diff --git "a/CVEReview.ipynb" "b/CVEReview.ipynb"
new file mode 100644--- /dev/null
+++ "b/CVEReview.ipynb"
@@ -0,0 +1,1342 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "8eb6731a",
+   "metadata": {},
+   "source": [
+    "# CVE Data\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "91b44dc2",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:05:52.102576Z",
+     "iopub.status.busy": "2024-06-05T08:05:52.102178Z",
+     "iopub.status.idle": "2024-06-05T08:05:54.213605Z",
+     "shell.execute_reply": "2024-06-05T08:05:54.213024Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<script>\n",
+       "    if (document.body.dataset.jpThemeLight == \"false\" || // Jupyter Lab\n",
+       "        document.body.dataset.vscodeThemeKind == \"vscode-dark\" || // VS Code\n",
+       "        document.documentElement.dataset.theme == \"dark\" || // Jupyter Book\n",
+       "        window.matchMedia('(prefers-color-scheme: dark)').matches) {\n",
+       "        document.documentElement.classList.add('dark');\n",
+       "    }\n",
+       "    else {\n",
+       "        document.documentElement.classList.remove('dark');\n",
+       "    }\n",
+       "</script>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from IPython.core.magic import register_cell_magic\n",
+    "from IPython.display import Markdown\n",
+    "import datetime\n",
+    "from datetime import date\n",
+    "import glob\n",
+    "import json\n",
+    "import logging\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import warnings\n",
+    "from itables import init_notebook_mode, show\n",
+    "import itables.options as opt\n",
+    "\n",
+    "opt.dom = \"tpir\"\n",
+    "opt.style = \"table-layout:auto;width:auto\"\n",
+    "init_notebook_mode(all_interactive=True, connected=True)\n",
+    "\n",
+    "@register_cell_magic\n",
+    "def markdown(line, cell):\n",
+    "    return Markdown(cell.format(**globals()))\n",
+    "\n",
+    "\n",
+    "logging.getLogger('matplotlib.font_manager').disabled = True\n",
+    "warnings.filterwarnings(\"ignore\")\n",
+    "pd.set_option('display.width', 500)\n",
+    "pd.set_option('display.max_rows', 50)\n",
+    "pd.set_option('display.max_columns', 10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "98bafc2f-2e20-4032-a091-ec2dc0ecb7a5",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:05:54.215943Z",
+     "iopub.status.busy": "2024-06-05T08:05:54.215636Z",
+     "iopub.status.idle": "2024-06-05T08:06:12.821019Z",
+     "shell.execute_reply": "2024-06-05T08:06:12.820473Z"
+    },
+    "tags": [
+     "remove-cell"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "row_accumulator = []\n",
+    "for filename in glob.glob('nvd.jsonl'):\n",
+    "    with open(filename, 'r', encoding='utf-8') as f:\n",
+    "        nvd_data = json.load(f)\n",
+    "        for entry in nvd_data:\n",
+    "            cve = entry['cve']['id']\n",
+    "            try:\n",
+    "                assigner = entry['cve']['sourceIdentifier']\n",
+    "            except KeyError:\n",
+    "                assigner = 'Missing_Data'\n",
+    "            try:\n",
+    "                published_date = entry['cve']['published']\n",
+    "            except KeyError:\n",
+    "                published_date = 'Missing_Data'\n",
+    "            try:\n",
+    "                attack_vector = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['attackVector']\n",
+    "            except KeyError:\n",
+    "                attack_vector = 'Missing_Data'\n",
+    "            try:\n",
+    "                attack_complexity = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['attackComplexity']\n",
+    "            except KeyError:\n",
+    "                attack_complexity = 'Missing_Data'\n",
+    "            try:\n",
+    "                privileges_required = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['privilegesRequired']\n",
+    "            except KeyError:\n",
+    "                privileges_required = 'Missing_Data'\n",
+    "            try:\n",
+    "                user_interaction = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['userInteraction']\n",
+    "            except KeyError:\n",
+    "                user_interaction = 'Missing_Data'\n",
+    "            try:\n",
+    "                scope = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['scope']\n",
+    "            except KeyError:\n",
+    "                scope = 'Missing_Data'\n",
+    "            try:\n",
+    "                confidentiality_impact = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['confidentialityImpact']\n",
+    "            except KeyError:\n",
+    "                confidentiality_impact = 'Missing_Data'\n",
+    "            try:\n",
+    "                integrity_impact = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['integrityImpact']\n",
+    "            except KeyError:\n",
+    "                integrity_impact = 'Missing_Data'\n",
+    "            try:\n",
+    "                availability_impact = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['availabilityImpact']\n",
+    "            except KeyError:\n",
+    "                availability_impact = 'Missing_Data'\n",
+    "            try:\n",
+    "                base_score = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['baseScore']\n",
+    "            except KeyError:\n",
+    "                base_score = '0.0'\n",
+    "            try:\n",
+    "                base_severity = entry['cve']['metrics']['cvssMetricV31'][0]['cvssData']['baseSeverity']\n",
+    "            except KeyError:\n",
+    "                base_severity = 'Missing_Data'\n",
+    "            try:\n",
+    "                exploitability_score = entry['cve']['metrics']['cvssMetricV31'][0]['exploitabilityScore']\n",
+    "            except KeyError:\n",
+    "                exploitability_score = 'Missing_Data'\n",
+    "            try:\n",
+    "                impact_score = entry['cve']['metrics']['cvssMetricV31'][0]['impactScore']\n",
+    "            except KeyError:\n",
+    "                impact_score = 'Missing_Data'\n",
+    "            try:\n",
+    "                cwe = entry['cve']['weaknesses'][0]['description'][0]['value']\n",
+    "            except KeyError:\n",
+    "                cwe = 'Missing_Data'\n",
+    "            try:\n",
+    "                description = entry['cve']['descriptions'][0]['value']\n",
+    "            except IndexError:\n",
+    "                description = ''\n",
+    "            new_row = {\n",
+    "                'CVE': cve,\n",
+    "                'Published': published_date,\n",
+    "                'AttackVector': attack_vector,\n",
+    "                'AttackComplexity': attack_complexity,\n",
+    "                'PrivilegesRequired': privileges_required,\n",
+    "                'UserInteraction': user_interaction,\n",
+    "                'Scope': scope,\n",
+    "                'ConfidentialityImpact': confidentiality_impact,\n",
+    "                'IntegrityImpact': integrity_impact,\n",
+    "                'AvailabilityImpact': availability_impact,\n",
+    "                'BaseScore': base_score,\n",
+    "                'BaseSeverity': base_severity,\n",
+    "                'ExploitabilityScore': exploitability_score,\n",
+    "                'ImpactScore': impact_score,\n",
+    "                'CWE': cwe,\n",
+    "                'Description': description,\n",
+    "                'Assigner' : assigner\n",
+    "            }\n",
+    "            if not description.startswith('rejected reason'): \n",
+    "                row_accumulator.append(new_row)\n",
+    "        nvd = pd.DataFrame(row_accumulator)\n",
+    "    \n",
+    "nvd['Published'] = pd.to_datetime(nvd['Published'])\n",
+    "nvd = nvd.sort_values(by=['Published'])\n",
+    "nvd = nvd.reset_index(drop=True)\n",
+    "nvd['BaseScore'] = pd.to_numeric(nvd['BaseScore']);\n",
+    "nvd['BaseScore'] = nvd['BaseScore'].replace(0, np.NaN);\n",
+    "nvdcount = nvd['Published'].count()\n",
+    "startdate = date(2000, 1, 1)\n",
+    "enddate  = date.today()\n",
+    "numberofdays = enddate - startdate \n",
+    "per_day = nvdcount/numberofdays.days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "fb2368b3",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:12.823662Z",
+     "iopub.status.busy": "2024-06-05T08:06:12.823259Z",
+     "iopub.status.idle": "2024-06-05T08:06:12.858497Z",
+     "shell.execute_reply": "2024-06-05T08:06:12.857955Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "Total Number of CVEs: **252689**<br />Average CVEs Per Day: **28.32**<br />Average CVSS Score: **7.11**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Markdown(f\"Total Number of CVEs: **{nvd['CVE'].count()}**<br />Average CVEs Per Day: **{per_day.round(2)}**<br />Average CVSS Score: **{nvd['BaseScore'].mean().round(2)}**\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "18a9c60b",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "source": [
+    "\n",
+    "## CVE Graphs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "39c9867a",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:12.860755Z",
+     "iopub.status.busy": "2024-06-05T08:06:12.860345Z",
+     "iopub.status.idle": "2024-06-05T08:06:12.901633Z",
+     "shell.execute_reply": "2024-06-05T08:06:12.901107Z"
+    },
+    "tags": [
+     "remove-cell"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "Month_Graph = nvd['Published'].groupby(nvd.Published.dt.to_period(\"M\")).agg('count')\n",
+    "Year_Graph = nvd['Published'].groupby(nvd.Published.dt.to_period(\"Y\")).agg('count')\n",
+    "Week_Graph = nvd['Published'].groupby(nvd.Published.dt.to_period(\"W\")).agg('count')\n",
+    "Day_Graph = nvd['Published'].groupby(nvd.Published.dt.to_period(\"D\")).agg('count')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "986aa70e",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "source": [
+    "### CVE Per Year Graph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "a776139d",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:12.903890Z",
+     "iopub.status.busy": "2024-06-05T08:06:12.903583Z",
+     "iopub.status.idle": "2024-06-05T08:06:13.109442Z",
+     "shell.execute_reply": "2024-06-05T08:06:13.108866Z"
+    },
+    "tags": [
+     "hide-input",
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
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+      "text/plain": [
+       "<Figure size 1600x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cg = Year_Graph.plot.area(colormap='jet', figsize=(16, 8), title='CVEs Per Year')\n",
+    "plt.grid()\n",
+    "cg.set_ylabel(\"New CVEs\");\n",
+    "cg.set_xlabel(\"Date\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ce24285",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "source": [
+    "### CVE Per Month Graph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "endless-cylinder",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:13.111861Z",
+     "iopub.status.busy": "2024-06-05T08:06:13.111395Z",
+     "iopub.status.idle": "2024-06-05T08:06:13.319669Z",
+     "shell.execute_reply": "2024-06-05T08:06:13.319112Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1600x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cg = Month_Graph.plot.area(colormap='jet', figsize=(16, 8), title='CVEs Per Month')\n",
+    "plt.grid()\n",
+    "cg.set_ylabel(\"New CVEs\");\n",
+    "cg.set_xlabel(\"Date\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "befe79e1",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "source": [
+    "\n",
+    "\n",
+    "### CVE Per Week Graph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "common-louis",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:13.321897Z",
+     "iopub.status.busy": "2024-06-05T08:06:13.321583Z",
+     "iopub.status.idle": "2024-06-05T08:06:13.583690Z",
+     "shell.execute_reply": "2024-06-05T08:06:13.583212Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1600x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cg = Week_Graph.plot.area(colormap='jet', figsize=(16, 8), title='CVEs Per Week')\n",
+    "plt.grid()\n",
+    "cg.set_ylabel(\"New CVEs\");\n",
+    "cg.set_xlabel(\"Date\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "989be730",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "source": [
+    "\n",
+    "\n",
+    "### CVE Per Day Graph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "smooth-stupid",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:13.585986Z",
+     "iopub.status.busy": "2024-06-05T08:06:13.585647Z",
+     "iopub.status.idle": "2024-06-05T08:06:13.968344Z",
