AstropyFits/astropy.io.fits_demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# astropy Coffee and Code"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "astropy is a package that contains common tools needed for performing astronomy and astrophysics with Python"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are lots of packages and subpackages:\n",
    "\n",
    "* Constants (`astropy.constants`)\n",
    "* Units and Quantities (`astropy.units`)\n",
    "* N-dimensional datasets (`astropy.nddata`)\n",
    "* Data Tables (`astropy.table`)\n",
    "* Time and Dates (`astropy.time`)\n",
    "* Astronomical Coordinate Systems (`astropy.coordinates`)\n",
    "* World Coordinate System (`astropy.wcs`)\n",
    "* Models and Fitting (`astropy.modeling`)\n",
    "* FITS File handling (`astropy.io.fits`)\n",
    "* ASCII Tables (`astropy.io.ascii`)\n",
    "* VOTable XML handling (`astropy.io.votable`)\n",
    "* Miscellaneous Input/Output (`astropy.io.misc`)\n",
    "* Convolution and filtering (`astropy.convolution`)\n",
    "* Cosmological Calculations (`astropy.cosmology`)\n",
    "* Astrostatistics Tools (`astropy.stats`)\n",
    "* Virtual Observatory Access (`astropy.vo`)\n",
    "\n",
    "Today taking a look at `astropy.io.fits` for fits images (not fits tables)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## FITS file handling - astropy.io.fits"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### FITS files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Flexible Image Transport System (FITS) is a standard format for exchange of astronomical data.\n",
    "\n",
    "A FITS format file consists of a series of Header Data Units (HDUs). Each contains an ASCII text header and a binary data array (usually image) or table. FITS files can have multiple HDUs called extensions.\n",
    "\n",
    "FITS headers consist of a list of 80 byte “cards”, where a card contains a keyword, a value, and a comment. The keyword and comment must both be strings, whereas the value can be a string, an integer, a floating point number, a complex number, or True/False. Keywords are usually unique within a header, except in a few special cases such as HISTORY or COMMENT."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"notebook_files/FITS_file_schema.jpg\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from astropy.io import fits"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Convenience functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convenience functions (getheader(), getdata(), writeto(), append(), update() etc) achieve one simple task. Using them means you do not have to worry about opening or closing files etc. They are fine for interactive sessions and simple scripts, but should not be used for application code, as they are very inefficient."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_hdr = fits.getheader('test.fits')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "astropy.io.fits.header.Header"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(test_hdr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SIMPLE  =                    T / file does conform to FITS standard             \n",
       "BITPIX  =                   16 / number of bits per data pixel                  \n",
       "NAXIS   =                    2 / number of data axes                            \n",
       "NAXIS1  =                 2070 / length of data axis 1                          \n",
       "NAXIS2  =                 4098 / length of data axis 2                          \n",
       "EXTEND  =                    T / FITS dataset may contain extensions            \n",
       "COMMENT   FITS (Flexible Image Transport System) format is defined in 'Astronomy\n",
       "COMMENT   and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H \n",
       "BZERO   =                32768 / offset data range to that of unsigned short    \n",
       "BSCALE  =                    1 / default scaling factor                         \n",
       "DCT_DATE= 'Mar  8 2012'        / DCT release date                               \n",
       "DCT_VER = 'r3_110_1_1'         / DCT version number                             \n",
       "DETECXE =                 2048 / Last column of detector                        \n",
       "DETECXS =                    1 / First column of detector                       \n",
       "DETECYE =                 4102 / Last row of detector                           \n",
       "DETECYS =                    1 / First row of detector                          \n",
       "FIRMVSYS= 'System: AAO2 CCD Controller System Controller V1.23 151104' / System \n",
       "FIRMVSEQ= 'Sequencer: AAO2 CCD Controller Sequencer V1.3 161203' / Sequencer fir\n",
       "DETECTOR= 'E2V3    '           / Detector name                                  \n",
       "XPIXSIZE=                  15. / X Pixel size in microns                        \n",
       "YPIXSIZE=                  15. / Y Pixel size in microns                        \n",
       "CONFIGID=                   11 / Controller configuration Id                    \n",
       "DETECTID=                    3 / Controller detector Id                         \n",
       "ABCKPLID=                    5 / Analog backplane Id                            \n",
       "VIDPBID =                    6 / Video personality board Id                     \n",
       "CLKPBID =                   21 / Clock personality board Id                     \n",
       "BRDID_1 =                65537 / Controller board #1 Id                         \n",
       "BRDSN_1 =                   63 / Controller board #1 serial #                   \n",
       "BRDID_2 =               327681 / Controller board #2 Id                         \n",
       "BRDSN_2 =                   73 / Controller board #2 serial #                   \n",
       "BRDID_3 =               131074 / Controller board #3 Id                         \n",
       "BRDSN_3 =                   83 / Controller board #3 serial #                   \n",
       "BRDID_4 =               131074 / Controller board #4 Id                         \n",
       "BRDSN_4 =                   84 / Controller board #4 serial #                   \n",
       "BRDID_5 =               196610 / Controller board #5 Id                         \n",
       "BRDSN_5 =                   97 / Controller board #5 serial #                   \n",
       "BRDID_6 =               262146 / Controller board #6 Id                         \n",
       "BRDSN_6 =                   76 / Controller board #6 serial #                   \n",
       "BRDID_7 =               458754 / Controller board #7 Id                         \n",
       "BRDSN_7 =                  100 / Controller board #7 serial #                   \n",
       "BRDID_8 =               393217 / Controller board #8 Id                         \n",
       "BRDSN_8 =                   59 / Controller board #8 serial #                   \n",
       "METHOD  = 'CCD Charge shuffling technique' / Observing method                   \n",
       "SPEED   = 'NORMAL  '           / Readout speed                                  \n",
       "READAMP = 'RIGHT   '           / Readout amplifier                              \n",
       "EXPOSED =                 540. / Exposure time (seconds)                        \n",
       "ELAPSED =                540.5 / Elapsed time (seconds)                         \n",
       "TOTALEXP=                 540. / Total exposure (seconds)                       \n",
       "RO_GAIN =                1.799 / Readout amplifier (inverse) gain (e-/ADU)      \n",
       "RO_NOISE=                 3.49 / Readout noise (electrons)                      \n",
       "ORIGIN  = 'AAO     '           / Originating Institution                        \n",
       "TELESCOP= 'Anglo-Australian Telescope' / Telescope Name                         \n",
       "ALT_OBS =                 1164 / Altitude of observatory in metres              \n",
       "LAT_OBS =            -31.27704 / Observatory latitude in degrees                \n",
       "LONG_OBS=             149.0661 / Observatory longitude in degrees               \n",
       "RCT_VER = 'r3_63   '           / Run Control Task version number                \n",
       "RCT_DATE= '04-Jul-2011'        / Run Control Task version date                  \n",
       "OBJECT  = 'NGC 1851 full target list' / Object name                             \n",
       "RUNCMD  = 'RUN     '           / Run command                                    \n",
       "RADECSYS= 'FK5     '           / FK5 reference system                           \n",
       "EQUINOX =                2000. / J2000 equinox                                  \n",
       "INSTRUME= 'AAOMEGA-2dF'        / Instrument in use                              \n",
       "SPECTID = 'RD      '           / Spectrograph ID                                \n",
       "SFILT1  = '        '           / Lower filter wheel position                    \n",
       "SFILT2  = '        '           / Upper filter wheel position                    \n",
       "TILTSPAT=       146.1494677324 / Camera focus spatial (encoder)                 \n",
       "TILTSPEC=       1168.233636168 / Camera focus spectral (encoder)                \n",
       "PISTON  =       733.9870886512 / Camera focus piston (encoder)                  \n",
       "GRATID  = '1700D   '           / Disperser ID                                   \n",
       "GRATTILT=                  0.2 / Grating tilt to be symmetric (degree)          \n",
       "GRATLPMM=                1700. / Disperser ruling (lines/mm)                    \n",
       "ORDER   =                    1 / Spectrum order                                 \n",
       "DISPENC =                23101 / Disperser angle reading (encoder unit)         \n",
       "CAMENC  =              1800997 / Camera angle reading (encoder unit)            \n",
       "GRATANGL=              46.7705 / Disperser angle reading (degree)               \n",
       "CAMANGL =     93.9420942832331 / Camera angle reading (degree)                  \n",
       "LAMBDAC =      8600.0529534495 / Central wavelength reading (Angstrom)          \n",
       "LAMBDAB =        8600.02897351 / Optimal wavelength reading (Angstrom)          \n",
       "DISPERS =    0.242845314745449 / Central dispersion (Angstrom/pixel)            \n",
       "GRATANGR=            46.770293 / Requested disperser angle (degree)             \n",
       "CAMANGR =            93.941337 / Requested camera angle (degree)                \n",
       "LAMBDCR =                8600. / Requested central wavelength (Angstrom)        \n",
       "LAMBDBR =                8600. / Requested optimal wavelength (Angstrom)        \n",
       "TDFCTVER= 'r9_16_1_1'          / 2dF Control Task Version                       \n",
       "TDFCTDAT= '19-Aug-2011'        / 2dF Control Task Version Date                  \n",
       "AAOMOSFT=                    1 / Indicates file generated by AAOmega software.  \n",
       "DUMMY   =                    0                                                  \n",
       "HARTMANA= 'open    '           / Hartmann shutter A position                    \n",
       "HARTMANB= 'open    '           / Hartmann shutter B position                    \n",
       "SOURCE  = 'plate 0 '           / Source slit                                    \n",
       "DICHROIC= 'X5700   '           / Dichroic name                                  \n",
       "SPECTEMP=         18.505859375 / Spectrograph temperature C                     \n",
       "RUN     =                   23 / Run number                                     \n",
       "OBSNUM  =                   23 / Observation number                             \n",
       "GRPNUM  =                   23 / Group Number                                   \n",
       "GRPMEM  =                    1 / Group member                                   \n",
       "GRPMAX  =                    0 / Group maximum                                  \n",
       "OBSTYPE = 'OBJECT  '           / Observation type                               \n",
       "UTDATE  = '2012:12:17'         / UT date                                        \n",
       "EPOCH   =     2012.96092973576 / Current Epoch, Years A.D.                      \n",
       "UTSTART = '11:30:36'           / UT start                                       \n",
       "UTEND   = '11:41:40'           / UT end                                         \n",
       "STSTART = '03:12:52'           / ST start                                       \n",
       "STEND   = '03:23:58'           / ST end                                         \n",
       "UTMJD   =     56278.4795859862 / Modified Julian Date (UTC)                     \n",
       "TOPEND  = '2DF     '           / Telescope top-end                              \n",
       "AXIS    = 'A       '           / Current optical axis                           \n",
       "AXIS_X  = -2.24468734353715E-05 / Optical axis x (mm)                           \n",
       "AXIS_Y  = -0.000104913680592104 / Optical axis y (mm)                           \n",
       "TRACKING= 'TRACKING'           / Telescope is tracking.                         \n",
       "TELFOC  =                38.24 / Telescope Focus (mm)                           \n",
       "MEANRA  =     78.5271531765963 / 05 14 06.52                                    \n",
       "MEANDEC =    -40.0445912127103 / -40 02 40.5                                    \n",
       "TEL_PA  =      89.912150295035 / Rotator position angle                         \n",
       "HASTART =    -30.4262828003103 / HA at start of run                             \n",
       "ZDSTART =     26.0743411106438 / ZD at start of run                             \n",
       "APPRA   =     1.37258479359095 / Current apparent place position right ascension\n",
       "APPDEC  =   -0.698690156683025 / Current apparent place position declination    \n",
       "WINDOW  = 'AAOMEGA_2DF'        / Observing window (file name)                   \n",
       "CFG_FILE= 'N1851-bright-f1.sds' / 2dF fibre configuration filename              \n",
       "TDFCTEVT= '3       '           / 2dF Control Task Event                         \n",
       "FLAPS   = 'OPEN    '           / 2df Flap Status                                \n",
       "HAEND   =     -27.650863019643 / HA at end of run                               \n",
       "ZDEND   =     23.9909539573667 / ZD at end of run                               \n",
       "WINDOXS1=                    1 / First column of window 1                       \n",
       "WINDOXE1=                 2048 / Last column of window 1                        \n",
       "WINDOYS1=                    1 / First row of window 1                          \n",
       "WINDOYE1=                 4098 / Last row of window 1                           \n",
       "WINDOXS2=                 2053 / First column of window 2                       \n",
       "WINDOXE2=                 2074 / Last column of window 2                        \n",
       "WINDOYS2=                    1 / First row of window 2                          \n",
       "WINDOYE2=                 4098 / Last row of window 2                           \n",
       "XEFFSIZE=                  15. / Effective X pixel size in microns              \n",
       "YEFFSIZE=                  15. / Effective Y pixel size in microns              \n",
       "FILEORIG= '/data/aatobs/OptDet_data/121217/ccd_2/17dec20023.fits' / The filename"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_hdr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'NGC 1851 full target list'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_hdr['OBJECT']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "change a value and comment - this does not overwrite the file on disk - use fits.writeto() with clobber = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_hdr['OBJECT'] = ('NGC9999', 'object changed to NGC9999')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'NGC9999'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_hdr['OBJECT']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "add a new field and comment - this does not overwrite the file on disk - use fits.writeto() with clobber = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_hdr['HISTORY'] = ('22-9-14', 'date updated on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22-9-14"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_hdr['HISTORY']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_dat = fits.getdata('test.fits')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(test_dat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_hdr, test_dat = fits.getdata('test.fits', ext = 0, header = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### For Application Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "hdulist = fits.open('test.fits')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "HDUList is a list-like collection of HDU objects with .header and .data attributes, which can be used to access the header and data portions of the HDU."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filename: test.fits\n",
      "No.    Name         Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY     PrimaryHDU     135   (2070, 4098)   int16 (rescales to uint16)   \n",
      "  1  STRUCT.MORE.FIBRES  BinTableHDU    102   400R x 15C   [80A, 1D, 1D, 1J, 1J, 1I, 1I, 1D, 1A, 1I, 1D, 1J, 80A, 10A, 1D]   \n",
      "  2  STRUCT.MORE.NDF_CLASS  BinTableHDU     14   1R x 1C   [8A]   \n"
     ]
    }
   ],
   "source": [
    "hdulist.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Working with headers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_hdr = hdulist[0].header"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SIMPLE  =                    T / file does conform to FITS standard             \n",
       "BITPIX  =                   16 / number of bits per data pixel                  \n",
       "NAXIS   =                    2 / number of data axes                            \n",
       "NAXIS1  =                 2070 / length of data axis 1                          \n",
       "NAXIS2  =                 4098 / length of data axis 2                          \n",
       "EXTEND  =                    T / FITS dataset may contain extensions            \n",
       "COMMENT   FITS (Flexible Image Transport System) format is defined in 'Astronomy\n",
       "COMMENT   and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H \n",
       "BZERO   =                32768 / offset data range to that of unsigned short    \n",
       "BSCALE  =                    1 / default scaling factor                         \n",
       "DCT_DATE= 'Mar  8 2012'        / DCT release date                               \n",
       "DCT_VER = 'r3_110_1_1'         / DCT version number                             \n",
       "DETECXE =                 2048 / Last column of detector                        \n",
       "DETECXS =                    1 / First column of detector                       \n",
       "DETECYE =                 4102 / Last row of detector                           \n",
       "DETECYS =                    1 / First row of detector                          \n",
       "FIRMVSYS= 'System: AAO2 CCD Controller System Controller V1.23 151104' / System \n",
       "FIRMVSEQ= 'Sequencer: AAO2 CCD Controller Sequencer V1.3 161203' / Sequencer fir\n",
       "DETECTOR= 'E2V3    '           / Detector name                                  \n",
       "XPIXSIZE=                  15. / X Pixel size in microns                        \n",
       "YPIXSIZE=                  15. / Y Pixel size in microns                        \n",
       "CONFIGID=                   11 / Controller configuration Id                    \n",
       "DETECTID=                    3 / Controller detector Id                         \n",
       "ABCKPLID=                    5 / Analog backplane Id                            \n",
       "VIDPBID =                    6 / Video personality board Id                     \n",
       "CLKPBID =                   21 / Clock personality board Id                     \n",
       "BRDID_1 =                65537 / Controller board #1 Id                         \n",
       "BRDSN_1 =                   63 / Controller board #1 serial #                   \n",
       "BRDID_2 =               327681 / Controller board #2 Id                         \n",
       "BRDSN_2 =                   73 / Controller board #2 serial #                   \n",
       "BRDID_3 =               131074 / Controller board #3 Id                         \n",
       "BRDSN_3 =                   83 / Controller board #3 serial #                   \n",
       "BRDID_4 =               131074 / Controller board #4 Id                         \n",
       "BRDSN_4 =                   84 / Controller board #4 serial #                   \n",
       "BRDID_5 =               196610 / Controller board #5 Id                         \n",
       "BRDSN_5 =                   97 / Controller board #5 serial #                   \n",
       "BRDID_6 =               262146 / Controller board #6 Id                         \n",
       "BRDSN_6 =                   76 / Controller board #6 serial #                   \n",
       "BRDID_7 =               458754 / Controller board #7 Id                         \n",
       "BRDSN_7 =                  100 / Controller board #7 serial #                   \n",
       "BRDID_8 =               393217 / Controller board #8 Id                         \n",
       "BRDSN_8 =                   59 / Controller board #8 serial #                   \n",
       "METHOD  = 'CCD Charge shuffling technique' / Observing method                   \n",
       "SPEED   = 'NORMAL  '           / Readout speed                                  \n",
       "READAMP = 'RIGHT   '           / Readout amplifier                              \n",
       "EXPOSED =                 540. / Exposure time (seconds)                        \n",
       "ELAPSED =                540.5 / Elapsed time (seconds)                         \n",
       "TOTALEXP=                 540. / Total exposure (seconds)                       \n",
