Created
December 17, 2014 19:56
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Ocean Dimensionless Vertical Coordinates
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{ | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "%matplotlib inline\n%load_ext pymatbridge", | |
"prompt_number": 1, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": "Starting MATLAB on ZMQ socket ipc:///tmp/pymatbridge\nSend 'exit' command to kill the server\n.", | |
"stream": "stdout" | |
}, | |
{ | |
"output_type": "stream", | |
"text": ".", | |
"stream": "stdout" | |
}, | |
{ | |
"output_type": "stream", | |
"text": ".", | |
"stream": "stdout" | |
}, | |
{ | |
"output_type": "stream", | |
"text": ".", | |
"stream": "stdout" | |
}, | |
{ | |
"output_type": "stream", | |
"text": "MATLAB started and connected!\n", | |
"stream": "stdout" | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "import sys\nimport os.path\n\npath = os.path.expanduser('~/Dropbox/pymodules/forks/iris/build/lib/')\nsys.path.insert(0, path)\n\nimport iris\nimport iris.plot as iplt\nimport matplotlib.pyplot as plt\nfrom iris.fileformats.cf import reference_terms\n\niris.FUTURE.netcdf_promote = True", | |
"prompt_number": 2, | |
"outputs": [], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "print(iris.__version__)\nprint(os.path.abspath(iris.__file__))\n\nreference_terms", | |
"prompt_number": 3, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": "1.8.0-DEV\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/__init__.py\n", | |
"stream": "stdout" | |
}, | |
{ | |
"text": "{'atmosphere_hybrid_height_coordinate': ['orog'],\n 'atmosphere_hybrid_sigma_pressure_coordinate': ['ps'],\n 'atmosphere_sigma_coordinate': ['ps'],\n 'atmosphere_sleve_coordinate': ['zsurf1', 'zsurf2'],\n 'ocean_s_coordinate': ['eta'],\n 'ocean_s_coordinate_g1': ['eta'],\n 'ocean_s_coordinate_g2': ['eta'],\n 'ocean_sigma_coordinate': ['eta'],\n 'ocean_sigma_z_coordinate': ['eta']}", | |
"output_type": "pyout", | |
"metadata": {}, | |
"prompt_number": 3 | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "def show_coords(cube):\n coords = [dim.name() for dim in cube.dim_coords]\n coords.extend([coord.name() for coord in cube.coords(axis='Z')])\n for coord in set(coords):\n if coord.startswith('ocean_s') or coord == 'sea_surface_height_above_reference_ellipsoid':\n print('*{}*'.format(coord))\n else:\n print(coord)\n \n\ndef plot_profile(cube):\n coord = cube.coord('sea_surface_height_above_reference_ellipsoid')\n lon = cube.coord(axis='X').points.squeeze()\n lat = cube.coord(axis='Y').points.squeeze()\n depth = coord.points.min()\n \n fig, ax = plt.subplots(figsize=(5, 6))\n kw = dict(linewidth=2, color=(.3, .4, .5),\n alpha=0.75, marker='o', label='iris')\n iplt.plot(cube, coord, **kw)\n ax.grid()\n ax.set_ylabel('{} ({})'.format(coord.standard_name, coord.units))\n ax.set_xlabel('{} ({})'.format(cube.name(), cube.units))\n ax.set_title('lon: {}\\nlat: {}\\nMax depth = {}'.format(lon, lat, depth))\n return fig, ax\n\n\nkw = dict(linewidth=2, color=(0.6, 0.1, 0.15),\n alpha=0.75, label='nctoolbox')\n\nleg = dict(numpoints=1, loc='best', framealpha=0)", | |
"prompt_number": 4, | |
"outputs": [], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "markdown", | |
"source": "# [ocean_sigma_coordinate](http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/build/apd.html)\n\n$z(n,k,j,i) = \\eta(n,j,i) + \\sigma(k) \\left[ h(j,i) + \\eta(n,j,i) \\right]$" | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "url = \"http://colossus.dl.stevens-tech.edu:8080/thredds/dodsC/latest/Bight_gcmplt.nc\"\ncube = iris.load_cube(url, 'sea_water_salinity')", | |
"prompt_number": 5, | |
"outputs": [], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "show_coords(cube)", | |
"prompt_number": 6, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": "X-coordinate in Cartesian system\n*sea_surface_height_above_reference_ellipsoid*\ndepth\nY-coordinate in Cartesian system\n*ocean_sigma_coordinate*\nsea_surface_height_above_sea_level\ntime\n", | |
"stream": "stdout" | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "%%matlab -i url -o s -o g\naddpath(genpath('/home/filipe/IOOS/nctoolbox'));\nnc = ncgeodataset(url);\n\ns = nc{'salt'}(end, :, 11, 21);\ng = nc{'salt'}(end, :, 11, 21).grid;", | |
"prompt_number": 7, | |
"outputs": [], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "fig, ax = plot_profile(cube[-1, :, 10, 20])\n\nax.plot(s, g['z'], **kw)\nl = ax.legend(**leg)", | |
"prompt_number": 8, | |
"outputs": [ | |
{ | |
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a7L6/GZioqhc1OieoB1oAv7/gSiqWr2D34WPoduhoZk6fxuRJFiXLMIyDifQD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\nxFHcE3E0tFNsP03S/Lj/ne2N1BQqtL8Ul4dIapF0YFx/SNJ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| |
"text": "<matplotlib.figure.Figure at 0x7fa1dd9b3490>", | |
"output_type": "display_data", | |
"metadata": {} | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "markdown", | |
