{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [
        "TfmkS6AXfTGo",
        "qM3m9LuFlaL_",
        "lq80Kq_syzt0",
        "45fFgSbo5iZ2",
        "pN6YZtNyHP6G"
      ]
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# OCEAN 443 Python refresher tutorial\n",
        "\n",
        "#### **URL for this notebook:** https://tinyurl.com/OCEAN443-Python\n",
        "\n",
        "#### **OCEAN 215 course website with slides and recorded videos:** https://ethan-campbell.github.io/OCEAN_215/calendar/"
      ],
      "metadata": {
        "id": "Esq1oHIb6eEU"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Python basics: variables, lists, loops, arrays, NumPy\n",
        "\n",
        "OCEAN 215 slides:\n",
        "- [Lesson 2: Math, variables, strings](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_2.pdf)\n",
        "- [Lesson 3: Lists, object types, logical operations](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_3.pdf)\n",
        "- [Lesson 4: For loops, while loops, list comprehensions, if statements](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_4.pdf)\n",
        "- [Lesson 5: NumPy - arrays and functions](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_5.pdf)\n",
        "- [Lesson 6: Multi-dimensional NumPy arrays, dictionaries, and datetime](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_6.pdf)\n"
      ],
      "metadata": {
        "id": "TfmkS6AXfTGo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# print() function\n",
        "print('Python is great!')\n",
        "\n",
        "# Remember: run cells using play button or Shift-Return / Shift-Enter"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_LlqSscKUXwk",
        "outputId": "e70e8a89-572d-4e14-a949-540662fb5f5d"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Python is great!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Creating variables\n",
        "day_of_month = 24         # int (integer)\n",
        "print(day_of_month)\n",
        "hour_of_day = 9 + 45/60   # float (floating-point, or decimal, number)\n",
        "print(hour_of_day)\n",
        "month = 'January'         # string (can use single or double quotes)\n",
        "print(month)\n",
        "date = 'January' + ' ' + '24th'   # multiple strings concatenated together\n",
        "print(date)\n",
        "cold = True               # boolean (True or False)\n",
        "print(cold)\n",
        "\n",
        "# Remember: write variable names that are meaningful"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "odOUAaWQVPiQ",
        "outputId": "2a5dae55-7402-4557-cde7-e8e2b1e032c2"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "24\n",
            "9.75\n",
            "January\n",
            "January 24th\n",
            "True\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Note that variables persist in Colab's memory across cells\n",
        "\n",
        "# Modifying variables\n",
        "day_of_month = day_of_month + 1    # adds 1 to the existing value\n",
        "print(day_of_month)\n",
        "day_of_month += 1                  # a more compact way of writing the line above\n",
        "print(day_of_month)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T4f3Gh4UVt8z",
        "outputId": "0f9de35f-da30-4b0f-d3fa-baf96b72fa60"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "25\n",
            "26\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Another useful type of variable: datetime object\n",
        "from datetime import datetime     # first, import the package\n",
        "now = datetime(2023,1,24,9,45,0)  # format: (year, month, day, hour, minute, second)\n",
        "print(now)\n",
        "print(now.month)   # extract month from datetime"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CRcgEBWOAwMY",
        "outputId": "44c84fb6-52ce-4b59-87b7-319963847b02"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2023-01-24 09:45:00\n",
            "1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# An unfortunately common object: NaN (not-a-number)\n",
        "import numpy as np\n",
        "today_data = np.NaN\n",
        "print(today_data)\n",
        "print(np.isnan(today_data))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8PMGkk95A_6s",
        "outputId": "f577c082-d9d1-4c8d-ab0b-587468abfb4c"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "nan\n",
            "True\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Creating lists\n",
        "months = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']\n",
        "mon_nums = [1,2,3,4,5,6,7,8,9,10,11,12]\n",
        "print(months)\n",
        "print(mon_nums)\n",
        "\n",
        "# Check length of a list using len()\n",
        "print(len(months))\n",
        "\n",
        "# Remember: lists can have any type of object in them, including different types of objects\n",
        "# (e.g., numbers and strings, and even lists inside the list)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P-yNz5iIV96L",
        "outputId": "c11b2e1c-9b5f-43d3-acd8-0cad1b01e47f"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']\n",
            "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]\n",
            "12\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# List indexing\n",
        "print(months[0])       # the 1st element\n",
        "print(months[11])      # the 12th element\n",
        "print(months[-2])      # the second-to-last element\n",
        "print(months[0:3])     # the first 3 elements\n",
        "print(months[5::2])    # every 2nd element starting at the 6th element (Jun)\n",
        "\n",
        "# Modifying a list\n",
        "months[11] = 'December'   # change the 11th element to 'December'\n",
        "print(months)\n",
        "\n",
        "# Append to a list\n",
        "months.append('January of the next year')\n",
        "print(months)"
      ],
      "metadata": {
        "id": "M0hgDPqCWMty",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "205ff4de-d2df-4da7-f6ac-abdcd62e26b1"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Jan\n",
            "Dec\n",
            "Nov\n",
            "['Jan', 'Feb', 'Mar']\n",
            "['Jun', 'Aug', 'Oct', 'Dec']\n",
            "['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'December']\n",
            "['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'December', 'January of the next year']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Which months in Seattle have comfortable weather?\n",
        "# Let's Google \"Seattle temperature by month\" and transcribe the table of high temps\n",
        "# ASK: try to write a loop to tell us which months in Seattle are at least 66°F\n",
        "\n",
        "months = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']\n",
        "temp = [47,49,52,57,63,66,72,72,67,59,51,46]\n",
        "\n",
        "# Let's start by reviewing for-loops\n",
        "for mon_idx in range(12):\n",
        "  print(mon_idx, months[mon_idx])"
      ],
      "metadata": {
        "id": "ilLaxm7qNKQ1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e157181d-9c2c-4fd9-8b93-b4ad5b38d54e"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0 Jan\n",
            "1 Feb\n",
            "2 Mar\n",
            "3 Apr\n",
            "4 May\n",
            "5 Jun\n",
            "6 Jul\n",
            "7 Aug\n",
            "8 Sep\n",
            "9 Oct\n",
            "10 Nov\n",
            "11 Dec\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Here we add an if-statement to check each month's temp against the threshold\n",
        "temp_threshold = 66\n",
        "for mon_idx in range(len(months)):\n",
        "  if temp[mon_idx] >= temp_threshold:\n",
        "    print('This month is comfortable: ' + months[mon_idx])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VFhS0IeXfvZL",
        "outputId": "50b38cb8-39ef-4778-c536-93ad3dba428b"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "This month is comfortable: Jun\n",
            "This month is comfortable: Jul\n",
            "This month is comfortable: Aug\n",
            "This month is comfortable: Sep\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# What about a loop to check which month is exactly 57°F?\n",
        "for mon_idx in range(len(months)):\n",
        "  if temp[mon_idx] == 57:\n",
        "    print(\"This is the month we're looking for: \" + months[mon_idx])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EqGKlsBbfx8b",
        "outputId": "ed46688e-3e0d-406f-9bcb-13cd5c1c207b"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "This is the month we're looking for: Apr\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Add an else statement for months that don't meet the criteria\n",
        "for mon_idx in range(len(months)):\n",
        "  if temp[mon_idx] == 57:\n",
        "    print(\"This is the month we're looking for: \" + months[mon_idx])\n",
        "  else:\n",
        "    print(\"This is not the month we're looking for: \" + months[mon_idx])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Qy5igAvdf2rS",
        "outputId": "5b21a3db-058d-4720-cd3c-3d2ab61a035e"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "This is not the month we're looking for: Jan\n",
            "This is not the month we're looking for: Feb\n",
            "This is not the month we're looking for: Mar\n",
            "This is the month we're looking for: Apr\n",
            "This is not the month we're looking for: May\n",
            "This is not the month we're looking for: Jun\n",
            "This is not the month we're looking for: Jul\n",
            "This is not the month we're looking for: Aug\n",
            "This is not the month we're looking for: Sep\n",
            "This is not the month we're looking for: Oct\n",
            "This is not the month we're looking for: Nov\n",
            "This is not the month we're looking for: Dec\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Now let's convert the Seattle temperatures from Fahrenheit to Celsius\n",
        "# Formula: subtract 32 and multiple by 5/9\n",
        "\n",
        "# This won't work, because you can't do math with lists\n",
        "# new_temp = (temp - 32) * (5/9)\n",
        "\n",
        "# Instead, we have to import NumPy and use NumPy arrays\n",
        "import numpy as np\n",
        "example_array = np.array([1,2,3,4,5,6])  # array() is a function in the np package\n",
        "print(4 * example_array)\n",
        "example_list = [1,2,3,4,5,6]             # for comparison\n",
        "print(4 * example_list)\n",
        "\n",
        "# Now the math will apply to each NumPy array element\n",
        "temp = np.array(temp)           # convert temp from list to array\n",
        "new_temp = (temp - 32) * (5/9)\n",
        "print(new_temp)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yPc-2LfmdXRi",
        "outputId": "6ad0943f-c62e-4686-99be-6730510ca86a"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[ 4  8 12 16 20 24]\n",
            "[1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6]\n",
            "[ 8.33333333  9.44444444 11.11111111 13.88888889 17.22222222 18.88888889\n",
            " 22.22222222 22.22222222 19.44444444 15.         10.55555556  7.77777778]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ASK: try to do the same temp threshold exercise, but WITHOUT a loop\n",
        "# (Hint: use boolean indexing!)\n",
        "\n",
        "months = np.array(months)                  # convert from list to array\n",
        "\n",
        "comfy_temp_mask = temp >= temp_threshold   # this creates a Boolean mask\n",
        "print(comfy_temp_mask)\n",
        "\n",
        "print(months[comfy_temp_mask])             # index into months using the Boolean mask"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DDKm9Fi9bkGv",
        "outputId": "644bbacf-fc46-4b52-fb6c-bb643bbcb71f"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[False False False False False  True  True  True  True False False False]\n",
            "['Jun' 'Jul' 'Aug' 'Sep']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Some common NumPy functions you should know...\n",
        "\n",
        "print('The average temp is:',np.mean(temp))\n",
        "print('The median temp is:',np.median(temp))\n",
        "print('The highest temp is:',np.max(temp))\n",
        "print('The lowest temp is:',np.min(temp))\n",
        "print('The sum of all the temps is:',np.sum(temp))\n",
        "print('The standard deviation of all the temps is:',np.std(temp))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bSVT9GtagfJ3",
        "outputId": "6811778c-58b4-4b96-fa2a-112aba8b6f12"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The average temp is: 58.416666666666664\n",
            "The median temp is: 58.0\n",
            "The highest temp is: 72\n",
            "The lowest temp is: 46\n",
            "The sum of all the temps is: 701\n",
            "The standard deviation of all the temps is: 9.096320990134174\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**See this slide deck for more common NumPy functions:** https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_5.pdf"
      ],
      "metadata": {
        "id": "F44nLLBKiomS"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Working with CSV/Excel files (spreadsheet data)\n",
        "\n",
        "*Download TAO mooring SST data file from 0°N, 170°W: https://tinyurl.com/OCEAN443-data-TAO*\n",
        "- *Obtained from https://www.pmel.noaa.gov/tao/drupal/disdel*\n",
        "\n",
        "<br>\n",
        "\n",
        "OCEAN 215 slides:\n",
        "- [Lesson 7: Loading files, loading data using NumPy, and intro to Matplotlib](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_7.pdf)\n",
        "- [Lesson 8: El Niño time series demo](https://nbviewer.org/github/ethan-campbell/OCEAN_215/blob/main/materials/lessons/lesson_8_notebook.ipynb)\n",
        "- [Lesson 9: Pandas and Xarray - working with CSV and netCDF data files](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_9.pdf)"
      ],
      "metadata": {
        "id": "qM3m9LuFlaL_"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        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ABCAAAQjknAAiMueIuQEEIAABCEAAAhCAAAQgAAEIQAACEIAABCCAiOQ9AAEIQAACEIAABCAAAQhAAAIQgAAEIAABCOScACIy54i5AQQgAAEIQAACEIAABCAAAQhAAAIQgAAEIICI5D0AAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEI5JwAIjLniLkBBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQggIjkPQABCEAAAhCAAAQgAAEIQAACEIAABCAAAQjknAAiMueIuQEEIAABCEAAAhCAAAQgAAEIQAACEIAABCCAiOQ9AAEIQAACEIAABCAQKgLr16+XTZs2SbVq1aRMmTKhahuNgQAEIAABCEAAAhAITgARGZwdNSEAAQhAAAIQgAAELBN47LHH5IILLnCitm7dWr7++mspV66c5bsQDgIQgAAEIAABCECgNAggIkuDOveEAAQgAAEIQAACEEhIoHPnzvLpp59G82bPni1NmjSJnnMAAQhAAAIQgAAEIFC4BBCRhdt3tBwCEIAABCAAga2IwIoVK2T06NEyffp0mTZtmmzcuFEaNmwou+++uxx55JEyYsQI+eabb+SII46Q888/v2DJ7LXXXvLDDz9E26/He+yxR/ScAwhAAAIQgAAEIACBwiWAiCzcvqPlEIAABCAAAQhsBQR0rcThw4fLwIEDZdWqVSmfuE6dOrJo0aKU5cJa4MADD5Qvv/wy2rxZs2ZJ06ZNo+ccQAACEIAABCAAAQgULgFEZOH2HS2HAAQgAAEIQGArIKCjG3XdxEzS5s2bC3ZdxUceeUSuu+46WbNmjRx00EHy7rvvFuyzZNJnlIUABCAAgf9P4K+//pJffvlFtmzZEkWiG5eVL19eKlSoIDVr1pTtt99eKlWqFM3P58ETTzwhzzzzjNO+W2+9VTp16pTP20fvpTMjfvrpJ2dzt+jFNA6qVKkiu+22G79b02BFkdwQQETmhitRIQABCEAAAhCAQNYEdLr1mWeeWSLODjvsIB06dHCmYs+bN69Evu46XbFixRLXuQABCEAAAhAIM4HXX39dTj75ZPn77799m6lismvXrvKvf/1LjjvuOKlevbpveVuZa9eule22285ZHkVjHn300fLOO+/YCp92HF2mRZcy0d/3QdIDDzwg/fr1C1KVOhDImgAiMmuEBIAABCAAAQhAAAK5IXDooYfKxx9/HA2uI0Hef/99Z/SFfgjT9PDDD0vfvn2jZfRAR5NUrVo15pr3RNeb/Pnnn2XGjBnOepP6ga9Fixay6667yj777CM6WsIv6QexyZMny7p166LFGjduLM2aNYue//777/LVV1/JF1984XxA1A+M+++/f8IRLHp/XQty2bJl0fp6oLtl77ffflKtWrWY66lOsn0+jR+JRGTs2LHOaJO5c+fKypUrnQ+f9evXd9qkI3UeffRR2XHHHeWmm25yRumkahf5EIAABCDgT+Ccc86Rp556yr9QXG6jRo3krbfecn5/xWVZP9U1mvX3pZsaNGgg8+fPd0/z9qqzBy688MLA91POOrKTBIHSIICILA3q3BMCEIAABCAAAQikIKCST2WiCjE3HXvssc6HLffcfe3fv7/cd999zqnKShWR22yzjZsdfd2wYYMMGzZMBg0alHQUhY62HDp0qJx00kniys5oAHPw559/ikpHXbvSm3SEiIpEHaXRp08f+eyzz7zZzrFKznHjxknlypVj8lRQfv311zHX3JPbbrtNrr32WvfU99XG8+kNtI36AW/KlCm+93MzVbZ27NjRPeUVAhCAAAQCEtClSIJsuKa/+3TDtr333jvgndOrFhYR+d1330nbtm3Ta3SCUmeffbY8+eSTCXK4BIHcE0BE5p4xd4AABCAAAQhAAAIZE1i9erVsu+22MfX0g5auS6XT1nS0oJtUWuoHtwkTJoiOcrjiiivcrOirCsJjjjnGEYXRiz4HJ554oowcOTLmPlr87bfflm7dupWoqWt16XqORx11lKgQTJZUUOraj27S0YsqMZMlXS/y5ptvTpYdvW7r+XSUqE538472jN4kycGrr74qJ5xwQpJcLkMAAhCAQLoEdI3jzz//XM477zyZOXNmtNoZZ5whhxxyiPM7TDc00y+A4pN+2aVfaunvyvik6ylOnDjRyV+4cKEsX77c+Tlfr1490RGV+nM/nbUebYrIbNukz3P55ZfHfPE3YMAAOfzww+Mf3zk/4ogjoutuJhKRujncnDlzonWVY5s2baIzGXQauN5T+SuHAw44QLp06SJNmjSJ1vEe6EhRLavrfervev2vbNmyzu/8Vq1aic760C8245N+qalfBOrMAy2/7777Ov2lM0L0us6+0N+5el8Vsjp7Qd8ret65c+eUgtbGrIn4NnOeIQHzLTsJAhCAAAQgAAEIQCCEBGrXrq3DIUv8Z/5wjxjZGHnjjTciZo3IlC03G79E9txzzxJxzIeMiPkQETFTy0rk6X3NIvwlYpsPcBHzwSBhebORQMLr3mf4/vvvS8Q0HwCT1jMiskT5+As2n+/qq6+OaYs+6y233BIxkjUyatSoyKmnnhqTr89mRGR8kziHAAQgAIEsCBhJFfOz1oz6j4n2yiuvRMyXdTFl9Oex+QItppyemCnIETPDoERZ7+8mPTZrL0fMl1ol6hshFjECzolz4403xsQxsw8iZpmOmP+GDx8eMaK0RBzvhWzb5Ma6+OKLY9pjvqx0s5xX/f3oJrOOZrSs+dLSvey8XnXVVdE8Lxdtp5HDEbOmZET/ZvDmuccvvfRSTCyzNEvErJ2ZsKxbR1/192v83xlm2ZgSf2MY4RkxS8bExKtRo0bC38dmJofTFzEN+ufEiNTIvffeGzFfnMbE8rbJzApxftdrn5NyR0Cn+5AgAAEIQAACEIAABEJIwIxyTPrHsvcP55YtW0b0Q9rixYsTPoVKS295FYZmcf2IWesxWn7q1KkRM6U6ppz+QW/WboyWcQ/MSIiIfghUIeqN6x6btSYjZgp4xGy243wYMaM3nQ8wl1xyiRsi5tVMJY+MGTPG+eP/lFNOiYmZjoi0+XzxH36bN28e01Y9MSNuImaERrSdZtfSEmW4AAEIQAACwQnE/yyOF5Ea+dlnn43+HHZ//5gZAzE3NaPxIvq7zM1P9XrwwQdHzLrFMTE+/fTTtOt74+u9EyUbbXLjJhORZrRlxCx74jy72fTOKW5GfEaf4+6773ZDOK9mNGk0z/sMWs7MkEiY55bTLzS96ayzzvIt79ZzXz/66KNodf1iz70e9FWlpVfAanD9u0V/n6cbU59ZBSwpNwQQkbnhSlQIQAACEIAABCCQNYFFixZFVOql+4ezmeIc+fDDD2Puq9/q16lTJybGHXfcEVPGPdE/unXkgfd+ZjMcN7vEq9lIJqas1jv++OMjZlp5TFmz0Utk1apVMdeSndx+++0xMVOJSNvPp+33Pr8e68gOs25mxKwdGVmwYIHTdLNGZkQ/nE6aNCnZo3AdAhCAAAQCEkhHRKowNFN8Y35m66g9b3rvvfdi8vVnupmKHbn00ksjZv3hhDMCzBIi3hARHeEY/3shnfPnnnsuJo57YqNNbqx4Eamj+vULRL23t41mfWfnd1avXr0iZrfsiI5a9Kb4L/S8dVMdmzWlvaEi7dq1i7m3fhl55JFHRvRvD7PDeYkRj16RqbMmUt0vnfwPPvgg2iabsyaiQTnIigAiMit8VIYABCAAAQhAAAK5JaBTiYYMGZJ0SlT8H+QVK1aMmDWeoo3SaU7xZcyaTxEd9ZHoP63vLR8/fSsa2BzEi0ize3fWIwgyFZG2n08/KHmfP9GxfojVESZPPfVUzKhSLxuOIQABCEAgOIF0RKRGN2sdlviZbdZ/jN5YRwaqZGvfvr0j4MyagtE8PdAvleKXQTGbuMSUMWsnpv072P2dodPG//jjj5g47omNNrmx4kWke//411TLuOjfGirvrrnmmhI8NZZOo9ZZE7okzMCBAx2Zq9d1RkY8UxW5Zj3KiFkzOvL4449HzJqMbnOdV7MhUcw9lL836YjR+NGL2odm7cjIHnvsEVNXR3nql7Zmg7mY694p6vGSNdtZId62chyMACIyGDdqQQACEIAABCAAgbwQcKeI6YhCnQ597rnnJhzB4f3QoX+Qu0k/NHjzMj02G9y4oUq8xovIVGtilQiQ4EKmItL28+lozvgRNn7M6tatGxk/fnyCJ+ESBCAAAQgEJZCuiDSbmZX4HafTcJMllWIqur766itnRLuODIyXWIMHDy5RXeWmjoB/4YUXYu6nEk3Xj/T+p0udZDKtN2ibtJG2RKT7wLoecvzvPP2CcvTo0W4R51VnI5jNaGKuJTpR0asS1GymF/n2228d9son/h7xMykOPPDAmDLuMjHxz/vggw86t3399ddjyutakJpsz5pwgvJP1gQQkVkjJAAEIAABCEAAAhCwT0CnUen6TjrNTOVcfNJ1Ca+//vqEi67rtCg3qRyM/4O/Vq1akVT/6XRu3UTGO73Jjem+hkFE5uL5li5d6kzbq1y5cgl28Sz1XBe313UuSRCAAAQgYIdAuiJSR+fF/1yePXt2TCP0XKcsezdria/jPdcRdMnSr7/+GnM/3ewtSLLVpngx530O73GqEZHuM8SLSN0UJtEmc275RK8qH/WLU511kWxzO2/b9Dh+jWuviNQ1Pl2xq3/3eOt+8sknThN0FKb3us4k0WR71oQTlH+yJoCIzBohASAAAQhAAAIQgIB9ArpDs/ePah29kSjpKAHdtdNbVj9suUlHcXjz9Hjy5MludlavYRCRtp9Pp6fpRj66hpdu5qMfbnSdzP79+0f0g3H81HWXLaMis3orURkCEIBADIF0RWTPnj1L/I5bt25dNJaKKl2j0P1Znc5rrkWkzTbFi0idWq3rF99///3RZ1aRp2s1p5PiReThhx+eTrVoGZ290blz5+i90+GtZfxEpMpMN8WLSHcmxtixY2PueeeddzpVbM+acNvBa3YEEJHZ8aM2BCAAAQhAAAIQyAmB+DWUmjRpknAalI7Eix+5p2W9aeedd475A11HGsTvKOmW37Bhg7PbdYcOHSI6LXvu3LluVonXMIhIbZTN57v11lujrAYMGFDimZWbTvmK/3A1cuTIEmW5AAEIQAACwQikIyJVeunofu/PY10uw006CjD+96OWbdGiReS8885z1l/WL5ni1x3MRETWr1/fvV1ar7bbFC8i3bUR9XeVrmesElY3iEk3ZSsi49djVN7aB7pZjUrEW265xVljOV4O50pE5mLWRLosKZecACIyORtyIAABCEAAAhCAQKkReOKJJ2I+XOkf87p24ZdffhmViPqHu+766f0Qpse6aYw3PfvssyXKaKynn37aWfNK18saM2aMs0h9/Ie6YcOGeUNFdFqayrpEGwTowvR6Xf/TTW60be4u0zFB/jnRBeZ11Iaue+nW02lu3ufRD4hunsYcNGhQiZg2n+/EE0+Mub9+WI1/Bu0Dbxv1ONOpa4l4cA0CEIAABP4/gXREpK7lGP+z+LLLLosijF/PUct++OGH0Xz3QDce88bxE5G6/qS3bPwu3W7MZK+225RMROr9dY1p3eAlk5SNiNT7xc8a0BGVOrsgPunyL16OuRKRtmdNxD8H58EIICKDcaMWBCAAAQhAAAIQyCkBlYTeP9K9xzpNSUc9eq+5xzoFK9E07rPOOithebdesledmuxNhx12WEZxbrjhBm/1mOPrrrsuo1huGxPFtPV8xx57bIk26QcrnWp2/vnnO6NE4z9o6VR4HUlKggAEIAABOwT8RKRKK/157P5O8L5+88030QZcddVVMWV0t+REswG805g1lp+I/O2332Jiavn45U50A5z77rvPGQWoYlRHbrrJdpv8RKR7z0xesxGR2i/evtDj2267rcTtVUzqruLesrkSkXpzm7MmSjwMFwIRQEQGwkYlCEAAAhCAAAQgkFsCiUZNeP9oT3Y8dOjQhA3T9aF0RGGyeomu69Rk3XHSm3QDnURlk13r06ePt3rMsU6JS1bP77qOkIxPtp6vW7duGbVJpbCux0WCAAQgAIHsCSxZsiRy1113RXQ3au/vAV0KRH8+77LLLkk3QNHfcd50zz33xMTQeJdffnnkxx9/dHZy1p/dp512WokyLVu2jDz++OMJv2BSqehtlx7rqMgzzjjDmY3QvHnzEvk6w8FNttqkX349+uijkfj76bIqF1xwgTPLwb1nqlf9PT9ixIjIRRddFNlnn31i2q/94M5K0Ffl9/777ycMqZvUxK9ZrVPXVW7qzALlrm3Wa/EM+/XrF5kyZUpk48aNEf07Rr9U9Za58cYbIzqLIn6NSF0jVOvFrxHZpk0b577aUJuzJhI+OBczJoCIzBgZFSAAAQhAAAIQgEDuCeh0ae8f4fFTpr15eqwj+dLZMEVHS/rtZFmlSpWIykN3Afj4J33ppZdKjGSIb4ue64cI/SCQaHSmG1OnMx9wwAElPnAkiufGbN++ve9zZvt8V155ZZS7frhM1ha9fsIJJ/i2xX1OXiEAAQhAID0C3nV6/X7+xuftvvvukdWrV8fcRJcciS+Xyflbb70VE889adeuXUZxdeq3m2y1STdU83sW/ZvB3WnavXey10TrKPrF1pGlK1asSBjOu9u1X4xEeSpBdSOfRHl67e677y4hIvW6jp6NF5F6XWcvuBsX2Zo1kfChuZgxgTJaw3QSCQIQgAAEIAABCEAgZAQ++OADmTlzppiRINK2bVuZOnWqGEEpZsSImA8YUq9ePTGL0Uvjxo3FjDDIqPVm5ILMmTPHiW92ihazXpOYkQ/StGlTMQIuo1hhLBz0+cx6UqLclamRpLJ06VKHuV43oy7FTMOWhg0byo477ihmU4QwPjptggAEIFCwBMxUZjFTpTNqf+/eveWBBx5wfj57K6rqMCPm5OWXX/ZeLnFsRrY718zIwJg8MzJPzNTnmGt68tFHH4lZE9n5PVwiM+5Cjx49xIw2jP5etdWm5557TswozLi7/e9Un0l/b5kp0P+7mOTIrJspZi3HJLmJL5uN7Jzfg/G5EyZMEPOFoZj1IuOzYs7NyEnR39PeZMShPP/883LSSSd5L0ePBw4cKFrv5ptvjl7Tgz333FMefPBB6dSpU8x184Wo8zt8u+22EzOSVcxoTnnyySdjyvidmFkhMmTIENE4JMsEVESSIAABCEAAAhCAAAQgAAEIQAACEIBAaRL47rvvIuaLnoSj4nQpDB3lphud6DIhunzI559/7ttcXbbDCKyIjuIzKiXmP42lU4113UddDkVnBGgZLavrIc+fPz9pbPPFYKRLly4Jp4lrHN2ETUc/Jko22mS+JHNmHcRPYdb262hIncqcbtJRg34zJbzcdE1knUbtl3TK+7777hvD2o3RunXryCuvvOKsm9mxY8doGe1znZKtm+skqqsb1xnJ6Wyy591xW98LOvVdZ5G4/af30r5N1M5sZ034PTd56RNgRKR5l5IgAAEIQAACEIAABCAAAQhAAAIQKE4CZiqxzJo1S4x0lBo1aohZa9KZUWCkVlYPbNY0lNmzZ8sff/zhxNXZBTpDwcjMlHFz1aaUN85DAR1dqrMulI2ORjQb7EmzZs1KjFrNQ1MS3iLorImEwbiYMQFEZMbIqAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhkSgARmSkxykMAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIZE0BEZoyMChCAAAQgAAEIQAACEIAABCAAAQhAAAIQgECmBBCRmRKjPAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIJAxAURkxsioAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCGRKABGZKTHKQwACEIAABCAAAQhAAAIQgAAEIAABCEAAAhkTQERmjIwKEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQKYEEJGZEqM8BCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgkDEBRGTGyKgAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIZEoAEZkpMcpDAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACGRNARGaMjAoQgAAEIAABCEAAAhCAAAQgAAEIQAACEIBApgQQkZkSozwEIAABCEAAAhCAAAQgAAEIQAACEIAABCCQMQFEZMbIqAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhkSgARmSkxykMAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIZE0BEZoyMChCAAAQgAAEIQAACEIAABCAAAQhAAAIQgECmBBCRmRKjPAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIJAxAURkxsioAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCGRKABGZKTHKQwACEIAABCAAAQhAAAIQgAAEIAABCEAAAhkTQERmjIwKEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQKYEEJGZEqM8BCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgkDEBRGTGyKgAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIZEoAEZkpMcpDAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACGRNARGaMrDgqRCIR+euvv6R8+fJSuXLl4ngongICEIAABCAAAQhAAAIQgAAEIAABCEAgtAQQkaHtmtw1bPXq1bLPPvvI7NmzpWzZsjJq1Cg54YQTcndDIkMAAhCAAAQgAAEIQAACEIAABCAAAQhs9QQQkVvhW2Ds2LFyyCGHRJ/8vPPOk8ceeyx6zgEEIAABCEAAAhCAAAQgAAEIQAACEIAABGwTQETGEV2xYoWMHj1apk+fLtOmTZONGzdKw4YNZffdd5cjjzxSRowYId98840cccQRcv7558fVLozTN998U7p37x5t7CmnnCIvvvhi9JwDCEAAAhCAAAQgAAEIQAACEIAABCAAAQjYJoCI/Ifopk2bZPjw4TJw4EBZtWpVSs516tSRRYsWpSwXxgJjxoyRww47LNq0Pn36OM8evcABBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQsE0BE/gNURzdmOj158+bNUq5cOctdkvtwKlp1avbUqVOlZs2ajoQ89thjc39j7gABCEAAAhCAAAQgAAEIQAACEIAABCCw1RJARJqu1+nWZ555Zok3wQ477CAdOnRwpmLPmzevRP769eulYsWKJa5zAQIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIglgIg0PA499FD5+OOPo2QqVKgg77//vnTq1EnKlCnjXH/44Yelb9++0TJ68Ndff0nVqlVjrnlPdL3Jn3/+WWbMmOGsN/n3339LixYtZNddd3V2ra5SpYq3eInjWbNmyZw5c6LXtV1t2rSRSpUqOddUhE6cOFG+/PJLJ/4BBxwgXbp0kSZNmkTreA+WLFkiP/30k2g7vKlevXrOGpjea6mOI5GIc0/32ebOneuspdmyZUvZbbfdZJdddkkVwslfuHChfPDBB/L777/L/PnzpXz58lK7dm2Hk+7s/fLLL8vkyZPlkksukY4dO6YVk0IQgAAEIAABCEAAAhCAAAQgAAEIQAAC4SOw1YvIdevWOTJRxZqbdJryW2+95Z5GX/v37y/33Xefc65SUEXkNttsE813DzZs2CDDhg2TQYMGicrCRElHWw4dOlROOumkqOz0lrv66qvlrrvu8l5yjp944gk566yz5KGHHpIrr7zS2UwnvtBLL70kPXv2jLn89ttvS7du3WKuuSdly5aVNWvWRAWnez3Z65QpU+Syyy6TTz75JFkR6d27t9x+++1Sv379hGV0TU5dj/OBBx4QPU6VdE3LDz/8MFUx8iEAAQhAAAIQgAAEIAABCEAAAhCAAARCSmCrF5GrV6+WbbfdNqZ7VDI+88wzcvLJJ8esAanSUteSnDBhgpxzzjlyxRVXxNTTE91t+5hjjnFeS2QmuHDiiSfKyJEjY+6jxfbdd1+ZNGlSiRp33323fPXVV/Lqq6+WyHMv6KhI3ZDGmwYMGCD33HOP91LMcarRnW7hm266SW6++WbZsmWLeynpq47c1JGlBx98cIky/fr1kwcffLDE9WQXWrVq5YzmTJbPdQhAAAIQgAAEIAABCEAAAhCAAAQgAIFwE9jqRaR2j+6ArdOW41Pjxo2lR48ejkjbb7/9nKnH8WW852vXrpX9999ffvjhB+9lUbF54IEHyi+//CJ//PFHTJ6e3Hrrrc7oSW+Gjna89957vZfSPtZRljql2Zt0hOdxxx3nvRRznI6IfOGFF6RXr14x9fREp2E3atRIvvjiixLTvnWatfLQEaBuUtZ67p0irrJS5W6DBg2c8kOGDInZlRwR6dLjFQIQgAAEIAABCEAAAhCAAAQgAAEIFCYBRKTptwsuuEAeffTRlD2o6x/qiMgzzjjDWccwvkK8PNT1Dt944w3p3LmzVK5c2SmuMlIF4+OPPx6trutQ6nTnPfbYI3pNp3d/9tlnztqVd955Z/S6e6DTqVXc6XTr8ePHy7PPPiu6oY62UTffUXHqTTr1/NtvvxVdy1EF4KmnnurNTrnepcZW4bhx48ZoPY2h06+bNm3qXNPRpZ9++qnDR3fmdpOWU4npJhWWBx10kHvqvOq0a51+7SaVujqCU0dfantPO+00ef75591sXiEAAQhAAAIQgAAEIAABCEAAAhCAAAQKjAAi0nTY4sWLnRGL06ZNS6v7tttuO2c6tVecqejTTV80lpvuuOMOueaaa9zT6KuKNRVxOsXaTboZjgrR+DR69Gg5+uijYy7rTt2vv/66HHnkkdHrev8FCxY4IwqjF5Mc6P1VknpTqhGRTz31lCM+3TrKQKehb7/99u6l6Ot7770nRx11VPRcN/RRSelu/KMb7MSL0rp168rpp58uhxxyiDRv3lx23nlnZ0dyFaAqaXXEZLVq1aIxOYAABCAAAQhAAAIQgAAEIAABCEAAAhAoLAKIyH/6S0cg3n///XLdddfFjPpL1p0qA3/99VfZaaednCJTp04VnT7sTbrDdbKdsb/++mvRe7pJRzfqRjTxKV5E1qhRwxl1qDtKB01BRKRKQu+IRJWK8aMa3fbo5jNeyarXdXdtdydtXWuzZs2avpx1EyDdBVyntOuIyj333NMNzysEIAABCEAAAhCAAAQgAAEIQAACEIBAARJARP7Tabr5ik531pF7Ok343XffFZWAidZ0dPv5wgsvdHav1vM333xTunfv7mZl/Kob3OjO1vEpXkQefvjhzgYw8eUyOQ8iIvfaa68Sa19mck8Vr+3atYtW0c2AdPfvdFOfPn2c6fPaRyQIQAACEIAABCAAAQhAAAIQgAAEIACBwiOw1YvIhQsXyvHHHy86XfjGG2+UgQMHxvTizz//LC+99JLcddddsn79+pg8FWsq2DR9+eWXzug9b4FatWp5TxMelytXTurXr++sh9i1a9cSZcIiIrVtH330UUz70nk+nZbdsWNHZ91KfVZv0incgwYNcth7ryc7HjZsmPTt2zdZNtchAAEIQAACEIAABCAAAQhAAAIQgAAEQkxgqxeRuru07oztJp1SrDtfx6cff/xRWrduLTrt2E3Vq1cXd1OWFStWiK6b6E2TJ08WHUmYTQqLiLz22mtF17x0kzIbOXKke5rx68yZMx2Jq9O7dYTmd99950x11818tA80Pz7pWpnvvPNO/GXOIQABCEAAAhCAAAQgAAEIQAACEIAABAqAwFYvIocPHy7//ve/o13VpEkTZ3RjgwYNotf0YM2aNVKnTh3R9Q3dpGVnz57tnjprIM6aNSt6rusbvv/++wnXidTdp0eNGuVM7VaBqZvV7LjjjtG67kFYRKRKx1NOOcVtlrPxzGuvvZZ0Orpu/DN06FBnynr//v3l0ksvjdbVHbG33XZbR0Dqs+tu3u76kW6hH374wdm8Rl/dpBvYJBKUbj6vEIAABCAAAQhAAAIQgAAEIAABCBQWgUWLFkX33yisloe/tbpR8BdffBGqhm71IvLJJ5+Uc889N6ZTdNMZFZS6IYxuNrNkyRK577775Pbbb48pp9OEdbqwm0aMGCFnnnmme+q8aqyrr75a9t57b6lUqZLMnz/fWYPysccek2XLlkXLeqcd6w7YujGMjgzUKd+TJk2Klqtdu7Z069Yteq6bvuju2bp2ZLKkU6p1GrR7v82bN8uzzz4bU/yMM84Q3SBGk74eccQRcuKJJ0bLqDxs27at6FR1N+lUa93pWwWlTi/X0aGar7F1nU19Dk2VK1d2RK67a/b333/vjC514zRq1EgeeOABZ4q8W0bzdFfyMWPGuMWcKd5h+x8o2jgOIAABCEAAAhCAAAQgAAEIQAACEMiYgC6Zp75h+vTpGdelQnICOlBONx7WpQjDlLZ6Eem3aYpujNK4cWOZM2dOiT5TYTZu3LgS07h79+4tTz/9dInyqS589tln0V2oE6036Ve/fPnyjizVHbXj0/Lly6VevXoxU8rjyyQ6Vxm5ePFi8cZMND09Ud34a126dIkRijoC0rtxjVu+efPmsu+++zr3VB66K7k3qazs16+f9xLHEIAABCAAAQhAAAIQgAAEIAABCBQwARWR6gh+++23An6K8DV9xowZ0rNnT0Rk2LrmxRdflNNOOy3jZum044svvrhEPR0VePnll4uOtEw3DRgwQIYMGeJMd9Y6OprQb4Rjorhz585NOLVb/4fW0Yru6MREdZNd028jmjVrFpOtIyt1BKnfbuLeCjqd+tVXX3VGhLrXdT1I/bYjk6TT3PXeuvkNCQIQgAAEIAABCEAAAhCAAAQgAIHiIICIzE0/IiJzwzXrqDrqrmXLltE4uhO0O4U5etFzcOyxx8rgwYOlffv2nqslD8ePH+9MydapxFu2bClRQKd89+rVS3QEpe4q7U26O7dOjU5W11tWN8zRGDpaMFm65JJLnDUodUp2OknXb/zXv/7lrPGYqLyul3nvvffKf/7zH1m5cmWiIs63Gaeeeqr06dNHtI3etHTpUtEp5m6qWLGibNiwwT2Nea1bt67DUdfxrFatWkweJxCAAAQgAAEIQAACEIAABCAAAQgUNgFEZG76DxGZG65Won7wwQfOJii6iKeO1Js6daro7s26NqTKO53arOsY6jRtHV2YSdJdtnVqt26yooJRN7xRCde0aVOpUKFCJqFCWValor65de1LFY76bMpohx128G2vTj/XHza6a7bKXxXCOspSxaZu5KP1dcOgYuHkC4NMCEAAAhCAAAQgAAEIQAACEIDAVkoAEZmbjkdE5oYrUSEAAQhAAAIQgAAECpyAfrG53LOJX4E/Tqk2XzcyrG2++CZBAAIQgAAECoUAIjI3PYWIzA1XokIAAhCAAAQgAAEIFDiBn3/8UX41s1FI2RNoZjb/23PvvbMPRAQIQKCoCIw3G62q7CFlR6DTIYdIze22c4L89ddfMsbs70DKjsD2228vzVu0iG5WM2XSJJk9e3Z2Qaktbc1ygmvXrmWzGt4LEIAABCAAAQhAAAIQiCeAiIwnEvwcERmcHTUhUMwEvjJLY/25YEExP2Jenq3zoYf+T0SuXi0fvv9+Xu5bzDfZ3izv1mK33aIictL338tss7QdKTsC7Q84QNauW4eIzA4jtSEAAQhAAAIQgAAEipEAItJeryIi7bEkEgSKiQAi0k5vIiLtcPRGQUR6adg7RkTaY0kkCEAAAhCAAAQgAIEiI4CItNehiEh7LIkEgWIigIi005uISDscvVEQkV4a9o4RkfZYEgkCEIAABCAAAQhAoMgIICLtdSgi0h5LIkGgmAggIu30JiLSDkdvFESkl4a9Y0SkPZZEggAEIAABCEAAAhAoMgKISHsdioi0x5JIECgmAohIO72JiLTD0RsFEemlYe8YEWmPJZEgAAEIQAACEIAABIqMACLSXociIu2xJBIEiokAItJObyIi7XD0RkFEemnYO0ZE2mNJJAhAAAIQgAAEIACBIiOAiLTXoYhIeyyJBIFiIoCItNObiEg7HL1REJFeGvaOEZH2WBIJAhCAAAQgAAEIQKDICCAi7XUoItIeSyJBoJgIICLt9CYi0g5HbxREpJeGvWNEpD2WRIIABCAAAQhAAAIQKDICiEh7HYqItMeSSBAoJgKISDu9iYi0w9EbBRHppWHvGBFpjyWRIAABCEAAAhCAAASKjAAi0l6HIiLtsSQSBIqJACLSTm8iIu1w9EZBRHpp2DtGRNpjSSQIQAACEIAABCAAgSIjgIi016GISHssiQSBYiKAiLTTm4hIOxy9URCRXhr2jhGR9lgSCQIQgAAEIAABCECgyAggIu11KCLSHksiQaCYCCAi7fQmItIOR28URKSXhr1jRKQ9lkSCAAQgAAEIQAACECgyAohIex2KiLTHkkgQKCYCiEg7vYmItMPRGwUR6aVh7xgRaY8lkSAAAQhAAAIQgAAEiowAItJehyIi7bEkEgSKiQAi0k5vIiLtcPRGQUR6adg7RkTaY0kkCEAAAhCAAAQgAIEiI4CItNehiEh7LIkEgWIigIi005uISDscvVEQkV4a9o4RkfZYEgkCEIAABCAAAQhAoMgIICLtdSgi0h5LIkGgmAggIu30JiLSDkdvFESkl4a9Y0SkPZZEggAEIAABCEAAAhAoMgKISHsdioi0x5JIECgmAohIO72JiLTD0RsFEemlYe8YEWmPJZEgAAEIQCCEBNavXy+bNm2SatWqSZkyZULYQpoEAQiEmQAi0l7vICLtsSQSBIqJACLSTm8iIu1w9EZBRHpp2DtGRNpjSSQIQAACEAgZgccee0wuuOACp1WtW7eWr7/+WsqVKxeyVtIcCEAgzAQQkfZ6BxFpjyWRIFBMBBCRdnoTEWmHozcKItJLw94xItIeSyJBAAIQgEDICHTu3Fk+/fTTaKtmz54tTZo0iZ5zAAEIQCAVAURkKkLp5yMi02dFSQhsTQQQkXZ6GxFph6M3CiLSS8PeMSLSHksiQQACECgoAuPHj5cJEybItGnTZO7cuVKrVi3Zcccd5ZBDDpEaNWrIvffe6zzPkCFDpGHDhgX1bG5j99prL/nhhx/cU+d4jz32iJ5zAAEIQCAVAURkKkLp5yMi02dFSQhsTQQQkXZ6GxFph6M3CiLSS8PeMSLSHksiQQACECgIAlOnTpWrr75a3nrrrbTa+9RTT0nv3r3TKhu2QgceeKB8+eWX0WbNmjVLmjZtGj3nAAIQgEAqAojIVITSz0dEps+KkhDYmgggIu30NiLSDkdvFESkl4a9Y0SkPZZEggAEIBB6Aj///LO0adNG1q1bl3Zb77jjDrnmmmvSLh+mgo888ohcd911smbNGjnooIPk3XffZY3IMHUQbYFAARBARNrrJESkPZZEgkAxEUBE2ulNRKQdjt4oiEgvDXvHiEh7LIkEAQhAINQENm/eLLvuuqvoOoneVLZsWTn44IOdHaU///xz0XLedPPNNzsyz3uNYwhAAAJbCwFEpL2eRkTaY0kkCBQTAUSknd5ERNrh6I2CiPTSsHeMiLTHkkgQgAAEQk1AJaMKR2/q1auXDBs2TGrWrOlcXrx4sTNy8Ndff40W0xGFKiOTpUgk4qwzOWPGjOh6k7qmZMuWLWW33XaTXXbZJVlV5/ratWtl8uTJMaM0GzduLM2aNYvW+/333+Wrr76SL774QqpXry5du3aV/fffXypVqhQt4x78/fffzlqQy5Ytcy85r7pb9n777SfVqlWLuZ7qZMWKFaIjSd3n0/gtWrRwpO4+++wjVapUSRVClNHYsWPlp59+ctbjXLlypWy33XZSv359p01btmyRRx991Fmj86abbpIKFSqkjEkBCEAgPwQQkfY4IyLtsSQSBIqJACLSTm8iIu1w9EZBRHpp2DtGRNpjSSQIQAACoSZwyy23yPXXXx/Txm+++Ubatm0bc23OnDmOQFy/fr1zXTet6d+/f0wZ92TKlCly2WWXySeffOJeKvGq60vefvvtjnSLz/zzzz9FpeOmTZtislTSqUicPn269OnTRz777LOYfD1RCThu3DipXLlyTJ4Kyq+//jrmmnty2223ybXXXuue+r5u2LDBkbSDBg0Sl0V8hR122EGGDh0qJ510kjOiND5fz7WNF154oSirdJLK1o4dO6ZTlDIQgEAeCCAi7UFGRNpjSSQIFBMBRKSd3kRE2uHojYKI9NKwd4yItMeSSBCAAARCTWDw4MGiIs6bjj76aHnsscdK7Ir9zjvvONOxXdGWaFSjjtzTkZI6mi9V0pGL77//fokRmW+//bZ069atRHUtr+s5HnXUUaJCMFlSQalrP7pJRy+qxEyWUo3udOupAD3mmGMcEepe83s98cQTZeTIkSXWn9RRlLpzdyZrcr766qtywgkn+N2OPAhAII8EEJH2YCMi7bEkEgSKiQAi0k5vIiLtcPRGQUR6adg7RkTaY0kkCEAAAqEmoLtfn3POOSXaqGtEHnvssXL44YdL+/btZc8995SKFSuWKOe98MILL4hO645PKiwbNWrkTKHWKczeVLt2bWfKtMpNNy1atMgZKZlIZpYvX77EepVuPff1+++/d0ZGuuf6uvfeeycdfZiOiNSp4jqq8ocffvCGdaZL6y7cv/zyi/zxxx8xeXpy6623io6e9Cbd5GfIkCHRS8paBa5OEdcNdF555RV58cUXo/l6gIiMwcEJBEqdACLSXhcgIu2xJBIEiokAItJObyIi7XD0RkFEemnYO0ZE2mNJJAhAAAKhJjBz5kxn3cb4zWjiG63rE/bs2dOZEt2pU6f4bJk3b56z7uPGjRujeaeeeqoz/bpp06bOtdWrV8unn34qZ5xxhqxatSqmnEpMb9LRhyr9Lr/8cmf9RG+eHusGO5deeqnUqFFDnn/+eWdkpa73eMEFF8j9998fX9wRfDo1W6d2v/zyy/LSSy9Fy6QjIq+88krR6ehuUiH6xhtvSOfOnaPTwFVGapnHH3/cLeZMzdbp13vssUf02mGHHSZjxoyJnjdv3txZRzN6wRzo9Hh9FpWqmnQdyVatWjnH/AMBCJQ+AUSkvT5ARNpjSSQIFBMBRKSd3kRE2uHojYKI9NKwd4yItMeSSBCAAARCT0DXM9Q1HRONQEzUeBWJjzzyiFStWjWaHT+yUqdCq0zcfvvto2Xcg/fee8+ZXu2eaxyVlGXKlHEvRV/btGkjEyZMiJ7rwfHHHy/PPvtszAYzKja1vm5akyrdcccdMWtCphKRuqlMvXr1RDftcZPG0JGN8UlHfOq0cN1Ex00PP/ywIxXdc51i/frrr7unzqtOh9cp5zoqUsWtjhBVOfzll186mwbpiE4SBCAQHgKISHt9gYi0x5JIECgmAohIO72JiLTD0RsFEemlYe8YEWmPJZEgAAEIFASBSZMmycUXX+yIr3QarOLyvvvuixY9/fTTnZGJ7gWVgt51Gt3r+qqb0HhFnV7TdRMTrTkZLyL79u0rDzzwQIl1FzVGuilTETl16tQSoxG1Xcl2xtaRl941LHXq+xNPPBFt3p133ikDBw6Mnic60KnsOtqyS5cucsopp0RHXSYqyzUIQCD/BBCR9pgjIu2xJBIEiokAItJObyIi7XD0RkFEemnYO0ZE2mNJJAhAAAKhJ6Aj/tzRiD/++KPoZjG6iYzu1JxsyraW1520dXdrTbr5Svz6iZk8uMq7du3alagSLyJt7B6dqYh88803pXv37iXalu4F3eBGmbrpr7/+ctbd/Pnnn91Lvq9169YVbYOu1UmCAATCQQARaa8fEJH2WBIJAsVEABFppzcRkXY4eqMgIr007B0jIu2xJBIEIACBUBN48MEHnWnKKhR1V+yddtop2l4VZrqW4d13351wpKROsT7iiCOc8l27dpWPPvooWlcPatWqFXOe6ESnZXfs2FFGjBiRcJRjGESkTo/WDWm8KZ1n0zUr69evL/fcc48oH2/StSp1d3HdnTyd3bN1qraOGvVOh/fG4xgCEMgvAUSkPd6ISHssiQSBYiKAiLTTm4hIOxy9URCRXhr2jhGR9lgSCQIQgECoCeimL7qWoyZdo/Ddd98t0V4dManTi//73//G5KlEO++885xr1157rehIQzf16NFDRo4c6Z4Gfg2DiFyxYoXompfeNHnyZGcUqPdausc6bVsFr4rKgw8+WL777jtnMxrtB42roz69U7vduOPHj2dUpAuDVwiUMgFEpL0OQETaY0kkCBQTAUSknd5ERNrh6I2CiPTSsHeMiLTHkkgQgAAEQk1g2223dTaKcRt51113yYABA9zT6OuQIUNKbM6iO13rztiaVDrqWoZu0qnbr732WtIpzdOmTRPdJEenHPfv39/ZAdut630Ng4jU9uj6lbNmzYo2TUdI6vT1ROtE6s7ho0aNkoceesgRmLpZzY477hite9ttt8ngwYOdc2WtzL1p7dq1zmZAV1xxhfeyw1gFLwkCECh9AohIe32AiLTHkkgQKCYCiEg7vYmItMPRGwUR6aVh7xgRaY8lkSAAAQiEmoDuaq3ThL1JRzaqYGzSpInoLtBTpkyRww8/XJYsWeItJnPnzo0KNpVnbdu2Fe+6hzri74ILLnAEpU5R1p2tNV93vP7www9FR1pqqly5sqxZsya6TqVKShV5M2fOFN2N25t01KZOU9akslOP+/XrF73mLavHutO1ClN9BndXcBWIf/zxR7ToHnvs4bRdL2hMbatu3OPeR6/r1PEzzzxTD6OpVatWcvXVV4vuaF2pUiWZP3++81w6UtTLdNiwYaKb7LjppJNOkldffdU9dUaV6jRt7/3GjRvnTFmPFjIH33//veyzzz7eSxxDAAKlRAARaQ88ItIeSyJBoJgIICLt9CYi0g5HbxREpJeGvWNEpD2WRIIABCAQagIq3f7888+EbdR1EHWKsErC+HT00Uc7a0p6r+tGN61bt3Z2xfZeT3WsO0PrVGU3JVpv0s1L9HrDDTfIjTfemChLrr/+ernlllsS5vldTBSzd+/e8vTTT/tVS5j32Wefxewg3q1bt5jNa7RSxYoVpUOHDqJT5efNm+est+mdnl29enVHBFeoUCHhPbgIAQjklwAi0h5vRKQ9lkSCQDERQETa6U1EpB2O3iiISC8Ne8eISHssiQQBCEAg1ASaNm3q7H6dSSN33nln0V2ua9euXaKabmBz7rnnxow4LFHIc0Fj6ehAHVXopgMOOEB0PcR0U58+fWT48OEJi+v05v/85z8J8/wunn322fLkk0/GFNERnZdffnmJ6zGF4k506rVOa9eRlm467rjj5K233nJPU76WLVtWPv74Y+nUqVPKshSAAATyQwARaY8zItIeSyJBoJgIICLt9CYi0g5HbxREpJeGvWNEpD2WRIIABCAQagI63VinHWvS9SJ1p2x3CnN8w3XDFl3bUDeo0RF6yZKOoLz33nsdAbhy5cqExdq1a+dM/1aJGB9L15vUe6j480sq9/bbbz9nrcn9998/YdFJkyY506JVbLpTwRMW/OeixtS23X///Uk3htFYOiVbN5VJxErXjezVq5foCErdETw+qZzUnbQ16QhHXVMyWTrhhBOce7Vv3z5ZEa5DAAKlQECXo0hnx/tSaFrB3VKXtqhatWrBtZsGQwACuSWwzvyc1SWCSNkRqGz+LtXlkjTp361rE8x0yu4OW1/tsobn6tWrnc8Mv/32m2xYvz7jGWFbH7XUT1zJLNc1Z84c6dmzp0ycODF1hTyWKGM+SP7/RcXyeFNuBQEIQKBYCei07HfeeccRYt27d3dk3YQJE5zpwSol9QOibrTSqFEj0dGTep5JWrp0qcyYMcNZP1GFo46i1Ong3vUQM4kXprKbNm1yflnqWpbrzR8gderUcZ5POflNoV6+fLl88MEH0rhxY9HRn8rol19+Eb2u4lY5NWzY0OFet27dMD0ybYEABCAAAQhAAAIQgMBWT2DhwoVREbnVw7AIQD83IiItAiUUBCAAAQhAAAIQgAAEIAABCEAAAhCAQGETQETmpv8QkbnhSlQIQAACEIAABCAAAQhAAAIQgAAEIACBAiWAiMxNxyEic8OVqBCAAAQgAAEIQAACEIAABCAAAQhAAAIFSgARmZuOQ0TmhitRIQABCEAAAhCAAAQgAAEIQAACEIAABAqUACIyNx2HiMwNV6JCAAIQgAAEIAABCEAAAhCAAAQgAAEIFCgBRGRuOg4RmRuuRM2AwIIFC2SD2YmWlD2BuvXqSZUqVbIPRAQIQAACEAg1gem//ipr1q4NdRsLpXE777yzbFujRsLmrjWM169blzCPi5kRqFS5Mn+jZIaM0iEgsGL5cpk8aVIIWlLYTdh3v/1k2223TfgQy5ctkw0bNiTM42L6BLavXVu22WYbp8Lff/8tixctSr8yJRMSqFChgmzavDm6a/aqlStF/y4gZUeg5nbbybx589g1OzuM1M6WwNhPPpFlS5dmG4b6hkD7Dh2kQYMGsIAABCAAgSIn8OnHH4t+eCNlT2D/jh2lfv36CQMtNxJCP3iQsidQ3UiIWrVqZR+ICBDII4ElixfL52PH5vGOxXmrTl26JP3/f9HChbKOL3yy7nj9PVahYkUnzqZNm+SP+fOzjrm1B6hYqZKUKVMmKiLVWaxevXprx5L189epW1f++OMPRGTWJAmQFQFEZFb4YiojImNwcAIBCECgaAkgIu11LSLSHku/SIhIPzrkhZUAItJOzyAi7XD0i4KI9KMTLA8RGYxbqlqIyFSEyM8LAUSkPcyISHssiQQBCEAgzAQQkfZ6BxFpj6VfJESkHx3ywkoAEWmnZxCRdjj6RUFE+tEJloeIDMYtVS1EZCpC5OeFACLSHmZEpD2WRIIABCAQZgKISHu9g4i0x9IvEiLSjw55YSWAiLTTM4hIOxz9oiAi/egEy0NEBuOWqhYiMhUh8vNCABFpDzMi0h5LIkEAAhAIMwFEpL3eQUTaY+kXCRHpR4e8sBJARNrpGUSkHY5+URCRfnSC5SEig3FLVQsRmYoQ+XkhgIi0hxkRaY8lkSAAAQiEmQAi0l7vICLtsfSLhIj0o0NeWAkgIu30DCLSDke/KIhIPzrB8hCRwbilqoWITEWI/LwQQETaw4yItMeSSBCAAATCTAARaa93EJH2WPpFQkT60SEvrAQQkXZ6BhFph6NfFESkH51geYjIYNxS1UJEpiJEfl4IICLtYUZE2mNJJAhAAAJhJoCItNc7iEh7LP0iISL96JAXVgKISDs9g4i0w9EvCiLSj06wPERkMG6paiEiUxEiPy8EEJH2MCMi7bEkEgQgAIEwE0BE2usdRKQ9ln6REJF+dMgLK4FCEJHjvvpKRr38sjRs2FD22XtvOezQQ0OHExGZ+y5BRNpnjIi0z1QjIiJzw5WoGRJARGYIzKc4ItIHDlkQgAAEiohA2EXkxo0bZcjdd4u+Nm7cWLofd5zUrVMnlD2AiMxPtyAi88OZu9glEHYRufqv1XL+hX1l/fr1zoNXrlxZnnvmGbsQLERDRFqAmCIEIjIFoADZiMgA0NKogohMAxJFck8AEWmPMSLSHksiljbnyAAAM4NJREFUQQACEAgzgbCLyJdfeUWef/HFKMILzz9fuh52WPQ8TAeIyPz0BiIyP5y5i10CYReRjz/5pLw7enT0oStVqiTPP/ts9DwsB4jI3PcEItI+Y0SkfaYaERGZG65EzZAAIjJDYD7FEZE+cMiCAAQgUEQEwiwiFy9ZIhddfLFs/vvvKPHzzztPjjj88Oh5mA4QkfnpDURkfjhzF7sEwi4iT+rZUyKRiJQtW1a2bNkiiEi7/V9I0RCR9nsLEWmfqUZEROaGK1EzJICIzBCYT3FEpA8csiAAAQgUEYEwi8h77r1Xxo0fL+XLlYvKSERkEb35Aj4KIjIgOKqVKoEwi8gffvxRbrjpJtm9VSupW7eufPLpp4jIUn23lO7NEZH2+SMi7TPViIjI3HAlaoYEEJEZAvMpjoj0gUMWBCAAgSIiEFYR6X4wVtR9L7hAHnrkEYc6IrKI3nwBHwURGRAc1UqVQFhF5ObNm+Wy/v1lwZ9/yt133ulMz/54KxORC82zL1q0SP42I0F1RGiDBg2kdu3aMe+Xv83I/Hm//y7LV6yIuV5hm22kRcuWUs58YWYzlWabbInIDRs2yJw5c5x1R3W0rY6ybd68eQlWq1aulLlz50a/cHQ51t9hB6ln/rOZSqtNiEibvfi/WIjI/7HgqBQJICLtwUdE2mNJJAhAAAJhJhBGEel+MP5jwQJp26aNnN27t/Q1U7Q1ISLD/G7KT9sQkfnhzF3sEgiriHzHrAv5hFkfsvMhh0i/iy6SB4cNk61JRN5rRt4PffDBmM6uXr26vP/ee46QdDOuv+EGeSbJ5j0Xmi/Lrr76ardo1q+l3SYbInLpsmXSoUMHUfHnTRf17SsDBgyIXlpgfs93PPBAZzmA6MV/DlQKT5wwQWrWrBmfFei8NNuEiAzUZSkrISJTIqJAPgggIu1RRkTaY0kkCEAAAmEmEEYR6X4w1g8hD9x3n5Q1I00QkWF+F+W3bYjI/PLmbnYIhFFErjAj0S4wYmjjxo0y3Iw633777bc6EfnQQw/JXXffXaKTjz7qKNE8N911113y0MMPu6cxr2effbbccP31MdeyOSntNtkQkatXrZJ2++8v69ati0FRpkwZeeftt6WVWQZA0zIjLNu1by/6BWR80r8Bxo8bJ3Xr1YvPCnRemm1CRAbqspSVEJEpEVEgHwQQkfYoIyLtsSQSBCAAgTATCJuI9H4wPvaYY+QcMxryz4ULEZFhfhPluW2IyDwD53ZWCIRRRA4zom3MJ59IhQoV5MXnnnOec2sbEfm3EWDTZ8yQadOmySWXXhrT1y88/7wccMABzrVNRtZO+eEHZ4Tfm2++KS++9JJz/Z233nKmG1eoWDGmbjYnpd0mGyJSn3+xme4+b/48ue//7pfPPvssiqS9EY8vvvCCqJTU9LuZ8j5v3jxns6Rep5/uXOvVq5dc2q+f9anZpdUmRKTTrdb/QURaR0rAIAQQkUGoJa6DiEzMhasQgAAEio1A2ESk94OxjtDRKXKIyGJ712X3PIjI7PhRu3QIhE1ETp8+Xa6+9loHhi5/0c188aNpaxORzkObf1SGHXTwwe6p87qrWc9w9LvvSrny5WOuP/roo3KHWU9T05zZs2PyvCcqL3/66SeZNGmSLFm6VFaaEagaq0njxs66kq7k9NbxHueiTd74yY5tiUg3/jXXXBMVt+61h40EP8qMOo1PTZo2dS4NNHXOP//8+Ozoua6hOfH772WGkcirzOjLv/76y9loqUmTJnJgx47OJibRwgkOctGmBLeJXkJERlFYPUBEWsVJsKAEEJFByZWsh4gsyYQrEIAABIqRQJhEZLIPxojIYnznBX8mRGRwdtQsPQJhEpG6cchVRvTMnDVLatWqJQ+bNRK3MZuuaEJEiuy1114yZcoUh8ftt94q7ig954L5Jx0R+bEZaXr55Zc78tGtF/+qwuxuM+W7vtkcJ1HyikgbbUp0j0TXciUidUd2nYKt07H1eKzZFKly5coxTUglInXNycsuu0xGmzU8k6VKZnTqDWZNz9NOOy1ZEXFFpI02Jb2JJwMR6YFh8RARaREmoYITQEQGZxdfExEZT4RzCEAAAsVJICwi0u+DMSKyON97QZ8KERmUHPVKk0CYROQnRgANNZvSaBpwxRVygFnLz02ISBEdrTfECELd8blKlSoy7ssvYzZMSSUidYftPY3MXLt2rYvVedVYKuJ0TU43HWxGYT7z9NPuacyrV0Rm26aYwClOciUiW7RoIX0vvFAuNSJR0xVmt/Z+Zvq1N6USkSNGjJDB113nreLsdF6jRg1ZYXY0178l3PTyyy9Lm/32c09jXl0RaaNNMYGTnCAik4DJ8jIiMkuAVLdDABFph6NGQUTaY0kkCEAAAmEmEBYR6ffBGBEZ5ndQ/tuGiMw/c+6YPYEwicgrzK7Fs41k081ArjW7Pbtr9elTvmbWP/zxxx+dB77I7Aata0j2u/hiqb/DDtlDsBChU5cuzijORKEWmfWE4zdHSVQu0TWv9Hv88cdlGzOF+iwzZV1T/GY0qUSk1jndrHU47quvpINZY/KEE05whNhOZtqwps8//1wuMkxXr17tnL/04oui6ybGJ9ttio+f7DyXIlKnup908snyvZlWraNwdVRkA8+I0FQicrxhevqZZ0pVI3WVsYpcHS1atWpVWb58udx+++0yyghITfsbwa5rUSZKXhGZbZsSxY+/hoiMJ2LnHBFphyNRsiSAiMwSoKc6ItIDg0MIQAACRUwgLCLS74PxMvPhYtg/u5V27NDB2VhBd3ftdeqpoeqZ/c00O/0AlyjpB6RVZn0wUvYEEJHZMyRC/gmESUSe1LNnzMixVDQGDxworVu3TlUsL/n5EpGHHXqonHvuuTLm448dYfve6NGy6667Os+YjojUUZHr1693BFkiMCNHjpSrjATWdOstt8gZZ5xRoli8iMy2TSVukORCLkXk+2ZK9eTJk6X78cc7d+9+3HFy//33R1uSSkRqwTVmPcjKRkSqSI9PG83U7U6dO8uCBQukUqVK8svUqfFFnHOviLTRpoQ38VxERHpgWDxERFqESajgBBCRwdnF10RExhPhHAIQgEBxEgiLiMz0g3FTM7Lk3rvvDlWnICLz0x2IyPxw5i52CYRJRPYyI8pUkqWTdLTkE489FjM1OZ16uSqTTxE526yhedjhh4tKRV3PUacFa0pHRLrPP3fuXGdH6IVmtOZSs2FNFbMm4nZmXc5y5crJv//ZjOW8Pn1k0KBBbpXoayIRaaNN0RskOci1iNTbXm0k7EtGxmoaNWqUtG3TxjlOR0RqQR35qjudLzQ7c+vGNTrlXTe3a9SokTxkvrh0d+meOGFCwhG08SJSY2bbJo2RLCEik5HJ7joiMjt+1LZEABFpCaQJg4i0x5JIEIAABMJMICwiMpMPxsrz2KOPlnPOPjtUaBGR+ekORGR+OHMXuwTCJCJ/++03UTGWKD1npgmrAKtgps32N2v56WY2zZo1S1S0VK7lU0TqAw4ZMkQefuQR51mHDx8uXQ87LC0RqSLsEVNPp2enSmeYKca3mk1x4lMiEallgrYpPn6y83yIyMVGIB5oplXr5jO77767vPnGG46cTSUil5qNbnRNzeFm+nz8GpyJnuerceMSzlRIJCKDtinRfeOvISLjidg5R0Ta4UiULAkgIrME6KmOiPTA4BACEIBAERMIi4j0+2C8wHxgfvqZZ5xe6Gqmy7Vt21Z2a9ky6ZS30uouRGR+yCMi88OZu9glECYR6fdkbFYjomtE6jRoTatXrZKOBx0kq8yrjrYb89FH8t///lfuuPNOJ3/O7NnOq/cfFZa3mbUKvalChQrRdTYXmBF83g1rMhWRQdrkbUuq43yISG2Dl5PuHt6jRw/xE5E68rGHWVZgrhHlbtIRuzVr1pTatWs7I051R25vykREar1M2+S9l98xItKPTvA8RGRwdtS0SAARaQ8mItIeSyJBAAIQCDOBsIhIP0ZsVuNHZ+vLQ0RufX1eDE8cdhH5oRFsa81010/N5iG/menE5XWzln/9S5rutJO0atUqNF2Q7xGR+uC6+/KVZoMfTQOvucZ5TSYiVUx2NhLT3b35NLOW8ZlmKryX4d9mGvF3ZsrwKf+sc5ypiNQGZNImp8EZ/JMvEamjIQ/r2tUZgbutmVb9xRdfyF577+20VDmf/8/Udbfp2gf63Jrq1q0r15q1S3WEatVq1dwisnjxYrnp5pvl7bffdq5lKiIzbVP0xikOEJEpAAXMRkQGBEc1uwQQkfZ4IiLtsSQSBCAAgTATCLOI/Omnn2SGWaNLR6K89vrrDsb27drJvvvsI+3Ma80aNUKFlhGR+ekORGR+OHMXuwTCLCJVmuk6vYmSjjh70owQrLHttomy836tNESkrhF5vNlc5Qezm7iObDzVCMRn/hmlHz8i8qGHHpK7/lm/+EKz67iuO5go6XqR+/2zLmIQEZlJmxLd3+9avkSktuFjsxnQOWZTIE0qHnX9TU3xInLTxo3SYrfdZMuWLVLZrLP58ZgxCadca91bzOY/Tzz5pB5KpiJS66TbJi2bbkJEpksqs3KIyMx4UTpHBBCR9sAiIu2xJBIEIACBMBMIq4jUD8anmnWzNm3alBBft2OOkbN7906YV1oXEZH5IY+IzA9n7mKXQJhFpD5pDyPXVG7Fp52bNpUhd9zhrN8Xn1ca56UhIvU5J06cKCeedFKJR44XkYMHD5YRzz3nlHvt1Vdk330T7zauIvP6G25wygURkVox3TY5N8ngn3yKSG3WWeZ3+dixY51dsFU0aooXkboL9gEdOjh5nTp1kqfN9PhESXfU7tyliywyIyM1BRGRWi+dNmm5dBMiMl1SmZVDRGbGi9I5IoCItAcWEWmPJZEgAAEIhJlAWEWkMrvWfKD75ddfS+DTESl9zciJg81C92FKiMj89AYiMj+cuYtdAmEXkXafNnfRSktE6hNdccUV8sqrr8Y8XLyIHDp0qNz7n/84ZS695BK5/PLLY8rr1N+nzWYrOrXbnb4dVERq4HTaFNOANE7yLSJnzJghhx9xhDPa0W1evIhUbruZJQJUVOru2GM+/FDq1qvnFndep0+fLhf36ye/ev5uCCoi02lTzM1TnCAiUwAKmI2IDAiOanYJICLt8URE2mNJJAhAAAJhJhBmERlmbonahohMRMX+NUSkfaZEzD0BRKQdxrkQkT/+8IO88+670d2xe5x8srQ0G6JtY3YOP8ysQdigQQOn8X+azVIONqPxvBvNxIvIz81u2WeedVb0YVu3bi1HGsm2/fbby8yZM+W555+XlStXRvP1YB+z3Mjx3bvLzjvvHP2CzWabYm6WxoktEblmzRpnmvMQsxHNvHnzZLvttpOLL7rIaYFu/HOE4eKm2267zdkJ2z2PF5F6/fgTTpBJkyY5RapUqSLHdesm7du3lxUrVsjnn38uH3/yiVs9+nqJEZN6r86HHCIqrWy3KXqjFAeIyBSAAmYjIgOCo5pdAohIezwRkfZYEgkCEIBAmAkgIu31DiLSHku/SIhIPzrkhZUAItJOz+RCRO5rZOHy5csTNvBkIyXv+WfNRy3w8MMPi4o1N8WLSL1+4YUXyuj33nOLJHzVuLqhyvr166P5ZcuWlW+/+caRlrbbFL1JGge2ROTLo0bJlVddlfSO+tl9pyZNnPxVRs7q7uSrV692zhOJyB+mTJHuRka607cTBdbds9u1bSvvjh4dk31enz4yaNAgsd2mmJv4nCAifeBkkYWIzAIeVe0RQETaY4mItMeSSBCAAATCTAARaa93EJH2WPpFQkT60SEvrAQQkXZ6Jhci8iojy0YaaRafdATfVWan5tNOOy2apeLwaLNG8WyzO7aOmJzmmQbsFtJ1Ch8cNkwefeyxGGmmonGP3Xd3NrDp2LGj6DTu+/7v/6Jl9tpzT0eUVahYUWy3yW1bOq+2ROTPZsO5Uww7Vy669y5Xrpwz4nTEs886oyTd66+bTekuM1PZdYOkG66/XnonWAf6GyNqdR3OaWYatjfprts9evSQyy691JG7xxx7bHSdyEqG55AhQ6S7GXWaizZ525HsGBGZjEx21xGR2fGjtiUCiEhLIE0YRKQ9lkSCAAQgEGYCiEh7vYOItMfSLxIi0o8OeWElgIi00zO5EJGZtkxHTy5ftkyqVatWYp1Cb6yVZsqwCss/Fy6URg0bSrPmzaVSpUreItaO021TOje0JSLTuVd8mV9++UWqVq0qO5j1H7cx60EnSrqp0u9z58qc335zslu0aJF0B+1E9TO9lk6bUsVERKYiFCwfERmMG7UsE0BE2gOKiLTHkkgQgAAEwkwAEWmvdxCR9lj6RUJE+tEhL6wEEJF2eiYMItLOk4Q3SmmKyPBSya5liMjs+CWrjYhMRobreSWAiLSHGxFpjyWRIAABCISZACLSXu8gIu2x9IuEiPSjQ15YCSAi7fQMItIOR78oiEg/OsHyEJHBuKWqhYhMRYj8vBBARNrDjIi0x5JIEIAABMJMABFpr3cQkfZY+kVCRPrRIS+sBBCRdnoGEWmHo18URKQfnWB5iMhg3FLVQkSmIkR+XgggIu1hRkTaY0kkCEAAAmEmgIi01zuISHss/SIhIv3okBdWAohIOz2DiLTD0S8KItKPTrA8RGQwbqlqISJTESI/LwQQkfYwIyLtsSQSBCAAgTATQETa6x1EpD2WfpEQkX50yAsrAUSknZ5BRNrh6BcFEelHJ1geIjIYt1S1EJGpCJGfFwKISHuYEZH2WBIJAhCAQJgJICLt9Q4i0h5Lv0iISD865IWVwIYNG2TJokVhbV7BtKuO2U25QpLdlNevXy+6ozIpOwKVzc7eZcuVc4Js2bJF1q1bl11Aaku5smVl5apV0q5dO/nN7Pa90fw82LR5M2SyJKC70OvO9D179pSJEydmGc1u9TIRk+yGJFpYCSxbtkw2bdwY1uYVVLtq1qwp+s0NCQIQgAAEipvARvN7M2I+aJCyJ1B+m22k3D8f3uKj6Yc5/iSNpxLsvEyZMlLWfKgjQQACEIAABAqFwMKFC6MislDaXAjtnDFjBiKyEDqKNkIAAhCAAAQgAAEIQAACEIAABCAAAQjkhwAiMjecEZG54UpUCEAAAhAoBQI6Smz2rFmlcOfiu2VZM3qpeYsWxfdgPBEEIAABCEAgAwKMis4AVpKiOiKaBIFCJICIzE2vISJzw5WoEIAABCBQCgT++usv+fC990rhzsV3y23MdNVju3cvvgcrkidabdYs2syaWlZ6s1q1aqLv90RJ1y3bzHpQidBkfK18+fJJp8BnHIwKEMgTATarsQOazWrscPSLwmY1fnSC5bFZTTBuqWqxWU0qQuRDAAIQgEBBEUBE2usuRKQ9lrmIxGY19qiyWY09ln6R2KzGjw55YSWAiLTTM4hIOxz9oiAi/egEy0NEBuOWqhYiMhUh8iEAAQhAoKAIICLtdRci0h7LXERCRNqjioi0x9IvEiLSjw55YSWAiLTTM4hIOxz9oiAi/egEy0NEBuOWqhYiMhUh8iEAAQhAoKAIICLtdRci0h7LXERCRNqjioi0x9IvEiLSjw55YSWAiLTTM4hIOxz9oiAi/egEy0NEBuOWqhYi0ofQli1bZOpPP/mUICsTAi1btUq6LhDrXGVC0r+s3zpX/jXJhUBxEEBE2utHRKQ9lrmIhIi0RxURaY+lXyREpB8d8sJKABFpp2cQkXY4+kVBRPrRCZaHiAzGLVUtRKQPIV2c/M3XXvMpQVYmBLqZDQ/KJ1kI/s8FC2TDhg2ZhKNsEgL6P3WVKlWS5HIZAsVPABFpr48RkfZY5iISItIeVUSkPZZ+kRCRfnTICysBRKSdnkFE2uHoFwUR6UcnWB4iMhi3VLUQkT6EEJE+cAJkISIDQAtQBREZABpViooAItJedyIi7bHMRSREpD2qiEh7LP0iISL96JAXVgKISDs9g4i0w9EvCiLSj06wPERkMG6paiEifQghIn3gBMhCRAaAFqAKIjIANKoUFQFEpL3uRETaY5mLSIhIe1QRkfZY+kVCRPrRIS+sBBCRdnoGEWmHo18URKQfnWB5iMhg3FLVQkT6EEJE+sAJkIWIDAAtQBVEZABoVCkqAohIe92JiLTHMheREJH2qCIi7bH0i4SI9KNDXlgJICLt9Awi0g5HvyiISD86wfIQkcG4paqFiPQhhIj0gRMgCxEZAFqAKojIANCoUlQEEJH2uhMRaY9lLiIhIu1RRUTaY+kXCRHpR4e8sBIIm4icP3++zPntN9li9jNIluqaNeNbtGiRLLtUriMic48dEWmfMSLSPlONiIj04YqI9IETIAsRGQBagCqIyADQqFJUBBCR9roTEWmPZS4ihUlEpvPBWDes23OP3aVateq5wJFVTERkVvjSroyITBsVBUNEIGwi8pRevWTTpk0pCd13zz2y0047pSyXrwKIyNyTRkTaZ4yItM9UIyIifbgiIn3gBMhCRAaAFqAKIjIANKoUFQFEpL3uRETaY5mLSGESkel+MD5g//1lwBVX5AJHVjERkVnhS7syIjJtVBQMEYGwicgTe/RIi87Q+++Xhg0apFU2H4UQkbmnjIi0zxgRaZ+pRkRE+nBFRPrACZCFiAwALUAVRGQAaFQpKgKISHvdiYi0xzIXkcIkItP9YLx/+/Zy1ZVX5gJHVjERkVnhS7syIjJtVBQMEYGwisj9WreWIw4/vASpMuZKox13lHpmenaYEiIy972BiLTPGBFpn6lGRET6cEVE+sAJkIWIDAAtQBVEZABoVCkqAohIe92JiLTHMheRwigik30w1uevUrmyNGvWTCpUqJALHFnFRERmhS/tyojItFFRMEQEwioie5x0kpx26qkhIuXfFESkPx8buYhIGxRjYyAiY3nYOkNE+pAMq4gs1HWYEJE+bzaLWYhIizAJVZAEEJH2ug0RaY9lLiKFUUQW2gdjt18QkS6J3L4iInPLl+i5IYCItMMVEWmHo18UWyJyw4YNMmfOHFm/fr1EIhGpVKmSNG/eXMqVKxdz+1UrV8rcuXNlc9zGSfV32EHqmf9sptJqEyLSZi/+LxYi8n8sShyFVUQW6jpMiMgSb7GcXEBE5gQrQQuIACLSXmchIu2xzEUkRKQ9qohIeyz9IiEi/eiQF1YCiEg7PYOItMPRL4oNEbl02TLp0KGDqPjzpov69pUBAwZELy1YsEA6HnigbNmyJXrNPShbtqxMnDBBatas6V7K6rU024SIzKrrklZGRCZFIxJWEVmo6zAhIn3ebBazEJEWYRKqIAkgIu11GyLSHstcREJE2qOKiLTH0i8SItKPDnlhJRBWEbnvPvtIi113le8nTZK169ZJkyZNZJedd5bOh3SS6tWqhw4nIjL3XWJDRK5etUramY3l1pn3lDeVKVNG3nn7bWnVqpVzeZkRlu3Mus+bN2/2FnOOVUSOHzdO6tarVyIvyIXSbBMiMkiPpa6DiPRhFHYRWWjrMCEifd5sFrMQkRZhEqogCSAi7XUbItIey1xECqOIdD8YT5s+XRYvWSI1tt3WrAu5i+y9516y99575wKDlZiISCsYUwZBRKZERIEQEgiriEyGqmrVqnLFZZfJPkZUhikhInPfGzZEpLZy8aJFMm/+PLnv/+6Xzz77LNrw9kY8vvjCC6JSUtPvv/8u8+bNc6Zv9zr9dOdar1695NJ+/axPzS6tNiEinW61/g8i0gdp2EVkoa3DhIj0ebNZzEJEWoRJqIIkgIi0122ISHsscxEpjCLS7zm7dO4s5/TuLVWqVPErVip5iMj8YEdE5oczd7FLIGwisofZoEY/p7pJB6foWn6/TpsWHZ2mouiOW2+VXc2IybAkRGTue8KWiHRbes0118iLL73knjqvDz/0kBx11FEx1/SkSdOmzrWBps75559fIt+9sPDPP2Xi99/LjBkzZJUZfal/t9c1O7w3MSN6D+zY0dlN2S2b6DUXbUp0H/caItIlYfcVEenDExHpAydAFiIyALQAVRCRAaBRpagIICLtdSci0h7LXEQKk4iM/2C84447SsMGDWTGzJmyxIyMdFPrffeVwdde656G5hURmZ+uQETmhzN3sUsgbCLy7nvvdTYIOeH446XNfvvJtmbkuaZFZhTbffff7whJPW9gfgbfZ8puU768npZ6QkTmvgtyJSJVFOoUbJ2OrcdjP/1UKleuHPNAqUSkrjl5mRmpO/q992LqeU8qVawoN9xwg5x22mneyzHHroi00aaYwElOEJFJwGR5GRHpAxAR6QMnQBYiMgC0AFUQkQGgUaWoCCAi7XUnItIey1xECpOITPbBWHfbfP+DD+TxJ5+MLmjf/9JL5UCzwH2YEiIyP72BiMwPZ+5il0DYRKTf063+a7VceNHFsnbtWqfYDYMHh2ZZDESkX8/ZycuViGzRooX0vfBCudSIRE1X9O8v/cz0a29KJSJHjBghg6+7zltFdC3JGjVqyIoVK5zp3W7myy+/7Eh299z76opIG23yxk12jIhMRia764hIH35hF5GFtg4TItLnzWYxCxFpESahCpIAItJetyEi7bHMRaQwichUz/fKq6/Kc2ZdKU3NdtlF7rrzzlRV8pqPiMwPbkRkfjhzF7sECklE6pO/+tprMuL55x0IZ5vlMLodc4xdIAGjISIDgsugWi5F5Oh335WTTj5ZvjfTqvXvQx0VqaNu3ZRKRI7/6is5/cwzpapZnuV0s57kwQcfLHvttZfomqbLly+X22+/XUYZAalpf7NZjq5FmSh5RWS2bUoUP/4aIjKeiJ1zRKQPx7CLSJ+mSxjXYUJE+vWYvTxEpD2WRCpMAohIe/2GiLTHMheRCklEbtq0SXqZDyD6t5W+r1587rnoYve5YJNpTERkpsSClUdEBuNGrdIlUGgi8ttvv5U77rrLgdb10EPlwgsuKF2A/9wdEZn7bsiliHzfTKmePHmydDdLAmjqftxxcr9ZCsBNqUSklltj1oOsbESkjoSMTxvN1O1OZi3pBQsWSKVKleSXqVPjizjnXhFpo00Jb+K5iIj0wLB4iIj0gRlWEVmo6zAhIn3ebBazEJEWYRKqIAkgIu11GyLSHstcRCokEanPf6mZyqU7bGp67OGHpXbt2s5xGP5BROanFxCR+eHMXewSKDQR+YkZqTZ02DAHgq4jeeY/uxnbpZJ5NERk5swyrZFrEantufrqq+WlkSOdpo0aNUratmnjHKcjIrXgunXrZJrZWGmhWdNUN67RtSerV68ujRo1kofM3wbuLt0TJ0yQWrVqObG9/8SLSM3Ltk3e+PHHiMh4InbOEZE+HMMqIgt1HSZEpM+bzWIWItIiTEIVJAFEpL1uQ0TaY5mLSIUmInufc46sWr3aQfHsf//rTMfKBZcgMRGRQahlXgcRmTkzapQ+gUITkfeYDWrGjR/vgBtwxRVygJnmGoaEiMx9L+RDRC42AvFAM61aN5/Zfffd5c033pBy5cql3DV7qdno5pmnn5bhjz8eXcPUj8hX48aJPk98SiQig7YpPnaic0RkIirZX0NE+jAMq4j0abKTFdZ1mBCRqXrOTj4i0g5HohQuAUSkvb5DRNpjmYtIhSQi586dK5eZD8SadthhB3lo6NBcIAkcExEZGF1GFRGRGeGicEgIhElE6iY0GzdulJo1ayak8/kXXzg7Z2umTn995KGHpPb22ycsm++LiMjcE8+HiNSnGD58uNxm1nTUdLdZBqBHjx6+IlJHPvbo2VPm/jMrQuuVKVPGeR/r7IilS5c6O3LrdTdlIiK1TqZtcu+T6hURmYpQsHxEpA+3QhWRYV2HCRHp82azmIWItAiTUAVJABFpr9sQkfZY5iJSWERkqg/GOg3rWrNz629GRmo6+sgjpc+55+YCSeCYiMjA6DKqiIjMCBeFQ0IgLCJyk5nCek6fPs5osvrmC5327dvLzk2bSrNmzUTb+MnYsfLxJ59EqemUbJ2aHZaEiMx9T+RLROpoyMO6dnWWW9nWTKv+wgjwvfbe23nAgddcI+eff37Mw145YIDoTtia6tatK9cOHChdDztMqlarFi232LyHb7r5Znn77beda5mKyEzbFL1xigNEZApAAbMRkT7gClVE6iOFcR0mRKTPm81iFiLSIkxCFSQBRKS9bkNE2mOZi0hhEJHJPhg3btxYIlu2yMxZs+TpZ5+VVatWOQh0d8yHHhwq1atVzwWSwDERkYHRZVQREZkRLgqHhEBYRKR+Nr3okktkkZkamyq12W8/ueaqqxJuCpKqbq7yEZG5Ivu/uPkSkXrHjz/+WM7550tFFY+PPvqo05B4EbnJjOBtsdtussX8TVC5cmX5eMyYhFOutfItt9wiTzz5pBMnUxGpldJtk3ODNP9BRKYJKsNiiEgfYIUsIsO4DhMi0ufNZjELEWkRJqEKkgAi0l63ISLtscxFpDCIyEw+GFeoUEEGmVEQe+6xRy5wZBUTEZkVvrQrIyLTRkXBEBEIi4hUJPPnz5dnRoyQ7ydNcjb5iMekouffZtTkwQcd5Ex9jc8vzXNEZO7p51NE6tOc1bu3jDUjcXUZABWNmuJFpO6CfUCHDk5ep06d5GmzRnSipDtqd+7SRRaZkZGagohIrZdOm7RcugkRmS6pzMohIn14FaqIDOs6TIhInzebxSxEpEWYhCpIAohIe92GiLTHMheRwiAi9blSfTDWMu3btZM+ZrOa7UOyVpm2yZsQkV4auTtGROaOLZFzRyBMItJ9Sv2cusCsu/fbb7/J4iWLpU7tOtKoYUNnpJl+6RPGhIjMfa/kW0TOmDFDDj/iiKiE1CeMF5E6ZXq3Vq2cMro79pgPP5S69erFwJg+fbpc3K+f/Prrr9HrQUVkOm2K3iSNA0RkGpACFEFE+kALo4gs5HWYEJE+bzaLWYhIizAJVZAEEJH2ug0RaY9lLiKFRUS6z+b9YLzELDxf0XwYbmg+GOt/tbbbzi0WyldEZH66BRGZH87cxS6BMIpIu0+Yn2iIyNxztiUi16xZ40xzHmI2opk3b55sZ36HX3zRRc4DNGrUSI4w8tFNt912m7MTtnseLyL1+vEnnCCTzCheTVWqVJHjunVz1jhdsWKFfP755zFrmzqFzD+XGDGp9+p8yCGin29tt8m9T6pXRGQqQsHyEZE+3MImIgt9HSZEpM+bzWIWItIiTEIVJAFEpL1uQ0TaY5mLSGETkbl4xnzFRETmhzQiMj+cuYtdAohIOzwRkXY4+kWxJSJfHjVKrjRrjCZLY82mSDs1aeJkr1q5UjqapQBWr17tnCcSkT9MmSLdjYx0p28niqu7Z7dr21beHT06Jvs8s9TAoEGDxHabYm7ic4KI9IGTRRYi0gde2ESktifdBYrDuA4TItLnzWYxCxFpESahCpIAItJetyEi7bHMRSREpD2qiEh7LP0iISL96JAXVgKISDs9g4i0w9Evii0R+fNPP8kpp50WlYvuPcuVKyctW7aUEWYTOh0l6abXX39dLrv8cmdd0huuv156m7Uj49M333wjgwcPlmlmGrY36a7bPXr0kMsuvVTWr18vxxx7bHSdyEoVK8qQIUOke/fukos2eduR7BgRmYxMdtcRkT78wiYitamFvA4TItLnzWYxCxFpESahCpIAItJetyEi7bHMRSREpD2qiEh7LP0iISL96JAXVgKISDs9g4i0w9Evii0R6XePZHm//PKLVK1aVXYw6z9uk2SdUvUrv8+dK3PM2qaaWrRokXQH7WT3yeR6Om1KFQ8RmYpQsHxEpA+3MIpIt7naNneB4kJZhwkR6fZebl8RkbnlS/TwE0BE2usjRKQ9lrmIhIi0RxURaY+lXyREpB8d8sJKABFpp2cQkXY4+kUpTRHp165CzkNE5qb3EJE+XMMsIn2aHdosRGR+ugYRmR/O3CW8BBCR9voGEWmPZS4iISLtUUVE2mPpFwkR6UeHvLASQETa6RlEpB2OflEQkX50guUhIoNxS1ULEelDCBHpAydAFiIyALQAVQpdREYiEfn2229FX/faay+pXLlyAApU2ZoJICLt9X4xichi/NmCiLT3XkdE2mPpFwkR6UeHvLASQETa6RlEpB2OflEQkX50guUhIoNxS1ULEelDCBHpAydAFiIyALQAVQpZRH755Zdy7rnnyq+//uo8edOmTeWLL76QBg0aBCBBla2VACLSXs8Xi4gs1p8tiEh773VEpD2WfpEQkX50yAsrAUSknZ5BRNrh6BcFEelHJ1geIjIYt1S1EJE+hBCRPnACZCEiA0ALUKWQReSxZpe0d955J+apdae0q666KuYaJxDwI4CI9KOTWV6xiMhi/dmCiMzs/exXGhHpR8deHiLSHksi5Y8AItIOa0SkHY5+URCRfnSC5SEig3FLVQsR6UMIEekDJ0AWIjIAtABVClVErlixQmrVquVMyfY+9p577ilTpkzxXuIYAr4E9Gf36tWrfcuQmR6BMmXKSI0aNdIrHNJSxfyzBRFp702HiLTH0i8SItKPDnlhJaB/V2zYsCGszSuYdlWsWFHKlSuXsL3KmJQ9gbJly4r+7aZJl6TZsmVL9kGJIEuWLJF27drJb2a37y3mvRqBSdYE9L06c+ZM6dmzp0ycODHreDYDlDH/85RqHyMibXanCCLSLs9k0QpVRC5YsCDhFOzGjRs7P/STPS/XIQABCPgRKOafLXPNH8Tr16/3e3zy0iTQsGFDqVqtWsLSyngDnBOyyfSiiohKrP2cKTbK55nAY489JtOmTcvzXbkdBCAQVgJr1qyRp59+Wvr27RvWJhZku5YvXy6vvfaaLFu2LFTtR0SGqjuybwwiMnuG6URARKZDiTIQgMDWQqBYRKT+sTZnzpytpdt4ziInMHXqVOnatavUqVOnyJ+UxytEAsccc4y0bdtWmjdvXojNp80QgIBlAiv/H3vn95LFEsbxx2O9ipX2mkQnsUAkhKBDEMeS6qabbuSEf4BBF4cg9NwUhOCN4E2UiFJ30n9QUKB2EwR1USfiXHRn9qb2qnTUTpoIKtE+wntY98fs7szs6+zud0Dcd348785ntu31887sfPtGvb29dP/+fc2Rsx1uYWGBhoaGaHZ21igQEJFGDYf6yUBEqjMMEwEiMgwl1AEBEMgKgbSIyKdPn9LVq1fp1KlTWRk69DPFBF68eEGjo6N07dq1FPcSXUsqARaRfX19dPbs2e0ubG5u0oolIpDUCNQdPEh79uzxDMKMsTzbE02kzFwuR7zklRMvLsUjBSLh86xcafFctr4MLi3N3traIv5BUiPAz6EvFApYmu2FEUuzvajI50FEyrOL0hIiMgot1AUBEEg7gTSJyEePHtHDhw/TPmToXwYI3L59m06cOAERmYGxTmIXnSISm9XoGUVsVqOHoygKNqsR0ZErw2Y1ctyCWrGzmJubg4j0A7X2/btfEfIjEqjZt+//h+c6m7L03eVHgjpPKbGv+Vuw0jdhSepEWmRBkpjjXEEgCwTScm/hGZFOEfn369eYpaPpIv7t9Glq8FkmvLKyQt+xAZYW0vut53DWWhtgQUS6cb5584YePHhAk5OT9PnzZ3cFDTk8G+3KlSt048YNam5u1hAxnSEgIuMZV4jIeLjao0JE2mnoOYaI1MPRGQUi0kkEr0EABHaFQFpkwa7Aw5uCAAj4EkjLvcVLRGLXbN9hj1yAXbMjI5NqUNo1GyJyJz5eltrQ0EAsvcuRLl++TOPj4+V4q0S+B0RkPMMGERkPV3tUiEg7DT3HEJF6ODqjQEQ6ieA1CIDArhBIiywQwfv3yxfsAC4CFKGsPp+n5pYWzxY8w/o/w3Zf8zzRBGRWWDOs6w8dSsCZ+p9iWu4tEJH+Y6yjBCJSB8XgGBCR3oyeP39Oly5d8i6MIZdXziwuLlLe+r8UyU0AItLNREcORKQOiuIYEJFiPjKlEJEy1ILbQEQGMFot0zeTAaeRiuL9Bw74Ls3mB75iabaeYa6srMTSbD0otUcpfPxI/7x7pz1uFgM2NjbS7+fOeXZ9y5pZUiwWPcuQGY3ALxUV1HT8eLRGhtWGiDRsQAw9HYjI8gwMRKQ352fPnhHPUixn+mJ9OYpdy72JQ0R6c1HNhYhUJRjcHiIymFHUGhCRUYmFqw8RKeCEzWoEcCSKsFmNBDSJJvyPuqamRqJlfE3evn1LExMTwh3GVq3nbw0ODrpOgvty69YtV74944AluTs6OrYffG/PN+0YIlLfiEBE6mMpimS6iMzSvQUzIkVXqnoZRKQ6wzARICK9Ka2vr9Mha/Y5/y5HunjxIvHO5UjeBCAivbmo5kJEqhIMbg8RGcwoag2IyKjEwtWHiBRwgogUwJEogoiUgCbRxDQRyR/mxsbGJHoSvUlvby8NDAxEb1imFhCR+kBDROpjKYpksojM2r0FIlJ0paqXQUSqMwwTASLSn9KTJ0/ozp079OrVK/9KiiUV1ix33qyGPy+dOXNGMVp6m0NExjO2EJHxcLVHhYi009BzDBGph6MzCkSkk4jtNUSkDYaGQ4hIDRBDhDBJRPKH6fPnz4c4az1VqquriZca8QxJExNEpL5RgYjUx1IUyVQRmcV7C0Sk6EpVL4OIVGcYJgJEZDClHz9+BFdSqMHPh0QSE4CIFPORLYWIlCUXvh1EZHhWYWtCRIYlFa0eRKSAF0SkAI5EEUSkBDSJJiaJyJGREerp6ZHohXwTFhTt7e3yAWJsCRGpDy5EpD6Wokimisgs3lsgIkVXqnoZRKQ6wzARICLDUEKd3SYAERnPCEBExsPVHhUi0k5DzzFEpB6OzigQkU4ittcQkTYYGg4hIjVADBHCJBE5NTVFLT47G4foSuQq9fX125uU8MxIExNEpL5RgYjUx1IUyVQRmcV7C0Sk6EpVL4OIVGcYJgJEpJgSPyNyeXmZlpaWxBUlS3lDw9bWVuLfSP4EICL92aiUQESq0AvXFiIyHKcotSAio9AKXxciUsAKIlIAR6IIIlICmkQTk0Qkn/7NmzdpeHiYNq2djONMtbW1xLOkurq64nwbpdgQkUr4djSGiNyBI7YXpopI7nDW7i0QkbFd5tuBISLj5VuKDhFZIuH+fffuXerv76e1tTWKc3l2U1PT9ucyflYkkjcBiEhvLqq5EJGqBIPbQ0QGM4paAyIyKrFw9SEiBZwgIgVwJIogIiWgSTQxTURyF75+/UovX74U7ppdLBapu7vb1eN8Pk+jo6OufHsGPxPywoULVFVVZc827hgiUt+QQETqYymKZLKI5PPO0r0FIlJ0paqXQUSqMwwTASLSmxLPgjx8+DDx3x7lSCdPnqT379+X460S+R5JE5E8k7ZQKNDHT5+IVwx8+PCBcrkc/XrkCP1lPSJp7969RowDRGT8wwARqZ8xRKR+phwRIlLAFSJSAEeiCCJSAppEExNFZJhuzM/P09GjR11Vjx07RtPT0678JGZAROobNYhIfSxFkUwXkaJzL5Wl5d6SRBE5Z93XP1l/HE9ZP5OTk9vLTevq6uiPjg5qa2srDZERvyEiyzMMEJHenB8/fkydnZ3ehTHlzszMEM+ORHITSJKI3NjYoD+vX6eV1VV3R6ycoXv3iD9Lm5AgIuMfBYhI/YwhIvUz5Ygmi8ifAAAA///CfSVoAABAAElEQVTsnQecFEXah9/Nyy5IzlE9ARMqIiKY0+ndmU8EMYJZUREMiNlDRcWcM4ieOcf7RMUARlRAEUQEFpacFtjM7ldvuz32zPZUz3RX9VbDv34/7VBVb1c9NTvMPNNdlVErEjVg2rx5M731+usN2IIt69JHHXMMZefkuHZq2dKlVFFR4ZqHk+kRaN2mDRUUFKRXyYDSS8VroEOHDvVa0qVLF1q4cGG981E88cf8+fTj9OlRbLpxbe7YsSP13Wcf13ZVV1XRkiVLXPNwMj0CmRkZ1Llr1/QqGVZ6S3lvefvtt+m1116jp59+Okb4048/prVr1sSOTdmprKykpyZMoP/973+uTdqnXz+6fORI17yGOtlvwABq37696+XXrl1LJevXu+bhZHoEmmyzDbVo0YKuuuoq6t69Ow0dOjS9AFto6e+//5769OkTWu/y8vJojXjviOLnxTAg/fOf/6Rrr72W+on3Kk6rVq6kz6dMCePSaV1j2fLlNO7222nhokVWvczMTNqzd2/qIN7LmjVvTttvuy3tsssuacXUWfiAgw+2/v7drrFC9KWsrMwtC+fSIMD/juWKv29OVeLzcDE+D6dBz71oXn4+ZYjPw3379rW+k65ZvZo2bNjgXhhnUybAzqK4uJgGDhxI0w37fpwBEZnyOEaiIERkOMMEERkOZz9XgYj0Q829DkSkOxfVZyEiVRP1Hy8qIjLxizH3uHWrVtRbfDlu2rQptWvblnbffXdqJvZNShCR4YwGRKQ7Z773Yvvtt6c//vjDvYDisyeffDI999xziqNuOeGiICJZJF8wfDjxDz8sSYYMHkyHHXooNWnSxNiBgIjUPzQQkeoZQ0SqZ8oRISIlXKN0R2SxuJtsgfjw8rv477fffqPVwtTzB/5jjjqK9t57b0kvw8uCiAyHNURkOJz9XMVkEcm/QvMXoPkLFtDvv/9O8+bNo9zcXGrfrh1dcvHFlJPkbmY/HFTUgYhUQdE7BkSkN6OwSkRBRDq/GDOXruKO9nPOOot69uxpfVEOi5Wf60BE+qGWfh2IyOTM+LM7y8Fp06aRrofCsrKy6IgjjqATTjgBd0MmHwqKgoh86JFH6KPJk61eXDFqFPUz5PueBCtBRMroqMmDiFTD0RkFItJJQ90+RKSEZRREZJQef4KIlLzYFGZBRCqEqTiUqSJyzpw5dOu4cVSS5DGDe8aPJ35E3qQEERnOaEBEhsM5latEQUQ6vxjvsvPOdNUVV0RGdkBEpvIqDF4GIjI4Q0TQT8B0EbmoqIhGiOktWFgXNGpEkyZO1A9FwRUgIhVA9AgBEekByEc2RKQPaClUgYiUQDJdREbt8SeISMmLTWEWRKRCmIpDmSYi+QPs2+++SxOffZZqamqs3po+v5A9JBCRNgm9W4hIvXzTiW66iEz8YvyYuFsnSvPPQUSm82r0XxYi0j871AyPgOkicuytt9L3dXOqnT1sGB0p7nKNQoKI1D9KEJHqGUNEqmfKESEiJVxNFpFRfPwJIlLyYlOYBRGpEKbiUKaJyGfFI2Cvv/GG1cuozC9kDwlEpE1C7xYiUi/fdKKbLiKj+sXYHgOISJuE3i1EpF6+iK6GgMkisqq6mgaJOT75x+RcMW3Os2JhsE2lpTRfTKvTXCxQ06lzZ8rJzlYDQnEUiEjFQF3CQUS6QAl4CiIyIMAk1SEik4Dh0yaLyCg+/gQRKXmxKcyCiFQIU3Eok0TksmXL6KJLLrHuhOS7IEdddlkk5heyhwQi0iahdwsRqZdvOtFNFpFuX4z5fWWBmHOWV5bsKlZe5y/IJieIyHBGByIyHM64SjACJotIXhfgIjF3N6deu+5KO+24I73w0kuxDvN779FH/YsGDxpsnJCEiIwNk7YdiEj1aCEi1TPliBCREq6misioPv4EESl5sSnMiqqILBW/5rZo0YIqKiriaAwYMIC++OKLuHNRPTBJRI6/+276cupUC+WpQ4bQccceGymsEJHhDNeWICK3lPcWk0Wk2xfj115/nSqrqmIvVF74auSIEbTddtvFzpm0AxEZzmhARIbDGVcJRsBkEfnjjz/STWPHenZwe/Fe+5+bbqK8vDzPsmEVgIjUTxoiUj1jiEj1TDkiRKSEq6kiMqqPP0FESl5sCrOiKiIZwQUXXEAPP/xwHI0nnniChon5b7aEZIqI5BWxrxg92kK6TZMm9KhgbtIH1VTGGiIyFUrBy2wJIpIpbAnvLSaLyFS/GPOdOiPEndgD+vcP/uJUHAEiUjHQJOEgIpOAwWmjCJgsIj/48EN6THw2diaeJ7Jtmzb0m/h89/Krr8bm/T7h+ONpyODBzqINug8RqR8/RKR6xhCR6plyRIhICVcTRWSUH3+CiJS82BRmRVlELly4kIaIu/O+/PJL6+7ICy+8kK4Qq642btxYIaGGC2WKiHxFfEh9/oUXLBCnnXoKHXv0MbRu/fpIzC9kjx5EpE1C73ZLEZFbwnuLySLS7Ytx/332of333ZcqKivp7XfeoXli/jJOubm59MiDD1KzZs30vnjTjA4RmSYwn8UhIn2CQ7VQCZgsIidOepbeePOtGI+j//UvOuP002PHM2bMoBtuvtk65h9/Hn3oIWrZsmUsvyF3ICL104eIVM8YIlI9U44IESnhaqKIjPLjTxCRkhebwqwoi0gbw8aNG6079HLEJNxbUjJFRN53//306WefWWgvEnehvvX228RTPtjJ5PmF7DZCRNok9G63FBFpU4rye4vJItLrizH/iHqzeJRw1qxZ1lD8Q6zwepZhd7pDRNp/JXq3EJF6+SK6GgImi0ie9mLS889bHeUfdp4Wd0c2atQoruO3jhtH3373nXXu6quuoj577hmX31AHEJH6yUNEqmcMEameKUeEiJRwNVFERvnxJ4hIyYtNYdaWICIV4jAqlCki8nLxofT3uruTsrOyqHrzZldOJs4vZDcUItImoXe7pYlIvbT0RjdZRKbyxXj+/Pk06sorLUhdu3Shu8eP1wsszegQkWkC81kcItInOFQLlYDJIpLnTb/r3nstHsneS98UPzBPmDjRKmPSPOAQkfpfxhCR6hlDRKpnyhEhIiVcTRSRUX78CSJS8mJTmAURqRCm4lCmiMhB4vH3SvG4pJ0KxC/pQ04+ORLzC9lthoi0SejdQkTq5ZtOdJNFZCpfjGtra+kkMVcZ//DBd12/KO7oyRI/hJiSICLDGQmIyHA44yrBCJgsIufMmUOjr7nG6uC2225L42+/vV5nP/zf/+jRxx+3zp88aBD9+4QT6pVpiBMQkfqpQ0SqZwwRqZ4pR4SIlHA1UURG+fEniEjJi01hFkSkQpiKQ5kgIjdt2kSnnnFGrGf8WM/94pf11q1axc6ZPL+Q3UiISJuE3i1EpF6+6UQ3WUSm8sWY+zr4lFOooqKCMjIyLBGZnZ2dDgKtZSEiteKNBYeIjKHAjsEETBaRGzZuoKFnnU38PZU/wz3z5JOUn58fR/Nxce79Dz6wzl0+ciTt069fXH5DHUBE6icPEameMUSkeqYcESJSwtVEERnlx58gIiUvNoVZEJEKYSoOZYKI5Pe1k8TdjzU1NVbvkv1Sbur8QvaQQETaJPRuISL18k0nuskiMpUvxmvXrqVh55xjdbldu3b0kJir1qQEERnOaEBEhsMZVwlGwGQRyT178qmn6N3337c6OWjgQBp44omxDq9evZrOv+giqhZz83K67557qFPHjrH8htyBiNRPHyJSPWOISPVMOSJEpISriSIyyo8/QURKXmwKsyAiFcJUHMoEEcldOuf882nVqlVW78aI+SL3dJnE3NT5hewhgYi0SejdQkTq5ZtOdJNFJPdD9sWY85965hl65913eZf2HTCALrv0UmvflP9BRIYzEhCR4XDGVYIRMF1E8me48y68MPaj8nVjxlAHIRuLlyyhB8Qq2WvEDz+c+os7IUeJOyJNSRCR+kcCIlI9Y4hI9Uw5IkSkhKuJIjLKjz9BREpebAqzICIVwlQcyhQRecNNN9GMmTOt3l0zejT17t27Xk9NnV/IbihEpE1C7xYiUi/fdKKbLiITvxgfe8zRdNABB5J4DpsmT55Mb73zjtVdfiz7rjvuoK5du6bTfe1lISK1I7YuABEZDmdcJRgB00Uk9+6zzz6j+x58MCYjE3vMj2vz3ZCtWrZMzGqwY4hI/eghItUzhohUz5QjQkRKuJooIqP8+BNEpOTFpjALIlIhTMWhTBGRk8QiETzNA6dTxGPaxx93XL2emjq/kN1QiEibhN4tRKRevulEN11Ecl+8vhhzGX6/4fcd0xJEZDgjAhEZDmdcJRiBKIhI7uHs2bNp7G23UWlpaVyHd9l5Z7r04oupRYsWcecb+gAiUv8IQESqZwwRqZ4pR4SIlHA1UURyc6P6+BNEpOTFpjALIlIhTMWhTBGRa9assR7P5nki+RfzR8VjPE2aNIn11uT5hexGQkTaJPRuISL18k0nehREJPcn2RdjXpjm3LPPpkMOPjidbodWFiIyHNQQkeFwxlWCEYiKiORe1tbW0qxZs2jBokXUsnlz627zDh06WIuCBaOgvjZEpHqmiREhIhOJBD+GiAzO0C0CRKQblbpzporIqD7+BBEpebEpzIKIVAhTcShTRCR3y3nHI6+Yff6550ZifiF7SCAibRJ6txCRevmmEz0qIpL7xF+MlxQX0+/z5lFpWRl16dyZunXrRoWFhel0OdSyEJHh4IaIDIczrhKMQJREZLCehlsbIlI/b4hI9YwhItUz5YgQkRKupopIbnIUH3+CiJS82BRmQUQqhKk4lEkikqd5uPW2cfTrnDlJe2ni/EJ2YyEibRJ6txCRevmmEz1KIjKdfplSFiIynJGAiAyHM64SjABEZDB+yWpDRCYjo+48RKQ6lnYkiEibhNotRKSEp8kikpsdtcefICIlLzaFWRCRCmEqDmWSiOSuVVVV0SOPPUafTpli3cHk7K6p8wvZbYSItEno3UJE6uWbTnSIyHRopV8WIjJ9Zn5qQET6oYY6YROAiNRDHCJSD1dnVIhIJw01+xCRajgmRoGITCTiODZdRHJTo/T4E0Sk48WlcRciUiPcgKFNE5F2dzZt2kTz58+PxPxCdpshIm0SercQkXr5phMdIjIdWumXhYhMn5mfGhCRfqihTtgEICL1EIeI1MPVGRUi0klDzT5EpBqOiVEgIhOJOI6jICIdzTV+FyIynCGCiAyHs5+rmCoi/fSloetARIYzAhCR4XBO5SoQkalQ8l8GItI/u3RqQkSmQwtlG4oARKQe8hCRerg6o0JEOmmo2YeIVMMxMQpEZCIRxzFEpAOGgl2ISAUQUwgBEZkCpAYqAhGpDjxEpDqWskgQkTI64eZBROrlDRGpl68dHSLSJoGtyQQgIvWMDkSkHq7OqBCRThpq9iEi1XBMjAIRmUjEcQwR6YChYBciUgHEFEJARKYAqYGKQESqAw8RqY6lLBJEpIxOuHkQkXp5Q0Tq5WtHh4i0SWBrMoFEEblmzRr65quvTG5yJNrWr39/atasmWtbV69cSeXl5a55OJk6gTZt21JObq5Vobq6mpYvXZp6ZZR0JZCbl0c1tbXUt29fWrhwIa1du5ZKN250LYuTqRNo0bIlLSkupoEDB9L06dNTrxhCyQwx/2FtCNdJegmIyKRofGVARPrClnYliMi0kYVWASJSHWqISHUsZZEgImV0ws2DiNTLGyJSL187OkSkTQJbkwkkikiT24q2gQAI6CewfPnymIjUf7Wt5wrz5s2DiHQbbohINyr+z0FE+meXTk2IyHRohVsWIlIdb4hIdSxlkSAiZXTCzXMTkXyHzvp168JtyBZ6td179yb+99MtlaxfTxs2bHDLwrk0CTRu3JiaijuirrrqKurevTsNHTo0zQgoDgL6CbCIbNq0KfFnDSQQAAEQ4IU9J0yYQBdccAFgKCTAd5e+9tprxHedm5RwR6RJo6GgLRCRCiCmEAIiMgVIDVQEIlIdeIhIdSxlkSAiZXTCzXMTkeG2AFcDAXUEICLVsUQk9QQ++ugjWopHWtWDRUQQiCiBkpISGjNmDN1///0R7YGZzeY7Te+9914qKioyqoEQkUYNR/DGQEQGZ5hKBIjIVCg1TBmISHXcISLVsZRFgoiU0Qk3j0XkqFGj6F//+le4F8bVQEADAf7i8dhjj+GOSA1sEVI9gdLSUlpi2Bdl9b3UH7Fzly6U36iR64WYcXVVlWseTqZOoFDcdZ6VlWVV4Kc7N2Euw9ThJSmZlZ1NGwVHe47IsrIyqqqsTFIap1MlUFBQQAvEnJuYI9KFGB7NdoES4BREZAB4aVSFiEwDVshFa2pqiP9DCk4gIyMj9kHLLRo4u1Hxdy4zM9NfRdRSSoAnSJ8yZYrSmAgGAg1F4PPPP7fEeo8ePRqqCbguCKRMYJVYSOVzvP+mzCtZQayanYyMuvNYNVsdSzsSVs22SajdsrMoxmI17lD5i+yvv/zinomzaRPoseOOScXBRjH3UpVY2QspOAGefyknJyd4IEQAARAAARAwmsBicYdOBVYZVTJG7Tp0oMLCQtdYzLiiosI1DyfTI8Crj+bn56dXCaVBoIEJQESqGQCISDUcZVEgImV0/OVBRPrj5lULItJBaMWKFbQOk747iGA36gS6du1KeeJDPxIIgAAIgMCWR+DTjz+mtYZN8B1Vylg1O5yRs1fNDudquAoIqCEAEamGI0SkGo6yKBCRMjr+8iAi/XHzqgUR6SB0xRVX0KRJk6h169aOs9gFgWgSmDFjBs2ePZt69uwZzQ5sga3mOUUwV4uagc3NzaVtxIqWbqm2thZ3ibmB8XNOPAKPu5f8gAunDkSkOs4QkepYyiJBRMroIM9UAhCRakYGIlINR1kUiEgZHX95EJH+uHnVgoh0EGIRuaN4fPjMM890nMUuCESTQJ8+fSyxDhFpzvhhsRp1Y4HFatSxlEXCYjUyOg2fBxGpbgwgItWxlEWCiJTRQZ6pBCAi1YwMRKQajrIoEJEyOv7yICL9cfOqBRHpIJQoInmxmi8++8xRArtBCOy7//5J54hcs3o1VWL1qSB4Y3WbNW9u3cEEERlDYswORKS6oYCIVMdSFgkiUkan4fMgItWNAUSkOpaySBCRMjrIM5UARKSakYGIVMNRFgUiUkbHXx5EpD9uXrUgIh2E3ETkW6+/7iiB3SAEsGp2EHqp1+U/6oKCAoKITJ1ZWCUhItWRhohUx1IWCSJSRqfh8yAi1Y0BRKQ6lrJIEJEyOsgzlQBEpJqRgYhUw1EWBSJSRsdfHkSkP25etSAiHYQgIh0wNOxCRGqA6hISItIFiiGnICLVDQREpDqWskgQkTI6DZ8HEaluDCAi1bGURYKIlNFBnqkEICLVjAxEpBqOsigQkTI6/vIgIv1x86oFEekgBBHpgKFhFyJSA1SXkBCRLlAMOQURqW4gICLVsZRFgoiU0Wn4PIhIdWMAEamOpSwSRKSMDvJMJQARqWZkICLVcJRFgYiU0fGXBxHpj5tXLYhIByGISAcMDbsQkRqguoSEiHSBYsgpiEh1AwERqY6lLBJEpIxOw+dBRKobA4hIdSxlkSAiZXSQZyoBiEg1IwMRqYajLApEpIyOvzyISH/cvGpBRDoIQUQ6YGjYhYjUANUlJESkCxRDTkFEqhsIiEh1LGWRICJldBo+DyJS3RhARKpjKYsEESmjgzxTCZgkInkx1Z9++ok2bdrkiSs7J4f67Lkn5YitCQkiUv8oQESqZwwRqZ4pR4SIdHCFiHTA0LALEakBqktIiEgXKIacgohUNxAQkepYyiJBRMroNHyeKSIynS/GTK1Lly7UtWvXhgfoaAFEpAOGxl2ISI1wEVobAZNE5Lfffku33n57yn29/tprabdevVIur7MgRKROun/GhohUzxgiUj1TjggR6eAKEemAoWEXIlIDVJeQEJEuUAw5BRGpbiAgItWxlEWCiJTRafg8U0Rkul+Mu++wA912yy0ND9DRAohIBwyNuxCRGuEitDYCJonIN956kyY+Oynlvt58ww208847p1xeZ0GISJ10/4wNEameMUSkeqYcESLSwRUi0gFDwy5EpAaoLiEhIl2gGHIKIlLdQEBEqmMpiwQRKaPT8HmmiMh0vxjv2LMnjb355oYH6GgBRKQDhsZdiEiNcBFaGwGTRORLL79ML7z0ErVr145GXHyxa59feuUV+n76dMrOzqZnn3mG8vLyXMuFfRIiUj9xiEj1jCEi1TPliBCRDq4QkQ4YGnYhIjVAdQkJEekCxZBTpojI5StW0Ny5c4lqaz3JmDa/kN1giEibhN4tRKRevkGjmyIiU/liXFFRQdfdeKPV5ZMHDaJ/n3BC0O4rrQ8RqRRn0mAQkUnRIMNgAiaJyGXLl9MHH3xAe/ftSzvuuGM9arXis935F11EK8RnvQH9+9PIESPqlWmoExCR+slDRKpnDBGpnilHhIh0cI2CiIzyPEwQkY4Xm8ZdiEiNcAOGNkVEXnLZZVRUVJRyb0yaX8huNESkTULvFiJSL9+g0U0RkV5fjLmfX06dSuPvvtvq8r133UWdO3cO2n2l9SEileJMGgwiMikaZBhMwCQR6YXpt99+oyuvvtoqdvnIkbRPv35eVULLh4jUjxoiUj1jiEj1TDkiRKSDaxREZJTnYYKIdLzYNO5CRGqEGzC0CSKSfyk/UdyNVFNTk3JvTJpfyG40RKRNQu8WIlIv36DRTRGRqfTj5rFj6Ycff6T24nHCB++/P5UqoZaBiAwHN0RkOJxxFbUEoiQin3jqKXrv/fcpOyuLJjz9NDVq1EgtjADRICIDwEuxKkRkiqDSKAYRmQasNIpCRDpgRUFERnkeJohIx4tN4y5EpEa4AUObICIrKytp8CmniKeya+nMM86gnt27u/bK1PmF7MZCRNok9G4hIvXyDRo9KiJyzdq1dPa551rvO4MGDqSBJ54YtOvK60NEKkfqGhAi0hULThpOICoisqqqik4fOpTKy8upv7gTcpS4I9KkBBGpfzQgItUzhohUz5QjQkQ6uEZBREZ5HiaISMeLTeMuRKRGuAFDmyAiuQsfTZ5Ma4UYOPqoo1wnMDd5fiF7CCAibRJ6txCRevkGjR4VEfn2u+/S02LBBE73jB9PXbp0sfZN+h9EZDijAREZDmdcRS2BqIjIb775hm674w6r86PE3JD9xRyRJiWISP2jARGpnjFEpHqmHBEi0sE1CiIyyvMwQUQ6XmwadyEiNcINGNoUEenVDZPnF7LbDhFpk9C7hYjUyzdo9KiIyOGXXEJLioupTZs29MiDDwbttpb6EJFasNYLChFZDwlORIBAVETkOCEhvxYyMks8lj3RsMeyeZghIvW/2CEi1TOGiFTPlCNCRDq4RkFEOpqbdNfUeZggIpMOmdIMiEilOJUGi4qINHl+IXtAICJtEnq3EJF6+QaNHgURuWDBArrs8sutrp4kHsk+STyabWKCiAxnVCAiw+GMq6glEAURub6khIadfbY1B3g/saL2FXXvu2pJBIsGERmMXyq1ISJToZReGYjI9HilWhoi0kFqSxCRJs/DBBHpeLFp3IWI1Ag3YOgoiEjT5xeyhwAi0iahdwsRqZdv0OhREJHPTJxIb739ttXVu8TdOt26dQvabS31ISK1YK0XFCKyHhKciACBKIjIDz78kB574gmL5shLL6UBAwYYRxYiUv+QQESqZwwRqZ4pR4SIdHDdEkSkyfMwQUQ6XmwadyEiNcINGDoKItL0+YXsIYCItEno3UJE6uUbNLrpIrK6uprOGDaMSktLqXWrVvToww8H7bK2+hCR2tDGBYaIjMOBg4gQiIKIHHnFFfTHH39QZmam9Vh2QUGBcXQhIvUPCUSkesYQkeqZckSISAfXLUFEmjwPE0Sk48WmcRciUiPcgKGjICJNn1/IHgKISJuE3i1EpF6+QaObLiKnT59O/7n1VqubJ55wAg0eNChol7XVh4jUhjYuMERkHA4cRISA6SKyqKiILrnsMovmXn360OgrrzSSLESk/mGBiFTPGCJSPVOOCBHp4Bp1EWn6PEwQkY4Xm8ZdiEiNcAOGNl1ERmF+IXsIICJtEnq3EJF6+QaNbrqIHH/33fTl1KlWN8fffjttu+22QbusrT5EpDa0cYEhIuNw4CAiBEwXkc/997/06muvWTRHXHwx7bfffkaShYjUPywQkeoZQ0SqZ8oRISIdXKMuIk2fhwki0vFi07gLEakRbsDQpovIKMwvZA8BRKRNQu8WIlIv36DRTRaRGzdupDPPOos2b95MLVq0oCcefTRod7XWh4jUijcWHCIyhgI7ESJguog8Y+hQKtmwwXose8JTT1FhYaGRdCEi9Q8LRKR6xhCR6plyRIhIB9coi8gozMMEEel4sWnchYjUCDdgaNNFZBTmF7KHACLSJqF3CxGpl2/Q6CaLyMmTJ9ODjzxidfGE44+nIYMHB+2u1voQkVrxxoJDRMZQYCdCBEwXkcefeKJFs8+ee9LVV11lLFmISP1DAxGpnjFEpHqmHBEi0sE1yiIyCvMwQUQ6XmwadyEiNcINGNpkERmV+YXsIYCItEno3UJE6uUbNLrJInL0mDE0Z+5cq4t3jhtH2223XdDuaq0PEakVbyw4RGQMBXYiRMBkEbl02TK6cPhwi+YlYnvA/vsbSxYiUv/QQESqZwwRqZ4pR4SIdHCNsoiMwjxMEJGOF5vGXYhIjXADhjZZREZlfiF7CCAibRJ6txCRevkGjW6qiHR+MW7evLn1WHZGRkbQ7mqtDxGpFW8sOERkDAV2IkTAZBH50ssv0wsvvWQ9lv3Mk09S48aNjSULEal/aCAi1TOGiFTPlCNCRDq4RlVERmUeJohIx4tN4y5EpEa4AUObKiJrampoqJjLLQrzC9lDABFpk9C7hYjUyzdodFNFpP3FmPt3/HHH0Sknnxy0q9rrQ0RqR2xdACIyHM64iloCJovI6264gWb9/DPt2bs3jRk9Wm3HFUeDiFQM1CUcRKQLlICnICIDAkxSHSLSASaqIjIq8zBBRDpebBp3ISI1wg0Y2lQROXPmTLr+ppus3pk+v5A9BBCRNgm9W4hIvXyDRjdVRNpfjLl/d9x2G22//fZBu6q9PkSkdsTWBSAiw+GMq6glYLKIXL5iBXH7+HNRs2bN1HZccTSISMVAXcJBRLpACXgKIjIgwCTVISIdYKIqIqMyDxNEpOPFpnEXIlIj3IChTRWR9z3wAH06ZYrVO9PnF7KHACLSJqF3CxGpl2/Q6KaKSPuLcU5ODnXv3j1oN0OpDxEZCmaCiAyHM66iloDJIlJtT/VGg4jUy5ejQ0SqZwwRqZ4pR4SIdHCNooiM0jxMEJGOF5vGXYhIjXADhjZRRJaVldHpQ4dSdXV1JOYXsocAItImoXcLEamXb9DoporIoP1qiPoQkeFQh4gMhzOuopYARKQanhCRajjKokBEyuj4y4OI9MfNqxZEpINQFEVklOZhgoh0vNg07kJEaoQbMLSJInL27Nk05rrrrJ5FYX4hewggIm0SercQkXr5Bo0OERmU4F/1ISL/YqFzDyJSJ13E1kUAIlINWYhINRxlUSAiZXT85UFE+uPmVQsi0kEoiiIySvMwQUQ6XmwadyEiNcINGNpEEcl3Qs6bN482b94cifmF7CGAiLRJ6N1CROrlGzQ6RGRQgn/Vh4j8i4XOPYhInXQRWxcBiEg1ZCEi1XCURYGIlNHxlwcR6Y+bVy2ISAehKIrIKM3DBBHpeLFp3IWI1Ag3YGgTRWTALjVYdYjIcNBDRIbD2e9VICL9kqtfDyKyPhMdZyAidVBFTN0EICLVEIaIVMNRFgUiUkbHXx5EpD9uXrUgIh2EoigiHc03fhciMpwhgogMh7Ofq0BE+qHmXgci0p2L6rMQkaqJqo0HEamOJ0SkOpaySBCRMjrIM5UARKSakYGIVMNRFgUiUkbHXx5EpD9uXrUgIh2EICIdMDTsQkRqgOoSEiLSBYohpyAi1Q0ERKQ6lrJIEJEyOg2fBxGpbgwgItWxlEWCiJTRQZ6pBCAi1YwMRKQajrIoEJEyOv7yICL9cfOqBRHpIAQR6YChYRciUgNUl5AQkS5QDDkFEaluICAi1bGURYKIlNFp+DyISHVjABGpjqUsEkSkjA7yTCWwoaSEfhWL+yEFI7DTzjtTYePGrkHWr1tHVZWVrnk4mTqBZi1aUHZ2tlWB539fu3p16pVR0pVAdk4OVYjXZt++fWnhwoW0ccMGKi8rcy2Lk6kTaNK0KRUVFdHAgQNp+vTpqVcMoWRGrUghXCd2CYjIGAotOxCRWrDWCwoRWQ+JMScgItUNBUSkOpaySBCRMjoNnwcRqW4MICLVsZRFgoiU0UEeCIAACICAiQSWL18eE5Emti+qbeIFUyEixehBROp9CUNE6uVrR4eItEmYt4WIVDcmEJHqWMoiQUTK6DR8HkSkujGAiFTHUhYJIlJGB3kgAAIgAAImEoCI1DMqEJF1XCEi9bzA7KgQkTYJvVuISL18g0SHiAxCL74uRGQ8D11HEJG6yKqJy4+yVVdXqwm2lUdhQZabm+tKgRmDsyuatE/yI4P2Y4NpV0YFEAABEAABEGgAAhCReqBDRNZxhYjU8wKzo0JE2iT0biEi9fINEh0iMgi9+LoQkfE8dB1BROoii7ggAAIgAAJRIVCyfj398vPPUWmuse3cpVcvaiyZI7KyosLYtkelYc1btoz92MNzRK5ZtSoqTTe2ndniR8pKxxyRG3iOyNJSY9sblYZt06wZ5oi0Bwsi0iahZwsRqYdrYlSIyEQi5hzzB1leeREpOIEC8UG2Xbt2roFqampo08aNrnk4mR6BjIwMatykSXqVUBoEQAAEQAAEtiACWDVbzWBi1Ww1HGVRsGq2jI6/PKya7Y+bVy12FsXFxZgjkkG5icgP33vPiyHyUyRw+JFHxn6hSayyQkwAi1/BEqn4O27ZqhU1KiigPn360KRJk6hnz57+AqFWYALTpk0jlmJIILAlECgsLKTdd999S+jKFtMHflw45HX9thh2iR3JysqizMzMxNPWMTMGZ1c0aZ/kHzf4PyQQiBIBiEg1owURqYajLApEpIyOvzyISH/cvGpBRDoIJYpIRxZ2QSByBCAiG37IGjVqRAceeCDxF1wkEIg6gQULFtCsWbOi3o0tqv1YrEbdcGKxGnUsZZGwWI2MDvJMJQARqWZkICLVcJRFgYiU0fGXBxHpj5tXLYhIByEWkbNnz6Y999zTcRa7IBBNAjfeeKP1esYdkQ03fiwiV69eTQXiDlUkEIg6gf79+9PUqVOj3o0tqv0QkeqGEyJSHUtZJIhIGR3kmUoAIlLNyEBEquEoiwIRKaPjLw8i0h83r1oQkQ5Cn3/+Oc2cOdNxBrsgEG0CgwYNohYtWkS7ExFufaKIXLxoEf2MO8qUjGjb9u1p9z32cI3Fj6suX7bMNQ8n0yOQIR5V7dChg1UJIjI9dmGUhohURxkiUh1LWSSISBkd5JlKACJSzchARKrhKIsCESmj4y8PItIfN69aEJESQrVibreFQhwgqSHQpUuXpPMvlYqVp2rEyl5IwQnki7vwsrOzgwdChMAEEkUkVs0OjDQWAKtmx1Bo3XGumg0RqRW1r+AQkb6wuVaCiHTFovwkRKRypAgYAgGISDWQISLVcJRFgYiU0fGXBxHpj5tXLYhICSFe8v6t11+XlEBWOgSwanY6tPyX5T9qPArsn5/KmhCRKmnGx4KIjOeh6wgiUhdZNXEhItVw5CgQkepYyiJBRMroIM9UAhCRakYGIlINR1kUiEgZHX95EJH+uHnVgoiUEIKIlMDxkQUR6QOajyoQkT6gaaoCEakJrAgLEamPrTMyRKSThnn7EJHqxgQiUh1LWSSISBkd5JlKACJSzchARKrhKIsCESmj4y8PItIfN69aEJESQhCREjg+siAifUDzUQUi0gc0TVUgIjWBFWEhIvWxdUaGiHTSMG8fIlLdmEBEqmMpiwQRKaODPFMJQESqGRmISDUcZVEgImV0/OVBRPrj5lULIlJCCCJSAsdHFkSkD2g+qkBE+oCmqQpEpCawIixEpD62zsgQkU4a5u1DRKobE4hIdSxlkSAiZXSQZyoBiEg1IwMRqYajLApEpIyOvzyISH/cvGpBREoIQURK4PjIgoj0Ac1HFYhIH9A0VYGI1ARWhIWI1MfWGRki0knDvH2ISHVjAhGpjqUsEkSkjA7yTCVgqohcs2YNfTR5Mv00YwaVlJQQLwzaVfx36KGHUovmzY3DCRGpf0ggItUzhohUz5QjQkRKuEJESuD4yIKI9AHNRxWISB/QNFWBiNQEVoSFiNTH1hkZItJJw7x9E0Wk/cV44aJFtEj816RJE+ratSvt1qsX7d23L2VkZJgHUrQIIjKcYYGIDIczrqKWgIki8r0PPqCJEydSZVVVvc7m5uTQ6aedRkcecUS9vIY8ARGpnz5EpHrGEJHqmXJEiEgJV4hICRwfWRCRPqD5qAIR6QOapioQkZrAirAQkfrYOiNDRDppmLdvmoiUfTFmejvvtBMNv+giatO6tXEwISLDGRKIyHA44ypqCZgmIr+cOpXG3313rJOHH344NWncmObMnUuzZs2KnR81YgT1798/dtzQOxCR+kcAIlI9Y4hI9Uw5IkSkhCtEpASOjyyISB/QfFSBiPQBTVMViEhNYEVYiEh9bJ2RISKdNMzbN0lEJn4xZunYs2dP2rhxI332+edUVlZmAeTHBsfdeivl5uYaBRQiMpzhgIgMh/OWcpXazZVUvWI25bTZmSgru8G6ZZKI5O+np55xBpWXl1s8Ljz/fDrk4INjbD777DO65/77rWO+M3LiM88Y834LERkbJm07EJHq0UJEqmfKESEiJVwhIiVwfGRBRPqA5qMKRKQPaJqqmC4ia2tr6euvv6afZs60HqGMwvxC9lBBRNok9G4hIvXyDRrdFBHp9cV4w4YNdNPYsfT7779bXT51yBA67thjg3ZfaX2ISKU4kwaDiEyKBhkuBGqry6n82ycpI6eAsjr2bjAhaZKInDdvHl0xerRFa8/evWlM3b4T35133UVTp02zTo275RbaYYcdnNkNtg8RqR89RKR6xhCR6plyRIhICVfTRWTU5mGCiJS82BRmQUQqhBkwlMkicuWqVXTPvffS7F9/de2lqfML2Y2FiLRJ6N1CROrlGzS6KSIylS/Gi4qK6NLLLrO6vMfuu9O1Y8YE7b7S+hCRSnEmDQYRmRQNMlwI2CLSzmooIWmSiHTefX7iCSfQ4EGDbDyx7VvvvEPPTJhgHV86fDjtv//+sbyG3IGI1E8fIlI9Y4hI9Uw5IkSkhKvJIjKK8zBBREpebAqzICIVwgwYylQRWVVdTaOvvprm//GH1cP8/HzrQ2oU5heyhwQi0iahdwsRqZdv0OimiMhUvhjzHdgDBw8m/mzVXKzm+uRjjwXtvtL6EJFKcSYNBhGZFA0yXAgkiki7SNhC0iQRWSR+1Lmk7kedv4u5Ic89+2wbS2z7lHgc+51337WO7xk/3lpNO5bZgDsQkfrhQ0SqZwwRqZ4pR4SIlHA1VUQ6P/Bz86MyDxNEpOTFpjALIlIhzIChTBWR777/Pj351FNW73i+thuuv56abrNNrLcmzy9kNxIi0iahdwsRqZdv0OimiMhUvhjz1A9nDBtmdbl/v340auTIoN1XWh8iUinOpMEgIpOiQYYLgWQi0i4alpA0SURy388U76XrxXtqdnY2sWjs0KGDjYSWLV9Ol4pFang17YKCAnpWSMmMjIxYfkPuQETqpw8RqZ4xRKR6phwRIlLC1UQRyW2STVBs8jxMEJGSF5vCLIhIhTADhjJVRPJKi/yDBqc7bruNtt9++3o9NXV+IbuhEJE2Cb1biEi9fINGN0VEcj9kX4w5/4knnyR+moPT+eeeS4cdeqi1b8r/ICLDGQmIyHA4bylX8RKRdj//FJJ7UE5bsahNZo59WtnWNBHp/EGZn2q5ctQoaixWzZ4n5uF9dtIkKq1bHCzZo9vKwKQZCCIyTWA+ikNE+oDmUQUi0gOQz2yISAk4E0VklOdhgoiUvNgUZkFEKoQZMJSpIvKiiy+m4qVLrd69/MILlJWVVa+nps4vZDcUItImoXcLEamXb9DoJonIxC/GvCDNDn/7G20qLaUP//c/+kosjMWJ79C5Vyyk0LJly6DdV1ofIlIpzqTBICKTokGGC4FURaRdNTOnEWXyojaKhaRpIpL7y4vR3HXPPVRTU2N3P7bNzMyk8845hw495JDYORN2ICL1jwJEpHrGEJHqmXJEiEgJVxNFpPOx7GS/cgWdhymztoqyayslZOqyajOoMqvAu5wokVNTTocfcTjl5Lj/Srli+TKqqBDXzMqn2uw8z5gZtdVElZs8y3GB2lzxyGkKjyRkVJUS1VR5xxS/tNaK1ftSSRkV61MpJgAVUG0qv+BWV1LG5jJpzFatWlGjwsaUkd9UWs7OrC0vEZA224fJt+LDXUZ2fvJ8O0cwrK3YaB9Jtxn5zVIam1oe680pvCazcikjt1B6TSuztoZqy1Mbm4zcJuJ1me0Zkz8sU1X82OywbWea8ctcYiHJadHCBTRzxs9UlZkCR1E+p6aUMqjWqiv7X3VGLtVkuP9tOetliHHOqS2nxx9/jL6a9qcUGC8e6WnWXIxDQnpk4sspzS+ULf62M8n79VOTkU3VGSn8bYv+cr+9Uvv2Haj3gIPFnQ/1JWq1eBxpyZIlsRAZPDabK2LHSXdErNqcxkmznRkZlfx34z02tdli7MXr0jNtrqKMau9+c5zavNT+tjOqxN9hjffYcPusdro00iki9xvQnz776M85p1yKxp3KyBPvuy5jE1dIHNTy+251KmOTTRl54m8xhVRbvlYETqGgeK/ISGFsavm1U5nK2GRQRqP6f0tuLUn5fVe852aI995kyRaRGeI9Lac2/v0nWZ2qTPHvjXhn8UrZtRWUyf/WeqQayqLquvc02RdjDrP/nj3onHMuoGbN5K/h6ox88Z5W/287sSmpfl7h/nK/ZckWkW5js37dWiop2RBfXYxNbVYK72k1gmFVip9X+O8mhbFR/3lFEKoQ72mppBQ/r2Tw3w2/9yakJk2aiH9zmv91VoxzRv5fU4P8lVF/z/p3W7zWPZOOzyvW37b33431+SeVz5I6Pq+k/L4rxqU6hfeLtMZmXUr/JlJugXjf9f674c/jzJI/W1XMes1zyBMLqBaSJorIH3/8kW4aOzax69Yx/8B8jZgLfLdevVzzG+okRKR+8hCR6hlDRKpnyhEhIiVcTRSRYczDtE3VUmpb8auEzJ9Zm4X8mF84wLMcF+hc9h3tuG0H8b3U/YtF6cYNtFl8WK9quRtVt9rVM2Zm2WrKW/S+ZzkuUL79v8WXbG/xk7Psa8pe/5tnzM2Nu1BlxxRWnxMflhvNfd4zHheo6HQI1RS29yybvXYu5az4RlquUUEh5TRuRfl7nCotZ2eW//Rfqi1dYx8m3WZ3HUA5HXZPmm9n1JQUU8XPr9uH0m2jvc9J6RGayt/+jzavmiuNxZlZrXtS7t+8f/1lsVD+zROe8bhA3i7HU2YT77GpKv6BqhdOjYv51MPj6bSzLxZz+PwpCUvWr6HFKzbQooK+ceWSHXQrnWZJ/GT59vmVed1pXU5H+zDptmDzGupY9hMVL15Ev8z6ySrXvmMn2nnXPeLqlJZuov1GPE+Vld7zC3Uon0mF1avi6rsdrM/pQCvyerhlxZ3LrqmgbUvjOcYVqDtoLL7MdjliFGUWtqqXnSgis1fOoJw1M+qVSzxRk9+aKrr+PfG063H+b69QhpCwXqmybX/a3Gw7r2KUtWER5RZ/5lmulrKpvMcgz3JcILdoMmWVLvUsW9V8R6pus6drOaeI/OfB+9ArY09xLZd4Mn+PU1L6MaRK/M1Ui78dr5TZtBPl7XSMVzErv/ybR8VvK94CLbfHEZTVYnvPmJtXzqXKef/nWS4jJ5/y+wzzLMcFKma9SjUblnmWze60F+V0Tv5+YYvIvM0bqUvZt57xuMAfhfuIHwW8/01sUzGHmlYVe8bcmNWKljb6899t2Rdj/j3w2eF9aJfdelNWpvzHnSWNdqPSrBae125atYTaVHj/28A//iwo2EcazxaRFTNepJpN8e9pFeVl4v0w/u+9qlVvqm65kzQmZ2aWrqK8og88y3GBsr8NTOmHi9ylUymrZL5nzOrG3aiq476e5TKE9Mn/7UXPclygovPhVFPQxrNs1ppfKHfl9HrlcnLzKD//LymcUdCc8nc7uV45txMVPz5LNWXewjRn2/0pu533Z8ma9Yup4pc33S5V71yjvc9L6ceVyrkf0ObVv9ern3giq+1OlLvdQYmn6x3Xih84y797qt55txN5uw6kzMat3bLizlUt/o6qi/78MTIuI+Egs7AN5fU6MeGs+2HFd88Id+gt3HO3P5iy2uzoHsRxdvOaBVQ5513HGX+7qoSkaSLyjbfeFI9gPyd+DxU/Iog318EnnWQ9mj1//nz6+NNPrbsk+fxpp55Kxxx1lD94GmpBRGqAmhASIjIBiIJDiEgFEF1CQES6QLFPmSgiuW2652GCiLRfAe5biEh3LvZZiEibBJGpIrKqqpK++eoLKtv055eGVm3aUKcu3cQdy3lUIu78mf/7HBo+ab51w1+yO6/tXkJE2iTctxCR7lzssxCRNgn3bZREZOIX44MOPJD+Juaf3bhxI306ZQotXbaU7hrYmQrFPGa799mbGjlkVGLvISITicQfQ0TG80g8gohMJBJ/vDWJSLvnQYWkSSJy1apVdN6FF1qykR/BvuXmm6l79+52V4mn8Rp9zTXE32NZRj5w333Uvl27WH5D7kBE6qcPEameMUSkeqYcESJSwtVUEal7HiaISMmLQmRBRMr5QET+xcdUEcktrBKP+c/44Ttau3r1Xw127I18eUlK8wtBRDqguexCRLpAcZyCiHTAcNmNioicuam99ItxVXU1PfDAA3R8p0VWL9t16Ei79Ort0uM/T0FEJkVjZUBEyvlARMr5bI0i0iaS1fJvlNs9tScf7Dq8NUlEfjR5Mj30yCNW844/7jg65eT6dxS/8OKL9NIrr1hlzhIrbP/jiCOs/Yb+H0Sk/hGAiFTPGCJSPVOOCBEp4WqqiOQme83D1EP8Mna5WEGthXMeHklfnVkQkU4a9fchIuszcZ6BiPyLhskislo8uvrzjOm0cvnyvxrs2Lv81WIaM9p7fiGISAc0l12ISBcojlMQkQ4YLrtREZHPTl3h+cV4k7gDe+3/rhd36YhZJbOz6KBD/+HS4z9PQUQmRWNlQETK+UBEyvlsjSIya5sOlN2pL2U29Z7Gxo2eSSLSKRkvGT6cDti//nRR3333Hd0ybpzVFX40+/TTTnPrVujnICL1I4eIVM8YIlI9U44IESnharKIlM3DxF3qt/fedPFFF4l5eLzngUpEwCKyTeWcxNP1jjeLhSf+8Jhzya7Uqex72nn7TknniNy0oYSqxSME1S13FXNE7mJXS7rNLF9DuQs/TJrvzKjY/rgU54j8hrLWe8/rs7lxJzHn0n7OS7jvizki8+e+6J6XcLay04EpzxGZveL7hNrxhwU8R2QTMUfk7vV/IY0v+ecRz4dVW7bWLSvuXFaXfSin/W5x59wOajYspcoU51zK30vMp5bCIj2V8yZTzWrv+TszW+1AudunNkdkxXdPuzW/3rncnY4Vc0R6P9JSVfwjbS76Kq7+Y/ffTmeeNyK2SNO6dWtoyYr1tKjRXnHlkh10KxXzlqawAMXK3B1ofYpzRHYon0HlZWX0/Tdf0KaNfz6azY9KtmvfibJzcmlDyTpauqSIRr28WDTLe36h9uWzqHBz/Hxqbv0pyeY5Iv96dMitDJ/jBTJ4bkyv1LjxNtT1iMtSmyNy1UzKXj3LKyTV5Lekyq6He5bjAvnzxOT5KSyAU9WuH21uuq1nzKwNRZRT/IVnOTHLP5V3F/PIpZByF39CmZuWeZasbtGTqlvHzxNqV0qcI/LVW0+3s6TbvN0GpzZH5KJptHnpn/OVygJmbCPmiNzxX7Iisbzybx9PaZGenB0OF3NEes/fyfPTVv3+cSx+sp0MsdhaXp8zkmXHned5dGs3uv8I4CyY1WFPMUdk8vcL5xyRncu/c1ZNur+gkZgjMjMvab6d0VrMvdi0utg+TLotFXNE3vXmz7G7b5J9MeYAKz64njaWrLdiHXz4P8V7jvsiW8X5vVKcI7KYWld6zxHJc2IuKOiXtA+c8dcckS+LfxPj7xQvLy+livKKuPpVrXejzS1SmCOybBXlLvKeY5SDl//thBTniJxGmSUL4trjdrC5SVeq6tDfLSvuHM8RmSfmvU0lVXYWc1qnNEfkr5Szsv78r7l5eWIBN8cckWIRmLxeg1K5NJX/9LyA5D1HJM9pneockZW/vpPStfP3Oju1OSJ/+x/VrJnvGTOz9Y5ijsgDPMvxHJEV0yd4luMCuTufkOIckd/T5iXec8pmFLYW82SL12QKqZzbmLBgn1u1nG0PFHNE9nTLiju3ee0CqhLzbXKqTWXRtbjafx0EFZB2JJNE5P999BE9/OijVtOGDR1K/zzySLuZse3Hn3xCDzz0kHXM80ee+O9/x/IacgciUj99iEj1jCEi1TPliBCREq6mikiveZiKl/65OEGHDh3o+muvpdZiFWUT0lHHHJP0S8cy0eaKivgP+Sa0OYpt4D/qgoK/PuRHsQ9bSpt5tezV4tFnezz+EJOI/zi9/uT9Yff3sSeeoA8+/FPk999nH2Jx4FzR3uT5hWxWHTt2pL6i7W4pcbEatzI4lxoBp4js378/TZ06NbWKKBUKAVtEhnIxyUVS+WLM1U894wziOyN5XrPnn32WcnNzJVHDzbJFpNtV164Vq2av/1OguuXjXOoEmmyzDbVo4b0QUeoRUXJLJsCrZpd/+2TaXcwUd0DmBLgDMvGCJonIuXPn0lVjxlhN5O94991zD+UJwW+najEVxuVXXkkLF/05FcaN119Pu+6yi53doFuISP34ISLVM4aIVM+UI0JESriaKCK9Jii252H6/MsvrZ4dLCaLv0hMaGxCgogMZxQgIsPhnMpVTBWRp5x+OpWWlloy4Jknn7RWWkzsj/PRH5PmF7LbCRFpk9C7hYjUyzdodFNEpNcXY+7nV199RbePH291uWePHnTLf/4TtPtK60NEKsWZNBhEZFI0yHAhkK6IVC0g7SaZJCJZNF45ejT9sWCB1TxeFGy0EI+FhYVUVFREEyZNolmz/nwKpJUQlfcniEq7Tw2xhYjUTx0iUj1jiEj1TDkiRKSEq4kiMpUJivluA15Zmx915rsNXnjuOUkvw8uCiAyHNURkOJxTuYqJIrKyspIGDRliNb9p06b0tLg70i2ZOr+Q3VaISJuE3i1EpF6+QaObIiLdvhifJR4Z7NatG5WKqSB4XuuJEydSZVWV1eULzzuPDjnEexqNoHzSqQ8RmQ4t/2UhIv2z2xprpioidQlIm7lJIpLbtGTJEhoh1gLg995kie88v/3WW2m77bynIEkWQ/V5iEjVROvHg4iszyToGYjIoATd60NEunOxzpooIp13KcnmYbr0sstokfhVjNPEp592vePJygzxfxCR4cCGiAyHcypXMVFEcrtPEZOWsxzgHyr+K345z8jIqNcdU+cXshsKEWmT0LuFiNTLN2h0U0Qk9yOVL8Zcrn+/fjRq5EjeNSpBRIYzHBCR4XDeUq7iJSJ1C0ibo2kiktu1bNkyeuKpp2j6D/XnYu216650trgphT8rmZQgIvWPBkSkesYQkeqZckSISAlXE0VklOdhgoiUvNgUZkFEKoQZMJSpIvLGm2+mn2bMvT0kxwAAOzdJREFUsHp34fnn0yEHHxzXU5PnF7IbChFpk9C7hYjUyzdodJNEJPdF9sWYf/g47dRT6e+HHUZZWVlBu668PkSkcqSuASEiXbHgZBICyURkWALSbpaJItJuG68NMGfOHNoonohr37YttRdrBHQU/5mYICL1jwpEpHrGEJHqmXJEiEgJVxNFZJTnYYKIlLzYFGZBRCqEGTCUqSLy66+/pnF33mn1joXAkJMH0wH77R+J+YXsIYGItEno3UJE6uUbNLppItLuD38xLi4upqXijp3GYvE0XjyvU6dO1nuMXca0LURkOCMCERkO5y3lKokiMmwBaXM0WUTabYzCFiJS/yhBRKpnDBGpnilHhIiUcDVRREZ5HiaISMmLTWEWRKRCmAFDmSoiuVsPPvQQTf7kE2kPTZxfyG4wRKRNQu8WIlIv36DRTRWRQfvVEPUhIsOhDhEZDuct5Sq2iGwoAWlzhIi0SQTbQkQG45dKbYjIVCilVwYiMj1eqZaGiJSQMlFEcnOjOg8TRKTkxaYwCyJSIcyAoUwWkTU1NTT544/p6QkTqLy8vF5PTZ1fyG4oRKRNQu8WIlIv36DRISKDEvyrPkTkXyx07kFE6qS7BcauqaKajSsoc5uGnesQIlLNawsiUg1HWRSISBkdf3kQkf64edWCiJQQMlVEcpOjOA8TRKTkxaYwCyJSIcyAoUwWkXbXysSiNUViYasl4jHKKMwvZLcbItImoXcLEamXb9DoEJFBCf5VHyLyLxY69yAiddJFbF0EICLVkIWIVMNRFgUiUkbHXx5EpD9uXrUgIiWETBaRdrOjNA8TRKQ9anq3EJF6+aYTPQoiMp3+mFQWIjKc0YCIDIez36tARPolV78eRGR9JjrOQETqoIqYuglARKohDBGphqMsCkSkjI6/PIhIf9y8akFESghFQURKmm9cFkRkOEMCERkO51SuAhGZCiV/ZSAi/XFLtxZEZLrEwi0PEamON0SkOpaySBCRMjrIM5UARKSakYGIVMNRFgUiUkbHXx5EpD9uXrUgIiWEICIlcHxkQUT6gOajCkSkD2iaqkBEagIrwkJE6mPrjAwR6aRh3j5EpLoxgYhUx1IWCSJSRgd5phKAiFQzMhCRajjKokBEyuj4y4OI9MfNqxZEpIQQRKQEjo8siEgf0HxUgYj0AU1TFYhITWBFWIhIfWydkSEinTTM24eIVDcmEJHqWMoiQUTK6CDPVAI8n/bSJUtMbV5k2tWxUydiqeOWSktLaXN1tVsWzqVBoKCwkLKysqwavDDlpo0b06iNom4EsrKzacOGDdS3b19auHAhlYv3g6qqKreiOJcGgUYFBbRgwQIaOHAgTZ8+PY2a+otm1Iqk/zLJrwARmZyNnxyISD/U0q8DEZk+M101ICJ1kYWI1Ec2PjJEZDwP044gItWNCESkOpaySBCRMjrIAwEQAAEQMJHA8uXLYyLSxPZFtU3z5s2DiHQbPIhINyr+z0FE+meXTk2IyHRo6S0LEamPL+6I1MfWGRki0knDvH2ISHVjAhGpjqUsEkSkjA7yQAAEQAAETCQAEalnVCAik3CFiEwCxudpiEif4NKsBhGZJjCNxSEi9cGFiNTH1hkZItJJw7z9Ob/+iseuFA3L9n/7GzVt1sw1Gj8yWCb+QwpOIL9RIyoUjw4igQAIgAAIgEBUCEBE6hkpiMgkXCEik4DxeRoi0ie4NKtBRKYJTGNxiEh9cCEi9bF1RoaIdNLAPgiAAAiAwNZIoGT9evrl55+3xq4r7fMuvXpR48aNXWOuW7uWKisrXfNwMnUCLVq2pGwxpyEndhmrV61KvTJKuhLIyc21Xpv2HJEbSkqI541FCkaAf/wtKirCo9luGCEi3aj4PwcR6Z9dOjUhItOhpbdsoohcsngxzRV3MCEFJ8Cvc/5A65aqxWTnK1ascMvCuTQJZGZmUrt27axa/fv3p6lTp6YZAcVBAARAAARAINoEsGq2mvHDqtlqOMqiYNVsGR1/eVg12x83r1r8Xa64uBgi0g0URKQbFf/nICL9s0unJkRkOrT0lk0UkXqvhuggoJcARKRevogOAiAAAiBgJgGISDXjAhGphqMsCkSkjI6/PIhIf9y8akFESgjxot08HwCSGgJthfXOEHfXuKWKigqqEbePIwUnkJuXR1lZWcEDIUJgAiwihwwZEntEInBABACBBiTwxRdf0KxZsxqwBbg0CIAACIAACIRPACJSDXOISDUcZVEgImV0/OVBRPrj5lULItKLEPJBAARAwCeB119/nWpqanzWRjUQMItAMzGXyyGHHGJWo9AaEAABEAABENBMACJSDWCISDUcZVEgImV0/OVBRPrj5lULItKLEPJBAARAQBEBnogbd1mrgdmkSRPq0LGjazCeVmPjhg2ueTiZHoGMjAzapmnT9CqhNAiAAAiAAAhsQQQgItUMJkSkGo6yKBCRMjr+8iAi/XHzqgUR6UGIH89GUkOAv9DKEljL6KSe58U59UgoqZrAH/Pn04/Tp6sOu1XGw6rZ4Qy7c9XscK6Iq4AACIAACICAWQQgItWMB0SkGo6yKBCRMjr+8iAi/XHzqgURKSGExWokcHxkYbEaH9B8VOE/6oKCAh81UUU3AYhIdYQhItWxlEWCiJTRQR4IgAAIgMDWQAAiUs0oQ0Sq4SiLAhEpo+MvDyLSHzevWhCREkIQkRI4PrIgIn1A81EFItIHtJCqQESqAw0RqY6lLBJEpIwO8kAABEAABLYGAhCRakYZIlINR1kUiEgZHX95EJH+uHnVgoiUEIKIlMDxkQUR6QOajyoQkT6ghVQFIlIdaIhIdSxlkSAiZXSQBwIgAAIgsDUQgIhUM8oQkWo4yqJARMro+MuDiPTHzasWRKSEEESkBI6PLIhIH9B8VIGI9AEtpCoQkepAQ0SqYymLBBEpo4M8EAABEACBrYGAqSJyvph7/Mtp0+i777+nVi1b0o49e9Kuu+xCPXr0MHJYICL1DwtEpHrGEJHqmXJEiEgJV4hICRwfWRCRPqD5qAIR6QNaSFUgItWBhohUx1IWCSJSRgd5IAACIAACWwMB00QkL/D55ttv0aTnnqeampp6Q3DKySfTccceS6YtYAkRWW+olJ+AiFSOlFSJyIqKClqwYAGVl5cT/w3n5+fTDjvsQFlZWXGNLlm/nhYtWkTVmzfHnW/frh21Ff+pTA3ZJohIyUhCRErg+MiCiPQBzUcViEgf0EKqAhGpDjREpDqWskgQkTI6yAMBEAABENgaCJgmIj+dMoXue+CBGPrOnTtTtpAZCxYutAQHZ/zzyCNp2NChsTIm7EBE6h8FiEj1jFWIyNVr1lD//v2JxZ8zXXjBBXT55ZfHTi1dupQG7Luv6w8MmZmZNF3c/dysWbNY+SA7Dd0miEjJ6EFESuD4yIKI9AHNRxWISB/QQqoCEakONESkOpaySBCRMjrIAwEQAAEQ2BoImCQiN23aROcKeVFaWmqhHzJ4MJ1w/PHW/i+//EJjb7uNysrKrLsh7xk/nlhSmpIgIvWPBESkesYqROSGkhLq26+f9bfpbCHftfzuO+/QTjvtZJ1eI4Rl3733purqamcxa59F5FdTp1Kbtm3r5fk50dBtgoiUjBpEpASOjyyISB/QfFSBiPQBLaQqEJHqQENEqmMpiwQRKaODPBAAARAAga2BgEki8ptvvqHb7rjDws5zQo69+ea4Ifjkk0/o/ocess7tN2AAjbj00rj8hjyAiNRPHyJSPWMVIpJbtXLFClq8ZDHdfc+99Nlnn8UaurcQjy/897+xqRSKiopo8eLF1t3NJw8ZYpU7WUy3cMnw4cofzW7INkFExl4C9XcgIuszCXIGIjIIvdTrQkSmzirskqaJyKqqKvpYfGCdM2cO/f7HH5GY6NweM4hIm4TeLUSkXr6IDgIgAAIgYD4Bk0Tka6+/TpOef96Cdv6559Jhhx4aB5C/v54kpAXPHcl3W018+mkqLCyMK9NQBxCR+slDRKpnrEpE2i276qqr6IUXX7QPre3D4seDI8V0Comp27bbWqdGizrnir/3ZGn5smU0/YcfaN68eVQi7r7cuHEjtWnThrp160b7ih8k2A/Iko42ya7HeRCREkKmi0h7pTR+wa0Xk5r26N6deopV0vr27WvMPzhOvBCRThr69iEi9bENGtkkEVks5iC54847aaGYDNktmTrRud1WiEibhN4tRKRevogOAiAAAiBgPgGTROTDjzxC/zd5sgXtKjG3HH/vS0xnDBtmyQg+f5e4e5JlhAkJIlL/KEBEqmesS0SyKORHsPlxbN6f8umn1KhRo7gOeIlInnPyUnHX8/sffBBXz3mQn5dH119/PQ0W0zgkS7aIVNGmZNdIPA8RmUjEcWyqiPRaKa2dWE3pumuuoXaK5g9wIAm0CxEZCF/KlSEiU0YVekFTRCTfCTlc/KO1QjwiwCk7O5v4g0sUJjq3Bw0i0iahdwsRqZcvooMACIAACJhPwCQR+fIrr9B/6+6mOlsIxyOPOKIewEHicc7Kykrr/OgrrqC99tqrXpmGOAERqZ86RKR6xrpEZA9xA9kF559Pl9RNnzDysstouHj82pm8ROSkSZPommuvdVYhnkuyadOmtG7dutjiVVzgFfHe0WfPPePK2ge2iFTRJjum1xYiUkLIVBGZuFJa61atqEmTJrRs+fLYxMVs028XkxV37NBB0sNwsyAiw+ENERkOZz9XMUVEvv7GG/Tsc89ZXWgrfoG7XvwDxj9gcDJ9onOrkeJ/EJE2Cb1biEi9fBEdBEAABEDAfAImicivvv6abhdPtHDaTjy2ece4cbG55fjcTz/9RDf+5z+8ayVeOZtX0DYhQUTqHwWISPWMdYrI9997j07497/pB/FYdU5OjnVXZAeHv/ESkV9Nm0ZDTj2VCgsKaIj4AWL//fenXr16WU/Hrl27lm655RbiHy849ROL5fBclG7JKSKDtsktvts5iEg3KnXnTBSRbiulHX/ccdY/QHxr7qOPP04sKjkNEEvEjxwxoq43Db+BiAxnDCAiw+Hs5yqmiMjhl1xCS4qLrS7cfMMNtPPOO8d1x+SJzu2GQkTaJPRuISL18kV0EAABEAAB8wmYJCI3bNhgrZpdXl5ugRsoJMagk06y9pcsWWJJyFWrVsWgJrtrMlYgxB2ISP2wISLVM9YpIj8Uj1TzjwfHHHus1fBjjj6a7r333lgnvEQkF9wk5oNsJEQk3wmZmCqFHzrgoINoqZiSKz8/n36dPTuxiHXsFJEq2uR6kYSTEJEJQJyHJopIr5XSqsQ8AxeKW3r5HyCeoPjeu++mTh07OrvVYPsQkeGgh4gMh7Ofq5ggIvl9zZ7EnO+cfm7ixHpdcZYxbaJzu7EQkTYJvVuISL18ER0EQAAEQMB8AiaJSKb1iZhL7v4HH4yB673HHtb+jJkzrTnnYhli59qrr6Y96vKd5xtiHyJSP3WISPWMdYtIbvGVV15JL770ktX4l19+mfbq08faT0VEcsGysjKaO3cuLRfTbvHCNTz3JD8x26lTJ3ro4Ydjq3RP//57atGihRXb+b9EEcl5QdvkjO+2DxHpRqXunIki0mulNG6687HLY485mk475VRJL8PLgogMhzVEZDic/VzFBBHJP1KcI+Yj4cRTN9zv+NXN2SdTJzq32wgRaZPQu4WI1MsX0UEABEAABMwnYJqI5PUCXnn1VXpBiAvedyb+kZm/w9pzRPLnPFOm6oKIdI6Unn2ISPVcwxCRK4VA3Fc8Vs1PuPKTam+9+SZlZWWRl4hcLRa6mThhAj3+xBOxKfpkBKZNnWqtC5BYxk1E+m1TYuxkxxCRyciI8yaKyFRWSnPOIbm3WEntSrGimgkJIjKcUYCIDIezn6uYICJ5oZrBp5xCNTU1lJubSy/UzRWZ2B9TJzq32wkRaZPQu4WI1MsX0UEABEAABMwnYJqItInNmTOHPhIraE8T80bymgG7ibnhDj/8cBolFqjhR7f5qRb+nMdzz5mQICL1jwJEpHrGYYhIbvXjYoq9sWJOR0533H47nXjiiVIRyXc+njhwIC0qKrLq8P/4b75Zs2bUSrwfrF692lqRO5YpdtIRkVwv3TY5r+W1DxEpIWSiiExlpbT3xFwDTzz5pNWzzp0707133SXpZXhZEJHhsIaIDIezn6uYICK53RddfDEVi7lCOF0zejT17t3b2rf/Z/JE53YbISJtEnq3EJF6+SI6CIAACICA+QRMFZFu5H777Te6UjyOzYllxGPisUxTEkSk/pGAiFTPOCwRyXdDHnrYYVQkxOI24rHqL774gnrttpvVodFXXUXnnntuXOdGiZvNeCVsTm3E4qNXi+90hx16KBU2bhwrt3LlSrrxppvonXfesc6lKyLTbVPswinsQERKIJkoIr1WSuPb80ePGUNzxT9CnHLFL2AvPP+8pJfhZUFEhsMaIjIczn6uYoqIdP6gwfOE3Hj99bHHdkyf6NzmDhFpk9C7hYjUyxfRQQAEQAAEzCcQJRF53Y030qxZsyyoJq2YzQ2CiNT/WoeIVM84LBHJLf/4449p6LBhVidYPD766KPWfqKIrKqspB477mg94cbTMXws7ozmsXdLN998Mz351FNWVroikiul2ia3a8vOQURK6JgoIt1WSjtJ3JLLt+GyhORJTl+qM+PcNdmjl5Kua8mCiNSCtV5QiMh6SIw5YYqI5HmDLh4xglaI+Ug48SM7u+6yi7Vv+kTnViPF/yAibRJ6txCRevkiOgiAAAiAgPkEoiIinTes8N2QD95/P+VkZxsDGCJS/1BARKpnHKaI5NaffsYZNGXKFGsVbJ5Ki1OiiORVsPfp39/KO+CAA2jCM89Y+4n/4xW1Dzr4YFoh7ozk5EdEcr1U2sTl0kkQkRJaJopIbm7iSmnt27Wj7bbbjubPn09LxVwBzrTdttvSnWKOARMSRGQ4owARGQ5nP1cxRURy2xcvWULjxHvDkuLiel0xeaJzu7EQkTYJvVuISL18ER0EQAAEQMB8AlEQkVPFIhR3iYVpbHFx+ciRtE+/fkbBhYjUPxwQkeoZhy0i582bR4f//e+xv2XuUaKI5Eemd9xpJ6sMr449+f/+j9q0bRvXeZ6m4aLhw4nnkrWTXxGZSpvsa6S6hYiUkDJVRMpWSuPutBNiclmdkNxvv/1ohJgPzoQEERnOKEBEhsPZz1VMEpHcfr4z8p1336WZ4hGe38Q/elGY6NzmDhFpk9C7hYjUyxfRQQAEQAAEzCdgsohcJRakmDBxIk2dNi22gvYBYvXdiy+6yHpiziS6EJH6RwMiUj1jVSJy06ZN1mPOfCPI4sWLqXnz5nTRhRdaDe7UqRP9XchHO40dO9ZaCds+ThSRfP7Y446jH3/80SpSUFBARx91FO299960bt06+vzzz+njTz6xq8e2Fwsxydc66MADiZ2B6jbFLpTCDkSkBJKpItJusr1S2mxhufkF10s8WtmnTx9LLjwmlnDnNEg8tj1QrLhkQoKIDGcUICLD4eznKqaJyGR9MHmic7vNEJE2Cb1biEi9fBEdBEAABEDAfAImiUiepou/582dO5fWrV9PVVVVMYBZWVl0zllnWQtWxE4atAMRqX8wICLVM1YlIl95+WVrRftkLZwixGHXbt2s7BLxtz1A3FDGf++c3ETkzBkz6BghI+27oK2CCf/jKRr67rUXvff++3E5Z4v3iTFiXRHVbYq7iMcBRKQEkOkiMlnTbxYG/Yc6O37ZJZfQvvvum6xoqOchIsPBDREZDmc/V4mKiDR5onObO0SkTULvFiJSL19EBwEQAAEQMJ+ASSLyu++/p1tuuy0OGi9O2r17dxp25pnUtWvXuDyTDiAi9Y8GRKR6xqpE5C8//0wnDR4ck4t2S/kHhJ49e9KkZ5+17pK0z7/xxht0qZjTn9cCuf666+gMMXdkYvrmm2/ommuuiS1UbOfzqtsnipvRLhUuqLy8nP75r3/F5onMz8ujcePG0THHHEM62mS3wWsLESkhFEUROXv2bBojXqiceL6ARx96iPLz8yW9DC8LIjIc1hCR4XD2c5UoiEjTJzq3uUNE2iT0biEi9fJFdBAAARAAAfMJmCQieYoung9yXUkJZWVmUtcuXahHjx7Wwhamk4SI1D9CEJHqGasSkX5a9uuvv1JhYSG1E/M/5uTmuoZgZ1W0aBEtWLjQyuf3A34d6EqptCmVa0NESihFTUTyfG9jrr2WfheL1nAafsEFdNBBB0l6GG4WRGQ4vCEiw+Hs5yqmi8goTHRuc4eItEno3UJE6uWL6CAAAiAAAuYTMElEmk8reQshIpOzUZUDEamK5F9xGlJE/tWKLW8PIlIyplESkTzRKN+mP1tYc04dO3Sge+66i/hWX1MSRGQ4IwERGQ5nP1cxUUTy+9zMmTNpspiXJAoTndvcISJtEnq3EJF6+SI6CIAACICA+QQgItWMEUSkGo6yKBCRMjr+8iAi/XHzqgURKSEUBRHJK6XxqkjvvvcerVm71upNo0aN6HoxVwDPFWJSgogMZzQgIsPh7OcqpojIT6dMoQ8+/JAWL1lCZWVlsVUWuU+mT3Ruc4eItEno3UJE6uWL6CAAAiAAAuYTgIhUM0YQkWo4yqJARMro+MuDiPTHzasWRKSEkIkiUrZSGnelp5gTYKSY1LRly5aSnjVMFkRkONwhIsPh7OcqpojIESNH0kIxl4gzRWWic7vNEJE2Cb1biEi9fBEdBEAABEDAfAIQkWrGCCJSDUdZFIhIGR1/eRCR/rh51YKIlBAyUUS6rZTGXWgtlmY/5OCD6YTjjzfqcWwnXohIJw19+xCR+tgGjWyKiFwi7oScIR7HrqisoLZt2loTnbdr1y4SE53bYwARaZPQu4WI1MsX0UEABEAABMwnABGpZowgItVwlEWBiJTR8ZcHEemPm1ctiEgJIRNFpNtKaV3Eamm8mpLpCSIynBGCiAyHs5+rmCIi/bTdtDoQkeGMCERkOJxxFRAAARAAAXMJQESqGRuISDUcZVEgImV0/OVBRPrj5lULIlJCyEQRKWmu8VkQkeEMEURkOJz9XAUi0g819zoQke5cVJ+FiFRNFPFAAARAAASiRgAiUs2IQUSq4SiLAhEpo+MvDyLSHzevWhCREkIQkRI4PrIgIn1A81EFItIHtJCqQESqAw0RqY6lLBJEpIwO8kAABEAABLYGAhCRakYZIlINR1kUiEgZHX95EJH+uHnVgoiUEIKIlMDxkQUR6QOajyoQkT6ghVQFIlIdaIhIdSxlkSAiZXSQBwIgAAIgsDUQKCsro6XFxVtDV7X2kT+7sdRxS6WlpbS5utotC+fSIFAgpmvLysqyatTU1NCmjRvTqI2ibgSysrOJFwzu27cvLVy4kMrLy6mqstKtKM6lQaBRQQEtWLCABg4cSNOnT0+jpv6iGWI+xFr9l0l+BYjI5Gz85EBE+qGWfh2IyPSZhVUDIlIdaYhIdSxlkSAiZXSQBwIgAAIgAAIgAAIgsKUTWL58eUxEbul9DbN/8+bNg4h0Aw4R6UbF/zmISP/s0qkJEZkOrXDLQkSq4w0RqY6lLBJEpIwO8kAABEAABEAABEAABLZ0AhCRekYYIjIJV4jIJGB8noaI9AkuzWoQkWkCC7E4RKQ62BCR6ljKIkFEyuggDwRAAARAAARAAARAYEsnABGpZ4QhIpNwhYhMAsbnaYhIn+DSrAYRmSawEItDRKqDDRGpjqUsEkSkjA7yQAAEQAAEtgYCJevX06+//LI1dFVrH3fedVcqbNzY9Rrr162jSsy758omnZPNW7SgbDGnISd2GWtWr06nOsq6EMjJyaEK8dq054jcKOaL5HljkYIR2KZpUyoqKsKj2W4YISLdqPg/BxHpn106NSEi06EVblmISHW8ISLVsZRFgoiU0UEeCIAACIDA1kAAq2arGWWsmq2GoywKVs2W0fGXh1Wz/XHzqsXOolgsAobFalxIQUS6QAlwCiIyALw0qkJEpgEr5KKVFRXEqwIiBSeQk5tLhWJlQLfE65xVVVW5ZeGcDwK5gjUSCIAACIAACGytBCAi1Yw8RKQajrIoEJEyOv7yICL9cfOqBREpIcRL3n/39deSEshKh8CeYsn7rKws1yrr1q6FOHAlk/5Jvs05Ly8v/YqoAQIgAAIgAAIgAAIgAAIgEEcAIjIOh+8DiEjf6FKuCBGZMqqUC0JEpowqrYIQkWnhQmEQAAEQAAEQAAEQAAEQAAEQAIGthQBEpJqRhohUw1EWBSJSRsdfHkSkP25etSAivQghHwRAAAQUEeDpHjARtxqYfHd1skeG+dFsvqMdSQ2BZHeyq4mOKCAAAiAAAiBgNgGISDXjAxGphqMsCkSkjI6/PIhIf9y8akFEehFCPgiAAAgoIoDFahSBFGGwWI06lrJIWKxGRgd5IAACIAACWwMBiEg1owwRqYajLApEpIyOvzyISH/cvGpBRHoRQj4IgAAIKCIAEakIpAgDEamOpSwSRKSMDvJAAARAAAS2BgIQkWpGGSJSDUdZFIhIGR1/eRCR/rh51YKI9CKEfBAAARBQRAAiUhFIEQYiUh1LWSSISBkd5IEACIAACGwNBCAi1YwyRKQajrIoEJEyOv7yICL9cfOqBRHpRQj5IAACIKCIAESkIpAiDESkOpaySBCRMjrIAwEQAAEQ2BoINJSIXFJcTD///DPNmDHDmhf74uHD08a9YuVK+v777+nHn36iFStWUK9dd6VdxX977L47hT0HNERk2sOXdgWIyLSReVaAiPRE5KsARKQvbKgEAiAAAukTgIhMn1myGhCRycioPQ8RqZYnooEACIAACESPQJgi8tdff6VPPv2Uvvn2W1pfUhIH6/lnn6X8/Py4c7KDBQsW0NXXXkvl5eX1ih104IF04fnnU2ZmZr08XSd0iMjly5ZZgnWzWKSQ+9KhQwdq1apVXBd4scjFRUW0dt26uPO5OTnUo2dP5UK2IdsEERk3xEoOVInIiooK4r9J/nvkhTX5b3mHHXao9/orWb+eFi1aRNXidetM7du1o7biP5WpIdsEEalyJBELBEAABCQEICIlcNLMgohME5jP4hCRPsGhGgiAAAiAwBZDICwRycJsyKmnUmVVlSu7dETk4iVL6MrRo6msrMyKxdKDRcYfQoTY6bBDDqHzzzvPPtS+VS0ix48fT/c/8EBcu5s0aUIffvCBJSTtjOuuv54mTpxoH8Ztuf9XXnll3LkgBw3dJojIIKPnXleFiFy9Zg3179+fWPw504UXXECXX3557NTSpUtpwL77Uo0Q64mJRft0cXdzs2bNErN8HTd0myAifQ0bKoEACIBA+gQgItNnlqwGRGQyMmrPQ0Sq5YloIAACIAAC0SMQlohkMg8+9BD9PHs29ezenXbaaSea/PHHNGfuXAtaOiLyTiHppn71lVXv4IMOovPOOYeys7OpSNwZePlVV1FlZaWVd+e4cbTddttZ+7r/p1pEPiRY3X7HHfWa/Y8jjyTOs9Ptt99ODz38sH0Ytz3zzDPp+uuuizsX5KCh2wQRGWT03OuqEJEbxN3Nffv1i/0wYF8pIyOD3n3nHetvnc+tEcKy7957U3V1tV0ktmUR+dXUqdSmbdvYuSA7Dd0miMggo4e6IAACIJAGAYjINGB5FIWI9ACkKBsiUhFIhAEBEAABEIgsgTBFZCKkO++6i6ZOm2adTlVErhOPdp4lxCPfVdW2TRu6R8TIy8uLhf7yyy9p/D33WMdH/P3vdM5ZZ8XydO6oFpGbhaz5bd48mitE7cWXXBLX9P8+/zzts88+1rkqIV1nzJxp3Y321ltv0Qsvvmidf/ftt61HY3MdbOKC+Dho6DZBRPoYNI8qKkQkX2KlmKN18ZLFdPc999Jnn30Wu+reQjy+8N//EktJTvxjweLFi63Ht08eMsQ6d/LJJ9MlYo5Y1Y9mN2SbICKtocX/QAAEQEA/gYYQkSomOucPsj/++KP1Ie4nMWF669atabfddqM+e+5pfcDVT67+FSAi6zPRcQYiUgdVxAQBEAABEIgSgaiJyDeFYJtQ9yjyKUJgHH/ccXG4rUfATzvNuisyNzeXnn7iCWrUqFFcGR0HqkWk3UYWN/vtv799aG27i7n33n/vPcoSd4E606OPPkq33nabdWrBH384s+L2WV7yQkH8+XfV6tW0XshdjtWtSxdrXklbcsZVchzoaJMjfNJdiMikaHxnqBKRdgOuEnck2zLcPvewuIP3SHEnb2Lqtu221qnRos65556bmB075nlJp//wA80TYr5E3H25ceNGaiN+hOjWrRvtO2AAsfSTJR1tkl2P8yAivQghHwRAAAQUEQhLRKqc6JwnU35YfGj7aPLkehT4w+stN98c2iM9zgZARDpp6NuHiNTHFpFBAARAAASiQSBqInLsrbfS99OnW3DHi8eSt62TGU7ad4k7Ir8Qd0Zy4s9yPcWiLbpTGCKyV69e1irjVr/+8x+y7yiz+5aKiPz4k09oxIgRlny06yVuWe7cIdi2F4vjuCWniFTRJrdruJ2DiHSjEuycLhHJopAfwebHsXl/ilikKvEHAS8RyXNOXnrppfS+mBc1WcoXd/xeL+ZJHTx4cLIiZItIFW1KepGEDIjIBCA4BAEQAAFdBMIQkSonOmcOjz/5ZNw/bl3FL8ErV66kUsfk57eNHUtdxPkwE0RkOLQhIsPhjKuAAAiAAAiYSyBqInLEyJG0UKy6y3PKvfzCC7FHPp2E333/fXryqaesU5eL8vuI+et0pzBEJN9ZNk4IwgViUZ6CggKaKmSrc3EPLxHJn6N3FTKztLQ0DgfHYmlkz63JmfuLuzAnTpgQV84+cIrIoG2yY6ayhYhMhVJ6ZXSJyB49etAFYuX6S4RI5DTysstouHj82pm8ROSkSZPommuvdVax/u6bNm1K68Qq8XxDiZ1eeeUV62k2+9i5tUWkijY548r2ISJldJAHAiAAAgoJhCEiubmqJjpfJD7EXio+nHLKycmhcbfcYt3izx/Snnz6afrgww+tPH5E+2rxyECYCSIyHNoQkeFwxlVAAARAAATMJRA1EXnK6adbIo3l2aQkouzzzz+nu++7z4I+bOhQ+qfLY6GqRyQMEfmEeMw8RzxCffoZZ1jNT1yMxktEcqUhYl4+npezv5hj8jjxWDt/zu0qHnHlxNwuvOgi2rBhg3X8ohC9PMdfYnKKSBVtSoyf7BgiMhkZ/+d1ikiePuCEf/+bfhCPVfN3Lb4rsoPjLlsvEfmVeJ0OOfVUKhR/6/y6ZTnOd+AWFhbS2rVr6Rbx3e1lISA59RM/NvBclG7JKSKDtsktvts5iEg3KjgHAiAAAhoIhCUiE5vuZ6JzjvH0M8/Q2+++a4UbfsEFdJBYddFO/Ivw5VdeSUViMmWeXPkxsRphy5Yt7WztW4hI7YitC0BEhsMZVwEBEAABEDCXQJREZJW4a++kukcwWWg8cO+9rmBZfNwsJAUnnkOS55LUncISkYcecggNGzbMWnGc7wr9QNz92V2sQs4pFRHJP7iXl5dbMseNyUsvvURXiM/AnP4jHms/5ZRT6hVLFJFB21TvAklOQEQmARPgtE4R+aF4pPqnn36iY4491mrhMUcfTfc6/ma9RCRX2iTmg2wkRCS/1hNTpXh0+wDx/W3p0qWUn59Pv86enVjEOnaKSBVtcr1IwkmIyAQgOAQBEAABXQSiJCJZNJ4ufiHnuUeyxS/L/Is6zwnpTCwpWVZyOnnQIPr3CSdY+2H8DyIyDMpEEJHhcMZVQAAEQAAEzCUQJRG5adMmOrXubsDtxNyQd4rHlN0SL8Ry7Q03WFn/OOIIOkuIO90pTBHJn7kPPfxwYqnI8znyI6ycUhGRNgd+MohXL16+fDmtFgvWFIgFfZq3aEFZWVl0Tt3CIWeLFcfHjBljV4lt3USkijbFLpBkByIyCZgAp3WLSG7alUJsvygEN6eXX36Z9urTx9pPRURywTIxZRavHr9crMzNC9fwNAJNmjShTp060UPiZhF7le7p339PLcRrODElikjOD9qmxGskHkNEJhLBMQiAAAhoIhAlEfn777/T5XWPW/M/hqPrfvl1olm8ZAldXDevya677EI3iomQw0oQkeGQhogMhzOuAgIgAAIgYC6BKIlInhPuRPHjcE1NDbVu1YoeFRLCLX3z7bd0W52kHHzSSXSieDxUdwpTRHJfxo0bRw8/8ojVrccff5wOO/TQlEQkS5tHRD1+PNsrnSIeh/2PWBQnMbmJSC7jt02J8ZMdQ0QmI+P/fBgicqUQiPuKx6r5BpCdd96Z3nrzTUt4e4nI1WKhG56n9HExJUHivKZuPZ42dSrxayQxuYlIv21KjJ3sGCIyGRmcBwEQAAHFBKIkIr8Xv5iNve02i8Cp4kPWcXWPDCQiGSQe5amsqqJ27drRQ/ffn5it7RgiUhvauMAQkXE4cAACIAACILAVEoiSiOThOeucc2iNmB+On2R54bnnXEeMV4Z+QCzswunC886jQ8TjzLpT2CJyQ0kJDdhvPyoRW74zbPJHH9Ez4kmeW+s+3y744496XWZhObbukXU7kzm2F59zOS0Vd5s5F6xJV0T6aZPdjlS2EJGpUEqvTBgiklvkfO3xiuwnnngiyUQk3/l44sCBtKioKNYhni6LF2dqJX6E4Lt4eUVuZ0pHRHK9dNvkvJbXPkSkFyHkgwAIgIAiAlESkR9NnkwP1f2KLPuAGvuwKyZYfuH55xWR8g4DEenNSEUJiEgVFBEDBEAABEAgygSiJiJHi0eF54jHNDk9/+yz1txwifxfefVVel4stMLpmtGjqXfv3olFlB+HLSK5A7xS8KjLL7f6MrruSZ9kIpLF5EFCyNorDQ8Wd5aeKhYC2WmnnWIsNotHXr8TP9afJPI4pSsiuU46beLy6SSIyHRopVY2LBHJd0MeethhxHfTbiMeq/7iiy+o1267WY3k1+65ddMB2K3m1zW/lji1adOGrhZ/x3zXb2HjxnYRWrlyJd140030zjvvWOfSFZHptil24RR2ICJTgIQiIAACIKCCQJRE5EtifpIX6uYquXLUKNcVAZnJqCuuoPl1vyg/N3EiNRLz54SRICLDoIw5IsOhjKuAAAiAAAiYTCBqIvJe8YTKFPF4MadkkvHqa66hX+fMscrcfeed1LVrV2tf5/8aQkTyHJHHiqd6Zs6aZd0hOkgIxIni8yqnxDsiHxJ3iN5+xx1W3vniLlGeI88t8Z1me9bN4edHRKbTJrfry85BRMro+MsLS0Ry6z7++GMaWjdfK4tHntOUU6KIrBJz+ffYcUdrCgb+7vWxuIHE7ZFrrnuzWFDpyaee4l1KV0RynVTbxGXTSRCR6dBCWRAAARAIQCBKInLipGfpjTffsnp77dVX0x577OHa8zHXXkuzf/3VyntKPM7CjwOEkSAiw6AMERkOZVwFBEAABEDAZAJRE5Hfivkfb62b//FIsRDN2QkL0WzYuIHOGDrMuvOPp9Z58L77iB/p1J0aQkRyn6ZPn07HuyyomCgirxFydlLdo+yvv/aq+Ozrfpcoi8zr6uZF9yMi02lTumMCEZkuMe/yYYpIbs3pYrGpKVOmWKtg81yvnBJFJK+CvU///lbeAQccQBPqFg+1Tjj+xytqH3TwwbRC3BnJyY+I5HqptInLpZMgItOhhbIgAAIgEIBAlETkm2+/TRPqfjEeKRakGSBWHHRLl4wYQUViRUH+APuieDSbV9gOI0FEhkEZIjIcyrgKCIAACICAyQSiJiJ5xdwzzxpGmzaVUrZY4flOcZdfl86dY4gfFndZ/Z+YL5HT0DPPpH/94x+xPJ07DSUiuU8jR46kV197La57iSLy/9u7uxA7qgMO4MdE65JYayI0RcXGpaLV2irWoH0QC6XWRhs11RKrWNQKYkz8qggFxYIPEeIHrYii2IJ5K+hL1Sp9KEGRlEowNbQarZoQDERNTIwh1tpzprnL3c3N3Nmbcyezs7952L13zpkzZ35nQ3b/d+ac38Y7SVfef39RZ/myZeGW+Dtu95YeU/1DXBgkPdrdeXx70CAytVulT93nr/JaEFlFaXJ16g4iN2zYEH54/vnF3Y6dnk4MItPP4jfjlAEpqEyrY//lxRfDV+fN61Qvvr/55pth6U03hX/tvfM57Rw0iKzSp3Enr/BGEFkBSRUCBAjkEJhKQeTq1avDA/ET8rRdf9114UfxP8Re21XxU7tPPvkkzJo1KzwVfzmraxNE1iNtjsh6nJ2FAAECBJorUGcQ+corr4StcYGJ9Phu2p5++unw8Y4dxesr4mPFh8WFU2bMmFHMIffdM88Ms2fPLsomfknT66RpdtI2L84fl+6KnBeDitUvvTS2P4WUjz/2WDjyyCMnHj6U98MIIv+xbl3407PPjq2OnVb/Pvnkk8Nhce7yH8T58o455pjiWt6PC3ucG+8c615oZmIQuTo+zn7V1VePXXuaNzP9/nv00UeHt956K6yKH7hv3759rDy9OP3008PFixaF0dHRcG5c9ThtOftUNDiJL4LISWBVrJoriEx/L6XHnFfEu5U3xZs45syZE5beeGPRi7SY0vldf2vde++9xUrYnS5ODCLT/osvuSSsXbu2qJL+DvvJRRcVU2lt27YtpL/j0oJUE7dlMZhM5/r+eeeFFATm7tPE85W9F0SW6SgjQIBARoGpFESui7/Y3R0nN07b4ksvDT9fsmQfic/iatlLrryy+DTuhPnzw8q98+rsU3EIOwSRQ0Dt0aQgsgeKXQQIECAwrQTqCiLT6rc333prZdtrr7kmLLzggp710+9o98W5H/8eH0vutaUwM0298529i2H0qpN73zCCyDNiWPhRXCG81/bTGEqmu0E72yOPPFKEQJ33E4PItP+GG24Izz3/fKdKz++p3bT4x+7du8fKk+ff1qwpQsvcfRo7SYUXgsgKSJOskiuI/GP8YCDNrb+/7a8xOPx6/HsqbR/HwDut+L5j74cQvYLIda+9FhbFMLLz+HZx4IQvafXsBWedFZ597rlxJb+MN5n8Oi5qlbtP407S540gsg+QYgIECOQSmEpB5ObNm8PS5cuLS99fyJgm/r77nnuKOuecfXb4VXzspa5NEFmPtCCyHmdnIUCAAIHmCtQVRKa7k26JCwRu3bq1L0ZaoOLOuGruaaedtt+66e6/Bx56KKyJc0Z2HiVOlUdGRsLt8bHjOlbK7u7cMILIO2Kw07nzs/tc6W6zO6LPkq4P0lNw+OOFC8O/4yKL6Y7JN7oeWe0cm+bU+93DD4dH452i3QFPChq/deqpxQI2abqi9Bj3Aw8+OFbn23EcUqjzpcMPD7n71Olble+CyCpKk6uTK4hc//rr4Wfx57ETLnZ6MTPemZzu4n0qrnCffm472zPPPBNujv9O0/RXd991V/hFfApt4rYmht9pbtM34mPY3Vtadfuyyy4LN8e/5dLP/cILLxybJ3Ik/oyuWLEiLIp38g6jT939KHstiCzTUUaAAIGMAlMpiEyXvTx+Kr8xfjqftvToztyu/xzTvjSHZJpLMm23x7rfO+ec4nUdXwSRdSibI7IeZWchQIAAgSYL1BVEDssgBR/r168PO2LINnrCCWF+vOsqBWt1b8MIIid7DenuyY/io+9HHHHEPnPqdbe1PT7emgLL97dsCccde2z4xoknFgFud51cr6v2qcr5BJFVlCZXJ1cQObmz/r/2P+OCoGn6ha/FaRXStAy9tjSNw8b33gvvvPtuUXzSSSftdwXtXsdPdl+VPlVpUxBZRUkdAgQIZBCYakHkn194ITwaV8JO23lxXp1lS5eOKaQ7Jm+Nn9rviY/+pE/lf//EE8Wny2MVhvxCEDlk4L3NuyOyHmdnIUCAAIHmCkz1ILIpsk0IIptiMax+CCLzyx7MIDL/1TSnRUFkc8ZCTwgQaLlAXUFkronOd8ZPzq+9/vqQ5hlK26VxHpIUSKZfyB9/8smQwsjO/iuvuKJ4XdcXQWQ90oLIepydhQABAgSaKyCIzDM2gsg8jmWtCCLLdAYrE0QO5tbvKEFkPyHlBAgQyCRQRxCZc6LzdNlp0ZrfxJXbOqs3TqQ4I64WeGecnyfNtVPnJoisR1sQWY+zsxAgQIBAcwUEkXnGRhCZx7GsFUFkmc5gZYLIwdz6HSWI7CeknAABApkE6ggic090ni597dq14b6VK8etDpgmTj4zrlSY5ob80n7mLMnE1rMZQWRPluw7BZHZSTVIgAABAlNMQBCZZ8AEkXkcy1oRRJbpDFYmiBzMrd9Rgsh+QsoJECCQSaCOIDJTV/dpJq0c+G6cBPntt98Os+ME36eeckr4clyR7WBtgsh65AWR9Tg7CwECBAg0V0AQmWdsBJF5HMtaEUSW6QxWJogczK3fUYLIfkLKCRAgkElgKgeRmQiyNSOIzEZZ2pAgspRHIQECBAhMAwFBZJ5BFkTmcSxrRRBZpjNYmSByMLd+Rwki+wkpJ0CAQCYBQWQmyNiMIDKfZVlLgsgyHWUECBAgMB0EBJF5RlkQmcexrBVBZJnOYGWCyMHc+h0liOwnpJwAAQKZBASRmSBjM4LIfJZlLQkiy3SUESBAgMB0EBBE5hllQWQex7JWBJFlOoOVCSIHc+t3lCCyn5ByAgQIZBIQRGaCjM0IIvNZlrUkiCzTUUaAAAEC00FAEJlnlAWReRzLWhFElukMViaIHMyt31GCyH5CygkQIJBJQBCZCTI2I4jMZ1nWkiCyTEcZAQIECEwHgV27doXNmzZNh0sd6jUed/zxYWRkpOc5kvF/PvusZ5md1QXSgpIzZ84sDvjv55+HnTt3Vj9YzZ4CMw89tHBcsGBBsXDn7k8/DXv27OlZ187qArNmzQrvxIVQL7/88vDqq69WP7CGmod8EbcazuMUBAgQqEVAEJmPWRCZz7KsJUFkmY4yAgQIECBAgACBtgts2bIldILItl9rnde3YcMGQWSd4M5FgMD0FBBE5ht3QWQ+y7KWBJFlOsoIECBAgAABAgTaLiCIHM4ICyKH46pVAgQIjBMQRI7jOKA3gsgD4qt8sCCyMpWKBAgQIECAAAECLRQQRA5nUAWRw3HVKgECBMYJCCLHcRzQG0HkAfFVPlgQWZlKRQIECBAgQIAAgRYKCCKHM6iCyOG4apUAAQLjBASR4zgO6I0g8oD4Kh8siKxMpSIBAgQIECBAgEALBQSRwxlUQeRwXLVKgACBcQIffPBB2LRx47h93gwm8JWjjgrz58/vefDncZXA7du29Syzc3ICh8yYEebMmTO5g9QmQIAAAQIECBAg0BKBFESOjo6G2267rSVX1IzL+PDDD8PLL79s1exmDIdeECBAgAABAgQIECBAgAABAgQIHGyBXbt2hVWrVh3sbrTy/HPnzg2LFy9u1LUd8kXcGtUjnSFAgAABAgQIECBAgAABAgQIECBAoHUCgsjWDakLIkCAAAECBAgQIECAAAECBAgQINA8AUFk88ZEjwgQIECAAAECBAgQIECAAAECBAi0TkAQ2bohdUEECBAgQIAAAQIECBAgQIAAAQIEmicgiGzemOgRAQIECBAgQIAAAQIECBAgQIAAgdYJCCJbN6QuiAABAgQIECBAgAABAgQIECBAgEDzBASRzRsTPSJAgAABAgQIECBAgAABAgQIECDQOgFBZOuG1AURIECAAAECBAgQIECAAAECBAgQaJ6AILJ5Y6JHBAgQIECAAAECBAgQIECAAAECBFonIIhs3ZC6IAIECBAgQIAAAQIECBAgQIAAAQLNExBENm9M9IgAAQIECBAgQIAAAQIECBAgQIBA6wQEka0bUhdEgAABAgQIECBAgAABAgQIECBAoHkCgsjmjYkeESBAgAABAgQIECBAgAABAgQIEGidgCCydUPqgggQIECAAAECBAgQIECAAAECBAg0T0AQ2bwx0SMCBAgQIECAAAECBAgQIECAAAECrRMQRLZuSF0QAQIECBAgQIAAAQIECBAgQIAAgeYJCCKbNyZ6RIAAAQIECBAgQIAAAQIECBAgQKB1AoLI1g2pCyJAgAABAgQIECBAgAABAgQIECDQPAFBZPPGRI8IECBAgAABAgQIECBAgAABAgQItE5AENm6IXVBBAgQIECAAAECBAgQIECAAAECBJonIIhs3pjoEQECBAgQIECAAAECBAgQIECAAIHWCQgiWzekLogAAQIECBAgQIAAAQIECBAgQIBA8wQEkc0bEz0iQIAAAQIECBAgQIAAAQIECBAg0DqB/wGu/0Lkyo11nQAAAABJRU5ErkJggg==)"
      ],
      "metadata": {
        "id": "_jVjSXQMBr6u"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Two ways to upload data files into Colab:**\n",
        "- Option 1: Upload to the Files sidebar (note that files will be deleted when you close the window)\n",
        "- Option 2: Give Colab access to Google Drive (see below)\n",
        "\n",
        "*Either way, you can obtain the filepath of a file by going to the Files sidebar of Colab, navigating to the file, clicking the \"...\", and clicking \"Copy path\".*"
      ],
      "metadata": {
        "id": "SI9u6vM5sNzB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive, auth\n",
        "drive.mount('/content/drive',force_remount=True)"
      ],
      "metadata": {
        "id": "WpbSL5r5gllA",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 324
        },
        "outputId": "222a9e9b-87c3-460e-8266-460af5d35643"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "error",
          "ename": "MessageError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mMessageError\u001b[0m                              Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-19-04fea3e52a65>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mgoogle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolab\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdrive\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mauth\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdrive\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/drive'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mforce_remount\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/google/colab/drive.py\u001b[0m in \u001b[0;36mmount\u001b[0;34m(mountpoint, force_remount, timeout_ms, readonly)\u001b[0m\n\u001b[1;32m     99\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmountpoint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mforce_remount\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout_ms\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m120000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreadonly\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    100\u001b[0m   \u001b[0;34m\"\"\"Mount your Google Drive at the specified mountpoint path.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 101\u001b[0;31m   return _mount(\n\u001b[0m\u001b[1;32m    102\u001b[0m       \u001b[0mmountpoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m       \u001b[0mforce_remount\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mforce_remount\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/google/colab/drive.py\u001b[0m in \u001b[0;36m_mount\u001b[0;34m(mountpoint, force_remount, timeout_ms, ephemeral, readonly)\u001b[0m\n\u001b[1;32m    122\u001b[0m       'TBE_EPHEM_CREDS_ADDR'] if ephemeral else _os.environ['TBE_CREDS_ADDR']\n\u001b[1;32m    123\u001b[0m   \u001b[0;32mif\u001b[0m \u001b[0mephemeral\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 124\u001b[0;31m     _message.blocking_request(\n\u001b[0m\u001b[1;32m    125\u001b[0m         'request_auth', request={'authType': 'dfs_ephemeral'}, timeout_sec=None)\n\u001b[1;32m    126\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/google/colab/_message.py\u001b[0m in \u001b[0;36mblocking_request\u001b[0;34m(request_type, request, timeout_sec, parent)\u001b[0m\n\u001b[1;32m    169\u001b[0m   request_id = send_request(\n\u001b[1;32m    170\u001b[0m       request_type, request, parent=parent, expect_reply=True)\n\u001b[0;32m--> 171\u001b[0;31m   \u001b[0;32mreturn\u001b[0m \u001b[0mread_reply_from_input\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest_id\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout_sec\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/google/colab/_message.py\u001b[0m in \u001b[0;36mread_reply_from_input\u001b[0;34m(message_id, timeout_sec)\u001b[0m\n\u001b[1;32m    100\u001b[0m         reply.get('colab_msg_id') == message_id):\n\u001b[1;32m    101\u001b[0m       \u001b[0;32mif\u001b[0m \u001b[0;34m'error'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mreply\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 102\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mMessageError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreply\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'error'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    103\u001b[0m       \u001b[0;32mreturn\u001b[0m \u001b[0mreply\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'data'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    104\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mMessageError\u001b[0m: Error: credential propagation was unsuccessful"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Two ways to load CSV files in Python:**\n",
        "\n",
        "*Not recommended:* NumPy's `np.genfromtxt()` function: https://numpy.org/doc/stable/reference/generated/numpy.genfromtxt.html\n",
        "- Can't handle different types of data in different columns\n",
        "- Result is a NumPy 2D array\n",
        "\n",
        "*Recommended:* Pandas' `pd.read_csv()` function: https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html\n",
        "- Has more function arguments to handle tricky data\n",
        "- Result is a Pandas DataFrame, which has labeled columns/rows\n",
        "\n",
        ".\n",
        "\n",
        "**If loading an Excel file, use Pandas:**\n",
        "\n",
        "Pandas' `pd.read_excel()` function: https://pandas.pydata.org/docs/reference/api/pandas.read_excel.html"
      ],
      "metadata": {
        "id": "AXgThUngsWYK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "from datetime import datetime\n",
        "\n",
        "filepath = '/content/sst0n170w_mon.txt'\n",
        "\n",
        "# Load data into the variable \"data\"\n",
        "# See the API link above for function argument info\n",
        "data = pd.read_csv(filepath,delimiter=' ',index_col=0,parse_dates=['Date'])\n",
        "display(data)"
      ],
      "metadata": {
        "id": "RxNDshjomL-t",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "outputId": "23ba89ed-329a-499b-ed68-fa4776516b77"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "            Time    SST  Quality\n",
              "Date                            \n",
              "1988-05-16  1200  27.37        1\n",
              "1988-06-16  1200  27.01        1\n",
              "1988-07-16  1200  27.03        1\n",
              "1988-08-16  1200  26.71        1\n",
              "1988-09-16  1200  26.41        1\n",
              "...          ...    ...      ...\n",
              "2020-10-16  1200  26.52        2\n",
              "2022-10-16  1200  26.59        2\n",
              "2022-11-16  1200  26.87        2\n",
              "2022-12-16  1200  26.90        2\n",
              "2023-01-16  1200  26.60        2\n",
              "\n",
              "[341 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d2846b0c-bf13-410e-bbee-cd1e3cc79683\">\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>Time</th>\n",
              "      <th>SST</th>\n",
              "      <th>Quality</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1988-05-16</th>\n",
              "      <td>1200</td>\n",
              "      <td>27.37</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1988-06-16</th>\n",
              "      <td>1200</td>\n",
              "      <td>27.01</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1988-07-16</th>\n",
              "      <td>1200</td>\n",
              "      <td>27.03</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1988-08-16</th>\n",
              "      <td>1200</td>\n",
              "      <td>26.71</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1988-09-16</th>\n",
              "      <td>1200</td>\n",
              "      <td>26.41</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-10-16</th>\n",
              "      <td>1200</td>\n",
              "      <td>26.52</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-10-16</th>\n",
              "      <td>1200</td>\n",
              "      <td>26.59</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-11-16</th>\n",
              "      <td>1200</td>\n",
              "      <td>26.87</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-12-16</th>\n",
              "      <td>1200</td>\n",
              "      <td>26.90</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-01-16</th>\n",
              "      <td>1200</td>\n",
              "      <td>26.60</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>341 rows × 3 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d2846b0c-bf13-410e-bbee-cd1e3cc79683')\"\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",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      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-d2846b0c-bf13-410e-bbee-cd1e3cc79683 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-d2846b0c-bf13-410e-bbee-cd1e3cc79683');\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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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Select the index column (dates)\n",
        "print(data.index)                # display all items\n",
        "print(data.index.values[:10])    # display the first 10 elements\n",
        "\n",
        "# Note: if you ever need to convert between Datetime and datetime64 objects,\n",
        "#       use this chart: https://stackoverflow.com/a/21916253"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qqsHLiRUunB_",
        "outputId": "e7ead381-1c6f-4401-d1b9-6ea5cdf2987c"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "DatetimeIndex(['1988-05-16', '1988-06-16', '1988-07-16', '1988-08-16',\n",
            "               '1988-09-16', '1988-10-16', '1988-11-16', '1988-12-16',\n",
            "               '1989-07-16', '1989-08-16',\n",
            "               ...\n",
            "               '2017-11-16', '2018-08-16', '2018-09-16', '2018-10-16',\n",
            "               '2018-11-16', '2020-10-16', '2022-10-16', '2022-11-16',\n",
            "               '2022-12-16', '2023-01-16'],\n",
            "              dtype='datetime64[ns]', name='Date', length=341, freq=None)\n",
            "['1988-05-16T00:00:00.000000000' '1988-06-16T00:00:00.000000000'\n",
            " '1988-07-16T00:00:00.000000000' '1988-08-16T00:00:00.000000000'\n",
            " '1988-09-16T00:00:00.000000000' '1988-10-16T00:00:00.000000000'\n",
            " '1988-11-16T00:00:00.000000000' '1988-12-16T00:00:00.000000000'\n",
            " '1989-07-16T00:00:00.000000000' '1989-08-16T00:00:00.000000000']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Select one column of data using its label\n",
        "data['SST']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Mf8hU1ZsvMSw",
        "outputId": "45b3b4f5-5749-409c-a806-8671b99e6b55"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date\n",
              "1988-05-16    27.37\n",
              "1988-06-16    27.01\n",
              "1988-07-16    27.03\n",
              "1988-08-16    26.71\n",
              "1988-09-16    26.41\n",
              "              ...  \n",
              "2020-10-16    26.52\n",
              "2022-10-16    26.59\n",
              "2022-11-16    26.87\n",
              "2022-12-16    26.90\n",
              "2023-01-16    26.60\n",
              "Name: SST, Length: 341, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Extract just the values as a NumPy array\n",
        "data['SST'].values[:10]   # just the first 10 elements"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pQvq1GehvgBC",
        "outputId": "4b40b0d0-1ef6-4e9f-ea1c-8b8cde89d8e4"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([27.37, 27.01, 27.03, 26.71, 26.41, 24.9 , 24.83, 25.3 , 27.42,\n",
              "       27.3 ])"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Select a single row\n",
        "data.loc['2010-01-16']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N1F77S84uX1n",
        "outputId": "e1bb1b4f-8266-4106-84cd-7cedd00f7599"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Time       1200.00\n",
              "SST          30.05\n",
              "Quality       1.00\n",
              "Name: 2010-01-16 00:00:00, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Select multiple rows\n",
        "data.loc['2010-01-16':'2010-04-16']"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
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        "outputId": "b961fa5c-b075-436b-bff8-9a156a2e9008"
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      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            Time    SST  Quality\n",
              "Date                            \n",
              "2010-01-16  1200  30.05        1\n",
              "2010-02-15  1200  29.60        1\n",
              "2010-03-16  1200  29.22        1\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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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Select one year of data\n",
        "data.loc['2010']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "wUDS4bzbwXRO",
        "outputId": "dd438758-fa59-4a92-d0b3-6c6c603bdb59"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            Time    SST  Quality\n",
              "Date                            \n",
              "2010-01-16  1200  30.05        1\n",
              "2010-02-15  1200  29.60        1\n",
              "2010-03-16  1200  29.22        1\n",
              "2010-04-16  1200  28.97        1\n",
              "2010-05-16  1200  27.95        1\n",
              "2010-06-16  1200  27.83        1\n",
              "2010-07-16  1200  27.35        1\n",
              "2010-08-16  1200  26.19        1\n",
              "2010-09-16  1200  26.14        1\n",
              "2010-10-16  1200  25.91        1\n",
              "2010-11-16  1200  26.09        1\n",
              "2010-12-16  1200  25.63        1"
            ],
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              "\n",
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              "      <th>2010-07-16</th>\n",
              "      <td>1200</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010-08-16</th>\n",
              "      <td>1200</td>\n",
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              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010-09-16</th>\n",
              "      <td>1200</td>\n",
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              "      <th>2010-10-16</th>\n",
              "      <td>1200</td>\n",
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              "    <tr>\n",
              "      <th>2010-11-16</th>\n",
              "      <td>1200</td>\n",
              "      <td>26.09</td>\n",
              "      <td>1</td>\n",
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              "      <th>2010-12-16</th>\n",
              "      <td>1200</td>\n",
              "      <td>25.63</td>\n",
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              "\n",
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              "\n",
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              "\n",
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              "          const element = document.querySelector('#df-3de26f2b-0197-418e-a095-80a1803b79ea');\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",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Select a single value\n",
        "data.loc['2010-01-16','SST']   # use: .loc[row label, column label]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mYhaQcuGv2R8",
        "outputId": "064e8aca-33b5-4928-be8c-c80ee4badae8"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "30.05"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# You can also select values using NumPy-style integer indexing\n",
        "data.iloc[99,1]    # the 100th row and 2nd column"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PzPIBlnTv9s8",
        "outputId": "e467a1aa-f6df-4479-edc3-3f890daae107"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "29.12"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Apply NumPy functions such as mean() directly to the Pandas object\n",
        "print(data['SST'].mean())    # average of all SST data\n",
        "print()\n",
        "print(data['SST'].loc['2010'].mean())  # average of all SST data from 2010\n",
        "print()\n",
        "print(data.mean(axis=0))     # average of all rows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UDomNTaU_aII",
        "outputId": "4d45eee2-ab61-4d83-c29e-15fc93c58345"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "27.101994134897364\n",
            "\n",
            "27.5775\n",
            "\n",
            "Time       1200.000000\n",
            "SST          27.101994\n",
            "Quality       1.653959\n",
            "dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# If needed, you can convert from Pandas into a NumPy 2D array\n",
        "data_as_array = data.values\n",
        "print(data_as_array)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wOyUuM11pLfc",
        "outputId": "41c82ef3-9deb-47e8-f908-720149609b78"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1.200e+03 2.737e+01 1.000e+00]\n",
            " [1.200e+03 2.701e+01 1.000e+00]\n",
            " [1.200e+03 2.703e+01 1.000e+00]\n",
            " ...\n",
            " [1.200e+03 2.687e+01 2.000e+00]\n",
            " [1.200e+03 2.690e+01 2.000e+00]\n",
            " [1.200e+03 2.660e+01 2.000e+00]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# When indexing into NumPy 2D arrays, use [row, column] order\n",
        "print('Row #1, Column #2 =',data_as_array[0,1])\n",
        "\n",
        "# Check shape of 2D array\n",
        "print('Array shape in (rows, columns):',data_as_array.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MQ1xICQltd0I",
        "outputId": "ee34f4fc-aaf3-4216-9ee4-920d0a40ff60"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Row #1, Column #2 = 27.37\n",
            "Array shape in (rows, columns): (341, 3)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Matplotlib plotting: basics\n",
        "\n",
        "OCEAN 215 slides:\n",
        "- [Lesson 7: Loading files, loading data using NumPy, and intro to Matplotlib](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_7.pdf)\n",
        "- [Lesson 8: El Niño time series demo](https://nbviewer.org/github/ethan-campbell/OCEAN_215/blob/main/materials/lessons/lesson_8_notebook.ipynb)\n",
        "- [Lesson 12: Plotting review, 2-D plots, and mapping](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_12.pdf)"
      ],
      "metadata": {
        "id": "lq80Kq_syzt0"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Key functions:\n",
        "- Line plots (`plt.plot()`): https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html\n",
        "- Scatter plots (`plt.scatter()`): https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html\n",
        "- Histograms (`plt.hist()`): https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.hist.html\n",
        "\n",
        "### Other plotting resources:\n",
        "- Marker options: https://matplotlib.org/stable/api/markers_api.html#module-matplotlib.markers\n",
        "- Named color options: https://matplotlib.org/stable/gallery/color/named_colors.html\n",
        "- Gallery of plot examples: https://matplotlib.org/stable/gallery/index.html\n",
        "- Anatomy of a figure: https://matplotlib.org/stable/gallery/showcase/anatomy.html\n",
        "\n",
        "<img src='https://matplotlib.org/stable/_images/sphx_glr_anatomy_001_2_0x.png'>"
      ],
      "metadata": {
        "id": "JL1IPVn6zLp1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "_yXBSniGy3Mt"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# With a Pandas Series, plotting is as simple as specifying a column of data\n",
        "plt.plot(data['SST'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "oeHuJ7JGy6Q7",
        "outputId": "3abbb131-b5cf-46c8-e68b-34a2a956f5ab"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7ff010b36d60>]"
            ]
          },
          "metadata": {},
          "execution_count": 33
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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ydUgqj87ZyC/fXEdhWSU/OW9Yg9s2ljGG/JIKMjp3IMbRx/vz7cXsO3SUy8dbJ7zzRvZgeI9k9pZW8OhXx/KL17O5YHRP0qOUqUJumNyf9XvLuG36kHDdOPR9bC48xJycAhZtsa7CTmngCuJrp/RlXJ8UEhNiyEzpxNQhaTw4O5f73s5h2vCM8M950Zb9dE+M56yhkc+nZNlXfcu2FfPisp0MSU/iaE2QDQWN74nkFHridXzfrg1uE7qCnLUij9umD426TTBouHHmMnLyS3ng8pP4xqR+9bb505yN5OyxSiPnjMigpLyKSQ/O4/nFO3jkausmbMj8DVagfGHpTmqChvF9UthceIj+qYmkJMYjWOWdaDnD8Wr+IYPSEunbrRPz1xdyfZ32hspc/bp14oyhafx53iZW7ChmQr9u4e/3529k8+KynXz3zEH87Pxh9d7rCbEx3DljOOeN7MFPXlnNDTOXcd2pfbn3whEkJXy5w+OX+7s7jn8v3cmybcU8cvVYrpqQiTGGwrJKNhaUsangEJsKy9hYcIi3Vu+hrKKahNhAODA1Roe4GK6akMlD760nIPDI1WO557W1XHlyZCnn0rG92FxQxhPzN1N+tJpDldVsLjxUr+QTMqFfN5bccw4VVTWUHKliTk4BK3YWRw3+T3+6jScXWFcUCzYVce+FwxmQmsTdr64hJ7+0wZJPyPi+Kay7fwbXP72URVv285NGf/fRrdtTwp2vWMf+0bTB3OE4mXyx07q5e+oA6483EBBe+e5kYgMBOsbHsOCutIiTRTSTB3Vn/k/PqrdeRJgxqgfvrMnn8XmbGNWrMynHuOIZ1qO2pj44PYlfXTKSeesLmZNbwLdPH4AxhsVb9jNpUPd6AaV314707NKB+9/OAeDP14zj3TX5TXoGwWm13eVxTO+Gg/8p/bsxY1QGj83dxJXjM6O+Fz7M2RvuDfXg7FzOG5VBenLk7/9A+VF6p3TknBEZAHTpFMfVWZm8uGwnv7xoJOv2WCeip2/MoiZouP/tnPBV7bzcAnYWl9PXvhktYgV55xVjaLm2t8+xf58i1pXuS5/vpKKqJuJKOZQs9e+eyMn9UnhleR6/fGMd7/7odIyBe19fy0uf7+LWswfx0/PqB36nsX268s4PT+dPczby1Kdb+WRDEQ9fNYbTolwdfll8KYJ/MGhYsfNAg5lciDGGjzcWcbQ6SFFZJQs3FTEwNTEcZEWEjM4dyOjcgalD0iK+rrCskqqaIKlJxy/5ON08dSAC9OnWiSEZycz63mlRtxvbpytBA9m7S8O9cCbbj7xHE7oiyOjcgeSEWFbsOMAV4yNPFsGg4c1VexjftyvdE+OZm1vIV/62mIvH9ORD++nL6fYf+bEkJsTSPzWRJS186Gb3wSNc8+QSEhNi6RgXw8zPtvPt0wfSpVMcAKt2HWSgnTWGJHeICy/HxrSsSjmujxU8gwauaMJJHKBf90SGZiQxe20+N03pT96BI+wtrWDSgPrvORHh6gmZPP7RZqaPyOCSMb3YUniIubkF9QJYyNaiQ/zh/Q0EjaFHlw58NatP+Cpt9a6DDEhNDP+cookJCPdeOIIP1hUwN7eAm04fUG+b97L30j0xnv/eMonpjy7gv8t28cNzhkRsY0z9bPzKkzN5fvEO5uYWsPvgEUTg1IHdSUqI5VBlNXe8vBqwxp3aWVzORPtnIggmHObtk4HjOI119vB0nl20ncVb9nP28PTw+jW7D5IYH0Ovrh2IjQlw2/Qh3DlrDfNyC/lg3V5eWZHHj6YN5vZzhx73JANWsnbPhSM4b1QGP31lDdf9cyk3TO7H3RcMp1P8lyJURvhSfEcvL9/F3a+t5a0fTGFMZsPZ0cLN+/jWM59HrLt2Yt/j7j90UmiOQEC45cxBx91urB2YVu86yNZ9h0hOiK3XnTGamIAwvl9K1Kd+l2zbz97SCu69aAQJsQHm2kM5vLOmtg597sjjB3+wbgoXlFVSEzRRs29jDK8sz6NrpzjOHZkR9Y/tg+y9lFVW8/qtU6iqCXLBnz/l2UXb+bHdXXb1roNR6/Bu6dOtE7+4aATvZ+9tcvAHuG5iX+57O4e5uYXh5zLG9UmJuu0d5w3j8vG9yUzpRCAgjOjZmaCBDXvLwr/rkMrqGr721JKIm8pvrd7D0nvPISE2hk2Fh8IPsR1L6AQ1f0NhveBfEzQs2FjE2cPSGZyezJTB3fnv8l3cevbgiOEVDPWz8bGZXejVpQPvZedTWlHNsIzkcEnkivG9SUmMZ/76wnB5s37mb+0nIBJebmzZB6wrwY5xMcxbX8Cnm/bx0foCXvnuaSzctI9JA7uHk4LLx/fmsbmbuPU/K6msDnLb9CENlsCOZUK/bsz+0VQe/mADzyzaxscbinjk6rHhk9qXxZfihu+FY3rSKT6GG2cua3BEQGMMf567CYBvTOrLPRcMJz42wIxRjQt+XktNSiAzpSOr8g6yeMt+Th3YrdGZ7hlDUtlYcIi8A+UR69/8Yg+J8TGcOyKDM4akcfm4Xnw1y7o6GJiayNg+XRv9hu7ZpSM1QRO11wvAzM+2c9era7j5Xyv43ezcqDcVP7WvtAanJzGiZ2emj0jnucXbCQYNB8uPUlhWyYiexz/htcR3pg5k1vdOo3sTr+AAvjGpH90S45mTs5fVeQeJjwlElIfqGpiWFO7dMjrTyuKjPbW6YscBisoqefL6CVw7sS8DUxM5WF7Fyh0HqaiqYcf+wwxOP37wBxjVq0u4n73T2t0lHCiv4sxh1hXt107pS96BIwy8dzavf1E7FIkxpl5AFhHOP6knc3MLWbatmPMcCYOIcPaw9IikKyL4U5vtB6S23HO8rp5OHeJimDI4lVkr8pj52Ta27y/n8Xmb2L6/nCmOZCEuJsCtZw+msjrI7dOHNivwh3SMj+FXl4zkpf+ZBMDXnlrMb97OOWEGPmyML0Xw79whjq+f2pcD5VX8+L/Rn9BcvHU/y3cc4P5LR/HA5aO55cxB5Nw/g7OGpUfZoz/G9unKu3a3uEnHKPnUFboUPv338zn/sQXcNWs1waBhTm4B547MoGN8DB3jY3jsmvH84aqxrL3vPD68/QzevHUKcY08wfTqal35ROtNUl0T5P/mb2bywO4MTE3kH59uY/qjn/Dhur0R2yzZWszpjh4kM0b1oPjwUbYUHQo/tBZ6jqEtio0JMCgtke37ylmTd5ARvTqHg/vx9O7akdSkeFZHSU4WbNxHbECYMjiVB68czUs3WwEnN7+UrUWHCZrah/uOp4+jm6nTxxsKESFcznQGcOc4VAaipuMXjK7tYXX+ST3rvT7ScdIO3fAGiaj5S0Tmb69rVO4P04anU1FlfU+9u3bkX0usqwzn+wng2ol9+PSus8NXky116sDuvH/bVG6Y1I+Zn23josc/dbXr89q8Ei7762f88o1s1/bZWF+Ksg/AvReOYGSvztz+39W8uzafS+1+9CGPz9tEenJC+EEcaHkN2W1XjOvNu3ZJ5tJxvY6zda2BqYlcMrYXb6/ew/q9ZazfW8bQjGSKDx8NZ3pOzjp6Y/Xo3BGAzQWHyOjcgc827eOC0T1I7hDHsm3F7D98lBsm92NIRjLz1xfy8vJd/PLNbKYOSaNjvFW6OFJVE9EDJ8u+R7NsezExdgrYloM/WDcXP95YZJWtogTBhogIYzO7smTrfg5XVofHJaqoquGtVbuZOKBbuJSSlpxAalI8ufmldE+y7n8MyWhk8O/WiaCBPQeP0K97Ynj9JxuLGJvZNXyvqENcDE9eP4Fb/rWCI0drOHK0hjteXsWmwkNRw/GEvilcP6kfWf1TGBmlHBlq35TB3cM92axfaW0iFnDW/MM/l0Z9W5w9PM3+/jryw2lDuGvWGtKSE+qdFEUk4ulnN1jPf5zEjFE9uHPWGq7++yL+Z+pAvn/2YMBKbKqDhqqaINU1hupgkKoaQ3WNoSpor6sJUhW0P9rbVNcY/v7JFtbvLWP1roNcnZV5zLK12740wV9EuGxsb/5v/hb+Mm8TF4/uGa5lLt26nyVbi/nlxSOj3mxrK6aPzOBn5w+nT7eO9XphHIuI8Jdrx3Pp2F48u2gbi7fs54F3cwEiLotbok+3jgQE7np1TXjdF7sO8uCVo1m42cpczxyWRqf4WAanJ9E/NZH/eX45q/MOMmlg93A5brSjq2n/7tYDaz9/PZthGcl0iAvQu2tHV9rrlf6piRTZmfLQRgbkkOtO7cvN/1rBg+/l8sDlowF4dWUee0oqeOSrY8PbiVj3CHL3ltItKZ64GGFAamJDu40QKrnsLC4PB/+KqhrW5pXwP/akNyEzRvXg66f25Z01+byzZg/v2c8hRDsBBwLCby8/qcHjxsUE+OzuaaQm1d6sFxqu+dOEG75glR3PGJrGiJ7JXDS6J799O4czhqQ16kauW04bnMoHt5/B/76by5MLtoZ70bVEQOD3XxnNg++t57WVuzX4N1cgIHxzSn9+/no22/cfZmCa9Sb+y0ebSU2K57pG3Nz12/fOOv7N4YacOzKDc0dmcNlfP2P1roMMTk9q0knkWJI7xDE6syurHWPthIau2FFcTmZKx4geEaGeNdm7S5g0sDtrdh8kOSGW/o5sVER47Gvj+cbTS9lQYN0IDRynK6ffnO0fmtG4OnzIOSMyOGtoGosdvabW7Cqhe2I8pw2KPEmP75vCEx9torrGMKJn53oPdTUklPV+sqEoXOLZWFBGddBEnHhDBqcnUXKkKmLoi+b+BuqeuGtr/lakD0io53/kNo31/E0Tw8tv/mDKMR9O9EpSQiwPXjmay8b1YtWug8QGhLiYALExQlzA+hgbEyAuYH10ro+LCRAXI8QG7I8xAZISYklLTmDSwO7hE3dr+VIFf6j94yworWRgWhIrdhSzcPM+7r1wOB3j227W76ZhGUms3nWQk4/xUFBzjM3sEhH8Q1dReXVGmQSrdJGenBAeYnltXgkn9e5SL7ifPiSVM4amsWBjEZc3odTllzGZtQG0saUYp5P7pTBvfSH7DlWSmpTAlqJDDEqrv5/pI9J5fN4m1u8t44bJ9R/GakhG5w6kJSfwz4XbeHbRdr5/1iB6dLGC8km96gf/UM+jjzfUPtnqVjItiD1uVu1+wzX/Rvbzb8jAKD+z1jRpYPcm3Zc7HmeJrrW0raK3C9LtoRcKy6y+8o/P20y3xHi+fmrj/4BOdKGgnJnibiZx54xhfMfRhTA0RPXOKMEfrMfnl+84QEVVDbn5ZRGB0+neC4czfUQGV2f1ifp6W9KnWydeunkS91wwnLRm9BgabwfbrAfmUlJeZQX/KGWWk3p1Cb+Xj/f8ilNMQJh7+5n07daJ6qDh8Y82s2zbfjp3iKVPt/oltZP7pvCri0cyKM1xRdbs3D9S/d4+zevqqbzxJQz+VpmjqKySVbsO8snGIr4zdUDExB9fdl87pQ+d4mO4zOVMOrlDHD+7oHaGzoKSCsoqqjhQXhX1kvXy8b3ZWVzOH97fwNGaYLi7Y13De3TmnzdmnTCP008a2J1bzhzUrKx1Qv+U8BDaCzfv40B5VUTgDQkEhDd/MIV3fng6F41u/I1lsJ7KnfXdydw0xTpRv7FqD1OPUR+/6fQB/PeWyeHP3cv869b8m9fVU3nDjZm8+ojIfBHJEZF1IvJje/19IrJbRFbZ/y5seXOPr3PHWOJjAxSWVfKXeZvo2imOGyb3b41DtxmjenUh5zfne3IpGRcTCD95vLe0gl3FVtfPaMH/4tE9GZvZhZn2gGjRas7tTUJsDK/fOgWAd9dawzNHy/zBuskZrVTWGOmdO3D3BcOJi7G+9pwRx+7S7EUMtrp2moiaf/3MX6O/X9xItaqBnxhjVopIMrBCRObYr/3JGPOIC8doNBEhPTmBRVv2kb27lDvOHXrCZJQnihdvnsRf52/m4Q82sGKH9WRxtH7ogYDwwndOZebC7cTHBlr9hlZblZ6cQJeOccxea/WuGeXRg23xsQFm/2gqf52/+bhPcjuvCtzsQeMc2E1EHF09jz2Tl/Jei6OiMSYfyLeXy0QkF2j6s/MuSk9OYOXOg4jANae0/TryiSgU7J9csJWUTnEN9s9P7hDn2gM3XxYiwrCMZJZtLyY1Kb5RQ4Q313YjbdkAABk6SURBVJCMZB67Zvzx29TAckvU7dwTcN7w1Zq/71yt+YtIf2A8sNRe9QMRWSMiM0Uk6iAoInKziCwXkeVFRe6MpR260Tkms+sxh/9VzRd6sjLvwBGy+kefWUs1LPTwXWVVsE387JxNcLW3D7VP8wZE6tX8Nfr7x7XgLyJJwKvAbcaYUuBvwCBgHNaVwR+jfZ0x5iljTJYxJistrf7TqM1x9wXD+cakvvzk3OaP7aGOrVN8bHhcpKZ0RVSWb03pT1JCLD+YNtjvpgCRtXfXgr9Qr6tn3WE9tebvH1eK4SIShxX4/22MeQ3AGFPgeP0fwDtuHKsxenXtGH6CUnnnkavH8r9XNH2Ya2WdPNf8+ry281CbM/N3q6snUbp62sva28d/bvT2EeBpINcY86hjvbN/2hVA649cpDyV3CFOA38LtJnAj0dlnzpDOoeuBEBr/m2BG5n/FOB6YK2IrLLX3QtcKyLjsE7y24FbXDiWUsoDnnX1pE5XT/s150ifyh9u9PZZSPT3zuyW7lsp1ToCzq6eLu0z6kNe4eEd3D2Warov3RO+Sqmmi0jAXXzE11nzj+jn77wJrHyhwV8pFdnbx819Op7ysq4E6gzvoLm/bzT4K6W8u+FrV/xFCF8JQO1JQPlHg79SKoIXNX8J7bduzNfE3zca/JVSdTJ/t4d0NohIuPcPaM2/LdDgr5TyrOYfesI3lPnXm8zFpWOpptPgr5TysOZPuOYfMZOXY6RP5Q8N/kqpOqN6uji8Q7jmL/ZAb6beNsofGvyVUpEZuKtjOtslnrqZf+Qmygca/JVS3oznH1owtcv1HvLS3N83GvyVUp7V/AGCxtg1f6l/w1djv280+CulIqdxdK3mb+0nGK75A3W6eir/aPBXSkXwLvOvH/Q18/ePBn+lFFAbiF0c1w1wPOEbZXgHrfn7R4O/UgqoHdbZtbJPROYv4Ye+QJ/wbQvcmMmrj4jMF5EcEVknIj+213cTkTkissn+GHUCd6VU2xCKw+6VfUI1f1M/869zTNX63Mj8q4GfGGNGApOAW0VkJHA3MM8YMwSYZ3+ulGqjvMrCgwarnz/6hG9b0uLgb4zJN8astJfLgFygN3AZ8Jy92XPA5S09llLKO6Fyj5sDu4FV3xd7RW3mr2P7+M3Vmr+I9AfGA0uBDGNMvv3SXiDDzWMppVwmER9c2J1d9gli1/yjTOCu0d83rgV/EUkCXgVuM8aUOl8z1m88as9eEblZRJaLyPKioiK3mqOUaiL3a/7WR2dXzxDn1I7KH64EfxGJwwr8/zbGvGavLhCRnvbrPYHCaF9rjHnKGJNljMlKS0tzozlKqWYQ1zN/i13yj6j561Ne/nOjt48ATwO5xphHHS+9BdxoL98IvNnSYymlvONVzT/c1dM5mQta8vFbrAv7mAJcD6wVkVX2unuBh4CXReTbwA7gqy4cSynlEfczf3tAh2iTuWji77sWB39jzEIafr+c09L9K6VaR2vU/J0Du2ni7y99wlcpBTjLPe6G5Rq7o79zMhdj9Gav3zT4K6UA757wtQK9dQDnZC4a+v2lwV8pZfGot094eAci+3tr4u8vDf5KKaCV+vk7bvjqiJ7+0uCvlAJqyzRuTuAOzslcnF09jdZ9fKbBXykFQMDt8fzDNf8ok7lo7PedBn+lFODI/F2KyoFw2SfKZC4uHkc1jwZ/pRTgqPm7lZM7x/OvN5mL0Zq/zzT4K6UARybu8jSOQccIns6hfTTz95cGf6WUTRz/d2FvzvH8w8v2RxePo5pHg79SCnBO4O5Wbx9n2Qd7YDeLPuHrPw3+SinAWfN3aX+hG77BUFdPwqm/ju3jPw3+SinAmfm7tD/7Y8TAbvY6o3Uf32nwV0oBjvH83dqfo85fbzIXF4+jmkeDv1IK8LrmX2cyF3ud8o8Gf6UU4H7NP7SjiIHdnL19NPb7yq05fGeKSKGIZDvW3Sciu0Vklf3vQjeOpZTyRjgT96Kff93JXHR4B9+5lfk/C5wfZf2fjDHj7H+zXTqWUspDrg3s5hzbx95z7fAOWvbxmyvB3xizACh2Y19KKX9419sHu+aPY3gHzfz95nXN/wcissYuC6VE20BEbhaR5SKyvKioyOPmKKUa4voE7lFq/iE6f7v/vAz+fwMGAeOAfOCP0TYyxjxljMkyxmSlpaV52Byl1LEEXB7Vszb4U38Cdx3bx3eeBX9jTIExpsYYEwT+AUz06lhKqZZze1TP0H5CI3g6J3OJPKLyg2fBX0R6Oj69AshuaFullP/cHs8/2jSOtQ95Gc38fRbrxk5E5EXgLCBVRPKAXwNnicg4rPLeduAWN46llPKG23P4hgSNNbFLvSGd3T2MaiJXgr8x5tooq592Y99KqVYi9RZatruIyVwCdSZz0Zq/3/QJX6UU4H7mH9pNOMuPmMZRZ/LymwZ/pRTgqPm7tj/rY7jmD+Hor5m//zT4K6UALzL/Y0zmgtb8/abBXykFOB/ycqvmb310TuYSWfPX8O8nDf5KKcAxnr/rNf8ok7noM76+0+CvlAK8HN6hdr/GUffRxN9fGvyVUhHcK8c4av6Eav6hOXw1+PtNg79SCnC/Bh+R+YtEZP6hIR+UfzT4K6UAL/v5m9p+/jqTV5uhwV8pBXjR26dOV0/HfnV4B/9p8FdKAR4M6Wx/DNqBPmIyF7Srp980+CulAI8ncwnV/O3Xaqd2VH7R4K+UAjyo+dv7MRGZv73OeUDlCw3+SilLuOzj7mQuzpp/+OEurfn7ToO/UgpwzuTl7g6DdrfOQMCZ+Rut+fvMleBvT9BeKCLZjnXdRGSOiGyyP0adwF0p1TaIy9HfecM31NdTB3VoO9zK/J8Fzq+z7m5gnjFmCDDP/lwp1Ua5PoevOOfwjTKBuytHUc3lSvA3xiwAiuusvgx4zl5+DrjcjWMppbzh+hy+9segPY6PfSqw/q9j+/jOy5p/hjEm317eC2RE20hEbhaR5SKyvKioyMPmKKWOxe2av9Sp+Uf29tHhHfzWKjd8jfVkR9RynzHmKWNMljEmKy0trTWao5SKItzP3+XJXEw485fICdw19vvKy+BfICI9AeyPhR4eSynVQuHx/F2ezCW0XPcJX+UvL4P/W8CN9vKNwJseHksp1VKuZ/7O5bpP+OrwDn5zq6vni8BiYJiI5InIt4GHgHNFZBMw3f5cKdVGedXPH0KZv9RO5oIO7+C3WDd2Yoy5toGXznFj/0op79X283f3CV+nyDl8XTmMaiZ9wlcpBThr/i7tLyLzlzpz+Grw95sGf6VUBG9q/vbJRWfyajM0+CulAO8mcwntWzP/tkWDv1IqgttDOkMo87ce+AId3qEt0OCvlIrgWs3fuSx1n/BFU3+fafBXSkXwLPOX2vH8dSYv/2nwV0pFcO/hqzo1f3D089fE328a/JVSnogM7lb0j3jC14c2qVoa/JVSETzp6il1unrqTF6+0+CvlIrgSVdPQl09tbdPW6HBXykVwbvMv85MXhr9faXBXykVwZPhHYgc3kH5T4O/UiqC25O5hPYpiGM8fx3ewW8a/JVSETydzMX+3Bi06O8zDf5KqQhe1OLDk7k4nvDV2O8vDf5KKU9EnESkzgq94es7VyZzORYR2Q6UATVAtTEmy+tjKqWaz63+9xE1f2ozfWOMXfPX3NNPngd/29nGmH2tdCylVDPUDuns7v6sZQl/box29WwL9NSrlIrg3ZDO1gqDjuffFrRG8DfAhyKyQkRurvuiiNwsIstFZHlRUVErNEcpdSzuDetWfzIXsMs+OpOX71oj+J9ujDkZuAC4VUTOcL5ojHnKGJNljMlKS0trheYopY7FtZp/lMlcQDP/tsLz4G+M2W1/LAReByZ6fUylVPO5FZQDx6n5K395GvxFJFFEkkPLwHlAtpfHVEq1jHsJed2B3UI1f2Nn/pr6+8nr3j4ZwOv2LzkW+I8x5n2Pj6mUagkPyj7OM4ox1v809PvL0+BvjNkKjPXyGEopd3kyhy9S9xkvrfn7TLt6KqUiuNfVs/7AbuDo5+/OYVQzafBXSkVwbWC3OsvhG772f1rz95cGf6VUBE8e8hLn8A6a+bcFGvyVUhE8ecjLUfO37/dqzd9nGvyVUhG8y/xDNf/QTL4a/f2kwV8pFcGLYRcihndwrFP+0eCvlIrkQebv3KlV89d+/n7T4K+UAmozfveGdK47sFud1F/5SoO/UiqCe5O5RC7XDuxm9IZvG6DBXykVwZvJXJxDOmPP5KXR308a/JVSEVzr7VO3q6e9rF092wYN/kqpCJ519ZTIrp4a/P2lwV8pFcH74R3QmbzaAA3+SqkIrmXkdSdzsZetmj/u3VxQzaLBXynliXqZvWMyF3RsH995HvxF5HwR2SAim0Xkbq+Pp5RqGS/m8AVHsDfoTF5tgNfTOMYAf8WavH0kcK2IjPTymEqplvFkMheJVvNXfvI6858IbDbGbDXGHAVeAi7z+JhKqRbwZDIXR2dPY3Qmr7bA6+DfG9jl+DzPXhcmIjeLyHIRWV5UVORxc5RSx+NJb5+IzN/oeP5tgO83fI0xTxljsowxWWlpaX43R6l2z5N+/tSZzEVn8vKd18F/N9DH8XmmvU4p1UZ5MplLvZq/Zv5+8zr4fw4MEZEBIhIPXAO85fExlVIt4F0/f8cTvgaN/j6L9XLnxphqEfkB8AEQA8w0xqzz8phKqeapDfrud/UUx26NCa3T6O8nT4M/gDFmNjDb6+Mopdzh3sBukZ84PzfGaG8fn/l+w1cp1bZ4MpkL4hjYzd3jqObR4K+UiuDJZC6OzN+go3q2BRr8lVIRPJnMxfG5NYev1vz9psFfKRXBk8lc6nb1RGv+ftPgr5SK4M1DXlG6eipfafBXSkXwohxTP/PXmr/fNPgrpSJ5NLxDSKjmr/19/KXBXykVwYvhHRBx9CKycn/N/P2lwV8pFcGLyVzqDeymY/v4ToO/UipCq0zmgtb8/abBXynliWNO5mKM9vP3mQZ/pVQEt3phHnMyFzTz95sGf6WUJ7Tm37Zp8FdKeSKi7OPM/ENlH039faXBXynlOSvQ2zV/u+yj/OVZ8BeR+0Rkt4issv9d6NWxlFJtnzPzx2jN329eT+byJ2PMIx4fQynVxjmHdAa7q6dW/X2lZR+llOfqTuaiM3n5z+vg/wMRWSMiM0UkxeNjKaXaqKiTufjZINWy4C8ic0UkO8q/y4C/AYOAcUA+8McG9nGziCwXkeVFRUUtaY5Sqo2qO5kLaM3fby2q+RtjpjdmOxH5B/BOA/t4CngKICsrSzsBKPUlVG94B+PeGEKqebzs7dPT8ekVQLZXx1JKtW31JnPBaNnHZ1729vmDiIzDOtFvB27x8FhKqTbM0c0/nPlr9PeXZ8HfGHO9V/tWSp14IoZ3QLt6+k27eiqlPCd1J3PRu3u+0+CvlPJcvYHddCYv32nwV0pFMMb9tDxqbx/Xj6KaQoO/Ugrwtuullfk7nvBF+/n7TYO/UspzVs3fWjbG6ExebYAGf6WU5yKHd9DMvy3Q4K+U8pyE/6czebUVGvyVUt4TxxO+6OA+bYEGf6WU55wDu4Vjv1+NUYAGf6VUK3DW/IOa+LcJGvyVUp5zTuYStJ8j0N4+/tLgr5TynAgE7FgfDv4a+32lwV8p5bmok7n41hoFGvyVUq1AHH09NfNvGzT4K6U8Z9X8reXaG74a/f2kwV8p5T3nE74eDBynmq6lE7hfLSLrRCQoIll1XrtHRDaLyAYRmdGyZiqlTmRWzT9U9rHXaeLvq5bO5JUNXAk86VwpIiOBa4BRQC9grogMNcbUtPB4SimPeZGXi0i9zF+7evqrRZm/MSbXGLMhykuXAS8ZYyqNMduAzcDElhxLKeWtDrFWOIjxICV39va5/+0ca53Gfl95NYdvb2CJ4/M8e109InIzcDNA3759PWqOUup4HrxyNEMykjh9cKpr+7zvkpGs2nWQyYO60y0xnmtO6UNpRRUxgQDnDE937Tiq6Y4b/EVkLtAjyks/N8a82dIGGGOeAp4CyMrK0jtBSvmke1ICd84Y7uo+vzllQMTnD31ljKv7V8133OBvjJnejP3uBvo4Ps+01ymllGoDvOrq+RZwjYgkiMgAYAiwzKNjKaWUaqKWdvW8QkTygMnAuyLyAYAxZh3wMpADvA/cqj19lFKq7WjRDV9jzOvA6w289r/A/7Zk/0oppbyhT/gqpVQ7pMFfKaXaIQ3+SinVDmnwV0qpdkja0gh7IlIE7GjCl6QC+zxqTlNpW6JrS22BttUebUt02pbojtWWfsaYtKbsrE0F/6YSkeXGmKzjb+k9bUt0bakt0Lbao22JTtsSndtt0bKPUkq1Qxr8lVKqHTrRg/9TfjfAQdsSXVtqC7St9mhbotO2ROdqW07omr9SSqnmOdEzf6WUUs2gwV8ppdqhNhf8RWSmiBSKSLZj3VgRWSwia0XkbRHpbK+PE5Hn7PW5InKP42tutyeXzxaRF0Wkg8dtiReRZ+z1q0XkLHt9JxF5V0TW2+15qBV+LlHb4njtKRHZaLfpK81oSx8RmS8iOfb39GN7fTcRmSMim+yPKfZ6EZHHRWSziKwRkZMd+7rR3n6TiNzoZ1vs1zuLSJ6IPOHzz+UP9j5y7W2aNOlhM9oy3H4vVYrIT4+3Hz/aYr/WVURm2e/dXBGZ7HFbvm7/btaKyCIRGevY1/kissH+/d3dCj+XBttivx4jIl+IyDuNaoAxpk39A84ATgayHes+B860l28CfmsvX4c1VzBAJ2A70B9ryshtQEf7tZeBb3rclluBZ+zldGAF1sm1E3C2vT4e+BS4wI+22J/fDzxgLweA1Ga0pSdwsr2cDGwERgJ/AO62198N/N5evhB4D2sq10nAUnt9N2Cr/THFXk7xoy2O/f0Z+A/whI8/l9OAz4AY+99i4CyP25IOnII1Eu9Pj7cfP9piv/Yc8B3H31NXj9tyWug9CVzg+B3FAFuAgXY7VrfCzyVqWxz7u8N+777TqOM39Q3eGv+wArgzyJVQe3O6D5BjL18LvI01NHV3+4fXDSv477KXY4F3gPM8bstfgesd280DJkbZ35+B//GrLfbPJdHl39ebwLnABqCn4429wV5+ErjWsf0G+/VrgScd6yO2a8222MsTgJeAb9KM4O/iz2Uy1gm7I1bysBwY4WVbHNvdR52AG20/frQF6IKV1ElrvXfrbJsC7LaXJwMfOF67B7jHj7bYn2faf+fTaGTwb3NlnwasAy6zl6+mdorIWcBhIB/YCTxijCk2xuwGHrHX5QMlxpgPPW7LauBSEYkVa/ayCUROZYmIdAUuwfoltXpb7OMD/FZEVorIKyKS0ZIGiEh/YDywFMgwxuTbL+0FQvsOnYxD8ux1Da1v9baISAD4IxBRZvCjLcaYxcB8rPduPlaQyfW4LU3djx9tGQAUAc/Y5Y1/ikhiK7bl21hXauDPe7ehtgA8BtwFBBt7zBMl+N8EfF9EVmBdHh21108EaoBeWG+Mn4jIQLtGdpm9rheQKCLf8LgtM7HeAMuxfhGL7LYBICKxwIvA48aYrT61JRYrQ1hkjDkZq5zwSHMPLiJJwKvAbcaYUudrxkpHWq0fsQtt+T4w2xiT53dbRGQwMALrd9UbmCYiU/1oS2P204pticUqff7NGDMeK/Frcq29OW0RkbOxAu7PmnM8L9siIhcDhcaYFU05botm8motxpj1wHkAIjIUuMh+6TrgfWNMFVAoIp8BWVg/rG3GmCL7a17Dqpe94FVbjDHVwO2h7URkEVYZKuQpYJMx5rGWtqEFbdkPlAOv2S+9gvUmajIRicN6w/7bGBPaX4GI9DTG5ItIT6DQXr+byKugTHvdbuCsOus/9qktk4GpIvJ9IAmIF5FDxpgmBReX2vINYIkx5pC9z/fs9n3qYVuaup8mcakteUCeMSZ05TGLZgT/prZFRMYA/8S6V7ffXt3Q786PtkzButK/EOgAdBaRF4wxx0x4T4jMX0TS7Y8B4BfA3+2XdmLVuLAv/yYB6+31k8TqaSPAOUCzL5sb0xb7WIn28rlAtTEmx/78Aax65W1utKG5bbGziLepDbjnYM2z3NTjCvA0kGuMedTx0ltAqMfOjVg1zND6G8QyCasMlw98AJwnIin21dp59rpWb4sx5uvGmL7GmP5YpZ/nmxH43fq57ATOtMt2ccCZNPH924y2NHU/rd4WY8xeYJeIDLNXNfn929S2iEhfrGTpemOMM5n7HBgiIgNEJB64xt5Hq7fFGHOPMSbTfu9eA3x0vMAf+sI29Q+rNJIPVGGd6b8N/Bgrc90IPETtTc4krOx1Hdab4E7Hfu7HOhFkA/8CEjxuS3+sGzW5wFysIVbBygiMvX6V/e87frTFfq0fsABYg3XvoW8z2nK6/T2tcXxPF2LddJ8HbLKP283eXrBuQm8B1gJZjn3dBGy2/33Lz7Y49vlNmtfbx5W2YPUkedL+/eUAj7ZCW3rY76tS4KC93Lmh/fjRFvu1cVjlzDXAGzS9d1hT2/JP4IBj2+WOfV2I9be3Bfh5K/yOGmyLY59n0cgbvjq8g1JKtUMnRNlHKaWUuzT4K6VUO6TBXyml2iEN/kop1Q5p8FdKqXZIg79SSrVDGvyVUqod+n+Gu6huFSgICwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# But generally, you should specify the (x, y) data\n",
        "plt.plot(data.index.values,data['SST'].values)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "AOFFKo4Zy_uO",
        "outputId": "e79ea922-ee3a-4f25-d697-ce6d190b0219"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7ff010ac20d0>]"
            ]
          },
          "metadata": {},
          "execution_count": 34
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Let's get rid of the bad data (SST = -9.99)\n",
        "# by creating a new variable with only rows where SST is NOT -9.99\n",
        "data = data[data['SST'] != -9.99]"
      ],
      "metadata": {
        "id": "vfIlPlCl1TWY"
      },
      "execution_count": 57,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Now let's create a nicely formatted plot and save it\n",
        "plt.figure(figsize=(10,4))\n",
        "plt.scatter(data.index.values,data['SST'].values,\n",
        "            c='k',s=5)\n",
        "plt.plot(data.index.values,data['SST'].values,\n",
        "         c='k',lw=1.0,label='SST')\n",
        "plt.xlabel('Year')\n",
        "plt.ylabel('SST (°C)')\n",
        "plt.title('Sea surface temperatures from TAO mooring at 0°N, 170°W')\n",
        "plt.grid(alpha=0.5)\n",
        "plt.legend()\n",
        "plt.savefig('/content/sst_tao_monthly.pdf')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "ZiiPzaAj1aN-",
        "outputId": "5173c19e-e6ce-4376-a7e9-406f0ff7ec5f"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Add a second line to the plot\n",
        "# You can download Niño 3.4 index data here: https://tinyurl.com/OCEAN443-data-nino\n",
        "nino = pd.read_csv('/content/nino34.csv',index_col=0,parse_dates=True)\n",
        "\n",
        "plt.figure(figsize=(10,4))\n",
        "plt.scatter(data.index.values,data['SST'].values,\n",
        "            c='k',s=5)\n",
        "plt.plot(data.index.values,data['SST'].values,\n",
        "         c='k',lw=1.0,label='SST')\n",
        "plt.plot(nino.index,nino.values,c='r',lw=1.0,label='El Niño index')\n",
        "plt.xlim([datetime(1990,1,1),datetime(2023,1,1)])\n",
        "plt.xlabel('Year')\n",
        "plt.ylabel('SST (°C)')\n",
        "plt.title('Sea surface temperatures from TAO mooring at 0°N, 170°W')\n",
        "plt.grid(alpha=0.5)\n",
        "plt.legend()\n",
        "plt.savefig('/content/sst_tao_monthly_with_nino.pdf')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "j-exnzldjEo2",
        "outputId": "60c34efc-fc03-4f3e-d9ff-220bf26ae468"
      },
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "nino"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "t3bmIF6OjtEt",
        "outputId": "ea500df9-91ce-4a84-d85f-fadc72f1b694"
      },