       "RO_GAIN =                1.799 / Readout amplifier (inverse) gain (e-/ADU)      \n",
       "RO_NOISE=                 3.49 / Readout noise (electrons)                      \n",
       "ORIGIN  = 'AAO     '           / Originating Institution                        \n",
       "TELESCOP= 'Anglo-Australian Telescope' / Telescope Name                         \n",
       "ALT_OBS =                 1164 / Altitude of observatory in metres              \n",
       "LAT_OBS =            -31.27704 / Observatory latitude in degrees                \n",
       "LONG_OBS=             149.0661 / Observatory longitude in degrees               \n",
       "RCT_VER = 'r3_63   '           / Run Control Task version number                \n",
       "RCT_DATE= '04-Jul-2011'        / Run Control Task version date                  \n",
       "OBJECT  = 'NGC 1851 full target list' / Object name                             \n",
       "RUNCMD  = 'RUN     '           / Run command                                    \n",
       "RADECSYS= 'FK5     '           / FK5 reference system                           \n",
       "EQUINOX =                2000. / J2000 equinox                                  \n",
       "INSTRUME= 'AAOMEGA-2dF'        / Instrument in use                              \n",
       "SPECTID = 'RD      '           / Spectrograph ID                                \n",
       "SFILT1  = '        '           / Lower filter wheel position                    \n",
       "SFILT2  = '        '           / Upper filter wheel position                    \n",
       "TILTSPAT=       146.1494677324 / Camera focus spatial (encoder)                 \n",
       "TILTSPEC=       1168.233636168 / Camera focus spectral (encoder)                \n",
       "PISTON  =       733.9870886512 / Camera focus piston (encoder)                  \n",
       "GRATID  = '1700D   '           / Disperser ID                                   \n",
       "GRATTILT=                  0.2 / Grating tilt to be symmetric (degree)          \n",
       "GRATLPMM=                1700. / Disperser ruling (lines/mm)                    \n",
       "ORDER   =                    1 / Spectrum order                                 \n",
       "DISPENC =                23101 / Disperser angle reading (encoder unit)         \n",
       "CAMENC  =              1800997 / Camera angle reading (encoder unit)            \n",
       "GRATANGL=              46.7705 / Disperser angle reading (degree)               \n",
       "CAMANGL =     93.9420942832331 / Camera angle reading (degree)                  \n",
       "LAMBDAC =      8600.0529534495 / Central wavelength reading (Angstrom)          \n",
       "LAMBDAB =        8600.02897351 / Optimal wavelength reading (Angstrom)          \n",
       "DISPERS =    0.242845314745449 / Central dispersion (Angstrom/pixel)            \n",
       "GRATANGR=            46.770293 / Requested disperser angle (degree)             \n",
       "CAMANGR =            93.941337 / Requested camera angle (degree)                \n",
       "LAMBDCR =                8600. / Requested central wavelength (Angstrom)        \n",
       "LAMBDBR =                8600. / Requested optimal wavelength (Angstrom)        \n",
       "TDFCTVER= 'r9_16_1_1'          / 2dF Control Task Version                       \n",
       "TDFCTDAT= '19-Aug-2011'        / 2dF Control Task Version Date                  \n",
       "AAOMOSFT=                    1 / Indicates file generated by AAOmega software.  \n",
       "DUMMY   =                    0                                                  \n",
       "HARTMANA= 'open    '           / Hartmann shutter A position                    \n",
       "HARTMANB= 'open    '           / Hartmann shutter B position                    \n",
       "SOURCE  = 'plate 0 '           / Source slit                                    \n",
       "DICHROIC= 'X5700   '           / Dichroic name                                  \n",
       "SPECTEMP=         18.505859375 / Spectrograph temperature C                     \n",
       "RUN     =                   23 / Run number                                     \n",
       "OBSNUM  =                   23 / Observation number                             \n",
       "GRPNUM  =                   23 / Group Number                                   \n",
       "GRPMEM  =                    1 / Group member                                   \n",
       "GRPMAX  =                    0 / Group maximum                                  \n",
       "OBSTYPE = 'OBJECT  '           / Observation type                               \n",
       "UTDATE  = '2012:12:17'         / UT date                                        \n",
       "EPOCH   =     2012.96092973576 / Current Epoch, Years A.D.                      \n",
       "UTSTART = '11:30:36'           / UT start                                       \n",
       "UTEND   = '11:41:40'           / UT end                                         \n",
       "STSTART = '03:12:52'           / ST start                                       \n",
       "STEND   = '03:23:58'           / ST end                                         \n",
       "UTMJD   =     56278.4795859862 / Modified Julian Date (UTC)                     \n",
       "TOPEND  = '2DF     '           / Telescope top-end                              \n",
       "AXIS    = 'A       '           / Current optical axis                           \n",
       "AXIS_X  = -2.24468734353715E-05 / Optical axis x (mm)                           \n",
       "AXIS_Y  = -0.000104913680592104 / Optical axis y (mm)                           \n",
       "TRACKING= 'TRACKING'           / Telescope is tracking.                         \n",
       "TELFOC  =                38.24 / Telescope Focus (mm)                           \n",
       "MEANRA  =     78.5271531765963 / 05 14 06.52                                    \n",
       "MEANDEC =    -40.0445912127103 / -40 02 40.5                                    \n",
       "TEL_PA  =      89.912150295035 / Rotator position angle                         \n",
       "HASTART =    -30.4262828003103 / HA at start of run                             \n",
       "ZDSTART =     26.0743411106438 / ZD at start of run                             \n",
       "APPRA   =     1.37258479359095 / Current apparent place position right ascension\n",
       "APPDEC  =   -0.698690156683025 / Current apparent place position declination    \n",
       "WINDOW  = 'AAOMEGA_2DF'        / Observing window (file name)                   \n",
       "CFG_FILE= 'N1851-bright-f1.sds' / 2dF fibre configuration filename              \n",
       "TDFCTEVT= '3       '           / 2dF Control Task Event                         \n",
       "FLAPS   = 'OPEN    '           / 2df Flap Status                                \n",
       "HAEND   =     -27.650863019643 / HA at end of run                               \n",
       "ZDEND   =     23.9909539573667 / ZD at end of run                               \n",
       "WINDOXS1=                    1 / First column of window 1                       \n",
       "WINDOXE1=                 2048 / Last column of window 1                        \n",
       "WINDOYS1=                    1 / First row of window 1                          \n",
       "WINDOYE1=                 4098 / Last row of window 1                           \n",
       "WINDOXS2=                 2053 / First column of window 2                       \n",
       "WINDOXE2=                 2074 / Last column of window 2                        \n",
       "WINDOYS2=                    1 / First row of window 2                          \n",
       "WINDOYE2=                 4098 / Last row of window 2                           \n",
       "XEFFSIZE=                  15. / Effective X pixel size in microns              \n",
       "YEFFSIZE=                  15. / Effective Y pixel size in microns              \n",
       "FILEORIG= '/data/aatobs/OptDet_data/121217/ccd_2/17dec20023.fits' / The filename"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_hdr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EXTEND  =                    T / FITS dataset may contain extensions            \n",
       "COMMENT   FITS (Flexible Image Transport System) format is defined in 'Astronomy\n",
       "COMMENT   and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H \n",
       "BZERO   =                32768 / offset data range to that of unsigned short    \n",
       "BSCALE  =                    1 / default scaling factor                         "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_hdr[5:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'NGC 1851 full target list'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_hdr['OBJECT']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "change a value and comment - this does not overwrite the file on disk - use hdulist.writeto() with clobber = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_hdr.set('OBJECT', 'NGC9999', 'object changed to NGC9999')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'NGC9999'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_hdr['OBJECT']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "add a new field and comment - this does not overwrite the file on disk - use hdulist.writeto() with clobber = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_hdr.set('HISTORY','8-10-14', 'date updated on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_hdr.set('HISTORY','9-10-14', 'date updated on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SIMPLE  =                    T / file does conform to FITS standard             \n",
       "BITPIX  =                   16 / number of bits per data pixel                  \n",
       "NAXIS   =                    2 / number of data axes                            \n",
       "NAXIS1  =                 2070 / length of data axis 1                          \n",
       "NAXIS2  =                 4098 / length of data axis 2                          \n",
       "EXTEND  =                    T / FITS dataset may contain extensions            \n",
       "COMMENT   FITS (Flexible Image Transport System) format is defined in 'Astronomy\n",
       "COMMENT   and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H \n",
       "BZERO   =                32768 / offset data range to that of unsigned short    \n",
       "BSCALE  =                    1 / default scaling factor                         \n",
       "DCT_DATE= 'Mar  8 2012'        / DCT release date                               \n",
       "DCT_VER = 'r3_110_1_1'         / DCT version number                             \n",
       "DETECXE =                 2048 / Last column of detector                        \n",
       "DETECXS =                    1 / First column of detector                       \n",
       "DETECYE =                 4102 / Last row of detector                           \n",
       "DETECYS =                    1 / First row of detector                          \n",
       "FIRMVSYS= 'System: AAO2 CCD Controller System Controller V1.23 151104' / System \n",
       "FIRMVSEQ= 'Sequencer: AAO2 CCD Controller Sequencer V1.3 161203' / Sequencer fir\n",
       "DETECTOR= 'E2V3    '           / Detector name                                  \n",
       "XPIXSIZE=                  15. / X Pixel size in microns                        \n",
       "YPIXSIZE=                  15. / Y Pixel size in microns                        \n",
       "CONFIGID=                   11 / Controller configuration Id                    \n",
       "DETECTID=                    3 / Controller detector Id                         \n",
       "ABCKPLID=                    5 / Analog backplane Id                            \n",
       "VIDPBID =                    6 / Video personality board Id                     \n",
       "CLKPBID =                   21 / Clock personality board Id                     \n",
       "BRDID_1 =                65537 / Controller board #1 Id                         \n",
       "BRDSN_1 =                   63 / Controller board #1 serial #                   \n",
       "BRDID_2 =               327681 / Controller board #2 Id                         \n",
       "BRDSN_2 =                   73 / Controller board #2 serial #                   \n",
       "BRDID_3 =               131074 / Controller board #3 Id                         \n",
       "BRDSN_3 =                   83 / Controller board #3 serial #                   \n",
       "BRDID_4 =               131074 / Controller board #4 Id                         \n",
       "BRDSN_4 =                   84 / Controller board #4 serial #                   \n",
       "BRDID_5 =               196610 / Controller board #5 Id                         \n",
       "BRDSN_5 =                   97 / Controller board #5 serial #                   \n",
       "BRDID_6 =               262146 / Controller board #6 Id                         \n",
       "BRDSN_6 =                   76 / Controller board #6 serial #                   \n",
       "BRDID_7 =               458754 / Controller board #7 Id                         \n",
       "BRDSN_7 =                  100 / Controller board #7 serial #                   \n",
       "BRDID_8 =               393217 / Controller board #8 Id                         \n",
       "BRDSN_8 =                   59 / Controller board #8 serial #                   \n",
       "METHOD  = 'CCD Charge shuffling technique' / Observing method                   \n",
       "SPEED   = 'NORMAL  '           / Readout speed                                  \n",
       "READAMP = 'RIGHT   '           / Readout amplifier                              \n",
       "EXPOSED =                 540. / Exposure time (seconds)                        \n",
       "ELAPSED =                540.5 / Elapsed time (seconds)                         \n",
       "TOTALEXP=                 540. / Total exposure (seconds)                       \n",
       "RO_GAIN =                1.799 / Readout amplifier (inverse) gain (e-/ADU)      \n",
       "RO_NOISE=                 3.49 / Readout noise (electrons)                      \n",
       "ORIGIN  = 'AAO     '           / Originating Institution                        \n",
       "TELESCOP= 'Anglo-Australian Telescope' / Telescope Name                         \n",
       "ALT_OBS =                 1164 / Altitude of observatory in metres              \n",
       "LAT_OBS =            -31.27704 / Observatory latitude in degrees                \n",
       "LONG_OBS=             149.0661 / Observatory longitude in degrees               \n",
       "RCT_VER = 'r3_63   '           / Run Control Task version number                \n",
       "RCT_DATE= '04-Jul-2011'        / Run Control Task version date                  \n",
       "OBJECT  = 'NGC9999 '           / object changed to NGC9999                      \n",
       "RUNCMD  = 'RUN     '           / Run command                                    \n",
       "RADECSYS= 'FK5     '           / FK5 reference system                           \n",
       "EQUINOX =                2000. / J2000 equinox                                  \n",
       "INSTRUME= 'AAOMEGA-2dF'        / Instrument in use                              \n",
       "SPECTID = 'RD      '           / Spectrograph ID                                \n",
       "SFILT1  = '        '           / Lower filter wheel position                    \n",
       "SFILT2  = '        '           / Upper filter wheel position                    \n",
       "TILTSPAT=       146.1494677324 / Camera focus spatial (encoder)                 \n",
       "TILTSPEC=       1168.233636168 / Camera focus spectral (encoder)                \n",
       "PISTON  =       733.9870886512 / Camera focus piston (encoder)                  \n",
       "GRATID  = '1700D   '           / Disperser ID                                   \n",
       "GRATTILT=                  0.2 / Grating tilt to be symmetric (degree)          \n",
       "GRATLPMM=                1700. / Disperser ruling (lines/mm)                    \n",
       "ORDER   =                    1 / Spectrum order                                 \n",
       "DISPENC =                23101 / Disperser angle reading (encoder unit)         \n",
       "CAMENC  =              1800997 / Camera angle reading (encoder unit)            \n",
       "GRATANGL=              46.7705 / Disperser angle reading (degree)               \n",
       "CAMANGL =     93.9420942832331 / Camera angle reading (degree)                  \n",
       "LAMBDAC =      8600.0529534495 / Central wavelength reading (Angstrom)          \n",
       "LAMBDAB =        8600.02897351 / Optimal wavelength reading (Angstrom)          \n",
       "DISPERS =    0.242845314745449 / Central dispersion (Angstrom/pixel)            \n",
       "GRATANGR=            46.770293 / Requested disperser angle (degree)             \n",
       "CAMANGR =            93.941337 / Requested camera angle (degree)                \n",
       "LAMBDCR =                8600. / Requested central wavelength (Angstrom)        \n",
       "LAMBDBR =                8600. / Requested optimal wavelength (Angstrom)        \n",
       "TDFCTVER= 'r9_16_1_1'          / 2dF Control Task Version                       \n",
       "TDFCTDAT= '19-Aug-2011'        / 2dF Control Task Version Date                  \n",
       "AAOMOSFT=                    1 / Indicates file generated by AAOmega software.  \n",
       "DUMMY   =                    0                                                  \n",
       "HARTMANA= 'open    '           / Hartmann shutter A position                    \n",
       "HARTMANB= 'open    '           / Hartmann shutter B position                    \n",
       "SOURCE  = 'plate 0 '           / Source slit                                    \n",
       "DICHROIC= 'X5700   '           / Dichroic name                                  \n",
       "SPECTEMP=         18.505859375 / Spectrograph temperature C                     \n",
       "RUN     =                   23 / Run number                                     \n",
       "OBSNUM  =                   23 / Observation number                             \n",
       "GRPNUM  =                   23 / Group Number                                   \n",
       "GRPMEM  =                    1 / Group member                                   \n",
       "GRPMAX  =                    0 / Group maximum                                  \n",
       "OBSTYPE = 'OBJECT  '           / Observation type                               \n",
       "UTDATE  = '2012:12:17'         / UT date                                        \n",
       "EPOCH   =     2012.96092973576 / Current Epoch, Years A.D.                      \n",
       "UTSTART = '11:30:36'           / UT start                                       \n",
       "UTEND   = '11:41:40'           / UT end                                         \n",
       "STSTART = '03:12:52'           / ST start                                       \n",
       "STEND   = '03:23:58'           / ST end                                         \n",
       "UTMJD   =     56278.4795859862 / Modified Julian Date (UTC)                     \n",
       "TOPEND  = '2DF     '           / Telescope top-end                              \n",
       "AXIS    = 'A       '           / Current optical axis                           \n",
       "AXIS_X  = -2.24468734353715E-05 / Optical axis x (mm)                           \n",
       "AXIS_Y  = -0.000104913680592104 / Optical axis y (mm)                           \n",
       "TRACKING= 'TRACKING'           / Telescope is tracking.                         \n",
       "TELFOC  =                38.24 / Telescope Focus (mm)                           \n",
       "MEANRA  =     78.5271531765963 / 05 14 06.52                                    \n",
       "MEANDEC =    -40.0445912127103 / -40 02 40.5                                    \n",
       "TEL_PA  =      89.912150295035 / Rotator position angle                         \n",
       "HASTART =    -30.4262828003103 / HA at start of run                             \n",
       "ZDSTART =     26.0743411106438 / ZD at start of run                             \n",
       "APPRA   =     1.37258479359095 / Current apparent place position right ascension\n",
       "APPDEC  =   -0.698690156683025 / Current apparent place position declination    \n",
       "WINDOW  = 'AAOMEGA_2DF'        / Observing window (file name)                   \n",
       "CFG_FILE= 'N1851-bright-f1.sds' / 2dF fibre configuration filename              \n",
       "TDFCTEVT= '3       '           / 2dF Control Task Event                         \n",
       "FLAPS   = 'OPEN    '           / 2df Flap Status                                \n",
       "HAEND   =     -27.650863019643 / HA at end of run                               \n",
       "ZDEND   =     23.9909539573667 / ZD at end of run                               \n",
       "WINDOXS1=                    1 / First column of window 1                       \n",
       "WINDOXE1=                 2048 / Last column of window 1                        \n",
       "WINDOYS1=                    1 / First row of window 1                          \n",
       "WINDOYE1=                 4098 / Last row of window 1                           \n",
       "WINDOXS2=                 2053 / First column of window 2                       \n",
       "WINDOXE2=                 2074 / Last column of window 2                        \n",
       "WINDOYS2=                    1 / First row of window 2                          \n",
       "WINDOYE2=                 4098 / Last row of window 2                           \n",
       "XEFFSIZE=                  15. / Effective X pixel size in microns              \n",
       "YEFFSIZE=                  15. / Effective Y pixel size in microns              \n",
       "FILEORIG= '/data/aatobs/OptDet_data/121217/ccd_2/17dec20023.fits' / The filename\n",
       "HISTORY 8-10-14                                                                 \n",
