diff --git a/Eksamensprojekt_4__semester.ipynb b/Eksamensprojekt_4__semester.ipynb
index e97fb8385..63df6fa7a 100644
--- a/Eksamensprojekt_4__semester.ipynb
+++ b/Eksamensprojekt_4__semester.ipynb
@@ -4,8 +4,11 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "toc_visible": true,
-      "authorship_tag": "ABX9TyOd4wk2c0B9PgIjf79OU49k",
+      "collapsed_sections": [
+        "jdpl1tq-mPY0",
+        "pmrzmPx4MnjE"
+      ],
+      "authorship_tag": "ABX9TyPX9T9/Zh9SYGGSPmx/O9lZ",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -42,9 +45,9 @@
         "Et projekt af Karin Knopper\n",
         "\n",
         "\n",
-        "## Fagelementer og omfang:\n",
+        "## Fagelementer og omfang\n",
         "\n",
-        "*   AI/ ML (5 ECTS)\n",
+        "*   AI (5 ECTS)\n",
         "\n",
         "*   Toning\n",
         "  *   Power BI (20 ECTS)\n",
@@ -58,7 +61,10 @@
     {
       "cell_type": "markdown",
       "source": [
-        "# **Beskrivelse af projektet**"
+        "# **Beskrivelse af projektet**\n",
+        "* Hvordan kan Jupyter Notebook hjælpe med dataanalyseringsprocessen.\n",
+        "* Hvordan kan Power BI bruges til at vaske og visualisere data.\n",
+        "* Hvordan kan man bruge python til dataanalyse i Power BI og Jupyter Notebook."
       ],
       "metadata": {
         "id": "5laDvlQQONc7"
@@ -67,30 +73,75 @@
     {
       "cell_type": "markdown",
       "source": [
-        "Jeg har valgt at lave et projekt med data fra real life elmålere til det har jeg brugt\n",
+        "## Jupyter Notebook som arbejdsredskab\n",
         "\n",
-        "*   Jupyter notebook som arbejdsredskab til at skrive rapport, lave kode eksempler\n",
-        "*   Power BI til\n",
-        "    *   Indsamling af data\n",
-        "    *   Vask af data\n",
-        "    *   Visualisering\n",
+        "Jupyter Notebook er en interaktiv notesbog, der kan bruges til at skrive og køre kode, skabe visualiseringer og lave rapporter. Koden kan testes direkte i dokumentet uden, at det skal overføres til visual studio eller lignende. Det er et populært værktøj blandt videnskabsfolk og dataanalytikere, der ofte har behov for at eksperimentere med og teste kode.\n",
         "\n",
-        "*   AI/ML\n",
-        "*   Python\n",
+        "Det er også muligt at integrere Jupyter Notebook og Power BI og tilsammen udgør det en stærk duo. F eks er datavask af store mængder data nemt at gøre med python i Jupyter Notebook og så kan man bruge Power BI til at skabe visualiseringer bygget på de vaskede data.\n",
         "\n",
-        "\n"
+        "Indenfor maskinlæring kan man bruge Jupyter Notebook til at træne og teste modellen og så bruge Power BI til at skabe visualiseringer, der viser modellens forudsigelser.\n",
+        "\n",
+        "\n",
+        "Som standard er der meget få muligheder for at ændre layout, men man kan bruge html til at få det gjort lidt mere præsentabelt\n",
+        "\n",
+        "<br>\n",
+        "<br>\n",
+        "Man kan f eks centrere tekst, ændre farve og størrelse: (men bruger man 'br' til linjeskift, sker der noget med skriften)\n",
+        "<br>\n",
+        "<br>\n",
+        "<font color='red', size=\"5\">\n",
+        "<center>Således</center>\n",
+        "</font>\n",
+        "\n",
+        "\n",
+        "Istedet for at skrive side op og side ned om Jupyter Notebook har jeg valgt at bruge den til min rapport som demonstration af mulighederne."
       ],
       "metadata": {
-        "id": "XijPHAgTMzS0"
+        "id": "1l9kJ5WPWLYx"
       }
     },
     {
       "cell_type": "markdown",
       "source": [
-        "## Kunstig intelligens og machine learning"
+        "## Power BI\n",
+        "Trods mulighederne for at bruge python til at hente og vaske data, har jeg brugt Power BI til dette projekt.\n",
+        "\n",
+        "<br>\n",
+        "\n",
+        "### Indsamling af data\n",
+        "\n",
+        "Til mit projekt gik jeg ind i DMI's vejrarkiv og fandt vejrdata for den sidste uge. Jeg kunne kun få timebaserede oplysninger med, hvis jeg hentede en fil pr døgn, så jeg hentede 7 cvs filer med timedata for solskinstimer og 7 csv filer for vinddata. Dernæst fandt jeg priser på strøm på andelenergi.dk, hvor jeg kunne finde timepriser for de foregående tre dage og estimerede priser for de kommende tre dage og downloade det som en csv fil. Derudover har jeg også brugt excel filer fra GEV med oplysninger om kunder, adresser og installationer.\n",
+        "Så åbnede jeg Power BI og importerede de 19 filer med de data, jeg skulle bruge. \n",
+        "\n",
+        "<br>\n",
+        "\n",
+        "### Vask af data\n",
+        "Det første, vigtigste og mest tidskrævende, der skulle ske med dataene var, at de skulle gøres brugbare, dvs vaskes. Så jeg gik ind i \"Transform data\". Der startede jeg med at sammenlægge de 7 filer med solskinstimer til en tabel og det samme med vinddata. Så tjekkede jeg, at datatyperne var korrekte og at alt så pænt ud.\n",
+        "Filen med elpriserne krævede mere arbejde. Her var datoformatet helt forkert, så den ville ikke acceptere typen som DateTime. Jeg brugte \"replace values\" til at erstatte bindestreg med mellemrum og punktum med bindestreg (rækkefølgen var ret vigtig!). Så kunne jeg ændre typen til DateTime og typen i de tre kolonner med priser kunne jeg ændre til \"fixed decimal number\" der automatisk bliver til valuta.\n",
+        "\n",
+        "I de fire filer fra GEV kunne jeg se, at der i den ene tabel var 122 kolonner og mange null værdier. Jeg startede med at fjerne alle unødvendige kolonner ved at markere dem, jeg skulle bruge og vælge \"remove other columns\". Så omdøbte jeg nogle af kolonnerne for at gøre det mere forklarende (bogstavsal til bogstav), tjekkede at værdierne var rigtige, gik ind i \"View\" og så på column quality for at finde fejl og tomme værdier og tage stilling til dem, så fjernede jeg duplicates og arrangerede kolonnerne i en logisk rækkefølge. Jeg brugte også clean og trim og erstattede forskellige values, f eks \"Beboeren\" med \"beboeren\". Det gjorde jeg i alle 4 tabeller.\n",
+        "\n",
+        "Man kan også bruge \"Data view\" til at vaske data, f eks sætte punktummer i store tal så 1302980 bliver til 1.302.980,00 eller ændre format, datatype, foretage summering og vælge kategori f eks \"Adresse\", så man kan bruge kortfunktionen.\n",
+        "\n",
+        "Det er en god idé at være grundig i denne datavask, da det siges at det koster 10 dollars at finde en fejl, 100 dollars at rette den, men $1.000 at ignorere den...\n",
+        "\n",
+        "\n",
+        "<br>\n",
+        "\n",
+        "### Visualisering\n",
+        "Nu var tabellerne gjort brugbare og så skulle jeg have styr på relationerne. Vind, sol og priser var ligetil, da det var DateTime, der forbandt dem alle. Det var straks mere interessant med de fire GEV tabeller, da de både skulle forbindes på installationsnumre, kundenumre, firmanumre og målernumre.\n",
+        "<br>\n",
+        "Nu skulle jeg så tage stilling til, hvad jeg ville fortælle. Jeg kunne f eks se om antal solskinstimer og vindstyrke havde nogen indflydelse på elprisen. Eller jeg kunne se, hvor mange kunder, der har mere end en installation og om det er solceller eller ej. \n",
+        "\n",
+        "<br>\n",
+        "\n",
+        "### Hvad kan jeg bruge det til?\n",
+        "Her kommer AI så ind i billedet, for når man har en masse historiske data på elpriser og vejrforhold kan man træne disse data til at forudsige elpriser ved hjælp af vejrudsigterne. Så kan man f eks vælge at sende elvarme ud i fjernvarmeanlæggene når prisen er lav istedet for at bruge træpiller, gas eller hvad man ellers bruger. Hvis kunderne har adgang til disse visualiseringer kan de se, hvornår det er godt at starte vaskemaskinen eller støvsugeren, især hvis man har solceller på taget.\n",
+        "\n",
+        "Noget af det er der allerede tænkt på, men jeg tror, at man kun lige har kradset i overfladen mht mulighederne.\n"
       ],
       "metadata": {
-        "id": "wUQKqlEPOh44"
+        "id": "XijPHAgTMzS0"
       }
     },
     {
@@ -98,7 +149,9 @@
       "source": [
         "## Python\n",
         "\n",
-        "Python og dataanalyse går hånd i hånd. ;an kan lave en dataframe i python ved hjælp af lister. Man kan vælge kun at vise enkelte kolonner eller rækker. Man kan lave endimensionelle arrays om til flerdimensionelle"
+        "Som beskrevet tidligere går python og dataanalyse hånd i hånd. Meget af det man kan lave i Power BI ved hjælp af drag'n'drop, kan man også lave med pythonkode. Det kræver, at man importerer nogle biblioteker og værktøjer, hvilket er meget nemt når man bruger Jupyter Notebook. Nedenunder har jeg forsøgt at hente tre csv filer og lave den samme visualisering som i Power BI, men der er lige nogle ting, der skal arbejdes på...\n",
+        "\n",
+        "Jeg havde problemer med den ene csv fil da jeg hverken kunne bruge komma eller kolon til at separere, så jeg brugte tabulator, men den bliver læst forkert ind, så jeg har kun en kolonne med et meget langt navn og sære værdier."
       ],
       "metadata": {
         "id": "jdpl1tq-mPY0"
@@ -107,21 +160,378 @@
     {
       "cell_type": "markdown",
       "source": [
-        "## <center>Jupyter Notebook</center>\n",
-        "<font color='red'>\n",
-        "Jupyter notebook er en interaktiv notesbog. Dens begrænsninger er at man ikke umiddelbart kan lave et flot layout med farver, forskellige skrift typer\n",
-        "</font>\n",
-        "\n",
-        "\n",
-        "<font size=\"16\">virker det?</font>\n",
+        "Først skal jeg kunne hente filerne. Det kan gøres på flere måder og efter sigende er det nemmest at gøre via gitHub, men jeg valgte denne metode med at bruge google drive...\n",
+        "Jeg starter med at importere pandas, så jeg kan opbygge en dataframe. Der er et standard alias -pd, og en indbygget funktion til at læse filerne -pd.read_csv og det gemmer jeg i en DataFrame variabel."
+      ],
+      "metadata": {
+        "id": "fI7GRQgRf93a"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd\n",
+        "from google.colab import drive\n",
         "\n",
+        "drive.mount('/content/drive')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "CICRLmziBu_Q",
+        "outputId": "24179be0-70ce-4704-f3c0-de08f6bf6df2"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Mounted at /content/drive\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Så printer jeg tabellerne, så jeg kan se kolonnenavnene. "
+      ],
+      "metadata": {
+        "id": "Yz0sz6fcnFOk"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "sol = pd.read_csv('/content/drive/MyDrive/Eksamen_4_semester/Solskinstimer.csv')\n",
         "\n",
-        "<p align=\"center\">Hvad med nu?</p>\n"
+        "print(sol)"
       ],
       "metadata": {
-        "id": "1l9kJ5WPWLYx"
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "L-eFbtl_udxg",
+        "outputId": "ebd48348-1d06-4936-86bc-1a1fa8024709"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "                DateTime  Sum of Solskin\n",
+            "0    2023-05-13 00:00:00             0.0\n",
+            "1    2023-05-13 01:00:00             0.0\n",
+            "2    2023-05-13 02:00:00             0.0\n",
+            "3    2023-05-13 03:00:00             0.0\n",
+            "4    2023-05-13 04:00:00             0.0\n",
+            "..                   ...             ...\n",
+            "163  2023-05-19 19:00:00            48.4\n",
+            "164  2023-05-19 20:00:00            36.4\n",
+            "165  2023-05-19 21:00:00            20.9\n",
+            "166  2023-05-19 22:00:00             0.5\n",
+            "167  2023-05-19 23:00:00             0.0\n",
+            "\n",
+            "[168 rows x 2 columns]\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Jeg kan også nøjes med at printe de fem første linjer."
+      ],
+      "metadata": {
+        "id": "lzcOXyr4nVW7"
       }
     },
+    {
+      "cell_type": "code",
+      "source": [
+        "vind = pd.read_csv('/content/drive/MyDrive/Eksamen_4_semester/Vinddata.csv')\n",
+        "vind.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "id": "5mGKxkKjFDP3",
+        "outputId": "f0721a07-bc25-4b3b-b4b2-3e4075889eaf"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "              DateTime  Sum of Højeste 10 min. middel  \\\n",
+              "0  2023-05-13 00:00:00                            2.2   \n",
+              "1  2023-05-13 01:00:00                            2.3   \n",
+              "2  2023-05-13 02:00:00                            1.9   \n",
+              "3  2023-05-13 03:00:00                            2.1   \n",
+              "4  2023-05-13 04:00:00                            2.3   \n",
+              "\n",
+              "   Sum of Højeste vindstød  Sum of Middel vindhastighed  \n",
+              "0                      2.6                          1.2  \n",
+              "1                      2.6                          1.6  \n",
+              "2                      2.4                          1.3  \n",
+              "3                      2.1                          1.2  \n",
+              "4                      2.9                          1.4  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-bfa85f26-077c-4b3c-8b85-480ea23d3b51\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>DateTime</th>\n",
+              "      <th>Sum of Højeste 10 min. middel</th>\n",
+              "      <th>Sum of Højeste vindstød</th>\n",
+              "      <th>Sum of Middel vindhastighed</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>2023-05-13 00:00:00</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>2023-05-13 01:00:00</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>2023-05-13 02:00:00</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>1.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>2023-05-13 03:00:00</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>1.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>2023-05-13 04:00:00</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.4</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bfa85f26-077c-4b3c-8b85-480ea23d3b51')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-bfa85f26-077c-4b3c-8b85-480ea23d3b51 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-bfa85f26-077c-4b3c-8b85-480ea23d3b51');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 22
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Her er så den problematiske fil."
+      ],
+      "metadata": {
+        "id": "u7twuqtcnv4a"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "priser = pd.read_csv('/content/drive/MyDrive/Eksamen_4_semester/Elpriser.csv')\n",
+        "print(priser)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "hjSdaZ6wFShx",
+        "outputId": "36604f08-9940-4058-e04f-dc2331733be2"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "                                    Dato\\tElpris\\tTransport og afgifter\\tTotal\n",
+            "2023-05-21 23:00:00\\t0 77\\t0 43\\t1                                         2.0\n",
+            "2023-05-21 22:00:00\\t0 87\\t0 43\\t1                                         3.0\n",
+            "2023-05-21 21:00:00\\t0 88\\t0 43\\t1                                        31.0\n",
+            "2023-05-21 20:00:00\\t0 9\\t0  89\\t1                                        79.0\n",
+            "2023-05-21 19:00:00\\t0 85\\t0 89\\t1                                        74.0\n",
+            "...                                                                        ...\n",
+            "2023-05-13 04:00:00\\t0 65\\t0 34\\t0                                        99.0\n",
+            "2023-05-13 03:00:00\\t0 63\\t0 34\\t0                                        97.0\n",
+            "2023-05-13 02:00:00\\t0 69\\t0 34\\t1                                         3.0\n",
+            "2023-05-13 01:00:00\\t0 71\\t0 34\\t1                                         5.0\n",
+            "2023-05-13 00:00:00\\t0 75\\t0 34\\t1                                         9.0\n",
+            "\n",
+            "[216 rows x 1 columns]\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "For at kunne skabe visualiseringer skal jeg bruge matplotlib, men da jeg kun skal bruge pyplot nøjes jeg med at importere det og giver det et alias. Mange af disse biblioteker har et standard alias.\n",
+        "Her kan jeg så lave forskellige visualiseringer som bar chart, line chart, scatterplot og histogrammer.\n",
+        "Man kan navngive akserne, lave overskrift, ændre farve, skrifttype og størrelse og en ufattelig masse andre sjove ting."
+      ],
+      "metadata": {
+        "id": "9vRklXgOhFFr"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from matplotlib import pyplot as plt\n",
+        "\n",
+        "\n",
+        "plt.plot(sol.DateTime, sol['Sum of Solskin'], label=\"Solskinstimer\", color='red')\n",
+        "#plt.plot(vind['Sum of Middel vindhastighed'], label=\"Vind\", color='green')\n",
+        "plt.bar(vind.DateTime, vind['Sum of Middel vindhastighed'], label=\"Vind\")\n",
+        "#plt.bar(priser., priser.Total, label=\"Elpriser\")\n",
+        "#plt.bar(priser['Dato\\tElpris\\tTransport og afgifter\\tTotal'])\n",
