map_data_demo_SO2.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "map_data_demo_SO2.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "qDXd2usnDXcC",
        "W29K5ecX28Ef",
        "Hp0aCNGR3LKs",
        "93Y8n8KKhmnN",
        "lyZE4KjIQGuW"
      ],
      "toc_visible": true,
      "authorship_tag": "ABX9TyM7HC+bW4VTcnFuuQ+G8hSW",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/C3Suryansu/NASA-Sentinel-Data-Extraction/blob/main/map_data_demo_SO2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qDXd2usnDXcC"
      },
      "source": [
        "#reading nc file\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2BOAuWaWDaF7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9342f370-5bcd-4fe3-9be6-97c5cfeeefda"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "test_data.SEN3\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eFlKkfuTDbmM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f4c06eef-e998-4d1b-fbb6-76b376f98181"
      },
      "source": [
        "%cd test_data.SEN3"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/test_data/test_data.SEN3\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RELkeVk5DeO8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a9e37880-b00b-4043-cd1c-482e12fd1790"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "enhanced_measurement.nc  standard_measurement.nc\n",
            "reduced_measurement.nc\t xfdumanifest.xml\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SAgdAFgoDfl_"
      },
      "source": [
        "import netCDF4 as nc\n",
        "std_ds = nc.Dataset('standard_measurement.nc')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O3ZEWMJmGiKi"
      },
      "source": [
        "for i in std_ds.variables.values():\n",
        "  print(i)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GquahgiLHYed"
      },
      "source": [
        "time_01 = std_ds['time_01']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "l_BGptlwJNoy"
      },
      "source": [
        "print(time_01[:].shape)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LEKcnMRe6n1O",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 326
        },
        "outputId": "f45ce93d-0de9-4189-ff12-b4a7f9ff94a3"
      },
      "source": [
        "!pip install rasterio"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting rasterio\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/02/7e/eed7dfd109fc89ed3cf8b5ed3f26f841b03b92f6ca1c31c4745f938a081b/rasterio-1.1.5-cp36-cp36m-manylinux1_x86_64.whl (18.2MB)\n",
            "\u001b[K     |████████████████████████████████| 18.2MB 1.2MB/s \n",
            "\u001b[?25hCollecting click-plugins\n",
            "  Downloading https://files.pythonhosted.org/packages/e9/da/824b92d9942f4e472702488857914bdd50f73021efea15b4cad9aca8ecef/click_plugins-1.1.1-py2.py3-none-any.whl\n",
            "Requirement already satisfied: click<8,>=4.0 in /usr/local/lib/python3.6/dist-packages (from rasterio) (7.1.2)\n",
            "Collecting cligj>=0.5\n",
            "  Downloading https://files.pythonhosted.org/packages/e4/be/30a58b4b0733850280d01f8bd132591b4668ed5c7046761098d665ac2174/cligj-0.5.0-py3-none-any.whl\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from rasterio) (1.18.5)\n",
            "Requirement already satisfied: attrs in /usr/local/lib/python3.6/dist-packages (from rasterio) (20.1.0)\n",
            "Collecting affine\n",
            "  Downloading https://files.pythonhosted.org/packages/ac/a6/1a39a1ede71210e3ddaf623982b06ecfc5c5c03741ae659073159184cd3e/affine-2.3.0-py2.py3-none-any.whl\n",
            "Collecting snuggs>=1.4.1\n",
            "  Downloading https://files.pythonhosted.org/packages/cc/0e/d27d6e806d6c0d1a2cfdc5d1f088e42339a0a54a09c3343f7f81ec8947ea/snuggs-1.4.7-py3-none-any.whl\n",
            "Requirement already satisfied: pyparsing>=2.1.6 in /usr/local/lib/python3.6/dist-packages (from snuggs>=1.4.1->rasterio) (2.4.7)\n",
            "Installing collected packages: click-plugins, cligj, affine, snuggs, rasterio\n",
            "Successfully installed affine-2.3.0 click-plugins-1.1.1 cligj-0.5.0 rasterio-1.1.5 snuggs-1.4.7\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uL6jiMBC8QLc"
      },
      "source": [
        "import rasterio\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ROeYa1ji8ccc"
      },
      "source": [
        "rasterfile = \"AIRS.2020.03.15.001.L2.CC_IR.v7.0.1.0.G20075203230.hdf\"\n",
        "raster = rasterio.open(rasterfile)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EigCdItr9VYN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "d6056317-c763-4665-d851-ad1b66aa00d1"
      },
      "source": [
        "!pip install gdal"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: gdal in /usr/lib/python3/dist-packages (2.2.2)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N15ChRE2EWAm"
      },
      "source": [
        "import gdal\n",
        "from gdalconst import *"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T7N7fRYtEcEa"
      },
      "source": [
        "dataset = gdal.Open(rasterfile,GA_ReadOnly)\n",
        "subdataset = dataset.GetSubDatasets()[1]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_DiSFf8xEhnd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "7cf2f228-2186-402b-90ac-ae57717d0108"
      },
      "source": [
        "print(type(dataset))\n",
        "print(type(subdataset))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'osgeo.gdal.Dataset'>\n",
            "<class 'tuple'>\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zWhbcU9yEmbK"
      },
      "source": [
        "dataset.GetSubDatasets()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kMw0rdeuEziY"
      },
      "source": [
        "subdatasets = dataset.GetSubDatasets()\n",
        "mysubdataset_name = subdatasets[1][0]\n",
        "mysubdataset_name\n",
        "mydata = gdal.Open(mysubdataset_name, gdal.GA_ReadOnly).ReadAsArray()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nSsDhNbNE8mX",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "6a3b68a9-2384-4b2f-e04b-97238bdcf46b"
      },
      "source": [
        "mydata.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(45, 30, 2378)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 120
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4siXNe65JV8Y"
      },
      "source": [
        "import cv2"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mC681KVtJamC"
      },
      "source": [
        "from google.colab.patches import cv2_imshow"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oCeUgoekPYaw"
      },
      "source": [
        "from PIL import Image\n",
        "import numpy as np\n",
        "img = Image.fromarray(mydata)\n",
        "img.save('myimg.jpeg')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YbXx4zHlPbe6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "279cf960-e40a-4de5-defb-064b776c21ee"
      },
      "source": [
        "mydata.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(45, 30, 2378)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 121
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vTcChShgc6Ji"
      },
      "source": [
        "from PIL import Image\n",
        "newsize = (128,128)\n",
        "im1 = mydata.resize(newsize)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZCuR_cvudTD7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 145
        },
        "outputId": "e4c15d44-675d-400c-d4e5-5489ca92d553"
      },
      "source": [
        "cv2_imshow(mydata)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=L size=128x128 at 0x7F971C01A9B0>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W29K5ecX28Ef"
      },
      "source": [
        "#Installing basemap and pyhdf, \n",
        "####Need to restart runtime when prompted. Really a long process."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2H7S2DTxdllN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 510
        },
        "outputId": "2962c4d2-9c75-4b94-9388-35d93181f1cd"
      },
      "source": [
        "!apt-get install -q libgeos-3.5.0\n",
        "!apt-get install -q libgeos-dev\n",
        "!pip install -q https://github.com/matplotlib/basemap/archive/master.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Reading package lists...\n",
            "Building dependency tree...\n",
            "Reading state information...\n",
            "E: Unable to locate package libgeos-3.5.0\n",
            "E: Couldn't find any package by glob 'libgeos-3.5.0'\n",
            "E: Couldn't find any package by regex 'libgeos-3.5.0'\n",
            "Reading package lists...\n",
            "Building dependency tree...\n",
            "Reading state information...\n",
            "Suggested packages:\n",
            "  libgdal-doc\n",
            "The following NEW packages will be installed:\n",
            "  libgeos-dev\n",
            "0 upgraded, 1 newly installed, 0 to remove and 11 not upgraded.\n",
            "Need to get 73.1 kB of archives.\n",
            "After this operation, 486 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libgeos-dev amd64 3.6.2-1build2 [73.1 kB]\n",
            "Fetched 73.1 kB in 0s (156 kB/s)\n",
            "Selecting previously unselected package libgeos-dev.\n",
            "(Reading database ... 144676 files and directories currently installed.)\n",
            "Preparing to unpack .../libgeos-dev_3.6.2-1build2_amd64.deb ...\n",
            "Unpacking libgeos-dev (3.6.2-1build2) ...\n",
            "Setting up libgeos-dev (3.6.2-1build2) ...\n",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
            "\u001b[K     |████████████████████████████████| 133.1MB 86kB/s \n",
            "\u001b[K     |████████████████████████████████| 10.9MB 2.7MB/s \n",
            "\u001b[K     |████████████████████████████████| 225kB 40.2MB/s \n",
            "\u001b[?25h  Building wheel for basemap (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for pyshp (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cy38WoZ2wigh",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "a37610b3-619e-4cac-c09a-049891de2786"
      },
      "source": [
        "!pip install -q pyproj==1.9.6"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[K     |████████████████████████████████| 2.8MB 2.9MB/s \n",
            "\u001b[?25h  Building wheel for pyproj (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LJyg75nmy_qj"
      },
      "source": [
        "from mpl_toolkits.basemap import Basemap\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4YLeEMGr070B",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 853
        },
        "outputId": "585456ea-88f3-496f-89fa-d672218adc32"
      },
      "source": [
        "!apt-get install build-essential python3-dev python3-numpy libhdf4-dev -y \n",
        "!pip install pyhdf"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "build-essential is already the newest version (12.4ubuntu1).\n",
            "python3-numpy is already the newest version (1:1.13.3-2ubuntu1).\n",
            "python3-numpy set to manually installed.\n",
            "python3-dev is already the newest version (3.6.7-1~18.04).\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-440\n",
            "Use 'apt autoremove' to remove it.\n",
            "The following additional packages will be installed:\n",
            "  libhdf4-0\n",
            "Suggested packages:\n",
            "  libhdf4-doc hdf4-tools\n",
            "The following NEW packages will be installed:\n",
            "  libhdf4-0 libhdf4-dev\n",
            "0 upgraded, 2 newly installed, 0 to remove and 39 not upgraded.\n",
            "Need to get 716 kB of archives.\n",
            "After this operation, 3,154 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libhdf4-0 amd64 4.2.13-2 [301 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libhdf4-dev amd64 4.2.13-2 [415 kB]\n",
            "Fetched 716 kB in 1s (797 kB/s)\n",
            "Selecting previously unselected package libhdf4-0.\n",
            "(Reading database ... 144595 files and directories currently installed.)\n",
            "Preparing to unpack .../libhdf4-0_4.2.13-2_amd64.deb ...\n",
            "Unpacking libhdf4-0 (4.2.13-2) ...\n",
            "Selecting previously unselected package libhdf4-dev.\n",
            "Preparing to unpack .../libhdf4-dev_4.2.13-2_amd64.deb ...\n",
            "Unpacking libhdf4-dev (4.2.13-2) ...\n",
            "Setting up libhdf4-0 (4.2.13-2) ...\n",
            "Setting up libhdf4-dev (4.2.13-2) ...\n",
            "Processing triggers for libc-bin (2.27-3ubuntu1) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/python3.6/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n",
            "\n",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
            "Collecting pyhdf\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/38/58/c0a756c2444c14fad7af6ef45f3d273b4320fefdb530de65d6373e204f93/pyhdf-0.10.2.tar.gz (149kB)\n",
            "\u001b[K     |████████████████████████████████| 153kB 3.3MB/s \n",
            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "    Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n",
            "Building wheels for collected packages: pyhdf\n",
            "  Building wheel for pyhdf (PEP 517) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pyhdf: filename=pyhdf-0.10.2-cp36-cp36m-linux_x86_64.whl size=255836 sha256=4312732e5d2f73980610f1afb17019955e1910ec1ba9d99aaf744a43aced37e6\n",
            "  Stored in directory: /root/.cache/pip/wheels/6c/34/4c/25b83941b312940026288083fbcfba3679d21d0617e83846b5\n",
            "Successfully built pyhdf\n",
            "Installing collected packages: pyhdf\n",
            "Successfully installed pyhdf-0.10.2\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ipY7sKfQ03BD"
      },
      "source": [
        "from pyhdf.SD import SD, SDC"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Hp0aCNGR3LKs"
      },
      "source": [
        "#The main code for reading the .hdf file"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6Lyo3S2i3N0Z"
      },
      "source": [
        "import os\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.basemap import Basemap\n",
        "import numpy as np\n",
        "from pyhdf.SD import SD, SDC"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8ugu7dLT36jT"
      },
      "source": [
        "FILE_NAME = '/content/AIRS.2020.03.15.076.L2.RetStd_IR.v7.0.1.0.G20075181120.hdf'\n",
        "hdf = SD(FILE_NAME, SDC.READ)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FKSEnMfV4zUp",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        },
        "outputId": "c273403a-f696-477e-e669-445fabd832ea"
      },
      "source": [
        "print(hdf.datasets().keys())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "dict_keys(['Latitude', 'GeoTrack:L2_Standard_atmospheric&surface_product', 'GeoXTrack:L2_Standard_atmospheric&surface_product', 'Longitude', 'Time', 'satzen', 'satazi', 'solzen', 'solazi', 'sun_glint_distance', 'topog', 'topog_err', 'landFrac', 'landFrac_err', 'latAIRS', 'AIRSTrack:L2_Standard_atmospheric&surface_product', 'AIRSXTrack:L2_Standard_atmospheric&surface_product', 'lonAIRS', 'PSurfStd', 'PSurfStd_QC', 'nSurfStd', 'PBest', 'PGood', 'nBestStd', 'nGoodStd', 'TSurfStd', 'TSurfStd_QC', 'TSurfStdErr', 'numHingeSurf', 'freqEmis', 'HingeSurf:L2_Standard_atmospheric&surface_product', 'emisIRStd', 'emisIRStd_QC', 'emisIRStdErr', 'TAirStd', 'StdPressureLev:L2_Standard_atmospheric&surface_product', 'TAirStd_QC', 'TAirStdErr', 'TSurfAir', 'TSurfAir_QC', 'TSurfAirErr', 'Temp_dof', 'H2OMMRSat', 'H2OPressureLay:L2_Standard_atmospheric&surface_product', 'H2OMMRSat_QC', 'H2OMMRSatLevStd', 'H2OPressureLev:L2_Standard_atmospheric&surface_product', 'H2OMMRSatLevStd_QC', 'H2OMMRSatSurf', 'H2OMMRSatSurf_QC', 'H2OMMRSat_liquid', 'H2OMMRSat_liquid_QC', 'H2OMMRSatLevStd_liquid', 'H2OMMRSatLevStd_liquid_QC', 'H2OMMRSatSurf_liquid', 'H2OMMRSatSurf_liquid_QC', 'PTropopause', 'PTropopause_QC', 'T_Tropopause', 'T_Tropopause_QC', 'totH2OStd', 'totH2OStd_QC', 'totH2OStdErr', 'H2OMMRStd', 'H2OMMRStd_QC', 'H2OMMRStdErr', 'H2OMMRLevStd', 'H2OMMRLevStd_QC', 'H2OMMRLevStdErr', 'H2OMMRSurf', 'H2OMMRSurf_QC', 'H2OMMRSurfErr', 'num_H2O_Func', 'H2O_verticality_21func', 'H2O_dof', 'RelHum', 'RelHum_QC', 'RelHumSurf', 'RelHumSurf_QC', 'RelHum_liquid', 'RelHum_liquid_QC', 'RelHumSurf_liquid', 'RelHumSurf_liquid_QC', 'GP_Tropopause', 'GP_Tropopause_QC', 'GP_Height', 'GP_Height_QC', 'GP_Surface', 'GP_Surface_QC', 'CldFrcTot', 'CldFrcTot_QC', 'CldFrcStd', 'Cloud:L2_Standard_atmospheric&surface_product', 'CldFrcStd_QC', 'CldFrcStdErr', 'PCldTop', 'PCldTop_QC', 'PCldTopErr', 'TCldTop', 'TCldTop_QC', 'TCldTopErr', 'nCld', 'totO3Std', 'totO3Std_QC', 'totO3StdErr', 'O3VMRStd', 'StdPressureLay:L2_Standard_atmospheric&surface_product', 'O3VMRStd_QC', 'O3VMRStdErr', 'O3VMRLevStd', 'O3VMRLevStd_QC', 'O3VMRLevStdErr', 'num_O3_Func', 'O3_verticality_20func', 'O3_dof', 'CO_total_column', 'CO_total_column_QC', 'COVMRLevStd', 'COVMRLevStd_QC', 'COVMRLevStdErr', 'num_CO_Func', 'CO_verticality', 'CO_dof', 'CH4_total_column', 'CH4_total_column_QC', 'CH4VMRLevStd', 'CH4VMRLevStd_QC', 'CH4VMRLevStdErr', 'num_CH4_Func', 'CH4_verticality_10func', 'CH4_dof', 'olr', 'olr_QC', 'olr3x3', 'olr3x3_QC', 'olr_err', 'clrolr', 'clrolr_QC', 'clrolr_err', 'ftptgeoqa', 'zengeoqa', 'demgeoqa', 'dust_flag', 'all_spots_avg', 'retrieval_type', 'SurfClass', 'TAirMWOnlyStd', 'TAirMWOnlyStd_QC', 'MWSurfClass', 'sfcTbMWStd', 'MWHingeSurf:L2_Standard_atmospheric&surface_product', 'sfcTbMWStd_QC', 'EmisMWStd', 'EmisMWStd_QC', 'EmisMWStdErr', 'totH2OMWOnlyStd', 'totH2OMWOnlyStd_QC', 'GP_Height_MWOnly', 'GP_Height_MWOnly_QC', 'MW_ret_used', 'totCldH2OStd', 'totCldH2OStd_QC', 'totCldH2OStdErr'])\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ARHasNhSFJ1J",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "25fcf76e-9f29-4b61-efb7-25be57fc92c7"
      },
      "source": [
        "keys = hdf.datasets().keys()\n",
        "for i in keys:\n",
        "  DATAFIELD_NAME = i\n",
        "  try:\n",
        "    data3D = hdf.select(DATAFIELD_NAME)\n",
        "    data = data3D[:,:]\n",
        "    print(i, data.shape)\n",
        "  except:\n",
        "    continue"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Latitude (45, 30)\n",
            "Longitude (45, 30)\n",
            "Time (45, 30)\n",
            "satzen (45, 30)\n",
            "satazi (45, 30)\n",
            "solzen (45, 30)\n",
            "solazi (45, 30)\n",
            "sun_glint_distance (45, 30)\n",
            "topog (45, 30)\n",
            "topog_err (45, 30)\n",
            "landFrac (45, 30)\n",
            "landFrac_err (45, 30)\n",
            "latAIRS (45, 30, 3, 3)\n",
            "lonAIRS (45, 30, 3, 3)\n",
            "PSurfStd (45, 30)\n",
            "PSurfStd_QC (45, 30)\n",
            "nSurfStd (45, 30)\n",
            "PBest (45, 30)\n",
            "PGood (45, 30)\n",
            "nBestStd (45, 30)\n",
            "nGoodStd (45, 30)\n",
            "TSurfStd (45, 30)\n",
            "TSurfStd_QC (45, 30)\n",
            "TSurfStdErr (45, 30)\n",
            "numHingeSurf (45, 30)\n",
            "freqEmis (45, 30, 100)\n",
            "emisIRStd (45, 30, 100)\n",
            "emisIRStd_QC (45, 30, 100)\n",
            "emisIRStdErr (45, 30, 100)\n",
            "TAirStd (45, 30, 28)\n",
            "TAirStd_QC (45, 30, 28)\n",
            "TAirStdErr (45, 30, 28)\n",
            "TSurfAir (45, 30)\n",
            "TSurfAir_QC (45, 30)\n",
            "TSurfAirErr (45, 30)\n",
            "Temp_dof (45, 30)\n",
            "H2OMMRSat (45, 30, 14)\n",
            "H2OMMRSat_QC (45, 30, 14)\n",
            "H2OMMRSatLevStd (45, 30, 15)\n",
            "H2OMMRSatLevStd_QC (45, 30, 15)\n",
            "H2OMMRSatSurf (45, 30)\n",
            "H2OMMRSatSurf_QC (45, 30)\n",
            "H2OMMRSat_liquid (45, 30, 14)\n",
            "H2OMMRSat_liquid_QC (45, 30, 14)\n",