       "HISTORY 9-10-14                                                                 "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_hdr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Working with image data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_dat = hdulist[0].data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4098, 2070)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_dat.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('uint16')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_dat.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(squeeze=True)\n",
    "ax.imshow(test_dat, vmax = 2000)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(squeeze=True)\n",
    "ax.set_ylim(0, 500) \n",
    "ax.plot(test_dat[:,500])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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e25UACYLRbPffpgmBgD48/PP8ow488y4ewKiAAIQhAUCMABBRwBbt5Z6/fuHa8/NI4/Iedev96/ToAEEIADAn0WL5Blxxhlx9wREAQQgCEtRC8CSktzaAF5xhdTr1y9ce266dpXzrl3rX+eqq6TO5s3Rtg0AKA5UAJ5+etw9AVEAAQjCUtQCcOvW3HoBX3651Hv++XDtuXn4YTlvso9JYxAmGyUEAJRdfvpJnhENGsTdExAFEIAgLEUtAP/+OxoBeNppwc5x2WVSr0+fcO25eeghOe8ff/jX0Swka9ZE2zYAoDhQAXjaaXH3BEQBBCAIS1ELwM2bcysAL7lE6vXuHa49Nw8+KOddudK/zk03SZ1Vq6JtGwBQHCxcKM+IU0+NuycgCiAAQViKWgBu3BiNAAzqYNGypdR77rlw7blRAfjrr/512rZNLRIBAGWXH3+UZ8Qpp8TdExAFEIAgLEUtADdsyF4qOK+UbxdeKNt79gzXnpsHHpDz/vKLf52bb5Y6y5dH2zYAoDiAACwuIADLHg8T0VQimkJEI4hoNyJqQkQziGgyEY0looqldY8rrfshEX1ARAd4nK+oBeD69dEKwK1bzTYi5latnPXOO0+2P/ts+m0QMX/+ufe++++X/YsXM0+e7F3nllukzpIl6bcNACh+fvhBnhH168fdExAFEIBli7pE9LG1/hIRdSCipURUvXRbFyJ6unT5q9JjiIhaEdEbHucsagG4bl00AvCMMxJDrBBJ3D+bc86R7U8/nX4bRMwjR3rvu/de2T93rrz++GNiHR0BXLQo/bYBAMWPCsB69eLuCYgCCMCyxWFENJeIdiKibYhoJBFdRTIaqNQkou9JBOHP1vYdiOgvIirnOmdRC8C1a6MVgBs2mG1EkvnDpkUL2f7UU+mdX+MVvv669/5OnWT/hx/6izx1Avnhh/Ta9mL9euZx48KfBwCQPyxYIM+I//wn7p6AKIAALHt0IqLfiWghEb1NRJcS0XBrf3ki2kBEJxHRLNexK4hob9e2ohaAq1dHIwDPPFPOsW6d2UYkuX9tmjaV7T16pHd+9VYeMcJ7///+J/vHjJHXhQsT62gYmO++S69tL7p1Q1YRAIoNFYAnnxx3T0AUQACWLU4gok+JaNfS9b4kU762ANyViNaTCMDZruN/I6K9XNuKWgD++We0AtB+m4iYr7nGWe+ss2T7k0+md/6//pLjhg832264QUb+mJnbt5f9AwbI65w5ie20aSPbvv46vba9UKcTAEDx8P338r2uWzfunoAogAAsW9xFRE9a62eTOHdMtbbVJqJviagaiW2gsgsRrSWZOrapQETctm1bbteuHbdr147Hjx+f05s4mwLwjz+iEYANGyYGYiZivu46Z71GjWT74487t3fpIvaBfqxaJccNG+Y8PxHzCScw3367yTBCxHzppfK6996m/jXXyLYvv0x9PTVrMr/6qv/+++6DAASg2PjuO/len3RS3D0BmTJ+/Ph/fqvbtm0LAViGaE5EHxHRtqXrjxDRE0S0iMT2T7c9Wrr8KRGdUrp8PRG95nHOvBgB3G237Jz799+jFYB2jD0iGXVjZp4/n3nTJmMr2L27bB88mHn6dOadd07eh19/lf2HHiqjgXp+Lerh+8wz8qrxBqtVM+fQXMBz56a+HiLmc8/139+lCwQgAMWGCsATT4y7JyAKMAJY9niYxBN4Eomgq0hEDYhoOkkYmOEkdoBEREeRCMbJRDSOEu3/iIpcAK5cGY0A1JE9OxAzkUzT6nKXLiZgdLduZvv++zPvumvyPixebPo5b545VsuNN5qRRSLmCy6Q1+rVmWvXlinq1q3N9HAy9JzJRiTvuQcCEIBiY/58M6sACh8IQBCWvBCA2ZoCXrEiGgHYuHFiIGYVZrrcpo2kWNI4W9pu9eqpBaAt9j77LHGb2vd17SqvGm+wRg1T5/LL5XXGjOTXovXPPlvWS0qk2HTsCAEIQLGhAvD44+PuCYgCCEAQlrwQgNkaAdSp1agE4OLFZhuRpF/T5euuM8JPBR8Rc/nyZrl9e+Y330w8vy325swx4V60XH21vGo8QI03aBe1C/zwQ//rsANjN29u2nanrlOvYwBA8fDtt/K9Pu64uHsCogACEISlIAXgUUcx//RT6nrLlhnB4x7lSge1AbTbJJLgy7p8zTUSXmH77Zn32CNRoGk54ghzjjVrzPFapk9PPOayy+S1cmV51XiD9ihgs2by6iUw7T5radrUbLv0Ume9u++GAASg2PjmG/le//vfcfcERAEEIAhLQQpAosQ8vF788osRPFu2ZNY/ZuPcUaMG81tvmT7ceqtZJhLvuvLlmffZx18AEslI3Lx5sjxpknPflCmJ9S+6KFG86fK++8qrhqoZMsT7GjTYtJYmTUzfW7Z01r3zTghAAIoNCMDiAgIQhKVgBeDgwanrLVliBM/ff2fWP2bm004z59GHJxHzbbeZZb2OSpWSiz8iid+ny4MGOff16pVY/+yznevnn2+Wq1SR13r15LV3b+9r2LTJeY7GjU3fzzvPWfeOO5ILwBUr/INWAwDyk6+/lu/1scfG3RMQBRCAICwFKwCHDk1dz/autfP4povt1KHCiEji8+mylr32Si0AdYTNSwB6FbVB1NK8uVmuWFFejztOXp991vsa7KwoRDKt3bevmVK20biDW7dKarlPPjGp4Tp0cL4PAIDCQAXgv/4Vd09AFEAAgrAUrAB85ZXU9RYtMmJl06bM+scsU7u2eNq6VV7bt2eeOdO5r1q11IKubdv0BKCGl9GiYWnsUquWvHrlIS4pYZ4wwVm/alXJCUokGUyYmTduZO7c2YSdUaGqjizu6WkAQOHw1VfyvT3mmLh7AqIAAhCEpeAEoHqyvvZa6ro//WTEyoYNwdsoKWGeNcus//vfTuGjqds6d2Z++mnnPrXJS1ZuvtksDxyYuv7JJzvXNdyMV/FKQ6cjfe6yyy7yeuaZUk8FnsYZ1LL99vL66KPO7XZcRABAfqN2x0cfHXdPQBRAAIKwFJwA1KwYdto0P3780YiV9eu96yxfLvs3bjTb1BNXPYePPNIpfDTA9EMPyYibvW+77eT1ttv8RZpeA5HJ75tOscPMuIs7DZ2+x15lxx3NCKNdTz2K3eWxx5zrffsG/9wAAPGiAvCoo+LuCYgCCEAQllgFoHqm7rpr8GMuvFCOCeKE8MMPzlE7Lz7/XPZrSJY//zTH6LTxYYc5hY9OLXfrxtyjh7dY6t/fX3jdeqtZvv765GIvyIiilvPPN1lImJmnTXPGQnQXtR8kctoIqtezu3Tr5lx/8cXgnxsAIF6+/FK+t0ceGXdPQBRAAIKwxCoA1ZYuHQGoHrEjR6auu2CBESvr1nnXmTtX9v/+u6x/9JE5Zu1a2WZn3CAy4RQee4z54Yed+7R/mrbNq3iNDu6/v9jm+B3TqlVqAfjf/zI/8oi5NiIT1Nmr2B7Lti2j2ga6S/fuzvUgoXhywYYN4Ww8ASgLqACsUyfunoAogAAEYYlVAG7ZIg+kdKaAmzSRY0aPTl1Xk5/bI3xuxo+X/XffLVOzH39sjvntN6mz//5O4fPpp/6i6vTT5dVtL5dKANapIyLV75hVq5zr11zjLRIffthcG5FzujlZmTXLLKtHsbu4RW0QT+xklJRIOB87SPeGDf6flR9VqyK/KQCp+OIL+d7awehB4QIBCMISqwDcvDn9EUANeDxmTOK+DRuYX37ZrGvuSyKZ4nRjh4nRYjtMXHGFeOy6Azu7PX/toh7DDzzgX0fDrNhFDbP9jlEnFl3v3DmxTuvWzA8+KPV0et2rLa8yZ45ZPuII7zp2/EKiYHaYydBA3T/+aLadeipzuXJmfc0amZZPhvYHAOCPCsDDD4+7JyAKIABBWGIVgBqcOB0BeMopcszYsYn71KFC0alaIm8RoVMiqYo7tZvtuWtPl3btKkFWiUzeXq/Srl2iJ6/G5rK3PfusWdZA1rr+0EOJ573qKub775d6Kq7btw92jZ98YpZr1vSuY3svEwWbhk+GOuB8/73Ztttuzs/w0EOZd9op+XkgAAFIjdo7164dd09AFEAAgrDEKgA3bpQHUjpTwDrC5pXzVh0vFA18SiRTqDZff+0c9UpWdt7Zf1+dOmZUktmMnq1ebcSqu9xxB3Pdus5tdoYRIhllVBtJIjNN6haHHTuabddcI8KTWUbOiExe31RFbSHTKaNHy+tnnwX//GxWrJDjv/nGbNPMJkoQcQcBCEBqPvtMvieHHRZ3T0AUQACCsMQqADdskAdSOiOAap/29tuJ+3r3dgqBefNkOpHIOHko6QgdjZfnVfbdV3LparuHHGKW/Y65447E2IJqw6Y2iJ984jyHu99Dh8rrPfeYbW3ayNQwswlV06mTiNRU1/jZZ4nezqlK167y+sILwT8/Gx0B/PJLs22//SAAAcgGKgBr1Yq7JyAKIABBWGIVgBpQOR0BqMLpnXcS9z3zjFMIfPmlicunDh1KuqNdfmXbbc00KzPzgQeaZfWy1biCtgB0xxY86STTZyKZrrH76e73u+9KDl97lPOGG2REkJn555+NQKxdO/V19OyZ+XuQaTzASZPk+OefN3EY1ePafb3JgAAEIDU6yp9MAFauLLMGIP+BAARhiVUAqtdrOgJQbezGj0/cp16qyuefm2DHK1c660YlAIlEbE2bJud95x0JD8Ms9mvan1TnqFdP6i1dGkwA6gihve2mmyTsC7Px6rXDwFx3nX+Il5tukle1wUuneKWfC4L7PMzOEVSv6092HgCAPyoADz3Uvw4RnEQKBQhAEJZYBeDatekLwPr1/QXgI484hcBnnxn7vRUrnHXDir6DDzbL7ullRZ0pgrR36qlST+0iP/rIeZy73z/9lLjt5puZ77pLtql93vHHm/2tW/t7MN9xR+J1pVMyIZkAbNDAiGEIQADCo+GrDjnEvw4RnEQKBQhAEJZYBaA6KqQjADWLxrhxifs09MrmzeL1O3euGdFatkzq6EhgWAFoB4f2CzKtYoqZ+Yknkp9P07ExM3foYFLX+QlA9QrWbY0aSXzBO+6Qba++KtuPOsoc07KlCQ+jRZ1qOnSQVx1hVdvJoCWdXMvua7Gv0fZA1r7Z1//eexI+xus8AAB/1NO/Zk3/OkRwEikUIABBWGIVgJp2LR0BqKFIvJxA1CFCgyR/8omEcNluO8kK8v77sj1ZejQtO+1klsuXT9x/0EFmefNm775Wr+4t3rzK6ad7n2P+fObXX3eeY8cdnXWWLZPR1HbtJO4fM/OgQVLXjunXokViP84/X171vatXT141TE2/fsEEYDqOICUlzEuWeAtAW1gffbRZvuEG0/emTZ3ngwAEIDUqAGvU8K9DBCeRQgECEIQlVgGo2S3SEYA33ijHeIWBUXu3f/1LXufMkbAie+xhpjiJZPo0laCxR5/22itxv4o7ImcmCxvNIKIMHOgcCZw1y8QU9BOAbohkWtuL9u1lhJRZBBmRc0p3+HDnPiLmSy+VVx09ve460x8iyfcbRADaKehSMXiw9zmYnQJQP0ctGri7UaPE98R+n0tKJBPLli3B+wRAsaNhrw4+2L8OBGDhAAEIwhKrAPzjj/QF4PXXyzFegaBV5Om056xZIt4OOkhGv1QoqIdssmIHarZH+7TY6eH8qFYtcb+dam7RIrkOIuYzzgh2/UQSlsaLu+6SEVJm5j59pO7ee3sLZu3DlVfK6333SYgdDTDdqJG8qkBt3Tr5+9WtW7D+M0vdIALQHSpHS6NGztAx7s/ht99k/bvvgvcJgGJHBeBBB/nXgQAsHCAAQVhiFYC//56+ALz2WjlmzBjmChWcHqg6PazTnjNnGgFklyACsHFjs3zkkUYQadl339QCUFPI2bhzDb/3XnQCsEMH8eZlNiFxNIahO3ey9kEFdceOMur51FOyftZZ8jpkiLyq7aWWNm3Msk4jB00N1727vwC0Ryz9chJvs42pr2LPfp91pPDnn2V982bJk2zbTTLLtar3NvfzOcUAACAASURBVADFzuzZ8r048ED/OkTJvYRB/gABCMISqwDUYMXpCMCrrjKChsjpPKFiplYteZ02zYzC2eWHH5zrXg4P551nlu++m/mcc5z77fzAfrizWjA7BeCGDZLt4+CDmSdMCHb9RGKT6EWnTvIeMMtU87bbmrZGjEg8jy3k2rcX+z8Npt2smbyqM0mXLolizU/EpULD9YQtjRsbgWq3/f33sr50qayr2YA6AtnvwZFHmvWSEv/pfACSsffe8h3KZzQ0VPXq/nUgAAsHCEAQllgFoKYCS0cAXnKJHPPaa4kC8OqrZZtOIzZp4i0cvvrKua6OD3a57DKnULOnkImYTz7ZCEc/NIewjS0AMxEbtWqJCPbinnvEho9ZbPI0ELW+Xza6XW3+brlF3ku1+Tv7bCMciZife85fAOr7HlQApvKIzrQomvR+8WJnPuhff2X+4AMTdJpIsqTY74mm0gMgHYjkz2Y+owLwgAP860AAFg4QgCAssQpA9cYNKgB1ZMcuKgDtaV3NxuFXxoxxrrtH92xhRCTOBM2bO/c3aWJi7PmhNmw2tgCMmnvvFQ9oZnHqsO0UvVLhHXigEeE33MDcsKEZUTv3XHkdNUpep0xJFFv77y9C84MP0rum7bfPngBcs8bkYF60SN4T3a8jzmqvSCTmAvZ7Yv+h2LLFP8QPADZEYpKSz2gM0P33969DlDxOIMgfIABBWGIVgMuWyQPHb0rTzbRpiT/6p50m+9wjVMlKz54iOnX9v/9NrHPbbWa5pERCj9j7mzc3Nmp+/PGHhDuxCRrcOBMeeMCMDnbu7EwB54aI+aKLZLlqVRnFa9JEPIWJmNu2ldfXX5fXX36REDNEIuBs7M8lCNkQf0Ti6GKvL1zIfP/9Zl3Fbrt2ph921gMipy2mOhUBkAoiCTeVz6gA3G8//zoQgIUDBCAIS6wC8Jdf0hOA9uiZlpo1Tbq3oOWJJ5y5eDVuIJFMffbsaQIjqwBQpwgt55zjPcIXBLXNi5qHHmK+4gpZvu02pxOFmwEDTDaRatWYL79crv2NN6T+l1+KreTLL8v6+vXMy5d7x/vTDANEZno1GdkSgO5Spw7zgw+adf3DodPkRCbo7VtvyXrDhqafOpIIQCqIEuNz5hszZgQTgMkCRYP8AQIQhCVWAaijYUGngL0EoFdR5wu/8vDDEmNOPUjvuEOCRJcvL84PvXs7nR6YjRewBjC+4AKTNSNdsiUAu3YVIccs4V0aNAg2MrffflKnRQvJZUwktnPMxl4vGbadncYaTEauBKB+1rqs95tOk9sCUOs0bmz6qWkHQdlm/HgZPUsGUfA/snGhAjCZrSJR8kDRIH+AAARhiVUAqpgK+uCcPj3Yj36q6eB77hH7PWZZf+QRybix004y0te3rxk50uwZDRsaMUAkI20aqDhdsiUAH31UprOZJTSLOnKkaks9mmvUYJ44UZY1hp7aBCZj82Zjb+h2NvEilwKwa1ezrHai9mevMc+0zllnmX6qcxAo2xCJw1eqOhUr5qY/maLPz3339a8DAVg4QACCsMQqAPUHWQXg5s2Sv9cPzVqRqrz6qnesOc0Uctdd4sXLLFN/69dLqrjttxeh98ILIgqJjFPAO++IBzKziKTff2c+5pj8EoDdu5s+NmokgjAdAVi7trHnW7BA9pWUiGNFKnr1kuNspwo/cikAbRtAOyzOhg3yesgh4uyh25s0Mf08+WQIQGDunVR1dt89N/3JFJ1BqVrVvw4EYOEAAQjCEqsAXLRIHjga2LhHj+Q/uEF/9MeM8a7/+OMSr+vWW8W+y2bhQvmXf/rpYvemwsEeEXJz5535JQCfeMI4dpx2mtj5aU7jZGiw7KOOMsFif/wxvbZVABLJ55iMXApA2xPaLmrjWaOGXKtub9bM9FPTAS5alN57AYqLoAKwSpXc9CdTVADus49/HaLkqeJA/gABCMISqwDUnLya21ZDdnihIWOClMmT5Rj39qeflumPNm0Sc+9q9ohTT2UeNMgIBJ0C9iLTwMHZEoA9eohtIrOMXr3ySjABqDaTxx5rYuipg0hQ7Gn3c85JXtf+TDSrh1exQ/FkWurUSb6/WjVj9+j+vHXbDjuk916A4oIotYcvUfKRtXxAR/f33tu/DgRg4QABCMISqwBcuFAeOOo9l0wADhsW7Ad/1iwjyogkwLHu69lTRoRat3Ya+zMbj+S6dZmHDjUhT5o2jf66syUAn35aMpgwi53b66+bmHvJ2HNPqXPSSWILSWTSqAXFFoA6CulHqs9Q09iNHBleAKonr1/ZfXeT7cQWr6ef7qwHyi5EiaGPvOoki6+XD0ydKv3cay//OkTJcwWD/AECEIQlVgGoKdl0hCWZAOzTJ/WPfceOzmOIJJ5d376y3Lu3BD+++GLnVB+zGWH897/FkUHThwXN0ZsO2RKAPXsaAXP00cxjxwYTMLvvLnXq1zfToe74hamwP5/LLvOus2mT5OT1+uwGDDDLL7wgr8uXO8P1ZFLUk9ev7Lyzs+1zz5W+uuvNmyfv58qV6b0voPCxn1HJ6iTLsZsPaDD3ZFPVEICFAwQgCEusAnDBAue/62QCUJ0ykpUpU5zHEEmGizVrZLlfP7H5OvfcxGlKDQlz5JGS/kxzDn//ffTXnS0B2KuXmcKsXds5tZmMypWlzumnm6nwdEcAbRF15ZXedez0eu5ixxIcOlRe7SwcBx2UmQB0j+R5FdtbWkdQ3XXUO1pzLbsJIpjTFdUgPwgqAPM9ft7kydLPPff0r1MIQhYIEIAgLLEKQE3ttu22zJ9/ntyrVh0uiMzonLt8/LHzGCKxI9u4UZZ79ZI8l02aMF94obPuqlVSp1YtmXps3To7Io05ewKwTx8zZV2zJvOECcEEYMWKUqdRIxMsOV0nEHuKvk0b7zpHHOEvwtT2kIh59Gh53bDBHKsp6fr3j14A2kVtKN3b9b1s2TLxujTDyIoVsr7rron34ty52bufQHYhSh3kWZ8d+cyHH0o/99jDvw4EYOEAAQjCEqsAVHuzcuVMMGIi5k6dEuva2TqYnT/OZ5whr7NmOY/5z3+YJ02S5bp1ZZSpdm0J7aLhUpS1a+UcBx0kXsQrVjCPGxf5JTNz9gRg377Ga/mAA5g/+iiYAKxQQeo0aybhbYhMGJigqPcwkdhdepFMAH71lVnW3MKbN5tjNX/z2rXMn30mfxiSjeRp0Vh+QctFFxlbKbuMG2fO1769LE+bJn1TZ6bFi2WdyKSbU/THNxOnIRAvROJMlaqOnVYwH9FR7GThaoiYq1fPWZdACCAAQVhiFYDffmt+YDUWnd8/1PPOc4oZO86f5un95JPUbdapIx6ymjFDWb9ezlGtmuSUzSbZEoAvvCCjeBrjbto0EcGpRiY0L7JOH48alZlQ0c+ja1fv/YcdliisDj1UXu1sImvWSB9s1J5x0yazbd48seHT42bNkle3Z3H58sEFYMuW8qfBvV1HIO30ei++KP3Q+jrFS2RS8jHLVHbNmomiFhQGqQRgSYnUOeqo3PUpE3QUu3Jl/zoQgIUDBCAIS6wC0P7Rt3/IK1VKrGvn4mU2MQRVuBDJqFAqjj5aHD2uusq5fdMmOUeVKtkb+VOyJQBfeon5zDONI8evv0qQ47//Tn6cCqRU4VtSoZ+HxhV0c+CBTlG1caOJt6gCXJfdaK5etzDVdHxEzHPmSAiLc89Nb9TPXdq1S9xWu7a82u0NHCiCTtd12lzX69SRdVtQ6rU1auTtYKSjtiB/0OeTH3//be6NfOb99/2frwoEYOEAAQjCEqsA/Ppr88PoHrXp1Yv5yy9NXduWi5n5r7/Muv7gz5uXus1jj5WpyOuuc27XbBAVKzK/+2501+hFtgTggAEyvT1/fvIfLDcqvtUBIlPcoslN1apm39dfy7b77jN11UN469bEY3UK1o09IqchgHRERkv16qlF3777mmX7z4afECRiHjzYhA+yr9le37JFcsnq+h9/OEWjm+efhwDMN1IJQH0WaYrBfOW994IJwAMOyF2fQOZAAIKwRCoAn3lGftCDMm9e6h/m1atFkNWvz/zkk86sDFrn/PPl9dtvU7d5/PEyHXfjjc7tKhp22kls0LJJuXLZ+ZEfNEgCWX/5pdj1BUWDRasDRKa4R97caLgZe58tAP/7X//3Zc0asQN1c8IJ5pzTp5vtdj+eeir1fWZ7GV9wgdMkwS7VqpnlIUOM/Z+fAHQ7oTRtakZIva61Xz8IwHxDnwt+/Pmn1KlbN3d9yoR33zV/cv0gyv94hkCAAARhiVQA+v2o+fHll6l/mO+6S15PPJF5+HDn8Zrm66KL5DWI48JJJ8lxt96auG/bbUWcqeNItsiWABw6VITyp58mD/XgRgVgqgDOQVAR53V9amto77ND/1xySfrvi6ZrI3KaANj3kAaWTlYOOcQpAG2h51datHCOYnsJQHfZbrvkIvnFFyEA8w2i5IGgV66UOvXq5a5PmaBhoZL9OYQALBwgAEFYYhWAdugPv6KZLI491uT4VZo1k30qHBYuTN3mf/4jdn533JG4b4cd5DzueIJRky0B+Oqrcn0zZsiUZlB0Cvjii8P3wQ707EY/Sz8BePnl6b8vOmJ28snO7fY91LNn6vvM7aASZNqYiHnmzOQjfu6in73fe6TxFEH+QJQ8F/Dy5VKnfv3c9SkTxo0TU5vddvOvAwFYOEAAgrDEKgC9Qnn4ldq1md9+23m8Tv3qqJOG4UjGKafIP+C7707cp0JIw3tki2wJwGHDZBpqypT0DLnVCeTSS8P34cor/e8DL+HTpYtZ11A/6TJqlPwI+7XVu3fqET13zuCDD06sY6cV1NK8efB72KtooPFu3cQpZvBg2Y5wMfkDkQgnP9QO9JRTctenTHj7bRGyu+7qX4dIQnKB/AcCEIQlVgGowXGDlvfecx6/fLnYtagA/OWX1G02aCAjfZ07J+7TKcoZM4JfQyZkSwCOGCE2cRMmyJRmUHbbTfrjl8ItHa6+Oj0BeM89Zl3j60XBG2+IRzSROFYwm4wnXuXoo53rBx3EfNNNzm0ai9AutmNLpkXtTydONFlQUnlug9yR6rm2dGlhCMA335RnX/ny/nUgAAsHCEAQllgE4KBBEtfNTv8VpIwe7X0+nQLWTAzJUFHg5axSqZLsmz079XnCkC0BOHKkeMW+8454OgdFbQBbtQrfh+uu874P3MGVFVsArlkTrQd2y5Zy7n79ZP38803QayIxBdBlzUKjpVo15tdfd27TMBp2cdv0ZVLUA33CBMlDTeQdCgfEQ6rn2pIlsj/fp4DHjpXv+i67+NfRex/kPxCAICw5F4B2iI5PPkm0iUpWXnrJ+5wqAP/4I3UfGzeWug89lLhvjz1Mv7JJtgTgmDFiK/nGGyJogqLvb+vW4ftgZ+Ow0VzOLVs6p987d87Oe8EsjkNEJmDzli3OECy1apnlk0923mt77WXEmBbN5nH77eFFn100VSGRjOISiff77bdLP0Bu2LpV4jC6SfVc+/nnwhCAY8aI+EsW0gYCsHCAAARhyakA/Phj5w/fnDnpjaD4TfFefLH50UyFZg157LHEfXvtJfs++yzY9WZKtgTg2LEi/EaNkpHAoOj76w6OnQl6LneoiSZNZPvMmc7tnTplTwBqvMWXX/buY4cOZln7p6VSJRlRvuACs01HMR94IFoBqGFEiGQUl8ik5Ev3vdm4MbK3r8yhU/xuUn0OGpQ+372AR48Wc49kIW0gAAsHCEAQlpwKwEGDnD98s2ZJknW/H8a6dZ3rfuhU319/pe6jZg3p3Ttxn9pz2QGos0G2BOCECcw1asjU5QknBD9O31+vOHvpouc68kjn9kaNZPunnzq3+wV4jgKdsh00KLGPDRs6+/vww857zZ4mI5IfzhkzZLlv32gFoG2b+MYb8vr99+kLQBWN2bZhLVZ0xNdNqs9BY0G6PdHzjVGj5I/Zjjv61yFKL4IAiA8IQBCWnApA9XAkEhE0c6b80Pr9MJ52WjABqHEAg4x+aLDiyZMT92lcQc1SkS2ylQnkm29kemfYMImPFxR9f93ZUTKhdWsRNG4bRPWWzfb0uo3G6BsyxLl90SIzWqzXrlkStNhx33Sbxq186y2Tss2rTJkiMSs1rFA65c03E7f16CF/cqpUMbaBW7fK98n2Fr7+eqmf7Uw2xcrw4ZkJQE29mM53Lg5ef12+mzvs4F+HSP4Ig/wHAhCEJacCUD0ciWTqd8YMZ3Bgd9FRo6ACcMuW1H3UKb2pUxP3aa7a+fNTnycMmhEjan79Vc778svpjUbo+7t0aTT9GD9ewvbYnHeetDFnTjRtBEF/mF95xb/O4YfLD6Jth+e+31q1Yr7zTpkSJpIwQXYuar/j1KkonfLSS6nr/PWXiaG5bp1pr1s32WZnRAHBUacfdwieVM+fH36Q/SeemN3+hWXECLFz9gtqvXWrXMc+++S2XyAzIABBWHIiAA8/XH6EX33V+UM2aZLTE9Nd1GEj1QP4wgu9H9xe6HSx1zRZjRqyL0hGkTBo0OGoUVuy3r3TM0hP9f6my3vviYOFzYUXMh96aDCRHhUan23oUP86a9cyr1oly5s3m6C+Xu/Hli0yertypfH8TCYAbSeTIJlFgpamTU0IpYEDTQpEHWHPdhzLYkXtL90heFJ9P3S6Pt9zAQ8bJs/b7bbz3v/33xCAhQQEIAhL5ALQ6+FCxHzWWYk/ZN26OX8ktegIWVABqKN6Qbj0UqnrFerl0ENlX5CMImHQ/LVRo6NYTz4pOYGDMnt2tNPeH3yQGIfwvPOYn346ujaCsGqVGRFNByIJDJ0MWyi6PYiVc84x2448MnPBt802zvUDD3SGUFJ7T80i4mXeAFIzerS8f+4QPKmeP999J/vTcbyKg9dekzzUfgJw0yYIwEICAhCEJSsjgL/9lrj9jDMSf9g6dTKhOvr1kzRmzCadlu2ZeeCB/u1qRpAgaLoxtzMCs0xbEklYh2xSv352BKCG2Hn4YQl4HRcTJ8poqk2LFszPPZfbfmzYIO9H377pHaf3azI0/yuR07npq69MHR2ZJkq0Zw1S3E5QWmrWFFtKXW/SRNp74QVZnzAhvev1urZs/wnKR9QBZ80a5/ZUAnD+fNl/7LHZ7V9YXn1VHDz80trp92XvvXPbL5AZEIBlj+OIaBYRTSeicUS0KxE1IaIZRDSZiMYSUUWr7lQi+pCIPiCiAzzOlxUBOHiw93Z3uf12M8o3b56p36BBogBs08a/XbUvC0Lr1lL3888T9x1+uOyLyhbOj4YNsyMAmcWerVOn1AImm3z4oWTSsGnSxGTkyBUqiNMVnm3byjUk448/zL35yitmedEiU0dHm4mcGVKCliee8N7uHjW/9VZpT72TwzqB6PegrKEOOO54oqkE4DffyP50Ym/GwdChkuWjXDnv/X/9BQFYSEAAli22IaIFRFS3dL0jETUnoqVEVL10Wxcierp0+SurbisiesPjnFkRgMOGeW93l1atRJC5p6x0hExj9hEx33CDf7vpCED9IbYFp3LEEbLPnVc2atQjNhtUqCDCWsOcxIFXLuKGDWWEKtcQiRdt1Nix+4YPN+nA7HtH/2wQia3hQQelJwB79PDergJNy6OPSnu9esm6O2d2umhqwLLGW2/Jdf/6q3N7KgGo3uZHHx2snbhiNQ4ZwnzAAf55jdesgQAsJCAAyxbHEtEXrm2nEtEUa70mEX1PIgh/trbvQER/EVE51/FZEYB2yjb1VvQqzZqZ0Quv8zRrZpZvusm/XQ3tEgRNVfbNN4n7VACuXBnsXJmSjs1iulSpIuFAzjorO+cPwtSpElLHpkEDsVHLNUTeQb/D4g7ezCxxLW2uvdYpHr78kvnBB4MLwCef9N7+r38513W6/9lnZf2NN8JdW1kVgBqT0j0DkEoAfvWV7HfHvvSDSJ6LuWbwYPMnxAu9p5F9pjCAACxbtCSi8UT0LBFNI6KXiOgKIhpu1SlPRBuI6CSSqWKbFUS0t2tbZAJQ85m6RyCS/cDVrcvcpUviuXS/nVbsllv821Zj+yDccIPU/e67xH0qAIOklAvD//6XvR/YffdlvvJKGT2Ni48/TswmUL9+Yjy+XEAkoitqNGRGMsF1443e4iGoAPSbAj7++MRtw4aJ0LUFaTqMGWNiI2popiBe9cXE22/Ldf/0k3N7KgGo8SGD5t8mktHGXDNwoIl04IWaNUAAFgYQgGWLlkS0mIj2LF3vR0Q/klMA7kpE60kE4GzX8b8R0V6ubZEJQLUfIZIwIEqyH7hatWSUw43u1/h+RBKHzQ8VikFo21bq/vBD4r46dWTfn38GO1embN7stBWLkv32Y77sMplmjosZM5zBZFUsPfts7vtCxHzPPdk5t07R+k253nZbcgFoZ/sgkmniIALQNo2wizoxuU0wgkAkqfGYmcuXl/U4BHucqA2gOwxUKgGosxyHH566DbVLHTUqXF8zYcAAE+nAS9z/9pvsq1Il930D6QMBWLaoR0TvWOtNSJw7plrbahPRt0RUjcQ2UNmFiNaS2BHaVCAibtu2Lbdr147btWvH48ePz+hmtI3iJ02SbRqI16/suae3XZjub9XKLCf7Edf0bkH497+lrpcA01Ada9cGO1c+Ur265EY+++z4+jBrltOOSFOUeU33Z5vq1bMXF++ZZ+S6/L4yd96ZXAAySwiXZ581I0L77Wf2P/649/fGHSBdyyGHyGuyuId+EDHfdZcsqwB84IH0z1PIaC5gt3lIKgH4+eey/7DDUrehf4YyEelheeklE4N069bE/RrofM89c983EIzx48f/81vdtm1bCMAyxHYkjh06ivcQET1BRItIbP+IiB4hokdLlz8lolNKl68notc8zhnZCKAG3bUFoN9IhZZy5SQ6vRvdb9tQPfSQf9vpCEA935IliftUALrjgBUSBx0kNobnnhtfH+bMcU4jaZy0nj3j61M26NlTrssv7ErHjrLf7VGczMZUs9EQMXfvnvidOekk/+9TzZry6s59nIpvv/UWgF7mGcWMBoJ25wJPJQA1KPehh6ZuY/NmqXv11eH6mi4a5FkD73sFZF+2DAKwkMAIYNmjLhHNJAn5MpKIKhFRA5KwMJNJpoPLl9Y9iog+Kt0+jhLt/4giEoCffCLTJuXKySiE/iDaThzustde8uplC6MjHHff7fwx9CMdr1o937JliftUAG7aFOxc+UiNGjL6d8EF8fVBgxTrNNOsWSIqvEYdCpneveU6p0zx3n///d4jSslQEVeunEntpuW++5i7dvX/Th18sLyqV3BQ9HgVgJqfu2PH9M5T6GguYHeM0FQCUO93d/BzL+yUg7lk3TrnveLOdsJsPNkhAAsDCEAQlkgEIJE4Nuyyi9j1qQ2gCjMi86OiZd995XXcuMTzdeok+9atkxAxTZt62+wpKjSD9pVIpjvcqADMZbqyqDnkEHm/Lroovj7Mni3vo3rFTpsmU5vFxvPPy3X65d5VL95k964bjfE3fbpx6tBy771iCqHrfmkUb7ghuAOHOkURGTvbnXd2CsJU3HVXogd0ITF9ulzDa68571sllWDToNzu4Ode2LbSuWT1amlz223ldfPmxDqLF8u+PfYIft4PPyx7zkL5AgQgCEtkAvDKK5krVxZDaLWJ0qnZs882oSW07L+/vHrZT6kADIpONQdBH4Besf509KWQH2i1askI6sUXx9cHDaehU2legaGLgX795Dq90goyM/fvL/vTySyjnujMzH36OL8zXbowd+5s1keM8B8NTPcPkS0Ay5WT9Xbtgp/jvPOCX2O+oc+PoUPl9eOPnfuTvZ/r14uAJAp2j6ujT67fL7XD3XFH/1mORYtkX+XKwc6pDi0Zmo2DkEAAgrBEJgBbthTPz8MPl1h7zMY79/vvmStVcv7YqK2T7TGsqO1UUNIRgDpq4k73xFwc8c9q15ZUepdeGl8fNJ6YBtt+//1g9lGFxosvynV+9pn3fhUU6QQWt80Z7NBKRCL+OnQw6+++G60AbN/emdYuWegl9zniHHEOi/5R1Wt3B6ZP9n66n2mp0JG4Vq3C9zsdfv1V2lX7Ti8BqE57FSoEO6faFfbuHW1fQTAgAEFYIhOALVo4DdiZjQD8+Wfm3Xd3PizVXumDDxLPl64A1JRxQUgWCDWOqZmoOeIIibl32WXx9qNSJZNub9y44DHSComXX5b7xc7/azN6tOz//ffg51yzxhmHzg763LmzU/SNH29yaXsVL5vL6dON2cXMmYkC8KabnNvatpU/E8lCwnh9b1IFU9+wwftPWBxoIHn9PN1OPUEF4AEHpG5LoyVcfnn6/RwxInMHtYULjbgj8s5GsmCBEYlB0OlsCMB4gAAEYQktAJcsMQ9AO0dplSpGEK5YkWivpCErJk5MPKeOcgTlrLOC1z/ggOIWgEceKQG2r7gi3n7ssYcxph87NniarEJi4EC5X7yCijOLQPMbbQ7Kzz+b+1K9iXX95ZfF49pPAHqN8qidq30eLXfeKfeN17nsLBerVztjZbq/Nzo1+O23/td15pn5813TzDw6ouue0tTr8zINsd+jIHauGmsvkz9oRBJ6yCaoeYGm19SZmG7dmM8/31lHvfV33jnYOZ97Tur36ROsPogWCEAQltAC0H4AaiBad1mzhnmffZzbNB6VO0QGc/oCsHHj4PU1zlqyaylkjj6a+bjjxCYzTvbayxjTq1NBsTF4sFzXjz96758yxX+0JSian9UWJXqffv55cgG4bl3i+VQAqsG/XTp3dgZfdwvAGTPkx/6YY8SWzN0fRUOdJHMiUSGSD7RsKX1Rm053ZAJ7RPWtt+Q9d+8jSsx+44VOxf73v+n30y0A33kn+Huo5i1uUxwbDQe0ww7Bzqk5qZ9/Plh9EC0QgCAskQpAd5J6LZs3y8Nxu+3MNjV29wqhkW6qNA0bEwT1Pk52LYXMscfKD3Su44y5qVrVLQRzaQAAIABJREFUeMcWw/vqxZAhRkx58fvv8oMbJvxNSYlkcLA904mYH3lElpMJQK+MNscea/54uevffbcRQ+6iU4de4sFeX7tWwt6k+swrV86fe+LSS81IFpEzlzmzuRa1ebNt5Oz3w85+44fG2stUANqxNDVQeBD089P33evz+fpr2bbttsHOqc/wvn2D1QfRAgEIwhKpAPQrJSVm6tUeUSBinjo18ZzpCsDx45kvuSRY3UGD/I3bi0GoHHecpLS75pp4+7HffuazLYb31Qt1GkjHySMKggrAXr0Sj/XKI6zl9tuNGApSPvtMArTr+g03JGYp8WOPPfLnnrj8cumLTmkOHy7bV650pvPTGH6VKplj7Wu1s9/YvP66yc+sJjO2k9YffzDPn5+6n0Rib3fzzTKSqHEig0Qt0D5q/FX7z3mrViJuNadx0M9FBaDbBrCQQwIVEhCAICw5EYDMxvlCyzHHyKs75AJz+gIwKopBqJxwgkyvt2kTbz+qVzfelMXwvnoxYIBcVzpOHlHQooWxO9SYi8m+ezbJMonceKOMTAUVgPXqBfvue7Hnnma/joqpzWKXLv7BtbPBlVdK+5ra75VXZPsrrzivZf16ebXDpNj77ew3Nrp/61Zj02mHabrssmDfDyITe7JfPxMnMkjcUu2DzoBoUc/f5ctNSrugolJzp2uO77//Nnav33+f+ngQDghAEJZQAtAdpsLvR4XZxNjr0IF51SqTk3fGjMTzagaQXFMMQuWkk+S9vv76ePtRo4Zx8CmG99ULdRqI05vVLQDPP99fgHnZ/dmlWjUzGhZVsXnoIeZXX5VlHYliFrFAJJko7PzhKmzefTezafS//pI/IalsMK+5Rtp76il5HTBAtk+a5LwWjeHnJwDdGTRmz5ZRRN3/7rvGG/fCC029Sy4JLgDVTnHgQBkFtoVzqmOJ5I+Z3ecffjACUFPaEcnI4KZNzvd9xQpxJlF0FqdHD1nX7wNRcgcgEA0QgCAsoQTgeeel/gG49Vapqx7CY8bI+gknyLrXdAEEYOacfLKMtt5wQ7z9OPRQif/HLGF6rr023v5kAw30HGfuaFsAHn20fN/8BNgLL6T+vjZoEK0ALCmRKdXXX5f1HXd0pnhkNiJk7lynnfDIkSZu3rvvmuuYMEGmTZURIyR8jRs7a8rYsYn7t24VUde2rdRRm7r+/WX/5MnOa9G+aKYM9XbWsvvuzvMTOafEx48312oHgg4iALUtveeef575jDNkecMG72MmTjSj09oH/SPuJQA1o4mek0imm5nlT87Ysc5+qrOepuns1cscv2BB8usB4YEABGFJSwDOni1xyRS/VFR2ueMOqasOIm++Kes6FWV71ClLlhgbp1xSDAKwXj2xt/T6QcwltWsbz9WLLmJ+4ol4+5MNdDrOK69qrrAF4DHHmB/uTAXgaadFKwBXrUq+33YcmzrVuU9nCYhE9C1ZInFDiUyweWYzFenmjjvM8f/7n3n2KA88IPvuukte771XXtWmbcIEZ380hp+O9Km3s5bKlSXMi3oRE4lNru6fPNmMdrZoYfqhjjd+zJ9vPMpVZKkNJZGMdNps2mTS2lWvbvpCZKIvaLGngGfNEg9gIuN9ro4tREbw6fSwTkF37Srrffs6hSXILhCAICyeAvCjj7xDAahBtOL+N+lV7r5b6up0wdtvy/p//iPr7sTrcVIMAvCUU8TOp23bePtRp475rM8/30wTFRO9ezt/EONg/nynAGR2fv/s6UEdPfIq+l3WTCRu8ZNpUXEVpEyc6Fy3g8dPmyYZbnT9qqvMdelswmuvOe0xbQFof7f793dONd9/v7zq6OnTT0s9d6YVjeFXpYrsV5tAu1x8sWmHSEZldd/06SbUSs2azLvuKvU09I6i59UwPnYIrR49Ett0myCod7p9zbqsz2FbqBGJHeaMGSZcjKaOIzICVWNE6j3VtausP/CArNt/MPxiY4LogAAEYfEUgH5CqHVr53YN5kwk/2xXrTLTBFo6dZK66vSho0KnnCLrfmm04qAYBOBpp4l9VdA0Xtni6KOZ33hDls85JzGAbTHQs2d+3C/qWaqj8/b3skMHUy+ZAFTv37POkowgzDJtb9dRr093UQEWtrinn6tVM8tVqjjX1W5v+XIJfK7bNZPJ2rX+AtC9TT2ZVeA8/rjU00DfWjSGnzp76CiZV9F23COcGmrFrqeBqM8/X6atf/pJ1pcuZW7Y0Fn/0UcT23KH+9GMJlpsMadhgNwC8LvvxCFPnXPcYtwuX38tdpUPPijrXbpIu+oUpXVAdoEABGFJSwBeeKFzu/tB5rVdHw46naN2Yfqw/+KLCL8RISkGAXj66TJyoraXcXHsscyjRsly8+YSYqPYUK/RfEB/3JlNlg0i44TFbASg2xHAFoCnnmpG7bt0cdY56ihvQXD77dEIQHfRoO3JyvTpzqlitacjEkcod30N5WIXHQHUouYn7noqljTci04JJxOA9izJRRc5Q60QyTSy7biz7bYmI8cvvySeV6e77eIOpu+e6tfnNlGiF7he06GHitezjgAOG5b8fb/1Vub77pNlvV80MDqRXCfILhCAICxJBaA9taUjeOkKQJ0e0FEC9QxVA+Z587LwzciQYhCADRsyV6wo0/VxstdeZiqtadPiTBel03H5AJEIIWaTGpFIbN8U9SC1YwHqqL4KwOOPl1zczJIZhEhCChGZZ8C4cc7veDrTvFGX6dOdo1q2APQKaeMlqtT2T8stt4hwtreVLy82crq+cGHiCKGXAHSL7Y8/dq7//nuiM52GY1m0KNh7UKuW816wbfGInKJRn7thywUXOJ1sBg0SD29dnzs3yzc8gAAEoUkqAG3vRvfDzW+be7saCOs/T40Np95xX32VhW9GhnhdS6HRuLHYFrVrF28/iGT0Q/vUr1+8/ckGTzyRP/cLkXynmMXBQO9lLwGojgmHH26mG1U41aljRu07dpRtatahQssdHkWFopZmzbIr+tyCyha0diaTgw9OrO/VN3f/7almLTVqmNRrQYp+Ju4ydqwzq8pPP4mJhPuaiMSTNkhbNWo47wW1TdViC8Czz47uvdf7g0jCB6njCZG3cx+IFghAEJakAtA2qHY/3OxpBfePoL29WzfZpk4fmh2iSRNZ/+abLH07MqBlS6eXcyHSpAnzTjsZ7+u4uOUWmRpklinJF1+Mtz/ZoHv3xHs/Lr780nxfZ80y4VS8BKAKuTZtTGiTVq2MaLr/fqmvAdlV+Kit2rRpzu+4TgVqCRIeKqry0Ufhz6HerVo0d7VdTj6Z+aWXnNv0PfMqzN7bX37ZhMQiSrQJJErfAad6dRFgM2dKu2qbquXQQ83yVVdF997b4XzOPFNsR3XdK74riBYIQBAWTwF47rnyJV6yxGxL9XCzsbc/+aRsU6cPzfyh3oZBUiCB4DRrxrz99sx33hlvP+680ziiNGggP3zFhhrk5yMa1NgWgGoD+K9/yatmi5k924i4ffcVpwhm+QxtQaLnKilxTm26BaAKxVyUXXfNTTv6TAxamL23N2/uzKCioWjsYqfXS6d06iSOKu733/YiVvvCKIot+Nxl2rQc3ehlGAhAEJakAtBO52N/ud0BUPWB51VXvT/V6UP/pepUBFIGRUuLFszbbCN2WXHSoYNxQDjlFLERKjZ+/VU8IfMRtU+0vYB1BFCdI+x0gTqtW6WKcYJQL1odZVOPfmYZLS9XTrars4ja3Glg5UwLs3P9nHMSt+W6uD2i070G9/UkOzZIeC2v0qWL97k1D/ukSem9jzvumHz/7bebEDbuoqY+IHtAAIKwOASgjvjp6JztoWt/ud3Gye44VLbtiiakV89EtQ3RaSIEDI0W/QFQz7y4uOceE6y3Xj3moUPj7U9Z48kn5T7wEoD9+8uU/NKlzmNq12auVMmYbah378yZ8nrPPabuJZc4p5mJjIPFxIkS3kmfAaNHhxNPzZolbou6bL998v16jUFFXbL+Xn118nO586Z7FTtjipb77nM6ABFJRiC7T+m8j15T4Xa5+Wb5jnvtU2c/kD0gAEFYHAKQSLy31D7PTtOW7EHgjkRv1+/bV9YbNzbnZzY2hAsXZvdLUtZQYW3/8MfB/febYL1164qBOMgdmtZMPXqZTeaGV17xPubwwyUAvI7aa2DkTz81AkP573+NaGrXTl413pyGJfETQ3Z4F50+tu3r3PWbN0/cFnW55Zbk+9Xe06+oSA4iAG3bOa/iFaYnSLGdMrTYqQGVoOcrXz75/uuuM2YC7vLeeyFuXhAICEAQln8EoE7rvveeM3+lkuxBkEwAqvF/06ayrqOKGjF/0aLsf1HKEmr/Y//wx8HDD4uRPLOEABoxIt7+lDVUsNj3gX4nNVWZG/UWfeklWZ86VTxs582T7fZ09+WXmylgnfJds0ZGerdscbZnLxNJeCBd1liKb77prK9Bl1u3lpFF9zmCFrV3JBLnKK865cpJOr9k53E7gLjL3LnBBaDOsPiVIPEPq1ZN3GaH6tJy882ZC0DbW5koMYj0BReIvaKdVaVqVbEjfeedULcvCAAEIAjLPwJQH4Bvv+1MubRsmUn541X8RnZ0/4ABsq6hKTTsi4adWLw4