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Unnamed: 0      0\n",
              "0     1870-01-15  25.58\n",
              "1     1870-02-15  25.57\n",
              "2     1870-03-15  26.43\n",
              "3     1870-04-15  26.96\n",
              "4     1870-05-15  26.59\n",
              "...          ...    ...\n",
              "1807  2020-08-15  26.46\n",
              "1808  2020-09-15    NaN\n",
              "1809  2020-10-15    NaN\n",
              "1810  2020-11-15    NaN\n",
              "1811  2020-12-15    NaN\n",
              "\n",
              "[1812 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9109fa59-c148-4a64-bb9b-b3da3b1663d8\">\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>Unnamed: 0</th>\n",
              "      <th>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1870-01-15</td>\n",
              "      <td>25.58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1870-02-15</td>\n",
              "      <td>25.57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1870-03-15</td>\n",
              "      <td>26.43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1870-04-15</td>\n",
              "      <td>26.96</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1870-05-15</td>\n",
              "      <td>26.59</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1807</th>\n",
              "      <td>2020-08-15</td>\n",
              "      <td>26.46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1808</th>\n",
              "      <td>2020-09-15</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1809</th>\n",
              "      <td>2020-10-15</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1810</th>\n",
              "      <td>2020-11-15</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1811</th>\n",
              "      <td>2020-12-15</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1812 rows × 2 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9109fa59-c148-4a64-bb9b-b3da3b1663d8')\"\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",
              "    }\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-9109fa59-c148-4a64-bb9b-b3da3b1663d8 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-9109fa59-c148-4a64-bb9b-b3da3b1663d8');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ITZh0HNThmzA"
      },
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Working with netCDF files (gridded data)\n",
        "\n",
        "*Download OISST monthly SST data file: https://tinyurl.com/OCEAN443-data-OISST*\n",
        "- *Obtained from https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html*\n",
        "\n",
        "<br>\n",
        "\n",
        "OCEAN 215 slides:\n",
        "- [Lesson 9: Pandas and Xarray - working with CSV and netCDF data files](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_9.pdf)"
      ],
      "metadata": {
        "id": "45fFgSbo5iZ2"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Xarray.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAHYCAYAAACMfEIGAAAKqWlDQ1BJQ0MgUHJvZmlsZQAASImVlwdUU9kWhs+96SGhJYQOoTdBOgGkhNACSO82QhIglBADQcWOiCMwFlREUBF0lKLgWAAZK6LYBgEF7AMyCCjjYMGGyrvAIszMW++99XbWXufLvvv8Z5+z7llrXwDI8hyRKBWWByBNmCkO9fGgR8fE0nFDAEJ+NKAPFDjcDBEzODgAIDY7/t0+9CC5iN0zn9L69+f/1RR4/AwuAFAwwvG8DG4awmcQf8kViTMBQB1C4norMkVT3IowVYwUiPCDKU6c4dEpjp9mNJjOCQ9lIUwFAE/icMSJAJDoSJyexU1EdEjuCFsKeQIhwiKEXdPS0nkIn0TYGMlBYqQpfUb8X3QS/6YZL9XkcBKlPLOXacN7CjJEqZxV/+dx/G9LS5XMrmGIOClJ7BuKjIrImT1ISfeXsjA+MGiWBbzp/GlOkvhGzDI3gxU7yzyOp790bmpgwCwnCLzZUp1Mdvgs8zO8wmZZnB4qXStBzGLOMkc8t64kJUIaT+KzpfrZSeFRs5wliAyc5YyUMP+5HJY0LpaESuvnC3085tb1lu49LeMv+xWwpXMzk8J9pXvnzNXPFzLnNDOipbXx+J5eczkR0nxRpod0LVFqsDSfn+ojjWdkhUnnZiIv5NzcYOkZJnP8gmcZsEA6SEVcDOggAPnnCUAmf2Xm1EZY6aJVYkFiUiadidwwPp0t5FrMo1tbWtsAMHVfZ16Hd7TpewjRbs3Fct4D4MKbnJw8PxcL0AfgzGYAiC/mYkYXAZBVBuBGAVcizpqJTd8lDCACOUAFqkAL6AFjYA6sgT1wBu7AC/iBIBAOYsBSwAVJIA2pfAVYAzaCPFAAdoA9oBSUg8OgCpwAp0AjOA+ugOvgNugA3eAx6AOD4BUYAx/ABARBOIgMUSBVSBsygMwga4gBuUJeUAAUCsVAcVAiJIQk0BpoE1QAFUGlUAVUDf0MnYOuQDehTugh1A+NQG+hLzAKJsFUWBM2hOfDDJgJ+8Ph8BI4EV4OZ8O58Da4BK6Ej8MN8BX4NtwN98Gv4HEUQMmgaCgdlDmKgWKhglCxqASUGLUOlY8qRlWi6lDNqDbUPVQfahT1GY1FU9B0tDnaGe2LjkBz0cvR69CF6FJ0FboB3Yq+h+5Hj6G/Y8gYDYwZxgnDxkRjEjErMHmYYsxRzFnMNUw3ZhDzAYvF0rBGWAesLzYGm4xdjS3EHsDWYy9jO7ED2HEcDqeKM8O54IJwHFwmLg+3D3ccdwnXhRvEfcLL4LXx1nhvfCxeiM/BF+Nr8BfxXfgh/ARBnmBAcCIEEXiEVYTthCOEZsJdwiBhgqhANCK6EMOJycSNxBJiHfEa8QnxnYyMjK6Mo0yIjEBmg0yJzEmZGzL9Mp9JiiRTEou0mCQhbSMdI10mPSS9I5PJhmR3ciw5k7yNXE2+Sn5G/iRLkbWQZcvyZNfLlsk2yHbJvpYjyBnIMeWWymXLFcudlrsrNypPkDeUZ8lz5NfJl8mfk++VH1egKFgpBCmkKRQq1CjcVBhWxCkaKnop8hRzFQ8rXlUcoKAoehQWhUvZRDlCuUYZpGKpRlQ2NZlaQD1BbaeOKSkq2SpFKq1UKlO6oNRHQ9EMaWxaKm077RSth/ZFWVOZqcxX3qpcp9yl/FFFXcVdha+Sr1Kv0q3yRZWu6qWaorpTtVH1qRpazVQtRG2F2kG1a2qj6lR1Z3Wuer76KfVHGrCGqUaoxmqNwxp3NMY1tTR9NEWa+zSvao5q0bTctZK1dmtd1BrRpmi7agu0d2tf0n5JV6Iz6an0EnorfUxHQ8dXR6JTodOuM6FrpBuhm6Nbr/tUj6jH0EvQ263Xojemr62/UH+Nfq3+IwOCAcMgyWCvQZvBR0MjwyjDLYaNhsNGKkZso2yjWqMnxmRjN+PlxpXG902wJgyTFJMDJh2msKmdaZJpmeldM9jM3kxgdsCscx5mnuM84bzKeb3mJHOmeZZ5rXm/Bc0iwCLHotHi9Xz9+bHzd85vm//d0s4y1fKI5WMrRSs/qxyrZqu31qbWXOsy6/s2ZBtvm/U2TTZvbM1s+bYHbR/YUewW2m2xa7H7Zu9gL7avsx9x0HeIc9jv0MugMoIZhYwbjhhHD8f1jucdPzvZO2U6nXL609ncOcW5xnl4gdEC/oIjCwZcdF04LhUufa501zjXQ659bjpuHLdKt+fueu4896PuQ0wTZjLzOPO1h6WH2OOsx0eWE2st67InytPHM9+z3UvRK8Kr1OuZt653onet95iPnc9qn8u+GF9/352+vWxNNpddzR7zc/Bb69fqT/IP8y/1fx5gGiAOaF4IL/RbuGvhk0CDQGFgYxAIYgftCnoabBS8PPiXEGxIcEhZyItQq9A1oW1hlLBlYTVhH8I9wreHP44wjpBEtETKRS6OrI78GOUZVRTVFz0/em307Ri1GEFMUywuNjL2aOz4Iq9FexYNLrZbnLe4Z4nRkpVLbi5VW5q69MIyuWWcZafjMHFRcTVxXzlBnErOeDw7fn/8GJfF3ct9xXPn7eaN8F34RfyhBJeEooThRJfEXYkjSW5JxUmjApagVPAm2Te5PPljSlDKsZTJ1KjU+jR8WlzaOaGiMEXYmq6VvjK9U2QmyhP1LXdavmf5mNhffDQDyliS0ZRJRRqjOxJjyWZJf5ZrVlnWpxWRK06vVFgpXHlnlemqrauGsr2zf1qNXs1d3bJGZ83GNf1rmWsr1kHr4te1rNdbn7t+cIPPhqqNxI0pG3/Nscwpynm/KWpTc65m7obcgc0+m2vzZPPEeb1bnLeU/4D+QfBD+1abrfu2fs/n5d8qsCwoLvhayC289aPVjyU/Tm5L2Na+3X77wR3YHcIdPTvddlYVKRRlFw3sWrirYTd9d/7u93uW7blZbFtcvpe4V7K3rySgpGmf/r4d+76WJpV2l3mU1e/X2L91/8cDvANdB90P1pVrlheUfzkkOPSgwqeiodKwsvgw9nDW4RdHIo+0/cT4qfqo2tGCo9+OCY/1VYVWtVY7VFfXaNRsr4VrJbUjxxcf7zjheaKpzryuop5WX3ASnJScfPlz3M89p/xPtZxmnK47Y3Bm/1nK2fwGqGFVw1hjUmNfU0xT5zm/cy3Nzs1nf7H45dh5nfNlF5QubL9IvJh7cfJS9qXxy6LLo1cSrwy0LGt5fDX66v3WkNb2a/7Xblz3vn61jdl26YbLjfM3nW6eu8W41Xjb/nbDHbs7Z3+1+/Vsu317w12Hu00djh3NnQs6L3a5dV2553nv+n32/dvdgd2dPRE9D3oX9/Y94D0Yfpj68M2jrEcTjzc8wTzJfyr/tPiZxrPK30x+q++z77vQ79l/53nY88cD3IFXv2f8/nUw9wX5RfGQ9lD1sPXw+RHvkY6Xi14OvhK9mhjN+0Phj/2vjV+f+dP9zztj0WODb8RvJt8WvlN9d+y97fuW8eDxZx/SPkx8zP+k+qnqM+Nz25eoL0MTK77ivpZ8M/nW/N3/+5PJtMlJEUfMmW4FUIjDCQkAvD0GADkGAEoH0j8smumnpw2a+QaYJvCfeKbnnjZ7AOqQYaotYl0G4CTihhsQbXcAplqicHcA29hIfbb3ne7TpwyLfLEcspqiLu3T4J8208P/pe5/jmBK1Rb8c/wX8UgGGMplD/sAAACKZVhJZk1NACoAAAAIAAQBGgAFAAAAAQAAAD4BGwAFAAAAAQAAAEYBKAADAAAAAQACAACHaQAEAAAAAQAAAE4AAAAAAAAAkAAAAAEAAACQAAAAAQADkoYABwAAABIAAAB4oAIABAAAAAEAAAVAoAMABAAAAAEAAAHYAAAAAEFTQ0lJAAAAU2NyZWVuc2hvdBpmyMAAAAAJcEhZcwAAFiUAABYlAUlSJPAAAAHXaVRYdFhNTDpjb20uYWRvYmUueG1wAAAAAAA8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJYTVAgQ29yZSA2LjAuMCI+CiAgIDxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+CiAgICAgIDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiCiAgICAgICAgICAgIHhtbG5zOmV4aWY9Imh0dHA6Ly9ucy5hZG9iZS5jb20vZXhpZi8xLjAvIj4KICAgICAgICAgPGV4aWY6UGl4ZWxZRGltZW5zaW9uPjQ3MjwvZXhpZjpQaXhlbFlEaW1lbnNpb24+CiAgICAgICAgIDxleGlmOlBpeGVsWERpbWVuc2lvbj4xMzQ0PC9leGlmOlBpeGVsWERpbWVuc2lvbj4KICAgICAgICAgPGV4aWY6VXNlckNvbW1lbnQ+U2NyZWVuc2hvdDwvZXhpZjpVc2VyQ29tbWVudD4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+Cv1tQ/IAAAAcaURPVAAAAAIAAAAAAAAA7AAAACgAAADsAAAA7AACTDlWF0fsAABAAElEQVR4AeydB4BdRfX/TyokISE9IQmkQHpII70XAggIioiI+ucHCIKKP1QQpSpFEFCKIkWaKPoTREBAaWkQQhKSEALpZYEQ0nuBNO7/fObtedx9+3azm9xNdt+eSe6+9+bOnTnznXJnvnPmTJVInbhzBBwBR8ARcAQcAUfAEXAEHAFHwBFwBBwBR8ARcAQcAUcgBxGo4gRoDpaqZ8kRcAQcAUfAEXAEHAFHwBFwBBwBR8ARcAQcAUfAEXAEAgJOgHpFcAQcAUfAEXAEHAFHwBFwBBwBR8ARcAQcAUfAEXAEHIGcRcAJ0JwtWs+YI+AIOAKOgCPgCDgCjoAj4Ag4Ao6AI+AIOAKOgCPgCDgB6nXAEXAEHAFHwBFwBBwBR8ARcAQcAUfAEXAEHAFHwBFwBHIWASdAc7ZoPWOOgCPgCDgCjoAj4Ag4Ao6AI+AIOAKOgCPgCDgCjoAj4ASo1wFHwBFwBBwBR8ARcAQcAUfAEXAEHAFHwBFwBBwBR8ARyFkEnADN2aL1jDkCjoAj4Ag4Ao6AI+AIOAKOgCPgCDgCjoAj4Ag4Ao6AE6BeBxwBR8ARcAQcAUfAEXAEHAFHwBFwBBwBR8ARcAQcAUcgZxFwAjRni9Yz5gg4Ao6AI+AIOAKOgCPgCDgCjoAj4Ag4Ao6AI+AIOAJOgHodcAQcAUfAEXAEHAFHwBFwBBwBR8ARcAQcAUfAEXAEHIGcRcAJ0JwtWs+YI+AIOAKOgCPgCDgCjoAj4Ag4Ao6AI+AIOAKOgCPgCDgB6nXAEXAEHAFHwBFwBBwBR8ARcAQcAUfAEXAEHAFHwBFwBHIWASdAc7ZoPWOOgCPgCDgCjoAj4Ag4Ao6AI+AIOAKOgCPgCDgCjoAj4ASo1wFHwBFwBBwBR8ARcAQcAUfAEXAEHAFHwBFwBBwBR8ARyFkEnADN2aL1jDkCjoAj4Ag4Ao6AI+AIOAKOgCPgCDgCjoAj4Ag4Ao6AE6BeBxwBR8ARcAQcAUfAEXAEHAFHwBFwBBwBR8ARcAQcAUcgZxFwAjRni9Yz5gg4Ao6AI+AIOAKOgCPgCDgCjoAj4Ag4Ao6AI+AIOAJOgHodcAQcAUfAEXAEHAFHwBFwBBwBR8ARcAQcAUfAEXAEHIGcRcAJ0JwtWs+YI+AIOAKOgCPgCDgCjoAj4Ag4Ao6AI+AIOAKOgCPgCDgB6nXAEXAEHAFHwBFwBBwBR8ARcAQcAUfAEXAEHAFHwBFwBHIWASdAc7ZoPWOOgCPgCDgCjoAj4Ag4Ao6AI+AIOAKOgCPgCDgCjoAj4ASo1wFHwBFwBBwBR8ARcAQcAUfAEXAEHAFHwBFwBBwBR8ARyFkEnADN2aL1jDkCjoAj4Ag4Ao6AI+AIOAKOgCPgCDgCjoAj4Ag4Ao6AE6BeBxwBR8ARcAQcAUfAEXAEHAFHwBFwBBwBR8ARcAQcAUcgZxFwAjRni7byZCyKopDZKlWqVJ5M70dODS+icMz2A0h/1BFwBByBMkRgz549IfZq1aqVYSplG7XloWrVqhXiffP5558L70jejchcnlxFw7I8YeeyOAKOgCPgCDgCjoAjAAJOgHo9qNAIMFGxyYqTeSUrSsesZDh5KEegrBCAZMFBsNAe+W3f6ccy+7LM8EX1eYSzZwlTHIGTGTZbutZXICv3TU5LA3+cxZXpn+2exWn55TcuU1bitDwUlW54MIf/FIdrect2UbJa+WarG+UtDyYPMpdHeYvC2OT2T0fAEXAEHAFHwBFwBByB4hFwArR4fPxuOUWACcpnn30mr732mixevFjOOussadmyZZoMNbFt8mW/i5rUxCc88Wfi4eP+xBe/x++i4sgWFr+421vchC0q/rgcxcXD5AkNknfeeUfGjh0rJ554ovTu3TtNatiz8fhMxmz39lcei9s/HQFH4AsEaFdcmYQgIeJt7osnivcnXLxN0w9ki5tw8fjj37kXd8Xdi4fbl+/EjYvLbPEUd8/CVPRPy+OWLVvk5Zdflnr16smoUaOkRo0a5TpryM37hXIzjdXdu3fLhAkTZMOGDTJmzBipX79+gTpWnjKE/Fxz5syRd999V4477jjp3LlzuZEXbN944w1ZtWqVjBw5Upo2bVpuZCtP5eiyOAKOgCPgCDgCjoAjUBwCToAWh47fK7cIMInftGmTXHvttYEEfeKJJ8KEJT65j3+PZ4RJTlGT66L8eT7zXlHxZEs3mx9xEgcuM+6iwhM2W7rZ/AiLs3tMoHbs2CF///vf5YYbbpDrr79ezj///DQBmgpd+r8Wf+aT2fyLy1fm8/7bEchFBCCFPv7445C1I488MvRjs2fPlk8//VQaNGgg3bp1k8MOOyzdbgn/0UcfSfXq1aVVq1ayevVqee+99+SII44IYWlnOBaE5s+fHwgSCM7WrVtL+/btA9lpbdHCQq5B9GzcuDHcb9asmXTs2FFq1aoV4uIPYekv5s2bF+Kk7UJg9ejRQ+rUqRPuEw65yU/t2rXDIpT1ZTxv92rWrClt2rQJfc369etl3bp1IS/4QzbRlw8ePFgOPfTQEC9prVixQhYuXCg7d+6UunXrhrxCBuIsjfAjx/6Qd9yiRYtkxIgRctRRR8lLL70U6oaVY3nKMjJxUU/+8pe/yPe///0gMzJSv770pS+F+vPvf/87lCHvISNIy1M+kIvrlltukQcffFB+8pOfyE9/+tPgdzDltTKnLX39618X+gpwHj58+EGXrTyVn8viCDgCjoAj4Ag4Ao5ASRBwArQkKHmYcocAExW0Sq677rowOXzqqaekZ8+eYWLM5J9JA45wTBz4DYHABNvu2yTaJj5o2BAOIgHSITM8ZACTcZ475JBDhMm7OeIwco/4CctFWEgFi9vS5Dmb2JiM9jzhmXDZfcKajPhb/Lt27Qqkg03OeN5kJx38Lb8WBzL93//9n1x55ZXym9/8Rs4991xuhTjJM8+R77hDDtLHESdhMuWxdCFBTB7Cb9++PWDJdzDjcucIVEYEaEc4CMyf//znQvuFHPrXv/4lU6ZMCe2d9nr88cfLRRddJH369Al+a9eulcsuu0waNmwo3/zmN+Wmm24KZBNkyG233Rba4ty5c+WBBx6QV155RbZu3RraKKTm6aefLhdccEEgG60Nv/3223L33XeHNK2Pgtj8yle+EtJp0qRJiHPp0qVy1113yauvvhriRHba7wknnCA/+tGPpGvXriEcxBdEUffu3YNshKEvIr/IdcUVVwRC7L777gvh//a3v8mjjz4aFmAgP0mDvP3nP/+R5s2bBzL06aeflscee0yQAUefNGDAADnvvPOCJmG8jwkBKtgfqwsmdvy9AHa4BQsWBMIQnF9//fWs2pPFxWNxW5h4GnbPPosLY/csbDweuwfRSb1duXKlvPnmm9JGyW7uURfPPvvsUA8oXzQq7T1n8Vkc9jsev/nZJ2Htfmmes+eL+7R32q9+9Su54447hE/aKf7x+paZLnGaTJnxx+XlXvzZop6xOCwsn7zzeceecsop8tZbb8kLL7wQtIIzZbNnS/Np6dgzJZWruPAWZ3FxFRfG7hWXBvcIZ2nEnzE/e94/HQFHwBFwBBwBR8ARMAScADUk/LNCIMAgF6Lu/fffFybSbIHPy8uTU089Vbp06SKXXHJJ0JSBXGDy/cwzzwRtKSZdTPLZSnjyySdLo0aNwkQMAoAJ/qxZs+Qb3/iGTJs2TV588cW0NtZpp50WwjPpID3ICMhMtKC+853vhIk9pOj06dMDEcu2ciYlhF2+fHkgP4899lg588wzC2ynIx/IRBg0Y9jaxgQH8hPi42tf+5q0bds2hCEcGl+EgzBp3Lix/Pa3vxW0uP73f/83EL/Lli0L5AcT5c2bN4cJG3lkqxzYoEGFlhaaI2x/nzp1qgwbNiykhfkAwkI4sK3unHPOCcQq6eI++eSTkB/IzW9/+9shLkiPf/zjH/LVr341kBP3339/IHwhRsAG4nP8+PECMY12FxMSNNLOOOMMGTRoUIEJZYWoeC6kI7CfCNgEnXYIKYR2I+0O8m/06NGhjUAezZgxI2hD3nnnnUGDkz6CdkZ7R2MUkgmy8aSTTgptFRMgkIz0UbT3Xr16hT6APoU06HtuvvlmOfzww4Mm6cUXXxz6OZ6nb9q2bVvoAz/44AO59NJL5aqrrpI1a9bI1VdfHchZiMd+/fqFNot8kLW0Y+RDUxV5IU9p148//ni67yC/kK30ZR06dAh9Nf0y5Ouvf/3rQJih5YgmK/khXfo/iFwWZ8CGvpo0lixZEghSSN177rkn5JP4KxrRgcxcEFpxR19LXris3zUCFNIQ3Ck/y3NJ4onHX9rvRcVPPPF7fMdRXyhjyo93C1qrlg+0l3nP0v9D8JuLx2N+fBblb2EszcyyJ71MXO2ZknwaAfrLX/4yvF/ZIUGdjJOMRaWxN5mzPVdUPpA1W3jeqRCgtD/GKIxl4rKVJI+ZYbKlg1z4x0lfnisqj8Xlg3uZ5WRxZfMnXfwz7+0tn0Wlk5lf/+0IOAKOgCPgCDgCjgCDGneOQIVBQAfIkRKFkZKWkU4AItVWilTjKFLyM9KJfqTkQKSTrXB/yJAh4b5O8iOdwEdt2rSJlECIdGtbpBO2kGfVIo1+9rOfRS1atIhUGzLSyX6kxGA0cODASLejRqp9E6n2VURcSiyENHVyF6mmUvDXrZyREgiREoDBT4mNEIeSl1H//v0j3YIaKWEZKdkQzZw5M6Spg/lISdxIt6uGNJV0DOEIr9tQg8xKKKTDqwZrpGRjRLpKeEakoZPhII/aV4uQQbeyRxYPeVDbnpFulw15VrIhnR4YKeEQqfZqhIyqzRVNnDgxpAWGSpaG+BAUGbmQW7VrIyVXIiVaA75Kxoa4lSSJdFIWsEJ+JV0i1fqJVNsrOvroowPeSugGWZEPPJVojZQICVhQnu4cgcqAAHWd68MPPwz9CW2QvkYJjYh+SLeGR2qfN6Lt075vvfXWEF4J0NCXKLkU2qeSYZGSqCG8kiKRLoaE9qdamMFfFxxCG540aVKk22RDv6ALMqHffOSRRyJdDIl00SPIQVj6QjUhku5D+T1u3LjQJ9KmdbEpLR/t2/pI3UIf+gfkpz+kb6EvxFkfp6Rs6G+Qg76EvkzJzUg1OkP/pCRqlJeXF/pt+gT6RDUBEGTRxZyQR9UujMDgxhtvjHQLfKSLMBFyVzRnfR04UG66mBbyx/vK6oZ9gp8u4EVK6AUswABn9/lOGN6FxMM7AGzxw8XTokwIZ34hQOwP/tzPDENclIkS72lZiStbGrwXqFe8j5WsTr87SIb8IVs8ffvOJ2mQP+pdtvhNVIuH9LnAkHzzbKbs9kxpPikX0vjFL34R3o+6aBAex9+cYcI7jvZKu0WOTEwIb+Vs7zp+U295huftGYs7/sk9ZCG8LmgGjEhnuLYjJZEjXcQMweOyxZ8vyXcrA5OL/JAGv0k/Lp+F5VMXfIP85KO4Oof8RTniJi0uc5YG6YMP5Ure+c09u2/h8ae+mLyE5Rl+u3MEHAFHwBFwBBwBR6AoBJwALQoZ9y+3CDAQZoDMxFy1FcPkW7eRRqqpGAbnTMAg9piM6Ta2iIl6nk6yn3/++Ug1rcLEnok3jkE8hCgTcgjAhx56KJB8TMQhFJhsMLlXzdKQHvFAJkAiQlZCMiDLH/7wh0DEqjZXpNpaEcSkalQFchFigIn7d7/73TBpiqeLjLqtM1JNqRB+8uTJgcyEAMHfJlh//etfA8kBUUseHn744RA3kxbd0h7uQQhDZqrGTaRaYSEMpCkEpG4lDRMqsAET4ldbZyGvTBxIF8JSNVjDZBcZmUhwqXZryKva6AtxM9l89tlnQ56MRH300UcDFkzGdftqIEchTcEczFSbKRA1yA8JOn78eJIoMMkKHv7HEchRBGwST/ukLakdzeiPf/xjIDdoZxAlEAq0LRZNaItM6FnUoQ3Th0BUQkBwQSJAhLI4Q18EeWptlrggB+g3VHM70m3w4ffvf//7QO7oVvpIt+KniQ7SoS/jQgYWOEgPAtQILSMt6Kts4YX0VOMv9JGq6RnSoPgIy71sBOjtt98eqRZ9WDih/7K806/ce++9gUhT0yahv+KexQVu9H3t2rWLIIErkqPsrbzUhEHAlXzQ59Jv/+lPfyqAHWGzEaD4Exe4qemAUI8sHhbtIMPpg3GEo35QLrqTIfTd+BMHDmy51L5oWPC7/vrr0/7UAd4rqukbZLQ0qA+qIRnIcwJTD1n8o0+nTCH1WXxjIS1P+30ILt57I0aMCO8kniFNHPdUYzj68pe/HKn2aChXFhnVrnekmsshjIWlbrDYZvn485//nMaQRUbi0N0eWYmyEFEJ/pBWcQQomLAQCZ4mL+XHIsY111wT3t8kQzxcuuU/YKG7IAKxz8Kl4ciCLPUAAhdHWZkDU9ot7Z/w5I8FCxYfqP9JEKCkRx9BO0cu8kFaevBTWBBm/IOz+mZ1jnEOYyvyzzP0PWqGI72gTDjGYYyBVHs7jC8sHj7BhTjHKoELBuBm/txjsVVtyIaxmOVdd9pELIYQN88avowtVHM8+uc//xnKhfFbp06dItVwD8Qp8fKMO0fAEXAEHAFHwBFwBOIIOAEaR8O/VxgEGAgzeYCYRKuTSTmDXSZVEJQQkWhFQiASlgtC4L///W+YUKBJgdaKEaCQEQy8TeOACRdhIToh8tRWXXrgzXNMRNBoZJJDvEwMIFHRNtVt9GFiyECdeJANAoMBvZ7qG+LRLfchLJNWyEGbGDApYfJB/GisoulKnpgQISMDfPwgXfG3/JIfJmdGjIAFk18mouTBCANk1QMeAmEKiUo40uQ+ExomNzaBtolGnAA1DdDnnnsuTHjJLyQH8ZJXJuZMeCFwmNziRxrEBeEC6QqxwiQXf3eOQGVBgPrOBZFHu2cxgIk9zto//RSLFfQXkEpqaiK0G0glFjMgKHG0WZ6B9KSvo4+ivUGeQgRx0UYhWdAcpT+hbUIwQBSwAAKZpNvJg7ZnnpJVaPpBACEDfRLPQJ6i+Y02HH0dxBR9Ju3a+gf6OxaJSkqAQpigta/mMtJ9M3HRh9AHQ/Cgla92DkM+yBPXk08+Gcgm+g9Ij4riKHMwpV8HS8qLvp2+mZ0BYMcFcUN/jiN8NgKUuPRwqEBM0sfy7oNo4iJO/NQ2bLoP531GOYOZmhYIcYO1pUF6kONob0LG4/BDC5L3G3JRD1jE4x1D/OyMQOuf+mQEKO8BI0Ah0UiTOsV7irpJfeOdhyNvvAsgtkiDizTAg3cQYan/LMqRX+RFJu6TNhrAPMO7kOcg46jjtA894C+kYXkMP0r4h2eKIkCp75dffnnAg/epYQKxi0xckLDgjcy0z4d0MRVCGH/wYbETwhASmfKgHoA9eOB4jvR1233IH+ENF3ZzsNhIedM+GAPg9iWflg4LoZQvsiMTZQyhCP6Qk3ES1PoDyh9ZqLcQtPRh5IPfeVreOMqKvoC+g7EGzuQkr9SZ//mf/wn5YEHG7kPGUv5ggxY4cRi+lC142vPER32mzlHXIImpA+BN30pfgiOv7hwBR8ARcAQcAUfAEYgj4ARoHA3/XmEQYCDMBCxOgCI8fj/84Q/DoJwBMr+ZbLG9jgsCAI0bBu5qPzRM5n/84x+HQT8TcwbMDK4ZpENOMCBn4kU8ONJFIws/JihqiytNgDLgR2uTSR+OeLh4Vg9TCGmgocMEQW1xhokHsjKhNfmQle2e+DMR+d3vfhfCQ4AySUUjh/hMTuRh0sUzpIuWCgQFJAuaJ0y8mLAY0cLEAFyY9ECA4vaFAGWywkQMDVywIg5kQVuMySsTGEhj8gWhap/gxaSLyRZy43ySEmDwPzmOAPWci0UEJukQVpCHONqOOdo3RBmEB9qVtB8IUBZQ+I2zvgVClIUR2jPac4SLX9b+1b5xiIf2j2ZfnDCjf1D7nYGQpM3iIHzGjx8ftMMgF+jr6DNJg4UlCBiTYV8IUPoOtVsa0gIT8k//da6aIVHbg0GjFSItnhe+IwsELuRuRXBW5uAO6cM7gj6c3Qv0+/TblCH1ASJJD98J2QIPdi5kboGnf4ccpszRPGRxjXjQuuPdBhHFe4LdC6RN34zJERbnMK1AmRnepJGnpBVkIqQehBf3IZ5599gCHHHzzuOdgnY/YbkPKU1caA9DbpI38mAy8U5gCzcEKPJC1uOoW5B8yAnhNla1AUmDfCAD2skQWZBfthjHOxMiETyoi5iHYIcFz0HKU7/JI/nfV0feiyJA0TYkz7RJzENQbshLWwYTZIK44/2GI++Qf2rLMuQTspCFRBYlkRutWfIIXvjjSJ+dLKQDxrRTwwVMISlpG/tDgJIGF3LSZ1D2j+ruDfJBGfP+hphGNohmHHUOUp109aCrSG3+BrmQjbZPOXGP8BY/YwvKCqIcZ3WOzzytc4wByKPaAA73SJcxAwsjaIViJgR5kIsFbfAlPFqwxEE6EPbgS91S2+jhHovWehBc6E8I584RcAQcAUfAEXAEHIFMBJwAzUTEf1cIBJi8QRRkEqAQbWwXYwDPxAsiAc0VBul8MtFEi4GBP5MNyEIjQCEbccTNBIaJqW0/i5N1DMwZ2DMoNwLUtm6iOcPzOBv0M/llEsqEj4kfE322LzJhI35ki1/IyUSLidD1ui2RyR8EKL8hWInP4icNZGXiiH2/H/zgB2EyQD7ZFsuEgoksW+NxPFtaApTJF1o2bNtlQsIkEQKUCS/p4WziwyQcooa8ou1CXuJ5g9QwjTQmUDjDK/zwP45AjiJAW+WCSMKOZlEEKH0Y5BaLL5AjcQLUCFNrb9jfhACgjUHEoKVJn2QXGueQlcQD8URbow/IUxKCMGxHh5iDiIIQYesqZARy0u9A2ED4oCn6ve99L/SfED30L2h+I4dtgYfYs76JdLiHFh9kB/0AvyFTWGiCMIHIw5EW9+gXkYW+AzuhyI2M8TzhN16JWciniuAMB2QmX/Sj9NX4k28+6U/BmP4Ucpd+EX9IUiNAedfhBynKu4t3GO8ncLO4+A7JCKENWQQxSBpLVaOY9wnP6GF6ATaIUa6H8rUUIa94j+D3qBJiaFfecMMNQTbks3QgO7/1rW+F9wp1Asc9yoP88U7M07pFulwQoNQt6ijvBmTFPAsykl+0eomfdEmfuNA2hLgnPrSacdRFCFzemZCdxEtYnuGinoAV7zywwpF+aRzxIUumDVDiZ8s972o0qg07wnOBCeQsYw7TaOQZI0DBhHZq4flk9wptlmdsIZL2CdGIHzLQlkjL8IHc432+PwQomBCfkZyQjfF0kI1yovyRj/ERbZiyov7Q1gljGPBJ3YXIZXxCnSQNxgn0b/jF6xzPMk5Bc9MIU7ACV/KN1idpWtkRnn6BPoOyR2MWhz92xiFAaQ/IiCz0L+DozhFwBBwBR8ARcAQcgaIQcAK0KGTcv1wjwEQqGwEKOclEnAkXg+mLLroobMm+8MILI7sgTdE+YqAfJ0DNLiiDawblRRGgq1atykqAQgxgu84cg3jkZFCONgcTOtJlq6ltA2WSAbHAtnHks0+2Q3LgEZonTP6w/cdkAu0rfuOQk8nMeJ1cox3CpBeCEXKWONlujmYXmltoTuCY7JSWAIU8YWJJXJkEKJqqOGThYoLExIeLyYrlx7CnPNjmCtkM9jib7IQf/scRyFEEqOdcEKC0JQhHtqrj6CesDbHgwCICGo+0N7TC+Y5fnADlGcg0yCQIU+Jl8k9/w0VbZxs1/Rp9BP0GRAxEKSQbYSGSiB+SAi01SA5IKUhQTGpARtHHsAAEEYvGFm2avgwtPGvzkJwsPBEnecSfPhRtLCNo8UOuTAKU/HMPeU27EZKEdC0vJiv9KIQRfXBFcOQL2TmIDoIHjMAcLHl/cfE9T0lDiELeISxWUbaUSZwAheBhIQzyaLgSyqZVb/FAqoELuxMgrGw7OLjST0Oe8U7AUTb4QyoS1uoh8iIfGnj0z1YvyQPpQLBST4iLRTwc5Z1JgJo/cRkBiuYg6bIzATKLnQLEiSMd4uE+9RQCkDDnqkYwDj9kJV2IVwuLvDyLqQhIOMiwpUr44vAvjSMu6lwmAWqYoLkZx4TyAPPZs2eHRUfKl7qNIx/YdaX82E5u7QKZeI7f5I1n7r777pAf6gBENQuEjD1wlj+eI20WHiBA2b1i98OXEvwBMysrxgrEwxjI4rH7yAaeyMN36i6ap+zaQHbyZmGRD4KSbejUSxZUcODI4ZH48TzO8KV+km/T4qZsqVOEZVxAmtRj6gZ1nL6HfoT7ELPgQFwQoODLYhJy4cdV2nIPwvkfR8ARcAQcAUfAEag0CDgBWmmKOrcyyiCXAXI2DVC2ZTPAZ4DN5D5+MVFjcI8mDUQkg2kOQYJc3B8CFBugTPSZaDIYxyEjA3LSYWsjk1vsbjHxRGOU39jWY5AflxESFy0ZJlb4QwKwDSyTALXJDBMTJn+QB2xhhdwgTiZs3IOcKCkBykSECTkO2ZnsYB8UG1x2CBKTG9MAzSRAIVyYpAzXCTokSjxffGfrIDIim09UAsz+p5IgYKQBRCXa0ZA5LGgwwece7QEygUNmIKUgGmlr9FmQRWiExglQnqH/OleJFNo/2nLEwcU9NNPQbocgRTONfgdTHCxO0P9YONo5YdEKg9iEZMNEB8+xlZr+jPgIZ/JB0tCX4QexRR+D/WAjtCwsCz4QF9gyxI++DJIkrgFK8SML6dBn08+xiEV/YenSD41XEhctPLY500dWBEeewZ2yRFuNcrLDWuyT/tLsWIIrxA54xAlQiDawo24QD+8OnuOKx8NviHUIpqv10CAcMqA5C6EIUc77CD+2rVPemDWwcgNvHKQURCyauLxjWVRjizI2KHmGums7JniG8sAfbUf6dhz+mQQo9RkzMMjCu8nqoKVLOXM9qlqokFu0ExzyQLKBj9l/JQ88x0UbQTZw4R2EI+7SOOJDvmwEKGkgA+9RMGERDyIP7Hk3ki6YsyiAIw8PqXYtxCGkN87ySD2H5KPtGwGKrLQj2gUkLu/J+DPc5xm0bwmD1iUOmUvqDCvGFuBPXWSBBRfHinDES3rIyjueNgwuOPJmjnD8pq4RJ3Z9ccRHnaMMIW2pu/hRp+nb0PC1OscnC6zUa7CEMKeu2UVY+j7uU7chbUmXLfDEj9Y6Dj/DOHj4H0fAEXAEHAFHwBFwBLIg4ARoFlDcq/wjwGCagbMRoEwecJAJTFCYRN94443pgT3hGSBDfjKJ4DmIviQJUCYJTDDRnsGRJhcTQmzuoV0FscCkgskBBANb3mwiQFgG8PyGqGBgjzYYEy/bAh/XACU8kz1IAQgStHPIYzxd7J1CBptGCZNxOwQJLSscExjuo2GGja84AUraj+pklEmLaZllI0BJE8dEGIKCiYzZKyRP3GcSBHEKUWLb/sJD/scRqAQI0A646B9YTGDyDtlx6aWXpg/7gWTAj7aI1hPh2YaOBijaYdamrI3Tl2CzES1v+gHIRbTD2DZ+5ZVXhj6HtOgnIDRodyzUQDJghxDbwKSD5jpxQKBBjI1Vu4z85oLUob/i5HcWiTicCcKTtowcLHRAokFOsJUVgoItqeQFmSB50HSnb6IPoH+GxIFcNWfYQGRBGEEosUUWbVVkoa8iH/hDfFQUsgM56XPptyHDMMtCvw6hCIFmV/w3tjXBNb4FHgKUvhitOuoNhCmEYPw5i4vt2Lxv7AAa4uKdYlrHlDl1gfcjZcM2aMLwHqAcCIvGPmUPSUa5QkDRb0N08ZmpAVoSAtTMMFDXeFeem6/dSdrmwIsLLWTyicw48m4EaFxb1eoNGoNGRCZNgJIG8WN+Jo4JdZsFQ/KDDUqwpG7jwBICFFLQtm0TD84IUPx5Bk1aMGBxA1xIA+IYZ8+ACe9dxi20nfG6GIDDv6SONLho35CJEMa2kBAvA4uPPJAmu1GQi7aNi6fJd8KZlijyWRjygHYmxDh1zsKBCeMb0iR/jMHAkvKG7ERjlvFM5sXuluG6sAqJSrosFNCmaFuWZvjifxwBR8ARcAQcAUfAESgGASdAiwHHb5VfBBg8M1FjwM2EAQKPQTEXJAEDaiZtaItAijLhg4hEIwotFSbfhGXwzfe4BihxM1gnTiaa2BxDawZnkyEmmxAVEA1oRaEBymCcySKamGhwMPFF2+t6teNJ/GhBsaWUONDSZEJHHJAWkI6QA2huMsFHRiZXkB9M/tgCT9xMmviNQ062wKIpQV7thHkmWOSViRlkBxpfkBeki0y2BZ4temBAXpl8oYVB2Jdeein4gxmTVohPJmrYUyU/RRGgyANOECZMes4+++ywZRZ5SRftGTR6IE9Mi4dn3DkClQEB2h8XbQitKNoBWpeQnXw3cgUSEpvB9AfWV9BuaOe0R5y1Gz4hGiADaL8QVrRhyA0WXGi7EJy0ccKiVUl/R1/CfUhVwvMdkpXtyfQfaISitc7iicWJnISjb2XbrpE0tG1IHPos4qXPJA/Ed+2114ZP+jL6GvJEWMJBvMUdeSUMBCrmS+hDSB8Z6SdZMOIZ8oAjfHl35Ad8MElCH8puA0je4i7eJ5QVRB6kEFqGEKD0xxBNkFEcFFRcHNyz8kEG+mzKExnMDAt1EIxt8ZA6QhrX6/sKf8oQwpxFOEwf8M6CMLPt9NQBHOVgBCj1ozgNUOoW2se8KyFvkc3i4JPfhIGcJ4xp95WEAE1aA9QIP7CDzDdMIJZph4YJ5KjZ1IxvgS8pAQqOlDc7Phgn0DbQ0sThb5+UDYsC+6sBmpeXF+oBY4OlWcwFUJ6MOwhH3iHdIS35xFFPzCEf5YUtcCM2uYcfZUmdwx/inLYPuYn8pslOWPoa6jh1kwVitFJZJOIz87LxEHEzjqGOGMFsdYk4y9KBT0mufZUhW9z7Gpc/VzoEHPvS4eWhHQFHwBGoqAg4AVpRS66Sy83AGwKUyRjb4tB4wb4Zfgyo2WbHxJ1JM7bD0N6ADDBiEU1QHOGxtcnEw7Q3GEgzyGcLIJMqnrfJJAMkJpdM6JmUs2WTCStbTBnAQw7wDDY52YqP5hNyMInn0CXiJX4mMxzcgDYVMkGOcgAImiTEC4lAeMIy+eMQBiYsTICYUOMMg8svvzxMKtAuYmsekxHyalsj0d6ExB2vWiPExVZZZGUCzMQEjRBIBdLHHy0MtD4gl9HgIC+QJExebFKElhLxYtPTZAEb5GXyhpzIi2YYGrdM2JlQM0GGgAF3HM+4cwQqAwI2uWJST9ujT6CPYTsrW0chUTCJAblCG7e2AQmBdjekAYs5mY5+AH+IQ56n30GDjwUOtDPpaywuwkLYoL0JEUa7ZHs2pBSmKSxdwrM4RJ/BQgqynasae/SxHH5EesSFIyztmf6MBSbSh6gkHMQdctnp8jxD/lkMyVOCJZujj4TowIYl/RD9B4fHgRXpWLrZni1vfvSHlB8kF0QQ7w17B0AS2XdwZxENwoi8k8dMDVDCQlBDikIuWx8ajweSCWIIohSCDocMxAehColHn45tafpvNP6RjzLkom6gacc9yE/k4j5xcPHbNECzEaC8y4wAJU3em2YDlHpAHGgoo4HIO4XFABx5Izz3yYMRitRRXGkIUMzb4IivNI60yStkJ+9BCFAwYVGSxQW0XlmI5H1vmCA3mLA4yDPZCFDTUCQuHOVFmzQNUDtMivIEewhC3q8WFrl4lvu847m/rzZAiZN4eBeTHxZwcXH8kQ0TFIwfqEOMF6hzjGUoB2RBJpOL8kI7m/yzcIMjj+CPtiZa29QBFmiRnfpjdY4wlh7EPv0X8cfl4Xee9hXUaUwBIQNpG0lu+OJX1o5xmIiU6GL8A2aML+mLac97c/STtI14Goy/3JU9Ao592WPsKTgCjoAjUF4QcAK0vJSEy1EqBBgUM/Bm++dw3RaF9hQkKJMVBtUQegzcIS/RjmR7HANJtoXaRIxwDKbZZsnEfaxutcTZAB/yAJtrTARJyxyTfzSumCgxwGcCBIHA5BJClokhMjHBY+LEZA7CgXDEjeMTbUm2ljIRYrIBcQr5yIAerS3CIyOTCcgPJoNshee3xcGgH8KRLWVMnoiDSRJxQs5yaAi/kePRRx8NEwcG4mjWQA4zGYaAYcIBLpCnyIDsbEFDmxWyAkKZyTmTJ9JEWwXMOCjFZLFP4kIz9XrVJCIOsEd7jPJhkg8BQv4NixCB/3EEchwBq/PUf9odbYx2DRkAUUifxeKNTf4NDp7Dj6uoNoM/7ZLnIbHoByFq8Is/Y+EgHWjLFtbsQtLfmOM7skGEEg75ILSM3MiMNx4ncVs4kz0eL/eQLZsjXuub0YwnbeJDFvzj6WZ7vjz5IS8Xi0wsbKHdR59M3u0iXxA7LA6h5btUtfJ4Jk6Akn/ynadEEH057xp2DlgcfIIpJ4UTD+9D+nMc94iPMkazFnKTBTfIKN5bOKtbLO6xKEcY+nbStOeRk3clC46QXdiAxRGGMmKhD7IL0oz08M8kQPGjHvFeIH0W4Cx+nkEOyD1wQgZ7J/Oe5l1O2kVtgefdR/pJE6DkjbaKvOyOMEyQG0woT2QFk0wboJDeRtDxHI5yoq1kEqDExZgCrUbyyjjD0uIZxiGkgRyMG3DIUBpHeNJmwYV0IDr5TTrgz32ISvJDPaPtM75AQ506B8Fp4QhrciET+MdJd+4zhmG3DPchiSE5GQPguG8XeYNkZeEXot7qD5/gwliD+sXiij1T3gnQOInJd4hNFqtph0U5TAVkPucEaFFoJevv2CeLp8fmCDgCjkB5RsAJ0PJcOi5bsQgwaGeADdmGzTkmjEygcAycucdWKjSqOP0YrU8mkjbZI5zFYTbW8DNHOCYADFgJZ464mZwQF5MH0mHbOpMvNJ+Y9DERIE0moUwqIVDjcRAX8fA82wfR8CIPTJQJb5MSwvEcv0kPUiMzHiYEyM/Ez+IgTtIkPGQlRAsTTxwTijydSCMf6ZEXHJMZJnuE5x7kLgQE/uQJcgWZSZ84SJO8Z3PIBHZMZjBJQPqkaURLtmfczxHIZQRoN1xxDVC2F+NHX2MTe35nOtqdtb3Me/ab5ywO++SZTEc4/C2MfWYLW9JwpJEZ1uLjM54nSz/uVxIZLb7MsOX5N3kEX/ph3g0QYpBpN9xwQ+gXeT+wuIQfpBMHC9Hfktf4Fnj6Uhx9um0hh1CFUKHPJx52IUBaQTax0EdYwx4ZqGMQrRAxhGEBDLIVRziTE+19yDF2EbA4xtZ34ofwRE6IMIg4FsvsWd4PLLRBcJ2rmsIsEKLJSn/PghracLzjcOSPhTw0ECFr0ZDjoD3eE9iYhQTjHjsQyANyQYDuzQYoBByy7S8BymIi+cNGKo53HLa6Iegg8caPHx/e0bw7KUdw5N3PM2gq48D6oXwboEURoPjzjGnSks88fUeCI3ixa2OsLspiogBtVNIhPGW3rwSotT3e7eBMOizQQjqjAceiMSQ8aUBUUi8Ye5iNTzDmO+9zLrTDIUcpL3bQWD8GBuSHCyKdOkcYTFqQR1y8/TO2QTOU+sNOE4hWxnOYIcJsBPhSVyCpcMRrW+ANX/zK2pVGAzSTyLTfLAhb+WXK6yRcJiIH7rdjf+Cw9pQcAUfAETjYCDgBerBLwNPfLwRsghkfeFuEDN65uGf3+R0feMfDFuXPM5nO4mbQHSdAsXlnMjHR435RaRInYblPuLiMxaWZKQu/M+MgXsuPxW2/CW9+fJo/n5nx8Nv8M2Xid6YfcePsGUuHvFl4Sy8V0v86ApUDAeo9F9t+0YCDTLBDjeLtcH/QsDRK0sZKGrak4ZDbwu5PHuLPJh1fPO4D9Z080PexuMT7wew8QmhRByB2IJGuV415iEQLDwEKYYpGphGg1BPIIrTxIZOIKx4PcaHdZwfZEZc5vrMIZgQXdkmJz/pwS5cFMDSU0bZEkxRTDchJeuwIgICFiGP7vPXpkGTkDXnR3kQms49NehBYEIY40iSfaPARN/cIz4X8PE868TxAgLJrAcLOtodbm0FuFvwgZ8ED3HCWr/CjBH+Ij4U9SEwIQLZj44gH8hZNvExMKDdMukD4ggl2TW288ZASoPih6YmzsmBcAF6YniA+2wJvz0EGYyKDvII/2GNagPxDAsc1Y5G5tI78IMN4JXLZNQJpTNmSDqQ6aWHqgoVRwpIGi50QwmhhWvlSXnznWYh7Fkgtj5ZfKxtIcLAgz8QXl5swpIN9dDSUwR4ZkIf8U6aQtZD3lI+Nq7DFSpwVjQCFCIVMN7Mg8fJzEi6OxoH97tgfWLw9NUfAEXAEDiYCVUhcX8juHIEKiwBVmEu1DMIVz4jdw4/78c/wYz/+ELcO3kUH5aIaC6KaI6LaLKIThSAP9y09SztbchbOPrPlI9tzmX48b3HoADt92/yz+REo7s9vC5/tHn6lcfG49jVfpUnPwzoC5RUBa5tK7IhulRUlskTJFlG7waEfyWyH5TUfLte+IaAkjyipJEr0iGr+ippYEdV4k9atW4uSa6EeKBmV7o+VJBS1Ay3169cX3UYsSvaEvpl3ji66idraFNX+lIULFwaBlJAS1Z6Tzp07h2eoT/H3DvWPZ/VAvJC2aniK2oIMcVo4wiCnam+GcLq7QlSLU5RcFLXzGOJWok50K7goURXkUkIuxKskrajGaJCHfJ111lmCTGr+RZQcE93WLUqghbCko9qdIR01sSK6OyP4k46Sf6KElyjxlcYCmZSwE93RIWPGjBHVoisgN3GpXVNRcizIBGakYfkqSYkZPkp2imq8hjLp0aNHiIf0deFCVCMzYEc5KnkrejiZqNZtSBdMlLQM+VQNWtFdIKJ2a0XN24RwJgNlQFq6y0JUy1GGDh0awuCPvOCrhG7AUrVZw/hi0KBBMnz4cNHt6KH+KNEqSjyWOo8mA+mTjmr3ihKuolqmoqSkqKkaUfI7lPNhhx0m5ANH/qkH1DXC5+XlhbKhnJCfcqMeWPh4OuQL3HiGOqSEeCG5kYc06BuVKA/yqKa8KEEsSp6G55QQDXWOuMEJWagTxEc5EEdpyttkLM2nasjKueeeW+gRZEQ+HONBXUQQNUNSKFzcg3pO3Y9jRpunLcQddYr43ZUtAo592eLrsTsCjoAjUJ4QcAK0PJWGy1LhEGDQzoBX7YCJbhEU3bYXiFAyciAG5BUOMBfYEajkCNBnMDmmf2jUqFEgtio5JJUi+5S3kV+qARhIMwgbyELIRL7HSUvCEg5/uw9QFg/fLR6+q/ZlCAehwjNcmY5nIQkhu3RLcngmWxjS5r3GxXdkhIwykh5/HHKZH+GIm3ukDXHDPWQk3XhYniU8/pYHvls6PB8nhghPvMhNPJn3eBYSFJeZTvAsxR+IQfIB4Yw8OOJHXpPVMIH0M5wNE3DCD1nxIw7iynSkQVqZ5UBaXKTF83wnTsIRJ89YHrlXWodsXIY/aVg6cfzjdZE06LdID5yRAUe+kA2XWSbBM/8P8RdX5whm8hCOvPOJnOSVvPPd6hrhuU+8ReFLmKRdUQQoixqQwXHHAhcEN4vikLrZnB6OJKoVm+2W+zkCjoAj4Ag4Ao5AGSHgBGgZAevRVg4EmBAwcEc7hFV/tEHQqnHnCDgCjkBRCNBn4OIT+qLCun/uIGCEFeXPZWRUJtlkOYZ0wmWSS/F4+M5lBNHe6hTpEr6oNONpWz3NjLsouSxfJjPPFZcecsSfyUzHZOGzuHi4X5RM3CuNM5lMlvizRgJmwzsz/eLiIc6S5IcwOMqKOhB/Bn+7z/eSusxyR26Lx/LMJ1fckR+cYcB34uLCZYYPnvl/4nIXF440DDdLz9LIfM7C4W8yxNMsi++lIUAtfQhjNZMgaibBvNKfEOho4aLtjGNhTO3jpu/zBQ1xPawq7YdGNdrjcXfppZcGQlgPQRO1mypq0zXEhWYs2uVokDM2Nac2SEVNCAjazqQJectOhDPPPDNoMJcET55FAx1tabSZly9fHmRF41lt5gpayhDX2dxf/vKXoO1r9yDS1aZw0DImf8SLNjlawGglo2WMBjna38U5tDjV9EbQOkdbnOfxQzuXS00+iNo4DhrOmfGUBPvMZ9BqRruZsT94qG1d0UNXpXfv3kFrF/z5XpQrKxyQ5Z///Kfo+QehXMABjW7qEpea00hr7xclm/s7Ao6AI5DLCDgBmsul63k7YAgwKUArAi0cLneOgCPgCBSFgE3uMyf1RYV3/9xCwMrfclVUPSBcUfd4tqTxWDr2ubd49xZ3cc+bTMXJbXLsLZ14OAtbVLzFyZQZz95+FxWX5c2ej8uS7ZlsfvYsn8Xdj6cVT8eIVj2ESCBQ0MA0AjMed+Z3i+Oiiy4Ki7Q8A9EVT4dnLFzm8/a7tOHjz+0t7nhY+17cM8XhZ88n+bkvBCjpU2aYpsAsQqZ78cUX5eSTTw7ebInHNEXcQWBCMJobPXp0IAftN596cKboYVaB+Iz723e0ZNWGqqiNVVH7uqI2hO1WoU9IwhdeeEHUvm2he3ioPV65+uqr5a677sp63zzZ4v/MM89Is2bNzCv9qbZdg8zmAREMcQvR+4Ga9ijKQSSrbd6sxKraBhY9OCxobxf1vPlDCP/9738PpKD5lQR7C0t56iFhAUs0uYtzkNGUWTaXNA6YqQBD0tybA3MwULvCewvq9x0BR8ARyD0EdADhzhFwBBJAQAdFBQ4BSCBKj8IRcAQcAUfAEXAEHIGAgG79DocIPfHEE+FQojZ6+JNqt+314vRxLtWsS8fjkJYOgaJOgecAp725Rx55BBXaQhcHfpkryUE8o0aNKhSH7joq5JeZlpoSCIdMZfpn+82BW9kcB4yptuhe07I4qZdqBqBQVBycZWHskwO47Htxn7fffnuh+J5++ulwsFRxz2XeU5u6kRKG6bhKgj2BORCMQ+Iy4yvuNwfTZXNJ4rB169ZINU5LJZcugERqZzqbaO7nCDgCjkBOI+AaoPrWcucIOAKOgCPgCDgCjoAj4AiUdwR0VhK2C69evbrU27/R7EP7y13pEdhXDVBSQnOSbciUXdx9+ctfDlu28SuJFmI2DdB4fEl9Zwv6yJEj09Fhc5VD1theXRqHLWC2x9s2f57N1HwsTXxKlIat7XG7uhyExYFhcUc4tBuVGJQJevAbB4tlOiWl5bzzzgveJcGegBdffLE88MADmVHt9beStAVMGfBAkjigAcvW9kx3wgknBPMGlNvUqVPTpkIsHDihQVwSswf2jH86Ao6AI1DhEchpetcz5wg4Ao6AI+AIOAKOgCPgCOQQArqFPbJdJ3wvyUV4d/uOwP5ogJJqNi1H3SqeFqgkWojZNEB1IhqpDc/oqaeeipTkin7/+99Huu29SG1AJf0itQMaqf3K6IILLsga7s4770zLxZe77767ULgGDRpETz75ZKQ2JqMNGzZEan8zaBkjT/zKjCub5iPh0S4lvhkzZkRqCzRSu6UF4rE4wcmc2u4sFEYJ/iCPheEzW9kpQZoOUhLslSQtlBYyKYkdjR8/PmiHqmmK6LLLLisUrkmTJoVkShKHyy+/vFCaai4gnT++6MFckdokLRRObYUWCOc/HAFHwBHIdQRYjXTnCDgCjoAj4Ag4Ao6AI+AIOAKOgCOQBYFsJBoEWEm2wBMdZKeRePaph+akUyoJCZeNAK1bt26kB3Gm4+HLH//4x0JpkebZZ59dwFQTxLlqCRYKe+GFF6bjgzjTA40KhFENzGjp0qXpMPZFDwQqtB0d4vezzz6zIFE24g+CUA8sSofhi2qOFoqLPECSmoPINSztU+3wB1LWwvBJPiH/4uYi1L5qOkhJsB80aFChtCBRd+zYkY7HvvzqV78qFDaTkEwSh2yyQcRmOrX7WQAD8IA4d+cIOAKOQGVCwAnQylTanldHwBFwBBwBR8ARcAQcAUfAESgVAvtLgJ544omFSLFevXqlZSgJCZeNANXDgdJx2JeFCxcWSguCEE3FTJeNLD3ppJPSwXQLeaG4spFr9oAetlQo/HPPPWe3sxKgN910U/p+/AtyGLFpn/fcc086CDZGzT/+iRbotddeG6G1qeYH0uGL+rI37PWQ0whiNZ4G33VredYot23bFiFDPHymbdVsBOi+4gCxHU/LvlNf/vrXv0Z6uFRWOd3TEXAEHIHKiIAToJWx1D3PjoAj4Ag4Ao6AI+AIOAKOgCNQIgT2lwDlECojpuzzm9/8ZjrtvZFwBMxGgD722GPpOOzLxo0bC6VFmmoL04KkPzlEyOSxT8hac9kIUg5VQpZsVybxR5z33nuvRZeVAH3xxRfT9+NfLrnkkkKy3XjjjekgmHVQ+6KFwlg++KxWrVqEhiSEKBhDZma6vWGfjVDG7EBx7rvf/W4BuSj/uMtGgO4rDg8++GCBtOL5t+9q/zc655xzIurLxx9/HBfFvzsCjoAjUKkQcAK0UhW3Z9YRcAQcAUfAEXAEHAFHwBFwBEqDwP4QoGgEVqlSpRBJBSlnbm8kHOGyEaAvv/yyRZH+5FRwI77in9m0IV944YVCYeMEaDYSMh5nSb5ff/31admyEX9F2aG8+uqrC8kWJ0CJdNKkSRFb8ksiB2HatWsXsRU87vaGPTZJM+M/+eST41EU+o42Z+Yz8ZPnk8QBUvfMM88slF5m+vabE+Axc+BEaKFicw9HwBGoBAg4AVoJCtmz6Ag4Ao6AI+AIOAKOgCPgCDgC+4bA/hCgkydPzkpOxbU390bCIXVJCVAIVyO74p9xW5yGAlqH8TB8jxOgpSHWMuOx33p6uiWXVQN0/vz56fvxLxDEFod9ZhKghJ83b17E4U4QexZub5933XVXOqm9YY/d0cz4TjnllPTz2b5w+FPmM3FbrdkI0P3BAVukDz/8cCB4M9Mt6jdkcDat4Gz5cT9HwBFwBHIFgSpkRDtGd46AI+AIOAKOgCPgCDgCjoAj4Ag4AhkIPP7443Luuedm+IroIUiiJ5gX8jcPPYBHhg8fLqqpaF7pT7VRKUOGDAm/+T5s2LD0Pb7oQT0yZcqUtN/o0aNl3Lhx6d98UQ1Q0YOMCvippqfUqVOngB8/lAAVPdCogL+e3i5K5hXwUwJUXnrppeCnJKSoNmOB+3pCu+jp5wX8ivtB/k899dQQpEWLFrJixYoCwZX4E+LMdNddd50o4VnAm9/XXHNNAT/7oQcpBZzVbqmovVOZOXMmij52u9CnnmAvrVq1kr1h/+abb6bLySKh3HiuKHfVVVfJLbfckr6tWqpCueiW/OBXVjiQ37lz5woYTJw4MdSPzZs3p+XI/PKDH/xA/vCHP2R6+29HwBFwBHIXAQhQd46AI+AIOAKOgCPgCDgCjoAj4Ag4AoUR2FcN0Pvuu6+QJqDOKqOuXbtGu3fvTie0Ny1EAh4MDdC//e1vheT/+c9/npa7tF+S1nwsLv1169ZFyM9hU2CeeWH/FLc37NeuXVvoWeygYmqgKKcEaYFn4qfO88yBwgE7qZgY+NnPfhbsoWZi0KlTp6Ky4P6OgCPgCOQkAr4FPieL1TPlCDgCjoAj4Ag4Ao6AI+AIOAJJIFBaAvTDDz+MOOQok3Cy39iVjLu9kXCEPRgEqGpRFsqDarxGbLnO5lTrMPr2t79d4Ipv7U6S+IOIVU3XAhfyZjpsZPbs2bNQPu6+++4QtCTYN27cuNDzqhWcmVT4rRqYhcJ+73vfKxA2KRw++eSTcBBUHIf44VrxRLMdeIX9VHeOgCPgCFQmBJwArUyl7Xl1BBwBR8ARcAQcAUfAEXAEHIFSIVAUATp48ODopJNOSl8jRozY68nkAwcOjHRrfIH0S0LCHQwCdOfOnUFb1Yhb+/zJT34SZdoUfffddwMZaWH45FR4TqU3lxTxR3wPPPBAIaLxxz/+sSWV/gRrNDDjcvFdt7CHMCXB/qc//Wmh52vVqhVh3zXudFt9xAnxmWllHlaVFA5oER9++OEF0kM7NS8vLy5W+K5mDQqEQ0Y1q1AonHs4HUQyBwAAQABJREFUAo6AI5DLCDgBmsul63lzBByBcoEAg+/MyU65EMyFcAQcgZxGwPudwsXrmBTGpDQ+lRW/ogjQTKJrb7/VBmf01ltvFYK8JCTcwSBAERSiMFu+jj766OjSSy+Nrrjiiqhbt25Zw/zyl78skNekiD8iRbM0m1yccD516tRo+fLl4fOcc84pFE5tcUYcFoUrCfZqXzTrtvXq1atHaoM1uvLKK6MzzjgjEL6ZMpF+pksSh+985zuF8nfUUUdFaKguWbIkkKHU30yiFDk5rd6dI+AIOAKVCQEnQCtTaXteHQFH4IAjYJNF+zzgAniCjoAjUCkR8D6ncLE7JoUxKY2P4WefpXm2oodNggDt3r17IO2yYVESEu5gEaDIe8EFFxQi2TKJvszfbJXHfmbcJUn8Ee9XvvKVUsuFnN///vfTYpUEewI///zzpU4LDVg99Cmdln1JEgc9pCliK3sm/nv7jWxx8wQmm386Ao6AI5DLCDgBmiOly2AUQ9eVcVCaI0Xo2chBBGiPbE9avHhxNHv27BzMYRT6HO93crJoPVMVHAH6HvqdlStXhpxU5nZq4yMOLcFG4fr16ys9JqWt3mDI9f7770eLFi2qdPjtLwF6ySWXpDUOs2FfEhLuYBKgbHf/1a9+FVWtWrVERBuH65Q18QeOn376aaQn0pdIJiME0cgs7QFUVmaQoE2bNi1ResOGDSuSYEySAEW21157LapRo0aJ5AIHtslPmTLFsuWfjoAj4AhUGgSqkFPtCN3lAAI6uYHQzoGceBYcgdxAQCeLMmfOHLn11ltF7SyJalCEjOnWq5zIIP1NlSpVQr9D/+POEXAEygcC9D2vvPKK3H///XLjjTeKap4FwXKl7ykNytZPqS1DUZuB8swzz8gjjzwibdq0EfotJXRKE12lDGv9u5Kfcv3118u5554rqnlXqfB76qmn5KyzzipR+as2nrRs2VJat24tY8aMkVNOOUV69OhR7LO6zVyUMCsQRu1WipJUaT/GEePGjUv/5ovalhTdgl3ATw8oksMOO0yU5Ev7Kzkm27dvF92ynfbjC/ERb9zpVm7RA3PiXunv77zzjqg9TFGtQ6FNZbpWrVrJ5ZdfHupI/fr1M29LixYtRInRAv6qhSgdO3Ys4MePW265Ra666qoC/vRn11xzTQE/8vuvf/1LHnzwQZkwYUKBe/Efans1jMP+3//7fwIe5kqCvYXlU22ayrXXXitPPPGEbNiwIX4rfFfboPKlL31JqDNF9S9lgcOCBQvk4YcfDv3+li1bCsmFh2p9yvnnny8XX3yxdO3aNWsY93QEHAFHIJcRcAI0B0qXwb2ugMp///tf0ZVJ2aUDnqpKSpSlI02oVlKBADkQ7mCkqSbqQ9bKGk/D72Dm8UCVpeWRPOcqrqHe0Eb0ysvLCyToscceGwacqnkgkBDcO1Btx+pXkp8mv9rQkr///e8y9rXXpDoTivw2k2Ra8bhS0R9Y7Mgrvd0B6upCdkOamuCB6V1TCFuZxvEuy+8pXA/cO4S8pPLItwOH7IHE1d5ZEB+zZs0StYEnqjUW+p6TTz6ZjFcqZ9hDUvztb3+Tm2++WRo1ahTGSm3atKnw/fCBKExbXIeIg/TRg27k0UcfldNOO61SEaAHAuuKlAaLLIxv9MTzQAhC+B555JHSrl27QiTrgcyXnoouehCRqOa7qKa3NGjQQJo1axZkg5xN2q1atUogHtVGqKhWZSBySaco4jPp9LPFp9q6orY/AwbggAMD1VwVNUsQ5Mz2nPs5Ao6AI1AZEHACtAKXsg3sISD+8Y9/yG9+8xv5+OOPQ44CbVfGREQFhs5Fr0wIGGt1kNoDkwQcmh233Xab9OzZM/zOBfITbRI0zO68805Zt25dWhs0ZND/OAKVHAGjWFPLaGULRmZajA8gQZmEn3nmmYH4q2yEHxjgdNt70EhjkRhyBK2n5557TiobHvtSA4381EN7gtYfpDqahU6A7gua/owj4Ag4Ao6AI+AIHGwEnAA92CWwH+kzuEfzk4E8q/IfffSRHKoD0+at20i1GtWDZsN+RF/koxA3u3btltW6haVO3cOkvq6u2kSjyIf280aVqtVk6+ZNsmb16rCKWVvzWZZphsmk5pOV3T27dkmz5kdIteoprb39zEqRj4Pr7t17ZKVO0GrXqS0NVUulLPOIIFUV123btsq6teukcePGUqt2rTJPk3yu1XLco3lt0rxZmWtBGq6rFNdDdVtSw8aNiiyDJG6A6YZVK2Xlhx+mNQDq1KkjV199tfz4xz8O266QqSI763seeuihsL2fdtm47uHSpnELqcJu0jJifKopmbNl8xZZtVb7gabN5LA6h8nnUdluva9WtYp8smKl9nk7deteK9XerVqmbYS6Ee35XD5ZtUIOPeRQadyocRnnsYqQx23bt8kKLcfmTZtI7Vp1yjSPaF+S5uo1q2XHzh2a5oHpX+lzVqz8RGocUlOaNmlaZvXU2nZVzePOz3bIcu0PGmt/Tn0tqz6dLoWmN3/lclm7ZaPim6qnzZs3D9s0hw4dGvrag6mVZLgciE9wpi2xSHPPPfeInnQctuuyIAUBym4ZtidbuAMhU0VLA2wgQNnq/Itf/ELefvttAT+2NWNC4PTTT3cN0IpWqC6vI+AIOAKOgCNQyRFwArSCVgAGpgzs0fxkYP+Rbvc4TInI0d88R3qPPp69xez1K5Pc7dq9S2a9PV1WaJqDdWtdE91WwaC4TCgdZnWaj00bN8nr48dKdd06POL4MQKhFGiPMsojeclbvFimTJ4knbt1l569e0uUL0uZgKpx71Zc350+Qz5YukSGjhotTFz3aP7KDFfNyLbNm+XNCeOlxqG1ZNDQIUqA1tYJTdnUG3BjQvrR0qXy9uTJ0kU1Ibt066bkTtmlpwkq0bpLpk9+S8tzkQw/4URpqVuTyjLNdZ8sl+fvv08Wz3pXyUAlIXQCWa9evUAU6iEIOTHhpu/B1tavf/1r2aBbzFrUbyQ/GvM1Gdqhh+z+nL4g2VqLwY1qyqxuUmJnvNbXSKMfM+p4JZTqpfoe2mbCjlqpVKTkfZgn4ye+Jt26dpe+ffqpn9JMZVRlQ7TaHma//47MX7RAhgwYKq2PbB3MmpQFaU56vCq2btsir09+Q9v+Hhk9fLTUOrTsCFDSrKbltWz5x/LGmxOlU8fO0rNHrzLD1KoFeZsxa7rMmz9PRg4bqeRX2/z3VvJ1J6Sp0e7Y+alMeGOCfPbpZ3L8qDFaX+tqf5B85aF9kIuJC96VO19+SlZv3pBefIHkg+yD9IPMqgwEqJGa9FN33XWX3HHHHWGLrrUhJ0CtVRT9SV3BzZgxI5hPwPYnGsVgy5ZiJ0CLxs7vOAKOgCPgCDgCjkD5RcAJ0PJbNlklY/Bp5CfGta+77jpZrppt9VWbZfQ535R+anS7WjW0PyGbskaxT57Eh+ZTFb1eHztOlutW+2GjRgYj77t3f55oWiZgSFM1WdesXCHjXn5Fah5yiJxwyslSS7WTymK2HDCDDdD/89+fI1PVIH03JT579+mj+SsbtTbKEnuQ2G2dqqTgx0p+Dhk9Rlod1UqJu7LCNQr2mdavXydj//Nf1TatI8PVSD+G0SE/k6w3lGXAVTFFg3bh/AUyfdIk6dKjpxzbK7UV3Mo7yU9IhqrVq6Zwff0NyVu0SAarkf92Rx9dRnkkveqyXEnzf9/3R1k0c2awb1qzbl3ZqSYqDlNsOQipIhOgTIghEDD+z0Eit//mVtm4aYu0athYLjvh63Jitz6yWws7afKTts6hDWvXrJVXxr0UNGiPH3mCHH744UpgpWRKtO6QB80nGopz5s2RSVMnSLfOPaTfcQOCxnSSaVlcoR/Q9MjPtJlTZMHiBTJi0Chpo9r8e1TDNXlMNWXNJ7hu2LRBxo5/RapE1eTEMV/SRZBD89tIgi+QkFwKVwi4xUsXyoTXx0v3Lt2lz3H9Q59rWCT5mepfq2h+RLXY3pB5C96XkSOOlw7HdJDdZVB3kJ00a2hft2XrNnlNcf10x3Y5ecwpUrduvcRxJS20TCmpF9+dKne9/KSs2LReqqsWeu3qNWXr7h1ah5QAfeEF6dKli6af+wSo9VPY47v77rvkd7+9QzZv2SYt6laV3YrU2m2Ra4AW08ioU1y4yTomuex//1dm6PusurbbxnqwzxrVaK7XoH7YAu8aoMUA6bccAUfAEXAEHAFHoFwi4ARouSyW7ELZ5AWbn5Cfv/3tb2W+Gt6uo9uRRnzjG9JXtdtq5W+xS5LEYigMGcB2+zw1qr1w7jzp2bePHNmmrU6akTU1WM4u9b75Mv6urpPItWvXqIbiBI2kigxSG4qNmuh20D1lRNLlTyTnz5sr09Xe1dEdOkrvvn3lECVebUKwb7nJ/hRaiJDKbHufoYcLLFMTBr379ZO27Y7Of6CMcFVSeZ1uPZ2qRGRVJcv7DR6sZJKd1JlsmpRjFcVV/8uiefPlHd1C105P+oT8rFH9ixM4syO0b76UVTUldnbp1tppqvm57IM8OW7AQDm6fYfEcU3ViypSvWaK/Hz5sUdl7pSpQcO0uRIODY48ShaOGyu1VJ5b1UbvJXrqJs+YJtK+5fDAP2WkArb0Hnn44WDzk8NVWjZoIt8bcZqcoORnTT0AKZR3ouKlFgjWqn3RCRNeC9gNHTpcmjVRrfNA1pcNSVddyXNOpX1r2ptBU3Bg/8FSU+srOlHJpiiBlKKv271rj8x8921ZtGShkoL9pH1bPRE36cSsbLSgSHODktlvTnldSdbdMqjvUGmsZPbuMiBcrc5X1/5ukWpiQ/IedWQb6durf2g7ZfAKCXWF9HaquZZp06dougulX5/+0lH79apV1JyJYZHgZ6TY0Q426+m7b0yeGN6ZQwYOC+ZFUotLyRUoabHNHTd2zgz5/dhnJW/NJ6HKjDyiQ9gt8fLH86Rtmzbyb9UArQwEaLyfuvfee+X399wtK1etlka1Ra4bc4S8vnSLPP3eVidAi6jzqfdZqk/iwKOf/exnMn369GAG6NQjmkn7enXl7gVLdMx5uPyZQ5B8C3wRSLq3I+AIOAKOgCPgCJRXBJwALa8lkyGXDUwhIZ955hm5Ube9L1Uysm7DRjL4q1+VQXoa5yF6+mDSGnxMEplkke5MJa8WKSkwbPQo1aQ7JrWNGMYjYUeU1dH8VPubkyA/lc0dOnKENFIblUHjqwzSC1o0Ojedp5qfM6dNkzbtj5G+SppVD9q0ZUG4psjPnar5OUPT+1A1FPsMHCTt2rcPE1gr74SzGrQwORVz8oSJmk4kg0eMkMPrN8jXpEs2tUB6aN3hpPclCxcGkre1amD2UpK37HBFU1lt1CqpDIm9dOEC6a3l2EnJSFySuFpc1ZTwWJmXJ/9Vm2hzp7ylBP0eaaynbPY+6yzZvn6DvPXQn6SWhqmoBKiRCluU1HnsscfkNiVysY3LtveLR50up/QYqJvCVctO61OSmorgiybd6jVr5PVJE7RMd8qo4WOkSeMm2vckT0WG+qp1BI3s+fPnylsz3pI2R7WRAX0H64mph5SRtmmKxILMnTnrbVmo5OdxPftKJyXpyGLyvWtoBEHzc/3GDbrtfbzs2blHhg0dEWyNpg7sSo6kszbHAkh1bQOLly6SKdpGjmxxlAzQ/o4FoKSJQUsT8pN+4O3pU1WTd7b07zNQuqk5E1h6amrSDkKyhi50bN2+TSbqtvdtalZg6JARckTT5kETPbWLIJlUSQtN2uq6M+Hl996W+8Y/K4tXfxIqzKBmbeUHXYbJhBVL5MEFk6StLlT++/l/5zwBGu+n0FC/7bZb9QTojdJYyc8fDmki3+nTXG4dt0z+NGWjmrPoGkhhtwH6RX2k/wNDHOTnNWqz+k3VAKVPGNaogdzUs5ss3LRZLnh7VrD7/pifAv8FeP7NEXAEHAFHwBFwBCoMAk6AVoCiChNzJZGwZ4Xm581qdy9PCZd6Sn4OU5JlgG4Lr1EDLcVkt4My+WaCunPHDpmuA+JPli2TDl27SbfuPfJRS356niI/VfNTSY+JY8cG+4kjxpyg5Gcj1UJQ24LMpBN0pJciP6vIgrlzVWNwsrTt2EEGDBociN+kCWVEJ81A0unhSpDKSxYtloFqf7Otan6mtvQmmMFYVGxB37BufdCoRQNxUCA/6wfCLmmNRPJInNVrVAu4zlStyKM7dZLjlPzkXqpOx4RL4GvAVTX3duzYGWyMLlXSdeDw4XKMlufnut0VdToVKTGn2QiapqtUw/SFP/1J5iuRjZ3Bptg0/PrXpXGbNvLBtKkyVSeKFZUANVIBjTYmvGzjp222atRULh55mpxy7AAlI4E2efKzpmrVcrL8WNWg3f35TrX5eVI4SAZSK/n6mlrkgFRauGihEljj5BjdJj1k4NBAFqZwSGnbJVWBaANGAM5Q8nPB4nnSr7eS9e075RNmCVZWE1rTDNveA/n5umpHfiajho6WBg0b5pvcSDZNe3ehbbpkyRKZNGWitGtztJKRMfIz8T5d86jvLUyzvDVtsixYOE8G9B8kXTt1CVrDQJF8/VHyUxfttuhW64lvjpOtW7YqWX98IOsxb8I7hv4nCRfqDfFpu5uw4B25479PyrL1q0Psg5q2k4s7D5E2dRvLIwsmyyOLpkjbNrlPgELS0XZZpLnvvvvkN7pIs1Hthjc+rKr8aGhj+Z8Bak97ZyQ3v/aRPDxtkxOgGRWROmUXp73/7IorwrZ3bH6O0LHX9d06Snvd9v7sBx/JD2a+F2yA+inwGSD6T0fAEXAEHAFHwBGoEAg4AVrOi4lBKS6t+XnjjWEiWVcnrEPOOEMGnf6VYBuTU4OTJAdJlsk5Jx9PnzpVln34kfQbNFCOUc22HWoDKukJJHkkTSbKa1avkslqf5OJ40g98KhhQ9VQxB5m4hNlnZJqnExL5+vBGByUc3SH9tJXNZM4bAnSLPk0U9uzmVig+fmBan72HTQokHS7du4qI1xTpMc6tfn51sTXNV+7VYv3eDlcJzScipx0WVKOxMmkf/6c92WOHgbUqk3roOGKNmjZkMrgqrZUd+6UGVpfF82bJ30U187djg15hC1IMp+BhFBtL2x+vvL440Hzk8OOGqvmXi/Iz3Z6wIpuvV2mttOmPvpIhSRA0+SnHpT1l7/+VX59882yGs3PBk3louGnyOm9h4RJM203SWzpCCDp1q1bKxMnTwgnN48aNlqa6qnvO7V8ITqSIpOQnbIM9VXr5gI9eGjKdN32rtuzB/cfFvqjPcFuIr0EVzIu1B/VVGbBY+a7M9Q25Ry1MTpQuih5niJ4SSe59IiNBTK2Z6/Xbe+TJk/Uha2dMkJJukbav+7SxZhUGSaXZsBV81BNFyWWfrBU7QlOkpYtjlStyKGhDMtK85MdC8Q97e0pMmf++4prf+mhNod35vevidbVfFypr1vV5uebU96QdevXyhi1UdtE7XLv1j4g9Q5JBlfT/CS2cfNmyj2vPC1L164Mp78Panq0XNxlsLSq0zBoDv9l0TR5ZKEu6OU4AWr9FOTnn3QhikWadbrQ17hOFblkYGO5cPARUrtmVdn66R65CQJ0qhOg9AfmaKd2TdMxydVXXSWT9NR3djIMbdxQru3aUbrWr6fBq8qzyz6WS2bMdgLUwCsHn5QdLlu/Fvpgfa/lksvFPOVS+XheHAFHwBGoCAg4AVqOS8kGNtt1+/k///lPuf3222WB2vysqxPWYV/7ejjw6JBaur+LCXyC5CDpVlXy8zMlOmephuIny9Q25cCB0qatkjpKRKa0WZIFjiEcpOMa1S6bPHGiTuAiGTJypE7OVfNTyUJO007SMWYMmOnngnlzAsnb9pj20k/ziRzhfsLjRnANGrU6EZ81Y7p8qFq8vfr1V00z0/xMOEEFjHxgTmCd4jpNJzXgjC3VemrDKxC8CQ+ODVeq4yI98OjtyW9KRz3pvXuv3pp3DudKadolW5ZGfu6St1V75aO8pdK7/wDp0KljGW1bVkyx+amau/955GFZoG2ESTg2P7uddro0QZNXCaWqSsh+pCfoVkQC1EgF7A0/9NBDKZufevBZq4ZNg83Pk47tGw5aoT5lm3jte/lSllVl/To9mGfcK7JHN9aPVvITMgliEAJdE9z36DOeDH2dxke7nLdgvkx5e3LY9j54wNBAqH9B1iebJhrg2Px8Z/YM3fY+X7e991fNz46BuEvxnsmlF7Ks7Y7FpY26hRUtTAhPTphv3KhxWGgqK1KZvnTRErX5OWOqHNWqtfTvy0FSVfP7gWTzCDkYbH7uVJufmt7CRfPDtvfOqvmZMplA1Un6PZLa9r5FbeO+OfUN2bp5mwwbPEyaNNX6quRnspqfai4B+RU2yM/fv/qsLF2zXH9WkcGq+XlBp0HSum5D2antBJvDf148TR5WLdC2bXJXA9T6KWwT33///XLn7+5Qm59r1eZnlZTmZ7/mUqdmtdAEtqmph5te/UgecgI03QvS/+HAkQOPfn7llTJd31ks0I5sguZnZ+lQ77CwE6eKtuVnP3ICNA1eOfhC+VkbSPXhKaHMn1+YdMkFRz7JF+ONeF6TyJthmOxYJgnJPA5HwBFwBByBskDACdCyQDWBOG1giubnv/71r2DzM2/p0kB+DlXyc8CXvyw19UROxq8J8gFhgMGA6bPPPg0aih9/tEwGDhkiR+pJsuHQEc1bkumloNIBjU7O1+bb/Kyq6Q/WrcuNGin5qVoISQ9KwIyJKfmYO2dusPnZrv0x0k9tRZI2J4gnnUfKE1yZnM6YMlk+VM3Bfopr22PUlmoZaLcarhB16/X07DcnTlDyqKoMGq42Pxvo6dkqR1ngCqnM4HSJEvUz1WxC5x7dpX3nzqp5VjM9UE+geaSjoKwgzDhIapqSrWx776uHOnXo1DlxDd5Um2Rbf3X5RNvif5X8nKfappHW0UaqOdz7rLOlUes2QcOWCgS+FZEAtckApMLjqt36azW5geZn83oN5Xu67f20XoMU/xR5lWQdAt+aiu3qNatl4iQl6XbvlJHDjpemTZrETEOk0k1XgP34Qnr0A7SLeQvU5uf0yXJ062PU5udAqVFTDzwK/UBy6SFqIOmUnOIE8pnvTNNt73owj2oodjymo/rpQk/oeJJPM6X5uV4mqG3Kz7WtDB82Sho2iNv+TS7NgKtGl7L5uUTtCb4pRyr5OXDAoIB32eCq/YCWJbii+Tl3/hwZ0G+gdO1ybOh3FHnFtgzIT9Wo3bZtu4x/fazu0tiu5Kce0KWayuxeSLIsU5imiPpX35sufxyHzU8lP/VdNrjZMfLdTgPlKCU/d1NnaUf6rsl1AjTeTz3wwP1q8/O2oPkJ+fnDwY3l/IFHSJ0aWuZhjFRFtuzY7QRorL+kToEhLm7zk8MZhzesL9d26ySddaFUA2lvz6CpmjzjBGgMQf9a0RGwNpArJHFFLw+X3xFwBByBA4WAE6AHCulSpMNLGRfITz3w6GY98GjxkiUpm59f+1ogP2vUVJufDEx10peUI9WUhuJOmTl1mp6e/UGKpDu6nW6XVI22BNMymckqdiLXKkn3+muvBqJj5EknKfmJTbqyIelS5GcVWajb3qeoVmQ73dY/YKDa/FQtsC80vkzC/f8kjymbn7vlHT1RdYnaGOyn27OP1gOP0KhNTc6TK0eTmG2ZHHj05vjxQfMTjdr6ZbjtPZBJiiEHZb2jxGBbPXW9t2q44qjTiZPKGi8D1x2ffRZsfuaB69ChKfJTiYCkcbX2sfLDD+XFBx+U+UHzM9/m55lfk0Zt28nnqlmnjZIsh/xWNALUSIXNuu398T8/LrfccousXr1ajmzcVC4cdoqc1nNwOOzISIWQ0UT+6IFHSn6uWbtWxo8fF2xTnnTCyaoBjoZi2WzPpr5W00n9goXzZfwbY6W9kpBDBw6LaX4m2yZpA2F7tn6y7X3+ornSVzU/O3fsEsheSOUkCeVUsXCQVPVgD3Hi5LG6sKU2P4epTWU1oQJZmGqTyeUz1c5TRF1eXp5M1i3hR+miwIC+MZufCXcEpBlsfmp+pir5yQFWA/qrOYEuXcM7hEzyL0lHmhzQtUU1pF+fPEE2b9goo0aOCWQ9izFJk5+Qu+RgwoJ35fb/YPNzZfg9sGlb+b4eeNSyjpoxUPvDHEbG7okaWq8fz2ENUOunwrZ37Ytv/c0tSn7qgUd1qsqlQxrJeUp+1lbys4q+XikLsNvsBGi6CVB/ceCIzc+f//zn8ra+z8zm53XHdpJOeuI7K+zoD4a3qS5sOgEaYDvof6z8li1bpv3d/GCSoEePHkEpAuGwnf3ee+/pO7WGmv/oIYcdplq8WpbJv1/KHgqTe8WKFTJnzhypXbu29O7dWw8mPHS/E7e4UbTg3VinTp39jtMjcAQcAUfAESj/CDgBWs7KyAY2webns8/KDWrzk9Pe69SvL0PP+Jqe9q6an4fU0i19TLJS2g1JZIE5KQQg296xTfnxRymbn23bHZ0iIMIUItlJJGmicbkWm5+vvx7Iz2GjVDMpnPau+QsZSzhNHcQzqF+o297ffksPiFASEjISIi0QygiVn3JyuKL5uUttU3La+0LpoxqKx6itSOyrfjExTy6fqbKspuTnunDgEaTu8ONHS73DsfmZrGaSYWT1Z6luC2fb+1Fab/qoOQFcKo9MoZLNI1rD2ITEdutitfmJRm2nbl2DNmggP0N6yaTJxKGaEnQrVPPzJT0MiNPeqS+NVHO49zfO1m3v7WS3LhJoo+Q/VSx8ViQC1EgFND8f09PeA/kZbH42louGfVm+jOan5guCJcmJlBHnm5REenX8K2FSPmyInZ4N+albpkNNSu6PbaFbqDY/35o+SY5q2VoPPMLmJ5qf+X1rcsmFmFIH8+yRmbOnB43TPr0G6ME8nfPrqwah4iToWK9KHXi0Xt6Y/EZYKBipJF3D+kqWYQ+TvjBhF9qJvkeWfqAHHk16PWh+DhmMzc9U/5p0HhE/RX7qae9Kfr4/730lWwdI92PV5id9Xeh2ksWVYsLe8NbNWxXXibJx8wY5fsSJ0hhNZd32nlQekRrxIc1x4+bOkHvHPieLddt7Ne3bBnLgURfdnaHk58588pNwuU6AxvupB3TbO6aB1qxdl7L5OUhtfg46Qm0uK/mp4GEyw0rfCVBqh9YPfTnZOHPWrFly+U9/Gk57/1zby2A97f161fzsogul2hEG8hP8wjKt1kMnQAOEB/0PhB2Oun/PPfcEkvPpp59Ok4J/VZvdkNpHHHGEPP/889KiRYvwXrX33kHPQCkEsF1gv/vd74Srgyos/Pvf/5Z69eqFery/Y5EPVNHjhRdekBEjRkg3NddE/1IRcSoFpB7UEXAEHIFKj4AToOWoCtigFPKTwQxbuhbolt7GzZvL4K9+VQacfIocUqd2+gUNyZKMS0X06fZPZfbMGbJ82cdynJJXbZXUYfABQZFcWimJ2QoKscGJ0lP0wCPcUNVQbNiocWwraCpsEn9T2OqWL83PogULw7b3QH4OGKAaqGabMtl8BqJIp187lVR+9513ZNlHH0iv4/roQUsdAq4pvsOmZ0nkkslNCtf1qkk3XUk6yM/BI4ZLfSU9dpdBWRqubEXPW7xI3lX7YW3aHSM9+h6npHL1ZDKVEQt5VJZBtZJ3yMy3lazXAWxvNV/QoSPbiE37KuOh/fgJ0akzaVmuCxEvP/ZnmaMEL4PkZrq1/9jTUzY/qVdofhqHVdEI0DipAPnJROPj5R9Lu6Yt5cIRp8pJx/ZTrTJsN8LvJFdnA7YaHxorb7w+USKtMthQbNqkWX4bSS4tqoDVV74v1L6V7dKt2+qBR2oPM2WjlvaTfJrEiRb9e/PelfmL50ufHn2lc4dO+aeSJ0sok7ewmKN1duPGzYHg3bnzMxk6YJTaUm2ihKtp1BIyGRfeD6FdiuR9kCecas+BRwP6qM1P1UANbZb2kSCVTVlSVCzazZw1QxZpefbvN0A6qc3PVHpfkF/J5NJw1dPGdZFgip4wv1UP3hk6ZLg0b3ZEakErwboT6qq2t0jJzdfmTtcDj/4leXrgEbWTA4++21HtctdrJLtU8zXYxs3PZC4ToKnxiB5opPg/8MADcocSQKt19wjb3i8d0ljO6/+Fzc84+Qk0ToBa/5fS/MTm57XXXCNvqakas/nJtve45qf1hE6A5jeucvJB38A7+6yzzgrk3amnnipPPfVU/ni9qlx22WVy7733ylDdEfPqq68GTVBET/rddiDgIJ/k91vf+lYwB3aS7hB7VpVDLC/2WRpZUu+OKvKOjst/+ctfBi1oFgMgiu1eaeLzsI6AI+AIOAIVCwEnQMtJedlLd/v27eElf7OeuLxY7UTW1O0eA77yFRlwyilql063vecTXBBA+++YKukWJyWqOLTl/dmzJW/RIj2Yp5+SArqdV23SpZJJSlMoRbTyl8MxNm/eFLYub1cbaoPU5mfQ/FQ5UppJSeQPhFJpMhXmYCcOHpqhxGDzVq3CgUdBuyxMpEkvuTQDrlX0JHktrzmK66J5c6Vn337S7phjlPRAuzXJ9PLzqfmAzN2mpxFP1a39O3VLT389cZlt77sgP8PkPLk8amUMg1A0I5fptvAZqonZvGVLJSP7h8M6sCUGvsm5/PpaVQkVxXC2DlgXvj9buiuunTqr5ufnWl/VaUknkGSsrmr+1i//RMY/8YTMnTolaNE27dhJep31dWnYuo3aVKSdfEF+krhmXfMuFcIGaJz8fOSRR8LCy6qVK+XwQ+rIxbrt/Us9+qdaRshTMvUnlKTGV0M1LjdpPzDl7bdkg56ePUpPz8b2rx3QlUxqqepAmtRHtr1/tPyjsD27WdPmYXt2TbX5yYnspm2XQAUKUejULaRHPuao1jmnkqOd2Km9kp+h3lBfk8wl2lpsz8Y25bZA0m3eqiTdoGHhQDlsU2YSQ/ub19BSNAs1qteUT1YsDyehN2uiuKoNTvDcoxPYOEG3v+nxPGnSvmjrs99/V2a9N1OOU1L52K7Hal+nmp/hfsK4aqNmSyla59TXNetW6UFSavNTyXoz05BUipQhtmmpq2/mzZUHJ7ygNj8/DlqNQ9Tm5/mB/MTmpxL2GfWHep6LW+CN/GTbO+Tn7dj8VBMvjWpXVZufjYLNz7DtPb+fyiyLyk6AMsa0vp7T3tEQZPs7769hetr71Zz2nq/5mbl06QQovU7ZOSubzBQg9zK1EW2usGHDBunTp498pLu1rr32WrnuuusCAUoc9913X7DrOkp3VJ133nmB1LN4sqUVT8cIR8IbuRh/xuxlWri4zHYv7lfS7/E07BmTizbfT+clLFpeccUVYXcK6Vt62Z4lDnve4uOTsBD+7I648MIL5Qkd13Xv3j0cApYtfDyf3Od5XByf4OF/HAFHwBFwBCoMAk6AloOishdq2PauNj/DtvelS6V6rVrSWLXa2irBkz6UQwclRurtl+ipd3h4iZP+Jp1IbFCtwbo6AG7S/Ag9oTimJZQ5k9jXhEOaSgjowANybt3qNbJtyyZp2rKV1GV7dvoQkH1NIOO5/DyGg3l0Mrld7RquVmIHgrVlm9ZhcsnknEFNxhwyI6JS/IzhCgu2WQepnMBeW+1pNTuCbUh78FYZkgJVZctPE1x36eR8gx4is1Xz2kRXsw/TbUJh27tOpNMBS5GdrEFDevlkkqa5XQksyhLCE1xTpLJOmRTzZNPUQaeS2Gi3bdb6Cq516taTpmHVHi2B1IA3kbIkLpUe7bUdGzfKh6ppukJtbZHHxtg2Vc2LRm3apLe8UoXiLiVL+SdAGdxT/7H5yba5m9TeMDY/66uZjYENWsvgozqkqld+hjKyGc9yqb5D0lSvpmTSrp2yeu0q2bx1k7Ro2krqaXnuwbxH+FeqKIsNTB+XmrCo9tj2rbJq9YpQlq1btgmkVmrbe1K5S4kSCFcmkUrSbd6yUfO5WmofUltatWiVJuupZUmmmsJV+1fdir1uwxo99X19wPVw7V/LQvMzNDrNI0Tntk+36VbkVYFIPrKF9q+6TTxoomY2jmJLau83ySNb6pn8rl+/RlYprnVq15GWRxz5Rf+qaSaOqy687NJFlvUb1sn6jeukeaMjVLNecU0vLu1d9pKEoI8BTwjQxdvXyQt5s2WN1h/qSv8mbeRH3YZLi9r1C2x7j8cLPrlGgFo/BRHyIDY/f32LlsGmsO39B0p+XqDb3mvrYXh0VkUR/JWZALUxJji+qYujV111VdrmJ6e9X6fkZ8fD6yl+2i/HK1P+dydAs4CSkBdlguP9RDmF8aj+tu9G/Ju/tQW0FwfqTi1+s4X7xBNPTBPctBMWamrpHCJu1zKeVkg0lg73kKEkDpnof01GnuE7V0njiKdTlFz4k84CPVQTkhLi8sknn5Sv6VkIJoM9Cz6GkcnD70z87B6ygt8M3bWExuwdd9wRFynkxdKP59Oe59PuF3jQfzgCjoAj4AiUewScAD3IRcSLFRcOPNLT3rG7t1C1MOvqCb29dKtHy27Hhm2SQfOTwUkq+P5JrYMC4mNgsWPHZzLn3XcDGditZ0+prifL7w724XT6mERaBSTViZ1q0HCi9ALVikRbsEPX1EEVaQIiqTQ1j5pJGDH+y+IF82WFbpXuplvQmxzRPGxHJYNhwJRomjqIRKNWt5nO1gFqpKRu9+P6So1DwFVtfgZSsAAo+/eDbOr2czQ/OfBo3qx3pHmLlnJMly4qw56w5T+QrQnnEXITMjJPbX5+8uEH0rVXL2mk22t3at1J4UpdTShRq6/5BO/7M6crlrull5ovqHHIIYGsp67GB7/7Byo5ANMasnzxYpn23LPyqZKC5KeRmi/ofdY39MCjtnrgUcreH/Ur0+VXvXKtAcrgHczYTvqo2jW97Te3y8qVn0jzBo3k7J7DpGfDloGghHiBVEioNBUqJWi0jazVbe+z5syUFs1bSuf2XQIhiXY0awPaMjMhLfVviwG5iZO2t2jJQln2yYfSvXNP3bbcQnbs3BHksbqzv3n8Ik00+KqFRZ335sySz3Z9Ksd17y+19OCGHdoPqDCJ1lcKhzrLae8blRh6d+5Mada4mW6zV81onaym+9eQ21JDWeQD5Jf3CNvely5bJD269FKNyOayQ4lt2ktZ4IpWJAcNLVg4VzYpMdi7Rx8lQA8LZZlaWLJSKFLsEt8gJt6VaLdCKsx8b4Y01Hdz9y49Fdfd+bimSIMk6g7kJwQCMY6b9448u3iGbNmzS2poXRrQpK2e9j5I2tZrKDsgXYtoI7lGgMb7qaD5GWx+su29qkB+fndAc6lVU62iagEURX5S4JWVALUxJp8zZ86Un/zkJzJVDymkrx1w+OFyw7GdVfNTT3vX+9nIT7BzAhQUknfUbSM+0ejctGlTIC7x45Cfpk2byiE6xokTcBB69KuPP/64nH/++eGAI7Zvt1OTVcS3S5UX1qoyA2Ea6mF3dlhQPC3SIQxxEf+RRx6ZJjRZDGU+crjWDQhUHMQj4enrWfRBEx6Z0D7l8CDSwrxKA+0bLZ2SomVEJvGtVAUF+lm+kw75x/3jH/+Qc845J6TL4U7YASUMlxGuyAeGlj6yN2vWLGh6Ih9h+SQ90uCQvlN0Zx1p0q+cccYZ6fzF4+Y7BzCBCTiQd0hl4saZ/OGH/3EEHAFHwBGoEAg4AXoQi4kXKy5Nft56a9jiAfk5RA88Gqgv51p6eiOOF3dSjnTRFuT07HemTQ2DmD5qQ7FNu7YxjZ3k0jO50Qhap/a63pgwgfm6DB6e2pZpAxYLl8wngx2mkZHMmzsv2Ips3bad9NFtNGx3hdQBU2DNL4b9TjbgqgNEDhiZNWN6OLyqZ98+0r59+9TgiwlrguWIwGGyqwOytavX6rb3SYFEGpi/7R15ks4jKYY4/z977wGY11Fmfz8ustyLmrstyb13q8uynZAG6SGhLEtIgdB2/+yylKVDsiQBQl1YShLIssu3EEqANOKuYtmS5SZbXS5yk3uJ4+7v/Obq2sKxFdsaJTbcSaRXft/73pl5ptyZM+c5jxboNRWVtkIbqaHDR9ikqZO1MOzkbOg7z7C/wmgolV7ZRrGjJ8+YYSNGj2pqPH9gUmAzgpx0sm31tfb8T35qa2RX3o/p0cMmapE8Zs4cO/aaFv0CYi7UnPQpPrtSgyAx5mgnNgLPPPOMwM9HbYvc/AfFJUrz8ya7aUKGDkM6OojFtWerR0fYVJp7xPzcpXlg4aJXxIQ8aXk5gTals72QSl8zj5tddTigHZLb2FRWrneuywQ8Sk/L1DzQtN2XHXzm6fprE0i3cm2ZgLpymzJhho2WbALjleTLptyLvsZ9CeC0f/8+F5iHg4is9GxLTEh0G0KAQZ91JFPuyGFPncbJspKl0vwcZDOmpenggBA9rpJe83R21fxK3Up1CLJqVallpOe4aO/oVLsaKmNv9WyyK/MasiKLCxeJWX/QsjOztTGXRq36LptvH/nRK2DLwmzlngQ8+s7Lz1rV9gbXwKnd4u3z026wYT0T7Kjy1VVY+LzJPRN0n7+FKPDhPHVIcg4EPAo1P7vEtLNrR3a2J24ZZr27ojHbMviJof4eAVDGTPiTn59vX/ziF53bO1IY/dSvvzt1ouX0S3B9DB+RC/XlCAA971Br1Zu0CwmPC1i5aHWuVzBHQLxOIiL0k/Z/pgJ0onk5RQfM4fWMCRKu4N/+9rdt2rRpNn/+/DNMzz//+c9ORosASMgcECwoBOnYayxYsMBefPFFKykpcc9/gLwbbrjBaWwCYn5VgVc3iCzwkY98xGZonUW+69atc7rgCQpQCkmjVnroBCJ64YUXXPkBPikjLuXjRGq42BSOb8DLV155xWl7cm/Ky33e+9732tve9jb793//d3tUa5Qx0l1HtoE68V3myp3yBOK7/Kxdu9btp0JQF4Yn3580adKZ6zkEAPDcunWrKz95zZ0714YMGeKuveeee1z+3LtCXj/Ydt68ee56ZGUAhocPH27XXnut5eXl2UAROaIUWSCyQGSByAJXlwUiAPQtaq9wMcOC5DcKeITmZ72Ane5xfSz3jrssXaLmnTj5ZbHTBOS1vqha3moxA3MP5mfpsuW2VSe4MxWVfEiKtAylgRcsgYOFWevzC+5AXQE/G7fvsAIFOmGTlzM7T6fT8W6hEQKVPvMDYKCe69eWK/p6saWMHGHpWgwF0YhVvwut9C+rEGcZtcd0+l5avNQ21dbZDAnQpwh0hUHUVnaF+blXzM/ChdhVkYFzc62XTv2JRtxmdlVbAn6WSUsV8HNaWppbiMJE9WtX110FXrWXxt4JK1awrA1aHM/IzrKRo8cEGwLXVf31V9dXBSgT7f2Fp560quXL3al/nNqxsxb/Q6S5NUygNhHfW5IxYG9zpQKg4aYD5meo+Qkru2/vOPvInFvt7ZMymCYcqBYMEx+DJdiIx6i/NmrDsiR/sQsaM2fWXEsUywNGH2PWZ6ItuWcHjYvK6kqnTZmSPMwyZmY61guan0GW/vJ1/Uf99eSJUy4QUE1dtU2fOtNGDVfgM8aHS7z6yrPJrjrQ2ivwc9GSBa6/5uXMdpqfJ1wdfeUVFj/o3DGaB6pra6youNCShyQLVJbmpwDKcIPur47MAwDn2PWEgrYUWWXNOpswfrJNmzxd83zgitlUOk8vsqvai/4K+LaoYJFA0AMK0DXH+vbrK9Y586sfu3IX5/bO/fQD8/MHr/xOAY+2unqP7pFkqd162UcmXmuxauc3mmZV8r8JF/hwnuKQ5idye3/00f+Q5uc+69+jveWkdrH+PTvZv80ZYrExAoPVP94Iiv57A0AZM+FYBOz613/9V0P7E/3sqTrMS+rYxT45briNjutBB2wBUo8YoJ4mlTO3oW1IgHBf+tKXHJjIXgDQEvAOUA5gD8bhoEGDnHs2QF44JjgMJvAR4Ny73vUuxwblO8xJHxAr9LfyJkvTuuz5558/w4CE2fkjHSJ85zvfcfrQAHewQ2GD8vOOd7zDAZi8ku/LL79s6fKyIU8AQwBXdDgBSHEZB6iEocmc39DQ4OYqwNjfScYL9ibfA0S8UAptsGXLFnvkkUfsN7/5jSsXQCT3xDaU7+c//7nLnzoBTiLVEzwPOjgbAeqH3w3rBAt2h9Y0pOTkZHtcrHFATr6Ht8vnFPwLMJO5hbwIfkR50VEFxOU6gNZPfepTDvylHmFdidMAIxQWKCDoN7/5TQdWX6ie0fuRBSILRBaILHDlWSACQN+CNgkf/CHz0wU80mKipwBBor1n3XqLToCDRZADsXzss4L1ljaL7QQ8nHCBgDZt2GgzBSYNGzbcsWpaAnQuy0zkqYUE4CfR3hfPn+fcsufecP0Z8JNNstZs2rJ5SO4m/BL4KdCjSm7vywoKLUWntWlZmVroiCniAGUfBm0qb1MdAVtZNK4oWW61ijI/Q2DriNFhoBOP+ZFtk7Gw697du6xw0WL3Vvbs2S7gEa7vDnzwlW2TXemL2LWmSuCnNlJDhw0T+JnuoBzXp2lIX+lMHQXWE+VZTOVqsSNmZmfbSLn3n3ZgPdX0lGdTfrRjow4F/vSTH1sFm0VtKhLE3Bv/jrdbo8ZLtz5xNjIrw44fRc7gwnmzv+HjK40BGm6g2Awh/u80P3c02uCEJPtA1g1267ScoHu5Crhe1OoW5VZ0WtyzcXufv+AvTkvx2jnXWWJ8gsBt+qu/pqQCgED0V8DPCs0DS4oW27CUYZadkevkIk5pw+9a78JN6Mp00b9cnpBNA1e7UrETKyrLBdDNtPGjx7kgZGToKztXrqY8O2oegPm5uGihvfbqa3ZN3nUWF99H81EwD7TQTS+6emfza7Krblq7oc4KivNtiPQ+MzOy5CYul3/s6rOSTXWkHU/qIGm5tHjL15XbTOliT544SRINIXCuCz0l+ivzWSeBnwdfPWRLBH7u2bPX3jb3WjFqA7CeSnqpp6ufwCf1Ve63QODnt178tW3as8MBehlJqXb70Am2cket3Tkyw3pIQ5Yx3FL6WwBAAXMAHQAoAF8elXfMnr37LEFu7/+Sl2gTBnazVyr3OgC0swNA33hs/T0BoPTf8Ido7wA7vHKAcG2SNFNTU+zlzTvtrpQBNjWht1sXtTRs6XGn1R6/29RgD5Wudq7OAEk333zzGwJdLfXVv8fPwnbhGfzxj3/cgZUwGv/xH//R6XgCHuJWDlMRwBL25WTJUy1evNi6KigqCXCU93Df5hkO05N5gT1FnliJuIl/6EMfcgxR1qXkyXXf//73HSD6vve9z2655RaD0UlgoaefftoBnjAmYYgO09oOt3rcyLnv+9//fvvVr37losoD/lFGorKPHz/eAbZokD7xxBMuH1zz77rrLgfiAi6eL4U2oLwAjnwfZuWDDz7oyg8IjEwD92QeoAwbFWgTsBjwkjodPXrUgbKsY/guwG+uCAC4/WM/wP6f/vSnjlVLvWC9AlqinQqz81vf+pbT/8SOMEyZc7K1vgQMXSVZMGzEdYC+MFFhuFIubA+wDDBLPp/5zGdcmc5Xz+i9yAKRBSILRBa4Mi0QAaBvcrvw4Cfx4Oek9GsPP6Jo74HmZ46EvdNvervFapFzqmkD4Kt4ZMvm/JgWDWUS/W4QyDM9baYlp6a6jXJLJ7WXWwbyZHO+s3GHFS2Re7YWMblzZmtzHi8Qlg1OS0vuS8+V/ByIq9eqivUuwnzKiOE2MzPLLfoAzXyDvLQnizwYiivFFtxQW6Mo6Ok2fOSoJpbQpdfjjb4BeBMj9909u3bb0iWLHaicM3eO9ZIbEuBnS8DcG937fJ+HdqWP1GmxXFpUKObncJsyU9HexeZ1+rRe0ICzuTu7qu8gJ1Cik/ha5QtTedTYMbKrgB11HZ/1pI5Es99aW2t/kUv4WtzeNQad5ufd91hvLYpXP/9n6zVgoI3IFAAqULal/J3NVMYrCQBl/FFmmJ9Pa/P6uET/t4p9MaBPgn1o9s2O+RnCCC3V7WwrXexfwRjZvWd34J4t2+XK7b2f3IiJnh3MPf7mAvoOWoCA2ZVVFVa0vMAGy+09J2OWGH3Sj9Q84Hu+C+aBdm4uXblaG6zqCpsxZYaNItq7szu28ldH7kaeMR072v4DuL0vcaz+WTl5lhCX4IIgBfOrvzzJj37RQcFmautqxZApdNpxmXK1h50Z9K8LM34o86WmwK4Bo7a4tEgb0vWWNiPdxo8bL1sH/flS7/lG1zvNT4H1B+X2XrB0scDlvZaXNdeS+ia5w0OfdnX1c6C52cLKMvv+y7+z6p1bpMXYztIFfn5wdJZ10rz7h9oSe7f+7t6pi+tPLdXhagdAm4OfBDwK3d4TurWzhzIE3uUMsMrth+3Pa3fbZ64ZYp3VH9U133B0/b0AoPQpEq8AOYBsgEGsKdN797KHJ4+1hE6d7fHVNfYPwwfapPgIAG1pPPn+jHmShKs6jEbWj4B6gH8AdLQb18BihO340Y9+1AFvy7W+xC2cz2H0ws5kPgbYu+aaa9z7G+S6jrs3LMUf/OAH9sEPftABe7ir33vvve4aADve7y55LZ6DIVvy1ltvdWAr4CLMRtzbyQu2KQAifQlAlOtwR8ftHVd9yoAL+9SpU90rjEwARe5DpPXzpdAGP/vZzxyblOtgaWIP8uCe4R6JslJG0rPylgO4pVyAkHfffberw9d1QAIgC2OU74b2+5//+R/78Ic/7OqKBMSECRPcvbgf9sNlnvGBWz+J+pBw/wc8xdUdgHW0yAy0Ez/kDXsUwBobwcylLaMUWSCyQGSByAJXjwUiAPRNbCsenCQe7LhzsIioUHRDmJ/Z0hZMu/FG6yzwE9c7n0Ad+eImePTIa2LSLbMtgJ9Z2XLPVhRrbSK1YuB/76m9ACwidS+Rmw5srJw5cxz46aKSe84Q054BP9evsxLc3nWKDROTYDbOpp7rSJ5shtmwlYiZtEkBc2BEpsrdHjkBFmK+E23pAh6JSVesBR3/zsydZT21sWmLPEO7UpUa9dWy4mWWIk3TSdOnKYq3GLW6wHc9uadzexdTebnAz40ClafIrqPE/GQTR/KVJ3mxdQb83F5fby88+aStl4TBSQU4SRw52ibecrMlCcw+dvhVK39lngNCh6tPHdfJf0tlcHaTza4UAJQNAeWFUQVD4/HHHnMuZoP6JNl9uTfajQrQQ2AiZw2P/Rb7AtLh9r5w0Tw71e6kzcm9xhLE/AyAQf+AmQM/BYoQObaweInmuVTLnJF9lvnphqW/sQlgxkEAmpBlq0oc+DldzM8xI8c6jdPAnP7yo/87kE523SfXxSVFC3RQcEIAr9zeE+IcCOsTpAvyC0BlDrRwey8uLRTzM1lgpGRFBH4G8wBX+qsnfbaj2pEDj+KSYlsvDde06TNt3NjxLj+Xm54rPlMAfgZu70vycXs/JFZQrsD6fu6QKxjzfupIXjA/O8p+L60psR/M+53V7dzqLJiVNMzuG5Vpw3olWP3+nfbShpX2rr8DALT5PAXz85s6pNkpcCWuSzv7eHaCvT9NAY+k+bli40F7Yd1u+/TcCABt3v8Zh+EPupJf+cpXbImkYwCj5ibG26fGjrTxYu/tOPyafXttnb03AkCbm+9N+TtsH9zXAfTQ3USeABZomMJrcENHnxNgDgCUSOiMEcDNf/qnf3JMTNieuH7zPoAcLuwE6gHwQ8OTZz4AKdHOuReAHkxGwM8QAOV62Ja4fJN4xS2dclRXV1uWDp93a80JAPvSSy+5AECAiCEoiLs6DEkCcVI22KcXAkDDMQ5ompOT4xioMCx/+MMfOsC0+eEkrvmzZs1yLE7sAwg7dOhQVy40UyGRoGGK/QB0w0S5STBLYSkDqjIeKCP5w6qF7YltYDIDnsIo5ToAX+oAOIrMAN+nTMz94ZqP+8NcRUIIsBgQOvwsLEP0GlkgskBkgcgCV64FIgD0TWobHpg8IOckxqQAAEAASURBVDmZ/f0f/qCF6ZcVJEeanzpFzbnjTsvQQ5ZFDi7a7fSw9ZVYB+D2fkwuuyUCP7fKjWSGhNVhfp7VwPOV29n7nHV7X6AN3Wlpfs62BC302Mz6BHfJ0dVRQCR2qyiX5qc04pIF0qWJ+cnCpW3Az8C1/7gWSyuWK+BRtdzetUgcPnyEs6tK1SYLIk7K90kkH1CZlCW79nbMT3+adO7G+oVd6bOAEFXS/FwhMDJZ4O60mQHzgA2870UfeXZQf0WmYbkYZjWSE0hD8xPw84RzxPOWJ3mBNhAQDPDzpaefsrVyEwRkTSDau5if8UOGun+fUFTrci24YYJebQBouOGAtcBi/+tiOzTK7b2v3Pk/Nvc2u2midL6wBeYI0LrgH638zZwH4xK398XSpjyiDcbc2dcoSjjMT5jKLsdW5nL26+TnwE+N+aqaSsc2TRk6zGAoxnaKEUDpf0ySJwDWiZOKsLxqudj8lTZ1sgIejRRTWf3Idx2pbQB+BgGPFgmkO3L0sM2eFYDKbaWlil0BP2vE/CwozLfkZAWSmpnlDiqcnEBQ0bON0cq/sCvzwEnZddmyIiuvKLeMtCyBn2Pde8H86u85GdgVsL6DntEKFJI/3w4c3Gtzsq91G2y0nYONuS/wU/XjmaWMF1aucgGPahu3UC3L6JtiD47KsqE9450VtxzcYy9uKLN79N7fMgM0nKdgqBPw6NHH5PYuzc+4bu3tw2J+PpDZ37ri7i67lW46aM9HAOhfjTLGDD8kwK5P/L//Z8sEmnFAmxnX20V7HyNXYdZjOw4fFQBaa++JANC/suGb9Q/6OoAbZAjmFf7N37wCHPI34B8sREA2QFICJMXLe4r2hKH4k5/8xDEzAQJD5iKAN67ugISwfnEHh514h7zLeLbjxg6gF8yvgXs6eZL++Mc/2m2S4KI8RF2/88473XV8H9Yl3/+GDiRgTFIG1qJ8l+vJi4BNXLNo0SIHmHINAOm5iff5DuxWWKm49VOH6dJXJ/EZieu433XXXee0TmGYAmKGGqnYDxd0ruda/s0rwCwgJsGkQvsR5R5NT9zbSb/+9a+ddiqMUYBi3OCpC+XlHsxB3Iey8Tf343Py4H2YtjBpV69e7dzjCSQZpcgCkQUiC0QWuHosEAGgb0JbhYtSFjW///3v3clqpVx6ewq4yrztdssSyyy2s1zb9OANH/4+isVaOGDSEZhH0d710J6uRcpwgYNOw1AbCd+JPIkCTJTn/AXz7ahcmOdqAROfoIVbG7lnB2wnMRQFQhbnFyigU4pl6GSZDTugWVsArmzOARtWlJRK87PCpsudZqQiVBIcI9ic+7ctfQPws2jxYoErJyxrlgJJsSDGrp7bknbU2tMxh+trqqX5WWyDhiaL4Zrh8mobUBkwsr0D60PNz2kZmTZarAMWn1iUBbGv5DYBYn7u2LjJXtBGY52Ac8DPeI2PKdKwSgTMRusTgOvYUVv78tUHgDq7yWbojeEOBqtjm9gaaH7eK83P29D8DPbMXm3LTQkgA2tkweL50sA8ZnMF0iUm9JV7NmCSa01fTek2avQN7lsjxsriokU2ZPAQBa3Jc2yYwA7+ATNALMy3YnWprVu/1mB+jhsz3m2SGEA++6szluzqDkGk+VlQvNgOS/MzL2eutNzimw6XuMrvGAns2l4abPWWL5fwQf2l+Zme6Ri1HKL5fGZResYloDKAdUnpMluzdo2iy8/QJnVKYFfVz7ddQ1AZzc+Conz12502J29uE/MzlGvxY1fqRz9lCMxfv9K+/dKztkEBj7h7WmKKfXRcrg3q2kfR3k9YJ7GyGw7tthfr/7YB0HCegpEFaPHoo1+X1t5uSwD8zJLbe0Y/gZ8CUzjE0DMiAkAZKWcTfSr8QTsRN2Q0IwHTZmlu+KyYnxP69JL9YKu3t20RAHrWeG/BX7QV+wHaCq1PdDhhUXJICUkC8I7PYVTyigs6kcgB//g3zMSFCxc6V3bYirQz8/C73/1uFxAIpifsSN4DsERLlOBCuM4DopJ/OIeG+w6ATtijMC1Dd3HGJVqZ//Zv/+ZAWNjEI7Q+4vvcm+9yH+6Pqz6aorA0CebEd8/3bOB9vn///fc7b5S8vDzH1Azd18Pm4N5cBwCKLum9997r5obwvthh6dKlrk4EZEKbFLASGwIeM5fwij3R8aRO4bOMQE5fkp7oqFGjHKiKOz8prBd6o7QNdSFIE/cG+GQ9AwjKffkbuwM4f/aznw2LHb1GFogsEFkgssBVYIEIAG3jRuKBSuJhzYLkEbGvqrXYgfmZLfAzQ8FVYrvg9t42zE8CyJSVljjmJ9qUKWeYn342c83NByiGe/bOnY3S/MTt6qQ0P+c48BPmZwB6NP9G6/7GtFp7uV9VOh0v1Qnv0BHDndu7c+dls8Qu02OiPWG3AnSWlSy3TXX1NlFRwUeIMdgWAC9FJ0/n9o7mZ77sqrxzFNGyt9zeAxav7zpyCh+ASdViYJZpkQmjdrICj7B5ojzO7m1gV5jKgPX1GiP019HjxwUyDYKZwgW7j2zDdtwiFva8X/63rdHiGPAzSQGPJoktkSD5hFMC76kofehqBEDZKGAzNgRobRGtdOuWrdL8jLeHZt9iN8jtvYNccJmhfNpWHcQB2Xu0iVuUv1DSG0cE0s2x/oqeTdCaYB7w12dpy5D5WSkG5tImzc/sjBwdAIUsFTdR+Og67h7Y1jE/NcetXFumKPPrxfycbqNHiKksV3hZ1K9NdccApAvc3vOL0PyUlmrWLLcxZXMWtKFfu3I3DrRq6uq02SxQROLBjlHLPEDk8mAe8JtncLh0SuDnUrm963Bp6kybMG6CkxggQ/7zmbCrC3h06LBA5SW2d98eMT+l+ZmYZMccsEB+fvJ0fZVnkgbdgooy+8/5v7Oq7Vusg+5PwKP7RqXL7T3RjmougjsFI2nzwb9tADScpwAv0PxEnqNRB6jxXdvZR7IS7L70ftYtVtYIllIySsQAbd7/6VP8kGB+flLuwEV6ZgMgZWiN8JVJY2ysmJ/MyxwBMU9EAKgz15v+K2wn+joBiQAOAeo41CKwEBqggJy4c+PaDTMSoO2hhx6y733ve668sA/Rr8SFHLf1kJHJfXAXx3X7X/7lX5zEFn0AMBR3e1y10c0ElKQc4TM/BE8pD9HdcXMHWIT9yNgkyjxR1nFXB4Tl+yGwyf1JlI+DC/LHHTxkpIZ5uIv0K8yX/dAc7Q1gjn7sYx9zICufhYzR0E779u1zzFIAYiTDcHXnWQfzE3tQZv7GhZ9ASNgPN3Z+kpOT3Z6LexAgifKFdX3nO9/pZMiwDcxXEmXlh8BHAKTYnmcsgDA/3JO2oV14n3pSTmQKkBiIUmSByAKRBSILXD0WiADQNmyr8CHOw/4PcnuHfYXmZw/Az9vvsIy336SARxI9F4smcHsPV/itLxS6bEH0bGlTasE0Q27EqSkpWhSHm9bW59H8DloHOMblbi3KluhkWktyy8mT27vYB23jlqkFizaSbEvR+iNQTnJqigIeiZnUEc3PAPxpXsbW/k0dAW9wbV0h17IN0vycnpZmw+QW3pZ2dQGPtAguXhIEksqYldvk9h6cvre2Xs2/Tx1Du9arfsgJDEkdZlNnznBgkvvcDxZwJlvu6dzeBSbRjth1ik7sneYnILbH/IIxKXdeAfXb6utdtPcqsSLQpY0fNtwm33WnJcH8FMjMmAzzvtoA0BBUYFOE5hdu71sEfg4U+Hl/7tvt7VMyHZgNqAB4qBcvCfui+Umk1EVyez9++oQ0P+e6aO8w+nzmRYHJj00LYGSVGOCFyxSVfHCyZcpdmk1R4J7Nlf46EXkyD3BvmJ9Ee58xJc3GjJbmp/qwyynsOGTtIylPGO0wTxYVLHD55GTOcowbt6lrArJ9ZMU9zthVedbW19qykqU2sO8gS09Tv5GtA/DTn03DPDsK3EIeAebn2vK10hhNE/g5URHgw3nAf54wlTkkgPm5/8B+y8nKsX59pfnJHODa0U+ezqbqNx01r8xbV2rfVcCjOgU8aqfBl9F3mD0wOtOGdpeGK9qgrhfBhP3bBkABUABTDmmeAgx64olv2o7GJvAzM8E+IOZnNwHwtABtQb+LAFBGS5DoU+EP7sFfEquNV+aE2dL8/IzT/AzATwD1pskpAkCb7Pdmv/Bcpr1wX4c1CJB2u/T/AQ4JuJOUlOSAPMYEwCdu5TAY//M//9MFSeK7MD8B3ABNAemIfM77AJ8Ao7hr4zb/D//wD+5vPkc/FJf2//3f/3XjKJjXgtqHICaR29mn4O6ONin3pHy4ngNAojmKCzzvA1TySuKa66+/3mnNEnDou9/9rgNOQzAzyCX4zXfIG4Yr+qT1WoN94QtfcIxl+ix1IlEmriMSPeUH9IShSr2xIXnQ1/mboEyzZ892bv+4uPfo0cOVD+ATt3r2X9iDoEXkz1xPoCiAZNoA2QDug81ZLwH4YmN0VbEJ7vGwZ2kbAFDqxf0I9ATjFTf4fv36BRWMfkcWiCwQWSCywFVhgQgAbaNmCh/0TvNTbu88ZOvEoumqU94cgZ+Z0uGJ0cNUT2T3oNfvVpckhDFgKHIqWrpsuTUAfmoRFTA/g0WFj7worMuPNZCKfkbzc958t5iYdQ1umdL8ZIOjhYzPPFl3sQlngbR+XbmVLC1WVPJhli43oQ7tCcwTgJ8+86S+1JHF5QrZlWjo07MkJyCwjMUTZfGXH7mx4aOeHbRY3GP58xfondOWlRdofraVXQHOAXeq11fYCrRUxWwNND/PgiL+6hksoJ1dtYheJv3NOjFOZwqsHzFG0U5lV+osJBJztCrROvQbZ1MBYzs2EPDoKSuXzugZzU+xAuLl5k970qm5NkxXEwAa9kcW+izUiZCK5mdSzz72sWtuleZnBlZ1iX575h9hZS/1tZmd0FDcpWjvCxfOlzblEbtmzrXaOPQ9ewgSZnypeZx7PcVWg7p5QG11VvNTAY+k+RkTE6vPme/UdzznCRDJgceKlcuVb4VjfhLwiCBIdloFwx4+8jzHrjBqFxcukqyI2DM511icwGy3UdR4dfmea6PL+Te3kl3ZDAIqE/CosLjQhkoLN32m5lc2viebDux81JEyunoGYB+gI2Drugpt5mdk2dixkr9QfgzG4Ljrcip1nu+Qp+rJhvvw4VcDzU+Bn8gJ9BPD54xWNe3Z2tRkU/oqMxman999+VmrkeYn4Gea0/zMtlRpfh5jI34mv79tADScp0Lm53/ogHivQIu4Lu3tozm4vUvzU+7ujCXWEKQIAD3TOdw4Zazyg2szrD+ALoCkrPg+9uUJo88wPwNYKZwmIgboWSu+eX+F/R05GoIKEVwIl3OAf9iWHNgx7wL2MS/xPqAjruHoagLmMd9/5zvfsU9+8pMOkCMAEiAc90ZeC5CTe8HgHD9+fACECxws1NoKt3kATu5BPvQbvsecDnial5dngIawHwEG+bxcmvphsCDAU5iTfJ/vhPXBXTxNRAAYqQCT6JM2BzObW5h7suZoDoB+/vOfPwOAYgOuCcsIyImLeXOgkTKG9qM83/72t19nPxiovI+dsCX2IAASCbf2ECgmGC2AL+t6vgNDFkCa78AuBVwF9KRclJu2od60G6zaufLEIvAU17u1VPPKRn9HFogsEFkgssAVa4EIAG2DpuEBTuLkkSiEX9GCokosxT4SMs+45VbL1AM3tktnt7Hjodm0tm91SVy+LKAEJpUpMM/GJvATzR4e8KTA/bTVWbkbUE3yBDTbLZe1Ai3Sjh2X1p80e+IU2f6sK6if/LiLs2xTvrViCi4ryLehKamWroiOLEIAP88Fr1qbu7OrGgnX89VlZVZTsd652Y8cM7ZN7OrqqTrCQNwnDSjkBGAoZs+W5qcWu5TDZ79x+TX9oi9u1Kn8CrmhDxToMSMj3S2WTwJ6eOyrQR1ZDIupLH3Nleqv1QKzCSQ1Wgt3QEmSr0Vl2FfR89yxYaP96ac/sUq5X7HQjktOVsCju62v9KBOyAUfwPXcMXm1AKDhpoRNFgEPvvzlL1tjY6MNlfbm+7Kut7tm5GBVBySEoIIzdCt/Yd/2ioSOZtnigoWaB47YnDyBn3IjZtPgMy+KSn4k7lstjVr0MAcNHGqzsptrfgKaNF3orm7dL/LkjkSvX1O+ysrXl9s0BTwiKvnxE3JB12fn9pvW5RjUE3dzmIn5SxdJ8/OoA5X79I7TnIBEA33VXx0xF3eDgbhxy0bLL1xiA/sPtqzMYH5lTidyedvY9bSVriixtetW24zp0vycNFV9R3OdSuRrHgjbI+ivYh7qkGDpskJr3L3D5uZeI5mGAdq8N9nVU98BtMOePEcWVKy070rzs65J8zNdmp8Pjc2xwWJ+Hse2rhedKeXfLAM0nKdgXDXX/IyX5udDmfH2oAIedVHAI7o2YzwcyREAGvQN+lL44zQ/xaJbrHUCwFO2wM/PjxsdaH7quhD85JsBnh8BoOEIezNfwz4PmxJWJc/Fp59+2u7W2oO9AiAbiVee37hn4yIOExGAEjds1itETP+///s/xxqFARomGImPST4CJmmZ1qmhC/v73vc+x/wcqcNsgFD0Luk74ZwKoIh+J+sFEiApYCnlJRgS+QHCwiyGDXkuAApbEmYmoCpALazV8JqwbOEr+ZJgjQIeAkzed999TvqC94I1fMAwxbMLGwCwwtgE5Ad4BZTNE1jLWoNgRgR1wn4AmNyfVzwl+C5jIzU11QVAIpAUCY8YbILMAJ9jF8YN3wv1TlNSUlzZuAY7kC/2onzIAACaQjIh2j3s3AvV12UY/YosEFkgskBkgSvOAhEA6rlJwgc8D+TfSvMTVgMnvbi95955l6Xh9u40P7UAkbufpz2WahEsaHgory5baVs3bXJuxMnSMgQ8YwfhlUHjctRCRYueXXJ3Xbok3y0CcrWo6SOQ7qQWd+ECy5uJ3aLN6fhbTZXc3rV4SRbzc3pautNwY3Pku46BXRUER/VZJbH6DQIHp0yfZsOlFcl7bWNXyQlowbV7105brkUnrsNZWvD1FHsYYNDpmgbrSD+mdXZ1HcRqq6ptlbRNh+IOLhAiCPKizEB2fOapm7Fgdoza4mVWrzEyVWArbu8sJn33VsZle9l0W12t/UXRR9dos8jCFs3PCTrlT9Km4ZQbJ9p0q6rnpssHQEusWJHXu2hT83VpWD2kBTNl8T42VOBwgwWjimjvaH5uaWiQ23uCfVjR3m+U5ifglbPF+Sp5bqUv8t+BbXUIAkMxX4cgmoNm582xvkn9HUjnu79q6+/sx1ivqq1WpOMibRIF0qXnaB6AmeLfvkGeOlxSHwH8rKhcZ1OnzLAxI8YITA6Ynx5NGgw1+qzYpmzmiorz7YiYn7kZkhWJTwhAZY0fn4k60vkB4erq62xZabENluZn+oxMjZ0AwPM9vzq7qh7Hjx0Xo7bE6a9NnzbDxgtUBmhmKPoeK+TZoUOMHTx00IqWFdh+AQB5ObMdoyo8XPJlVzm8OnvyuqgS8PO3Viu3d2ycKc3PD4zKsNReCYHWqAOWm+d8+QxQ3OyfqVluP6sstJTkFHvuj8+JTYs+beDq2TyXN/vv5vMUrsCPaV7cKfYYzE8CHt2P23unQPMzBD8pI4+f1gCg+147YY/M22Q/Ld5v46Vz+Jy0/4iW3VbzcVvZlfKSsCNAF7qNMD9Z52X26W1fbqb52Rz85DsRAIoV3poUthsBdcYoYCZ7BA4oP/3pT5/pg1wDsAeQCdPTAdo63IdtCAjHd/K0FkTrFXYoz3iuYY686aabnEs8rEgCHobjDLAUt24APiKXo7lJICQ+xysN0O/nP/+5uzc6pERLJzgQn8MGxXuN8hIAic9J5Mc6jVd0SGFa4gYOOHkuwHqutYP13VndUO4NExMgMky4p+NOD8CLTQiYBCOWtEl7GwBkgFt0QWE+cw1l4RXpgP+Q5A/BoQCZkRd45ZVX3HdZc37qU59yrvzkC6iKtid15TPyIF+COEFeAfAN780N1ivWwL333uu+x/u0E7qktAHgaJQiC0QWiCwQWeDqsEAEgHpsJx6IJBYpLK7R/Fy3bp21j+1kg6dMtYkCB2O7dDuzMNHz2ksiW9yI2SHs2r7NNggc7Dc02TH4eLCTfOXFvVwt9Qutv5MnTyi/Kmvcvt1GTphgfbSwCjU/veapSsIWRK/tkE7Hq9auplY2dso06yBw6bTYMyyAfCZnV9wWtTDaIxZdrRY/CdIYQhOzLexK2cmTOp6SDt4mgTs7t++wERMnCPzsEwDZqrPPagaLO7m7qv8cFnBWJaYBgNWoiZObTuMD5qd3uyo/Nrd7duywai2a47XgTGHRjburkq860lfpFR3VR46r36yb/4qYn8Fm0Wl+3nmHwE8CWGkToXa+UL6XDoAG/bVhZZkVSXy/i9q0LQFQ+iP9H7f3X/ziF87tneil3dvH2DWDx9oN4xTASp/T3mcZfJc7XgKrBvNdOzcPHFfE6tpNtdawbbONHzHeEuKSNEaCMalcm1pBL5edzuZJ/4Ql8+prh2xNxRpXp4ljJlunjp3cAQHjNZilLrd+YSHP5uncl8Vw3bVvl62vXWcJvZNsVIqYI9TR/cd3fNQzuIubBzRGTum/DQ311rB1i40dPtbiBWbDUKStg77qr47Uo2OnjvbakVetvHqdxsRpmzxW84A23kFb+rUrYBabemwLA3NNpbTU4gbYqOGjnfyFRpD6qj+7MrnSQmxU6UMbt260+k31asdR1i9Bmp/OrswBrW3H4PvUj75IgKW1B7fbb9cWWY0CHnH7LGl+3i/Nz8HdNa9zner6+nT5AGisAN5napbZjyvyLSX5ygFAw3kK5idgA26qO/QMiO8qt3eBn+9P62fdY18Pfoa94HIBUFrkyHEBOq9ssh8V7r1qAVDm3HDtAVAFgBZGe58jzc9Pn6P5eW6vulwA1PljaKz+adMWu79kpQO5OGSDfUd5gjn39T04euesBYLnpblD3zsUaBF3a0A/QLQQ/AP4g6HIZ4BqHGZyLSAm34cVid4lGts//OEP7YEHHnD2B/TDVb1GXlFfkts4buV8n/mVAzSiw+OqDTh5zz33OACR99H6hKDB83S71vC4iQN0wh4FqLztttuc9uaNN97omKGUgXuSaHf+jdYoTFGCLKHTyee8f6H1eDgHwKSk/1BO2Jqf+MQnXPmwAaAsYCPXAghT1wcffNBdy71hqAKOwu7EfgRuorwNOvAFzCVAEQmQlDwIQMthO3M/YDD2HDRokHPZB9TlPhyGoDmaJ4AZuyMnALiKpqg7qBcBgnJhe8pEuX/2s5/Z+9//fpd3aBeXcfQrskBkgcgCkQWuaAtEAKin5uGhTAL8RIuHk9Nana527dHTRmRnWuLIUY7J5x7+wa7OS87k216Rjk/o4U7wmNjOsTZED/L2AD5yH2Rfde4iuLUZU1UWEvu06NpSW+vAq34DBzp2gYuE7rF+lJX8cN0HAEXT9JCYZkOGD7cecgk6rkVPsNhqba3++vsuTy3kcDPdqAUi7r1DxaYFbGXhE4APf/0dH/8igNMBaX5urqm1xIEDLLH/AAcGODaU54akjixSAT8312+wg7JrigI6dZHbDyB2W9u1VjqjaEYOHT7CYsROgF3ns79SPxLg567Nm61y4QJ7TUwj6hWv/jNVAvfxKakB81MZO6Zi8JXX/b4UAJT7kzpojNTkL7ESAZJd5ULWVgBouKEA/GTxz8ELoEJSj15204hpNqZbfGDbpvYOILbXVfGS3giqKHezmE62d/9egXQ1AueSbOCAQdZOGDaBbM4CkZd06/NcHHR87ApoDoC7ccsG23tol6UMGW69evQW4zzYjAWbrqaGP8+dLv6tpsFGngKxyLt2Q7XGy2nNr6mqd6ydPHYigDx9j0sVsiMMxYP7rL6hzoHJ/fr1145T7vcnABvI0EcdA2vQltiVDdymhk2296DsOnSY9ejeS3YN5wH/eXbUnMoBWlV9latP6rCRFisQGxYm9bvQBjoo9aX/Pi1msAPOD79mlRvWCsRO0CZ4qIwqeRPXX33VsemggWeWirl8Y5W92Fhth48dcX13RsJQ+9CYHEvuESfNz3Pd3pvX69IBUCBe2jKmXQf7UcUS+2VtiaUkXxkAaDhPAS78VBIkX/vq12yfQJgEgZ8fktv7A1mB5icAMW2P7ZonevzlAKBuPhaDefeBY/b5lzbZ/7fy4FUJgFKP8GeFwJh/FgOwRExAnfpYmpifX5s4xkZpTaSL/srt/a9s6Ix6aS7w2B3g9JT61FPVdfbZtesjALS5US/hb8YAbQjI+MEPftBqWT+LNBAXF+eeMwBrAHKAfYCJCxYscEGAYDAyJthbEJgHXUpYoWhZcj9c2wFG+RtXdkDTYJ0aMDVhZj788MPOjZ3DB1iPAIaAfkRw5zACbUzuHQZKAlRFRxQJHdzrAdspf3OAkzUHLu9h5HnASO57MWBgyIBFp5wyAc5SL7zYCDgEUAvgCFBLpHWASRid3Ju647YPeIs+KD/ky7VIBeBWzwEB7vzYhe+TeJajic7+DFAT23O//5ZX0Jw5c9x7rJ9wa6dutAXl4m/mLVzxYdjC2gVcJSgUwO3F1vkSukp0aWSByAKRBSILtKEFIgDUg3FZdJB4oP9RzE8erpViRfbUgzPzttttxg3XW6fYzg7Iwg3Xx+Y1yDI4jT2uB3mptIK2bd3moqAPHDTQbejcJuLcXYQr6eX9OpOngJ3dOxqtMD9fC65TljtnrhiKvRx7zx/o4dbxzlYAn9y3uqLClmtRM2zUSJs6Y2YTEEBdAEcvr07nfqupKR2jFhf3lSWltlFA9vTMDGmNprSN/qbbYWjTIqbQXi2ACxcvVt06WJaivXcXgM5Clvr7rSOZBqDHhtoaBXZaZinSip0opnKQgs+95injAgoek9bTiuVyexdgPzMr21KGi1GLxigl8gSeh+0IUL9N7feC2CpVypMNdA+5amVogZwoEPTEkWOSokDfqanaF3i5WACUuYCtO67Le8RGWKP5YLPy7SlQmYU3mw13zRtleIFynPt2CCqwgYA58jUFDNgh1vCguER7f/b19o4J2iDxJeUXZPkGFT03g/P+G5hF4KfA+t0KeLS4YKEbrLnZCtDVS4w2bUQA6bCErxTYTMCgxkVlTaV0GwssJVmBz+SeTZ8hJ+Y7f3m6QenGHX1m5apSBQRSgK6p6Zaaon6jgxFl7PL0VcfguSCQTnbdf2CfND+l6SeQdVbWbLep47AHtmTYt/3kG1iMTeCGTRssv2ixpQpUnjl9pupHiQIWpj+7UmrdTfMZz44SzTuV1RXKL83GjB6nDa40eM/Mdb76D731lAOVX1XAo6KlBW7zmjdLcgJi1B4XCBvYtXX5hd8+pXohDUN/JNr7D+b9wTbu2eGad3yvvvbpKdfZEGl+Hm0R/AzsdClR4KklhwPkW7a9Tu7vS638UKMlJye7dclb6QIfzAlBlGXc3h8XUNLYuMs6x7Sze2f0tM9cO8S6yO29vYadW7ecp3MzIi8VAHVrM4Gfx3Vw8JOibfarlXusfPuJqw4AdfWg/gKgcHeH4YfeInYd16ObPT55gk2Ol3uyQP6WHHEvlQHK9fRreO7LGvfYo+uqrWjfHuulte1TAq5ulhYiZQrWfedptOit11mAtgR8A7TEW2ODDvXZOzAHE+gIgG2CvKkA73DDRtPzi1/8oiMdwJpEMxf2ItHTe/Xq5dYTuMQ//vjjDgjExZuo5WG7kB/9BEATUBXQEJCRe8DaBHyFQQnAB+CIaz3f4RD1S2KT8j6BjTIUZJT33XO26RU2JO7meJughwnYSF7UpaXEfShfqFUOwAvQyndhobJOAqQFdAWEBIDtq+B0fIf8Q/s988wzTiMUgJLDLVzWsR+v2A6N0IkTJzrAEh1TEvl873vfcxqfBKlFYxV3eTRCuT9rKUBgGLPYjPU3dqZu7xfbE0Yo5UI+AJAWpujF1Lkle0SfRRaILBBZILLAm2uBCABtpb15kJNYwOBmwWIAkfNuemhnC/wk2ntnuZOwcHfb9HCX1Op8xTDTwh7h8DKBdA31dTYlPcOGCUyCJcQiwa1cW5lP869TVTQh92hRkK/FN3qU2To1TUggGjEAlt883WKLu+q2VZUVVlK01Aanplia6omekdP68wSYhfV0dZRdYbKWSR+oXgFWJs2YIRelgMHrms/9Cr/RylfZlI0rLMU9YicWixlANOnsPIEe6kNO81ObWp9tGdhVOIPAlFr11RXS4ERL1Wl+auHqPsfoHhNt1VERfWF3lUj4vk75TlHk0DHjm6I8++w7TWOyvQDl7XX19vIzv7C1AusBtLto45agumbe96ADYRwYcxF1vRgANOyvDvzc3GDVhQV2SJIUO+XK1VX91TcAGm4GWPzjivWENi8NDVtsoMDPh2bfbNdPkNu7AENmKPUgb4m5DObunn17xVCZL3DhqOXlzpEGWH/H/KTn+Ow9NCdNBEhFwKOi5YUKzDPQsjKk+dkpJpgHvOaoXqH+2r4j7JlTtmrNSiuvWG1TJ820caOlo4hBPdeR+1FP2NgHFPBoSdESze1HLDsj15ISEgXSMaf7tytmI9o73grFJdJSHTBIoHKG22y3xTzAPWlHGMKlK5Yr2nu5TZeW6vhxEyC4ulb02XewK/0VN/SDGif5SxfbwX37FSxrjiX1lV3FHPZpV/qGqqd6tFO0d2l+Ktp7beNWV69+sd1tdr8R9uD4XMf8dM9LCnjBpDlT8/Hmg7vtxfoyu2dUlnXvJOaWNunnphD8ROaieHuNlWyrtfrXDtjyvVssJTnZSfK8VQBo83nqv/7rvxz4ieZnQrd2Nr5vjL17WpLdPikxGHMq/4Xan2F3KQAofU2IsB3VeujF9Xts2cYDtnr7a1a44ZgDfDisvho0QKlH+ENQHPQWAUHVEayvGPizNT88PHWMxWrd4tiz53aOZv++FAAUe59We/CdJdt22282bLV9OviZv6tR69te9jQu8BEA2sy6F/8ngBk/gG2wGsMxAkgHwEZ78z7Pdg5xAQFZ07PPAJDkPUC5EHhmHwCYyPswIMP3AfDQzITFCODJPQEPuT+AIfnBwARw5N+AsuhrUh6ugVHJ39yTNfe5iTqQLyAh18DgvNjE/fke5aGeYZ6UiXvxb/IHTOXfzUHVluxH4CISdcVWlBtbuT2R3ue+2B1bch8+hwmKzSgTnwMQUyY+5z0+69atm5MG4N5hnZu/x/tRiiwQWSCyQGSBq8MCEQDainbiwUjiQYprCq4TgJ/dtdjIEviZLlHyLnpo8kANH76t38IGi2GYpEePvOaYe5s2bbZ0Rc9OTklxG3atk5QutI3gs0tNQT3ZuOIq+Pxzz6lOJ8VQnKVTU0V51iIGtzt/eSo//e+YXbrveumoEpV8KOCndI46yBUL2/utZ2BXFlkwgkoFCm6Se9I0gXSpYkYGgVWwmy+7YlPqGejuASoTSOq0+kpGbq710ak8i0N//YayB3ZlU0h71YkJgF0Hq99MnSmwTItngJ82s6sWpKXFSyXVUGuTBSqPGjvOtaMrlxe7Uj/sKmargLGttTX2ohb3FdosspBNEJNiiBgW+7dtt8nStuqkg4lwDGOdltIbAaCuPypfoszv1nisLlhiPeITnCRFmfSxOsu2Pl3gwzmFBT4sCA5etiu4woDe8XZf7k12y5Rs13cARmBQBzZuqYYX+ZnsGyPJjUYxPxYXLtTYP2Z5ApP6JvW1E4B02ih4y4s+wTjXHdE4rqyqsAIxP5MHJ1tmWqZkE2LVX6VOp/nAX566k8Yg8wB9pmx1qVVVV9o0gXSjRox284Ay8zcNuJuRZwAq792/z5YULhbz87jlZOUq4FGi7Cr+VRvYFZuh41xbL/BTkdD79x+kQFJZLliY61+e8zytetCOPEOWlxTbuvXlljYjTcF5Jro2pq+6P5ps4uOFtgQUOPzaYUW0z7cDB/e6YFkD+w20Y5qPYH/76TsCisT8hIEJCPmX8hL74fznrKaxwVUpt99wG9u9rzCr4/bOUekXWbWLA0CxW8j8LN5abcU7qi17wGhbd2CX/azqrQ2CFM5TAA4/+fGPXdCWHWJgxcnt/ROzEh1oh+bnXVOS3hi8k9UuFgB18zrgp+akP63dbSsbDtl7BbT+dNkOe3LZ/qsGAKUe2JBExOrPfe5zll9Q4GRbbuqXZFN69rYNr75mX5o80nrw/H6DIXSxAChPUQd+yoYF23ZJSmGLzR2YoPdO28dXrHaHs08rgnmkAeqa5pJ/he1K24ZgJTdhzcezpzkYx98h+Mf1PJdYF/JeuD7kfuF6kffDcRd6hcCCREczdBUP7wfASJR3mKEwPGE9AsCSuDf35N5c37yc7oKmX+E1zcvZ/POW/m5en7AuoU24H3UlNa8r/76Q/bg+LAf3Ce8V1pfv8l5o5/Beze8ffs59wjKRH/fmWRKWi/fCvLhPlCILRBaILBBZ4OqxQASAXmZb8fDj4YgLBREMcT3FJQLwM/v2O8T+vFUPS1iKoRbeZWZ0zteUrTaRTdGzxQbYVFtnM3NyLGXYMBdJN9CHO+dLHv7JAmHnzkZbI5HwfXv3ye19tk5NCcgRLMZkCm8pXFiwuID5WVxQKPAz1YG8lINNbbgw8ZWps6sYFCyMYNRWr19nM+SePUIi9eEizH+enMLj9r7X8qX1RMqeLTdi6XmFdvVVP+7DpibQ+mtvNQLqSyUnkDx8hMDPNGdPNvD+68jiNbDrMrVjtdiQaQJ4R41V9GxtTkk+86SOgCw7NzfYn7ThXre0yLFoE9SOU6RvBZBUK6B5yh23W0wXAaDqSxeTWgJA3VwgmCNgfm629WrL7vFxNmbuXNtevs6KfvJjuXeKAeopCjwLdGwG+InmJ+Anbu8D+sTbR+beYjdNzHRsOnbDwbj0NThh8Xa0PdKonTfvFReV/Pprb7REGIoaN37zCjY51JM5raa2xhYtmW8pyamO+RkrewK4BvOdr/oFedJfYfKtXLnCyqtW2/TJaTZ+zHgBZv7ryKik/+D2vk/g5+KCRQpCdMjmzrpO8yuHILQ1PdRfHekX3BTmZ92GeiuQS/jQwUMC5qfmV4Ly+M6TOpLfyZOnxTSVa/a6NZY2PUPuiROa6uixfk0DOrBrBzukZ/SSggVOb3Ju7jWWKH059LHdoV1Q0YuZAlq8hrzoi9xzkdjC33zxV7Zh13bXajMSku2fxs+yrQJfK/dut3ePzgiAvBbvyIdvDICG4Ceg69LttbZoc7llDRxts/TzZNVS/bx1AGg4T8Gk+rHm4oe1Rtq3/4CivbezhzLj7L5ZA+zFVbuppt0tcBLt4JYSc/vFAKC0hRpCLNtT9kL5Hlsq5uedUxNtdLxcal/eZD+7SqLAu3pQZ9VjqbwmcG2G+ckaJSOutz02ZYL61Gv2283b7dFpY6yrxhdVb2kkXQwAip2ZAE7JhoXbd9vPaxosN6mP3T5ssL20ZZt9KAqChIVanWjf8Ce8Gc+78Id2DxNr4TCF7zd/j8+av8+alfsQ7Oc973mPY3oSMf7WW9mXELz0pJMBIXgRnin8m6BWuHRTphAwbH7PMP9zXy/mmnO/0/zfoQ14JYX1ovwt3fvc7/Hd0Ha8hp83vyd/k/gsvDf/DuvL36RzP+c9ysV9SeF3w/zcm9GvyAKRBSILRBa4aiwQAaCX0VThgxU3iefEhvyqFvYwP3vExTuX9yy5BcXi9q5FRfgwv4xsXvcV1gdsznEZWbG8xDZt3GgzdGqbKpdeGEPhw/l1X2zFGzCTOgik2yXWBtqUjdu