+        "#plt.plot(vind.DateTime, vind['Sum of Middel vindhastighed'], label=\"Vind\", color='green', linestyle='--')\n",
+        "#plt.xlabel(\"Dato\")\n",
+        "#plt.ylabel(\"Pris\")\n",
+        "plt.title(\"Prissammenligning\", fontsize=20, color=\"green\")\n",
+        "plt.text(30, 55, \"Meget sol\")\n",
+        "plt.text(68, 15, \"Meget vind\")\n",
+        "plt.legend()\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "id": "NJuAmRr14IkU",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 460
+        },
+        "outputId": "d7efa68b-507a-4f9e-c8c0-4967f7508aa1"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
     {
       "cell_type": "markdown",
       "source": [
@@ -131,6 +541,40 @@
         "id": "pmrzmPx4MnjE"
       }
     },
+    {
+      "cell_type": "markdown",
+      "source": [],
+      "metadata": {
+        "id": "gx0QUW0A9hkS"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "![Skærmbillede 2023-05-19 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)"
+      ],
+      "metadata": {
+        "id": "CaZS0rnn6jH4"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        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FpK0uHHjBoqkO9Rc4NpNv8Xl+3vqg4ybfnN4s74uERERUX5x6dIlv5IWVv7WzsgvWsa1wpIln+PXX3/Vp6tfcmDp2E5+D7I+ERERERER5Q8hTVxIwuJ6+gYU+X4ubl4xEkWPbNHn/++WO3DlD28ClR/SBxmXeULWkXVlGxzcpM8jIiIiyi+kJpDdkB9dK5p1DYTrRUvpf4sWLYoOHTpiTdJqfZqIiIiIiIgKrpDXuCi29SMUPbAGRS6fUnOAq7UfR6EiN6kp6OO/1uyspqCvK9vItkRERET5iTRfZjdYvT7uDX3I64rX6o0bFf6Ia3fUNhIUhYvqg4zLPFl2a61eam2gStWqyMjIyFTbRJrP8jYQERERERFR/hPSPi6kxkWxz/qrKRdpHkqvbWGV/jWKbZujJlwu/+l9NWaPfVyEX1ZtOku73oEa/srf1BhFMr625Eug7b2zc24KhVC8Ttnp42LkiFcxadIkfdpb7QozeSGF8cFOWuSleL127RqKFCnids78EYrzFgheE4iIiIiIiIIn5IkLpK9HkTPp+M2p3Sj882l9vt5U1O/HobCqdXH92lXc/OUI/OaXs8b0raXwv9I1ca1kZaByM32eN0xchF9WP9SlcHvs2LFqKmujRo1i4XYewdeWfAm0EI+dc1MohOJ1ymniIisFPXFhYuKCiIiIiIio4Ap5U1GFo5vjWv2/4Jffv4Grparo8yRBIYkKSWpIPxbWpIWsI+vKNlklLSj/kDufZSAiIsrvrP1aWAfyTpIS3gYiIiIiIiLKf0KauKhcqRIqVqig/y1UqBCuVnPd9SqJimLbPtb7sTCTFuJqzO/1dangOHPmDHr37o0//OEPiI+PV3Oz4BiB++vep4ZumHVAn4lRzvFw83UssmyE9r85HinHHEHcXt/70D3LE5S3z6NjpPV5Mj6I8jtrvxbWgbyTmhfeBiIiIiIiIsp/Ql7jwqrwmaxL3wqfP6rGqKDo168fTpw4oab8cOAjdH8xGYMW/4Bt22WYj96V1LI8IRZjt4/T/idbkrR4EfiH/toaw7y89QIHyIFViTX0eDaeJ+ODKL+QJqJkICIiIiIiIqLA5Fri4vr16yiavEJNGf1c/HpvQ32QcZOsI+tS/jR69Gi9hoXpnXfegcNh3FvesWNH9OnTRx/PWhVU9laWvcZ1t777nfpy97p5F7/rLna52921nscd7lKIPtI4PlNA69sei7mN/H0BidiDKY96LlfHadnXwVnd1L487saf5XqMUc7VD2BWd7UPbfB6Hpz7t3/M3Kcd9zRJSnkruLccp/W8u1HnxbnMOm2MjxppnEs5L2ZtB/dz4X5e3c+fKfN6rvNveZzuH+Ggc556LLfjccWAsb3ar9fnpvYR1tcpdKTfCbtBSF8WdoOw20YGaYLObr4MRLlB+mmQQdg1cyQDeWd3vrwNRERERERElH/kqHPuQPTs2ROFUpNQbOcCXEdhXG77JgrfaiQsrv98FsVWvKLNvY7LtbviRnQcChX2L6fCzrnDL6vOKM0OnCUp8fnnnyMmJgZLly5FWlqa3jyUkHkbNmzQx/3pwFkK8R+dvAed3v0BY50l3KoQuNNUbHtdm+m8c98oBJcC6mnRicZd7bJsWjQWz3sKkH2lPufcpvu0ZKDdBH09t20U/bGzXP+gj2OR43wPUYulpoh13Ni/7GPVw/K8JPkwTDuB5npfobXbnfi+n6+L+7ay//+D2kaxf0y10Iegd84ttWmGAxO016WimmXl9npYXsOKPs+p57IXsH+wto+WSej+6GRUlRiqqD3uo6l41vn6+Htefb3G6nHUifTv2M392j+X7L5O4ZLfO6plR7x5QyheJ+mc2x/S+buZtPDFs7kjKYRn59x5D88xERERERFR8GS7xsWTvXoFNOiJiCqtcemRKfglboQzaSFk/HKrUfoyWcffpAXlLU2bNtX/pqSk4JFHHsFjjz2mTxcvXlxPZASiYu/52LZ9KvDifZY72kUNDOqjipdj26ATkpGu7myX5njatVSlvLJsz3IkacsqtmyH6olfaWtoa61MRrtn2wHLk7R9HkB6smUbxf/1vR2LL3KcQKI8r7qdMGXPHqTpT64iomok4v8y3WXv4zGkcFy/O/8FJHqcB+c2Om+PGWm8v4aBUfuoFIWq2niUZEj0cevr4+9r52s9aywE49jzyutElP9JQsKfQdx22236X1++//57NQakp6frn4tEREREREREBVmuZwgKFy2GQnfcq6ZcCpcoqy+j/EtqXEhzUEKSF5cuXdLHP/30U5QsWVIfD4z0BZCIQZiM+Jy0mlMpDu1qSIGzA6uS2yEuVptGKg4cSMJybSzOLHs2Bbp+wGpY+u8wa5RUQu95P2Bx9HtwNRXlg3lHv76PqeikZntn95hhIAmEbCUjCooIeZ2IyG9y88att96qpuz9+9//djZ3NHv2bPTq3VstISIiIiIiIiqYWLWBclV8fLwzeSHefPNNNGjQQE2FUixad9qD5WtUibjjKyTWMJMMlRAnlSaGv4f97eJQUZ9Oxqr4VECf9hTo+oGQmhWW4/RQsfcEDNKTJmoGXOsenPWe5TlpqkQZxyLPVZ8h7Pbv+zFzVyz6DAamDLfWonFglt7hg6/X0Mp4Ps7aCG7PP9h8nH83/h67L5H0OhGRv8qWvQev/O1Vveknf4ahw4br2xAREREREREVZExcUK6T5MVf/vIXffC/M24L6QfB2clxJ0ypMtWvO89jX5+KqpM7Gdu9mIxB4139KFSsXAV79+xBVdXjt0wnJiY6pz0Fur53RoG2q3PuSug9fjBgHqdbR9zm833O0q9BDVRNHaav++hkuJ6TNEWU+IKxj5Ww1LiQmhuW86A3PeXtMcNDmgFb3G45HtWPRYavUFk9YV+voYv2fJ7tpJpU0ga35x9sXs6/Df+O3ZfIep2IiIiIiIiIiIhCJdudc0cKds4dfll1Rhn0DpxJ8ezUOfcV7Nc2/Oc/0uX3jmrZEW/ewNfJwPMQejzHREREREREwcPEBeVYVj/UpXA7UExc+CMyEheBYuKi4MjvhXgspMwb+DoZeB5Cj+eYiIiIiIgoeJi4oBzjD3UispPfrw289uUNfJ0MPA+hx3NMREREREQUPOzjgoiIiIiIiIiIiIiIIkbAiYuNE1qhdStzGID5h9QCIiKiYHDrgD87HZFLM17doPd3T+QPPeayiplIi6u8EeeOkdb3Mt+XRERERERE5J8AEheHMH9AK8yuNBurVq82htlxSOrF5AUREQWJYwTufzQVz27/AducwzjEqsVEoXBwzXJU7VQFy9ewVD14DmBW9/swLTrR9V5e3A7LH2XygoiIiIiIiLLmf+Ji438wA/0xolt5NUNTvhumv1EZM/6zUZvYiIluNTDsplVNjQmyvjlvACZOGIDWAyZg4oBWmOhcNEGbNx+H1SQREeV3BzBrWjIGLfaVqJC7zH3dvS3LX0Ai9mDKo/ehu3OFrLajgusAkpZXQevX26Dq8iQcVHMNlrgZ+ZWaZxTIjzKrAUmyrftH2nbGfLN2gXvsaTE3S1sv0zJhfQznTm3mCbvjiVCOmZiCwZjQu5Kaoan0FOa9WwVT4uU5qfPiPBV2057nwFhn1Mhu2jkfgVG2rwMRERERERHlB34nLg5npKNKXFOUU9NO5SqhSnpGlgmGjRNeBd6Qmhqz0S99tiWhsR9plV7FqunD8Oe4qlix1shceH08IiLKnw4kYTnaIc5SzunJMfIF7B+s7uCWAtDhngWVsRi7fSo6oQYGLf4B81ShadbbUYElcVeljRY5sWhdZTL0MnXFLW4eBhL1uZUQ164GElcaKzpWJqJ6uzhU1Ob3nqdqFmgxWHXyTLh2tQdTUtuo+OuEvZZl8hiJnaYay143UnYyD+/KfhIxKPk9Z2G+/fFEpoPpyeq8eKgYjerJaVm+/7ydAzmX+6MnYNu8cehjeR28Ph4RERERERHlSbnUOfdGrFsBrHhValz0woz9+3HQmemoirimRi2Ock3jVBLkENYnwTmfiIgKnoOzuhl3WzvvwnZgVWINtGupMhuxbdBpz3IkOQs0vcnudlQQOOIno+rDRsIg9uFOzoJw27gxxlCxZTtV+H4A6cmWdeSufz1mpdZPMtKdMVYDg/qoekT6fsxlxmM4l+lkHpD4ouynE6bs2YM0vZTf+/HkP97OgXCdA+vrkLQcrnNDREREREREeZ7fiYtyFSoj+YBNvYrDB5BcuYIfNSOqot9s1TeGNgxtomZblW+KOCRh/cYN2v9xaMa8BRFRwVEpClUtCYWKvedD7lzPv4WzFH7WAnJteFEmvtLmZqFSHNpBi1WHpZaQJC2mRWOxqnGRs7g1agwZtTd+wFjvbadFrIqVq2Bvqk29ioOp2Fslyo+aEX6cA7vXgYiIiIiIiPIF/2tcNPkz+qW/igHWnrgPzceAV9PR78+ShSiHilUtNSk2rsUKNWouS9qQVS/e5dEsTvtNu/aAVLdgM1FERAVKLPoMho9mnGLRutMeVwfKjq+QWMOfwsrsbkf5nsSC2UyTGv7RKRGr9MxFRUTV8IgbY0xTCZWr7EHaylTA2jyRWSDvtq4vHo+hs5snfB1PBIrti0HJL7j353HgI3R/MVnVMDGej7Mmhdvz8XYOPEmzXcj8OhAREREREVGeF0BTUeXRbfpsxCX1MjrYlqHX+0D/V2H0160t79VWNQelDWuBtvp2Qlv2an/gfXPbCTD74PYkNTtWrEhnM1H5yPg3/x7wQEQFk9SyWNxuOR41O+WtK236T4DZv2/s69J3QCd1d3wyBo1/yqaw0khUWDvn9m87Kmikf4pOqpkok6u5qEroPX4wYMbNSrjVotDXS0x2b7op8QXbdb2TfjEssal3Qu3xuHVHqBogvo8n8shzS0S75ebz0IZHJwPO97O2/FntHJq1Xdyej7dzkJnU7HB7HYiIiIiIiChfKHTp58s3ZOSTBQvQIraFPtN/hzB/gPRZAbR9w0vzTwE6PH8AeiXFYfb0bn7VuFjrWIvHu3ZVUxQOZ878hJIlf6emMpNExNixY9VU1kaNGoXhr/xNTRFRXpXVtSGvy+/PL7/g62SIjPNwALO6S58VQKd3g9MElvSF8+jydlg8L/zJSMYaERERERFR8OSwc26pheGjz4qASBKkFaQSR79X/UtaUP7x3Xff6QMRERHlV1ILI1j9dkgS5D5IJQ7WoCIiIiIiIsp/cpi4CCYzCTJdNT1FBcWZM2fQu3dv/OEPf0B8fLya6wfpCNVsfkIb3NrRtuXAqLrdkOVqEc36HGTcbD4jPzw3IiIif5lJkPnOpuSIiIiIiIgo/4igxAUVVP369cOJEyfUlJ8kafEi8A9Lh6rzClzJRSzGbh+n/U9ERERERERERESUfzBxQblq9OjReg0L0zvvvAOHw6gz0LFjR/Tp00cf9+0AZk1LxqDF3grtpfaBWRPDWy0EzxoKnjUZumHUyG7OmhyOkWp/eseprnVmzXLV+vBe48NyPCNHZHoc+2MwmsDwvW9zffn7AhJhdkbs0Lcd5TxU7Ri7f4SDapKIiIiIiIiIiIgoktknLjZOQOtWrdQwAPMPqfm2NmKi2zp20xO0/6mgk6TEe++9h0ceeURPXkifFuPHj9eXxcTE+N9M1IEkLEc7xHmpYOEY+QL2D040amK8WwVThmen0H4P9kdPwLbFg4HJnbDqYW1f2nj1xK9g5gNknSmpbdTjdMLeyTMty1zcjudhIFHN983VDvi27VNR1cu+DVLzYio6oQYGLZaaJ7GIa1cDiSuNLQ6mJ6N6uzi2/02RqUA2+UZ5i8ScK0ZlcCaG3VhjU8bzUlN+mZ+jK1EfTqE4d9bXhoiIiIiIiCJV5sTFofkY8Go6+s02Ot3OeZ8TTTB09TDtfyromjZtqv9NSUnRkxePPfaYPl28eHEsXbpUH885B1Yl1kC7liqrEdsGnfYsR1LAhR5qH5WiUFUbj5JSf308GenOfdXAoD6qzoc8jtsyk83xGGNZcxboSm0Ku317V7FlO1RPTsNBHEDScrgenyiSsMk3yjOMxLAZp1l3LJ0Xm/KzPsdEDEp+IUKSF8HGZhaJiIiIiIjyAi9NRVVGBdtkhdSeUDUxJkgdCpl+FSuwHzN6tcKA+fM9pqXahbUGhhqf76rRYaxjcu3f2Jer5sbh+QPUNqy9kVdJjQtpDkpI8uLSpUv6+KeffoqSJUvq436RBEK2khF5iBToTovGYr0ASWpTBKhSHNpBO0cO37VTiMInrzX5RmTHEqcjv1LzhBmL8tfalJ8ZX5btbGJYj9uwNvEntf60z57E9zyOzXyu3t9D7rVR/NvG/X1n3cZ6TkVO9yfbqPV9Pi/g4Czj2nE/a2cQERERERGFRebERfluGNE/HSNatcJEjwzBxgmvAm9ILYzZ6Jc+G/MPSW2KN9AWVfUaGtO7dfOYtst+7MeMAy2M2hxvtEXy+/9xJiJk/2n9Z+vLRiAJK9R8SWj85/3KGKfXAGHtjbxMmoMykxfizTffRIMGDdSUv2LRZzA8moByYJZeChGL1p32YPkaVSLh+AqJNewK7isiqsYepJk7kPXUaHAZj+N2PMaYJotjqBJlNO+UrWOrhLh2QNrKVIDNRFEkymNNvlFBZyQePAuys24K0LMpPyPgfce3itt5T4X52u3+GSXHjHe149VrY1gTGu7vocQX3c+PP9tY33e+zml295fYaaqx7PXMaVL7fToQP7mKqg3G2hlEREREREThYFvjoly36Vi1+g3g1VZoPWA+DutzN2LdCmCFzGvVCzP278dBY0GAqqLfn1XqoUkLtEU6MlRtjHUrqiKuqZHsKNetl7bMVA4Vq67ACL2WB+V1krz4y1/+og/+dcadWcXe87G43XI8at4lWfcrVFYFQrGvS58QnYz5LyZj0Hi7wp9K6P2sFLCo7Vci8FoNftEeZ7xRaJr5cXwcgzQplfhCAMdmJGysd/RWrFwFiYnJbCaK8qBIa/KNyNqMklmQnd2mALOKb8uyiCHHDPV51QlT9liS7l7fQ9ndxts5zf7+nMsy8bZPSdok4v8sNTCIiIiIiIgod3lpKkpIbYrZ6If38R9nvsCoSWH0fbEaQ3Ot6kN5dJu+GrMrzWZTUfnEO++8ow85IckLoxDJ845IucPVnD8fribzZb5lOnaca/vXx1mWWdfzZ1x4TltUegrznI/TRs1UfB6Dt/n2xxD7urG+eUevdMoN29omRBGgIDT5RpSXSa2oPZ3Q2vnhak3e+NPPh8jONr4Ee3/Cbp/SVNYPWBz9HthUFBERERERUXj4SFx4kloP+5G0wdonRTB57H/jWktTUYZy3V5Fv6pmDQ3KS0aNGuX3QDl1ALO634dHJ8NLbROiSJCXmnwjsuOrKUBf/I3vcHJglHyIDO6rHa3weK5uXPMPznrP8lx8beONr3MahP1l4nt5xd4TMKgGa2ERERERERGFQ+bExaH5GKA6yNabhKr8hqpZUR7dXu0PvN9LLTNrPjRB87bWzrg9p/3lsf+1sDQVZXbaLcfTC7ZdZ1DEGv7K3wIe8i8fNTOCxrhT1L22CVHkyTtNvhFZ+7gwm+Tz1RSgVeam/PyL79xmfY5Gvw9mDb5Mz9WtFkINVE0dps93T5j72sYbX+c0m/ubZznXmZp+8rZPs8PuTphS5Tl+lhIREREREYVBoUs/X74hI58sWIAWsS30mZHg8PwB6JUUh9nTu6GcmmdnrWMtHu/aVU1ROJw58xNKlvydmiIiMuT3awOvfXkDXydDaM6DFPC/h6jFTJQLxhoREREREVHwBNBUVOhJssKozdEKvd4H+r3qO2lBRERERERERERERET5S0QlLsp1m+7s+HvV6ulsEoqIiIgoYuVG84dERERERERUELk1FZVXsamo8GLTCERkJ79fG3jtyxv4Ohl4HkKP55iIiIiIiCh4nIkLouziD3UispPfrw289uUNfJ0MPA+hx3NMREREREQUPBHVVBQRERERERERERERERVsTFwQEREREREREREREVHEYOKCiIiIiIiIiIiIiIgiBhMXREREREREREREREQUMZi4ICIiIiIiIiIiIiKiiMHEBRERERERERERERERRQwmLoiIiIiIiIiIiIiIKGLk08TFBrz1+wGYf1hN5ppwPS6RkPhrg7bWYeIGtcyX7MSt52MFI+5lnxOwUU1RPrdxgiV+2uC5LAOoIF5fQ/E+y6l8+jocnofnsnxekfbcg3k8nrGmDX59foRaKM657JOfNURERERERJGONS6I8pVoPP3hV1jxpQwf4en010JY+GR5rDGV8eHTOS0Iaoq/fjkMTdQU5WOStHgNGK3HqTG8162cWkjugv0+IzuH169B5Ycrw7E+v2VkApGbnx/hxM8aIiIiIiKivKAAJS4OY/6zrjsJjbt7jXlvmaVAUpj27DxtrrDefWi928/z7j9zWv6+hpVIxYdP+3P3MFGolUO3aWPw8MqPVbzavQfs4tZuvSw0aY6H9RHj/fDWxAH27yW9EMzb+858L6n5mbbTVp1oPR6P9WU/+bKQLb/RXv+P0/H0h94KDi2vu1s8WNnFijltjOsxqO1D4kXixhpHzvXnu2p9WOP88Hxj27aRdle2833m7T1qee76e8qP9dT8zOdIyHrW+TJt9znnuZ45z/1aELHnVTu69Wsq46GhzVF5zdf6sbpYn9s6Nc/bNcz3+fYWb97Pn+c8YXc8oeD5+SG8Haf7c3OeF51/23g/H57PMaf7k23U+j6fVyTHKxERERERUcFQgBIX8iPcvJNwDCrHJ2g/RMuhWctorFxn/FA9nJGO6JYPaXOlgPQ1pPf5yHWX6xtmIaw3cgef9iNf3bHIu4cpMlRAhehUZByScbv3gF3c2q3n2+H5H2NldEWU16dSkV5xBFZM6+58L2GM7Evu4JVCMPf33cZ1K53vO6vM2wHlK0Yj9WCGWmEd0qMB8w5pfT8VK+jjFMEOfw0HWqKZl0tk4NdeOyoGP+wDxD+Fr5tr+9LGo1eus8RyKj482Fw9zsNIdcb5BsyNr6xqg0TWXdmu95mv96j1/efHej7OUeb3oP3nnN171WA9lsg9r3pMVm6uHVNTPFQ5HnNdJ8k9HpsDK/W53q5hvs+3fbwZj7Hy4THGsqFNnfPszqn98YSK9fPD+zF5PreVr7kK+v3dxvN8eHuO2d2f5/m1st9nBMcrERERERFRAVGwmoqSuyL1u+fkjtF0ZGg/Tss1a4no9Az9Tsn1a4BYvTRtA75eGa3GNXKXa+oaFOgWJCh/sHkP2PJrvVT9rmtZr48U8KhEhTQ34nzv6O8lYOVrst5T+DDVKASzvu8y0q3rm3xspwpWN65LR+yTLQH9Dmlv+6G8JVjXXrWPchVQWRuvIBk1fdway9F4+s+qEFOvyWAuk8LalRhtufM6vLy8z7y+Rz3eB1mt5/Uc2b8HM/O1nvVYIu28umz8TzwqNzdioUnzh50JCdt4NMa8X8N8nG/7eDMew7lM5+2cej+e0PP9Ont/btnZxttzzP7+3M+vlbd9Rm68EhERERERFRQFJ3EhhQkfV0S8fvec3DGqlHsIsViD9Rt93wVMlCfJncSpD+MhuV3U23vAk7/rSUGRsz10X3ekWtf7Cn+VFf1633nZLloKpDbg63Rtuyayn4M4lMVd/BRBpHA8ohPBxl3z8RU/RmQ0EWPzPgv6e9kbm/egLX/Wi7TzarIWXGvDazJhrZnjhd01LMfn28rfcx9C1s8PXXaOKdjPIxTnxW6fkRqvREREREREBUfBqnFRuYK6U3UdVuozhDT5AGSsOwg4m6tpioceToWzk05ZP9osFHVvOsF9X0SRZAPeejoe6NPDlVSwfQ/Y8He9LBnvl8wd3pZDhcra+8jtfWflfTt5vzre+BjpqmmWZi3T8fV/vO2HIk9TPNEHHk1AbcB8vX0WX9deq9Bfh8t1G4Gn9SSZmhFpQv5e9vYe9OTveoaIO69yXsxmhNQw+uGV+HqjLPR4bm7n0Ms1LODzbXf+vJ1TX8cTbJ6fH75eZ9d8ozkz9+9L9tt44+s5BmF/mfheHvHXASIiIiIionwsHycuXM1r6J0tStMBK18zptfB7U7IchUqY+XKdEuTFtrqQ6V96qfUHZjpePpVsxmccuj2pLThrPbtti+j0M2901Ki3GSJ+98b7XY7+1vx+h7wiFsf75XAae+XV4029I1jct25qjfJ4vG+c/G+nbxfU1NTUbmCekfq79+VzmmKfOW6TUd8yzXoo7+2MqxDBRWn3q+9Vr6uwzlldtT7FD6s/CQisrsif9+jOXove3sPen7OeX+vuovM8yr9UzysmokyuZqL8nhuHucw0zUsW+dbe4xplpjXmybydk59H0/O+fj88Pk6R6PywXH6/D7xcP++5FdsWPl6jtncX6bza+Vtn3ngOkBERERERJTPFbr08+UbarzAOjx/APqsaYl4Zxv9FIgzZ35CyZK/U1NERIb8fm3gtS9v4OtkCM15kAL+j1Hhw+ks3Ncw1oiIiIiIiIKnYDUVlclhzH/W8w5BIiIiIiIiIiIiIiIKF9a4ICIiIiIiIiIiIiKiiFHAa1wQEREREREREREREVEkYeKCiIiIiIiIiIiIiIgiRqH9ySlsKoqIiIiIiIiIiIiIiCJCoQvnzzFxQXlSeloqKkdFqykiIiIiIiIiIsrPWBZEVHCwqSgiIiIiIiIiIiIiIooYTFwQEREREREREREREVHEYOKCiIiIiIiIiIiIiIgiBhMXREREREREREREREQUMZi4ICIiIiIiIiIiIiKiiMHEBRERERERERERERERRQwmLoiIiIiIiIiIiIiIKGIwcUFERERERERERERERBGDiQsiIiIiIiIiIiIiIooYhS6cP3dDjRPlKelpqagcFa2mDDKP8h6+jkRERERERETkya68wHMeEeVPTFxQnuUtcVGnbj01RXnBju3f83UkIiIiIiIiIjfeyguYuCAqGNhUFEWU10aPUWNEREREREREREREFKkOHsxQY975s46dbCYuUjC3XyxiYy3DBIdaFgKOCUHdf8rcft6PWXusfnNTnOP6ev3mas+YQs1MWjB5QUREREREREREwZPLZZkBcWCC5bic5ZI5Is+3H4KyKyIvJCEx59//xg8//KDmZCbLZJ3sJC+ykbiQN1MfZPRwwOFwDfEVEkJXwB87DI5hsWoiGOIwVo470z6155aQCmeFM3lcRzwGsAZayFmTFWNGv6bGiIiIiIiIiIiIciIMZZl+k2PbhMaW45rxRIxa5lvK3Lna1haOuZZERQyemDEDfu6KKFsqVqyATh07IPHzJbbJC5kny2QdWTdQAScuHBMSUCHeAc8y/5gnZiA+LgkT83AqL2XuJlToEaemKLcwaZE3JSQkYPjw4Vi0aJGaE2zS/Q4HDhw4cODAgQMHDhw4cODAIfKHyBXRZZkpR4EBXRDM27WJctN9991nm7ywJi1knewIMHHhwCb08Jqti3miB6IzjujjKXMneFRHSsHcCdYspns1KGvtLMeECXCYzTTJgpS5mGDdmblMH7R11Wz9MZzVvgKsDqU9xkJ0wRP3qmnKFZGStDhz5gz279+P48eP4/r162pu3pKeno7Dhw/jxo3Qf2GQOwB++ukndO7cWf9LRERERERERBR5wlGWOQ0TMjVDpW1rV7sj5h4gaUvm+aaUuejnfEyzrNMo/+wzfTpGyXxtv/MnaH9HTcf0PrKeUVaqH5Osbo5by1M9j8WtrFV7HIe1LNb6vK3lsEQGz+RFMJIWIrDERcpRVGjsKwd4LyrgqPc3m5O8wazVoOJRIcEa+MswalNjY5lnOlTesOYyGeIrIEFdDFLmLgSGmvsMpDqU9gacCHRh/alcFSlJCynoP3DgAC5evIijR49i165dOHfunFpq7+rVqzh9+jQuX76s5oTXiRMn9OTLyZMnceSI8YEbSt98841+4XnwwQfRt29fNZeIiIiIiIiIKIKEpSzzWTTGJvcCfscmoMcTyFzyGIthQ4GJse6JEINRXjnU+Zg9kDFREg7SDJQD8QMGGE3hz3gC3YZpf8cOwIB4WW+YTQ0O7fgSKiBe7cutpomUtVqWORzaASVMR6qxFI4J1udtt28i9+RFMJIWIpudc+eQYyEyelgDXXvD9QA2Od+g1TCgi/3bwLEwAz2syYyYJ9BDXQyMJGXWlxpP+htQe5MzbZG7rMmKcHbIXahQIfzud79TU0ZSIjU11bb2wq+//opDhw5h9+7d+nq33HKLWhI+ZsJFeD6XUNi8ebNey+Lee1k9iYiIiIiIiIgKgADLMmO7VMAmZ42FFMzdVAFeijr1ss0ZDgcab3KvCaE3aT/UWl4Ziy5xGchG0aemPcZayj6tNU0cC5MQ5/Y42nMbOsDZB/C9FVItz5Mo9wScuEjyGalHkIF7LIHu3bJRZhUjNYxahtSj5jsvGvd43ckyoxqUZRi1LBX6prHDMBQT9XmZs5T2Uub2w6bGzBaGS6QkLypWrIjo6GgULVpUzYFee0ESGNJ01LVr1/SaDJKwkFoW1atXx913360nCsLpf//7n15bxEywlC9fHrfeeqs+HmzyvK19WsycOTOE/VtQ7knFzIeaY6Z5KwWFR+pMPFSIrwNRSCW9pH1uv4QkNZnr5PEHh+3RiYiIiAqssJRlxjREhQzVBFTKFmRUaJjlY8RKrQmpfeEs1ExVTT+5hj7Tl0HlG4LIVzmsJDlmGEmVQJvlpwLF2jyUtdmonAgscaG96eJSPao6WaTMTQB8Vr9yaT/WrGLkGvzrNb+9UQ3KbXA1CyVvJpknb6iskxcp2JK0z/3C02c6lk3vo42zzbbcEinJixIlSqBGjRq488471Rzg/Pnzet8X0nyUNMdUpkwZVKlSBTfffLNaI7wkaSG1QESpUqXcjj3YihUrhvHjx+vNQ8XExOjj0sdFnqIXWhX2GLIuLE4aXBj2ZU1S6G/uJziFYakzmwd0bFnKoqAsaXAVzOo9C33NWymEFKLr23gkNZyF68bzfsi5IAmDncesDQ/NdFYpjUTeX08X99fB+lyzST93an8hL7iU1yN4hbNyvvRjDrjQ1/X+yPSUnefDsr/Vw/Hvu4ZjB1bjq7vK4KvVan7yh/jvHz7EYTW5Y1gZ/HuYLJT1ZH0XWaZvp+/Lsg/Luvr22jJzcK2TeZnxOMDhD9tr0+2xIVmfdDsm920s62j07WQ9Wd9jWXa4xWV23mehLjhXr2uO3y9BEdz3gTsfsW1+zti9PnHvaJHYOkLODxEREVEBEbayzBg0rGDUjpDWYxr72zy9tCxTwWy6Klo1/eQ+eLaqHxJHMty+z+pJFT2rwuQFZebZp4W12aicJC8CrHEhVYUqIMEmwyY1F/pk9HC+eaTZpukLXZeFlLkTMd2M+NjGwKjsJQaMTe23TElxHVRs4/ZqzBejTTi3C0D8ALQfEK+NsxZGboqU5EWRIkVQoUIFREVF6ePi559/1ms2SI2MsmXLIjdrWUi/FXv37tUf35N0JC6JFSG1LKS2RW6Q91mom6MKmbh3cOPGddxImYFmGITVMn5jnXuhfUCi0fdr2ccqbW9BkPQSYmb1Qop+XDk9Nj9oj9dqywzM9vogGdi1vqEW+2pS5zltMs9nMj5AP/TKBwVzzT5IVq9DMnrPqpKzwsbovvha9rXaS6Toy0P8eudAs1oV1FgAkv6FZxqu0s/h5Dg1T0n6Zz80XC3n9h24LWpQFSXVqK3Vw7Edc/GXCa3UDB8aNMClFZashEWZeSfwl5MyzAW6uycvXMu0wfI4tzUATq6zzzyY27QcD6S96Eqy6O6rhHJqNEfk+vBMQ/U+u47VDfshJuRJsMCkJs3WXtdVaDgrKfCkSm7QPwM8Yi5b1LVfez9PGemRoNAfw7gO/tPm5YmbrJ2fZ3qzdhUREREVCEOGDFFj9rJaHhzhK8uMeaIxMhZOwCY09l7GmJLibBpKlzIXCRlGDZCYhhWQpPdp4U2G0QKNU0a2amNkLmt1YMKoZWrcKAcyxKBhXIT+aKWw8dYRdzCSF4H3caG3u9YDGZmqKsG9X4rYYRiLUc7lE9EDA5yxHYthjsbYZNne7+pG2n4djTdZttMG1f5bzJGFrnkJPtqOo4hkJi+sSYxwkaahPPu3OHv2rBrLHRcuXEB6erqeOJEPCTkmk/RrcezYMX38N7/5jZ5oKVw49F3WSN8WMpQrVw5paWl601EyfP/99/rwyiuvYOzYsWrtvMZae8LmblnLHfP+FmC73R2d4wJG91oNrt2pWhEzXbVJjONT67eaAkxpbbOdtkbiFAx6vS+sXzv0u+tj+mG9vk1rTNH+tcpU8yMa0Q2BhrYZjGjE9W6G9bsy1LSX86Df+f2ScYzauZ4pj2t5HNs7y/XXwP0OarfaE9ZaDR7rWfcnpyQw0ej7+iCsV4Wx7jU2rHd1a+PO5yKD53mzp59zr+t7ed3Nu7o95hv7Ml83tdx1sPavhXA7d+5x4lShJpo1q4lAUhjeEx7N4D0XUh7FGzRA8Uy52NX4qjtQ15+khbjvZe2VezuLWg6tUGN8A5zwkuBw8/jLuOuTeLcaHp7KNX8Mt323H2fUtFOVSiiO+/DbKmo6G/T362pXobsUgA+a8rkee/K6PjRzpitWrNcv62vrEfze4kGPcW1/zu1sA8JTKpJmNUSnuAqohdlIssayW7x6xLlb7FmXWWPfMl/WH6y9z2xru1mv4/I+MFnne9TC0I7Nr3OnBrdTIe8JNerOuEbai8PzHwCz3E4QERERUf5jJiW8JSeyWh5UYSvLjEVj7dtlBV8FlDFHsNC6T+mM25lJ0Y5bddztekxX8kRPbMhzMvvF0DMQ7uv4RXve8RUSLI+xCY3jByDObD9qi9Esvwx9Mho7W70hOngwwzZpYbImL2TdQGWzpFPerB41FfTqQu5vDqMakTHMeCIWTwxz71DGfR+u5p5ih3nUdtDeqMOs7wpJXli3NTuXsc7Pbmfbno9FuSrcSQtJVkin3AcPHtT7tpCaDL/97W/1ZadPn8aPP/6oj+eG4sWL64OQ5IUkCuT4pFNwSWjIuNT+qFSpklvfHKFkZtmlqShJlkhzUXKOkpKS8Pnnn+PNN9/EqFGj9HVCzqZAKVOyISBm7QljSOk9263WwJRZwGx9mZ93y8rd0bvGOvfnV/MgcQP1u3RjtOfivq4UurUG9DvUjWNAK2sB33o8s6ujc1nDZ/6FJMRhskzLHf6DjLveZXDd+Z6ExCmD0Mnj1uO4ycY2em0DqZnSbAZSzJoAeq0Ao+BU1vO8i94ghZfrMcjcsa/zMGULaqWswqD1/TCrVjJWD1oPPd8h21hqnshrod9Zrj3+64OmINFZcGh9DkkYHLMbr6ttbqzWTpEZDx7781bpwScpoFy/G1l+zKrnYhxDQzzTK+uY1M+53KGdqQTU83W3nHOz9pA+SDwYhbHGvqQGkFkDRhvMjXy8Fq4aEMZgfW1ln19LAMjr/7V7osuX1NQtasxTKmwXtRqPv3zxNMqhCpp+sQxNPQr5M4a9jeLrx6OOmvZHnbb3ea0lYSpXSfty9cMBZy2JE90tTT+ppqIM5VHh8R9w3EeO4/C6T3Hxqd87j7Hc08tUrY1WaHMysGN3J+fMM9lTAbWabdHOszG1/pnd6GS+tg3Nu/3lfTEbvVPUa2sN/iyuUa5rnhabW0Zlfc1LTcKshh2164MkL60F81ocj9yCD8xjcKtZ5HF8zmUS+6O064Oan9ILs2IsCYcp/bDrdWPZau2aMNKMY73pO7OmlLUmnO/aceufma0ey1pTQjuGXq73RYq8QbVrqdt1LzoaDb1cFyrUaoYt5ovjITq6oTMRSkRERJRfTZo0SY1lTk5Yp63rhVYul2XqHNiUGoeGPosZPfbpWZ6pJ10sy60txJjLnNuY+zLWsR5T5uPT1rW0OWU2ve98jCMZzu+5bstypZ0qyisqVqyAnn/5i23SwiTLZB1ZN1BBvEXbbHbJ840QiZKMDr6z6gTDMUG7ePVxVQujfE0SFZIckE65xW233ab3ZyGF9CVLGo2XHDp0SE8i5AapQSHNU5n9aUgNDDk+6ddCkhdCOgi//fbb9fHcIEkdaSbK2lSUNFF16tQpPP/882pOLjGb3rEOARSq2nHd+V4YMc+sV3MNrpoJcehkFrD7IHdHW2s6+HeXv1m4ZjRN5LrLWJpssiYZPI+hGT543lmijck5bApFCpydtSkaRvt5Ts07/I2CQ2dZua/zMGisKqQchNddJZn64zfrLcWfhui4Xmi2JVUv5IvrNAhTzMxF0ueYMkgKStW4tZaB5YHsapaEjuW5xHXEIH+SHd5IQTBmwPnSWrkl7qx3lnvn67WQQtYprYLVN4Fxp3wv7ej1hIdVktx53xuYHWCzWN+9grSP1HggWvXJspaEJ29NRYlyT78MvOXRFJTGTHas+eQxtPS3RkiQNftgoPN970ws6u8R833mLqtrlOs9I9elrF8vaSbKzKzIexbOgnmpfbAez8TY1OTxdnwS++uNbfTjk1pgapGumet9IbFrMBKZ1muJ35zH4KumhB253nZEonaMnu+d6L7rMBu9teP3qOEhvNbUICIiIspf7JIX4UlaeBPasky9/4we2byxOjelaOfAWnMkZS76jfK76w8q4PxJSGQnaSFC37ZMBHJmCrPKEpo1OLJbe4PyDKm9ILUYzp07p09LTQdJGkg/F2atBun8WtaTxIEkOXKDNAMliRP5K+T4JIEhpDNx6XMjN0mNCzkeq/vvv18/L7ku2DUukl5Cqymuu9T1u2tt2d35bG+Q5Q52GTIV4nplJDBSPgCesWskPWSMAmdJ2kghtrPJKL/Oqzp3qwdhvUeNlOyfBxtSK2WL0TxOUuIWS8JGY6lZog85TGS5ydiN9QE2kyS3wnurc5Azxp3gcPbBYX8XuR1vr4UUssq0UdCa0wSGUdtH9pVpP3pNkVlAL4/mgrLS4E20XP8YTjZz74w7a1WyriVx4IcA+qFohbvv+xQZh9SkYiQ75qLMd6/g2w9z2AO3LaPw3z1hatcHTWCC9940alqtf0YSrurasd7VXJRRE+g6OiUa12q/Wp7Sa3tZjy8YfVMEwkhi6NdC/brYEKvdqlsIuWZ+rtd08Tx30gyXJO9sj1uuJ34nhYmIiIjyNm81L8KftAghKfjXm1Vy9Z8R0WLuxVG95oka+mSgR564MZ3yuwKZuCDyJB1dm0mLYsWKOZMWJkleVKxYEaVLl8Yvv/zi7F8iN0iNCzkeax8WMk+SKbnJ2r+F1caNG/Xzs2HDBjUnl4SgxgWcBdNJ+KdHjQsn/U7grAsL9ZoBnp22Wul3nvsuwMvYZR6DNAljaSIpdSZGTvEveaJTtRXcSa0Na7NLwihwXj2omd6siyRv9CajAjmvklhott6ZcMnyPNjwbEZFmjFyFfJJMzRbtONOQuKWXnD2Cya1G6bYN2ej1yZw1tKQBJUx6r8kDNY2stbaMJuASRrsvbaD3IG+3qwRkh1akDVcb9/BrzBrxaTOHGVzDK4mhEz+vBZ6AkOST1lVKTKpBKJdokNeR3uB3tWuVHkaD4z/Adv/YNZ4kL4wPnIlJZI/ROpHT+FujwoPei2JFV+qKQ/aNt8OB6L6+l9Lok7fx3BpxX41ZWX0l3FxuL81PKQ5JP8Trp6vnx57WcWX3Nmv+sEw49iUnfemyaidZqlJoGoHWRMNzqbfLCSBIdcVZxNK+vHZvG+j49DbS+fW3rlfJ329N/1j1OBwNrlml4CQ5KSXhKZcv+37AZLNtmSvw3siIiKiPMozSZGvkxbCbMIpzzSrZNY8MQcmLSgyMHFBBd6vv/6qJy6E1GyQJIFZw8GTNIskNS+kOSlJYOQWqQFSuXJlPUEgCQzpX8KaWMkNR44c0f9aa1wsWbJE/yvNVWVkZOgddEtyI0+y9C9RqNDnqOVR48K867aQ3h67WYBl1FBw6wzZLISMe0dvZ97YnwxZ32Hu1lGuNrTaMgMp+h2+0eg7ewa2OI9B2l33s6kdt+flniixL7h073/AW8Gbd8axOgtLs3EePLdxnQeDNEOzpVVrbLE0J6VthMnSp4TZtIw2mIXp0X3HYpDZJE5iR7/7uHDePa69vtLPhHkIcc/PANSykbVmeNR2cDVXpferYW6kElXWztKN41OF14Wq4Bln0zhmgbD2nFIsr7s2GK+fdo5f1147Nb+X9s/9GIzOf53nwnzRvb4W5jGooZVHTRZfJLmi/fE70ZFD0mdE3ftewRo9eVEFTd99E5fMPimavYLi8+z6kWiFu/ERTqgp4ezHotmnuGu9e38a3vu4UKo0R/EfPsJFNWlV7ul/IMqaTPFJJXD8bU7M832BVa7+S7xR/cIYMfk5OlmDPzvvTS/0JJ1HDQL9+qJnEczrpDFIzQVnc06SgHZ735rH4HHNkyHLahru74vETtaaSD6u1V4ZyV1n83P6YNPsU8AkMQ70dmZdiYiIiAoGM1mR75MWRBQ0hS6cPxeGNl6Ici49LRWVo9x/+Mu8OnXrqSn/nDhxQi+Ul6SAFMqbnXF7YzYrde3aNb0PjNwkfUlIwsLax0RuWbRoES5fvowePXro08OHD9c75pbOuOfPn49t27bpNVJeeuklfbm/dmz/3svreL+aolCSO6dH1krOWfNNpEjhqDQbk9tN2oSTJD2Mfk0yxZAkaxI72hauS9wldvLWwXvBIclKPcEVzGbNKDikNlEvYLbztTFiXToFd8atxPjImjavn826Cq+5RERElH8VUn+Dx1t5gec8IsqfWOOCCjxJAkiBuzS9lFXSQkiCQ2o/3HTTTXpBfm6S48ztpMXEiROxY8cOvX+LRo0aqbnA+PHj9aSF6NatG958882AkxYUfnGTpSNw9z4piPyi1yLxkrQQen8kRu0Sz5vlpdaKcTd9MO5gz4uMGgBMWkQw1VyVq0aKEetGIkLVUvJoQk6n3hfP2HWsry2TmjJMWhAREREREWWNNS4ozwpWjQvyberUqXqNlM6dO+PBBx9Uc4OHNS6IiIiIiIiI8jrWuCCi4GKNCyLy6YUXXtBrV4QiaUFERERERERERETkiYkLIiIiIiIiIiIiIiKKGExcEBERERERERERERFRxGDigoiIiIiIiIiIiIiIIgYTF0REREREREREREREFDGYuCAiIiIiIiIiIiIioohR6ML5czfUOFGekp6WispR0WrKIPMo7+HrSERERERERESe7MoLPOcRUf7ExAXlWfywIiIiIiIiIiIqOFgWRFRwsKkoIiIiIiIiIiIiIiKKGIVKDn9Gr3Hh6P6sPoMoklmz6syyExEREREREREVHCwLIio4WOOCiIiIiIiIiIiIiIgiBmtcUJ6SVY0LmUdERERERERERHmfXbkPa1wQFQxMXFCe4k/iIrc/wOQxG789Vk0R5a5NL4/ilzYKG/5ooHBi/FE4Mf4onBh/FE6MPwo3xiBRwcGmooiIiIiIiIiIiIiIKGKwxgXlKdasul2WPRyZd3lM1rigQM1+tIcay55eixP0v6xxQdmxfMWXaix72rX9vf7X32tuUtIaNQbUrl0LpUuXVlNUEOV2/BFZ8fpH4cT4o3Bi/FE45ST+zNgz8TsgUcGRZeLi1cSTasx/b3S6S40RBZf1w8nuwyocH2DymL4SF5XvKoOXOnRGXK26+vSHSV/inSWL9HEquCRx8dhjj6mpwHz66ad+Jy5OnTqFz5cswc6du/TpVnFx6NDhEX2cCi754ZCT+Av0h2vPJ3s5f6z+/PPPeH7gQP0HLBVMuRV/vP6RHV7/KJwYfxROjD8Kp5zE38UL59WYwd8YzD4HJsSOwjI1ZWiPsY5hiNXGHBNiMcp9IaoNiMeMJ2LUlMYxAbHWlaoNQPyMJ2CuYbeP9mMdGGY8gPu2GmP/R2yOqxoGxM/AEzF2x6y0Hwvt0I3l5nF4fQztCFPmol+f6din5lufO1FuY1NRVCB0e2tNwEOwmAkLSVZ8tnk9Xu/W0zmPKNTMAruOHTqgUaMHMX/BAuc8otwkMfjOpLdx6623YvOWzWouUejw+keRgtc/CifGH4UT448ikXwn9IsU8jsccMQPQDUsw6h+c5GiFhkJA22ZIx4DqgH7pk/EXLUwZW4/PSkgiQCHbO8Yi/b7pqOP2/bCfR/LRvVz7kO4tne4J0Xcjmsfpk+U/cZimFp3bHtjNUmE6Nvr2RB7mR7DTFqYj6EN8QMqqLWJcl+YExcZ+Hz4K/g8Q02GyJb3H8f0LTKWvceT7YctCfFBUr4lNSxe+HCa/lcGIbUwiHJDXFxLPP3UU/pfudtYyF3IRFk5e/Ys3nnnHf1vMJw8dRJLlizV77iLU7FIFEq8/lGk4PWPwonxR+HE+KNII0kLicmAxDREXDXt774MHDHmWMSgobEQGfpCBxZO36cnF4Y6kw2x6GJkN7DQoWa58dyHn3weVzYdydBrWlSLa+isHRLzxBOsbUFhk2XiotyxxUgc2dY59Kt31ee0rJ9bXAmJ4MpY8opboqJh/08woQMzjJRzT8f9HmcvXUTSru1qjp/qv4LUOZ9hQ1eZ6IkN2vgl57RGX/4hFtQ3JjsM/lBfLkPq4Aed25vznMO4nq51p76CDsbmGDvOWCas+zIG1+NQ3rI6KQnFixcPvIp22lJMfPmvmLVRTS55G0NefhtL0oCNs/+KIW8thTaqbMIsbd2JslCbu+QtbblzWhjLjX25ljsH6742fuy+TD2m8fju6+rHMXuTPu5c7rEd+e/cuXOYOnUqTp48qf+V6Zz65pvNegzKHXeXLl5Sc/1n97oHHkOecWxd9jGMsDTiXZ9n2Zd1fWc8e4lRijzBuv45Y07Fhu9roMYaI+oa5YoxS7zo67nHoOsxzfhTyy37tK5jPrbM97wGux+juT9ZlnmfxuBxvfWYT4HJ9vXPej1Sg9tr7rnc43V2iwF9sLx+1m317Wyup/qgYkQ448Q1z4gRj7iwiWEKn5x8/urXOBUL7q+nK15c3/E0fO3JQ7Djz9vnoed6wrq9Pni71mW6dro+T43Bch20uS67vQcoomUraSFStiBJL82vgHuNORYp2KIvbI/GejNPm/TmmqwF/yKmYRwkx7Bsk13mwtxHNVTI/ADemcfVvnHwEgv3VtCPc9/0PoidYJtlIcpVbCqKCoTqlxxYOraTc3j2wcI+p2X97JJmoJYMH60nKaymPv2sPu8vU99G+skTam72HT97BnXvM5ILbuq/gn/UL4ntn/8JxXv+CQmlumHs1jcRrY0X77kIesrk4CJ9WfERc/RNoO3r+B1V8KTXhEQaJjm3L4lHOts8LkUEaQZlwsSJbp3hiQ8/+kifJ23L5qhjPO3L+qdrTqBMy87oEKXmZaFMmTI4sWePxw8CizpdMOntt7ShC+qcWIN/uf14KIO452SZDC+7HlPbZ5kTe7Db+07xmLlPnEDSOlVgSH559913cemS8eNS/sq0v9IPHNDjzbNJHrOpgMqVK2GBv9WzndKwe48Wd9rrrgVT5tfdrxh6FnHa5ju+ti4z40SGJ9FEW7Jk4RqcMPf30GmslV+qKu7rdDHWbX76a9cPWG8xSrku5Ne/gG3CrIU7tOvls3p8DCy131K4q13DypzAbu8XsSzI9lo877dc2zbuxw65NqpJp0zXS8v7yY23WOb11F+huf7JJU7Ov8c1TArP3tNiXcVX5uufFLxNQxJaYqC+XBueq4HdC2W53bUuCh3+aqz3WB3Z3nzd5dpo2Lh/hxFP2IF96iIYVbOGNu0ey2m792hz6qCauSHliqDH38aP8ekO12fonfstn59p2jXlhHEd8vkdjwqMXI0/N67ProEttavTQo/EWRnLNfCvj8D10ebtu6NcOxdih3O5XHt34FNr8kJjfieU6+WJNdbvhRSpspW0kOadYmMRazadZOmjQmpHTO+jLYvtg6Q4aW4pO31AuPYxfZ/ZV4VapNGTB/L42uCWQ3AeVxLipKkpH01BZSXTY8Q8gRlmW1PLRunz+1nbryLKZX4lLpYsWeIc/JnOHtWM05YlGPbY4+iiDa5aD7LMmCeD1LKQ2hbjvwK+mqDNG75EW8OYZ65jzvPOfZ9d3v/WmLvkFQyelYKUWUO0+e9DKnS41+z4FtPNbbTB/Ri9Hb8mwzXf3K/Q962dN1nG5qjyPumE+98vvJypD4s5L/xVnydJi4BrW3hxYl0StleMy1z7IeZO3K1GxagRQzBKjXuXjIStYEIizIYPH247+Eu+iP3zX//K9INh6j//qc/LeYd4qqBD+wHwWCClszUeQhzWGAXAPjVG7y76t38/1q2B5i3BArQQkWRF37599XH5ayYx/LF582Zt2JLpx6nsQ5rpkaYCAqYKSGp2eUgvOPVe2BtIDNk5iR+teeUmT6K3FLydOK09qkuTXq6CPAoOu2ufDP4K/fUvG9JOaxHlEtXhSbfEVs2HtItYDgo77pJmJ3fsd24vhcplatTAXWra6a67tHmW943+fqqDmjWMScp5/JlCcv3zdFcpveBt4zrt81i7IjZ3BlVjtGiplyLrSaq0JV9DiwjEdbEU1EU9gqF6wZ2Xa51Pm7BvB1Dnoc6oqYee+vyNqqFPuwqvjcQY6lTlddJPdrEnQ6CCHX9pp92uYOjQyxVLenKqTA089pB85loTo5TX2MWeDIHKzfjzJkr7LZ75JpWsuH93dF47mzdWy7XHlji3JGwpeOxiT4Zgy3ZNC0s/Dw63pIUw+qeQMn4p/M9e4b7Zx4UM7kkLYe1/wi03oR/XWLTXEx/u/WIEyvYxYofp0/HSvJXG2n8HUW7zK3HRoUMH5+DPdPalYNZCYOCnn2DhO72AWV8YBfxbvsCsysOwUOZrw4CGRvNNw9sAbYZp88Z3gDTkJPPMdYZXno1lzmSDnQroON5cfxJ6py/U+76o0OFNTO4dg5jek7T5/aE9lIUkLSYA8phqu4e+HmJJang5fklavKfmyzAMGK8SJeKrr41lbI4qtDwTbFlNZ4ckJSQ5YSW1LDo/2FTv5+LAqePO/i2kVsbOSdP1QRIegZuDlQdLokHsg2paWbBNr1VRt2NgzTptdiTjeMX7MVZNu4vCEL2ZqM6oK7U1zJoaFFTjx49XYy5287ypVbuWXjhnJXcZy48Iaee9TJm7nO27y13JLw15WR/8/RK3Y+E0JJ2og8esdyv55S7UrFHG/c5gb8qU0n4qACdPmz83TiDpPVUV22xmRSkjd3laCu3cyZ1Rsp26Y6qX+eOD/DF48GDExBjfnOWvTPtDfpxKzD34YEP9zjsZTPKDQeJNmgl44YXn1Vz/mAUkNaMao5peRuLj7k6vMaTuPHaLXzNOzGr+xv61YHev+t+kKozZsq5nUzneY5T8F/nXP/UaSxz5W2nSLNBdM03fNlPTKRLTZbJfEHJnVbnTXW2fthTrdpRBzZqljIVuqrq9b/QC7zpVUdNYaOEtlvP/9TSn8SdCdf0TRvwZsVenqpz/NOhleup6Z4oqJWmrE3pS4sRp7T/9uikFcZYmv/S7ir1c63yRGj16LYoo/TPdlTRT02bhtZ4YM4+T/BGp8WfWpjGuC9a7zVWtrRo1EKV/Puak9hiFW96LP1+iYFwGLTecSG0Kdf3z2oSZ5bujfu3UfruUsv7YyfTd0vW94NMdUjuNN7RkVzDiLyvZTlr4KXaYJBCkcH8h9EoRsY2N6aQtsJb1p2xJ0vuOaK+3JxUMsRim14zYh+n2HWfkWMwTM1TyIsC+N4iCKMKaiopB7+eMJAQq3IeHYg7guFRCKHMvYr6akHWNBEutBqmNkX4ii/W3vK9qQAzBrJQUHHF+unmRcRzpbYbpiRNDBXTs8jC+2momIbwc/4kjSEmZjcHq2LpMWKkd3HFnjZA2XdQ2FFKeCbasprPj+/RUPTlhVa9ytP7XmqgQq3f+gHeWLML3B1IxpMOfcEfx2/T5gRi1aDNQv5tHsmEOmvb8E7ptPaONl8Qjg/1MXmx9EwkHo9BD+sTIxGgqatJBbdRrcoOCwfpFLdAvbZUrVdIL56zSD6Trf60FdaJWzVp61W2ptr1k6VL9B0dW6tTRSzmwzp8CDg9RHR5CnR1fZ6NtdFf170yFZVGPoHkdb8djNHGhN3fhNblB3ng2IZO5SRl7u3bt1v9KbEmTPHL3nZAmAsxh7Ngx+jKJOSlUlh+6nnfJu1N376q7jJtU1UtgA7i704ghaT4g83ZmUyhvYai6a7lJL236uZb6D1QpcDYTGr21dfR96D+irckLHzFKAYno659qEsJsrsc/qukduZNTk6n5Cln+UJ0A7wy10BMfconbZEnuqWUeXO8bdde8baGyt1guGNfTnMSfCM31z2DGn9EMSuD9jER1eDlT7Npf67wzmokyCu+MAkX75qLYTFT2RGT8SQ0d872vJzBV4bFKTt2ll+z6cUMBRbw8FX+BsjQVlXXNMv/p12X98501MXIqp/GXlW5du2LOx7MzDcGjOt7GMiTo1RJcHXFPdFZTcHXY3SVYeQsR2wXGQycEr0aEY4KlWaps9r1BFEQR1FSUDxU6YMKnn2AgpukF/7YdckvS4qUjeEzVapBaEz5J0mLhvZis1pfaGyHVxlVjRB9ULRHK/0bOn4PaQwa4DUKSFh8mfYmkndv1pEXJ4sX1+QFRyYaHbT78lkx+GsUnb8Zx2NTK8EJPhES1RnU17UmWH4f2eGan4BQS8oUtWF/a5Iua9UeDDKJDh0cQF9cStWvV1n9A+FV9u+qTOWjHVZqwAHbvPq2mvVB3SBk/hrPWRNqL0n4se9urLLcWrpC7YFfNTlqTpBcGC2mWRzpkFPJD1RyE/FCVu9SkLeTPte8O0sSPV6qAxLwzeMjCHdqEj7s7vcSQnjzztZ2V/mPZKOSzFsbohX96QR/vLg2ViL3+5USTJ2H0DyHl/h61cppIU3pajGdxabRn3vn+NT41735WSzIx74peKE1gZK9QuSBcT3MSfyG5/nlw1aiwuatYYzStUgZ3amFRppRcwNyXZ+LlWpeZkfBy3rn8njRTZYlns3aR9vj63cpsJipbIjX+9CSXpYDWSE7Jx7J5x7k2weai8ry8En++2ddGy5Llu6N+7cRJWCpXuC13I5/h2up+1Sonn3ISf5HA7HjbbFJJaio4xrbXm5Ay+o8YhWXtx9o0N+Wbtf8J+46yY9AwzqgRMX3iXLcaHv6ye4xlo9S03vcG0H5s5masiHJLhDUV5Zs047Rw2MOWGg4WUqsh5l71AZWB7V/7fstmnDgAVL5bJQ++xXdf6SO+Vbgblb+aYEmcZODzhSvRpv4DatoLvcaI0RQVhY9ngi2rafHa6DGZhkCdvXRR74zbOghpQko67JZmoiS5kd0Ou0f9kIa6UVXUlPZ+HPwhNpiJBdXfxYkjxpfHLG1dhe9QBQ1KqGlPsvwsULf5Kwjtu52CpXjx4m4/GswfDnKXk/mjQQr3zPlZadJLCt924FPVjIhxF6+rPwGzXdiaNrf9yh2ZkmSwtljrzujIVu6MauFviYcUlkihn7edqsKUbN/RnM95/kDIyQ8GKQBOTz+g/yiVO9slxqRpHrmrzkrmyQ9VaU5A7n6TwuTXx3q/tpp375o1I8y7hu0L2XzFkLor1FfiTTq7dTaRo9qAv6uU9gHxtutOeW8/XiniBPv6Z8fnNXDjx6672FV/F2X00mYrST4Au/dYLmKZrlubsHaNFnU2hcHmne4npA8Yb9UtdCr+T9jvxy+8nnoVquufJ2tiQo89LdpctQ7NOHlI70vFSNZqn9fODmctvFzrvEaQ3kyUpUaONrjXwDGTaAv1Qmw2E5W7QhV/G2e7ave4Ys/sw8TsuFgbmNAv0HI3/oxpb9KWLDKa1HsokGZt3b87Opuocvajl4YlX3v7bum6gSCLSmuU58RimPT74CXREDvMo08K6dBa7yfCMk/1E+EcPDrQzrQPK89tndtnPi49SeIxz9i3R78Yntt6ewyb+R6HTpSrIqypKC+cTTpJM0vA8P5GoqBh/YddnXM3/AN6w2yOaRqOVLZ797tU6NAFbb6aoPb7HWCpcVHhvmaApXNulwcw4J1eSJfH1Lcbgq8fmmRpOsoLqTEyrBJmvWRux464w8EzwZbVtBgz+jU1ZvCcDgapadGq9n3ZaipKt2A+lqKks0PuJZOn43Bz6Y9CGzpG4fjWN9HUvY80Hzaj67ozuPsONZnJZnycdga44074V4eDIp3cabxr9y79R4d/VAd2OxYaBblNnlRNVxh33f1rzQntt+zLbh3QOknTTned0At93Zh30kv76VKd260PAkub65n6FhDS1MpdkLI4e2bb21ncdVqAmcmKnN7lJD9UhTQFID9GZZAC4W82f6PPN5l34UmBsRQsC+8Fx6qAxO3OOfM1tdzd6TOGXIyCPutddGbb/TJ8jI1ajD5W6mv3ffVqDOns8c6v1Xraj9syLZ+1NDeQVYxSpAr8+mfD1zVQW9b8tNG/hX6Hep0uzibJrKSA+S63i5g0MdUFdZztcrtiMROVTDD7MvDFiH9fhcpZX295PbUXmuufi7f4kruQzT5UMvdBIk3cWePI6CNDr5nj5Vrnjd5MlEeb72bixLwD2ijsE2wmKreFKv6a9HoIP6prgjP25GYR/WPZkoRV1yHrDQVmzPrfNwHlVbkaf7afc67PLmM9jyahnNdAbbAmcr19d5SaaJKMcy636yPNxUx06AlgIiIKukIlhz9zQ0Yc3Z/VZ3ia9v4Hasx/z/Z/Ro0RBVflKKO/CJGeluo2LezmCakpMWnSJDVl1K6wJig8p4cMGeKWpJDtvSUt5DEbv+3q9UE635Z+LKQzbmkKKivSB8bXY9/2e33KH2Y/2gOPPfaYmgrMp59+il6LE/TxTS+Pcot5uZtJ7naSzmilKZSsSOd5o0a95vf6lD8sX/GlX/EnTUd5JjQk/tq1/b0+br3mShwVv604hg0dqk8L6QxPftDKnXXmj1S5013uypMftlQw+Rt/drzFn+D1j/wRivjj9Y/8xfijcGL8UTjlJP4uXjivxgye3wGJKP/KssaFJCECHYgikSQjzCEpKcnntKdAalpIk0/Sj4WvJIQkN8xOuyuXNu5PkyaliHJK7lySHwS+CuGkcE8K7PTxk6f0v+aPCiKrQGphDBs2FM8PHKimDHJXnTQDYI2vu0rfpd/pnqO73Ils8PpH4cLrH4UT44/CifFHREShlDeaiiLKIUk8BDrkRFb9VdSrZNSykJoZc174q57kWLR5g1pKlDO+ql2L9HTjLmO5M3nqP/+pF/JJe7NEOSE/Tu0KgD3jsVEjo6E5ufNOCpClINlsZoAop3j9o3Dg9Y/CifFH4cT4IyKiUMqyqSiiSGKtDmhXPTAcVQblMa1NRflLal1UKn03Dpw6nu2OuSnvkqaicsJbU1H+kh8LJ06cRJkyd2VZ0Ef5j1TVzglvTfX4S5oKWLBggfPOd4lBNh1QcIQ7/nj9K9h4/aNwYvxRODH+KJxyEn9m7JmyG4NElPcwcUF5ivXDye7DKhwfYPKY2UlcEAVDdhMXRMHAHw0UTow/CifGH4UT44/CifFH4cYYJCo42FQUERERERERERERERFFDNa4oDzFmlW3y7LLPCIiIiIiIiIiyvvsyn1Y44KoYCh04fw5PXFBlNd4S1zk9geYPGbd4ylqiih37ShXE3UO71ZTRLmL8UfhxPijcGL8UTgx/iicGH+U2843bavGDExcEBUcbCqKiIiIiIiIiIiIiIgiBhMXREREREREREREREjB3H6xiJ3gUNMmByb0m6stJaLcwsQFERERERERERERka4aqqWOQqbcBRHlKvZxQXlWJPVxUaduPTVFlLt27dqFWrVqqSmi3MX4o3Bi/FE4Mf4onBh/FE6MP8ptFy+cV2OG0Jf7SI2LiUCPOCQlAENnPIEYfb7UuDiKLs5pIgo11rggIiIiIiIiIiIiMt37BHpET8fEuXaNQ6nmpGLV4KyaIfP7Ya5jLvrpy7RxbXPHBHPdCbBW4nDNj0U/28chKtiyTFz8ecrGgAciIiIiIiIiIiKivCp22FhET5+oJx/cxeCJGQ44HDLEY0BqgmWdfZguNTVk2dhoTO8Ti02NjXXHtl+GBLWiJC3M+bKPuCS7xyEq2FjjgoiIiIiIiIiIiMhNLIZJ8mGhTWcXjgmqtkQfTN+3DxlH1HxUw4ChqjmpeyugWrUB6BKrL9AmqxkjSMHRVGDZKLPGhec+iEiEOXGRgoSeTyLBmVGU6fqoPy6Ivd84xgV3f0RERERERERERJT/xXbBAM+OuiVpkVAB8XptCalJoeYHpBoGxJs1LoxhmEpwEJEhy8RFuWOLkTiyrXPoV++qz2lZP7sc47piebsF2DqC71QiIiIiIiIiIiIKpxg8MXQAUhMSkKrmpEh1ieh7nJ12b1qmjwQgBvdE77OvyUFEThHTVFRKwpMYjMmY04N98xMREREREREREVEEiJGOuvdhn3OyB9ovG6WaedoEZKPGReww6RvD3IcM7h13E5GfiYslS5Y4B3+mA/bNOHRd3hYLrDUtUhLQs2cCXK1IWabVuCPhSdSvX18bbJqbMucfVrMVSZAYyyxNUqn9JYyT+eN4oaCwu3z6KI6evqymDFfPn8DRE+dxVU1ndhmnj57AebWC7OOEOWF19TxOHD2trU2Bsntd9PO+ezOSNu+G56LLp3djc9Jm7M60jekyDm9bj837LK/r5dM2j5G7GH+RifHH+Asnxh/jL5wYf4y/cGL8Mf7CifHH+AunghJ/mUnH2zPwhMd91bHDHHDMUH1XSN8XziaehmGYtsxo5slj25gnMMO5jUzOwAzXQksH38Z+2P4MkTu/EhcdOnRwDv5MB2YnJk1ahM59ezjfyH7ZNQkzMQpbt27FgiHApHlGukGam5pUbbI+f+vWUcDyRfp8IUmLMWobGSZjMJzdX2j7S28u80fwQkFhd3bjvzEmfhWOqWngHNbOGosZX5/ATWpOZlvwyZhp+OqAMbVt6btIWHvImLA68BWmjflEW5sCkfzFJIz82xiM+cR65s5h/QcjMWrGp1jx6QyMGvkB1p9TS9Z/gJGjZuDTFZ9ixqiR+MBcYHFoyVS8u2wbvv73q3j3C3m1r2L7oin4dNuvxgphwviLPIw/xl84Mf4Yf+HE+GP8hRPjj/EXTow/xl84FaT4I6LIFQFNRdXGkMlDsG+wtdaEH2oNwWuqWamYRm1Ra99hpGj/Du/rjMnOmhsx6NG3sxoHjqTvxK5JXZ01LgYvAvYdVg+q7a87MxYUQk03rcZNX36qDzLuS9kGNRGduhvfmd/czn2LXftKo859VdSMrDV5cjxe6hClpiinLhSthWe71lNTyrnN2PJtWXQcMRHjJ45Ax7LfYv06edHOYfOWb1G24whMHD8RIzqWxbfr11m+iBvSD6ci6qGBeKlNLaQdTtM2WwvH3lpo1bqEWiN4GH95G+OP8RdOjD/GXzgx/hh/4cT4Y/yFE+OP8RdOeT3+iCh/iIymou7tgTmTq2JS15w203QE6bvUqBedJxu1LcyBfWpQbpAvapvOnca1Gzf0QcZ9fnkr2wA1o1OxW31zu7o9GftK14H+ve3HTfj470PwQv/+GDhoJP6xZC/sqs+und4foxcmGxPJX+Aff3sB/QcOwuufp+IXYy4FoH7rdoj2vN3n5HmcRXHceqdM3IlKFcrg5ysXZQHOnwWKGwtwZ6UKKPPzFcgSb/537RqSV27AL42aobaaFyyMv7yP8cf4CyfGH+MvnBh/jL9wyhfxd53xl1fx+sf4C6e8HH9ElH9EQFNRSuwILBiyH4PNfixiyqHarhX4RlWISPlmBbLISWhi0bzzIsx0Vt1IQcJMV1NR91aujUUzLf1mEOWSLed/UmMudvNcyqJBzWikpuzEOe1r2cbdO1C6zn2Q7224swFiOz2FV//5T7z5dC2c+TwRK4zvd16tX7MEJ2v0wltvj0XX6kX5xS1EihT2ckktUtj2YlvslmK4dC4N3x89jrKlzmLd1rtR9cp/MGTQCxj098+w1+4beTYw/gqGiI2/C4y/goDxZ4/xlzsYf/YYf7kj4uOvkPFHMP7yH17/7DH+ckekxh8R5R9erjLhEdNjFIZgErrqyYtYdJe+K7rW15t1GpNeFbXUer7EjpiMas7moMYC7VxNRcX0+BiTq2n7V01FuXfqTRRZ9Oqye3Zh84/fIWWvezXZkjf9jD1ff43vTv8PN+Nn6Dc5eJWM40f+h/IVH8DtxW5HtSrlcYdaQuHVsEN3VMpIhONifTTHXhypXxZn192MdmPewR9LrMS6zWrFMGD85X+5Fn831N8AMP7yP8YfhRPjj8KJ8UfhxPijcMq1+MuhXTt3cODAIcSDv/xKXDz33HPOYdmyZT6nAxODHnM+hqu1Jpneiq1zjI66JdHgbNJpxAjMUfO1Ba5x4TYdixHOpqC0ffcYga3OPi8ksWEuU8uNB3LfH1GQNbz9d2rMxW6eG726bDJ2ffodfrhDVZPVnEuagVc/WIlDPr+sUTicvXBWjXk4ewG2S+5sjC4DB2FQ3yic+uEWNH34dvxy+RbcXOImFC7yP1y7ptbLIcZfwcD4o3Bi/FE4Mf4onPJM/N1g/OVHjD8Kp0iNv2Bo1KQZBw4cQjQEIsvExcQJ4wMeiMjdhsat0LhEKRQpVEgfZFzm+SbVZStiz/c/4A6zmqzm5E+ncHOd3+OJjnGIq3Mniqr5huu4nunDvhJK3/0bHDq0HVe1f8dTD+GUWkI5VKk07v7NIRzcehm4vBOpB67i7tKVZIFxzg9uxWXt387UA7h6d2ltrr1zq1ZjV/VYtChRBEV+cw3Xr161eR2zj/GXTzH+GH/hxPhj/IUT44/xF055Nf7uYPzlC4w/xl845ZH4I6L8I6KaiiLKz+SL2tXfP6YPWX9pM+jVZbUvcNZqslXuq4fS33+El4YMwZB/boKrpdC6qPPAz1g5eTTMPskMN6FJy4dRfNN7eL7/ILyz6bQ2h4LiphZ4pPM92BE/CP0HTcPW0p3xSAs5uzehxSOdcc+OeAzSzvm0raXR+ZEWXs77ITg2X0LDFnW15Q/i/kYH8d/hw/Hfgw1Rp65aJQgYf/kQ44/xF06MP8ZfODH+GH/hxPhj/IUT44/xF055KP6IKH8odOH8uWy0PkgUfulpqagcFa2mDHbzQk0es07demqKKHft2rULtWrVUlNEuYvxR+HE+KNwYvxRODH+KJwYf5TbLl44r8YMoS73kfb3A23Ohoj8983G9ahVu46a8o01LoiIiIiIiIiIiIiIKGIwcUFERERERERERERERBGDiQsiIiIiIiIiIiIir1Zh5MhVajz4Vn30EfbLyP6P8FEAD7P/oy4I4WERhRUTF0RERERERERERERBF/yEx6qRI7S9Gqo+tRCvt1YTRPkMExdERERERERERERERBQxmLggIiIiIiIiIiIi8scqac7pI3SpEoOqMlhqVKwaqeZVkVoRqzCySn/Mn9dfm+6Cj6QtqFUj1HJt6KKah/JCmoFyrqseQ/b/7Lx5eFab10V2KMdi7mS/5Zi0wXlYevNTcixqmdvjWubrx6zmfvSRNsjjq+MmCgMmLogi0mWcPnoURz2G05fVYsoTLp/ejc1Jm7Hb6wt3GYe3rcfmfedxVc3RNsLRsL/QjL/8gPFH4cT4o3Bi/FE4Mf4onBh/FE55N/6yIxVvvge8mZyC/dowDe8Zhfv7P8KaqGX6vP3J49Ba+/d68vvo1v19bXohnqqqrdN6nFquDW8C6105j0ykGSjnui0z9Mdo/br2eN27Y5o2b6G+Q9MqjHwkFc+Z6ycvQ9R7rkTEkgFJaKmWLemwBHP0BfvxURfX/P3JcVhjZjvS3tCe1ZvaPHXcRGFQ5G+vvDJajRPlKWfPnEHJkr9TUwa7eaEmj1nm7rJqKlg24uOXp2Hxtm34bvM3+OYbYzh7x8OoW16tQhHt3PoPMPrd5dhzaB82r1iNQ3c0QoMKt6ilhkNLJmPq1z/hp60L8M2Vemha5RZsXzABX1xshEZR7ut6c+rUKdx1111qKlgYf3kd44/CifFH4cT4o3Bi/FE4Mf4onEIZf7/+ekWNGUJd7nPq5EmUK19BTVmlIykJaNUqShtdjZMNh+BxbVRE3diBRedboVXD4jg4rj3G/dwO3eqVMhZat9NJDYffY8DUdzH1P+tw7j5j3XQt/kvUq4dSp7dh2/l6qCerSw2Kxo9jpKy7ZB3ubfEi9IdPWi07hL7HdG39Etr6px042GIIOpsPg1Kod+dqfJSuHVeJbdhZqSP6qGMqVfxnJO0sjlb1DmHRiPGYIPvXhyXYVbgu2narh/NJJ9HwpceNxyAKoiOHD2mfI2XUlG+scUGUS268MRY3nnnKGLTxrJVG82fGY/x41/BkE7WIItw5bN7yLcp2HIGJ4ydiRMey+Hb9OhxTS03ph1MR9dBAvNSmFtIOp2mbrYVjby20al1CrRE8jL+ChPFH4cT4o3Bi/FE4Mf4onBh/FE6RF3+hF40o26RaVTy1MAVv4hW3ZpdcPGo4LH0VNdWSzFZh5CuuWh37p3dX87MnqoJ9tYmov5k1RNSw8CntWciCaDBvSOGWZeLiz1M2BjwQkTv9S1taKq5fv6YPMu7flzcbyQsxuv9oTHpnKAb2fwEj53yDC2uno//wiXhn9AvoP3AQJi07qK34IzZ9/DoGDeyPgYNex8ebfvS+vbGEguYkzp8Fit96pz51Z6UKKPPzFVzUp+z979o1JK/cgF8aNUNtNS9YGH8FTWTF3/VxYxh/BQrjj/EXTow/xl84Mf4Yf+HE+GP8hVNkxV9Y7d+v9x2hN/E0HViTKXNxCGk149BaTa2a8wZ2q/FM9mcAHZoZSQRJeLw3Tx/zqmoFpA2wJktkG6Cl+WC2ygNLXmEfFhSx8liNixQk9KyP+vXHwaHmEOUJB9JxQ/tXSP2TcZnn21nsXjETM2eqYdlONd9wV7MX8eZbz+MvLerjtzLjl6Ko/sQbeOuVfvjjgxVxbtV/MGffveg6cgpGdr0X++b8B6vO6ZvqMm1PoVOksO3FttgtxXDpXBq+P3ocZUudxbqtd6Pqlf9gyKAXMOjvn2Gvs+HPHGL8FWxhjr9CBw8w/goyxh/jL5wYf4y/cGL8Mf7CifHH+AunMMdfWFU9hDlmR9fvRaOnnjRojZYwO+dujZ5R7xnLtWFNlI8aF1WfQsu09mrdV4AOrhoXrVvC1Tm3U2u8vjQa76l969u8Kf1s+CI1RJ5D2iPmNtpg6WicKNzsriW5SCUixtmnIRzjPJalfIP0dguwdUFlHDZnpySgZ88EbU9E+c0t+F35aERHq6Gstfrk3ajYqBxuv70aqlW8yZh1R3lUqXY7bi9XE9F3AvsPpaHU/U3R9O5iuLtpU9xfKg2HnJ9pNttTrmuoffGolJEIx8X6aI69OFK/LM6uuxntxryDP5ZYiXWb1YphwfjL7xh/jL9wYvwx/sKJ8cf4CyfGH+MvnBh/