N1+WsoKGwejcOd5+PPaYxJZjlvh0I0fG25+yRrduch/YdnvqDODnea+BnocPd25XxwEN6cTs9IBVp4UNG5zHucWQxtvTjBGzZplYenZsQWbmrVtl2TYdyEQA2jH+3IJGy777pj7/G28k3//VV8EFoHua1l322iv1ddWpk9iGlwDUKWBNX5fO+6i2g/o7YDuvEElor379nDbhffvKfeTOuwyiBwIQhOUfAahJ5MeMkWwA+oW2w70MHZr4kPDLg6r7R4+WdXUs+fZbWdfAs247JBAOFda2vVYcPP64iFFm+WEaMybe/pQ1dLrXFoBHH838+uv+x9iBnm00VqAGdWc2AaSvvdbECdSRP8UWQxs3mlE9tQn84QeTt3b8eGd9PT6sAFy3zrRRubJ3nYMOMue3R9Y0dBWRjIYma0dz/GpZudK/7jXXeOf01RJkCvjIIxPfEzvvsBZ1XlF73FTvo472EhknoBNPlON01sYuU6Y4z1lSIiOF+twH2QMCEITlHwG4bp18gUeMcP7T23Zbs+zO82s/rN1oiACN+6dTk5okXAXg8uXZ/6KUJdQT89574+3HU09JiitmjAjEgY4A2lPARxyRfGpOp0v1O6von8MLLjDbNJ7cLbcYQefG/YzYvFkcOjQd2s8/iz0ikaSI9BKAtr1iSUnq0TOv59PmzcnrHHaY1Pv0U5ket8WMn8DTcuCB4vHqTgvnTi+npVw5ib3I7LTP09KsWbAp4KOOcr7HROLE466nn9O115r38aabxNbTXXfnnZ3n1OtXAbh6tfyRs4/56afEz/r445P/0QDRAAEIwvKPAPzzT/PAdeeL1PLuuxJiJIgA1Ie8xvnTqUn1+tWRqpUrs/9FKUtcfrm8r7bBfhz07CmhfphFeLhHlUB26dNH7gPbG7xWreTG+Wrj5RWbk0jMOJRrrpFt7drJj30QAajolPKyZSbn7MSJ3gLw1Vedx6p9sm3bpmWbbbydMey+JBOKzJJazt6my34jetWrSz13aCy/bCg2Oj1dUiI2s0EErYaI8RKANWok1p8xwzzXbZYsSaxboULi50YkTlw2mi+YyESOIDJCGk5fuQECEITlHwGoHnyDBjlTK9ll4sTEf45+aN7MP/6QdR3x+/lnWdeRqlWrsv9FKUtccYW8r5rNIS769BHHH2b5YXj33Xj7U9bQtFzt25ttNWsmD89xxBFyzG+/Je4jMqnmmE34jw4djIjzOsZr+/ffy/ZffzXicfJk46ShdOpkRssUzWXLnJgxY889ne1mIgDnzHFu0z+8apPoLgcckNhG5crGnjKZANRg3cwSezGIANSsHkcfLce98ILZ5zVy+Pffie8/s4hvIub99zd199hD9k2ebEbs+/WT3MQ2FSuaY5YtM9e+//6yjLBPuQECEITlHwGo9jmDBjk95+wyZUpicFA/PvnE/LtlNgJQPfpUqLhjCIJwXHmlvK9xByju398IhkMOYf7gg3j7U9ZYv17MN267zWzT6Uo/NHeunQNcIRLbYEWDSd97r0QB0Iw/7mO8nhEaL/CPP5hHjZLlqVNNWJlknHaaqeO2yzv0UGe7fgLwwgsTBZfyxReyrk5Udp9UuNpFRQ+zjJwSOXPvJhOAa9aYOKlqs+lX1AmlVi2ZoenZU46bPdvUqVIl8Tg/G20VgLa9YdWqyd97pVIlc8yKFeb9rVRJlk88UWwcQXaBAARh+UcA6kN50CDvJOpEMj0SVAAyOz181YBYHxgaDNUrhAzIHH1fNZ1XXLz8sniTM8v9hMCwueeuu2SqVNl//+QpunQ0aOvWxH1EzqnAG2+UbQ8/7H++m27yH4nWZ4MKm+nTzWhbMurXN3Xcdndq55ZKAGpWGo3HZ4tiDWny5Zeyvssu5jy6z061pg4kzMbspWFDs/+BB8w0bLJrU5tN/WNsp2/T495/PzFzksZoVAGWTHDaqAC0RaM9mpkMux3NP00kcQN1OdXnCMIDAQjC8o8A/Pln+dIOGODvLTd7dvApYDdqA6hTwjqCsHFjdr4cZRX1+rNDdsTB4MFmxCjVyBPIDh07ShgQpWpVESN+qOjwgsik9mM2sf+6dw/Xx7ffNoIryDNFxZWiI2d//mnC0EybJh7N227r7L+WF17wP/+KFVJHA9Zr6Bhm/ucZaffVzmS0apU8Oy+7zOxX7/dU16aBuzUszr//Hew5qyOWRKav+qxNdtzy5bL/gw/kjwKR2BAGwRaAOkU/axbz118Hu1YQDRCAICz/CMARI+RL27u3/BO3DX21fPaZM2WSbROUCg0ns3atrOsPiJ+NCsiMNm3kfdV8rnHxyisSRoNZRpbcnqUg+9jp+JglvpymYvQi2Q/3X385v6uaOePpp8P1UadxVVylEg7LljnvJR05c7N5s3Mqm0icXA47LHn6SfV4nj5d1nff3ZxfZ0k01WXlyt7nsPMGqzdsqmtT72P1ilZbv1TH2fEHNXOH7anrR0mJTL+XlBgRrk4cqbAF4Lp1ifshAHMDBCAIyz8C0BZ1RGI75BaA8+Y5BWA66LSJ/kvXPKN+NiogM3Rq7tFH4+3H8OEmfMS++5ofVJA77HR8zCJmdGTLi3S+1/p86N07XB/Vhu3PP8VpqFat9I7XkbNUEMmoYCrUm1enWnWKlNnEMVRbwN139z6H2uESiYOMtp+qnxs38j9/xG1nlGTH2XH7NHdvEAFo8+67UldjC6bCFoDu4N/MEIC5AgIQhKUCEfGff652PGxUmGksPw1RMH++Mwl5Opx/vnPET3NIgmjRkdVu3eLtx6hRMo3FzLz33s680iA3PPSQ2JQpFSsa2zYv0vlea/5fTfWYKX/9JUHi1e4w3T+ETzwRXABq9oxU2H3QwNDMJhRMKgFoP0c1/MoZZ0hJhYo3dShJ9ZksXGjqqHlOugJQvamPPTZYfVsAbt6cuB8CMDdAAIKwVCAi/u23RAHIbIykdVri++8zF4A6AqgPV01cDqJFp+bC2maFZexYE6pizz2TTz2C7PDooxJuSSlf3thpeZHO91r/HA4cGK6PYdG0cql45pnMzBDUMYbZCECNY6hhU9xorD4isYVNB82JvHixvJ53XupjtC11orHT1gVh8mSpqyP2qbDDwPg5DOHZnn0gAEFYKhARL1/uLQBVpI0cKa8LFjgzg6SD2gAqGgQVRItOzT3xRLz9GDdO4soxp556BNmhe3fxvld23NFk4vEine91hw5Sd8iQcH0My9atJr94NjjoIPOeqH2geh9r3EE3kybJ/nbtZGo7HYYPl2NXr2ZetMg4zSXD/exOVwBOmyZ169cPVt8WgMn6A7ILBCAISwUi4iVLvAVg586yrCngFiyQVEZRCMAHH8RDIhvo1JxXXLZc8t57xqi8YkXxVgS5pUcPk75N8/kmc4AgcnrOJuO++6R+sQf81dE8N0RiH+jF0qXO2Y50eO659J+L7me3Cjo7DWAyNHuKhm1KhT0FnKw/ILtAAIKwVCAiXrjQKQAHDJAbrEsXWX/nnfACUEMTKBqIFUSLTs3FHYh14kT58WRm3nXX7I7SAG+eeUbs65iZTzlF7otkqReJxMkrCF27Om3cipXDDktfAIZh9WoTpzAo9rNbPe+XL/e2z/NCg/Y3bhysfqoRwIceYj7zzGDnApkDAQjCUoGImMgpADVhvP7L//RTmeopKXHmAk4HDQStdO8OAZgNNKZX2PAcYZk8WeL/MYt34rffxtufskivXszNm8tyvXqpR6WIZJo4COp8Uew5XwcPlrzlbogkrE4+0LKlST136aXpH//553Ks3iupSCUAn3vO5AEH2QMCEITFUwBq3ladprWn7zIVgOoFrNh5MEF0/O9/8r4+80y8/Zg2TXKTMot3ojuDAcg+zz/P3KSJLD/+uIzeJ4NI8vEGoWdPqa9hTsoaRCb1XD6gkRouvzz9YzWWYBCHE2YIwHwBAhCExSEANdH6++/LDaYPFXv6Tr/4ycJJeNGihfOBoaEHQLSo447mCo2LmTMlswSzeI4nsz0D2aF/f8mcwSwC8KKLktcnktHaIPTtK/VHjAjXx0Lliy/E1i9fePRR+Txat07/WA0507JlsPpBBGCLFun3A6QHBCAIi0MAahDhCRPkBlM7vfnzzU2XqYHvWWclHocg0NFzzz3yPj/3XLz9+OQT4yW5zTbihAByi52P2R0Sxgsik881FRp+RTNdgHjRgNhXX53+sT/8IMdedlmw+qkEYK9eEIC5AAIQhMUhADWG3KRJcoNpns0FC8xNl6kAPP10jPjlAg2v06tXvP34/HNJlbVli/Tnl1/i7U9ZZNAgcf5gFnOOVKNDRJICMggaG3TkyFBdBBHRo4d8Hnbqv6AsWiTH2lljkqEC0C8Vnm17CrIHBCAIi0MAanq2yZPlBtN/lfboTaYCsHdviakFssv998vn06dPvP346isRE+vXp/Y+BdnBzsfcpQvzNdckr0/EXKFCsHMPGyb1R48O10cQDc88I5/HDTekf6yGrbn22mD1VQD60bs3BGAugAAEYflHAHbtatKzffSR3GDqBbx4sbnpEOMpv1HHneefj7cf8+eLPdmff0p/Vq+Otz9lkWHDTHaHDh1SiwMi+XEPguasHTMmXB9BNGj8wLZt0z9WcxwHHT2EAMwPIABBWP4RgOvXm+j+06bJDaZR8JcsMTcdBGB+o447/frF248FCySmnKbP8koaD7LLyJHMxx0ny+3bi4lHMpJN63mdm0iCxIP46dNHPo9bb03/WM1sEqUAbNYs/X6A9IAABGH5RwBu3mwyf0yfLjfYSSfJ+tq15qbThOMgP1HHnf794+3HTz+J84dOL23ZEm9/yiJjxjAfc4ws33Yb8x13JK9P5J/f1s3o0VL/zTfD9RFEQ//+/I8ZT7qsWxftFHCfPhCAuQACEITlHwG4dauZ8p05U26wxYuNGFQuvFBSAYH8RB13Xnwx3n4sWSL9+OGH4OnFQLS89RbzkUfK8k03SYzIZNx+u3gOB0Hzzb71Vqgugoh46SX5PNq3T//YzZvT8yCGAMwPIABBWP4RgMySwoeIefZs/5tuy5bgKYZA7tEMKy+9FG8/li+XfsybFzy2HIiWd94x+Zivu05CBEXFW2/J5ztuXHTnBJkzcKB8Hnffnf6xJSWZeQH70acPc9Om6fcDpAcEIAiLQwDq9OEnn8R8Z4OMefJJ+QyDjuRki99+k37MmhXcsQBEy/vvy2fw+efMV14pHuJRMW6cM20kiJchQ+Tz6Ngxs+PTCSKdSgA+/zwEYC6AAARhcQhAdSCYOzfmOxtkjKbYGzgw3n6o9++ECfmTM7WsMXGiCdVy2WXMXbtGd+7x451pI0G8vPqqfB6ZjvISMV9xRbC6QQSgpiAE2QMCEITFIQDr1DEjBqAw0XhggwbF24+1a6Ufr77KXLt2vH0pq6gAHDmS+eKLxTwgKt57T8793nvRnRNkjoblue++zI4nYm7VKljdVAKwb18IwFwAAQjC4hCANWtmlucX5A89e8pnOGRIvP3YsEH68dRTzPXrx9uXsopOAQ8fznz++fJZRMUHHzjzhoN4GTVKPo8HH8zseCKJAxuEChUgAPMBCEAQFocAPPBA+WJ/9VXMdzbImF695DMcOjTefvz9t/Tj/vslDzTIPe+8Y0ZhW7SINj/0pEnOvOEgXtQrO9Np/kGDxGwjCEEEIL7z2QcCEITFIQBr15Yv9tdfx3xng4zRgLCvvBJvP9SzsHNnhISIC/XUHTJEfpCjzA4zebKce+LE6M4JMkc/60cfzX5bqaaA+/WDAMwFEIAgLA4BOHeuCd0BCpO+feUzfO21uHsi8f/uvFNGn0Du0VGhIUOYzzwz2tiQH30k5/7ww+jOCTJHR3ujtPP0I9UIIARgboAALJs8R0QTS5dbE9FMIvqIiAYR0fal25sQ0QwimkxEY4moos+5HALw99/li/3ZZzHf2SBjNCPAsGFx94R5xx0l/dg558Tdk7KJpmsbPJj51FOjdQyaNk3OPXlydOcEmaNOOU8+mf22ggjAxo2z34+yDgRg2eNMElE3kYiqEdHPRFSpdN+LRHQ7Ee1IREuJqHrp9i5E9IzP+RwCUD0358yJ+c4GGfPii/IZjhgRd0+Yd9tNAhCfd17cPSmbaCzGAQOYTz5ZbAGjYvp0OfeUKdGdE2SOenw//XT220olAPv3hwDMBRCAZYuKRDSHiP5NRJNIRv8GWfvPJKIPiOhUIppiba9JRAt8zlmBiHj8eBGAmzbJF3vGjJjvbJAxAwbIZ/j663H3hHn33SW22IUXxt2TsssZZ0hWmGOOkdzAUTFzptxnU6dGd06QOWqT2bNn9tsKIgAbNcp+P8o6EIBli4Gg4HziAAAXBUlEQVREdDbJyN4kIupARN2t/UcQ0bdEdAkRDbe2lyeiDT7nrEBEPHGiCEA13P/ii5jvbJAxgwaZ2G9xs88+zC1bSgHx0KgR8wsvMB9wQLSjdXPmyH02bVp05wSZM3WqfB69e2e/rVQC8IUXIABzAQRg2eF8EgFIRHQgiQDsSE4BWIeIvqZEAfj/9u48SKry3OP4D0NIBEVvmcRcjcENA64xLrgTNVZckhhN9BJjXCIql7HQiRshuHC5QIJLtChDSBARRWAkyCIwiCKrCAgi1w2XqCA3RqNX1KAxhe/94+kJ7ThwTvH2Oe+Z834/VV3MtGPPU/N2n/Od091ntpO0YTO321GSW7hw/b/uVC+9FPAeDW9NfxLqgQdCT+Lcbrs594MfONejR+hJ4nXyyfaarO23r+2bu1assPvZ4sW1u01svaan5EeMyP57EYDFQADGY7zs6d/HJK2QtF7SPyXdW/U1p0hqlHS0pEVV13eVHRlsSUdJ7pxz6lx9fb2rr693jY2Noe/X8HDffbZxruXTfVtrzz1tR3DOOaEnidepp9qpgbbZxrk//7l2t7tyJS8XKZKlS209Ro7M/nulCcCTTsp+jhg1Njb+a19dV1dHAEaok+xNIF+R9KqknSrXj5V0qeydwK/JXvsnSYMl/Xozt9VRknvqqfXJ9zy0CuPH28Z56tTQkzjXpYu9+zTtn5hC7X3ve3YCaMm5NWtqd7urVtltLllSu9vE1ms6IjtqVPbfKykA77yTAMwDRwDj1BSAkj3du1R2GpjfS9qmcv3xkhbL3jHcIHsdYEs6SnLPP08AlkVDg22cp00LPYlzBxzgXLduzp1/fuhJ4nX66fbOUMm5detqd7tPP223uWxZ7W4TW++pp2w97r47++9FABYDAQhfHSW5V14hAMti4kTbOE+fHnoS5w45xLmDDnLuwgtDTxKvM85w7qab7D7xxhu1u93nnuOUUUXSFOR5/A3wNAH4ne9kP0fsCED46ijJrVtHAJZF0x+FnzEj9CR29K9LF+cuuij0JPH60Y+cGzzY7hNvvVW721292m5zxYra3Sa2XlOQ1/Jcj5uTFICjRhGAeSAA4aujJPe3vxGAZTF5sm2cZ84MPYlzRx7pXOfOzl1ySehJ4nX22c7deKPdJ955p3a3++qrdptPPlm728TWe+EFW4+Ghuy/V5oAPPHE7OeIHQEIXx0luXffJQDLYto02zjPmhV6EueOPtq5PfZwrlev0JPEq0cP5371K7tPrK/hw/zNN3kXcJG8/HJ+5/9MCsC77iIA80AAwldHSW59LfcMCGr6dNs4P/RQ6EmcO/ZY5772Ned69w49SbzOOce5a66x+8QHH9Tudj/4wG5z7tza3Sa2XtMR2TxO/0QAFgMBCF8EYMnMnGkb54cfDj2JnQLmq1917rLLQk8Sr3PPde6KK+w+8eGHtbvdjRuL81IDOPf667YeU6Zk/73SBOAJJ2Q/R+wIQPgiAEtm1izbOD/ySOhJnDv+eOe+9CXnLr889CTxOv98OwIrOffPf9b2totyuiE495e/5HcEcPvttxyAo0cTgHkgAOGLACyZ2bNt4zxnTuhJ7GmgHXd0rr4+9CTxuvBC5y6+2O4Tn3xS29ueMqX2UYmt0/SaTAIwHgQgfBGAJfPII8V5bdZJJznXoYNzV14ZepJ4XXSRcxdc4FybNqEnQZbefrs4rwEcPdqO/iNbBCB8EYAl8+ijtnGeNy/0JM5997vOfeELzl19dehJ4nXxxfZGkLZtQ0+CLL37bnGOAN59NwGYBwIQvgjAkpk3zzbOCxaEnsS5U05x7nOfc65v39CTxKtXL+fOOstCHOX1/vvFCsBvfzv7OWJHAMIXAVgyCxbYxnnhwtCTOHfaaTZLv36hJ4lX797O/fCHzrVvH3oSZGnDhuIE4JgxBGAeCED4IgBL5rHHbOO8aFHoSZz7/vdtlv79Q08Sr8suc+7UU22njfL6xz/ssfbAA9l/LwKwGAhA+CIAS+bxx23jvHhx6EmcO/10m+X660NPEq8+fezNODvuGHoSZKnpvIxFCcDu3bOfI3YEIHwRgCWzdGlx/kTXGWfYLAMGhJ4kXvX1djRmp51CT4KsSc5NmpT990kKwHvuIQDzQADCFwFYMk88YRvnJUtCT+LcmWfaLAMHhp4kXlde6dxRRzm3886hJ0HWCMC4EIDwRQCWzIoVtnFevjz0JM79+Mc2y6BBoSeJ19VXO3fooc7tskvoSZC1IgXgccdlP0fsCED4IgBLZuVK2zivWhV6EufOPttmGTIk9CTxuvZa5w46yLnddgs9CbImOdfYmP33SQrAe+8lAPNAAMIXAVgyq1bZxvnZZ0NP4lyPHjbL0KGhJ4lXv37O7buvc7vvHnoSZG3Zstr/ub+WpAnAY4/Nfo7YEYDwRQCWzNNP28b5xRdDT2J/gUJy7uabQ08Sr/79nevc2bm99go9CcoiKQDHjiUA80AAwhcBWDLPPWcb51deCT2Jc+eea7PcemvoSeJ1/fXOderk3D77hJ4EZUEAFgMBCF8EYMk0BeDrr4eexLnzzrNZbr899CTxGjDA3gDStWvoSVAWaQLwmGPymydWBCB8EYAl88wztnF+443Qkzh3wQU2y7BhoSeJ18CBzn35y87tv3/oSVAWSQF4330EYB4IQPgiAEum6U0gb78dehLnfv5zm+WOO0JPEq9Bg5zbYQd7JzBQCwRgMRCA8EUAlkzTaWCKsKQ9e9osw4eHniReQ4Y4t+22zh1ySOhJUBbbbZccgEcfnd88sSIA4YsALJnly23jvGFD6Emcu+QSm+UPfwg9SbyGDnWubVvnDj889CQoi6QAHDeOAMwDAQhfBGDJLFtmG+ePPw49iXO9etksI0eGniReN99sa3DkkaEnQVkkPQU8bpz9+UFkiwCELwKwZD76yP7+ax4nhE3Su7ftKEaNCj1JvG691daA12ShVpKOAI4fTwDmgQCELwIQmbnsMttRjB4depJ43XabrUH37qEnQVkQgMVAAMIXAYjM9OljO4p77gk9SbyGDbM1OOGE0JOgLJKeAh4/npcc5IEAhC8CEJm54grbUYwdG3qSeN1xh63BSSeFngRlkXQEcMIEAjAPBCB8EYDIzC9+YTuKceNCTxKv4cNtDU4+OfQkKAsCsBgIQPgiAJGZq66yHcWECaEnideIEbYGp50WehKURZoAPOKI/OaJFQEIXwQgMnPNNbajmDgx9CTxGjnS1uD000NPgrJICsCGBgIwDwQgfBGAyEzfvrajmDQp9CTxGjXK1uDMM0NPgrJIE4DduuU3T6wIQPgiAJGZfv1sRzF5cuhJ4jV6tK3BWWeFngRlkRSA999PAOaBAIQvAhCZ6d/fdhRTp4aeJF5jxtga9OgRehKUBQFYDAQgfBGAyMx119mOYvr00JPEa+xYW4Of/jT0JCiLNAHI357OHgEIXwQgMnPDDbajmDkz9CTxGjfO1uC880JPgrJICsCJEwnAPBCA8EUAIjMDBtiOYtas0JPEa8IEW4MLLww9CcqCACwGAhC+CEBkZuBA21HMnh16knjdf7+tQc+eoSdBWaQJwMMOy2+eWBGA8EUAIjODBtmOYs6c0JPEa9IkW4NLLw09CcoiKQD/9CcCMA8EIHwRgMjMkCG2o5g7N/Qk8Zo82dagri70JCiLDh2SA/DQQ/ObJ1YEIHwRgMjMb35jO4r580NPEq+pU20N+vQJPQnKIikAJ00iAPNAAMIXAYjM3HST7SgWLgw9SbymT7c1qK8PPQnKIukpYAIwHwQgfBGAyMwtt9iOYvHi0JPEa+ZMW4Orrgo9CcoizRHAQw7Jb55YEYDwRQAiM7/9re0oliwJPUm8Zs2yNbj22tCToCySAvCBBwjAPBCA8EUAIjO33247imXLQk8Sr9mzbQ369Qs9Ccoi6SlgAjAfBCB8EYDIzLBhtqNYvjz0JPGaM8fW4LrrQk+CskhzBPBb38pvnlgRgPBFACIzd9xhO4qVK0NPEq+5c20Nbrwx9CQoi6QAnDyZAMwDAQhfBCAyM3y47ShWrQo9Sbzmz7c1GDgw9CQoizQBePDB+c0TKwIQvghAZGbECNtRPP106EnitXChrcHgwaEnQVkkBeCUKQRgHghA+CIAkZk//tF2FM8+G3qSeC1ebGswdGjoSVAWBGAxEIDwRQAiM3ffbTuK1atDTxKvJUtsDW65JfQkKIs0AfjNb+Y3T6wIQPgiAJGZGTNsR/Hii6EnideyZbYGt90WehKURVIATp1KAOaBAIQvAhCZefJJ21G89FLoSeK1fLmtwbBhoSdBWbRvTwAWAQEYn76Slkp6TNIYSW0lnSLpcUnzJE2VtEPlaw+VtFDSXEkPS/p6C7dHACIzH31kO4o1a0JPEq+VK20Nfve70JOgLNIE4EEH5TdPrAjAuBwlaaWkbSqf3y+pt6R1kjpVrrtO0m2Vj5+RdGTl459JmtLCbRKAyNTGjaEniNuqVbazHjEi9CQoi6SngKdNIwDzQADGpY2kDlWfD5d0jaT5VdftLelFWRCuqbq+naS/a1M8NiEAgRJ75hnbWY8cGXoSlEXSEcBp05w78MD85okVARivvWWB11dSQ9X1HSR9KOkI2VPF1d6UtHOz6whAoMRWr7ad9V13hZ4EZZEUgA8+SADmgQCM04Gyo3wnSvqJPh2A20naIAvAZc3+v79J+kqz6whAoMReftl21mPGhJ4EZZH0FDABmA8CMD4HS1ot6bDK58dIWlT137tKel7SrrLXBjZpL+l92dPI1TpKcnV1da6+vt7V19e7xsbG0PdrADXy2mu2sx47NvQkKIs0RwAPOCC/eWLS2Nj4r311XV0dARiR9rK426/qus9Lek32lLAkDZY0pPLxCknHVT6+VNL4Fm6TI4BAia1bZzvr++4LPQnKIikAp08nAPPAEcC49JT0lqQ5kh6t/PtLScdLWiw7DUyDNr1R5EBJCyrXz9BnX/8nEYBAqf31r7azHj8+9CQoCwKwGAhA+CIAgRJ75x3bWTc0hJ4EZZEmAPffP795YkUAwhcBCJTYe+/ZznrixNCToCySAnDGDAIwDwQgfBGAQIlt2GA760mTQk+CskgTgPvtl988sSIA4YsABErs449tZz15cuhJUBZJAThzJgGYBwIQvghAoMQ2brSd9dSpoSdBWRCAxUAAwhcBCJScZOdmA2ohTQDuu29+88SKAIQvAhAoOcm5FStCT4GySArAxkYCMA8EIHwRgEDJvfde6AlQJgRgMRCA8EUAAgBSSxOAXbvmN0+sCED4IgABAKklBeCsWQRgHghA+CIAAQCppQnALl3ymydWBCB8EYAAgNSSAvChhwjAPBCA8EUAAgBS23ZbArAICED4IgABAKmlCcBvfCO/eWJFAMIXAQgASC3pKeDZswnAPBCA8EUAAgBSSzoCSADmgwCELwIQAJBamgDcZ5/85okVAQhfBCAAILWkAHz4YQIwDwQgfBGAAIDU0gRg5875zRMrAhC+CEAAQGpJAfjIIwRgHghA+CIAAQCpEYDFQADCFwEIAEitXbvkANx77/zmiRUBCF8EIAAgtbZttxyAc+YQgHkgAOGLAAQApNamDQFYBAQgfBGAAIDUpOQA3Guv/OaJFQEIXwQgACC1pAB89FECMA8EIHwRgACA1NIE4J575jZOtAhA+CIAAQCpJQXg3LkEYB4IQPgiAAEAqRGAxUAAwhcBCABILU0A7rFHfvPEigCELwIQAJBaUgDOm0cA5oEAhC8CEACQGgFYDAQgfBGAAIDU0gTg7rvnN0+sCED4IgABAKklBeD8+QRgHghA+CIAAQCppQnATp1yGydaBCB8EYAAgNSSAnDBAgIwDwQgfBGAAIDU0gSg5Fzv3s5162YfjxuX33yxIADhiwAEAKTWp49zV165+f++aNGmSKy+vPdefjPGgACELwIQAFAzn3xiJ4M+7DALvy9+0f7duDH0ZOVCAMIXAQgAyMT69XZ58MHQk5QPAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAQhfBCAAAK0MAYgkfSUtkbRI0m9b+O8EIAAArQwBiC05TNJKSe0ktZH0kKQfNvsaArBAGhsbQ4+ACtaiWFiP4mAtioEAxJbcIOm/qj7vKemPzb6GACyQ+vr60COggrUoFtajOFiLYiAAsSUjJPWu+vw0STObfQ0BWCBsWIuDtSgW1qM4WItiIACxJc0D8HuSZjT7mo6S3Nq1a9369eu5BL7U1dUFn4ELa1HEC+tRnAtrUYzL2rVrCUBsVn9J/131+X9K+n2zr9lVdgfiwoULFy5cuLS+y64CmvmmpP+R9EVJbSXNk3Rys69pI7vzdOTChQsXLly4tKrLrrL9OPAZl8tOA/OYpAGBZwEAAAAAAACQp6STRKO2ukv6P0lzJD1a+bezpPNl67BA0hhJn698/SmSHpc9dT9V0g45z1tWO0gaL+kvVddt7md9qKSFkuZKeljS1yvX7yFbv/mydTs466FLqqW1+ESffoycVbmetchWX0lLZc8WjZG9bIjHRRjN1+Lz4nGBGkpzkmjUVnfZA7LarpLWSNqx8vmdkq6Q9AVJ6yR1qlx/naTbc5gxBjMkXSLpfyuft/Szvq3y8TOSjqx8/DNJUyofT5fUo/LxsZKeynDeMmu+FpK0cTNfy1pk5yjZ/mCbyuf3y84gweMify2txc/F4wI1dIOSTxKN2mopAM+X/YbX5Duy3+K6y35za7K3pJcynS4e28t2ak3R0dLP+sXK16ypur6dpA9kR0Y2aNORWklaK96JtzWar4VkRzqaYy2y1UZSh6rPh0u6RjwuQtjcWrQUgKwFtkqak0SjtrpLeln2G90iSb+W/VY9tOpr9pP0vOw3t4aq6ztI+jCfMaNQHR0/Ucs/6yNkT8NUe1PSLpV/qy2T1K32Y0ahpQC8UxYf90raWXaEg7XIx96yqOgrHhehNa3F18XjAjWU5iTRqK1dJJ0r++2snaRGSf306QDcX9Kz+mwAbif7jQ61saUAbPpZHyHbaFZ7S9K/V/6t9oSkw2s/ZhSaB2AvSTtVPr5RtjYt7ehYi9o7UHaU70TxuAitei0kHheooTQniUa2esue1r236rpTZGF4tOwoYZOusiODqI3q6DhGLf+sd5W9BqpJe0nvy+L975V/m7wh6atZDVtyzQOw2r6SXhBrkYeDJa2WvT5c4nERUvO1aI7HBbykOUk0autnkgZVPm4j6U+SfinpVW36zW6spEtlr914TfYUgCQNlj1ljNrYXZveedpOn/1ZD6l8vELScZWPL5W9Y1WSJslevylJ35W9UxJbZ3dtWot9JT0o2yZJdh7TCZWPWYvstJfF3X5V17W0DeJxkb2W1qKreFygxjhJdL46yA7bL5L9zIdJ+pyk/5Adxl8gOwrb9O6v4yUtlsV5gz79wmBsnX+TnUbhMUkfyd6Uc7s2/7M+ULYu82Qvkdi5cv3XJM2WvR5njqQu+YxfKptbixskLa/8t2myp7Mk1iJLPWVPGVafZuSX4nERwubWgscFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACBX/w/ufFKRCfDvPwAAAABJRU5ErkJggg==\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(squeeze=True)\n",
    "ax.plot(test_dat[1774,:])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "77"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_dat[1,4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 72,  77,  75,  74,  77,  76,  74,  74,  75,  72,  73,  69,  74,\n",
       "         74,  76,  72,  71,  75,  73,  73],\n",
       "       [ 74,  77,  73,  77,  77,  73,  74,  74,  73,  76,  72,  73,  74,\n",
       "         74,  76,  73,  75,  74,  74,  75],\n",
       "       [ 74,  70,  71,  72,  78,  75,  78,  74,  73,  72,  74,  73,  77,\n",
       "         73,  73,  76,  75,  76,  72,  73],\n",
       "       [ 77,  73,  71,  70,  72,  71,  75,  74,  76,  75,  76,  73,  72,\n",
       "         73,  74,  74,  74,  73,  74,  73],\n",
       "       [ 72,  75,  73,  74,  74,  76,  78,  75,  74,  71,  73,  75,  77,\n",
       "         76,  77,  78,  76,  76,  76,  75],\n",
       "       [ 72,  77,  77,  74,  78,  83,  83,  78,  78,  72,  73,  75,  71,\n",
       "         71,  76,  74,  72,  72,  76,  73],\n",
       "       [ 74,  76,  73,  82,  94, 104, 106,  91,  73,  76,  71,  71,  74,\n",
       "         73,  75,  74,  77,  73,  74,  75],\n",
       "       [ 75,  78,  75,  92, 121, 124, 121, 104,  75,  77,  78,  74,  74,\n",
       "         75,  77,  69,  73,  76,  80,  76],\n",
       "       [ 71,  75,  84, 102, 125, 123, 129,  96,  76,  76,  76,  75,  75,\n",
       "         74,  77,  79,  74,  73,  76,  78],\n",
       "       [ 77,  78,  77,  93, 112, 117, 100,  79,  75,  72,  76,  78,  71,\n",
       "         74,  71,  73,  74,  77,  74,  75]], dtype=uint16)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_dat[0:10, 0:20]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "change a value -  this does not overwrite the file on disk - use hdulist.writeto() with clobber = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_dat[1,4] = 9999"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9999"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_dat[1,4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_dat[0:1000,0:500] = 9999"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999],\n",
       "       [9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999],\n",
       "       [9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999],\n",
       "       [9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999],\n",
       "       [9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999],\n",
       "       [9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999],\n",
       "       [9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999],\n",
       "       [9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999],\n",
       "       [9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999],\n",
       "       [9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999, 9999]], dtype=uint16)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_dat[0:10, 0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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7hEFHAgEAoHWwhwngGU/+J7MGLHStCeenKmSVWWRANr67Zd7TeuiZEpz1KnZ2NqOszz1iqphZYEWqspZHUtH48mNjafpUWzcUffMEjAbKVrKgpwp0VTlTZ97hc++g6ac8QTQklV7Eqft1adS/QarvJJMVlgEwqgyqhHMStB13fUbBQEMBAKBQGvhBUAAvblVI0F1L1yvfGl9JVx9BNZJmSYj7pb2ak5V0qJ+gX25rZIST3yUtGhU7z/2Duq3p9dKGlVpG5R2A27sqmtvxEt3GFFCWGY2137Uz08Jms7NE3Q1Easq6RXTqju0rI/JlNvvnis59GPbuJEGJhAIBAKthTlOAFXFUX8xU79McdLo1B73XJUqTSmixKZM/ep2Y5eZVH10sEbxWpu6PFfiqCZPVSM1KMNf97m2Rp7qUt4v1/YuntAqeVQ/RzWbqn+kX1tV7rS9N9uW3ft3rjCRVv9+VSaibqqn+iyOMPkGer9O3fqvykKNfJQIAhgIBAKBFsILgACqQqSkQf3ZlDwoQVTFyyuDSnhqrp6qX2VEUpVIbavEUH35lPSUkVnzIexhM3lcInU18lmJsfdL1Dbe907V07I0MapO2nv0snn91cyqpFVVx7obV9fZm4/VxF9392ritUCVMgJt77VV1kHNxGECDgQCgUBrYY4TQPVRU+KnKpWSnQqbyZv347NnPpG09xX0pljts7ekzJNFJTfajwWBPM4iGMITQj9fK7e8eUo0jYjVeeV8K2zOtac5+VTtLDOZ+khmNUMrmay6el5ZLVsnS0rtVUNvYlbT+nk2E0+f2sbm2M/mNTCTeBDAQCAQCLQW5jgB7HWH/vgb6bB8fmpyrUqbimvfV3Kt6mDvVc5e+dPgA82n5xU6be9NvWV+c6oA+jErbE40re9WuUpbH8jhiZyRMV0Lex8limUR0KpK2vt7pbKPRcSxPV/MZvLrVdhhArty2TICG2R+q4j2S2wmgGo6rks/NpfwAQwEAoFAa2GOE0BvqrQoVCVZGnlaY/OOGUpcvA+bqol9bCZnvo337aswRRJXXRslMUp8et14PSVj1mUcJY767jX33BMy79NYRi7LSLBuFaeRvhq9q+RbyZWS8T5XxyuF+j19oIuabfsJrM/3a5gIoQWePEfgAguTuX3zcelfTdFVhgIYCAQCgVbD3CaAN14m5l0mcInARQITBI4ROErgeQJ78rGDaf/XjQTWMiUD3si0I8TqTA6WMwUPDOb7caZdIsYz4RhhMhdqVPCAO4xYjeTzUK6vUbh16WdYxlRSUpP+NMCh6sYalP4H5N7aj7PYPWMgz8fGGmZKDTOUn43l+xF57xXSdmkuG2Gxs8ZyJgK2ksBmAk/m89Z87CdwkMBJAseZTLWX0tFxmWi/TNx0mbihQbxkinhoinj5DPGKGeJ9JH6YxGtIvInE20i8PZf9W6bn7ybxEyTeTOKdJN5P4i0kfoDEK0i8jMQdJG7O9wtIdF0kuo4T7UeItp1E2x7GXsCBQCAQaDXMbQL4j6p+qtSpGVT92KzMFK1+KbuaGVZ9zSquTBVBVQN9YIQqc0bmzO/Q+9mpibun5FrVQA3iUAVOgyrUJFthc9oU3Yau5vpXE7Y34fp1t/dSxdCbxzUopGzdrmaON4JqbWfdGpS5BXg11Ps6hgk4EAgEAq2FFwgB1EAHHzSgufX6XR0lI0vYTEb887KghV6mQIoe16eSDTXTep/BHhaBGNZvLwsiqmOr/19fbucDXMqIqhEtH3yi5Ei3utPADvUl1KAVf29jKXkrM+faGFq/WjJOn2unUcJPMCmLNaY0MLtlLvWsCOtaVN2Yvs8KgwAGAoFAoNUwxwmgKkp9LHaz0LINbDahatCCJ2jq5+YjUatST33grkZWtE8lVkrKNK2LpkHx42pQiapqi6W8LH2MBYWYH58qoxqkoeMoUVNFse7aaHBNmR9lWaoWJZWqNmofRtTMTK4k08zqz+b2a1iYzPuYzM7npX/rayj3sZjFfxR0XcMHMBAIBAKthTlOAO0H3MjEE0IqjLhsymef/87IhpEuHxVsZMOrbKqceZKjCp+WKen00bVKgupsnoMe3WzOg2fzt/fS6FpvRu1mIj+qzPmADSNR5vPXK2Xe9LvEPVPFTQM8NOrY/B/LzOpG2Oy5ttGjN38TqzfKgtD15Ge+fg+biaInq2ECDgQCgUDrYY4TQO975qNaLWBDVTevRnkC46ODjbT1s1m5U6JY5runZlQlnb3Sh5pUVVFTtVBVy27pT/upub7V5Fsv6avm6uozNX1bvQE2K5VG/PrdWOrnpzn3Bti81rZG/a6d9Wl+id6UPcCU9iW/T9s5WTPt26uJlZJjiTwPBTAQCAQCrYU5TgDVfGkpPTzhUiJj26BpMICRpBVS5vPGLZF6mo5EVT8N+DBlThUv9d9TFa7myvSdNCWMqoI29qDUK1PO+lkkeNZoYk0towqfkqg6C1/EOpvJrBI1b9pVJVEVU28i9zkJlUzrO6vJeIgpatsCdlaxmcAOyxr5tfJkUk3TQQADgUAg0Fp4ARBANUl6s66Zfz0B9GbSClN6GDN9mrlV1UU1FVdc+z5X1xSoATYriUaOetxZA098fYsQ1j2NVb0y8mv75arPnvm/qQLXzSL/oPU5lNuN5/vxPJchNhMyNWnrepv52kinEi9VXdXfcjGbSXq3G8eTQPNjXJv7t3Q29v2HmEzCPdKXX2e79mQ0CGAgEAgEWgtznACqP9xTvMLEOH9WiI8SCfW/U/OwqVb9BA6zWV1SFc7InapiFoSi6t04m+bz3b7K+vTm3JobR03YOndTxwbkbHn9aiyIUh+TQlZl2mrOfOhqch7K5xE2+wJaH2ay9QqfEUwNNHncrd9iNpNANaXbe9jaa/SwfjtVH7WNN+er6qumYL9uNs7jRBDAQCAQCLQQXgAE0JSdZVeSi7ZdbFbntH6fK1MzZj+BbSxUNA1O0Hx1Vtf6H2azEjjoxrfxrD8llJ7YDcn4Slg1eEPNv0ZgzRRaZzKX9rJITF2TekZYx5kUM9u5xIjjqIyr7XRHkn43fpXN+yirL55PPWPrbj6KGmTT69opAbS2NdevlZfd97n+dO0qDAUwEAgEAq2GOU4AfdoRH2yhpkA14XoTo5p5NdWLD45QcmHET8vUp0/vNUBFSYwnSGUBEkrcNChFCakRykEmsmcRsctYqIj9LCJmbdeP3nxt0bUWqWvv1yNne2bvoz6RarLWoJleFtHHnuQpsVsi66Vr44NtfES2lXmTr1f71N9TFWCrHwQwEAgEAq2FFwgBVCVNzaeqOmkKEB8dWmaC9OZHI2Gq3in50X6MdKmp16tO6otWddeq9ulWchohq2TVlLgeJgJobUyV1MhnJWE6To3NZtoaiwCSqmvrE2r7tVQztiqrdRaRzHbYOvSW9KOBIf7ZgBuvh4W5vM+10SCWXjZ/sxojDUwgEAgEWg1zmwAuIDGfxK0kukgsmCUwS7TNEJ8hgRmiY5rAFNF2iei8QLRNELhAdJ4lcJrAGWLeWaY9hLcR2Edcd4bAIaYdJw4T2EvgOaZ9bXfl+10EniGwncDTue1GJkVtbb7fxLRbxeZc9gRT5Oo6ptx0a/Kzlbl8mTxbx2K/4ieY9t1dK/drc7sN+ViRz+sJ7Mz9bslzWJ/n+VR+j815fs/m9342t1mR33l7fu9DBI7k4xCBE3nNTqR1w6l8nE5H21kWezJfzufJfMymc9ts+i7Q8ywBpqNthsB0LptK3wq23/Mk077Cx/I32EtgD9F2NL/X0/ndNuT12pa/xxiLfZctNZBGdIcCGAgEAoHWwtwmgN810+5icwRtbyYQqjLZczX/qSnSAhv6mLYXU5VPFS31J6tLP/3Sfz2TDfXzU1Oz90NT3zVVBn3EsPrkqQJpJl4zb/vAjIqrr8Ellu6lJmXW1t5FVUBVCMsUUo2yVjOxmm99ehxbz7KIaw2Gsft1sh6mgGoaHPXz9C4CGgls4z9KBAEMBAKBQAthjhPAfib/MTNzqvl0kxAJ++H3JNB84ny070o2k0f1G1P/s4r0YwTQ+vTJj5VQWRs1w6pf37C09dGtSjI1yXU/Cz8+JXh2VnI1kusM5rLhXD7GZoKmhFeDXdQvTwmbrYsFgugaK0HXfZeVCGuZjjHIIuehro9GV9fZTLa75Zn5CPaz2D5Pv+s3iSCAgUAgEGghzHECaIqPkhEldFamwQpK4tTvTIlZTe496VFyoj6GltvOR6mq8qcBCapY+Shl60O3R1MfR3s3m6ORs3E2p23RRNFKWMfkPa1eRdqZEmrrOMhmgmbvfTWfP6+wed9J/Q5KFnvdoe894sYqUzt1XX1wjld81XfxH4gggIFAIBBoIcxxAmiETaM8vRpkQQeqsqkqt4bNqqCRNG/m9GZXi27VcutznM0EsOr6MVXKR/eq2dObja8WvGEEbSiPt5yFmrfM1bO5jOTyVfneUujYvJeyUNqsbV9JP/puPl2LjxLWdfJETdemj8lnseKeKVlXU78G4nhVUQM+rKzb1a8yFMBAIBAItBrmOAHUXHCmJKkZ1g4jW7oTiJEBM91aP5YUWc2J3kzsSYsmSO5lImGe1KnfoVfHemU8VfrUL9Ge90tf3ifPghuq7tqrluO53EijKngWCawkS+ftya4qq87n8WUXeCWB0xQ5XmGtEFjEgriXqa8l4zT9B8Cn2FFlUeeta/13RBDAQCAQCLQQ5jgB9GqUERUNcFAzoJpcjUjYtm9GSCw/ngZ4+HQkRiaMvA1Kue1Za+1Uxetz19qv+umpP6CmaVGFy5tL1RQ8yoIs+XyGPvBDU8yUKZU6ro3l8/MpwTJyupjN6XQ0B6Otk66RKptVN7aSds19qCqr5iH0qWdUAbT/LKhiGUEggUAgEGgtvAAIYI1pKy8jAWqu9SZJ9bEzM65Gq1rbMgWwwitVJ28G9aZKJYxGsMqCHpQo1l17jfxVUqa7hJj6Z+RXibD63ml08gAT+VUCVXVjq2+k1jGCp+Z2XX9bH/V9tHc0hc+2irN63dLO9gm2s/ovGoGzdRtgoVrau3sTtX4/HcvWM9LABAKBQKC1MMcJoDcJKhHxfmUa+el91jzBUdVJlTtNDaME0o4BNhM8VaZ8EEdvyRheadP0JTrPbunXSJrVWyLjLnZ9qILnzdt97t5M5FrP1tGTqiqb11jNx1V3XWaOVXLuzbg2rt//1+rXXJslMg8l1r6eEtYggIFAIBBoLcxxAuijZk0ZU6XKR4T2sDkQQM3D6