            "H2OMMRSatLevStd_liquid (45, 30, 15)\n",
            "H2OMMRSatLevStd_liquid_QC (45, 30, 15)\n",
            "H2OMMRSatSurf_liquid (45, 30)\n",
            "H2OMMRSatSurf_liquid_QC (45, 30)\n",
            "PTropopause (45, 30)\n",
            "PTropopause_QC (45, 30)\n",
            "T_Tropopause (45, 30)\n",
            "T_Tropopause_QC (45, 30)\n",
            "totH2OStd (45, 30)\n",
            "totH2OStd_QC (45, 30)\n",
            "totH2OStdErr (45, 30)\n",
            "H2OMMRStd (45, 30, 14)\n",
            "H2OMMRStd_QC (45, 30, 14)\n",
            "H2OMMRStdErr (45, 30, 14)\n",
            "H2OMMRLevStd (45, 30, 15)\n",
            "H2OMMRLevStd_QC (45, 30, 15)\n",
            "H2OMMRLevStdErr (45, 30, 15)\n",
            "H2OMMRSurf (45, 30)\n",
            "H2OMMRSurf_QC (45, 30)\n",
            "H2OMMRSurfErr (45, 30)\n",
            "num_H2O_Func (45, 30)\n",
            "H2O_verticality_21func (45, 30, 21)\n",
            "H2O_dof (45, 30)\n",
            "RelHum (45, 30, 15)\n",
            "RelHum_QC (45, 30, 15)\n",
            "RelHumSurf (45, 30)\n",
            "RelHumSurf_QC (45, 30)\n",
            "RelHum_liquid (45, 30, 15)\n",
            "RelHum_liquid_QC (45, 30, 15)\n",
            "RelHumSurf_liquid (45, 30)\n",
            "RelHumSurf_liquid_QC (45, 30)\n",
            "GP_Tropopause (45, 30)\n",
            "GP_Tropopause_QC (45, 30)\n",
            "GP_Height (45, 30, 28)\n",
            "GP_Height_QC (45, 30, 28)\n",
            "GP_Surface (45, 30)\n",
            "GP_Surface_QC (45, 30)\n",
            "CldFrcTot (45, 30)\n",
            "CldFrcTot_QC (45, 30)\n",
            "CldFrcStd (45, 30, 3, 3, 2)\n",
            "CldFrcStd_QC (45, 30, 3, 3, 2)\n",
            "CldFrcStdErr (45, 30, 3, 3, 2)\n",
            "PCldTop (45, 30, 3, 3, 2)\n",
            "PCldTop_QC (45, 30, 3, 3, 2)\n",
            "PCldTopErr (45, 30, 3, 3, 2)\n",
            "TCldTop (45, 30, 3, 3, 2)\n",
            "TCldTop_QC (45, 30, 3, 3, 2)\n",
            "TCldTopErr (45, 30, 3, 3, 2)\n",
            "nCld (45, 30, 3, 3)\n",
            "totO3Std (45, 30)\n",
            "totO3Std_QC (45, 30)\n",
            "totO3StdErr (45, 30)\n",
            "O3VMRStd (45, 30, 28)\n",
            "O3VMRStd_QC (45, 30, 28)\n",
            "O3VMRStdErr (45, 30, 28)\n",
            "O3VMRLevStd (45, 30, 28)\n",
            "O3VMRLevStd_QC (45, 30, 28)\n",
            "O3VMRLevStdErr (45, 30, 28)\n",
            "num_O3_Func (45, 30)\n",
            "O3_verticality_20func (45, 30, 20)\n",
            "O3_dof (45, 30)\n",
            "CO_total_column (45, 30)\n",
            "CO_total_column_QC (45, 30)\n",
            "COVMRLevStd (45, 30, 28)\n",
            "COVMRLevStd_QC (45, 30, 28)\n",
            "COVMRLevStdErr (45, 30, 28)\n",
            "num_CO_Func (45, 30)\n",
            "CO_verticality (45, 30, 9)\n",
            "CO_dof (45, 30)\n",
            "CH4_total_column (45, 30)\n",
            "CH4_total_column_QC (45, 30)\n",
            "CH4VMRLevStd (45, 30, 28)\n",
            "CH4VMRLevStd_QC (45, 30, 28)\n",
            "CH4VMRLevStdErr (45, 30, 28)\n",
            "num_CH4_Func (45, 30)\n",
            "CH4_verticality_10func (45, 30, 10)\n",
            "CH4_dof (45, 30)\n",
            "olr (45, 30)\n",
            "olr_QC (45, 30)\n",
            "olr3x3 (45, 30, 3, 3)\n",
            "olr3x3_QC (45, 30, 3, 3)\n",
            "olr_err (45, 30)\n",
            "clrolr (45, 30)\n",
            "clrolr_QC (45, 30)\n",
            "clrolr_err (45, 30)\n",
            "ftptgeoqa (45, 30)\n",
            "zengeoqa (45, 30)\n",
            "demgeoqa (45, 30)\n",
            "dust_flag (45, 30, 3, 3)\n",
            "all_spots_avg (45, 30)\n",
            "retrieval_type (45, 30)\n",
            "SurfClass (45, 30)\n",
            "TAirMWOnlyStd (45, 30, 28)\n",
            "TAirMWOnlyStd_QC (45, 30, 28)\n",
            "MWSurfClass (45, 30)\n",
            "sfcTbMWStd (45, 30, 7)\n",
            "sfcTbMWStd_QC (45, 30, 7)\n",
            "EmisMWStd (45, 30, 7)\n",
            "EmisMWStd_QC (45, 30, 7)\n",
            "EmisMWStdErr (45, 30, 7)\n",
            "totH2OMWOnlyStd (45, 30)\n",
            "totH2OMWOnlyStd_QC (45, 30)\n",
            "GP_Height_MWOnly (45, 30, 28)\n",
            "GP_Height_MWOnly_QC (45, 30, 28)\n",
            "MW_ret_used (45, 30)\n",
            "totCldH2OStd (45, 30)\n",
            "totCldH2OStd_QC (45, 30)\n",
            "totCldH2OStdErr (45, 30)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U8K59yvu7x-O",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "edae7440-4eef-4108-a7b4-f908741b74bf"
      },
      "source": [
        "DATAFIELD_NAME = 'satzen'\n",
        "data3D = hdf.select(DATAFIELD_NAME)\n",
        "data = data3D[:,:]\n",
        "data.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(45, 30)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xlR7_OXZ45uT"
      },
      "source": [
        "lat = hdf.select('Latitude')\n",
        "latitude = lat[:,:]\n",
        "lon = hdf.select('Longitude')\n",
        "longitude = lon[:,:]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OLY-Gi1a_zvu",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "fbdd75d3-0cf1-4464-d2a7-0ac7f452b4e2"
      },
      "source": [
        "longitude.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(45, 30)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "asH77n0r4-xi",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 233
        },
        "outputId": "4b8d1b47-103e-42bc-e557-b999aae7dc6c"
      },
      "source": [
        "m = Basemap(projection='cyl', resolution='l', llcrnrlat=-90, urcrnrlat = 90, llcrnrlon=-180, urcrnrlon = 180)\n",
        "m.drawcoastlines(linewidth=0.5)\n",
        "m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0])\n",
        "m.drawmeridians(np.arange(-180., 181., 45.), labels=[0, 0, 0, 1])\n",
        "x, y = m(longitude, latitude)\n",
        "m.pcolormesh(x, y, data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.QuadMesh at 0x7f9f1952bcf8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "av7CD6hJ7AGZ"
      },
      "source": [
        "FILE_NAME1 = '/content/AIRS.2002.08.01.L3.RetStd_H031.v4.0.21.0.G06104133732 (1).hdf'\n",
        "hdf1 = SD(FILE_NAME1, SDC.READ)\n",
        "\n",
        "# List available SDS datasets.\n",
        "print(hdf1.datasets().keys())\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jHek52qxDsCA"
      },
      "source": [
        "# Read dataset.\n",
        "DATAFIELD_NAME = 'RelHumid_A'\n",
        "data3D = hdf1.select(DATAFIELD_NAME)\n",
        "data = data3D[11,:,:]\n",
        "print(data3D, data.shape)\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "axlph1cLEhf_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "98b82aa8-e3e9-4a2c-a9fb-9d1ca0f6fb91"
      },
      "source": [
        "data1 = data3D[11,:, :]\n",
        "data1.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(180, 360)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ep8Z4Hn4DzlK",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "d68c4365-870f-4b18-8606-3753029974e5"
      },
      "source": [
        "# Read geolocation dataset.\n",
        "lat1 = hdf1.select('Latitude')\n",
        "latitude1 = lat1[:,:]\n",
        "print(latitude1.shape)\n",
        "lon1 = hdf1.select('Longitude')\n",
        "longitude1 = lon1[:,:]\n",
        "print(longitude1.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(180, 360)\n",
            "(180, 360)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tQVeeABHEB8O",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 233
        },
        "outputId": "e6ae722c-e822-4a86-aa38-f5490b67ef7d"
      },
      "source": [
        "m = Basemap(projection='cyl', resolution='l', llcrnrlat=-90, urcrnrlat = 90, llcrnrlon=-180, urcrnrlon = 180)\n",
        "m.drawcoastlines(linewidth=0.5)\n",
        "m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0])\n",
        "m.drawmeridians(np.arange(-180., 181., 45.), labels=[0, 0, 0, 1])\n",
        "x, y = m(longitude1, latitude1)\n",
        "m.pcolormesh(x, y, data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.QuadMesh at 0x7f8b16bd74e0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WrHjUjQuE1OZ"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "93Y8n8KKhmnN"
      },
      "source": [
        "#Ozone mapping"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ph7ER7l1bAev",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 325
        },
        "outputId": "fb9bbafd-1fe0-490f-a610-0efe980d81ea"
      },
      "source": [
        "import os\n",
        "import h5py\n",
        "import datetime\n",
        "\n",
        "import numpy as np\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "from matplotlib.ticker import FormatStrFormatter\n",
        "\n",
        "\n",
        "FILE_NAME = \"/content/MLS-Aura_L2GP-O3_v04-23-NRT-13-c01_2020d251t1925.he5\"\n",
        "with h5py.File(FILE_NAME, mode='r') as f:\n",
        "    dset_var = f['HDFEOS/SWATHS/O3/Data Fields/L2gpValue']\n",
        "    dset_lat = f['HDFEOS/SWATHS/O3/Geolocation Fields/Latitude']\n",
        "    dset_lev = f['HDFEOS/SWATHS/O3/Geolocation Fields/Pressure']\n",
        "    dset_date = f['HDFEOS/SWATHS/O3/Geolocation Fields/Time']\n",
        "    dset_nco = f['HDFEOS/SWATHS/O3/nLevels']\n",
        "   \n",
        "    # Read the data.\n",
        "    data = dset_var[:,:,]\n",
        "\n",
        "    lat = dset_lat[:]\n",
        "    lev = dset_lev[:]\n",
        "    time = dset_date[0]\n",
        "    nco = dset_nco[0]\n",
        "\n",
        "    # Read the needed attributes.\n",
        "    # String attributes actually come in as the bytes type and should\n",
        "    # be decoded to UTF-8 (python3).\n",
        "    data_units = dset_var.attrs['Units'].decode()\n",
        "    lat_units = dset_lat.attrs['Units'].decode()\n",
        "    lev_units = dset_lev.attrs['Units'].decode()\n",
        "\n",
        "    data_title = dset_var.attrs['Title'].decode()\n",
        "    lat_title = dset_lat.attrs['Title'].decode()\n",
        "    lev_title = dset_lev.attrs['Title'].decode()\n",
        "\n",
        "    # Handle fill value.\n",
        "    fillvalue = dset_var.attrs['_FillValue']\n",
        "    data[data == fillvalue] = np.nan\n",
        "    data = np.ma.masked_array(data, np.isnan(data))\n",
        "    \n",
        "    # The date is stored as a six-digit number, YYYYMM.\n",
        "    # Convert it into a string.\n",
        "    datestr = datetime.datetime(1993,1,1) + datetime.timedelta(seconds=time)\n",
        "\n",
        "    # Apply log scale along the y-axis to get a better image.\n",
        "    x, y = np.meshgrid(lat, lev)\n",
        "\n",
        "    # contourf() will not work well for this dataset.\n",
        "    # plt.contourf(lat, lev, data.T)\n",
        "    plt.pcolormesh(lat, lev, data.T)\n",
        "    cb = plt.colorbar()\n",
        "    cb.set_label(data_units)\n",
        "   \n",
        "    plt.xlabel('{0} ({1})'.format(lat_title, lat_units))\n",
        "    plt.ylabel('{0} ({1})'.format(lev_title, lev_units))\n",
        "\n",
        "    basename = os.path.basename(FILE_NAME)\n",
        "    dstr = datestr.strftime('%Y-%m-%d %H:%M:%S')\n",
        "    plt.title('{0}\\n{1}\\n at {2} and nCoeffs={3}'.format(basename, data_title,\n",
        "                                                         dstr, nco))\n",
        "    # This is useful for putting high pressure at the bottom.\n",
        "    plt.gca().invert_yaxis()\n",
        "    plt.gca().set_yscale('log')\n",
        "    plt.gca().yaxis.set_major_formatter(FormatStrFormatter('%.1f'))\n",
        "\n",
        "    fig = plt.gcf()\n",
        "    pngfile = \"{0}.py.png\".format(basename)    \n",
        "    fig.savefig(pngfile)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6S9DpPm4J_v3"
      },
      "source": [
        "\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.basemap import Basemap\n",
        "import numpy as np\n",
        "import h5py\n",
        "\n",
        "FILE_NAME = '/content/OMI-Aura_L2-OMSO2_2020m0913t2112-o85986_v003-2020m0914t114301.he5'\n",
        "path = '/HDFEOS/SWATHS/ColumnAmountNO2/Data Fields/'\n",
        "f = h5py.File(FILE_NAME, mode='r')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GLXV6I6KGRNu",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 139
        },
        "outputId": "aeb542eb-b1dd-4ad3-c1de-2092763e15bb"
      },
      "source": [
        "print(f['HDFEOS/SWATHS/OMI Total Column Amount SO2/Data Fields/'].keys())\n",
        "for i in f['HDFEOS/SWATHS/OMI Total Column Amount SO2/Data Fields/ColumnAmountO3'].attrs:\n",
        "  print(i)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<KeysViewHDF5 ['AlgorithmFlag_SnowIce', 'CloudFraction', 'CloudPressure', 'CloudRadianceFraction', 'ColumnAmountO3', 'ColumnAmountSO2', 'ColumnAmountSO2_PBL', 'ColumnAmountSO2_STL', 'ColumnAmountSO2_TRL', 'ColumnAmountSO2_TRM', 'ColumnAmountSO2_TRU', 'Flag_RowAnomaly', 'Flag_SAA', 'GEOS5LayerWeight', 'LayerBottomPressure', 'PBLLayerWeight', 'RadiativeCloudFraction', 'Reflectivity342', 'ScatteringWeight', 'SceneReflectivity354', 'SlantColumnAmountSO2', 'SurfaceReflectivity', 'TerrainPressure', 'UVAerosolIndex']>\n",
            "MissingValue\n",
            "Title\n",
            "Units\n",
            "ValidRange\n",
            "_FillValue\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rDhFoUuVHj29",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        },
        "outputId": "e45e3f60-30e0-4820-9f60-dc7e78a22d99"
      },
      "source": [
        "FILE_NAME = '/content/OMI-Aura_L2-OMSO2_2020m0913t2112-o85986_v003-2020m0914t114301.he5'\n",
        "path = '/HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields'\n",
        "f = h5py.File(FILE_NAME, mode = 'r')\n",
        "print(f[path].keys())\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<KeysViewHDF5 ['GroundPixelArea', 'GroundPixelQualityFlags', 'Latitude', 'Longitude', 'RelativeAzimuthAngle', 'SecondsInDay', 'SolarAzimuthAngle', 'SolarZenithAngle', 'SpacecraftAltitude', 'SpacecraftLatitude', 'SpacecraftLongitude', 'TerrainHeight', 'TiledCornerLatitude', 'TiledCornerLongitude', 'Time', 'ViewingAzimuthAngle', 'ViewingZenithAngle']>\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Bv7TY7kqGVPh",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        },
        "outputId": "66d20cda-03b4-4637-8564-9230d62115c9"
      },
      "source": [
        "import os\n",
        "\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.basemap import Basemap\n",
        "import numpy as np\n",
        "import h5py\n",
        "\n",
        "FILE_NAME = '/content/OMI-Aura_L2-OMSO2_2020m0913t2112-o85986_v003-2020m0914t114301.he5'\n",
        "path = '/HDFEOS/SWATHS/OMI Total Column Amount SO2/Data Fields/'\n",
        "DATAFIELD_NAME = path + 'CloudFraction'\n",
        "with h5py.File(FILE_NAME, mode='r') as f:\n",
        "    dset = f[DATAFIELD_NAME]\n",
        "    data =dset[:].astype(np.float64)\n",
        "\n",
        "    # Retrieve any attributes that may be needed later.\n",
        "    # String attributes actually come in as the bytes type and should\n",
        "    # be decoded to UTF-8 (python3).\n",
        "    #scale = f[DATAFIELD_NAME].attrs['ScaleFactor']\n",
        "    #offset = f[DATAFIELD_NAME].attrs['Offset']\n",
        "    missing_value = f[DATAFIELD_NAME].attrs['MissingValue']\n",
        "    fill_value = f[DATAFIELD_NAME].attrs['_FillValue']\n",
        "    title = f[DATAFIELD_NAME].attrs['Title'].decode()\n",
        "    units = f[DATAFIELD_NAME].attrs['Units'].decode()\n",
        "\n",
        "    # Retrieve the geolocation data.\n",
        "    path = '/HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/'\n",
        "    latitude = f[path + 'Latitude'][:]\n",
        "    longitude = f[path + 'Longitude'][:]\n",
        "\n",
        "    data[data == missing_value] = np.nan\n",
        "    data[data == fill_value] = np.nan\n",
        "    #data = scale * (data - offset)\n",
        "    datam = np.ma.masked_where(np.isnan(data), data)\n",
        "\n",
        "    # Draw an equidistant cylindrical projection using the low resolution\n",
        "    # coastline database.\n",
        "    m = Basemap(projection='cyl', resolution='l',\n",
        "                llcrnrlat=-90, urcrnrlat = 90,\n",
        "                llcrnrlon=-180, urcrnrlon = 180)\n",
        "    m.drawcoastlines(linewidth=0.5)\n",
        "    m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0])\n",
        "    m.drawmeridians(np.arange(-180, 180., 45.), labels=[0, 0, 0, 1])\n",
        "    m.scatter(longitude, latitude, c=datam, s=1, cmap=plt.cm.jet,\n",
        "             edgecolors=None, linewidth=0)    \n",
        "    cb = m.colorbar()\n",
        "    cb.set_label(units)\n",
        "\n",
        "\n",
        "    basename = os.path.basename(FILE_NAME)\n",
        "    plt.title('{0}\\n{1}'.format(basename, title), fontsize=8)\n",
        "    fig = plt.gcf()\n",
        "    pngfile = \"{0}.py.png\".format(basename)\n",
        "    fig.savefig(pngfile)\n",
        "    #https://disc.gsfc.nasa.gov/datasets/ML2O3_NRT_004/summary"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lyZE4KjIQGuW"
      },
      "source": [
        "#Indian subcontinent SO2 cloud fraction visualization\n",
        "\n",
        "######https://search.earthdata.nasa.gov/portal/idn/search/granules?p=C1239966837-GES_DISC&pg[0][gsk]=-start_date&g=G1939794062-GES_DISC&q=OMSO2_003&m=0.8856599999999872!0.5359449999999981!0!1!0!0%2C2&ac=true&tl=1584333213!4!!\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CCG34uiy4_Fh"
      },
      "source": [
        "##Get the required data from here \n",
        "##### https://earthdata.nasa.gov/earth-observation-data/near-real-time/hazards-and-disasters/air-quality\n",
        "\n",
        "##Example scripts and plots here\n",
        "##### https://hdfeos.org/zoo/index_openGESDISC_Examples.php"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-fWtDTS47fGl"
      },
      "source": [
        "![so2.png](data:image/png;base64,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)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CMrgKDEZGwsv"
      },
      "source": [
        "!mkdir india"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xm6D-HohOQnn",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "bc62c594-b6b0-4ab1-f7f9-db8d307cdff3"
      },
      "source": [
        "%cd india"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/india\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_e_wtEZnOSYU",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        },
        "outputId": "9e3c22f7-30c0-49e4-c5a5-6207d8aa1d2b"
      },
      "source": [
        "import os\n",
        "\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.basemap import Basemap\n",
        "import numpy as np\n",
        "import h5py\n",
        "\n",
        "FILE_NAME = 'Indian_sub_NE_OMI-Aura_L2-OMSO2_2020m0913t0622-o85977_v003-2020m0913t204658.he5'\n",
        "path = '/HDFEOS/SWATHS/OMI Total Column Amount SO2/Data Fields/'\n",
        "DATAFIELD_NAME = path + 'CloudFraction'\n",
        "with h5py.File(FILE_NAME, mode='r') as f:\n",
        "    dset = f[DATAFIELD_NAME]\n",
        "    data =dset[:].astype(np.float64)\n",
        "\n",
        "    # Retrieve any attributes that may be needed later.\n",
        "    # String attributes actually come in as the bytes type and should\n",
        "    # be decoded to UTF-8 (python3).\n",
        "    #scale = f[DATAFIELD_NAME].attrs['ScaleFactor']\n",
        "    #offset = f[DATAFIELD_NAME].attrs['Offset']\n",
        "    missing_value = f[DATAFIELD_NAME].attrs['MissingValue']\n",
        "    fill_value = f[DATAFIELD_NAME].attrs['_FillValue']\n",
