NfYVBBAAAxQ3ifJkNPvytDKxaoQAAAGkMUoSZD0YgrQ4hGjMEAAEhDsKImQxRWK0NgT+VBAAAxQ02kJkPFJitDaCe7QAAAOEPppSZDmfoqQ3JWUEEAACZDhacmQ07RKkO9KZrAAAA1QyGpJkOoqipDflUlQQAAUEO9qiZDcoYqQznmFUIAADpDWawmQ3pkKkNeuHlBAAAkQ/atJkOWRCpDtZLIwAAAREOSryZDnSYqQxzLzkEAAClDLrEmQ2sKKkNbNYW/AAAtQ8qyJkPg7ylDHghEQAAASENmtCZD3dYpQxZJ8UEAACNDArYmQ0m/KUMS6dfAAAAtQ563JkMJqSlDyr1VQAAAO0M7uSZDB5QpQ8Vfi0EAADFD17omQzCAKUMQ+u9AAABIQ3O8JkNubSlDj5T0QQAAK0MPviZDslspQwUn0j8AAEBDq78mQ+tKKUOpqLVBAAAyQ0fBJkMKOylDXE8MQQAAKUPkwiZDAywpQ1sKML4AACBDgMQmQ8cdKUN33BHBAAA2QxzGJkNNEClDKvtOQQAALUO4xyZDigMpQ4odf0AAACpDVMkmQ3P3KENfRoQ/AAA1Q/DKJkMB7ChD9T9BQQAAKkOMzCZDKuEoQ/tqjz8AACRDKc4mQ+jWKEP53JrAAAAmQ8XPJkMzzShDykwzwAAALkNh0SZDBsQoQ0J/p0AAAC1D/dImQ1q7KEOxlIhAAAAJQ5nUJkMssyhDXpn9wQAAJkM11iZDdasoQ1PdKsAAAEJD0tcmQzOkKENn3spBAAAgQ27ZJkNinShDHdYJwQAAGEMK2yZD/5YoQ/S3hMEAADRDptwmQweRKEOP7zZBAAAgQ0LeJkN6iyhDmrcIwQAAFUPe3yZDVYYoQ6synMEAACxDe+EmQ5qBKEOJmV9AAAAqQxfjJkNIfShDLVzBPwAAL0Pn5CZDlXkoQ2nN0EAAACJDuOYmQ092KEPcyc7AAAAoQ4noJkN6cyhDT/PmvgAAOkNa6iZDGnEoQy93jEEAADNDK+wmQzdvKEOQDClBAAAlQ/vtJkPZbShDSnZbwAAAG0PM7yZDDG0oQ7/QVsEAACpDnfEmQ95sKEP0kMk/AAAiQ27zJkNibShDS6zNwAAAHUM/9SZDsW4oQw7rNsEAAC1DD/cmQ+lwKEPu4pFAAAAVQ+D4JkMydChDjaGbwQAAJ0Ox+iZDwXgoQ0JgvL8AACVDgvwmQ9t+KEOttl/AAAAdQ1P+JkPfhihD8204wQAAMUMjACdDWZEoQ3DqBkEAADtD9AEnQzGfKEN2BpNBAAAbQ8UDJ0M7sihDriNbwQAAQkOWBSdDnc4oQxeLyUEAABNDZwcnQ/39KEPl76/BAAApQzcJJ0MpVSlDI1GqvgAAJkMICydDefspQ1HefsAAAEFD2QwnQxEvK0N7h65BAAAoQ6oOJ0N5PC1DLo+nwAAAPEN7ECdDe2AwQ034OUEAADZDSxInQ1eWNENq1LQ/AAA0QxwUJ0P8ZTlDjL+swAAAMUPtFSdDIcs9Qw+yTMEAADxDvhcnQ1dWQEPcyorAAAA7Q48ZJ0PD5D9DXJicwAAAMkNfGydD86s8Qyi/KsEAADFDMB0nQ0UCOEOpSODAAAA4QwEfJ0NVRTNDaVWXQAAALEPSICdD7VIvQyq7VMAAADxDoyInQ7B+LEMFFXhBAABCQ3MkJ0PvtCpDhli6QQAAM0NEJidDja8pQzcHFUEAADBDFSgnQ7YjKUM8idtAAAA0Q+YpJ0N92ShDNWgyQQAAKUO3KydDdq8oQ84UoT4AADJDhy0nQ7qUKENotBZBAAAlQ1gvJ0OugShDkmtgwAAAFUMpMSdDE3MoQ5WYm8EAAChD+jInQ25nKEOX3M6+AAAdQ8s0J0P6XShDpt81wQAAF0ObNidDOlYoQ8+xisEAADVDbDgnQ9VPKEOzAktBAAAsQz06J0OJSihDpV1tQAAAMkMOPCdDJUYoQ6mdG0EAADND3z0nQ4JCKEPg1ytBAAArQ68/J0OAPyhD7x8wQAAAAUOAQSdDCD0oQyD0HMIAADRDUUMnQwY7KEOmTzxBAAAaQyJFJ0NpOShDmJZjwQAANkPzRidDJzgoQ5Z9XEEAACZDw0gnQzM3KEOmzA3AAAAcQ5RKJ0OFNihDS2hDwQAAJENlTCdDFjYoQ7bChsAAACZDNk4nQ+A1KEPqdw3AAAAwQwdQJ0PeNShDTkT5QAAANkPXUSdDCzYoQ0yfXEEAAC1DqFMnQ2U2KENbM5lAAAAgQ3lVJ0PoNihDhm4DwQAAKUNKVydDkjcoQ4RtSD8AACJDGlknQ2E4KEMtDMfAAAAkQ+taJ0NUOShDcCqHwAAAJUO8XCdDZzooQ9iZTsAAADFDjV4nQ5w7KENBRgxBAAAtQ15gJ0PwPChD9WGYQAAAHkMuYidDZD4oQ0DmI8EAACRD/2MnQ/Y/KEPO/ofAAAAvQ9BlJ0OnQShDEcvXQAAAJkOhZydDd0MoQ8LdEMAAACFDcmknQ2VFKEOprOjAAAAnQ0JrJ0NyRyhDO7mjvwAACEMTbSdDn0koQ3wmAcIAACdD5G4nQ+xLKEPh9aW/AAAYQ7VwJ0NZTihDynKCwQAAH0OGcidD6VAoQ4sOFcEAACxDVnQnQ5tTKEM9GWtAAAAzQyd2J0NyVihD45gqQQAAKUP4dydDblkoQ4qRJj8AACVDyXknQ5NcKEO4JFfAAAAmQ5p7J0PhXyhDQ/gXwAAAIkNqfSdDW2MoQ2przMAAAC9DO38nQwRnKEN4H9NAAAAiQwyBJ0PfaihD2lvNwAAAEUPdgidD7m4oQ3J3u8EAABRDroQnQzZzKEOzmaPBAAAdQ36GJ0O7dyhDtHs3wQAAMENPiCdDgnwoQ89v8EAAACJDIIonQ4+BKEPRMdDAAAAZQ/GLJ0PohihDg254wQAAMkPCjSdDlYwoQ602F0EAABNDko8nQ52SKEPplKzBAAASQ2ORJ0MJmShDRMi0wQAAKkM0kydD4Z8oQ2cPsD8AABtDBZUnQzKnKEMjc1rBAAAqQ9aWJ0MIryhD6XuoPwAADkOmmCdDcrcoQ4671cEAABpDd5onQ4DAKEP4B2zBAAAWQ0icJ0NFyihDJlKWwQAAEUMZnidD2NQoQ7+mvsEAABdD6p8nQ1PgKEOXAo/BAAAiQ7qhJ0PU7ChDfJrdwAAAGUOLoydDf/ooQ+qnf8EAACpDXKUnQ30JKUPkgnY/AAAZQy2nJ0MBGilDCdCAwQAAHEP+qCdDRiwpQ2HEUsEAACNDzqonQ5NAKUNpEsjAAAAVQ5+sJ0M/VylD+LmiwQAAB0NwridDsnApQ8jCCcIAAB5DQbAnQ22NKUPS1jjBAAAQQxKyJ0MPrilDenDNwQAAGEPisydDX9MpQ/iajsEAACVDs7UnQ1b+KUPGyp/AAAAkQ4S3J0MzMCpDZQbGwAAAL0NVuSdDkGoqQwCukkAAABZDJrsnQ4avKkMtfKXBAAAoQ/a8J0PmAStDY3lAwAAAH0PHvidDs2UrQypbRsEAADtDmMAnQ1bhK0Oj6nFBAAAqQ2nCJ0MEgSxDC0EgwAAAH0M6xCdD0l8tQyX9ZcEAABRDCsYnQ928LkPq5tXBAAAfQ9vHJ0OkIzFDIh2RwQAALkOsySdDZKU1Q42s9MAAAENDfcsnQ2sFPkOVUp9AAABbQ07NJ0PzkkxD09BmQQAAWEMezydDX2BjQ+kFNsEAgIdD79AnQ9NngUObBUNBAICoQ8DSJ0P6+pNDNCgkQgCA0EOR1CdD1s2lQ6nIqkIAAMNDYdYnQydesUPJDg1CAADPQzLYJ0PSobFDb/FqQgAAwkMD2idDUnKmQ3NtXEIAgJ5D1NsnQ1q7lENlSpxBAICZQ6XdJ0OBE4JD9mM7QgAAekN13ydDvGJkQx3qrEEAAE1DRuEnQxQ9TUMrTnS+AAAnQxfjJ0MGaz5DM1i7wQAAM0Po5CdDT+A1Q8ETOMAAAB9DueYnQyRJMUMeSZLBAAAqQ4noJ0Nx2i5DHE6bwAAAKENa6idDj3wtQ+SRr8AAADRDK+wnQyOgLEOS++tAAAAQQ/ztJ0MwBCxDgSHgwQAAMkPN7ydD14wrQy1lzkAAAEtDnfEnQ5MtK0Npk/5BAAAfQ27zJ0Pc3ypDv/09wQAAJUM/9SdDoJ8qQ//zs8AAACRDEPcnQwVqKkOfQM3AAAAHQ+H4J0PtPCpDtfMMwgAAHUOx+idDuxYqQ7JrUcEAACJDgvwnQy/2KUPaxf7AAAAvQ1P+J0NN2ilDYrakQAAAIUMkAChDTsIpQ+ckDMEAAC5D9QEoQ5StKUOCTYpAAAA7Q8UDKEOdmylDGyOLQQAAJEOWBShDAIwpQ/p/scAAADxDZwcoQ2d+KUPGDJRBAAAjQzgJKEOMcilDglHOwAAAMUMJCyhDM2gpQ6X58kAAADVD2QwoQypfKUNeDTpBAAAcQ6oOKENIVylDg3RVwQAAI0N7EChDalApQzcNysAAAD5DTBIoQ3FKKUN7rKVBAAAiQx0UKENDRSlDZajowAAAOkPtFShDy0ApQ6b5hUEAAClDvhcoQ/Y8KUPx13O+AAAgQ48ZKEOzOSlDLJsTwQAAK0NgGyhD8zYpQ2eG5D8AACBDMR0oQ6s0KUOuShPBAAAuQwEfKEPPMilDIqaZQAAAI0PSIChDVjEpQ7YqxsAAADRDoyIoQzcwKUOU/CxBAAAwQ3QkKENrLylDqxLaQAAALkNFJihD6y4pQ6QimkAAADFDFSgoQ7IuKUPOKfpAAAA6Q+YpKEO6LilDNIqGQQAAHUO3KyhD/i4pQ+TvQsEAADxDiC0oQ3wvKUMkhJZBAAAiQ1kvKEMuMClDuQXmwAAAIEMpMShDEjEpQxwRE8EAAERD+jIoQyQyKUPcbtZBAAAyQ8s0KENjMylDyskMQQAAPEOcNihDzDQpQ55ZlkEAACFDbTgoQ102KUPMZQPBAAAdQz06KEMTOClDNIFDwQAAN0MOPChD7jkpQyBhXEEAAClD3z0oQ+w7KUM1rm++AAAWQ7A/KEMLPilDVPCZwQAAQ0OBQShDSkApQ7H9zUEAAC9DUUMoQ6hCKUPyqrdAAAAgQyJFKEMlRSlDVVIUwQAAKEPzRihDwEcpQ+jfo78AAD9DxEgoQ3dKKUNHrK1BAAA1Q5VKKENLTSlDVCs7QQAAKENlTChDOlApQwwdqL8AADVDNk4oQ0VTKUOzyzpBAAAeQwdQKENqVilDp2Y1wQAAIEPYUShDq1kpQ66aFcEAABdDqFMoQwZdKUMu6JLBAAArQ3lVKEN7YClDfMLPPwAAJ0NKVyhDC2QpQ6gCGcAAACBDG1koQ7RnKUNIexbBAAAdQ+xaKEN5aylDi7dGwQAALEO8XChDV28pQyoqJEAAAAxDjV4oQ1FzKUOFmuvBAAAsQ15gKENldylD2SYiQAAAFkMvYihDlHspQ57cm8EAADNDAGQoQ95/KUMeAhhBAAAZQ9BlKENEhClDIyKEwQAAKkOhZyhDx4gpQ51y7j4AADhDcmkoQ2aNKUOlKWdBAAAeQ0NrKEMikilDHCI5wQAAMUMUbShD/JYpQ44g7UAAAB9D5G4oQ/SbKUM7vynBAAAdQ7VwKEMLoSlDrRBKwQAAKEOGcihDQqYpQ9sg078AABpDV3QoQ5mrKUOSuXrBAAAqQyh2KEMSsSlDNNydPgAAE0P4dyhDrbYpQ2i1tcEAACFDyXkoQ2u8KUO1xgvBAAAvQ5p7KENOwilDRLanQAAAKkNrfShDVsgpQ3SoXj4AABlDPH8oQ4TOKUMkdIbBAAAlQwyBKEPb1ClDWpuawAAAJEPdgihDWtspQ0pru8AAAC5DroQoQwTiKUN1v4NAAAAgQ3+GKEPa6ClDpo0ewQAAPENQiChD3u8pQxCBkEEAADZDIIooQxH3KUPxjkBBAABFQ/GLKEN1/ilDWQzYQQAAI0PCjShDDAYqQ3rB4MAAADBDk48oQ9gNKkMNRb5AAAAdQ2SRKEPaFSpDp11RwQAAJkM0kyhDFh4qQ8/Cg8AAAC1DBZUoQ44mKkN2XDZAAAAnQ9aWKENELypD/tBLwAAAL0OnmChDOzgqQ674mEAAAA9DeJooQ3VBKkOmC9rBAAAUQ0icKEP2SipDrVeywQAAMkMZnihDwFQqQ/tn9UAAADRD6p8oQ9heKkOBEhpBAAANQ7uhKENAaSpDBErrwQAASkOMoyhD/nMqQxRg/EEAACxDXKUoQxN/KkNddsA/AAApQy2nKEOGiipD/ELFvwAAD0P+qChDWpYqQ9Ky3MEAABJDz6ooQ5WiKkOoFMXBAAApQ6CsKEM7rypDtp3XvwAAEkNwrihDU7wqQ5nixcEAABxDQbAoQ+LJKkMjnmzBAAATQxKyKEPv1ypDd7++wQAAHkPjsyhDgOYqQwJoTsEAADJDtLUoQ531KkNcTOFAAAAjQ4S3KENOBStD3VQAwQAAKENVuShDmxUrQ6NmRcAAACRDJrsoQ4wmK0ON0eTAAAA0Q/e8KEMtOCtDL30MQQAAPUPIvihDh0orQ8irjUEAACRDmMAoQ6ZdK0OxtOvAAAA1Q2nCKEOVcStDteYYQQAAM0M6xChDYoYrQ80z70AAABNDC8YoQxqcK0PU4MTBAAAzQ9zHKEPPsitDLKbpQAAAFkOsyShDj8orQ3VUrsEAAChDfcsoQ23jK0