Stock_analysis.ipynb

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      "cell_type": "code",
      "source": [
        "!pip install yfinance\n"
      ],
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          "text": [
            "Collecting yfinance\n",
            "  Downloading yfinance-0.1.70-py2.py3-none-any.whl (26 kB)\n",
            "Collecting requests>=2.26\n",
            "  Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)\n",
            "\u001b[K     |████████████████████████████████| 63 kB 1.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pandas>=0.24.0 in /usr/local/lib/python3.7/dist-packages (from yfinance) (1.3.5)\n",
            "Requirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.7/dist-packages (from yfinance) (0.0.10)\n",
            "Collecting lxml>=4.5.1\n",
            "  Downloading lxml-4.8.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (6.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 6.4 MB 9.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.7/dist-packages (from yfinance) (1.21.5)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24.0->yfinance) (2018.9)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24.0->yfinance) (2.8.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=0.24.0->yfinance) (1.15.0)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (2.0.11)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (2021.10.8)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (1.24.3)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (2.10)\n",
            "Installing collected packages: requests, lxml, yfinance\n",
            "  Attempting uninstall: requests\n",
            "    Found existing installation: requests 2.23.0\n",
            "    Uninstalling requests-2.23.0:\n",
            "      Successfully uninstalled requests-2.23.0\n",
            "  Attempting uninstall: lxml\n",
            "    Found existing installation: lxml 4.2.6\n",
            "    Uninstalling lxml-4.2.6:\n",
            "      Successfully uninstalled lxml-4.2.6\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "google-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.27.1 which is incompatible.\n",
            "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\u001b[0m\n",
            "Successfully installed lxml-4.8.0 requests-2.27.1 yfinance-0.1.70\n"
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      "execution_count": 2,
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          "text": [
            "/usr/local/lib/python3.7/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
            "  import pandas.util.testing as tm\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from statsmodels.tsa.seasonal import seasonal_decompose\n",
        "import yfinance as yf\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "COLETA DE DADOS"
      ],
      "metadata": {
        "id": "KgachK8MLCzO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ticket = yf.Ticker('^BVSP')\n",
        "df = ticket.history(interval='1d', start='2020-01-01', end='2022-01-01')\n"
      ],
      "metadata": {
        "id": "cVsCD4coLFRd"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
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      "source": [
        "df"
      ],
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          "height": 455
        },
        "outputId": "72861722-1621-485f-bbd3-a114fafcff66"
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      "execution_count": 4,
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              "                Open      High       Low  ...    Volume  Dividends  Stock Splits\n",
              "Date                                      ...                                   \n",
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              "2020-01-03  118564.0  118792.0  117341.0  ...   6834500          0             0\n",
              "2020-01-06  117707.0  117707.0  116269.0  ...   6570000          0             0\n",
              "2020-01-07  116872.0  117076.0  115965.0  ...   4854100          0             0\n",
              "2020-01-08  116667.0  117335.0  115693.0  ...   5910500          0             0\n",
              "...              ...       ...       ...  ...       ...        ...           ...\n",
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              "2021-12-27  104892.0  105694.0  104798.0  ...   7594900          0             0\n",
              "2021-12-28  105555.0  105652.0  104503.0  ...   7509000          0             0\n",
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              "2021-12-30  104106.0  105269.0  104106.0  ...  11138100          0             0\n",
              "\n",
              "[495 rows x 7 columns]"
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          "metadata": {},
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    {
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      "source": [
        "df.tail() #mostra as últimas linhas"
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        "id": "ogtyYoEoMTNd",
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              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "    }\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",
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              "\n",
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              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "  </style>\n",
              "\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-16820452-aa14-4c61-bb36-1ef63f2a21b8');\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",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                Open      High       Low  ...    Volume  Dividends  Stock Splits\n",
              "Date                                      ...                                   \n",
              "2021-12-23  105251.0  105453.0  104637.0  ...   7283600          0             0\n",
              "2021-12-27  104892.0  105694.0  104798.0  ...   7594900          0             0\n",
              "2021-12-28  105555.0  105652.0  104503.0  ...   7509000          0             0\n",
              "2021-12-29  104863.0  105190.0  103851.0  ...   6590000          0             0\n",
              "2021-12-30  104106.0  105269.0  104106.0  ...  11138100          0             0\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df[['Close']].info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nvG9ZYDJlSHO",
        "outputId": "14df765f-8afd-4b47-b7d7-36e42103e81b"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "DatetimeIndex: 495 entries, 2020-01-02 to 2021-12-30\n",
            "Data columns (total 1 columns):\n",
            " #   Column  Non-Null Count  Dtype  \n",
            "---  ------  --------------  -----  \n",
            " 0   Close   495 non-null    float64\n",
            "dtypes: float64(1)\n",
            "memory usage: 7.7 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df[['Close']].head() #mostra as primeiras linhas"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "QVGUL-7QlU0C",
        "outputId": "6c786bbf-8823-4674-fbf1-03d2823b19a0"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Close</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2020-01-02</th>\n",
              "      <td>118573.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-01-03</th>\n",
              "      <td>117707.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-01-06</th>\n",
              "      <td>116878.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-01-07</th>\n",
              "      <td>116662.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-01-08</th>\n",
              "      <td>116247.0</td>\n",
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              "</table>\n",
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              "\n",
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              "      background-color: #3B4455;\n",
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              "\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",
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              "\n",
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              "          const element = document.querySelector('#df-1a36e672-e1ce-4025-86e4-8cb942a0db30');\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",
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              "        }\n",
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              "  "
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            "text/plain": [
              "               Close\n",
              "Date                \n",
              "2020-01-02  118573.0\n",
              "2020-01-03  117707.0\n",
              "2020-01-06  116878.0\n",
              "2020-01-07  116662.0\n",
              "2020-01-08  116247.0"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
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        "df[['Close']].plot()"
      ],
      "metadata": {
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          "height": 294
        },
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        "outputId": "800a2ad3-47e3-48e8-ea74-f8741446fb69"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f143c7ae210>"
            ]
          },
          "metadata": {},
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "DECOMPOSIÇÃO DE UMA SÉRIE TEMPORAL (modelo aditivo / modelo multiplicativo)"
      ],
      "metadata": {
        "id": "n-AGHKWDMaM5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "decomposicao = seasonal_decompose(df[['Close']], model='additive', freq=30, extrapolate_trend=30)"
      ],
      "metadata": {
        "id": "6hcXYPOWMdbU"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "decomposicao.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 579
        },
        "id": "q1OT_aZqloLH",
        "outputId": "2691c427-6df8-4f94-a072-f095831c6ef6"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "decomposicao_multi = seasonal_decompose(df[['Close']], model='multiplicative', freq=30, extrapolate_trend=30)"
      ],
      "metadata": {
        "id": "y-HVEP7ylrb2"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "decomposicao_multi.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 579
        },
        "id": "DYnZiebzlwfg",
        "outputId": "c6c62398-4827-4aea-ca9e-78b6428c28ce"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "max(decomposicao.resid)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "_LD8MG4Al1ta",
        "outputId": "6e99e7b2-6f2e-42bd-d46e-379071723f26"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'Close'"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "No gráfico a seguir a linha azul é referente ao valor do ticker, enquanto a linha laranja é a linha de tendência"
      ],
      "metadata": {
        "id": "uPiYWIPvl6TT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ax, fig = plt.subplots(figsize=(15,8))\n",
        "plt.plot(decomposicao.observed)\n",
        "plt.plot(decomposicao.trend)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 500
        },
        "id": "oWP52UJal8NH",
        "outputId": "9fa4e2e7-2852-4d82-cad8-3d608df3290c"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f1439566190>]"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig,(ax1,ax2,ax3,ax4) = plt.subplots(4,1, figsize=(12,8))\n",
        "decomposicao.observed.plot(ax=ax1)\n",
        "decomposicao.trend.plot(ax=ax2)\n",
        "decomposicao.seasonal.plot(ax=ax3)\n",
        "decomposicao.resid.plot(ax=ax4)\n",
        "plt.tight_layout() #Serve para melhorar um pouco o layout de apresentação"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 585
        },
        "id": "S5N3zR5Pl_lB",
        "outputId": "9b9d5c84-67bb-43c8-c176-32f6a326c66c"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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cOZM777wTgO3bt1NVVdVSZ9SoUXz22WeMHz+etLQ0cnJy6N69OxkZGXTp0oX777+fnJwctm/fzrnnnsukSZN46KGHCAoKory8nJqaGqKjT+7vv00CLKXU3wEz8Flb7O/P0lrPBGYCJCUlnTI9XHOTc1mwJZ+s0nqmDImka9DR11GpN5lZmlpMgIczA6J9mPq/9RyoaiTQ0xkXo4E3lu1j9vpsIv3cMJmt3P15Cj/eP+qIjEdCCHE20VrzxIIdfLU5n7hADx6/IIHR9sVdtdY890MqX23Oo7K+GbClnb5iQASX9gvDz92JfUW17CuqYV9xLWlFNazPKOeiPqE8e2ki3m5/7P010NOZN67rx9XvrefJb3by2jX9DptbsjKtBIDle4pbAqxZ67JYsCWfe8bFcXGfMLoHe7YEilprZq3L5ulvd3Hz8BgSw73pF+lNXKBHy34n9AgmzMeVfy/ay+x12dwzrutJXc+Okl/ZQHJWObVNZt5duZ+i6iZ6hHiyLa8KD2dHbhoew60jYwn3OXKIX9cgD16Y3JunL7H12h2ca+Xs6MC8u4Zh0Rqjg4E3r+vPmvQywrxdbEkXlqejFLxz/YBWP4/vGN2lfU9atGpAlC/f3juSC1//lfu/2MJ3943k0/XZfLYhh65BHkT4upJf2cBDE7vh42rkq815XNQ7FEcHA4nh3iSGe/P60n1klNTxy64irkqKYGtuJd9vL8DoYDjmjRJx+lBKsWDBAh588EFeeuklXFxciImJ4bXXXmupc/fddzN9+nR69+6No6MjH3/8Mc7OzsydO5fZs2djNBoJCQnhiSeewM/Pj+eee45zzz0Xq9WK0WhkxowZJx1gqT8y0s4+RPD7g0ku7GU3A3cBE7TW9fayxwG01i/Yny/it2F+/9Ran3doPeBFoAQIsfdSDTtY7+C2Wut1SilHoBAIPN4QwaSkJJ2cnHzC59aemi1W/r5gB3OT8wDbB/v5iSGc1yuE3uHeLR+Qy/cW88TXOyioasTJ0cDk/uHM2ZTLrFsHM7pbIMXVjYx6eTlmq+abu0dgsli46t11XNY/nFeu7kelPfWpq9Mfn2S7bn8ZYT4uRPu7H/FaQVUD/u7OZ+TYfiHEmWH1vlKu/2ADFySGsOtANTnl9VyQGMKTF/ckObuC+7/Ywnm9gjmvVwjD4wII8XY55v601ic94f7Npfv47+I0ugZ5kBjmRa8w25fAN5buY11GGV4ujrw1ZQBvLU9nY2Y55/QIZsbU/kdNlFDd2HzcnqkbP9xIakE1qx8b124JFxqbLWSW1tEj1Ov4le2Ss8r5fnsBE3sGM6JrACazlfdXZ/DG0n00NtvmVYX7uNIzzIus0jquHRzF1UkRbX7zUGvN37/ZiaeLI49f0KNN9y3axrr9ZUx5fz3Rfm5kldUzIMqHmkYz6SW1uBkdWPv4hKPO09JaM+bfK8gpt/VQ5lf+1uP7w/0j6RV2eK+YxaqpaWyW3q4TlJqaSo8eZ+/fTWvnr5RK0Von/b7uSQVY9oyArwBjtNYlh9TrBXyObd5VGLAUiAcUkAZMAPKBTcAUrfUupdQ84KtDklxs11q/rZS6B+ittZ5mT3IxWWt99fHaeioFWAcVVjWyeHchP+8qZH1GORarJtzHlUv7hVFa08S8lDzigzx49PwEnvxmJ4XVjYxPCOKDm5JaPui/3XYAgEv7hgHwyuI03li6j9ev7cfrS/ehNcyYMoAof7eWyaQA2WV1vLNiP91DPLl5eMxhXxxSsiu46t21+Lk789X0YYcFWbnl9Zz76irO6xXMa9f274jLJIQQf4jJbOWKd9ZSVtvE8r+OBeD9XzN5c9k+AKwaEkI8WXD3iGNmnWtrFqvmw9WZbMgsY9eBagrsSTAAIv1cyS23ffkL9nJm+pg4pg6NPmy42p9xMNB8+co+XJ0USVVDM6kF1Qzt0nbzdV/6eQ/vrtzPLcNjWZJaxNVJEUwdEo3vUZIM1DQ2M/GVVRRWN2JQ8MylvZi9Ppu0olrO6xXMfePj8XV3IsTLpUN/PuLU9dqSNN5ZsZ9pY+K4f0I8DgZFTWMzDc0WgjyPfXPk7RXpvL5kH8Pj/Lm4TxiDY/2Y+OpKLu8fwQuTe7fcPNlfUsv0T1NIK6pldLdA/nfjwLM6C+SJkACrHQIspdQXwFggACgCnsaWNdAZW/p0gPVa62n2+n/HNi/LDDyotf7JXn4h8Bq2NO0faq2ft5d3wZam3Q/YAlyvtW5SSrkAs4H+QDlw7cEkGcdyKgZYh6qoM7EktYifdxayfG8xSimmj4njvgldcXZ0ILe8ntLaJvpG+Bx1PgHYMkhd+e46duRXYbH+9rMcEuvHnDuHopQiJbucmz/aRF2TGauGv5zbjXvHxwO2uz0TX11Fg8lCnclMiJcL/7y0Fz/vLGTx7iLqTWYq6psxKFj2yFhiAo7s4RJCiI40Z2MOby5Lp7HZQoSvKyjFttxKZkwZwEV9flvgNbe8nreWpeNiNHDXmDjCWhlm1pHKaptYvreEj9Zk8tTFPZm1PpuhsX5clRR51FTif5TWmgvfWI3ZYuX1a/tz4Ru/ArDg7uH0P0rigC05Fbz8815mTB1wWCa2vIp6vt6cz+2jYjFbNZsybUP5nv8hleKaJsCWPa+0tglXowM3j4jh0fO6o5SiuKaRLzfmkpxdwebsCmpNZmbdOphH52+noKrRPv+pFxN6BLfJeYszj8ls/dMjZ37fA/3o/G18t62AKUOiWJNeyk3DY3ju+904Gx24rF84H67J5MZh0Tw7KfEYe217hVWNFFY34ufmhJ+H02E3xk9FEmC1Uw/W6eRUD7AOlVtej9YQ5e/2p7bPKq3jwjd+JcjTmVev6cf8lDw+25DDVQMj2JZXSVpRLZF+rnx++1BeXrSXn3YU8PXdw+kT4cPO/CoufnM1L07uTZCXM7d+bLtmzo4GRsUHUlLTyLiEIN5ZsZ8+Ed58dMvgU/4NQAhxZqisN5FX0YCzowFnRwecjQYcDIphLyylZ6gXvcK9yS2v50BlA5f3D2+5cXS2W7Alj4e+3EZ8kAf7imsBePCceB48p1ur9e/9fDPfby/gusGRLQkHAB6cs4Vvth7A392JinoTh9zDY2z3QPYV1fLV9OFUNph4c2k6P+wo4IObkhgY7csV76xlf0kd3YI9SIrx4/xeIYzuFsiOvCrW7i/lhmHRuDnJZ4noGDvyqrjkrdWHlQ2I8mHG1AGEervy3Pe7eX91Jq9f249J/cKP2H5lWgn5FQ1cNzgSpRS1TWZcHA04nkSPc1VDM+e8spIS+80KgLtGd+HxC0/dACY1NZWEhISzcr0yrTV79uyRAOt0CrDawp7CalyNDkT7u2MyW5n46kpyy+sZHOvHeb1CmNQvHD93JyrrTUx8dRXldSbO6xWMg8HAjzsK2PT3c/Bzd2Lh1ny0hnN6Bh8WSH2//QAPzNnKpL5hvHJNv048UyHE2WB9RhnTPk1pSUpxkLerkaqGZhY/NJr44KMnDDqbNVusjHppOYXVjVzWL4yM0jqcHQ3Mmzb8iLrVjc0kPbcEZ0cDtU1mFtw9gn6RPpTWNjH8hWX0j/LB08VIrzAvhnbxZ2tuJcv3FjPr1sE4Oxpavmg1W6xMfGUlTo4G4oM9WbyriFm3DW7ToYlCnIxJb61me34Vz17ai+pGM3eM6tLSQ9ZssdoXlq5l/RMTDhsqWNPYzOiXl1NR30yErytV9c3UNJkZFR/A7NuGALYb5RarbnWUT0FVAxV1zXQP8cTBoNhXVMMTC3awv6SOynoTL17RB4NSzF6XRUV9M6seHdch1+PPyMzMxNPTE39//7MqyNJaU1ZWRk1NDbGxhy9FcLQAS24fnSESQn6bbOzkaGDhPSPQmiPGxPu4OfHdvSP5eG0WX2zMoaqhmeFx/i3DQlq7cwNwcZ8wdh+o5u0V+7l+WPRR16gQQoiTtftANbd+vIlQbxeev6w3Vq0xma0U1zTx6pI0Bsf6SXB1DEYHA7eMiOGFn/ZwWf9wNmaWM3NVBjWNzUckjfhyYy4ms5UPbxrEQ3O38tTCnSy4ewTvrtiPyWLl+ct7H7YG2LA4f6aPjWv1mE9e3JPbPkkmraiWu8fGSXAlTin/uiyRvYU1XJUUecRrRgcD90+I56YPN7J4dxEX9wlree2jNbbA59YRsRyobCDE24WM0jrWpJdS3diMm9GB6z/YQFF1I29PHdCyEDnYloaY+r8NZJTW4ensSJ9IbzZlVeDh7EivMC9GdA3gant7qhqa+df3uymoamh1YexTQUREBHl5eZSUlBy/8hnGxcWFiIiI41e0kwDrDHWsjDgh3i787YIE7p/QlZ93FtLnBNfRuntcV+al5PHMd7tZMH34MeeGCSHEn/HZhmye+z4Vb1cjn98xlGCvwye0X9g75LDFgEXrbh0ZS7cQT8Z0C8TL1cjbK/bbhwHa1ohcsbeYF3/aQ055PWO7BzKiqz//uKgHD8zZypMLdzJnYw7XDY5qdYHlo5nQI5j7xnflu20HmNZKECZEZ+oT4UOfiKMvQDyyawBh3i58uDqTiT2DcXZ0oMFk4aM1mUxICOKpS35bxHt9Rhmr0kr4dH02FXUmssvqCfFy4Y5ZKbx8RR+usC+/sGZ/KRmlddw8PAaTxUpKVgUTewTzz0t7EejpfNjxh8T6AfDrvlKuGhhxSvYQGY3GI3pwROtkiKD4Q+an5PGXedt45eq+TB5w4pG8EEIcpLVmc04lO/IqWZ1eiperkUfPS8DTxZFBzy8hMcyb/17dl0i/PzcvVRxOa80Fr/+KVWtuGxlLQVUjH63JwqBsIx7m3mXLHqu15tqZ69mQWU6XAPeWhXv/zPFOxS+HQhzPvORc/jp/O6PiA3jvhoF8vTmff3yzky/vHMqQQ3pkm8wWuv/j55bnCSGezJ02jOmfprAmvYxR8QE0NVvJKK3DqjXrHh9/3AyFFqsm8elFNDRbuHl4DP+8tFe7nadoOzIHS7QJq1Vz+dtrKKxuZNkjY+VOshDiD3t0/raWdQFDvFyoqDfhaFCMig/k512FzJs2jEExfp3cyjPLnI05/O3rHS3PuwS689HNg45Y+zC3vJ75KXncNir2uGtuCXEmmrspl799vZ3+Ub5kl9UR6efG19OHH3HT4L4vtrAqrYRPbh1MjL8bPm5ONJktPPPdbjZnV+DtasTHzcglfcMOG3J4LD/vLOTtFenkVzSw8e/nyLIFpwEJsESbScmu4Ip31nLvuK785bzund0cIcRppLimkWEvLOPy/uE8en53Atydyato4Klvd7JibwnR/m6s+MtY6QFpY1arZndBNT5uRoI8XWTheCGO4YftBTz45Ra0hm/vHUnPsCMX1TaZrTgYVJsHQQu35vPAnK18NX04A6N9qWpo5umFOxnTPZDL+58eI4cq601Hnapy8L2oZ6jXGTHVRJJciDYzMNqXy/qFMfPXDK4ZFHnUYTzF1Y34ujud9MKZQojTT01jMyazFX+P3+YZVDU08/6vmVismulj41oWDI3yd+Ojmwexal8p/u5OEly1A4NBkRh+YvNthTjbXdQnlBBvZ6oamlsNroB2u0kxtlsQDgbFol2FhHi7cMtHG0krqmVDZjmX9An7U6nhLVbNv77fzbm9ghkeF9AOrbapamjmyW928u22Azx3WSLZZXU0WzT+7k4Ee7swtnsg/1iwk192FzF5QDgvX9HnpFLdn8qkB0v8KQVVDYz/z0rGJQTy9tSBLeXNFiuz1mUT4+/GbZ8k88jEbtw3QdamEeJsklpQzW0fb6Kmycy0MXEUVjWyKaucvUU1aA2juwUy69bBnd1MIYQ4Jd3z+WaW7C7C29VIg8nCNYMieX91Jo+dn8B1gyOPmcisNV9vzuPhudsI8HBm8UOjj8gw3RaySuu47ZNN5JTX4+fuRFF1E0qBh7MjNY1mAAwKlFJMSAjil91FjOkWyJtT+p/Ww5FliKBoc28s3ccri9NaJn/WNZm5+7PNrEz7LX3n0C5+zLlzWCe2UpzulqYWEe3v/oeymYmO0WS20GS2tnw4Wq2aj9Zm8dLPe/B1M+Ln7kxqQTXuTg4MiPZlUIwfSTG+DIz2Pe6EbyGEOFsVVTdyzisr8XB25ONbBtMl0J0xL79HOZYAACAASURBVC/nQFUjAR7OvHfDQAZG25bLWZVWQnpxLSaLlQsSQ46YV/nTjgKe/nYXrk4O5Fc04ONm5M7RXZg6JPq48+gbmy28+NMebhgWTVzg0T+DD65bCPDe9QOpM5m59eNk7hvflUfO7U6T2UJyVgUfrM7kjlFdGBbnzxcbc3jym53EBLjz9tQBFFQ10ifcuyX4q25sJq2whor6ZsZ2DzxlR0NJgCXaXGOzhZEvLWNIrD//vLQXt368id0F1UwfE8esdVlUN5qJC3Rn6SNjO7up4hRVUtNEbZMZPzcnvN0Ov4NVXN3I9rwqbp+VjNFB8daUAZzXK6STWip+T2vN9R9sYEdeFR/cPIgoPzcenruVNellTEgI4sUr+uDv7kS1fe0lmawthBAnLq+iHk9nY8tnY1V9M7sKqvjL3G0EernwxR1DeHrhLual5LVsM657ICPjA0krrMHBQVFa08Qvu4voGuTBq1f3w2Sx8uriNFanl+Ln7sTto2K5dUQsLsbWb3g9+c1OZq/P5tpBkbx4RZ8jXk8vrmFNehnP/bCbSD83PrxpUMtiy/tLaukS4H7MId/r9pcx/bPfFpR3MCh6h3tTXN3IgarGlnqDY/x45NxufLQmi39f1eeI9fw6kwRYol08+c1O5qXkEuLlQmF1IzOmDGBCj2BMZitvLU/nrWX72P3s+Uf94xVnp8p6E28sTWf2+iyaLbb3oL+e1517xnXFatXM/DWDfy/ai8WqifB1xc3JAa3hl4dGH/ZmXdPYzANztnLNoMiW4KuqvhkvV0eZx9POPl2fzT++2Ym3qxEnRwNdAz3YmlvJU5f05NpBkXL9hRCiHXy8JpN/frebCF9X8isbuHdcV24dEcsHqzN5a3k6AAEeToBCa82VSRE8el7CYTe5UrIreHPZPlbsLeG6wZG8MPnI4GnG8nT+vWgvAInhXnx/36jDXs8srWP8f1egtW0NsRlTBhxxo/REZJXWMfPXDEZ1DWBHfhWbssoJ93Gle4gX3UM8KK0x8fS3u2hotuDrZmT2bUNOqfmkkuRCtIsLe4cye302+ZUNfH7H0JbUyk6OBnqGemHVsLewhr6RR1/cT5xd5ibn8vwPqdQ0NnN1UiSDY/2Yn5LH28vTubRvGM98t4slqcVc2DuEUG9XLuwdSlZpHY/M28YTC3YQ5OmCu7MDVwyI4MWf9rBsTzGbsspZvLuITVnlZJfVc8+4OP56XkJnn+oZa016Kc98t4uRXQO4aXgMd8xKpqSmiUcmdmtZyFYIIUTbmzwwgv/8kkZjs5XZtw5hZLwtacX1Q6N5Z+V+eod789X04cccNTAw2pePbxnMv77fzYdrMukb4cPugmrCfFy5qHcomaV1/HvRXi7rF0aknxtvLU+nuKaRvIoGskrrGJ8QxJr0UrSGd68fwDk9gv90soqYAHf+7/LeAFzQO7TVOn0jffhiYw53jO5CuI/rnzpORzvhHiyl1IfAxUCx1jrRXuYHfAnEAFnA1VrrCmW7dfk6cCFQD9ystd5s3+Ym4B/23T6ntf7EXj4Q+BhwBX4EHtBa66Md43jtlR6sjmGxau77YjMTewYfkT40p6ye0f9ezguTe8uXLsH+klq0hvNfW0W/SB+euzyRhBBbdqad+VVc/OZqHAwKg4J/XNSTG4dFt/SCNJktXDZjLfvt48wB4gLd2V9SxxUDIvhlVyEODorBMX40mq38uq+Ec3oE8+h53YkP9mxpg9liZeavGVzUO5QoPzeqGppZt7+MlWklJGdXEOHryjOX9sLHzYmXf97D9UOj6RHqRVVDM39fsIOuQR7cOboLbk6n772p/MoGNmdXcFHv0D+VIje1oJqr311HqI8L86YNx93JgeEvLqO0tom1f5tAiLdLO7RaCCHEQVmldXi7Go9IVrE+o4wuAe4EeZ3Y+3B1YzOXzVhDRkkdTg6Gls9XF6OBEC8XFj00mm25VVz93jqUgoMhQ0KIJwEezqQX17Lu8fFn9YiFkx4iqJQaDdQCsw4JsF4GyrXWLyql/gb4aq0fU0pdCNyHLcAaAryutR5iD5aSgSRAAynAQHtQthG4H9iALcB6Q2v909GOcbz2SoDV+bTW9H3mFy7qE8YLk3t3dnNEJ8ooqeXCN37FagWTxcqSh8cckbTi/V8zKKhq5LJ+4fSOOHr3v9Wq+XBNJs/9kEq4jytLHxmD1uDsaMBgUDSYLDyxYAdLUouI9HXDw8WRMd0CuXN0F1buLeH2WclE+LpS22RuGfft6exIUowvm7Iq6BXmRdcgDz7bkIOvm5HP7xjKlpxKnlhgW6R1VHwAXq5GeoV5cUFiKLEB7mSW1vHK4jSevKjHCX+wdQaT2cqkGWtIta9BEhfkgb+7E4Nj/bjwKHcOD6prMpOSXcFf529Dofj67uGE2e8kLtyaT15FA/eM69oRpyGEEKKNNFusbMwsp1uwJ43NFn7cUcCqfSXcNz6eoV38abZYefa73bg7O9Iv0gfQ3D9nKyazlYt6hzJj6oDOPoVO1SZzsJRSMcD3hwRYe4GxWusCpVQosEJr3V0p9Z798ReH1jv4T2t9l738PWCF/d9yrXWCvfy6g/WOdozjtVUCrFPDjR9upLi6kZ8fHN3ZTREdoMFkwdFBkZxVgYvRQP8oX7TWXPXuOlILqqkzWRgU48u8acNP6jgms5WnFu5kUr9whsX5t1pnbnIuj87fjpOjAZPZSkKIJ+7OjuwtrKGh2cLAaF/GJwQxIMqX/lE+GB0MfL4hpyWQurhPKCnZFTSZrQR5OtNktnJVUgQv/7wXb1cjVQ224CwhxJMms5XM0jrunxDPwxO7AbAtt5L3Vu1Ha7hiQASF1Y1cMyiy0zIhzVqXxbPf7cZs1dwwNJrUgmpKa5soqWmizmTh89uHMLzr0ddHefjLrXy9JR9PZ0fmThtGj9DW14YRQghxZjv4+fri5N5ce5aPUGqvOVjBWusC++NCINj+OBzIPaRenr3sWOV5rZQf6xhHUErdCdwJEBV1dv/ATxX9In14a9k+6prMx00HKk5fxdWNODs6cOW7a6lpNFNU04jWMDzOn8GxfiRnV/DC5N6EeLvQJcD9+Ds8DidHQ6sZjQ51xYAIKupMjE8IIqO0jqcW7mRPYQ23jojlnnFx+Lo5HTFE7tpBkfi4GaltMnNp3zAKqxq5ZuY69hTWcPfYOKaPiWNwjB+9I7wprTXx885Cft5ZQEZuFRG+rnyVkse947ryzor9vLFsHz6uRjTw085CAKxac+OwmJM+/2NZn1HGD9sLGNMtkHN62t4u601mXluyj4RQT+4cHcelfcNa6jc2Wzj/tVX8Y+FOlj48ptWhHiazlcW7izivVzD/mpR4SvfSCSGEaF9XJ0UyIMqXGH+3zm7KKavNvvHa50u1a0rC4x1Daz0TmAm2Hqz2bIs4Mf2jfLBq2J5XddSeBnF6+377AR6dvx2jg4GqhmYCPJyZ2COYwbF+zFyVwdr9tjHhVw2M6NAV2x0MirvGxAEQH+zJsDh/5ifnMalfGP4ezq1uYzCow4bKxQS4M+fOYfz3l71MGRKFUookeyKXcB9XbhsZy20jY7FaNd9tP8ADc7Yy8qVlFNc0cVm/MJ6ZlAgaVqQV88naLGYsT2d0fGBLGtuTobWmpsmMl4uRmsZm1trnks1LzsWqYfb6bEZ3C8Rq1WSW1lFeZ2LmDQNb2n+Qi9