content/04_Work_with_different_data_formats.ipynb

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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This is part of [**Python for Geosciences**](https://github.com/koldunovn/python_for_geosciences) notes."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "================"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Binary data"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Open binary"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Data from [Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data](http://nsidc.org/data/nsidc-0051.html)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!wget ftp://sidads.colorado.edu/pub/DATASETS/nsidc0051_gsfc_nasateam_seaice/final-gsfc/north/monthly/nt_200709_f17_v01_n.bin"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Create file id:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ice = fromfile('nt_200709_f17_v01_n.bin', dtype='uint8')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We use *uint8* data type. \n",
      "[List of numpy data types](http://docs.scipy.org/doc/numpy/user/basics.types.html)"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The file format consists of a 300-byte descriptive header followed by a two-dimensional array."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ice = ice[300:]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Reshape"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ice = ice.reshape(448,304)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Simple visualisation of array with imshow (Matplotlib function):"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "imshow(ice)\n",
      "colorbar()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "<matplotlib.colorbar.Colorbar instance at 0xb05bb2c>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
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MbdDAskX8UYg/1ryq5s6dy4cffsj999/PDz/8wJw5c9i+vf4sjKbY6stCKyNTHw1o2ojh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\nAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0xaf71cac>"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "To convert to the fractional parameter range of 0.0 to 1.0, divide the scaled data in the file by 250."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ice = ice/250.\n",
      "imshow(ice)\n",
      "colorbar()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "<matplotlib.colorbar.Colorbar instance at 0xb20c50c>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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LtB44xvrpyHbCzqTVGiQnJ/PFF18wfPhwRo0aBYhpomXLljF//nw+/vhjAgMD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\nUzUAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0xad9d1ac>"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Let's mask all land and missing values:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ice_masked = ma.masked_greater(ice, 1.0)\n",
      "imshow(ice_masked)\n",
      "colorbar()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "<matplotlib.colorbar.Colorbar instance at 0xb2e79ac>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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FFi68MVFA7WnMYa0t2CTU4uJipk2bxuzZs4mOFls/+Pn5kZ6ejr+/PxcvXsTX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\nDAAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0xb061a4c>"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Masking in this case is similar to using *NaN* in Matlab. [More about NumPy masked arrays](http://docs.scipy.org/doc/numpy/reference/maskedarray.html)"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Save binary"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fid = open('My_ice_2007.bin', 'wb')\n",
      "ice.tofile(fid)\n",
      "fid.close()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 20
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "In order to work with other data formats we need to use one of the SciPy submodules:"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "SciPy"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<img  height=\"100\" src=\"files/scipy.png\" >"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "General purpose scientific library (that consist of bunch of sublibraries) and builds on NumPy arrays.\n",
      "\n",
      "* Special functions ([scipy.special](http://docs.scipy.org/doc/scipy/reference/special.html))\n",
      "* Integration ([scipy.integrate](http://docs.scipy.org/doc/scipy/reference/integrate.html))\n",
      "* Optimization ([scipy.optimize](http://docs.scipy.org/doc/scipy/reference/optimize.html))\n",
      "* Interpolation ([scipy.interpolate](http://docs.scipy.org/doc/scipy/reference/interpolate.html))\n",
      "* Fourier Transforms ([scipy.fftpack](http://docs.scipy.org/doc/scipy/reference/fftpack.html))\n",
      "* Signal Processing ([scipy.signal](http://docs.scipy.org/doc/scipy/reference/signal.html))\n",
      "* Linear Algebra ([scipy.linalg](http://docs.scipy.org/doc/scipy/reference/linalg.html))\n",
      "* Sparse Eigenvalue Problems ([scipy.sparse](http://docs.scipy.org/doc/scipy/reference/sparse.html))\n",
      "* Statistics ([scipy.stats](http://docs.scipy.org/doc/scipy/reference/stats.html))\n",
      "* Multi-dimensional image processing ([scipy.ndimage](http://docs.scipy.org/doc/scipy/reference/ndimage.html))\n",
      "* File IO ([scipy.io](http://docs.scipy.org/doc/scipy/reference/io.html))\n",
      "\n",
      "We are going to use only scipy.io library."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "scipy.io"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Open .mat files"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "First we have to load function that works with Matlab files:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from scipy.io import loadmat"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 21
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We are going to download [Polar science center Hydrographic Climatology (PHC)](http://psc.apl.washington.edu/nonwp_projects/PHC/Climatology.html) for January in Matlab format."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!wget https://www.dropbox.com/s/0kuzvz03gw6d393/PHC_jan.mat"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Open file:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "all_variables = loadmat('PHC_jan.mat')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 22
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can look at the names of variables stored in the file:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "all_variables.keys()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "['PTEMP1', 'LON', '__header__', '__globals__', 'DEPTH', 'LAT', '__version__']"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We need only *PTEMP1* (3d potential temperature)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "temp = numpy.array(all_variables['PTEMP1'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 24
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Check variable's shape:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "temp.shape"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 25,
       "text": [
        "(33, 180, 360)"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Show surface level:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "imshow(temp[0,:,:])\n",
      "colorbar()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "<matplotlib.colorbar.Colorbar instance at 0xb6383ac>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Mg/PkZUNRNhRFQ10X1PMR7dEYruc90AqI1Ak2ETSLNRpw6c3Vb8UorGYGGwO3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\nGTG0giAINiOGVhAEwWbE0AqCINjM/wF3LVnEndrrbAAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0xb40d3ac>"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Open netCDF files"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Import nessesary function:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from scipy.io import netcdf"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 29
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "I am going to download [NCEP reanalysis data](http://www.esrl.noaa.gov/psd/data/reanalysis/reanalysis.shtml). Surface 4 daily air temperature for 2012."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!wget ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis/surface/air.sig995.2012.nc\n",
      "\n",
      "#Alternative for the times of US goverment shutdowns:\n",
      "#!wget http://database.rish.kyoto-u.ac.jp/arch/ncep/data/ncep.reanalysis/surface/air.sig995.2012.nc"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "--2013-10-27 00:19:39--  ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis/surface/air.sig995.2012.nc\r\n",
        "           => \u2018air.sig995.2012.nc\u2019\r\n",
        "Resolving ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "140.172.38.117\r\n",
        "Connecting to ftp.cdc.noaa.gov (ftp.cdc.noaa.gov)|140.172.38.117|:21... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "connected.\r\n",
        "Logging in as anonymous ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Logged in!\r\n",
        "==> SYST ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> PWD ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> TYPE I ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.  ==> CWD (1) /Datasets/ncep.reanalysis/surface ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "==> SIZE air.sig995.2012.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "30793412\r\n",
        "==> PASV ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.    ==> RETR air.sig995.2012.nc ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "done.\r\n",
        "Length: 30793412 (29M) (unauthoritative)\r\n",
        "\r\n",
        "\r",