vPmo0a9n97ikjpKNFQNVOJp8+l2dYxsKclU3zc7lEwqMVNyZYpjhc3v73Pu2RZsFdfWz73izuajV3f1PdEs89MzM61/fyXyPa6PMjKvgT59JeNo/kEl/X2u7x4GAQwEAoFAq+EFQABVNStTy+x+sSvXHHqqLClRMd84Vad8/2qmNZOoqn/ehOlVLzVl+khbb4r2UcWqvHlT8tVM1XZWRc0Hq+h2c3r2pm2fBkd979SPT1VCXWs1bWuAiZlzbbx+Xvk+Oo5fSz8Pry7qfEIBDAQCgUDrYY4TQK9QeaVPfdK6WUQKe1Wsz9VXgqEqm6pTSkYsmMSTIFUCtY0SJ1MtdY/cstQwFrhgEc2mcnkyoyqbqmZqitbgCCVKXqXUeaqJfIn0V3H1dH10bX26FlUjlZyqoqtKnpFr/W62HvoddU5KkNWU3+/aBAEMBAKBQGthjhNA2wJNzb+Wu84iRcsSKavfni8z8qW+dGpiNLKi5EtJlo/0VdWpx5WrX522VwVOTcBKYrz6pmqeVx+9mdv789XcoSRa5+NJYdX1ocRNx7VD/SQ1EbV9R4tOHszfcZRpVxbLabgmn58gsI5YYPswb2ba93cbgT0EthNt+wk8T3QcJ9onibZjBC4Q7SQ6mc5d00QbCfw9EQQwEAgEAi2EOU4Aq2zeck0JjDfNlpkqzRRcc335gI0y06wRTlXrBqStDxrpcW3Up08jerW9zq9SMuYAm03HagK2sful/6sFRUzxTyQAACAASURBVKiJV8ma+ugNSZ9KeP26+nQ1denXxijLZehNzjUmErgyX48zEcP+/M5H8rGMwGoCKwisJXCawEam/YLteIIpufRqpi0CtxB4Uq6DAAYCgUCgtTDHCaCREEvwrCTEjkRaHn7Nn7KZ0HlVTYMWdB/ZXneoP6EqaurDZvdqkvZk0Jur1VSsZmRVJftcP95cqmZhNfmqqqfzUf88K1OV0pt01RysCqGaxzXIQp8r+VSTr6qoar62Oei+xPash8U+xl5t3C7f3X/fqvRn535GHsBAIBAItBrmOAE0Xy5Ld2JESXfAUDWuj0Xkq6l1Sq7KAjys3NRBn57Em2/VvKzKnJbZHLw66YmiPu93bTQApcJmMqUE1BM97+eopmE1WavZ2Adh9Lo+yvz5PCEu87f0fof6vfrZrF4eYLNaqgRfv+GglOu66vi61uEDGAgEAoHWwxwngGo+rDKZ+JQgKfnxQRkD+XoRm336lCQoCVTSp8ETdr1IypSEKdkoI5aqdvloYzXlmqn3cXlHJYmaSLmbzWtgfpJKYMuUPFXlbFy/a4YSXx+prKbq7pJ6qnRqoIb/JlWm/YjN/DtIoMHCV7DGZP5Vc7iSef2bKHIz3n3jd+SZEvkggIFAIBBoLcxxAuiITxt5pclPFR8t08jcKlMAQa9rr23VB68q1xWpO8hmpUzNp3b0sFAsvTm2zKTplTYdT+fSy2bl0+ZnxErf20ihKnp1OWtEs6mPqjR6tc6ImAXeLJE61medV75rt/Sha1slsIHAmVxvI5MPoK33kymIo4mE19m8b7KurxJy/duw8m8SQQADgUAg0EKY2wTwFSR+kMT9JB4gX/T8EeJhpvKHSdxD4kESj5B4KNez6wdJ3EFiHonbSPwMiZtI3EniZhLXkbiBxDUkukjMz3UX5CjSLhLzJ4n20wSOE10XiHmzRFeD6GwQHaeIzpPpvuss0XGB6DhKdE0Q7SeIzvPEvDNExwGi8zgx7zTReZBo25uetR0j2o8T7YeIjiNEx2mi7XS6bjuRols7jhBdp4iufal91wmi41w+nyE6zqf5dZ0jFjSI9vNER4Nou0B0XiRwjGifSPOdN0vMaxDzZ4nOaaIjv2NXft+OfFyb1+LGvEYLSbyYxN1yvUDW77pc97bcdgGJ6/Pad0iba2yNZ4kFM8T8aeJNs8T8KeKBaaJjksAEgYvE/Q3iJRfz/UEChwgczvfPEngqH2uYgj/WMQWUjDApi3ZtZuZQAAOBQCDQWpjbBBBLRNXRiFINJlDlSs2Vph6qGdKCSTToQc2kqiiqumd71qoJWNOhqHKmu5B4Ra9b6lpbU+p8VK43Rav5VX331Kxra6J1TQnzvnU+EMXWZZHr72rz0TZqlvX+h6pM2vtaub37kOt/WOagATXb5Jv2yBhlia3V7P1tIghgIBAIBFoIc5wAalJkjYQ18qBblWmwQT+biaKaa5W4aACDJ356qD+bmpV9P/pczahKktQc602Zvi/vB1grqdcrfXrTuK5bXdooufOkuer61EALfW/v+1gWlKF+e5qyx/z+rO5xNqfr0VQ6lhxao8G9mbzXtdGAmV4GAQwEAoFAq2GOE0BNdqwKk/mteWJhRG25kABL6aJkx0euelKjfdmzuhtL62obVQhVhVvEZlKmyqGStj5eSch8mhgNavFRuRZI4UlvWQCIjmMKqap4XkW8mppYdffWv85R9+4dZQroMf/FGfk+fUyJn1XN0yAdJcdKzu37KHG0PsIEHAgEAoHWwhwngEpGNgiBMFOlKnAagLDMEZVVbDbLauJkVa+MpPQw+ZApCRuU8TXCV8fWiF8t0/foc9eWMkYVRk0c7RMp670SHVNENVhlWObuU68Y2dPADM3Fp2ZkI4o+CMWigTWKuO760J1cLIhjOdOOHj1MyZ2HZK2fIDAl49ja9cl4Vt7N5qAWn2jbyGAogIFAIBBoLcxxAmg/4hWi7ZL88GskqCZEVmKihGiv1FFyY/W9ObPCFEyg+QVHS4iFmSU9kVTFscqCTHqTdpmZ1uZlpK2ery2Fymi+tue6zdqItLE1MJLYJ/0YkfLv4iNrbU7qO+mVOY0CVhO8kteKa1Nj2qGjN6/zoJSvYaEOqq/nAJv9Ko3IGzntlvqqEoYCGAgEAoHWwxwngEY8BlKUbVM6EW9uVIKhKUx6mCJHvb+bBjioGdPKBtisxPXLOEpEvDKnCpg3z6pC5s2sdgzKtRHHsTyfIRZEqFfqjbmxjQha3sRBGVODYXQ+amI3kjjA5nX2qqApikZC/bopQVdCZn0qwVOzcr/UNdXQtsXTOvZNvNlZg0IGGGlgAoFAINBqmNsE8Jb9xG1HiJccJ145RXzfRDo/0iBeOUu8gcQbSXyAxPvy8ZlZ4lMkvjBLfHGWbb85xbYvzRDvJfGns+z4+iTbvtkg/mqa7Y9OEn8zy/a+Btvrk8TwFNvGG5w/doEYn+H8zRNcMH6eeHyW+DyJT5BYTGLtNNt2Nzh/ywV2bLzMth0Ndmy/zLZdU1xw9DS7Dk2w6/gZdu2+yPbtk+w6eIFYTs4/coYdhy6w89hZdh6aYPv+S2x7bpLtByfYdeIMO4+cI7ZPcd6zE5x38jTb9k3yuomjxI4pXnPiJG84fZTX7j7NhQfPcN7OCXYcmiA2zrJr90W2bWpwwfHTxPpZLnj+HDFCYvUUsSSnwPlNEt8gUSE7hi4TS2aJf5hNZV+bJf77LPEXU8SHSPyXaeJPponfJvGzJD5G4hdI/CSJHyfxLhJvI/HDOU3PAyRePk08MkPcf5J44DRx32nilgPEXUeJ2w8S1z9H3LCHmPcs0b6T6HiGwA6i7VkCTzPlAnyCKTn0CiYz8SiLPYKHWaiflhPQyo30GZlVgj/AMAEHAoFAoNUwtwngFb5vZdGqZt7UgBBVAtU8vISF+bBf6lV5pdlSFTarp7tfeHOoqWmqaum1PbdxNXmyXauSZaraKJtNvWXJnUdYpFMxpVDfZVjWwvsV+iATH/ih/o62jqqyauCFBsCoSVzXS+dhip2azL2PY4+MZ+/ufTg96dNvGHsBBwKBQKD1MMcJoI+KVYKifmC27683B2qEqxKbXnmuRFDNoObbZ2ZZDdJQM3DVjd3Nwmzpt0Yz4ufNqBqda2ZXJTKZHHb4/YI9Yaox+dT1s5kUqp+kkV3vK6d582os8gGqv6QGsyix1TVYJHW8CVx9Eu2dba3sfdVErtv3eVKoCp89U9O1/V0sYyiAgUAgEGg1zHECOMhmhc+Imu59OyQ/+uYXZkrYcL4eZGE+NLPiOJPv3Aoms+MyJp+5FUyBCGuYSNRyApuYTJRPMu1AsTUfm5mSEz+Vz9tY7FSxjcBOAjsIbCfaduTrnfnZM7nurny/qbjv3CJtt0qd7Vz4x6dymY33dB5vO1Ok9FNMu2PY+6zJ77cqX2+Q+5V5jcbzuozlY1leM1tLUyjte5iP4aA88/57apZVdbPGZnOtpocxQtfL5u30fL5E9Vvsdc+8stnPIICBQCAQaDXMcQL4dCI/t58msJtA3pYNp9PReZq44Qxxw2nitnPEiyeI2y8Sd5wnHpkg7rtEfH42bdn2UIP4wQbx2mniNTPEm2eJH5hN25H9axLvz8dbSHw0X3+AxI+SeCWJhTPEO0m8J/vEfST7BH40+9h9ksRnSPxYvv4siV/Jx8ezD92n87PPkfglEh/MbT9N4idy+U/mfr6cy38+1/3FfHwij/+JXO838pg/R+LfkvhpJn/HT5F4R/bPu2OG+DdMPpPvJ/F28+GbTXVeS+JVM8Tdk8SbJ4lXTRPf3yBeOZn8Lu+4RNw9Qdx1nrjpDHHTeWLBeWL+2XTgLNO+vmeYtm07RWA/gQME9jGR0035WMeClK5hItxjmYSO5GufrsYCTQqVsn1sms0+f5oI24ilkcCIAg4EAoFAa2GOE0BLkTLEZlOimTI1b5+pRz7JsaZL8eZgNc36nTzUHGzjaLSrja9mVG9m9QmnR6W+pmGxuZsZ0/axrcuxKq+D+hBW5P1GpV4Pi502LH2MtbN79av0OQfVfK3Rw2pqVn9L75vpcx12yzMdx+ZoKVw0t2JVni2RsTXVj30TTRKtkctGHIMABgKBQKC1MMcJoJGfYRYmSTNLDubzMAuz5QgL8+4qpqjS1fl6A5Np9Gkm8+sWJlPqTiYT63Pp6NibzvP3EvP3FeXz9xDX7SZu3Efccph48fPEzQeIWw8Stx4gbthL3HWYePFR4vbDxM1HiTsOEHcdJO45TtxxirjzBHH3CeKuY8SdR4hbjxO3HiXuOE7cc6I47j1N3HyMeGA/ceth4v5jxB2niVuPELceIm48RLzoMHHTXuLGg+l46VHipueJhQeJjv3Ewr1EW36fzt3EgucJPJ/fd3c+djKZnbfnddnMwoS9Pq/Z2ryOy+VYxiJKdzR/A/1GZhrWdC2q6pkfoCp4VwumMZOwpqHpZbPp1yfy1nyRixkEMBAIBAKthjlOADWXnt/STANBVHXSrc5UofJKlV6rGub7VjVRg0w0SMP60H1rvWJWZfPcta0mkvb5CG3cARbb2ml/ukWdrpEGTOi2eTqGETQf2KFRupqoWhU29ctTXz59T52PRmUr0dMAE400tnXS7eyULJatpyq8pv5FGphAIBAItB5eAARQycTVfvz1h1+jTzUliY8I1h1BNMq0jGz4aGRNcVJG8PSsKpWRRyV2V4vEVeKlEbiLpJ0RHT+urlWfq6/1dI42z0XSXt9RCXGZmdz6qkvZElfXm9mV5KpJ2PfpSWXZGmvEdL5fMJHrhAIYCAQCgdbCHCeAGt2ph26hptc+JYkSIY0S7XFtdBzN36djLnHlFdfvEl5dNVMCanvXml+cT7VSZt7U9l6d1FyHniSbOlgWSauE1s61kud9BB6Xfha7Maq8+pz9Xsm2LuZX6fM2+u9jPn5etdV51qRfjRYfIF47mceJPICBQCAQaC3McQJYY3MAiCp63szpgwQWsTnHngY7qCnX92nER4mOESEzf6rp0quI3oSse9d69c0UPCWKnkTqu6kJ2KtfmjLFm661H52DN6mammjkywd66HgV99yeaa5CVVMtkEMJmz7XPpUcD7B5DTwR9gEt5le4niltzwCB7xBBAAOBQCDQQpjjBLBCYA+vTEKsu1OouXGxq+Pzz6kipX5uRrxUnVJTsUaxWn/etKtqmPeN63XPbG4awayKmydVZlYV82ZTQmmvDKpJVBU53VnDm1c98VPiVmZy1TqLZI5KRJXYauRulSldjPWh30p3FvE+lJb425ve1ffQ+lnNiAIOBAKBQKtijhPAGlNEqpn7VO1R3z41ASoxUbLQwyvNhmVmR62jQSXejGpnTUpdVs+bNL3ZVOfmCZA3qWp6Fu8fqYSuLv0oGVN/QE/IrrZGSvpUDVXfPU3jovVUXbR9e01J3SXj9zMlvVaC7INIvJm7l0WeQHtnNbcPswhyiSCQQCAQCLQWXgAEUImYEis1l6pZVc2+PkK26tqp7503A1ubAfe8rJ8eJhXMkyY1w3pCo0RMya2PYPamW1UqveJn/faX9KMmVTWJG4nVsufZTML0XQdcWVXKvL+jvZM9t2tVMa1Mo4tr7tqTfyOU/e5s7zJGLDjHtC3ecoYCGAgEAoFWwxwngLovrJpgy9Q7VaS8ymYEQkmUEj1TvrSPSkl/RtDKkiBr7rolrq4GkXgztPe3Ux87U7D6rtJmgM2kUpVGNQMbKVQzchl51rn4VCxK6Kx/9dXzZmztx1LRGCGvyzObt0bxWv1B6d+Ir34/yy2ofyO5n09Q5vr3RBDAQCAQCLQQ5jgBVPXPSJiRAU36qz5kngApkVOFSgmVmkPVr0/bLxGCs4TNJEd905Tkqbnam4XV10/VNh1Tzb5VNpMmnaeql6po+vWw8dWXsMzMrGPre6gfpRIu77uoPpo+Qtf61nQxmv5FFc5VMl8NAjGzsQ8qsb+D5cSbjAAOMYJAAoFAINBqeAEQQPWJU6Wv2xEdJUBq6tQ2an5UMuJNwKrAqQpmpEdNrGUE1a4fd/14/7aKe+6JUkXG1XH0/ZRwaR0NoDCypGN6E6+qnT54Q8nnIhZmX1UFy8zwnihaRO+o1O9xzzVgZFi+j45h42vgiZqxn2YijzWmXUvCBBwIBAKB1sLcJoCfJdN2ZceYggQ2M21h9gzTVm6bCWxiSvexg8A6AhvTcedZplQg6wmsIbAiP1/LtHXc2ly2LJ+XE1jJtI3cUK6zMp/H5Twi55Fc17ZEG2LhyzaWn5sKZXVtC7t+Oevev2PSz6i062ciRHbWOjbfWn6PIXmPcelnzB3LmPzkxvM6LWPa9m1VHmOprM2KXG5bw63M67k6HxvyOa8/tufv8lQ+H2Taeu8p4vfIRNI25u+2P9d7hsWWdFvzN346t38m19mY57Ajl9uxOc9hQx5rc667hZEHMBAIBAKthjlNAF/BtcQPkHgjiVeT+EESryXxCImH8/mHSLw8P+sgcTOJe0h8hMRLSdxF4hYSN5K4gcSt+Xw9iRtmiBfNEjdcJhZOEh3HE/FoO0vMP0dcc4HoOkUsOE8sPE4sOE5cd5boOkNcc5ToOpmfHyGuOUZ0HSK6ThCd+4h5e4gFh4mOA8S8g4nktB8gug4S7ftSedfeRGTaD6brrn3EvCPE/MNE5x5iwSFi/gECh4j5u4l5zxOdB3I/R4nOvcTCU0TboUR62nYRnceIeSeIBSeIa48RC04R804R1+SyzgtpvAXniGsniHkXia7LxLUXiXkzxPVniQWzxMILxDXTxAISC5nO18wQ15GYn8tuJNGV1/SmvKbX5Ot5+fyi/M0+nO/vJ/EdErflfl5N4hu57S25zt2zxJ0kFs4SL55N36hrmuiaJdonCZwnOi4TnZcITOTjOIFzaZ07TxI4nNYNB4IABgKBQKDlMKcJIDousDmCVgMGfPCG+YnZM1PEynzV1FRqip0mQV4s1+oL502zagKt8cp9cjWwwcos4lXNvzan4dyv+cSNSJ82to07ls+jLEy8wyxMsDYPa6+RuuZnp350Ng8zrfrIXG9W9vNRc71G7Q4wKYUn8v1GJsXRnm9PhPy7Y1tfgzK2+oL61DpVOez5Zrf+kQYmEAgEAq2FOU0Ar//Lk+z820kufPwMX/TYcd64+DivHT7Nm5cf4c1PHuad2/bxxZuP8I7tz/POPft457G9vOXAId52eh87ll9ix45J3nD6CO+ffIb3Tm3nrWf28vbp3ew4eJH3z27h93MtH+Im3s8tfDk38uXcyJdObeGC46eI/ReT8lib5fUnT/CuC7v4fZNP8e6pZ/ngzCa+7Pwm3nd5K196fgsfvLyZD5zdynsvbePt5/bwnmO7eN+5bbxzYicfPr2JLz27lXcd38N7TuzivRd3cOHzp3nv8Wd587FDvPPMbr7k5E52bpzg3Wd28Y4T+/jgkS28c99ePnxiE+89upMPXHyaD514mrcd3s+7zu/kPSd38eXnn+S9U9t598ROvmpqNRceOs3vn1zHaw6e4fxd55KC9vQ0bzx9mDdeOsD7Lm8lVs/ygTPbeMuxA1x47CSvu3CEt1zex7tndvC2y3t4+9RzfGD2aS48c4ILjp/m9WeP8KZLB7jwwBl2bLnMrgMTxI4G5+25wBdvPcoX7z3CeZsucN7yC1z45Bm2DTW4YO05tndPEt+YYtviSc7/6/Nc8J3zvHnxYeI/zrL9K1PE780QHyPxSfKGL5/kvP/jEvEOEm+aJt4yRbzlDPGuy8T3nyAePkTcfYS4eR/RsYeYt5tof44pQfiufJg7wAYCa4j5+5hM1mNM5urwAQwEAoFAa2FOE8Dky7WPyZx3Nh1dZwmcJ3Ah3V87QTxwmZg3QWA/cf1F4o5LxD0N4o7LxEsniVsbxMuniAemiYdmiZfOEvdNE/fPJBPkwyQenCE6ZgicIu6fJd5O4vX52Q9mM/QPkXgdU4Tpm0i8hsRbsonzh3P9t5J4Q67/plz2mny8Mz+3Md9M4l25/L0kfoTE+3KdD+X7HyPx7lz2+lz2FhL/isSPMpnIX0ECjWT6fnU2jb8sz+mhPPY9ud4jJO6aJR7M5thXkHhkNr3/XbPEnbPEHTPES6aJe6aJe6eIOxvEnZeJOxrE9ZeIay4TbReJWyeIhReJjov5e5yTs32n02lNcSqTtiNMZtlnmXz5zI9zBQv/w1VM/ohjTP6HtqOHqakDLAJEhuWZKbmWBNrKwwQcCAQCgdbCHCeAPqWIT5GipkwzR/roUzUdaqSvmnYtfYiac8dzWTebo4B7ZVztR3MU2rxrrkxNpWrKtLpmkjWCY+ZgIz1WZyyXDUk/amrWvsxMrPnzLHq2Ku0s3cqorK83ZfvoY10HNRXbWBVemcuxX64116A359q89PurebssV+EiaauRw2ECDgQCgUBrYY4TQL/lmOa1U781/2yfIy9GjMzHzKc9qbAgVbpjhRE12+5N06nUSsY1oqK7h+huJEa8tK1F/w6w8Huz9iNsToNiRHWIReqTKpN6VmVSy2q5nW6HZsRVEyvbGtTZnBfQyLT6P/ayea66x3KVyWdSCZcd9l6j0v4SCxJYY/IPtHkoeet1ZyWkFV6577Mn20YK6wwTcCAQCARaDS8AAmgKnu7r6wNCNBCkh8mkqMETSlY0UMTUPM3rZwEMmmdOiY3muivbbUN3udCADr/7iBFLI6iWLmYw17UULUYo9X1Gcpu1edxRKbcACiNftl+uEmDN3ed3EtH1UbLo8yfq2moOQg3OqDGR0/F8PZrfS/MJPi3fTnMUlu22oqqmrbF+B5/30MpDAQwEAoHA9wZeBOBRAIel7L0AngCwFEBPrgMArwOwAsA4gGEAL8nlLwUwCmAZgOUAXlMyzguAAKpJUCNvvZKmu1YM8kqip4mHVbXzu130uvGUoKl5s1/qagSxKmc2FyWhGplr+9iaamemZ4sINnLjlUOru5RFPkD1kVOSpiZmI5Oqkqm53N6jhynPn/XjE2V7cqgqqxK3an7H1XlcVVDt2QgLQmpz1yhsm3e369cTUlVu/XcMBTAQCAQC3xuoAfgsgEP5fj6AgwDuy/e/B+C/5+tnALwpX38SQCVfVwF8LF+/DcDmknHmOAHU3TP0UH87Iw39cti9mjbrUmYqkRGQIdfOEjsP5+d2b8mUzVw7xiLhs12PMhEza7cq3y+TPkakbHk+xlgkU17NRMCW5zrjLJIyjzAlRN4gbYaYEjnb/UhuN5j7sPmMy/vZOw/mY5gFITWzrZbbOxsh1RQypsSpSVm3nNN9iMuIsDf56g4fuuuLkdO6XGtqmCoLlVO35wsFMBAIBALfG7geiewZAXw7kpJneBDAzlzneSmfB+ACgE4AFwF0ybP9AO5248xxAmgEwHzi9EdfTa+mAplZUc2c2s5IRZ1XqliVTDQ0GEHH1r2Gfdu6a1N1Y6rJWs3Vi0v68n50Nqaql94UPeDKeqSNjWfBLGVbwWlOwoob3+5VfbU2S1zdquvLt9MyzcWoc/Pbuqm514+jvpr6Ptbe1isIYCAQCAS+d3AfCgL4cQDfkWfXArgE4I0A1rp2xwDclc+KdQDe4MrmOAE0054GWJQFKKj/mEamWlv1H1Q/PPXVqzARSB2zR8bUCGMlMhqdrOSoj+Xk05tJ+2SsPhZkaAmvJGzaRn0N1U+vR8qX5MMHzfg1NLXMq6y9ub29e4+072bzO1l/i6VPNeOqGbq75BtpsIeP4u517W38ihuj5vqzbxNpYAKBQCDwvYP7cHUCeB2SwvdGJGKnOA7gznxWrAfweld2A4D8I65KlhKipfLjqVGwffKD6s1zwyU//KoqKdkw0mXqmqpYSkTUtOcjdJW0eJ8/75tm7fqlnRINeydVlaysn81kTQmSvZsnXErO9D2ULGofPXJ4lVLfW82lNTeOvYuRszLlUefsSay+l65/H698P1PklFh730wtU3Kofwv2t1Xmd1n2bn59NchD62g99ZnUSODwAQwEAoHA9w7uQ0EA3wpgpTx7BMB2JJPuQSlfCOA8kil4Ip8NRwDc4cbIBPDDBH6awEcJfI2Fn9kYgaNMCXiX5bIV+Vib7y0x73omv7QxAk8y+ZQN5rqWtHdpPo/zu75ybafY7JxvZ02NokEAGsWpwRd6rT/unjx5NUgJkjcd98o4PnhB1Tw1W9qzJVLX0rWUmUM9kS0zidq4qg7a+6q5tFuudV72Totdn1pP18CTN+1Hn3mlUoNRlCT6Mh+QUWX6W1km6z3A9DdixM3q13klodZEz/Z3N0K8xv62LOr5DNN/TpYT+G/E/F9n+tt/DxEEMBAIBALfI7gfRRTwPAD7kHz/AOCPAfxJvt4I4Efy9S8hRQ8DwGIAn87X70aKIPbIBPBbLFQXU2LKyJFXy9SRXpW2XmmjCpUSB6/qqIKnpkSvsnnFzBMMu7f5qglWlcE+GaPHtTeSqUqTj5hVhaqsvFA+X4JvXqW+moBV8VOzpr1rP69cB/0mPg2Orouuoaqr6mOnKmCv9K/E1tr4nHxeCdb1VzVVFWA166o6qWTbE70lMgcl255w6nyqbjyviNYI/AMRBDAQCAQC/8K4CcAYgFUALiOlcvkagHcAWI2UBuY7SH6AAPAqpDQvSwHUANyey+8BMIQUPDIK4OGSsTIB7GNS6lYxKSgW3TrCpOpZJKxGgdpOGPYjWpfzEJsTAquvnP5oD7BI9KukUn+o1RxoREDThShpVAVQyVOZSVYVPk8W1X/NK3uebOp8VXHU/jVS1SuS1k4VQyXFWkeJoY5hc9U2tlYa5KEpbvxzXWMlx0qqe6Qv68/67JE63uzdL2PpWitB9MEhquQqWay5s7okaM4//XvMRPbunfm5/X1uzu3DBBwIBAKB1kImgN/OP5ZLhVgMuB9bJT99TGY0H5lqP+h1Xkn0lCwqURqVflQFUiKkpMQUKCVYVdd/GVlTuYgk0gAAIABJREFU0uPNsP6635V70unNo2o2rkg9T2yUkJSNq8ROr+3d6rySkPaz2PXCIl6NXNm9mnuViPl3rbu63lStJNSufQ7CihvLR+xankEl2H4cnY8nzHVeGV3sCbH2o3/D29wch3K7IICBQCAQaC1kAriPwCTxCAnMEmA+ZvK9nadTeQeJ9zLfN+TZFPHwLIHzcpxO55svEDhF4BiBEwSeJ7CHaD+Sx9/JlL/uKSZlZjPTjh07mfwN1zKRzhUEnmXhb6i588yPzPLSWS47VSM1R50GUvjcdXooCfF+bbr3bN09U3/DioxXVq5jGEnzRFjbVtxYNVffnqlJ39dTk7Q3uep66VpYPV1XXTubv7az+kNs3tLO/nPQ577lIJPCPM5CkR7P339TPq9n+lvYmI8VTL6qG5j+dp4isJXAlnRuO03MO0lgD5Nf624Wf4dBAAOBQCDQWsgEsJfAKuLGifxDu4ZFYMeqfL9ajs3Ewun8g7sm11tLYD279p9jMutuyD/Wa1OdVzDX3cAUJLIh32/K/Wj/q1gkOd7OIlny6lz2VJ6nBZcM5XsjF7arxBgLk7Xup6tbq6lvnhEgTQitpMtv72bkyRIZq8rlyZWap00BteTIar5UYtkvdQfcuBo160mlErwlbCZnaj7V8iEWhEyVOqunhNGvj7oBWLS07T6ipuUBNq/9Uvlea+SbmYvBMAsibyR/GYvk05oAezSflzL97axiEay0gikAZH0eZ5c8W8MggIFAIBBoNWQC+Hj+Ud4sJMB8+ezH2vz/hlgoMfYjPEbb+aJ9z6X8I21KTt754kHmera7he10YcqOtbEdMmznjDUszNOmCj3BYpuzVSx23RhlsUvFKiYFSEmf+TIasRgWEmPERwmcEcl+ebZUyrSdRqOa+XWAhcKn+9RqVLOOqwTKkzlro2TM2pqyZiZiJWZa357r3r+6G4r66HnfumE2Ezl7N10/m3e/uzdzq/49jeRvm7/ZyxosCKGRQ/u7s78J+9sZyvfLpT+LGtZva7uVjBF4hsV/GJ5g+vu1fiMRdCAQCARaC0IANQhDfdJ8oICRCjVR9hVtFhxic6SqEY5xNjvtq5lRg0N8mg/1L9S6dddHnyvvzT/yqpQNyrtpBKpGjOq71tlsrqxlwlCXtkYul7CZrPVKH2X+aqra9bprTX1i5KqWCUu/61PzNuqWar1MJKia59grZ5uHroGP/lZfQZ8zUb+jvkdV+vIBGV457Wciefn7tZPNquJzslbWdkDG0GAYMzmrr6lGtNeY/hZ0O8DnZI0jEXQgEAgEWgtCAAfZrEipajXMQlEZZbEP7UomNeVJJvPscwROEtjP5Nd3hsCFdCycIOZPEPdPEHdeJF5+mXjTJPGKy8SrLxOvnybePE18YJb46AzxUyQ+QeJTJH6WxE+Q+CSJXyHxBRJfIvF5Er9L4jdI/B6J/0riv5D4tXweIPEfc5uvkFhG4vfz8SUSX8zXf0TiT0j8JxJ/SOK3SXw1P/9jEj9M4iN5vK/lsX6PxM+T+DKJ3yTxOyR+Mc/lM7nur+fzL5D49yR+Kz/7BRK/TOJnSHw2v9fPkfhpEh/M7/0JEh8m8e787OP5PX4ur8dHSfxkPn881/1EnuevkngPiQ+ReKmM9bm8jv8h1/14vv8Mibfl+8/kfj+b1/7jMvancv2fze/wa/n6Y0zf6+dzvX9D4tN5Lp/K7/fxfP+5/J6fI/E/8lhfIDvHLqZ3eA+Jf0c+dHkT8T4S7yTx5lz+dhKvI/EDJF5N4vUkXkPikWni3ini5VPEg1PEvQ3i1gZx80XipksELvKm/3SMuG6CaJsgMEG8bpLJF/AgwwQcCAQCgVaDEEBVnDQXnJnw1Azpo18tJYgpeKqcqVnVFJ5spm3flAmlmWXN4X+MyVy3jEXiafMN3JKvV7JIRr2Ohd/iFqaggLUE9uZnKwhsIG5hfr6Fydy9hSkydEe+3pGVoqeYTIbbCBxm4a/4VC7blJ9vz/3syOXbmQJUnsnnXVK+ncARJrO0Bbdslz6fznPYLfUtOOZoPp5jCqo5kvvfl9usz/UP5bHP53c/k9f3QK5/NNffn+exW84WdLNN1uapPKbOb1O+tnXaJm0t+GJzrrM5f4sn8/N1TP9h2EjgHHE/c/lEXsMn0jdsmyb+FVn4fC7Px+Z8HstncxkYY/rb8n6gpj4OES85wPS3Vc/1V0qdvyOCAAYCgUCghSBbwZnPnvlvlZkYvelWzW52aHCB+s6p6dDMdOPS16Cch6RvUx/Nn3AtC9K4NB9GAowoWnDA6kwUxlO7tqOJYGAti0CTdZmgbMyk5UlqUEsqWyv3G3ObTfn+SRaEaQcTWdzGIqLZrrcykbNncp9bc/mTUmbRz3tzf8/ks5G7bUzkbVduvyefbQ4H8pz2MBHHZ2TeOqenc9kzbJ7T5rwuG3KZrYtF1q7P1+tZKL9Gwu2ZBQVtZCJZoyyidC2Ke1Vq23k4f7stLPxCl+Z32sHC79N8Blcw/S3Yfxj6mf4ujNj56GLzQxxiscuIBdRohHgogIFAIBBoLbg8gKrsqb+X5U0zs3CV5X5tGhChwRQajDDCImDCnPTtx7ou1+bMb6lABllEdy5jERSwMp+fyM83sEgNsi4THiMl2zOx2Mmk7D3PlJbmOIFzBC4TuJjPk3K+SOASsXCSuG2SuGuSuH+SePEk8WCD+IFJ4m0N4mWTxBsaxFsbxDsaxIcaxHsbxL9uEO+fIn66QXxkinjXFPHxKeJTDeIXp4mfmSY+O018fJr4xBTxC1PEZ6aIX50mPj9N/M408eVp4meniS9Msf0Pp4nfnCK+OEX8/DTxy1PEz04R/26K+KV8/akp4rUN4qFJ4kcaxE82iJ+aIj44RXxginj7FPGmKeItDeK9U8QjDeINk8TbJomHG8QP5ve8e5K4Z5K49zLxokli4WXixkmiazKvzSTRcZnJ9D/JZPI/yaRSnshru59JZVTVcy0TkTU1dgOL7QbXsNg2UIN/LALYgkD0PyEaeaz/MamxUAjVf3JE6n0zCGAgEAgEWgqZAD7GItGyRYrqrhXq9O8DBCpSVwM/9Fod98vSkfjDIlnHWWz/ZW02uDn5XTx8UILOx+qYUqlpSsrSqNhh7zwidbSNT/WiCZO1rq6RzkNJt5EWU7dMFa1mImPBHWMy3hibo1+NYFfZHAhiu2CYQqa7cag65r+Rz4/og4L8+qpybC4E/VLX1DobYzWbdyrxAR01Nn9z/a4aWd3nnlk09pCMr0E1dgQBDAQCgUBrQUzARkaMBNoPcV1+TD0h1PJu6cOnM6m6+p4UaH9KvDQy1Q4jOEqmVJXUH3YlmaZC6r1GpOp797h7q7+OBUnyfpKaL0/N5PbuRsB62Rwhq+SqKmXDTIpmnUVanHX53szXRubM3F1nUs80F+Iwm9O1mApmpNJHZhtBs/VSE7+SPiX4utb6rfqkrU8MPcaCuO2X8ZUg624u2tbUaBtHv1udzdHk9l1UETRXB5tXmIADgUAg0FoQE/CYkBEN9tBt2zyps+eqWNmPuqpgVqY7cGiKEE3bYQmIlbAocVFlyFJ6DMgxIm1M+Vman61ioZyNMpEjSxi8gkXAyDoWpkhLQm1Jq9ez8OnblOs9xWTO3MXkf7eLydS8l1+++FuZ4Bxm8uN7jsn0fIIpAvWQHHtymQV6nMv19jEFdhzPx55c5yjT7ionmMzVzzP5D+7N7Z9gMnEfzMeB/OxgnseOXO85JvPszly2lUXwivkxmp/gJhYBHbZGa/ndAI7vlptZXvM9Wt69cfmm5p+nqpzl/1MlVv1EjQRq6h7NbegVPp+4Wsl2KICBQCAQaD1kAjiaSYqRHUvzMsJCaRpkoSxZYIaSM8v1p4qW7WRhipc3EWu+PyOBPoCkLIecNx8bCfBmSiMIPSX1velYzd/qx7iEzXvL6r7Afo9cfU9V1dQHUnf38Guj62KExkiPqmhKgFV1VZOskmPN66i7j2jORE+M7KzrpUqt7ter36TGK9Xhfjkr2VfVzkhdzdWz+fZKHV0rv2+yV277WPj7qXld/zMReQADgUAg0FrIBHAb0X6JhYq1I5/NOf8pJuXLFB+LrrVADIu63cLC50qjLO0HWE2fRh6MgKjvliqFapY08qTE0KuL3mRoh5lEPQlT4tLHK8mMkR4lpzXXlydl3s/P1NEy0lOVOkpQ9KiXHFqvJmVDbJ6jXQ/L++oWeGXKmJpNzY+urJ5+QyvzJFgTVNt3KPtOSpptjayOje1Jfq2kXNvY2q1lYfZWxdF2EAkTcCAQCARaCzcA4EdP/jk/PPUN/nTj63x3Ywkfuvwkf2nyzzn/yCm+/tIYbz2/lwuOnCB2XmLb7gniO7PEX84SPzdL/NEs8akZ4kMzxGdmiHfMEK+dIW6dIW6fIebPEJhmig6dZmG6PMlEMp9lMjFuzOd1LFKPrGFhYtS9gsfZTD7NrDjG5m3AlHisEAKghNBMi96MbCRCzYn2vMpmU6NGPBvRMFO07Rxiffa5PjXYw5suLZhjWJ4baeln8zso4dPnllJHn4/wyjXQddB3tX5027whFiS2jGT7NEEW8W11jHyOuP51GzhL+6NlluNvWS5bLeuxMt8/wWKP6tVMZuszLPIV7mEyrZ9kMo9PM7aCCwQCgUCr4QYA/KOzP8/P88/4h/wi/4Y/w8/w/+YA38ov8qv8G/4M/5qf5F/x0/wqv8g/5a/wV6b/lL/d+F3+4sU/5384+VX+2Mlv86O7/46ffOZv+bFn/j++Y7zOd4318c31Ub6pe4xvfHyc93zrOX7f32/lLd84wOu+fpLv/F99xB/MEl+aJr4wQ3z6MvHJc8QHzxDvOke8/hTx2nPED50k7jtJ3H6SuPM4ce1RouMY0XmUya/uCItEyTtZ+LbtZuGrt4WJbG5ikbvODssLmJNFY2kmEObHZulnLEfdylzXfNssJY3tM2xE1Ccqtl1UTC21dCZKcMbYvIeykVvzzxyTvkakvu2Duyz3Myr9G0Gy1Cna1vzyRlikWLH3sfx649K3jr9Mysflmb2f5fyz9TL1eE1eX8tFaPkCN7JIMr2VRW7FZ/NxOH/fA/n6aMojOO8oMf8ocdMx4raTxN1HiXuOE993knjdWeKj54ifmyY+cJH45CTx6dm0M8oXZtJuML9Ohgk4EAgEAq0GtxOImvOWstn8pmlW1PdL9xBWlUn96OxaIn1votRTnz01A6sfWj0TBzU/evOg+vtpnZ5MgNRkq3M0E7Kle6lLf2YOVV9EM3OqP5vfJcXK9T3UF079H9XXzvs8akR1Waobn0rGq3KqDmpksvol6vdTH0gN0Km5elpWceN7c649q0j/Gl2s9a3MfP/Mr2+IV363mmvjzfo9LIi4EWgbb1COUAADgUAg0FrIBPAJFlt/7WKK/jzDFFW6n8XevpYYeSIfs/n+bL6eJUACl/Ix647p716/ano1gRkpa+TraQJTxF0zuY+pfDSI/4t5vEtMZrzz/G6SZpzIxzGmiNoDTEpgTkLcdjFfb2dherbjmVy+lkkhXMOkSK1mUrs0EtjUwVVSvopJxdJ6tgPJKhY7lwxKfyt4pQJo9Uz1G8/9aFLsARYKYs2VmZnUiI5trTfKwrRtpvEx6XPUjW1BPpZfcJm8m81pTX4HS96s66Im2HX5O6xhUvfM1L+VSfE7yObt9J7L32IP09/cURYK4EGmKOZduZ5FNR/P3/wMkyK8n4UyPMP0d3GS6e/oRK53Itc5xiCAgUAgEGg1JAL4wFniJSTuvUDcdZG4+yLxwHni9mPEraeJBSeIBYeT2XXhYWLe/vzjuy//8Or+tWZmXSdEx3Z2MBPlSCYJ6uOlZwuYsHvzm7Ot43yiYZ/EWX3QVKlSdczUL1PXTGmzsXx0sk9+7IMY6u5alUSfAFsVM99/1fXf6/oqUz2r0qfm4fNBI/pclVwNpNGciD7Pns7ZHxoko+piVcatyP0Am9+xTAFUJVSDg/ya1+WZ94M0k7dFqQ9LmZHfMAEHAoFAoLUgiaD9j2tZsmRz3Fcz69VIkP6gD0pd+2H3JMuS95qJcJDNREiT+1r/FRlT56sER02wGrmqKUc0MlmDF/TdNOec1vX1fAoSrafv6NfKR9KamdNvr2frMiB1vVlbI5L1vTX9iwaAeJJoZM6nxDETsJI5ja7WerqW9szMurr+Sqzte/QTWOS+v5FANQH7dDZqVvYmcA00sf9cWL1QAAOBQCDQWsgE0JMXVah82pZdbM7FZs+edGTDjpVCPpR4jPLKH3b1dRuVOdjOG0PSV6Wkrc7Vk1Pd7synLrE+PcHTBMPqy6gkzfIJmn+b+q158qo+czb3si3jatK3ztP71em7K/HTuvadlPj6HITal6ZwsX7smb2j9aNEVP0FK64v/zehyqWur/49KPlUIqnf1t/79asyqdD6n49tcm9RxZEGJhAIBAKthSIP4Hf91taziJDdyGTKXcsigvNELtvAZMbNkZwPzeQyrb+OKf3LGjZHfK7JdVcz+ZlZtOhyFn5klndwmMVOHRaNu4LJfDfOwq/O/NfUtGcpSLLiM289m/3iNLG11VNFTUnKEK9UzJRI6r3lzlPzpJIkr7ip6qbkrcwsrCTKSHWf69/n4fP5+HRrOE/Ma65PT7I8EVNy70mqJly2tR6S9R5ksSVcPZdvZ3NKmLp83xE590uf+k0tIjn/fXyS+T67IFwzzWIrPfu7CxNwIBAIBFoLmQBqjjc1p5b9+K8WkmFbb/UQd84KgdDt446z2X9LlbRBFgqTRm/aDhhGVIycqeKl8+2RZ7X8A1+RcbypUU3FaiL2JmpVGPtLxlbVTNfKRzGbymXvabnvbN6mGvpk0DUWCZyVtCkRs2s1aQ+6PlSlU3OtKpuqimkUrY6jqqK9j7WxZ7pDiPWrZuxVTCpylUXQin2X9USbRYcrWV0qffv5WP+qOtq69ufAISWhx6X/SAQdCAQCgdaE+AAqAau6sz7zgRT5B3fBhJAGJWNKGL2pWc2ZGsTggxY8QTMC5dOU2PjrXP/jVyE1fmcR3X1i1L2H7V+r6lxZMIVfK931w5twfaCDJ3nev86IujezmqJoZnM7m9Jm72IJnPsJdLOZIOqWc0aiNOm1vbPOtyrtlOyqEtjt1nUpCxL2JJv/FnYxRfDqN68wKdR+jfRvVM3Y+m2XEW+dlfUZYFL97J1sjrEXcCAQCARaC5kAPlby424/zKZQeZOfkiAlM1amTvo++rUsd56qhp541jORUIVSSYInY77esNRRgmZz0nLzkRtk85wHZEw/thJnDWZQMufNrqpI6vz7eOW3UELo/d1szUyNtbFN3dQ8hp58a1CHfivrr8ynUhXbMjJs/SyRMlVKbScPjb62dsNM5lyNKK6w2E1FiZ4dut7+78wifzXKW6OTjbxGEEggEAgEWguZAH6bzSZTVXP0B9UTAbvWNmZC7GMibUpmKkJUlHz4JMRl5FNJlM5VSaOY/pqUoa1CaowYmIK4mAWx0uCMQTabLjVqWQmYklXrsyL3ukZKeGyuGgRi81ZfOVMebYcOJWVG+JZKnfHc3zJXR8nxgLvWNVXTdNk7qtKq5Narx9aPEjRbRzO9DrP5u14t8npYru27qoKnf7f6fUz99FHSGpRTYfgABgKBQKDVIDuB6I+8ETW9V+XLK4JKxPqZ1B81e6ppVJUwVQk1RUqv9Fu2w4hXx7RPVdBUGVNVUtOHKLHx5liN7tU1qLD53VQZU5XUiIqSJVXhVE1TIqPpbrySqOtjddR8q4EcahLVvH66lrpuahavSVsfBe3b9ki/ti62Ft3SVtfNzLLdrqyPzX8rNi/9D4OSOTMx+781VQXL8gSqMhoKYCAQCARaC5kAVlgkybXoS/MLs7xpdSbznObI06S9puqpUjbCZkJSdXXsB7lMBdOoWvWVU1JSc2VqrtQUJ0pMlEx5M66RQiWHZSlxlEhq8IWaLZUcaUCE9wdUwjLE5ghiVbKUCKnKpqZfm7cSU1tPH4msa+dzKfbyyrUtU3t1nPpV2hvR0gAYI4j9Jf34dSsLEjLS683Q+nfTL9d1V25/10NMEcIRBBIIBAKB1oIogEo6NCWIRlhaUEGP/IjalmIWtWtpOfRHdoAp7Yb9cC9nkYbFUrosl2MVi7QzlkJmE1Nwx3qm4IHNRNs2ou1Zou0Zom0X0baHaN9KtO/K52eI9sNE5wmi4yzRcYzovEB0nCY6J4nOGbZ1zhCdM8TCGbZ1zbBtwQzbbpkhrp0l2k8RXbNsu2uG7a+cZvsbptn+5ml2vH2KHW+eYscHptjxY1Ps+PAUO35qih0fbrDjF6fY8bkGO36rwY7fbbDjyw12/lmDnX/YYOd/bbDzPzfY+RcNdv5Vg51/mc/fbrDjf06xc1GDnd0Ndq5vsLPeYOdog50rGuwcarCzv8HOaoOdqxvsXJmf1xvs/FaDnQP5WX+Dnf9Pg20/PsP2X55mx+832PmNBju/3mDn/2qw87EGO/+2wc7HG+z88wY7vjLFtp+aYcfvT7Hzqw12/MYU2391mh1/MsWO35lix29OseOXp9j+mSm2f2yKHR+cYvu7p9n+7im2v3eK7W+dZvsbp9n+4BTbHpxh20PTbPu+GbbdM8O2u2bYdtMM2xbOEJ2zbJs/k9d8Nh8TROc00XmJ6LhMdBwiOg4S7buJjiNE+36i/TmifU/+tuuItqeJtq1MaYY25L8DSy+0wf3NrMh/L5paSFPELGVKAfNEEMBAIBAItBwyARxjkb/viXxtxMx8z0aFuJmzvm3VZqTP1CIrUzJpSmKflKlqpoEL6kdYl/sypUjVPN3GzCuNZT5wXqlS82yZr5vfNcRSt3jfM/VL7Hf9X+3sVTdVzrQPVQjNvKmR02rm1TX0SqzOV1O6aGCKqolqFvZzVvOsN9HbMzW52rpoYu+rKYH67nV3reur6XM0p6PlErT8kPbMfBGHGCbg/83emUdbUlZnfzejgggoigqiUUTRqxHnWWMcojFq1Awa/Uycx0iIOH6KGockGuIQYvxM1BgHBOnue890p749Ad3NzO0GmklAZIYGuqEHuunn+6PqyfnVvtX+m6x13r3WWadO1TtXrVXPeZ6991usWLFixUbNagB4moYSJF+6BgHcyi37oRFMOAAiJzqmH9sUzlMizM77Eyg7gTYpr2YA2ebnRXnU1zwf+s7NoO8MIny9Pn/4vQAUy1COSaWdnHiZhgypwbOTGS+vzzNdy8r6t5MXDzRkrZarAuTLNEx67DZXoZ6DR1yH5wziHSHrtpw424yu63p8TJ49rSGYmsT4Z3DOzw0lW0Yp+3kjUFuW7scAdSlpZ8nf94puBPzTkfeb9n1yoE1hAIsVK1as2GhZDQAXayjxMik0fc/6uMbkxWTX8pZeZshybkD68BFIdtBGF/0bwDFtTPZxIzgctNTJ6Wo8NrJfZMAYuGB20m05h1721dsT65fHzH4Y0TyOcwy4MevnMTAljfujVE8wz/W2P13248vR1233hOCdUb9M/t1X+310mwT/bcE8uZ09rZvnk5NC54jnzAoaTPqcQe3pigIAixUrVqzYCNmDI0KfitAPInRShL5df/8oQv0HhObeHhq8LDR4dmjw/NDgvaGTj3+Cfn78gfru8Ufqq8eP6ePHv1QnHP8y/fnxb9MHP/hBveodx+sP3vkxvfEtx+sLrz5eJ73ieP3T64/XyW8/XiefcLxO/uzx+voP/kZ/+YPv6fPf+6z+5t//Xov+brve+L1f6IXfmdPLv9PXMSev18NPvl6LPrdNi764Wft+bYvivdsUf75L8eZtipffo3jpnYqXbFY8+y7Fk+5UHL1J8Zg7Fb+zSfHITYrD71Q87BbFPjcr4ibFXrcoDrpRsd9Nin1uVbWt3Y2qkg/fUP++QRHX6EF/fKcirlGVQuYyVWzceYq4WBGX1+cvVMQlithQ/95Q/74I3xep8lGz39qGup59Gu3HtlaVT9p5quT3C9TcFu/M+nudhj6Sa+o2zqq/19Xt2Qfu7Hrc9q1cWZ9bU3/c1lmos7a+dlHdH33sLsZ8LsR5H1+kaiu3DXXZixWxvl6/yxRxpapkz79WxHWKuFYRV9efa+t7cXN9D26s7lncXN+r2xQPvlXxgJsVe92qeOgmxUH1PT7yDsVRtyiO2KR4+hbF8+5UvOQu7feVLYpXblW85T7Fa+9RfGaH4mO79ICv361DTr5FDz35Rh148iYVBrBYsWLFio2aIQgky59tLNYFWsjOdOsXvxkZJvFdp6E/Glm2aTUZJUqzfVXSo9k5MlrcZoy+X/Q3zFGtvt7TQgmSyYGZKJkRwOyL/VDeJOPm+lkOzetqaZWypmVKB9HMpD6Xac9M1jT6oJ8b2S/P19Koo7QnU1nPfxblcls5UGhGTRk2R4hb5jXLbB9SP0cOKCKD6/qU8vO98fPgNfD1GcV+v8F6OBDJMrb3jZ5WYQCLFStWrNio2YMjQp+77kP6waa36pe3vlaDO16qi7Y8Udfd/DDdeeMDtPmGB2r79Yukb4V2fziktSH9OqRfhvSZkD4dGuwd0ltC+vOQXhnSu0N6TejKh4R2nriXdEJo99tDuz66SNvfso+2/Z/9tOVVD9R3dr9Lmz56sG5/5yG66cSH6/r/eKRu+NwjdN3njtQ1Jx+lK376eG38xhO08VtP0MbvH6Ozbz1OG39wjDauPEYb1xyjjeuO0SWXHaPL+k/U+VeP6exfPV1rr/td/cvV79IzNp6pj171j/rSVSfqY1f+vU684ot6/8Z/1ss2DvSmjT/R0Rvn9byNc3r8xg06fOM1eszGSxUzO7X39FbFYKfiY/cpnrNd8bGdir+7T/GZnYr/3Kk4Yafiy/cp3nWf4j33KU7YoXjbDsVbdijesEPx2h2Kl+9QvHi74sU7FC/brnjxNsWzdiieu10xtl3xhG2KZ2xTHL1VccRWxZEUUrsFAAAgAElEQVTbFIdtVzxum+Jh2xW/s0PxyG3V54itioduUxy2VfGA7YqDtikO2KY4YKtir22Kg7cp9t+mOGi7YtFWRWxVxPWKRXW5g7cqYlv1OWir4sBtin22Kx66vaq3/zbF4duq34/arjhwq+KYbYrH7lA8cZviIVurz6O3KY6rx/2c7YonbFc8b5viVdsVL7uvmturtyteuV3x1h2Kv9iheNtOxQd2Kj6yQ/HRnYqv36fo198/3KX4r52K03cq/nmXDr34Nzry0it0wAW36aD1t+hB87fqiRsv1Bs3/kxP3HihXr6xq9/duEZ/evmP9PqNv9BTrjxX0ZHeePXP9dFr/0EnXPNlffU3x+tTv/68Trjxy3rytedp3UeP1vfv+Auddvvr9P27/kJzW56nz935aU1tf4lmtr5Qa7Y/VdfcdaQqH9gCAIsVK1as2OhYSxoYsmH0p5pVxej5upmeKcWB96Mcfa9+raF/Fv3KzORkPz5Hn/I3c7iZncrsWx/9nId6XQ0DC7qpfyaLzszfjJpM2IpUhgEunAvnzgTW2dctR++2+S/m6GnuAmIfwI6GzNtc/XulmmN1Gwy4yGP3uJhrkP6fjPZ1QIbnyuTMbYE/9OGcUSWr91XJzvQJPF/DfaN5v+fTXOjz2ZY70mNfo0pG9twn1YxcN/u3RiUKuFixYsWKjZohCnhczf12/WLm7hZTagYMWJK9Vwt3+phQ5fdGiTdH8eZdHrh7xwB95Z0oJlNflkS7NZBgcMdqjJ0BHv49i/kYuMwmYONt1XLQC9OtUHql/Ozkznk3kPF07OuUWL2t23INU5Zk6dx9rlUTrFrqdfStAWAGzzkFDEFsBs75/rkf1+1quG0bnx8CwfUaAjS37RRDU6lOR0O3Awe5ZAmYEeNMJXSRKp/GvoZRz5bJ3d6sKt/J4gNYrFixYsVGy2oA6K3bDBDyFmJmVnyOe+N2VTF9vy2PHCNJCTCWpjoEVgYN3VSP0azd9GmLQp5CHUavkgXLEawdLQRF3BrPgJWgjrtw+LrXjXNvY9UyK8k9knO+QINiRvLm3IRk4pjHj33xuiOQCeq6qf22deuhbB99kWn0Vm0+N57K5+35eH8JNAc4z/uW94PmWthvkuWzH+isig9gsWLFihUbNasB4C/wklyNYzJBzLE3wEu3qyrak2Avp1xxeUu03Is3M2Y5MIOBFGybEjKBlRkul5vD8ZI9ABr/dvuUdPeU0oVJjz027l3rOktbzmXAREaQIJKsZGbkcqoVsm4GUUwlYzDWSXVYz/e3q+b9Zd+5PufPvZ05r4Ga96ivYRLobmqbxwSzBIpMZ8P+OB8yfc6x6L7NiloKLgCwWLFixYqNlqUoYEt4lPaYi4+7XmQZNQOaNrl3oNhLaI8yay+VXYxzZ6eXegZuZJXM+Bk4nYfxkiHMTBjzBZoRy4yiweh4+pB1ylL5OL7pt5ZzDZLVy/nsstzNMfEck2G7XdfNefP66MdgKs83A11L3Rm4ZuDb0cK17abzZ2P+uY7bGqQ+MiD1WmX2d7Jun76JV2hhguqBKnm/SMDFihUrVmy0DD6A9p9iImiCCYIvsnYsRxYrS6j18YuVXt5k2szgMQikq4hdAAlkzzrNtmOJhgyWAcRGvPgpeXK8OZlxJ7XDOZuZytczICXjRzCdWS7WJYg2SJlVE9h5LA4Osc+i69NfknPJgNHtDHDMNDr5HmQ/TbKwlF8H6Rrn6OCanmKve9O8N7S0R/aV68wxkqlEmqBjt6q53dz9GrKBbGNaBQAWK1asWLFRsxoArlPFkMyripzcqCpx8s1V8uQH36p47G2KB92mePTtiqfcXiVdfuYmxYvuVLz8bsUb7qk+r7pX8VfbFO/ZrvjkTsUJUvxfKf55t+J7O/T9De9Q/OA+xbfuV5y+Q/uevkX7D+7Wft3NOnLlVTr67A16zNrL9aj5X+kJ8xv06Iuv1C92/6GecPV6HXvlhXr8VZfod29Yp6Nv2qDH3X6pnnT7RTr2rgv11HvX6ri7ztbjNl+qh9/waz3+pkv1xM0X6V36tp6zY07H7VitF2hGT9dZeoWW6nma1au0RM/dOadn71yuZ2i1jtOZerEmdaQuV7xcesTOq/VCTetFmtILNKMXa1JjWqc36Gd6lRbrOK3WizWpF2lKL9KUnq9ZvUQDje1ep2dppZ6h1Xrq7rV6is7Rk3Sejt19no7TmXri9gv0DK3Wo7ds1FN0jsa0Tk/ZvU5P2nG+nq6zdPS2i/Wk+87XE3ZdpOdrVo/bMa/n7F6u43Smnqxz9Oh7L9Ojbr5Wj7n7Uh1213V66n1rddgNN+nhG29QvFo64Lq7ddiNN+rQ62/RgVffpQMvv0sPu+4GHXL7TXrM1kv1qFuu0SHX3aYH33mTHnrzDTrspht14F236uCbb9FDr7tZh958i4685wodcP3dOuiaO3TIjbfqQTffrsPvulZ7Xb1Dh27+jR547WYdcfeVevjma3TwtbfrAXfcoUM23aR9rtim/a6/R/vdcI/iqvu07033aP9Nm3ToXTfpSTpfB225RQffe6NO0V9q/5vv1D6Xb9P+N2/RyXq/9rrxHu1/491adMNW7XvLZh1w8x1adM127XX9Nu19wz2KC3dr0cbtivkdiv8nLbp8mxat365Yu0tx3i7FYLdi5W7FD6TN3z9AsWKXoiPFxG69aft/Kb4vxf+T4ptSnCLFd6X4Fyni1AIAixUrVqzYSBkkYEeDmvnJkhsDKcbVZJv6dRuu68TPrkMpcyOu97SQ8VmlSv6ljLtdTSmajFM39ZOlaPt75cCSzEAyuIIRzivUlB1zFCrrmE1kwurMgrluDnoxq2iWzEzVKszD0cD+vVrDSGOObZWabKz7dAoXMrsD9Md1M2PJObIOnwnfm8z+UbpeW3+8pmZ1u4qYU+yzG+vC+8N76vJ8ztoCe6YU79id6l+PdhjANKWSBqZYsWLFio2aIQjEYMEyawcvTEZbTuKYL2uWZzQrQaJ3v2jzYXPwBXeH8It9LX5zH+IJfOcgguzDxkjXTrrOaFsCCUuwlH55nfKwAaTXY7GGQNLrStBqsJiDJiCTNvZm9g4WBluTKGdgZ8C2HH1kwJTzGNIvcaDmOmTpl+cpk/dTO/kZGqgCfZdqmNZmDu2epVh0O9Y3g2oGheTxtAWzTCoe/muMw+vne8B0PX0VCbhYsWLFio2agQGkD5r94cj8ZJCTAWJXlQ/eEjUZOkaHEkgx8IBRuFOpPlk19kP2j6lBmEZkGr8HqY5Bl6/Tz45+ZZMo4/Ug0JxoqUP2lL6A/ZayZEIJ1joabn/nOkwaTQDOXIQE5cvTXDNAzv6UnBPvF9lPrjfnyHRBnjN9LemPx7X22jN/IZ85srN5DfO9J9BdpoXPb362XK9IwMWKFStWbLQsMYB8ie6JsfKLPUf89tI5A0EGJZANzDIp5UKzNG35+xhw0t1DfSYI7qZ2GOHrvnx8Btrv43wn/e6rCT4mcNwWIcs6OeqZwGwi9c/59lKdPuqQRXWuu46aYJjgm+xsm3QOqX/freibQRoTimfuUvM54Xp63l4XJgLnc8RcjRmYMw2On8sMLAkIuW5Zqs/PKOXhIgEXK1asWLHRshoAnp5epG1MV5Z5GQ1KFokScEfN3HOsS2Yr+wnmtggYySi2ydU5yrbNTzD32QamMjO5RE2wRNBEdjEzi5Qh6dtG9o8Ar4PjLtom8OX6M8fiAH1n3022RxBPHz7eT7KYXMu2RM157BOpjbY0LvQj5bgI5gnqOql9jyE/l233x+vnNfJaWrb+maIAwGLFihUrNkKWgkD44sx+V2S9KOuRoaLPGEFQr+WTHffpZ9jGvvEcZdbMopHBIrNGwJB36GCAQwbBBBGWKzkObuFGAOW1YcDBnnLZDVLfZEH7qqTTXMfjHmi41VkGZBnoMtCDu6owbQ+l0uxrN0h9j6d2M5DnXMzktcn7ZJIJogkQyUK6/wyiGYwymfpgP+7L/Z2mKACwWLFixYqNkNUAcLmqvVNXKuKs+ntNDSzmVCXVXaZhQMJs/XtF/eE+uN5/1uCHe7DSqd9+Wi7nlzJf8s51N4VPG9PD6wSGjOYlWBuk+r3UZo5QNoCgbNwmx+ZrnXQ9S485SIZgcjpdy31Pp/4tpTKvH2VVtzWR+srjdf++L55DZiBdLq9VjohmIEiWt7k2lGZ97DkSSPI+Zn/BKfTj524c19gn91wuQSDFihUrVmy0DImgGQFsQMQXOFkwAoYZNdkksitZ1vMxARWZJQKHNqA3SO2T5enjN8GDgeQM+nA7U/V5R94apM6oCXgNentoiylbHN08h35dbk7DaN7lGiZ2nsJ5A+1lOF5R159FG8vR5jJV6V7m6vOTGkbXuj7bX4E5zda/5+o2pvFxvy47o+GWaW5nCu36+qyGe+8a8DOZ9Yyafwzm1PzDwD8Qk+m819rrepmaz0D+kzBAf37elqkJ+vzczinip4oCAIsVK1as2AgZJOC2nS0sm/nFTDm3llkXna8mM2RWyy9f5vMjk0XmqI+y4+i3h/OZseql9jOj5DH0U/88ziwhpUszR5zbeLqeo2opPxPAel0YPEPfwByYwHZyChaybHvyGyRbmP3oOAfukNIWsdxDW5Rh25jQvC45oCP763FeZ6T7lp/DvK5kNMdV+Zn6uaFE7PI57yFl+p5KEEixYsWKFRs1qwHgGRqmTSHTRh8q55Zj0MO4Yv/NCcgsrttyeabwmERdAhaCiLbACLOFi1GHn1yHoCcHj2QglP3Csv9fBp05WILrxQhbysyeex6jAUxbsmX67xkYIzq3IYVOpr666TclZwZE7Gn/X67pQAvXIYP4vGYEWgSnGfhl/9B+6pNBG2SgeQ+YVNzzYf2+huxv2/NRAGCxYsWKFRs9QxoYy2SUgvlCnk4v4PpFe9CdCaz4pb8M58yyzagZ3WvWprOw3f+WhikjL8WLnmyXGSazmB7PKgCOHCFMUNXGNDL4hcCRDBLny3nmCFWOsYPrji722MkqZsDDSF6yeC6b5XDeky7qsh3OKV/jnNr8J7v1/WCS6wzEuQ4et/8cMKrX5bwW2S+SYJVBKW1saleVDyvdFM7RwkAXS8F9lTyAxYoVK1Zs1AwSsP2y+vgwkIMAB6Bin6vwwudL24CGEvBVGvqPMVKXsib776nyOSNgYR3KoMz953Ib1QRUHhMTPmdWKsudbecyc7ckgR5GnbpsDpjwObJkBlsG25Qpx9F2H32TWcyR3PaJy5HVvmZARubMfdEXNEvrHvukmtv2uQ7vvesw999GrBcZOt+H2TRWBnIQvLs+A14mFQffijn2VW0lyN/5GSsMYLFixYoVGy1DEIgTCDOAwy91AisCmwlV27RNpJeqZbu0o8T+NwJwTLbU80uaMuN6gJAerhMsuh+P3+zhjRoyP2SIzJa5DqXGWZQjo+W5Z98/MmBZxqQUyS3l+jhmuhiOz7K714T+jIz2XVUfM2CFfpQEigS5HD/X064AZP0YmUugSjaQDHCW8LuqGGGX26ZmsM5taRyUj73uWc4mYOw3r39QKNNXte8wWcKcXLswgMWKFStWbLQMiaAppeXcf2vU9LMyODDQaJOAKYHWAGbRr1GW4MCgkcDK5TagDNm8LAUTnHoc16o9mrmf6mU/thxt7HXwNQZzMHddDgph2zMo6/Uh2HPEb1/DSFhvj7ZMw4hjM2Fn1m2vRpkMwinhkv1iwAZ95ryG3A2GzGEntc155ohtPj8zqlIJud49KDOniJ1a+MyR+fQ6/7ZdUgAoP08AOKkKcBJguh//mSgAsFixYsWKjZbBB3C8fklTuiPjQzkvM3YECDn6E8EXR0lN+ZCRmhMapuqApLf3bi2UIC1tLsY4KVUaPKxEPcqE2c+MjCP91SbVBBeUP7kerNNrqcNxdXCekcFcU7dtgEL5lPP1WPqp73E158rt4cwkLtXCeTPy2G2ShSMQH08fSuG5nb4qMJtZZMvdV6M/1stBMP30m+M3yO0qDr0vjX2Fmr6kZHN7KnkAixUrVqzYqFkNAE/VUKbLDA6ZLAYwUFrNbB5BHYDZy6SFDKBf9F1Vzvp8mXcUDxIAwYSGgSQul4NGfH5CVVLrLsbBQBCOl+c9lj3JpZntorTcFrgw1dJWD30w/c4c1sd5+nqpDY9jTk3Z22ObUwXuchJl9tND3wTIBslZ1iaIdT2vGRlQluE9Wq0K5HVVMZfM+3eOYq8tajJ8vne5LYNZAt4MsFcpfm+nmrK2ZXKmz+F8CwNYrFixYsVGyyAB2/eLDBLlQgKQiXQ+S8eZqapZrMO3q8nw0A+vr4gL1ZSUJxV736emD5glSqZsMVNGlm1cQwCVQRfr+jelXwMfRpOS4SMgoVyadz/pq2LFPJ/x1EfOVcdExstVAfKemomnPR6DGu+Wsqq+tqq+7jQ8efcURkpTGncZsq2UWjPgI8CbVXOdOMeBKj/RTXU767E2fUX8SlWQRl7/S7E+HFcG3wTxE4o4R3HUvfVvr9t0S32v30CFASxWrFixYqNmNQD8KV6QOVKV7I5BA+XPLPemKOFGWxcA+JCZ8+85tOmX/HVqAktKlgP9xYU/VhPI5bERuPkcmTMCPrdzRn19pZoME2VFn2OADIMlKHX6N1kuStluzztU9DXcWcOBEtypxNcpU6+qx76uHs/q+vpK9ElJNSdmJqjjJyeKzkE6/kykNlnnIkXcXV+/FPekryoy/NdYJ6/lFWoyytPoO0vEfG7PV8Qlaaxccz8jq9D+zxQFABYrVqxYsREyRAGbrWFuNYIz/yaw6qJON7WBZNH/Xd97s1JyJYPI/W8NMpgzjmwb/cU4Bre3FPXynAho3UZmv8wgZVDMQAiuB9fK4I/lulo4hk7qlylyZtAO2TeCT8q4q1DPgSL+zftB5oxMLhk73hfKxLxvbSyc15EAzwymU7+swX3sK+Lc+h4PVPl0elxr1HwWyDxyPeiS0NGQOe2mfshKG1R7DiUNTLFixYoVGy3DTiBkbMySmG3paOjgT1aIaVLI3P02nzoGTZDVo59fN7XJlzjrc7cKAinKqwR7WQrua+HYWcfgYnHqy30z+TTHRnDLSGWCkMy4ZXDWR9ncnts0mHYaGLNdZEMn63tH+Zmgm6A3z5FrQpBsBnVcw91ZfK3tPmbGkutups7z8DpOqbmmfD4J3vstfZN1JXD2eMi8Tqr4ABYrVqxYsVEzRAH300vU4IcvfsqhDHDIOzjQjzAHfGTJlXKhX865vEFZ236+GaR4TNl3j/1mcMioUo6fa5Ln11f7mhjQUBLnHHOE7WKU8zmmbCHYy/OZSOU4b65PVwvvBcE67wWBIuvkKFzeS0YBZ8BmNtLsLsdMUO7nLafs4f3J4I5/QvinhW0yYpttDlSxxH1F/ERRAGCxYsWKFRshS3kAM0DLUhslS4K3vFcr2aUl+E22j+zhYg392ygx9+uX9Hhqs5vKGDxkGZZs10RLOwQFmSmklO3f9C9k3UFqJ/tDEqASnLAMQSLXPANW+jSSEVuKNcjMYyd9KOsbpBH4E3h10B/9PwneuKsI8zn2UI8gkiAvs5FkG/kscR5ce0rPuT2y1R6n++enMIDFihUrVmy07MERoQN+7zd64HPu0d7Pv0/7Pn+b9nrWfYpjdyseL8WT7tPex96neMwWxSM2K46+X/HYuxVHbKnOHX634vCbFY+4TfGwGxSHXqs49HbFIb9SHLxR8aDLFQ+6SvGAqxQPvFqx3yWK/dYr9l2v2GdesWiDYq+Nir3WK/a+QBHnKBZdqCpg5AJVkcHnKOK8+vh8VYEO61VFl55bXz9HVeqQs1TlMzxPlR/ZOlUBEbP195n199n191n1uRUaBl6YsVpdn19WX1uJdpbX1+xzt1LDII6Zuv5MXW4Oxz4/iX78e4C6U/j28XQqZ4Bjls2sn8fha0w2zbKTaDePey6N0W3Zd24abTughn1OpXYH+D2V6lvCriTiR/792Zib+/LHQM7tdNC/pebl9WcGn9n6Ps5pmEjb96/4ABYrVqxYsdEy7AVs4MDAjuzbRT87MkNZ5jUbY9aK0pz7Waoh60MGhywZJUjLpZQLe+ljBmiAT2aI8ocSa/Y/zPMhY5f90LKsnXc2yf58XCOOh/2zP4M/X1+ioZQ5SNfcTk4BM1DbGjz2F+ehjAEZ15/z3dMuIV4rgjFGONO9wOue08Xk8Q3QLllK3heytv09tDed7r/naDBb0sAUK1asWLHRMgSBcB/dLG9mMNPmv8doWP8mOFiS6mSAlUFSm7RK/y6OgWNl/SwbZvkz1zUwyaCOwNdr4DYcrJCBMcFlL7VPQNVRO7Ch/yDXnGvA+0LwkyVYSr+dlrKUl9sAPtvIcnm+B3mtuXb5T0K+V93UZi9do2Sd/2T4+ZlW81nKfww8d2+7N6kqDVIBgMWKFStWbHQMDCB9pPjSNJOTmRZLfmR2DBj8Erb/1xkaRoAyJ18+zk78GYgxUIL+f2ybbRqEEIhxCzrW7ajpm+Y0Mgw0YH+8Tt88Mnrcfi6DSbKOGRBn30GyqB5vXp+2fnLQSie1689E+m2wlMfLNnOUMIEhASh9HBen80NQPfjUQWlN2uZD4EqG0PeOASx8bjK4zcxoYQCLFStWrNho2YMjQv96/Zv1T7d/SN/a9D596eZPaHr9K/Spy0/SiVf+nU646iv62a1/rPdd8i29f8M3ddKln9KJ81/Shy/4hr6x4cP6s/kf6S3r/ktvPfcHetm6Sf3Jmh/rz9f8UM9cfaaOO+tsHbNyXketukJPWXmeHr/iEh00c5vi5zv1wP6demD/TsV771Ocslvxrfu17xmbFV+4X/G1+vOxXYoP71B8aIfiXdsV79umeOMOxeu2K161TfG6HYo/vFfxonsVL9mqOG6r4llbFE/Zpjh6i2L/zYrD71E8bEv1/agtisM2Kw7dXH0/+G7FAVsU+9+jiLsVB26uvve6t/qO21X5Ed5a/75bEXco4s762q2K+E39fUv9fYMirlfEtaoSEt+oiGsUcbmqpNZXK+Ky+nO1Iq6sr11aH29UlRz5AlV+jpfV5y6sr5+nyu9xvYY+kv62P+S5Gu7AcX5dZ60qf8gL6+8LVCVoXtty/SJVPnIuc64qn8lz1PTJvLiuc17dz5r6c4GGfpgX4NzFdT8X17/pv+k5nVt/7PM5X6/juYrYUJeZx/Wz8XtDvVbn1x+u35WqkktfXrd3dX18rYoPYLFixYoVGzVDFLDlMzMrlNkuVZMRrKXifaTmThFmg67TQgmO7WYm0W3k1C5M/dLHsZkoRqSe1dJnW6495rjrpn5nNPRNow8ZJWIyaB7TjBaOMbOnmXni2BioQbnYLGuOUDbLavl0MrVj1tK+bmTKuOaWwxng4bHRF9DSdZvknNeS7VGq9ppxLPQDpCRN1s7z43PEeVBi7uJe+DlYhut5G8HZ+ncBgMWKFStWbLQMEvCUTvrxOwFSxvGSvSy99OvP0UIZXrs1vbAZYMGUIXtKp+IXuMfCqFUCPJ/rq2KUGGTg3SUIYgwS3PZ4an+5hsEUvRogcLcMBkUQiLAt+vxZ0pzRwkCYnA+QQR4GYsvQ/hTquS1GwY63lO2n/vbkm8i1tsScZXLem0k1pWumiSHYdRvcdWOdhq4DbsfXnMqGqVs8XvoqEphPqOlDuQJl+6rYV/7hcGS1wf6UigRcrFixYsVGzVIUsFkjsmUDVfKaX7jwXztMagYoGChdq6afHsGXGS2yOIz2JaBkZGsGA710fR599GsgwH4NFhzpnPPk9VWlcvEamD2i/yP78/qc8d/j/YPnfznN18BkNtWhr6HnM9AQ8K3GN3PXkWVdgfOr1AS9cxqCu5wPz6CL7Cr3M2aQRY5QJmtIX82cezEHsCzHuO/GeTOZZApzwE0bg+s+vZbwj9zvGjXXeWsaq8/PavicFQawWLFixYqNlgEAEviZafELc7maLEv9ecAdeJlPoO4FLaBhgHKUAik3DhSvulELASCBSA5+8JjXof2BKt8wjLUByHxM9sgAjIAzS5ecJ9kwBkQMVEU8M+p3mZpSZk8LAZeBG8ErxzOT+nVOwul6rv36e1Bfcx0DPDJ4ObKYsrjnzuhkz6ObvgnWGPhhUO+6llr7ir12q8n2rkrt5YAiBvQQ0GaAW4/xyXdhLNOK2Inxm2n1M2fWtUQBFytWrFix0TJsBZcjO/kSZ+oWMEKLzkI9yoVzKEfg0RbV65d1Tt3Bvi0zkj0zk2dZ2VuNOdL0Yi1kqyxvWiY14HBfHrfLUKKkpNtHfQJTSqmc0xzOu8wgHRuwOXijqwrIOWHytJqAdW39mVAV8NCrv6fq8z1VwRcZ/OWE0W1yMfP4eY4Gr04QzbQ/bLOfjidUBZLUcvozhOvTqgI5COY9V9/vnJaH93CQzo8r3rMLfU8rnmU/VfpXEtwXBrBYsWLFio2egQFkUAUd9HMKlG465xf0YgCCfmqri7IMgPA3pUUGARB85vx9bYEiZC8H6I8ys8v11GTBCFw4P/srcqs0+vMRYGaQwrHmOt3UPxnCKZTLUuiEFoLIGTVZNdcfoJ2c0sbjzDkIDXpz8EW+Nwyo4X1q83MkIL40zW0Gdcn8ZX/FPvozoKNcX/fxwIvUBHoXpzXO4G+giNMUBQAWK1asWLERMiSCJhjrqpIx/YJkMEQHL9dbE8gxGLwQL3KDH/r5EUTmhL+UJ+nftSeW0IBshaoggiV1297dIoM5Ss9kkCy9EqTOYqwEI+6b7RC0EkyOqxn4MqUKLGf20CxmV0NJd0UCMwSYZ6KPNXV7q+tzDoRoC4BhkAsBWg5SyQCb9ygzdp5LnpPXG8zqPrvUBJBmPbNfn5+rXuqbYxzHtbrs427RcMeYniLub5kHGd2+igRcrFixYsVGzSABM1KXYIOAixGnjlL1i9sgj2k2MtNEdjAn+nWZXiqTgxEIGnmd7JODTT4b2FcAACAASURBVHIiYQc75DoGEIw+9VzIjOXxkkHzmClZ08eun8obSFE+5f68ZuDoF8e0KQysmK37Wa6hnxtlcoJtMl/Z14/BNUygneVegnPX76q5RowcZmLw7WmtlqW+8332PSAQJyPtta7bP4gR6JOqACBdG/jxc1WigIsVK1as2GhZDQBPSy9Vf2eg1U0vTpbLKVwIrLLkSjDItCZk2JaiH7KDHFcX5wlmCCjNZk6g37Z2OqlOJ50ngCIQ47kslRr8Ue7l+nCNOFeObYkWMnd5vafr89zz1m0wjU03tZ3vV2b/MpglO0qJNrN1Bmv0n/R4L05zJsA0aOR6MyDJ9fpa+HzVYHqvS9HOQFVAUpt87fkNVABgsWLFihUbNasB4Kl4kRNA0dk/gzSCiaVqgjeyLAQRE2jDL2nXz7IuGUSCRIK7DDaXqAlCMqNHJpKSNMHGRDrHMbjd7KdGP0ECpAyg2KeBlo8JeBlRzQAI+lIuURN8ESi53mKMi2uYJdrJdJ0AvaPm3JamPvltQMV2ciDHLK63ATq6EpC99Bg4R4+ni7LL1QSMs1jzSRzzuf6JogDAYsWKFSs2QoadQAhKCFrIEmUfOO4WkcENWbkMLLM/XwYu+bfP+bxZNaZVcb9LUh8OFGBAxHjq123uSYYmCM2gk2DKex47QGOwh7bcd/bHo8yZz1P6ZJ/d9NvjX4K6bjfn8SPIIiDK8j3HMZ76y78z0MxgOLOOvVS2DawRjDvNDtd1KdrNu4ZQBieA5jNaooCLFStWrNhoGSRgvvgJogwcKPP5BbpCTbaFoIVMU2Z5MhCilMegAsp0BAhk2nKUKCXSDGR5ve0z3OHiASfeBYDBceaI3japvK0cmTUCWvrXZdDssktSH9mPMa8Ld+HopH7IVhLAUfIm6CLz2bZ2ZCEZOEJgxzHmceR2CbTbgk/2tE4MIGGdXNfPrscxpQIAixUrVqzYqFnaCYTO8QQHU3hh4gW7t3f8yDtJeOcLv4hzDja+hA0SyByRLcogrtvSTgYrHQ23+ppAnZzKxdGiBkr0b8ysE6+RqSN4mkCdzIKS/SKrRlaVbFwbiOUYMztJxo5yNxlC34tuKjOe6jKJNVlX9sGxEtQR7I6rigAmO5wZwz6u5/tACd31F6f6nIvZV/fvhNwMUOH6u6/iA1isWLFixUbLagDIlyp37jCI4VZmABOH35NAiEHBmvqc/bMsFxuAEGQQTJEZ7LT0yXQrZLKynNxRFV3q9pyjMINN9sHjNnCVWT0ydAZqZvUYBZ19FVmWsu4ErnMrtuyb2UltTrb0nyXufqqTJXVKpq7rtV6c2uujbhd1JlrKZLaN7BxBHZ87rgmvEyTzvnCtDTi57gR+XstJNZ+XAgCLFStWrNhoGXwAJ/HSpcw2pYX799Yv1yfuVpN98vE5qS1LbWTQ3D7luT6uZ1nZL3MCDNdbqsr5n0BhA9oggMqsIlmhKS0cD+VmnstyNqVQgmf/9jfb67b0h23x/ptdJQvp8t4xw+32UMfzZVJnAth8DwZos4PjPD62QyDq8pTA/XuAtvqKuAL3qK8qZyTHm8FmBugZvPO7o3jyLWns52mh1Mz8jwUAFitWrFix0bMaAP4cL1oyXFmWJJu0uKUOP+PpJesdH8Zb+snsHwECpcNfagiIKF+yL0rZbfPZE6uXfeymfksdypJZAjVozn52bevKsed2vC5Zdu2n8xxbZs9ynwR8ZFrph5jbzPdzPH24bjzncS5Rc0u5XkudNumaMrKZTq4b55tdBFg3s6Ft0vGpigIAixUrVqzY/wL7VEScExFnR8SPI2KfiHhNRKyNiJURMRERB9dlnxURZ0bEioiYjYij6vO/ExFzEbEqIlZHxHEt/YAB9Aub0Z6Wgrvphevfs2q+uM26ZOaup4hfo32zPVkGJVvWVcQqAJQsB1PubJMOnWC4r+FOJxnkkBWi9JllzMwGkpUiQKYs2Qb6MhPVRX2ylSxDn7rMknZTuwx4MGgiaOQ9dtqZDtp2+75G0Mn1obTr+pnZ7Ke+Kftnn0jOvYf+s0/lAP25XGYhZ3G9iz65jlzfngoDWKxYsWLF/jfYCyLioojYq/59ekR8KCJuiIjH1Oc+FxHfrI8viYjn18fviIjx+rgXEX9eH784Ii5u6QtBIPaZIxtEf7Y2kLFcTaaoq2FOPwaFTCr2ulNN+a4N2GWp9jIAlswKEQASkHmca9AH06GQGSTAy8wc+8u+aJnJyn5xlGG5DgbUmb3Ka2B/OcvyBjdca4LlnOIk+yAS5FE2df9J2t+j3E35l+PIfxrYxqSGO5Rwh5GuqmdujZrrZSmebXqcZ6DtzKb63GrU4X1vA6o+VwBgsWLFihX7n7dFEXEgfn83Ij4RFZNnOzoirowKEP4a5/eLiHuiYgy3RsS+uHZ9RByR+gIA9D6y9JPLkip/L1bF0JER8of74NZA4pDtakqP/nBrMb/wp+vvbeg3s3wEGg4yIXi8XEPg5OTFZDUzgMtgcQrlMuNFIEjQ3CaZZhmb4MvbwPFcX1UggxnMZaoAFNnElSjLgIZJtEuZOEvsBJyTLXUpqRM0ZrA7ns73Ut2eqmfk1/Vanon2e4o4VxG3oR2v/7ko003XCW5zZPKcIn6V5soIddeZVjNhdUkDU6xYsWLF/nfZ0VEBvE9FxGk4f2BEbIuI50UlFdNujYhH1d+0cyPiuekcAKB3TMjRm/SFI8hzgAJBU2alEJTwyJ1o320TKJDhqsst2tYCYPqpfh6bwck82vZYFmsh2NpTkAnb47jbJNXcP8dlcJVTq/Rxbrpef0uYyzQE18tV5Vu0tDmnYcCLgZ5T3iyr+51L4/FWcQRNvubcefzdxXEnfRs45fVqA5YdRaxTBeQHiliPsfYVcb3iwG0o73Yuw7qzbYJlMsY+PkfxyBtSezNaKPevxFgnVHwAixUrVqzY/yZ7WlQs3+9HxFujCQAfFBXD97yogB3ttoh4ZP1NOy8inpPOpShgsiIGADlFCwFO3mWBchw/E6qYHrNMTmxscOI+KNH1FHGVmjJmDixxn2fguuueDRDRxlS1Abs2mZb1yRx6TRht6zWkvJjBJdePkq9T7UypAnjL6vorahAzqyGYPCu16z6X178N2gncKNd6rbOUS0aQrCLlZH5zrmQXuffvGkXsqI83aPjM1Pd3v3tS3Z4q9pZrR7BM4EeJuKuIcxRH3KCh7DxQM2jI0vqsms/tzxQFABYrVqxYsf8FdlxEXB4Rz65/vygizsL1YyNiY1SS7g04f0BEbIlKCr63/rbdHBGPSP3UAPAPFfFGRbxBEV9UU3LzS9PnzgCIoI8YJVWDAwKvlWiTIKLNj8vfU2qOw4wjpdwMTl12GmOkTNhBGx7/Ulyn/9+4mkmwyRj21BxblioZNctvjimDQQIdAzmDLAJlA7teap8JtwnoyJrmOpnBI+vJ+8d7bvDPHHsGVFyXviJW6cEv/XVd9nwNWcq+KqbvLjUBoJnCDAp5b33ezKbHtkax11UaSucG1K7j+7lcEV9WxJsU8XpFvFZRAGCxYsWKFfsftgOiAndPwbl9I+K6qCThiIivRsTX6uMLIuIl9fH7I+LU+nhxRLyzPn51VBHE2WoAeGoCJPSZyqk9DAjouE9QQpmTsq7TwEyi7lK0mVm1LKF2fkvfBCtm1AwMMvPWTe2bIcuBLxwHJe5+Sz+sy8ADRkgTgDEfYE8L18BjysCRQSUE05RuO2quh/vh9nBk7SZTvez3x7kzujbXyfW8fqtVMZaWmpmbcFYVU5vXdVYL72sGgPkZM+hboybgawPcfp68xiUIpFixYsWK/c/be6KSb+ciYnn9/emI+L2IWBNVGpjTYhgo8rSo0rysjIh+RBxenz8yImaiCh6Zi4gntfQFCTin8ciBCxkIZAaPzBnB13g6xzptIJMyLyNXswzJ4AtGn/qYvnb9VC6DtxyEQKaLDNmeyuV5tAWEEDwRYBN0E0S6LQIryup9XCODyLV20ERPTbBIkO81W4I1Y988R5aW821bd4L7zObxObFPIOfBe+L2sp/pYszR62bWlCwhgSR9FxlxXHwAixUrVqzYaFkNAH+BF3x+aTJog8ybX+QTeLFmuZBsGJm13KbBhCVMfghqDBAs2XZTuf4e6lL6XKImeOqlMgShbb5mS7QQ/BBcjrfUyWxgBrKd9J3H5nKDlnby/aD/IufBNchSahtAY9AEWc42Rm5czdyB4xr62fEekOXL8q5/52jvPC+DQfqFLlETNHLt3U7+Y8PnrjCAxYoVK1ZstCxJwHwZt8mT9sMz6HDkcNuLnbJoT5UUmJm0HNxBoNJT5TfYxlhlv0G+9N33Wel6m98d5VKym1naJBihdDiB31mGplTL5NaWgCkDM+WMfQ4d6TuroXQ6rooxW6FmcAb3WfZcc8Ss2267rwwa8XwHLfU59iydEwiTXT1HEb+p+zhPVXSzgfIlir12p3XtqUoDkwFglsnzc1D5G8YLd2sYGDOpKiI6z8MBIv5dAGCxYsWKFRstAwCkxEf2K8usPQ23geuryXqRZVqsYcCIgUybXEwASNmSflyTOHZUJ2VBsmNuk8EbWV5m204u3MdxL333NWQOKQsvQZ9kQik/ezxLsb65vIHPUsx1Cn1zDAThmTHNfn3j+J2Z1V7L9TYG12O0pDue6vpcZvscfLJCVTR3RxXw4rzOUcSWtK4Gv+4zM7O+9wTAfhZWKB6+CeOa0DBQhH8CGDxSGMBixYoVKzZ6BgBIWdYAgDs3OIde9p3jy3ugJvCgRGzfLDJtBCaTOJ8DCwj2yNAxNUhm+AhkPDZKpvRZM2CgtJz9/QwgDMJyP6yTWUPKlmRYeY7RyJSI++iLgJLrSMZ1PNXNQL5N9iV7x3Vx/czuEShmn8b8vPg5MvCi3+GUKpaXfz4Y2MH5ZdmbbDXB6Jp0v1ifwJd/BEoi6GLFihUrNlpWA8DT1JREKQcTJBH0EVS0+QkuSW26XAZZWRbODvvZX8vnKcFyrARHBLOUmHmNEmYGHAQRGeB5dxHKkuPpODOoGcBSxiaQ7qX2uqgzpSYIy5Io1zu3Oa7mOue2ec8m8OFYuSaUz7upLu9BXnu2wzyGGZTyueDaEgQTFPZVSeR5Bxe360AX3vuuShBIsWLFihUbNUtBIL300p1ML1BfI2ixb1r9OXR7ejnT54xMDv3h2l7WOUqVLA4BoUElAVfOQdgGzNgO5WWylmQh25JAZwkyy8fZj/CMNO4sgzugoa+FY5tF+QyGyPhxffndJvGOpw/nm8cxSH37/jNljqVfy/+cIxk7StxdDRN5837zHMEmZeu8jmSac3+MGCZj2FORgIsVK1as2KgZJOBJvCgJzuxHReDUtn/tVHqxUs7taJjbjewV+yFj5HEsQx36dVGuzJJtm9xLwJoDFSbSsaXpzH5mho/SNJmvLD1TGifjR/+6DHwJXAhyJtBelmvJqhHskW3Mki7BaR/9ENCy7+yTyHbN7GZfyNz+QAufA6/rEg2fObLKBHlkeckicw0z8G5bC96zAgCLFStWrNhoGfYCtmM85d02PzC+OJ3qIwc3ZLapo9j7Kg2d9wksch32vy4BFTNOlBHpH+d2BhpupUbpkr5h7KeN1cuSLQEdwVEGpVl+zr6LZAoJWv3JARuD1Bfb8IfsXF9NwMZ1NltKeTePgfeCADr7BRIoZx9GrseEhkErXC/+cSDzx/XJwJ5M8FI115x+hfl5yOC7lz5FAi5WrFixYqNlAICOvDQAmcRvMj4ECKvwUp5CPctwBFfb0LZf2JTy2Jfr3KgmWzhQc99fStRmGN3nRhwTQGYw1UdbmbmipPjbAFgGnwQllLAJjAc4b9++gSoftj7mw3FyfXlfmCOvTSJmhDRBN/fJNavLKGv67k1qGPVM376+qucn+0lSql2lJvD2de/ckRm8zCz31Bw/mcUsYfM5IKj376Vq3udxlb2AixUrVqzYqFkFAN9/t+JkKd4jxYn15wQpPivFl6X4Tn38H1K8V4p/lOKtUvxAilOk+If6+klSfFeKf5XiG3XdH0rxL9L7d52s+LEUX6rP/acUv6i//6lu6z+k+L6qsfxMOnbneYpTpVgsxberc/Gdqr2YluI0Kf69rnNq3c5PpFgi7X3jPYo/rY7jR6r6/oUUk1J8ra47Xbf1w7qdH0pxet3XF6R4sRQfkOKrUnyrrjNeHy+V4r+k+Hld75dSdOoyi3H+p3W/p9Rt/7iex6n18b/vrtr6Jyn+rW7nDCk691fjPrVu48f1dffpdf5mPb8f1mv4JSkefL7i9VJ8XopPSPH3UnxFii9K8Zl6bp+X4uNS/HH9/UEp/rq+/nEp3i/Fh6T4q/rzbineXpd7nxRvrp+BP6i//6z+fpcUf1Sf/30pPlLfz9dJ8ZeqxvUqKY67X/EZ6eE/+Y3iZbsVz96heO52xdPuU3x4l+LFWxXP3K54xrbq/Ng9imPqzzPuUTz7XsWTNiset1lxzGbFY+9WPHOrDv3QjYrH3Kl45J2KJ2xSPPYOxcM2KR6ySXHU3YqH31Z9DrlDcdAdiv3vUIkCLlasWLFio2ZgAFeAnaKfG/Ot5QCH5Wr6k9H/LvnAHbw9MTGW9SbxIVs1oYhbwOyQIWpz5s+JizdoKGOSGaQETb80SsrZJ47+j2T6uuiXcillYSYc9roxSMXjmdIwD+CkKkl+oi47i37MElLi9Xgn1Rw771X2dWTS53F8Z6naPnnjOE95liynI3p9bwb1PNZoyKZS4p5TxFo1n7luXccRydMaRlznZyFL04O6TTKzlId5zygHFx/AYsWKFSs2WlYDwDNUgTkCPcuBfrGOp+vdug53qTCooDRbg8pH3dfyEqf05x0meP5e9J0jkvvo1/WnNJRSrwNAsQ+a59PRQtDEdgmAXYdghx9Kpm0BFeOpDUq/BK9eS/svrkL7TFw8VYMcz5dgbgZlKJ0TXBvoEZgS1HKNuUOJ1991nSOSa8lAIMq/19Z11qJOXxHnq0oEzfWfUMSZac0pnfdwjZHB/XpdrkY7HlM31TG49vNTGMBixYoVKzZaVgPA0zX0PesrHrsVL1eDB+/+0VHEeg39rcikZNYJYGu/u3GeYIrMT06/coOaLFtbAAUBkBmyrqrtxDgGBh64Pv3cciBLDlggQ8Y5dlCfx0xd4rr91J9Bklkvg7eBqq3zHD1tBtAgz9vcsW5XQ6A5mfohADSQYhoWRuQyEKfb8jv/EeA9NMjqoe/zFHF7fW1tPX7fp8sUe+/SMGm01+yCdD9575nChr6YE4pYozjqTjWZUAJA359Vaj4LP1EUAFisWLFixUbIIAGbySIA8ss+R5KSMXJ5AjeCDwOLeQAOt2uwxlyCZHjWagiiDDIsSVLeM3tICXMF2mF/lH0pixo4McqYIIhMFyVQRgXzm0CJfbRFI5N5cyLjOawnAeAAc2OgyHhdl+wqg1fIPlJq5/p4rJS03R7XPK8jGbpxXOuoAuK31scX1mP2M3O54sD78dtg/lL0QbnWa06AR5ZzteLpOzH/nobg2OswqWr3ETK3RQIuVqxYsWKjZUgETQaPQIs+YmSuyML5BbsE9Vm3r0riJCNGUEQAQImZfTHNSAfnyMYRQHbQZmapCN7yeJj2ZAmO2ddES31GyLqM+5xU7LsR/bgc9wcm60hQl+di6TenfiEjSoBEpixHKFPu76e2mCaG94RrSX/B+vob7sd96qtiMg3+V2qYU3JcEecrFm1H+66TwXte1z0xuZOKY3el63NqAlxLwJTwiwRcrFixYsVGy8AAMk+bX5iUUDML5hfqQAu3fcusHevlNt2f03OY8TEgIjAjECVwy1JsZrN6am5BRxma9QgwMoOZ18FrZPlyMrXTSW1xvgScnBvXNYNB98GUL9wzd7EWAuhOqt8m75LZJTBkHYJEBr2QzWwDyD5HwEUAP6XKnYDMrUFZZiV9nANPuJYDxcHXoG2zpLwHvOZ5FgBYrFixYsVGywAAMwuX/a7oA0cHfDJXBEbdVI5gKkujiwFc2iJSyUL5HJkzyphkrjhGgofF6XqbDMo1YLCD6zA61uxnZqoIWvJ6ZBY1s25tbCn99Vgng7TxdEy2jvM08F6C9t0mI5U9rm5qO4Px8ZZjzsdz9vPmYBKCUUrJXA8Dw+wD6nY8tlUtffLYvpJkDgsALFasWLFio2XYCs7ggtKiX+aMtuVL3QBxKcrQ3yyDNoIp+pUR5GQA0SYpt8m5WUakdGqAMYm2xrUQTGTQQfmRDCnHTIl5PH1zPG1gjWtI4EymjWxfXp8MBjsaJssmw9hp+W7bTi5LvbzXBMSTaoIr3gODRz8XLs/oZwK0KTWfG9chw8fnyPfcQUmTaiZ35lqR3eQa+5448KYAwGLFihUrNlqGKOCcv88gITNHXQ3lVKcbySxfZqj8UqYMl1/qWWbOgNE+cwSPHC+ZQYM9Bpd0cZ3jHKR+yGaStSSYI6jluMiikXnMoGcc7ZMtJAvWBiopixO8LlX73DJD5zpLW/rLsjGBb26bwJ2g0eCPfZJlzaxtlo3dD4E3QTafR7oW8Huy5XyeY1/N+1wAYLFixYoVGy1DEAglMYK+7LfHlzm3fCPrlYMYsoxKENPGrPVUsViW9wg0/IKnJMmxkSVr8zujPD2BNj2HnAuPY6jm+NRjx7VwvFwHtpUZxm46x/UlE5Zl6V7qr629LOOzDsczoaEMTraNkbHdlvqZScuBJRO4b21sJQF/vhdZNuc9y2BuXAvzN/LZ9L3JTCDnyeenbAVXrFixYsVGy2oAuFTDfHMz9fecKolsTlViYkdwOknxtKocb1OqInxncX1lamdOVWTnsvrjNlfXx25jGmVm0O6KupzPrUjtrUSbLrsafbsNJ1F2u6ta5utk0rMa7lwxo+Y4luH8FNp2hO60hgzkCrQzjT4cGNFD+5Yll6G9fmrbKW+4e4rb9/l+KpOTaHc13FOYzK/7ysESlFYpr7ue+3AKG/osDlL/k6k9AkiPxdJsZuwG6Zz7N4D2erOffks7HHtPBQAWK1asWLFRs5QHMDNxltwIQOh/txwv1H46pr9YH9/jqbyvkXVibjmzNL6+ONUnC0j2h/J0L9XJO470U/9myxgMwnx0Wa7so00yZ1xHsmR5zbju9KHroX3PYzKVJxAyO7ZMQ5A3gTocF9vw/Mj6UlrP65Yla7bDNWDuQtbnM0SmjmPmmvZb+uYaEsR6RxXeO5fxxwB/pi5b8gAWK1asWLHRMkjAZKSYFJoAxoyTJbuLAVgYNOIXPqVZvvizTGkGi/JflnPZD2VF+hBSJl6b+qBEPFAFegl2ssSYZds2qZlyKCXJfmpnEm1THp9s6bub2qZE6zGQmetomH9xCa57+zjKtm0yOf3seL6LOhwbffPyGmU/R5/zeM9QE7DST5NBJQw84ZpyDdqu9VL7+c8B+7ELw7gKACxWrFixYqNmYAApFZKF6qtiS3wOPlX734vyZP68jy0ZGCcAJjOUpUKCJLM12V+QgItskHfL8JgvxdgYiJLnZ59CAyeyW2S5uAMJWTGX77f0Y2ZtKpXJzJ0/llHzdQZYcH/mlWiP7KBBTt41JTOWGQCT6eykOr5P7I/n2e9E+s0/DstRvqdhnr78B8HScfZNZZQ2Ab7HsTyd5/zcZ2ZRCwAsVqxYsWKjZTUAXJLARR+/p1T50+Wo247ih8JL9Qy88G/Deb98Da4IushQZYd/j8FMDSW8LAV2Ve0fS8n1/lSe1yix0jdsOdqmtJjZQYJTR54SaJjdc71VqRyldPsyzqjyL1xZj2NOw23fCG6X1/XXqfLBXFp/T6raI9iMqkFxP9WnbyH9CXkPeO8o47b5ExLQEiASYOP4yF11uTpyed9fpXtJFpoyLiOW+QwQ7A601ws2pfFfiev8U2IgWHYCKVasWLFio2dgAOnnRdZmRhFr8PIE2HmMASClv14NThjJSiC4SgtlPLJglHHtv8Zo45kEVDxObh9mBpD5/rLfIfswkGCCYEYEsx4BRz9dJ7vJOm43R0oTiFEK9/dkapPnDBQnNQwamVNzrS3rT2oI0ClPu21L/r7usUylvild874xlx/Xxuf8/HQUsRt1lyliI9okiHZbWeLvqglCU0qaF96v6lnw+U1qJpDuYL3c308VBQAWK1asWLERshoA2jfLgIEM1qQiztSQoQH79aCdWgiMOqoAIJkbs2LZB5CsUWYFDUImhv01mCKXs7S3rG7PiYRXo/0pHBOsea70RcxglPIpU9ZYXiULSZ86+j4yCCJLpgxM8LHnwkAWMl9mAuc0jHy1vEp2ktIzWdW8BgZ09IszkLOPocGnx9JN7f022RUM5L7CvMzc+jj/+WA/lpBZjixu/Uy95n4NgzumFPvsVjMymvfXz92pigIAixUrVqzYCFkNAP0izIxUfnGaJfPvDS0vY0uO9tFipChBolm2rhaCqMwu8RzzAjIggTuRtAEyAzamDGHgAfPkub2uhlHHlDohgzcAXQaZ9B8kcCL46qdjrx99I1neQMupZsjIWfKdUnNMnBvXNQedcLz0rSNg91z2JAO3sbp8Zu6uv83YzqV143M33dIm17FlDY+9A+OcVITQFmVpytkFABYrVqxYsdGyGgCeBkCxFC9JvsBzmphODTjaomIHqWxm2cjmZdaPkbM5sMDS5dKWcwQs7Nf1l6BtAtbx1K9B33gq00V7DAbJu1n0VTGqOZo4g2QCTUZZZyDFQA3OlW2wfcri/s1I2Alc59h6qY6jdz3fPFeC5zPUBIG81ldzveYxX8ruXj/Ph3OhO0Few/RcLroY45hSJQHT95I5Gv3novgAFitWrFix0TIwgPYhm8UL1EmLL9cwrQgky4dKQ6aFDNPVABxtTKJfwGa4yOJNDttvsEhkn3KAwZQizlET/Dna1CApt0OwY8C6Ko11RgvHnVk7yqg5UbPB1hzamW5py+WdfHplfc4Jlo2StgAAIABJREFUt5lL0XOyxO3k1LMo73G3BX8wqtZ9Mw2Pf/Oe9NBGlpI9pxw5TqZuBdblBpTLsnZeWzKnBJ45ipxruQLXplQFgfC58vr7T820CgNYrFixYsVGzR4cETr7bcdq/ptjmv+3ser79DGt2/A0za8c0/xgTPP/MaYL1o5pftmYLpx+mlatf45WbHyO5mfHdP65v6upS1+qpZe+Wss2vkCdS16pZVc+X+OXvVI/ufzN+sklb9ZXLz1e/37pX+i0S/9ISze8St/d8E796JI/1Tcveb8ee96l+vr8R/TtDe/VP274iH56yZv0rfn36kfr/0zfvOT9+uz6/6tvrn+/vrX+fXr3hu/orfM/0OfWf0ZfvOQTOmn9J/WV+RP06Q2f1ykb3qWTNnxSX73keH16/vP6+Pq/U3xlh45f/1X95fp/1efXf0pfW/8x/fX8P+jt67+vL17yCb1//T/r6xs+og+t/4Y+O/9ZfX7Dp/Sx9V/TVzacoA/Pf13PnF+l+NMdet38aXrP/Hf06fnP6d8ueac+P/8pfW/9O/SjDX+qM+ZfozMue42Wb3iu/u2Sd6q/4fc0vf5FWnfR0/TlS07QxXNP1fnnPU3nnTWmC84Z0/zPxzQ/Oab5f6+/vzKm+U+Oaf4bY5p/65jm/++Y5l8/pvmPj2n+NWOaf92Y5l8xpvknj2n+D8c0++gxnXnYmFY8ZEzdg8d06qFjOvWhYzr30WPqP3JMSw4b0/ybxhSv3qn5Y8f0H48c0weOGNMHHl3184HHjukDjx/TL35nTB968rH6wDFj+uCxT9ZHnvJEfWzsaP312BP0N2OP04ljR+lvxx6rT40doY+PPUYnjh2lk8YO0xfGHqovjD1UXx07SF8be5C+OnaQvjG2v771lL108ti++vbYIp3yhNApj68/R4VOOSx0ysNDpxwUOuWBoVMODJ1ySOiUB4RO2Tt0yv7Vta9G6B8j9OUI/V2Evhihk/CdP9+O0O1HtV87KULXH9F+/pxFzd8lDUyxYsWKFRs1qxnAxWBQKMmZSXJQQvb3844TlgzNvNiHjduKWQLMvn70oaP/3J6SJHuMDDIhO8R0NR5zlol5zDQnZKHoH8dEzpSeGWiR/d76OE8/xpzwmOO2/Emmzb56lEkp107h2GvmLdnIxplRpb/nnvwQcxTvBNrutZzzGJjgm4E3jk7uaZjehrn+7Erg/sno5TFRHufa+rpZ1On6eJ2GDGdfwy3/1mrI2hYAWKxYsWLFRstSFHAvvWCZ8oQRq/bzo2xIHzjuimEwx4hOB2MQwPF7iZpAjQmKDSo6qnwB6RPXJvNyLvRXzEEWDELI42HEq88zvcxEukYftgxQfS777TnimmNj0AgDZ7JPYS/9ZnLrfD89do6Nkqp/D9CP+2T9XipHwJznzXFYgu209EV/Q/qGMvm3ny+utefsPa0JCpepuQaWgy2XD1QAYLFixYoVGzVLewGT3WlLF5IDE8jy0EGfu1Z01GTAXJ6gaDydM5hYin7IGrbls/MLf7ylLMdMpqqf2mGQR67TVwWUl2rhOLgGZCwNlphs2ecMntmX60zhdwaFHk8GuOOpDIEe8zQyUprnlqZ1ZSoWgmL35Tkw1U3bmvNeuA5ZV4+D6WSyv6H7d1/Tat4b+hKyHTO0Bn685zPopwDAYsWKFSs2WlYDwNMBRMiG8aXJ9CBMp2I5byKVIRPE62SEumjPbFxmdbLkmqNue6ktso5tW4X1U1uWWJmiZin6JAvJbzJ6/hB8uA8COMrYZLhyHjwCNPaT09xkpi1L62doyK4tVTP6Ns+B6zaerhOgtkVSUxpvS8XDen20x+fN98P3gmCc6zbR0refQ/5ZoWTMoCLXIcAsiaCLFStWrNhoWQ0AT8ULP8ufBEwDNcEGI3j5Idghg5SBH5MpG/Atxst8gI/bJuNEIEWgyvM9DVm7Nn9FH3MunCPZSQM0RrjyOvukzMok2HtaD7J1e2rH5zkfys15bvzOqVV4jaCQzC/XIUvRfVVSPf0YyebmdWpzAeAY++k32Uq2RcaUYDlHFpM15Jw8fz5XJQq4WLFixYqNlqWt4AZqvtCz71VmrfyCpT9cG3iyDOe9as3OMcigq0qWm0LfPVUpUdrAVAZR/PTQD8/lQBCCuHydMirZJc7b8nbOQ0jwkedLwEowM576bJOuM4OV12BczfQ5BnR72r+XbN5E6mdaFYNIJpBtcA2ZQ5E5B5fgugMuck7Cfsu5nD+R9yavJX9znGSps4Sc3Qd+oigAsFixYsWKjZBBAibI80uSzvZtO34QwGVAR+bGbV+jZvQo+5tUxHlqMlMTdR2CT4Ix+wnSr4zjdz0ClIHagQ+DMDx2+4mRXeujPwOenCSZwMvtUcbM9clkWZJ2/j9H9GbQxX2C+xpGXnuv5Gn0l4FxBn8E+wTamUkzA0fAy99eI7oRcF0GqW9KsVlGpvxMZrPfUjbPjc8yn5ccyWw/zNMUBQAWK1asWLERMuwEkgMoKGsacPilnaXdbjomEKAczO23fD77mPnFzzY76ePo3yxRktGjXO02l2gh4CEgsA8jAa0BDOVZMpJcjzaWLPvyETBzDbjeZswMvN1PP5WjfxzHRHBJxpIspq+zrzy+vpqAkPeV4M5sZLde46U4zveIzByldfprto0zPydc/9wmQaiBHwNP+CxPquwEUqxYsWLFRs2QBzDLlgZYkzhP+ZJBEQRdZHfI4oyrSsmRX/JZ4mTdvqq8bVM4536WaiGLlNuyjxqlPwKfLFvmsRk8cE0ss1L+zKyVpVNKsxy713CQ2iX7SPbL5c5IY+vVcyRYJqNpcEdAxW30KL121RxrHofb/iXGnOVrsrBkFPM6cG48fwaOyXjyD0deq1ze42YOSoPocVzjmpUo4GLFihUrNloGH0C/KAfpBUspNbNrdN432CB7x5dyR9WWcmS8JlL95VoI2C5JAIZBBT0NU8UQePga9xMmK0TGjMwhwYlZT7NpWW4kC8ccgAQ8EyhDQMk+DW776IsyZ2a0zK4xaCX33UU/lE8ZSEFJt5eOyZ5xrbhmTBNDf0oyvgSjzCvItaGcnZm/NuBKBpSAnWvMZ9isL+dGZrcAwGLFihUrNnoGCdhgJMuvGdDQQZ/SW5bfCCTqF/y+9+A6wYSZo1kNAZXb/E2qw/bdd/42ULNfHGVIz4H+bZwHQRh9+ChbkzXj+mRwQZDCMjk1TL+lv0mUt1+fpdZxDfffzetA6Zhzz6DM8icBL/0iKfXm+0X2lkwc/xzwOfE9bpPmBxruldzmk8h+MtNMPz5L/JlVJEAmgCRoLxJwsWLFihUbLQMAnFLFwGX5dwIv3MzguBwZv66GkjJl0p7itUqgJMt2axMA6CsO3A1wY/l1sYbbexFIZEB1EcbJ/rJsTMBLQDWlhXkCDeA872Xojwwi19FglACPQMljX65htOy0qt0qJlQBpJUaAuQ5Rayoj2fUlDVnNASGjBT2fHOgCxnIzH7mYA/XocxPYJdlf6/bSlVbsnkcK9DurCqQ73tLkE5Wz2uZ15fPnftcjWtcX0rebONnigIAixUrVqzYCFkKAlkJgMNgggxwfM5AhfIiX/4GinWbzxDadPtue1CDAQOrGgwsuldNwJj3sB1HvwQQHUVchnFQOqSETF+8xejHcm2WLn2NAJTgyH3kgJApNddogH7dl9v0FmUr1QSPHs+cKnDY11A2X6GFzGhPw2hgzsUMn9ff68aAkMzicm4EYnkHjzY5fpUizq+PpxV7Xa0h+Fqu2HsL7gv/fFCaJkvL+89nrv79pNuw3v16HSlD8xnoqEjAxYoVK1Zs1AwAsA9QQUYlS5gEgD0NGTBKhgZ0Zl9qJupAgzm2TQk5A6ieIq5UE0gZdOSoUYIDj3EDwASvZ0aQrCbHwbIZBE6kuhl8GZwauOQAiQkN/doI7gzaBhqyfLP1sftZXn8MBg0wM3jKkjaBcE9NBpXsJtfXQJWyMn0LuZa89wT3U6rYXTOv2zGGWcWDdmJ9J1Eug/18b+z/SbeAvuJtwjgmFHFrasdz8NiLBFysWLFixUbL0l7AfvkTcKWXa0NWswTpF2necYEv3QlFnI1yfAmbgaK8574n0WcGePmlTkbPzBmlQUb+MtUL58agkT5+M3K4TYZkapc+jl0+y6cEID43ib4y6+mxEKRyL2YDJqaXyX1zLQjAuRYeB8dJwN4WMTyFOgTjBJxmd3uKuDvVvRNjb/vjwXl4rFOpH6zbWwgApxRxn5rAl8/MuAoALFasWLFio2YAgJRkCRomWs6RoSMYyBGplNz2FHHKaFAGl2Q/LQYEdFJ/HE+WKgl0MiBL0mFDGhzgm2tAIMEgiW6q3wYq8zi5LhwXgWEnfRsQjqf+8nEntUfg2lXFnuX+2gAS/QK57r6/lJWZoiUzrWxnBdrJfwDyWnPsHTUBKUEh7+dVuD7QUH7ODKjnXiTgYsWKFSs2WgYAmIMDyLARuGVJ1MxPlj0J2PiSnkq/GVDg3wwiIYDIL35Gl2YZsp/O5YCVLCu3sXpLAFTMOnnsBDv87u6hDNnUHLzAsbkvRrpmmTyDaLJgBLTuf7Gac+R1t0fWL4NSgm2vS/bLy/Olz2UbW5oBJkFZm8Sc/3C0MbNczxy05HNcRz/zBQAWK1asWLHRsrQXMF+wDkogoLIzPcvOqsmSuS7ZFgMI+oV1U9tmtqZQv1e3vzSBBtaz9NkWIMC+7AtnudTX5tQEvw6aMECgfx7nwPHwvNOz5DXgThQEsh7LjIZRvHmtuD55bhnocos4y7nceo/3ifcgA/Oc65EAPrOsvt5Jdckoc40ZOe0xZvbYIJj+hDnK2OtItwU/p5zz2RrK6x3c4+X196mKAgCLFStWrNgIWQ0AJxVxpiLOUpVC42xVASEr6pfp6vr3XP3yXll/z9R15urPbP09U3+m6+8plJ+py/n3nIb73jrYYUrD3HAGaNPpugGG98t1/eX19xTaZWoVgxiPYxrtTdXnZtUEwAYjMzhv4On6HMdkPT8fu4x3NeFaMOqX45xBuWVYMweAePyc52x9/tw010m0NavmfTizbs9pZ/w5s/5eruEzsKI+7+djtargjhX1uXWKuECV5Hp2/blAERfXn0sUsVFVYM+FqqK0r1DETYq4ThE31p+bFXFL9XngzYqH3KJ46G2KJ9+seNIdiqduUjz5VsULNimef6fikbcp/niz4h13Kt65TfGhnVr0pS3a+2tbFJ/bof3/ebMO+d4tOuJ7V+uI7/9KR/7nVTrku7foBb9crmN+Ma/qD1ABgMWKFStWbHQMW8HRz45MnlkzB36QaenhepZm++kco1wZpDCtJoNFVusMLWQNp9TcBs4+ZJmJ8nyYToSsEaVnypucp6NMfe2XasqNPm/Gj3Up99KPj7IkA0Um8JlK7XPNsjRuWZOBIwwmYT1GIGcJltc9tsxyjmvIFnMMvH95rdv8C7N8zuM+jjk2Pzt5az5HP1P6zWvCZypLyT1F/ERRAGCxYsWKFRshqwHg6VqYd41+d/S5ItizfEc5kC9sgyAGSeQE0jlIxKDTsi9BgF/y3M+WEnMvHbdFwHoO3O3Cc89+kD0No00J0DJAyvJlbsf1uX6MdqXkScaRfnRsKwNDSqkEn7x3BFgMsOA1g+48VoMx39O24A63lyOMe6kOZWeDtW4630U7PmYZ+zVmtwPOifPmvfY82E9JBF2sWLFixUbLGnkAX/NnX8GL0RIrfcLagFSO3p3Gd973lrkC8wvfbU+p+aJnf4wSJTPHqFSWyb6HfPnnAAqOgeem1Qx06KZ+MzNHBqqTrrMf+sktVXNd7PfGMbHN7MfXluuP4LKDPrtqrg8ZskEqn+eTP7y3HhsjdcnKcr/fPPY+6phFzf5+vJ+ZSWV7GYT62SSQJrjsqnr+CwAsVqxYsWKjYykIxC9Gy2rjam4t5jI5wpKAgc7/ZMHMANm3jwDE25HZMZ/tdVT5tC1J5w0UyTb1U79m4wgCCDSznEs2yfOY20M/lCIHLe1Qys1soMfOYBOOdwrl8jwz6OG4l2NtOlhrBkQQGGYGkRJwH+20yc5k9dpAFz+W6Mm0cu2ZR7ANuGXGmfeU8jkBI3dqcd+cT1/DKO+SB7BYsWLFio2WAQCSmeIODP7t6FSyLWSoyPz4RU0gaPZmI9qgBGj26XL0Y5DxG/z2S98MI0EdAQ4BLeVLMj/+0F/PY3G9FfX3Ug3B2OLUL30ne1rIdPocJVQHfhCQmHH0Lh/+zn6QBopuwyD97LptR2Yvq9t2sAnXKcvLBJJkBPnb9T3uDMLaZHemC7qovsYo4AlVQPXsdM4AOkcj53EbyGXpeAr9Zl/CvBanKwoALFasWLFiI2Q1APwFAIqjbpmgOcuefNk6xUcGE5N40YJ1esD9arJ/LmOp9VdqsoldxV67ADwILAkustTHAIYsYS4BWKGcTZmbaU+4Dr3URmYdmQ4ly8OZFSUo5Pw8xxUabgHnaGmD0ClVAJFtWnJfpiGYzMyey7TdA7fFIBifn9GQ6cy+gVzznMjZ67lKEevra2s03MN4oCqa+G7Uc1vco9jPoANzuijH+1CD/f2uaLmP2S/SILfkASxWrFixYqNlAIB+ga5KL1SyVEzwnJk2v2gNGijZoewjduMFTKbG/V2UXvp9RezGi55tE+QZOOUI15yomiCWLFL2k8u+b1kKdSACyzD6lEDJ86MEmZMcu67Tt3hOZvGcXoes3HI18yZ6LelH6TlZhs2RtgaEeWs1+hz6Hk+m65w7I7xzrsCequdqXsNnbBPaOUvx4N1aCNQ9J4JYSsf5gzG9aRfaH6h6rghyeVzyABYrVqxYsdGyGgD+PL0syY4RrHXSyzMzgQxgoFwIZubgW7RQMiZbRB9As0E3oS36rxGgUr5ldO4qHHdT2xjXAkbQ/VBmzgEJE+iXLJ7H1FUTVBlscW4Gg33UNfAhI+u8gr7u/IAGiv30nYFeBmkcGxm9NlZvvHHtqX+Yo4nzelLyz5G+bnNSC5+tXA6fvS/HuOmHmtffH95TAkpGcbv9nyoKACxWrFixYiNk8AH0C3OlmuxIW7AHgUuOkM3Rn2RceooTlUCKP5aAl6N+DTSeKLTDcaS2G3Ku27hLTfYw+wrmnS88NjNiGZQROBnMGICYPVycxsg+CV77qLdMw2TN06oSbE9puI/tCg0TQPdVJWReVpddW7ezMoEdM3GWlnNy6LzTy2Q6JuP72+7tBOqQ9WS0cQdjHyj2vRRrM17PZbyl7fwng+yvwX4OSHFSbj4XjJTOcnyRgIsVK1as2GhZ8gH0jiCUIP2CZj48gyC/2FeoyRxRCuTvruIh0sLIVkrFlDRd5ioACrJFA9QxAGCwyoQibq2PHShAgMGIXEqMZMQyyMygh4DUfms5f2FeTx97zT0OgkUHSqzUEMAtxzp5F5AVqnzoXJYS8HL05R1Dskzr/sguEghm1tPrT5DG+8nIZ869X4/Z56+pv5eouZb2XdyTvEsQTaaREj7/KLgO2ySrO64CAIsVK1as2KhZBQDfdrfiXVK8W4ovSvFWKT4oxSek+Fh9/L76+MNS/G1d5gQpXi3Ff9bX3ibFO6X4Syn+WlWbfyXFm+p675EOmLxT8YG6vT+T4k/q8u+u2/oTKd5cf79BirdI8b7ditdJ8QdSvESKP5LipVK8WIrX1scvleK5UvyxFM+T4ln15yQp4lbFC6V4QV3/eVI8R4pj7lc8X4oXSfFMKZ4sxdOleHb9/RQpjt6tOOIuxUPuUvzuNsVzdymetlvx7F2Kp+9WPGmX4ridiqep+rxEirG67xfUfT1td9X/6+t+XyjFcfX3S6R4eT3236/n9HopXlPP7ZX1uryi/n6VFG+sj99cz/dtUrwX9+BjWNtFm6vy75Xi/+DaiVK8vb5H75fiQ/Xnb6X4pBR/U9//E6T4dP15X13+b6t7GZ+s2zux/v54ff3j9bWPSPFRVff73VJ8oW7jrdKi83ZV199eX3t7PZdX1vf8FfU6/EG9Ts+S4qm7q/vy1PozJsWjtyoOv0fxwE2K39miOPIexSPvVByxSfHwWxWHbFEcdJPi0BsV+92gKqL8BkVcqyri/CqVRNDFihUrVmzUDBKwGbVlYE3M9jiIIDM6Zr2uAYPE4AwGNJghnFbTR6st1QjZNzOCjPikLyDZoLadPFaq2t2C9Sllj7fU8Zg4l35L2ZxepJfqIJJ5AaNFxos+h2YDs++a1yFvObcslempYgUHLecn0/kcyEF5uqPmPWc6lZwqKMvb+Z6acZvVUG6HHNzwFSVbOlCTrfO4zOLmvIFkoVfimHI319UsaWEAixUrVqzYaBl2AumlF66/c8Qlt9Wqpc5FGwB8GBFsP6y+4sArUN9+ejkowt8EFB3UWYJr9A9jPQY2MJdcT8MdNyhhMqCBfbaNZbxug/L3eEt7DEZw+46O5joSwGbJtU1CZToaSvFOSUOgmdeFwJSBL7zGtCmU3PstZfkHwWvA+sy5yHYMKv3nYImGzwLvqddjJebC835e3TeDbpwTcabubxb1PLYptF8AYLFixYoVGy1rYQAZWUkASP8rMld9DX3N+OJnlKvbIbgh8GF5AoAMDNuAFxkhArEBznVS2bYxERzlelyPHO3qupmN6qU2DFg4Dvoccu75OplE+jcSQJHZmlJz7Qi6ydCxTl4TrinH2ZbehmuyGONhNK/H7fuS/Ty5FzV/Oy0R++QaEqAzx+EaDf+AsC8C074i1qlsBVesWLFixUbNagB4Bl74OaKSctsA5zo4tizpvHhkibhNl9tcoiZIyvJvBhdkqMbTOYLBLB2zTu6P7FVb/55vjm7upb7ZJ6VoRkgTCBOUsS8yrjlKNUcuMwAmM4htADtHYzuCNoPytrERALNv33evr9cpb7Hneky+3TZmj4dtdlXJ2VxrsokdrHUGsecr4jI1AbHLTKH9NSo+gMWKFStWbNSsBoA/Sy97slpkg/ySp5y5JL1cc4LjNlYpp2WZTP2TMeJLPoORLEezjttbmsq2+Y0RJFKuZV8dlMs+aN1UbinKZLaMMjT7J7NH8Mzxep6TqX2yiBmouhz3K+a2eMyb2FH1Z4DzcRsDNcfJPwSUffnngcd8trje9KscaCix+zkzy2lm1s8bmTxGMmMsi9agjP0WJ9CH2yh5AIsVK1as2GgZfAAn0kvVzFN+wWfZzy/gnKKFIKyXXrjZD8/AIcucBD08z28CVYPJDA48t6V7OE+ASnBBtotgjcCT8yFgIivWV8WOLkEZAqEJNUFcllszqGafBNZZVs++iGTfuP6ZsSTI93H2P8xrxmdgQsNciFmud78Z0Jup89otTuWzVO0x8PnM8vAKjMd/JAwGCZbLTiDFihUrVmy0DD6AlOTIOtFPy1IaJUrKkQQnBCM5kIQRsx0NAzX4Ep9I/filzyCMLI1mKZPjyCwlgRjHST8yg5JxNXMN9lJ9s1Q+P5XWipJ1boPyJJk5jrOjZn697Ls4mfohEM/9cR2yBMyt7XivXM7jIVBru6+8D/me8vwM+htomNCaa0BfRN5Tsou8n0PQ/IArNqONZYqjvA2hyzk6uASBFCtWrFix0bKUCNrMniU3/+YuCgM12Z4sIfbwOzN39BnMbF4ntcvACTI7bVt8+aU/QJsEJWTWWIcBGgxaIKvF9tsYSl9j8uQcnMAgjMxoTuFa9mVsGwvnR9bQ60Y5vY2hzG0QEOV+s7TdJrNnENb2vUR7XjdK17mvPfknLlFzTQmcwVQfeImGz1tfsehXqY/CABYrVqxYsdE0BIEQMDCiltKgQQHBoV/A9E/rNV+8C1itqdSf28osESNGp7QQdHbVBIWZlaN8SIBl9iePdyJ9DDqYi85zJRNKwEkwl/33MiP6/9l772i76jL//0kCSQhNUVCRIlJULKiAAip4xzI2Ipbhq2KZccaGWMZZjjp2dGRso844iAULgiiQ5Jx7yq3n3vRCCkkoCS30jkRKKEnuff/+2J/H89rP3fH3p651Ps9aZ5199v7sT9t7rc/7vN/P83wo/RI4EmwNaioAjeVa6u6A0gz18nm2UC+ZPQf2fL6UVpuaOp9kf8m8RfmbgLaKMeS4I6tLkEbJn+UJVCmtN8KctFXsq8xnXku//yDLADBbtmzZsvWQJQA4Hwuny55kX7ggMwDAAQVlO/rAEYRQWhwN58mUORgZTOW8H+PqgkoC0CofQLKHg+omS/YxMEgjSshRvo7SafTB83o8SbODEwduZK98bKzP++6sKKVvyp8Oqng/WUTO76Cmgrj4TDnG6L9JcOX3xrb9enxPqiTn2B6l6uj7GOVc/zQq6qwCgPwDQPaU766Df2/rQlkGgNmyZcuWrYcMEjBZlsj6EKgQODXCd/T3Ikjgon9NBYiITBSDB2oq0nW4D6Av3pSZI2NEcHBV6GOUe2MAR5SCCT76w/0ONCP7RAaMrNZgKEeZm6wYd69wEBbH6f0dUTfnnYNmB3wExPG5UuplPxiJ28CHzHCU0Mn48p2JbDLBms8Jn2c9tEv/Q75jUb7mmKKs7O/JkMrPwstnH8Bs2bJly9ZbBgBYxcQRMMVAgGYo78mgyb7EwAcHG+s0FYw5e0dfPrI9HYAFAgT6DToTNgzg0Vax3yvZIAcqjPClLyNl5kGVQV70L/QxDOA7MnSUuwdDHQR13tawCkA3oO6WZqPqSpoEhg112dGOupGvfm4otEtGL7KoBNSN8NvPubsA54jPkQwgpWf+AYjBImyPAJrgOcrZ9dBmBJGxTb67UVLPADBbtmzZsvWWJQB4BRZDBx1kZwgcXD4LARfHCYs92cIrVWa1eI4gyoEPQYL3ZzD0yZkuByAOXrx/d6a6fM/ZnareC9YBV/RzbMtsvco+astQB7fLiz6HZA79/hEAlIWYN+8zQdqwit0vlqb7rk71XKGCyfS5GMG9l6e6rk3XRlVshTaW6vH+Lkzlx1SWrr0RtSFbAAAgAElEQVSeGMji0vmoyhJ33CPYo7gJTn1u67jXmcpb0vnVqLOlguX1vaL5h2MFynC+CcQJ3j3XIuuOMrk/jyFlH8Bs2bJly9ZrlgDgSk1l3doqL/LOtnQAchCRe7TCQuusyxp1wdGgymDQQRwjQgdDmwQTZJh8L9nIpjVVACL+9u3EGM28K4bL63Qp1UFtB3WS+SP482TDZK4cwA6EMpQg/RPnZwjnFqrM6g2oDDAH0zjbaNdlYe+7/x5Gv8mMRkaWz431MoCGjBvvp0TL+V4qs/vVBXys+zoVoNCflc/vMjwfzmtsO8rHA6mNKum+jXMZAGbLli1btt6yBACvVxcIEVj5tzM7zNVGP7d+2THOAFL2bavYjiuygtFXjwCPoIEyMn30HGjSn4vgdaGmSq2UAAl8KH1TvnR2z/s2hnL9oc26CtbJ/e6qgHSMRiYDx7Fxi7e4zZmDQUbferm6CoDI4Bln8ByUu4TswIpMbpxD799QxfX4XVMRSEQJ1u+l1NtQ8f5sTeXWqMsuNmS2QfZkf4/4jFaq/E5QIiYYpPSc+vf0iTCfizEf/v5kAJgtW7Zs2XrLkAiaDI+DPcprvoiOdxfXEiBbAWBBf61VAdQQCJI548LdSAs1fbgoPUZQQUDi5bxu+st5fx1YRYAYGThGoLoE7HXS75D30+fNgS5lXr+3gTZiZLCXG1bXx29UXV/LGBziTCGlZAfCzh4ycIPSNuckMqL0o6PPJ0EygXUViI/vBMfnMnMEbnEuWqF9AmjOdeznAOphpHEr1JV9ALNly5YtW29ZAoALwmLdUlmmpIS3HOdZbhwLLRfw6LtHVqcdrnl9Ayr82bw+B163hHqY9DgCEC9DCZb3cG9bZ/UIGGJ/3W8u1kG2lOwn5425A8mmkt1rhHodIA2pAEkuYw+n3+7j2JHZknTs7K1/PN2O99PHx7Qufp4JswkQYz4/jpvRvvwD4XVEptTrcGDbUCH7cr4c6FbNK5lLyu9enql0quae/eO5S2QZAGbLli1bth4yAEAHWcNYKKNDf1sFE+aggIwcASQB1FA4lxb23R9Sdc42l3avRp1+7jFNZRDZxjyVGTBnhBxExUjRCBQ5hpifz4FJlZTcCL9jyhKXH6vmJ47f+zuKsTkL2J/G0cGYx/CcPAJ4VF3w2FTX989BmUvFMajF++JSMftGxrCh8nP1OhgU43UT6HqbI7j2xzAfjOzlc+b2gT7/NZxrVxzH9y+ywv7n4HeyDACzZcuWLVsP2T5mpgc/apr8N9PDy/aQvmCaHDHpLabHzzDppaabdh4gfcKkL5kmTzbpNabJG0yTLzRNjJv0HpM+adr+UdPEZ0w33PFMbe83TZ5n2v4r050/Mt16runBeaY/XWy6sbOftrzbtKpzqD6w81x1Fp6gsc4x+sSD39b/dd6qC9e8Q//XmatvLvo3fW7pV/TBjefq8yu+qi92ztA/rT1XZ674vt626mKduuZSvWZJS33rB9TXP6q+izrqu6Cjvl901Pf79P3Ljvp+3VHfuR0d9oXr1Xd2R33/2VHfNzrq+2LxOf7Ty9X3qY76PttR35c6evXnOnr15zs66eOL9KqPjOuUT3f0/Pdv0Ky+bdrndQ/ope9epZd9YLlOPmtcJ392TC87c7lO/vSYTjxzsV79wY5O+tginfLZMfV9sqNXfGhRUe/HOzrxzCXq+5eO+v69o74zO+r7fEd9H+3olC+Pqe8LHfV9OF37eEcnfHWp+r7UUd+3O+r7bkd9Xy3G0PfTdO78jvp+1lHf7zrqaw+r79KO3rLwUs1d/Qd9bOl/6x/GL9DpG3+jf1h1gfrWj8rOkM7a/D19a9m/6gdj79EPFn5In3jsO+qMv0TDS0/QTzb/o25rz9D6pUfp1qbpwfmm+35meuInpjv/0/T4N0yPfMZ094dMOz9l2j5m2vb3psmPmx59u+nBw03bDjLpFJNeZ9IRJr3N9PgzTDrYpOeYdLpJJ5jWPNWkN5omjzXdfkw6/27To1+ZqUc/ubse/J89dWfjAN119v66+asH6cb/PETX/PAora6/RCt+ebwWLT1JnXafRq7u0yW3napf3fgu/fya9+qz687W3hc9oPcsP1+vXdrUieNjOnbhMh3UuV67XfaI7Owdsq/vkH1ou+zNj8tO3iZ7zjblreCyZcuWLVuvWfABpO/U0sACxePo09UfvhlEEuXCpmzPBzSVhXO2ymU6Bjm0VOQPdL88z/Xn18jaefvsw7DKvntRRmRfvZ+tivMx6pjb0rFdyowxnx1958iQNcP9nDdGSHsZD1Kpq2AF/fp4aJMMH5Ndk7n18cbdUXYlldMFgG1QQmbUNRk+ssoewUzpOM7VoApfUj4btsngGG/LZe3V6dnTR5J9bioDwGzZsmXL1muWAKBHsDLqk4EG9OFiqg1KbC49UnqNAIaAa6GmAjbmaovJqNmWy4GDKqJPvR5uL8bUMlGq9vFVRex62z5el42Z2obAjiCR/XBw6OOJkc310G69oq0qH8d4jmDK+zWUnimfA8GRb4UXgXmcQ4JGbilHgBZ9K6tkbf4h4LOsqytX+z1juE65/Uo8G5fCq95TAs5mum+DysEzHjTj85WDQLJly5YtW29ZAoCXYHF0FiYCjQUqg4aY343Rr/TbIphioMEgvskuMY8bt3vz39zRoo17yIxFcEIw1wjHBLSRrYr1kDXzSOJWaMOBIMEcI4IjC8f5aYf7m6Fdr8Pv41hiIEY7lGmhbkZp+xywLgK2+AziePjM2I/o99lA2SEVwUEOAAkYx1X4mQ6q/FwuV/d98neJycLJOPbj93LZS4U2hlT8+WAKmQwAs2XLli1bbxkAIMGOAy0uuAR7ZJuY0iRKo2TTCCbp4E+mMAIKBwUuc1Yxc5Qn5+N4QFNBVUxJwt+xvpguhJGlPN/U1H5E5tMZPzJYrIfRrQRDBNnNinJNTZ1HAi5GvDKXIsdL0MqxkElth3uiXMz5Yb9jWhe+Kz5X/p5RWieTTFYySvFRgm+Gcmlu3iq0MSSzO1QGixkAZsuWLVu23rKKPIDRl47+Yy5p8pjAzMvF3/Qno88W5dzIukXfPvrAebmYRoWLPwFaK3yiBEtmb1eSdz0cEyRRHqWkWpWsmewpI1spS3L+axXjjuMhKKPvYjyOki7bqSofo7Tj3MfxEPARqBHwR6l9IFxnJHGMuPaxNtO88F6CYjLYbdn0+0M9V+GZ5TyA2bJly5at9ywBwEuxiBNIUbYjWCAAokTJRZhsDO+J27FFHzG2yfq9Pw5eugDx7ff+BvdQamXAAqVlsmTRp7ER2qIMy3x0HGPVvEWZNsrjZLOKdv7uCz8Mc8hvAi+yXvEZxT5w3BFckdmNyairWMkoVXsbvvcu5e3IULI/HFuVhE8QWhVUxL7348N2PEUM3xV3O7gc9TWUdwLJli1btmx/bZtmZt81sxVmttjMLjWzvc3sjWa20swWmVm/me2byh9nZkvNbKGZjZrZIen8YWY2lupYYmYv2UV7CQD+QVMlXF8gncnqxyJK4OELuAeQUDaMrF5VgEfMmefMEqVYRu4SQPpvX8jp20c2zQFK9LeLDB4BW5WfHOck+i7WVfhJEsBEoMnx7Yqho6zK9gmECJAjOIsydmRDfbwEke3QTgSWHjTCeW2Hb0rMBJkRzPmfAD5PziXniX6FEaS2QvlGaJtRxVtCu/ehzzXlPIDZsmXLlu2vba80swvx+zdm9kUzu8PMDk3nvmxmP0zHV5vZien4fWZWT8ctM3tXOn6VmW3YRXu7SANDJs4XYEpuDgojM+bn6ioDQUrIBEQEgQ4UGAlMifgv+cdFUMZgBWeAyGg5eGLgR5SQuRUcQVaMdo1lGurKuexrZLKifB6vUwqPgDWyp36eEn0EnWTjqtKnVMnkEZwSlBJocR6irBzlZAJkfzZM1sx3iPX2V9TBvjTCN4995xHvbwdlhpQZwGzZsmXL9rdkM81sxMzeaQWT53aEmV1vBSC8NZR/xMx2M7NHzWx3XLvNzJ5Z0QaCQJwxIQNGlocMWA3lInipCrQg4POF26M4va6BUL4V6nGGaAzHLE/2jz57ERBxbDXc4x/vV2S4/Fp/RbsEO3GsUWql3yJBqgNsAhUyXGRfyX6RESWAIgPHeWE/ojTOcZJVZXnWHZ93FShtqpuqJ4LR+I7FZ8B3ryr4JErsXq4qYKfKJ9H7kX0As2XLli3b34Z92wrW7wdm9m4zuwTX9jSzx8zsBDO7PNx3r5kdmL5pq83s5RXtJADoW6j5ghul2yhdRmBG3ysycayL8qXnHFwKkOALN8t7jjhvd1Bmm1VmniIr1sY1B2y+4C9RNZMY/e7IPlIq9VQ5BF8ONtznjACFLCcBYgRqMWLax8pgGQIg3k8w6dus+TZ+dXX3AybAcjDJ50tWrq3yvBGAE8BG+ZnPLj7LeA+B32Coh6xuZJG9TPTF9LJMz0Mpn3MUx5ETQWfLli1btr8d293MLjaz/7AyANzLCobvBCuAHe0+M3tG+qatMbOXVbQBH0Au0gRHkc2LDExkyQgk5qkaCDp4+SMWZgccXPAHw7W2bPrD6AMd/Js4HlAZtDiQ2aQycFwA8BFZR4I2AsCWCgmRkioBD+egpW5qGgddZPh4DyVPJq72fX+HUz2+J7GDQILWhSrvXdxSdx9gSuvc25nPnP2gX5/3158P/emiVM8/DtEXkcCNATqcg8jSkfWLsnwjzS/fldjP+G4QZHu5zABmy5YtW7a/rh1tZi/C77dbEdyxFOeeZ2abrZB078D5OWb2sBVS8Lb07Xa3mT29or0EAN8ss7fK7DSZna0ySxXBUCt8GAQR5WIyMGQI04L9tAlNBV8EFQ7OKA/fU1GWQIHn3L/M698M0BEZuGZFfU1ca/7/lKUkyfFyfE20P4LyAyrLni2c923MxlJd4+qyetyVg4zpaLpvFGUp6zKBMueBLBxZunivP5O6ys/Hn2+UzAn8+KzHVJZrCahHw3MlyxzfrSqXAAJ5Hyel+K+r+86/SZYBYLZs2bJl+yua+/vNSL+/b2bfM7NbrPD9MzP7lpmdk47XmdnJ6fgjZvb7dDzfzD6Qjv/eigjiKkMaGGdRKHMuBrCpYxF14MHF3lmrRZrKdNVUdsR3NudxTY0+9rYHwznvRwfgg75fZIH8nLNl/vtqlYMzKFcS9NJf0AGk98Pr9HZcciRIJcNEmdUlysi+ef0MUBlGHaNhfn0u/TnQZ7FfBbhsp+fXlNlydQHXkMpJkAnKCeqiJE/JtonjGHXrcxklcTKmDZmtUMHItlTs88u9jEdkdo267xefKeVeb4+R5JHF9j4Oo+2hUDZHAWfLli1btr++fcsKwLbEzC6zIuVLnxWpYRZZIQfvmcq+KJVbZGZtM3taOn+QFQEki61IB/PcXbSFKOC0bVYJCG5UeacGX/THKhbbBNZmP6EyI+SAYVGow/35hlCe9REE1lGOAKQ/LexDmtIPa6sAfH5+QGZrARiiFEmA44DMI0bJdLrMSrbJ+1oFRAg2fAxMZ0M5nX2lVO5AfCy1swTtc+eWhWk+Fqbym1OZden3MnUBYRttOXNIMElJ19lUsrIMSPHfEdy21ZWuvYwDsc0yu1cF2FshO2IH2l0pe+sk2vU2R9Em093wTwIBI/9srFX53ViEZ5Al4GzZsmXL1lsW0sDEhZSAiuk5KLlFEEhgFM9RXqRPV0Plxbs/1BGlwwguHcj5tSgbxu8YCUq/t2ZFeT8ms7mrIJcW6qZkGcFhI5xvhm9n0aLkzKAGppChNBqZU8q3kfWkjMqIXwb9tCvKeB1xDvguzFdZeo0grSpaOs47mVWfr8j80g2Bsjr72dJUYO3jyQxgtmzZsmXrLQMAHFaxQ8KguqwX2Rz6+PWnslEubMuOEH6T/XoQC6+zOn7dWTze42zSSpXZsyF1JdF+nCOY8oXfmUpn4ih1RgmY0rcnJyZY9T6435qDkgiSGJ3rbZLh5BwQ2HnuQLKnQ+lZOAs4qEI6HVLBAvpc+ByuCPM5hHpdBu2oy8L5N8Es73HfuWF12T/OI4Njok9lPZxz6ZVA2OttqYgI5/vibfg5/gGI0rSDQcrylHv5HkcwWleOAs6WLVu2bL1m+5iZBr96vJb86ARt/JdDdfW5R2l148W66E2z1Jg7W1f2mWonmK492vREn+nGw02/28v0PTPd/iTTyGzTT8x0jpkuMNNX0+d/zLRuN9N8My2cZvqumZbMMW06wLR6T9Omw0ybXmjadLxp03tMd77ftOl006YzTP33vk6bzjBt+o5p0z+ZrvuRadN/ma6q7aFO7SlaeP5TVKsdpl/WXqpLaydpfu0knVM7VWfX3qdv1t6v79U+oM/XPqtvNz+us2qf01mt7+jDrf/WB0bP09zlNc3t1DS3dolOG/iD3nrxPM39bU1zf1PT3P+rae6va5r7u/T9s5rm/rKmub9Kn+/WdOoPa5p52ja98Jx1OvX7Nc39n5rmfr+muf9V09xzapr7vZrmfqumuT9O186uae6Xapp7Hsp8v6a5X69p7g9qmvuTVO7zNc29pKa5P0zfF9X0lvMXaO5vanpn+yK9Z/iXel/9//Te1b/QPzbP1cfr/6Wzal/TB2tn68u1j+kLtU/qy7V/1ndr79D/1k7Wz2p9+lHt1TqvdqIurR2jxbXn6OKrT9PMX2zT2sZztPGSPbTpx6abf2had8XztOmsYv53XJqex5mmTceYNh9n2nyE6aq9Tetnm649zDRupoVmuv8ok04wXWamB+aYfm6mS8y0cYapM9O0di/Ttc803fw00/JDTNc+13T7CaZVLzM9/hbTve+crpVvm61Vc/fUjd88RJs/8myt/9bzteTnJ2j0Z6eo/dvXqXbZXNU6c1Ubmqv5Q2/Vb1ecrq+t/Lz+fenXdcbo+XrV6LCO7L9Sc+b9UfZdyb4zKfv0pOyUR2Rv3iZ75cOywx+UPfch2UFbZTP/JLOt6XOHzK7LADBbtmzZsvWcJQbQtzBbrKns1bC6LBsZnfWqlvfoM8gcdoMqs2POLq0Dm8OoUQ8iWKGyvNqU2ZXqMn5klCg7RybJ++CMV5RM67uoh2V4LgY1UMql1OhtxiTUf0mubaKehgrfPT+mDB39M/28+8p5WWcRdyXbxn5yJxP2L0Zycy74fFkfxxpZwkEVwR4DMluD599W8V64ryPruT48jypGl+ygs83Dsukb0jlnkP2dvkiWAWC2bNmyZeshQyJoLqQupY1hIfVoWF90Oyi7q6TBlP68jugvuKFi4aacN4BjB3HDaJeAL+b0i7tCxDxxbRVAsxbqqfLviz6G/PBajExlm39JyqzKgRelZkqozIlHgMlx+D3Mmxf9Fx1UxshYStbeP4JXf5YDKsvnEXgP4N6Y53GpCtcAB3z8g3CrbPdJzKXXsw5lCAzZj6rk0QOysyZVlr0vT8c5CCRbtmzZsvWWAQA668Nozqa6iYT9N33X4tZkjBbl7hoR6NDhf6SiDiaY7sdvMlhko5iOpoHfLZQhY1dHvQR9MWiAAS9k5hqhzsjAtUJ7tdAW06U4SCK7F/MJRgaUaWo4DjJtPkayYwwaIYvWr+p5I8sWwWk9HPNaBK8E42xjVF1A10m/nUlcIZv+eHi+7qvJeWc0N9PsRMZ2QPaGyXR9JH0/nNrKewFny5YtW7beMuwFzEhJJoAmGIyAhQCCYIEgiIERZGbInMW8bkw87KCTQQWUmwlGKAeThXNAtAD9WqAyIxWlXQILBzIEvgRdHANTzPjYGeVMts7vc4DEaFayqN5+DeUIfmN0r7dJaboV6iaQZlob1tOv8rMhw0hWkwCRLKffy9QxUaIlQF2FcTkr6PPs70AE44xmJlPIefM21qsr/w7L7O50X/YBzJYtW7ZsvWUJAM7H4kopLTI2BDkEXvQl84V9Aa5F4EfGZn4AI2SV2qGdeqiToCamd/F+Uoom2CN4JVAhuCLYYd9YBwEYpeSYYoUgpo7zfhxZSO8bff7IpHp9bdTvx7WKeqJEz3r4+zLMBZ83+xnlakrJfD79oQ7/1NSVkNk3AnF/7wh6nR2sehd2Jf0SBC5Ovz0a2iOoswScLVu2bNl6y5AGxhfeUXUZwLhrBkFKFUgiMCQD1QgfMlDNcH4A5wguKN8SEPFe9gPS35/r4P1k91qhHgJIspFex2BF+wQwDA4h2GP9lGPbuKeN32RVa+H+RriP4yDgjaAy9if238fbH+4hq1fVZlXfIntKH8EqxpHuAjWUj9I3WWqyn/xjEMfWUDct0KC64G9IGQBmy5YtW7Zes5AImgDAF3Au3DWVZVNndJzti35jccGvWvj9fPSfi35c0Z8s+qVFtodSJ4EqAQwl5351g2FYlu16Wx7Byv5RiqRfnfcxAj0fI5kwn+/5FX31Z+P31HHcxPX+dH8V0IpsIwG7z998TWXW+sM5nzcCNL4zBGNkcsnSxedMH8/BcM+CMA8EspE9Zvv8M9BWOX8k381LZRkAZsuWLVu2HjKkgSHI8EWYC6wDpSEssFxo44LskaW+0HrajTbq8X19vTyTULuf1ogK5mZJurZQZuMqIkgXpfPDqczSdH0xri1O3ytVpBpZnq75+WUqfM1Wp3OrUj1rVaSgWZOurU3X1qV7Ori+Nn2vSsdrcd/l6dvbvyKVW5M+V6VrXpe3vRznF6c2V6c+j6U6VqTyo+n6InX3Yl6Ez1iYcz4PTxrNLdcG8JuJn/0+AjcHpaNow30kh9Vl2lyypj8o08X4dfo2EqxGALsrIOnsIcE52/Ft8vydG1BmALNly5YtW69ZAQCfuUVmd8pm3iWzW2W2RcVerZtU5Ny7OoETByQrEuBYpgKM+fHCtOCPJaDhEZdD6XskgQKX4BwsMO9cG8fclaIVysQdKxwUOIho4FpkjwhO6SfnUiGDXCKQoDTeqqinGb4jsxol4AbqizKpS50cu/ePKXUGQ1sEfHEruZiPsanyjixt3Eew3k7Pz+sYU3nHEd8xZDxd83dgkYr3wsH4YhWg9XIV78zKdHyFindss8yuldktMtsi2+1O2bTbZXPukh14n+zZ98hefL/slD/JTn1I9rbHZGc+rhmf3aZDzr5eLzhnrV56zgr9/U/7dfrFv9UZ9V/qfevO16c2fEefv+/ruuQL++j8h96rXz50hi7b+mY9/ItZylvBZcuWLVu2XrPgA0hgE6XbGMhB6ZMyLf256qjXAY8DF/oQjqCcMz2U9qp8+Aj0/Hp/qJfSJWXcYZVlT/rMkf3kPQ6Uqhgn+tjFIAVKt1GijFGzMX9gDGRhMAklV99SjT5yrXDvfJWfF30jo2TL50XmjfPJYBnOfwwCoW9mjFom2I1uBYOa+gwJ4Nkm+0kZnsEkfrxRZZB7r3Ii6GzZsmXL1msGAEiWKAK5CLJ4nQEYESAwiIL1EKg11d1fN4KSmOOuKuLYGTH23/tJ+ZBgy/fTrQI2LbTJaFcHRQtQVwS/9K3rD3VFUBSDGKrYuihxjoXz3CeXQRRkHJmSZihcI5Bj3/ms+Im+dozu9Xojw+njjmlbyLxGtpTn/Pm2Q7sEvBFsttWNyI6R7P4HgPOf8wBmy5YtW7beMuQBJBjxBZNO/Q0suDHKtep3B8cRRLD+ARVSIBd8ghICzyiJEmhwZwpnCL3NK/G7qSIfHJmkXUWr9qO+FeqyjoMq5Erex7bJljJZts/TOM552SFNnWfmY1yoQk5tqJBNO+r69HXUTag9qq5U6/5+I+m+4VCv1x2jvQnIyODFiGt/XgtQH6Os/VmzbAyCaaAOyu/xzwD/AERJu63yu8M2Yjob7hbiwDLnAcyWLVu2bL1lCQBeCsBTJelSoquH81ycmXpkjbqpS6I06ws+F2HKygQIdZWjlKsiVOPetZRYF6jwOSMrOISyVVKnA0z62Q2l8biUuRjjjXnqWhV1RoYqSqgOsjhP3q5vf9dUF/iNqwvyGJFMeXMx7iHDRkBI8Fkl7zbUZUvrKgf2UKplvylBx8CNyKzGtDW8HlPPxDr9mXJuY0Q4/2zwGuX4DACzZcuWLVtvWQKAfwggwgGSR4KSCVug8s4cDnoo97ZlT9uWAAaBV7/MrlNZfiMT6N9M38G8bxGUcl/XCCIJiJbgvLNEXn/cU7eK/SLr5H0bRRnWx3x6lDpb6kZbk92MgSvOXjIQhuB2TN2cdt6PEbTn8uaICpDogRltfPu8OVPI/vjzJrtKv0iCUzKtVTIyf68Kc9rEMZ/1YLjGgB3OUZR3+/GhLyD7w74TOF4iywAwW7Zs2bL1kHV9AGferC5jsgyLNRdbMiu+uC7Dbwch/bKnSmVw5+zLHZrqG0ggSTDHHH2rsWC7f9caABcCMN89gou9j8NzGRLEkKEjeCGYiPKwM3LxOllMyqXNio8DqwaOmbeOYLaubgS1M3gEoExY7Qwlg2za6rKWo+oylhH4se066vY5iomiCeQZuEPg78+waq6cobwmPZvFON9SAVqvwFzzmwwi31d/B2LgkI+TZZvKaWCyZcuWLVuvWTcP4OxJdaXFdQAeZAUJEpz52aBuhClZuqtVBn++CK8EMOH3Wiz6LjuynSsATBzE3RkW+H6VwV30I2TQwjB+s80oNfN3rDNGs/o2av6hXyP76UwXwSJZyPjxvg2GMsytGIGwA7VhjDcyo+y79yfW7+VjdDTzA1b5MhL0ki0cqmh7ibp+mePp2OdqQGYPhz7X0f680A/KwHUcs+9svyWzC2UZAGbLli1bth4yRAE7w+aggqwe2b0qBjAyRlEKpPxGpshZmH6Z3RAWZpd+fREfRX1+zyq0GSVaSrn0F/T7KWOTrXO2MLKE7PdAaJf1c25idC6ZPzKgsWz0TfTfBKt8LvQdJGAjAItgjAAtRv6Sga2hfWcNGfQTZdf56sq4A6jH542Rzv49oq6k3pYdIsxlS0UATBN1+Xvq/SHYIwvId4IAnO91U9kHMFu2bDChe/cAACAASURBVNmy9ZoBADJQgJKaL9Tj6jIplPjIghG0uKRL+Y+sD4HkgOzZk5oKuBhdS+nR61gV6os+e7E82xxH/TFlS5SPfT5GQ30Em2T33NePgCq2H0EywaqDH5aljO3nmLCZjGI9Pc8m2mfgh88pffiYHLo/tBOTaROANkO9jKzmO8FnwPbIKDuoW6/yO+jt8l3zd6Ie2oqsLn0DB3E8gOMsAWfLli1btt4yAMDlWICdAeS+qe4/xkW8hUWXzBABFMsytUdkrNYCxFDO9H7Qz431MWrZ71+AMh5tzLQwBHUOmFxWZr+ifxnLt3ZRZwPnHBD6J6YkaVaUc2DHCFj6PUYWkpG4BLTels/1ENrxOXIGlMB9Ho69nbj9X1tlOZr9pPzq/oaRtYx+nv6cuU2dA0pn+zh33o+16DPnMgJmgmQCYr8nA8Bs2bJly9ZbhjQwy9WNDnUAMYCPX2uFhZZRo77I+/VlAYQQUDFFR9x6zKONW7iP8iUXe7JvlCUZcOBtenBIK9wTgwcYIUrmkulJnOljf+jrSCaKgQsRGDOqlRJ0BMlk4Ly9KMdGwBrbIGAnwIwgl2Pw50HpOkrq/tzGMF6f07bKfa+pPKf+rg3K7KZU5nJ1gWBdhf/nzbjH+7oO9UeASp/F+O61Zc/8o7rvawaA2bJly5attywBwN/LrCPb/Xp1mbV1AC27Yle4jy8Xfgdz68LiXBUAQdARF2v6vdXRJlmjmLyaASENtMl7