GBW0bE8vS3uyioamwZ9neoDZll1DSZuXJgpARXQgghZG3K4zjZAKtIKRV6yPC9Ynt5PhB5SL0Ie1k+tmGCh5avsJdHtFL/WMcQp4F+EbbsgZtzKiTA6iBaa95Ymk5maS0vTO6Dq1P7pMg3W6y89PMe/vdrJj1CvdhTWE2MvxtLHxnbkr3o+qHRfLftAL3CvDs0uGqNl4uRW0fG/uHtYgPceWvKsceYGwyKS/qEUVTdyOLdRTx5cU8uOaSXaFK/cCJ8XZnyvw2M/+8KLuwdyuX9wymrM3HFgAgKqhpwcjQQ5Hniwcvs9dk8tXAXPUO9SCuqwWzVuDs5cEFiKM9c2ov3V2fw9eZ8grxc6B/lwz3juh4RXB3Uz57lc0tOZasB1k87C3ExGhh5jCGEQgghhLA52QDrW+Am4EX7/wsPKb9XKTUHW5KLKnuAtAj4P6WUr73eucDjWutypVS1UmootiQXNwJvHucY4jTg6+5El0B3NmcfN/GjaCPvrNzPq0vSAKgzWfjfjUcMDW5RUWdi1rpsmswWpg6Nbkl/enBuZmvDxQqrGtmcY1uRPSW7gpuGRfP3i3qydn8pgZ7Oh6WGdTE6cFVS5BH7OBMZDIo7R8dx5+i4Vl8fGO3Hr4+N48PVWXy6Ppvvt9tGPs9PyWNjZjlKwRMX9OD2UbFHzchktWrK6034uzsxa102AB7Ojtw5ugujuwUyIMoXJ0dbIPvX8xJOOFV9j1AvnBwNvLU8nbyK+paeP4DaJjPfbj3AhYmh7RasCyGEEGeSEw6wlFJfYOt9ClBK5QFPYwt65iqlbgOygavt1X/ElkEwHVua9lsA7IHUv4BN9nrPaq3L7Y/v5rc07T/Z/3GMY4jTRFK0L7/sLsJq1X8qLbQ4cXM25vDyz3u5tG8YXYM8eGVxGjvzq1pdlG9pahGPzNtGVUMzBqV4b1UGFySGsL+kjlBvF5otVjycHXnn+oFUNzbz75/34mBQLNyaT0V9M/7uTrx2TT8u62+bLjm2e1BHn+5pJ8jThb9dkMD0sXFszq5g5qoM1mWUMT4hCGdHA8//mEpGaR3PTuqF0cFAcU0jv6aVcnn/cCrqTTw0dxur0koY1sWf9OLaNptg7ORowNvVSGpBNakF1VyQGEqUvxsNJgtvLN1HbZOZ64dFt8EVEEIIIc58Jxxgaa2vO8pLE1qpq4F7jrKfD4EPWylPBhJbKS9r7Rji9JEU7cfc5DwySmvpGuR5/A3En/LjjgKeWLCD0d0C+c9VfWlotvDeyv28vSKdGVMGHNYr0ths4bGvdhDi5cKcO4fi6WLk4zWZzNmYS7PVSmpBdUvdORtzeHNZOgVVDVi1LaX5Z7cPoV+kjyQu+ZO8XY2MSwiiS6A77/+aySPndsPLxch/F+9lxvL95JTX8eLkPtz00UYySurYnlfJol1FlNfbhhRuyiqna5AHF/U5dmr1P+K6wVG8sXQfAJ+sy8LV6MCnG7KprG/mnB7B9JfFwoUQQogT8ofStJ9OJE37qWN/SS0T/rtSFhxuR7PXZ/P0wp30j/Jl9m2DWxbCfXVxGq8v3ce947ryl/N+W91gzsYc/vb1Dj67fQgjDplX09hsAeDKd9ditmgySuowWazEBrjzytV9aTLberVa6xETbWNeci6PfrUdo8GAg0ERG+DO7gLb/LYZUwfQK6x9rr3Wmiazlevf30BydgVKwcQewdw+qguDYnzP6oUkhRBCiNa0V5p2IY6rS4A7fu5OJGdVSIDVDj5Zm8XT3+5iQkIQb07p3xJcATwwIZ6i6kbeWp5OQVUjg2J8CfZ24d+L9tI73Jvhv0s84mK0zbGZb1+nava6bEprm3jgnPjD9ivaz1VJkdQ0mnl96T7enjqALoHufL05nxuHRePpYmy34yqlcDE68LcLEli6p5hrkiLbJNuhEEIIcbaRHizRIW7/JJn04hp+fnA0k99ey+MXJjAqPrCzm3Xaq2syM+KlZSSGefPxLYNazdRntWqe+nYnc5PzMJmtgC0xwjf3jJA0q6cwmbMohBBCnNqkB0t0qkExvixJLWJDZjm7C6pZu79MAqw2MGdTLpX1zTw0sdtR06AbDIrnLuvNM5cmcqCygf0ltXQJ8CBKFgg8pUlwJYQQQpyeJMASHSIpxpaZf35KHgC55fWd2ZwzgtaazzdkMyDKh4HRvset72BQRPq5EekngZUQQgghRHvp3JU/xVkjMdwbJ0cDi3YVAhJgtYUtuZXsL6nj6rNknSkhhBBCiNOBBFiiQzg7OtAn3LtlDlBuRUMnt+j0Ut3YTFpRDWCbd/Xxmkzu/2ILLkZDm6bqFkIIIYQQJ0eGCIoOMzDGl+TsCgDK60zUNpnxkHWUTsgTX+/gp52FXDEgnJ92FlLTaKZ/lA8vTO7drpnlhBBCCCHEHyPfbkWHSYr24z0y8Hd3oqzORG55PT1CvTq7Wae8qvpmftldhALmpeRxQWIIt4/qwoCo48+7EkIIIYQQHUsCLNFhkqJ9cXNy4MLeocxeny0B1gn4cHUmH6zOxGS2Mm/aMEK9XYjwlSQVQgghhBCnKgmwRIfxdXdizWPjMVs1s9dnk18p87COZVVaCf/6YTexAe5c3j+cpGhflJLU3UIIIYQQpzIJsESH8nV3wmLVKAUV9c2d3Zw/TWtNWZ2JAA/ndtl3XkUD98/ZQvdgT76+ezhuTvKnKoQQQghxOpAsgqLDORgUXi5GKutNvLo4jbyK0y9l+8drsxj+wrI2Tzf/7sr9jPn3Cm7/JBmrVfPeDQMluBJCCCGEOI20SYCllHpIKbVLKbVTKfWFUspFKRWrlNqglEpXSn2plHKy13W2P0+3vx5zyH4et5fvVUqdd0j5+faydKXU39qizaJz+boZ2ZFfxetL9/HZhpzObs4f0mCyMGP5fkwWK99tP9Am+9RaU1zdyGtL0sgpryetuIbXr+1PtL97m+xfCCGEEEJ0jJMOsJRS4cD9QJLWOhFwAK4FXgJe1Vp3BSqA2+yb3AZU2MtftddDKdXTvl0v4HzgbaWUg1LKAZgBXAD0BK6z1xWnMW83J9KLagHYlFneya1pXVltE3OTc2m2WA8r/3ZbPqW1TQR4OPPt1gNYrfqkjvPyz3vo+8wvXP3eOswWzbxpw/jyzmGMSwg6qf0KIYQQQoiO11ZDBB0BV6WUI+AGFADjgfn21z8BLrM/nmR/jv31Cco2c38SMEdr3aS1zgTSgcH2f+la6wyttQmYY68rTmO+bkZqmswAbM+rorHZ0uFtyK9s4P9+TKW8ztTqa1e9u45H52/nsa+2o/VvQdTi3UVE+Lry4Dnx7CmsYcIrK5m9Ppt6kxmrVVNZb9vf/JQ8ev9zEU8t3ElGSW2rbfhlVyFvr9hPoKcz7s6OfHjzIAbF+DE41q99TloIIYQQQrSrk57cobXOV0r9B8gBGoBfgBSgUmtttlfLA8Ltj8OBXPu2ZqVUFeBvL19/yK4P3Sb3d+VDWmuLUupO4E6AqKiokzsx0a583ZxaHpssVrblVjKki3+7HS+nrJ5IP1eUUlitmi25lTzx9Q72FtWQnFXOf67qy3srM2hotqAUbMwsp7bJzKR+YXy9OZ/bRsbSK8ybxmYLq9NLuSYpkqlDovByNfLBrxk8+c1O/rNoL6HeLragKyGI/SW1ODkYmLMxl1nrsjm/VwivXduPPYU1LNtTzOT+4Twybxu9w72ZP30Yzo4O7Xb+QgghhBCiY5x0gKWU8sXWoxQLVALzsA3x63Ba65nATICkpKSTG7cl2pW3q/Gw5xszy084wEovriUu0P2EU5Yv3l3EHbOSuXZQJAaDYvHuIkpqmnAxGrhrTBdmrsrg/Nd/xaAg1NsVq9YEeDjzvxuT8HIxsnDrAbbmVtIrzJsfthfQ2GxlQo9glFJc2jeMS/qEkpJdwfu/ZrK3qIabh8fw2YZsmi2a16/tx/C4AGaty+LNZek8PHcrm7IqKKlpYta6LADenjpAgishhBBCiDNEW6QnOwfI1FqXACilvgZGAD5KKUd7L1YEkG+vnw9EAnn2IYXeQNkh5Qcdus3RysVp6mAPlq+bkSBPFzZmndg8rK25lVw2Yw3vXj+A8xNDT2ibWeuycDAo5mzKxc3JgbHdAzmvVwhjuwfh7Wo7/ks/7WHG1AFM6BF82LZaa/zcndiWW0msvzuPL9hB3whvhh4SDCqlSIrxIynmt2F9o7sF8MP2Qi5IDMXJ0cAj53bHoBSvL92Hm5MDfSK82Z5XxcwbBhLpJwsHCyGEEEKcKdoiwMoBhiql3LANEZwAJAPLgSuxzZm6CVhor/+t/fk6++vLtNZaKfUt8LlS6hUgDIgHNgIKiFdKxWILrK4FprRBu0Un8nW39WAFeDgzKNaXBZvzMVusODoce1rgt1ttWfs2ZlacUICVXVbHr/tKefCceCYkBBMf7IGL8fDeottGxjJ1SNQR5WALnvpGeLN8bwnfby8g1t+dj28ZjJPjsds5PiGY8QmHB2sPTezGjcOiMToa0Br2FtbIXCshhBBCiDPMSSe50FpvwJasYjOww77PmcBjwMNKqXRsc6w+sG/yAeBvL38Y+Jt9P7uAucBu4GfgHq21xd4Ddi+wCEgF5trritPYwSGCgZ7ODIrxo85kIbWg5pjbWK2an3YWALA1t+KEjvP5xhwcDIprB0XRO8K71SAKOGo5QN9IH0pqmgjydGb2bYPxdXc6at3j8fdwxsvFiLerUYIrIYQQQogzUJusYKq1fhp4+nfFGdgyAP6+biNw1VH28zzwfCvlPwI/nnxLxani4BDBAA/nlkBjcWoRf52/jRev6EO/SJ8jttlbVENBVSMhXi7sPFBNRkktn23IYfHuIl69ph8Do30Pq28yW5mfnMeEhCBCvF3+dFsvSAxle14Vz07qRZDXn9+PEEIIIYQ487VVmnYh/pBDA6xQb1ci/Vx5e3k6ewpreGvZvla3SS2oBuDawZGYzFbG/3cln6zNorzOxD+/3XXEelSfb8imrM7E9UOjT6qt3UM8+fDmQUT4ylwpIYQQQghxbBJgiU7h42afg+VpC7QGxfhhtgdIAR7OrW6zt7AGJwcDU4dEMzjGj+lj4/j1sXE8d1kiO/Kr+GFHAav3lWKxaoprGvnvL2mMig9gVHxAx5yUEEIIIYQ467XJEEEh/qhQbxeuHBjBBHsiiMExfny92ZYcsrimqdVt9hTWEBfkQaCnM3OnDWspv7RvGK8tSePR+dtpaLbw2jX9WLG3mCazlWcnJZ5wOnchhBBCCCFOlvRgiU7h6GDgP1f1pXuIJwBDu/hzMA7Kr2hodZu9hTX0sNc/lMGguG1kLA3NFgBeW5LGN1sPcNeYLsQGuLfPCQghhBBCCNEK6cESp4SYAHe+u3ckX27K5ZstRy5zVlXfTGF1Y0tA9nvXDIrCydHAlpxK5mzKJdLPlXvGdW3vZgshhBBCCHEY6cESp4zEcG+i/NyoaTJTWnv4MMH0ElsK9/hgj1a3dXI0cM2gKG4cFoOzo4FnJyUeM/W6EEIIIYQQ7UECLHFKCfNxBSDpuSV8tCazpXx/SR0AXQJaD7AO6hnmxa5nzmNc96D2a6QQQgghhBBHIQGWOKWE+fy2ztT//ZjKttxKADJL6zA6KCJ8XY+7D0cH+bUWQgghhBCdQ76JilNKfLAnCSGevHxlH4I8XZj+aQpltU1kltQR5ecmwZMQQgghhDilSZILcUrxcHbk5wdHA9Az1IvJ76zl/jlbKKpuIvY4wwOFEEIIIYTobNIdIE5ZieHePHdZImvSy0gvrqVLoKRcF0IIIYQQpzYJsMQp7eqkSKYMiQKQNa2EEEIIIcQpT4YIilPe05f0pGugBxf2Du3spgghhBBCCHFMEmCJU56zowO3jozt7GYIIYQQQghxXDJEUAghhBBCCCHaiNJad3Yb2oVSqgTI7ux22AUApZ3diLOEXOuOIde548i17lhyvdufXOOOI9e648i17jin0rWO1loH/r7wjA2wTiVKqWStdVJnt+NsINe6Y8h17jhyrTuWXO/2J9e448i17jhyrTvO6XCtZYigEEIIIYQQQrQRCbCEEEIIIYQQoo1IgNUxZnZ2A84icq07hlznjiPXumPJ9W5/co07jlzrjiPXuuOc8tda5mAJIYQQQgghRBuRHiwhhBBCCCGEaCMSYAkhhBBCCCFEG5EAS5xWlFKqs9sgRFuT32txppHfaXEmkt9rcaIkwGpDSim5nu3PA0Ap5dDZDTnTKaUuVUrFdXY7zhItv8/yAS7OED4ASinHzm7ImUwpNUUp1df+WN472p/LwQdyvcWxSEBwkuxfQh/u7HacyZRNkFJqBfA+gNba0rmtOnMppc5RSq0DPgBCO7s9ZzKl1EVKqSXAK0qp0QBaMg+1C6XUZUqpf3V2O850SilvpdQi4P/Zu+/wOMpr8ePfo7rqvRfLNpJ7xcZAKAaCMSUhOLRAwCGFBG6oSX4J3ISEG0gPF0hCCLkQCL2XhF5CxxVj496LJKv3slpp9/z+mJEtG1wl70rr83kePZJmZ1dnj8fvzpm3zCsAqtoT4pDCkttOvwfcDkwBazsOJRGZJSIfAn8WkYvB8n2ohEtbbQXWQRKRKBH5MXAn8AcRmayqAetZGXhuI+Z1vyaKyOlgPYYDyS1iE0XkX8BP3a95wDD3ccv1ABOREuBW4E/AKuByEfm2+5jlewC4x3Wkm9c/AD8RkeNDHVeY6wSagPEich7YiIOB4h7PcSLyBE4bfQvwFBDvPm55PgREJAv4H+B3wMPABSJyg/uYtdUDIBzbajswDpJ7VW4NMBq4Hvibu916VgaY24AVAp8APwFuAlDVQCjjCifqaAMeUtWZqvom8Cpwtvu45XrgjQTeV9XngX/g9M5eJSJp7sUaG37ST+5x7QfW41zlvxIY8ldGByv3BD8N5+LMBTgXD1BVvx3P/ecez53Aw247/SrwIXCJ+7idfwww97jNAZaq6nOq+hbOeciPRCTT2uqBEY5ttRVYB0BErhaR34jI+e6mF1XVq6q3A9kicpG7X3Toohz6+uT5q7Dj5L4SKAM+ALaLyPdEpDSUcYaDPrk+D0BVH3e3RwCNwDYRiQ1ljOFCRM4VkRl9NpUDXxWRWLcdeRvnZOmmkAQYRtzj+u+9PYLAO6raqqp/BxJE5FvufvYZ2A998vxNERH3BKkFOFNV/w0sE5GbRGS8qqqdiB6cPnn+DoB7Uaa3oN0ErBCRolDGGE5EZK6InAo7RtC0AceKSLq7bSXws5W6nAAAIABJREFUBO4FBHPwwrmtHnIBh4LbdXkdzhW5RcDNIvINnCt1va4Hfg+gqt1BDzIMfE6ebxGRb7iN2hE4V5DqcE5C/wjc5j7PJlEfoM/J9f+4uc6CHUXtJpwTpa4QhjrkiTN/8B2c4cQ39H5QqOoa4HXgt+5+AtwNFIlIjo3vPzhu23wR8DRwiTuUZ0SfXW4Cru/tKQxBiGFhtzzPxTm2RwJJOD1YAI/h5Pt+93drqw/Qbnn+uojcKCIjYEePVQswCWdYpukHEUkTkaeA3wB/7B1yqaqbgSXAHX12vwEYISLDra0+OOHeVluBtR/c/zwnAT9V1aeA64CJwGl99nkWWCsiPwRnAmooYh3K9pDnycCpQBVwvIi8BFyG05O10X2qDYs4QHvI9SRgdp99PgTKReTLoYkyPKhqDfA8Tm63A9/t8/DNwFkiMq7PXMNWnCum5uCcAvxWVV8BfoCz6tfFvQ+q6svsnPOW1Nt7aw7Y7nmOBc7DmYN1uoi8BlwNvAVscZ9jC14cuN3zHAN8vfdBVf0Up924MDThhQ9VbQReA8YAi9l1NMH3gdkiMt39vR1YCviCGmR4Ceu22gqsfejTLbkIOB7APRjWAeNEZFSf3a8AficiVUBBUAMd4vaS5zU4J/5TcIZULVTVcTgfJjNFpMCuHh2YveR6Lc4xPdrdLxlYDViP7EHqk+s/AStxPrzPFJE8AFXdgLNa410ichzOiVM2MOSu1oVan1wvAc4CUNVFwEdAgYh8oc/uPwZ+jdOO5wYzzqFuH3keARyH0zO7QFUnq+osnLbarvQfgL3keR7O8Xycu5/gzJf12BDMg9cnd/9U1SbgLmCOiAwDUNUWnAtiPxORuTiLjIzDLoYdsMOlrbYCaze9XcK9/9n6dEuuB5JEZIL7+ztACs5wCERkMvB3nK7Oqar6QDDjHmoOIM/v4uS4Bvieqv7c3b8B+IKqVgQ18CHoII7pRHe/FpzFRXKCGvAQtqdcq2q3uzDOhzhF6zW9z1HVX+MUWd8CRgHfcieym33oOy6/z3H9ARAh7rL3wHKcnsN89zlH4Jw8PYfTVts8in3YzzyvwLkIlgTcpKo/7fMSxaq6KSjBDmEHcDxX4t5Cwy1as4F2K2APzG75Vve71/2+EHgZZ6XX3n3+jLMs/pE4K+yep6rNwYx5KNq98D9c2morsFwi8gUReQD4qYik9/5nk50LVizAGd4wS0Si3EmOBcA09/F64EpVPU9VK4Md/1BxEHlegdOQTVFVrzjLePaevNqVo70YgGMa4EJVvT+YcQ9Fe8l15G4fLnXAC0CZiBS687PSVPWfwHdV9XxVrQrBWxgyROQoEbkadl3dss/J0jqck/0LRCRSVctxLhKUuI83A99X1TnWVu/ZQeR5G86J0TBV9bnHfu98w/Yghz9kHOTxnMvO4xngh6p6X5BCHtL2km+Rzy6k8GfgCBEZJyI5InKEOqsIXqeqc6392Ds3138Hfizu/G53e+/tBMK6rbYCCxBnwuhdwH9wTuZ/KSJnwM4FK1R1Pc6QqpE4S3QCdOGOLVfVbe5YaLMH/czzZvdxv12l27eByLW7jzd4UQ9N+8i1X1VVRGLFWS3Qr6rv4nyoLMfpNcx097Wx/PsgItcCz+IUsr33w+udiN57stQKvIczJ+gP7gWFNJyLYKhqraquC3bsQ0k/8pzKzjz7dQhOTA+mgTie3X2t7dgP+8i3qrPkepyI9I7i2Oru/ylOW53sbrd533vhXlz5NXAPTi/VVODnIpIDu+QvrNtqK7AcRwGr3Cv1P8S539KXxJ0nISK3iMi9OJMe7wSOEpHFQAPO2Gezf/qT59dCE/KQZbkOnn3l+n9w7nHV+/v3cBa6+BswcSh/gITAJpwx+1fgXhToe7IjIjcDj+Bc+fwZzof1e+7vNmx7/1meg8PyHFz7yvfPcW4kPML9/Ws492P6AzBBVT8OdsBDWAVwvvu5eB1wNBDX++DhcGzL4dgZICJfwrnSvEhV57lXoB8EvqaqW0VkLHApUA0sxPkPdpN7xR/36kaUOxHS7IHlOXgs18EzALn+IrC593ezZ5+T696hJdHAM8ArqnqnO7RnHM7SyT9TZ/GQ3mFWCaraGoLwhwzLc3BYnoNrAPJ9NFCtNn9wn/rker6qLnSHyje4Ize6ROQ54BZVXSQiE3EK3LA+tg+rAsu9onwPzjCG13DW379WVV8VkT8A21W1994HF+Fcxbhd3UmMIhJhQx72zfIcPJbr4BmAXEfa0JL9s49cizvs8hSce+Gdos798fo+347r/WB5Dg7Lc3ANQL6trd5Pe8j1Nar6Wp99koD3gdN3n0sVzsf24TZEcBrwnqoer6q/xLlp3OXuY+8BE0RkhvsfqwI4wU5ED4rlOXgs18HT31zbB/b+2z3XtwPfg52rfeHMeZsHXAXOhGr3u9hxvd8sz8FheQ6u/ubb2ur993m5vnK3fY4CVqhqpYgkikgphP+xHfYFlohcKiIzRSQWeBNnKE+vepx7/wDMx1mT/zZ3uNQ4YIuIxMOuq82Yz7I8B4/lOngs18Gzj1w34Nxwcsfqam5Ob8FZoaoZmNp7dTrIoQ8plufgsDwHl+U7ePYj1yvd/XpXLE4DtonIZTjD5ifDLsVuWIoKdQCHgogIzjKmj+DcsHMD8B2cbsvtIhKtzkpqeTj/8KizNPId4txU7j6csaSXqmpHKN7DUGB5Dh7LdfBYroPnIHMdcJ83EvgHzipV16qt4rpHlufgsDwHl+U7eA4y193u088GLsZZvOICVV0W7PhDQlXD6guIdL+XAQ/1bgP+BDyz2z7/Ar7o/pztfo8CkkL9Pgb7l+XZch2OX5brIZHr9N6cAyeF+n0M9i/Ls+U5HL8s30Mi15nu968B54b6fQT7K2x6sMSZWP5LIFJEXsK5X4EfnGU4ReQaoFJETlTVd0QkBqgF1orIrcBZIjJTVRtx1uY3n8PyHDyW6+CxXAfPAOX6JFWtAWpC9DYGPctzcFieg8vyHTwDlOsTVPXRUL2HUAqLOVgiciLO/XzSgPU4B0Q3cJK4ExfVGW/7C+Bm92ke4Bs440eTcCruxqAGPsRYnoPHch08luvgGcBcNwQ18CHG8hwclufgsnwHzwDmujmogQ8i4dKDFQD+qKoPAojIFGA4cBPwV+BIcSY2PgecLCKFQD7wEHCbqn4SmrCHHMtz8Fiug8dyHTyW6+CwPAeH5Tm4LN/BY7nup7DowcKpsp+QnTeR+wAoVucO0pEicpVbaRcCAVUtV9UFqnqpHQQHxPIcPJbr4LFcB4/lOjgsz8FheQ4uy3fwWK77KSwKLFXtUNUu3XnvglNxxoECXAaMEZF/A4/iHDS9K6KYA2B5Dh7LdfBYroPHch0clufgsDwHl+U7eCzX/RcuQwSBHRPyFMgBXnA3twI3AuOBTapaAeG//v6hZHkOHst18Fiug8dyHRyW5+CwPAeX5Tt4LNcHLyx6sPoIANFAHTDRra5/htN9+X7vQWD6zfIcPJbr4LFcB4/lOjgsz8FheQ4uy3fwWK4PkoRbwSkiRwMful//UNV7QxxSWLI8B4/lOngs18FjuQ4Oy3NwWJ6Dy/IdPJbrgxOOBVYhcAnOKiZdoY4nXFmeg8dyHTyW6+CxXAeH5Tk4LM/BZfkOHsv1wQm7AssYY4wxxhhjQiXc5mAZY4wxxhhjTMhYgWWMMcYYY4wxA8QKLGOMMcYYY4wZIFZgGWOMMcYYY8wAsQLLGGOMMcYYYwaIFVjGGGPCloj4ReQTEVkhIktF5AcistfPPhEpEZGLghWjMcaY8GIFljHGmHDWqaqTVXUccCpwOvDzfTynBLACyxhjzEGx+2AZY4wJWyLSpqqJfX4fASwEMoFhwINAgvvw91X1QxGZB4wBNgEPAHcCvwFmArHAX1T1b0F7E8YYY4YUK7CMMcaErd0LLHdbEzAKaAUCquoVkVLgUVWdJiIzgR+q6lnu/pcD2ap6i4jEAh8A56nqpqC+GWOMMUNCVKgDMMYYY0IkGviziEwG/EDZHvabBUwUkXPd31OAUpweLmOMMWYXVmAZY4w5bLhDBP1ADc5crGpgEs6cZO+engZcpaqvBiVIY4wxQ5otcmGMMeawICJZwN3An9UZH58CbFfVAHAJEOnu2gok9Xnqq8AVIhLtvk6ZiCRgjDHGfA7rwTLGGBPO4kTkE5zhgD04i1rc5j52F/C0iFwKvAK0u9uXAX4RWQrcD9yBs7LgxyIiQC3wlWC9AWOMMUOLLXJhjDHGGGOMMQPEhggaY4wxxhhjzACxAssYY4wxxhhjBogVWMYYY4wxxhgzQKzAMsYYY4wxxpgBYgWWMcYYY4wxxgwQK7CMMcYYY4wxZoBYgWWMMcYYY4wxA8QKLGOMMcYYY4wZIFZgGWOMMcYYY8wAsQLLGGOMMcYYYwaIFVjGGGOMMcYYM0CiQh3AoZKZmaklJSWhDsMYY4wxxhgThhYvXlynqlm7bw/bAqukpIRFixaFOgxjjDHGGGNMGBKRLZ+33YYIBsHKyhZeWFoZ6jCMMcYYY4wxh1jY9mANJn96ax2vrqjC1xPgK5PziYq0utYYY4wxxphwZGf6QfCH8yYxpTiNHz65lKN//Sa/eGEFa6paQx2WMcYYY4wxZoCJqoY6hkNi2rRpOpjmYPl6Ary1uoYXllbwxqoaIkV48FtHMa0kPdShGWOMMcYYs1fd3d2Ul5fj9XpDHUrQeTweCgsLiY6O3mW7iCxW1Wm7728FVgjUtHq58J551LZ08ch3jmZCYUqoQzLGGGOMMWaPNm3aRFJSEhkZGYhIqMMJGlWlvr6e1tZWhg8fvstjeyqwbIhgCGQneXjoWzNIjovm0vvms7bahgsaY4wxxpjBy+v1HnbFFYCIkJGRcUA9d1ZghUh+ahyPfGcG0ZERfP3/5rO5rj3UIRljjDHGGLNHh1tx1etA37etIhhCwzISeOjbM7jgbx8x6/Z3OWV0NmdPzmfmqGw80ZGhDs8YY4wxIaSqNHd2U93SRYevh26/4usJ4PP78fUo/oBSlB5HboqHtPgYom2VYmMGBSuwQqwsJ4lnrvwCD3y4mX8vq+Tl5VWUZify2OVHk5EYG+rwjDHGGHOItHX1sK66lbXVrayrbqOmtYvGDh/1bT7ne7sPX09gv18v2RPF8KxERuckMSo3ibKcJDKTYkj2RJMSF01CrJ32maGvqqqKa6+9loULF5KamkpOTg633347c+bMYfny5aEOD7ACa1AYnpnAL748jp+eOYbXV1Zz3ROfcMm9C3j08qNJiYve9wsYY4wxZlAKBJQNtW18vLWRJVubqGjqpL7NR317F9UtXTv2i42KICfZQ3pCDHkpHsblJ5OeEEN2soec5FgSYqKIiYogJiqC6MgIYiIjEIHNde3UtXXR2NFNXVsX66rbeH1VNY8v2vaZWHKTPYzJS6IsN4msxFiSPdEkx0WRGh/DhIIUK8DMoKeqnHPOOcydO5fHHnsMgKVLl1JdXR3iyHZl/5MGkajICE6fkEd8bBTffmAhl/1jAQ9+a4Y1eMYYY8wQUN/Wxesrq9lY105Ni5fqli5WVDbT4u0BIC0+muKMBHJTPIzNT2Z4ZgJlOUmU5SRSmBZPZMSBz28Zk5f8mW2qSl2bj3U1rTR1dNPS2U1Dh4911W2s2t7Ce+vq6Ansuop0VIQwtTiNLxyRydEj0slPjSM1PprE2KjDdt6N2bOb/7WClZUtA/qaY/OT+fmXxu11n//85z9ER0fzve99b8e2SZMmsXnz5h2/e71errjiChYtWkRUVBS33XYbJ510EitWrOCyyy7D5/MRCAR4+umnKS0t5aGHHuLOO+/E5/MxY8YM7rrrLiIj+zdVx87cB6ETy7L409emcOXDH3P5g4u4d+50m5NljDHGDEKBgPLO2lr+8eFm3l9XS0AhJiqC7KRYspNiOXNiHlOL0zhyWBrDMxOCUqyICFlJsWQlff5Ug0BAafP10NLZTUtnDzWtXuZvauCD9XXc/uZa9I2d+8ZGRTA2P5nJRalMKU5jYkEKuSkeOy8xIbF8+XKOPPLIve7zl7/8BRHh008/ZfXq1cyaNYu1a9dy9913c80113DxxRfj8/nw+/2sWrWKxx9/nA8++IDo6GiuvPJKHn74YS699NJ+xWkF1iA1e3wevz93Ej94cilz7vqQC48q4owJeWTavCxjjDEmZNq7enjx0+0s3dbExtp21tW0UdfWRU5yLFfMHMmZE/IZk5c0qHt9IiLEGR7oiYY0GEsyM0dlA9DU4WPJ1iZq27po6vBR3dLFsvImHl2wlX98sHnHayTFRpGb4uHUsTnMmVrAEdlJIXo3JhT21dMUSu+//z5XXXUVAKNHj2bYsGGsXbuWY445hltvvZXy8nLmzJlDaWkpb775JosXL2b69OkAdHZ2kp2d3e8YrMAaxL56ZCFRkcJd/9nATc+v4OZ/reTC6UX88uzxRBzEMAJjjDHGHJyVlS08PH8Lz39SSVtXD8meKEZkJXJCWSYnlmVxxoS8sFjFLzU+hpNGf/YEs9sfYE1VKysrW6ht66K2tYsNtW3c/c4G7np7AxMKUvjSpDyOyE6kIDWewrQ4m+JgBty4ceN46qmnDuq5F110ETNmzODFF1/kjDPO4G9/+xuqyty5c/n1r389oHHakT/InT25gLMnF7C6qoWH5m3hoXlbUeDWr4wf1FfHjDHGmKHK2+3n5eXbWbqtmW0NHWyqa2djXTuxURGcOTGPi2cUM7U47bD6HI6OjGB8QQrjC1J22V7T6uWFTyp5dkkFv3pp9Y7tkRHCsSMz+NLEfE4bl0tKvC3aZfrv5JNP5sYbb+See+7h8ssvB2DZsmU0Nzfv2Of444/n4Ycf5uSTT2bt2rVs3bqVUaNGsXHjRkaMGMHVV1/N1q1bWbZsGbNmzeLss8/muuuuIzs7m4aGBlpbWxk2bFi/4tzvAktE7gPOAmpUdby77ffAlwAfsAG4TFWb3MduAL4F+IGrVfVVd/ts4A4gEvg/Vf2Nu3048BiQASwGLlFVn4jEAv8EjgTqgQtUdXO/3vUQNDo3mVu+MoFkTzR3vb2BvGQPV51SGuqwjDHGmLDQ7Q+weEsjb6ys5pklFTS0+0iIiaQ4I4HSnES+fvQw5kwtIDU+JtShDirZSR6+ffwIvn38CGpavGxr7KSyqZOV21t4cdl2/t/Ty7jx2U+ZVJRKVmIsqfHRZCXFcuSwNKaVpJNovVzmAIgIzz77LNdeey2//e1v8Xg8lJSUcPvtt+/Y58orr+SKK65gwoQJREVFcf/99xMbG8sTTzzBgw8+SHR0NLm5udx4442kp6dzyy23MGvWLAKBANHR0fzlL3/pd4ElqrrvvZw3dALQBvyzT4E1C3hLVXtE5LcAqvpjERkLPAocBeQDbwBl7kutBU4FyoGFwNdUdaWIPAE8o6qPicjdwFJV/auIXAlMVNXviciFwDmqesG+4p02bZouWrRof/MwZKgqF94zjxZvDy9fc3yowzHGGGOGBFWlw+dnU107KytbWFHZzMrtLVQ2eWnu7Katy1npLzpSOGlUNnOPLeHYkRmHVS/VQFNVlpU389Ly7SzZ0kRTp4+mjm7q2334A0pMZAQnlGVx2rgcSjITyEvxkJPsCYuhluFo1apVjBkzJtRhhMznvX8RWayq03bfd78vG6jquyJSstu21/r8Og841/35bOAxVe0CNonIepxiC2C9qm50g3oMOFtEVgEnAxe5+zwA/AL4q/tav3C3PwX8WURE97cyDDMiwtj8ZB5fuA1VtYbfGGOM2U1Vs5dFWxpYtLmRpeVNVDR20tTRjc+/86a9CTGRjMlLZsbwdFLinRvxjspJ4viyLOtVGSAiwqSiVCYVpe6yvcPXw8dbmnhrdQ0vflrJG6t23sMoPiaSsycXcMnRwxib/9kl6I0ZCgayBfkm8Lj7cwFOwdWr3N0GsG237TNwhgU2qWrP5+xf0Psct6es2d2/bgBjH1JKMhLo8Pmpbe0iO9kT6nCMMSZsebv9VDR10tTho8XbQ6u3hzZvD63ebufnrh5a3J9bvU4vSJu3h56AEggoAYWAOt9VlYB7bbAoPZ6jStIZmZ1IXoqHwrQ4RmYl2kWz/dTh62F5RQtrqlqoaPJS2dRJVYuXurYu6lq7dtx3Ki46kgmFKZw0KpvUhGjS4mMoSI1jXH4yJRkJtmBUiMTHRHFcaSbHlWby0zPHsKG2jcpmL1XNnSza3MgzH5fz6IKtTBuWxjlTC8hPjSM9PoaCtDhbTdkMCQNSYInIfwM9wMMD8Xr9iONy4HKA4uLiUIZySJVkJgCwub7DCixjjNlPquoWRD00d3TT1OljbVUryytbaGj30eHrodPnp2PHVw+NHd17fL0IgcTYKJI80SR5okj2RJOT5GFEZhTRkRFECESIEBHhXMnv/d0fUDbWtvPPj7bs0qMyNi+Z7544gjMn5BFlQ6R28PUEWLS5gX8t286SrY1UNnXuKKAAYiIjyEt1hpaNyU0m44gYhmUkML0kjTF5yTbcbJCLiBBKc5IozXGWeb9gejH/feYYnlpczkPztvDfzy7fZf/pJWmcNTGf0yfkkp1k50DBdriOnjrQgXP9LrBE5Bs4i1+c0mfYXgVQ1Ge3Qncbe9heD6SKSJTbi9V3/97XKheRKCDF3f8zVPUe4B5w5mD1750NXiUZ8QBsrm/nqOHpIY7GGGMGr9rWLp5dUs5jC7expb4Df+CzHw2ZibHkpsQSHx1FanwM+amRxMVEEh8TSU6Sh4K0ONITYkjyRJPs2VlQxcdE9utEo9sfoKa1i6rmTlZub+X+DzZxzWOfcMcb6/j+yUdw9IgMcpM9h0UvS1WzlyVbG1lV1UpNi5cWr3MD3BZvNxtq2mj3+YmLjuSYkRkcNTyd3BQPI7MSmewunHA45Ohwkhofw7ePH8E3vzCcrQ0d1Lf7aGz37Vg44+cvrOCWF1fypYn5TClOZUxeMmPykm1Z+EPM4/FQX19PRsbhNTdRVamvr8fj2f+Cfr8XuQBw52D9u88iF7OB24ATVbW2z37jgEfYucjFm0ApIDiLXJyCUzgtBC5S1RUi8iTwdJ9FLpap6l0i8l/AhD6LXMxR1fP3FWu4LnIB0OMPMPpnr/DdE0fwo9NGhzocY4wZNJo6fPzjg80s3NzA2mrnBrAAR5WkM314GilxzlybZI/zfXhWArnJnkFxshAIKK+trOb2N9ayuqoVAE90BMMzE5k5KoszxucxviB5UMR6MLY3d/LmqhpWbW/ZMZSy1dtDeWMHlc1eAEQgKzGWlDi3VzAumsK0OE4sy+bYkRl2Am0AWFvdygMfbubfy7bT3On0MsdGRfDlSflcNKOYyUWpQ/b/yWDW3d1NeXk5Xq831KEEncfjobCwkOjoXW83sKdFLg5kFcFHgZlAJlAN/By4AYhlZ4/SPFX9nrv/f+PMy+oBrlXVl93tZwC34yzTfp+q3upuH4GzTHs6sAT4uqp2iYgHeBCYAjQAF/YukrE34VxgAcz8/X+c76OyiY+JJC7aueLae9U1LjqS5LhospNiyXQ/rKyxMcaEK2+3n/97byN/e2cjbb4eJhakUJaTRFlOEieUZTEqNynUIe63QEBZuLmBdTVtbK5rZ+X2FuZvasAfUApS4zhlTDa5KR6SYqNI9ESRGBvtDlWMItHdluSJIjYqMmTvoXeRiapmL9UtXj7Z1sTCzY0AO4rc3nizkz1MLkplqtsT4YkOXdxmaFFVtjd7WbW9hTdW1fDckgo6u/3kpXg4vjST4ZmJFKfH7/iye3GZgdbvAmuoCfcC669vb+DRBVtp7PDh7fbT7d/7v+PYvGSuP7WMU8ZkW6FljAkblU2dfLihnjveXMu2hk5OHZvDD2aVMTo3vFYfa2z38frKal5bWcX76+vwdgf2+ZyYqAiyEmPJTIolJymWnGQPOcm9352hjyMyEwbsM6Gpw8fLy6t4/pMK5m9qoPf0IjYqghFZiZwxPpfTJ+QxMmvg/qYxfTV3dvPaiipeXVHNx1sbaWj37fJ4ZmIsU4tTGZefQkZiDBkJMQzPSmBUTpIdk+agWIEV5rr9ATq7/XT6/DsmaTd1+qht7WJ7s5dHF2xlS30Hk4tSue7UMk4ozbTGxBgzJFU2dfKnt9bz9poatrtDy0qzE7n5y+M49ojMEEd36KkqXT0B2rr6rGrY1U2bu6ph7/aWzm5q27qobe2iusVLdUvXjuFUvXKSYznuiCzG5ieTkRBDSnw0qXHRpCfEkJcSR0zUZxeI8Hb7KW/sYHlFC4u3NFLe2EFFUyeb6trp9isjMhP48uR8vjgmh6K0eJLjouzzxoREq7ebbQ2dbG3oYGtDO6u3t7JoSyNbGzp22a84PZ4zJuTx1akFOxbbMGZ/WIF1mOv2B3h6cTl3vrmOymYvafHRlOYkUZaTyOxxeRxXGv4nJcaYoa25o5u73l7PPz7cDAqzxuUwvSSdI4c5q8VF2kIH++Tt9lPT0kV1q5cNNW28t66OjzbWf+ZKPzirJOYme8hK9uAPBOjuUVq93Wxv8e7onUqKjaIoPZ6CtDiOyE7kzAl5jMsfuvPEzOGhq8dPY3s39e1dLCtv5uXlVXywvg5/QClKjyMvOY7s5FhGZCVyfGkmk4tSbTVK87mswDKA06j8e+l2Fm1xJoCvqWqlrauH2eNy+c1XJ5AaHxPqEI0xZoemDh9LtjWxcFMDD8/fSou3m3MmF3D9rDIK0+JDHV5YUFUa2n00dXbT3NlNc4fT81Xe2El5Qwe1bV3EREYQHRlBfEwkxRnxlGQkcER2ImPzkm0FPxMWalu7eGFpJUu2NlLT6vT8bqlvJ6DOrQCOyHbmcyW5K4mWZMZzYlkWwzISQh26CSErsMzn6urxc+/7m/jf19cyKjeJJ757DPExtkqTMSa0lmxt5FcvrdqxMEKEwIllWfyMJjsrAAAgAElEQVTotNGMzQ+v+VXGmMGpubObD9fX8Ul5E6u2t7K9qXPHTcXbfX4AhmcmcGJZFlOHpZGX4iE32UNeisfuZXeYsALL7NVbq6v59gOLOGVMDnd//UgbamOMCYntzZ387pU1PLukgqykWC49ehhHlqQxqTDVlug2xgwam+vaeXtNDW+vreWjDfV09exceCYzMYY5Uws5f1ohR2TbnK5wZgWW2af7P9jEL/61kqNK0rn46GJOG5dry+UaYw4pVaWiqZMlW5tYuLmBJxeV41fl28cN58qTjiDRiipjzCDn7faztaGD7c1etjd18p81Nby5qoaegDK1OJXjSrPISIghLSGG9PgY0hKiGZ6ZYCOGwoAVWGa/3P/BJv7v/U2UN3aS5Inilq+M5+zJBaEOyxgThuraurjyoY9ZsLkBcG6qe8qYHH4yezRF6Ta/yhgzdNW2dvHckgqeXLyNtdVtn3k8NiqCE8qymF6SRn5qHPmpcZRmJ5LksXt1DSVWYJn9Fggo8zbV87tX1rCuupXXrz+R/NS4UIdljAkja6tb+eb9C6lr6+L6U8s4dmQmo3KTbKUuY0zY6fEHaOrsprHdR0O7j/p2Hws2NfDqiqodt5oAiIwQJhamMKkwlZKMeEoyEyjJSKAwLc7mdA1SVmCZA7atoYNZ//sux4zM4N6502zZXWPMgHh3bS3/9fDHeGIiuXfuNCYWpoY6JGOMCYkWbzeVTZ1UNDpDpT/cUMeaqtYdi2gAREUIU4vTOHNiHqePzyU72RPCiE1fVmCZg3Lv+5v45b9XcufXpvDlSfmhDscYMwSpKtsaOlle2cyizY088NFmSrMTue8b06133BhjdqOq1LZ1sbmug8317WyobePt1bWsqW5FBKYNS2NKcRqFaXEUpMZRmObci87mrAafFVjmoPgDypy/fkh5QwdvXH8iaQl2nyxjzP7p8PXwq5dW8cInlbR4ewDnSuxp43L57bkT7WTAGGMOwLrqVl78dDuvr6xmXU0bvj4rFwJMKkrl4hnFnFiWRXZSrI08CgIrsMxBW13Vwll3vs+cqQX87txJoQ7HGDPIdfsDPL24nDveXEdVi5dzphQwbVg6EwpSKMtNJDbKVic1xpj+CASUuvYuKho7KW/sZHNdO88vrWR9jbOgRlJsFCOyE/nypHwunlFsq0IfIlZgmX751Uur+Pt7G/nb14/ki2NyiLD7ZBljXP6A8q+llby1uoa11a1srGvH1xNgclEq/33mGKaXpIc6RGOMCXuqypJtTSyvaGZDTRtLy5v5ZFsTafHRHFeaxYSCZJI90QQU/KqoKoGAElAIqLpfTpte29pFdYuX7c1ealq8eHsC+AO6y1dAlfiYSGKiIomKEKIihagIIckTza3njD8s5tdagWX6pdXbzezb36OiqZP8FA9fnlzAOVMKGJVrN9Az5nClqry2spo/vraGtdVt5KV4GJ2bRGlOEseMyGDmqCwbomKMMSH00YZ6Hl2wlcVbGqlo6tzv5yXFRpGb4iE3xUN2koe4mAiiIiKIEKeQihBBBDq6evD5FX8gQE9A6fErH22sJyEmkp+dNZa0hBhS46JJjY8h2RMVdqshWoFl+q3D18PrK6t5bkkF766rwx9QRucm8es5E5hSnBbq8Iwxh5iqUt/uY0NNG+tr23hiUTlLtzUxIiuBH5w6itPH51rvtjHGDFKN7T68Pf4dxVGkOIVShAgS0ef3CPo1lHvexnouvW/BZ+aIiUBesodhGQkUp8c7xVd8NClx0aTFx1CYFkdRejzJnqghc3HOCiwzoOraunhx2Xbuens96QmxvHjVcXZiZfpFValu6aKurYu2rh7au3po6+px7hnS5tw3pNPXg88fwNcToKvH+e7zB+j2B4iPjiI5zmmoncY6mrSEGNITYnZsS4mLJiU+mmS7keMB8QeUV5ZX8dd31rO8omXH9oLUOK75YilzphSE3VVJY4wxB6+pw8emunaaOrpp7uymqcNHQ0c35Q3OyojljZ00dvjo9n+2DokQSIiNIik2ikRPFMmeaArT4hiWkcDXjiomN2XwLFO/pwJrv5dwEpH7gLOAGlUd725LBx4HSoDNwPmq2ihO2XkHcAbQAXxDVT92nzMX+Kn7sreo6gPu9iOB+4E44CXgGlXVPf2NA3jv5hDITIxl7rElpMRFc+3jn/DqiipOn5AX6rDMENLq7aaiqZP5Gxt4Z20tn2xroqHd97n7RkYIafExJMRGEhMZQXRkBDFRzldibBRREUKHz095YwcrK53GvO89RHZXkBrH5OJUphSlkp3s2dGIJ7kNeW6y57C9YOAPKBtr29jW2EF5YyfbGjp4fWU1m+s7GJGZwI1njGZUbjIjsxLIT4k7bPNkjDFmz1LjY5hSvPeVp1WVzm4/TR3d1Lf53M+dDlq9PbR6nYusbd4eGjucGzM/v7SSLw2RWwbtdw+WiJwAtAH/7FNg/Q5oUNXfiMhPgDRV/bGInAFchVNgzQDuUNUZbrG0CJgGKLAYONItyhYAVwPzcQqsO1X15T39jX3Faz1YweEPKLP+9x0iI4RXrjnBTrbMHm2ua+fN1TW8/Ol21lS30uou2w1QkhHPUcPTGZefQm6KU/AkuF/p7vjtAz22unqcRruh3Udzp1N0tXR2U9/u49OKZpZsaaSy2fu5z03yRDE+P4W8FA/pCTFkJcUyLj+FSUUpJIVp75e328+Ti8u5590NbGvYOU4/JiqC8fnJfOf4Ecwal0uk/R83xhgTAt5uPzGREYPqXLPfPViq+q6IlOy2+WxgpvvzA8DbwI/d7f9Up3qbJyKpIpLn7vu6qja4Qb0OzBaRt4FkVZ3nbv8n8BXg5b38DTMIREYI136xjKseXcJf39nAlTNHDplxs+bQ6PYHWLS5kQ21bdS0dlHT4mXBpgY21rUDMCYvmTlTCshLjSMvxcOkwlRKMhMGPI7YqEhykiPJ2csd7+vaumjq8O1ypayhw8fKyhaWV7Ywf1MDDe0+Orud3jARGJWTxMTCFLKSYkn2uMMRE2KYWpxGVlLsgL+PQ8kfULY2dPDy8u3c9/5m6tq6mFyUytUnlzIiK5GitDgyE2MH1YeZMcaYw9NQWmq+v3d5zFHV7e7PVUCO+3MBsK3PfuXutr1tL/+c7Xv7G58hIpcDlwMUFxcf6HsxB+nMCXk8/0kFv391DfM3NfD7cyfu9aTWhKfqFi8Pz9/KI/O3UtfWBTgFSUZCDGPzU5h7bAknj86mKD0+xJHulJkYS2bivoui5s5ulpU3sXhLIx9vbeKt1bU0dvjwB3YdATA6N4ljR2ZSkBZHZmIM2UkeJhSmDKob6m6qa+fxhdt4Z20tG2p33qjyxLIsrpg5khnD0+0iiTHGGNMPA/ap786XOqQrZuzrb6jqPcA94AwRPJSxmJ0iIoS/XzqNh+Zt4daXVjHrf9/lvm9M48hhdu+bcBUIKMsqmvm0oplNte2sr23jw/V1+FU5aVQ2508rYkpxKhkJMWGx+EFKXDTHl2ZxfGnWjm2qSofPT3NnN1UtXj7aUM8H6+t4aP6WXVZOihAYm5/MtGHpFKXHkxIXTWKsM98rMTaKlLhoclM8+7wyp6p09QRQhbiY/b+K19Xjp6ali8VbGnl0wVbmb2ogMkI4ZkQGx5eWUJqdyOSiVEpz7JYLxhhjzEDob4FVLSJ5qrrdHQJY426vAIr67Ffobqtg53C/3u1vu9sLP2f/vf0NM4iICJccU8IXjsjkknsX8PMXVvCv7x9nV8LDiD+gLNzcwCvLq3hleRVVLc78pbjoSIZnJjD32BIuOXrYIRnuNxiJyI55YvmpcUwtTuO/TjqCQEBp8XZT19ZFeWMnH29pZMHmBh5fuG3HUMPPk5EQQ3RkBBHivHZEBKg6Y847fH46u/30TpnNTIyhJCOBMXnJDHfz3XuTSH/AWb1paXkTa6vbdlk4pDg9nh+dNorzjiwk23qZjTHGmEOivwXWC8Bc4Dfu9+f7bP++iDyGs8hFs1sgvQr8SkR6b5o0C7hBVRtEpEVEjsZZ5OJS4E/7+BtmEBqRlch1p5bxwyeX8uqKKmaPt5UFh6r1Na08u6SCTyta2NbQQUVjJz5/gNioCE4oy+L/jR/FMSMzyE32WCHdR0SEkBofQ2p8DEdkJzFzVDbg9EA1dXQ7qyN1ddPmrpLU2OGjoqmT6pYuAgF1CyVnfwBPTCTx0ZHExThfqrCtoYMNtW08t6SC1q6ez8QQHSmMzUvmtHE55KXEkZvsYURWAlOL02w+lTHGGHOIHcgqgo/i9D5lAtXAz4HngCeAYmALzhLqDe4y7X8GZuMs036Zqi5yX+ebwI3uy96qqv9wt09j5zLtLwNXuUMCMz7vb+wrXltFMHR6/AHOuPM92rv8vH79CcTHDJ75J2bvAgHl3XW13Pv+Jt5bV0dkhDAmL4ni9HiK0uKZUJjCSaOySRhEc4oOZ71Fm4hT2PXeJDI6UsJiaKYxxhgzmNmNhk1Qzd9YzwX3zOOKmSP58ezRoQ7H7EEgoLy+qpp319ayrrqNtTWtNHV0k53k3OfsgulF+7UIhDHGGGPM4abfy7QbcyBmjMjgq1ML+fu7G5kzpcAm0A9CH6yv41cvrWJFZQvJnijKcpI4fXweR49I5/TxecREWQ+IMcYYY8yBsgLLHDI3njGaN1ZV89PnlvPY5UfbPJ1BoK2rh2Xbmvj7exv5z5paClLjuO38SZw9ucBuIGuMMcYYMwCswDKHTEZiLD+ePZobn/2Um55fwY9mjyLZEx3qsA4r3m4/H6yv463VNSzY1MD62jZUIckTxY1njObSY0qG1I37jDHGGGMGOyuwzCF14fQiVm5v5qH5W3jp0+386LRRnD+tyFYyC4I3V1Vz0/MrqGjqJD4mkhnD0zlrYj6TilI4clgaSVbsGmOMMcYMOCuwzCEVESHc8pUJXDi9mJv/tYKfPPMp1S1dXPPF0lCHFnYa2328tbqGj7c2snhLI6urWinLSeTeudM4rjST2CjrqTLGGGOMOdRsFUETNKrK9x9Zwpurq3nrBzPJT40LdUhh45XlVdz47Kc0tPtIjI1iclEqJ4/O5utHD7PFKowxxhhjDgFbRdCEnIhwwxmjeX1VNb99ZTV3XDgl1CENeS3ebm5+YSVPf1zOuPxk7p07jYmFqbZghTHGGGNMiFiBZYKqMC2ey48fwZ//s55LjynhyGFpoQ5pyPEHlLXVrSze0shf397A9uZOvn/SEVx9Sqn1VhljjDHGhJgVWCborpg5kicWbeOX/17JM1ccawte7Cdvt5/fvbKGxxZupcPnB2BEVgJPXXEsU4utUDXGGGOMGQyswDJBlxAbxf+bPZofPrmUF5ZW8pUpBaEOadBbWdnCdY9/wprqVuZMKeCEsiymFKdSnB5v9xczxhhjjBlErMAyITFnSgH/+GATf3htDadPyLUV7vagvauHv727kbv+s57U+Bjuv2w6M0dlhzosY4wxxhizB1ZgmZCIiBB+cvpoLrl3AXPvW8Avzx5PaU5SqMMKuW5/gH8vq+TV5dWsrmphS0MHqk5B+rOzxpKWEBPqEI0xxhhjzF7YMu0mpB6Zv5XfvLyKDp+fbx43nOtPLcMTffj1ZqkqT39cwW2vraGy2UtBahyTilIYnZvM0SMyOGp4eqhDNMYYY4wxfdgy7WZQumhGMaeNy+G3r6zmnnc30tXt5+azx4c6rKBq7ujmxuc+5cVl25lSnMot54xnZlm2Lf5hjDHGGDMEWYFlQi4jMZbfnTuJuOhI/jlvC2dPKQj7VfHW17Tx5KJtfLSxnuUVzSjw49mj+e4JI6ywMsYYY4wZwgbkpjkicp2IrBCR5SLyqIh4RGS4iMwXkfUi8riIxLj7xrq/r3cfL+nzOje429eIyGl9ts92t60XkZ8MRMxm8PnhaaPIT4njqkeW0NThC3U4h0RDu49fvLCC025/l/s+2IQnKpKrTi7lhf86jitmjrTiyhhjjDFmiOv3HCwRKQDeB8aqaqeIPAG8BJwBPKOqj4nI3cBSVf2riFwJTFTV74nIhcA5qnqBiIwFHgWOAvKBN4Ay98+sBU4FyoGFwNdUdeXe4rI5WEPTJ9uaOP/ujxhfkMyD35pBQuzQ7mRVVerafGxtaOfNVTU88OFmOrv9XHhUMdefWkZmYmyoQzTGGGOMMQfhUM/BigLiRKQbiAe2AycDF7mPPwD8AvgrcLb7M8BTwJ/FuZHP2cBjqtoFbBKR9TjFFsB6Vd3ovpHH3H33WmCZoWlyUSp3fm0K//XIx1z+4CL+ctFUUuOH1sp5TR0+XltZzSvLq5i3sX7HTYFF4MwJeVxzSqmtmGiMMcYYE6b6XWCpaoWI/AHYCnQCrwGLgSZV7XF3Kwd67yZbAGxzn9sjIs1Ahrt9Xp+X7vucbbttn9HfuM3gNXt8Lr8/dyLXP7GU6be+wYll2ZwzpYDZ43OJHERD6KqavXywvo7GDh8tnd00d3azobadeRvr6QkoBalxnHtkISOzEilOj6c0J5HCtPhQh22MMcYYYw6hfhdYIpKG06M0HGgCngRm9/d1DzKWy4HLAYqLi0MRghkgc6YWMjo3mWc+LueFpZW8saqarx1VxK/OmYDT4Rl8/oBS1eJl6bYmnly0jXfW1hJwR9iKQFJsFDnJHr59/AjOmJDLhIKUkMVqjDHGGGNCYyCGCH4R2KSqtQAi8gzwBSBVRKLcXqxCoMLdvwIoAspFJApIAer7bO/V9zl72r4LVb0HuAecOVj9f2smlMbmJzM2fyw3nDGG37+6hrvf2UB2kofrTi3b95MPUI8/QHNnN53dfrp6ArR39VDZ5KWiqZO1Va3M31RPeWMnPW5FlZvs4cqZR/ClSfnkpnhIio2yBSqMMcYYY8yAFFhbgaNFJB5niOApwCLgP8C5wGPAXOB5d/8X3N8/ch9/S1VVRF4AHhGR23AWuSgFFgAClIrIcJzC6kJ2zu0yh4HICOHHs0dR39bFHW+uIzs5lotnDOv366oqb62u4e/vbWTh5kb8gc+vyZM8URwzIoPTJ+RRlBbPiKwEppekD6rhisYYY4wxZnAYiDlY80XkKeBjoAdYgtOL9CLwmIjc4m67133KvcCD7iIWDTgFE6q6wl2BcKX7Ov+lqn4AEfk+8CoQCdynqiv6G7cZWkSEX8+ZQH27j589t5zoyAjOO7Jwv4fgqSrra9rY2tBBRVMnFU2dLNjUwJKtTRSlx/Ht44aTnxpHXHQksdERxEVHkp8aR0FqHKnx0TbUzxhjjDHG7Jd+L9M+WNky7eGpw9fD5f9czPvr60iNj6YsO4lRuUl8aVI+00vSPlMINXd088ySch6Zv5V1NW07tsdERlCcEc9lXyjh/GlFREcOyC3hjDHGGGPMYWJPy7RbgWWGnG5/gCcXlfNpRTPrqltZtb2Fdp+fkVkJjMhKpM3bQ2OHj8YOH/VtPnoCyqSiVC6YVsSYvCQK0uLITIi1OVPGGGOMMeagHer7YBkTNNGREVw0Y+cqkZ0+P/9aWskLSyvZ1tBBYmwURenxTCxMISspltPH5zG+ICWEERtjjDHGmMOFFVhmyIuLieT86UWcP71o3zsbY4wxxhhzCNnEE2OMMcYYY4wZIFZgGWOMMcYYY8wACdtFLkSkFtgS6jhcmUBdqIM4TFiug8PyHDyW6+CyfB96luPgsVwHj+U6eAZTroepatbuG8O2wBpMRGTR560wYgae5To4LM/BY7kOLsv3oWc5Dh7LdfBYroNnKOTahggaY4wxxhhjzACxAssYY4wxxhhjBogVWMFxT6gDOIxYroPD8hw8luvgsnwfepbj4LFcB4/lOngGfa5tDpYxxhhjjDHGDBDrwTLGGGOMMcaYAWIFlhlSRERCHYMxA82OaxNu7Jg24ciOa7O/rMAaQCJi+Tz0EgFEJDLUgYQ7EfmyiIwMdRyHiR3Hs32AmzCRCiAiUaEOJJyJyEUiMsn92dqOQ8/T+4Pl2+yNFQT95J6EXh/qOMKZOLJF5G3g/wBU1R/aqMKXiHxRRD4C7gXyQh1POBORM0XkDeA2ETkBQG1i7CEhIl8RkV+GOo5wJyIpIvIq8AqAqvaEOKSw5LbT7wG3A1PA2o5DSURmiciHwJ9F5GKwfB8q4dJWW4F1kEQkSkR+DNwJ/EFEJqtqwHpWBp7biHndr4kicjpYj+FAcovYRBH5F/BT92seMMx93HI9wESkBLgV+BOwCrhcRL7tPmb5HgDucR3p5vUPwE9E5PhQxxXmOoEmYLyInAc24mCguMdznIg8gdNG3wI8BcS7j1ueDwERyQL+B/gd8DBwgYjc4D5mbfUACMe22g6Mg+RelVsDjAauB/7mbreelQHmNmCFwCfAT4CbAFQ1EMq4wok62oCHVHWmqr4JvAqc7T5uuR54I4H3VfV54B84vbNXiUiae7HGhp/0k3tc+4H1OFf5rwSG/JXRwco9wU/DuThzAc7FA1TVb8dz/7nHcyfwsNtOvwp8CFziPm7nHwPMPW5zgKWq+pyqvoVzHvIjEcm0tnpghGNbbQXWARCRq0XkNyJyvrvpRVX1qurtQLaIXOTuFx26KIe+Pnn+Kuw4ua8EyoAPgO0i8j0RKQ1lnOGgT67PA1DVx93tEUAjsE1EYkMZY7gQkXNFZEafTeXAV0Uk1m1H3sY5WbopJAGGEfe4/ntvjyDwjqq2qurfgQQR+Za7n30G9kOfPH9TRMQ9QWoBzlTVfwPLROQmERmvqmonogenT56/A+BelOktaDcBK0SkKJQxhhMRmSsip8KOETRtwLEiku5uWwk8gXsBwRy8cG6rh1zAoeB2XV6Hc0VuEXCziHwD50pdr+uB3wOoanfQgwwDn5PnW0TkG26jdgTOFaQ6nJPQPwK3uc+zSdQH6HNy/T9urrNgR1G7CedEqSuEoQ554swffAdnOPENvR8UqroGeB34rbufAHcDRSKSY+P7D47bNl8EPA1c4g7lGdFnl5uA63t7CkMQYljYLc9zcY7tkUASTg8WwGM4+b7f/d3a6gO0W56/LiI3isgI2NFj1QJMwhmWafpBRNJE5CngN8Afe4dcqupmYAlwR5/dbwBGiMhwa6sPTri31VZg7Qf3P89JwE9V9SngOmAicFqffZ4F1orID8GZgBqKWIeyPeR5MnAqUAUcLyIvAZfh9GRtdJ9qwyIO0B5yPQmY3WefD4FyEflyaKIMD6paAzyPk9vtwHf7PHwzcJaIjOsz17AV54qpOTinAL9V1VeAH+Cs+nVx74Oq+jI757wl9fbemgO2e55jgfNw5mCdLiKvAVcDbwFb3OfYghcHbvc8xwBf731QVT/FaTcuDE144UNVG4HXgDHAYnYdTfB9YLaITHd/bweWAr6gBhlewrqttgJrH/p0Sy4CjgdwD4Z1wDgRGdVn9yuA34n8f/bOOzyu6sz/3zN91MuoS7bcG67YBgKmQwIkIZBCgMQsm90U0siWLMlvs1kCWZIsmwKEdEoSIBASIEAoBgy4YIx7L3JT16hM0/Ryfn+ce+7cO0XSzMj3jsz5PA+PrdEIv3rn3Pe87byH9ANo0VTQKc4Yej4M5vgvB2upeo9SughsM7mYENIiske5MYauj4Ct6fnS+yoAHAIgKrJ5otD1/QAOgG3e1xBCmgCAUnoMbFrjg4SQC8Acp3oAUy5bpzcKXe8E8GEAoJRuA/AOgBZCyPmKt/8HgHvA7HijlnJOdcbR80wAF4BVZrdSSpdRSq8Es9Ui058DY+h5C9h6vkB6HwE7L2sTLZj5o9Dd7ymlbgAPArieEDIdACilXrCE2HcIIbeADRlZBJEMy5n3i60WAVYKvCTMHzZFWbIDQDkhZLH09VsAKsHaIUAIWQbgN2ClzhWU0ke1lHuqkYOe3wbTsRPAFyml35XePwLgfEppj6aCT0HyWNNl0vu8YMNFGjQVeAqTTdeU0qg0GGczWND6df4zlNJ7wIKszwGYB+Bz0kF2wTgo+/IV63oTAAORxt4D2AdWOWyWfmY2mPP0LJitFucoxmGCet4PlgQrB/BflNL/VPwvplFKT2gi7BQmh/XcC+kKDSlorQfgFwFsbqTom0p/hqQ/3wPwEtikV/6eB8DG4p8NNmH3k5RSj5YyT0VSA//3i60WAZYEIeR8QsijAP6TEFLDHzaSHFixFay94UpCiEk65NgCYKX0/WEAt1FKP0kp7dVa/qlCHnreD2bIllNKQ4SN8eTOq8gcjcEkrGkA+DSl9BEt5Z6KjKFrY8rmMgTgbwDmEkJapfNZ1ZTS3wP4AqX0U5TSfh1+hSkDIWQ1IeRrgHq6pcJZOgrm7N9ACDFSSrvBkgTt0vc9AL5CKb1e2Ors5KHnLjDHaDqlNCKtfX7e0K+x+FOGPNdzI5LrGQD+jVL6kEYiT2nG0Dch6YMUHgAwmxCyiBDSQAiZTdkUwW9QSm8R9mNsJF3/BsB/EOl8t/Q6v07gjLbVIsACQNiB0QcBrAdz5u8ihFwNJAdWUEo7wFqqZoGN6ASAMKTeckppl9QLLchCgXo+KX0/LrJ04zMZupbeE9JO6qnJOLqOU0opIcRK2LTAOKX0bbBNZR9Y1dAhvVf08o8DIeR2AM+ABbL8Pjx+EJ07Sz4AG8DOBN0rJRSqwZJgoJQOUkqPai37VKIAPVchqec4nYIH07VkMtaz9F5hOybAOPqmlI1ctxNCeBdHp/T+vWC2ukJ6XZz7HgMpuXIPgF+DValWAPguIaQBUOnvjLbVIsBirAZwUMrU/xvYfUsfIdI5CULI3YSQ34EderwPwGpCyHYAI2C9z4KJUYieX9VH5CmL0LV2jKfr74HdccW//iLYoItfAVgylTcQHTgB1rP/JUhJAaWzQwi5E8DjYJnP74Bt1hukr0Xb9sQRetYGoWdtGU/f3wW7SHim9PWNYPcx3QtgMaV0h9YCT2F6AHxK2he/AeBcAHb+zffD2ibvx2IAIeQjYO6Cn80AACAASURBVJnmbZTSLVIG+g8AbqSUdhJCFgJYC2AAwHtgD9h/SRl/SNkNk3QQUpAFoWftELrWjknQ9eUATvKvBdnJoGveWmIG8FcAL1NK75NaexaBjU7+DmXDQ3ibVSml1KeD+FMGoWdtEHrWlknQ97kABqg4PzguCl2/Syl9T2qVH5E6N8KEkGcB3E0p3UYIWQIW4J7Ra/t9FWBJGeVfg7UxvAo2f/92SukrhJB7AfRRSvndBzeBZTF+SqVDjIQQg2h5GB+hZ+0QutaOSdC1UbSWTIxxdE2ktsvLwO7Cu4yy+/GUPy/W9QQQetYGoWdtmQR9C1s9QbLo+uuU0lcV7ykHsBHAValnqc7ktf1+axFcCWADpXQNpfQusEvjPi99bwOAxYSQc6QHqwfAhcIRzQuhZ+0QutaOQnUtNuyJk6rrnwL4IpCc9gV25m0LgK8C7EC19CcR63rCCD1rg9CzthSqb2GrJ04mXd+W8p7VAPZTSnsJIWWEkDnAmb+2z/gAixCylhByMSHECuB1sFYezjDY3T8A8C7YTP4fS+1SiwCcIoSUAOppM4J0hJ61Q+haO4SutWMcXY+AXTgpT1eTdHo32IQqD4AVPDutsehTCqFnbRB61hahb+2YgK4PSO/jE4urAXQRQm4Fa5tfBqiC3TMSk94CnA4IIQRsjOnjYBd2HgPwz2Blyz5CiJmySWpNYB88KBuN/DPCLpV7CKyXdC2lNKDH7zAVEHrWDqFr7RC61o48dZ2Qfm4WgIfBplTdTsUU16wIPWuD0LO2CH1rR566jko/fi2Am8GGV9xAKd2jtfy6QCk9o/4DYJT+nAvgj/w1APcD+GvKe54HcLn093rpTxOAcr1/j2L/T+hZ6PpM/E/oekrouobrHMAlev8exf6f0LPQ85n4n9D3lNC1Q/rzRgCf0Pv30Pq/M6aCRdjB8rsAGAkhfwe7ryAOsDGchJCvA+glhFxEKX2LEGIBMAjgCCHk+wA+TAi5mFLqApvNL8iA0LN2CF1rh9C1dkySri+hlDoBOHX6NYoeoWdtEHrWFqFv7ZgkXV9IKX1Cr99BT86IM1iEkIvA7vOpBtABtiCiAC4h0sFFyvpt/xvAndKP2QD8A1j/aDlYxO3SVPAphtCzdghda4fQtXZMoq5HNBV8iiH0rA1Cz9oi9K0dk6hrj6aCFxFnSgUrAeD/KKV/AABCyHIAMwD8F4BfADibsIONzwK4lBDSCqAZwB8B/JhSuksfsaccQs/aIXStHULX2iF0rQ1Cz9og9KwtQt/aIXRdIGdEBQssyn6KJC+R2wRgGmU3SBsJIV+VIu1WAAlKaTeldCuldK1YBDkh9KwdQtfaIXStHULX2iD0rA1Cz9oi9K0dQtcFckYEWJTSAKU0TJN3F1wB1gcKALcCWEAIeQHAE2CLhk9EEeSA0LN2CF1rh9C1dghda4PQszYIPWuL0Ld2CF0XzpnSIghAPpBHATQA+Jv0sg/AtwGcBeAEpbQHOPPn759OhJ61Q+haO4SutUPoWhuEnrVB6FlbhL61Q+g6f86ICpaCBAAzgCEAS6To+jtg5cuNfBEICkboWTuErrVD6Fo7hK61QehZG4SetUXoWzuErvOEnGkBJyHkXACbpf8eppT+TmeRzkiEnrVD6Fo7hK61Q+haG4SetUHoWVuEvrVD6Do/zsQAqxXAZ8GmmIT1ludMRehZO4SutUPoWjuErrVB6FkbhJ61RehbO4Su8+OMC7AEAoFAIBAIBAKBQC/OtDNYAoFAIBAIBAKBQKAbIsASCAQCgUAgEAgEgklCBFgCgUAgEAgEAoFAMEmIAEsgEAgEAoFAIBAIJgkRYAkEAoFAIBAIBALBJCECLIFAIBCcsRBC4oSQXYSQ/YSQ3YSQfyWEjLn3EULaCSE3aSWjQCAQCM4sRIAlEAgEgjOZIKV0GaV0EYArAFwF4Lvj/Ew7ABFgCQQCgSAvxD1YAoFAIDhjIYSMUkrLFF/PBPAeAAeA6QD+AKBU+vZXKKWbCSFbACwAcALAowDuA/ADABcDsAL4OaX0V5r9EgKBQCCYUogASyAQCARnLKkBlvSaG8A8AD4ACUppiBAyB8ATlNKVhJCLAfwbpfTD0vs/D6CeUno3IcQKYBOAT1JKT2j6ywgEAoFgSmDSWwCBQCAQCHTCDOABQsgyAHEAc7O870oASwghn5C+rgQwB6zCJRAIBAKBChFgCQQCgeB9g9QiGAfgBDuLNQBgKdiZ5FC2HwPwVUrpK5oIKRAIBIIpjRhyIRAIBIL3BYSQOgC/BPAAZf3xlQD6KKUJAJ8FYJTe6gNQrvjRVwB8iRBilv4/cwkhpRAIBAKBIAOigiUQCASCMxk7IWQXWDtgDGyoxY+l7z0I4C+EkLUAXgbgl17fAyBOCNkN4BEAPwObLLiDEEIADAL4mFa/gEAgEAimFmLIhUAgEAgEAoFAIBBMEqJFUCAQCAQCgUAgEAgmCRFgCQQCgUAgEAgEAsEkIQIsgUAgEAgEAoFAIJgkRIAlEAgEAoFAIBAIBJOECLAEAoFAIBAIBAKBYJIQAZZAIBAIBAKBQCAQTBIiwBIIBAKBQCAQCASCSUIEWAKBQCAQCAQCgUAwSYgASyAQCAQCgUAgEAgmCRFgCQQCgUAgEAgEAsEkIQIsgUAgEAgEAoFAIJgkTHoLcLpwOBy0vb1dbzEEAoFAIBAIBALBGcj27duHKKV1qa+fsQFWe3s7tm3bprcYAoFAIBAIBAKB4AyEEHIq0+untUWQEPIQIcRJCNmneK2GELKOEHJU+rNaep0QQu4jhHQQQvYQQlYofuYW6f1HCSG3nE6ZpzqJBEUiQfUWY8LE4glQOnXkBQBKKeJTRMeJxNSRNZ6gU2ItTBV9KqGUIhZP6C3GhJlqdiyVqbKWOZRSRKfQ+gCYjqfKszjV1sNU0KvYh7Vhqq3dYuJ0n8F6BMCHUl67A8DrlNI5AF6XvgaAqwDMkf77PIBfACwgA/BdAOcAWA3guzwoe7+zo9OFfT0e1Wv//Ptt+O7f9usk0cR4YU8v3IEI/OEYln9vHdYdGNBbpKwEIjH8dUe3ysC8fXQIS+98Fd5QVEfJ0ulwjmLzsSHVa3e/eBBrH3pXJ4nG560jg+gcDgAArvrZ2/jthhM6S5ROIkHx1LYuhGNxdI0EMP87L+FAr1dvsbIy6Avj5X39qtf++G4n1vxofVFulLu73NjT7Va99qXHtuP/PbtXJ4ly48U9fXD5I/LXo+EYlt35KtYfduoo1fj4wzE8s7MbAHsOl39vHdyByDg/pQ8dTh+2HB9WvXbn8/tx6yPv6SRRdt5W2DTOFT95Cw9tOqmPQBMgnqB46r0uRGIJnBzyY/53XsLRAZ/eYqXh9IVk2/an97qw5odvFKVNA5hd29vN/LPbHtuBO/6yR2eJxueFPb0YUdiyQCSG5d97Fa8dLG5bVqyc1gCLUvo2gJGUl68F8Kj090cBfEzx+u8pYwuAKkJIE4APAlhHKR2hlLoArEN60Pa+5K4XDuB7zx9QvXZi2I+Tw36dJBoflz+Crzy+E8/s7MGIPwJfOIa9KUFiMfHq/gH8y1O7cVKxYZ4c8mM0HMPwaHE5Iw+u78DX/7RL9dqpYT8O94/qJNHYUEpx2x+347cbjwMATg4FcKII1+7OLje++fQevHV4ED3uIKJxis6R4pOT89S2Lnzpse0IRePya3u73ejzhBApwirF9188mJYUOjkUwMmhQJafKB48gSi+/PgOPLOzR35tZJTZtWKX/+V9/fjGk7vRORzAqeEARsMxHB8qznV9/xsdaQ7q7m4POovQXtz+5C7ZpgHMzp0c8uNUEcrKeefYML75lz3YfGwIXa6AZOOKb/3+fvMpfOmx7XIg2FukNg0A7n7xAO556SAA4OSwv6j9HADwhqL4yuM78fi7yW43VyAKbyhW1Gu3mNHjDFYDpbRP+ns/gAbp7y0AuhTv65Zey/Z6GoSQz4NVvzBt2rRJFLk48Ydj8ATVVZRQJI5gJJ7lJ/RnNBxjf4ZisgPY4w7qKdKY+BTycoKS3IFILOPP6MVoOIZBXxiBSAwlFvZoB6NxuAIRUEpBCNFZQjWuQBT+SByjoRhi8QQi8QRCRbh2u13M0RgNx2A2sZxUoAjl5IyGY6CU2Qeb2QgA6POEAAChSAJWk1FP8dIYDccw4A2pXgtG4whEi1fHnFHJBnC7BiTtQ7DI5ecy+8JRWdZedxArphVfg8hoKKbSMQD0Fem+MRqKqfaLSDyBBC1um3HUyapVo+EYLEZm44px/Xa5AqAUCEbisnzFaNMAwBeKwSLtF6FoHMP+4krIphIIM32eUiSTuS+pXLvRaBTd3d0IhdQ2+/2AzWZDa2srzGbzhN6v65ALSiklhExafZdS+msAvwaAlStXFmfdeBIJRuMY8IYRisZlRyoYjRelYeTwoCqgkLPHVZwbJQDZ4VcGU9zohIpMz1yf3a4g5jaUy6/FExTeUAyV9okZBa3gn3sgEkcoxrKQxbh2eQIgEInDbi5+51m5KdZKr/VKv0MwGkclimsdcOfDH46h1JpMDNiL2CHlZHJA5ACryOVXysllLVZbHIzGVTqOxBIYHA2jzFpcc7p4okgpayhSvLaN0+FkXQ6BSBxxE5X/XmzIe0Y0Jq/ZYrRpALNrMencVTAahy8UgzcURYWt+GQFkuuzy5UMsEIZkkXd3d0oLy9He3t70SVtTyeUUgwPD6O7uxszZsyY0M/ocQ/WgNT6B+lP3tzZA6BN8b5W6bVsr7/vGPCGVJneoGS4lRWgYgqwOpy+tCAk06be69F3U6eUpp1l4wQVASFHNjoRfVsTPIGoqnTP5eoaSc9AuXTOnnWNBOAJqKutPW4mZyAaV22WenKg15s2XIFv6sqsqd7OczgWx5EsZyRSN0VKKXrdIdVreuL0htDvUdgxRWKAE4oUjx3jHBlIt2dJW5CegCkW+RMJiv296fZNGRzy36NX56qQJxBV2S8O39f4eZsBbwiU6pvk6hwOpJ1Z44ki5X6RrLTovx729XgyDo/hAVZQsRb01G0oGs94BkyZ7CqWSrHTF0qrwAPSmo2o9wu9ny8AODrgy7h/8de6RtT+pPJ7ABAKhVBbW6tpcEUpVdlYPSCEoLa2NqfKnR4B1t8A8EmAtwB4TvH6Wmma4LkAPFIr4SsAriSEVEvDLa6UXnvf8dXHd+Lfn072ofMFx3ulKaUIRYujzSoUjeOa+zbiia2dqtcD8qYekzejfk9I1wk7bx8dwofv3yhvMkrkACucIcDS2bB//+8H8NnfbZW/5rpV9s6HJR2P6Hx4/ZaHtuLeVw+rXuuWA5eYwlHVT6ddIwFcfd8GrDuoHrqi3NRDUaZPvauXf93Rg2vu25Bx0EpA4TgDgCcYLZrAEAC+/PgO/MtTybOCmdZtKFZcAVYoGsdH7t+I321UD2HhsvuVDkisOOwDZ/1hJ665byNOppyvSrY6xxXt2vq2/fzktSP4zO/Sh/IEI3EpoGLPH3dUo3H9ph/e8vBWfP/Fg6rXeKdDQNHOWCz7xYFeLz58/8aMw1eUFSyuYz1txZ+3deGa+zbCr9BjNJ6QAxllIKi3Tfv2X/fhG0/uSns9EInL64H7OnoHWNF4Ah95YCMefLMj7XvBKJO1zxOUn6ls3TpaV65GwzEcdY7qvu/m+nuf7jHtTwB4B8A8Qkg3IeRzAH4A4ApCyFEAl0tfA8DfARwH0AHgNwBuAwBK6QiAuwC8J/33Pem19xWRWAK7utxwSgaGUprM/EqOSbiI2qxG/BGEYwkMeMOq15WbOn94o3GKodFw2v9DK3gvv9OXIQuVqUWwSDbMbSddKpnlEr8yAyXJP6LzQI5eTzAty8erKv5wcWRNuXzOFDmTrYyxovns+6RhG5kqk8mkAFuzve70NaIXLn8E20+54PQln/fkumV2LBpPIBqnRZEo4rgDUYRjCXkqGCdjhpc7JUUif69ULVTqHFDbNuUZLD3pdafbCSCpZ3+EO4HJ9+hlM/o8wbTBBbwdMGPLqM7P3vZTzG1KXQcuf0Q+H1QsNo4Pr3Arzpj3e0LgeVh/OJYMBPW2xRn2NoCty0CEtehHYrzbSN8EhicYRSiawOZjw2nf4x05CZq0A8WSHIjG2Qc/la4aAU7zGSxK6Y1ZvnVZhvdSAF/O8v95CMBDkyjalONQvxeReAI+6fAsPzgLAF2KFiZA/4cBgDx8wxdKH8IBqDNQAKsSNFTYtBNQQVLW9BJ0Jp0GeRVDRwfKE4zKE7+i8QTMRoMsj7KHmsutZwUrFGVZ0VT98hZBZVurnmuXrwOvQk5KaUoFq0jaQ8dYsyFFEgNQO816ZwA3dgwhQZN2Qel88HVbLJu6Eq7vQ/3q8fzFnIDheLPYYlWyi1eGdG7XdksOILdpnNRWq9S2+HKNz7Vwm9bhHEUklpCHGWT67IuleryriwWDqeugYzDZuRGIxGGQsvTFYIuZrHYA6s9ceYZbb5vmCUZlG8bhSSKAykkBQP8EBtfrnm636uw+oP68u0aCmF5bWjRrl3c4xRUj+fv7+3H77bfjvffeQ1VVFRoaGvDTn/4U119/Pfbt25ftf6UperQICvJgd7faOCoXPM/8Jg1OQvdLOt2BdGcVSN3UFQGWjoereZbMG0xvtwqmOKtAcQSyykw6d7J537/qDJb0mp5nsGQHL5x6BktRGSoCnfI1qwxa3IGoquWuGOQEFGt2rBZBScY+T3pFUy/ePjIIIKnj1E1d+VosUTyX3/KzNqdGAqq2Jd5WU4wVCw6XPTUYz3Qe1h2Iqn4/rfFmSRyk2mHlmg7pkOzgcsYSFMdUAUpM9SegqGjqvB74XXOpuuXtgQaiTiLpmkDMYIuVPoJyzept0zyBaJodVn7Wyr1X7yEyfI+Lxil2dqrvHlSu2WJLdsUTCelP9jWlFNdddx0uvvhiHDt2DNu3b8c999yDgYHiulNVBFhThN1dknEMx5BIUNWC70wJsIBku6BeeIJ8U1cbHqXzpzSMemZ2MjnWnEwBVrgIzljsVlzMyjf75CHVgHzLfaQIzmAlA9iUCpYrw4FlHStDmYIWdaY8VjRZUzmBERyj6iptmD1F0iJIKcXbR1mAFYjEEY0nMiaKlA6z3hs7h68NSqEaLhLMMCGuGM6wKEkmu1IqWBmGXADq4EVrkus6m6zF0faqbF1TVjUz7RfFcCbPF4rKlapU3XY4R2EzG9BcZUewSFoE3ZL/oJRVVcFSdhPoKGc0noBPaldUJoOUz75yPLv+FaykLO+dVJ+0CWXyKYskOSBXsKQ/169fD7PZjC9+8Yvye5YuXYq2tjb561AohFtvvRWLFy/G8uXLsX79egDA/v37sXr1aixbtgxLlizB0aNHAQB//OMf5de/8IUvIB4v/HcurhmngqzwAItS1ofOF36FzZR0TFLaEuwW/e6GyBa0yO1L4Zi88djMBl0NTzIYHN9ZVb+mn9HZ1ZUMsHwhFnSHYwlU2EzwhmJwBaKwmZP5Ez0rWMm1kNwsAxEmo9lIimZylSdDpp9v6mYjSWkRLI4KVmoCA0hvEezzBGE2EkTjVFdn5PCADwPeMBY0VeBgn1d1F16FzSTdcUNluwCwLHoxjDVWTsA81O/DcumuqIwOdRGsZSXubFUhOdkVk9qFDAhFE+h2BTG7vlxzOYGkY62UNRpPJMddK9pe9VzTbuV66PMBy9nfM9kHOQjX0Wbs7fGAd1dlqmDNdJQhQSkCkbii3VHHZFeWCpb8mRdJIKgMAH2hGGpKLQDUMvHzz3r7OUBSr+U2U1qAlcmnDI5zzu3O5/fjQK834/fyZWFzBb77kUWq1/jzn5AW8b59+3D22WeP+f/5+c9/DkII9u7di0OHDuHKK6/EkSNH8Mtf/hJf//rXcfPNNyMSiSAej+PgwYN48sknsWnTJpjNZtx222147LHHsHbt2oJ+F1HBmgKMhmPoGBxFcyU7o+QLxeQNfW5DObyhmHR4Mb1NRS+ytd2psqaROAgB2mtLdT38mS3DC2RpESwCB2pPt1uxHpJT4vj9V10jAdWGPuJP/920QtmixMcs8+rVDEcpYtI9XQBUo5g1lzND0KKUs5hGA2cKBjlp7VTuEKbXlgLQd82+dZhVrz68pAlAuh0LROIY8UfUzmnRBClM3xaTAYf6FBULKfGidqiLY41wPNkqWMoWwWgcMxxlANTVIS3h55oA9TOo1GMyaZBc03oELtymWUwGHOxPVjS5fDFF94CydV8v9kgt5U2VtrS2/Q7nKGbXl8FuMUrnYfUPCDMl5XrcQcxwsM88UCRJOWUlU+nrqAIsKbk5w1GGfm9I10ENXK+XzKvH9lMulSwBhQ/Bz/UXS0IxtYI1ETZu3IjPfOYzAID58+dj+vTpOHLkCM477zz8z//8D374wx/i1KlTsNvteP3117F9+3asWrUKy5Ytw+uvv47jx48XLLeoYE0B9naz7NMFcxx4als3vKFkMDWnoRzbTrkkhzpziVoPslWwlA5qMBqHzWRES5W9SFoEMwRYGapVejvZ/Z4QBrxhfGplq7wegqnrwRVAbZlF/hlXEbQIxqTW1hKLSa4Mzakvx5GBUXkTiicoonEKi0n7CwwztSf1uIOwmQ1oqbJjaDRSFG0pwMTOYCkHApzVUoEO56iul4e+fXQQ8xrKMbueOfLeUFTOTM5t5Os2WFSJIo47EIXJQHBWc4XKoU4Gs8U75CLZbpWlm0AKsObWl+PIgE83W+xROquKda08CxSIxuEPs4TiOTNq0KHT6Gb+/C1vq0oJuNWBtsVkkNdBJJ5ALJ6Ayah9Xnt3lxvTakrQWGlT6TYQiaHHHcQNq9ow7A8jEInDatI/cMk0cKjXHcS8RrZfqNvK9Q8EAbWvk6lFcFZdKQ72eTHgC6Olyq6dkArcwSgIAS5bUI+/7e7F/l4vlrZVAUg+Z7Pry7DuADvLFBonOZBaaTpdpAZYixYtwtNPP53X/+umm27COeecgxdffBFXX301fvWrX4FSiltuuQX33HPPpMkMiArWlICftzl/tgMAe5C5cZnXwJyVrpFAyjkAnTPsfFPPdgZLKvHbLUY0V9lV/dVa48lyRghIb7cCgLDOGT7eHnjBnDoAbBPisvD10DkSkGU3EH1bBD0ZNiH+eXNne0Qhn16OaaZWqh5XEC1VdpRYTKphHHo+X4kEHXvypWLNxhMUA96QXJ3Qa80GIjG8d8KFi+bVyS1/3lBUlmdufXLdqiawFcs5pmAUVSVmLGiqwKE+r1xlDWYYy10skyY52RJIykA8FImjzGZCY4VNtwBL6awqHWv1gKGYfEZslrRm9LAX3KadO7MWTl8Yw9I1I0q7EJAGoISV+7JOZ6N3d7mxtK0KFTazymYcH2STaGfXl0k2Tv+zTdF4AqPSoBXuP/Bprm01JbCZDewezSIY064806T0dZR2iyc3+V6n56ALTyCCCpsZ582sBaA+hxWMxmE3GzGttgTD/gj84eJowwSSgRVvEbz00ksRDofx61//Wn7Pnj170NXVJX+9Zs0aPPbYYwCAI0eOoLOzE/PmzcPx48cxc+ZMfO1rX8O1116LPXv24LLLLsPTTz8Np5PdETcyMoJTp04VLLcIsKYAe7rdaKuxyy0RPqVj0ii1hLkCRZX55ZtlIBJXlaGVGZFAhD3QzVV2eIJR2ahqL6vUbhXOUMHizmoG3eql4z3dbpgMBOfOqAHAnGyuV0e5FTWlFnSNBOUNqLHCpvOQi+S/zZ28HlcQJgNBu6MEADCsuKdLL6c62xmsluoS1j4TKY5LOFmrJf+7es3GVa1JMQyNhhFLULRU22E1GXQLDLccH0YknsBFc+tQbmONE8p1q2xtDReRHeN4AlFU2s2Y31QBbygm38PE5QvHErITUAwtxEqynsFSVN9CsYRki226JbvcAaWdSK8IAmw/4S2Ms+r0Sxq4gxEYDQQr29lZvMNSVTNTO2Om9lEtcfpC6PWEsLS1EhU2k8pm8AmCLMAyFsWl755gekJuaJTdq8mTXcqW9+KpYGVuEeR7G1+vunbrSImi+gobpteW4N0T6gCrxGJEWzXbk7tcgYwdPHqQWsEihOCZZ57Ba6+9hlmzZmHRokX41re+hcbGRvlnbrvtNiQSCSxevBg33HADHnnkEVitVjz11FM466yzsGzZMuzbtw9r167FwoULcffdd+PKK6/EkiVLcMUVV6Cvr69guUWL4BRgd5cHy6dVyY6JNxgDv1C6ocImHUoMoqok2RKm9wOhNJKj4Zgsm9LwuPwR1n5Vzcrlfe4g5jRoe7g6Gk/AL+kqUzVArriF08v/ejlQu7vdmN9UjtoyKwDW0sbltJuNaKu2o9uVrAQ0V9mxvdOlW3uKchPyBJMVrKYqG0otbE2P+NMvntWabFMEz2qpZEMuosVxBkvVShXM7DQDbO1yZ7mlyiafsdCDtw4Pwm42YmV7NQY87LP2BqMokT5/R7kVtaUWdLsCaK5K3odXLEGKJxhFVYkFC6SE1qF+rzx1jROIxFBuM6sqAJRSEKJ9uysnFI3LAXfaKOmU6wd4K+z2TpfmcgITO8/CAiy2pmfWlaZ9Xys8wSiq7KyiCQAH+334wGyHqtoWCKfbCj3W8x7p/qulbVXoGgmodNvhHIXRQNBeW4oSi1HVeqfXs6eqZEqyJu2YHXazsSj2CyC1rTVzUoDLyter3t06VXbWQbC6vQavHRxAIkFhMLAhTjazEW01UoA1ElTtd3rZMkqpfP+V8gxWc3MznnrqqbT38zuwbDYbHn744bTv33HHHbjjjjvSXr/hhhtwww03TJbYAEQFq+gZ9IXR4w5imVTeB9QVLLv0QBRrBQtQO4HqwQsR2C1GtEgOlR6Gx5NlU+ekDgyglOrqZCcSFHu6PFjaWgWjgaDMalK1jNrNRrTWlKiGXDRX2UGp2oHREncwPcvX4wqiudIuO9iqFkGdkgOpVdegPa10OgAAIABJREFUNHSBByfFc7BakelPqboqdReIxNEnZfubKpljopdu3zoyiPNm1cJqMqLCnqxgpa/bYMpZ0iJpswtGUGU3yx0DB/vSKxap2V5+nlBPsp0RAdS2jbcHNVfZ0ecO5XSYfLLI1EoMqM9gBSNx9HpCIASYoePgFncgisoSMxxlVjjKrPI5LHUwmH7Xmx57xu5uN4wGgkXNFaiwmzEaTg4b6nCOYnpNCSwmA+xmkzzwRC9ZAXXbndxSLrXVNVfZUWIxFsV+AWQOBoF0PwcAakotqC4x637evFJKdq+aUQNXIDm+PyQd2WiTEt5dI2qfUq+rf5S2KK7TAKx8EQFWkcMvB1zSqqhgpTgm02pK2NmFDOcA9MITjCrkzTJdJxCBzcQ2dUCf6VXKsaWpDkg8wyQopZHRw7CfGPbDF45haSs7mFoutXxw+WwWth563EH5wtAmKYDV6xyWJxBVtYUBrE2ipdouXyUwrPMZrHiCwhtKyjkajiWzptV2lJhNiMQSyQtyi2BTz7RmQykOHj+v0lxp162CdWrYj5PDAVw0l50ZLLOmB1g2qfKadgarSCpY3KGusJnRWm3HIbklTDGFS65sF889XjwYL09pDYvEkqPP+RkRm3QeNpagGPSF0/9nOsmqrAr5IzH0uYOoL7eiTHpW9RjcoqwELGgql9dD6kAOQL0e9JB1d7cHc6QzVuU2ExIUctdGx+CofJatxGKEPxKTfwfdOglU9o39vVdpiy1G3fcLjicYVdkzTqqfA0BOYOh7JY26ggUAW6U2waB0ZKOm1IJSi1E6x63/4DQeYBkNBPEElc9hTQVEgFXk7O5yw0CAs1oqYDMbYTEa8L+vHMadzx8AAJZxqClBtyuYchhY7wpWRO7l/fD9G/H3vayfVZXZGWUVrPpyG4wGgh53QHM5ebasrbpEHiP+t929uPpnG9DtSsrDs5HqKqH2GR1+Hxqf/FNuM+HP27tx68PvAYDcQx2NU5wcZvLziUUjOgVY7mAE06S2g68+sRO/3XAc/d4QWqVsZKpseiQHfKEoKIW8Zpd9bx1ePdAPAGipKpHl5M5oMYyTb6suwZ5uDz74k7fl4DlTi2CphVWN7GajLrp9+wgbz36hFGCZjAaUWIz4yWtH8J1nWTsHt2O97qC6HbdIAixPIIoqO8v8zm+swM5OFy780Xr5dwMUZ26KaNgQd1bbqksw4A3j0nvfRJ8nqHYA/UkHkNsKPboJ+KTGJmnSXSJB8e1n9uKffr9Nfg+rYAXRVGmH2Whg9+jpVMHibe/zG9n0xY/9fBMefSd5MD5TK7nW+zKlFLu73Fgm7xfMuT7ru69gX48HJ4f8mCMFWHaLEQma7OrQu5OgrboEOzrd+OBP3sapET/KrSZU2s2wp1SwdO0mCERQU2pBmdWEn71+FHf8ZQ+AdD8HYEmkFp0HerkDEVRKAdb02hLUl1ux4eggLvrf9Vh/eBB2ixGEEMmnzJ7s0nLv44kgi9GAeILiQK9XNbVVS3L9vUWAVeTs7fFgTn253EplUHxihABWkwFt1XZEYgn5cjhAX8ckHIvDH4nLTjUAPPBGh9xeZzayPl6/1PNrNBBpepX2FSyXdFi2rcaOSDyBV/b341+e3IUDfV68sIcFhfySWUB/52lvjwd2s1GeSFSecgkraxllTtLRAZZVba5kX+sxqp1SigFvWLUW7n7xIBKUZSP5GSy9kwP9Xrb2ptcm5fy/V48AkLKmVhZgcTkTlI1d1gM+DIDr9PCADw+s71DJxy9w7nOH0FRlByGEtQjqsGY3HxtGa7Ud7QrdmlPOAvJKfCxBcWLIL78e0jlRBLBzmr5wTHZMFjSVo9sVRKdkb7k9C0YzJGGKINEFQLYJx4f8ePzdTllGpW2zmZXdBNo7gS5pkAifdHfXiwfw+Lud8ve5rH3ukBwI2nRqe3UpHNX5jRUIxxLydFe+HjINudB6z+h2BeEJRrG4tRIAVJd23/vqYcQSVN5LeBKJV7fCsQQSOrSKclustG9bjo/IZ7VLpWmHHD19HVeADY3gn/mT27pUE51NBgJ/JC77as1VdvS4grok5+LS9NmqErYGCCFYNaMGr+wfwCkpGWs3szXQWs3btdP1bLPZMDw8rNnvEJX2WX4BdoJS2ExGTf5tJZRSDA8Pw2azjf9mCTHkosjpHAlgTn1y8IOyZGs1GUAIQatkiI44fbCZDQhFE7oaHX6IfU5DGV7ez1470OfFjk43gtE4akotGPCy9/AHWq/MTp9kzOc2lOOV/QP4yuM7Ma+xHIO+MF7ZzyoYNaUWeRJQUHZGDLps7F0jAUyvLYHRwAx6qiPEhlwk1wMA2WnS47LhHZ1uDPrCuHR+PV7a16/6XktVidwiCEDXtfvKvgEQAlyxsEGWM56gMBoIGsqtsvOhlDMUScCqg6Hv84RgNhLUV7AhJ1aTAb9/5yRuOa9dXpM1pRY2EMATlD9/u8Uot41qycnhAOY1lKsOSCvPPhoIa/9QrluryYBwTF87xun38HNsbGOd31ih+j63Z8okTDHYYQDytMM59cy+AcATW7vw0aXNAJBmi/mAET0CrH5PEI2VNpTbTNhwdAibjw1jhqNUDrirSyxyVfbS+fWyzFoHLQnp6oNGvh6a1IOZuE6DijNYeq0HngTgF/TyFmgAODqQnCAIILONi8Xl5K5WvLq/H4uaK1BdmgwGO5yjuIx/5ily6pnE6PeEML22RL7ImVLgsXc7QUFhNRlgNRngDcVgM7HKUEuVHf5IHN5QMmGjFYO+MBIU8roFWJvgi3uS0/K4P9ZWY8fmY0NoqLAl166k59bWVnR3d2NwcBBa4PSFkUhQhG0muANRWEwEh30TD3ImE5vNhtbW1gm/XwRYRQylFL3uEC6aW5/x+zzYkh2T/lFUlZgRiYV1NTo8UJrXmNx4yqwmPLblFIKROGpKrekBVrVddSeDVvS6gzAbiTxCdVpNCR79x9X4wUuH8PT2bgCQ5Y0oHL6aEosuY+V73CHZYQaSDhTHbjGiqsQCQth6ACA7TXpUsJ7b1QOryYAPndWIf396j+p7zVU21aZeU2JBryekuRNCKcVzu3qwur0G7ZIjwmmssMFkZAfAM8lZCW03SYCt2aZKO7qlg993fnQR/vv5/fjRK4fw8RXM+NeUWjHoY07/QmnSmc1sxNCo9mug1x3EKmmcdSZ4kpxXWY70j6LcZgJFTNeLkTk82ODPXbpDbVUHWJG4vEb0lr/XHYTVZAAFU/KKaVXY0enGs7t6AEBli21mI8ptZlTYTLoEWL3uEKbVsnbcWILi+uUt+NjyFqx9aKskqwW97iDCsQSaFEkDre3F0GgY0TiV18Ps+jL5fAjAAsHUgFu2GRqvB+X0PUBdOebf43uf3ZLBxkW0DbBODPmxu9uDb189H28eVjvwXN+pe4YerfqcXncQ582qlb++dH49ntrWhSsXNqDEYoTVZIQ3FJODQmWFWOsAqyfFjgHAaumqFw7XbVt1iZzMcJSq92Wz2YwZM2ZoIvOW48O45dEtuOvaRfC6YvjfVzrxhYtm4lurF2jy7xeKaBEsYtwBNryAl8YB4H+uW4yrFzeq3tcqfT8ST6DEYtR1WhiQfJAXNVfixtXT8NyXz8f1K1rwwp4+uAIR1JYmx8knDY8N/R7tp1f1ulnWdGV7Na5Z3ITff241HGVW+bwIAFle5T1I1aWWrLebn255lbfA/3btSnzi7GRGxWY2wmIyoLnSLrewVdjMKE3pW9eCaDyBF/f04fIFDSi3mfGNy+fiknlJvTZLI3c51ZKetc5I7+vx4viQHx9b3oKFTRW4dlkzFrewlpqWDJs6l1OvPvAeVxDNVTb825Xz8OlVbfj42a345zUz8cKePrxzfBgAW7OeYARDo2E0SS2iemT7R8MxeIJR1aYOAD/8+GJcs7hJ9VpzlR0GwuyYzWzU7cxYKr18UIiUqGivLcWnV7XJh8RrpEy78syNXms5lV6pne7G1dPwsWXNeOQfV6Otxo4/bmGtd46yTLZYn24CbtuuXtyEW86bjh9+YolceQGA2jKLPPGMT57VY69TXn0AAFaTEbddPEse4sLtLg+wwor1oHUw2OsOgpBk1WJZWxU+urQZi5pZ0qW50oZSaUhDSQZbrLW8f9vVC0KAjyxtxrevXoAbV7fJrWHcD1IGfGwf1mvaYRS+cAwtVXb86ONL8N8fWYhbz2/HiD+Cl/b1w242yvsG3+f0rBD3pgTbADCvoRw3rm6TAy2rmemat2dGYonkWtDBp3zwzWNwlFnwyZVt+MTZrfjo0mZ8+ZLZmsuRLyLAKmJSDTkA3HTONHzrKnX0bjMb0SC1C9nMRl3vuwGSD3JTpQ33XL8YS9uq8JlzpyMSTyAUTaBGEWDxB5pPr3L6tD2HxceFt1aX4Oc3r0CrVA28YLZDvmuMy+sNRWVjXlNqQSSeUF2ifLrJ5KxevrABP/z4EvlrnqHkQbfNbIDBQFBdatF8iuCmjiEM+yP46DLWjvT1y+fgn9fMBAA4yqywmY0wGAhs0hqo0cmQP7erB2YjwVVnNcJmNuJnn16OC+Y4ACg3dUXWVCfng9PrZm1/C5sr8IOPL4HZaMAXLpoFR5kFD286IcvIR4Q3K5xRrYPCvgxZUwC4YdU0fOfDC1WvmY2GZDBYBIkijnJENMDaGX/w8SX4yFIWIPKkEJ+WqrRxesvfI62V1uoS/PTTy1FhM+Pmc6bLLZpKW6xu19bWDntDzFltrrLhg4sacee1Z0nrIbn3lVpM8lRXvk5sOpwrzFQJ+Ncr5+Gf1rCs/pAvDJvZIK8H3hYPaB9w97qDqCuzyq3MdosR9924HB+Qqi58giCQ2cZpKS/vJDhnRg2aKu04q6US91y/RB7H36KoWirl1OsZU1a2P7WqDf9w/gycP8uBGY5SeIJR2CxGWVa+x/H9RI8ERo/CL+MYDAT3XL8E10p7NL9Sp01xZlqv/W5fjwdvHxnErefPkHxcG+67cbnqHGGxIwKsIia1NYWT+jUA+cJDi8mgy6ajpNcdlB1oztyGcpwjZUlaqu2wSlmpZGZHn8PVqRUhTk2pRa5inD29GgYC/NOj23BYGsfLJ0iFNLwbIumsqvuP+XksJXw98CpbTalFHherFc/t6kWFzYSLFVWradKgA2VVluuft0xouXbjCTY18uJ59aqLuqdLGwyXTfnMyZ+9Ds9YLJ5AvzeUtmbLrCZ8/fK5clA1R+E4Kc9gae2MdGdIEnHqy61pr/F1azIQ3RNFnB53CLWlFpU9A5JOSCxO0Vxpw49ePoxX9/cjEk9kvFhdD1gwrtb9p1YmqwLKdWJTJLv0sMP831aivBhdaTOaFEkDPYIWIF3W6TUsEPCGYljcUok/vHMKf9xyCsFoPLkeNH7+elNayjnTpKBltuLzV+o3Ka92+5vcSbCsRfV66p7RkmKL9Ux0Aer92GAguPmcaQDUUzl54tNRaoXFaNCtQlxhM6UNxgKSa5cnuKfXlsj2QK/97hdvHUO51YTPnjdd0393MhEBVhGTzZBncqhvWNkGANjT7dE989vjDmZ0qPiDUl1ixpWLWJtjTHIIuSHi50q0QHZWq9M3IABYI1Uxzp1Zi0duXY0+TxDfe4GNx6+RJvFoWRFI7acfixtWtam+Vg7q0IJgJI5X9vfj6sVNqkEQTZV2WIwGtCp+h09Ja7fbxc6LaHlu5d3jw3D6wnIGjzOdZ02rkwFWYwVb05V2fleW9s/YgHRQOdMa+PSqNsysY3J/YmWybZTbDz0SL9lsGMCckVT4uj3U74PNbNT9DBOQvLMtFd52FYzG8fSXPoB2Rwk+/4ftAJL2QU87HI7F4fSF0VJVonq9ptSCD0vtmVcsTLabK5NdnmBU0zOmmdqXUuF2AmCOKgD5AnAt6XWHUG4zpWXSlY727/5hFdbMceA/n92HrpEgyqwmNgVRh+cvk075RE9lgDW9thTlUrsgvyvJr+H+9tyuHliMBlx1lrp1mMvK94yPLE3a6poSM4IRfa7MyLZmP3l2G2xmdhUFX7P8njSDgaCpyiZXxbWE2bGSjN/jCQtewbKZjfiQ5KOZDOqpmFpwYsiPl/b24TPnTZ9SFatURIBVxPR6QrCaDKozS5zvX3cW7v3kUvnryxc2AGCtVxV2s2pKl9bwFqZUrlzYiE+vasOaOXX47Lks2OLBYoPkvGp5wSV3VjPJCgCfXjUN1y9vQbujBBfOrcNzX7lA3pB4K6FXQz3zMfaZnL3frF2J//jQfPlrXgngzKkvw+EBn2YO37qDAwhE4rg2JRtpNBB8+ZLZqnNjn5Q2oUq7GTMcpdjX49FERgB4dlcPSi1GXL6gQfX6srYqXL+8RVV9++JFrL1xXkM5TAaCzR1DmsnJGStgMRsN+NHHl+Cmc6ahscKGeQ1sGANvCamwmxCNU00nCfa6gzAaCOrLM099+uHHF+NHihZXPh2uwmZChc2k6fOVjV53UL7qQMmc+nJ89tzpuPeTS9FcZcefv/ABeToftw962mE+zTW1ggUAX7l0Nq5f3oIZjlJcvoDpnGe2GytZ8OL0atcmyFsSMwUDv/rs2fjWVfNVNo0H542VNnSNBDR1sHuyBC0mowG3Xz4Hv//H1aiwmfHbW1bhixfNAsDWM5dVKyilTNYM+8WKadW4bnlLmt378qXsfMtcaUCVVrY42UlQh8oStUP90aUtWHvedNRJFe9Ku1nW/4KmCkTiCRyRJiJqSY+bTXN1lKkr8ZUlZnz76gX4xNmtuESyZzxwBdhExw6nPvJmSnwDwIzaUqw9bzp+fEPSp/yM5KPxFkEtbdmv3z4Gk9GAW89v1+zfPB2IKYJFCqUURwd8aJHusEnl5nPUZVOz0YDX//Ui2MxG3PX8ARwb1P4BHvFHsLFjCN2uIC6elz750GIy4AcKZ+ovXzpP3jQrbCZYjAYMjmoXYMn3RGUJsNpqSvDjG5bJX89wlOLZL5+P3V1u+XyW0xfG7PryjD8/2Rx1+rI6q1csbMAVC9Wb5ZZvXQafdA7ggjl1+M2GE9h6ckQ+jH26iMUTePK9TjRW2NKmFAHsLJaSmlILXvzaBWissOGXbx3Do5vZtEllr/3pYHg0jJf29eOD0tkrJXaLUfXZA8AtH2jH3MZynDOjFm8eHsSzu3rwzQ/Nz1hRnmwopTjU78Nfd7DJltnW7Mr2GqyUhi/85bYP4LBUCQKAOskRGBoNywfbT7fMRwdG0Vhhy6qjG1ZNU31tNBCs/7eLYTIQ/PDlQ9jf6z3tco6FPxxDjzuINXPSnxmjgeCuj50lf223GPGzTy/Dp1a2YcX0Ktz76mFN7RmHUnaX2J+lKaiZgoGZdWXy+n7w5rOxo9MlV+Qc8jqJYObpNRUyHQO+jM4qAHxwUbLK9s63LoUvlEwQLGgsx+PvxtDrSW+bPR3E4gkcHxyVK9yp3H75XPnvRgPBHVfNx+UL6jHDUYrjQ34c7NNuPXe72MTF5sr0/aLUasJPUuwbAHzhwplY0lKJc2fW4uFNJ7CxYwj/JJ2bPZ28fnBA6iRoSfve4tZK+R4vzsu3r0GHc1ROzG44OqiaWnw6Ccfi2HbShc3HhtBUac9YiV97Xrv8d27POPMbK7CpYwiRWEJu1T3dBCNxdLsCWae5GgwE37v2LNVrK9trZB/tia2dmiW/jw2O4i/be/CpVa1ZE3NTBVHBKlLuf6MD6w8PyhmQiTCrrgwtVXY4yi0YStnYn93Zgy3ShLFMfOpX7+B3G0/kJSulFLc+vBVn370OX3tiJ2xm44Sc+LOn18gTgQghcJRZMOgLI56g+PG6I1kfaJc/go/cv7GgIPL44Ci++sROOMqSZ60mQpnVhPNnOxTOqrrtrmskgJ+v78iaUX1mZzcu//FbOV/g+NyuHjy86SQunls3YYe+sdKGOVIVY3V7DSwmAzYcSY6+fevIIF7a25ftx/GvT+3Gf/9tf05yAsAdf92LTR3D+NwFMyYs66LmStSWWbFmTh0i8QTePZFcqw9vOiGffUslGk/gwh+tx8spd2yNRygax/W/2IxILKHaDMeCEIIPzHLAaCC4bkULBrxhvHMsKWcgEsMPXz6UtVf92OAoPnz/hpyHjezpduO8e97AVT/bgCe2dmFZW5Xq4uZslFlNOHt6ckN1lCcDrAO9Xnkgxnj8buMJfP1PO3OSGQB+9fZxvHpgQK5KTZQZjlK01ZTAUWbFUIoN+Nvu3jErhzf9Zgt+9daxnGXNBKUUn/nduwhF47hwrmNCP0MIwQVzHCixmDLKH4kl8H+vHs5q2/o8Qay4ax2ODGRe7+NxatiPi+99E5f+31v4xZvHMKe+LK2anYrFZMC5M5OjpnmQM+gLo9sVwANvHM1qz9YfduLm324p6ELaJ9/rxKPvnMLF8+ozOqtKmirtmNuQdKT573YwJRB//eAAXt6X3bZ948ld+N7zB3KW9ZtP78GxQX9O+/LK9hrUllmxoKkCJ4b8afbhdxtPyMm+VMKxOM7/wRt4/eBATnIGIjHc+JstsJkNOFcxRnw8CCH4wGwHDAaCC+fUYcvxYYRjTF5/eGz7tqvLjZV3r8t5Wu3OThe+8vhOzHSU4rIFE9Nruc2M5dOq0Vxlx6y6Umw4mrQJ+3s9+MM7J8f8+T9t7cS/PLkrJzkB9lktu3Mdbv7tuzjY58VVKROdM8HtGWdBUzmicSr7L8/t6sHGo2N3Q1BKcdtj2/HE1s4x35eNWx7aitFwLOfkKvfRHGVWlU+ZSFD8ZN2RrEPJnN4QVty1DgdyTJD1e0K4/sHNKLUa5ervVEYEWEXKG4ecWDGtCv/v6tzn/TvKrHAFovIN2ADwv68cxiObTmZ8fzxBsfXECO56IfcNB2CHetcfHsSHFjXimds+gB3fuUI15nzCcpdbMTQawfHBUdz3+lG8lmVT2dvjwd4eD3Z3ufOSFwAe3nQS4VgCz9x2vmqS1oRl5QFWiqP0wp4+/O8rh7PeN/SNJ3ejwzkqj/KdKG8eHkR9uRUPfmZFzrICLLu+ur1GtRH98s1juO+Njqw/85cd3Xhk88mc/631h5z46NJm/POFuWc+V8+QAkFJzmg8gTufP4C/SJWbVHpcQXSOBHJeu8cH/Tg1HMBdHzsLy9qqcpaTjZ434a87k3K9e3wEv3jzWNb73N49PoJ9PV4czbE95J1jw+j3hnDP9YvxzrcuxbNfPj+vzGed7DhH8OftXbjz+QPjtgu6AxH8+NXD4zoAmXjjkBOLWypx50cX5fyzAFBXboUvHFM5dP/36mE8lCUwpJRi87Fh3PPSobz+vVQ8wSh2drpx++VzM1bkx8NRbk2rYG04Oiglz5wZf+aZnT0Y8Ufw521decm8o9OFU8MBfPND8/D2v1+Cdf9ykTxmecJyKyqdL+7pw72vZk92vXV4EJs6huWJebmSSFDc/0YHVkyrwgM3Lc/55+fzACulMvSDlw7hgfXZbdszO3uyrqOxeOOwE9cvb5Fb3HNhQWM5EjR5wS/AEj13vXAAz+zsyfgzJ4b86HEHc17THc5RdLuCuOf6xWkXY0+UNXMcCEUT2H7SBYBNhf3Fm8ewszPzvnuvtO/t7s5tX958bBiReAJPffG8tE6CiclZh3dPDMt24sn3uuSz0tl47eAA1h3ILWgFgFf296O+worfrl2Jnf91ZdpE54mwMGXN/njdEfx8jLUKAAf6vPj73n5skz6LXBgNx7D15Ai+eslsXJbSEjpRHGXqpP3xIT9+9vpRvHYgsx17cW8fRvwRPL71VE7/zo5OFzzBKH69dqXcZj2VEQFWkeL0hjDDUTZuRi8TfINUZpJG/JGsB1YLHY3Oe/WvWtyE5dOq826ZqpMyvlzubM4fH/aQb09wIBLDszt7cM3iJlVmKRcq7WaYDCStUsgv8x3PcY3lmPEd8IbQWm1XDYzIlTVzHDg84JM/L1cgklXOfDPSkVgCw/6IPGwhV2xmI86ZUYMNR1mlzR1gn3G2A/cD0u9SX5HeWjQWA9Kan1WAnNcsbsLL+/rlQSfjr1t2/iLXdTvgDaPUYsSNq6fJ46nzQek48yraiSH/mD/zyOaT8EfiqmTNRHF6Q2h3lOZlw4DkHU3KZ2zEH8m6Fib7EmV+AW++a7muzJImE08aZVsjTunfzLc1hsu89rx2efpartSUWmAgTO988mg2nRdqizdILeW3nj8jL9tWZjVhWk2JPEQAADyBKI46R+HPMoQmX9sWisbhDkTzXg+ZgsHx9ovkesjRvvG16ygb553ZOXdmLcxGgrel5Mq4sko2NdcLdAe8IVTazRnbQyfChXOlQPAUCz5G/BFE41SuvGWi2xWELxzL+ZoVpzeEJa1VuHxhA8rybLOe4SiFxWSQ18GIPzJuN84zO1gAHkvkbof5HjmzLv+14CizqpIs46+F/OyYLKsjv2es2BABVhGSSFA4fWH5bqtc4YdB+QMRisYRjMazb5LSRJt8DcZAnptAKrwM7RrHqebycuc7V17Y3QdfOIabzpk2/puzYDCQNKMDQHZcx5vAFc1xvPuANyT3m+cLv9tpg2LDzGYgh/z59VvzjH0hsl4w24EjA6MY8IbgHseQcwcv17XHg8xCeryvW96CQCSOV/czp9klO6OZN/bkus0tEBjwFf7ZA+yiVoDZBf6MjbWx+0JRPCxVvfn494lCKcWAN4yGAmxCqh2LxhPwhWJZHWe+FibrTBzf7PPVfV252j4kEhSvH2QZ32zrmb+/qiS/yVkD3hBKLca8bTnA9FdTymyx28/WSVadF2iLH3/3FGpLLapzVrkyv7FcFbTs6GKOdjYb7MzzLAn/bOrzXA/Ta0pgNxtxsF8RYPn5XpdZv/0ebqdyDbAKW7sAO6e1fFo1NnawZBe3GdkTtUw/8TySh/n6OgBwzgwWCPJ9ja/FbGsWSNoKb2jiA3+4TSvUzzEZDZjbUIaDfT7Zpjl9Yfm8dCqxeALP7e4FgLwSXflw9mQeAAAgAElEQVQmIZXUSd1FnPH8HJ4YqC3LrXo+4A3DbCSoLsm9q6gYEQFWEeIKRBBL0LwfZLmHXnJ2x8s2yE5qng8gz1wV6gQ6yi0Y9kcwLDn3p6uC9fjWTsyuL8PK6ZkPfE6UTGfdXONkfDm5GkoWcBem3wWNFXCUWbDh6CAopXD52eWemch3jKxT3tjzN+Z8oMCGo0NyVWg0y0bI5cw1UJIzwwXIuaq9Bi1Vdrl9caLPWa7r1ukNycFGIZiNBlSXmKUkBpP12GD2CtYft3TCE4xizRxHzut1NBxDMBovSL+OlHOOScdp7LVQSFCnJJmFzd8Oj/jDssO5t8cj/z+zPXfclibynIo3GXYCgHwe9nRWsJzeEF476MQnzm4t6LD/gqYKnBj2y5XkHVIlI6vNcOc3yY9/NvmuB4OBYF5KMJjcLzLrj98jl2t1x+kLg5BkFThfLpzjwL4eL4YVVe9sa4E/n7knDwtbs6VWE1ZMq5a7HsbbM7yhqDwoJZd1y21aIXsbZ0FjBQ71e1WJieNZbPGmY8NycB+J5W4XBvOsJilhx04i8j4wnp/Dn5VczZjTF0J9uS3vrodiQwRYRQivCOWdOU05HyRnybIYnG5XflUAzmRWsOIJipNS29J4Fax8Rjgf6PViV5cbN62elnE6Yy6wipu6GuEawwlUnlOI5pDlC0Ri8IViBTvZBgPBBbMd2NgxBH8kjkg8gUgskdF5zvcixIECW5wAlpF2lFmx4ejg+NXMPKsWA74QqkrMBbVcGgwE1y1vwaaOITi9oQlXXnNdt5PlNAPKKjEPsDJXsIKROH674TgunFuHFdOqEUvQnEZhF2rDuKxAskWQV/6yJgUkx7luknQ1UGCV01FmRYImnZHXDw7AQNiFvtmCRK63XCuGHKc3VFBQy6krt2JwNCLrPNOaHg3HZAc1nwDrqW1diCcoblydfycBwAIsSiEPwuGtYsFoPGM1Jd+7FidjTS9oqsChfp/8LCWTMmNXCHPF6Q2httSquqg5H3iya2PHUNKpHqfqk8veBrAAoNC97cK5ddjf62VV1/GSAgqd5rJuJ+Pz5yxoqsDQaARHncnW1my2+Jkd3aiwmTC/sbygFsFCAkNHuRWUJoPXsfwcIJnAzL0Fs/C1UExMmQCLEPIhQshhQkgHIeQOveU5nfDzIflulI5yfnaBZ34nloU052mMB7whlFlNBY9+5g8Wv9Mia6tVAVnTx7eegtVkwPUr0sfB5kpdymQdYOzMjtKw55Llc06iYV8zpw5DoxHV9LtMRpLLmmurkrPAtQuwwGXNHAc2KipY2dpS+FrIdWgIa18rXJ/XrWhBggLP7eod8zmLSpdaA7mtW9aWUlgLjRLe6sGTLseyDNx4Ymsnhv0RfPXS2XJ1IRenn1cyC9kseXuJnCiaYAXLbp6cbc3pZRfK5ntdQF25OkBcd9CJs6dXo67cmtWh5s9PPq1AAKQWpsLX9UTOw+brqAKsjeyJrV04f3Yt2gs8b8GHBhzq9yEWT2BXlxtmI0u4ZLIb+bYVJwPu/Nf0gqZyuANR2RaMn0BiSYNc18Nk2YyzWipRVWLGhqNDYz5/ykE0uext7DhE4S3Qa6T2900dQ+O2Mua7bifDpnH49MvNHcl9OFOA5Q/H8Mr+AVyzpBllVlOeLYJh2M2FtQ3XKSaLAhOvYOWaKJrMva4YmBIBFiHECODnAK4CsBDAjYSQhfpKdfoYLLAKUGIxodRilDd23ubhz3LjOTc4kRxL+5xBX3hSsqY8Y81H1mYy5LE8HVWAD7foxTWLm1A1CT2+bOphWKXTsfq/VQFWDoaStxVNhuHhG9Fzu5JTqzIGg5ITYsuxwuP0hmE0ENSWFibrmjkODPsj2HyM9dWPl+HNtS3FOUlrdlZdGZa2VuKv0vQ3IPO67feEwBO7uaxbbyiGUDQxafeBOMqs6HMHMRqOwUDYkIvUQ//hWBy/evsYzplRg1XtNbKzmt+azV9uq8mISrs5acck/QYi8YyDCviazbf6k0qhlUPluPMedxAH+7y4fEEDSi2mjM9cJJZAKMp0nI8jRSl3VifBFku2bawhM8pWu1xt8Yajg+hxBwuuXgFAa7UdpRYjDvZ5cajfh0AkjlXSXXBjBYa5JhSdvsLPh3DH+lAf2+NcExzoFMlxTU9W1dtoIDh/Nkt2JVsE021xnyc5KCuXtcvazmjBbb2LmitRXWLGugMDCErB3ngJZSDHAGsSbBpnQRO7aoDvbwYCHHOmtwi+vK8fwWgc169ogclIEM2jRZCf5y+kY6euXD1waKx1G09QOcjNNfE5md0axcCUCLAArAbQQSk9TimNAPgTgGt1lum0MTAJmRJHuRXdLrYB8sUeT1CEMzii3ODkOtmOM+ANFdweCCQdkl7JWGcykP3ekNz2keum/vzuXowWONxCiaPMimicyi0niQRVVDHSZVMa9lwMT6GtSkrqK2yY11COF/Yk74gZq9qWa0vCgDcER5ml4EEDF8xmgSCX05ehLYVSqnCqc58GNVlBy3XLW3Cwz4v3TmY/XJ/vpj44CRVBJY4yq/x8LWiqQDiWSGsH/euOHgx4w/jqpexCaJOBbROxHJy8ycj2M3kt8vOlHA6SKTvN35drW0o2CrVrDsVQkTek6YGXSeP9M7VZ9auc1Nxt8WQG444yC8LSRFBg/ApWrm2vj7/bidpSC65cmP9wC47BQDC/qQIH+7zY0cmeQX5NSCY952szBrwh1JVZCzofwi/D3SVdMTJWJSCeoOhz51fRnIxhDJw1sx3o94awTWq9HG8t5NIi6CxwcAjHaGD3d6n2taxn8PJtEZwcmwYAVSUWNFXasLvbA4DZ4uND6RWsZ3f1oK3GjpXTq2E2GhDNs0WwUJvAfTNuY8eqvHI9Abmt21A0Dk8wOmnrthiYKgFWCwDlxSDd0msqCCGfJ4RsI4RsGxwcTP32lMHpC6OqxJzXnRCcS+bV47WDTnQ4R+FWjGvP5Kgqp3Tlw2RlHVqr7SrHPJOBHFQcPM81wHp8axfm1JepLl8thMvm18NuNuKbT+9BPEHhDUXlKkWmLJ9yolguzupkVrAA4OyU29wzbZh8QEquVc3JWgv1FTbVZbqZz7TF5IRBLpt6IkExWMCUzlT4HUk88M+oT8VnqFffPwC0O5I65UNeUltTdpxyoa7civNnswtKzVKLYG5JgTBKCpxmBzA7tv6wE4f7ffKmDmTe2Hl2NddsfzYKXcst1XaYDATHBkex7qATMxylmFVXilKrKWOAODian2Mi//wkBuPtteq2vUz6HvSFYZAGKeTqqL5+yIlPrCxsuIWSBU3lONTnw7aTLjRUWDFPuow4VW5KqTxkIteEotMbLjgQqLCZsWaOA4++cxKeYHTMCqFbGnYF5JY0iMUTGPYXLitnZcp+kXEtKNduDnvGZJwP4qQOrRprUid34nNJDDh9k2PTOAuaKuQ9Y+X0apwcCqR9zgd6vbhgtgOEEFiMhryvyyjUJrRWl2BWXSke2ngC0XhCkUiePD+n0CmdxchUCbAmBKX015TSlZTSlXV1uV90Wyx0uwIFR/FfvXQ27GYjfvDSIblFEEg3OrF4Qt4c82kRjMQSk1bBspmNqvsPMjkhPOPX7ijNaVPfJ11MfNM5hQ+34LQ7SnHntYvwzvFhPPBGh8oBzGTclZ9DLoay2xWAxWTI+X6RbPAzC5xMRpK3Y+WaSZ+MtcvhbRRA5gPrLkXiIKdN3RcqaEpnKtNqSlCiOKeTqZ1RXre1ua1bXoWePJ0mP/uzpTaq1EmCrkAUjrJkS4klxxZBTyCKbadGUF9eWFsKAHz5ktkos5pwz0sHZR0C6c8Xpcm2lHwTRZzRcAwPbzqBfk9hjonVZMSsujJsO+nClmPDuGx+PQghKLVmbhEc8SuG4OTxO3TlOVEzEwvSbERme1ZpN6OqJLcA68n3pOEWqyankwAA5jdWwBeO4fWDAzh7erV8Hjj1WexxB+VR0LnYjK6RAA4P+CblObzjqvnwBKN4cH2Hqq04tX3fpdovJm6H+zwhUDp5NmOGo0wVCE/m2u2exDWbvq9lDrBG/BE0VNhgMxtyujKD722T5T/Ml6qZVpMBi1oqEYknVANYEgkKdzCKGumicLPRkHOL4P5eD3o9hVewjAaCb121AMeH/PjT1s4x2+Hz9XO6JnmvKwamSoDVA6BN8XWr9NoZR58niA1Hh3C+1CKVL7Vl1v/P3nmHx1Udjfud1a56tSz3Ljds3LAxGDCm1ySUX0IvIYSahNQvQBohISFfei8QQgsfCSEkgUAgAUyvNsHGvcuWJVmSZfWuPb8/7r2rlbQrrezdu1fyvM/Dg3W1Kx+NZ+dMO3O46aRint+4j5c2d1fzehud8I3xYDb1p9aU0dYZPOT1OswZ120kI314ncP5UwozaesM9jhc2x/3vbaTrNQULjxqQlzW6fCxxRM4f+E4fvbCFp5dVxF6Hqn6Fm7MY60GtHZ08dSaMo4vLoybYe/jPEVc6+Cd1fd2H2B7VVPcdGEgJ+/AQRryx1dZY9XjtU6fT3pU2yJNuXP0dnJh5qCc0cdXlzKhIIPJhfG5eNHZ1MG6ZDkvI9CngnWguZ2CsOEmTotgLDJeXXKAc37+KhvK6rn5pOmHvN6CrFQ+fcp0XtpcxX827As9750UqG/tDAXgBxtg7a1t4bvPbGTZ3S9w51MbmD8hj8uXTj74xWMlCd7eWUN7V5BTjxgNQHZq5BbBg3WoHR5fVUpOup95E/IOfsE2Ewp6Xmgd0RY3d1CQmUpeRiDme7BaO7p46M0SVswsOuThFuE4tqKpvYujJhWQlWYlPHq3ajsTBo+ZWhizDX7mg3LO+fmrtHZ08fHjpxzyWueOy+PCRRO4//VdofPGQUPo7JBDeMJuMNXjv6y27Nuy4sJDXitYzvX4/G59iKQLtQdhi40x/GV1KVMKM3v8/INldowBVm1zO/mZAfIyAjHb4qqGNlZuqorbngHdOjsiK5Vi+xLgcFvcYNs058yfP0UGJdsH39jFBb96g4LMABcfPXHgNw3AqUeM4pipI/jJ81tDXTXRKq8Og9Hbx1eXkpmawqKJ8ekw8gJDJcB6F5ghIlNFJBW4BHgyyWtKCA++UULQGD5x/NRD/lnXnjCVsXnp7KzuzlD3No6OEffJ4FsmjDH8/rWdzBydzYqZ8akYzgpzACO1M4ZXsCC2Hup99a08taaMi4+eFLcqkIOIcNcF85hcmMUPntsUet4YqfrW1IHTARmrA/Xk+2VUN7Zz3YnT4rJe6OlkQ1+daO8M0tjWSYpPBjWe+77XdpKb7ueiJYduzKFvgNV7nbVhuhurPNs7gzz45i5OnlXEjNE5A74+VsYN4IAcaG4nJ91PYbbVIhiLTNfsqeXdXQe49oSpcbs8Nye9W/+tjT2LHREDrO6D/IEYpwg+taaMi373JiLwlxuXcVEcNnWAq5ZNYUJBRr92zNnUfTK4thSHr/39A078/krue20nK2YW8bebj+OJm49nUmHmwG/uB0eH8zICoVar7HR/v06qTwbfTbCnppl/rSvnsmMmxaWFqXcyJ5ojVZCVSv4gHNUn15RR3djG9XG0Z2DZNGfJiycXkJNm6XnvQPy9kgNkpqZw5Pi8mJzVnz2/lZsfeY/iomyeuWU5xxXHx8H+0pkzEek+b2yttdfebFcJUnyxO9atHV08/OYuTjtidMhpjwdjwtq2IunCgeb2kI2K1Ra/t/sAa/bUcu3yaXG596j33h6tRfBAs1UVys+IvfL68FsldASDXHvCoftlDo5tyM+07DD0vAvL8XUcW5w6iDNYt/51LXc8uZ7jpxfyzC3Le/hVB4uI8NVzj6CmqT3km0XUhabwfTm29VbWt/Lk+2VcfPRE8g7yknUvMiQCLGNMJ/Bp4DlgI/CYMWZ9cleVGF7dWsWy4kImjji0jR2slrv/OXMW0D1uO1oVYFRO+qAnsW2vamJjeT1XHDs5btWV8ExWW2ewT09ybbMVpEwssOQTi4HcUFZPZ9BwzrxDP1Adiew0P7+4dFEo05+fGYjqZDul+lh76l/ZWsX4/AyWTYtPNhLoM06/t07Utjg6YZXqY90w15bWctKsUYc8rt+hd8tH3+RAmO7GKM/yuhaqG9s5e97YuKzRIfysTrR/eyfb39Fl+mSrI7G21DoIf06c1+pQkGllTnu3CNY2d/QYzx9ri+A/3t/LmNx0nr5lOYsmxS8LmR5I4ctnzQa67Vjv5IvTsjIqJ33Qk6uCQcMjb+/mhOkjeeXLJ/PLy46K2/odJ+qkWUWhqXXWGay+kxBrmjoIpAj5mamDHi7zr3XlBA1cccyhVdzCybE/x7np/ihtxB0UDLIS8EFpHXkZAY6LU3XFISvNz+QRmaT6fcwdlxeqYPX+LK7efYCFE/PJCKQQNES8Jyucx9/bw7JphfzlxmVx2ZMdxuZlcN1yK8h0dLp3O2O3fUuLOWmwvqyeA80dfHRxfDs1xuQNFGB1hO0Xsenumj3WgIdzjoz/vpyXEYh6zUu4LY5Vb9eW1nLEmFymxTFonToyizS/jxFZVpttYVZqjwpWKMDKsvQj1hbBYNDw+OpSLlw0nvuuPprCQV5S3R/zJ+Rz/sJxgKW3ke7RPNDcjk+sLqpY9fbNHfvpDJq4622yGRIBFoAx5hljzExjTLEx5jvJXk8i6OwKsrWysY9jeSicv3A8x08vDF0YGC1LNio3bdCHw1duqgQItb7EAydD6FTEem86NbZxdDalWAykc8HvYO90GgxHjs/jmx+Zy6QRmUwbmRU9wMod3Ca0uaKBI8bmxi2AdTh3/tiQk9MncLEzUEWD3DDrWzrjKuMJBRlkp/m7J4K1RXGqc9MGtUaA/DhXMq841jpPsnzGyKgOiOOMQqx6a/2ceFddv3zWLEZmp5EeSKF4VDZVDW2h9TiTMJ2+f4i9RbC+pZMJBRlxXy/Ah+eP5cSZRSE7Fq2aWZQTuy44NLR1Yow1uTIerUrhLJiQz4SCDD62uLual207/829gmyrdSnVylQP8qzFi5sqmT0mJ65BwLfPPxKfQPGo7KgVt/zMVHIzAjEPC6hv7SAvIxB3ewZw+pzRnDtvLKl+XyjJE/5ZbGrrZGN5A4snFxDwx5Y0qG/pZMbo7IO+I7I/blgxjZmjs6Pb4TCdjjVp4Fy2PHdc/HwIgGvs1sjlM0ZGad1vH/x+Ye/L8bQXXzx9JqNz0yiIkuTs6ArS0GrtU7kZAepa+r80ObTWlo64+w8pPuHMuWNYPNk6C2slu7oDLMemDbZFsKm9k6CB2WNz4lIZ7M2XzpzFhIIMjpka+SqEA/bZzDS/b1B66/cJM0bFr6vECwyZAOtwYNf+Zto7g8waEz/j6PMJj3zyWL56zhFA34DF+RCPykkbdNb0hU37mDU6J65OSVFOGru+d26o2tS71S68fxqsA/UD4Tiq4e1RieCyYybxypdPZkRWWp8Mu3MI38nyxRLMtnV2saO6qU9LXzz41WVH8X/XHUuq39dvVRNia7kyxtDY1klOenyqV2C1JKy780w+fbJ1lqdPpa25gxSfMCIrNeYqW4O9qcdbF+aOy2PX985lwYT8iAfWnXaqwQVYHaSm+A5pmmgkbj5pOqu+dhpAaKiM0yboTMLMP4gWwfrWjoR9xkSEhz6xlDs+bF1/2HsAjqOzo3Njz5o6ODqRmxE/3XXIywzw2q2ncMKM7taykPPf2vd3GJGZOqizFmDp0ru7DnDy7FHxWbTN+YvGs+PucynKTouaMBph63RDW+eA1SCwKo/xtBHhfPXcOfzk4oWANTjA75MeNmNNaS1dQcNRkwsIxJA0SIRNCycnPcC/P78iVHXsvWccaG4PDTeKPSFXT1ZqStwTBfMn5LPre+cyZ1xulCE+HYPueGho7SQzNQV/HIPXz5w6g7e/clrUQTKOv+PobayJgUTp7c8vXcQXTp8JQPGorB7dBE4C0QmwAjFOEWxIsL8zoSCT1249hVNnj+7x9zkcaO6gICvVXm9surC5ooHiouy4TRX1CsPrtxniONmnRDjU2bZx2FndGMocQffEl6JBtgjWt3awatcBTjkivpu6Q28npGR/kxWkNHWEjCPE5qiGHKgEB1gOOel+6ls62BV2ZqS5vYv2ziBFg2gR3F7ZRFfQxKV/Oupa0/yU1bX2CFSdsyBOtS2WLFRzuzXlLxFG3TlTsr2ysccGc6C5nfyMwKDG13YH24lxmrLT/aED68GgYfd+azJSTVN3WwrElhhIpDPqUDzKanlZV1bP3tqWUNY8fMhFrBcNN7R2kpvg9Tq6sLO6qcdn33FGig6iRTDRDklvnN9hbWltj0D8QJOVJbfOWsQeJL66tYquoOHUOAdYDtlp/pCM2u1701rau2jtCPZIdsXirDa0diRcp4HQtMbSAy3st8f3v2cPuDhqYkFIp/sLxhNp08Jx9uZNFfU9hjYdaLKGzaSm+GJOGmyqaGDmmMRULsDaL9q7guyoauyhu7V2Z0lgEMmBROpCdpqfA83tPe5kgu69LX+QLYKWbUusHhQXZVPT1M7migbqWzv6nsHyxxawNCR4j3Nw9Hbd3roe7c4Hmrp1IdajEJsqGhLq5yQLDbA8xOaKenwC00fFr8/XIdPOgt/76k6+9rd1oecHmttJTfGFzobEyqtbqukMGk5J0KYe3uLxw+c2s+IHL/HkmjLLqc4cbIDVid8npAfcUfestBTK6lo5/ScvU2nfTRPeTw+xtVFs3mfd15KIgNshK83PU2vKOPXHL4cuYHRG7g5mrYk06o5D+s2nNvDx+98JreeAXc0M+GMPsBIdbDt6W9fSwZceX8OJP1jJ6pIDoXNNg9XbRG+Sk0Zk4vcJX//7Os752atU2g5JQViLoNMeNXCAlXjnOc3vQwTuf30Xtz+xNvTcOZtZmJU6+BZBlxwSB0efr394Nf94vyz0/EDISfUNKtn14qZK8jMDcT33Fo5zb1dDawdX/P5tTvnhS2yrtCqeBQdhi90MZJ9aU8Z1D60C4L3dtcwYlU2ebTOgf512Sy8cm3HnUxv4zUvbQ8+dKY2xVjSNMWze15Dw/QLglB+9zD2v7Ag9r2myKvR+32BsceJ0ITvNz39313Li91eGzrI66wRC7dqNbZ0x7m+Jq847OENJzvzpK3zliQ9CHRqO/vljHHaSqC6N3ji6cNMj7/HX90pDz512+Ngrbh3srW3RAEtJLJsqGpgyMivuLUFAj4zWy1uqQu0ctU0dFGQFSE0ROoLBmCfGvbipkryMAIsm5sd9rdB9wPqupzfwy5XbEIEXNlaGRkg7xiPWClZOuj8hff+RcAxPR5fh9W3VQFgrZm7sLYKbKhpITfHFdZxxb5wNp7qxjWsfeJfGts5QMDiYnvpEGnXnwDrA69v2841/rO9RzQz4ZFBtKdY6E5U5tdZ68yPv8cR71k0Sz62voLGtkxGDdkYTv6kHUnyhA+x1LR28aJ+r7DFF0A6w+suid7dTJXa9IoJjol7ZUt0j2C7ITCXV78PEMLwgHLccEofwITCOvKG7tWYwLYJdQcPLm6tYMbMobpMme5Odbo2Vv+zet3m3pIa2ziD/XGsFhgcXYLkTyDqXpf93Ty01Te28t/tA6JJ5p0Wwv2qnW3oRPvVx5eZufagNC7hjqcpWNrRR29wRumQ5EYTr7vee3cS/11fQ0t5FW2cwrIIVuy1OlC44NqutM8j1D60OJY4OhJ1ryrNbggeqvHYFDU3tXYnvJggboPHyliqqG9vIzwiEfLdAii+mqb6uVbDC9uVIeutP8cXk52zZl7jOrWSjAZaHSHT2yaGupYMP9loTfGrCjHisjkkwaHhpcyUrZhbFtX86HMeQ/3d3Ldctn8p5C8bx+rZqDjRZToiT2fFa1hR6jlp9dasVYIVPOYPYLsbdVN5A8ajEHLB2cPrUv3fhPLZWNnLLo/9lf2M7GYGUkMxi2TAT2XoXvqnfdFIxj76zm/te2xmqZsaaKYPuzSc7QZtPVmq33t7x4TkcPaWAp9ZYzmh+ljUQALzljIZfbumsNVKLYH9OXlN7F0HjXhUILN1ds8fKToeqmTFW28Jxu4KVEQhPGFQTtJ2mWjt5FKtDDda5ov1N7QnrJAArAOgMGrbsa+DeK5eQnxnooSfOWOXaGM8VutWq7Yy6NwYefrOE2uYOjnICLP/AI8UT3U7sEG7fPthbFxo8ZVWFYm+B3lhudzzEcUhWb5x1LJ0ygvkT8vnsn97nNTuJWJAZsNvYBtMimBhdeHdXDQC325c63/jH1bR1doVaBAuyUkN6O5AtbnRJD8aH3T3X0NrJy1uqek5zHcRZWCDh7doZge6f//q2/SHf0almpsZ4mffGcivA0gqWkjCa2zvZXdPMrNGJM44LJ+azdOoIROChN3ZRWd8aGhoR60F26N7UT03Q+SuAcXkZFGQG+NIZM/nKOUewfEYR+5vaae8KhrLrsfZQu5k1BTjPHmN6wvSRvLKlilW7avq0CMYyUGRzReID7guPGs+MUdlcsnQS3/zIXF7cVMmj7+y2HD1fbGdvILz1Lv5yTvP7yE33c/NJxfzPGbM4a+4YvvPMRnZUN1nrjLE33VlnRiAlYUHr1JFZ5KT7+cFH53PN8VM5YXoR5fZdNwWZAXLS/IgMrvKaaG47ezZZqSksnJgfupcnfMhFagxBi5tVoKVTRnD0lAJ8Ag+9WUJFXauVeLEz6DC4Cy671+6OjXAm/Z08y7Jpf3p3D1WNbXTal4oO5szNyk2V+IS43UMYiemjshmRlcqDn1jKaXNGc/z0kSE9GczglmAwsUMjenP+wnHMHJ1Nbrqfnzy/BaC7ghWqyg6s04l2VDMDKWSmprB8xkiMse4TrGvpsNuKrYpmLPqQyDPcDkfZbahfOfcI7r1qMQWZAW559L+AZTMG3yKYGNnesGIaItZdoD+6aAHv7a7lC4+tYed+K/k5mImu9S6d4Uwpt/UAACAASURBVE7xCUdNyufEmUWIQHlda69OgtjPwkLibbEzSOXkWUXUtXTwf2+XUNPUTltnMJTsitXPyUnzx30wixdwz+tU+mXLvkaMSWwU//dPHY8xhi8+toYn/ruXv7+/lxSfcPqc0aENp70rSAb9tyi6sannZQZ47+unh9r6TprV/Xc5hjH2AMsdR9XhQ/PHce68sbyxfT/XPvguH/3tm6TZAaxzX9JAAUFdcwcV9a0Jz+r8+KKFoZaDK4+dzPbKRh54YxfTsrIGVQ1IpFEXEdbccUZIF3588QIu/l0LH+ytoyArlbaOvndx9LfOROrCjNE5rA1b6znzxoScuxGZqfh8Qm76YBIDiQ9YblxRzI0rinn4rRLetytC4U6lP6YAy70q0GM3LsMYw61/Xctjq0p5am0Zfp9w0qxR3To7qIE91trdqqyMyEpl593nUNvcwfm/fp2v/O0D7nzKWndBVioBv9DWEdv6X9xUyeLJBT0C4nhz5twxnDFndEinz184nqfXllvrzUwlaNuPgXS6qd0ah++WLf7pJYswxvC1v6/jkbd3A91TM8P3u2i45aj6fML6O8+kK2i46Hdv8suV27jnlR20dwUZkZnKgeb22M7sVjQwOjctobpwxNhcdt59TkgXfn/10Xz0t28All4H/LG3CNYncCjO9ScWc93yaYgI58wby/+cOYsf/nszxlgJu4xASswBlpu27YmbjwfgmvvfYeXmqh6TEGO9LsOt9eZlBth59znUt3Rywa9f5+v/WM9dT28ErL0ukOKjqX3g+x4324NZ3DrC4SZawfIImysSP9AALGf1xxcv5PkvrODTp8xg2shslk0rDJuqNLAhf3FzJUdNSuym7qzVoTA7jcdvXMa0oizmT8gDrHutvOSohiMiHD99JKu+djo/uXgBy4oLWTK5gJHZlszaB3AAN9n64EbZPFzOXzv3CD6yYBzHFRcOqqqZaKMevsbMVD+/v3oJ88bnsXhSQcyHfwEa2hIfbIevdcboHH5z+VEUF2UxfbTVYz84vXUvMXDFMZO4bvlUTppV1ON36M6cRtcDt6tAIsL3P7qAF7+4gs+eOoPiIus+oVBlYlBnsDoJpEgoCeIGIkJBViovfvEk/u+Tx3D+wvFMHWnZtlirABV1rawvq4/7ePZo63U4fc5objt7Ngsm5PWoBAx0lsXtaY1grfsbH57DBYvGc+OK4tDvEZtOu+dYiwj+FB9/vek4/vGp47ni2MlMK8pi8ZQCq2U0lpbyioa4XvHS31od5ozL5ZeXLWL6qGyKi7IG2a6d2DOm4ev81MnT+ddnl3PGnNGcZicL8jKsvXjgAMvdM5oAP7t0EUdPKehx8W6s+3FDqzUcIyMBZ/l7IyLkZQb4zxdW8Oh1x3LhUY4dy7fO4w2gt8YYNlXUD8v2QNAKVtJpaO2go8uwsbyBjEAKk+J4UWR/TB+VzRdOnxm6g+HRd6wMX7QPb2V9q30xXwfr9tbzP2fOcmWd4SyZMoIXv3hS6Ou8jAD76hujvwFrvLvbjmo42Wl+Llg0gQsWdRtKv0+ils5bO7qoa+lgc5IOfvpTfPz80kUAvGH31kfbMPc3thHw+8hND7i+CY3OTeepz5wAWIfY+9vU99Q0Mz4/A59PkhJsnz1vLGfPGxv6eqDKqzGGkv3NrgyNCEdE+Oq5c/o8H6hFsLGtkxJ7HL3bsp1WlM3nTpvJ506z7Nhjq/YAAycwHMrrWqhqaCMnPTGX3w5Eik84bvpIjpvefU/WQPfH7KlpZuKIzNDB8kSev4qGU/UE8KdYVYH+dLq1o4ut9uRBt21xmj8ldD+Ww0AtgjVN7VTUWWcT3f4MLpiYz4KJ+XwD67P4xrbqfhMGpQeaGZWTzrbKxh73rbnFKbNHc4p9J1Kgn+RAV9BQVtvCxBGZtHcGaesMhoZZucHsMbncc9WS0NexJAYaWjvCbJt7a81ND/CXG4/r8Sw1hhbBffWtVDe2uTrUCyw7tqy4kGX2pdnAgC2Ce2qa8acI9a2dw3LABWiAlXS+/vd17KhuIivVn9D7Kwaiv3YwYwzn/PxVLloyMRQAJvL8VawM5Kiu3FTJNQ+8C7jX/hML/TlQv315Ow+8sYsz54whLyPAGLulMBkMNMr42get8cd/u/k4Glo78QlkpSY+a9YbR57GmD6byoGmdk750UvcuKKYL54xi/rWztDGmiwG0ts/vlXC1/+xHkj8+Y9Y8A/Qdvetp9bz2CprTG+y1xvLeTGHbZWNfOgXr9LaEWRyoTuJrVhI9UevyL6/p5bzf/U6f71pGS9uqmR8fkZCp8bFSl5GoN+73e56egN/fMtK4nnBFg/UInjNA++yZk9t0mxaOP1Vhaoa2jj5hy9x7QnTaO8KJl0X+msR/OfaMj735/d5/MZlTCm0WjVzk2iLnX2gth+9/cyj/+WlzVWA+4mB3gzUItjeGeTMn75CbXMHE0ck/zxTf37Our11fOgXr4WSNLNdqLwmA20RTDIbyxtYX1bPhvJ6ZifROPZ3gLKqsY3qxnb+u7uWFzdVMi4vPemGHAhV1KJx/xu7Qn9OtnEMx58iUTPsG8vrqW3u4PmN+5iV5L7k/sZzG2PYXNHA+3tqefqD8lC7RzLW6wzjiJTl3VHdSEeX4Z5XdlBe1+L6ebxI9Ke3xpgeeusNZzS6fKF7ChS4X8HqTawtgh1dQb7w2Pu02medkq0T4fTXIrjJnhT31o4aXt9WzcmzizxxdqG/pEFdSwd/Xb039LUXZN1fi2AwaEJyzk5ztxIQifAEUm+2V1n27S925TbZrVb9BYObKxowBr77zCbXJ3dGItU+ixVNb3dUNYaCK/CAbRugRXBVSU0oWMxJS/6+0Z+fs8keyBLSWw/4k4lAA6wkYoyhpKaJrqChrqUjqcaxu4LV98PrlMjXl9Xx2rZqTp49KumbDlibentnkNaOvgcpd1U38cqWcOOY/E3dob+xu46s9ze1J71s3t9EtqqGNlpsuX//2c3sb2pPmoz7q7Ttqrbk2dYZ5Cf/2UJDAg9Wx0peRiBqW8qb2/f3GPPvBb3tL9tvjGHX/u715mYkd70hnR2gRfBXK7extrQuVLnygkPi0F/md5dtHx55q4Tm9q6ktAdGor8A64n3SkO2ApLvqAL9DkPZ19BKm/08WR0l4fQ3nrvE/uztb2onxSdMH5Xd5zVu0l+A5extq0sO8Phqq+KdbF3oT2+dwSgOybbFA7UIvrKlOvTnZK8VBvJzuvV2bF56aGT+cEMDrCRS2dAWyqBCci9a669F0DGM9a2dntvUIfIh1UfeLsHvE0ZkWQdZk23IwwlEGcPsnL1x8EI2EqLoRI21zmuOn8Lummb+vX5f0mTcb3KgphmfwNXLJvOX1aXUNLUnXRecTT1SRvrht0p63EGV7LVCuDPad721zR2hbDTgysHq/ohl8uXa0lp+8eI2zl84jmuOmwJAc4QkTbLor0Vwd43lmJTVtZLm97FsmvtnbiIRzVE1xvDwWyXMHdfdApTsBAeEVzqj73fQf/uYW/hDFfr+1zp1ZBbpSf/8RW8RLKlp4oTpI5k+Kpt7XtkBJD8QiKa3Le1d/GXVHhZMzA89S7ZsB2oRDE8ot3jAnjkXI0fCS35OItEAK4nsqm7q8XVyK1jRsyMlYRnqNL+P44q9s6lD302wtaOLx1aVcuaRY1hkG8hkO37hBKI4UOFVIUj+zeb9OauO7l61bAonTB9Je1cwaZtlf5m9kv1NjM3L4POnzyQnzU9X0Lh6sDoSeRkBOroMzb1G2FbUtfLvDfu46OiJoXMfyXZAwDrA7JPIDl549QpIemV7oBbB1o4uPv/n9ynKTuPOjxzJEfalrHvDLltONv1VAZyKLMBxxYVkJPl8kEM0R9WpyH7i+KmhZ15KGrT3UxXyCv0lOLzmqEbTXSd5OK0oi9vPnh2qhifbvkXT26fWlFHf2sltZ81Owqoi01+LYFVDGxvK60PX2ZR6wJ4FUnxRz+2Gf8a8oLeJQgOsJOJUAUZmpzIyO43C7LSkrWWgFsFCuxLktU0d+lawnlpTRl1LB1fao26BHvdJJJuAzxex3SpcHwBmJvvAcj/nFHbblaHx+Rncdra1CSUrM93fPU0l+5uZMjKT/MxUPn3KdMAbmzr01dtH39lN0BguXzqZ6fa/faIuRB4sgZTIOru7pjnCq5NHSGejbOz/++wmtlc18cOPLSAvM8BsO8Bq60x+xtfBOoMVucK9u6Y5ZB9OOWK020uLSrRzhQ+/VUJ+ZoBz53dP0UwPJF+n+9OTkv3NoaqRF3Ac68h7RlNIH5J5htshWnurU+meNCKTU2aP4pipI4DknzGNpLfGGB56axczR2dz7LQRSVpZX/pLgr+2zapeXb98GkDEYxNuE0iRqENkSsLsWLITyYkk+enRw5jd+5tJ8QnfOu/IAe8QSTQDtYMdMTaXY6aO6DGGM9lEc1T/+FYJM0Zlc8zUEcwZl0tbZ5DzF41PxhIjEi3L52Qjv3LOEZTVtiQ90ztQ2+i4/AxS/T6OHJ/HHR+e49oVA73pL8O7u6aZM+eOAaxqW3ldqyv3BvVHuN6Os2+v7+gK8ug7uzlpZhGTCjP59eVH8YfXdnomu2dlI6Nn0H9z+VHUJtmGQXewHWljf31bNfe/vouPHzclNM46LyPA/5w5ixOme6MqD1aFO9L6a5raaWzr5JPLZ1Dd2MZH5o9Lwuoik5cRoLGtk86uYOjfwKnIfvKEqaQHUvjrTcfx7q6apFc5YeD9bkJBBjesKE7qFFcHZ4hP77U6VaEPzR9HZmqKJ/Y4q0UweqV7cmEWIsJ3LpjHI2+XhOxfssjLCLC+rKfdWlNax7q99Xz7vLmICPddvYT9je1JWmE3/ensK1uqGZGVyrHTCvnyWbNYNi35flo0P6euuYPa5g5uOXWGNeV3lncSRfFGA6wksnN/E+PzMzgn7I6cZBFtoIExhl3VTZw7fyyfOXVGMpYWlfwIFwVuqqhnTWkdd37EMo656QG+dd6RyVpiRAJ+iXgGa1d1Ez6BD80fFzrYnEz6Owi+a39Tj9HW14S1ALlNKLPXq4WtrqWDmqb20DrTAync8eG5rq+vN/kREgMvb66isqGNu4+dDFiVwa9/qO+dVMkiquNU3cSY3PQe93wlk9R+KvFf+/s6phVlcWuvtp9PnTzdlbXFSmqKL+L9TI6TOm98Hqd6qHoF1uXZYJ3Tdc69PvHfUrqChsuOmQTA4skFLJ5ckLQ1hhOybRFaSXdVNzGpMItLl05ye1kRiTbNtaapnYbWToqLsvikXblINgMlDx1bPH1UtjdscYRL3x9btYes1BQuOMq6u9Irn7VoAVZzeycvb6nihOkj8fmEm0/yhj0LpPgIGuv+s5SwirBjx+aMzeWsI8cka3mukHwv7jBmc0VD0tvAHKIZ8X31bdaEQ4+sM5xIFaz3d9cChHqRvUi0dqtNFQ1MK8r2RHAF0cdzdwUNW/Z5R3ej3X202R4F6zXdzY2kt3tqSfEJx3uokhJOtEsjN1U0MNMjVTawkhfQ9wLZ6sY2dlY3cdnSSZ5pcY5GuGMSjjPa2Cufu3Ci2eJpRVlMtu888hKpUZJHnV1BtlY2Mmt0cqfxhROtRXCzB/Uh2gCnTRUNBFIkdP+VV8jLCNDc3tVj73h/dy1LpowgO8lndXsTrWX/96/upKapnSuXTU7GsqLi2OKo+7KH9o1E4Q1P7jCktaOLHVWNzBnnjQvWomVHNpTXAXhmneFYt5X33NQ3lteTlZrCxALvXBzam2i33W8sr2fOWO/IOdp47l37m2jtCHpmrf4oLYIb7btsvKa7kZzRjeX1FBclfwpYNAIpPtp7ybe9M8i2ykaOGOudjdKZtNVbZ0O64BGd7Q9/lLMWG8vryUn3M6Eg+ZeI9iaiTlfUh4aIeI1oMt5Z3UR7Z9BT647WIrjB1mlPrTXKuZsN5fXMGJXjmeShQ2+97bZp3pGpQ6REYmVDK799eTtnzR3D0VO8c14MLD8HIuttZmoKk5N0pMBNvKXthxGbKxoIGpjjEeck2gFK5xJRLx5E9PmEnDR/j/NrG8qtTd0L95dEI1KLYF1zB3trWzxl2KOdbdpQ5q2NPVp764ayekZkpTIqJ3nDYyLh3PnRW2+97PxHahHcXtVIe5d3Am2I3iLoNZ3tj2gV2Q1llm3zwhmm3vR2VOtaOthT0+Ip3Qgn2rTJDR5MykTrLtlQXk9RThpFHrJv0VoEN5Z7M9jurbchm+ahf3+HSMOcfvKfrbR3Brn1bO9MO3QIdcBE0NvZY3I87aPFCw2wksRGj2Wfok0R3FBWz8QRGUkfuBCNvLAe6mDQsLG8wTMyjUakTWhjhaMP3glko43n3lhej98nzPBIG01qyAHpK9MjxuZ4ziHNTvXjC6u8Hmhqp7yu1dN6G6lF0ItVoWgtghvL6xmbl06BfT7Iy0SyxcGgYVNFg6dkHU5vR3WTB3UjnGgXUm8oryc1xUdxkTdsG0RvEdxY7j19iNQiWNXQRlVDmyeDlt566yRivJL4Dqd3i+DWfQ38+d3dXHHsZKaO9FbrJYSPle/WW2OMZ4PtRKABVpLYUF5PdprfM61s0VoEvda21pu8jAC1zdaEn9IDLTS2dXrSkIfj9/n63L8SMuweW3uk82IbyuuZPiqbNL832tn8ERzSzq6gZx1Sn0/IzQiE7m/zaitjOJFaBNeX1ZPq93lqc4/e6uxtOxZOpPa1kppmmtu7PPs7hBxV2xZ7XadFBL+vb1V2Q5ll27xyPQJE7i6xWtm8l0yMtF90J5O9F7T0Pg+7sbye9ICPqSO9E2A79K5s/++zm8hK83OLx4aPOQQitGuXHmihodX7Plq88I4VOczY6LEyaSQj3tzeyc79TZ4z4uGEXxToxZ70SKRGuGh4Y3k9I7NTGZWT/LHA4UQaz+21oDuS7nrxLEU4Q01ve7cI1jV38Nf3Slk2rTAU4HqB7k29W2dbO7rYXuVtOxZO6OxjWHXFax0PventqG4o92Z7bji9Owk2VzTw+rbq0Ah/rxApabCtspGOLuM5R9WxE8Z0f/42eLia2Z0Y6NbbWaNzeky98wrdZ42DtHZ0sXJzFZctnRSa2uk1uodcdOuC1+1YvPHOzjjMeWVLFfe8sh1jTKiVzUvG0Snn/val7by0uRKwJv8Y403D6JCXEWBffRt3/XMDb26vxifemxrXm0CKj22VjfzguU2hTXODR8vm4Y71X1bt4ZG3S9hX3+aptYY7IF1Bw/ef3cSTa8oA72bQ8zIC7Khu5LvPbOT9PbWMykljZBIvGh+IQIqP17dV8/CbuwD45cqt1LV08OWzZiV1Xb1xNvV7X9nBCxv3AbB1XyNdQe85o9FwMtXf+Mc6Sg9Y4603lNWT4qG23N6kB1JI8/t4e2cNv3xxa6h9zWvtueEEUoQn3tvLc+srAPjOMxvJTvNz04riJK+sJ459+87TG1m31xo61R20eGuvC6T4MPYEzLLaFu765wbW7KllXF46+ZneCwScAOvZdRX88a0SK3noUTvhJBL/8PouHnl7N11Bw/wJ+UleVXQCYXZstz2mf0N5PSLePNOfCLw1h3IY8/vXdvLKliraOoKct3A8jW2dnnJSnU29rK6V6x9azUPXLmVbZSPg7WxDXkaAvbUt/P61nfgEpo7MGhJjmAF+tXI75XWtfO/C+Wzd18g1x09J7sIi4Jy9qaxv5at/Wxc6h+OlTSjV390i+K915fz6pe34BM+dpQgnLyPAq1urWbe3Hp/A8hnevVYAHD0w3PnUBhZNKuDBN0r4f0dNYO64vGQvrQfOZ6uivpUb/7iaB65ZGgpSvGzHwnF+h5Wbq7jqD+/w1xuP8/yUSejW6Ve3Womua09I3t14sZDq91Hd2M5dT28gPZDCK1uq+Oo5R3junJ7jWG+qaOCqP7zD4zcu82wrW/jwkB/+ezNPvLcXn8ApSb7cPRqhAGt9Bf/eUEHQeNdOOLLdXdPMd57eAHhrH+6Ns95Xt1Zz1R/e5vGbLDs2tTCLzNTDI/Q4PH5LD7C9spHUFB8/+s8WT5bM/b1K4tc9tIp54/M8OxbYIS+jezMMGpjjMYcvEs6GmZri44n39tLS3uXZyUXO2Zv7XtvZo5faS5uQo7vtXV3c+8pOwNKFGaO9dZYiHGdjB0dvvSPPSPjD7kS79sF3SfEJXzrDW9Ur6GnHBOGGh1ezcGL+kBoL7MgaoLSmhU88+C5ltS0sm1aYxFUNTH5mgMqGNmBo6LRzz9iemha+/PgaJo3I5KrjvHWXENDDhjW2dnL1/e+Qmx7wZCubs7ftrG7iyfetLgIvBy2pfh+ZqSk0t3fhDJT0kl8WTrgeBA2et2mBMDtWVtvKtQ+8S1VDG4s8ctm4GyTM+xCRj4nIehEJisiSXt+7XUS2ichmETkz7PlZ9rNtInJb2POpIvK2/fzPIuKtFNMANLd3sre2hRtXTGP5jJH8a12F1crmoTJpuKH+8cULyExN4Y3t+z07Ftgh3FEFbx6k7Y1jKM+dP5ZLl07iX+usFhUvbkKBFGF/Uxt/fKuEY6dZ92yMyU33VN+3I88XNlayobw+5Ih6UZ4OffXWu2vtzb76Nq47cRpj8rx1XhDoYat+eNECctL9vLat2lPnXQciNcyR+vmlC3l/T63n2nIjMdR0+kBz9zUJ++rbuPWs2Z4Z3BNOuGN979VLqG5oZ32ZN1vZnLX++qXtiMAS25n2atAC9KkKz/boWnsH0163aeF6+6vLj+KDvXWU1bV6WhfiTSLTu+uAC4FXwh+KyBzgEmAucBbwaxFJEZEU4FfA2cAc4FL7tQD/C/zEGDMdOABcm8B1x50dVU2A9cH9zRWLmTc+j7nj8jzV7hHumCyfUcQD1ywlJ93PYo9nG8I3dZ/gucv2IuEcXp8+KptvnzeX0+eMJj8zwDQPTWNzCKT4eHlLFU3tXXzjQ3NZMrmAo6d6S8ZOi+DTH5QzNi+dn1y8kMzUFJZ6WBccvR2Vk4bfJyya6N1eeoCy2hYAinLSGJuXzg0nTkvyigbmhOkjefATS8nLCHjejoUT7picdeRYvvWRuQCe/x189h4yOjeNEVmpnm3P7U1RThpLp47gnHljkr2UiIRXAlbMLOLXVxyF3yccNcl7+uDo7j/XlnHBovFcc/xUAinCAg/bt5oma/Ll6Nw05ozNJTvN+41do3LSPLcP9ybcjp0+ZzTfuWAegCf1NlEkTJOMMRuBSNWP84A/GWPagJ0isg1Yan9vmzFmh/2+PwHnichG4BTgMvs1DwLfBH6TqLXHm+1V1lmm4qJsstP8PH7Tsj73b3iJvIwAeRkBXrv1FLI8fp7JcVQXTcrn/o8f7cmDtL3ZXWOdCSkuysaf4uN3VyymvrXDU9PYHPz2oeWTZxUxZ1wuD127NORIeQWnLcwY+ORyq7Ly5m2nkpPu3Y3S2Xz+3+IJ3HDiNM/rraOzv7tyMTNGZZM1BJyQEVmpjMhK5ZUvn0ymx+1YOE6L4CS7/efKZVM4d/44T1WNI1HdaLUH3vmRuRw3faRn23N789znTiQzNcWznRq95XjyrFG8+9XT+lQMvUB4e+sNK4opLsrm+OmFnrdvAL+7cgkzRg2NpMCLXzqJNL+3P19OYsC5CPvSpZM4c+4YCjK9p7eJIhm75HjgrbCvS+1nAHt6PT8GKARqjTGdEV7fAxG5HrgeYNKkSXFc8qGxvbIRn8CUkdaGmeZP8WQrQm+8aMB7Y7Aap0dmpw0JIw7dzur0UVbFyucTz6491TaSN588HcCTh1OdCZgFmQEuXToRsC6g9jL7myxndKjorTNqd9bonCERXIUzFOxYOE1t1lY3ubD7fIXXgyuA6karEjBjdA65Hr2YPhJel23v89GA5wZxODjtrWcfOSZUwRwK9g0s2+b1AVkOQ6HK1tZhFRHCz4l5/bMWbw4pBBaR50VkXYT/zovXAgeDMeYeY8wSY8ySoiLvTOXaXtXEpBGZQyKoWu6xO0AGYrqdcfp/R0WMuT3JhxeMA2DSCO+1BPZmTF46J0wf6enWy4xACnkZAW5YUezJADASJ0y3PmfHT/f24AKHM+aMBhgywZVzXnAoMtF2SC5d6p0kYSxccrSV3Jjk4YP34YzMttpdvY7zmfvUyd4aHx+JMXnppKb4uPmk6cleSsw4Ew6HSnDl7B1exzmje+Uy7w2OcQsJvxAuIX+ByEvAl4wxq+yvbwcwxtxtf/0cVssfwDeNMWeGvw74HlAFjDHGdIrIsvDXRWPJkiVm1apVcf5tDo6G1g6qG9uZ6sEzNuG0dXaRIuLJVrX+aGnvGjLGESAYNLR3BT11Bi8aHV1BgsZ4PjnQ3N5JRsC7bT6RGEp62xU0dAwRnW3vDOIThpwdC2co6YbDULJrgH0hbvcZTi/T2tFFmt83JOxbc3vnkEl0gWXbOoNBz+9xMPR8tKFoxw4GEVltjFnS+3ky/pWeBC4RkTQRmQrMAN4B3gVm2BMDU7EGYTxprAhwJfBR+/1XA/9IwroPmpz0gOeDK7BaF4fKBzecofYB9vlkyDghgRTfkNh4MlP9Q8L5CGco6W3KENLZVL9vSNqxcIaSbjgMJbsGlm0bCsEVWJPuhop9G0rBFVi2bSjscTD0fLShaMfiSSLHtF8gIqXAMuBpu1KFMWY98BiwAXgW+JQxpss+Y/Vp4DlgI/CY/VqAW4Ev2AMxCoH7ErVuRVEURVEURVGUgyXhLYLJQkSqgJJkr8NmJFCd7EUcJqis3UHl7B4qa3dReScelbF7qKzdQ2XtHl6S9WRjTJ/BD8M2wPISIrIqUn+mEn9U1u6gcnYPlbW7qLwTj8rYPVTW7qGydo+hIOuh08ypKIqiKIqiKIricTTAUhRFURRFURRFiRMaYLnDPclewGGEytodVM7uobJ2F5V34lEZu4fK2j1U1u7heVnrGSxFURRFURRFUZQ4oRUsRVEUJD2ztgAAIABJREFURVEURVGUOKEBljKkkKFy26KiKIqiKIpyWKIBljLUyAYQkcP7inBlWKGJA2W4oTqtDEdUr5VY0QArjoiIyjMBiMUoEXkJ+D2AMaYruasa/ojIR0SkONnrOEwIJQx0A1eGCfkAIuJP9kKGMyJymYgssP+stiPxpDt/UHkr/aEBwSFiO6FfSPY6hjPGmsTSav83X0TOBg1oE4WInCYibwL3AWOTvZ7hjIicKyLPAz8WkRMhpO9KnBGR80Xk28lex3BHRPJE5DngWQBjTGeSlzQsse30q8BPgUWgtiORiMgZIvIG8EsRuRxU3oliuNhqdVAPEhHxi8itwM+BH4rIQmNMUFvX4o8dSE0A3gduA74BYIwJJnNdwwm7SpgtIk8BX7P/ewuYbH9fbUWcEZEpwHeAXwAbgetF5JP291TeccDW6xRbrj8EbhOR5cle1zCnBagFjhSRj4G2dMcLW58zROQxLBt9F/A4kGl/X+WcAESkCPgW8H3gEeBiEbnd/p7a6jgwHG21KsZBYmflNgOzgS8Av7Ofa+vaISIit4jI90Tk/0EokCoDZgKvA+UicqOIzEjmOocTxqIR+KMx5iRjzAvAc8B59vc1mI0/xcBrxph/APdjtb9+RkQK7GSNtp8cIrZedwHbsLL8NwNDPjPqVWwHvwArOXMxVvIAY0yX6vOhY+tzC/CIbaefA94ArrS/r/5HnLH1djSwxhjzd2PMi1iJ3v8RkZFqq+PDcLTVGmANgjDH/yL70dPGmFZjzE+BUSJymf26QPJWOXSxMxifx9qYVwF3icjHRWQEMB3LwFVjbSg/An5sv097/A+SMJ3+GIAx5s/2cx9wANgjImnJXONwQUQ+KiLHhD0qBf6fiKTZduQlLN3+RlIWOIyw9fpepyIIvGyMaTDG3Atkici19ut0DzwEwuT8CRER20GqB841xvwTWCsi3xCRI40xRh3RgyNMztcB2EkZJ6DdCawXkYnJXONwQkSuFpHTIdQG2AgcZ/siGGM2AI9hJxCUg2c42+oht+BkEMHxv1NEPo6VqXP4AvADAGNMh+uLHAbYhuxk4GvGmMeBzwMLgdOBCmC5iDwDXINVydphv1WzdoMkgk5/yw5miyBUsdqJ5Si1JXGpQx6xBrS8jNVOfLuzURhjNgP/Af7Xfp0AvwUmisho7e8/OGzbfBnwV+BKu5VnWthLvgF8wakUJmGJw4Jecr4aS7eLgRysChbAn7Dk/YD9tSbDBkkvOV8hIl8RkWkQqljVAwuw2jKVQ0BECkTkceB7wI+clktjzC7gv8DPwl5+OzBNRKaqrT44hrut1gArBqI4/vOBM8Ne8zdgi4h8CawDqMlY61AlLDuxClgOYIx5FqsNcwFWybgUeNcYMxe4BDhJRMarcRs8UXR6AXBW2GveAEpF5CPJWeXwwBhTCfwDS7blwA1h374T+JCIzA0b5tKAlTFVDo5Tgf+17ccXsaZ+Xe580xjzL7rPvOU41Vtl0PSWcxrwMawzWGeLyL+BW4AXgRL7PTrwYvD0lnMqcIXzTWPMB1h245LkLG/4YIw5APwbOAJYTc9ugk8DZ4nI0fbXTcAaoN3VRQ4vhrWt1gBrAPpx/LcCc0VkVtjLbwK+LyIVwHhXFzrEcDJDTstIWHZiG5AjIvPsr1/ByohWAjcaY+6wX18DHG+M2evqwocB/ej0Fiydnm2/LhfYBGhF9iAJk/UvgA1Ym/e5IjIWwBizHWta469F5AQsx2kUMOSydckmTNb/BT4EYIxZBbwJjBeR48NefitwN5YdH+PmOoc6A8h5GnACVmX2HWPMQmPMGVjJMM30D4J+5PwWlj6fYL9OsM7LpmsL5sETJruHjDG1wK+BC0VkMoAxph4rIfZ1Ebkaa8jIXDQZNmgOF1utAVYvBuH4vwzkYTn/iMhC4F6sUudRxpgH3Vz3UEFEjheRB4GvicgIZ8OV7nNr72BlOc8QEb8xZj3WJLtFxphWsabMOP82athi4CB0Ott+XT3W9MbRri54CBNN1saYDnswzhtYQetnnfcYY+7GCrKuBWYB19oH2ZUBCO/LD9Pr1wGf2GPvgXVYlcNx9numYzlPf8ey1XqOYgBilPN6rC6DHOAbxpivhf2IScaYna4sdggzCH0uw75Cw95DRwFNGsAOjl7yNvb/W+3/vwv8C2vSq/OaX2KNxV+M5Zd8zBhT5+aahyK9A//DxVZrgGVzEI7/Bqwq1RL7+/uBm40xHzPGlLm9/qGA3Tf+a2AllnH6toicA93n1owx27AqK8VYk3oA2oBd9ve7dBOJjTjoNMAlxpgH3Fz3UKQfWaf02lyqgSeBmSIywT6fVWCMeQi4wRhzkTGmIgm/wpBBRJaKyC3Qc7plmLO0FcvZv1hEUowxpVhJgin29+uATxtjLlRbHZ2DkPMeLMdosjGm3dZ957xhk8vLHzIcpD6PoVufAb5kjPmDS0se0vQjb5G+gxR+CUwXkbkiMlpEphtriuDnjTFXq/3oH1vW9wK3in2+237uXCcwrG21BlgcsuNfYn9/j90LrURnKbDRdti/hHWv1YeddikRuUtE7sPqff45sFREVgM1WK1VSozEI5i1X9Pq3qqHJgPIussYY0QkTaxpgV3GmFewNpV1WFXDkfZrtZd/AETkc8DfsAJZ58Jx5yC64yw1AK9inQn6oZ1QKMBKgmGMqTLGbHV77UOJQ5BzPt1y7jJD8GC6m8RDn+3Xqu2IgQHkbYw1cj1DRJwujt326z/AstW59nMdrNUPdnLlbuAerCrVUcAdIjIaeshvWNtqDbAsDsXxfy45S/Y+IvJhEfm0iBxrP3oHa0LaJPsM1etYGYpLxOonnwbcbYzZZYzZhDVd5lRjzA26UQ8aDWbdYyBZfwvrjivn6xuxBl38Dpg/lDeQJLATq2f/JuykQLizIyJ3Av+HZVe+jrVZv2p/rW3bsaNydgeVs7sMJO87sC4SnmZ/fSnWfUw/BOYZY95ze8FDmL3ARfa++HngWCDD+ebhoNtyOHZbiciHsTLNq4wxb9kZ6IeBS40xu0VkDnAVsA94F+sD9g0744+d3fDbByGVXtiO5T1Y2cx/YwVKnzPGPCciPwTKjTHOCNTLsIzZT51eZhHxaUA1OFSn3SMOsj4N2OV8rUQngqyd1pIA8ATwrDHm53Zrz1ys0clfN9bwEKfNKssY05CE5Q8ZVM7uoHJ2lzjI+1hgn9HzgwMSJuu3jTHv2q3yNXbnRpuI/B24yxizSkTmYwW4w1q3D6sKloiMFZGngC9jRcv3i8iZxpgdWNNLnBGQm7FaeHKBD4wxlxljtoX1kzeqI9ovS4BXjTHLjTHfxro74nr7e68C80TkGDtztBc4UYOrg0N12j3iIGunFeV5Da76px9ZdwFBu3X1R8C1IjLSGBM0xjiy3h6m18HhtGHHG5WzO6ic3SUO8nZs9VsaXPVPBFk/JCJn2F1K2MFVDjAVazgLxpi1h4NuH1YBFur4JwwRuUpEThKRNOAFrIy+w36sEeAAb2ON5vyxXTWZC5SISCb0PHSqxITqtHscqqy1bz92esv6p8CN0D3tC+vM21vAZ8A6UG3/X1SvY0bl7A4qZ3c5VHmrrY6dSLK+uddrlgLrjTFlIpItIjNg+Ov2sA+w1PFPHGIxVkRWAldjtfv9Acg0xpRL97S6sViZDYwxFcaYn2HJ+w9Y9/78rzGm2f3fYGiiOu0eKmv3GEDWNVgXToamq9kyvQtrQlUdcJS9YR9+fe+DQOXsDipnd1F5u0cMst5gv87xAQuAPSJyDVbb/ELoEewOS/zJXkAiEBHBGmP6f1gXdm4HrgM+6zj+xpqk1sPxB34m1qVyf8DqJb1KHf/IiDVSs8su/e41xlxhl9V/inX+6kK6L0s9HSvbj4iMMsZUYpWTM4ZbSThRqE67h8raPQ5S1kH7fcXA/VjDcj5ndIprVFTO7qBydheVt3scpKw77LefB1yONbziYmPMWrfXnwyGXQXLdvwN1mWHe40xp2JNjKnBcvyhp+P/uP2+UfazL2Nd9HmMMWazeysfGog1fvO7wHdFZAXWxahdEJrG81ngOBFZYQdgqUAVsEVEvgP8R6x7fzo1uIoN1Wn3UFm7x0HI+q/2+5x7xuqxhoecqs5RdFTO7qBydheVt3scgqxH2s+ewZooeM3hElzBMKpg2dWTbwMpIvIM1gHzkOMvIp8FymzH/+UIjv+HROQkY8wBrNn8Si/sgOpnWAf638OS93eBk0VkqTHmHTs79E3gTuAkIB34OLAc61b002wZKwOgOu0eKmv3iJOsT7Yr4ZVJ+jU8j8rZHVTO7qLydo84yfpEY8yjyfodksmwqGDZjv9qrLLkNiyF6MB2/CHUb/tNLMcfuh3/F7CicnX8ByYI/MgYc5Mx5l6si1KnAt8AfgOh/ua/A5UiMgGYDfwR+Jgx5hZjTFVylj60UJ12D5W1e8RR1jWuLnyIoXJ2B5Wzu6i83SOOsq5zdeEeYrhUsBzH/2EAEVlET8d/cZjjf4rt+I/Dcvx/bIx5PznLHnKsBt6xy8VdWL3LRxpjbheRz4nIZ4wxv7DlGzTGlAKlWHcCKYNDddo9VNbuobJ2B5WzO6ic3UXl7R4q60NkWFSwsBz/x6T7ErnXgUnGukE6xXb8g0DI8bfb2a5SJYgdY0yzMabNdI8wPR2rHAxwDXCEiPwTeBTr38Q5GKkMHtVp91BZu4fK2h1Uzu6gcnYXlbd7qKwPkWERYKnj7y5iDbrwAaOBJ+3HDcBXgO8BJxljfgDDfwxnolCddg+VtXuorN1B5ewOKmd3UXm7h8r60BkuLYJA6ECeIbLjfySw0xizF9TxP0SCQCpQDcwXkZ9i3Qn0GWPMa0ld2TBDddo9VNbuobJ2B5WzO6ic3UXl7R4q64NnWAVYqOPvCsYYY/fjXo7Vk3u/Mea+JC9ruKI67R4qa/dQWbuDytkdVM7uovJ2D5X1QSLDLeAUkWOBN+z/1PFPEPaBxiuxDjO2JXs9wxnVafdQWbuHytodVM7uoHJ2F5W3e6isD47hGGCp468MK1Sn3UNl7R4qa3dQObuDytldVN7uobI+OIZdgKUoiqIoiqIoipIshsUUQUVRFEVRFEVRFC+gAZaiKIqiKIqiKEqc0ABLURRFURRFURQlTmiApSiKoiiKoiiKEic0wFIURVGGLSLSJSLvi8h6EVkjIl8UkX73PhGZIiKXubVGRVEUZXihAZaiKIoynGkxxiw0xswFTgfOBu4Y4D1TAA2wFEVRlINCx7QriqIowxYRaTTGZId9PQ14FxgJTAYeBrLsb3/aGPOGiLwFHAHsBB4Efg58DzgJSAN+ZYz5nWu/hKIoijKk0ABLURRFGbb0DrDsZ7XALKABCBpjWkVkBvCoMWaJiJwEfMkY8yH79dcDo4wxd4lIGvA68DFjzE5XfxlFURRlSOBP9gIURVEUJUkEgF+KyEKgC5gZ5XVnAPNF5KP213nADKwKl6IoiqL0QAMsRVEU5bDBbhHsAiqxzmLtAxZgnUlujfY24DPGmOdcWaSiKIoypNEhF4qiKMphgYgUAb8Ffmms/vg8oNwYEwSuBFLslzYAOWFvfQ64SUQC9s+ZKSJZKIqiKEoEtIKlKIqiDGcyROR9rHbATqyhFj+2v/dr4K8ichXwLNBkP18LdInIGuAB4GdYkwXfExEBqoDz3foFFEVRlKGFDrlQFEVRFEVRFEWJE9oiqCiKoiiKoiiKEic0wFIURVEURVEURYkTGmApiqIoiqIoiqLECQ2wFEVRFEVRFEVR4oQGWIqiKIqiKIqiKHFCAyxFURRFURRFUZQ4oQGWoiiKoiiKoihKnNAAS1EURVEURVEUJU5ogKUoiqIoiqIoihInNMBSFEVRFEVRFEWJExpgKYqiKIqiKIqixAl/sheQKEaOHGmmTJmS7GUoiqIoiqIoijIMWb16dbUxpqj382EbYE2ZMoVVq1YlexmKoiiKoiiKogxDRKQk0nNtEVQURVEURVEURYkTcQmwROQPIlIpIuvCno0Qkf+IyFb7/wX2cxGRn4vINhFZKyJHhb3navv1W0Xk6rDni0XkA/s9PxcRice6lcQRDBq+8Of3WV1yINlLURRFURRFURTXiFcF6wHgrF7PbgNeMMbMAF6wvwY4G5hh/3c98BuwAjLgDuAYYClwhxOU2a+5Lux9vf8uxWOU1bXwxH/38p8N+5K9FEVRFEVRFEVxjbicwTLGvCIiU3o9Pg84yf7zg8BLwK3284eMMQZ4S0TyRWSs/dr/GGNqAETkP8BZIvISkGuMect+/hBwPvCvwa6zo6OD0tJSWltbB/vWIU16ejoTJkwgEAi49nfu3t8MwL76w0vWiqIoiqIoyuFNIodcjDbGlNt/rgBG238eD+wJe12p/ay/56URnvdBRK7HqooxadKkPt8vLS0lJyeHKVOmcLh0GRpj2L9/P6WlpUydOvWgfsZd/9zAcdMLWTSxgOx0P4GUgQufJTVWgFVe13JQf6eiKIqiKIqiDEVcGXJhV6uMC3/PPcaYJcaYJUVFfSYm0traSmFh4WETXAGICIWFhQddtWvt6OL3r+3kEw+sYsUPVvLT57fE9L7ddoBVUacVLEVRFEVRFOXwIZEB1j679Q/7/5X2873AxLDXTbCf9fd8QoTnB8XhFFw5HMrvXHqgOfTn+tZOVm6qiul9TotgeV0rVnytKIqiKIqiKMOfRAZYTwLOJMCrgX+EPb/KniZ4LFBntxI+B5whIgX2cIszgOfs79WLyLH29MCrwn6WkmCcShTAmNx0NlbUc6CpfcD3ldQ0AdDWGaS2uSNh61MURVEURVEULxGvMe2PAm8Cs0SkVESuBb4HnC4iW4HT7K8BngF2ANuAe4GbAezhFt8G3rX/+5Yz8MJ+ze/t92znIAZceIWKigouueQSiouLWbx4Meeccw5btmzhyCOPTPbSIlJiV6Leuv1UfnnZIoyBt3fu7/c9HV1BSvY3MzI7DYAKHXShKIqiKIqiHCbEa4rgpVG+dWqE1xrgU1F+zh+AP0R4vgrwZgQyCIwxXHDBBVx99dX86U9/AmDNmjXs2+fdUea7a5rJTE1hdG4ahdmpZKam8Mb2/Zx15NiIrw8GDVfe9zYNrZ1cdMJE7nttJxV1rRwxNtfllSuKoiiKoiiK+7gy5EKxWLlyJYFAgBtvvDH0bMGCBUyc2H30rLW1lWuuuYZ58+axaNEiVq5cCcD69etZunQpCxcuZP78+WzduhWAP/7xj6HnN9xwA11dXXFd8+79zUwakYmIEEjxsXTqCN7YHr2CtbGinrd21HDb2bP55HJramG5DrpQFEVRFEVRDhMSOabd09z51Ho2lNXH9WfOGZfLHR+eG/X769atY/Hixf3+jF/96leICB988AGbNm3ijDPOYMuWLfz2t7/ls5/9LJdffjnt7e10dXWxceNG/vznP/P6668TCAS4+eabeeSRR7jqqqvi9jvtrmlm6sis0NfHFRfy3Wc2UVnfyqjc9D6vf31bNQAXLBpPYVYqPoEKHdWuKIqiKIqiHCYctgGWV3nttdf4zGc+A8Ds2bOZPHkyW7ZsYdmyZXznO9+htLSUCy+8kBkzZvDCCy+wevVqjj76aABaWloYNWpU3Nayp6aZHdVNnDl3TOjZccUjAXhzx37OW9j3OrLXt+2nuCiL0XbwVZSTphUsRVEURVEU5bDhsA2w+qs0JYq5c+fy+OOPH9R7L7vsMo455hiefvppzjnnHH73u99hjOHqq6/m7rvvjvNKLX7z8nZSRLj82O5Lm48Ym0tuup83t/cNsNo7g7yzs4aLlnRP1R+Tl6FDLhRFURRFUZTDBj2D5SKnnHIKbW1t3HPPPaFna9euZc+ePaGvly9fziOPPALAli1b2L17N7NmzWLHjh1MmzaNW265hfPOO4+1a9dy6qmn8vjjj1NZaV0xVlNTQ0lJSVzWWrK/ib+s2sNFR09gbF5G6HmKTzh2WmHEc1jv76mlpaOL46aPDD0bm5uulw0nge1VjazaVTPwCxVFURRFUZS4ogGWi4gIf/vb33j++ecpLi5m7ty53H777YwZ092Cd/PNNxMMBpk3bx4XX3wxDzzwAGlpaTz22GMceeSRLFy4kHXr1nHVVVcxZ84c7rrrLs444wzmz5/P6aefTnl5eVzW+v1nNxNI8XHLKTP6fO+44kJ21zSzJ+yOLIDXtlXjEzh2WmHo2Zg8DbCSwZcfX8snH1pFV1AveVYURVEURXGTw7ZFMFmMGzeOxx57rM/zdevWAZCens7999/f5/u33XYbt912W5/nF198MRdffHFc17i65ABPf1DO506bEXGQhVOhenPHfiaOyAw9f2NbNfMm5JOXEQg9G5uXTkNbJw2tHeSkB/r8LCX+lB5oZnXJAQDW7a1jwcT8JK9IUf4/e+cZGFWV9+HnzkySSe+9F0oSAqEFCEWKUgTFLlgRrGtb9dVdy6597brW1bWiIIKCq4iC9B4glJCQkN57n0mZPu+HKWTIJCQxIQTn+QR37sycubn3nPNvv78NGzZs2OiKVqWG1YeKGRvmycQIr8EezoCiUGv56UQ5V4wJwsn+4jVDbBEsG2aK6lppblfz8qZM/FwduHtGlNXzhvm54ONiz8EOaYItSg0nSpuYGu1tcW6Au8FAq7bVYZ03fjl5Joq5N7d2EEdiw8bFw2/pldTIbfOYDRs2+g+tTs+6I6XMfHMX//r1NJ/szh/sIQ04n+4p4G/r03n795zBHsqAcvGajjZ6hUqj46qP9mMnFlErV/LatQldehYEwVSHVYder0cQBA4X1qPR6Znaof4KIMAYAatqVhLj5zrgv8MGbEyrYEyoBxqtjr25dTxgJc3Thg0bPae5Tc19q48xfZgPXy9PQhCEwR6SBTqdnvKmdouMAhs2bFz4PLTmOJvSKxkX5oG3sz01cuVgD6nfaGpTcd+qY7SptTiIRXg523P/rBg+3p2Pg0TEVweKuGVyOBEdWgFdTPzpIlh6/Z+vJqUnv/lQYT1NbWpq5UpG+Lty3fjQbs9PjvahWqaksK4VMMiz20tEjA/3tDjPJJBRaeuFdV7Ir23hVIWMK8cEMTrEnfzalsEekg0bQ57iBsM8tze3jh2nDaJCze1qdBdAjeO+3Dqu+GAf01/fybGSxsEejg0bNnqIXKFm86kqbp0czvr7khkd4n5RZfv8nlnNwYJ6HO1EiESwM7uGGz45iEKjY+XyJAQBvknpH2G2C5E/lYEllUqpr6//UxlZer2e+vp6pNLOtVQd2ZpZjdROxEc3j+OTW8cjFnXvoU02pgKa1AT359UxMcITqZ3Y4jw/NwcAm9DFeWJjWgWCAAsTAglwc6SuRYVSox3sYdmwMaQpMQr6uDva8dKmLCqb20l+ZTtrU0vP8c6BI7NCxm1fHOaWzw/R1KbGTiyw5VTVoI3HRu/Q6/WkFjUgV6gHeyg2BolDBQ1odXoWJAQgCAL+blJq5cqLRpxqd3Yt/m4OrLlrMt/dPYW7Z0TRrtayNCmUyVHezI0LYP2xMhTqi3OP8qdKEQwJCaGsrIza2j9XXYpUKiUkJKTbc7Zn1TBjmC+XJwT26DPDvZ0IcpdyML+ea8YFc7pKziOXDu/83XZivJztqbyIvDIAO0/X8NB3x9n3xGzcnQZfvEOv16PXGwyspAgvAtylBBrr32pkSlvqkA0bf4DieoOB9a+rE7j/22Os+CqVVpWWlIJ6liaFnePd/Utzm5oXfslkw/Ey3KR2PLMwllunhLPiq1R2ZNXw5ILY8zoeG73neEkjL2/KIrW4kXtmRPHk5ba/2Z+R/fl1SO1EjAszZP74uUnR6aG+RWlVYGwoYShRqGXBqEBzSvV9M6NxcZCwZKJhzrx5Uhib0iv5LaOSq8d2v0cdivypDCw7OzsiIyMHexgXHFXNCsqb2lkxrefXRhAEpkT7sDO7xpwmGO1nPY82YJB7YSk1WtYcKuGmSeHYS/onaJtSUI9coSG3Rs6EQVb80ev1PLoujcOFDZQ3tbPc+Hc0CYxUyRRD2sDKqpThaCe+aPO0zzdljW1klMuYPyrg3CfbAKCkvg0fF3sWjg7kh6O+7Mw2OOnSy5vR6fSIzhHx7y1tKg1vbsmhoVVJu1qLXKGhoVXFv65J4PHv0yhpaOPu6VH8ZWaM2cEze6QfL/ySSV5NCzF+Lv06Hhv9g1yh5tmfTrHheDk+Lg4EeziSUtC5p6SNi5+Xfsnk64PFTB/mY8788XM1ZPzUyIe+gbUpvRKZQsPsWD/zMSd7CfdcEm3+/5RobyJ9nFmdUnJRGlh/qhTBi4n1R8v46UR5v3zWiVJD3v7YsN7JeU+J9qahVcWWU9UARHhb3wAHukupHEQDa3NGFc9tzGTzWekzpQ1tPLr2RLcpGl2lk+bVGGqbTJ7twWTtkVJ+PF5OeVM7YpHAglGGKKTJwBrMa/9HaWxVsfjD/cx8cxerLuJc7fPJ27/ncN/qozS2qgZ7KEOGkoY2woxOimcWxWEvERHgJqWgtpWop37ll5MV/fp9Pxwt44v9hRwtaaSoro12tZaC2laWf3WE/NpWVt6RxJOXx1pEzxeNCcTZXsxrm0/361isoVBrzY41Gz0jt1rO4g/281NaBffPimbX4zO5emwwGRUyPtyZxyu/ZlHRZKhVVmq0bDhWRu1FJHhg4wylDW18vr+QuXH+vH7taPNxf7eLQ3W5rkXJa7+dJj7IjUtj/bs8TxAEbkoKI7W4kZxq+Xkc4fnBZmANUR77Po2HvzvRL591vKQJe7GIuCC3Xr1virEO69tDJQBdRhgC3KWDOmEcKmwAsJCVB7jl80NsOF7Onpw6q+/bebqG0c/9To2VsecZxSOKGwbfwPruSCnxQW58fvsEXlgcj5ezPdAhgnUBC4zodHpWHyrm91NVnQQDiutb+eFoGSqNDpFw5u9oo+9odXp2Ztcig5bcAAAgAElEQVSg19MvnvO00ia2Z1X3w8j6j7d+z2ZzRv80XDdR0tBGuNGBFO3rwv6/zealq0aZX//pRP8ZWHq9ntUpJYwKdmPP47PY8sgMfvzLVOaNCqCpTc0lw33NvQg74ucq5S+zYtiaWc3pKlm/jccaq1KKmffvPbb6oR6i0+m56bNDyBRqVt85icfnjcTFQcKECE+0Oj1vbMnm070FPLYujd05tSz4914eXZfGI2tPDJma8cEYZ2FdK2//ns36o2WklzWjUGtpaFVxvBdiL4b0+vM79m8PlyAA/1gUZxGp8jfWrFfLBsaw3nCsjNIB3rPkVstZ9N4+6ltVvLA4/pz1/NeOD8FeLOKlTVlc+58DpJU2Wbxe2dzOtszqIfMcdMRmYA1x+mOBO17aRFyQGw4S8blP7kCwhyPRvs7UtSjxcXHAxcF6xmmgu5SGVtWgFTIeNm7MD+TXUStX8vXBIm74+KA5+pRe3mz1fZ/uLUCu1HRS5lKoteai9+L6wfXiNraqSCtr4rI4f+bE+nPzpHDza64OEpztxRdsBCunWs4dXx3h6R8zuPubo3y2r8D8Wo1Mwdx39vDyr1kEuUuZMdzXHDW8UJFZeRa1Oj2nKpoviMVBr9ezK7uGxjbDOPfnW3cs9ObzHvs+jb9+d+KCKcqualbw/o483tma22+fqVBrqWi2lED3dXUgsUPEX63V9dv3nSxrJrtazs2Twi3k4G+dHI5IgLumW+9PCLDAmPZ5ssz6nNZfZFXKUWl05/2ZrGtRUt40sA6jgXhWC+paqZUreWL+SCZHnekVOc6ouuvr6sA/F8VxsKCe2784jB5Dfcq+vDqrwiWlDW0DpmDZ0IfI9tHiRsY8/zsnztocDxQmo2hVSjHv7cjjse/TuOKDfcx4fSfjXtzK1R8dsHgm/7Mrn3u/OWr1s1757TQJz/3OZ3sLrL7e3yg1WtYdKWVOrD9BHo4Wr/m4GAysp35MZ8Oxsn793voWJY+uS+O/ewbud9a3KFn6aQpavZ719yUzPvzc5RNezvYsSAhgT04tR4sbufPrVFKLGvjucAlL/nuQ5Fd3cOfXqWzLqkGh1rLpZOUFs96cC5uBNcTJKP/jnsrTlTJGBfcuemVijjH862vMHbbGYIa961qU5NW0EOQupbi+jUn/2sY/fzpFU7uKx+eNIDbQrZPHBAxy5yaFxFMVlte4oLYVvR4EYfBTBPfl1aHXwyXDfTu9JggCAe7d1789ueEkiS/8zj9/yjhvRkBJfRt//e448/69h6PFjTx3RRyRPs4cKz7zd/hifxFqrY5gD0funRlNjK8LBbUt3U6ser2ezRlV3PjJwU7RyoHmZFkTic//zqmKMxtblUbHg2uOsfC9fdy36hjLvzpCc9vgefw/31fIipWp2ItFTAj35Lf0Kv75Uwbvbc/tU0Pqg/n15NW0IFdqyKoc2IhJT/nNGLnKrpaT208pJ1mVMvR6iAu0nCN9XBz49aHpzIv379d0ue1Z1YgEmB9vWSOXFOnFsX9cxrRhnaNXJsK9nZHaiThdObDpNoV1BsPqfBpY646UMvXVHcx/Zw8ZXTjF+kJRXSuZxjlep9Mz442dPL/xVL99PmAeb0Kwu8VxN6kd6+9LZtujl3DTpHCuHBPEE/NHsPmv03lh8SgC3aVsOHamFECr0/P65tNMf30nH+7MQ6/XszWzmhalpl/G+X1qKeNe3MqhHka3a+VKPttbwM8nypEpNDy05riFYaNQa9mcUdVpbcmplvO/4+V9XnPe2ZZL7D83U9rQRpSPM9sevYT3l45FqTnz3aYWJT+nVfDa5tNsPlXVySGt0+lZf7SMFqWGl3/NOi9tTTZnVFHfquKWyeGdXrMTn9mSv78jr1+/1+R0OVk2cEbwqpQS6lpUrLwjiVFn3evdsXxqJN7O9vxjURwA1318kL9vSKdGpuSvc4bj4+LAD0dLWXuklPu/PTZk2lH8qUQuLkZOljWZU/XOxRtbThPk4WgR5WhuVyNTaMz1Bb1l1gg//rungLJuws5nemEpzGk25wuT8fT3y2P5PrWUsWGeLBodyHB/Q9PjqmYFPx4vR6vTW4Sy1xwqQSIS8HV16LSYm9IDx4Z6UDTIBtaB/DrcHe0YHWK9fi7AXUpFFwbWqYpm1hwuJdrXma8PFjMq2J0bJnTf/6w/uO2LQ1TLlNwzI5p7ZkTh6WzPzuxaypoM11KmULM6pZgFCYF8eNM4AL47XIJSo6O8sZ0wb8t7dXtWNTKFmlUpJRwtNky8n+8r6PFz0RPUWh0f7MhDodFy/6wY3KSWypF7c+vQ6eFUuYz4IMPCsvJAEb+mVzExwtNc/3ewoH7QxCWOlzbh7+bAx7eMp6FVxSu/neanExU0t6uxl4jIeG5er0RgVh4swsVBQotSQ0pBvcWCWitXsv5YGaGeTiwc3VmZdHtWNW0qLVeMCer2O0wGaU+VOn9NryTYw5GK5nZ+Tqvgsbkjuj2/RanhmR/TuTIxiNkjrdcKmCLcCSGdNwxxQW6M8Hdla2Y1Ko0OO7FAenkzcYFuSMR981/uzK5lbJgnnsZU3454OHU+1hGxSGCEv+uApwia5r2fTlSQWtTImFAPJkd5EenjPCBNmFuNG+D4IDeqZUpu/+Iw3987hSjfPy7mcf+3xzhVIWNMqAdjQz0obWjny/1FPHtFfD+M3EB6eTMOEhHDrIiPdOwd+d7SsRavXRbnz7rUUtpVWpQaLQ99d4I9ObX4uNjz6d4CEkLcuevrVP6xKK5XIlXWqG9R8tSP6QDsOF3DpKjO82dxfStP/ZjOOzck4iq1Y8XKI5wsazbPGyUNbZwsazJHLr47XMJzGzP55cFpjAp2J7NCxgc7c/k13TAfhnk7mRX0eoper+e97YYI9bGSRuKC3InxcyHGz4UwLyfWpZay+lAJp8plqDQ6Hv8+DS9nexpaVeTWtFh8X3p5M/WtKp5ZGMubv2fz0c583rphTO8v3jnIqpTxW0YV6WVNpBY3Eu7txHQrab4Aj102nLe25tDPujnm6GJmpQylRtvrjKVzodRo+SalmJkjfHtdbjIm1IMjT1+KSCSwODGIjWkVjAvzZHSIO4Ig0KJU8+X+Io6VNDExwpMJ4b27ZwYLWwRrCNIxNaCnIfl2lZYPd+bz9I8ZFotvWaNhoQz17JuBNSHCkwA3Kc9e2fVidKYWSIFaq+O2Lw5ztLhv9TTNbWoWf7ifvJqeeWhzqg3G0CXDfflmxSQevWy42bgCw4PdotRwqKCeJ35I4+2tOfxysoIfjpUxLz6AKdHenSJY2VUyJCKB2SP9aGhVnZc0wcZWldUi0NzqFkYEuHaZ55wQ7EFGebO5eLojH+3Kx00qYf19yUyK9OL5n09R0keD8S1jHnx3pJU2kVUpo6i+jb9eOoy/Lxhp3kSGeDpS3mgY47eHSpArNdzXQW3IpIp2toextKGNFStTeWRtGmWNbbx6TQLLkiPYnVNLc3vfo0U6nZ61R0poU2nMY393ey6f7C7g15OVfLm/0OLvYcr5NzWklSvUfLQrj+nDfFh3zxR+eXAagmBY3AYSrU7P8ZJG/vbDSa54f59FWm5+TQvxQe6MDfNkTqw/2x69hLRn5/LukkRUGh25PXymACqa2tmaWc0tk8OJ8HYipeDM89yi1HDDJwd59bfTPLLuBBor6XMrVqby4JrjpBZ1PQ+0KDUsfH8vE/+1jUfWniC1qMHs8d6TU8tnewssIkfVMgWpxY3cMCGUS2P9+Wp/UZfpTqZatFs/P8T/TlTw/MbMLqOj6WXNeDvbE+RuXdUr0tcZnbGm7Y6vjnDlB/v73DyzRq4gvbyZ2SP9zn1yF4wMcDNG3fo3It2i1PDBjlzu+PKw+bruy6tjbWopT/2Yzuy3drPg3b1dpq61q7RW56FzUdei5KVNmTS3q3l6YSzfrEgC4NbPD1t83rojpTy5Id1ijvgmpbjb1C+VRkd2lZykCC9