        " 0% [                                       ] 0           --.-K/s              "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 0% [                                       ] 21.600       104KB/s             "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 0% [                                       ] 66.240       159KB/s             "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 0% [                                       ] 120.960      195KB/s             "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 0% [                                       ] 187.200      226KB/s             "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 0% [                                       ] 288.000      278KB/s             "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 416.160      335KB/s             "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 1% [                                       ] 603.360      415KB/s             "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 2% [>                                      ] 856.800      515KB/s             "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 3% [>                                      ] 1.069.920    570KB/s             "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 4% [>                                      ] 1.270.080    448KB/s             "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 4% [>                                      ] 1.307.520    406KB/s  eta 71s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 4% [>                                      ] 1.513.440    421KB/s  eta 71s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 6% [=>                                     ] 1.923.840    506KB/s  eta 71s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 6% [=>                                     ] 1.985.760    495KB/s  eta 71s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 6% [=>                                     ] 2.088.000    495KB/s  eta 71s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 7% [=>                                     ] 2.239.200    506KB/s  eta 55s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 7% [==>                                    ] 2.458.080    552KB/s  eta 55s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 8% [==>                                    ] 2.711.520    619KB/s  eta 55s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " 9% [==>                                    ] 2.970.720    664KB/s  eta 55s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "10% [===>                                   ] 3.227.040    703KB/s  eta 55s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "11% [===>                                   ] 3.480.480    722KB/s  eta 42s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "12% [===>                                   ] 3.739.680    742KB/s  eta 42s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "12% [====>                                  ] 3.990.240    753KB/s  eta 42s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "13% [====>                                  ] 4.249.440    750KB/s  eta 42s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "14% [====>                                  ] 4.501.440    941KB/s  eta 42s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "15% [=====>                                 ] 4.760.640   1011KB/s  eta 35s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "16% [=====>                                 ] 5.011.200   1,10MB/s  eta 35s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "17% [=====>                                 ] 5.268.960   1,12MB/s  eta 35s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        "17% [=====>                                 ] 5.522.400   1,17MB/s  eta 35s    "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
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        "\r",
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        "\r\n"
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      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2013-10-27 00:20:09 (1,10 MB/s) - \u2018air.sig995.2012.nc\u2019 saved [30793412]\r\n",
        "\r\n"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Create file id:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fnc = netcdf.netcdf_file('air.sig995.2012.nc')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 30
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "It's not really file id, it's *netcdf_file* object, that have some methods and attributes:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fnc.description"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "'Data is from NMC initialized reanalysis\\n(4x/day).  These are the 0.9950 sigma level values.'"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fnc.history"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 33,
       "text": [
        "'created 2011/12 by Hoop (netCDF2.3)'"
       ]
      }
     ],
     "prompt_number": 33
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "list variables"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fnc.variables"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 34,
       "text": [
        "{'air': <scipy.io.netcdf.netcdf_variable at 0xb66140c>,\n",
        " 'lat': <scipy.io.netcdf.netcdf_variable at 0xb66172c>,\n",
        " 'lon': <scipy.io.netcdf.netcdf_variable at 0xb66162c>,\n",
        " 'time': <scipy.io.netcdf.netcdf_variable at 0xb6614ec>}"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Access information about variables"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "air = fnc.variables['air']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 35
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This time we create *netcdf_variable* object, that contain among other things attributes of the netCDF variable as well as data themselves. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "air.actual_range"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 37,
       "text": [
        "array([ 191.1000061,  323.       ], dtype=float32)"
       ]
      }
     ],
     "prompt_number": 37
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "air.long_name"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 38,
       "text": [
        "'4xDaily Air temperature at sigma level 995'"
       ]
      }
     ],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "air.units"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 39,
       "text": [
        "'degK'"
       ]
      }
     ],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print(air.add_offset)\n",
      "print(air.scale_factor)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "512.81\n",
        "0.01\n"
       ]
      }
     ],
     "prompt_number": 40
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "air.shape"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 41,
       "text": [
        "(1464, 73, 144)"
       ]
      }
     ],
     "prompt_number": 41
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can access the data by simply using array syntax. Here we show first time step of our data set:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "imshow(air[0,:,:])\n",
      "colorbar()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 44,
       "text": [
        "<matplotlib.colorbar.Colorbar instance at 0xbb6972c>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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F5OPyzrgV7X/vc5aPzdb1P4+7RPzvNvN9j49iNoPvJxiRFOUP3CixbJ9eOxWfjvh35LO/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TAAAg\nAElEQVRBPvGJT3D33Xfz7ne/m8cff5wHHniAT3ziE5w8eZKnn36aP/iDP+BXfuVXeOyxx7h06RK/\n/uu/zlNPPQXAW9/6Vt7znvdcdWPjbw+A+8vrY1dq1CtEwF0lUkNJKWJ5AhMxHDU0sQgHC7ElTSOW\nYyaNJkhrINV6vYP1sTIHEwe7FDxSk7pP+04lmJSZOgMSwy3asrQWyKSE/cn8irrQWbOq8rFlvdxE\nFr6sA2Le2jzZmauDTwrGDsj+zO6MS6UnB810EIN5NueRFQ6GDqip2Z8CuLfHVDJJJZyQXOcpHSgC\n83mlcpsGf5LnyA+5Xr/rudUP1pnfJLmCqs4ZM6IqxzQHUF2E6fMwnhBn0w4hU6ig+3q8ncnC2Kfb\n7ae289LIlcNSX51eDfTdCjqC9FqFEWo3eoC3v/3tfOYzn7nq+S+88ALb29vcfffdAPz0T/80n/3s\nZ3nggQf43Oc+x8MPPwzA+973Pn7u534OgD/+4z/m/vvvnwH2fffdx+OPP85P/MRPHHqfbx+AH6ah\nClBdJtgnmofniECuNZBXiA7JfSJg6Zjr527GiQHtMK9zLzEPkGIKaYdMAdU1u5p+Bt6n4/bJA96B\nUnBPBxAfdPL2WQWMeoOb8ftiO5BM9iFvgVxjpOaDSInQI4p4lXq+RTo5pGB+TRG3WlyqSDupZuT5\nAFAlH5dQ0mdW/jXd7Nu+Kfa+jIJHXWB1murafaCbOtnTgTgdVHUsLb/n7W1edSUTqGG+L5R2XGUv\nmL+/rpXfZx1YhXKUM2FItZVTvQjnN2FjDIMalksY7bb7mU7oZENJMtK9+0jRwMqhduYRJKl/wAdq\nPd9hyYG7z1L6FtPVpJHNJ/+azSf/5lXf43d/93f5yZ/8ydn/3/jGN7jrrrtYX1/nP//n/8w73/lO\nzp49y6233jo75/Tp05w9exaAs2fP8vrXvx6AoihYX1/n4sWLPP/883PX3HrrrbNrDkvfnpgbb+Bi\nqkrq/GvEhXpO0THvCXGGmbSyUXvOfvt9j3kpxDuK1itp6GZr6lwBOHRgXDDf+bGypg6Y9Jq+Tps+\n/9Wcln2gnQ50auwDuiUHnKW1dTkM8edJCWESxzmBtsu33g+FCWVNnPSje4iBaxTwutbFAp4UCB3o\nUxbtpnlaxy5DeGSJDxQ+mAqAZPI7MOge7gDtezdw5bv39+ll9eNuSaVkIB2MdA89O5anW4xeZpdY\nZDFqwS/bDzUMgSrA5UB9Bi5uRv/H8RBBvNHIHeh8R9LFde99ItERu3eyUViZNIgq+WDnbUD/k5zr\njk4frNL6/xbT1SSUlXveyso9b539/+zDn547ft999/Hiiy9ecd1HP/pRfuzHfgyA3/iN32A4HPJT\nP/VTANxyyy0899xzHD9+nC9/+cv8q3/1r/ja1752FI9yTem1B3AhhTfoOvlfjUSORWnhF+nWRpGY\nK/BVHr7WtjNnN0U9yRR0AE+Z9cuZfymQpQ26Sc71jn7Yxzt9c0heDmDuRHTnql2XEfupwoP321MV\nsKOsZ36rCqYTKCaQ+ZR6Rev4OhcOfM7EPVRM57izT3Xqa64oT5+401heng5j5yPmIyhcd9ff1PJR\nfqm15ANuCuSpNeUArnJ5Pim4qc7Uft2Z6Od6CKVbXWrrBsLLYZ+bd2oWz47haag2oA6wlMHqEApf\nquIkkSQtM1symN2kjjw88GqS0mESldetA7qeN73+apLMK0yvJgrliSeeuOrx3/u93+Pzn/88f/Zn\nfzb7bTgcMhxG2eYtb3kL3/M938PTTz/N6dOnOXPmzOy8M2fOzNj16dOnefbZZ7nlllsoy5LNzU1O\nnjzJ6dOn55Ysee655/iRH/mRq5bp2wPgMP9im+R/vVh1QDlrFIVRMh8BoUEgZV5p40nliSLJQ2Xx\njuVmeMom+lhZygiVh5JHdPj5vkCX/65nc1am49OePBQnL62/fbYsdKcEu5UbDPo+BEITI1EOJrC4\nD5lYt4eZeefzvzDPrt181nO4BKF3rOvTqBfXit0Z5gOz6/IS9gVuXhY5AbA8Umecg5ADtANY6nT2\n9tQHZH1yTNpG1V40QcvbrjvbfZDQIGh7wy7sTFjYn1B9Aw6+DmxFyWRpCMuLkK/QzYM4SYwZlwXn\nceJ6FgUOpAEBGnTcwknJC1zZPtJBOM3nHwiAXy09/vjjfPzjH+eLX/wiCwsLs99feukljh8/Tp7n\nfP3rX+fpp5/m9ttv59ixY6ytrfFXf/VX3H333Xz605/mF37hFwB4z3vewyc/+Une8Y538Id/+Ifc\ne++9QHSU/uqv/iobGxs0TcMTTzzBI488ctVyvfYArg512GirTrhF12EX6MDjFjpn5CLRFLwMnG//\nasaZs1k1kFTD8+gP6BiCUgrCzu4dhLwTp+azx2Vj93RgklNI4VsDO+YdX+VQmJWmNTvIqF60Y/0B\nhBHkecxWfttgf2XoOC4VwEEFmweQb8JgxHzoondmB6JgmbtjN9i5Kdt2YHMrzCdvwTyLViHTcDV9\nH9ENfAJurRXuE1q8jrF8+wb+PhkhHbj9u85R/mo/7kPxe7iFoqT25D4WvTQd02A9JJpSLwDn4OB/\nwc7zMBrD8QyWl2F4DLLjzK8lvkgXdeKx4m4JaX2i1G+Rgrms4VQ2ScmO6sePeToiR+ZrBeA///M/\nz2QymTkzf/iHf5hHH32UL37xizz00EMMBgOyLOO//bf/NnNCPvroo/zMz/wM+/v7vPvd7+aBBx4A\n4AMf+AAPPvggd9xxBydPnuSxxx4D4gTJX/u1X+OHfuiHAHjooYeuGoECEJqmOaKq68k8BJr/yDyL\nSxu7M6mCyBKk02n2mRiYWMeL7ed5osyi/Ny55xplCt7pO04jB1Lg7HO6pZ06BTLoENKZpcqlTuIA\nnkomKouiQ3bpZAOFVqqOLjJbXrTegv3zcHAZJgdQjaGexkk7Ci10f6ReyQhYLOCG47ByCvgu4pob\nx9v76fncmai/fY5d/Z/GQysJMPTdwxfdEvHolzSyw6NanJ2XdBO9BOA+KKuNpAB+NautSI6llpPe\ns8osq8BlIZgHOZdTfGAv7XdtdKIBLG/fxwqxvzwD/B1s/k/Y+muocshGcPIkLJ8iSiY3th+9xwNi\ne9K7cZ+CCIdLPF7PqcO1Tj56thS8U7Lj9Z1D+L/g1cBRCIE3Nl++5vP/3/CWV3W/fwjpmhj4bbfd\nxtraGnmeMxgM+NKXvnTt26qJibjZ76OzOy9quvW9BdqrzDMaTZnfa8+TQ88B8jAAT81n1+gctFNm\n5azTzW6nr33nuswx5EoAUPSMA4gnlW/CvKxQ0DmhNAlohciwxlH+WLgAw3NQvwDTC7C/CWW7WYNw\nT1WloiwGWM6h0OAgbd2lHnVglS+tRwcqlwd8dq2Svw9n4O6Qhnn5ysHa350DhywhOb81qPpOPr5+\ndsoG+2QSlUvl9vfmMosDuAiKzkmdfGovPqi5dZWy/MKua4h94TLwf4C/BS5F6WxlCAuLMJRV5h+B\n9w5x4Pe2WDD/7CG5n+rLpTJ/Bz54HyZhpv0klRxfZfpOm4l5TQAeQuDJJ5/kxIkTs9+0rdqHPvQh\nHnnkEX7zN3+zf1ceb7zuWYd5tukddGLXqjNqHZADInhLVhHzFsAoX7ErZ8pqlA4k3gA9aNpNfJc1\nlNzx6kw81WwdlJyBp+zPgSCtO5d9BAiyRqCzcJa7espHkLfx7zkxj2Y/Hh9MYqx42XRLqwAsBygy\n4kzJgd1f4NEnbXiH9LpUPbqEkDLwFKR8xqdLDF4nnr/+97bl78CBRpKBQuUOmGfjytNB29uPDywF\n85ZTquXr/ho4+pgqVm8OfP6u9Txp+5I8tAtsQfUNqJ6FyVbbhBvDX+8HXg4sb2+f/j7cClJyK8xl\nPvdhpew6BXJ9d0d1H4H5FtJ1AD8kpabGNW+r5lN65zJkvnGkTq495oE7NYXdMZhGAkDXOLMkb2cV\naWf3RuVmrZKDRKrZpuahm6LuqFRycPIy+f3c/PQwslQT1WBT0AHmCrPY3jyDxdUYD7y+BzubsHEZ\nLlfdsurSxWf3TQddsU49Q+rbcNbtzMpBMAVwZ/AO4D7ZJH1vKYA7C+wjBz7wSorymGfJLAJRvbN0\ncPH3KQnLBxu48v25qaM25r+lAK77q1fqf9e6JJldZiabTZ+DgxdhbwL7TVy4LD+AxSlkHp1V2X01\nGPtglcpDAnClw6xWtQWPycfyS9u9v1ePWjqCdH052Z4UQuCf//N/Tp7n/Lt/9+/4t//2317ztmof\n+Z/MXvw93wP3fB/zMoo3MOg6Yuo4gXlJAq7s5NjfVKP0huSsBLrOJTbl7KIPCFKz0wHazemUufn9\n+6yQVJ93gBNYpJOHmuTjoXw5sERcmXEZ8hbAmk1gDYp9GB1AqCCvYLWA0QhyRSDAvNasMrqZ72XU\n+bomDY9LAc6fMWXgqcXk4JECdR+A9yUNIA7kmnno3l5/rlRK8UFGskQKfofJPQ7gqk8xVycHPijr\n3jpX8scGEcAvwO4mXDiAy008dKqGpo7W1CBdgyhYfn0MOY2aStu9t7nUwen+Dh+kDpHNnnwWnnym\n70V96+n6crI96S/+4i+4+eabuXDhAvfddx9veMMb5o5fbVu1j7yHeYB1hgFXNmrv/NCxTb9GDUPJ\nG5nr630A7g3VGayHtpVJnqmk0mcSpnJIn/Mrvd7zxvLx5M+q/UV95qGbrz6jThrvkOhHMGAZ7cJg\nA9Yvwc2XuvPzIWTpsgX+PpyNp6wqJOf7gCqAFSClqU9uSgfnFAj0e58scbUkIJUMoTho1Vkae56+\nRwdxRQCJsafvOpWV1M493FHe5HQg7pNUtBKh9OstYAO29+FMHQOztoBpEy9bGcCSBhkPIPBBEeb7\niyRJyZOe0neQSlAqt+pRVmzad9u87vl+uOfN3W8P/w9edbouofSkm2++GYBTp07x4z/+43zpS1+6\n9m3VjjPfWGC+U+d0sog+/tLTa3V9qhen0kgK1iH5eGdTp1IeznJhnh2lA0Oqk/aBTpb8npqRaV59\nmruXxetLIKCYQc9DzyltvwXJsA75KSIYOHi5ee2rQcpiUqd0pgjzoNMHpn3Xe33qHaXLBac+C3/n\n6fvss270fzoYuMN6TMfAPVpGz5G+O1mBqh+PwU+dsqqbFODSWam+F6aDuqxCr4cRcUCGGVhWYxhv\nxsfYA4oAywUUx4GbiCGEWkdfZMXDKrH699Uz3Wfj9e/WswY817HVLjWQe/9TUn5Ooo4gXQfwJO3t\n7VFVFaurq+zu7vInf/InPPTQQ7Ng9JfdVu0E86N2Gk8q4HAA9RfbB+BKh7Frb3AChDQPd1KJNaiR\nHQbgbtKmzNu1cJmZnkefhOIauWuRKRimUo4DoS/POWaePQ3oFiaSNq7lazU9E7tWLN6lCrc89M68\n87nDUsfdGsrtr+91qjrxSB53CKeDJJZnyrIPax8OuJIRUtlMZUqXO00nAfmAKmvBY/DFcHU8ZeK1\n5ePgnVqfknYKusgd5ZHThdiut+dUUO9A9WL3+hYDHBvC8CRxHsUN7XVq2woScNB0TT9PPmkf0ntJ\n37VHU3nf9vfpya85okiU8fi1WczqH2p6WQA/d+4cP/7jPw5AWZb863/9r7n//vt529vedm3bqqXE\nPI0rVavztYF9VFe6moTRJ5Wkjc+TszIB4j5dZ3HNV/f2+7vX3sF7aHl4BAT2u76rbKb71gXUDjAt\nkOclhLSje/05S9M9nPHpmeSIFPCoDlJASRm1R0Okmn5anr661oAg8HBLy30Jrnv79z5W7flCP4gf\nxu51bqrh9n1SvVf5qg6XmZcbUsvCpRTdV1Ni/XcPdZRjVYOdCIamzzux2YflFyLRLoC9HG64ARZv\nhVw72Mv5rLL1LaGcDuqplaTf/G86sKbWx8h+d8vKrRkH/SNIVfWdpYG/5hN56q8zxz5CysBlznmj\nTScOuPZ6GANOQdwbTR+oqNGoc2gzCO1yc1itSGJw0B5C4xNQYLYbzVyYVGZ5FNCYydoMoSriJAyV\nsQFCHeJuOdNmBrCz3cIF4Gl0hX8UZiIGl26IUfTU82Hs3xmzUgr0Xm+p+Z1O6tE5aYy87pUOSp78\nXP2fnucA7kw/BVZ/jvR/fXxAVpkF4h63nlpdfp+rlTGNuPINLNQ/aubb3gvA/4kTeC7/ZTsvZwi3\n3gk3fB/wBuLO9X1l02Cqd6QNS9znkTEvoUHXjvpYtZ4l9WGkVtAAGn837bnZd/GqJ/Isbly65vP3\nj534zpjI82rS/omCrG4I7fbkoYJQNbPOHv+HbAzBAdxlAujXjvW7m+DWcBr/HrqPrs3q9v6aKCNw\nS73u6f0s+qQeQjUMVINAXWRx/8emIZvWhGlDqOm2HAux4TYZNHmYlbXJA00RqNtjdQg0xA8EpgVk\no4asqsmqmnzakJVNDBFLHWzJwDIzxd2hpHP0bH2RHUqH1XsqC2DfBXi15aFOvMC8Rtpw5QDs9zxM\nO00BPNXG+ywyl37S8738/r2PgSuP1OGagmQ6IKTtyMvpbXjR6kiD8z6do93roIGFAo4vxoWr6hVY\nvpk4g1bOa18H3wexPgsnrTeXVdxv5UCNXe/1Usz/bYatlVlAXWQ0eaDOAnFHbLhSmH/lqarylz/p\nH1F67QF8bUjW1IS6Iav1t+sloYasigwza+WUMG0i02yaw8046DrIAJoiRCabhw60MwjtBXVgBpBN\niODdVJBVDZnMU61oBzNgpYAmC5ExEGhCBN6m7QjVIFAOAmWRUeVZ7Fd1TV5V5GUdBwkb5ZtM5Wjz\nApoQqLMOjeosow6BmoyGDAYxj6IpKcqKYlpRlE0rrbR1NWmig3LEvBY+ojPF3cxN2WAKmA4uzo4d\nzNJp8WKb0j/TkEdnmz7xIwVWVUUK5Gk+qendB9wOdiR5OKgfxvThSnae3sfA9AqWe5jjNx0U+wbP\nms6SGtHJYLTf2wF6tAjDdQhadfAmonS5QuenOKyedb9U4hBQj7r7zMqkawXunoxtNzPrNNAMAs0Q\nyjxQ5oGqyKmKjDrEth5mDp1Xl8rpdQA/0rQdVmL7zBqyrO5AmbbdNg1ZU0eGWdcUdUVe12RVRdY0\nhFpUPTLZ0BirbSL4VcPYIMo8p86yCIwhgncWajKqeMtWliBA1g4kWdUQioYwaGY6cxMCTQ5VnlMW\nBVXIqYj76NWhoArxHmLTdQbM7lmTZQ15qMizkqxpyIxPN21HdUugJlCH7iwBd+OIEiCjJitqilCR\nDyqKuo5111QUk5p8UpFPiAOSOr0PSrNKt0/KaFMG7CAngBJ49wE4dOAsAFNyp7Gf45qqg9lh5UrL\n3fe37zm9rIflm4J5Kg1ZmfQOA3a8j2D0HVNe6QDl18jKkdWX0c2+VUz4BnAZwjbdbNyTdGu5SzYr\n7PtCz70koTirVkihz73wsotht5ZtUFnzlmUPoBpmlIOcMi+YZgVlVjANOWU2oAz5jMQEaqII9OpS\n/R2mgb/2AM5abOShAzG15EBDFuGLjJqcmoIpRVORNxVZC1BisAL0bCZLNDQhUA4zyjxnGgZUIach\nIBEipyKjmjHxeN/IkkNTk+UxzzBs5vJsssA0HzDNB0wYMmHAlCFTCipy6hYRlG82e5aGEBryUJJn\n1ey3Dp6v1NxUA43VSHMFvYwFz0JNnpVtKTSsVAyHUwZTGEwbikkDo4ag1QnLK7NqC91pkQlYNglT\nC+6/8PBFvc4UhLQgUzoJqGBeZumbxKKX1MeorexzA0zfOT5Yptfm7bP7GBmS+oBourWcI4QuL10b\n2ucNtb/XMDN45pSptt3OHYssZq7uQgvcwf0nC9FnUi+FmRUTDiDbaqKfY59OBryBKJ9okpEAWYx6\n0epDAN5G0zTD1jeTRRKD2PMgzMjHLOWqx9BZX8TnqfNAlcO0yJkOCsZhxJgRJQOm7ac0z29GA5zl\nVafrDPxo0wZxgatgoN0BWt2CUDUH4llogTCPrT1rz8ua9vcZg4951a0cUYUOWOfvVc3up5SFOg4q\nAZjdJ57fEKhDYBoiaE/az5gRUwYzsO2UanHmiESxj0fw1n2DlScF8Q68u1o6LAXqFrwjiMd7VJTZ\nlNFwQpWXFIOSfBCtmlx6ak+SnOTWAMF0+rZjhiYOmnlJ50Atiewr9VWo+AJXdwQKwLsHv9JRmj76\nywF4n55r5dAz1natP1/T/i7rTpZVB/5mCdmA0GQtc2yiJTezFGktuMwLa8+XjN+xPXfXRkkx+jey\nqr1lO0jVo8B4uaAq4qAyOKgY7VaEdo0bdO4NxOgTAbiafUHnwE7174UI3tUQ6kGI8kYeZcEqKyiz\nfGYlev0S2vYbwowABZpY5yG0jHvAuO0/JQUlg1kLVh0cWTq4zsCPNG2xNve/g1hGTdEyyGwG4C1b\nDi0UhgiGhZ0DPgh0sCfw9kam+wjoZmVoLYL59hjzFCNWY4vgHUG87AXwZlYmWRiZgXpmA0cfgPuV\nOubP4MeiVRHrzOukyiZU5BRZSZGXFHlFPqwoqoa89qGh6UrdAtv8vSI4RZ9BrM+srsnrhqKKTDO4\nDl61jum6boGstY4EymKR7kRNUypReJJFYKy3CaFjweYMnq9PaORLyCKYKNWZ/A6dH0JALDlA5ahD\nRpOFpP7i9aG9Lsykvvb+gchgE3szfa+BVj6s6+79tnVY1NHHkYWaUDWEnP+vvW8PsqM47/31zJzH\nrt5ayxbsykbWA6EnWJZk7NhWUK0kK8iULWIettYyJJXrlO34USpcvqQSkpJkmbjK2ER1UykJEcBZ\nHJyAigKhBbwYX0CUtDLYUBV08RKthKBc2l1pH+c1M33/6Pmmv+4z52gldvViflVT55w58/imp/vX\nX//6626EWQE/KxB4iizdRqGI+oPQs5I5UBIKETiFLFKrIw/IhqgTkSowEXnYHlh/jgvfceE7HnzV\nLo7cK2E8g52jVd0dRq9c5VQfGVZ+vCjnunE5GlWMUjz5xYJzTuAEIh4icL4R4ZHv6pIHzojYjb+H\nBiFKK4PZpOeAE24y6L6U2Ug2sWUN7l/TffX9dIXECZxssu/HbbWfhcs16pkzEYH78fNX4KGELFwR\nwnUCuCKA5wbIyEpE9FrOobZPCOos5WQj4haIjO8bwpUhPBmlN+vHoA7qTODD8314vuqMFqSRU/SC\nfnj9meAxG5o0EBN16KoQS+lExBttMQmz61DK+/DgC3pOh/0vIIVjPDdvFRrvICJ4kvriNy0oRkhL\nbtRX7UTOQRi/Mbvd6YDkPdVXoluXcFUF6CCEG4bIeBV4fgAhgdCJ3lwolJQoQq17T0WsP2MK9Lz6\nNL0tadNZgUoD4Huqf0e9aweBcFRfj+PCFy7r9/GgBTvullC66VzD01FCsHaiG0uQPiNvXXoT5MKz\nxXvvB72oMOYEPojxifu5Rp1E4LGnwwicigPp2jwb8GJiE6KDEAEcJmlUN9lsjzcEF3hicccgVfvu\nqmACXFKxPfCk+9FvYdnHSZWeh7dUArixhVRgnIhcPEG+jxcVQT8+N4yONdsmymJK2SBKdQDxEbwY\nE+gK2aCMbFBBzveRqQRwyiEcX3nn8TOSEkFeurA25mlT1E8YkXbgCviOg8CJIhfoU5AXrStRsr8C\nL5K83Jg0KT35ZudH2ymg59RvXctiEDq/KK7XLUOdj3RuoHtSFUMprTrbrXR1QqUwuQIijNIhqogc\nEarWRx5K76a4bQ/AREBOBIIGB2GWWluqkvMzDioZ3b9D9viMbOlN++wzjPOFfhY7bQjq2R3wUs11\nb14ZxJFWo4XUAx9dDKOx7v82kZvasSZgXVeH8TGUFeh88ub5eUSrgrmCtuetKorq5pzOYOosm7Qp\nc3JCpytqTbzW/UyvN4SIvRdeGXEi4XfnVMKJKYjSNISAZ5EypRu3lwoa0X0lkowqkU6pyUYXR4+F\nn5A9OaeEnFNCo1dAPlNC1ivDq0i4UYEKWSI4Aeugo2Y/I+7AA4KoeR+4KtxMeYQeKkK1iGTkVfMu\nYtsVML1Htyo96+fD6nYJJ/Fa13ASrm+TnohSnXIKvc24UqD7iRDSE/BdL/JqlaQT5+9sBbmGEJgo\ndevFA+R4IBwvUGpwUcnGVQQkHPjCge/QW/RYvtHCnCZuTeZE8vxa1BVLVZTO27qlQdepRB540nV5\nZfCekXrg1ejv78df/MVf4LXXXoMQAvfddx/mzJkzohV5/IRb2AWJvBVVyMyoDV1oTH9ReaDaV6Si\nFkIY5E9yiXlvgPvA9Qlce3chy5i2R1LLo6sFk8AREaWselb+DGZAopmWpsaP6Bd56R581mqh+1PK\nUmGijtoi8nGHExGfTeI24eVFEXkUY1INsg4814cbUucggEhacH0JN5Bx55ruUFSSiB99hsJB4Lio\nuF5Mxn7sxelWUcA+eROdkzc9B6VZcvqZz2h7xCJONf4WYeTZJO/d1ojpDdqtOd7qjCtq4cIVQdV9\nHUiUs4DTCDhuCNEg487TIKe2YjaDsqe9Xl3J6bSj/MerZ02y6jfZx4k3KViAypFdYoOqlNXXpxQc\nNYyRB75582Y8/vjjyGazmDVrFu677z5MmjQJAPDqq6/ir/7qrzAwMADHcXDgwAFks1kcPHgQmzZt\nQrFYxLp163DPPfcAAEqlEtra2tDV1YWmpiY8/PDD+MhHPgIAuP/++7FlyxYAwJ133om2tra6do1o\nKP1Xv/pVfPazn8Vtt90G3/cxNDSELVu24AMf+EC8Ik9fX1/Vgg5CCGyX3zD28Uye7MloehLGsdqP\n8SJfkUSOjCUR8EJk69N2sJ59Z54xw4TMaMon3PM++0xItGI306tJXHtvSuDwwbV2F2a8oIC0Gqyq\n+PG0ob0+PJSgQr2G0YgCGuJOpxBOfA9bNMrARxZl5FFEI4YxHoNoxDBysgwPvgrVhIQQ+hzPVwOd\nEMkooeNE5B1psdHThRDwhRe1CLyoVZDsIXKvu9pjNOUvnp6cWngeon2UjkktIjTnMocAACAASURB\nVCJS10jj6rxN9+TXTyZ5XakSxdpRWoLlREeqvglXBnClr55AuPBFBhVKN5GJW1O22MjBK0M/asvy\nfXb6BqgO16tVXuj59DHc+dF23CHufc9D6dF5BuevFCO+X0dHB1atWgXHcfD9738fgFqVzPd9LF26\nFA8++CAWLVqEvr4+TJo0CY7jYPny5bj33nuxfPlyrFu3Dt/61rewdu1a7NixA7///e+xY8cOPPzw\nw/iv//ovtLe3o7e3F8uWLcPBgwcBAEuXLsXBgwfrLmx8Wg/85MmTeP7553H//ferEzwPkyZNGvGK\nPBVkYq9DeZESpPfaurMNytI6u/BOOAc0YEwN+HMSCprOPjqMUNGtKuTaY7A1SrKp3sYza60iHnd0\nVRVZ8zmp40dXM2HVM1Xr6SRx6ELBfXv1vFpzFXDhs32UjhRlwEMmibjpOCJFXZEoW7iMRGlWRhZZ\noQictF3DB3ODOFQUiLzvKLrE7Dlw4lYBxeL7VTqqSSx+7DFWV65JrSNTwHDYnQPomAuzZcTfpIzy\nMfea6Zp2xcuvxPO9naeoNRaAa/KcftWZEIAOrpGWdKRD9YjA6T0l5UXbQ+bVBZdD+MZbpUnPkgR6\nZ6YcM4oeeHH0LsVBq9EDwIoVK/DLX/4SALBv3z4sXrwYixYtAgBMmTIFAHD8+HEMDAxg+fLlAIC2\ntjY8+uijWLt2Lfbs2YO77roLALBhwwZ84xvKyX3qqaewevXqmLBbW1uxd+9e3HzzzTXtOi2Bd3d3\nY9q0afja176GV155BUuXLsVPfvKTEa/IU0bOoEgiJpXJNRkldWZQpqUMLanAs0JA5GKep4sD+Wj2\nYkvUtONNRt6sVNdWV6sFrkPb3jkVECIBXvRskI2KIDV5czjxs5CXTWmhjqc0SPIClczsRDZXe0hl\nZAzvlmLdKS3pHfDno3uQuELvwoeHAhoYnWqvk1pOjhOqUbmoboVxTy2AixJyKESSTjkick3SkVxT\n5YlrvVkTq9mXIFheos8QXK124ceEHbJn0NKKfn7KDwJOvJmugQTiX3YeCuBVkRj1Zfjw2JOGsVzI\n36NJulrqoLLB5ZAksjSP81jaqac0beXtOX1NO7/WamGHMFtOZNuooZ6E8mon8LvO93yLXbt24ZZb\nbgEAvPHGGxBCYO3atfjjH/+Im2++GZs3b8axY8fQ0tISn9Pc3Ixjx9RApWPHjmHGjBkAtEN84sQJ\nvP3228Y5LS0t8Tm1cFoC930fXV1duPfee7Fs2TJ8+9vfTpRKaq3I89zf/yb2Kz66sgWzVjaDeqxN\nHQ3xft4JSMSl/pPxOarTTx2rz7e9VdqrMjV5udqr1FpgElkn+fL2/1wf1z4bkbUAJwvbO9bWcbuT\n/XRus35+fj1TGtLEQ9ovbzWYIWHck9XPYXaQcp/NlhYA1aIpIxvdUV/Rlih46GMt8IpCe+CZOKJE\npYHp6ZmEbHuAXHGWxnlaVlGW8+gmlVKq+5tyZhClPV2VP0eS/MWjp8g6M19RTtXpTDbq65pppam8\nur1Ad+UOhe2cJLVUSbCp50Wb/+kOSp7ePA/y/GE7OAFc/L/Ot9Hd2ZNYts4a9Toxr1qpNsLP7zL+\nbm1txTvvvFN12tatW7F+/XoAwJYtW5DNZnHrrbcCUPz4m9/8BgcOHEBDQwNWrVqFpUuXxvr4WOO0\nBN7S0oKWlhYsW7YMAHDjjTdi27ZtmD59+ohW5Pns338q9lp4I5Fes9a7dSgS1xV5hgB05jXnNNUD\nCOh4IhnbM+DeCllD97QlCl5AQmYpUE0+5EmZGVV7f7ZnLGLSsKOFq70WTU5U4JXF9jGmGKTTk9oi\nvKLxocMICXahJeInKQZWoeREo3xX5VXZz8QjhHiER5LnZgoWgoWf1ffUOGHUk6qSCJwIlNoWEhQN\nxSUXwb4REWr3QUsmmsTt5016PrLDTjM7bXi+4lIRv6Mt6dF5XOKqlU9se2oROKUkF8U4HJZLbbGG\nV28BHMxYeQWaV86Kr/v86Kypdtbo6Oio+//u3bvxxBNP4Jlnnon3zZgxA5/5zGcwdepUAMC6devQ\n1dWFr3zlKzh69Gh83NGjR2Pvurm5GUeOHMHll18O3/dx8uRJNDU1obm5GZ2dnfE5PT09uO666+ra\ndFoCnz59OmbMmIE33ngDc+fOxdNPP40FCxZgwYIFI1qRJ4hCvmp5GNq/1R6kG2UoIgNOfvU8N5tc\neNOfezxmZjY7nwCd6Yk8VGhdhlGvNIqOataqa5uwj6NORz203/bitA7Lm/NmEeXBW7TRuZS25Klz\nMckkDkSU6xvX5eckFWLbs6Lj7d/8WXjlxqOSyBZTm60mV26zfZSMj9MtFGq/wbIzKZ8kQacXkRSX\ne+wcxb14sx2XlFY8fXR4YnXryU4P+32bTogt35l9S9Ri4bbY8obar3ISf2/8fZg5UeU1L2ZM/Sx6\n7iHbft3nUl1WRgljFEa4d+9e3H333XjuueeQz+fj/WvWrMGPfvQjFAoFZDIZPPfcc/jud7+L6dOn\nY+LEidi/fz+WL1+OBx54AN/61rcAIF7N7BOf+AQeeeQRrFq1CgCwevVq/OAHP0B/fz+klOjo6MD2\n7dvr2jWiMMKf/exn+PKXv4xyuRyH0ARBMKIVeTjBcOjMbja3KEMkZWC76V3LQ+D7eYYPWIYkj533\nq9O1ycOheGjq2KMMzZvHPFqBPxttWjqoIAMHSmd1qwoQP1cf7zP6NT052yOrBVM9VUVMp7Ufe8Zc\nq+aEkQT+Ljhh1CZhClJ2mE28ie8ZJJ50P01wJHiRDKfjv0kqIBIXcXpVhw3WQ1LlVe0GmHmRy3nk\nZdoQVXZoiuQOCuUN21uv7r/gKWJ2KNI96DzbUdDPaktBOjKdPvUzmalpt1i5Jeocs9VX3UE6itIJ\nYYzCCL/5zW+iXC7HnZnXXnstduzYgcmTJ+O73/0uli1bBiEE/uzP/gyf+9znAAA7duzApk2bUCgU\nsG7dOqxduxYAcPvtt2Pjxo2YM2cOmpqa0N7eDgCYOnUq/vZv/zZWO/7u7/6ubgQKMMIwwrOFEAL/\nW/4g+T9ovdf0vnVonE2StsdjeyXcM6GNws9UiFw+mpMhxzruXFR75brpz2McVKwGfffjzMs9dopX\n1mSpm9PkVatn4E+u7k1EmkcBDSigAUU0oIA8isiiZHSgkedKxMU9OQ6iG9JIyRNzEIJP1ZWLUiaD\nStznkFToOSFQnwRX8bnXZraH9EYR6Xb7wq4Ikr5rrzr5/fNKxxxTasoZtdKJ+6L2s6Dqrjrf2hWy\nSaQ6noPnf02F1ZUFv46ZFna7rpq8ufNAZ9QSRpLSAVX3rPbyqytc8wytkVNpseO/yXZ1P4EQW8WW\n9x5GuPsMzt8k0hV5Tn+DoCoLAVz7NiUPTsNm0JL2zP2YDnnXmEmvlSjmQc2ClsdgOA5D4XgU/QYU\noq0Y5FAJsqjIDELpQjpQc3l7PjIZH/nsMBoyBUzAAMZjEA0YVoNV4MedNz5clJBHUeZRkHmUgjzK\nQR6BdBFIRiYikiiEKiSh1MWfspAnAniignHOEBqdQYx3hjBOqLhqReIVIx2IDFVXm9mtxSmEvFSd\n9qroEHHno4qCVxaZ+Oqa7HSB1RSgYmDMDk7eZNbPyIt3LWI0O+/4OXZkiR32qa/Fr17dYac9XLPg\nUmArJzDtKep72f4udzR4XtafPF8nVRy8nVA9OKb6ejSBo8PONytA3jqw+0P0u6yWW8z0qO7nsI8l\n79+G7anzNrbK7QGk9XxJfT9nhTEKI7xQMeYEnkMRWgBwIzLhNa9uMlL3JPd+qbDxcLFS5C9SaBkN\nQCkzuYN8ywIaMIwGnCpPwqnhSfD7c/D7swhOughOuQiHHciSAykFZBYQjRJiioTzgRANHxzEuA+e\ngoSAjq71Y4ooIo9hNGIAEzAQTMDJykSUhhpRGWyArDiQfFyNC4hoCk8JABKQIf0Qas5tL4STkcjk\nCsjmChiXH0JjZgiNKCCHIjLRtFpJTWGq9JQH7ccxCQTeUDc98AoaMYwGDKMxHsJTQA4lI2pEX8O+\nu+k52v0JybZSRx0Fy5mkbTe7Jfh0AabHaZOWTaxJspPungS7LwxbbI9bnS8iuym3qjvbz2WnhSl0\nVBO4yu/6u53/eQVKkhNJfHQHHlpptl55xLVJ5mcKXqkljYHguYOkGarYqltSditllDzhdC6U0cW7\n4XSUghyCwEPgewgCF0HgQoYCMozIRITxrGye66sFC9wAruNDOEE0b7dUnrXMoBTmUQzzKIdZlIIc\nymEOZak86bLMoCIzqAilXxdFHkXkMVicgIHh8UCvB9nnAX0ATkEtZlwBIADRICFkAKcxgOcHyISZ\nyLNXvuowwriglMMshioTMFgZj8HyeAwUJ2BgeALKA3kEp3JARegJhmidwCzM9RNJyiV5OFpL0Gko\nww3KyKOAPIaRd4rIOyV4ohKPkROMRnQ0cBiRvA8+7wmBSJzIheKyG6JqrjGWbpQnTtfihVDdk1cH\nkpFFEEsw9shEboO+hraK9nECNwlQZVXyPkmftQkzKZSPoO0wfX1uC8FOO7KCxyDpMFCzH8dOF+6P\nmt2cXBYy57rh/RNkCxE1gLhio96SMrKxk2Rew4nGDvhx5aNVbRh21BJaqls5XFO3ZaHafSFJUgxv\nc48K0rlQRhe/Dj6DgeEJqAzlIIeykEMCsiCAEiDLkWcloJY0y0qIvFREmg/h5AKIXAWO58NxQ0jp\nIAhd+OUc/FIOYdFRW8mFrAiEgYMwEJAyKsKOiGavc+FLD1J6QDnKmOOhVyaJlpoS4wO4k4pomFDA\nuAlDGJcfRCOGkEWJFRIXw2jEkD8Bg/2TUOprQNDrwj/pwR/wEBZcoMT8O1rWLFrxJF6iii+sS4iG\nlcqSh0A6KEoBP3BRyWVRzpSQcSvRLIOBQRJcrKAoFyo2XKLh5KkKuBKgaLmKfCSnZKO2DFcv9f1U\nRaFnJuHdvHrtIj29gY44rwde5AE9cIlIS1UKNA+HjnnmPi0XO+h82yvm3icfbGPbYaOWRk/n2Ofb\nnjO9B1Pg0SSYNONmkgdOfS32vDUl5OJKhtq6yvVw4md1o3yhY5L8mEy5ps1/I+EpqVXsJpAz7/TU\n89d4xmyEFZZryP4i8hgVpB746OIPb87G8OA4+ANZyFMeMCjU0ndFqEnoAUVktKhwI9saAogGH04m\ngOOpWORQCshyBmHZA4pCL/pK6yvydQRpBRi+0b4GuqcE8lGF0ViBO74CJ1eByAaKREtK14YvEPge\nypUMCn4jCsPjUDwxDn5vBjgB4CTUc9ESYXQ/WgGFVq5hi9GCRnmTBx5Js3Ehd7JqFj+BeMUhz6nA\nE7Z3G3muUqjFBRBdR+oQMkDGy3epFo/pNXPypSJGBK5IXPcuZFCJxSvllYbxCFGHkZGt/drSB296\n01PrXhJ9Dic1gIiaa9R0HZOAbS9QRPSG+CrS8Pxs79gGl3LoCoLZzPdzQuQjRHUFVB3Oyscn8vl9\nKB00eWdQjkiviHxMiGSNCmtVHdE0oVkYVYaq1aKGJvF3Yo/mtPVxWxLjIZx0bpnlpBKzr4gcimED\nCkEDKn4OFT+LSuChEqgWdCnIoRTmMCpIPfDRxdD/nYJgyIEcchR5F6BkizJMAieZoYFteQeyIYMw\nk0GYkRHZiUg7FnphXZu8AU3UtIhrDppMqbJokEBjCNEQwMn6cHMVOF6IQHoYqozDQGUCwooLWfAg\nhz3IQQE5IBAOuggHHIQnXWAQukIqs+chz5s8fPK4w8heWqSWb3zy/UBA+gJhxVULNnsuhBtCROsn\nqmJIno9AKF0Eoau0/EieCkMHYVQDCCeE40gIR6oFHzzdBZxBJY7UMef9qxib8tIR6/AuAmRRQQ6l\nWH7Jo4AcynAt8qHRsLwvw/T8KOkollh7pEmkSaSeRDacuImgzTA/M4DPHHvpxP6pvqeOJOGx/zqy\nyGwL6Jh0LybdSpyi9oyK6mm1bs1n5datH/5clG7kzdoatERS34eWKbj0pKUZPsCtmrx5ilEVS+cQ\nWZMQN4jxGMAEnMJEDGCC+l2ZgIHiBPhDOQTDOciCA1kQCEsCYUn1Q40KUg98dOGXM/pOjdArY/NV\ny+PFUKPNhyJEXwAloReatSf9Iw2ZX4OuY++TbOPrOlYEUBCQnoPQywCOo7xeCQQVF77vAgUPsuAq\noh6G+ixEWwla684yO3NsI7KW0X0pr9oL8tLzx8/pANJDICUQOJDlDHwvgOP4aj4RhGoSKGjZCABk\nVNdRxSigPG7HCeGIQK3WYwR5VWB3VnI1OYAbyRnaQzN9Tu6Dap2Uv1TT67ZD0rg3qqUQroMnacwq\nhUKLXvTRtkepO/x4eJsXk6n2lM1ioSmQR0bp6bNsiYgs5iMATBLPMLJUtuo7V6Ipuyrx9+pZDEl2\nMTsIeZpQugTwUI7Sooxs/I75G9MVgxkdZleedpqSdDOEcRjCOAxiPE5hIvrlZJz0J2OgOAlDpXEo\nlhtQGG5AYSiPcCiDcDijyk0ZJg+MBgqjdJ2LBGO/AugU6FHvnDxpq0C9SL7SOV8ol86hiA6bwDls\nj5ZIk86l6xQjmzwBZASkKyDhQdJqyXTPEJCBUCRfgd7IVgkty9BqKFaHJDxoAucdmCTzcNB1Y1sd\npe1XXIQlCd+VgBsCng/hBhAO80wj79oRIYQTwvXUkmqOG8JztO/nwrcIXHt8Knk1WXENm0saducT\nEVUZWYNQXPA5rpMHt9jQgoQZJsfHAmi60X47t4ei7m39lWuvJaba85ViiNjjdI2rhNDoJDYJPCk0\n0Lw/14OJBOn6Kvf5cSsnF4sQZp8FeejkK5tpa0tKKr0rEXHTdTRRV48ApVaVWWHwKB51NKUbEfcp\nTFTEjcnolVPRK6fiZHEKhk9MhN+XRXjSgTwlIAcdSGqpUtmmV505bdYYGfzTH3IpYewJ3Oyy1y+N\n/ybPlMicamWqmWkj2NoxySWu9ZvIk29Zdiwd51hhTbziINu4RMP/J5AMZNtEmwPAkWpz9XfhSBVC\n6EgIVwKehHAB4Uq9L6N/wwkh3ACOCOIZ/QSkmm9bKHnEEQFcJ4TrRpE9gkc08IBOU/HkaaC8LTXY\n3hyoowfdk0dGkTol5CLFU9EjUZbpyRHV8M5UU0Wm73Y8t+n1OxF96WEy1a0DCZP8Amje0B25PipV\nGrWpnWvbtSzkoAJHrw7ESLTaR9czJXL7uF086kVr/nq+de7D2wPb6Jp8afAQWhoimYp7/OoZZJSK\nIj5Kp5qIpBat8lNlXUQORTQYXvcpTMRJTMKAnIBBfzwKlQaUy3kEZU+Vad7atsPwpfX7vSAl8FEG\nER+Be9o+tBbOP+k7J3LyeMlq7t1m2UYRHvSbdO8slJxB+zmx1u630jaPNHSWe/+cxIm8nTDapNK0\nHcn06UjmcNWncKTx6TgyXhihOlQvjAnJZZ2cPAywdlidQizBGAVYIkBIvnusjlNjn/RPisanEEQ+\nstNcuNqvsoOsUfdWQ7BtaNo3wYmTVz6KlKj2pbEFPjJwos5XPrTb1L55RWCGvenjuNxie9h88Qku\nOWi79FX0yFdN2qSS88geTuLk9dcicLqv6sT0qtLUfu+0j3vbPL257FRBlo0a0NLJIMZjCOMwLBtR\nqmThlz3VeqUyQf1R9KppST36nRL4WeG0BP7f//3fxoTif/jDH/CP//iP+MpXvjKiJdVir5RIksdF\nU4ceRWn4CRt539zzdWF620TmtsfNf1OURwAt2ZShWwIctkdQz0MQ1sZt03KjWoDWAeBGieEEkNIB\nZBRdA9UxGUIAoRpYhBBxDHw8W2+0IryQEo4ERLxJiFBG+0O1cHAYwpESQobq/+i4WlDLngmrElIV\njeP58LwyspkKsp6OgaDh/kTeDfFAIB3gplfZVAKGTY+kGGuf1wcndO4Nm/6wra0nxyxXzyFia+SC\n+cHaU1YyDJEziQsCFIuuZCMKj7OfUi+mbHreZidtGRlk4BvBmCXkkEMJBTQYFSGf6kCHGOoFOgj0\nrzlXih0TZJ5Dac3Vb91n4MXPWo47LPX43cFwPIaCcRjyx2G4PA6lYgOC4SxkRWip0INyoKjlzAMO\nqByNBt5nBH5Gc6GEYYjm5ma8/PLL+NnPfjaiJdXwC1nfy+UvkmnPxiatY/W8SKaUUm8jjMTj1o7b\n6WHfx5BMoFsEXCfPSMALlJ4ded6CeeCJJkkBGUWVyMABQkX08RYInT5UGfLKLyk9bZCNRoUogVwA\nN1+Bly8hmy8jly8jL1TESaPgA4CKaBDD0dD/AvJCkzvfuO5uTzPL9Vj1Kkyy4Rp7NQHpWRiTwKNL\nbO+aFvewFxsgq3lMDpEsjQiusEnPSsjF37UWzjVvGM9JrRKqBoikOXHbGx/kw5fRI3qmq9tpo4MV\n7XGZelk9PXbTMyqoCjIoSz7qORoNLXMo+g0oVnIoFXPwizmEhQxQdHWoMHX08xZ1Uj68Sbz3uVD+\n1xmc/3/e2/0uBJyRhPL0009j9uzZmDFjxoiXVEMjqr3Uen1Zss7GY7z5sUB1ZuCkHyQca2/2uZzA\nk7x0/iz1Nk7e8SYAx4k+oTpPo4V/1Xf2vOy7DIQm6kCoKJ1AVBO23Xdga4/2M/PWQ1zJsM+cgzCX\ngZ9zIHNZ+LkARW88PM9HJlOBl/HV5vnwMhVkMmVkMkXkMiXkM0W1Yr3Q3YZcdLAJiQsVnIZsX1vG\nhpuvzdbSueeup5QyA+N0WJ45A4+WjPgUZsrSSrQyUNJmR5jYlQ2PpgngQnfRKk/cRYAC8lV35sIN\n70I2r0vPzffqGRID6yqk+VeTtwtfZlAJM6iEHvwobrvsZxGEGQRBBkGoRlb7vofAdxGUXMiKC1Qc\n3eHPyZrKw2h520l4n3ngZ0Tg7e3t8VJCI11SDb/4e/39mpXAx1Yme8T1Xionn9N567anGY7gWJvA\n7ead7cXb+2t5+nZnq7BOpv9kpKRE3J1oIydmIwwSybJTkide6/lqdQh7ADICyArIrIMg4yHg/Q3U\nx0BbDtGgqABOvoxMvqw8dq+ErCgjI8iDZAF1gkfI8LhqvXyZEDxSgunnpyECkg30Y0cELpK0be6Z\n6hhuPv6U6+W8szMQyQtkGBD2Tx4Bopf+4/scRFNMMCHE/v90I1w1eVfr9750LUI3Wx9B6KESTYHh\n+y78ioegnIH0PcB3lQNRK+/ZG1Ddav59p1rmbDTxPpvMasQSSrlcRnNzM15//XVMmzYNU6ZMQV9f\nX/z/1KlT0dvba15cCOBHvwKWrDQ9cOMgnN4rB5I9R5uA7WOSvGwJtS7egpXV3nstr7xWBSNr/B9a\n++p10lDl8vtOtdyTXUHxAsH7AuxwTNrsysruQ6Br12phcDLv6QSuWGmGQPIIHi63GJE/EsIL4GQC\nuF4IxwlUHDptjvoU9BsqgkYIRdbCYZ1qQkXoQKj+gELXS2hcurw6zTk5qDATSCHAVv3V8km0iLKm\n0chrdfQka7wTz/CkHREtvszPdVA58H/hLv+0Ot/Ozwn5h0bFKvNk9PzcGt7/Ye5HvC+5Q5JQeuFF\nZD95LRDafQSqjyUMhflbRr+l/h2GjhpjEEl3oR/Jd9JJznP2d8DM+4c6gUUrdbpwrB0FCeXmMzi/\n/X0koTz55JNYunQppk2bBkB53SNZUg2HOs116GphJNq0jXp6LoddgF7vBK5OsIl77Gd7f7sy4N9t\neZvv/10nMHOleUxS68EuFLZXw8+tV6BGElVzrBP46Er1ncszSS0N47eAFB4Cx0PA36vdGqnVaklq\nodH+Zx8CJm0084tAcv6p5RjUO/Z0ebDWuR0HgOnXm88xkvvxY0bb1o6dwMwv1c6ndl5Lyntnck69\ncwm/7RwZH5wtUgklGf/+7/8eyyeAXhbodEuqoQg189/pcDa62NlWnrVsOpPr1dLez2Yf96iTjuP6\ndNK5SbaM9P96aADQlGBLrd+cUMVZ/m+ThN3KoeihWteuZyvffybHj+SYYQB/rGPXSO43UpvqXZOj\nD8Afou+ny5O1HJGkfafLR/XyVgEj44OzRUrg1RgaGsLTTz+Nf/3Xf433ff/73x/RkmqoQGXuCwkX\nok31vOKRFtjRRhbAuHN8T6A+QYS4MAtpGWpenAsJw1ATrV1IGOuyN0Z5Y/PmzXj88ceRzWbjZSUn\nTZqEhx56CP/0T/8UH/fqq6/i0KFDWLx4MQ4ePIhNmzahWCxi3bp1uOeeewAApVIJbW1t6OrqQlNT\nEx5++GF85CMfAQDcf//92LJlCwDgzjvvRFtbW33D5BgC1apyuqVbuqVbze09881aOfLtDO63b98+\nGQSBlFLKO+64Q95xxx1Vx/zud7+Ts2bNin8vW7ZM7t+/X0op5ec+9zn55JNPSiml/Od//mf59a9/\nXUopZXt7u7zpppuklFKeOHFCfvSjH5V9fX2yr68v/l4PYzoSU17kHQQpUqS4yDBGHjgtZgwAK1as\nwC9/+cuqY37+85/HMvPx48cxMDCA5cuXAwDa2trw6KOPYu3atdizZw/uuusuAMCGDRvwjW98AwDw\n1FNPYfXq1fGAyNbWVuzdu9cYSGlj7IfSp0iRIsW5wjkII9y1a5fRH0j4xS9+gT179gAAjh07hpaW\nlvi/5uZmHDt2LP5vxowZAADP8zBp0iScOHECb7/9tnFOS0tLfE4tpASeIkWKSwf1PPBTnWqrgdbW\nVrzzzjtV+7du3Yr169cDALZs2YJsNotbb73VOGb//v1obGzE/Pnzz8Los0dK4ClSpLh0UI/AG1eq\njXD0LuPvjo6OupfevXs3nnjiCTzzzDNV/7W3txuk3tzcjKNHj+pbHT0ae9fNzc04cuQILr/8cvi+\nj5MnT6KpqQnNzc3o7OyMz+np6cF1111X16bTDZ85a+zduxfz5s3DnDlzsH379rG6TV309PTgT//0\nT7FgwQIsXLgQP/3pTwEAvb29aG1txdy5c7F69Wr09/efc9uCIMA111wTc3viFQAACkRJREFU1+wX\ngk39/f248cYbcdVVV2H+/PnYv3//ebdr27ZtWLBgARYtWoRbb70VpVLpnNt022234UMf+hAWLVoU\n76tnw7Zt2zBnzhzMmzcP+/btO2c2bd68GVdddRWWLFmCL37xizh58uR5t4nw4x//GI7jGIP9xsSm\npAnxam1ngL179+Luu+/GY489hnzeXL8zDEP8x3/8h6FVX3bZZZg4cSL2798PKSUeeOAB3HDDDQB0\nCDYAPPLII1i1ahUAYPXq1di3bx/6+/vR19eHjo4OrFmzpr5hI+6GPQP4vi9nzZolu7u7ZblclkuW\nLJGvv/76WNyqLo4fPy4PHTokpZRyYGBAzp07V77++uty8+bNcvv27VJKKX/4wx8m9iiPNX784x/L\nW2+9Va5fv15KKS8Im9ra2uTOnTullFJWKhXZ399/Xu3q7u6WM2fOlMViUUop5Ze+9CW5e/fuc27T\nr3/9a9nV1SUXLlwY76tlw2uvvSaXLFkiy+Wy7O7ulrNmzYqjF8baplqREufTJimlPHLkiFyzZo28\n4oor5IkTJ8bMJgASC+XItzOgv9mzZ8sPf/jD8uqrr5ZXX311HEUipZS/+tWv5LXXXlt1zoEDB+TC\nhQvlrFmz5De/+c14f7FYlH/+538uZ8+eLVesWCG7u7vj/3bt2iVnz54tZ8+eLXfv3n36Zx7xE5wB\nXnjhBblmzZr497Zt2+S2bdvG4lZnhBtuuEF2dHTIK6+8Ur7zzjtSSkXyV1555Tm1o6enR65atUo+\n++yz8vrrr5dSyvNuU39/v5w5c2bV/vNp14kTJ+TcuXNlb2+vrFQq8vrrr5f79u07LzZ1d3cbxFTL\nhq1bt8of/vCH8XFr1qyRL7744jmxieM///M/5Ze//OULwqYbb7xRvvLKKwaBj4VNACTmyZFvY+O/\nnlOMiYTCe1mBkfWmjjXeeustHDp0CCtWrBj5RFxjhO985zu4++674Tg6+c+3Td3d3Zg2bRq+9rWv\n4WMf+xj+8i//EkNDQ+fVrqlTp+J73/sePvzhD+Pyyy/H5MmT0draet7TCqj9vs4mkmAssGvXLqxb\nt+682/TYY4+hpaUFixcvNvaPmU1jJKFcqBgTAhfiXA8ZrI/BwUFs2LAB99xzDyZMmGD8J4Q4p/Y+\n/vjj+OAHP4hrrrmmZpz8ubYJAHzfR1dXF/76r/8aXV1dGDduXOL87ufSrjfffBM/+clP8NZbb+Ht\nt9/G4OAgHnzwwfNqUxJOZ8O5tq9WpATHubBpeHgYW7dujWOegfpjQ0bFptIZbJcAxoTAm5ub0dPT\nE//u6ekxattziUqlgg0bNmDjxo3xfC00EReA+hNxjQFeeOEF7NmzBzNnzsQtt9yCZ599Fhs3bjyv\nNgHKA2ppacGyZcsAADfeeCO6urowffr082bXgQMH8MlPfhJNTU3wPA9f/OIX8eKLL55Xmwi13ped\n948ePYrm5uZzZhdFSjz00EPxvvNl05tvvom33noLS5YswcyZM3H06FEsXboU77777tjZlHrg7x0f\n//jHcfjwYbz11lsol8t4+OGH8fnPf34sblUXUkrcfvvtmD9/Pr797W/H+3kvcN2JuMYAW7duRU9P\nD7q7u9He3o7rrrsODzzwwHm1CQCmT5+OGTNm4I033gCgFu9YsGAB1q9ff97smjdvHl566SUUCgVI\nKfH0009j/vz559UmQq339fnPfx7t7e0ol8vo7u7G4cOH49F4Y41akRLny6ZFixbh3XffRXd3N7q7\nu9HS0oKuri586EMfGjubKmewXQoYK3H9iSeekHPnzpWzZs2SW7duHavb1MXzzz8vhRByyZIlce/x\nk08+KU+cOCFXrVol58yZI1tbW08738BYobOzM45CuRBs+u1vfys//vGPy8WLF8svfOELsr+//7zb\ntX37djl//ny5cOFC2dbWJsvl8jm36eabb5aXXXaZzGQysqWlRe7atauuDVu2bJGzZs2SV155pdy7\nd+85sWnnzp11IyXOpU3ZbDZOJ46ZM2fGnZhjYRMAiSly5Nsl0Il5RmtipkiRIsWFCiEEMP4M6Gzw\nfbSgQ4oUKVJc8LhEtO2RIiXwFClSXDpICTxFihQpLlK8zwh8zOZCSZEiRYoUY4uUwFOkSJHiIkVK\n4ClSpEhxkSLVwFOkSHEJ4VIZoTMypASeIkWKSwjvr17MlMBTpEhxCSH1wFOkSJHiIkXhfBtwTpES\neIoUKS4hpB54ihQpUlykeH9p4GkYYYoUKS4hjM18srUWjC4Wi7jllluwePFizJ8/31gE5eDBg1i0\naBHmzJmDv/mbv4n3l0ol3HTTTZgzZw4+8YlP4H/+53/i/+6//37MnTsXc+fOxb/927+d1q6UwFOk\nSHEJYWxWdFi9ejVee+01vPLKK5g7dy62bdsGAGhvbwcAvPrqqzh48CD+5V/+BUeOHAEAfP3rX8fO\nnTtx+PBhHD58GHv37gUA7Ny5E01NTTh8+DC+853v4I477gAA9Pb24h/+4R/w8ssv4+WXX8Zdd92F\n/v7+unalBJ4iRYpLCGPjgbe2tsZr2K5YsQJHjx4FAFx22WUYGhpCEAQYGhpCNpvFxIkTcfz4cQwM\nDMSLVLS1teHRRx8FAOzZswdf/epXAQAbNmzAM888AwB46qmnsHr1akyePDle/5VIvxZSAk+RIsUl\nhMIZbGcHvmD0mjVrMHHiRFx22WW44oorsHnzZkyePBnHjh0zlpFsbm6OF23mi757nodJkybhxIkT\nZ7XQc9qJmSJFiksI9aSRQ9GWjNbW1nidU46tW7di/fr1AKoXjH7wwQdRKBRw/Phx9Pb24tOf/jRW\nrVr1Xh7gjJASeIoUKS4h1JNGFkYbYZfxb0dHR90r04LRJHkAapHyL3zhC3BdF9OmTcOnPvUpHDx4\nEH/yJ38SyyyAWrSZvOvm5mYcOXIEl19+OXzfx8mTJ9HU1ITm5mZ0dnbG5/T09OC6666ra1MqoaRI\nkeISwth0YtZaMHrevHl49tlnAQBDQ0N46aWXMG/ePEyfPh0TJ07E/v37IaXEAw88gBtuuAGAuSD2\nI488Envsq1evxr59+9Df34++vj50dHRgzZo1de1K18RMkSLFJQEhBIAnzuCMdSNeE3POnDkol8uY\nOnUqAODaa6/Fjh07UCqVcPvtt+OVV15BGIa47bbb8L3vfQ+ACiPctGkTCoUC1q1bh5/+9KcAVBjh\nxo0bcejQITQ1NaG9vR1XXHEFAOC+++7D1q1bAQB33nln3NlZ85lTAk+RIsWlAEXgj53BGTekixqn\nSJEixYWD99dIzJTAU6RIcQkhncwqRYoUKS5SpJNZpUiRIsVFilRCSZEiRYqLFKkHniJFihQXKVIP\nPEWKFCkuUqQeeIoUKVJcpEg98BQpUqS4SPH+CiNMR2KmSJHikoAaiTlyTJkyBb29vWNkzblB6oGn\nSJHiksD70RdNZyNMkSJFiosUKYGnSJEixUWKlMBTpEiR4iJFSuApUqRIcZEiJfAUKVKkuEjx/wGj\nWQylDiv0OAAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0xb99f76c>"
       ]
      }
     ],
     "prompt_number": 44
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Data are packed. In order to unpack we have to use *scale_factor* and *add_offset* values from attributes of the netCDF *air* variable. We also convert to $^{\\circ}$C:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "air_c = ((air[:] * air.scale_factor) + air.add_offset) - 273.15"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 45
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Check the values of our new variable:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "imshow(air_c[0,:,:])\n",
      "colorbar()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 46,
       "text": [
        "<matplotlib.colorbar.Colorbar instance at 0xbd5ab6c>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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sBZ+IzNgPQb7dKYUf/uEf5tVXX1357l7qQw6bJeP5kmxuUYtIjg9hxoib7PEW\nl/gmz/AaT3PV7zOzIwAmakqpli2zO+YUjYtMbs4CxYIhBRUjZjj0ClkgYOuj+9ohFnsXy2uid1T4\n2x0OOGaTA3Y4YIfjYpPjbJO5D/Ny4yOP62OcsIv8bROAFwU6c5i8YWAWDPSCXAXmVymPN4pqmFMN\nCipf0rgc67owNK0tRttQAc0ZFrMBtS+hMUGLFk+88pHXVd0dXBIohbeAf3bgDsDdjOFNGahtUJug\nN0IokThSxGyNKc5dqjAdd3yW6LW2nlUlQCXmuXjI05Y6wlNK4Sxn2VmatKQ2w6rzqslCFIQeBVNZ\ntPotHTz6OwQwm9Bp+mKei+aaUheixUq/hZJN43wl+WGTxELIQr2Moowme9x+QQC6GQnroUKJTKF2\nJRROwuFGdLSCpH3L/Unjcid0gLsP6hmH/mDN4NKUvY2bWKM5dps4n9OcgD8kTNTzDMwIdkfw3Rp+\nTDP+wRs899R/44Nb/8Qz2TfZyo4Y5nOUCYAqyokoK6KtSmR8Q4bCRyu3U4ok7lbhW4vzocm3O6Vw\nltxLfciyXmIqFzz0OZzmIw7NhLdUANo3uMxV9jlik5qMgV4w5pQ9brITs1EkVk/qKwjPKjdb4cmp\nCYkSIarAoqjpUoiFdJDYgzLOsBIDqPAMWMSQsYYRM7bVITMzihlqo5XjLymofXCeNTZroxvQHq1D\nXK9WErgW9WvlMCpESTQssD4L7HNMstAqbGO9wfqMYlCx0ENqU9LkBa7RQRPOYmgZHuczGpvDgQp8\n3DXgSMFsCIvtGFeqQY3AF13iwxTQTdC+suisKrIAxmmGlrLR+WS7yAJXBMdWoTqQFsCEVfBbjyBI\nnXEpdSGRR6IJ62Q/aTqxgLgAczpJSIp0ez50nnqhDbY8ertBTyyqlOgsjbMK3+gQgicOs0p1FeTS\nLDoBypTfXp8QNF2yhoChOObE5D9NroVQvjsedh35Vk22WcMAXKapXYHzZjWCI6Z9m0mD2W+CI2sK\nyoasw2KzYrA7Z7x/zNb4kN3sFpUqOFA7XN+ExZMb8LQKzq/TGA3znKb4tzU733+dZ77nn3lh5//l\nufIfucwbjJhhsC0dByH6SOiDcOtVq/bUEXBFy5UkB9GCpaZKGkv/wPLtruG+m7xbfcj/9T8vMXW4\nl//+R+C5/zDhDXOZV9Uz/DMf4A0uc43zzBijlWPHHHCea1zi7TakRJxZB+xwwkbLBEnUQQCwLCET\ndMvHpmDLBkrUAAAgAElEQVRZUSDhacWaE05oBBkUmxwjZSC7tODRSluoAUtTUps8JEGQ4VTow3p8\nMYTwsBAKE3m0WHaS9vr5+L3GKcN8MKQoKmbFiGU1oKpyvFdkeROSJjJLXQyweYZfqA7glIFru3Br\nJ4YqRU+2jSAi3KNvCOihw38gmODtzRWVbxqD4i1RVYylH03gF1MeVk6jokv3lXhccWwJaBIOvWIO\nC/CIppJGAczo+FPhX4XjFL7zXHzdpAM6cTJtgNoMpUHNcIk2HryiaQKn7qq8K9wTC/m0tTIknvhm\nfJ0m/RGsSLX9jNUShKKlCv1Q0wUwNHS0yHmPOm8pt08ZbMxAQVPn+MMNquMSjlWYFAyhxsbEkU2W\nlONZG+yhlCPXDRvmmB19yHl9jR11wESdsGDIhjqh2Rlw/bkn8AfxPE7DZM5LUH7fgsvP/ysvXPh7\n/o36e76Lf2WPGyh8zN4ctVqpwq8kI0mEUBpU2XG5Qt0FcP7rv1jyN3+xRKzRhyLvR8C9l/qQ//FX\nAQtLUzAvB7yZb3OotpkxxpKRU7NJR7af5wYXuMY+V1teSMLGFgwYMkfh440LZsomxwyZo3Er0QcC\nknOGVDEeNwXcvNV/6xXuVtIbwgUKs3OaaSAa60rChDJIorGji+cVSQdmGovcJlK0/+vifjPVMNRz\nTG4p9ZI6z3Feh9oJ0RlnRh6lCNEPRY4fGXhCw6EKD2dameuYEK10QAANlwEDmOhQU3fTdCFSmlic\nJ4P5MGQs1S6GcpnAA48JYLdHZ6aPCJqX8eA9qnFQedTSY5xDO0emazIdvdWqCRNILEJPHqiXRmVU\nlMxmY06PNvBXdecMPKTTjKVQylOQPV1TPjVjuD1jVM7IY1YfhcKXqtUKTVmh8waUwnoTwvxsQWPD\nhKbw5L4h9w3GWkzjaM4ZmkXObDZkPh0xPx7RnOQBqNLEi5QDF617DIw9amTRQ0tWRMuqcTFzUIUQ\n5Myjxw1m3DAcnFKWSzyKSpfUoxxbGdw0pmlXwEzBqcbOCqpNhRo26GHDMK8Y5jMmasokPlujWEWk\nTTgYecYXT1l8/5Bqv8BVgRIbPLFk6+IBz27+C0/qNxkxw2I4jVkUUpvEYtbGc7PCPqWab+pjCc9a\nKEr1Iy8rfuTlAuU9ma/58m/cPQbdUd6PlMK91IdUQFPCPC84KDY5UpttFILCM2LGHjfJqRkz5QIh\nYPo8NyLQwZQJFsOCASNmsXKYam9kIOOXrbmzpGQWg1JmMctMajOYGFm7YNAOlAwpENm0A6SIPJPE\n/RL5JsmXkwHVlY1UbciZTWJ2hc4I1yKArvyiokOvjvZ0hVnR0g0Woyx5VjMwixbc8Z3mrEuHzhsW\n2QC75eF8gf+g7oD2lKCdXSfwu6/ROchtBioLpuglj3oSuOhQwg8uCJ73myP8CcG50gSAaIFkhwC6\n+6AueNgDte1gw6IGFpXZUMxcO/K8Ji9rBtmCoZlHrWd+Jq83Z8gJG9w42Wd5c4D95xz/jwq+Cf51\n1S3/dh647FHPQf7hJRvPHbC3cYNzXG/HikyRIjKZNpjWghELyMf7NGLe/r+gaq2lm+xxszqHPVTY\nQx0msbnqHGzr3LYJTI4aeNSowYyXlKMFRVFhdIie8NEiUrhoU9UtWFkMWlnmRUldFHiyUDDpiGA2\nZopms6SZlpi9JZmeozPHQC2iHXbaOqoGLMiog7NrdMiTo9c5Pr/JyUsbWAwKzxZH7HDABa6xx00K\nKioKLFtI8o9IGhkkCkSg5MI1Fs02vc+izEgqv9yP3K6Xb7tP+XaPUviZn/kZvva1r3Hjxg2eeuop\nvvCFL9xTfUhtQ2r5yC1R7giVwSBfMGHKHjc5ZJsTJoAio16pHqRxbQKCAJBosgbbDiThY9NssFTD\nlP2IhptGMoQYWeKAC5KS/xYb5+ScirIdcGI2nZWlJmDYOe8kBpMWbAcs2uSNLh54wJwBVZKAsXQl\ni8UgrGhxmuPnAUz9EqgUzoY0YEkF9guzWkdAKnqlcezniXwmsAv5cwuKDy7Y2Txgc3zMIF+Q6wYa\nsJWmmecsqpJFPWDaTJjWE+q6xFZFKBq14RidnzLanbIxOGE8mDLIFxTZkiyJ1ChMRWEqSrVsayPL\nBNg9uC6arjkzxhyWu9zYOc/Rh7Y53tvk+IVNpkcT6tOQjWc2G8qdJRvnTtjZu8WF8goXuMp5rrcx\noF1cShAf70o4xojD1luwEyfoYTtxjzhlFMdcwZItjjDGMpwsmOVjqs0yXHun2rhr4XIdYSmoRmVY\nrSHzmLwmMw2FqhgwJ0usqS7hfdX3EADPtIle7f0VPvwg3GM3z2imA07PO9SOZ1TOcJmOz0vqLA6T\n/oRTznEDKRIllJdEFQjgCxXX9a6z46RKShM9eCl9Jq8hVNMixaJot7Ro5zHWUdQPicP9dtdwz1yn\njLuvD6lssC4HrqZwNQVLNvJjJpyw2wLuZgusaTJDE4ejAJmAbICm5W2akQzOs+ovGGxL9MMqUS8A\n2SQDJszUGU38XxX1XwF0GXwS5SCUhfwmOWwaG3UXEy9402ovUrEsa8+0IzfF0ztzQ05mWyxujuB6\nBjf17YkNaaGlNMIm9bqfxFdN4DhHhBz4D0L+fUsmzx9yUb/BE+rtlqKRfiwYcMIGR2xxozmHry8w\nP9hgeaBRhScb1GzsHLA3uc4+V9njJhucMGSeUDcdZy4uzPQ+iTfbtL+FB/242OSg2OHK1kXefuYJ\nrvp9tD3PfDqiXuYUgyWTcsr5/DoXzRUu8RYXY6GUMacMmUeiJk0n19EvUHDCBte4QMETLbiIw2dJ\nGe8n7bkYThiYBePRKbNRoKukPkdaG6S9hz5jaUtqm0dQdhSmYqjmjGNMeQA23YL8kjJJDQh98UqF\nanNjh7IuxIA7unKgFvzMYE80MzTewNbWEZUpsapDIbnOokmLAiCAuk6DiRKzmprvyKgTwA3jO63q\nJ/9fKTjluwQHFcw0MmvJGkdW9xzuwxFJk/fRn5A7clczUEuGasGcikXkdDrtNNz0Juo/6QwsN3x9\ncMNqnQQZPBVF+17CVAK5n0Y8yXy7Wr1M9i9h3GIGpYXU5SEN4dyDaBaGx6Rk2QJ7B6uGOQOmTFpv\nrwCPaHuaEDGxpCSzDnWo4I0M/j8VsoJuEE1ZVj39aaaWnJwE6ksYlqNL8YyVuAaDJZv6mLE6jcDS\naaBA60gsWWK0xeSW2dYJ88GI0lQMzJy98jp73GCbQyZMWz4c1vVLWleKXA8ID2kXCG9bbUy0rW0O\n8CiGzNjTN6mHOa7UGGMZmAWb+jjqqAdt2b/AW55Gp6h4xjvveBO5yQ1OIr+5ZBTPNUSjFPHemRZ0\niIAlx1gvIZoWYbIE52etc2ws+6lUiGAR6koSdSQ0UXTIztqKq3YUHqMcdeZo8px6kOGHGX6QdWUw\nZ8BM4Z2hWgy5/uQ+bk+jBoEXtxgmTHHMbrsnqbUXnqXO8ZWm0wtplqYRyfdSVa8D9CrWTagobE1h\nG7oyd5GBsR5jPdr2gPtwJIbNKBOc8do5Mt+Qq3pF0xNTXbRZ2zrADCE/x7WEu3Ct6wXLA7cqtRpC\nDQYBctlSQKQD3g5gBfiaqAOJ+2wZi+BIXdwwu7sV3jY8MEU76wvPKwO5IThoFgyY+yEzO2beDJnX\nQ7zTKO8Y5nPGxYyhmVGYmMLsavRcwS0dwPZfCKFfJ3QrskrwvYRJiSfcs7oIoDAbjsB1xQQo1XhM\nE1ZM1rpjoYuoxQAtaKlYpGeeHbMYD9oswD1uss0Bo5g/n1ZWU8nDmZrPso2ie+DlXgpsSTjRVrx3\nE3XCUt0MTrD4v4yaYeTyJ0zZ4KR9P2HacvIdhdF51BeUbDBlyIIigmBOzRFbHMfsArFiXJxsBVAC\nJ9rVB1kBWjrnp9MdtdWl4MgKKIF6WDCME0HnIwhXL8OoWJ9D+7gQrkdlKqTmZjFzzhIiJ+bAkaEx\nJYcbO9ixYpgvyEyzcvz1QqU6ue66HdUNqSeiA9wOaNOa1ALM3XNaU/iK0tfkTUNeRVNMTtOH4mrK\nhvZQ5DsecCUFM8Z2ygD0MRRKHgLRRjvzTBIWVNSFTlZuchdR0HFJsnTPPN7uOSOmMU230yKD2Soa\nnKwKIZqqvJd9Sa0FifsNzr3TloMV51nQyj0SBmMxnLDRmohzP2DpBjTeUFUD5tMJ9a0Se8XgTxWq\n9pxctGRPNexvvsW5jasUVIzVjOOy7haNlDKIBauOmnRpdPmtItAP4jw7ie+vxRZLC07zTdyWYbi5\nYDw+iRl7vn3oADI0BRUTpig8EvM85rQFthEzhK8OGqHGR75QqKCCqh0aIXZTxfsh24SwObn+EvY3\nYI5HkUdwTetkdJ7wOWNmbHLMFkct+ErtjW68dIAncSzi2BnHc7nBOW6y16bdSOW51Jcw5rTd/4hZ\naxFJpIyMhzQEUcZtANrOOpoyScCqWYmfqWIMXGUL6mVBvYip5krDxIW08rHuwu5yYKjwmaaxBVM/\n4YitdjKRLC9HtUIDdGWcUjIjLd+0WvKpU3bsymRmsEGp8jW5bSiahqyyZJJmHgFXRdBV7iEC7gNw\nuA9axuBu5L0H3Cp5n4VYe117MtNQ6ghHasksxvYJ6ImIRpGaKQK6wIpWJNuL+ZeaejoBx3Tgh2Sh\ncJfkIW9BUqIH7YClLcl8SJiYm2NGesZALUCFOgy1L7A+o3GK2uX4SuOXmtl0xHw2ZNEMqHyBKxRW\nFVTLEfZGBm/Q8avKw55nY3SYmKp0q09IqNGErr5BuAirdRKKeN1lNQZHeBClRm1OAN4NYAeWNwc0\ns4z5aNQ6P9LrLuLRmMT0N7i2kLSYxwJpYfvwRKWao/DtQY+TEL26vS9y32TiE847xHf6GFuiW00s\n5SEHiZY7btf4CJRC7iPgeo9S4TXzNt73GQO1bMfjgEU7gdxkD8Mux2wmcNI5R4UKGXPanptM1BLw\nN47UhvDAYcLSbYTEjBGS3CMx4ZJgY8gJuRIZGba9dkZ7VFmjhpZ8bMkbS1Y1mCpQUhiPH3kKs2Sk\nZm3fUsojRAnI8xGeI0mVT4tDyVl31abrtr9CmcnkZ7DBinWW3NZklSOrLKYCnS6hliaKkIzlB5UH\nQLQHLWPwHnfvLkVqc0SuMfOOkfXowSl5WYMJCQALSk