jL9wiuz480drvP66SgO0fsq9w+rW42Asks64PZpckrmvyzyjk2trh9uvP/WUNhhrtdbG9bGq2r7Nh9G3U9s+ZT6GLDA6+NY757Yei7btQrVvt061LfvUadPm42o7cB2zDOpBnMdDFEZZJi7KHVuMxJFtnUO/eld9Tsv6gamNWvvWZa5BkZKAmfu0ZWpSF9MIlZd3Rf2u6SgXq+YR5QWVKjvvNDHvPJF5vt2Cu2vGIS5ODfVy0rpgERQufBVXf1WTlLvOXsBZNermzsboMnAQBvWNwqkfbkHTh2/HL5dvwc0lbkLhIv/DtWtqvZxi/BVsYY+/Soy/gozxx/gLJ8Yf4y+cIiT+hMSfjvFXcDD+GH/hFO74I6J8I8w1LgzVqu3HzAT3OhMp36xAtXZt1ZQpBj3mbMXWrSPAvAXlJYVeHYVCUdHalyf5AlVEH5d5oVS1fBRO79qGnZeByzu/w45T1RCVrxqPjGSVUPru3+DQwa24rP3bmXoAV+8urc21d27VauyqHosWJYqgyG+u4frVq7gexC9tjL+CJtLi7zXGX4HC+GP8hRPjj/EXTpEZf4UKFzZiMCqG8ZevMf4Yf+EUWfFHRPmHX4mLJUuWOAd/pgNVuXlbYPk3luaeHJg3qSqal0vHLjVH5o2rL/1bGENPj0SHk2Occ536ziakZNtxSEh4Upv/JIxNzf4yjMFLa1VEQSNf1Ap98JEx+PWl7Ri+fLs/+vd3DdPXqkV+KNHi9/jD7VsxbVB/DJq2Fbf/4ffaFwO1kELsJrR4pDPu2RGPQf0HYdrW0uj8SAttrp1DcGy+hIYt6mrLH8T9jQ7iv8OH478HG6JOXbVKEDD+ChLGH+MvnBh/jL9wYvwx/sKJ8cf4CyfGH+MvnCIv/ogofyh04fw5VW/P3tBhw/Hee++pKSNJ0aFDBzWVefq5557DxAnj1VRWJHkwFnjtY5SbVx/rmm/FCKlK4RiHnoe7Y065eai/rjm26jOtJBGxDs2l5oX0cTFG28WcHoiRpIVl/ZSEJzEGozCnxxFt/cHYN2SBNh4jS5yPq09a9yeTlCekp6WiclS0mjLYzQs1ecw6deupKaLctWvXLtSq5daoHlGuYfxRODH+KJwYfxROjD8KJ8Yf5baLF86rMUOoy3127dyBRk2aqSkiCrZvNq5Hrdp11JRvEZO46HHETDrcazPPlYjoOmmnPi59YwxZoK0DV+ICbsuVzpO17eGRmJBExWAs0sdNan96IoPyAiYuiPjDgcKL8UfhxPijcGL8UTgx/iicGH+U28KRuCCi0Apq4qJ9+/ZqKmvLli3LXuIiRo33bYvl68phjiQrLDUo9KRFeh+VxLBs55G4MGpYeGYfPGtUsIZFfsDEBRF/OFB4Mf4onBh/FE6MPwonxh+FE+OPcltuJy6IKHL41ceF1KgwB3+msycGjdoBkwZPQrXmmdMJR9J3olble42JlG+w3NX5hVNMuarYNWkesu6u4l5UrrUoU4fgREREREREREREREQUXn4lLnJLTI8+6FxrCLrbVIOI7T4EmNTV6Ex7TDqq2SX4Y0dgwZD9GGx2zu210+0Y9JgzGdXM/cng7MibiIiIiIiIiIiIiIjCxa+mogLlf1NRRNnHpqKIWFWbwovxR+HE+KNwYvxRODH+KJwYf5Tb2FQUUcGVZeKCKFIxcUHEHw4UXow/CifGH4UT44/CifFH4cT4o9zGxAVRwRVRTUURkekyTh89iqMew+nLajHlCZdP78bmpM3Y7fWFu4zD29Zj877zuKrmaBvhaNhfaMZffsD4o3Bi/FE4Mf4onBh/FE6MPwqnvBt/RBSpivztlVdGq3GiPOXsmTMoWfJ3aspgNy/U5DHL3F1WTQXLRnz88jQs3rYN323+Bt98Ywxn73gYdcurVXLg2Pr5mL8TqF/lLjWHgu3c+g8w+t3l2HNoHzavWI1DdzRCgwq3qKWGQ0smY+rXP+GnrQvwzZV6aFrlFmxfMAFfXGyERlHu63pz6tQp3HVXsF9Hxl9ex/jzjvEXeow/7xh/ocf4847xF3qMP+8Yf6HH+POO8Rd6oYy/X3+9osYM4Sj3IaLwYI0LolwyYcIEPPvss/og41krjebPjMf48a7hySZqUQ5dPL4HWzJ+UlMUfOewecu3KNtxBCaOn4gRHcvi2/XrcEwtNaUfTkXUQwPxUptaSDucpm22Fo69tdCqdQm1RvAw/goSxp8vjL9QY/z5wvgLNcafL4y/UGP8+cL4CzXGny+Mv1CLvPgjovyBiQuiXCBf1NLS0nD9+nV9kHH/vrzZSF6I0f1HY9I//oYX+g/EoAkLsW7VTPx9yAvo/8Lf8I8le41qlx7rDX1nCfbqC9Zi1ZfaV4jvEzB6YTJwKBFvDnwXq87JMs2WWRj06jzsVJOUHSdx/ixQ/NY79ak7K1VAmZ+v4KI+Ze9/164heeUG/NKoGWqrecHC+CtoGH+Mv3Bi/DH+wonxx/gLJ8Yf4y+cGH+Mv3CKrPgjovyDiQuiXHDgwAE15mI3z91Z7F4xEzNnqmGZ9avUVZSs/xzeeOtFxBVajX+vuxmtB7+Bt565D2c+X4415pcwbR+31HwOE6c8i4aXvsAnS9K0eQ3RtEUZoHZnPNumElC+HmqV24dd38pGV7FpxzbcUb8BvzwEU5HCthfbYrcUw6Vzafj+6HGULXUW67bejapX/oMhg17AoL9/pr5o5xzjr4Bj/DH+wonxx/gLJ8Yf4y+cGH+Mv3Bi/DH+winM8UdE+YfdtYSIIsIt+F35aERHq6GstfpkecQ0L4fbb6+GmtGlgbsrolG523H7fffgbu3L2vmTajVUR5025VCsWG3cX7M0Dp84rM0rpn1h0N76NxVDmdtv0qbLI/aBKti361ucu/oddv9QBvUfrKJvTaHVsEN3VMpIhONifTTHXhypXxZntS/h7ca8gz+WWIl1m9WKYcH4y+8Yf4y/cGL8Mf7CifHH+Asnxh/jL5wYf4y/cIrs+COiSKRdvYko1CpVqqTGXOzmubsFd9eMQ1ycGuoFoVcyL0o8WAfVkndh8/rd+KHSA4gN3UMVTGcvaF+nbdzZGF0GDsKgvlE49cMtaPrw7fjl8i24ucRNKFzkf7h2Ta2XQ4y/Ao7x5xPjL8QYfz4x/kKM8ecT4y/EIiz+bty4gYoVK6opbxh/+QbjzyfGX4iFOf6CJw0fv/MsOi6VmjsWm2ai7JwNmcfdbMCIYc+irHOYCYdaEgkcc2yeF1EEYuKCKBcMGzYMUVFRKFy4sD7IuMwLveM4+O1xXL16HKmHTqFcmXJqvubadThrYpZogQfrpeG/n3yPqDoPwnpvC2VHJZS++zc4dHArLmv/dqYewNW7S2tz7Z1btRq7qseiRYkiKPKba7h+9SquB/FLG+OvoGH8GRh/4cH4MzD+woPxZ2D8hUdkx5/cwT58+HC1NJQYf+HB+DMw/sIjsuIvaNJ34JPSDVB37epsJh0aYN6EaTgmw5+A7u8sRthSBR4Jltie0/D5I1FqiihyMXFBlEvky9u0adP0wb8frcfw5dv90b+/a5i+Vi3y21WkLnkDzz//Gpb+/DAe72B8MFWqEIUSu+fiDemcTHcTGlSrhSI31cODLfi1LeduQotHOuOeHfEY1H8Qpm0tjc6PtNDm2jkEx+ZLaNiirrb8Qdzf6CD+q32p/+/BhqhTV60SBIy/goTxZ2D8hQfjz8D4Cw/Gn4HxFx6MPwPjLzwYfwbGX3hEXvwFQ9ruH1C3Sl+0qf0dvtqkZmZX45roc+KU9uyJKBCFLpw/d0ONE+Up6WmpqBwVraYMdvNCTR6zTt16aiqCJC/E6LdPodX7A9BCzfLlUOKbmPRjHN56urGXLxgUiXbt2oVatWqpqQjC+CsQGH8UTow/CifGH4UT44/CifFHue3ihfNqzJA75T7STNRqVHypL2KltkJyTRzr2dRYZJ32XOYkTUXtRpsJ2vYe0+WXvo7/w32ou3Y54mv31LdN0+Y1W3tUX9OoqaG2S1+Mjp8BL1f7Ad3V8j5/moZxjfVR4/E/+84YL9MO6196FFH6sScA1cpi2Nrv0Of+BojfptbBPZgwYCQqfv0svqpi7kfWfwvDTugruPZvu2+i3MUaF0SEnYvHY+pX/0Nsc35po9zH+KNwYvxRODH+KJwYfxROjD8KJ8YfZWnTagwrXdNIHkhtiZ27c9RHRdrSVYivrfan+XbtKbSRJqTMpMW++7DeW7NSJ5bjbfQwlg1oh+2fqf4yzKSJ2m59tR/wf85+K45i2E/GsnFP9NX22QCQJMmEkXiyslpFp5Icf1KPPaEnoO9fm7/hGCYMUPOZtKAwyTJx8ecpGwMeiCgC3FUbv+/eCG6fSV6UqNAcfx72Mv5URc0gyinGH4UT44/CifFH4cT4o3Bi/FE4Mf4oiBzJ36FPFbMWRdNsNhf1Hbqrzrn1xISlVsYDLVo5kxiHfgIm/MmSGGjcChPwA75OV9Nl2uEfZn8UlR/Fy+pY0k4fA3bOcXYALjU2vv3puLGe1Kx4yLMWiJ3j2H/iKIZNNzsRn4N4HMPB9ChULC3zI6tTcSp4WOOCKL8qUQ1N4+qhvJr0pXy9Zri/XDE1RRQEjD8KJ8YfhRPjj8KJ8UfhxPijcGL8UdBswFc7gfjPzML8Z9FdppNdnVv7x9I5d4hqLDzQ4q+qpoQaMjVZ5Q/LceqDUStDOvA+NqEmvpJzEM6OxalAC2PiIgUJPeujfn3P4UkkpKhV/OAYVx/j9PSf7C+wbYPB9fhERERERERERESUZ23abfQ94VaY3xN9dq7Cx2YtiCAq/ztg2GeWxIA0U4X78JBZfeiEpfZF+mK8vbMB2jQGokqVxbdrV+ewRsTdqFrmO7ztbGLKU1OMm/BX9xogRLkoy8RFuWOLkTiyrXPoV++qz2lZ3z8x6DFnK7Zu1YbJnYHOk43xrR+jR4xahYiIiIiIiIiIiCgXuDcTZZLmoo7ik93Br3cQ9chIzCu9HM1U7Y6ynwHzrDU0ypTFfrP2x/Qf8PgA1XF3475Y3+KYszkqGUZ4a85K76dDmpV63SP5EoUnX+qJumvfcu7DqF0hfV+Y+30Ln1Tr4dE3BlHuKHTh/LkbatzW0GHD8d5776kpYMmSJejQoYOayjz93HPPYeKE8WrKT45xqL+uObaOMFt485/UeFjXfCtGxEqNi7HAa7mb+HA9vppBuSY9LRWVo6LVlMFuXqjJY9apW09NEeWuXbt2oVatWmqKKHcx/iicGH8UTow/CifGH4UT449y28UL59WYIRzlPmGTvhgdPwP+wc6xqYDyq6koSU6Ygz/TwZCS8KSr+aieCUiBA+OczUmN86MqlHV9owkpfZ/Wdp1SEtBT37eRgHA+nqwjy8xptY6zOaqEcfp8zyaijH2Yx5b58YUcQ8+EBGMZ25giIiIiIiIiIiIiInLjV+JCalSYgz/TwRDT42PVdNRWLGi3Al3rr0NzNb11QWXM9FnoL0kD6/ptsXxMAtCjDzovWudMeqR8swJo1whSQSN2hFpXGyZjMOqPAV4zt++bjjHOzjN2YlJ6c32+tZaFJCQGa1tu3ToCsV4e39zDrknpxjJW0yAiIiIiIiIiIiIichO5TUXJvMGL1ISNWkOwYE4PHLFrKgoJ6Nl1EnapVQ2dMXnrCMBt/XkoN0cSDUbioeukncaqdqQPjhH3ZmqOSmpZzNxXG7uq9XEdv9TW8PL492qPMwajMIcdeeRYXmgqqvCKT9SY4Xrbx9UYl1lxmcHXMm98VdXOzv6IAsH4o3Bi/FE4Mf4onBh/FE6MP8ptBbqpKKICLkKbinJg3GBgslljwa3zbjXM6aHXlPBKEhvW9fWaEEBs885YtM6hPcQ8TKrW3OjQJiUBY5a3da6/YEhtbfMFlm21IavaEfsOO2tU6Lw8PhEREREREREREREReRexTUW5pCBh5n7U2hfv7CciSzHlUG3XJMyza00qtjuG7FuHcev2Y0h3u1SCA/OWa38mzXM2KZWVan0/NpqzMvvC8PX4RERERERERERERETklV+Ji9wXi+5D9mOw3rG10TTTnNfaYnlXs7Pr+ujpM4sRixELhmDfYNf6ro6wY9Co3X4s2tcWjcwqGzE90LfaJHTV112H5nO0x5sM9fjGkFU/2tInh9EXh3TE7evxiYiIiIiIiIiIiIjIG78SF9JvhTksW7bM53S2xI7I1BSTq3Nu1Z9ETA/MsTS9ZPYRIZ1qG5vGoMccV98Tnutb96/v26OpKVfn3KpJJzkmy/a2j6FxPb7ar5fjNR9f1mH/FkRERERERERERERE9rJMXEhH24EORERERN5Ix43WgYiIiIiIiIjIKkKbiiIiIiIiIiIiIiIiooKIiQsiIiIiIiIiIiIiIooYTFwQERERUYHBpsqIiIiIiIgiHxMXREREREREREREREQUMZi4ICIiIiIiIiIiIiKiiMHEBREREUUMNuNDRERERERERExcEBERERERERERERFRxGDigoiIiIiIiIiIiIiIIgYTF0REREREREREREREFDGYuCAiIiIiIiIiIiIioojBxAUREREREREREREREUUMJi6IiIiIiIiIiIiIiChiMHFBREREeULhFZ+4DUTB5ivGfC0jIiIiIiKi4GLigoiIiIiIiIiIiIiIIgYTF0REREREREREREREFDGYuCAiIiIiIiIiIiIioojBxAURERERERERERGRkwMTYmMRqw395qaoeYaUuf30+dbBuU7KXPTzWBbbby6MpSmY20/mTdD27s4xQeb3g7Ebcz3rYGxj99iu/dsz9u0a5Fht96MPxjHYLZ9gHICP56fJtDzzcyXyFxMXRERERERERERElO/NX7BAjWXBsQnL1Oi+pC22iYH2Yx1wOBwY215bZ3ofo2Df1H6svsxhLEQft4X+ao+xsg99GIZYNVeYj+2IH4Bqsn8vCQJJWozSnohzfcdYxGnzY56Y4dpeVqw2APH68hl4IkZmGFzbOTDM/QCM+dbnJ0mLPtOxz7kvB+IHVFAbEAWOiQsiIiIiIiIiIiLK1yRpsWTJUjXlm2OTpC3ao3177c++JGzxUaUhtrGsBKQetVkptrG2F03qUZ+1IrIt5gnMkOQBliHBo2YItEc8mip/26OxM+kQiyesmYmcsj6/IxnYp41Wi2sI8xFinnjCLeFCFAgmLoiIiCjPK7ziE7fBytcyIiIiIiLK/wJJWgAOGHmLxhimJyX2IclH5sJIcgDR99gkBMyaG9H3OAvzg+7eCnqticw1Q2JwT7T8XYZRzmaogsz6/MzjmN4HsdmqYULkjokLIiIiIiIiIiIiypcCS1poVGF8e6mmoGoU2DUXtWyU0Y+D2RSTW1NKy0YZfTwYC+FwW+gvSTioviJ89WMRcw/0/ISN2GHxGKC3BbUP0/sE3ueE+Rxd/W8ods/PWfvDtdyzfxCiQDBxQURERERERERERPlOwEkLjVmDwii0H2XUKLBpLspr/w/C7ANChmwlLYSlj4sZT3ivsZFyFHqLULa1OmLwxAzZx1ijSSdJhgRQG8L1HN37vvD6/GKH6fPijWwJ9k2fGJqaHlQgMHFBRFQA+Wo6JxTLiIjyM1/Xv1AsIyIiIqKsZSdpIR1MJ0imwq2Dab0BJJ/NRYVTypYko2+JCvcaM2zFYpiZvAhVfxsW0vm3ed4yjhjziALFxAURERERERERERHlK926dsWcj2dnGnxxJgGsHUw3jPPSh0QESJmLidO1I642AEMzdbqdgrkTLE1Mhbq/DccEuCpzpGBLkn4m4TOfQuQDExdERERERERERERUwJmF7R4dbcc0RJyRucjUXFT2WPqu8Nlptvf1nH1P9JmOfdJsk7empFKno4+5D+mPQmqSBNB0lauPC//6q3Ct3weST2k/1qOJKaIAMHFBREREBZav5nh8LSMiIiIiovzG7A/Cs88Kc75RCC/NIGVeR5EOqqWJKfuFzv27BmOfscNc477WMx/bbfCaiLDZj2eCwzxej/l2jzPDOADvz0/1b2EdvB4akR+YuCAiIiIiIiIiIiIioojBxAUREREREREREREREUUMJi6IiIiIiIiIiIiIiChiMHFBREREREREREREREQRg4kLIiIiIiIionyu8IpP3AYiIiKiSMbEBRERERERERERERERRQwmLoiIiIgC5Ouu1VAsI7LyFSsFeRkREREREeUfTFwQEREREREREREREVHEKHTh/LkbapwoT0lPS0XlqGg1ZbCbF2rymHXq1lNT7jzvBLze9nE1xmVWXGbwtcybXbt2oVatWmrKXV44fsrb8kr85YdllBnjz4XLcl92448oGEJx/SPyF69/lNsuXjivxgyhLvfZtXOHGiOiUKlVu44a842JC8qzmLgwcJkhvy/zJq8U3FH+xIJjl1Avo8wYfy5clvtYcEfhFIrrH5G/eP2j3BaOxIW/hapEFLhA3mNsKoqIiIiIiIioAJMCZ+tAREREFG5MXBARUcj5+jHMZZG/jIiIiIgoJ/hdk4iIAsXEBRERERERERERERERRQwmLoiIiIginK+7FHN7GRERERERERVMV69eVWMGz+lgYuKCiIiIiIiIiIiIiIhsXb9+HXv27MWmbzbjypUr+jz5K9MyX5YHGxMXRERERERERERERKHmGIf69eurYRwcajZRpCtc2EgjXLt2Dfv27cehQ4f0vzJ9Q/tnLg8mJi6IiIiIiCjP89XEWXaXEREREQVNSgJ6DgYmb92KrTIsqIzDzFxQHlKu3L3635/OnEFqWrr+V5S715gfbExcEBEREREREREREYXSkXTs6twcsWoSMT3QwzlBFPmOHDmq/y1SpAhKl75T/yuOHj2m/w02Ji6IiIiIiIiIiIiIQim2OTovGoyeCSlqhlUKEnqaTUhpwzizKobMfxKuTazTajzBaH7K2MR9P87dWJuo6pmgrUXkvzWOtfpw/MQJffr+uvehVs2a+l8h8811gomJCyIiIiLym69mdUKxjIiIwovXaAo1xhgVHLEYsXUB2i3v6p5U0JMNXbG83QKjCSltmAxvCQ5POzEpvbm+zYhYyU+470fm6UmLdcY6MixotwJj/No3UXgxcUFEREREREREREQUcjHoMUcSCJOBwWby4gjSMQSv9YjR1xCx3YcAy7/xo2ZEbQzpbrY35cC6RZ3R17IfkXJ4P7BosLPGRddJO7Er/YhaSpS1lrEt9EGahxLbtv+AXbt363+FzDfXCSYmLoiIiIiIiIiIiIhyTSxGTO6MReuc1S5yLuUw9tWqDLtukmsNcdXC0Ae9KgZRYO695x7977Vr13Dq1I/6X2HODzYmLoiIiIiIiIiIiIhCyTHO0jyUqgmhuxeVMcmt+SbHvElAu0aI0f6Vq7YTy79Ry1K+wfJdxmgmMY3QzmM/IqZcVeyaNA9BTJFQAZVx6LD+93clSyI6qrL+V5jzg42JCyIiIiIiIiIiIqJQiu2OyjNdHWd3Xd4WC/SaD9J81GRUm2T0fSHDYEzGHNXkk95slLlsTDqq1dJn28i8Hz1REjsCC4bsx2A1zzmfKAA3btzALbfcjCJFiqBataooX768/lemZb4sDzYmLoiIiIiIiHKBrw5os7uMiIiI8gqzfws1zOmhzTFJx92WZdamnGJ6YI5zmxEYMedjGDkN2Z85bnLfj7mbmB4fu/ZtmU/kr0KFCqFqlSpo2qQxbr75Zn2e/JVpmS/Lg42JCyIiIiIiojyKSQ0iys98XePywzIiorxGalhYeU4HExMXREREREREREREREQUMQpdOH8u+A1QEeWC9LRUVI6KVlMGu3mhJo9Zp249NUWUu3bt2oVatbw2cEkUUow/CifGH4UT44/CifFH4cT4o9x28cJ5NWYIdbnPrp07UKt2HTVFRMEWyHuMNS6IiIiIiIiIiIiIiChiMHFBREREREREREREREQRg4kLIiIiIiIiIiIiIiKKGExcEBERERERERERERFRxCjyt1deGa3GifKUs2fOoGTJ36kpg928UJPHLHN3WTWV2dWDa/DJpyuxaedhXC8ThXtuK6LP37lsJhIdW7F1qwzJuFy2Nir8Vl9k4xjWz1+GQ6W0dS6ux/xlh1CqdgV4Xd1q5zLM/PYK6le5S80Ioh+3IvHTpVi3ZT/OlIhG1O9u0mcfWz8f87/cpJ7bVhwvWh85e/idWDbzW1ypXwUheBZ52qlTp3DXXV7OyjEtVuZ/iU3qdbC+Fj9uTcSnS9dhy/4zKBEdBfXS2ZLXc9mhUqhd4aIrDv0KPkvc+rW+/9zfP9qQfBll5T1x9SDWfPIpVm7aiv3nS6FapTtgvOOySc5hIO+3AsZn/GmccaZd/3BvNZS9VeZexfFvl2LRMs/59iIx/oR5bc9wu77JtSoRDs+4VEuzw/X8GYGesoo/r59FV4/j26WLsGzdFhghWBbeQzAyP3+d3y227sf5UtVQ6Q7rlS4ZKz9ejow77tPmq1nZxPjzLtvx54V8rn17RdYJ8DtPiD+njOv4Nlz0+T3VT6H8TlrAZBV/Bj+vBZbXxRWHaplPofycvYzUVQuxaPUm7Tp9HWWi7oH6CZVNof1OUNBkHX8/Ymvip1i67aL79yDze3pG0SyvA5H5/U89L+37w/4zJRAd9Tv4+AnlB/7G9devv15RY4ZQl/ucOnlSi/EyaoqIgi2Q9xhrXBCF0rm1iJ/8Fc5WfgAPlDyAeVMXal9PDD9lbMGpW6IRHS1Dedzpo+AOuIjje/bg+EVt9NY7Ub78nT4KWZKxcHR/TF+rJkuURXTZEmoiAGuno//ohdrevNEe558fY2+xOnig2hVsmPIBVp0zllw8vgcpV0qr5xaN7Dy8uxIoG11W+58CcvE49qRcQWn9dbgFp7ak47zMT16If368F8XqPIBqVzZgygeroF46W/J67jGCD3eWzyJW3eLGj/VtrcX0/qOx0Hvwub1/Sl9JwfcnftHfE1vnTsWSk+XwwANlcHLJDCw033DZleX7jbw69gVmf7QdRSTObmzHR/9RcZaciOnzDqDkA2r+7C+0n5jeRWL8Aesx+/012LVzCzJ+UrN0PyFjyyncoq590UGInVvvLI/ygT8J0nj7LEpOnI55B0pq14lquLH9I8z+wmcERuDn71bMnboEJ8tp3y3KnMSSGa7vFuLcqi+w+HgJRFdUM3KA8Zd9gX4Xks8143qS9XeetdP7Y7R5kcru55T2XWB0/+naFc+HtM8Qn7gV+7ao90BOZfc9Qdni97XgpwxsUR9mJcpmEatB+Zz1uFbauLppLqau+xnVtO8KJdL+jak5/0KXzWOl7Ej7LB6JW/dhy57j2qeoy/rZ72PNrp3OePMlEr//JS/8Jz7eWwx1tO8PVzZMwQfmj99s429cIsqbrl69qsYMntPBxMQFUSidPIXjd9RH69b34/6O9yPmxyM4dFIt05Ss0Bj31WyAh+KaoprNN5arx3di+cKFWL3tJ9hfBq7i+M7VWDhvIVas34bDl7VZh47g+C/AmYwN2OfxXerQ90n4dt8+rNP2+fnmVMjqhstI3fw55s37HOt3Htf2eg77Tp4BfjmO3d8fUut4OoZTx6qj8eONcH/zpqhZKgNHUtUizS13V0ODmvehcVwc6pVXM50O4fsk1/HJcW3QJ2T+t9i3bx0WLvwcm1NdR+iinrMs37kTGzbs0wtDXfvQJ5Ck5ovLqZvxuZxH/bkVIJXa4NnBPdFeew0eKvYrTpStjwa1tfnHTuFY9cZ4vNH9aN60JkplHIHlpTNcPY6dyxdi4ept+MnLSZP4XL1wHhauWI9tevD5iJtz+7TXaif2bVuuvXarsfO4a6eu/WyGvOTn9p3EGfyC47u/1yLCXsPHX0O/LnGIi4tBofMXUOf+FtqX/quIafsSXnmmHe6/vyPuj/kRZz1/F7nFhiUOfRyfi/E+0Zfv/BZJ+nPUnvOGJJhP99y+DWq+sMSqbSznc3c8iCdG/B+6mnH201nI5e8CyiG2x5/Q8X41/9AJHDa2cInw+AMeRK8xPXC/7R2sJVGh8X2o2eAhxDWtlunHqLdrlcTOhp37sE1/3jthH4Kp2Py5sXzntyru5LklmcfqHo/W9W33VwBk/iy6AJSLRY8/adeI+5ujac1SOHQiUwTqcRGxn79XY9D2pVfwTDvzu8VZuC51yVi5Lg31WrRFpo9eDeMvd/n+LqTRzpERE/tw5Zqa50H/DjNvHj5P2ox957UTqZ1zI0R2u8614v11tMSrir9DR45rV7ozyLB8X8qkfAe8NLqVbSzpvH2myvxv92HfOu04PjeurZnIdX61sXznTu24jQ29fD8Uls/gghpQAfF9LdDPp3p99nkPPu09PA/zPk/C5n3nfV+fAvic9XWtNB04koE76jRHc+27wqP1q+PHjAMeNzl4ixW5Dm3Azn3bjGu4l+/+rt8GO/Gtuoa5fYdzu7ZZ1y9gvyWyqXyHlzC6VebIe7DXGPSw//JkiPDvf8dOHUP1xo+jkfr+kGH98Su8fiaG4jduAf+dQURhcf36dezZsxebvtmMK1eMmlDyV6ZlviwPNiYuiEKpUi3UKbINq7Qv/CsSNuFIvYZoaKkHuuOTEZgw8VW89PfF6g4Rq62Y+/Ys7Lp6Gy59+wXWm9/WT+7El1/u1AsADy2ZjDfmp6JomaI4881yLN5g8zUr/RvM+yZdjc7DR/9eiZNFgYzPp2DqEln/KvYufBtTPj+O4iUv4ZvP/ouvfd186lQTNesdwaaEFUj6fBW2FWmCB+uoRZpTq6djzKTXMXToTKxX37Vc0vHNvC+xUyVx5Li+1Cdk/kf498qTKIoMfD5lKvRD1Od/o/2v2ToXb8/ahEvac9g+fxpmq3Ph2oc+gXlqPnZ+gr9PXYYTRYsidf4bmGzssGC46XaUKXM7btJe443bvkOZ+g+iisyvWRP1jmxCwookfL5qG4o0eRCWl063de7bmLXrKm679C2+cAUfdn6pXrdDSzD5jflILVoGRc98g+WLN9h8ybesL3E7exYW/nAVRS9twqy3E7BFfjv8uBbxWpx/f7Ukih5agU+X7MTP+ra+FSt1D0oV00aSN2PriQa4v4lU1L4Jt5fR5v+q/WhYMRtfZzwgT9WdNTascejt+Czvt2NfvKe9TzKAoiexYtYH6n0lz3Ee1FtMW/1L5/vtXNIMjP94G64WvYR100Zilr7DAqRYKdyjxd9x7QfXoi++Q9G6tVBJm/3bKo0Qp5fgadeebTtw8f5auF/fwCXS409i7SavbQPswCcjJmDiqy/h74szX9m9XaskdmbPWogfrhbFpU2z8HbCFu0MGfON9Y/hi/emwAjBFZj1gYo7eW7m9dEtHnfik79PxbITRVE0dT7emLzE6w/x/CzzZ9FvUaWRKkS+uhfbdlzE/bUyRWBkf/7Ktf2eUvh13wasmP01Mh7QPo/VonNrV2Hdza3Qpu55HD2duSCD8Ze7fH8XMs7plz9p5yhtKb7arWZbvvNc3TILI6etw6WSJfFr6mosXbZbFVhZWOLS2+v449p47bvT97hasigOrfgUS3Ze0jfNknah89kMirfPVJn/0b+x0gh4TJmqXn/Le0K/zm+6pH3f247502arOLPsQ6Ys8brzk79j6rITKFo0FfPfmKy+H5I3WV0L9O80X/6knc80LHUFn37O9Zfo6hbMGjkN6y6VRMlfU7F66TLszhx82fqc9Sf6pIDYzc9X3O7c9x4rckyzMWvhD/r3r02z3kaC8YXOdazHvsB7Uz7XfmkUxckVs/CBer/J+8eMT7drW0H+LZFNN3n5kuRtvinSv//VrFkPRzYlYEXS51i1rQiaWH/8Cq+fiRKvwf2NW+B/Z+RpKUjoWR/165vDk0hIUYvykpQE9OyZoD0bT/L8Mj+nlIQnMc6hJnLMgXH1x2n/U24rXNhII1y7dg379u3HoUOH9L8yfUP7Zy4PJiYuiEKscJELSNu1G3vSjsLaMmPlRt3x1MvjMXHSULQplIT1W9QCU3I60m5thEe6t0XHvj3Q0qYbjXMXz6FIqXsRXa0B2jw7HANblwfK34u7b5HaHPa1OOq0GYguHbtgYJtaSD0sX5O2YdO636BNv2fQsW13vDRyAOLKlkC1u0rKrYKoaXuLoFLkCo4m78HuPRlyD6vTXbV/jz8/NwKTJr6FHtV3Yv06f0piTHXQZmAXdOwyEG1qpUI/RIvk9DTc2qgznuzYEc/0aImsWsXbvv07XH+gPdo3aIC2sdVxePd2jzu2CoBza7FtR0XUaeh6LYtcOYrkPVpcZlhfOVMy0tNuRaNHuqNtx77oYR98OFekFO6NroYGbZ7F8IGtUR5ZxE3ZJnj8yY7o+OTjaHLbAWQc0H47btqEvTUfw4t6nI/EsMdro2y1u1ASt+Bu7ceBj+jT7fxuK87eXweNrb+Dfv5R+wA9jV/VpN9sjs8q+eB+VG/dT3v/dMeLHe5Tc705h83bf0Cllo+hRYMWaN3wt9i2a5taVrCcO5aKYzZNjEhB2sxdtdC3R0OPgrG8E3+ZVUaj7k/h5fETMWloGxRKWg/PS7svZZs8rl/bnny8CW47kAH3EEzGwf3V0bqfdn3s/iKyDMHt2/Hd9QfQvn0DNGgbi+qHd2N7Abv4+f4s+hFr42diVy0txhp6FKTkhc9fzc8/HsKh09Yr3SE41u9F9WaxKL/lE4z5JJDoY/wFW9bfhdQ57d0Rbbu/hA6edxBofj5/HpdvuwuVq9TBQ12H4KXudVGiRDUYIVLTthZH5tfxGDZt2ouaj72I7m07ou/IYXi8dnEtXO/WrnQlUcGmZlhQ1GmDgV06osvANqiVelgV5JnUdb7zk+jY8RntOp/ltzls/+46HmjfHg0atEVs9cPYXdACKiBZXwuM7zS9jWuPffDh/OXbcFflKqjzUFcMeak76pYIzuds8SyulTlXFk0el9h6Eo83uQ0HMn+hw/7qrdFPi8/uL3ZA1pcz/pbIHXnh+18RXDmajD2798D2J5RPwfyNy98ZeV9tDFmg+sRb0BbLu4axEN4xDvWDl1GgAqBcuXv1vz+dOYPUtHT9ryh3rzE/2Ji4IAqlzeuw8tZH8OrwgRg08inUPbASSXuNReXrxeGBilJYUh53lLyMX+xqeBYu7LNj4dqPPo2Od+/Hf999F38f+oLt3b1Zk8cuiTt8l49klrYOjtS6eGr0IAwcOgyP/PZLrFpv3OlRolpTNKt1pzZ2E0qVuAM/XwlGw8guhQurs1KkcJYXsXMXzuB/R77HsmXL8OWBm3FfRe2LbQFzbN132FetAZqr7/9p6xxIrfsURg8aiKHDHsFvv1wF9dJZaOfWd/Dh6Y53Y/9/38W7fx+KF2xrDWXt4pWfcUeJUr7v6PRqC77dBDR+oKGaVso2Q7e+L6F7Pe2H+7o0NTM4ihQ2jvQmnydHnMT5szfjbPKXeux9e+Fe1L5LqogUPLXb98XAv/4eJVauw2Y17+rehZj2ySk06f5HVLd98fNC/Nkpj3pxD8C4tN+Bkpd/0ZtkCZ4iMELwJt/nR5y7gDP/O4Lvtfhb9uUB3HxfRe0HecHi/bNIajpMwyenmqD7H6vbv/6R/PmrlG3WDX1f6o56hxyQS93VTV9h9cXGeKhFSEoCNYy/QPj3Xcg8p/ZKtOiKp+pfgWPWu5g06iUMnbk+c42LLF3ElZ/vQIlSPh4oLFzX+SJZ3p13DhfO/A9HvtfiadmXOHDzfSiAX+f85u+1wPxOY6tEC3R9qj6uOGbh3Umj8JJtraGsZfdztsRvQ/wCa78hjMuZ72u94G+J3BTJ3//SsM6RirpPjcaggUMx7JHf4stV6/VabcHi/29c/s7IV2IaoV2t/TicF2tdUIF05MhR/W+RIkVQuvSd+l9x9Gho0vpMXBCF2tmzOKZXST2Ds7/chN8UlZl78Nn4t/DZXm3B1b04cbwYbvH8rnHbzbj17E84KaVel0/ip7PGbKsf9xxFiZYD8bfx4/Fap2gcPCYXCu1HcFbfwN2URemye7FjlbTZehXHD6u2W7WLz2/05T78chZnftT+Xj2mPc3foKhe/fcS1s4chZlrZcGPOHL8LG69+TZZ26IEflvyF/x8QZ7/cVz0s8UCcdvNt+LUoQPanrVjPS4tkRrkB84vP18wnoNlh1XKRePKbdXwx7590fePcYhr3Ux7xgXJIWzZcRDVaj3gdkflL2fPaOdQXrqzOKsFpXvN7dtw861n8ZMRfDhpH3w4WqIlBv5tPMa/1gnRB48Zd5/5EzcWlUrfjVM7vsNO/aEO47AclBbDRfzYydVNO7CteB3Uln47dPuxeOLfMW+r7OxHHDpyGjff5PHGKvFblPzlZxihd9Gv5gpMxbQ36aFD27UIu4xU7f1suAu336FF/c9y4Jdx7qIZkVVQoZL2EXvPQ+ilxV6vNnFo08Z5oAXCpfUf4dXpX+ltrF/dfQRHtSDTL39SPX/mRpR+/Fl0sc1a5I34s7XnM4x/6zMYl/YTOF7sFnhe2r1dq7ImnxOHcGi7tvPLqfKRYrjrdtyhRbIRgufgCsFyiL5yG6r9Ubv29f0j4uJao1mBuvh5/yzSa/tsLI3Hn+1inziL9M/f/Ysx8e/zYFzqDuHI6Zshl7pDP57FLde24d/Dh2P44l3ArsX4eKOxiYnxl1v8+S4k5/QMfkqXC4bcraZmW1xNTcPlWj0wdOx4vPF0Y9ykxYg0EVIkoItUJZS++xR2fLdTu6JqL9Phw/rnvxSMBRSudrL9mSrX+VM4dEA7Eu174PEzzm9zXr4fVkG56Cu4rdoftXjqiz/GxaF1wQqogPhzLZDvNGd+StevBen2wYe0y7XQY+hYjH/jaTS+6TCOG8EXlM/ZrK6Vd5X4Hc4eP6LH6iHtO2uxShW0KLDK/m8J7cmj2KFDMC5nP8J1OdO/0OmPefncRedvDP6WyC154fvfLzhr/PjFMe03/m+KejSn5+0z0Q+B/cbl74x8S6/9kGA0JWU2wyTzbJuVUs0lOZdLrQ1LM1RuzTh5NE9l1rCQbQcvAhYN1uab+3Zf11oZwzHOMv8bNTObrPvq6XxS8pzs5htNTbnme/RPJ81WObdz1V6RxxiXYCzT92U9l7bNXJEvaxxr9eH4iRP69P1170OtmjX1v0Lmm+sEExMXRKHU7E/oGbUL/3q+P/q/9l9cjH0cHaJkQQ00b1oSW/71PPo/PxVb7u2MDh43jaNsczSrnYz/vPwCBo1YanM3yTGkp27Foje0ffTvj1eWXkG7lk20+VGoUv0u7EgYjYV+3YJSBZ26P4wrK17H8/2fxxszv8Bm+QZYOwY1T3+Jt6drF53khRg9eqH7MUR1wOMPX8Gy17Tn9vy/8H25bvhTM1lQHE0eqofTi17TjutVLDwXi05tPb/e10