        "    title = f[DATAFIELD_NAME].attrs['Title'].decode()\n",
        "    units = f[DATAFIELD_NAME].attrs['Units'].decode()\n",
        "\n",
        "    # Retrieve the geolocation data.\n",
        "    path = '/HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/'\n",
        "    latitude = f[path + 'Latitude'][:]\n",
        "    longitude = f[path + 'Longitude'][:]\n",
        "\n",
        "    data[data == missing_value] = np.nan\n",
        "    data[data == fill_value] = np.nan\n",
        "    #data = scale * (data - offset)\n",
        "    datam = np.ma.masked_where(np.isnan(data), data)\n",
        "\n",
        "    # Draw an equidistant cylindrical projection using the low resolution\n",
        "    # coastline database.\n",
        "    m = Basemap(projection='cyl', resolution='l',\n",
        "                llcrnrlat=-90, urcrnrlat = 90,\n",
        "                llcrnrlon=-180, urcrnrlon = 180)\n",
        "    m.drawcoastlines(linewidth=0.5)\n",
        "    m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0])\n",
        "    m.drawmeridians(np.arange(-180, 180., 45.), labels=[0, 0, 0, 1])\n",
        "    m.scatter(longitude, latitude, c=datam, s=1, cmap=plt.cm.jet,\n",
        "             edgecolors=None, linewidth=0)    \n",
        "    cb = m.colorbar()\n",
        "    cb.set_label(units)\n",
        "\n",
        "\n",
        "    basename = os.path.basename(FILE_NAME)\n",
        "    plt.title('{0}\\n{1}'.format(basename, title), fontsize=8)\n",
        "    fig = plt.gcf()\n",
        "    #pngfile = \"{0}.py.png\".format(basename)\n",
        "    #fig.savefig(pngfile)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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p1RK4Ax2xoDva1P6yDcxuOOXW9splQMN68XxQC239CFxSe01o5+KtuPW/VFlWXUidasIYjPaijV2eU0ZYILSrw0Dj+Ga0SfiFPod/ikgv9Mb8eMPqDDR/9UQbSdzulr8X2qjjbgAR2Y72gzlfK1AvvPAKo/9xvA70VEp9ZhzfrnSEggil1M/GLPcDAKVUlFLqF2Om+6oxy3X5g7RWRlw6daYnvk0pdaMx416jlOpTrQ6DgbfF8OcSkQ0iYnej0UDpuHGrlVJPG2lnRN1QSsUpHZHiZyD+XA1X2uN+OvCU8hwNpLmbJvUweoB3+YhFqKpIIteqqlhjrrh2y5RSbyg3D3c3JKLN8U/rf0Pj+EYpNRdoo6pFVlA67uFKpdR3SqlthhazwOj3gGr3GISOCuIyg/43VU7kS6gyI24J7D6f5+AJIpKD9v/pXe2SJwdhH7TlnAvJeHb58MILj/hdDRi8uOwYoZTqZhw/hfZUR0RGK6V6oGfFzysdxuZVEVmrlHpNKdUZ7ZQ7WUQWKKVMIuJUSt1pzL5RSiEipUqpE0qp+uhZdTo65MkTaC9/E9ofZb5bnaI5eySNp4EXRGSlUmq+UurLGvI9CTyGNjPf7uF6hEtwoX2HYoAuIlKklPIXkS+UDqczE+0+8Cpwn4jsMzSVBmgT4uGu9hqYgHY0xWiXK/zTdLT5/0J0xAcXmqB9QeD0/r8byBWR25RbZAWl1HC0SfA36KgGV6OfxVARuU7pcFDXc7qfm281QZKONu8+gjaTLlE6KsleqpwZz/UcasJRg3Yqmr/6oJ3R3Y1SFqNjNz7vlnYI7Rh6RkQHL7zwBK9m9L8F92W6DWfJlwBMMgbvXmhfj6YYYUVEx5+rCdU98Wsb9BahB/noassz1aM1VId7lIFtaP8bT46K8cBW0fHwTotvZsB9mS4JSDK0BvAcDaS2iOw7j/aKaCfZfE6PBFDdw/184Iqw4SmyAmjHUSdaALgiSrhHDnChVJ0eIqp6JI15aH8YdwF2rudQE+q50f5SRDqg/V7co933Qociuuoi6HvhBeAVRv9fkQQ8ZgzcHdChYZIwgqa67Wl4MrU8zRMf7QG+E+hlaFGJcrqJ5nfomFquz1N0qDaQukcZaIfWKjxF3TgMJCptCFA9coUnuAsJT9FATimlmrq11z2qgjtMSgdjDa52vSYz1GS0I+PZ6uQpskJ1mjWFwQIdKeERo+4B6L2aX9yuz0MLvo1uaed6DmdAKVULHXpmYbVLr6K1wqrKiuzVRZQrrls8OqiwF16cF7zLdP9bcF+mm4L2rPaEV4BPjGUrJ9rLexI6JuDzaA3pWSBNKfU9bjG4RMSulMoFHIZmgFLqTWCx0t9A2kNVQEpEZLdS6mvjuiuMlLsflysWoQ0dbytD6e+2fIHWlFyhif6FDqJ5gtPjrJ0P5qCjE2ygKuzJs8CnRp1/REcRCVNKfYfeP3LhRaoGY/dIyjVhO3ppr0aIyEZjD2klUIA2LKgxUKsHfAz8S+nYhWbgFRE55VJIRUcnd8W6c6Wd7Tn8avTDEXQ/PamqIkS/LCLHlNt3iEQkydhXqx7P7DO0f9JYtKZ93t9G8sILr5+RF15cZiilnkDH+Nt6zsz/g1BKJQJ9ROS1c2b2wgsDF71Mp5R6WCm1Sym1W+nIyiilwpT2QUg2/kONdJNSaprS1lYtjbQeSvtA9HejOcfYaPfCiz8tRORf/18FEWjTbq8g8uJCcVHCSCnVCh3ssxPalPVGpU1xx6FnhE3QFjauT+xeh7aCuhn9bREX0qkhDLsXXnjhhRe/LZRSnyulTiqldtVwXRluCAeUUjuU27e5LjcuVjNKANaLSLFh3bQc7fswEO3zgPF/k3FsRu9NODl9M3Y7kKcML28vvPDCCy/+q5iKdpyuCX3RRkRN0HupH/5WFblYYbQL6K6UClf6E8H90CazdaTqE8LH0V8uBG11dTXatPbNarQmcrp/ghdeeOGFF/8FiMgKqr6N5AkD0R8zFBFZh/5KbfRZ8l80LsqaTkT2KqVeQ/uVFKGtZiqq5RHDQgdDexp6BiF9bYVSCjcrsDNgtVqldevWHD58mLi4uD/M/4EDB4iIiCA7O/sPUR/3/5iYGA4dOkSzZs3+EPVx/z906BDBwcEUFBT8Ps9t/35iGzYk7ehR4mJjOZySUnm9bu3aHEpLo3lCAikpKcQ2bEhKaqqu98GDRIeFcTw39wy6DWJiOHzoEI099PeB/fuJi43lSEbGaekH9+8nNi6OI+np+vzAAcKtVrLKymjUpElVvgMHiIuLI/XIEYKCgsgz7p965EhlveIbNeJAUhLRoaGcLCqqsf2RAQEcy82lcdOmpz2PMLOZHKdT1zcpiQb16pFx8iQR/v6cLC4mOjSUjFOnaBgTQ9rRo8S63d9FJykpibi4ODKqtfNS/l393yAmhiPp6cRERZF+/DgNYmJISU2lUePGHDp4kHqRkRzNzNT9lZxM/bp1yTh5spJOgMVCXkkJTdz69Y/yf+DAAQoKCjJFJKL62NdYKSm+mEHawDEdgaPELekTEfnkAkjUQ3+Hy4V0Tvc9u2y4aNNuEZmC4XmulHoFXckTSqlowxQ0Gv211vOBSztyeLrYpEkTtmz54zlyp6enk5aWRufOnc+d+b+M7Oxstm7dSq9evc6d+b8Mu93O4sWLufHGGy877fR16xAR6nfuzL979qTLU0/RoFs3dkyfztHNm2k1ZAgHFy6kcZ8+ZCYlcXLXLlq++SZxPXuy+p//ZP/s2TB2LF3j4ynJzWXLJ5/Qf8MGkmbNokH37mz+5BPKCgq48aOP8AsLY+attxIxYABt776b5S+/TId772Xjhx8S3b49rYcN4/jWrSx86ilu++knTGYzvz76KJ3efhtneTknd+/mwLx5dH3vPWKvvpovunen73vvkb5mDYcWL6bv3Lk4SkqYfe+99H3nHY6sXs2+khJqnzqFn48Pf3n4YbZ/+SVHN24k4ZZbqN28OXPuu49+775L+rp15Gdk0Or221nw2GMM/Pxz5j3wAB3uv59jW7ZQXlxMTOfO2LOzcdjtiAgRCQkEREZSbrcTEBmJb61aHF68mOgrruDIqlXkp6dTWlBA5u7dHN28mdKgIMz5+dTr04e+77/Phh07aNmyJRERZ4ypHiEinNq9mxM7dpCVnIyjpISKsjIs11+PNSCA9HXriGjRgpa33sqqSZMYvG0bC598kp4vvUT2wYNkJyfTYvBgsg8eJG3NGuJ79cIWFETS7Nn4BAYS2bo1x7duJf7aa/no/vu5/oknyFu1ioRBg8jcuxd7djYtb72Vn+66ixuN57rg8ce56b881uzYsYPExMRUT9fsuPlJXASehxLDl/APj4s27VZKRYrISaVUA7SG9Be0MUKWiExSSo0DwkTEY/Rew2ruCRG50Thfjw5ZcqeILHPPGxsbKykpKRdVz98S69atY+XKlTz55JO/d1XOQHJyMlOmTGHSpEm/d1XOQHZ2Nk8//TSffvrpZaX7w5130qx/f+Y//DC3/fQTMwYMoPvf/86eb7/FLywMk8WCPTOT8tJSgmNiyD5wgFa33ca6yZO57ccf+e722+n4t7/xxFtvcW+jRgTU1rFHzb6+2E+epKywEIuvL/6RkWTu2cNV48fzy4MP0veDD1j/5puExMXhLCvDnp2NMpsx+/gQGBVFQXo6JquV+p07s/nTTxk0fTozhwzhujffZNUrr1C7eXOcDgfFWVmENWlCaU4OvmFhZO3bR7ObbiJp1izqtG5N5oEDfJ+dTcdTp+g8bBiFx49zYvt2Wg0dSvratTgrKgiIjKSsqIiIli05vnkzZUVFhDdtislioejUKaSiApPZjDKbCYyOxmS14iwvp6KsjPLiYgqPHqW0oEALhvJygqKiqJ2QQKPrryeuZ0+UqWplvzgriw3vvce6t96iNDeXrY0a8ers2SQkJNT0iBARFjz5JHu/+46S3Fz8wsKIat+eyJYtqdepE6FxcQTWrYvVzw+Ljw+l+flk7t2rhc/Bg5QVFuKw23FWVKBMJpTJRFlhIUXHj9O4b1/CmzcnbfVq6nfpgsXHh8ykJGKuvJJJL73E1X37Uq+0FGU2YwsMxBYYSH5aGgXHjpFw883s/PprQuPjCapbl6RZs7hm4kS+HzqUkStrcte7PPjyyy+58847N3sSGjFKydhLoP00eKTrDqWjus8RkVYern2M/lrs18Z5EtDDbTvmsuFShNFKIBztuf6YiCxWOqz8t+hQIanArSLicT3SgzAagI4E0LO6MGrRooXs2bPnour5W8KrGV0cLrdmVFpQwMqJE9nwwQfE9uxJxrp1iNOJf+3alObmYrLZkIoKxOnE4utLeUkJJrMZi81GUVYWYU2bUnT0KCV5eSTceivfTp9Op+hozFYrJXl5WH18cFZUUFFejtXfHwU4yspQSmELCqI4Kwv/8HBMNhvZyck06teP45s2UZqXR0iDBpQVFFBRVobJasVksVBRVoazooLgmBiKTpygNC+PyDZtKM3Lo+jECcw2GyarFbPNhi0wEHtWFqX5+fhHRLC3tJQm/gH4+dhwiuAsK8NZXo5UVIBSIILJZkOZTJgsFmwBATrd6aTC4aC8qAirry+24GCkokL3R1ERKEVuSgq+tWrhHxlJ7WbNiO7QAUdREQcXLeLoxo2U5efjFx5OszGP0O/5x057Bj/efTez/v1vEq7sytPrVnl8Ttve/AeznngBZTbT8tZb6f3aawTHxJyWZ9HOck58+CSF61Zgz8nBbLPhFxZG3Q4dCK5fn8hWrQipXx/fsDDsWVnkHDxIfloauampFJ86pZ9TWRlOhwObvz8+tWrhX7s2hwoLqVuvHlG1alFRVkZY48aYfXzITU0FEXyCg8lLS0MphT0ri/KSEvxq1cLs64vZaiU3JYXer/021uqGZuRRaDRQSi5lqjv20oXRDcCDaLuAK4F3RKTTJVSp5nr8GZxevZrRheP/k2a08ZNP+OWhh/SAbDKhlKqcwStAnM7KgdrpnseITuAsLwenE2w2fAIC+E9BAbeIoJxOMJsxmXUUIBEBEZRSOJ1OTBYLOJ04nU6UUphMJjB+Ul6uZ+9KoaxWTBYrCDgd5ThFgVIoBEGByazrp5yUOv2w4MCsnIhAifLV5yZwmmzMshdT29YRVeFDsKmQcGsRwZKDTZVTYg4i1dwIf0cuUZYcfJ1FnFDRpDqiaBBQQKjKI8CRTaEzgLX8hYY+mdS3HifUmcVRexA/mgYTH5JPl4gTxJbvo+DgPjYVxLEx6nbuuacdf7u9HvMfe4xf5ycz3XEbo0a15ZNPBlY+h97NWmF1hvL2/Lk0aRR82jNKe+5ODsz6klT/Nty94fQ4t5s2nWLk6BXsT8rH99p+jAv+B726JNBs4EBCYmJwOp0sXHiQH3/cx65dpzhxopCbKr6nSWghQXXrUicxkZC4OGo3aUJQvXpkl9o4mFbKgQPZpKXlk5NVRP7KZ2gaHkojX18cpaUok4nA6Gj8IyLwDw/HLzQUW3AwPoGBWHx98Q0NxT88HJ+QECzGZCSwTh1+C5xNM4pVSi7FuuvecwgjIypHD3SMyRPAC4AVQEQ+MqJ1vIe2uCsGRorIpkuoUo34Uwgjr2Z04bhQzai4uJi8vDzKysoAMJvNhISEYDab8fPzc49ifclIS0tj5syZtGnThjZt2hAZGcm6detYsGABn3/+OY888girV68mODiYmJgY8vPzcTgczJ07l7Fjx+JwOOjduzdt2rRBKcVrkZGUnDp16RUzBNZudAjqyiaf6xVRChEoVT4IJhAhl1qYKceKgwKCSaIpDszYKCODepRjwY8SSvAlX9XCShm+qowMZ10sOLBSihmh0BSs5VRFGVblpIQjKBWLUjYMWWlUQSEilXU2mcyVFdfNEkQUVqsZpQSHw4nJpLDZ9Lax69zf34pSkJNTgtVqplWr2gT4W1i1OoOysgqu7tmQhQvvZMgtM/nxx334+1vIzR2H1Wpm2bJlDPrXEcL/Ekvy81UxUx2OfOyvhJCxpynNZyRVpmdnF9Os2XtkZlqJiUvkvbcaMXBAQwCKisoYN24xP/20h8zMEoKDbbRpE8V118Vzww1NSEiIoKTEwfz5B1iw4Osw3fkAACAASURBVCB79pzixIkiSkrKCQ72pVYtX1q2jCA2NoTGjWtjs2+hUfNmNEtMxGy1XhKbXG6cTTOKU0peuATaI89DM/qj4E8Rm664+FLsSX47pKens2rVqj+kMMrKymLBggU0bdqUvLw8WrduzfDhw+natSvLly9nxowZ9O/fn8TERF5++WVeffVVatWqhc1mQymFw+EgLy+PjIwMdu7cyeLFiwEYN24cycnJfP/994wcOZKbbrqJjh07curUKfLy8liwYAGJiYlcc801+Pv7895777Fnzx7at2/P3Llz2bt3L6mpHvdqKzFv3jwWLqwem1Pj0UcfPe3cz9cXe0kJ3an6iA/oYdglQ87bf8GYmO0I8qVufAyqZUvMJ7MJK9hD8fosnJhxoCjHh6LgaMpVEEdiu5Ge0B3HQTOHnY2RHAdhpzLJL8rD4UwFUxGEWjG3CKfCLlBYCnnFmBLr4jxZAdnFUGCH0EjIKAB7CWWUU4Yv4HQL92rDIQD7EakL2Agmh3yHK35rdYlZZdyqlGulTnA6nDRmP4dNTSlxQmlpBWazCadT95jDUYHT4cThhMBAK8n7ThKdu43A8A4MGdCYKd8foNm8tQxv35p//KMnrVp9iM3nZcpKX2DRokV8em8S8XV3o0MUakxt1xjfb/syPGFeZdpXXyUzbNhXWCwmVq8eSpcuOgj47t0nuOGGrzhyJJ+gIB9uuqkZ//jHNTRoEALADz/s4cEHf2HXrhMUF5cTGupHYmIdbryxKb17x9OyZSRW65nxbidPnk9obMM/nCAC2L7d0xdRNEzAWaPZ/g/BqxldAv5ImtGxY8do2LAhTqeTO+64gy+/9PxZoLi4OPLy8hg6dChRUVGUlpby/vvvY7fbKSgowFrtZb3lllv44YcfTkuzWq106NCB/fv3U1paitPprJwwfPbZZ9hsNqZNm8Y111zDs8/q4M7bt2/n2LFjbNy4kZkzZ9KiRQt69uzJqFGjcDqdmM1mvczlhm+++YahQ6s8Anr37s3ixYtxOvUI3a5dO+w5OexLSaEb+ot2DdGhovOA7ugP+pSi/Q+e4vSvv1WHrwni/GFl/TDad2tEaUgcB1LyKLKYcQTa2HyqASYnVKQXc6o0lPKAAMrDfQmI8yU3yxf/XSkE7UmleZMTzLP0R+pFQWgs5jqxWLYUU9opFiIUhDvBoaDQBA6BOAEfJ7ytaFCwlOORCfhm5oCPP/YTFsqD7HBqNy2O/sgeSx1wRAEFXMN8NtOaPJxoNz8TbdiKAPtoTnnlMOYwfgorWUSznSN0AKqs3gylEJupghtlNiulK4U+EdhLwc/PRIjNyXV5U0lueCv2xkPYtraMhIZbWbVqJOGNpmHp/VcW/m05LRISsA2OImnknSRZenHXXXfRHegbFsIzWTpG7fI9J+nRYSdh/nvJynwQAKcIzRLe40BSNuHhvnz11S1cd53+ssbmzUcZOXIW+/adwmIx0apVJGPGXMGIEYn4+JzffHr9+vVER0fToEGDc2f+L+NsmlETpaS6Y+aFYMCfSDP6Uwgj757R2eG+hDZlyhS6devGqFGjSEpK4tR5Ll+1bNmS+fPnk5ycTHZ2Ns899xxJSXpJpX///jRu3JgPP/yQkhLtstC5c2cmTpxIy5YtiYyMvKD6Xq49o2PHjtEoLo5+paVc4Q/PelCgewAPtYHWTcGvmxlzUQWZabCrLIzcRdlYIiAmGOSF5sxLu4U2sdv5+MUNjJ9Qh5I9/pgbWfAtcOCw26gfmUmMJZ2jO5zkHCzBfJ0/O39x0OhqC+Hxvsx4Kx8ySpmslUia9WtA8sIMnOVaS/EfcjNl5kgqBj6PHIyCYwpSFdFH1pJNQ8oqatEu7QuS/fthKzxEiP0E2cHtKaobxXVZT9CoYAlTSpwUVaSd2VA6A9fTk4X4UsQyemEnCP2tvckoHNQinBzKCcRMQ+qxm34Y2wMGnIAJhRNBaMZBkmiKv9VBcbmFK2ulsCG3AWDioVFNeGdKMnXrRjHll7/S9wuI2/I8I6/1Yfx4Hdw8ICCAyMhIDh8+DMADDzzAmDFjuPd4Oilvmzkx93oA9udW0HZnPiU3f8ynr/Vm1Cj9dY3FKyq4ZeAH5OVmU6dOAG+80ZthwxIvilcmT55Mx44d6datRnfG3w1n2zNqopS8cwm0+/2JhNGfYpnO39//966CR8TExFxW5nY4HBw7dowjR46QkJBAWFgYAFOnTmXkSB3tf+zYsWRnZzNo0CCuueYafv31V4YNG8Z//vMfAEaNqvoK9owZMygoKODee+/1eL+AgAA++ugjRowYwe7du6lfv37ltbFjx+Ln58cDDzzAq6++Stu2bWnTpg1+fn7k5uaycuVKzGZPn/85N/z8/Bg4cOC5M54D0dHRvH/llRxZsYJcN0HUE+gIhARBkC+0ecZC0YAYvjbdRHTJceJ9D1FUHsueR4/SKPIkpQ82YL3tChb73cTsA8Op3eNjpm8IIu/2Njzk/wHRSZmUV5gItBaSGR3Agv1XsoVDfNtvp77huxAdVMCxAvhLQzNQgQVImncEK9AGCFBgnzOHWsF+HG/cndRmvQhsUUhZuBWnJQBLoMJ0sowtu8cQtCqNDr/8QLZvPBU5m8jN6ckRGpBHJ3rzM8e4hjzCyEVxnKvQ+mAtoIB0SkknCjvFBHGUTqxnMY8Sx0FCyWEzHRjMVBbSkoakYsePCizkUovbmcEaruRalrKCbvRkOVkEUb/8KHtoTkLuEk7RDV+bjYApL3P77bP5+utSXv7bDKITh3K41rVUVCwD9MJhUVER3a/pRl/rCU5l3cDs2bOZOmMqRVn6m4edOnXkzkGDePzUrTR5oIDNJ57Gx6xw4mRi3vuMf/Ze6gS1Y9PGBBo3Dr8kXunSpQvR0b9J4IBLRmJizQL2/9My3Z9CGP2v7RmJCHa7nezsbDIzM2ndujW5ubnEGGauJSUl9OzZkyVLlgBgs9kICAigqKgIpRT5+fkMGjSI9u3bn+YMPHjwYL777jtACxr3Ja7quP/++5k8eTIWi4Vnn32WtDQ9246Li2PTpk2Eh4ejlOLee+9l9OjRdO/enfj4eAYOHEhoaPUPj14Y7HY7s2bNuiym3cWFJThRvG7smUShv1bnD1hvaMCeD8YwuPh1ctdn0froTCw3NCWjvD52X18yX78Lgk5RrI5RKgHcd/QJojuXM+n7dBJ9TJT9bRBflg6jKC6QiIk/Mm/QK9zdrSvfvDUJa4NyOiwczKbd+wE4VqDrsy61gu7oeFk5QDmKnf6dcNr9CbbfSIAdjq68noa3naSBOkzdk1sRUwX2FvHYWpdCDxOlcSfx8ctm7dgnKd9ng7wIdh56FtY5sW4ejqV8JFbnKfLJAbIJZh+JbGcl15NMOPq1jsSOH9HMxoKVk9TjENr/ZyF9yCIcJybasI0g8igikNqcwJdi/sNwrJTxCWOoQBFGJuXYmMo9mKmgosxMoc9fOfL1ehIT67F6dQYLJxym910L+eLmO9i+vwlHfN/kxvqbmVmSwk/2FjyRfA3JyckMHz6ciEYh9Gh/HWazmVcn/J1rZSJz/pWPUooUZzajStcwNmg2qxf1povv5ZnsrVmzho4dO/4hl+m8e0Yaf4pluv+FPaPCwkI2bdrE8uXLSU5OrtRkAB588EHGjBnDihUrKCsr49ixY4gIUVFRPP7443z22WdMmDCBvn378vDDD7Nhwwa+/fZbfv31V8aPH89LL70EQIsWLUhLS+PJJ59k0qRJhIWFkZ6efkZdEhMTz3gBTp48eYbnvCcLum+++YaePXuSn59PSEhIpdC6EFxOP6PWUd9QkPkVqRU/V6YFWHx5wlGC86sbOTy0D7F5qUSdSCP95X18U/4mGYHtGLmlJ47ld/IX6zoCbIWUnAqi6OfDnOzdjlkrAjme+gD2PAi/uYgyqy8BjfMJtBQRbTlCC9M+jpQ0ZPXRrtjtwXT4ZggL/rkWgBA/GJUYhAwdQpK/YFq8mf07Cqid2IZ12e/g3G+H++KhxISppZ0GbXeSn1qXho1TuZYlZDuDMUU4qfPiT6QQy/a/PEThhkBO5YRR6AiD/QugbVcIDoKjClaUY0vdzzXOJ5nPQPSHd6tgogInFrQvf7nrCaB31soAJyZ8MNMZQVGBGcFEJEfozhq+ZygWynFg4grW05MV/KsyGL+GMgcgIVcRPKKA/LJWyAd1aJmzjGcdbdl0Uvg++gSpoc14++2pPLqhNnw9gMmTJzPh9YbkHRtUSWfEw0/za34ufpEFBM3bydtvvUWPHj3O2Eu8GFTfMyovL8dqtRoWiJfPUvRicLY9oxZKyfRLoH3Fn2iZ7k8hjP4X9owaN27MwYMHadasWeVejNVqpby8vDJPkyZNSE5OPqNs27ZtiYyMZNmyZZWm1wDNmzdn3759TJs2jVGjRtGhQwdKSkrYuXMnDoeOrNSiRQtiYmJYsWIFvr6+xMfHU79+fdLT09mxYwejR4/mgQceoEWLFh5fysLCQgYOHEhFRQXLly+nXr16JCYmcu2111JaWkpOTg47d+7kl19+YceOHbRufe4vgl9OP6MXwxqSUnCUqY6qSFKx0Z1pdX19Gq7ZRub2JxlSMJ1Jx/9ORllDqF9O5xHjOfzyrTTqWERXWUUb53YOOBvx+vFnOeGsg//jN/P4G4ksLe/Bwl/7EX70FPa+AZTt9cH/yEFyF1cgRX7gG0pwk0z866bSp/YepH0FpS39aBCQTWhhNsfMdVm2qyc77m2Fb48DhF4TTHCHIlJmx2GxVlD/+kMEBBeTUVIPe4o/xQeDifA/SmjzHAKDCqhbLwPndittGm9mfWYXFj7YFVn3OJZ+zxDzkhNHpBlHuh+WfAcn1kRQ/i9fyDkOshOYDyxCC5yjaEFUB/2h2wD0sl499J5RE3Twk5qhqOBhJvNvRpDD6f42vmF+lJjWUbtkKZn2HnTrbGPVqm9roBTN1q3ziG/VkpD62fTs4mD+1xEsXL6cMbWDyJzemoJXrcyfP79yKfdyjFGuPaPu3bsDMHr0aBYtWoRrXHn44YdZsWIFzz33HMXFxVgsFpo2bUq9evWIiqr+QdvLi7PtGbVSSmZeAu0WfyJh9KdYpvsz7xnZ7Xaef/55hg8fjohgNpsrtZ7du3fz7rvv0rdvX3755ZdKQXTHHXdgt9vZu3cvgwcPpnnz5iQnJ3P33XfTv39/8vPzqVevHt26dWPfvn2sW7cOs9lMVFQU9evXx+FwsHPnTgYOHMisWbNo0aIFJSUldOzYkYYNG5KcnEy/fv3YvHkzixYt4oMPPqix/oGBgZVm3WfDF198QZs2bQC993W2/aTLtWdUUVFBtrkxJxx1gXWV6SlZe0lZcDWWmz+hdnomtdetoMnyTyn9x6PcFPQDCVPzebMoEpskUUwgs+VmNjiuIJ0GRFuPEtmnAy18t9E09xARpXm0bLyTukdPEHAwA6s5kPReAVgKgigNN9OsdDPWYGFLeFfWWrpwaGEcc+bWw54eSkVsOdb6GXQZ/Q0nj7bnwE8NOZZmImpkKu0iNlOrKB9ldRCffZDCJkEc8G2Mvdgfu8WPDJ+6rP+2O5a8cma/OABTSRIW6z4kMh7HtiyOf9KKhJt3EXX4APPnDUZK/FATKyDBD+lh9K1KAHFNburRlmgK6MJBLtwIQDDzFk9USy0BJlGSDfVUGEXSBmjCmjUBuL68fu+9bfj00x2IvIAa9AX8eA/t2rWrpLD0B3jhhXG80/bvfB/bj911+zNo0FKOHDlCVFQUb7311gXX1RNce0bTpk1j+/btrFu3jgEDBrB161ZWrlzJwoULeeWVV7DZbMyYMYPk5GSUUoSFhZ0X/18KzrZnpPiTDNKXAX+Kdv6Z94yOHz/Om2++SU5ODrVq1aKsrIy5c+eilGLNmjWYTCaCgoL45JNPaN68Oc2bN2fDhg106tSJhx56iHnz5vHWW2/RsWNHJkyYwMqVK7nqKu1Q6JoxRkdHU1JSQnFxMe3atWPfvn3s3LkTm81GcHAwzZs3p1GjRqxcuZKVK1cybty4Siu7q666ijvuuIPS0lLGjh3L1VdffVF9MXLkSBITE7niiiuwWCzk5uYSEhLiMe+l7hmddVkl9HXwaQtlhfjYUsjeHU/6wOu5+dYfeXHDrdSbdhRrpIOUZxL46tCdJDdsQjvTNq6zLuSR2u9w9Zo13PdRPvETndQSuDJ+EXlt48mLDaLMVk5xJzOzVg8nPF4IrZNDljmCiLxsYg8fpWv2uwTE5eP3tyL2BifwYeRfCfPLonfBIuryJfa6vmwqaIe/vYTY5CN0D1zJJnt7ouse48SpKEpaWkk7FEvt/JNk1gnnWIsQtpvass3aBPv0fFTHGEqL9mJrdiMlq3zZOjMY7FdB7laILkfmTQfntKq+kL3Q4hU4MRay9rCNNWjNqDoKgW+M/zHoXQo74MPpXloT0F+CqbwB0BQoJEPGAIuJjISTJ6FOnWBOnCikTh23SAx9hhHYoTvt5t/DSvunREZHkPqtP127PUfxpAD6AvrTaNCwYUMKCgoYOnQoriV6pRQvvvgi06ZNo1atWpSWljJkyBCio6OpXbs2O3furLxV9QmRa89oxIgRjBgxgpycnEoDIR8fHx566KHKCVLfvn1r5q/fAOfaM/pjTsUvP/4Uwsjf31+HX7kMa8eXE+fSjHJycoiPj690KAXYs2cPX3zxBbNnz+app55i8+bNhISEEB8fz9dff10paFx455132L17d6XRgLsW8+ijj1JYWMjf//536tSpw6+//srx48cZOXIkH3/8MXFxcRw/fpzg4GBmzqxS9l955RU+++wzQJuCu+DyJ1q9ejXt2rXD19f3gtbT27dvT2FhIYGBgdSqVYv+/fvz2WefnWH6fSma0caNG6ulKCodPuvPg1MhEBOO75W1uG3iD8xY3oimgfu5LncxgXVKSPtbQ0Iqcmlbvgtn3FdsNF1J3YqTDE//kYAlR1n0TjmJReA7MoTnQydSnFKHrQ1ac9i3Ec49gvo6FUlJAwlFLCcRGyD1kZI6EB9Ng85CTDMHfW7+lQ9ee5CA20qY364nO20tCFPZWJ1Ci7q7WVTai/1LWhBv2k5acBviI44SlFNBVnQtNoS3Z+fuNuwe1x4yVkGWHb/QXCrWRiL7u1O6tTbc5MA33hdTZiES2Zg6xQ+RMucnXp0UyjPjcrCFBfLyzmG8NmcYWRtM8F1DyItCe10tQkd+AcgHlqB9jloCHwG3AF8Z133RAszFlwfQoSev5kyvrXhOGnH6r7yyAT//nEbTpm7P/pGlNEpIou/gIax8tjkngYSEWFJSmmOz/czx493OMI6pqKg4Tag89thjJCUl8fzzz7NgwQIA3n77bYYMGYKIkJGRQf369RkxYgRfffUVq1evJiUlhS5duhAWFmZEopBKQdSyZUv69+/PggULuP/++yvvM3jwYDZt2sSuXbsICAiokR8vB86lGfldyijt8TsIf1C4Hs4f+Wc2mwWQKVOmyMXA4XDI66+/LsOHD5enn37a5Zwvjz/+uIwYMUI++eQTKSgokOzsbKmoqDhvumvXrpXXX3/9jHSn0yn5+fnicDhk8+bN8vnnn8vDDz8szzzzjIwfP15SU1Mr6wBI06ZNZfny5XLw4EEpLy+vpPPmm2/K999/LyIijRs3lhkzZsipU6dERGTdunXSp08fady4sQQEBAgg3bt3l9atW8uuXbskKSlJwsLCpHnz5tK1a1eJiYkRQGbOnFnZJzt27JBZs2ZJ//79JTMzU2688cbT6gVISEiILFiwQOx2+3n1yYkTJ86godmsCllZWTJ69Ojz7md39O7d+zS6/vHPVB6rqWUSte+INMvaLr1LZsuJQ+Ey1X6rPOj8pxzNi5Cj+ZEyUwbJVBkuc8uul+Nz68qx1+tK9ivh4rjPJjlNrJL6QW3xb3Sd1I1fKWFLsmXy4Qdl26K2Mjr1Qxm14SPp/sNMsXbeLjbbB2K1viQ224vi6/uK2GzTxeqzXqyRBaL89knAuGx5PuM52bKwpaSurSv33q55OLpbggBiDQuR2o2flMCIA4LtuMA2weffgu9Ggdlii3lDqP+joD4Uyw1zxTdqjoSN+rfQcYSoh7aJdXqmXLFjibxY+rAst7eWAWNqV/bDFdeGCyChA4fJI/nPSfSEjULzZKF/sfB4idCxWGCtQLiAj8BTAhMEHhbwFwgUuKXaM5wg8KzAVcb5DUaa+6+7wAMCE8Tff6LAuzJ3ea7APBERgZHi5xciISFXC4TK8ePH5Z+HMwVelYMHMy+YFzZv3iyArF+/Xux2u8yZM0euuuoqiYuLk65du8rEiRMFkDvvvFN69uwpw4YNk549ewogbdu2lRdeeOE0eiNHjpQJEyZIbm6u3Hnnnfp5RUcLINOmTZN33nlHxo8fL/fcc48899xzMmzYMElOTr4oPnZh2bJlEhISIsAm8TD2tVVInu/F/2qi+0f8/SkMGJo3by47d+48IzrAubBq1Sq6d+9O27Zt2bZtG3PnzqVLly4UFBRUGgJs2bKFW2+9lXHjxhEZGUlGRgYmk4ny8nKCg/USg9PpJDIykoYNGxIdHU2HDh1QSrFz506+++472rRpw5IlS5gzZw5HjhypvP9rr73G008/DehNytTUVFq2bMnVV1+NxWKhZcuWpKWlER0dTXx8PKtXrwZO37DNysoiICAAi8VChw4dKlV6p9PJ1q1befrppykoKEApxTPPPMOSJUt4++23adq0Ka+88gpTpkzhl19+qaTXq1evyjXw8PBwsrKyKq/NmDGD2267DYAnnniCN95447T+XLhwIddee+05+33AgAHMnj2b4OBg8vPzAe1z4tr7u1hruqKiIgIDAyvPO3fuzNq1ayvP/aYX0WhIEo2sB2nOHnbRisd5iyRnM/qWLCbsWBGLG/YkzxRCn0ULYVwWtZTCp46TslgT700azZaMtsy8cjXtn7yRhSfvJufBYK5bv4ARA7/grjlfkvJdIAee7cwPRzuSlh5Ayn/CIWknIhWIgN0+B5FalJfPO63ufn5gt0O9SMjw8JWvx+6qRXjhjSx2DiXxrQ3Y5hxhw7e3sbHOFZQ08sX24ymK9x0EssHcEOQo+DeC4DT8bvwL1mud5B/2IShkMS12fsT+rxfTuXsw82bpZTnL7cNx5LQktn4WFYOvIG3bLfC0DRgCJFI1hf4YbcxwFdrIAeOaa3p+BPjcOA5Hf5W6sXF+GIgEggET3PUEvcuEhT8WUV5QC2sTmPeriX4d10JREeK4Fp9rdhP6hIXj/ZpdEC+448iRIzRsqGPaLVmyhJ49e1Ya8rje1QuJwKCUYuzYsTz66KPExsaSn5/PyZMnCQkJoXbt2pVxAI8fP07dunX5+eefERFyc3Px9fUlNDQUPz8/nn76aYKCgggLCyM2NpaioiK++uor6tWrR48ePbjqqquIiooiMzOTgQMHejQ0uMKiZF2gp1qeH2x5fx4Dht9dGp7PLzg4WPr06SMZGRnnnGn8/PPP8sADD8j48eOlX79+4nQ6z1nmfJCRkSGbNm2SmTNnymOPPSbPPKNn5DabTeLi4mTp0qWydOlSOXDggGRm6lleUlKSAHLffffJunXrpLS0VNavXy9vvPGGPPfcc/Loo48KIM2bNxdAHnroIRkxYoT89a9/lccff1xiY2MrZ6YRERHi0hBnzJghx44d09qAUlKvXr3TZrHTp08XQKKiouSOO+6Q1atXy+7duytnka58KSkpMnLkSOnVq5c8++yzlemxsbGVGtqPP/5Yo4ZTE44ePXqGZrR27drK6xeiGeXn58tLL70kKSkp8uuvv8qUKVOke/fuMmbMGAHEYmkvZr/DEniTQ0KfLJNbjs2VT51/lR1FrcW5yyIyX0nRhkBZ67xSio5Eyrqc6+Vrx1NS+Gs3OXnTdVL24FCRSfeLfdEEWe5cLjOSUqVDx+tl3e4tIlumS1r+Qvlyd7EcLJ0t9ln/lIJvXpAdjnflfVkk9+fsk7/cf0ISEj4Qszn8jDabLC9KUMIJGfDAj/LPnHGyqbyzHFpY9az2X43s6qCkbW19fncbJNiKPNMBmdwT2dQPKY1FsusjS++pJx2ujhDfNm2kbvO7hM6Z+vnbgsS3918F25BKumM/SJCbX++orxtaM6YoodlGwf9jIaKfAGJOaCEE1RWwCkwytJsWAqHV2nJHNQ3oBYHRAre5aU1/F0gwtKNOAi+K3w3ZcvMPP0vQSxmSm7FKmOOQtOJioV66BDRLERERmCg9e355Ia+iR17bt2/fWfO9+eabsnLlyvOi2aVLFykqKjprntGjR1euagwbNkxWr14tycnJsn37dlmxYoX88ssvMn36dLnjjjsEkMmTJ4uISFlZmTidTikvL5ctW7bIZ599Jh06dKhRg7nCgkjkxf9qovtH/P0pNKMWLVrIxx9/zNChQ8nNzWXixIkMGDCAsLAwQkJCTtvXmDlzJrt376a4uJi77rqLmJgYgoKCfpP9prS0NBo0aEBwcDC33HILa9eu5aOPPjqrEYCIUFpaiq+vXm9PTU0lNjaWFi1a0KlTJw4cOEDTpk1ZvXp1pQn4HXfcQXZ2Nk2aNMHX1xeHw4G/vz8TJ048jfa7777LsGHDCA0N/T/2zju+p+v/48+bnYggiU0QI4i9965Ss/auxqxditpKaVGrKFp7b629ZyRGQuwZCVIiS2Svz+f9++OTz232EsW3v9fjcR6fzz33rHvPvfd93ue92LdvH56enoSHh7Nx40YiIiK4e/cuNjY2zJs3j0mTJhESEkLOnDnVPszNzfHw8ODFixfkz5+fW7duoSgKb9++pUqVKiRUr1+yZAlDhgxRryMpksqaEgqUM8oZxcXFJeKGq1SpwogRI3B0dKR69eoYGxuTK9fPhIZZYNR7FDkLa2n9tTtflblMzeic5I6rAebldCEaMoE9e/bQuXPn7OHB8wAAIABJREFUDMvL7ty5o6q058+fn4cPH2JllQtPbzh/PopLEUZ49nxLp9yLsdF40WXtPszWxSD1jNCWMOPyWy0VcsRhdSkazWgh7q4RbsbCj8s0uHlC93CdEvZGdCoGL4FvgRUKFMgJtSpV5FBUHqLcLmCYOw+N1/QgwrQJD3zLEVfahEj3vyna3BpTjxgejrRC+daWTuP+pJKpB5v2FuXp8wbIwcLgshHYjS6aQAA6rmlm/FWORcfxJMVMdDE1DYDNgCVQAL45zompjYmyMKXN16dR2g+jy1c12UpXzNtB484xDLUIoWfPA8TGDsPIKGvePBRF4dq1a9SokfbiPzt809WsWRM3N130BHt7e+7fv4+7uztly5Z9J0PwtOyMapgo4paxwLkpQnn5/5xRtiZLS0v5/fff1VUJ8Su2RYsWybBhw2Ts2LGqvOfKlSvStm1bady4caLV3fbt29Na6GQJepnRuXPnZOXKleLm5iYGBgaJOAgPDw+pVq2aOg49FwSIoaGhWk7Pab18+VI0Go28ffs2RW5Eq9WKq6urODs7y6pVq0Sr1crff/8tc+fOTcQFXrhwQQYMGCAikojrAaR79+4yffr0RPKphw8firOzs9y8eVOcnJwEkOjoaBERiY2NVet26dIlUVujRo1K8d5AYi4h4dhS44w0Go0A8tVXX6n1HB0d05yDv/46rd5XT09PcXZ2lvXr18vGjRulfv36Ympqql5HRtG1a1eJi4vLUNmE1/jy5ctk57VarURFRSWXRd6/Jlq3oRL1tKRa3wKkY25DmVPIXI59ZyJbyyDdDJEKRkjL3LoyNiC1QRqB7AU5aoj4L7WU8qO/FpMCNeXzZ3uk7rfNpHx1M2l8b5cY3fEXvoqT4ntuicMJN2GCRorduSkdJ9dR+zUrYp3gOhSBxvGcjp4TmhbPDSWVEc1MUG+wQH3RyYxmC7/Gytfn5suyuP6i3Y7EuVUVfx9LiYiNkMHaheKuPSBVf78lWB3P1NwkRb169VKU2yZFZjij1JAZeXJmsGnTptQ5IxNE7LOeUmv3Y0wffAAZGiRIuXLlZOrUqVK6dGnx8vISHx8f9UXo06ePBAcHi6mpqQAyZcoU8ff3l8OHD8uyZctk6dKlotVqRaPRpMt+ZwYvXrwQFxeXZPn6ceXLl0/mz58vq1atSvZxBmTw4MFqHV9fXzl69Kh6rmjRoin2GR4erpbp0