4ZYRm39RIgAGqePJDyEIpWGwbJckU7AFrN\nwaFazldAJABt0HG6h75acVyE0pGBa50uJsxnI5QNgDMcTRkMZgyyoAlWknHWZDR1RrPM4FqGfzvD\n/jeD/ReDnQWPNU8q/L7C7ZruurSFvB0UFmt0cFT5DabNJtVxEWJPZfIq6AqXpPUFJOg+rk5MWpNA\nNAtJi00rcuUelVmMatqHqUi0HKDVXgYssJjWshBaSPg/meDkAU8tEnFSysPdVS6uWseNgK2Agtx/\nFakDger0t9QpJ6vVdUktSwZ+wcAv0S5kPCp8KMJmHdoFEDLGoYsYvka9pvGecMQWJ2xQUbZaroCz\nhI5JKGFN0XLGGZYx0zYGNo2mcZhk8urATsaoEFI2Tlg2MzTDjCy32CYjUw1FtmTbH7HjD9l0R0zc\nSaBMlMMZhc9CunmwEkIhGelH6gPpHFxhcSqxNtLCUEIVyBhJ/SjtMgCuieBvyRceXflQiz1dJNi1\nB+0stIclD7Cm2YOWMbgbee8BN95Tr0MaZaMNtcpZksWckxhbGjWYNFxLyimmWudZ5pl4XiXmUrTc\nioKMpg3rEXM3cGbBKWLJoubWgbjExlZiBLuCpQ01DZQKK5/UPlAREhrmCYHjCk+mbAwFMiyrAfVR\nEdJuJQ1UcvALuhqvkmmlYN4MOZjtcjqfMDscU98oAjUgiw7m3L78VEG31Iqk2qYZTBsQrdwQpbAP\nxQcXDD48p7w0ZzQ65Vx+vY1QSBNCwm0M7iMBwnX+blVr6qgi0YI6R4ttgXzQ3gWhd3Q7HmRvck/y\nBGQhhCKtA24HKosWdAsqSheaioAr3KFpfKgp40GbMPaMcQz0koFaMNanbBKcccdscsJGjNkdtA7Y\ntOCRjM3wmmHiBD+O2nKYVHzrr0iBe8icCdOW+hC/QhjXFSPmTNSUjfyEyhTY3JCrEJ99LiYL7XGD\nHQ5acz8lCLromdvpgVULsktUGLZlFSO14Gty39EMSAScA+U8xoUkEVM1ZAuPmYM6a63KtPhREq/8\nUOQdEO0v/gr+4v+6t93dSxmDu5H3HnBjyqcfQbMB07LkuNjkRI+Z6kmbJjtniAeKSPoWVIQlckat\nxiuDeoOTFeeDfC/co4QcSTWwYI4F7tZGID5mk1PGrWdY4nDD+zD8BIxV5siKCp8ZlPJhAUgTtIhM\nNbHVlLqizJaUgyWzwZjT/Qk3h/scnt8L1MEBnVNLcvEtHfeqQi7/yek2s9kYdzXHXs1xb8VQMMft\nlbQEbDcIWVdS0zqP28dKe0hB7x1CONiHYfL0MRcuv8X5yXXOj66zk91imyMGSc67OM0cChVN0FDK\noGl/72iCLgxo1eT0cSjIlRVwFGdWUHnqCKsSkWuQ2pGiDK3SRx3gVi1YpBNyS2O4BlNHZ6kP2q2O\nJYdVbNo6smZJkTWMsymj/JRNfcQOtzjHVmSDhRXeaDMfpWhSOD/XTh6ixQfAPW3jxyWpQ9yC4gxO\nY7cFcMMtNu21k3Ha6IxGZS13fY4bcQmb4Lgsonbd2Q+dYiM6qXDZaQGatEnih2SHGRoy35DZLrxL\n+VC3IWvAxNWO1dKjFj4sUrFeTzkNjEipBalY+TDkHRDt5R8OTeQ3vnRvu363MgZ3I+894EYz18ew\nJZtp6rxbf0w8v4G/szGVd9AWBIegCYjzZMicHQ44xw0mbsrYnzJqFgztgsJWKO1pMkOZVTitOVVj\n5gyRsjOKUHFswCIWl9tqNSuJV5AHRcy9UTbDD1S3bHoeYty8UmGlBx8elEwHbWbLHLORn7AYDSi+\nq6EcL2gu5dTHMV7X5thlzBiq6BxeKsRU1tOSelnAFQ03YxpnmiY6paukVRLqBlzyoQ1UrM1LF6UQ\noxbUjoenLeNnTtl65ohLe6/z1Par7Kmb7HILqWMq2s4q4IZ15oiHFdMyS4C3ow+631ItNw0h6jRk\nCUcKVz8Ap2k5W5dwjOk+VjW2uu17B7gVpV9S+Brju6B6rxTa+rDUWFxyDBuAWCuPzhxZXgenbh4A\nT8bqkpIsgg8EXlXqX4lDTWMjfdDRGsLdAhH0iErBoqVWBEy7lUfyFYVCng9xZVplWupjj5uc5zo7\n/oAtDsniPatVyrimRZxSDrpLU5e+Sjjd2M0Y2CW5q9u0bG0dKixJEqMLPGYJOl0EOK1dLJrtehae\nX2uPQMO9H7mXMgZ3I48GcGN9FuVAe+GJJA7RUkQqwEVHwoxQojFovRLN0LDBMRe5ylO8zpP+Tbbc\nERv1lGLuyBcOVXm8ATuBcrhkUYbZfcoYRdCaJdi8SxEOjjqJoQ3aWdXO7B5FkYUMKdFQFmrATI2C\niemD99grRamWGBUcSRucgPJM9qbsbl1n+l0TTpoNTuwGp9MNllfG2FsxNVRiYj0hffZYwZEPFcBm\ndKsSyAICh3ROsk3iEtUeLscilA0hVEjMtp247SWL+XDF3oUrfHjzH3k2f5Vn1KstD9k9hIGvTQFX\nlkRKHWpdGnRXl6INB0pAME1lFodRGi8gFIGEo5WRsmhazjYNqbIRiLtQq9TCkXMpCUAhGpkzcbL0\nXfwnUlQ8Wa9NZ4FvzI0jHwb+OozJEO0iy0CdMOEk0gweFS2yMk4aTUvNTJi2Wq9w30FDn5EuGyW1\nnsWc3+R4paThkFnkf7ugMjln0XA3OWbDnYR7roLFYGMxJaEXKlaXkhK7JJ2sQr9PGLkFo2VwfKnG\nQ6QOSKu3NaCk2LksxCy0QdqEr5X15MRfl2q5D0H8Q840u5cyBncj7zng2pFCNx41Az2DQVbjixmD\nrGEzm+GMxmUKb6A2GVMzBg1HbLUsYKARFlzkKk/zGhfdFc75G4z8jIGvKLzH+DAgGqNpTMZClxyy\nzTUucIV9drmFR7HBCZsct6abrKEmnFxqioaso5yRmjFQoWhO8CwPmM9HnF7dZH40oplnNOUAu1XS\nbBTMJiMy3aCUY+GHLNSAZmhAe0q3gAEY47BbGcwh1zVFXgXNOYfZYMR8MMRlGX5qVssPWrqlwxfA\npofzDn2uQW3bEC40z0JlLDz6fE1ployGp0x2jtm4eMhT49f5YPHP7KurnOM6kgggKSWiC6XFpEPt\nCo2kdKaabAesa6a9rRjUFVnTkDW21WacVjijsZnGmlClyipNbXIqlbfXXRJhgBasJbXAxSdWFgMd\ntM6xBYWrKG2DaSy6di1PC+FVV8HkbQFCNLCYOCIOtdzVGOVA0R7d0DBkgeMYcRQuYnGkEzbaKI5A\nPJys+BvEJyEOppyq1fBDlI5qwTUA9KwNWxtxSpFMQALyAxbs2Vuca24xnC8oF8u2II7zFU7W00OH\nAksmo8mysMp0nuGNwmeqtTpy11DYmrJZUlQ12dJiar+6pFNaED5dHVmuJ921XnkV0I01k/wAbKFw\neRgLq3++P7EPgGgPWsbgbuRdu/f666/zmc98hmvXrqGU4vOf/zy/+Iu/eNfxac0G5AegT8BMYeRr\nhrqGkcIPgYHCl2H15/mg4Ea5y1wHzVaM0nHM+b7EmzzNa+y4AzbtcThAaqoYaHLDfDDgIN/ibXWR\nb/I0b/AUM95C47jI24yj1gG0sZYeKGMmwZQJJUumTDhl0hYBAZjhWTDgYLrLyTd2Wb46gGPFfNNz\nctlz86k9ssuLsLaZdlgXbP/haMbALChMRT6qyQcV1odIhbE6ZYtjdAxGvLrYpz49T7M5xB6ajuOS\nyokbdB7fDQc7DXpYY8qapgluKYagRo58b8Fk85CLxdtcyt7mkn6TS+otnlBvM2RGSdXCpIR6iaYj\nTp4uyy/1Vtvkc7Om6cZVOGzFaN5gZg7mMdbSgY8REnakcGWogmiNolYZlZG45y4m+yxJw7IymuAk\n80sGdkFeW4oqeMhXTFsIprAs0dOugUaXpRc1Lm0dha8wapUOkQQJqb5VUHHALrfYYcY4TNDM2OGg\n1ULlWgolI9dLfA5CMywoKVm0VhioduzJsdLIAKHYdutj9uZHqFsedeSTlS/UShSLlxq9Q/BjYKzw\nsYaw08HOMBXopUfNgaVHpSttpFRBur5buqCnYKY8l+u3L12AdBeaLc1yHLLxvtWA+6BlDO5G3rV7\neZ7zpS99iRdffJHpdMoP/MAP8LGPfYzf/d3fvav4NPMmqGsEp88pYdmanKCZSTm/Abg5DIqK3dEx\nzbBgVo5Rxrfm1UWucMm9xa69hVeKQ7MdnF56gBooyDTOauZZybGZ8Lq6zOs8xU3OMWOE1FgobcWm\nPYHGkOM4KG9xakZtAIx42bswQY8EqVs0S1dyWo+ZLUbUPsNvaNiFye4Je09cZ2PniPHwOHK8YH2G\nQ1HocAQPLFXJkdlmzoAmcnU5VbtUyU55wCX9JkfscrK5xVwPqVURyvfhME1D5qLXuKzIh0tU5sB4\nFmpMNRhibMNQzbkwvsITgzd52rzGRXVlpc4BhCTajIImarOGpg0JSgurCNUiQCt1HyROs/TLwJk2\nDXkTnCtZZTFzh577rmh3XPEbDWrscSPwJWRFqPNbGM9AW6xZ0kQN2BmFV7HRNYDMNeSuobQhmymr\ng0bWarFpE01XtDWZtHTyGrWxrA6TxHZxjC00qzWSw1iZMWrjkKWimERYSPSqRBqM/JystqF/lQv9\npsFnHltqfKbxWaAjRtHRK7VFShZMOGXoFgzqCtM4aGIdAlsznC8xp65bQFSudaQB5JzCsmW+Cx2M\nzlo/DFQKOjoR0zXk5FqlC2eKhrtOG6yXqUyXTBKaAdpJtxlppuWIeV4ESyIqNQ8iy7J4941aqd59\nk4cs7wq4Fy9e5OLFiwBMJhOef/553nzzzbuOT8te811wv2TBDOi4nngTNVBmlnJ5graeOssozJIJ\nJ2xzxCXeYrc5YLs+5Gaxx618l6vsc8AONnHCzRlyzCY3OMc1LnDKOIJteBAGdsnW8oRsAQMabpmb\nHJlQmEUcF8ItduabcGBZSMtdjJkvh3hjQsHry57NC4d8YPcfeSJ7i3PcWOHNaiQRI4SjHbKdODLC\nANE4tjjiMm/gM0WdZbw9vMQVLnKDPU4Zt17lLmxn3pZDl6iMk8FGdBIu2eaQD/OPPMc/8QH+hXNc\nZxy3lRKWM0YUhMy4de++bpn1LpsrmMCrYUuZj4DbVJQLR7Z0QYuUJgXEp7EJ97cBpg1l8+SZhcxC\nVuEKcANoCk1dGqxWONW5ziD4A3JbB4227mI+V46bLtcu2loamyxPgfCJ8TvTeMzMsqOOKPOQvXYa\nIxOWKnCgM0ZJkZ665XgD/9zVR9Y4hm7O5nLG4LRGSeFxBW4IbgPU0GNMw1jN2sxGiUUPlb2mbNhT\nNhdz8kUTNFA5T1mRIm3z1fNpRYBPCsYPQY0IdeelDjLJf2UpIXlNqQSXfJ/SBmKRZcl7AeS4T5dB\nM1CcZiOmasSEKQ9DrHm8y4XdkwL+6quv8vWvf52PfOQjdx2f9p/+D1pL4eV/Ay9/D93sJ7RNVzED\nahg0FRe5wWR0yn5+lWG9ZHM5ZWgX4XncdGR5CLcRbUcSHQQYtjnkaV5rV2uQ7CNnwk0eLyvKquJS\n/jaN0SzMkEZlHBFoEUndHYbaS63ph1LkZU0xqai3M7wHs7EkHyzRuktRnhGcaodum2O7GRaEdDqs\na6YLTtyERTNiuRxRqSHzfIgqPGW5ZJMjRszY5ChGT7iYQtrFSEpQ/xbH7HDQRhcETjrk5Y+Y8TSv\ncZk3uMC1dlAvKZKJSCGrH8viQRJ3qfAYb8ldTNG0MWSp9cepEHdZe0xtyWqHEdCTpWNEu1zQLVMj\n4UKyRphoTcmilioDPYcs9+jc4rXCaxdeY2hccH7ZEE9b+S64Xo4r+5fawAIcaTU1iVdWrFAKxLXH\n8uOIUTEAACAASURBVCPHqKrJ7SkTVdFsZVSbOafjAad50HAl6eGIbY7YaumGPIbL5b6mqCvMgUPd\nitdAVtOdxNV4bIOxcypTUZs5VVZQ6/B4Zs4yWc4Zni4xhw6VLvOTFphPlzJKa+avx7qm5y3L2QtA\nQleHI23pGm4pGKdJDOnKy+madKlEJ6U+gP/6dcef/d0trDkMWvtDEMv7BHCn0ymf/OQn+fKXv8zG\nxsbKb+8Un/Yff0rhChU42w2wOugozAmztJgpEG7OnKApqYrd5oBmCHoB2QmduZdbirJiw0cuVkGl\nCo71Zki3BQpfMfTzAH5qxFIFraExhuNsg8yeMFouOF9fxzVwU+9xpDY5Yis6RhrKqE2JWwhAa8e4\nOGVzfMx029A4QzZYorDYZcbcjNDacaS2ucUuV+qL3KjOsZyV2EaTlzU6czilsMuCZjpkpiYclZsU\nGzXj8pSSRVv1Soq/1ORtFlVn8tfscZN9rrLJMRNOY05TcALmNO3qGbvcQlJGLRmLmDGlcYz9jE13\nFIBcVW2okMKTuYbCLilqS16FGyCr0OAJIUGiSUqd1ir5nC4zLoArK4cLGMpDLfHDEFdAAJ2FNNWW\nDxRgEO3JJcdskvcCtlJfQAAofa5TJ06c7FuuN2px2TVHdt0xXDZh20tQ7xtO7JDpaMhYnzLUM0Zm\nxoGaMlKzNlxr6OaxlkBNcVqjr7uwlPlJPO4omO8KKJuGsmloCmgKReVy6ixcDFM7xqcV+YENheQP\n6Ra1FNBNr7dccznHFAjVWpNrJdfzLElBN9WY5bNkOArIpsdK9wHtkknqED76nOejH6mDE/gEXvmt\nOxz/HqR5PwBuXdd88pOf5NOf/nQbFnG38Wnz53NOyxF1keEKzYAFY39KftOR3fKd+ZOaInPgENQM\nTB45pWQAjd2CbOpomlOsD4vqVcOCw+0TlmUIdRnWC7ZmpzSZZlHmXDMXuK7PccwmrxtNtXud3Y0D\nymKB1pYJp+xwyCLWN9U4juIKvjfZ44jtqHUes60OOS2/yWv7z3LtcJ/jN7a4tdyndiPKyZJsu6Yq\nChbZgNnhiMXhEHdocAtFM8lhy+HPOXyu8caHh+Uo55ht3tx8MoaVTbFkaLr8+k2O29oAUtZvHEPQ\n9sJaBK1GX8UQJYnIEE5QylXKKhkjTtk4nTGZzTHKYrQNy/cYAB8KRDcO3XROLw0tx6fS+EsBPVnP\nLNW2UhM/NfsFCGW575JVLSl1vITMmNBEezprGXUpui7HFw16HWxkzAlop+AlALReBOgYzOuO0XhJ\nPrZsDBdsn5ty7olb3BrusJmdBM7VT9k+PGHr1gmjWzOKmw59LfwfG89tnFyzeFxdQp6H8LciRt6o\nygeO9piQsXjC6npoaYKBOAETProFyya5ntKkVMY7hWatRxlI8o1OPqerLcux0/jb9D6lDrh01eOH\nIPYRRLo+iLxr77z3fO5zn+OFF17gl37pl9rv7zY+rXo247QInJezGrxl4HUINVlGsJGZUkyZODhU\nBiuUTLzxg2XFQFcdHTGGxU6OmVTM/3/23jXWluO+7vxVd+999nncJ3kpUrxyGL2skLATOpJiYwSI\ngEUZiGEaBgIhkmEEgRUYAZzEMWDHg2BgGQOLMhwESaDRt7ETxEEiJBlDjkc2LAWixo9JGMRjecZM\nTNmWJfLyTd7XueecvXd313yoXt2r6/S+vOS9VETRBWycfXZ3V9dz1fqv+ldVB7gn1ofctn+FWEbW\nq0Axi9SzisNqwaXqFOWJmiYG9pp9VswpQ3dSL5f6yYpI4AonOWKby5ziJJe5Mz7DXfXTQODsyRf5\n8vqd/MkT38rlF85w9eA08WRavMBehJ2W6nKTTMkXI+Ew0B5UxBgJp9YwT3sYxLokXqo43NvlxXgb\nd4cLaNXRNodoMxjtNau9BSKh27FqnzNc4hwvsIqdk35MTHbOilnoDq6MgTK2LOKSrbhmr93nZHuZ\nncsrti+tB3Yi017Mxk1J7ezkQOusyk+klZ54ZNf6o8w5DrhLhs13tN2ktwltK6ntJ+E42MIgX4jd\nSmPMjr7pAUN5dO8FgYfKoDtLk4vJh3fBmsV8DSegvSc5BOyePWB7Z8miOWSv3ufEk0fsfG2ZzmJ7\nvnt+3cW7zXgvjG4AKjqWWK4bWDVDug4ZDuRU3hqO148zUH2fyr+C+8kqTBmrAtb+NGeLSwOkH2vv\n0owA19PYPd8UyS00VLn58erC615S+O3f/m1+6Zd+iW//9m/n/vvvB+Dhhx++Yf+0pgrstfsUh4Hi\nCszjmlloKGIknk2mI3OGDZTXdCeSMmw1qEoWS/LNtCtgB2JZsAzJpSgATbsirgPFxZb5Nbhz8SJ7\nO0dcObfL5TN7XOUEF8NZZkWaMDoIO2iD5m0Oex9KHYFTUfOt/CHvqv+Qt73wVXbrA7799i/x/574\nNv6vdz7AH569lwvP/TlW6zlcgbDVELbWnL77IifefJXVcs7RasG1Zpd6q2TrtiOoYHU0pynmtHVJ\n2aads05zibt4CoCaWeeTXHCWl9jjWr/8uaHqJ22k6y7aw+R32hTQhrR5dUibWBcNhHXRn9xbHdbM\nD1dU+20qe7FHscwp81HAKHByzdQ1Re1U5oAbs7hq+90BV8uQFxzfgEdMFHvOj093hrtk/F4H28h4\nOamAS8/WVg5nGKyv50lLtJ/p7ish/DmoLsLJbzlg665nKa82VC/VzP6kSWfI2SRZP2ksoOoOTe4Z\nqNIhyUADih+XJLlEwKXP1AQZdt3ZrYIAVwdf5te9zFwuqBizXNWNl3XFwGbFcDWgn4X2joJrpxYc\n7c661XE3P3H2ugfc973vfbTt9MhzI/5psSQ5UR81zK90m4UEaE4VrE8XxFkBc6jKJrmGSNNTJYtp\nKKVuNvmo22lGIUaqtqVctmmxxQvAc5GTW9c4sXPATnuNreKIo+0dLs23uVqcQKc7pP1RE9ie4nJX\nQMnv9BwvcG98jG+t/5C3XnuSU0dXuWex4OyJi3C24NTsKv+9uspLV29j/2CP1aKk3oadnaucXLzE\nijnzZptwUBNj4MTOVUJMPr2HO3scnthje+uAvXCVM1zkHM/3E3WLjuWe4SI7XGNG3XsaaNJGmz3P\n1jXz1ZpiBUUdk94auiWtNcyO4rAySGa3gEmsMme4zlp8Qkxgp6PMFafi1XcBs+or79DqlEvGizy2\nre71jJgUjAEXhomd/IQLGDOyOPG/ywp5O5uTzP+GBLZL4FmIz0K7BF6Esobtiyu2L6+Sxvos8FXS\nwZ3SUXcZm9c68ggG5q8B7CqDR4e7ZWnwkmWgMlWZTOmmOeD6ffkEmINuDuJTkozHo7S67CAgdgtl\nD+JJaM7AcqfiaCvtrnYrwpJX4hb29Q9fP8FDBd9pNqui4mBnzno+g93Aqd1rbJ9aJqa7Ytj7dZuh\nkwmABQR0v+1COW/YLQ5YtEdsrVYs9muKF9p0HM1LJFOYyO61JcXVy9T3PM383JIrnEySAuPdqlbM\nOckVzvIib+FrrJlxR/sct7cvsVumlUB7F4/41sM/4badq3xH9SX+6K638tgd9/L/Nffx1PxOnp+f\nI1SRhrSX6V5xle3txEZvL19gFtestue8cMc5nj75Zs4sLvImkq/sKa6gTVF2u82tT3Op2xGNzq1r\nt19jX8aGsm2YHTbMrqSVfWHZ7RUQkzQUVkkX70HK3X0EAppAcd0Uu+4+mv6/mK2AwjVUvcu9UxS/\nd0rt+6B6l7zgfShnvG6metrUf3Pz13XHKRcxmfkCbd0vUDd216xheblzaZynlZRcpNd6eaErhx0G\nGWHBMJg5U3cmuLbycwbfMs3oBXZT7JWJ/DvTbSfiKu0ZhZw9q2xz3de9IVRmruV2e3/Uu4H1ViCU\nWkJecyvC617DvdmwZIu6qFjOI9VuZNak3aLWWwVNFVjOZjRbFbOqJmy1zLYayqN2vPqnA9t2K9CE\nQBtK2hDSLlBtS6ihvNayHZdQRub1mupKTO4z0oi7UXb2Yk3RtNweLjI7XLNXJBecompYLuZc3d5j\nXVZc4SSnuMyJbnu+fl17saTYbokNzI5qbju6xG1XL3FH9RznZ1/jrvlT3Dl/mq8Vb+HJ+d1pIkpu\n8KGmqmpOsM+beJZ5WHFULLhQ3c3Jncv9kfF7XO1IfuyXrWqXtJKGZbcGvmbWr2Sar1fMjxqqy5Gy\nO8WVQwYndpnLftSOOow7r7uZCsc7tYOzg5sAV7qtewcoXgGNd3pJRTBIDD6hpn17c+BU8HQLrATC\n6vzBvuvjzE5aI1Y2eiZ33Ndk12nSRJpWq73I2CoQMPo7BXAqs2DflwxkQrKIyza5T6wPlLlkkrNT\nZ7d52ecMVnG79OIeCv7uXIbYJGs0DDLRHmnB0wII3SbwuYZ8E+F1LyncbLhanGAV5rAXCAs4EZO5\nHqqWWVxzxII6lOwvtmnKgpPFNYplm3wqNUJ3FbveKTjaqViGOXWcsbe+xvbBkvIZKK7GtGS4gmIW\nh1MUStJSWDWyAyiejexdOWR7seL2xWXa3YJwInL1jl2ee8sZninfxDO8qXMFi5zj+bTst4is5jPa\n0w3trGH+Qkv5YoSXYO/aNe45vMC5Exf5S7f9Ac/dcxvP/rnbuBxOcY1dtIfsgiNOcZlzPI/2cniC\nt3AXT5FOsEoAe5UTzFmzzSGnucQJ0tE3w/Z+aSFHOvbmGjsHS7YuNhQvxmTSyuUqn9RaMnYVEtPz\nyazcLPWO7oCymohbQOv+tTA23RW/m8K29LaP/5AxYLmO6GmL2cfZmwAUhpl026xmNKPujFB/9T4H\n3DPAW9KE7mIB4RoUYqzXGLPyLYYBQm5zDpBlV2ZKm7uoudSSl78Dt34v7XkflPJBKgdeH2BUFj44\nujWitPkm9rnXguLwvO6SgPZ0Kr9iFilrmIU0Abwsb42bwhsecKum4bAoOZjtcDRbdDuDbrEd09r3\nNTPWYUYsA4TIYndJWdUU6+QSE2Mglmmzk+V2xWpR0saC0LaDW9KLEJ6JlEcx5ehk93K532jyrWM2\n4VpkdrVm1tRppN0BTkB5rSE2kXCioJrDDgecavc5EQ7ZLlbErQJKKNaRYpk6mpjk7FrN7GrN7sEB\nd1x9gXPtc7yl3u333Y0hEMrI1vaSnfkBJ8qrhDJyWO5wprzMbeULrMKcNpSmljT9BiXaKlL7B2gn\nqlPLK5w5uMLO80vK52JiXVcYA23ujpVr4wKmvAPDeBa8tmvOQleM2a67/Ahg9dfNYTjmmdIPAFPM\n1KUlJuLJgcGB0wHfJ3ByMzz/X/f6ILEH3AVhC8ptkmR1ubt2xDA5JnlEQaDsrliuTWtCSdsKaJJ4\nxRhs801kFMTcN4Gpvy//3csVi2eKHbtl5EDv71V+ZaXuAbdBeybQnAy0FbQl/ZLtoh/tbi58U/jh\n3kw4UV9lOZ9xhRNc5ExafcVpzoSLnAqXe800EihDw2pWUhYFZZUqIIZAXZasqxl1UXYO/Wvm7Zqt\nw5ryEmmvhq+SZpAr4E2kkXSXBKbaynDOoK9dJLFgMYstWFxaccfFi5y97SpvPfMERdtSrhvKMh0N\nHs+k+MIBhEsQXogDO9klNbR94CnY2T9icWHFbVyhpUgNcQHhTZHidEu5aGABp7YOOLW4zJu3n0w7\nOVH1J8a23bLQnW5rPu0frE1LTnOJvf1Ddp9ZUj3bOdW79ueTWe6aJcBV54ZBA/X18jAAoS8ucLew\n3C0rZ5tk32FgnTKhXS+UGa//BQQzBhacA2RuJuez7e4CBmO9s82u5ZNLrd2rtOx0nz2S9fQs8DTD\nQgSVb7dPSJ9nr5fG4peW7KzR68G1Zp+4dMDzQcgHHi9XZ6JuDbh0oNDYd6+TKdcyDdo5qMuzY4fE\nbs9BfSaw2iuIAQiBuihpQ0EZ/YWvPrzhNdzFcsVOdchuecAB1xiOIq/61Vv9MdMhcFguaELRaZ/J\nEb8pSpqioGhbttYr5tfWzPYbqistQXrlPukkWjWgXeAsqVMsGJtKYh5iOV2DKy63FPstsyfqwfRc\nk8C6YzXcRmpcvkZfnUCg1kC5nzwlZkf14AFgm/X0HbBuKOc1W4sl7VZBu1Wwu7Xk1HyfNm3hxCIu\nKUNDXVS0dZFW4x0s2T3YZ+tizeyFJpXDJcZA6Cu+fCWWd+zuWB9gYLJirPlElHsmiOHCcYCFacDy\naz4RlTMjN+2j/ab7XQfOvR78WQfRXBrx33PAzoODs4P6jOEU5SWJ6Uon1yIDeVzoeZVhXnYqB1kg\nKnOfHIbj/suuw3r6PM+6z92/9G5no65fe5nqHXrWZR/Pg/vhKg1bwGlozwaaM4FmJ3RgCzHQb2pe\nLW8Nw33DSwpbRzW72wfUZdrbVDvQa0NmnZulY0UOwzZH5YKySGc5paW6qUXNmpr5akX1IlTPdVvI\nyXxekQAnksD2HhLTPdnl8nJ3XY3gJAPgqPFcJc0sXyGBuMDlDAlo/zxwNwl8S8Z+wUqDGrU6hlYG\n7TKY4ur0BySXIiLFvElHXp+AnTNrbjt5uWc3oY0dIwx2zHmkeDbCflcOvrTWAdEGgd4UFWORuecT\nHo09qwFH/6+za3kH9uB6oDRjvyYAUnryeNzkdXbnE3B6Ltd0PV7XcnWP8uqDcMk0gOdBoFbZ311S\nGzkitTF5ZuicOZ0rt7Zr8lBwcJO2rHYiJi6m6FKO/HqnerDq1uUc1X/uKZLr17knQx78N9do/bra\nhXyOz0JzNnB0uiAUkaJtaYtUqVVdUy4jsytTbhCvPKx4g7uFhaplZ7mkvHaFneWKuqxo5yVFVVMW\nddrwZN30oBJngRDSXlRV01DVa0KAGJq0QcpRpHgGwlOMNyeRGXdIkgueI80ct/RrtXuXM7mnCGjF\nSrRkUuaaGvTS4nqJBL67XQa1W5OzQizO57v37jEw3RdJjVx+q9sQzgAhJtnhSkz7E2i237e9OyQN\nCs5oxUJX9l0DgHem3Hx1U1sdxVnYOot3akVTtPjdTHVAc9Mexp02Tvz1lVEh++T90ifG8kk5pUUT\nTG5WC5C8TLxcpsAm14z1frFNgYwvZdaydR3kKS8RAa/mGJwBq7ydfWswl47uTFYDKYzrMZ/wUvpd\nUnGJIQ+5VeJ17cHbQ/6eri5DjFRNJLRpuXhTtrQBqnVM22neGoL7ZxpunLfsHC3Zu7KES1d6x+dm\nAe0cyn2S/6IawQ7jFSqahBCjPCTpZU8yzIRrdnfR/fZid89TXbwnGfYKhYHlimXKb/QKwwoezS4X\nXRqk+86AO0nbMmpybp9xJ4EB4J8jAeMeA3juMAbDcwxMqWVYAvo8CeCdvYrVa8GCGuoUsxXI5Cxx\nE5NzduhsVp0dxuwnlwBidp9fU9hktis449o0056bwZHN7/N8OaDO7Pd8Qujl+mw++eagL4tBixRk\noGkSfr+7/1p3TRKTAEqr9JTPyuJTuait+wpM36zG85vruLqmIDY8FUL2dwpw/X15m7BJ2KKOVKsm\nJSdCqCJtAdU6LRq5rlXxCsIbXsOtLpH0RQFedzxMsYCwRTKH5SCvde+qVG9YJcPuTxe7v5e6Z7R5\n2Ql6M52vkgDsrSR5oSU1bjU+NXzfNjBntw64vuMUDIAk4Ka7Vx1DoKe4jrp0aZ0+DCuYlvTr9IEB\nOMVi1TndFcuB0E3pfOeufMJI4OSg4mzUPz5p4wwmB1zF4UzHmaZ3wnxWvbRnnCFPxZt3ameAqld1\nXtcjoz0vqUFg4J4PeVkpza79uinuE4kavGXlVN33y6RBU8DpE2aSCmRtYfH7ohQvBx9gVYbOuqcG\nnlwnzmWBfGJQzyi+vA7ygcnLVGkW4z9M+Q8LKKv0lxmUMyhKkiUn8nELwutawz06OuL9738/y+WS\n1WrF93//9/Pwww/f8PE6ANWLMa07v0QClW6HpLCdALc3vS91H2mykCaZ3sSwiYnY6GV75hqpsuWM\nfpDi5zkGjfI0w/Hk3kDXFqd2LXP/XzVOgZgvtdSEwSkGAFUn9L1YxXolH7zE0NFOMTRKbdnn+xNo\nIMg15ZxdeefSRJ7ryTmjzGeZndkqvbkfpd+ba6v6fUrP8/ucGbpJi13PTfacVeXxOeCq/LF85+/2\nCbMq+0yxfpWDQMHLUyxW9eCTYbLItOJMsoL74grg5pY2ueq5TOBB5V9nv7kE44OTWx9eLv4sTFsQ\neXxM3Kv7HbBdwjogAe6MtG/KCWCPtAGS2v6SWxZuFnB//dd/nR/7sR+jaRo++tGP8g/+wT+4RSlL\n4bqAu1gs+MIXvsDOzg51XfO+972P3/qt3+JXfuVXbuh4HQAukABXs/nqZAcMs7GabLjYfVYMjOAE\nQ4P2DawFYmIV2yRT/00kYF2SGvjc7lNDaBgA/iUGMIOhQarzCkAFYG2XlzlD59H7xOKlrQo8HRjV\nkTRZI9e0ootXG7aI5WiAkLmpdEinVSP3RQzOTGEMhrkemk80NdnvcBwU2+yag5QDnAel0836fCMU\nT5une6qz5wy9sXvLLI7cClDaVFZKWz5p5ya4mCz2rK9s83pVejXwtqQ2sdPdcy1Lp2/YdJLUBi6R\n2pLausiC+pDy6xaJs3XVb14O0qvzNpCDqNpdLtl48Mk5H0gbi8MnaN1a3GLYilXzKrcg3IyG2zQN\nP/qjP8rnP/957r77bt7znvfw0EMP8Rf+wl+4NYnjBiSFnZ10ZPlqtaJpGs6cOXPDx+sASUd9mlQh\n+WISn7RywK0Z1tL7pJAAFwYA6vTTuIB4T2pdxTwmID3ocujr+gVeisu10Bwk5G+a7zcqJiJ2o0a2\nT2IzzzN0jMgYwBqIDcTut2Jm9+1zfM29rmnllWQKSQvOkNxh3hcdONPZBJ7qMLlpt6njKrjE8HKd\nRqwynwl30zWfeJuauPF6cgnD0+TMbBPoel5D9lw+kPiiELcGvNy8zKWtCnQvMmxeIxCuuji0U5tm\n9SUzXYPYrTILPmB5e/K/eVvzyTD/Pc+rs+2QPaOyyaUc9SOxcT8DUgxeoO3WhAYmAa5LX7cgrG5i\nY91HH32Ut7/97dxzzz0A/PW//tf5zGc+8/UF3LZt+Y7v+A7++I//mL/9t/8299133w0frwPwsX9D\nGqkDPPAOeODbGSYsBJrSY/cZ+8r65JnrvGK3YqkraLcKju6oCNuwWK8ptmJySG9I4KuJMYGCs8U+\nswwanOto7vvojEiSgaSLfIKiYGhga4hdB20aWHWr5LYaKATmMid3SZNsO4x9MuVj65piztbcZM1B\nJWeCuVbqOp/idBN8ClAVp0B904Qa9psDh7uXTQUH5Nzc9zQ7aLgc0mb3TT3v13JQUcgHJme2Oegq\nnnxByBGDzm/MOV7utM1tkvzlLou6370QNMiqjSmuKblgqv6mLB44zppz2SBnwSpnESLVqcty0nd3\nGfuGr+GRP4BHfr+77xYB7vUkhf/2yPP8t0ee33j9woULvOUtb+n/P3/+PP/5P//nW5OwLrws4BZF\nwe/93u9x+fJlvud7vocvfOELo+vXO14H4GN/iTSBJf3mUndB4CbA1cx7ZFhpc8QgIfhy1SY9116E\neBWKBtp5YH2qIpyIzK/UFAcxPZtv1uKzqmpYPvq7a5ezWp840r0CwNxDAQazt3suqlHGxHCbVUr3\niOmJ0SpOeWBocHBXL2cmzrxgbOa1dl/O+HySRMGqMpo5H1wqmGKY3nFdC8wlAT0joCg33KPg7Dln\nwXk5+IRTztL83TlQ38hv/nvOljcxTB/UBERFdr+vBtQkrCZ3pfk6o5SJLs8cxe2AOyURBcarChVy\nVtvY87k8pHd7XWPpcmvMvWZgWIikFY5reOCt8MA93fUKfuaXuOlwPUnhHQ/cyTseuLP////4mf82\nun49HLtV4Ya9FE6dOsX3fu/38l//63+94eN1gGRiC2S1ucmV7n/XNGUuyyzRfqpyubrKaDSNh7B8\nCZp1t3qygjaEYQD2GeCFvUsyxLMMpp2zPjVUme0CuILBXxIGE+oyYybuLA96IAjdbxEoCpjPIFTp\n07MfGBqsTFEBbj5pprhzkNcSY18M4Vpwl8fYdJMYHkzXiy20HTAU7Rh8p9hi8DznwRl1zmodkDwN\nzrqcPfsApec0cOSM1uPKgc7rx9OZm91TYOqDI3av6+1ru5Yz9GxA6tuANr+RVbzTlatIiZMBuS36\nQCtW7GDr7Nh9sBWuZ7V4fav8Zf57HOvsPnnpqN1qPuWs5U33+Y5+tyDcjFvY3XffzRNPPNH//8QT\nT3D+/Plbkaw+XDd1L7zwAlVVcfr0aQ4PD/nc5z7HT//0T9/w8TrAsHOVwppUCT5qBsa7TUkXXZAq\nRM/46CuTrgPUME9bvYUGghiUGuBe9y49K28Dmepip26GuqO/4vOZbLnByLtAbFY+nsqf67CdmVm0\nUGnSSNKJgkxRXx7qaXXG4ma5vmtvCE32eWfp2LVAJMaurPzdDNcVIum+2AFRMLCLdlPYZLp7mDLh\nHeRywMX+38Q6p2QA5Vn15UzU48zjdnbnrNoHORi/x4FXFofkJH+npy/XsFWvWkgjJuhALp33BEl6\nkCeL2ql0UcXn7xT45otPch07z5++e7nkOr5bjLq3y0c8JOnQCyh2LA7ViQjZilsSbsZL4d3vfjdf\n/vKX+dM//VPe/OY38+lPf5p//a//9a1JWBeuC7hPP/00f+Nv/A3atqVtW37oh36I7/7u7+b++++/\noeN1gMRmvaIOGI6JjgynDKiS5J4lYV3f3Ue3Y4dbJyGegOI0xEVkq1kR1lDEOOhcAjCZbs+T2K0f\nV50zXAVnOf6b6tS1Kq2Z16YlAnIBcAewoZMfim5AkF/iaIZZaZIcAsMgoA7kkoUGKIHDhk4TG2i7\nvBZT5r6xsBCgsHXzsYU2dr8X9JN+sfv0pG2KMeUMbwp0c+aas8cc+PJ42iyOyNhcdtDL458aaHJC\nkF/T/66bqk600Y6v1svNe7FkSQcyvyPDsTt+2oX+P0MC3AUDWMkylCeD4pV1d4VhgtcHN+XFrFUd\nRQAAIABJREFUJbcbsVQErgouzynubs6iXUPdbV9Z+NFHYuhPMZz3dgvCzQBuVVV88pOf5Hu+53to\nmoYf/uEfvqUTZgAhxvhynOTVRx4C8b2kShCby4V8jcpirfKjrRnWogtwlVLfhWkPuBfiO6F9W2em\nPwfhRdLMsBqG9FadAHHN4lTncBPKXX1ykPPVPwXD+Wty+/G9FXwCyie11IHkH+zHf/viBa2Z945S\nZfdetbSpM/quYV2HamuoO4+MQlJHSCBZBNJRPGSg3JWHALcokwO7fhPgho75Bt8f1U1otwycLXlH\nzwE3ZPfkrNQllZA96+/NQ8bgJ3VsT3M+gDkbdqsr39ch3/THgT/Pd+4horPdXMI4Bby5uwbpvLT/\nzkBKbieZ7WpLzpjdX9itOKXVy9cljzx4GbvVkM8NNInZtmtoaigWUO5AuMvyMCO5jL4AHED4f+Bm\n4CiEwCfjD9/w/T8a/vebet+rCa/9OrgDxoxDDEDMNvdFlMYT7D6xUz2vbRehN7vCS2kSKrQMe8JK\nH/K9W93TQe+Bsd+qsya/R41LndEZlE2KTa5a8k6soPsE2HqmtnulD8MA7nsMpqPS5Es7nS3ZREok\n6bKx7bLa5beqEui2MX3qOt03qzomTsdoPXRA3WNersF53r2scqlgU5jSSWGom3zGXGGKpTqI5ECp\nDOQmfp6nqcHAQ87Yy+xesU437wWAPmmq4B4OGphPkpaBS9dXv8n9vH3xQclgeXk7dYsxH4AceH2i\nEsblJBKRl0FXnmEbii0olNfL3bV9UhveIpGfK1k8NxGWt+q89dcovPaAq46vkV6jr7RGga4md7wT\nCXRcj91iYIV+/zXS4Yjy6fXDEdUofSMW73je+J016R7X0XImJdDzCQ01xDqLxxu2Gq4vAsi1RHVC\nAUJFvzS672w6g0zv0YSFd7juWmihLKFuE6gSOmzo0hK6+zRhVteDRFB0UoKu93jTMdsRK/JP/pv+\n38Rqr3fd48oHNJVbznr9mZjdV3D8PVOMFsZmeB6chfsg4asaJRnBeAbfwd5Xx3l7kX9uyeAeqRWI\nDrYCUmnICt5+lD+119xfe1N5Ofnw9paXA3ZfwTCZukqMFxgmiOV1dL2yfYXhdb2095YEZ34wAK0Y\n3YJh4kjMzk16jdgCWm1uI/9UNTZV3lXSqKnG7KaO+0i6ueemnBqNs6CpTqmgfCmuNnt2Svvzd+W6\nowYA6Woz+6t9eU8zzPD65Ioabu6z2aW3iBBWybOjbro+IT2WBJxFl78Yu3u69BYFzJTG1jAtB6pN\nzNODsz7vH87kp8AQxuDm73LTdgpwZTk4uGwC9amQ684eHDArxiDl5SO3LAGu7sWeFSHxAVt1H0nm\ntzYweokx4K4YVlT6wC43MqXFJxLd59bL0/OQt1sY14eXg+JV/Xab+9OktndskUjklqLQnwGudE1v\nBLnI7oDk7ixeIZGx3OAVrtMcZgwAKpNJIV+26u+O2X0x+1161xSQ5CZoDraua+VMzsvBtTofdAKD\n/LLb5bVgGDAKBp3bJ2pcwiiH94VZMvFK8xtumk5u7jTdsoBYdvLDdUBmBLbK1yb5II6f7e8zBr6R\n4br72CY26tcn5I9RvDlL9vumpAL/TIGSl3UupTgzLOz3eRaHWzoVw4nBmvjSTnKXGK+QlEeMADfP\nt5MLTeJKM3bpQ+1tSlrQdwdhB1UFlyBUHq7p+4SwD7q5pHET4Q2/PWO/b6wK2ne5cjcnGLRId9Xy\nZzXp5pVTkkBdYLS0eDThVFi8PgrnYCtgzbU/n+jLg3dipdVZh0+o5Gw2B2f3VpAMAwPgasmvrmkv\nBe03Ifc5Xw3nLLJN8RQ1zOo0mdG2ick2DVSz5K5WFB3JitcH3GOtR79NtXkva19bv4kN52b2FKv1\nuBWmQNOveRyug+ud+bNeh3B8kMhZudfzVBCBEON1Jqzyc2vlBKltz0nap62uBMb7Oueg6uw/kEiI\nZDn3TBAo5+18qswddH1rR793ynpQeU+B6xSDfpXhDb89Y/8GjfbSo1zE99VTMIzsMGYy2jk/912F\nASzljaCdvyqLC44v+dT7YPMou6lDO6P1huj/xywOZzqSQhSfH8fSrcbpdVq9V/v1Lu1ZuSGpPN0P\n1M3FTg8sTsHsJJSR5Je7hlB3kkObfgsxgW8su1eHNKGmjhHaQW4YlWHuJzwFfi61OPvPP3n8ORj4\nwOUDaN6BczacM0Kl15k0ds3bSc6Wy+ze3Nc1jy8vl9wScaYrUBSB8A33vb8sIdYMHiIqD29nMDbn\nFTzPUxaJM1H/Xd+n6s/zM2WJTJXxLQp/JilseoNvZJG7zHjDc3CzAx97zVeNR+xZK7Q0eSBwh7FG\nqkYoRgHHG4KecXMSxg3Z5YmpGd/rBQdnPaf2onX0uT/uzJ5rGB/JrbzJHa2AaGw3dINPsQXFtqVB\n5bWCuIJ2lQC3LLr+UyQmvK67/hVJO/RvAlwxev/dg8oMptlQDoz6nuuF/j4H3k1Mzb1KYFxXzirh\neFvIBw9Pt+LK5aOpAWeqbUwBlfvT+jyFvG4sv1H7dFRpYDxWBt63fF7Efb89z7nklufV2+v1pKAp\npp+X4aYyeZXhzwDXR9xcA3L3J2mwAhkYRmk9o1lYGJ/4KgDVDK4fCbOyOGv7COjEAL0j5rqd50Xm\nvptIU3lU4/OGm2tkyqOzfDcJNYki5u5mvN6nyTo7Fj229H6z67rD8RLKRQeiWhDipm2nA4cVFFch\nqBxbevev0jpPbJMkoRBid5/yrTKYGsRqjoOMOr8DLwzMs+U4IAtcXAfvE2jf9UzDdId3kFLI9V0F\n1y49r8AkMLm1k6fN86p2oH4wxbj1Xtc9I7RNqouyhdIZZc5S84HNB3xZVTC0t7U965YZjOtiCozz\nduB5yAejWygpLN/oZ5qN9K7c7FZnlz6pmVRf/+0NWmZgPjEhU873DlAc/qx3znzVzVQDuN4oDuNG\nl4OLGqGnReCrkEsO6nRa2CEg0rPyRXZTOjA4tUsTpwPcBupV+tt2NR0qKGakzd/VqeWaR3o+BIal\nvKtBxw1eF5Ijujz3y6lzNnm94LqnBq7cshEw5B1eQXXq7WXTe6dM+ZyleshN7Fwuye9xicHr1pl0\n/vsUc1b+860sJan5ghhS/TRtkoRGk3Serlxb9TYEw+QWXdvpyE0hy8jJhvKRywTef/yTD