Xb9tHYEa8d+0vv+tmnhqFs2054+OdEvNp/EMZ/sd/5pa5u2/aI3hGvPYeX8K5lh7J+7MX/4jXtHPUfE48l6/1rWzffUH1APGi56y6qw+N4+Moy/Zw8/6/vUa7bn6C/dE5l0bxZbST/52W8MGgEltrE0bH0VGxd9IZ2vrXz+spSXGnXEhJ9bnHjh5taPKa9R/bi/UHafl5+Fwv016c2YmqexpdvT8daLeoWjraLZdVvR6Nm2tqmqmjWohz2fjRIi73X8NX1P2SOvbpt0T56B+K19+RL734dUFX/hh06o9L2GdpzHor4b0+ruSXQsl07XFn6KvoPfAWLdrl+ocj65b7/l36OBk3+D1brb6yCo/iDTdDk56/wunaun5+ZjGrdO0Auc8mO1fj+wgV8n6CdM4mf/vI6W+WF+POiRnM0LblFv+Y/P3UL7u1sPGcrb9eqrDVEh86VsH2Gdt0cGg9XCLZEu3ZXsPTV/hj4yiI4Q7BsW3SKvYj/yjW6/xjEL1kPf5u1zx+8fRYlw7H6e1y48D0StHOmx6BnvET652/VZmhRbi8+krh97Stc/0MnyFOL6vASxo8fbwyP1gJqPYon9TeGC+Mvt/jzXaghmsXdwKrxL+GF4R9gs3lOnS7h4JHdWDP1ZT3Onv9gFyq3itWiRkKkJk5/+Tb8u9TdhBaP9UTU3vcxSNvPy+8uwHp5MaKqoPpdO5Cgx9daTM90LfZDtj9Ty6Jtp4fxc6L2OTBoPL7Y7/w25+X7oawfi4v/lfPZH2PilxjPgWz5cy1o2CwON1aNx0svDMcHmYMPlw4ewe41U/GyXCOf/wC7KrdCrBF8Qficdb9Wrp3eP1Ms69/fzy3Uvu/3x/ivb0bbZpk+TbP9W0L7gobOlbZjhha3Q+O/hety1g7trizVHnMgXlm0y/kbo8D/lsg1kf79LwodHtc+s5fJdeh5/Ov7cuhm/Ph18faZ6IdAf+MW9N8Z+YpjHiahLRrFqOlFK4DXtmLrnB6I0RMLwGRpUsq2WalFGLyuub5swZD9GFx/rLHt1gUYou11nr6iJCK6Ynm7BcY+tGEyBhsF+bEjsHVyZ6DzZG3+x+gRI+ua+5BhMjDYeDxJHAzeNwQL1D6ap0/CLtm9rZ2Y1FUlCNTQddJOtcxIKKxrbj7GArRbPlYlTWIxQu1fHrvapHnGc9XOQ9dJVZ3n4TWs0J65IkmLMXLIajv9kC1naLmxTDudSJi539VEl5xftQ5FtkIXzp+7ocaJ8pT0tFRUjopWUwa7eaEmj1mnbj01lU8lf4F5B2qiS5uKAVf1Dikp0EkAeozuov+QL4h27dqFWrW0H6X5VjK+mHcANbu0MZrfiRRrp6P/7pp4f0ALNaNgYvyFjxT07K75PgpyCOb/+NNE6Ocv4y+/xd96fJZQDM171Ic0bpXbkheORgJ6YHSXgvptLnD5Kf7Wf5aAYs17oH44gk9P2u1GzfcHoGB/owsMv/+FGH/jZnLxwvn/Z+9/YOI68zzR+2u7t3v23Xd7pzsZO25wYxMoTwV7ZpehN40qXtIX+nZmO/DqOoxlYRGQOtLeTAshLsnglWyiFJaumZiLUKl7d6S0RIVrhHyJdVW433W/A2/ituvFma7m7oxN17gghWnDeOwZu4dEGt2o1Z33/J7nOX+qqOKfyxS4vp/ohHOec+qcU+VDFfX8zu/3mDntcff7TN+8gYpDGcb/yQkdSOhzev2Pon/qFGpkVgIVEog4pZZUsGCk+D2YRcXu9D9VI9kJV3Eky2NTtmtewHFvR73d2W8HR5zHyT473KCAIuNxvIfikVexcFyCG6bZuw/TpNnBD8+2Fve5pD9/7Wi/nKvezg1y6GM//1H66+B57iq4k3rGqOjEBeu8Fp3XQDfLa9Jx0fN604ZM/+IX+Id/+EdIiaivfvUrePjwV2pwbikbJRkYa7Ge3zFmXBDR6sr/GMe3WtCCCkQ5/vj41us0pkLB64/yjJ+/tCkC+J/yFLQgCvxP+QpaEGXDv//ocfMMzr3lOtGlY98+N5l0JsbCLbM6J7zPX09O0GLue6btAjpNfHRxzs3WyEhljHj2lyWbouaUrD+CqywV9UiKvvY19VOCFRLAkJ/Cbs81Bi6IaPva/228/vq3sd8sEm2ab/wJ3vqT9LIFRJvnG3/yFngJUr7w+qNc2v/t1/H6t/nXHOXDN/Anb/3JsrKORHnF77hklBX7cNGUalJmz+Pdi0dxZF2RjiIcQB/e9owXcWWkD3jp+Qyd+9a2FRfxrmdbrQzPvwT06dpTiuwje6molZSh+ODNlH3ZJEBRcaBIL8x+hMvmADVHjuLiu26gYfb8j9yskKIDqLj4I8/YH6uRclRSSusn+IiRiw355R09xshXv/IVPFt6QP0UdnuuMXBBRNvXv/gy9uz5Mu9Epc33L5/C155KH3aZaPP8y6e+Bl6ClC+8/iiX/sWX92DPl/nXHOXDv8RTX3vK+j/RFsLvuGSrOWXGrqjUY0Uc+wleurDeDI0ynBiS8SKOOeNNdKAfQ3Ydp5ojOOoMzr18WzszoexENzpvyXa6/eqBTmy0YFzNqQsp+7IH1K453gnYx357DgftA1ivQ//BPhwz27+N7+CoWWWdGIb6fSljangH9XZJiSp7GxnzozullBWtzeeff47f+Z0vqTJRBw/6sG/fPvVTlqVd1ucax7igbSvbGBf5sPMLXzRzRERERERERESUCyVf32fmtO09xgXR9ifloSRYYUtfXs16fscYuKBtK1vgYtUPsOSP8edXn8KftXzTNGQ2GX4Tt3zvoLXaNGQhx3x69zNmiQpTFAP1MVSNtSOgFgdQP1qEgf5GlNrLsSqM1d9FR/siGu3tkqPoCAFt9nZKEqMd7YgGBtDf6Lba7YuNY2hXD9YePnz45A9OS2swgWBVF9AbQzeCqIoGEOuuNavM8vEFNPcAp4da4JP2RDh1WZH9DKJkeAgtVmMi3IwenMaQLGSwbHBGOdZgCYa9+0w/jn0+1vnJ/ptCcavRj4YGYKbkNFrnm9AVkQ2luc3sSz8/3exHm5wfrP02hSCPth8fiegloMF6KbpRK8d2tjFtal9RazFibe9tp+2mIAbnpsfA8z4n7yOrvC9OBKusz2TrvTXtTYLXH+XT8utPf7YFeoEu+3PYez1n+sxP+zxO/7xf7W8AKly8/mg9lpaWzNzG7dq5w8xpDFwQbW8cnJtoJfce4N6N99H5xpvWdA6XkqY9xXXcunEYB1cJWhApybu4XVaEvWYxGhtHWaDSCUYk797WP6eimK2r0kELcXdx+YBQySlEZ+vQaActJOhRX29NEuFIDVoQOSaiiPjbcDxD73tiYQb+ktS7lJQ784iXF6svkPLlsKqqypqsL50xHbTQm8QRDzXpdc1hJHRzdrXH0YYQmqztgxOmzVeNOoxj0jx4IhpBQ8A6UetLbE+oHL2xGGKxVsAEHWq7Y+htABp6rXb1BTeBcLMOysRk295yhHqsc/G1YGi4DX4Jbljn3N09hOE2P/xtw9Z2EoiwHtczj1a1f3mc9WXaOakIZkpkOzlWBIPhVZ8ZEW1z2d7nUnjeF7UEFmb8yPQWSrQlmc/hEfvjjmgz8fojIqIcY+CCCk/1q+g7946eXtmND374HibNKky+ZwIaCRw89yoYt6A1kQDE/r0mUJGExCn273WzJe4uzqKsaK/z06YCGs7jRBQD7VEEBkxGhgi0Y2xszJoasdjegdGMgTYqaHIXm/Tr23ex1QbQEOkyHXRVKqOhvNhaowIIOqig1nVFnICGr2VId+4Pl2CwKgj7+6YEEVS7dPCXr+WLqA8tQ7K9RAmsY6hAgQ/VdcC4ilxMIBppgMQtpIMQbcdNpkMtjrf51dxydzBvfQ12gjLqS7EbCMnOelw8Yp2G+3wxs2CCLw1oNb2WtYEGxOfvqHkienJlfJ9b4X1Rk/eRcshbKNH2YH0OtzYgMriGmw2Ico7XHxER5RYDF1TYql/At/bcxwO7M9gJavhw6403MehENIiykwCENyAhA2C5i1HExssQqNThCTegkcRUdBZ1VSZEIWWj6kdRNNCPlApRjr0o4uBRlE7S7Jskq8Bb6qgW3SbYIAGEBus/FShwggoyDaPN70dddVpvnK8Y5Wb20cg5WMeODEKSGXw6coGEZIY0BNS5SibImiQWsMYtU8njVDaG/ZytyVuigIgKU8r73Crvi+p9pARMuKBtxb7rfZXvMVkzMokeBa8/IiLKIQYuiDL6JlpfOYwbietmmSgbHYDwZlgAs1i8q+eSo6MYr2t0ghG375ooWXQMYbSgXuIWUg5KjX3hDVrImBaeDAvZfnY/Ug5DBU2VPZE6wlnHZ7BLLC1fPxFssq7L02jxSU1iN8MiER5EJFMn3UQQXXamxArknJxqTCrgYO5UNuWiegZNmSjVZIIZamkCI2qsiwzMHdFOtsfEiLVUh/SYyzLpjyOiArW29zn3fdE0WBKT42mlo4i2A3PXe8ge48my7DNRf+6qjEyinOL1R0REucPABRW2yWv4AH48J53Bk9fdklFI4tK1GzjsW3kAbyps0QEZe6Id4Vlg/Kw1PxC1WkvR2Finl+vr0R4NYMAMTBGobwHC7XrMirPASTUodxQDZ8etteM4q8aysKaOUesKtPZjrV9sN22yvT2oN5EaH8L6Ohj3lDhREQPpoDPLVU2Yb7UHlJUght1ehcGSYTPYYS26VdkU3d40XmcGw07dXo/7vfoA1r6WVl0iSh7TFEK5EzTR5aLicU/ww9eC1nL7/KMo8ZSKkvJNEdmPGlfD+gJ8ug0z9n67ZtB2OnPmhAqGqDE5pJMy7XHW1MyxLIgK0Nre59z3RYtks8m28j6rSu+5gQ+ibUHuek+pwJj+mdiFmbbhlEHnnTGtrMn+vMzURrQqXn9ERJQjOz79ZOlzM0+0rcwlP8aB0mfNkpapLV3y0jn84MN7ZukwGu2xLJI/xp//8EPYa/a8+Dr+7OXVb2+XYz69+xmzRLS5Hj58iIqKCrNEtLmmp6fXfP1JNkbTfCti3m+pRI9gPdcfUa7x+qN84vVH+cTrj9ZjaWnJzG3crp07zJy2ln6fRzF98wYqDh02S0SUa+v5HWPGBRWc0pffcAfn9g7AXfpd/JnT/s6aghZERLQWCUyOy1jcDFoQERERERER0eoYuCAiIqLHzIeWoaGU2vFERERERERERNkwcEFERERERERERERERFsGAxdEREREREREREREm2H2PJorK1FppjNX7OZX0Xx+Vi9sFVfOoNI+QccVnPGcvzudsdYQ5Q4DF0RERERERERERESPmQQnKo/N4bWpKUyZ6cjCeWyxcMUqanDKnPuFzkOo6Lxgnsspaw1R7uz49JOlz8080bYyl/wYB0qfNUuatOXDzi980cwREREREREREVFxcbGZ27hdO3eYOS1TX1AuTd+8gYpDh81SrkmmwlUcydLBL0GNt9GNoRNlpmULkIyLq0cwdSpzSGJLnjNtaev5HWPggratbIGLx/kBlokc8+ndz5glos318OFDVFRUmCWizTU9Pc3rj/KG1x/lE68/yidef5RPvP5oPZaWlszcxj1RgYs1BQG+h5cud6Bv2mqo6MSFoROQkMCVM5XouKg2W9Z+9Ug/0NEBtfpov7t/KUl1rA+yK3lM58E+zB2Zgl4tQRTzGBxC54X3oGMPszjffEwfX9o7feibW3vgQs7n3QMX3ECGPOd3D1jnW4wRCdqoU9VHlUwNZzvvueIo+pm98cRaz+8YS0URERERERERERERPUazCwlUHCgyS5lN9/0IeEvKLl1AJ/owYgaNqDnllpbqP+i2i4sdksUh6/px9OKPoIfJuIIzx/pwsN887i3gsh34cDI/zLoL38Hlt3W5qitnjqHvYL85Vrf3QWtSc7zTesxHTumrK1cv4uhrOshinSk6JHBjzvVgX1CfqwQt3panbc5HghvLxtWgQsTABREREREREREREdFjVFbsw/TcolnKrKKz22Q+lOH5lw7h1oIJAXgG9JaEBafdcrTfzk6owZGjN6EOMbuAWxWdOG6nLZSdwGtHzbyskyCCPai2ZDpMz2ERs1i4dRT9TnZFGU44D1qjsufxEn6Cj9TpXcHVi0dxxEmd8O67BjrGYW24OGcdvw/H7PPRT3CbjftBjwMDF0RERERERERERESPU9EBVFy8inXnEqgySu6A3jIg9qokGHCw2GQ6ZCDlpuwMBzVJ8GMRc7pW0yOQYIdPBySuXMWtzuNrK/kkJa6852NKYVFhY+CCiIiIiIiIiIiINs3NmzfR3d2tfhYMlfVwER3NuiyTNovzZ7zLGUgQouIAdJGpWXx0eQ2vWc0RT9koy+x5vGtXfSorxsHp1HJTmmRsXMS77oNw3nnQOljHPnj5I5y/msBLz3vDDxdx1TnmFYz0Qa9XAR3PuRIZDFwQERERERERERHRppBgxdDQED755BP1s5CCFzJWxYWXfuKWRaoMAsdXyS6oOa7Gu9CPCWLu4BoyLlCDU/0+9B0zx3kbeMmp+mStu9CJWx32OViTGVOi5pSMPXHMtFvn5j5oHWpw5GCfdcbfM2WvbNa+rtrH7AD6zYDgZScw5D1Xa2pmFIMsOz79ZOlzM0+0rcwlP8aB0mfNkpapbbnrGHzjfdwwS9jzIr7/5ndRahaVyffQ+T7QeO5VVJumbOSYT+9+xiwReUQHUH92HGUtA+hvNFdYchQd7WH3boq6kxhrD1gzUQzUn8W4bvU8JrXdWoGB/kbnen348CEqKirMEhWeCQSruhCRWX8bhoda4EtvRwN6Y92oVfMJhJubEIrLvB9tw0NoUQ/I3J4IN6NJNzr8bcMY0g/C9PR0xutvIliFLn1wi/c4j486JnoR69bPlJ582a4/ovXJ9r7ofR+1pLzH8vqj/Frx83cm9VolyjW+/9F6LC0tmTmXHbT47LPPTAvwpS99Cc3NzTh0aHmH/K6dO8yctrZ+n42bvnkDFYcOm6UnySzONweBt0yw4DG7cqYSV49MwRnSwhkQ3B6PgwrVen7HmHFBhSf5APclWHHuHfTJlB60QBKXrjlhDaINiQ7Uoz5WhBbrD4L9e90rLDkVBVoGMDY2picVtJDtzwInTdtAi9UwZV2JsiKGcQlu2Nt7ghZEE8EoArEYYrFhtCGEkQnVqjrb0CvtMQy3zWAwnLDadefceN2wao/1liOkH2Dtpwc4rbfvbYhjfFK2B3wtQ3pbNfWiAX7UVa/cFeIEEOzHDddh3BxnZXJ+QevsN6a22zoWgxZEtE7Z3v8wEUWkwfNexo5g2tLks78K0ZI265OaaLPJ33DNUH9uEq0iPWjx5S9/Wf2U5ULLvNh0V0bQh+8gpXLT46LKUnkH5SbaGAYuqDDtfip75+/kNfzC/yKexPg6bZ5AuwQl9mJxtg5VOjah3F2cTQlkaEncvV2Gor1mSYIbgUp1jSbv3kaZvYIoTW23nUlxB/N2YoTpbLP78H3F5YjP37G+U05iHG04bac+7CuBf2bB+qop+3HvMI5GMgcnJoJdmGk7vXLmRCKMQbnT0xtA8LVgyCxLUCMYDKKqqgrN5tutZHXIclVVE0IowT7VKh0wQWtbaZfJDmjoL8bBoP0Y90uy7Mfep/c4MgXtaIh1fs2mLWW/Ke2rH4uInhzZ3v8SCzPwl+h3JKKtrxbdsRi6V0sVJ8o5fWNMKB5HqMn6e8n6o0v9HebcicKgBrnSgxaSXSF/s9tZFgxe5JpkWLill1Rlpk0Y8FoyLSqP/QQvXWBmBT06Bi6o8Nx7gHs33kfnG29a0zlcUre1265j8H3gyMtPmWWiR5C8i9tlRXDDDhKgAMbP1qO+3poGoqa9FI2N+xFu1+3ti41OaSkJdMyG2/X2HaM6C4MonQQr/G04niHhIGvn2515xMuL1R3EbvBAMjgylHWaCKrSE07QIxvPPrOJzJRgOBbT5aas/TaN16nl4TbJ5wihx/lmG8FMic4O6W2ImKwREbfWtKr24TY4WSPp7OPEehsQGQyrAM3ESAjlJhPFakZDrwR+rC/UPfNolW3V9kCX8217bcciou0r2/vfnfk44qEmva5Zv4cQEVE6H1qGhtHml1J71t9R3bWoDVh/e0XN30zqxpk6rJKwSwUiPWjx2muvqXn5mR68oFwow4mhKUxN2dPmBBJkDI+pqUzlqGpwimWiaJ0YuKDCU/2qLhEl0yu78cEP38OkWTUZfh94ZfVxLYjW5O4iZvfv9WT3lKKx35R8GhtAy+1RjKpIRBKjo+NqvIuTddbi7btOgEJlbpgyUSf3hzFmxzqIbJItIJWh7DImtQE0RLpMR1yVGqOivNha46u2vjaG0GTaq7oiTkDDKQk1XIJBJ+PANoFg1wzaTq9eJkWCJI4JN+PB2+nX0OruR7bXyxMYmQ9gqLVBZ4coDWg1PYjyBdhtt74YmwiNr7rOyRpJ5xxHXo/4POxHLyfZKhF0eV4XOPtc27GIaPvK9v6nys+ZgGZvuV2Kj4iIVqX+Fo2q99PEpHzHqV71b0gqDJmCFrb04AURkWDgggpb9Qv41p77eJAEkpfO4epTr6OVUQvKkbWWeYoOtGOxUUpLBRBoH0ALGKCgNZLgQJNkC9glo4QuF6E73GRcigYE1Eq5I85u13fGLSsJ5StGuZm1JcKDiDS0rlwiykjp3K/t1scazl5vW+5oFhPBQZRkShfJsX0lfkS6dIBCMkjUIRMLmJFBd53XzJpYy56o8GR4/yMioo2oRaAhguhEAjpuwb+qyJUpaGHzBi+IiAQDF0TKdfz0w3u49+F/MSWk3scN67/RZaWkiNYqialopvEstORoCGEEUFmaOr4FcBeLs95lIzqAs+Op42VQYVPlTQalHJI3aOElNYUlFWP5+omgDNIt41XosSTsG4lVkMJvjzNhSYTREyq3drHGoIKd1eEWNl6RKiXQJYN568DIRDSCBh1leQzky7P1XNKDE+aceTc1UaFZ5f3PJqXyInYAmIiI1kL9jTfYwzJRlGKloIWNwQsi8mLgggrb5DV8AD+eK/0mWu3yUWp6BYet/xrPvYGXM/c7E2UVHZCxKtoRnjXjWaixLKIYkHEqzNQeDWCgvxGl1n+VATjjW9TXnwVO9qOxNInRDnd71TzWDsYtSFEBhTgQ95R+UsEC6Ygzy1VNmG+NmUG6JYhht1dhsGRYjzEh2RmqPIpuV+NNONkGMvaDjAmRLTCSic7q6IVbqqqqKZS9REBttxprAqa0VZf1yLXGSNbPh+JyT0koa9KDeVvnfLoNMyYTw20noidbtve/1PfLKon/Zg0QE20V5vPf+syNm78N+FlGm8eH6jo4g3MrqlSn9bcqy0SRx2pBC9tatyOiJ9+OTz9Z+tzME20rc8mPcaD0WbOkZWpLJyWhfvDhPbMkwYlMY1pcx+AbCRzMuC6VHPPp3c+YJaLN9fDhQ1RUVJglos01PT39iNffBILNCzi+KaWZpFNHBt81HZAyNkgPcJplobatR7/+iDaO1x/lE68/yidef7QeS0tLZm7jdu3cYea0tfT7PIrpmzdQceiwWSKiXFvP7xgzLqjglL78hiezIltgQjIwOEg3EdHjVYvuTQsc1OJ424ybcdEUQrlnoHAiIiIiIiIiWtmvf/1rM6elL+cSAxdERERUEHwtQ+4A3Nb0+MpSERERERERET05fvvb3yIe/1tc/+iv8Nlnn6k2+SnL0i7rc42BCyIiIiIiIiIiIqLHahbnmytRWelOZ66YVVveFZypPGP9P4srZ1KeV+UqT+zKmcf03FPO41WcnzXtK3hs5/KE2blThxF+85vf4NatBO7cuaN+yvLn1n/2+lxi4IKIiIiIiIiIiIjosTuEzgtTmJqypguduNWxQjBgu5BgQQfQL8/JTBcO/AiVzefhxA1km8ccHZAAROW7B3DBOY9u4CNGJHKpuLhI/Xz4q1/h4+Sc+imKi3R7rjFwQURERERERERERLSZyp7HSxUJLKwhK2DruoIzHQl0XjiFGtMiyk68h/6DfRjZrLjB7Hm8e6sTF4ZOoMw0WWeBEye8Z0WPanHx79TPXbt24fd+72n1U/zd391VP3Ntx6efLH1u5om2lbnkxzhQ+qxZ0qQtH3Z+4YtmjoiIiIiIiIiIiouLzdzG7dq5w8xpmfqCcmn65g1UHDpslnJNSkUFgbfewwnpXZ89j+a3rUWns13KMXXgopqXzAy93ez5V/E2voeXLnegbxqo6LyAoeIRVHboLY/2T+GU3T+vsh90u7sP2e+PcMDsT0h2wtUj+nEybz9E7dtsJMc91ndTzVd0duJg3xyOTKUGKJY/B5c+7+6Uc7XPqXhEjt8PdJjne7QfU+6TyPg6qHM+0IlbfX2wGp3zFM6xPG2p5LU/pl4/xXM897WQ4171PEfvsplXpyxndhT9U8exYO+zwg2a6P1lfm7ZXuut7sMrPzVz2h9V/jv863/9r/Hpp5/i51P/l2nVXqz5D2Yus/X8jjFwQdtWtsDF4/wAy0SO+fTuZ8wS0eZ6+PAhKioqzBLR5pqenub1R3nD64/yidcf5ROvP8onXn+0HktLS2Zu4568wIWn89zT2Z3aSW7xBASgAgjSV28HITpw0e4Ml0CFlEeS/Tglmzz7ODaH16zlopSOffdY1owTwNDnZwIri6n70kEMn7tvmxzz6hFP0MHDuy5tO92BL53/dlDADqxkfx0W5THLsio0N/hgGlLo1/3yS26gQLZ/94Bedh+bduxlgQv3ddevh/1vovc/95o3EJThuSF7kGery1fggqWiiIiIiIiIiIiIiB47e4yLfhyd/gk+sstEzS7gFi6iwx5Y+lgfpqfnsGhWV3R2m2yJIhyosPZx3PTQFx2AHUqcXUjgaL/d6W4pO4HXjl7E1StSleo7wOWPoA535SpudR63tpvFwi3gYoc9mLUEVW5izjpo+r7KTnwPR818Cjn+rQW93wwqDmQf+8Ddfw2OHNXHXe11OPpa5k7/ogOHcCtrza1FzKETb3myG2qOd7qvx5odRb+JjJQV+6zF75l/kzIUH1TNjozPrawYB6f7cGwbjgQuwQiZpDyU+O9//TeY/sUv1E8h7fY2ucTABREREREREREREdGmqcGpfh/6vINASAaGZ4DrKefO/xyQ8TQggZJZnH83gZeetzvx7UCKO0nf/OKcLhG1KtUZ7wnAeFy5ehEHizOFGVaxgddBAgnT6w5EbDbr31yez5GrKijTfH5rn20mRV/7mvr5m9/8Bv/wD/+ofgq7PdcYuCAiIiIiIiIiIiLaTDXH0XmrA+oGfHM3/qMMZi2d9xc7zsDZxex5vHvxKI6oXv8ynHjNh8sjI7h80JspcDM1eGLUHDmKi++edwIBs+d/ZMacSFcDSV7oO+Y5rkWVS7rVCTsxZM02+jrIa4n0bIYrOKOWi3DAWve2J1BwZaQPeOn5tOwNyWbRGSrKlatZnvMjqjmFqQsbyfjIv1/eWVA/v/qVr+DZ0gPqp7Dbc42BCyIiIiIiIiIiIqJNJcGEoybYUINTFzpxyynbZE3rLSlUcwoXOhOeMks/wUsXPNkKNUdw8OJFHNSRDKXm1AUVPHGOWWkCENa++g/24ZhpfxvfyVwqylJ24j1MyVjUzj4q0YF+THnHcrCOffSiHOdVrJxosNHXwXoth6aso3qfy1UcUaWdZF0/DvYdc9bJ+S0fGNv+9zCPvyrFoXJIxuuwz03+bd7aXmNdfP755/id3/kSdu3ahYMHfdi3b5/6KcvSLutzjYNz07bFwbmJODg35RcHZ6R84vVH+cTrj/KJ1x/lE68/Wg8Ozk305JHyUBKssKUvr4aDcxOt6DoG33gTnfb0zo+RNGuSl8657dY0OGlWEK0kOoD6+np0jNpXkohiwGqT9vr6AWvJIzmKDmkfcFujA/a27iSrk6Mdy9pTj0OFbQLBqipUqSloLdm87c0IJ0wzEgg32+1VCDoP8LZ792PtKehu3+zuKAtzXHfH1q7DaG4OW0d4vLzn6UybcFwiesLJe1j6+xrRFqU+C/nZR3mwvr8XiYhoO0sPUqwnaLFeDFxQ4Uk+wP09L+L7595Bn0xvfhelZtW9B/dw+BXTbk2t1WYFURYq4BArQksZsH+vfSUlMdoRQ9XYGMbGBqx144iZGIUKRISAQB1QVrRXN1oC7bKtmQZaUIY6VAWA0sZ+t33spNVahkClfRwqbBJsiCIQiyEWG0abP4Ko6leT9i6gV9pjGG4DQiO6w20i2ITxumHVHuttQGRQd24kwiPAab19b0MEg+YLZyLcjC706u31jlKCGpn54Z8Z9ARLspHzTA2SPIrabn3+8rzQYM55qAU+s56IaP0mEGyaR12b9b5Wss+0EW1F+saBaEmb9SlMtMkSYQyu++9FIiKi1TFwQYVp91NOsCLVHjy9x8wSrYEKOLTvxeKsDjRopWjsb4daTE4h6lmnAhH9lcDtbAGIJEZDYew/aR7vER04i9stbWhk3IIUH1qGulErs4lJjMcbEJCFiRGE0IbjaoW1VXG5npEvlZEGtLaYrvx9JU7nhq+lG7o5gYUZ1WSZwEgIaHN3BLOnVZSjtbUcoZ7Md3xKMETfkddknWcJdFegdLgEEVR360mGiAQ1mq1lva2+0TlbFskaTATN46zJuRM17RhDaZkh8hjeYU1U0CaCEgQ+DusNFuXFDIPSVlaL7lgM3bzpivLB14Khbu/fizNYWM/faURERFkwcEGF594D3LvxvikHdQ6XnKo7STy4fw8f/NCUigpfN+1Eq0jexe2yIrj5E57ST9LxO5YehLiLxdn9cBI0PJKjIYT3n0T78qgFzt5uQRujFuThpOX3SMKEDmJMRCPw11U7mQYJE4lITI4j3hDQgQ5xZx5xM+swARAV3JiIIuKvQ7W7I+tr6BrVHkcbQjCJHq6JIJrG6zAck0yQBvitbXqcCEQEMyWSDTJkgihxq6VV3b0n34UngoMoGTZZFcN1GM8SGFlGyryoBBT92N5y7zE9x2iuhrVXTJpV8jo2qEgQERUiCbIOWu9J3bV3MG8HhomIaGXy96L370ciIqJHwMAFFZ7qV51SUH2v7MYHP3wPeiiLUrz8pl0m6nV86/77+HM3qkGU3d1FzO7fm5LF45R+alxEe8eoM46KkiHQoSRHEQrvx8nlUQsMnL2NlrbGLJlCVKic8kit82hS2QI6Y8J7Z/Cd+bgqcWL/tKmARnmxp5SSlEQZR92wDoAsWy+BDr+dIbEaH1pa3VJUNtlnQ6uUb5rAyHwAQ9Y28fk7Zq0nG0Txu9ke6nnFEWoygZqmEOLxediPXJF13taOnIBN7fE2YHzSnJf3GD5U18kqWTOBaIQdlUQFS4Ks860Ykvck1Qm31vc+IqJClkC4x/pb8jRLdRIRUW4wcEGFrfoFfGvPfTxYFp8oxcsvHMa9B/fNMlF2ybu3U8arSLG3CGVm1pEh0CGiY2GgpX5Ziajk6CjG6xpZIoqy85R9ks54Nz4hHfB+1Jnb3tyARgKT43E3o0ANPisZDXa2g+YNdKRncqzKzrrQkWFFgidCZU84AYO10Hc821kTejJlslZhZ5yshU9HLpCQbBNvdgoRFZAEwoMRINLlCZSG0MTScUREK9JjqZ1O+VuSiIjoUTBwQUT0SJKYis66A3MnR9HhybCQYER6kCIaG18e6MhWCiprFgYVNAk0eMZjmBgJIe5kR8RhJzEkwoOINLQ6XyBn7ILD3nEwZCyHpnm0OiWaXE42RPr4GGtisi5C1rmZltqAtdxVhS7oc1p7OaZaBDyDhq+HCkZ4BomU1wrZAjA+XS6qZ5BloogKl4wf5AZJh2Vg7rZhxOz67URElEbGDatS5fVUphoREVGOMHBBhW3yGj6AH88tu5M9iUvXbuCw75tmmWg5PY5FO8KzwPhZa34gKqNvo1/KQ8n4FtZ0FicxZoIOydEO3TYOzIbbUe8EOLKVgso+UDcVOBkEUcpDyd3A1tSFXtOpZoIFXbpdjSdhOttUiaRQk76DWMZ8GNIlm4JdEWttBF1mX/bg1b6WVjQ4dxy7JaTWRbIu3FQQa7kbvQ3WT7NfOe+19gXWdvei3D5/mdZ697P1Wp1um3GeX9dMG05n/VKty0XFWc+eiBTJTpNYJzviaKuzPs/lc87OELLmmzcQ7CfaELkhJm79/eT5O43XHxER5cKOTz9Z+tzME20rc8mPcaD0WbOkZWpLl7x0Dj/48J5ZOozGc6+iWs1fx+Ab7+OGmgf2vPg6/uzlZRGNZeSYT+9+xiwRba6HDx+ioqLCLBFtrunp6XVefxMINi/guAqaED2a9V9/RLnD64/yidcf5ROvP1qPpaUlM7dxu3buMHPaWvp9HsX0zRuoOHTYLBFRrq3nd4yBC9q2Nhq4yDUGLiifGLigfOIXV8onXn+UT7z+KJ94/VE+8fqj9WDggojSred3jKWiiIiIiIiIiIiIiB6rWZxvrkRlpTuduWJWPS6z59HcfN468mNy5QwqV3oSst55vq/i/BpO5MqZTXhdaFtg4IKIiIiIiIiIiIjosTuEzgtTmJqypguduNVxBk9qH70EICrfPYAL8lzV1A18xIgErR0DF0RERERERERERESbqex5vFSRwMJjS4fIo9nzePdWJy4MnUCZabKeME6cqDHzRKtj4IKIiIiIiIiIiIhoM81+hMv4Dp53evav4EyWskoqe8Fe5yn9NHv+VTSfP68fZ+orebc985Fqcsj2zn6cekxy3DM4r9bZx812Lt5yV1b7gmlOM/vRT4CXnvcELdKllc3KWBtKn5e7xrts5p1SVNLu2afnNdKlpzzPx3Ms72vVvJY6VrSpODg3bVvZBufOh51f+KKZIyIiIiIiIiKi4uJiM7dxT9bg3NKxfgx902axwpuRIB3rV3Fk6hRUToKMTfE28Ja1fvFMJTrQj6lTOltBgg/H5r6nltV8nw/95nFq+fJ3nP1Kx3yHyXyAte5tdGPohDmite7qkSmcqpFjd+BW5wWzbq3nYp7PQffcbO6+TUMK/bjLL9nH09u/e0Avp56X5zxSzkuf88Wj+tj6dQA6L7yHE2V6/3Ov6eOr1+DiUfMayeN+hAOyHdznpc+CNsN6fscYuKBtK1vg4nF+gGUix3x69zNmiWhzPXz4EBUVFWaJaHNNT0/z+qO84fVH+cTrj/KJ1x/lE68/Wo+lpSUzt3FPXuAiCLwlneueDnTpNZfgwLE+2DENTTrbj2OheQTFQ3bnvXA78IuWBSNexcJxs0+RHnS4aNqNChWsWPQEBCzrORfJeLh6ZFngQgIJ3vNKZZ1/8wKOewMGaee5tsCFZ13aeXgDJ+lBlNTAiBv8oM2xnt8xlooiIiIiIiIiIiIi2jQ1ONXvQ9+Ip0SSZGA4A1nL5AkQrMksFm6Z2SyO9nv3P5UlsGDJeC6LmEuNZmRVVuzD9OWPrDPayqx/A3luR66yVNQWxcAFERERERERERER0WaqOY7OWx1QQy6UFePgdB+8cQytDMUHL6LDMy7D7Pkf4eLRIxmCGmV4/iWkBEOujLiZE0UHDuHiu+7YD1llPZcaHDl6Ee86HfyzOP9uWgqHTZ4b+nAsZeyKKzijlotwwFr3tidQIOe5fEwMa7uKi7hq7+LKVWQ52qOpOYWpC53Alg+0FB4GLoiIiIiIiIiIiIg2VRlOvHYUFztkYOkanLrQiVsd7mDR9iDSNacuqACH3a7GsMhS2qjsRHfKtlcPdMIu7lZ24j30H+zDMbMufQBw10rn0o+DfcdMexB46ahqX856bkNT6Id7LpVS2kmdt6zz7kePm7E8+8N+fczjr0rBqhyS8lT2uR37CV56i2NdbDUc44K2LY5xQcQxLii/WOOY8onXH+UTrz/KJ15/lE+8/mg9OMYFEaXjGBdERERERERERERERLQtMXBBBeg6Bt94E5329M6PkTRrRPLSOWfdn1/yriFajygG6utRL1PHqOcaS2K0w7Rb00DUNIvogNNeXz9g7cFuzrI9ESYQrKpClZqC1pLN296McMI0I4Fws91ehaD7AOshQac9476aw9aj1yARRvNat90EE0H3+XpfC2lPef5rol+/ZvcFXQN5/byvZ2aJcPPy/cq/yUonKa/1GvZNRCvxvi963y+97x+p7URbj/ms9n5meD+PM302ez5jMn0GZfxcIsqI1x8RET0eDFxQ4Uk+wP09L+L7595Bn0xvfhel9qpL5/CDBy/odmv6s5ftNUTrEx2IoWpsDGNjA2hBGGMm4BAdaEc0MGC1W+tO1mF81AQ1JGhxFjipHiNTOwJWc3K0A7Eq3TbQUobxGCMXZJPOtigCsRhisWG0+SOIqu9/0t4F9Ep7DMNtQGhEfzGcCDZhvG5Ytcd6GxAZNF8i5cujeoh+TCzWjVq7vSqKkjY/UF4Mn7RtmJzX5nayS6djF3rNc7KmYet3zrwWG+NDy1AMQy2P9kpk4quuA8YnU77UT0QjaAiof4nMfC0Ysv+tiGhDJoI9wGn9HtHbELd+Dc1vofX+Fw3odu/7KNHW5Yd/ZpBBNsoTXn9ERJR7DFxQYdr9lBOscF3HTz/cjcaWb5ploo0LtOvAA3AXi/ZgV8lRjI7XobHRXH17i8zAT0mMjt5Gy4D9GFdpYz/aVWMSU9FZ1FWlb0GFSzrRTad1YhLj8QaoPu6JEYTQhuOmN9tXXK5nEmEMRhrQane67yuxvmKKBMKDM2gbztABXtutghjF8/GVO9BXIHfM6TuWm6zzKsE+1aqzEILqbmZ9J7O7nZk8d+Glt8lzaW62Hm/fJZ0pw0Oe70wbhrs95y0d/d5lxXu3tXuM1IwM2Uafp9vufQ4yZcl4CXqDjZ729HP2VaMO47D7TGXbqPXvZb/sGV8Hcw7ucYlovWq7h6DfFuV3zo+6avMeab3/2W8Xd6z3QKKtrxytreUI9WT4TCR67Hj9ERFR7jFwQYXn3gPcu/G+KQd1Dk41KMnEOPwUHrxjl5HyrCPaqGgM42UtqA9Yl9hUFLN1VW5w4u4iVEwjOYXo7CzC7cvLRLnlo0JA25gJYhBpThkTdcOwDjzIXfr+umonOyKxMKN/To4j3hBwgxN35qG64lTQI45Qk9nXso7wBBZm/CjREYf1mQiiabwOw+qO5Qb4EUKPcyteBDMlkv0hnYYTGAmVm4yPXjRY//VKj2EijJ75VnXHs7obGl1uMCEeAVqlfRht1n6X3Qwtz29NWSI6i0Ifw9qXuVuwNtCAiE5h0a8R6mD3Z7rs5yB3akcwaJ7bRLALM226fbhkxtpKS4QHnUyY2FBL2rn5oJMuzOszEUXE/vda6XUgokfiBgUlg80OYnjpgEabHQ0m2spqj2f+TCTaDLz+iIgoxxi4oMJT/apTCqrvld344