"source": "# [ocean_s_coordinate](http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/build/apd.html)\n\n$z(n,k,j,i) = \\eta(n,j,i) \\left[ 1+s(k) \\right] + h_c s(k) + \\left[ h(j,i) - h_c \\right] C(k)$\n\nwhere:\n\n$C(k) = (1-b) \\dfrac{\\sinh(a\\ s(k))}{\\sinh(a)} + b \\left[ \\dfrac{\\tanh(a (s(k) + 0.5)}{(2 \\tanh(0.5 a) - 0.5}\\right]$" | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "url = \"http://geoport.whoi.edu/thredds/dodsC/examples/bora_feb.nc\"\ncube = iris.load_cube(url, 'averaged salinity')", | |
"prompt_number": 9, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": "/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/cf.py:1040: UserWarning: Ignoring formula terms variable u'h' referenced by data variable u'Cs_w' via variable u's_w': Dimensions (u'eta_rho', u'xi_rho') do not span (u's_w',)\n warnings.warn(msg)\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/cf.py:1040: UserWarning: Ignoring formula terms variable u'zeta' referenced by data variable u'Cs_w' via variable u's_w': Dimensions (u'ocean_time', u'eta_rho', u'xi_rho') do not span (u's_w',)\n warnings.warn(msg)\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/cf.py:1040: UserWarning: Ignoring formula terms variable u'h' referenced by data variable u'Cs_r' via variable u's_rho': Dimensions (u'eta_rho', u'xi_rho') do not span (u's_rho',)\n warnings.warn(msg)\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/cf.py:1040: UserWarning: Ignoring formula terms variable u'zeta' referenced by data variable u'Cs_r' via variable u's_rho': Dimensions (u'ocean_time', u'eta_rho', u'xi_rho') do not span (u's_rho',)\n warnings.warn(msg)\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/cf.py:1040: UserWarning: Ignoring formula terms variable u'h' referenced by data variable u'v' via variable u's_rho': Dimensions (u'eta_rho', u'xi_rho') do not span (u'ocean_time', u's_rho', u'eta_v', u'xi_v')\n warnings.warn(msg)\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/cf.py:1040: UserWarning: Ignoring formula terms variable u'zeta' referenced by data variable u'v' via variable u's_rho': Dimensions (u'ocean_time', u'eta_rho', u'xi_rho') do not span (u'ocean_time', u's_rho', u'eta_v', u'xi_v')\n warnings.warn(msg)\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/cf.py:1040: UserWarning: Ignoring formula terms variable u'h' referenced by data variable u'u' via variable u's_rho': Dimensions (u'eta_rho', u'xi_rho') do not span (u'ocean_time', u's_rho', u'eta_u', u'xi_u')\n warnings.warn(msg)\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/cf.py:1040: UserWarning: Ignoring formula terms variable u'zeta' referenced by data variable u'u' via variable u's_rho': Dimensions (u'ocean_time', u'eta_rho', u'xi_rho') do not span (u'ocean_time', u's_rho', u'eta_u', u'xi_u')\n warnings.warn(msg)\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/netcdf.py:441: UserWarning: Unable to find coordinate for variable u'zeta'\n '{!r}'.format(name))\n", | |
"stream": "stderr" | |
}, | |
{ | |
"output_type": "stream", | |
"text": "/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/netcdf.py:441: UserWarning: Unable to find coordinate for variable u'h'\n '{!r}'.format(name))\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/netcdf.py:558: UserWarning: Unable to construct Ocean s-coordinate factory due to insufficient source coordinates.\n warnings.warn('{}'.format(e))\n", | |
"stream": "stderr" | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "show_coords(cube)", | |
"prompt_number": 10, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": "*ocean_s_coordinate*\naveraged time since initialization\n*sea_surface_height_above_reference_ellipsoid*\n", | |
"stream": "stdout" | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "%%matlab -i url -o s -o g\naddpath(genpath('/home/filipe/IOOS/nctoolbox'));\nnc = ncgeodataset(url);\n\ns = nc{'salt'}(end, :, 31, 81);\ng = nc{'salt'}(end, :, 31, 81).grid;", | |
"prompt_number": 11, | |
"outputs": [], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "fig, ax = plot_profile(cube[-1, :, 30, 80])\nax.plot(s, g['z'], **kw)\nl = ax.legend(**leg)", | |
"prompt_number": 12, | |
"outputs": [ | |
{ | |
"png": 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RlM8q2VVMnfW1tbVRV1FF+boNVG/Y5AxpPH60vIKmqmqaq6tpraklVlcLzS3J\ni4pEnH80PtFU7Axp7siR5JWMpGDsaIrGjKJ4/FiKx44mMysz1D4/CLdPEkxfmDGjuw2xJdPSVCKA\nahtzbp7Hxv9+wPZjx1GzcXN7IP6rbyxj5dz7aamupbWmxsWP9mWiKSPDpdbzr/YjiorIHllMXolb\ne184ehSFY0cxcvw4CkeNJJoR7f2ahjEMMJ/uNsT/XDabyMYmRqx4l4y6OjKa3bbV3a5i6syILKJ5\n+WQUFpBZUEB2cZH3j5ZQMKaE/FElFPt19/nFhaFY2WQYA435dI1eqa+p47m/30Pmw0+SH+kYTB/L\nzKKJNrJ3ntxNIP5oisaOpmTCOHLycwP6BoYxfDCjmyYGw2dVuWETZbfcyaqnnkHr68lqaqZ5dAn1\ne02BHXZEsnOQjAyoXsU5nVYxlZWVcXCIfWph9/mZvtQIu750YkZ3CLLu/Y959q+3s/6FF9sntLJ2\n2J5JJ85k4QcfMmHX8GfPN4zhStI+XRHJA3bArTJfrap1Kd1Y5OvAbGBP4EBVfTWh7RLgTCAGXKSq\nT3bRf9j5dN9/bTkv/u12Kl5+tX1RQO6ee3DA6Scx9YhDiUQiA5Y93zCGK4GmdhSRAuA7wMnAaGA9\nIMA4YDNwJ/BXVa3t841F9gTagL8AF8eNrohMAe4CDgS2A54GdlfVtk79h4XRVVXeevYlFs+7m9rl\n77jKSISi/fblkDNPY7cD9g1WoGFsY6Tb6PY2/fwgUAPMVNWdVfUzqnqwqk4GjgfqgIf6c2NVfUdV\n3+uiaRZwt6q2qOqHwApgen/uESRlZWUp9Y+1xvjPg0/w15PO5pmfXekMbmYmY2Z8lq/+/WbO+NNv\nUzK4qepLN6YvNUxfeOnRp6uqXxC3bnL7LtrWAXN8GUgmAosSjlfjRrzDgpbGJl6850GW3/9PWjds\nAECys5n4xSM44uzTKJkwLmCFhmGkQq8+XW9031DVPmf3EJGngPFdNF2qqg/7cxbS0b1wE7BIVe/0\nx7cAj6nqA52uvU25F+qra3h27nxWPvwEbdXVAEQKC9l55jF8rvRk8goLAlZoGMODwON0VVVF5BUR\nma6qi/tycVU9sh+a1uAm7OJs7+u2orS0lEmTJgFQXFzMtGnT2sNQ4q8vYT/ed68plP31Thbefx/a\n1MRuhSVEx4yh6VO7ss/nD+PIo44KlV47tuNt7bisrIy5c+cCtNuTdJJU9IKIvAvsCnyE8+OCs8dT\nu++VpADsF1KnAAAgAElEQVQ30v2xqr7ij+MTadPZMpG2a+dhbdhHumW9xCF+suIDnvvr7Wx44aX2\n5bcjdtqRfU/9Ggcef1Tal832pi9oTF9qmL7+E/hI13P0QN9YRL4C3IiLinhURJaq6rGqulxE7gWW\nA63A+aG2rn1k5atv8OItd1C59LX2sK+8KXty4Okns8+MQyz1oGFs4/QlTvezuBHnbSIyBshX1Q/S\nqq5nPaG2xR2yfUVg/4nbUb3oVere8QEbkQjFB+zPoWd9k12m7d3zxQzDGDRCsQW7iMwGPg3soaq7\ni8h2wL2qemi6hCWhKbRGN57ta/zkT8H775P99puw5mNycnMZkV/AuM8ewuFnf4sJu+wUtFTDMDoR\ndJxunK/g4mfrAFR1DWDT6d3w0CMLaGrLIOupBRT9+zlGVJSTUVzC+onjOP2Bv3PSry8P3ODGJxLC\niulLDdMXXpL16Tapalvc3+iXBBvdEIu1oRs3kbN+LW2ZmdTsPRX2nEKk5hOKx44OWp5hGAGS7Ej3\nPhH5C1AsIucA/wJuSZ+soU00GmH3arcyuna3PZF99kUyM8nMCE/+2bDOHMcxfalh+sJLUlZAVa8D\n/uHL7sDPVfXGdAobynxm912JfLiCtmgGbVPcmpK1K5cx87gBDwIxDGOIkZTRFZFrVfVJVf2xL0+J\nyLXpFjdUqXxpKZ+0NVNekk+sYYPLZ1t6SqiyfYXdp2b6UsP0hZdkfbpHAT/rVPelLuqGPWtXfkjl\nq6+RmZXNj26+MfAJM8MwwkVvqR3PA84HdgFWJjQVAC+q6mnpldc9YQ0Zu+eSq1n/TBnFB+zP6X+0\nlwHDGGoEvSLtLuBx4De4UW1cSI2qbk6XqKFK5YbNrH/+RQAOOSuwv0eGYYSYHn26qlqlqh+q6snA\njsARPsdtREQmD4bAoUTZ3+6AlhZy99yD1dXlQcvpkbD71Exfapi+8JLsRNps4KfAJb4qC7drhOGp\nr6lj1ZPPAHDAt74RsBrDMMJKssuAlwH7Aa+o6n6+7vWByDLWX8Lm013wp9t4d95dZO2wPefc+zci\nkfDE5BqGkTxhWQbclLhHma1I60hLSwsrHnoMgH1O+qoZXMMwusVWpA0AL933MLHKSqKjSjj4K18C\nwu+zMn2pYfpSI+z60klScbqqep2IHIXbpDK+Iu2ptCobIrS1tfHWvQ8CsPuXZ6Y9+bhhGEObpPPp\nAohIEc5QK4CqBjZFHxaf7iuPL+TF2dcg+fl85+G7yM7NCVqSYRgpEHScblzEucAvgCYg7ttVYOc0\n6RoyvHrHPQDsdMwXzeAahtEryfp0fwJ8SlV3UtXJvgxrg7to8RJ+fO73WffKy5TXVFMwbc8O7WH3\nWZm+1DB9qRF2fekkWaP7PtCQTiFDifjOELmrNpOVnUfr3tO4/cHHWLR4SdDSDMMIOcnG6e4PzAVe\nApp9tarqRemT1qumwHy6l1xxFUghxf98ABWhataJRPILoHoVV//i8kA0GYYxMITCpwvMwW2F/gbO\npyv4ybThSCzWRkbFRlClccx4Z3CBlta2XnoahjHcSda9EFXVH6nqbao6T1Xnquq8tCoLMdFoBOrr\nAIjl5bbXJ+4MEXaflelLDdOXGmHXl06SNbqPi8i5IjJBREriJa3KQsys44+m6kO3lXpbjjO6tjOE\nYRjJkKxP90O2didokBEMQcfp3nDqd6h5dSnle+9J7qf2ZOZxR4dqZwjDMPpHKHy6qjopXQKGKvkZ\nWUSKRnLMt8/gwOOPDFqOYRhDhB7dCyIyo7cLiMgRA6ZmCNFcWQlA8fixXbaH3Wdl+lLD9KVG2PWl\nk95GuseLyG9xkQsvA2txhno8cADwRWChL8OKWI3bYn3UxPEBKzEMYyjRq09XRAqAWcChQHyXxY+A\nF4CHVLU2rQq71xWYT7e5sZGbPzcTIhG+9/xjluTGMLYhAvfpqmoNcIcvBrB59ToAIvn5ZnANw+gT\ngWXbFpHrRORtEVkmIg/4DGbxtktE5L8i8o5PKRkqyj9xRjejqLDbc8LuszJ9qWH6UiPs+tJJkFsc\nPAnsrar7Au/h918TkSnAScAU4BjgTyISqq0YKtdvBCCrqKiXMw3DMDoSmDFT1acStgD6D7C9/zwL\nuFtVW/zOwyuA6QFI7JZqb3SzS0Z2e86MGTMGSU3/MH2pYfpSI+z60kmPPl0RORG3KKLLXAuq+sAA\n6TgTuNt/nggsSmhbDWw3QPcZEOo2bQYgb9SwXZRnGEY/6W0ibSbO2I4FDgGe8fVHAP8GejS6IvIU\nLrysM5eq6sP+nMuAZlW9q4dLdRmmUFpayqRJkwAoLi5m2rRp7X9B4z6jdBw3lFfw3+pyWso3tGvp\nfP4NN9wwaHr6c2z6TJ/pc8dlZWXMnTsXoN2epBVV7bUATwETEo4nAE8m07eX65YCLwLZCXX/A/xP\nwvETwEFd9NWg+Os3z9PfT/+iLn74yW7PWbhw4eAJ6gemLzVMX2qEWZ+3LSnZtp5KsrkX3gH28oLw\nE1vLVXXPnnv2eM1jgP8FPqeqmxLqpwB34fy42+EWZuyqnYQGGaf7pxNOo3X9Br705/9l1/2nBqLB\nMIz0EHicrudpYIGI3IXz756EG/2mwk1AFvCUiAC8pKrnq+pyEbkXWA60AucHZl27IVZdA0CJrUYz\nDKOPJBu9cCFwMzANmAr8RVUvTOXGqrqbuj3X9vPl/IS2a1R1V1XdU1UXpHKfgaaxvgFtaIBolKLR\no7o9L+xxiKYvNUxfaoRdXzpJNsuY4ibNBipaYciy+RNbjWYYRv/p0acrIi+q6qEiUkvX+XS7X5KV\nZoLy6b753CKe+cnPGbHDDpx7/62Dfn/DMNJLun26PboXVPVQ/zNfVQs6lcAMblAsWryE226eQ1VV\nBe+vXW27/xqG0WeSXpEmIvuKyIUicoGI7JtOUWEkvu36iKxisrLzyBq7A3Pmze/W8IbdZ2X6UsP0\npUbY9aWTpIyuiHwfuBMYA4wD7hCRwLZfD4KHHlnAhJ2nEqmvB6AtJ4cJO0/l4UdDNc9nGEbISTZO\n9w3gYFWt88d5wCJV3SfN+nrSNKg+3Z9e9ksyS3aC/7xE4XtvU733VNj/AFrKP+K3V18xaDoMw0gv\ngfp0O9HWzedhQTTqHpVEXcSCtLlHkLjtumEYRm8kazFuA/4jIrNF5Be4hDTDaup+1vFHs/b919GI\nf2SxWI/brofdZ2X6UsP0pUbY9aWTZON0rxeRZ4HDcKFjpaq6NK3KQkZ8e/X7rr6e7MY6mirWcc6P\nL7Nt1w3D6BPJ+nR3AdaoaqPf/Xcf4O+qWplugT1oCiROd8Gf5/Lu3DsZffhhnHrdlYN+f8Mw0ktY\nfLoPAK0isivwF2AHXFKaYUc0MxOAtpaWgJUYhjEUSdbotqlqK/BV4CZV/QkuveOwIyMrC+jd6Ibd\nZ2X6UsP0pUbY9aWTZI1us4icCpwOPOLrMtMjKdxkjHBGN9bSGrASwzCGIsn6dPcGvgv8W1XvFpGd\nga+r6rXpFtiDpkB8uosefJzFv76e/L334sxbbxz0+xuGkV5C4dNV1beAHwPLRWQfYHWQBjdIMkfE\n3Qs20jUMo+8kuwz4ONyuvDcCfwBWisiX0iksrGzx6fZsdMPuszJ9qWH6UiPs+tJJsjtHXA8coaor\noD2E7DFfhhVxo6utNtI1DKPvJOvTXaKqByYcC7A4sW6wCcqn++7ipSy48KdkThjPeQ/ePuj3Nwwj\nvYRlj7RXROQx4F5//HXgZRH5KoCqDpsdJbJGjABAW2MBKzEMYyiSbMhYNrAB+JwvG33dTF+GDfGJ\nNI2ZTzedmL7UMH3hJdncC6Vp1jFkyMzJBkAtesEwjH7Q2x5pP1PVa0Xkpi6aVVUDS2QelE+3fN0G\n7ph1GpKby4ULHxr0+xuGkV6C9uku9z9f6aJt8C1eCGh3L1j0gmEY/aC3jSkf9j/ndlHmDY7EcDHC\nuxeI9TyRFnaflelLDdOXGmHXl056HOmKyMM9NKuqnjDAekJPPE6XWIxYa4xoRjRYQYZhDCl68+nO\n6KmzqpYNsJ6kCcqnC3DjIcdALMY5C/9Jdm5OIBoMw0gPgfp0gzSqoSYjA2IxmhuazOgahtEnevTp\nisgbPZTXB0tk2JAM97eqtamp23PC7rMyfalh+lIj7PrSSW/RC2lb+CAivwJOwEVBbMbtu7bKt10C\nnAnEgItU9cl06egPEo2iQFNjY9BSDMMYYiSVewFARCYBu6rq0yKSC0RVtabfNxYpiPcXkQuBfVX1\nbBGZgtsK6EBgO+BpYHdVbevUP5h8uouX8Mh3fsCIpiaqv/g5Tjz9ZNuc0jC2IUKRT1dEzgHuw+2P\nBrA98GAqN+5ksPOBTf7zLOBuVW1R1Q9xKSWnp3KvgWLR4iXMmTefEYUlZGXnES2YwJx581m0eEnQ\n0gzDGCIkm3vhe7jt16sBVPU9YGyqNxeRq0XkY6AU+LWvngisTjhtNW7EGzgPPbKACTtPRSP+scXa\nmLDzVB5+dMFW54bdZ2X6UsP0pUbY9aWTZI1uk6q2zxqJSAZJrEgTkae6mYSbCaCql6nqjsBtwA09\nXCoUq99iMefhUHGPTXzSm5bWtm77GIZhJJJsasdnReQyIFdEjgTOB3paOAGAqh6Z5PXvYktC