KGDPHv2TKKiopKV69mzZ6K+atSooReUypIlSxJ9bC9evCiFChWSRo0aSY0aNaRWrVry/PlzAcTT0zNRn0lTai/oyZMnE5VLSBAiIiLk4MGD6vGePXuStdu5c+d050pPvBKmoUOHypdffik7d+6Ux48fS506dZIRw/Swe/fuDJXX9zlr1qwUz+sF7IDUrVs32cJCROTmzZsCyLVr13RzU726tDU2kqFWyCiQPIaKbC+dQ34A6QzSE2QyyEyQlSCBlkjMbOSbPgZqXwUbV5DSNUtJs+39pEzwFTE7FCB55vlIg4gDUuaUm9D0sW5RcuZX+XtXbvnDt6t892K8LPbuLCYjPQTmp0J4UksJ52CkwAKB36Vi+bni8bCMRF9FYo7nEaNnb+VNVLAc09aVYHkhO4LayC8RQzM8LykhKipKADlz5kya5S5fvizPnj17p76yC+Hh4XL48GE5deqUxMTEyOHDh1MnRmaIlMt6+k8QI3TSzT3o/IrcR+c22Bo4CTyO/80TX9YA2AS4AI7xeU3iH+B2Cdo8hC6+eqK+7Ozs1Il0c3OTyZMni6IoAsjdu3cTrUgPHz4s3333nfpydOrUSQDx8/MTQE6ePJnJRyd1pKZNp8f9+/elYsWK4uLiIt7e3nLkyBHZunWrxMbGSlxcXIofvMGDB0uOHDnExkYng8ibN2+yMvfu3Uv0AdBzMrVr1xZA5syZI8ePHxdAmjRpIv369ZMaNWpIVFRUog9/w4YNRaPRSM+ePRNxb8RzbXpO6PHjx4lkTZaWlrJixYp0709ISIhap0WLFmp+Us5IXyYr2Ldvn1r/66+/Fo1GIz4+PrJ+/Xrp27dvltpOjzM6cuSI2u7Vq1dTLBMSEiI5c+aUxo0bS7t27aRFixayaNEiGT9+vIBOXpcUFhYWUqlSpX8Icq1aYhvPaY8BmZ0jh9QyNpbv4onRTAMDmQlyrRISNwM5eqiB9In6TVgVJXSPlnyPHku5m9fE7XoZKT7fXTC5IcwIFjaGCiAH7tjL71FdZcETJ/nb1VKOeteRQjdvCXb3skCMJgtUEzASzD4TWjwWGr2WO8ElRPMbIksVeRhWVO7GvpTv30wREREfZ2u5e6tmpuZGRCQ4OFh27NghAwcOVIm8Pg0fPlyCg4OTvVvZwRllF+KJj5ridwJSJkbmiFTMevqvEKONwMD4/ybxxGk+8H183vfAvPj/rYDh6PyRrJN/iNEL4HKCNlMkRuXKlUtxUiMjI9UJNTc3l4iICBERiY6OlgoVKsjQoUOlWrVq8ttvvwkgu3btytDDklGkxhmlhD179iQ6trOzk44dO8rRo0fl3LlzKofRqlUr9Zru3LkjVapUkYcPH6r1Ro8eLYDs27dPPD09pWHDhhIXFydxcXHy+vVrdbsPkNmzZ0tQUJA4OzvL7NmzpV+/fjJp0iTp1auXdO3aVZycnCQyMlLKlCkjO3fuVD/A4eHhqgps7ty5pX79+sk4kIxCX75Zs2Zqnp4zevPmjXr+t99+y3CbSfH333/LmTNnZODAgTJjxgyVIGd1JZwSZ5Rw21Sf+vfvn6zuwYMHBXTbiwMGDBDiOdikXJyjo6MAEhoaKiI6wTYg7du3l3v37omnp6faZuvWrQWQbubm0iueM/rZxkYlRjMVRX4AWTDHSZSBMZJ/xROpGHtRWsbskmcP88iG4C/FaISvwFHB+o2Yz9FxYTfv5hPNCOTuajvZ8qK17AxqLiWvXBMqHssCMSoj8JXARMHqsPB9iNAtQnaEt5GoOYj8gNjF3pGtT9wEloqISJGAe9L3/KtMzY2Xl5eYmZlJ+fLl5bfffpPTp0+Ln5+fHDp0SCIiImTq1KnJ5gkQGxsb2bZtW2YfhUzB09NTTpw4ISEhIemW1Wg08vjx44RjTJkYWSBSI+vpf54YAbnQ6XEqSfIfAgXj/xcEHsb/bwN8g86ybr38Q4wOAceBzyQNYlSsWLF0J1ePgACdltHMmUm3D9L+gAYFBcnevXtT5VhSQnqcUULox9C3b181LzIyUn7++WcBpGfPnlKvXj21nJOTk2i1WnWbSY+YmBg5dOiQ7mNy86Z07dpVgoODRUTHNerre3h4yMSJE5ONY9GiRTJx4kR59uyZrFu3Tho3biyVK1eWIUOGiK2trVSrVk19oUePHi0XL14UMzMzqVKlioBu63HatGkZumY9Dhw4kGgOXr16JQMHDlQ1oT6W7RM9knJGVlZW6vgdHBxS3BbVgwRbRitXrhRjY2O9TCDFNH36dHn+/Ln4+/ureYGBgcna9fX1lVatWomZmZksqVdPR4RA5ubMKT8YG8tMEK/livjE5JImSw6L4f4wma8dLK7RDuLsXkU6XdkgWEULZSKEnNFSuoNOE66kjSKlFp0Xuj0Whj0WOCOY3hI4L/BjJgjS5/KPzGimwGqB3dLF73c5fqOeaM8hM7TjZOfN9YLBifh7tV3OnPHO1rmLjIyU7du3J3vfW7RokalFVFp49OiR/PTTTzJx4kRxcHAQPz8/mT17tjp/Bw4cSLVeo0Y6O62hQ4fKhg0bZPny5dK/f//UiVEOROpkPf0XiFEV4CqwAbgBrEHnfTE4QRlFf4zOSGEH4ApUlMTEqBFwXtIgRiVKlFBVIdP6vXLlipw7d059KNq0aSMnTpyQ06dPp1rv9u3bUrp06RQ/FIMHD5bg4GC5cuWKREdHJ6t/9OhRuXDhQrrjSuk3JiZG8uXLp66Gu3XrJsuXL5ewsLAUy+vHNG7cOHFxcVHlUPrzERERKhG6fv26vH79WlauXJnmOK5evap+BJs2bZro/OnTp9U+hw0bpuY7OztLhw4dMn29vXv3TvWDnJX79z5+z58/L4qiyPz58yUmJkbNTzjWGTNmpNkOIN9//73ExsaqXGq3bt1k9erVAoiZmVmi9oYPHy729vZy6tQp+fLLLwWQ+fPny507d1Js/8CBA3Lp0iWJjY2VlQMHykxFkcUg8y0t5VdTA3n7DdLEba6UinGVQW79xO1VSdm1r4hYdPUVyl0Ry6vPhXJXBIu3QgkXwXZKgvFYCORKYY7sBKYIDBGdMkNqv+0ExsYf/yIU/UtGe0yTtcdLSPg15PjxnDLlxFahnruEh0cKDEl3Xo4dOyaA2Nvby7Zt23TXvXKlAGJlZSV58+YVY2NjdayKokidOnXE398/UTt649V3eT5cXFzkp59+kt69e0tAQIAqE6xXr55KZNzc3GTVqlWyaNEiGTNmjBQsWFCGDBkiQ4YMEUDc3d2Ttbtr167UiZElIo2znv4LxKgGOku42vHHS4HZCYlRfP6bNNpoAhyK/38eaJAaMTI1NZWQkBBp3Lhxmr9169YVa2trMTMzk549e6r2N7Vq1ZJXr15J7dq1xc/PT5WtpJYaNWokDx8+lMKFC4u1tbUUL15crK2tJX/+/AJI1apVxdvbWywtLWXUqFHpjiuzv1WrVpXSpUtLzpw55YsvvpCKFSvK06dPpU6dOtKuXTt1/Dly5FDrXb16Vezs7NTj69evS9GiRTPUn/66k+bXqlVLQLcFqs9PeJ+yen3xdhUCuq3T7L5/Wf1t0KCBgE5O9+bNmxTHq3/OQKcUcv78ebG3t5eQkBD1+QCdpmfjxo3lxIkTyZ6vPHnyiLGxsZiYmMiIESOkZMmS8vLly0T3vW7dutKwYcNk4xwwYIDUrVs3UX6VEiVkEog9yIT7syVXQ90WYPGGhWTE6wmSu15FoaCfYNxQGPxWKNJIKOglUEOUDp7/jK1iA6Gjv2DWSPgiQLBuKHBYwCS+TI54zqeYwKQUfq0EBv1zbFJJWv60QuzqFpUvjq8XijSSfPWeCDjK/v03BEqkOh/BwcHqM96gQQNxdnZWNVUtLCykRYsWUrt2bXny5Ik0aNAg3fn95ptvpFKlSsnyAwMDxcHBQaZPny6lSpWSvn37SpkyZeSLL76QnDlzCvG7AadOnRIg2ft+5MgRKVSoUCI5orm5uVSqVElq1aolbm5ukiNHDvH29k51fBUrVkydGFkh8nnW03+BGBUAvBMcNwQOk8o2XQaIUUt0Pu8zJTPKCIoWLSoVKlSQzz//XH1Y+vfvL66urupxkSJF5MKFCxlq7+jRo4mEzJC++nFGMXfuXFVxYPXq1bJnzx7Zs2ePKjMCZOrUqXL79u1kdfUcjpOTk8TExEhgYKCcOnUq3T61Wq3AP26CkiLhddrZ2QmgKkeQxW2PpNp0HwqASoCsrKxU7b2kMqOE8p5FixYJ8dysPs/GxiaRyn65cuXUrTz9ah2Q8PBwVfkkLU3Bjh07CiDGxsbJzh0+fFjCwsJSrPfiwmj54vhuwaqDjhhd3iC5bvoLG7WC6Svhq2jhSoRYuPuL8VehUs3/tFi21/VVM/y4mP0aIPwYLiyKEhaHSTmPy5Lf475Q60k8sWmQ4HmYLMm36r4SGJ/g+Ech73ZhrFZoohVKacSiRZjATflxjbfAnFTvgVarlVevMidPSgspadNdu3ZNRo0aJefOnZMXL17I69ev5fz58/LgwQNxd3eXyMhIuX37tuTJk0fGjBkjy5Ytk3v37klsbKw8ePBA5s2bJ8uWLVOfDxsbG+nZs2emxxavUZk6Mfoi6+l/nhiJjoBcBBzi/88EFsSnhAoM89OorxKj+OMr6HyNJCNGmZEZpQaNRiNLly5VX6YKFSqo/xNqemUUCdWwgVS1y+Li4jJl56JXZAgLC1MF/O3atRORfwhD37591ZVjUkK4a9cuyZcvnwwdOlTatWuXrjxGq9VKXFycdOrUSV68eJFiGS8vL9m7d2+iD/TixYsFkNOnT2f42vR4F9902YmkHEvlypXF19c3RW06rVYr/fr1kwULFkju3LnVOsuXLxdXV1d1MaDfDtJrULZq1Up69OghPXr0UO/fzp07JSgoKM2xPXjwQB49eiQiolrxV65cWYYOHSqvX79Otd6SJct1Y7NpLlarL0uxiLvCz9Fi8nWYzA4eJeulo4yUH+WAb1PZF9JcbC88kFK+blI08LZYXX0hNA4V6vtLQ6+DMihyruQ47SMUuJWE6PSIv/5vk+T/45sOfoj/vSN8qRFWxAgjY8R28SuhSLhc2j1JPju3/x1nMONIqE3n6ekpEyZMkHnz5mXaQ4tWq5Vhw4bJjBkz5OnTp2p+oUKF5Msvv8zS2NK0M8qNSKesp/SIETrlsofoPOB+n8J5O+AsOnHMLeCLtNp7l/QuxKgK4BY/wD+BPOicVZ1Gp9p9CrBOo35SYtQ+/gVPRozehTNydXVVuQ19unXrlojoDOb8/Pyy3PbXX3+d7IO2Y8eORGX0KuWArFy5Mlkb4eHhKa509fKDhChUqJAAEhcXJ5cvX5Z+/folMlwVEXUvOyAgQP744w9ZunSpjBo1So4dO5aMKOpdBD158kRGjx4tV65ckfbt28vmzem7Z4mLi1OvKyU15bTwsXBGehuVhCkyMjJNOyNbW9tkdR4/fiyff/65WFlZydmzZ1Ui8tNPP0lAQICEhoa+8yr/4MGDYmJikqhfAwMD8fDwkKioKFmzZo2IiDg7O0tgYKD86C7CEa1YPXotX13eJGFbjGXri86yOK6f/BA3Wlr77BQaRYndsXtS3eWc0DhUrJt4CUPCpPbzo2LSJUDI91rAT2B7ClxQOYGJaXBGfwisFTgkNuteSBfNOtkb1UwuhPyzq9AuBc56z5497/ROpobLly+Ll5eX/Pnnn1KvXj3x9fXNUjt79+6Vffv2JcrTarXSqFEj6dSpU5baTJMzskakZ9ZTWsQIMAQ8AXt0GtE3gfJJyvwOfBP/vzwJdsSyO72XRrM7ZZYz0mq1MmLEiEQvbokSJbKV7Rf5R5vOyMgoUV9JDUHd3Nykdu3aKbYxfPhwqVChQrJ8Ly8vlevw8PBQiVBS6ImRVquVBg0ayJ07d0REp7mj16YLDQ2Vc+fOSc+ePaV79+7SsWNHcXFxkdDQUOnRo4d06dJFJkyYICI6ItO+fXupWTO5/QcgGzZskOPHj6t9J7zuGjVqZOi+fUjOSKvViouLizpmvaG0vb29eHh4SP/+/aVTp06p2hklJUSg04zy8/OTgIAA2b59u3Tp0kX1nZfdti0JOaPmzZurY7C2tk5WNkQTJ/vvtJWQdWbS8p6z9Hm2Uta96iHF9t8W28FPZNnBgXJmlLX8aoMcHVRejMaEiNI9QMjpK3BDQG/D1UxgXTyRmSBQSXQKDUkJVEPRyY0QrNcIpc4In/vIg4t2ErNZkdj1SOwWZKH5P/cuIQIDAwWQs2fPZus9ExGZPXu2lClTRnr06CH16tVLdC6jHun17STUpoyLi5OzZ8/K5MmT1QXMsGHD5Pvvv89wm2lyRtaI9M16SocY1QWOJzieBExKUmY1MDFBeZfU2nvX9MEJTUZSRjijqKgo1WW8q6urrF27Vi5fvpxuvXeB3s5o5MiRAui1YgR0FvXvC3p5l57giog8efJESCCLSEtmdPjwYTl48KC61+3u7p6hfpN+hEVEddiaMKVnZ/EhOSP9GPPnz69qaum9IEydOlVWrFghkNxjw40bN2TatGmqED1v3rxqW46OjtKsWTOZO3eu3LlzR9auXSuAeHl5Zfv4E8qM9P3HxMSkWWdw5D45+qKxbHg9WD57/pcYrosUk7WBkveRl5QYdV8q/35FmB4jFHgrOoWFpQKLBNYI9BedfOgHAb0NTweB6SkQo68ECglKDrF2fiJNXu+XVp47xPXzohLeFIn6ColxQtxA+sfLH/Xw8fGRqlWrpnjvswMuLi6yd+9e9Z7Z2dlJ165dVSNwvb1Xejhy5Ig4OzuLyD/y1u3btyeyCxORDNka6ZEmZ2SLyMCsp3SIURdgTYLjvsDyJGUKArcBH+ANUD219t41fVzR6lJB0kiv58+f5+zZs4nynJycOHv2LF27dqV27do4OTlRu3bt9zoufaTXcePGAdCtWzeaN28O6JwqHjt27L30O3/+fACWL1/OyJEjOX78OCVLlkSj0ahhGgIDAzl58mSK9UuVKkWPHj2YMmUKHTp0oGHDhhnqV0TYvHkzQUFB+geVU6dO0adPHzQajRppUx+4LDXoI71+SNy7d48XL17Qo0cPNbhZ586dGTJkCHnz5mXo0KGqo1pFUahatSpBQUHs3LkTLy8vfHx81Jfo9u3bHD16lEmTJuHo6IiTkxMiQvHixbN93AcPHiQ8PBz4J1xCelht9iVvbPuwli9xmdwGzUpTYu5ZoTlnTK0pF9nQoQ9m+UPhtSkoBYGi6JRlfYDi6MQG5ugsNGYCVSHFT8dT4EuQ8QR94YFzn/oca1SV9fYjOJbLii0bYdc6UEyhTW4zmsfXWrlyJUWKFKF06dJcv349UwEdM4rLly+TL18+AgMDcXNzY9WqVezevZsuXboAMGLEiAy1U79+fTZu3EhMTAwGBgaUL1+eHj16YG9vn6ic3gFxRpBWpFcUdDEMs5rAVlEUtwRpcIYHpkNPYIOIFAG+ADYrivJ+6Mb7onLZmZJyRo0aNZJ169alv+R4z0jogUGj0UirVq1ERNTgeTVr1pTo6Oj3stIjCTeSdHWcnjbd7t27pWZNXZiB1q1bJzrn5OQkXbt2TdRX5cqV0xxPyZIlVdXvihUrpln2Y+CMQOcqSs/FADJ27FjRarWqG6GE23n6oIYfGnpXMlnZ5hyxVATHaLFyeCkU1kju075Sx++E4BotOtnQLYH9AisE5sSnzBi+fiWqzMjhmtifdReDJkFSb8Jx8dphLRF1kA09kXWWiFtjOxmdgLPUy9neFxJq03l4eKhb60WLFpWuXbtmSiPWyclJxo8fn64/vIwiTc4oHyKjs55Sa1ckw9t0d4GiCY6fAvlSa/Nd0icRdjwlzuhjgJ4zqlu3LgYGBmoQu7dv3wK6ENmmpqYA+Pr6kj9//mzrW0TUgHo//fQTIsLLly9p2bIld+/excXFhRMnTjB8+HAuXLiQLPR3ly5dqF+/PlFRURQuXFjNv3PnDuvWrWPTpk1q3tixYxkwYACzZ89Go9Hg5+eHlZUV3t7evH79Gj8/PyIiItR5WbBgQZpj13NGmQ2ulx2If6FU6IMfgm6+DAwMcHBwoFGjRly7do2XL1+SN29ejIzez6uiD62RUW5g8+bNgC7UdmaxbBTY5AvjT0svnGr/xCWrijQOOcPlui0hxy0IDwVi0S3HTfkn4F7S2NUCaOPLJRz3U3QhJB7Dw7U8bT8bIi5yr3cHbnVxpHzH+8zrYErPm7XJGWnMwrnPWbJV+Dfg4uJChQoV1CB8t27dYsyYMcyZM4dXr15x8eLFDLXTrVs38uTJw7hx47LtfU6TMzIgeXT37MM1oLSiKCWAv4EeQK8kZZ4DzYENiqKUix+N//sYzCexTaffevrYUKRIERo0aJAsv2LFivz666+J8goUKKBur2QXYmNj+eGHHxARatasSeHChRk8eDARERE4ODhQrVo1Hj58yL59+/Dx8UlWPzg4mNu3b2NiYgLoPtQRERH4+PjQsmVLoqKiALCzs8PR0ZFDhw4RGxuLu7s78+fP5/Dhw6xZs4YbN24kejFbtWqFoiipvmTm5uZ06NAhW+9FVtGzZ088PDzYunUr7du3x8zMjOfPnzNu3DhGjhxJwYIF3xshAt32kYGBAYqi4OzsnIxYJoSiKOzYsQNXV9csvxMze1hzreIGBt78jVqT7+PpVR6swyAyNzrlKtARInPAAkgpuvIrdDbuseiIUlT8f/v4OmWAIIj1glFDad7iDE0vX2aC0SKq//oDyyKWME2ZzM517TI8bq1Wi6OjI9evX8/SdVepUoWWLVuqbVWsWJEzZ84QHR2Nu7s7mzZtYteuXem2s3DhQlatWpWtC0v9NnGqMHyHlAZEJA4Ygc4l231gl4jcVRRllqIo7eOLjQMGKYpyE9gO9Je0HtJ3wftgt7I7ZYed0ftARnzT/fLLL2roBlJQZU0Lepc8+lhOerdFKSkcTJkyRY0DNHPmTDl+/Ljq1+7AgQMyevRomTx5cqI6Z86cSbQ9oRfo79mzR7Zs2SIeHh6qivkff/yhujzRX4deVVzvgknv/kbvBDS16/1Y7Iz00I/VxsZG9u/fn6l4RtkBrVYrf/31lwBSv379ZOejo6PVMTZs2DBNO6OMokEvEfKKmNaJEUzCBDQCLgJbRKeW/bvAYoGFAssFliXYjtOrZ4+RHAyWr8ktdnSVf+yMEGguGM8X6j2UHPOey0/h30i0C7JR01HKBF+REgEeUjnSOVP3aOLEiclMGdLCzp07VZ+KoHNYq5/X3bt3y7x58+Tw4cNStmxZiYqK+mBevdPUpiuEyKysp9Ta/RjTBx9ARtK72Bm9T2TUa7f+ZciZM2em2u/Ro4fUrVtXLl26pOZ16dJFRo0aJR4eHonKRkVFqS/asGHDBHQ+0RRFka+//lr+/PNPAaR3794Z6vvEiRPStm1bMTMzUzX09NpDxGueubi4yLhx4+TQoUMyZcoUadeuXTJZVkr4WOyM9AgICFA9kwcFBWU4ntG7IiQkRNq1a6fajwEyZswY1VuIpaWlTJs2TaKjo2Xp0qUSFRWlatOtXbtWtm7dKkuXLpXixYtL69atUyXwy5Ytk/z58ydbxNg0F8FRK5iGC+a+Am4Cf4pOk66cQG6B2oJSTaCPYO0uFL4kcF4wnCaJA/DNFOgrOt90eluj+QLHBbZKhekH5MuXG6RMoJsYrnkryqgwaRv7/rxoJ/StqNVqE8mMjh8/rtplbd7PnZMpAAAgAElEQVS8WUAXA+1DIU2ZUWFE5mU9/T8xyub0KXNGIjpitGXLlmzrd8eOHWlyWW/fvpVTp07Jt99+K1qtVrp27ZqMSADSq1cviYqKEl9fX3XlqHfeWqpUKXny5InaplarlZCQEJV7So/ohIaGphj5VOTj44z00N+Hzp07Z4gzioiIkPr160uPHj1S9LSdFvSEXe9dIWEqUqSIAPLgwYNk9fR2RgnDeoSHh8vZs2fF3t4+WfmE9nYpqZrzbahg+Vc857MuPunH0kmgqUAxwfAXMe7wTDAuKGZr70jek4+Ez+9IcjsjvQeGpQKzBX4VmClGBr8K/CbkPyiY3BNMfIUZGgkKylwU3szCy8tLtFqt6oHB1dU10Q7BkiVLZNSoUYk83EdERMiGDRukVq1aMnPmzPc6PpF0OKMiiCzMevqUiNH/y4zeAanJjJJi1KhR9OqVVC6YdfTt2zfN81ZWVlStWpU2bdrw/Plzdu/eTY8ePbCwsGDFihXMmzcPAwMDtm3bxjfffEPu3LkZP348Z8+exc/PD0VR2LZtGyVLliQ6OhpbW1sMDAywsrKiVatWifqqWbMmWq022RgsLS0pWLBgiuP7mGRGCaGXAzRs2BADg5RfDW9vb3bt2kVoaCjh4eFcunSJHTt2ULt2bXx9fTPcl4GBAR07dmTr1q3cv38fgP79+wM6xZjOnTvrVotJ0K5dOzQaDZcuXSIuLo6oqChy5MjBt99+y8yZMxPV8fb2xs7OTs374osvkrUXONUAwm4Ab4GX6BQS2gLfAZPROeRfBpqmWEa+Zcykjnxn+Tsm1zSM+2krDXvp+1P4R2YEEAFoAIUcQJxNYSAnvH4IMccgZifM3sPp054ZvmeZhYhQokQJ/P39qVevHm5ubpw5c4Yff/xRLXPjxg00Gg12dnbcvn2bsWPHYmFhwdq1azl9+jQzZsx4b+PTI02ZkV6XJKvpE8InQYySatN9LNBr06WHM2fOZKvtRHR0NNHR0WmW0dsZ2djYMG3aNDQaDeHh4dy7d49NmzYxaNAgYmJiuHDhAubm5ixYsICQkBBEhGnTplG9enXCwsIwMzMjMDAQT09PVVtOURRiY2MREa5evZrpa/vQdkbLly9HURS+/vprBg0axJQpU6hYsSLfffcdixcv5tKlS2i1WjQaDXPmzEFRFBYsWEDbtm3ZuXMnFhYWDBs2DBsbG1asWMGKFSsYO3Ysn3/+OdOmTUuRiCTEjRs3GDlyJPv37wegbNmyhIWFsWrVKnWVuH79eg4dOsSCBQsIDAxU6x48eFAllN7e3piamrJkyRKGDx9Onz59Es1FkSJFmDBhAuXKlQN0tlVJYW1twbhxDdApKuRHpznXGaiNLjDzYahQntKHQqj2uQtFjB7SfNcaOnqtZGGjOtzOr19UmAKB6IgQQF7I0wpyVyYcI/C/jc7zTBgQDSig9eHMmecZn7hMwt3dnVatWmFubs6sWbPYt28fkydPVu/Rpk2b0Gq1LFmyhIULF1KpUiXu3r1LbGwsFy5cwNLS8r2NLSEypE2XdTujTwcfmjXLSPrUZUajRo3KUHvZKafQ2xmFhobKzJkzZcSIESLyjzC8YcOG6nbM/fv3JSAgIFkbrVq1Eisrq2wbkx4fWmYEqC6N9NBqtapbGL3MyMvLS/LkySNxcXFy4sQJ8fHxkf379wvovJx37NhR3rx5I6tWrZI5c+bI5cuX1W1ONze3VPtPGqDvzZs3cujQIdm6davcu3cvUdmnT59Kv379VBdTepnR1atXZc6cOaLVaiUmJkaWL9c5SNV7B8gsLMx3CRwTcBdwjU//BIwj11uxWeslRbfckU2H2knxLW7SqnA/+X5xGzGx+ka3NVdtVQJ50c+CibPAXsHiL0nNNqlmzdVZGm960AeI7N69u3zzzTeye/fuRE6DHzx4IIC0bNlSxo0bJ4MGDZKxY8em6U39fSFNmVFxRNZnPaXW7seYPkk7o48FCe2M0kJGVYMNDAw4cuQIrVu3fuex6Tmj5s2bU7hwYXWbUL/KbtiwIT///DN169ZNtJqOjo6mdu3avHjxgqCgoHceR0r4kHZGAKtXr6ZQoUKJ8hRFwcxMt5Tcvn07V65cQaPRcPbsWQwNDfnss88AuHDhAgYGBtSrV49GjRrxww8/YGRkRLly5Rg/fjzTp0+nd+/e2NraEhens8+JiIjgxIkTvHr1ijp16tCqVSvMzMyoUaMGderUIX/+/DRv3hxTU1NWr15NXFwc+fLlQ1EULCwssLW1Vbmtv/76ixo1alCzZk1CQ0NZsGAB48aNo1+/fowYMYJmzZpx9OhRmjVrlql7EhrWmTyG0wihEJADa54SREnAGXvciYo9SsfxY/GvVJdrPUvTa1V3wj9rys3g6sSEBegaeXIUDMvpdueIgpjTYNUGclvC8xtATXRL/ZfoVMGjePa8ZBZmEM6dO8edO3dS9JwQEBCAn59fIg518eLFFChQADs7OwDVO8aJEyfYsWMHRkZGmfKakJ3IkAeG/wA+CWL0qcuMIiIiiIiISPc6vLy8sm1rwMbGRv2ADhw4UM0vWLBgqttIW7duxc/Pj7t373Lu3Dnq16+fLWNJig8tM7p48WKaBD8kJISyZctSrFgxfvnlF9XQFGDJkiWMGTOGR48e0aRJExYvXszt27cZMWIELVu2ZNq0aaxatQqNRsOzZ8/IkSMHefPmBXTbRtWqVVPbGjZsGF9//XWivlu0aIGIEBQUhKmpKdHR0djY2KjnAwICuHz5Mu3bt6dZs2ZMnz4dExMTxowZA0Djxo2z5AbLwMCADn37snlzOKAQRAHAH2tu4kcYYRGx/BbxHZyzhXPFwWQwPNBC5Dl0X8sYCMlNPCWKh0DIOQipgY4I3QbTNlDkM12xoBDemGdOUqDRaJg3bx5ubm7s37+fp0+fsn//fsaNG8eIESNYvHgxT58+ZebMmYnq1atXL5EM8/r16xQrVowmTZoQHBxMiRIlMnvLsg1pyowM+ORkP1nF/8uM3gEZlRl17tyZgwcPpluuePHi2NraZsfQ0vRNlxIURaFPnz6MHTsWHx+f90aI4MPLjLZs2ZLqKlij0XDz5k369+9PSEgITZo0SXS+YsWKrFy5kkqVKgG6be4KFSpw8uRJfv31V9q3b4+7uzvPnz+nePHiHD9+HIApU6aQO3duQLeqF5FEhMjIyIjY2FhANxc2NjZYWlqqhKhBgwa0atUKGxsbldhcu3aNsLAwlRBVqlSJU6dOkSNHjizdl02bymJDFE1YCeRAR5TsCKM6UCs+5QOCIeYaRJ4EgoCY+BaeAgkNuw3AoilY5AWDPEBZiC4Ens/h1VUIuUast0eGx7dy5UqGDBlC48aNVQPyOnXqsHXrVkaOHImIMHbsWEaMGJFMecbFxYXnz/+RTymKwqxZs9i4cSPPnj3L3I3KZqTLGRm9Q/qE8EkQo0+dM2rRogXLli17Lw4gU0NCzigzaN68ebZal6eED80Z5cmTh7t373L37t1E+eHh4XTo0IGBAwdiYGBAp06dGDBgAKAjOnFxcfzxxx9cuXIFb29vRIRChQrRtm1bcuXKRalSpVi1ahUmJiYULVqU1atX06dPH0Dnvkf/gZw9e3Yy7vTx48dpbueOGjWKVatWceLECZWIWVpa0qRJE9W7xs2bN5k6deo73Ztjp3ITignf0p7auABF4pMJuq21GHQE6C06wiNAKcCEcgRikPALaFIZptlDWzuo3x+j1lUpO/s0PQ4dJ9eQEhhVqwN5039/9GjYsCGHDx/m9OnTGBgY8P3331O9enXVU4iBgQExMTEsXbqUmJiYRHXr1auHnZ0d27Zt49atW2zdupXy5cvTvXv3ZAuOfxv/r02nwydBOz92zig9mRHAyZMnadeuHVqtNlW14exEQplRRlC9enXc3d05derUex7Zh5cZrV27loULF3L69Gk6dOhAoUKFMDEx4dWrVyxdupRRo0bx448/EhERoc5XREQEgYGBWFhYULBgQVU7y9PTkw0bNvDy5UucnZ0Tze3gwYMZM2YMkZGRBAcHY2hoSGxsLMbGxhgYGLBo0SJu3rxJrVq1KFeuHIsXL2blypV4eXlRpEiRRGPu1q0boPsg9+jRA4By5coxefJkfvvtNzQaDTExMezdu5dZs2Zl+d7UaO5IuFFRHsQ15Ir1zxAeC9HR6IhQJKomHCWAXEAAmJmAhTmeQWZoMUO3xtVCzA2YpIVuVTEu9DfaE/d5cHQgnX7+HG+bMdxzKoNLzQbAbxkaW4UKFfDw8OD333/n2LFjHDt2jNKlS+Pk5ERQUBDW1tZoNBo6duzIiRMnEj1fLi4uFChQgN69e7Nw4UJ++eUXNmzYwPTp07N8r7ILGeKM/gNQUpMffEwoX768pKSW+qHh4+PDixcvMkSMQOeHbM+ePfzyyy/veWQQFBTEjRs3MkyM9FxbVFSU6tz1fSEyMpLTp09/MGKkR0REBI6OjnTv3p0HDx5QvHhxoqOjefPmDWvWrElTfrdq1SqKFCmS7jWICC4uLjRo0ABHR0eGDRuGhYUFrVu35vHjx9SoUYMtW7awfPlyzM3NcXBwYP369aly0UeOHKFx48ZZ3orLCN48e8ai4sW5W6AbJiF+nDWegV+tuuRt4YPxqxjIGYlcCSLM2o6wUnmpZr4b0262uFZ3RkLMoUBt8L2ha6xAR/D1RKc6/gKTEZ1wqOHJjGo/UHLHeW4viaFveMa/QXFxcRQsWJAJEyYwfvx4NV9EMDAw4MCBA/Tq1YsVK1bQr18/Nm/ezOHDhwkODub48eOcPXuWUqVK0apVK+7evYuPj08iR8EfArdu3aJy5cruIlIj6bkaZRVxW5v1tpUGpNjux4gs01xFUcyAC+iYQSNgj4jMiPcAuwNdCHJ3oK+IxCiKYglsQ+fWt4+IvFQUpT+wDqgiIrfi270DtBURb31f/wucEej2tz08PJg4cSLVq1enS5cu741LyihnFBMTo64OFyxY8N4JEXx4zgh0zjLnzZvHmTNnsLS0VB3E1qhRg759+2Jubp5qXRHh/PnzalyptKAoCnXr1uXp06dcuXKFChUqUKFCBeAfI1tFUWjatCnjx4/nhx9+SLGdy5cvc/36dc6cOUONGjXeKzHKU6wYB8rsJSDEGqeIpuxkNpycT+6Tb6jOCTyVilyToei27a7hbt4G/gBC/gBKgm+Clb7GFKwdoVheuPGYmD9zYpY3mnyGz7BYGMPTtM3lkuHt27eUL18+kSII/LOYat++vRpXTJ+nf8dKly5N06ZNKV26NK1bt2b9+vUfnBDBB/Xa/VHhXRjAaKCZiIQpimIMOCuKchQYCywWkR2KoqwCBgArgT7oQtg+B0YB38e34wNMAbqn1tGnLjNKiKFDh6LRaDh27BhfffVVIk2t7ERGZEZPnz6lQoUKHD58mJ9//vm9jCMlfGiZ0fnz5/nrr7/o0aNHIi0qfXiBbt26pblIUBQFe3t77Ozs2LJlC7ly5aJFixaqargeDx8+5Pz589SsWZOqVaumqrGll0vdv3+fypUrp8gVOTg4MG/ePP78808GDhzIZ599hqFhOm6Z3wGnj9ZifMnu/MQMLNmFGcY8JjeP6QqiBc5gSARggibyGnhr0Ck4CDpP3vGICcCkZRkajLvE9Z7BlJlwl6c1m3LZuhHfdH/E6H0QERiIRQKNwdTg7OxMw4YNefbsGYMGDUq00NJoNNSpUwdnZ2fevHmjajCCbuHRpk0bDAwMuH379r+y4MoM0pUZ/Ue26bK8LI+31wqLPzSOTwI0A/bE528EOsb/N0T3lOoDoehxCHBUFMUhtb4+ds4oszA0NKRNmzZYWFhw8uRJDh06lCnNt4wgPW26L774gpIlS+Lh4ZGhaKHZiQ+pTRceHs7+/ftZuHAhtWrVSrHMrl27UnRxlBBz5swhLi6OqlWrkjt3boYNG4aXl5d6/uTJkxw8eJAWLVqwZs0apkyZwu+//87ly5eJjIwE4PXr18ybN0+1/dq0aZPqEigp8uTJQ/fu3WnatCmtW7dOtEX1PmBrX4RNZhfQmAwkDBsgFN3rrSEfr8hJIBos0WCCzmvDTnSvcjiQD4zr6dqp54tF0QjObG9CsFUbrt7pR4BrIXYV7s6jlQ7sDYMry5dnaEwNGjQgb968dO3alRMnTvD555+r5wwNDXF1dcXQ0DCRKvzatWsJDAykefPmTJgw4aMjRJABmdF/RIHhnfaIFEUxVBTFA/ADTqLz9xEsujgZoON69HzwVnQc0XJgWYJmtMB8dI6wUoSxsbFqt/Ex/QLUrVs3y/XHjh3LzJkzOXLkCK6urkyePDnbxmdhYUHOnDmZNWsWuXLlYsKECdy9e1c9f/ToUU6ePEnJkiX/9fvm7+9P27ZtP8i8nTt3jipVqqDValMt17RpU0Qk3fZ8fHxwcHCgaNGiqvLBpEmTmDlzJh4eHpQrV45ixYoxYcIEZs2aha2tLX5+fowcOZKJEyfSq1cv/vjjD2xtbVEUhbJly2Jqappqf3Xr1uXbb7/l3r17TJw4kcWLF7N582a8vLzey/36/ZgP/FAAA0II0qt0oxBDOGGYoAuD8wSd0VAroBAohwAviA0Hggm69ZwoV39wj2H6qEHk7/AEKzsPFu4fT4zDQ54Dj7dtS3UcV69e5ZtvviE8PBxFUXBwcKBy5crkzp2b0NDQFOs9f/6c4cOHA/DVV18RGhpK7dq1MTAw+Ci+G0l/kwa+TPyR5T9DjLLFjQOQGzgLNACeJMgvCtxJo15/dMTJCHiITkXnDlA8YTljY2N5+/atVKxY8aP6LVmypMyaNeud2pkzZ47kypVLJk+eLNbW1uLl5ZWldmbMmCGAfPbZZwKoMZT08VxsbW0FkBw5coi9vb0sXrxYHBwcPsh9K1eunPTr1++DzNvq1avF3t4+zXK5cuWSoKCgLPdTpkwZ+euvvzJc3tTUVM6fPy/29vby7NmzNMs7OTlJuXLl5M6dO6qrnvz587+3+2X+wEsM7B3E5PvrYkUOKc0QUcgnChME8gv8IViWlXG/DRBjS0up3byLQD6BSfG/c0QxLSOVNh4Uw/xlxb63szjkQXx+RYoryCmQEgZKqv37+vqKgYGBAFKwYEF5+/atODg4qNee0euYO3duuvP+oX7t7e1TdwdUEZHnWU+ptfsxpuxrCKYD44EAwCg+L1GM9dSIUfz/wcCqlIjRp+6bLj2cPXtWjIyMpE6dOtK0adNM+cfShz0A5M6dOyIiEhcXJ99//73qQy0htFqtFCtWTMLCwsTIyOidx54V/Bu+6dzd3aVfv35y//596dixo3h7e8vs2bNl48aN6db9t+IZ6XHq1Clp3LixAPLq1as0y+p904WHh0vv3r0lLi5OmjVrps59VrB9+/ZUg9Z13R8rzIkVNmuFvbFi3Mdf8ubZILA+3nfdCoH9AvvFtNzPYtTntMA8wfaYwGaB1ZJv7F051K+YLLMrIjZDvGS5by+5MqiwhNohvxkgMzMQdBKQp0+fqsf6mE8ZRcJ4Rh8b0vRNVxkRv6ynT4kYZXmbTlGUvIqi5I7/bw58hi507VmgS3yxr4CMCgc2AC2AvElP/K/JjJJC74+sWrVqdO/enRw5cvD27dsM1S1QoIC6reTo6Ajo9s+dnJyYOHEiXbp0SVReURSePXvGxYsXcXR0JDw8nLi4OEJCQt75OjKKf0NmVLx4cZo2bYq3tzft2rVj06ZN9O3bl379+qVbNyMyo+xE8+bNCQgIoHnz5ul6/T548CDh4eFYWFjg4OCAkZERf/75J7t27WLAgAG8ffuWhw8fMnbsWPz9/dPtu0yZMvTs2TPVPnd1NIImRpA3EnJGk2NEKJ95vmH7803sm7aC1t8EUKRTXmoNE4rkcKVL1T1QuREUDaFSa2+scKOAwyPKRP1NmSW2SF9Dyl++Q4mzfxMWDsW0usAT6UFEVAWQw4cPc/z48RR9J0ZHRyczeIXkHhg+JqQlMxIF4kyznj4lvIvMqCBwVlGUW8A14KSIHAImAmMVRXmCTr07Q1ryIhID/IrO30gi/C9p06WEbdu2sWnTJi5evMjQoUPx9vYmd+7caX6U9KhZs6a6P54QaWnT3b59m9atW1OmTBkePXpEdHQ0uXLleufryCj+DW06a2tr+vfvj62tLY8ePWLq1Kmqtlx6SE+b7n3gwIEDtGzZkgEDBqRph9auXTtVrXvatGkMHToUKysrSpQowfTp0/nll19wcnJi8eLFzJo1K9VFjYgQExPD48eP8ff3x9jYONU+zQ8AZ80hwBSjgkLuXOFsihnMZScnan/mzvrgBpyL6oRjnmME3T3MZ03uwb1nxGFOCIUJvBPO/UEVsC/xN7l8gwj0KkDwawiKBFNjqJpJpcC2bdty/vx58uTJk+ycmZkZT58+TZav98DwMSI9bTqNUdbTp4R30aa7JSJVRaSSiFQQkVnx+U9FpJaIlBKRriKSqiWBiGwQkREJjn8VEUUS2BjB/z5npCgKffv2ZfDgwQCcPn2aqlWrqgLXtHDt2rVk1vqQtjZdhQoVaNmyJbt376Z8+fJYWlr+q6vGf1Obbt++fcydOzdTrpj+bc4IwN7enqioKEqXLs3Lly9VFz9JoeeM9NAHips4cSLFihVj8ODBGBgY8OWXX+Lo6Ej79u2pUqUKn3/+OWZmZnTr1g1FUejdu7eqWebq6prm2M6NB+pB/obPGWOwBIMnIRQYupqnW6KwrZSDX+oPYEmdGhw4GU3bWnkJLlUALHJx75TOf9/fe0JwUZoT42NI6cd3OefYDJs/DMjXAhqsh/zHrDJ0jyIjI9V59PHxSVGjUKvVUrZs2WT5nypnpDVQiDY1yXL6lPBJ0M7/dc5Ij4EDB7Jnzx4GDBjA7t27OXbsGEZGRmg0mlRX6lZWVil6aU7PzkjvwFMPJyenbFcvTw3/lp1Rs2bN6NWrV6a5nH+bMzpw4ADXrl1j9OjRNGnShAMHDjBixAhWrlyZzOFnQs4IdPN848YNqlatypgxY1i6dCmXLl3izZs3XLx4kZkzZ6aquh8VFcX+/fv5888/adeuXarjq2UDhGjIRSD+trZ03v0rOQYa8vx5AJF9/+brctb0mO2JWR5LFgTOw940CN4KmPjr7GKDo2jx+Dx5It5Sp+c1fHIUZqL5Aup3vkCd6+78WasDnQikDDaICCtWrKBp06bqtjPoiIneee+VK1f4448/UuR0Ult0JPXa/TEhTc4I0LxHe7KPCZ+Eo9Ts4IzCwsLU+DLZhezijPQwMzPj3LlzbNq0iYCAANasWcP58+fp2LFjqnWsrFJeVabEGWk0GiZOnIiiKCiKwpdffsnIkSO5d+8eJ06cyLbrSA//BmcUERGBoaFhovAZGcW/yRndvn2bDh068OOPP2Jra0vLli2Jjo5m8+bN1KiR3ItLUs4IoEqVKogIS5YsQUSoV68ebdq0YebMmTx69IgtW7ak2Pe+ffvYt28f69atUz/it27dSnF7uEq9QF6G2XHeuDEzeq1nT8cBhLUtzYgm9+jhcY9cFW+R07EpgTNbYK5cxKhiCXLU9yVnG3uIDGEDnVnVZwCV79xl55neeBrbY/TSgPVVv+K0thmLXoWqfXl4eFChQgX1OVUUhfr16zN06FBEhOvXr+Pl5ZUpDx6fLGeEAdGYZDl9UvjQGhQZSdmhTbdp0yY5evSo9OrVS+Li4t65PZHs06ZLD7/88os8fvw4xXOAeHp6Jsv38/OTn3/+WebMmSNDhw6VBw8eyNy5cwUQS0tL+eKLL6Rnz57SoEEDMTMzE0BOnDghIjrtHj8/v/d2Pf+GNt3kyZPFy8srS3X/TW26/Pnzy/79+9Xj2NhYadu2rRqRNyn02nQZhaenp0yaNCnNMp999pksX75c3r59K4CEhoYmK/NWEyt5fb2EyxrhaJTwS6zQO05Y4i254jUBATHNV0wsTI2l8oDtgvEKwfqYwEwx7XZSBrycJ2N8pkqOMQ+l99tl0i5mi5QKvio59x6Rwus2qG0UKlRI/V+uXDn5+++/E41Fo9HI9OnTM3wPRD5dbbqK1Y3kmeTLckqtXX1CZyD2EJ3B2PeplOkG3APuAtvSau9d0n+GM+rbty8tWrRg2rRpNGzYkGPHjr1zm9nNGaWG27dv4+Pjw+bNm5ON29nZmSNHjiSrs2PHDlxdXRk5ciRWVlaEhIQwadIkRHSB2w4fPsy2bdu4ePEiY8aMoVChQrRs2RJ7e3vWr1/P33//jb+/f7oyq6zg3+CMfH19GTlyZJbq/pucka+vbyLO18jICFtbW54/f85vv/3GTz/9lKh8SpxRajh58iQdO3ZMFmguKY4fP46JiQkLFiwASLF9KwMjZtz9Ebsbj+G8ETkcAzCaEAqr+/H2YVl6XfkVq6pfEc1WIqJjubm2J8T6QtBlAKJ3eeJ2vgrO/k0J3+nP1vXdifE0oYvpVkI7f8HfTv3x9fWlU6dOvHz5krCwMESEe/fuJYvKa2BgkKoPv9TwqXJGgoIGwyyntKAoiiGwAmgNlAd6KopSPkmZ0sAkoL6IOAJj3vFyU8UnQYyyS2ZkZGRE2bJlmTJlCq1bt86Q6mtayG6ZUWoYM2YMv//+O1WrVlWDuulRv3591SOxHv7+/pw6dYrBgwdjZGTE/PnzqVmzpno+qebU8OHDGTZsGEuWLGHw4MHkzp2bqlWrMmzYMNq1a0fRokWzlSj9GzKjFStWcP78+SzV/RDadAlRrVo1/Pz8+OabbyhatCibNm1SzyWVGaWGqKgotmzZws2bNzExSXu7RlEUBg0axOzZswFS1EYD+PXWSp7fLo0hkfSJWEPuNsVRTBtBzEK21a5KyI0G4OeNzh8ywOwEtcMJDrLB+1Jxctj7w70Yjrt24ueFCwEjyOOHr68vly9fTnMMekgGNE0T4lPVphOU97lNVwudk4KnotNm3gEkfTEHAVyhSFkAACAASURBVCtE5A2AiPil16iiKF0VRckZ/3+qoij7FEWpll69T4IYZbc2XatWrXj9+nUiZ4pZwb/FGVWpUoVFixaxbt06tmzZwsuXLxOdHzduHN999x1GRkYoikLp0qVp2LAhFy5coE+fPrRo0SLN9ocPH87UqVMpVKgQZcuWVVfS/v7+hIWFYWlpydGjR1EUhWHDhr3z9fwbnJGZmRmjR4/OUt0PoU2XEP369WPq1Kncv3+fPn364OrqSmioTqaSEc7o3r17DB48mKFDh2Y6oGOhQoXYt29fiucuj4Kcc/0oPfIi2+ZsJ6DgJcSjH5h5A4HAXuABGEZStP2eBDUFCCVgnwd5m76mcoc7cNQVnIzg3Gowc4Q3y9Qw68WLF6dixYqpjjEuLo4WLVqgKEqKNkUp4VPmjGIwzXJKB4WBFwmOE7pv06MMUEZRlEuKovwfe+cdHkXx//HX3F16bwRI6CF0UHqTBKT3JqAURbrYQIqAgCACCoiCgiAKhM4XEZAuvUV678UECKGkQnq5+f2xuSMhl1wuCSHhl9fz7LO53ZnZuU2ys++ZT/lXCNE6C19popTymRCiMYrv6O8owbIz5f+lNZ1arc48HlQWyStlBIpz6w8//EBoaCg//fQT5ubmtG7dmtq1a2NlZcXFixfTlNflM4qJiWHx4sWZtr169WoOHTpEgwYNcHR0JDk5GSEEhw8fpkmTJoDyJhocHJzGH0mr1RIfH59pugVD5IUyklJy+/ZtRo4cyZAhQ6hQIcM4vICSabVDhw4UKVKEkiVLvlJl5ODgwO7du5k4cSIzZsxgypQp+Pr6cvr06QyVkZRK3qR9+/YRGBjIDz/8kK0U9rt27aJjx476KbvUOKnMWD/fm74rivHM7hjciwGi4EEgUBw83sOhSVEi18Ryb8ttwBOKq+DBJKAz0Rcb8fh8ca5u6QX3tlGu5UFu7/bh3NfWvPH1auLiehISEmK0j/fu3aNjx474+voSGBhI+fLljdYpqNZ0umm6HOAqhDiV6vNiKWXmD4S0aIDygC9Kyt9DQohqUsqITOroplHapVxvmxBiWlYulO/J735GWc1nlBu4uLgwdepUwsPD2bFjB+vXr8fBwYHw8HA0Gg1vvfUW7dq1IzQ0lN27dzN//nxiYmKIiIhAq9Vy9+5d/v333zQprm1sbGjTpo3+s+5BrBuIQJnKKVq0aJq+/Prrr9y5c8fkZIG5mc8oPj5enzk1NdevX2fr1q307duXihUr8vPPPxt0DtbxySef4OfnR926dfH09CQxMdHo9NbLRKPRkJiYyM2bNylfvrzerPnvv/9Ol89ISsmCBQuws7Nj5MiROcp1VLVq1TTRx3VotVq6dOnC0btlcJv8HQ5xd2gdvYlV2/oSsbch1IjDyXsB4TZDMP+rEsXuexL4yciUgag6sBuV4xDiAwUzR0xnUYWOTGo5l/5Hvak33wrMfuHNN6sSFBSUbo3oRd5++21mzpzJqFGjGD8+w/jKaTh27Bh16tTJl1N1xpRRfM4inobIjJPrBaHED9XhmXIsNfeB41LKROA/IcQNlMHpZCbXDBJCLEKJyvOdEMKCrMzCvSzLiNzcXvfYdDnl6dOneuuvZcuWyd9++02GhITIPXv2yKSkpDSWYR4eHrJXr165du3s/G5y05pu+/bt8tChQ+mOly5dWoaHh+uv92KMPh3Jycly6dKl8sCBA/pjixcvNtla62Vw/vx56eLiIlevXi0Beffu3TTWdFFRUXLy5Mly7NixcsOGDblmAdinTx+5cePGNMfu3r0rx44dKx/6b5cneyPfCt0mg7fYye/ihsr2N1dI9YIIaTNvreSzW5KSgRJ2SPhRwiQJX0soLuFr6fDlIdn/6Uzp8MZKCf4STkpAWn4fLouOviw/+eQTo/2bPXu2BGSfPn3krVu3svS9C6o1XYVa1vKgrJvtLaN2pbLmpgHuoASoNgfOA1VeKNMaWJ7ysyvKtJ5LRm2mlLMGugLlUz4XA1pmVkf+f7Kmexnk1ZqRMezs7PRrA++//z7e3t5MnDiR8ePH07NnT8qWfR79a/HixQwdOjTXrn3o0CGT6+TmmlGbNm1466230h1v3LgxTk5OhIaGYmVllS5GHyhZQdVqNTdv3sTHx0d//J9//snyG3dgYCBCCHbs2JH9L5EB1atXJyQkhMTERNq2bYu/vz9//vkn8+bNY/To0UybNo0hQ4Ywc+ZMunXrZvL6UEYsW7aMRYsWpTnm4uKCra0t7vXbUKkUzF/zMRpVPElRGkS44KfWw7D6ewecCYS7F8FxOXTowPMX4kTgMtFHNuDXzYWoWAHlH8NIZfo0brOGh3vKMX/+fIwxcOBA1Go1K1euxMvLy6iSgoK9ZvSyrOmkkurnY5RcIFeB9VLKy0KIqUKIjinFdgGhQogrKHFHR0spQ418pUVSyo1Sypsp1wkG+hq7DwViMPr/EoEht2jSpAnTpk3j22+/pV27dgQEBFC7dm2Cg4Np165dltpYvXo1xYsX5/Dhw5ku5mdnXSIv1ox0ccsMWWVJKbG1tWXYsGEkJSXx7bffpjnfo0ePLE/R6aZ9pk6dmsMeP2fr1q1cvnxZ/7lfv340atSI+fPnc/ToUTp37sx3333HjBkzKFasGAEBASQmJnL8+HE0Gk2WTb8zQq1WU7NmzTTthIWFYWtrC8D5UTXxf68eH1b7Hc0/wXyw9Fu2azti71iD0uZPqN31JLbFj+HxZRio3VHybn4E/I+kY9dQn1pE8vXe9Kz9Jar5zsoFzsVh9iB94FNDODg40LBhQ3788UccHBwICwvj3XffzbROwbams8j2Zgwp5XYppbeUspyU8tuUY5OklFtSfpZSypFSyspSympSyrVZ+EpVUn9IMSGvZaxSgRiMCpWR6YSGhrJnzx769+9PcnIyWq2WChUq0LRpU+rXr2+wTmJiIhUqVKB///789ddfBAcH06RJE3r27MmWLVuIjo5Gq9USGxvLgwcPuHHjBtevXze5b3lhTffTTz9RoUIF6tatm84svWXLlsydO5c2bdoYTN2d2ppu6dKldOnSJcPrCCGQUhqN72YK5ubmeus5HRcvXqR69er4+vry6NEj/vjjDyZPnsz48eMZMWIE/v7+1KtXj6SkpBytGekYPnx4Gl8ePz8/fH19AVCNtKVUl3X8fro/5W1us8R+KjZzQ7h77g4BAXac2ghRogfW/8aCKIOSCbYcACXbO/DXMXPqDWjNpr/uoE1MguoD8ey+gvnve/PGG29k2q+4uDiEEOzdu5fvvvuOyMhIpJSsXbs2U3PvQmX08hFCjBNCPAOqCyGepmzPUJKvGv2HLxCDUaEyMp3UselUKhUffvghz549o2fPnmkspQICAvT/xN27d6d37978/PPPfPrpp4CycL1s2TLWrFnDzJkz8fLywtraGg8PDypUqEDlypXTX9wIeaGMhBBcu3YNSO9XtWvXLgYNGpRh3dR+Rv3792fTpk0vr6MGaNmyZboXhjVr1tC+fXvCwsK4desWDRo0YOLEiUyfPh0pZeapq7OBh4cHJ06cID4+Hq1Wi7+/v16tvfnLDi4fkizomsT59y9Sve05NsX1QdXbB2KiQPMGxPXh5sHqkHQRxbRb8R9KUNdhs1U7jl9eTHzcG6B2gAtLuL98JBsrdGXbzrOZ9ktnuWlmZqafejUzMzOqZAu2MioY4YCklDOklHbALCmlfcpmJ6V0kVKOM1a/QAxGhcrIdF6MTffRRx+xdu1ahg4dyqJFi7C0tKRChQqUKVMGlUqln6sfP348NjY2nDlzBlCmtGxsbFizZg3ffPMNd+7cQUqpn8LRarUmPwjzMmq3bnE0td9KRmbbUVFRCCGYPn16mqnJnj176vNA6YiIyMyy9eXQpk0bXFxc6NixI1WqVEGj0SClxNPTM9vRJjKjXbt2TJ8+nQEDBlC0aFH69OnDhQsXsLC2JjpFhIjwZKx8vmXlNifeXdEXtyrx9F99kfqT7sHuo1C/H1AKrJVUFg+3bKOsvMmc3ZOh4keoLFzxKG6F05u72P3H7+yIyXgWqH379jg5OelfnkaPHk2pUqUYOHAgCQkJ9OzZM8O6BVUZaVG9TD+jXEUIoQuX/j8hRM0XN2P1C8RgVKiMTOfFqN0qlYqePXty7tw57t+/T3x8PDdu3GDPnj0AzJkzh1WrVulNvj/77DPFwiXVg3vevHn6wJU2NjZ07dqVixcvMmTIEObNm5flvuVV1G4d/v7+XLp0yWCgXCEEsbGxAPqUCmfPpn07X7t2LVeuXKF06dIIIejcubM+WkFe86Kf0cqVKzN9COeEUaNG4ejoSOfOnbl+/Tr79+9n8uTJAGw7c4wbf/9K408dcQeKW0GZahq+1A6j0spl/LfKEosmnqxr6kvpupYQk+LXl3yFL+tP5PvdY3AsbY928A7KH1nJ+CFr2D7/LS4/yNjBv2PHjmn8kKZNm0ZgYCDz5s0jICAg3e8tNQVVGQEFZpoOGJmyn2NgM+r/USAGo0JlZDoZ5TOqUaMGUkri4uJYtGgRjRo1YuvWrfTu3Vu/QG2IgIAAPvvsMxITE0lKSqJv376MGzeOqlWr8u+///LZZ58xcOBApJRGQwflpTICqF+/PitXrqRcuXKcOnUq3XmdyjMzM2Pr1q2AYiW3ZcsWNBoNBw4coFKlSoCitDZt2sScOXNeap/nzp1r8HjqCAwJCQlcuHDBoDVhbiCEYMSIEXTq1IlRo0ahVqspUUJxS6nysBz/O/cu97yr8wjY+x/s3RSF7b/RtK8cydL+X+HyqeBe7YpYauIBJxSDqifwpBWPPn5GnHtNZhT9lEXLPuTdlcu4srQ05XbuN9iXd999lyFDhqSJuODv78/SpUupVasW1apV49atWxl+l4KsjF6mAUNuIqUcnLJvamBrZqx+gRiMCpWR6RjLZ2RhYcHgwYOxtLSkcePGbNmyJdP2HBwcePDgARqNBrVajZ+fX5oUB0+ePKFEiRL66SN7e3tGjhxJfHz63Ip5rYwAevfuze3bt9m3bx+//64kH5ZSsnv3bvbv38+0adN4+PAharWa2rVrM336dDw8PDh9+jSLFy9GCEHt2rVzPQ1JRrzoYKwjtTJatmwZffr0yZP+NG/eXJ+JGOCPt+25X9mThI+fm/aXBZzqg12NRDbadsLT7i7HF25CHfIn8ATs3wKqQqdluPb4EevwZfxw9TMWdfyU8IdQ+dBamtS4ku7aw4cPJzQ0lBYtWmBlZcXhw4cBZTD64IMPmDBhAjY2NplGbyioykgJB2Se7e1VIYRoKIR4TwjRT7cZq5Png5EQorUQ4roQ4pYQ4suUY1WEEP5CiOVCiHR9KlRGppNZpldDXLp0KdPzTk5OmYZTcXV1ZfLkyVy5ojxMAgMDadCgAZaWluneWPNaGenQaDSMGTOGokWLMmbMGL744gtOnDhBxYoVKVeuHMuWLcPCwoLSpUuzaNEiatWqRY0aNVixYgUAp06dwszMDCEEt2/ffil97NWrFxcuXMjQVFmnjC5dukRoaKjRKZ7cwtramvHjx+sNVoS5JduqtqP0pEb03V2UD1sJLAbZED21El+VmMqm8O54V77Gw/LVuUwzYAe8FQ1o4OB87Ad9Tq0iKxn61Qac637Dn7dgdwDc7VCU6DjlmlJKxo4dy/Xr19m0aRPh4eEA+kyuukG5S5cuBAcH4+LikmH/C6oyKkjWdDqEECtQpuUaA3VStoyiQOjJ03BAqUKWt0AJM3FSCLEFZa6xI9ALaAmkyZNQqIxMx5gySs369etz9dq6BeZ33nkHPz8/Jk2axOrVq/XnX4UySk27du3S+VulNnAIDQ1Ns1amVqv132nbtm20b9+eQYMGsW/fvlzv27Vr11i1alW66Ow6OnToQHBwMCtXruS7777L9eubwocVG4OMBYpDRR+Iu8LiDyqAmRaKSVb2c4Tqn2PnuZtnQe3h1A7AFqLP8JPqI+YGBRJt446tB1jeg+AmKjp9s4v3y4fTzm4/x44do1OnTnz33XdIKTl16hRPnjwx6tuWmJiYzoKyIMemy+vptlygNlBZZmZrb4C8VkYZhSxXo9h/aoF0buSFysh0sqqMzp49y+DBg9MFWs0t+vTpQ3BwMA8fPtQfe1XKKKtkFrW7Xbt2HDx4MEPrtfj4eJo1a0avXr30xh5vvvmmQR+YxMREvLy8ePjwoT7iwb///ounp6fBtqWUzJkzBz8/P2bMmPFKg7kCVK7sAliAqjzc3A83N/PGtO14zX0Mlhowd4O421jGXsJMewYe7QauQHwAHXoW5b5ZCTh7htLu0NILfi6ppcyZ1uzb3pVu3brpc4+Bsn7VunVrfv3113T9iI6O1pvxt2nThmHDhqUrU6iM8pRLgOF55kzI67/mjEKW/wRsAxoA6fJfW1paIqXk6dOn+Wrv4OBAo0aNXnk/DO2dnZ1p2LBhpuVOnjxJzZo1WbJkCVWqVHkp/QAoVqwYfn5++uOJiYl07NgxX9wnQ/v27dsjhMjwvI+PD1WrVjV4XrcG9cYbbxAWFoZWq6VFixaoVCoiIiLSlD927Bj169dnxYoVDB06lMjISCwsLHj//ffTtZuUlMTo0aNp3ry53pjgVd+nX5e1Bo/3QWsGbRtD0aqc6xXJrdb3YPtjSLTA2rE+DT+sRVK8P4pj/iTgHbiylcCtt9nSfydWTeDPW/D1w1I8uHaVSI01O3fu1DsU667XuXNnJk6cyJo1axBCUKJECZo2bYqtrS1//PEHkZGR7Ny5k0OHDqXrb4MGDfRm4a/6vr249/LyyvCBWZD8jFLhClwRQuwSQmzRbUZrSZl3AU+B7sCSVJ/7Aj8bq6dWq2V4eLj09PTMV3s3Nzc5ZcqUV96PF/dFihSRpUqVknZ2dpmWs7CwkFu3bjWpXUAKIWTXrl2zVG/EiBESkA0aNJA2Njaybdu2snjx4rJfv36v/D5ltLeyspIhISEGzz98+FACcvr06QbPt2nTRgIG66X+fP78eWltbS0fPXqkT7ENyNDQUIPtjho1Srq7u8v+/fvLYsWK5Yv75OnpKXk7WIK7hH8kWEgYJMFBwi8Si+JS0+GYVFs7S/hegpWEThLsZdXWXSQgv6+BLGqH/MlLJa2LOUhAWhd3NHg9QIaFhSn1vv9eOjs7y7Zt20pnZ2cZFham9AekjY2N/n7OmDFDurm5ycmTJ0tHR8Ptvuq9u7t7hgFNi9UqKifK8dneMmr3JT/nfQxtxuqJlMp5ghCiAfC1lLJVyudxoHjuZlavcuXKUrcwnp+4f/8+9+7dy9MUElkhKCiIqVOn0qNHD95++22DZbRaLT4+PnrLpKwgpSQmJoanT58yc+ZM5s2bx/bt29Okn4iOjiYkJAQpJR9//DHbtm3LsD2tVptrwT1zkw0bNmQYeDQyMhJHR0cM/d/s2bOHFi1aMHbsWGbOnJnpNTZt2kStWrWIjY1l5cqVfPPNN3Tt2pU///wzTbnExET69+9Pv379aNmyJdu3b8fHxydXQv7kBkJ1FqQdEAgWD8G6CBTzhitPcB1uSejGEGTwDZTMBFOBhkBtanR3JyZ4AUXs47j8qARN53/Gefs3uFPtTbr+0Zy5/RdRkucBfocPH86CBQuIj4+ncuXKWFtb66eWN2/ezMWLF+ncuTMdOnRgxYoV3Lt3j3fffZeOHTvSsGFDnjx5wpw5c/j6669RqVQMGzbM4NpTUlISUVFRODo65sXtA+DChQvUqFHjtDSQ6qFY7eLyw1MDs932dPGNwXbzI3k9TXcSKC+EKCOEMEcxWDAq3wrXjEzDw8ODUaNGZbpmFBcXx5EjR/jwww8Nnk/1lgMoERxUKhW2trZIKfnpp58IDw+nbdu27Nmzh2vXriGEwNbWltKlS1OmTBl8fHzSPNADAwORUurXj1QqFdWrV2f06NEsXbpUP633qslszcjBwYFOnToxceLEdOdatGhBSEhIlgwLunTpQkxMDLdu3dI70C5fvjxdubZt27Jq1SpatmwJZC3Ta15iXu9NKOsAJED8Bgi/C4FRoHYm5JdIZDzAQ5RHzQAUA6uTnN9gwc12Vzi6I5SIM+c4NGM32m8+gs4POTzrHNPXf8WDBw/0pvQLFizg2bNnrFu3jq+//hpXV1dKlChBeHg45ubm3Llzh6tXr/Ljjz9y+fJlFi9eTFBQEFu2bOHLL79kzpw5dO/enc2bN9O3b18WLFhAr169WLBgQZr7uX37dt58801AMR1v3LgxV69efan30Hg+o4IxTSeEeJYqJt1TIUSkEOK2EGKJECJjU8cU8nQwkhmELDdWr9CaznSMWdNptVr69+/PqFGj0p17+vQpKpUKlUqFi4sLQgh+++034uLiOHfuHB4eHggh9JGxW7RoQaVKlbh48SJSStq1a4eUktGjR3Pt2jWklFSsWFHv52Fvb0/58uXx9/dn+/bt+Pr6UqNGDSZNmsS6detezg0xgdSx6Qzx119/ceHCBfbu3Zvm+MWLF3FxcclSyvIxY8Zw584d2rRpQ2BgIJcvX2bevHlprA6vXLmiDwSqI6NMr6+KZm8kg7sTivVuM0BA9DNwjQEiIewQqC0AS9DUQ0l1Ux7YAzOPwhdRYFOXpjIcT/MQFq34hC++sOHID//QoUMHfQw6c3NzvVP2kiVL2L9/P2q1mqVLl9K6dWvmzJnDO++8o8/se+rUKX7//XeaNm2q72v58uU5c+YMpUuXZtKkSaxdu1YfNLdMmTL89ddfdOzYUZ9csH79+ixcuJDKlSszZsyYl3YPjfsZFYxwQFKJQ2efanNAsay7DKS3PHmBPDfHkQZClhujUBmZjjFrug0bNtCvXz+DgU7t7e31U3Jt2rRh9+7dJCYmYmFhQY0aNUhOTsbc3JwbN26g1Wr1Kqpq1aoA+igGAN7e3gCknmaNjY3Fx8eH+vXr4+npSbt27ahZsyY//vgjO3bsYPDgwSxatMjgVFhekJkyAsWya9OmTezevTuNlaDu+2dl6jEgIEAfXqlkyZJUrlyZ8ePH89577+nLtGjRgo0bN6apl9+Ukd9UlWI7pVIBR6FYNbAtCo/8geuAhOQ4IA6SHqA8cuoBTri9OR9339ugTeJKk8/5bow5HtcfsafBXC5//JjTp08TFxfH+PHj9QNE3759kVLxP7p79y4jRyoRaBwdHUlOTubWrVt644AJEyawdetWbty4QbNmzbh//z5CiDQ+XF5eXnz11VfcunWLgIAA/ctQUlISx48f1/vIHTx4UB/9Prd5Da3pnvdfynAp5Vx0YdszoTACQw4oyMqoevXqTJ8+PdM2rKysWLlyZbp2VCoV8fHxlC9fPstrPqnLZeZntGzZMqZPn05AQECeR8vWYUwZgfJ9hg8fnm3fle7du3Pu3LkMz0spiYqKSve3n9+UkZuboO6mo9h/FQsT34cnCeDjiuOUBmBTB0QzwAOq9gWzhijeG2FABcqVKM+jDjUg7iFXpn1Dk7mDmaEdwZ4qJaDfeUJD47GwsKBmzZppEujZ2tpSr149Vq5cSYUKFfTHX/ydqVQqrK2tiY2NZd++fUybNo379++zdu3adAO6Wq3m008/5eLFi4waNYq6devSoEEDunbtSp8+fTh+/Dj79+9Ho9HkepDcV5nPKC8QQpiRBZ/WAjEYFSoj0zGmjGrWrMngwYNZsmRJHvZKwZifkaurKx999FGuJqwzBWPKSEfJkiX55JNPsvW23Lp1ax4+fMiWLVuIjIxMd14IQYUKFdLF+ctvygig7du+rPnbk3cOvc8ng2bh4XqHSHVJaFsPrAS27ZqgKh4BibrQUMp3+nelM7AG5AOIL4N2VxxHWywEMQvkNDzKVcLb2zudQt62bRtdunTh3Xff1fsXJSYmcuPGjTTlZs6cye3bt7GwsMDR0ZG7d+/i4eHBuHHj0sVh/PHHHxk6dCjffPMNixYtYvPmzdy/f5+wsDB9BI7mzZszdOhQmjdvzvjx48ktoyrjUbsLRjggIURXA9sAFLedDcbq52kEhuxSqIxMJysRGLp3787kyZO5c+dOmtTkL5usRGDQaDS88847edSjtGRFGelo3bo127dvp3379iZd48SJE3Tv3p1OnTpRsWJFrly5kk5lnjx5Emdn5zTH8psyAhAaDSfPJmHNE9wcLhJp7YZ8aEWxMTd5mOiNvfs97GvBg73FdONQKjRQ7AGYH8Ky1UEszzwk0cqOqDuS+MiS3Lx5EJVKRatWrThy5AjR0dFMnjyZM2fO6NO9lyhRgho1anDs2DF27NihN0DYsGEDw4cPx87Ojp07d1KsWDFiY2OZMWMGLi4uDBkyhPnz5+ujtQM8fvwYPz8//Pz8mDBhQrrvumDBAmJjY7G2tuZ///sfDg4OtGjRghkzMjUIzpSsRO0uIHR44bMEQoGfpJQZm9WmUKiMckBBVkY6RowYkSajZ15gTBlJKSlevDgDBgzIw149J6vKCBSzYlOVSnh4OM2bN6dFixYcOnSIq1evEhAQwO7daf29ixcvzrJly9Icy4/KqGTX5jioIMjRnKNj+hPXwxKNVxSDKixkwrDvebDUigeDt0PyVgO1b0HwEwjUEvvb24SfWkHU4Q8hqDdEfcq2bdtYs2YNkZGRNG3alHLlyrFkyRKKFi2Kh4cH27dv54033uDWrVsMHz5cH7cOlFiCdnZ2wPMIDFZWVkgpCQkJoU+fPowZM4bevXtz9uxZpJRMmDCBadOm4eLigq2tLR07dkzXYysrK0JCQrh+/TrJycnMnDkzR+ubr1HU7v4vbB9KKUdnZSCCAjIYFSoj08lqbDpHR0e8vLx4/DjjPDK5TWbKSEpJnz59mDVrFu7u7nnWp9SYooy+//57g2kpMkMXCeDOnTv6cDdWVla0atUqTblz584xcOBAEhMT9cfyozIq/dsaph4IosXCSpx+3IaebVfzRu8TTK0zmWmtPoOEB4AjmqRpQQAAIABJREFUBiJ9AQnAU1BVBhmo/IwaeABcwtu7Lr169cLf35+///6bq1ev8sMPP1ChQgUWLFjA8OHD0Wg0HDlyhIkTJ+ozwSYmJpKYmKgPAWQoavdbb73FzJkz8fZ+nu68bt26zJ8/X2/y/ffffxv8zi4uLqhUKpYvX87nn3+uV2PZ4TXKZwSAEMJTCPGXEOJxyvanEMJwjKtUFIjBqFAZmY4pUbsHDRpk1EkzN8lMGS1fvpyyZcsaNDnPK0xRRg4ODkZTXhsiKSkpjT+Svb09AMHBwfpjbm5udOvWDY1Gw6NHjxg3blwaZZSUlMTXX39t8rVzG197R8LPFWHsxJaETExgVZV+nKr4NtwwByJQBphngAvpjaokEAXaOCAeiEbxS4oAJK1apTX1NzMzo0ePHnzxxRcAHDp0iHXr1unvnw5zc3PMzc0pVaoUQgg+/fRTWrduzezZaXO8NWnShMmTJ6d5GWvYsCEXLlxI52tniOrVq/PDDz+wf7/hPExZwbgyKhh+RqlYiuI/Wjxl+zvlWKYUiMEoI2X0qp0kXwdlBErunLJly5r8hp9dMlJGrVu3ZvPmza/McEGHKcpo4cKFafI6ZRVdynAdOufOIkWKpCn3559/Ehsbi7u7O9OmTUujjGbNmsWUKVMIDQ01+fq5zlgN3G4Ely0gKhGqJoO8BVwDkgAzIBElHOWLPE05rwYCUso7AS7cueOU6WUzUs8667uJEycSHR1NkyZNuHr1KqNHj05T7uTJkyxZsiRHU9Wpfe6yw+viZ5QKNynlUillUsq2DHAzVqlADEYZKaO+ffsyfPjwPO7Nc14XZQRKdO28WjvKSBnt2rWLjRs3vvIQQVlVRlJKrl+/TpcuXXJ8Td2b/YvpPNzc3Lh58yagmB/rlNHx48cZP348Bw8e5MCBAzm+fo6x1QLHAQGPBNRTgVdxwBxloLEEIgF7A5WvoigibxR1VA9ohRLKMmuhtnQKqEWLFly6dIkHDx4gpWTq1KlYW1unMQ1PTbt27RgwYADBwcH4+/ub9JUzw5QkjK/Sz8hQfrkMynUTQkghRFbevEKFEH2EEOqUrQ+KIUOmFIjBKCNltHnzZn755Zc87s1zXhdlBMraka+vL8uXL0/zxj5y5EgOHjyYq33LSBl98sknr3wggqwrozNnzmRLFaXmwIEDzJkzh8TERKKiomjdunWa80+ePEnjj9ShQwcOHjxI/fr1OXHiBFJKTp8+naM+5AbmcbFAfZR1oUsw+xCEmwPmoC4Gvl3AqyuKj9ELqL2AfcB5lEFJoKiou8Amxo9PF8g/DU2bNuXu3btcvHiRPXv2pMlNpaNOnTpUrlw5XRJJXdmvvvqKjz76iKioKNO+eAaYmZkRGxubpbKvys8oVX65NkBl4F0hRDoveCGEHfAZyttGVvgQ6IEy3xqM8lbR31ilAjEYverpuIx4nZQRwBdffIGHhweffvopO3cq+Q2DgoLw9fXN8j9WVshIGekWn181WVVGW7duNdmkGxTLLp2xws6dO3ny5AlSSs6cOZNmukeXHv39998HFCu8Tp060aNHD7Zs2UKdOnWYO3eufvH9VVK1owBPf6idBOY1QF0fOmoBD0iWcGAz3NqGAdtuSL4FZq7gUBnFoOFPYD2wA3jKrFmGFcuzZ88QQnDgwAFmzZpF1apVCQtTBrsX13pOnjzJ7NmzmTx5MnPmzGHo0KH6sqD43Q0fPjxTlWIKo0ePNphX6UUOHDjwKtOOZ5Rf7kW+Ab4D4ox+IUBKGSil7CildJNSFpFSdpZSGk0mVSAGoxcXJ18WU6ZMIS4uS/cbeL2UkY7mzZszb948EhMT+fzzz1mxYgXR0dFYWlrm2oBkSBlJKY2mPs8rsqqMpFRyWplCeHg4jRo1okyZMoDimDlz5kzMzMzo27cv48aNY9u2bfj4+HD06NE00z1+fn4sXLiQqKgoOnRQXDqcnZ3p1q2bSX14GYzv8gzuucCpp5BwHbTBsPw+ihJSA+6oq7QCxy6AAWvAxBCI1DmRSkj1IM1oxqt/f+Vlu1q1anqDFycnJ+7cuZOubMOGDalSpQobNmygffv2xMTEMGHCBP19BOjduzcLFy40+bsbYubMmUbbWrduHWPGjKFXr14ZlnnJ03QZ5ZfTI4SoCZTIinm2EGJSJlv6yMIvUCAGo7yypuvfvz8aTdb9gF83ZaRDCEGHDh0YNmwY06dPx9rammvXrqVbXM8u3bp1S/MQADh+/Dhdu3bNlfZzSlaVUf369U0O7GphYUFgYGC6jKVCCP777z+cnJxo3749+/fv548//kCtfv5AsbS05MCBA3prusTERNRqdZoyr4pu3dxB/QQIBAIgeRtob6AYJzwF6pN8+TZE/AtNG6FY1r1IauvfhDRnduxIG10hISGBoKAgoqOjuXDhQppzuoE+NakzvVaoUAE/Pz9mz55Nw4YN9WWsrKxyLdyPSqUyqvStrKxo3Lgxbdu2zbBMLkzTuQohTqXaBmf1OwghVMAPwBdZrBJtYAMlXPtYY5ULxGCUV35GJUuWNGkweh2VUWpSh6OpWLEiJ0+ezI2usWLFCiZNmpTm2M6dO/Hx8cmV9nNKVpVR69atOX/+PM+ePcty29bW1un8XXS89957JCUlER0dbfD6tWrVIjo6Wm9N99dff+n9lAyR22t9RqnfElSOKNZw9kAMEALcQAnUrwKPtqi8y6EqZ+hB7Q4YnnLs0WM9UirZcT///HNGjRrFqlWrsvxsMORnZMhfa9KkSTg5OTFkyBCTwzxFRkaadM87duzIDz/88LKn6UKklLVTbYtTNR8ElEj12TPlmA47oCpwQAgRgLIouCUjIwYp5RzdBiwGrFDWitYCRkO8FIjBqNDPyHRyooxSoxuMhBBpvNtzgqurK/Pnz9d/vnbtGgkJCZmmX85LTPEzGjRoUK7F99u7dy9eXl4ZPmBHjBiBnZ2dXhmdP38+TQRqHTNmzOC///7j7NmzudKvLHPUT4mDSgngTSjRHao3B4pB+drg7A2EoD2mQutSXqmj1j2INSjPK4/07RJLVNSv1KxZk6NHjzJ27FjmzZtnUgir1MooM8qWLYuUEj8/P31E8KySnJyMr68v7dq14913300XKy8jjFnTJaHO9maETPPLSSkjpZSuUsrSUsrSwL9ARyllhj4gQghnIcQ04ALKL7WmlHKslNKoV31hbLoc8LorI+ClTAGVK1eOyZMno9VqiY2NZfr06cydOzfXr5NdTPEzKlu2LLGxsfz3338Gp4dM4eTJkzRs2JAePXqkO3fz5k0CAgIYN24cNjY2JCQkEBwcjJmZWbqyvXr1ws3Njc8//zxH/TGVquuqE5tgw+1DtRG1k5DTLsKFFEu4mzfAsROoY6GPQC0dSD4BJOsG/SQU44YHL7T6Ncog1Yfp0wfRpo3RTAQGadiwoUkR1mNiYlCpVCZFj3d2dk7zd7Bq1aos1cuKn9HLQEqZJITQ5ZdTA39IKS8LIaaipCs3mvg0NUKIWUBXFFVUTUppkmlioTLKAa+7MoqMjMy1yMSp2bhxI/369aNx48Y0atSIYcOG4eJiNBFknmGKMgIlrExuqKNSpUplGFbG09OTNm3a6P2Mjhw5YjBuGihrJi9Gpc4L/tsSTJLVU/zm9eTDlktwW1oUyvREcWCNg6gTiC6evNfCjyKldM+pi6la2AikVnMSJWLDu4Aj3bplP/FiVpWRDiEES5YsYfPmzSb5DJUuXRopJQ8ePMjyC82r9DMylF9OSjnJ0EAkpfTNTBWhrC0VB74CHqTK+PpMCGHUJLpQGeWA110ZCSEM+mxkl8jISGbMmEFYWBi//PILH330Ua61nZuYooxAGUSym9dIh5SSw4cPZ7guZ2VlhZWVFS1btsTGxobZs2enc5B91ZSs0p6rsV6YmS+la7H/4VA8lPltPiXxryEQdhPityL3x7M67gMcGj5BcYTNzHo1EvBCcZqNJyfGnKYqI4ABAwZQtmxZzMzMOHjwIE2aNMlyXVOulakykoL4hFcW1sckpJQ5Ejc5qiyEsBRCnBBCnBdCXBZCTEk5XkYIcTzFq3ddynwkQghbIcQWIcQ+IUTxlGPuQoitKW1cEUJsf/E6hcrIdHJDGRlK7pZdEhIScHR0ZMSIEcycOTPv1zNMwFRlVLJkSe7du2e8YAYcOHCA2rVrExERQVBQUIblfH19GTZsGJ9++im1a9d+JeonM8qd2gOLnjI6aRbzoz4jJKQoGudEKP8UOlUEq8bYt4CmX/1D9GUHcDG05pN6zUiLMoOUDClv+ePGZe9v2lRlpKNp06acO3cOHx+fl5LlFYzEptOqSIizyPZWkMipMooHmkkpo1Ky+R0RQuwARgJzpZRrhRC/opj2LQT6AItQXKs/Bb4EpgL/SCl/AhBCVH/xIoXKyHRyQxlduXKFcuWyNkf/6NEjNBoNarUaBweHdJEUoqKiqFevHu7u7sTGxhrNZ/QqMVUZAVy/fh0pZbYiSFy/fp1mzZplOO2mo0uXLlhYWODj45PvIncDjBjenK2d7Hmw34X7j7zhSDL4nYf4O2gGNKHVmf94EJ/AwdXN0KotoOIbcPTFaeDU69z/puwlOmfZmTOPMWOG6X/X2VFGOnTKxdS/CVPbN4iE5KRXb7qfF+To7koF3eSvWcomgWY8z+y3HOic8rMa5XVHy/N48sVIFT1RSpnWaYBCZZQdckMZHT58OEvm1gkJCRQtWpQSJUrg5ORkMHOplZWVPomZsXxGrxpTlRHA4MGD2bhxY7auZ2VlpXfgNEZ+zGekY9++PRD1H8Xj7lLzrcO4DAiGFZXRXH+bpDgrth3oSq2oU9QudZrSXa9R9/uLKA6wqR9DiUANFKfXtkCjdNeJjs66Y7qO7CojHZUrV35pAWkzXTOS/3+UUY6H+pRAeOdQXmn+AW4DEVJK3apfaq/eVSiK6GdAZ9v7C/C7EGK/EGKCbvouNYXKyHRyQxmFhITg6upqtNzUqVPp1KkTMTExSClxdHRMc16Xo0jn6JqVTK+vkuwoo7Zt2xIUFGSyb8+5c+c4f/48lSpVylL5/JjPSEfz5s2hkjf3f/XizGQfQvskU16co27ESTiThKN3CEvW9uHGt1b8dnoQt3dVA6/aKO+mqSdp7vI8bNAbwIk01/Hymo+pGPIzMoX333+fo0ePZrt+ZmSqjLQC4syzvxUkdDk7crqhZM/aDzRGiXekO14CuGSkrjPwHrACeIQSglx/XqVSyfDwcOnq6pqv9g4ODnLKlCmvvB+G9qdOnZJWVlbZrh8SEiLNzc0zPH/nzh3p7Owsw8PDJSBDQ0MNlps/f74E5KZNm/THnZ2dZb9+/fLFfTK0Nzc3lyEhIdmq/8knn5hUfsiQISaV79+/v/6+v+r79OLeyspKwioJThK1vwQ7id2/ErWrpO4TCQ4SzWaJhYv0Pb9I2jqZy6pDfpBgI8uNXSjBWsJYA3uzdMdN7d+3334rHRwcsv39Pvjgg5d231xcXCSKKXX6Z2OVWpLrMvtbBu3mxy13G4NJwGgUt2tNyrEGwC4T2tgKdEt9rGLFilKr1cr4+Ph8tb99+7Y8evToK++HoX1ISIjcsWNHtutHR0fLiRMnZnh+79698vvvv5enT5+WgMFy0dHREmXaViYnJ+uPR0REyC1btuSL+2Rov2bNmjT9NWW/evVquW3bNqPloqKi5PDhw2VAQIBJ7W/dulWGhYXli/v04n737t0SzUmJ6oaEuxLXHZLhcZLJMVL8HCFLXT0uqwXsk+oVD6TmnUD59iU/2XDrrxK+ktj8reyZnLL/TsI3KZ+bS/gszflu3dYY7EdycrI8duyYXLNmjVy8eLF89OiRjI+Pl/7+/vLmzZvZ/n5ffvnlS7tvp06dyngwqlxLcl5mfytAg1FOrenchBCOKT9bAS1QkpPsRwkbDvA+kOECgRCimRDCOuVnOxTHgjSTu7GxsQghMDc3z1f7x48fc/To0VfeD0P7sLAwDhw4kO361tbWhIaGZni+WbNmjB49mlq1anH79m19pAaVSoWPjw9RUVH6xGeJiYmoVCp9/eTkZLZs2ZIv7pOh/caNG5FSZqt++/bt2bRpU6blIiIiGDNmDOPHj6dUqVImtb9161YSExPzxX16cX/w4EHM3pDQtgT8VQKatcS8ZwxNhuyhUb+DxFo5EaJxp36NU8hqluxtVJRjnd0BDUSfVvaIlH0sYIESIqgEcCrN+T//vK6/7pMnT5gxYwbTpk1j4sSJ3L9/n2rVqtG4cWO+//57LCws+Pbbb3n48CFSSn7++WeTvperqyshISEv7b5l6sunTbkV2d0KEDm1pisGLBdKXgwVsF5KuVUIcQVYK5SwEGeB3zNpoxbwsxAiKaWNJVLKNM4WhWtGppPTNaPg4OAsRaReuXIlERERlCtXjoiICKpUqcL27dtZt24dbm5uhISEpIv39zquGemIi4tj69atJCcno1arCQkJ4eLFi9jb23Pp0iVu3LiBSqVi+vTpJkf8hvy/ZvTbTkse+/8HARWhZjIJ3zlwqEY7LN6MQRJLwklHgnc4Q9ADiHRDMVjIiBiUNDu/kTbJ3mMgmG7dvuTtt0ty+fJlJk2aZDDr6+zZsxk7dixFihThq6++onHjxty8eTPLoX6aNGnCs2fPWLx4sfHC2cSYNZ2hrBuvIzkajKRi+ZbOZVxKeQclV0ZW2pgFzMqsTH63pmvQIGvZKPMSnTXd22+/na36mzZt0ufRyYzevXsDStigMmXK4OHhwdSpU4mJieHMmTN6C7rU6KzpspMLKC9Yv349Xbp0yVYoJDc3Nzp37kyjRo0oV64cZcuWpW7duoSFheHg4MDEiROxtLTMdt/+/vtvateunS8HpD179lC+Ui8e3yoDl8Lhkj+oikBAeeKvx8P+h9DeAm7vA40HlPaGgHigEsqEioqU4HYKFrWhZl3wd0exjaoOHER5B27Cxo2xjB9fj0GDBhkMi6TDzc2NAQMGUL9+fZo1a0ZISAh3797NkkHD4cOHCQwMzJbJ/ovo2oiIiEjzIpJpDiVJFrMIFXwKIzDkgNdVGSUlJfHPP/8wdOhQk+p89NFHDB8+HC8vL4ODkI7XWRkBLFiwIBd7k5b8roysr7hz9IElJJuDR2sIF1AkCZafAc7Dpg4Q4wIchKcHAG94pzH87yppBiKA+BjwXwVmA8AlAWrYwIFBEG8L7lXBy5Zdu85Sq1bGA5GOQYMGMXLkSOrWrYuVlRWlSpUiKCgow3TkoEQ979KlS46s8FJz9epVKlWqhKOjI0lJSfqXHaPKKOvRiAo0hbHpcsDr6mfUrFkzWrdubfLbYJ8+fVi5cmWmAxG8nn5GeUV+9jPas2cPTeqGgBu4bQvAbOJTXH67h7pHLJiXAjqA2hVUz1CesiUBGzhqhuH34iuAJdSrAw/vw/UyYJ4IzSuDzR04upAJE7KWkPHYsWOEhYURERFBVFQUa9euZdeuXZnWWbRoERMmTDDpHmRGxYoV+eILJTWQRqNBq9USFBSUuTLSoiij7G4FiAIxGBUqI9PJiTKqXr06gwcbz8EVHx8PKNlLt2/fzvTp0/n666+N1nvdldHLJL8rowqlXKEElLS4h1fpq9i5huFS5TEOS5KgXCQkWYFlRRDOUK4TUAVC1WBmKH2IG1AB7tmBWUkI2AtRwJ5VEGQBLduDawl6ZSHNls7PSKPRoFKp6NatG7///jtDhgzBz8+PFStWIIRg9erVCCEoW7YsFhYWmauWbDB79mwARo4cia+vLyVLljSujAoNGPIP+V0ZvW5rRiEhIURGRhpdYLe0tGTSpEnY29tTr149Nm/enKV1ltd5zehlk9/XjNzd3cHNjdO/N4Y4CZfVygPVAagDxGkx/8CdhGX9YVMQICE+DMwrANdeaDEUqlYHNzt4WB9YDm/WguS3oZoVlAIGlWbdWcnaOpmr+GPHjlGnTh39lJtGo+HIkSMkJCRw48YNdu/ezc2bNylfvjz79+/H29s70ym87DJu3Dh9kOCWLVvy5ZdfGl8z+n9iwJA/X/9eoFAZmU5OlNGOHTuws7MzeO7SpUvMnDmTkJAQmjdvzpQpU/jiiy9o3Lhxlh/ehcoo++R3ZeTq6gpaCUkSNAK6x4F3nOJ56AjYqEgY7gZ7rUFVFkqXAVEWEg1FC9DCpQNwLBmKlAbhAYmHYYAFlNWCdTJck3AriaJFD2fat4wiMJibm1O1alWsra35448/uHHjBvfu3aNnz565cEeek5CQgBACT09P/vjjDzZv3kz37t359ttvjURg4P/NNF2hMsoBr6MyiomJ4enTp6jVap0TchpOnjzJ+vXrefLkCT/99FO2+laojLJPgVBG3WyxuJ9I/ClruKfBefg9ou47IJIk8ftcQEhw1IJ5HBrfOCr7nufCugowyAIl9rKG56v2waCSUFtCFR/YuRo++x1kG/CIhqhSELmdRzzh8OHyvPVWUYN9e1EZvcjgwYOpXLkyUVFKqM3cXgueN28eU6dO5eOPPwbg9u3bevPyQms6hQIxGBUqI9PJrjI6cOBApudr1arF2bNncXZ2pnLlytnqW6Eyyj4FQRmZPdLiVeEmwieB8GA3ngXZkfDEBk6bKxF9mgiIVsFpW5L+suHC0WZw+ylghzIYpTYfC4ViT0BdArzLwtki8OgBsA6CPIGdKE9rR5o0+RspBxnsm7Go3brft7OzM1OmTMmV+wFKhBtra2umTJlCq1atePDgAQsWLEhjHFRoTaeQP//jXiC/K6P8SHat6by8vHBzc8vw/Lp16zhz5gx79uzJdt8KremyT363pgsJCWFK5bF8UWQ274tlWLpHYWcWQaWqZ3FucRfs4yEqAbwSoHsC9I+CKknQPRGK6vIzWaNEXkjh4WW4nQxbk8HCN+VgFHADiEBJFvAMsKTcG/cxRFaidl+6dIkpU6ZgZmbG9evXc3AnFDZs2IBKpcLJyYmxY8dSr149Ro8enc5K1ag1XaEBQ/6hUBmZTnaVkbe3N0+ePEnnRBgbG0uXLl2IiIhg2rRpOepboTLKPgVBGfU9vwrtDbBpE4+37Q12lmyFpYjlgm1V4stbcuO/ikR87UBCrD10U4GlliJ1Q3g8rxP03wfRF8HJB8J3KA3HnIQrNpDkCsn+qa7oDXgC0WDnDfFPuXM+iCVLYWB/zzR9y0o+I41GY3BqOjsIIahfvz5SSi5fvkznzp25efOmwbJGlVF8rnQp35M//+NeoFAZmU52lNHKlSv1b20VK1akSJEi+nPLly9nypQp/Pvvvzn2Ri9URtmnICij7bUiONQ3gn8rxeLQ9QgjxkxgyKr5fHLmJ+KfWeBqG0JCG2vUfaIhSMAaScR6F7DWQo2UbDPh/igmeKBY3O2H5JNQrQZ4NU85ngzFPUHlBdIStE5g+YhBX8fxLCbtoJLTfEamkJSkzKtFR0fj5+fH0KFDOXw4YwMLo2tGSTnYChAFYjAqVEamkx1lFBAQoP+5du3a+Ps/fwt977332LFjB/369ctx3wqVUfYpCMpoQB1490049QCObU5i2xwte/qG87TuUTZ5t+JEg4YELrMjMtKNPzt1wHfYLjrW/ZsAz9KM/OZ/oLZDmX57YeW+6JsUGWFJq0l3wa4icAuSzcDbCXo6QIl/IO4KRD7D/pe0LxM5zWdkChqNhsePH3Px4kVKlSrFnj17KFrUsGEFGMtnxP+babr8+R/3AoXKyHSyo4ymTp2q/3np0qVpUo5HR0fz+PFjKlasmOO+FSqj7PMylJEQgrNnz+a4HZ0yChvoSPgHtgz2gL7vQ7eW0PVt6PUr2PwNcjG4quHGhxLPivvZ/F4X1i8ciOeFZwy0Woldk9opLdZByfiaQsIzHs+JZdeKGiCdlWNhO+HWCdR3buG+zxd6fwG/VwHbJBx8wvVV81IZgRIPT0qJj4+P0YgkWfIzyu5WgCgQg1GhMjKd7Cijt956K81nnZnrmDFjKF68ON9//z3jx4/Pcd8KlVH2eVnKqGbNmiQmZhZB2zg6ZbR1UCs2D2uH/M+eyIUePF3tgd0Qc9RRYH8P1tZ8hz7LfqfIBQeqfwyyOMQ5wt3qjlx/w4vkKjqT+hNAmecXCDuF5dtFcXePgcTioGkKiffA1gzHVrZYPopFNSYKx6aPGFh8EXwdx/4nPYC8VUamYnTNqNDPKP+Q35XR6+JnNGLECPbt26f/LIRAq9Xy888/c+zYMWxtbdPVCQ8P58qVK5w7d4733nsPJycno9cp9DPKPi/Dzyi3Fu11fkZbNB0xs4zjRHJdiIZeUaspWiuc8PK2qC5rqXv3NJ3itnGnjAebZ7XhSGxjVFKLZWIsDtoIYkuXBiyBOBCeIHWWbRHEzdtMl43gL30o4hbBiXmeEHEYrUtZ3nxwHpcmT7C7GcWQVj9jsRvOODsRkjCC+8dKZupn9CrJUmy6l4QQojXwE6BGSd8z84XzI4GBKCtQT4APpZSBL6MvBWIwKlRGppMdZdS+fXsSEhIwN1emRpKSkrh27RqxsbEZWiI5Ozvrf/7444+z9GArVEbZpyCsGW2u4YsU5qiHapBBifzW4xPsHMN4iiPcMoOIBIRnIjWL+2P5IIEzO2phUzIGa+8oyqpvozpqTbLKBbRBIPeCWVFIfJhylSjWzBoIb2sI+MEWz4HhPFx5m2dzN7FvRA/mypEMmOtHC5/9RBxz5eO3FnImwZoTycXZmw8HInh1fkYpeeh+QUmKeh84KYTYIqVMne3vLFBbShkjhBgGfA/kbniKFPLnf9wL5HdllB/Jrp9RmTLPp0UcHR2pUqUKZcqUYfTo0QbLR0VF8fDhQyIjI7P8hl24ZpR9CoI1nezhAl1tSZ5mhtZPi/Q9ztP6IdAsGE6GwbSnyO/jOf1VHc5tq0XsZWdCEj14HF+UwOtl0daxhGY+zxtOjkh1lXjwX8Y7sb/jtTCS+96VSCrVjaQrUVid28Knyv41AAAgAElEQVQ3qrGU7H2Dd5quQVUhCr+773HYvwUBa09Q7fNbeX5PsoLRNaOXZ8BQF7glpbwjpUwA1gJp3hKllPullLoH8L8otvQvhQIxGBUqI9PJrp/R/fvpnQb/++8/VCoVn3/+ObNmzSIu7vm8gY2NDe7u7tjb22f5GpkpIwsLC4QQfPDBByb3PbcoVEbZQx+b7scb8PNNiLmKEBFg7wbWT8E2HI4+BRsbOG4GJ82I/s0G/ryPxdZIkpaaEfiPJ3LuNXimAY8UQwatDXikzuEZzYaH9Qj+zxV75xC8p2lR1avNo18ecb9tDLG/mhFzVUWz947wQezv3FtRAouSPsRXLYL57Bji4vKXzbNRa7r4HGzgKoQ4lWpLHY7fA7iX6vP9lGMZMQDYkfVvZho5/o8TQjgKITYIIa4JIa4KIRoIIZyFEP8IIW6m7J1SyqqEEH5CiGNCiCopx6yFEKuEEBeFEJeEEEeEEGkWJwqVkenkJJ+RlJK4uDi8vb31x9avX8+DBw8IDAzM8VpKZsooPj6eR48e8eab6RII5xmFyih76JQRFSpC5UrwXm1EmwqouxVFlK2FuW9pVPUdsagTi1iowmVqKLyrwXKwPcWKPSTpuET7DFRNPXEbkghVdebQodCoFNg+f06aHz6G6skztPFmqB5B6aFFUZV0Jen4Hp66RbJ+Y38Or6zOjgvtUAeGUKLoStp6/kLiz9ewslrEX39dfTU3yQAv2c8oREpZO9WWrfzpQog+QG2MZOXOCbmxZvQTsFNK2V0IYY4Sy2M8sFdKOVMI8SXwJTAWaAkcB0YDM4APgc+AR1LKagBCiApAGrOeQmVkOjmJ2g2KQkkdEiUuLi5H6bJTY2zNqEiRInz22We5cq3sUKiMsodOGakHxuNUJIFQC1sszeOp2vY0n4XMQ6gSidNYsDeoBavW9if0uBtOH4UQ/sCNUJU7DX84wcW/qvPsfjy+MXv4393uKPHqnsHu3VD7TTgQBED83VjiFx/AsnkN7gdIouI8weZDsFhF/PIdlPvlIa5u1sgKEsJLcm+BL2EJ5SFWjZlZKF27rqdOnaKcODHkld4zyKI13cshCCiR6rNnyrE0CCGaAxMAn/9r78zjoir3P/5+ZoABAUEEEQVUXFLcF8ztqql11XtdMrvYLfXe0N+1svS2ezNNyxau91a2WbmVpmVauaRmRl40BLdcwyUUUUQBcUSUYYB5fn+cMzgsss7AUOf9ep3XOeeZZ875zplznu/5PM/3eR4ppcPGg6iRMxJC+AADgb8BqPWOZiHEGGCwmu0TYCeKM9KjCE8LYO3GHwQURWdIKUsNCuXsyui3Ek1XHvZyRKBF09WE+jBq96czn6UB7uyQPfGQBZwjiFU/P8jF7ECOpvXALyGTN3rNoNEzmWR2a8IRS1fcrprp2zCBZ7yfhog27Ph5MIbQS+RldYfLsWC8CTt/otiI3vnpmLbGw4BJMNoLdHq49gB8uoKkx37GtKgHfjd88A41YUyJ48b+QrjSmfxCHb6+Huzbdwmdbh67dk2if/9W5f00h1KH0XT7gLZCiFYoTmgC8FfbDEKI7sCHwHApZbrDLKHmyqgVSrjfciFEV+AAitIJlFKmqXkucWvUw++AVcAkwFp3uQzYLoQYD/wAfCKlLDaIk6aMqk5NlZEj0aLpqk99UEa+hdmEZ5kITl+F9zUTn7cZS6MgI0mdWhFZ8A1/armR/41LIqwDdPqoM3nt3GgWcImPDVFYOjcltHMyo0O/4rsDf+bXk12QfzsIUunzRmAPuPwztypPboDegmthLvlHXejQ9QiDNplYNdGD1CcOkhraExq5oR/YkULRCkQK0AGjsRBIRK+HAQM+JSSkMb/+Og03t9oPMK5QGdWs+9ftDy1lgRBiOkq5rAeWSSmPCyHmA/ullBtRquW8gC/VYcBSpJSjHWVQtReUOsQC4E51/23gZcBYIt/VCo7jBYwD3kcZB6SD7ecuLi7SaDTKdu3aOdU6JCREzp8/v87tKGt94MAB2ahRozq3o6x169at5aRJk+rcjtutvby85JUrV+rcjrLWDz/8sAwLC6tzO8pa+/n5yYSEBNnKE7nzuRmyuStyaQuDbKZHbvZ0k6EgPwUZokeen4wMbeMq474KkS0MyEPdkM1aesgN+7vKtgHIc2/pZIvWrrLX8XVSBIVJ3N6X0FjS4j8Sr9YSZiv7PC8RQdKw+YT0DAuS9179r2zYJkB2/GS7xD1I/byppMlLEn1ziVuqhJYSYou+L4S/ko/Gsm/fFXVSjqiFf+my0aOnpLOs/nKb4zrjUlNn1BRIttn/A/AtcBIIUtOCgJNVOOa7wFO2aW3btpWFhYUyLS3NqdYHDhyQu3fvrnM7ylpnZGTItWvX1rkdZa3PnDkjN2zYUOd23G798ccfy4KCgjq3o6z1pk2bZFJSUp3bUdZ6/fr1MjU1Vf4HZM7Fi3JPO+SRbt7yRw/kN8E+cr0v8sJA5KaOyEs9kQsNyMUbhsmV/+smv7g8REYdfUo+/cf28o9rn5X/vPCi/Ne5iXJW/kz53/N3S8PgHRKekjBH0m21pF2iuv+ihCclrpslz5yR/ZI2yLv3vSPvTN4i9TMSJd2s33tY4rpS4ndZ8udUSaeVSnqDZernC6R308USFkn4jxz95H55/ty5WrluMTExt3dG7j0lHWT1l3rkjITqAKqNEGIXMEVKeVII8RJgrUO4Im8FMPhJKZ+9zff7A79IKa+qARDbgPellOuseVq2bCltB/F0FuLj49m1a9dt++DUJadPn2bp0qW8/vrrFWe2A0IInnnmGaKjoyvMm5WVxXPPPcfHH39cC5ZVnb/85S+sWbPGKduMHnnkEebNm1dsRHVnYfbs2bTNzib5nXeYKyXzhKBhy5ZkJyfjERxMboluA2EPetFjlAvZXxuJ/wE6dAFDU2jXD/IfaojfL9l4JMJ4r4/ZGOkPHAYKaE0iffukccp/DMM3P0cBsIQosoIHEb3xRx49upzMcF+eavYG5y+EcviVZtz49lmwNIMJD9PufXdM171I+TwM3fl8LEmCALfzZGS0JWjZGfwnJePql8zobVNpdMcdPHHihEOv28qVK5k0adIBKWWvkp8JQy9J8/3VP/hZUeZxnRF7VJA+DnymOpIzwN9RQsbXCiGiUIIT/lLO91sDHwilQlKHoqzW22bQ2oyqTm21GZ05c4bdu3fTvn17/v3vfxMTE4Ovr2+5k+9pbUbVx9nbjGIiI7F14Y07dCA7ORl3X99SzujMZzmc+ezWfoI6ElXsamB6NsFdQecCPQ5MpQdg8mmI27Xr6JAQD22I4xouLOYRcvGDC0nM6RFBYa91BLw1hKGmGDZ0GsXi997h7B8zWPe8HvH5axzdGMHYXxozzT2Gjr1T+OFAPs0296bJS19xfEoTvPcqMVQu3t7oXVyQFgvCgfdDHUbTORU1dkZSykMobUclqVQYl5TyU+DT8vJo0XRVx97RdLbMnz+fuXPnlvnZrl278PDwKPf7WjRd9XH2aDpjejq28wQH3XMP27dupbd1XEMhQEryUMrZ8mI0L5QIMnO/ll0qjw8FzORddOg4SQtiGMr8/VMYeSiPMU+/z9PJXxB/CX4CegItgHtvboGWYEYZ68YPMDU+Sgrgza2Rvi35+Yz68EOHOiKoRD8jBwUwOBva2HQ14PeojCZOnMiqVauYPHkyJ06cID09nZEjR/L2229XuvDWlFH1KUsZnTx5kp9++omLFy9iNptxd3dnzJgxdOjQwaG/Izc3lwsXLhAUFISXlxfDhg1jy4IFBHTpwk2jkTxg4ZYtNAe+Tk2lACh0ccGcn08KShjuCBQH4YvimKSafhKlDHZFcSLllQAGJDcppBlneIIzAKRNhy3q53ko4iILpdeSh7pUROcJEwjt378ql6RaVGoEht8B9cIZacqo6thTGa1fv57x48cDigO+ceNG0QvCxo0b2bVrV5VUhKaMqs+mTZvw8fEhIyODbdu2cfjwYeLj4zlx4gRhYWG4urpy48YNhg8fzu7du5kyZQpjx44lJCSEkJAQzGYzXl5e1VZWmzZtIj09nSlTpvD4448TERFBWloaRqOR7Rs2IIC7hg7l70OHch54+bnn2P3994y7914OLFqEd6tWXD91ClCm20lHcRJJwFWdC+l/6I1I2MeDpnzcUPqFxAE5gIFbSsoqFvTAFRTnEgTsUfN5q/ugNGJfUL9zDriJooqkulhtyUVRSs8CgaGhjFm6tFrXqKpU2M+onk2SV13qhTPSlFHVsZcyklJy6tQpoqKiWLp0KefPny/2+ZYtW5g5c2aVjqkpo+JIKUlNTcXHxwdvb+9in5lMJuLj40lISCAnJ4fdu3eTm5vLuHHjCAkJYdq0aQQGBhYbVd3T05Ndu3YhpWT37t1kZGRw7Ngxvv/+ewwGAzdv3uTmzZvW6FUuXbpE37596dOnD3q9nrCwsGKO+NtvvyU+Ph6LxUKzZs0YNWoU+fn5uLgULz7SFi4kAIj+73951ceHcGDo0KHsBloOHsyBRYsICA8vckZ6FIdRZLmlAP4XV+yYTdWlphSi9B/xLSfPWRTntFkIeg0cyIpPPsFsNhMQEEBaWhru7u6MGzeuUtOkVIVylRHUu0nyqku9cEaaMqo61VFG169f59KlSzRv3pyIiAiaNm2Kj48P7dq1Y/v27cVG9AYwGo188cUXvPfee1WyzVmVkZSS/fv389577zFq1KgyZ+g0m824uLggpUSn05Gdnc1HH33EokWLePvttwkODiY4OJj8/Hxyc3Np3bo1rq6uxc5hMpn44Ycf+O677/D09CQ7O5suXbpw9uxZzp8/z759+zAYDLzxxhusXbuWBx54gKlTp+Ln50dmZmZRNN3o0eX3PRRClJow8XZs3bqVPXv2IKWkXbt2zJkzh5CQEE6ePElCQgI7d+6s0EEn5ecT1LIlAPnZ2aDXU6BO2HfHyJEA+IWFcQbQe3hQmFt7r/zngWaU74xaqcv9Gzbg3rEjZrOZK1eukJ2dzX333UdOTg4LFy7k5s2b6PV6PDw86Nq1K2PHji3lmKtCucoIbsm33zj1whlpyqjqVFUZFRYWMnnyZL7++msAZs6cyb/+9S/8/f2ZO3cu27ZtIzw8vNh3fHx8aNKkCUajkcaNG1f6XHWljPLz8zl16hQ7d+4kOzub3NxckpKSaNOmDQUFBZhMJvbs2UN2djaDBw9myJAhZGdnk5+fz/Hjx+nXrx/Jycno9Xratm1LXl4ep06dIjIykpkzZ5KVlYVOp2P//v0sXryYhx9+mPj4eEJCQkhNTWXNmjW4u7sTGRlJv379eO2110pNWCil5McffyQhIYEVK1awYsWKYlVqjoqmGzFiRNF2SEhIkVOKiopC7XlfLh9060YYMCM+viit/b33cmDZMgBcVccu1QFoG3fqRPq+fXb8BeUTgqKMKmLKvn0073X7SOgFCxYUbVssFlauXEnPnj0ZNGgQZ8+eJTw8nLy8PNLS0njppZfo0KFDheesUBn9TqgXzkhTRgpSSpKTkzl69Ch5eXlcv34dg8GAxWLhzjvvLDbKdlWV0bVr14iNjS3anzJlCgEBSlzU/Pnzy/yOEIK5c+dy8ODBKjm+2lJGUkpSUlJIS0tjxIgRDB8+nNDQUJ544gkMBgN+fn5lvu3bo5/Ro48+Wipt9erVFX5PCMGQIUMYMmRImZ/XRjRdVat3CwsKSD98mPOenmRlZbFn1iwAIr/8knc6diyWt4E61YibutZ7elJYC6OQV0YZTY6NLdcRlUSn0zF58mQmT54MKP3nGjZsSGZmJgcPHmTFihUAvPXWW5w4caJUzYKV8pXR7yecrl44o/qojPLz80lPTycwMLBGEt6W/v37YzKZWLx4Me7u7nh6elJQUIBOpyMmJoaVK1cWFa4ZGRlcuHCBF154gYYNG+Lv78/IkSOL2hZyc3NZtWoV//d/yhCBd911F5MmTSI2NhaLxUKnTp2oTIfosWPHEhUVVaUCzFHKyGg0smTJErKzlRBgs9lMq1atCA4OZsmSJYwbN65Sb/n1LZqurnlVVXcvbt6Mv78/a5cvL/osK7H4VA2+LVoAcOX4cQAMAQHcrAVnVJ4y8gwO5vHERAxeldFOt8c663HTpk0ZOXIkI0eOJDY2lujo6HI7KZevjH4/EQz1whk5szKKjY0lPDycy5cvU1BQgJubG2azmenTpzNo0CBMJhMuLi5FnwFFhXyDBg0wmUx4eHhgNpvp2LEjer2eZs2aERERUep8r7zyCkOHDmXq1Kml3qbatm1bbN86AsMrr7xCTk4OqampvPjii7i6ulJYWIjZbKZBgwYsW7aM5cuX89prrxEREYHRaOTYsWOVns/n7rvv5tVXX63SdbOHMjKZTERHR3Pjxg28vb3x9PTk7NmzzJo167ZTpFcWZ4+mc6Z+RsuHDMGSl8fQ6Gi27dhBzrFjAPzxnXeUDFLiEXCr51Hzfv0AyM3KAuCmdWQVDw9wYBvS7ZTRqCVL6BEVZbfzxMXF0V8NB582bRqXLl0iLy+v6Nkvi4qVkXNNBugo6oUzqm1llJ+fT2xsLNeuXUOn0+Hp6YmXlxe5ublFUUpXryqd43Jycli6dClNmjRBr9dTWFiIi4sLy5cvp4X6FlgWFosFk8mEq6srubm56HQ6kpKSyM/P59ChQ/Tu3RuAp59+GoPBgNlsLupMWpm3dmubkRACb29v2rdvz5IlS8rM+/e//71o28/Pj4EDB1bqOiUmJnLkyBH271eGK+nevXulZnytqTJKTU0lMTGRuXPnYrFYuHjxIgUFBeVe76qgKaPKsW7iRFJ+/JHgvn0Z8MwzFOzcyZa77sIT6DN9OpdU9TN+3TqyL10CILB9e+XLZjNeoaHkpKTg7u+PKTPTobaWVEbdpk5lzEfVmmeuTBYtWlQ0B9e9997LunXrKn0PVayMnPNl3N7UC2dUG8po1apVbN26ldWrVzNv3jx8fX254447CAwMJCcnh8uXL+Pp6ckLL7xQVO1mHZvuySefrPL5dDpdkZO1RltZb8pevXoxceJEsrKySr3lz5s3r1LHd+QIDFY6dOjA9evXuXLlCgcPHmTx4sVcv34dgKCgIMaOHUtQUFCpqrHqKCOLxUJCQgJ79+5l5syZ3HPPPRiNRoQQNG9e3kzJVUdTRhXz8Z13cnHvXoJ69iQqTgnHfu2++2gLzFBfTpbceScAYQMHssm2DU2vh8JC7v/iC5b37cvk2Fg+DA+nxbBhnNuxAxdvbwrU+8heWJVRn/HjuX/NGnR2qjq3YnVETz31FL6+vlV6malYGWnVdE6Dq6srWVlZNGrUqFJ1/mUhpSQ2NpZZs2Zx1113cfLkScLDwzl79iyrVq0C4N133+Wzzz6r4Ei3cGQ0ncFgqFF1U23OZ2Q9l+35Lly4wNdff01aWhoLFixg9uzZjBo1CldXVywWS7HoLSllqf81PT2db775hvPnz5Ofn4+bmxu9evXiwQcf5Iknnqj2fVAZNGV0e66cPs0HXbpQaDLR7R//YMzixQCsHT+eoKwsuowcSfOePcm9do3CGzcIUqubj69ZU3QMF3d3Cm7cILRPHwDWT5gAej3nduxA7+mpOCKdDuw09bt/ly7MnDWL8H79CA0NtcsxS9KnTx/i4+OZMGFC0UvSnDlzEELg4eGBxWLB1dUVg8GAu7s7AQEBtGrVigYNGlQQiapV0zkVRqORlStXEhMTQ9euXYsKCttCzHZbCFHULmPbCB8aGkpMTEypWUtXrlxZLbt+a/2M7ElwcDCPPfYYAC+//DJHjx4lJSWFgoICrly5wgcffFDqjdD2v8zMzCQyMrIowKI20ZRRaXKvXWP5gAFkHDuGzt2dx06cwP+OOwBY0q8fqXv2kBkczB8WLgQg2t8fgP/buxeAPKMR1BoAN29vCqxBC0KQeeQIUXv3srR3b9qNGUPi6tU1ckTCYCCkd28Gz59Pq8GDAXjzzTfxSklxmDPas2cPv/zyC9988w0BAQF0796defPmYbFYyM3NRa/Xk5+fT15eHiaTiYyMDJKSksjNzWX37t3lHFkLYHAqAgICmDFjRpEUrghr47sQwqFv0L+lfkaORAhBly5d6NKlC6BU0wUGBjpdp1crmjK6xa/bt/PtI49gPHMGncHAPW++SV91xI2MxEQ+7NmTwtxcekybxqDISPz9/Xm3UycoKGC0Gtp8U21fHfD88wC42tjf95ln2BMdTWDnzhgaNSJx9WombN3K5yNGIBo0QJpMYLGgc3PDYjbfUkw6nTLoql5Pkw4daDl4MO3HjqV5RARuZVyffv361TiwpSLCw8OL+uJNnToVoKjNGcDd3b1ohI3g4GC6d+8OQOfOnVmsKszSaM7Iqahqm1FtFSSaMqoezjoCg5XfszKSFgu/fP01exct4uK+fRSYzfiEhPDA5s20+9OfAKWqbtWIERiTknDx8mL66dM0btOG2bNn892kSbifP0/XyZPprva/eVNVI0PV/mrC5rre88Yb7ImOZlHbtjyflcU8Ifhi9GjGr1/Puvvuo/24caTu24ehYUNaDBiAOSeHsLvvJrBLF5p07Ii+nCg1W+Li4oiIiHCYMqoJWj8jhXrhjOpjP6O6xpmUUUm0semqjyOU0fEvv+SXdetI3buXm+np6Fxd8W3dmrsXLqTXtGlF12LnvHnsfe89cjMzMfj4MH7tWjrefz8AmSdPkvr66wQUFjI0OpoB6oSTGYmJFOTk0Omhh4rO5xsSglEdnw4guH9/co1GAB45fpy46Gg6jhtH2NWrCCFw9/Gp8W+sDWVUXbR+Rgr1whk5cz8jTRlVHU0ZVR9HKKP977+PwceHPv/8J50iI/EKDCyVx1JYyImvviJ0wABGvPMOPiUiGK+lpHDJ358ZGzfSTe2WANAwOJi7Xn6ZgbNnF6VN3rGDQrO5aD/Kps2kSXg4Y9XqPQ/f8sZLqBr1Wxlpzshp0JRR1dGUUfX5vSmjyT/+WGEenV7PtHIKzdZ3381zn39O8xJD3hi8vYs5IiuVrV6zF/VXGf1+qulq/MQJIWYIIY4JIY4LIWaqaX5CiO+FEKfVdSM1XSeE+FQIESeE6KimNRBCfCaEOKoeZ7cQoti4HM6ujJwRqzJyRqzKyFlZu3ZtpUegqG02bdrEjVoYPqc67Nixg0wHd16tLnFxcaSkpNS1GWVSvjKyVtNVd6k/1MgZCSE6AVOB3kBX4M9CiDbA88APUsq2wA/qPsA9QAJwL/CUmjYDuCyl7Cyl7AREUeJVQFNGVUdTRtXn96aM7MWwYcPwV0O6nY1+DuxjVFMqVkYFNVjKRwgxXAhxUgjxqxDi+TI+NwghvlA/TxBCtKzCT6sSNX3iOgAJUsqbUsoC4H/AOGAM8Ima5xNgrLqtR3H1FsAacx0EpFoPKKU8KaUsNtGupoyqjqaMqo+mjKqHpoyqR10pIyGEHngPZfb3cOABIUR4iWxRwFUpZRvgTeCNKvy0KlFTZ3QM+IMQorEQogEwEmUYqEApZZqa5xJgbRH9DhgEbAT+q6YtA54TQuwRQrwihCg+4ieaMqoOmjKqPpoyqh6aMqoelYumc0g1XW/gVynlGSmlGfgcRUjYYiss1gFDhYM6b9boiZNSJqJ4yu3ANuAQJSbJlcoQCFLdLpBSTpBS9pVSHlXTDgFhwL8BP2CfEKLYjFRJSUlkZ2fTt29fp1oPHz6cHTt21LkdZa3PnTvHpEmT6tyOstYDBw7kyy+/rHM7brf+xz/+gdForHM7ylqvX7+eQYMG1bkdZa0feughkpOT69yOstYxMTGMGDGizu0oax0ZGVleKYvSalHdpVyaowzbZ+WCmlZmHrX26xpQ+Zk0q4CozJw1lT6YEK+i/KAZwGApZZoQIgjYKaW8o5LHeBc4K6X8j01aBnDOboZqaGhoOBctpJQBJROFENuAmshNd8Bks/+RlPIj9djjgeFSyinq/kTgTinldJvzH1PzXFD3k9Q8dq+PrXFotxCiiZQyXQgRitJe1AdlKvnJwOvq+rYNBEKI/sAvUsqrQgg3lLrLnbZ5yvqTNDQ0NH7rSCmHO/DwqSjNKlaCsWm/L5HnghDCBfABrjjCGHv0M1ovhGiMogkfk1IahRCvA2uFEFEoiuYv5Xy/NfCBWg+pA74F1tvBLg0NDQ2N27MPaCuEaIXidCYAfy2RZyOKoNgDjAdipD2r02yRUtbZApxCaaEz2aRFAtdRWt9uAH9T0wVKm5RZ/eyvNt/5BmUGqreqaccyIB04ZpP2MnBEPed2oJmaPhil3vSQusyx+c4E4CAwU92fYWsT8CGww2b/cWBRFeycgRI0ctzmHH7A98Bpdd1ITdcBnwJxQEc17Wegm7rtAuQAD9kc/wDQowb/p149x2Z1fwVw1uZadasr2yph+3DgJPAr8Lya1hHlIfwE0NXC81CT61fyvjwEDLOjbTW99+xmHw56XtW0ZOCoTf5KP59l2OkU5VsFNo5U7UwCXlDT5gOj1W134Ev1udgLhDns/nfUgSt5IaajeGLbPysTeFHdngMYbbYz1D8tCshR0wPVG8gApFXTjoFAjxI3d0Ob7SeAxTY39+bbHOcblALlc5SJJXsBe20+j0d5G9Gr+2uACZW0sRNKYdAApbDeAbQBorlVeD4PvKFuDwceU6/PMjXtXeBRdbun+iC+r+57AkarbdW8jk8CqylemI4vI1+t21aB3Xr1YQwD3IDDKNXFS4EAlJeG4bXwPNTk+t32vrSDXfa49+xmn6OeVzUtGfC3k51OUb7Vl6VO41ellO8CZQX/W6M1AlAKIVDeYj6XCksBNyFEV25FBFa7Y4iUMhbIKpGWbbPriRoRWAHWkEfJrTeddkIIDyGED8obzyGgs5qvH/BTJc20R5+uOPWc1nMvBrqp+72BA1LKYtGQlUUIEQz8CSh7bvPi1KptleB2Ia56lLDU2asAAAOtSURBVP/S1k6HYIfr50jsce/ZDQc+r3bFWcq3+oIzdqaYDEwXQhQAj3KrDrMx8ItNvhygi1T6M51AkeJ2bWsSQiwQQpwHHkR5c7HSVwhxWAix1TqskcpXwH5gv5Tyuvrg/gxEoAR2JKCoo35CiOYo0Yy2oZXlYY8+XT9RvMCPBfKEEN7qflwlbSmLt4BnKf3QLBBCHBFCvCmEMNSRbRVxuxDXt1HaMPuiVP04kppeP1Duj0M2S2s72WaPe8+R9gE1f15t0n+0sfGf9rQRJyrfnI66lmbAAIrL2EPAv9XtN4Er6vZl4BGbfFnARDva0RIb2V/is1nAPHW7Ibck/UjgdAXHXYBShTEP5U0yHFgF3I/yJlQVG6NQ2k5igQ9QCjBjiTxXKzjGBaApipMUKFUtw1AK3WpVRQF/5laV2mBuVTMFqecwoLw5z6lt2ypp/3hgic3+ROBdR9739r5+OLCazh73nr3tc+DzmoydqunU4zlF+VYfFmdURl1R3hBBqUP3U7evoBTkVrxQGixrg8+A+0CpDpBS5qjbWwBXIUR5/QCsb/x9URrDE1F+R5Xf9qWUS6WUPaWUA4GrKA2Pl9W+XKjr9AoOE4fiCNOkctfHA/1Rqqr2VMUeG/oDo4UQyShVXEOEEKuklGlSIQ9Yrp6jtm2rDJUJcXUk9rp+DsNO915tUZPn1dE4Y/nmFDijMzKjRO6AMpiqdWC6tcAEoRAFmKWU5Q3qVCNKDEs0BkUqI4Roah0OQwjRG+Ualhd3vwelii5ASpmuFrIZ6jEr215ktamJurb26VrNrdBLqKBPl0ocMJNbhfseYBJwSUp5rSr2WJFSzpJSBkspW6LUfcdIKR+yKagESnvCsdq2rZIUhbiqfd0moFzXWsGO189h2Onecxh2fF4djVOUb05JXcoylD5IhdwamnY58AhKyGMuSr3pg2pegRJymY/So9ieVXRrgDT12BdQqiTWozz8R4BNQHM173SU8NbDqO0/lTj+cWCVzf5L6m9zqaKdu1DqlQ8DQ9W0xigjo59GiXLyq+AYEer1HmaTlgx8aKdrOZhb1Uwx6n92DKVq0qsubavg3KVCXOtiqe71o+zQ6VKReDWwq0b3nj3tc+TzSunQ7k9rcM2conyrL4tdhwPS0NDQ0NCoDs5YTaehoaGh8TtDc0YaGhoaGnWO5ow0NDQ0NOoczRlpaGhoaNQ5mjPS0NDQ0KhzNGekoaGhoVHnaM5IQ0NDQ6PO0ZyRhoaGhkad8/9r5d/w72AifQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ot1vYf3hPHU0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        },
        "outputId": "fb249a24-227e-4070-8b37-890980092078"
      },
      "source": [
        "import os\n",
        "\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.basemap import Basemap\n",
        "import numpy as np\n",
        "import h5py\n",
        "\n",
        "FILE_NAME = 'Indian_sub_main_OMI-Aura_L2-OMSO2_2020m0913t0801-o85978_v003-2020m0913t204704.he5'\n",
        "path = '/HDFEOS/SWATHS/OMI Total Column Amount SO2/Data Fields/'\n",
        "DATAFIELD_NAME = path + 'CloudFraction'\n",
        "with h5py.File(FILE_NAME, mode='r') as f:\n",
        "    dset = f[DATAFIELD_NAME]\n",
        "    data =dset[:].astype(np.float64)\n",
        "\n",
        "    # Retrieve any attributes that may be needed later.\n",
        "    # String attributes actually come in as the bytes type and should\n",
        "    # be decoded to UTF-8 (python3).\n",
        "    #scale = f[DATAFIELD_NAME].attrs['ScaleFactor']\n",
        "    #offset = f[DATAFIELD_NAME].attrs['Offset']\n",
        "    missing_value = f[DATAFIELD_NAME].attrs['MissingValue']\n",
        "    fill_value = f[DATAFIELD_NAME].attrs['_FillValue']\n",
        "    title = f[DATAFIELD_NAME].attrs['Title'].decode()\n",
        "    units = f[DATAFIELD_NAME].attrs['Units'].decode()\n",
        "\n",
        "    # Retrieve the geolocation data.\n",
        "    path = '/HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/'\n",
        "    latitude = f[path + 'Latitude'][:]\n",
        "    longitude = f[path + 'Longitude'][:]\n",
        "\n",
        "    data[data == missing_value] = np.nan\n",
        "    data[data == fill_value] = np.nan\n",
        "    #data = scale * (data - offset)\n",
        "    datam = np.ma.masked_where(np.isnan(data), data)\n",
        "\n",
        "    # Draw an equidistant cylindrical projection using the low resolution\n",
        "    # coastline database.\n",
        "    m = Basemap(projection='cyl', resolution='l',\n",
        "                llcrnrlat=-90, urcrnrlat = 90,\n",
        "                llcrnrlon=-180, urcrnrlon = 180)\n",
        "    m.drawcoastlines(linewidth=0.5)\n",
        "    m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0])\n",
        "    m.drawmeridians(np.arange(-180, 180., 45.), labels=[0, 0, 0, 1])\n",
        "    m.scatter(longitude, latitude, c=datam, s=1, cmap=plt.cm.jet,\n",
        "             edgecolors=None, linewidth=0)    \n",
        "    cb = m.colorbar()\n",
        "    cb.set_label(units)\n",
        "\n",
        "\n",
        "    basename = os.path.basename(FILE_NAME)\n",
        "    plt.title('{0}\\n{1}'.format(basename, title), fontsize=8)\n",
        "    fig = plt.gcf()\n",
        "    #pngfile = \"{0}.py.png\".format(basename)\n",
        "    #fig.savefig(pngfile)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ojHRRZbeQ4Z2"
      },
      "source": [
        "import os\n",
        "\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.basemap import Basemap\n",
        "import numpy as np\n",
        "import h5py"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6lwv4zNJRB9W"
      },
      "source": [
        "FILE_NAME_1 = 'Indian_sub_main_OMI-Aura_L2-OMSO2_2020m0913t0801-o85978_v003-2020m0913t204704.he5'\n",
        "path_1 = '/HDFEOS/SWATHS/OMI Total Column Amount SO2/Data Fields/'\n",
        "f1 = h5py.File(FILE_NAME_1, mode='r')\n",
        "DATAFIELD_NAME_1 = path_1 + \"CloudFraction\"\n",
        "dset1 = f1[DATAFIELD_NAME_1]\n",
        "data1 = dset1[:].astype(np.float64)\n",
        "\n",
        "# Retrieve any attributes that may be needed later.\n",
        "# String attributes actually come in as the bytes type and should\n",
        "# be decoded to UTF-8 (python3).\n",
        "#scale = f[DATAFIELD_NAME].attrs['ScaleFactor']\n",
        "#offset = f[DATAFIELD_NAME].attrs['Offset']\n",
        "\n",
        "missing_value = f1[DATAFIELD_NAME_1].attrs['MissingValue']\n",
        "fill_value = f1[DATAFIELD_NAME_1].attrs['_FillValue']\n",
        "title = f1[DATAFIELD_NAME_1].attrs['Title'].decode()\n",
        "units = f1[DATAFIELD_NAME_1].attrs['Units'].decode()\n",
        "\n",
        "latitude1 = f1['HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/' + 'Latitude'][:]\n",
        "longitude1 = f1['HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/' + 'Longitude'][:]\n",
        "\n",
        "data1[data1 == missing_value] = np.nan\n",
        "data1[data1 == fill_value] = np.nan\n",
        "#data = scale * (data - offset)\n",
        "datam1 = np.ma.masked_where(np.isnan(data1), data1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0FynPKJ8VGzm"
      },
      "source": [
        "FILE_NAME_2 = 'Indian_sub_NE_OMI-Aura_L2-OMSO2_2020m0913t0622-o85977_v003-2020m0913t204658.he5'\n",
        "path_2 = '/HDFEOS/SWATHS/OMI Total Column Amount SO2/Data Fields/'\n",
        "f2 = h5py.File(FILE_NAME_2, mode='r')\n",
        "DATAFIELD_NAME_2 = path_2 + \"CloudFraction\"\n",
        "dset2 = f2[DATAFIELD_NAME_2]\n",
        "data2 = dset2[:].astype(np.float64)\n",
        "\n",
        "# Retrieve any attributes that may be needed later.\n",
        "# String attributes actually come in as the bytes type and should\n",