32jvufKf17SfGlwJk+AZcqaO7p9YZVRWVtlxuxMkCd2dmZrmF22mBHr50IkOz0J4sgNhYrChZbhvEjIT5OXz0aAcqt9UiBxbvPgUeKlq8yLlnA372UR8KF69h+Xy8YlfWbrB462pqHPg5KDnZpktOgLqfZbj6yC24h+uvAiOPyZV3xbLlViPwc6pE+8dIWJ/82Pn67LNhflvF3MXtvVzuXACcfVJSbdo9d1uSQNDt6lMbtJmcoiABMdKYai0ASt/RlsXJCaD5WaP+Git3rdGz8hzDdINYO8uefkpR4GO8AKAsvLEZjCqE+x95WMxPudkPFPj5vqzr7a6ZeY5JhXV92pa2wh139+49trhooXPPzsueK7f3fpqPjjfNA+pgnpKzq+rJXFBdXSXm5xIbPGCI5WTOcnIR7hBEn6mWnnIMNj3IQjBvw/ysUMTd6VOm25hRYwW2Epgn2Jx6y5Abqf+Ebu+LixbbkcOSE5A2ZbzmAeajoA391pG7cUhQD/gpV/uBsmt2BvOrwE+NS7/9JrAr8w73LllebOVifk6fNs0mT5zigHNl6MaQT7tymAOofPDVQ1ZUXGC79jTa7Jw51r/vAAdkB88tP3alr3I/5p+FFSvs+6/8Xm7vWxwYmpGYag+OzrKUnvG2pKHSNoqVeY83AJS2kj627Fci8LNwa5XN6DfM0vqPcO/9omqZPVn91gCg4TyFq+iTkuf4hvQJt0k3PKF7e3soQyz19H5ix3ewZ0sbpevbzu6emiRUoeUewJz2RgAobeHAT73+WczP0k0H7dZJCTZpSHc7fOikPTzv6gBAqUcIspRIiuffP/tZW4KMi+aErPg+9rmxo2yCDkjmN2yz57fsdABoFw8AKDYGJOWptlSan09WN1hGUi+7J3Wg03z+w6YG+3Dp6igIUstd9S3/1I0DlQIdTwIi4doO+zMvL8+5e7N+YM+CHiiJKPEE9EF3k+T7GeBuGv2KLBBZILJAZIHIAleIBSIA9BIbgoUFiwNYDTA/HxWri4BHPZqYnxlvv0ngZzfD3S9wW7zEDC5wOet6p/kJ+Cnm5+a6epsmt/dA8zM47b3AVy/7bfKMiYH5ucsKFUEb7bGpM9Nt0OBBbiPiGDSXfffXf5H8woAmBDwq1qItZH4SHf0s6PH6717uO07rj805oIfYFfW1NTZFjMi2ZX5Kd6+TAknJrmh+0qey8tD8JJCU/7Y8Y1f1W7Q3VwgAHDpiuNP8BNRyn/vBAs40A/cETEKHqVQszNpKbc4VLXTUuLFOo9ZtsVQeX4n8AOp3KKDAC08+aeVFhc6WSaNG2wSxHpKQMRB4vnvjBqtXv/IBgFJ25oL2sCI3b7aqJYusm4DIkQpeFdNJQc8EwmxWtN7ip570AoCGoAJzD2wNNixbpPkJ8/PDc26x68ZLxkDu6TSozw0M/RPWyO69u23hglfsmHTg5uZdY30T+7q/g0Men22JS2/g4ldVWymQLt+GDBps2YCfqh9BZoL6+csT2zoA0IGfYn5WrrEZYn6OHTXOzQ3K0KtNXb9vsut+mJ+FiwTMHbFcBTxKlNs7bFOfIB35uWeXXtHira2rFxNTWqoDBlv6TGl+Orv67Tdhng78lF2Xye29vHyt8kt3mp+BlqV/uzLuOunA4aAY0ktkVzb7edl5iiys/urZruRF/xc3yOYL/PzOy7+1+p2B5md6Yoo9OEZB3noIzFb/Wi6Qsn7/Tk8AaNBWMdL4LdxWYwUN6y1Dbu8ZA4dLwuWk8f4zNcsUCOnNB0DDeQrvGKIpf+Pxx2yXDk56d25nH81OsAcy+llXrStwbn125U7wylYDoACj6F868FPzPG7vyzaJ+TklySYN6m7tBa6+elQA6Cub7KdXOAOUcUrCjjA+P/mv/2rLmpifOQI/vzxxjI3WIRtp3pZG+/PWRntUGqCtBUDVhV3S7GoFO3bbL2q22Kx+fezWlAHWRUC7Orr9XgDoQxEAGhjqCv9N/6EvoRsL+3O9DqCJMs+45NAbrUyCJSFjcP/995/RFPW5drjCTRQVL7JAZIHIApEF/k4tEAGgl9DwbgOpjTALCCIMfkXR3qvEEoL5mSVNQTQ/CXjkdBRZ1XtK5Atj54i0RstgfkrUfGZGuqWkpgYBjzzmFRY5zJPAPPkLFfBIi6lsnR7jPniWmRRe3fpX1vyO2SmzVcptGDBySEqKmJ9szgV+6gKZ3msiT8eoFUjnGLViRk4TQ3HYyBECPdiEBJtMn5lSD6K975Pbe5EYtdg1M2+W9Zbm50nnYuu3kqFdWdTWiUm3YmmT5qcYroBarq/6zRL8TXZtb0cF1hcuXGg7tm21CYouP2b8BO/tiD3Vc5zm5/b6entJumTlBfkOtIpLHWZT5fZOtHfHxhbIs6u+zuqXFkoDtDUM0HQ7/toR9UcBH6onzM+q/CUCP/vYiKxsi+3WXeNSrEhtMjYpOqsPAJR+QhuGmp+Pym1t69atYn4m2r3ZN9itU7POHLjAp/OVsC8Bj3bu2q3APE3Mz5y5Aj81Dwho8Mlwp8zhOGeDVin5i6LSAhsyUJqfM7OtUywBj/yDn4BYAUh3ylYo2nuNAi1NmTzNRo8crX4U0NK8bwplVw4f9inaOyDdkcPHbVbuLMfSQf6iTcBPdQtYkbX11bZUWrwEPMqQ5icRyx2A5HmCdXOdPBaOy1OgdEWJra0QqCwt1QnjJwVMPrW3b7vSltj1VT0r88VuPXBwv2WlZStoVtswPwkKyH+vKNr7fy34o1Vu3+RGX2ZSqt03KsOGCvw8SZkESC7dUmsbDjS2GgA9IVkd8j0tqh6g6tJt1Tazr7wkxPzEj5y27NQ+RgBW8ZsOgHKQyJwQMj8f/8bjYqg3WmK39vahjDj7QHp/69FFh256vp5WHZ4t2+me661hgMYK0MejgDFDwKM/ryPg0X4FVpJG5uDu1kGPCLr2IQGgX/vLlQ2AMmaY40hE9ib69WKtEzj8zezTyz43Tgd6enWHwXr2zG9otD95AEBdnjIS7M+l2/fYf9c3WFpCb7srdbB1xvuax6za9XcRAErTXDWJdmVM7pWnEYzPGq1x9+3b5wL/4L1B1HkCJHXVvoVx63s+vmoMFRU0skBkgcgCkQX+riwQAaAX2dzBxvys5udXBX7iQti9dx/LvfMuy9Apaox06Xy7aGs97DbnBGwolTvt5ro6p6GYMizQ/GwbkE55CvTYrUAni+bNc2zW2ddfb3EuME+4Ob9Iw13EZdSRzQublCoxBYvl6pUs0CpDDNc2c89WudCkg6Ho3LOrKl2ApWHSxGwLF3TMQB9C85NT+ALpRALcZc+e06T5Gbq7cqWfFNoVkK5GQD3Mz2QxIZ3mp/IO+rSfvMK7cE+YdNi1OL9A+VZYuoCdkZITCDd2PhfZ7MsArxq1MXv+Zz+R5udSgY8nzGl+alwmaJycUlmwNRqdu+rEwhIj9XIB0F79+9sIyU4cl/wFQaN2C/ysFMjbTWNjzNw5Auk6K38C87DpbucFAMVu3MuBn7/4hX3t4YdtpyQpBsYl2YcV7f2GSemuLdmk+rVtED17lwJ0LVgwT2zPY3btnOuk+Zkg12WYyrS6+8UfrU6uP2oegP1ZW1dj8xf+xVJThosVmae5NcaBkW2RZ3uBdLjflq4qsfWV5TZjarqNHT1OffhYkz391REjAdIRfIgAFAvzBSofO+w0P8P5tS3qSL9AO7pehwQFhUsU/TpZmp/prg8H8he+68g8ALP+lBUvL7K1a8stMyPTJoyb4BiKvvtqYNdg7jkkhvSigvl2QHqT186+zoHKTvNTfctXf6Wv8sxCe3NhxSp79Pn/tS1ysyelJybbR8fNsoHd+rho7+BHgAs+ANCuMZ11Nx2I6vCFaO/zNq2zOUPGWrqiywOMMh/yOQzQX7zJDNDm89SPfvQjp028v0nz8yPZ8XZ/Vn+nU8lYo4+f1I8XAFTzP9MQmp+4vRfW7bf3zOxn4wZ1sw5Srgg9VQ4ePXFFA6D0qfAHzc9PS/MT5ifPs7zEePvC+FE2CuanrqMnq1PZKw07PDBA5XkiAPm07lcUan6K+XlbykCBnwrAQ7noVfo7AkAx/NWVWM+G/Yp1WThOWVsT+Z3P+ZufKEUWiCwQWSCyQGSBvwcLRADoRbQyiwcS0d7/+Mc/GuBnJcxPBQHKlN5n1i03WywBVbSQaBO396PHbKXYAA2bN9tURc9OFagDC5PkE/DgftQ1AD/l9r5ksSLNH7XZb7vW4gV6tJXmZ+j2TsCj0qKlNiQ1VczPTMdQxG05YENROj/J1VGLPQK3rCwtsY3VNTZZUdBHjBol0CMIdNIWdoVxyUn8UjE6jh09ajkKkkO0dwAz/7qmwSYTcLCupta5oQ8S6DFdDNc2A5U1TGirE2I/wuCtXl9hWdI1HSQ3qzASuU+7Mixxe98qVsPLioS+TvqbLO7jBfJOvuNOSxKIDquW3TYbRiK079IBQmsYoL36CQDNyrCTx07Y3i1ofhZa5549bNSsWdZJc8ApB3667anb5LeWARpuVnDjfUbgJ5IbAfMzwUV7v3VaTjAoZAuftgVEYR4gQNfigoV25OhrNkvR3vv3leanNlEB8zOop49R6bbYtKdAM5gqRSX5Nrg/2pTICYTMT6Akf4l5APATkG6lmJ9VNZU2dRKan2PceyqOZ5vqhgI/mQf2SxuxYGm+dAlftVnS/EzUs8S3ezaWoo60Em3pND8Ffg7sLzkBMZXdPKDyBGOTq/2k0K6AKqWlyxXtfY1NnTzdJk6a4qJXUyK/fZV6BqDyoVcPO83PnQIj83Jm24C+QbT34Bnip7+SF1HXSQsry+wHr/zBqnZsto56D7f3B8T8TOmVoAjkOix01seTQIDl1tYxQO8emWk9O3dzUjRljfVO83Na31TLHKBAfQI/1VtdmRhLbzYAGs5TMD+fljzHo489GjA/pfn5wfSA+dlTzE/Az3AUn1BxWwuA/tvsIdYlVkEhNYZfVMCjYgU8um1iok0e2t3aySQA1GGrH7iCAVDGDDYklUk25TPS/IT5iUxEVhPzc6Je1dENmMrpdKpPtRYAfdewgTZZTE9Yw8XS/HxKAY/Sk3rbPXJ7j5XHhMIqWXtNhJQsAkBpnasv0bfC/kUfC/sZz3CeARHz8+pr06jEkQUiC0QWiCzQOgtEAOgb2I+FA5s1dPeeffZZe1xi/oCfRHvPEciSftONzTQ/3dL0De54cR+z+XZuxAI/S8QG2CLtwhnZivaemiLAjE3rxd3nUq5SVZ179m5Fe89fJPdsbfRyBGDFx8uNzzG+/GZKfiH4WS3ws7iwKND8BPzUyXRbumfjZlpWsszqBZ5NTUu34SMElsmu7JZ8b85pA9iCe3btdOxW+lSmQI+21vx0TDrc3gUqDxUYOGXmDLFepaEoYMJ3/6FOuPYfV0CcZQIF6yWuPyMr00bA/GwDOQHXVwWMbauvsxeffCrQ/NTiPmnkKJt4261ye5fmJ+CnFvmurvQ1HwCoGKCjc3Jse1W1VRfmW3fJX4zIlnu2Az/P5uf6tvpSawDQEFRg7vmFor2H4OcAub1/aPY7nOYn7cmmmLZmzvCTAD/Fbt29yxYunGcnTp+w2YqenZSA2zsHBCGE4Sk3lZ95IEZ1WVe5zpaKMTho4GCblZnrwMIgMA95+Zt/ALHY/AF+lq1eoXxxzxbzc+QYp9focvM8SBgjMD9xe4eFCaM2Oz33rNu71zakWwTPLhftXczPpcsLbNAAND8zm8BP3/0myJP86Cdofq5bt87SpPk5bqwCn6k8dFLf86uzq+YemJ/5hYscUzona5aTafDNVCavkPk5b32ZfeelZ61+V6D5mZE0TAGPMi25R5xjIwbgJz2JdmgdAPpCXZm9e0yO9e7U1ZZsqZCbcrVjfaYPHKn+qjHpBn8wPt5sADScpzgg/sEPvm9PfOObtkPSOWh+fjwnQW7v/aybND9JzFOUEjv6AEA/c80QNy38cc0uK918yG6fnOg0PzvomeOAHZdr8OtKBUCxRfjTnPnJIfeshHj74oRRgeanrtNs79IpGfF0KwHQJ9bW2nuHD7TxCX2sYNtO+2XtFsvuC/NTmp88N5UT4CcpAkADO1wwAC91AABAAElEQVTNv+lj5ybfc/G594/+HVkgskBkgcgCkQWuRAtEAGgLrdJ8YQ/zE83ParGT0PrLuuVWF/E9tnNnLQ6DDY4fBCJYpMASYkNRJubnJrnazxBIlzxMWoZiegTbnOB3C8W/pI/Y6wMI7JLbe/4iND9PSvNTzKTERG1m2yZPAF7Sem2SyyTUPiQlOWB+thdIh03dp77qGdq1gx0Vgw0t1Y0CB6dKCzN1xCgH9gYQEvn5yjPY7AMM7pXbeyF21aYGzc8+ApWdlqrLy1d+QR3DE300P2HUDkpJkbapND8BP7UIDnLzlyd3Qu/yuECPFZJpqBHzc9L0aTZ2orT+BEqezensX65pL/MXi3aYn9vkzv6yWJFrC8T8VB9NgPl5552WmBqME9qRfu2STOMDAO09aKAlDB5i6+b9xbr2ibORAj9ju3Z3+ZNZmB97Df6+XAA0nHtgfv5CdXzsscdsmzQ/+/bsYw/Mers0P7ODarl8wko21bUVL9gWzc9GDkEE0h1+7VWbnUfAo34CCwnMI05Q0M1akUvzrwpslbsu+eL2vqR4sTQ/h8o9O1NRomOd1h3t6DcpzxD8lNs7UeYnT5Hm54gxQTuSWdiQnjLmdgC8ew/AqF1kR187arNy8ixBAY+c5IYAYN92haXYUcBTrcbJ0uIiG9hvoGUo2jtsUJj1vusI0If+ZqD5udzWrl9lU6X5OXH8FBAv5UfH8duW3I1n5avqp0sKlghc3mO5As77q664e/oF6wHV5CqqxgyZn07zU//OkNv7faMyFfAowWl+nuUd0oFaAYAqv00Hd9nLG1fZu0ZlW+WerbawodzS+o1UtPfhrgmDOf2sXd9MADScp2B+/lyHNI8gzyHwM6GrmJ/S/Hwgo791ixX4qaYPwU9nEfWH1gCgJYru/vL6PfbPeYNsftVeK6zfb7dNSrSpQ3q4gEfAreeCO1ciAAoohQ1JBDxC8zM/XxrWeg/m5+ebND8ZP65O7koBkmru1gCgWw8fse+srbN7Rw62QzoM/mnNJksXE/SduL1rXQbwebZHRQBok9mjl8gCkQUiC0QWiCwQWeBvwAIRAHqBRgxPSwl4RLT3Rx55xOrq6qxP376WK+Ynmp+dpPmJ6xmbIl+JfFm4E/AI9+yGjQp4lJNtwwR+Hjt21POGLiw1DAST5mcT81OL7znX4vYu8FPuzD7d+snR2Varaxb+tWLSLSsqspThgeYnG2hs6nfjGuQJCAHwsLqszGprqiwtM9uGjxSDRsAO6dwNk3uzFb/YiLKJ2LNLQRkK8t2OInNWnkTn4+R+H7oRtyKDc74a2hXmLNHsy4qXOS1V3N5JYd8652ut+mdwT8lDHCZA13JFe6+0DAG8IxR93ZWnVXf/6y+HebHh316/0Z770X9aVUmJA5CI9j7pjjvE/Bwm93Rpfgr8ob3PJDZ0rWCAHtfYWz9vvgPKT0oWopOCBoyeM8didAByWhtIMmueH+OJf18OABqCCs7tXa79D3/ta7ZLoEKy3HkfFPj5jsmZurlq1pRJwP46U9PL+kPF1f2CMu/Zs9sWLV4ot9Ljdt0114sBLs1PByaRbXOjXlZW7ksuPzJUAoyrEfi5uHChAyFhKBLFGxDAMcSDy9y1rfkV5smo5PBhzZoyW1ddbjOnZNi4MeNVx2OBXb3V0pnU/cJldb+CT8DCPKy5fW6u5tf4uKa5x5dVm/JrsivzwKbNG51L+JDB0vwk2rvAwjaxq+uL0mHU2FtRVmIVFestPS3DxivwWSArEvQbP70ntKtaVIPs4KGDVriswA7s3W/XzLlWGrWJbn5lPvdh2bDfMM44BFhQUWbfevHXtnHXdleQtKQU+5g0Pwd06+XYw6/P8/IBUAJUNRzcYy9uKLPhvfpbqVzfsxTtPV3R3mnHpqb+q2HxZgGg4TwFQ51o749JnmOv+njvLu3tn6T5ea80P7tpzsVuQVucLSZzeWsA0BUNB+0PK3fZhAHdbGXDIbtzaqJNUMCj9pDw1cnOsm/P5nmlAaDYIPyB+fmZz3zGinWAyNyUK+bnl5oxP5uDn9TIBwD6vfI6AfZdbe3+gzZD4OftTvNTh4u011mzub/eKgYo9olSZIHIAm+uBXzvhd7c0ke5RRaILBBZ4I0tEAGg57FRuOiCgUm09y9/5StWWVFhHbt0senX32BZN99inbt3dW7hMKJ8pcAtU05OWn2uW1tulWJGTpoyxYaNEEgHENkcYfGVqXZQHTt2kov/IbmgFzjNv9w5s+WWCfiJu+u5S+HWZYxtATU6doyxrQ2bFQl9iSX0TRIYmemCSMHk8w5+qo6wzACq168rt/WrV9v4yZMdSNdWdqWeMTGdBAy+6gDefWKAZsuucXKZBkzy2W9okdCu5Nm4Y7stlYRBvNi70+WGTsAMxxzWq8/k+qsAFYWtsfVr19hqgZFj1V8nTJroQMnXb6MuP/dwTHbUocP+7dtt8W/+z1apjkTDjRd4PuWdd0vzU9q4kox4HfhJtmzqLgMAdXZVDbHf6ueft531dTZw3DgbnpmlaO/dzmh+njtM2Lfx3qUCoGE9Q/ATt/eGhgbroeAnH8h6m93mND/DTaGgFuXR+j1icD8ihB+V/QqK8m3X7kbLUfCh/ooUi+anAzC85BX2AWDIdgI6O1nDtq1imy62nj16WG52nsXG6mBJoGib5Kn5umO7DlZVW20rVpYI+BxnY8fKPRv5C5Lf6U43xO09xo35QoEcu3bvsFxpUyaKAR4ArgFQ3/o2dKV3+SEQ2Ck2xhobd9ri/EXWR4H6sjOzHUs7BK389JuzeXJI1qlDjJWvL7flpctsvIIdTZk8RbrRweGS66jh5V5eNae3w1PglFztl9nmhnoFy5pt/SVRcewYwav82RVAEUCto/pqyeZqp/lZ09ggRl57m5k41B4YnWXDeybaEbminw94ow9QnkvVACVfosfveu2APbVmkWNQpknvM2fgKMlS6NAlnAbOseebAYDCWuYZRmC2nz/9tH1VhzQ7d4r5qWjvD6b3sQ9mDrBunQXbaVg1Z36GRWWeuxwAFNC3fYyeN9teta++uMGGJXS1myfE25ShYn7KJICfzCvnG8ZXEgBK/cOfVatW2Sc/+cmA+Sm7ZvQW83OCDvT69HaTu1aEr0uXC4DyPdpj95Hj9u+l622bgvndMbS/3Z48QMxPsZtVrvPZ7s0CQEObNK+w7zVo83tHf0cWiCzw1xZgDJ6bgrXY+WaGc6+M/h1ZILJAZIGrwwIRAHpOO4WTf8j8/MY3vmHr16+32O7dbZDAnUETJljnzl0cezHcoJ9zi0v+J88b8iV69lExaHYK4MHtvKvyTEyUS50YZr7yCgtHnmyCO8gt88CB/bZbm2UWufFJidZTkUaJPOo2Ep6eecEzNdDlogyNOxrt0MH9FhPbxfr26+uiUcIE81nPIE/0N4Oo5Du2bnOBj7r16O4AXsAzEnbwlcJ6omFKFOI9khRgV9ZbLLqeak8YROHm3EeeYX7ck2jvjdt3KLDKIcdMTEhKktut3F1Vz7axa0cHzG/d3ODA8m7qNwkKlkWgF7cN9WDXsH7YqmOnWNsjN/BNJcttq5im1CtRhwPjFYisr15btC39/RIBUMYkY4Do8bs3bbKyP/zBeg/obxNuvElgfZN7tjrP+foP5eb9SwFAqU8IKoSan1tU38RuPS27X6rN6D/Uuae7crHT95VUWA5BiEreKICu3akOFi+gvmfvnmJnCsC6QB0vN3u6B30VYH77jh124OAB69Sxi/Xrl6Q2lou9mIsckvhM6N4y1yFBsWPnDgG9x61rbHdL6huneU+NpXS+dmxNGagH4OdBjcdde3YoSF6M9enVy3rH9WpigPutI3aVSXXYE2M71Y6HDhzU37GqY5K8FVR3mPVtYVdYpQI6t27fIob9MeshJmRSv3iZDpCHMvmup/qr5tcTJ07bli0bVS+zPpKG6BXX0wGu5OerLek3eCW0E6i8onGzLVQgowYFWGI+zUxMtfvl9j60p+RMAAQvmOmlA6CAmE7CQA26sGG9vVy/ym4aNtXSB4j5qYamPBdKbQ2Ahs8TmJ9Ee3/iiW8p4NEOi+/Szj6anWD3pvWzrp1kMxXwfOAn5WYOu2QAlM6ktiXa+69KG+0Vub5/fNYgp/nZXpqfsGVJF7LMlQKAUvfwB8bn5z73OSuQjMtpzbXZOhj53LiRNk4gKIPnfOAndbwcAJRZ7rT6KF1n8dZd9p11dfa2gUn2vhGDrAt9XJ+Hmp/k0TzxRG+rIEihLcjP98Fw8zpEf0cWiCxweRZoPkaDvcSFZtnLu3/0rcgCkQUiC7zZFogA0GYWZ5InhczPz3/hC7ahvt669+5t6WJ9jpdr73GYQmxA3GbHx0MgWAwTdAQX95UlpbZv7x7LzM213tIaJQo7uzn+85fYIknrT/pwuwR8Fi9eZD2VV1qOIi5LWzF0WfSZJ7aFJUQAiar162zdKrEwp061MePHuTo60MNV0Vc9A7u2F+gBMIZ79k4xzTLzxG4VyHtEdnUPct92VRciavV+RXsvWrLEgckzFbyKesOoDTbJvurIHkkZqn8E0d5rbF3ZChsr5tXIsWMUaf6YY0j666v0wLP9lfqULiu2HQ1bZNc86zdggOx6xLNdyS+w6XYFApv3y1/a9ibws/fgwTbzH99vCampDthi6+uG5fkGCma6BADU9VfdD6Buz5YtVrl4oe3ZtNnGXne9DZsxw47J5Z/+fKH8mprlogHQ5qACmp9f//rXneZn/95xdl/2TZadMlqg3RFXM/qQquMlUU9Aut27dluB9De7dOnmomfHCBAlSE8H9VsfeYU93tlVoA5gRUVVpa1cU2qTpBE5boxcpZVf8Dm9rPWpeZ6wvwnqVraqTHbdYlnpOQIG+6q/qh1lT9rRR55hqUO77tchT4E0PzvLrrOy81Rvza+qJxt9ZuHWprCOgQ5kezf31NVL/mJlqY0dPV5MzImaX4/IrnpmtUFbOrsKkCqRXMvGLfWWl6nI6wMHObsytfrqq2frqblAz8rDGn/Ly5bbiWNHFNF+tsXqQOLY8aNOn7MFbPCizB3mRfvA6GwvxvCiypX2X0tesD3H1V/UbDMThtpD43JtqAIeuSBdLd750gBQl6/rk+2tbEe9/aG6xGJV509Mv0mvTdIQGPcCie+3VRT4cJ6Cof6Uor0//PDXFCxtj3Xr1M4+khlnH8kdKPBTQKSWSRcCPyk24+NSAFCu1w3tqA5J/yLtz2dXSxIkvrMRBKmj3qdNgmfrBYyit68EAJR6YENSmaR4PvWpT51hfk7v3cMemTDOxjVFe78Q+Ml3LxUADWYaeTLIVku377anqjfZvqMn7CvTRtroPj1pkAuCny4//fINgIa2QI85TDCLOYg7evSo+6Gf4THDv10fCC+MXiMLRBbwagHWQUjkdJasU1dJPCHxxk8Peebw7zAxDvkJ1k0Xfg6F10evkQUiC0QWuBItEAGgTa0SLq4AP3/3u9/ZfwiAINp7DzGhcqUtmHHzO7SJ5SEAkMeCLVhStq5R9fDQxpRNJJqQpUuLXcCj6emKJKto7zAUnf6mz2eMKzZsKEAPuUjOny/WzDGbdc010vxMcA+2YHPeupqd/XZQx4D12M5qFESqaPFiaVMOU2CnDOeqGTxMtWnyVs+zdgWkc9qUyne6AgGljBih3UMAxvrLr6k7aFEAkL1P4GfhwoUOcEkX+EnAIwAI/3YNFiEwheqkaUr/GZySbFNmzHTAndsQQgnz0ldp0bN2PS430+XSbq0WOzpNUdGHjxyhBZHgAgE73uzaNMRg7jVKy/CPYhutdkyZkxajRdnQjHSb+a53S/PzIliKutelAKDUtr3aco+YnxWLFsrdXexd9aX4lBQbkTbTjgOgU9cLJHUFB6pdDAM0BBVwJ/2lAN6vfPkrcidttEHxSfZA7o128xS5Lysvhgc29plg0hGga96iV7TJlDblrLdZgljnwdyjeY6KeEuBUahLTU21LVgy31KGpgqMzNZCO8YZzOehi26okjfNocoal/d1VeU2bdJMGy3NWOQ2mHt9JwAoJD7YyBcsXWyvHj6kiPZzpPkZzAPu+eHVrqqBqtpR4Gr9xjpbUrjIBg8eajOnpQsYlF1J9BuveQowgV0uQAqX9/LytTZd8854SQoAxgZgFPb3mbCror0fUrR3gfUbdSByw7VvtwH9B7j51a9dmVt1YKcqLKpYZd966ddWuW2TAFGzXh0626cnX2s5A0bYIT07YTK3nIJ7XZwLfJhvOyveVmNF26oFsiba7sP77O4xWda9k4Iu6vnVUmorADScp5DLgfn52GOPS5t4j/WIbWfj+7W3J24bbsOTukgT+ZQ74Gip9XnmXywA6tZmagiYn39eu8fKpP+ZktDZtu0/Zv88a7B1lUs8qaX8+PytBkCpR/hDwKNPf/rTVqRnKAe0cWJt/7+Rw+wDI5PdOGVWaqk+lwKAhgcCp9RPi3fstv+ubbDh0v5sePWo/eOIwTYpvlcw32OkCyQgW58AKH3JrYdkE0DPPXoG7ZS3TF1dndXW1tperaHwwoJlzKEq6zjXDy5QvujtyAKRBVpnAQDNGK0HY2Njz/zgDThkyBBLFclggAgOBMXtJumncB6LQNDW2Tz6dmSByAJvnQUiAFS2DxdWgJ/PPfecfZVo79XV1l2syExFe8+6VZqfAj+DaOhalrIybXkPcpEtGmx2jou5Ula6wjZq8TdN4MrIUdL4ktt7UK6WlsEXmc2Zy9gaBZvI3VpsFizJt2NaXOYp4FGCHmy42rvkrX7cLTAUD8oq6aiWFBXakNRhlpaV5fT/XMCjFpf6QZEu7bc24AJZ0AsjkFRdRaVNninQY+xYAc0Cy7Tobnl7cWm5BVcH4Cdg0lIxamHu5r3tWusTp0AnzfUFvfQbrKq+o/9gfm5QvykVMDhg6FCbniktVYEEbCpcHT23JYARuqmAypXl5TZF/XXCpEnqOzgS+7Tr2b66TSzsvzzz31YujVrqFZeSaj0GSrOsV2+bomBkNKe6V8uJay6CAcqY41btxYTe17DVqgryndbncNm1prDQuksbd0RWRgCAtpBpWKY3AkBDUAHw8xkFPELzc0tDg/XrFW8fynuH3Tw1S3VDg5QtaAAPtr4LBXdAGmLv3n3SiVwo1vthmz1rjg1Q9Gw0P0lUzw0V96/W/iJP9VeNy6paHYIsy7dB/QdLtzHPLbpdf23BnpeXO0BcMA+sVsCj8oq1NnXSNBs3doIDkcJ5//LufaFvBfMrsiJLCpc4DWDsmpSYJICZ4Fxqwzawa0f17XoBggXqr/0FCObo4IXNjJvT2yBP7EqfLF2x3NasXyO7zrBpkojhGemvzzSzsW6KRMyrekbny6679u6wrLRcGzJoaNPY8Nlfg7mVOi6oXCHNz99bbeNWFea00/zsfTrG3p46wSb3TbHX0HN+w34bPOffCABlxuNe6H6WbK+zRQ0VivY+zIb37mvP1ZfY3SMzrUenLkHwo2amOfdP7uObARrOUwBSTz75MxftvXHnbouX5ud7p/Wyo8dP2Xum9bWxA7uZBErf0CaMvYsBQN0YFfh5XKDvC+vEUle093cpH9jMv1+10z49d4h17ig2NfP7uYY4599vJQBKPcL5Zs2aNY75uWDBAue5kJMQZwNjuti0+N72nmGDHJv1jepysQCom+l1s1PqV8Xb9yja+2bL6xdnc/sl2vfkAn936kCbogBI7sDrHHs1/6cvADS0g1ufaa6oqalxElOQDTZu3OiC/QF48jzgGp59HHrwd5QiC0QWaDsLhGMzPGzg34w/WKAAoehrj9Ueaoqe80O11+guSa/wO1zHT5QiC0QWiCxwtVjg7x4AZQIncdr8+9//3h597DGrEKsN8DNH0d5nKuhRl+4KdqLNHgwTXw6h5It7LW6tROtuENPs/2fvSwCyvK60jwu4b2wiIJuioILsO7gmafZo9rbTJZk0adrOTDttZ/6uaSdbm6RNm840TbN22k7bNGlWY6JxYxGQTQVlB9kEBARERdz+5znv9xpiXFguqabfTQDh+773vPfc5b33uc95TnRSkgQFB2MxygeP2S5kVdMC6Tra2yV761bNWJu6LB2nel56wm52kUlPWRtJ1oXg5w4kAQkICtSER9QctB+w3FiaKbDpYFryIV5cUCD7amskMiZGgqEReRpsJe6STD6oWUPeP0HHzo52yQUQSWZZIuQEZrnNUgDiQkzBodd7gF+xJ6iuqJTiHXkKKrOeZJ7ZfdpcH6JfyRoeq+FoZH7WA5SMjIuVhWGLMDbYftZiaej1+egnHEMSOn/jpKWuTt557nkpzdmufvVcAM1PyFF0t7XKoQPtEgt2tq3l+tErDfgLbnEwACi7oq35WQnAcxracD7Aekop7F7/jszw8ZUQgKHHsUm7UD9iHej/CwGgNqig4CfC3smoampqFN9ZnnJX2tVy7dIk7Ve8J1NtyftiW7oC4G1HtvctWzcj23u/rEhbIbO9vPXghXIN5soH/ZUgXQWYn9m5GTLX11/D0CkXQT+ghsbqSJE7BZNQDwKARbsLpbyqTGIi4iQMzE+GLJvsr+orh03qRRL8zMrJkD6EbaYkpIoXtHiP4z6s+ZW2TRYABLBZVVstO/JzsEnxlaS4JGWij878as0DBMkLCnboszImJlYWI+mRVczNA9b1rLnHBeBnL57RWbmZ0ous1cmIkvBhwiNoj15oHA7N045+g8FGuGVzWbE8teFVqWprYu+UZK9g+fyCBNnRWCkL3edIMhISHT4BJjj+u3ChTy6cBEn7K97DcZ7XgrYE+zNm9jzYCJH6Q+2yvrZY7kSypal/BwB04Dz1zDPPyJNPPiHNza3ihmzvX0W299uiveTXGU1yS6SnRPhNUwboxUBh9s2LAaB8D5BUDXtfV9opBfU9cn24h0QFT5Piul55p7RD/hMh8Jc6AMp62F/M9v4DSCtR85Oh3cvc3eS7SHiU0dwpk8eNkbsXBHCCvnB3wquDAUB5Fa5PyADd3tYpf6ppkmiwPW8FyNrT1y9PltTIZ+b7SiSA148DANX2dNSsFdrP9AVB4BZo3nP9zfmR7DOG4M6AVjLDbvk1C2txvjbw8xd1kPMNTg84PTAkD3B8MYEgxyIlJ0gIogQFv/h37qk4Nn19fSUa8mWxsbHKDh0YHm/uWTykW3e+2ekBpwecHhiyB/6hAVB7QcWJnuDnj5HtvQbADjU/U9asldQ1a8CiAVCn4Cc3Ofy6+OL0Yq1AuwST+FDZkbdDGmAzESALw97JpDOdNIL3wzU1AaV2gEYZmzYpQJC+YgXC3i3mp2mbtMdrEkwpQzb7Qix2A+eHSBxAXmZkpw8sUMeMT+060h4zSFObshqga3xqKsKzmSBHOQwGN8tWK1t+Ha+an1lbwOgAuJIKv1K/lQsG0wsC9Sscx/5TDTApHxspMmpjExPh64F+te7PxHfapD3WR8Pe0Z5x6K+hyIbO+lrtaMIS+ynHF0AdAHT762rlXWQYLnGAyh4hIZrt3Q0hORWQUegF2zb2llsAbDuYyxe6BfZH1KEdbNnanGyJXHOzuExCuKaCb5ZdthXBz4ONTVKGjdlkgJ8L05fJhMlTwJQ+IqUbNiIJko/MRx8eKQBKUIGbOjKqXkQdyfxs2b9fZk93k6+uXiPXRCTAC9bm9eIAy4Uq/uHX6F/q/HYArN+aAeYnNDBXr7hCQ5tOIpHIB2Pyw58b7m86zoEmccyXV5YDwMqQwLlBkpwABjiYBRyXFuDKecBM0UMQtDV1AXcU5cPuXomNAvi5YJGDPWf1MTPWrKsQwHIBSN7V0yVbtwFUhp7zimWrNJnUCT4/9G0m68i2snSca2sZ9o55wHeuJCWnKMvWGpfm7PH26Vfq9fHaeTtyZPeenZIQkyzh4RGOcTsKfoVN1fzEM5qSCT3QVF2ZukpmQ7+VIKwFKpupJ/vqOM4B6Dtb9hbLL957BeBno/ajRK8guTcsTfyQ4OkPe7JliYefJPmGyGFEb1x8fLKtzg+A2uDneMwHDHvfVF8q6X5hkjBnntavsadD1tcVyR0LP34A1AY/OU8R/HzkkQcRrtwN8HOMfDnFXb6U4qOLi59sbJDbo7wk3A9SIWCD0o8XKvT1hQBQvk7wk2Hv6xD2nlnTJXfEzpalvlN1viisPyTrwAi91BmgrAd9yFKAA1lqfmbjYI3P0lQAjw8sCZMFyPb+691VMgOJyu4yBIByJHLSOYV5N3v/AXmpukmWzZ4la4J8ZSL6WeuRPvmFAwBd+jEAoPbzjj9LETnC9fYerCO4BuYYJsOMEiFklgUFBSnbzA3RMwRCB2qEslrO4vSA0wOj4wHOV2RfEwClhA8PKmqxPyU7ez/Wp5Sm4JhldAmB0GSQAVKxx/L29nasATDtXGTuH507d17V6QGnB5weGJoH/mEBUF1gw1d22PtDDz0kZQjDmQ7Nz5SbboLm5w0ycTLCzc4wd4bm2PO9m3a5wTqObO8MI2aSpdiUZAkBOMikNXx2jMYDhMAOM5JngPl57GifrPrUVRb4SQYNNhomi+5dcE3WpRIMRSYDCgwOlmRoRXIx+wHoYc4qF/zKUIRfdxYWSiXAzzhofs4n4wttaLqOvHO2JTU/NeERwt6ZPCplxXJxc/fQrMimbZ7xK3xbC4kGW/MzNjFJ+wxfN7324DXHIcSQfbMAGWup+RkP8HPhYjA/AZjBC0b7q7Yj+mobFlxvYcNdlpenCzI3gLzRt98mXmDy9gMMqYaUwmEAoDFrDTFAYVjHSEODVGRmyGSE14euXKHZ3rlpo05u6XsbjACgdngfmZ9//MMf9eClDQtNn1nu8oXUa+SWuGV0K/437Fs0JsFP6q1tBljfd/yIXLHiKjA/vRRMsuYdc3OBznXokJzvKqsqZFvWFvGHNuUyJK0hwP3BPGDY5jhKBojsQoKl0rI9Eh0RI0sWLVH5CwJR5gsPtMbJoZ4eaFNm4OchWZG+SjxxuHQC+n6j4Vdek3ICdfW1krWdYe9+kpqYou2rQLbxOZ115OESgJzCXCkpKZG42DiJiFiKeQ/zK+7Hqqc57xJwZfjr4SOHwajNxOHdAQWV58z2djBq2W/M9B3tq3xmYdxlVO6SJ9a/LLUHmvXqiZ6Bch/AT/9p7tJ3ol9eLstVADTRCABqgaP0XUErgGyEvSd6z0e29wXQUrU0apt7O+Sd2o8fAOW8x/siA+j555+XRx95RNpwgOqBsPcvJ7vLPydb2d6P9J2UxzY1yG2GAFC2hYKf+Lm+pENy9/XIjRGeEhU4Vcb0Y/0Ezc+CywAAZT3srzw8x7773e8q89MCP2fJD5eEarb3k3jfr/fUynQcUJsAQO0hgZ4lee1d8jwSHsUjzP0OhLtPxDxFfdH9R46BAVqtDNDRBkDpA/YjPveY9f5Pf/oTGMSUlBBllIWHhyubLAQHnGR7ElwZGPau/UHf7fzm9IDTA6PtAfs5znHHuYpfXKvWIRqLhzg8wGhHFCH/zgRJCQkJcvXVV+vhhX1v9jXs350/nR5wesDpgUvNA/+QAKi9sCf4+frrr8uDDz6omp9TwPxMBaCSgoRHE6D5yVBmk+HLDG1X8BMaigU78qUebLR4sMmCQ+YDYIE2JYrpBweeYVhMkvl5QLLBmiNrZsXqVeKGhEcnsHE1G+5KUBB1cGy+q5DleUdmlsydF6wMV4ZnM2nGaNikXwmoFCEcvBZ2o8GIDAkNBdBMAMK8X8mCcpmABDIdHdD8zNBT0XT4lQt4+tX2gakBr35FPQjy1qLf0K9+gYFg1Cbr3yzGlylr1nW4AKJOJPtmQW6OVOwBky45SRZhw3JCEw+Z9SvrOM4R9r4Bepi70F85Bhn2Hgmmp+f8+Uh4dFz7UNUZAHTtGRbnBWvPfgnfnc0A1TGODkLws6upGdnet8lELOoIfk6YiAMQHhDgcyfA6CsxAIDed++9uilmmBE1P5nt3dL8dJN7l98gN0LzE7t/fJkFP3k9gnQ8wd+SuUn6kEV7xbLVMsebYcRk0hFI4peZwr7DMFiyeyqrLc1PX2h+pian6wZ3tMBPjg9eu3hXoZTs3SVxMQmyaCGYyuhHBARMz6/0KxmKXQh7z8zcJkchabI8fYV4uHmMml/ZShyXdWBIZ23PAvgJzc/kNA2FJ9vUYkWaaUdeRecB+NVOeETmZ3x0oiwF+EnNT/Yb0361wc8jh6H5CVC5o/MAEnRdAbAezE/MASb7q91X+ZzYWr5TmZ/VjrB3gp9fQuj5vBme0gcwm/f15705RgBQPeCA71zBHM7bXw3Nz1KwPheA/bkQshTsr9A9xZhtPAQG6McMgNprJDI/n3vuOXnk4YfkQHuHzJxI8HOW3Afm52TM1fTZETA+f7Kx3ggAyrawmZ/v7IGedm2P3BzlKUv9wfxkrjt2SADxlzoAynpoXXC7u3btkm984xtnwM9EMD5/FBEm4TNngKIJ7Wwcyvw39DhNAKBYlmibUPMzRzU/62X5bHe5GczPSfAbAX6O1Y8LAKUPaI/PO4a7M8EomWWco/z8/GT58uWSnp6uQChBTxbbb/wc32f/ri86vzk94PTAqHvgXGOOzwQCodTtJYudDG4epvPAIiIiQq677joJxZ7LZmybXhOMeqWdBpwecHrgH8oD/3AAKCd2flFonQmPGHpaghMtZnsn8zPxmmug+TlVw5ZMbiRhEuAn9KwQWlCcny8NOE2LAkg3b948bCy5SBydfkdgsBOndVlgfhIkS6HmJzXpRgv8ZD1QGWp+FiIM3T8wCEzMRDDpKCVgvp5sS2V+AsQpZiKp6mpZCi3M+UgkxQc2y2g8iDWBDB7+eQAiyWxgJnSGbI0G25R9h4AqXVsD5mcR2CT+wcESCQ0ebhr0dcP9h9ck44tgQyHs1VdXSXhcnCyECLpqqRr0K0wRR5JxCAHcX12jYe97oPnJrOseAD8jkIhs9gK0J9l02BARzKpEWLzFAB0BAAo9Iz2UAJjU2QDmJ65J7V8mPJqATJe0A4M6Nk0AoA8//LDcf//9uoj8HTQ/n3j8CWloqBefme7yRWh+Xh/JBFbI2s32NjohWOBnO8Pet25BQpE+aH6uQmIeaH6ijibBJG1KdB7ePg9emNxi+w4cgiBZTQrC3ikpwuRk5m1a4dlMHrezBJqfFWWyNDxaFoUi7B2AKP1p1qfcqIOhCICq51CvZOaAUXukX1KT0jTh0fFR86ul+VkDzc+8glyZ4+UjiQk4BIGvORda3cbcZGDNr2P0UKegME/2gFEbEx2HRFIR1qDF99HwK0HlXoBv2XnZ0t3VJSlJKQDrfZRlb7LvsH68HkO2N5cVyX+//7pme6cHGfb+z0g8FDTdXZPw8D0nwco0AYCeRN/hAQF9lw/wMxe6nzGzgyUeSY8UpdJJEWMI/avhYwZAbfCTzM/nnn1Wfv7zJ6SpuUU1P+8H8/OLid4yfYLV3/jsPdx/0ggAepoRBWiLYxivb4H5WdTYKzeEu0uU/zQZh0c5j4X0iX6JA6DsU/bag4zHH/7wh7INB2s28/P7YH4q+Mm+hzqdRB/471ITACiia6yHB8DPDvljTbNEeU6XO4L8AH5a+vUEQDlJfBwAKP3Awnq/+uqrSjbgv9nnmUjlFhxqMoyWUih8L/9uf/Fz/LezOD3g9MDfxwP2+KV1/tv+nXMbDzHIBn3vvfeksREyMRirZHDfhD10ZGSkHlzwc84xTC84i9MDTg9cih74hwJA7UUWT6PJ/KTmZzXYdNT8ZMIjZnvX5DyY4E0y+GiXQNUxsMh25ORKPcDPpFRqfs6zALNRWudxU2xpfr6Ph5cIGYruAHoJElibSHNdktenz3jdcjAFme09AA/ExA9p0pmzxyvRJu2RmVSQlyNVZeUSn54m8yEnQFCSZTQewONx4nmwA7pkmzfh+iIpy6H5Cb1IMiVN21O/wgiZkdUVFZKfmSn+8+ZD8zNJFxlWn9aqGvtGm+w7BHNzEQ5eWbZXAV6Cn6MS9k57AD/b6urlneefkxLoGRJ8dGc977xD3AKDNFuuBUayvU+MGABdCo1f14mTtc8ebN4vezdugOanm4RBwsAVmp+n0JZwsLYvHWsCAH3s8cfls5/5jLzwwgtgVD2s+kpe1PxcdZMmPNIGRH+yoG4zzcn+oQmPwFTesu19HPwckytWXSleCM8mSGf1V3MTEO3ZzE9me8/I3iJB/kjmQs3PCaOn+Ukghv22AJqfZeWlEutgfh4H2149yoFqtFjMz4PdXVYiqf6jsnL5leI+y02Ty1nmzNm0/UpQuaq2RrZnZYqf/1wkA0pRkIyJnczPPWQgklELzc/87bKrdCfaMVXCl0QoqKxIvcXJM+dZNCLreATRGZsy3kf4NTU/Vzs0P0/ofM/2NFHUp3h+UHuTCY9+8e4ryPbeqNVK8AqE5meqBAL8PEEA3WHTBAB628JEbSvazdlfKZuh+ZnmGybJCKm3E3RZdbQYoB8nAGqDn7bm56OPPAT2bZe4gfl5PxIe3ZMyRyaPt/R16RL2ORMAKMPnWfoJfiK5UU5dj9wW4yVLoSk6Fo9yW1P0FAf5JQyAsk/Z4CeZn1//+tdlO5IG2uDnAwA/F5H5ifcxFJ0+xKphZABoU5s8Gh2GdsEzG/05u6VdXmS299ke0Pz0kUn421i4jaOGCZH4r48DAKUf6I+NGzfKSy+9pH4hqWDZsmVy6623qr4n32MzP03PX6ypszg94PSAGQ9wLA/8YhK33bt3y1tvvaURlHyNWeI5tskEZXGOaTO+d17F6QGnB8x74B8GAOXkzMKwd07Y1PzcAz1Dan4m3XgDwt5vlIlkfQH0MQt+Yr2OTSQ34kUIe68D4Erm50IwFI+DDToaDwhWdTw2Kcz2nrV1m/QdPSIrr4LmJ5ifJxmerbtzyx8muhTtEYjkZan5mYvNeUBAIDKhIywTWn+jwXBlexKko5bq7uJi1fyMQlbyBYsWa9gyd7Gj4Vsu4Lu7uiUnY5uyeVNXrgDz091imcEHisKYcCquQb/Spwwpqa2uVubnHISNMZEU72M0w97JVN6ZX4Cw91KJhsZP6JJwZUua9qvdjq376mU9gMFSAOcEP6n5uXTtWvHGQoph72QGWe05UgC0GkmQtmsSpAlTp0h73T7oiW4XV4z9MLSlC0BRTaoEx+swcbSlCQD0B2ACuYFhyizALQBdfd085fOpn5JbYpepFfqC4KGpkcnrUfPzIJjKW5Dw6EjfYSQ8ulK8ke39mCaf4G6YX2YK7Wl/ReKNyupK1fycO3euLE9Zac0DZxjgZm1y7qHtXSVFqvkZuSRKwpGVnJnXWczPAxYw1XOoB9qU26SnuweM2ivEy5vMeoB0qB48YcapuIrlV0vzc199nWRs3yZ+swF+QouXTMnRBD8J/hUW5kvpnhKJQubXqIioUfPrmbB3aH6S+dnW2iLLl60UX29f2KRfOTZG7ldegUCaPrMw2LZB8/PJd/8K8NPK9h7vGSD3h6VLADQ/+0/B7gCbIwNAq6Suu03uXJSiYzwfrM+s5gqJBfMzxRcMd7BLrcFv1/HjBUBt8JPMzxdffBEJjx7BIU2ban5+KXGW3Muwd1cwCeEztoUW/BgpAMrr3B4LHWIkgFzPsHeAnzdGeEh04DQNe+d4YhtwXryUAVCOUxb6cQf03R944AEN+yb4meKOeX8xmJ+zrLB3Arr0IAHJkQKgbwEA/WlMmEzAeigX2d5frGyUGI8Z8mlke6fmJ46GFADlvX1cACh9wS+yxJ5++mlN9kf7DJMlS2wSEhCycB1jfn7WSzu/OT3g9MAoeMAe2/xJosle7KNJKKI2KA8zmB2e7G5KXLA4x/coNILzkk4POD0wYg/8QwCgnKhZCH5Sg+ghLOyrwKabPH0GmJ83S9L114MNhnBY/GctS7k0HXnhHoEh6Ay3J/jJsHeCV8Hz5+km0rJixpZ1t9b9ky3Y1tKiyYe4gV22ciUSHkHz0xF+ZA70sPxq66QyQU4ewogDoNWYgMROzIoMDoBRn9qtoqAyHr7FCLOvraySKIB0IaELrTrq1oLvNOVb1pOZyREqDVB5+7YMPPhPSNqqVWAxzNRFgA3O2fc3sp+WX+3NQXVlhRRkbwfzM1hiwPwch7Bsy6+0Yq6OvJKCyjjZzYO9asgYxCIcnJqfPO2lKXPjw9FXGfaOQ4ENv/+9lGTAr6eo+RkqkRiXnhgnJ1VrdCAYOVIAtEbqkAU++tbb5RBYkeVbN0Pzc4ZqfrpC8/Ns5qfdjsMHQPMl5/nnZTzmoJTUVOg21mniM28wy+5dfp1cG2W1J6cokwtFzj1cjFKsfmvmFkgZ9MkyJObRBDIE6RQ0tGtn5if7K4ERJjzKysuQuT7+qvmphyAABcBDMmNowFU4DzDRUPHOItkD5mdMJMKzQ3EIgrlBCx1hsPBymu0dzM9t2dD+hebnsrTlYNZD8xOHXGMxNk0X9gvKUTBaYTv6rh9A5WSGvQPcoIQDOo5pk8oqpTxC3o7tCHsvkfiYJFmCbO88INRi2CYvx/56qPeQZG7PkK7ug7IybbV4enoNeG6ZqqYlCUGvkfn51IZXHeAnwt4958mXwpJl3nQP1fwcCH7S+kgB0H097fJZAKBkfm5r3CuJ0PxM80NiN4wPPCrPKh8fAMrxwvFrMz8fe+wxaWtrA/PTyvZ+T9IcmYKwd94jxzh9p7eLf4wEAP1r0QGMpzFyAwDPt3Yz4VG33Ao2aMTcqTKOmp8YTrRm27tUAVB7jcmfO3fuVM1P6uTRr0kAPX8UHqYJj3iqaSldWk1tAgBd33xAfhIbJnltXfKcMj/dZG0wwGrOx5weBvSqjwMAtYH02tpaeeKJJ6QDz1n6YSXWoZ/73OdU75NzGvubszg94PTA5ekBznUc69xXkgn617/iEBFEjamQkEsD+WXNmjUyE9GVLCbXtpent5x37fSA0wOXmgc+8QCovTAl+Pnmm28KdfjKAOy4eXtL4nXXK/hJzU+yT0xmCLbt9sEuGYr1yGodA5AuGGG9lpYhl6UDl6Yj7xqnUAcWhmdvR+gyQ93Tly8XDzA/T3BzrgtOcza1jrBJTb9qgJDUigwIDJR4gGbMjs4tkkmfsm62X5mVvAQbjbqaKtX8DDmj+UmwzFwdaZN+5TW7Og8i83oOQt2PSxKE+2e5g/lJUBkgzEc3r/zk8IpVR8DxADfqaqqlGOD5XPg1ElmXXVxd1Aem63iaG3AUMgN3FxZKXXWVROAkd2FYGPdsWkzapL3T8GkLNknvACD8QPMzRJbetBbZ3kOUCWqFvVv2HXeh42dYGqDo/wfgz1psTIMA0O8rLNKERyFg0lman/AB7ulc3Wc4ACjvt6GwQHJeeF5O4hBkIg5ZKJMQAAbmF8D8vAman+PAluQ8oKxzh5+teg7jO7o924q+JXBAgfqMLIB0x6H5CfDTCwlktL/CprERojZplMdHIlXoN3kFOeLn4wfdxjQVyD8NUHsM6znS+tkuoU0F/kQZlyV7d0Lzs1yWgvm5KGwxXgNIp+3IN9ofGsFPrSM+z/kV1yXjM2dHtoZppyUtQ2IeyAlgfuVBkAXVjMCW/dEBfuWf6vbVyQ5ocPrM9pHkpFQ9WCNTeixAUFN1pB2dB1DHY5hfd+8qBvMTmp+xMbIEjFq1g/vSecCQXwfapDRNDkLtu6D5mZqYKr4+vppczmQdrWcWbh5tuWkvwM+Nr0plCzTM8CeGvf/zwlQJZtg7+tC5wOzhAqAc40x0VAMGaJjbHMneXwHNz3mW5qftWDrjQ+XjAUBtwMrO9v7YYz+VlpZWcZ80Vu5LdpO7E+bItEkfBj95m9oF0B+GA4ASyAS+Ka/sPABw7JTMnDResmp6FAiNCQDzE0ONM6OOY/5Eob2RAKDdfSfkISRreja3G/15sbyB9WBAQMCIn6fsU/YXNT8fANN/KzQ/Odemgvn5fTA/l5D5ifcNBD+1TvDf8BmgY2RjY5usAwP0prlz5NX6/bLUbZrcQeYn5ttxsIfLf6h8XAAoI0ieeuopycOakAcbYVhH/Mu//ItMnz5d5w8n+PmhZnH+4vTAZekBznt8fvRj35CDvREJRvv378da00sB0BUrVui+0+Te4bJ0lPOmnR5weuCS88AnGgDl5MyJlxur1157TcPeK8D8JNiRCoZZ8g03aHIeawNg8DQamytu2vRkrHgnGIqVyEqeIEEAPwlEWovSs5emI+wbqOtYhLv2HOxS5udRAC5pK8BM0mzvFuOLmzBThXAHN/tkDNYhcU0umJ8+/v7Q/EzWzbmCMKbZUA6/sr12w6/lpSVgRCKRFBLkKLDDyqG9TRb2IWp+HkH2w2xsavqh45qcvkxmarZ3C/RQt+pu0IRlq8+ORzKcfQAHyaidi01adBJ042DDNFBv3TH6DvortVSLduRJeQk0FNGOC7BpIXNDPWrKr/Any1gAuQexUNoAbbDdmZkKdjLhUdRtt4tHUJCl+QnLHzU7PAaoJjsCUN3Z0Cgl696WcZMmyvTZ3rIQQPaEyZMt2QQCWOfpPkMBQLWK7KvoNw0Ak7c/8xs5gQ0hi/vkafKVlTfJNUsT9Xduii3w8zyGrXcN4rvlV/ZX1/Gu0gXtxMysbWDUQUMR2d49PWaDKUmGopkwYsfN8/axwAWbB76tr68H23Sz+CBZDcHPCa4TlNH7Abg70jrSqgU2jMcGnwB6SeluKSnbKZFMeIRs78fBBmWxLJmxx+vpPICN/GGGZyPzevehLoDKYNY7NJU/WOCbsWm1pqAtXaSxuVEywTb1Rbb3+LhEZX7qM0tj7c3Ys+vIeYBXLNpZiOzVRRIbnSBLIH9hZXsfBb+iPV3GugCkPyYZOcj2DsbysrQVMhv9tf9Ev8FDO/Ybi73IxELba/fILweAn0x49KVQan46NFwdPYh+GViGA4DyWUm9z8LWfbKuphjZ08dLks9CSZozH4xSu6UHWrH/PfoAqLX2gY4nEk799re/1QNiHpww2/tXU9yg+cls79YBn838/ODu8C90lqECoKwx5+OTQAPf2NkuG8oPisdkF1kT6SHh0Pwch/OLs23RJj93qQGgnBfoQ5aioiL55je/qZqfXI8w7P2BJWHQ/JzOCeQj4Cc/M1wGqPKw0adyW9vlwZ1V4jdlgizz9pAbA+dA89PiLZP9eXYZCQB6Ctd9rb5RvlywS2Zh/UMt6xuwhmb9bUCT/uBXPhJ9Pvnkk/pvssDol8DAQF2P2+89+96cvzs94PTA5ecBew7kAdqGDRtk3bp1GvUYDcmc22+/XSiDxPLBGunyq6Pzjp0ecHrgk+eBTywAai/EGH7+9ttva8KjMmQkdgXY4QW24AIAPGR+nmQ4KDZEujsy0L5ccxIM4KLwIEJ/2sGkmIYFoC/AwZMAP7mKN/0gYF0JRDLBSXtrq9r1AWjm7sGER+AXACjQ7J8G6sdLcEOn1wQI0YuHXltzs4ZIBy0IQcIVFwWzjDM/YdMK/QbD9eBBOQCbbL+A4CAFP0fPr+MV9Ow4cEA6D7QryDuL2d4JtIySX8fCr1xMtEMD7/jxfgkKWYCQVGj9kfGFTYipvsq2ZCg9WYhkuXbBry31DTKZfkX4ubLBDPZXjg2CKxxvR8DyasAmqaqoUPvLrKBggJ+3arZ31fykb/nmj5ShA6AYHigAeQFg7d+7R3a/vU68Ae6G4oDAddJkK6z3vPasGxgaAGqND4YL73lnnZS+9aZVR+iLJnoGyhULIhX0pM/PxTL7SJUH+QfOAwR3yL5pO9AmzPpOJqYnmJ/sRwQVzuPUQVr48NvoV84DrMOh3h6wxprkKA4IFgQvsNiuYNGpAt052/HD1xrsb7Q5juH7wBy6EYbe0tosE8CsDQyc5wAiLN8P9nqDeZ/lVySxw7Oks7NDWjvaLL96ULcQfmVov+E6sqnGjhkHYOqQtLa1ytFjR2R+0AIkkiKofELnQu3Wg6nAIN6jzxCCynAw59em1kaZ5DpZQiBnQjbk6MyvSICCea0fz+CDB9tlf+t+SDT4glHrrYxa4rum+iuBM9VdRF+t7j4gb9cgeqC9RftvnIe/fCVsGTQ/3eQYmZ8XaMyhA6Dsj9bBynu1u2VrQ6lcPy9GEpHwyAbOzt95hg+AThznIr+rzJVnyrMkKDAIbMc3NEHFQLCK/+b4tTU/H330EYxhS/PzHmh+3pcM8BNh77bm59ldXPsf/jhkAJSDGI17DPafzmyWnU298uVUX4kMQMKj43wenbsFaG+4ACg/23f8lPzovX3yTE6XEQYox4rdhufS/CTzM8LB/CSb9Wz/4U/DAkBZFwKZp9Cv3qhtlif31soX5vvK7cF+0AG1wt7PBX7a9ngnQ02CpIArni1v1jfJPfnF5wRA6Q8WgukMfacmIP/2GST+ux4yUyyU7XAWpwecHvhkeYDzIMc6ZS9efvll1f71APmG4/7KK69UFjhrzOeNszg94PSA0wOXggc+kQCovRBj2DuZnxTzLwf4ORlAZMynPiX+EUs1bJvLNU7IjnXbiNqD8zrtcoHXDwCC4dm8fkRUpLiCCcXkGKMz+WOTBGCHAN3e3bvEw3uOhCITnzIssJkzVb+BzuE1CaZUV5VLY02dLIqKEu85c5CQqF/fxtcZoWqifOBXAoAnpASMOjLZlkTHQkh/osOmQfYubtq26QIw9yAAjz1gm3pAMoFZ0Bmud2oU/UpNwxowhhuhFbkYfvVEKEk/kwChN5lsS7uO7K9kq+xEsgL226iEePh1sgJm3CjxP0NNqXWgT/ejbnlvvCE9zU06ZjxxIBFx403Q/IQ8BO4F6KC2wbn7z9AAUI5J7a8YIwebmmQ3AMkTALKSP/d5DX8/qdqmF7Jn3cVgAVBlmuIwgvWoBrN1D9imR3AQ4jV9pnw2doVEePjC37qddPQzQwtCXIbalB0HO6RoV4F4u8+RMCQEQ/M5DiQ4P5mxxavoIQhADPafKug+7WuoBgMzwhG2DLYr3qR97JQpm7RIpjJ0hTEGd+0uhqZzr8REob9OnqTzq7aUGj13zxneX8GoRZ/t6umGzmiheLl7qSwEB4Wyo1E9U3617o/9lXqYLlJTUyO19dUSvmipeM+erfIUfA+GB+Z3Q37V+7eANtanoLgAfj0scWB+Tpk27cycbjXm8Dx49qd452xLF9Sx90gv+mu+zJg6A9nlI63nFlnnnNLRX0c699i2CNKTiby1fKe8uidXegBc80AtwTMIYe/Q5Z7hiQzkOAxlx71AGQoAqv0VjUm2ct7+KnmjulD8pkL7d+lKOXHaApV1oJzX3tABUNrkIUgfnsW/Kt0sbzXtlaDAjwKgNvjJ6Jhf//rX8jg0Pw+AfTt9wlj5WiqYn8nI9j4g4dG5vKJtgxeGAoDq2gztwGzv7yDh0d92t8vqBTORBGm2hr2z2fWg5hw+ob3hAKD8HM4SZHfjYXn4/QZ5t/zoiAFQe41JP1Lzk9neGf5OWYoEMD4fCF8kS8j8xOt2wqNzVGnIAKjtc0DXktPaIU/trRP3Ca7ycGyoTAOzmOV84CdfGw4DlJ9h+/fh+y/3VMpjFVXnBEBtMDgLUSu/+tWvMGWM0UQo3/3udzXjO3/nl7M4PeD0wCfPA5wTefi+detWeeWVV3BA3S1Lly6VO++8UwIDA7XCzvH/yWt3Z42cHrhcPfCJA0A5CfOLzE9S8X/84x+r5udUhOwkA2Rh2PskhMDrolgXY7qkHFn78TqwSWYbtSkZRlxbU2slPAJDEWtg3Xxx22e6MDy7s71DMjZvwubxlCQtWyYeHp7KTLAeNoZsOuqIairoUQFAuRCaL3MD/DUM3cXVVatnhbsatAkklX7l5rw4v0Cqy8skMi5O5i9cYLWhLs0N2kMDsf8o+NlxUHIyM7CpOaEZ7WfOchsVv9KehvxhudODDAAAQABJREFUQ15TVSUFyEruHxQkUajnOG5qUL3R8SsSyBw/KYXor9WQhoiE1t+CsEXqUQU8uFdhg4+kOPoN68C+2oqs6+tfekF2Y5N0HIslF7BN4wFGBsXH6+82W+r8JgcPgNKvBHDHApBk6HsVMsz3gXnKvhp7xx3wrau2tU4D5zeorwwGANV2BHuJfbUOtkqgMXcEerxzZrjJXenXyJroVM3azQsSaBmhZx13zPnO8m0ngNYtCEGn5ufyVGh+Yh5QH6CCZmxZG2GCEAx7HwcwsryyXPUw/XznSlJcMsLewQCHMbwMm+xAIy+8Cm3ycOAULr4T2d737C2VyAiEvYcu0r9ZbWjGnn3HCiYBOO/pOSQZ2Zuk7+hxSUtJE3d3+BVzLcesSb+yHQn88UCrprZacvNyZM4cX0lA2Pt49GEW1tCoX3E1Mu54sFOAbO+7SndJXEysLFkUrmCF5VFz9dRK0CYYin19RzWjPRMepSSmiTeYnwS3leRuoO/Y/YZ9dfzY8bKprFB+teE12bu/ToFWv0nT5T+irpJIj7lIeHRc2crW/Z3/+2ABUPYdBV3xc0drreQi6dEYIEkek6bJbaGJg5xWhwaA0qYrnpW9YGFvqNslr9eXSE1ftwQFBqre5SIc4NkgFdcGtubnT38CzU9EjrgiGdGq+a7ys5vmi9cMzI0nHc+l87hD+z6cPFgAlHMRJwYFP0s7Jb/hkLZ1pN80uTHcXZmm1pHbuQ3S3lABUEY4AIGUtu5+eWpbk2yqOiTlB07KYmiAUhN+OBqgrIftxwJEMXz/Bz+QLVu2aLSNn+tEeTJmiSRDFxidTHVM2Q/PVwguDlYDlO/l2OfP7S0d8nLdfjmGNpqBRILfjwyRqWh7+uhi9viOwTJA9Xpos2MYl281tMnz1fukoKdTpmE9/eLzz8sNN96ovmBkCv3CZIkEPzNx+Mc11F133aUMML7mDH0/Xy9w/t3pgcvfAxzj/KIUEhMiURPUG8SRtWvXyvLly631hLVQu/wr66yB0wNOD1z2HvhEAaCcfFnI/Hz99dflx//1ILLSVclUMD/Tbr5FkkHHd0G4JDdZJk+iaJcbVJ5+FezYIQ21tZoIKGgesliT7WV60ueDBvWkzfb2A5K5abMuvpddAa0/MAYthtmFlsHqpiF9szd0zDBfgdCm3KxsZCWfJ0mpKY7wbLM+1ZtjiDAW9dRNLYJfq8rKJS4tVebND9EN7JAqMJg3O/oP69gNLdXMzZv1gZ6Mh7eGvYPVZzy0n3UEQ4iyCQR387fnSMC8YIlNhJYqNhXcaJnsq2f7lRqjVUgKlpCWLgsXW2DSAARrMF674Hs4NtgT6dOWffXyLnTDNOERQMIZ0AZymTxFllx7rfiGL5HjR8ExQZ0vXAYHgKpdjDuGvXc2NMjeTZtkKkJyvIICpRFabRHYuLlOwkEI/D+YclEAlEA9xiOTHNUS/HzjdTmKPjQHoPlXVtwk1yPhEceQNUdxm8/N7EiLdT0XgOQd0O3bmrFZjh7pk9WrVou3J8LeHXOPGVuOe+UYQRsxDL2yulJtBvoHabb3iWAinXDMrUZtwlPWWDgNbcoCKavcC+ZnrCxesFi1KelHs/ZYV4B0aE8mPNqWuUWO9PXKyvQrVFOZzw9aNGpT/ToGAPk4zfaelZ0pAf4BkhifBCBh/Kj4lX1xHEJmWZ+cPCvbe2JsCjQ/l2DesXon68gy8r5qXweHS5jTD+MZvTVrk8oYEKyfg40S5VqsowEz9rR+6KusQ0bFTvn5u69Ibft+nVPngYk5d8I0uWdJuvgg9J1h/laLWvd5vu+DAUA5zgl+kmHKbO9bGvbIsrmLKJQg1Qdb5XZkmbfmgfNZsf8+eACUNgl+HgUA9UZ1gTT1dkoP5rZNrVUSFPgBAMrDGY6lXmhaP/PMM/Loow9D1qFLPKaMlbi5rrLQc5L8a7qfTJtILdgLe0T7BJw7GABU6+sA0t4uQbb3+h65E6zPmraj0o++dkeUlzY62+p8hfaGAoDqe8db4Ofv81tlKhit2/cdkjf3HBk2AMp62OBnMZJb/vu//7tqfrLvRk6fJv6QjfiP8AUyb8YU3qy2+fnqw78PFgC1wE++f6xkA/z8XXWjXOXjIVMxN7yDJEgPx4TKFAKgcNIFfagvDg4Apb+53jmGfvQqQu0LO7oRzTRGXqjdh2iqGfISNUAdAKi9RqF+7A8ACB9ARJIbpIKYdJQ/6Tf7PRfyh/M1pwecHrg8PWA/07gPfu+99xQEZU2uuuoqBUGZBJTFOQ+oG5zfnB5weuDv7IFPDABqT74EP1Xz87/+S5mfPKlOAvMzbc1NMmHSJAUHTZ5Ec8E5FgwDhrgXA6SrQZbpmKRkWQg9zP5jSJKDBafJCZ/2yCwgm07BT4B0fQCOVl9zNZhJHlo/ZQsa7FgDF69dXQflvTffEh8/P0lEAhmylSzWzoWW3UO7GauO1uacIA7Ds6ug3RgVnyCh2JwTZBoFTBl+tUCPbrAEsxHGwZBwgsozme0dNrm1MGnX6rNMJDUW2d5rJB/ZyakVG5uUomw3hlObtMdW0P6KjSiZGsVgr5SXlCDsPUEWL42wQA+8wWR/VeYe+kgrslivf/4FKQU4SPYcNT/DwcbejyzTs5H8KDA+TvqPHDUGgBKxUeZnY5NUZWXKBDBNw1aukJ79LVIN0DcKSdBcMB+ozukguueFAFANeweAzXD6Wpx6lwL8PAIdRd9ZHnJ3GpifscvQcwhWci4YhLFBvoX9h4BZJ2xtAfjZd+woEh5dgXBpb5VNIPPNZLHuH/0V162oqpTM3K3Qwpwry5JXgFVL7V+A9aNgk0xL4nE7SwqkZM9uiY6IlYglEaodyb5q0qf0F+vpgj7LsPfs7VsBgvbK6pVXglnvYWV7N2yQ9ljIcN23rxZsUyQ88vaT1NR0BWFHcx5gHyLzc+funRITEy0xSzEO0Y9Hx68WoHcYYddZuVnQNt0vV6y4QnU/adNkf6VPeT2OAIa9/wLgZ/WBJmXtJkCH96o5C2UXkhLdGBItQTMgMwKWP+f3i5WLA6CcPwG6oo8UgvmZ0VQmsbODZZlfqGQ2VUhtV5vcCQBUwbmLGcOcwXD2hkMdsr62SO5YmAIQD2sYzJ8DC1mOBD+PgPm5vnanVHS2yM0L42VHR5P8pjxDggKtEHhm4maxmZ+PQhqo7UC7gp9fS3GXYICfOwAQfn2Zn8yY7Ig8GGjorH9rt4XLLgaA6nMObUGgc/2eDsmq7Zabwj0kav50+VvuAcwnIrdHAwD9cLXOsoZxib8MFgClzdMAPw/09MsfAH4ehf7nl6Fp+tiWRvnN9uFpgOo1eV18FUKK5wff/75swvqLEjLp0Fu/b16gbGxulzuDfCXCbYY+Wy7WowYDgNp+PoU+ldfWKc9WNEq85wz5TIi/bN/fIW80tshPY8JkEhzJfn8hm7THd1yMAcr3cfQcwwXfrG+VLdCG/eL8AGnGM+auvCKZORMM0Bc/SIJkN1YB1mqPP/64RkEkYF1BgNheT9g/7fc6fzo94PTAJ8sD9hzJeeCPf/yjNDQ0SDyiuz796U+Lr6+vVtY5D3yy2txZG6cHLlcPfCIAUE66LGdrfjLsPXXNWkkAw0zD3smmuyjDbPBNSbvctPYBKCsCmNSE8F6CScEh1DK0df4utBwdvC37nawqmUmdYH5mZ2QqOzJ1xQrdnDOc2eQmkjZpj9ekhyv37lXQjAmW4pGV3AXZpgkgGQc9yJyAX8lWIfhZi7DwpQgHDwGozFBNFtMPUbbleLApKCeQB8CMgHbKCjA/weAjo9Z4HeFQ4iisZ015hRTk5oh/8DyJhgYnkxIp6GEcTEId0XdYtx0Is69F2Ht0chI0Yxc7sqBbgIE6eITf2G9YXCa6ShPab8Pvfmdle0d/8VoAzc+1a2SWn78UvvwX8YVOUADAFxMAKNuRI44Z2A82NEp5xlawVWbJgmXpMhFs01boq+5DaHHkGjMAqA1+UvuNmp97oTF6GFp6BD/vW3G9XBOeiPFDbTazwDKvx77T2XlQGYr9AD+WpS5X8JOHBtY8YG7uoV8JRNJmZVWFZOdmQu/TT9KTl+lhDMflaNhkeDYzkO/cXSR7y0slOjJWwhbaobwEP83Vkf0VA08PdbrB/MzcnoG5/YikoY5engDJMG5Go46sw3j4tQqHZ3n52xH27icpCTwEYXIy0/0GIBLGIOeBE+gnOwrzZC8Ol+Ki4x3MT86v5v1KpjVDYpkgJSM3Q7q7OhU4V7DesF+1rzrAz81lRfLfG1+TSiR1op8TPQLlnrAUGYP++rfKArk1NE4Cplv6n6z3xcqFAFCyMG3mJ0PetzdXSjwyvSf7LtA+nLe/Wup6DsgdoUnGAFDaJKP2yPFj8g7Az+quVrk+KFrCPf3luYrt8nxFtgQFBsnfXvubti/9T+bn448/Jq2tbeKGbO9fhubn3ak+kl/bI1squuTbq+bK9InjLw6m0Vlw2YUAULYFnKIh1NT83LGvB9nePWWp71QFEl8tbufLRgFQBUkdzM8/FbbJSdzDP8V7y0QY+vF79fJ8XveQNUBZD/tr165d8vV/+zcN8TwO8DN51kz58dJF4g2G0093V8sX5/nKYkMAKB+jp9Fv+TOnjczPJkn2nCVrg3yQ8GicbGpsk3VggP7EIACq4CdsHsM67I19zbL9QJfcEuAt0bM98Xu9fKVw90c0QNkV6J8XX3xRpac4d33+85+Xa665Rucb/j6Uov0GHzA+vztuwr4+fx0tGw5T5/1h38Pfy/55b8z5gtMDw/QA+zS/GAb/l7/8RfLy8iQwMFBuueUW4YEIi7O/D9O5zo85PeD0gFEPXPYAqL2IIPj5BhKrMOSmDCG9BD9T1qyR5Ouu10zP3ICZZn6OA/PzGDQ/CzHJ19fvg+ZnsgQFQ/PzJDetRtvpzMUIuHZA6y8DzAOCL2kAP909PVTL0dqcn3nriP+B55hu+PnAKivbC83PXJmChCNXwKeTwJ4bDcYXNy9cLJNVUQhGbS0AK4KC8wGajYY9Ool9SDU/Eb61fds2XbAnAzCb5eauYZmmH9j0KwFVXrcWTDpqqfoFBkk0TkqZ/IR9dTRssr8yVC8f7VhDzc84gEnh4agvnWDOJuvHjfE4sOgaYWfjH/4ge7KzFNB2C54nUbfeIl7IbN9/5LAUv/o3AKARAEBjRgyAsh0J4fKQgwmPKgFkT5oxQxZApsF1CjbcGC+dYKLW5mQbAUDZdzinECCvwzVLwYw+jLHpO8td/jn9OrkhCjIGYIOxmG1PMsPGywFked8Gzc9jAD/J/KTm50lHgi5tALU88m/0qw1+Vij4mSH+foGSDJBuAvRUGfZuHhiEfh7mAYZiF+3MB/hZJjGRMQp+2gw4sz7lPACQzsH8ZNh7f99xSU9bJp5gfhKEteyZm9i1v+JyTAZUDc3PnLws8fOeK4mQv+AhF+tuvo5oS8w9BEHzcWi3ew81P+PAqF2q9jhuR8MmmYxH+/pU87MbGoKpSQg99/KRfsxHJvuO/Zwfj3G5cU8BND//JlVtTayWJHkx4VGKBAPwLOvcL+uqi4wBoAQiVfMTc3p+S7VkNZdL/OwQSZgzT4ci56Xc5irDACiZn+PlEJmfNcWyr7dDrgmKlAVu3lpfZoF/viJHggIC5W0czJCB85vf/Eae+OlPpRWHNO6TAH4mA/xMmoNEYuNkS9lByajslm8ZAkDZv4luUvNzHcDP7XXdcnOEp0QFTJOxWCOdwmuvFh1AfzMHgNrgZ/uhfvl9XqsCh5+Jmy1e01zl0JET8uDGenkud2gAKOthh70PzPauzE93N/nO4oUSjmzvbYhgeHJPnXzeEADKxyjByNPoy9n72+WPNU1I2jVTbkW294lw2mn4730AoG83AwCNNsMAPQN+on1eA/iZBcbpHWC0xgJ0Zf9+DYeKXy7Y9REAlHMG1xZcfzMp1PTp0zUUPjg4WNdXQ51TtO+g/kP93Lmedmw7Xmfgtezr8/0D/87f+X6TewVe81zFvoez7Z/rvc6/OT1wOXjA7tNMgMQcHNRZnoZkitQBZSg8i7O/Xw4t6bxHpwc++R64rAFQe7I9o/mJhEfVNTWq+Zm69mZJuelGAFsTsKCxdK9MNScXpgQijyHTKrUpG2trJTY5WQKp+QkWJhf0o1G4KOsk6LGJmp/HZfnqK8TD0xP/thlf5qzq3gULbD6sKgB+5iE8O2DefInDKZ7rhAkKJpmuJzf89OsJhCPuRMIjalPGgKEYAvCTbFCW0Xh4Emjpgl5j9tbNCgKQ+cmER9zgmLZHv/Ka1MSkpmkBQsID54cgkVSSblrZp037lTYZZs+w9x3Qbq1Ce8ZT83NRmIL1ll/VvUa+qT0kZmhFtve//vxJqSstgZ2T4oFQ96hbbhUPbIrIkD4J1lLx314Vn/CRA6DqN3jQCntvlDIcEEzGIUjYqpUyYSKlLwC0ACxoB9BUm7N9hABoohyH1uZYMIYpjVADcJdh70e7uhX8vG/FDXL90hRsXjlToL21ZY241gHWg6nMsPet7wNUOiqrEEbs7UXNT7u/mpuA6FcFPzH3VNRUSgYA10D/QElJWuYAP+25x7BNgPUMiS3eVSh7K0olCqHZi8MWax9Wj47CICErsgsL90yEoDMT+vL0VRazHn3VMme4jpwHMN/V1NVKVhZAZSSUSwKozKzhZK2Zn3sInHN+PQXmZ66UQss5PiZBwiPCLWa9Y24y01Otq7D/jMdcx2zjW7O2yMGDnbKKMg3QqDUPflrgLlspo2KX/Hz9XzXsnX5M8AiQe8PSJBDan6fwXw1C0d+sMgOAsqYEhzhO8lqqZCs0P1N9wyTJBxELAFMIjpLJnNNEBmibEQYor+mCfnIMz8o3qvKltvsAwvljJXSWjyZ0moC57ndVefJcebbMx7rkz2DjMDv3D6HPeBASL26Tx8r9ye6a7X0Sng0Uq9xS2SVbwQA1AYDqsQ/BT9R/XUmn5EHzcy2Zn3OnKvjJOfEUGuoVQwCoAp+cbhn2DvDzpdwWNot8PsFbPKdaCZ16j52UhwCAPjsEAJT9l4WgGMM6v/Wtbynzk2BfshuYn8j2vgjZ3snRbO/rlydKauRzAECXjJABSqv6BR9ub+2U30PzM8XTTdYEzZGJGMN8kQd9GxtbjQGgfExRvqEP88Ob9c0Ie++Uz87zkxiPWbAHUBDrpNfqPwqAcm3GNRTHOJOOVuLQ2h2yQY899phmf9dnszWBqi8/zm9DBTOH+v6Psy5OW04PXOoesOdLzo/UAf2///s/6Aa7yo3QCr4eOTg+joOFS91HzvtzesDpgUvDA5ctAMqJll/M9s5TpgcffFDKkJmcmp8pzPYO8HPi5MkKtJgNe7fAT4JJBXm5mu09ISVZ5oeEyPF+SzvNdNOyntyct0OvKxPalMyevQKnaVxkjib4yQVxZUWl5GVkSEBQkGZCZ5j4qRM4UcfC3GThPkOZSVh8FxXkSzVAupiERFmAxDzH+6nPNkqAABlfAJOo+XkcgHba6lUQ7R9d5idBD2p+7sjMEt/AAIkD+Gmz3UzvE+hXG/ykRu3e3SUAWxNV8/Mk2tG0X9UeAA+Cn+8897yUAODlpsI9GOH9t98Ovc8QOYGNIsfkCQKgr75iBADlhpDgp8X8zJIJU6ZI6PLlyv4m+EoEi+Hb7fD7SBigM+bMkRDIP5zAWOd1ayElYGt+zkHY+z1p18ra2HS4lRAFzZobJwp6oL92ILP81iwwP4/1yYq0VZbm5xkNRYP2UAeCOhzr1dVVCF3eJr4Iz16esgIAPkJkMVatecCwTc4tcF7RrgIp3YP+Gg3wMxTavwB74FGjPsUFYcsKe+851C3bAEQeRZjwSoDKnF/70c4mGYpqjoMEheOyHrIp2wC4+nj7aIZ5JjwiaGY+2Rra0gEq7yjYIbtLd0psdCyA5RgFznk/Jvsqr0c2JpmfTHiUDXZrGzQ/Vy1bDc1PH+NgPZ+RvH/2161lxfKL9wh+NiswGQ/w88thqQh1R3uiDxFgZqj4m5UjB0B7j/dpsiMmPMpvqZGM5jKJ854naT6hcvw0+qs2tdVnc5vNAKDHcaDrgrmMmp/v1u6Syq4WuWEewE8PH2Uqc55wHesiLykDFMkK/ebKjWtvklf++rI0NbWIOxIe3ZfkJvcmg/mJxEAqt4K+saUKAGj5yADQJQht5yGwHmSiTd4ptTQ/15L5GQTmJ1yiSwf45SSGuTEAFIxFcRkj7YeOy/8C/OzqOyFfXeYrnmB+nj5hzWOHjoEBumHwAKi9xuRPan5+5zvfkW3btinTMcV9pnxvcagsRfg75/px6HdtfceMAKC0x7UXNT9zWw/Kc5UNkjJ7ptxO5iecZ8+2TIhkCgDlnMM69MP0m/X7JaOlHfZ8JcbLXcZyPmJHxrj52wUA0INYR/3oRz9S3T8/Pz95BBqzk7EGt8cm54QLFa033tDT06PgCaNyCJpwbTSSQoCW15yFvQHXIpwn6rA+ycahfmhoKLSPY87cI++BMhHUtreTtozE9tmftevIJFEbN24UTxAYVq9ebXzuPduu83enBz5OD3CcbULi0T8g+ovj77rrrlMQdALJMxhjptcaH2fdnLacHnB64JPhgcsSALUXETxxfu211+QnP/nJmbD35JsY9n6dTAQAYnqi5bqUYcSW5meBMj+jACbND5mvYbCjManT5niw6ToAfmpiHgAdy1ZC8xPZ3gkMWptzc52R9rA+1AdUBRiYO8CW80fCGoK8LuNcNMSWbBaThe3ERS4ZbLuw0aDmZ0R0tCzA4pQPz9HxqwUqH4SGoq35yWzvM7lIJuNLd2nmamn7lSwKhp8XIOw9YD7CweOo+elIXmDvbAyZpV9tzc982KPdqMQECVsMzc9RAz/HSws2Fxv+93eyC5tFLoS8FiJE8IYbNez9FEEsbNxYVWMAKPqIan42NkplZoZMnD5DFi5bBvATMg1gaGKQqL0xJgBQZKtekJoqfb2HNex9z9tvq+an9wwkwVh+vVwXmQSABeAg/jPZb20w6WB3l2zesglzEMDPZSvFZ/Yc40w6dj+dOzEGCGCVV5bLdoZn+yAxT1K6ykWMluanLSmwq7RYSst2SVR4rCwKW4L7IVhvHvy0/DpeN8iZOdD8BKM2LTld5QQshiLnOnMDU/2K640H+FldWyO5O6j56atyAvQ1mWycf03bVPkLAFP5RTgEKdsDOYE4CV8Sru2MKd9oX+Xd06+UE2DCo0zoxXZ1dUg6gPM5XuivhsF6+lRZyvDbFiQ8emrjq1LZYml+JnkGy10LEyUEYe/HABwSShkLIKcKoOFIAdB43xAk1+lXDc481fysUvAzEczPU6dx6MJ4YkfhXGACAJ3sMlGf+bS7vqYI4Gebgp9h7nOEwCjhMc49lAB4qRwh8JXbZSI2nWThHELm95kTx8hXkPDonxPnyFRkesdbtZwmAFp5cMQAaLgfpEYAOJL5uZ6anw2H5AYkPIrE38fCFh+rCuGhzU7g3yYA0AmY10+jKu1IePT7Ha2QBDgpX0yYI36zsNkGMKqHOKhlzxAAUPYp+4vgJ5mf23HYRWZTApif/xUeJkuQCR1v0kzvbF8zAKg/+MkKN0Lzs1P+F5qfiR4z5BaAkUxyRB+yV5E9awoAjXCfIdgIKPj5+r79knPgoNwSOAfMTzfUzaofOwlD8c8HgHLebm1tlR/+8Icq0URg8YEHHlAgUec8a1LjZc5bbHCSElbL8PymzBLZpOy7g72GfXG77dra2jQZy+zZs+Uzn/kMDrT6da1JHVzeKwHW55577gwwunv3bnn55Zfl7rvvlsDAQPtyxn6yjiyZ0AunLuJCrI22bNmi9zTUOhq7KeeFnB4w7AH2ZUYc/P73v9eke1dccYX29ynYl7OYXBsbvnXn5ZwecHrgH8QDlx0AyomVxc72zhPnCiySps6cCc3PtZJE8BPJTrgBMznJ0i512Y6BcaralDW1kgggJHhesIJJg1jfDblLsaq02YHT4qytW7jWluTl1KSzw965Obf8MeSLn+MDvD4BVfqNi9AigGZzmfAoBWGZOI1Xpgh3MHyjoaJ1xMKeiVuK8vOkTkE6gMoLoPk5CkCkfdtksh4Eky4H7FaCrEnQ/Bxt5ic3YgR3CX76ItyVDNczfuWuxmCx/PqB5mc12NGRSCS1SDU/bZDFnEHaI1DfAkbb+uef12zvJwB0eIUtknCEvzDT+yn8ruAn64r3jwwAzZRetF8spC5YOgF+VmVtg+bnLAlJS8MByFRlaKIz83+1N3IA9D2ZCWbLPPixHDIUe9cR/LQ0P+8C83NNdAo229wycqNvbWJ5byMtnHuY7f0AdPsysreo5ueKtNVIzEPNT7NAK++V9hRQwlivhEZt9o4MmesTIEnxqWDFuGK84HW8Zm4WcNjkNVGfol3Q/MT8Q+bnotBFynLXNtSt/0i9OeDzqCcPCLp7wHzLhF+h+bk8fbl4uGN+HYWDF/qVcyuBweq6asnNBfgJ5mdSUoqCaKPRltxws46c4/LzwfzcUyxxsQmydEmkhtmzEU0+J+3+Q5tHoYmYhYRHB7uh+ZmYBparr/FEUtpX0W/IwNy0t1B+9f7fLPATN6Kan6GpEjjNTU7AD9YxCMPRRw6ALvbw0+RGR05AA7wVzM+mvZLgvUASfeZb4+JDg4PtPnZEAOg7ADtvD02WWROnyiEk5noXCY/29XTIp4KiJBTg5wkH+En/E0SfhD72u8o8eXpvhoKhJEh6TBa5N8VD7oXm52QwP6nQwbbn+00AoLdEeslS/6lgpp+Ut0stzU/+LQp/Gwfch2OY4KdOx7A5YgAU7NJvr/THnDRWw96p+Unw8/NIeOTvNhEUU2seoz2WwQKg7FM2UEWd3B9ANoAgFWVUUtxnQfMzVCKV+YmxhetaOPfIAdBpiJy4a2GAMj+zoPn5h9pmSQA4eRvC0Cehj9vgJ+tiCgC9E+H6UV6zpA8HhW/Ut0hma4fcHugjcWR+oifzwID+I2x3MQC0oaFBQcVDhw5JZGSkMmaHEvJqA6B79iApG56xZGzWQl7qbACUc9m5Cm3Zcxnfw+s9/fTTGpZ///33670xYowsNCZoYbb6a5EglWH7fC91CwlKFhcXK9OXIK59Tdum/fvZ9i/0Oq/NPsXCf/MaBECvvPJKicZBP/9NAoD9fLDfZ39GP4hvrBs/6yxOD1wOHsjNzVUGKA8hVq5cKbfeeqvMxD6dxR6nl0M9nPfo9IDTA59MD1xWAKi9ILCzvT/00EN6QjwVi9Hkm9Yi4/tNqvl5GuwLK4TQXvqOpPGshQvDZ3l6XLgjX+qrq6GhSPBz3oDwbLMLE24WGEbWiaQqWzZshJ1jsurqa8QNCTk+0KY0Ub8PfGOBnwh7B1iWg9M7apomAfwcC0YbF268J2s5/MFnhv8vy68W8/M4sstD8xNZ5mOgpRqCU3EmlsGS29GOw7fy4U/SJvU3x0s3Eh5lbdms4aapK1Yo81OzvWslzfqVbFIuXKsB7hZQSxXMTybM4prYWvTyLk3ZtP3q0PwEa6W8dI8kpqdB83MxACZrMW4uxNZhDxvuAw2Nsu65Z6WUCY9gxxOyEPGf+4JMBVCnlYVvrT6E6uJjIwVAD6MN4xFW3w7Qde/778sULK4WXXmFuEyYqOA5nP4heyMBQCk7Ufr+Bpnm4QXtvbFS+Oc/SR80P71nuMlXVt6AhEepABLoW7OLO/qL4XjU/Ny0aYMc6Tsin7ri6jNZyUdjIamMKfTZyupK6IxulKAghPQmQ04AhyBWkiWzcx17PxmKLDsK86WsokSiofkZvigCByMAzY2NDTXh+EZQGcxPbHq3ZW2VQ0d7ZFX6VQM0P02Nxw9ssq1U/mJfLYBsaH76+ktyIrK9OwBKc2PSssm5hUxTsnXzCwF+7t4lCfGJYH5GKKjMd41G/7HC3qn5uUnIsF8NOQEvaH6eAMhiWjJBn1moR2bFbnn8nb9IbXuz1oman18OS0fYuxvC3sEQP9OHRg6A/mlvjiz1mitJyO6+ad8eBT9TEfKeBEYox4dVBvafkQGgjYc6ZB2SHH12caq4jnGRVyvB5u9ulTUhiRI2y1f6TkGmwVE/sj8ZUcDfnyrdIi/XFuJ2xiLhkcj9qZ5yTwrAT/QJzr8c5yymANA7YrxkwZwp8hYyu+fsA5gUBUAUmp/jGIKOe2KxvcK+aQIA/d5VAdJ59IQ8m9UMSYBTcm+qj/jMnPAR8JO2BwOA2mtMrneY8Og//uM/Bmh+zpIfR4RB8xPMT7xO8JPFFAA6EweI/7QwQLa3dMgLlfWSOtsNCY98EfY+Di0IH1qPWrVpAgD9eUm1fH7+XCTNmi6v1TXKZmh+fgG/RyG8fyD4SYODAUD37dunYDEjswjs/b//9/+GNL9Ya8wxQgA0NjZWAdA6RJPYAKjeB/x+NlioDsE3u+04pxGQ5O/f//735Re/+IXe13/+53/q39kXGRLf3NyMQ283ITuU72UIfzwSURKw2bVrlwTg8H/g/Mj3DPzdtsufA20P/Dvvg/c78D18LwF1suII9DIUn/dkX5+fscfLwGvRtg2gDvy7899OD1yKHmAGeIbAkxlORvftWKvzUIPlfOPoUqyH856cHnB64JPpgcsGALUXGAQ/33rrLT21rQCgNA16jclgmCXfcANYX9T8BFCni+3zL1YG05T2YsROzMOwvaIdebIPYEsswohV85MbOixK7EX9YK57vvfY9uw17jgAEB1gfGUjjJjaosugTenuYTE/rYfHyOrH+zhjc8DCrhI+zQf4OTcoEAzXNAVf6ANlfA143/nqcbG/f2ATD0HUkYu9nUguUFNRruHgC6H52X8MWqp4jX6133+x617sdfqV1+JitAuJOHLoV7Rf2sqVyPYOhhDYHRYAYdavuKj6bl9NLZif2TLHz1/iAPISCDllM+kM+ZW2yKCj1h/7DBN0VWIzEQ2ZhkXItE5GLctIFx92m/Cn+hRAEsPe33vxRSlxgJ9ugYESfccd4jlvPuw6wt4HDhQ0yIgAULAmDmPDEgKAvgJt6Tp1KjQ/GfaOOQDtCqfTHR8U2BsuAIpqApA/Lnug2dUFlsuhhno51NKCEEsP+WI6ND+jU2GLW0b4nm3wgdVh/Uv7PT+JXSd1IjvRXzOyt4FZdVSWp66U2V7eKhehtgbWcVjWrA+pTfoIv/Kwh8zPLDA/fb39JB3gJ7Upz8wDI7Az8KO2Tc4tnAdK9+wGQ7EEupRRsmQRND8dMg0fbsiBVxj6v22bBOm6ofmZvT1Deg8dkZUrVoq7m8eo+ZV3yk1tQ0Md2jIT0gU+kpqSpn5lUiKdX4denXN+wq6j9n+06Q6AnyXI9h4bRc3PaGXb84N8faR91b4B2mT/oF+PHD0CyYRsaeto0f7qM9tPjp/EnM7exTeOsPASHJMshNW2lBfJrza+JpWtVth7gkeg3AfNz8Bp0PwEIGmDg/oB1HgkDNATOFz9y54ciZjtrxnY36ktkvg5IZLuB81PyntoObuSfKYMjwHK51U9mJ4b9hXLjfMAljRVSllHk9wwPwbMTx89aKIr6FvOPwx9RzPIuw17wQDNlmYA+7PAkLwfzM8vQfNz8gSL+amHHPgcPztSALQXoeWPbW6UW5DkaH/3MdmMREprljLbuwP8REc7+5nD58ZIAND8+kOyoaxTvgi251+LD0hrbz/q5yNzz8H81CbBt4sBoLwnAkwsZAF+97vflc2bN+vagMzP7yHbu635aYOffO+IAVBc4L/31MgsVxeAq1PlaWh+JiPb++1gZ05Ee7KPDwQ/aXOkAGgz2Nm/LK2VT4Nduu/wUXkfmeRvC/KR+NnuMobjmEYGlOEAoAQczwXkDbjsh/45EAAlgEpwkqAqAVAW+/VjOIxswfOXTFOu25hlml8EMu3C97Rj/fzTn/5U/ud//kf+7d/+Tf71X/9Vw+qp7UwAlMAMARn+Tt3PahAbbr75ZmlENAkBSl9fX8iTzNE1I0FR7j28IYFDbVD2FbtP89nV1NSk7+PrNkBrv4esU77Oz7Mu80AsoKxCItZlBEAprWADoKyj/XkyaslK5XVmzJgh1FXla7THn87i9MCl7IGBAOjy5cvltttucwKgl3KDOe/N6YF/MA9cFgAoFwAsNvPz0Ucf1YRHM8GGTEPISuK1DHsH8MEwMCwYjRWY5SLnKE60dxUVS2N9nUSDQRM8H5qf2OxYbBZj1qwLOWx2HGhTFiZ1MdNXrlKx9OPHreQxRi2qPQI8J6SqEuHZCFtQ8DMZYZlgfOmiEwCFuYJrcfGIa/YjGU7JzmKpxcJzKYToQxaGYjNmM2jMWbSvxPBkaqnmQ9eUCVVS8VCeMRPZ3k9ZQLb9PiM/He1I/9Ug7H0Xwk/9waSLjI9TkIBMTKBlRkyduYjD5rFj/WDU5kktpCGoURuG7NnKTDJpzjEmx4Cd0lxTI+++BPCTcgKolxfkC5bgQGK2MnktYFnBmDM3in/gXocFgOJz1BGtRj9tRpj0FGxgJgH8XEDNT2R7P6MxenZd6RsAe0NNgmQByuPQV49I/p/+JPsgXzAGgJWfm5fcD+bntZGJCL+1wteMAZK4Vy1wWkdnh2RmWeDnyuVXIIGMt2oo6ubr7Do6PjbUHwyFJXiCyU4/WlVdBW3KbGh+zlU9zHGcB7DpMlY/WnHUkfXgZpXgZ2nZbomPTZaFIQt102ffkgUwDLVW53i/wyY3mwe7Dqr+5lGAdelJkBXB5pnzq0oYGPKrVUeHX/Gjpq5GCsBw9ZmDsPcEaMUiUzfHi0m/Wm1pPbeoVV28swhyJmDWR8co81MZ4HCNyWeX3X/GIVKgp/eQ5KDvdHUflGXQ/PT2hjYlIidM1VFtoX0I+DFpy8aSfPk5Ex61NenfkrwC5O6FKTIPmp8fBT/ZJ0YCgJ5W2YBXy/LAuuyHZuIJWew+F6HwkGvhc0v717k6z/ABUPbV/Ye75XWEs8+YMFlaervk2nkW+EnAVUFlrRXrZa193q3fI89XZMuBvsMyA5HgNvg5BWHvLGwL+y55y8MFQMF3V/t9OKh4aMM+mQ5wlf++MtRNogOmadg778gGimjbLlzTjQQA3dXcKy/l7Bc/VPAotG0/h2zvfrM+GvZu2+PPCwGg9vv4vC6g5uc3vym5mOu5/tJs7xHI9j5jOlE49d/AVeZIAFACi0x29PTeOinvOaS3EY0M8rcC/JyE9mQ7nQ1+8k0jAUDZaq1Hj8nPwACdjoOtI1j/XO/nLbGelubn2eCn2sO3i4XAn80ANQmAsr/wi5IEb7zxhryPiI8OREfx2UGglCH3N2DNcfXVV2uIe319vXzjG98QgjAEH4ODg5XRyfd89atflbeh3f3LX/5Sk7N87Wtfk1deeUWz1u9FFBL3GQQmmcDpecj5zJ07V8FwvkbJLdoiCMmxyb5NkPKee+5Ru08++aQCqrpuxmv8zJ///Ge114mIlalYq9x5550yH3sIMuIGAqD2Zwh8vv766/pFBiz/7u/vr/Vbu3atBAYGqi/ONa7YVs7i9MCl4AGOPWqA8vBgOfZaTgD0UmgV5z04PeD0gO2BSx4AHQh+cuHDsHfqU47lSWp8giQA/HSdNEE36CZDCAkIjMMGlYBqExYkZRBHD0JIbzDCl63wbNuFZn9SE5Lg6t7SUmlpaJSI2BgFPz9gKJqzR99yEeUCXzIUdCdAunHjXQDyAqTDTwWUARqaLJZfEdKFE+zW/fulpLAIwGCQzFsIjUgAS6NVqPmJ6kpZSYm0NtGvCLFy9wAIB2YSfGCyDPRr76FeKQZzmGHMUfDrOPzUha5ubcxZtf1KO81gMOwuKBS/oEBZAA3O0zgYYN1N1dMeky4TXOU46lewfp2UZCLsHZtFt2Bke8dJrycW+OdkftpVxv0MFQC1/cpLVABsrUToWBCA83lg1H5E89O2Y/9k/YcIgNIeNzkc77Vgtu5+43U5ik3MlPGuct2CaLmBmp9oR/qewJmFgIy0L+FqGAYuYANxzJeV75W6hhqJjohVMEnlL84A5yO1ZTnH0kseqwcehw/3Sl5BjrLkYqLjdVPH+pOhaBX7p+PXYf5Q36I92F/3Yx7YVVIEYNBPQheE6eaOl7X6KxrOyFiBX3Ep1dyFg8srymRfAw60lsZq2Lv69cw8YKqOnM/GqA97wTAqABOTdYqPjYc/OQ+Y9KvlJwKc7OeuLq4a4plXlINQ+wAFP635lXO+yTnd6q/jXMYpoFtZVS7l+KLGqI8PmJ8EP430HUf90Ih8JlO+oOP4EXlqyxtS2lSnPYSan/eEpoj/VHeAevDDOfvN8ABQe4wTLPxdyTap62mT68DCjIFNNcPOdU57+DOBQvh8qEmQaHPCOBdp7O2UZ4s3yRQkQLp2PjQ/3XwA7iIBosMe3zcehzAnUef3Ggl+bgf42Yuw9zFyX6qH3IOER1MczE/2v4G9m3c9HACUn9P5GG3L0PNvv1ENHcmT8pV0X1niYyU8IkA90BY9YRd+djgA6El8buz4MbKzsVceeKdOYudOk8/Geok/Y/zP0vy0bdk/zweA8nnM+2EpQDQKw6a3gAHIQ59UJDz6DpifEZBZ4gRia2La1+TP4QKg6kM46CT6xhM7ITey/4D8U8hcuREanGdrfg60x38PFwDl8TKfaQcAgH47fw8OYE7L1xYFSiQYroxhOBf4qfbw7e8JgLKNyJS87777NMv8kiVLFGgkEEkmJ8PmyZJkuDt1PGtra5X1WVRUpPMgw9nJvKTuJoFRskK//e1vKxj529/+VjVB+dkSrA8JgEZFRSmr9IUXXlAm6PLly2Xnzp3y6quv6jUGAqAEeHh9Jm1i6DyZmuxPjFC7++679Zq07ePjo6xV3ivZqqVY4zMDfQ6AdrYJP8O6kKlKgJcZ4gncshAUJZC7AnJNTz31lF6L7ze1plMjzm9ODxj0gBMANehM56WcHnB6wLgHLmkA1F6U2sxP1fysqpLJWOgEx8QCbAnCYpjJeRxh71gQjKjoah2ABq5DXbZ+hBE3IgRnwqSJGn4+AUAhF2Is51vYD9e+bmJQly6E9bZgoTPTw12T8hC408UWN+cjrN7Ae+OllAmC6zY3NiBb71GZjfCdqQglYuU04ZHaNGB0gF8JfJ4E6FgPv5JhSubVBABpll/Pv2EaeO+D/bd95wRZuuHX/QAG3b28ZCYYAwzzZcimbghH2m94Q2fqiL6IDQ37D/tOHxbTXgijmoKTfxZdtKqD7bvTPw/v2xmb2BSiPtTY21dTA5BnvMwGy2wCQ7UAsrDfmFoo865pljqq7einlVnZcgRsZbafO0DPpWAoeIXYCY/QnuxD5yq40FABUNZjLPza2QCA9511CvQkfPrTqOck61ACts5nTn0AHw2WAarMT9hiX63FxquE4OfBLvFChvkrAhfLAoAsZNHxfXTIee2eq+4X+hsux3FxELb2NzfITGiMumMu4MEEN+Q0ZBK/Amai9SCo1NzQIL1g8Hmj70ybMg3+peaY4fqh7rRphfKdkvqGWoA348XDy1MmTZxsMZXxHpN1pLtpk37t7ukG4Noos+DXmbPcNHGXrf1rrA0d9rip5VdzcyPC7Hswv/rqPEA7p3nYg/5jyqZOYWgqhqAzIU4d2KYIdta5ZxJkIdhPde4xiX2innwcumJ+PXzksOyrrxE3aG7OQhIpF+gZUnvU1Nhg/fg1nmAqnFawrwLZquulFSxHKiTGeMyV+6n5iYRHzEB+/moOHQDls5kHHHxe5rfUyCtlObLcf7FcMy9Kjtmh/exk5y3DAUABRqEtj0F649WKPClu2ydfWLJcFnn4wuZZ4CfmNfrmvfq98pvyDOlEkiSPyWPk3mSEvaf6yGQXeEO7G/rbWfeIjw0PAKVBtAV9/S6yvb+884BmXk9bOFPGHIe/cF3663yFfXGoACiBWkwW0n6oX57J2i/1XX3y3SsCwMa/MPPTvoeLAaBkFxIUIyB1GnMtmZ8PQPMzbDqYn7B9PnBwOAAo/c7PnWafOtAlj++qkqVu0+Tr4fNlIp47Y7k2sW/8HD+HA4DSHntAH6795r5m+QMyzN8bGiCr/GaDZXpucNc2je7zdwFAyYBk0iKGrDNhEUEVMji/9a1v6dzK++vt7RWyTcmaXL16tTJEuR45gOShTzzxhDI9+fpXvvIVBSnJwiSzk7/fddddmiiJIfAEMletWqVAIxO4MJzdA1Fm7KsETgnAkjnK95wNgBKoJABL3VgCnWSmEvxkRvnrkJiVUWt8nZ/jffJ+WKeEhARNgsR1Eu/5m2AeE5ClFumDDz6oTFHWkXqlTNb03nvv6T2TacrP8PniLE4PXIoecAKgl2KrOO/J6QGnB2wPXLIAKBcdLAQ/yfx8+OGHNTOwan7ecL3EISGQxebBYptAhPV2u17D+sn1Ojf8DCVj6FMhmHstYCfFJSaJ71w/OdE/OmHvrCuZgdT8zM3K1A1eKkJ6pwNs4YLpvCDSsGppfYh15UayqqxcirCoDFq4QKJj49QW78eUT2mNttg+BFkI4hSDZdFQV6valIGBQapXad+PdXdmvrMeBD8JKtOvbFuGvU+dPk0BM5N15B3THtuK4Oe+aoS75uYg4VGIRELPauDr+ouBb/TZwP5aDAZvdRUSdIERSabyKTByuItSoM7A+LDrwL7aUlsrG//we9mLzSLLFADZ8Z/9rPhFIHEN2CXoQNru+uK5vuF+BguAql9xjbGwe1BB1yxpB7jsHTJfom5aY2l+whnah85li39j/xskAKrgJ97LsVeH+pW8+YYcwdicM8Nd7kq/Wq4LT1SGGS9LPEadzB8jKARZ+N/4sTgEQXh2xvZtCpKlpaQP0Kjl9lUNjsCS/VFYY59gfwXQUlldjs1lrgT5B2Pzlajjnxsyi71nxqbWEEapwUiGXhHCs6sg05AAJn9QULAyXi3QxIw91tS2OR6s3Z5DXdjEZuvYT4W+8bRp01UKQw+CjPuVIO94aNjVyfZcJD7zC8BmN1GdzzFr7VvN1NOuI/3KsZKPMPuKyr0SF50gC0MXYZxRU5m91Iy9D/kVDEXKCGRD87Onu0uWp61Af3VHW1rMehM2rfpxrPFqY2RzWbE8vfk1qT/YruM6ys1X/iV8pQRN8/gQM1Kd/ZFvVv+r6mqRNyuL5NbQOCRKQrg8QMVzjWPapk1qaxL8zGwql7beHvknJCQK9/IXZoG3mZgfMXXmD0MDQBla7oIxeeT4MSRZKpHsxgqZNXmK/Ev0p5CADQchGDu8J94b1yps8w2Ne+VFMD+bj/QCOD0tX4ybId+5MkCmkvlJ8BMT1blan1PAUBmgtGeBn6cBfkKio6ZbDiPz+9dXzpVgz0lymkmPtK3OOOAj/+A1hgKAngE/e/rlL9D83AEN0BCPSfLNVXPF1ZqEL9oOZwOgr2NdydBi3gvZfUzaswXMTzLvoxHu/uDSRY5s7+cHP1mxoQKg9Dkbg62Y29opf6xtkpYjx2RNgLcwKzvbiVIPFypDBUBt8LMfdX27vlXWN0LTEsz+70SGSAh0R6n7eSEo7e8FgNZinUEAlJqf1PEkaPjMM89oWLrtHz6nyNylpmZYWJgC2FOmTNG9A0PWf/azn8n3vvc9BR35TOf1CDISSP3CF74gzz77rD7rCZimQFOcGqBkchLU5PqR/YHMS4Kb69atOycAyjB5ApzU9qR2KJmkvB+CrRs2bBAyVplEletDgqPsa8xQTwB0GzTM+QwmYzSZ0Sw4uF6/fr3WhfZZeN9kgfL+eB1mjl9IiSH83akHavcE589LyQNOAPRSag3nvTg94PTA2R64JAFQXWDjTm3m5yOPPCLlyEw+FXp/qWCYJV5zrer+6TocLCX+HGnBukQXwjxRpYYiEx7V19RqVvIgLIR4TwqY0ZABe3q/XOli4Tke4a7UpsyA4D43N6np6eLu6QXWDpmtZupHe1Ydde+iv1QA/KQe5tzAQInD5txiYuJ1Qz61bXLzws05F5I7ke29tqpSQ9BDALraDDrr5viJkRetp8OvnfBrLhaLXCQnwq8zEcpGm+b9am2UycSsKq+QIgBnAWBERgD8JPOMXcYk4Gr3Vy5+jwOYZztS8zMyIV7D3jko+B4TfuVluNnm/+NdXRX8fOfFFxD2nqkMyUnoqzMD/CXm1ltlOv59EkxU+veCBdcaDADKccetu8X8bJAKJOiahM0p/9aPw5HoG2/Ssal1vZBB2BsMAKrgJwBs1qEGYe97170th9s7NNv7fSuul+ug+ekKEAKXO9OeF6nphe5Kr8N75xhhP+mErY2b35cTp/tlRdoq8QJjmWxBAliOnfYFr3exF3nf3ISpX2F3LEC6qqoKyc5FYh6ELKckpOgG8QxIZ+3uL3bZC75u2cTtY9wpUxn12VVSCM3PUomKiJFFCxed+fy5YZozLw/tH6gf6zkOIF03Ns6Z2Zt185iSkC6eYJzyMGZ0/Eqb46Wmplry8sEkmuMrCbEJaF9LhkNBZTplhMX2qx6CIFkWk0blF+YhtLJEYqLisOkOPwPQW34duVHbJv1KmRQypzJzMlRCJS05DaGd3rgPhvajciPsO7YthukSgKTftgD8fPK9V6SqpQFM11PiPWGa3By4VD4dmghAp1/ZoBd2q/UsGgwAyjmPzE+Gcue1VMn25gqJ9povtQfbZLGnryT6zFcA9OJ9lnPx4ELgadMVc3ovQI51NfnS0NMlsd7BUtHVJLcuTJJprtQ6J0SKeuCanDveoeZneba0H+uVWQh7D3AfJ3cjOdDtCA2/WFg4fTwUAJTtruAnxvDbpZ0AInvkU4vc5H0kPro5wkMi/KZpIkr67EKF1xksAHoG/ATz86W8VgUHQ7wRbtx4WL6+3E9U2xS3dWGLH9YAXbxokR6szwUASsYnATJm4yag5Av5iC8G+st9ofMAClrA4IWuPRQAlP7WL/gnp7VDXgILM232/2fvPQDrqM7078eSLcvdkiWrF3fJ3Sru3fQsBgwYSCAJkAAhJNl8STZks8lmk2wabOqmbnBoIUDopsW49ybbcrd6t3qzZXX5/zxnNLJsrD4Xmy8zIOvq3jtz5rznzJlzfvO87+tvXNJHch74wMQI6wudGY+f9QSAtsFPXkdv5hRgX2mVKXN7YTnuZpb5WQGaEwnHdrxdKQBqK0AF/RRrU31fruGCiEqCpPFHsTW3MSTO1772NcTExEDqTQFQzTcVzkAqULWvXms/JSISAJUC9P777zcAVP1RkFWAUa7mAuITJkwwcLGRD5AEQAV0BEClMlU/0VpB91IpR9sDUCVOkuu83PUVk/T1118339N3tZ82Jde64YYbjNLTBqDPPPMMHnroIcybN8+ck+pqKzxt0KljSomq4yuWqP1+xy3nfuJa4MpYwAWgV8bubqmuBVwLdM8CVx0ANRNsnrvgp7K9/+AHP2C8thTCT38suGUls73fQpf01oRHnLJpMunMpkUrg/jX1eIAIV0OFYpz5s3HGMbu0UREBZmJrnMF8rS1iLSUnzu2bDbZeaVQVHwgTd60sHK0OB5NKkypM1KYGCNp126ERzPb+6KFJn6bqWen0+DeWFrQQ/CTWcn37kMGQXY8n3KP59Nry66qYWdT796VKTfwKroR7+LTddly/pLF8A8INMBO5TluVy5GtUDPZIiG/VxIhTEmVOKC+bSrFUvVE3W07EqlMif8qQy2H0f4GTt1uoE+9nXUG+tdfh+rrxYyucA//rIGxzgJ1+Q7gIuECMZTrWTsqthlKzAyNNgCoOxjnW5sgK4AqOqga6AfgWRlfgFObtqIwQTYExYuRB4XKFXFJUhg1lYt3rrcWF5XANQGdHLdVczPY2+vxbmycoT5Ufm58CasSljMYogeBAHMmZlhga96v9n9cADrWMaytu7cbNyJly2+BqF0wVOGcC2cWCTzjvAAAEAASURBVGjvC2m3p3UUC8hIPZaazmzve7YiIjQS8+ctgi/VMdYirWus0+6wnb60y1R/Fcw9kLyfY/opxMUlYDJjfioRkF29vtiy/UnY1pJdK6hM3L5jG+qYzG7JkmUYHTCaGbtblfV2we137sVru44CXQMYDzMjM5NAZQdC6A65cP5Co/A3IQxa+00vivjQLnYdtUjWsQU/jxw/hIS4eZg5baYFtuT773iZHAsIeGt5r9y2e6tJRrJkwVImzWJsSqrOneqv7W3an9fAplPJ+N2GN3CqMMdceOOo+JwXEIUAJge6jfE4G7szDvD67U4WeAt+8sELy5XycwsVlvNCJyAxaBxepgt87KgwzAubgBqqNLu+UroHQFWmlJ91vFe+l3EI6ZVF+JdxcfAbOARvpu/D3YxvOsxnEOvZbICwwPeGgpP4M+Fnce0ZjKLb+6MLAjVCYfTQAfgkIagBoJ2MULJxdwGoGfd4j6vnNfwu4eeurCrcMWs0JocMxk/X5eBuvp4aPpTjPzNZdzH+61jdAaBt8LOmEc/uLkRFbRO+sCgUJWcb8UZyKb51TSRdxqWC7foOe5EClIo8wSwl0vnqV79qFHWKA3zN6FFIpNJ/UD9C5NhI9Lcvsg9dfRfe6C4ANYeiXVpow12FZXguPQ9zCB9vZyb2p09mYSjHqgcnRnVrrO8uAFWZehhZz77yVnYBtrDce8eHY+ywocbt/pNUnM4cdfUCUDsLvPqL5osCk4cOHTJqSalDlexI7uGCoZWVlUYVKaWmlJea9wl8CoB+97vfNQBUGdn1oNEGoHKB12sdXyBT8FEAVArQiRMnmrGsKwAq5agA6HCGSpASVS7wKk9u74Ksii2qc9f6Qr81PqZxnjiZEH7GjBkGvOszex9ltBdE1WYDUDNX5t+yh2Dwv//7vxuXeBeAGjO5/1yFFnAB6FXYKO4puRZwLdBmgasKgJoJNk9N8FNxchTzU24htvJzPjM4WpmeraevbbXo4wtNnr2p3GvkwkMwSVnJZ9NFcsLECahnpnKj2OljGZfbXWWWcwK++YP1ZrK24sYb4D+K7oNcRHqyzNSUVOziE/PosWMwlzBJi1klyOhStXe5SnTynmXXfqxbM5KT9htIF0+oPCGGrjt8T5tZLHdyjJ5+pAl/fwEzqgJ2bN5iJpwLly+j8tOPCzMpvpxCLBefmdzeM1LTkET4GUn383i6Eatu6tNdrAUvPlCXf1nH9Oair4EqxSSCyFMMpj9n0SLETmG291aFgZN2lU1Vv+LsXKz9vz/iJK8RARfBz7jVdzE2mDfStm/DZCojRnLi3q3EUjxoVwBUppDbe3lOLk7xAcHgkSMRw/hbcsFPZf+tqShH/CpnAKjayYv1aOYYoJifx956E+cI0EMIPx9duhI3z1pgwIJW2k7alge1lJ/lFVi/8QPG/DuH66+5CYGMo6gwHFbfUZ9VKzi1ye2dSuX0NGzaugFRkVFYsnAZE+cw8RLHAefGHgsNCWJ487pTDZSV/AhVfAkz5mDalGlczDVqEHD4GrEYghLlKObn1h0bDVS+dsmNTJzhT/gpu8qmnrBrP7NI3bbTgsrz5s43yk9n7Wr1A5qVYzdDNRBu7E/ag8NHDptwAtOnzzL3Exnc2bHHtqs37XmOdt2Mcl6DK5Zei+DRQWY8svpO3+2qI7Bapt/omFtOHsaT772I7NJCU/nZo5jtPXY+ChnWoKzuDG6fkEg3duueYlmno3+7A0AtYCnouqcwHZuYWGhhyCQsCJuIuuZGvHR8N6YFhmOuowBUUJnws7EBazMOIKOyGLeOn40pAaHIqCrB+5kHcQ8B6GAmQjI9l/+8n3scfzq53cT8HOlL+LkogA9qQvHyniIM8vEymdFBk+j7HW26JrsDQM3cjO3QxE737jHL7f1OAs+Z0cNQW9OEJzfmYjX/nuYgALXhZwmVn3/ZVYgzDc34/PwQhNP1PSmjGu/R/f7xXgLQmTNn4Dv/8R38nm7Im1vd3ucx5udPZk1DQVUdjnDs/9dpY2mcjix34f3uAFDrOzwcH1bsofLyqdRcLAwaiTvHhJl2/8OxDGZk96YCNMoxAKoyNQIr5ufbOaexifDzU1R8xgeNQklNLX51NIMwNAwzPgYAVPMaZVOXN5iApxSeAo5yO4+OjjY/+kzQUgBUELEvAPQIk55KAar7RGcAVL1AUFLljuT8xAag3/72t01WealSf/rTn7YBUGs+2M/EJ1XiJLnsS3ksIYSSMynBkWCqyladL51rKDO9jnE7H/wK3trHu9Ab3VeuBa4OC7gA9OpoB/csXAu4Fri8Ba4aAKobuX70hPa9997D9773vTa39/m33or5N6+k2/uQ1tiN8q9zZmORVChyksOnqgcZvyeHT5XjEhMxnhMaJZW5dALiRKlSmvXnZFfqA4HIOsZQW7ziWrq7Enp4AH6qjqoHxUlIJVBOYuKasOgozF2w0MAXKd6cgx6WhWy7ttAt8xBj0mWw3JmMMTppymTjsi2g47Rt1X80kZQSYPe2rUbxtXDFNUwiE2CpErmAc3Kz7GrB86yMDKP8DI6IZAzOBTwPqbKchp9aGwnU0d2VEOcQkzacYqypGeyvU2dQ8cV2dNquKk/qhNNURK//619xmIpaJYjwH8f4m6vvRNDESTh96iQy9uzFlGuvxQiqFpU4qMu2ZZ/sCICqTLVUW8xPutr7DBmE2OXXYCAXAI0cI9IYy7GG0DCeITH6qgC1lZ9SJ6ZL+fnO220xP+9fdCPuoPJTcNTOlu5UH7Js2w/VlYR0u7aaBERLFi2nko6JTggGL8AkZ0o0fceMA4Kfqdi5j27vo0OxeOFSk3XeyvausdW560Q2MwpFjnnJRw7i+MnjmDVjFqbETjX9ld2g677S0+qzTI0DZxircfuO7XSTPItFi5ciODCYdq035+NsHa3rXNdJVral/AwKDsGiBYtMtnKNr9aDFyftqnGAUJl2TTqYhKMnkk04gbgZcSYJkjU2OVeemkBtqYdl5/iActe+HSgpLcKS+csQShf/Bl7zTvZXMwaor7LcbalH8L/rX8fJ09nG7XtuwBg8SJf3SSOD8EH2MVTW1xCAziYAJUzvsu92DkClnlSpcrk/UJSFbfknMDMoGkvCGUuVykv9vHxiN6YGOAdAVaaBn+yb67KP4FhpLlaOS8DUwAjyt/PIP1OO9whA7540HyN8hxj18saCU0b5WSTlJxOgPzh3FB5ZEAqfQd5Ys72A3/PGfXOCGY+zc4vo+usKgKot5PYu5ecHJ8qxO6saK6cFYFbUMCbr4QNrPsz82XpnAagNP0sZ8/OF/cWMu9pgEjpF+DHhEc8nKfcs3hUAXdF9BWhVXRN+QKXqmn1VjNMYSpVdqFETCjTN9RuB/2C29xmBo7AhqxCp1Wfx5aljHAGgsrG6ZQv78z4mPPpzSg4SR43Ap6jEHMQxg5cwfnvcWQBq4CfLa+DB3yL83FFYgTuig6lgDmBTMtt4TZ0BoJ+6ygFoBudViompzOlyJ9fc7tOf/rRJSiRQqERFGuul3pw2bZpRgAq82ABUbu9PPvmkUX/qtdYX7V3g2ytAlYFdClABVilAxzOEkZlr8UGk7QKv2Jx6bSsy1bSK+6lYnkqYZANQqT+l6NS5yl1dfcy6D1pEPZ0iC8UFnT59epsCVN5u+vkkEzs+8cQTOvSHNh1Dm0CoVK7u5lrgarWAC0Cv1pZxz8u1gGsBWeCqAKBmgs2TOUdViZSfuvkfo6rNVn4q5qfvkKGcKHIxzUmdU5vm9d6En3V2zM/MLCTQbXnsWLq9c8LSJcTpxYmoTAM/mVRlOxWKgjcLly4xMT+lnLMnOL049GV3UXkymeqScvIk9lO9Fxkdjdmc6A1grCtN5DwBPy1FrWJ+7jcxP2caqGy5vXvSroqhuJdxIlWveYsXYQSVn4KwTis/jV25KFRdFHvzABMeRY4dixmEvFKeCUw4X6YVTkCuevuoUsyiG9UsZgudRFcqAz9b2/myHaEXb1p9lQmPmIn1vaeewnHWURP50YSeU5mILGhSDG3bjBImesncuxuTCfGdAKBc8xt39Yq8PKRs34ohDH8xgYrsgUwE0kLwK9umElTWUOXbJwDK7PHmOqeKTvXIYhzVYwy7UaOERyzzkSUrceP02WzPAeLKjo4HGvPUT0rLS7F5y0YCbcb8XKyYn0HtHoI4Odax77Cv6rpMSSP83LMN4WGRWEi3d7kEthDs9NMTki4BUvc7kuqoMqVQTD5yACdSjiNOMT9jqFTmWO60Tc2ZsUyByGpmXd++c4uJ57xwnmJ+BpgHL4pB6nQdWUUDBjMyM7A3aTdCg0KpxGT4C6qm5d7vJBhUHWVXtaOU9UmK+Uk4kBifgCmM+SnFnw0/jD2c+odlKqyIYu7J7f1M1RksYt8RgLDgp3N2tfuN1K0bjh/Ebz54DenFeaYmcwPH4PNUQo4ZzvbkWLDzdCoqmAneCQDKS5z91Y75mY6dhIyzgydgTsh4dlWrv6rfvuQgABX8tGJ+1hNyHkIOYecnxszCBD+GwTkvV/f+KDhbxnigB3Fv7CIMpQL0TULSZ1N3o5jK15GM+fnYggA8OC8EQ5jwiM/c8NSuAgzj674CUEFIsjIDPxsIP985ynsrkw/dNoPwM5Lwk4XJ1b2G99efrs9xRAGq4ky5yvZO+PksY37W8/ifSgxCBLO9n9e9nA8Xk3gePQGgOu4ZAdD12fi/XZVmjDBAivezRQGj8N0pExFLNaEyAW3MKcYphwCohlOVrWzvcnt/ISMfs+X2TiXmYPZv2beZn/3WQQWoytS8RPDzTbq97yyuxJ3RIUgI9DcxTdVmp5l06ZdH0wlhr24FqEChkhZJGflv//ZvWMw47sqsLgCocV7zPP1+8cUXDWyUolIxMm0AarvAKxmS3MblXXY5AMomQinv+0pCJEWnkhgJgGqTknTp0qXYz7msssArBqhiiar/6EdrljvuuMOErrKzwEvEcfPNN2PWrFkmyZEdk9SMbdznlVdeMaAzkfNixQAVxH3jjTfMcQRG169fb2Kd6nzVlqqjtj/+8Y8mEdRdd91lzs+av2vsdTfXAleXBVwAenW1h3s2rgVcC1xsgSsOQDUh0KYbvSYX36PyM5VgZyjdSRbctgrzGfdz4EBfTnQsxcvFp9/7v8wikgvUBk5kkjixyRX8nDsHY8eNI+QxU1ZHgYfOVFWVMtAEbd+4ybi4Llm+DAFMHKPFrCdApCZPUrieYozIpJ1MeDSWbu8LGJNObu88IYdFkaaO1uK8CQdp13RC1/h5cxnz04Jl9uS89y334T2NXbk4r6Y6YEerO9sCTlj9GE5AsFA2cHJTeWorxTRMT6WilnYNp6I2kcpPTYgFtR0vU/2fC6ZmLvoPMJaq3N7j2F8nT5tuwU8us5wq07omOelmUoaizEyse+4ZKj+3GVjoP3YcEu65G6PGjDXQUJC3hOrQDIL1yVTb9gmA1pwj+PQ2dq1QzM8tmzBo+AjEsC196fJmkivRBoKWqYTcfQWg/bmwks00tijmp8n2zjicwSMIP5fejFvjFrHbEFFoQamO69Am+wp+yn14C92Ia86exYql1xAmMXxAW391trz28HPb7s3MSh6N+XMIlX19eI14AtJZC1PB6oPJSTiZchKzZsYjlgmPLNc+GdO5OupoUigat3fGg9u6fQvO0a7Llq1gOAHCMjO+OrtQVDtqaBFAzszKwA6qTUPDmEhqHhXg7McCv9bQ41w9LRUmYyoTSCUd3MdkUsmYHTeb6qcZph8bqzo+3ll2raV6asvOLey3pViyYBnCghXzs8mMeSrXiU02NWMr+8bWlGT87wdUfjLmpywo+Pm52HmMXxhIJSZty/d2EFKWOwBA5dqupEICoElFGdhE9/I5IeOwMHSSAVgGyrHEZkJJpwCo1J2K+anQO++kH0JaVSHhZ5xRftZznFfQCMUrzakuxQc5yVSALsCe4mz87sRWlLLO/oOBh+aPwhfmh2IwgSdPDc3s4mt2nmb2d68+AdBhvhce4kn5+Y/jDCnDmJ+3zxhN+DnUKD91NWn8r6FruhMA1DwT0c1V8FMJj/bI7b0FD1DJKvhp6K46GeczPQGgms1pq+M49x/vZuCpPVWtITn6YT5jSv/ntFhMowLU3LfZHhuYJd0JACo4pU6qEDF7ikrxbFoe4ecIrB4XgUG0m1friTXxenUKgGrqqnAjBn5mye291MT8TAiw4KdpM5Z3NQPQE5yrCgzKvV0AVMBSogi5ld900014+eWXMWgQZc/cZOMsPqC9//77TSIkZUZvrwAV9FQMTmWQlyu67j3anuID3UcffdS4kSurvI4jqCnAKvf3DRs2mIRI+q5c4FfR00RQ8/HHH8d//ud/GmCpsUpq0c9//vP4xz/+gfDwcANflQVeatLly5czEV6GyUKv5EZmbsh9Tp8+jc985jMmEZKAq0IwaB6iJExSlwrAfv/73zdZ6qV+teYoLQaKKvGR/tb5zZxJrx+et47rbq4FrjYLuAD0amsR93xcC7gWaG+BKwpANYHQJvj51ltvmZifbdneDfxUwiNfD7m9S0FDSEd3mYz0NMxesADjJ0xEI9WgTiv3bIMLDJZSobidE556LiaXX3cdlUlMyGEWkc4tklWeTGsD1XQCZbnaR41hwiPCT0vxZS/O7bPr+2+VacPPZLoFKTFPwty5Juan4ppqMaDJm5Ob+pCenldUVGD31i0GJC+gotaOpep0W9p21aRTsWL30xU7PCoaiXPnGdWilbHb6TqyLbnok0I4ia7mgp+zqVSOoVJAbvaCdE7aVUeU4qA4lzE///RHnOI10sJrZRTd3mfeeQcVoBPR3Ba70YsANKPvAJSJlBoIQL0Jk8pz8wg4t8OXiRpiuIjw0QMQLVwIJ8xigHCgrwB0BscXKUqbeL1n72PymDffaEt49OCiTzDh0SKaVQjCWduq71v9tRybtm1ELVXv1624nmqP0SYepnXNOtd/DFDiNafrID0jHVu2b0REeCRjftKutHWzUX6qPIfLZH+VaO4Q3d6PHj+MuJmJmDZ5qgFmakMn+6tsasPPamV737WN7u9nsHzxtbTrqNZYqs7XUVBc12VOTjbVpluZ/CICC+Yw5icfHFgxP51dmJq2ZHkCNfsPJOHI0cNG+TmTbu9apKsNnberxldmJafyc8ee7SgrLYFgfdDo4Hb3LWf6jqkf+6mstjXlCJ58nzE/SxTzsx8SmezoscmLETnc38T65EjA950BoJHDGXqG44u8QZTwaGvuCcLPiVgQrjh87MRms8pzDoAqnIA3zjH0juJ7plWWYCUTOcX48yEIr0nrehQM9qICtMIoQAOG+eHF9AMoovLTf7AXHiH8fIhu70N8aDENjzzFRv44AkAH9jenIJD2D7qab8+swqrpgYgbOxxehJJKoGabxSkA2tLEO4/gJ93dBT8ra5vxMOsX5jfQwE89xBGI7gkA1b3MdBXaZd3Jcvxicx52Zwt298OCAD8qP2MxlfBTEyYz2hNWOgZASXSl/JTb+19SczCXys87qfz0ZbvzMakBoHq4JtTtBAD1laKU1W1gpd/JKcRGws+7xoRiNhM7ebF+loZQ9rh6AaiaS95fgnv+/v4myZEUoMryLkWlNilBVzAWuMYLAcY1a9ZA0FTCAgFD7S8YKdgp5ajicCrhkEDl2LFjjSv973//e3zlK18xIFL767uCiQKsGzduxOrVqw0AvZZhfaQE/QNjxT722GPwo0fRN77xDZO8SHNOwdjdu3cbVabOU8pRu+y//e1vpgxdw0q0FR8fb9Y6zz33nIGpAq5SiCprvZnXsHx99vWvf93UU+e7kDH6ddwsQl5BYMFRnfcPf/hDA4bNF91/XAtchRZwAehV2CjuKbkWcC3QZoErBkA12dBNX/BT2d6//4MfIIUZwodI+cmYn/rxpZuLFZdOUzczlW078d6+0KRJkK6e4OOQYn5yAhVPJd04TnKkwtTkUJNIJzcWyUUk4WdJqRXzk/BzGSdWik3pMeUnF5KqSNqpFOzbvh2R48ZiDuGnYrgZpYM+d3Cz7CplUjNjUybRLZwxP2cz5mdMrAE7NKtpbweLNBNgwaRKJizYvW0LY6nWYQnt6ufvZ+zqPAww3cPAwUxC5QvZ3heYBaFnEkmpv9KuBJAHGNz/1LGjmJU4G1OZxEHKPV0XTtbTQAiWdzozExteeN4oPxXzcxSh56w77kTgeCqk6wlbOKk3PYgN2xcAevCVVxE2fRoiCUAFVSsLTiN1+1bG/BzKmJ/L+QBkkFF+mvKsAglD+wZAM5h0IO7OOw1sTefC6ti775iYn0GEK48so/Jz1kJjU404WnQ7M/KoqQiTaFtlJd+yYxOVnzVYtmQFwhiLrp4gxFJyOHddmrbk+Wu8S0lPwc7d2xlfNIKxKZfwPXsccBrSWcpPjWuK+XmCMT/jZsYhNoawvhXsONlfrfFEdqUC3Li9b8M5wjor23ugcc+2ynPWrjqawGBmdqbJMB8SFEb1EO3K60Ju7/rtWL8xXce6bwnIKdv7sRNHETcjnqBgFq8HghYW5rRdLag8wISm2bF3O4pLirBiMZXKQSG0q7P9VX1V56/b0hZme//N+teQUphnQNWcgGjj9j5uRADjUNJTot0duq8K0NsnJWLMyNEGfhwoymTMTyqVg8ZiSUSMcbE38m+rk5l/nQCgqyfNNTFGz9GG/8hMxolyxvwcP8fEFW1sEQ6z+qoUogM5XhTVVOMXhz7AibMlqGios5SfjPn5EJWfwxjrUw8azIMT2rCBu/YVgH59OTNaD+5vXM/XMebnrsxq3Cq3d8X85BRJI0bbuMjynACgq2eOplKSbshUfj6/vwgV55oM3A0deQF+qgF6AkDVpwQYz7NTHcuvwWOvpuFkcRMBcz/MYcKj70+bbJSfunjsGaaSFPUVgN7LzOrT/EeYc91bUo7/S8nFvNEj8UkqP315LmpdW/3pCADNL8aP4mKYRb4/4ed5rCX83M5ES3eNDUYcQ394cTwizjabytPE8GpWgCrep5SQgYGBOHjwoAF9Co8lAPjss88aV3W5wEsFqvWDoOYjjzyCF154wbipv/baa1jEpJBaYwiGKg6nQKnmikuXLjXQUtDzm9/8Ju699178+te/NvMrjT8CnVKKKj6/yvj5z39uvqO/BT6lvKyqqjJQUv1LsPNLX/qScU2XslMwVFngVbbOTRnmpTZVtnqBTG1KlnQn5x+qi+Cq3N01x9M+qqcUqc8884yBnVK/6rw0/5M9brjhBsidXy7+el8/7uZa4Gq0gAtAr8ZWcc/JtYBrAdsCVwSA6kavyYMCkr9J5acmNnpyKvi58NbbMPcTN5mYn1qAKfmIMytJazkqt2WVK+VnDp+mxjMW5rhxhDpcnFsLK4cnFDycJjelJSXYyVg/imM6n5OzQMb606RGCwlNSJ3ZpFfTYoiLb9o3le7nSaxnRGQk3bPnUfE10JTviTLlqtfYRKgs+Ek4OIsuTOPojnTeQA/V0Nl66nCyaxkVtfsZ80lP8OfwabmfP93eCcicraPVBbXIpFkZezMVB/nUPiw6mjE4FfNzgLG71YrWv31vzwv9tZEL5SSWJ7sqkVRMa7Z3dR1H7coDejOUQBHVBu+tYczPVrsq2/uM224zsT+NGzr7l+m2OkW+6DsAnY7o2XNQmHIK6SxzCN0Sx1ORPXAw4/6yLS3lp21RqoD4Xq8UoDzv4vQ05Ozdg2krb0H+IWYk5/hzjoubILq9P7joJqycRQWfN2N+skXlDuvYxrYSiFScsc3bNlM9V4+li5cjiIl5TH/luak1ndp0/Uv1qbEgNY3wc+8ORISGG7d3n4FUfhKa6Zp1ctPoozANirl78PB+HD91AnFTGfNzipTKVkxl5xdsAoPeTI5RRYXiVirrG+iCvoixVBlWpE1Z77BddZ1QLZjB0A/79u8xbThXyk8TS9V5l0S1pTcfoMlTIOnAPrOoT2DMz6lTZ3A84oNE/WcuSGdb05vA4CzDCKjvnKmuwvy5CxESZMX8tPqOM3Y19WO/kQv6hhMH8NsNryOV8FNHnye395j5iGbMzybOG9rDT9W21wC0ohBr0w5idcxsRI8IxLY8PigsTENC8FjG/VTsP2v8vfSa7BsATUNmVTE+PWURqggy32W29/wzFbhhzExM8g82MT/phK9qsXS2uVG8A29lHcafT+5AFe+vfibm5yi6hYdgGBMeKYakASHah/2krwB086lKfOvaSD5Q6McYm+XYl8OER1MDEKeYnyyLQ4rV38w58h/+3VcAyqNgdUIQSqrr8VfCz3NUmN47mzE/lfCIHg66l6svqEW6C0BlC33/POtxOO8sfsLYnxtS62ijfljMmJ//zoRHcnvXDV2joI6vx4l9BaBPMrP6Z8aFI5ZJjnaeLsFLWQWI5+s7o0MxiA9MZEOVZW9OANC3CUCfSIjlcRmPMqcAu6k4vSOKCY9MzE/ed+zC+PtqBqBqM21KdPTqq6+a8VSAUuO75ndnGNpEakklHRJQFACVUvQ6elIpI7zgo4Cp1KG2e7j2O3TokHEzV/xiJR26jXOZk5wby6VdqswlS5YY+Kh7pTwI1q1bZxSlAqYCjlJpas0ihanc1ZOTk805RnJercRMY8aMMR5sAp533323Aaeqiw1BpU7dsmWLUXEKftrnpzigUrkqo7s27aPz1XHSONdTLFOFAGjgw9HoaHoZcU6tRE+qq87V+THfnIb7j2sBRyzgAlBHzOgexLWAawEPWeCKAFDVRU86165da+LpZFJtNiIoyMDPhZycDOBTz4sSHlnzoj6ZQBM/TaMFP5OTDiCbi9c587mwEvwkUNFn7SemfSqsdWd7sqnEPDsYz1BukUsZJzEgUMpPxU5jiQ7U7aJz5WJBthP8PMAJYdQ4JnFYaMWmJI3kpIkLrNaJ5kX79fIP266apB3mxFQxPxMJr8ZSMagJoGzqtF2tg3KyWlmBnZu3mEnjQk56/TiZtBJJecKultmyOCFN4sRUCY8S6YauTXEOLeBq/nTmH2M0Zt6lXQXrU6mKiGd/naKYn1QJqd84OQG2lotUhvBa/MczT+MIlZGCVoKfcavvYszPMeZvcxXZDaq+y/7WVwAaGReHoUymcphK8KFURSvmp7K9S/2t4/P/dlvvAagOVJ6bjbQtWzEiJASn1q9DLWN+Ro4KwqPLbsEtsxawHJPuxPH2VFuVlZdh2w7GpjxXg2uXX28SHpkYtRoHnLxKWq9vLahS6fa+gy7h0dHRWDh3ER+CKPEZxzuH4acZU1hHQcfDx5Jx8hT7a1wiY34y4RFjHJpG5OcXNWW7Vu3Vy9ZroKq6knbdahaOy5ddiwDG/GximVokOr7RpmrLLD4827mbUDk8AvMZ81OKT413LNThOvLKNHZl+IsD+3Hs5BHMTVyAqZOn0eTSCBojOFumjMaGqj1Xi627tnKxX07l5wqj/JSrvRVWxKmW5PnzJqLkQltOHcIv3n8FaUx4pKPPDozCwzGLmPBolIGfl+s9vQWgqQSgiru5OmYOSmqrDYxcHD4F88MmGBDR0S2yTwD0dBpyq0px+6TZeCstCSmVhbiF2d6nMKP8xRnseT9p7bsb8k7id8e3orzhHPwJPx+m2/sjC5lAR27vNJ16m90Sut77AkA3pVRge3oVvr4sHJtTqVLn69VxozEzojXmJwtSaW3ltfaTvgDQvx8swaABXlg4YST+tDUf5xpb8PBCur23U362L6+7ANRcGRxXTxTU4L/ez8LWjDoCZio/6cL8w+mTMVnwk9erDT9Vlb4C0KK6evyciYUenhRNpW4jfnsqE0tG+9PtPdwoPy+FnypT8yfNPnvrAv9BXhHWFZTg+3GT8F5uETYUlOEzE8IR3xrz01Z+qixtKk+teDUqQHVm2jSOap6uTSpMbXrP/pHruObPGoelqpRKUp+Z/s/5kt7TwyhtAop6X8fTd/S+wKn213vaVz/2pu9rjLNCisC41NsPtrS/9tNcV9+zj6X37e/r2Pa8TO/re/pbZek7uq5VJ/1WPfSZ9rE3ex/7c5Wl81dZtoJUQNgeH+z93N+uBa42C7gA9GprEfd8XAu4FmhvgY8UgOpGrhu8YucoaPjPfvYzyN1lEN054q+5lgmPboEPJwNSeFkZidufal9ec6XATZORlBMnTUKgGXS5nUiFopIgcQ7CzZ5m67VT23mTNXf/7j2opMpsESFdIEGvIJ0nyyw8XYi9TOoilxnFNu3PyZOlwHIaCFh2VRKZjNQUHEs+jGlxszAxdrKpo1mheciutecEsvfT/b3CZHv3Jzhr5KLD6RiK6gnqGQINZcUl2M9M4X4ELIrB2Y+TWOP27qH+o8m2QPZRqhqmUakweZqUdNZE3+n+o2uzmurETS+9ROXnTtNf/E3MzzsRPGkimqiso3Fb+23r9aHm54n0CoBy16b6Ohxi5tMhtGc9H4hoUh/LEAY+rdnZdWyrnq3lmV99A6Al6Wk4wCyyNcVFaKCixH8I1TmJS3Dn7CWmnbXAdhRmt/YNxfrcs28Ps76XMNv7csJPxVBkJlk9kHB8Y8Pw/8KiQmwjwPKjunUJy7QWclS6f9iozpwBbZeWmYZDyQcwJWY6phLWN1G9bJnA/OtMOW1H4cKSfejgof1MIFGMxXTtDwoOMnZ19v7RWqCqQLsKZO/YuQ0jhvsxThxjKlMBbjwIPGJX3TMJslNTmfRoP1Wf0xA3K96MdTorjxTJ49az3Y4cOYys3Ewsnr8EoXxgIAWqvbhX2Y5stCmnBDiam4Hfbnyd2d4LTBmzGfPzUWY9jxzGGK5t3hkfLrE3AFTjTFpFEdamHsQE/yBknynGzNFjsDBskgGxauOOtt4DUMaCZHzRYyV5BJmDTfk3j09AzKhQ42p/AStabSq168aCFKw5tZMxP89iFDnQF+YHGLdwAz/lik7A1/6q0hjeWwDaQhK4hdBz08kKTA0diiOnz+ITU0YhcdwIeDVqTNR98JLyZCS+3xsAqnGWj/HwenIJys420u5MDsOs75+fH8IHUgRC7ZSfdluoWboDQM08k8PqMcLPH3+QjY1pdUwKBNwWFoLPjYtGHEPkqNP1v+Ti6SsALSYA/QUBaMyI4TjAsDxTRgxlAiK6vVPdrHYSAL106wsAbeH5b8wvwRt0eV9E0LqnlMrP6OCLYn627x8q++MAQNV+NlBsDyf1vubw+q0fjUX6bQNBGx7qb/2Y+rbuo8/0ff1I2anj6Kf9d+3va95lbxor7GPpGPrMLlffsT/XsfR5+/PV5/Y56zN70z76sY+l+3L7rf0+Kkub3rPLst9rv4/72rXA1WYBF4BebS3ino9rAdcC7S3wkQFQ3cA1CdBTT8XoUUZHZVDU+wOZ4TkqJha+Q5npmaov3eAvnbi1P+mevrbnnXIlLsjLgy8ha0h4uMlibR/LyfLsYwqaVVefQQnrGci4QCMVm5KLSNuly/6eE7/tOmohXlpcTPB6ziQ9Umw8KUIvXbw4Waay2BbSrgN8BiIsMoITO7ZhawH2byfKs4+hup6lq1Jx4WmMZsbN4cwWalyzHe43dnn6relrKYGS4jZK/WkUXx6yq8rTQkVP/wuoNBvAwP7hkVEmdqs+0+asXdVT+6GCULCAClfFiB1F5ecsxqkKlEKaYJm0l9elVXbbv2oIvtlTAKprXocyyVw4FlSdLkAo3fonLKRCUQ9AeI1wtv/h8kzBvQOggtX1TIyT/NrryCTgbWogfORZBBCATo8YQ3dTXif8T0DSvpba6tmnF5bq+izjU+YV5SPIfzQCA5jwSApFGoHLmj4dvcOd2TcFQM+crcbYMeMsVb0ZW52u34UzkLI0ryCX9fJGVESUgYLGmB6BvFa5NefO4nRRHkYHhGCUHxPkcIzX+OpJu5bwQUHVmUqMjeI4QPh5Xg/sqKh1tt9csKsemOXSrgM4lkdyHDCxVDVAfOiCvLBPX1/V1tUi/3QuAvwCERDAJEHGrp7pry3nm3GyIAenq8qM23diQCQeilmI8XRNr6NtLXx0+Rr1FIBqpJP7fh4zqz91eAtdvb2wImoq4edEk1zp8qVceLc3AFRl+rDt9p/OwCspezHSdzBuHhdP5WcYY5qy75j/LpQhsLmzMB2/PLoJJYSf/oP74fOM+fnoQivbu25Gl5tDaFztDQBVzNp+VGHuouLz11vyEEnXc6P8VLZ3glYlDNJm/XvhPE1/55s9BaDaT14TzQP64bX9xXj9SAlig4fgc/NCEDziQszPy5XXFQA1x+aO2eW1ePytDGxOryNL7Yd5VH7+fvYsjBroY0bc9m7hdo16C0C1n9qjmtfpN/adQH4NXaGZ7OjW6BAMYv+6nPLTLlOXsXpATxWgbBZzj1R2+e8cSKE7/1DGGA3HTCk/Ofa3V7baZem3ylNL9kYBqvAAb+bm45H9ySYZ0F/+8hesXLnSgETBOSXo+e53v2u8u+Lo1aGM6Xq/N5v6srZLYZ/9fvtj2t+xP7P/tr9jv2//bX9uv2//bX9uv6+/O/pM37E/0297H/s9+1j6bX/Wm33aH0evL3f8S7/j/u1a4GqwgAtAr4ZWcM/BtYBrgY4s8JEDUMXY+cUvfmEyvmtypCenvKtzIXmps05Hp9y39+VyqnIVC9SemPTtiJ3vLcgj8Kv6ae5pTes636evnxqbcoKmJ90fRXk6338Gu0pFqz4jRe1H0XdsuwreSYXg6TKV7Ejg0S8qEjOZ8Cho4iTrIQHfa10DX9w11bn4QU8BqDplPy4My5ll/tCbb8IvPAxTrrseA6iMMufAY162PFN6zwGo7NbMxWkWQ0Ic+vvLaGCMLRrTHE0gW2BJ3zHVubiGjv2lhxCKu6kkSBp/tJA3a1HHSvjwgTQOqE4aB6yBwKrzh7/pzDs6ugknwsazHrx4vo6yq1TRSuokcPSR2JUPmdRfTOzf1n7kjAUvfxQVYezK+n10drXUVh9Ff1W/MVnYWb/EUZF4OHYhoqn8FJjrSiHdEwCqK1zHE3Dcmncc7zEB0fVRM7A0MtaU1R240FMAasFPb5zlA5fXUvYZ5ec9k+cz5icVtexHl8JP9YAm9unfEH6uzT2KoQP74SuLAvAgY34OV8IjGutS5afda9QnewxA1blo93peQy8w/ub7zJT+1SURiI9mzE8DWvlxByOV2k0f9QSAah+dJ6kqSpjt/Teb6fbOBzNfWhyOqFG+OM9M8JeDuypK+3YGQM13eOwWHvvNw6V49OVsltUPs/ng+TtTYzFr5HB9pcNHTr0BoOacNJBzzNtxugw/P5aJa8MC8NkJEUxgxfs2v9DZON8bAKp91G/qCJGfScnG23SD/+a08ZhDFajKEnLsCDv2FoBKE9mP967Xs3PxhaTDHgegLM7dXAu4FvgYW8AFoB/jxnNP3bXAP4EFrggA/dWvfoUf/vCHVET6I3bGDAxSnB/O3Gz1VWcTxp62iQ02ChjAvJIqrIlh4QZCaMKqibYnNpWpiXoBlUJarIQwMY/ZWJ4WWU6XahYFLKCOme2zi4oQxCQyfgwrYC/4PFVH2bCUyUdKmRVzbGgIVS6EdHzPU3ZVPZRlPpeu6FKlRAQxcyztLEDotE3b26yJKp2cwiL4Mfj8yKFDTZmCWFr8OF2u2lL2O8OA/WVV1QhlvFhBCE/1V7MYZT3yCSNPMri/F+NhTbn5Zkz9xCeY7V1u70y00VEljQF6DkC1kKrIL8CJDetRnp2JxLvuQejkWDQwrIFpy47KM43SMwBq+gcrUF1UjN3PPo3SU6esvhMShhmTJpvr0SCRjlaM7TtCT19ztalrsCI3j32GqtqoaKPe05jgyU0q+pL0DAwe6Y/hQQFGbaWO2mE79uVkrNU4zjEURWVBIUaPoyqyNaaaB4Wfpp+UZeYYtXnA2ChDR1Q/T9SRl6Q5bnMj1fUZWYxTO4phG/yMXVVH+/O+mPFD+5pryws15RXsuyUIHBNJu8pVkvcPT/RVnUDr9VyWlWtU3wHjo63yPGhXXQtZ+bk4cOIYBnkNwDdnXIcVVGN2pfzU6WrrPgCVYsvLuD3vL8zEm2n7eG/uj4emL0PYMD8qsi3PE+uoHf/bEwCqa78/x89G3j/eTj+AbbknMT0wGg9MX0L4aZDShwpS/5Uq9MnkD7DhdArGBXhj3RemYMQgKtTpFq77Hr9y2U1jXU8AqBn7af8GguZ1THj0Ct3RI0f64nEmQfJljFGTYEn97bKlWd1FH3YXgKp7mTL7c95Ad/en9xTiYP5Z3DEzkFnmA9GP9etsfqT9uwKg+lyJj14+UIwvv5rL2Jve+OmMKbidD/W8TCiFDiqjY+uH9/XuZoHX+aj+LSxjT2EZs71no5ZjxA/jYzF2xBB+oKRdnW8aPnuiADWXKNusjrZ6J+c0/pqeh3HDh5oYoD5dqE11Jr0BoC08R92XS2ob8N+HT+KF/DyPAFAJBUz/4HlqftWdBxKdW9f91LWAa4ErZQEXgF4py7vluhZwLdAdC1wRAPrLX/4SP/rxjzGFGRy/8aMfIZRQUmDLU4tXqTDXK+NzWhq+cPNKDCFw1eLEU5sWxFILvrdnt1EJ3ThnDifXHiyPSgAlpihknNFXN2/FohnTkcD4pvUmXpFnaqmJqiao+xijcu+xE7jv+msNdFWiJytJhmfKrSeUe3PHdvgymcuqJYtNcgzPlHThqIoz+NqmzZhBReRMuoY3eNCuoilSJ2cSSO45dhyfWLwQw6mMbFIbcyHi9GYSOHGx8e6rr+Dn//U9DBg4CDNWrcIkxuJsoWpSC58ON7Ma6xkA1cKmIj/fZHH3ojKxrqIcY+bMRcSsmWistQBoh+WZD7oPQNVHjdqS12LW/iRk7N6JamaPPc94nLddcyO+9+jXqBwkpOTK1yO2ba3IwbfWUtnagDn3fAqNTCzjyetDRdaxfruefg6Rs+IwaclCNDIBg6fKVBfwIgDIZfzfo+99gEUPP4Bh/iOoHOYnHuivqp/6rMJC7HvxZSbqqcOCT9/D94QvPLcJOtZV1mDX83/H2AUJGJvIOJxt8aOdL1f3EG9mjc4+eBSntmzH/E/fjSF+w9mPPGhXHtqLECXppbWorTyDBZ+/27owdDIe2HRUb963Xnz3LXz71z+D/4DB+E78jUzgwjAqpj277kDdA6AaOwVUgIOEn7tOp2LEwCEoYzKyWyfEYczI0QZSdqfDdheAGvhJW9YwjMk6ZnHPrChhHM+hVAX2x52T5nZqzXrC0f9JXof1BKCTRvfHxi9OM0l0dD3pYU1Hm8a77gJQA5oM/DyP94