9DW4\nLd7jbO/rtqK0tJRJkyYBUFxczLRp05gxYwaw5S/pQB6vXvURk0t2QqNRVtZWUvvRSiZP3I7MjMhW\n58f7pFNPKsemz/SZPndcVlbG3LlzAdrtSTpJNol5FDgLOMpXLQBuSWUmS0R2U9X/+s8XAtNV9VsJ\nE2nT2TKRtmvnewUxkRb36e743ipyNq6n8vAvsL61knNKT7HJNMPYRgjFRJqqxlR1jqp+zZe/Jlo8\nEflHP+79a+9qeA2YAVzs77Uclyx9OfA4cH5gS886cfD0AznnjJNprKugubGOlopV3Rrc+F/SsGL6\nUsP0pUbY9aWTZN0LvbFzXzuo6td6aLsGuCYlRWni4OkH8vbe+1Dz+ht8fuZMG+EahtEnko7T7fEi\nIktVdb8B0NOXewY2AJ533k+oevU1pl30XQ4/7cRANBiGkR5C4V4wOhLJzASgtbklYCWGYQw1zOj2\ng4jPvRBr6d7oht1nZfpSw/SlRtj1pZOkja6I5IrIHt00/88A6RkSRDJ9whsb6RqG0UeSDRk7AbgO\nGKGqk0RkP+AXQSYxD9Kne+/lv2bdU8+wy8lf47gfnhuIBsMw0kNYfLqzgYOACgBVXUo/Iha2Fba4\nF2yfNMMw+kayRrdFVSs71Q3bta9RP5FmPt30YfpSw/SFl2TjdN8SkdOADBHZDbgI+Hf6ZIWbZIyu\nYRhGVyTr080DLqPjMuBfqWpgWbyD9Ok+esMcVt59H+OP/DzfuOqSQDQYhpEeAt0jLY6q1gGX+jLs\naffpWvSCYRh9JNkk5k+LSHHCcYmIbJ1EdpiQkeXcC22t3U+khd1nZfpSw/SlRtj1pZNkJ9JGJ06k\nqWo5MC49ksJP3Kfbk9E1DMPoimSNbkxEdoof+P3Shm30QvtIt4eJtMS8oWHE9KWG6UuNsOtLJ8lG\nL1wGPC8iz/njw4Fz0iMp/ESzsgBoa40FrMQwjKFGsvl0nwA+DdwDzAf293XDkozM3ke6YfdZmb7U\nMH2pEXZ96aQv+XSzgHLfZ4oPq3iulz7bJBkjRgCgMRvpGobRN5KN070WOAm3m0O7pVHVmemT1qum\nwOJ0l/3reZ699JdkT57MOfPnBKLBMIz0EIo4XeArwB6JOwIPZ+LRC2rRC4Zh9JFkoxdW4twLBpCZ\nHXcvWJxuujB9qWH6wkuyI90G4DUR+RcQH+2qql6UHlnhpn0izXy6hmH0kWR9uqX+Y/xkwRndeWnS\n1StB+nQ/Wv4eD337e0RHjeJ7j80PRINhGOkhFD5dVZ0rIrnAjqr6TrrEDBWyfJyu+XQNw+gryeZe\nOAFYCjzhj/cTkX+mU1iYefPt5VRVVrBh7RouueIqFi1estU5YfdZmb7UMH2pEXZ96cR2jugjixYv\nYf6Dj5GVk0d2dj6Roh2YM29+l4bXMAyjM8n6dP+jqgeJyFJV3c/Xva6qU9OusHtNgfh0L7niKiRn\nLEX33ElbRga1p5zuGqpXcfUvLh90PYZhDCxh2SOtw84RInITw3TniFisDSJRACQheqGlddjm/zEM\now8ka3QvAPbGhYvdDVQDP0iXqDATjUYg6h6bqKLqjG1mRsdHGXaflelLDdOXGmHXl056NboikgE8\nqqqXquoBvlwW5FY9QTLr+KNZ98GbaMQ/ulgba1cuY+ZxRwcrzDCMIUGyPt1/ASd2sSNw6gJELgau\nwyVKL/d1lwBn4vI8XKSqT3bRL7A43UWLl7Cg9HtE2tqo+8pxfPkrx3Pw9AMD0WIYxsASijhdoA54\nQ0Se8p9hAFakicgOwJHARwl1U3DJdaYA2wFPi8juGn+PDwEHTz+QJWPHoQ2NXPjDiygeOypoSYZh\nDBGS9ek+APwceBZ4GXjFl1S5Hvhpp7pZwN2q2qKqHwIrgOkDcK+BJer+XrU0dZ0DKOw+K9OXGqYv\nNcKuL50EtiJNRGYBq1X1dZEOI/mJwKKE49W4EW+okGgUBVp7SGRuGIbRmaSMrl+Rdh0wApgkIvsB\nv1DVE3rp9xQwvoumy4BLgKMST+/hUsE4b3tAoi5srKWpucv2sO8BZfpSw/SlRtj1pZNkfbqzcSvS\nFoJbkSYiva5IU9Uju6oXkU8Bk4FlfpS7PfCKiBwErAF2SDh9e1+3FaWlpUyaNAmA4uJipk2b1v6P\nGX99Sdfxfys3E6uuINbcMij3s2M7tuP0HJeVlTF37lyAdnuSVlS11wL8x/9cmlD3ejJ9k7z+B0CJ\n/zwFeA2Xv3cyLpevdNFHg+RPs76pv5/+RX138dIu2xcuXDi4gvqI6UsN05caYdbnbcuA2LauSrIj\n3Q4r0oCLGNgVae3uA1VdLiL34rYGagXO9w8iVEiGe3Qx8+kahtEHko3TzQUuZ4sPdgHwKw1wgUSQ\ncboAc046m8YPP2LGr69k6ucPC0yHYRgDS6BxuiJyu6p+CzhHVS8FLk2XkKFGfKRr0QuGYfSF3uJ0\nPy0iE4EzRaSkcxkMgWEl0u5e6DqRedxRH1ZMX2qYvtQIu7500ptP92bgX7jcuZ0XQyjDNKcugGS4\nkLHWZhvpGoaRPMn6dG9W1e8Ogp6kCdqnO/fci6l+7XX2/9EFHHbSrMB0GIYxsIQin66qfldEPisi\n3/aixojI5HSJGgrE3QutzV0vjjAMw+iKZPdImw38DLeKDFwM7Z1p0jQkiMS3Ye9mc8qw+6xMX2qY\nvtQIu750kmzCm68AJ+AzjKnqGiA/XaKGAltGuubTNQwjeZI1uk2akFpRRPLSpGfIEPUj3e6iF+LL\nDcOK6UsN05caYdeXTpI1uveJyF+AYhE5BxfRcEv6ZIWfiI9eiJlP1zCMPpDMdj0C3AP8w5fdgZ+r\n6o1p1hZqIr2MdMPuszJ9qWH6UiPs+tJJsrkXHlPVTwFbbZszXIlkukfX3USaYRhGVyQbpzsP+KOq\nLk6/pOQIOk73n7/9Ix/+40EmHnsUX5v9k8B0GIYxsIRlj7SDgW+KyEd03CNtanpkhZ9oVs8hY4Zh\nGF2R7ETa0cAuwOeBmb607xoxHPMwxKMX2synmxZMX2qYvvCS7B5pH/Zyyr+A/VJWM4TIsJGuYRj9\nICmfbq8XEVmqqoNqdIP26T5z23zevPlvlBx0IN+88ZrAdBiGMbCEIveCsTXxkW7MRrqGYfQBM7r9\n5KNVH1NVWcFby5ZxyRVXsWjxkg7tYfdZmb7UMH2pEXZ96cSMbj9YtHgJz//nZbJy8sgpKCFStANz\n5s3fyvAahmF0Jmmfroh8FthVVW8TkTFAvqp+4NtGqermNOrsSk9gPt1LrrgKKmMUP/cMDWPG0XLM\nca6hehVX/+LyQDQZhjEwhMKn61M7/pSOqR3viLcPtsENmlisDaLu0UnbFsPf0trWXRfDMAygb6kd\nZ9ExtWNBukSFnWg0AhGX8AaNtddnZmx5nGH3WZm+1DB9qRF2fenEUjv2g1nHH83GNSsAkJh7LGtX\nLmPmcUcHKcswjCFAsrkXfgLsChwF/Bo4E7gryExjQcfp/vOO+Sy76v/RmJsLM49i5nFHc/D0AwPT\nYxjGwJBun25fJtKOwhldgAWq+lS6RCWpJ1Cj+9Fb7/LQmRcQHT2a7z16d2A6DMMYWMIykXYx8Jaq\n/tiXQA1uGIjnXiBmuRfSgelLDdMXXpL16RYAT4rICyJygYiMS6eooUDmiCwANGYRC4ZhJE+fci+I\nyL7AN4CvAatV9QvpEpaElkDdC+XrNnDHrNOQ3FwuXPhQYDoMwxhYQuFeSGADsA7YDIxJ5cYiMltE\nVovIUl+OTWi7RET+KyLveF9y6Ngy0o31cqZhGMYWkvXpni8iZbgUjqOBswcggbkC16vqfr487u81\nBTgJmAIcA/xJREK3XDkz0xldujG6YfdZmb7UMH2pEXZ96STZnSN2BH6gqq8N8P27GsLPAu5W1Rbg\nQxFZAUwHFg3wvVMiM3uE+xCL0dbWRiQSur8LhmGEkL6EjE0DPosboT6vqstSurHIlcC3gSrgZeBi\nVa0UkZuARap6pz/vFuBxVf1Hp/6B+nQBbvzM0dDWxnkvPEZmPJrBMIwhTSh8uiLyfVyuhTHAOOAO\nEbkoiX5PicgbXZQTgD8Dk4FpwFrgf3u4VLDWtTuibilwS2NzwEIMwxgqJOteOBs4SFXrAETkN7jX\n/R5XpKnqkclc3I9mH/aHa4AdEpq393VbUVpayqRJkwAoLi5m2rRpzJgxA9jiM0rn8YqaCnbNzqel\nqYmyV5Z0aL/hhhsGXU9fjk2f6TN97risrIy5c+cCtNuTtKKqvRbgDSAn4TgHeCOZvj1cc0LC5x/i\nlhWDm0B7DZfJbDKwEu8G6dRfg+bGI2bp76d/UTevWbdV28KFCwdfUB8wfalh+lIjzPq8bem3beut\nJJt74UdAKfAAbvLry8BcVf1df429iPwd51pQ4APgXFVd79suxeV3aAW+r6oLuuivyWhPJ3848kTa\nqqv5xvxbGT95h947GIYRetLt0012N+DrReRZ4FBfVaqqS1O5saqe3kPbNUDod3uUDPf4WpuaAlZi\nGMZQoa9xTtLp57BG4hNpTVtPpIU9DtH0pYbpS42w60snyUYvXAHMBUpwiyNuE5Gfp1HXkEAyvNFt\ntugFwzCSI1mf7nvAVFVt9Mc5wDJV3T3N+nrSFLhP9+YTS2levYYjf3cNex1iuXQNY1sgFHG6uJCt\nnITjbGD1wMsZWkS8T7elqSVgJYZhDBV6NLoicpNfIVYFvCUic0VkLvCmrxvWtE+kNW89kRZ2n5Xp\nSw3Tlxph15dOeoteeAUX0vUy8GBCfRlhXSU2iMQn0mItXScyNwzD6Eyf8umGiTD4dG896/vUvrmc\nA3/2Qz7z1S8FqsUwjIEhFHG6IrI7Lm52Clt8u6qqO6dL2FAg0u5esOgFwzCSI9mJtNuAm3ErxGYA\n84A706RpyBA3urHmrSfSwu6zMn2pYfpSI+z60kmyRjdHVZ/GuSM+UtXZwHHpkzU0iPh0jrEWi14w\nDCM5ks0y1igiUWCFiFwAfALkpU/W0GCLe2FroxvPZhRWTF9qmL7UCLu+dJLsSPcHQC5wEXAA8E3g\njHSJGgosWryEpa8tpaqqgiefeIJFi5cELckwjCFAUkZXVRerao2qrlLVUlX9qqq2b5/jY3mHDYsW\nL2HOvPmMKBlPVnYe2YVjmTNvfgfDG3aflelLDdOXGmHXl04GamOvwwboOkOChx5ZwISdp6Lx/TJj\nMSbsPJWHH90qA6VhGEYHbDfFfhCLtbkP8X3RWt3iiJbWtvZzwu6zMn2pYfpSI+z60okZ3X4QjbrH\npn4b9kiLi9PNzLDHaRhGz5iV6Aezjj+ate+/jvqRrrS0sHblMmYed3T7OWH3WZm+1DB9qRF2fekk\n2Xy6X++l7vcDpmgIcPD0AznnjJNpadhEc2MdzeXrOKf0FA6ebukdDcPomWTz6S5V1f16qxtMwpB7\nYdm/nufZS39J9uTJnDN/TqBaDMMYGALNvSAixwJfArYTkRvZsk1PATDsl2FlF+QDEGtsCFiJYRhD\nhd7cC5/g0js2+p/x8k/g6B76DQvyCgsAaOtiY8qw+6xMX2qYvtQIu7500uNIV1WXActE5E5VHfYj\n287kxo1uo+0GbBhGciTr0z0MuBKYxBZDHWhqxzD4dBvrG5hzxAkQjXLRv58IVIthGANDKPLpAn/D\n5V94FYilS8xQIyt7BESjEIvR3NhIVnZ20JIMwwg5ycbpVqrq46q6XlU3xUtalQ0BIpEIMmIEALWV\n1R3awu6zMn2pYfpSI+z60klv0Quf9h8Xish1wANAuwNTVV9No7YhQWREFrH6euqraykZPzZoOYZh\nhJwefboiUkYPG1Cq6hFp0JQUYfDpAvz5y9+iZe06jvnDdex+4LSg5RiGkSKB+nRVdUa6brytEM3O\npgVorKkNWophGEOAZJcBXywiP+pUzhKRlIZ2InKhiLwtIm+KyLUJ9ZeIyH9F5B0ROSqVe6SbqJ88\na6juaHTD7rMyfalh+lIj7PrSSbLRC5/G7RjxMG5V2nHAG8B3ReR+Vb22p85dISJHACcAU1W1RUTG\n+PopwEm4nYe3A54Wkd1Vta37qwVHRq7bHLmxti5gJYZhDAWSjdN9HjhWVWv9cT7wGHAM8Iqq7tXn\nG4vcC9ysqs90qr8EaIsbchF5ApiduFOFrw+FT/eui69k0wv/Zo/Sb3L0ecN6ByPD2CZIt0832ZCx\nMUBzwnELME5V63FLhPvDbsDhIrJIRMpE5ABfPxFYnXDeatyIN5Rk5uUC0FxfH7ASwzCGAska3TuB\n/4jIlSIyG/g3cJeI5AHLu+skIk+JyBtdlBNwro2Rqnow8BPg3h7uH/yQthuycr3RretodMPuszJ9\nqd63rAYAACAASURBVGH6UiPs+tJJUj5dVf2Vf80/FGcAz1XVl33zaT30O7K7NhE5Dxf3i6ouEZE2\nERkNrAF2SDh1e1+3FaWlpUyaNAmA4uJipk2b1r4NSPwfNd3HWfluJ/plb7/FqLKy9vbXXnttUO7f\n32PTZ/pMnzsuKytj7ty5AO32JJ30FqdbqKrVIlISr/I/FUBVy/t9Y5FzgYmqeqWI7A48rao7+om0\nu4Dp+Ik0YNfODtyw+HSfuW0+b978N0YedCDfuvGaoOUYhpEiQedeuBsXqfAqXb/iT07h3rcCt4rI\nGzh/8ekAqrrcT7ItB1qB80NhXbshu9Dl1G0xn65hGEnQo09XVY/zPyep6uTOJZUbq2qLqn5LVfdR\n1U+rallC2zWququq7qmqod7XPNu7F2INHecTw+6zMn2pYfpSI+z60kmyiyMiIvItEbnCH+8oItPT\nK21okBPfPaKhv0EchmEMJ5KN070ZaAM+r6p7eh/vk6p6QC9d00ZYfLofvfUuD515AdHRo/jeo/OD\nlmMYRoqEJU73IFU9H2iA9gm0zHSJGkq89/5KqiorWP/xR1xyxVUsWrwkaEmGYYSYZI1us4hE4wd+\nyW4ol+UOJosWL2H+wwvIyskjJyuXSNEOzJk3n0WLl4TeZ2X6UsP0pUbY9aWTZI3uTcD/AWNF5Brg\nReDXaVM1RHjokQWM230aiBCJtaKxGBN2nsrDj4Z67s8wjABJyqcLICJ7AV/wh/9S1bfTpio5PYH7\ndH962S/JLNmJvPl3EG1ppvJrJxPJyaWl/CN+e/UVgWozDKN/BB2nm8h7QLXvoyKyo6p+nB5ZQ4No\n1L0otGVmEm1phqYmyMklMyPZFwjDMIYbyYaMXQisB54CHgEe9WVYM+v4o1n7/uu0Zbo5RW1qZu3K\nZcw87ujQ+6xMX2qYvtQIu750kuyQ7AfAHqo6xS9m2EdV90mnsKHAwdMP5JwzTqahqZbmxjpaN7zP\nOaWncPD0A4OWZhhGSEk2TnchcJSqtqRfUnKEwacb57bv/Iia199g/x9dwGEnzQpajmEYKRCoT1dE\nLvYf3wfKROQRtuTVVVW9Pl3ChhLxnLqN1TUBKzEMI+z05l4oAPKBj3H+3Cx/nO/bDLakd0zcnDLs\nPivTlxqmLzXCri+d9LYb8OxkLiIiN6nqhQOiaAgyosD9/WmyHYENw+iFpON0e7yIyFJV3W8A9PTl\nnqHx6S7481zenXsnow8/lFOvmx20HMMwUiAsuReMHsj2I90W2xHYMIxeMKM7AOQWFwLQkrBPWth9\nVqYvNUxfaoRdXzoxozsA5BS6kW6sviFgJYZhhJ0++XRFJNdvu965vlRV5w6ksCS0hMan+8Gy5Tx8\nzveJjh7N9x69O2g5hmGkQCh8uiJyiIgsB971x9NE5E/x9sE2uGEjv6QYgLZG2z3CMIyeSda9cANw\nDLAJQFVfAz6XLlFDjYKRzuhqQwNtbS7NcNh9VqYvNUxfaoRdXzpJ2qfbRUax1gHWMmTJys2GaBRi\nMZrrbbRrGEb3JJt74X7gd8AfgIOAi4ADVPXk9MrrUVNofLoAN33hK2htLafcP48xO0wMWo5hGP0k\nFD5d4Dzge8B2wBpgP39seCLZ2QDUllcGrMQwjDCTlNFV1Y2qeqqqjlXVMap6mqpuTre4oURGTg4A\ndVXVQPh9VqYvNUxfaoRdXzpJNnrh7yJSnHA8UkRuTZ+soUc01xndBss0ZhhGDyTr031NVaf1VjeY\nhM2n+7tvfJvaZW9QPvVTZO+1K7OOP9qSmf//9s49Pqri/P/vJyHhkkBCUAgJl3BVqBdAQYrVUrwD\nSr2CRYrFitZff6j11ypQFZV8tVpsteJXBBWK9V4tSC1gkajcDCIgiFwlkEBAIRAgkIQkz++PORuW\nsEl22eyeE5j367WvzJkzZ85nT3aenX1m5hmLpR7iFZ+uiEiK30EKEFtD+dOKZdnL2boz32zFntji\nuK3YLRaLxZ9gje4kYKmIPCEiE4GlwDORk1W/mDVnHs3SOwAgJSbGe2lFnKe3Yve6T83qCw+rz7sE\ntRuwqv5dRFYAAwAFrlfVdRFVVo8oL68gJj4eACktwef0OFpW4Z4oi8XiSUKNvdAKaIQxvIEWTIRS\n11vAWc5hMrDfF5NXRMYCo4ByYIyqzg9wvWd8umMfmYjsPEDSl19wqG0GFf0HmBMHcsl87I/uirNY\nLCHhCZ+uiFwnIptw9koDcoD/hHNjVR2mqj0dQ/tP54WIdAeGAt0xS49fFBFPR0MbMvgq9uzdAUBs\naQlA5VbsFovF4k+wxmwi8GNgo6p2AC4DvqgLASIiwC2ALzzXEOBNVT2qqjnAZqBPXdwrUvTt05ur\nrrmC0uIiSvbuggO5XHhuV0/PXvC6T83qCw+rz7sEa3SPquoeIEZEYlV1IXBhHWm4BNitqluc4zQg\nz+98HmYlnKe58Cf9SEpqTpszW5H52B/p3u1styVZLBYPEtRAGrBPRJoCnwP/EJHvgVp3YRSRj4HU\nAKfGqeqHTvpW4I1aqgrovL399tvJyMgAIDk5mR49etC/f3/g2DdptI7XbPiWTQcK6OosB/aVcUtP\nbcdWn9Vn9ZnjrKwspk+fDlBpTyJJjQNpItJQVUtEJAEoxvSMhwPNgH+EuxRYRBpgerK9VHWnk/cQ\ngKo+5RzPBR5V1S+qXOuZgTSA8rJyJl8yECoq+M1n/yauYbzbkiwWy0ng9kDaUufvS6pa7vhZp6vq\n83UUe+Fy4FufwXWYDQwTkXgR6QB0AbLr4F4RJbZBLOLEXyjcU1D5TepVrL7wsPrCw+v6Iklt7oWG\nIjIcuFhEbgAE81NfAFXV98O8/1CODaCBqXSdiLwDrMPE7L3HU13aGoht0oSyoiIO7LGxgCwWS2Bq\ncy9cgnEn3IzpgR6Hqv4qctJqxmvuBYCXh91J8dYc+j/5KOcN+InbciwWy0kQafdCjT1dVf1cRJYA\nuaqaGSkRpwpxTRMpBg7u3ee2FIvF4lFqnTKmquWYnq6lFuKbJgJweN9+z/usrL7wsPrCw+v6Ikmw\n83T/KyI3OQsZLNXQKKkZAIf3FbqsxGKxeJVg4+keAppgYiH4dl5UVW0WQW21afKcT/fff32ZLW++\nS6vL+jP0f8a7LcdisZwErvp0fahqYqQEnEo0aZ4EQEmh3T3CYrEEJtiAN5cGekVaXH0jIaU5AKUH\nD3reZ2X1hYfVFx5e1xdJgl0G/AeOLcVthAlA44uva3Fo2sIY3bKiIpeVWCwWrxJSPN3Ki0TaAs+p\n6g11LyloDZ7z6X70z1msGPcEpY0aUjbkGrtPmsVSD3F7GXB15AHd6lJIfWdZ9nL+OXcB8Y0TaBLX\nyO6TZrFYAhKsT/dvfq/JwCKMe8HiMGvOPFqd1RMVIaasjK0b1tK643me3SfN6z41qy88rD7vEqxP\ndwXHfLplwBuqujgykuon5eUVxEkMZY0TiDt8CA6ZGQx2nzSLxeJPsFPGpvvSzvbrbSIlqL4SG2t+\nNJQmJxN3+BAZTcwU5rgG3txpyD+uqRex+sLD6vMuwboXskSkmWNwVwDTROQvkZVWvxgy+Cryv/ua\n8pQUAGL2Fdh90iwWywkE2w1LVtUDwA3A31W1DyYWrsWhb5/ejB45jJLYUkqLi/jumxWMvv