Mg23jAAAAcQ07NKEN8/StDvdd/wQAANUMfzyhD0hgsQ+JyDkEAACpD79AoQ4Y1LEN2YQ3AAAA1Q8DSKEOxUyxD8MQKQQAAOEOR1ChDb3MsQxHJOEEAABlDYtYoQ96ULEPvppzBAAAmQzPYKEMfuCxD4wPXwAAAJkMD2ihDV90sQ9qq28AAAClD1NsoQ60ELUOjlYDAAAAvQ6XdKENOLi1DAdnoPwAAHUN23yhDalotQ1LTgsEAACVDR+EoQziJLUN5kwjBAAApQxfjKEPyui1DNl6XwAAAJEPo5ChD2+8tQ679HsEAADVDueYoQz0oLkNh+NpAAAA9Q4roKENqZC5DXLlpQQAAM0Nb6ihDv6QuQyZoi0AAAB1DK+woQ6LpLkMQTY/BAAA9Q/ztKEOIMy9DgsdcQQAAJ0PN7yhD84IvQzcvCMEAADJDnvEoQ3nYL0PK4QlAAAAQQ2/zKEPANDBDANMAwgAANEM/9ShDiJgwQ+zdWUAAADZDEPcoQ6wEMUODap9AAABHQ+H4KEMlejFD2C6sQQAALEOy+ihDFPoxQ3FCv8AAAD9Dg/woQ8SFMkPEo0dBAAAmQ1P+KEO3HjNDcutRwQAAHUMkAClDr8YzQ3U1tsEAAEVD9QEpQ7h/NENCAoRBAABMQ8YDKUM9TDVDHJ61QQAAN0OXBSlDGC82QxzoUD8AAD1DZwcpQ68rN0MkirpAAAA9QzgJKUMRRjhD1z2XQAAAKkMJCylDI4M5QzMyeMEAADxD2gwpQ9PoOkO3los/AAAwQ6sOKUNefjxD3eVHwQAALEN7EClDsEw+Q4JlksEAADZDTBIpQ91eQEPX7SXBAABNQx0UKUPIwkJDf9MjQQAAP0PuFSlDBYpFQ6hA0cAAAEBDvxcpQxnLSEOMsQzBAAA+Q48ZKUM5o0xDjDNqwQAAQkNgGylDAzlRQyuQc8EAAFRDMR0pQ1PBVkPeVDDAAABdQwIfKUM4il1DGDgKvwAAY0PTIClDbhhmQ3obRsAAAGNDoyIpQzl5cUOMk2fBAABvQ3QkKUPmCIFDXY6YwQCAgkNFJilDk66OQyzpwsEAgJZDFigpQ9xwp0PfhgfCAIDMQ+cpKUPG0NVDYAyVwQDAC0S3KylDf8gUROqHEMIAAE1EiC0pQ3FKWkQRp1TCAICfRFkvKUOVlaBEj8oKwQAA3kQqMSlDi+HiRFoxHMIAIBFF+zIpQ75gFUXFF4jCAAA0Rcs0KUM7NTNFW8VKQQCwPkWcNilDDq4/RWsOfsEAQDpFbTgpQ7iqNEX5qLJCAMAgRT46KUM4lxdFfIwSQwAg9UQPPClD72LnRBfR20IAYKRE3z0pQ41QpET2Lfc+AMBlRLA/KUNnk19EI5PFQQAACUSBQSlDpAoYREKqcMIAgMpDUkMpQ/9W2UPyb+3BAICVQyNFKUMvHalDdekcwgCAmkPzRilDNl2PQ6AsskEAgItDxEgpQ18+gUMXGqRBAICMQ5VKKUPHeHFD5RweQgAAa0NmTClDnellQ2nMokAAAG9DNk4pQyxHXUOgxo1BAABUQwdQKUOwdVZD7WsdwAAAZEPYUSlDq+pQQ6yqmEEAAGdDqVMpQ6BVTEMCU9VBAABGQ3pVKUN6gEhDmB4gwAAAX0NKVylD40NFQ+ngzUEAAElDG1kpQymCQkPous9AAABQQ+xaKUN0JEBDxbh9QQAAT0O9XClD8xg+Q2Y4h0EAAFlDjl4pQ5tRPEMqc+VBAABEQ15gKUM5wzpDdswTQQAANkMvYilDzGQ5QxAzWcAAADZDAGQpQwgvOEMEwgvAAAA6Q9FlKUPzGzdDMQM5QAAAMEOiZylDoiY2Q0fUxMAAAEBDcmkpQwBLNUMBUCtBAABXQ0NrKUOkhTRDcekJQgAAMkMUbSlDsdMzQ1TY6b8AAD9D5W4pQ7syM0NO1DxBAAAyQ7ZwKUO1oDJD+7QgvwAAOUOGcilD3RsyQ12E3EAAACtDV3QpQ7KiMUNGVtTAAAAuQyh2KUPoMzFDFPpMwAAAQUP5dylDYM4wQ/6MgUEAADZDynkpQyFxMEPr27FAAAAyQ5p7KUNQGzBDCljyPwAARENrfSlDMMwvQ4KeoUEAADJDPH8pQxmDL0O0OR9AAAAtQw2BKUN5Py9DP94PwAAAL0PegilDzQAvQwQnTbsAADJDroQpQ6PGLkNcV05AAAAxQ3+GKUOTkC5DR9sbQAAAMENQiClDQ14uQ33e0D8AAEhDIYopQ2IvLkPzhM5BAAAxQ/KLKUOmAy5DhxY/QAAAOUPCjSlDz9otQxdTMkEAACdDk48pQ6G0LUMdlNbAAAAeQ2SRKUPokC1Dgw55wQAAMEM1kylDdW8tQ84iJEAAAEBDBpUpQxxQLUMjf5VBAAAuQ9aWKUO2Mi1DEEpNPwAAGkOnmClDIBctQwO5mMEAABlDeJopQzv9LEPa6Z/BAAAnQ0mcKUPp5CxDLJ28wAAAKEManilDEc4sQxjCmcAAACdD6p8pQ5q4LEMyE7fAAAAjQ7uhKUNupCxD5kYawQAAHUOMoylDfJEsQ7wXecEAADlDXaUpQ7B/LEP8BEhBAAAXQy6nKUP8bixD4nerwQAAMEP+qClDUl8sQ4IraEAAADtDz6opQ6VQLEOu9WpBAAAqQ6CsKUPrQixD07oQwAAAJENxrilDHDYsQ7thA8EAAExDQrApQy8qLEOGrv5BAAApQxKyKUMhHyxDPshHwAAAP0PjsylD7hQsQ5JYl0EAADFDtLUpQ5ULLENmjZ5AAAAdQ4W3KUMYAyxDhzFwwQAALUNWuSlDfvsrQ/9Agj8AAEdDJrspQ8/0K0OGWdhBAAAoQ/e8KUMb7ytDycZ7wAAAP0PIvilDeOorQ0OsmEEAACVDmcApQwTnK0OL4NzAAAAcQ2rCKUPv5CtD7k5+wQAAI0M6xClDfeQrQ9BHDsEAABVDC8YpQyfmK0M7MbfBAABHQ9zHKUPj6itD5qjYQQAAHkOtySlD3vQrQ+ZNX8EAAB5DfcspQxcJLENukWDBAAAWQ07NKUMcMixD4ZCxwQAARUMfzylDYIMsQ//kw0EAACdD8NApQ4caLUPRUMPAAAA0Q8HSKUMjGi5Dk7u8QAAAO0OR1ClDRpovQ6dbNkEAAD5DYtYpQyCRMUME7kZBAAApQzPYKUMlvTNDUdIrwQAAVkME2ilDp5o1Q2aVAUIAADxD1dspQ7p6NkO3qLBAAABIQ6XdKUN37zVDSISQQQAAOkN23ylD4Tw0Q+djuEAAAClDR+EpQ6oPMkOk+hDBAAAmQxjjKUPk+y9DPb4fwQAAL0Pp5ClD8lMuQxMOLD8AACpDueYpQykuLUMhikvAAAA/Q4roKUPReCxDfDmUQQAAOUNb6ilDLBIsQ0DdTkEAAD9DLOwpQ3PaK0NkLJlBAAA1Q/3tKUOCuytD5EcUQQAAPEPN7ylDv6grQwi6gkEAACRDnvEpQwGcK0MigPPAAAA5Q2/zKUOJkitDa9dWQQAAKENA9SlDI4srQ7nIYsAAAChDEfcpQziFK0MXTmHAAAAnQ+H4KUN0gCtDiA6QwAAAHkOy+ilDnnwrQ9rJV8EAAC1Dg/wpQ4t5K0NTOsM/AAAxQ1T+KUMedytDNRyxQAAAQUMlACpDP3UrQwpWrEEAAD5D9QEqQ9pzK0MwYZRBAAAuQ8YDKkPicitDnkcjQAAAIUOXBSpDSnIrQ5skJ8EAABNDaAcqQwlyK0NJkMPBAAAlQzkJKkMZcitDFkPOwAAAPEMJCypDcnIrQ25shEEAACxD2gwqQxFzK0P77gw/AAAwQ6sOKkPxcytD2IGRQAAAJ0N8ECpDEHUrQ/uhjsAAADpDTRIqQ2p2K0NYmWhBAAAyQx0UKkP/dytDFADRQAAAHkPuFSpDzXkrQ9OcV8EAAChDvxcqQ9N7K0PC9F7AAAA0Q5AZKkMQfitD+B4IQQAAGkNhGypDhYArQysEjMEAACJDMR0qQzKDK0MhMxjBAAAoQwIfKkMXhitDvoVhwAAAQkPTICpDNYkrQ1e2s0EAACRDpCIqQ46MK0OykfHAAAApQ3UkKkMikCtDfggkwAAAIENFJipD9JMrQ0M/OcEAACRDFigqQweYK0PSAPPAAAArQ+cpKkNcnCtDqFscvwAAKUO4KypD96ArQ6U9KMAAACdDiS0qQ9ulK0Ncu5TAAAAWQ1kvKkMNqytDZVitwQAALUMqMSpDkLArQ8W3pz8AADdD+zIqQ2y2K0NGmTRBAAApQ8w0KkOkvCtDECkvwAAANEOdNipDQcMrQ+7LA0EAAC1DbTgqQ0rKK0P+2po/AABDQz46KkPI0StDwXG5QQAAMkMPPCpDxdkrQ1/HxEAAAEFD4D0qQ03iK0OY7ahBAAAzQ7E/KkNt6ytDVJLiQAAAGUOBQSpDNvUrQ6ypl8EAAClDUkMqQ7f/K0Pa7T/AAAAlQyNFKkMICyxD+2DhwAAALEP0RipDPxcsQ9v4ub0AACtDxEgqQ3okLEPPPJK/AAAyQ5VKKkPZMixD5aS5QAAANENmTCpDhEIsQ3Ov90AAAChDN04qQ6tTLENudYrAAAApQwhQKkOGZixDmqFZwAAAPkPYUSpDWXssQzUljEEAACpDqVMqQ3eSLEPDnSTAAAAyQ3pVKkNErCxDcneqQAAAHkNLVypDPsksQ+WTbMEAADlDHFkqQwDqLEMDYEFBAAA1Q+xaKkNMDy1DgRb+QAAALUO9XCpDGjotQyVpaL4AACNDjl4qQ6lrLUOOuibBAAA4Q19gKkOWpS1DnKYlQQAANUMwYipDDOotQ4a+4kAAAEBDAGQqQw88LkOGH45BAAAmQ9FlKkNKoC5DpAQKwQAAKEOiZypDKh8vQz/l48AAAEhDc2kqQ4bKL0PQq8FBAAA8Q0RrKkPwyjBDBVEzQQAAPkMUbSpDq3kyQ1JlOEEAAFND5W4qQz2HNUMcxutBAAAsQ7ZwKkNvHTtD+NZxwQAARkOHcipDN9FEQ61klz8AAGZDWHQqQ64sVEOTmo5BAACEQyh2KkMbwGlDKf/xQQAAY0P5dypDGwCCQ9kABMIAgJBDynkqQ4k1j0OROyVAAACRQ5t7KkPau5hDOHt3wQAAjkNsfSpDE5eaQylxycEAAHpDPH8qQwfYk0M1wDbCAABpQw2BKkOBpYdDBSwZwgAAb0PegipDME90QwHmqcAAAG9Dr4QqQ3SOXENdjJNBAABMQ4CGKkNCtEpDAd+lPwAAMkNQiCpDeuk+Q5qXTsEAAD1DIYoqQ0noN0Ph9qJAAABKQ/KLKkMEDDRD4Z+vQQAANUPDjSpDnvkxQ32YQUAAAD5DlI8qQ+bRMEOi4VJBAAAxQ2SRKkPKHDBDzjVjPwAAR0M1kypDhKEvQ+LzukEAAEFDBpUqQ/pGL0MsyI1BAAAqQ9eWKkPTAS9DXDqgwAAAKkOomCpDOcwuQxSHmcAAACVDeJoqQ6KiLkMlKhrBAABAQ0mcKkOigi5D8eqLQQAAK0ManipDb2ouQ96bWsAAAClD658qQ7NYLkNwFqvAAAAoQ7yhKkNnTC5D2YzJwAAAN0OMoypDvkQuQx20C0EAAC1DXaUqQxxBLkPcjaC/AAAyQy6nKkMEQS5D775vQAAAL0P/qCpDGEQuQ0PoOz8AAD9D0KoqQwtKLkOkr4VBAAAmQ6CsKkOmUi5DXSoFwQAAO0NxripDu10uQ0wkSkEAAD9DQrAqQyxrLkOjpoRBAAA4QxOyKkPhei5D9lEYQQAAKEPksypDzIwuQ4SZ0cAAADFDtLUqQ+egLkMoxhdAAABNQ4W3KkMyty5DbkbyQQAAPENWuSpDss8uQ9gEU0EAACZDJ7sqQ3TqLkM7pw7BAAA0Q/i8KkOHBy9DJA+fQAAAM0PIvipDAicvQ2U/dkAAADNDmcAqQwJJL0Nuv21AAAAjQ2rCKkOobS9DgNpGwQAAPEM7xCpDG5UvQ06uRkEAAClDC8YqQ4m/L0Mw8dfAAAAzQ9zHKkMo7S9DBLZEQAAAKUOtySpDMx4wQ1nG48AAAElDfssqQ+9SMEOKaMVBAAA4Q0/NKkOqizBDxYruQAAAO0MfzypDvcgwQzV0I0EAAE9D8NAqQ4wKMUOhq+9BAAAqQ8HSKkOJUTFDLDHqwAAAQUOS1CpDN54xQ48cdkEAAD1DY9YqQynxMUN47TBBAABNQzPYKkMGSzJDzafVQQAAN0ME2ipDkawyQ9RtikAAADND1dsqQ6cWM0NlNbW9AAA8Q6bdKkNFijNDtVsHQQAAQkN33ypDkQg0Q+p2X0EAAFxDR+EqQ+GSNEN7tB1CAABDQxjjKkPAKjVD+VNdQQAAMEPp5CpD/9E1Q9A/usAAAFBDuuYqQ7uKNkMlqstBAAA5Q4voKkN5VzdDXEPUPwAAWUNb6ipDMjs4QzcTA0IAAEtDLOwqQ3M5OUNkNI5BAABIQ/3tKkOCVjpD55daQQAAREPO7ypDhZc7Q7OHBkEAAEVDn/EqQ8UCPUNcp/9AAABZQ2/zKkP3nz5DRgDTQQAAM0NA9SpDpHhAQ0CKV8EAADhDEfcqQ7KYQkMfiynBAAA7Q+L4KkMhD0VDFfIgwQAAW0Oz+ipDDu9HQ4+HmEEAAEFDg/wqQx5RS0PiESXBAABWQ1T+KkOkVU9DgUvVQAAAT0MlACtDRihUQ8sIpcAAAEdD9gErQ7YHWkOzPZjBAABgQ8cDK0NlWWFDYbKsvwAAdEOXBStD4t5qQ9sREkEAAFlDaAcrQ0c9eEM16vnBAACFQzkJK0M+k4ZDE59JwACAjEMKCytDTrWYQ9lUw8EAgNRD2wwrQ1jSuUNCbVVCAMADRKsOK0OWaPVDULsQQgDAN0R8ECtDr90sRAslLkIAIIRETRIrQ5JHeUTYhm9CAGC5RB4UK0PmE7BEmsGUQgBg9ETvFStD/qzrRBwwi0IAsBBFvxcrQwzVEUXHhZLBAIAfRZAZK0O/KiNFpa9qwgCgHEVhGytDAh8iRUPgr8IAUA1FMh0rQ/g2D0Xne/PBAEDmRAMfK0OhTeVEj17yQAAApkTTICtDASyqRCeABcIAwGNEpCIrQ+4WcETcbkXCAAAURHUkK0O2oyZErx2VwgAA10NGJitD/t3tQ+zvNsIAAJxDFygrQ8KZtUMRzkzCAACOQ+cpK0N5aZZDj5eGwQCAjkO4KytD9EeFQ72Ak0EAAHdDiS0rQyCndkMSv7E+AAB6Q1ovK0Mu0GlDk36BQQAAZ0MrMStDTJ1gQ4FWzEAAAIhD+zIrQ5qGWUOW5VlCAABrQ8w0K0MK1lNDsE+5QQAAPEOdNitD2SpPQ8pWmcEAAF9DbjgrQ5pIS0Muu51BAABaQz86K0MBBUhD9tePQQAAXUMPPCtDqkBFQ636vUEAAFJD4D0rQ5/jQkMLxnFBAABHQ7E/K0NJ20BD3JbEQAAAT0OCQStDDhk/QxhvfkEAAFBDUkMrQ1qRPUMzdZNBAAAyQyNFK0PjOjxDK64jwQAAQkP0RitDKg47Q7863kAAAEpDxUgrQxQFOkPArn9BAABiQ5ZKK0OeGjlDiZUjQgAAUUNmTCtDpEo4Q+CqxUEAAEJDN04rQ7aRN0Ob5CZBAAAzQwhQK0P17DZDRj17wAAAN0PZUStD91k2Q+cIJj8AADtDqlMrQ7TWNUOGKaVAAABGQ3pVK0NzYTVDafSEQQAARkNLVytDv/g0Qwk6iEEAAFFDHFkrQ1qbNEMvJeNBAAA7Q+1aK0M2SDRDMfnWQAAAU0O+XCtDbv4zQ48M+EEAAEZDjl4rQz69M0MPFpJBAAAkQ19gK0MBhDNDEkB4wQAASEMwYitDLVIzQ5pupUEAAFRDAWQrQ00nM0PKYgNCAABFQ9JlK0MFAzND2OePQQAAP0OiZytDCOUyQ3+vQUEAAENDc2krQx3NMkMVl4FBAABZQ0RrK0McuzJDkRMZQgAAPUMVbStD664yQ1IRJUEAADZD5m4rQ4KoMkOf31VAAAAuQ7ZwK0PnpzJD2fyUwAAANkOHcitDMq0yQ4KzVEAAAEdDWHQrQ4y4MkOkO6JBAAAzQyl2K0MuyjJDCUZXPgAARUP6dytDauIyQ7HskEEAAGRDynkrQ6MBM0Nz+UNCAAAqQ5t7K0NaKDNDm4USwQAAS0NsfStDKVczQ7RGvUEAAGhDPX8rQ9GOM0O8xFFCAAAyQw6BK0M20DNDOBvovwAAWEPegitDcBw0Qz+OD0IAAE1Dr4QrQ850NEONWcRBAAA5Q4CGK0Pm2jRDRKOEQAAAVENRiCtDolA1Q/B69UEAAEdDIoorQ1jYNUNCPYlBAAApQ/KLK0PgdDZDBE5XwQAAJUPDjStDuyk3Q9lNkcEAAEtDlI8rQzz7N0MdJphBAABXQ2WRK0PJ7jhDuonwQQAAR0M2kytDKAs6Q4dNT0EAAEhDBpUrQ/NYO0PScEpBAAAuQ9eWK0M04zxDQTNuwQAAQEOomCtDSLg+Q+jboz8AAE5DeZorQ1LrQEPjSlFBAAA/Q0qcK0MLl0NDa+GSwAAAS0ManitDj+RGQxpug0AAAFJD658rQ18dS0MlVNxAAABCQ7yhK0Po2VBDep5twQAAdUONoytDIGxZQ/+e3EEAAHJDXqUrQ1SrZ0PGSiVBAAB/Qy6nK0Pdj4BDSe4HwAAAm0P/qCtDA4iXQyX/3UAAAMxD0KorQ0IZv0Pja85BAAD5Q6GsK0NdsP1DqwsWwQBANkRyritDVCorRMZaMUIAgGlEQrArQwQhYkSP3+tBACCMRBOyK0P60I1ELn1YwQAApUTksytDAZ2kRNX9RUAAgLhEtbUrQ3vTrERNyLpCAICfRIa3K0NRgaJEMFTAwQAgjURWuStDc4mKRDyjpUEAwF1EJ7srQ75FW0SdkB5BAMAgRPi8K0OdVSVEo7OSwQAA9UPJvitDlCP1Q/FOjr4AgKtDmcArQ8WFuUNSXODBAACOQ2rCK0MdLpRDl8NFwQCAg0M7xCtDezN9Q1XIHEEAAGVDDMYrQxxAZUOfN4C+AABrQ93HK0MtvFdDmR6aQQAAdkOtyStDCYBPQ9v/GUIAAE1DfssrQ1PrSUNeK0VAAABZQ0/NK0PUxUVDYdGZQQAAWUMgzytDuIFCQ0Dys0EAAEVD8dArQ6nZP0PpyqRAAABDQ8HSK0NWpj1DRzWrQAAAaEOS1CtD9M07QzHIMEIAADZDY9YrQ/U9OkOjvofAAABAQzTYK0Nj6DhDpvPiQAAALEMF2itDe8I3Q7QnPMEAAD9D1dsrQ9fDNkOXwgNBAABIQ6bdK0PQ5TVDf9GQQQAAOkN33ytDGiM1Q7+cm0AAAD5DSOErQ253NEMZiRhBAABTQxnjK0NU3zNDXwX5QQAAOEPp5CtD81czQ50BlUAAADRDuuYrQ/LeMkPbhpA/AAA2Q4voK0NecjJDYGhjQAAAOENc6itDlhAyQzjtvUAAAC9DLewrQzq4MUOWDi7AAAAwQ/3tK0MiaDFD3BC0vwAAJkPO7ytDUB8xQ/v0McEAADRDn/ErQ+zcMEPuxEhAAABDQ3DzK0M+oDBDD/6SQQAAN0NB9StDpWgwQ1zr0kAAADZDEfcrQ5c1MEMkTblAAAAoQ+L4K0ObBjBDrmkAwQAAMUOz+itDSNsvQ/9bkj8AAD5DhPwrQ0KzL0Pdy2RBAAAyQ1X+K0M4ji9D43EcQAAANEMlACxD5GsvQ4+DkkAAADVD9gEsQwRML0N2f7ZAAAAxQ8cDLENjLi9Dkc7oPwAAK0OYBSxDzRIvQ69ZgsAAAEFDaQcsQxj5LkNBN5BBAAA1QzkJLEMa4S5DtdzDQAAANEMKCyxDssouQ82ppkAAAEZD2wwsQ761LkMSUrpBAAAxQ6wOLEMioi5DcncXQAAAIUN9ECxDxY8uQ1b8WMEAACZDTRIsQ5B+LkP/6AfBAAAwQx4ULENtbi5DbcnIPwAAPkPvFSxDSl8uQ18LekEAADlDwBcsQxZRLkOm7ipBAAAtQ5EZLEPBQy5DSeChvwAAMENhGyxDPTcuQ35h5D8AAB9DMh0sQ38rLkPpt3LBAAA8QwMfLEN6IC5DX/hdQQAAR0PUICxDJhYuQ9JOx0EAADRDpSIsQ3kMLkPmcL5AAAAkQ3UkLENsAy5DvjYgwQAANENGJixD+fotQ++gwEAAAD5DFygsQxrzLUMyZ4BBAAAzQ+gpLEPM6y1DioaiQAAAMUO5KyxDDOUtQ/y8RkAAADdDiS0sQ9reLUNdEhJBAAAuQ1ovLEM32S1DKiIbPgAAJEMrMSxDKNQtQ3tCHcEAACVD/DIsQ7LPLUMf+wzBAAA5Q800LEPiyy1D4EEzQQAAP0OdNixDy8gtQ6e5iUEAADVDbjgsQ5DGLUMHLudAAAAPQz86LEN1xS1Dqyv2wQAAKkMQPCxDFMYtQ/qEccAAABZD4D0sQ7vJLUPYTb7BAAA7Q7E/LEMd0y1DLs5SQQAANUOCQSxDJ+ctQywb40AAACtDU0MsQ3gNLkMNXkPAAAAzQyRFLEOITy5DAg+WQAAAEkP0RixDcbUuQ4Wr5cEAAC9DxUgsQ4dAL0PyDYG+AAA2Q5ZKLENq5S9Dy1LDQAAAMENnTCxDsIcwQ76vB78AACRDOE4sQ/L5MEMan0/BAAAYQwhQLEOdDTFD6GzIwQAAPEPZUSxDWrgwQ2d6NEEAABhDqlMsQxYfMEOx+MDBAAAsQ3tVLEMbcy9D38ZcwAAADENMVyxD39cuQ3tfC8IAADBDHFksQ+9eLkNbiNA/AAAoQ+1aLENDCy5DYmjBwAAARUO+XCxDv9YtQwRKuUEAAD5Dj14sQwq4LUOwP4JBAAAwQ2BgLEOipi1DmFcWQAAAJ0MwYixDjZwtQ6+R08AAADZDAWQsQ02WLUMxmwZBAAAvQ9JlLEMUki1DK/a2PwAAGkOjZyxDCY8tQ0h4nMEAAChDdGksQ8iMLUMMmbHAAAA7Q0RrLEMgiy1D/k1XQQAAI0MVbSxD9IktQzqfKMEAAC1D5m4sQzCJLUM5MAm/AAAhQ7dwLEPJiC1Di4xIwQAAKkOIcixDs4gtQ8QsYsAAADJDWHQsQ+iILUP+4o5AAAAuQyl2LENiiS1D3TvtPgAALEP6dyxDHYotQ4AOxb8AACdDy3ksQxaLLUO7YtHAAAAoQ5x7LENLjC1DUomxwAAAJENsfSxDuo0tQ5zbGMEAADdDPX8sQ2OPLUPTCRdBAAANQw6BLENGkS1DFkUCwgAALUPfgixDYpMtQ3RiE78AAD5DsIQsQ7qVLUMuUoNBAAA0Q4CGLENOmC1DNPbMQAAAIkNRiCxDIJstQweyOcEAACZDIoosQzOeLUNWxvPAAAAkQ/OLLEOIoS1DexgawQAAJkPEjSxDI6UtQ1Gk9MAAACpDlI8sQwepLUOyQWrAAAAwQ2WRLEM5rS1D3rEUQAAANUM2kyxDvLEtQ3HI6UAAAC9DB5UsQ5i2LUMJtKQ/AAAhQ9iWLEPRuy1DDr1LwQAAKkOomCxDbsEtQ4tbcMAAACZDeZosQ3fHLUPu7vjAAAAvQ0qcLEP1zS1DSwWZPwAAK0MbnixD8tQtQ3k8NcAAACxD7J8sQ3jcLUP+O+6/AAA3Q7yhLEOU5C1Du7YRQQAAJUONoyxDVe0tQ1PVDsEAADVDXqUsQ8v2LUOlJuFAAAAoQy+nLEMIAS5D/SDAwAAAM0MAqSxDIgwuQ8p7nkAAAB1D0KosQzEYLkOEwYjBAAAsQ6GsLENRJS5DJVQJwAAAO0NyrixDojMuQ9vFTEEAADVDQ7AsQ0tDLkOTltdAAAAjQxSyLEN4VC5DfEc1wQAAI0PksyxDW2cuQ6x1NsEAACZDtbUsQzF8LkMNwwfBAAAhQ4a3LENBky5DEzRZwQAAJ0NXuSxD4awuQxec9cAAABRDJ7ssQ3XJLkOmS9bBAAAvQ/i8LEN36S5Dski0PQAAQ0PJvixDew0vQyqUn0EAADVDmsAsQzQ2L0OFOblAAAAtQ2vCLEN/ZC9DwR8ZwAAAIEM7xCxDbpkvQ9qWecEAADRDDMYsQ1XWL0NSNYVAAAA3Q93HLEPmHDBDSmPcQAAAHEOuySxDRW8wQyl6o8EAACNDf8ssQz7QMEPnA13BAAAvQ0/NLEOLQzFDweIQwAAAPUMgzyxDbc4xQyoZM0EAADVD8dAsQyd5MkNCtiFAAAA6Q8LSLEO1UjNDXqnVQAAAOEOT1CxD4Hk0QwiIYUAAADtDY9YsQ5cwNkMk7ZlAAAA/QzTYLEN0/jhDfTHAQAAAS0MF2ixD8N89Q/8AUkEAAEJD1tssQ41sRkOpkY3AAABtQ6fdLEO6w1RDMeLBQQAAckN33yxDyAVrQ/BG30AAgJlDSOEsQ0YihUPP7SJCAICVQxnjLEPxlZhDRXzFwAAAqkPq5CxDvWytQ0Iv28AAgLJDu+YsQ+Ilv0MgXsrBAACxQ4voLEN46sdDwlM3wgAAuUNc6ixDAOnDQwGQrsEAgLtDLewsQ6b6tEM8q1BBAICXQ/7tLEPevqBD2+2TwQAAhEPP7yxDXGqMQ7qlhsEAAHNDn/EsQwhjdkMCwljAAABPQ3DzLEP2tVxDXV9bwQAAR0NB9SxDp4BLQ9IUkMAAADRDEvcsQz7sQEPaw07BAABKQ+P4LEM2yTpDp2xzQQAAPEOz+ixDpUg3Q1zrlkAAADdDhPwsQ6Y1NUMKLeU/AAAqQ1X+LEME4DNDPgAewQAANEMmAC1DM+4yQ4fmiD8AADZD9wEtQ6Y1MkN9lnJAAAA6Q8cDLUMZojFDad4FQQAAREOYBS1DBykxQ8W3lkEAADFDaQctQyfEMEO8Y28+AABGQzoJLUM2bzBDT4asQQAANkMLCy1DFScwQ1Idu0AAADdD2wwtQ2TpL0OD0+JAAAA4Q6wOLUNHtC9DirsEQQAANUN9EC1DSoYvQ8M2r0AAAD5DThItQ0FeL0PsG2pBAAAwQx8ULUM+Oy9DcMJEPwAARUPvFS1DfBwvQx8cr0EAAC5DwBctQ14BL0PMroC/AAAfQ5EZLUNf6S5D7JV+wQAAK0NiGy1DE9QuQ60EdcAAAB9DMx0tQx7BLkPnEXzBAAAqQwMfLUM2sC5DsgaWwAAALEPUIC1DF6EuQ95FKMAAAB9DpSItQ42TLkPVOHnBAAAgQ3YkLUNohy5DhXZowQAALUNHJi1DgHwuQyJAvr8AABNDFygtQ7NyLkOVldvBAAAPQ+gpLUPhaS5DDE/7wQAAFkO5Ky1D82EuQ5cPw8EAABtDii0tQ9BaLkOA1prBAAAgQ1svLUNlVC5DVkZlwQAAG0MrMS1DoU4uQwt1msEAADBD/DItQ3VJLkORRds/AABGQ800LUPSRC5Dbtm9QQAAM0OeNi1DrkAuQ0nql0AAACFDbjgtQ/08