IfvYVLaVUDjQ/zjC55176eOf0G0LslRdEj5p/5GleFzd3EWZUV79TpL8u5tYL+1PBUFWkz5KGs6WTeO0VFz5QXaTXsjFts7YDcTidpu0wneOo8mdQe/BBmkqpPb8yZ3CvtL9jk/bSqgUV4MTI4DppNddYp7OuC1O5iPl8OzyzWTYzS0Sgf9BEbmAxhqbUB8/o5Z68n+yEaCD5Eu06lYha4IMLNgzs1vZ5VIh7/fbTfsgI2iSl6ZwEym7AxnfRNC9o3VtQE0RKIqiCNBH3iCQS73OUigQz83+Tdw230trdZWmmS/RLqyj63hLReVUiZqpdeBiB6Jr2VIv/8Nl2AwQ+BWl97LFNAg2op8aLE+a51SkESbitcfERHlFgMXVNiqX8C39tzHA7szeM+L+A/VZr7ah8MSzDCLROsimRLti2g0Y1XY9u91RlRZsfSTu51tL4p0XSmi5ZyyT8KbHZFa+sQNaCQwOZ69/JM38IHEAmb8domn9bHLq0wEB1Gy4t3K+1Dij6BLdcxLtsJxlWkgwQe/J6gi01rHl5AggH9mQX9xViWvpGOyzfM62SYQdMb3kLFCTLN1BoEGGTdEXiuJW6y111ICPWY2nTmPQDRLAMUpF5VWJuoRXgciWiNfMUxhPUNKsTVhvjXmlIwi2hbsu97VnVnZqc+WDaVTEq2A1x8REeUQAxdEtj1PYY+ZJXoUMqB2/WgRBtKCFuL2XRMli44hDF1CSswu3tUzZhyMqkASox2eDAvZfnY/lsUzqDCpMR7cju+JkZCnLFIcdlKDlCaKNLQ6dwo7d+mnjYPhZEHIuBCeDnOhSkytZ2BuuwSVRZVb6pIBsvU5ZB1sWkoxlbuDaNud8ioDITSSdgf0GqkgQAhN66qplBp0UOc/2JOlTFQ2dsBDL6l/Az3rqO2W8lbz1tHSmXJRPfLv5pb1eqTXgYiySB0jRv2u2kFaeY+tGkTJMIMWtB2Zu95D1t8GpsX+THRL+EiJxnjqjQpEOcHrj4iIcoeBCypsk9fwAfx4TjqDS62f+BA/NXeHJC9dw43DPtgJGERrkhxFKDwLzIbRrsamsKYBPWJFoL4FCLfrNk8JqdLGRtSNn9Xt7VEE1CDdpWi01i/a417I9hkCIVSgZJBpKQ9llw5CL2Kqd818WezS7Wp8CdPrVnu8DQg16XJDqvKJHmNBlTKyyxA1jaPOHqTblE9qktpJav1qg0Cbgae7IqY8lKW2G71SJ8nsX84zYyeg3OnsKYVkD9gtz/N024zJxPC0r4n1Wgzp8SCc/TaFMpR80oEGfYxBzHhTMqRcVNx6/hnLRGUnr/WM+Tfosb6q26WinDFJqpowXqezStKpIIV1zJQAzyO9DkSUWS26VXko/Xul3i/V+2IC4R7pcFtp7B+iLU7uek9JMbQ+E0+7n006u3E45TM5bv+NYE3N5kMmUxvRqnj9ERFRjuz49JOlz8080bYyl/wYB0qfNUtaprZ0yUvn8IMP7QJQh9F47lVPcOI6Bt94Hzdkds+L+P6b31UdyyuRYz69+xmzRLS5Hj58iIqKCrNEtLmmp6dXuf4mEGxewPFlA1GnkSBJNGCCL3KzczN6cJrlkFYlwSIZUNgEmwrM6tcf0ePD64/yidcf5ROvP1qPpaUlM7dxu3buMHPaWvp9HsX0zRuoOHTYLBFRrq3nd4wZF1RwSl9+wx2cOyVoIb6JVnvdGoIWRES0klp0rxa0EHJn3oybGdEUKl994O5CpzJiulJKShERERER0VY2i/PNlaisdKczV8yqLU/O/VWcnzWLy6Q9t7U8sdnzaG4+bz2SKDMGLoiIiCjPdFknd/DpwswgWBd7wPGMtbeIiIiIiGhrOoTOC1OYmrKmC5241XEG2yZ2kY0EICqPYe4187xkOrKwQpCDaG0YuCAiIiIiIiIiIiLaTGXP46WKBBa2eQf/lZE+HOyfwqka0yBqTuBEmZkn2iAGLoiIiIiIiIiIiIg20+xHuIzv4Hmng/8KzjhlpNyyTLPnX0Xz+StuKSZPeSVZ55RnqnSzN66ckTJU7v6kcpO7bWrJp5R9eEs8XTnjaf/INKa7gqsXj+KIN2iRzruftGPb9HN0V3iX9bz7/FW7Z5/OKZvSU1cyPU+VFWKfwxOQ5VIgGLggIiIiIiIiIiIieuxuou+Y6UB/G3hr6AR03EKCDFdxxC61dOE7uPy2G6CY7vuRtbGsu4BO9GHE9LyXnXjPKc90oTOBdz2d/xc7zP5USapKvI1usx3QZ3YgQQG7XaZ+dOhAgHT0dyTcslZH5tA3rR6SanYBtyoOoMgsLiMBhg6g3+xfPa9j6w8cuM+/Hwf7jqHy6hG9v/6juPiuZ5yM6T68m+F52lkh6jFTp7BSnIW2jh2ffrL0uZkn2lbmkh/jQOmzZkmTtnzY+YUvmjkiIiIiIiIiIiouLjZzG7dr5w4zp2XqC8ql6Zs3UHHosFnKNRnAOgi89R5OlEmg4kc4cEHmZdV5NB/rQ2ps4Cj6p06hyAQXhkztJTvYoJdlPx24qNZYjvZj6lSNyri4esQu32QHRUyHvQQTpOPfbNfhPFir6LyAoeIRNC8cd46Zeu6mSUnbdxo515Hi91LKSDnnVmQ9ZxO8wQrPMfX5pp2HvG52AMg7r3eSsn/r5UWn/XpT3qznd4yBC9q2sgUuHucHWCZyzKd3P2OWiDbXw4cPUVFRYZaINtf09DSvP8obXn+UT7z+KJ94/VE+8fqj9VhaWjJzG/fkBi6sRU8AIaUDXm/sSO249y4vpgY/0gISaw1cuNu50o+57Nwd0q4H5k7fh5D9bIXAhdmrOte+aR0QynC6tAnW8zvGUlFEREREREREREREm6nmODpvmdJMZcU4OO2WgFoTKdMEH4p1rzyuXE1LnViDogOHUkstGWXPf0fqLLklna6MZC4VhTKceO0oLnakj5txRi2XFfusdZ7SULPn8W6GMTFku+nLH5nzmMVHl2+qudyyznVoCv1HL+Lqel5nyhsGLoiIiIiIiIiIiIg2ld3pLx37NThlxqKwB51OGSg7k7ITeO3oRXSY7a/iqFmxdjJGRv/BPhyzj2kPaG3t+63OhLPvyqsH0Jkt2armlBm7wt6HjKdxXGdEWOtk7A1nP8d+gpcuZMh2kCAO7PMIYu7gIbMiNyTLwz63DvRnzA6hrYelomjbYqkoIpaKovxiqQDKJ15/lE+8/iifeP1RPvH6o/VgqSgiSsdSUUREREREREREREREtC0xcEFERERERERERERERFsGAxdUgK5j8I030WlP7/wYSas1eemc2+ZM72FSP4gou+gA6uvr0TEqV5ItigGrTdrr6wesJVsSox3rabckR9Hh7KsDKYehAjeBYFUVqtQUtJZs3vZmhBOmGQmEm5dvPxG029wpqFZ692NNzWFrDytJ2z7l2NnIY7znvkYTQXOMDTyWiMiR+X0xtd2a9Jsi0RZlPn+912kijGb7c9s7b5PPUbN9ItyM5rQP7ExtRJnx+iMioseDgQsqPMkHuL/nRXz/3Dvok+nN76LUai59+Q29bKbvv7gHe158AdX6UUQZRQfqUR8rQksZsH+vXElCghAxVI2NYWxswFo3jpiJRCRHx4A2aR/DybpxjJooRLZ2FbRojyIwoNeNjfWj0T4MFTjpVLOujVgMsdgw2vwRRNX3P2nvAnqlPYbhNiA0Yn8xHAFO6/behggGzRfC2m7dpibrAX40IFBrrZiIItLQ664baoFPPWIlDdah7X3VYbxpLcEL29qDGBPRCBrUc+xG7ToeR0Tkle19MRHuwXjdsHn/60VDJMr3GNri/PDPDK7jM5col3j9ERFR7jFwQYVp91MqWJHddfz0w9048jJ7iGllgfYxjLXvxeJsHaoCptG6uhr726EWk1OIetaVNrabwEMSd2+rJiVbe3QsjP0nGaygTHxoGZJOe0tiEuNxO9gwghDacFytsLYqLtczFl9LN1pU5CGBhRnVlCaBcE8I5b16vwlrI3/JPr1qI3wtOO0ETla7e1mCD12IWP91Wevtu+zkjrv0x0iGSFcEiHRJWzDj47xZJM4de+ruPtk+dX9EVLiyvS/emY+jvNiEalUQN6Dfb4m2rHK0tpYj1LNadiTR48Drj4iIco+BCyo89x7g3o33TSmoc7iUqezOZAL3mW1Ba5W8i9tlRdhrFoXKxJDSTiFJpDBBDC8T0GhMj0iktEcRGwfGz7JMFGXmdM73yA3DOtggmQj+umonM0KCD8uYQEer7q1zyB3GofJedJveOem4i4ea9DFWLROVma+6Dv6ZBeuxEmgxmRiSIbLsrrxadMtdzSZjY0jObSKIpvE6DDuP6VIlrCRDpLcBOuOiuzvj4wZL7Dulh1E33uMeKzKDkmFplzuoeWcgERlp74u1x9swI8FRef8bLMGw/cZItJXVHkcbQjCJlkSbi9cfERHlGAMXVHiqX3VLQr2yGx/8MH0ciyQuXbuP557jLe60RncXMbt/b0oWj8rEkNJOjYto7xi1riqvKAZU+af0gEZaezSG8bqTpkTUGAZagPBYyugXVOCcEk+t82hSgQV9x7Bzl7BFgg+pWRMTCDaNo27YZGvYEmH0hMrR6+mc85aQ6i3PwRdRyXhQ2Q5NCMVN2wok6NLQapen8qGltQERXQ9rRfI4J+CijhXH/B2zsqHV3F1di0CDp52ICtjy98WJkRDi/jb0tvmB+Dz4VkHbg/msHORd75QPvP6IiCi3GLigwlb9Ar615z4eeHuVk3H8YvcLYJUoWqvk3dsoK/LmW3jsLUKZmVXUQNujKBpIK/+UrT1N1uNQYdtXAr+ZlRrDbpxiAtGIH3XVJpAhgyNWDaJkeMh03rukkw5tx1ODGTmQmBxHvLzY+io7gaAaekMCITImh9lgBRJ02Qh5nB7/wp14szQRZZThfVFK1KmsraEW1LYMpYx9QbTl2Xe9p96Ztcwjl4MkyoTXHxER5RADF0Rpkr+IY7fvm2aJaDVJTEVn3YG5JQDhybCQMSqcbIzoAOrbF9GYPsB2tnZx+67ZVxTWrhCoXCGqQYVDOto8pZvUncEqOCDcLIJEeBARO8NAsh2a5tEaWx60kHVdM204vWyFIesjZgyN9VBZHBIPSX/gHawlJlEb8N61l0B4MIKGNZxE6uOIiLLI8r6YMr6F9U6SnslGtLWZu95D1t8GpgW+atSllPCZwEjIe50T5QqvPyKiJ92vf/1rM6elL+cSAxdU2Cav4QP44VaFSuIX1l9YT+8xi0Qr0ONYtCM8a8ahGIjKKNvol/JQakyKepzFSYy1S+GnKAbOjls/x3HWrKtXAY5s7ZZAPVoQNvs6C3CQbrL5WjAk5aFUKaQqdKEXMZVSYL4smrrsanwI1S7ZDhHrpx7AWpVQcgIfsm4GbaftkkwibSBtlSmRVloqK88xVOkVu0NQSjPZ6wYxkzHjwt1GDahd261KVOnn2ZQy/kaqlR4nU9B6lkREXtnfF1Xw0x7fwnrvGa8bZtYWbS9y13vK56z198Fpz7gt1gf7TFvqde2WWDSfpVnaiFbF64+I6In029/+FvH43+L6R3+Fzz77TLXJT1mWdlmfazs+/WTpczNPtK3MJT/GgdJnzZKWqS1d8tI5/ODDe2bpMBrPveoZhPs6Bt9I4GBK28rkmE/vfsYsEW2uhw8foqKiwiwRba7p6Wlef5Q3vP4on3j9UT7x+qN84vVH67G0tGTmNm7Xzh1mTltLv8+jmL55AxWHDpulXJvF+eZj6Js2i5aj/VM4VWMWNmD2/Kt4G90YOpFSpDqnMh/jCs5UXsWRqVNIOf3Z82h+G3hr6ERq2WyPK2cqcfXIoz1vyg8JUNy7fx9f/cpX8JWv/C5+9at/wsNf/Qq7d/8envOvoR60ZT2/Y8y4oIJT+vIb7uDcywIU30TrOoIWREREREREREREa3MInRemMDVlTRc6cavjDK6YNdtLDY4cvYiraSc/+9FPgJeezxq0oO2tuLhI/ZRgxcfJOfVTFBfp9lxj4IKIiIiIiIiIiIhoM5U9j5cqEliYNcvbTM2Ro7iYErmYxUeXJW7BsMWTanHx79TPXbt24fd+72n1U/zd391VP3ONgQsiIiIiIiIiIiKizTT7ES7jO3D7+aX8UiUq1fQqzpuAhpRqaj5/Beeb7XVZsjSunDHrUx8vpDyTva7Z3TGane29+/Sexxl8ZFqXqTmCoxevuo9Lez7eY1Y2n8fy+IwcJ/24nuWs50eb7cMrP1XT39/Tpff/7R/+ASqee079FNJub5NLDFwQERERERERERERPXY30XfMdManjAVhjxlhl5H6Di6/7Xb2T/f9yNpYr7vQmUDHmQzd+DWn9GNl6vehb0RvI4GPDvQ769RYFfZYFM72MPuUcTg6cKvzgtn+COb6bqr9LJdaLiq9TFTNKbNva+o/2AdzOmuT9fyokDBwQURERERERERERPTY2WNc9OPo9E/wkR2ZmF3ALVxEh51hcKwP09NzWDSrKzq7YY+NXXbie6mZDg4JOpjHd1wEbi1YLbp8U+fxtJGwF+es/ffhmH08Z/tFzKETbzkDcdfgeOchM7+cWy4qQ5koT8aE3v3ynIussp4f5cOLNf9BTVIeSvz3v/4bTP/iF+qnkHZ7m1za8eknS5+beaJtZS75MQ6UPmuWNGnLh51f+KKZIyIiIiIiIiKi4uJiM7dxu3buMHNapr6gXJq+eQMVhw6bpVyTwEIQeOs9HYSQ0k5Xj2DqVI3u5E/JwHBJxsTb6NaZEoqdnXEKRc46WPs+hrnXpiC7c/dXjBGzbUrowntsrwznsfz4XuZcLhzAuyPFGLL3J/s5NofXzHG9+5ASUlePyHm6z0M/yrOc7fwor/7pn/7JCVZ4Scmo3/3d3zVLK1vP7xgDF7RtZQtcPM4PsEzkmE/vfsYsEW2uhw8foqKiwiwRba7p6Wlef5Q3vP4on3j9UT7x+qN84vVH67G0tGTmNu6JDlyoZTvYIJ32HUC/CTx4SKf/scvfwQUTTFDLc99TnfpuQGDRevyPcOCC3rf3MYtnKnWpKO+OVWDhJ3jJbO/ynpMs6/OS0lGZAxcSA6nEu7cO4eBr77nnLoGHdw+Yc9b7vPyS3ocbuEg7ljxGvQSnUJP1/Cif/ubGTdUP9dWvfAVf+crv4le/+ic8/NWv8NWvfhV/cDh7Zo7Xen7HWCqKiIiIiIiIiIiIaFOV4cRrR3GxQwaersGpC5241WFKI8nkGdOh4uAc3jbtKiDhDUIoUtIJzvgZb8/5YIcYa05dQOetDme/anDushMYknEw7PE27HY5p7e853EVB1YoFSWkXNT0tA9HvKdUcxydsEs9BTF3MNM+7OdvjnUVOGrWZD8/ypfPP/8cv/M7X8KuXbtw8KAP+/btUz9lWdplfa4x44K2LWZcEDHjgvKLd9xRPvH6o3zi9Uf5xOuP8onXH60HMy5yw1tmiSjffvOb36hghS19eTXMuCAiIiIiIiIiIiIiopxJD1KsJ2ixXgxcEBERERERERERERHRlsHABREREREREREREdEWVHbiPZaJooLEwAUVoOsYfONNdNrTOz9G0qxB8sf480ztRBsRHUB9fT06Rr1XUhKjHfWqvb6+A+4qb3s9BqKmdbTDabOn1P1RYZtAsKoKVWoKWks2b3szwgnTjATCzcvbJ4J2mzsF1c6821uTblxZIozm5rD1yFyQ43vPf2tJhJvRvFVPjoge0Qbe/4jyTH2e5+wzmGitzN+d3vdJ79+Dmf42nAg622f6e4p/YxERkWDgggpP8gHu73kR3z/3DvpkevO7KNUrcOn9D7H7Fd3euPtDjF5iBzFtTHSgHvWxIrSUAfv36itMByfaEQ0MYGxsDGMn9yM8piMU0QFvex3GR0dV4Ky0sV+3qekk6lCGQKW9Pyps0qkWRSAWQyw2jDZ/BFEn2NAF9Ep7DMNtQGhEfzGcCPYAp3V7b0Mc45P6C2Ftt25Tk/UAPxoQqJUvjT0Yrxs263rREIl6giNERE8uvv/R9qI7jqMl8hlOlA9++GcGt+zNJkREtD0xcEGFafdTJljhdR//eO8wDlbrpWrfYdx7cF8vEK1ToH0MY+17sThbh6qAaUxOIYoWtDWaq29vEcpu30UyOYrR8To0etv1XIrowFncbmmDvRkVOh9ahrpRK7OJSYzHdbABEyMIoQ3H1Qprq+JyPWOp7R5Ci0/mJhCN+FFXrRY8Egj3hFDeq/d7Zz6O8mKzzUQUkYaAPt46eLM5nDvn1F12QX13ntyBp+7Es5btu5vT78qbtLY3+7Bv5kvJEnG21xkawWCzWZct28Tdj7oL0N6PmiRzxZux4jlvi9wBqNubMTJvGkXKfrzZL0S0HeXi/Y9o89SiOxZDt/keQ7T5ytHaWo5QT9rfcERERI+AgQsqPPce4N6N902pqHNwkyp24+k9N3BrUi9NJm7gsO+beoFoI5J3cbusCHvN4jJ3FzG731o7FcVsXRXs+IZqN7OO6ADO3vYEPYgsTue9SqTQwYaJaAT+umrYIYnEwoyZ83a6S6aGHcRwyR3GofJedJveudrjbZjpMscYLMGwvWKtJoIYLLHvWB5G3XiPG0iIzKBk2GofatHnGo8ArXq7NoRgkkQscYTmA3ofvQ2IDOovxN4skd7y1O0jaFXt3mwTeW7zav8y9QJdOrgwMSKBGrOfBqBBBW10B5C9bXloRAciEmH0hMrRq9pbrecQl1ZZgXDPvHX65jFq984JEdE29Mjvf0REhab2eNrfcERERI+GgQsqPNWv6hJRMr2yGx/88D3oWEUpXn7zFeB9PcbF1adeRyvvWqJHYQITTqihtBIBhNFuj1dxdhxlRXutzWbVT1vy7m2pL+XJCopi4OxttLQ1ZsgUokLmdN63zqNJZR0kIHEK5y5hi9w17C/Zp+Z9LUN6++ESDKZnBdid8p7OOenUj/vb0NvmB+LzuGPa10qCJvFQkwmWNCEUj2Pe3klDa2rgxDqOzhLxobrOj5kFO8LhR5udPlIbQIN9Hp4Mh66IWmu42/uq6+CfWVCBDnkdInYnZFUXIpiBc4gM3CCPbGvcmYe1c3PXdS2Oy+ui3MF8PIIucz5VckLmuES0PT3q+x8RUeHxoaXVvcmEiIjoUTFwQYWt+gV8a899PJCsCzUwdwIHTVCjERfRGb6utyPaAAlAeAMSEhxr7LfHqxhAS5k7XoV3HIyp6CzqnPpSVsvoKMbrGlkiirLbV+Kpae2HiVNYspSE8hXDLSClSSed2ymvO+5VtsRQC2pbhtDbEMHgOgsXS7CgwWQz2FNublqWDIdx1EnGhrVPyZRYmQR0/Ggz2+tJZ5zsK/E7AY2uGRM8kSDOeB2G1Xa9sHfvzV5JkVjAjL/NbG8mO5OEiLadXLz/EREVJDvrwlQxyEb+prJvrCEiou3l17/+tZnT0pdziYELIiP5izjw4guwkyxKX34Bh28kTDYG0XrpAIQbkEilB+N2x6u4fdfULIuOIYwW1DvjYowiFN6Pk+1uIINIZRt4xoFQdwaXF5uOcjerIREeRERlNsiYDW6GhWr3l8CNbwRVp/1pTwpESn131fGfmsmR1Z156wy02kAu7rpzBxFXdea9563oc1uZZHG4ZaNc1nv8uF36KUuwQYISZlYyOKyTMc9nAiMh80x91ahjaQSiJ8aG3/+IiAqeyboIWX+bmpblfyfpv6H4vkpEtL389re/RTz+t7j+0V/hs88+U23yU5alXdbnGgMXVNgmr+ED+PFcKVD61G7c+/CaG6iYTODGnqewxywSrVV0QEpBtSM8C4yfteYHolZrEqMdpkSUNY0WDaDfRC0C9S1AuN2UjwJO9tsloazHhMLYf7LdHf+CSPhaMCTloUxpoi70IqZSGcyXRZNB0CRZA6q9Ft2qPJSn3emkn0CwawZtp1M77VXQwSmt1ITxuuFVsiXMgNZdETS0mn3VdqvxJ+zz3Nig1Q3Wl90e/XjnPE0gosmcmyffJBtfy2m0zXSZ87AmFfjxobjcU+LJmtRA3OYLtjrvpnFJYrF3glbn+URR4pSKsl730556+PZ+iGhbWv/7H1G+mc/gphDicf05xc8hyhvJukj50yz976QuzLSlvq+6pUXdazdTG9H2N4vzzZWorHSnM1fMqg2aPf8qms8vGyUzpzIf4wrOVJ6x/p9m9jyam88vH7fT48qZR3/eQvZTmYsd0Zrs3KnDCL/5zW9w61YCd+7cUT9l+XPrP3t9Lu349JOlz8080bYyl/wYB0qfNUtaprZ0yUvn8IMP75mlw2g896qTZbHSumzkmE/vfsYsEW2uhw8foqKiwiwRba7p6eltfv1JR48MVK4HNleZLDLQOcs8bQvb//qj7YzXH+UTrz/KJ15/tB5LS0tmbuN27dxh5rS19Ps8iumbN1Bx6LBZyjUJXASBt97DiTJZPI/mY3N4beoUavQG6yZBhbfRjSG1w8cj2zEkcHD1yBROeU5+LeeT6XHrcuUMKjsu4ujRo7iII5ja8I5ovT799FP8fOr/Mkuuyn/3b/HlL3/ZLK1sPb9jzLigglP68hvu4NxpgYmV1hER0ZNGBtiecTMumkIot7NFiIiIiIiIHqey5/FSRQILjzdh4rGpOXIUF696Mx5m8dFl4KXnH18QRak5hampKZw6YpZp0ywu/p36uWvXLvze7z2tfoq/+7u76meuMXBBREREBcvXMuQOqG1NLAdDRERERESbYvYjXMZ34PbzS/klu4zUq7CrM+lSTVc8ZaYylGgSkomQ4fFClVUy65yyT5Lx4Wzv3af3PM7gI9O6TM0RHL141X1c2vPxHrMyY/mo9HJTactZz48224dXfqqmv7+nq9T82z/8A1Q895z6KaTd3iaXGLggIiIiIiIiIiIieuxuou+Y6Yx/G3hr6AR0P7902l/FkakplU0wdeE7uPy229k/3fcja2O97kJnAh2ZxnYwmQhq6vehb0RvI4GPDvQ761QZJwkKyPGd7WH2KeWsOnCr84LZ/gjm+m6q/SxXgyNHL8JOupj96CeSbmGej5yO2bc19R/sgzmdtcl6flRIGLggIiIiIiIiIiIieuwOofOCdMb34+j0T/CRHZmYXcAtXESHnWFwrA/T03NYNKsrOrv1uBiWshPfS810cHgG/+64CNxasFp0+abO42njQCzOWfvvwzH7eM72i5hDJ95yxqiowfHOQ2Z+ObdcVIYyUZ6MCb375TkXWWU9P8qHF2v+g5qkPJT473/9N5j+xS/UTyHt9ja5xMAFERERERERERER0aapwSlPVoRS0YkLdoaBmtYzaLcELY5h7jXz2Aud0MPoL2Ju2odiTzzBcdTNwlCTZH+oAMo62OWipEzUwe85wRUVtFADj+t9X1gh+JFVpvMzqyg/ir72NfXzN7/5Df7hH/5R/RR2e67t+PSTpc/NPNG2Mpf8GAdKnzVLmrTlw84vfNHMERERERERERFRcXGxmdu4XTt3mDktU19QLk3fvIGKQ4fNUq5JcCEIvPWe6eB3gw2naqRUVAfQL/NqY4eUejp2+Tu4YDru1fLc9zBlbSjzb6MbQycWrcf/CAcu6H17H7N4plKXivLuWAUWfoKXzPYu7znJsj4vKR2lSkxlIGNZvHvrEA6+9p577jLexrsHzDnrfV5+Se9Dtr96RPafdix5jHoJTqEm6/l5yPZXj6Q+L3qs/ubGTTx8+BBf/cpX8JWv/C5+9at/wsNf/Qpf/epX8QeH1xacWs/vGAMXtG1lC1w8zg+wTOSYT+9+xiwRbS75wKio0PdREG226elpXn+UN7z+KJ94/VE+8fqjfOL1R+uxtLRk5jbuyQ5cWJZ11vdh2qxSGQenTHBizgdcvKjXSWaGJ4ihAxdlOlhhxqOoOHoUuHXAjKGhAwR9ZscVdhBCHfuibrQ47SnncRSdnQlcNsfIyPscTJMdANHHPAR9OnofbuDCWuU9B2ujo9bsEXs/2c7PJusZuNg0n3/+OWZmZ3Hv3n38+29U4Utf+hI+++wz/NXPYtizZzfKy8qwY0fq72smDFxQQWDggoiBC8ovfnGlfOL1R/nE64/yidcf5ROvP1oPBi5ywxucIMo3KQ+1a9cus7R8eTXr+R3jGBdERERERERERERERLSi9CDFeoIW68XABRERERERERERERERbRkMXBARERERERERERFtQWUn3mOZKCpIDFwQEREREREREREREdGWwcAFFaDrGHzjTXTa0zs/RtKsweR7mduJ1i2Kgfp61MvUMepcS9EB0+aZBqJqjbu9NXWMulef9zF6WyLbBIJVVahSU9BasnnbmxFOmGbbRFCtazYrJoL2tu4UVDvz7seamsNI31Uqs71+sJYIo3nVx+WHPG/vqRIReXnfG/leQVud93q1P9+JiIiItjMGLqjwJB/g/p4X8f1z76BPpje/i1LV/mP8+fv38a0/1e2Nuz/E6CWGLmhjogMxVI2NYWxsAC0IY8wEHALt0mamgRaUoQ5VAdn+LHDSbUd0SgU7kqMdiFXp9oGWMozHGLkgWwLh5igCsRhisWG0+SOIqo41ae8CeqU9huE2IDSSFkgYLEFbA1Be7FNNtd16WzVZD/CjAYFaa8VEFJGGXnfdUAv0I1bih39mcHmwZBk5T2+whYho60iEmxEN6Pe+4TY/IvoNlmhrsj7bB2E+r/UHPz9faRPJ33QZbpQhIiJ6RAxcUGHa/ZQOVnjde4B7h1/Ay2ZF9ZEXgXicWRe0IYH2dgTU3F0szqqZNEmMhsLYf1K2S+Lu7TIU7TVrpqLWDirVNVra2I92taMkpqKzqJMoB5HiQ8tQNyS+gMQkxuN2sGEEIbThuFphbVVcrmcU64tlzzjqThdjPuJHyT7T7JD1IZT36v0mFmbgX77RKsrR2lqOUE/mLAvpDNR3hDZZ51kCvXfJ1AgiqO4WlS+++gtwMKi3XZ794flybLJHnEmyOyQ442nz3int3pEaREoY0LufLZohQkSbx9cyhG79BovJ8Tga1Bss0Rbla8GQvmDlg9/6JJ7BAj/IaFPI32zW33TW9+ZQk/U3lPVHV2pGK4MaRES0cQxcUOGRAMWN901JqHOwkyqSD+7rGS/Z1swSbUg0hvGyFtSnxRuSoyGE9580QYlSNDbuR7hdl4NqX2xEf6OJoEUHTJmoENA2ZrYn0pxO+B7gdEwHGyaiEfjrqp3MCAk+2CaCTZhvHUILFjDjr0N1WvpEItyDUHmv6awD7szHEQ81rb8zv/Y42hCCN9FDmQiiabwOw+oO5gb4rW16nG+yEcyUDCMWs85PnVfcamlVd4/K+UwEB1EybDI/huswrgIj1pfhwRm0qXbJOvGj7XQLfNKBI9uZO09nBs25W8fvmmlTx48Nl2AmIo1iAsHBEt1uTcN1457zIqKC5AQz1Rus875ItOUlMn/GEz0eciON+RtM/h6z3ixrAw1ulprcXANej0REtDEMXFDhqX5Vl4iS6ZXd+OCH72HSai59zo89NxJqXiR/EWfQgh5NchQdUgGqvzE1w8dqD4X346QThUhidHQcqDuJk3XW4u27bqZPoN2UlmrEYnsHPENfELklnlrn0aQCCwlInMIuASUk+CBZE5LpMFgyrDvf7swjXl6cWvYpEUZPqBy9nt45bwmp3vIMgYisrC+xrdaXVjtgYEgQpaFVyk1NYGQ+gCFrm/j8HbO2Aa06YmFYX4DttBH1vMydfNKR2BRCPD4P+5GZOEEd2da0uce3+FpgHV6TTp54CE2qk7IKTaG457yIqCDVdpv3v1bMN/FuYdouJHNSMivXUtqR6DGpDaAhElXlyhKT8h3HvaGGiIi2v1//+tdmTktfziUGLqiwVb+Ab+25jwfSGVz6XTS+eB+jZnDuUfhxeM9T2KO3JFofyZRoX0TjmF0yyhUdCwMt9U57dKAdi41jGGsPINCeOiaGay+KyswsUbp9JdY7ls1bAmoC0Yjf+r54ByPSGW9nT3RFgEhXyuCdEyOS1XNcl57KBTvrwo4GWySIIlT2hBOUWIs7mI83oNcEUfQkGSY+FJfbAY0mhMpbdbaGZFZ4an3br419/GUkkOMdy0Mm3l5NRMo+lLhvsERbmmRWjtedNpmLRPlSi0CDjL0mpfYkbsELkojoSfDb3/4W8fjf4vpHf4XPPvtMtclPWZZ2WZ9rDFwQeZS+/IaTjfFnTz3AjUxjYRCtQgbUrh8twkCGoIUENM7ebkGbXQoqbXwLPSaGLCcx2uHJsIiOITy7H3t5QZKQMRw8pZsk6OBmUMRhJwskwoOINEhnfi26PZ3yvQ1AQ28MQ3bPhimhdDpbT4esj5gxNNbMZF2E3IwHVTqgqwpd0AEGKX92mggAAMH3SURBVGu1trrx+gvw4LJbnicQtUs/ZQs2SFDCzKaWLghj0C4Vpe4MXMuA4kT05Eurxy7jBsXL4UlkI9qC5LqtUpmVzmc7UR6pv7kGe1gmimiZWZxvrkRlpTuduWJWbdDs+VfRfD7jwJo5k/kYV3Cm8oz1/zSz563vquetZ5rdlTOP+LyvnPG8hhnOgR6LnTt1GOE3v/kNbt1K4M6dO+qnLH9u/WevzyUGLqiwTV7DB/DjuWWdwdcx+P59fOvIN80y0RqpMlDWR/RsGO1qbAprGrDTJ6IYOHsbLW3e0lGlqAzAGd+ivl7VlkJjaSka+6U8lGmX5kyBECpMMoaDlIcypY1UdoHqtDfBgi5T8kjGk1jWmS9ZGN4gxASCXTN6bAjTYneAqOwMlaEB9JoxNNZFsi68dyrXdqugiWR72Oe91sSG2u5elNsZIzKpUR/3oQRuiSeZVLMKROhjVA3OuNkocj4zpr0HqLNLRVnPrLu33C1FZe+HiAqQ1GuX8lDm/WCj739Em0kF2OBmVlqTN6uS6PHyoboOzuDcivwtFrcuSpaJIsrgEDovTGFqypoudOJWx3bteK/BkaMXcTXt5Gc/+gnw0vN4nAUjriwcwAV5/WTqBzpWCZRQ7hQXF6mfD3/1K3ycnFM/RXGRbs+1HZ9+svS5mSfaVuaSH+NA6bNmScvUli556Rx+8KE9esVhNJ57FdVq/joG33gfN9T8HnzrT9/Ay2u4u12O+fTuZ8wS0eZ6+PAhKioqzBLR5pqenl7n9TeBYPMCjg/lqPa2ZJ7IuLn2/mQw3WiAZZ4KxPqvP6Lc4fVH+cTrj/KJ1x+tx9LSkpnbuF07d5g5bS39Po9i+uYNVBw6bJZyTTIugsBb7+GE6tlPX14/yYZ4G90Y2ugO1iDrMSTz4eoRTJ2qMQ1rez6ScXH1yBSchz0KyfB42zrk0InHGiwh7W//9hb+/t497Nq1C1/96lfw8OGvVMbFM3v24Pd//6DZamXr+R1jxgUVHG85qD4naCG+iVanfW1BCyIiWo9adOcqaCFkgO1yT8aFZI6sa+wMIiIiIiKiPJn9CJfxHTzv9LhL+SW7BNKrsKsz6VJNVzxlprJkaaSUUHIfLyRYYK9zyj5Jp7+zvXef3vM4g49M6zI1R3D04lX3cWnPx3vMyoxZEenlptKWs56fx+Icpg8WM2jxmH145adqkqCF+Ld/+AeoeO459VNIu71NLjFwQURERNtWbbc7dkcsNsQBSYmIiIiIaAu7ib5jpjM+JVNAOu2v4ohdAunCd3D5bbezf7rvR9bGet2FzgQ6Mg0SUXNKP1aVUPKhb0RvI4GPDvQ761TmhJ2p4GwPs0/JmujArc4LZvsjmOu7qfazXGq5qPQyUTWnzL6tqf9gH8zprE3W8/OyXrOOBDqP5yJ1g7YiBi6IiIiIiIiIiIiIHjt7jIt+HJ3+CT6yIxOzC7iFi+iwMwyO9WF6eg6LZnVFZ7dTfqnsxPdSMx0cEnQwj++4CNxasFpm8dFlLO/cl0yF6T4cs4/nbL+IOXTiLafWUw2Odx4y88vVHDmKiypyoY/zkps+ooMPZv9698tzLrLKen6Gyi6RQM/Gy2zR2r1Y8x/U9Hu/97Ra/u9//TeY/sUv1E8h7fY2ucTABREREREREREREdGmqcEpT1aEUtHpDjqtplPWVmslQYtjmHvNPPZCJ/RoNIuYm/ahOFPn/lE3C0NNkv2hAijrYJeLkjJRB7/nBhEkaHFsDq+ZfV9YIfiRVabzk3Z7bI11vT6UC0Vf+5r6KeNa/MM//KP6Kez2XGPggoiIiIiIiIiIiGgz1RxH560OqApIZcU4OJ29nNL05Y+cbIPZ8z/CxaNH0jrtJUBxCAeK9JKUbZpWc7qc07IyS0UHUHHxRynjYChlz+MleM/jCkaylooSev/vvv0THDziOSPJmKg4AH06ko2RaR9FOFDhlprClau4aGaznp8EaN4F+nMysjet1y/vLKifX/3KV/Bs6QH1U9jtubbj00+WPjfzRNvKXPJjHCh91ixp0pYPO7/wRTNHRERERERERETFxcVmbuN27dxh5rRMfUG5NH3zBioOHTZLuSZZEUHgLU95I8ke6AD6JXtAZSn0mYCDRTIOTtVAxqh4e84HXLyo10lmhsk+UOvQrcatkPljJshQcfQocOuAGUNDZ2P0mR1XdF7Q41yoYzuhArc95TyOorMzgcvmGBl5n4Np0s/VPuYh6NPR+5BBu68emYKKPXjPwdroqDV7xN5PxvNbxBnrYG6rkPJbLBn1uH3++eeYmZ3FvXv38e+/UYUvfelL+Oyzz/BXP4thz57dKC8rw44dqb+vmaznd4yBC9q2sgUuHucHWCZyzKd3P2OWiDbXw4cPUVGhE0CJNtv09DSvP8obXn+UT7z+KJ94/VE+8fqj9VhaWjJzG/dkBS42xhucIMo3KQ+1a9cus7R8eTXr+R1jqSgiIiIiIiIiIiIiIlpRepBiPUGL9WLggoiIiIiIiIiIiIiItgwGLoiIiIiIiIiIiIi2oLIT77FMFBUkBi6IiIiIiIiIiIiIiGjLYOCCiIiIiIiIiIiIiIi2DAYuqEBdx+Abb6JTTe9h0rQi+WP8ud3+zo+RNM1E6xYdQH19vTN1jHqupuQoOqR9IGoaRBKjHfb2HXA397anP4ZoAsGqKlSpKWgt2bztzQgnTHMijGan3ZqC9iMSCDdn2F4x+2oOW1utbCJYBWeXRiLcjObUHW5J2+U8iSjXsr//yXua/X7J9wfaDtQ1u4bPayIiIqLtgIELKkAStLiGp//0HfSdk+lVVNvtP4zjOdPeuPtDjF5i6II2JhobR93JMYyN6am/sVS1J0c7UB8CAnVAWdFe1SaiA1Zjm972ZN0solP62kuOhhANDJj9nETdeAwMXZAmnW1RBGIxxGLDaPNHEFVBA2nvAnqlPYbhNiA0oqMJiclx6zobVu1q6q5V7RPBHuC0buttiGN80nR5TARRVRVFSZsfKC+GT7dmVRtoQESfhJGAHLKuerVHppHjpkdAiIhyTt4vmzBeZ94Xe8vd98twM7rQq9v1G6knOEy01eibDKIlbbA+sYk2mbyXpt/4QkRE9OgYuKCCk7x0DfdfPIqXdT+yazKBG4dfcNqrj7wIxOPMuqANSOLu7TJ44hKO0sZ+jPVXAtb6QKV7EQba+6FjG1HExt11dxdnsX+v2S4aw3hdFQJ6iQqeDy1D3VChh8QkxuMNCMjCxAhCaMNxHZOAr7hcz1juzMdRXrw8iFDbPYQW1TyBaMTvBhpquxGLdaPYelyD2vkqagNoiETdzj05L9TB3l3mu5c92SFyl6gELboiQKTLarO/BGfOIFEZHkEJrpj9pWeUqCwU793U1uQJiEjHpG5vxsi8aRQp+/FmshDRE0W9R7XhtH4DBPaVwD+zYL1rTGBE7idw30jhvpMSbUW16I7F0K3vxiLaRDoAHLK+N4ea9N9ZqRm4DGoQEdHGMXBBBefeA+A5XDNloqwpfF21Jx/cx56ndqt5pfQp7LY2vmcWidbuLhZnZxFu1+WdUspEKbJ+P+x4hFCZGKocVAxVY3YQAwjUt+D2WVMmarQIA+0MW5DLCQSohAkdxJiIRuCvq3ayIxILM/YcZDbSZR6TsQNfMjjsIIZNHudHyT6zuKJaBBrszA/rkTrdQp/LRBCDJXa2xzDqxnvUl9hEeNDJDokNtcAnwZLeBqBB7nTW5zIRHETJsNlmuA7jPW4ZjMhMCYat9iFrw4mREMrNvvQu5DWRAI95rGSmzAzqL8+JMHpC5dahpb3V2lFc71C+YPfMo1W1W1Mv0MXsD6LCcGcecckum4gi4neDrtYbKex3UiIi8pK/syTz1482+VutuzY1AzftJhYiIqL1YOCCCkwSD+7fwwfxp/B9VSbqdXzr/vsYdAa5IMqFANpNiSgp77Q/PJZa3il5F7fLiuBNyFCZGLL9QBFG6wec7aNjYcyWteBkSxkwu4i7pp1I1HabzvXWeTSpmtY6OOHNqpAsC7+KOmTpwJc1LUO6fbgEg8syDO5gPl6ODIkaGblfVlPLREkAJR5qMgESfWfe/B2dESLBlOyxAXlO5i4+eWxTCPH4vHVWWkNrixOkyUqVvLKPa9ruzMvt1Dpjxfr/cSmHpcjzjaBLbW9Nkv2h7sAmoieOrxp1CKHJ8/su75cq4OstjycBDX8J1hS/JSIqdJ4M3JSbWIiIiNaJgQsqSIdf+C70De2leM6/B/cfsCAUbaK7i5jdv9dcg2lK92K/mZUsjNGiAYz1NyLQ2I+TdeMYXZa9QWSR8iZmFtacmx2RVvppNZnKocidxuvpsLO/rKbdYScBlAY7s8JMaogNVY4qhkC0KsuAohJIaDCZEfZkSmSl2VfidzJKumbsclkTCKohP+Rxckeg2tSTiZJGPd82lcXhHE8yQcxqInqSpAV0/e77pQ74aumZbEREtBI7A3eDY50RPdFmcb65EpWV7nTmilm15V3Bmcoz1v+Xu3Im9TlVZtluvWbPv4rm87NqXo5hz1PhYOCCCkwpvNWgvEqtFfce3DdLluQD3N/zFPaYRaKNiA6cXTYuhQzc7Q7MHcWAJ8MiOTqKcZONkTK+hRo3A55lKmgyBoOnk19KJKnyJmpJZzIIKcMUaWhNK/0k7T0IqaCCjB3hZlio7dOCFHKnnLvvtdBfVgd7Uu+wU5kYg5kCE1pt9zDa4GZSuMz+Vi2OLF+O7dJP2YINEgTRc77qOmB80pyP1LN3Vqg7sM34vERUICaCMkj3aef9Mu6+kWIw0oDW9DdSIiLKSv/d18MyUUQZHULnhSlMTVnThU7c6shNJ3++He03z0mmfqCj8lXkMs5Qc2oKQyfKzNL6SNBj+wSIyIuBCyo41b7DuHHtx2bQ7ev46YfAc8+VygocvnENl8wN7ZNXrRV+f+a74omySY6iQ41VoaezOImxdh22sMexODsOzIbbUd8xal2HAbSr8lB6+/ZoAAP9jeq6C1TVYdwe36K+HdHAAMyuqND5WjAk5aFMeZMu9Kqawuru4Vbri6LJOmgar8OwavcObm3aVcd+LbpVeaj0dnmILq/UJB36aqDstQ9SLV9W49bDUu6wq+1Gb7mnJIvZnztgt3QamtJNKmvDHZy7trsX5U6ZKWvKWFfKh+JyT4kna9IDgOvAh24fxIydmmK9hq3O+URR4pSKsl7D022YsccCcfZDRE+W1IH7ZQweGStH+FpazXuQta5pHHXDmbO8iLYO8zmvyinqzzZ+dtHm8UHuB7EH51bkbzn9x6D+u5KIMit7Hi9VJLDwpCUS1JzCVL8PfSOMFtCj2fHpJ0ufm3mibWUu+TEOlD5rlrRMbZkkL53DDz7Uw24ffuUdtFarWWDyPXS+f0PPH34FfS3f1PMrkGM+vfsZs0S0uR4+fIiKigqzRLS5pqent9D1J502Mri46WCUrBQZtJxlnp5YW+v6o0LD64/yidcf5ROvP1qPpaUlM7dxu3buMHPaWvt9Nmr65g1UHDpslnJNSkUFgbfeg0oemD2P5retxaET0LkEUo6pAxfVvGRm6O2kZNLb+B5eutyBvmmgovMChopHUNmht5Rsh1M1albSC5x2dx+y3x/hgNmfkCyEq0f042Tefojat9lIjnus76aar+jsxMG+ORyZOgX7UDbvvlxyzKtq+yJ1/t0p+7WX05+b9WzQb47h3S71GPI6HjPb28/f+9q5z8P73KxGXJDXWl73Y33QD089nv18rZ1iKvUJUY6s53eMGRdUkEpffgN9anBuT9BCVL/qtK8laEFERFuFDLA942ZcNIVQvpaBu4mIiIiIiDbNTfQdM2NBLAtaSEe/XUbqO7j89nnYyRjTfT+yNpZ1/TjYdwyVV4+YskxHcfFds50KWgD93n0ck1JUNTjeCVz+yN7bFVy9eBRHatyggy7zdAEvXQ7qEk/Wvo71+Zx9vYWfOEGBXHOf2xQudCbQsUpdpytnjuHySxfMOdvBjBqcMsv6NRqxnqUuMWW9RLqUlR20kNfd3lbKWqnjXcGI5/kyaLE1MHBBRERETwRfy5A7oLY1qSpZREREREREW4Y9xkU/jk7/BE4sYXYBt3ARHfYA15IRMD2HRbO6orPbZEsU4UCFtY/jpmO96ADsHKjZhQSO9nsyIspO4LWjF3H1ilSl+o5ELkyA4ypudR63tpvFwi3gYoc5ZqVkMdzEnHXQ9H2Vnfgejpr5Nas4YJ3t6tznZo5z8aoKOmSmgy6v2Q/wkIwJ/Twk8yJLCa7FOet17cMx+3WWdIxbC9YrIa+r9fo3u8Eiyj8GLoiIiIiIiIiIiIg2TQ1OpY8DIaWM7Dv+1bS8LNOGyXgakEDJLM6/m8BLz9sd/57Bws0kyQaLc6Zk0gbNnv8RLh4sNtkkOSQBngwBEVXmae575jlcQOdKFe2kDJTn+apMDOu/E0PW/FvA2xLQ4GjeWwIDF0RERERERERERESbqeY4Om91QPWRlxXj4HQfHmU867JiHy52SGkoY/Y83jUloay1OPGaD5dHRnD54PdMhkMZig/ezDiIds0RTwkqiwpEmPnV6LEifOg35ZbkvKbtbA/r/x9dTg2KuOvMcY4eyR6wUQGYPryt6lm5JNBSccCEM2Y/wmUz/sUykqFy8Ue6HFYmZScwJNkwK2Z90GZh4IKIiIiIiIiIiIhoU0kw4agJNtTg1IVO3HLKNm3grv+aU3qMCPvxx36Cly54sjZqjuDgxYs4qCMZSs2pCyp44hyz0gQ+rH31H3RLKr2N76xYKsotN1WJY5e/gwvebBEJ0MDeVxBzBw+ZFVrFwTmd5WA/dsXxJSQzwozzYR4jL1ONDOJht709h4OejAsVhJHzkzJQEpiQTBd7nBFrataDeuCMWZZSU/CW3KK82fHpJ0ufm3mibWUu+TEOlD5rljRpy4edX/iimSMiIiIiIiIiouLiYjO3cbt27jBzWqa+oFyavnkDFYcOmyV63CQ74210YyjDmBX0ZFrP7xgDF7RtZQtcPM4PsEzkmE/vfsYsEW2uhw8foqJipeKNRI/P9PQ0rz/KG15/lE+8/iifeP1RPvH6o/VYWloycxvHwMWTjYGLwrOe3zGWiiIiIiIiIiIiIiIioi2DgQsiIiIiIiIiIiIi2lRlJ95jtgVlxcAFERERERERERERERFtGRzjgrYtjnFBxDEuKL9Y45jyidcf5ROvP8onXn+UT7z+aD226xgXfxwJq/krx19XP4kod/75n/+ZY1wQEREREREREREREdH2w8AFFajrGHzjTXSq6T1MmlZNrxtMbSTKLjqA+vp6dIwmTYOIYsBqk/b6jlF419jb62nA2tJIjqJD2gacFsPsK30/RJhAsKoKVWoKWks2b3szwgnTnAij2Wm3pqB5RLZ2xeyrOQx7NytLINzs7qtZHVzaPOexERPBtPPKAXnea35ej4O8tt5/tywyPffVzl39m65h30QFz/ue5X2f8r6PWlNe3yuIVmOuV+9nhfdzItNnhuezJRFuNp/XrkxtRJnx+iMioseDgQsqQBKYuIan//Qd9J2T6VVUmzWTYQlkWH8grS1jiQjRgXrUx4rQUgbs31tqWqU9hqqxMYyNDaAFYYzZsQgJWpwFTqp1MrUjYDUnRztQHwICdUBZ0V69rVBBjhiK9AHgHoFIOtuiCMRiiMWG0eaPIKq+/0l7F9Ar7TEMtwGhEfPFcHIcaBtW7Wrqrl2xXX2prIqipM0PlBfDp1tXIMduwnidu6/W+RF2nj+q2gAaItGU11H9m9VVZ/838bVgKNYN8y9JRFlMBHuA0/r9qrchjvFJ01E2EUWkodd9XxxqWcN7IFE++eGfGXy0mwSINozXHxER5R4DF1Rwkpeu4f6LR/Fyhh7g6hYdyDhololWE2gfw1j7XizO1qFKIhBGoF0HJIC71jo1Y0lidPQ2Wgbsda7Sxn6M9VcCt8sQqPRcnIF2FdzYa+2kznsAIvjQMmQ6phOTGI83ICALEyMIoQ3HTY+1r7hcz1juzMdRXry86y1bO2q7EYt1o9ha36B2vgo5D+vYp1vcfdV2ezrPJyUQIncvu3c1qzvqgkGd8ZGeVbCK1LvxPFkd6s6+IIL2XdTeu/xknTqHKjSPzJtGiwrSmHazT9m/3aYmOT/PdunPw223Mx30OQWDep1+ep67uIPe7CpPe/pdidYrGGiwA1MiAR23MK+z95ycx8r+mHFBtJra7iHot6wJRCN+5/cqsTADf8k+NU+0PZSjtbUcoZ70zxCizcDrj4iIco+BCyo49x4Az+GaKRNlTeHrZg3RBiXv4nZZETx5Eq5oDONlLahXaRVTiM7OItyeoUyUIkGO/fAkbhhJ3L1dBm8iBpGYCJrOanXDsA4QTEQj8HvuxJfONzMHmY10mcc4QYJs7TZZ78ea+u/uzCOeNTMjjtB8QN257M0CEfEI0Cp3NNuZHrmgd2odbxhtCEEfLoFwTwjlJhulFRHrrEz7oCSp6PYh1Ys5gZFQuWnrRYP1X6+cnwrm6O1ivdYXdPM8fC1DTvtw2wwGnYBK3DpKq2qXh08EuzBjsluGS2asdVpCn4DeR4Y7u2sDDYjYkQsVIKqD7l+dQHCwBMP2sevG0eMcm4hW4wYdJYPNDmLogG481KTXLQsmEm1Rtcc9n3lEm4zXHxWImdmP8b8Pj+D/N3kdn332mWld7vPPPzdzRLRRDFxQgUniwf17+CD+FL6vykS9jm/df5/jWdCjubuI2UxlnGTMCikL1d+o1iWnokDLgCkRNYaTdeMY9Y6LkTUAki2gQYWuttt0dLfOo0l1rOkghDd7Qjrf9F3DkqFhtpfOfCedP1u77Q7m4+XIlJCRzg2SZOJHm0kD8VXXwT+z4HQE+tuO576kkd/OOvGhus6PmQU5mvVcPNkotcfbrLMSPhSXR9C1pgwFyaIwQZ4uO+wg3IyJppAOh2ju85bHLsw0oNX0jPpaWtGg5qz54nIVPMqadOIpF5VSJiqxgJl4CE2eY8fn78gaIloDJ+g4XIJBz3uA8/5qTb3l7Iij7cL6TG9tQGSQwTbKB15/VBh+85vfqCkxM4uL/2cEi4t/Z9Zof3/vHj748Ar+5sZN05LmZ3+BVxr/xEx/gZ+Z5s3xS4yd/M8Y+6VZ9Pjlpf/sOS9r+ouYWUOUPwxcUEE6/MJ3TSdzKZ7z78H9BxzymDYuefd26rgUQsamaF9EoxnDIhvvuBjZAyArZHQQiX0lpgNeeLMjUkufbIh0jPtLsJaEC1WWyhOQ2HLkuZjZdLqTMoBolV0qah9K/BLMkICAZEno4Eoi3OOO4dFrhx10JoU7roj7r5FKgkBmNp3J5AhEreNlvLvbLheVViZKsly8dfhlymXmClGh8BXDLaxHtI3Zd72vcmMWy6HRY8HrjwrA7x/0oa72W/h//qt/pTIuxv+/H+DWrQR+9at/wv9nfAI/+9nPUfnv/i3+8A8yDJ76y0vo6gVOjv4feF+m/60If7+RyIXs5+QlZIg/PJKy1j59XqN9aJ3rxX/d3KgK0TIMXFCBKcVTu80sUU4kMRWdTQlAqIG2R4swkCFoMbt4V88kRzE6njouRjQ2vjwAYpFMjYwBDSpcagwHt3N7YiTkKdEUh33DvZQfijS0OqVPbNL5HnJKDbkytcvd/dnLP6UxX1a9pYomgu44ELkmgRInu0DG9sgWFLD5qq1nNw5n7F153fSsUYtuqWMl+5RyTOVuQECXj0qVLcNEslwySx2rQv376FlHbbeUtppHppwJVS5qsMdTJko1oiHCwTCJ1i91HBj1+5gpSDsRRFfEjCFEtC2Yu95Dns849fnnzRyScohZxrcieiS8/qgwFH3ta/h/NbyM8vIyVRJq8qO/QuTSj/Hlf/2v8R//+CX8m3/zb8yWae4tYvbbf4RvmEV8/WXUOwtbydfxhy+UYe5erkMjROvDwAUVnGrfYdy49mPoHIvr+OmHwHPPsUuY1i86IONUtCM8C4yfteYHoiogEZKG2TDa1TgWpt1S2tiIuvGzuq09ioAZpFsFOqy2s+PysHbUd4zq61OyNqz2dn0Aaz59TAwqWL4WDEl5KFMeqAu95i5782XRjFfRNF6HYdXuGfjZblfjKGRrl4foAZ9V2aNIlzW/ljJK1vGHelFu14W3psGS08sCJytSx81yLHUe5nylppIESmZM2yDQkC3RwSGvTzlCTXof0RK7VJTndWgaR52UdpK7r73HMwNxS5kraweqzdrUyXRRQQXzug/OZD8RKU81Y7brsb7G2zkbznglVU0Yr8tSOkuCFHHr38MzhonViG4Za8M8J5mylpsiIg8JVEp5KP17477/ecrByaSSqfQYQkTbhnw+pnwUWZ9/p93PH51JOKzGXrI5Y7pYk848zNxGtCpef1Qg/sW/+Bf4fZ8PX/rSl0wLsPeZZ7Br1wpdrd/4I3z7L3vRdSlTQEDKOGUu1fSzv/gT/NdLl9BltXcN/e/o+l/CmJ0No8NatrMiUko9ecs8eUtT/cXfmMbV/BJ/fQ144Q++bpb1OTj7sbM90jI/ZBv3ucXwX80672MzP3eizHZ8+skSR4uhbWku+TEOlD5rlrRMbZkkL53DDz68p+YPv/IOWqvVrGMy/CZu+Za3ZyLHfHr3M2aJaHM9fPgQFRUVZoloc01PTz+5158EUKIBp+ySDODbg9MZMy+2JgnGyGDDT26H6xN9/dGWx+uP8onXH+UTrz9aj6WlJTO3cbt27jBz2lr7fTZq+uYN/HEkrOavHH9d/cxkfv6X+Om1KHbs2KHKQt2c/gV++9vf4rv/8SX8braMC0UCFJ0YnAW+3fV/4H9WGRe67doLfeh9WQcLpLN/tEgvy/zZuRb0n30Zaq0EDH4IfN8sS9DiB3g95bE/r7T2vcfa7n+J4oX/7X9FvaySIEbvbbTayx6yjw45KaUsZRt1fHTh/f9UpZbVtouvWMvAf238Of5o9D/hGypQ8T7mENDnJcea+iO8/8d/n3KuRP/8z/+MikMZSqllwIwLKkilL7+BPjU4d+bgRHXL2oIWRET0hPJmc1hTU6jcGVR7y1NZK12INAR4lzgRERERUY4lZmbw4U+vqqBF3f/wLRw+VIGX/sdv4wtf+AKuWO0SwMju66g/K+NISFqnnTFxH4towfdN4EF8449bgGt/42QzfPuV7B3/9xZnMTvY6WQ1nP1L6DJP9xaB1tfdIMU3/hitZWY+A3uMi5PfnrUObR/5l/j7uTqcNEEL8fWXX8G3//Ln+Bmq8EffHsfP5Tn87OeYe+EVvGA9E7lN+Jf3buPbldZjvv4MDkh2CAf7pg1g4IKIiIhoGSl75RnwejtlLpiBvjlINxERERFRbt3/h3/A5PW/UvM1R17AM8/sUfNf+crvquDF//1/f4a//psbqm1lVfifu+rwl1O56dCX7A09sLaeJPtCggcb8Y3/1IUDg/8Naxmb+xuV+jn88p6UlqrCH75wGz//mZSa2o8/Utkk1vOUc6r8OUtF0boxcEFERERERERERES0ir/62c/VgNz/vuqPsG9fsWnV/s2/+TL+x7pazMzM4tNPPzWtHj/7C2dMCuEGFnajCGH8wNOp/7P/FpZIwJrKK+0pKsNfvu+ONWH7+h8EAG8A4mf/TZWoWl0V/mPrbZxVWRJfxzMHxs289stL7+Mv7UHGZdyOuZ/j/71YhD+0TlaOOff+f8G1A55ByMU3/hPe/99Ss0iIVsPABREREREREREREdEq/tX/41/i9w8ehN//+6YllWRe/A/fehF/c3PatHh8449R9L47UHXHtQD6VQkmKR8lWQ6eck/ocsasWObrf4AX4A7O/fWX/1ecPKCX9eP/M8YkOvD1l/F9CUDY7VNFK5aK8tLloHrV/r/xn/rQOtfrnJt73qIKf3RgHHNFJsiizm0WB6RMlJDxOOzjy3gbf8qxLmjtODg3bVuPMjh3LnFwbsonDs5N+cTBGSmfeP1RPvH6o3zi9Uf5xOuP1uNJHpybiDZmPYNzM3BB21a2wEU+7PzCF80cEREREREREREVF6eWUtoIBi6IniwMXFBByBa4YMYFFRJmXFA+8Y47yidef5RPvP4on3j9UT7x+qP1YMYFEaVbT+CCY1wQEREREREREREREdGWwcAFERERERERERERERFtGSwVRdsWS0URsVQU5RdLBVA+8fqjfOL1R/nE64/yidcfrcd2LRW11jI2RLR+6/kdY8YFERERERERERERERFtGQxcEBERERERERERERHRlsHABRWo6xh84010quk9TJrWybDdZk3h66aVaAOiA6ivr3emjtGkWWFJjqJD2geipkEkMdphb98Be/PkaEfKfpbtiwrcBIJVVahSU9BasnnbmxFOmOZEGM1OuzUF9SMmgp42M5lVaY/x7CsD2Y/zOCMRbkbzSg/aIrbLeRJRriUQbs78Hud9b+T7A20H6pptDltXNVEeyd+OvA6JiCgHGLigAiRBi2t4+k/fQd85mV5FtWl/8NTrpu0dNOJ9/PkldhDTxkRj46g7OYaxMT31N5aqdhWICAGBOqCsaK9qE9EBq7FNb3uybhbRKX3tlTb2O/sYGzuJOpQhUKn3RYVOOtuiCMRiiMWG0eaPIKqCBtLeBfRKewzDbUBoREcTEpPj1nU2rNrV1F2r2mu7zbJM1gP8aEBAVskXzybrWh621w+hxaceklFtoAERfRJGAnLIuuoVHpTJRNAJqhARPT7yftmE8Trzvthb7r5fhpvRhV7nfdFa4QkOE201+oaFaIl8hhNtNnkvXfnmFiIioo1g4IIKTvLSNdx/8SheXtb3+0287Gnc89QeM0e0XkncvV0GT1zCoQIR/ZWAtd4bgAi090PHNqKIjWcOTkQHzuJ2S5vZjsiHlqFuqNBDYhLjcRNsmBhBCG04rmMS8BWX6xnLnfk4yotXCiJYXzx7Qijv1fudGJH5lYMVKWoDaIhE3c49OS/UwY5bZL572ZMdInfnSdCiKwJEuqw2+0tw5gwSleERtLa395eeUaKyUOTLtKfNExCRjknd3oyRedMoUvbjzWQhoieKeo9qw2n7TW5fCfwzC9a7xgSstz+0uW+kcN9JibaiWnTHYujWd2MRbSIdAA7F4wg1pf6dNWn/3cfsCyIi2iAGLqjg3HsAPIdrq5aEuvfgHnY/xR5i2oi7WJydRbg9W2knWb8fez2Xl1sSKoaqMTuI4REdwNnbLWhj1II8nEBAD3A6ZoIN0Qj8ddWwYw2JhRl7DjIb6TKPyZDRkAj3IFTeC52IMQFrV+72q5SJ0moRaLAzP6RPUKVb6HOZCGKwxM72GEbdeI/aXyI86GSHxIZa4KvtRqy3AWiQO5110GQiOIgSO+tjuA7jPe4X4MhMCYat9iFrQx1o0dvpXchrIgEe81jJTJkZ1M8jEUZPqNw6tLS3WjuK6x3KF/CeebSqdmvqBbqY/UFUGO7MI15eDN9EFBG/G3S13khhv5MSEZGX/J0lmb9+tMnfaiabF/EQ5gPmby+EYJLZiIiI1oWBCyowSTy4fw8fxJ/C91VJqNfxrfvvY9Ae5MI2+R5G77+I/8C7lmhDAmj3lHfaHx6DdzQLJO/idlkRvAkZTkmogSKM1g+kbm8tDZy9jZa2RjBsQV5OiafWeTSpu9l0cMKbVSFZFv6SfdZclg58m92Rb3/hlI47FTzQj/GWnFqJWy4qtUyUBFDioSYTBNF35s3f0RkhEhzJHhuQ52Tu4pPHNoUQj8/DeqjS0NriBGmykiwO57im7c683E6tgj0ScDneZhfXuIP5eARdantrkuwPdQc2ET1xfNWoQwhNnt93eb9UAV8JYJjNVEDDXwJ5JyUiojXw29m/PlTX+a0/pfiXFBERrR8DF1SQDr/wXdMBXIrn/Htw/4F7R7waoDvhQ9+b9jZEOXZ3EbP792a+vkr3Yr+ZtSVHRzFe18gSUZSdlDcxs9Y3Rag4hSJZE/41jTEh2QpuR35mOgCyCrtcVFqZKAmgNNiZFWZSMRLJsLDmA9GqLKUEJJDQYDIj7MmUyEqzr8TvZIh0zdhfmCcQVEN+yOPkjkC1qScTJY3cWW192ZYsDud4kgliVhPRkyQtoOt33y+973fpmWxERERERPT4MXBBBaYUT+02sxlI0OKW7x30tXzTtBA9GhmXYryuCgGzLGTgbndg7igGPBkWKkjhzcZIjiIU3o+T7d49UMGTMRg8nfwSdFDlTdSSzmQQUoYp0tC6bIwKVRLKE1SQjATp6HfqvNucTANd731tg2zrclGDPZ4yUdIqmRiD2Wsc13ZLKQE3k8Jl9rdqnSrJ8LBLP2ULNkgQRM/5quuA8UnP83NWqDuwWdKAqLBMBGWQ7tPO+2XcfSPFYKQBrenvj0RERERE9FgxcEEFp9p3GDeu/Rg6x+I6fvoh8NxzpUDyx7iKV9DK8lD0KJKj6FBjVejpLE5izAQd7HEszo4Ds+F21HeMWtdhAO2qPJTevj0awEC/XRIqidFQGPtPtqcEPojga8GQlIcy5U260GtqCvvQ0trgZB00jddhWLV7B7c27U7HvmQkzKDtdFpHf+1xVZNYH0NSFtY+SLcEKeLxtEBHbTd6yz0lWcyg1+6A3dJpaDI+VNaGOzh3bXcvyp0yU9aUsa6UD8XlnhJP1qQHANeBD90+iBk7NcV6DVud84mixCkVZb2Gp9sw44zt4R1InIieHKkD98sYPDJWjvC1tJr3IGtd0zjqhjNneRFtHeZzXpVT1J9t/OyizSPloLBscG4iIqJHtePTT5Y+N/NE28pc8mMcKH3WLGmZ2jJJXjqHH3x4T80ffuUdHayYfA+d799QbY49L+L7q5SMkmM+vfsZs0S0uR4+fIiKigqzRLS5pqent9D1J502UQTsMlKSlSKDlrPM0xNra11/VGh4/VE+8fqjfOL1R+uxtLRk5jZu184dZk5ba7/PRk3fvIGKQ4fNEhHl2np+xxi4oG3rUQIXucTABeUTAxeUT1vti2si3IwmZ/RtqDE17LHG6cnDjhPKJ15/lE+8/iifeP3RejBwQUTp1vM7xlJRRERE9ETwtQy5A2pbE4MWRERERERERNsTAxdERERERERERERERLRlMHBBRERERERERERERERbBgMXRERERERERERERES0ZXBwbtq2sg3OnQ87v/BFM0dERERERERERMXFxWZu4zg4N9GTZT2/Ywxc0LaVLXDxOD/AMpFjPr37GbNEtLkePnyIiooKs0S0uaanp3n9Ud7w+qN84vVH+cTrj/KJ1x+tx9LSkpnbOAYuiJ4s6/kdY6koIiIiIiIiIiIiIiLaMhi4ICIiIiIiIiIiIiKiLYOBCyIiIiIiIiIiIiIi2jIYuCAiIqInQALh5ipUVQUxYVqIiIiIiIiIaHti4IKIiIieAHeAumHEekuwkDBNRERERERERLQtMXBBBeo6Bt94E51qeg+Tqi2JS+/YbW/izy8lVStRziVH0VFfj/qBqGkAogPWsrR5Jnu1u64Do7wsKcUEglWSZZCeaeBtb0bY25E/ETTt3sfY2Qrp23v3Y03NYWvLlaRtv6nZD/uA8SZUdc2j2GeaViOvRTA3ZzgRrEJzygtNRNuD9/0v2/uoNa36/kdEVKjM+6X3b6pEGM32+6Z33ub5GywRbl72N1SmNiIiKjwMXFABkqDFNTz9p++g75xMr6Jatd/HUy/Yba9g94cXwdgF5VpytAP1ISBQB5QV7TWt1nL7GMbGzDTQgjLUoSpgrYgOIFal261mhMfcYAcVOulsiyIQiyEWG0abP4Ko+v4n7V1Ar7THMNwGhEbMF0n5kqhW6XWxWDdq1fZNGJdsBWnrLfdsH0Wkoddsa01DLVg9JtDg7L+3IYLBTfvS6UPLkP2cNl9tdwxDLWuNmBDRVpEIjwCnM7xnbej9j2gLydRZTPTY+OGfGUy9WYaIiOgRMXBBBSd56Rruv3gUL5eaBsc3Ua0jGJZv4uDhe/jHe2aRKEdKG/sx1l8J3C5DoHLZRWhJYjQUxv6T7ZC4BQLtaFczwN3FWT1DpEhHvemkT0xiPN6AgCxMjCCENhw3vfe+4nI9IwGKwRm0Dad17Mtjre1P253u+0qsL54LqqMjsTADf8k+3b5B5Sb9QTISlt+5LEGTZgSDzWZdtmwPT3tKxog1qX2l3hnt3KGnOm2CCHrHvvA8PuiNA3ra5fHpd/rJ+esbAzOfF+8MJNqefC3d0G9/CVhveY5cvP8RbR75PLU/m6zPO/n8awohHg+hyWrLUXIh0QrK0dpajlAPg2VERJQ7DFxQwbn3AHgO15ySUJ3h62aN13XcunEYB51ABlEu3cXi7H7szRC3SI6GEN5/0glWuKKIjZehpX7ZCipgTjCgR24Y1gGJiWgE/rpq585g6XzTMxLciCPU5OnY0GtS3ZlHvLxYPf7OfBzxUJPefs13bUbQpfZfha6ICaZYJCPBvnO5tzwEO6kDiFuPaFXt3uyQieAgSobNY4brMK6+CNvBF2mXLBM/2k7LXdC16Db7jsV6UR4acZ9bPAK0Sru8PhMIdrmPL5mx1imyXzcTRTInfNV1wPikec4TiJrnkvm8iGjbMwHgVhPE3dj7H1GeTIy4mZPyeedrwZD1oer3t2HYautOuWOB6DGpPY42eP/GIyIiejQMXFCBSeLB/Xv4IP4Uvq9KQr2Ob91/H4N6kAtg8j0T0EjgoFNCiijHkndxu6wIbqEoIzmKUHg/Ti6LWiQx2nEWONmPxkxJGlSwnGBA6zyaVMeavmPYznIQ0vkmdw0nJseBNrtTw1MSxVeNOutLptyRqTrouiLOXcbZgw0rcUtFxXqBLrvDT+7+dAIaakPDjzaTHiLBAp3tIc/DE2RRd43Oy/DbWUnGg9q2qgupu3ezT5BYwExDq7m72oeW1gbVLPPF5RJw8QRz1Osyjkk5eVUyJgApq7Xe8yKi7WACwaZx1Hky0jb2/keUJ/tKYH04MfOP8kz/bRUZZLCXiIhyg4ELKkiHX/gudP9vKZ7z78H9B2Ywi+pXzRgXPtx64003oEGUS3cXMbt/r7kGXdGxMNBSr0tEOaIYqG/HYuNYhiwMIkPKO5lZCQS41U0kU8CPumo3kOGlAxz22BAy6SyGbNuvW20ADapjP4Fwj3QKmk5AO16Q1R3Mxz0BEDVJh6IEGOzAQRNC5SYIkQijZ7xO3VUqGRdZdy/ZJGY2ne6kDCBaZZea8kEnXSRUFkuDSh3Jdl5EtG2poKpkUg2ZoCbRNiQZFtZn0mn0WJ+PWTIqiTaDnXWxyvdoluMjIqK1YOCCCkwpntptZlf0TbS+chg3EpnKSBE9mmhsPGVgbiU6gLO3W9DmTalIjqKjfhRFAwxaUBo1doN7N9vESMgp7ySll+ZNCkAiPIiIk2FgrXFXYNBTxsk2EZRBuk8v77ybCKaUfVozyVTwlyD1a2lqHfnMahHIOLD3BKIzuuyFChpkqn0hWRVmdhkJpESipkNHykOl5GZYatEt9arM66TLRfV4Xqts50VE25KMbdM0j9bYCkGLjb7/EeWBr2UIvQ0zWODHFOWNyboIWX+bmhY7u9fNXJvASCiekiFMRESUCQMXVHCqfYdx49qPoXMsruOnHwLPPVcKTF6He2NIEpeu3cBh3zfNMtGjS452oL6+HmfHgdlwO+o7Rs11GMXA2dtoaWv0ZGHoQbpnrf/C7fXqcfX1A9aWRBa5s1LKQ6nSSFXoQq/pxDdfFrt0e5NkIZjOfV9LKxoiXabEkV0SxTuYZxUGS4bV+A6qU9/TXtUl4z+sNbPAHeOiSsaTUGNQ6OwFO1Ni3JMfkk1tt4xVYerLy6RGFt2HEm9ZK2tSzd5yV9Zzy777WhxvmzHn1wPU2bkZngG35bVxRjaX/cYRV2WitMznRUTbj4x5I8FLz3uWKbm38fc/ovxwyyXK3wTmhgXPZyM/qmhTSdZFyt9i1t+np9swY/4+lbKeM23DKWOvOGMKWZNd8ixTGxERFZYdn36y9LmZJ9pW5pIf40Dps2ZJy9SWSfLSOfzgw3tq/vAr76BVBrNI/hh//sMPoVuBPS++jj97Ob2Yz3JyzKd3P2OWiDbXw4cPUVFRYZaINtf09PTmXn+SaSIDkQ9JMMQid0tHA5kzLzaZdBr14LQJ/NBm2PTrj8iD1x/lE68/yidef7QeS0tLZm7jdu3cYea0tfb7bNT0zRuoOHTYLBFRrq3nd4wZF1SQSl9+w4xlYYIWqvG7+DPTJtNaghZERLSJfC1oLfcOJD7jDOydP/ru7KYQcjc2CBEREREREVGBY+CCiIiItg09iLY9bYXBdO3BzTmwLxEREREREVGuMHBBRERERERERERERERbBgMXRERERERERERERES0ZTBwQUREREREREREREREW8aOTz9Z+tzME20rc8mPcaD0WbOkSVs+7PzCF80cEREREREREREVFxebuY3btXOHmdMy9QXl0vTNG6g4dNgsEVGured3jIEL2rayBS4e5wdYJnLMp3c/Y5aINtfDhw9RUVFhlog21/T0NK8/yhtef5RPvP4on3j9UT7x+qP1WFpaMnMbx8AF0ZNlPb9jLBVFRERERERERERERERbBgMXRERERERERERERES0ZTBwQUREREREREREREREWwYDF0REREREREREREREtGUwcEFERERERERERERERFsGAxdUoK5j8I030amm9zBpWh2T72VuJ1qP6ADq6+vRMZo0DZbkKDqsNmlX00B05XaRsq4D3t1RoZtAsKoKVWoKWks2b3szwgnTLCaCpt37mATCzZm3nwja7VUIugdYkfcxy47/mKhjrvUEiYgc3vc/7/voxt7/iPJJXbPNYeuqJtqK3Pfb5s3445CIiLY9Bi6oAEnQ4hqe/tN30HdOpldRbdZoSVy6dsPME21MdKAe9bEitJQB+/eWmlbr6pqKAi0DGBsb01N7YMV2FbRojyIwYNrH+tHo7o4Kmnz5s66NWAyx2DDa/BFEVceatHcBvdIew3AbEBoxPW4StFCr9LpYrBu1avsmjNcN67becmd76QDpQq9ut3Y0M7h6Z0jKY9Tj6jBuH39Fch6pnYbrUdttHau71iwREa1NIjwCnNbvV70NEQyazrREuBnRgG4fbvMjot9gibYofcNCtKQNftNCtOUkJjGONgxb76tDLT7TSERElB0DF1Rwkpeu4f6LR/Fyts7fyWv4hf9FHDaLRBsRaJfgw14sztahysQgxN3F2ZRAhi1be3QsjP0nGaygTHxoGZLAg0W+CMYbEJCFiRGErC+Fx00fvq+4XM9IYGBwBm3D5jE28yXytP0Fcl8J/DML1tYTiEYa0GsHA3zFKI/P445eyiwRxuCM9YXUG0DwtWDILEtQIxjUGR/2nXbSOajvaG6yzrsE+1SrdMAErW3tu529mSHNVrv9GDebQ/Zj79N7HJmcO6Wt82s2bSn7TWlf/VhE9OTwtXRDv/0lsDCjmhRfyxD0W1cCk+NxNKg3WKKtqhbdsRi6U+/GItoc8ndUs/V3m529Jlk/Toav+ftJtmkKIR4PoYl/UxER0RoxcEEF594D4DlcM2WirCl83awR1zH4PnDk5afMMtEjSN7F7bIi7DWLVgPu3gbGz6aXg8rWHkVs3NPOMlGURpWEkC+FPXLDsA5ITEQj8NdVw76PLWH3xKngRhyhJvOYtJIojjvziJcXO493JBYw47cDC1lke6xHZKbEvdPO+lLbNF6nlofbGuBHCD3ON9kIZkp0Foj3Lmggbq1pNXdBe7JJ0tjHifU2IGIyRSZGQig3mShWMxp6TcZJzzxaZVu1PdDlRDrWdiwiegKYAHCrHcR1Ot3UG6wJYhARUUbxCKw/pqy/mYbRZv091zSo/w5z/n6SG1msBb9fMi6GTMCYiIhoZQxcUIFJ4sH9e/gg/hS+r8pEvY5v3X8fg2Ywi8nw+8Ar6aWjiDbo7iJm9++FmyxRisZ+u+TTAFpuj5pARJb2aAzjdSdN+xgGWoDwmGfsCyp4qjySdLa3zqNJ1bTWdwyXF7vfBu/Mx+Ev2YfE5DjQZspBWZMTDPBVo06+YKoOOmvqiqjt5e7NgLVNl90ud8mtEpRwgiTCO5aGp952Q2tLSlBFL09gZD6AodYGxOftnA63A7E24G33o82kk/iq60x2yHLOcWoDaFgxU+QO5q0v287ztJ4/nH2u7VhEtN1NINg0jjpvRlptt3m/bMV8E+8OJiJakd/O9vVBkn3tv8PczF8iIqL1Y+CCCtLhF75rOpNL8Zx/D+4/SCJ56RyuPvU6Whm1oBxJ3r2NsiI33yIXcr0/ekJIeSczK53tKu6gSLknP+qqM4cbdIBDSk6ZAIgaK8Pd3gmMqECH9SV0lVIpKZ37dqef3F2n1i4nQRUxERxEiV3b6jHaV+JHpEsHKLpmzBdslUmi6y3bzzU25AZXiOgJp0rFWe9Bw9nuAN4H662DiIiIiIg2GQMXVGBK8dRuM5viF/jph/dw78P/YkpIvY8b1n+jb5zDJZbmoQ1JYiqaedwKkRwNIYwAKtNWL2u/fdfak4hiLAwE0h9AhUnVEnazGKQEkpsNEYednJAIDyLS0Op0xjlZC9bjByNmTAyPiaAM0n16WeedjB8hA26vWirFzt5wSi2tTDIpJJDQBX2OUubq8dWRlzr15e7A5HZwwpwzq0ARFSDJDGuSUnHeoIUe38bJsJBxg+Ll8CSyERERERHRJmDgggpOte8wblz7sekMvo6ffgg899zLaFWlo+zpFRy2/ms890b2QbyJsogOyHgU7QjPmvEp1JgVUQyocSr01B4NYKC/EaVZ2y2BerQgjHa17izAQbrJJnWCpTyUKW8kQYWYiir40NKqgwHSrsaPMNEGX0srGiJduhySUxJFOuj0tjINlgzrsScszvgZsp/5VrP/1ejsjV7rjOzHSokpeMbcSFHbrTI5rBNW264pOLJhUrrAUxLKmvRg3tY5n27DjHnN3HYierJNICil4eB5X1ABYXkfk/JQpq0L6DVjCBFtXdb1LNerM/gxP8uIiIho+9vx6SdLn5t5om1lLvkxDpQ+a5a0TG2ZSFmoH3x4T80ffuWdDOWhrmPwjQQOnlt9vAs55tO7nzFLRJvr4cOHqKioMEtEm2t6evoRr78JBJsXcHxTSjNJp04UAbsDUrJWZMxdloXath79+iPaOF5/lE+8/iifeP3ReiwtLZm5jdu1c4eZ09ba77NR0zdvoOLQYbNERLm2nt8xZlxQQSp9+Q0nuyLzmBbfROsaghZERPQoatG9aYGDWhxvm0kZbLzcM1A4EREREREREW0dDFwQERFRQfC1DLkDcFvT4ytLRURERERERESPgoELIiIiIiIiIiIiIiLaMhi4ICIiIiIiIiIiIiKiLYOBCyIiIiIiIiIiIiIi2jJ2fPrJ0udmnmhbmUt+jAOlz5olTdryYecXvmjmiIiIiIiIiIiouLjYzG3crp07zJyWqS8ol6Zv3kDFocNmiYhybT2/Ywxc0LaVLXDxOD/AMpFjPr37GbNEtLkePnyIiooKs0S0uaanp3n9Ud7w+qN84vVH+cTrj/KJ1x+tx9LSkpnbOAYuiJ4s6/kdY6koIiIiIiIiIiIiIiLaMhi4ICIiIiIiIiIiIiKiLYOBCyIiIiIiIiIiIiIi2jIYuCAiIiIiIiIiIiIioi2DgQsiIiIiIiIiIiIiItoyGLigAnUdg2+8iU41vYdJ05q8dM606WnQXkG0EdEB1NfXo2M0aRpEFANWm7SnrktitMNu70DKQ+zHdIxaWxF5TSBYVYUqNQWtJZu3vRnhhGkN2m3uFHQfJBuotmb7ARbvY7ztWSXCaG4OYw1brkEC4Wb3/LeaRLh5ba8JEW1f8p4m74Epb5ZEW4353Pdep97P40yfzfKZb7bP9HnGzzhaO15/RET0eDBwQQVIghbX8PSfvoO+czK9imqz5t6Dezj8it3+DlrtFUTrFB2oR32sCC1lwP69paZV2s8CJ8cwNmZNAy1WwxSSKmjRjmhgQLef3I/wWNR+AOrrYyjSO4K7JyLp1I8iEIshFhtGmz+CqPr+J+1dQK+0xzDcBoRG9BfD2m7dpiZrhR8NCNSqVfpL5WAJ2hqA8mKfaWpGF3qd7a0deYIjRERPugkEm+ZR1+aHv2SfaSPaqqzrdGZwywb76UnH64+IiHKPgQsqOMlL13D/xaN4OWMP8B48vcfMEj2CQPsYxtr3YnG2DlUB04gk7t4uQ9FeszQVtTasRGlyClG0oK3RXJR7i1B2+67Orgi0Y2ysHXsXZ1Hn7ojI4kPLUDdU3CExifG4CUJMjCCENhw3AQlfcbmeSZFAuCeE8l7zeLU8jrrTxZiP+KH75yYwEgLa3B0h055WkzFjQ91lF9R358kdeOpOPGu52WybflfepM4Ekcm+mS8le8TZXmdoBIPNZp03W0PWuY9xbgqUY9v7UZNkrngzVlIzTSSYo9ubMTJvGkXKfrzZL0S0XU0EJQh8HNYbrBPQJdq6ytHaWo5QT9pnKNGm4PVHRES5x8AFFZx7D4DncM0tCRW+btYk8eD+PXzww/R2og1K3sXtsiKYOIWlFI2N+xFu1yWh2hcb0W8HK7zuLmI2JbsiNeBBZHM673uA0zEd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FMvL7+PKfVhnk21b5LcrHscn2TmXvz7uMUdJWlyfrHTLUdzOnW9IL+Tt5i3Zn1v6XNLZlJxnkl6QJK1ZF+bd+YT3UDpfY/u491jMLFkubGcHLhd3T1bZlu76aNersnwjS7djhAX/t8Ix3LJLK14vjHstbZv0djHPZCocN/lTfN59krFl94qE7QrnYsKufhe/nfvrziusi9ukxO3i8134G96Hbr0dp9q+YZ3N2392rEJ+qbSYd+TPzb9fTPyMj8dPZpK/fj97TdLl261wO4VtE/Gvu+4k/yz/+HoaW+2OHvaplE9cX9g4+RPzMvH9Hb/H+NfX1oXHW3g8/hyiuH86r7SYnl4f50ve/yHNjvWH5P3vj2nX7PD8JK+Zpdm/+Hw4lmWy6J4Pez+GfGK6/S0+J7aDZ9vFdJdnamW8drvXJhwrfoYYd27h3GOaP2Qxn5LtbWVg68vXFY6dpLn3f7J5Id/A7VP47HCHc2yrYu5FcW9bZ+cbn+vic1e6V+XP/7CvnZdL8cuWR+E5DfxrVPz8j/vZeVtafDzu/zYf0qN0vnE58ilJmk1hu5h/3CpuUyIcx84h7mN/4/Mf5yvtm15n85Hl4c7N9rflZIqPsyCsj/xx/fvJn7PlG45vZcieu2SdzzfuVDxu/Jsu36Xvf58W9ynNxz/mJKV4XuGvbeLSE/H1iY/DnWcyH/eL52DLMWsT90/nlRbPN/5Np63//vdl1b1WsWyF84nn4iRp9ljia1A4D7eh/7vmOUnY8WK6/bPlKOYfn29j28V0277S52k6n/LtI1tfvi7uY2nu+ptaH9k+sZy4Zfd//5CKuRcVzsPWJv/Zvk/tTr7/l+UbxeunKd/X9ik8BvuTrE5vb/xrZFsVt3P7Jedr/+JxLe90ekEqX5POu/x83GLM3yUUt0krHCeZ4rz9tbz/57M/JPO+vFfet7jO5qMkKZmSc0sS7Z8d35e9sIEJx4n88fxr58/Zztef31Nl7/94LpZvzCP+tfWRpaXf/6aQf/jr0+J6y98lJfwZxG1NfP/HZbfOJ/itw/qQoZ9PlGwf5tNienp9nLfHXXINS9JiehSX4zqbbNtyfn/7608x+b+lur/FYxf381n49XG/Ir/gj+Vmw3xMt+0tT3v/l55rcZvS+Siei/trCT4zvy755z7/bT6kGZvz+5Qey8T8ypUe2+9bfr1KS+dT3Nefi/8scEkJmyktOyb9Gnn+mJaHvTdi+UoS/eOx+dT+yZ7u8ftjl+Ydd/VJ9j+fgz8HS0uEbdLc82n/ko3i+dpfex7sfN16y6DavmGdzUeF/PwKdzrlz4V7LKnXKh4vHj+ZKeRbuDak8034PPx8Ic3t5/d3j8OWEzFPW1p7LvH1C+tDmv1NbxuPFfOMr7nbK/kvrre1fs7zW6/P8ik/ls3bcxLf/0mi29CO7z7/LSmZbDtfjmxdsm3My+9kW7i/9p3dPn9iknv+kn/p/d26wD2nyX+WHPMo8vN+X7/Wz8f0ZIskTzufmJY+pnGfHYUy4A4S2Hkm+yWP3aTzNbbs0sJ6s+v/d3fxM0s06TfxH/7wh7BsJ+QfbNzOWJqti/u4jMOT4edLD2wviIkFNs2W7cMqLeYR/8b9bDly+z31VCE9vb2x+bguvV9cn84zppl4PEtJ52VT8Xnxx7L9bdnYOjufuO4P/+23NbYc/9o+Me+YXihIbt6On3o8lhZ+OJbkk6x3hSU8Dts+WeHWG9vHzucPqccYt3F/E+75+8P/uG0sH5vscfh8/HZf+MIX3HrbLs5H7vkLxy+ev38M/pj+GHa0uI3l44/uH0f6mLaNLbvtknnb35Ytv7jO2P7xGDaZ+Dh95uExptbbvpaHcesS7jghH/8cF7f97//+fwvHc9yb0o4RziF1/PjYfK6erxz16+P523MRtzfl6+M5ptP9l4Hie6DSfu4DNVm20/cXOl8e7H1l6TFPS4vistsvYfnH9bGc+zJWfByRpdlk+cf16e1sPrLleN7pxxDZsqWnpfOzv3E/W45s2ZXfkJ7e3ti8KxOyLwq2n0+P69N5xjQTj2fs8RvbxuW35v3vt7Xc4/s/lqe4bdw//rVjmphHpfn0MWKaSedjaW6bZFvLM729seXy5yduY3+NW5+8H20bCybYce28Yz62nb3nbb1NcT5y+yU//uxv+bFt2Z6fL3whvP8tUOHSivvbsh3XrpX2IWvb2LLbLpk38bnwxyqWk3gMm4w7h3XW+8dWfO6NrbP5kg/chG373//93yXHi9sWjpf6vCs+/uJzENNssv1see373z/WuN6OV75f/BvX+f1K843Ldnz7a2lxH1uO10ZLi+Ky3y8+zz7/dDmP28TtjMsnmey1j+vT27n1gS0Xzjv1GCJbtmOl+TyK5xwfuy1Htlxevv2Xo+Sck/X23MZ16f3iuaXzTJ9vPF6cT/5fyGPt+7947vH9H9dt/v3vjx+3sfn0MWKaSedjaXFbyzO9vbHlTb3/k/Xxcdi09ff/2tcmfRw7hrHgm39NLAjn2Ta2/3//t98/5hfnjS1bPnFdFI+R/OeUnkPxOY1p8TyNrTO2zm9XTDP+nErf/7Fs2WMwhe9syVR6bC+mxWPYsj0XthzPo3x9PMd0evybPv/y/eJyXGdpcZ+4HLeP4nLcz7aN66u+/5PVtkVMj9uk87LnyX1uhqfD0uJ5px9DZMuWnpbOLx4nPobIlp96ypfH8u2Nzcd16f3i+nSePs1v479T+zKbzsumP/zBl4l4LNs/nvum3/+pzyD3wzLOh21sPn2MmGbS+Vha3NbOI729seVq7/9kxm3zON//MVDp9/fHTxJKjhnzK25XLJdxXRSPYZOpdg4xLZ5nclC3zti6uF1MM7btRp//6fzLj2389c6vt21tmwd//5e+d8r3i8txnaXZOtsnLttqS4vi/nE/2zaur/r+D2J63CadV5yPbDmed/oxRLZs6Wnp/PxxiuU4suXy8h3/GptPvwZRXB/PJb2P8cfz55POy6b082LL6XO3dXY+cV3c1thy/Gv7mLhdpfn0MWKaSedjaXFbyzO9vbHl8ucnbmN/TVxvz5PlY1N8Lxrb7sHf/8VzMHGb9P62nD6mrXO/We23QNjO1ls+tmzzTnL6/hjF1zbmH5Wvj+dpO9s6Y+tsPta3eP6c/t+y3/9x25hfOv/0seMZxDSbbFtbtucibm/K18dzTKfHv8XzX7tfXI7rLM3v49PjNpYWxeW4n+Uf16fLedwmbmdietwmnZdtZvORpcXzTj+GyJYt3cQjpPOLx4mPwVjuVmbLy3f8a2w+rov7mbg+nWdMM/F4cd74PHw5dYG1JN2yTJ+7W5ecj+1j28fn0MTj21/bxwnb+dnSedsvptkZxN9l6XxsfdzW8kznYWz5C2XPT9zG/pri+98/Dpvie9G4PLbp8z9ei9P727Jd2+MxY37p7WzZ8onrvLXlsto5xDT3uoU8bZ2xdXG7mGbsOO7z3+oiQlp6W+PnfXr5sU38vhP3s23i+99Vwu8qnl9c7x5r2X7+b/F5NnZ9jL9H4rFjHZfNu+2SdbZPXI75+QySdWHZ0o07ti0n877sJuvD82zbxu2cJM2lh318XsXztvXxibNld/wkr/RjiGzZnmcTj2D7xHMrHCc8Bkn6/wNXzwdW8DO12QAAAABJRU5ErkJggg==)\n"
+      ],
+      "metadata": {
+        "id": "7eln3hr63rVm"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "   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)"
+      ],
+      "metadata": {
+        "id": "2_vojIbBj2AQ"
+      }
+    },
     {
       "cell_type": "markdown",
       "source": [
@@ -164,7 +608,7 @@
         "\n",
         "\n",
         "Da fjerde semester startede 1. februar troede jeg, at jeg skulle være på skolen 3 dage om ugen og lære IT sikkerhed, kunstig intelligens og microservices, lave et projekt med clean architecture og C# og søge praktikplads ved bankdata eller lignende, men jeg blev klogere...\n",
-        "Fra jeg blev gjort opmærksom på en fantastisk mulighed hos GEV i Grindsted, til kontakten var formidlet, 2 samtaler overstået og kontrakten underskrevet, gik der ca 10 dage og 1. marts startede jeg så hos GEV. Jeg har vist fortjent retten til at skrive omstillingsparat på mit CV!\n",
+        "Fra jeg blev gjort opmærksom på en fantastisk mulighed hos GEV i Grindsted, til kontakten var formidlet, 2 samtaler overstået og kontrakten underskrevet, gik der 14 dage og 1. marts startede jeg så hos GEV. Jeg har vist fortjent retten til at skrive omstillingsparat på mit CV!\n",
         "\n",
         "Microservices og C# blev sat på pause og en ny verden med kurs mod dataanalytiker blev åbnet med Power BI, python og real life data.\n",
         "\n",
@@ -186,17 +630,21 @@
         "\n",
         "**Power BI** er et cloudbaseret Business Intelligence værktøj udviklet af microsoft, der hjælper en igennem hele dataanlyse processen ved at gøre en i stand til at hente og vaske data, lave interaktive visualiseringer og udgive/dele sine rapporter på en nem og effektiv måde. Det er integreret med andre microsoft redskaber som excel, SQL og Teams. Det har sit eget programmeringssprog, DAX, der bl a bruges til at lave beregnede kolonner, udregninger og målinger. DAX består af en række formler og funktioner, der kan hjælpe med at beregne værdier på tværs af tabeller.\n",
         "\n",
-        "**Python** er det foretrukne sprog til dataanalyse og da power BI er et dataanalyseværktøj er python naturligvis en integreret del af Power BI. Jeg har kun lige kradset lidt i overfladen mht python, men mulighederne er uendelige. Man kan f eks lave en visualisering ved hjælp af drag'n'drop i Power BI, men man kan også skrive pythonkode, der laver en visualisering med de ønskede data, overskrift, navngivne x- og y-akser og meget mere. Når det kommer til analyse og træning af data findes der gode værktøjer som pytorch, tensorflow, pandas, scikit og mange flere.\n",
+        "**Python** er det foretrukne sprog til dataanalyse og da Power BI er et dataanalyseværktøj er python naturligvis en integreret del af Power BI. Jeg har kun lige kradset lidt i overfladen mht python, men mulighederne er uendelige. Man kan f eks lave en visualisering ved hjælp af drag'n'drop i Power BI, men man kan også skrive pythonkode, der laver en visualisering med de ønskede data, overskrift, navngivne x- og y-akser og meget mere. Når det kommer til analyse og træning af data findes der gode værktøjer som pytorch, tensorflow, pandas, scikit og mange flere.\n",
         "\n",
         "**Artificial Intelligence** er et utroligt stort og komplekst emne og findes efterhånden i alt.\n",
         "\n",
-        "**Machine learning** er en underafdeling af AI og bruges også i Power BI, hvor man kan se trends, bruge Q&A funktionen og lave analyser mm. For at begrænse mig lidt, har jeg valgt at fokusere på hvilke værktøjer, der findes til at få det hele til at samarbejde og her er Jupyter notebook et virkelig godt eksempel.\n",
+        "**Machine learning** er en underafdeling af AI og bruges også i Power BI, hvor man kan se trends, bruge Q&A funktionen og lave analyser mm. For at begrænse mig lidt, har jeg valgt at fokusere på hvilke værktøjer, der findes til at få det hele til at samarbejde og her er Jupyter Notebook et virkelig godt eksempel.\n",
         "\n",
-        "**Jupyter notebook** er meget populært blandt dataanalytikere, da man kan blande tekst, kode og formler efter forgodtbefindende og det hele kommer ud i et nydeligt format. Man behøver ikke lange kommentarer i ens kode, da man bare indsætter en tekstblok og skriver det, man har brug for. Formler skrives med keyboard shortcuts og bliver omsat til pænt opstillede formler med de korrekte matematiske tegn og url adresser genkendes og laves automatisk til et link.\n",
+        "**Jupyter Notebook** er meget populært blandt dataanalytikere, da man kan blande tekst, kode og formler efter forgodtbefindende og det hele kommer ud i et nydeligt format. Man behøver ikke lange kommentarer i ens kode, da man bare indsætter en tekstblok og skriver det, man har brug for. Formler skrives med keyboard shortcuts og bliver omsat til pænt opstillede formler med de korrekte matematiske tegn og url adresser genkendes og laves automatisk til et link.\n",
         "Man kan installere programmet på sin computer og køre det via port 8888, men det absolut nemmeste er at køre det gennem google colab, som er et google Research projekt, hvor man logger ind med sin google-konto fra en hvilken som helst computer og så er det køreklart med adgang til alle pythons biblioteker.\n",
+        "\n",
         "https://colab.research.google.com/notebooks/intro.ipynb \n",
         "\n",
-        "Jeg har koncentreret mig om Power BI og vask og visualisering af data. Hvad man kan bruge de data til må komme senere hvor jeg vil se på, hvordan man træner datasæt og hvilke værktøjer, der bruges til det."
+        "\n",
+        "**Mit fokus:**\n",
+        "\n",
+        "Jeg har koncentreret mig om Power BI og vask og visualisering af data. Hvad man kan bruge de data til må komme senere, hvor jeg vil se på, hvordan man træner datasæt og hvilke værktøjer, der bruges til det."
       ],
       "metadata": {
         "id": "qd9PKCgdYbLN"
@@ -214,7 +662,8 @@
         "* kode i python på begynderniveau og jeg har fået øjnene op for potentialet i forhold til dataanalyse.\n",
         "* AI og Machine Learning er et enormt stort emne og hvad det kan bruges til, men ikke hvordan...\n",
         "* ChatGPT er det nye sort, men at man er nødt til at forholde sig kritisk til svarene og at det kan hjælpe en med opgaveløsning og -skrivning, men ikke erstatte viden.\n",
-        "* bruge Jupyter notebook og kombinere det med github.\n"
+        "* bruge Jupyter Notebook og kombinere det med github.\n",
+        "* Jeg er også blevet introduceret til den virkelige verden og har lært at se efter abnormaliteter i elforbrug, oprette nye installationer og registrere solceller."
       ],
       "metadata": {
         "id": "4PT2QLpZv38-"
@@ -225,7 +674,7 @@
       "source": [
         "## Hvad gik godt/mindre godt?\n",
         "\n",
-        "Jeg synes, at det meste er gået godt og som jeg forventede."
+        "Jeg synes, at det meste er gået godt og som jeg forventede. Jeg er dog slem til at bevæge mig i mange forskellige retninger i starten og først til sidst få øjnene på målet."
       ],
       "metadata": {
         "id": "_HHKiM94_drj"
@@ -237,12 +686,14 @@
         "## Hvad kunne jeg have gjort anderledes?\n",
         "\n",
         "\n",
-        "Pensum var lidt overvældende, når alt er nyt, men jeg tænkte, at igennem skulle jeg jo, så jeg startede fra en ende af og damptromlede mig igennem de første ca 18 kurser, men hele tiden under tidspres, hvilket betød at jeg kun gav opgaverne en minimal chance inden jeg trykkede på hint-knappen. Når et kursus var slut, gik jeg direkte videre til næste uden at reflektere over, hvad jeg havde lært eller forsøgt at lære. På et tidspunkt stoppede jeg heldigvis op og begyndte at tænke... Det resulterede i, at jeg erkendte at prøve at gå fra \"zero to hero in three months\" nok var en dårlig ide, så jeg valgte at fokusere på det grundlæggende og jeg genså en del af kurserne og fandt andre videoer og kurser om de mest basale ting i Power BI. Der er jo ingen grund til at lære at lave avancerede markedsanalyser og case studies, hvis jeg ikke kan finde ud af at hente data eller vaske dem først. Det var virkelig et kvantespring i min forståelse, at jeg gentog det og i et mere roligt tempo. Jeg skulle have brugt mere tid på grundbegreberne fra starten og jeg skal virkelig arbejde på min note-skrivning. Den er elendig...\n",
-        "Jeg er også blevet introduceret til den virkelige verden og har lært at se efter abnormaliteter i elforbrug, oprette nye installationer og lege detektiv. Også her ville det have været en hjælp, hvis jeg havde været bedre til at tage noter\n",
+        "Pensum var lidt overvældende, når alt er nyt, men jeg tænkte, at igennem skulle jeg jo, så jeg startede fra en ende af og damptromlede mig igennem de første ca 18 kurser, men hele tiden under tidspres, hvilket betød, at jeg kun gav opgaverne en minimal chance inden jeg trykkede på hint-knappen. Når et kursus var slut, gik jeg direkte videre til næste uden at reflektere over, hvad jeg havde lært eller forsøgt at lære. På et tidspunkt stoppede jeg heldigvis op og begyndte at tænke... Det resulterede i, at jeg erkendte at prøve at gå fra \"zero to hero in three months\" nok var en dårlig ide, så jeg valgte at fokusere på det grundlæggende og jeg genså en del af kurserne og fandt andre videoer og kurser om de mest basale ting i Power BI. Der er jo ingen grund til at lære at lave avancerede markedsanalyser og case studies, hvis jeg ikke kan finde ud af at hente data eller vaske dem først. Det var virkelig et kvantespring i min forståelse, at jeg gentog det og i et mere roligt tempo. Jeg skulle have brugt mere tid på grundbegreberne fra starten og jeg skal virkelig arbejde på min note-skrivning. Den er elendig...\n",
+        "Også i mit daglige arbejde, havde det været en hjælp, hvis jeg havde været bedre til at tage noter.\n",
         "\n",
         "I AI/ML var jeg virkelig udfordret med min computer, der ikke ville lade mig installere de ting vi skulle bruge i klassen, så jeg brugte meget tid på at prøve at finde en løsning, inden jeg opgav og fandt på alternativer. Dem er der så en masse af, så jeg kunne have sparet en masse tid, hvis jeg havde vidst det fra starten.\n",
         "\n",
-        "Især indenfor machine learning var der en masse nye begreber og når man googlede dem, var forklaringen fyldt med andre nye begreber, der også skulle googles og sådan kørte det i ring! Jeg skulle have erkendt lidt tidligere, at det at forsøge at lære det hele på et semester var lidt for ambitiøst og valgt at fokusere på hvilke muligheder, der er indenfor kunstig intelligens og hvilke værktøjer, der kan bruges. "
+        "Især indenfor machine learning var der en masse nye begreber og når man googlede dem, var forklaringen fyldt med andre nye begreber, der også skulle googles og sådan kørte det i ring! Jeg skulle have erkendt lidt tidligere, at det at forsøge at lære det hele på et semester var lidt for ambitiøst og valgt at fokusere på hvilke muligheder, der er indenfor kunstig intelligens og hvilke værktøjer, der kan bruges.\n",
+        "\n",
+        "Alt i alt har det været et spændende og udfordrende semester, hvor jeg har fået afklaring på, hvilken vej jeg skal følge i fremtiden og det er vel ikke så skidt endda!"
       ],
       "metadata": {
         "id": "xnDxUPBrYnQC"