5LKn4P0\nJs37FYZvCg23aRre/e53c/78ef7Df/gPr+jEh9EkkADFt7YTQ4NhdNfvAmS633KBXqO9lkbmDMgn\nr3LGU2b/qwF6h9DvbrK6b63+umdDPuo7m8lZrqdDwKEz3FyHs6XBo3hygOiuh1ln8jewKJIbWIyk\nlWb7UK6h1PLRgmFrQE3OaGb8MHXkVTd5pwm1EKw/d/kNXVnE7m/w8lH+83LWdTF1sftN3gObAFdl\n5+/x5zz4NZ/gc0DK6y9P7xQL129in81EPJvkpnwQ9rTLJVJLwLXXiPWPooV5p6nHJWlTotxqULk7\n8/S8qC81yTI6WkI8gsUWVAL7gvHkWg7cU+WXl1VeHpusoFcZvtElhRsaV/7pP/2n3Hvvvf32ZZ/4\nxCd48MEHefzxx/nu7/7uzZuPw3iBw5b9zX0BVanaC3bXvp8gOfvvMUyaaXs6ZxQwZgYwXoQgoM+B\nKtf/ct1KDUKA65vJuDkvT4jc11AhZ8O5ZifwllbnrC1nfnmadV/n+xiqJCNUla0Ya6FZQrMP7SVo\nL0L7IkSdOaelwGa6xoJ+BRphDLYR+r0VIIG65Iz+03RMeQpocotH0kp+bttyw+eI42W/tuf8t7ze\navubO//fCEueYm0CLXeD8rrT9dnEvVNyidIyI60yu43h8FIDtqIknREWGAZ0Paf+li+5zgcLpY9U\nX3WTFsjEkNrAqL96fW6SC9x6yfNfWXx+7RaEhvKGP/8jwstm88knn+Szn/0s//Af/kP+8T/+xwCv\n7MSHBeNJJTUEVcbMPlsMHgUymbxRVvZswXi/AWdIiiffO9aZkEI+5Pion4/gikegBP2khRpg8JVG\nebzOaL1j653OpG3iq2/czq4dzJ2x6PqaNAHW0O91UDCA59rKoVpCpc6i1UANhDmUO4kl0w6g3Xaf\nGDttGMY+uw5gsWPFXt45+1V5KD++GY9f9/+nmOfUM1PP3qj5moPwpnaRA4qzudxyUhvwNuX35B4O\nun+v+669EZ5nvNl856sebLAc9ZdcUlOZ5flqoWhg1klNxVbXpvWsu1p6ueZ9NWfYbrl4epwc3YLw\nuvfD/ft//+/z8z//81y5cqX/7ZWc+MA2x/VLZwRaRbPTfXwyDI6DsrYedJcpGDckY77RQHaEgz6D\nm//NPRdybWqqo3S/xcCwz6znQyFnzrkWlmt9U/qfMe1oaQwWR9N5G/T6a+fehSbUusmwwtPhG+t0\ncRZb3T3dwBUbCJ1E0VjH7QlPLht032MkHRzozMgBSOXijD3X/3IZp2VcdgXH62VKH8zN4DaLa0oa\n0oCfA4eb437N85Rrv27NYOmWpaffPJ0FqX/c2d23JK06u8pAOlQ+6lc5o1VavCyD3df9H0qYbUPc\nIslN8ihy9pwz05wQuQQmkuUArLpxmewWhNe1hvurv/qr3HHHHdx///088sgjk/e87IkPf0APGg+8\nCR64C6Q99Sca7JDMpD1S4fveBjAePX2U3yexXK1E84YtlneUJgCKGeOdrLwBmXkeI2P/UgdB6EGH\n2AFr0YFM0/0OY0CeMt/0IYv7eqasywfdABalzUb6Jbmh6PryKn0iUFRpw/OySGmUpluWUG2RJtDm\nDPKLwMdN3658wzq9q1ilmfG6SZ+qTPEVZSqP2JVhv11j22W1ZfBk6H7rNUdnuc6+vNysnqP2esjB\nT89vkjKmQtYORhKOx59vpTnF5jz9MvOdzSmfa3teZe8DlZ7VsTQngLtIS7vPkbY2fIq03ejz9h7J\nbXnbnSJ/vnihY9hhO0lRsU31SWBg0srr3J516cPLxj8iS1aWjzwFjzw9kc6bCN/oGu51Afd3fud3\n+JVf+RU++9nPcnR0xJUrV/ihH/qhV3Tiw8fex3iZrldOwzAhUHJ8kxk1Wj0n9nWVYWR3icA0uaiG\nWncAql221CHk2+pmqYOdg5sDf+gAxf6HxGx7sHZXM2cZOTj4O3NtTUHpc1lGv3cNNUyYvnLRkqkf\nOuYSunSWnURQ5O/yiUHFl8kkkifKNoGuZAvlI1gHCtBru30oGTYrzwcjB90ptuieJ2TPOnuc0s79\nez4YKv+wuQ78upv7/sklDWf8GZPs27f6gstKuk/WoXa5OwXcQQLcu4C7gT/u4rhMIiHO8BV8YPCF\nQLIcledO7+0Xtjgx8b4r8jKlz+ag67q1ldMDb4cH3klf5z/zKDcdVq9nt7CPf/zjfPzjHwfgi1/8\nIv/oH/0j/uW//Jf85E/+5I2f+KBRzRtrwbDpuGZfa4ZdvtbZvdJj1SiukhqWs57IMMFSJ/bXrlPH\nLioIJ0iN1CfRtFMR9J06OLtwgPP0KCnGZsQ0Q0NaseWNy5lAHMfTv9snxPLgk0oCk7ID0KaTMZSo\nbsKs0qy1H3/SvUsrysBY4gST74HXykedRlW4XkLdAfoI9M1iUNko/l7TLew5L2MBk3fqvDyKCXa7\nyULw8s7TmT+TA7EPeHBcbroeM7NB6Bi4Tw3AzjR94GlJ7X1BAtzbSNLCPaS+cLq7/ysMKxG97lrG\nx03JD9vzmw+AYuBHFo/uVXv2dDvjVdu/HgDndZZPZL/K8LrXcD1IOvipn/qpGz/xQYwjN5VUQdo1\n7DIJcF9iOP5bFSW3JXk7yDxTQ9GG3/vdZ5mAKABhnkwkTpN2yz9g2F3ezT6XLJwdeCNUcMbbXQ/Q\nO/8fMzNz9pN3eAfcKcBw32GfVBGLzPXBTlZoIhy1SWtdH8K8TpMhoQPDukluX2ULVQPFPA1OIyDx\n9Bhw6NjusmMvRehYdTmkKar8YhdlYLw3g7PaKQbpIR9c84UOrseSXcvZ3lT55+Crgc3jDAxmv2Qp\nZ4Gb6tF1Ss+zv8sB19+vvDWkHcKesjjlufC27jf5Vl9hfCSV0u5ygN6ds3KlMz/R2q2dXEqZkllU\np1OkZUp730Q2XmF4XWu4Ht7//vfz/ve/H4CzZ8/y+c9//sYeVEP2Wf7IeKIMQCc0PM1wppMvipDO\ne4rBpNHkgfYGlaa7pt/7lR0S0J7unm26+5x9dDOyI0HfPQbyBpFPZHUTUKU3QpcNNnXsXPvzZxSU\nBgGuNucJDIzXQbvs8KiFVQ37NSwbmK1hu4TdeeeRAByt4XAN23Xyt5xVHeBWjAFnikl2pmlZkzaY\nbg34pd/SMegOoNs4Abh5ufr3xu7z9+odLrW4tDQlCTjwFNl3Bwqv+zytkcE60nPar8M/U5KRTy7p\nvTkRcXKmslddeDvXCdd/HngrcJ500oPe8VXSSQqaWPa8+vuVLrV9vV+DmTbqbxmX/yZm6/3EByJp\n4i5NeJrI8n4T4Rtdw827960PLrTLRJwyIf0UCHf98mc1ki4YjuiA4ZiZawxHiotxiN3u2v2NxSN/\n37m9Qyt6xKz1Wdh93sC88Xk8s+z+yuLeyT7b2f/ug7zH2Dd5t4tDHcwadlxCfQBXlvDCGi61cDXC\nYQsHDeyv4NIKnl/BCzW81MJ+A/UaWjcX3X86z4Pfs4CwS5JsTlp6u1M5gsptq2PQcjPKBye1BR+Y\nYDBt/QRlZ4RT5roDsQ9YPvGY67Jkv0V7tmUMIP6R77D8gv3jS8z9M/Uel1Jc1vC6kNZ6QGK6F4Bn\nkxl98OYZ9beUCYTP2r0hlX2/m576gM81OKnx6/m8i8pYZe9153nxsvG6y48cyj+3ILxWfrj/9t/+\nW+677z7KsuR3f/d3R9cefvhh3vGOd/Cud72L3/iN37huPK89/46MJ1182a5XqLwVtO8nDDuLqTEI\n8DQii9XocDrtEKa4BbinGDYuVycS+PtBkzDNNNXYvBGJXU5pgps+el8OXjkDztmIN1wHo868jV1a\nAskVrF7BpSN4fj3ejCy2yZl9zXjLibKF3brra3mLcGCDMSvJy0u/1wx7E68g2Iq/0juys6opTdWB\nsmTMtAr7LZc/piQHT2sOvHrGQdafUVxlFoeek9SQWzfaftHLK5cNPO1uCfr7fdIwkMr12S6uHVid\nLLl2bk44v6S62qSzzmYMu8zl1qQzT/U9zaXE7J4pmSeXFsjKQ39dEpmwCvtPNil7M+G10nC/7du+\njV/+5V/mR37kR0a/P/bYY3z605/mscce48KFC3zgAx/g8ccfpyiKyXhee8Cd0uL01pph8iuSGsQd\n3V+dhSbQFQuFwTvBzyfTRjIOqg2D9gtjhuTuKnn6vON7Qxcz1iSfezBMAWb+15lBroXlpm2u9em7\nmLk+lzvduGNSqzVcXSbWus/4DEo/BuuQoQ/sRNhrYbaCxRFjZuudweWLHCw83WrzyrPKPAc6N+P9\nf+8zecf3jqxB19t2PleQt/sc0NvsfpceNoGA0pI/62xPzNylD+VV9ezMNn+XfvPJ0orUD7TvcQGs\noGlKlmHOItawXtO+CO2TydKhgHkk+VJ73aksfADRTnuaE3HpxNvry4GjWxBTFoiXo0jTLZMUXhtI\ne9e73jX5+2c+8xk+/OEPM5vNuOeee3j729/Oo48+ynd+53dO3v/1AVwv7Fwr8sMO90gAeYKk6Wq1\n1RYDQw0MJpsahkZp79wawbWsURMB+WzzFKPLQVeN3zuoOoJ3fgenTUxQjXZKu80n2Lwje6csGGSG\nqktLd0rvqobD1XiHShjIjIp8aVHvRthvYVcXZMLqsEo3xx0sptiqQMXznDMdfZTHfNBy5qRydstI\n9+q9DoC5GZwDbj5ZlQ8cfj2XvjzkwB4Yx5VLGRqsyfJRbnhevyvf6genGJaPd+29aUuWbNHUS+IR\nNC/C+ilYrkirBedQSGLwuQpvZ5I+DhlOk2jtvtyzYVOYKtPrgXTO6G8yXM8t7NIjv8+lR37/1r0M\neOqpp0bgev78eS5cuLDx/q8f4OZMT0EAqJ3td0iV/iTJbHqRQQ/bI02AHZIARtdc/3WtTQxjn7FZ\ntsMY0DQS5x0oB8Bc15tiuHmnVRlMAeoU4E4Bvg8SZZdXAZlq8HL6vt0B/+oQytUgaWu8cWlRWRSx\nqZU/nRB7sovfNTe3ClyvyzuVdHgH7FzL9Fn9PM+Kv2VYXTi15NeXdfusPFamUxNgOcjlum4+cOaD\noK7l6c8lJv1VWcnEiIz7Qm3XlfaK8fv1rPTiU8AJqLdKVsxprpQ0z8Bzl+HSEmadVLR1rTuPbkXq\nYycYlr9XDO5fOYmZWTrUztzDQN/9f/3NpZQ85FLQ9e59BeF6ksLeA/ez98D9/f9/+jP/anT9wQcf\n5Jlnnjn23Mc//nG+7/u+74bTcL2FYF8fHwpvkGKCCuqsJ0kbc5xjYLYr0goaie5b3T2H3fcDxtKA\nN2ztd6DZVndbEeDCWEfyzoql1Vn51DNTnSzPv+Jw97MpgN00MKlxzhiWQDsL6spyHtLPq25v22sM\nIOtzSN5v1IfrlrRIQu8QwxVqe1nrYQFFDlwOzDlLdVM1L2M3y93zwIHdBz8Bhkxg78h6hzIM03UD\nx+ve69PT6tfdUskH73zw0DuUdyxOt8g8zS45yCLTJJ2dZxfmQBPgYqB9El68DM+u4UxIoBs10gaG\niTPtDqd3H5KIidizk4PK0qRBT8EHp1wDz5lrPrHmg0te/q8y3Iyk8LnPfe4VP3P33XfzxBNP9P8/\n+eST3H333Rvvf+0BVz3bG2Cb/e+eCGK5d5AYrPZWkBgpsFQcvtesM1M3zTzINHLAzZnry5lDOfDk\nDTBm93rH3PTxTppP5Cg44Ih1uDN7NX6uYDhRPpD61ILhDEJF3Ts7NLBeQbWCwpf4yiPC18k7UDnT\nddcf3eOTjSpT37NBcfpCh2hxedjEfrcY7wbnurH+5paF4sutER8gc+DNrRUHXKXL48nBSGWm9quy\nye91lzi3atTWDTR3wyF37bdsX1jCl6G5lDxOdgo4MYfKl87fRiI18nSRtehl5O5e15NYNkk2XrYO\nwMpv/vz1JIpXGL4ebmHRfBsfeughPvKRj/DjP/7jXLhwgS9/+cu8973v3fjs1wdwYVwRMftfFaEO\no8kBuRpp1lsgI9DOmU1e2bm5XmVxKC3eEdwszUfrKdaTMy7FoeAuVH6/u47578qbsx5dX0/EIZce\nadVd3oow3BLsVU7IfZI6xHQ6xNEKtg+hEKuVVKO9FlS2/hfG7NXNSeXDTXLVsZ7PXdFc6/TJFx9I\nXVeWMC0w8rS4u5EDpXd0Bw0HVAecfJLT29MU8EzJE3kbVXvRghZvuz6566CuQcvO9lvsr1gcrmi+\nAkd/AlxJEsLOHHa3odxj8EO/jeQ2JgvJ/XSVF01U5xPQGiTcgsjJBhxvH/mgmcfzOgDcX/7lX+bv\n/t2/ywsvvMD3fu/3cv/99/Nrv/Zr3HvvvXzoQx/i3nvvpaoqPvWpT11XUggxbjyX9aZDCIH4E4z9\nV72TyUyBwdS/o7t/RdoN6QmGya9z3fUXgOeAPyH5I6oRbmVxutmXewfouuc+B01nzwKJ3MTMzUnd\nq+D+twISTUK4O07GTkfpkEuYllluMfgFXyOtznu2+1yC9hJceRGuXRmkBEmx+4xlOhXHjI4RzeDs\nWdi9g+RQf4408Hnnc+BQ3t33Utdd687d6WIWh8pEoAtjlirgcZDNtWENVHqX9srN/Tx98HRzHUtT\nXsdTXiX5d92j/CnfPgfg7/B+6VaT8qmBRi6TAkiB4p3At5D0+2fh2v8J+1+AF5ewbOH8aTh7Bopz\nEG5n2EtXrpfyD5S3j2v02t8k191z8JW16Zai8rhJSnT2b2Ub/rcxe3ylIYTAX4r/9w3f/3vhu27q\nfa8mfH0Yrk+SOJPzkV/AJjtYlOwcQ8OrSABzmbQqTb5NaqQ+mXQ9sM0HwXxm2YFuqgNmDWUSeGBA\nNGduik+N2gE3lxCUFnkP6DfPr5cx9NrrbA6LBRRH0CxJR6Z0A5Fb777GJLRJVogCLJ+s02nCbgK7\niT01keiapZehgv8vYNHHmb4AV4Np3vFzKUhp1H7JAlwfRNVGcu34elbR1IDr7Vn1rDS77u3s3EFp\nCqyK7De/X21Op5y8SFpZ9jjUX4XVVdgpYW8LdrahPMGwgf8ZhnqUa5kGIt/UXwTBJQ8v53yCr80+\nSquX5ZTWjT1/i1jucrQzzzdeuCHAveeeezh58iRlWTKbzXj00Udv/JgdjfRuBvvo52J5y7C/rUD2\nBGPGoCW8B919mkByQNsEuLk56RqTg2zOXJzVuRmqOKsN97rZP+d4h5V3hTMsD0rfirGZXTFMesip\nfY/EYJZJDlg8D/NnoX0a1s/D4WWoO9B2n3dh2QzYDrBbQiW/Z7dMhNDqcEpfXo4OLG4u+4bqCl4f\nznB9AhTGjDQHqKmOLkvDV6c1jE+K8P1j884+JRsoXUq315vLDg64Yoi6J59UUntxNzGXNHIWXdlz\nkdQXLgJ/BPwh8FKSkvbmsNiGuawg/4Qu//skMd/bYsU47yF7n8rLpSOvg3xnvanBK+8nuQR3k+Eb\nfWnvDQFuCIFHHnmEs2fP9r/pmJ2f/Mmf5Od+7uf4xCc+MX3qgzc2dZQpbcc71MqeVefRPgJHJLCV\nzCCmJ0BQvM5eHGxzsd8bjDutusmbMw0s3k0bK0+BiDPc3JzNWb+Xncsg6sDS8GBgJ7tDOZVbUHb+\nxyUpjniYrs9WyVe3jsPWDAC7AaqCtPR2Zu9XZ58y9b0DeVmqHN2kzn1pc1DxZcRucnuZePz639uW\n14EDQ8vQfuSk7GzXpa18gHbAVVm4ZZJr0Xq/gH6KCWLl5kDlde2WnbcvySXXgCvQfAWar8HqSteE\no+Gl9wNPBxa3t0+vD7cyFNzKcdnL52CcqeeffN5D908RjlcRvikAF45rKzd8zI5YQc5gg8k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AFXacrf52nN8+LyRcrzrAPcus//moolc8rQUhYNZWioyoZZXHfAPMgbsi1aNDnn4BB6hh/797aU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\nrkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0xbb8cd8c>"
       ]
      }
     ],
     "prompt_number": 46
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Save netCDF file"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Minimalistic variant :)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!rm test_netcdf.nc\n",
      "fw = netcdf.netcdf_file('test_netcdf.nc', 'w')\n",
      "\n",
      "fw.createDimension('t', 1464)\n",
      "fw.createDimension('y', 73)\n",
      "fw.createDimension('x', 144)\n",
      "\n",
      "air_var = fw.createVariable( 'air','float32', ('t', 'y', 'x'))\n",
      "air_var[:] = air_c[:]\n",
      "fw.close()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "More descriptive variant:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!rm test_netcdf.nc\n",
      "fw = netcdf.netcdf_file('test_netcdf.nc', 'w')\n",
      "\n",
      "fw.createDimension('TIME', 1464)\n",
      "fw.createDimension('LATITUDE', 73)\n",
      "fw.createDimension('LONGITUDE', 144)\n",
      "\n",
      "time = fw.createVariable('TIME', 'f', ('TIME',))\n",
      "time[:] = fnc.variables['time'][:]\n",
      "time.units = 'hours since 1-1-1 00:00:0.0' \n",
      "\n",
      "lat  = fw.createVariable('LATITUDE', 'f', ('LATITUDE',))\n",
      "lat[:] = fnc.variables['lat'][:]\n",
      "\n",
      "lon = fw.createVariable('LONGITUDE', 'f', ('LONGITUDE',))\n",
      "lon[:] = fnc.variables['lon'][:]\n",
      "\n",
      "ha = fw.createVariable('New_air','f', ('TIME', 'LATITUDE', 'LONGITUDE'))\n",
      "ha[:] = air_c[:]\n",
      "ha.missing_value = -9999.\n",
      "\n",
      "fw.close()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Links"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "* [PyNio - library that reads NetCDF, GRIB, HDF and so on ... ](http://www.pyngl.ucar.edu/Nio.shtml)\n",
      "* [netCDF4 - advanced netCDF module](http://netcdf4-python.googlecode.com/svn/trunk/docs/netCDF4-module.html)\n",
      "* [Scipy cookbook](http://wiki.scipy.org/Cookbook)"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}