LkPJz1PBAAAvQz86LUO1OS5DkkpGPwAAHUMQPC1D0DYuQ3+2icEAAC1D4T0tQ0Q0LkM5Ipq/AAAoQ7I/LUMMMi5DjEHGwAAAK0OCQS1DIjAuQ20ITMAAAC1DU0MtQ38uLkN8P5e/AAA3QyRFLUMfLS5DCi4NQQAAFEP1Ri1D/isuQ/Rf0cEAACBDxkgtQxgrLkOFsWLBAAArQ5ZKLUNpKi5DW5pKwAAAJ0NnTC1D7ykuQ9A95cAAAENDOE4tQ6UpLkPasqZBAAAvQwlQLUOJKS5DpXZWPwAASEPaUS1DmikuQy+zzkEAADBDqlMtQ9UpLkOXFes/AAAvQ3tVLUM4Ki5Dc8hVPwAAQkNMVy1DwSouQ/ypnkEAAD5DHVktQ24rLkMcSX1BAAAaQ+5aLUM/LC5D+mGhwQAAJkO+XC1DMi0uQyXTAsEAACRDj14tQ0YuLkNk5CLBAAAmQ2BgLUN6Ly5DofcCwQAAIkMxYi1DzTAuQ84MQ8EAADdDAmQtQz4yLkMh3AxBAAAVQ9JlLUPNMy5DZZ7JwQAAK0OjZy1DeDUuQwxeTcAAACVDdGktQ0A3LkMFdBPBAAA1Q0VrLUMkOS5DcdvYQAAAPEMWbS1DJDsuQ7lNXEEAADhD5m4tQ0A9LkMBLBxBAAAiQ7dwLUN3Py5DbvdDwQAAI0OIci1DyUEuQ5EcNMEAACVDWXQtQzdELkNpQxTBAAA3Qyp2LUO/Ri5DCpQLQQAANkP6dy1DZEkuQ4jT9kAAABxDy3ktQyRMLkMeYZLBAAAfQ5x7LUMATy5D/e90wQAAC0NtfS1D+FEuQ+FHDcIAACVDPn8tQw1VLkPUUBXBAAAkQw6BLUNAWC5D+oMlwQAAOEPfgi1DkFsuQwNHGkEAAB9DsIQtQ/9eLkPo73XBAAAfQ4GGLUOMYi5Dxyh2wQAAG0NSiC1DOmYuQ9Mxm8EAACJDIootQwlqLkOUoEbBAAAdQ/OLLUP6bS5D0W+LwQAAIEPEjS1DDnIuQ98gZ8EAAChDlY8tQ0Z2LkPCyM7AAAAoQ2aRLUOkei5DdlTPwAAAF0M2ky1DKH8uQ0L5u8EAACJDB5UtQ9WDLkNWPUjBAAAjQ9iWLUOtiC5Dyoo4wQAAJkOpmC1DsI0uQ/7aCMEAACFDepotQ+GSLkMRLlnBAAAeQ0qcLUNCmC5DEsKEwQAAF0Mbni1D1p0uQ67uvMEAACND7J8tQ56jLkPiOTrBAAAzQ72hLUOeqS5DQsyKQAAAJkOOoy1D2K8uQ4L9CsEAABtDXqUtQ1C2LkN/sp3BAAAgQy+nLUMIvS5Dh9BrwQAAGEMAqS1DBsQuQy0gtsEAADhD0aotQ0vLLkNMSxNBAAAvQ6KsLUPe0i5D54g0PgAAIUNyri1DwtouQx2sXcEAACZDQ7AtQ/ziLkPGLw7BAAAWQxSyLUOT6y5DmFzHwQAAM0Plsy1DjPQuQ4VugUAAADhDtbUtQ+39LkMsIRBBAAAXQ4a3LUO+By9D8z3AwQAALUNXuS1DBxIvQ8qBBMAAACRDKLstQ9AcL0P/zDHBAAAyQ/m8LUMiKC9Ddfc1QAAAMEPJvi1DCDQvQ/33Sz8AACJDmsAtQ41AL0PLCFTBAAAtQ2vCLUO9TS9DKm8TwAAAGkM8xC1DpVsvQyzdqsEAADhDDcYtQ1ZqL0OeWglBAAAOQ93HLUPfeS9DfucFwgAAOEOuyS1DVIovQ8ZaB0EAABxDf8stQ8ebL0M73pzBAAAxQ1DNLUNRri9DWdeoPwAAI0Mhzy1DC8IvQ7AgTMEAAC1D8dAtQxHXL0M1xDXAAAA0Q8LSLUOD7S9Dqk+CQAAANUOT1C1DhAUwQ3NPn0AAACVDZNYtQz4fMEPm8zHBAAAxQzXYLUPeOjBD5CFFPwAAG0MF2i1Dl1gwQ7vEqsEAABND1tstQ6V4MEMoxevBAAAjQ6fdLUNKmzBDn7RZwQAALEN43y1D08AwQ2AamMAAABFDSeEtQ5jpMEPCTP/BAAAcQxnjLUMAFjFD/K+owQAAIUPq5C1DfkYxQ/MzgsEAAD1Du+YtQ557MUMlRjhBAAA2Q4zoLUP9tTFDU0CJQAAALENd6i1DWfYxQybLvsAAADBDLewtQ449MkOcYw/AAAAmQ/7tLUOkjDJDPcpIwQAAPkPP7y1D0+QyQ9iyMUEAABpDoPEtQ5NHM0OWPMrBAABGQ3HzLUOrtjNDqkqSQQAAGENB9S1DRDQ0Qx2i4cEAACBDEvctQwPDNEMaGKbBAAAuQ+P4LUMvZjVD6cXswAAAO0O0+i1D3SE2Q2fEm0AAADJDhfwtQzH7NkMWZp/AAAAVQ1X+LUO/+DdD/OILwgAAK0MmAC5DKCM5Q3oyYsEAADlD9wEuQ0eGOkNhI8O/AABPQ8gDLkPvMzxDi2CWQQAAOEOZBS5DfUo+Q6BPycAAADtDaQcuQ0EEQUMkiMDAAABnQzoJLkMJ2ERD3Z8IQgAAYkMLCy5Dg7RKQ+pbukEAAEtD3AwuQ31YVEPUhxXBAABWQ60OLkPbsGRDrQ1rwQCAi0N9EC5DFfp/Q1YvuEEAgJ9DThIuQ8CelUP7E55BAIDGQx8ULkM+abVDDrYIQgCA2UPwFS5DwvrfQ0dYT8EAwAZEwRcuQ4yGCUQGozHBAEAmRJEZLkObMSREWZkDQQAANURiGy5DSqk6RD8ptcEAwDREMx0uQ2c8RkQ344vCAMBDRAQfLkPoaEJEL4yrQADAM0TVIC5DXswwRGToPEEAQBJEpSIuQ9WYF0SUGqvBAIDoQ3YkLkMEIvpDHxANwgCAuUNHJi5DXtvKQ/LaCsIAAKRDGCguQ+WBpUN58kDAAICKQ+kpLkPZyYpD5bETvwAAeEO5Ky5Dh2hyQxrvskAAAFFDii0uQ32zXEPKNzvBAABdQ1svLkNQx09DBYtTQQAARkMsMS5DSBBIQwASBMAAAEtD/DIuQ588Q0MobPhAAAA8Q800LkOw+D9D+yt+wAAAT0OeNi5DKpM9Q7Jmi0EAAENDbzguQ9yzO0N4hOlAAAAqQ0A6LkNsLjpDXXOBwQAAQEMQPC5DrOo4Q3+q4kAAACxD4T0uQ7zZN0PAmz3BAAA5Q7I/LkNc8TZDH6kDQAAAN0ODQS5D8ik2Q6YNVj8AAFNDVEMuQ6Z9NUPQEuxBAAATQyRFLkPb5zRDbJ8HwgAAMEP1Ri5D5WQ0Q6GcjMAAADpDxkguQ87xM0M7xsFAAAArQ5dKLkMvjDND8MIIwQAAKUNoTC5DEDIzQ/kgI8EAAEBDOE4uQ9DhMkP94lFBAABXQwlQLkMYmjJDopcRQgAAEkPaUS5DxVkyQxVnAcIAAClDq1MuQ+cfMkNv/hHBAAA8Q3xVLkOv6zFDDEUhQQAAL0NMVy5DcLwxQwYcL8AAACVDHVkuQ5WRMUNJGUnBAAA4Q+5aLkOdajFDYKzSQAAALEO/XC5DG0cxQ2vjqMAAADNDkF4uQ7AmMUPXp+w/AAAjQ2BgLkMJCTFDk5BgwQAAJ0MxYi5D3u0wQ97dHsEAADNDAmQuQ+/UMEM5xApAAAArQ9NlLkMGvjBDscC3wAAANUOkZy5D8KgwQ/bhikAAACtDdGkuQ4SVMEOLsLLAAAA0Q0VrLkObgzBDJhlfQAAALUMWbS5DFHMwQ+XEXMAAACdD524uQ89jMEPrPBbBAAA6Q7hwLkOyVTBD5KQaQQAAMEOIci5DpUgwQ1lJkb4AAD9DWXQuQ5I8MEPiNmxBAAAqQyp2LkNmMTBDwizGwAAAJ0P7dy5DECcwQ/xwEsEAACVDzHkuQ38dMEP01zHBAAA2Q5x7LkOnFDBDMGu9QAAALUNtfS5DeQwwQzQeQ8AAADpDPn8uQ+sEMENVsR9BAAAhQw+BLkPy/S9DHt9vwQAAJkPggi5DhfcvQ1B4H8EAAB1DsIQuQ5zxL0PfjJfBAAAqQ4GGLkMv7C9D3oW9wAAAN0NSiC5DOOcvQwkZ40AAADNDI4ouQ7DiL0PoU0dAAAAkQ/SLLkOU3i9DPuk9wQAAKUPEjS5D3tovQ8Fb28AAACFDlY8uQ4vXL0O2eG3BAAAcQ2aRLkOZ1C9DyaSewQAAI0M3ky5DBtIvQ1wgTcEAAC5DCJUuQ9DPL0Mt6Oe/AAAhQ9iWLkP5zS9Dld9swQAAKUOpmC5DgswvQ02Q2cAAAB5DepouQ2/LL0N4W47BAAA0Q0ucLkPFyi9DYKeGQAAAK0Mcni5DjsovQ7BRmcAAACVD7J8uQ9jKL0OArSzBAAAjQ72hLkPAyy9DBrxMwQAALEOOoy5Dfc0vQ1Zfc8AAACRDX6UuQ37QL0PaBz3BAAAuQzCnLkOc1S9D/83qvwAAMkMAqS5Dbd4vQ8tkCEAAABpD0aouQ5PtL0OYbK/BAAAwQ6KsLkPqBjBDg0zdvAAADkNzri5DNS8wQ9a8CMIAACNDQ7AuQ/xqMEPHr1bBAAAxQxSyLkOWvDBDA9SGPgAAQkPlsy5DxSExQ9rxhkEAADBDtrUuQ5qRMUMyzci/AABPQ4e3LkMe+zFDDyfoQQAAHkNXuS5D/EUyQ98vosEAABdDKLsuQzpaMkPQ0drBAAA3Q/m8LkN3MDJDGvGZQAAAH0PKvi5Dk9gxQ5rElsEAADNDm8AuQ0lsMUNH28k/AAAqQ2vCLkNGATFDuijgwAAAQEM8xC5DEqUwQ9yudUEAACBDDcYuQ6tdMENZ7YLBAAAoQ97HLkNBKzBDDLQCwQAAN0OvyS5DegowQ82w3kAAACNDf8suQ6r2L0Odak/BAAAiQ1DNLkNs6y9DwLZewQAANkMhzy5DZuUvQ0xTw0AAABpD8tAuQ2LiL0MTE6/BAAA0Q8PSLkMY4S9DDt2DQAAAKEOT1C5D0+AvQ1wa/MAAACZDZNYuQznhL0OQEx7BAAAbQzXYLkMb4i9D2BCnwQAAPkMG2i5DX+MvQw7KYUEAACVD19suQ/bkL0NhTy7BAAAjQ6fdLkPV5i9DV21OwQAAN0N43y5D9ugvQ0rh4kAAACVDSeEuQ1HrL0MWtS7BAAAtQxrjLkPk7S9DEnk7wAAAI0Pr5C5Dq/AvQ7YKT8EAABdDu+YuQ6TzL0MjncfBAABGQ4zoLkPO9i9Dk0mwQQAAJUNd6i5DJvovQ2WiL8EAAB1DLuwuQ679L0Nu7ZfBAAAfQ//tLkNkATBDHwuIwQAAMUPP7y5DSQUwQ/y2ej8AABxDoPEuQ14JMEPuSqDBAAA2Q3HzLkOjDTBDnku+QAAANUNC9S5DGhIwQ7m8nUAAAB5DE/cuQ8UWMEMmtpDBAAAwQ+P4LkOlGzBDECTdvQAAI0O0+i5DvCAwQ7wLUsEAABxDhfwuQw0mMENoMKHBAABVQ1b+LkObKzBDlFETQgAALEMnAC9DaTEwQyothsAAACpD9wEvQ3s3MENs78bAAAAoQ8gDL0PVPTBDVd0DwQAAKUOZBS9DfEQwQ3uP6MAAAClDagcvQ3RLMEODbunAAAAoQzsJL0PEUjBDPSwFwQAAG0MLCy9DclowQ4zTqsEAACRD3AwvQ4RiMENHKEbBAAAoQ60OL0MFazBDTLAGwQAAEEN+EC9D/HMwQ+7PAcIAACZDTxIvQ3N9MEMy1yfBAAAsQx8UL0N3hzBD4+6QwAAAHEPwFS9DFZIwQ6WQpMEAABpDwRcvQ1udMEPU6rTBAAAPQ5IZL0NaqTBDZ6UGwgAAGENjGy9DJrYwQy2xxcEAAC5DMx0vQ9TDMEMF9TDAAAAoQwQfL0N/0jBD6ScNwQAAJEPVIC9DQuIwQyQkTsEAACBDpiIvQ0HzMEMHmofBAAAwQ3ckL0OiBTFD4NCCvwAALkNHJi9DkxkxQ6dkRsAAAC9DGCgvQ0kvMUNL0gvAAAAjQ+kpL0MFRzFDS3BkwQAAKUO6Ky9DEGExQwQRBsEAADRDii0vQ8V9MUO5jiBAAAAfQ1svL0OOnTFDdOyUwQAALUMsMS9D7sAxQ7IdmMAAABRD/TIvQ3/oMUP8Q+/BAAApQ840L0MFFTJDSlARwQAAJ0OeNi9Da0cyQ6p2NMEAAChDbzgvQ9uAMkOpDSjBAAAvQ0A6L0PPwjJDxbNwwAAAI0MRPC9DPA8zQ995gMEAACRD4j0vQ99oM0PzjXbBAAA9Q7I/L0P50zNDcMASQQAAQEODQS9D41c0Q9SBOkEAADVDVEMvQ2YCNUMceBm8AABKQyVFL0MK7jVDrY+gQQAAPkP2Ri9DcEw3Q/5x1kAAACNDxkgvQ0x0OUNeorPBAABYQ5dKL0MU7zxDYofYQQAAXENoTC9DJn1CQ9MWzEEAAGZDOU4vQw8DS0OG59dBAAB/QwpQL0OUVFdDrq0eQgAAfUPaUS9Dy91nQ6YRqUEAgIhDq1MvQ2Y8fEPPHKZBAACUQ3xVL0NIcolDgtuoQQAAlkNNVy9DCHKUQz38RkAAgKVDHlkvQ/T0nEPFsIhBAICtQ+5aL0PioaBD4+HNQQCArkO/XC9DYjqeQ/EsAkIAgKpDkF4vQ4iblkPCIx9CAACmQ2FgL0O9BYxDFNJPQgAAlUMyYi9DSrmAQ7E1IkIAgIFDAmQvQ6CfbEP+ArNBAABjQ9NlL0M8WltDcrj0QAAAS0OSZS9D+jVOQ3x+TcAAAF5DUWUvQzPvRENshshBAAAvQw9lL0Pnxz5DdH58wQAAN0POZC9DleE6Q15leMAAAEVDjWQvQ/p2