+     "shell.execute_reply": "2024-06-05T08:06:13.967795Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1600x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cg = Day_Graph.plot.area(colormap='jet', figsize=(16, 8), title='CVEs Per Day')\n",
+    "plt.grid()\n",
+    "cg.set_ylabel(\"New CVEs\");\n",
+    "cg.set_xlabel(\"Date\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "51593e0c",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "source": [
+    "\n",
+    "## CVSS Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "0652f359",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:13.970689Z",
+     "iopub.status.busy": "2024-06-05T08:06:13.970341Z",
+     "iopub.status.idle": "2024-06-05T08:06:14.192583Z",
+     "shell.execute_reply": "2024-06-05T08:06:14.192141Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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eemlOOeWUco8GNAFLlizJs88+W3r+/PPPZ9asWdl0002z5ZZbZujQofnud7+b7bbbLt27d883v/nNdOnSpXSH9E+Civr6+vpyDwEftYqKirW+fs011+Skk076aIcBCuezn/1sevXqlcsuu6zcowBN0K233poRI0bkmWeeSffu3TN8+PCcdtpp5R4LaGJee+21fPOb38xNN92UhQsXpkuXLjn22GMzcuTItGrVqtzjAWV2991358ADD1zj9UGDBmXChAmpr6/PqFGjctVVV2XRokXZb7/9csUVV2T77bcvw7TlIWoCAAAAAIXimpoAAAAAQKGImgAAAABAoYiaAAAAAEChiJoAAAAAQKGImgAAAABAoYiaAAAAAEChiJoAAAAAQKGImgAAAABAoYiaAAAAAEChiJoAAAAAQKGImgAAAABAoYiaAAAAAECh/P+ALGMpYPqh+QAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1600x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "nvd['BaseScore'].plot(kind=\"hist\", colormap='jet', figsize=(16, 8), title='CVSS Scores');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f0210783",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "source": [
+    "## CNA Data\n",
+    "\n",
+    "### CNA Assigner Graph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "96ff98c6",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:14.194757Z",
+     "iopub.status.busy": "2024-06-05T08:06:14.194424Z",
+     "iopub.status.idle": "2024-06-05T08:06:14.488909Z",
+     "shell.execute_reply": "2024-06-05T08:06:14.488365Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1000x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "nvd_frequency = nvd['Assigner'].value_counts()\n",
+    "nvd_frequency = nvd_frequency.reset_index()\n",
+    "nvd_frequency.columns = ['Assigner', 'CVEs']\n",
+    "nvd_frequency['Percentage'] = round((nvd_frequency['CVEs'] / \n",
+    "                       nvd_frequency['CVEs'].sum()) * 100)\n",
+    "nvd_frequency[nvd_frequency.CVEs > 100].head(50)\n",
+    "nvd_frequency_no_mitre = nvd_frequency[~nvd_frequency.Assigner.str.contains('cve@mitre.org')]\n",
+    "nvd_frequency_no_mitre = nvd_frequency_no_mitre[nvd_frequency_no_mitre.CVEs > 1].head(20)\n",
+    "plt.figure(figsize=(10,10))\n",
+    "plt.barh(\"Assigner\", \"CVEs\", data = nvd_frequency_no_mitre, color=\"#001d82\")\n",
+    "plt.xlabel(\"CVEs\"); \n",
+    "plt.ylabel(\"\") ;\n",
+    "plt.title(\"Top 20 CNAs\");\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aa3ea191",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "source": [
+    "\n",
+    "\n",
+    "## CWE Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "6815f0a1",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:14.491165Z",
+     "iopub.status.busy": "2024-06-05T08:06:14.490809Z",
+     "iopub.status.idle": "2024-06-05T08:06:14.775537Z",
+     "shell.execute_reply": "2024-06-05T08:06:14.775080Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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rK+tnx4aFhenUqVPu23JrHD58WEVFRaY6W1pYWJj27NlTq7+ua3ouGnP9pNMhc9CgQdqyZYs2b96sgIAA9erVy7295qVXNS++aq7we7Yae/6SNHbsWLVp00arV6/WBx98oGPHjp33tzzXGDNmjOx2u+bNm6eysjJJUlRUlI4eParBgwcrMTGxVrv00kvd4ySdMezX/F7V9bu3Z8+eBv3e1fw9++kbqevapyR16tRJU6ZM0VtvvaVvv/1W7dq10+OPP/6zxwGAnyL8AgDOmr+/v9LT05WamqqkpKR6x40ePVonT57Us88+a+p/6qmnZLFY3Cs4hYWFteb26dNHktyfGqr5RmhD34b7pz/9SX5+frrrrrt0+PDhWtv37dunZ555xl2nJD399NOmMU8++aQk1fk22pYyevRobd++3RTKysrK9Nxzzyk8PFzdu3dvkuM05vrVGDJkiL7//nutXLlSAwcONK38xcfHa8+ePXr77bfVrl07923av1Rnc/6tW7fWddddp/fff1/p6eny8/PTNddc01wl66GHHtLRo0f1/PPPSzq9enry5Ek9+uijtcZWV1e7/y4NHz5cbdq00fz581VeXm4aV7NC3q9fP7Vv317Lly83ff7rgw8+0K5duxr0d6Tm7/vf/vY3U/9P/96dPHlSxcXFpr727dsrJCSk1qfHAKAhuO0ZAHBObr/99p8dk5SUJIfDoT//+c/Ky8vTpZdeqg8//FBvv/22HnjgAfeK09y5c/Xvf/9bY8aMUVhYmI4cOaJly5bpkksuca8QRkVFyWq1avny5WrTpo38/Pw0cOBARURE1HnsqKgorV69WjfeeKO6deum2267TT179lRlZaW2bt2q1157TXfccYek07fs3n777XruuedUVFQku92u7du368UXX9S1114rh8PRNBetCcycOVOvvPKKRo0apfvuu09BQUF68cUX9e233+r1118/p1tNf6wx169GzX+rrKwspaammrYNGjRIFotF27ZtU1JSUr0r+R988IF7FfvH4uPjm/V5z7M5f+n0rc8vvfSS1q1bp1tuucX9jzZ1+d///V/5+/vX6h82bJg6dOjQ6JpHjRqlnj176sknn1RycrLsdrsmT56s+fPnKzc3V8OHD1erVq309ddf67XXXtMzzzyj66+/XgEBAXrqqad01113qX///rr55pvVtm1b/b//9/904sQJvfjii2rVqpUWLlyoiRMnym6366abbtLhw4f1zDPPKDw8XNOmTfvZ+vr06aObbrpJy5YtU3FxseLj45WZmVnru8ulpaW65JJLdP311+vSSy+Vv7+/NmzYoB07dmjJkiWNvi4AwKeOAAAN9uNPHZ3JTz91ZBinP8Mzbdo0IyQkxGjVqpXRpUsXY9GiRe5PqBiGYWRmZhrXXHONERISYlx44YVGSEiIcdNNNxlfffWVaV9vv/220b17d8Pb27vBnz366quvjLvvvtsIDw83LrzwQqNNmzbG4MGDjaVLlxrl5eXucVVVVcYjjzxiREREGK1atTJsNpsxa9Ys05j6ztEwjFqfmTEMw/j2228NScaiRYvcfbfffrvh5+dXa77dbjd69OhRq7+u4+3bt8+4/vrrDavVavj6+hoDBgww3n33XdOYmk/9vPbaa3XW1JBrZxgNv36GYRhlZWXu/zYffvhhrX317t3bkGQsXLiw1rYzfeqoIfXW96mj5jx/wzCM6upqo1OnToYk4/33369zn2f61JF+8mmsutT3O2gYhvHCCy/UOr/nnnvOiIuLM1q3bm20adPG6NWrl/GnP/3JOHjwoGnu2rVrjfj4eKN169ZGQECAMWDAAOOVV14xjVmzZo3Rt29fw8fHxwgKCjJuueUW47vvvjONqe933DAM44cffjDuu+8+o127doafn5+RlJRk7N+/3/Spo4qKCmPGjBnGpZdearRp08bw8/MzLr30UmPZsmVnvC4AUB+LYZzD2zMAAAAAAPgV4JlfAAAAAIDHI/wCAAAAADwe4RcAAAAA4PEIvwAAAAAAj0f4BQAAAAB4PMIvAAAAAMDjebd0AfhtOHXqlA4ePKg2bdrIYrG0dDkAAAAAWohhGCotLVVISIi8vJpvPZbwi2Zx8OBB2Wy2li4DAAAAwC/E/v37dckllzTb8Qi/aBZt2rSRdPoXPCAgoIWrAQAAANBSSkpKZLPZ3BmhuRB+0SxqbnUOCAgg/AIAAABo9scheeEVAAAAAMDjEX4BAAAAAB6P8AsAAAAA8HiEXwAAAACAxyP8AgAAAAA8HuEXAAAAAODxCL8AAAAAAI9H+AUAAAAAeDzCLwAAAADA4xF+AQAAAAAej/ALAAAAAPB4hF8AAAAAgMcj/AIAAAAAPB7hFwAAAADg8Qi/AAAAAACPR/gFAAAAAHg8wi8AAAAAwOMRfgEAAAAAHo/wCwAAAADweIRfAAAAAIDHI/wCAAAAADwe4RcAAAAA4PEIvwAAAAAAj0f4BQAAAAB4PMIvAAAAAMDjEX4BAAAAAB6P8AsAAAAA8HiEXwAAAACAxyP8AgAAAAA8HuEXAAAAAODxCL8AAAAAAI9H+AUAAAAAeDzvli4Avy2B3RdKXr4tXYaJkT+npUsAAAAAcJ6x8gsAAAAA8HiEXwAAAACAxyP8AgAAAAA8HuEXAAAAAODxCL8AAAAAAI9H+AUAAAAAeDzC73lQUFCgqVOnKjIyUj4+PrLZbEpKSlJmZqYmTJigkSNHmsZnZGTIYrEoNTXV1J+amqrOnTtLkvLy8mSxWOps27Ztq7eW559/XldccYXatm2rtm3bKjExUdu3b681bteuXRo7dqwCAwPl5+en/v37Kz8/37193759uu666xQcHKyAgADdcMMNOnz48DlcJQAAAABoPoTfJpaXl6e4uDht3LhRixYt0s6dO5WRkSGHw6Hk5GQ5HA5t2bJF1dXV7jlOp1M2m00ul8u0L6fTKYfDYerbsGGDDh06ZGpxcXH11uNyuXTTTTfJ6XQqKytLNptNw4cP14EDB9xj9u3bpyFDhig2NlYul0ufffaZ5syZI1/f09/jLSsr0/Dhw2WxWLRx40Zt2bJFlZWVSkpK0qlTp5rgqgEAAADA+WUxDMNo6SI8yejRo/XZZ59pz5498vPzM20rKirSkSNH1LVrV2VlZWnQoEGSpIEDB+r2229XSkqKjh07Jl9fX5WXl8tqtWr58uW64447lJeXp4iICH366afq06fPWdd38uRJtW3bVs8++6xuu+02SdKECRPUqlUrrVq1qs45H374oUaNGqVjx44pICBAklRcXKy2bdvqww8/VGJi4s8et6SkRIGBgVLobMnL96zrPx+M/DktXQIAAADwm1GTDYqLi935ojmw8tuECgsLlZGRoeTk5FrBV5KsVqtiYmIUEhIip9MpSSotLVVOTo7Gjx+v8PBwZWVlSZK2bt2qioqKWiu/5+rEiROqqqpSUFCQJOnUqVN67733FBMToxEjRqh9+/YaOHCg3nrrLfeciooKWSwW+fj4uPt8fX3l5eWlzZs313mciooKlZSUmBoAAAAAtBTCbxPau3evDMNQbGzsGcc5HA73Lc6bNm1STEyMgoODNXToUHe/y+VSRESEwsLCTHPj4+Pl7+9vao3x0EMPKSQkxL1ae+TIER0/flwLFizQyJEj9eGHH+q6667T7373O3300UeSpEGDBsnPz08PPfSQTpw4obKyMk2fPl0nT57UoUOH6jzO/PnzFRgY6G42m61RdQIAAABAUyL8NqGG3kGekJCgLVu2qKqqSi6XSwkJCZIku91uCr91rfquWbNGubm5piZJ+fn5pkA8b968WnMXLFigV199VW+++ab7ed6aZ3avueYaTZs2TX369NHMmTN19dVXa/ny5ZKk4OBgvfbaa3rnnXfk7++vwMBAFRUV6bLLLpOXV92/QrNmzVJxcbG77d+/v0HXBgAAAADOB++WLsCTdOnSRRaLRbt37z7jOIfDobKyMu3YsUNOp1MzZsyQdDr8Tpo0SYWFhcrOztbkyZNrzbXZbIqOjq7VHxIS4g7Ckty3NddYvHixFixYoA0bNqh3797u/osvvlje3t7q3r27aXy3bt1MtzQPHz5c+/bt03//+195e3vLarWqY8eOioyMrPMcfXx8TLdJAwAAAEBLYuW3CQUFBWnEiBFKS0tTWVlZre1FRUWSpKioKNlsNq1du1a5ubmy2+2SpNDQUIWGhmrJkiWqrKxs1PO+3t7eio6Odrcfh98nnnhCjz76qDIyMtSvXz/TvAsvvFD9+/fXnj17TP1fffVVrVuupdNh2Wq1auPGjTpy5IjGjh3b4BoBAAAAoKWw8tvE0tLSNHjwYA0YMEBz585V7969VV1drfXr1ys9PV27du2SdHr1d9myZYqOjlaHDh3c8+12u5YuXep+MdZPHT16VAUFBaY+q9Xqvo35pxYuXKi//OUvWr16tcLDw91zf/y88IwZM3TjjTdq6NChcjgcysjI0DvvvGP69NLKlSvVrVs3BQcHKysrS/fff7+mTZumrl27ntP1AgAAAIDmwMpvE4uMjFROTo4cDodSUlLUs2dPDRs2TJmZmUpPT3ePczgcKi0tdT/vW8Nut6u0tLTeVd/ExER16tTJ1H78ZuafSk9PV2Vlpa6//nrTnMWLF7vHXHfddVq+fLmeeOIJ9erVS//4xz/0+uuva8iQIe4xe/bs0bXXXqtu3bpp7ty5+vOf/2zaBwAAAAD8kvGdXzQLvvMLAAAAQOI7vwAAAAAAnDeEXwAAAACAxyP8AgAAAAA8HuEXAAAAAODx+NQRmlXxlw8160PtAAAAACCx8gsAAAAA+A0g/AIAAAAAPB7hFwAAAADg8Qi/AAAAAACPR/gFAAAAAHg83vaMZhXYfaHk5dvSZTQpI39OS5cAAAAA4Gew8gsAAAAA8HiEXwAAAACAxyP8AgAAAAA8HuEXAAAAAODxCL8AAAAAAI9H+AUAAAAAeDzC73lQUFCgqVOnKjIyUj4+PrLZbEpKSlJmZqYmTJigkSNHmsZnZGTIYrEoNTXV1J+amqrOnTtLkvLy8mSxWOps27Ztq7eWL774QuPGjVN4eLgsFouefvrpWmPmz5+v/v37q02bNmrfvr2uvfZa7dmzxzSmvLxcycnJateunfz9/TVu3DgdPnz47C4QAAAAADQzwm8Ty8vLU1xcnDZu3KhFixZp586dysjIkMPhUHJyshwOh7Zs2aLq6mr3HKfTKZvNJpfLZdqX0+mUw+Ew9W3YsEGHDh0ytbi4uHrrOXHihCIjI7VgwQJ17NixzjEfffSRkpOTtW3bNq1fv15VVVUaPny4ysrK3GOmTZumd955R6+99po++ugjHTx4UL/73e/O4goBAAAAQPPzbukCPM2UKVNksVi0fft2+fn5uft79OihSZMm6ciRIzp+/Lg+/vhjDRo0SJLkcrk0c+ZMpaSkqLy8XL6+viovL1d2drYmTpxo2n+7du3qDbF16d+/v/r37y9JmjlzZp1jMjIyTD+/8MILat++vT755BMNHTpUxcXFWrFihVavXq0rr7xSkrRy5Up169ZN27Ztc58HAAAAAPxSsfLbhAoLC5WRkaHk5GRT8K1htVoVExOjkJAQOZ1OSVJpaalycnI0fvx4hYeHKysrS5K0detWVVRU1Fr5bQ7FxcWSpKCgIEnSJ598oqqqKiUmJrrHxMbGqnPnzu56f6qiokIlJSWmBgAAAAAthfDbhPbu3SvDMBQbG3vGcQ6Hw32L86ZNmxQTE6Pg4GANHTrU3e9yuRQREaGwsDDT3Pj4ePn7+5taUzp16pQeeOABDR48WD179pR0+hnmCy+8UFar1TS2Q4cOKigoqHM/8+fPV2BgoLvZbLYmrRMAAAAAGoPw24QMw2jQuISEBG3ZskVVVVVyuVxKSEiQJNntdlP4rWvVd82aNcrNzTU1ScrPzzcF4nnz5p3VOSQnJ+vzzz/Xq6++elbza8yaNUvFxcXutn///nPaHwAAAACcC575bUJdunSRxWLR7t27zzjO4XCorKxMO3bskNPp1IwZMySdDr+TJk1SYWGhsrOzNXny5FpzbTaboqOja/WHhIS4g7D0f7csN8a9996rd999V//+9791ySWXuPs7duyoyspKFRUVmVZ/Dx8+XO/zxz4+PvLx8Wl0DQAAAABwPrDy24SCgoI0YsQIpaWlmd6UXKOoqEiSFBUVJZvNprVr1yo3N1d2u12SFBoaqtDQUC1ZskSVlZWNet7X29tb0dHR7taY8GsYhu699169+eab2rhxoyIiIkzb4+Li1KpVK2VmZrr79uzZo/z8fF1++eUNPg4AAAAAtBRWfptYWlqaBg8erAEDBmju3Lnq3bu3qqurtX79eqWnp2vXrl2STq/+Llu2TNHR0erQoYN7vt1u19KlS90vxvqpo0eP1nrO1mq1ytfXt856Kisr9eWXX7r/fODAAeXm5srf39+9gpycnKzVq1fr7bffVps2bdz7DwwMVOvWrRUYGKg777xTDz74oIKCghQQEKCpU6fq8ssv503PAAAAAH4VWPltYpGRkcrJyZHD4VBKSop69uypYcOGKTMzU+np6e5xDodDpaWl7ud9a9jtdpWWlta76puYmKhOnTqZ2ltvvVVvPQcPHlTfvn3Vt29fHTp0SIsXL1bfvn111113ucekp6eruLhYCQkJpv2uWbPGPeapp57S1VdfrXHjxmno0KHq2LGj3njjjbO7SAAAAADQzCxGQ9/SBJyDkpISBQYGSqGzJa+6V6l/rYz8OS1dAgAAAPCrUZMNiouLFRAQ0GzHZeUXAAAAAODxCL8AAAAAAI9H+AUAAAAAeDzCLwAAAADA4xF+AQAAAAAej+/8olkVf/lQs77RDQAAAAAkVn4BAAAAAL8BhF8AAAAAgMcj/AIAAAAAPB7hFwAAAADg8XjhFZpVYPeFkpdvS5dx3hj5c1q6BAAAAAB1YOUXAAAAAODxCL8AAAAAAI9H+AUAAAAAeDzCLwAAAADA4xF+AQAAAAAej/ALAAAAAPB4hF8AAAAAgMcj/J4HBQUFmjp1qiIjI+Xj4yObzaakpCRlZmZqwoQJGjlypGl8RkaGLBaLUlNTTf2pqanq3LmzJCkvL08Wi6XOtm3btgbV9eqrr8pisejaa6+tdZzY2Fj5+fmpbdu2SkxMVHZ2dp37qKioUJ8+fWSxWJSbm9ug4wIAAABASyP8NrG8vDzFxcVp48aNWrRokXbu3KmMjAw5HA4lJyfL4XBoy5Ytqq6uds9xOp2y2WxyuVymfTmdTjkcDlPfhg0bdOjQIVOLi4trUF3Tp0/XFVdcUWtbTEyMnn32We3cuVObN29WeHi4hg8fru+//77W2D/96U8KCQlp4NUAAAAAgF8G75YuwNNMmTJFFotF27dvl5+fn7u/R48emjRpko4cOaLjx4/r448/1qBBgyRJLpdLM2fOVEpKisrLy+Xr66vy8nJlZ2dr4sSJpv23a9dOHTt2bFRNJ0+e1C233KJHHnlEmzZtUlFRkWn7zTffbPr5ySef1IoVK/TZZ5/pqquucvd/8MEH+vDDD/X666/rgw8+OOMxKyoqVFFR4f65pKSkUTUDAAAAQFNi5bcJFRYWKiMjQ8nJyabgW8NqtSomJkYhISFyOp2SpNLSUuXk5Gj8+PEKDw9XVlaWJGnr1q2qqKiotfJ7NubOnav27dvrzjvv/NmxlZWVeu655xQYGKhLL73U3X/48GHdfffdWrVqlS666KKf3c/8+fMVGBjobjab7ZzOAQAAAADOBeG3Ce3du1eGYSg2NvaM4xwOh/sW502bNikmJkbBwcEaOnSou9/lcikiIkJhYWGmufHx8fL39ze1M9m8ebNWrFih559//ozj3n33Xfn7+8vX11dPPfWU1q9fr4svvliSZBiG7rjjDv3hD39Qv379zrifGrNmzVJxcbG77d+/v0HzAAAAAOB8IPw2IcMwGjQuISFBW7ZsUVVVlVwulxISEiRJdrvdFH7rWvVds2aNcnNzTU2S8vPzTYF43rx5Ki0t1a233qrnn3/eHWTr43A4lJubq61bt2rkyJG64YYbdOTIEUnS0qVLVVpaqlmzZjXsQkjy8fFRQECAqQEAAABAS+GZ3ybUpUsXWSwW7d69+4zjHA6HysrKtGPHDjmdTs2YMUPS6fA7adIkFRYWKjs7W5MnT64112azKTo6ulZ/SEiI6e3LQUFB2rdvn/Ly8pSUlOTuP3XqlCTJ29tbe/bsUVRUlCTJz89P0dHRio6O1qBBg9SlSxetWLFCs2bN0saNG5WVlSUfHx/TMfv166dbbrlFL774YsMuEAAAAAC0EMJvEwoKCtKIESOUlpam++67r9Zzv0VFRbJarYqKipLNZtPatWuVm5sru90uSQoNDVVoaKiWLFmiysrKRj3v6+3tXSsUX3TRRdq5c6ep7+GHH1ZpaameeeaZMz6He+rUKfcLq/72t7/psccec287ePCgRowYoTVr1mjgwIENrhEAAAAAWgrht4mlpaVp8ODBGjBggObOnavevXururpa69evV3p6unbt2iXp9OrvsmXLFB0drQ4dOrjn2+12LV261P1irJ86evSoCgoKTH1Wq1W+vr61xvr6+qpnz561xkpy95eVlenxxx/X2LFj1alTJ/33v/9VWlqaDhw4oPHjx0uS+1vDNWqeM46KitIll1zSmMsDAAAAAC2CZ36bWGRkpHJycuRwOJSSkqKePXtq2LBhyszMVHp6unucw+FQaWmp+3nfGna7XaWlpfWu+iYmJqpTp06m9tZbb511vRdccIF2796tcePGKSYmRklJSTp69Kg2bdqkHj16nPV+AQAAAOCXxGI09C1NwDkoKSlRYGCgFDpb8qq9Su0pjPw5LV0CAAAA8ItWkw2Ki4ub9cW4rPwCAAAAADwe4RcAAAAA4PEIvwAAAAAAj0f4BQAAAAB4PD51hGZV/OVDzfpQOwAAAABIrPwCAAAAAH4DCL8AAAAAAI9H+AUAAAAAeDzCLwAAAADA4/HCKzSrwO4LJS/fli7jvDHy57R0CQAAAADqwMovAAAAAMDjEX4BAAAAAB6P8AsAAAAA8HiEXwAAAACAxyP8AgAAAAA8HuEXAAAAAODxCL8AAAAAAI9H+D0PCgoKNHXqVEVGRsrHx0c2m01JSUnKzMzUhAkTNHLkSNP4jIwMWSwWpaammvpTU1PVuXNnSVJeXp4sFkudbdu2bfXW8sUXX2jcuHEKDw+XxWLR008/XWtMaWmpHnjgAYWFhal169aKj4/Xjh07TGMMw9Bf/vIXderUSa1bt1ZiYqK+/vrrs7tAAAAAANDMCL9NLC8vT3Fxcdq4caMWLVqknTt3KiMjQw6HQ8nJyXI4HNqyZYuqq6vdc5xOp2w2m1wul2lfTqdTDofD1LdhwwYdOnTI1OLi4uqt58SJE4qMjNSCBQvUsWPHOsfcddddWr9+vVatWqWdO3dq+PDhSkxM1IEDB9xjnnjiCf3tb3/T8uXLlZ2dLT8/P40YMULl5eVncZUAAAAAoHlZDMMwWroITzJ69Gh99tln2rNnj/z8/EzbioqKdOTIEXXt2lVZWVkaNGiQJGngwIG6/fbblZKSomPHjsnX11fl5eWyWq1avny57rjjDuXl5SkiIkKffvqp+vTpc1a1hYeH64EHHtADDzzg7vvhhx/Upk0bvf322xozZoy7Py4uTqNGjdJjjz0mwzAUEhKilJQUTZ8+XZJUXFysDh066IUXXtCECRN+9tglJSUKDAyUQmdLXr5nVf+vgZE/p6VLAAAAAH7RarJBcXGxAgICmu24rPw2ocLCQmVkZCg5OblW8JUkq9WqmJgYhYSEyOl0Sjp9y3FOTo7Gjx+v8PBwZWVlSZK2bt2qioqKWiu/Ta26ulonT56Ur685kLZu3VqbN2+WJH377bcqKChQYmKie3tgYKAGDhzorvenKioqVFJSYmoAAAAA0FIIv01o7969MgxDsbGxZxzncDjctzhv2rRJMTExCg4O1tChQ939LpdLERERCgsLM82Nj4+Xv7+/qZ2LNm3a6PLLL9ejjz6qgwcP6uTJk3r55ZeVlZWlQ4cOSTr9DLMkdejQwTS3Q4cO7m0/NX/+fAUGBrqbzWY7pzoBAAAA4FwQfptQQ+8gT0hI0JYtW1RVVSWXy6WEhARJkt1uN4XfulZ916xZo9zcXFOTpPz8fFMgnjdvXoPrXrVqlQzDUGhoqHx8fPS3v/1NN910k7y8zv7XY9asWSouLna3/fv3n/W+AAAAAOBcebd0AZ6kS5cuslgs2r179xnHORwOlZWVaceOHXI6nZoxY4ak0+F30qRJKiwsVHZ2tiZPnlxrrs1mU3R0dK3+kJAQdxCWpKCgoAbXHRUVpY8++khlZWUqKSlRp06ddOONNyoyMlKS3C/KOnz4sDp16uSed/jw4XqfP/bx8ZGPj0+DawAAAACA84mV3yYUFBSkESNGKC0tTWVlZbW2FxUVSTodNm02m9auXavc3FzZ7XZJUmhoqEJDQ7VkyRJVVlY26nlfb29vRUdHu1tjwm8NPz8/derUSceOHdO6det0zTXXSJIiIiLUsWNHZWZmuseWlJQoOztbl19+eaOPAwAAAADNjZXfJpaWlqbBgwdrwIABmjt3rnr37q3q6mqtX79e6enp2rVrl6TTq7/Lli1TdHS06Vlau92upUuXul+M9VNHjx6t9Zyt1Wqt9cKqGpWVlfryyy/dfz5w4IByc3Pl7+/vXkFet26dDMNQ165dtXfvXs2YMUOxsbGaOHGiJMliseiBBx7QY489pi5duigiIkJz5sxRSEiIrr322nO+ZgAAAABwvrHy28QiIyOVk5Mjh8OhlJQU9ezZU8OGDVNmZqbS09Pd4xwOh0pLS93P+9aw2+0qLS2td9U3MTFRnTp1MrW33nqr3noOHjyovn37qm/fvjp06JAWL16svn376q677nKPKS4uVnJysmJjY3XbbbdpyJAhWrdunVq1auUe86c//UlTp07VPffco/79++v48ePKyMioN3QDAAAAwC8J3/lFs+A7vwAAAAAkvvMLAAAAAMB5Q/gFAAAAAHg8wi8AAAAAwOMRfgEAAAAAHo9PHaFZFX/5ULM+1A4AAAAAEiu/AAAAAIDfAMIvAAAAAMDjEX4BAAAAAB6P8AsAAAAA8HiEXwAAAACAx+Ntz2hWgd0XSl6+LV3GeWXkz2npEgAAAAD8BCu/AAAAAACPR/gFAAAAAHg8wi8AAAAAwOMRfgEAAAAAHo/wCwAAAADweIRfAAAAAIDHI/yeBwUFBZo6daoiIyPl4+Mjm82mpKQkZWZmasKECRo5cqRpfEZGhiwWi1JTU039qamp6ty5syQpLy9PFoulzrZt27Yz1vP000+ra9euat26tWw2m6ZNm6by8nLTmAMHDuj3v/+92rVrp9atW6tXr176+OOPJUlVVVV66KGH1KtXL/n5+SkkJES33XabDh48eI5XCgAAAACaB9/5bWJ5eXkaPHiwrFarFi1apF69eqmqqkrr1q1TcnKypk2bpunTp6u6ulre3qcvv9PplM1mk8vlMu3L6XTK4XCY+jZs2KAePXqY+tq1a1dvPatXr9bMmTP1z3/+U/Hx8frqq690xx13yGKx6Mknn5QkHTt2TIMHD5bD4dAHH3yg4OBgff3112rbtq0k6cSJE8rJydGcOXN06aWX6tixY7r//vs1duxYd0AGAAAAgF8ywm8TmzJliiwWi7Zv3y4/Pz93f48ePTRp0iQdOXJEx48f18cff6xBgwZJklwul2bOnKmUlBSVl5fL19dX5eXlys7O1sSJE037b9eunTp27NjgerZu3arBgwfr5ptvliSFh4frpptuUnZ2tnvMwoULZbPZtHLlSndfRESE+8+BgYFav369ab/PPvusBgwYoPz8fPfqNAAAAAD8UnHbcxMqLCxURkaGkpOTTcG3htVqVUxMjEJCQuR0OiVJpaWlysnJ0fjx4xUeHq6srCxJp0NrRUVFrZXfxoqPj9cnn3yi7du3S5K++eYbvf/++xo9erR7zNq1a9WvXz+NHz9e7du3V9++ffX888+fcb/FxcWyWCyyWq11bq+oqFBJSYmpAQAAAEBLIfw2ob1798owDMXGxp5xnMPhcN/ivGnTJsXExCg4OFhDhw5197tcLkVERCgsLMw0Nz4+Xv7+/qZ2JjfffLPmzp2rIUOGqFWrVoqKilJCQoJmz57tHvPNN98oPT1dXbp00bp16/THP/5R9913n1588cU691leXq6HHnpIN910kwICAuocM3/+fAUGBrqbzWY7Y50AAAAAcD4RfpuQYRgNGpeQkKAtW7aoqqpKLpdLCQkJkiS73W4Kv3Wt+q5Zs0a5ubmmJkn5+fmmQDxv3jz3fubNm6dly5YpJydHb7zxht577z09+uij7n2eOnVKl112mebNm6e+ffvqnnvu0d13363ly5fXOn5VVZVuuOEGGYah9PT0es9x1qxZKi4udrf9+/c36NoAAAAAwPnAM79NqEuXLrJYLNq9e/cZxzkcDpWVlWnHjh1yOp2aMWOGpNPhd9KkSSosLFR2drYmT55ca67NZlN0dHSt/pCQEHcQlqSgoCBJ0pw5c3TrrbfqrrvukiT16tVLZWVluueee/TnP/9ZXl5e6tSpk7p3727aX7du3fT666+b+mqC73/+8x9t3Lix3lVfSfLx8ZGPj88ZrwMAAAAANBdWfptQUFCQRowYobS0NJWVldXaXlRUJEmKioqSzWbT2rVrlZubK7vdLkkKDQ1VaGiolixZosrKykY97+vt7a3o6Gh3qwm/J06ckJeX+T/zBRdcIOn/VqoHDx6sPXv2mMZ89dVXpluua4Lv119/rQ0bNpzxDdMAAAAA8EtD+G1iaWlpOnnypAYMGKDXX39dX3/9tXbt2qW//e1vuvzyy93jHA6Hli1bpujoaHXo0MHdb7fbtXTpUveLsX7q6NGjKigoMLWffrP3x5KSkpSenq5XX31V3377rdavX685c+YoKSnJHYKnTZumbdu2ad68edq7d69Wr16t5557TsnJyZJOB9/rr79eH3/8sf71r3/p5MmT7mNXVlY21aUDAAAAgPOG256bWGRkpHJycvT4448rJSVFhw4dUnBwsOLi4kzPyDocDr300kvu531r2O12rVy50v1pop9KTEys1ffKK69owoQJdY5/+OGHZbFY9PDDD+vAgQMKDg5WUlKSHn/8cfeY/v37680339SsWbM0d+5cRURE6Omnn9Ytt9wiSTpw4IDWrl0rSerTp49p/06ns9Y5AAAAAMAvjcVo6FuagHNQUlKiwMBAKXS25OXb0uWcV0b+nJYuAQAAAPjFqskGxcXFZ3yPUFPjtmcAAAAAgMcj/AIAAAAAPB7hFwAAAADg8Qi/AAAAAACPx9ue0ayKv3yoWR9qBwAAAACJlV8AAAAAwG8A4RcAAAAA4PEIvwAAAAAAj0f4BQAAAAB4PMIvAAAAAMDj8bZnNKvA7gslL9+WLqPZGPlzWroEAAAAAGLlFwAAAADwG0D4BQAAAAB4PMIvAAAAAMDjEX4BAAAAAB6P8AsAAAAA8HiEXwAAAACAxyP8ngcFBQWaOnWqIiMj5ePjI5vNpqSkJGVmZmrChAkaOXKkaXxGRoYsFotSU1NN/ampqercubMkKS8vTxaLpc62bdu2BtX16quvymKx6NprrzX117ffRYsWmca99957GjhwoFq3bq22bdvW2g8AAAAA/FLxnd8mlpeXp8GDB8tqtWrRokXq1auXqqqqtG7dOiUnJ2vatGmaPn26qqur5e19+vI7nU7ZbDa5XC7TvpxOpxwOh6lvw4YN6tGjh6mvXbt2Dapr+vTpuuKKK2ptO3TokOnnDz74QHfeeafGjRvn7nv99dd19913a968ebryyitVXV2tzz///GePCwAAAAC/BITfJjZlyhRZLBZt375dfn5+7v4ePXpo0qRJOnLkiI4fP66PP/5YgwYNkiS5XC7NnDlTKSkpKi8vl6+vr8rLy5Wdna2JEyea9t+uXTt17NixUTWdPHlSt9xyix555BFt2rRJRUVFpu0/3d/bb78th8OhyMhISVJ1dbXuv/9+LVq0SHfeead7XPfu3RtVBwAAAAC0FG57bkKFhYXKyMhQcnKyKfjWsFqtiomJUUhIiJxOpySptLRUOTk5Gj9+vMLDw5WVlSVJ2rp1qyoqKmqt/J6NuXPnqn379qbgWp/Dhw/rvffeM43NycnRgQMH5OXlpb59+6pTp04aNWrUGVd+KyoqVFJSYmoAAAAA0FIIv01o7969MgxDsbGxZxzncDjctzhv2rRJMTExCg4O1tChQ939LpdLERERCgsLM82Nj4+Xv7+/qZ3J5s2btWLFCj3//PMNOocXX3xRbdq00e9+9zt33zfffCPp9DPIDz/8sN599121bdtWCQkJKiwsrHM/8+fPV2BgoLvZbLYGHR8AAAAAzgfCbxMyDKNB4xISErRlyxZVVVXJ5XIpISFBkmS3203ht65V3zVr1ig3N9fUJCk/P98UiOfNm6fS0lLdeuutev7553XxxRc3qLZ//vOfuuWWW+Tr6+vuO3XqlCTpz3/+s8aNG6e4uDitXLlSFotFr732Wp37mTVrloqLi91t//79DTo+AAAAAJwPPPPbhLp06SKLxaLdu3efcZzD4VBZWZl27Nghp9OpGTNmSDodfidNmqTCwkJlZ2dr8uTJtebabDZFR0fX6g8JCXEHYUkKCgrSvn37lJeXp6SkJHd/TZD19vbWnj17FBUV5d62adMm7dmzR2vWrDHtu1OnTpLMz/j6+PgoMjJS+fn5dZ6jj4+PfHx8zngdAAAAAKC5EH6bUFBQkEaMGKG0tDTdd999tZ77LSoqktVqVVRUlGw2m9auXavc3FzZ7XZJUmhoqEJDQ7VkyRJVVlY26nlfb2/vWqH4oosu0s6dO019Dz/8sEpLS/XMM8/UuhV5xYoViouL06WXXmrqj4uLk4+Pj/bs2aMhQ4ZIkqqqqpSXl1frtmwAAAAA+CUi/DaxtLQ0DR48WAMGDNDcuXPVu3dvVVdXa/369UpPT9euXbsknV79XbZsmaKjo9WhQwf3fLvdrqVLl7pfjPVTR48eVUFBganParWablOu4evrq549e9YaK6lWf0lJiV577TUtWbKk1n4CAgL0hz/8QX/9619ls9kUFhbm/gbw+PHjG3BVAAAAAKBl8cxvE4uMjFROTo4cDodSUlLUs2dPDRs2TJmZmUpPT3ePczgcKi0tdT/vW8Nut6u0tLTeVd/ExER16tTJ1N56661zrvvVV1+VYRi66aab6ty+aNEiTZgwQbfeeqv69++v//znP9q4caPatm17zscGAAAAgPPNYjT0LU3AOSgpKVFgYKAUOlvyqr1K7amM/DktXQIAAADwi1KTDYqLixUQENBsx2XlFwAAAADg8Qi/AAAAAACPR/gFAAAAAHg8wi8AAAAAwOPxqSM0q+IvH2rWh9oBAAAAQGLlFwAAAADwG0D4BQAAAAB4PMIvAAAAAMDjEX4BAAAAAB6P8AsAAAAA8Hi87RnNKrD7QsnLt6XLaFZG/pyWLgEAAAD4zWPlFwAAAADg8Qi/AAAAAACPR/gFAAAAAHg8wi8AAAAAwOMRfgEAAAAAHo/wCwAAAADweITf86CgoEBTp05VZGSkfHx8ZLPZlJSUpMzMTE2YMEEjR440jc/IyJDFYlFqaqqpPzU1VZ07d5Yk5eXlyWKx1Nm2bdtWby1vvPGG+vXrJ6vVKj8/P/Xp00erVq2qNWb48OFq166dLBaLcnNza+2nvLxcycnJateunfz9/TVu3DgdPnz47C4QAAAAADQzwm8Ty8vLU1xcnDZu3KhFixZp586dysjIkMPhUHJyshwOh7Zs2aLq6mr3HKfTKZvNJpfLZdqX0+mUw+Ew9W3YsEGHDh0ytbi4uHrrCQoK0p///GdlZWXps88+08SJEzVx4kStW7fOPaasrExDhgzRwoUL693PtGnT9M477+i1117TRx99pIMHD+p3v/tdI68OAAAAALQM75YuwNNMmTJFFotF27dvl5+fn7u/R48emjRpko4cOaLjx4/r448/1qBBgyRJLpdLM2fOVEpKisrLy+Xr66vy8nJlZ2dr4sSJpv23a9dOHTt2bHA9CQkJpp/vv/9+vfjii9q8ebNGjBghSbr11lslnQ7udSkuLtaKFSu0evVqXXnllZKklStXqlu3btq2bZv7PAAAAADgl4qV3yZUWFiojIwMJScnm4JvDavVqpiYGIWEhMjpdEqSSktLlZOTo/Hjxys8PFxZWVmSpK1bt6qioqLWyu+5MAxDmZmZ2rNnj4YOHdrgeZ988omqqqqUmJjo7ouNjVXnzp3d9f5URUWFSkpKTA0AAAAAWgrhtwnt3btXhmEoNjb2jOMcDof7FudNmzYpJiZGwcHBGjp0qLvf5XIpIiJCYWFhprnx8fHy9/c3tZ9TXFwsf39/XXjhhRozZoyWLl2qYcOGNfi8CgoKdOGFF8pqtZr6O3TooIKCgjrnzJ8/X4GBge5ms9kafDwAAAAAaGqE3yZkGEaDxiUkJGjLli2qqqqSy+Vy35pst9tN4beuVd81a9YoNzfX1CQpPz/fFIjnzZvnntOmTRvl5uZqx44devzxx/Xggw/Wer64qc2aNUvFxcXutn///vN6PAAAAAA4E575bUJdunSRxWLR7t27zzjO4XCorKxMO3bskNPp1IwZMySdDr+TJk1SYWGhsrOzNXny5FpzbTaboqOja/WHhISY3tIcFBTk/rOXl5d7Tp8+fbRr1y7Nnz+/1vPA9enYsaMqKytVVFRkWv09fPhwvc8f+/j4yMfHp0H7BwAAAIDzjZXfJhQUFKQRI0YoLS1NZWVltbYXFRVJkqKiomSz2bR27Vrl5ubKbrdLkkJDQxUaGqolS5aosrKyUc/7ent7Kzo62t1+HH5/6tSpU6qoqGjwvuPi4tSqVStlZma6+/bs2aP8/HxdfvnlDd4PAAAAALQUVn6bWFpamgYPHqwBAwZo7ty56t27t6qrq7V+/Xqlp6dr165dkk6v/i5btkzR0dHq0KGDe77dbtfSpUvdL8b6qaNHj9Z6ztZqtcrX17fOeubPn69+/fopKipKFRUVev/997Vq1Sqlp6e7xxQWFio/P18HDx6UdDrYSqdXfDt27KjAwEDdeeedevDBBxUUFKSAgABNnTpVl19+OW96BgAAAPCrwMpvE4uMjFROTo4cDodSUlLUs2dPDRs2TJmZmabA6XA4VFpaWuvWY7vdrtLS0npXfRMTE9WpUydTe+utt+qtp6ysTFOmTFGPHj00ePBgvf7663r55Zd11113ucesXbtWffv21ZgxYyRJEyZMUN++fbV8+XL3mKeeekpXX321xo0bp6FDh6pjx4564403zuIKAQAAAEDzsxgNfUsTcA5KSkoUGBgohc6WvOpepfZURv6cli4BAAAA+MWoyQbFxcUKCAhotuOy8gsAAAAA8HiEXwAAAACAxyP8AgAAAAA8HuEXAAAAAODxCL8AAAAAAI/Hd37RrIq/fKhZ3+gGAAAAABIrvwAAAACA3wDCLwAAAADA4xF+AQAAAAAej/ALAAAAAPB4vPAKzSqw+0LJy7ely2gxRv6cli4BAAAA+E1i5RcAAAAA4PEIvwAAAAAAj0f4BQAAAAB4PMIvAAAAAMDjEX4BAAAAAB6P8AsAAAAA8HiEXwAAAACAxyP8ngcFBQWaOnWqIiMj5ePjI5vNpqSkJGVmZmrChAkaOXKkaXxGRoYsFotSU1NN/ampqercubMkKS8vTxaLpc62bdu2emt544031K9fP1mtVvn5+alPnz5atWqVaczhw4d1xx13KCQkRBdddJFGjhypr7/+2jRm3759uu666xQcHKyAgADdcMMNOnz48DlcJQAAAABoPoTfJpaXl6e4uDht3LhRixYt0s6dO5WRkSGHw6Hk5GQ5HA5t2bJF1dXV7jlOp1M2m00ul8u0L6fTKYfDYerbsGGDDh06ZGpxcXH11hMUFKQ///nPysrK0meffaaJEydq4sSJWrdunSTJMAxde+21+uabb/T222/r008/VVhYmBITE1VWViZJKisr0/Dhw2WxWLRx40Zt2bJFlZWVSkpK0qlTp5roygEAAADA+WMxDMNo6SI8yejRo/XZZ59pz5498vPzM20rKirSkSNH1LVrV2VlZWnQoEGSpIEDB+r2229XSkqKjh07Jl9fX5WXl8tqtWr58uW64447lJeXp4iICH366afq06fPOdV42WWXacyYMXr00Uf11VdfqWvXrvr888/Vo0cPSdKpU6fUsWNHzZs3T3fddZc+/PBDjRo1SseOHVNAQIAkqbi4WG3bttWHH36oxMTEnz1mSUmJAgMDpdDZkpfvOdX/a2bkz2npEgAAAIAWVZMNiouL3fmiObDy24QKCwuVkZGh5OTkWsFXkqxWq2JiYhQSEiKn0ylJKi0tVU5OjsaPH6/w8HBlZWVJkrZu3aqKiopaK7/nwjAMZWZmas+ePRo6dKgkqaKiQpLk6/t/gdTLy0s+Pj7avHmze4zFYpGPj497jK+vr7y8vNxjfqqiokIlJSWmBgAAAAAthfDbhPbu3SvDMBQbG3vGcQ6Hw32L86ZNmxQTE6Pg4GANHTrU3e9yuRQREaGwsDDT3Pj4ePn7+5vazykuLpa/v78uvPBCjRkzRkuXLtWwYcMkSbGxsercubNmzZqlY8eOqbKyUgsXLtR3332nQ4cOSZIGDRokPz8/PfTQQzpx4oTKyso0ffp0nTx50j3mp+bPn6/AwEB3s9lsP1snAAAAAJwvhN8m1NA7yBMSErRlyxZVVVXJ5XIpISFBkmS3203ht65V3zVr1ig3N9fUJCk/P98UiOfNm+ee06ZNG+Xm5mrHjh16/PHH9eCDD7qP06pVK73xxhv66quvFBQUpIsuukhOp1OjRo2Sl9fpX4/g4GC99tpreuedd+Tv76/AwEAVFRXpsssuc4/5qVmzZqm4uNjd9u/f36BrAwAAAADng3dLF+BJunTpIovFot27d59xnMPhUFlZmXbs2CGn06kZM2ZIOh1+J02apMLCQmVnZ2vy5Mm15tpsNkVHR9fqDwkJcQdh6fSLrmp4eXm55/Tp00e7du3S/Pnz3aE7Li5Oubm5Ki4uVmVlpYKDgzVw4ED169fPvY/hw4dr3759+u9//ytvb29ZrVZ17NhRkZGRdZ6jj4+P6TZpAAAAAGhJrPw2oaCgII0YMUJpaWnuNyX/WFFRkSQpKipKNptNa9euVW5urux2uyQpNDRUoaGhWrJkiSorKxv1vK+3t7eio6Pd7cfh96dOnTrlftb3xwIDAxUcHKyvv/5aH3/8sa655ppaYy6++GJZrVZt3LhRR44c0dixYxtcIwAAAAC0FFZ+m1haWpoGDx6sAQMGaO7cuerdu7eqq6u1fv16paena9euXZJOr/4uW7ZM0dHR6tChg3u+3W7X0qVL3S/G+qmjR4+qoKDA1Ge1Wk0vrPqx+fPnq1+/foqKilJFRYXef/99rVq1Sunp6e4xr732moKDg9W5c2ft3LlT999/v6699loNHz7cPWblypXq1q2bgoODlZWVpfvvv1/Tpk1T165dz+l6AQAAAEBzIPw2scjISOXk5Ojxxx9XSkqKDh06pODgYMXFxZkCp8Ph0EsvveS+9biG3W7XypUrdfPNN9e5/7o+K/TKK69owoQJdY4vKyvTlClT9N1336l169aKjY3Vyy+/rBtvvNE95tChQ3rwwQd1+PBhderUSbfddpvmzDF/kmfPnj2aNWuWCgsLFR4erj//+c+aNm1aQy8LAAAAALQovvOLZsF3fk/jO78AAAD4reM7vwAAAAAAnCeEXwAAAACAxyP8AgAAAAA8HuEXAAAAAODxeNszmlXxlw8160PtAAAAACCx8gsAAAAA+A0g/AIAAAAAPB7hFwAAAADg8Qi/AAAAAACPR/gFAAAAAHg83vaMZhXYfaHk5dvSZfwqGflzWroEAAAA4FeLlV8AAAAAgMcj/AIAAAAAPB7hFwAAAADg8Qi/AAAAAACPR/gFAAAAAHg8wi8AAAAAwOMRfltIQUGBpk6dqsjISPn4+MhmsykpKUmZmZmaMGGCRo4caRqfkZEhi8Wi1NRUU39qaqo6d+4sScrLy5PFYqmzbdu2rd5aqqqqNHfuXEVFRcnX11eXXnqpMjIy6h2/YMECWSwWPfDAA2d9/gAAAADQnPjObwvIy8vT4MGDZbVatWjRIvXq1UtVVVVat26dkpOTNW3aNE2fPl3V1dXy9j79n8jpdMpms8nlcpn25XQ65XA4TH0bNmxQjx49TH3t2rWrt56HH35YL7/8sp5//nnFxsZq3bp1uu6667R161b17dvXNHbHjh36+9//rt69e5/DFQAAAACA5sXKbwuYMmWKLBaLtm/frnHjxikmJkY9evTQgw8+qG3btsnhcOj48eP6+OOP3XNcLpdmzpyp7OxslZeXS5LKy8uVnZ1dK/y2a9dOHTt2NLVWrVrVW8+qVas0e/ZsjR49WpGRkfrjH/+o0aNHa8mSJaZxx48f1y233KLnn39ebdu2bcIrAgAAAADnF+G3mRUWFiojI0PJycny8/Ortd1qtSomJkYhISFyOp2SpNLSUuXk5Gj8+PEKDw9XVlaWJGnr1q2qqKioFX4bq6KiQr6+vqa+1q1ba/Pmzaa+5ORkjRkzRomJiQ3aZ0lJiakBAAAAQEsh/DazvXv3yjAMxcbGnnGcw+Fw3+K8adMmxcTEKDg4WEOHDnX3u1wuRUREKCwszDQ3Pj5e/v7+pnYmI0aM0JNPPqmvv/5ap06d0vr16/XGG2/o0KFD7jGvvvqqcnJyNH/+/Aad5/z58xUYGOhuNputQfMAAAAA4Hwg/DYzwzAaNC4hIUFbtmxRVVWVXC6XEhISJEl2u90Ufuta9V2zZo1yc3NNTZLy8/NNgXjevHmSpGeeeUZdunRRbGysLrzwQt17772aOHGivLxO/3rs379f999/v/71r3/VWiGuz6xZs1RcXOxu+/fvb9A8AAAAADgfeOFVM+vSpYssFot27959xnEOh0NlZWXasWOHnE6nZsyYIel0+J00aZIKCwuVnZ2tyZMn15prs9kUHR1dqz8kJMQdhCUpKChIkhQcHKy33npL5eXlOnr0qEJCQjRz5kxFRkZKkj755BMdOXJEl112mXvuyZMn9e9//1vPPvusKioqdMEFF5iO5ePjIx8fn4ZdFAAAAAA4zwi/zSwoKEgjRoxQWlqa7rvvvlrP/RYVFclqtSoqKko2m01r165Vbm6u7Ha7JCk0NFShoaFasmSJKisrG/W8r7e3d52huIavr69CQ0NVVVWl119/XTfccIMk6aqrrtLOnTtNYydOnKjY2Fg99NBDtYIvAAAAAPzSEH5bQFpamgYPHqwBAwZo7ty56t27t6qrq7V+/Xqlp6dr165dkk6v/i5btkzR0dHq0KGDe77dbtfSpUvdL8b6qaNHj6qgoMDUZ7Va671lOTs7WwcOHFCfPn104MABpaam6tSpU/rTn/4kSWrTpo169uxpmuPn56d27drV6gcAAACAXyKe+W0BkZGRysnJkcPhUEpKinr27Klhw4YpMzNT6enp7nEOh0OlpaXu531r2O12lZaW1rvqm5iYqE6dOpnaW2+9VW895eXlevjhh9W9e3ddd911Cg0N1ebNm2W1WpvgbAEAAACg5VmMhr6BCTgHJSUlCgwMlEJnS14Ne2kWzIz8OS1dAgAAAHDOarJBcXGxAgICmu24rPwCAAAAADwe4RcAAAAA4PEIvwAAAAAAj0f4BQAAAAB4PD51hGZV/OVDzfpQOwAAAABIrPwCAAAAAH4DCL8AAAAAAI9H+AUAAAAAeDzCLwAAAADA4xF+AQAAAAAej7c9o1kFdl8oefm2dBm/akb+nJYuAQAAAPjVYeUXAAAAAODxCL8AAAAAAI9H+AUAAAAAeDzCLwAAAADA4xF+AQAAAAAej/ALAAAAAPB4hN/zoKCgQFOnTlVkZKR8fHxks9mUlJSkzMxMTZgwQSNHjjSNz8jIkMViUWpqqqk/NTVVnTt3liTl5eXJYrHU2bZt21ZvLc8//7yuuOIKtW3bVm3btlViYqK2b99uGnP8+HHde++9uuSSS9S6dWt1795dy5cvd28/07Ffe+21c7xaAAAAAHD+8Z3fJpaXl6fBgwfLarVq0aJF6tWrl6qqqrRu3TolJydr2rRpmj59uqqrq+XtffryO51O2Ww2uVwu076cTqccDoepb8OGDerRo4epr127dvXW43K5dNNNNyk+Pl6+vr5auHChhg8fri+++EKhoaGSpAcffFAbN27Uyy+/rPDwcH344YeaMmWKQkJCNHbsWNlsNh06dMi03+eee06LFi3SqFGjzvZSAQAAAECzsRiGYbR0EZ5k9OjR+uyzz7Rnzx75+fmZthUVFenIkSPq2rWrsrKyNGjQIEnSwIEDdfvttyslJUXHjh2Tr6+vysvLZbVatXz5ct1xxx3Ky8tTRESEPv30U/Xp0+es6zt58qTatm2rZ599VrfddpskqWfPnrrxxhs1Z84c97i4uDiNGjVKjz32WJ376du3ry677DKtWLGiQcctKSlRYGCgFDpb8vI96/ohGflzfn4QAAAA8AtVkw2Ki4sVEBDQbMfltucmVFhYqIyMDCUnJ9cKvpJktVoVExOjkJAQOZ1OSVJpaalycnI0fvx4hYeHKysrS5K0detWVVRU1Fr5PVcnTpxQVVWVgoKC3H3x8fFau3atDhw4IMMw5HQ69dVXX2n48OF17uOTTz5Rbm6u7rzzznqPU1FRoZKSElMDAAAAgJZC+G1Ce/fulWEYio2NPeM4h8PhvsV506ZNiomJUXBwsIYOHerud7lcioiIUFhYmGlufHy8/P39Ta0xHnroIYWEhCgxMdHdt3TpUnXv3l2XXHKJLrzwQo0cOVJpaWkaOnRonftYsWKFunXrpvj4+HqPM3/+fAUGBrqbzWZrVJ0AAAAA0JQIv02ooXeQJyQkaMuWLaqqqpLL5VJCQoIkyW63m8JvXau+a9asUW5urqlJUn5+vikQz5s3r9bcBQsW6NVXX9Wbb74pX9//u/V46dKl2rZtm9auXatPPvlES5YsUXJysjZs2FBrHz/88INWr159xlVfSZo1a5aKi4vdbf/+/Q26NgAAAABwPvDCqybUpUsXWSwW7d69+4zjHA6HysrKtGPHDjmdTs2YMUPS6fA7adIkFRYWKjs7W5MnT64112azKTo6ulZ/SEiIOwhLMt3WLEmLFy/WggULtGHDBvXu3dvd/8MPP2j27Nl68803NWbMGElS7969lZubq8WLF5tWiCXpf//3f3XixAn388L18fHxkY+PzxnHAAAAAEBzYeW3CQUFBWnEiBFKS0tTWVlZre1FRUWSpKioKNlsNq1du1a5ubmy2+2SpNDQUIWGhmrJkiWqrKxs1PO+3t7eio6Odrcfh98nnnhCjz76qDIyMtSvXz/TvKqqKlVVVcnLy/yrcMEFF+jUqVO1jrNixQqNHTtWwcHBDa4NAAAAAFoaK79NLC0tTYMHD9aAAQM0d+5c9e7dW9XV1Vq/fr3S09O1a9cuSadXf5ctW6bo6Gh16NDBPd9ut2vp0qXuF2P91NGjR1VQUGDqs1qtptuYf2zhwoX6y1/+otWrVys8PNw9t+b26ICAANntds2YMUOtW7dWWFiYPvroI7300kt68sknTfvau3ev/v3vf+v9998/p2sEAAAAAM2Nld8mFhkZqZycHDkcDqWkpKhnz54aNmyYMjMzlZ6e7h7ncDhUWlrqft63ht1uV2lpab2rvomJierUqZOpvfXWW/XWk56ersrKSl1//fWmOYsXL3aPefXVV9W/f3/dcsst6t69uxYsWKDHH39cf/jDH0z7+uc//6lLLrmk3rdAAwAAAMAvFd/5RbPgO79Nh+/8AgAA4NeM7/wCAAAAAHCeEH4BAAAAAB6P8AsAAAAA8HiEXwAAAACAx+NTR2hWxV8+1KwPtQMAAACAxMovAAAAAOA3gPALAAAAAPB4hF8AAAAAgMcj/AIAAAAAPB7hFwAAAADg8XjbM5pVYPeFkpdvS5fhcYz8OS1dAgAAAPCLxsovAAAAAMDjEX4BAAAAAB6P8AsAAAAA8HiEXwAAAACAxyP8AgAAAAA8HuEXAAAAAODxCL8tpKCgQFOnTlVkZKR8fHxks9mUlJSkzMxMTZgwQSNHjjSNz8jIkMViUWpqqqk/NTVVnTt3liTl5eXJYrHU2bZt21ZvLQkJCXXOGTNmjHvM8ePHde+99+qSSy5R69at1b17dy1fvrzpLggAAAAAnEd857cF5OXlafDgwbJarVq0aJF69eqlqqoqrVu3TsnJyZo2bZqmT5+u6upqeXuf/k/kdDpls9nkcrlM+3I6nXI4HKa+DRs2qEePHqa+du3a1VvPG2+8ocrKSvfPR48e1aWXXqrx48e7+x588EFt3LhRL7/8ssLDw/Xhhx9qypQpCgkJ0dixY8/2UgAAAABAsyD8toApU6bIYrFo+/bt8vPzc/f36NFDkyZN0pEjR3T8+HF9/PHHGjRokCTJ5XJp5syZSklJUXl5uXx9fVVeXq7s7GxNnDjRtP927dqpY8eODa4nKCjI9POrr76qiy66yBR+t27dqttvv10JCQmSpHvuuUd///vftX37dsIvAAAAgF88bntuZoWFhcrIyFBycrIp+NawWq2KiYlRSEiInE6nJKm0tFQ5OTkaP368wsPDlZWVJel0IK2oqKi18nuuVqxYoQkTJpjqi4+P19q1a3XgwAEZhiGn06mvvvpKw4cPr3MfFRUVKikpMTUAAAAAaCmE32a2d+9eGYah2NjYM45zOBzuW5w3bdqkmJgYBQcHa+jQoe5+l8uliIgIhYWFmebGx8fL39/f1Bpq+/bt+vzzz3XXXXeZ+pcuXaru3bvrkksu0YUXXqiRI0cqLS1NQ4cOrXM/8+fPV2BgoLvZbLYG1wAAAAAATY3w28wMw2jQuISEBG3ZskVVVVVyuVzu243tdrsp/Na16rtmzRrl5uaamiTl5+ebAvG8efNqzV2xYoV69eqlAQMGmPqXLl2qbdu2ae3atfrkk0+0ZMkSJScna8OGDXXWP2vWLBUXF7vb/v37G3TeAAAAAHA+8MxvM+vSpYssFot27959xnEOh0NlZWXasWOHnE6nZsyYIel0+J00aZIKCwuVnZ2tyZMn15prs9kUHR1dqz8kJMQdhKXaz/qWlZXp1Vdf1dy5c039P/zwg2bPnq0333zT/Qbo3r17Kzc3V4sXL1ZiYmKtY/n4+MjHx+eM5wgAAAAAzYWV32YWFBSkESNGKC0tTWVlZbW2FxUVSZKioqJks9m0du1a5ebmym63S5JCQ0MVGhqqJUuWqLKyslHP+3p7eys6Otrdfhp+X3vtNVVUVOj3v/+9qb+qqkpVVVXy8jL/ulxwwQU6depUg48PAAAAAC2F8NsC0tLSdPLkSQ0YMECvv/66vv76a+3atUt/+9vfdPnll7vHORwOLVu2TNHR0erQoYO73263a+nSpe4XY/3U0aNHVVBQYGrl5eU/W9eKFSt07bXX1vosUkBAgOx2u2bMmCGXy6Vvv/1WL7zwgl566SVdd91153AlAAAAAKB5EH5bQGRkpHJycuRwOJSSkqKePXtq2LBhyszMVHp6unucw+FQaWmp+3nfGna7XaWlpfWu+iYmJqpTp06m9tZbb52xpj179mjz5s26884769z+6quvqn///rrlllvUvXt3LViwQI8//rj+8Ic/NOrcAQAAAKAlWIyGvoEJOAclJSUKDAyUQmdLXr4tXY7HMfLntHQJAAAAQIPUZIPi4mIFBAQ023FZ+QUAAAAAeDzCLwAAAADA4xF+AQAAAAAej/ALAAAAAPB4hF8AAAAAgMfzbukC8NtS/OVDzfpGNwAAAACQWPkFAAAAAPwGEH4BAAAAAB6P8AsAAAAA8HiEXwAAAACAx+OFV2hWgd0XSl6+LV0G6mDkz2npEgAAAIDzhpVfAAAAAIDHI/wCAAAAADwe4RcAAAAA4PEIvwAAAAAAj0f4BQAAAAB4PMIvAAAAAMDjEX4BAAAAAB6P8HseFBQUaOrUqYqMjJSPj49sNpuSkpKUmZmpCRMmaOTIkabxGRkZslgsSk1NNfWnpqaqc+fOkqS8vDxZLJY627Zt2xpU16uvviqLxaJrr73W1P/GG29o+PDhateunSwWi3Jzc+ucn5WVpSuvvFJ+fn4KCAjQ0KFD9cMPPzTo2AAAAADQkrxbugBPk5eXp8GDB8tqtWrRokXq1auXqqqqtG7dOiUnJ2vatGmaPn26qqur5e19+vI7nU7ZbDa5XC7TvpxOpxwOh6lvw4YN6tGjh6mvXbt2Dapr+vTpuuKKK2ptKysr05AhQ3TDDTfo7rvvrnN+VlaWRo4cqVmzZmnp0qXy9vbW//t//09eXvz7CQAAAIBfPsJvE5syZYosFou2b98uPz8/d3+PHj00adIkHTlyRMePH9fHH3+sQYMGSZJcLpdmzpyplJQUlZeXy9fXV+Xl5crOztbEiRNN+2/Xrp06duzYqJpOnjypW265RY888og2bdqkoqIi0/Zbb71V0umAXJ9p06bpvvvu08yZM919Xbt2rXd8RUWFKioq3D+XlJQ0qmYAAAAAaEos2zWhwsJCZWRkKDk52RR8a1itVsXExCgkJEROp1OSVFpaqpycHI0fP17h4eHKysqSJG3dulUVFRW1Vn7Pxty5c9W+fXvdeeedZzX/yJEjys7OVvv27RUfH68OHTrIbrdr8+bN9c6ZP3++AgMD3c1ms51t+QAAAABwzgi/TWjv3r0yDEOxsbFnHOdwONy3OG/atEkxMTEKDg7W0KFD3f0ul0sREREKCwszzY2Pj5e/v7+pncnmzZu1YsUKPf/882d9Xt98842k088g33333crIyNBll12mq666Sl9//XWdc2bNmqXi4mJ3279//1kfHwAAAADOFeG3CRmG0aBxCQkJ2rJli6qqquRyuZSQkCBJstvtpvBb16rvmjVrlJuba2qSlJ+fbwrE8+bNU2lpqW699VY9//zzuvjii8/6vE6dOiVJmjx5siZOnKi+ffvqqaeeUteuXfXPf/6zzjk+Pj4KCAgwNQAAAABoKTzz24S6dOkii8Wi3bt3n3Gcw+FQWVmZduzYIafTqRkzZkg6HX4nTZqkwsJCZWdna/LkybXm2mw2RUdH1+oPCQkxvaU5KChI+/btU15enpKSktz9NUHW29tbe/bsUVRU1M+eV6dOnSRJ3bt3N/V369ZN+fn5PzsfAAAAAFoa4bcJBQUFacSIEUpLS9N9991X67nfoqIiWa1WRUVFyWazae3atcrNzZXdbpckhYaGKjQ0VEuWLFFlZWWjnvf19vauFYovuugi7dy509T38MMPq7S0VM8880yDn8MNDw9XSEiI9uzZY+r/6quvNGrUqAbXCAAAAAAthfDbxNLS0jR48GANGDBAc+fOVe/evVVdXa3169crPT1du3btknR69XfZsmWKjo5Whw4d3PPtdruWLl3qfjHWTx09elQFBQWmPqvVKl9f31pjfX191bNnz1pjJZn6CwsLlZ+fr4MHD0qSO+R27NhRHTt2lMVi0YwZM/TXv/5Vl156qfr06aMXX3xRu3fv1v/+7/+exVUCAAAAgObFM79NLDIyUjk5OXI4HEpJSVHPnj01bNgwZWZmKj093T3O4XCotLTU/bxvDbvdrtLS0npXfRMTE9WpUydTe+utt86p5rVr16pv374aM2aMJGnChAnq27evli9f7h7zwAMPaNasWZo2bZouvfRSZWZmav369Q26bRoAAAAAWprFaOhbmoBzUFJSosDAQCl0tuRVe5UaLc/In9PSJQAAAOA3oCYbFBcXN+uLcVn5BQAAAAB4PMIvAAAAAMDjEX4BAAAAAB6P8AsAAAAA8Hh86gjNqvjLh5r1oXYAAAAAkFj5BQAAAAD8BhB+AQAAAAAer1Hhd/v27Tp58mS92ysqKvQ///M/51wUAAAAAABNqVHh9/LLL9fRo0fdPwcEBOibb75x/1xUVKSbbrqp6aoDAAAAAKAJNOqFV4ZhnPHn+vqAGoHdF0pevi1dBn4hjPw5LV0CAAAAfiOa/Jlfi8XS1LsEAAAAAOCc8MIrAAAAAIDHa/R3fr/88ksVFBRIOn2L8+7du3X8+HFJ0n//+9+mrQ4AAAAAgCbQ6PB71VVXmZ7rvfrqqyWdvt3ZMAxuewYAAAAA/OI0Kvx+++2356sOAAAAAADOm0aF37CwsPNVBwAAAAAA502jXngVFhamiRMn6qWXXtL+/fvPV00AAAAAADSpRoXfiRMn6ttvv9XkyZMVHh6u6Oho3X333XrllVfcL8GCVFBQoKlTpyoyMlI+Pj6y2WxKSkpSZmamJkyYoJEjR5rGZ2RkyGKxKDU11dSfmpqqzp07S5Ly8vJksVjqbNu2bau3lueff15XXHGF2rZtq7Zt2yoxMVHbt2+vNW7Xrl0aO3asAgMD5efnp/79+ys/P7/WOMMwNGrUKFksFr311luNvzgAAAAA0AIaddtzTTirqKjQli1b9NFHH8nlcmnVqlWqqqpSTEyMrrzySqWlpZ2PWn8V8vLyNHjwYFmtVi1atEi9evVSVVWV1q1bp+TkZE2bNk3Tp09XdXW1vL1PX36n0ymbzSaXy2Xal9PplMPhMPVt2LBBPXr0MPW1a9eu3npcLpduuukmxcfHy9fXVwsXLtTw4cP1xRdfKDQ0VJK0b98+DRkyRHfeeaceeeQRBQQE6IsvvpCvr2+t/T399NO81AwAAADAr47F+PGrm8/SsWPHtGTJEi1dulTHjx/XyZMnm6K2X6XRo0frs88+0549e+Tn52faVlRUpCNHjqhr167KysrSoEGDJEkDBw7U7bffrpSUFB07dky+vr4qLy+X1WrV8uXLdccddygvL08RERH69NNP1adPn7Ou7+TJk2rbtq2effZZ3XbbbZKkCRMmqFWrVlq1atUZ5+bm5urqq6/Wxx9/rE6dOunNN9/Utdde26DjlpSUKDAwUAqdLXnVDtX4bTLy57R0CQAAAGhmNdmguLhYAQEBzXbcRt32XKOyslIfffSRHnnkETkcDoWGhmrNmjW6/vrrtXLlyqau8VejsLBQGRkZSk5OrhV8JclqtSomJkYhISFyOp2SpNLSUuXk5Gj8+PEKDw9XVlaWJGnr1q2qqKiotfJ7rk6cOKGqqioFBQVJkk6dOqX33ntPMTExGjFihNq3b6+BAwfWuqX5xIkTuvnmm5WWlqaOHTv+7HEqKipUUlJiagAAAADQUhoVfufOnasrr7xSbdu21R//+EcdOnRI99xzj/bu3auvv/5aK1ascK8m/hbt3btXhmEoNjb2jOMcDof7FudNmzYpJiZGwcHBGjp0qLvf5XIpIiKi1hu24+Pj5e/vb2qN8dBDDykkJESJiYmSpCNHjuj48eNasGCBRo4cqQ8//FDXXXedfve73+mjjz5yz5s2bZri4+N1zTXXNOg48+fPV2BgoLvZbLZG1QkAAAAATanRz/x27txZS5Ys0fjx48/4rOlvUUPvIE9ISNADDzygqqoquVwuJSQkSJLsdrv+/ve/Szodfuta9V2zZo26detWqz8/P1/du3d3/zx79mzNnj3bNGbBggV69dVX5XK53M/znjp1SpJ0zTXXaNq0aZKkPn36aOvWrVq+fLnsdrvWrl2rjRs36tNPP23Q+UnSrFmz9OCDD7p/LikpIQADAAAAaDGNCr8ffPCBnE6nXnjhBd1///2KiYlRQkKC7Ha77Ha7goODz1edvwpdunSRxWLR7t27zzjO4XCorKxMO3bskNPp1IwZMySdDr+TJk1SYWGhsrOzNXny5FpzbTaboqOja/WHhIQoNzfX/XPNbc01Fi9erAULFmjDhg3q3bu3u//iiy+Wt7e3KThLUrdu3bR582ZJ0saNG7Vv3z5ZrVbTmHHjxumKK66o9aIuSfLx8ZGPj88ZrwMAAAAANJdGhd8RI0ZoxIgRkk4/q7pp0yZ99NFHeuKJJ3TLLbcoOjpaDodDzz777Hkp9pcuKChII0aMUFpamu677746X3hltVoVFRUlm82mtWvXKjc3V3a7XZIUGhqq0NBQLVmyRJWVlY163tfb27vOUCxJTzzxhB5//HGtW7dO/fr1M2278MIL1b9/f+3Zs8fU/9VXX7lvuZ45c6buuusu0/ZevXrpqaeeUlJSUoNrBAAAAICW0qjw+2Nt2rTR6NGjNWLECG3fvl1r167VsmXLlJ6e/psNv5KUlpamwYMHa8CAAZo7d6569+6t6upqrV+/Xunp6dq1a5ek06u/y5YtU3R0tDp06OCeb7fbtXTpUveLsX7q6NGjtb6pbLVa6/wskSQtXLhQf/nLX7R69WqFh4e75/74eeEZM2boxhtv1NChQ+VwOJSRkaF33nnHvaLbsWPHOl9y1blzZ0VERDT+IgEAAABAM2v0255PnTql7du3a+HChRo1apTatm2rIUOGaPXq1bruuuv0z3/+83zU+asRGRmpnJwcORwOpaSkqGfPnho2bJgyMzOVnp7uHudwOFRaWup+3reG3W5XaWlpvau+iYmJ6tSpk6n99M3MP5aenq7Kykpdf/31pjmLFy92j7nuuuu0fPlyPfHEE+rVq5f+8Y9/6PXXX9eQIUPO6VoAAAAAwC9Fo77zO2rUKG3dulWlpaUKCQmRw+FQQkKCHA6HIiMjz2ed+JXjO7+oC9/5BQAA+O1pqe/8Nuq2Z6vVqsWLFyshIUFdunQ5XzUBAAAAANCkGnXb8913362nnnrK9IxqjeLiYvXo0UObNm1qsuIAAAAAAGgKjQq/zzzzjO655546l6YDAwM1efJkPfnkk01WHAAAAAAATaFR4ffTTz91f+qoLsOHD9cnn3xyzkUBAAAAANCUGvXM75EjR9SqVav6d+btre+///6ci4LnKv7yoWZ9qB0AAAAApEau/IaGhurzzz+vd/tnn32mTp06nXNRAAAAAAA0pUaF39GjR2vOnDkqLy+vte2HH37QX//6V1199dVNVhwAAAAAAE2hUd/5PXz4sC677DJdcMEFuvfee9W1a1dJ0u7du5WWlqaTJ08qJyenzrdB47etpb7lBQAAAOCX5Vfxnd8OHTpo69at+uMf/6hZs2apJjdbLBaNGDFCaWlpBF8AAAAAwC9Oo8KvJIWFhen999/XsWPHtHfvXhmGoS5duqht27bnoz4AAAAAAM5Zo8NvjbZt26p///5NWQt+AwK7L5S8fFu6DPyKGflzWroEAAAA/Ao16oVXAAAAAAD8GhF+AQAAAAAej/ALAAAAAPB4hF8AAAAAgMcj/AIAAAAAPB7hFwAAAADg8Qi/50FBQYGmTp2qyMhI+fj4yGazKSkpSZmZmZowYYJGjhxpGp+RkSGLxaLU1FRTf2pqqjp37ixJysvLk8ViqbNt27at3lreeOMN9evXT1arVX5+furTp49WrVplGnPHHXfU2uePa8zLy9Odd96piIgItW7dWlFRUfrrX/+qysrKc7xSAAAAANA8zvo7v6hbXl6eBg8eLKvVqkWLFqlXr16qqqrSunXrlJycrGnTpmn69Omqrq6Wt/fpy+90OmWz2eRyuUz7cjqdcjgcpr4NGzaoR48epr527drVW09QUJD+/Oc/KzY2VhdeeKHeffddTZw4Ue3bt9eIESPc40aOHKmVK1e6f/bx8XH/effu3Tp16pT+/ve/Kzo6Wp9//rnuvvtulZWVafHixY2+RgAAAADQ3Ai/TWzKlCmyWCzavn27/Pz83P09evTQpEmTdOTIER0/flwff/yxBg0aJElyuVyaOXOmUlJSVF5eLl9fX5WXlys7O1sTJ0407b9du3bq2LFjg+tJSEgw/Xz//ffrxRdf1ObNm03h18fHp979jhw50rQSHBkZqT179ig9PZ3wCwAAAOBXgduem1BhYaEyMjKUnJxsCr41rFarYmJiFBISIqfTKUkqLS1VTk6Oxo8fr/DwcGVlZUmStm7dqoqKilorv+fCMAxlZmZqz549Gjp0qGmby+VS+/bt1bVrV/3xj3/U0aNHz7iv4uJiBQUF1bu9oqJCJSUlpgYAAAAALYXw24T27t0rwzAUGxt7xnEOh8N9i/OmTZsUExOj4OBgDR061N3vcrkUERGhsLAw09z4+Hj5+/ub2s8pLi6Wv7+/LrzwQo0ZM0ZLly7VsGHD3NtHjhypl156SZmZmVq4cKE++ugjjRo1SidPnqz3PJcuXarJkyfXe8z58+crMDDQ3Ww228/WCQAAAADnC7c9NyHDMBo0LiEhQQ888ICqqqrkcrnctybb7Xb9/e9/l3Q6/Na16rtmzRp169atVn9+fr66d+/u/nn27NmaPXu2JKlNmzbKzc3V8ePHlZmZqQcffFCRkZHu406YMME9r1evXurdu7eioqLkcrl01VVXmY5z4MABjRw5UuPHj9fdd99d7znOmjVLDz74oPvnkpISAjAAAACAFkP4bUJdunSRxWLR7t27zzjO4XCorKxMO3bskNPp1IwZMySdDr+TJk1SYWGhsrOz61xZtdlsio6OrtUfEhKi3Nxc988/viXZy8vLPadPnz7atWuX5s+fX+t54BqRkZG6+OKLtXfvXlP4PXjwoBwOh+Lj4/Xcc8+d8Rx9fHxML80CAAAAgJbEbc9NKCgoSCNGjFBaWprKyspqbS8qKpIkRUVFyWazae3atcrNzZXdbpckhYaGKjQ0VEuWLFFlZWWjnvf19vZWdHS0u53pedxTp06poqKi3u3fffedjh49qk6dOrn7Dhw4oISEBMXFxWnlypXy8uJXBwAAAMCvByu/TSwtLU2DBw/WgAEDNHfuXPXu3VvV1dVav3690tPTtWvXLkmnV3+XLVum6OhodejQwT3fbrdr6dKl7hdj/dTRo0dVUFBg6rNarfL19a2znvnz56tfv36KiopSRUWF3n//fa1atUrp6emSpOPHj+uRRx7RuHHj1LFjR+3bt09/+tOfFB0d7X4bdE3wDQsL0+LFi/X999+799+YN08DAAAAQEsh/DaxyMhI5eTk6PHHH1dKSooOHTqk4OBgxcXFuQOndDr8vvTSS7VuPbbb7Vq5cqVuvvnmOvefmJhYq++VV14xPbf7Y2VlZZoyZYq+++47tW7dWrGxsXr55Zd14403SpIuuOACffbZZ3rxxRdVVFSkkJAQDR8+XI8++qj7tuX169dr79692rt3ry655BLT/hv6nDMAAAAAtCSLQXpBMygpKVFgYKAUOlvyqnuVGmgII39OS5cAAACAc1CTDYqLixUQENBsx+XBTQAAAACAxyP8AgAAAAA8HuEXAAAAAODxCL8AAAAAAI/H257RrIq/fKhZH2oHAAAAAImVXwAAAADAbwDhFwAAAADg8Qi/AAAAAACPR/gFAAAAAHg8wi8AAAAAwOPxtmc0q8DuCyUv35YuAx7IyJ/T0iUAAADgF4yVXwAAAACAxyP8AgAAAAA8HuEXAAAAAODxCL8AAAAAAI9H+AUAAAAAeDzCLwAAAADA4xF+z4OCggJNnTpVkZGR8vHxkc1mU1JSkjIzMzVhwgSNHDnSND4jI0MWi0Wpqamm/tTUVHXu3FmSlJeXJ4vFUmfbtm1bvbV88cUXGjdunMLDw2WxWPT000/XGjN//nz1799fbdq0Ufv27XXttddqz549pjEJCQm1jvuHP/zh7C4QAAAAADQzwm8Ty8vLU1xcnDZu3KhFixZp586dysjIkMPhUHJyshwOh7Zs2aLq6mr3HKfTKZvNJpfLZdqX0+mUw+Ew9W3YsEGHDh0ytbi4uHrrOXHihCIjI7VgwQJ17NixzjEfffSRkpOTtW3bNq1fv15VVVUaPny4ysrKTOPuvvtu03GfeOKJRl4dAAAAAGgZ3i1dgKeZMmWKLBaLtm/fLj8/P3d/jx49NGnSJB05ckTHjx/Xxx9/rEGDBkmSXC6XZs6cqZSUFJWXl8vX11fl5eXKzs7WxIkTTftv165dvSG2Lv3791f//v0lSTNnzqxzTEZGhunnF154Qe3bt9cnn3yioUOHuvsvuuiiRh0bAAAAAH4pWPltQoWFhcrIyFBycrIp+NawWq2KiYlRSEiInE6nJKm0tFQ5OTkaP368wsPDlZWVJUnaunWrKioqaq38Nofi4mJJUlBQkKn/X//6ly6++GL17NlTs2bN0okTJ+rdR0VFhUpKSkwNAAAAAFoK4bcJ7d27V4ZhKDY29ozjHA6H+xbnTZs2KSYmRsHBwRo6dKi73+VyKSIiQmFhYaa58fHx8vf3N7WmdOrUKT3wwAMaPHiwevbs6e6/+eab9fLLL8vpdGrWrFlatWqVfv/739e7n/nz5yswMNDdbDZbk9YJAAAAAI3Bbc9NyDCMBo1LSEjQAw88oKqqKrlcLiUkJEiS7Ha7/v73v0s6HX7rWvVds2aNunXrVqs/Pz9f3bt3d/88e/ZszZ49u9HnkJycrM8//1ybN2829d9zzz3uP/fq1UudOnXSVVddpX379ikqKqrWfmbNmqUHH3zQ/XNJSQkBGAAAAECLIfw2oS5dushisWj37t1nHOdwOFRWVqYdO3bI6XRqxowZkk6H30mTJqmwsFDZ2dmaPHlyrbk2m03R0dG1+kNCQpSbm+v++ae3LDfEvffeq3fffVf//ve/dckll5xx7MCBAyWdXu2uK/z6+PjIx8en0TUAAAAAwPnAbc9NKCgoSCNGjFBaWlqtNyVLUlFRkSQpKipKNptNa9euVW5urux2uyQpNDRUoaGhWrJkiSorKxv1vK+3t7eio6PdrTHh1zAM3XvvvXrzzTe1ceNGRURE/OycmqDdqVOnBh8HAAAAAFoKK79NLC0tTYMHD9aAAQM0d+5c9e7dW9XV1Vq/fr3S09O1a9cuSadXf5ctW6bo6Gh16NDBPd9ut2vp0qXuF2P91NGjR1VQUGDqs1qt8vX1rbOeyspKffnll+4/HzhwQLm5ufL393evICcnJ2v16tV6++231aZNG/f+AwMD1bp1a+3bt0+rV6/W6NGj1a5dO3322WeaNm2ahg4dqt69e5/7RQMAAACA84yV3yYWGRmpnJwcORwOpaSkqGfPnho2bJgyMzOVnp7uHudwOFRaWup+3reG3W5XaWlpvau+iYmJ6tSpk6m99dZb9dZz8OBB9e3bV3379tWhQ4e0ePFi9e3bV3fddZd7THp6uoqLi5WQkGDa75o1ayRJF154oTZs2KDhw4crNjZWKSkpGjdunN55552zv1AAAAAA0IwsRkPf0gScg5KSEgUGBkqhsyWvulepgXNh5M9p6RIAAADQADXZoLi4WAEBAc12XFZ+AQAAAAAej/ALAAAAAPB4hF8AAAAAgMcj/AIAAAAAPB6fOkKzKv7yoWZ9qB0AAAAAJFZ+AQAAAAC/AYRfAAAAAIDHI/wCAAAAADwe4RcAAAAA4PEIvwAAAAAAj8fbntGsArsvlLx8W7oMeCAjf05LlwAAAIBfMFZ+AQAAAAAej/ALAAAAAPB4hF8AAAAAgMcj/AIAAAAAPB7hFwAAAADg8Qi/AAAAAACPR/gFAAAAAHg8wm8LKSgo0NSpUxUZGSkfHx/ZbDYlJSUpMzNTEyZM0MiRI03jMzIyZLFYlJqaaupPTU1V586dJUl5eXmyWCx1tm3bttVby/PPP68rrrhCbdu2Vdu2bZWYmKjt27e7t1dVVemhhx5Sr1695Ofnp5CQEN122206ePBg010QAAAAADiPCL8tIC8vT3Fxcdq4caMWLVqknTt3KiMjQw6HQ8nJyXI4HNqyZYuqq6vdc5xOp2w2m1wul2lfTqdTDofD1LdhwwYdOnTI1OLi4uqtx+Vy6aabbpLT6VRWVpZsNpuGDx+uAwcOSJJOnDihnJwczZkzRzk5OXrjjTe0Z88ejR07tukuCgAAAACcRxbDMIyWLuK3ZvTo0frss8+0Z88e+fn5mbYVFRXpyJEj6tq1q7KysjRo0CBJ0sCBA3X77bcrJSVFx44dk6+vr8rLy2W1WrV8+XLdcccdysvLU0REhD799FP16dPnrOs7efKk2rZtq2effVa33XZbnWN27NihAQMG6D//+Y975fnHKioqVFFR4f65pKRENptNCp0tefn+//b+PayqOv///x/bE4gIiKEc3HIQkDS0Ms8G7AkF62NZk6U5pWFZo1mZmlpZZpOHzN6lITWmWU15KA/5aQpHCTIJUVOmTDQwGcw36HxEOSknXb8//Lm+7QBDRdDt/XZdr+uS13qttZ5rs9oXj17rcNG1AbUxcmc0dgkAAACog6KiIrm7u6uwsFBubm4Ntl9mfhtYQUGBEhMTNX78+GrBV5I8PDwUGhoqX19fJScnS5KKi4u1a9cuDRs2TAEBAUpLS5MkfffddyovL68283upTp48qcrKSnl6etY6prCwUBaLRR4eHjUunzNnjtzd3c1mtVrrtUYAAAAAuBCE3waWnZ0twzAUFhZ23nE2m828xPnbb79VaGiovLy8FBERYfanpKQoMDBQ/v7+duv269dPrq6udu1CTJ06Vb6+voqOjq5xeVlZmaZOnaoRI0bU+n9qpk+frsLCQrMdOnTogmoAAAAAgPpE+G1gdb3KPCoqSqmpqaqsrFRKSoqioqIkSZGRkXbht6ZZ31WrVikjI8OuSVJubq5dIJ49e3a1defOnauVK1dq3bp1cnaufnlyZWWl7rvvPhmGoYSEhFrrd3Jykpubm10DAAAAgMbSrLELuNaEhITIYrFo37595x1ns9lUWlqqHTt2KDk5WVOmTJF0NvzGxcWpoKBA6enpeuyxx6qta7VaFRwcXK3f19fXDMKSql3W/Prrr2vu3LnavHmzunXrVm39c8H3P//5j77++msCLQAAAICrBjO/DczT01MxMTGKj49XaWlpteUnTpyQJHXq1ElWq1UbNmxQRkaGIiMjJUl+fn7y8/PTggULVFFRcUH3+zZr1kzBwcFm+234fe211/TKK68oMTFRt9xyS7V1zwXfrKwsbd68WW3btr3AIwcAAACAxkP4bQTx8fE6ffq0evXqpTVr1igrK0uZmZlauHCh+vbta46z2WxavHixgoOD1b59e7M/MjJSixYtMh+M9XvHjh1Tfn6+XSsrK6u1nnnz5mnGjBlatmyZAgICzHVKSkoknQ2+9957r3bu3KmPP/5Yp0+fNsdUVFTU4ycDAAAAAJcH4bcRBAUFadeuXbLZbJo0aZJuuOEGDRw4UElJSXb30dpsNhUXF5v3+54TGRmp4uLiWmd9o6Oj5ePjY9fWr19faz0JCQmqqKjQvffea7fO66+/Lkk6fPiwNmzYoF9//VU33nij3Zjvvvvukj8PAAAAALjceM8vGsS5d3nxnl9cLrznFwAA4OrAe34BAAAAALhMCL8AAAAAAIdH+AUAAAAAODzCLwAAAADA4TVr7AJwbSncO7VBb2oHAAAAAImZXwAAAADANYDwCwAAAABweIRfAAAAAIDDI/wCAAAAABweD7xCg3LvMk9q4tzYZQAXzcid0dglAAAA4CIw8wsAAAAAcHiEXwAAAACAwyP8AgAAAAAcHuEXAAAAAODwCL8AAAAAAIdH+AUAAAAAODzCLwAAAADA4RF+L4P8/HxNmDBBQUFBcnJyktVq1ZAhQ5SUlKThw4crNjbWbnxiYqIsFotmzpxp1z9z5kx17NhRkpSTkyOLxVJj27ZtW621LFmyRLfeeqvatGmjNm3aKDo6Wtu3b7cbYxiGXnzxRfn4+Khly5aKjo5WVlaW3ZiCggKNHDlSbm5u8vDw0JgxY1RSUnIJnxIAAAAANBzCbz3LyclRjx499PXXX2v+/Pn68ccflZiYKJvNpvHjx8tmsyk1NVVVVVXmOsnJybJarUpJSbHbVnJysmw2m13f5s2blZeXZ9d69OhRaz0pKSkaMWKEkpOTlZaWJqvVqkGDBunw4cPmmNdee00LFy7UO++8o/T0dLVq1UoxMTEqKyszx4wcOVI//fSTNm3apC+++EJbtmzR2LFjL/HTAgAAAICGYTEMw2jsIhzJ7bffrh9++EH79+9Xq1at7JadOHFCR48eVefOnZWWlqY+ffpIknr37q1Ro0Zp0qRJOn78uJydnVVWViYPDw+98847Gj16tHJychQYGKjdu3frxhtvvOj6Tp8+rTZt2ujtt9/WQw89JMMw5Ovrq0mTJmny5MmSpMLCQrVv317Lly/X8OHDlZmZqS5dumjHjh265ZZbJJ2drb799tv166+/ytfX9w/3W1RUJHd3d8nvOamJ80XXDzQ2I3dGY5cAAABwVTuXDQoLC+Xm5tZg+2Xmtx4VFBQoMTFR48ePrxZ8JcnDw0OhoaHy9fVVcnKyJKm4uFi7du3SsGHDFBAQoLS0NEnSd999p/Ly8mozv5fq5MmTqqyslKenpyTp4MGDys/PV3R0tDnG3d1dvXv3NmtJS0uTh4eHGXwlKTo6Wk2aNFF6enqN+ykvL1dRUZFdAwAAAIDGQvitR9nZ2TIMQ2FhYecdZ7PZzEucv/32W4WGhsrLy0sRERFmf0pKigIDA+Xv72+3br9+/eTq6mrXLsTUqVPl6+trht38/HxJUvv27e3GtW/f3lyWn5+vdu3a2S1v1qyZPD09zTG/N2fOHLm7u5vNarVeUJ0AAAAAUJ8Iv/WorleQR0VFKTU1VZWVlUpJSVFUVJQkKTIy0i781jTru2rVKmVkZNg1ScrNzbULxLNnz6627ty5c7Vy5UqtW7dOzs6X99Lj6dOnq7Cw0GyHDh26rPsDAAAAgPNp1tgFOJKQkBBZLBbt27fvvONsNptKS0u1Y8cOJScna8qUKZLOht+4uDgVFBQoPT1djz32WLV1rVargoODq/X7+vqaQViSeVnzOa+//rrmzp2rzZs3q1u3bma/t7e3JOnIkSPy8fEx+48cOWLeW+zt7a2jR4/aba+qqkoFBQXm+r/n5OQkJyen83wKAAAAANBwmPmtR56enoqJiVF8fLxKS0urLT9x4oQkqVOnTrJardqwYYMyMjIUGRkpSfLz85Ofn58WLFigioqKC7rft1mzZgoODjbbb8Pva6+9pldeeUWJiYl29+1KUmBgoLy9vZWUlGT2FRUVKT09XX379pUk9e3bVydOnND3339vjvn666915swZ9e7du841AgAAAEBjIfzWs/j4eJ0+fVq9evXSmjVrlJWVpczMTC1cuNAMk9LZ2d/FixcrODjY7n7byMhILVq0yHww1u8dO3ZM+fn5du23ryT6vXnz5mnGjBlatmyZAgICzHXOvaPXYrHo6aef1t/+9jdt2LBBP/74ox566CH5+vpq6NChkqTrr79esbGxevTRR7V9+3alpqbqiSee0PDhw+v0pGcAAAAAaGyE33oWFBSkXbt2yWazadKkSbrhhhs0cOBAJSUlKSEhwRxns9lUXFxs3u97TmRkpIqLi2ud9Y2OjpaPj49dW79+fa31JCQkqKKiQvfee6/dOq+//ro55tlnn9WECRM0duxY9ezZUyUlJUpMTLS7L/jjjz9WWFiYbrvtNt1+++0aMGCA/v73v1/chwQAAAAADYz3/KJB8J5fOAre8wsAAHBpeM8vAAAAAACXCeEXAAAAAODwCL8AAAAAAIdH+AUAAAAAOLxmjV0Ari2Fe6c26E3tAAAAACAx8wsAAAAAuAYQfgEAAAAADo/wCwAAAABweIRfAAAAAIDDI/wCAAAAABweT3tGg3LvMk9q4tzYZQC4QEbujMYuAQAA4JIw8wsAAAAAcHiEXwAAAACAwyP8AgAAAAAcHuEXAAAAAODwCL8AAAAAAIdH+AUAAAAAODzCbyPJz8/XhAkTFBQUJCcnJ1mtVg0ZMkRJSUkaPny4YmNj7cYnJibKYrFo5syZdv0zZ85Ux44dJUk5OTmyWCw1tm3bttVay5IlS3TrrbeqTZs2atOmjaKjo7V9+3a7MYZh6MUXX5SPj49atmyp6OhoZWVl1c+HAQAAAACXGeG3EeTk5KhHjx76+uuvNX/+fP34449KTEyUzWbT+PHjZbPZlJqaqqqqKnOd5ORkWa1WpaSk2G0rOTlZNpvNrm/z5s3Ky8uzaz169Ki1npSUFI0YMULJyclKS0uT1WrVoEGDdPjwYXPMa6+9poULF+qdd95Renq6WrVqpZiYGJWVldXPhwIAAAAAl5HFMAyjsYu41tx+++364YcftH//frVq1cpu2YkTJ3T06FF17txZaWlp6tOnjySpd+/eGjVqlCZNmqTjx4/L2dlZZWVl8vDw0DvvvKPRo0crJydHgYGB2r17t2688caLru/06dNq06aN3n77bT300EMyDEO+vr6aNGmSJk+eLEkqLCxU+/bttXz5cg0fPvwPt1lUVCR3d3fJ7zmpifNF1wagcRi5Mxq7BAAA4CDOZYPCwkK5ubk12H6Z+W1gBQUFSkxM1Pjx46sFX0ny8PBQaGiofH19lZycLEkqLi7Wrl27NGzYMAUEBCgtLU2S9N1336m8vLzazO+lOnnypCorK+Xp6SlJOnjwoPLz8xUdHW2OcXd3V+/evc1afq+8vFxFRUV2DQAAAAAaC+G3gWVnZ8swDIWFhZ13nM1mMy9x/vbbbxUaGiovLy9FRESY/SkpKQoMDJS/v7/duv369ZOrq6tduxBTp06Vr6+vGXbz8/MlSe3bt7cb1759e3PZ782ZM0fu7u5ms1qtF1QDAAAAANQnwm8Dq+tV5lFRUUpNTVVlZaVSUlIUFRUlSYqMjLQLvzXN+q5atUoZGRl2TZJyc3PtAvHs2bOrrTt37lytXLlS69atk7PzxV+ePH36dBUWFprt0KFDF70tAAAAALhUzRq7gGtNSEiILBaL9u3bd95xNptNpaWl2rFjh5KTkzVlyhRJZ8NvXFycCgoKlJ6erscee6zaularVcHBwdX6fX19zSAsybys+ZzXX39dc+fO1ebNm9WtWzez39vbW5J05MgR+fj4mP1Hjhyp9d5iJycnOTk5nfcYAQAAAKChMPPbwDw9PRUTE6P4+HiVlpZWW37ixAlJUqdOnWS1WrVhwwZlZGQoMjJSkuTn5yc/Pz8tWLBAFRUVF3S/b7NmzRQcHGy234bf1157Ta+88ooSExN1yy232K0XGBgob29vJSUlmX1FRUVKT09X3759L+TwAQAAAKBREH4bQXx8vE6fPq1evXppzZo1ysrKUmZmphYuXGgXJm02mxYvXqzg4GC7+20jIyO1aNEi88FYv3fs2DHl5+fbtfO9kmjevHmaMWOGli1bpoCAAHOdkpISSZLFYtHTTz+tv/3tb9qwYYN+/PFHPfTQQ/L19dXQoUPr74MBAAAAgMuE8NsIgoKCtGvXLtlsNk2aNEk33HCDBg4cqKSkJCUkJJjjbDabiouLzft9z4mMjFRxcXGts77R0dHy8fGxa+vXr6+1noSEBFVUVOjee++1W+f11183xzz77LOaMGGCxo4dq549e6qkpESJiYmXdF8wAAAAADQU3vOLBsF7foGrG+/5BQAA9YX3/AIAAAAAcJkQfgEAAAAADo/wCwAAAABweIRfAAAAAIDDa9bYBeDaUrh3aoPe1A4AAAAAEjO/AAAAAIBrAOEXAAAAAODwCL8AAAAAAIdH+AUAAAAAODzCLwAAAADA4fG0ZzQo9y7zpCbOjV0GgEtg5M5o7BIAAAAuGDO/AAAAAACHR/gFAAAAADg8wi8AAAAAwOERfgEAAAAADo/wCwAAAABweIRfAAAAAIDDI/xeBvn5+ZowYYKCgoLk5OQkq9WqIUOGKCkpScOHD1dsbKzd+MTERFksFs2cOdOuf+bMmerYsaMkKScnRxaLpca2bdu2WmuJioqqcZ077rjDHFNSUqInnnhCHTp0UMuWLdWlSxe988475vLz7fvTTz+th08MAAAAAC4v3vNbz3JyctS/f395eHho/vz5Cg8PV2VlpTZu3Kjx48dr4sSJmjx5sqqqqtSs2dmPPzk5WVarVSkpKXbbSk5Ols1ms+vbvHmzunbtatfXtm3bWutZu3atKioqzJ+PHTum7t27a9iwYWbfM888o6+//lr/+Mc/FBAQoH/9618aN26cfH19deedd8pqtSovL89uu3//+981f/58DR48+II+HwAAAABoDITfejZu3DhZLBZt375drVq1Mvu7du2quLg4HT16VCUlJdq5c6f69OkjSUpJSdG0adM0adIklZWVydnZWWVlZUpPT9fDDz9st/22bdvK29u7zvV4enra/bxy5Uq5uLjYhd/vvvtOo0aNUlRUlCRp7Nixevfdd7V9+3bdeeedatq0abV9rlu3Tvfdd59cXV3rXAsAAAAANBYue65HBQUFSkxM1Pjx4+2C7zkeHh4KDQ2Vr6+vkpOTJUnFxcXatWuXhg0bpoCAAKWlpUk6G0jLy8urzfxeqqVLl2r48OF29fXr108bNmzQ4cOHZRiGkpOT9fPPP2vQoEE1buP7779XRkaGxowZU+t+ysvLVVRUZNcAAAAAoLEQfutRdna2DMNQWFjYecfZbDbzEudvv/1WoaGh8vLyUkREhNmfkpKiwMBA+fv7263br18/ubq62rW62r59u/bs2aNHHnnErn/RokXq0qWLOnTooBYtWig2Nlbx8fGKiIiocTtLly7V9ddfr379+tW6rzlz5sjd3d1sVqu1znUCAAAAQH0j/NYjwzDqNC4qKkqpqamqrKxUSkqKeblxZGSkXfitadZ31apVysjIsGuSlJubaxeIZ8+eXW3dpUuXKjw8XL169bLrX7RokbZt26YNGzbo+++/14IFCzR+/Hht3ry52jZOnTqlTz755LyzvpI0ffp0FRYWmu3QoUN1+GQAAAAA4PLgnt96FBISIovFon379p13nM1mU2lpqXbs2KHk5GRNmTJF0tnwGxcXp4KCAqWnp+uxxx6rtq7ValVwcHC1fl9fXzMIS9Xv9S0tLdXKlSs1a9Ysu/5Tp07pueee07p168wnQHfr1k0ZGRl6/fXXFR0dbTf+s88+08mTJ/XQQw+d9xidnJzk5OR03jEAAAAA0FCY+a1Hnp6eiomJUXx8vEpLS6stP3HihCSpU6dOslqt2rBhgzIyMhQZGSlJ8vPzk5+fnxYsWKCKiooLut+3WbNmCg4ONtvvw++nn36q8vJy/eUvf7Hrr6ysVGVlpZo0sT8VmjZtqjNnzlTbz9KlS3XnnXfKy8urzrUBAAAAQGNj5reexcfHq3///urVq5dmzZqlbt26qaqqSps2bVJCQoIyMzMlnZ39Xbx4sYKDg9W+fXtz/cjISC1atMh8MNbvHTt2TPn5+XZ9Hh4ecnZ2Pm9dS5cu1dChQ6u9FsnNzU2RkZGaMmWKWrZsKX9/f33zzTf68MMP9cYbb9iNzc7O1pYtW/Tll19e0GcCAAAAAI2Nmd96FhQUpF27dslms2nSpEm64YYbNHDgQCUlJSkhIcEcZ7PZVFxcbN7ve05kZKSKi4trnfWNjo6Wj4+PXVu/fv15a9q/f7+2bt1a6326K1euVM+ePTVy5Eh16dJFc+fO1auvvqrHH3/cbtyyZcvUoUOHWp8CDQAAAABXKotR16c0AZegqKhI7u7ukt9zUpPzz1IDuLIZuTMauwQAAHAVO5cNCgsL5ebm1mD7ZeYXAAAAAODwCL8AAAAAAIdH+AUAAAAAODzCLwAAAADA4fGqIzSowr1TG/SmdgAAAACQmPkFAAAAAFwDCL8AAAAAAIdH+AUAAAAAODzCLwAAAADA4RF+AQAAAAAOj6c9o0G5d5knNXFu7DIAwI6RO6OxSwAAAJcZM78AAAAAAIdH+AUAAAAAODzCLwAAAADA4RF+AQAAAAAOj/ALAAAAAHB4hF8AAAAAgMMj/DaC/Px8TZgwQUFBQXJycpLVatWQIUOUlJSk4cOHKzY21m58YmKiLBaLZs6cadc/c+ZMdezYUZKUk5Mji8VSY9u2bdt563nzzTfVuXNntWzZUlarVRMnTlRZWZm5vLi4WE8//bT8/f3VsmVL9evXTzt27KifDwMAAAAAGgDv+W1gOTk56t+/vzw8PDR//nyFh4ersrJSGzdu1Pjx4zVx4kRNnjxZVVVVatbs7K8nOTlZVqtVKSkpdttKTk6WzWaz69u8ebO6du1q19e2bdta6/nkk080bdo0LVu2TP369dPPP/+s0aNHy2Kx6I033pAkPfLII9qzZ48++ugj+fr66h//+Ieio6O1d+9e+fn51cOnAgAAAACXF+G3gY0bN04Wi0Xbt29Xq1atzP6uXbsqLi5OR48eVUlJiXbu3Kk+ffpIklJSUjRt2jRNmjRJZWVlcnZ2VllZmdLT0/Xwww/bbb9t27by9vaucz3fffed+vfvrwceeECSFBAQoBEjRig9PV2SdOrUKa1Zs0aff/65IiIiJJ2dcf6///f/KiEhQX/7298u6fMAAAAAgIbAZc8NqKCgQImJiRo/frxd8D3Hw8NDoaGh8vX1VXJysqSzlxzv2rVLw4YNU0BAgNLS0iSdDa3l5eXVZn4vVL9+/fT9999r+/btkqRffvlFX375pW6//XZJUlVVlU6fPi1nZ2e79Vq2bKmtW7fWut3y8nIVFRXZNQAAAABoLITfBpSdnS3DMBQWFnbecTabzbzE+dtvv1VoaKi8vLwUERFh9qekpCgwMFD+/v526/br10+urq527XweeOABzZo1SwMGDFDz5s3VqVMnRUVF6bnnnpMktW7dWn379tUrr7yi//3f/9Xp06f1j3/8Q2lpacrLy6t1u3PmzJG7u7vZrFbrH3w6AAAAAHD5EH4bkGEYdRoXFRWl1NRUVVZWKiUlRVFRUZKkyMhIu/Bb06zvqlWrlJGRYdckKTc31y4Qz54929zO7NmztXjxYu3atUtr167VP//5T73yyivmNj/66CMZhiE/Pz85OTlp4cKFGjFihJo0qf30mT59ugoLC8126NChOh07AAAAAFwO3PPbgEJCQmSxWLRv377zjrPZbCotLdWOHTuUnJysKVOmSDobfuPi4lRQUKD09HQ99thj1da1Wq0KDg6u1u/r62sGYUny9PSUJM2YMUMPPvigHnnkEUlSeHi4SktLNXbsWD3//PNq0qSJOnXqpG+++UalpaUqKiqSj4+P7r//fgUFBdV6DE5OTnJycvrDzwQAAAAAGgIzvw3I09NTMTExio+PV2lpabXlJ06ckCR16tRJVqtVGzZsUEZGhiIjIyVJfn5+8vPz04IFC1RRUXFB9/s2a9ZMwcHBZjsXfk+ePFltBrdp06aSqs9Ut2rVSj4+Pjp+/Lg2btyou+66q877BwAAAIDGxMxvA4uPj1f//v3Vq1cvzZo1S926dVNVVZU2bdqkhIQEZWZmSjo7+7t48WIFBwerffv25vqRkZFatGiR+WCs3zt27Jjy8/Pt+jw8PKo9sOqcIUOG6I033tBNN92k3r17Kzs7WzNmzNCQIUPMELxx40YZhqHOnTsrOztbU6ZMUVhYWLUnTQMAAADAlYrw28CCgoK0a9cuvfrqq5o0aZLy8vLk5eWlHj16KCEhwRxns9n04Ycfmvf7nhMZGan333/ffDXR70VHR1frW7FihYYPH17j+BdeeEEWi0UvvPCCDh8+LC8vLw0ZMkSvvvqqOaawsFDTp0/Xr7/+Kk9PT/35z3/Wq6++qubNm1/EJwAAAAAADc9i1PUpTMAlKCoqkru7u+T3nNSk5lloAGgsRu6Mxi4BAIBrxrlsUFhYKDc3twbbL/f8AgAAAAAcHuEXAAAAAODwCL8AAAAAAIdH+AUAAAAAODzCLwAAAADA4fGqIzSowr1TG/SJbgAAAAAgMfMLAAAAALgGEH4BAAAAAA6P8AsAAAAAcHiEXwAAAACAw+OBV2hQ7l3mSU2cG7sMAKjGyJ3R2CUAAIDLiJlfAAAAAIDDI/wCAAAAABwe4RcAAAAA4PAIvwAAAAAAh0f4BQAAAAA4PMIvAAAAAMDhEX4BAAAAAA6P8HsZ5Ofna8KECQoKCpKTk5OsVquGDBmipKQkDR8+XLGxsXbjExMTZbFYNHPmTLv+mTNnqmPHjpKknJwcWSyWGtu2bdtqreWnn37Sn//8ZwUEBMhisejNN9+sNmbLli0aMmSIfH19ZbFYtH79+mpjjhw5otGjR8vX11cuLi6KjY1VVlbWBX82AAAAANAYCL/1LCcnRz169NDXX3+t+fPn68cff1RiYqJsNpvGjx8vm82m1NRUVVVVmeskJyfLarUqJSXFblvJycmy2Wx2fZs3b1ZeXp5d69GjR631nDx5UkFBQZo7d668vb1rHFNaWqru3bsrPj6+xuWGYWjo0KH65Zdf9Pnnn2v37t3y9/dXdHS0SktL6/jJAAAAAEDjadbYBTiacePGyWKxaPv27WrVqpXZ37VrV8XFxeno0aMqKSnRzp071adPH0lSSkqKpk2bpkmTJqmsrEzOzs4qKytTenq6Hn74Ybvtt23bttYQW5OePXuqZ8+ekqRp06bVOGbw4MEaPHhwrdvIysrStm3btGfPHnXt2lWSlJCQIG9vb61YsUKPPPJInesBAAAAgMbAzG89KigoUGJiosaPH28XfM/x8PBQaGiofH19lZycLEkqLi7Wrl27NGzYMAUEBCgtLU2S9N1336m8vLzazG9jKC8vlyQ5OzubfU2aNJGTk5O2bt1a6zpFRUV2DQAAAAAaC+G3HmVnZ8swDIWFhZ13nM1mMy9x/vbbbxUaGiovLy9FRESY/SkpKQoMDJS/v7/duv369ZOrq6tdu9zCwsLUsWNHTZ8+XcePH1dFRYXmzZunX3/9VXl5eTWuM2fOHLm7u5vNarVe9joBAAAAoDaE33pkGEadxkVFRSk1NVWVlZVKSUlRVFSUJCkyMtIu/NY067tq1SplZGTYNUnKzc21C8SzZ8+uj0OSJDVv3lxr167Vzz//LE9PT7m4uCg5OVmDBw9WkyY1n0LTp09XYWGh2Q4dOlRv9QAAAADAheKe33oUEhIii8Wiffv2nXeczWZTaWmpduzYoeTkZE2ZMkXS2fAbFxengoICpaen67HHHqu2rtVqVXBwcLV+X19fMwhLkqen56UdzO/06NFDGRkZKiwsVEVFhby8vNS7d2/dcsstNY53cnKSk5NTvdYAAAAAABeLmd965OnpqZiYGMXHx9f4FOQTJ05Ikjp16iSr1aoNGzYoIyNDkZGRkiQ/Pz/5+flpwYIFqqiouKD7fZs1a6bg4GCz1Xf4Pcfd3V1eXl7KysrSzp07ddddd12W/QAAAABAfWLmt57Fx8erf//+6tWrl2bNmqVu3bqpqqpKmzZtUkJCgjIzMyWdnf1dvHixgoOD1b59e3P9yMhILVq0yHww1u8dO3ZM+fn5dn0eHh52D6P6rYqKCu3du9f89+HDh5WRkSFXV1dzBrmkpETZ2dnmOgcPHlRGRoY8PT3N9wx/+umn8vLyUseOHfXjjz/qqaee0tChQzVo0KBL+LQAAAAAoGEw81vPgoKCtGvXLtlsNk2aNEk33HCDBg4cqKSkJCUkJJjjbDabiouLzft9z4mMjFRxcXGts77R0dHy8fGxa+vXr6+1nv/93//VTTfdpJtuukl5eXl6/fXXddNNN9m9nmjnzp3mGEl65plndNNNN+nFF180x+Tl5enBBx9UWFiYnnzyST344INasWLFRXxCAAAAANDwLEZdn9IEXIKioiK5u7tLfs9JTWqepQaAxmTkzmjsEgAAuCacywaFhYVyc3NrsP0y8wsAAAAAcHiEXwAAAACAwyP8AgAAAAAcHuEXAAAAAODweNURGlTh3qkNelM7AAAAAEjM/AIAAAAArgGEXwAAAACAwyP8AgAAAAAcHuEXAAAAAODweOAVGpR7l3lSE+fGLgMAAKDeGLkzGrsEAHXAzC8AAAAAwOERfgEAAAAADo/wCwAAAABweIRfAAAAAIDDI/wCAAAAABwe4RcAAAAA4PAIv/9/UVFRevrppy95O6NHj9bQoUMveTsAAAAAgPrj0OF39OjRslgsevzxx6stGz9+vCwWi0aPHi1JWrt2rV555ZVL3udbb72l5cuXX/J2LoTFYjFbq1atFBISotGjR+v777+/4G3V1/8EAAAAAIAriUOHX0myWq1auXKlTp06ZfaVlZXpk08+UceOHc0+T09PtW7d+pL35+7uLg8Pj0vezoV6//33lZeXp59++knx8fEqKSlR79699eGHHzZ4LQAAAABwpXH48HvzzTfLarVq7dq1Zt/atWvVsWNH3XTTTWbf72c8Fy9erJCQEDk7O6t9+/a69957zWWfffaZwsPD1bJlS7Vt21bR0dEqLS2VVP2y56ioKD355JN69tln5enpKW9vb82cOdOuxn379mnAgAFydnZWly5dtHnzZlksFq1fv77Ox+nh4SFvb28FBARo0KBB+uyzzzRy5Eg98cQTOn78uCTp2LFjGjFihPz8/OTi4qLw8HCtWLHC3Mbo0aP1zTff6K233jJnknNycnT69GmNGTNGgYGBatmypTp37qy33nqrzrUBAAAAQGNz+PArSXFxcXr//ffNn5ctW6aHH3641vE7d+7Uk08+qVmzZmn//v1KTExURESEJCkvL08jRoxQXFycMjMzlZKSonvuuUeGYdS6vQ8++ECtWrVSenq6XnvtNc2aNUubNm2SJJ0+fVpDhw6Vi4uL0tPT9fe//13PP/98vRz3xIkTVVxcbO6rrKxMPXr00D//+U/t2bNHY8eO1YMPPqjt27dLOnvJdt++ffXoo48qLy9PeXl5slqtOnPmjDp06KBPP/1Ue/fu1YsvvqjnnntOq1evrnXf5eXlKioqsmsAAAAA0FiaNXYBDeEvf/mLpk+frv/85z+SpNTUVK1cuVIpKSk1js/NzVWrVq30f/7P/1Hr1q3l7+9vzhLn5eWpqqpK99xzj/z9/SVJ4eHh591/t27d9NJLL0mSQkJC9PbbbyspKUkDBw7Upk2bdODAAaWkpMjb21uS9Oqrr2rgwIGXfNxhYWGSpJycHEmSn5+fJk+ebC6fMGGCNm7cqNWrV6tXr15yd3dXixYt5OLiYtYiSU2bNtXLL79s/hwYGKi0tDStXr1a9913X437njNnjt06AAAAANCYronw6+XlpTvuuEPLly+XYRi64447dN1119U6fuDAgfL391dQUJBiY2MVGxuru+++Wy4uLurevbtuu+02hYeHKyYmRoMGDdK9996rNm3a1Lq9bt262f3s4+Ojo0ePSpL2798vq9VqFzZ79ep1iUd81rnZaIvFIunsLPPs2bO1evVqHT58WBUVFSovL5eLi8sfbis+Pl7Lli1Tbm6uTp06pYqKCt144421jp8+fbqeeeYZ8+eioiJZrdZLOyAAAAAAuEjXxGXP0tlLn5cvX64PPvhAcXFx5x3bunVr7dq1SytWrJCPj49efPFFde/eXSdOnFDTpk21adMmffXVV+rSpYsWLVqkzp076+DBg7Vur3nz5nY/WywWnTlzpl6O63wyMzMlnZ2plaT58+frrbfe0tSpU5WcnKyMjAzFxMSooqLivNtZuXKlJk+erDFjxuhf//qXMjIy9PDDD593PScnJ7m5udk1AAAAAGgs10z4jY2NVUVFhSorKxUTE/OH45s1a6bo6Gi99tpr+uGHH5STk6Ovv/5a0tnw2r9/f7388svavXu3WrRooXXr1l1UXZ07d9ahQ4d05MgRs2/Hjh0Xta3fe/PNN+Xm5qbo6GhJZy/3vuuuu/SXv/xF3bt3V1BQkH7++We7dVq0aKHTp0/b9aWmpqpfv34aN26cbrrpJgUHB+vAgQP1UiMAAAAANIRr4rJn6ex9q+dmQps2bXresV988YV++eUXRUREqE2bNvryyy915swZde7cWenp6UpKStKgQYPUrl07paen67///a+uv/76i6pr4MCB6tSpk0aNGqXXXntNxcXFeuGFFyT9f5cr18WJEyeUn5+v8vJy/fzzz3r33Xe1fv16ffjhh+arl0JCQvTZZ5/pu+++U5s2bfTGG2/oyJEj6tKli7mdgIAApaenKycnR66urvL09FRISIg+/PBDbdy4UYGBgfroo4+0Y8cOc0YZAAAAAK5018zMr6Q6X37r4eGhtWvX6k9/+pOuv/56vfPOO1qxYoW6du0qNzc3bdmyRbfffrtCQ0P1wgsvaMGCBRo8ePBF1dS0aVOtX79eJSUl6tmzpx555BHzac/Ozs513s7DDz8sHx8fhYWF6a9//atcXV21fft2PfDAA+aYF154QTfffLNiYmIUFRUlb29vu9cySdLkyZPVtGlTdenSRV5eXsrNzdVjjz2me+65R/fff7969+6tY8eOady4cRd1vAAAAADQGCzG+d7Rg0aRmpqqAQMGKDs7W506dWrscupFUVGR3N3dJb/npCZ1D/UAAABXOiN3RmOXAFxVzmWDwsLCBn020DVz2fOVbN26dXJ1dVVISIiys7P11FNPqX///g4TfAEAAACgsV1Tlz1fqYqLizV+/HiFhYVp9OjR6tmzpz7//HNJ0uzZs+Xq6lpju9hLrQEAAADgWsNlz1e4goICFRQU1LisZcuW8vPza+CKLg6XPQMAAEfFZc/AheGyZ9TI09NTnp6ejV0GAAAAAFzVCL9oUIV7pzbo/90BAAAAAIl7fgEAAAAA1wDCLwAAAADA4RF+AQAAAAAOj/ALAAAAAHB4hF8AAAAAgMPjac9oUO5d5vGeXwAAAFyVeKfz1Y2ZXwAAAACAwyP8AgAAAAAcHuEXAAAAAODwCL8AAAAAAIdH+AUAAAAAODzCLwAAAADA4RF+G0l+fr4mTJigoKAgOTk5yWq1asiQIUpKStLw4cMVGxtrNz4xMVEWi0UzZ8606585c6Y6duwoScrJyZHFYqmxbdu2rdZaoqKialznjjvuMMccOXJEo0ePlq+vr1xcXBQbG6usrKz6+0AAAAAA4DLiPb+NICcnR/3795eHh4fmz5+v8PBwVVZWauPGjRo/frwmTpyoyZMnq6qqSs2anf0VJScny2q1KiUlxW5bycnJstlsdn2bN29W165d7fratm1baz1r165VRUWF+fOxY8fUvXt3DRs2TJJkGIaGDh2q5s2b6/PPP5ebm5veeOMNRUdHa+/evWrVqtWlfBwAAAAAcNkRfhvBuHHjZLFYtH37drvg2LVrV8XFxeno0aMqKSnRzp071adPH0lSSkqKpk2bpkmTJqmsrEzOzs4qKytTenq6Hn74Ybvtt23bVt7e3nWux9PT0+7nlStXysXFxQy/WVlZ2rZtm/bs2WOG6oSEBHl7e2vFihV65JFHLupzAAAAAICGwmXPDaygoECJiYkaP358jTOmHh4eCg0Nla+vr5KTkyVJxcXF2rVrl4YNG6aAgAClpaVJkr777juVl5dXm/m9VEuXLtXw4cPN+srLyyVJzs7O5pgmTZrIyclJW7durXEb5eXlKioqsmsAAAAA0FgIvw0sOztbhmEoLCzsvONsNpt5ifO3336r0NBQeXl5KSIiwuxPSUlRYGCg/P397dbt16+fXF1d7Vpdbd++XXv27LGbzQ0LC1PHjh01ffp0HT9+XBUVFZo3b55+/fVX5eXl1bidOXPmyN3d3WxWq7XONQAAAABAfSP8NjDDMOo0LioqSqmpqaqsrFRKSoqioqIkSZGRkXbht6ZZ31WrVikjI8OuSVJubq5dIJ49e3a1dZcuXarw8HD16tXL7GvevLnWrl2rn3/+WZ6ennJxcVFycrIGDx6sJk1qPoWmT5+uwsJCsx06dKhOxw0AAAAAlwP3/DawkJAQWSwW7du377zjbDabSktLtWPHDiUnJ2vKlCmSzobfuLg4FRQUKD09XY899li1da1Wq4KDg6v1+/r6mkFYqn6vb2lpqVauXKlZs2ZVW7dHjx7KyMhQYWGhKioq5OXlpd69e+uWW26psX4nJyc5OTmd9xgBAAAAoKEw89vAPD09FRMTo/j4eJWWllZbfuLECUlSp06dZLVatWHDBmVkZCgyMlKS5OfnJz8/Py1YsEAVFRUXdL9vs2bNFBwcbLbfh99PP/1U5eXl+stf/lLrNtzd3eXl5aWsrCzt3LlTd911V533DwAAAACNhfDbCOLj43X69Gn16tVLa9asUVZWljIzM7Vw4UL17dvXHGez2bR48WIFBwerffv2Zn9kZKQWLVpkPhjr944dO6b8/Hy7VlZW9od1LV26VEOHDq3xtUiffvqpUlJS9Msvv+jzzz/XwIEDNXToUA0aNOgiPwUAAAAAaDiE30YQFBSkXbt2yWazadKkSbrhhhs0cOBAJSUlKSEhwRxns9lUXFxs3u97TmRkpIqLi2ud9Y2OjpaPj49dW79+/Xlr2r9/v7Zu3aoxY8bUuDwvL08PPvigwsLC9OSTT+rBBx/UihUrLui4AQAAAKCxWIy6PoEJuARFRUVyd3eX/J6Tmjj/8QoAAADAFcbIndHYJTiEc9mgsLBQbm5uDbZfZn4BAAAAAA6P8AsAAAAAcHiEXwAAAACAwyP8AgAAAAAcXrPGLgDXlsK9Uxv0pnYAAAAAkJj5BQAAAABcAwi/AAAAAACHR/gFAAAAADg8wi8AAAAAwOERfgEAAAAADo+nPaNBuXeZJzVxbuwyAAAAgHph5M5o7BJQR8z8AgAAAAAcHuEXAAAAAODwCL8AAAAAAIdH+AUAAAAAODzCLwAAAADA4RF+HVxAQIDefPPNC1onNTVV4eHhat68uYYOHXpZ6gIAAACAhtSo4Xf06NGyWCyaO3euXf/69etlsVi0Zs0aNW3aVIcPH65x/ZCQED3zzDOSpKioKFksFlksFjk5OcnPz09DhgzR2rVr61zPmjVrFBUVJXd3d7m6uqpbt26aNWuWCgoKtG/fPlksFm3bts1unT59+sjZ2VllZWVmX1lZmZydnbV06VK74/x9i42NrXNtF2vHjh0aO3bsBa3zzDPP6MYbb9TBgwe1fPnyy1MYAAAAADSgRp/5dXZ21rx583T8+PFqy+688061bdtWH3zwQbVlW7ZsUXZ2tsaMGWP2Pfroo8rLy9OBAwe0Zs0adenSRcOHD69T+Hv++ed1//33q2fPnvrqq6+0Z88eLViwQP/+97/10UcfKSwsTN7e3kpJSTHXKS4u1q5du+Tl5WUXitPS0lReXq4//elPZl9sbKzy8vLs2ooVK+r6MV00Ly8vubi4XNA6Bw4c0J/+9Cd16NBBHh4el6cwAAAAAGhAjR5+o6Oj5e3trTlz5lRb1rx5cz344IM1zj4uW7ZMvXv3VteuXc0+FxcXeXt7q0OHDurTp4/mzZund999V0uWLNHmzZtrrWH79u2aPXu2FixYoPnz56tfv34KCAjQwIEDtWbNGo0aNUqSZLPZ7MLv1q1bFRoaqiFDhtj1p6SkyN/fX4GBgWafk5OTvL297VqbNm1qrSknJ0cWi0Vr166VzWaTi4uLunfvrrS0NLtxa9asUdeuXeXk5KSAgAAtWLDAbvnvL3u2WCx67733dPfdd8vFxUUhISHasGGD3T6PHTumuLg4WSwW87P/5ptv1KtXLzk5OcnHx0fTpk1TVVVVrfUDAAAAwJWk0cNv06ZNNXv2bC1atEi//vprteVjxoxRVlaWtmzZYvaVlJTos88+s5v1rc2oUaPUpk2b817+/PHHH8vV1VXjxo2rcfm52U+bzaatW7eaoS85OVlRUVGKjIxUcnKyOT45OVk2m+0Pa6uL559/XpMnT1ZGRoZCQ0M1YsQIc//ff/+97rvvPg0fPlw//vijZs6cqRkzZvzhpcovv/yy7rvvPv3www+6/fbbNXLkSBUUFMhqtSovL09ubm568803lZeXp/vvv1+HDx/W7bffrp49e+rf//63EhIStHTpUv3tb3+rdR/l5eUqKiqyawAAAADQWBo9/ErS3XffrRtvvFEvvfRStWVdunRRnz59tGzZMrNv9erVMgxDw4cP/8NtN2nSRKGhocrJyal1TFZWloKCgtS8efPzbstms6m0tFQ7duyQdHaGNzIyUhEREUpPT1dZWZlOnTql7du3Vwu/X3zxhVxdXe3a7Nmz/7D+yZMn64477lBoaKhefvll/ec//1F2drYk6Y033tBtt92mGTNmKDQ0VKNHj9YTTzyh+fPnn3ebo0eP1ogRIxQcHKzZs2erpKRE27dvV9OmTeXt7S2LxSJ3d3d5e3urZcuWWrx4saxWq95++22FhYVp6NChevnll7VgwQKdOXOmxn3MmTNH7u7uZrNarX94rAAAAABwuVwR4VeS5s2bpw8++ECZmZnVlsXFxemzzz5TcXGxpLOXPA8bNkytW7eu07YNw5DFYpEkDR482Ayf5y6ZNgyjTtsJDg5Whw4dlJKSoqKiIu3evVuRkZHy8fFRx44dlZaWZt7v+/vwa7PZlJGRYdcef/xxSdLjjz9uF4p/q1u3bua/fXx8JElHjx6VJGVmZqp///524/v376+srCydPn261uP47TZbtWolNzc3c5s1yczMVN++fc3P8Nx+SkpKapytl6Tp06ersLDQbIcOHap1+wAAAABwuTVr7ALOiYiIUExMjKZPn67Ro0fbLRs+fLgmTpyo1atXKyIiQqmpqTXeI1yT06dPKysrSz179pQkvffeezp16pQkmTO9oaGh2rp1qyorK/9w9jcqKkrJycnq1q2bQkJC1K5dO0kyL302DEPBwcHVZjpbtWql4ODgGrc5a9YsTZ48ucZlv63nXPisbba1rn5/jBaL5ZK3+XtOTk5ycnKq120CAAAAwMW6YsKvJM2dO1c33nijOnfubNffunVrDRs2TMuWLdOBAwcUGhqqW2+9tU7b/OCDD3T8+HH9+c9/liT5+flVG/PAAw9o4cKFWrx4sZ566qlqy0+cOGF33++TTz6pLl26KCoqyhwTERGhJUuWyDCMC77ft127dmaIvhDXX3+9UlNT7fpSU1MVGhqqpk2bXvD2zrefNWvW2M2gp6amqnXr1urQoUO97QcAAAAALpcrKvyGh4dr5MiRWrhwYbVlY8aM0a233qrMzExNnTq1xvVPnjyp/Px8VVVV6ddff9W6dev0P//zP/rrX/963kDau3dvPfvss5o0aZIOHz6su+++W76+vsrOztY777yjAQMGmKH43H2/y5Yt05IlS8xtREZG6pFHHpGkGh+cVV5ervz8fLu+Zs2a6brrrvvjD6YWkyZNUs+ePfXKK6/o/vvvV1pamt5++20tXrz4ordZk3HjxunNN9/UhAkT9MQTT2j//v166aWX9Mwzz6hJkyvmynkAAAAAqNUVl1xmzZpV4yW4AwYMUOfOnVVUVKSHHnqoxnWXLFkiHx8fderUSffcc4/27t2rVatW1SkMzps3T5988onS09MVExOjrl276plnnlG3bt3MVx1JUmBgoPz9/VVcXKzIyEizv2PHjvL19VVFRYXdjPA5iYmJ8vHxsWsDBgyowydSu5tvvlmrV6/WypUrdcMNN+jFF1/UrFmzql02fqn8/Pz05Zdfavv27erevbsef/xxjRkzRi+88EK97gcAAAAALheLUdenPQGXoKioSO7u7pLfc1IT58YuBwAAAKgXRu6Mxi7hqnMuGxQWFsrNza3B9nvFzfwCAAAAAFDfCL8AAAAAAIdH+AUAAAAAODzCLwAAAADA4V1RrzqC4yvcO7VBb2oHAAAAAImZXwAAAADANYDwCwAAAABweIRfAAAAAIDDI/wCAAAAABwe4RcAAAAA4PB42jMalHuXeVIT58YuAwAAALhmGLkzGruEKwIzvwAAAAAAh0f4BQAAAAA4PMIvAAAAAMDhEX4BAAAAAA6P8AsAAAAAcHiEXwAAAACAwyP8XkOWL18uDw+Pxi4DAAAAABrcFRV+R48eLYvForlz59r1r1+/XhaLRWvWrFHTpk11+PDhGtcPCQnRM888I0mKioqSxWKRxWKRk5OT/Pz8NGTIEK1du7bO9axZs0ZRUVFyd3eXq6urunXrplmzZqmgoED79u2TxWLRtm3b7Nbp06ePnJ2dVVZWZvaVlZXJ2dlZS5cutTvO37fY2Ng/rOnQoUOKi4uTr6+vWrRoIX9/fz311FM6duyY3biAgAC9+eabdT5WAAAAAHBkV1T4lSRnZ2fNmzdPx48fr7bszjvvVNu2bfXBBx9UW7ZlyxZlZ2drzJgxZt+jjz6qvLw8HThwQGvWrFGXLl00fPhwjR079g/reP7553X//ferZ8+e+uqrr7Rnzx4tWLBA//73v/XRRx8pLCxM3t7eSklJMdcpLi7Wrl275OXlZReK09LSVF5erj/96U9mX2xsrPLy8uzaihUrzlvTL7/8oltuuUVZWVlasWKFsrOz9c477ygpKUl9+/ZVQUHBHx7X5VBZWdko+wUAAACAurriwm90dLS8vb01Z86casuaN2+uBx98UMuXL6+2bNmyZerdu7e6du1q9rm4uMjb21sdOnRQnz59NG/ePL377rtasmSJNm/eXGsN27dv1+zZs7VgwQLNnz9f/fr1U0BAgAYOHKg1a9Zo1KhRkiSbzWYXfrdu3arQ0FANGTLErj8lJUX+/v4KDAw0+5ycnOTt7W3X2rRpc97PZvz48WrRooX+9a9/KTIyUh07dtTgwYO1efNmHT58WM8//7yks7Pe//nPfzRx4kRzVvm3Nm7cqOuvv16urq5mCP+t9957T9dff72cnZ0VFhamxYsXm8tycnJksVi0atUqRUZGytnZWR9//HG1WsvLy1VUVGTXAAAAAKCxXHHht2nTppo9e7YWLVqkX3/9tdryMWPGKCsrS1u2bDH7SkpK9Nlnn9nN+tZm1KhRatOmzXkvf/7444/l6uqqcePG1bj83H2zNptNW7duVVVVlSQpOTlZUVFRioyMVHJysjk+OTlZNpvtD2s7n4KCAm3cuFHjxo1Ty5Yt7ZZ5e3tr5MiRWrVqlQzD0Nq1a9WhQwfNmjXLnFU+5+TJk3r99df10UcfacuWLcrNzdXkyZPtjv3FF1/Uq6++qszMTM2ePVszZsyoNts+bdo0PfXUU8rMzFRMTEy1eufMmSN3d3ezWa3WSzp+AAAAALgUV1z4laS7775bN954o1566aVqy7p06aI+ffpo2bJlZt/q1atlGIaGDx/+h9tu0qSJQkNDlZOTU+uYrKwsBQUFqXnz5ufdls1mU2lpqXbs2CHp7AxvZGSkIiIilJ6errKyMp06dUrbt2+vFn6/+OILubq62rXZs2eftybDMHT99dfXuPz666/X8ePH9d///leenp5q2rSpWrdubc4qn1NZWal33nlHt9xyi26++WY98cQTSkpKMpe/9NJLWrBgge655x4FBgbqnnvu0cSJE/Xuu+/a7e/pp582x/j4+FSrZ/r06SosLDTboUOHzvtZAgAAAMDl1KyxC6jNvHnz9Kc//cluVvKcuLg4TZw4UYsWLVLr1q21bNkyDRs2TK1bt67Ttg3DMC8FHjx4sL799ltJkr+/v3766ScZhlGn7QQHB6tDhw5KSUlR165dtXv3bkVGRqpdu3bq2LGj0tLSZBiGysvLq4Vfm82mhIQEuz5PT09J0uOPP65//OMfZn9JSYld7ZfCxcVFnTp1Mn/28fHR0aNHJUmlpaU6cOCAxowZo0cffdQcU1VVJXd3d7vt3HLLLefdj5OTk5ycnC6pVgAAAACoL1ds+I2IiFBMTIymT5+u0aNH2y0bPny4Jk6cqNWrVysiIkKpqak13iNck9OnTysrK0s9e/aUdPb+1lOnTkmSOdMbGhqqrVu3qrKy8g9nf6OiopScnKxu3bopJCRE7dq1kyTz0mfDMBQcHFztst9WrVopODi4xm3OmjWrWugPDg6WxWJRZmam7r777mrrZGZmqk2bNvLy8jpvvb8/HovFYgbqcyF7yZIl6t27t924pk2bVqsfAAAAAK4WV2z4laS5c+fqxhtvVOfOne36W7durWHDhmnZsmU6cOCAQkNDdeutt9Zpmx988IGOHz+uP//5z5IkPz+/amMeeOABLVy4UIsXL9ZTTz1VbfmJEyfs7vt98skn1aVLF0VFRZljIiIitGTJEhmGccH3+7Zr184M0ee0bdtWAwcO1OLFizVx4kS7+37z8/P18ccf66GHHjJntFu0aKHTp09f0H7bt28vX19f/fLLLxo5cuQFrQsAAAAAV7IrOvyGh4dr5MiRWrhwYbVlY8aM0a233qrMzExNnTq1xvVPnjyp/Px8VVVV6ddff9W6dev0P//zP/rrX/963kDau3dvPfvss5o0aZIOHz6su+++W76+vuarhQYMGGCG4nP3/S5btkxLliwxtxEZGalHHnlEkmp8cFZ5ebny8/Pt+po1a6brrruu1rrefvtt9evXTzExMfrb3/6mwMBA/fTTT5oyZYr8/Pz06quvmmMDAgK0ZcsWDR8+XE5OTufd7m+9/PLLevLJJ+Xu7q7Y2FiVl5dr586dOn78uPkOZQAAAAC42lyRD7z6rVmzZunMmTPV+gcMGKDOnTurqKhIDz30UI3rLlmyRD4+PurUqZPuuece7d27V6tWrbJ7dU9t5s2bp08++UTp6emKiYlR165d9cwzz6hbt27mq44kKTAwUP7+/iouLlZkZKTZ37FjR/n6+qqiosJuRvicxMRE+fj42LUBAwact6aQkBDt3LlTQUFBuu+++9SpUyeNHTtWNptNaWlp5j3D0tnPLScnR506dfrDS6F/65FHHtF7772n999/X+Hh4YqMjNTy5cvtXtMEAAAAAFcbi3GpT1AC6qCoqOjsQ7P8npOaODd2OQAAAMA1w8id0dgl2DmXDQoLC+Xm5tZg+73iZ34BAAAAALhUhF8AAAAAgMMj/AIAAAAAHB7hFwAAAADg8K7oVx3B8RTundqgN7UDAAAAgMTMLwAAAADgGkD4BQAAAAA4PMIvAAAAAMDhEX4BAAAAAA6P8AsAAAAAcHiEXwAAAACAwyP8AgAAAAAcHuEXAAAAAODwCL8AAAAAAIdH+AUAAAAAODzCLwAAAADA4RF+AQAAAAAOj/ALAAAAAHB4hF8AAAAAgMMj/AIAAAAAHB7hFwAAAADg8Ai/AAAAAACHR/gFAAAAADg8wi8AAAAAwOERfgEAAAAADo/wCwAAAABweIRfAAAAAIDDI/wCAAAAABwe4RcAAAAA4PAIvwAAAAAAh0f4BQAAAAA4PMIvAAAAAMDhEX4BAAAAAA6P8AsAAAAAcHiEXwAAAACAwyP8AgAAAAAcHuEXAAAAAODwCL8AAAAAAIfXrLELwLXBMAxJUlFRUSNXAgAAAKAxncsE5zJCQyH8okEcO3ZMkmS1Whu5EgAAAABXguLiYrm7uzfY/gi/aBCenp6SpNzc3AY9wXHlKCoqktVq1aFDh+Tm5tbY5aARcA5c2/j9g3MAnAM4dw7k5ubKYrHI19e3QfdP+EWDaNLk7O3l7u7ufNld49zc3DgHrnGcA9c2fv/gHADnABorE/DAKwAAAACAwyP8AgAAAAAcHuEXDcLJyUkvvfSSnJycGrsUNBLOAXAOXNv4/YNzAJwDaOxzwGI09POlAQAAAABoYMz8AgAAAAAcHuEXAAAAAODwCL8AAAAAAIdH+AUAAAAAODzCLxpEfHy8AgIC5OzsrN69e2v79u2NXRIuwsyZM2WxWOxaWFiYubysrEzjx49X27Zt5erqqj//+c86cuSI3TZyc3N1xx13yMXFRe3atdOUKVNUVVVlNyYlJUU333yznJycFBwcrOXLlzfE4eF3tmzZoiFDhsjX11cWi0Xr16+3W24Yhl588UX5+PioZcuWio6OVlZWlt2YgoICjRw5Um5ubvLw8NCYMWNUUlJiN+aHH37QrbfeKmdnZ1mtVr322mvVavn0008VFhYmZ2dnhYeH68svv6z340V1f3QOjB49utp3QmxsrN0YzoGr15w5c9SzZ0+1bt1a7dq109ChQ7V//367MQ35vc/fEg2vLudAVFRUte+Bxx9/3G4M58DVKyEhQd26dZObm5vc3NzUt29fffXVV+byq+47wAAus5UrVxotWrQwli1bZvz000/Go48+anh4eBhHjhxp7NJwgV566SWja9euRl5entn++9//mssff/xxw2q1GklJScbOnTuNPn36GP369TOXV1VVGTfccIMRHR1t7N692/jyyy+N6667zpg+fbo55pdffjFcXFyMZ555xti7d6+xaNEio2nTpkZiYmKDHisM48svvzSef/55Y+3atYYkY926dXbL586da7i7uxvr1683/v3vfxt33nmnERgYaJw6dcocExsba3Tv3t3Ytm2b8e233xrBwcHGiBEjzOWFhYVG+/btjZEjRxp79uwxVqxYYbRs2dJ49913zTGpqalG06ZNjddee83Yu3ev8cILLxjNmzc3fvzxx8v+GVzr/ugcGDVqlBEbG2v3nVBQUGA3hnPg6hUTE2O8//77xp49e4yMjAzj9ttvNzp27GiUlJSYYxrqe5+/JRpHXc6ByMhI49FHH7X7HigsLDSXcw5c3TZs2GD885//NH7++Wdj//79xnPPPWc0b97c2LNnj2EYV993AOEXl12vXr2M8ePHmz+fPn3a8PX1NebMmdOIVeFivPTSS0b37t1rXHbixAmjefPmxqeffmr2ZWZmGpKMtLQ0wzDO/iHdpEkTIz8/3xyTkJBguLm5GeXl5YZhGMazzz5rdO3a1W7b999/vxETE1PPR4ML8fvgc+bMGcPb29uYP3++2XfixAnDycnJWLFihWEYhrF3715DkrFjxw5zzFdffWVYLBbj8OHDhmEYxuLFi402bdqYv3/DMIypU6canTt3Nn++7777jDvuuMOunt69exuPPfZYvR4jzq+28HvXXXfVug7ngGM5evSoIcn45ptvDMNo2O99/pa4Mvz+HDCMs+H3qaeeqnUdzgHH06ZNG+O99967Kr8DuOwZl1VFRYW+//57RUdHm31NmjRRdHS00tLSGrEyXKysrCz5+voqKChII0eOVG5uriTp+++/V2Vlpd3vOiwsTB07djR/12lpaQoPD1f79u3NMTExMSoqKtJPP/1kjvntNs6N4Xy5shw8eFD5+fl2vyt3d3f17t3b7vft4eGhW265xRwTHR2tJk2aKD093RwTERGhFi1amGNiYmK0f/9+HT9+3BzDOXHlSklJUbt27dS5c2f99a9/1bFjx8xlnAOOpbCwUJLk6ekpqeG+9/lb4srx+3PgnI8//ljXXXedbrjhBk2fPl0nT540l3EOOI7Tp09r5cqVKi0tVd++fa/K74BmF3bIwIX5f//v/+n06dN2J7wktW/fXvv27WukqnCxevfureXLl6tz587Ky8vTyy+/rFtvvVV79uxRfn6+WrRoIQ8PD7t12rdvr/z8fElSfn5+jefCuWXnG1NUVKRTp06pZcuWl+nocCHO/b5q+l399nfZrl07u+XNmjWTp6en3ZjAwMBq2zi3rE2bNrWeE+e2gcYTGxure+65R4GBgTpw4ICee+45DR48WGlpaWratCnngAM5c+aMnn76afXv31833HCDJDXY9/7x48f5W+IKUNM5IEkPPPCA/P395evrqx9++EFTp07V/v37tXbtWkmcA47gxx9/VN++fVVWViZXV1etW7dOXbp0UUZGxlX3HUD4BVBngwcPNv/drVs39e7dW/7+/lq9ejWhFLgGDR8+3Px3eHi4unXrpk6dOiklJUW33XZbI1aG+jZ+/Hjt2bNHW7dubexS0EhqOwfGjh1r/js8PFw+Pj667bbbdODAAXXq1Kmhy8Rl0LlzZ2VkZKiwsFCfffaZRo0apW+++aaxy7ooXPaMy+q6665T06ZNqz317ciRI/L29m6kqlBfPDw8FBoaquzsbHl7e6uiokInTpywG/Pb37W3t3eN58K5Zecb4+bmRsC+gpz7fZ3vv21vb28dPXrUbnlVVZUKCgrq5ZzgO+TKExQUpOuuu07Z2dmSOAccxRNPPKEvvvhCycnJ6tChg9nfUN/7/C3R+Go7B2rSu3dvSbL7HuAcuLq1aNFCwcHB6tGjh+bMmaPu3bvrrbfeuiq/Awi/uKxatGihHj16KCkpyew7c+aMkpKS1Ldv30asDPWhpKREBw4ckI+Pj3r06KHmzZvb/a7379+v3Nxc83fdt29f/fjjj3Z/DG/atElubm7q0qWLOea32zg3hvPlyhIYGChvb2+731VRUZHS09Ptft8nTpzQ999/b475+uuvdebMGfOPo759+2rLli2qrKw0x2zatEmdO3dWmzZtzDGcE1eHX3/9VceOHZOPj48kzoGrnWEYeuKJJ7Ru3Tp9/fXX1S5Pb6jvff6WaDx/dA7UJCMjQ5Lsvgc4BxzLmTNnVF5efnV+B1zQ47GAi7By5UrDycnJWL58ubF3715j7NixhoeHh91T33B1mDRpkpGSkmIcPHjQSE1NNaKjo43rrrvOOHr0qGEYZx9337FjR+Prr782du7cafTt29fo27evuf65x90PGjTIyMjIMBITEw0vL68aH3c/ZcoUIzMz04iPj+dVR42kuLjY2L17t7F7925DkvHGG28Yu3fvNv7zn/8YhnH2VUceHh7G559/bvzwww/GXXfdVeOrjm666SYjPT3d2Lp1qxESEmL3mpsTJ04Y7du3Nx588EFjz549xsqVKw0XF5dqr7lp1qyZ8frrrxuZmZnGSy+9xGtuGsj5zoHi4mJj8uTJRlpamnHw4EFj8+bNxs0332yEhIQYZWVl5jY4B65ef/3rXw13d3cjJSXF7jU2J0+eNMc01Pc+f0s0jj86B7Kzs41Zs2YZO3fuNA4ePGh8/vnnRlBQkBEREWFug3Pg6jZt2jTjm2++MQ4ePGj88MMPxrRp0wyLxWL861//Mgzj6vsOIPyiQSxatMjo2LGj0aJFC6NXr17Gtm3bGrskXIT777/f8PHxMVq0aGH4+fkZ999/v5GdnW0uP3XqlDFu3DijTZs2houLi3H33XcbeXl5dtvIyckxBg8ebLRs2dK47rrrjEmTJhmVlZV2Y5KTk40bb7zRaNGihREUFGS8//77DXF4+J3k5GRDUrU2atQowzDOvu5oxowZRvv27Q0nJyfjtttuM/bv32+3jWPHjhkjRowwXF1dDTc3N+Phhx82iouL7cb8+9//NgYMGGA4OTkZfn5+xty5c6vVsnr1aiM0NNRo0aKF0bVrV+Of//znZTtu/H/Odw6cPHnSGDRokOHl5WU0b97c8Pf3Nx599NFqf4hwDly9avrdS7L7Tm7I733+lmh4f3QO5ObmGhEREYanp6fh5ORkBAcHG1OmTLF7z69hcA5czeLi4gx/f3+jRYsWhpeXl3HbbbeZwdcwrr7vAIthGMaFzRUDAAAAAHB14Z5fAAAAAIDDI/wCAAAAABwe4RcAAAAA4PAIvwAAAAAAh0f4BQAAAAA4PMIvAAAAAMDhEX4BAAAAAA6P8AsAAAAAcHiEXwAAAACAwyP8AgCAC5afn68JEyYoKChITk5OslqtGjJkiDZu3KjrrrtOc+fOrXG9V155Re3bt1dlZaWWL18ui8VSrTk7Ozfw0QAArgXNGrsAAABwdcnJyVH//v3l4eGh+fPnKzw8XJWVldq4caOeeuop/eUvf9H777+vadOm2a1nGIaWL1+uhx56SM2bN5ckubm5af/+/XbjLBZLgx0LAODaQfgFAAAXZNy4cbJYLNq+fbtatWpl9nft2lVxcXE6dOiQ3nrrLW3dulUDBgwwl3/zzTf65ZdfNGbMGLPPYrHI29u71n199tlnevnll5WdnS0XFxfddNNN+vzzz+32CwBAXXDZMwAAqLOCggIlJiZq/PjxNQZQDw8PhYeHq2fPnlq2bJndsvfff1/9+vVTWFhYnfaVl5enESNGKC4uTpmZmUpJSdE999wjwzDq5VgAANcWwi8AAKiz7OxsGYbxhwF2zJgx+vTTT1VSUiJJKi4u1meffaa4uDi7cYWFhXJ1dbVrgwcPlnQ2/FZVVemee+5RQECAwsPDNW7cOLm6ul6egwMAODTCLwAAqLO6zrqOGDFCp0+f1urVqyVJq1atUpMmTXT//ffbjWvdurUyMjLs2nvvvSdJ6t69u2677TaFh4dr2LBhWrJkiY4fP16/BwQAuGYQfgEAQJ2FhITIYrFo37595x3n5uame++9V++//76ks5c833fffdVmbZs0aaLg4GC75ufnJ0lq2rSpNm3apK+++kpdunTRokWL1LlzZx08ePDyHBwAwKERfgEAQJ15enoqJiZG8fHxKi0trbb8xIkT5r/HjBmjrVu36osvvtB3331n96CrurJYLOrfv79efvll7d69Wy1atNC6desu5RAAANconvYMAAAuSHx8vPr3769evXpp1qxZ6tatm6qqqrRp0yYlJCQoMzNTkhQREaHg4GA99NBDCgsLU79+/aptyzAM5efnV+tv166dduzYoaSkJA0aNEjt2rVTenq6/vvf/+r666+/7McIAHA8hF8AAHBBgoKCtGvXLr366quaNGmS8vLy5OXlpR49eighIcEcZ7FYFBcXp+eee07Tp0+vcVtFRUXy8fGp1p+Xlyc3Nzdt2bJFb775poqKiuTv768FCxaYD8QCAOBCWAzeFwAAAAAAcHDc8wsAAAAAcHiEXwAAAACAwyP8AgAAAAAcHuEXAAAAAODwCL8AAAAAAIdH+AUAAAAAODzCLwAAAADA4RF+AQAAAAAOj/ALAAAAAHB4hF8AAAAAgMMj/AIAAAAAHN7/D1D75CI17ypWAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1000x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "nvd_cwe = nvd['CWE'].value_counts()\n",
+    "nvd_cwe = nvd_cwe.reset_index()\n",
+    "nvd_cwe.columns = ['CWE', 'CVEs']\n",
+    "nvd_cwe_graph = nvd_cwe[nvd_cwe.CVEs > 10].head(25)\n",
+    "plt.figure(figsize=(10,10));\n",
+    "plt.barh(\"CWE\", \"CVEs\", data = nvd_cwe_graph, color=\"#001d82\");\n",
+    "plt.xlabel(\"CVEs\"); \n",
+    "plt.ylabel(\"CWE\") ;\n",
+    "plt.title(\"Most Common CWE in CVE Records\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1cbec814-905a-4028-b72f-98da5081b10d",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "source": [
+    "\n",
+    "\n",
+    "## More CVE Data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5dbbc915",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "source": [
+    "\n",
+    "\n",
+    "\n",
+    "### Top CNA Assigner"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "04a26e54",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:14.777715Z",
+     "iopub.status.busy": "2024-06-05T08:06:14.777384Z",
+     "iopub.status.idle": "2024-06-05T08:06:14.791105Z",
+     "shell.execute_reply": "2024-06-05T08:06:14.790583Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table id=\"itables_35b95616_5c47_48ea_a58c_c38931225111\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      \n",
+       "      <th>Assigner</th>\n",
+       "      <th>CVEs</th>\n",
+       "      <th>Percentage</th>\n",
+       "    </tr>\n",
+       "  </thead><tbody><tr>\n",
+       "<td style=\"vertical-align:middle; text-align:left\">\n",
+       "<div style=\"float:left; margin-right: 10px;\">\n",
+       "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
+       "width=\"64\" viewBox=\"0 0 500 400\" style=\"font-family: 'Droid Sans', sans-serif;\">\n",
+       "    <g style=\"fill:#d9d7fc\">\n",
+       "        <path d=\"M100,400H500V357H100Z\" />\n",
+       "        <path d=\"M100,300H400V257H100Z\" />\n",
+       "        <path d=\"M0,200H400V157H0Z\" />\n",
+       "        <path d=\"M100,100H500V57H100Z\" />\n",
+       "        <path d=\"M100,350H500V307H100Z\" />\n",
+       "        <path d=\"M100,250H400V207H100Z\" />\n",
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+       "Loading ITables v2.1.0 from the internet...\n",
+       "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
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+       "\n",
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+       "        const data = [[\"cve@mitre.org\", 104962, 42.0], [\"secalert@redhat.com\", 11472, 5.0], [\"secure@microsoft.com\", 10528, 4.0], [\"secalert_us@oracle.com\", 7894, 3.0], [\"product-security@apple.com\", 6791, 3.0], [\"psirt@us.ibm.com\", 6744, 3.0], [\"security-advisories@github.com\", 5987, 2.0], [\"ykramarz@cisco.com\", 5672, 2.0], [\"psirt@adobe.com\", 5593, 2.0], [\"security@android.com\", 4608, 2.0], [\"audit@patchstack.com\", 4292, 2.0], [\"cna@vuldb.com\", 4234, 2.0], [\"secure@intel.com\", 3434, 1.0], [\"cret@cert.org\", 3238, 1.0], [\"chrome-cve-admin@google.com\", 3226, 1.0], [\"contact@wpscan.com\", 3196, 1.0], [\"product-security@qualcomm.com\", 3193, 1.0], [\"ics-cert@hq.dhs.gov\", 3012, 1.0], [\"security@wordfence.com\", 2751, 1.0], [\"vultures@jpcert.or.jp\", 2624, 1.0], [\"zdi-disclosures@trendmicro.com\", 2305, 1.0], [\"talos-cna@cisco.com\", 2200, 1.0], [\"416baaa9-dc9f-4396-8d5f-8c081fb06d67\", 2044, 1.0], [\"security@mozilla.org\", 1957, 1.0], [\"psirt@huawei.com\", 1867, 1.0], [\"security@huntr.dev\", 1793, 1.0], [\"security_alert@emc.com\", 1709, 1.0], [\"security@apache.org\", 1449, 1.0], [\"support@hackerone.com\", 1364, 1.0], [\"jenkinsci-cert@googlegroups.com\", 1339, 1.0], [\"productcert@siemens.com\", 1330, 1.0], [\"security-alert@hpe.com\", 1319, 1.0], [\"cna@sap.com\", 1220, 0.0], [\"mobile.security@samsung.com\", 906, 0.0], [\"hp-security-alert@hp.com\", 897, 0.0], [\"sirt@juniper.net\", 793, 0.0], [\"f5sirt@f5.com\", 790, 0.0], [\"security@debian.org\", 788, 0.0], [\"report@snyk.io\", 764, 0.0], [\"cve@gitlab.com\", 753, 0.0], [\"security@mediatek.com\", 724, 0.0], [\"psirt@nvidia.com\", 638, 0.0], [\"psirt@fortinet.com\", 635, 0.0], [\"cybersecurity@se.com\", 607, 0.0], [\"security@vmware.com\", 600, 0.0], [\"security@unisoc.com\", 590, 0.0], [\"security@opentext.com\", 572, 0.0], [\"psirt@lenovo.com\", 507, 0.0], [\"PSIRT-CNA@flexerasoftware.com\", 499, 0.0], [\"twcert@cert.org.tw\", 494, 0.0], [\"vulnreport@tenable.com\", 486, 0.0], [\"cve-coordination@incibe.es\", 440, 0.0], [\"security@atlassian.com\", 432, 0.0], [\"info@cert.vde.com\", 425, 0.0], [\"security@trendmicro.com\", 416, 0.0], [\"security@ubuntu.com\", 405, 0.0], [\"psirt@amd.com\", 391, 0.0], [\"trellixpsirt@trellix.com\", 373, 0.0], [\"secure@symantec.com\", 339, 0.0], [\"help@fluidattacks.com\", 316, 0.0], [\"psirt@paloaltonetworks.com\", 273, 0.0], [\"security@qnapsecurity.com.tw\", 270, 0.0], [\"iletisim@usom.gov.tr\", 237, 0.0], [\"psirt@hcl.com\", 228, 0.0], [\"cve@rapid7.com\", 225, 0.0], [\"security@synology.com\", 222, 0.0], [\"cve-coordination@google.com\", 216, 0.0], [\"vulnerabilitylab@mend.io\", 196, 0.0], [\"vuln@krcert.or.kr\", 195, 0.0], [\"patrick@puiterwijk.org\", 189, 0.0], [\"secteam@freebsd.org\", 181, 0.0], [\"josh@bress.net\", 174, 0.0], [\"psirt@autodesk.com\", 166, 0.0], [\"security@tibco.com\", 166, 0.0], [\"bressers@elastic.co\", 166, 0.0], [\"security-alert@netapp.com\", 165, 0.0], [\"psirt@zte.com.cn\", 162, 0.0], [\"cna@cyber.gov.il\", 161, 0.0], [\"security@pivotal.io\", 160, 0.0], [\"responsibledisclosure@mattermost.com\", 158, 0.0], [\"cve-assign@fb.com\", 152, 0.0], [\"cve@jetbrains.com\", 146, 0.0], [\"vulnerability@kaspersky.com\", 144, 0.0], [\"sirt@brocade.com\", 133, 0.0], [\"security@zoom.us\", 129, 0.0], [\"PSIRT@sonicwall.com\", 128, 0.0], [\"emo@eclipse.org\", 127, 0.0], [\"cybersecurity@ch.abb.com\", 127, 0.0], [\"cve-requests@bitdefender.com\", 126, 0.0], [\"psirt@solarwinds.com\", 122, 0.0], [\"meissner@suse.de\", 121, 0.0], [\"vulnerabilities@zephyrproject.org\", 118, 0.0], [\"security-officer@isc.org\", 118, 0.0], [\"openssl-security@openssl.org\", 117, 0.0], [\"security@joomla.org\", 116, 0.0], [\"security@xen.org\", 114, 0.0], [\"CybersecurityCOE@eaton.com\", 113, 0.0], [\"dsap-vuln-management@google.com\", 104, 0.0], [\"security@golang.org\", 103, 0.0], [\"Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp\", 103, 0.0], 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0.0], [\"psirt-info@cyber.jp.nec.com\", 41, 0.0], [\"security@xiaomi.com\", 41, 0.0], [\"info@starlabs.sg\", 40, 0.0], [\"security@hashicorp.com\", 39, 0.0], [\"cve-coordination@palantir.com\", 37, 0.0], [\"disclosure@vulncheck.com\", 36, 0.0], [\"psirt@honeywell.com\", 36, 0.0], [\"sec@hillstonenet.com\", 36, 0.0], [\"cve@zscaler.com\", 35, 0.0], [\"security@zabbix.com\", 34, 0.0], [\"disclosures@exodusintel.com\", 34, 0.0], [\"paddle-security@baidu.com\", 33, 0.0], [\"responsible-disclosure@pingidentity.com\", 33, 0.0], [\"security@m-files.com\", 33, 0.0], [\"security@pandorafms.com\", 33, 0.0], [\"psirt@moxa.com\", 33, 0.0], [\"secure@citrix.com\", 33, 0.0], [\"psirt@arista.com\", 31, 0.0], [\"biossecurity@ami.com\", 31, 0.0], [\"3836d913-7555-4dd0-a509-f5667fdf5fe4\", 30, 0.0], [\"product-security@axis.com\", 30, 0.0], [\"cve@aliasrobotics.com\", 29, 0.0], [\"browser-security@yandex-team.ru\", 28, 0.0], [\"security.vulnerabilities@hitachivantara.com\", 27, 0.0], 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0.0], [\"cves@blacklanternsecurity.com\", 2, 0.0], [\"8a9629cb-c5e7-4d2a-a894-111e8039b7ea\", 2, 0.0], [\"15c01472-ff32-4bec-916d-912e60a9fe4c\", 2, 0.0], [\"security.vulnerabilities@algosec.com\", 2, 0.0], [\"zowe-security@lists.openmainframeproject.org\", 2, 0.0], [\"info@cybellum.com\", 2, 0.0], [\"incident@nbu.gov.sk\", 2, 0.0], [\"cve@profelis.com.tr\", 2, 0.0], [\"68870bb1-d075-4169-957d-e580b18692b9\", 1, 0.0], [\"5d1c2695-1a31-4499-88ae-e847036fd7e3\", 1, 0.0], [\"20be33e2-bf35-4d13-8fad-18bd2f3e3659\", 1, 0.0], [\"56c94bcb-ac34-4d7f-b660-d297a6b7ff82\", 1, 0.0], [\"productsecurity@bbraun.com\", 1, 0.0], [\"security@genetec.com\", 1, 0.0], [\"alibaba-cna@list.alibaba-inc.com\", 1, 0.0], [\"85b1779b-6ecd-4f52-bcc5-73eac4659dcf\", 1, 0.0], [\"7168b535-132a-4efe-a076-338f829b2eb9\", 1, 0.0], [\"secure@ea.com\", 1, 0.0], [\"96d4e157-0bf0-48b3-8efd-382c68caf4e0\", 1, 0.0], [\"7bd90cf1-1651-495e-9ae8-9415fb3c9feb\", 1, 0.0], [\"security@opencloudos.tech\", 1, 0.0], [\"security@replicated.com\", 1, 0.0], [\"2fdefc65-d750-4b8d-96ee-6e2c0c42dbfe\", 1, 0.0], [\"security@deepsurface.com\", 1, 0.0], [\"info@greenrocketsecurity.com\", 1, 0.0], [\"security@mimsoftware.com\", 1, 0.0], [\"security@illumio.com\", 1, 0.0], [\"36106deb-8e95-420b-a0a0-e70af5d245df\", 1, 0.0], [\"769c9ae7-73c3-4e47-ae19-903170fc3eb8\", 1, 0.0], [\"a6d3dc9e-0591-4a13-bce7-0f5b31ff6158\", 1, 0.0]];\n",