+VIYkgcsRAb9QxWOaji8IwcrClGu+4tJ4BULW1KbNV+fk3ur5XnGsi2PU2LverpgewZh3DVtVZx+guAH2VAPQLr+RiBENU/DZxJq4JDiQA7bwf9wSAmvrQOHrgu59Z159Lz0X44EEGEj4wMQJTdK2yD3dmP1MnfqG7ANR61kRgzXZem1uIfcUVGDagP6oYMuY7MydgmDx+eGKdldlTAGrgJ6+dIt6b/5aWh/V8GHPgTAWGMqTA02vWYCXj9svTQPdZJ13gZRt3cy3gWuDjawEXgH582849c9cC/wwWuCIAVC7wP/7JTzCdiYj+43/+B2ERkSbGmKee+MpN8r19+3E4JQ1fuf02DB08xLildzpT7GPrCwSu3bEDPlzErpy/AJYzah8P2uHuXOBxaSTF6d82bMQyJiKaS0VdHRdfnrKpViNaUO4+fgI7Dh/Bg5+4CaMYi1NqF0+VqeWR6vTK5s1UqPjgHiaVEoz0ZDuqzFoC0JfWrUMckzslxMZ41q5sYy0m0gnqdh4+jFuXL8cI9leP2ZUrJsGBt158ET/51uPGDX36bbci9vrr2+KqdtLtTCfolgs8y/HiYk3Kz5StWzGIatrx8+bhOJOhBcfEIGp2IhoYt7ZT4GpOpHsAtA1+ctGbdyQZOYeSERAVhZxdu3A2Jxurb1iJn/x/3zK2NgtVhwlo21KbL5Jef40PRBoIse5Ho6ljZ0vUDq3drQ9Ubt2ZGmz78xpEJyZi8vKlBKCega6mjmpXLrxzkg7i0FvvYdmXv4BhVEe2mIcEztdT7cr/Cep9sfu5F0ym8iWf+7RHAajKVL+srTyL7U/9FeOXzMGE+bMtsOxwv1EjG7uy33rzesnal4xjG7dg8ec/jaEGLHdPqajj9GS70JbeVEq/jvqKaiz64r2m3oKuAsBObipPdlUIiufeeg1ff+L78PMZjG/H3Yg5VEl2pJC89By6BqAa3xg6gGrPfczCvjX/JOYGj0fIUD+8kboft09MRDRjjTbwvtWdG0l3AKjg5wA+xKrlA6R3Mw7gVHkB7pg4D1XM5J5SXoh7YudZIO/SyrT+fREADeyPTY8RgPZnA9BonV1Rsmd3AKi+RzcD1rmF8LMcu7KrsTo+EGfqmvHBiQr824oIutt3A6bpfHlCXSlA1dYCl/1Yh9Lqejyzl7GJ65vxMEHr7owqNPJhyV1xo43itNUEl/1lH0fu80k5Z/Du8TI8voJqVR5XVdJmK0BfIQB9lABUUPC3CTNwQ2gw40h0/pCkuwDUFMV6C2/uKS7HU6k5WBocgBUho/Cr41n41LgwTOe16iQANfCT/biB48KbWQXYyXLvGx+JasaSfjW7ED+l6nQwgbvs0GkfMR92Lwao4ozqgUgxHzI9RXXrQD7oGuzrhR8cPYkhI0fi6acVA9Q5AKqY58qWrlMcxIe+/Tn+uZtrAdcCH08LuAD049lu7lm7FvhnscAVB6DffuIJJiSKYAxJJlrpdOrWyybhbEqKoff278Ph1DR8edVtlgKU73lsY5nK8Pj2zl0mvuDNC7Tg8Vhp5sBahxeUluFFAtDlBKCzYwlAmbiic01F385JZQqA7jp6FPffeCP8mf3UxB/1RDvqVFlePSfJr27ZgkEEoHctW96txBV9qiXLrKPS6+V1H2AW4WcCk3V5FCzzZLXoyMjJNQD0luXLMJyKZZNYSgb3wKbDvv3yywSg32oFoLe1AlAqQDsrU32an3cGQA08Ui9knQQ/03Zsg+/wEZi4cAEBjw8zsr+MsOkzEJUQTxd4gbquSEvXAFRlCiLrdw4hcj5/wqdPxyiOMzv++Hucpbp29fU347//9ZsmIYpc7zqtZy9tbl/ySa+/TiDYgAWfuR8NZ892o469LLB1tzom6tq25mlEx8cTgC5GA7MTe6J+Kk519GbbZh84hENvv48Vjz1MUCcAasV2bj0lx34Zm/KBlgGgz/+Natc6LHrgPo8CUFEF9d/aqjMEoH/D+MUEoPMSPGtXVtR7gLcBoMc3bcPiBz/VCkCJaTq7JvtgaV0vUp3uef51KrOrsfALFgA1Ny8PDD3yiujP6/T5ta/hG0/+0ADQ7xCAJjoEQAUiTTxJ2utAUSZ25qdgVtAYLAidhPTKQqxNO4g7YxIRNdw5AKoyfQiKzjbWW8rPyhLcMGY6pgaGY3teKjKrSnoMQDd/iQCU/Y/No1tgh5varysAqu8Ifirm5z/o9r47qxo3Tx2FuPHDse1kJbamVOIbDgJQXa+mTLm9M9v7C/uKUFXXhE/FByFytC/+vq+YfaCfAaDGB73D2lljTXcVoC8nFeMxusAPbwWg1zNEDycnnRxdQJM/7I+ducCb+rAROCJgX0k5ns/Ix/SRw/DJCZE4x2SBTzAL/GeYjGiqgwC0vfLzLbq9b6e7/SomWJpNVeuW/CK8k1dsAKgSLnXZR0wH6hqAGvjJdimurcdzVH7WcTx/KDYau0rL8bl9Bx13gde8UclRBU30UGT1ytsQt2CuAdqeDKnUaYdwP3Qt4Fqg1xZwAWivTefu6FrAtcBHYIErDkD/44knERoZyezojDfowYWdUYCmphKArqICdDAnVp2rAfpqewGrd5htWkkrVi6Yz0ykmjp7atNCzwv5VIAKgC5jBs45H4FSUVBFbto7CUAfuOkm+FPVp3iZnmpHzd3ruch4ZesW4wJ/N9WRlnLHU3a1Fpy1dLt/6QMqQAk/EwiW65nQwlN1VE20AEgnpDMK0GUCoEM8aFcppLyw1ihAnQegqo8XoUpFXgFObtqAQSP9ELNsKQYOGkKAdA6HXn0NYQzZEEVY5wQA1WLbdnfNYUzT7KT9iIqL508czpaWYMcf/mABUCpAf/xVZaklUPUcU1L1kcSFXUtzI121P4t6DytAVZ4A6PY//4VQmQrQFTYA1Sce2MRT2L7ZVIAmr6UC9EtfwHAqQBWHtFNa09tTYXlqYx+6wEsBeo4AdPGDUoB2Djd6W5z2UyxEQaO6qrPY9tQLFgCdT8WyAct9OXIn+7JPehGAZjPj8rENW6kAvc+EFmhuUmftZL++fES7qi33PEcAWk4A+sX7COtZmJ7eeaBMtaOSu/31zVfxtSd/4CgAteAnkx3yHrWPGdU3MaHQwtBYzAudYOqSVlGEtx0GoCpT93t5JbzFGKPpVUW4bfxsxI4KM/epvafTkVVdgrtjeqYAdQqAGhBJ9WSD4kceLcOe7CrcQeXljNChxiZbUyuxxUEAqsvGlNka8/OpXadN7MrPzQ9B6HAfI8h87VCJuZVKAeoEADXzLJb3Bo/70Es5BoD+jgrQ6xwAoAKRpk68P+8sLMWzaflYONoPtzPjuy/fKyEs/MWxdHzaQQBqKT+9CKyb8Vb2aWyR8nNcBGaOGmHiwW7IL8Y7/JEC1CkAesHtvR5/OplpRpTPT4pC4JDBeDUrB48dOOI4AG2kWvqRRx7B3//+d5O071f/9d+4j/cSPZzUw0x3cy3gWuDjZQEXgH682ss9W9cC/2wWuHoAKBVSnlhlad2mSfi7coEnAP3K7aswhO41//8CoFqf92t1gd/UpgD1JKiTXQVAdx8nAD3yUQFQKlcIyl+5SAEq10XPbZYLPBWgH3xAF/gYxBOCetKuqok3FUQXA1AqQD0Gli14vvall/Djx20XeOcUoHKPLs/LQ/qO7VSXDkLsimvgw99ykZbq+9BrryJ0mjMAVNe5FktSkxQcO4qcAwcQxmMrFqb6ak1FGXb+kQCU6lq5wAuACja3EPDwY8c3LZa1Jb1GBShd4C0FaI0FlayPPPJv7dlzBKBr2gBoowdBneooiCUAeogAdLntAs9kIJ6AZjKY2vmCC7znAaioh60A3fbnCwDUo3ZlmZYL/KGLAGiLBwEozUoFqJcBoLUEoIs8DED1CFLX31/fIgB9wkkAeuEhiJSfO/JPYeboKCwKn0zoxniFfOCTUVnkqALUgp/eOMf70zpml5er+01jZ2Lq6AiGL2k2Stfd+WlXDIAaEEmY3cixbt2JMuzIrMbKqQGIHzsM/RpoL0LDzWkEoKecUYBqPmLKJHAtZbb3Fxjz8zTd3x9eEMps74OY7Z36X57PqwedAaDGxZ4DjlTFLazLsztO4+trCxgDtD+cAKAa5zSetbBeSaVV+NOpTCSMGkk3dGV79wbTP6K4rgH/czSDADTMEQWorfysZ+Hv5BRic2EJ7owOxdwgJtXUPYu23Uj159sFBKBxzgBQXZPywijkg6Vn0nLZn5vwUEwUQoawzfjZGzn5HskCL/f3b3zjG/gDH1D6DBiANb/4X9z5+c+6AFT9zt1cC3wMLeAC0I9ho7mn7Frgn8gCLgD1UGN/tApQF4B6qBm55lEMUBeAXta+WhFxQXh5F3im66BLXmlmFjL37oHvsGFMyLMEA6m+blZ8SC6ymqikdQqA2vBT4S5yDh9C7qFDiJhB13qqP5WQTAD0XGUFFaB/bIsB6gLQy7Zqj95UF3ABaI9M1q0vGxhpYoC6ALQzg10cA1QPw8yghAF8iLSnMA3bCT8V83MeM8s3taqE5XafJgCa6oALvPEGYExaQjDBz/cyDppj3zo+ERP9Q1mm9YBOoHd3vhSgxR+pAlTJyGyOmnTuAABAAElEQVQFs9ze36fb+x7G/LyNWddnRgyFN4mXLKa4mptTKxwDoOZ5EkFkSVUDnqfb+1k+EHlgLpWfI3yM0lOfN/MfpwBoM8d9QdcWigWP5J3Fj9Zn44NTdfDjNfS/fVSAGvsIfnIusLuoHE8z8/rCQD+sGhvCuJvexoAqu5gPmpwCoFJhKuFVPeslt/fdTLR0R3QwE4T58322qdqMfWp9Hl3gHQKggp96gFhE+Pl0ai7jjTbjkdgxCBgotS6VmKzr6zl5HgGgUoD+67/+K37/+99jAAHos7/+Pe56+AEXgKqd3c21wMfQAi4A/Rg2mnvKrgX+iSzgAlAPNbYLQJ03rGCkqwB12q7OKkBHBgcznEWjSYxTQeXnMSpnR4aEYMLCBYSfQw2MFDTVAq6JcfKcAKAW4JSb3HnkKubnkcNUfk4jAJ3VGhvSUobWMOO8C0Cd7T8uAHXWnvbRXAAqcGgwj22Sy/5uD0DrGWZCIIr/I6lV+ZkYNB5zQsbzUOyprSRLMDJNMUAdAKBnOIb5EAzV0oNlXcZhKkuLceOYmYgNDDXxqa2s7QRWVJ3uKbgCALSRZVNpacPPXVlVuG16IOKihjErurgnoSE723mHAOjU8KFMnkdYRvhZxpifzzPhUWVtMz4zJ8goPxkLyLQR5aFoYjs5AUAH8kGbHRv0EJMjvX64FKeKz2FDWp1JgvT7PgBQRUpSpnd1nb0lFXR7z8Ms/2H41IQour0TGJo+pa7qHACVilX9Rtne36Tb+7aiMtwdHYaE0Rb8JHLlOenHOQDaRMCp66KEEPc5JnVSf/kM45oa5Sc/kwXO86GCpwHo7373O6MAffY3f3AB6GVHPPdN1wIfDwu4APTj0U7uWboW+Ge1gAtAPdTyLgB13rAuAO0aCPTc6s4C0BEEoMp+W8mER6e2bsbwoGCMZYZ336HDWuNCWoBCK0qnAKhUn4IeOcmHkHPwAF3e4xE5cybOU/lpr0+9uHiTC7wLQHveQzrbQ/Z1FaCdWah3n7kAtKcAlDFZeb0L4ijm5+bcY0x2FIMF7ZSfNlB1DoCOZ0zLZhPz8+30/UxwVIqbx8cz5mcoAVKTgVhW618hADpbYzFM5vD3GPNzd041Vkn5GTkUXoxQofCuuqc6CkDDhgqVMdt7A9bsLiQYbsGDVH6GjfRBP56LlPi6i0mx7xQAVRZ4KT+Tc8/gWapN50QxFjnvCV95PQ9DGZO11wB0yhgTlvQ8+9QeJh56hsrPBYz5uWpMKAbxfuLFOpi66B++ckIBev/ESGOjeoLitVR+biH8vIcxRhMC/NifONaakqhGZZlOAdDpdOVXRYrPNeD/FPOTrx+cGIWgwQPZfxinl2Wy6QhAvT4yAPocAehqVwFKq7uba4GPpwVcAPrxbDf3rF0L/LNYwAWgHmppF4A6b1gXgJqVlsOGdQqA7mbCnWvhFxaGsuxsZnvfAZ/Bvph6w03Gra6FihJRSoFKs/UZgG7H2bJyJN5xB0FqE2N+HkFWUhKzvc8w2c/pO9cKP1Ug6+gC0FbDO/vLBaDO2tM+mgtAuwdAtxecQlltDe6cNNu4uCcXZWFr/klme4/G4rBYCg45DqiTtm0EOhwL+qoAnTIqHAsjJ6Hk3BlsyDqC42UFWDkuHlNGh5mYnxbmswv9aAHoUztPY4iPFz5D8NhA1/MPTlZgW3oVbpnOmJ9jqPykaW34qTN0CoDeMTMQ06ksLalswN/2FyG/qh5fWBSGSH9f+rvrPnPBKk4A0HeOleHxFZHwYV2PFdTguX2FGB8wCPfMC8b7yaV4+OVcjKALfG9igJ5kwrOvTBsDBk/BAbqf/yklhzE/h+NexvwUcJV6tu1WZl70HYAOZdKzz02KZpzWFrq9F2HL6RLcRdiaGBzA8qjQZFvZZToFQO9mvNJZhLrFNbVG3VrNhI+PMNu7pfy04KfpI/zHBaCyhLu5FnAt0B0LuAC0O1Zyv+NawLXAlbKAC0A9ZHkXgDpvWBeA2ssfJ23rFADdg6nXX0/VZQtObFyPQcNHYuLixSbhkVQkF8FPnX4fAagA69mKCsSvWmVUnzmHkunyzoRHcnuX7Imb1EbarPigrgLUGMPhf1wA6rBBWw/nAtDuAdAdp0+horYWqyfOhmDozvwUAqNxJuZny3nKHOUrfNHmDACdwaRK00ZH4tWU3ciqLMG/jEtAjH8IGlmm5fbevtCPGoAy+Y9vf6xOGI13ksuwj8rPlXR7n0XlpzdBpFzirf/MMOwYAL03MRj+wwbgOWZ7P0c3+PsSgxB+GfgpyzgBQN8/XoZ/vzYKR07X4Pn9hZgaMhSCsAPpm/7K/hI89mpur7LAr88pRlp1Db4wLRq7TpfhhYx8zKECc9UYxvzsT+Unz9/EVW1tYquL9R2A+g8cgLuZ4f2t7HzsKqnC7VFBSAgcxfJ4j2ZZ+rE3pwDoA5Mi4e/rg6dP5Zi++yAB7GhfKj85AAm42purALUt4f52LeBaoDsWcAFod6zkfse1gGuBK2UBF4B6yPIuAHXesC4AvXQx74SN+w5AizPSkbFnD8KnTUVxWhoG+A4i/Fxk3N7lDi+Y06b8tE+51wCUYiImURIAPVNaipCYScz2fhDhTHikpEcqT5sNP/XaBaD1H7a/DOPA5gJQB4x4mUO4ALR7AHQbkxxV1NVg/MjRWJ99mPE+J7bG/KRR1Tk/tPUNgCqp0d9P7sV4/yBU19ciuSQb/zI2DpMDw+mCz+Ru5r9LC/1oAKiUnI28RUgB6jvAC2FMOPTBiXLcPnM04qNbY37q1NorMflnXxWgZ+ub8MSmPFw3yQ/J+WdxmomPPjc/BBEdwE+dQl8B6H7G+vwH63ZDjB9eo9pzQuAg3BUfhEGMZdpCcvfKgRJ88ZXeA9DMMzVURo5kMiAqPwNG4h6CSTvm56V34b4C0EYe4HfHMzCEcDWAMHIDlZ+fHBN+UczPS8vsKwAtqKnDb1jmDRFBSC6rwhnG7f4s3e/Dhg42DzHbw1a1lwtAZQV3cy3gWqC7FnABaHct5X7PtYBrgSthAReAesjqLgB13rAuAL10GeSEjXsHQA3U1D+MC1aWm4Oj69ZxldSCUZERJtu7z6DBTHjE5Anytbzc1lsAyv1aWE7Gnt3I3L8PQ/z8EcGER5FxcW0xP9vDTxXtAlAXgF6uC3b7Pfa5fky0Ult1Btv+/ALGL56DCfMT0ciEIR8C+90+aOdfdAFo9wDonsIME+9zyAAfxAeNxaKwSW3Z3tlqlzFyXwAoOwK3V07uQWZ1KVTmtVHTCT/DTMzPy8NP7eF5AKozk9K+ifDv+b1F2J5eiQg/X9w0ZZRRfnq1uqBfqk7Vfr0FoAoyYu7JHOe/934WKs81IdJvIO5JCLqs27ssYW99AaD9mGDpRGENnlyfC//B/TEtlMrPuNEYxPfPs56gi/rfDxT3GIBSL8wgm17YVVBmwOcgH2+6vfvhdio/faX85EXZlvTIrgh/9wWACiy2MJnRn05kYldxBUYP9sGq6BAktmZ779+unPYv+wJA1Wpl9Y340aEUVBN8ThoxFPfSFT54yKC2mJ/ty9JrF4BeahH3b9cCrgU6s4ALQDuzjvuZawHXAlfaAi4A9VALuADUecO6APRyC/q+2rn3AFQLe+/+/VFw8iSOvP8+AseMwZRrrzVu7y2Myylo1OHGdWpPkyBZINMLTQ2NOLVlE7IPHsSU6643CY8kM9Xnl8JPle8CUA+COtrXTYLUYS/v9QcuAO0cgAo8D2CCm7fTD2IrEx7JBX1B+ETzcES263jrHQBVYp/+zPZ+tr4OTx/dypiJVfjk5IWIDaDbOxMh6d7U8fYRAFBVmg+b6vlw6Deb85CcV4MvLwvHTCk/mQnejvl56VnKVL0BoNrPjLeEjsVUfH7r7QwMYgzLx6+NROjIgR+K+XmpbbRvj5MgcR+j72eZW1Mr8fONucxoH4DVcVR+DmDNzIc8L6pAewpATX14CBPnMuM0fn0iDZ+dEMEYnOHw5X1Mdrsc/FS9egtAtZ/6TR2P8eMDp3CsqhpfnzoOcaPp9s52bB/zU+W033oLQGUi3Zcz6OL/7/tPIIxxur8xbRwTHvl2CD9VrgtA21vffe1awLVAVxZwAWhXFnI/dy3gWuBKWsAFoB6yvgtAnTesC0C1DHN66x0AFXD0IvysKCjAsQ/Woa76DBLuuJNJkAgEmEihH1UtnarjuOLsCQC1ICaz/XJhmHv4ME5u3oQRISGYc9fdWolbi/EOCnQBqAtA+3TVsK+6CtA+WfCyOwuqKCP7X996FV974gfw8xmM78TdiMRAJYLpCIBaMFFAL6WyCC8d34mxfqNx7+RFaKIL+uVVn+2L7zkAFfwcQPhZ01CPdZmHsTnnOO6MmYvFkbGoa2pgbMZOHvSYonsOQJ9MXkdX6BRMCuyPzV+aZiAch7nLYlaNbyKcDVRifnCyHM8nFeOmyf64mzE4vZo4TvMz67/2drBec88eA1B7Hykxle39r/uLkcQM7F9bHo4ZEcPQwvifatfO7lY9BaD6voDhedblSN5Z/IlxRpXo6TvXRWEo451K/aokSzbM7QkANcelHdhK2FdaiV8dy8S44b54fPoEutRL+Xl5u9vW7A0AteFnPc/7/bwiKk4ZQiAsAA9OimoDn531qt4AUClcvdguRbWE+Cm52FNciW/PHI+4wJGdwk/V0wWgdmu7v10LuBbojgVcANodK7nfcS3gWuBKWcAFoB6yvAtAnTesC0A7W1L21t69AKBab1NFUp6XhxTG4qyvrob3wIGYfuONGD56tInReTkl5kVnyGN0F4BaAJOpILgIzj2cjNzkZON+PCI4GLNW3sL3tTzreLP2d5MgdWyh3n8iGOIqQHtvv472FNPyZgbrrH2HcGzDViz+/H0Y5j8CLU3s654YBngipky6D+957nXUlldj0Rfvs0JYmCRmHZ1p79/vKQAViBTk0k8SXd/X5xzDgH79MXZkMG6fGN/mht75GfUMgNrwU6Dz3fRDSK8sRj1jEN86IR4zmWm+lu/rvtT51jMAWtfciJ8fWY/1TOrUFQDV2AYqHhvp+v0us6IrNuaZhmYsGDMct88ajX5KekR7dXSGun5taLg5tQJbTlXiGysiMFxQkR9eup++b8oU/DzTiGf3FKKstpHZ5lvw0LxQTAxhDElBV5bZ2aZjdFcBqu+qXLDMZNbvVcb8bOCYP5Ln+NUlERjIeKc6WdXSrkt3AWgb/CQY3FNYipeyTqOB5x8fMBwPMCamkh11XhMWbb7Q/SRIBn7SPg28rl7PKsB+Zpmvof3mBY3Ep8aHd6vMngJQfV/9oKSuAc8xrmnhuXqcbWzGFydHY4r/cHWCTuvpAtDOerP7mWsB1wKXWsAFoJdaxP3btYBrgavJAi4A9VBruADUecO6ALSrpVhvbN5zAOpFVUxFfj5ObtqEQSOGI3DceELJQ4hdthwjQ4IJNun+3sUCWCva7gBQLX6lWtHvHILP3EMHETZtOhrOncOZkhIkrLqdn7kAtH3L1549h+1/XoOohERMXrHYs7EqWbALQNtb35nX7O4uAL0IyVggz4vK8n2F6diWexwT/cMw2MeXyYjO4fYJiVRAmiiOXTRA9wGosJvc3usZJ/HdzINIqyjCTWNm4nBJDssOMZnmzzVSXX3ReV6ueJ07AVtBOrKqi3F3zDwD6i73Tb2n2Jo/Ofg+1jPDfWcAVGMiSSPBL5WfTAi0PauaCY8CcZgKyQGEop+eE0xX9M4BHo/QBg27AqD6rinTwM8GPMtYo4r7+cnE0XiJSYfkjj4jfBgBaItjAFRlajtPf/Bk1uv5vYVIiBiO6ABfrDtVjn9bFmkSPlmE9EJdugNALXDJfXiv2kcIqYRHS4JGYWT/AUg7cxaPTRlzUbZ360w+/G9PAKjqo7jYgp9v5xSahEefGheOQyXV8KFdPzcxysDcD5dy8Ts9AaAW/JTys57KzxweqAU3RQbhxbR83DEmDHFM8qTkgZ3NLlwAerH93b9cC7gW6NwCLgDt3D7up64FXAtcWQu4ANRD9ncBqPOGdQFoZ0uU3tq7ZwDUgp8FSN2xDT6DhyB2xXJUFxYxK/t2TL72OkiV2Uxg4AQAteGn3N7zjx5FVtJ+E+8zfPoMpO1kFviSUiTcTgDKzzvbrOO4CtDObNTbz7SgdwFob63X8X4uAG3vzm7Bz/58EJJUmIWt+SeYoTsaS8MnY1PeCWaBP0sAOpsAtJEG7WqM7B4AteFnbUMD3qfb+8nyAtw2IYHgMxh/PbYDUwPCMTdsApV7zgFQXUsDCVwzqkrx40Pv4QRhaUcA1IafjSR/7x8tw/bMKqyaFojp44bh6a0FGDbQG/fNDmZSoM4tojJt1WRnAFTfs+FnGZWfzxFEltU04uFFYRg1eAB+tC4b9zAR0dTwoRz/6QLfxQMwHasrBagpj8dpocDzWEEN1aanMTFoMD45Nxgn+PfbR8rwrWsIQKla1vWiza5LVwDU1Idd5TyPv5fJh/5Ml/A5ASPwSao+d+aX4URlNb4ybYxYYZdbdwGoytQcRm22NrcI206X4c7oYCqJA/DHo2kY7tMfDzoMQHX6Ct9RQsXnMwS8Z/lw8tHJY3l/Bn6WnIb7xodhxigXgHbZyO4XXAu4FuiRBVwA2iNzuV92LeBa4CO2gAtAPWRwF4A6b1gXgHa1uO+NzbsJQLnCNDE/qfxM2bYNg4YPx8TFizFw6FAUpaYgc99eqg2vdQyAavHbXvmZx7ifETOmI2LmLLQQSqTu3Ima8jLESwHqAtCLGt5VgF5kjr7/QXLhxgDtuxkvPYLgTFcxQAUi5U7tbZSfGczQnYKE4HGYGzqesKsF2/NTCEBtBagzAFRlKuZnLR/kvJdxEBl0e//EuDjEjApFXXMD/n5ij/MAlEO7kjrlVJXg9dT92FaahaKGGkwM9MaWL02/KAaoAYOtys9/HC/H7uxqrJwWgPhIxt+kTdfsIAD1JQClAvQ8OXJndw1BORsadgRADSwUYaRCUfDzhf1FqKptMseP9PdFDV8/wYREq+lyP80hAKo6mnKpZD3M+KIvMM5oLN3r72QZvqxbUvYZvH+8DI+v6DkANXUWAeS2t4QxU9PzMWvUcNxNNeSAAQOwKacIKdVn8eWpYxwDoO3d3tfmFGBbUSVWM9t7QqCfabM/HM/EcCaResBBAGrH/CxmzM/n0/KYIKsZnxkfiZAhviioqcOvjmbgXheAmn7g/uNawLWAsxZwAaiz9nSP5lrAtYCzFnABqLP2bDuaC0DbTOHYCxeAdraU7a2ZuwFAuWIUAKok/Dy1bSvh5whMWryI8JMLbrpflmZnIWPPbgLQaxwBoBfgJ9pifoZPm4aoWXEmCVILk52kGQBaTgC6ygWglzS9C0AvMUhf/2zt/7VVZ7Dtzy9g/OI5mDA/0bOhBVjmP3sMUIEqK+anlJ8Z2Jx3HImEnwvDYgjH+Ckh2Q4C0fK6GscUoDqucXtvIvxkzM+MqkLcNDYekwPCTIxRQdeXT+x2EICyRMK4gRxfc6rK8GbqQeMinVlXhT2EoO0BqEClYlLaMT/fIwDcllZJt/fRiFe2d9JPQa81TBA0dKCXIwBUl44Brq1u788w5ufZhhbcT7ga4cds7yyzli7vP12f4xgANeXRJnJ7P5R3Bi8yqdOkwMG4K57Z3glEVf8kxgJ9txcAVOYTjGxRSIKiUjxL+DmXSYBWj2W2d5VJsLwhpxinHASggtJKRKWER2tzTmNTQSnuptv7nEB/ps9Sj+uH3x7PcBSAGrd3KqZLahuw5lQmmli2YpoGDxlsrhvFAP3l0XTGHHUVoOrj7uZawLWAsxZwAaiz9nSP5lrAtYCzFnABqLP2bDuaC0DbTOHYCxeAXhkAKrd3k/Bo6xb4DhuG2Guugc9AX8LPZi7WvVGSlUEAuscRACrfPCk/W7hgyztyGNkH9iMqLt4oP8HyJERSzM9UJl+qKXcB6OUuLheAXs4qfXiPfc5VgPbBfh3sKjDUkQK0oaWR8JP51fmznzE/t9LVfU7IRMwPnUjmxj01EBAc7WCiIKcAqI4o5Wcdkxy9k74fKWXFTHaUgMmBgp88H/7XTJ/ylxwFoGDsx/7IpfLzlZR9GDrAFyvHx+OPJ3dgXcHxNhd4AVJlOu9H+NfAxEbrCP92MubnrYy7OSuK8LPV1V1u5Wt2OgNABVzFmaX8LD1jxfyU2/tDC0IQ6T+I7vVydfdiGIBmxwCoDT/l9n4knzE/9xVhasgQ3EH3+kE8j/NK6kSX994A0PNUQGpTzE8lHlpDl/AEub0Lfsq+qivvPRuoAHUKgKo8hYNp4MHf4nE3F5bgHipNEwNHsTcxVio/b+bnvz3mHAC11KZWtvc1jPnZRA+Jzxn4OYj3bIWA6IfTLgBV07ibawHXAh6ygAtAPWRY97CuBVwLOGIBF4A6YsYPH8QFoB+2SV/fcQHoRwlAr0NzQyO8fQYw4RFjftLtXe7uMcuWmtif+kyqFhJQZwBoQgIamLzHq783OWczCo4dI/xMQvj06YiOSzDQU4tjLSYFXl0A2vHV5ALQjm3Tq08IRlwA2ivLdbpTRwA0ITCK0KbZwMikwszWmJ9jsDRiMpPH8KGLQFXr5hQAraXiUyBSMT//wZifJ8pzccv4REwJDGeGdZbZ6kjuLAClq71Xf+SfKccbaUnwIXy9fWIiBg8YyBig72Pj6dQLAJRgTqfQSAgq128DP+n2HiflJ7mehmLBykb+dgKADmOGdcGyfgMIP6sb8Fe6vZfVNOGhRaEIG0Hlpz7T8M9/aph13gkFqOCmtha5vbcmPJoSOgSr46j85HmIe5utlwpQhUqRMnJ3UTmeSs3FgtEjcdfYMKpKveHFolV6i4MAtJnlKRZqI+9b7zDm5xbG/LydMT9nBwdQrcvPVBmeD1MGOgZAmcCeMZm9UEzAqYRHZxsbTMzPoMG+BqALuKrhXAAqQ7ibawHXAp6ygAtAPWVZ97iuBVwLOGEBF4A6YcXLHMMFoJcxSh/fcgEoV0uObx24wF93nSmpnG7vqVR+Dh7pZ2J++gwabACkFlHmbPjbCQVoZHwCmhirTMvQHMb7VMxPwc8oxvyUckeLUyuxkgBokwtAO+kHLgDtxDi9+YidzwWgvTFc5/tcDoD+R9wNmDN6DJoIjaT8tGN+zgmewIPZBOzCOOgEAI0cFmCOXNfUwJifh5DGmJ9SYcaMCjGZ5b2skc5UxgkAehezwOthjoBndnUpXk3ZixE+Q3DLhDj4DRpKF/M6/PzwemYITzEAdNNj00ym8wa6mivm5y4qP29pg5+KlayxmDbhMRv4yxEAOrC/cUEvq2bCo32FOEPI+WkmVVLMT8FPhSYwG385AUAVP1Q2kQt6MmN+/jVJys+hJuanlJ+C3ubhF7/TUxf438bPwHVhISZm7N7icjxDt/cExvyUEnMgH7h569itvcspADrFfwTP+byBn29kn8YOJlqyY34KQgp+qkypNZ0CoFKxmgeSzPauhEeN9JQwMT8FP3kuKlPlqWQXgMoO7uZawLWApyzgAlBPWdY9rmsB1wJOWMAFoE5Y8TLHcAHoZYzSx7e0yKunouGVLVswyMcHdy1bzgWqsgV7blOZtfX1ePmDDxAXG4P4mFjUN9RzDWFWEh4p2Jtu5em5udhJCHjrsmUYPngwmlRPj5T5YQA6g3E1Y2+4AWXZ2Ux4RLd3xvqMWbrUivnJLLJyEzSnwoWjXvQFgB585VWECXQmJqLh3Dnk0+099/ARhE6bSvgZxxVbi1m8WfBT5nYBaFedzgWgXVmoh58LkBAuuDFAe2i3Lr5+KQAd6TMY34u/CbMDx2An1Y9b845RLTceCxjzkwOBGQd0/bff+gpAb5+UiHEjgwx0fC8j2cT8vHHsLEwJiGjLKt++xL4B0DRkVhXj7th5Js5odmUp3qLycyCTH62aNBt+vkNM6I/6lib8T/I6rCcAnTi6P7Z9ebqp8nvMer4ji9neZwQiTm7vNKClIjT409jHCQD69eURGDakv3F7f25vEarrm/FZxvxsDz9lEw3/ao6+AlAd5q740UadqYRHf2PMz5hgKT/p9k61pwqygatxy++BAnRY/wH4feIMXBsajLcyC7C+sBSz/IdT+Um3dwOOeWxTEQuvOwFA7xsXhmkBI9HQ1MyYn4XYdLoUd40JJdgfxfbi/dYym6rtCAB9u6AYP46LwRAmcCpmzM9nTmUbpbQd81PKV9NPWstTo7kA1Jjf/ce1gGsBD1nABaAeMqx7WNcCrgUcscBVAUBDIiLQTBc0j2yaP3Oh8O7+fTiSmoYvr7oNQwiUusoc3ddzkdvcu7t2caHTHzfPn2cyrfb1mJ3tL0BUUFqKFzduwrJZszAnNhZ1hIVaqHhqU5m7T5zAriNHcf+NN8KfmcGb5C7oqUJ54Hq6KL66dSsVMQKgy+ie6FkAqsrU1dXjpfXrERcTgwT+1PEcPFZHNpZXKwDdRRh4y1IbgHrOrmrHtS+9jJ9863EM4LUx8/Y7EDxlCo6zzoNGjsTka1ZggM9AKi95IfG7bXXXwpF/9AWAHnpNAHQGIhjnU3FEcw4eQCSTHUWxD59nX7KKaN+hHAKg16/Ej776TROD0MTWa6uUc1eLzl0/Sa+9xvGmEfM//Vk0nq2hSEdLYM9sKq+WZex46i+Ioqp28orFrcl62tvQubJVnhfhYHbSQSS//T6WfekRDPNnZmMu/i9Aa2fLUwzYAYxBu+e5v6GWquHFD9zn0fFc6inV8VzlGWxf8zeMXzS7XRIkD9lViq0B/ZG17xCObdyGRZ+7l3YdQbu2eMSuaiFTT8ZX3PPcG6irqMaiR+9lX2XcReuyd64RW4/ERxutMUBfw9ee/AH8Bw7Bd2fdaCDRuuwjmBcygfBzEppbYzca2nbJWfQFgL6ddhCrJ81F8NAReCN1H1LLiqjCtGN+NhFUfbhtewtAFdd4d34asqqL8Zkpi/m7BH8/uQfDGPPzrtj5TFrkQ+CqmJBKlnMBgMYE98fGR6dh06lKbEmvwG3TCT/HDocXExFJ+dn+HNV+fQWgm1nOt6+Lout0M55lwiPF/Hx4QSjC2yk/bavo2peJ+gpAWQ3ckRiEZGZ2f55q06mhVH62xvyUNFfwU2WqvJ4C0OEMa/Cn2bPgz7ACTx5Jx7KQUbibbu8D2c8FPm34qaqwqD67wD/JzOoPTIjEhBFD8WZ2ATYRuH6K5cUHWAmP+qugdpsTCtC384vxi9lTUFrXiDUphJ/sRw9NUsIjxmllyAQbfqpYVwHazvjuS9cCrgU8ZoH/x955wGdRpH/8BymQUEJJgBBIoffeBEGKvYv17PXUs53e/7zzmtc89fT0ziueelbsioq90KQJ0jshBAgpkEYKCenw//3mzYSXkJ5dwbsdPskb9t2dZ+aZ3dmd7z7FA6Cuqdar2NOApwEHNHDcAeivH/8LoqKjUSZY5wKEkI6UufXTb1dhQ0ICfnzxxWhLyFPBbfZB3gE9HlOFLEA/ZqbqQLpYXTBxErOzmuXCMfs5s4HxuLgUShUAnTcf00aNxIRBA008M2s54Yyco2vRsmT51i1YSou9m845B50JQAUk3RpHrbaqLEBp7XDF9BkoITh3T576SwBKC9A3v/rSWH+OoRWoD4C6d/YoMciOPbQAJQCVBWhYaBvX9KoctEru8eFbb+Lhn/8cga1bI27SyQhs2wYBXDwOnD4drSi/wt/y054GOqWbAUDLaEm7/v330H3IELQk0NqxZDGTHY0w2d5JY8wVc+zYOgFAmbH4zPPw8H0PmHhpehlyrBzbyaZ/Sj3sBlbPrgSg192AskIBUPfOHbVWAHTxcy8gdvRYwuupBKBFrslUHwXsDQD98DNMu/tHaNe5A+G1WxbLnM+5qA/iebrilddRdJAA9OZrudD3JThR/x0vHEQl+zIA9HlmgZ/MLPAnj/Pp1aV7lnFZpfWaAOimuYsw5ZZrqNcw81JA15wbxcikW/byV94jAD2AyXcKgBLWU9+cBh0vglmydn9tzmzc9xgBKC1AL4wegsLiAsbe7IlpPQcz5iXHVSdZLaWpAHT7/r10d1+Pc3qPRELOXqzLSKLb+xhafnY3SWN8yO1YoU0FoC0YK3lFWoJxeVcsU8X8bEVdK85oeGjbSk8Gn1R/ANonPBC/PDUKK5n1/LwhnassP40VIc8D/2FpLgBdEL8fy3bl4/qxtJbcnIV0ur/fPDESPWuAn9KMGRY2oDkA9J01mQwFAGPx+eLyvRjQNRQ/GNPNJDySAAs/rbzGANAfvZuMMF5Dt8TFMiZmGa1Aw3Fyl06MsepDgv7wU/U3F4Duo+v5k1sScX3vnkgqKMLnqel0e++OcV3D6Q7vs8L0Hy/TJ25ojgv8VynpTJaVifsG98LbO9OQW1qO2wbUDD+tPF3MngWotOEVTwOeBtzSgAdA3dKsV6+nAU8DTmjguALQ4XR7/d2Tf0UULUDLjQVo9cdDB7rIKgU4Pv72W6yNT8D/XXYpASizYWpR51ahzAoC0A+WLDGJFS6cfDKtWFyUx35ooZCSlYlXv5qL08aMxoSBgyotQF3QaaXeBI2WMlnN0vUb8MPzzkXnMJ8FqCurZcmkPLmfv7VwIRdIQbjq9NNQWibLYff6KLECnq99/jnGDh6EsXKBJ6x3U2YAXfwEQBevW4+ZzLjegeerLGvdkqlx/OCNN/DH+39KS7cAtI+NRdyEk9B7wgS0atP2SMzP6mrWKc1jm24BWooNc+aYFxSHCQi69e1L68+RfvKqC6Q8jnXTYoAyW/F+upA+8ywK9uzB5WdfiD//9JcEoEy65BIAVWtVVr7zDueDUky56RaUFBT4oJLvK8d/S2PFlLHw6ecQN248Bp8+DaW0knQLuuoUCKR15O5Va7D2/Y8w47670J7WThW0IHMP1PksQL956RUUFZZg6q03cD4XvnCpENQJ8hbl5uHrZ2eh79SJ6HfyeJQWU688/90oglmBtADdtWItNn7Jl1q330AA2tHcV9zTK2Xyhd2yF98xFqCn3H296LZrAFSvOAJaBGDWB2/j3ocfJBAMwtgO3XFuzDCMi+xNtZoJpk71NgWACkbuVtb1+G/RITgExczwfnrcMMb8FPw8kvCoJsFNAaDqhd55rEnfjSUp2xFMnbZRtve+o9GhNV/Gav7xu4cJgD5OF/h5adsZE7QlrhzVAWcP7oQxMbT8ZGWqS/tXP/OaA0CVdX1JYh4+WJ+Jru2CFeYTV9EtPSY8pCrm5zHypCBubCwAlT4EMit47JwNmUx4VGhGuk9ECC4ZEUFAycZwJ11b/jLtcQ2NAXonAaiy1I9t3xGXRUcxAREtP1m1uWRVWbXSHACq6mSB+dimHejA67aQ9+uzorrQ7V2Wn0diflYT2SwXeGWzX8LESv9hsqMhHdqBoVLxA1qbRrY91vLTym2uBeh7e1Lwo9Ub0LFjR7z44os4//zzTdJCWTgnMWTOb37zGxxkKJtRo0bh53yhqu0NKWV8jvvxj3+Mf/3rXwjmy+1Z/3gGl/3QN683tI6GyPH28TTgaeC70YAHQL8bPXtSPA14GmiaBo4bAP3Tww8jhm7al9x9Dzp17epzgXdpMamH6Y27diE1PR0zCAeDGT9SiwU3ix7w12/fgUA+AA7v18c88LsmT12h7vIIPlZu2Yr+MdHo1b07ygSVXdSp6t6ZloadKSmYxDiOoSHKNMplhFsyuRwqLy/H6m3xCKJ14tjBA83Dt2t6VcXUrcIZrNy8CdGR3REbGemD9W71sXIss3JyDAQdOWgAWut8dUuvlCc4tpIxTt//5z+Z9T0YMSdNxCi+KGhlEh75xrPG7la2tbEAVNeegFIFQbLg4IFMxnyjpWlPusKrn/q+drDUdAB6MDcXS//9NPJ27caZwyfgx2ddSpjQ0jcX1NjB5p1ZdvG+a/Uqrvgr0GfSZJSXMNETZbpVJLOMFssJixchPK43Ivv3Q7leErjQP9sH6TB7TxJjt27AwBnTEUyLYYUvcEWmzjnaagXSpXUHLewr2Le+kye5+0JL1wj1V0pL2h2Lv0HX/n3QpRcT9bitV947sncnI3XbVgyYMglBvB5du29Jr+onXYN3LlvJhGQl6DttIjf4tkvrbhS9uPt47RI89tEbjMkYRNfdibik92gmQarb8tO2pbEAVNBVMTd3MtHRs+vmo02rEFwky8+IKGOFeTRys1KOfDYFgEqHwZzvlqQkELquwBBat5qER4z5WR1+SlIVAGUM0G5tW+Llq/tgRHTbqmzvNcFPHadzoyku8BWabwkdl27PwaPzkjG6Z1vcUBnzs4WZ/mvWirkU2bdGA1DKUzb2ChK715fvw4eMbXrh0M64mImQbMzP6vDT9I+/GmMBetdsAlDixzv79MI9A/uiFWVq5uVHjaWpAFTHteBLy1wC0Hu/3WRc0O8e1BujwsPqhJ9qRFNd4PU6lG/vsIzWnw+siseZPcJxU/8YdA1txXvo0W7v2tWWpgJQyTvM+eiT5DTcvGqdqwA0iC+3X3ri77jyrlvNiy0PgNrR8z49DXx/NOAB0O/PWHkt9TTwv6iB4wZAH/rTn9AxJgajGW8wtGMnxjZza5Gux93DyM7Lw8HCg+gR2c1YS5qHd9dGnDL5kJ9F4KIFXnjHDu4CUMENLX6ow4zMbHSgJWZY27ZmceVaF7mMkFhB1/z8A4jsEkHrIWaOZTvcLHq4z9i/31gWdA3v7K7llzrCTgrK7cvIRLt2bdGeenXV2syIZOIlwpbcvHxEhIebOLKKe+hW0fI2afVKrKc1ZmDrEAxnmIiBtK4tL6alKxc9Gucai4aaXzYGgOr80IJGnykbN2Lzl1+i90kT0G/KFJ+bvamyNoFqReMBqK6NgOAg5KbtxaK/P4WiffswKbIPrmH8P/XNnLJunLamG3wxkbkPLXgOhXXvicME+G6Xw4RHOakpJn5raIdOlGmWy+6IVR+pxOID+SjIzkLnnjEmYZDxJ3VHoqm1BS0V8/am8VqsQMfIHr4XBG7JqzwdFdc0d28q71cdEdJe7ujuXZOmK3wxUZyfT8vl/ehEL4kWBB68kbjVS1+9vDbz9u4zIQw69ojyzecuiVS1mgsWpcbjpa3foCOtMR8cdTZGR0SbJC41Y7eju98YACr4GUgdltAa+8Mdq7Bq7y78YOAkjO7Wy1iB+sfTPFrKkf81GoDy3AkmcE1mtvc3tizjZXEYtw4/FWEM4VDG86emPvoD0P5MgvQ1kyApdqS51Go8wte+xgJQ6d/crwkisw6U4bllaYjPOIgHz4hFLK0xD9MMNIDXduXpf0QJlX+Z04JfNgaAGnmsUxanm1ML8fTSVPTuHILbp0ShNdtRH3BtDAC9gxagigH6rzHDMaN7JAL0UqaO0hQAKqAoDZXyJvLRnnS8umMPbh8Qi6k9ujJJVc1u7/5NaAoAFTyWFXM6X1L8Y3MikgqL8dDoAehRh+WnldkUAGrOE8o8RIj/amISfrp+k+sA9PmHn8Q1/3eHB0DtwHmfnga+ZxrwAOj3bMC85noa+B/TwHEDoA8/8ggG0Grwzt//AV1prVjuagzQw1i0aTO20/Lr2jNOR2irViYmJ5/pXCuy7FiwZq2xVJxOt17FHHWrmIUkK88gcP1k+QrG/xyEYb24qKNOBWDdKy2wPjER6+LjMXPqKehAd2njQuiizFLGovxi5bdoxSRI59BFW1ng3eyhdCc3+0+XLMOg3r0whHqVC3ztForN1DYXUrKO3ENIt3bbNpzKPrblYtkVvVKWOXe4mJo75wM8/cc/GiuzoRdeiIFnnMGXEvXEc9XBHOuGAlAtfqU3hZ9I27wRO1euwkFCszGXXIpuA/qjzLhq12cd2UgAyjYqgU3JwUJsY+iErR9/gkC6mF44+TQ8eNMdPgtQacG3Mmzm4Pkfzjorr4ONX3xJc6cyjLxoJvvIeJzUt2uFF0MJXRBXv8XkUkOHotdJ44zVqTsyK88fnq9ptDyPn/81xl97JdqEtaPBq+Y7N65MyuR5FMikMes/+AQlPGfGXHqRiwBU46jRYviNA4VY8+7HiGZW6eiRQ1GuZGiu9ZHnLSFv6qZ47PjmW4y7/AKEtGtX2U+X9MrroCVh3YY5X6KECZ9GX32huV7NJOH4CatzR3NdIN6e+yl+89xf0ZFJkH418kxmgY9l7E+9KKi/nw0FoJIl+Kl74jwmWFqUHI92BK43D5tGl+GORl5DxrKxADSI10ZqQQ7mJKyi230GhnWJwVWDJpnYprXJ848B2i8iEAvvHEo4yDnDnoq1jIWui4ZagLKqSvjZEln5DCuzJgPLmYSoP2Nw3ndKFEIVmJOlLiisOjREDQWgBn7ykEO0ltyUUoDXVqcjp6gc5w3ujHOHhPPc5vnAObO2UZe8pgDQf44ejjOiIjkHOwtALfwso94/TU7Hx3syaLl8CL8e0Rcx7dsQ5rI/0lEdpbEA1MyqvJ+lM/bxGztSsCwjF33CQvGbEf3QmtvrPUeMchseA9SO8WGOy8bsfDyyeTvmZ2cizEUX+CC5wD/1NC6/7SYPgNZx7nhfeRo4kTXgAdATeXS8tnka8DRwXAGoYoA++MSTvhighExOQyXz8MYxVhKkTwhb1hPU3XfJJWjbpo15sKrtQbs5p4WVqZiNc5YsZTwjJjo4ebKLC3Q982rh0NLEAH197jzMGD3KFwOUC3Q3AKj6qB/V/Q1jgC5Zvx63MAZop7AwE6PO6XGsGg8OWHFpGd5esAAhdNW+8rRTUcr/uyavUnARF81vMAboaIJlEwNU4KMSblW1zcE/lHgkMXkPlqxbh5kzTkX7NowTR+szp2X6zlVByZaYwxigD/3sfgNAh110EQHo6cYis06ZqoB6aAgA1eLXWn4mb1iPVFp/du3bH1mJCQbUxYwZg9KDStZT35KxEQCU7RP8LMrPw/ZFi+imvQf5jK1awRcFl599Ph79yS8r21SzJVbzh5TWw/y3cvZsWlOV4uTrb0Zp4QGj7+bXXVsNtB5mEqRFz/wHsYoBehqzwLsIXc08QLCkJEhrCSRn3HMH2oUzC7x5MeHGDOub7wKZNOubl15lEqQiTL3lBs6vdcON2rTVkO2mjzwvD+bmY9GzrzEGKC2WTRIkxgCtFdc0pOba95FMJSHb9a2SIC3AtFuvRxtlged9xTWZukbpfrr8lXdQlJ2HU+6+zpyrunbdGEkLQGfNeQf3PfJbWoCG4tejzsJYhwGo5ATzHC0oK8EXTHyUfGA/+nSIxA4mP7qw3xjEhkWYJHMNAa6NAaCSuTM3HR8mrEHH1m3RObQ93aQLmPV9AuFj7WPvD0D7C4DeRQDKeUzH1DUODQWgEm1gJC0uswvKMOvbfQyXcxhd2gcjaX8x7pnSg3GnaXNanzx1gQ1qCACVPME+/awj/HxnXSYGR+o57LCBu5fR/b0h8poEQGkBegYtQJ0EoBZ+lvLZck7SPqzMysUkxvv8JmM/rurdA0N5rcpzpK7xkvoaA0AN/OQ8lMGXPq8kpIBRC9CZL/PX5OTj9yP7oR1fmNR7jpgGNQyAmvFiD/S5kv36KCkdKaXF+CoznS+5wvCSYoBecIE7MUD//m9cduuNHgDVSeIVTwPfQw14APR7OGhekz0N/A9p4LgC0GGEHr947DF079GDFqD1WJs1YVDsGkPuw5+vWo2NO3bgrpkXoo1iG/LBu76H0yaI1DO8KRUEAB9/s5wPqQE4d9JJdS54miLHHuOTJwDaAqnZ2Xh73gJMHTUC45isR8l73AKgki8GuIKWX99s2oTrzz4LnZgF3g1QJ1mmn5RXyj7NXrSYADQIl01lgheCjxZW6drRwWKq5SKjpLgEbzO51IgBAzCGPyUuAVDbjQC6viampOCbDRtxwbSpaBfqLgDVOfLRW2/j0V884AdAzzDxFZ0AoFr8yqpVo5jCzPZJtIzuOXw4uhMor33vXXQfPBQxjM3rKACV9Q2TURQXFmD711/T/T0NcXzhsu2zz5C/axcuO+M8PHTPz0wWaoU0qLOfzTynVn3ALPC0AJ14zfUEoMwC76YFKNtaTBlLn38J0ZxfB06bzGzlJS72j/MoQU/ymnXY8PHnmHrnrWjbiQBUbveaIBwvBCk8n5QF/ttX32DCjWJMvuEaV18wafJuQQBVnHcAS154A72VBf4kAns39aprhi/Pdq/agK3zFmPyzVdRrwSg5cQgruiVA8X7ZAvKXPnqByjen49JP7rad66yLW4URoI019+rH72Hn/7lj8YC9Ne0AHUSgAp+BtHKVJ4CnySuQXzuXlzQewwT7QRjdvxKXDpgLK31Isz3hubV09GGAFC99ggmvN6Tv58yVhBeBuOKgROxNScNO/bvo9v9SXWGxHETgGokLfyU27syrx8oqTAu6DvSD+KrbTm4f0ZPtG+tcDZ1a8ScFbzE6wOgBn5KryR265MP4JUV+zCE8PPSCV3x+bosI+fyUQSgInx1FMlrCgCVC/zpDgJQAz85h5fxHjMnKQ1z92bhuj490J8hch7elIjrekdhiMMA1Li987kgo6gUz23dTY+iw7iTcUY37M/F+8n78OjogYyf2gBIbqbk+gGoOU+0L4HrmsxczErYg6mR4ahoecgkQQrr0AEvvfSSe0mQPABax5XgfeVp4MTXgAdAT/wx8lroaeB/WQPHHYD+6rHH0T2aWeBdsAC1AyvY+dmqVdiQkIC7Z870ASUt9uwODn/q4VEg8ONvlpn4jRdMmmgeWB0WU1WdDzC1RGpWFt6cx4zBzMA5YeAAA0DdBDtaiK/YvAXLCEBvPPtsA0DLZfnl1gKdA1ZSUoZ3F32N1lzAXjF9+nfiAl/EpDJvMUnQKELlMdSrWwDUN6CC2QEEoMlYxqQyF06bhjAmlSlzRa+CSVrjtMSHb76JRx5wHoAat0YuzHQNpm7aSPi5Cj2GjUDsKAJPxjldR+vIqOHDEDPaQQCqPtEapoTwM/7rRchj8rNBtKRtw9i4CxkDtDA5GZedeT4evo9Zanmukn+6w5QqJ5jVs9+j5V4ZJl13PbPAH3QtI7udEARAlzz3IqHyWPZ7srugjkJbEoDuoQXouo8+w7S7bmcW+A6E51KqbZGzn5rvglu3oqWiD4BOucldAGq6oXicdAtf/Pwb6DOFAHTiWOrVvSzweuMTIAD67Xpsnr8Ip/zwGrTt6LOwd+dk5RhRr7puVsx63wDQk++4xneu8tp1YywFJwP4YuS1ObPxk8f/4LgFqOqX27ss+L/ctQHbCR/P6T0SQ5mEaNv+VHy8Y53zAJQniyw/9+RlYc6OtYRSgbi43zhagLbBYsY6TWIs0CsGHB8AylHkEPO3Yn7ml+L11RnYd6AUP5wYiZ5dQrBw634s2p6HnzoIQI08zbF8kbg5rRCvrdqHfhGhuHx0VwQGt8Ds1Zkme7nTAPRt9u1OJkGyMUCdAqA++MmYn5zePkvZhwVp2bgothsmdAvHfr6MeWLzTscBqGzbdY/OYMzPVwgiD5SW45YB0Qzd0BZz2YZPUzMcBaDmPNGkx3Fbm5mHt3emEui2w0W9e+KL1L24zeUkSCYLvAdAOQBe8TTw/dWAB0C/v2PntdzTwP+CBk4QABrNzNrOx1PTg5ye4/QQ/ild4AVA77l4ps8C1CUAKpkq5QSgn1QC0PMJQI3lgu8rR39beQI5aQSgb8xbgOmjRmL8QFmAumP5ZfUq0Ll8CwHoRvcBqE8m4/BxMfsuLfrkAn/5NHcBqJUpAPq2ACjh52hC0BIX9aqTQ1AgkZDOAtD2tAB1Ayz7zh0B15a0AH0LD//8545agOq608JNFpapmzfRTXo13d2HIZawU2C0nO506wgHHQWg7JTc3ouLDiKB8DOXyYAGTD8VXZgJOH9fOpY9+wwKLAC99+fUtQ/O8lR2vPj0C6x+730C0FIC0BtQSvf0FoRpbpYiQtYl/3mhEoDSBd5YKrojUX0MIPCRC7wA6PS7b0e7zrQALZMFqEsyeV4F0QV++azX6QJfjCk3XcvzyT0XeMFIWYAW0QJ08X9erwKgruqVMgNowbx75TpsnrcIU265Bu2qLEDd0itlMtakAGgRLUAnuwxAZfCn6++1DwlAH3MWgFr4qZifXxB+bslONZafg7r04HxUgURmgf+YgNJpC9AgXgspdLGX5WdoUCvM7DsOnehxImvBlXsTsTs/87gAUF2nFn5m0/Lz1ZX7kFNcgZsnRCKqQ7Axvvw6IRdfb891DIAaeZSrmJ8b6Pb+Cl3t5fZ+xZiuCOU2et1jNl3hNR06BUAVe12Wph+uz8LNbyY5CkAN/OSkpui0HybtxeL0/bg0NhJj6PquwC3ZnGf/smknrnXQAlTXiMLCZPJlyyvbk3GQcbl/ODAOXfgCSFah81Iy8EkaAegoZyxAdZ5o3lbMT8HPVxlndHREGCFvpIlnP2dPirEA7ehiDFAPgGoQvOJp4PutAQ+Afr/Hz2u9p4H/dg2cUADUjRWz1uC1AVA3B7c6AJXLkpulOgAdRwAqUOeWtZD0WhsAdU9mzQDUTb0q3l5NANStPqovtQFQd2S6A0DVD/+Ynyl05+8xbCiih480AEJ6LWdMvnXvzUZ3QlEnLEAFVQNowVbEjOTbFy9BfkYGXcCnoXN0tIGwRYz9ufQZAtA9ST4LUA+AapiaVTSreQC0WSqs8WDdLjwAqrtM3aWmJEiCnzbm55eM+bk7Pxunxw7DwM5RhG4VJrP5TgLQjxwGoAp3szuf9SasRRu+oDuv72h0YuxPJbAL5HfLUwVAM75zACoNGhhJ6JjFmJ+vr0pHPuHnVWO6IDY8xIRVaEHwvTAhB1/HOwNAzXOXfpFuCn6+uzYDvSnrMrq6hxBQaq4+zO9mr800t7XmAlC9YFYoHEHKcv78Y2EK/vBlBsL4EsEJF/gjlp+H8QkTHn29LxszY2j52aUz4SfvOwSGGQ4D0COWn8V4LTEFxYz/e22fnohqE8K4m5ogWhKApjsGQH1XGgM4kObK7V2Wn8M7d8CFtHBtRQjLGzo+IAC9ffUGV7PAewDUNxLeb08D32cNeAD0+zx6Xts9Dfz3a8ADoC6NsQdAnVesoFlNFqDOSzpSowdAtYqtpYh+ceF3TBIkJqaSK60s5xJpBb1v+3b0HDYMPRmagSTSLMYVB9NYgDoFQCnL5/aubO8LkJtCt70zz0Ln2GhUqD20zCrM2Y+l//YAaC2j2aTNOgU8ANok1dV5kAdAm5IFvpxTjmJ+BjA0SgU+TFyFHUxCdEGvMRgUEVUZ55Me4AQ52i5Q2VwL0IKyYmNB34qu7nJ7f4eWn22DW+PSfhMQxji1ZZzvNINqvluR9t0D0EMys5QZYZAv4dHzS/eikNbZN9PtvUeHVr7v+PVhwlEnAOiQHm1N+AtZdR4mVF2flI9XaG06vEc7XEr4GcovdG5LJxX85RgAJVCVZT3vLpgfn4O/zE/BipQydGQs1n80MwaoQKTicsuK9wNafs5LY8zPvj1oGdkRLXXf4fd6GewkAPWP+fmfbbvNPfOm/jHoGtrawGPp7zDP47kOAVB5aZhB4bWzNiOHMT+TMa4L4SetWXmWUBh/KO99D4BKG17xNOBpoB4NeAC0HgV5X3sa8DRwXDXgAVCX1O8BUOcV6wFQLXucLk5bgHb1JWrhiimFMT93MhGYMrzHjBzJRZTwhG+xqD8cswCtOFQV8zNhyRImPNqLAVOnIaJ3L5QzfIEgrZIwFeZkewDU4dNH4+kBUIeVyuo8ANp4AFrMOLtBClVg3N43Ij5rL87rMwKDGfOzTMnyzDC1MG73O3L3OQJAD9CKvTXhZ8qBbFOfXOAvYmb5TiFtGbdZMg2qOi4A9Opx3RiKQomtWpqYn28wLmZafglundQdMZ1DSCA19xMaal52CoBGEYAyUVcL1rd1byFd7dMR17k1fwkyzwAAQABJREFUrhrbjdneqQ1OGJKpE1yWmo4AUI65gKGBn9tzsGRnPnIP0tJ1TT7acGyebgYAZaQkAzdL2d7PaPk5f18WLuzZDZMiIwg/DyFQ16qGmOPsFAA11qyEjYr5OWtHMvJKGKd1YKyx/DReDpSm/h4mVHcGgDK2sEA9Zcrt/d3daRjUoS0u7hWFYG5rqcmIRcDVA6BGFd4vTwOeBurRgAdA61GQ97WnAU8Dx1UDHgB1Sf0eAHVesR4ANSsthxXrFABdjkGMtdkxqjuTw5QiTTE/16xG74kT0bV3X7O4Oqy4u1r8qjgAQAv2Z2PMRTNNncUHCxG/8Gvk7eXi7dTTEB4ba7LYU7AR5gFQo3XHf3kA1HGVmgrFHDwX+PrnuyVp8YxlWYiZfcYSCh1CMZMpfr5zHbblKNv7WAwJ744SAz+P1KW4o04A0PFRfU1yutSCHLwbv5yWnyG4qO9YdGTMz3K+lPHBTw0nrROPgwWoAKiuT8X8nMX4m3l0e79Rlp9hwcby04BIfu8UAL10RBcM7dGGRv6Hjdv7S5Q5wlp+EojqnJZMjYRc8p0AoD+bHs144PQmYH1zmcF+Ad34LxoegdS80qoYoE0FoHcNjjNjKLviObsV8zMblxMKjorohADKo4+Dry/m1HIGgN7QL5qVtkR6kS/mZwnPo1sGxqBLSCtj+SmZKk4B0Ctp4TmcSet0nqyl27uSLI3r0hEXxnVHa1q9GmAtefzxACiV4BVPA54GGqQBD4A2SE3eTp4GPA0cJw14ANQlxXsA1HnFaunkucA7rVeHACgtPQeffjrCunXD7tWrkMrEWN0HDzaWn1oQW+5Z1XquuJpnAboEBdn7Me6yy3AwN4cxPxcjP30fLT9nIDwullaoSsLDM4aLUy22PQBapXlH/9DC2bMAdVSlpjKesh4ANXipbt0u3RuPbL78uKL/BOSWFuKLnRuxKy8TZ8QNw6DwKFq2yYH5CPwUjFSMZScA6OSeA7AlKwUfM85oa1p+XsCYn51D2jHmpz/8VPu/ewDahlDwGsLOzFxme6cVZk5xOa4d29XE/LSWnwZEsnVOANBH5u7BZSO7YEh0W6zffQDvMrlRbKdW+MGYbgiptPzUyy87Ek4A0E82Z+OB06IRSLg6j27vX+/IxRn9O2Fc/zC8vzITdzALfBhd4JsSA3RrXgF+PKwXSmjN+mlyBmN+ZmJmbHfG/PQlPLLw04yu6VTzAWi7oADcOCAOmYSfckE/yHvYDX0Z87NdKJPoHTLAVfJUnACgT25KxNV9emAoAegaur2/Y7K9t8fFhJ+tqFO599vx8gCoT+/eb08DngYapgEPgDZMT9/VXrrn6se/mHvyMYsz/z2+H383pG8N2ef70VuvlU5pwAOgTmmyWj0eAK2mEAf+6wFQuxxxQJlVVTQfgGbsSsSub7/FYFpeFmRlYseyZYimy3vMqNFcuNENtKYbLO/DzQWgRXl5Js7n1nlzafm5F4NOO4OWnzE+y08u3axY3fg8AFo14I7+occpD4A6qlJTmQdAG+YCvzg1HvmlRTi/10i8l/AtEvYz5mefMRjcJQrFzJjdsgrh2DFyBoCO7BpDMNURL29ajLZBIbh8wHi0a8XkNIqlWIPM79IC9D/L0ghig3DaoE54bnEqDpRU4Icnd6+K+WmtMKURXb/NBaAFJeX487xkXCOXe77sepbyh9MV/uLKmJ8S4g8/jVye4M2xAF215wC+3LrfZKxfRPD5Gf+eScvPcXHtVT1mr8nEnQSg7ZsAQOfuycDOA4W4eVAM5uxKw8J9+3EVLSXH0PLTJDxi/f53Yqdc4CNaBeP06K54busuQvTDuLl/NLqFhphFq7X8NJ3jr+YC0LSDxfgbM9YrrmgpXxI8vy0JYwl3L+pNy0/1T2NmhUkefzwLUD+FeH96GvA0UKcGPABap3q+8y+rw0/93wkAauutcZ1XrZfa1ym5/lXbNvhv09/+bWrIPtWPP1H+b9vu358TpW3f53Z4ANSl0fMAqPOK9QCo/5LEKf02F4ACmbt2GujZMaoH42+molv/AYgdPdo0UCDHgsijWsztTQOgXIwRbCQQsuakpqIDLU73p6T4Yn72ikM5M/EqWYO/TN08PAB6lPYd+w+H0QOgjmnzSEW6bjwX+Prmu8NYsjcBKczyHtGqHdZlJOGc3sMZ8zO60grziD6P/NU8AKos8rO3fYtOrdrSUi8fRRWlTKQ03sT8LKXFnnUrPyJPf303FqACmWWU9eLyfQwFcAihjP2ZmF2EW07qjriIIzE//bWq67dZAJTHF5QRgM5NxvDubbBx30FEtgvG1bQ2bU35xoqQk7G/TKMRtrU5AHQ1AejHtAA9KbY9libm4dT+HTGxbxhvKtQ1LU7fJQC9490mAFC2dX5yJrbk5aMv42Aq4dH50d0wsVu4ifnpb/mpfqg0F4CWsYKnt+w00DOIbueZvIfdwpifPZjt3cb89Ek68tsJAPoUAeiwTu2RkF+IuHZM3NWrJ4IZT1Xu/dXHywOgR3Tv/eVpwNNA/RrwAGj9Ovo+76F1lX4aClFNoj12uCXXZ15pmAakX+lNOvPgZ8N01pi9PADaGG01Yl8PgDZCWQ3c1QOg1ZclDVRcnbs1DYByXubKj8fS9XN/SjLWfvShgYy9J0xgxvfh/EpLpqPfwJkN9hePbxIApUwtzxKXf4P4RYvQuWcP9D15CiIEP0tLeZM4Gn5KnAdAS44CwnYInPjUaeBZgDqhyaPr0PXlAdC65ju91GiJb9J2MPnQKmbH7oAzYodhILO9+xIeHQvdfBpuOgDVua5a39q6DJsy92AIQeuZvYbT2rKtyTpfM/yUVC0S3M0Cr7ZpnisnoZv1zT58vGU/xke3wxVjuqBnZbZ3f8tPtUpFxzUZgOokJTAs4QP6Ax/tRHp+Kc4bEo5zh3RGG8JPfV2TTCNXbeXwNjYJkixsW7LurfsK8YfPk9CHyZzOoqXrGFp+BhhKR6HMPv/OmoxGA1AFS2B8BCxPy8bfCCT7hLXBeT27YhQtI/1jfmo3/9IcAKomV/A8fpru6HP3ZmEyZV3FDPPdQpjtnTqqbvlp5TYVgOo4WUXvLy3DA6u24gA/Z8ZG4iz2M4R9r275WSWPf3gWoFYb3qenAU8D9WnAA6D1acj973UPUUlPT4fGI5VGIxak6bNfv3446aST0Lq1735jv6urZarT1qtnsOLiYgPpQkNDazzMgk/VXUGPwFKu0wLpmREcHGzqaYjMmiq2bVDfVqxYgbS0NLMWkbyYmBhM4Fq0Q4cO5lDJ3bJlC1atWoUyxonXsSEhIRgxYgSGDx9eU/XHdZvaZ/Wm9VUJk/mW0/BHbfYAsnND4wFQ53R5VE0eAD1KHY78xwOgdQGBpqq4qQDUt6jXzWvntyuw45tl6DNxEnqNH28sNNWaOm9svC83FoAaa5jAABQdyMfGzz+nBWgKRs+8BJ2jo42rvcETNahINxPPArSp50fdx+nxygOgdeuoKd/ylPUAKEFNTUWvQAKZ3Vvfvr5lKbbv30sX9AkY0DmKVnS+mJ81H6namghAWaEyzCflZWPW5sUIC2qLqwZPQFjrNnR71yuZuoq7AFTXoFkM0PIxu6AMT8xPRmFpBe6d2hPRzMDuH/Ozeit1bFMAqOQZuYwVuTGlAE98nYKxBK43TohkPFRqg1/WBj/VBh3faAAqmbSQFMT7YH0mZjPO6B0nR2Es4Wcg5WkMbJsaC0B1HG9lKCXNfGn7Hnyasg/3D+1Tq9u7+mBLUwGo4GcLnlOZRaX4/Zptpu2/GN4HkW1DcbhazE8ry342BYAa3aiT/Pk2IxuPbdiJU6MicH0/Wn5Sr/4xP60c+2nYMhe7XhZ4qxHv09OAp4G6NOAB0Lq08918J4ime+2cOXPw4IMPGgDqL3natGn41a9+ZUCg9msIXNN+WtsdPHgQmzdvNlCxb9++mDFjhqm6+rrP7p+Tk4NFNFrJzs7Gaaedhh49epi2NUSmf5vt37Zvy5cvx0MPPQR92nI681H87ne/g9ol+UVFRXjuuefwpz/9yUBY7depUyfccccduPfee80+2la97dp2PItgcR5DvX300UcG5p533nkICgoy7T3R2no89dRU2R4Abarm6jnOA6D1KKgJX3sAVEs8p0vjAai9UfK+gpRNG7BtwUIE8Q3imEsuQbuIcFTQqqQFF0t1Fh7bKADK/VsSfhYXFmD7119j1+rViBo0mDIvZsxPX7xAre1qKr72BqAwJxtL//0MCvYk4bIzz8fD9/6cBj8tTdy62o6tqb6GbtOCU2X1e+8T0JZi0nU3oLSgkLqppaG+3Zv9u6jgIJb85wXEjBmLQTOmoIwulW70Tw1VHz0A2uwhO6YCXVueBWhN14ngJ+cBvsVfkhKPL3ZvwLjufXAFAWhReVkNMT+rq7YJAJTNCCZw3ZOXhfdpbSrg+sNh0zEyMhYH+YBau+Wnld04AFpcUY6/bPgS8/ZuR/+IQCy8ayihos+isrpGdP3pxRCCWiCLFpivrkrHIrqEX03Lz5lMSnSYLuF1gkge31gAamTqyifo3JBcYGTuP1iGX5wWg15dQnCI7veaV6u31WpDn5qTGwNAtT87wliUhzF/ew7eWJWBnp1amyRIchs3louc5GxfGgNABTC1mCilHj9L3odZO1JxcrdO+NHAOGOBqTtZnX0xXzYuCZIApmRmFJXg1YQULNybjct6RdL6s2etbu/++mssAFUfNW502TAJj15OSKLsUvx29AD079BOJ5EBoP4y/P/2AKi/Nry/PQ14GqhPAx4ArU9D7n6ve6Z+BByfeuopPPHEE8aKUPcdC8+ioqLwf//3f7jlllsM/LTb62qZLBFTGHbsyy+/xBtvvIGsrCzcddddpg7Jqw40CwsLsWnTJrz//vsGxA4bNgy///3vjfVpTfvXJdv/OwtAdZ794Q9/wNdcF2otImvPs88+28DO3r17Gx3ISvXFF180ULSgoMD0v2vXrgZ+3n333WYf1d2Q/vu3wa2/pRfpdeHChUbPX3zxBa677joDsWU9q+9PlLa6pYPvol4PgLqkZQ+AOq9YD4DWtQxrqr4bB0B9E68W44eZ6X0Ddq9Zjdbtw1BBE/1Bp55qssBX8AZZ7+TM1ViDAajWvgQAJcz2vH3xElp+JiMguBVC2rXHCL4Rq6+orZ4FaH1aatr3WlR7ALRpuqvrKJ6yHgCthp18lp8BhI4lWJC0CctStyOqQwSi2jB5CzOwlxEc1o2qpPHGA9BgQqPUgv14f/tqziMtKKcCk3v2x+jI3ihmW+qd6yizMS7wAqBPbJyLuWnb6gSguvYs/JTlp7K9Z/KT6xsM7NrGuL+TCNYJhVWHhYYLE5hJPT7XJBZq31oP2cdqU3OpBBwiFdy6txAvrdhnkitlUe4VTHo0OKpNFXSVtmsrqqehANTIpN4rKuHn0p35CG8TiAPFFbiHVq6Kdeqje0f60lAAauAnzzPFTv1kTzqWpWebxEldQ1vjBiYhkmVpfaWxFqDG8pOAWLE+X4rfw2zv5TTSPYze7dvgOgJQwdz6SmMAqKlOAJTjtnF/Pt4i4O0cEozUwmJc16cnhoeH8Tw6VO1qO7oFHgA9Wh/e/zwNeBqoWwMeAK1bP25/a+6bFLKM+RJ++9vfYv78+eZZxbpW67lFMO2qq67CH//4R3RjPgVtq+t5Rq7Y33zzDf7xj39gwYIFENyMi4vD/fffj+uvv96sCwVArWzB1w8//BD/+c9/DAQViJQV48MPP1xlnVkdmDZULxaAqj2//vWvjXWpPfacc87Bn//85yrIKrnPP/88fvOb38ACUPVX8Peee+6pam9dfbd1u/kpvalfsqx99tlnjeWnQGibNm1w55134pe//KVZb2m/491WN/XwXdXtAVCXNO0BUOcV6wHQ4wtANenqZqUJOoXwM3ntWvRgDJU2HTphx/JlGDR9BjpERhJsahFeT1u5KmsIADVu70GBKOZbu20L5qMgMwP9TpmGHMZ7yc9Ix5iZF5vFW11nm6/dngVoXTpq6ndaXHsAtKnaq/04XmoeAPVDMoKfQXy7X1RWik8T1yAxLxPTeg5BQXkJcksKcHHfcYzDKQBaX2kMAJVMWn7mZ+GD7SvRNjgU5zLJ0le7N6Ffp+6YGNUXhWUEoH7trFl6QwGobz8lWvrT2s+xoA4LUF13ApdK+CPLz1mEnwV0e79ufDd8xYzowYyDeS3/JjWss3W2nsO05qwPgGoe1f6HyRvX0e39zbUZGEzQeu7gzniK2eYvHhaO4T3bGQvQ+qxiVVdDAKj2k+Wn4OdXWwloE3Nx0bAI9q8F5mzMws9nRKM1+6rdVCzMbQgAtfCzlAd/lLQXSzNzcCWzvecVlWNjTh5+PKRXFVj11V7z78YA0Cr4ScvPlxP2oISu7jf2j8H7u/ea0AE39YuhzMrO1CzObG0oAPW1jVXyfrw6Iw+vJ6ZgYtcOGNe1E57evAtX9IrCiPAOHgCtQ9feV54GPA00XgMeAG28zpw6wtw3WZmsNV955RU88MADxhLU1m+/1zpt1KhRxrJQ0FDbawKSFjbu3bsXf/3rX/Gvf/2rypW8Z8+epn4BUBW7RtTfis0puCpYqrqtdeajjz5qAKjd364XrRz7f33qR8fqu5qKrEv//e9/G1d8yZaMyZMnG7AZzfBoOtYfgB44cMDUGcm16k9+8hP8+Mc/NnVrv+pF9dm2VP9O/9cx9sd/P9vu6sfYffVp+2Vl2O8EleWuL1gr4Kzv27Zta9z1Fa5A6y1bv79MK8vWo8/qxcqqvr22/9vxqOn7utpQ0/4n4jYPgLo0Kh4AdV6xHgCtByo2SeW84TFBx0dvvYWHf/5zBIWEYthFF2HgGWfQtfwIyPRN2LoZAMkbNmDPunXoMXQoYseMRvqOHdj5zXIMYlyXML5V8z+u1iZxbq4XgMp6SW7vhJ/bFy8m9EzF4BmnohNvakqAVMC3i3K7P8wbXl1FbfcsQOvSUNO/0y3WA6BN119tR+rZxXOB9813Fn4W08X9i50bkJCTxuRDIzCMSYjmJ29FTrEFoGVUZ31zZMMAqM7rVrQ6Tz6wH+9tW0ngFsRs7+PQPjgEr21ZhiHhPXCSowBUElsgiBYZ69J3468b5yPx4P5aLUDNQy6hZTZh3azle5FdWM74m90Q1aU1nv86De1bB+AaAtDDZMJ1aURSLTSsC4AaedwXBI8bUwsxa8Ve9OsaiqvGUUbFYTzy1R5cTgvQoT3acv6nC7xuFHUU1VcfANU+1u19XnwOvuKPYOuEfmFYv7sAnzIL/M9PbRoANfCTbSzjPeZDws/5TEB0eVx3hlPogq9pCbot9wDuGRpH5dTRicqvGgpADfzkOZVVXErLzyQUl1cQfkYjok0o/rkxEWHBAbjRQQCqsTVtI0Ben5WH12j5ObRjG1zaOxq5bMOTTLx0dZ8oDO/sAdD6R9nbw9OAp4HGaMADoI3RlrP7mvs175+JiYkQbJT7t91mJVl41r59+yq4pmRIKvY7u6+5F/M/AqB/+ctfjEu9vhMgk5v5z7l2vPHGG40MHWtlWfd0ucvb/c8//3zTJiVg0n7VZZkd/X5Z2bZeu7/drqRGubm5VbBQ29UPJUDS2kT/VwxQawFaHYBaF3i7rxUtORYANhYc2joa82n7o9iqspiVVatgqIr6IktVAVC1pbZiIbHdx9ZpddbQ/th6dJx+bD1Wrq1P2/Vj97Pff18+PQDq0kh5ANR5xXoAtO5FZdM0Xj8A1QSnCVWfKRs3YvfqVYim5WfMyNHcdggZu3ZiFxMhDZrhIADV2pfws4Q3gG0LFyCPN97Bp5+J8LgYlBYeNEmXCvfvZxIkzwK0+rh7MUCra6SZ/+e5qGQlRXkHsPg/r6PPlPHoO3Gsu7FVKdMDoJrvCCz5EFtC+PkJLT8T9mfggj6jMSiiu7H4XJqWQABaWGkB6gwA5fOesfxMpuXne/ErERIUjEv7jydUDGXs0VK8s22FAaATHAOgvgdIxc3cmJmMT3eux4a8dCSX5KFfRAC+vmtYVQxQncmahwUisw6U4mW6oOfTFfzGkyJNtneySDy/LA3tHASgkieQJitRJTx6Y3U6+tPy8zICzxC242BJBf48LxmXMeaoUwDU9LHS8tPAz205OH9oOMYz4RE3Yy1jj366hQC0CRagVJGJUa3s9Z8lp9PSNguXxkViXEQnA1wX7MlAfH4B7h4S5xgAlcWmwiDI7f35+N08dw/jZsLPyDYhTNx1GP/asgvtg5wDoGa8dLLwnFqTkYM3E1Mxkq7uFxLytuK29IPF+NumnbjKA6DSklc8DXgacFgDHgB1WKGNqM7cs3nf/uyzz/CLX/zCuJ/rcD1L2czocq22IOsMGrwojqasQXWsBWhWpKwqZY2YnJyMv//978YC1B4bGxtrXMmvvPJKc6zNVC6ry5UrVxp3d+t+r7rPPPNMYxXaqxc9LFjk3i1XfEE3HaPEP7ZuJfxp1aqV2U/u9Pu55lMflMBIP9pPbRMolLWrPU4Z5gVBbT8EFasDUMUAlQu8LEBV5BqvjPKSL7nSk2T4g1FbvzmAvyRbbRaEtbLUF3/Zdl99qm7BWFtUn/ZVe9V/6Vgw9+WXXzY6UrtVOnbsiNtuu820V3LUPn8Z5nmJ+6k+/S19ZGZmmvp0vHSoOuzY+++v7/2L/3fqm5JXSTfqo9podav62rVr53seraygun786z0R//YAqEuj4gFQ5xXrAVCuohwvdQNQidOkdoiLtLTNm7B71Ur0HDESsbxRaptalJm0Czvp6jCI1pmOWIByhVoV83PRYsLPVAyYdiq69OlloJMm4R2Ma+MDoDM9F/hq54QHQKsppLn/5fnoAdDmKvHY42URJ+j32oez8ZPH/oCOdDH/9aizMDYilpZ55USf5HyCn4SOX+7aiI1ZybiAsT6HRPQ0cTg5KliWFo/9DgJQgaNWlJmSz5ifCasJiwJwMS0/OzLbu2J/VvCFz9tblzsIQH3wM7BFAOFnEr7asxm9OnTFGlq5Lti3/SgAKktNn1J82d5fZ8KjtLwS3HZyFKKZEOhw+SFUkA6+sGwv2rZq2WwLUONiXylS8HNzGmN+0tp0QKXlZ2vCT8WrPEiLz0fn7nEMgJoHcPbDJjyatz0XZw/shAl9w9CijPcruryv3nOgSQBU46vnCFaDT5jwaEFaJi4jFBzbLVyrGd53AjCPFqBOAlBj+cnzXPBzVkIyckpKmWApFt0IPw8RhCqz/T8373QMgJorjf2U2/smxvx8ZXsyhnZqR8vPHibbOx3osPdgCf5KC1APgB47L3lbPA14Gmi+BjwA2nwdNqUG3T/1o+zhclVX5nOBLBUlPTr33HPNd0pgZIGVXMV/+tOfGsimbXa7hWH79u3DV199ZeKJCmquZfgzWwTVJkyYgMGDBxsIOGXKFMTFxeHzzz83+y1duhS7d++ugnMCn9OnT0dYWBgiIiJMwqIhQ4aYpD/z5s0zbvOCfGqD6lWm+tVMevsWvRS3bt1qYF7//v0NSNV3AqMff/wxEhISqkCq6lOsUdWvPqj/1QFo9+7dDVC85pprDKidO3euaa8sRENDQ41l68knnwz1JzY21nb3KN0kJSXhk08+MZa2FpRKtnTcuXNnc4zVpWCpMtUrJqpgrYrgr/qgH4FPJXISLN5AL0vpTdBRxwtgjhw5EuPHjzdAdii9L2VJKwhpx0j7CXoq7MBiekxupLGSzgEV6XrAgAGYOHGiqUNhC/yPMztV/tL2/Px8c7zix6otsvwVVFUf5I6vMe/bty/GjRtXVZ8O17G2v/51nqh/ewDUpZHxAKjzitXCRYvhdzlJhPCNyeXTpjcw7lvT2yKZRXwr8zYn/1EDB2D0gIEoYeILXuVNr7SeIwO46E7km7ZlnHgu5MTYnpNxueLbuSKzDgCqDMdcEGpSS96wHsnrNyCKk7vgp5ImcLOxpMncvdMxAMoaEUDLz6KCA9hO+HkgI4Pwcxo68wak7PICo4c4CSfw5uAB0JpPJA+A1qyXJm/Vec7zzrMAbbIGazywLgBaTAAqEKmER1/s2oDE3Ayc02skBobT8vMQQRXnCZWlDgPQID54Jxdk4/34VUyuE0zgOgadQ9uijHBRcS0rGJ/zLccAqE6sFoRSAdiQkUTwtgWDwqMwKao/Ht/wFZMgxVe5wMsdX7CsRWW297fXZiKvuBxXju6C6M4hhHe+l1FlVIsTALQdkyDZF1yK+bmBlp9vUWY/ZnmXpacSD5EFcz5ugULGHnUKgJqHcgJBxfyU5ecSZrQ/Y0AnjO3VHgGUZ0adMpsCQHXf0BgW8971WXIGlmbsxwXRXTG+C608zNkkGOksAOUI++6Ryva+IxlFbMMNTHQk+Kn41nJmK2ebnAKgrNKnJNa5JjMXbyWmYRQtP8+P7WasiAXQpQMPgJoB9355GvA04JIGPADqkmLrqdbcQ7nPqlWrTNZzWYEKSmn7SSedZCxCd+7caT5tQiDBuyuuuMJYawoMqthjdJyS8siVXpncBeX0Y4u1SJTlo0CdMsoLHP7ud7/Dli1bjBWiwJktkqX9VL9A3s9+9jNceOGF2MFQao8//jheffVVs6v2u/jiiw2AfOaZZwyIs0BQsi5iqLaHHnrIZKRXVvklS5aYOnXwWWedZSwoBenU/uoAVPsIBqvPgnmzZs1CamqqaasMbNQnyRCgVF+U5V6f2uZfBCnVTyViskWxVNUum4FedakNgp5ybVd/JUNFFqZ33HGH2Sb5f/vb3wy0tjrWcSrSlaw+9aNywQUX4JFHHkGPHj1M3XaMFDtUMFhQWNakkqNj7fECpgK6t956qzkXVJ+O1fcq+lvtePPNN/Haa69B54naovGzbda+Vj+qT9bDStCksbSybH2m0hP4lwdAXRocD4A6r1gPgPomKWc1WwMAnTkTA08/DYe46Ne8mKyER+vWm5ifcn3XJGkmTS1HuYMjAHTMGJQUFCKQYLuYb+C2L16EXL51klt9eGyMgZ+cdc0Ee4gw2AOgtZ8FHgCtXTdN+obPIB4AbZLm6jyoNgA6OiLGGDoqqdFnieuwI3cfzib8HBLRw7zw0n3AFicAaHT7CFNvKyY8SjIJj1YxsU4wLu4vy89QVJiHVZ9M5wCo78E0sBJ+zk/ejMGdeuKUngNpnViBx9Z/iXl+SZDktnyYlC67sIzxN/cxJMBhXDmmC3p0ZMwuwk+TdIjzcimb6QgAbUUAyvoYzNO4vb9Gt/cBXUKZWb4rQrjNDBA/9KDrFABVLFF2pCrh0Xxmpb9gSDjGWfgpsVoPNAWARjIhFI8vZdKhOYz5uXBvNq7sRcvPLp0JIQ9Dyxqdj4eoZ6csQMt53gQQXGfR8lNWmMU8n6/rG43uhJ9UroGfskil456zAJQy1xF+KuHR0I7tcSkTHbWmzqqyy3PMPABqZxDv09OApwE3NOABUDe0Wn+dWpsJtr3++usGcsp6U0VAURnfBeeUOEgZxdesWWPu4TpGFoZKvCPLSf3fgjv9rf2VzOjdd981dWlbTUWWk4KFkyZNMvEqZYWoUn1/C8qGDx9uYl0KZiYyXqkyt7/00kumTYKkgwYNMu0WzBWAs+3q0qWLgW733Xefsd4UhFy4cKFps/YThBQg7NOnjznGH4DKulHyBTcF8ORmLtd6C/jUXulKsNPKU38U51SWmhbu6VMWkr/97W9NBnrpS3VYOBkXF1d1vOrRmLzwwgvG0lZwUkX9kAu+kjEJPAoAK8mUiuqvrjfzBX9dwtwXTzzxhIG4kik9P/bYY5gzZ45xs1dbJM/2SXWpP/pU32RJKhB7+umnmyq1XUXgVJBWcV6lJ9tue7z2Ub0qFgYLop599tnm3JEVsIqtz/znBP7lAVCXBscDoM4r1gOgvknKWc3WAEB5Mxp0JpMglZYjZRNjftLtPXrUaMb8HGkSDvlufZUYghOnIwB09GiU0zWwlPFR4mnhm5uWyqRKpxN+yvKzlF2mPC6O9ekB0LrPAA+A1q2fRn/LE94DoI3WWr0H1ARAf0UX+Alde+FAWRE+J/xMyEnH+b0V8zPqGPgpAc0FoJcMGIsYAlDNLClKeMRs761aBuKygScx5ifjM/LNd+VMZ/rjBAC9fMAEU1cQ5cjy89Nd6zG8S0/MiNYbdLqUM97pE7QAtQB0/p1D0Tq4JTKY7f2t1RkoYMzNGyZGomu74Cr4qfbrYdUxACoLUFa6ObUAr61KR5+IEPxgTDfGQ6U2OHBVD7jcxxEASqtS3Vdk+Tmf8T6/2p6D84Z0xvheYQjgF7KU1DhYKNsYC9B/jh6OM6IieU6VYUFqFr7am4FLY7tjQiX8lPWn9OckAB3cKYw1MjwM4ecL8buZ7f1IzE9ZfvosTjlmFNxsAJqagUdGDUQoQwMcYpzRdVm5jPmZgmGdw3CR4CdltNQcxvZInv7yAKj08P0qWszququ69k7g5msusot3LcaPR7Ft+L7o7HjoyE2ZHgB1U7s1123P+T179hiLzWeffbZqR1kLys399ttvN1aTgm3Knm4hmdykf/SjHxloqjie/iU+Pt5YJ8q6UGBMPyq6tgTUZEUp+Km4lNdffz3Gjh1rgJzcp7WvIKP2VftUt9zDBdCUCEkQU1aEAqCCloKEtljIptiZAqKKPymYKVj74IMPGvAmCClwq0zzFkLKBV0wtSYLUNt22361S67yaov6IGC8a9cu2GRJqlPtENiUpam17NRxsvxUsiK5rlvZgrmylpWrv/qr7foUOJQbvvprAajikOr/ikUqubJ0FYCUu7nc1+3YqA65nmuMJFfAUXJlrbub4QUETWX9KRnW2lZwVaECpG/FbpU1p3SnvmjMZCUrcCxoac8bud8r0ZJCDth+qx8jaPgUGRlp9hOo1bUtuXZMFQv0hz/8oRkHgWWrWzuOJ+qnB0BdGhkPgDqvWC2APBd4p/V6LAAdTgvQAbQA3cM4L7v55q0H39LFjh6jFbaZADXpmaIVK/9uDgBd++5sRA0bhljGEinIzqLl5xIDPwdOn4EuvXsRitLVgjKsSP7HA6D1nAIeAK1HQY39WvCAVlWeC3xjFVf3/gJO/jFAOzAG6O9Hn4MhHbvjo8S12JydjAvpgj6U2d5lDar5v3ppNgCllWefjl2xKy8DcxLWIJgPhhf3G4uOIXR7rwY/Jbt5AHQHdlPODwZNpKFjS8LPPfhyNy0/O3fHqbFDqrpWQvf/v9ACdC4tQPt1CcTSe4Yht6gCr9Ly80BZBW4h/OxC+HmYVqCy/LRa0UNscwHowvhc3D+jJ9qGBhrLTyVZGtgtFD8YS/ipmJ8cNM3/kqnpX380F4CqmitozapkQPPp9j6fMT/PYbb38X2Y8IjGBnrvZXvZFAD67NiROCWyC55joqGE/EJcGNMN47uGEwrSQtPXBTXBMQB6de8oDA3vgMzCYrySsAe5DN1yO2N+KuGRP/yUzOYC0Hkp6fgoNR2PjhqE1kyitDE7Hy8zzuiITu1xCduh0Al8yDcA1MqTNj0AKm145XhowH9RfzzkezK/Gw14APS70bO/FD0DqCiepUCWLCctpJL1ohIdKa6mAJwsRAXRFN/R3NN5X5dFoCw9BRhVlyCYiuJTKv6mLEEVw1Ig1H4niCdXddWvIpAowCm3ecl/++23sW7dOiND3yvR0g033AAdJ+AoK1DBNQE6fwAq+WqXoOrAgQNx6qmnGtC6fft2A/4Ea3WcIKQFoNpf84sAqCwiawOg2k9FMHAY15+CwqeddpqRlZKSYtzwpR9BSfVTP4qTKlAp0KeiOvwBqP6vNsudX/C1NgB67733Gv1rf0FKAVCBaSVHUhxT6VjxVhWjVeOk/QQ/BT2lZ7VF4FN6ExB+5513jHVqWlqaaZd+CVjKLX3GjBmmT9KZYPh7771n4KrqkPu9rHVl2SogahNF2ezz6otk3H///QZQ6xgVQVSdXwLoCnEg+C0wq3NHlqyxsbFmP7X7RC8eAHVphDwA6rxitQjyAKjTej0WgA5hcOX2jI+SxLdAUYzrEUvrzEMye+eEdtSk5hAA7TlyBCL69ceWLz/Hgcxs9J86jdneaflZ5svqd/Q86gHQ+s4AD4DWp6FGfu8BUDETx8vRAPSP6BTcBj8ZNgN5B3OxJWuvL+YnLT/LTcxPiT+2EU0GoDn78NGOdbhi4AQDEd/etgxtglqbJEudQ9oRfvpiflbvdHMBaFJ+Jq4edDLWZew2MT8Hdo6i5afPbYivl0xb5CptAegAAtB3bxyAjzZko4CxNgUKu4e1OgZ+qp16YG0uAF2UkGsyqydkFTHbe4ax/LxC2d4Z81PE8yjgKqEckuYA0HfXZCKIYPXC4eH4amsOFu/MxZlMeDQ+jpafchMn/fT98wHXxgDQH72bjI5c4Pxt1DBCQLq2M9v7OT26YGJXub0Tvvuar16YovPRCRf4m/tFo0OrYLq9J9Ht/RBu7Hck5qe1/KwU2WwAOpcA9DMmcnp09EBs3H8Ab+xMwQhafs6MiWQYBy7cKKjK9Z1/exagVvPfr09d21rY6/nLLkRP9B5YSyQtro9Hkb70I/lHPbcej8b8D8r0AOh3O+iaI1RkPShLQln36W8VQcSbbrrJbBOs0r4aH1k0fvnll+b60LaYmBgD4wT5dM3YH11Hup4F2WRtqFiV9pqSRaQg2dVXX21kCSrqO+0vGQKqAnraJhmCkw8//LABhNpm95fVZU0AVMBUkE6AUnOfjT8qS0Nd20r601QAKhd5QTu1XRamds4QFFYCqaeeeqpKnly9tZ+SSoWHh5u+KKmRtQC1/WsqAJVupDNZnr744oumXms5K6CsWKHSg4r0IL3JslPu6mqrjleJjY01bvUab/XJ1iurTuldSZvUVv0o3IGsVQWtFQZA/RUkt0UJne655x4DN2Ula+sTENd5I8Ct5EpxcXHmR1DbWg+r/hO9HHcA+uvHHkd3kvWycp+bq9MK0xDoBPh05SpsIF3/8cUz0SaEcb349t+tIpnlfPD9eNlSZrENxPmMH+GmPPVDC5O0rCy8MW8Bpo8aiXF8Y+Jmsh71USf4cr4BWLZxE27k24lO7du7mKxHa60WKGUSpHdobh7KNx+XT5/BWGhHgjFLD04XySzmW5i3/keSIAVQr9359qh1p47Mut7PwE9fwqMjgZKrdKz5ludAky1AmeBk3fvvmQRHul7St2/DoFPP8MFPub3TSurYOdQDoFX6r+kPXpjFBQex+LkXEDN2HAZNn4IyvrE7Vo81Hdz4bToF9BCStGYd1n34KabffTvade6IQ7RU46XjStF8HtSqNZbPeh1FB4sx5eZrTWgGV4SpUnby+FmArsfmeV/jlB9eg7Ydw0xcXvf0yrEkNFkx630UMXv05Duu8YWdIIhyQ2Z1ANqeAHJqRBzjMR4mFBxCt/AYAiQmPqtDeHMA6Md0sZ8U1Q+bMlMIWcuZ7X08OrVuw5ifCthf88nbXAAqS9Mx3Xrhq90bMKBTFKYy5mcLPsweNs8jPpn+FqAxHQNw0/hwFJUeMlndZflpY35Wb6Gui2YBULqdL9rBjOsDOuOTrdmIYWZ5xfwMZfxIVn0U/Ky8LIyamgNAZzOxkqBmVIdWJqu7sfyk23sgTw71T88Ytp+aaxoDQO8gAG3L56/LukchkAD0BoLJHm1DwVO8yiVc/bDFGQCaiPN7dmX29QPIoPv7jf19MT+rW35amc21ABUA/ZQA9Kq4KMzZvRf9O7TFJb16MIxDzX30AKjV/PfjUwtyXQOySlIWZFk8/eAHPzhhIajaq8V5BpNXvvLKK8Y66OabbzbK1vykvmihLVdNWT/ZbU6PhkCCLKMECK688koTK88tWU63/b+lPg+AfrcjqfNbP+vXrzfQ8YMPPqhqgADXL37xC3Mt6BpUycnJMcBLAMxCRUG1yy+/3Bwvl3kVXc8WDNo4lf/85z/Ntazv4+LiDJi77rrrzH6qQ0XHWMgqi0HJVfsUn1MybXxO+4KiJgAqC1GBPLm7C3jqeO2vNtnSVACqehRLU0BTCZFUbF8l54svvjA6k5WjLbJCFUSUhaX2cRKASl+qUwBUbvDqswWgilVqwxNY/ar9skCVpe+iRYtME1WHXNulX4FJFdsnJbySm7zAuKw4NR42BqugreQqJIKArkIOqAj6CoorAZQSaMmlXvcgWX1aGKp99GPH0Z5fpoIT/NdxB6C/efwviCIAFdjiiDiuLtWok0oAdD3NgO+lCXFbXlQKUF/1ZO2wVMmsIND5iBnCdLJ+JwCUnUklAH2TMRymEYCOJwAt5kns1sloRorjtYKTw9ING3ETJzUB0DK5KrowjhoiC0DfXriQALQVfkDz7mKXzht7SlgA+ibfdoweNJBZ4Ae4qlfJPZIFfj2zwE83WeDd0yutbPjvw7fexMN8u6TFeEiXrhjKN0N9Jk40GdfVphrHVCtSjnWTACgPLSdYXjfnA8b9PIgyugkO5Hh253lbRqjFWVtV11CcAKB7cNlZ5+GRex+oujnU2L8apDdmU6V6sHr2e9RjGSZdd4NJ9OSLZdqYmhq+L5mxAaCLnnnehBUYNP0UE1fVLZnqo258e/wBKOG5Fjhu6FSa0HxuAOgrr6O4yAdAleHZtUJ5LdjHotwDWPL86+gzZTz6ThyL0sqHCDfkqo8BgUFIWrUem+YtxNRbrkUbxhU8VC6wXOOF0exm+GTyjToBaLEBoHyjrwdN1wAok88wCdCrc2bjJ4/9gbltWmBQaGfcRAvJkZFxx8TfrKmDTQGgeiBMzEnH7PiVBqi1JiS7btgUdK7F7d1fbnMA6Mp9iViRmsgs9mWIDYvATLraq0jvurvZIgD6uFzg07bzPtcCV44Mwz2n9EBUJ77NL7NWkXbvI5+qpzkAdBEB6Acbsgg6mSGVQPL2yT1MzE/5hvtbflqJarWa3RwA+sH6TGzcd5BWv2U4k+B1xuCOaMl4mQGayHzVm0/9krzGANC7ZifT+pGZZtuE4YHBfTGle4SUzbudv7ZVs680F4Aq3udjGxMJ0CmDerlzUByi24Ue4/Zu5emzeQC0Bb5OzcZzCbvRrXUw+oW1xbX9YtHaWM2yDWaA/KX55Kn3ngv80Xo5Uf8nkKf76OLFi00MOllbCSronqvr3a17bFP1ofZqfpXL69SpU9GeawJBSBUtztXep59+2nzK7VT7qy9OFasTPX+ccsopxg1XLrvKfCz5aptXvhsNeAD0u9GzvxSd/x999JEBd3JZ1/WmbXJPVvIjgTsVbdf1oKRGDzzwAJKSkqr2VYIcQTLBPh2ra0af+pEFqNy7//GPf5j9VVdcXJyRd/3115t9dD2rbu2vc0B1VbcA9Y/PaecwfwBq2y1Xb7mdy51bxbbF/Ie/JKOxAFSgT0WWsLfddpsBiP5Wi7btspiUhexnn312jG6mT59u6nASgFody2pXoFIg0h+ASgeCnWJK2lc60lhLP4qfqqK2C2DLklMWmypWl/pO4Qjkcq8XVNouN30lQxJk1pyp80HWvHrhZovGU672Ap4CnworICAqS16FJtCY6Ef12U977In+edwA6EOk7l169caUa65Gu06dTVw/PZg5XlQlT5bkzCwGlc3HwLhYnkB6eHBc0pEKKVNv/JMz0s3CoSfNgt2Wp9XBQT6A7+IE1Y3m0l06dTAQ9kijHP6LfZRqM/bnIJM/faJ7ohUvEl2YrhUKFOjYRfP0QF6UcZwcD2lx7mahTMHsxOQUhPMtTAStsPR/10qlXvNpxZexPwsxtF4Jqpzw3JS5/ZvlWPrmGwjkJDfg9DMwlG7wGmHOabUXqZ47NBaA6tpoyfErLjyAlZyQD1OfQ88+Bx26R5prtXaB+qZpAFSTcxGDSi/hw3ceY82cEjcYN46ZZq5PLarr6mbd7an/22wGi+aJiy79+qOCNxm3SwWtotPjt6N9RFe0j+xqrhk3ZQqOFGRlIyclGZHK2kj3T42xa4VVt+QcnpGwg9d/Bbrx7bZu7m4WnT8VjEebsX2H0WnbLuGVMNI9qUavGdQr4xB1H9APLYOD3J1f2RWB8sztuwjayhAxqK+2NOCabLoOBLrmJm7Es99+hTYBwbh3yDScRpfwuqww/aU1FoDysZxxEQOxOSsVL2/8GoPCe+Lc3iPQgZafDbl3NQWAyrU9mDLn7t7En83MaD8CYwl4BX9rKhaAKglSbKdAfPzDgYhSzE+e93XNU2p/UwCostwfpov7l5uy8fTSNFxJl/cLhkagDRMv1SXTXOFsUGMBqMZA08Mhdv/ZxWlYl3wAt02KwujodjzXau+j5DUGgN5JC9BW1PFDQwfiml4xPLjuOaKpAFSvXvTgn8J79v2rtqA3rUzvHtwLXTgP1leaAkClB/O6hzI/S9qLp7buwm20ND2nZ7fKmJ+1S22qBWg5B+Ywdfl5ahpu/HadyZ4rN73z+ZxgoZcW0XJF1KLNui1KLw0pskBSNly58gXxxc/zjz6Ja+67w8zrDa2jIXK+b/v4A1DF2FNyESX9qA5Adf/Tvip2cax9atKdfTmp73WMPU73OBVZ89RW/PfXPlqMS4atU3XoRwtyLbRl5SlrJitDEEZA5LfMnKws1Nouefr0b3d1+fZ7yareJx0n+frUjwUE0pd0tZAGE5MnTz7mXNIx/s8N0od+vOKMBjwA6oweG1KLznudywKUcon++9//bq4FHavrSy8ANFcLYtmi61Rztl4QKO6kvf4Vb/LWW281AE5/+xdZgCq2puq3+8fF+QCo4nqqHbo+1Rb9vXLlSnOt1wRAZZWqfVSPPmsCoNpH84SsuLWP//VpZTQFgEqm5ia5v2uessW2RbI0h8klX/c521cBP7XnsssuM4c4DUBVqQCo4nXWBEC1TTpQ+9T/N9980/QhMzPTtFHbZDVrkyXZftlP3WdlCWp1J1d+ubhLDxo3xTzVPVghDnQft/rW/vbH1iUoKithnVuypFW8UW2Trqy+7L4n6udxA6AyO+5OknzGLbcgrHOEb8FT19N9UzXIp0VzMnNiyKLrxRha8Rmg1NT6GnicTpYdfPOpBZ7goB5a3SyK83TgYCG27kpCdGQ3RJH+K4NtnSum5jSI8jRcqbzwUtPTMYwTVUhrxdCo/KI5ddd6rC+uyLak3WbxOJgTb7mLoQx8zWhhHq62EpoJLEeGU69ykXTjXJVAqk8T0X7G2EjhW5r+cbFoxRuYa3qlPM5W2LRoIea+9DKCWodg2ExmgWdWvnJaZdY5kVUe21AAyjnbLEJlTVdWUoSt8xdgD9+yjbjgfMQwzku98ni4FN+YLPBWZiAtZDJ27MBivrmsyD+AGf2G47Yp56rr5tr0j5NmxDj4ay/fxJIIIooBpQ/xBuTeyeOrWnpMZgKrDnTr6BwT7QN1DvbnmKqow3zOARnbExBLt/ugEAHQY/ZybgMHtWVQIFI3bGKc2DL0HDncXeBaea0rIVfy2g3oFNsTHXtE+tz8nevVMTUJRual7eMLhj28Pobz5QSBiq4ht4ouFro7792wDRV8mdZj7HCfJJdkqlpOdfhyy1r8feEcdGQSpF+PPBtju8YYT4KGXCeNAaA+EBmA1AO5eG3zEuQUF+KGYVPRn0mQSjin87GtXs02FoAK9rUh0FmXnoR3tn+LiNAw3Dz8FAS28L3Fr0mgvwt8f8YAXags8Exmo+Gpq4V6zmkMAJX+BT9b0Cd8S1oh/rkkFcGMx/mrU2MQIVf7+uSp8WxQYwCoAKbk0iMdcxnz8621GZjcOwxXM8lSkCZjX5Xms/ovHdcYACoX+PYENP8cPYxZ4LvrTWb1Ko/6f1MAKI1V+TKG9+uiUjwTvxtrMnPxixF9MSK8o7nX1Yf/GgtApQP1QnPDusw8PLVlJ9oFB+L3o/rz+tGY1f0yrykA1OidQ8NZF3/dkoBHOc/LJc9NAPrC40/h6ntuM4uu6sDrqEH7L/+PwJ+ewWQBWhMAVfcF8qSj6nqyi1wBQf+ieULF1l39ONWnY/yf/XSMFs/Vt6sOFbtQtsfIhVJWRNouF0orSxZMcs/UjyyXtN0eKxn2eFNptV81fa/j1c/qfVRCEVm9yUV04UIfALWyajtG9avvAkZ1taNas7z/1qKBEwWA2uvANlNjW/2ct999Xz/VRxW5QguSCfyraLv6Kvdxm53bfFH5S9eCgJiuFxXtK/3I+lOxIEcz/4OKvR6+awAqF229VBO8VfEfNzuuTQWgcuXWHHT33XebuvVL/dQ8oB/BYc1TgpG2/xbIKgyJSk0AVNniZeFqs8WrzXZu0csgAVeb3Mg/CZL2UWkIANV+mmNfffVVE34gOztbm4wctdW212ys9svK0WYBboUo0YspWcHqfFAyKiVgUhIoJU9SUX3qh+2L1b22C6pLL0qodM0111TNxXW1wVR6Avw6bgD0YZL1oby4fsYTLJIUWTcexxXG84mns0Jm4as1a7CRFkN3XHQBQgl5DnGF7rg8DWilTGWQ/YzBeYNo+XE2s65pIeRKMdXqoZcLV14E7zI+5pThwzDWumrzpHW8SCYvVunv2/h4rODbo2vPPBMd2rXjBcRxdEOm6QSTIDFu5AfMFN6aD/uXTKV7rxvnjVVY5ZAplMDsefMwYkB/jKQVn9rgSh8r9dqSi91dfNO2fONGnDvlFOMCX+6GXu04crw+oSXm47/6JeFVKIZddBEGEoAKLtV5jeh4ngMNBqCVlp+lxQexlfrMT99nQMvAU09jsqUhKD1Y1AC9NhyAmvsJr/MAPszvpz43MPjzPrpmBRJ2XHraOXjorp9yQqe7xmG6bWkl72CpPHWkIKz9cA6hbRkmXHU1Svl2Txmg3SqSW1J4EEtffIXxW8eg/ykT6apdwn462z+13/SRv2TNm7x+AzZ+8gVOuf0Wump3IHR1YT6XTMrTDTyYL1tWvPE2ihku4eTrr6YVscuWtRyz4rwDWPby2+g9eRx6jxuF0pJiY0EsXThZrF4DaOWatHYTts1fjJNvuBKhigHK+wovOceLlSmYs+qNj1Cck49Jt/IhT+eqCzRb8jSWygL/+qcf4P4n/+QDoKPOwtiIWJTRDVzXTn2loQBU999WnAdS8/fj/YSVyOc1Echr4spBk9CjfacGA9fGAFChvlYBhJ+ZTHiUtNm4Y3dp054yJ5oY4bX17bsAoNK/gZ+tArBudz7eJogs44NSp5Ag3DM1Cu1aCdDWPQKqQ0PUEACqfXXdCsAd4in1Ba1Nl+3K58volhgR1RYXDWNSAa7h6hpx1dEUAPqvMcNxurwLeO3UVRoLQFWbFgS5JaX497ZdyC8tRwFjH989OA59wmjNKrhcl0B+1xgAqv4b+Mn5dm1GDt7ZmQpGRDDQ+sGRfAHNttQ7ZqZBDXeBP1TZAenmncQ0/HtHEraX5KNd+zAfAOViT4sm6cEpC9BgAqhX/v5vXH7rjVUL+HrU+F/7tXSrZ7DaAKiFlVKAFqtZDIOlhbGSUchaScVCPf2ta1BWPirdunUzn2v5sjSP3jGCiHKJlNupBSeSrWPUDoFKuY/KtVbQRBBc2aJVBEZk/SO3Sx0jWJrOl6KqU3L0f8WdE8yQe6YgjSx+VWc7rhskX7FBdXx1qzPVLwsnWSSpX0rooqI22udT9d1ms1ZWZ7neywXeH4Bqf1t0nPZX1mX1TXBI+lJbbF9t3fYY77NxGjgRAKjOXf9xVw80rvancT06Mfc291X2UxBTsE6xI3V9qqifuga1j/2/+YO//Lfpb533tsiyT67RClPhX6wL/HdlASp3fLmhy7pQbdR9xhaNq7Y1BYCqDsFHZWS31o/aJn2pTv1Yi9Tnn3/ebNf3SgqkuesirpFVagKg+k4ANC4uzuxj65R+VZdk2hiczQGgqk+QUhBX8749pxXPVEBS4+4/R6pPuhdom9Wj5lLFDJULvP7Wd6pXc7HuC9KtEh0prmSysU4AAEAASURBVKzGXnWoSJbq0P4qmscnTZpkdKMXddrPyjA7nKC/jisAHU53jt888SSiehKAljm/YNYCRM9vsp77hKbY67cn4L5LL0YbmgibE6Pex9PGj5pkqghYfbhkGQFoAC6U+0XlidP4Gus7QherHsQZAzQzC6/PnYfpY0ZhAm/mAnduwBarV10E32zejCXrN+Lm8xQDVO7hGscjk1R9rW/s94r5+Q7f6IYEBeMHp04nAOUDogvjaNul0SxirMo3P/8cowcPxtiBAwhAFVvVjT5SmsaS58yOPXuwlLBuJt/EteP56oZezblaee58wDc+f+INzy0Aat3eS4uLEL9gPvL5QNvn5JORsmo1uvFcjRk7hnDwoGMA1FxuXFG35E0gh5YIm7/4nFaDwcjbtQtFfPC9/Kzz8cj//cJYaLv2MoTnpdqxavZsur6XYvL1NxHyHmhAH+3Z17TPooJCLPr3fxA3fgKTStkkSJUr2aZVWetR6p9ufkmr1xL0foIZd9/JJEgEoAKSnB/cKLq5BvFm/c1Lr5kkSKfcfB31fOThzQ2Zut4P5uYzudRr6Dt1AvpOGleZXMqtPlKvPHd3r1yHTV8txNRbr0NbxQDVQ6pLetXJ2pIv7L55ZbaJATrlrmt885wG2YVuahwDWgZi1px3cd+jv3UNgAp+tqYukwk/Z8evQPtWfMkTHo1FKdsYh3OMicdZagB6/Z1sGAA1MyvdrwOxPmM3Pt21wSQ+ak0YmnQgC5cPmGDmhdrO06MAaAQtQO9y1gJU+tAzkSw/N9Ly85UVezG2Z3u0CwnAyqQDuG9qD4SFOAtA9fxjHpUFP7fsx+LEPAM9k/YXG11cPqqLuffVphNt51l4wgBQzTZ65soqLsNz8bsJtw/jrOiueGtXKq6M64GhvFaVPLC+M6oxANS8EuDL0XUZuXgzMQWTu3Xm3NsCXzIJ0p9GD2AICV9op7pkNsYCVPBTOtfl/2ZiKhan70dIcAu8nZaC0LAOePmll1xxgRcAnUUAepkHQM1iVM/ZNQFQLVT1nUCTrHHlbipQqO2ybpL1lhJnyIrKLkj1ndwVBTjk5irLHx0nuCjwKKslZTq+6qqrOPIae85lOgFYXuJ4K7GKkoIIhMrNcurUqVDyEy345U6pJBpaeAssKr6egKWsiQRIr732WgNPBUajmfdB38mVVEBA4EZJnm6hR6Csq8z6rPI+J/nKfqwFuazSJtCgRP3QAlv1PvHEE8bibQ+fmVUEMpXFWrFGpTd/C1AdI0D85JNPmizGaqf+r74P5vO9+n7ppZeaPku3+vFK0zRwIgBQtdyev/69+G8aV3uN6sWErmddRzX12b//Nf1tj5FuZAWt61D1aS7Rd/Z607VeUwxQucCr6HhdvzqmJhd4JUGSG70gnfbR/vq0wPGFF16o2qZrXSEz3ACgAn6aJ5SlXtaPaod/2wX9NN/MmTPHbFffbHumMwao2lwdgKrf1gJUSZ5UVKeKLDufeeYZE3NVL4S0vTYAqv0EWgW1tZ9eNikGqLZZsKk6NR9r/lScZe2nH8kXvLYWv9pmi9Zq+pF82wbN25qLNb52PNQPwVK1WfFCdzOMmyxD42nwpvNMIRP0AknF1q++yJpWMURVl/935j8n4K/jCkCHjRmDX/JCUBIkOxjO6kg3bl2Mh/HZqpXGAvQuuvcaoKQLz1lhlbX5ZJYRzH1MM3QB0PNPnuQqANVTqk7CVMbhe4tuxVNHjcD4AQSghIWKI+d88T0Q8R3AkSzw55xVmQXe91DmvExfjSWlZZi9aBEfxINw+bTpKPl/9s4DMMvq3v8/CGElIaywAwEZYQmEIYIiiHsg7t062nq79d/rvfb+23vbf4ettfd67dBWq7ZWcYKtIrLEASIispE9EggQRiAEMkjg//2cNwdfw0vm8yLqc/TlzfuMM37nPOd5zuf5DYBrvAqryLdI2kIvKAr8EMHP4RVg2V/0wRYdkWvDBgnyOZpj7y1bpiBI46xFkoJ2VTzsBl2eLgM3Rv753PP26//4YVwAKPATjdnDpcWCn3OsQBNq5jnjZKLdyRa/+IJ1HDDQug0bGpgGKG1CnSii+ZkrbdNZ0kpsZemnD7aPnn3GCjZvsusunGC/vOff4wdAqYMG5lGtOBe9oiBI8ss5+tavqo0H4w5AiwVA5z7+pHUlCvy4s+RuQBrL8ZgH1Eaa6TQVFy2xpa9Ns3HfURT4eII6ylQHJ6IB+vQkAdASO/tOaYDqhh23pDIxOS2SBujcJyZJA/QM6z1KwF7zQtzkqjITGifY5g+W2qo337ExX79FABTN2jgBUOSq//Ct+gFBkKQBeta3bomMVV2/8Zhk6UcCvv391cn2rw/+LC4AlDZxD94hs/eXZIKepEjzl/ccYoXS4p+8dqFdmzncurVIsyABKGXiZ3TZ7mxFe19pAxTtfVy3/rYob5Ot37vDbuyr4HJukoo9YuMJQKPh57KthfbXD3bY6Z2S7Oqh7ewjwc/Zq/Pt38anW4umwQFQyqS5R2VePwP4qUjzF/dtbcN6pdqri3Y5ITgAWs0lrCxOCQDq4ecewc8n1myxYt2bb8vs6gDkr5dtsK+c1ll9HhwAde1GSsBPmdj/bV22DW/b0q48Ld0W7NhtU3J22AND+1oz7UfOVT0P1RSAHoOfum9M3phrM7fm2Vd6pVueXuT9y4dLrKUWZE8JusXDB2gIQN0l4f7xkLMyAPWL1TcV9BSfdCxI0ZbycPBtWYItlwURGppoXOKTlUUt+aFlySIYUMiC9moFhkXzkaAf8+bNc3D0mWeecXmxLuNYNI0IloKmEccDSgGOBNUgMjBQNCMjw2kKoQkKrCRqcBu5jUJziPMAlW9IkYAASewbMWKEjRo1yuV37733OqjCAh8zeQ84EQL1xiQXbU4iu1+uAJ3sLygocOabRGtOT093Y5G6TpWlD4t2ZIS26xw9c+KnjnP4oPFFhHoAyA033OC0Rakj5qRoT+Geje0eBnzSG+FftZHAZwlA6TsS0Gby5MlufDIugTqAbsC7j/wdl2e42giqnsfSVq4RYBiR3tevX+9yZDvXHyAOv5AcEyvRfq4lzuPby4O5A41trjd/LWBqjY9RfGN6yNW9eyQKPC84KMO7kOAcACgAc4aCCJMv26KjwHM8QI99sQBoPDRAo9t4kSxXierOmGBs+HmVb+YqQKIPJoXsOB4AzNxJW2IB0AtlPckcgraoTxzLHIhvzQcffNBvjglA0Q5lfmK+3SdXeCQA6Le//W33Iog5jvrxzTxPn3OtkSiH4EQAZuZofvt+Yi7HSoOXZBmaqxkb3mcnxzA3UjZ9jPsSoCrHoNlJWcgHzWLmVl4cAYa5tthG/zGf8jKMtvNyjOTHkvtxCv7zmQPQH/3mQeskAFomWCdpxUVEDIJpigK/TJ32vauuclHg0fqKZyrTQnXq/PcUrIco8KNkhh+ZkONTpga5NJRcFPjZc6KiwMdpgV7RCAY3UeDfW77C7rjkkgoAGj/NLzQ9SzROMPNvppsZADSycI2PVMmVMtEAfX7mDMsSVB6miQ8T+HiNVcrELJSgS+8tIwq8AGjzJKdRHJ8yeQPX0F6VM+VfacINWgOUAEfHfH7OmumC5fRRv6Xppkn098UvvSzfmKdbN2krBGEC7y4zmbgTiGff1lxbMX2aJaW1tb7jZEKhCfyd3//OCjWxX3fRBLv/nvt0c9BNWVNB0FNP9NW+SDcJFwX+K7dVaLnGZ55j7FCuB6Ddhg23fuPRAGUeYG+wybVR/wDNsqUBuuRVAdDvftNayP/dEZmC6tIJPNG/zOeNdbN9/+lnnQbomDu/oj4ES8QpqcwIAC20d6OiwMdVrhqTDoAuXGorZwNAb42A5TIGa/DtjPSlgKT68v1jUeClAarrQ9Qp8DIpj37kweoZosDHAYDKbbuCDyXK7H2PvSDNz1ZNkuzSnoOtvfxwrt673V5bvzhgABrRcmyeIACwc5PNzFlpg9K62ZjOfRyEfS93nW3ev8tuyDzzMwGg0fBzueDnMx/ttP7tk2zioLZ6Jmpkcz7ea++s22/3BghAAb30NQGPpq/ca+/J3P5S4Ge3FDe2XhYA1e3OggSglPXih7vsO5MjPkCDNIHHnVJDaV3uFfx8XPBTLbMbBCK7pDS3XQeL7b9XbgwUgCI7Zjauw8WCn5Nk9g78vFTaps31Enhmzk57PTfPfp0VHAB1/aXLHhWB59Zvtbd37rZrMjrZOV3a29ScXAdA4+kDNASg6vCKxKKU52wPQNHqZNHNgpWFKotdYCPaVwSzAOowrxLAg4U9AU4ADgBMfLWxCAaIoDmJBhYLcvIEQrDgBUQSsATTV8xcKZ/taDzxzcIaeAQwRWv09ddfd5pJLJzRNAVSsqhGe4p80fQEbPjFMxpVDz30kP1EQZDwGUfbyAuIS97sZ+FPuX7hDiQBPLwlyy8W3ZdorUEb0UJD26ifAi/yNxCDBNQFXAAHSEBizOE5Bzmg9YW2ElqngGGADYt48sYsH5g6a9Ysy8jIcEDH18NlFv5TYwl8lgDUwz7GI2MK35iMNcYAgAooN3DgQPf789y/tIcPUIsXHcBJrnESQOoq8Q60wNFwRibIIDr5bcwXaB36YEUcwznMA7yUAKCS0Pz216/PC9CGhnYsDVDGANc615OXP/MREJEXJyTqT/osACiaj2hWMnf6NlIXQCEvbPDZib9OEhqVd9xxhxtP/E29mXsZS8yDjCPkGe231LeNfbyIYZ7zsJI8Y2mAMleiNY9MvbsS7rdoVwKkfUKegEj8lGIBQKI8fC5jFk+/Ux/y4zmbPv7DH/7g5lHKJaI7IJcxAuzmhdlf//pX940JPJ/Bgwe7OtMm5mTyIZEnEeipI/1GYrwBwQGg5E3yY8T9OAX/OXUAqN4sB77KqsiRQfF6BQD9/tVXWZL8HH6xAGhEiy9XbxgmzZ5j52YNsRFxBnVMowzu978kABQN0Ky+mTZUEDT+ALSSBqhuPrhUkMDjMIVE4PmrMpu4X5NZkACU6w4tzBI9KK/WQ+iBvB2WOf58BebpJhhZrpceJYECUBWnO4A0P/VAm68H/OWCnymt21qfcWOtuSbkQj0kzPvTo1aY/QkABTYfEeCJh2gjt3WzRZOnCICW2uiv3m6l0s50UCkOPemzLFI04rmPPyGt2vgCUMqjjdwUMYEHgJ77PWmAtokfAHVlqqMTm5xkACrtKjRA3338Wes55gzrNWp43MBypI2Sa2LEBP5kANBjZcoseoEAaNHeAjv72/EDoJQnlOte9jzzTwHQ3wSrAQr8bCoQufWA/GKvXqCI5k1sQq9hCkKU4uDjhvyd9mqgADRytTdp1Fgmypts2sZlNrRddzs7PVMvQSOmRQtyN9jmgs8GgDr4qeumQWKCrVDU9b8u2GGD0+V7c7B87gl6E+X77XX77O21+wIDoB5+ovkJ/Jy9eq9dpfJGZLSwRImrTLezlxcTvTQ4AIpfU6nf2tQlu+z2SVtcEKSgAKiDn7o+9peU2v+u2KSXzkfttl5drXNyMzcR7tKLpt+uCA6AMqIc/NT8ukQ+P59en2NntmtlE7p10tjW9SPBzZJm5tQAAShloiV6RC9Fn1+XY9O27rTbeneVuX1bQbKGNmXLVvvmomVxDYIUAlB1QkWKBUDR0gRYvizXOphsAxJYgGOq6hPPXoBAwGF+fr6hJYkmDyaVmYoPAAAFmGByzv2b4/mgBXmn/MGdf/75TgOKBTR+6wAhQESAqtcm4/mf/NBMQmOJxbIHoGh5AkBZjLNA9u0AAAA/gLPAS8zPaQtaTABQzFFPBEABmR7oosVFkCNgwmOPPeY0j/xim3bguw5QCtgEvuCXjr+BL3PnzjXMbIks7bXPOIe2AE6JgoyWFqal0Yt+L9vwu2YS+KwBKH3Ky4KfCMABnxgfbMPnIabdXkPviwBAaSe+P7lGfDu7d+/urjGgnb82TtRzXE+Me64/H6CHY5kH2OZ9/WISDQClLPLkAygFovFihBchwLXhcm/IiwXGAD480ab0qZeCXzPH4KuXa5J+4GUM2rpolkabwMdTA5S5jb7nhRB1Z1xgDs58hTYtH9x1+HZSb+Ym5lzGEQmtWcYSGvMktiMP8gKq+jYSlIp20T/IiDw5FgBLUCRePPnzYwFQZMlLKOZrXjDxMgvZ8DdlM38CLGkTeQMscUGC9i4a/2jrA3MBpWhwMudzHC8DmIt5icT9grmZewD58GndurXzdwp85QUT55CQES/IuDfQh+SH7HipBXz186o7+BT+JwSgceqck6sBGgLQOHWjdCAiGqAhAI0hYe4BmhBjBUHi6IYybyXg0Wo9fBTk7ZIWpjQ/e2QouJJgrs4FgC6Z/LJ1Glh/DVB3PwJ+6mF679ZttnLmdAWNaWX9ZTrVNFnQQ5P5IS0E5uktZ2H2lmMaoCEAjdGvtdjEEAgBaC0EVsNDGc8hAI08bFUlslhBkABvTQWPc/bL56fM3ls0bib4maUAPykuuFIjwZ31+wRA1wWnASp8YI3l83PZrmx7Y9NSG6JI9ud06adrQ6ZFmnuYZ97fBgDNO6kaoEfKuEIFtHjJI4C1Qj4/n5bZ+4COSYKRbS1Fpu7lZYKGqudb6/Lt7TXBAFB6DsAtLzk2U2b1727YZ5f0bWMjerSwRlRJO8u1LygA6lwKKM8G0s48oGBEP5u+xR6fv89aaRz8PoAgSIBIrAXw+YnZe4k0zr/SM926SvPT+bfWfTAvQACKiCKanzJ7373PnpfPzyHyrXxFRkdrrn4soz81pmYJUAYFQPWoo26JLMwIsDQjd7fdJHP+MR0FP+lQlRcCUMnhJCYPDqM1QPmbBTHaN2gpATjQ3vKLX7+45lzM1YGj+LxkEQvkY8HPIhg4wUKZhTjnch8HFgJNgYtAC/JAqwe/giyUWah7jSL2ARDQnKScygAU7Uo0QNGmIn/KqazpCQClLTUFoEAJFvWrV692gJVz0Vzymq90De1HCw7zekDsbAXcHDt2rIMVtNcDBuADdeJ4tgF2p02b5oAGZbz00kuu3p9nQHYSh+pxRZ1KABTwRD8yDj0ARQOU9HnuX8Yv1zSae0BJHw2cdgEvgXNcl36cs/1Eiesd9xPL5HrNy4rrl2semEYC3kX7p/T5AsoAn8wJEydOdJqKXE8rFSOEOjB/cJ2xn2uWwGiYSXMeGpj43UVD0QNQX35tASjnUQbXLy9UmOuoI/UG1qFB6U3ggXQkjqceaH4DLzFVxwQcsEed+QAc8YsMTKfu5EkiL7QqgcTkw4d9aLVTNvMScxEAEsDr51mvVeoBKNCQxLkcw5zK/M45bOND3SibNuJChLZkZGS44HfIjZdQtIljqTPHouGJnGkTbkr45hjKoL24A+H+QZ9QT14wofFLX7CNeZG2kA8vzvgbubAftytAV+4b5He2Yt2g/YlrExL1PNVTCEDj1EMhAA1esMDIz8oEPgSgMfqTe4Am2k8D0PZWViK/UZpkS4sO2jI9fB/mofuss63daT2cD0M3QasvgwKgR2RmH635uUoPO801UWfqjVkzRQN1Eck1GR/M32vzHg0BaIyerPMmhkAIQOssvhOeqGeYEIBCZKpJ0QD0cPlhB90S9eJle2HE52eyfH5eetoga5/UUlHOQUoRv6Pr9+0IBIAWlha7ObApPj/zttis7FXWv01nG5ve110XLtK6Sm0g6BrRAD3JAPSwHqh5IBY0W76t0P4m+DmwU7JdLbN34OdRqTVyDR8VOAwCgA7okqwXXGA05ZnYwGZK8xOfnxfJ7H1kz1RLPBIBbNpt5TooCADaRG0r1z0A2FxQXGbPf5Rnr65UlPnNpZai+1B9NUBhyAkigHuLSmX2ni2/4+V2u7QiOyU1E9/VTgSo+2BQAJT7Y0TzM+Lz8xmZoY9IS3Wan8BP9rs+05gKCoA6zVn1x1G1Y4rg56zcPXZVRgcb27mdJao05iOtaGxKdqgBytg9WYkFNYvZaACKNhGLSzSR8MGJCSZgkWOjF/XUkQUumjpABszdAQFEesdkFjiIVg/nkcgTX30AomgAiv9NykfjFJ+vfhHPeZzjtT2rA6CUURl0VtYARVvMt8UvoCmP+rwlE/gpU6Y4uIF5+7l6viOYE5DAt5sy3PWhAUuwJ0AC8Avt1Y8++siGKe4E8iTSvc+fc0jkgc89NGaREb7/fL6cE6baSeBUA6D0IWPjiwJA/TgnQA2w7ykFKfPbCOpzp7QsmRtiBcOJ7kmuLxLXEebU5MMzPXkBwQiGxHUJrONYIBmakP668+dzPDJGs5r6oBEIIEPTnJcnsRKA0ANW8vPt8H0FAAX0ca2Tf/Q1S7ls81qmzA+cx7yEaxDKjAagaD8iDw9A0TxlPxr1aMTTZs4n8U1ZAEC+gckAZl7q8NvXjzpwPvtwsxCdh5cH+VEnXAXQHuAhcxF5oJ2JpihaoCTO4YNGL+1mnmMOipYxx6HRDlimPoBLIrXTXm+KzznkQ/J1dT/0D8dnZGQ4bVLcFtCvJI4DoD8nd3i8MEPLk/bQXvKK/hu5kKgXbeNlAsD2yiuvdLCYvD4PKQSgceqlEIAGL9gQgMZjUgnWBL4FN8kymbcLDKzWm/dCPVD2Hn2WtdUD5VFNlJFJmZ4MTgMUwOnM3tH8lJ/RZN14+4w5W/AzNaJtqsLQRj2YvycEoAFfltxiuTGGJvDBCpZnl1ADtPr5bm7uGssvPmhX9xpuRXKj07RRomXL5+fLCnDUUtHeLzttiLWR5qcDPK6LggSgPa1A81zzRk1ctPc52Qp4lNbVRlf4/IzAT9rAwuDkA9BbRnSIwEjgp3x+PiufnwPk8/MKwc8WTaT9IC1CVcwB0sAAaGf5qwaACqjO+Djf3tu4PxLwCLN3aVBSpns41gAPygS+ifKl/gcEP5/+YCe4TrD7qP1iZp7M+xvZI/XQANUtq8LnZ6k0P7N1/5K5fs9Olp4sn2j60VC/fWChYABoV/mLZ1IVWFK090kbt0Z8fnZrb8mC7LRNlvcyUafcoABoqtMo1WCw51Ue0d6vls9PND8bo8ShPqNKR7UQCgGoBHESE4tLrpdoAIqZOdsAE0BJFsKYbnOsB3YsTPmwHZNVNIyAGzUFoCz4MZsnTzRCgYgEIGKBS77c8/mmHh6Aol3Jwh2zTLZV1gBFbNUBUDSIfFtYeJMoB3N2tFPRAAVuAAaAAGioARR8u3m+9B80tqizB6BAAgCEN9mlnv5Y2sHffFMu7gSoKwAoTHWTQAhA6ya3mp7FeOXa4KWA1xb052LSDKRkjiD5a8nvr/xNXswNaJIy7n3wHY7jJQkvJTAT5zi0IzGXx/VE9HHsI/HiAZDJtck274YATezoxD4AIJrpvv5oMgJgfeJ6/Ym0LnkBwvHR7aDtbOOFEFqLAEifmCMw5/aR5tGSfeSRR9xxvHQhjR071r0YIgAa/oDRJPeJeYAEHCQvtCR5ecI84/dRNh/cAjDHAA2Zp9lG8t/MM5jC33XXXa69zMfePzFBhvA7jHyjz0GugEjkCOD2yeeJdju+bWkD25in8UeKmf1rr712LEK7P57zqTd+OoGVBCvCbQHyR6bs41hkCgRFG5i8uIYZF9H5+LpwDhqhZ511lgtGxz2jOtjuzz1VvkMAGqeeCAFo8IINAWhkUg5WskEB0Pdl4n6etU7vbEUFB2T2Lp+f8p8y8NLLLKVtmqvy0aORB+bIj/oC0LlWuGevDdMkjingHt2UV8rnZ3IbBTw6d7w108R8RDcFPdKqOG6cIQANdtxEcuNWHwLQ4CXLM1QIQKuf7+ZtX2N7pGl+Zc9hLhBg7oG9Cng031Jk9n5Fr6HWumkLwc+IhpMfsUSeD0ID9IxOPV1ww6W7ttjrG5bY8A497KwufeTzM8EB18hrHkplYX3yAejNAqBo9K3KKbQnFmy3LGlnXiEfnCmN5UASyqZ9JOerUwCxvhqg1w5uZwO6JKntR236qj02S/5Eb9C2LAU8aqx52Gmiqkw3I2uABwFA/3VcuiXJIWZR8RH70/xcKyott1tGdrSFCrb09efq5wP0O/27u37bJ5+fD8u3p0RkX+1Tofmp+gMiSUEC0K9Ks1TE1Rbj81PR3ke2ax0xexcQ9fCTMoMCoDfIxH1wWkstfI46M/tpCqqEdutZ8vnZmAZXtBMdoRCAIvmTm2IBUHxYshDH3xoQAu0hwAELe0w1SWjosEC97bbb3EIa7SAgKCAATaTaaIDi/xMoAVCgTOrkzSMpC1CKZmhNNEBZ6JMPmliY21bWAGU/wIMFN/XnQ50BIIBfbwLvo8yz4MYcHpDAsT55cIvvRw9AMe0F0raQVRAaWIBQv/jnPGTm5Yd82R+dp887/K6ZBEIAWjM51ecoD76Ai2j2MV65doCPvCBAQ5pU3Tj2gIuXCVwv+L70Lzm4xjC5xrSZfIBkmHRzbTEX8TeJQD2Ui7Y1ZXP9kC8ADbjICwyuQeYerjPgIv6L0TDHX/D+/ftdfrw88WWjqU1eGRkZrozodpA3HwAmdQEUch7b8Nc5fvx4Z9rOby8ntEQ9APV1pZ7UC01OTPYxEwcUogU+cuRI90GO0fDTVUb/+DrQRjTGyZ8AcN53KPUHOCI/QDIasRyDzGgLbgLYxyc6kS95UCeuI+qH2TzAkboAhpFbtN9n2ogsmNuQIfJA1pxH32ASDxDmXOTu57doqEy59C8B7vBvSl6YzlNf72MUOaDd2717d2cWz4suNGn93BndR9FtOhX/DgFonHolBKDBC5alU2gCH7RcAwKg89+3/hdeoGBDrRR5fbod0MTbd+w4a9s9IwIiNbF+amLU4rF+JvARAHrG9dfZ7k1bpPk5w5Xd//wKn5/SQhURccJiUg8BaNDjJpIfDCAEoMHLVkM2BKAOlVUtW0zgdwuA3qTI6hvl13OyND+TCXjUc6i1UcCjMj3MiRxFpQA0QFdprkvrrABHfW3+tnU2O3uFDUxLl8/PvjHgJ0WfXAD6l/e2K+iTTGRHdbRlWw7Ysx/utH4dkiJm782k+YlNtx6+mR0RTRAA9Fezsu0awdUBgp0zl+2xudL8vDCzlY3sIbN3SmJAV5TpJKLf9QGgHymQ06sr9tiPzu9qxTJ/f+r9HVZYUm43Dm1nnds1s5cX5tm3X6pbFPg3s3faSgU8u/v0nrarqMSeXJ1tpfj8VMCj9BQCHul+EjWmggKgBKO6vV93W7Iz356TGfqg1i1sYo+O0vzUog7NWQRXkYIAoP+9YoPd2rOzXDak2ovyMTp7+267rntnOwf42TBSkIe8IQD1kj+53yxqeW6K1gAFOgAg8WmHVhEBR9jGcw6Jb+7J+PlkYc2iGC0xNJlqC0BZDONb7k6Z07Lg9lqh3jSUxTNBkHxEdRbsVWmAAj3RROWD6SfQBtiAphP70LTCxyBAgUReAAkgAt+0A9gKLKHdLMzR8sTnH22jPizQiVjPfhbtPggSpu1sYx/+PZEHMMQ/lyJTACvRjYEnaJDS/mhA4CoV/lMjCYQAtEZiqtdBXOuMYa6j6MSYBUgxD9Q0kRfjHWDm5x3O5frg2uDD39HHcU1xjZGAebxcANJRtj+WfeSH70iOJ5I81yjHcTznkTdl+7b4a7Im7SDvynWm3dTBX7vUmTmL43xiH/MLZVE2mpxoXlJP6kMkc+rnj+E4Xy+fB9/k7WUCOGRuwsyeRB58fF9Uli/5URZlRCefH/3KvLZ9+/ZjL2jw6Um9fJ7+PH8O7eQc2sGHPIDYyJtvyvLjoqr2kB/yIi/ahHzYxrnkQz2Yu8nPyzlWfr5+p+J3CEDj1CshAA1esCEAjV4CBSXfAADopg22ceEHMnUfYzvWrLY92Vssc9y5zucnAY9iTop6Vq8rAC0vL7N18+ZasSbl00aeKeD6hjXXZJw5/jyn+enKrICfSIlJOwSgQY2XT+fDkosbYmgC/2m51PeXhmwIQD+FfGJLFBP4gsOlNrrDafb3VXMFP5sKfmZZu2apDlodP2PWH4A+JwA6rGN3ayJz+1fWfmiD2nWVz89PAh5F0GJ0fU8iAFWxj7+Xq2j3idZf5uh/1t+D5PMTOJkSZfbu5cL1W18AWqigQ7+ZnWO3DuugwFMlNv3jPXZ5/7Yu4FGi6CDzL/cAXyaSYVt9AOiH2QdcVPlvjO5kLy7Osz2HyuyWYe0tvVUTpx350ke76gxAZ2XnWbYWMtf06GR/XrVJ4+io3Y7mZ/Nm0vrUvYQGRKV6A1Bl8IdVG61d08bWt1WKPSVT+zOk+TlBPjiBok5+dFRUqi8AzT1UbP+7cqOi2HexNfsP2WvZO+w6tXds5/YC1rLUUHnR/RUC0Cjhn8Q/PYgALI6VuSNaWMBQ7rmYoqLNA1RAqxI/nz6x0MasFLNM4CEaYmgBsRhGWwftIrSECG7BsZFnpIY2c+ZMZ25OdOCpU6e6fYDUMWPGOJD6E2lnUg6Lb87BTBI/o0ANfOoBvdiHFhRaXRkZGc5EnTJImNcSuIkI8Jhw+kQkY4ItkQeBiNCcIlEGJvGcQ5snT57swCX5oUVKHufKPyCQ1mtDcc63vvUtpx3LvAMARXbI0mugAoYByGhC+bR27VoXzAnfd/hL/drXvubOodww1V4CIQCtvczqcwbjvnKKufaqfFDU71h5+N0+L46JPs7/7ffz7f/m3KqO98f5b5+XL9N/+/3+d6zvWOdWPi/WMb5+/lh/jP9NWR7wxSqXbT4Pvz86D/JhviIPn6ff74/32/1vvn2enMfc5ZM/lm//d/TxnOe3+3L8sdF5+mN8vtHf/ji2cVz0b7/Nb4/+zd+fpxQC0Dj1VghAgxcsS6hQAzRoudYHgEZuuLs2b7LVOGvmLZY29ZJPkLTu3aW1EnnojVljHVcXAMpEjM/PDQvet9yPV1szmS80S21hfWR20UwQNBZw5ZwQgMbshXpvZASEALTeYjwuAw3ZEIB+CsEcJyJZcR+xBTs22NKdW6xxg0bWWL4uL5PmZ9tP+fysfF59AKi0LaQJOGXNQpdpYXmJ9UhtZ2O6ZFqiFsmf+Pw8vsyTYQIPyCzVh0BH63YXWfPEBMto1dSulM/PVDQ/K8zeo8EW12+9AKjOB4D+alaONG4bWZH8f54lrc8z0fyseHB2D9+VRMKcXGcAKgK5WAGdnlm407qpfZhvXynA27V1UztapnuOxsGLCoRUJw1Q1XnO1t02d+dua9U00UqlLXu9tCTTk4/X/PRNqg8A5Q6pOFX2p9WbbFPBQUuSZkzflik2oXsHS0n4xOenL8t/1xmAKgN0SbdLq+N/ZNbfTGUc0P304i5pNrZTmjQ/NToqaZtSJvUMTeCRxMlNHoDiMw6tRMwN8anHPZdFNYE9MFFHIwifbmg4orEDfEKTEQ0dQB/ajiS0g7p16+ZMIxctWuR80/nFNQttgiDhb3OsgCHQ1O9DyxLtTLR9iPZLeWg5UReiP2P+ibmoDwRC3sBaIg0TBZ58yP/3v/+90/wEvFJX7z9us8w1AZlAXb7RNiUBexcuXOjMN4GqANArrrjC5YdWFL7s0H6lvrSR9tIGNFUJBIPWKFCXPKkD2p+cQ73x6YffOsxCKR/fecgNDVO0UDGrp85hqpsE4gVA6Uc/Lk9UMw/cFyxY4AL4vCWzYw9sgPuAc2B7ZG0Qu4/Zxzlca6c6BKeusRL1r22qaV4c5z++DHevV5mVy40+zufvj/HnkIff5/Pz3/5Y/7vyd6zzYp1zouPY7vf5b1+vWPlULt//9vlUlYff58/h+0Rl+GP9ePbH+rpF5+H/9nWI/l2T8/zx0d/Refm6+P2+Diequz/uVP4OAWiceicEoMELNgSgtb+ZVd8LdQOgkfttRB0e/5uL5Iy/SXKSDbjgQmuN82uZoOuWcsKJHVBaWwDqysSPqB5I1s+ba6venGM9hg8TcCXgkXz96eE+1mTMxB0C0OpHQl2O4LErBKB1kVzV5zDWQx+gJ57vpLMkWJNg725bay9//L4N7dhD0d4Hy+cnZu+fvC0/Xsp1BaDqED3YN9TnmZXzbEVejl0qH6MjO/VQcJ8EZ2rP/Sl2Yh6Mrw9QrkOA8JHEBvbUu9tdFPSbsuTAf2AbacVKg0lQi/pXriHn1RWAuvOUIdD13lc22MHicvvOmM42oHOy8/nJvOsekmMIhX11AaBA5oYCux/vKLQfvrrJxnRPteuHtbNOqTK5E6wERhIQqS4AtIz6SuNy/vY99p+LVttFXdrZzYKfHYj2HgMK+mbVFYC6PlMmR+Xf8/fLNtisbbvsjj7pdlHXDpYk8OLunxwUI9UVgAIy8ZmNX9O7319hBXIb8P2B3e3M9m10Pakw/e/N3qOLDQFotDRO3t8eHOL/8uqrr3YAlCjMHoBiKk6wDIKXAAq9KSXXF9Dvtttuc0GM2M61iAYo2o/4hgMSZmZmHoNJwD5A68SJE12k7EmTJrmGkhdQFfhIVHXgIeUCN2+99VZnwgqEvfTSS12EaE5asWKFK5djON7PBWhXcqwPFsI5wFXaSQRjNFkBZ4BMEn4CiYYMoEQrkzoBRzme9uCzj6AimMZ7SIBsCACzZs0aFySKfIGzHprhj5CAKABiTEQxx2UfUPf66693bgXQkiXFep50O8J/qpVAvAAoBTOeapIAoGgKA8XpS84DoOMTF/BdkxSOgZpIKTwmlMDnTwIhAI1Tn4UANHjBhgC08vI1CBnXEYBqQdhQC7fDJcUu8nrehk02UNFCO8vRc1mFn5UqHxz0/FIbAOqed7TAT9DD6p6crbbs9aluITfyxhusaUoLF3n+uNV9hXh46AkBaBBj5fg8eAwNAejxcqnvFsZ7CEBjz3eAIQINFcv0/U9L33SivrW/tM6l+VmqhWzVqS4A1KEop+W5Mm+rTfp4nmW1724TeinwkpRHIgvv2HWN1CW+ABQYjBYkkddXbj9k//t2jvVu19y+KfPwlKaxNT+9jLh+6wJAOQcIx5z75tp8+7u0Ma8bkmYX9m9jCY6WReDBiaTCnFwbAOrqCfzUPadA0d7/PH+703L94fh069pGpunSbuV+49tSWwDKqGko7cc9xYelGbne8vT948E9rUvyJ9Hevcwqf9cFgNIeymyg9qzYs98eWLrBMlOT7P8MPM2SEqX5qbaeSHaUXxcAyjkaJq7PXt6Ua39fv9W+0jPdrujeyRppH+b9seCnK0//hBqgSOLkJq4TxjVm7gBOzNjRnCT5fT5gxbp165xPTDQfO3fubESCJmCGh5/+HMzp8e0GFMSXm99OOUQABrZy/pAhQ9w+oCkf9m/bts19+I0PODQ5MTEHzl577bUOxnISJvGAT/z7jR492uXDP4BGwCSBi/D3ByBlP23hNwE32L9jxw4HJAG01AOTfbRM0SpFM5PEOcy97EM7dOPGje43dQLyok26QUFdiJiMHz4Sx3MeABh4CpDFvx3RkNGMJUgSvvKAwbQ3THWXQNAAlH4jEZyFyN/Aa549/fbKNaX/6F9eGDCm+M2xaH5eeeWVzmUC4yFWP7ONscpYwM2Eh6Wxjq1cbvg7lEAogc+HBEIAGqd+CgFo8IINAWg8HshqD0BdQAY9IB4uKbI10hjI1YNkMz2YD5XmQLKiw5WX6mEZMlBV0rNM7QCowIWcRefroXaVHrj366G3g97gZqnME2l++uJ56AkBqJdGsN88koYANFiZkhvP+iEAPX6+Y7w11qJn+8F8e3nNB5ZbuM+Gyv/ndX1GWFGZAlpUiY2cZK22UeDBn00SGtnSXdk2e/NKyzu4327uN8qGCIIeKCuxhBqUWVMNUNbcRdJkf3DZDHtz+1rrk9bI3vruQGsqUMaYqCwR5OFM72X2vXyrzMI/2mm5+0vtqtPT7CqZhWMSzqKt8nlIgsT5HhrWNAo8wJW6HBU1m7Vqr725Lt8OyfT9++d0sdPSmtkR/Z0AQHAlxP6HObk2ABTAC6UrFPyctCjPlsgEHq3Pfz8vXab2FdqSKtG3pTYAFM8ADQWPdxWX2tNrc2zxnn12dsc29rXMjCo1P33LagtAkbmHn4t37rPnN2613KJSuzg9zW7p2eW4gEe+nOjv2gJQyvTnTFbAo1fl81N3RfvxkF7Wp2Wyk1t0YKfosvg71ACtLJGT+5vrBegImENj0Se2+w/m7V7LkWO4L5MqwzzyIXFMZaADECKf6HPRCn344YcdNLrpppscROR88iXdc8899sc//tH56vzFL37h6sA+8iH/6Pp6AMk+6k05BAEh+X3Uz4Mp9pEXx9I28vLl+nMog3PIk8Q5HEcenMPv6Hb6vDme88ibPDmHY9kfXYbLNPyn1hIIEoDSRyT6Bk3kn//85y4wTHS/RleQ49lHHwNKges+8UIAbV8/rmLlwT7KAtDffffdxrgnT39d+LzC71ACoQQ+vxIIAWic+i4EoMELNgSgVS0p6yrv2gFQ4CdaOKVFh+zjOW9Zgd6k4+9zX+4263fueGvZocOxB98qa6TnmZoAUPfcI5PWBD207AV+yi9Vc73Nb6gH5zI91ABd/cPRicpjfwhATySd+m3nsZSHwjAIUv3kWPlsxn0IQD8938nAW/BTEX4L9tgr6z60w4r+3SW1jUzQG9nVMkcvVXC04xHhcZKtBQAFfZqDn8t35dis7OXWt3UXV35W+wwb0amnwF+JsNun61m5RDBjTQEoJeJn9H+WzbIZuaurBKDHND8FP1fkHrRJivY+oGOS5RWWWrvkxnbziPZ2VHSvKhRJ+zw0rAkAdcfqnKNiHzNX59s7G/bZ2NNa2rxN++3awe2c+fsRQdcELT6rSszJNQGgrn5aiDZQGw/KXPuvCwXudA/qKt+fy9TmH4xLt2aJqgwHKvm21BSAes3PfSWH7fHV8iUrLdCWjROtSGPrrn7drAHkr5pUGwBKNR381AJ7ya59NkkwckRaS9tSWGRtFQTptt5dnSZmNUUeg5mztu60qbl59uusvvLnGRuSO/CpDJlTXpLm57s79tqo9q1syZ4Cu+W0LjaobWr1GqecrzpPyd5q31y0zGki4n8Sf4lAJoABvh4xV0YjEV+VBOGpKUgCRAEaAGmNBaGe/t2jdt1dd4QwqmIgcL0AZEiVIUz0vorDjwG/WPL3kLRyPpzr8wIK8Tfno8k5btw4pyH56KOPur85FrhE8CGit6NF+eabbzptOfIn7xOV47eTB+VE19Hv8+VzDHn5enFsZWCFXNgffQ7Hsc23oSbnxKoP28JUNwnEC4DiBoFgWmj4Rvf5iWrJGKicKo+HE+3vrrUN7hRuv/12N5ZiXTOVzw1/hxIIJfD5kEAIQOPUTyEADV6wIQCtelFZN4nrIVcaNK8+/7zdrwVLYrPmdrrMQ/rKUXi5FiXRDwoOfspHWqn8P60WiDyQt9P6nn+BHdED7/r35lk/RWFPFQCtfF7MeumZpDoA6p5bMHvXgihfpldL5aS+hXxC9Rl7jm1btsz2KzrpsKuvcYu3mGVUbIw8BCfYwfw9Nu/RP1mhotRfd9EEu/+e+5ymkjMfjYNo/WPXosnyT1WuSNVfvd1KCw9KOzYOhUUJoKjwkM19/AnrNmy4+mSMHS4WpIlTkbSRh8IQgEZ1QAB/MvZDABoZtIxdwBZR17cd2GPPfzxfEc2b2+U9smz1vh22p6hAAHSEACiaTdUN9NqYwMvPaEKiLcnbZNM2LrMR8jM6smMve3ndQoHQTnZm5152MEAACtBsJH+itOO/Fr1m81XuiTRAue7KJZMGgn/LFRH9yQ+2W1aXFLsiK81e+GCnNRUwvPWMDo62VSUR8vHQsDoA6o5TZkc1f72xco+9vX6fXT0ozfp1bG4PvrnVrpHW6enpyZr/gwOglIlp/6HSIy6i/aHD5faVkR1t94FS+8fS3XbfeV1dW7leSL4tNQGgTvNTctoj7cs/Ktq7irHb+2bYx7sP2Ir8/c43plN9jGR9wn9rCkBdnykXfFgv3ZUvbVNFexeIvDSjkz21erM11731zt7dIqTyhKVFdnhtzuoAKGVGAGgDB1unb91lX+/T1XqlJtvDKzbYDad1tsFtWoYAtBp5nwq7eY6Jfh6LVScPe6o7Lta5flt0OcBF/H0SiR2/mV3l3x0TYjQl2Y65PBp2BJVBE7SyhqbPs7bfsdoRXa9Y+QV1Tqy8w221l0C8AOgLL7xgP/7xj50rBsa57/dYNWT8Aur9ywOOAY5XN049lAeA3nvvvc7XLeWEADSWlMNtoQQ+nxIIAWic+i0EoMELNgSgVS1l6yrvmgFQr/l5WL6jVs+Z40zQMxV5vX3vXrZd/nU2zH/f+iuiZlAA1C1oBT8byiwJs/ePpV3QVP54+skBfhP5rVrzztt2cO9eG3rV1SEArdT1IQCtJJD6/hRFwFdf0f4D9u7jz1rPMWdYr1HD4wuWVWYIQCPzHWCwiaDRdpm7T16nABkJje1yRXtv3zzV3sxZZfnFhYEDUDQxMbVH83PG5uXWr00XG9+1v0aSQNKqeTYgrYuNDBCAUl5Ek/SoTVd5f9uw0LaXHLDeaQn29ndP/5QJPPLQ1KgBYs7n59PSiuzTtpldm9VOkY8T7LF3c61F0wQHQI9KKbaqu4YDZJpsCRxUFQB1YFFFctycNXttztp9dkFmaxvVK9VKS44oCny2XT+knQ3sEgwAdfXS4rWhAOUBmb3/Xdqtew+W2c0KeNSlfXNbvLHAXl+1x+4bXzcA6jU/90rz86k12Vaol31f7Z1unVNT5OZgp60tOGDfG9Bd9LD6yaMmAJT2RMzeG9iy3fttkvxvDmzdwq7M6GhNBJN+v3yDpSpY1R0BAtBozc9Xsrfb9K15dmXXjhrH7W3voRL7b5V5i4