WZ4SoQMLZ5scLNF/MUqMlDt5rUpKnx/65nNNJizWRxAYpW3WzzGwbgItysuRgY193VUi5l0BxsiO0o+UPo4LQtv+To2riARuqvBHJUhdLps+EZ5ZSwVjOE9dcBnBJv9shHdz+i3oUwaA2bJly5attywBwIuLRfE4YfG8AaCBiytZJMqEUTIdVNdnrqUy+0agUQWiCFgaoR3KlfRZc6DXQt318E0ARR8xMl6xDu8bpVkydZRH6+Geuspybn9FWQLeyNoR6EbA7OUWVNRHIERw6WV5P8ET2b0I2uery6qRkSXryf6z/nooS5aR8r3/MRiUTb8JbQ/IZmwOz9NZafYzAtM2ynJMgyqSg7u8/TtZBoDZsmXLlq2HDD6ALRVSW4zYjDIeF1ku/mSVHOjE+7kwR+mWrBPLk8lrhDIsGyXS2F8HCINo28EbZUxnAAd2UUcET5SifacQBoc4kGO/I8iMwStkxpqhXGS5ov8l++PXI+NGSZ7gvoEy/eHb64n9oETP8ZJlje3Ftlmnf0ZDn6r8C/tV7hfleUZ3M9DF2yYAvEiWAWC2bNmyZeshAwAkw8Xccm0spoMV5xg96uDJF90RdZMXD6i7jdmQitQevpftKhX+YytU+A2OqfBJXJkW6nEVsuB6Fcmfr5DZJpltlE2/WjZts2zGNbLdrpTtfpNst82yPW6T7XFz8dnzetkeN8metE22182yJ98t2/cu2f5bZXalbP8nZPs9KnvGVtkBT8ievkO2307ZITtlB+6UHax0PCk7bFL27AnZYdtlB++UPW1Sttsm2cETskPStcN3/rnc9KO2y54zoWlH7CzOH7FT9qxJ2WETmn7kDtmhqe5nTcoO2iE7aKfswIdlz9gmO/Ax2YFPyPa/T/bUR2VPfVj21Ltk+/9R9uQ/yva9V7bv/bJ9bpPte7NszhbZXtfKpq2Uzdosm7lZttv1st2ulk3fJJt+pWza2jSP69K8L0tzvC7N+fL0e1l6ZktUBAANp2c1nMCZH3sKF0827f6c/MR3xss5QOP2cn4/mWcH7gSqfs9ClQH5AMr6Nnledw3lbpO94gEVIPLSDACzZcuWLVtPWQKAnbToOyAYT98LExjrpEXeF/pRLO7cqswDOhwsDuMaI4N9oV+gMpB0cBilZa8vMki+uDsAoBRdlUrFWSVnlDzKmSxSVdqSKLvy08E1yqj0fWT0K334HNCw3/RZjBJpZOw4piHUuzDMlSeDJivWSucXqCvtVjGSlGvJ5jFQJgIw3wKQ4D9+j1ScH1H3/eqoeA/9z8BCFX8QVqj4Y7BKZptlM64swP8eV8v2uU721JtkT7tFdtAdsqMf1/SXbteM457Q7q98THPe/JCe8ql7dMDX7tQhv9miH1x+ug6+9iZlH8Bs2bJly9Zrhr2AqxZ+Bw0OSiixEcAQlGA7uBJTQ0C2K789RuMyUMLTtHgZ/93SVKmSkjN92PpVMFkLUE/0DaNPHAEPj9lefwIoAyjH8cTk2bHOdqgzSrzcF5d58zz4Zii07aCOcjKZMwftHuRC6ZSSd5R4q5KAM98fJfAmjqOvYpSo+Q7wecech5TEKQHH94VjiuUY5ON1XZnKZACYLVu2bNl6ywIAZFqPCPRikAPPVQV0EIQ4WJqvslzs91AOJBCl/5oHMTD4hLtAOAiIvnHNUJ6go13RXgSBnJPoe0Z/SII/n4N+FVGqA6Et91GrCprwMdCPjtfY9+gj6Pd5+pQYXRz76PNbC9cXhHsI8hhIQWDWxvNxdraOTyv8jlHWnAPOd6vim89iHsbofwzaoR2f80Hcw3YyAMyWLVu2bL1lyAPoLNAyLKYexUvZNjrkO2iLuzI46LlCZXDmi7LX5WCG4Ma/56vLKrVCOaaDITCroW33++IYCIIIath/Bw2MSnYGy89FwBqBYgRtkfHk+Rh9XAWaKFHHYIgYPUxw69cX4FrcGo3RuTElDscWmVn2j8A5zkN8tgzGIOhbqO7WgkMyuzdcv09TXQPib7oGRDBNGd6Z1AHlreCyZcuWLVuvWQKAl3QX5/0fxmK6SV0A5YusL64NlWU9Lq4EFksARAgOHHDFKNIoGcd9bil5kl0kaKOfHYEGQVG/yv1lm5GNaqV5oGwb/QtjDr/4idHSTLFDoBIl0Ya6rBYlcTKcVSCQcxPlUh9/fH5VDLADxkZF+5FRjOCTwItl+B5QJqbs3ZDZPThPKTpGaA+GNts4FyV9gtTlygxgtmzZsmXrRYMEnBb6aZNY9JdoKtvENC9kp2K+OwIcAoZ43escVBlM1FVIdVEujMxTlPqaf6GdyM7Rl4+BHBwvwa3fE2VGsniREfN6hkLbXt8gys1XWeaObCDn1OfN5fMoFw+oiO4eSPVy3uIYY3+b6sr1ZGP9udcq2hzANc7DPFU/Lx8fmUEHZi4vj2IOWur+OYjbwo2p/P4Q6Pvv+aGdQZmtl824XcX7nwFgtmzZsmXrHUMaGF/cF2IhJXNUV5GChUwPGawYnEEmieDD7+eCH1k7So3OFkY/w6p6HVBFBo0sEmVXlwHpw8bxku1jP3jO24w+fU298G0OWOqhfQI7n7vIlnHuYwAD748MGu9thvYJhpsqg7BGqId1cB4Gwv30/YvMa/QljSCT43OZmlJ3LO9/FMhaNlRsHUeWmvIvd6nhXCVQ/t9SBoDZsmXLlq3XDAwggx4o0VEibeCYYIKgigCGAIeLOoFGM5TjjhBk5mL9kU3jeQK1/vDxFCURdDVDPTHog1Iipd66upG3BCsENo3wzTY573FuCZyi/5r7Ozr7RuZzQaiXDB3B6wId8Kxh/G6pDM4oC/M5RUm9rql9I5jnu8OUQRGsDeCY7HE/7vVADh/zAlX7g/rzigE7gQV91ePKADBbtmzZsvWaIQjEJbYqqc4lTAIyX0gvC4usn49RpA5CCAy4wJOBIsNI0NlWGczUwzcT/RIcEkQuDeeiLEqJ0esiIHafSI5hkbqALAJEgpnmLur0e5hTkXI1AZoHSDAPYxvfzEMY5d5BPe3gi1Cuis2NEj8BMPtDsFUVHESZNwJnbl9H/8hW+NCHj78H8Tv2N7J83oeY8qeO+jIAzJYtW7ZsvWUIAiGj5dIo5dYoE0YWyMGPgwnmAxzHghsZNbJuTbTLso1wjsERXtcQyjNvHRlMskIcR2SGGip8xthWlH6jtOzf/aHeKK3Sf7BKhuVeu2TSeN7zALbVlewXqfCZcyDJPnEnlra6u3b4x0HjAO7xMdQ09VmRbSUDTH8+Mpgu7RIUsh7/kKmNADYy0vxjERm/xi6OOdfD6bijDACzZcuWLVuvWdgKjqAj+uE1KxbWyNaMoI5+FQEAjWJ7tRLDlIDM9LtRH/3HKEt62/PUjRC9T1MCEfZ7XGUp0gEN2TiyZF7vgMw2q8yIebvclaSKjfKkyiwTI6YJGjnOdmjH52y5ykDI5937PqoC7A2r2BXDj5er8IXjVnzeV98ubTXG268iRU9bZmvV3Z3D++/jY38JxGLgiL8P8ThKvfS/bKAeL8/dYSj/UlKPMj3f2fhORmBK30OvJ0cBZ8uWLVu23rIEAC9W2c/Ot3oj8+QLKJMpU+71rbzoA3dZ+l6rMjPk7TDghGDhqgAmKPO1VKSnIaPUks0UAIYzWgvUBY5kmLxuv/86lWXMCGQICh3YuRRZD+e8bAxccbBC8NmPe71/VXPt4/ZIXO/HsLos4LDK4HQQdY+pHKXtgNOl66bK/RjEcZXfp89vlG6jzyPnk8+Y7GkMTHGgThnZxzUP5fluNEI70Q/VfQX7Qzvexu9kGQBmy5YtW7YeMkjAlOZiRGf0r6KM68f064oLPsEX76mSEAdU7PXawO8qaTd+r9JUGZDSLWXWFs61VTBj7EfrL9zj14fDPQtVBiJxrugHyETFlCUJkPjdr3J+RD4rb8v3BGZEst/vjCQBUh3txa3s6OsXx9+qOMfAi/m4Fn38CNZiXU2V/Sur+tnAOV4n6I/+i56Wxhlj/nnpT/3NiaCzZcuWLVtvWQKAv8ei6dGWXCSjtOaLfMz916q4n9e46PuCTWk03T99o7pBDi6REkw6qCJYGMM1AoeqRd93m3DQMqIyMxcDNvpD2011fcgc1C4GKCEAJptHyZL1+7HPCSVln2Oe9+APBz7NNAayfw0c11T4urnvn/d9WAVwd3DpdfHYx89v7wvZuCgL+9x4HVWBO/GPBMEe3zcyowTLDHgZCu3zT0wTx+yD33+hLAPAbNmyZcvWQwYfQIKddlhwCQx5zhd4T8VBJ/3IHnJhpqRIJtDLLcPi3w71EQzwmPsCU56ljOps0FpNlXadJapiNym7Ur7kuQ7a9HubqJe+cvTv8zHMwz1RSqafm7OP7rPnvoHz1fX1IwPpHwe93k8PCiEL50xjFXiPEut8lbfciwCdDB3l1ij3chu3+I54HQ7uKIeTaabEHv+sDIX6/A8M37nMAGbLli1btt6yCgmYfn+UIMmoDOOYi26MYKWEuCks1g5uyJw1Qv0EBw7mvFxMvOz3tnAfgRw/zAXIoJBdSZ9RqnTgEANCYnBHf6insYt6GgmUkKlqh7br4ZqngnEfv4YKALhE5UAOv9+BogPBxamM+2E6GCTzF8GsHzOdD4FynAe+Gw7e/E/CQDgfJWJngCMTTZmdPn0EnZz/Nsqyb5TTcxBItmzZsmXrLUMQiAds+IK5CIv4kMoAiWwOZcAYvQkm61nCOWeQ2jK7VdXA0Nkj7ldLkLBe5S3BmjK7GaDAwYzXSf84Aj1uOxaDHSLTNIT7q/wlyTRRbmyEY58fMqSUkwn+KINHCdZB9yDKDKEOsoOMrK6rmzJmLLXdQT/n4/4Y3BKfFcGwy9CRBXZWsanyvJGN47jraNffh8icUo7nO0i2NUrOkS30Z5/TwGTLli1btt4yMIARnNyGxXqNymwLF9+4oK9S1/keLMtuj5Z///n7Kizq/Pg+xFWyZF1F5C79zFoq0sMQJJCtaqgbqNJQGdQ4IxajQ5sqA4zog8hrVYCOUjkBDgE1/eQie9WqaC/WX8VA0ufQP8Mq98HbG9HUvpE583ORZaXsS9aQbJz/9nN8hrxG5o/trE7foyqDepe/W7uo28/1454I6sk4ZwYwW7Zs2bL1liUAeJHK7FJDtv+jWKQ3AJQ0NJUNcnmtpYKZ8/vIvFC+dQDIfVoJAgdkM+4HKPC2dwXs/HhFxeJONo4gJQYuOANIYFcFVOh3GKVZghuOh6DX72+HcnWV+0zfSIIsSqaUaSN4JUBzgOiSsc8Zn4EHggyFNuiLGJ9TdBOIz7wfbfD9cTDKOnhPU0Uk+HWp3TF1g3x8DNdhfhzYc0u4qsCRKpm4rewDmC1btmzZes0SALxJZvfL7AGZPSaz7bJ3STZLRX69p0u2n2TTJdtDsjmSPVmyWZOyPSZlNimbkT4HTMqmT8psQjZrQjZ9QjZzQjZjojhnEzLbmT4Pp/YeUMHe3SKze2V2m+yoidSvq1QwQRtUBG8sV8HWrUjfi9K3fzoJLAyrYIlGUpmxtNj7Lhpj6gZRdNQFgEMoQx9EBzdk1hjZS/mbwI4gdFRl0Et5l0xewXjO+tyDqW9DaQwOfuj75/kX/d7hNF9MHO3j9STSizBPyzBHo+n+ZWmur1QB6DfLbKPM7sIzukNmW2W2TWY7ZPY4niue9V4TxfsxM70fNimbPSnbZ1L2pMniXZo2Wbxrs9K7NV2yPSV7imQzJDPJvqiivmne1kTxntj1MrtbRVLrjek9WZ0+i1UwycNpbCNpvrh385CyBJwtW7Zs2XrNEgD8g8oSZkvdXT0IYsisLVSZhaIPW1PVbBcluhhdG532R1UGSpFRYyDAIK55H+NxlAjJKHp0sJ9nn8m6MYq1hQ9ZTfoBRlbMfdkWqMz8kUmlvOsMlvs6xmjkyFg6yxXZvZhfj4A2BlIsQF/YL85pS+XxRmaYkjXZUsq8TLzt44qBJB20dS36zTyHkUEeDv3lM6Ffah2fnAg6W7Zs2bL1liEIxAEKAzuibx59vwiCuMgSMER51MFWM9QzGMoTCPl1pgWJvngEGL7As7/9mpoImKDAwU7VjiGUDOkHGNuMsqiDDd8Hl1HLBH+c4zq+4/wyyMTb4T69bNfHOIj6KOmyfzG5NsEu/eYon1PSpu+iP1u+AwScfC6sl/I3GdQ4tnZl2Wn7+3Pj+0HwHf0tG6HtDACzZcuWLVtvGRhAghuXP5djAV2pMjiKDI4v6oMqpDcu5ulzuFCOSXyvVxnY0T+LEbT9od4lmhqUsEZlMEm2yfvH/rZCm7yPQREMIInMn9dJv0CCL/84EBoK97O/BIYEmgSOcV6ij6PP01A49vHFND6cA5fB6ypHFDOQYkBlgDakLvMWn3szHDvYvwzlOdc+zpaKgKJbUhl/Fx1Md1RI03V1I9YZye59GELbZG353uYgkGzZsmXL1lsWooB9gU6g41WTWHA9KIPMUpXkOiSzG9QNOmDQxgosxlVpORwIOSi4UmVWylOGeB9dpibbtEhTwRPLkBmKoGBIZRDKOqLUSeBH8OXjcbBEyZHzREbS2yFY4jy0UE+Uvj0wIjKFZOX4zDgHQyo/P+9PzLFYxzmCqRgA4myi94fpfAZCHVGSj9+eI3Kxuju13I/5GVQBChkMxLmOAJvBQnwXFij7AGbLli1btl4zbAXHhTOBgucLC+fqtFgS1HBRpx/XEgCdGOVKv7AoC8YkxKtV9tX7SzJelIjbFR/65tVVgCMygQR381DOJWSCwdgeARNlb/ad8mf0i3Qw6aCOgSTRD491EUiyTASP3i/6E9LfkSxjf7iHUjbnvspdgCylz5EDQ8q7Ps414Rkw519D3Z1L2iqCTaKkTJ/BKNdTxo9+o2R9swScLVu2bNl6y8JewGS26ioYlghUfPF2GdB3sKCU2FRZMvVr9VAuMnRki1yCjP5pBHFV9USZth3ajsEXsU8EQn4c+1MP98Xf8X6CV56LzCfBIYEe/f+4hzJ98mI9Dm4dHM3TVOAdAW1kWmOdUTaPDG6V3O1MY2yDgJQANLLDHsHbUjci2vsxjmfM8VyNuiK7GsdVV5aAs2XLli1br1kCgJeqnPLEF+8NmrrbBkHWYpVBQPTjI9hgvVWSI335nAkkI+jAlHWBCTvgbpwnaHHQRZ/DyPY1VAYQlHU9gratLtiNwJaA1M8PaCogjZG17XCdoJWsGcEK56mxi88o6qrvokxkPgfCdQLQAZUBffTdo5TdCvXUMW+UsQdUHvNAmuvoHzkmm/FQun67yomrJXvdDpW3LmyrSA8zoKnPuR7a9j5lAJgtW7Zs2XrLEgC8LCzGvpg740KfNLJHXPh9cR9UNxqUQQ111BmBWAv3REaNIIJAlLKnL+bOhA2FNvtVMGDeHn3Z2uH+yBzxWn+olz5rBGjtUIenVuG4/Zhg1q8x8IL+hJSZvb5BlcFNS1Pn10EsgWYdbcWxxnpiKpWqsVBejVJxHCPnq6pPfJaL1E0Bs0xmSzEnK2Qzd4T7HeD5s/BAGLLHzOXYrywBZ8uWLVu2XrMQBRwjN4dkMzyqtqVuIl36iTVku62rAARkq7iwU96MkmEEJQRXBJ5RgiQAoIwZWbD+UCYCh3pok/J09Bdknz0owa9VsY0cF1lK+it6WaY14T2xbL3ifDPcQ6BcJeVWzXsd5avmoBXaYf/Yd8rtHKvLwlH69j2IB3HddwJJ45izVV0AN6giHyX9POkXGAGoX2d0dFM5CCRbtmzZsvWaAQCS0fJFf76KVBx+3iNJKWUysIPAqR6uVdVPUEbWqBHKEWgwQMABwnxNBUVV8ibZTe/PIOqsqRvY4vUQpFCqJpBj35rqypRRLmbffVyUlaMvW2TSWvhNwMjn4f3ndc53I7QV665iEB2UertkE/sr6o9uAF6OLCLBKdshUIuuAy6te/8G0B7Z24aKtEWcfwJgtl1XEQWfAWC2bNmyZesdAwB0BosgbkhTF2lGeUZA1UI9kcXjAuyyaFVQAOXb+epu20WQGHPyOZCqYtciKHWJ0Mc1CkBA9tIBH1mrVvgQJEafOd7jdXvELuVzB1Cee5EANoJQv4eMH0Eo/dscCFLCj75/fp5pZAhk6es3P/32XHucp8hGxnmk3B3fGW/b3wcmBSf4juzvPNTVDtf61X2P4jtIH0bvU/YBzJYtW7ZsvWXIA0jfrXZYKLmIskxbU9kXsnMEYLw/MnlkY8ji1EN7BEVcxEc0NX1JzIkXGTSybC2VwRVZyf5wPcqskdGLDCXBpc+FA1aC69gHguNmaLsfbfOYbREQEpyybzG1jLfvPoOcq+jHyHbmoW90JaAMHOfX73Vg2QhtUlaOfzrYvsvF9dDmQLgvgmYmw84+gNmyZcuWrbcsSMD1sOhGmS9Kh7FszLsWJUiyLmSteN6BjLN8tXAPmSz3RxxDHxzwrEM5gp1WxTcTVjdkthbHUe4lKHNfs3Y4biSA4f2uqTwPcdxRniVryLET0FIS5Zx7OU/yPKBylCxT64xoqrzbxn1VALYVzvM9oJ8k3yV/RwjKCcb4/jRCO6zfrw2G8qyrrvJcR4nYvwmMMwDMli1btmy9ZQCA3DKrrS6z0lYRuUuQ4wBnIIGITvoeU5EEerHMVsqmrZPZ5bJpV8umb5bNuE42427ZrAdlM/8om7lTNmtStsek7KmTmnbkhKY9a0LTX7pDM07crt3e/oR2f+cTmvPtRzTzM49rxoe3a/bQNs0e2aYZZ+7Q/ltv1f4P36q/29HUCyZX6mWT43qxlumMyZ9pfNvL9LXJz+obOz+jb0+epa9M/ru+rbP0U71XQxOv1LzJN2jx5LH6md6j1uSr9Qe9WddOHqSNk8+WFpvsS9KYXq4rdKRu3/FkXT9xoDbrYP1U79Xk/aabtb+u04G6dfIpWqvnauftpvU6Qndpb/1Wb9cP9GHZ4dI5+oTaOkV3ay89+vB0bdARumHy6bpZ+2vbfTM1qhN19+TeemDnLG3RAdr0yGG6Vgfp3if2Ukcn6LrJZ+qOySdp2eQxWq2jtXHycF2tQ3XFxFFaNHmcrpk8VEOTr9QX9CUNTb5CtYnX6/8m/1Gf0Te0YPL1+q7O1JcnP6d36+d6hy7Qu/ULvW3yt3qt6nrO5DodPrFRe993t2Zv2KZZnUc169LHtNs5T8im36/pc3do93c8od3f/IR2O/UJTXvOhOzoCdmRE7J9JmV7TspmT6bneZds93tlu90jm3GrbPoama1XkZNvtYqckitUgOsxFdG8i9LxmLq5JYfwae/iQ9Drv10+p49hTGFE+d5B4ZCyBJwtW7Zs2XrNEgAsZNRn2MXqMkYOAN0vzyMvyV611PVdI+Pk7M2opjJG/SpHcZKNGQxl0u+DH8bCXUf5AXwYWdqfAAYd/qN/msuEbZldoXJqkIVhnGSy+DuCEjJiyzEO5p2jdMsghoFQp7OfLXX32W2GspF99OCTTiq/SAUg57N0cOSRtb5v86LUloN9zgflVbbpQUH0ORzEeUq1VXMV6+Q9cT5b4X5/JxemcY+kMSxWATRXp+d6hcyul828Rrb3LbL9bpI9+z7ZMVtlL98hO2lSGQBmy5YtW7ZeM+QBdGnMwRH9/RiEQOd9+mfF4AEyMTEwwqXIVqg3Lvbp+43ck5j1RB8xSo++f6z7enVwD8FFS2Z3hjbj1mLRd41zxb4z1YkzpATLVWAoMl30k3TwuFhTEycTSA+pC+guT2NdnPqwRl1Q5vPnMjfPr031+v66Pl/Dqd5x9JXsG+e0HtrwMozarZpXB/2RnfM5JtPHd4r+gjFoJaa+icDV626q2AknA8Bs2bJly9Y7hiAQz41GMFeVl88XVTI4vO6sYBv3u9TGQAdnB2PErPvOUbIbRj1sk75w7XDsdTM4goEQBDMRQCZQ9KEbwnUHZdGPjWP3eSOA8XPzVY6urod7CYgohfocLUDf6S9IcOPA1+XVlroyq8/bInWZvmWpPvcHjCBpUEWQB8Fm3DUm+tQRyEX/ST+O6XoIIN2fkH8IYlAQ58DBcHwX6T9I9jemorlQlgFgtmzZsmXrIcNewDHSlgwLpdko3zmYi9GzrYo6wXTtvzOUdcf9m3BvI7TvbVYFGFyVjhegzVvRhwgc2TaBoQcWLAeAiIEJlCZjahGOZSj8bodPTKHD6NxWaJvyr2+b5vPkwMmlV2f2RtQFS87kMShkkQpmz0FhQ11g6KDbx9FE/f5smGqGjKzfrIrlAgAAIABJREFU5/NJ14DIMMc54J8EB4V8n7xeH3P8E1IV2VzFGJOdzRJwtmzZsmXrLcNewL4wkuGqY0ElyBtDGb+H0bmUQVcEQJNYpecLC7RH87bV3faL4KGtIqq3Sgb1OtdrapSw7w8cwQmlQUYCkxly3zhKmfTliyC0EdogE8Z6YgoVgiIHWASpZNta6gI/Ap4InhwY+f0EsIycHUnnlqW2x9SVfZvqgsNhtEfgNaipz8H77u8RwXEb5wkUCer5qaubO5H+hZHNbYZzVQCd0nP8M3ORLAPAbNmyZcvWQxb2AuZ2ZiEX24E7sAjfojIYY2oNX4h9ob4Oi68HI/QDdLAesnUEP3XZHOE8WaK48NNnkYEPBEiUZqtYyl2V5bywTvqUxfv9XqbFqQKKZBJjepfYdpyHpqoBuB+75EzZeD7Osa26isAKyvZVMitz79VxLc4dwd8orkUW1MfjIJjMH4HxcrRPQOnnIptYJcczeKWlvBVctmzZsmXrNUMaGOZOI4uSQMmcCSyeK7CAMoKXOdh8ce2oDDR43QEjWSpKrPT92oCFPpZxoBN9vSirMjqZiz+lWQIaBi3E+WA97D/HQWbQQegCtN0M99dVHhOBZDN8s38cI1m12Gevz/0iozxax3eMXI45AQloCfgIEFmeffR7uaUbo4bj/RzbcnW3eBtUwQoTZDpz2a/yuCMr6PPgv3MQSLZs2bJl6y0DAHSmpCoCmEwTGR1fmAdVsDtjaREeUwH8OmnRXqUCNF6uIi3HBtm0a4rcgLNuku1+nWyvO2X73Cl70p9kT5qUPWVCts9jsoMke4Zkx0r2IsmOlOxEyV4j2Zsle7dkp0v2L5J9SLIzJPuyZF+T7OuS/UCy/06fr0n2bcn+N/3+rWQ/kuznki2Q7DLJLpLsfMl+LNl3JTs7Xf+9ZHXJfiXZpZJ9R7LfpOOLJfupZL9I138h2bmSfV+yN0n2ztSPn6V6f5n6UEvnL5ZsULILJJsv2a/Tp53qOD/17+fpc0mq59eprvNS/36Xrp+Xrl2Qzn89tfcdyf5Dsm9I9u+SfVKyj0n2cclOS3P3Sslen+b6eZJNv1u2v2RPl+ypku0/Kdv7T7In3SPb53bZnFtks26UzbxONv2a9HyvTJ81KtKxLFXBKq5QOe9fR910LgwuIUiki0A/ynBf6ibKerkov/O9JTBtKSeCzpYtW7ZsvWaQgF2iY9LnUTA0C9MiO57OD6fPonRtTVrgl6fjzSrk33tl9qDMHpXt9njx/eTHZNMfk71nh+zk7bI3bpe9e6fsrJ0FeLsggaULpWkrHpMt3q5ZVz6g/bbcoaPuWq99b7hbL75nhQ6870bZmHT0Q6v1ggcu15mPfU/HPrREb3higY5/bJFO2j6iL09+Tm/cfpneo59r7uTFerMu0SmTbb1p8hK9RX/QiRrVi7RCJ2lYb9RlOmZymd6p3+iFWql/1v/IviIdp0V6jtbplRrSSRrRabpI0zbv0Eu0VC/RUh2rxXqhVupgbdaLtUzP1yod8PBNevJjt8tu3C57pbTHHQ9p74fu0jO3XaeTNKKnT9yoY7VYBz5xvV6qJTpKV+g4LdQJ6uhordbLNK4+NXWSRnSMluskjehlGtfztEav0qBeoWG9UkN6hy7Q0Vqt0/UrvVotPXPndXqVBtWnpk7TRTp2YrHepMv0d5MNvW5HTS9/bFxHPbJeL390XCds6+jYh5fo2AeX6vj7F+lpf9yiI+/bqCPu2KADbr1ZVp+QzX6iALPNCdkfEhj9+KTsaxOyj+2UvXen7E3bZcdvl73kcdnzHpPNfkw257HiWdsjMtsisxvT56oEDlel92RchTvAePosVDf6eSS9e8Mqp8vxwJPhcM2PPY3NSHpXl6XjJWh3vWz3q2W7b84AMFu2bNmy9ZwlADgPrAp9syLD59Ig5Uf6asVACfqjVeSBm7MVizllyU0q+6354r4U91PKc3byWrSZmMvdPdgk+tDx2OsaxdjbMrteXXaJcu5AqIcSJpNRNxPoYBsDKs8RJeR2aI/j584slJsZiUvZfUDdYB0HQi2VAzoc5A+mfg6oAGCDKsBYK805x8g+enuU8mOSasr+LjHHLdyY0oXjq1XMTWTvGBziwJG/nXEcTWNZpoKJXqPiPbtFWQLOli1btmy9ZmErOPenYhoYRng6oGgAIDA1B4GZL9aDacGlU76DgMsDEGipy+zE/HBt2dFCG5T0PCAhgq22uulhvJ6hcN2PBxM44LUO5sJBlrfFgJdYl59rpjrcj5ERrBEg+bwyuGIg1OfzydyCTKhNAN/BNZfkvX7KoEMqz8tIOl6W7vXdRRoo7/cOV9QZg0aqcgbGQBjOm6eoiYnEo29k/CY49Dn2enwueQ/fn5wGJlu2bNmy9ZYlAFhTIeW6PHaNCgn3ZhUsye2yfR+WveNR2SGPyF65TfbRJ2Tv2y777HbZBdKTl9+hZ6zZohOvGtMbr52nIzdt1OlbfqOz7vmufr3tdH1l2xf0Tw+fqwV6vS7SW9VUn5bopVo/caRW6QX6vj6qC/U2Xa1n6YHts3W39tb1OlDn613asv0ZWj1xtPRj04V6m/5bH9bFOlXnT7xLv3vkbfrWE/+qj+r7+qD+V+/TeXqHLtAbJi/T321v6sTHOzp262IdvXmjnrviKh05vElP/fXdOvwX1+rZF1ynI8/dpEPO3qKDv36TjvzPTTrkU1t0yFlb9Iz33qb9z7hLs161TXNe/5D2Pe2P2udND+jJr79Pe732T9rn5Ac0/bgdmvmaRzX7xEc0++WPaPZJj2iPEx/WrBO2acbxT2jG8Q/KXjwpO/AB2TPv127HPy57yYSmHbtDs058VDNfXtw76+XbNOflD2nO6x7Snqc8qDmveEh7vWWr9n79Vu396q2a/dpHtP/pd+nJ77xP+33gXj3to3fogLPu1AHvv0PPOvMGHXzOTTr07Bv1rO/eoMN/fK0O/9W1OqpxjZ6/YoOev2GDjl65US+89Qq94olhvWL7sN4wOU/v0c/1LxM/0sf0PX1U39d5j79f39HH9Q19Rj+a/Bf9bPIM/UTv13t1nuyfpbP1bzpf79JqHa3lOkbv1U+1Ui/UpXqTfqF3a0QnalzHa4Fep2/qX3WRTtP5epe+P/lRfWvrv+rTD5yjL9/xH/rAlvN06nWX6DXrmzpxzZhm1h7V9PY22bmTsn/fKTvtcdlrH5W9aJts30dkuz8kswdUuBFcJ7MbVEjIa1Wk/lmrbtLrjrpuDO6m4N8OXhm85GxlBoDZsmXLlq23LAHAARVs3Ma0uG5RkZD5JpndJtvzdtl+98uO2CE7aEJ22E7ZMSkg43DJ3iDZWyX7sGTvl+yrKajgUyng4Jsp4OBTkn0+BR58RbLPpO9vSPYRXPsnyT4q2dslOzV9vzHVeWwKVHjJ9sLf7LnbZEc9KHveNtnhf5IdtLUAXPvdI3vG/bKn3CPb9z7ZPvfI7C6Z3SObdq/M7iiArd2mQuq9OX1uSOD3mgQ41gJsLFUR5JB8yErBLctUBDysUuEHuUJFlKpvy+b78vo+tSvS+VWp3lVp7v3aCtSxOn1flZ7RptTHjekZ+fO6WWZ3y3bfKrM7ZdNvk824U7bPvbI97pI99R7ZPvfLnnSf7ID7ZYf+UfbsrbLnPih74TbZCx6XvVqyF00U38+R7HjJ7NYiKOTUFCjyfslOluyDkr1Psn9Oz/eTkn1CsrNU+HJ+SbJ/S8/4P1Lgycck+1cVQTunp3fn1ZK9TLKTUuDJYTtlhzwqe2oKNpl9l2zmHSrk2ptU+BJuwh+W1WluOwCC7kPoTKUHKXmC7LE0/yPKEnC2bNmyZes1gwQcJUw/dmnX5U/KlZRt6+pKqPQXc/+xKGOm9qbdqamRm420qDOnH1O3tDVVEmXiZI7DExtX5d/jOCll+rWYtLmNe9pok/W5nBx3BokSOPPTsW6mcmE//Fkwx199F/fEvvVrqiRKJsyfX9xxhbK0j4v+nSwXZWBvYxD100+Uc8mE4OH9+PMziHkPh3Ef80H6vZSa+TwaqMvnMucBzJYtW7ZsvWXYC9gX5rgDhy+4TRUs1kBYXJnfraNyqg539o+JdwE+dt+psq+X37MM7cTchBEsDuJ8FYBhf2MC6H60y/qZXLqFMjWMkT560ReNgI35CT0fYARj3q73dwHaIej089E3zsfYqDhmLj/vR03l1D/c79g/Pq8EZBxbvaJ9+o4yByKfu59nsAyfCXf/4LP2cY+oYEvdx5L7Fvt1BtoQDLM/3vcsAWfLli1btt4ybAVH8MKIUgZpDMt2ewSL9p3pu6Zu5CYXcy62a1UGQl7nYrThYMoXegIor3NxxXkGoNQ1FdgNoDyBpn/iPRx7q+KeejgXGUcmPOYuKT7HC1QGcNyGjsCZAIaAKwZbsC4ykpHdbKiQPgngfMzcWi0C9wjeCaQJtgdUnnMCRjKOZGO5NVycE7bLnUg8/ZCXvwNtVeX7q4d2fJ5yIuhs2bJly9abFhJB+yJOOZEMSqPwBfvz9S1YUMm2Ve02MaQyQCELw8jXVigXmbWYMoTsTpRZCcD8nIMaB61kpaoATpRMCa583JQgKQFHRpJ1xnaqQFu8h3URcMZt5mI73KHD54EpUyKA3lU/miq7AVDOJsibH+aBgD9Kx43QTpWcS9m46j0Y1VSAXPU+xrlz4J0l4GzZsmXL1luWAODvsQiThaLsmoDgzD9hcV6oMgCKgI2+f8xtR0AV/dFYlrKl37cKbdCXjH1vhvsbKjNSDhq975Qq/TfTv8Q9jsnw1cP9PhYC4wiS6xXtNjW1HwSHnAMyWI2K+xqhvarxE+BxNw0HeQ6sCJrc947grgqcEYRVSeRkb9mPyNByrJSVdzV+spW8J7KylM4zA5gtW7Zs2XrPwAASjBGcEQj1q7vbgi+unnTXF+9x3Bt9CQncuPiPYXEfBWDooC72LcqLBCgMLCALN6gi4TVBRJV/GMEIAWVNU1kk+rIRbBCcMOlxBNbsJ4FSBJOUeVlHBDwRULV1hH0z9JPjZD/8Hn82zhr6bjAjeN6U3v158P1JoPC9D+E35d7ICHJc9F3knHBunb1bou476c/Y6x7XVLBHIEqQfoksA8Bs2bJly9ZDhq3gKBtSMmXutLqKFCdcvKOkulxl/y2XeKO8iITGcyZUBlcEhpGpmgfAQRawpalSMsHDoMqgwr89KCOCsTbu5zGZqoamAjiCDW+HPm3tNN/zcB+BWT/uZQAEI37po8l7FoR+EgxzLJSfydQSCA/gej20E5nUejj26wSxlMg51w4K/fny2bKfg7inLbOVKvxB/VkvCfMfI8+jFM7nnBnAbNmyZcvWW4YoYDIvcTGnU39HRd47X+TXqss8xSAQ/66l72W4j/LrMgAA7gQR/dAIOsm61VQGWmT4yozY1OtRlqxXlCUQYX/IBFJyJbMVAWQ79DfKxWzHAR0BNueCn+gzGNnMv/RNX0YCJo4pSrf04YvMWhwvWT5GhBPQtVU9Ns6Rs5DOFvo2di0VUcEEtbEOMshx7vJewNmyZcuWrbcMPoDRR40gjbJfW3ac1GWibkZZpixp4Zz/XohF2MECo3Qp7bZT/Z6nzttrq7tdmfvnjaS6htWVpMdVMIgeMbpQ3X1hx1QkX/bEzOMqmMuFKLtaBcO0IpVdoQLsrkzfngz6SnUTRa9XkSjaz/vxWhVJnK9Iba+X2YZU5qpU1xUqkj2vTec3pHMbUa/vY7s69cMTUS9LY1mV+j+YvkfTJ+6U4fOyWOW9c52ZHcW8c69dAmM+J/9NppNgkGlzCATbaLMVPtG/kOCb93nqoZFQfqm6DDJld/ou+rXMAGbLli1btt6yfcxM67Y+XTvq06WPmiYvNOl0k/7BpP9n0v+aNM/0P/qgLph4hx68Z6a2vs608r4X6Q9bT9Wv7vl/+tSj5+gFO1fp9Q/UdNiKG3XY6I067Cc36qBP3qLdX/K49j5xq+Yc87BmP+cR2SE7ZfveLnv6pGzPLbJ97pPNvkW2242y3a6WTduiYpeHKxI42qDudl8rEwBanj7j6u6wsTSBgYXp/Gj6XpjAwZL07btyjKSP1zGuLpgcTABpYarTz42k8+4H6duMObDxHSc8D91ouMdB7Qh++8fLeD/890LU18G1QZQZw/kRFUCQaV+8PQeAcV4c+C5NH9+hZLEKcLk8zftwOl4js3WyadfIbLNst42y3TbLZm+R7X2XbL/7ZLO2yA76k2Ye9qD2PvJP2vOYB3XAKXfqGR+4XYd9sng/Dlt2ow676kb1bW3piw98Ub+7921acfcxeuLK6ZocMu1cbtI3Tdpg0kfSe/klkz5o0gUmfcykU007PzlNj9Zn6ZGLZ+uPlzxJV048W+t2Ple3ffBA1R98nT5x37f1ybv/S0fdul5PuvEO2e8k+07ajeSEncoMYLZs2bJl6zXDXsBkd/hx9o6sD336XIaN9zgjFP3f6GdIWbfqHjJGvNZQIY96v2KqFPqSxVQ0zVAXJU72h1GnbdRHditKyN4epXDKjz6m+SqDPy/DQBPKsGRTKetSrqe0HfM4chxRvo2ycpRQXYqO0bRedz3c532LfoPsX3QDiOOI70RkhP33ShV/EDxYRepGKQ+oYEf92JlM9xX15zGsDACzZcuWLVuvWQKALvHVsUgyipaLs8t3vrDTdy6CgXk4T2DhizClveg/F33I2I9d+b21K+6P90XfPZaPgRb10HYM9mDQhLdFwEMg5PPJpM8MfImAjgEmcZ4I7CIobWn/w2PuwxhswmAO+jPyevRfjIEt0d/Pr3tfairPV7Oinaa64LKhOI7uH4EYzOHgzVlX7+edKEvAF3cy2RjmNUvA2bJly5btb8d+bGZj6fgDZrbKzJaY2QVmtns6/0YzW2lmi8ys38z2TeePM7OlZrbQzEbN7JBdtJEAIKNk6cfHXHTzAyjwPV59kSaTxgACByAObBhVXBWUEEGFs1n9qCsGqHAruJbKICWC0wgyCE6YjiTWU+WfRuYs5u1j/dEvkvU7KJyvMhB3wMkoZQZQ0G8ugl+2QbDndfoziKCcY69iUAn0IpNLwBX99RgN7NcHcX4+2iX7Gcfhc96v8vvh76HL597Xa9TdJYSM7nKVwX/eCi5btmzZsv1t2GutAHVjZvZMM7vVzJ6Urp1vZp82s1lmdoeZHZrOf9nMfpiOrzazE9Px+8ysvot2QhAI5cqq6FBG3i7CYuxMTpW8SHaOwMEX/rrKwCnKhI1wT5RsIwPYDN9kmtzXjoCM25exD5HZdNaJv8lmESwxlQl3zogyboxGjqCUkjmlVUrCBGcu5RPIUwJuhnOtcK2Je5kGhvMTwaa/Ky7x7ortizJ0veIc64vzzOfj75qD/w2p/ctRV1tma2RzpPK7xPF4/zIDmC1btmzZ/vq2r5mtMbNjzWzcCvbvAlx/rRWs3ilmthjnjzCz660AhLfi/Ewz22Zm0yvaQh5ASn81gBn6pLVxPkqnzYpz3P6Ni3mVpNlUmeWJjFMV8+ZsGZmhFsbDXHBejyeaJuj0+2vqStNRbo3so9/v5Qky/PqCcK6lAoDOqwAhPgdRrub9kWnk+KrkWTKFXk+MqiXT19TUOfd57Q/1xjnsr7in6jpTsTTDPWTqqp5//Pg75mB4SGY3hrY9yrkZ2lmCZ5YZwGzZsmXL9te335jZXCuA3LiZfd7MvoPrzzezzWb2LjO7BOf3NLPHzOwEM7s81HmvmT2toi0AwIVY6ClBNsIx/cPI8kTHfwco/SqzR/RbIxCIcrBLo/3hGu9fHPrswNXLEtw4CBrHdTJVNZVBTF1FtGuVRB1l0l35zjVxjn6UzKtI9pLAKQZdkF1kO94G07RQ6qZ0TBDoku0Q2iEQpI9iBHaR8YvjoO8i6+W74vMe55R95xjaKr+P/KMwhPtGUF9DRaDIcsyZ93cF6s57AWfLli1btr+uvd0KAGhm9iwrAOAXrAwAX2Bm19hUALiXmT1qBQBcHeq938wOqGgvAcBLVaQLaaoMxqJE2AhlCCwIbPpDOUqelPgiqKPcHAGOAwuySksDOCAoIEjwc9yyzOtjgAABm7NnjGwmuPM+EnhxnGRTfU6iZBzP814fE/vTVNl/zwFllMwJ0L3vC1RmwqJ0TiDOufak1dFHL4L9fpXnkM+D7CJBYyv85hgGcZ3nfHx+3FIB+u5Mx+vUfZcHZXa97HVS11fQx9fBfGYGMFu2bNmy/XXt91bIv8vNbJ2ZPWhmO8zsQpR5o5kNmtkrzGwZzj/PCmbwmVb4BrrNMbOHzWxaRXsJAL5ZZqfJ7K0y+3oFyCHT11YhYdLhn4AuMjsMgvB7LlMZhPi2aARDLu9RPibooUQbZVaykzx2IOMs0RDa2JXMykCNlorAAgKhOEa26yBoIeaknQCK9/Wy0PcqPz3OafQ9jFue8ZkMqQB+w6kdl0mjpM/n60zo/PDMIxsY5yhK9D4nHENkWClbNyrKxece74198/FfHuaNffLvb8jsHTKbK7M3yTIAzJYtW7ZsfyN2qBVBIAeY2c1m9pR0/iIz+4gVkcC3WOH7Z2b2LTM7Jx2vM7OT0/FHrACWVZYA4B/CoktGK7I5vqDSx41yJdmyqsWfbUS/rLq6OztEALAwABzKqhEU8fq6ClCyHe0xuIDg08cT/Qs3q8wuxjESOFOKbuPckjBfZFwjc0pgGGVSyrsEOpGl9YCODu4hu8n2CdT9PkaGk40kUxjfF8rUkeVk/6qkezKt8Z2Mz4fz7m3FfJRkhn0+B1W8G01lBjBbtmzZsv0t2aHWTQPzLiv8+paY2XnWDejoM7MVVkQMX2KFH6CZ2YtS2UVm1rZq/z+zPwPAC7GQ+r69kZ2JAM4X+OjcTzBI6dAjNwluXJp0EFaXzdiC9gjOnEUjS9ZS4adHxszrdtCySGWw2pTZ9enbk0k781XFRq0JACLKrA6gKFW77yNBB5lU+rNFlq8dyvr8EkCyDm7T55Kz94PAzUGRB0WMpXK+o4mPy2VS322kpa6kGsE9ZV+fN+/LAhy31ZWSo/wdmUS+Nz5v9CUl6Oc7GsEoZfQhFX6ABLs19P1CWQaA2bJly5athywBwIuxSJONIQvnOyxw4fWUKs5UtfFNKbIfvy9L36O41+t1kEDplQwYF/p0/CxVAAKyUQSLUeL1frk/mYMC+p+NqsxKRbDGYwJFtlclT0d/vFYox1QycWyd8HxYrhXOcTy+LzL3WCZIZJ1j6Z7F6bczhj7/wyo/ixgF7PM7iOuUb6uej89NTCAeJWNvy9MI7eLdKAH5TpjXBtrODGC2bNmyZestgwTsCymZK0/QG5kXyqyDKi/izvTFQA8u3M7KUN5jhGlk+WK0KX0APakv895RguViH9k4Xqe0SFDkwJgRxYvVDb6Icm2sy4El07G0Vfghxi34IntFybSuMrMXJXmO2c9XBa84+HZgOKIyMCKAYjsj/1979xdqWVUHcPw7KJM4akkP5ozICBalIgqlluUoBWkTOD5IBA6+SJov9iQaxqiUSi8qPqjIIMTM3H/z787MHc2iGnUmoz8ooWgq5Egq+SCiVi+2ffjtxfndddcdQpxzzu1+P3A4+6y7z96/ve4e7m9+a+29u8Hw6mza5mPV+nlofzZ9Z6762d60fp7Ll5P5ej5m/Z+JPC8xn7t1pbWP9Qtdtc99/XF5H0BJ0vKSEsC6YpcTvjKsWN+ipK625apOq/qWtzFbLe+rPucrS3dX65crQu/ojrnwjdSWq2RlKDsPS+6vtrerGzzhpE60Snsr5vqijZx05GPZVX03r3PnIsdfJ5V5XmBOjlrDyzkxy1XInDTlRCwfS06w87B/fWHOzi4uFKorf7vTvnPcexr72d0tPG/2VfvLyV+ubpa4dnaDxLrsN+8/ny/lu7dX/VmSYG8DI0laXhoVwF1VMlAP6ebKXa6ilUSoTkjq+YO7G9sviUBO8Oqh1pIY/DJt86pufrKXK4e54pWHB3OcOZ4yzFmStnquXzn2VpKa5//VVbT8OQ9Vbqj6MPfz/qqtTiDLNvMtWnJMrSpnTsbrhDZX73KCX75f3yPxykX6so6vrLMjbSevl+c35vjrinGu+tZzUevh8rlu4TmW+zz3T9nPTIcJoCRpGUlzAHM1Jg/Hlj+UeWiz/uOfhytz5ag1nJkTvL3VqzXXK2+ztJck9coUx/70nT2NbefKWZ5rmI9jb7Xf+rjz8cyl9XIflPdyQU09HFzi2FDFkJPBPKSb91NfdNNK5kr/1P3S6qMyxF//jsvFOXX/lPhK7LPd/P4piVhOHnP/z3WDyupc+k5d2Zxt7Lu1zTwMnn/n+Rwrt8nZ0w0SwFypnuu8CESStNz0CeDmLuZBTXZRDZnooio4k9onuriAY6L/gzndv8r65X1b/z7df2+q2u5E2u5UaptI+yjbmKz2n2Pa1sX9C6fTz6bT9mf6bZX2sv/pDrY24p5Ky9vTtsp3t6btTvbt27uobpX2bSn20leTqW0qHfN3Uvu2qk9K3KXfprp2jOU9L5d+fybFlfu97u/8O5hM73X7ZPq8vhFHPh9Kn5f4Sx9tr/a5pXFs27v5seVjyPH1fXTpu2mfeb2Z6vszfZ/nz2Xfj3aYAEqSlpE1xB8+X758xb8HSZL+760g/uid5MvXMn+tof20HEmSJEmSJEmSJGmJuAX4A3AQuHfEsbSsA94hHof32/7988C1RNxPAb8gnokMcAXwDPH4uz3Ap4ccL/0+J4E3U9ticX0ZeBr4HfBr4PS+/QziWJ8kjvH8ox10rxX7f5nf/1f37eMW+y3EoxIPEefEsSydfpckaWi+AjwLrCTmPT0BbBhpRAutY/As5GINcBj4TP95M/Aj4FPAP4jnJwP8BLh/CDHW9gM/AN7oP7fiuq9ffh74ar+8EZjtl+eIZz8DfAN47ijGm9WxA3y4yLrjFPvXiHO5PB97BriRpdPvkiQNzSaGQEcjAAACyUlEQVTgzvT5OuCREcWymFYCeC1R4Sm+RVRx1hGVm+JM4JWjGl3biUTSUZKoVlwv9+scTu0rgfeJytW/GFQ1AV5nOFen1rFDVABr4xb7CmBV+vwgcDNLp98lSRqah4kqSbEeeGxEsSxmHfAqUdE5CNxDVHJ+ntY5G3iRqNxMp/ZVwL+HE+YCOYn6Pu24LiKGLLN/Aqv79+yPwIWffJhNrQRwM5FMbQFOIapn4xg7RKJ3mBgSXkr9LknSUNQJ4HeJIcBxshq4hqjOrAQeB37M/ATwHOAFFiaAJxAVnVE4UgJY4rqISDCyt4FT+/fsT8AFn3yYTXUCeAPw2X75duJYWgngOMR+LlHl+yZLr98lSRqK24Cfps8/BB4aUSz/qxuJYd0tqe0KIjG8mKgSFl8iKoOjkJOor9OOaw0xR604HniPSHQ/6N+Lt4DPHa1gK3UCmJ0F/I3xjP184CVibissvX6XJGkozgP+ChxHVNgOAJePNKKFNgI/65dXADuAW4G/M6hKbQWuJ+ZuvUYMAQLcRQwZj8JaBlfSrmRhXHf3y38BLumXryeuwAXYScx1BPg2cSXrsKxlEPtZwD7i/AC4CZjql8cp9uOJ5O7s1NY6H8a53yVJGpqbiNupHALuGHEsLauIYbyDRIwPAMcA3yOGIJ8iqpbl6s/LgN8Tyew08y8MGIaTidulHAL+Q1zAcv8R4jqXOIYDxPD7KX37acCviHl3vwG+OMLYNwF/7n+2lxgqHbfYryOGb/Ptam5lafS7JEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEnSx/YRyUfJ6Fbs6QsAAAAASUVORK5CYII=\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(squeeze=True)\n",
    "ax.imshow(test_dat, vmax = 1000)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#hdulist.writeto('test.fits', clobber = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "hdulist.close()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3rc1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}