1Wz85e\n8LpPzeoLD6vPuwRrdGNFpDVmA8l/O3nemq/lAfr26c24Jx8nKak5LeIa0rtXL7clWSwWjxFs7IWb\ngYeBxar6GxHpBDytqjdGWmANmjw3T9fHC5ffQMXBg/z8tcm0697VbTkWiyUEPDFPV1XfVdXzVPU3\nzvEWf4MrImMjJbA+0riN2bx425p1LiuxWCxeo66G1m+po3pOCVI6d2TTgQJ2r9votpRq8bpPzeoL\nD6vPu3hzPlM9p1W3LgDs37rNZSUWi8VrnFTshRMqEVmpqj3rQE8o9/SsTzd/cw7vDr8TSUjg//z3\nfWJi7HebxVJf8IRP1xIarTq2Qxo3QouK2JuX77Yci8XiIerK6L5bR/WcEsTExLAt1qS/W7nWXTHV\n4HWfmtUXHlafdwlqGbCINAbuAH6EiacLZrueUU7ifyIjr/6SkJYKG3PIX7cBhthVaRaLxRDsPN33\ngG+B4cBjwG3At6o6JrLyatTkWZ8uwIwn/sz219/i4BkpxF52qY2ta7HUE7zi0+2sqg8Dh1R1BjAQ\nuChSouo7y7KX89n6DcQ3TqBZRQMbW9disVQSrNEtdf4Wisi5QDJwZmQk1X9mzZlHcbMUNDaWuCNF\nVBQf8VxsXa/71Ky+8LD6vEuwRneqE2Hsj8BsYB3wdMRU1XPKyysQhNKmzg71e/cCNrauxWIJfhnw\nVFUtUNVPVbWDqp6pqi9FWlx9JTY2hvadu3E0KRkAKTBG10uxdb0ez9TqC49Q9Z1zzjl89tlnAc89\n+eST3HnnnXWg6hhef36RJNiBtFQgE0hX1atFpDvwY1V95aRvLNIHeAGIw+xGcY+qLnfOjQVGAeXA\nGFWdH+B6zw6kLctezssz3iL1UAVJq7/iUEYndqQlezrUo8ViMXhlIG06MB9Ic443AfeHee+ngYed\nlWyPOMc4Bn0o0B24GnhRRLzTRQyCvn16c+E5XSiNLaG0uIjyHVs9Z3C97lOz+sKjrvSVl5fXST1V\n8frziyTB7pF2hqq+LSIPAajqUREpC/Pe+UCSk04GdjjpIcCbqnoUyBGRzUAfYFmY94sq3budzbDr\nb+D1IcNJahhvY+tawmJZ9nJmzZlHeXkFsbExdT4FMSMjg1deeYXPP/+ctWvX0rhxY2bPns2zzz5L\nbm4uW7ZsYebMmRQXF/PrX/+auXPnUl5eTpcuXZgzZw4tW7asMy2nOsH2IA+JSAvfgYj0BQrDvPdD\nwCQR2Q48A/jCQ6Zhtnj3kQekh3mvqNO/f39SUlsiiYlQUsqunO1uSzoOr/vUrL5j+NxVMUltiUtp\nH9QUxFD1iRz7NT179mxuvvlmCgsLGT58OCJSeX7GjBkcOHCAvLw8CgoKmDJlCo0bNw75PXn9/xtJ\ngu3pPgB8CHQUkSWY6WI31XaRiHwMpAY4NR4Yg/HXfuAESX8VuKKaqrzpvA2CxmmtObxxE3lrN5De\nuYPbciweYvykGUGVW/rpx7TqeC7f5e46lhnXknGZz/HjS6trMsfIfGBkSLr69evHddddB0CjRo1Q\nVXzjJ/Hx8ezdu5dNmzZx7rnn0rNnVONcnRIEuxvwChH5KXCWk7XB+flf23XVfiJE5HVV9e2z9h4w\nzUnvANr6FW3DMdfDcdx+++1kZGQAkJycTI8ePSq/QX0+I7eO//rXv9KjRw+atW/L4Y2b+PijjziS\n3Mhz+ryi53TUt2//PponNwdg3/59AIGPBcrKTHNr0CAOMMclJb7p8yden5uXS2JiYuVxbXqKi4tZ\ntWoVIkKbNm1OOL97926ysrIYMWIEubm5XHvttRQVFTFq1CgyMzNZtGhR1J9fXR1nZWUxffp0gEp7\nEkmCnb1wCzBXVQ+IyMNAT2Ciqn510jcW+Qq4X1U/FZHLgKdUtbczkPYGxo+bDvwXsyJOq1zv2dkL\nYP6p/fv355PX3mLtS6+Q1LMHI196xm1Zlfj0eRWr7xhjH5lITFLbE08cyCXzsT8GvCZUfR06dGDa\ntGksWrSIzZs3M3PmzMpzjz322Al5ANu2bWPgwIE88MADjBo1Kuh7nYy+aOKV2QsPOwb3J8BlGFdA\nuPN0RwNPi8gqYKJzjKquA97BLMD4D2YqmXetazX4PlDpPzI/DoryAnbWXcOrH3gfVt8xhgy+ivzv\nvj4uL3/Laq4dVH0gpZPVF6ip+edlZWWxZs0aysvLadq0KXFxccTGxoZ8H6//fyNJsD5d37yRwcBU\nVZ0jIk+Ec2NV/ZJq4jc4UctOichl3x85RGHhPrRwPw+On8D1QwZ5auqYxfv4Pi8f/nseR8sqiGsQ\nE5EpiL4BM/9BNf98gF27dnH33XeTl5dHYmIiw4YNY8SIEXWq41QnWPfCvzF+1SswroVi4AtVPT+y\n8mrU5OkOcFZWFo2aJPDyjLfosHoD8YcOsv+qwew+tIvRI4e5bni9/PMOrL5wsfpOHq+4F24B5gFX\nqup+oDnw+0iJOlWYNWcerTuex9FmZjqy7P3Bc4FvLBZLdKmTPdLcwOs9XYA/jH+cuJT26JrVJK1a\nQVF6W8oHXMHRgm08nfmI2/IsFksAvNLTtZwEsbHm8WrbdgA0+n43qhWeCnxjsViii239ESIrK6ty\n1DkmuTlHmyQQe7SU75d/WuOoczT1eRmrLzysPu8S7OwFy0ngP+q8v1EDkgqK6NWypeuDaBaLxT2s\nTzdKfPGvuXzx5CQatmvLXe++6rYci8VSDdane4pwzoCLITaWkrwd7P9+r9tyLBaLS1ijGyGq+qwS\nmjWlcUZ7qKhg7cJF7ojyw+s+NasvPKw+72KNbhSpSD2Twv37+Nf/vszYRyba3YEtFocJEyZUrmzL\nyckhJiaGiopTc09Ba3QjRNXVNsuyl7N81y7iGyfQvLgcaZbu6rbsXl0N5MPqC49o6Ovfvz+vvHJy\nO3ZV1Vd16fGpjDW6UWLWnHm07HUxZQ0b0aD4CLp3r12dZqnX1KWhrE+D4uFijW6EqOqzKi+vQCSG\nklYmprtsNztJuLUtu9d9alZfeISqLyMjg0mTJnH++eeTnJzMsGHDKCkpAWDWrFn06NGDpKQkOnfu\nzLx58xg/fjyff/45v/3tb2natCljxowBYMmSJfTu3Zvk5GT69OnD0qVLK++xc+dOrrvuOlq0aEGb\nNm2YNm1aQC0+XnnlFdLT00lLS2PSpEmV+SUlJdx3332kp6eTnp7O/fffT2lpKaWlpfTs2ZMXXngB\nMPu7XXzxxUycODGkZxFprNGNEr7VaWVtzOq0hjtyAW9ty245fRER3n33XebNm8fWrVv5+uuvmT59\nOtnZ2YwcOZJJkyZRWFjIZ599RkZGBpmZmVxyySVMnjyZgwcP8vzzz1NQUMCgQYO47777KCgo4He/\n+x2DBg1i3z4TYH3YsGG0a9eO/Px8JkyYwLhx41i4cGG1mrKysti8eTPz58/nT3/6EwsWLAAgMzOT\n7OxsVq9ezerVq8nOzmbixInEx8fz+uuv88gjj7B+/XqeeuopVJXx48dH5RkGi52nGyUqt2Vv241m\n77yBVJSzoeePGP2bX9nFEqcpH94UnZCI1743s9YyHTp0IDMzk1/84hcAPPjggxw4cABVJSEh4bie\npo+f/exn3Hbbbdxxxx0AzJw5k8mTJ7Ns2bE9ZPv168ddd93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| |
"text": "<matplotlib.figure.Figure at 0x7fa1ddb6ad10>", | |
"output_type": "display_data", | |
"metadata": {} | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "markdown", | |
"source": "# [ocean_s_coordinate_g1](https://cf-pcmdi.llnl.gov/trac/ticket/93)\n\n$z(n,k,j,i) = S(k,j,i) + \\eta(n,j,i) \\left[\\dfrac{1 + S(k,j,i)}{h(j,i)}\\right]$\n\nwhere:\n\n$S(k,j,i) = h_c s(k) + \\left[ h(j,i) - h_c \\right] C(k)$" | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "url = 'http://tds.marine.rutgers.edu/thredds/dodsC/roms/espresso/2013_da/avg_Best/ESPRESSO_Real-Time_v2_Averages_Best_Available_best.ncd'\ncube = iris.load_cube(url, 'sea_water_salinity')", | |
"prompt_number": 13, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": "/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/cf.py:1040: UserWarning: Ignoring formula terms variable u'h' referenced by data variable u'v' via variable u's_rho': Dimensions (u'eta_rho', u'xi_rho') do not span (u'time', u's_rho', u'eta_v', u'xi_v')\n warnings.warn(msg)\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/cf.py:1040: UserWarning: Ignoring formula terms variable u'zeta' referenced by data variable u'v' via variable u's_rho': Dimensions (u'time', u'eta_rho', u'xi_rho') do not span (u'time', u's_rho', u'eta_v', u'xi_v')\n warnings.warn(msg)\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/cf.py:1040: UserWarning: Ignoring formula terms variable u'h' referenced by data variable u'u' via variable u's_rho': Dimensions (u'eta_rho', u'xi_rho') do not span (u'time', u's_rho', u'eta_u', u'xi_u')\n warnings.warn(msg)\n", | |