aFGq+OlAEGOaj/iS9vJm4oN4b3XPjAlCoddz1dSpz39lDSn49r1yTwFd3JCFTaHhwzXEAi8h5X9mZXYtaq0ciEkgtth4h+PpgMfvz6ll7pJRH1p4gvbwZFwcJKo2OmSMMWRT5tWeeSdO8cLykkd05tVz+3l725tRx7yXR2IkFNmf0vm/bkaIzY6trURHscea5HBPqwQuLRyG1E7Erp5a7vz6Kj4sDn98+AYDsKss5zhQtvnZcCNeND2HjyYouo4GVze0U9DHC9cjaE3ywI5eKJgXz4gN4f+nYLpVHH5wzjDunRVLe1N6vz7ApcqXW6skagAj3ppOV1LUoWT61b4a+6Xr4uDhwx9RIxoR6mJ01tydHEOLpSK1cycNzhg+IE2cgGDIGliAI8wVByBYEIU8QhL8P9ngGk7YOm6Y9ObU9qm3qWPT52m9nVKbKjJvakD4aWHZiESlPzeG68V1LbHaUC69rUbInp9ZiQ9YbTlU2k1baRGpRz0LEudVy/N0ccHe07gFPDDV4pV/alMW61DI+2JHLA98ep6lNzc2TwogPcqdGrrRQczpdKSfa14XFicG4SSXcuTLVav1Nf/L6lmyu/ehAp81qQV0r0d14cW+ZHIZer+frg5YbPoVay87TNVwxJggPJ3vevjERkUjgkXUnDEZQL1KejhQ18P6OPFYdKmZzRqVV41mn03Pr54e4c2UqQCcZ6RBPJxrb1DS0qvh8XyHTYnwsIiKm8//xUwZL/nuQe75JJaO8md8zDQILn98+gV3/N4slSWEsTgxCrdXzl9VHqZH3PC3VZEwBHC1p5G/r083KhR2Ljt/fkcfzGzOZ+84e7lx5hCNFDRwvMSxeJs/+p3sLaWxT88S8kQiCwKhgd6J8nAc0lU6uULPsy8Nc/dEB1h0tJb28mY1pBvEFrU5PYV0r0b6dI8im63y2I6E7vj1UYq4TGRfuSXq54ffr9Xqe/jGd4vpWbp0cjkqj41iJpROooyFz3+pjZifP2by5JZvypnYWjQ5kW2Y11318kOc3ZqLX63n4u+O8tCmLhe/tNQtaGFKRYOHoAJ6YN4JWlYYPzkqzqZUr+XBnHpe8sZM7vjxCaUMb148Pobi+jc/2Flg1stLLmxkV7N7loh7pY7g3b//yMIcKGvBwsmN3Tt96LZrmteQ/EH2NDXSlsU3dLwp0GeXN3LkylTe3ZDP9tR28+XuOWaLexP2zotnx2CXcMjmM01XyLmuk3vw9m3nv7OlVOptWp2fZl4dZc7iUxYlBjA/3IsrXhZXLk5C1q7n180M0tKrQ6fS8tTWbNYdLuPTt3Tzw7TEK61r5YEcub2/NoV1lfY0sqGtBo9Nz8+Qwtj16Cd/fO4V58f59qkPqCqVGS0Z5M6N7kTJlYlKUF7NG+FLa2EZCsDtr75nM0qQwRgW7c/uUcOQKw7XM7MWz2xUH8+vxdLJjxfRITpY1WcyHYIji/++4IV3xvR25bD5VxdOXx3L9BMPavzgxCHuxyGzg6nR6DhUaUg2PlzSx4VgZ3s727PvbbP6+YCTJ0T5sTKvotRry2enMQe6WxrBYJDAiwI2NaRXIFGo+u30CY0I8cLQTdzKwtmXVMD7cEC2+ckwwKo2OHadrrH7vkxvSuenTQ1YdRt3RptKQUy3ngVkxbHlkBm9eP6bLjBMTIZ6OKNQ66vvpPtTq9KSVNTPdmF7cW8O2WqY4Z3r+F/sLifFzMX9HfxLi6cS2Ry9h5//N7DZF+kJjSBhYgiCIgQ+BBUAcsFQQhLjBHdXg0WpcoBYmBNKq0rIr2/qE0JGUwgZEAtw+JZzdObVUGpXlzhhY/eux64iLgwRXqYSqZoV57E1tfZs4TPVEps2DXq/nYH59lw9/To3cImJ1NlE+Lrg4SMislBHs4UjmC/P55cFpfHvXJJJjfAg3pk529JSerpIzMtCVUC8nPr5lPIV1rdy/+livJ97ekFrUgFyp4XSHBaKxVUVDq8rqptlEiKcT8+IDWHO4xGLBPFTYQJtKa5ZQDfZw5MXFozha3MiCd/eyYuWRHo1Lr9fzr1+zAMipkvPEDyd5YWNmp/Nya1qQKTTmzdfZBlaw8f57f0cutXIl93aIXoEhNeqh2TEM93c1RB9O17L6UAlbM6sY4e/KnFh/HO0NKQ+JoR7839zhpBQ08PWBzpGErZnVFteirkXJkxtOMurZLXxzsAg4s2ExpbKYDLUYPxfKm9qR2ol4eM4wjhY3cv3HB80LYUl9G/UtSj7fW8DlCQEWaWWxgW4WBpZOp+83GebK5nau/9hQe/bPRXHs/9tsYvxc+OpAEa1KDRVN7Sg1OqvGeKS3M0724h5v0pQaLWsOlzBnpD+hXk5EeDtTLVOiUGv5PrWMn05U8Milw3li/ggkIoHtpy1VBk0G1Z3TIlGotTzxw8lO36HV6dlwrIyrEoN5+4ZEDj09hyvHBPHtoRJOVchobFNz94wohvm7cu+qY7yx5TTrUksZ7u9CjJ8rw/xduWFCKN+kFJmjsi9szGTKK9t5Y0s2YV5OfHDTWA78fQ6vXjuapAgvXvntNHPf2c3GtApzFCajvJmcajljQrveEMX4ueDuaMe0GB9+f2QGV44J4lBBAypN7+eDE6V9U3TtyEhjrVhW1R/3Uv+cVsG2rGo+2JlHQogHG/6SbH7NlNp244QwonxduCoxGOi6LmtbVjVypYbf0nuu8PjJnnwyymW8uySRd5ecSZ8bFezOZ7dPoKyxnSX/Pcj6Y2VUy5Q8szCW+y6JZld2Ldf+5wDVMiVtKi07u1gjTRvuEQGuCILAxAgvxoV50qbS9ltd0/68OtpUWmaO6H1U0k4s4ss7ktj9+Cw+XzaRsR3S2/6+IJZbJocxN86f/NqWPt1vJvR6PSkF9UyO8iY52ge1Vs9v6Wc24Tqdnhc2ZlLfqmJevD9qrZ6bJ4WxYlokN08KIynCi0uG+xHh40R+jcE5l1Mjp7FNjb1YRGpxI7uya5k5ws+c7nvNuGAqmxU8/N2JXkl0VzUr8HN1wMGYlni2UATAKOPz8/YNicQGuiESCQz3d7H4noqmdjIrZeY68vHhnvi6OvDryc73p16vJ620iSqZgq2Z1fx4vIybP0vh1Q7O6v/uyeftrTmd3ptZIUOn55xGVUeCjQ5v0/4MDAZuX4VNfk2vpKFVxU1JYSwaHcjHu/N5Z2tOjyJkdS1Kpr++0+yss0ZqcSMZ5TKWJUcMWHRJIhYROcR6YQ4JAwtIAvL0en2BXq9XAd8Biwd5TIOGaeKfE+uHj4s9G9MME8JfvzvOy5s6b24BDhXUExfkxvJpkej08NHOfHQ6PWWNbTjbi/HoYY1DXwlwk1LZ3G72uDX2sdjfpIhX22LYmO7KrmXppynm4vaO6HR68mpaGObXtYElEgmMNm6Cx4V7IrUTMyrYneRog5fExyjeUWf8vuY2NeVN7YwMMEzgyTE+vHz1KPbm1vHsz6csJqycajkvb8r8QwvfNynF3PDxQXPdV8dIZIGx0DyqGwMLYPm0SJrb1fx4/IyncFtmNY52Yos6pcWJQdwxNQIwpHn0ZPL9Nb2K4yVNjA/3pFWlRabQkFbWzL3fHOXTDmpFRzuknNhLRJ0ipiYD/8v9RSQEuzM1prMH/9G5I/hi2US+vzeZSVFe7M2t5XBhA5fFWdbOCILAA7OHMdzflbSzCnoL61q56+tUPttbiEKt5dM9Bcx6Yxffp5YR7u3MS5uyKKhtMRsbJ0qbKG9qp0auxE4sMGOYIQ1mYoQXj1w2nP1/n81zV8QxY7gvc+P8Ka5v5cOd+bSrtTx6mWX9T1yQG2WN7by8KZMnfkhjxhs7mfjyNnbn1PLQmuNdRlC6IqO8mUfWniCloJ6rPzxAWWM7X94xkeXTIgnycOQvM6M5VSFjzlu7zWlS0VZqQEQigdhAtx4bWL+lG4q0b5tiqOUMN9bEbcuq5p8/ZzA1xpu/zIrBVWrHpCgvfk23VH3KNabtLkgI5N5LojmQX28hHfzZ3gKe/jEdmUJjTjtyspfwwOwYVFod//wpw/D+UQGsvXsy148P4cOd+WRVyrh/Voz5cx65bDhikcAbv2dTVNfKF/sLmRcfwPbHLuHbuyazaHQQ9hIRYpHAd3dP5j83j0MsEnhwzXEWvLuXNYdLuHfVUfzdpCxLjujyerg4SEh95lK+WTGJUC8nkqN9aFdrzd57a+j1limoJo6XNPZJ0bUjIwMM893pfoiWZlXKGO7vwv6/z+br5UmMC/PkyQUjkdqJ+Oy2CWx8YJq5JtLkNLGWalpc32oWBPr+rFTiV37LYu47uy2EafR6PW9sOc3rm7NZMCqAK63U6k2K8uaLZROpb1Hx+A8nEYsErhsfwhPzR/Ly1aPMUSgne3GXfcqyq+RIRAJRPmeeC5NgU0fnR41cwdM/pp8zDdoav6ZX4SqVkGxlTvsjONqLeemqBK4YY4jYd5Xi25MMl8xKGeVN7UyJ9mZajA9jQj14+dcsc4uSHadr+CalmDunRfLRzeP56o6JPHdlPIIgEOPnyrp7p+DlbE+0UYwoo7yZu78+ir1YxA0TQyhpaKO5Xc2lHZrOLk4MZtujMwD4eFc+D6053qOx1siVBLhLzfOONQPr4TnD+PauSRb1riMCXMmpltPUpqKgtoXtxkiVaUxikcCsEb5Wn9vypnbznuW+1cd4ZG0aB/PrLfYdaw6X8v6O3E71jyZxCWs1nF1hWg9NziiNVse8f+/hnz9n9PgzTOj1ej7cmUeMnwvz4gP4942JXDc+hHe35/L8xsxzGm3p5c3nVAz9cn8hblIJ14wL7vX4LmaGioEVDJR2+H+Z8ZgFgiDcLQhCqiAIqbW1fUvRGAqYokBuUjsWjApk+2mDitD2rBpz09+O1MgVHClq4JLhvoR7O3PDhBC+SSnmls8PkV7WTIin04DntJrU7Fr6OYL1/VHDbXHYSo+k0sY2FGodIwK6L4Q2eaetFU6evdiaJs+RgWeMthsnhnHvJdGsPlTChzvzzGP84WgZn+4t5K2t2T3/gR1Qa3W8vz2Xw0UNmGydjulWplz3jpsDa0wI9yQh2J1XfzvN5/sKaW5T89OJcubE+pk7yIPBMHn2inievcIQHDYZsSZ259SSWtRArVxJU5sKlUbH61tOM8Lflb8vGGlx7uZTVby6+bTZQ3y0uNFctBvl49ypZqxjBPXB2THnvB8TQz0oa2xHp4e58dbFCUYHu3OkqIH/+z7NnLZo2nRuOFbGnLd28/KvWUyI8GTzX2ew9u7J6PWGOoPMSpl5Ad+cUUWNTImviwNjjCmlJsPUyV7CsqmRfL08iaRIL2QKDV/sL+S68SGdonSTo7wRiwRWHixmT06dWfHq/75P4+e0Cl7alMXWzJ6nbmxMq+DH4+Us+W8KAN/fO4Xpw86oSV4zLoT19yXj7WLPSmOKaFfppLGBPRdGWHmwiEgfZ6YZi7RNAjlPrk/HyV7COzcmmv++N08Kp7Sh3eJ35RoX6hg/F64aa5jGOyqlvbQpi++OGJ7rjg6A4f6uTI7yMj8DsYFuSO3EvH7daN5bOpZ190xhceKZZcHfTcpd06PYmFZhVoV7amGs1WsgEgksSAjkt4dn8O6SRNRaHU9uSEeh1vLxLePNveW6oqP6V3KMNz4u9tzzzdEu+/FkVcr52/p0fungLVdrdaSXN/e64fvZeDjZE+gutYh2n4tjJY1c/dH+TqnOWZUyxoR4ENxhE3vPJdFkvTAfT2d7i02jh5M9vq4OZgNap9NzpKiB1YeKefEXg+PvijFBHClqMK8D36eW8snuAiqaFNzy+SFWfHWEB9cc569rT/DhznyWJoXy/tKxXc4HU2N8+O2v05kfH8ANE0LMIiDzRwXg7WxPgJuUxYlB7Mmp6ySlvy2zmk3plUT5OluIu/i5GlLaa2QKdDqDFPict3az+lAJTxnTX3tCfm0LT25I56cT5VwW69/vogIm4o3RmsUf7GfSv7ax6P293PNNKiX1bVQ0tTP2ha08/WO6OcPCINiTa65RrWtRcu+qo/i42DM/PgCxSOD1a0ejUGtZ8mkKNTIFu3NqcbIX88T8kYhFAjNH+Fnc8yaifJ0pqm/lmv8YZNLX3D2Ze2ZEMz8+gJkjfLlkhKXabYyfK+HeTmw4Xs7PaRV8ub/onL+3Rq7Ez9XBLJgV5NG5NtLPTWp2kpoY7u9KXYuK//s+jas/OsDmjErCvZ0s5oPh/ob02vqz1j6T0NXNk8K4fnwI3941iTumRlItU6DX62lXaSmqN6gLv7nFcr1PL2/Gz9XBrKbcE4LNBpYhgrXlVDUFta2sOVxKWmlTryJZhwsbOF0l5+4ZUYhEAhKxiNevHc2d0yL56kARj32f1m2bCZPjzVq7F71ezyu/ZbE5o4qlSWE42dt08zpyUV0NvV7/X+C/ABMmTBgaQvl9wLQ4OTtIuGJMEN+kFLMqpRi5UoNcqWFPTi1BHo7mDd7PJyrQ6eFq42bmtWtHMz7ck+c3ZtKm0jLnDxRU95RAdynZVfIOKYJ9jWAZJpxauZLGVhXbMg1eqCNWarLSjJ6j2MDu022So735ZHe+VdU5b+PGyhTB2p9XhyCcWdRMPDFvBEV1rbz5ew5v/p7DZXH+5t/6ye4CpsX4WGx+e8KWU1XUyJU424tpU2uZEuXNgfw6CutayamWs/5oGfZi0TnTOwVB4IObxvLM/zJ48ZdM3t2Wg0yhMUerzsakzPXgt8eZGuPDQ3OGcaSogeVfHcHXxQE7iYBao2f+qACK69v48o6J5mvs4WSHm9QODyc7Shra+OdPGXx392RSiw0GfkpBQyfDA8DX5YzM/9kRKWskGo3iADdpJ+ljE6ND3VmbWsoPR8vYm1vLbw/PMIueFNW34SAR8c2KJIu/y2Xx/mw4VkabSsvyaZHsyanlt/RKHO3F+LpJmRrjQ1KkFwsTOivjdVTIfOSy4Z1eHxfmyekX5yMRCeYN44zXd1LS0Ma4MA+qZUpWHuX7Y/EAACAASURBVChm/qjOn20NU1ri/PgAnr0yzqzW2ZHx4Z78/MA0vj1cQkVTe5eGgr+rFJlC06261N7cWn5Jq+R4SRP/XBRnLkqOMP5uuVLD0jFh5g0qwLz4AEK9HHng2+MEe54mxNORyiaFuS7S3dGO6cN8+PJAIUuSQpF2+O7h/i4WnwXw10uHmw1Kk3NAEASrEQ6Au2dEsfZIqVGZz9JQsIZYJLA4MZiFCYHsyq5ldIi7RSPQnuAmteOXB6dz+Xt7+WxvIR/e3NlxUyWzTNEGQ52KQq2zSAPrKyMDXMmqlKHVGWS8q2UKQx+tLgrrfz9VzfGSJvbk1LJotOFa1sgV1LWorM6fXRk8w/xczAb0cxtPmWs/ne3FLEwI5NpxwWxMq+BkWRPO9hKe/p8h4vmfW8bz8JrjHC5qQK3VoVDreOyy4TzQA2eLn6uUj28db3HMQWIwvDU6PTqdnjWHSzlR2sTEiDN9ed7Ykk2dXMlDc4ZZvNfkVCuoa+WdbTmkFDSQHO3Ng7OHcffXqbywMZPPl03sdkzP/C+dVSkl2EtEXDc+lMfmdp4P+osoXxfeuXEMeTUt1Brrhffm1vH8xlNcNTaYdrWW1YdKqJYpeH/pOI4WN/Lm7zk4SMTcOiWcO1emUitX8t3dU8z3+ogAV1YuT2LZF4dZ8t8UlBodU6K8z6kyOjLADZ0eJkV68e8bE/E2zutn/306khztQ3F9CW5SCR/tymPJxFCrCpomauUKEkM9cHe0Y6eoxlzjfS5GGCO7O07XoNPD/rx6lk+NtLi/TGtTXk2LeexgaIcjFgn8Y1Gced7JrJChUOuQtWsoaWhDrzesS9uyakgtamBChBdHihrYdLKSyxN6pxzrJjXMjaYI1uf7Cghyl1LXqmLxh/tJDPXg09smmO/VPTm17MyuoayxnWXJEUw1Or90Oj2rDpXg6iBhUQc1V5FI4OmFsXg62/PGlmwSgt1Z3oUKpSmt3VqbndyaFj7ZXcBlcf78pUP2gA0DQ8XAKgc66keHGI/9KWlVGsLoLg4S4oPcCHCT8snufPPrt31xmKQIL9bdO8UgeX2ohNEh7sQYU+UEQeDGiWFMivTmxV8yz4tsdIC7I7UtSrNh1djHCFbHFMGNJytQaXXMjfNnm1Gqu6N89sH8Olylkk79a85m+jBfDj99qbnJX0ekdmJcpRJq5Uo0Wh1rU0uZMcy308ZPJBJ4/6axHMyvZ8fpGr46UIQgwKLRgWRXyXl0XRqbH55uMWmbKG1o40RpUyfJ6q8PFBPm5cSr1yRwoqyJ8WGe3PbFYWa9uQsARzsxS5JCe6RMFe7tzNfLk9iVXctLmzKJD3LvUh43ypjnfKiwgVMVMq4bH8L9q4/hZCemyjjJOkhEfHWgiJkjfJk53BdBEIjydSbG14WXrhqFo72Yn05U8Mz/Mnh7aw7F9W3cOS2S25IjCLViEAqCwLd3TiLSt2cyzyYDa268f5fnj+mQ897YquZv609iLxbh4WRHm0rL4/NGdDJ6b5gQyiZjVCEh2B1XBwlvbc3Bx8WBsWEe+Lg4sO6eKVa/75LhvjyzMJbFicFd9oU72+s7JcqbkoY2Lo3zR0Dgtc2nya2WM6ybukET5Y3tjA/37HbzAgaj4VYrPVc6YtrQNLWp8XezbmB9vDuf/Xn1ONqJubaDqI2Hkx2uUglyhYbJUZaNJcUigc9vn8iPx8spa2ynrLENmULDvA5Rx+eujGfhe3v52/qTZuXIGyeEsmhMZ0NzcpQ3S5PCGO7fM3luV6kdGx+cxuqUYmZY6RXXFRKxiEt7YOh3RYC7IXKyOqWEpjZVJ3n1qmaDw6a8g4G18mARrlJJvzi8Rga6sS+vjl/TK81Kc4mhHl3WkplU6HZlnzGwTEpj53JQdWSYnwvrj5VzukrGqpRirh8fwl8vG06QuxRBEMyZC9sya/gtoxJfFwfeXzoON6kdXyybiE5v6LFV1az8w8Xsptqa5nY1YpHAb+lVjA31QCIWodcb0uOvnxDKPWfVe/oZn90nN6QjEQm8dm0CN0wIRRAE7p0ZzRtbsjlW0mieP7U6PU/8cJIZw31YnBhMY6uKVSklLBodyHNXxltdV/qbq8daikx9uDOPN7Zk06LUYCcWeHJBLC9tymTppynMMF7XbVnVHCtpJK2sif/cPN48p5qYGOHFyuVJ3P7FYVpVWu6afm51uIUJgfi6OjAxwqtLZduzuX5CCDUyBQ/MjuHa/xzgg5155n5IZ6PW6qhrUeHn6sDtyRFcMty3x5FBk4HVMfjTMWUROhhYtS0WMvXp5c0M83OxyPgw9/eUK8g21na9dNUoln15hNe3ZLP27sk882MGgR5SnutGZbkrhvm5kFkh43hJI8dKmnj2ijhiA904UdrE21tz+Pe2HF6+OoHCulaWfXkYB4kYrU6PvViESqPjh6NlHCyop6FVxbLkiE7RJUEQuH9WDN+nlnKosP6cBlaVFQPLlK1z1/SoLoXE/swMFQPrCDBMEIRIDIbVEuCmwR3S4NFqjmCJEYkEFo4O5PN9hRbnHC9tRKZQc//qY5Q2tPH18qROnxPh43xOT1x/EeguRa/HLKvcVwntjimCPxwtIzbQjdumRPB7psEDa/JsgcFDNSnSu0cGSHeLoK+rA3UtKrafrqFapuTFxWFWz7MTi5gx3JcxoR58k1KMVqdnbJgn98+KYfGH+3nih5NWr/drm0/zy8lKJkV5cbpSzvasapYkhXG4qIGnLh9JcowPyUaP1Lp7pnAgv57x4Z4khnr0qm+RIAjMGunHrJF+6HT6Lg2Tjl7+FqWG6z8+SHO7mvX3JXPvqqO4Su1YtSKJiiYFIwNdzZ/zxe0TcXIQm43PpUlhfHekxNwwcW58QLdpEsld9AWxhreLA1/eMdHCiDqbkQGuLE0K5ZbJ4RzMr+elTVnYiQ3pLW/dMKZTLyuAGcN8eG/pWJztxVwy3Jei+jbe2ppDXYsSf7fuN0r2EhF3To/q8W8AmDXSj++PlnJZrD/eLg68sy2Hrw8W8+JVo8753orm9l4VTneHKVJb36Lq8m9U2awg2teZN68fY7GYCoJAuLcTGeUyJkV2jgIP93flb/NHdjpuItrXhScXxPLsz6fMDpiHLx1mtbYC4JVrEnr8u8CwEXr0HP2wBoLrxofw5f4ifjlZ2ampqMkbXG7s/VZU18rmjCpWTIvE2eGPL8sjA1xRa/Xm/mtgiJZZM7D0er1ZQXJXdi06nR6RSDAbXbGB5zb2TYwO8WDlwWKe2pCO1E7MU5fHWkQjPJzsifRx5ov9hThIRKy/L9kcVRUEAbFgSBuL6aZutre4O9oxIdyTL/YXsuZwCQkh7lw9NphWldZq9L9jPfLfF4zkxoln5vtlyRF8ub+QZ37MYMNfkpHaifl4dz7rj5VR2tDGFaODzE1Qb5kcfl6MK2ssS47gw515HCpsYFSwm7EuU8q9q46ZW0UcMqbV/2NRXJdO1gkRXny9YhIf7MjlcitR+7MRiQQmW+mf1R3jwjzN6+J140P45mAxy5IjCDWmHrertGRUNDMxwsucSeLvJsXL2b5XvQ59XRzwdLKjsU2Nj4sDGp2OiZGWDqEgd0cc7cQW9UZ6vZ4MK60TTPNkVbOC7CoZ9hIRsYFuPDwnhn/8dIrP9xWSXS3nhcXx5+xfZ42xYYZn6ZPdBbg6SLh+QiguDhImR3mzO7vW/My+vyMXe4mI3U/M5PmfMzlU2MDmU1V4Odszc4QvydE+XGHFWWUiMdSDA/n16PWWewKVRsdfVh+joK4VQYBqKymCNXLT32Nw7vMLnSFRg6XX6zXAA8AWIAtYp9fr+7fV+hDClCLoYlyITaFfX1cHQjwdsZeIDCo/nx5ib24d/7omoVeb14EgwDgZmdJHmtrUve7xoFBrqW9V4SqV0KbScrKsmevGh5AY5oFYJPDe9lzGPP87B/LqKG1oo6ShzapYQm/xcXGgVq5k9aESAtyk5+xR4+5oZ/YGxga4Ehvoxv0zY9h+usZcNGyiValhW5ahbm5vTh3/2ZXPyoPF/ON/GThIRJ0a/44J9eC+mdEkRXr1yrg6m65Shc5+zcleTHlTOy9dNYpRwe58d/dkVt4xEW8XBxJC3C0iMhE+zhaRPbFI4IXFBkNhXJhHr3LQe8KsEX7d1sZIxCJeuWY08UHuLJ8ayfRhBnWs4f4uVo0rOJNuNifWH4lYRIyfizlacnbUsj+YF+/PwSfnMMzfFS9ne64cE8SGY2XIu5H9V6i16HR6KpsU50x56ymmTXBXkWW1VkdJfRvz4gOsprDFBboxMsC1x+k6Z3Pr5HCmxfhworQJV6mEwD5+zoVEXKAbkT7ObDnVua7ujIFl6HXz5IZ0nOzEfe4hczamqNOOrBpcjetEV3L4VTIFDa0qEkM9qGtRmjduaaVNRHg79WpzaNrwHitpYsYwX6upXmONc+Nr1462aMUwkHx8y3jeWzqWJUmhFNW18tzPhu2Dteen4yZzaZKlM83ZQcKr14wms1LGu9tzyShv5p2tOThIRJwoa2LO27tZsTIVsUjo1vkz0Dg7SJgfbzCaRhkbn88fFcgwPxdUGp15Pb59SjjLu0gVNzE+3JMv70jqdapsX3jksuEIgkHS38QHO3O5/uODfLgzjxpjuwy/LjIEukMQBLOi8Ld3TWL9fcmdMgpEIoEYPxcLA6uyWUF9q6rTvRrQwcA6WFDPcH8XxCJDdlCYlxMvbTKo6/Y1Q2hcmCcqjY7Np6q4cWKoeb8HhmhcbrWc/NoW/ne8nFsmhePnKmV0iDt1LUq0Oj3/uXkcb99gELToLsqXGOpBjVzZqcYqvbyJbVnVTIvx4cYJociVmk7KmiZ13YFYGy8GhoSBBaDX63/V6/XD9Xp9tF6vf3mwxzOYtHaowQLDAxLm5URcoBvv3JjI6jsnIREJpJc389DsmE6b9MHAtPEyTVwanb7XMrimTYmp5kZi7Prt4mBIAzQp1aWXN5sVqc4udO0Lvq4OZFfL2Ztby40Te5aSN3ukHxKjOhtgTp3KrJSRVtrES78Y+vlsy6pGodYhEQn870S5WcEotbiRxYlBffJ89QdfL09i5fIk7pkRzf2zorneeA+FeDr1aqEdF+bJG9eN5umFsQM11B4hEgm8df0Yxod79rqJ6wJjTVRfFvVzIQiCheF525RwWlVas+hDRVM7723PNavwrTxQxMSXtpFSWI9Kq7NosvlHMEewuui7UtbYjkanN9fnnc3zV45i7d3WUyd7gkgk8Mb1o3GVSogNdBsyjSS7QxAE5sUHcDC/nuazak5Nc1llk4LVh0o4WFDPk5fH9tlAPZtIH2fsxSLa1VpGh7rj7mhHaRcGVka5waD6y8xoBAGzpHlaaXO38vTWCPJwJMIoDjNrpPWUzAfnDOPDm8aZBU7OB55G58WzV8Rz/YQQs8BMcBf1q4/PG8Gr1yRYjSZeGufPotGBrEop5uHvjuPj4sCLV41CpdGZMzR0er25bcRgsdh4feM7GAamtMmrxwWz5/FZPHtF/AX1rAW6O7JsagQ/nagwPyN7c+sMaqBbss2Gl18fIyZTor0ZGeDKcH/XbgV/TpSe6QNmErg428AyjeHDXXlklMu4fUoEYMhk+O9t43GVSpg1onM5QU8ZZxTdEgmGRrsdGe7vSqtKy5Mb0rGXiMxpribRGVeppFPKZ1eYHGa7zupvZ6pr//eNiUwy7l+qmhVkVsh4dO0JCutaqZEpcXWQDPq9fqEyVFIEbXSgValBEAzRBTAs5KtWTMJOIpgL3a8aG4yDRGS12H4wMHmkOy7yTW1qXLuIJFjDJJM6MsCNA/n1zBzhZ07BmBDhSbpxIpQp1GRVyvBxse9xrUZ3+Lo40NyuRiTAkqSeGat3To9kTqyf2YNr6k2TWSmjvLGd1YdKuGtGFD+fqCDQXcrkKG+zjHqIpyNlje3cZpywBwNTvcolvahb6YrrLwADHwzKUuvvSz73iWdx1dhgvthfSHzQwHvbR4d4kBjqwcqDRdw2JZybPk2hqL6NWSP8CPN24u2tOciVGu795ijQ9Qaxt5gjWF0YWIXGlgBd9SFxtBf/4UU20N2R7++dgn0PHBhDhfmjAvh4dz7PbzzFv65JMNdwmBpXa3R6XvwlkylR3izt4dzSE+yM0dfMShmRPs40t6stBDU6cqqiGUGAacN8GB3szq7sGm6YEEqVTNHjTVpHpkT7UFRf0mXfp0gf50HtZxMXeOY57ioCfP85CvZvT47gl5OVyBUaVq2YZO5bFugupbJZwT0zort9//lgeowPb98wxiKCMi/en4935zMmxN0sr3+hccXoID7ZXcCB/DpmjfAjvbyZB2bFUFzfxs/GXkx9NVoenjOMh2YP6/ac6yeEss7Yz29pUhgZ5c2IBDrVckvtxLg4SCiuN4gUXTvuTB3cyAA3jj5zGbpeZul0xN9NSpSvM3GBbuZ0SRMmZeTDhQ3cNT3SXPNrMgKnxfj0yBEMhmh3lI8zT/2YTkpBPcumRjAmxIPUogaifJ3xdjmjgPjypkz25Nah1enxdrGnRq7os7H7Z8BmYA1BWpRanO0lFp6nsyfLN68fc76H1S3ujnZI7UQo1GfkQBvbVJ0mju4wpU0lhnlgnyLilsln0jcmRniZJV7LG9vZn1/PlGiffvHO+bgYNp9zYv2tKrVZw0EiNvfKAsPvD/ZwJKtSTpVRCfFQYQN7cmtZlhzBsqmR5pTJZVMjSSmoP2/pMza6J9LHmZPPzj1vnt7bk8N5ZG0aaw6XUmTsHXSqoplfMyppblezZGKoWca8qzql3uLhaIcgdB3BKjC3BBjYjXHHZ+ZiYEyIOw/NjuG9HXlkV8v5z83jCfN2olpmSO8sb2pHEODVaxP6/f4aGehqNLBcqJOrzL30ziajXEaUjzNO9hJmjvDjvR255ub1vY1ggaHNwoxhPv2eEtxfmIwhqZ3onPL7XTEh3JOFCYGMDHA1i3EsTQozHB8deEE4CUQigWvGWYpfjA3z5JcHp51T+GkwiQt0w8PJjn25BkEdvd4gRPXwHMO9uCe31rwm9xZBEDjXYzYh3JORAa6sPFDEkomhpJc3E+PnYtWBZMrCeWB2TKe0+z+Swm/ix/um4mDX+XNMNYpSO5GFSIub1I6Xrx7F2NCeK5HaS0T88tA0Pt6Vzyd7Cvg5rQJPoxCUqXm4ad+zM7uWpUmh5FS3sCfHICJmSw/sGpuBNQRpVWpwdhhaIVlBMETXTCkU0HupdlOT4uH+LqQ/P9cir3jmCF/unBbJvrw69uXVU9eiZGovCmC7w7RRuGmSdXGLnhIb6EZWpcyc+vDBjlzUWj1Xjgkm2MORfy8Zaz63L55jGwPH+UyjuTwhkJd+yeLp/6WbnRLbsmrYl1fL4sQgXrkmAZVWx++nqs09qP4oErEId0e7biJYrbg72nUrn2yjM4Ig8OjcEYwJ9eCRtSdY9P5eXr9uNPWtKm6YEMIPR8t4fN5IC4n//iI2wA0oJ8rHmcqmdnbl1HQqZAeD8Z5kLPafNdKPd7fn8s62HJzsxX3aiAd5OPab4T8QhHs54WwvJsCobNgXBEHgw5vHWRzrrfjKYHGhO+5EIoGp0T7sz6ujqU2Fp5OhplkiFvHukkRDSv0AGrCCIHB7cgRPbkgntbiRjAoZ07tQtBwd4s7JsmZmDh+YVjfuTtYzfNwd7Zgc5cW0GJ9OQio3T+peMdYaTvYSHp07wtCaJLeOXdk1HCtuZKGxvj/C24m/zR/J+HBPkiK9+O+efP7162nsxSIW9FKC/s+EzcAagrSoNP2iNHW+8XdzoLCuFS9nexpaVb2Wam8xGliuUrtORZtO9hKeWRTHY+vSWH+sDOif+iswbHid7CXM/IPpcvFBbmZBC4Cc6hYifZwZFXzhehNtnH8cJGKWJoXxwc48nl4Yx6aTFWzLqsZOLPDYZSMQBIG3bzA0w7XW7LOveDnbmwUPzvbslze1E+p14W6aL3TmxPqz6aHp3LvqKPeuOgYY6hOfmD9ywJTmZo305ZeTFYwJ9aC4vhWFWkd9q8ri++pbDMXtpr5+o4Pd8Xa2p1qmZGFCoIUs9cWCSenORTr01tA/CwsSAtiUXkmVTMFDs2PM0SBBEM5Lvc/ixCBe+TWLN7ZkUytXdtlr8bu7J6M1qm6eb777AzWvXeHhZKhVPLuvoCAI3DfzTKRs5gg//vXraVRa3YDUJl8sDH4c20avaVVqLBRlhgqmMLMp7725Xc2X+wuplSu7e5sZmTFF0LWbhdFUkxLi6dhvOebODhIWjg78w1GMa8adKeo2KXtdMSbogioytnFh8MDsGL68YyK3TAozL+43JYVZ3NP9aVwBeDnZszWzmnEvbu30WkVTO0E9TI+1YZ1QLyfW35fMPxbFcfeMKC6L8x9QGe8YP1d+emAaXs725vumYwYBYK5bNSnNiUSCue5ybnzf+4Bd6PznlvEXXBq9jTMsTAjkjqkReDrZcesg1CI72Uu4YUIoh41S9l0ZWE72kl7VkV8sDPd3JcnYtPtidML0FzYDawgia1d3a2RcqJgUskz50yX1bTy/MZMfj5f16P2mFEFn+65/e4jReEvup/TA/iTc29lsXM41Suie7SmyYQMMi9asEX4IgsCcWH9iA9144BzF2X+Ujl5YhVpr/rder6e8sf2CTvsaKkjtxKyYFslTl8dabTo+UAwz1mx0lJ/W6vT8e1suHk52jO6QknzdhBASgt17rbY5lLCXiPrdQWGj/xAEgWeviCflqTldNm0faG6ZHI4ggCD0rtn2n4VXr00gwE3aqwbufzaG3i79T45erye/ttWcGzuUMCkJmjYWTcZmwxVNnRvYWUOuMETuuusQb/LUTh3kvl9dsfHBaZwsayLSx5mJEZ7mzvE2bHTF5Chvfnt4+oB/T1WHPihVzQoijIIWMoWGVpW233pu2Tj/BHs4IrUTkVt9xsBafaiYE6VNvLsk0SIjIjnah40PThuMYdqwYUF3/ZsGmggfZy6L9adKphiSJRkDTZSvCylPzRnsYVzQ2O6aIUatXElzu5rhQ3BjbmrM5+Foh1gk0Gw2sKzLB5+NXHHuyF1ShBfvLR3L5X1s7jfQGLqrGzzDA1HYbsNGX3nnxkTe2ZrDvrw6qmRnDCzT82mLYA1dTA1Uc2vkgCHN/L3teUyO8rJF0W3Y6IL3lo5FrdWd+0QbNqxgi5EPMbKrDQvk8ADXQR5J7zGlCLpIJThIRGcMrOaeGliacxpYIpHAlWOCBlRlyIaNi5Hx4Z48d2UccKYRLpwxsAL7qamxjcFhmJ8reTUt7Dxdw6L391HXouTxeSNtNaA2bHSB1E78p6yxstE/2HahQwStTm9sWJkJGIoMhxomD7iHox0OEhGy3qYIKnvXmNiGDRu9I8AoZNExXdBkYNlSBIc2MX4uVDYruOOrIwgCfLMiifHhPe+XY8OGDRs2eo4tRXAIUN+i5KHvjrM/r958bCDVpwYKHxcHVq2YxJhQdz7ZU2COYDW0qlCotedUo5ErNH1uDGnDho1z4+IgwcVBQlWHCFZ+bSt2YgHfITjn2DjDjGG+rDlcwm1TwlmWHNkvjVBt2LBhw4Z1bDPsBU56WTOL3t/HkaJGXlwcDzCkvY7ThvkY+1idiWBBz+qwDCmCtgiWDRsDib+bA9UyBW0qDc/8L52vDhQxKdJ7UHq92Og/EkLc2fe32dw9I9pmXNmwYcPGAGOLYF3gvLgpE61Oz4b7khkV7M7iscFcDNscB4mYVtUZKejKZgVRvt0Ld5hUBG3YsDFwBLhLSS9vZuF7+yiqb+XOaZH837wRgz0sGzZs2LBhY8hg261e4OTXtDA33p9RxkZ3bhdJBEdqZ+lBLe9RBEuN2xDs/2XDxlDC303K/rx6gj0c+fbOyUy5AHvK2bBhw4YNGxcytt3qBUxzm5r6VhWRPhefnPfZ/S0qzyF0odLoUGp0Q7LBsg0bQ4mbJ4UT7OHI3TOibCm5NmzYsGHDRh+w7VYvYPLrDE0ho3yGXs+rc+HQIYIltROdswZLrjDUa9k2fDZsDCzjwz2HdJ2nDRs2bNiwMdjYKl0vYAprWwGI8r24I1gR3s5UNLej0uh4ZO0JCmpbOp0vV2gAbBEsGzZs2LBhw4YNGxc0NgPrAqagrgWJSCDUy2mwh9LvdIxgRXg7U9HUTklDGz8eL2d/Xl2n81uUBgPLJnJhw4YNGzZs2LBh40LmDxlYgiBcLwjCKUEQdIIgTDjrtScFQcgTBCFbEIR5HY7PNx7LEwTh7x2ORwqCcMh4fK0gCPbG4w7G/+cZX4/4I2MeShTUthLm5YSd+OKzgx2MMsEOEhHBno5UNCloalMBIDcaUx2xGVg2bNiwYcOGDRs2hgJ/dOeeAVwD7Ol4UBCEOGAJEA/MBz4SBEEsCIIY+BBYAMQBS43nArwGvKPX62OARmCF8fgKoNF4/B3jeRc1aaVN7Mut42BBPYmhHoM9nAHB1FTYQSIi0F1Ku1pLUX0bAP/f3p2H2VHVaRz/vumsJCEJQgIkLBJCgLBqjM4IEhAQFMQFVFBAxxHFARV0BnWURXHckAcVUGAQEbfBDVCRRUVEEAEVUEAgGpUAshghi6Qh3b/545zbuWmSdNJ9+1Tfyvt5nn46t6puP6ffnK5bp85SS5Y9u4H1z6fTtrFuYJmZmZnZEDagq9WIuAdAetaTmQ4BvhkRncB8SfOAOXnfvIj4U37fN4FDJN0D7AMckY+5GDgV+EL+Wafm7d8GzpakiIiBlH0oe++37uCPjy0hAl6206ZVF2dQNHqwRo/oYOrEMQDc/dAiYEVvVbMlnemZWWNHdTxrn5mZmZnZUDFYY8+mAg80vV6Qt61u+3OAJyJiea/tK/2svP/JfHwt3f/IYuY9mhpXY0Z0sNd2m1RdpEHRWORi1IhhbN5oYD38JLDqHqylne7BMjMzM7Ohr8+rVUk/BlbVjfLfEXF564vU/r2XAwAAE/tJREFUf5KOAY4B2HLLLSsuTf9c+bu/IcHbXzKdCWNG9Aylq5vGg4ZHD+9gs4mjgRU9WIvcwDIzMzOzNtXn1WpE7NuPn/sgsEXT62l5G6vZ/ndgoqThuZeq+fjGz1ogaTgwIR+/qrKeD5wPMHv27LYbQvj08m4uve0B5my9Ee8/cPuqizOomnuwNh47ipEdw3oaVks6n3nW8Y1hg2NHuoFlZmZmZkPXYA0RvAJ4Q14B8LnADOAW4FZgRl4xcCRpIYwr8nyq64BD8/uPBi5v+llH538fCvy0rvOvvvubBTz4xFMcO3d61UUZdD1zsIZ3MGyY2HTC6J59q5qDtbRzOWNGdNAx7Fnz/czMzMzMhoyBLtP+akkLgH8BfijpaoCIuAu4FLgbuAr4j4joyr1TxwFXA/cAl+ZjAU4CTswLYjwHuDBvvxB4Tt5+ItCztHudPNPVzTk/m8eu0ybUdt5Vs55VBPNQwc0nNjWwVjFEcElnl4cHmpmZmdmQN9BVBL8HfG81+z4GfGwV268ErlzF9j+xYqXB5u3LgMMGUs52cNlvH+SBhU9x6sGzVrUqY+0092ABPQtdwOp7sMZ5BUEzMzMzG+Lq9wTbNrS8q5tzrpvHrM03ZJ/tJ1ddnCIaPVc9PVgTVjSwFq/mOVgbeP6VmZmZmQ1xbmANAd+/8yH+/Pd/cvw+M9aL3itY0XO1qh6szuXd/G7Bk5xz3TwWLn0aSL1a4zxE0MzMzMyGOF+xVmxJ53I+fdW97LDZhuy/45Sqi1NM7x6sxlLtG40dycKlT3Pw2b8AYNFTz/CBl+/A0s4uNh43sprCmpmZmZmtJfdgVai7Ozjl8rt4eNEyTn/VTgxbj1bI61nkIvdgTc09WNMmrejJ2mKjMXzr1wvoXN7F0s7lXuTCzMzMzIY8N7Aq8tTTXZxw6e185zcLOH6fGTx/q0lVF6moxiIXjR6s6ZuM49i503n17lN7jvnvl+/IwqVPc+3dj3iIoJmZmZm1BTewCljauZzlXd09r7u6g2MuuY0r7niI/zpgJifsO6PC0lVjVK85WB3DxEkHbM/MKeN7jtlvxylMnTiGb9zyV/dgmZmZmVlb8BVrAZ+86g/cOO9xDt51cx5f0sl9jyzhlvkL+Z9X78wRL9yy6uJVYnSvOVgN40anKjlu1HA6hok3vGALPnPtfQBuYJmZmZnZkOcerAL22HZjAM768f384M6HWfTUM7xrn205fM4WFZesOr17sBpGdKQqueNmGwJw2Owt6Mhz08aO9HOwzMzMzGxoc5dAAfvP2pT9dpxC5/LunsUd1nfPGTeSvWduwuytV557NnPKeI7fZ1uOfNFWAGw6YTT7bD+Za+9+xD1YZmZmZjbkuQerEEluXDUZ0TGMi94yh12mTVxp+7Bh4r37z2TyhqN7th0xJw2jnLjBiKJlNDMzMzNbV+4SsCFv7sxNOO/I57PXdptUXRQzMzMzszVyA8uGPEm8bNamVRfDzMzMzKxPHiJoZmZmZmbWIoqIqsswKCQ9Bvyl6nJkGwOPV12I9YSzLsM5l+Osy3Leg88Zl+Osy3HW5QylrLeKiGfNYaltA2sokXRbRMyuuhzrA2ddhnMux1mX5bwHnzMux1mX46zLaYesPUTQzMzMzMysRdzAMjMzMzMzaxE3sMo4v+oCrEecdRnOuRxnXZbzHnzOuBxnXY6zLmfIZ+05WGZmZmZmZi3iHiwzMzMzM7MWcQPLzMzMzMysRdzAsrYiSVWXwazVXK+tblynrY5cr21tuYHVQpKc5+AbByCpo+qC1J2kV0qaXnU51hM99dkf4FYTEwEkDa+6IHUm6QhJu+Z/+9wx+EY3/uG8bU3cIBigfBF6YtXlqDMlkyX9DPhfgIjoqrZU9SVpX0m/BC4ENqu6PHUm6RWSfgycKeklAOGVhwaFpFdJ+mjV5ag7SRMkXQ1cBRARyysuUi3l8/QNwFnA7uBzx2CStL+km4CzJb0RnPdgqcu52g2sfpI0XNJJwOeAMyTtFhHd7llpvXwSW5a/dpF0ILjHsJVyI3acpO8DH8pfNwNb5f3OusUkbQ18DPg8cA9wjKR/z/ucdwvket2Rcz0DeL+kPasuV809BTwB7CTpMPCIg1bJ9XmMpEtJ5+jTgW8DG+T9znkQSNoE+AjwKeBrwOslfSDv87m6Bep4rnbF6Kd8V+5eYHvgROC8vN09Ky2WT2DTgNuB9wMnA0REd5XlqpNIlgBfjYi5EfET4GrgkLzfWbfedOAXEXE5cBGpd/Z4SZPyzRoPPxmgXK+7gHmku/zvBNr+zuhQlS/wJ5FuzryedPOAiOhyfR64XJ+fAr6Wz9NXAzcBR+b9vv5osVxvpwB3RMRlEfFT0nXIf0ra2Ofq1qjjudoNrHUg6V2SPiHpdXnTDyNiWUScBUyWdEQ+bkR1pWx/TTm/Fnou7h8CtgNuBB6W9A5JM6osZx00ZX0YQET8X94+DPgH8ICkUVWWsS4kHSrphU2bFgCvlTQqn0d+RrpYOrmSAtZIrtcXNHoEgesjYnFEXACMlfTWfJw/AwegKed/k6R8gbQIeEVE/AC4U9LJknaKiPCFaP805fw2gHxTptGgnQ/cJWmLKstYJ5KOlrQf9IygWQL8q6SN8ra7gUvJNxCs/+p8rm67Alchd12eQLojdxtwmqQ3k+7UNZwIfBogIp4pXsgaWEXOp0t6cz6pbUu6g/Q46SL0M8CZ+X2eRL2OVpH1R3LWm0BPo3Y+6UKps8Kitj2l+YPXk4YTf6DxQRER9wLXAp/Mxwn4IrCFpCke398/+dx8BPAd4Mg8lGebpkNOBk5s9BRWUMRa6JXz0aS6PR0YT+rBAvgmKe8v59c+V6+jXjm/SdIHJW0DPT1Wi4BdScMybQAkTZL0beATwGcaQy4j4s/Ab4HPNh3+AWAbSc/1ubp/6n6udgNrLeQ/nr2BD0XEt4ETgF2AlzUd8z3gPknvgzQBtYqytrPV5LwbsB/wN2BPSVcCbyH1ZP0pv9XDItbRarLeFTig6ZibgAWSXllNKeshIh4FLidl+zDw9qbdpwEHSZrVNNdwMemOqfXPS4FPRsRVwHtJq369sbEzIn7Eijlv4xu9t7bOeuc8CjiMNAfrQEnXAO8Cfgr8Jb/HC16su945jwTe1NgZEb8jnTfeUE3x6iMi/gFcA+wA/JqVRxMcBxwg6QX59VLgDuDpooWsl1qfq93A6kNTt+RtwJ4AuTLcD8ySNLPp8GOBT0n6GzC1aEHb3Bpyvpd04b87aUjVrRExi/RhMlfSVN89WjdryPo+Up3ePh+3IfAHwD2y/dSU9eeBu0kf3q+QtBlARPyRtFrjuZL2IF04TQba7m5d1Zqy/i1wEEBE3Ab8Epgq6cVNh58EfJx0Ht+0ZDnbXR85bwPsQeqZvSUidouI/Unnat/pXwdryPlmUn3eIx8n0nzZ0R6C2X9N2X0lIp4AzgVeI2krgIhYRLoh9mFJR5MWGZmFb4ats/XlXO0GVi+NLuHGH1tTt+Q8YLyknfPr64EJpOEQSNoNuIDU1fm8iLi4ZLnbzTrk/HNSxo8C74iIU/LxC4EXR8SDRQvehvpRp8fl4xaRFheZUrTAbWx1WUfEM3lhnJtIjdZ3N94TER8nNbLeCswE3ponslsfmsflN9XrG4FhysveA78n9Rxunt+zLeni6TLSudrzKPqwljnfRboJNh44OSI+1PQjtoyI+UUK28bWoT4/RH6ERm60TgaWugG7bnrlHfn7svz9VuBHpJVeG8ecTVoW//mkFXYPi4gnS5a5HfVu+K8v52o3sDJJL5Z0MfAhSRs1/ti0YsGKW0jDG/aXNDxPcpwKzM77/w68MyIOi4iHSpe/XfQj57tIJ7LdI2KZ0jKejYtX3zlagxbUaYA3RMSXS5a7Ha0h645eHy6PA1cA20maludnTYqIrwBvj4jXRcTfKvgV2oakOZLeBSuvbtl0sXQ/6WL/9ZI6ImIB6SbB1nn/k8BxEfEan6tXrx85P0C6MNoqIp7Odb8x33Bp4eK3jX7W501ZUZ8B3hcRXypU5La2hrylZy+kcDawraRZkqZI2jbSKoInRMTRPn+sWc76AuAk5fndeXvjcQK1Ple7gQUoTRg9F7iOdDH/UUkvhxULVkTEPNKQqumkJToBOsljyyPigTwW2lZjgDn/Oe/v8l26vrUi63zMsnKlbk99ZN0VESFplNJqgV0R8XPSh8rvSb2GG+djPZa/D5LeA3yP1JBtPA+vMRG9cbG0GLiBNCfojHxDYRLpJhgR8VhE3F+67O1kADlPZEXOXdGGE9NLakV9zsf63LEW+sg7Ii25PkZSYxTHX/PxvyOdqzfM2z3vew3yzZWPA+eTeqmeB5wiaQqslF+tz9VuYCVzgHvynfr3kZ63dLDyPAlJp0u6kDTp8XPAHEm/BhaSxj7b2hlIztdUU+S25azL6Svrj5CecdV4/Q7SQhfnAbu08wdIBeaTxuwfS74p0HyxI+k04OukO58fJn1Y35Bfe9j22nPOZTjnsvrK+xTSg4S3ya8PJz2P6Qxg54j4TekCt7EHgdflz8UTgBcBYxo714e6rfWxM0DSwaQ7zbdFxM35DvQlwOER8VdJOwJHAY8At5L+wE7Od/zJdzeG54mQthrOuRxnXU4Lst4X+HPjta3eKrJuDC0ZAXwXuCoiPpeH9swiLZ384UiLhzSGWY2NiMUVFL9tOOcynHNZLcj7RcAj4fmDfWrK+lcRcWseKr8wj9zolHQZcHpE3CZpF1IDt9Z1e71qYOU7yueThjFcQ1p//z0RcbWkM4CHI6Lx7IMjSHcxzoo8iVHSMA956JtzLsdZl9OCrDs8tGTt9JG18rDLl5KehffSSM/Ha36/6/VacM5lOOeyWpC3z9VraTVZvzsirmk6ZjzwC+DA3nOp6ly317chgrOBGyJiz4j4KOmhccfkfTcAO0t6Yf7DehB4iS9E+8U5l+Osyxlo1v7AXnu9sz4LeAesWO2LNOftZuB4SBOq83e5Xq8151yGcy5roHn7XL32VpX1O3sdMwe4KyIekjRO0gyof92ufQNL0lGS5koaBfyENJSn4e+kZ/8A/Iq0Jv+ZebjULOAvkjaAlVebsWdzzuU463KcdTl9ZL2Q9MDJntXVcqank1aoehJ4XuPudOGitxXnXIZzLst5l7MWWd+dj2usWDwJeEDSW0jD5neDlRq7tTS86gIMBkkiLWP6ddIDO/8IvI3UbfmwpBGRVlLbjPQfT6SlkT+r9FC5L5HGkh4VEf+s4ndoB865HGddjrMup59Zd+f3TQcuIq1S9Z7wKq6r5ZzLcM5lOe9y+pn1M/nthwBvJC1e8fqIuLN0+SsREbX6Ajry9+2Arza2AZ8HvtvrmO8D++Z/T87fhwPjq/49hvqXc3bWdfxy1m2R9UaNzIG9q/49hvqXc3bOdfxy3m2R9cb5++HAoVX/HqW/atODpTSx/KNAh6QrSc8r6IK0DKekdwMPSdorIq6XNBJ4DLhP0seAgyTNjYh/kNbmt1VwzuU463KcdTktynrviHgUeLSiX2PIc85lOOeynHc5Lcr6JRHxjap+hyrVYg6WpL1Iz/OZBMwjVYhngL2VJy5GGm97KnBaftto4M2k8aPjSS3ufxQteJtxzuU463KcdTktzHph0YK3GedchnMuy3mX08Ksnyxa8CGkLj1Y3cBnIuISAEm7A88FTga+ADxfaWLjZcA+kqYBmwNfBc6MiNurKXbbcc7lOOtynHU5zroM51yGcy7LeZfjrAeoFj1YpFb2pVrxELkbgS0jPUG6Q9LxuaU9DeiOiAURcUtEHOVKsE6ccznOuhxnXY6zLsM5l+Gcy3Le5TjrAapFAysi/hkRnbHi2QX7kcaBArwF2EHSD4BvkCpNY0UUWwfOuRxnXY6zLsdZl+Gcy3DOZTnvcpz1wNVliCDQMyEvgCnAFXnzYuCDwE7A/Ih4EOq//v5gcs7lOOtynHU5zroM51yGcy7LeZfjrPuvFj1YTbqBEcDjwC65df1hUvflLxqVwAbMOZfjrMtx1uU46zKccxnOuSznXY6z7ifVrcEp6UXATfnrooi4sOIi1ZJzLsdZl+Osy3HWZTjnMpxzWc67HGfdP3VsYE0DjiStYtJZdXnqyjmX46zLcdblOOsynHMZzrks512Os+6f2jWwzMzMzMzMqlK3OVhmZmZmZmaVcQPLzMzMzMysRdzAMjMzMzMzaxE3sMzMzMzMzFrEDSwzMzMzM7MWcQPLzMxqS1KXpNsl3SXpDknvlbTGzz5JW0s6olQZzcysXtzAMjOzOnsqInaLiFnAfsCBwCl9vGdrwA0sMzPrFz8Hy8zMakvSkogY1/R6G+BWYGNgK+ASYGzefVxE3CTpZmAHYD5wMfA54BPAXGAUcE5EnFfslzAzs7biBpaZmdVW7wZW3vYEMBNYDHRHxDJJM4BvRMRsSXOB90XEQfn4Y4DJEXG6pFHAjcBhETG/6C9jZmZtYXjVBTAzM6vICOBsSbsBXcB2qzluf2AXSYfm1xOAGaQeLjMzs5W4gWVmZuuNPESwC3iUNBfrEWBX0pzkZat7G3B8RFxdpJBmZtbWvMiFmZmtFyRtAnwRODvS+PgJwMMR0Q0cCXTkQxcD45veejVwrKQR+edsJ2ksZmZmq+AeLDMzq7Mxkm4nDQdcTlrU4sy871zgO5KOAq4ClubtdwJdku4Avgx8lrSy4G8kCXgMeFWpX8DMzNqLF7kwMzMzMzNrEQ8RNDMzMzMzaxE3sMzMzMzMzFrEDSwzMzMzM7MWcQPLzMzMzMysRdzAMjMzMzMzaxE3sMzMzMzMzFrEDSwzMzMzM7MW+X+tgOGI8ljEjwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 864x576 with 4 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "CALCULO DE MÉDIA MÓVEL"