        "# be decoded to UTF-8 (python3).\n",
        "#scale = f[DATAFIELD_NAME].attrs['ScaleFactor']\n",
        "#offset = f[DATAFIELD_NAME].attrs['Offset']\n",
        "\n",
        "missing_value = f2[DATAFIELD_NAME_2].attrs['MissingValue']\n",
        "fill_value = f2[DATAFIELD_NAME_2].attrs['_FillValue']\n",
        "title = f2[DATAFIELD_NAME_2].attrs['Title'].decode()\n",
        "units = f2[DATAFIELD_NAME_2].attrs['Units'].decode()\n",
        "\n",
        "latitude2 = f2['HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/' + 'Latitude'][:]\n",
        "longitude2 = f2['HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/' + 'Longitude'][:]\n",
        "\n",
        "data2[data2 == missing_value] = np.nan\n",
        "data2[data2 == fill_value] = np.nan\n",
        "#data = scale * (data - offset)\n",
        "datam2 = np.ma.masked_where(np.isnan(data2), data2)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7_cXNGbYTM7I",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        },
        "outputId": "c434ff78-e464-4f75-ea9d-52d88b2a754c"
      },
      "source": [
        "m = Basemap(projection='cyl', resolution='l',\n",
        "                llcrnrlat=-90, urcrnrlat = 90,\n",
        "                llcrnrlon=-180, urcrnrlon = 180)\n",
        "m.drawcoastlines(linewidth=0.5)\n",
        "m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0])\n",
        "m.drawmeridians(np.arange(-180, 180., 45.), labels=[0, 0, 0, 1])\n",
        "m.scatter(longitude1, latitude1, c=datam1, s=1, cmap=plt.cm.jet,\n",
        "             edgecolors=None, linewidth=0)   \n",
        "m.scatter(longitude2, latitude2, c=datam2, s=1, cmap=plt.cm.jet,\n",
        "             edgecolors=None, linewidth=0)    \n",
        "cb = m.colorbar()\n",
        "cb.set_label(units)\n",
        "\n",
        "\n",
        "basename = os.path.basename(FILE_NAME_2)\n",
        "print(type(basename), basename)\n",
        "new_name = \"Indian Subcontinent Data\"\n",
        "plt.title('{0}\\n{1}'.format(new_name, title), fontsize=8)\n",
        "fig = plt.gcf()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'str'> Indian_sub_NE_OMI-Aura_L2-OMSO2_2020m0913t0622-o85977_v003-2020m0913t204658.he5\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tfvBJ3-6VBIj"
      },
      "source": [
        "pngfile = \"{0}.py.png\".format(new_name)\n",
        "fig.savefig(pngfile, quality = 95, dpi = 300)\n",
        "#https://earthdata.nasa.gov/earth-observation-data/near-real-time/hazards-and-disasters/air-quality"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZkMV28hxPcY6"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "60CNq92FomIO"
      },
      "source": [
        "#Online data scraping script"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9YbyyI5Kopps"
      },
      "source": [
        "OMI-Aura_L2-OMSO2_2020m0914t0705-o85992_v003-2020m0915t204042.he5\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9oRz-LpWgHxt"
      },
      "source": [
        "FILE_NAME_2 = 'OMI-Aura_L2-OMSO2_2020m0224t0541-o83035_v003-2020m0224t203659.he5'\n",
        "f1 = h5py.File(FILE_NAME_2, mode='r')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IA406SI2hXbc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 496
        },
        "outputId": "1b6a44b8-946c-4eb5-f875-6150efc2d77e"
      },
      "source": [
        "\n",
        "!wget --user c3wiz --password Password@123 https://aura.gesdisc.eosdis.nasa.gov/data/Aura_OMI_Level2/OMSO2.003/2020/055/OMI-Aura_L2-OMSO2_2020m0224t0541-o83035_v003-2020m0224t203659.he5"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-09-23 09:50:24--  https://aura.gesdisc.eosdis.nasa.gov/data/Aura_OMI_Level2/OMSO2.003/2020/055/OMI-Aura_L2-OMSO2_2020m0224t0541-o83035_v003-2020m0224t203659.he5\n",
            "Resolving aura.gesdisc.eosdis.nasa.gov (aura.gesdisc.eosdis.nasa.gov)... 198.118.197.53, 2001:4d0:241a:4041::53\n",
            "Connecting to aura.gesdisc.eosdis.nasa.gov (aura.gesdisc.eosdis.nasa.gov)|198.118.197.53|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://urs.earthdata.nasa.gov/oauth/authorize/?scope=uid&app_type=401&client_id=e2WVk8Pw6weeLUKZYOxvTQ&response_type=code&redirect_uri=https%3A%2F%2Faura.gesdisc.eosdis.nasa.gov%2Fdata-redirect&state=aHR0cHM6Ly9hdXJhLmdlc2Rpc2MuZW9zZGlzLm5hc2EuZ292L2RhdGEvQXVyYV9PTUlfTGV2ZWwyL09NU08yLjAwMy8yMDIwLzA1NS9PTUktQXVyYV9MMi1PTVNPMl8yMDIwbTAyMjR0MDU0MS1vODMwMzVfdjAwMy0yMDIwbTAyMjR0MjAzNjU5LmhlNQ [following]\n",
            "--2020-09-23 09:50:25--  https://urs.earthdata.nasa.gov/oauth/authorize/?scope=uid&app_type=401&client_id=e2WVk8Pw6weeLUKZYOxvTQ&response_type=code&redirect_uri=https%3A%2F%2Faura.gesdisc.eosdis.nasa.gov%2Fdata-redirect&state=aHR0cHM6Ly9hdXJhLmdlc2Rpc2MuZW9zZGlzLm5hc2EuZ292L2RhdGEvQXVyYV9PTUlfTGV2ZWwyL09NU08yLjAwMy8yMDIwLzA1NS9PTUktQXVyYV9MMi1PTVNPMl8yMDIwbTAyMjR0MDU0MS1vODMwMzVfdjAwMy0yMDIwbTAyMjR0MjAzNjU5LmhlNQ\n",
            "Resolving urs.earthdata.nasa.gov (urs.earthdata.nasa.gov)... 198.118.243.33, 2001:4d0:241a:4081::89\n",
            "Connecting to urs.earthdata.nasa.gov (urs.earthdata.nasa.gov)|198.118.243.33|:443... connected.\n",
            "HTTP request sent, awaiting response... 401 Unauthorized\n",
            "Authentication selected: Basic realm=\"Please enter your Earthdata Login credentials. If you do not have a Earthdata Login, create one at https://urs.earthdata.nasa.gov//users/new\"\n",
            "Reusing existing connection to urs.earthdata.nasa.gov:443.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://aura.gesdisc.eosdis.nasa.gov/data-redirect?code=6212524b5818db081dbfabdf4bd819e7a7663067fedbb2fc11c4dd19e9ded6e1&state=aHR0cHM6Ly9hdXJhLmdlc2Rpc2MuZW9zZGlzLm5hc2EuZ292L2RhdGEvQXVyYV9PTUlfTGV2ZWwyL09NU08yLjAwMy8yMDIwLzA1NS9PTUktQXVyYV9MMi1PTVNPMl8yMDIwbTAyMjR0MDU0MS1vODMwMzVfdjAwMy0yMDIwbTAyMjR0MjAzNjU5LmhlNQ [following]\n",
            "--2020-09-23 09:50:28--  https://aura.gesdisc.eosdis.nasa.gov/data-redirect?code=6212524b5818db081dbfabdf4bd819e7a7663067fedbb2fc11c4dd19e9ded6e1&state=aHR0cHM6Ly9hdXJhLmdlc2Rpc2MuZW9zZGlzLm5hc2EuZ292L2RhdGEvQXVyYV9PTUlfTGV2ZWwyL09NU08yLjAwMy8yMDIwLzA1NS9PTUktQXVyYV9MMi1PTVNPMl8yMDIwbTAyMjR0MDU0MS1vODMwMzVfdjAwMy0yMDIwbTAyMjR0MjAzNjU5LmhlNQ\n",
            "Connecting to aura.gesdisc.eosdis.nasa.gov (aura.gesdisc.eosdis.nasa.gov)|198.118.197.53|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://aura.gesdisc.eosdis.nasa.gov/data/Aura_OMI_Level2/OMSO2.003/2020/055/OMI-Aura_L2-OMSO2_2020m0224t0541-o83035_v003-2020m0224t203659.he5 [following]\n",
            "--2020-09-23 09:50:29--  https://aura.gesdisc.eosdis.nasa.gov/data/Aura_OMI_Level2/OMSO2.003/2020/055/OMI-Aura_L2-OMSO2_2020m0224t0541-o83035_v003-2020m0224t203659.he5\n",
            "Connecting to aura.gesdisc.eosdis.nasa.gov (aura.gesdisc.eosdis.nasa.gov)|198.118.197.53|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 20007705 (19M) [text/plain]\n",
            "Saving to: ‘OMI-Aura_L2-OMSO2_2020m0224t0541-o83035_v003-2020m0224t203659.he5’\n",
            "\n",
            "OMI-Aura_L2-OMSO2_2 100%[===================>]  19.08M  4.00MB/s    in 9.3s    \n",
            "\n",
            "2020-09-23 09:50:39 (2.05 MB/s) - ‘OMI-Aura_L2-OMSO2_2020m0224t0541-o83035_v003-2020m0224t203659.he5’ saved [20007705/20007705]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vURFALBdiG6s"
      },
      "source": [
        "import os\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.basemap import Basemap\n",
        "import numpy as np\n",
        "import h5py\n",
        "\n",
        "def file_process(file_path):\n",
        "  FILE_NAME_1 = file_path\n",
        "  path_1 = '/HDFEOS/SWATHS/OMI Total Column Amount SO2/Data Fields/'\n",
        "  f1 = h5py.File(FILE_NAME_1, mode='r')\n",
        "  DATAFIELD_NAME_1 = path_1 + \"ColumnAmountSO2\"\n",
        "  dset1 = f1[DATAFIELD_NAME_1]\n",
        "  data1 = dset1[:].astype(np.float64)\n",
        "\n",
        "# Retrieve any attributes that may be needed later.\n",
        "# String attributes actually come in as the bytes type and should\n",
        "# be decoded to UTF-8 (python3).\n",
        "#scale = f[DATAFIELD_NAME].attrs['ScaleFactor']\n",
        "#offset = f[DATAFIELD_NAME].attrs['Offset']\n",
        "\n",
        "  missing_value = f1[DATAFIELD_NAME_1].attrs['MissingValue']\n",
        "  fill_value = f1[DATAFIELD_NAME_1].attrs['_FillValue']\n",
        "  title = f1[DATAFIELD_NAME_1].attrs['Title'].decode()\n",
        "  units = f1[DATAFIELD_NAME_1].attrs['Units'].decode()\n",
        "\n",
        "  latitude1 = f1['HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/' + 'Latitude'][:]\n",
        "  longitude1 = f1['HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/' + 'Longitude'][:]\n",
        "\n",
        "  data1[data1 == missing_value] = np.nan\n",
        "  data1[data1 == fill_value] = np.nan\n",
        "#data = scale * (data - offset)\n",
        "  datam1 = np.ma.masked_where(np.isnan(data1), data1)\n",
        "\n",
        "  return latitude1, longitude1, datam1\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rCSYKuOGjO6Z"
      },
      "source": [
        "def create_img(file_list, length, date):\n",
        "  lat = []\n",
        "  longi = []\n",
        "  data = []\n",
        "  for i in range(length):\n",
        "    temp_lat, temp_long, temp_data = file_process(file_list[i])\n",
        "    lat.append(temp_lat)\n",
        "    longi.append(temp_long)\n",
        "    data.append(temp_data)\n",
        "  m = Basemap(projection='cyl', resolution='l',\n",
        "                  llcrnrlat=0, urcrnrlat = 45,\n",
        "                  llcrnrlon=50, urcrnrlon = 100)\n",
        "  m.drawcoastlines(linewidth=0.5)\n",
        "  m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0])\n",
        "  m.drawmeridians(np.arange(-180, 180., 45.), labels=[0, 0, 0, 1])\n",
        "  for i in range(length):\n",
        "    m.scatter(longi[i], lat[i], c=data[i], s=1, cmap=plt.cm.jet,\n",
        "                edgecolors=None, linewidth=0)  \n",
        " \n",
        "  cb = m.colorbar()\n",
        "  cb.set_label('Vertical Column Amount SO2 in PBL(DU)')\n",
        "\n",
        "  title = \"Effectice Cloud Fraction (from OMCLDRR)\"\n",
        "#basename = os.path.basename(FILE_NAME_2)\n",
        "#print(type(basename), basename)\n",
        "  new_name = str(date) + \"_SO2\"\n",
        "  plt.title('{0}\\n{1}'.format(new_name, title), fontsize=8)\n",
        "  fig = plt.gcf()\n",
        "  pngfile = \"{0}.png\".format(new_name)\n",
        "  fig.savefig(\"/content/SO2_image_data/\"+ pngfile, quality = 95, dpi = 300)\n",
        "  plt.close()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rWfp9XqNK3cc"
      },
      "source": [
        "!mkdir actual_data"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Tf9WL9aw1wm8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "f93e880f-9fbc-4b8d-9442-b8e54e67594a"
      },
      "source": [
        "%cd actual_data"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[Errno 2] No such file or directory: 'actual_data'\n",
            "/content/actual_data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UCcK0jefLP2j"
      },
      "source": [
        "#63.951, 0, 95.592, 40.078\n",
        "#71.33 GB data\n",
        "!wget --user c3wiz --password Password@123 -i /content/subset_OMSO2_003_20200923_122334.txt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ENGKCuS6K5wU",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "28380237-3a49-44f7-ae61-1b2386d14414"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "OMI-Aura_L2-OMSO2_2019m1225t0608-o82147_v003-2020m0223t133016.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1225t0746-o82148_v003-2020m0223t133015.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1226t0512-o82161_v003-2020m0223t133641.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1226t0651-o82162_v003-2020m0223t133638.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1226t0830-o82163_v003-2020m0223t133644.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1227t0555-o82176_v003-2020m0223t133611.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1227t0734-o82177_v003-2020m0223t133602.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1227t0913-o82178_v003-2020m0223t133615.he5\n",
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            "OMI-Aura_L2-OMSO2_2019m1231t0709-o82235_v003-2020m0223t134143.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1231t0848-o82236_v003-2020m0223t134142.he5\n",
            "OMI-Aura_L2-OMSO2_2020m0101t0435-o82248_v003-2020m0223t134928.he5\n",
            "OMI-Aura_L2-OMSO2_2020m0101t0614-o82249_v003-2020m0223t134917.he5\n",
            "OMI-Aura_L2-OMSO2_2020m0101t0753-o82250_v003-2020m0223t134915.he5\n",
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            "OMI-Aura_L2-OMSO2_2020m0105t0907-o82309_v003-2020m0223t135516.he5\n",
            "OMI-Aura_L2-OMSO2_2020m0106t0454-o82321_v003-2020m0223t135426.he5\n",
            "OMI-Aura_L2-OMSO2_2020m0106t0633-o82322_v003-2020m0223t135425.he5\n",
            "OMI-Aura_L2-OMSO2_2020m0106t0811-o82323_v003-2020m0223t135434.he5\n",
            "OMI-Aura_L2-OMSO2_2020m0107t0537-o82336_v003-2020m0223t135337.he5\n",
            "OMI-Aura_L2-OMSO2_2020m0107t0716-o82337_v003-2020m0223t135321.he5\n",
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            "OMI-Aura_L2-OMSO2_2020m0108t0441-o82350_v003-2020m0223t140149.he5\n",
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            "OMI-Aura_L2-OMSO2_2020m0624t0544-o84797_v003-2020m0624t202045.he5\n",
            "OMI-Aura_L2-OMSO2_2020m0624t0723-o84798_v003-2020m0624t203338.he5\n",
            "OMI-Aura_L2-OMSO2_2020m0624t0902-o84799_v003-2020m0624t202627.he5\n",
            "OMSO2Readme_V2.pdf\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Tz_z2qPa2Cj3"
      },
      "source": [
        "f = open(\"/content/subset_OMSO2_003_20200923_122334.txt\", \"r\").read()\n",
        "url_list = f.split()\n",
        "#len(url_list)\n",
        "#url_list[0][95:104]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aft5Epd9S1PV"
      },
      "source": [
        "url_list = clean_data(url_list)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZX-L4H31TMdY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "5e441fb4-127b-4224-f122-7c51a406c7f0"
      },
      "source": [
        "len(url_list)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "540"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IuiSUDEwrKWO"
      },
      "source": [
        "date_list = []"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZPRv9QC22xz3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "380a4e7f-afd2-4184-d036-6269b88c8bc0"
      },
      "source": [
        "c = 0\n",
        "flag = 0\n",
        "seq = url_list[0][18:27]\n",
        "while len(url_list) != 0:\n",
        "  for i in range(len(url_list)):\n",
        "    if seq in url_list[i]:\n",
        "      c += 1\n",
        "      if c == len(url_list):\n",
        "        flag = 1\n",
        "        date = \"-\".join([seq[0:4],seq[5:7],seq[7:9]])\n",
        "        create_img(file_list = url_list[:c], length = c, date = date)\n",
        "        date_list.append(date)\n",
        "    else:\n",
        "      date = \"-\".join([seq[0:4],seq[5:7],seq[7:9]])\n",
        "      create_img(file_list = url_list[:c], length = c, date = date)\n",
        "      date_list.append(date)\n",
        "      #for i in range(c):\n",
        "        #print(url_list[i])\n",
        "      url_list = url_list[c:]\n",
        "      seq = url_list[0][18:27]\n",
        "      c = 0\n",
        "      break\n",
        "  if flag == 1:\n",
        "    print(\"End of Sequence\")\n",
        "    break"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "End of Sequence\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ruR9lWyhK6fv",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        },
        "outputId": "65e3cf4a-50a0-4ea0-ff06-28ab64ce730f"
      },
      "source": [
        "seq = url_list[0][95:104]\n",
        "date = \"-\".join([seq[0:4],seq[5:7],seq[7:9]])\n",
        "print(seq, date, url_list, len(url_list))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2019m1226 2019-12-26 ['https://aura.gesdisc.eosdis.nasa.gov/data/Aura_OMI_Level2/OMSO2.003/2019/360/OMI-Aura_L2-OMSO2_2019m1226t0512-o82161_v003-2020m0223t133641.he5', 'https://aura.gesdisc.eosdis.nasa.gov/data/Aura_OMI_Level2/OMSO2.003/2019/360/OMI-Aura_L2-OMSO2_2019m1226t0651-o82162_v003-2020m0223t133638.he5', 'https://aura.gesdisc.eosdis.nasa.gov/data/Aura_OMI_Level2/OMSO2.003/2019/360/OMI-Aura_L2-OMSO2_2019m1226t0830-o82163_v003-2020m0223t133644.he5'] 3\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7-6TspliOgmy",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 284
        },
        "outputId": "e73a7c1e-92c3-4952-d9bb-4f027374807b"
      },
      "source": [
        "create_img(url_list, len(url_list), date)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Is6aWtCoPZWh",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "ab7fa06d-703a-4ff9-ce8a-29cfc2f401dc"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "OMI-Aura_L2-OMSO2_2019m1224t0524-o82132_v003-2020m0223t133042.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1224t0703-o82133_v003-2020m0223t133022.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1224t0842-o82134_v003-2020m0223t133029.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1225t0608-o82147_v003-2020m0223t133016.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1225t0746-o82148_v003-2020m0223t133015.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1226t0512-o82161_v003-2020m0223t133641.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1226t0651-o82162_v003-2020m0223t133638.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1226t0830-o82163_v003-2020m0223t133644.he5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9bWsaxxvPdHK",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "b619f708-e33e-4ffd-ab91-a33ded149daf"
      },
      "source": [
        "test = url_list[0][77:]\n",
        "test"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'OMI-Aura_L2-OMSO2_2019m1226t0512-o82161_v003-2020m0223t133641.he5'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k6pJ1RdxPn6i"
      },
      "source": [
        "def clean_data(url_list):\n",
        "  for i in range(len(url_list)):\n",
        "    url_list[i] = url_list[i][77:]\n",
        "  return url_list"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Frdopjt-QLCc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "a0793b11-9e66-4ba2-bd67-511b33509455"
      },
      "source": [
        "len(url_list)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "540"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "comPe5EHQMKo"
      },
      "source": [
        "s = 'OMI-Aura_L2-OMSO2_2019m1224t0524-o82132_v003-2020m0223t133042.he5'"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2cNwcU-hS8qZ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "33a803b0-dd89-47ac-c00c-beb41faa6646"
      },
      "source": [
        "s[18:27]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'2019m1224'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wrTIEscMTAAm",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "488b80c9-8554-4816-f0ad-a73d21f69a1e"
      },
      "source": [
        "import shutil\n",
        "shutil.make_archive('/content/SO2_final_data', 'zip', '/content/SO2_final_data')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'/content/SO2_final_data.zip'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wm72hsC1VgME",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "65fcbe73-bec0-4071-d435-fd38ee1c4109"
      },
      "source": [
        "url_list"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['OMI-Aura_L2-OMSO2_2019m1226t0512-o82161_v003-2020m0223t133641.he5',\n",