"stream": "stderr" | |
}, | |
{ | |
"output_type": "stream", | |
"text": "/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/cf.py:1040: UserWarning: Ignoring formula terms variable u'zeta' referenced by data variable u'u' via variable u's_rho': Dimensions (u'time', u'eta_rho', u'xi_rho') do not span (u'time', u's_rho', u'eta_u', u'xi_u')\n warnings.warn(msg)\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/_pyke_rules/compiled_krb/fc_rules_cf_fc.py:1395: UserWarning: Gracefully filling 'time' dimension coordinate masked points\n warnings.warn(msg.format(str(cf_coord_var.cf_name)))\n/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/netcdf.py:558: UserWarning: Unable to construct Ocean s-coordinate, generic form 1 factory due to insufficient source coordinates.\n warnings.warn('{}'.format(e))\n", | |
"stream": "stderr" | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "show_coords(cube)", | |
"prompt_number": 14, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": "*sea_surface_height_above_reference_ellipsoid*\n*ocean_s_coordinate_g1*\ntime\n", | |
"stream": "stdout" | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "%%matlab -i url -o s -o g\naddpath(genpath('/home/filipe/IOOS/nctoolbox'));\nnc = ncgeodataset(url);\n\ns = nc{'salt'}(end, :, 31, 81);\ng = nc{'salt'}(end, :, 31, 81).grid;", | |
"prompt_number": 15, | |
"outputs": [ | |
{ | |
"text": "log4j:WARN No appenders could be found for logger (ucar.nc2.dods.DODSNetcdfFile).\nlog4j:WARN Please initialize the log4j system properly.\n", | |
"output_type": "display_data", | |
"metadata": {} | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "c = cube[-1, :, 30, 80]\nfig, ax = plot_profile(c)\nax.plot(s, g['z'], **kw)\nl = ax.legend(**leg)", | |
"prompt_number": 16, | |
"outputs": [ | |
{ | |
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SVacPjKTEYWkKoyfC4TD1VTVUbdpK9dZt1G3bScPOShp3eEG2poa22jpCDQ3Q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\n4tBqpAGLZ2wYjRgReRqYpapLa7leAIxV1e/X005/4HeqOibxKo1EYCN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| |
"text": "<matplotlib.figure.Figure at 0x7fa1dda51610>", | |
"output_type": "display_data", | |
"metadata": {} | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "markdown", | |
"source": "# [ocean_s_coordinate_g2](https://cf-pcmdi.llnl.gov/trac/ticket/93)\n\n$z(n,k,j,i) = \\eta(n,j,i) + \\left( \\eta(n,j,i) + h(j,i) \\right) S(k,j,i)$\n\nwhere:\n\n$S(k,j,i) = \\dfrac{h_c s(k) + h(j,i) C(k)}{h_c + h(j,i)}$" | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "url = \"http://dm2.caricoos.org/thredds/dodsC/roms/20140518/r1/ocean_his_0121.nc\"\ncube = iris.load_cube(url, 'salinity')", | |
"prompt_number": 17, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": "/home/filipe/Dropbox/pymodules/forks/iris/build/lib/iris/fileformats/netcdf.py:558: UserWarning: Unable to construct Ocean s-coordinate, generic form 2 factory due to insufficient source coordinates.\n warnings.warn('{}'.format(e))\n", | |
"stream": "stderr" | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "show_coords(cube)", | |
"prompt_number": 18, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": "*sea_surface_height_above_reference_ellipsoid*\n*ocean_s_coordinate_g2*\ntime since initialization\n", | |
"stream": "stdout" | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "%%matlab -i url -o s -o g\naddpath(genpath('/home/filipe/IOOS/nctoolbox'));\nnc = ncgeodataset(url);\n\ns = nc{'salt'}(1, :, 31, 81);\ng = nc{'salt'}(1, :, 31, 81).grid;", | |
"prompt_number": 19, | |
"outputs": [], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "fig, ax = plot_profile(cube[0, :, 30, 80])\nax.plot(s, g['z'], **kw)\nl = ax.legend(**leg)", | |
"prompt_number": 20, | |
"outputs": [ | |
{ | |
"png": 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Skhg4cCBXX301M2bMYMKECbz88ss8/vjjtG3btvK6G264gfvuu48BAwZw1113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\n", | |
"text": "<matplotlib.figure.Figure at 0x7fa1dd8cd890>", | |
"output_type": "display_data", | |
"metadata": {} | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "markdown", | |
"source": "# [sigma_over_z](https://github.com/SciTools/iris/pull/509)\n(MatlabTM+netcdfjava does not implement this.)" | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "url = \"http://geoport.whoi.edu/thredds/dodsC/usgs/data2/rsignell/models/ncom/ncom_sigma_over_z.nc\"\ncube = iris.load_cube(url, 'sea_water_potential_temperature')", | |
"prompt_number": 21, | |
"outputs": [], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "show_coords(cube)", | |
"prompt_number": 22, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": "siglay\n*sea_surface_height_above_reference_ellipsoid*\ntime\n", | |
"stream": "stdout" | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
}, | |
{ | |