      ],
      "metadata": {
        "id": "x7ZFBQdSmDPg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df['Close'].rolling(7).mean() #o método rolling faz a média móvelna janela de tempo determinada"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o0Z-zek4mHX4",
        "outputId": "9f9d9403-f8e4-4dd7-9f23-eb16d72a062e"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date\n",
              "2020-01-02              NaN\n",
              "2020-01-03              NaN\n",
              "2020-01-06              NaN\n",
              "2020-01-07              NaN\n",
              "2020-01-08              NaN\n",
              "                  ...      \n",
              "2021-12-23    106231.428571\n",
              "2021-12-27    105960.000000\n",
              "2021-12-28    105481.714286\n",
              "2021-12-29    105022.428571\n",
              "2021-12-30    104994.142857\n",
              "Name: Close, Length: 495, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "media_movel9d = df['Close'].rolling(9).mean()\n",
        "media_movel20d = df['Close'].rolling(20).mean()\n",
        "media_movel50d = df['Close'].rolling(50).mean()"
      ],
      "metadata": {
        "id": "2z7Hdog6mJyz"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(12,5))\n",
        "plt.plot(media_movel9d, 'orange')\n",
        "plt.plot(media_movel20d, 'red')\n",
        "plt.plot(media_movel50d, 'black')\n",
        "plt.plot(df['Close'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "5zfuxVSqmMDO",
        "outputId": "f7a7d5a2-71c4-4040-d269-4f77f5a8019b"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f1437b14990>]"
            ]
          },
          "metadata": {},
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "EXTRAÇÃO DE FEATURES"
      ],
      "metadata": {
        "id": "jjEVGIkimOwn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "kkPd9ElvmSi_",
        "outputId": "861c22dc-d4a8-4cd5-a218-9926a432ad6c"
      },
      "execution_count": 19,
      "outputs": [
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              "          const element = document.querySelector('#df-787f69e7-f499-4f00-9b4c-db2d291d7241');\n",
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              "            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",
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              "                Open      High       Low  ...   Volume  Dividends  Stock Splits\n",
              "Date                                      ...                                  \n",
              "2020-01-02  115652.0  118573.0  115649.0  ...  5162700          0             0\n",
              "2020-01-03  118564.0  118792.0  117341.0  ...  6834500          0             0\n",
              "2020-01-06  117707.0  117707.0  116269.0  ...  6570000          0             0\n",
              "2020-01-07  116872.0  117076.0  115965.0  ...  4854100          0             0\n",
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              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 19
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    },
    {
      "cell_type": "code",
      "source": [
        "df.reset_index(inplace=True)"
      ],
      "metadata": {
        "id": "-Z575rqtmUtN"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "ixnz8E8QmXu2",
        "outputId": "9c19db0a-09b7-4c73-abb8-bbf4bab9381c"
      },
      "execution_count": 21,
      "outputs": [
        {
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              "\n",
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              "      background-color: #3B4455;\n",
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              "\n",
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              "      background-color: #434B5C;\n",
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              "                                                     [key], {});\n",
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              "\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",
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              "  "
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              "        Date      Open      High  ...   Volume  Dividends  Stock Splits\n",
              "0 2020-01-02  115652.0  118573.0  ...  5162700          0             0\n",
              "1 2020-01-03  118564.0  118792.0  ...  6834500          0             0\n",
              "2 2020-01-06  117707.0  117707.0  ...  6570000          0             0\n",
              "3 2020-01-07  116872.0  117076.0  ...  4854100          0             0\n",
              "4 2020-01-08  116667.0  117335.0  ...  5910500          0             0\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Criar features para cada período\n",
        "df['year'] = df['Date'].dt.year\n",
        "df['month'] = df['Date'].dt.month\n",
        "df['day'] = df['Date'].dt.day"
      ],
      "metadata": {
        "id": "AmvVNBohmb5s"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "KWCfElbkmeof",
        "outputId": "0b6a73ef-8f2d-49b9-bd78-255f12ff9425"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
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              "      <td>116662.0</td>\n",
              "      <td>4854100</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2020-01-08</td>\n",
              "      <td>116667.0</td>\n",
              "      <td>117335.0</td>\n",
              "      <td>115693.0</td>\n",
              "      <td>116247.0</td>\n",
              "      <td>5910500</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-285b2a80-0c39-423e-ab7a-4dfa507a7ce7')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\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",
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              "\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",
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              "\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-285b2a80-0c39-423e-ab7a-4dfa507a7ce7');\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",
              "  "
            ],
            "text/plain": [
              "        Date      Open      High       Low  ...  Stock Splits  year  month  day\n",
              "0 2020-01-02  115652.0  118573.0  115649.0  ...             0  2020      1    2\n",
              "1 2020-01-03  118564.0  118792.0  117341.0  ...             0  2020      1    3\n",
              "2 2020-01-06  117707.0  117707.0  116269.0  ...             0  2020      1    6\n",
              "3 2020-01-07  116872.0  117076.0  115965.0  ...             0  2020      1    7\n",
              "4 2020-01-08  116667.0  117335.0  115693.0  ...             0  2020      1    8\n",
              "\n",
              "[5 rows x 11 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Rentabilidade é preçoatual/preço anterior * 100 - 100\n",
        "df[['Close']]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "j63yb7YommqM",
        "outputId": "1c70d75b-11bf-4d70-85c4-84e2cd3cc581"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Close</th>\n",
              "    </tr>\n",
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              "  <tbody>\n",
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              "      <th>0</th>\n",
              "      <td>118573.0</td>\n",
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              "      <td>116878.0</td>\n",
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              "      <th>3</th>\n",
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              "      <td>105531.0</td>\n",
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              "      <th>492</th>\n",
              "      <td>104864.0</td>\n",
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              "    <tr>\n",
              "      <th>493</th>\n",
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              "      <th>494</th>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>495 rows × 1 columns</p>\n",
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              "              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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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
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              "    .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",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
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              "\n",
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              "      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-ae10e05a-046c-4677-a3aa-a1785264ab46 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-ae10e05a-046c-4677-a3aa-a1785264ab46');\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",
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              "          element.appendChild(docLink);\n",
              "        }\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "        Close\n",
              "0    118573.0\n",
              "1    117707.0\n",
              "2    116878.0\n",
              "3    116662.0\n",
              "4    116247.0\n",
              "..        ...\n",
              "490  104891.0\n",
              "491  105531.0\n",
              "492  104864.0\n",
              "493  104107.0\n",
              "494  104822.0\n",
              "\n",
              "[495 rows x 1 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "InG1mCYzm6nF",
        "outputId": "6ac428a9-446f-46a3-8320-fcb8ff25560f"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-0a83a081-0c89-4683-9de5-fb9324c73a6b\">\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>Date</th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Volume</th>\n",
              "      <th>Dividends</th>\n",
              "      <th>Stock Splits</th>\n",
              "      <th>year</th>\n",
              "      <th>month</th>\n",
              "      <th>day</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2020-01-02</td>\n",
              "      <td>115652.0</td>\n",
              "      <td>118573.0</td>\n",
              "      <td>115649.0</td>\n",
              "      <td>118573.0</td>\n",
              "      <td>5162700</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2020-01-03</td>\n",
              "      <td>118564.0</td>\n",
              "      <td>118792.0</td>\n",
              "      <td>117341.0</td>\n",
              "      <td>117707.0</td>\n",
              "      <td>6834500</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2020-01-06</td>\n",
              "      <td>117707.0</td>\n",
              "      <td>117707.0</td>\n",
              "      <td>116269.0</td>\n",
              "      <td>116878.0</td>\n",
              "      <td>6570000</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2020-01-07</td>\n",
              "      <td>116872.0</td>\n",
              "      <td>117076.0</td>\n",
              "      <td>115965.0</td>\n",
              "      <td>116662.0</td>\n",
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              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2020-01-08</td>\n",
              "      <td>116667.0</td>\n",
              "      <td>117335.0</td>\n",
              "      <td>115693.0</td>\n",
              "      <td>116247.0</td>\n",
              "      <td>5910500</td>\n",
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              "      <td>8</td>\n",
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              "</table>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      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",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
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              "            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",
              "  "
            ],
            "text/plain": [
              "        Date      Open      High       Low  ...  Stock Splits  year  month  day\n",
              "0 2020-01-02  115652.0  118573.0  115649.0  ...             0  2020      1    2\n",
              "1 2020-01-03  118564.0  118792.0  117341.0  ...             0  2020      1    3\n",
              "2 2020-01-06  117707.0  117707.0  116269.0  ...             0  2020      1    6\n",
              "3 2020-01-07  116872.0  117076.0  115965.0  ...             0  2020      1    7\n",
              "4 2020-01-08  116667.0  117335.0  115693.0  ...             0  2020      1    8\n",
              "\n",
              "[5 rows x 11 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Close'].shift()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i89VY4jYnKH7",
        "outputId": "1e0a9656-96c2-4eeb-d0cc-91087b51ed74"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0           NaN\n",
              "1      118573.0\n",
              "2      117707.0\n",
              "3      116878.0\n",
              "4      116662.0\n",
              "         ...   \n",
              "490    105244.0\n",
              "491    104891.0\n",
              "492    105531.0\n",
              "493    104864.0\n",
              "494    104107.0\n",
              "Name: Close, Length: 495, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Rentabilidade'] = df['Close'] / df['Close'].shift() * 100 - 100"
      ],
      "metadata": {
        "id": "bYYiY2x_nfzB"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "buU3I5EZntMf",
        "outputId": "18bfacf5-feaa-4e13-fa2f-56b6d1a42320"
      },
      "execution_count": 28,
      "outputs": [
        {
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          "data": {
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              "      <td>117707.0</td>\n",
              "      <td>117707.0</td>\n",
              "      <td>116269.0</td>\n",
              "      <td>116878.0</td>\n",
              "      <td>6570000</td>\n",
              "      <td>0</td>\n",
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              "      <td>6</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2020-01-07</td>\n",
              "      <td>116872.0</td>\n",
              "      <td>117076.0</td>\n",
              "      <td>115965.0</td>\n",
              "      <td>116662.0</td>\n",
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              "      <td>-0.184808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2020-01-08</td>\n",
              "      <td>116667.0</td>\n",
              "      <td>117335.0</td>\n",
              "      <td>115693.0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>8</td>\n",
              "      <td>-0.355729</td>\n",
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              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
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              "          const element = document.querySelector('#df-7f66e424-3cab-4f82-80fd-db8dda506d7e');\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",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "        Date      Open      High       Low  ...  year  month  day  Rentabilidade\n",
              "0 2020-01-02  115652.0  118573.0  115649.0  ...  2020      1    2            NaN\n",
              "1 2020-01-03  118564.0  118792.0  117341.0  ...  2020      1    3      -0.730352\n",
              "2 2020-01-06  117707.0  117707.0  116269.0  ...  2020      1    6      -0.704291\n",
              "3 2020-01-07  116872.0  117076.0  115965.0  ...  2020      1    7      -0.184808\n",
              "4 2020-01-08  116667.0  117335.0  115693.0  ...  2020      1    8      -0.355729\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def features_extraction(df_):\n",
        "  # Criar features para cada período\n",
        "  df_['year'] = df_['Date'].dt.year\n",
        "  df_['month'] = df_['Date'].dt.month\n",
        "  df_['day'] = df_['Date'].dt.day\n",
        "  df_['Rentabilidade'] = df_['Close'] / df_['Close'].shift() *100 - 100"
      ],
      "metadata": {
        "id": "eGMwcDign0tg"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.reset_index(inplace=True)"
      ],
      "metadata": {
        "id": "u6bJzSD4ofj5"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "features_extraction(df)"
      ],
      "metadata": {
        "id": "nLOXh_Z6orHd"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "fGfIqxYco2uz",
        "outputId": "6ea4b16a-810c-4ea5-ac3f-a3f82bf196ba"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "      <td>1</td>\n",
              "      <td>2020-01-03</td>\n",
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              "      <td>118792.0</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>2020-01-06</td>\n",
              "      <td>117707.0</td>\n",
              "      <td>117707.0</td>\n",
              "      <td>116269.0</td>\n",
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              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>-0.704291</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>2020-01-07</td>\n",
              "      <td>116872.0</td>\n",
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              "      <td>2020-01-08</td>\n",
              "      <td>116667.0</td>\n",
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              "      <td>5910500</td>\n",
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              "      <td>8</td>\n",
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              "\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-eb9d4668-32b6-4cd2-9a07-803e48d4d9cb');\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",
              "  "
            ],
            "text/plain": [
              "   index       Date      Open      High  ...  year  month  day  Rentabilidade\n",
              "0      0 2020-01-02  115652.0  118573.0  ...  2020      1    2            NaN\n",
              "1      1 2020-01-03  118564.0  118792.0  ...  2020      1    3      -0.730352\n",
              "2      2 2020-01-06  117707.0  117707.0  ...  2020      1    6      -0.704291\n",
              "3      3 2020-01-07  116872.0  117076.0  ...  2020      1    7      -0.184808\n",
              "4      4 2020-01-08  116667.0  117335.0  ...  2020      1    8      -0.355729\n",
              "\n",
              "[5 rows x 13 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Hipotese 1 - Existe um melhor mês para investir no ativo?**\n",
        "Considerando o período de dados de rentabilidade, o agrupamento mostra que os meses de fevereiro, março e setembro são mais \n",
        "interessantes para investir. *N~ao esquecer que esses dados possuem ruído e o gráfico a baixo deve ser considerado apenas para fins de aprendizado."