OENbkEhBAAAwQ0xkL0O49DZD8ZbewAAAM0MKZC9D1vk1Q451PsAAADBDyWMvQ5FMNUMckqnAAAAyQ4hjL0PtzDRDQzszwAAAUkNHYy9D8Gk0Q36w7EEAADVDBWMvQ5IaNEPHbWU/AAAnQ8RiL0PB2TNDF5xNwQAAJUODYi9DXqQzQ+JFasEAACxDQmIvQ0h4M0P7CO/AAAAvQwFiL0PvUzND0n2KwAAAMUO/YS9DHzYzQ6mHDcAAAEJDfmEvQ+YdM0OmIW5BAAArQz1hL0OCCjNDHKgAwQAAMUP8YC9DV/syQ6Wr/b8AADxDumAvQ+jvMkN7ARFBAAAvQ3lgL0PP5zJDtfN5wAAAQkM4YC9DuOIyQ3zUcUEAADND918vQ2LgMkPV8Pw9AAArQ7VfL0OW4DJDwxL8wAAAJUN0Xy9DKuMyQ6UyXsEAADdDM18vQ/3nMkNaAINAAAA4Q/JeL0P27jJDTiGiQAAAO0OwXi9DAfgyQ+5/AEEAADJDb14vQxQDM0P6iYG/AAAsQy5eL0MoEDND8gTiwAAAM0PtXS9DOx8zQ3zW+b0AAE1Dq10vQ1EwM0N1fc5BAAAoQ2pdL0N0QzNDOTc0wQAAIUMpXS9DrlgzQ3TFksEAADZD6FwvQxRwM0Mf+yNAAAAnQ6ZcL0O5iTNDkZtIwQAAQUNlXC9DuqUzQ1ykVUEAADxDJFwvQzfEM0OLvANBAABMQ+NbL0NW5TNDT9XAQQAAM0OhWy9DQgk0QyehhL8AADBDYFsvQy4wNEPLBYbAAAA5Qx9bL0NUWjRDh7WUQAAALkPeWi9D9Ic0Q4n+0MAAAC9DnFovQ1u5NENXK7fAAABGQ1taL0Pc7jRDHomIQQAAR0MaWi9D2ig1QzK5jkEAAE9D2VkvQ8JnNUPywcxBAABMQ5dZL0MSrDVDbp+yQQAANENWWS9DW/Y1Q5Yt+78AAAlDFVkvQ0JHNkMHHTXCAAAzQ9RYL0ODnzZDx+BnwAAAN0OSWC9D+v82Q7TEwDgAACZDUVgvQ6NpN0MVTYvBAAAmQxBYL0Oi3TdDD+2OwQAAPUPPVy9DTV04Q2tWlEAAADVDjVcvQzLqOEN6jHrAAABCQ0xXL0MmhjlDnp0HQQAAK0MLVy9DUzM6Qyo1c8EAAEpDylYvQ0j0OkOCu3BBAABYQ4hWL0MVzDtDVZ/hQQAARkNHVi9DaL48Q4QZFEEAAD1DBlYvQ7DPPUOQr0+/AAAqQ8VVL0NUBT9DoiqowQAANkODVS9D+WVAQ5FfJsEAAENDQlUvQ+H5QUOdD4M/AAAxQwFVL0OOy0NDcVyWwQAANEPAVC9D7ehFQ2dHj8EAAENDflQvQ7hlSEPytqzAAABJQz1UL0OkYEtDASkYwAAAS0P8Uy9DVw5PQ+PKgcAAAEhDu1MvQxLPU0Ma8TzBAABRQ3lTL0OKVVpDoFgVwQAAZ0M4Uy9DBORjQ+z+RkAAgIxD91IvQ7OcckM0jRlCAICPQ7ZSL0NS6IRD43qpQQAAokN1Ui9DfQ+XQzAIr0EAgMVDM1IvQ4yQskOeexdCAIDkQ/JRL0OGMtpDn9ekQQAAEUSxUS9DLOoHREJdEUIAQCtEcFEvQzanKUT7ZMxAAEBaRC5RL0OWrlBEpxYZQgAAcUTtUC9DkWd5RBZ5BsIAwIxErFAvQysIj0SwCpLBAECeRGtQL0NvmptELmSpQQBgo0QpUC9D6AKfRAmjC0IAoJhE6E8vQyI1mEQ8u1VAAACJRKdPL0P+TolEvvwdwACAdERmTy9DexdsRE2IBkIAAEZEJE8vQ5DHQ0QVHA5BAAAWRONOL0Nilx5EJHYJwgCA80OiTi9Dy6b+Q7ZsssEAALNDYU4vQ7z7zUPe3VfCAICLQx9OL0O/japD+G14wgCAhEPeTS9DUS6SQxbl2sEAAIFDnU0vQ+EggkOycBDAAAB0Q1xNL0ONpG9Dam6LQAAAYkMaTS9DB21iQ04O2r4AAGND2UwvQ2+6WUMNWRRBAAA8Q5hML0OTtlNDm7S9wQAAQ0NXTC9DRktPQ1q0RMEAAFNDFUwvQ2LcS0O2c+RAAABNQ9RLL0MzFElDXPN6QAAARkOTSy9D0sJGQ0/SQr8AAFpDUksvQ9fLRENJoalBAABIQxBLL0PYHEND/WScQAAASEPPSi9D1ahBQ2TlykAAADxDjkovQwBmQEPxv4zAAABRQ01KL0OmTD9DzpqNQQAAOEMLSi9Dm1Y+Q1/TysAAADpDykkvQ9Z+PUNitV/AAABKQ4lJL0M0wTxDwuxTQQAAN0NISS9DSxo8Q2JJo8AAADtDBkkvQ0OHO0NfQwe/AAA2Q8VIL0O9BTtDmbegwAAAOUOESC9DuZM6Q5Tcyb8AAFVDQ0gvQ4svOkOng9ZBAAAxQwFIL0PI1zlDg3wNwQAAR0PARy9DPos5QyBMV0EAADlDf0cvQ+lIOUPa0pG+AAA4Qz5HL0PvDzlDo/eHvwAAP0P8Ri9Dl984QykNxEAAAC1Du0YvQ0W3OENJdDvBAABEQ3pGL0N3ljhDjJg2QQAASUM5Ri9DxHw4Q98ZhEEAAC1D90UvQ9VpOENInTbBAAAyQ7ZFL0NkXThDgazLwAAAIUN1RS9DP1c4Q/e5usEAAFBDNEUvQ0FXOEP6Rb1BAAA3Q/JEL0NUXThD5KmuvwAAN0OxRC9DcGk4Q/23tL8AAC1DcEQvQ5t7OEOwuTfBAAA4Qy9EL0PokzhDFugTvwAAV0PtQy9DeLI4Q0Bs8kEAAElDrEMvQ3rXOEM0RIFBAABBQ2tDL0MqAzlDtJr/QAAAPkMqQy9D2DU5QwZFmUAAAFhD6EIvQ+BvOUMAgfRBAABDQ6dCL0O0sTlDx+QUQQAAS0NmQi9D2Ps5Q0MhiEEAADdDJUIvQ+hOOkP9uVPAAABLQ+RBL0OaqzpDLqOCQQAAO0OiQS9DwRI7Q6IKlr0AAFhDYUEvQ1KFO0N01eNBAAA/QyBBL0NmBDxDjuY+QAAAPUPfQC9DRpE8QxJ03T4AAD1DnUAvQ24tPUM4uTW+AABiQ1xAL0OZ2j1DnZUQQgAAOUMbQC9DyJo+Q/JYs8AAAEJD2j8vQ1RwP0Ps6iNAAAA5Q5g/L0P/XUBD8L/rwAAAVUNXPy9DBmdBQ87HnEEAAEVDFj8vQzyPQkPmMBxAAABGQ9U+L0Mt20NDuTQJQAAAKEOTPi9DRVBFQySC6sEAAFFDUj4vQwX1RkOwryBBAAA5QxE+L0NN0UhDzhR9wQAAUEPQPS9Dtu5KQzUpokAAAFVDjj0vQyZZTUM92/RAAABLQ009L0O5H1BDLvejwAAAYUMMPS9DhVZTQ6yXWkEAAFZDyzwvQx8aV0NtD42/AABpQ4k8L0PjlltDzpFWQQAAdUNIPC9DfBdhQx1En0EAAGxDBzwvQwIgaEOD/3dAAAB1Q8Y7L0MynHFDmfNYQACAmEOEOy9DdyV/QyVqR0IAgI9DQzsvQ8OuiUORJzpBAICeQwI7L0PrJJlDpGIrQQCA0kPBOi9DUMKwQ8H2hkIAANNDfzovQ3QB1EMPugDAAIATRD46L0MqSwNEraaBQgBAL0T9OS9DsMklRP9kF0IAQFdEvDkvQ5EdUkTZTaRBAMCDRHo5L0NvroNEEIsMPwAAmkQ5OS9DPkOhRL5naMIAYLlE+DgvQzkRv0QQJzbCAMDTRLc4L0OSFdlETrIqwgBg40R1OC9DY3LqRFVMYsIAoOZENDgvQ6b17kRaWoXCAEDpRPM3L0PLauVELE31QQDA10SyNy9Ds3DQRJfpaUIAgLpEcDcvQ/++tEQSIDhCAACaRC83L0N88ZZEAaHDQQDAckTuNi9DsQF1RCxsEMEAQDxErTYvQ4s6Q0RtUd/BAIAcRGs2L0NlpRpEuE3tQACA80MqNi9DhxH3Q6Zh5MAAgMxD6TUvQ0jbyUPnLalAAACrQ6g1L0OMcKpDBXSPPwCAmUNmNS9DN1CVQxD5BUEAAJRDJTUvQzFYh0PxfMpBAABnQ+Q0L0MyJ3xDlDmpwQAAdkOjNC9DFYlvQ1bdzkAAAFxDYTQvQ+COZkMA7ijBAAB/QyA0L0P00l9DYGj5QQAAVkPfMy9D1INaQ4d6kMAAAHdDnjMvQ3QpVkMvWgNCAABuQ1wzL0NqflJDrwzcQQAAWkMbMy9DyVhPQ3JzKkEAAF5D2jIvQ2GdTEP3FItBAABaQ5kyL0MiOUpD3G18QQAAfUNYMi9Dwx1IQ/SIU0IAAEVDFjIvQw5ARkMCB6C/AAA+Q9UxL0P4lkRDDN/SwAAAXUOUMS9DFhtDQ1Inz0EAAExDUzEvQz7GQUMonCNBAABOQxExL0NJk0BDastWQQAAPUPQMC9D5H0/QwN5H8AAAGdDjzAvQ2OCPkN19iFCAAA+Q04wL0OnnT1D4LHEPgAAP0MMMC9DB808Q1++DEAAAFNDyy8vQzcOPENHjrdBAABMQ4ovL0NAXztDAgaFQQAASENJLy9Da746Q1IZVEEAAEdDBy8vQzwqOkM8XE1BAAA+Q8YuL0NooTlD/NKLQAAAQ0OFLi9DzCI5Qz7THUEAADNDRC4vQ2mtOEMlrbXAAAA9QwIuL0NeQDhDM/SXQAAAPkPBLS9D5do3Q1qjxEAAAENDgC0vQ018N0MqOzhBAABBQz8tL0P6IzdDWcAdQQAALUP9LC9DYdE2Qw0WHcEAADdDvCwvQwSENkNw+Pc+AAA1Q3ssL0N0OzZD3bmdvwAAS0M6LC9DTPc1Q51FqEEAADFD+CsvQzO3NUNw5pbAAABJQ7crL0PYejVDQimcQQAAM0N2Ky9D8EE1Q+h7EMAAADNDNSsvQzkMNUMlDgPAAABCQ/MqL0N22TRDnGhSQQAAHkOyKi9Dcqk0Q45LtcEAAENDcSovQ/l7NENtQGhBAABJQzAqL0PfUDRDCHmlQQAAQEPuKS9D+ic0Q2WAPUEAAD1DrSkvQyMBNEPP7Q9BAAA6Q2wpL0M43DND83jEQAAAKkMrKS9DGrkzQ5uRG8EAACZD6SgvQ6qXM0OZelnBAAA5Q6goL0PNdzNDXgaxQAAARUNnKC9Da1kzQ6Y0jUEAADFDJigvQ208M0NUGw/AAABGQ+QnL0O+IDNDEPqWQQAALkOjJy9DSgYzQz3JoMAAACtDYicvQ//sMkPdn/3AAAA+QyEnL0PM1DJDOrMyQQAAVkPfJi9Do70yQ3UJDUIAAD1DniYvQ3SnMkO/iCVBAAAuQ10mL0MzkjJDWkaSwAAAK0McJi9D030yQ1+678AAACND2iUvQ0lqMkOUpHbBAAAuQ5klL0OLVzJDa/GKwAAAMUNYJS9DkEUyQ9vHor8AADRDFyUvQ040MkMl2eU/AAA6Q9UkL0O+IzJDT4j7QAAAPkOUJC9D2BMyQ33CPkEAACpDUyQvQ5gEMkN9SQDBAAAvQxIkL0P49TFD7309wAAAQkPQIy9D9ecxQ1bAgEEAAC9DjyMvQ5HaMUM8pDbAAABCQ04jL0PQzTFDfZGBQQAAPUMNIy9DwsExQ+DjM0EAAF5DyyIvQ4K2MUP3JTFCAAAyQ4oiL0NCrDFDnHynPgAAHkNJIi9DTaMxQ2cancEAAD9DCCIvQxCcMUP9PlZBAAA4Q8chL0MYlzFDDh3NQAAAPkOFIS9DA5UxQ9WvRkEAADdDRCEvQ2yWMUN4Mq1AAAAyQwMhL0PDmzFDannIPgAATEPCIC9DHKUxQx/X0kEAAEBDgCAvQwGyMUPr32RBAABIQz8gL0NOwTFDk/WxQQAANkP+Hy9DE9ExQ67dhUAAACtDvR8vQ5TeMUNx0tvAAAA6Q3sfL0N85jFDQZgBQQAARUM6Hy9DqOUxQ8PSmEEAAC5D+R4vQ37aMUOEn3bAAAAnQ7geL0PfxTFD710swQAAMkN2Hi9DmaoxQzXOqj4AAEZDNR4vQweMMUPHn6NBAABNQ/QdL0MRbTFDeZfcQQAAWEOzHS9D1E8xQ7HAGkIAAEhDcR0vQ6E1MUP2UrZBAABMQzAdL0MZHzFDNAfXQQAAPkPvHC9DTQwxQy47T0EAADxDrhwvQ+n8MENsMTBBAAA/Q2wcL0Nk8DBDx/lgQQAAOkMrHC9DIeYwQ/idEUEAAC9D6hsvQ4/dMENcx+6/AAAvQ6kbL0M11jBDqRrrvwAALkNnGy9Duc8wQzLuM8AAAEJDJhsvQ9nJMEM7sYlBAAA1Q+UaL0NqxDBDxXKHQAAAIUOkGi9DUb8wQxX1e8EAADpDYhovQ366MEMdWBRBAABIQyEaL0PmtTBDz1C6QQAAKEPgGS9DgrEwQygYC8EAADFDnxkvQ0+tMEO5YaU+AAA8Q10ZL0NJqTBDb2s1QQAAMUMcGS9DbqUwQxAktT4AACND2xgvQ7yhMEPDG1rBAAAvQ5oYL0MynjBDGhnPvwAAPENYGC9Dz5owQxFTNkEAADBDFxgvQ5GXMENhkRe/AAAsQ9YXL0N5lDBDGI+SwAAALEOVFy9DhJEwQ40wksAAADVDUxcvQ7SOMEOFKY5AAAA6QxIXL0MHjDBDlT8XQQAANUPRFi9DfYkwQ2vQjkAAAEFDkBYvQxaHMENTx4NBAAAxQ04WL0PRhDBDIV32PgAAMEMNFi9DsIIwQ0KwAr8AAEJDzBUvQ7KAMENu+otBAAAzQ4sVL0PYfjBDHkogQAAAE0NJFS9DIX0wQwXp68EAADpDCBUvQ457