              " 'OMI-Aura_L2-OMSO2_2019m1226t0651-o82162_v003-2020m0223t133638.he5',\n",
              " 'OMI-Aura_L2-OMSO2_2019m1226t0830-o82163_v003-2020m0223t133644.he5']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XD-i9H6mXjWW",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        },
        "outputId": "31f97af7-cd21-41e5-c2b1-05d8fdc39719"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "OMI-Aura_L2-OMSO2_2019m1224t0703-o82133_v003-2020m0223t133022.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1224t0842-o82134_v003-2020m0223t133029.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1225t0608-o82147_v003-2020m0223t133016.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1225t0746-o82148_v003-2020m0223t133015.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1226t0512-o82161_v003-2020m0223t133641.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1226t0651-o82162_v003-2020m0223t133638.he5\n",
            "OMI-Aura_L2-OMSO2_2019m1226t0830-o82163_v003-2020m0223t133644.he5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "09d1HSLabISN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "181446fa-f600-4fe0-cb1f-2ee882e25e95"
      },
      "source": [
        "!cd.."
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/bin/bash: cd..: command not found\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xdf8iClrbZGv",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "5c13da98-0440-40ce-f5bd-7cb5033aadb5"
      },
      "source": [
        "%cd /content/"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z3ysI4UWbaXP",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "7ffb4e87-f8a5-4f52-a4f3-eabb6d4f8d5a"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "actual_data  input.txt\tsample_data  subset_OMSO2_003_20200916_140932.txt\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DRcNaxX6bbEt",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "26cacdd1-d189-46aa-ce78-f652d6aaa3e3"
      },
      "source": [
        "!mkdir final_data\n",
        "%cd final_data"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/final_data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MLcImqyJbgvp"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GYB18Rcgbh8f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "da2e94c2-1af8-4804-a77a-bb094b603a03"
      },
      "source": [
        "%cd /content/"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J19hpw0ObuJ8"
      },
      "source": [
        "!mkdir SO2_image_data"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E3W4o4hXbwIx",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "6ee9a976-7f64-4611-8a09-a27ed6f59db0"
      },
      "source": [
        "%cd final_data"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/final_data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yiwAqO3kb298",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "849d18ac-0a47-4cff-bd4d-66f762f9992c"
      },
      "source": [
        "!mkdir SO2_final_data\n",
        "%cd SO2_final_data"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/SO2_final_data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pu-bioc3b--0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "009cb4b7-4533-4839-a23e-6733bd877d86"
      },
      "source": [
        "l = [1, 2, 3]\n",
        "l"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 2, 3]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J_e4RCbup-tG",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "746329b7-7e45-4ae3-f735-fc15c3d8bc56"
      },
      "source": [
        "import pathlib\n",
        "count = 0\n",
        "for path in pathlib.Path(\"/content/SO2_image_data/\").iterdir():\n",
        "    if path.is_file():\n",
        "        count += 1\n",
        "print(count)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "184\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "K97TIpPTqY90",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "89522c80-3e30-460f-8ff6-93a0bbb76726"
      },
      "source": [
        "len(date_list)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "184"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dpyy8u7xuGXI"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wjno4fq-wNzq"
      },
      "source": [
        "file_name_list = []"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mOiilGf_xKHJ"
      },
      "source": [
        "for i in date_list:\n",
        "  s = str(i) + \"_SO2.png\"\n",
        "  file_name_list.append(s)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N_i44ODNyCzW"
      },
      "source": [
        "file_name_list"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jqEhHO-_yT2R"
      },
      "source": [
        "d = {\"Date\" : date_list, \"file_name\":file_name_list}"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TljFHprJyh9a"
      },
      "source": [
        "df = pd.DataFrame(d)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WlTBskmIymMB"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HGkVS5key2iq",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "79467682-cd63-4bd3-a898-6c40ebaa3acf"
      },
      "source": [
        "%cd /content/"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DSA78_tHy5zG",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "67debefc-4e30-4aee-d4dd-d28f4f90d82b"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "actual_data  sample_data\t subset_OMSO2_003_20200916_140932.txt\n",
            "final_data   SO2_image_data\n",
            "input.txt    SO2_image_data.zip\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gYcL4t7my6eW"
      },
      "source": [
        "df.to_csv('SO2_img_data.csv') "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fidq0HEJ39w3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "645f07a2-92ea-40f4-f700-ac60d9995721"
      },
      "source": [
        "import cv2\n",
        "img = cv2.imread(\"SO2_image_data/2020-06-21_SO2.png\")\n",
        "img.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1200, 1800, 3)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 175
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qKbRi6Yk4TL6"
      },
      "source": [
        "from google.colab.patches import cv2_imshow\n",
        "import cv2"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pObfg-zA4SHp"
      },
      "source": [
        "x = 390\n",
        "w = 1000\n",
        "y = 160\n",
        "h = 880\n",
        "crop_img = img[y:y+h, x:x+w]\n",
        "cv2_imshow(crop_img)\n",
        "#cv2.imwrite(\"new_img.png\", crop_img)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dc8AGqtF9v4q"
      },
      "source": [
        "def crop_img(img):\n",
        "  x = 390\n",
        "  w = 1000\n",
        "  y = 160\n",
        "  h = 880\n",
        "  img = cv2.imread(\"SO2_image_data/\" + i)\n",
        "  crop_img = img[y:y+h, x:x+w]\n",
        "  cv2.imwrite(\"SO2_final_data/\" + i, crop_img)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YWD86t4XDnzc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "9e5b8958-bba3-4e9c-eb4f-8a62441e9412"
      },
      "source": [
        "%cd /content/"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yDfXGSCD4rz3"
      },
      "source": [
        "for i in file_name_list:\n",
        "  crop_img(i)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1-7uS2-W9p8o",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "f18c87d8-d19c-4903-bc4d-f23ac0cbcc19"
      },
      "source": [
        "import pandas as pd\n",
        "df = pd.read_csv('SO2_img_data.csv')\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Date</th>\n",
              "      <th>file_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>12/24/2019</td>\n",
              "      <td>2019-12-24_SO2.png</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>12/25/2019</td>\n",
              "      <td>2019-12-25_SO2.png</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>12/26/2019</td>\n",
              "      <td>2019-12-26_SO2.png</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>12/27/2019</td>\n",
              "      <td>2019-12-27_SO2.png</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>12/28/2019</td>\n",
              "      <td>2019-12-28_SO2.png</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         Date           file_name\n",
              "0  12/24/2019  2019-12-24_SO2.png\n",
              "1  12/25/2019  2019-12-25_SO2.png\n",
              "2  12/26/2019  2019-12-26_SO2.png\n",
              "3  12/27/2019  2019-12-27_SO2.png\n",
              "4  12/28/2019  2019-12-28_SO2.png"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 187
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oMWGQi_UZtvK",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 731
        },
        "outputId": "2381c56e-eece-4817-89f4-9913809f03b1"
      },
      "source": [
        "!git clone --user c3wiz --password 123 https://github.com/C3Suryansu/myname"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "error: unknown option `user'\n",
            "usage: git clone [<options>] [--] <repo> [<dir>]\n",
            "\n",
            "    -v, --verbose         be more verbose\n",
            "    -q, --quiet           be more quiet\n",
            "    --progress            force progress reporting\n",
            "    -n, --no-checkout     don't create a checkout\n",
            "    --bare                create a bare repository\n",
            "    --mirror              create a mirror repository (implies bare)\n",
            "    -l, --local           to clone from a local repository\n",
            "    --no-hardlinks        don't use local hardlinks, always copy\n",
            "    -s, --shared          setup as shared repository\n",
            "    --recurse-submodules[=<pathspec>]\n",
            "                          initialize submodules in the clone\n",
            "    -j, --jobs <n>        number of submodules cloned in parallel\n",
            "    --template <template-directory>\n",
            "                          directory from which templates will be used\n",
            "    --reference <repo>    reference repository\n",
            "    --reference-if-able <repo>\n",
            "                          reference repository\n",
            "    --dissociate          use --reference only while cloning\n",
            "    -o, --origin <name>   use <name> instead of 'origin' to track upstream\n",
            "    -b, --branch <branch>\n",
            "                          checkout <branch> instead of the remote's HEAD\n",
            "    -u, --upload-pack <path>\n",
            "                          path to git-upload-pack on the remote\n",
            "    --depth <depth>       create a shallow clone of that depth\n",
            "    --shallow-since <time>\n",
            "                          create a shallow clone since a specific time\n",
            "    --shallow-exclude <revision>\n",
            "                          deepen history of shallow clone, excluding rev\n",
            "    --single-branch       clone only one branch, HEAD or --branch\n",
            "    --no-tags             don't clone any tags, and make later fetches not to follow them\n",
            "    --shallow-submodules  any cloned submodules will be shallow\n",
            "    --separate-git-dir <gitdir>\n",
            "                          separate git dir from working tree\n",
            "    -c, --config <key=value>\n",
            "                          set config inside the new repository\n",
            "    -4, --ipv4            use IPv4 addresses only\n",
            "    -6, --ipv6            use IPv6 addresses only\n",
            "    --filter <args>       object filtering\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wwKcrIzMdBs9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "201c3500-514a-4872-bcb7-35186c48aa84"
      },
      "source": [
        "!git clone https://github.com/C3Suryansu/SO2_Indian_Cloud_data.git"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'SO2_Indian_Cloud_data'...\n",
            "fatal: could not read Username for 'https://github.com': No such device or address\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QYwsUmm0df42",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 165
        },
        "outputId": "5d72a8be-ff31-4842-d585-90d5e82b901a"
      },
      "source": [
        "!git clone https://C3Suryansu:13d78bcf0bcef820473b0d19eca0dc944d7070c9@github.com/C3Suryansu/SO2_Indian_Cloud_data.git"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'SO2_Indian_Cloud_data'...\n",
            "remote: Enumerating objects: 3, done.\u001b[K\n",
            "remote: Counting objects: 100% (3/3), done.\u001b[K\n",
            "remote: Compressing objects: 100% (3/3), done.\u001b[K\n",
            "remote: Total 194 (delta 0), reused 2 (delta 0), pack-reused 191\u001b[K\n",
            "Receiving objects: 100% (194/194), 260.48 MiB | 23.67 MiB/s, done.\n",
            "Resolving deltas: 100% (1/1), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5WzKW9rJd3UZ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 367
        },
        "outputId": "4a55ff7a-164f-491a-ef63-436fdf979d45"
      },
      "source": [
        "import os\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.basemap import Basemap\n",
        "import numpy as np\n",
        "import h5py\n",
        "\n",
        "def file_process(file_path):\n",
        "  FILE_NAME_1 = file_path\n",
        "  path_1 = '/HDFEOS/SWATHS/OMI Total Column Amount SO2/Data Fields/'\n",
        "  f1 = h5py.File(FILE_NAME_1, mode='r')\n",
        "  DATAFIELD_NAME_1 = path_1 + \"CloudFraction\"\n",
        "  dset1 = f1[DATAFIELD_NAME_1]\n",
        "  data1 = dset1[:].astype(np.float64)\n",
        "\n",
        "# Retrieve any attributes that may be needed later.\n",
        "# String attributes actually come in as the bytes type and should\n",
        "# be decoded to UTF-8 (python3).\n",
        "#scale = f[DATAFIELD_NAME].attrs['ScaleFactor']\n",
        "#offset = f[DATAFIELD_NAME].attrs['Offset']\n",
        "\n",
        "  missing_value = f1[DATAFIELD_NAME_1].attrs['MissingValue']\n",
        "  fill_value = f1[DATAFIELD_NAME_1].attrs['_FillValue']\n",
        "  title = f1[DATAFIELD_NAME_1].attrs['Title'].decode()\n",
        "  units = f1[DATAFIELD_NAME_1].attrs['Units'].decode()\n",
        "\n",
        "  latitude1 = f1['HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/' + 'Latitude'][:]\n",
        "  longitude1 = f1['HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/' + 'Longitude'][:]\n",
        "\n",
        "  data1[data1 == missing_value] = np.nan\n",
        "  data1[data1 == fill_value] = np.nan\n",
        "#data = scale * (data - offset)\n",
        "  datam1 = np.ma.masked_where(np.isnan(data1), data1)\n",
        "\n",
        "  return latitude1, longitude1, datam1"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "ModuleNotFoundError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-1-6167188d3f12>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mmpl\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mmpl_toolkits\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbasemap\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mBasemap\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mh5py\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'mpl_toolkits.basemap'",
            "",
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0;32m\nNOTE: If your import is failing due to a missing package, you can\nmanually install dependencies using either !pip or !apt.\n\nTo view examples of installing some common dependencies, click the\n\"Open Examples\" button below.\n\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZywMlEDbX1O_"
      },
      "source": [
        "import os\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.basemap import Basemap\n",
        "import numpy as np\n",
        "import h5py\n",
        "\n",
        "def file_process(file_path):\n",
        "  FILE_NAME_1 = file_path\n",
        "  path_1 = '/HDFEOS/SWATHS/OMI Total Column Amount SO2/Data Fields/'\n",
        "  f1 = h5py.File(FILE_NAME_1, mode='r')\n",
        "  DATAFIELD_NAME_1 = path_1 + \"ColumnAmountSO2\"\n",
        "  dset1 = f1[DATAFIELD_NAME_1]\n",
        "  data1 = dset1[:].astype(np.float64)\n",
        "\n",
        "# Retrieve any attributes that may be needed later.\n",
        "# String attributes actually come in as the bytes type and should\n",
        "# be decoded to UTF-8 (python3).\n",
        "#scale = f[DATAFIELD_NAME].attrs['ScaleFactor']\n",
        "#offset = f[DATAFIELD_NAME].attrs['Offset']\n",
        "\n",
        "  missing_value = f1[DATAFIELD_NAME_1].attrs['MissingValue']\n",
        "  fill_value = f1[DATAFIELD_NAME_1].attrs['_FillValue']\n",
        "  title = f1[DATAFIELD_NAME_1].attrs['Title'].decode()\n",
        "  units = f1[DATAFIELD_NAME_1].attrs['Units'].decode()\n",
        "\n",
        "  latitude1 = f1['HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/' + 'Latitude'][:]\n",
        "  longitude1 = f1['HDFEOS/SWATHS/OMI Total Column Amount SO2/Geolocation Fields/' + 'Longitude'][:]\n",
        "\n",
        "  data1[data1 == missing_value] = np.nan\n",
        "  data1[data1 == fill_value] = np.nan\n",
        "#data = scale * (data - offset)\n",
        "  datam1 = np.ma.masked_where(np.isnan(data1), data1)\n",
        "\n",
        "  return latitude1, longitude1, datam1\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KGM3cHxLYq6Y",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "5b40742f-0002-45d5-e6b3-7dab25310e64"
      },
      "source": [
        "f1['HDFEOS/SWATHS/OMI Total Column Amount SO2/Data Fields/ColumnAmountSO2']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<HDF5 dataset \"ColumnAmountSO2\": shape (1644, 60), type \"<f4\">"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "db2tleg3Ys4k"
      },
      "source": [
        "def create_img(file_list, length, date):\n",
        "  lat = []\n",
        "  longi = []\n",
        "  data = []\n",
        "  for i in range(length):\n",
        "    temp_lat, temp_long, temp_data = file_process(file_list[i])\n",
        "    lat.append(temp_lat)\n",
        "    longi.append(temp_long)\n",
        "    data.append(temp_data)\n",
        "  m = Basemap(projection='cyl', resolution='l',\n",
        "                  llcrnrlat=0, urcrnrlat = 45,\n",
        "                  llcrnrlon=50, urcrnrlon = 100)\n",
        "  m.drawcoastlines(linewidth=0.5)\n",
        "  m.drawparallels(np.arange(-90., 120., 30.), labels=[1, 0, 0, 0])\n",
        "  m.drawmeridians(np.arange(-180, 180., 45.), labels=[0, 0, 0, 1])\n",
        "  for i in range(length):\n",
        "    m.scatter(longi[i], lat[i], c=data[i], s=1, cmap=plt.cm.jet,\n",
        "                edgecolors=None, linewidth=0)  \n",
        " \n",
        "  cb = m.colorbar()\n",
        "  cb.set_label('Vertical Column Amount SO2 in PBL(DU)')\n",
        "\n",
        "  title = \"Effectice Cloud Fraction (from OMCLDRR)\"\n",
        "#basename = os.path.basename(FILE_NAME_2)\n",
        "#print(type(basename), basename)\n",
        "  new_name = str(date) + \"_SO2\"\n",
        "  plt.title('{0}\\n{1}'.format(new_name, title), fontsize=8)\n",
        "  fig = plt.gcf()\n",
        "  pngfile = \"{0}.png\".format(new_name)\n",
        "  fig.savefig(\"/content/\"+ pngfile, quality = 95, dpi = 300)\n",
        "  plt.close()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QUbT-zUUZKu0"
      },
      "source": [
        "l = ['/content/OMI-Aura_L2-OMSO2_2020m0224t0541-o83035_v003-2020m0224t203659.he5']\n",
        "len = 1\n",
        "date = \"2020-02-24\"\n",
        "create_img(l, len, date)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "00yeobgYZ2vB"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}