I8DQoBaPWd/CU9wsMlIq6/rECXb7zxhtO8IwI8/kj7y+c70deJHJ+cnOykVB/4+iUV8xey2fECoAT8Qrt89+7dNZKbH8PRB1c3Rv1+fOhS1l133RVqgEYLMPw7lMAXQAIhAI1TJ4YANHjBhgC0qqVsXeVdPQAFfuLTE5+fq9+cbYW79lhvwU9M33m42Llxg236YIG0DYMBoB5+ovm5d+s2+fycacltWknzc5yL9n64qMTWz58nAJovAHpVCEArdX0IQCsJpL4/RS9CAFpfIR5/vmN4mlee+efL9oPf/MxaNW5uP8662IanZdjhIxH/cYA3zN63Hdhrz69+31o2TbLLFO09TfDzsEze38tda3uLDwYKQAGMzQRZl+zabLO3rLSBael2dudMaWfK9YfKfEH1GNA2OABKeZiMo4k+ffMSW7s3z9YX5duKgh3HAVCk6Hx+CkQu33rQmYQPEXS84vS2gp6NVL8j9pf5O6QhG9EADQKAevh5RMB1xqp8my9z90v6trah3VrI/UADmaaX2QOzcxQEKRgA6uEnZu8FRWX2tOAnEeZvBH62bKKLsYEtktZrXQFotM/PJwU/STcKBHZu3sxh6Nk5O21NQWFgAPQT+NnQFufl29/W5diZ7VrZZYKfKXqxclgE9Q+rNloLRbcPCoA6GepxQXd3m7Qu2+aq3GsU7GiMfJti5r/9YJE9tGKTi3IfAlA3BMJ/TiABnvH4oPGZm5trwE+iwhNsiSjtBCUiajvHeHB0gqzCzV8iCQQJQL3YGGMENCKQF5rHjDe2xUpoeeKWgyBIa9euPXYswcGIBE+gL3yDxhqzPl98hRJ0DNBPinVsrLLDbaEEQgmc+hIIAWic+igEoMELNgSgJx+AagXlfH6WyK/X6rfk83PnDufrs01GhjN954Fg1+ZNtnEBALT+JvAirVq1VZi9C36umDnDklu3ssxx5zr4ScCjo1rkr5PJfUQDNASgla+0EIBWlkg9f+saCAFoPWUY4/TqAGi5Jp+mMkHfVrDXXpLmZ1KjxjZBmp9pzVtYmbQDSfNy1wQKQOVpz8HPZQp4NE2amIOAn+l9BfoiQRHKNDe98HFwADQCPyP+6qZtXmyb9u22sSrvH/I3OnP7mk+ZwANI3VpPwYBWyf/l0x/usL6K9n61oq+nNCboR8Sv5hPvbbfkAAAo4JP5X//bEZU5UwGPZq/e62DryO6pptAirg8Oyiz919IADQKAurIqND8L8fn5wQ6Zv5e7vNNbC7KIXmISX1cAGtH8bGj7tfD988dbrETuW5zmp6K986JP9pE2Ozs4AIqAIpqfDWX2vs+ekc/PIa1TbWL3jpYsDWNkXK576B9WBgdA0UhFjnxPkc/PaTJ7v17lje3UTn0WWcRvlwboQzKBvznUAKWLwlSNBDAh9lAI4ORhJ6bC7OM7hEPVCPFLtjseABQR4ie2RJZoNUnUgcBc+Kf14/fiiy92Lhv69OlTkyyMoEnA1DCFEggl8MWSQAhA49SfIQANXrAhAI0sOIOV7Ik0QC+wcpkHNkxsJM3PYvt45kw7sHuP9RXkbNMtXZF+hSf0IIxm6K7NG+sPQIcNs9KDh5x2T4IeNtD8XPHG69YiLc0yzz3Xmian2JEyLSWlvYLP0XV6AxwC0NgjIQSgseVS562iCSEArbP0TnhiVQC0WJqWzTT3bCvIt+fk87Nl02Y2sddwayUNUA8/yTgoAFqiFyviUE7bdGneFpu6YYkNk8/PMV0yXdCkIwKf3H/Kj5bLB2kwANTDTxZmUzcssg37dtklPQZbRos0u3/JGzY7CoA2kaZguV78NJCZ9PKcAw4MZqWn2AQ0P7UNMEg6rDYEAUBTpE0KUIVxHtE7qRkr99rbCnh01cA0y+qW4uBnZP6XBqgAZRAAFLN+B1PU1kJplT42f7uVqV3XD2vvND8bsh8oW0cAWqb7RoLy3iULgkdXbrJEQd2beqZbF2l+6kHYye9IgACUtjDG8fm5RBqYwM8Raak2QT4/m6scYSRXpkZeYACULosAULlqWJ9j07fl2e19utlZ7dH81D5ViPEWAlAn+vCfWkiA650xXTmFfhErSyT8jQTiBUAZh3yqSn4/Abx+8pOfHAdAgaL4siVVB+7ZX90xVdUl3Fc7Cfi+46wvgtx9e74IbaldT8bn6CDlGQLQ+PSRHC+X29T571kjme9NGD3KBSyIU1Eu24aapHPlE2XS7Dl2btYQG9G3r5WU6i2ZtscjkSsX9PurVtl7y1fYHfIB1FrmAmVE4o1bmQ2s5HCpvfT229ZMb+Wul1ZgJPJvPFoYyZNFb5HeNr4gAJjVN9OGZsZXrpSaoEAYG3Jy7D0F+pk4bpy1aN48jnKNDUAzL7jAaVpi9r7mnXesYIf8zJ0z1tJ69BCIlBamHkCQDX0dFAAtOVBojVy0922KMI/Pz2TrL5+fTVNaROCnG8oA0LIQgFYx5EMAWoVw6rJLz9ohAK2L4Ko+h6V0gkBQZRP4oWndmFlsh/P5+aG0QBvZ5b2ynM/PUkGs6BQUAC3SnNIUn5958vkp7cv+8vk5Lr2f7t+KZoz2k6uRtE8CAqDlIlEEnzuqb3x+bti3087vNlC+RjvZwbJS+83SGQKga49pgDbWPEvk9VU7DtlfF2gubtfM+dxMaS7NlDIGqCSmOblUX0EB0HJommDjmxU+Py+S2fuZPVOtER3H+lNl8QwQBAC9Tv5LiR7fUICyoMLnZ/6hMrtFkezTFfG9AZqfKquuAPT8jh1V2aMu4NETMns/WHbY7lAwoC7S/AR+NlR7aFaQABRQz7zhfX6e3qaFTczoYMl6wefcyiBGyTBIAAoHJ89Xtmy3N7J32VUqb3x6O2P8MD4i/RYCUIk+TKEEQgnEUQLxBKDVVduD+qoA6MCBA906xgc8qirPLxu88vKriWyqkltt96HdS9nImxcrQcr9ZLeJ8nyZvj21lUd4/KclEPT4CAHop+Ub2K8QgAYmymMZsQgNAegxcQT0x/EAdODEidZfZiLFhQfs49mz5PNzt/xvniv42T0CP13JFUhAN6p6A9ABp1t6Vpa0SstctPfVc2Zb89ZtBFzHWDPBz3Jt/yRyeghAq+v+W66uAAALmUlEQVT4EIBWJ6Fa7hc3CAFoLWVWg8NjAdD/O+QiG9Whp23ev9NeWvOBtWqSbJf0HGRpzVrILygg8tOpvgD0mj7DLT21reIJyaemAh7h87Nf2852jszQAZRe89OXGgQAva7PSD3YR7QZp29eahvy8+yCjEHWp00Hx6iKBEB/u2ymA6C90xrZ7O8MlDasQNrWA/bsojw7vVOSTRgozc8mgp9OSzMyF/NSKggA+q/npluygigRRGfmavn83LjfLlTAo+EZEZ+flHlsYaJj6gtApdRv1w5u5wDvAfn8JOBRkSLJXyvT/i5R8JM+qAsA/V3W6XZxeifJudD+qWBApar/DTL99pqf4souBQVAb1Vk9X4KcERanLffnt241Ya3Ta3w+SltXfWTmuxSIABUWp73Z2VaU0WRP6qB9eL6bfbOzj0KsNTJzunUxhJVmNiv+1Ce/go1QCPiD/8NJRBKIE4SiBcArUl1AU/Ms9UBUPI62ZCvJvX/rI5BZh7afVaa3dSBdOwZo57CoD2AM/r5ZLcp6LbUUxRfiNODlGkIQOM0JEIAGrxgQwDql01ByrYSAJW26ZBrrrHuo8+yFTOm24G8PPn8xOy9q3ug4N7E4t0l7lP1BKCLX3rZOutNbPeRI23nuvW2YtYMS2nbxjLHKuCR0/ysrFEcAtAK6Z/wKwSgJxRN3XYw5qXJFUaBr5v4TnTWcQA0sbn9vxGXWSfBzmdWzpNfy6by+TlMPj9TPmX2Hp1fnQFo/g775/rFBgDt07qTLdy+wWZuWWqnKwATZu+J0j5wGnzHUFWk1PoB0PW2UWD31n5nSWnziL224SPbXLDLLs4YbD1bd3SwFQ29EgWA+q00QGdJAxQAOu+eQbZmx0F7Qibh/TsmuWjvyTJ7dyqLqtax6ViTc30B6Ftr9tm9AqDNkxrZLJm9z5b258TT02yE4Kcsxh1EY86nTKZ//qgPAH1p8S6Xz43D27tAR08t2G6H5PvzRpm9d1LAI6/56curCwD9yxlZNkx+pH+0cLW1b5Yos/cuTvMT2ozmp09BANAHV2w0AGj/ti1t2a58e3rtVhsm+Hm5fHCmaExh9g6M9CkIAPrqtp32wNB+1lgA9EWZ2U/ftttu6tHRzukozU9p8NJOX2YIQL3kv1zfLBqDAgpfLsmFra2rBEIAWlfJfXbnebi0f/9+FyCqbdu2JwUQUy6QcsmSJTZ16lRLSUmxSy+91Hr37u3WnXWF1L49SPTAgQPH2hRvCVPu5s2bXVvy8/PtPFkynnnmma4t4Txce+kjT4LwLVCskZmyxu3SpYtdfvnlLpAZudVVpp8pAB0ov3//94EHrFOXdJmMH6YZtZdMdWfw/Kc3/tMWfWjL122w71450ZKTmukth06UUOOVMAWfKv8jiTJnvmzUqIjmQrwKU74MgNw9u+35OW/Z2MGD7YzMTCs+QYS7oKqBVt6Cj1fb/BUr7LaLLpIJfIqV46fxGCELqiQa6BpppSWl9vK771jTREzgx7qot3Hrx4oyi3ThvTRrtg2WTIfJcXaJ5BqXNlaICzPAjTlb5VpgmV0xdqwzgY+bXLUg4+byz+dfsAf+44eW2Ky5ZV58kSU0aWJ7ZYbf97zzrV2PHlZeejiyeIvuWy4f/a6PBigANH3IEEvp0ME+emWKpcjnZ99zxwt+Mpbwy1d5TggIgF54uf3i+/8W8e+HZtlx5VR0Rj2+/OxCu8o1v42+9TYrPUTkSq9zVI/Mqzi1+OBBm/eXp6zr0GGS5dl2uLgkLu2jCrSR8Zrz0VJb9tobNvY737DkNq2cj1gVWkUt67aL8jAbbqyoswuefk7RaIvt7Ntv0RzPhB6npPsEfvyK9hXYvCcn2WlnjbReo4ZaaTzlqoYmKCr05oVL5Q7iXTv7zpstqXVLOxqv+VWi4yGjoSDKwr+/YsX5BTb6mzc7H79o/AV9a3b9qNHTSPfHv7862e797S+sTdNku7PXGZYjc/DGCn50ZU/5/GyWLBP0T5u9R/dyXQHoOgHQqRsW2419z7QCufmYsv5Dy2qX4TQ/MXuPaEEcP37rBUC3r7ec/bvtepX5+saPbP2+iOZnPwHYwzKtjzysy8qhAoBiAp/ZvpH97uoe9sJHeda/vTQ/B7W1VPnnlC2+m3uja8j59QKga/Pt3Q377b5zu9q7m/bZm2v32WUD2jj4ScAjNz6irmn6kHFRHwD6ogAo2q3nZ7ayxxS8qVi+pYGf0Wbvvo2UVxsA+q2XcqxVo0T72YC+tvNgqXNxcF7ntvKxmmQN0GKNHkjkzUf3wvoGQfpmZjcrkNXCU2ty5POzpU0Q/EzSHIn8PIj0RdcXgM7cutNm5O6yX2T1tcmbc22G4OctvTrbmA5tZfYeKSW6zPoC0MnZW+1bi5ZZq1at7Mknn7QJEyYc064h4vJ//ud/2iEFTMySRcd9991X48Xz4cOH7e6777Y//vGP1jgx0Z7+3aN23V13uOuwrotfL+Mv8zdjzmvDodHOvTpMoQROhgRCAHoypBxcGe75QWvbhQsX2quvvmq4CLjpppvc2iEe6yNfc8olFRQU2KOPPmr333+/jRIz4V4yYsQId9+sq+YmeXM/eksBfN+RK7cxY8bYJXLXR4pXm3x7pkyZYj/84Q8tOTnZ7r33Xrv++usjz1B6xghTzSXg71875Ibv4YcftkceecQukIs+xknPnj3rJdPPFIAOGj7cfvrQQ9YpPd2ZucZjwYyYEeBrCz+wJavX2g+uu1YAVBE/FVAgXuVRJgD0H+/OdZokE8ec7daQbI9L4sFaMHKbTJWfER0fP3Sondm/nwDo4bhd5LSDtdB7K1fZ3KVL7RuXXWatW6bGD4BWCA4T+OfnzNGiqbHdrLcqpYJk8exHEE+xoOuz09+wof36ybdqvzgD0KPOL9767Bybq7dhV51/XhwBqG48+p+x88qkSfZzTdINtfhI7dbNWnbLsN6jR1vaaYKfWsxF+rvSkpH7lgZB3QDoURdcaek/XrGkNm2tcN9+RVpMsH4XXKho7wp4pIXwcSvUSC0C8AGabTdccoX9+t4fuQUa8Czom6G7pXOB6Npc+OKLqvNhO/uOr1up3AoQOCqeCQD61iOPWfczRsqH6jkCoMWBt4/6uzbqu6GA0ZYPF9niV16z8fd8z1q0bRVxWxAFS4JqL2XygJHYpKnNf+ppKzpUbGO/cbsA6IkhWRBl02cA0Lf//LT1GjtK18aI+MpVDQWAbvpgiS2fIb/O37rNkgQd8L8b9FhFPq4vJdeG8k84/6kXrXhvgZ3z/dtcWc5fYaVLv74ydf2oUhMaNrKnp7xg9/z6v6x5QmMbmJxm/Vt1dMGAOiSlylxZ/eoqF7vE2gNQTN4amAOg65dY/7TOtnbvdustCPmJz89yTT2xG1xXAMpk9oG0TNcKvLZrniT4uVNm74MtU5qf+AONPDRHygSAPljhAzQtqaFN6JdimYr2fv3QdjJNjw0/XR+q/+oDQPH1OVcANKtLii3MPmDn9Wllo3tFfH46iKbrOVoqrlu0oS4AFJApT9I2ZeluO1Asv1/6e0dBqd06ooN1VbT3hrEArxpZGwD6nZdzrEmDBDu7VRsblNrS7uqbYcm6pmhDtOanH1n1BaA79DLmIWmAZknjc/meAuudmmxX9+hkSfj8VB9Hg0hfZv0AaAObtTXP/pmz00antbK3du62q7pqHHdOU8AjtTIG5K0rABWel3l9Q/vH1lz7lw+XOgD61FNPOS0Mb14YAlDfq6fOt+8bahSP+8ap09KwJqeaBEIAeqr1SNX14RkESPizn/3M0Fr8wQ9+YDfeeKM7KZ5zB+Xyyc7OtgekEPfYY4/ZddddZ7/61a+cph8VqEv55Fmi+B2vv/66/fKXv3Qg8kc/+pGNHz/elRePF2uUSQK6cn/86U9/aoMGDXIyPeOMM+JWriv0C/qPHx8rpGjH2Jw2bZrdeeedRiAz4HJ90v8HAAD//7PRNMEAAEAASURBVOydB2BcxdW2j2VJltx7tyUZ994LYGOb3nsLHQIJNQGS0EJiIARISEiAEEiA8NGbMR13G3DvvXfJvXd1/+8zq7HXsrp2DX9yB9a72nunnZk7986z75ypcEjBjkMgm9zcXNuzZ48999xz9tTTT1v7Ll3s3ieftIZNmlh2ZpZVqFAhKiU5dCjXxs6bb4vXrLGfnn2WJSYk2iGVJZohJzfHRs2YaXGxsXZ6z56u7tHMD9tt2rHDPps40U7q2NG6t2pp6VG0KXWpEFPBZixdZjOXLLWrBg+yWtWrW3ZOjkWnFZWfEs7IyrIvJ0+xhPg4u/Dkky0zKztq+bn2Is/MTPv8uwnWsWUL69oy+naNqVjR1q5fb9MXL7azTjrRqiVWjqJdD8muMTbi00/s+SGPWUxcnNVv3946X3Sx1U9JsVy1J9dugdcmI4caZeuaVbZq6lRrf+ppVqNhQ8tRGxV4vjOoKT190DWZm5Nrsz8dZttTU62J+mzLE/tZ5Ro1LSdbbVroWFBB8bJtufr5fvX3HpdcUuy17Mu/f/t2m/Tvf9vedWvtksFn2u9vu8cqxsRYLvXLK1sk30iTlOd//Y3lqk49r7jcMg8eKKJukck9c/9Bm/buB9a0S2dreXJfy8rIiF6eakv66/r5C23xyLHW75brrEqtGqpvTuiCjUyVjk5F7RUbn2CzPh5mGQfSrc81V2h8zT76nAj/RX/M2LPPpr/3mSX17WbJvbpaVnp61OzKNVKxYqylzVtkyyZMtn7XXGqJNWRX3VeiFpRpjPKcM/QbS1dde19/iRpXuXG9RiG4Our6+2Dkl/bIS3+1OI1D5zVpa9e1OdHqJFY37qHFhYkbltqO9P12aavelpmTpdOLu5IZy8zS9u60N+Z95+7PfRqfYCcr37iKMcozVykUnkbOoRz7YPEU61i3qfVt0sr2Z+naKuJ8yq8R1GJVtzlb1tiwZTOsUdVaNrh5e2tXp5HlyLY8n4SXO0N9+dm5I23MhmVWq3KMPX5WIzu3Y12rmRBrGqzcdVVQCRnnMnXg9UkbrWqlGLuuT0M7pMuioHMpF4Gmpc65FSvYtNV77MXv0qxl3cp2Vrva1iu5usXpHk+e9P/86bhuoS/3Z+bYM6PX2RXd6lunplU1/udaxULH71CejP25sRXs0zlb7YuF261702p2Uee61qx2glWQUQrLj7FaidvMdXvt60Xb7cFTm1tCbEzonqK6cPyQjn80a4vdPTRVZY6xq/R8eV+7lta0SqKrcQVXcH3MF2iFXPXHMes221L1/3s6puiLfCcV8CfJ5coOe/S89dDMJbZP7xc1b2RnNm9g1TQ2qkRWWJ6HFI8nmH8sXGXV4yraza2T6BAF5HL0V260k41nbN1hD89Yau1qVLVLkhvayY3q6TpSfjq9oDzJjx6x8UCG/W3BSrumZRPrUqemu4e6Q0dnc/ivLJWpgsaGYWvX2R2z5ludOnXstddeswsuuMBy9IwQI7utXbvWfve739mBAwese/fu9uCDD7rvDydSxIcsPTP88pe/tJdeesni9Azy5t//aVfdfot7bibtIJTOAn6+xXU0bcoUW7t8lfXs1t1O6NzeXfNFtXXpcgrODixQsAWmTZtmb7/9tm3ZssUGDhxoV1xxhdWqVcudTL+MZoA1cA1MUd///e9/b2PHjnX3FL4755xz7Elxh06dOrki/BDjC+MdZamo+wMvxtBszRF8oEyxYgfeTtSHc3gn8L2P6+OEv/vr36fp0yFd4vm/iUO6nL9371575ZVX7IknnrDevXvb448/bv369Tucl0+f830c0iGuLw/ph6ft4/h3X4f89SDOjBkz7LHHHrMJEybY7bff7j5XqlTpcPoF5Uu63g7h+fpzN23aZH/729/shRdesLPPPtv+9Kc/WatWrVxxiOcD54fbqjR18mnwTjxCuuYGK1assGXLllmDBg2si1hX1apV3THKyXm+jL7cvm04ybe3r5v/ju+Jy/ec79Pw+fo0eC8ocB5p5K9rUfF8WXnnPF4+X8ru4/p6+GOc7+vqz+G9qBAel/N8PNIZP368PfTQQ5YqXsCzwv333+/S9/kWlW5hxyqokMU/bRUWuxTfkw2G9wD0yT/+0eokJ1uvK6/UhLm2Ay2qTSlSLNmppEgNt+7cYfv27rOkpk3dhD30GF6yNMpyFvXdsm27Ayz19LDIQ3D0giYnyu9gZoZt0s2mdq2agpE11Ek1WEbepEeqoSrtFNDetXu3NWvcWA+usc7W0bQtfWjT1q2aA8VYowb13XwwmvlxcWHHjZs3WfXq1axmNU3Mo2xX8tyvScSuXbusQf0GuhFqEuW6T4T7UF5y5Ldq+jSbNfRji01IsI7nn28dzz3PQTv6caEDDPEVt/QAVEBAk5wdqWk2Q3nWbtbUOpxxhiVUrWa5AtrGpLvQUHYAmqEb/HcvvmC7V6+x/k3a2PUdTtT02OcVYdu68utGp/ddG9e7m1adZkl2SPA22iFbAGJH6mrB5FpWrX5d5VmCWXx5CqU+cHDXHtu9ZYPVTW4pOClQE+qw5Um18LgyagU9AGxPXedAa93kZOUXzTqqj4gm5KhvbluXatVq1bEqdWvJrsUDusIrUYIjGuMO7Npte7dtsbpJyVZR42voNhKNvurLE2M71qe5a79uUnP/ZVTeNbK462982mJ7bf53Vi0u0R7ucoYNEFhM13VSEMDJX5DSAdDQXTghNs4mb1huHy+ZaoOSOtppSR3cfbo4+EnepQWgelzVvYoH7VyX3+IdG+2a9idZq1r6oUh9tqDHr8MAdOMyS6kTa6Pv6CAQqntrdmgs9iNWfluQVmkBKMAQeJerIn40fYt9Nn+b3dW/ifVtUcPi1T7uxyFd3wXl6XqhDpQGgBKHe3iMoOV+jVPPjlmnH2pz7Q7l2aRWpULhJ3V1cRlXSghA7/o41RIF7f7WtZOdn9TEYgTUi+pTjCClBaCUiVGgguD5nC277Kn5K+zMJnXsmhOaW2V9VxT8VDQrCwAlDmU9pHZ5feka+3TtFru3Q4oNaFTX4j2wJvECQlkAKHesGKWbqh/WHpm70EZu2WaVExPt7XfesQsvvNBNhpioRAyA6vp8/enn7Nr77wz1lWImTQVU83/6K8YBrjGe28aPHm0PP/Sw7dyx0y478zx78p9/V2eVeei4BV3U/9OWCyofSQv8GAAoZQDkAUABigCWMzTXAIB26NDBVbc4KBNJm/i0wu/7XKv8HQ7k+JsX17A/N385iUcIj8ff1JE4nJ9/7ubj8L1Pz6eflpZmzz77rP3rX/+yK8Vl/vCHP1gT/Xjo0yAur/C45OcDx3y+Pm1/jO/98fzl9d+PGjXK/WgGiH3ggQfstttu89ELjcsJPm3K5dP2dVq0aJH9Uazpq6++sp///OfuB7rKlSsflW5Z63Q4kQI+kL+HedgiHGYX1j7E4UU9vM1JOvyzr5c/l+MF2bqg732+pFdQHJ82x8LzJC1/rLB8OZ9j5EHw7eD+yPsHOxMKSz/8eF4Ul6bPe9iwYXbvvfe6H1EeffRRu+yyy9zx/HXxcUvy/oMB0D8+9ZSlaAC6ShS3jlRj2ajGonBH5j7P3X6OaHzqhk12plRmleLji/3FuyTGK+wc8szV5Ga2lJEV9RDcvW27YlVqhaVVku95yI5RB9wpwDt53jxrd0ILaynQmymbHgE8JUmp5OdQR561lwlirZCi7pQePa2KHopRKEWjHV3JlF+WlGVTFyy0SoIB/Tp30t/oJ6L7JJepPKbMnWspsmlK0ybGr3fRzLOCBqAt27bZ8jVrrXvnjpYYXylqdnV9R/lNHT7CPvz73yxOatMul15qbU8/zXKkZKEshQb3EF1yAKrxUZei1EF6ENm5foMtHDlcsGW99br8CqcAzTp4sOj88jpBWRSgwKN1s2bb1NdetQoZmXZO9xPt/vOvddeHG2Cj0IVIEsizavpk9wNP21MGWfbBjNCFU6hRy3lA4wDKxCXjxli9Fq2tSYe2lpMhZVyRULnseVJH+shWqevXzJppnc44yxKqVZGKV+OAyhKVoI4UWyneln33vWWmZ1q7wQOjOr4yWUTtTv9cMm6iNWjb0hq2PiG6diVPQaKtK9dY2sKF1n7wIIuvUjkEs6NkVuAQeS7/fqplHjho7U4bQOvqxYUbjRCCg5/O+M6eHvaG1apUxX7X/WzrWbe5ZTn1Z/EVLQ0AZayrJHC+YOt6+3jpNMuWPPJnXU+15tXrWnp2ycb00gBQf192CvuVc+3b1EXWuk4Tu6XTAOWto25APNauANC/SAE6WgC0Tf1Y+/buThYvGO7Sc+1xbBy+Ib3SAFAHP4moIX7csp323swt1rBavD10enOrVknAtQi1qcuPf9REJQWg9CIecoGfe9Kz7a3pm23G2r12bofadonUo4UpP8mG4OJjsxIC0DsFQKvrXvPPXt3stEYNlH7RP1jweF4aAEp5PPycu3WXvbEs1bZLbT+kextrVTOkYK7ISUWE0gLQw/BTaX68aqO9syJVML2q/aFbW6ssBSltGlNEnqUFoB5+rt53wJ5etNRGbN5mGWpDlJ8oa5o3b+7alLE+YgBUP46+8dw/7Cd33hrqL0U9gxRh2//FQ4wBfkI/bvQo+81vfmPzFi5icLArL7zE3h764f+iWYI6/wAW+DEAUNSEKEC/++479zzK9YESEADauXNnZ5XyAJSymnXOnDm2f/9+q1evnqWkpNhuiYjmae6Oug3VI2Vr166du5bJA0XhkiVLbOnSpZapFYmASVSFxCf4Z20PuQBQGzZssPnz59s2zSUZE+rWrWsdtdKuWbNmLg62IB7lWK952KxZs+z111+3qVrNd4lW1t1yyy1Wv359lxfQkPOxFWVdvny5rVu3zvbt2+fKi8qxdevW1lhCKB98mcLHJARwi7WycY3mC5SVulNXVP/vvvuu/fa3v3XlYyUBSl0PxUgLG6xcudIpK4Gk1JH6k29SUpIrny8jx7HlpEmTHNDl3nT99dfbT37yEwfQsAF18edv1+pAYOnGjRvtoJ7zaYNGjRpZ27ZtnYIzf53834W979DqRBSglD85OdmlQR18+/CZ8tEPsGeVKlWcIrlNmzaWoWcIYDTq1YZiY9iI87H16tWrXXv5NIlLufme0KKFVql27WqJYjEE4hE8mKTOlI2+Rh4oQWlb8m2vlZ8eXPp34mIP2pp+xP0e21F2+gnHiEu/SpB4ivxoY5SvtDF9i+99+oBgQnj62Mi3w86dO23BggUuP9JCrUv/IB/UyfyY0bdvX3taK8h79ep1OJ5LtAz//GAAlCXwXVSBIX99zprIqA4q5TVWGepRYBT/HMhy96/0S9CcZcvtvisus6pq8FyWdRUYq3xf+jzpcJ9p8I3XRXph//7uwbR8KRccO5QfADTG1m/bau+MHGWn9uxh/dSZDwpgAUYjHciTVOmgkxYusAlz5tmtF5xntbVEM1rgw+WpTFmO/sG4cZYYV8muOf1ULYkXAI1CHbGZb8t0DUjvjRhuPWTT3u3aS7GSGZU8fX4VBVtWSGk2ce4cu0TLyqsJfETDrqH8QvD80/fesyf1sAwA7XzxRdbujDOLWYqeZyDZviQKUN07ZVAPP9fbwjFjrJIG6Yw9u+2EfidaE93MowFAQwOrlmgv1lLib8fbTj1AWHqGXXnOBfbM/b/NuwlGC9qrw8o+0z7+SOAqy06+8RbL3L8vKn2H/pp3VdpB5fHdy69aSp8+1v60UwREBZajMtqFrhGA9poZs2z2Z1/Zab+406rVra2+UzKgFCp36f4FBMXJjcnkN962A1IlDbztJtk3espaum5MTEWpXHfbt/9621oN6metT+odWgIfTbvqoXD1tNn6oWCcDfz5jValdk3n/iF6bSkgKfXVpDc+svQde+yUe250fZUl2pG/i6BiU34xcfbWZx/afU8PsVrxle23AqC96yULgNKexedaUgAK3KqkNpy/dZ2NXbfIqsYn2k4tnb+ybW9rJgCa5fpP8fmVFIA6WKlrP0cD38g1c2z1rm0CvFXdUvgr2vd1zx+F9fqjAGi9WBt/VyerJGjIDamoEjLWlRSAYnvGZJSfoxbttMmrd1v1hIoCwYfsFwOaWHUAaDEtwHEKVBIAyrk86MboB+G9GYKfMzbbgYwcAekYp/y8pIsmcmqkIutHGhS6lAD0Hz272JmNGzELoMSFhtICUNdDVZb52/fYO8vTrFmVBFuzP91+2qa5tatZjQoXWR8KUhoA6mwoA/Hk+snqDTZ+43arlxBv6XLL8Lsura1KbGilSJE2dAdLtgTew8+1gp9/FPz8RvAzS3UCIPxBAKGjBAx+EskzWKQAaLzGvTdfeNmu/NnNoT4TANBC+2z4Aa5/rjHaYuyo0faQXBDMmT/PubjoqyWtT0l0csqgQW7SGK1n5vDyBJ//ty3wQwNQrA9MwVUHoAnowryc5d2oAVNSUlwDMYYdz0AZ+osJAJ6uvvpqB4dQXQJrWfUHDEOdCoAERAI+AZMjRoxwUBNYCPg788wz7dZbb3XxufZ9AGx99tln9vXXX7u4QDJCzZo1HTQlz/POO89BPsaByZMnux+zZs+e7eAYAAtXBUDNc8891y01BoQCs77//nv78MMPnT2BpnAboFbt2rUdsOWHsYsuusjl5cvDO+UDsP7nP/9x9QTOMlYB+KgjL1SaLL8fOHCgU21269bNnUN8gN1bb73lgCYwDkhIe9YQcwCAYouLL77YATrsi5oUNSvAdKtWjHI+ABioiXLwvvvuc/XH3uPEE6jTXImcgHzEp07UGbB3qQRB4fYqauz0Y/CXX35pf/3rX10aP/vZz+zUU089XBcg66effmooGgGFHhICvK+77jrXNygP9kCJe8cdd7j7LO4c/v73v7uy3Xnnne47lvZznVFuoC0AmlUZP/3pT11dve0pF3CRPkS+XBe4piAAKAHIp512ml1zzTWuP7kD+od4AOuXX37ZAVMgMkv5n3/+edcmHKftANfVqlVzbgxwewEc9YCV/go4RXkNgAa0ErAj8XkBYolD/6A+2IjrkvoQ56yzzrL/+7//s3/84x+unQGgHnqX5/r9QQFoZ/nGfPTPz1pjAGh2FKASYwIPjIKd30yfYXOXr7BfXHpxHgAt5mnbNVEZ/snLM1vLTr+YOMkB0AtOOtH5AStDasVHUX5kCejcoIvgvTHjbHD3btZHF1M6/sn0fcRDXh2ZiE9ZtNgmzZtvN597jtWRD1AmrlHJ01Wign79yrKPvv3WEnRRXX3qYEOdSRtHL/DLU4Z9oAG1u2zaQ78IZUTTrqpIRU3UV+gXFtS8F+qBtYZulFGxa1jf+eKDD+wpPTCHAOjF1k43lOJ8eYZmyMUDUI1vXIRWUX5bd23YaItGj7bEmjXsBP2Ss1SfG7XvYEmC9qjOilScukYu2RJ4BlWNrFIbxdqGJYsFkqZbzUYNbb0G132paXbFWefbU/fJR5l+OAgt84xwD8q7RuicMz8Z6pYUn3TDjZahhwjUhNEM6ZqwTvj3f2TTXvLL2t8ydfOPxjDg2l8VcT5rpa6d+/k3NvieO6yafMoB7KNyXYaa1eITKtmUN9+1g/IBOuCn1+vhomi4UWZ7Kz/XWroZp+/ea9+/+q6dMKCPtT6xV3TtqnxRLa+ZPkc/Fnxnp9yW51sVdwbR6D70V5dnRZv65id2UAD05LuuC43lXEuRzlNJkiVj3TufD7X7//y4A6CPCoD2ijAA1cItLYWOF/xMtZFr5zv/nc2q1bGvV821S1v3tOQa9eQ/1OGsYrtJSQAo+clTkqvgiDXzbPmujXZOi662K/2Ardi5ya5s18/l48bFAnI8BoBKAZogUFhcMzDmFQdAsbmDiPoA/By7dKd9t2K3nd+xjnxX5ujzLvvVoGaCoSF3NkU1O2nRL4oDoC5PwAzwU8rPdwQ/9yqvK3vUtxnyO5qtLn2VPgNAiwqHy14CAPqB8rj7kzSnAH1JAPSMCAJQysFowzg+Z+tue3dlmvWuX9P61q9t/1y8xvnV7CQ/yPzwXpT9qGtJAShuCsgX+PnxqvU2btN2u/aEJnZQ48FXaZvtqR7tQkvudVJReZZEAerr55a9617y1KLl9tXmLZap+gA/UWGgymDiwbOeh26RBKBvCYBeEQBQukiJAn0NFx60yViJIB793W9txqw5+i7HKWaefOJxO7n/AOd6KHrP5yUqanDS/4gFfkgA6k2MP2JgCopArg3ukYAaQBjgh3C8rgfyBq4xTqIsBO70FAMBTPEdYyrgDVAIPAIYAd7GSCwC/EINh/ITZSFAF0j5i1/84ihfiMAqlHIANhSDADzSJd/p06c7RShwFf+JwDUCKkkAFwAKuAiYRUkIAEWFCYil7EDVv/zlLw6IAS5R4AE+gYiUBxXiCSecYHfffbfddNNNTtVJPCDpRO3ZQNxvNXcHLOIjGpUi6kWUjgMGDHCQEmgLhOPHGs4jPnXnb+ICPFG+0n4oQgGjAGLKCjzEHpwD6MMOgD7UisBPykaagFJAHqD3448/dvCXsqNspFz0D4AidQLUYkOU9IBTHwrqM5SVQF8D1A0ZMsRO1j4l3pcqxwGy/9Y+FORL38QPLe1KPrQ7YJs4tCPnAmoBoLQfUBQfmPQBzqHd6Nu0J3VGlUuZaTvi0QYeDpI+APmNN95wal/yPOmkkw63ATam7wF7WWbesmXLw/d1+h/5ApwHiUdwXaMsBoRyDd1www0OuHIeq0JoE9rjxBNPdPamL5M+7UX6v/rVr1wZsQcv7EB70T+A0LStV3fSfvQfVJ/UAT+xAGV8xQJ8CQW1hTtQgn9+cAD62zwAmp2VSU1KUOTSn4KRAaDz1EF+ceklWqotBaiATDRDtgDAV5MnWWzFWHMAVGWIXvAK0G32/phxNsgD0MwoAdC8itDxpmoAmzR/gd2sgbK22wQJIBmddgS4ZqiffOwAaLw2XhIAjaLyi2qS50EBpA8dAG0rANpOKlQtY45SHcmTjXlWpqYJLM+ziwYNtOqVq2gTpGjZlWUQMfbF+x/Y0w9FHoC6bg/8FLDeoYFwwcgRVr1+PWsz4BSLq5RgMzWoN9FmPUk9IgdAud4dzJEvyjT1zTUaNJspjzrNmttE3RT3yWXDFWddYE/dG9qkgR9IIt2c4Vf7zE8+kXIvy066/iYpQKMLQMnXAdBXX88DoAOkVIwOAPV1BICumznb5nwBAL1dALSWfLlGB4CSJ+0VrxvvlLfyAOgt1+u7KAFQLkhlWkHQ5eCuffb9a+9aSwHQVgKgUbWr8qyoJa1rps91AHTArddZtdpsLhUdAOraUtdNRanIpr41zAHQ/ncKgALrZe8iqQo2KmUgP65THqre+UwA9NknogBA0WGa1JOxNm/LWsHPedalrnwlNmtrqXu22afLZ9nlbXtZUvXIAVCUlbGCukChr9fMtnW7t9npSVrOVqexTVy/zFbv3mpXte0XgpCF2CyaABT4yZPPIfHZEYt22Pjlu9zmQz1PqG4Tl+22cQKivzk1cgAU+2MLlJ8HsnLt9SkbtDIl1y7vXt8a16lkn8zYqh+hzK7U35EAoG5DJ22u9Nnsrfbzj1Ktqtr+nxEGoA6Vq9/O27bT3pLys0fdGnZhSiM7qNUof5q/0m44oal11LUaKQB6BH7G2IerUm1E2lb7iTYvOqVJA/t+/Vb7PG2T/UkANFE25tZX1NNXSQAo9WPilKp71ZB5S2z01m2WqYTP1TMevvuZvHPcT64CAFrIhXycvmYc9W0wXpNQt+xdE0c2JO0tSPGsJpZ9pHrD73p5JovHqTpBNv8lFvgxAFB/beQ3KWPX8bwW3JxEhWApL+pAVJjAIzaTA2YB/bwy7j2txgMksdQdwAisuuqqqxwEAs4BuTjOsn7g0zPPPOPOA14C3gBsgD4gH4pMgBL5s3z+n//8p32i+QhqPyAScBQQCAB88803HQgFNgHBGOdRjQIP8aE6REAP8DVQCk02KQK8ATGpE9ALFes333xj52sPCZScKBrJF2UpfjiHDx/uwNY999zjQCPAjWXSKHQBtj4AUHFbwLMh+VE/VIvASeL20FwR+IZqEEiI4hA4SHlYOj9YXIBl3sCzV1991R1DIcq4CHTG5tjxiy++cHASiIhq8sYbb3Sqwni5SAQeo4ylTsC7cChLOQvqO9SV16pVq9xmSygWL7/8cld+oCUADyjLRn+0D4AShS3loQ1QrWIL2oIAhKQ+/OjIceJhV2wOYOyjFX70C86jzPQLFKKUl36BzQGjAGrcC6CaxGYA4JtvvtkpoLExCtkPJICibATszyZDKDc5//3337eHH37YfaY/0p/oW6g6sQNKTJSslBUYDSRFYQ04Rs1M/qhZKT+wE0h91113ufYlP8A2Pj2BnyijOc6SeWxJG2IT+h+huhgTcJfyEQpqB3eghP/8eACoFKBFP7qVsEb5TuNhEEN+/V8NQI9VgPbW4BNNUIdd6XxTfiAAmqgL/spB/60AtKIAqPyXOAA6SACUXeCjB0BRQUZLAcokkJ3ld8nnJ/AzsUZ166Cbb6I26WJH9NkfD40oAOVaD8HPONuweJGtmDzFmkhy36JXb20os8MmaBDeJ9t6AOp2gRfgiTQAZRhi8k+Y+ckwAdBMO+kGAdB90QWg5HdQqp0JxwGAkhd15Ca69jgBUJen2hh4fnwBaIwdzFOARhuAhuoIAD2iAI02AD2cp5ZaHw8ASn6AOK6/kAI00gA0D37qB8j5W9Psm9WzrVO9ZjaoWUcHRJdqM6IvV8yOKAB1S/o1kPDfN1KXLpPy86zkLta+bmOpHHNt6oaVtmbPDwdAPfxEnDpGoPNbqT3Z7b1vSg2Bbj2ILtvlXr+OEABlbHBgRmBun5a9vzFlkx0Q/Ly6V31rWivBuQcYOisyANSpWpVfDrA+PsbenLTRfvXZBqupa4gl8JFQgFIfp/xUffD5+cHK9da5TnW7MLmRVdGPFZu1/P2v2s39+ggCUIClA9bKfOiajTZ8/Ra7uoXgZ8O6GndjbLTUn19v2GLPdI8MAA3BTy1n1z3kaSk/v9y4SbvUm5uoMflikslzn4efOnQYvgUKUKxxfAPPO+Hw84HfPHBk2btAxtNSTvWTEod7NO1W3gnj8a1dkNv/zxYIAOiR1nPzEv2Jr0mWD+ODFJAFjGLDH5ZxAwQJH330kdsMiPEUIAR8QiEJ5CIA/YBZgD9AF+pIgB7xgJQoEFkCDcgCWDE+ECgDkI1zAGqkS3y+B56yZJyl9kA1yofKk/GCJfRAVY4DplADArn8WMLYgroPUAW4BOQCV4GsqDuBroA5FJjEBcr6uqBsRDnI+ShQgWmASgArABhYS5rY5te//rVdccUVh8GZzx+gDECjnqQPrCRd4BkbOY3WKkPsQR6oWwl+d3jKDDB9UKsfUWNiC9LlBUQFNLNzPEuwAbFAPc4Jv/+5BPUP+XMMlSI2pj6oFSkb56P6BBJSNgAhmzwBmDlGXJTAAFvaEwB7+umnu88oXlGx/vnPf3a2BGpiB5SUQEjsT6BfUFaUntiAz8BrQLkHjABZ6pqcnHy4DuQNHPdxgbLUFYBNmQCXqFixCbbCxiiXfX8lX/oGkBVVKXVEwUnw9gQyY0uUxrhIoC6UHViM8pN6Ewe70dd92vSBzz//3C2xJx+APXXhuimsHVzGJfwnAKAlNFRpT8vOPp4K0ACAlrZ9Sno+k9njrwD97wCgDFCxWvbOztlLdJOrLB+GbQcOssSq2u1dNwFU33O0PLxxp8gpQEODohyAC36unDrFmpK2biBA2P1a1jDxXy9LARoA0JL2/+LOAwoEALQ4K5X+uC6dAIAWqWUL2bQwH6DAyATBz7lSfuLzs702H+rfrJ1zSYNtV+3abF9EEICCW3FDkysANxyfn1J6ovxsU6eR+06HflAAij1gg4ekjhy7eIdb9n5mu1put/dYfY/KcLyA6LdLd1kkACi2cMp6KadZWv/W9E22Y3+2XdurgTWrraWHOSqP8hwqpSa2Ka8CFPDpHraV32Qtq398+FqbnppltQRAX4wAAJWJDsPPBdt22X+WrpOrhpoOfqIyxb5btSHbXxYAQJtERAFKniH1Jz4/19soqT0vB342rmvS8rljY9K22FcRAqDAXb/s/UnBz6+17B2fn+dIgfKEJpJM/gh+wuX+0D9MoJgcBQDUW+T4vNPfve3HaZLPxHT2XHx+atm71EFAkgB+Hp+2CHI51gI/BgB6bKl+mG+4VgmAJuAisAiIhO9E4JqHbiju3tAyZeAkClGUboBM1Hju/qZxdubMmQ5IAbZYHg00ApABsFCPslQbCJWcHIJcPu/w/FlqjgoPGEY+tBWQC9UjaZK/X2KM/0zgEy+UjIBC4oSnyzkoCIlHvUjrlFNOsfHjxztgtVAbeQIhH3nkEQdrfVzeSRfgRr1RNVIflv9jC+rFMnmgH/kCDH1c6oPdgKTAQNSG2NMvVce3J2Mivi5Z8g9UBTYSB7+btAWqTOwEtAW6haeNMhI/ntgVVSvvgGqfr/sQ9o+PC3DFriyjB9piT5anMx6jpgQA82MiQJg4lIl3XrQLQBwwiO9L7MKyeJbHA3CBvQOlwCU+tgoP2Ji+hdL2Frkt4HzANKpggCMglXbx8Bo7EMgXZSb+N4GL2ILzALAodD145f6PPfH5yTMA8WmjoUOHujJjf+A1rgh8f/Xl4z4FoKcdUKyiTkVpjAqXNAHyqHt5eTju46Igpk9gG8qETaiLt50/ryzvAQAti9VKECcAoCUwUilPAUb6JfCBArSUxiv09JD7hEgrQDUfFHSMtR36ZXGJbkQJ1atZOzmCrlxdG2XJpwfL7rPlSzVSAJTBUCNiyOcn8FPLAJq062DJ+lXJD/QHdu44Zgl8oAAttGOU6ACPdQEALZGpSnUS3TlQgIYe0Ioy3NEAFK2agIwGn8oV47TsXcuF182zDnWb2MCmHeSORpsgCA7E6oFzBQB0eWQUoOQZAn5aVi74uXz3Zik/u1qb2oKfh+QRVI3JODNlPQrQLcd1CXyuNjWiLxFy8+Any97PlvKzj5Sf+sqBShlFy+GlCo0QACVTfH7ul/LzTfnjZMOjy7vVd/CT3d4JOco7EgCUDaKy5BqioiozRfDziVFpNiM1U0qLXKuhieNLPTuXSwFKaZ3yU204V/DznRVp1l3Kzwuk/KymSRPtyz1mS3pGxABoCHyqbZT3UG14NFYbHl2S1NAGNq6HwFXgSwdUHhSgkQCgLJfGTUHq/jzl56aQz098wDH5YMJBHf1LuR8OHsIFAPSwSaL+gecdb3eWvT/80MM2c658fqod+2liifLpZKnH/ETVPwNFvWBBBoEF8iwQANAjXYFrlWsWv43ASdSBLIEGUqHS5BjXKNDsueeec4o61J+Arn79+rnjHpSxzBxohEoQ4ITKEDDGd/hbBAACqXyavhSkj/KR5eLkDyQDSAIXSZPPqD1JE3UigTh+rGFsQV3K5keoI4FmLH9HJQjgQ8kJrGI5OZCqadOmTlFKfVNSUhxcAyQSGJewCYEyAxcBddxviAuEI1+fN8ASFSFQ0ufL0mqUqyyhBtyyNB57suEQfiOBjYBIlosD9lAeepuEp0063LuoO/XhRTugIKVOwEiWfKNyBMASChpPSRMgiAITiEn9yRfgCejjM3kAtVnm7WGstzHxAcZAXJaSA6i9KwCgJu2CrVCPcg4Q2peDuGyiRRsClHFhwFJxYDn3b3yw0t/4zDJygu9PfKZt6RfYC+BKvpQbv7HEAeqiKqVtUJX6ew8Amf6KupNnBPII9x9K2j6QFgpjltDTJ2ivF1980QFWYC7wFr+h1MX3Dz4Ddrmf4YMWBStAFnUyx6hDeUIAQMtjvSLiBgC0COOU8VAAQIsHAqU3baQBaAPLyciyipXk8zM1zWbq16H6+qWrlW7mibrR5uoGoduH/rOIAdBcTXQ1kLk8U+fN14ZHU61pl66W1LWru0FwnMndfgDoy0f7AA0AaOl7THgMJugBAA23SGQ+qzsHANSNEkXbMxyAZsjPLmMLPj/nbFljo1bPs271U+zEpq2123isW4bOuOM2mdu1KSIAdE9WuoCUliCpwb5cNdvWyufnmSmdrXWtxhI5hiY9YCx+8AktgT++ADQnS5MI1Rnl58iFO2zcsp12cee61iupusXlTW7ccSknIwFAOzaRby4pPmPjtGmYfH7+e+IG5/vz6h5a9i7lJ/DTPbTLXtkRAKAPDG4uVa8SUn7TpGB9bGSqzUjLlMsY5aN619CPcOXZBElNmKf8xOfnLntzWarz+XmxfH6Gdl2X9TCgbBkpAApQZen7IaX5vmDrSPn8vL5VU+vfCPgZys+1mfpUJABopzo1VAFz8HPI/CU2Zut2y9DkFOXn05rwoHpholHYZMNPhgIA6swY9X9wK+Sh+3hNTH+tZe/zF4Z8fvaUn7znNBllp2t8fhL8JDnqBQsyCCwQZoEAgB4xBrCGFxAHUMnSXoAWu7h7EMVxQCIgCBiFkg7wA8DjGNcxYO+dd95xAAx/loAqFH34qgRUAUVR4vHKH4gPoPMbQgE5Aawo7vBXCTxjCTppAiJ9nqSDL07KhBIR6AX0RF0IOOM80kUFSgCCsYwbaAmsYgk1S5b5LiUlxZ1DnT0U5r6BOhIfpL7OQDgC/jDx/wnAA3aSL3X0+ZIGtqQsgFdAKj5TAY1+IyJAMjYFsnE+eXM+cBD1InUDrqJC5HtfLuoEbAUYer+kvq0KGlOxA2CY5f7khwsA6kV5WGoP9OMz9mWZOeczdyLwmQBwBUJSFt6xJQHb0G+Aj8BPQCCBchCXMqOEpU/R9ihx2eQK1STxqBfHUOESqAfB50vboUr2fQCQjN9UwDjxKA/qTaCsz5O42JD6AGjpR9jKL193GYT9A1im7QCf9FWWwNO/WeIOYEYV6hW+4f0D/7Kcz48HqHipPwpTQkHtEJZlsR8DAFqsicp2QgBAy2a3omIFAJQpXaRDhAFo3s1694aNNn+kNjzSjaylnHxX0Y6Fudok4jDT0HgfKQUoy+krxrLb+xJbOWmCNW7f0VrkLQ/gGCFGkGL/zu0BAI1w9+G2HQDQCBtVyfE8FChAix/vJmxYaju1u/qlrXpahvwkAzrZ7f2r1XOsc73mdlqzDvrxA7WB0/Bh2YgB0N5NWgnyhTYaHK78UJWekdRVitPGWjrMxMD3ix8GgF7bu6HlSAHqfX6OlfLzXHx+nlDD4hxh0zE9QDvgFjEAqomXTL03U8rP6Zttz8Fs+wnL3uXz08NPWpWH5/IC0K8WbrffCIAmVBJcXsOy93U2My3LKiWENglAuVFeAOr2HNOPZ/j8fF8+PztJ+XmxlJ8sez8kOlpBJsSU3NgiA0Cb4x1AvfSQDVu7STu8C5inNLZBjes75SedijydQrScAPS5BSvtKi2p716/lq3Zu8+e0bL3LzZttmzlwYZHTI47aNkbkww/YfI9OvydyRfnBAA03CrR+ewnu9h73GjtzvvgAzZbE0Q2/2KjIybc+GHjeYhQ3glidGoRpPq/YIEAgIZa2UMmABCgEmCEwpF3lnpz3F+nKBkBZagPUQmytDt8OTGADR+igD42TwK0AS3xo4gSjyXqLEEHggEJfbrk4ccO3gFVQE4UmcBC4jJ2AL0Ald7XJTX4/vvvnfoRAEV6KYKYqPwAswA5YCVjP4CUOnr1YTjMBfRSZvyeEkjHg0Y2vwGEkQ9LoAF/QDTA1wsvvOAgHiCSXdr5MQ71HxsHsZEQZQeQohK8RYpWyo4/VMApakV8lwICsY8HycA+wCCKTuAnGyoBJrEjafJClcvSe1SktTR3BSIC6XzZ3Yewf7x9V6xY4ewIUMaXKvniSoA288vPsTMQkDj+vspn4DabEVF/ysL5g+Vzk2N8Jh4wlzoSP7ws2Af/moBPVJTYk3MoP1AT1WVh4JX0PTDmns/SdGAk/QgoSpq0eXh5fL9icyLKyyZI9BmW9fvnAW8e0vdtTTz6Pm1CX6ZMqIZpd/LhuE+beAT6BceA1P5HA773tuNzWUMAQMtquWLiBQC0GAOV4XAAQIsHAqU3a2QAKP422w86zWo3a2rbVq+xxePHWWXdiDqceYY2rEnMGxTDSqexrXwAdILt277Delx8iRI95Hx+rtKyjiYdO1ty926CHlqayANATOgXsgCAhtk+gh+5RQUANIIGzUuKe38AQIsf7yZuXGrbD+63S1r21IOT2QJteDR23UJrW7uJ2+09zi17F6DRf6EQGQDavm5TO1EAdE9muo1Zu8CW79xoZyZ1sbZ1WfYemmzoMf9wnsdTAfrapI1WReukAaC4Axi7ZGeez0/Bzxb6hV59C4jmDKa3SAHQS7vWs87Nq9nefVn27szNtuOAfH72bHCU8vOwRWSj8gLQLwVAf3tGc5u1bp89NirVpq/Lsjj5nP71r35tu6VYeF5KjFrxlezFHh3LtAT+zo4pslGMzd+2O0/5qQ2PBCOrqk8BKJ0NZb9IAdCqcRXtpjbNNeGpoGXvaTZ6/Ta7TErTgU3qO7Uuqxx8nuUFoJsOarn+/BV2S+skqxxf0f6wcIkN36zd3gXSzpZPuj9oAtSxgA2P8jr0UW9+whMA0KPMEvE//ESSCeL4MWPtAcHPOYIHwM++gp9/1MT4JEER7sfhE8mIFyRIMLBACSwQANCQkbhuebGsGiAGeDvvvPMcZPI7pQNzOIfd0IFt/A30Ydkx33soxI96gD0UgfiIBFgBOoGLKC0BmCjkwkEUcUmDNL1fT/4GrAJKAZUAM2DZtdde6wAbEJBzWE6NipP88MEJyERdDvgEHJIG6aKkBIQBJsmfTXoAW0AzVIQs26bc5O/rwzsvlu+zZJzP1J2NmViqT31QUwI+gY8oXYGtAE7SIV+/g7j384lCkcBya1SMAOU777zTQWUUiuSBihVwPHLkSAcUqRObOwE9AbSch6r0DfkkpS7dunVzdsanKfG9ajPUuqF/PeBjB3YANnXH9yfxUcKyRBwb0z6ATDbz8WO0j0udAaWc631d+v6BWpdNr66++mrXPkBgHygTbgnoVwBj1LYAbdoC5an364k9UKWG14HP5A+4BayiLr700ktdGdkwivRIl53oaT+/vB3bU/4RI0Y4P6cAVOxM/yFN318po88vvO3pd9iKPg6sRl2KawBvEx+PdqBfAj5RjA6REpSy+DS9Dcr6HgDQslqumHgBAC3GQGU4HABQP30sg/EKjRIZAAp87KSJ0yEtN5/71ZdWuWYta6dfrxKqVpOPOa0jzF90TcDLC0D36xekXloKwLL3VdO04VH7TpbUs4e7Mbpl8YKfBAbLAIAW2gHKdQCOEgDQcpmwwMjqsgEAPWbQONZUDoAe2G/Xtj/RpmmX9ZHr5lvnus3tlKbt1C9jHBw4Aj+JX34A+v6iKda5QTPr3bClfbxsiq1xy967Wuva+CXyy97DBzweCI/fEvjXJm2wapUq2lV9G9nIedtswsrddm6HOtY7WfCTYqlvuQfN0MeIANCnR62zq3vWtxPqJhoA9qCkk5d1q3eM8pMWIDAmlweATpfic5SW8/dvUcOeHbvepq7Lluqtot0mf2hMol6V0uZ3UhfU0kTpxe6lA6Bj1222hbv32j2dW8qVwi57d2WaNjyqYecmNbRq+mEtHH66urimLr8CtGZ8rF3bKsk+WiWIv3Gr4GdjG6hl71rd78Cnh5/kWV4Amrb/oL20eI2d3LCWDdcmEZ9u2OzgJ8rPIZoo+QkaE53iQgBAi7NQ+Y9zvQA68TU8XsrPRzRxnJHn85MNj5jQe5+fJWmz8pcoSCGwQNEWCABoyD5cu7zYdMeDRoAWIMz7Y+RMYA+KRRR7jL8Aq4EDB+bNX0KAFJvyPT48WZYN3PKb9QALUZSSLuCMwFjA+EzYvHmzW2K9RhvboBJHTYjSEmUnSjyUmKTpFZjE8f5G2b2eY0AuwBjPD9SJtIFvbBbEbu+oUqkj6ftd2Fn2D2SkXN5vpS8TUNhDNnYBB+hSZ19P77sSUAagDM+XpfzYi7EvJSXkYxT4R2C3e54DAHPhqkHKDFDjGBCOY0Bm7ICt/NJ6v1kVO7ejkgUOoj4lfkHjq7cFMBf7kQ7vLGHHxyi+Lqkb6kze8euKDZg7cS5pjpf/T8qFmtUvCUd9Stq0K7vLA1Vpf8qLLUiD47Qd37PxE8vcyYPjQFP6E/AQMMvSewLxfZlJ46uvvnLlxcUAbUw5vGsClL23SF2LnWl7AnEJLNkHXtMHUf6i5PT24Rz/AjoDS3HbgI/W5ORk1+/ov/QT4Cf24vzwetFXgfuAXOAxMN77h/X5uIKU8Z8AgJbRcMVFCwBocRYq/fEAgIZPqktvv4JjlB+Ablm5QgBymtSXHS1t/jxL1EZHbQcNlAK0ulNhakQ7NmuNn2UFoDnyzbJi4gTbv2unNW7X3m141EwPDM27dnNZMaAziPrAoBoAUG+NyL5zGwwAaGRtSmo8XwQK0CPXcGEW/n79UtsrP5xtazWyz1bM0HLeZDupaVu32zvA4Gj46SxbriXw2YfkLF4AtGO9ZrYjY58t2JZq57To5vLPzA252zi2rMcRgCrzVydvsNqJcVa/Wpx9LZXkRZ3rWR/BT+/zk7HRW5brt7wK0H3a6OjZcWl2Qac6NmPtXtu+P8uu0bL3pvmWvYfbhTG5rAA0V26zlm4+YI9/s8Z2Hci12RuyteFSrJYM3qMH6Xud8oFJ2JN61UoQAO1WOgA6UgB0vQBh7wY17Y0lgp/1azjlZxVNUvLDT+pUbgWoEvjHIpbrV7Qq8ln6ReoWu6FVM+vfsO5hn5/h8JM8ywxAiavXdvnpfnT2Elt+YK+tPHjA0nWt4PPzGU02mOjRR0o6wfD320ABSstEPnCteBt/N26s3XfvfbZg8WL5uc2xnlrm+FepffBvx33YXdthzz6RL02QYmCBklkgAKAhO3H98mK5MMAHuwArUUV6EMWZAErUdqj32LAHxR1KzvAQ7kMUYARYZPkzIBDA1aJFC6c6xB8mS6oZDxgX8AEJ+AMgMa4DqoCwHPN+IlkaDswCCHIOZcOvJN+h3gOKoezENybHicuLDX4AlGzcw+ZLgE7Kzf0AeMXSbDZmoj6oOSkX8SgbwBCVJMvNUcVSPtSYLHumPiytZjMf3AEQj+Dz9WpLoN+AAQMc9APAApL90m2AG+mz3J8yAxtZnk5dgMQoVAHB1Mnbis/vvfeey59l2jfffLMDoChPCZwXHmhbAjZGNQpw9L4+USt6FSN5AoCpD74sfaBcqHBpe5S25OOXhHOM/HBtQBuwqzz9hsD33BcI2ID+AFDGbQLnUC78a/I9bUu+KGR9XYlP+rQbbcPye8AsoBNQ690x0DbATdIl+HxJ3/sARYmL+pOl82yqRVvRf2grgC59gramHficnJzsoC3PafQ/QDFxUeDSRsSjzLTDEKk+Aaz0S2wECPflcB/K8U8AQMthvKKiBgC0KOuU7VgAQI8eeMtmxfyxygNAubFrMpW6zhaOGqnNL7Kstna+a3/aqZYI/MwWECisyIpXFgBKfrny9bdav4CumTPbqkhp2lATthZalqGRObTsXe/hgYE6AKDhFoncZ2793KzWzpxtc774xgbfc7tVq4O/1yLavpzZ055xlRJsylvv2sED6TbgluulMi4MPpUzM6KrkuxofVCqsO9ffddaDuhjrU7sZVna9TlfV4tAZqEk6OcBAD36Os5v3ByhnGkbV9mk9cssUX2wTR39utyso/P5yW7vRzBfeMyyK0CBXzlqmGFLp9mGfbusSqV4KU3bu13mQz4/uRoKKnP0ASg5AzKzVMZ3pm/RcvA91qhavA1sWdP6yecnHgEdRFOHDS+hj3eoDD5ApT1w10a6nFY+PmKNZWjTo6a1Ktkl2mSpeZ3Eo3x+hrcAn7mGSwtAyS83V3lKEjlcYPeOj1K1wdIht9nLz26T8lOTMJbI8fD9Rz3Eo4IoDQBlBMmVfSZu3GEfrFpvtRNirV3NanaR9/npgHr+mpQPgDJ90TTV/r1kjU3evN2qxsfZxVKaDtZu73GsYJCd8sNPSlBWAMoWhDFKd+mufXbr9Nm2Qru+A3BZ9v647FUa5SflIHg4FwDQkD0i+S/XibfvOG149JAms0f5/JQy6cRg2XskTR6kFSELBAA0ZEiuYQLLxIGJqNpQ87FrNgCK65tzAEXcswBCt0hxB5wDJvkASAPeAfT4kQow5H1EosQDri7WDyPAU6CXV4ECjwBhgEiWOrOBDseBpaQJdCNNllXzDqykPLzY/RugxwZEAFMgmC8T/j5RLbKs/7vvvnN1odwALpStHsyiLmVJPRAT0AXkIl/SRlmJmpVl54BG6ozqEfugaAQas+ybcuEXk4C9WGIOtEO5yP3eL9GmzqgYUVwC11iuT5oD85S01Omjjz5yABTbA/aAhcxhCKg1cUPAMnSUidQ1fAMkd1K+f7ytgKXEo1zel2oHuZHhuN9NHXuhdAVwnqV7LrAPiIjCkTZiuTxtCyzFFQAQkHRTUlKsuza4wyYsjydNQCSBNFCq0reAg9jK73jv+xR2woUAoBp1rg/0BzaLYuk7Lg0o18+0igZQSz8EuNI29AH6DfliN19ngKv3SQv0ZSk7oJI4lAsfq7gyAKTjh5R+B0QHjuK2gLj0H547qLNX8LJZEu2ALenTLOdHmUo5/I8Gvv6+LmV5DwBoWaxWgjgBAC2BkUp5SgBAw6eupTReoaeXDYBqHNTkTBL+uDjbqF/p5mnZe33dUNsOGiwFaHVtvhH6Ra2IbEsNQBl0fViiX7xWz5ppHeTTpFmnzs7pf/iyd38e76FBO9gEKdwmkfpMiwQANFLWPJIOXT0AoIWPd8CwxNg4G66d3setWWiDkztY/6ZtLE5KwIKVn962ZQOgwE+Wn2bp4fs/8761Hel77fK2AuFSnuYWuOzd58d79AGog4PqM7kinS+NX29z0gS4+jWyXig/BdgYA3lgzG9Rrt+yKEBdPNkiRj8MsNHRb75cZXUTY+3n/ZtY45qVioSfziIqT2kAqIefFWK12/uq3fL5maZl75mWoPvPbZrA8GDNJIvJES/Un6UFoMBBDWb2zdqNUmSusRu18/p5SQ3k8/PYZe+c6kNZFaDOhmoQUP0fZy+1edv32u3tk2wAy95FPWmrguAn+ZYFgHr4uXbfAW14tNS+ls9Pdntn2Tvwk00M6CNMcEoTsDfxAgBaGqsVfy7XrLftmOEj7eFHHrY5C+a7iSUT+z8JNPRjwyP1WXdtqw2CEFjgx2KBAICG5h60B2DrlVdecTAOpSBLs4FMBK5xAhARWIhPxIKWEwMyUY6y3BwIBjz0y4GBfmywBExi/AayMUYwLgDyWILMMnYUeCz7xp8n51EWwCjQjOXNKMkBs8QF0LHxDEAThSkQjvgcB8wBISdM0Eo81Y18KB/wDGiFb1DqBfgDQOJvE/+RgEqWY7PEnP4BRGWcYzk7gBSARrkAkYA56sjO4NQXVSL5APVQHGJDYNhK+SlF8Uq+QDjqiYqWuEBd4gEiAX/4wGRzJeAoalqAKcpTykZ6wFhshUoSSIt9AKCoUQsLlJ8XSkrUk4BudrNH/ep3NcdGbNZEGYGOKGHbtm3r4C1AnPwAwyhBsT3poGrFLyjL+W+88Ua3DJ74tB35YQve2aEd9wPYmbrSXn6TJdqJenIsNTXVfc9yehSlpA2QRUkLOGXpPBCazaKoN8vnea6ivbEl5SI//3zAZ9oYFwrAePovyl+gPPUDcKIiBYImJyc7uMrmR97tA3GB4PR5zqFetDM2mzNnjnthF+qA+pV+ix0Ivgzuj3L8EwDQchivqKgBAC3KOmU7FgDQaDzglh6Aatxz8DNGN7ndGzZI+feFZWWkW89LL7M6yUmWdTBFhGJ2AABAAElEQVTdDc5FtrLSKI0ClMFWo6/F6IaXphv6wtEjtcN8A+tz1dVuEu42PNINoaAQGrQDAFqQbcr7HV0hAKDlteKx8enuAQAt5HoWUKwUo3Fg7zZ7fcH31rhqTbuuQ38tbS/I52d+25YegAqpaSN1oNAhG7l6gY1es8Aubt3TBia1t4xslmVxFRRc1lDupQOgB7Iz7bn5o23MxmXWpl6sjb+7kyUINNInCsoFgOmmUCriWPnF/M+UTXZq61p2fZ+GDn6GIh4LPykbJS8tAHVx5Ou5gpSYLH9/W7u9swv7nQOaWk8B10NSggKLCypryB4M5SUHoOHwc5Lg51Oj06RwzZbyM9apAu7V0i4mOu4eoQxQHpQGgLr6UDCpYOdt0+ZJC1dZkyqV7IHOraya7jfkH8NJhYSyAFAHMJUeyQ5bs9HeWJpqpzetKwDaQsveZTkpXYuyX2kAKHmgbkX5mSbF55MLl9o3WwQ/1YYsex+iyVGXvE0ZyjKxYCLDZCwAoDJyhAJ+01Gbcx2NFTx45OFHbJbb7T1HGx71sT88+YT1H3CKAwBkif2DEFjgx2SBAICG7nPclzZongQQe/31192mOizx9oHjjKGo5FBxop7zSkzO8aDL76rOeagDAUesePD3PVSaKAFRibJ0HGhEQCGJ2pNdyVmizhJzP84TF4AFEERtybM8PyTiaxL1H+VCjQl4BWICo4CbBKAZPiWBbixvBvyxDJq0gGjEBXACxvDzyTsBaIna0MNUFJlAS9R9ADIfqAPQGB+UAF7sQgDUAgeBnpQNUDpw4EC3hLpr164OXAINUUsCaYkHmGMJOApUXyZgMYCO4FWFPEeggAWM4jKAdkIhSloAa+yVf6zlO174K6XdKDc+LbEf52IHQB6AFXDLUnNAK8pONpNCmcnSfexDngBZD3NRP1JObIQSFpBJm/tAvrS771uoLwGgpOsD+WAPVKYAacpDfSkTdQKWkzZw2KftYTu2RU0KkG2q1Z3kF953yAOlL3WnragDf9OPeA7DzyptBRBmEymvHvZlwybDhw93/Yu2pM8Sl/KjBqU9/vOf/zhoSt3xH0oZOCcSIQCgkbBiAWkEALQAo5TzqwCARuMhl4fsGPtCg/JT+rUnLrGyddbA004Oh3N04zx2sFcj5ik/d6SttwXDv9bS90yLr1LVupxztlXTzTMnqxj1J/1As7KSAlAGPM6PS4i3VP1StFI3LfKoocGxuwbn4tSmoUE7AKDlvPwKjM7kmptRsAS+QPOU+Uu6fABAjx3vUGJWqhjnfG8OXTZNvj7jrK2Wvl/aqpc23skUNDo2ztGNUDoACvyKjZHCSol8sXKmrdy5WUu9c+z8lt2ta8Mk25+VITRafJ4l3QSJ+jFe/WnuSBu5YUmxANTBS5UtV7sbjVyw3b5ducstRe+vZe+XdW/gYKQG8UJLyPVbGgDqztcDdEysXEJk5trLE9fbTu32nq5Nj27t19haNUiU6xPZuBggQx1LogA9DD8FW2es2Wu/G77OZqZm6kevEPxEFcCEjeAnG6UFoCgjK2gMm7dtp727Yr1lCz62r13Vbm2T5NqiMBWmy1T/lBaAHoGfMfb+inXa7X27xUu5O0A+P69tGZpkFJdnaQCoV34CPx+bv8RGCH5myf7e52crLbkDtPmJja9XSd+ZUGH7AICW1GJFn8e1QR+mPb4VlPA+P3Hr0bFDR3vpn/+wPoKgsXkgIv8zWtGpB0cDCxwfCwQAVPcGXcsElvSickOFhwKyb9++R82tuN5RfrKZDUpAQB5LhsMDqkiO4ysU9SCqRkAWgXwYhwGFQDNUkkAsYCX3R5ZVEwd1Hc/rjBm+bABB4rAUGxDJcmOAHBDQj0WUjePANs5HxcdxVHtALaAfqk7qhmIQP5Y+faApKk2UlWyYRKA8LOmm/CgyCey2DvDyAZsAjsmX+KgoAXaoNb19KA82AcaSrwfCKEpRvgJAUUhSLkAcykTKhcIRJSbHyQO1J2mwCgK7Yjd8X5I+ZWWJtge/vnz+3deTdqGOpI1dUKP6wDk+X5SXa6T6BBRiR8qGXfCBiaIWFe0QKSoBvbQH9aNdgbikmx/+ARGpK30L22BHfw550i8oE22IrblP0ybAyZSUFJcmZfCAmfsOZaP+q1atcvCc+vvj4fcbX3fsh61In3x83ZKTk51KGfcF2I+44fEpG9cG6lnqiWqUfFA20z8oJzalP6FqxT0CITwNb+OyvAcAtCxWK0GcAICWwEilPIVpXEZWpn2sX1ESdZFcqeXWmTlu4VopUyr56eR5UBfhh/oFpXu7ttajbTvLyMzgCix5IqU8s6Im3Cs1mE3SYHKRfh2qroEwm3pGJc+SA1CNpbrThpa979SAjd/PRA1M9Vu1tvULF1g7tUdN3bSzCwCnx5hAaZUEgLoBVhmz1B7l5+ppU61hGy0d0IB+QA8EPfSLpttl/pgMjnxBGjGy6f6d223iy6/YvnVr7YqzLrCn7n3QqcZyc/lV78j5kfoUevQxm/nJMPkmzbSTbrjJMvdpuQgKnyiGg1riOOHV1y2pZy9rf+qA6PqqVD0CABr5xuRaCwDo0dcJKscEXcdzt661UesWSvlZ22rEV7Z0XVsA0JLdC0oOQIGRgCHaYuSaebZi1yYb3Ky9dgZPtfaCrn2btHIAlHtE0aFkCtAc5ZegyclK7Sr/h9nf2Iq9WwVAK0oB2rlABaiDgyrbISk/x0n5OX75Lju3fR2bv3G/VY6Pset7SxVZjCtexqiSAlDOPcRYqfFrb2ZI+blL8PPCLnXtozlb7ZJOda1T02oCoLpHFDOgMiYXB0BdudyFUMGmCX4+PnKdTU/N1oN0rHZ7/7nzeYXShLT8Az+TJl4lUYBSH5SRFfTAP2/7bsHPNOurDY/iKsTaOm2CdKeWoxcHIhW9VAAUWEqeBJSfX2nDo5+0aGqLd+2xaqrXza2bK0FKVnQoKQD18DNV94Sntez9cy17z9akg+WNKCqYNBK8/YrOteCjAQAt2C5l+Za+7O05bvQY+Wx7yGZqOSDf99USxEe1FPNUKXVor/yTybLkF8QJLBAtCwQA9Ihl3f1OijvuTUA/Dy6PnBFauYBaEwDF8fw/SDEuoNrjHZiUf8z2YwfvACk/jpAO5/Oef8zgXALlIg5/c45X4vnjpEXZOI/vfBn9OOTLxt+U3QOqguKTX7gNqBPn568zcX265Ovr4+MSh3MKshnfh9eJ8gLWKB/H/Mvbib+9nfw55Eca5OfrSdkLC5xPWQjhdQEOAza9iwFgIOf6PKkHy+NRjFIGftRlcytfP+zDub4c+fP35fRl5bzw4OvKe3gbepuHl5XvCJxLeuTt8/XHwtP25/JOOTifeHymLuH9gfj50/Bl43zKxjvB929fDuKFl9OdFIF/AgAaASMWlEQAQAuySvm+CwBocRPtstiXSX7xClCNh8x+HYhE+blk3JjQbu+DB9m+7TttxaQJgm2nOVVmQcrRY0qm9IoDoAx+Gomd2mfD4kW2cupka9KhkzXXpG2llhDs1S+cPS+9NACg+YwbANB8Binvn+qGwSZI5TXisfF51GHZ+jufD7X7/6wNawQzH+1+tvWqlyxfm6CbI+MdsC9Bas+FW1MFP+dbm9qNbWCzdjZ102rbfnCPAGhvAVAePo/EOTZHvikZAAV+cr9h2Buxeo4tE/w8J6WrfH42tHcXTRIAbWL9IghAyS9eD+er9myzlxZ9bzO3rxOoyrHWAqDfFgBAsQfDI8rPsYt3OPh5drva1rNVDXtrwkYHQK+LIADFDjycch3sS8+2N2dstt3y/XmtdnuvWyXenh6lH5W61RcArSp1fvkBqIO7wFYtS5+6eo89qWXv+PxkEvPz20PL87zykwdtH3j45lUcAKU+Hn7O3bbL3lq+zrrXrWWXnNDEpmzYbgt27rFfdEpRpX3Khb+XVAHqbKjueUj322Gr0mzUhq12aUojO7lRA3tt8WqrIlXtLa2T3D2v8NxCR0oCQEPwM8bW6Ee3Py9ebl9s3OyUn+fJj9tj8vmJ0gXbFTQxKS7/8OOuX2iCEihAw61S+s8873hbjhf8fFCbQsyeN9f15z6Cn89oaWNfLTdlIljeNit96YIYgQVKZ4EAgB5tr/DrO/ye5c/yx/nbj8v+mH/35xR2nPGDc8LHB74jFBaH83kRiOeD/+yPh6frv+Mc0uVvP3aF501a/lwf33/n0/d/5y9f/nic778Lz6OgfP15pB2ej//sj/Pu0/LfUQ5fJr7LXy53sIB/fPzwOHxmcyN8iAID2cjnFm0UFR5QorLMnaXeLBNnCTsKV5+OT9eXMzyu/1zcOf447z4d/53/m/fwkP94+LH8n/25pUnfp+Hj8jdl8H/7cvm/S9oOPt2SvAcAtCRWKsM5AQAtg9GKiRIA0KMHqGLMVcLDxQNQjZm6i4Xg5871G6T8HGGVa9WW4nOQVa5ZwzZq6cNq+RaJJABl0NNIaPgZRV26etp0a9KxgyV16+4GyOXyzbJ/5w4pQAMAmr+hAwCa3yLl/FtdMQCg5bRhAdFLCkCBYYmCn3O3rLUxqQusU53mdpI2PKqkB8rxaUttZ/q+iAJQ8kPByBA0fPVcW7V7i52e1Nna1W0on5859v6iydapXtOIKUDxMRovn6bAz1eWTLBp29ZK8a+tcTTcFwRADy9713P66CU77fsVuwz42SdF/jelznxt4garVqmiXScfoIdYOFCA7f1XDO3FKUDdOcBPAboDGTn2tuDnPr1fKuUnu70fEBD905jUiAHQcPg5edUee2pMmk1bJ3csTCDwTSaFBMpPgp+suD/0T0kAKPXx8HP+9l32npa9d65d3S5IamiVK8XZqLVbbNmevXZPx5SIAVBnQzWEph/2sXaYH71xu12e3NAGasMj3CO8tGilVY+rKAVokrvv+foU9l4cAAV+VlRfWH/goA3RsveRW7fL52eO2532D/LRxpK2SE0o/AQ0AKCFtVbx3/O84+0I/Pzto7+16Vr6R3/u06u3PfHkH9zk2CuR8k9Wi88hOCOwwPG1QABAj7a3m9Poq8KuXX+cWMWdU9hx4oanw9+Eos7neEniFHVO+LHC8go/J7xM/vuSxguPG172/PF9upxDyH+c74o6xx8rKB5xCwrhcfjMC/+Y+HblemAZPhsNsVQd9Sn3zBEjRjg/mKhu8R3KEng++3zD0ywoT74ryTnh54Wn4/MJ/y783MKO5z8/PE74sZLE9+XPHy/8+5KkEx6/JJ8DAFoSK5XhnACAlsFoxUQJAGhRU9lijFfo4aIBqG4bGl2PKD/ny+dntbr1rN3gQU4Bys7rW1avckvTIwVAAQ/K1C0BXr8Q5ecUt9N7snyCUJ4cuUFYPmmi7d+xM1gCX0C7BgC0AKOU5yv1xwCAlseABcctCQBFGYnyc/7Wdfb5qlnWo0GKnaJl6HH6lZ6lvJM2LNOO7PsjBkDJD1Uqfj2/XDlLy9G32NlSfrbWbu/ZWk+OKvPDxVOsY93IAFBgX2X5s1yxZ7u9uOhbm7U91eWREF/J0jPTjwKggEqdzv+WKx/wYxbttJFLdwhE1nO7vbPwKUsHX5u8UQA0JiIAlJYDzLDb+wEpO/81aYMdlA/Ua3s1tCZ5u70f0JL3Z0aviwgAPQw/42Js5lr5/Pwm5POzgmx09913aSODX8lP2NHL3imjD8UBUGzn4KdgKj4//2/pOutTv5ZdkNLYqggYZos6j1m3xZbu2RcxAIpC1LWZetXHUn5+nrrJbmjVTPCzvpbbqzw6+I9FqyIGQKkfGx6l5m149NWmreq7h9yGFcBP/GsxmcgPj70NS/vuwV0AQEtrudD5TPK8DcePGWP333e/LVyy2P0I0lPPPH97/nnr2bOnWxZIjGhMBMtW8iBWYIHCLRAA0MJtExz577eAh3f4IGUTIzYq4h7JBj/4WWXMx7cnr8aNG7td2NncyvtBDcb56PeRAIBGycYBAI28YQMAepwBaKaWlB5Wfsrn5+jRliCnzR1PP90S5PsztPlQjG1ds8pWaUl65ACooKwmqBs0CVg9dZo1atfeUnr2cL7aAK6HBCGW61e1/drdLvABeux1FgDQY21Srm8EKAIAWi4LFhi5KACa6ZbAyxeQxoFFW9dr2fs8a1e7SQh+6jseHvkxZOKGpREDoEAq7jEEfH4u37VRys8u1r5uY8tRfjzQ5mg8/CBCABTYFy+fpuv27bCXl0y0KVtWQa7sbO3MvX3bNps0eZK1qa9d4O/qJLVrjOoMntWQrCJ+K3+f+Pw8rU0tO1EbHgE/4aP41Xx90karGgEA6pShyhP46XZ7n7HFtu3LEvys75SfFUTueEjfLyAaCQCao/SwMcveJ2vZ+x9HSfmpDY8qVUqwm6SaYJfYgpa9014+FAVAD0lNF4KfFWzB9r1SfqZZ+5pV7eIWjd1u7wB17D9m3eaIAVDaip5Kww1bu9FGpm3RsvfGNkjKz3jVE5+qObLhP7TzfCQUoGzgRHvh8/OpRcvty81b5E5CPj+1qeETecrPSMJPqubhXQBAsUbpQjj8ZMMjfH5OnzXb2bSPdud9UhtjDNCySK/WDSbFpbNvcPYPZ4EAgP5wtg9y/vFYgDF+m57n2HF+3LhxbsMiNkwisNEVGy8NHDjQ+vTp4+AoY3wwzh+f9gsAaJTsHADQyBs2AKChyXlkLasJk5bgHbsL/BmWnZFpsfK5tnPDRls8ZlTI56eWvScKgh7e6V2DdUQAqBQOmVKsaOR3vlLWa1dC/Hw21c0hSf5QAKJ+opWriWwAQAvvBQEALdw2ZToieBEA0DJZrshIgKGCfYAmWYYAaGLFSjaPDY/WzneKy4FSfnI+oMqDykgB0HT5D62ocRAGNmLNHFu+c5OdJeVnG212xAPsIYFP8GiOVKCRAKDZSo8l/Ct3b7d/Lv7OZu5IdWPfRRddZA8++KA9/dRT9vHQj61Nwzgbf0dHq6R65wBARTrHLN5p37LsvT3L3mtYvMpFGQlZEQKg1RJitfw2tNv7Xvn6ZNn73vQcu6pnfWtWK8FigJXKiwf1/ZnlB6D4DyU/7/PzCcHP6alZ2uk61u6662775b33WmNNFqhnUcrFogCocysgODh7y075/Ey1PvVQfjayqtxb8uyXKztHCoACzeHph2SjYSs32KiNIfg5sLGUnyKi/m6uLSAiAkDpI7qZG7u9Az+/2BSCn+eff779/ve/d7u90l5F2c91olL+4+/LAQAtneHoy/RX2mPMyFH2WwF+5/NT/aafJsN/1BjQr18/qxj4/CydYYOzfxQWCADoj6IZgkL8wBZgnOceyQZB7E7Pzu68E9jdnN3n2Q2+oF3Sf+Ci/9dnHwDQKDVxAEAjb9gAgPopUyRtWwgAPeMMJyliwyN8flapXefwsneUn8zsXGk0oYoIAO3RwzKkWomNl89PwU8UpY3bdwgpP5WHn2SRb25OdgBAi+gCAQAtwjhlORQAUAdyymK6ouIUDEDPsh71ktzu6wuk/BypDY861W5qJzdr6zYJYhwIL0wkAGjT6nUEIkIAEeXnMik/z0ruam210RKKTw8XqUt5AejqPVvsyjZ9LFbQDZ+fry6dLOXnageuLrrwQhvy2GPWrFkzu/HGG9zOoA6A3t5RSliNe8p/rHZ753WOdnvvJ/gZp7FRBZRJQu+ZeouEArRavHZLFUw7ILgJ/GS39yu71ztK+Yk9uAmUG4Aqmcu61XM2mLJ6d0j5qQ2PAD+3s+FRET4/XRnC/skPQGsnVLIXunW00xrJH6psNF8bHr29PE0+P6vZxVJiVotVPYGRMiH2jSQABXJjoKGrN9jIDVvsimRt3NW4ntw36N4pmC3TOYhcbgC6frM92b2tVZW/7DT5/HxywRL7Wru9Z+haOV2rNdhUAZVJNOAnpvf35gCAYo2SBT8ppk2+Hz/eHniA3d5DPj97aNn7M888bf0HnOJ+DI40sC5ZCYOzAguUzwIBAC2f/YLY/z0WYLznxXgfeoY9Uje+I/DuPx85GnyKpgUCABol6wYANPKGDQBoaKCMrGWPBaCdpELqeO65tk3+SuZ/9WXI5+dpp1kiy96lWDg8SMMMNGiXB4DO/nioNemsnd179rLcrCxteLTQ7fberHMXt+ERefkJVqjeAQAtrv0DAFqchUp5HL4k5djB3Xvt+1fftZYD+lirE3tZVnoG3T8qAaZVUeq3NdPn2MIx39mAW6+zarVrWK78LTpyEoVcXZ7a6GbqW8Ps4I491v/O6+R2QhUUrIlGnuChoxSgcdoFvsfZdlLDljZj80r7csUc69mohZ3StJ2AIQrII8pPX/3yAtBLWveyFrXqy99etn2zao4UmZvtzJRuWm7fSEuHcxxb9HnxXj4AukIbKm22mzsOsGW7tzmfn7N3prE62i4U/MQ/I87x8Rn105/eLAD6qZbAx9nYuwRAtdv7qIU7bcyyHXZJ53rWUxseofz08JNuyAN2JADo/YObWY0qsbZfis9X5U8UCPoT7faO8tMve3f5YRB9KA8A/Xj2Vte1Llf601ftdj4/Z63PkuI/1u65+2677/77C93wiOzzh/wAtJYA6PNdO9pZzRrbN6s32ljtvN6tTg27oIWUn3I/4OEn6UQKgF6rneQ7KI9D6q8frVxvX6ZttuvzfH7Gx6i1uZxodAVUtOUFoF9u2GzP9ezoNjx6fOFSG7Flm1v2jvLzsccftw4R9vkZKvmRf/39OQCgR2xS1Kdw+Dlu1Gj7zQO/tvnydc74xm7v7AjcQytigt3ei7JicOzHboEAgP7YWygo3/G0gIeg5MlnHzz4PDyv9geC96hbIACgUTJxAEAjb9gAgDLtjHTIB0ArV7aul15mDaS+XDhyhCVUrWodzsDnZ3XBF3lQCy8CY3iEAGiSdjpdN3u2rdJOeY3btbNkAdEYqXNyszQ9BMIcDv+fAVAVfebQYVKtZtpJN9xkmfv256vP4YpF7EMAQCNmylBCAIsAgEbYqCHgdBQAja9sj/c8zypXqGhfahl6e/n8HNi0vcVrHAhf9h5ekDIDUC1x/2LFbLu8bW9rLgUosBWfn2ckdbIO2uEdv4kh+hk+9pQPgE7ZuNzStOT9pOZt7Z+LJtikraucX+MLBKqGPP6YtWvbzv24xPKoW26+yT4ZNszaNoy3b+/uaBNW7rYx2vF9cOua1r9VTYulT+aNv76EkQCg45fusodOTxIMPGTvSvm5BZ+fPeTzs27iUfCTNiD78gLQDwVAEwR3m9ZMsN9/s9ZmpGVZvNyu/PTW2+yhhx5yPj+pF7tflyTkB6C1tZvqKz27WMOERPvHglXWq15NKT8bWTWpJQGU3nakHQkA+uyClXZ9y6bWrlYNG7Y6zUas32qXJjW2wVJ+4vOTPuXhJ3mWB4Dm6t47KnWLjd60zX7WNsmeW7LCPt+42W14dIaUn/iPZLd3Qknt504u5T8BAC25wejL3l7jx8jn50MPSvk5x8HPnloF85SWvZ8if3CoPv3EuOSpB2cGFvjxWCAAoD+etghKElggsMCxFvhBAWgn/cr58DPPWKOmzSxb6q9IE3D3gK4689AxfOYMm79ipd0ldVtVQR73EHKsPcr9jc8zR4qSr6ZMdZs4nCs/PpQhGiGUaghibdi+zT4cN95Okc/EPm3b2sHMTLeUMNL5kqebOAhMTVu8xKYsWGDXn3WW1aleTX4uwhSCEczY1VMP/Jmq0yfff2+JmiRdPmigZdJvjprGRC5Tnye78X48eqx1a9PGuuuVoTJEuq9S6lBbMlmJsVWpqTZZdr3glIFWvXJiVOwayk99Rw/bX3zwof35kYctNiHBkvqdaBU0cYzX57ayceWateTzs4DrkwTKCUDnfDLUmnbpZhUTE2yploI1Rfl52OcnSwbyt2dZAWiM7df1MfGVV2yfbHv5GefZk7/4tfz+4f9NE+FjM8qfcan/Dtm3gs3+FACaZf2uvUF+Tvc56FHqxEoRIX3/fpv42puWpAlV28En5ykVjzFkKVIs/FTqGCMlVersuTbvq+E28I7brGod9Re5SYiWTfHHGKe+Of3tD+zggXQ7+cZrNb6yvUmUAtBCdTy4a49NfOMDO6G/FKD9ulumU4BGya4yLEuA186ca4vGTbD+N//EqgiqsJFLARdFRCrOPSpGec545zOnAD3p9quVlfwKcu+KcDXpN+QXK7u+8+Uw+/Vf/2i1K1W2S5t3tj0H91orKTAHCX4yNnn/mwVVsjwA9KtVc+2ilj1sxa4NWhq9Xru9d7HWypfqFpZnWRWgDO6ztNT927TltjU3w2Y4n59mF190sT3+xONO+Un9qO/evXvspptusk8FQFtJAfrb05vYtDV77AxteNQbn58aq7Ad11d4s/BdeRSgY5futMnK5+d9G9mnC7bZ7vRsu6J7yOdnuPLTtwNtSAFKqwAlHj43s2WUz+Zus6nr9tjy7Zk2aXWG4GclLXu/3e7/1a9Kpfz0ZSoIgN6alGR7M3Ksf8Pa1lsAtLrcrLD5ULjtiF9eALpZ48Fz2szo1tbNbb4U1F+lbrbLtcFSuM/PcPhJnuUCoKrB9xu324tLV1v1xBgbvXW7ZQrqnnvOOfb7IUOsS5cuoT5CP4nC/Y3yEzzQi6QC9M0XXrYrf3azS5tr4r8hcH16W40aPsIeffRRmzNvroOfJ8rn5xNPPmknnnRSoPz8b2jsoA4WANAfrhMw1nAvxO8kP355NfkPV6Ig56IsQFsRwn+o9G3IMe6BQRsWZcGyHfvBAOjTAp/dtNzjyRdesCbNm1uWdpyO1kMaHemzqVNs5qLF9tBPrhYArZK3nK5sRitJrBwtnxs6/lstXYu1y/SLrnOIX5KIZTiH+qGkSdu2xd74ZoSd0buXnSyfTwe0iU1MFB98aa8JgnTfzppld1x8sdWtWcOyUOxFK0/NWDLUT94dPUYANM5uOPtMS8+IXr9xTaG6HMzMsLe+/Mp6d+xgfTt0sIOya9TqqEzxD7d07Rr7TruBXnHmGVqOWCVKdsUviQZd9Z2P33nHhtx3r4NzVRo3sWRB+9b9T7bKUn4yABdYX2aysk9ZlsDTZ7MzMmzu558JusTpRp1l9VJaWIqUoHQfP1E49nIoGwAlnfTdu2ziv/9le9estasvuMT+8sCQ0OZKbL4R4T7r4IAzTwWb+v67AoJZNvBnP7f0vft0TUZxQkd/3b/Xxj3/srXo19c6nXWqZQoSRrp+2NPXMSauoq2dNt1mfPypnfnr+61avdqWkxmdcYA86TtxlRNs4r9eV13T7dQ7bxNgjjIAlQrx4M5dNvalN6ztqSdb2wH9LCOadlVFY+NjbeWUmTbvm1F22t23WRWB5UMaX90FQgNEMLi25D6iPCf8+z1L377bBt//U4gcssfoAFD1IB743hz6vt3zxCOWEBNrXWs0sLOadrATm7bWJkGxhSo/fdXLAkCBuit3bbZhy2ZaXT0LpGdn2uDmHa2dNjwK+fz0qR/7XhYAmiO0lhgTZ+PWL7EXF4637VKDQ98u1j1zyO+HWOs2rd31yTXKa8+e3Q6ADhMArZlY0a7qWt3Oblvb+rbQbu+Kl1/56UvJdVFWAJqrZmZjpW8WbrfG1SvJDofs8q71LEnKT0kKQ+XzGeW9uz6j8pQWgKIudRs6xVWwl8evt+cnAFtVL8Fw4OcDDzzg4Ke3R75si/yTexUv3Ak88cQTlqA+1Ld6LbuyeRO7ILmRxbvVBKqPK/zRSZUfgKbbs/NDu7lvPphp5zerb4MaN9CP4KpbAcCV3MsCQCm6uyQ1Jo3V8vpbZ8yxLNkUoBzu85NJUzTG/aOtduReHUkA+vaLr9jlt930XwNAURsD/WmPiZoXAPhnz5/n+mpX/eD7l2eftZP79w8mufk7V/D3/7cWCADoD9t0PA/4cDzuAz6v4L3kFqCNeF4hADjzh6AN81sksn//YACUHQ5T5Jvomvvut9oN2AFUkOWY3+QjU1k60eyVKyxVy4PO7tvHKqEAcIODnt6jFACeM5csFQCNsR5SDeJGLZqBmuzU0jmAZMeUZGvVpIllAnaimClpL01LtWXrUm1w925WNTHRTZyi1Y5UJUu/aE2Wv6RK8o93cqeOluUGj2jWkjyzbNLceZYsm7Zs0lh2jWJfBQpogr5JO8UtlQ9OoGtlqV2ZkLpZM0aIYMAHGpB88oiR9sELz8vvYJwl9e1r3S6//PCydx0uOLgilR6A+kEdFc7MoR/Zrs2brM0pg6xZp87ul65c/XhQ+A27dADUmU2KwYqy4c7UNPv2+b9ZlkDW2T1PtPsv/InyU3o6qbAqFlzxkn3r01w1eapbbtlm8ClOjanKlSyBUp7lUlXaWenptmTUOKsnf4JNOrWzbCmWo5UnRUQBum3VGls7Y5Z1OOdM+YrVD0x5N/VSVqFkp6vf0U+Xj58giJ5pbU8fqIly9ACos6tgQqY26Vo6ZqI17NDSGrVuqR8lomhX1REXENtWrLXU+fOt/WkDrZLcUUS7nhUEJJd/O9Wy9x+0NmcOCA057iIqWdOU6izaUcuCP5sywZ4e+n8OeN7csq9dKVWmaJju0SCpoq+V0gJQ4Fus2nLDvh32yqyxVjOhqp3XSru91wJ+HuvzM399SgtA6ZWJsulKbXj0/MJxNntHmrteLtZKlMcF6PD5yVgHrGJc5DMA9GYpQFkC36h6Rfv3FSnWK1m7hMoW/pyCrMKxsgBQ51s1LsYma5n9n8el2onyL3qldmV3Pj8duCv4js7wT/OUBoBif56F+A1oqtSmD3+9zuauz7Z43c/vuece+8Uvf2mNtNs7oSzKP8YdXk8KgGLfRAHQu09oYXe0a2FVHPxU3q7gLouj/ikrACUe4+tujbP3Tl1ke/V+R/sWdnLDOk6ty09FheVZFgBKn8ItzBqNR7+ft8iGy+cn9/ALLrjAHtMmWu2j7PPzKKPpD/9jZaQAaJx+EP3PX5+3a+7++X8FAOW6dDbSxTLy66/tESk/5y1c4L7rI+Xn03m7vbsJsNrx/7F3HvBVFWkffimhiIBU6QQrIIpUC4KA2LuuHXvvutgrdl13dVf3c3ddy664NlSkiaIgvRM6SIeE3nsgBPj+z9wMXmISUs4JAc7kd3OTe8+Z8s6cOTPPeUv2a5/Mko/+jyRQdCUQAdB90zfMN5tlBTZixAgbKmvJo48+2s6TVUCVKlVchaL5Zd/0S1al0le8UlNT3Yto8LgA4rPtsrocO3asDRgwwAXGPEdWtqyN+C7qw6ykmffP9hkAxT9R9cREO+VqaWRWriwNnuC1sJyOkha7QJ6la9fY+g2b7Ji6daRhV1KfhJViOTNIF69a6TY7tatUDbE8LYbVFNqYKo265GXLrHqVylalvAJmCMKyMA8raTtmK7VZWy2gdEStWtrElHJmZGGVSL7pAh3Jy5c7LcnEw2tkgMGwWhiTLQEykGulihWssuQKjAyrjYwe9AM3btlsq9atszpqYyltoN0mK/BmxsYq29vZY0bbqK+7y7S4rDW97DJrfO45li6TvhzHD6drfOVFA5TrQjO4FRfAWqJo71P69ImZanfo4D5380DGRjXr5uYRgLKBF1zYqnE6VWXNGfSLlVR72yYeYzc3lam/hL1Lu9Dg+zMmW0bKuuQl2vTvtKpH1rddAvixUZV16wr8qRqyQ1qCK+cs0LxaxcrX0twTWpmxNspBpm1Zs87WLdLcc+wRVrJ0KTVDIzbj6wK3KS4DN370P6baq+cmO9cQ1Y6qLymHUBjlZgwMhi1aratUZvnqVe3Q6tLG1Lyw+wCODSypMMpFrqvW24blK9zYKVk6QR/qu1CamlGmlbA18xe7MVRVgVuKxdQNAy9zdz8Knv8yb4Z9kDTEKiaUta4tzrfW1RNtq1xG5OaqzAsA5R4JKKIv+8xNspGLZ9uVDU+2VjWPdA+13Jj1HZ5NX+YFgFJegrRaFwu2vjt9iI1ZtQCq50AV2onHHBPT/PSgD5lkBqAEQRqkIEil5RbFmW0DSLKpG+fnBYAyjFyegtCbFOjoH8MX2/SlW+ypTvXtyMN/7/Mzc7FuGKoyuQWgPGhy/a6HwuMEP7v+mGxjU7Zbgu4Ft912uz0jMFS1alVXjJdJ5jL39n88AEXGleTKhSjwZ9fRxgH3PDlkwD02r1HgkYF79KKMey5Yap/MWeR8gF6giO9crVpg51hmXgFouvIrrvVAija4ryrgUV9Fe8dfLT4/X8uI9k4T403p+D/MFAYA/ej1t6xzl/v2ewDKePfyGfLLQOvS5VGbPHWKswhrqWjvWMK1bdfO9RfXfrSxDXOkRnkXpgQiAFqY0o6V5fb8+nPOnDkumNrnn39ul+hh6ytyr1GnTh13/83vvbXwW3Ngl+jvDZMnT1bAyx6WmJhonTt3dushvlsuzvGuLKT/7//+z4Cf9OGRRx7phBLdJ4IZG/sMgLJYO1YO2u9+9jmrLniGr4rgO5XlaUxrYuj0aTZnYbJde8YZVlaRQVn4q8BgpLhHLrEyMckcLOfmmDO3l3YkJl/hJOVLUwSNVghE/jB6jLVu3NCOb9DAtgmEBC9T34rYZm3y3Hk2afZsu7RdW6sgU+30UED2b2WmaZz8pKciZfSU5Fw9PU8LySTUl4hw02R2/+PIUdboiERrLDPtbVn5w/zthAL+FdMATdHkN3HmLOsodwbl5B9zh+Qa/Hj1Y6e4DZQp+vt6KJFQ9hAHQBsq8BEgLcfxw5DWNZRbAOo2v24DJygwY7oCHo22LStX2YmXXGy15VogTVpnBJvJOeUOgKoYVFOcFt1madNO6d3TFo1Psu160lZK8Ozith3t2RvudHAUTbMc25lzhXL8lu3v9J8Gqirp1uyiC135ewZ1yvH0fH2JafaEb3paLcm0wUnNnauB0Mpk7tEct3TGTJsljcxW11wpn7HlM3xV5qv6ez0JxUAg6+TeP1ha6lZrdtmFukzD0wBlfoWUb9u42SZ+94PVbXG81W3aWEB0Lw8I9tqSHA5QmWiALpk62+aOHmct/3CBlZGP5ZgP0BzOK8hXGX05pc9A27Z+k7W4+vzYnMPFFMKtkvkA7eGvf/nRnv/w/6ySgiA92/xca1mtvnvQlZtCcwtAPfzkNjwweaqNWjxHrj9K2i3Ht7U65SvbNsHs7NHib0LNLQBF07GUYOecDSvt3zNH2LhVKc7c+XI9XOoqLb14zU+fO/JgHorXAD22hgDo3U1kyl1cjxQkrxw6gvNzC0AlhhiYUb7rU9Pt64krbFzKJpm/l7IuHepYOblCIOXU7eTBAbkBoNR9h+y2i8uGf9S8DfbagEXy/ZluCbqO77nnHntImp+1tA5kA1cQeJcZgFbWWg8AematmgrilPMckVcA6mSo9jPHf6uHBv0WrUQi9syJx9iRFcq5tuztbpYXAMrjFiwWkqX5+afps63PipUatzuMaO/PPP20ndismRs/jKGw7meugZl+ecAXmAaogPh///qeXXPPbTEZ6jraHxPXo5fNz7Kwef75Z22c3BrxIOBkrV3RUj71tNPceAdKFGaf7Y/yjOq8f0kgAqCF31/MN8w748aNc9YAo0aNcm5lntb9oawsNEnRPFP4/ZJdifTTG3oI9uuvv9q9995rd9xxR+whsU6YKmteHuJ+++23bo2EW5+KFSu6rKI+zE6ieft8nwLQpq1aWde3/2q169Z1PvJ0Zeat9ns7mhWqsmRS6KPo0hNnzrYuV13hTLXxyRN4edQno0yAbs9hw10QpEsEB1n0hJIysuWCWLRypf3vp5+tU8sWdorMoLbKRDOUC8U3RWWOFFgeOnGy3Xnh+VZZFycbkNDkKgFuU5u+/OUX+QAtY9d1kn9DmaeHUh6dldFOgkl9/sMP1lIybaUI5dQhlDIzyisujZy5C1Ns6KRJdpmAfcVyh4Qj17h+7KknhS8/9qgDoCfIN12js8/OOvBR/CDmfI2B3ABQN/z1C7+GizSxz9WNucaxDW3t/PlWW8Ea6rVobtu3CIDudbOzdwAaK0sbaW2kUqVFO6V3L5s/fLgDgSwOypYuY1efd7G98egz2lAKLGguCOU6YfKRjMZ+/ZULgtT2lttt26aNuWhjvJDz/jdBkAb/49+Cnyc50+ntgoShAVCGgABosuDyhB69rePD91uFqtLoD/HBBH1IEKSRH3eT2chWO/32m/VAK2e4kXcp/naGuytpnKSu3WBD/t3Njm4v/7ht9PBFrgbCGTcqW+MG36rzR0+0qT8PtPZ33WzlK1eynWjzBn2f9E2VXIvp4cCo/3S31NUbrP2DN7lxE3tY6A8K7h0oCYTs1qO7Pfz6c9LWK2fPNjtHkboTpdWWO+3a3ADQGPyMQZTv5yXZ/PUr7djDatmMNUvs8mNaWf2KVaUBmrvycgNA5e1Pkc0TbOGG1fZ/aH6uTnZ9hokyi1hM0hg3mTUxGNd8vicALWWD7jnOAVB9zYySbeL83ABQpm3mvOLSxNy2fae9P2KJ2r/LapQvZXNXp9pD7eooqI4A6N7Koyaq0N4AKPBzp8hzMZnZj5uP5meKYKvWJrLEueuuOxXt/ak8R3vPTgiZAWglAOiJ0gCtLbP6AAGok6Gb3ovZN4KfPyja+9nStp+wZqNdryjwTSpV0Jy0dxdEuQWgDn4KVi/ZLLP3Kb9a/+UrLU39jc/PP8t/5LFyswQ4Dm0+yk7g+tzfP4MCoKV0397fgyBxLXq5jBgy1B6Wf/VJcmWSrjF4vPzzv/32W9L8PH2337d90W85dGn0VSSBAksgAqAFFmGeM2De4fW9XG089dRTzhQen9q33HKL20P6NQfvvOLnHc7j/sk732X3IJLvmdvcGiKLfHKqtD/Pz43+2JzKo07xZfk8OJe60AbqSh7ZJd+2rMrNLAefB8dSts/f5+HLjK+z/y4+f39c5rpxDN9t1f7hv//9r+sn1oTPPfecnXvuua54zlm1apVNEgNYsWKF4Se6oQJbx7fR18+X4+vNMdm1ycvSt4lzyIcXibx8u+LHhvsy4xd5eLn4c3x+8fWLP6eo/r1PAegJigL/zJt/tpoCoLEo8OGIiU79XqR9yuw59sBll1o5RYF3ADSc4lyuREPvPXKkM1++sM2p4QHQjDYwAJfogvli4CDr0Jwo8I1sq8CdPg4tUeYomTGPnDLVbtaFW1n+K1jghVam2oI2ZvfBQ1wU+KtkNr3dbVxDa6Lb4G3dKuj600/WXPCzpSahsOXKJDJv0SLnd/RiRWGvoEAdYcqVfuz95Zf2+pNPhghABTsEVxZrvMwbPdpqCybXOf54m6QI6TX1d33NBWlBAVBttktIe27LurU2qcd3tihpvO3Qzaau5hnmguVLl9qV51xorz70hAsA5TbnoQ1as/E9vnUA9NQbbpIfyc3hA1CVMeyDjyXTVtbojLahRoHnykNrN3n8BJvU5wfrKL9tRIHfuT2kByEqD41dAOjobp+5KPBtb7kh3PlcY4Y2bl230YZ+9LmiwLe2Y05tFWoUeA9AF4xVFPgBQ6zd7Z2tXGVFgU8P6cEdHUk7BV3HdOthW9est9PuuT4GzlkbhXAfiQHQ4vZpr2/tkT/LXDlDAzRIABqDn4KNur77zZ1ks9cvtbMTT3TBcXrMHmd/OFYAtEK1wAAosI/AO/Pk8/MfM4ZJ8zPZdmldfhman127Zgs/Y+KPLebDBKAefjKeNyrK+3/GLLPNipB+zck1bOHKVPt5xlp77Iy6VqGM3AQFAEB3w0891MPn50v9F8nsPc1KCnI9cP8Ddr/8ftZS0D0Nvj0W98gjP8kvztGucybwAqB/lwboWdIA1ao9xywZ5rkxgd/pwKe7XKz7vCXWb/EKu17uIppWKm9/URT4zkfUtuO5VrWp2NtlszcASn9RazQ/F0rz89XpM+17mb2nK+9LLr7Ynn7mGTtBllTcw/fV5oPNE+UHCUC7KQr8lftpFHjWGF4mP+nB+TPqo4mTpzg3OKcquCSmjKfonWuAhOyiFEngQJNABEALv0eZe1C++vDDD+2JJ55wlibMP1gJxN8fmJ84FtAWP//wGSn+s8yt4Bhe/hj/nvm4+P853kOz+Hr4Y3x9+C6r7329/HHU26f4+mR1LuVyXua2cr7Pb2/l+jLi8/ftJn++5zv/WXzdKIPP/ff8T1on5Zx33nnH3Q/on9dlFQ0IJXE8x9GXvOMmyLeZsnwe8fVxJ+oX33FMVu3lc598Pr5u/vP4vOPbw+e8Mh/PeeTl8/b19PkV5fciAUBrKQp8elhadRmd02/sOJssU+0HtBE5VAAUn3xhJgBo35EjnL/RiwRAY0FswipRF59MNBcDQAf8IgDazE5q5EFdeIsrLoTR06fbCAHQW+RkOQZAw9NQoiVEgf96yGArk1DKru7YMWPjGpZcY/t+or5/+VN/ay6o3BIN0DBNX9UUorLPTREAnTzJLhHkjQHQsOTKjay49f4CAPpE4ADUT4r4LVv66wybI03M2gp2lNiipbTZtltS9+7SAD3B+QENAoCirYbpMD4/p/TqbfOHDeWOYE2lZcpT0E8//dQmSFvxKgDow0+4m5LzgxfwZfLbbUYAVCYMO+XTsA0AVBo8YWpjUu7WOADa+Ix2GQA0+GvEt5G+BYBO7N3POtx/tzRAPQANoUwVypgqJQA6KgOAtrv1BsGGnOFGgWqiMumzVJmFD/3wMzuq7Ul2dJtW4cpVZZYQjASATnMA9HppgMqvswOgBWpNlie7vpRceXAwygHQDdb2Xg9AEUCWp+X7Q8qjH1ks/a/nN9YlBAAK/MSsnbJ+XjjZfl2z1M5JPMGOq1rXZkr7s/ecCXZFw+AAKOUlyKQ/ZfMaRXsfamNXLRS5KmYXXHCBC3RypAIekbJbICIP7qlhAVDkwAK2uODnpm3p9um4FbZ8U5rd2Opwq129rA0R/Bw8a509GhAA3Q0/pWk6VvDzBWl+OvipB2G33HqbdRUQ9oEZslrIO2Hl8VfYABT4GVs56qHhwmXWJ2WZXVa/pnWqW0OR7Lfam1Pn2o1HSgM0IADqND8zzN7fEPzstWyl4Qf0bGl+vvHmm9ZI65GsNiR5FFuBDvebogiAxuY0L48hslR67NFHbYJ8vBForLlcFLz19tsOfvrNKX0XpUgCB6IEIgBa+L3KGmLt2rX21ltv2WsKrubWHgJrlSpVsinSQF+zZo3zs402IS5n/JqDeWjLli22VMohvNeoUcOqVav2uwZwPPdYtBPRTMSsnnzKyf2dzyvzSXzOi7SNOCXJyTZbLGbDhg1OA57zqU9lxYIhURde/rz169fbMsXgKKM1P/VCc3K6uMPixYtdufhSxzemn0v9O3nFw0nqO0MKOCtlKUveBBTCcqJ69eq76x5/LvVDHnzGsQSpmzlzpiubYEVoZfqAjZSFz85Zs2Y5GQMuDzvsMAegExMTd7efdQ7BjegHTNz/9a9/Wc+ePd0D8scee8yth5B7afkuXy3XbbSbRBtpP/X29xdkyT0XWW5UAGwgqW+TX1dRd15e/l6WtAVZ0m/IAz+kvPP/cXKddsQRR+whE38+daHumOzTXuSLWT5t9H3AsdmtcTm/KKWiA0DTZVYc9C4rI0c65PsMAPrg5ZfJp+KBBkDZZ8U0QD8f8IuLyN46ZFDHso0La1ShAtBizvz868GDMzRACwOACnxoovnKaYA2tBaCoOEDUEUNTkkRAJ2cAUAPkQZoeAAUeI4G6Gt6YogP0CBN4PGFi+bnEt045ssNRc1jjhXsbK7PEuS/cYtNFBwMAoDqEnegE82mLWtW29S+31vK2DHy05hmzRVs4A0tAtAAveGGG/YAoMDmmAaozg84xW75ANAeAqBp1ubGmzM0QMPd9KRKU2jYBx85DdAwASjioo3c7BZmANCOD9xt5XdrgAYs0IzsmM8T5MagUAGoxlXqemmAfiAA2k4AVBqg2xUkTFNgKInxXEKRsReMnVgoAJRGuDIFq0YLgKauCReAUh4gievvf70EQN8MVgMUM/QSmte4tgfI5+estUvtjHpNrFFVtA0VJGCt4NWciYEB0B16oEqwunnrV9v7s4YJfqY4aH7ZJZda1xez9vnpKhL3i3HNPTUMABqbHiVxaWJu3rrDPk9aYRukAfqHZtWsXqUyri8Gz1lng2cGA0C5LHD7U0zljVmw0V4dkGKjFijae5lSdsftd8gk+I+hBGUIE4DGw0/M3n9ZutouTaxh7WtUk79XbYBSt9lb0gC9IQAASn95zc8UPTR7TT4/v5fZOz4/MZN7/vnnrVmGz8+g4HHcUMzTn35DdrADUK5fL4uB/X+yrgL8o8ePc5+dcvLJzvfv6aef7u6XfmOaJ0FHB0cS2I8kEAHQwu0s5h4SEA4t86+//touv/xyY8757rvvHORK034IwIZCyPXXX+9cqHAO8xGBkz766CPnP/TKK6+0m266aXdEcr5nfuNF/hw3WpZ8Z511lvMxCmD1+bg/Mn75c/gXc24UUEbKMpZ7BZHPAXEAyNatW9u1115rHaTwQ1kk3gF23aUkQzCnM+QO7iS59frqq69cZHQAJSASf+pY2FBnYBzn8fLyAJT27t3b+vXr5+AlgJg9C5CQveE111zj7qncR/25rCN+/vlnp6EJfCQ4EeMZk3XyS0xMdD47r7jiCps/f77z0/mLHngBI6kzqXz58tagQQNr27at64cmcn1CmqjYMP/4xz9sxIgRDrBSH4I/1q5d2x37R62NgJndunVzcBRgOnTo0N0AlDoCs/l+uBSKMsuSNiFL+sYnztm0aZMbE/Rd+/bt7eabb7Zhw4a5NtH3gG/kydig73HZRKIPSfQXx3/88ceWlJTkIDifH3rooa6dHaWQdtVVVzlYy+eUWdRTBEBD6qHC1QCNAGhI3eg0iCIAmo10mRc1yWXnA5SJM0FPspInTbR58vlZVxu2+ic25xR3c9ohre+J335jtaQRWr9Fi3ybwBM5XiqADrSmSvNz8nc9bcGokbZLN44mMrN/6cUX3c1gyZIl7mY3acLE3RqgEQDNpm9z+TFDIAKguRRWHg5jzREB0L0voLLyAYomZglpYgI/+85PsoXy+Xl2YlM7unJNN+9gTjx37fJgNEBlDYAZc1n5Mp0rs/e/zxhiSWtS3Lx48UUX28uvvJxlwKOshgLzJYvGoAEoZbEZwOfnVvn8/Ld8fm5J22nXtKxudQQ/d8n/J2B00GxpgAYEQF1bSpWwsfPWO81P7/Pz/vvus0ekFcemh7YGvUgOC4DuNnsXVO8xf5H1WrjCOh9V29rXrCatX3W3RLhCliJ/mQoArV0gDVBktxt+Spv/xWmzrP+KVZamPjxXvrnR/GRTxoZtX8NPP7box4MZgNJnHn4Ok4umhx580KYq0COui07UhvJvf/ubnYzZuzb8QY/5rOaS6LNIAvtaAhEALdweYP5hHgKs4U8S+aMRyGeArRbaY6FVyOdAt3bt2sn/9pN2mgKxkebNm+cC8nz22Wd23XXXOYjqtUCZs8h/s+ILAN5eUCBH7uGPPPKI21P5eS1+bvNzItqQQ4YMsT/96U8OmgJLAZn169d3EA0gmiKFn1aKCUN+aK36tqAtynn/+9//nLam14ykLdz7xo8f78AtEBRwCLjjc8qmLmgqAhvRsgQAAiFxGYP2JAGI0CTlQSLal5dccslu2IdGJdHXMUsHIGOaDogFEh4iC2I0Vp999lmntYoZO4AVuMx9GasMEnnzQnMTmNilSxf3HYGp/v73vxvvi+TqrlSpUk4WyLq9wOTdd9/toCoyBjjWqVPHwWvy9DAUv9+cj5bpyXq4Vk9W1Ghw8hmybCmXco9qnRUvS/a/aAYDcfEdDnAFjKPFi9Yn/YQ80ewEnlI+MNT3I4AXt0K0CTlSBv0EjB1LYGq1EwBKH1Jn5B8/Hqh/UUsRAA2pRyIAGrxgdTlFGqCBizXmPiEoDdDDpFaP0p+YbQAAQABJREFUP19tCZ2p5cIJExT0aIrVPPpYa6CnfMAHNqn0Zfr2bQUHoJdeJu3KHc7sPVU+P6fqRrRQNwE0P0/Q5I0ZyOm60XOD5mbKjX1i0oQIgAY0jiIAGpAgM2Wj9VsEQDVH7C3tCUDThT6Zz2ILrx/nTbJZ65baWfWbWmNpfuI3Ea3EkpqD5qwTAJ1dcBP4DWlbnc/PhRvX2D9+VcCjlQvVccXt0osvsRf04MX7dMqNSZBftAcJQHemo7Wh2Vhtxuy927jltn5Lul3T4nCrV6WMFRMk5vtdAQHQJrUPte1paP0Xs/GKKt+1X7KNSdmuRX6C3a4Ip48//oQdfvjhblGdG5nsrf8zfx8GAEWvBgBK+nb+Upm9r7Drjqrl4Gcpfe7kqzG3QhrhQQBQTNy5T6ZIk/91zN4zfH6ee8459qI2IPva52dMEr/9ZhPERudgBaB+g4hE0PzE5954PfTlc6K9v6w+O01rEMb7/rAp/K1no78iCeRfAhEAzb/s8nOmn4eAfUR9x1wbLUe0I2+77TYHyYCAwDqgIObdAENAHhqImIgD84Bk58mlHXsnwCL5+gdtgK4Xta4BzKFByFwXb7oeX2/OIwHlCP44cOBAB2Hvv/9+5wYEeAdQHTRokL333nsOzF6qALyAN9ZNnA+kpDy0MdE0bNOmjQIn3uXMz7nvMMYAlYNlFeqhHRqQJOAi333wwQcO1t54440ORGJyD0jEBB05IA8AJXCP9pLQ8gS8/uc//3HrFQAygBZICuhDuxNtU7QhyYM1Dfmff/757m/yACQCGCkfyAmQvPPOO53pP7D5S1ld0m7KvE8PhvELTZ7kBWwETgOsgYqvvvoqWTqATD0HDBjgAOQD8qHOeciSvkUOtBm5XCwf4RzrZUl76Ycff/xxdzn4HsWiBFAOAEW79q9//avrU4JoXX311a5cZPm23LcAojmHchs0aOD6CLAKNP/3v//tXC0AkxkbPhVlCBoBUN9LAb9HADRggSq7CIBm7MICFW2wALRijcMFH7cLfsrs/dfpNmvwIEts1drqndhMn5VQEBfptmhzh+10QQHoJpm6t7jksgz/jPj87GULRo5wmp/HS/OTyb5Tp04OfiIyACimAREADW4AscSJNECDk6fPibVjpAG69/kuHoBuk59d7hFalVm/hZNsniAnmp/HVq7lfH7HFuSKGCoNgTnrlhUIgB5XtY6dVOsoaeWl2+JNa+2daYNt/Gppfmpuu1iL6ZdlgsbC1gOP3CwCqR/HBQVAO7euYTuk8YnPz81p6fbfMcttreDn9fL5Wbey4Kc0PykPKBwUAG1cq5yTP2bvL/VPEfxMc/eCe++5xx5TNFrvbysM+Mm1EzQAlWGB7XDDsJh9t0DR3hettMsSa9oZdaob8DPDIagWJ8EA0JuOqefySt642V6fMcv6CH5u10YP+MmYQvOCPvMbUj9f7Mv3gxmAcs369uPz81Fpv0yUT/wd8kndUhtxNHVO0aY9gp/7coRGZe8LCUQAtPCkHlvbxHxsAtwAoAAtABYgKzEx0d03OA4NQSAX/icxOcdcHn+W+NYE+HEusI/9E5qWfl2Caff777/vYBz3IUClN1nPfD9iTiQBztB+BxKiZUje5+heBhAkkTdalZ988okDnYBYwB/7NBJm6wRzmjZtmtNYxfULEBSFFs5FkxPzeCAuUJJzAZGYawPzOJ663H777Q4+Amv9fI18+vTp486l/pyLqTv5Yq5P+/geIEl9gJTAU+6/vNBcRdMWjUjiSzz00EMOHHK+T8Bf8gHkcj5AkgQcRS5ARaApgBNQSb6sYYCj1If68o55P1AWQA3gRMsUWXIu5vKcR7lAUORBmcgD2SEPvgOqPq41GCb4rE3vvfde117vNoB6/aCgfZxDn3As7SJRf2RJP9BOXiRkSNlojgKqcYsA5KU/0Cwl8X1RTREADalnIgAavGAjABrGRBIUAB1ljTt2sorSACX67VL5iZk3ZrQl6sZ6uPx+lpQpPJqauyfDAgPQYbZx1WprJR8sm/TkcmrfvrZo3FjbKc1PVPOf02TdQeYE3Bx8igCol0Rw7xEADU6W8TmxhooA6N7nu2FLZtrarVvs0qNaSsNTfpIlt5+Spzifn2fWP8EaV6mtAIQx0zAtxSTimHl8QQFooyq1rF29RjZl9SL7cOZIG71yAU8C7DJpMLBQxBSKlBfQxyKV+TEwANpSc7HqsFman5+NX2HrU9Ptimby+VmlrNP8dLBY3wcBQF//OdkuP6GqnZBYwUbLl+irPy+y0Qt3yAVKgt2lBfEfZf7lzfHyIhNkmJcUKAA9roHGjkaM+gSfnwOXyednvcOtQ83qpvhkzuwd03dcIDC2CqoBekjJEnZ7o0RLltk7Pj/7LlsRM3vXhhFtYszRGB+ZN5t5kU8Yx/oN5cGmAUq7uXbkAcF+kUbO8889b6NZg+gzTDxfkA/Q9gIMEfwMY9RFeRZ1CUQAtPB6iLUDL7Q4eeiCFiem3T4CPPcNv/fiHokZO2CNwDXAMvxrcv4333zjNBUJkAPcQxOUeY57DtqFgC3MytHCRNOPoDnxefsWkxfnAdSoA8F8AG4PP/yw06DkOM7jOBIm8h4mcgznADfROKSeaF1i4k65wM/4hH9M6oVWJec+KPcj+OIEKvbo0cPBQ+AcJt+0w5dJHphvA3rRqATqUS6pf//+DgTyPdqhHEPAJM717QViolVJO/kOM/T4/DkOTVnqRpAhnz/HAxKpXy8p7aAtibYtsiTh2xTICSzFPQHHAaR/UhwSZAEIxUweU3PM8X2dfLvwC0qZ1A3oyt/UBSCMGT5wkzKRN/DTn0e90B4GgAIvkcUf/vAH9z3QtKvuZ0BUoDd9gQsF8mU84TKAcYFWMXAVQIu7gqKeIgAaUg9FADR4wUYAdO9AIO9SDxaAVtZNYIGeBs1XAKK6TU+0RGlBEGV9lyAEk+XupPtevjVA9dRp9vChlrphozXWjXuibtrJo0fZTpk1NG7c2P70xhvWQQ6Z4+Enk3wEQHdLP7A/WL6wwYuCIAUmUpcR68IIgMbNF9mId/jSmbZyy2a7+tiTFCAm3frOG28LN6xUtPcT7ahK8vnp4Gf8yQUHoF9MH2UtaiTa4YceZm9M/lk+Pxc5tnqJzN5fejlmRsVcl1dQ5ReyBQWgH45YaofIMeWNp9aUVscOe3/4EkuVWfp1rWpYrUqld2t+Il2u34IC0E3SLn3jpxS75ZQatlqQ9bm+yS7aO1YAbHrYKKH5ScqrTNxJefgVFACdsX6TPXB8A8mmmHWft8j6SfPzegU3aldLAY+gnkoZbwUHoCrj79PnWY0ypZV/JXtuyszffH7KPO0NmeIdI+0QZBe2/PIg6t2HsnFivB9MAJRrlbFGu9H87PLHLs7nJ9He8fn5rny88SDWr0H2WPvsllz0RySBA1cCEQAtvL5lDmZOQhsRWAdYI+ArcDP+3ssxvDwMw0Q+HnRhpo7GKBAO2EYeHI9/yXfffddpjhLUBziHdijzWua5jeNJ5IGJN/CRY3lvL6UUvvcPQX29AWx8D2BjzUD+RBtHSxKgC2wDEmLe7s9n/iWhdchDZ/K4R5YmaC4CCwF5mJCjvUkwKMry90/yoN7ARGAw2pzAQuSFVuMXX3zhzgfiARrRIPX3X86jbF93jqeuAFE0TwGMq1atMkzD8ccKoMWEnvrceuutrv4AX+QMtAWMUmefuI++oT0sJuWYvwOzAcD//Oc/nYwA28gnO1kCW/ketwG4PkCumPyjhcvn7JGBn/gHJXmZUHe0h6kXZaAZDIBFVvQlGsP0Af8DOPGNerZ8khPACnjrZQKgJs/M48K3ryi9RwA0pN6IAGjwgo0A6N6BQN6lXnAAumL+XAc8jz/rbNuyboP9Onig1Ty2kR0p3yRuhx37tWfVdI/MHwDlvO02V0GOVi9YaGXkW26+nrIBP0+UmT0AAs1PJmEmYF5M2LwiALpnFwTxH0udCIAGIck989BwjQCo09jcUy6Z/0MDdN3WVLvimFbWa85YmynT9rPqNbUm1erIdHiHu+4dndx9YsEAKCbvPWaOsfKlD7Epm1bagCW/qqOK2yUXXaIoz12dJgBzjl9U7i42F38wR3FuwQHoEqtcNsEualrVPhyxRGbvO2T2Xj2m+SmVRjcvZtSH67dAAFTnb5CG6Z9/SbGjqpa13tPW2qC52yxBJm5sGlj0h+nzM7NYWYTzekWbQBb7lQQV/96siZ1Vqyb28ZkP3+N/5+tTC/efk1fYnA2b7a4m9e3beUvs+8Ur7arEWnZGbWl+ou6nB3rxd+KCaoCmqeB/Tp9v69K32+qd2+ybJcudv1pMBWlDUfP5uYfQEMdBBkC5Tl2b1fbB2rA/8cSTNn7iBDfX4POTDefpWoP4TSDXW5QiCRxsEogAaOH1uIdxgDU0/oBvQDUAmJ+HqI2fuzCT5sEk92aO9wGAvOk3pttoC+K3kry///57B0oJngSwAzRixu7WEpnmN8rgNXfuXBdEiKA7mOLjUxMrEJKfE3198C0KfARE4l8SoAkcJAgR5uCsJZhX8QPKObTJtxnACMRF69NriQIPaRfgDy1HACTH+3WZ/5vARbSJPAGvbyrAIDCTIEVoXmJuzzsa/b5c6s/fQE6AMT41KRtIDPxEc5VyAaPkz99ocNI+/JRSNr5BAauYqWPKjok7n5MwN0fbEk1OzMkB2kBRZPHpp586KAogRUuX5NtEnXgBgikLjV3axN8equLiAN+ggMwjjjjCnU9fcB7aw8DWv/zlL2488E6gKl8vot1zPlq5uDag7nyPbPAz2z5j301eHnC7AorwrwiAhtQ5EQANXrARAA1jIR0AAJ07x+ZKA7OKIr+tTllkNY5tKM1P+fwUhNzD7D1+SOQLgKr9ghrcJuYMG2pT5Z9ll/zWEPCoqSL7caPoGKf5GX+TZVKOAGh8BwTzdwRAg5Fj5lw0XCMAugdmyiyh2P9DF8+05Zs3WNUyZW2azNHPkuZnwypofsYWg3vCT87JPwCVjoXMXYvZJ9OH28/LZtmqHVstXRqml2hBiX9GzMmYc/yCNOsaZ/8pcxTn5xeA0mbCz304cgmMzmmBLlmfJs1PBTyK8/kZfxfh+s0vAEUejNNtKuz+b2dbUnKqLd6gBXmJBLv7HkzkYj4/aXF+ZcK5eUnBANDlNmvDJqtzaFn5/Fxul9avaR1rH24JEpy2Crs1P329CgJA5bRBGqTF7W9T59h/tclZv2uH5LnTzpfpIQGPvM9PxoW/n/lyi8o7GyTqxiYLzRI2gWjqAL9z2+9sEtlYozFUSm5rur37T7vyzlv22LQWhfZyjfoN4S/SsHlKWlITZCbJZ621yWUDfZKi8rIBLMp9VhRkGdXhwJZABEALr3+Zl7j3YcKOBh8RxYFoADe+Yz7inYQvT7QB2S8B5gCLgD6+Z48EaEMDEnNz8kCzES1M4BcBc9AM9C5+sronkQ+vpKQkB9+AsphsU05mjXh/LCbnaJxSFhAT+AqEpXw0Gvmfz+PnVH8ufjo5F/+XQF20PYF3wDyikeM6BpNuf59CBv5c3kkAUoL7EIQJ8ApgBDZef/31rr1oysYnADNgF5ngUxXfpdyr8RGK306OR2sTLUz8mPIwkzw5Bm1KAC1gEs1Y+oFARtSF+yVuA2gH91He71DwSC/LQQoYRb/QB16Wvl6+LZjzc+9Fu9Vrl+KjE1l6qApgjjdRRzY+SFJfuZO7VZqq1Jc2+Psd+QN9gdW0iz6bM2eOM8PH7B1/oWgMA6nj+8nXryi+RwA0pF6JAGjwgo0AaPzWNSj55h+A+gl37aLFNqlfH20Oi1uiVOfry/SLGy435KxukK7muu/kRQOU+9QuwU/MKjevXmXjv/rSlugGSzncRNCUwUwiXvPTS4h68ooAqJdIcO8sH+iDyAQ+OJmSE+M9MoHPeb6TBz4bt2yBfT93gtUsX9E61DnOCE6ULogUm5uyOj/vAFRsx4HOMsVL2lyZ17856WebvmGZ5poEwc+Y5icbAua63AKfrEYLdSaP/ABQrkMWqjsUzf1/Y5bbDzNW28n1K9ilJ1SzukR7z6T56ct35zE/6rxBs9fa4Jnr7NEz6lqFMgQZ+D0+9ucBP3eiCVmyuI2dv8Hu/ma+LVyzS4ty+bHUgp1NWGFqfvp6FQSAOhipDciYpWvsrWlzrWa50nZhncOtPWbvkk9mzU9fZn4BKOUVV38vlunZfWMn20hpotD/Z2vTClAv6pqfvv1+Y3mgA1CuT9dWNXzQgIH29FNP27iJSe4BQiuteViDRD4//aiI3g92CUQAtHBGQGytYw4AYiYN6MIsOR6ssUZn7uJYoBXamAA8ND/RcOThLQmTcQIkAQ+vueYal4c31waYAeSAXKxzslvrUAYv7/9yxowZzi8nUI568J3fF1Ingi8BG9HiRKuRdzQi0ZJEixVNSs4FynFe/LnAXEyzmXsxywbsARlpH+bcmHmjYenXIv5c6kBdAKN8xv8ARUy50cAETgIdAYhoasa3FQ3P7t27u7KArsjwuuuuc/ATbVPy5PhZioNBPXBHQCAioGWlSpWc9iRAGQiNNibAOTEx0dWBB4FoWLJ+wqco9QCeYubPw0Xg4/333+/am3l0Ict4v6nAWO/ewPs0RbuV9mDuT/Jtp/3AVUAycBfYjC9VLy+O5RherLHIBz+muBr49ttvHTRmH04/eW1izo0/nzyKWooAaEg9EgHQ4AUbAdCsNvQFlXP+AKjmQZccpBk/TtHeB8vk/VQ7ovVJ+lwTpSZjzX7ZV07n5xaAurKkaVVcN6jUdWttsm6MyWPG2E7diJpI8/N1qfPjmNk/Ecs86fqJOwKg2XdHfr9hGEQANL/Sy/48xnwEQLOePzS7CBwVt0NKlrJPpg1XRPcldqV8gB4tn5+xgEfZy5W5qUTxEnmKAi+caodIq3H2+pX2zxlDbfzaRcxwdqkWvmjp+Wjv8YvknGqQ3XfMU8xdeQWgXIMsfl209+077fX+C13wnPva1bHah+3p8zNz2e5clZsXAOrgJ3UV7Bw3f72ivSfb6GRFA5VcH7j/PnvwoYfdZoCyCiqTzPXd2//5BaBODhpuOzWuPpqxwHqnLLOHmxxppx1exUrL7J3vvc/PzHXIDwB18LN4MUvZvMVemhrz+YnmJ0En2JCymWMsFLb8MrctN/8z9qjrgQxAuTZpJ+nnfj/Y49ooTv91hqK977QWeuj7tnzVoU2V3RokN3KMjokkcCBJIAKghdObfn8DuEIDHfNtfDcCA32gGu4jfv4ChgEF0Vz0PjPR9CMBIz/88EN3LoGRMD1HGxSfoQBR4CpgjZR5n+U+1C9fHx8lHaDo/XpSD38e92qOxVQebUPAH1HNAYWYZ3/88ccOBAINAaEAUBL7DX8uQYqAn2gtErCHeydKMADGv2lORqsTwEiQIp8ok4SGJD5HMf1GXphyUzfM/QG9/I2cMN/nHP7nnfPQMAVgnnnmmQ5SomXq79UcwwvwST5ofHpNTPLwmpZoeiJf6o/8OQdzfHytYqLOnpb3ExVIGACK7NGK9RqgyIH8SF4eXnsVv6b45wTAArcBzLgzaNCggetbwDDlUWfeOR+QCcAE4uI+ALN2YDl9j4k/IBYZkyiXc9AI5TxkjRxxuQC0JTiTP879UUR/RQA0pI6JAGjwgo0AaNZAoGCSzi8A1Xm60SzXU66p8oHC5ru1HDaXr364pW/dps3wXuqqe1BuAKjmZnb3rqytG9bZlN59bOHIEbZDT8rQkHlZNw9u1Flpfnq5MMHzigCol0hw73RPBECDk6fPiXEfAdDfzyGAR+AnafTSOdZ3zgRrWr2+Xdv4VNsqH4oZqMp9n/WvvAFQYF9paZ0v2rTG3p0+xMasXIjanluoszg9WsFpWAz6xW/WZebuU+Yo8soLAI1NjwJQmn+J9v550gr78de1duWJ1eyKFgo8lB7L8/eSjNXJnc/8mEsN0N2anzo+adEme76fAh4lp1kJacPedMvNLhI2QRdoC/NCYScW5bzy4gN0p4SDHHj1XrjMPpqVYm1qVLY/CoAmIDh9kZ38aF9eAChl4Im0eAb8fF3R3nstlc9PyessbaZe1Zg6/vjjAxtT1C/sdKADUMayb+NQack82uURS5oy2Y1xAh69+eafrN3p7d0cwPXLK0qRBA52CUQAtHBGAPMTL3w/AtPQnCTQDdp8QEu0CknskYCkaHiiKYrGHrCqvXw3+jmLeQ4zeoAjUdPZY2HCDYREmxCNRY7Nab3j64PmJzATgIZGJ5ATH6DUh/N5EXgHOMdxrBfQOgSWrlu3zt5++20HGgFyaD2iFennYo7FvyagDzCI2TWwEQBHnmiFAoB5kIjmJKb7HE/dkQPHAFwBhPiyJHo8mq20nzyBhUBN6nWyXJpQLufyDgwEquJH9aabbnLtin/wRf74yARGY+oOzEWeHMv5+OakLYBUykUb08sDGEzeyAStUmSGeX28LIGQHEP/IEvfH/wNrEYetAOZAV7RUn3nnXccHAbY0ma0ZH2bGBtAWq89DAim3bhFAGIzRvCzihYrYBnZk78/n+jvgGcgNC4DWBczXkjUrSinCICG1DsRAA1esBEADWMyyRsAZdLTzOe0fZbMmKbgR+OsrPynpMlfyXFnn2UV5VR7x3ZpA+1t4lM2eweguuFooi2uCXcLmp89e1qKosvv1I2MGzOTbk6an34EUmdeEQD1EgnunQ09N8TIBD44mZITl1kEQPec72Lws5gCxOyygQun2ISV861q2cOs+iEV7bKjWyoKvBaDOaIqJ9lcaYAyfe1QJ5TS2J63YZX9a8YwG7s6xZEwzN5fePEF5wfLLz6D6H2/oMwtAOXa24WzT8FI4OenY5fbZkXU2aiI7w0PP8SuFgDdJdN3/JZml8gjtz5Ad/tVVXmjZfb+2sBFNnJBmiUIft6jRfxDDz9ktWrGtENy2iBlV5cgPs8rAP0NfhazHguW2ODlq62yNIvrlS9ttx5bXwJWlyOkHFJeAGhM87O4JW/cZG/MmGV9lq9y2rrnaYPWVRsNNl1Bjqkcqh3YV2yGqPOBqAHKNcmYon0D5ffsuWefsXFJE3XN7LTmGdF4eQDLPbCYNvQcF6VIApEEzCIAWjijwO9v8MsIWAOW4dOyo+IhoMEIBCQB3P4jn5VAOeZsQCMvzL79vEVe+JAEnnr/jphV33zzzS6vww47zOXlj3f/ZPpFHqSNGzc6LUl8fwLrgH03CQJ6bVMgZ0/t6YBzRK/H/ybHYlGDeTUm/F9//bWbW1vKxQhAE4BH2rx5s/NBCWRECzReO5W2AW1p+4IFCxx8BWjysJqE1iLlosEJcCTSOpqPDRo0cIGM0GYk34suusi9E+jHJ9q2bNkyBwKpN/tPACE+PH3iPkjeH330kTMV935WqTvnozGJT1PkQLnIhDqT0PAE2AKzAZhoYnJvAVC+//77Tj64CQBsch7m9iRkieYq2qMTJkxwdQdi0mYPbIGqtJW24RLAJ+rE2PBm+R6wYoLvgSzjBjDK+AIm+4R7AjSK6RvyYDwha4AwYySnceLz2JfvEQANSfoRAA1esBEADWNxnXsA6m5smixLaHJbrJvsPGli1taTpHKVq9i8MaOtccczrKKe8KGdudeJT/fInACoitHOXD4/9TRt85rVNu37fk7zc5cmXAIscJPo1KlTjpqffgRSb14RAPUSCe6dbooAaHDy9Dkx/iMA+tt8h+YhIA++0G/eRJu9brm1q9PQNmzfqijwm+3yo1tbmgCoI5ReiFm+710DlDLStSAtrbln/obV9v6vI2y0YCuan2hAsDAPyuw9vorMUcybuQGgbnpk0SwYuUXQ839jl9maLel2davD7ecZa6yMNEKvP1lRQqVu+JsU40uL/e3yYX5UPjn5AHWan/gRVRj0cQs22As/pUjzM91pLtx2+23SDnnW0Pwk7Sv4Sdl5AaDAz9i2IwY/f1i0wm48qq6lpu+0Wes32n1NGlix2AFknW3KLQAFfpZQ/y6V9smL02ZZ32UrHPxkY4TWxP6m+ekFcqACUK5HxhN+WodI8/OJx5+w8ZMEP3XdAT9f0QPY9tKecps9hMHEEaVIApEEnAQiAFo4A8HPU2gkAqgAV4mJiTZixAj3kBYNRu7JQEU0+oBWnTt3dtqWmLN7UEU+vPAziRYh0c35DvNwIJ83p9/r3k7NJh/mSQIYAeLQSgXGca9DO5V5lYjzaEMuXbrUzaNoSQLZqCt1B/6hXdiwYUMXuAlp8rAJjUj2cvgYBdICejkWjVZfN8yxgZBouwIakQH7Ruo1c+ZM10b8WGJyj+YokJhyPSwEkBLUBzkAiOMTmpZEpgewAiaRD/UCOgM/8ZlKxHTKBZZSLvJr27atKx/NU+Am+ybaizIPZu74zgQmIgfqCUi8VWb/XpaAXmTZo0cPt/4kwJWXJXLGhyfl0U+ce+qppzp50J+UD1TFfB647TVWaRf50xfkTVR7tGj5G01WXCL07t3bnU+bWKOw7wYWcx6fcQ550w+cR1tIvi/cP0X0VwRAQ+qYCIAGL9gIgIaxwM4dAGWyQxumZOlStkgT8TxpYtbRZJjYrIWtXDDP5o4YaY11c6uop1MFBaAUJdUm5/NzqzQ/J/WQz88Mzc8mKvMNqf+318aDCZpJdm8TLXXnFQHQ4K9JuioCoCHIVYKNAGhsvtPV68zeARH95iXJf+dyRXtvao0q17bBi3+11akbAwWg+PwsK7P3hRtl9j5jiCWtSrGdxfH5+ZuGAnNO0KCPOYp89wZAuebYXOB2ZJtg3b9GLLFNW3fYta2qW00FPPpo6BIrX7qEXX9SDdsl6pbTXcPlxfyYAwBF85MX8DNpwUbr+iM+P9NUfklnvoVmh/cLFrRM8npl5RaAAi1hm7sk7+5zF1tf+fzsLPjZXkGPhqastOnrNtiDxzfwhDTHauQGgHqfn4vl8/OFKb/ajytXO/iJNgXwc3/y+ZlZGAcqAGUskYbIT9wjjzxqk6dNddcdAY/+LB9wBBrJ7Roks8yi/yMJHOgSiABo+D3s9mUqBg1ANBIxmcaUG9+SgDZeaEtyX8YEHH+QaHOi5Ve3bl33ud8/+X0SvkHREnzvvfecpiAR3NFY9AGD/PE5tc7nBSwEruFXlGjt1JM5k8R31OGKK65wkduPO+449x3nAiABk0BEtApLlSrl/Eyikch+g7kZEMoDadqL5QSf+7pxTwLOofUIGEYT1Ec9Rw5odWJiTtmAWc7j5cEr5fhgQf476uzlDbRFtmjTAj2ppy+bezmm4JieY8ZfrVo1B2iJTs/5PqI7WqrIAhN/+gsw+cknnzhXA+SBNixQ0ZeJvACNlIm2JwGgspIlvjsxcec7zsU0HaiKzHin//kcefHOi2BGyJv+8e2mvST8kuIrlaBZQGfk58sFplN/YCz5Al3j+yGWQ9H9HQHQkPomAqDBCzYCoDltZfMr770DUM2PSpowNaEu0dOzOcOGWq1Gje2IjCeLy+QTZf5YaYCeERAA3ak6aXLesn6tTe3TN6b5qcm/hTYez8oPTW41P71E/CQfAVAvkeDeGRrc8CIT+OBkSk5ccxEAlQsM/TDvs7jsP3+C/bp2mZ2TeKKivcv/kTTEhy2eaWsC1AClPMzekzetVcCjYTZyxXypNBZz0UQBVWh+khjzQSfmKdqZEwClTI6jTptk9t5t3HJbvWm7Xd/ycKsn+Ckeah+OXCoAKg3QAgJQoCdpp+bjYgKkYxfG4Oe4lHQrmVDSbr3lVntGmhf70uenq2Dcr9wAUIBlDG2Z9Vyw1PouXmF/qF/TzqhVXfe44vbzwuU2a8Mme0AaoBkqonEl/P7PvQFQDz+TN22xP82YbT0zfH6eoyAFL0mbGA0Q+n1fw+Pftyx3nxxwAFTjnjapUxz8fFwbwyRt4rkeCHj0uiBDu9NP3w0P/MY3d9KKjookcHBIIAKg4fezWwuoGDT1CK6DxiQgEU09IB3Bc/gcn5c8pEQbETgGtMp8z2HOIz/2SfiJxOSaB3Ro9XnrhLzMdb5u3JPxPYqWIub5aGeigQj8pC4EKKpcufLu+ZS6AvnQsMT0He1F7pHAv/Hjx9vy5csNU3w+a6b5GJPwzNCNsmnPypUrneYr2pPIA1BZp04dp1WKZinl0ib/4hjGLZAPWeG/k5S53bQJU3rqRLsoByjI+hBNVKAq7UT7koRWpF870ldoodI3mI3jLxOFHrQ5+RxgzJoK03nvS9Nlol9elpRLX1MGcNjLkjZxjl+fIgcALW1C5rTJm/TTJr7nBfSmPpzHMQ2k4ekTcsQNAn5NkSNwmHJJyJ4yqTtyRQaZZeXzKYrvEQANqVciABq8YNkIb9ueZl9Lbb6sLvqrOnSU2SPbi/ASZabq4v9KT0iaN2poLRo2sm1p29ziOKxSiVI8VxPSCE2sl3ToYBUUUS2ddmrCCj7lDEBdeZog0fZZ8ut0mztamp+6wdbXhE5Udnx0rtCTtvmYwJ/RqcAaoGpkDH5K83OKouglK1/v8xPHz6dr4+En2dxOtH6SjwBoGKMnAqDBSzUCoNt3pgtFMhtoztMfPyVPsZlrl9iZ9Y63xoKfwAj8Xw5fOisYAKon2ZhEl9Lcu3DjantP0d7jfX6++NKLblFLXwOqcjv35GVsME+Rb3YA1AFJuAzwU36W/zduha3evN2uBX5WVhRRmajvUBs+GrHUDg0CgEq+lOngpzQ/X5bZ+yhpfiYklLI7ZUqFmRULYOrtF9x5aW8Yx+4NgDKmnN9PybnH/MXWf9Fqu6xBDetYu7qVZExJtgOSV9jMgAAooLW48kwR/Hxt+kzrm+Hzk4iqBKzw8JN+D2NMhSHjzHmyQaLubLRwTbNF/sDZROHfLLdQF+0W/JqhdVRK64pu7/7TrrzzFreJzW0emeuVn/8Zy7SH8fyj3O501eZ7XNJ499lJ0vh8VTCgjUwZqVNY80B+6h2dE0mgqEkgAqCF1yPMW9z70Mhjf8T8xTzG/8A8vudzYJmfT/27v2dyDPM42oXAR0Ad2oC3ygybc/3xeWkVeZKoi68f7yTqSH3i7338DSzFHyUarfgFRRsVaMd53CdoE3XhXPLw5/MenyiT8nnnPM7nGM4BBvrz4tvl60g+Xo7xefq/fb7+eOpEfvEy5jteHEt5lOsTnwMVqVt8W3x+fJaVzDOXy/EkL0vfFt82vuMY2u/rF18Pvvd5ZncM35OoK+30deQz6ujl5MvkfX9JEQANqaciABq8YCMAGsbEkgMATYtFDyxRSlHtpk23eaNGWu3GTaxBq5ZuMmVCLKaIzJjAz9PTo4IC0G2bNkvrrZRtXrvGpkttf4HK26WJmydq+HjJq+anH4FM4LwiAOolEtw7t0ZuqJEGaHAyJSfWHAezBujWndutpOYW5NB/vnx+rl9hZ8vs/djKNQXlYgtb8OjwJcFogG5JT7OyJRNcwKP3Zw630SsWqgOK22Xyy/S8/EAdc8wxbs7zC8xgezuWG3MUi8esAGhp1WXHDqK94/Nzh3x+rrANW9PtyubVra7gZzHBT9J23SKCAKDly5TcXd4Ywc9XBD8xey+mB2F3yFzrKW2QcKRPnTMvqGOt2Te/WZzzyioK/E59jrYmkiLgUf/FK+1yaX52kOZnKckVTddd2ngMSF4eCABFQ7mExvASabS8Ip+ffTJ8fp4tczE0PzHbYzztTxuGrHo1tg7Y/wEoY9m1RY0cIn9qmAtOkDbODq1zmuuB72vS/PQPYJHD/t5vWfVl9FnhSoAxRzoQx1IEQAt/LPk1BCVnHlv8zyure44/Fs1CFE1++OEHZ5beVWsftAtJ+R2jvlzeycO//Of+f+ZePkPL8GXdHzERv1XwlQeFRGr351N//vb3HX++q2SmXz5P32Z/Hof5z+JP2dv3mY/1dfKfUx6JvEl8T4qvI5/5z31b/DHx38Wf4zLRr+y+95/n5RyfJ+/+fP7OKQ+O89/zzv++H3ybyWN/SREADamnIgAavGAjAFqIAFSbtB0CoCVKJ9gSAh6NGm21mhwnn5/N3QToJj20szQJFhiANjnB6rVorvLSLXX9Opvc8ztLkcr+Dj25xEQCcww2HjxFIzHx5iX5yT0CoHmRWu6O5fYeAdDcySovR7FuOlgBaItqetqvhWQJLSJ/cAGPlsnn5wnWuApm7x5+xqQZBACtXb6q4ZVq4Wb5/Jw+xMbJ5ydT20UXXugCnYQR8CirseAXl1kCUBab0iTctn2n/XvkEtu4bYddJ81PDz/dnKhBk6Z6BwFAy5WStoLW8Ekpm6zrD7/5/LznnnucP7Ci4vMzsxxzAqCMKbYn3ecusj6LlttNR9ez02tUldZvLBeuuZ0acwUFoDceWdsaVargMl0sbcgXps60H1fEor2fK83P17TB3J99fmaWud8A7c8aoLs3cmrc4IG/OH9oE6dOcZu7FtJmfeutt1zAipL5XINklln0/8ElAa4Rxlg8dOEzf+3Ef36gSCYCoIXbk4wvn/weic/853zmP+c4Pud+iSk10BFfoYP04AcNUB74os1/tty0cE4QcCu+LpSfuT5cCyT8TFI2PjzxL07AIF++bwvHZT6fz7JKeys3/pzM+cd/l9Xfe8s7p/ziz/Vtyen4+PLjz+Vzf378Mf7v3OSZm2PIL6ty+Zzy98cUAdCQei0CoMELNgKgYUwy2WiACoAy2S2ZIbN3RQ6sc1wTS5RPkmLaIO5MlymBNuMxG9WCAdAJX39jtQimJPOyDYpgN7VvH/n8jGl+niANmRdlgpZfzU8/Av2kHQFQL5Hg3iMAGpws43NiLXswAtCnm59jJ1dvYGkytem/cIqivS+1s+or4FGVWrYjTvPTy6qgAPTSo1vasVVqKLDSSvvnzGE2asUCgT9Fe7/oIqel5x3k+wW4LzeMd+YpFpJ7AtAEG3hXE7l8KW4bU9Pt86QVtlI+P69rWV0+P8s6zU+3+FWFOL+gAHTQzHXWpUNdq1CupI1VtPeX+sc0P3GBgqP+p59+Rpqf+z7ae3byzwxAK5cpbX9r2sTOrF1TLhN2WE9pd36vgEd/SKxpHdH8dPcxyV0Zsv0KAoBeJwB6fJXDLGXjJnsDn5/S/EzX5u5A8fmZWfYe4uyvAJTrxrdhyC8Dpfn5hCVJE8r5/BT8BFifrsi6+CXPaaOZWS7R/5EEkABzEmOMe0jm+wifk/ZXgOAqn82vCIBmI5gi8LEfd/jb/Pjjj53JOa5LiGqOxucDDzxgN954o4uAXlhzHnXCxLpbt27OfQp+MIlqf/XVV7vrpyhZmhSBLoyqEIAEIgAagBCzyiICoFlJpWCfRQC0cABoU/ldaXTO2bZIzrPnyednTUWka9C8hXx+lvwNftKVrN20YS+IBuiE7l9bHTmyrnrkEZb05VeWMnbMbp+fON/uqCh4+BgpyE2YGyuvCIAW7PrL6uwIgGYllYJ/xr7oYAOgh5U6xJ5vcZ61rFLP+i6Y6Hx+nl1P8LNqrZjPT4TiUNVv8s03AFUwpd5zJtg1jU52PiH/NnWQjVuzyGUP/HxZc09haX761jBHMc/FA9BjqifYkAeOt+3pu+zTMUvl8zNd0d5jPj8xe3fzYkYGnF8gADprrQ2atc6ePrO+TVm+WfAz2UYuSLdSsgK44447pPn5SJGJ9u5llvk9MwCtVLq0/b35CdZJsPNvk+fY7I1b7IK61e2M2odbqWKMJ3V57C0QAPrm1Ll25zH1HbB+WdHevc9PzN4ZUweCz8/MMvfwcH8EoFwzaAajBDxYkW6feuppGzchyW3E25xyivMBenr79k4bnYe/XG9RiiSQVwngX89HTyYaNeNu1qxZ9vPPP7ugJURRJqq1vwfkNf+ieHwEQItir8TqxDgj4Yfyiy++cGbvwFACKF111VV2/vnnW5UqVdwxhTXnUSeuESKSE7mdAETUhTrxXeaHB65y0a9IAgWQwD4HoE/LwW3NOnUtPcNJawHaku2pXDz9xo+zybPn2AOXXWrlypZ1ARSyPSGALwha03fkKEsQvLngFG2yMhbZAWSdRRaxjdCS1avtS5nvdBBQaq3IXFs1mYQ5ecm9lY2a/quNEii7SdHiKlcor4VjzNFwFpUs+Edae26TWfa3Q4dYGfmKvEoL0zQ9XQ01qcytBEHSQqX5sQRBCl+uxeXvbV7KIhs5ZbJdpDa6IEihyTU2dvp89ZW9/uSTlqCASyde/geroIhusyXnOoq0l9hCmp+Sg9/o7JY3Yzq/AFSnbt+aapN69rRKKmvT8hU2a+AA0wByvtGef/55Y1FYUPhJXbn+ef0GQJPsqnMuslcefEwbm5iz8DCuE3/JJ33XQ+B4u516w02WtmmT06KlXmGlVPlSHf7Rf6x+i5bWqGNbyXlbaPMAbWS8JidNssl9+ln7++6y8tJ+2rld12UIm0XK2yVNwITSZWz0p1/Y1tSt1vbmzi4YV1jyVIHyfVjcUtdttGEff2FHndbajjq1ZbhyVZkA0IVjJ9m0X4Za21uvs0MrV7RdhPkOQa7Izi0yS5awMZ9+Z1vXbrDT7r4uNla5eYWw75dRoAMLn/X+1rr8+RWrXPoQe7rZ2bZu8wabvmaxfH6eIJ+f2cNP6pwfAMpCeubqZfbj/EnWstZRNmDZLBu8fE6G5ufF9uKLLxaKz0/qH5+QP/OQB6A9evSwxjVLWe/bG9nX0vxcs0U+P0+sZvWq7qn56fPg/IIA0IEz19io+RvttCMq2LvDltqwefj8LGF33nmnPfnkE9L8rOGKKsobkcwAtLJgw/+1OEFroZ3WJ2WFXeTgZzVL0PVcTOM6flgXVAN06ZZUe2f6AsHVqvb9sqX2zeLltk1w7awzz3TwE5+f9G9Rlp8fS3l59+uC/Q2Acr04+Kk+GSrTzyefeNLBTz4jau+f5XrnNAU8wuzdjZOQ5t28yDo6dv+TwIIFC+ybb75x1/61117rfCfTCuZ31rlEwcbHPQ9H3D1Y96cDIUUAtOj3InM3Eb3nzp3rNJXx640GKNHSuVeFsS/KSSrUBy3UtWvXWllxGqK0E+woSpEEwpDAPgegz/z5L1a7Xt3dUarCaCSRqr8fCwCdbQ9efpkdekg5B3P2WP0GXPAOAas+I0ZYSW0gLmrTxmQEEXAJ8dnp6Yh+Fq9aZZ8PGGAdmzezkxo3Dh+ASoCjp0+34fIfcst551mVihVtu8BvWJOm0wAV1O0+eJCLAn91xzNsm8BSWOUhYRa+RIH/8sf+1lwybalI8GGDZXzfzU2ORYG/uGMHq6jxGppc3aa7uPXiKaA2uSW1YayhjVqpChWtxjFHW6I0P9kEE0Did3JmSOsmmR8NUBZ6u5Rn0rff2Er5oNm2bp2lyQfN8TKHJ+rfaaedtkekPvoiv8mVpfJ+A6AT7Opz5N/vj084AEPwi6D3NvFX+/hvvpX8tlubGwVAN2+JuQ/Ib2P2ch7lblXE4WH//sgSW7ayRmecLlC3VWXu5cR8fO3aqF8lBM2Sx0+0ib36WYcH7o4BUM1/Ycyv6ka3SSilBdqoTz6PAdBbr3fmrfloQu5OUZm4fEhdt8mGffSZHdX2JDu6TWtLQ67xBCV3ueXqKDFeAVAFlxo72aYNGGxtb79Bcq0gkA4AzVUWeT6I64S+HP1JD0tds9Ha3tc5NlZDAKCMHcrj/vhpz2+sy5svW8WEMta2aj0rJ3Prjor2fpyivRNIhj7PLuUHgDKPpWxYbR9PG2aLtm+2lK3rLV0Cv+CCCwyt88IIeJRVe5AHdQOA3nzzzW6DXL9ySbuhZWXdg3bada21OamkjYkDd9wN90ycn18AukPzw6j5G+z/hiyyFZt32NRlCrikh0NF3efnnhKImZsCQQmi8LKCJxym+9nZVavpuVoxu7tRfWtY8VArrfur7j67NT99HvkGoMqAIbpOD2efSvrVZqVutHmpWyxVQavw+fnKq686LRb69kCDn8hufwSgXCu+3kOk+Um048l6kA/8xOcnUYhPOfVU9wCWNv5u7cOHUYokkIMEGGOkzz77zM1HreRCiodrACbG00i5esL8uGbNmnbLLbdYYmKiG5P+PsBcwRhlPiP5+cObAvuHPe5L/eJzzslqrJInx5OfTzkd748pyHsEQAsivcI7lzHhx4UfY5Se1TgqjFoxVv21cyDeLwtDhlEZuZPAPgWgTXVDeOHtv1ot3RDSwwBZ3H+0SwBw9JFp7cRfZ9kjV15h5Q4p60zqMm8gcieyvRyVUeZ2AYBew4dL06CEXdz2tN0X9F7OzvvXsXsss5UDoJ9KffzMli3slEYCoNtD0gCNK3PEtGk2bNJku+NCqcwLgKbrJhvexEkQiDRpuQ6UBmhp63xmJwFQgGvexZb7MwQ+BEA/U1S8lsc1tlYNG7k6hNLGDLmWKFncZi9ItmHyQ3WZtEcqaryGIteM8oA73332ub382KMOdlasV98an3eu1VfAI/xe7fb5mVlonC/h5xWA7tL1SL6bV6+0Uf/9xFZMnybwUtKaSeuCJ+E43kbzkxSEnP0N1QHQa661iRMEQM+/xN7o8oxbMGorpGkivEE0+uvu0ohMs3a33l5IGqCbbPA/PrAjTmptjc/sEAOgIV0kDAH6kijwE77rZZ0eus/KV61sO6QBGkTfuUGQ6RcaoCUFQEf+p5tt3bzV2t1xiyb52CYh06GB/Ms+JgZAN9jg9z+1o9ufbMeednLIctU1omtgweiJNvWngdb+rlvs0CoVY9diWH2phhYXAB35n+7SAN1op99/UwyAIoAQEhCquCDbJ999ZX98vaslaPPWpnI9u/bo1vLLWVv3aB/wKPtrM68AlAeRpQVYJyxfYK9P7G/LBUBL6P8LFfDopZdf2mfwE/EyT3HN7Aag3/awimVL2B0nV7KrFe29fjaan75rOD+vABQt3B2aj3eVLGbdx6+0J3svsS3bBaaldXGLIOyzCkaALy7y9htvX15RfPdQAABK9NhS6tuWh1a0+45tYB1rV3fBrhyuzGJI5weAkg0zDxu1mdIQv2vsBJupB3m71I8Huuan7382z4zbQDVA//4vu/KOm93GPOhNMGPZ13mQFAaeeeZZGysLMXx+Nhf8JApyO/n8DHIN4mUVvR88EvDz+UcffaQx9oydKyu51157zapVq+aEgMnxmjVr3DjD3NgH+eQ8kodS8ePff+YO0K+svuOz+LUXcyJ5Zv6cvPzn8fn4vAv6HgHQgkqwcM5nDMSPq8zjpHBq8Vsp1IcXiXEcP5Z/Oyr6K5JAwSWwzwDoq3oqXvOoo6zTzbdYxSraMDuNoew3Ovltqq4fXUxm8xVgZbW0zJpJqy1Bi2IWO2ElygS6zlmyxGm4HKEnfP6CDqNMJzX92iQnxjOlOVhXauw1dUMFmoWVaKOmJ1u8cqUtW73GmhyRaGVKlQ5XriqRJ/QzF6U40+VG9eq5/8NqY6yFssqWHGcuXGjVpI5fQ3JlQRFWQqxM+Os2brRFMk04un59Ky0QEu54LWbThw+zAXI+zcb3mE6drOmll7kFEzfGbG9AXEKqa24BqLvkBDUIqLFl3Rqb0qu3JY8Z7Xx+Yh5ItPc20pb2Jg/ZlptH4fsbKgD0mmuusQljx1vHY5vY7W3OshKqPxDA+4HLY9Y5H55xjSz7dY40FNOt1glNbJc0mJFZmCl9e7otnjjNKtSobpUT6zhN29DKcwO2uG1YusJWzZ1vdVo0tdJly8Q2mCEV6sBZyQRbNnmGHpylW50T5SNI4zTUpIcE6VvTbPGkmXZYncOtUt0a7p4Vak/KTHfDkpW2euEiq9O0kSUI+qqhoTaTAEDLp86zdD30qd2sEVN87AYaQqm7dNEVtxLWf8YEe2/oD3ZIyVL2cJMOdm7d4y1N14sDVXt5MJFbAMolt0MTUCkB1wUbV9u70wbbBHx+qr2FHe09O1EyTzHneRP4b2UiWb9SSfv2lmMsUfBTaqru++zGHOfnBYAy7/EwSpOgjV240Z77MdnGJqdbmdIl7bbbblck7MeLvM/PzLL0APQVAdAXBUDLaZ54rOFRdvvRDSxB7SVlN9fnB4AySotrDC2SZv+r02dbX82DabpGzxPs6Cptr6Yya6VPwwAMrjFF4JdfIwQFQBPUZx/96a/W+eF73H0kSNlxjTBG6JNf+v9sTz39lE2UqyHWla1btjT2JacJfgL7OYZXlCIJ5FcCRNZ+55137K9//auzanr88cetvtb0mPZulQXJMu1LWe/WqFHD8A1KIJrly5e7+QLNUP4nGvZquTfjnAYNGliFChVcdTh/gczryaN8+fLOZyLHkPw1E79XIV9MnckTf6PkValSpd17U3+OyyCAXxEADUCIURaRBCIJhCaBfQdA9SSs9tFH2zlS/T+sWnVtJoM3nWaj7JLeZgtGrlyz1lrJhLm0fPoAlMJZ2sTKZF8xMyVZe4sSdqxM/Fl4hZXIWWtw26Ab29R58y2xRk2rU72q4EB4Wlh+c5oiALp4xUprevRRdogiru6U2VeYi0Zg5PTkhQ4sN0lMdKA5LLmSL7LdIbP+qVqE1KxcxWpVC1euDu7IXnnN+vWWsmK5NVQbS2uB5My0A2+oSlMD0W6bMnSo/fif/wiylLUT//AHayjt2vRtci/AwMouIRxtEHIDQN3w1yYDrbbNa9fYtL59beGoWLR3tC54Qh605qevNtcer5gG6DWWNG68ndG4qd3V7lyq774LY5+zaxeyK2bL5CcXQFen2QnSjEQr29csjHeBurR0Sxk3ySrWqmFVjqzv/I+GVSZt5Hpfv2S5rZg1x+qf1MJKH1ImBiRDaidjCYi+RJAXAFpPPv527QrvoQR9SErflmYp46dZpfq1rXI9+aaUW4OwEnLFt+q6lOW2av5Cq9/yBEsoq+AJgN7Q5AqoKSa5zhLs3Wp1Tzo+o3lc6MEm+pA2llB5/acn2bsD+lil0uWsa/PzrIXM4LcJgGpk7bXQ3AJQGf9ZGY2ZeetX20ezRtjwlfM1txW3iy++2F544YV9qvnpG8kcxbUUD0Ab1ihlQ+5rYiX1Od9Lt8cf/rt3vs8tAAV+unuKrA1Gz19vr/y8yMYkM9/j8/OO/RJ+IpB4AIoGKD5A/97ieDtTc6GeZP5OZvEf5BWAevi5RL4/X1LAo34rVgnc77ROstoApOHTr7j6jXF2IKdwAOjfBEDvDhSAcn14TSd8fj4hwD9+0iTtBXY665M33njD2p1+utPIC3MNeyCPhahtMQkwDwHRv5Jv/YcffthWyT1ZuXLlnDb9RQqy98c//tFmzJhh7733njOJx9UIQfeAhu+//747rkWLFtZTPvKHy5IQ2IkmPq6hrr/+egdNP/jgAxsgDWZ8JgI+TzrpJLvhhhuc9jK1YLyT5syZ4+rRv39/mzdvnsuL41E6IML2OXLTEYbPxwiAOvFHvyIJRBIoohLYZwD0NZmZNNEE/4TeaykIElHygl90cANg47DT+svsdcrsuXbvxRfFTOAhlCGmHTLJ/N4FQUqw8045yW02QizOyW7pmtXWfdBgO103tlbHHiNflWHI9LdW0F9jZxIEaZrdcPZZVklPJsOErirOBUHqMWyYTOAT7IoOCoIkbbdQU0aZX2uh0UzOytEgDleuBAYpYfMWL7bR8q16QfvTrXzZQ0LSOo0BUJ789u3e3f78zNOCLIdI+/NSa6j+3CHZ5nhNustr7wCUdVgxXYPAz1T5t5v8XU9pfo6yHQJK+Px0Gw9pXWACRHk5lpmPzmYhyOs3H6BJdsVZF9hL9z8S0wDVpjXoMndXUzA7SYvYnelpdkrnGzJM4LOHGLvPy+8fkt82aSON+Lib1ZP/1obtT7U0BQrKEWTntyydxxDAhDh54hSb0vcHO/3u212wnjAeaPlq0pdoQ4797CtLVdtOu/Fawcic4YY/N3/vQAy5wli/0Ub+tw5Bm/EAAEAASURBVLsdcVorO+qk5oUi14VJU+3XQUPstJuvtXKV8AGqdjIRhpCQawlpX437vJelKgjSqXdcHRs33CtDKDI2dkrYZ32+s8feftUqKQr8M83PtdbVEuX7k3l974XmBoAC+4Cf8+X38/+mD7Hxa1Nkomx2wfkXOJPEwo72nl3XIX/mocwA9Jd7jpPZviDaXrqB83MDQOPhZ1KyND/7SfMzJc09VLjrrrvs0Ucfk+ZnTVfNoLWCsmt7UJ9nBqCV9FD23ROb2Nm11Z69zBF5AaAOfqqvUqTh9dr0WdZn6Urbrg4CJuBHtkmTJq4v9zf55acfggagpbQO+OSdf9pVcvtB3kHIkGvDw0+ivT+uMT5x6hS3rmqqNcjbb71lbRTwCFc8YaxB8iPX6Jz9VwJ+3I5QHIinn37agU18f2LhhHsFIOhAufLiu0aNGrmHcDwwISo8gZGWSGHn0EMPdWvi1q1bu/0xeRGw5uSTT3aCAWYCPQkWM2rUKJutGBdXXnmlUyZITEx0x6DxCWTFDymm9201xtH6JAL96NGjHTgFxhKcKWiXDxEA3X/Hb1TzSAIHgwT2KQDFB+hzb71ttevWCSUKvNY8bg+FmVffsWNt0qzZ9sc/XC4Aeoh76rv37VXeh0CsTGlhSWuw17CYD9BLdNPhKXMYyZWnjNE0IAjSZz8rCFLL5naybqoE6+HzoJOXKwvFkYKfwydPsdvkA7SyAuegLRkGTKIr6Ux8gHbX0/uyCaXsmk5nWBqaw0E3MCM/XyZy/EI+QJs3biQNYvkA1f+htDFWoHtyPEfaw8MnTrJLzzjDRYEPQ65+7NCWnl98bq/KPAcAeoIAaCP54dyxt4cS7vrKBQDV9Yc2W6q0Wqf16WPzR46QT8ztdoI2Hiz22DR6/0fhyDUzAJUP0PMutte6POk0tHlAog4NYRQ5AdnYr7922oKn3XSrgiAVThT4of/6wBJbn2SNO7Wz7amKAp+TJm8BW84GdaGCIE3o1cfOeEA+QKtUUnuFCEKRaUyzIUGaXSP/+z9L3bLVTr/tJgHuEAGoLhQ047as22BD/x3zAXoMQZDClKuGDg8M5o+baNN++sXa33GjwPJhMdAbklwlRAfBRn7ytW1dvcHaPXCD7h+xgDEFHCLZnK7yZCHRrefX9sc3ujoN0GebnWOtAgSgwD7M3hdtXmv/mDHMRq6Q5qfmogsvuEgmyl2tUcOGrm5Fwb9lVgD0WGmADhIALaM6M1/nNEvlBoDuhp8ZZu8v90+2UdL8ZPN766232dPSxCcSLHkVBZlkM3Cy/bgwAGi6u06KO7P312X23mvZCgH7nXaG7tVofhJBnLQ/yi9bwebwRRgAtNu7/7Qr7wwGgO4BPwWdnlK09/GTJjorsObqKzTAz9R6h/5i/RHGGiQH8UVfHaASYNxhofKvf/3LPRTp0KGDG2u1a9d25u69evVyPu+PliUkPouPO+44+0VwvmvXrk7rE1DapUsXBznJp7uUFDClX7RokbWUu4a7777bzTnM3WiCvv322648/Ohj2YBmKP5H8TtKpHnyOlWBvdD2RCP1CwU+RYu0oe6BnANMJQXxwIF8IgCKFKIUSSCSQFGVwD4FoCdoEn9GEZ9r1q2niRttxTDEJB9/AjD9xo2VBugcu/+yS628AOgOQY9QilMTtF12mpB9fRT409qEBkCRGBujGABdrQBBv1iH5idaawXrIQhSiNxDrSxuoxQFfgRR4M8/TwBUGqDSsginH2mpAKi0Wr8ZMkRR4BPsyg4dLU1mqGH1IyVSJkGQvur/kzWT+4SWu4Mgxb4N/Dd9qQ373JRYFPhLtGiqUO6Q0OTqx06vL760N556MnAAuksuEQA5W9aujvn8VDCyXYKfzZo1cxEx27dvH5rmp+8bFqK84jVArzrnInvloccFQBVp080FIYwiZYmZ7/jvFAVe81ubG4gCLwCqMsNMW6WVNOyD/1g9PWBq3OE0BesRAA3potRwFTRTFPikiTapj6LA33fXb1HgQ7oy6csEaXaN7va5AOg2a3trZ/k5DecBk+8nrwE67KPP7UiiwJ/SMly5SrAlSslf5dhJNn3gEGt3W2c7tBJBkMKC9YxVAUlFnh/TrYdtXbPBTru3c2ys6vMwkq5Kp+3+ae9v7ZE/v+Q0QJ+VBmgQAJTh7n1+ztuwyv716zAbt1qan7r0Lr7wIntZWnpe87OoQA/kT13iNUCDBKDx8HOMIr5j9j5aPj8TSifI7P1OmWV2cT4/qcf+Cu+yAqB/b9bEzkKjNQANUKf5qUVVirTs3xD87CP4uU3w0/n8FEjDrNSPp7Dm3DCuxYLkWZQBKGMZ/57c3QdJOeApadwlAT/1GT4/XxawRisOiOT7rSCyiM6NJOAl4OdzICOA8Uy5xsDPPQ+YSD3k4xkN0GOOOcY9OAGADpJyB0oB+P185JFHDI185mLyQssTWJ+UlGQPPPCA+x6YyXf4AgV0AlCffPJJu/32222CrB4Bq1OnTpVW/6O7TecZ54x/znlT+29A7IMPPuheQfrfjwCoHwnReySBSAJFUQJFAID+2WopmE26YJ1WIKHIiBtEv7HjbLJMBB68/DIrJy23sDQyfQMwBe8rTbeSMr27qM2pbjPmvwv+HU2a4k4D9IsBANBmdpLTAA0PfNAGbqSjHQCdarec5wFoeJpfejbvNEC/HjxYALSUXeUAKFuS8BJlAkC//Km/NRf8bOk0QLeFNlZpSQlp1M1NWWQjJk+yS9TGCgL2aBSHc32w6S5uvQVAX3/yiUABKP4KS5YuZZtWrXY+PxeMGO40PzF7xz8bC0IWXH6hGFYvkj+v3wDoBLvqnAvt1YefcE+70RAPeuqJR0bjvxUAFaiPAdAtoWpjUu7WTQDQj+U3UgD0DGmAOgAavHR9Gx0AVRT4ib37WccH7o5pgG7HVDucMumvUlr4j+r2mdMAbXfrDfKNGaYGqJriTOA32dAPP7Oj2gmAntoqXLlKuCUEIwGg0wYIgN5+vZWv7AFo8HIlR66REooCPyoDgLa99/rYWJW8g+5Lxo4rT5u7//X8xroEDEBjPj8TXMCjf8wYamNWJbu2YHrIJhKNGO5fQWm7BNEjyIM6hQFAd8PPhOI2XgGPXlTAo9ELZcmg9cnd2mQ//sQT+7Xmp5d/mACUlQY+a5fqocvzk6fbjytXOfiJ5idgA7N3xhN9eDClogpAWX/syLi3D9Oa8TFBoKTJkx38OV599Ze//GW3z0/662Drt4NpjO6Ltvr5HJ+eQE3mCdw9EdyI9N133/0OgA7WOOVYfH4+99xzzi8+cxoQdPz48U5pAFN3wGnnzp3dWGbcLpbLrNflTq53795GoKX77rvP+srPPr71+R5tUXztp2EVqDmKxN9A2P/+97/OdJ77IsGRSP4Y908+f0UANJ+Ci06LJBBJoFAkUHQAqHzkBb7LysiRG9H3BzQAjWmALpFZw+cDfrGOAqCtQwZ1LPG5scY0QA98APrVTz9Zc2mAtkADNC1sAJpJAzRkAAo87/3ll/aaNsFBmcBLuUuanyVs8xqivfeyFGl+7tSCCz9HPKlun6H5ySwX9saD659XVgAU2OyCgYSwZwXykMZ/20MANM3a3HizfIBuDhWAUl7qpi0CoB+FDkApizayOF9YSADUlam+TChdyABUJsj4AB36QfgANNZGAGhJAVCZwBcaAFWZBMURAE2VBmiYAJQ2orPL9fe/XgKgbwahARp7GEaAwzLyZTp3w0p7b/pQS1qD5mcxu1jwE40Yr/kZxCaPdgSV/IY5SAC6U5HjuUhd0Ef17TjBzxd++M3n5z333utMI/2mvKjJJK+yDQuAMrKwsklRoEln9r50uXuofZ4e/BJt3vv85F4W9v0srzIJ+/iiCEC5lqgXaZD8Kj6htc1EacLx2Unyqfi6QNQpp5wSuN/DsGUd5b//SMDP514DtFOnTg6AEvGdlBMAZR4DSJ6uoFw+HwAon+EfFI3SSy65ZPd3KbIYA4CizQkAvVfzOn4/AaBEia9YsaIzu/fXBPM8fxOlfuPGjXap3F7hvoN7IymI+0AEQJ0oo1+RBCIJFFEJRAA0pI4pXA3QCICG1I1SfMowgY8A6O9FDP3Shm/PKPCHKwr5dhdMIHXdWpugKJiLJ8rkTGbvxwt+viD/RkR7D9PnZ+aKsoDkFQHQzJIp+P8RAC24DLPKQcM1AqC5UDvdMwhSuqBqzOfn4i3r7L1pQ2zEynl64FDCzj//fLfBw9wQQBXEBi+rfivIZ36jGygA3S4QpMFUTD4/gZ/4/Bwpn58ELrvtttvsGW2kiS5MKooyyas8wwCgDn4KGCx2AY/29PkJdOChXlEdU3mVX36OB6TQ/oULFzqttS2CxGibAR1zO6YIgvrQQw+5gC0EQSqID1CuI1cnNWaoNOqeeOJxG5c0wV0HzeV650+Cn6fJvyIP7qg3ryhFEghaAn4+DxKAvvjii7Z06VJ3nV1wwQVuXcs1hl9QFAsAoFx3RJXv1q2bA6UESUL7lHkeX6J+vFM/zuWFRQQWWV4D1B9TEJlEALQg0ovOjSQQSSBsCUQANCQJRwA0eMECIwmCtC9M4CMN0Cz6MwsAWoEAGvLHmLoOzc/eljxqpMyTdzqfny9J++r0EKO9Z1FD9xELPV4RAM1OQvn/PAKg+ZddTmdquEYANBcAdNiSmbZ262a7/OjWtkVa1mUFO+co2vv7M4fb+FUxn5+XKCDEC9o4EmyCBPgoislvmIMCoJ1b19DDKHwwy1VNhs/PMSny+SnN4jvk87NLl0eMgBx+I1wUZZLXOgUNQHG56zQ/BT9fnzHH+i5f6czeL5DmJwGjAH2kojqm8iq//BxflAAoY5kxAMD5RYFhnhPgHyufidTxFEXPfknzAPDTg58gQE9+ZBadc+BLwM/nHoACIXlgUqtWLdf4/GiAegCKBuiFF164e+7ODEAxgSd/jsPnKJqgreQTPqvENcD8hTsqrougUgRAg5JklE8kgUgCYUggAqBhSFV5RgA0eMFGADQMTYWY/9iCm8CPskYdOlnlurVtk3yjTSXau3x+EvAo3udnYWp++hHIQpRXBEC9RIJ7jwBocLKMzykCoOjd7X2+G750pq1O3WyXHtXSBfxL3rhG0d6H2qhVC6X5WdyZvQM/0fwkFWVQ5TfMgQDQUsXtWgFQRDhBmp/P/7BQAY+2K2CZ4Ocdd9hTTz21OxhHkJteJ+R9+CtIAHrvcQ0kPvn8TE21rpNnWL+Vq120d6I5E40ZrSk/ng5mkFZUACjXD3UhDRs8xB59pItNUIBOPmsqLV2iZJ/apo3rM/rrYO6zfXiJHjRF+/ncA1Asn15R8L1q1aq5MdizZ89sfYAyj2VlAp8bAIoJ/P33329Dhw51/kQxmScw0vXXX+80QLkemLe2KbYBfkIHKfDSWWedZbjz8EGVgrg2IgB60Az1qKGRBPZLCUQANKRuiwBo8IJlMxJpgAYt14AA6MhR1uScs62UzG0mdO8un59jbZu0ZtpJ24LFV8eOHfdZpFUWorwiABr02Il8gIZlPRkB0FwCUGmArhIAvbbhKTZz3bLdPj93ZuHzs6hDD79hLigA/XDEEiunAFqdT61p4+ZtsJcU8GhUcpo2vTH4ScCjA8XnZ+YZLQgAOvD/2TsPAKmK5P+XsGRBgigqUVAREQURMyZUQMEc/3qYw3meOesp5nB66pn1p545YlbAAwQEJQgKgorkIDmHhV1g/vXppfYew7LsLjOzM7vV8PbNvOn47X7d1d+urp4+V8apvd+r2zSXGcvzND8/mz1P1sbWS5fOneUuNePSVrdSW3tKBFkQX45M+p4OBCjvjpGfA/v1D9uAR+shkph/6KCab9g3PFRPe4f4sXrLJIw9r5mHgPXn77zzTtDARFscG9RmhgUNTTQz+c7zVq1ayaBBg+Ru7V9oy9wP0zZr8XCqO6SobYHHrAu/sYAVfwgSW+Dnzp0bDvp64YUXwvZ25PD99tsvH0iITwhVToPnFHjshmZlZSVsYcAJ0Hyo/YMj4AikIQJOgCapUpwATTywToBuWSOq+KhvPQE6b/IkmTJyuDTfv4PMVFtbfwzojwq07KUnrT7z9NPSvn37lJz2vrmyIyRyOQG6OYRK/tw1QEuOXWEhtbn6FnjUFwtxkM+DZv4mK3LXyAENWsjjv/TX096nqL3LitLthG5yn2rbsO0dwiMTtBxtoru1BOjLQ/6U7WtUkt13rC53fInmZx75eUlE85O0THuxEIgz7qdEEKDfTJ8nM1auks5NdpAHxk2QL+bMC5qfx+ohJvernb3ybvMzvlGUNgFKWzbyc7CSOrfeeovb/IyvJP9eKgjQLjmZHaJzkR4Iuu+++wZlgFNPPVVGqWkGNPEhQNEMZafUgAEDAvFJZjkNPnoI0siRIwNhCbFJfNEt8Mi2dgo8NkDZAk/aw4YNC+QqxOo+++wT4mMLPlqh/dRExOTJk+W0006Tm266SZo2bRowStSCjhOgAU7/4wg4AmmKgBOgSaoYJ0ATD6wToIUTAiVDfGsI0DxiccG0qTL+v/1E9JT3RZMmSq5qfiJs3aun42JYnVVlm9yXLI9bF4q0uZwA3TocCwrtBGhBqGz9M22uToBugQBdpxp538+eKD/OmyrLY+tk8LzJGGyUqM3PTCE/aTHWR5aEAOU9RNstd31MXh8xR36atVIWrFonAybmSKXKeQce3XjjTcH+HOmURfITDLeGAF0HhkqWD5y5QL76c67kZK0TND/X6HbUeM3PTCDUwSMVrjQJUNoydc57PkBlkLv+8Q8ZPurHQP6g+YkMcvgRR7jmZyoagqexCQK8G8idL774ovznP/+RBQsWBAIU25yLFy8OhGbz5s3DoUYtW7aUIUOGhDZLm75bNUAPOuig0JZp32PGjAlkphGgyNa0f/oiCE1MPPTt2zccJnbhhReGvLDNndPjSbt3796ycOHCfHm8SZMmcvrpp4cLEpZ4EkV+krgToJs0B3/gCDgCaYSAE6BJqgwnQBMPrBOg6UOAqtylM3a1JaQnts6bNEl+ePVVWTVvLrN4ab3XXkGww+YR5GdpTxYRErmcAE38O+kEaOIxJUber4p6WM3UET/JuH6DpOMl50nNutvJek5lSUY3YGlmVZBhb3ws2YuWyWFXnqd2NDUxJdWSkSbW+irqpOutzz6S6x+9V+pUri53tusi+9dvqkRe4Vvg7bT3AaoB+vS4gbJ0fa7E9PyG7nowBJqfLVq0yBjNT+obRx/FBLQkBCh4QICu1wOPnuo3U57+bqGsytVI9VCoy/TAI7SCGjRQm6A8UszLqtsaAnQtL52OV/1mzJGrR42VVRXWK/m5Xjqp5udjjz2Wb/MzkSRBWaiH0iJAeV9IG/eDEkdX/f1q+WXcL7JOn6Gl+6QSQgepzU9kEJzXW4DB/6QYAfokCMrffvtNlixZEmyAou3J8wkTJkj16tVD31KjRo1Aiv7++++hXe+5555Su3bt/HFh+fLlwm+Qmtgf5sR2GzN4hjbn/PnzZdddd5VGjRqF3ygq6bBtfuLEiTJjxgxZsWKF1KlTR5o1axbGST4nmvwkXSdAQcGdI+AIpCsCToAmqWacAE08sE6AJoP5KL4GKPNEldD0dOEsyV66WH7+uJdMHz5CYrrtHc1PtvMcoVoXnCqJK+2JB0IilxOgoToS+oemgDbZtB9Hy0+ffy1H/f0KqVmvjqzPVX2qZDRXTY+6rFSlqvzwxtuSvWq1dLzoL8rFo7+VJAf/V7GCtvXlMvjlt6VFxwNkt4P3l9zVa7RtJydN3jEnQAsGd52SfZW1Plbl5sgDP/WVIfMmaRvMku7duwftmUza9h5tPTaZLS4BGshPJam3qainvU9fLrd9MVV+/nOdVK1SRS655JKwvRGbn8RfVjU/DceSEqDQ7Zz2Pk23vt877jf5QjU/If+7dO4id6smFltXGcfKMnlsGBb3XhoEKG3ZyM/+fb/JO+39p9GhjXfo0CFoymF/nPZOvZW2DFJcTN1/2UKAfon2ykUfYv2wvTtGQNKu8YvjWbS/2dJvxIUf2rrFz3e7+J24+U680YWBaDqJQt4J0EQh6fE4Ao5AMhBwAjQZqGqcToAmHlgnQAsmBLYO6eIRoCo7BfW0CoEQWiJjP/9Cpn4/NJz23lptfmLMna05pXHa++ZwMAHQCdDNIVTy506Alhy7wkLynjkBunF/p/O6oOVYSbUaZ6xcLK//PkwGzp8oa5UQ7a42P+/Xg04yUfPT2gH9FJPX4hCgvH9ovEF+jlTys6ceeDR8w2nvl2Hz8/bbZYcddgiTXpsUW3pl8V4SAjSQn0p2zlTy8/5fftfT3hcEzc/j9GTkB9Tm5166o4F6gSRwIm3TVmMkzrRp08JW3lWrVgkHvqB1XFRiJTc3N2zdffbZZ6Wy7ip549/PyxmXXZhPGEVT5T0hTRw2P2+49jr5+dfx4Vk7JaofffRROcQPPIpC5p9LEQGTP7nj6EOsH7F2bH1LtG3bs2jW8Y+fwn6zvsrCxadvz7kXFE/096357ATo1qDnYR0BRyDZCDgBmiSEnQBNPLBOgG5MCCQG4aIToEF+C5PtirJq8SIZ99WXMu2HHwL5ieYnmjJm8zMq5CUmnyWPxQRAJ0BLjuHmQjoBujlktu4575oToBv3d9j8rKKanhOXLpBXJnwvw/TAI53ByYknnih364ERe6gNNVymEn30U/SbRSVAo5qfI6ctlwd06/vQKTlBM//SS9H8vLnM2/yMf8uKS4Ca5uef2dny0Pg/5FM98ChHtaQw38Jp7/spkWdjGXd3myKQSgKUdyQQ/pqNgf0HqM3PO+WHESPCwkhbdp/oIshRRx/tmp+bVpM/cQQCeWowJLs/cwLUkPa7I+AIpCMCToAmqVacAE08sE6AJmMCVjQCNJCfG2x+Zi9dImM+/UzJz+9lvR581KpVq7Dt/VjVmEknzU9rgU6AJnGrtoIM4eRb4K21JebuBOjGNkAh+6oq+Tl9xSJ56pdvZeTCGZK7bq2ccsopoe/J1G3v0dZSHAI0kJ8QppUqyo9Tlsrdqvk5YsZa3batNj9V8/OWW28NNj+JM1MJ4Sg2Rf1cVAKUhRs2mqIBNUs1Fu8Z85v0QfNTF/jQ/Hz0n/8MpzPzO5e7zSOQKgKUtmwac0MHDpJrrrtOxm6w+cnuk8fVTuthuu09HWWQzaPnvzgCZRMBJ0DLZr16qRyBsoKAE6BJqkknQBMPrBOgpUOAQsbozEM1iypK9vJlMvYzJT+/zyM/Meb+gGpdHHnkkWHiYdoyia/9ksfoBKgToCVvPRpS27/bAN0qBAsMXNRDkCD7qkCyL18kL/46RIbOnywx1cZr3769PPfcc0IfRL+T6URVUQlQ8IhxMJVue/9xxgq5t+90+X5qjtp0qywXXnhB2PaOzc907IsLbAgJfFhUAtS2vc9alS0PjlPNz9lzhEOQID973nOPtG3bNrQnMHRXOAKpIECj5Cean3fecYcM/3Fk0PzcX/uBe/S0d2SQqF3DwnPtvzoCjkAyEXACNJnoetyOgCOwtQg4Abq1CG4mvBOgmwFmKx47AZqMydiWNEArhANmKqj2FQceYfPTND85afUenSymm83P+CbmBKgToPFtoljfnQBNyoFWWyJAIZ/WKSlVWbUaIT+fGT9IRi6aEQ6nOVEPPELLEdMbEJ9lgajaEgHKKe+49RsOPBoxdbnc/42Sn2rzMyurklx2+eVyw403ys5KfuIynRAOhSjmn6IQoEZ+zlixUh7+daJ8zrZ3XeDrrOTnfbqYhzahtamy0K6KCWGxvSebAA39gJol4D6wf3+59ZZbZfSYn8NW+HZKVAebn5z2rrZDcV5nxa5CD+AIJBwBJ0ATDqlH6Ag4AglEwAnQBIIZjcoJ0CgaifnsBGiKCdCcXLUZtF4qZmXJysWLZfxXX6nm51BZp9veo+QnWhdMOtJ14uEEqBOgW9UDOQFaKgQop71XqZAVyM+Xfx8qQ1TzcxslO0/srjY/e94te+yxRz5RtVX1myaBt0iAKvG5Tq8KWdvIaDQ/v5khQ1Xzk23vF190USCEd9lll3Jz4FFB1bYlAhTys6IeeDRn1Rq5h9Pe584PNj+PVruRHODH4T2MY+WRPC4Iz6I8SyYBSn3aezF00GC57bZb5YeRqvmphDXkJ3XmNj+LUkvuxxFILQJOgKYWb0/NEXAEioeAE6DFw6vIvp0ALTJURfboBGgqCdBjZd2aHKlYubJkL1sqP/f6WKYPHxZsfrLl9F5Oe+/UKSPsbTkB6gRokTuZgjw6AZpyAjRb7XvWUK3Gicvmy3Oq+Tlq0SxZr6YYT+zWXe67/75w2jtVZZp6BVVbpj0zoqegQ5CqVKwg69bpae+VK6jNz2X/O+1dMbryyr/qCdrXCuQnrjyTd4URoGuVTKug5Of05Svl/l8nSO+5C4LmZ5fOncPhOdiytvaUrot56dimk0mA5ujp8BV10WOQbnu//sbr5Zdx44PmZ1s97f2JJ56QDgcckBEySDrWm+fJEUgmAk6AJhNdj9sRcAS2FgEnQLcWwc2EdwJ0M8BsxWMnQFNHgLY85phgZ44Dj8Z//ZVMHTJE1ulkJJCfGbDtPdrMnAB1AjTaHor92QnQlBKg7eo3EXq6P1culufV5ueQeRPVBmuWHH/88UHjC83PsqilVxgBWkm1EkUJ4NGzVsjdX02TH3TbeyVdnOrR43y56667ZIcddgjNujyTnwCwOQK0085qFkBNCMxauVIe0NPeP/tTbX6q/6PUbuSDDz0k+yqhZuRnANL/FBmBRBOgHGL0xr+fk9MuPj/kYYgeeHTbbbep5ueIoA2Klu59avPzaF2AtQO+nLAucnW5R0cgJQg4AZoSmD0RR8ARKCECToCWELgtBXMCdEsIFf93J0BTQ4DufdJJslfXLrJi3ny1+fl50PyMQX6qzc97deLRSbcLZtJJq06AOgFa/N4mEsIJ0JQRoLe17SyH7thcJiybq5qfgzdofsbCtne2u7Zo0aJMkp+0tgIJ0B0qSb8rW0sV3fY+XDU/H+o/S7e9r/mfzc8bbpCdd945hDUyKNJyy93HggjQJ/dtLV0a7iSjFyyS1yZPl4/V5ienvXc97ji5WxfzsCMLgWZXuQNtKwucDAL0tSeflTMvvUD6f/Nf+cc//iE/jh4VND876IFHDzz4oBxy6KGB/HTSeisrz4M7AklCwAnQJAHr0ToCjkBCEHACNCEwbhqJE6CbYrK1T5wATQEBWr267HvqadJ4//Yy5pNPw4FHkJ9tdJJ4t2oaHasHRWQS+UmbcwLUCdCt6nucAE0ZAXrP/idI/ao1w4FH38+brAYbK0q3E04Imp+77757mSU/rZ+ChItugd9dCdDvrt5bfpm5Qu7sPV2GTctVbdiK4bT322+/w8nPuBd7EwK0ShV5af99Zc9aNeXS4aPlp2XLJVu3wnNi+EOu+RmHXsm+JpoArawaoO+9+Ko03LOFXHXV32Tk6J+Czc82rdvIQw8/GGx+VlK749oth/6gZLmOhAoRRb77x8Qg4LgmBsc0iMUW54qTFSdAi4OW+3UEHIFUI1DqBOjtjz4qOzVsJGuVZEnWNhY67690+8zYPybK3085WWooyRPTwwSS6XLXrpUv9cCYShUrSbdDDpLkJhcL2P25YKG826+/HNmurRyw556yWg+rSRamYLeNbsn7Ydyv8v3YX+QC1Risu10tgfhNWprK/63RMn04cKBU1+1/Zx55VDjAIJn1yF7M1WvWyPt9v5G2e7aU9i2Tj2uFitvI5OkzZeiYMXLiUUdKLW2vycM1r+18/t778rAeMFCpWjXZTXFdvzZHJn83JNj83EtPxX3w/vvzJh46OaF+k1bHSajMTQnQUXJm5+5y79U3qX2xitoXqG09tpgm2NHDcI36+OOA58G6XTVXTx7mIJdkOdJbrWl898qr0nS//WXPow6T3NUQoIkvH2UgvQpqn3D6qJ/k5y++liP/drlsW6+OxHLXMTvFS0JdwFQP5qpUpaoMe/MdWb1qtRx24XmhDhOaUDQyHT+20TKuWrJchrzyjjQ/7ADZ/eD2kpNMXDXNipWyZOqIn2TcgMFy+EXnSo2620lsrZ6dngRcKS7vSYWsCjL8zU9k9aJlcuhfz81rqwxeCa7KUI/aerDv99ZnveTGx+6XelWry19aHCAjF86QYfOnqc3PmHTH5qdqfu62226hDZflLd42yYQAveCCC+QT7Tf2bFBZ/nliE3novzoeTNH3WE0BXHHFFXLddddJw4YNQysty5hEX8OifI4nQOspAXqzEmk/L14q782cLTF9d7p06RLa1F577RXaVKaNZ0XBIZV+aLe4WbNmyZ133inLly8PpnLuuOOOoKVp7bqwPOWq/H/NNdfIs88+K1VVtrvyvAtk5ITxMuT77wP5ua8uwP7r8X/JgQcdGMYbOqRkjWmF5dN/cwQ2QoCmn+CxcaP40+QL71pxx5nv9d196623ZOHChXLUUUfJaaedJrVr1w4l8nc3TSrWs+EIlGMESp0AveOfj8kujRsJAlCyOkUIjq/05MgxE/6Qq089VbZVQolV62QOXOuUCPx86BBhpbr7wYcIJ9omz+kEXQ2EzVqwQN7t31+O0tMxAwGam2QCVFMdNl6F1LFj5UK1z1avVi3J1cMrklWPQQNUCdAPBn4rVStVlrN1K/aatclrN9QXaWavWS3v9e0r7fZsJe2VBE02sQwpMGmGnvALAaqaKttVr5E8XCF3lMn+7L335KFbblYCJEtq1NteclYsD+Qnp733vPtuOSYDNT/tfWMCxjV9+nQ555xz5KdRo+XMLt3kgWtvDQQMfUGFBJNK0bd95Ecfyfp1uXJIjwskZ+UqFSSTJzGTLgTo4Jf+T5q2P0BaHd1RibrVSUkzr4xKmikpM33kaPn586/kiL//VWopAbpOF4CS0Q/k1aVIpapV5YfX35JsJUAPv7iHEqBKuCbJhQm8vpPZSoB+98rbspsSoC0O6ZCHa4LbDUUIuGp7rajv4tQRP8sv/QbK4Zf+RbZVAnR9khaY9A0JCVfIqijDXu8l2YuWy2F/OzdMelgsTHQxSU+LGAiSNz/9SK5/9B6pmlVZdqq+ncxYuUR/2EZOKOM2P+Oba2hnCvTSpRsI0E8+lno1KkrLHbKC5mcFXUz9S4+/SM+ePWXHHXcMwYs7KY1Ps6x9NwIU0hw7kdV1wa5ZtaoyaVW25GiD47R3ND8Z1+ifHL+tbwG0W9zcuXODPVoID7S171a5obKSmdauC0spN2cDAfrcs1JFx5O6SpQs0IUA6vOggw8KpncOO+RQydL6DPERWaI7pcIy6L85AgUhQNNPnjhXUIoZ8Yx3dPDgwfLmm2/KSrW73Ent9UKAbrvttiH/yZANMwIYz6Qj4AikDQKlSoDurfZ87tJV3Z0bNQwaoAkXaDYMTnTGX43II0CvOe1UqaEC8foNQlvCa2JDmghunw8ZKlm6Xe1EtVe0TrWWkueg6XQF3ghQ1QA9UE80RXMx4ZhSiA1lZBD7QQnQoWMgQLsqAbqdrFUCNClpBvC2kRwlPD/49luppgToWZ2OlhwlRJOWHuVUh9bpu99AgO6pGqAtw/ekpLkhPWy5BQL055/lJF05DRqgycB1Q3rU42fvvSsP3nxzwBIysILmYW/V/LxHbaRl4rb3vJrL+8v7zxUI0LOVAB0NAdpdHrrulqABalv4omES+XnkR72UuMqVQ1Wra83yFUGbMJHxbxSXdgQQoINeeEWa7d9BWnVSAjR7tWryJUdKpwnRx039UbeXfvqVHH3NlUrU1dbyJq8foC4rqwboUCVAV69cLR0v6ZFUApT+LmiALl4mQ/7vbWlx+IHS4uD9VbNWcU3SJJzhImiAjvxZxv13gBxxaQ/VAE0yriHNCnkEqJa145XncaS4hO0LSWg+tB0We9749EO59pF7ApbgmaXEb7du3cqN5qe9v7Rrym8E6Mcff6zvVpaO7esD8XPJJZfK9WrzE81P/LrNT0Puf3cjQLFVDQlK36RgKYIiF110kZx//vlygJ4cjoP8TNb7GxIoJ39oi7hFixYF0nP27NnBNANEc3V2W21o14XBAQH69+uukeefeVYq6WL+2m3y4txn193l5quvl0ORoVUGSmidaZ/GQl3uilVSWYkZZJ4Ny0+FZXXrftM01+rOgfW56zXNalsXVxFDs9iUszxbx5OKkqVzH96HZLv1WldrNM0qNauHRfVUpJmH6zqprGmmyuVo26kAriqPJLvt8B6tY76j1VexCjuxkrmTKG8sylmTI4uXL5NaO9aTZi13/98CRCFyD/nkGjBgQCBA1+o7htb9SXq2QDXdYYbzfjfA4H8cAUegFBEoFQL0ySeflAfVkHmDXXaRAw8/XLbdTjVb2IaaJCAY7if9OVvmL14s7XffLdgw5Fky02MAmDhzZpjgtdgwYUlS8RgPdUARWaHaUOOnTZUmqh2y8/bbh9XzZKVp8f6pq/2z5s+XNs12lWpVqyjRqwOn/ZjgO+Vcr8TybzOmq2mBLNmzSRNZm8R2Q/ZJk0nVb1Omyo7b15MGdesmNU3Sg4BcsmyZzNRDiHZv3FiqVK6UNFwRjqHPJ/76qwwbNCgILrRdDoZAg+OYY44J7wsCS6YKLSaQQYCed955MnLECGnVYg/puF+HPCFSyxteICo8kY7K1Jdh7oTfQ/+2S+u9deKTm5y0Ivlep2nMVPK81k47ST3VrkdrMCnlI03edyUSlqn2z9w/JkmT/dqpGQWdDAQN+yT0BIopbRbtyFm/jFPTEGulcZvWyZ1fbajHtWtyZdaY8VK78U5SZ+cGKcF1qR7YsmDqdGmsB7lkaf+aR0YmAdcNdamdj8weN0HWrc6Rhu320qdJSis0HdUe1n5l3KTfZcDw70M/C6kH+cnCS1k97R2oC3L0U/SxEKCQdRCgED5cF114odyu24t3atAgBOWZu00RMAIU+ZI2BJnOM8axF198UXbSPtGI40wdzzYtdXo8yc7ODqTzb7/9Fra6QkCDt7XrAnO5YexlB9jN19+gW+Cfk5hqf4d/SoI233EX2We3PbUO12vXl2eqhiCJcPqqBXly7So9VKxGFX3P1BxOguLeXP5Ic52OI5qwVNRxMtnpkQ/SXLsyW7bRdwHiLNlp8l5BgIJrpRrVwuJr8tMEVyUH9V2vWL1a0sto9bseMzj00VUV12TquIQEdSFHFwqYlGyjc4Jk91+0mzU5aySm716XE7vJOZdfJDW3sIWddx1HX9C7d2/58MMPA+l54oknyvG6oyOhCxghJf/jCDgCjkDJECgVAvSRRx6Rhx9+OHSGbGlJpk08gwUhGK3PSqzy0rMn3elqnQ4cOBO4k59kTDUw1wVcUzVBgrjmCpoWqcBV65AyMvinGle0lVLRVmknmG1Yl0Jc0YTADi/tBuLhn//8Z9gumGkHHhX0jhkBOmXKlLAKPW7cuNBes7IqFeQ94c9i2l5xaJgkeX6Vl3d9R9DARGsxTOrynib1byymRj7UPiUmFFLRv9KDsxhC3YY0k1q6DZEHXLXv0RO5K2yTmrqM6awqD9dUjVuKK4S5ttRU4crYnKsa0pBVx+nJ3PQ9Zfm098KaKu15xYoV0qNHj0CAVlEblldeeaVcffXVbvOzMOA2/EZbYlHkLj2wDxmTNsUOBk4OZ0cD4xsYJ5s8KEJWy5QXcAfXJ554QoYOHRpID9rs/vvvn9dHK+4FOcLg5kyZLg+cc5m8ObyvLI14rKhabllqlmODt8gvCfqoEee3h1TIr2TbCpOq9EjT7DinKs3SwpXmlKTdLsC4iUt1XVp6LEymYBrLu7Fjje3kSt19cOVtN0mN2rUCBJvrP+19xhzGJ598Iv3VJNsOO+wgp5xySjh4jsCbC7sJtv7AEXAEHIEkIpByAnTVqlXy/vvvy+uvvx60eILwkcQCWtRBzNLOPJWdrw0GKU9ThZwUjI0BWsMV0iNVaZaGABnqMpVlBF2EnRQJrNjpWawa0nVVwxXtIybgZYH8zIMxtFKZM2dOmBj//vvvqSPPrR65p6guLcltgqpAyt7K/00kyUCS3f/6HRJKXd+TN14ppqmCVQsatLRT2HZIEaejZUqKuWzpMlmydIk0bdo0HKLCdldcyha4Qmrp8YfFxDVquuZu1b5HAxStmVtuuUXq168fMpiqhc30QKP4uYCI43rqqafkmWeekQMPPFBuuummYPMT7FIpixU/95kbAsxxvXr1kvfUnjg4Y/PvzDPPDAvkhbVb+tQlc+fLJ489Lx98/YnMjamWm2rUrQ+kHYtNqepsMxd/z7kjkAwEGI9a7tpCLrnoYjn82KPDIn5hfSjvMtekSZNCPzBazU2hUEE/gN1lXGHhk1EGj9MRcAQcgYIQSBkBSuJ0jHSoC9RWJStE+ROcVAg4dMyahyBKpSK9vALzlx4/756Cv2Cc6jI6rkmoWK3H4FLRdjQtbKlCgmKjB+2rWnqgFa4sCStss5uhh0tRzjAZDiVM9h9oyLy6zKOTNtRrkpMNzUc7gtSkSY+TJ/jmtZe878ktYhTX5KYUjb10cE3lEJJaXHkbVqstVRZGOSGWyVJZWXiJtpuifrYJJNrqLNjQF6NBw/PCSKSixl/W/Rl+9PNTp06VxmpChsvJz+TWvOH+q5rSuf/++4MWLgchcRI8Wsy4wmQJtPkXz1sgM6dNl1zdTaBbtbTNR8Ikddgk8iA1h3ym5k+q00x1eqBYXtJMTYvJSwVMcSlor5oE83XmAtidtgOM8tIv+C/9AGHQAn/nnXfCCfAHHXSQnHXWWfkH9xXWDxQcqz91BBwBRyDxCKSUALXs00HSUbpzBByB9EGAdxLhxCbaZVFQ8b4nfdqb58QRMASs78lfFLUfyundthQbHmWxL05m1dLPc9lYZvdkpulxqx16Nd9wp9qq/fPPP8NCBgQoixq834XXAQtomHDMMxuVinVfry9HwBEoGgK8u1sag3jHuZYsWSKff/65fP311+EQtK5duwbTUz6WFQ1r9+UIOAKpQaBUCFA6SYRTd46AI5B+CBRF2Em/XBctR06AFg0n9+UIlAYCZbnvKQ6e1k9FF6SKE768+3X8Ut8CDPO33nor2P/D/mqnTp3k0ksvzVd4KIxEwe55IFFSn3VP0RFwBDaDALqmnH1Q2LtLUN5d3NixY+Xdd9+VCRMmSNOmTeWMM84ItoD5bUtx4MedI+AIOAKpQKBUCNBUFMzTcAQcAUfAEXAEHAFHwBFwBByB5CJgBAjmB7Bhi1mL6tWry8033xy0QCFIC9cCTW7+PHZHwBFIDgJh4UIJ0KVLl8qXX34ZtD9JqWPHjoEAxbwNzgnQAIP/cQQcgTRAwAnQNKgEz4Ij4Ag4Ao6AI+AIOAKOgCOQqQhAcmK+gYNOORAJe76tW7cOB1GxBRYCxEnQTK1dz7cjsCkCkJ+897hhw4aFw48wgYH25+mnny7t27cP772Tn5ti508cAUeg9BBwArT0sPeUHQFHwBFwBBwBR8ARcAQcgYxHwDTBFi5cKD179pR58+aFw07ZBnvyyScHctTNXGR8NXsBHIF8BIz8nDx5snz44YcyatQoqVq1qhx77LFyyimnhINV8ewEaD5k/sERcATSAAEnQNOgEjwLjoAj4Ag4Ao6AI+AIOAKOQCYjYBphgwYNkmeeeUYqV64cCJHLLrtMOnToEEhQ0wbN5HJ63h2B8o4A2t64+fPnh4OPBg4cKLm5udKqVSs5++yzZbfddgu/O/kZYPA/joAjkEYIOAGaRpXhWXEEHAFHwBFwBBwBR8ARcAQyFQG0wtasWSNvv/12sAlYpUoVqVevnlx11VWy++67y9q1a4VDkpwYydQa9nyXdwSM/Fy2bJl888030qdPH+Fz48aNg+Ynix3+jpf3VuLldwTSFwEnQNO3bjxnjoAj4Ag4Ao6AI+AIOAKOQMYgYFqgHIrywgsvyPDhw8OBSDvvvLOce+650qZNm3y7gWiDunMEHIHMQIDFDd5vFi8wddG/f38ZMGCALFq0SOrUqSPdunWTo48+Omh9UyJf5MiMevVcOgLlDQEnQMtbjXt5HQFHwBFwBBwBR8ARcAQcgSQhYPZAZ82aJU888YRMmDBBtt12W6lfv37QEDviiCNCyqZJ5rZBk1QRHq0jkAAEbFGDqFi0mD59uvTu3TssbrDQUa1aNTnuuOPk+OOPl+222y6k6ORnAoD3KBwBRyApCDgBmhRYPVJHwBFwBBwBR8ARcAQcAUegfCJgpMmkSZPk9ddflzFjxgSipHbt2nLYYYdJp06dpEGDBkGjDCLUCBPudpVP5LzUjkDpI2DanqbxCfG5YsUKGTt2rHz77bfy+++/h+8Qnmh9HnPMMcHUhb+7pV93ngNHwBEoHAEnQAvHx391BBwBR8ARcAQcAUfAEXAEHIFiImAk6IwZM6RXr14yePDgoEGGNmijRo3k4IMPlgMPPFAgRY0AjRIvxUzOvTsCjkCCEOB9RDMbx+FGLGTw/v7yyy+yYMGCYOd3p512ks6dO8shhxwitWrVCv7tPU5QNjwaR8ARcAQSjoAToAmH1CN0BBwBR8ARcAQcAUfAEXAEHAEjNLET+MUXX4QDU9AkY9ssdgObNGkiLVq0kD322EOaN28e7IWibQZ56s4RcARKBwG0snln2e4+fvx4GTdunMycOVNWrVoVFit4X7t27Spt27YN76xrfpZOPXmqjoAjUHwEnAAtPmYewhFwBBwBR8ARcAQcAUfAEXAEioAAJCgECcTnqFGjZODAgWFLPGQKp8SjEbr99tuHC1K0bt26wZYgmqGcJu1kaBFAdi+OQAkR4P1au3atrF69Omh7ZmdnB/ITG75oey5evDi8u7zHDRs2FE55P+igg8LiRaVKldxkRQlx92COgCNQOgg4AVo6uHuqjoAj4Ag4Ao6AI+AIOAKOQLlAwEhQiJa5c+cGW4I//vhjOCAJTTM0zqpWrRoIUUjPypUrh++2DbdcgOSFdARKCQHeP7a6c+das2aNrFy5MhCjLFJgr3e//faT/fffX5o1ayY1a9bM3yLv295LqdI8WUfAESgRAk6Algg2D+QIOAKOgCPgCDgCjoAj4Ag4AkVFAE0z0+aEbFm4cKHMmTMnHKjy22+/BTuDnCqNg4Qxv0WN3/05Ao5AyRAwEpM7iw7Vq1cPpGfjxo0D4QnpyeeovV78WriSpeqhHAFHwBFIPQJOgKYec0/REXAEHAFHwBFwBBwBR8ARKJcImDaoEaI5OTlhqy1kKNqgbMHlYou8O0fAEUguApCY2N3FLi/anmhim1kKTFLwmedGdjrxmdz68NgdAUcguQg4AZpcfD12R8ARcAQcAUfAEXAEHAFHwBGIIGDkJ4/QOIMUtYvf+IyWqDtHwBFIPgIQoLyHXBCc0Tup80468Zn8evAUHAFHIPkIOAGafIw9BUfAEXAEHAFHwBFwBBwBR8ARKAABI0OjGmZ447k7R8ARSD4C9u6REosPUefEZxQN/+wIOAKZjoAToJleg55/R8ARcAQcAUfAESgzCJj2GwVi4okmjjtHoLwg4KRnealpL2e6IxAlRUNedT0CclQt+eZrg27iJ90L5flzBByBco+AE6Dlvgk4AI6AI+AIOAKOgCPgCDgCjoAj4Ag4Ao6AI+AIOAKOQNlFwAnQslu3XjJHwBFwBBwBR8ARyBAETPMtO3uVLFu2PGz/rVmzZjiAgt9c0yZDKtKz6Qg4Ao5AGUOAMWjt2rWyYsUKWb16tVSpXEW2rbmtVK5cOd8+aBkrshfHEXAEyigCpUqA0plywuOgbwfK7LlzhJPmDj/8cKlbt653pmna4NatEz0pME0z59lyBBwBR8ARKBcIYKIs3XeGr1mzRr788ktZvHiJyje15fjjjw8n6W6ugsLWQpWLhnz3nTzzzLMS00KeetqpcuZZZ8k6HXw5pMKdI+AIOAKOgCOQSgRsce6PCRPk/ffel5/HjJF92rSRM88+S1o0bx6ysk26D8ipBMzTcgQcgbRGoFQJUIT9pUuXyn9efU1GjBghDRo0kEsuu1RatmwZbIy43au0bjueOUfAEXAEHAFHwBGIQ8Ami/Pnz5cHH3hA5s6dJ7s2ayY9772nUBLTCNAxY8bKww8+GBaCOx17jFxyySW+KByHsX91BBwBR8ARSA0CNqb9MnasvPP2OzJp0iTp0KGDnHHWmdKwYcOQCd+hkJq68FQcAUdg6xEodQIUVXpWk/r26SO1tttOLr7kYjnggAMCAeraDltfwR6DI+AIOAKOgCPgCKQOASaLXJN1kvjggw/J8uXLpe2++8qtt99WaCYs3JTJk6Xn3T0lJydH2rdvL9fdcH04CInffZJZKIT+oyPgCDgCjkCCEWDswY0YPlzefPMtmT9vnhx+xBFyxhmnSx3dtYnzsSnA4H8cAUcgAxAodQIUOyJfffmVvPvuu1KjenU55/+dI8d17uwaoBnQeDyLjoAj4Ag4Ao6AI7AxAqbJOXLkSHni8X/pebkSzPtc8dcrCtXktEkmk8v77r03aI7utNNOclfPu4OJICdAN8bZvzkCjoAj4AgkHwHGHky69OvXTz768CPJ1cW54zofJ6edfnq+WRcnQJNfD56CI+AIJAaBUidAMajMJOHpf/9bKmxTQdq2ayt/v/oaqVQpKzEl9FgcAUfAEXAEHAFHwBFIEQJMFtHefE3N+3zzzTdSKStL/tLjL9Kla9ctLu5CnhL2xRdekEGDBkvVKpWlxwUXyDHHHON2QFNUf56MI+AIOAKOQB4CtjA3c8bMQH5+N2SI7LLLTnLKqadKx44dgycnP721OAKOQCYhUKoEKEBh5H+e2sl64l//0u1ik6VevXpyuWpJtFHjykwE3A5oJjUnz6sj4Ag4Ao6AI1B+EWCyyDVz5kx58P4HZPGSxbJ9ve3ltjtul5133rlQDVBQM+1Rtho++cSTAchWe+0lN99ys5+2W36blZfcEXAEHIFSQ4Bx6Yfvv5d333lX5s6bK+3a7Sdn6QFIjRs3DnlyArTUqsYTdgQcgRIgUOoEKJ1qdna2fPHZZ/KBqtVXr1ZNDjr4ILns8svd5lUJKtSDOAKOgCPgCDgCjkDpIIBMw84WbJt/rnINi7iHHnqoXHHlX0OGtrioC4GqPjkg8v5775Pp06cH4vPsc86Rrsd3dS3Q0qlWT9URcAQcgXKHgGl/Tps2TXrpHJ2Fueo1akiX44+Xk046UbJ0d4M7R8ARcAQyDYFSJ0DpXJkwYPT/sccekyWLl0iNbbeV008/zW2BZlpr8vw6Ao6AI+AIOALlFIF169aFkg8fNkyee/a5INtkVaokN9x4g7Ru3brIu1qQibi+GzxYnn/u+TDJrFmzpvz9mqulZcuW4Tc/JLKcNjIvtiPgCDgCKUDAdjOwGPf1V19Jn959gnmW1nu3ljPPOkuaN28ecuHanymoDE/CEXAEEopAqROglAZBn8OQvh0wQN544w3JqpgltWvXVrtX58t+++2XP2nwTjahde+ROQKOgCPgCDgCjkACEDDyc+LEifL0U/+WRYsWBdnl5FNOllNPOy2ckLtF7c9IPph8sjvmtddek/79+qst0CrSpGlTtZH+d9lxxx3z5aJIEP/oCDgCjoAj4AhsNQJGfjI3H6y2qNnNsGDBAuFQvlNOPUUOPuSQsLvB5+VbDbVH4Ag4AqWAQFoQoKYFyirTO2+/Lf369w8nwtetW1fOPvtsOeDAA4PdLPApzgSiFPD0JB0BR8ARcAQcAUegnCDAAi4yDO7X8b/Kyy+9JPPVrjnb4Nvss49ce921Ur169S3a/oyHy+KcM2eOPPrwIzJ9xgypVrWqNG7SWC697DJp0qRJIEGZgPokNB49/+4IOAKOgCNQEgQY03ArVqy8L/Z0AABAAElEQVSQgd8OVM3P3rJw4UKpqibqjjvuWOl+4olSTT/jfOwJMPgfR8ARyDAE0oIANczQoJg7d66enPqqjBo1Ogj7tWrVktPPOEMOP+Lw4I1JgQv8hpjfHQFHwBFwBBwBRyDVCCCLmDzChHHUjz/Kq6+8orY7l8nadWul+a7N5cq//U12abhLvr/i5pH4ifu3X3+TZ595JmjgVNIt9Ts22FHOP/8C2bvN3iFuy4dPRouLsPt3BBwBR8ARAAEjPhlHIDy/6dtX+vcfICuWLw92qNH6PFHtfrIDAefjTYDB/zgCjkAGIpBWBKhNKNB4eOett+X7H34IJGhV1XrooFqgJ5xwfFC/B2frqCtsU0F74QxE3rPsCDgCjoAj4Ag4AhmFgMkpNvlbvGixfPH55zJo8CBZnb1acnNzZc899wxamg12arDVC7akx+LwpEmT5OUXX5IpU6cGuQit0o4dO+phFF2F3TL4Qy4iX3ZlFLCeWUfAEXAEHIGUI2DzacaNNWvWyPjx44PW5+8T/pAc3QJfRefghx/eUY4/4YQw1rAT08a/lGfWE3QEHAFHIAEIpBUBSnlMiMfWCKeofvvtt1KlcmXB4D+rTsd16SyH6CoUwr85C2NCv3fMhozfHQFHwBFwBBwBR6AkCCBb2IVcYSZ4eMZEcbieiPvFZ5/LrFmzwoRwtT7br107ufDii6R+/fohSQtTkvQtDBNU0pw1c5a89NKLMm7c+ECCsvjbsGFD6da9u3To0CFo6VgY/EcJUZ67bGTo+N0RcAQcgfKFAGOC8J+7jh02ZwYFxgrGsQFqb/oHVT7CJB1mXGrWqinHHHusHKvXdtttt1GY8oWel9YRcATKEgJpR4ACLp0z15IlS6Tff/tJnz59tDNeIpUrVZZKVSpLk0aNZZ+2++pEYz9p2KhhIEfLUqV4WRwBR2BjBILAtuGR9Q+ltQpt6WsnhVHifAV0Jxc2rjP/5giUNQSCmZ45c2XkyBEyevRomTxpcpgkMlGsVqO6HH3UUaol003q1KkdZJhEkJ+GYdDS0S5nwcIF4UTefv36BY1TtsRX1gOSmjVtKm3btpV2enAkmqd+Srwh5/dMRMDGfBtvjawprXHW8gGW0TxEP2cizp7n8osAbXq5bm+fOHGSmp0bJePH/ZJnvzp3bWjjzZo1k2NV6YjDiKurzU97B8svYl5yR8ARKCsIpCUBauAy2UDLYvr06WGL2Y8jf5RcnWhUUm3QillZUktXoziRrnHjxuFq1LiR1KtXLxhnrqxao95ZG5J+dwTKLgI2MUnW+27xg2Cy0ii7teMlcwQyD4H1KnuwlT1bt/9xmjsyyAy9pk+bLn/Oni1LdXEW+STIIyqLtN57bznp5JOkefPmAiGZrMUZ+iKIUOQitsR/3KuXaoOOC8+yKmYF0rN27drSoEGDIBPtotqhjVUu2l61UTElhFyUrLxlXi17jjMRgeh4nMgFhoKwiNegLsiPP3ME0h0B2rHNp5ctWyZzZs8JY9rMmTNkpu4qYMflqlUrZd3adWHhbvvtt5fDOh4WTKzU32EHydIxzmXfdK9lz58j4AgUB4G0JkApiAn8nEb366+/ytDvhsgvKvAv04MGUL3KUjIUIQhtBw5MQsins0ZTtHrVahttCSsOMO7XEXAE0gOBilkVw6IG73Y1fadr1Nw2LHzssssuYZupaTrZxChRglpB8a1ftz5oYLFVaPafswVhcrWSJOHKzg7aYOmBmufCEXAESoJA7tpcWblqleSsyRGIUN5ttgMygaRPgPTEbbvtttJKbX0ectihsrcSoDVq1MifJNIHJctZv8QduWjs2LEydMgQGffLeFm5cmWeXKR9ploCzVsorllTqlWvJhUrVJRKSoByei9mhZKZx2SV3eMtHwhgcxAzVzW49D2rt309gdjfQckYyBlz9i4kaswn3oLihEBC83r2rNkye/afOu4vzxvz1+jYvypbcnJyLEt+dwTSCoG1jGEqm7Joxk4F2uoKHSdW6xi3fsOC2jpt35V03txAFYraqQmXDgd0CAtovmCWVlXpmXEEHIEEIpD2BChlRSDBMQHhkIE///xThg0bpur642S+rlwt08kJjs4cV4FDAIKRZj7rIUnuHAFHIKMRsAlOeMP1PWciX6dOnWCQvSlbP9u1ld12202q6FZQm8BsjXZIVPMDTbCJEyfJaN0iNGXy5HA65mI1yZGzek0eiaCZUqMd+f1URgPtmXcEyjkC9B/rY2pzcz33PJkCOpM+aFslE3dQbcoWu+8ebJGjXUmfwyIM4bamzyku7BvJRUrSzpgxU77/fqhM+O131ehZqCRNnlzE5Db0n0qIVqiQd0BSKvNZ3HK5f0cABGiz+ocJQLhVq15Daun7h83bvfdpI3vsvofs0nCX/HcuOmaXBMF4uQGyaMKECTLqxx9l6tRpQRMcs1xr9F2z/FmYkqTnYRyBVCAQZFMdy6yt2pimQ0GeHK0H6DVq2Ej22WcfadOmjdStVzd/FwP5C+9hKjLqaTgCjoAjkEIEMoIANTwQcHB05KxioZmxUAlQtLEmqi2uGdOmBXsm4Tdd7crRa926PG0Ni8PvjoAjkFkI8N7n5OTmHeix4fTJinpHAzxof6tmExpOuzbbVfbXlev27dsHbRHrL4oz2bcwCH1oU2F24/vvvw/bTVfpd/oe/IS7kiTrVCMUh//KuvW1YkVfcMms1uW5dQQ2RqCibiXHpmZVvapUrhL6lsZNm8puLZrLLrs01O3k22+0nZy+gPe/tCaKoc+CJ9JJ7v/kooVhoXiyLthM01PjsfPGQg5aQGtUdsrNWbNxof2bI5BGCDCurtf2vHaD/G7j/Taq0JCl430FHWc5nGX3sBChGtht9g7vJO8iV3HGfIrNO2TvL1rVP43+KWhV/zHxD8lWDU/erXU63mvkwoJCvpygQkilSlm666xiGqHnWXEE/ocA70IlHccYz9DoZAdA/R3qS9NmzaRJkybhcOFa29UKYx0LefYecLfP/4vNPzkCjoAjUDYQyCgC1CA3IYfOGUGEi9VaNETXqvHm7NXZas9kVbhyfWuKweZ3RyAjEeDdXqPbUXmvs/W9Xqg2+ZjUz5s7L0zssdMH+RjIUBXgGqtQd/wJx4dTkU0zqyiCnE2C6EfYVvrZJ5+q5ufE/D6Gra+kw0mY9XQbXlMlRSBD2KrH1vwqVSoH8xsZCbJn2hFwBILGWSUlQKvrgUbVdUs7k0VM6tCPcKePsb6Eu31OB+iQi+jDyCN3SBu282O2g4XgbN0GuUrJHAid1bp1V9mcdMi258ER2AQBtu1ij3Cttt9ZuuNrtl5z9fCxxYsXqTmKZZLDWMx7iVkHHXebNGksnY45Rg4++ODwrtp7sEnEBTzgveE9RqGCQ1cHfvutzJ4zO8wn9CddOMgJ5BAmtuqqthzEUXTcr6zpIxe4cwTSDwE1g6JjV7VqeSYlkFXZPcUzG9NsHLP3IJ3GtPTD03PkCDgCZQWBjCRADXw6bJzd+Yzwz3e7eObOEXAEMhcBe7+5M7HhghRdrvY32fY5bvy4sD197ty5weQFRAUaXPvt1066d+8ujfSQNMKYoFcQEvyOmzdvnnz22efyg2p9stWN52ij1Feic5999w2aJo0aNQoapgiQ9DfxpEhB8fszR8ARyCwE7L22vsFyX1g/Yn5K+x4v/7hcVNo14ukXBwEb89G4hAzNG4fXBfMzUyZPETSbf/7pp3AgGecAGJnTVu0XnnrqqTrmNwphaPeFOeLlfZ6qC6rvvv1OWPgkTFCmUAIWorOdnoDdRjVMsTmOHVIb960fsHth6fhvjkBpIxBtp/nvl2aK5zi7hy/+xxFwBByBMo5ARhOgm6sb69ztvjl//twRcAQyE4EgrOnkiO1oubo9fqnauxs9erQMHPCtTJo8SQ2652mEYs/oFJ0QHXHEEfkLJfGCHpMdJkKEf+ett2XuvLm6sW2bsGW0YaOGcuRRRymZup/UqV1HsnS7GxMg4vD+JTPbjufaEdgSAtZH2H1L/jPhd+uv7J4JefY8OgIgwHvIZUQoC6AcQDjsh2EyeNCgQGBWUi1M/GynJOUpp54inTp1yh+j499j3gF7D/r16ycfvv9BOFCMtFarmQjsjB6t4377Dh3U1njtfC3w6EICft05ApmCgL0Dds+UfHs+HQFHwBFIBgJlkgBNBlAepyPgCKQXAtFJDEIdNu44pGDQwEHyzTd9ZfGixcHmUVXd/tOtWzc5QS/IS8KZEMiEisnUkO+GyJtvvhlOy2TLKCfNH3nUkXL00UeHbW9olZojrIW3Z353BBwBR8ARcAQcgeQhwNhtWpuMwdi8xVb3oIED5euvvpZFixcHUzRqqEK6n3yynHzySWGHBjmyMduIT+L56MMP5bNPPwsZJi5sIR555FG6nb5TWPCEVFWqNPzu436Awf84Ao6AI+AIOAIZj4AToBlfhV4AR8ARAAEmNDgO+pg9e7Z88vEnYSs7ht+zdCJz3HHHyhlnnhlIUPzhH9L0v32/kffffz9v25tqg7beu7WccfoZaku0cSBQ8euTH1Bw5wg4Ao6AI+AIpAcCNuYzjocxv9fHMnToUDWBUznYwD1SFzDPO+9cJUWrbLTwCdn5li549tWxnwOWctTO5wEHHKCE6cmys251R2aAKEXj04jT9Cix58IRcAQcAUfAEXAEthYBJ0C3FkEP7wg4AmmFAJMiJi9Lly6VTz/9VHqrZgiaHGxfP+vMs6Rz1y6B7MTf8OHD5YXnnw8HLvD90MMOk3P+3znCgQdGevoEKK2q1zPjCDgCjoAj4AgEBBjr7eKgry/UhnevXr0Cicnujk7HHiMXX3xxvuYo4/yrr74qfXv3Ddqia5U87XrCCXLqaafqSdlVdbXTFzy9aTkCjoAj4Ag4AmUZASdAy3LtetkcgXKKABMiJjorVqyQvn36yscff6wHJKl9MD3B/fK/XiGtWrWSadOmyVNPPBFOk6+oW9yPVpthZ5x5hlStqpMgdVs6QKGcQuvFdgQcAUfAEXAE0goBI0E5zb2/nub+9ttv6W6PLFkfWx8IUGx5IxMM6D9AXn7ppWDXkzBnnn2WHKMnyKP1ifNxP62q1TPjCDgCjoAj4AgkHAEnQBMOqUfoCDgC6YBAPgm6fLl8pBohX335lWp4VJFdd91VLrz4onDwARqgaIe2b98+EKNGfrrWZzrUoOfBEXAEHAFHwBEoGgI25rPF/VM1gfOB2vispguaNWvVlNtvv11Y6Ox5192yfMXycHjiSbrl/bTTTwtmcbAP7s4RcAQcAUfAEXAEyj4CToCW/Tr2EjoC5RYB0wpZsGCBPP3Uv+X3338P9sB2bLCjLFy4KBx6tNNOO8k1110rjRo1ChoirgFSbpuLF9wRcAQcAUcggxFgzMexHf6pJ5+UUT+OClqd7dq1EzWOI6P1Owucbdq0ketuuD7IA77gmcEV7ll3BBwBR8ARcASKiYAToMUEzL07Ao5AZiHAtrd1erjRiBEjAgkKwckkaZsKauxL50rY/OzcpUsolJOfmVW3nltHwBFwBBwBRyCKgJGg06dPl4ceeFCWLFmSv+Wd37Dxfettt4WDDoMsoISoO0fAEXAEHAFHwBEoHwg4AVo+6tlL6QiUawSY5DAJevyxx+XXX3+VatWqyvp166WBan/edPNNsuOOO+aRoj4RKtftxAvvCDgCjoAjkPkIsOjJuM9p75/oYYg1a2wbCrUqe5WcoIce/aVHj/DdFz0zv669BI6AI+AIOAKOQHEQcAK0OGi5X0fAEchIBNACzc3JlT59+oQJEQce8Oy4zp3l3PPODWXyiVBGVq1n2hFwBBwBR8AR2AgByE/cxIkT5d6e94RdIGx1z1Kb37fceou0bNnSTd5shJh/cQQcAUfAEXAEygcCToCWj3r2UjoC5RoBJkMQnhN+nyD33XtvsAHGROiSSy+RQw45xCdC5bp1eOEdAUfAEXAEyiICq1evkQfuuy/Y/9aBX3bbbTfpeU/PYBfUbX+WxRr3MjkCjoAj4Ag4AoUj4ARo4fj4r46AI1AGEIAA5Zo1a5bcr5OhZcuWSfXqNeTGm26UPfbYwwnQMlDHXgRHwBFwBBwBR8AQsIXP5559Tr799lvJ0pPeDzzwwHDoIQuivuvDkPK7I+AIOAKOgCNQfhBwArT81LWX1BEotwgwEcItWrQoHIowddpUqV9/B7nzH3cKp8D7ZKjcNg0vuCPgCDgCjkAZRAA7oLj33nlXPuzVS6pVqRIOPDzvL+f5mF8G69uL5Ag4Ao6AI+AIFAUBJ0CLgpL7cQQcgYxHABI0Oztb3tXJUF+1BXrwwQfL5X+9QrAHym++HS7jq9gL4Ag4Ao6AI+AIBASMAP36q6/k+eeel0pZWXLp5ZdJl65dnQD1NuIIOAKOgCPgCJRTBJwALacV78V2BMojAhCdK1askHnz5kndunWlTp065REGL7Mj4Ag4Ao6AI1CmEbCdH3PmzJHXX/uPsA/k/AvOlwYNGviiZ5mueS+cI+AIOAKOgCOweQScAN08Nv6LI+AIlEEEmBSZxqdrfZbBCvYiOQKOgCPgCDgCGxDAxM3q1avDt6pVq7rtT28ZjoAj4Ag4Ao5AOUbACdByXPledEegPCJgWiGU3QnQ8tgCvMyOgCPgCDgC5QUBW/SkvIz5Pu6Xl5r3cjoCjoAj4Ag4Apsi4AToppj4E0fAEXAEHAFHwBFwBBwBR8ARcAQcAUfAEXAEHAFHwBEoIwg4AVpGKtKL4Qg4Ao6AI+AIOAKOgCPgCDgCjoAj4Ag4Ao6AI+AIOAKbIuAE6KaY+JNyjgDbpbAZtSUX3Ubl26q2hFbZ+502Et1OTwkrVqyY1IImI82C2jvtuUKFCkkti0fuCDgCjkB5RaCgvjyKhffBUTSK99lOf7dQBWFZEP6Mefh15wg4Ao6AI+AIOAJlFwEnQMtu3XrJUoyACd2lLUQboVXa+Ugx/J6cI+AIOAKOgCOQ1gjY+FyUxTJkCh/H07o60y5ztC8u2o07R8ARcAQcAUfAEdgUASdAN8XEn5RTBGxiMm/ePPnzzz8LFSARLmvWrBn8VKlSRerVqyeVK1cOyJWmAIpWA86F3wBD0v4wMZ02bZosXrw4H2vawa677iqcMpsMR5qTJ0+WpUuX5muaVqtWTZo3by6VKlUqdpK0UxzxTZkyJT88z3faaadw8dk1YvKh8Q+OgCPgCJQIAZMLrD9dsWKF/PbbbzJp0iSZM2dOOKWcMaR+/frSunVr2X333aV69ephNwphi0KYlihjZSxQbm5uwJU7WINdrVq1pEWLFqGkfMfNnDkz4J6VlRW+M77ip3bt2iGM1VP4MUP+OGGeIRXl2XQEHAFHwBEoVQScAC1V+D3xdEEAoRjycOXKlfKvf/1LnnrqqTDhQKAsyEEwQj4hPDNpady4sey9995y+umnS4cOHYIAncpJi+WfSdLq1avlxx9/lF122UWaNm2ascJ8QbinwzPaCaThVVddJV9//XVoAzxr2LChvPfee2HiyvdEkdA2YVuyZImcd9558v333+enudtuu8kHH3wQ6rq4adK2ufr06SPnn39+yC95hsi//PLL5bbbbgu/2wQxHbD3PDgCjoAjkIkIGDnF4urzzz8vffv2DQtaOTk5YYym/8YxhrOIRt9+5plnyrnnnit16tQJ8kmixpRMxG9LebZxcu7cuXLkkUcKC9mMXeB66KGHykcffRTGOCNGb731VnnllVeCH4v75Zdflm7duoVxL5MIZ8po8uaqVavku+++k0MOOURq1Kjh8p9Vrt8dAUfAEXAEHIENCDgB6k3BEVAEjEBEK+ORRx6RBx98MGjVrV27NuCDNoBpBODXLnuGsIwW3nbbbScnnHCC/OMf/wikFP5SMWmx/E+YMEEee+wxGTx4sLz11lvSvn17nzgluIUz2YAAveiii+STTz4JhCGTKjQxv/jii6QRoIsWLZLTTjtNBg4cmJ/mXnvtFUhYyG7yVZy2ZgToV199JaecckoIy4SRtnz99ddLz549nQBNcNvx6BwBR6D8IWAE1fvvvx/61RkzZgjEJ8/pb02OsHGcO89ZZG3VqpU8/vjjctBBB2UcMZfKmgYzHNq0yD0QzSzmIcMdc8wxYZwEZyNAr732Wnn66aeDH8IR/t133w1jIWEyaeGPvHMNGzZM7rnnHpk+fboMGTIko7VZqRN3joAj4Ag4Ao5AMhBwAjQZqHqcGYcAwiOTEQjQhx9+WB566KFACEESxTuEaJuw2GfuNslBe2P//feXF154QfbYY49iE1Px6RX23QRftB3QXvi///s/mT17dtAYgYzbb7/9kpp+YXkrq79RzxCgF198sXz88cf5RHmzZs0EMpGti/gpDhlZGFbUMQ4C9NRTT5VBgwaFyRltk8lx7969t0oDlDyffPLJoU0z6YPIZ3J47733OgFaWMX4b46AI+AIbAEBxgL6akjMBx54IOwyoU9nfDCZIRqFyRb2jO+YJHnjjTfkiCOOcBLUgIm72zgJAYrcgxxkGqCdOnUK4yRYQjyD/TXXXCPPPPNMRhOgVuZZs2YFuRWCnZ0ijRo1CruAWJDHT3ybioPOvzoCjoAj4Ag4AuUKASdAy1V1e2E3hwBCIpMRI0DRALUJCsIj29zRxsCtWbNG2GYUdfjhIh7CoXlw1FFHyWuvvSbbb7990oRQJlbLly+X++67L2yrQ7jnGWl++eWXrgEaraQEfaadQICer9vGP//88zDJQmOkqZobgExs2bKlE6AJwtqjcQQcAUcgUxFgLEYm+M9//iNXX321ZGdnb1QUfmOsZrs7cgN2KdEOJZzJH9xx++67b9jGzTjDGGTPN4qwHH8BSxwEaLt27fLte4IVshgmB5DRjAClPp599tl8TU9+yzQNUMpGuTt37hy2vdNukEVYjB01alTYkcTvlM2dI+AIOAKOgCPgCOQh4ASotwRHQBFASESYjBKgbEHjORqd2OG67rrrwgSGLVRGgKJlgE3GXr16hckLkxLCcN92222DLUW0SQsTQi3tzVUEwqtdUT8WbtmyZSFvTLLIMwLwDjvsEMg5NFFtslSQEGxxROONfrZ0Cwob9be5z8TPFe+2NHkrKJzlJT4umwTEP7fvFm5zZSgoLcsfE4qos7iYRGFna+rUqUFjEn8ctMBWO+7EGZ+epcN9c44wlrb5Mf9b0gCNz6uFJ774vPAb/rlKqgG6OdwLKoPlpaD75uIxv8Rnlz3zuyPgCDgC6YyA9WvDhw8PmvvICtaP0aej1XnjjTdKly5dwiGKlAX5A/vdLGj+9NNP+f02moz049idfvTRR/PH9M2Vn/hJvyBneeBeHEecdsWHK2qcBYW38S5+/NrcuGW4bi4PWyJASYf8sl38l19+ydcARW46+uijpakSzOTT8InH0cpK+pvLy+byHp/nwuIwv5ae5ceec6cs5BXCd+zYsfk7QyBAR44cGXYC4aew/GyuDIWlG82DfSYf8VjZb9yLG180rH92BBwBR8ARcAQSiYAToIlE0+PKWARMeCuIAMWQPBMPtgQj4CHI4R+HcIlG6O+//x40PCBDETbNH8I0WoLYauQZv0XdloTTeL8QnFFHeAjQm2++WV566aX8tBs0aBCIrbZt2xaYLnFsbdrRfJTGZ+qAKx7TgvJignlR/BJ+S3HzOxMmMLSJCXe2j9v3aD6Kmj7xWjuxeHiG2xIBauGi6dpn8llQ2+F5cQnQopSlKH6srPH5sjxH70WJL+rfPzsCjoAjUJoI0GexWHrhhRcGzUL6c55xb9KkSdgdwgIlu0XoA+kPuRhX0ATt0aNHWGRjTMHxHFvPP/zwQ759cRsjrJxF7VOL258WRVYoatqWV7tbuYsyNheWD+LBbYkAxR+4gSeXYchzsC7KeEQ6BY2pPDdXWF7xU5xyU1/4j88bz7mQ8yBzIcpJd9ddd93iFvjNxWn5514UP+QLf/F5i8Zjn4tTZgvjd0fAEXAEHAFHINEIOAGaaEQ9voxEwIS4wghQtDIQ9ExgpqAm0HFnxf2ss84KBuhNmEcLFM3Ru+66axOBmbhwixcvDmHHjBkTNAohVNE6RYuT018PPPBAad26dXhGOhY3k6vx48eH006ffPLJsOWd34i3bt264TAnwhFfixYtZOeddw75Jf+WNuQpGiejR48O+UazNZo2E7Q2bdqE7f/RtEPGi/Bn8uTJYUsf+SJd4qBc2EblcxRLouMZeZs2bVq4bPLHb2wT3HHHHYMfvuPML8Tzb7/9FrCw8teuXVsaN24shx12WLCJlRciTxOBz5YWWw5JzyahlB/cyDMHDnHSO3733HNPwZZY0w0aIr/++mv+SbP8jomEvffeW6pXrx78W9nID5+pB8KQV3BhGz0Tlvr160vNmjUDzhzeQN0RH2G4+IwriAAlTxCYTIyZNPfv3z+0CeqVZ8TXsWPHoI1s+bB8MVHiKg4BShzgQtvjwC3skU6aNCmYYaBe0Tzh9FnaG3ia/1CAyB8rE79zai+YTJw4MbR/JqWERUOKg6Vo/0zoDAvSd+cIOAKOQLoiQL+GQ4uT8YdxlX6Lfg/C89VXX5XTTz89fGcMiDr6ZPo6xuRjjz022HTkO+GRBzi5nIMW8RclnUjT+nbsQHIIDn0049vq1avD+M8YyonojA34jY8jmg8+k18u6/PZVs3FAUMQjeSnqY6H9PmMRZTN8mF5icbzxx9/hLCM6/hjrGSMQu5ioRhyl7QYR9GMZbznO4688pmx7dtvv5URI0bI/PnzwzbvffbZJ2xzZ+GXvBEn+QNb0olugbf8kRfGffKMY9xB1mE8psyGD3VI/oiLnR8NGzYMsgh+wLlfv36C7IYddmQOtDGPOOKIIOdYPCGByB+e22+Mf9QVi+jsKCF/LLqTj3r16oW8Mw6SvoWx/KLFijvvvPNkypQp+WMuYyf24JErwI1ykTcLbxgQFlkEuYG2gowB5tgQpd1Sp0UZx4mHsNTfuHHjAq5ghcPEA7bKkSWR+8CV9K1egyf/4wg4Ao6AI+AIpBIBHRDdOQLlHgEVyGIqAMdUoI3deuutME4xFfxiKqTFVIiM3XbbbQEjFSY3wcrCKpGZH5ZwXCpcx1SQj61cuTKEwy+OeHj2+uuvx1Q4jamx+pCOkm8xtTca466Tg/BMBeGYToRi33zzzUZxqMAd69q1a0wnITEl30KeyTcXaetW7BhhdYISU+3QEJYykrZOyGLvvPNOTA8LCOEpI3EUlPbhhx8e0wOVNko7fCnCH50cxHRSEtJQQTjGRVl0QrHZ+HRSEzCjXPhXQjCmAnRMt3iFMJQBHHVLYUw1c2M6IQllBS/Dj886iQjPKf/f//73mBKEG6VJPORDNXvz80daqk0RUzI1dsstt4R6IS4u8NTJTUwnTjEV9mNKdodwYEw4tdEW00lESMPaCXclC2M6MQh1hb/NYU15VVM49tRTT23UXigr14IFC2LUhU4gYjqBDHWsE8XYlClTYjrZiekkaSMcKD/p6enBsU8//XSjfPGF8ispG9ODnEKbsXgp6+233x7SJO/mKAthlHSPnX/++aFtWVmi7VUnX7FLLrkkYEhYw8LiiZaHdJQ03Wz7B3PqVw+ciunJtiGK+PgsXr87Ao6AI5AOCNBPKgEU00XT/PHYZAIlx2JKSIa+lL4w3vGM8IzRl19+eQz/d955Z+yDDz4IYw9h4x19oo0RutgaxiKTKRjXrX+mP1VyK4ybunAVoiGtgpz10/z+1ltvxXR7eBiP6fMZI5AVuPOdcfq4446L/fe//82PM1o28gceV1xxRRgzdbEsjE0HH3xwGOvOPPPM/LHLxtojjzwy4ESE5IELDBhnKRv+ouXSwwdjagYohlyki70BdyUNwzipC5cBH+IiH4xr119/ff74Tf4Zx22cNEyUbI3pAlzwhxyDPz08KeTl1VdfDeM1mDLWWl7ImxLNMbUvSnL56YYvG/5YHT/yyCP545/FAa7UmWFLvvTww43kH6JZuHBhKCdyA+U02c/kP54z/pNnXagMKVMuayt6cFJoB2C1uTo944wzYkp4h7Dx467VL3KsmnkKZbY2BxaUw9oIGFHnyExKuBYYX3jofxwBR8ARcAQcgRQgwIqgO0eg3CNgAunmCFCIGly8EGjA8RwySQ8eCsIrZBITHu4QcFGhD78IjZBWCKk2MYLUgnRFgOVu3/kdIhWi6KOPPgpJIsiq5kCMSQJpWLioEMwzwiGUIoxTRoR/0n7++efDhMMmCJaWpU04wlvaqkkZJhckbpMDK3thd0hKCGAj14gTQdjI3Ghc4EL+IE2ZAFi5yAsTACYt+KEcCO96cnnwRx6J10hBS8vKxu8I+BCv5AdHPKStB0iFySVhzD+TF7XNFiYgxGuCPPEzGQU/CNCTTjop5JH8kQYEpGpx5MdPGuR56NChMSZn5o90uEjT8LW0SYMJC+njKKtdUQLU/NMmLrjgglCXxMVFnknL0uDOJOeJJ57IzxsfKH9RCdBoWSCjwYS0iNvywt3qgPqDnFXNlpCm1XO0LKeddlo+xuSZ+KLtl/jsOZNB6k+1mTYqQ/jifxwBR8ARSCME6O8gMFVTM388t35ZT4IPObU+cXPZps/VXQJhrGHMoa/mWbzjGZfu5IipdmfoU61PZhyIXjZG0D+rNl4Ya4kvPi/00zgIwL/+9a9hfLHxiz4+Gidp2ZjL2KUHSIawFgdfyB9jO2MVfbzFxRhxww03bBQf5Bn57NGjRxj7yBsXJBtEmo0JpGvxWLmQpyCNWYQjHcMhSoCCI+PylVdeGfxQHrtMvuJ3HPizKGl5Jm3CsUhJXqzsVreWHt+Ru3RnTognWm/gQnnuuOOOQJxa3q0spGUY8xvY8pvugsgnI4kUeYA88DsX4aIXebFyqcZsyAflIn3V0gxEMu2ANPBr6fOdcNx5huynB0iF8NZOrG71UK+Y2scP5bB6IVw0H3y334jvgAMOiKmma4gvikt44H8cAUfAEXAEHIEUIOAEaApA9iTSHwETSktKgBIeYQ7NQQRVBEAEPy4j/PCDAMpEAIEUjQJ+N6HZJhEIzjw3wZY7AiT+dKtZTLd2BUAh85jwWFpRoZPPhCMM8f373/8OYUhbD+8JEwT73dIyv9yjafM76aMtCgFlZS1KrRrZankkLsisa6+9NgQ3ATiKP79ZmfHPpAYNFPyQfyZlavM0COcmtOMfvwj00UmBlQOBHhzQyMGRLsI8BCgTEfJHGfHPBAzClPgMR37jGdqi5CNKgNpkgXqn/nHEjT9IaiZfxIU/yw/fySf5tWeGEfgzgYMkNly4GwFq/izPkJGWT/CwdEjD4ib/kKCffPJJfv7IY1EIUMuDbt8PkybiNawsL9SptRv7HT9McNEYxRnmtIn7778/1B9h8M8Fvkw2mSAxOadc5J94TLvmoosuCnGRJ3eOgCPgCKQbAvRNXGgislhkfaT1YwUt/hVWBut/bUyJ+uU3+lU1HxJTsy2hDyYdLuv74+/WP3NnTIhqbVrcxMvYcNlll4W+l/isn46Pj+/2G/4Y13r27BmiIh7LI2M3OwfAg36fO+MV/gkfjYcx7P333w9xUO4PP/wwyA2WjmFKGPwSD8/4bgQq3y3fBRGgELv4IS9cxBNPgCJrWB0apmCGTGfpMfbZWEX+eG7lYffClClTQjls/OOOPEO4qPxC3pEH4uU/4iNvpI+mrDnkAbRGLR/co5dhRdmszVEXyCSMsfxuZbI4yA/+yQuX4YfWsJoC2KQcLKRTdvJnZaZcLVu2DJqzjOcmnxAXn4n/+OOPt2L43RFwBBwBR8ARSDkCToCmHHJPMB0RQDBE0C4pAUqZCK/2pwJRiEBpAijbkF577bUwEWASAHmmByNsJIAiyCKQqy3EIGhCUkISEdbiQoCEGOM3HFvu0Yo455xzAmFkQix3BGk0FNGGYPtwP9WqtDBXX331JmmzNY14EXLRWPzXv/6Vr0VhgjJCf58+ffJJuRDhFv6AK1vt0I5EoDZM2PZv2pj44WJigF+EZxO+KTPbzplM4sD4559/Dtv4KCe/c0GYoVHLdi0utdsZO/vss/MnB6SLkI4WIc7qO0qA4scwJH38Q+ARhsklhLXaZQvhCyNAiRuiG+0ITBzY5ID4mWAQn9rdDFirHbPYe++9t1GboTyQgaZJQ5mJsyAC1DBlovXPf/4zpicOh3qkXZBfK4+VH41htFqs/EUhQKkXwlx66aX5eJMuExm1tRYmqmCOlgiauqTFRTmYjPZQTR4caXJB4JtWDXGACaYcMBOgNtlCXbPdna35+LMyEh/bAeO1UULk/scRcAQcgTRAgP6Sfg5TKdYH0x/Sj0FuRReEtia7pIFjSzzEmPW59Plc9KtqZzT29NNPBxM4mCWJyhPWT2PyxRZViZPxhvHrueeeC/23EWLmH5MqaLEytrE13/py+51+mnJCWuKID0wKIkDJJ+EYIzt06BA0ZtE4ZNcM8g2OMZpxxvyCIxfYPv7442HcQGYhT1Y+fsc/eSH+RBCgxBONkwXhN998M8gbyG1ohoIVfkjfyvWqbpXH2TiO2R221Vtc3JHXWJxlHEXGQBYzOY3fiYs4wcZ2QTAmI7exKMgisfnjDqmsdkGDKRp+jy7MYg4IXEwuIV5I3jfeeCOmduxD2oQlHi7D8JRTTgnlsHZHeSBS8WNthAV66oJxnDaF2SG1ox4WTi0u0oMIjTc3ECL3P46AI+AIOAKOQAoQcAI0BSB7EumPgAn+W0uAQuohyJuwh+CKUB61wQl5pgcjBWKPlXWE3//3//5fEPQRKrkgplipx04VcREPF1vMbGLBJIXJAWSRbS3DD/4hK9l+zO+UickHjs9oTzLpYZLBJKl79+4bpc2ECrLtH//4R37aCMEI2S+//HKIhzwWxeGPNBHmEXwRlIkLTN5+++38uPAHYYhmBL/jl7JADGN+gAkU5eWCKOvcuXMQ2omHC9tghKecxMWdCWj85Ixyg4nVN59NA9Sw406dMGGEeGUixqQDrV00QnBbIkDJA1sgIWWZMEIAQ2qyvZ4JMPmz8qAR2atXr1AXlJvykz6EI468csUToPjlQiOld+/eIT3i5SKf2G2FMIxvP3rYRIgPf1siQPFDWSBqmVRF44LEnqz2vIgDP9yZ8EDI449ygCWkPaQ1Dn9M8MCCvDMJ4zNbBfnNyspncEEjB/MB1PdNN90U8JyyQaMGv+4cAUfAEUgnBBiruCCzWACyPpP+jv6YcQmHn61x9JFcLPYxjtt4QHqMm68q8QZJxjhEX8pnxjDGfcsTfTRkFGMgzvpg7HCz6Gf+6McZu1mkZRwiPsZb7pBdLHzhl/is34+34clYEq8BamMA5CVjKmMt2qxopVr5GANImzzgn3QgWPXgno3GPIhFTBBFtSItL4kiQMkDF9ggd5ktV8pG3iEJDQfLs5mzwQ9jFuZ7GCOJg4VL8oisBZY23jKWIjehKUl8xMWdspktdOQH6hTcTEsVf2DEbhTSQb7BD35Jm/HatFcNT2RQxmfKgj/yQNosnltZiBOZxBbfaSvIRGZqwMhUCHHqzdKzz9Qn4zhtgh0+L774Yr69dB/HQdOdI+AIOAKOQCoRcAI0lWh7WmmLAEIYwhqCX0GHIG3JBigFI3xBBCjCOgK+pcHEB8GUiQSH5iAcxk+KiAuBGAINIdQEb8g+SEJLD0ETAbggAlRPCA1pItDaZIs8MFHAgD7almyNYmszzvxwRxiGVCRthF+EdMphNq3IX1EccZE+GqhsjSIuysLEENIXZ7hQDjRZLD3uaHlAvuEsf5SZyQbkJL9RBgg/+938UkbshBKPTUbQFGViQJrEEyVAbbJE/tBCpW7wZ/jhnzS4yKvZADXhP7oFHj+EZfKJXyYLTB4gpcHO8oofLuqCiYmVnUlpFB/8RAlQyyuTEjRPyKPlk/iZQIERkw2bxFAu6gACnPgoD/4KOwSJdkA7RKOUvBEHaUNaYgeNckTTJW3KSb6sLPhFO9XqBftj8WQqBPFdd90VSAPSw5FHJtloklAWntuEM3jwP46AI+AIpBkC9Ilc2OSMJ0BZwIwf60uaffpa+kN2k9DH2xjHnQVWfqOPxx8X/TTPXlVi1MZ1+nMuyDj6V/pc/LLIamOM+UHjkTEIZ3HamIiGIUQa8Zp/xhpIShz+SD9KgJo/Fggtbctv9M54FS0f+WLMw4/5A28+M96iFWn+rQyJJEDB95lnnglY2djHHUxY1LW0rT5YSMXhB4c/SElIZmQvFipNqxP8zQ/+0Na0+BhPkTXQ0jQ/xEm5baGXNPGHLIL8gzOcwOhlXcA23C1/d+m4S1rIAvjhM/lAJjHNUpNxIGrNIUcZAUqc5JPvyMrsREHONEc+bRznOeM66bhzBBwBR8ARcARKAwEnQEsDdU8z7RAwwT8RBKhtCzLhGyGS7WQ4E/q4m/DOHcETh6CIgXi2B3EKOVuwESxNaIWEfPTRR4Nf4uCCYLNJkAmikGnxxGEIpH9sshDNA7+RNhp8aAgixJomqxFZpA3phSNsUR3pIfyixWdxcUcTJbo1C42ZeBKQg3Ki+JCm1ZWVn995RjpMpNBmgDhmshXVdgCbKAFK+IIIUCMfLX7itjQtnaIQoOQ1irXFx3M+M5lkexjkYLdu3cLkxuqaPHC4AM7SjydAaV8Q4mgA4YjTHJ+pTyZXxAnelB9NIQ7mIE5wKwoBCvlIPRAPaRIX6UZPliVd4sRR15gtwB/pGZ78Bh5oNke1i6zMTJjRkOJk4L/97W+xV155JfbLL7+EfBLW8kwc7hwBR8ARSEcE6J+4IKro/6x/oz+kf0PDEVeUfsziii+njQksuKJZF+2bSSOqcW9hLQxjV3RLOWHpexmLcIwJZh/TZBjKwXZz64OjcTLWEAbtP8sHYw0EG1r7FifjUZQA5XeINexq42wcJw0by4iX0+ctXu7kpd8Gkz7mj/B85rKFW/Jg+U8EAUpclj7jkqVpd+pqwIABwQ91baQhJohwlN+c5ZUwPLe2AEHNwitmcSA/40llMCMNnMUBbgURoMiyOOI2v9h0pQxGfoJR/FZ08MeRL8Zi/FMWygSOOMt3VNbFH/HRlpB5aWNsv0dmxLQSZTNHnq3M9szvjoAj4Ag4Ao5AqhBwAjRVSHs6aY2ACd1bQ4Ai0DEhQVMCYdCEb8giCDkcgigOv6SJkMmW4BdeeCF21VVXhVPG2RaFhhyCpAndCJ8Il5CQjz32WIjDhNqSEKCkjRCKIM92JEsbgZs0SBshmXKQNvkoKQFKPiEmMZhvQrLFh61RHFoBlIsy2oUQ/c477+SXNXzY8MfwQ5MCm5DYS8XmJ4QxE0C0DiHeiMvKwGcIUEheK39BBCjbzEzTweorPu2iEqCkQ16Jh3QpDxrGkJBoaVBG0rOJsuFTFAKUekFD1uySRvNKunwfM2ZMqEuLlzrFTpflaUsEKO0TTRK2rlkc3NFsgtA+R7fyobV71lln5V9shzTimXomzSOOOCJfw4S2wGSaePjd6pu7tTXipw6pS9KmnbAwYHhG68M/OwKOgCOQLgjQt3Kh3YfGp/Wb9G2Mq/TJuGh/vaW8W39NGOsDLQ207aN9KYtPRjbhN+oIT59vC6b0zVyMPyajEBY71RYnd8YjO0k8Pt9852KruoUhTvp2O7SHNBlLogQo/T3p2hiPPBLvCEd5LF7ujJloJ+Ki5TPcMZFjmJAP0kkEAUpcNuYyluNIE0f5+cwOD8pNPgsjQKPhCMMhlZCFEIqM6ch/jIHknbis/OTBtGotzaIQoJZH21JveeQOwcw4fsYZZ4QxPDqeY16HtG1sbtasWSirtUHajP1uWJtf4qbdIN8gA0OI3n333aHuLHwAz/84Ao6AI+AIOAIpRsAJ0BQD7smlJwIIZAiUJSVATaBj0oOQaEIhwiBkkJ3CaUIrkwEEX7ZoI/BC9iDwmpBN+PiLuBAko1vgia84BCiCN2ljtB9BFwF3S2kbKVVSAhRsuJi0QPpZfEx+jjvuuECOsp0dksx+Q3iGSIZQxhE+emfLO4QqQjUTIiaWxAdG8bjxnXj5rSgEKJMPtrjhwDfegWFRCFBrE9gKu+GGG4L9TyO2bXJUUF7JZ2EEqGGEP/AsaEulpY22UbwWyb777pu/Pa4wAtTKz1Y3wpBXw5c8UAYwL+ii/rhoz1aXbPmzONFmhXS38hNvNIxNpviddGijmCXgoAacTSDDF//jCDgCjkCaIEDfy8XYhc1n6zetX//ss89CTgsaW6wI0ThMY9R+407/x8XiF31xdExgHCV8QfFDljH+m5kf+lbrx23MYxs5fS35pk/mTv/LOIYj7qgjHfKCPGNlJRzlPeqoo/LzEk+AkmfGjngNxGjcLIxGt1kThu8souGieTHMJqudSxbOyIuNI4kgQCkT6SOvMSbibByKYmBjJLjyOV4D1OqOdkBdIdNBEjLmWxrkPf4iLspjdjgtzaISoOCPuQGrI4vf6n9z47ili3/KbjIZ6VMP7BYiX/xu7ZBy8Mww4De+I6chj7Dgj4vWX3jgfxwBR8ARcAQcgRQg4ARoCkD2JNIfAQQxBLqSEqAItZBJGOFHkDRhEIGQkzuZxFgaaFgg/KLpiV8ETBN8+Qwpyao8k5R4kgiNErZH4cgvV1EJUMsjW6bJU0Fpk6fDDz88HL7EFnyEVhNqS0qAWl7BFiKQ+IjXyopGDJMnJgCWFhMCBGvyTBnNgSHxsEWaSZkJ2MRFWARstEDZso1GaZcuXfLjxE9RCdBnn302JBlN2/JAnrZEgBIOf5C+HTt2DBop1DF5sMu0ItDGwbYqkwvaDf6KQoBSXiaDBWkUgRPpQ45GtTiIG9MGTHL5vSgEKNouUVMM5LGol5WVbZpocOJIlwsM33333aBJCokdjTPaRojDsKN99unTJz+e8MH/OAKOgCOQRgjQ/0MOoSVvfTp9GONV9MChzWXZ+uZrrrkmkHksVr722mtBq5S4rX+n76evtDToKxlvcMQR74wAtcMVyQ8XsoCNedhnNKKMPBM343FBC23Eb2MdJlHwG+2vu3btGrKAnygBSpoWL6eGWzzhQ+QPGEYXlAnDuGkamOBgjvLyHUxYaMSvyRmJIEBNFsJ8CzIIztI3DJBjDDPKCBZRApQ84pfxHnkKP9Qf/sgvYSkvC8OPPPJIvukZ+x35xswbEBdXcQhQO33e4iPNolzmH+yNCLf0IanZhYNNdNN4tjbJnTJZPfCZuKgfNIZxxOPOEXAEHAFHwBFIJQJOgKYSbU8rbRFAkEUwLQkBSliEULZjs8XHBFoEPSYWkHBMKnD4xeA9JBS/mwCMYNujR4+gDcEp4Ww7hiB68803g4BqcSJgQhrhyC9XUQlQwrB6j12n+LTZAoUmBjY5LW3sRyKwmhC7NQSoCepso4PsIk6EYuJE0GfyZelwR2vWjP2bgExZwRFM2OJGeBOoOUQH26hoRzA5oh4pKxNHS4syF4UAJX8mnJNmvCM/hRGg1h7IA4c1UMc2GaI9MEH9z3/+Ew78QSsSbVYmFWhGWF4LI0BtokR5aA+DBw8OWYzm1dozGkKkSRj8g1lUQ6gwApQ4mLTG2x4lj2jYPP3008HGKFhxin304mAlDtLAHht3NKAhXXHkk/eFi/TBkgND0Ohl+zx1yfsQnZiRJnUNjjapJn/uHAFHwBFINwTo4+jb4u1i0geza4E+H2djWzT/9GtcjMP0hfSD7A6BNGKR7PXXXw/e8cPCKqRUdExgsQpSChffR5Ie+eKAPcLYGMoYYTtLWKDt3r17fpz0vYxH0V0sIfINfygrF3KJ5cPiZfzFkWZBBChlou/HFYQF4eLtTBLGbIdHw5AHvvdT+6DgbHnhcyIIUBvD2ZkSr4FqaRdGgIIr9YE9TFvwAyfyCcHMwVUQiSyaUveY5+EEeasn7oyL0QVPyltUApQ8MnZG46NekZtYuI8fx/nOOM6dcZwLmdDGcdKmTrnIA/IOecOkEvIkWsTx4zhpUx+0KUh2wuHi22l46H8cAUfAEXAEHIEkIeAEaJKA9WgzCwEEMATEzRGgaGPiB2EPf3YhwPEZYRDj9a1atQoCJkIelxF8FhYCj5NCEXz5HVIH4RdNTyZFCPzER7wI2RwEY0Ij/kuiAWp5JW20R0nbCCWIRA7bgby1tPGPkAtJR9rmd2sIUMOXA3Cwf0mc5AMBHBuPkLKWDs9OP/30gAOtiLB2Z2IASWZ+yR+Y9O7dO+SZ+qEuKAPEHZoUlhb4FYUAZULJhABHPPGO+AsjQC0ckzQOeiKP1DNX27ZtwwSHyRBxW16xxQqpaHkFgy0dgkR50ILFnqalaXklbtKALCZOLvxbvGBKG6POCzsFnjbDIUjUB+WwdgtGAwYMCO8DfsA9/iJuu0jL6pE88pmLMLQ98ks8vH9sL8TOGXY/2UJJ3kmb/HMxsbJteODnzhFwBByBdEKAfomL07Dpo+m/rA+GFGKxB2fyg/WH9INc9IsPP/xwfp9n4wdEqB1WRBjGODtQDj+kQ/zDhg0L8ROXOUsDczPxBycxhhqxRtrs1Ij295B/PXv2DFGR56jjO2HsgB3LK2HMxje/c5kNUH4j/sIIUBsfbOwhXvp/yFpkKFy0fIYdW/mJG78WJpEEKDZJS0KAIlORRzSAaQtGqJJHNEIhrRmzaTcmH0CKWj1wp27Hjh0bym5tDPzjD0GCOGcsxeHPsLE6isqALHxTN+TP6il6tzGcO8+pF3PWpsgD6XFnHGdM5zBEFmchRJH5/n979wFuS1JVD7wxB1QQFRURzGIAIwaQEVBUEBVQCYqISFRBlCCIjgQJCoKDgTD6wEhSERQM4FNADChGQAR5gIqiYM7p/OtX/1nn6znce1+aN/Pe3FXf17f7dFft2rWqbteu1buq6O9If67uOQMIa5mR3XMRKAJFoAgUgTOFQAnQM4Vs5Z5TCDDAGIl7EaAMtWyKw5hMiPEnnelhpl3H4M5gh2F67Nixi5E9pnYzBMVliBp8IKHIixHK2KSLXVQTl0GPeMqmATFqj+cBmng8CmwWFHny5olgMCZvRj0DVt7IWAOexKXr6RCgMKOH8pnKR67ywMmAhi65R6dsyCDNOiC+sj6Z9A4Yh0RjoCuD8iDSMjBI3BMlQHk6CLv5u6cNHI8ApQdS1oBVGZUP2Wx3XTINEugpHrzlZ0AkLqxDVMov7WzXE1OZyDWtDTEsHtkO13S85S1vebE61JYNED1P3gcRoAZi2gUv3dSPfA3EeDeRI45DmeRt8G3qp7LyLnne8543Pw4oizwN4O38e7e73W0OjOjPczc6kQEb+b7hDW+42IYc8DENfj0IJLehCBSBInA2IeA95h0Wb0vvde8vB09O73zvPEdCyCrv5BCn3rfSOnzQ8w4VyPfezY7t+oLEtaFNQvLIe/UhD3nIlCVujutf//rbvkM8uuV9H50tm+MjL3n0zNm1NcX1LdIkvr4vG/SlrzsZApQejvQ9KR+db37zm6d4M0700Q9e+9rX3uoOM/HPBgJUPw+HELohgdk7vEIFfaj6Fc+x67HJVnr5y18+48JGucWLnQMj+Ksr/b+gnhJ3r02L7nKXu8x49HPQQZpXvOIVc/bSne98580jH/nI6QlqdlJk2mzq4Q9/+OZe97rXtDPgHrtJu0/9sfnokrKoD+1EWVJu5WgoAkWgCBSBInBpIVAC9NJCuvmc1QjESNyLAEVcITd9Kc+UXtN6eVPavdNXdZsdMOhi/DNEEYa8OGIIOiMhH/GIR2wNdMaggQ4PUyGGKqOWgWmTmwxExCWTt0Diis+4tIOoeDH4EaU2jFEuxihCk4cBj4y1PEQW71OBEepggJvKlel38iX3dAlQujiODUI4BnuM4eDmN0Oal4og/jrwKtjdkMd0eViJCw9nOFuOgN5r2QhQxGjiLIP/NgAAP9pJREFUiscjYxe70/UAVX+IvgwK6WHAY/q5POUPa2ekrsEBPZXfgQA1cBbEcawJUHHEJ5cHsan262mP6vuBD3zgxdqkNNYXM7Ahj44GPAcRoNoCTA1kM20veSMiM4hPu/X/Y/CtrNqW8luD1P+JoC0aTHnmUE7/X6bMGczTS0iZ1XemQGYArO3AIvHmRf8UgSJQBM4iBLzDvOMRVt6Beb/ra1zro61lbVkYH3pMfXZ9z3veczutXbyk864MwZT3rXOmfOe9LL53qz5hTYJ5v/ogpR+PDeCdym7xUVIgT9B/rPtoMvU117ve9bZT1sV1mBovbnQVz+Gd7jkMnPUlJ0OApn+05mX6nuShfOwoIX0GnZF18obFuk8/GwjQfCC8/e1vP3VLf6avzOZ+wVTZn/3sZ8/+MXWlTNLEAzjY6sd3vYDVachK9oZ+F05sn6w1Hoxg+YxnPGM+j0znO97xjhfrx7Wbhz3sYRNz+j35yU+e7Yz9oW3C3YyNEKipFwnoaKZP6sSZvHqATjj7pwgUgSJQBC5lBEqAXsqAN7uzEwHGGqNvTYDGQGR0M/CQObsH44+ng7g5GKkhdRieAvmMRoMQ5GkM+ZyReLwzDZZ4w/HSQECSmTiu5S+eQN/oHE/RxGeMSm8NLgTSBRdcMPNmVDOOGaDkis8D9fzzz58DG0Tiox/96DlFLrISD1ErnqAsJxvWGGcTBnlEFzrD8/73v/920LTOQ54GdKaG00l8ZwMI60lZg9JgySZPBhkM+7V8cU1Jf9WrXjXrg1F+pghQuhrUrgls+SvfHcZar+pYXRv4IEXVSfB29tvasepXIG+XAIWbQ3xltTaZdoD4PG9sZOWePB1pkwbcaTfOJ0qA+r9AlEeWs3xtwsQDxLp0BtG3uMUt5v+K/FImg7MMdJQD/iEEEkfbsu6cdeiOHj06D9P3EcPqV17O/q/oQY6joQgUgSJwtiKQd6z3vHdY3td5L7MdEKH6JWtAI/piT6Rf9N7zPvWh1ft6/d5zzcaw0Y744ka2dyUbgMeh/tCHRf0PPcQRVx/q4y4vvQQy6e39K9+86539RqDx8OfBr++ydEtkOjuUx7IuAnmOkyVAkxahhoxL+YKLPgOpxlZiT+j/2GnyF8ehfH6fDQQojOHqwyzdgi1c4cU7E2amjdv8SrtIWVMW5VmvxZq6uslNbrItL3kOy+2odzNmrC0qsHkyAylthWx58QTVj5thdJvb3GaLpT6aPPX+6le/esrxhz2SpRTSjzvDmhxkvsMaopYt8kxeyVe7g8eaKN0K70URKAJFoAgUgTOIQAnQMwhuRZ87CKzJOQQSg4+hFoOe4clg3T0YdQ73xZXOAAaZc2x4OgqMVEEeDmSQab/Jw1lagxNEqAFFyDv3o4c83DfwEBiPDgMgX+PJoYs0DE1ngyADBQa1vN/0pjdt11WMISoeuck7gyT3M4CQN1k8OASyTiVIxwhn5Iegk08OhBpyUAhuycfvEMgpp3TBkUeB9M4GQutBQ+Qjew0g6GFAhgA1lTsylNdg4EQ8QJF9a8wNNg0QUkbT8uEe2dGBbvQwoEBop+2s64Me1hqLV6eyG3AYcCZP6QxAHLmnjuAamfJ0TZ4B0ZqI1HbWBKi4cJWeV2zK4Sz/Y6M9G2SmPGkb2rs25pDe/eSvTRkASS8/ZwPBI0eOzLKTFf2khYf6c7heyyPXBh8ZhJHVUASKQBE4mxFIH23TOO/Wdb+Uvt17MEfeq+kv/LbD9l5e797NDrMITGMnI+/fyPEOdURe3rd+60/22lGdzvqekGWRG5n09t7Pez4yxfPOf+5zn7u1T9SNd7X+NkQmfeDgPX/QJkgp3+te97r57o8e67LAVL+X/tNHxyyTk3JbOoAsQZ/HBuEhS4fgI72+SvBc0IfHuzKybGK1/rAtXvo2M2eiR+LzShXkSwckp75fWeDmrDz6Tx8G2QbK435keE4u/J/4xCdOefLMce9733tbFukc4sJGOuu5C+L7iHyzm91sm3/qjl1Ch/S78ox+9PARPeVUn47nPOc5F+vHpRGXnN1+PGWgm5konf4+q6R/ikARKAJF4DJAoAToZQB6szz7EGCYMu54uvFAZBgz2JwPOmJsxuA0xZoHpd29yYvRnRIzGhnCvBQNFJJeXgzW/HZmJFv/ar2RD4PUhkGMWLJjiNpwh6EuHVmR45pBipAVDEKODg8705fXcTOwSVokrDVAQ/LJ1zPTz/ebnp4yHu8MF5shWceLDpEdPQ0+dnGLTOW1zlc8SKVPXUV398g6b3hBMtoZ4smHYW79SfJDgCK8yQgGCND1VMPknTMd4A9Tcg0w5M2oz+60qXteoNnIJ/rt1rNBCu+LXS9edfCCF7xgZkueAbAd5FM+AxZrfCJ01acyeCYfR3ChnzZjQ460F0LJ1BYN+tZx6WPgC6MMBF2Lz2uV1418pFmnUy6/o4PBHG9necg3gRzEM68oZRQ/R3TPOfe1EV6+1heVfi0vcnsuAkWgCJyNCHhnIc30Kz5Eea/lXZl3qHfe+r5rRJgp8QhO72DHbnDP+1Bfw0t0/R6O7NxLnvrH2972tnNK9LpPWMt237Rym9h4T0dWZKQfy336s0FeOHZh17cqcwJZ7t1hzH4QX5/krD9+2cteNqOJs1dY9z0+wCW/nIMbvHjR6jOz6U765hvf+MbbPkN/pF9br52qfxF3LwI0G1uKI4/1h8nUR/okH2/pkzK65p0rBBPnCy+8cBtPXHKDp2sHIpdXaGaRxE5ikwmpNzogXkOaJr1z0mQN+9hWx8bHTF68wTA6wCBtJXLUEQI1Hqwz8/FHmWFpVhFbNTIiU9lTN3lGJnL6pS99afvxANlzESgCRaAIXOoIlAC91CFvhmcrAgw6Br81Chn8mZbGqN7r4PGHlDH9yCAFocOwNNAhK8bxbnndFwdxZZqzL+6MTsYiAxRxZOoSL0mkl3W7kKX0sbg9g/zoIDGF5MMz0nQjZBsCK8YnkoxXpF1dE58ha5dt5Jkpd4lrUMSQNW2efESjDZLcS94IXuRtZM2Lk/xDZzqYMq2sykQ+AtG6qseTLT2C2e7nsFBGhrVyKLtBmPXBeLZY88qUrOCnHk0JlL964OWCZE5908V6riEe9xqUuWdndOuuIkvpjYC0PhpPFUEc8ulqgyzeJuoBxvQ0MEHM8sCxoy15BgUGB2TBw9kmAwI5SFfTxniIGBSRhzhV9waRvGuUc12f2igy89hol2Ssy+O3wZjNmuSVelDf2lzynRfjj/IYQBmMW4cWGasMGRg6a8vy1N6QpbvkZ2TJ2/+AgZuBKC9WdZdBoDLAinxLODzmMY+Z9blbhsjruQgUgSJwNiOQ9633J29QHzb1H3l/hjjyHvT+N9PjRS960fxYJK33734h72Yei2Yv6Ju8z9e2ANtC38HmQPRl48B1n7ArX776SmtAmylhGj1CLO9pZ795ReozzDDQR0i3DvLQ1/BUZHOkz9R/n8iGdtKTqR8jQz+uPPoJOuj3eFpaAoe+1s/Wp+snPbMeafCjBx31i/orujjUhQ37hOjvQx2bigxx9I2WZdF3CZFJP9f6YXVHP/H1X/e9731nXHkK4tLRx8HrXve6k7hUDjYMW0a9sSd5isrn7ne/+5SjLOwlJPAb3/jGraxgax1PMyT0m2lLvHSlQWILdHQoH/sOwcoGUSfBky6ZjQRTZWJjBJMp6KI/7unj4e6jNPtFWnUS0pM+2oh1Ys8fSyhZ61Y6ejcUgSJQBIpAEbgsELiCTEdH1VAEisBAwL/DWHNqGQbqMgzS42IyjMUZbxiPyxjIzEOi3N9PwDBCl2EALsPAXoYxuwzDfhnk6zKM9mUQcMswtJdhvE45w8B8G32GkTmfRz69h1E5ZQwSbnnta1879RqG+3KNa1xjuepVr7pIo0yJO8i/ZUyJX8bOrjOduMPIXgaxtgxvghPOOzqczJkOw6ie5Vqnu+IVr7iMQcD61p7XsBsDmak3/WE4jO5lEHkTv2FwT3zgrJywSdnFGwOTWb696ls8egzDfc+83SR3DE4WdZN2os7HgGrqkYTki6s9DTJ7Yj0GwDP/MVBaxiBpYq390JGu0gjO2kDqjRztZQyktmWBlefJY3jnLmPzgylHfQ7CernKVa4yMaUnHddBHuSRm+DeGDjPI/dy9kxesPd/MkjmeYzB9Ix/tatdbbafK13pSlP3vfKMLHIc2gEs/Q/ASBmUi/5jwL7ACQ5pF7tliLyei0ARKAJnMwLed0Len2MmxPL6179+8f70Dvbe9A7VL+iDvPfyDk0/s1/5vJsd+kbv1PHBbL6b9TfyY1sMcm3aFvp39gqZx5NLZ3JjhwySc8odH+22+rIbTuQdrX/Tb+QdLm99sT75eCF6KNsg75Yx22IZm+Qtg7xbxge0iZtyCfoTZSaf7vpyffM6iKNfji7iibPu990bs4ImppEFNzrvhZs+XF0m0JlO6nId3BdXnbPV2C90Uff67EHGbuve/WBGH0E7oUeC+/pxNuTY5HDKYxeIF3nBRhrxk4b88aF4Hvpf/SwbkC76X+mUNTglz5zX9UJP/bh6UUfqVT/uYIemjRwkL3J7LgJFoAgUgSJwphAoAXqmkK3cQ4FADFJGoMBI3Msw3guMpCHDtUP69WDAb89PRKZ4OQyCok90WstI3uKIu85bPHKku7TDyZQ1OjuH4ITdGrOUZV32y6JMyiXQFd50zOHeus5PRT8yEshP/ZEbTC9JDFIG+TqSR8qU8vp9UBDPIV7aYcpCdzp75p7zJVmGg/TqsyJQBIrAmUIg70/vvryv845b92Gen2zfkPend6Vr8gXvT4dwsnLJyXvadY7IdHbP+Uy+o+mQfJQrOK4xShlnQc/iP8qxrqPUibK49uxksIy84CItLILNXrKCn7Ty9Fs8aaR1TzgepuKRIR0Zrh2Ce5GZ/PbSZUbunyJQBIpAESgClwICJUAvBZCbRRE4CAHGYw7xGJunYyDGGCWLnBx+74aTibub9mz5HeOdPsp6PGP9stI7dex8pnRd55F6dz5TIYOcdZmS78nmudY9+JyqrJPNu/GLQBEoApc2ArvvPPnnnXe67+28k/OOviTlRu/oe2n3ucnf+ZIq16Vd98lv135JefL8ZM+nIm+Np/yig/PJhr1kkXFpt5GT1bvxi0ARKAJF4PAgUAL08NR1S1oEikARKAJFoAgUgSJQBIpAESgCRaAIFIEiUAQOHQIlQA9dlbfARaAIFIEiUASKQBEoAkWgCBSBIlAEikARKAJF4PAgUAL08NR1S1oEikARKAJFoAgUgSJQBIpAESgCRaAIFIEiUAQOHQIlQA9dlbfARaAIFIEiUASKQBEoAkWgCBSBIlAEikARKAJF4PAgUAL08NR1S1oEikARKAJFoAgUgSJQBIpAESgCRaAIFIEiUAQOHQIlQA9dlbfARaAIFIEiUASKQBEoAkWgCBSBIlAEikARKAJF4PAgUAL08NR1S1oEikARKAJFoAgUgSJQBIpAESgCRaAIFIEiUAQOHQIlQA9dlbfARaAIFIEiUASKQBEoAkWgCBSBIlAEikARKAJF4PAgUAL08NR1S1oEikARKAJFoAgUgSJQBIpAESgCRaAIFIEiUAQOHQIlQA9dlbfAl2cENpvN4hDe7u3e7qSK+n//93/btElIxhWucIX87LkInDQC2pWgHbUtnTR8TVAEikARKAJFoAgUgSJQBIpAESgClwACJUAvARArogic6wiENC1Bda7X5P76q2Nk5Nu//dvvH+kUn4TkPFnS/RSza7IiUASKQBEoAkWgCBSBIlAEikARKAInhUAJ0JOCq5GLwNmLwP/+7/8ub3nLW5a3vvWty7u927stV7/61U+I7Aox9hd/8RfLb/3Wby1vfvOblytf+coz/bWvfe15LU7J0bO37o+nmfpznAmCEvm5l1z5/ed//ufyxje+cfmf//mf5RrXuMby7u/+7lOPtqXj1VifF4EiUASKQBEoAkWgCBSBIlAEisAliUAJ0EsSzcoqApcBAogmJNQ///M/Lw9+8IOXpz3tacvnfd7nLU960pOWd3qndzqQcJIOcfqSl7xkucc97rG86U1v2k6Df7/3e7/lqU996nK9611vxjkTnoOXAVyHLkvtA+H4L//yL7NtfPqnf/rycR/3cbPN7EVcngxAaXvHjh1bjh49utz2trddrnjFK8724pl29bVf+7XLO77jOy4/9mM/tnzyJ39y29LJANy4RaAIFIEzhMD97ne/5VWvetX82PkDP/ADZyiXioXAf//3fy+3utWtpn31ZV/2ZctXfdVXFZgiUASKQBEoAkXgMkCgBOhlAHqzLAKXJAKIJuFv//Zvl9vc5jbTi/POd77z8tjHPnYa2weRXNL+3d/93SSpnvvc507y6pM+6ZOW//iP/5ik1dOf/vTl/d///Q8kUS/JslTWJYsAglsd/8Ef/MFyn/vcZ3r3PvvZz14+4iM+4rQJUHJ5eP7ET/zEJN7PO++85SlPecrMTyk8+97v/d7l27/925eP+qiPWn7u535uueY1r3na+V6yCFVaESgCReDwIeDDp49V+vpb3OIWy0//9E+f0yDo1/RzwoMe9KATmv1yaRb4j/7ojxYzaoQf/MEfXO52t7uddvZne5lPu4AVUASKQBEoAkXgDCBQAvQMgFqRhwuBEJCnMq1X2tNNF5LrD//wD5cv/MIvXP793/99edSjHjVJTc/289yUt+fSfc7nfM70UPj6r//6hVeI+//1X/+1vO/7vu/bpD+d8moZp1rmtKpTSX+6Op+I3qei14nITblP5WyQ+2//9m+ThHziE5+4fOZnfubyvOc977iewccri+cO09t5G//VX/3V8q3f+q3L/e9//+nhqU1rP7yRf+Znfmb5jM/4jOW+973v27SllIks4VT+F9YyTid95PRcBIpAEbi8I/Anf/Iny7Wuda1ZzEc+8pHz3X0ul1nf9hu/8RvLB3/wBy9veMMbzrqimAFx+9vffuplqaHrXve6p63j2V7m0y5gBRSBIlAEikAROAMIlAA9A6BW5NmPQAgchMl+pEniKM2uF2VIx11y0f294s+b4w+Z4pC3zjf3d+UlnfNeccjK8YIXvGC5+c1vvrzP+7zP8qxnPWv5rM/6rH2nG5OFHDMt65nPfOby1V/91ctVr3rVhRfoeppydBR3V2c67Xc/+sonGB8UV/z9Qsq9m//xsN7v+fH0WKdL3ut6Waff6/le95Qtctd4rOV6nme7WJDpEHbbYuLuxsnvv//7v59T7wy6TLt7whOeMHVZ5y2u/Nf3Indd3vU91wacN77xjefanj/+4z++fMEXfMG2zZGHBHW8wzu8w1yXNumdyRV283QfDvuVMzjmufhrGQeVZWbYP0WgCBSBQ47AT/7kTy63u93tJgq//Mu/PD+CnquQmG3Am9Va01/xFV8xl1s528ryTd/0TXNWjn7LcjTv+q7veloqngtlPq0CNnERKAJFoAgUgTOEQAnQMwRsxV5+EUCwCEga10hEJMzaoEXShKAJEut07knzT//0T8t7vud7TgLHc8duOnHXacnm1Yf0eZd3eZdJXJnGhtjivfnhH/7hy4te9KJJaEpHz93gPjkM8e/8zu+chvmnfMqnTAIUgepZ0q11cv8f//EfZ1nlLax1280nv6VTLmdrlSpz5CfOXufokbgwU/b3eI/3mNHlvdYvMpKf366lcZavsF+6+fCiP+u8Xasr+cI9ZRaVbn7zvPXsnd/5nacE96L3RSK39114Ru6//uu/TnJwLXevdNIk3/2ei5MgroM3jHU/tRHLInzN13zNlqQUd11Ov2Gsjt/rvd5rlse93XzFQWxeeOGFy73uda/lgz7og5Zf//Vfn2vJkbfbhqVf67yO4xnsyJOneO45DpJDhiCOuMrnbAMwwfU6z3mzf4pAESgCRWD55m/+5uV7vud7JhKWz9Hvn6vh5S9/+fxwS/8LLrhg+YZv+IazrijWUn/pS1+6sLNe9rKXnbZ+50KZT7uQFVAEikARKAJF4AwgUAL0DIBakWcvAkgTRMkv/MIvzOPDPuzDlnve856T0AthgtzhSfCrv/qrizUwrV94l7vcZe6GHtLlb/7mb5YjR44sL3zhC5fXv/71s8CmXn3ap33a8tXDm/IjP/IjJ7GE1BLIFhCOv/RLvzQ9NF/xildMosk0cwTVHe5wh+VTP/VTZ7o18ZO0CDgems94xjOWV7/61dOrjpfnN37jN86p6taUes5znjM98sQLobYmgSLLup/WobLz+4tf/OIp70M/9EOnBx89bWajLMrL08AGNz/1Uz81DXfkmN28P+ZjPma59a1vvXzRF33RJGKDnzRI4V/5lV+Z6z4qm0X/n//85y82WvjzP//z5TrXuc6cpn/NA9aEJIfu8lNfplLbsEH9feAHfuCczn3Xu9517i4ubjBTf3T5/d///bk+pUGHKdrwsPbl53/+508vEZs8JZ2zNOrkh37oh0Awcb3Sla40B1Q/+7M/OwlQRB8CET68GunGg9Y6mMqFILWGKiJauyFXgKF4MPmSL/mS5SY3ucnEnxfOP/zDP0zi0DIENqK68pWvvCXvpIelNkOHD/mQD1l4kiDbg7fyOrRFdWS3dW1CG0V4Gtxa3035eWjC/AY3uMFc9006GL/5zW+e+KojhCmSmkeNdvzFX/zFyy1vecv5W3z6WM9Tfr/zO7+zGIjxHraOHL2sP+v/iscpr1By7n3vey8f8AEfsMWD7qZgass8l22+JVztaldbbnrTm07PJHqmfsR3wNgAV10b5KpD7cJmXa997Wtnu+TBLL+P//iP32I0hfdPESgCRaAITAQsS/Kbv/mbs0953etetycqf/3Xfz3f8d7lNrrT/+hDvaOPR5jq86x7+bu/+7vTbtBfsjFudKMbTRJwzwzHTX2BtS3/7M/+bF77KKbvsNQKm2Rtz1jORV/Fhvn+7//+KVLfx+bwgVbftQ5sNWX2sY4t9tEf/dFzGQCy8+FyHf9krv/0T/909tGwZBdYO10/q8/VX7GZ9J0+GD7ucY+7mOgzVWb9J9tBP63+fGTUZ9oEkd12latc5WJ69EcRKAJFoAgUgUOBwBhUNhSBQ4HAMAY3g9jcDGJo86Vf+qWb4Q24GcTcZhiFs/yeC4Pk2QyCcDPWw9wMo3UzjP1tHOkHSbYZay9thqfZPIZRv7n61a++GQb3ZhBAmzFA2AwDfkMeWcl3EDSbQRLNfIexvRmG/WaQpjONtOSMdaK2OriIjGFUbwYJtRkE22bs7D5l0E1+Y2H9zSCuNte//vXn8wc+8IEXkzF/XPSHPsMI3/zar/3aZgxgps5jh27s7GYQZLO8g1yc8sQdA4bNWLdq5kfHQc7N8tGdHmSMXb43g8SbOaSs8BtT0TaD3N089KEP3QzSasqQRn5jgHKxNGsdXUfOIHo3g7Dcllt51dsYTE3sB9m4Gd4U2/jSjQHR5iEPecjMW3z1BNsxIJnppB8b9mxe+cpXzmyVU70OT8zN4x//+Bn/Yz/2YzeD1NwMr435Wxpy5AufH/7hH96MQctmDJymbp6JA0PXn/3Zn715y1veMuXTyfWYKj7xG+TcZhDHMx381CO50t/sZjfbDDLyYnqNKeybsbnVti2Stw50HwOubXsdA65ZlrHm56xf9aZ+xyBsthd18uQnP3mK0BbGYHC2IXqoH2dx1JPf6tz/S8qjbm94wxtO2Z6n7cB6EKbz/2MMLjff9m3fNrH4hE/4hM0g2md+dB3euJtBvs//GVjRb5Cd838BDvJXr4O4nmlSP/5PB8E/ZX7iJ37iZgys5/8E3OStTcKfPOn9zwjSNxSBIlAEisD/R2B8RJzvSu/u8eH1bWDx/v7Kr/zK+W4XZ/dghxw5cuRt0uXGL/7iL873+G66/NafDYI00edZ3zDIy61eibs+jyV+NmO2wIyvDPqL9fP19fhAu5WvnxsfJfeNOwjBzfiQt41/MhfKMT4+7ytbXzRIyO3z8VFwK/5MlnkQvZvxEXab7xob1/rusfTBVpdeFIEiUASKQBE4LAjwkGkoAocCAcSRY3iRbcYC9JNwQtK4xxBdh+ExuBkeEtOIR4SKw4hG/gwPt0nCDE+GzdGjRzd/+Zd/OcmW4c22QfYwysc0p83wYJgiETCvec1rNsMbYIP4RHo+5jGP2QzviJlueAVOYhRBhTz97d/+7a1O0Rd5lrTIxLHb6Wasv7gZu53OcgzPjEnwIauQc3uViTLu00f5kEmPeMQjNsOjYsoYm9hshqflJD+Rbm9961s3X/7lXz7zRdTBis7ILOTT8ETcEmTf8i3fsi2rPIbnyMQAmYVkHh4cE8/v/u7v3px//vkbgwB67EVORffh7TmJUuVWPpghO+U9dhef5UV2IefUDVkGbg9/+MNn/SDFkLcveclLNmOzns3wOJxELCJUurFh1Iyf/JC4X/d1XzcHYAg5eSLa6Pp7v/d7ExeDKvXrrD7JGhtIbIaHzBxADa/EOeCA1/CS3GKiLEhFaZ2lR7DSCdFnAIVwROaNXdO36Vwg7OkBy11ym+4CclJ7VObhRTrxGJtbbbRJZK98kc6IefWuDrV57UibNRganpObI2NQayCI5B8e0JvhHb0lF+EqIDC12eFduiV/4WaQN7xC5wAVlghwcpH+8nJIO6bNz7KoV4SvNOoHYTk8OTfDe3Ri4f+PnqkfBDUyXVkMKpUH/tqCOh4ev7M9I1UN0LVtYfd/e97snyJQBIrAIUVAHxpC7Pu+7/suhoIPtcN7fvtcPH3hmLUw+6ekcz467J910AfrJ9gUieejlA+J3tW555y+THrv+DGzYvtceh+ZEaXSruWxIQTve32BI3LFyz39oMBmo3vi0Ef/oe957/d+7+19fS+752QC2WPmxlaGPIaH5ZTNhkie+VDoN1tAOJNlZq/oB5M/e2TMPJm20rrM9EIkNxSBIlAEikAROEwIlAA9TLV9yMvKOEeUIUsQhYzCpzzlKVuCBTyMUvEYqQxZxiLCRkCkIDUNBjzz9Zw8h2cImjElayt7TKWe6RjJiCQEF/Lz53/+5ycRlHTOCFKEDuIGsUgPHm88+xCP0iIRx1TmmdYzngdjevP0dkSeOuilfNF3Xuz8IVueY0r95sggvBjJvBqRceQiqTwzkGEgw4rHoPIpZ3RDoo6lAWa+PA1i2IuDRKOLwYj0iEGEKtnkHGR0wx+BhnhWbgMJHiXS0s8B07F+2RwYGViNNU+nTASf/Bj/Y6rZLIeypswGOGOq3EyHiIRnsEIi8tyEh/TIX+Q2XWEtzxCc9OJ5i6xWnuiFlIYZb8Qf+ZEfmbI946GbOkJ+GoCSCSvP5YMoFofcY8eObfVC+sJyLVM6QbngxVNW+zCIM6BNHfFSRSQiRrVBecFRem3rTne609SXBwxyW1nTLulHL0SxMvEsDZa8cBCXBpzwRpx75r68fWTgRQtHnjeC5/DhLY38HMsIzDbhvjI4ENhjGv/8P1AWZH/Kok3c6la3mvWjPD4KaLPyVC5lyocLBLe2KQSr+aN/ikARKAKHHAE2TcixeNqDxHvUR9g88+5HiCboH9gneT6mkOfRPI8lXbbP9GXy8U4XvN/HVPWth6c+Je9mfVxk6v/WeUrLmzEkqBk566BfTtqQnuvn7IA8N4vGx7YE+d/3vvfdPmdrnWjQLyFnI9u1WSXuC8rr41yeO+u3Lo0y85SVH8zooF4T9Os+Gkcv2DYUgSJQBIpAEThMCJQAPUy1fcjLyvBE/phmzjhHRo61kSYqjFXBmZGPSGOgI9cY7Xn2x3/8x5M4RUbx/Mt9shmWCEkDhDve8Y6bsTbhNDwRpchWaXgviBfCRn5+I6N4YCIMGdLIQsQQgo0OiNEHPOABM6778svBEwKBybOBp6ABgRBDfP5Y/XGfDGQgUix5Ij09I5f3oGnjCCykH5Ip+SWOMiibciGKM30ffkgsGCO6eAAaBClrZATvlVrz0n1yTdEnU7lNZ3cvmEUGEpHX4nnDwxEBisA0XV69maINQ0F8OpPtMK3fIEvZeC4K7ht0IRHhyIPXQCllDV5jfdc5cKDbWGd1yo5e4hwdHjHK7TnSU1D2sdHUTAcrg0I6rdPB7GlPe9qMg5gNie0+T1EytYMMVqUXghfiPfkmrTjqEZHoGOuvzvJob8qlvpGlBojyEF8ZyEy5kY53GFMkEb6wFcczpC8PUAMsBHWwkl4c/1fqXr5pF9o4Lx+y1NuxQfImH2eH9DxeedWoR0sFCJ6pX55J8hxrsc5BcXR2pjcCVN0ZaFpqQPCsoQgUgSJwriLg/XdJBh+HEGD6jBCU5Fs2JcSYflv/sxvoMtbi3MbzvhbYCD5uSc+m8NFyr+DDV/LwAUswgyT3sjTNblr2mjg+6K2DPjdpjxw5sn40Pwwqo+fpvy4WYfzQb4T09XHyRMNYk3ubr6Vw1jiuZfiwGf14oiacqTKze1Lm293udsnuYmf9fXTqNPiLQdMfRaAIFIEicAgQKAF6CCq5Rfz/CCBCEDqmXmUalN8Co94hDmIIYSUOomxsCjPjeIZg4SXIwOSVZyCBiBMY0g6GMBnIViTj2G11DgiQPvE+yIAmeYrLY5Bc3nim/pJx/pgu7p5pwRksyEOQ1rW4PDARRgYt7kf+jLjHH2VB1vLqQxbxBCTLfWto8v6UrwENglVIvq6T91j4f677iKh82MMe5tEsv+nHDGzEL49XgeyDApniKLdp4Ck3z0Rhnb/fCESkmAMhZ8BFDx6JSLfIEzeBDASxQQmCjkehgBQ0ZR05RwZyO3ikrPDipQtngyn5i5N81GEGkMhKXr2CNmA9NYNC67TuEtRkIP4Q7XR3IJAFbek7vuM7tqTsblp4KTt94YW05vUpKNOznvWsSRiqh5D9qQf50lke4q6DZ/JCRCMd41GprHT1f2OKO7wM6mAhkG3QbNkA9Y8I5g3svjM9TOXXvlLudb7iqf+73/3uszz+Z+jmPu9R8kJuuuegU+oI5vJQh094whO2Oq3z6HURKAJF4FxCwHvukgy8872ffTBN0O/re9z3vk9fk+frszWcxXPEg9AHttzLx6d1mlwfGx++9M+O9FXOZpCYybBXsE61/o18y9qsw6Mf/ehtvpZ0WYeQrdL68LlfyPqg+jP90vGC+kCW0kcaduF+IX2huFneRtwzVWZ9MSwde9Wh/pQnbOoqduV++vd+ESgCRaAIFIHLGwIlQC9vNdry7IsAo9UGM6ZQMfCtL4U4WQfGry/odxhebwgyU4VCsnjGeES0mQbPE40c3pfIIGSROA4kkYCcNNhggPMuHDtvzvWhTC3LYS0q18ge8cQ39ZiuWdeR52H0WOtLf4Y0AhTpkylcdNgvSEMWAxmxykvvUY961MQCeYXoo08I1ZBja6xcO5DDCNvIkCf84AYfBCvPkJMJ8je9OfnTdb/ypCxIPKQa0po+x8YgS9hN57dBgUGU+kWECtJnPVT1aQ1MQfzkAS9eKHDOOmR0E5x5OJq2j+i0fpnfgvVQea0g/pCZkTcfjj/y0F5eOKaUk20Qmqn5dEVqw0LbEdeRIF8Ea9bbVG9kuW9Ai+xPm8rmSvLPIY7p6wZmSFr1xbtH+0bi8liVN73i8Uy2OlYmXrRZsoFeyRfpry4MsHkIaQPWpqWLDwfIUGFdFr9309NF+1t7wtIp3rXiC+QY+GWpARgaNOfZvOifIlAEisA5iEDe15eE6volfTMCLDMgyGW/hBTLmt775ecDXeLG0zOejt77lkA5lYCktEY1MlXfpU+yRnXycraEzTokX/1U7K4811ckLXtvv2O9XudBZGbkWvM7cm3cdFBYY6Vsu+GSLnPk+7hpxgiiWd/NNmEf6LOju+v0oUnXcxEoAkWgCBSByzsCJUAv7zXc8k0EMoBAjPlyzzDm5SnEAEwcpF42nQm5I04OZIxF5m1cg8wxmECmIYwQp1m/Snzx4lVhYMBI5zGw35Hp6DzsXjc2hUFs0tU6TvSLrvTObx6SSDvecTz+cl+cvQKyyEDBRjYIKR5z6w17rHOKhEV6GYTsJS9kF69CxC4ds7O4AUQ8TCJ3Lz1278nHwYsPlvIPobsut3TRKXUSUhOupqO5v0uuSSMg5CwzEM9X95CIdrOXnkcjr0oh+SDhTHlTP3C24Y8QveSFFIxH7V3vetdtWmSfNGtiM+kiQ5uyfpq2JO7Ro0dnekS4ndWRp+cPb+DEd6abQxzkucGM9czco68yGRxqcyHypUvd8d61MQLyWlptGOa8ftWfaejZPILulnQQ6M7TRpuTVr3LU5siW77WICPPANY9Xp2WUtDeeJSuPa+n0Iv+kC09DxV6I3+lVx/KLz2vbF6/gnwF6cRB5ItjSmO8i6RvKAJFoAiciwjkHZfz6ZbBTIMQYNZAT/Aez/3Masmz3fPjHve4bdx4bbJVpPfR6mSDvjVT3KPDfufMZEgelowR97zzzsutefYhdT8ZB93fy2vyYoLHD7N1IiMesLtx8luflLhrYvhMlFmesYXYm8l3v7OPqg1FoAgUgSJQBA4bAiVAD1uNH9LyIkF4iCH9kDbZAMegImRU4hwd5BNCCBF15MiRiVjiiC8esocnhenh97///eeahIgXRBXyhxGK1GLkIoIQSLwaGO921zYIyWH9St5q1vv0xR65RL5BCD3pYRrVWldK0Yln3dOf/vRJ+iCu4lkXfafyO388QxaZIoxwM236dYNsFTzj/cgDEKlpoyH50mcdknfWp0SimuouXjaZQmCdjPdnyqcMcJR/NpLaLY+4grMDIYasQ2paZ1LYJb7Ecy/ruCL7kODuI8t4bap3XjHuJU9neJlqFwJvvZRB5JpKxqOW3O/6ru+aOiAirScrHVI3A8u1buTzQD3/IoIPQX/s2LGZv3ah7TjiPRK9yHCtzSi3dv2kJz1p5us+72O73SqT9WXpmXrUPnkeqyMkPuJU/cGeR4rBIyI7SyEoF50E/0eIbWXSPrVjQZ50Ek8Z5Jspf/5XeDEjmBGrcBHotA5+I3QRsJnq7jlSNPoic+Wzi6E8fIAIcRqcdvNY59frIlAEisDZjID3l2P9vjsdfdcb81gjOmG9uZH37UHBexappg/QH3ifu3Yv/e9B6dfPeCeuCTr9hne9D2bsD31NNr/zbpdfgn44aXe9VvWLeeaDp3XZj3f4cHkiYb1+p77yoKAs9NDPJpypMsODPZdyO/vgaMaLj8lHhj3rQ2aes2kaikARKAJFoAgcNgRKgB62Gj+k5UWGmBL01Kc+dRrqCJ2sF2VgYYCBHGL4m76LGOTZiBDyzH2GOC89HpLukelAXpHla7p0DF3TjhCgyC/T5BFF0otvsJC0zgx6hBQSMsSp+9Y8RHwhQMlLnqlCccS3DinPRFOS/RbE3S8k3Z3vfOeZ7gY3uMGWqPTMoIg3BgLyMY95zJQV4iwyI8PUa54GNp4xxRrGvErow3PxZIJ6gMULx1RwpLFyZy1M+QnKJR6SzOCIJ4qp6QYh5w0PEOns3i7sDhjJQGQ+/vGP35J3yFr31Z/yIhGtbyYkT3LUv4GdAVg2UwjGnsMnHrX0VteCKeYPfvCDZ7vgMYl8Fda6kYNsNNWPfN6P8kYep70iT7MWq2fSyJN8BLx2p43FG0Uc0/SQiMqFqJYGvg6bJiEjlde6pXDRXqWjm7O2pKziWZIgz8RFHBvw2gWY56vguQNpq03Il0eysF4zlKy9CFD60QGhn/QGa+7znPE/a3AMTyEYeu7Q/pDYymwwL9CnoQgUgSJwriKQ91ved6dbDhvjIMD0Net+PRsjeXbQe9PHQv27eJabEfQJIdVsrHiiQV/kfS2tvsjSL7t505EtJo6PnOvgA3Pyja2Q58985jO3z/TNl2QwsyH5qp/9gv4+8WKXnMkyrz1zTffPLIi1fj4qR6dsmLh+3usiUASKQBEoApd3BEqAXt5ruOWbCDCqeYjZUZzxbjObkIWeMbIdSEfkHwLGNHjElOc8N+087bBzNqM3RKZ04iAOPWfI+9ruHo8/hBgyiFegdEgeaUJG0SPT6XkLINsMdngUZgp8PDGTZ9IeHd6qvC+RrAxs6Y43UPIcWWRDHoQSTwt6ue9sCQBkHC/MLAFA38hO3nYPRdDyeDRV3vNs3GRwxdPvZIK8YWZKP5kws96X+/Ik39lgy3368XZQZzBk8CPrbFIF43WZyJX+2LFjc7o4/UxXJwumBl67JKL4CabNx5sy5Fqek02OdkFGdkWXll7ZcEA7gBm90mbkjeg8MjwztDl4IgAFxHo24zKtMLvtSpv0L3vZy7bex7wm06aV367yIeS1Q/nKj65rz07kYjAmV1o4I6LVgwHqPe5xj6mTsiIzTa2HdZYbcN+hLLxQ5YvwzUZQiFprpYU0jZ7SyNsZnjx5tRtYINWRq54ZqGkPjgx03Rekc40g9pzO+3kOzwT9UwSKQBE4RxDwfhRyPl21s1O7D4brkI0LkWMHbYxzn/vcZ0ugHRn9VoIPv9Ie1O/zPhXPcXTYLj6WhYy74IILIupi5/UamtloMRHYWUnvA/I6rKf6Z3me9fNc67ctteKwXveJhHW+PsbuFdQXmyz6+ZgsnMky64/lxzbS1+8GfWU2b9LHsgUaikARKAJFoAgcNgRKgB62Gj+k5WX4IVPiLclTLMZfCBRrWZkqhaRBKNpB1DMHIofhiAzi9YhwYeDmEMfXfgQoEotRLSBQeS0gXclGYkkjvTSIIeQmIhJ5Y4DgPiJKWiQlso4nHkJMWs+llx8iF9mEdH3oQx868/Rsv5C0yFpEnTxDMkrngJMpU3AwfQouyTe6GyDJW7msP5kdVhFY1pVUnvUGC/vps75PtqDcZKsDWLuf/OmHjEYMe84TA1bq8rGPfew0/nlC8gwRxE965brDmLpHZ6SxzX88i5dmyLkMgpKODB6iBm3wsv5XZOeMtM4aoghYRKD0PDCyiQNM4h2jHlIXlhxAtqtnU/2UxTOEPXKavtpr1s1MWgO+G97whrOepM16mfRVJtP0lImXTtJ6Rr7BpnbDs+aVr3zltjx0FodsA2RxEIqwTVnVMX2VB/Gd+9JlrU+Dq+te97qzzXpuMPaMZzxj1g8ML7zwwm06F8mX93U8U3/0R3903oel5RqUxeB97bktLTwQtrxFxVH/1t7Ns3nRP0WgCBSBcxQB7zjvyNMN+rYQcrtTxs1ayDP95F6BXZM4vP/1vQlZL9rz9dT6PDcjwfvZc32KfsgMgcjLxoKJ72x2B5sqcXxAXIcQfvq/XXyUNfmx3fSJu8FHPn0c+WaswPlEgr4pOtnYcDeQY9OhxHG29JFwJsusDPJip8J3Hej0gAc8YKsTm6KhCBSBIlAEisBhRKAE6GGs9UNY5pAzPAgYvMgsxjziDqGCEDLFlqcd8g2heP5Yk5FRzSOOxxrPP2kRnLzZkIBIKqQm49YOm8gbnng2mBEYoXa/RgghjHjOWZtKWtOy7nSnO828fLEn0xRyIUQVHeVJH4QisuzYsWPTC46HHK9CzzLFPmmnkD3+kIuMQhCGLEIEJh0jGZlkoEEmkhH5yssS8YWcNLUMuaWsvPwQT9LBijcEIxxGIbn2UGPfW/RD9PKWVW7lU2fyNaCxpIC8DXiU3wBJkL/Np5CxCEOkI09KdaPu7HCLIJTO4IsnsHIawHmO7M70ebIE5aGP+kfekQsTa7UKngnim4JvKQF1fK973WumJZvnovzIDi4GnvTWBuiozdHLIA2pLV+6xQPUgCakuro3uDSNn/crDHimaj+8UqRVvwjZW9/61rOOxbN+qHZnjbC1XiH6tSskqXVDLfMQQlZ5EJam0Kes9OYlrUzas7bBq0Vbh6WBMLnaNn3SNngde6bdWWOWl6Y6pStMEcjyM3gzeIR72gNiFP4whotAtiCOvNUp2XCkh5A480f/FIEiUATOQQTSJ52u6nZsDykXT/rI1C/oS/Lcux1pqU+3PvR6ijx7ZpeMXBOo+gx927HRX1nj/H73u9/swyLbGpiCfif39HH6WTaZpVysma5fy3PnrHEenUP4eeYjmf42H7/EMbMm6ZXt+c9//uzj2Gv6S3rm+XpDqMjf76yv9BFVWn2ONbaVhe6WK8q6n5HtrJ8TzmSZ2THJ0xJHZoi8bnzMZO+pzzxzZg81FIEiUASKQBE4jAiUAD2MtX4Iy4wIQZTwHkQIMVoRh4hQhqyD990LXvCC6THnN2M86ZxNFWZgImKQNNLyRCSP8Y4QQqIi6eRl0OKMHLNOozwRXeIi0hjfiCJ5McaRqUJIG2eDD4YrMlCe0iEdEYPIPukQbO4xrAV57hc84wlhAEIf3oHZmVR+DnF48hlQ0BXRKT/lRFzBTVnlbzd0hJvBk8PAgj70NPA5lQA3xJg1N5XbIIjnXzxWk7fBDl3FdyANEZ0IMAM0ekpjR3D6S0eONT4RZklryj/CTz48JATPggW8HvSgB02ZBlHIWCH5imvQleUP4v2LwEMmwlm+iGIEYOpR+6GjNsAbA5EYnZI3stMgL+0VrtqL8lhzVnnpri1loyz1gSSkM/zS5tRdvFAM4AxKPYcLufKJBzOSmWdyyqQtCPTTnq03Ky3Cki68XmGKHFVWbSAePWssTcVH+CqPOOLKN/WjbDyZ6Q9fOCAzb3SjG81y+F8INlOhi3QyuLzpTW864yB+xRFynj/6pwgUgSJwiBGwpEpIMMTYbsgGhImz11lfoa/aKyDV9kqzvpcPY9LrG/Ql6+e71z7y5Z6+yprVCT4651nOpvInsJ98kM6z/c7ZrC/pTuTMPtSP7Sdz/Yy3bMKZLLO1vffTx31ribM7Eofd2D4yNdNzESgCRaAIHBYESoAelppuOaehZzot0shO0shKpJBpVKY0IVpMB7ZmoyngNjsSYiAyXE2j5k3nOS9DBBGSzfR2U6F48CGgkDcJ0iFoEGAIHISPNEgvHgqIvBByyWudFuFmt07eb/S99rWvvTl/eKfy1mPw8tC0izfSUtiVEVnO9EIumWpvra6s3bmOIz2d6cRrkDeePJUVZrwbLhxTmBGHSM8QgcqNQPact2rWrFzLPtFr+fM45ZVhrU7kqwMRBot4MoqXQA8kKBJOXRhY8VSE9XljOrfBn/rVBqKzs4GgqfSm7iN0hciFBRxMATfdHDknTTB2LS4CVHrrkMZLRX3AFxmLLCZHXrwZDYiQf3RERisPOeQlyAOmBpvWEkt7VW+8TNJeEX70j9cxOdIikXmmaKfyu/nNb74lb8WR/siRI3ODI+2KPnBSVlP31Z/26f8j0/5TXh8S6IRsdtiYiEyErf8fHxN4hQopE53E4SUjD6Sp+pEvUhQu5MJJmmBMT4Nm7WDtiUq2OA6ELg9qGywhgoXkO3/0TxEoAkXgkCOgf0J++fCW9+suJOwNH3p9+AxR5sxu0R8gFfcL3u9Zn3udNumtSy3OOrAjfLzaja/fNkuA7bT21FxvaMTeskyPtPpZZzbROuhPLD2zlpG82G278ddpj3fNQzZL3ESmD4M+lPrYqM92nzfmOpzJMiOI1W/0cUYcI4vV7aMe9ajtMzZlQxEoAkWgCBSBw4bAFRR4dJANReBQIKC5D2JkGVPNl0GE+QCwDC+2ZXjhLcOzcxmDgnl/GLHL8NRbhlG9xUXcpB/E1DLIvxlXHOnHgGEZhuaMv07nBrnyHV6ByyDp5iFfeUorvxzbDMdF8pRGWjoPj76pm3RjMDHvk0NfMo4XyCSL/tLRY69AZ3GV1QEzeSujQ1ohZRWXPnR0jz7DC2Iv0ce9R9YuZn4nb3oIu/KjM7zorJwCXaK73+t06iVtIfUoTkLwIlMd74VX2lTajbTDo3cZRPkyBmzLGHguYymE2QbIGYOyqd/wgtzqtV/9Rz9lcZ32SpfUf/JNXcgfFtLAQTrlH16u2/ryPPUlDr3oA2NxU25pgzu5gnvag/SC5/TKffdgnjbit5D60fbkmXyveMUrbnEQb7cc8pJW/aTuxUugqzh76Zo4PReBIlAEisCJIeDdPj7YLWPpkmV85FqucpWrnFjCi2KND3DL+Ig8+4ZrXOMay/AcPTD9+KC7jNko890/Ptgtg8TbxtdfjGVSljFTYPFs184ZJOnsi/Q3Y9bKNt36Qh8xiMdZJnGuec1r7ht3ne5ErsfHzmWslT7timtd61p72gh7yTlTZdYXHjt2bBmzNZbxkXGB/7pPhYO8h3fscqUrXWkv1XqvCBSBIlAEisDlFoESoJfbqm3B9kMgJEwIJ4axAynmnudCnu/K2U3veWRIsybXktbzyM3zpBFnbZwmTc5JG32SLnntyk26g86RIU702Sv+blmlE5yD12666BN9d5+f6G95RFZ0jN7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      ],