MEMiRxhBAAA2Q8cUL0MgejBDALywQAAAJUOGFC9D2HgwQ3qNN8EAACRDRBQvQ7Z3MENZe0fBAABHQwMUL0O7djBDKkq0QQAAJ0PCEy9D6HUwQ4ZeF8EAADhDgRMvQ0B1MEMMWPFAAABLQz8TL0PCdDBD8FnUQQAAPkP+Ei9DcXQwQ/G4WEEAADZDvRIvQ050MEM3drFAAAA0Q3wSL0NcdDBD+OhiQAAAM0M7Ei9DnXQwQ9rYIkAAADND+REvQxJ1MENxuyJAAAAqQ7gRL0PAdTBD+bfOwAAAMEN3ES9DqHYwQ7FQ7b4AADJDNhEvQ893MENTGMQ/AAA5Q/QQL0M5eTBDdmwIQQAAQUOzEC9D6HowQ70ohEEAAEBDchAvQ+R8MEPHMXhBAABGQzEQL0MvfzBDhgasQQAAQ0PvDy9D0YEwQ3Txk0EAACVDrg8vQ9GEMEMNTTjBAAA9Q20PL0M1iDBDs3xHQQAAL0MsDy9DBowwQ94Cxr8AADBD6g4vQ02QMEP8TBC/AAA4Q6kOL0MVlTBDW13tQAAAM0NoDi9DapowQ3ZlGUAAADtDJw4vQ1qgMENn+iVBAAAwQ+UNL0PzpjBDuvImvwAAP0OkDS9DR64wQ44bZUEAAEJDYw0vQ2u2MEOrTIpBAAAxQyINL0N0vzBDdheBPgAAMUPgDC9DfskwQ20HWj4AADRDnwwvQ6fUMENd1kpAAAAeQ14ML0MR4TBDhAiXwQAAQUMdDC9D5e4wQ9uIgEEAADFD2wsvQ1L+MEOFxNY7AAA5Q5oLL0OSDzFDzQ3+QAAAMkNZCy9D5CIxQzEcXT8AADhDGAsvQ5g4MUMM7dhAAAA8Q9YKL0MMUTFDOu8qQQAANkOVCi9DuWwxQ+VokkAAAD5DVAovQziMMUOHPEdBAAA/QxMKL0NdsDFDMvpUQQAAJUPRCS9DX9oxQ/ilTcEAAC5DkAkvQyIMMkM5hIHAAAAeQ08JL0OtSDJDaEWiwQAARUMOCS9D95QyQ0lYk0EAADdDzAgvQwT5MkN834BAAABEQ4sIL0NugTNDjfSDQQAAJkNKCC9DLkE0Q94SZMEAAFpDCQgvQ1RTNUOvshJCAABOQ8cHL0MZ3DZDNx+5QQAAOEOGBy9DYgg5Q/wwhL8AADBDRQcvQ9MKPEM2rUDBAABGQwQHL0O+FUBDR0i9QAAAV0PCBi9D1VFFQ1txjUEAADNDgQYvQ4/SS0N7lMbBAABAQ0AGL0PyiVNDkU+cwQAASUP/BS9DxT1cQybumcEAAF1DvQUvQ6B/ZUMF+gfBAABjQ3wFL0NXqG5DdIU6wQAAZUM7BS9D9th2Q63HjsEAAH5D+gQvQ5oLfUOHZXQ/AACAQ7gEL0NwI4BDFcGNvgAAiEN3BC9D7/R/Q4ZYgEEAAG9DNgQvQ40qfEPYqFLBAABkQ/UDL0NInHVDP+KMwQAAf0OzAy9DKUxtQ7qejUEAAFVDcgMvQ4o3ZEOieHPBAABLQzEDL0McLVtD4GiBwQAAZEPwAi9DZMJSQ+DsiUEAAFxDrwIvQydWS0PKToVBAAA5Q20CL0MBF0VDCnBBwQAAQEMsAi9DTgxAQ2bnRL0AADtD6wEvQ80gPENNZpC/AAA2Q6oBL0OvLTlDomtLwAAAUUNoAS9DoQQ3Q/baz0EAAC1DJwEvQ4Z3NUNleAfBAABKQ+YAL0NqXTRDsBStQQAAMkOlAC9D5pQzQ8Fyyr8AAD1DYwAvQ4cEM0OKtx9BAAAxQyIAL0MBmjJDswDNvwAAMUPh/y5DxUgyQ6xipL8AAD5DoP8uQ4oIMkNfdz9BAAAyQ17/LkP+0zFDpQYwPgAAMUMd/y5DxacxQ3bFJ78AACRD3P4uQ76BMUPkG1jBAAA5Q5v+LkOIYDFD/u7zQAAAGUNZ/i5DNkMxQ68ZwsEAAC5DGP4uQyApMUMRSErAAABFQ9f9LkPKETFDsHGfQQAAQEOW/S5D0vwwQ+YycEEAAC5DVP0uQ+jpMEMKejrAAAAxQxP9LkPM2DBDbM8cPgAALEPS/C5DR8kwQ9EomcAAAC1DkfwuQyi7MEMfym7AAAAyQ0/8LkNKrjBDGduoPwAANEMO/C5DiKIwQwheV0AAAEtDzfsuQ8WXMEPaQdNBAABAQ4z7LkPmjTBDmyF3QQAAOENK+y5D1oQwQ0Rl70AAAEVDCfsuQ4B8MEMEHKRBAAApQ8j6LkPSdDBDOZruwAAAO0OH+i5DvW0wQywkKUEAAC9DRfouQzRnMEMymrO/AAAxQwT6LkMrYTBD59QePwAAR0PD+S5Dl1swQ0ojtUEAADRDgvkuQ25WMEOUZGpAAABLQ0D5LkOoUTBDxHLVQQAAL0P/+C5DPU0wQ1yepr8AADdDvvguQyZJMEM029ZAAABAQ334LkNeRTBDGap7QQAALkM7+C5D30EwQ9h3EMAAADRD+vcuQ6Q+MEPvVnBAAAAzQ7n3LkOpOzBD1xUxQAAAP0N49y5D6DgwQ3lxbEEAADZDNvcuQ2A2MEP+M7lAAAAuQ/X2LkMMNDBDCwMNwAAAP0O09i5D6jEwQ2ThbEEAAENDc/YuQ/YvMENPgJZBAAArQzH2LkMvLjBD1sWlwAAARkPw9S5DkSwwQ3WbrkEAAEFDr/UuQxwrMEMhp4ZBAAAvQ271LkPNKTBDU+aUvwAAT0Ms9S5DoigwQ/K69kEAAD1D6/QuQ5onMENkhk1BAAAuQ6r0LkOzJjBDzKwJwAAARENp9C5D7SUwQ5rQnkEAAC9DJ/QuQ0UlMEOyopK/AABEQ+bzLkO8JDBDIdqeQQAAN0Ol8y5DTyQwQxJ220AAAEZDZPMuQ/8jMEMI4K5BAABEQyLzLkPKIzBDsOGeQQAAKUPh8i5DryMwQ+515MAAAD1DoPIuQ68jMEMSxU1BAAArQ1/yLkPIIzBD93ikwAAAQUMe8i5D+SMwQzXghkEAACpD3PEuQ0QkMENxiMTAAAAvQ5vxLkOmJDBDz1KSvwAAJkNa8S5DHyUwQ/ZRIsEAADxDGfEuQ7AlMEP5pD1BAAA6Q9fwLkNZJjBDdZodQQAAJUOW8C5DGCcwQ3xxMsEAAElDVfAuQ+4nMEOUwMZBAAA2QxTwLkPaKDBDxOS6QAAAF0PS7y5D3SkwQ+ZOycEAABxDke8uQ/YqMEOwV6HBAAA7Q1DvLkMmLDBDpT0tQQAAGUMP7y5DbC0wQ15rucEAAEFDze4uQ8guMEO+iYZBAABIQ4zuLkM7MDBDJn6+QQAAJUNL7i5DxTEwQ1AcM8EAACxDCu4uQ2UzMEOubIbAAAAiQ8jtLkMdNTBDzVFjwQAAJUOH7S5D6zYwQ7VuM8EAAFpDRu0uQ9E4MEO7HCdCAABFQwXtLkPPOjBDiymmQQAATkPD7C5D5DwwQ+AY7kEAADpDguwuQxI/MEPoDhxBAAAiQ0HsLkNYQTBDehVkwQAAMEMA7C5Dt0MwQzBth74AAC5DvusuQy9GMEO6ixHAAABEQ33rLkPBSDBD+LmdQQAALkM86y5DbUswQ0/bEsAAADFD++ouQzROMEPQyzE/AAA3Q7nqLkMWUTBDNN3VQAAAOEN46i5DFFQwQ3Z99UAAADlDN+ouQy9XMEMWjQpBAABIQ/bpLkNmWjBD0Cy9QQAAL0O06S5Du10wQ3Pdrr8AAD5Dc+kuQy5hMEMd7VlBAABDQzLpLkPBZDBD/NmUQQAAQEPx6C5Dc2gwQ9R4eUEAACtDr+guQ0ZsMEOziK3AAABCQ27oLkM6cDBDMX6MQQAAPkMt6C5DUXQwQ/a6WEEAACVD7OcuQ4t4MEOriDfBAABAQ6rnLkPpfDBDcDF4QQAAIENp5y5DbYEwQ2YLhMEAAEBDKOcuQxeGMEOUnndBAAA1Q+fmLkPoijBD86KOQAAAUEOl5i5D448wQ+qA+0EAADNDZOYuQweVMEM7vhpAAAAsQyPmLkNXmjBD1kqTwAAAN0Pi5S5D058wQ6MFzEAAADtDoOUuQ32lMEMtqCVBAAA5Q1/lLkNXqzBDj0oFQQAANkMe5S5DYrEwQ77TqUAAADhD3eQuQ6C3MEMGDOlAAAAjQ5vkLkMSvjBDIeFbwQAASUNa5C5Du8QwQyvawUEAAD1DGeQuQ5vLMENJRkNBAABMQ9jjLkO20jBDTWrZQQAAMkOW4y5DDtowQzL5kj8AADJDVeMuQ6PhMENZLo8/AABBQxTjLkN66TBDMrSAQQAAV0PT4i5Dk/EwQ7M5GEIAAEtDkuIuQ/P5MENqMNBBAABYQ1DiLkOaAjFDl/UbQgAAJUMP4i5DjQsxQ9O4QMEAAERDzuEuQ84UMUOPWZdBAAAyQ43hLkNgHjFDv59hPwAAKkNL4S5DRygxQ9oI5cAAAC1DCuEuQ4UyMUOnUIbAAAA8Q8ngLkMfPTFDDi4sQQAAMEOI4C5DGEgxQx8MpL8AADpDRuAuQ3VTMUO2yApBAAA9QwXgLkM5XzFDdww6QQAAJkPE3y5DaGsxQ4a2NsEAADFDg98uQwl4MUO6EfC+AAApQ0HfLkMfhTFD71EIwQAAK0MA3y5DsJIxQ/xV0sAAAEJDv94uQ8GgMUP2+YJBAAA7Q37eLkNZrzFDcwoVQQAAIkM83i5Dfb4xQ87ne8EAACBD+90uQzTOMUOgcY7BAAA3Q7rdLkOF3jFDXi+kQAAAFkN53S5DeO8xQ71738EAADRDN90uQxMBMkNUdv8/AABCQ/bcLkNhEzJD9cl+QQAAOUO13C5DaCYyQ/Qy20AAAB5DdNwuQzQ6MkOf0aHBAABBQzLcLkPNTjJDLBNrQQAAJUPx2y5DP2QyQ/FDVsEAADJDsNsuQ5V6MkNdKfW+AAA3Q2/bLkPakTJDucSNQAAANEMt2y5DHaoyQ7jxqj8AADBD7NouQ2rDMkNi2jDAAAA3Q6vaLkPQ3TJDBEaEQAAAPUNq2i5DX/kyQwtqIEEAADRDKNouQykWM0Mr12k/AAAgQ+fZLkM+NDND9KGZwQAASkOm2S5DtFMzQ2NitUEAAElDZdkuQ510M0MWW6xBAAAtQyPZLkMSlzNDMuLSwAAAMEPi2C5DKbszQzbKbsAAAENDodguQ/3gM0Mw8HFBAABFQ2DYLkOqCDRDsLqHQQAAOkMe2C5DTjI0Qzq2uUAAADdD3dcuQwpeNEN7fShAAAAvQ5zXLkMBjDRDIYCxwAAAMkNb1y5DWbw0Q1EWL8AAAD5DGdcuQzzvNEM7DBFBAAAuQ9jWLkPXJDVD5JrkwAAAI0OX1i5DW101Q9bqksEAAD5DVtYuQ/yYNUM5cAZBAAApQxTWLkP21zVDZX9NwQAARkPT1S5DiBo2Q4NXfkEAAEdDktUuQ/ZgNkNO+IRBAAA4Q1HVLkOOqzZDPDmqPwAAWEMP1S5Dofo2Q3wVBEIAADdDztQuQ4xON0MLGJ2+AABIQ43ULkOzpzdDZcKCQQAAOkNM1C5DhgY4Qxu9/D8AADFDCtQuQ35rOEO+b+3AAAA6Q8nTLkMj1zhDZW6UPwAAQUOI0y5DDEo5Q4a+9kAAAEhDR9MuQ9/EOUMXsmNBAAA0QwbTLkNVSDpDoQrJwAAAMkPE0i5DPtU6Q+NTDcEAAEZDg9IuQ4JsO0PnNylBAABsQ0LSLkMiDzxDd8M/QgAAS0MB0i5DRL48Q8YbZEEAAE9Dv9EuQy57PUORJoxBAAA+Q37RLkNURz5DG6iOvgAAK0M90S5DXCQ/Q94iocEAAEtD/NAuQycUQEOVvS5BAABLQ7rQLkPhGEFD8nEeQQAARkN50C5DFDVCQ/u6ckAAAEhDONAuQ8drQ0Mgh5JAAAA7Q/fPLkOuwERD3wocwQAAVkO1zy5DejhGQ2V4fEEAAEZDdM8uQ1fZR0Nnq+y/AABcQzPPLkO3q0lDR6KSQQAAREPyzi5Di7tLQ1px98AAAG9DsM4uQxYaTkOqlwNCAABUQ2/OLkOU4FBD+tpHQAAAW0Muzi5D4zNUQ5aD2UAAAHhD7c0uQ0lJWEO1tf1BAABcQ6vNLkNbbF1DRi22vwAAcUNqzS5DsgVkQ+OkT0EAAHVDKc0uQ9ahbEOm4gVBAICGQ+jMLkMv93dDhkaoQQAAk0OmzC5DwXSDQ/Wz+EEAgKFDZcwuQ3dEjUNG3CFCAACXQyTMLkNABZpD90/BwAAAnEPjyy5DM1yqQy/D5cEAgLlDocsuQ3rsvkNOjy3BAADSQ2DLLkNRRthDK8pIwQAAAUQfyy5Dd9L2Q43YskEAABVE3souQ+xdDUSGQvRBAAAhRJzKLkPY7CFERthswADAMURbyi5DRs44RMPI4cEAQFBEGsouQ+N/UURi8Z/AAMBfRNnJLkMhQGtEFwI4wgCAfESXyS5DIIaCRALECMIAQIREVskuQ+/QjkTrDqnCAOCTRBXJLkP+w5lEsX88wgDAn0TUyC5D4pOiRIv4tMEAQKJEksguQ01/qESk6UfCAGCxRFHILkNE9KpEd3dNQgCgrEQQyC5Dt7WpRDGSukEAYKJEz8cuQ6vtpES/aqPBAGCrRI3HLkNKIJ1EZPvjQgAgn0RMxy5D5weTRJeBwUIAYI1EC8cuQ71th0RWSD5CAAB4RMrGLkPmG3ZE9wzyQACAZUSIxi5D4BJdRPvRBkIAAFBER8YuQ3HCRET22DNCAMAjRAbGLkPV7C1EWM0iwgBAHUTFxS5DXRgZRF/0hEEAgAJEg8UuQyWVBkShpILBAADsQ0LFLkOrCO1DWlUEwACAzEMBxS5DMMHRQwMmKMEAgLlDwMQuQ6IOu0PtUEfAAICiQ37ELkO8g6hDkHdAwQAAmUM9xC5DTZyZQ29NnL8AAIdD/MMuQ73LjUOtd1nBAABuQ7vDLkNaiIRDmoXYwQAAZ0N5wy5DXKZ6Q98yncEAAGhDOMMuQ1x5b0ONK+/AAABfQ/fCLkNtzWZDrK35wAAAXUO2wi5DFQlgQ0dFQsAAAHRDdcIuQ/iyWkNAaMpBAABkQzPCLkOnbVZDiiVZQQAAVEPywS5D3PJSQyWShj8AAGJDscEuQ8AOUEMEio9BAABFQ3DBLkOxm01DD7sJwQAATEMuwS5Dq35LQ5hUAT8AAD1D7cAuQ2akSUNjRkrBAABJQ6zALkMc/0dDGXKAPwAAYkNrwC5D5IRGQ+HY20EAAFJDKcAuQ4IuRUPaF01BAABVQ+i/LkOS9kNDcEuIQQAASkOnvy5D8dhCQ9Xh5EAAAE5DZr8uQ2DSQUMG2kJBAAA9QyS/LkM74EBDqg54wAAAVUPjvi5DUwBAQ2f9p0EAAEFDor4uQ88wP0NLmOc/AABOQ2G+LkMYcD5Dh/54QQAATEMfvi5DyLw9Q3wzZEEAADxD3r0uQ6kVPUOI1Iq/AABdQ529LkOleTxDaxkCQgAAS0NcvS5Dx+c7Q5aDcUEAAEBDGr0uQzFfO0PWGZRAAABFQ9m8LkMg3zpD/g0iQQAAO0OYvC5D4mY6QxceGT8AAE5DV7wuQ9f1OUNHUaBBAABFQxW8LkNwizlDB0k3QQAANkPUuy5DKSc5Q0HKScAAADpDk7suQ43IOENduZs/AABkQ1K7LkMxbzhDPEMuQgAASUMQuy5Dsxo4Q2oqh0EAADBDz7ouQ7rKN0MyV/nAAABBQ466LkP0fjdDvRAYQQAASENNui5DGTc3QzxHhkEAAD1DC7ouQ+PyNkOro8FAAABGQ8q5LkMUsjZDu950QQAAPEOJuS5DdHQ2Q3dxsUAAAClDSLkuQ845NkPhnFPBAAA3Qwa5LkPxATZDyQ5+PwAARkPFuC5Dscw1Q3eagUEAABxDhLguQ+WZNUMlz8zBAAAsQ0O4LkNmaTVDW5YWwQAAPkMBuC5DETs1Q+9ODEEAACZDwLcuQ8YONUNi7HDBAAAjQ3+3LkNn5DRDNSOPwQAAOEM+ty5D1rs0Q2AKUUAAADZD/LYuQ/yUNEM0grU/AAAtQ7u2LkO+bzRDtfftwAAANkN6ti5DBkw0Q/r82T8AADdDObYuQ8ApNEMUkDVAAAA6Q/e1LkPXCDRDI+W+QAAAQ0O2tS5DOekzQ2tscUEAAExDdbUuQ9bKM0NSqcFBAAAzQzS1LkOcrTNDMZwtvwAAQEPytC5DfZEzQyjoRkEAAFVDsbQuQ2x2M0NSJgZCAAA7Q3C0LkNZXDND2HT0QAAAQkMvtC5DOkMzQ2DMa0EAADlD7bMuQwIrM0O2n7pAAAA3Q6yzLkOnEzNDPBZ7QAAAQENrsy5DHv0yQyAuUEEAAElDKrMuQ13nMkMVxbBBAABTQ+myLkNc0jJDj7YAQgAAI0Onsi5DEr4yQxnhe8EAAEpDZrIuQ3WqMkNUrLpBAABFQyWyLkOAlzJD/kOTQQAAN0PksS5DK4UyQ61aj0AAADFDorEuQ25zMkPVtrm/AAA8Q2GxLkNDYjJD0dsZQQAAHkMgsS5DpFEyQyONosEAADhD37AuQ4xBMkOBzrdAAAAiQ52wLkP0MTJDo4+BwQAAKUNcsC5D2CIyQ4QtEsEAACtDG7AuQzMUMkNXhuLAAAA8Q9qvLkP/BTJDD6AfQQAAJ0OYry5DOfgxQ42DL8EAADZDV68uQ9zqMUOJpIJAAABFQxavLkPk3TFD4hCZQQAAM0PVri5DTdExQ2pZlz8AACxDk64uQxTFMUOHorjAAAAjQ1KuLkM1uTFDWJNrwQAALEMRri5Drq0xQ7W1tcAAADJD0K0uQ3qiMUO7DLs+AAAzQ46tLkOWlzFDzTS0PwAAK0NNrS5DAY0xQySg0cAAAD1DDK0uQ7eCMUOO1DdBAAA+Q8usLkO2eDFDo3RIQQAAOUOJrC5D+24xQ6kg8kAAAClDSKwuQ4RlMUM6WAbBAAAlQwesLkNOXDFD5MRFwQAAOUPGqy5DWVMxQ+2U9UAAAB5DhKsuQ6FKMUMGVZrBAAA+Q0OrLkMlQjFDsd1LQQAAJUMCqy5D5DkxQzqeQ8EAAC1DwaouQ9sxMUNsO4bAAABOQ3+qLkMLKjFDqK/mQQAAKkM+qi5DciIxQzVO5MAAAEFD/akuQw8bMUMXT35BAAAnQ7ypLkPiEzFDGD4hwQAANkN6qS5D6gwxQ7NinkAAAD9DOakuQyoGMUNnnV9BAAAvQ/ioLkOg/zBDzc//vwAAOEO3qC5DTfkwQ1HW4EAAACNDdaguQzTzMENFM1/BAAAuQzSoLkNV7TBDU1U7wAAAMEPzpy5DsucwQ6mxZ78AACNDsqcuQ0riMEOmJF7BAAAuQ3CnLkMg3TBDAkg3wAAAG0Mvpy5DM9gwQ5XBrsEAABlD7qYuQ4HTMEMJnL7BAAA+Q62mLkMKzzBDZQ9TQQAAPkNrpi5DycowQ2xTU0EAAClDKqYuQ7vGMENs1/jAAAA9Q+mlLkPawjBDW9JDQQAAMUOopS5DH78wQ2LCgT4AACdDZqUuQ4C7MEMFuBvBAAAjQyWlLkP1tzBDTX9bwQAAREPkpC5DcbQwQ3VcmkEAAC9Do6QuQ+qwMEMMddi/AAASQ2GkLkNTrTBDmmr1wQAAKkMgpC5DoqkwQ0I01cAAADND36MuQ86lMENrjBZAAAA2Q56jLkPToTBDkcWrQAAAL0Ncoy5Dsp0wQ8PYzr8AACtDG6MuQ22ZMEObLbPAAABJQ9qiLkMNlTBDllfDQQAANUOZoi5DnZAwQ2rsjUAAABhDWKIuQyaMMEMtYcTBAABCQxaiLkOyhzBDbcKLQQAAIEPVoS5DTIMwQ2EahMEAADNDlKEuQ/t+MENFQSBAAAA1Q1OhLkPFejBDWKeQQAAAL0MRoS5DsHYwQzBYu78AADJD0KAuQ8ByMEPpn8Y/AAA6Q4+gLkP3bjBDihAZQQAAQ0NOoC5DWGswQ0SllEEAACZDDKAuQ+FnMEMVfibBAAA4Q8ufLkOUZDBDcW3zQAAAV0OKny5DcGEwQ0B6GkIAADdDSZ8uQ3NeMEOkMdRAAAA4QwefLkObWzBDoIz0QAAALkPGni5D51gwQ6M5FsAAAC9DhZ4uQ1NWMEO1Kau/AAArQ0SeLkPgUzBD8nuqwAAAJkMCni5DiVEwQ5EYJcEAADxDwZ0uQ05PMEMgCztBAAAlQ4CdLkMtTTBDzNI0wQAAOEM/nS5DJEswQ4eb9kAAADVD/ZwuQzJJMEPC2ZZAAAAuQ7ycLkNWRzBDgtURwAAAMkN7nC5Dj0UwQ2k43T8AAD9DOpwuQ91DMEM2wmtBAAA1Q/ibLkM+QjBDRriXQAAALkO3my5DskAwQ44sEMAAADRDdpsuQzk/MEOjMXBAAAAxQzWbLkPTPTBDxSxCPwAAJEPzmi5DfzwwQ/XHQ8EAAEtDspouQz47MEMTJtZBAAAyQ3GaLkMOOjBDDvniPwAAIkMwmi5D8DgwQwOPY8EAAEBD7pkuQ+Q3MEO6gXxBAAAkQ62ZLkPrNjBDqW5DwQAAF0NsmS5DAzYwQxWwycEAACpDK5kuQy01MEOapcbAAAAmQ+mYLkNpNDBDkEYjwQAAQkOomC5DtzMwQ0ZijkEAAChDZ5guQxgzMEN+MQPBAAAtQyaYLkOLMjBDtqJMwAAAL0Pkly5DEDIwQygImb8AAEFDo5cuQ6gxMEO8coZBAAAxQ2KXLkNTMTBDj6xOPwAAOUMhly5DETEwQ+juDEEAADJD35YuQ+MwMEOgjuc/AAAyQ56WLkPIMDBDPZznPwAAM0Ndli5DwDAwQ/7PM0AAADRDHJYuQ80wMEPdzHNAAAApQ9qVLkPtMDBDqx3mwAAAMUOZlS5DIzEwQzfdTj8AAB9DWJUuQ20xMENpi4nBAAAnQxeVLkPNMTBDzRwTwQAANEPVlC5DQjIwQ3Nvc0AAAB5DlJQuQ84yMENtlpHBAAAtQ1OULkNwMzBD6NtMwAAALEMSlC5DKTQwQxOFhsAAACND0JMuQ/k0MEOQT1PBAAAoQ4+TLkPhNTBDFl4DwQAAJkNOky5D4jYwQyRuI8EAADNDDZMuQ/w3MEPxADJAAAAfQ8ySLkMwOTBDf8mJwQAALUOKki5DfjowQ3qfTsAAACpDSZIuQ+c7MEPdfMfAAAAXQwiSLkNsPTBDXevJwQAALkPHkS5DDT8wQzbDD8AAADZDhZEuQ8tAMEOX5rdAAAA2Q0SRLkOoQjBDBau3QAAALEMDkS5Do0QwQ2yUiMAAAB1DwpAuQ79GMEP2NZrBAAAcQ4CQLkP7SDBD2UeiwQAAKEM/kC5DWUswQ5W1BMEAAEJD/o8uQ9tNMEMskY1BAAAxQ72PLkOAUDBDEYAvPwAAKkN7jy5DS1MwQ1VpysAAAClDOo8uQzxWMEOBx+rAAAAtQ/mOLkNVWTBDV1VWwAAAIUO4ji5DmFwwQ4HJdcEAAClDdo4uQwZgMEO3AOzAAAAnQzWOLkOgYzBD/TkWwQAAQkP0jS5DaGcwQ8DEjEEAABZDs40uQ2BrMEMBW9PBAAAfQ3GNLkOKbzBDT3yLwQAANUMwjS5D53MwQxGDkUAAADRD74wuQ3t4MENO4WFAAABBQ66MLkNGfTBDzxWEQQAAQENsjC5DTIIwQ0Xbd0EAABhDK4wuQ46HMENwPMTBAAAfQ+qLLkMQjTBDfWiMwQAAE0Opiy5D05IwQ5uW7MEAAD5DZ4suQ9yYMEM+clZBAAAnQyaLLkMtnzBDz/IZwQAAQUPlii5DyaUwQ7fRgkEAAB9DpIouQ7SsMEOhZY3BAABDQ2KKLkPyszBDc2CSQQAALEMhii5DhbswQ7Bwl8AAABRD4IkuQ3TDMEOgG+bBAAAuQ5+JLkPCyzBDYvAywAAAQkNdiS5Dc9QwQ2pciUEAAB9DHIkuQ43dMENm7I7BAAA+Q9uILkMV5zBDs45RQQAANUOaiC5DEfEwQ+3dgUAAAB9DWIguQ4b7MEMy3I/BAAAoQxeILkN8BjFDwmcQwQAAL0PWhy5D+RExQ1R+BMAAADhDlYcuQwUeMUNdP9xAAABIQ1OHLkOnKjFDxaq2QQAAIUMShy5D6TcxQ0a/gcEAACJD0YYuQ9JFMUMkXXTBAAAYQ5CGLkNuVDFDbKPKwQAAMUNOhi5DxWMxQ1OKx74AAC1DDYYuQ+RzMUOKfI7AAAA4Q8yFLkPXhDFDHmXPQAAAKUOLhS5DqpYxQ6dqCcEAACNDSYUuQ22pMUPJlmrBAAAxQwiFLkMtvTFDhyw9vwAAK0PHhC5D+9ExQ1w/2sAAADRDhoQuQ+rnMUOcBQZAAABJQ0SELkMM/zFDnwe4QQAATkMDhC5DeBcyQz9E30EAADVDwoMuQ0YxMkOdrjNAAAAqQ4GDLkOPTDJD8MgEwQAAMUNAgy5Dc2kyQ2C5tL8AAERD/oIuQxOIMkNkv4tBAABJQ72CLkOaqDJDM7uyQQAAIUN8gi5DNcsyQ6hZjsEAADNDO4IuQx/wMkP6DX49AAA5Q/mBLkOeFzNDMAy9QAAAJ0O4gS5DCkIzQ6QgRMEAACJDd4EuQ9BvM0N9fovBAAAyQzaBLkN5oTNDRbzQvwAAS0P0gC5DtNczQ2JCuUEAAEFDs4AuQ18TNEMOyk5BAAAkQ3KALkOUVTRDoayCwQAAP0MxgC5Dtp80Q6AEJkEAAC1D738uQ4PzNENXcP7AAAAlQ65/LkMmUzVDLpmCwQAAMkNtfy5DTME1QwlTcMAAAERDLH8uQztBNkNW7FtBAAA8Q+p+LkPi1jZDsiOlQAAAN0Opfi5D9oY3Q1n2Br8AADxDaH4uQ/xWOEP+QGpAAAAmQyd+LkNZTTlDy2qawQAAPUPlfS5DW3E6Q0epI0AAAC9DpH0uQzLLO0Mds0zBAAAtQ2N9LkPnYz1DNR+DwQAASUMifS5DP0U/QxesG0EAADFD4HwuQ5N5QUObzIPBAABKQ598LkOaC0RDuYy+QAAAKUNefC5DGwZHQ9kw8MEAAEZDHXwuQ5lzSkMnc47AAAA/Q9t7LkPsXU5DxN51wQAAT0Oaey5D0M1SQwl0c8AAAGJDWXsuQ2zKV0M9WSNBAAA4Qxh7LkPYWF1DXmMVwgAAWkPWei5DoHtjQwi6F8EAAFdDlXouQ1oyakPPkpnBAABvQ1R6LkM3eXFDrE0ewAAAkkMTei5DtUh5QyvdKkIAAHtD0XkuQ7DKgEPvq9LAAAB/Q5B5LkPQJ4VDDvo0wQAAdENPeS5D2bGJQ5Ud+8EAgIFDDnkuQ85cjkPnzM3BAACCQ8x4LkOmGpNDMNUIwgAAk0OLeC5DXNuXQ41rG8EAgJdDSnguQxONnENmoiHBAACNQwl4LkM/HKFD9+EgwgAAnEPHdy5D63OlQ7g+l8EAgJ5DhncuQyN+qUMx4q/BAACrQ0V3LkOEJK1D/iCJwAAAqUMEdy5DElGwQ04iasEAgK9DwnYuQ0jvskMH0tvAAICzQ4F2LkNU7bRDDKo2wAAAxUNAdi5DaT22Q2kp7EEAAJ5D/3UuQ+