+       "\n",
+       "        // Define the dt_args\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        dt_args[\"data\"] = data;\n",
+       "\n",
+       "        \n",
+       "        new DataTable(table, dt_args);\n",
+       "    });\n",
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+    "show(nvd_frequency, scrollY=\"400px\", scrollCollapse=True, paging=False)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "0aa62111",
+   "metadata": {},
+   "source": [
+    "### Top CWEs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "91304fc7",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:14.793146Z",
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+     "iopub.status.idle": "2024-06-05T08:06:14.799499Z",
+     "shell.execute_reply": "2024-06-05T08:06:14.798992Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
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+   "outputs": [
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+       "<thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      \n",
+       "      <th>CWE</th>\n",
+       "      <th>CVEs</th>\n",
+       "    </tr>\n",
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+       "<div>\n",
+       "Loading ITables v2.1.0 from the internet...\n",
+       "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
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+       "\n",
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1], [\"CWE-1107\", 1], [\"CWE-465\", 1], [\"CWE-249\", 1], [\"CWE-764\", 1], [\"CWE-393\", 1], [\"CWE-232\", 1], [\"CWE-372\", 1], [\"CWE-759\", 1], [\"CWE-671\", 1], [\"CWE-187\", 1], [\"CWE-571\", 1], [\"CWE-1270\", 1], [\"CWE-544\", 1], [\"CWE-758\", 1], [\"CWE-1258\", 1], [\"CWE-28\", 1], [\"CWE-263\", 1], [\"CWE-1230\", 1], [\"CWE-146\", 1], [\"CWE-590\", 1], [\"CWE-690\", 1], [\"CWE-1108\", 1], [\"CWE-692\", 1], [\"CWE-1103\", 1], [\"CWE-167\", 1], [\"CWE-1026\", 1], [\"CWE-597\", 1], [\"CWE-562\", 1], [\"CWE-1282\", 1], [\"CWE-455\", 1], [\"CWE-641\", 1], [\"CWE-337\", 1], [\"CWE-1285\", 1], [\"CWE-278\", 1], [\"CWE-127\", 1], [\"CWE-363\", 1], [\"CWE-507\", 1], [\"CWE-573\", 1], [\"CWE-182\", 1], [\"CWE-64\", 1], [\"CWE-527\", 1], [\"CWE-229\", 1], [\"CWE-782\", 1], [\"CWE-213\", 1], [\"CWE-215\", 1], [\"CWE-1018\", 1], [\"CWE-364\", 1], [\"CWE-837\", 1], [\"CWE-270\", 1], [\"CWE-649\", 1], [\"CWE-710\", 1], [\"CWE-231\", 1], [\"CWE-1049\", 1], [\"CWE-149\", 1], [\"CWE-807\", 1], [\"CWE-315\", 1], [\"CWE-1278\", 1], [\"CWE-1241\", 1], [\"CWE-836\", 1], [\"CWE-1329\", 1], [\"CWE-636\", 1], [\"CWE-240\", 1], [\"CWE-839\", 1], [\"CWE-656\", 1]];\n",
+       "\n",
+       "        // Define the dt_args\n",
+       "        let dt_args = {\"scrollY\": \"400px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        dt_args[\"data\"] = data;\n",
+       "\n",
+       "        \n",
+       "        new DataTable(table, dt_args);\n",
+       "    });\n",
+       "</script>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "show(nvd_cwe, scrollY=\"400px\", scrollCollapse=True, paging=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a79bb81d-6c28-4790-980c-ed4dcfaeade9",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "source": [
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "### CVEs By Year Published"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "a6fe65a3-4607-4388-ab0b-6df705e5ba50",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:14.801622Z",
+     "iopub.status.busy": "2024-06-05T08:06:14.801236Z",
+     "iopub.status.idle": "2024-06-05T08:06:14.807278Z",
+     "shell.execute_reply": "2024-06-05T08:06:14.806839Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table id=\"itables_58d3c0ba_3ad5_4e95_8467_05e05050081e\" class=\"display nowrap\" data-quarto-disable-processing=\"true\" style=\"table-layout:auto;width:auto\">\n",
+       "<thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Count</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Published</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead><tbody><tr>\n",
+       "<td style=\"vertical-align:middle; text-align:left\">\n",
+       "<div style=\"float:left; margin-right: 10px;\">\n",
+       "<a href=https://mwouts.github.io/itables/><svg class=\"main-svg\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
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+       "    <g style=\"fill:#d9d7fc\">\n",
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+       "        <path d=\"M100,50H500V7H100Z\" />\n",
+       "    </g>\n",
+       "    <g style=\"fill:#1a1366;stroke:#1a1366;\">\n",
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+       "      values=\"0;400;0\"\n",
+       "      dur=\"5s\"\n",
+       "      repeatCount=\"indefinite\" />\n",
+       "      <animate\n",
+       "      attributeName=\"x\"\n",
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+       "      repeatCount=\"indefinite\" />\n",
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+       "    <animate\n",
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+       "      repeatCount=\"indefinite\" />\n",
+       "      <animate\n",
+       "      attributeName=\"x\"\n",
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+       "\n",
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+       "        </g>\n",
+       "    </g>\n",
+       "</svg>\n",
+       "</a>\n",
+       "</div>\n",
+       "<div>\n",
+       "Loading ITables v2.1.0 from the internet...\n",
+       "(need <a href=https://mwouts.github.io/itables/troubleshooting.html>help</a>?)</td>\n",
+       "</div>\n",
+       "</tr></tbody>\n",
+       "\n",
+       "</table>\n",
+       "<link href=\"https://www.unpkg.com/dt_for_itables@2.0.7/dt_bundle.css\" rel=\"stylesheet\">\n",
+       "<script type=\"module\">\n",
+       "    import {DataTable, jQuery as $} from 'https://www.unpkg.com/dt_for_itables@2.0.7/dt_bundle.js';\n",
+       "\n",
+       "    document.querySelectorAll(\"#itables_58d3c0ba_3ad5_4e95_8467_05e05050081e:not(.dataTable)\").forEach(table => {\n",
+       "        // Define the table data\n",
+       "        const data = [[\"1988\", 2], [\"1989\", 3], [\"1990\", 11], [\"1991\", 15], [\"1992\", 14], [\"1993\", 13], [\"1994\", 26], [\"1995\", 25], [\"1996\", 75], [\"1997\", 253], [\"1998\", 247], [\"1999\", 923], [\"2000\", 1020], [\"2001\", 1679], [\"2002\", 2170], [\"2003\", 1548], [\"2004\", 2479], [\"2005\", 5010], [\"2006\", 6659], [\"2007\", 6596], [\"2008\", 5664], [\"2009\", 5778], [\"2010\", 4667], [\"2011\", 4172], [\"2012\", 5351], [\"2013\", 5324], [\"2014\", 8008], [\"2015\", 6595], [\"2016\", 6517], [\"2017\", 18113], [\"2018\", 18154], [\"2019\", 18938], [\"2020\", 19222], [\"2021\", 21950], [\"2022\", 26431], [\"2023\", 30949], [\"2024\", 18088]];\n",
+       "\n",
+       "        // Define the dt_args\n",
+       "        let dt_args = {\"scrollY\": \"600px\", \"scrollCollapse\": true, \"paging\": false, \"dom\": \"tpir\", \"order\": []};\n",
+       "        dt_args[\"data\"] = data;\n",
+       "\n",
+       "        \n",
+       "        new DataTable(table, dt_args);\n",
+       "    });\n",
+       "</script>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "yg_df = pd.DataFrame(Year_Graph)\n",
+    "yg_df.columns = ['Count']\n",
+    "yg_df.reset_index()\n",
+    "show(yg_df, scrollY=\"600px\", scrollCollapse=True, paging=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aa164366-d0e6-4ca5-890b-95ea69f2801c",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "source": [
+    "\n",
+    "\n",
+    "\n",
+    "### CVEs By Identifier"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "661f28f1-9568-4e97-acb3-75e45e596f1f",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:14.809423Z",
+     "iopub.status.busy": "2024-06-05T08:06:14.809113Z",
+     "iopub.status.idle": "2024-06-05T08:06:16.907718Z",
+     "shell.execute_reply": "2024-06-05T08:06:16.907205Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CVE-1999:\t1579\n",
+      "CVE-2000:\t1242\n",
+      "CVE-2001:\t1556\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CVE-2002:\t2392\n",
+      "CVE-2003:\t1553\n",
+      "CVE-2004:\t2707\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CVE-2005:\t4766\n",
+      "CVE-2006:\t7142\n",
+      "CVE-2007:\t6580\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CVE-2008:\t7176\n",
+      "CVE-2009:\t5040\n",
+      "CVE-2010:\t5217\n",
+      "CVE-2011:\t4861\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CVE-2012:\t5891\n",
+      "CVE-2013:\t6780\n",
+      "CVE-2014:\t8981\n",
+      "CVE-2015:\t8747\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CVE-2016:\t10548\n",
+      "CVE-2017:\t16981\n",
+      "CVE-2018:\t17351\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CVE-2019:\t16981\n",
+      "CVE-2020:\t20476\n",
+      "CVE-2021:\t22822\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CVE-2022:\t24760\n",
+      "CVE-2023:\t28129\n",
+      "CVE-2024:\t12431\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"CVE-1999:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-1999-')]))\n",
+    "print(\"CVE-2000:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2000-')]))\n",
+    "print(\"CVE-2001:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2001-')]))\n",
+    "print(\"CVE-2002:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2002-')]))\n",
+    "print(\"CVE-2003:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2003-')]))\n",
+    "print(\"CVE-2004:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2004-')]))\n",
+    "print(\"CVE-2005:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2005-')]))\n",
+    "print(\"CVE-2006:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2006-')]))\n",
+    "print(\"CVE-2007:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2007-')]))\n",
+    "print(\"CVE-2008:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2008-')]))\n",
+    "print(\"CVE-2009:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2009-')]))\n",
+    "print(\"CVE-2010:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2010-')]))\n",
+    "print(\"CVE-2011:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2011-')]))\n",
+    "print(\"CVE-2012:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2012-')]))\n",
+    "print(\"CVE-2013:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2013-')]))\n",
+    "print(\"CVE-2014:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2014-')]))\n",
+    "print(\"CVE-2015:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2015-')]))\n",
+    "print(\"CVE-2016:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2016-')]))\n",
+    "print(\"CVE-2017:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2017-')]))\n",
+    "print(\"CVE-2018:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2018-')]))\n",
+    "print(\"CVE-2019:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2019-')]))\n",
+    "print(\"CVE-2020:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2020-')]))\n",
+    "print(\"CVE-2021:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2021-')]))\n",
+    "print(\"CVE-2022:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2022-')]))\n",
+    "print(\"CVE-2023:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2023-')]))\n",
+    "print(\"CVE-2024:\\t%s\" % len(nvd[nvd['CVE'].str.contains('CVE-2024-')]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "20ee3a71",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-06-05T08:06:16.909934Z",
+     "iopub.status.busy": "2024-06-05T08:06:16.909593Z",
+     "iopub.status.idle": "2024-06-05T08:06:16.913588Z",
+     "shell.execute_reply": "2024-06-05T08:06:16.913035Z"
+    },
+    "tags": [
+     "remove-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "This report is updated automatically every day, last generated on: **2024-06-05 08:06:16.910605**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Markdown(f\"This report is updated automatically every day, last generated on: **{datetime.datetime.now()}**\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}