      "metadata": {
        "id": "xIwQ0FaoCzSH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Use xarray to work with netCDF files in Python:**\n",
        "- To load a file: `xr.open_dataset()`: https://docs.xarray.dev/en/stable/generated/xarray.open_dataset.html"
      ],
      "metadata": {
        "id": "r7q77hww6Kq5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import xarray as xr\n",
        "from datetime import datetime\n",
        "\n",
        "filepath = '/content/sst.mon.ltm.1991-2020.nc'\n",
        "\n",
        "# Load data into the variable \"data\"\n",
        "# See the API link above for function argument info\n",
        "data = xr.open_dataset(filepath)\n",
        "display(data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 867
        },
        "id": "aTUfgvtR6FCk",
        "outputId": "5aff8f45-5ec2-4d8b-c079-1ddf4e9f3825"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/xarray/coding/times.py:699: SerializationWarning: Unable to decode time axis into full numpy.datetime64 objects, continuing using cftime.datetime objects instead, reason: dates out of range\n",
            "  dtype = _decode_cf_datetime_dtype(data, units, calendar, self.use_cftime)\n",
            "/usr/local/lib/python3.8/dist-packages/xarray/core/indexing.py:524: SerializationWarning: Unable to decode time axis into full numpy.datetime64 objects, continuing using cftime.datetime objects instead, reason: dates out of range\n",
            "  return np.asarray(array[self.key], dtype=None)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<xarray.Dataset>\n",
              "Dimensions:             (lat: 720, lon: 1440, time: 12, nbnds: 2)\n",
              "Coordinates:\n",
              "  * lat                 (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
              "  * lon                 (lon) float32 0.125 0.375 0.625 ... 359.4 359.6 359.9\n",
              "  * time                (time) object 0001-01-01 00:00:00 ... 0001-12-01 00:0...\n",
              "Dimensions without coordinates: nbnds\n",
              "Data variables:\n",
              "    climatology_bounds  (time, nbnds) datetime64[ns] ...\n",
              "    sst                 (time, lat, lon) float32 ...\n",
              "    valid_yr_count      (time, lat, lon) float32 ...\n",
              "Attributes:\n",
              "    Conventions:                    CF-1.5\n",
              "    title:                          NOAA/NCEI 1/4 Degree Daily Optimum Interp...\n",
              "    institution:                    NOAA/National Centers for Environmental I...\n",
              "    source:                         NOAA/NCEI https://www.ncei.noaa.gov/data/...\n",
              "    References:                     https://www.psl.noaa.gov/data/gridded/dat...\n",
              "    dataset_title:                  NOAA Daily Optimum Interpolation Sea Surf...\n",
              "    version:                        Version 2.1\n",
              "    comment:                        Reynolds, et al.(2007) Daily High-Resolut...\n",
              "    not_missing_threshold_percent:  minimum 3% values input to have non-missi..."
            ],
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              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: '►';\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: '▼';\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details {\n",
              "  padding-top: 4px;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  display: none;\n",
              "  grid-column: 1 / -1;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-index-preview {\n",
              "  grid-column: 2 / 5;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-name,\n",
              ".xr-var-dims,\n",
              ".xr-var-dtype,\n",
              ".xr-preview,\n",
              ".xr-attrs dt {\n",
              "  white-space: nowrap;\n",
              "  overflow: hidden;\n",
              "  text-overflow: ellipsis;\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-var-name:hover,\n",
              ".xr-var-dims:hover,\n",
              ".xr-var-dtype:hover,\n",
              ".xr-attrs dt:hover {\n",
              "  overflow: visible;\n",
              "  width: auto;\n",
              "  z-index: 1;\n",
              "}\n",
              "\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  display: none;\n",
              "  background-color: var(--xr-background-color) !important;\n",
              "  padding-bottom: 5px !important;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
              ".xr-var-data-in:checked ~ .xr-var-data,\n",
              ".xr-index-data-in:checked ~ .xr-index-data {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              ".xr-var-data > table {\n",
              "  float: right;\n",
              "}\n",
              "\n",
              ".xr-var-name span,\n",
              ".xr-var-data,\n",
              ".xr-index-name div,\n",
              ".xr-index-data,\n",
              ".xr-attrs {\n",
              "  padding-left: 25px !important;\n",
              "}\n",
              "\n",
              ".xr-attrs,\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  grid-column: 1 / -1;\n",
              "}\n",
              "\n",
              "dl.xr-attrs {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  display: grid;\n",
              "  grid-template-columns: 125px auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt,\n",
              ".xr-attrs dd {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  float: left;\n",
              "  padding-right: 10px;\n",
              "  width: auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt {\n",
              "  font-weight: normal;\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-attrs dt:hover span {\n",
              "  display: inline-block;\n",
              "  background: var(--xr-background-color);\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-attrs dd {\n",
              "  grid-column: 2;\n",
              "  white-space: pre-wrap;\n",
              "  word-break: break-all;\n",
              "}\n",
              "\n",
              ".xr-icon-database,\n",
              ".xr-icon-file-text2,\n",
              ".xr-no-icon {\n",
              "  display: inline-block;\n",
              "  vertical-align: middle;\n",
              "  width: 1em;\n",
              "  height: 1.5em !important;\n",
              "  stroke-width: 0;\n",
              "  stroke: currentColor;\n",
              "  fill: currentColor;\n",
              "}\n",
              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
              "Dimensions:             (lat: 720, lon: 1440, time: 12, nbnds: 2)\n",
              "Coordinates:\n",
              "  * lat                 (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
              "  * lon                 (lon) float32 0.125 0.375 0.625 ... 359.4 359.6 359.9\n",
              "  * time                (time) object 0001-01-01 00:00:00 ... 0001-12-01 00:0...\n",
              "Dimensions without coordinates: nbnds\n",
              "Data variables:\n",
              "    climatology_bounds  (time, nbnds) datetime64[ns] ...\n",
              "    sst                 (time, lat, lon) float32 ...\n",
              "    valid_yr_count      (time, lat, lon) float32 ...\n",
              "Attributes:\n",
              "    Conventions:                    CF-1.5\n",
              "    title:                          NOAA/NCEI 1/4 Degree Daily Optimum Interp...\n",
              "    institution:                    NOAA/National Centers for Environmental I...\n",
              "    source:                         NOAA/NCEI https://www.ncei.noaa.gov/data/...\n",
              "    References:                     https://www.psl.noaa.gov/data/gridded/dat...\n",
              "    dataset_title:                  NOAA Daily Optimum Interpolation Sea Surf...\n",
              "    version:                        Version 2.1\n",
              "    comment:                        Reynolds, et al.(2007) Daily High-Resolut...\n",
              "    not_missing_threshold_percent:  minimum 3% values input to have non-missi...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-09a7ef2d-5643-4ef9-a479-e5655617ca29' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-09a7ef2d-5643-4ef9-a479-e5655617ca29' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li><li><span class='xr-has-index'>time</span>: 12</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2c4929df-b83d-474e-8a5a-1e5275fe3e5e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2c4929df-b83d-474e-8a5a-1e5275fe3e5e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-6dcb9b7e-6a9c-4945-808e-b045a04f7652' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6dcb9b7e-6a9c-4945-808e-b045a04f7652' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d17ea5e-4a45-4340-b229-ab6c7641866e' class='xr-var-data-in' type='checkbox'><label for='data-8d17ea5e-4a45-4340-b229-ab6c7641866e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[-89.875  89.875]</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
              "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-1cf75c86-eae9-4eec-8a79-9062cb6f18c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cf75c86-eae9-4eec-8a79-9062cb6f18c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86e548e4-de8f-4071-97ab-c2c7453e4b56' class='xr-var-data-in' type='checkbox'><label for='data-86e548e4-de8f-4071-97ab-c2c7453e4b56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>actual_range :</span></dt><dd>[1.25000e-01 3.59875e+02]</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n",
              "       3.59875e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0001-01-01 00:00:00 ... 0001-12-...</div><input id='attrs-09575c0e-da20-47aa-8226-903a2c335462' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09575c0e-da20-47aa-8226-903a2c335462' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3ecbd58-d4fa-4098-86cd-0e8d90e4cb1d' class='xr-var-data-in' type='checkbox'><label for='data-f3ecbd58-d4fa-4098-86cd-0e8d90e4cb1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0030-00-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>climatology :</span></dt><dd>climatology_bounds</dd><dt><span>climo_period :</span></dt><dd>1991/01/01 - 2020/12/31</dd><dt><span>actual_range :</span></dt><dd>[-657073. -656739.]</dd><dt><span>ltm_range :</span></dt><dd>[69761. 80688.]</dd><dt><span>interpreted_actual_range :</span></dt><dd>0001/01/01 00:00:00 - 0001/12/01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeGregorian(1, 1, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 2, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 3, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 4, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 5, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 6, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 7, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 8, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 9, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 10, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 11, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 12, 1, 0, 0, 0, 0, has_year_zero=False)],\n",
              "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8991f385-1bbe-4b7e-bf5e-a6c4e8f0cc68' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8991f385-1bbe-4b7e-bf5e-a6c4e8f0cc68' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>climatology_bounds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e23a14d1-f367-4e24-b725-ba617276b11b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e23a14d1-f367-4e24-b725-ba617276b11b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1911353b-0024-4223-8368-62947a7343c8' class='xr-var-data-in' type='checkbox'><label for='data-1911353b-0024-4223-8368-62947a7343c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Climate Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>[24 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1af53606-94e9-4993-8661-c3c9bc3e6ac9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1af53606-94e9-4993-8661-c3c9bc3e6ac9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d859cf49-95f2-4ccf-a4b7-223225edab73' class='xr-var-data-in' type='checkbox'><label for='data-d859cf49-95f2-4ccf-a4b7-223225edab73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Long Term Mean Monthly Mean of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>valid_range :</span></dt><dd>[-3. 45.]</dd><dt><span>precision :</span></dt><dd>2.0</dd><dt><span>dataset :</span></dt><dd>NOAA High-resolution Blended Analysis</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Long Term Mean</dd><dt><span>parent_stat :</span></dt><dd>Monthly Mean</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>actual_range :</span></dt><dd>[-1.7969891 34.213223 ]</dd></dl></div><div class='xr-var-data'><pre>[12441600 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_yr_count</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-306f0490-0a82-4c63-84aa-5702a5319b35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-306f0490-0a82-4c63-84aa-5702a5319b35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0f3419f-02a8-4134-9456-a80022e98ea4' class='xr-var-data-in' type='checkbox'><label for='data-e0f3419f-02a8-4134-9456-a80022e98ea4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>count of non-missing values used in mean</dd></dl></div><div class='xr-var-data'><pre>[12441600 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e36e9672-068b-4f8b-996d-9e8fd61b4927' class='xr-section-summary-in' type='checkbox'  ><label for='section-e36e9672-068b-4f8b-996d-9e8fd61b4927' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b11d7000-e5b1-4212-b73b-72719f2e41bf' class='xr-index-data-in' type='checkbox'/><label for='index-b11d7000-e5b1-4212-b73b-72719f2e41bf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375,\n",
              "              -88.125, -87.875, -87.625,\n",
              "              ...\n",
              "               87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,\n",
              "               89.375,  89.625,  89.875],\n",
              "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ea875c4c-f6ff-49cd-a871-ab62d6650428' class='xr-index-data-in' type='checkbox'/><label for='index-ea875c4c-f6ff-49cd-a871-ab62d6650428' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  0.125,   0.375,   0.625,   0.875,   1.125,   1.375,   1.625,\n",
              "                1.875,   2.125,   2.375,\n",
              "              ...\n",
              "              357.625, 357.875, 358.125, 358.375, 358.625, 358.875, 359.125,\n",
              "              359.375, 359.625, 359.875],\n",
              "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9ecf18fd-265d-41d4-b6ea-12296223fb33' class='xr-index-data-in' type='checkbox'/><label for='index-9ecf18fd-265d-41d4-b6ea-12296223fb33' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([0001-01-01 00:00:00, 0001-02-01 00:00:00, 0001-03-01 00:00:00,\n",
              "             0001-04-01 00:00:00, 0001-05-01 00:00:00, 0001-06-01 00:00:00,\n",
              "             0001-07-01 00:00:00, 0001-08-01 00:00:00, 0001-09-01 00:00:00,\n",
              "             0001-10-01 00:00:00, 0001-11-01 00:00:00, 0001-12-01 00:00:00],\n",
              "            dtype=&#x27;object&#x27;, length=12, calendar=&#x27;standard&#x27;, freq=&#x27;MS&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1f987d60-ba8e-4281-9ea0-0c5aa5818e65' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1f987d60-ba8e-4281-9ea0-0c5aa5818e65' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.5</dd><dt><span>title :</span></dt><dd>NOAA/NCEI 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1</dd><dt><span>institution :</span></dt><dd>NOAA/National Centers for Environmental Information</dd><dt><span>source :</span></dt><dd>NOAA/NCEI https://www.ncei.noaa.gov/data/sea-surface-temperature-optimum-interpolation/v2.1/access/avhrr/</dd><dt><span>References :</span></dt><dd>https://www.psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html</dd><dt><span>dataset_title :</span></dt><dd>NOAA Daily Optimum Interpolation Sea Surface Temperature</dd><dt><span>version :</span></dt><dd>Version 2.1</dd><dt><span>comment :</span></dt><dd>Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang, B., C. Liu, V. Banzon, E. Freeman, G. Graham, B. Hankins, T. Smith, and H.-M. Zhang, 2021: Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1 (available at https://doi.org/10.1175/JCLI-D-20-0166.1). Anomaly is based on 1971-2000 OI.v2 SST. Satellite data: multi-satellite sensor (AVHRR+VIIRS) data. Ice data: NCEP Ice and GSFC Ice. Data less than 15 days old may be subject to revision.</dd><dt><span>not_missing_threshold_percent :</span></dt><dd>minimum 3% values input to have non-missing output value</dd></dl></div></li></ul></div></div>"
            ]
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    {
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      "source": [
        "# Select a single variable from the netCDF dataset\n",
        "data['sst']"
      ],
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      },
      "execution_count": 39,
      "outputs": [
        {
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              "<xarray.DataArray 'sst' (time: 12, lat: 720, lon: 1440)>\n",
              "[12441600 values with dtype=float32]\n",
              "Coordinates:\n",
              "  * lat      (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
              "  * lon      (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
              "  * time     (time) object 0001-01-01 00:00:00 ... 0001-12-01 00:00:00\n",
              "Attributes:\n",
              "    long_name:      Long Term Mean Monthly Mean of Sea Surface Temperature\n",
              "    units:          degC\n",
              "    valid_range:    [-3. 45.]\n",
              "    precision:      2.0\n",
              "    dataset:        NOAA High-resolution Blended Analysis\n",
              "    var_desc:       Sea Surface Temperature\n",
              "    level_desc:     Surface\n",
              "    statistic:      Long Term Mean\n",
              "    parent_stat:    Monthly Mean\n",
              "    standard_name:  sea_surface_temperature\n",
              "    actual_range:   [-1.7969891 34.213223 ]"
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              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-index-preview {\n",
              "  grid-column: 2 / 5;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-name,\n",
              ".xr-var-dims,\n",
              ".xr-var-dtype,\n",
              ".xr-preview,\n",
              ".xr-attrs dt {\n",
              "  white-space: nowrap;\n",
              "  overflow: hidden;\n",
              "  text-overflow: ellipsis;\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-var-name:hover,\n",
              ".xr-var-dims:hover,\n",
              ".xr-var-dtype:hover,\n",
              ".xr-attrs dt:hover {\n",
              "  overflow: visible;\n",
              "  width: auto;\n",
              "  z-index: 1;\n",
              "}\n",
              "\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  display: none;\n",
              "  background-color: var(--xr-background-color) !important;\n",
              "  padding-bottom: 5px !important;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
              ".xr-var-data-in:checked ~ .xr-var-data,\n",
              ".xr-index-data-in:checked ~ .xr-index-data {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              ".xr-var-data > table {\n",
              "  float: right;\n",
              "}\n",
              "\n",
              ".xr-var-name span,\n",
              ".xr-var-data,\n",
              ".xr-index-name div,\n",
              ".xr-index-data,\n",
              ".xr-attrs {\n",
              "  padding-left: 25px !important;\n",
              "}\n",
              "\n",
              ".xr-attrs,\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  grid-column: 1 / -1;\n",
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              "\n",
              "dl.xr-attrs {\n",
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              "  margin: 0;\n",
              "  display: grid;\n",
              "  grid-template-columns: 125px auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt,\n",
              ".xr-attrs dd {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  float: left;\n",
              "  padding-right: 10px;\n",
              "  width: auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt {\n",
              "  font-weight: normal;\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-attrs dt:hover span {\n",
              "  display: inline-block;\n",
              "  background: var(--xr-background-color);\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-attrs dd {\n",
              "  grid-column: 2;\n",
              "  white-space: pre-wrap;\n",
              "  word-break: break-all;\n",
              "}\n",
              "\n",
              ".xr-icon-database,\n",
              ".xr-icon-file-text2,\n",
              ".xr-no-icon {\n",
              "  display: inline-block;\n",
              "  vertical-align: middle;\n",
              "  width: 1em;\n",
              "  height: 1.5em !important;\n",
              "  stroke-width: 0;\n",
              "  stroke: currentColor;\n",
              "  fill: currentColor;\n",
              "}\n",
              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (time: 12, lat: 720, lon: 1440)&gt;\n",
              "[12441600 values with dtype=float32]\n",
              "Coordinates:\n",
              "  * lat      (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
              "  * lon      (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
              "  * time     (time) object 0001-01-01 00:00:00 ... 0001-12-01 00:00:00\n",
              "Attributes:\n",
              "    long_name:      Long Term Mean Monthly Mean of Sea Surface Temperature\n",
              "    units:          degC\n",
              "    valid_range:    [-3. 45.]\n",
              "    precision:      2.0\n",
              "    dataset:        NOAA High-resolution Blended Analysis\n",
              "    var_desc:       Sea Surface Temperature\n",
              "    level_desc:     Surface\n",
              "    statistic:      Long Term Mean\n",
              "    parent_stat:    Monthly Mean\n",
              "    standard_name:  sea_surface_temperature\n",
              "    actual_range:   [-1.7969891 34.213223 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 12</li><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c16b11fd-9400-4377-bc61-4905a514760a' class='xr-array-in' type='checkbox' checked><label for='section-c16b11fd-9400-4377-bc61-4905a514760a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[12441600 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-402e5631-33ff-4958-a5ca-7a4963f3e4e3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-402e5631-33ff-4958-a5ca-7a4963f3e4e3' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-abd599ed-8867-466c-845a-7cc57216a33e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abd599ed-8867-466c-845a-7cc57216a33e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa5117d3-7f1f-46d2-a2b1-f6f9aceca276' class='xr-var-data-in' type='checkbox'><label for='data-aa5117d3-7f1f-46d2-a2b1-f6f9aceca276' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[-89.875  89.875]</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
              "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-1839ab5e-0d64-4a51-b2dd-9d075a518f13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1839ab5e-0d64-4a51-b2dd-9d075a518f13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f7b1c67-f52b-478e-83e3-ad243edc2465' class='xr-var-data-in' type='checkbox'><label for='data-4f7b1c67-f52b-478e-83e3-ad243edc2465' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>actual_range :</span></dt><dd>[1.25000e-01 3.59875e+02]</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n",
              "       3.59875e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0001-01-01 00:00:00 ... 0001-12-...</div><input id='attrs-8285e185-f556-4571-8606-0585f98c2f4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8285e185-f556-4571-8606-0585f98c2f4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b6b7346-cff8-4386-b230-82b891578c1b' class='xr-var-data-in' type='checkbox'><label for='data-4b6b7346-cff8-4386-b230-82b891578c1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0030-00-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>climatology :</span></dt><dd>climatology_bounds</dd><dt><span>climo_period :</span></dt><dd>1991/01/01 - 2020/12/31</dd><dt><span>actual_range :</span></dt><dd>[-657073. -656739.]</dd><dt><span>ltm_range :</span></dt><dd>[69761. 80688.]</dd><dt><span>interpreted_actual_range :</span></dt><dd>0001/01/01 00:00:00 - 0001/12/01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeGregorian(1, 1, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 2, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 3, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 4, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 5, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 6, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 7, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 8, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 9, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 10, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 11, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "       cftime.DatetimeGregorian(1, 12, 1, 0, 0, 0, 0, has_year_zero=False)],\n",
              "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-566767ec-bc27-45c2-bab5-1a5b32c2254c' class='xr-section-summary-in' type='checkbox'  ><label for='section-566767ec-bc27-45c2-bab5-1a5b32c2254c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fdfc322e-2f20-4da8-9685-49e3261cc19a' class='xr-index-data-in' type='checkbox'/><label for='index-fdfc322e-2f20-4da8-9685-49e3261cc19a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375,\n",
              "              -88.125, -87.875, -87.625,\n",
              "              ...\n",
              "               87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,\n",
              "               89.375,  89.625,  89.875],\n",
              "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b6dc14f0-a743-4ed1-94b6-8b86aa737fcc' class='xr-index-data-in' type='checkbox'/><label for='index-b6dc14f0-a743-4ed1-94b6-8b86aa737fcc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  0.125,   0.375,   0.625,   0.875,   1.125,   1.375,   1.625,\n",
              "                1.875,   2.125,   2.375,\n",
              "              ...\n",
              "              357.625, 357.875, 358.125, 358.375, 358.625, 358.875, 359.125,\n",
              "              359.375, 359.625, 359.875],\n",
              "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3d67a29b-65b4-468f-a98b-b45f9aa38c54' class='xr-index-data-in' type='checkbox'/><label for='index-3d67a29b-65b4-468f-a98b-b45f9aa38c54' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([0001-01-01 00:00:00, 0001-02-01 00:00:00, 0001-03-01 00:00:00,\n",
              "             0001-04-01 00:00:00, 0001-05-01 00:00:00, 0001-06-01 00:00:00,\n",
              "             0001-07-01 00:00:00, 0001-08-01 00:00:00, 0001-09-01 00:00:00,\n",
              "             0001-10-01 00:00:00, 0001-11-01 00:00:00, 0001-12-01 00:00:00],\n",
              "            dtype=&#x27;object&#x27;, length=12, calendar=&#x27;standard&#x27;, freq=&#x27;MS&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c137a2d5-49a9-433b-a08d-c843167ebbc1' class='xr-section-summary-in' type='checkbox'  ><label for='section-c137a2d5-49a9-433b-a08d-c843167ebbc1' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Long Term Mean Monthly Mean of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>valid_range :</span></dt><dd>[-3. 45.]</dd><dt><span>precision :</span></dt><dd>2.0</dd><dt><span>dataset :</span></dt><dd>NOAA High-resolution Blended Analysis</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Long Term Mean</dd><dt><span>parent_stat :</span></dt><dd>Monthly Mean</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>actual_range :</span></dt><dd>[-1.7969891 34.213223 ]</dd></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# The metadata attributes are a dict (dictionary) that can be accessed using:\n",
        "display(data['sst'].attrs)\n",
        "print()\n",
        "print(data['sst'].attrs['units'])   # select just units"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "KOwOlbokD2PX",
        "outputId": "1b0d6377-f33e-4dc1-acc6-229083a14e37"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "{'long_name': 'Long Term Mean Monthly Mean of Sea Surface Temperature',\n",
              " 'units': 'degC',\n",
              " 'valid_range': array([-3., 45.], dtype=float32),\n",
              " 'precision': 2.0,\n",
              " 'dataset': 'NOAA High-resolution Blended Analysis',\n",
              " 'var_desc': 'Sea Surface Temperature',\n",
              " 'level_desc': 'Surface',\n",
              " 'statistic': 'Long Term Mean',\n",
              " 'parent_stat': 'Monthly Mean',\n",
              " 'standard_name': 'sea_surface_temperature',\n",
              " 'actual_range': array([-1.7969891, 34.213223 ], dtype=float32)}"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "degC\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# To subset the data, use .sel() or .isel() for selection by label or by indices\n",
        "data['sst'].sel(lat=slice(-10,10),lon=179.625,time='0001-06')\n",
        "\n",
        "# Note that the line above uses slice(lower,upper) to select a range of values"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 218
        },
        "id": "WW027SdaENOB",
        "outputId": "662c2630-8548-4d14-ff1c-28990fddb8c8"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.DataArray 'sst' (time: 1, lat: 80)>\n",
              "[80 values with dtype=float32]\n",
              "Coordinates:\n",
              "  * lat      (lat) float32 -9.875 -9.625 -9.375 -9.125 ... 9.375 9.625 9.875\n",
              "    lon      float32 179.6\n",
              "  * time     (time) object 0001-06-01 00:00:00\n",
              "Attributes:\n",
              "    long_name:      Long Term Mean Monthly Mean of Sea Surface Temperature\n",
              "    units:          degC\n",
              "    valid_range:    [-3. 45.]\n",
              "    precision:      2.0\n",
              "    dataset:        NOAA High-resolution Blended Analysis\n",
              "    var_desc:       Sea Surface Temperature\n",
              "    level_desc:     Surface\n",
              "    statistic:      Long Term Mean\n",
              "    parent_stat:    Monthly Mean\n",
              "    standard_name:  sea_surface_temperature\n",
              "    actual_range:   [-1.7969891 34.213223 ]"
            ],
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              "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
              "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
              "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
              "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
              "  --xr-background-color: var(--jp-layout-color0, white);\n",
              "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
              "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
              "}\n",
              "\n",
              "html[theme=dark],\n",
              "body[data-theme=dark],\n",
              "body.vscode-dark {\n",
              "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
              "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
              "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
              "  --xr-border-color: #1F1F1F;\n",
              "  --xr-disabled-color: #515151;\n",
              "  --xr-background-color: #111111;\n",
              "  --xr-background-color-row-even: #111111;\n",
              "  --xr-background-color-row-odd: #313131;\n",
              "}\n",
              "\n",
              ".xr-wrap {\n",
              "  display: block !important;\n",
              "  min-width: 300px;\n",
              "  max-width: 700px;\n",
              "}\n",
              "\n",
              ".xr-text-repr-fallback {\n",
              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
              "  margin-bottom: 4px;\n",
              "  border-bottom: solid 1px var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-header > div,\n",
              ".xr-header > ul {\n",
              "  display: inline;\n",
              "  margin-top: 0;\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-array-name {\n",
              "  margin-left: 2px;\n",
              "  margin-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-obj-type {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-sections {\n",
              "  padding-left: 0 !important;\n",
              "  display: grid;\n",
              "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
              "}\n",
              "\n",
              ".xr-section-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-section-item input {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-item input + label {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label {\n",
              "  cursor: pointer;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: '►';\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: '▼';\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details {\n",
              "  padding-top: 4px;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  display: none;\n",
              "  grid-column: 1 / -1;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-index-preview {\n",
              "  grid-column: 2 / 5;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-name,\n",
              ".xr-var-dims,\n",
              ".xr-var-dtype,\n",
              ".xr-preview,\n",
              ".xr-attrs dt {\n",
              "  white-space: nowrap;\n",
              "  overflow: hidden;\n",
              "  text-overflow: ellipsis;\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-var-name:hover,\n",
              ".xr-var-dims:hover,\n",
              ".xr-var-dtype:hover,\n",
              ".xr-attrs dt:hover {\n",
              "  overflow: visible;\n",
              "  width: auto;\n",
              "  z-index: 1;\n",
              "}\n",
              "\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  display: none;\n",
              "  background-color: var(--xr-background-color) !important;\n",
              "  padding-bottom: 5px !important;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
              ".xr-var-data-in:checked ~ .xr-var-data,\n",
              ".xr-index-data-in:checked ~ .xr-index-data {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              ".xr-var-data > table {\n",
              "  float: right;\n",
              "}\n",
              "\n",
              ".xr-var-name span,\n",
              ".xr-var-data,\n",
              ".xr-index-name div,\n",
              ".xr-index-data,\n",
              ".xr-attrs {\n",
              "  padding-left: 25px !important;\n",
              "}\n",
              "\n",
              ".xr-attrs,\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  grid-column: 1 / -1;\n",
              "}\n",
              "\n",
              "dl.xr-attrs {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  display: grid;\n",
              "  grid-template-columns: 125px auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt,\n",
              ".xr-attrs dd {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  float: left;\n",
              "  padding-right: 10px;\n",
              "  width: auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt {\n",
              "  font-weight: normal;\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-attrs dt:hover span {\n",
              "  display: inline-block;\n",
              "  background: var(--xr-background-color);\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-attrs dd {\n",
              "  grid-column: 2;\n",
              "  white-space: pre-wrap;\n",
              "  word-break: break-all;\n",
              "}\n",
              "\n",
              ".xr-icon-database,\n",
              ".xr-icon-file-text2,\n",
              ".xr-no-icon {\n",
              "  display: inline-block;\n",
              "  vertical-align: middle;\n",
              "  width: 1em;\n",
              "  height: 1.5em !important;\n",
              "  stroke-width: 0;\n",
              "  stroke: currentColor;\n",
              "  fill: currentColor;\n",
              "}\n",
              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (time: 1, lat: 80)&gt;\n",
              "[80 values with dtype=float32]\n",
              "Coordinates:\n",
              "  * lat      (lat) float32 -9.875 -9.625 -9.375 -9.125 ... 9.375 9.625 9.875\n",
              "    lon      float32 179.6\n",
              "  * time     (time) object 0001-06-01 00:00:00\n",
              "Attributes:\n",
              "    long_name:      Long Term Mean Monthly Mean of Sea Surface Temperature\n",
              "    units:          degC\n",
              "    valid_range:    [-3. 45.]\n",
              "    precision:      2.0\n",
              "    dataset:        NOAA High-resolution Blended Analysis\n",
              "    var_desc:       Sea Surface Temperature\n",
              "    level_desc:     Surface\n",
              "    statistic:      Long Term Mean\n",
              "    parent_stat:    Monthly Mean\n",
              "    standard_name:  sea_surface_temperature\n",
              "    actual_range:   [-1.7969891 34.213223 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>lat</span>: 80</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-32ac3ca6-6942-4d01-9fa1-a7c1896b07c4' class='xr-array-in' type='checkbox' checked><label for='section-32ac3ca6-6942-4d01-9fa1-a7c1896b07c4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[80 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-2efd4a6b-8fd2-44e9-ada4-ff3f3413d787' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2efd4a6b-8fd2-44e9-ada4-ff3f3413d787' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-9.875 -9.625 ... 9.625 9.875</div><input id='attrs-329d37dd-abf6-45fc-9c1a-de57c5007cf6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-329d37dd-abf6-45fc-9c1a-de57c5007cf6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a83fa6c-e309-49d4-a122-f43470444cf8' class='xr-var-data-in' type='checkbox'><label for='data-2a83fa6c-e309-49d4-a122-f43470444cf8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[-89.875  89.875]</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-9.875, -9.625, -9.375, -9.125, -8.875, -8.625, -8.375, -8.125, -7.875,\n",
              "       -7.625, -7.375, -7.125, -6.875, -6.625, -6.375, -6.125, -5.875, -5.625,\n",
              "       -5.375, -5.125, -4.875, -4.625, -4.375, -4.125, -3.875, -3.625, -3.375,\n",
              "       -3.125, -2.875, -2.625, -2.375, -2.125, -1.875, -1.625, -1.375, -1.125,\n",
              "       -0.875, -0.625, -0.375, -0.125,  0.125,  0.375,  0.625,  0.875,  1.125,\n",
              "        1.375,  1.625,  1.875,  2.125,  2.375,  2.625,  2.875,  3.125,  3.375,\n",
              "        3.625,  3.875,  4.125,  4.375,  4.625,  4.875,  5.125,  5.375,  5.625,\n",
              "        5.875,  6.125,  6.375,  6.625,  6.875,  7.125,  7.375,  7.625,  7.875,\n",
              "        8.125,  8.375,  8.625,  8.875,  9.125,  9.375,  9.625,  9.875],\n",
              "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>179.6</div><input id='attrs-5b47ad04-43eb-4f8f-9d64-ebe36543fd0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b47ad04-43eb-4f8f-9d64-ebe36543fd0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ab582a8-7547-4f85-8264-68b73522e1dd' class='xr-var-data-in' type='checkbox'><label for='data-5ab582a8-7547-4f85-8264-68b73522e1dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>actual_range :</span></dt><dd>[1.25000e-01 3.59875e+02]</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(179.625, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0001-06-01 00:00:00</div><input id='attrs-ca72c228-0210-4cef-945e-d0b716f7f677' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca72c228-0210-4cef-945e-d0b716f7f677' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9a2d32c-2fb2-4b9d-b97f-1169af7ff717' class='xr-var-data-in' type='checkbox'><label for='data-c9a2d32c-2fb2-4b9d-b97f-1169af7ff717' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0030-00-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>climatology :</span></dt><dd>climatology_bounds</dd><dt><span>climo_period :</span></dt><dd>1991/01/01 - 2020/12/31</dd><dt><span>actual_range :</span></dt><dd>[-657073. -656739.]</dd><dt><span>ltm_range :</span></dt><dd>[69761. 80688.]</dd><dt><span>interpreted_actual_range :</span></dt><dd>0001/01/01 00:00:00 - 0001/12/01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeGregorian(1, 6, 1, 0, 0, 0, 0, has_year_zero=False)],\n",
              "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1238faa0-c744-418f-ad52-4e076f127dd5' class='xr-section-summary-in' type='checkbox'  ><label for='section-1238faa0-c744-418f-ad52-4e076f127dd5' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ceae7f5a-7e34-47cb-aca5-c877ff141612' class='xr-index-data-in' type='checkbox'/><label for='index-ceae7f5a-7e34-47cb-aca5-c877ff141612' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-9.875, -9.625, -9.375, -9.125, -8.875, -8.625, -8.375, -8.125,\n",
              "              -7.875, -7.625, -7.375, -7.125, -6.875, -6.625, -6.375, -6.125,\n",
              "              -5.875, -5.625, -5.375, -5.125, -4.875, -4.625, -4.375, -4.125,\n",
              "              -3.875, -3.625, -3.375, -3.125, -2.875, -2.625, -2.375, -2.125,\n",
              "              -1.875, -1.625, -1.375, -1.125, -0.875, -0.625, -0.375, -0.125,\n",
              "               0.125,  0.375,  0.625,  0.875,  1.125,  1.375,  1.625,  1.875,\n",
              "               2.125,  2.375,  2.625,  2.875,  3.125,  3.375,  3.625,  3.875,\n",
              "               4.125,  4.375,  4.625,  4.875,  5.125,  5.375,  5.625,  5.875,\n",
              "               6.125,  6.375,  6.625,  6.875,  7.125,  7.375,  7.625,  7.875,\n",
              "               8.125,  8.375,  8.625,  8.875,  9.125,  9.375,  9.625,  9.875],\n",
              "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c17fe35c-4997-47e7-911a-355023bf8569' class='xr-index-data-in' type='checkbox'/><label for='index-c17fe35c-4997-47e7-911a-355023bf8569' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([0001-06-01 00:00:00],\n",
              "            dtype=&#x27;object&#x27;, length=1, calendar=&#x27;standard&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47d36aad-81ea-4482-a65a-37b178dd009a' class='xr-section-summary-in' type='checkbox'  ><label for='section-47d36aad-81ea-4482-a65a-37b178dd009a' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Long Term Mean Monthly Mean of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>valid_range :</span></dt><dd>[-3. 45.]</dd><dt><span>precision :</span></dt><dd>2.0</dd><dt><span>dataset :</span></dt><dd>NOAA High-resolution Blended Analysis</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Long Term Mean</dd><dt><span>parent_stat :</span></dt><dd>Monthly Mean</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>actual_range :</span></dt><dd>[-1.7969891 34.213223 ]</dd></dl></div></li></ul></div></div>"
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              "<xarray.DataArray 'sst' (lat: 720, lon: 1440)>\n",
              "[1036800 values with dtype=float32]\n",
              "Coordinates:\n",
              "  * lat      (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
              "  * lon      (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
              "    time     object 0001-06-01 00:00:00\n",
              "Attributes:\n",
              "    long_name:      Long Term Mean Monthly Mean of Sea Surface Temperature\n",
              "    units:          degC\n",
              "    valid_range:    [-3. 45.]\n",
              "    precision:      2.0\n",
              "    dataset:        NOAA High-resolution Blended Analysis\n",
              "    var_desc:       Sea Surface Temperature\n",
              "    level_desc:     Surface\n",
              "    statistic:      Long Term Mean\n",
              "    parent_stat:    Monthly Mean\n",
              "    standard_name:  sea_surface_temperature\n",
              "    actual_range:   [-1.7969891 34.213223 ]"
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              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (lat: 720, lon: 1440)&gt;\n",
              "[1036800 values with dtype=float32]\n",
              "Coordinates:\n",
              "  * lat      (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
              "  * lon      (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
              "    time     object 0001-06-01 00:00:00\n",
              "Attributes:\n",
              "    long_name:      Long Term Mean Monthly Mean of Sea Surface Temperature\n",
              "    units:          degC\n",
              "    valid_range:    [-3. 45.]\n",
              "    precision:      2.0\n",
              "    dataset:        NOAA High-resolution Blended Analysis\n",
              "    var_desc:       Sea Surface Temperature\n",
              "    level_desc:     Surface\n",
              "    statistic:      Long Term Mean\n",
              "    parent_stat:    Monthly Mean\n",
              "    standard_name:  sea_surface_temperature\n",
              "    actual_range:   [-1.7969891 34.213223 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d70587c1-8eca-4684-b164-0d39c6d3f652' class='xr-array-in' type='checkbox' checked><label for='section-d70587c1-8eca-4684-b164-0d39c6d3f652' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[1036800 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-2031ae1b-b144-41a6-b290-6b89b8c8cee0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2031ae1b-b144-41a6-b290-6b89b8c8cee0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-bf810347-4757-4b0b-ae8d-8a2cca106285' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf810347-4757-4b0b-ae8d-8a2cca106285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49f69ecc-bec5-4b25-b6c5-b3738e7dacf9' class='xr-var-data-in' type='checkbox'><label for='data-49f69ecc-bec5-4b25-b6c5-b3738e7dacf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[-89.875  89.875]</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
              "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-c98fccad-4c5a-407b-8d29-8b6205624904' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c98fccad-4c5a-407b-8d29-8b6205624904' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5584f0e4-0b3e-4151-a06f-ffd18a31b941' class='xr-var-data-in' type='checkbox'><label for='data-5584f0e4-0b3e-4151-a06f-ffd18a31b941' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>actual_range :</span></dt><dd>[1.25000e-01 3.59875e+02]</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n",
              "       3.59875e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0001-06-01 00:00:00</div><input id='attrs-dc97f68d-82a6-4389-99b9-53a9e69a9b03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc97f68d-82a6-4389-99b9-53a9e69a9b03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4373c241-0971-4545-84df-28d4803ba270' class='xr-var-data-in' type='checkbox'><label for='data-4373c241-0971-4545-84df-28d4803ba270' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0030-00-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>climatology :</span></dt><dd>climatology_bounds</dd><dt><span>climo_period :</span></dt><dd>1991/01/01 - 2020/12/31</dd><dt><span>actual_range :</span></dt><dd>[-657073. -656739.]</dd><dt><span>ltm_range :</span></dt><dd>[69761. 80688.]</dd><dt><span>interpreted_actual_range :</span></dt><dd>0001/01/01 00:00:00 - 0001/12/01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeGregorian(1, 6, 1, 0, 0, 0, 0, has_year_zero=False),\n",
              "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e276c68-05b3-4cca-94ed-c109e5be5c76' class='xr-section-summary-in' type='checkbox'  ><label for='section-0e276c68-05b3-4cca-94ed-c109e5be5c76' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-09ba4002-6000-4892-a857-aa0df192868e' class='xr-index-data-in' type='checkbox'/><label for='index-09ba4002-6000-4892-a857-aa0df192868e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375,\n",
              "              -88.125, -87.875, -87.625,\n",
              "              ...\n",
              "               87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,\n",
              "               89.375,  89.625,  89.875],\n",
              "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1bc6c348-5002-48c1-bfe8-9452b2353bb9' class='xr-index-data-in' type='checkbox'/><label for='index-1bc6c348-5002-48c1-bfe8-9452b2353bb9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  0.125,   0.375,   0.625,   0.875,   1.125,   1.375,   1.625,\n",
              "                1.875,   2.125,   2.375,\n",
              "              ...\n",
              "              357.625, 357.875, 358.125, 358.375, 358.625, 358.875, 359.125,\n",
              "              359.375, 359.625, 359.875],\n",
              "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-45aad8f8-4a05-4e67-b7e7-16c9e4e73d14' class='xr-section-summary-in' type='checkbox'  ><label for='section-45aad8f8-4a05-4e67-b7e7-16c9e4e73d14' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Long Term Mean Monthly Mean of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>valid_range :</span></dt><dd>[-3. 45.]</dd><dt><span>precision :</span></dt><dd>2.0</dd><dt><span>dataset :</span></dt><dd>NOAA High-resolution Blended Analysis</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Long Term Mean</dd><dt><span>parent_stat :</span></dt><dd>Monthly Mean</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>actual_range :</span></dt><dd>[-1.7969891 34.213223 ]</dd></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
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    },
    {
      "cell_type": "code",
      "source": [
        "# Similar to Pandas, you can apply NumPy functions such as mean() to Xarray objects\n",
        "\n",
        "# Calculate the average SST in June at 179.625°E between 10°S-10°N\n",
        "display(data['sst'].sel(lat=slice(-10,10),lon=179.625,time='0001-06').mean())\n",
        "\n",
        "# Extract the value from Xarray into NumPy\n",
        "data['sst'].sel(lat=slice(-10,10),lon=179.625,time='0001-06').mean().values"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 193
        },
        "id": "sKMJXUptE91O",
        "outputId": "b2a4b94d-66fd-4de1-e5ab-443ef3394198"
      },
      "execution_count": 43,
      "outputs": [
        {
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            "text/plain": [
              "<xarray.DataArray 'sst' ()>\n",
              "array(28.989391, dtype=float32)\n",
              "Coordinates:\n",
              "    lon      float32 179.6"
            ],
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              "  text-overflow: ellipsis;\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-var-name:hover,\n",
              ".xr-var-dims:hover,\n",
              ".xr-var-dtype:hover,\n",
              ".xr-attrs dt:hover {\n",
              "  overflow: visible;\n",
              "  width: auto;\n",
              "  z-index: 1;\n",
              "}\n",
              "\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  display: none;\n",
              "  background-color: var(--xr-background-color) !important;\n",
              "  padding-bottom: 5px !important;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
              ".xr-var-data-in:checked ~ .xr-var-data,\n",
              ".xr-index-data-in:checked ~ .xr-index-data {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              ".xr-var-data > table {\n",
              "  float: right;\n",
              "}\n",
              "\n",
              ".xr-var-name span,\n",
              ".xr-var-data,\n",
              ".xr-index-name div,\n",
              ".xr-index-data,\n",
              ".xr-attrs {\n",
              "  padding-left: 25px !important;\n",
              "}\n",
              "\n",
              ".xr-attrs,\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  grid-column: 1 / -1;\n",
              "}\n",
              "\n",
              "dl.xr-attrs {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  display: grid;\n",
              "  grid-template-columns: 125px auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt,\n",
              ".xr-attrs dd {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  float: left;\n",
              "  padding-right: 10px;\n",
              "  width: auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt {\n",
              "  font-weight: normal;\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-attrs dt:hover span {\n",
              "  display: inline-block;\n",
              "  background: var(--xr-background-color);\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-attrs dd {\n",
              "  grid-column: 2;\n",
              "  white-space: pre-wrap;\n",
              "  word-break: break-all;\n",
              "}\n",
              "\n",
              ".xr-icon-database,\n",
              ".xr-icon-file-text2,\n",
              ".xr-no-icon {\n",
              "  display: inline-block;\n",
              "  vertical-align: middle;\n",
              "  width: 1em;\n",
              "  height: 1.5em !important;\n",
              "  stroke-width: 0;\n",
              "  stroke: currentColor;\n",
              "  fill: currentColor;\n",
              "}\n",
              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; ()&gt;\n",
              "array(28.989391, dtype=float32)\n",
              "Coordinates:\n",
              "    lon      float32 179.6</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dfd25f08-c6e8-4882-bc00-b4c7c9a02339' class='xr-array-in' type='checkbox' checked><label for='section-dfd25f08-c6e8-4882-bc00-b4c7c9a02339' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>28.99</span></div><div class='xr-array-data'><pre>array(28.989391, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6aa00f97-f37a-45a2-bf02-64a6c0352956' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6aa00f97-f37a-45a2-bf02-64a6c0352956' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>179.6</div><input id='attrs-fcd12eb2-7abe-4b91-abb5-8fa7f5537ac6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcd12eb2-7abe-4b91-abb5-8fa7f5537ac6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e17d2b21-d992-47f8-a5ea-99ea1e1040dc' class='xr-var-data-in' type='checkbox'><label for='data-e17d2b21-d992-47f8-a5ea-99ea1e1040dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>actual_range :</span></dt><dd>[1.25000e-01 3.59875e+02]</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(179.625, dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2442708a-3173-4e2d-8c21-81d21236d26d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2442708a-3173-4e2d-8c21-81d21236d26d' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-73f6ef0f-25c8-45ea-8183-53416cb53309' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-73f6ef0f-25c8-45ea-8183-53416cb53309' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(28.989391, dtype=float32)"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Matplotlib 2D plots and Cartopy maps\n",
        "\n",
        "OCEAN 215 slides:\n",
        "- [Lesson 12: Plotting review, 2-D plots, and mapping](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_12.pdf)"
      ],
      "metadata": {
        "id": "5kyIvlimFpkM"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Key functions/resources:\n",
        "- Pseudocolor plots (`plt.pcolormesh()`): https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.pcolormesh.html\n",
        "- Filled contour plots (`plt.contourf()`): https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.contourf.html\n",
        "- Creating maps with Cartopy: https://scitools.org.uk/cartopy/docs/latest/matplotlib/intro.html"
      ],
      "metadata": {
        "id": "pN6YZtNyHP6G"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "First, it's worth knowing that Pandas and Xarray have cool built-in plotting capabilities that you can access using `.plot()`. These are great for quick exploration of data, but it's harder to customize plots afterwards:"
      ],
      "metadata": {
        "id": "crYdCverGt6V"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Load and plot CSV data in just 2 lines!\n",
        "data = pd.read_csv('/content/sst0n170w_mon.txt',delimiter=' ',index_col=0,parse_dates=['Date'])\n",
        "data['SST'].plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "id": "Yra55-zjF3zj",
        "outputId": "327dd4a5-fed4-4c30-a04d-128952924ffb"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ff002b06520>"
            ]
          },
          "metadata": {},
          "execution_count": 44
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Load and plot netCDF data in just 2 lines!\n",
        "data = xr.open_dataset('/content/sst.mon.ltm.1991-2020.nc')\n",
        "data['sst'].sel(time='0001-01').plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 401
        },
        "id": "Cvn4DtEOGdeg",
        "outputId": "b31b3e49-7088-46fc-f89c-09b41830e9f5"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/xarray/coding/times.py:699: SerializationWarning: Unable to decode time axis into full numpy.datetime64 objects, continuing using cftime.datetime objects instead, reason: dates out of range\n",
            "  dtype = _decode_cf_datetime_dtype(data, units, calendar, self.use_cftime)\n",
            "/usr/local/lib/python3.8/dist-packages/xarray/core/indexing.py:524: SerializationWarning: Unable to decode time axis into full numpy.datetime64 objects, continuing using cftime.datetime objects instead, reason: dates out of range\n",
            "  return np.asarray(array[self.key], dtype=None)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.QuadMesh at 0x7ff002abda00>"
            ]
          },
          "metadata": {},
          "execution_count": 45
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a pseudocolor plot using Matplotlib\n",
        "\n",
        "# First, subset data to the region and time of interest\n",
        "data_subset = data['sst'].sel(lat=slice(-25,25),lon=slice(120,280),time='0001-03')\n",
        "\n",
        "# \"Squeeze\" out the non-existent time dimension\n",
        "data_subset = data_subset.squeeze()\n",
        "\n",
        "plt.figure(figsize=(10,4))\n",
        "plt.pcolormesh(data_subset['lon'],data_subset['lat'],data_subset,\n",
        "               cmap='RdBu_r')\n",
        "plt.colorbar(label='SST (°C)')\n",
        "plt.xlabel('Longitude (°E)')\n",
        "plt.ylabel('Latitude (°N)')\n",
        "plt.title('OISST climatology for March');\n",
        "\n",
        "# Add scatter points for Honolulu and Fiji\n",
        "plt.scatter(180+180-157.9,21.3,marker='o',s=100,color='g',label='Honolulu')\n",
        "plt.scatter(178.1,-17.7,marker='o',s=100,color='gold',label='Fiji')\n",
        "plt.legend(loc='lower right');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "HMMRlJGDHCAy",
        "outputId": "64b5962a-848f-4d2e-e7dc-5a0076daf7e3"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "At the moment, Cartopy doesn't always play nice with Google Colab. To create maps using Cartopy, you must run the code below once per notebook to install the package. Your session may \"crash\" during installation but that is part of the install process. Afterwards, you can comment out the code and you shouldn't need to run it again."
      ],
      "metadata": {
        "id": "8ksei6d5JHkE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# !pip install -q condacolab\n",
        "# import condacolab\n",
        "# condacolab.install()\n",
        "# !mamba install -q -c conda-forge cartopy"
      ],
      "metadata": {
        "id": "o7v_FRJ_Kb3U"
      },
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import cartopy.crs as ccrs\n",
        "import cartopy.feature as cfeature\n",
        "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER"
      ],
      "metadata": {
        "id": "3hPFvUFSJk3D"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=(14,4))\n",
        "ax = plt.axes(projection=ccrs.PlateCarree(central_longitude=180.0))\n",
        "\n",
        "pcm = ax.pcolormesh(data_subset['lon'],data_subset['lat'],data_subset,\n",
        "                    transform=ccrs.PlateCarree())\n",
        "contours = ax.contour(data_subset['lon'],data_subset['lat'],data_subset,\n",
        "                      levels=12,colors='w',transform=ccrs.PlateCarree())\n",
        "ax.clabel(contours,levels=contours.levels[::2],colors='w',fontsize=8)\n",
        "c = plt.colorbar(pcm,ax=ax,label='SST (°C)')\n",
        "\n",
        "ax.add_feature(cfeature.LAND,color='k',alpha=0.8)\n",
        "gl = ax.gridlines(crs=ccrs.PlateCarree(),draw_labels=True,\n",
        "                  linewidth=0.5,color='w',alpha=0.7,linestyle='--')\n",
        "gl.xlabels_top = False\n",
        "gl.ylabels_right = False\n",
        "gl.xformatter = LONGITUDE_FORMATTER\n",
        "gl.yformatter = LATITUDE_FORMATTER"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 374
        },
        "id": "ASki25B5Pgb2",
        "outputId": "d482d3ea-fb34-43db-ec69-168507792af7"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/site-packages/cartopy/mpl/gridliner.py:451: UserWarning: The .xlabels_top attribute is deprecated. Please use .top_labels to toggle visibility instead.\n",
            "  warnings.warn('The .xlabels_top attribute is deprecated. Please '\n",
            "/usr/local/lib/python3.8/site-packages/cartopy/mpl/gridliner.py:487: UserWarning: The .ylabels_right attribute is deprecated. Please use .right_labels to toggle visibility instead.\n",
            "  warnings.warn('The .ylabels_right attribute is deprecated. Please '\n",
            "/usr/local/lib/python3.8/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naturalearth.s3.amazonaws.com/50m_physical/ne_50m_land.zip\n",
            "  warnings.warn(f'Downloading: {url}', DownloadWarning)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1008x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Other topics\n",
        "\n",
        "OCEAN 215 slides:\n",
        "- [Lesson 14: SciPy (linear regression, 1-D and 2-D interpolation)](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_14.pdf)\n",
        "- [Lesson 15: Pandas - counting, sorting, grouping, correlating, resampling, and smoothing data](https://nbviewer.org/github/ethan-campbell/OCEAN_215/blob/main/materials/lessons/lesson_15_notebook.ipynb)\n",
        "- [Lesson 16: Functions, organization, external packages, and string formatting](https://ethan-campbell.github.io/OCEAN_215/materials/lessons/lesson_16.pdf)"
      ],
      "metadata": {
        "id": "xmigpovA8kih"
      }
    }
  ]
}