jWtkNDt0bCAIC9Q711LkMot7ZD8BpZQQCAs0N8dS5Dt+G1Q7FtmMAAAMpDO3UuQ/dftENJAC1CAIC+Q/p0LkM8QLJDSPzDQQCAs0O4dC5DhJSvQwbf+kAAALZDd3QuQxxxrENA7phBAICtQzZ0LkNS66hDz5USQQAApEP1cy5DYhilQw8xDMAAAKxDs3MuQ7AMoUMBNa9BAACgQ3JzLkM625xDgzHJQACApkMxcy5DTJWYQz+r3kEAgJ9D8HIuQ1hKlEN9WrNBAICQQ69yLkPqB5BDDCtwPwAAjkNtci5Dr9mLQ1eUiUAAgI1DLHIuQ3/Jh0MX0DZBAICYQ+txLkN734NDJgQlQgCAjEOqcS5DHyKAQwzexUEAAHRDaHEuQ8MseUNhmKXAAAB9QydxLkOif3JD3AUoQQAAdUPmcC5DbUFsQzjpC0EAAFJDpXAuQ2l0ZkNMo6PBAABJQ2NwLkPfGGFD9MbAwQAAYkMicC5DVy1cQy1VukAAAE5D4W8uQ+muV0ON7hrBAABaQ6BvLkN+mVNDT9DMQAAASUNeby5DEOhPQ/4B3cAAAGJDHW8uQ+uUTEOqWKtBAABJQ9xuLkPgmUlD8t8ZvwAAUkObbi5DevBGQ2H4MEEAAE9DWW4uQyeSREOS3SZBAAAwQxhuLkNdeEJD5cKTwQAALEPXbS5Dt5xAQ7jlpMEAAC1Dlm0uQxD5PkN9yI/BAABDQ1RtLkOQhz1DCQ6vQAAAKEMTbS5DvUI8Q+oVosEAADFD0mwuQ4MlO0MxWCLBAAA6Q5FsLkM2KzpDttcsvgAAKkNPbC5DlU85Q1D5dMEAAD5DDmwuQ8mOOEPjJq5AAAAvQ81rLkNg5TdDAlYOwQAAP0OMay5DSlA3Q8H29UAAACRDSmsuQ9DMNkODZpbBAAA9QwlrLkORWDZD2u3UQAAAMEPIai5Dd/E1Q+AuvsAAAC9Dh2ouQ7KVNUM6ttLAAAAiQ0VqLkOwQzVDfx2awQAAOEMEai5DF/o0Q1B6QUAAACNDw2kuQ723NEPovY3BAAAzQ4JpLkOkezRDEdK9vwAAQkNAaS5D80Q0Q9awW0EAACVD/2guQ+8SNEP3LnHBAAA0Q75oLkP95DNDpBXYPQAALkN9aC5Dl7ozQ9dSt8AAADRDO2guQ0qTM0MLa9k+AAAzQ/pnLkO5bjNDPnHdvgAAPUO5Zy5DkEwzQwQ3G0EAADlDeGcuQ4ssM0OpbrpAAAAXQzZnLkNvDjNDdnPgwQAAMEP1Zi5DCvIyQ3KCPMAAACVDtGYuQzHXMkMPc13BAAAjQ3NmLkPAvTJD+Nt7wQAAOEMxZi5DlqUyQ0dNq0AAAB1D8GUuQ5iOMkPDdKzBAAAmQ69lLkOveDJD9YpHwQAAIENuZS5DxmMyQy8ek8EAADdDLGUuQ8pPMkPNBpZAAAAnQ+tkLkOqPDJDpMozwQAANEOqZC5DWSoyQ1fT6j8AADdDaWQuQ8oYMkPE5pxAAAAjQydkLkPwBzJDA39wwQAAMkPmYy5DwvcxQ1/kAz0AADNDpWMuQzXoMUOW5Ys/AAAhQ2RjLkNB2TFDBsqGwQAAKEMjYy5D3coxQ9StHMEAAC1D4WIuQwO9MUNhoJfAAABKQ6BiLkOrrzFDp4LCQQAAEUNfYi5Dz6IxQz2LAsIAACJDHmIuQ2mWMUOSZnnBAAA0Q9xhLkNzijFDI2MdQAAAOkObYS5D6X4xQ3ARCEEAACZDWmEuQ8VzMUNNPDfBAAAxQxlhLkMCaTFDpwTSvgAAQkPXYC5DnV4xQxYLhUEAADFDlmAuQ5JUMUMUI6m+AAAyQ1VgLkPbSjFDrCQ1PwAAPkMUYC5Dd0ExQ5DoS0EAACBD0l8uQ2E4MUMKw4nBAAAtQ5FfLkOXLzFD1PKFwAAAP0NQXy5DFCcxQ7yOXUEAACFDD18uQ9ceMUO59oDBAAA1Q81eLkPdFjFD1Uh6QAAAGEOMXi5DIg8xQxF5yMEAAENDS14uQ6UHMUPYwo9BAAArQwpeLkNjADFDYAzAwAAAPEPIXS5DWvkwQ2FqMEEAACRDh10uQ4jyMEN5KE/BAAA5Q0ZdLkPq6zBDYEEBQQAALUMFXS5Df+UwQ9BfecAAACJDw1wuQ0XfMENX9G3BAAAmQ4JcLkM72TBDr5MtwQAASUNBXC5DXtMwQxBlwUEAAC1DAFwuQ63NMENAa3PAAAAsQ75bLkMnyDBD0ASZwAAANUN9Wy5DycIwQ96mh0AAAB9DPFsuQ5O9MEOa7I3BAAA5Q/taLkOEuDBDxHcEQQAAKkO5Wi5DmbMwQyxz1sAAAEhDeFouQ9OuMENpibpBAABEQzdaLkMvqjBDiK6aQQAAMEP2WS5DraUwQ9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\"}, 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0)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 51.47\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (2 1 0)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 56.73\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (2 1 1)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 66.40\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (2 2 0)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 70.96\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (2 2 1)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 70.96\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (3 0 0)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 75.39\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (3 1 0)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 79.72\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (3 1 1)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 84.00\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (2 2 2)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 88.24\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (3 2 0)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 92.46\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (3 2 1)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 100.96\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (4 0 0)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 105.29\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (3 2 2)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 105.29\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (4 1 0)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 109.71\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (3 3 0)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 109.71\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (4 1 1)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 114.24\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (3 3 1)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 118.94\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (4 2 0)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 123.86\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (4 2 1)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 129.07\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (3 3 2)\\u003c/span>\\u00a0\\u003cextra>\\u003c/extra>\", \"\\u00a0lbco\\u00a0\\u003cbr>\\u00a0x: 140.91\\u00a0\\u003cbr>\\u00a0\\u003cspan style=\\\"color:rgb(255,127,14)\\\">Miller indices: (4 2 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   ],
   "source": [
    "# Plot measured vs. calculated diffraction patterns\n",
    "project.display.pattern(expt_name='hrpt')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25",
   "metadata": {},
   "source": [
    "## 💾 Save Project"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "26",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-04T16:13:48.065554Z",
     "iopub.status.busy": "2026-06-04T16:13:48.065363Z",
     "iopub.status.idle": "2026-06-04T16:13:48.976424Z",
     "shell.execute_reply": "2026-06-04T16:13:48.975662Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;36mSaving project 📦 \u001b[0m\u001b[32m'lbco_hrpt'\u001b[0m\u001b[1;36m to \u001b[0m\u001b[32m'../../../projects/ed_1_lbco_hrpt'\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "├── 📄 project.cif\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "├── 📁 structures/\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "│   └── 📄 lbco.cif\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "├── 📁 experiments/\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "│   └── 📄 hrpt.cif\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "├── 📁 analysis/\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "│   └── 📄 analysis.cif\n"
     ]
    },
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    {
     "name": "stdout",
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     "text": [
      "└── 📁 reports/\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    └── 📄 lbco_hrpt.html\n"
     ]
    }
   ],
   "source": [
    "project.save_as(dir_path='projects/ed_1_lbco_hrpt')"
   ]
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