      ],
      "metadata": {
        "id": "opS40Cf3o7uA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.groupby('month').agg({'Rentabilidade':'sum'}).plot(kind='bar') #.agg para agregar os dados"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "id": "P4SSsL5so99s",
        "outputId": "4011bab8-27cd-43c5-b470-18f67714731d"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1439519b90>"
            ]
          },
          "metadata": {},
          "execution_count": 33
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.set_index('Date', inplace=True)"
      ],
      "metadata": {
        "id": "dmP8rrwPq1Cj"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "media_movel30d = df['Close'].rolling(30).mean()\n",
        "media_movel90d = df['Close'].rolling(90).mean()\n",
        "fig, ax = plt.subplots(figsize=(8,4))\n",
        "plt.plot(df['Close'])\n",
        "plt.plot(media_movel30d)\n",
        "plt.plot(media_movel90d)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "TXmnbpgZrWBW",
        "outputId": "ddaa2f4f-42ae-4ff3-e811-c6751f5c6126"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f14379dc2d0>]"
            ]
          },
          "metadata": {},
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Hipotese 2 - Existe um melhor dia para investir um ativo?** seguindo essa análise os melhores dias seriam 12,16 e 26."
      ],
      "metadata": {
        "id": "p5v0fs8h-I9S"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.groupby('day').agg({'Rentabilidade':'sum'}).plot(kind='bar')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "id": "9oCU8yDJ-RD7",
        "outputId": "bc12e937-b7bd-4336-95d5-dfdb0c92a8dd"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f143776a310>"
            ]
          },
          "metadata": {},
          "execution_count": 37
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXkAAAEJCAYAAABxIVf8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAY6ElEQVR4nO3de5RcZZnv8e+TgIRA5BJiAAMkjIGEYG408SggLC5DBOUyKyyB0UOUIUcQ45nRNcTFIDOeYcycE2WpIJ7MgCIjCAIOjAISQQYZhBAghEvCPWAwYsCDgAkYkvf8sXeaYqe6uzpdlep+8/2stVfvy1P7fatq16937dq1K1JKSJLyNKjdHZAktY4hL0kZM+QlKWOGvCRlzJCXpIwZ8pKUsa3a3YFau+yySxo9enS7uyFJA8r999//UkppRL1l/SrkR48ezaJFi9rdDUkaUCLiua6WebhGkjJmyEtSxvoc8hGxR0T8IiIei4hHI+Lz5fydI2JBRDxZ/t2p792VJPVGM47JvwV8IaX0QEQMA+6PiAXATOC2lNLciJgDzAHOaUJ7klpk7dq1rFixgjfeeKPdXVEdQ4YMYdSoUWy99dYN36bPIZ9SWgmsLMdfi4ilwHuB44HDyrLLgTsw5KV+bcWKFQwbNozRo0cTEe3ujmqklHj55ZdZsWIFY8aMafh2TT0mHxGjgSnAvcDI8h8AwG+Bkc1sS1LzvfHGGwwfPtyA74ciguHDh/f6XVbTQj4itgeuA/5nSunV2mWpuJ5x3WsaR8SsiFgUEYtWrVrVrO5I2kQGfP+1Kc9NU0I+IramCPgfpJSuL2e/GBG7lct3A35X77YppfkppY6UUseIEXXP5dcWbPScn240KG+DBw9m8uTJ7L///nzsYx/jlVde2aT1LF++nCuvvLLHujvuuIOPfvSjdZcdc8wxne1vv/32APzmN79hxowZdesPO+ywXn3Xp7u2m6XPx+Sj+NdyKbA0pfT1mkU3AqcBc8u/N/S1LUmbV7P/qS6fe2yPNdtuuy2LFy8G4LTTTuPiiy/m3HPP7X1bZcifeuqpvb7tBjfddNNG83bffXeuvfbaTV7n5taMPfmDgE8Ch0fE4nI4hiLcj4qIJ4Ejy2lJatgHP/hBXnjhBQCefvpppk+fzgEHHMAhhxzCsmXLAJg5cyazZ8/mQx/6EHvvvXdnAM+ZM4df/vKXTJ48mQsvvJDly5dzyCGHMHXqVKZOncrdd9/d2c6rr77Ksccey7777stnPvMZ1q9fDxTfwn/ppZfe0afly5ez//77A7BmzRpOPvlkxo8fz4knnsiaNWs6684880w6OjqYMGEC559/fuf8W265hXHjxjF16lSuv/76zvl//OMf+fSnP820adOYMmUKN9zQnP3iZpxdcxfQ1YGiI/q6fklbpnXr1nHbbbdx+umnAzBr1iy+853vMHbsWO69917OOussbr/9dgBWrlzJXXfdxbJlyzjuuOOYMWMGc+fOZd68efzkJz8BYPXq1SxYsIAhQ4bw5JNPcsopp3QeWlm4cCGPPfYYe+21F9OnT+f666/v8pBMrUsuuYShQ4eydOlSlixZwtSpUzuXXXDBBey8886sW7eOI444giVLlrDPPvtwxhlncPvtt/O+972Pj3/84++oP/zww7nssst45ZVXmDZtGkceeSTbbbddnx7HfnXtGklas2YNkydP5oUXXmD8+PEcddRRvP7669x9992cdNJJnXVvvvlm5/gJJ5zAoEGD2G+//XjxxRfrrnft2rWcffbZLF68mMGDB/PEE090Lps2bRp77703AKeccgp33XVXQyF/5513Mnv2bAAmTpzIxIkTO5ddc801zJ8/n7feeouVK1fy2GOPsX79esaMGcPYsWMB+MQnPsH8+fMBuPXWW7nxxhuZN28eUJzp9PzzzzN+/PiGHreuGPKS+pUNx+RXr17N0UcfzcUXX8zMmTPZcccdO4/VV22zzTad48XJfBu78MILGTlyJA899BDr169nyJAhncuqZ6309QyjZ599lnnz5nHfffex0047MXPmzB5PfUwpcd1117Hvvvv2qe0qr10jqV8aOnQo3/zmN/na177G0KFDGTNmDD/60Y+AIhAfeuihbm8/bNgwXnvttc7pP/zhD+y2224MGjSIK664gnXr1nUuW7hwIc8++yzr16/n6quv5uCDD26ojx/+8Ic7z+B55JFHWLJkCVAc499uu+3YYYcdePHFF7n55psBGDduHMuXL+fpp58G4Kqrrupc19FHH823vvWtzn9SDz74YEN96IkhL6nfmjJlChMnTuSqq67iBz/4AZdeeimTJk1iwoQJPX4wOXHiRAYPHsykSZO48MILOeuss7j88suZNGkSy5Yte8ex7gMPPJCzzz6b8ePHM2bMGE488cSG+nfmmWfy+uuvM378eL785S9zwAEHADBp0iSmTJnCuHHjOPXUUznooIOA4rIE8+fP59hjj2Xq1Km85z3v6VzXeeedx9q1a5k4cSITJkzgvPPO6+3DVVd09damHTo6OpLXk1eteqfwNXIanjbN0qVL+3wMWK1V7zmKiPtTSh316t2Tl6SMGfKSlDFDXpIyZshLeof+9Dmd3mlTnhtDXlKnIUOG8PLLLxv0/dCG68nXnt/fCL8MJanTqFGjWLFiBV72u3/a8MtQvWHIS+q09dZb9+pXh9T/ebhGkjJmyEtSxgx5ScqYIS9JGTPkJSljhrwkZcyQl6SMGfKSlDFDXpIyZshLUsYMeUnKmCEvSRkz5CUpY4a8JGXMSw1L6tdGz/lp3fnL5x67mXsyMLknL0kZM+QlKWOGvCRlzJCXpIwZ8pKUMUNekjKWxSmU9U6x8vQqScok5NvN83gl9VcerpGkjBnykpQxQ16SMmbIS1LGmhLyEXFZRPwuIh6pmbdzRCyIiCfLvzs1oy1JUuOadXbN94CLgO/XzJsD3JZSmhsRc8rpc5rUntTveCqv+qOm7MmnlO4Efl+ZfTxweTl+OXBCM9qSJDWulcfkR6aUVpbjvwVGtrAtSVIdm+XLUCmlFBGp3rKImAXMAthzzz075/vWV73hF9IGFp+vzaeVe/IvRsRuAOXf39UrSinNTyl1pJQ6RowY0cLuSNKWp5UhfyNwWjl+GnBDC9uSJNXRrFMorwJ+BewbESsi4nRgLnBURDwJHFlOS5I2o6Yck08pndLFoiOasX5J0qbxG6+SlDFDXpIyZshLUsYMeUnKmCEvSRkz5CUpY4a8JGXMH/LOhNf6kVSPe/KSlDH35Dcz97glbU7uyUtSxtyTV5e85rc08LknL0kZM+QlKWOGvCRlzJCXpIwZ8pKUMUNekjJmyEtSxgx5ScqYIS9JGTPkJSljXtagH/NiZpL6yj15ScqYIS9JGfNwjST1YCAfOnVPXpIyZshLUsYMeUnKmCEvSRkz5CUpY4a8JGXMkJekjBnykpSxLe7LUAP5Sw2S1FvuyUtSxgx5ScqYIS9JGdvijslLUqvU+8wP2vu5X8v35CNiekQ8HhFPRcScVrcnSXpbS0M+IgYDFwMfAfYDTomI/VrZpiTpba3ek58GPJVSeial9Cfgh8DxLW5TklSKlFLrVh4xA5ieUvqrcvqTwAdSSmfX1MwCZgHsueeeBzz33HMt609v9Mdja83QqvvVm+8ftPu7Cr15DFrV10bX29e+9qa2Gc9Xf3xuB1Jfu+pDT32NiPtTSh311tf2s2tSSvNTSh0ppY4RI0a0uzuSlJVWh/wLwB4106PKeZKkzaDVIX8fMDYixkTEu4CTgRtb3KYkqdTS8+RTSm9FxNnAz4DBwGUppUdb2aYk6W0t/zJUSukm4KZWtyPlaKB/0K/2a/sHr5Kk1jHkJSljhrwkZcyQl6SMGfKSlDFDXpIyZshLUsYMeUnKmL8MJWXCL06pHkO+C75gJOXAwzWSlDH35CVtkbaUd+vuyUtSxtyT1xZnS9mDk8CQl7ZIrfpH5z/Q/sfDNZKUMUNekjJmyEtSxgx5ScqYIS9JGTPkJSljhrwkZczz5CV1y3PfBzb35CUpY4a8JGXMkJekjHlMXk3hcVupf3JPXpIyZshLUsYMeUnKmCEvSRkz5CUpY4a8JGXMkJekjBnykpQxQ16SMmbIS1LGvKyBJPVzfblsiCEvtYHX+tHm0qfDNRFxUkQ8GhHrI6KjsuxLEfFURDweEUf3rZuSpE3R1z35R4C/AP5v7cyI2A84GZgA7A78PCL2SSmt62N7kqRe6NOefEppaUrp8TqLjgd+mFJ6M6X0LPAUMK0vbUmSeq9VZ9e8F/h1zfSKct5GImJWRCyKiEWrVq1qUXckacvU4+GaiPg5sGudReemlG7oawdSSvOB+QAdHR2pr+uTJL2tx5BPKR25Cet9AdijZnpUOU+SxOY7w6pVh2tuBE6OiG0iYgwwFljYorYkSV3o6ymUJ0bECuCDwE8j4mcAKaVHgWuAx4BbgM96Zo0kbX59OoUypfRj4MddLLsAuKAv61fz+SUcacvitWskKWOGvCRlzJCXpIwZ8pKUMUNekjJmyEtSxgx5ScqYIS9JGTPkJSljhrwkZcyQl6SMGfKSlDFDXpIyZshLUsYMeUnKmCEvSRkz5CUpY336ZShJ6k/85bONuScvSRkz5CUpY4a8JGXMkJekjBnykpQxQ16SMmbIS1LGDHlJypghL0kZM+QlKWOGvCRlzJCXpIwZ8pKUMUNekjJmyEtSxgx5ScqYIS9JGTPkJSljhrwkZczfeJW64W+GaqBzT16SMtankI+I/xMRyyJiSUT8OCJ2rFn2pYh4KiIej4ij+95VSVJv9XVPfgGwf0ppIvAE8CWAiNgPOBmYAEwHvh0Rg/vYliSpl/oU8imlW1NKb5WT9wCjyvHjgR+mlN5MKT0LPAVM60tbkqTea+Yx+U8DN5fj7wV+XbNsRTlvIxExKyIWRcSiVatWNbE7kqQez66JiJ8Du9ZZdG5K6Yay5lzgLeAHve1ASmk+MB+go6Mj9fb2kqSu9RjyKaUju1seETOBjwJHpJQ2hPQLwB41ZaPKeZKkzaivZ9dMB/4WOC6ltLpm0Y3AyRGxTUSMAcYCC/vSliSp9/r6ZaiLgG2ABREBcE9K6TMppUcj4hrgMYrDOJ9NKa3rY1uSpF7qU8inlN7XzbILgAv6sn5JUt/4jVdJypghL0kZ8wJl2uy86Je0+bgnL0kZM+QlKWOGvCRlzJCXpIwZ8pKUMUNekjJmyEtSxgx5ScqYIS9JGYu3LwHffhGxCniuzqJdgJcaWEWjdQOttt3tt6q23e23qrbd7beqtt3tt6q23e03o3avlNKIutUppX4/AIuaWTfQatvdvvfL+9Uf2vd+9b42peThGknKmSEvSRkbKCE/v8l1A6223e23qrbd7beqtt3tt6q23e23qrbd7beytn998CpJaq6BsicvSdoEhrwkZcyQl6SMDeiQj4hxEXFERGxfmT+9Tu20iDiwHN8vIv4mIo5poI3v96I/B5fr/fPK/A9ExLvL8W0j4h8i4j8i4p8jYodK7eyI2KPB9t4VEf89Io4sp0+NiIsi4rMRsXWd+r0j4osR8Y2I+HpEfGZDv6R2iYj3tGCdw5u9zoFqQIV8RHyqZnw2cAPwOeCRiDi+pvSfKrc7H/gmcElEfBW4CNgOmBMR59bU3VgZ/gP4iw3TdfqzsGb8jHK9w4DzI2JOTellwOpy/BvADsA/l/O+W1nt/wLujYhfRsRZEVH/W2yF7wLHAp+PiCuAk4B7gQOBf630dTbwHWBIuXwbYA/gnog4rJs2BpxWhEa53n4ZHBGxQ0TMjYhlEfH7iHg5IpaW83ZscB03V6bfHRFfjYgrIuLUyrJvV6Z3jYhLIuLiiBgeEX8fEQ9HxDURsVuldufKMBxYGBE7RcTOldrpNeM7RMSlEbEkIq6MiJE1y+ZGxC7leEdEPEPxGnouIg6trPOBiPi7iPizBh6Tjoj4RUT8W0TsERELIuIPEXFfREyp1G4fEV+JiEfLmlURcU9EzKyz3q0i4n9ExC3l/VkSETeXO10b7Zx10bfGz7DpzTen2j0Az9eMPwxsX46PBhYBny+nH6zc7mFgMDAUeBV4dzl/W2BJTd0DwL8BhwGHln9XluOH1unPgzXj9wEjyvHtgIdrli2tbaOyjsXVdVL88/1z4FJgFXALcBowrFK7pPy7FfAiMLicjtr7VfsYlONDgTvK8T3rPF47AHOBZcDvgZeBpeW8HXvxfN1cmX438FXgCuDUyrJv14zvClwCXAwMB/6+7P81wG6V2+1cGYYDy4GdgJ0rtdMr9/FSYAlwJTCyUjsX2KUc7wCeAZ6iuOzGoZXaB4C/A/6sh8ejA/hFuY3tASwA/lBuO1MqtdsDXwEeLWtWAfcAM+us92fAOcCulcfwHODWmnlTuxgOAFZW1nld+RicANxYTm/TxTZ8C8XO1pzy8TynvH+fA26o1K4Hnq0Ma8u/z1Qf15rxfwX+EdgL+Gvg32u37ZrxXwAHluP7UPl2aNnOPOB5YGG5rt27eL4WAh8BTgF+Dcwo5x8B/KpSewMwExgF/A1wHjAWuBz4p0rtVRTb938r60eV45cAV3ezbddu4ysafh02Wri5hnIjqTc8DLxZU/donRfFLcDXqROc9cbL6cU144PKJ30BMLmc90w3fX2IIkyG19mYatv8EfCpcvy7QEfNRnhfVxt2Ob01cFy5YayqLHsEeFfZh9coQ41ib31ppfZh3n6R7lTbX+CRSm1DoVHOb3pw0ObQ2PB41Yw3JThoXWg83s02+njN+Drg9vL+VIc1Xb0uyulzgf+i2Nar22jttv58D+v5Qvn8vr/28eui7w90s57a1+1SYKty/J6unsc66zwE+Dbw2/IxmNWL+1XNkYcq0/eVfwcByyrLnujm+XqiZnwdxc5F7ba9YfpPXa1jo3U2Wri5Boo90snli692GA38pqbudsogrpm3FfB9YF1l/r3A0A0Pes38HaobbDl/FEUwX1R9cit1y2se9Gco9zIp/uEsrrTzPeDpsi9ry/r/BCZ1t/FUlg2tTP91uZ7ngNnAbcC/UAT6+ZXaz1ME5r9Q7KFv+KczArizUttQaNRsiE0Njh5eXC0PjXK66cHRw/3qS2jcCvwtNe9GgJEU/xx/XjPvEWBsF4/Nr+vc/0GVeTMp3lk811VfgX/s7rGqvL6+TnF4s+6OFLCC4h/cF8rtPGqW1b4D/1z5GBxO8a7vGxTvvv8BuKKr56pm3mBgOvDdyvxfUbyjPoniNXZCOf9QNv5HfzdwcDl+HPCzbl4z95TrrM2iQcDHgXtr5j0J7NnI89Xd0FDR5hwo3kIf3MWyKysbyq5d1B1Umd6mi7pdqAmHOsuPpbLX1OB9GAqMqTP/3cAkir3ckV3cdp9etrU75V4jsCMwA5jWRe2Ecvm4HtbZUGiU85seHO0OjXK66cHRwtDYieIznmXA/6M4xLa0nLdzTd0MYN8uHpsTKtP/GziyTt104MnKvK9QHjqtzH8fcG0329lxFIH32y6Wn18ZNhwO3RX4fqX2MOBqisOdDwM3AbOArSt1P+zFa2sSxbvam4Fx5TbwSrm9fqhO7cLy8b9rw+NMsRM1u1I7uuzr74AnyuF35bwxNXWfpbITWLt9Nnw/Gi102HKGSmj8vhIaO1Vqmx4c/SE0yvldBcdWlbqGgqOXoTGxEhr7lPM3Co1y/jjgyOrjRs3nEDV1R/RU10PtR3pR2+16KT4X238T+tCK+1Wvdnwva3t8Dsp5HwCmUbyLPQj4InBMnbppvH2ocD+KnZSN6rrd7npT7OBAeZinXbU91VVCo619beb96q6W4lDd48C/UxxCPL5m2QO9rSunP9ei2qb3oYX3azbFjk6za8+n2BlZRHEiwm0Un7ncCZzbTd3t9ep63F4aLXRwSClBN59RbI7adrffH+8XDZ5p1mjdQKttd/ubWNvI2X4N1fU0bIVUERFLulpEcWy+pbXtbr9Vta1qn+JzjtcBUkrLy+89XBsRe5X1va0baLXtbr+3tW+llNYBqyPi6ZTSq+Xt1kTE+k2o65Yhr3pGAkdTHA+uFRQfCLa6tt3tt6q2Ve2/GBGTU0qLAVJKr0fERym+hPf+TagbaLXtbr+3tX+KiKEppdUUJ2EAxRe+KE4J7m1d9xrd5XfYcgYaPMOpVbXtbn8A3q+GzjRrtG6g1ba7/U2obehsv0brehq8nrwkZWxAXbtGktQ7hrwkZcyQl+oor6T4xXb3Q+orQ16SMmbIS6WIODcinoiIu4B9y3lnlNcPfygirouIoRExLCKe3XDt7yiuvd45LfUnhrwERMQBwMkUV0A9huKHVQCuTykdmFKaRHH9ntNTSq8Bd1BcwI7ydtenlNZu3l5LPTPkpcIhwI9TSqtT8c3CDb8Etn8Uv9L1MPCXFFfyhOJ69Bt+qexTbPwLX1K/YMhL3fsecHZK6f0UlxkeApBS+i9gdPn19cEppUfa1kOpG4a8VLgTOCGKH1ofBnysnD8MWFkeb//Lym2+T/HTge7Fq9/yG69SKYofdT+N4gccnqf47dY/UvyAyiqKX/UallKaWdbvSvGrYLullF5pR5+lnhjy0iaKiBkU1w3/ZLv7InXFq1BKmyAivkXxo9zHtLsvUnfck5ekjPnBqyRlzJCXpIwZ8pKUMUNekjJmyEtSxgx5ScrY/wcTX1m8AkANyAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.iloc[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mHkTAFdK-rRi",
        "outputId": "fa8cfbdf-19c1-46e0-9730-4312977816a7"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "index                  0.0\n",
              "Open              115652.0\n",
              "High              118573.0\n",
              "Low               115649.0\n",
              "Close             118573.0\n",
              "Volume           5162700.0\n",
              "Dividends              0.0\n",
              "Stock Splits           0.0\n",
              "year                2020.0\n",
              "month                  1.0\n",
              "day                    2.0\n",
              "Rentabilidade          NaN\n",
              "Name: 2020-01-02 00:00:00, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.iloc[-1]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w2Sd2-Eh-wh2",
        "outputId": "1537bb39-3ec2-4649-a6ed-7cc807977cda"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "index            4.940000e+02\n",
              "Open             1.041060e+05\n",
              "High             1.052690e+05\n",
              "Low              1.041060e+05\n",
              "Close            1.048220e+05\n",
              "Volume           1.113810e+07\n",
              "Dividends        0.000000e+00\n",
              "Stock Splits     0.000000e+00\n",
              "year             2.021000e+03\n",
              "month            1.200000e+01\n",
              "day              3.000000e+01\n",
              "Rentabilidade    6.867934e-01\n",
              "Name: 2021-12-30 00:00:00, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Close'].iloc[-1] / df['Close'].iloc[0] * 100 - 100"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "52bnMIDZ-4f5",
        "outputId": "a9327879-8028-47e9-93e9-296bbd107aa1"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-11.597075219485049"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Rentabilidade'].sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mQAyiJAl_P4R",
        "outputId": "15f25ed0-68c1-4957-9feb-e4a0745c975a"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-0.19164326528270692"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Correlação de séries temporais**\n",
        "Analise "
      ],
      "metadata": {
        "id": "Q5naWKXW_Ujx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "tickets = ['VALE3.SA', 'ITUB4.SA', 'PETR4.SA', 'ABEV3.SA', 'BBDC4.SA', 'BBAS3.SA', '^BVSP', 'USDBRL=X']"
      ],
      "metadata": {
        "id": "aZkA_c8k_e3I"
      },
      "execution_count": 56,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dfs = []\n",
        "\n",
        "for t in tickets:\n",
        "  print('Reading ticker {}...'.format(t))\n",
        "  ticket = yf.Ticker(t)\n",
        "  aux = ticket.history(interval='1d', start='2018-01-01', end='2022-01-01')\n",
        "  aux.reset_index(inplace=True)\n",
        "  aux['ticket'] = t\n",
        "  dfs.append(aux)"
      ],
      "metadata": {
        "colab": {
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        "id": "iXGtdXtXALTD",
        "outputId": "f35ff466-127e-4cba-e2bd-b116b890f527"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading ticker VALE3.SA...\n",
            "Reading ticker ITUB4.SA...\n",
            "Reading ticker PETR4.SA...\n",
            "Reading ticker ABEV3.SA...\n",
            "Reading ticker BBDC4.SA...\n",
            "Reading ticker BBAS3.SA...\n",
            "Reading ticker ^BVSP...\n",
            "Reading ticker USDBRL=X...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
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        "dfs[1]"
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        "outputId": "6faf6f4f-de17-45b4-ffc3-0b6157f0ab87"
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      "execution_count": 67,
      "outputs": [
        {
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          "data": {
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              "      <th>Date</th>\n",
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            "text/plain": [
              "          Date       Open       High  ...  Dividends  Stock Splits    ticket\n",
              "0   2018-01-02  24.028657  24.634987  ...       0.01           0.0  ITUB4.SA\n",
              "1   2018-01-03  24.646219  24.893242  ...       0.00           0.0  ITUB4.SA\n",
              "2   2018-01-04  24.842712  25.432201  ...       0.00           0.0  ITUB4.SA\n",
              "3   2018-01-05  25.331142  25.443426  ...       0.00           0.0  ITUB4.SA\n",
              "4   2018-01-08  25.297465  25.443433  ...       0.00           0.0  ITUB4.SA\n",
              "..         ...        ...        ...  ...        ...           ...       ...\n",
              "984 2021-12-23  21.297180  21.536811  ...       0.00           0.0  ITUB4.SA\n",
              "985 2021-12-27  21.446948  21.666611  ...       0.00           0.0  ITUB4.SA\n",
              "986 2021-12-28  21.596718  21.666612  ...       0.00           0.0  ITUB4.SA\n",
              "987 2021-12-29  21.496871  21.546793  ...       0.00           0.0  ITUB4.SA\n",
              "988 2021-12-30  21.407010  21.407010  ...       0.00           0.0  ITUB4.SA\n",
              "\n",
              "[989 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for d in dfs:\n",
        "  features_extraction(d)"
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      "metadata": {
        "id": "UbHFfNSoBXV5"
      },
      "execution_count": 68,
      "outputs": []
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    {
      "cell_type": "code",
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        "dfs[0]"
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        "id": "DhNGDLiMBePZ",
        "outputId": "1ad72970-6234-418e-ee8d-a51163b8d421"
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      "execution_count": 69,
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              "      <td>VALE3.SA</td>\n",
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              "      <td>29</td>\n",
              "      <td>0.259568</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>988</th>\n",
              "      <td>2021-12-30</td>\n",
              "      <td>77.989998</td>\n",
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              "      <td>77.610001</td>\n",
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              "      <td>0</td>\n",
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              "      <td>2021</td>\n",
              "      <td>12</td>\n",
              "      <td>30</td>\n",
              "      <td>0.919093</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>989 rows × 13 columns</p>\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e521bedb-49d5-4f17-9c52-340a78fcd46a');\n",
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              "            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",
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              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "          Date       Open       High  ...  month  day  Rentabilidade\n",
              "0   2018-01-02  30.893705  31.886829  ...      1    2            NaN\n",
              "1   2018-01-03  31.955587  31.993784  ...      1    3      -0.599221\n",
              "2   2018-01-04  31.940307  32.368112  ...      1    4       0.409928\n",
              "3   2018-01-05  31.756962  32.306999  ...      1    5       1.561006\n",
              "4   2018-01-08  32.391029  33.025097  ...      1    8       2.222731\n",
              "..         ...        ...        ...  ...    ...  ...            ...\n",
              "984 2021-12-23  79.949997  80.059998  ...     12   23      -0.963459\n",
              "985 2021-12-27  78.870003  79.449997  ...     12   27      -0.252691\n",
              "986 2021-12-28  78.510002  78.529999  ...     12   28      -2.406579\n",
              "987 2021-12-29  76.379997  77.980003  ...     12   29       0.259568\n",
              "988 2021-12-30  77.989998  78.980003  ...     12   30       0.919093\n",
              "\n",
              "[989 rows x 13 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "correlacao = pd.DataFrame()\n",
        "for d in dfs:\n",
        "  correlacao[d['ticket'].iloc[0]] = d['Rentabilidade']"
      ],
      "metadata": {
        "id": "fnC2j74HB0AC"
      },
      "execution_count": 71,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "correlacao.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "eZoTf3oFCHr3",
        "outputId": "e45849aa-746a-4bc6-da51-af78282236c7"
      },
      "execution_count": 72,
      "outputs": [
        {
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              "\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
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              "\n",
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              "          const element = document.querySelector('#df-0ea480b3-ef6e-41ce-a5ff-684725071d00');\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",
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              "  "
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            "text/plain": [
              "   VALE3.SA  ITUB4.SA  PETR4.SA  ...  BBAS3.SA     ^BVSP  USDBRL=X\n",
              "0       NaN       NaN       NaN  ...       NaN       NaN       NaN\n",
              "1 -0.599221  0.683696  0.906348  ...  1.275434  0.133520  0.102796\n",
              "2  0.409928  2.082376  0.179651  ...  0.959500  0.835951 -1.606765\n",
              "3  1.561006  0.288243  0.597716  ...  0.000000  0.539118 -0.684511\n",
              "4  2.222731 -0.331611  1.188359  ...  0.237592  0.389523 -0.074182\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "correlacao.corr() #.corr utiliza por padrão o método Pearson de correlação"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "rZKsRvJ4CLpP",
        "outputId": "7bb7d9c7-bc05-497a-bf3d-3c74dd880ff6"
      },
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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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-4e6caf6b-2c3a-4cea-bc08-c0c667ae0d02 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-4e6caf6b-2c3a-4cea-bc08-c0c667ae0d02');\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",
              "  "
            ],
            "text/plain": [
              "          VALE3.SA  ITUB4.SA  PETR4.SA  ...  BBAS3.SA     ^BVSP  USDBRL=X\n",
              "VALE3.SA  1.000000  0.371106  0.478635  ...  0.415073 -0.136610  0.016210\n",
              "ITUB4.SA  0.371106  1.000000  0.581537  ...  0.781665 -0.095741 -0.061749\n",
              "PETR4.SA  0.478635  0.581537  1.000000  ...  0.676667 -0.142036 -0.025682\n",
              "ABEV3.SA  0.245768  0.500708  0.410450  ...  0.458766 -0.191730 -0.036100\n",
              "BBDC4.SA  0.390861  0.746968  0.568684  ...  0.752280 -0.106876 -0.048993\n",
              "BBAS3.SA  0.415073  0.781665  0.676667  ...  1.000000 -0.115990 -0.039570\n",
              "^BVSP    -0.136610 -0.095741 -0.142036  ... -0.115990  1.000000 -0.015280\n",
              "USDBRL=X  0.016210 -0.061749 -0.025682  ... -0.039570 -0.015280  1.000000\n",
              "\n",
              "[8 rows x 8 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Visualização de dados usando Seaborn**"
      ],
      "metadata": {
        "id": "7CRNdYikEMbV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install seaborn"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2n2aLa5KEWGl",
        "outputId": "ffd503d8-a8dd-4369-d81d-80d29cde12d4"
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: seaborn in /usr/local/lib/python3.7/dist-packages (0.11.2)\n",
            "Requirement already satisfied: pandas>=0.23 in /usr/local/lib/python3.7/dist-packages (from seaborn) (1.3.5)\n",
            "Requirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.7/dist-packages (from seaborn) (1.21.5)\n",
            "Requirement already satisfied: matplotlib>=2.2 in /usr/local/lib/python3.7/dist-packages (from seaborn) (3.2.2)\n",
            "Requirement already satisfied: scipy>=1.0 in /usr/local/lib/python3.7/dist-packages (from seaborn) (1.4.1)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.2->seaborn) (1.3.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.2->seaborn) (0.11.0)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.2->seaborn) (2.8.2)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=2.2->seaborn) (3.0.7)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.23->seaborn) (2018.9)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib>=2.2->seaborn) (1.15.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns"
      ],
      "metadata": {
        "id": "nSNzzTq8EjRf"
      },
      "execution_count": 78,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ax, fig = plt.subplots(figsize=(20,5))\n",
        "ax = sns.heatmap(correlacao.corr(), annot=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 324
        },
        "id": "2OcAfhziEmtM",
        "outputId": "75229524-8231-42bd-d1a8-55791582314b"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x360 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Visualização de dados usando Plotly**"
      ],
      "metadata": {
        "id": "1ZbJ8q5aE4fG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install plotly"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fOfPV22bFPeK",
        "outputId": "eedf8b0a-a15b-476c-e6c3-38869fd1233b"
      },
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: plotly in /usr/local/lib/python3.7/dist-packages (5.5.0)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from plotly) (1.15.0)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.7/dist-packages (from plotly) (8.0.1)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import plotly.graph_objs as go"
      ],
      "metadata": {
        "id": "v00rafRcF7s8"
      },
      "execution_count": 86,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def plot_lines(df_,columns=['Open','Close','High','Low']):\n",
        "\n",
        "  fig = go.Figure()\n",
        "  for c in columns:\n",
        "    fig.add_trace(go.Scatter(x = list(df_.index), #Scatter é um gráfico de ponto\n",
        "                             y = df_[c],\n",
        "                             mode = 'markers+lines',\n",
        "                             name = c))\n",
        "    return fig"
      ],
      "metadata": {
        "id": "WcZxbYNnGB1c"
      },
      "execution_count": 95,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plot_lines(df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "DCzx3PB_GuNI",
        "outputId": "c7f4d431-ec82-4416-cef5-6c35feb13688"
      },
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
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    },
    {
      "cell_type": "code",
      "source": [
        "def plotCandleStick(df, acao='ticket'):\n",
        "  trace1 = {\n",
        "      'x': df.index,\n",
        "      'open': df.Open,\n",
        "      'close': df.Close,\n",
        "      'high': df.High,\n",
        "      'low': df.Low,\n",
        "      'type': 'candlestick',\n",
        "      'name': acao,\n",
        "      'showlegend': False\n",
        "  }\n",
        "\n",
        "  data = [trace1]\n",
        "  layout = go.Layout()\n",
        "\n",
        "  fig = go.Figure(data=data, layout=layout)\n",
        "  return fig"
      ],
      "metadata": {
        "id": "7uTJEK0dG8lC"
      },
      "execution_count": 109,
      "outputs": []
    },
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      "cell_type": "code",
      "source": [
        "plotCandleStick(df)"
      ],
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          "height": 542
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        "id": "zlbCkn7vInTC",
        "outputId": "4a3f055b-cb91-4369-873c-4a19e481f36a"
      },
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "display_data",
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