"metadata": {}, | |
"cell_type": "code", | |
"input": "fig, ax = plot_profile(cube[0, :, 200, 1000])", | |
"prompt_number": 23, | |
"outputs": [ | |
{ | |
"png": 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k5RDILWXogF7Vtrd8rJEsrOtXivCTbV5z1bJzz37WbCigoiJIVmYGvbt1olO7\ntmRlZMSUh/XLdfGLDjAt8WDB1miWbN25h78+O5sevfuzt2Al3Tq3q+oba/1ijVRgOVuj2RDqdXCg\nsIi1m7fTu+8Azjh9Ev275PLqrDcsD2skDcvZGi2GUK+Dtt2P46Bk0KlPO3ZsXc3Arudx0sQJnHLS\nxFRLNFo4lkZIEX7KNzUHLTNmzqZ9r6Hs3LMfVWidl82Yiacz87XXG11LovGLDjAt8WDB1mgWVFYG\nKSo+Agp5ua3o2K6NG/1VEUy1NMMALGdrNBNuueMethZnU1FRSbfO7cnOynQVNq+X0QjYHGRGi+HU\nSaewacUi0tICtMrKAKzXgeEvLNimCD/lm5qDlqy89gwaMpTK/Zup2LcFCgtqndcrmVoSjV90gGmJ\nB+uNYDR55i1YyO8feITiI2UM6d+Tyy4+37p2Gb7DcrZGk2begoX86a9PUpHTnUBA6NO9Mzs3Luea\nq6+wgGs0GpazNZo9jz/9ArRxHgc52VmICN36j+TlV2anWJlhHIsF2xThp3xTU9RScqSMF2bPZfWG\nAioqKsnMTKdd29ZV9Yno8uWX6+IXHWBa4qHOnK2IjAWuBE4D+gIKbAbeBZ5S1SXJFGgYkaxaX8CM\nN+ZxqKgYQWjXNo/81rmIHL2LS7Xht2FEUmvOVkReBfYDLwELgB2AAN2A8cCFQL6qTkm+1PixnG3T\npqj4CDPfns/y1ZsA6NW9E307ZvPsf2ZGNfy2nK3RWMSSs60r2HZR1V11nKSzqu5uoMZGxYJt00RV\n+XjNJma+NZ/iklIyMtI5Z9IYJo4eSiAgZvhtpJy4g22UA7YhLPWgqvsaLq/x8VOw9dP8SX7WUlhU\nzEtvzGPV+gIA+vfuyiVnn0yH/NY1HCF5WlKFX3SAaamJhLl+ici1wF1AKRB68qBA/7gUGkYEK1et\nZvZb71NRWcn+g4dIz2lPhy49yMrK4PzTTuTEEYOOyc0aRlMhppatiKwDJqrqnuRLSh5+atka1QnZ\nJHbqM5zP9h2k5EgZW9cs4cwzT+OH111N29a5qZZoGFFJpJ/tBqAkfkmGUTMzZs6mXc8hbNu1l8rK\nIIGAMObkyZQX7bFAazR5Yu0f8zPgQxH5i4g85C0PJlNYc8dPfQT9omX3voMsXbyQysog2a0y6dW1\nI61zsqlIkU2iX66LX3SAaYmHWIPto8AbwDxgEbDYWxqMiHxRRFaISKXXlze87hYRWSsiq0XknLDy\nE0RkuVdNbBOnAAAgAElEQVT3QFh5loj8yyufJyJ94tFmNC6qypsfLGXjlh0ozvi7a8ejc4ZZn1mj\nORBrznaJqo5J6IlFhuAetv0FuFlVP/LKhwFPAeOAHrggP0hVVUQWADeq6gKvD/CDqjpLRG4AjlfV\nG0Tky8ClqnpFlHNaztZnlJdX8PzsuSxfs4kd2zZzYPc2how5CcGlv6zPrNEUSGTO9jWvR8JLuB4J\nQHxdv1R1dUhkBBcDT6tqObDJezg3QUQ2A61VdYG33ePAJcAs4CLgTq/8eeCPDdVlNB6FRcU8OeMt\ntu3cS1ZmBj/97jfZ/9mOY/rMWqA1mgux3p9dhcvbfsDRFMKiJGnqDmwNW9+Ka+FGlm/zyvFeCwBU\ntQI4KCLtk6QvIfgp35QKLdt37eWRp15h28695LfN49orL+C4fj05UnyYe++6jV/dewf33nVbSgOt\nX74jv+gA0xIPMbVsVbVvQw4uIq8DXaNU/VxVX27IMY2mz4q1m3nutfcpL6+gT4/OXHXRGeTltEq1\nLMNIKrUGWxGZrKpz6tjmDFV9O1qdqp7dAE3bgF5h6z1xLdpt3vvI8tA+vYHtIpIOtK0pxTF16lT6\n9u0LQH5+PqNHj64ahRL6pWyM9cmTJzfq+VK53ionlxkzZ7NhwzoOHCyix8ARdOvZl8zKQgZ06lkV\naCNbKqnWHypL9fXz23qIVOsJlaXi/HPmzGH69OkAVfGkLuryRvgNzu3rDVzaYAcu9dAVOBE4C3hb\nVX8S09min+Nt4EequthbDz0gG8/RB2QDvQdk84GbcKY4r3DsA7IRqnq9iFwBXGIPyPxBaKBC134j\n+Gz/QYoOH2Hrp0v4ypcu4dqrv2yjwYxmQdzm4ar6I+BzwErgbOB24FZckP0EOKOhgVZELhWRAmAi\n8IqIvOadcyXwrHfO14AbwiLkDcBfgbXAOlWd5ZX/DeggImuB7+Pyy74mspWQSpKpZcbM2XTtP4Kd\ne/ZTdPgIIsIJJ59BwcZ1UQNtS7ku9cEvOsC0xEOdOVtVPQQ86S0JQ1VfBF6soe4+4L4o5YuBEVHK\nS4EvJVKfkRgqK4McOlhEyZEy0tICdO3YjqzMDMpLUjNQwTBShc1BZiSV67//Uw7gOoZ069ye7KxM\nV1FYwL133ZZCZYaROGwOMiOl7D1wCM1sy9Y1S2if37oq0O5Yv4wLp5ybYnWG0bhYsE0Rfso3JUNL\neXkFT7/8Nh269OCss06nre6jfN9mKCyodaBCc78uDcEvOsC0xENdXb++gPOtFe/1GFT1hSTpMpo4\nL781nx2799M+vzX/89UraRVKHxhGC6Wurl/TcUG2M3Ay8JZXdQbwgap+PtkCE4nlbBuHRcvX8uJ/\nPyA9PY3rrrqAbp18PZjPMOImbm8EVZ3qHeh1YJiq7vDWuwGPJUin0YzYtmsvL781H4BLzj7JAq1h\neMSas+0F7Axb34UbsWU0ED/lmxKlpbiklKdenkNFRSXjRg5mzLABKdOSCPyixS86wLTEQ6yuX28A\ns0XkKVz+9svA60lTZTQZ5i1YyIyZs6morGT95u3kd+rOiSeewJQzxqdammH4ilj9bAW4FDd0V4F3\nvUEJTQrL2SaW0FDcbv1Hsr+wiP0Hi9i+bhm3/fA6zj7ztFTLM4xGI+FTmTd1LNgmllvu+AWBtr0o\nKS1lx+79AHTt1I6cst02YMFoUcQ9qEFE5nqvRSJyKGIpTKTYloaf8k0N1VJZGSSoymf73J9Cfptc\nclplUR7HnGHN4bokGr/oANMSD3X1RjjFe81rHDlGUyItLcDBQ4epqKgkIyOddm3cn4nNGWYY1Yk5\njSAiozias31PVZclU1gysDRCYvnvm3P4xe/+Qo9Bo6t8D2zOMKMlkjBvBBH5HvBPoBPQBXhSRG6K\nX6LRVFFVth0oZ+DgIQQPbiH98I46h+IaRksm1vu9bwMTVPUOVb0d50H7neTJav74Kd/UEC0r1m5h\n3abt9BswmL/98TcJmzOsqV+XZOAXHWBa4qE+ybVgDe+NFkZpWTmvzHGTHJ9z6ljycrNTrMgw/E+s\n/Wx/CEwFXsANargEmK6qv0+qugRjOdvE8Oo7C5m7aCU9unbguiunEAjY1DZGyyZub4QQqvo7EXkH\nmIR7QDZVVZckQKPRxNj52X4+/GgVCFx81kkWaA0jRmJ9QDYAWKGqDwDLgVNFJD+pypo5fso3xaol\nGFReenMewaAyYdRx9OjSIWVaGgO/aPGLDjAt8RBrzvYFoEJEBgJ/wRnTPJU0VYYvWbJyPZu37SYv\nN5uzTxmbajmG0aSINWe7RFXHiMhPgBJVfShUlnyJicNytg2nuKSU3//jRYpLSvniBacyemj/VEsy\nDN+QsJwtUCYiVwFfBy70yjLiEWc0DUKuXhsKdvDZ3oOcfNIERg3pl2pZhtHkiDWN8E3gJOBeVd0o\nIv2BJ5Inq/njp3xTTVpCrl5l2V0ItO1NlwEj2LRxHfMXLmp0LanAL1r8ogNMSzzEFGxVdQXwI2Cl\niIwAtqrq/UlVZqScGTNnO/vEg0UA5LfOpc9xY3n5ldkpVmYYTY9Yc7ZTgD8DG7yi/sC1qvpqErUl\nHMvZ1o+f3Ho32qYHW3fsQUTo3b0TaYEA5fs286t770i1PMPwDYnM2f4OOENV13kHHgC86i1GMyUt\nLcC+omIA8nJbkRZwN0Lm6mUY9SfW/5rCUKD12ACYn20c+CnfVJOWKeedxaolHwDQJi8HgB3rl3Hh\nlHMbXUsq8IsWv+gA0xIPsbZsF4vIq8Cz3voXgUUichmAqr6QDHFGamnVugMDBw1h7671BHJLIT1g\nrl6G0UBizdlO996GNpaw96jqNxKuLAlYzjZ2VJU/PTmTHbv3cfn5kxo0U65htBQS6Y0wNSGKjCbD\n1p172LF7HznZWRw/uG+q5RhGk6euOch+6r0+FGV5sHEkNk/8lG+KpmX+sjUAnHD8IDLS01KqJVX4\nRYtfdIBpiYe6WrYrvdfFUersfryZUlxSyvI1m0Bg3MjBqZZjGM0Cm8rcqMZ7Cz9h1ruLGdyvB1df\ndlaq5RiG74k7ZysiL9dSrap6UYOUGb4lGFQWfPwpABNGHZdiNYbRfKirn+1va1l+l1xpzRs/5ZvC\ntazbvJ19Bw6R3zaPwf16plRLqvGLFr/oANMSD7W2bFV1TiPpMHzC/GWrARg/crDNwmAYCaTWnK2I\nLK9lX1XVkYmXlDwsZ1sz8xYs5NkXZ7J05XoE4bYfXsMZp5+aalmG0SRIRD/bC+uoN5oBISvFrA79\n6NIvh7zcVjzx7H/Izm5lo8UMI0HUmrNV1U2hxSsa6L3fDexNsrZmjZ/yTQ/+8c907TeCQ4dLAGiT\nm0O3/iNTYqXop+viFy1+0QGmJR5infDxGuA53PxjAD2B/yRLlNG4BINBDpeUUlkZJDMjnawsNwlH\neUUwxcoMo/kQqzfCMmA8MC8075iILFfVEUnWl1AsZxudW+74BbvKcik5UkaHdm1o6zl8UVjAvXfd\nllpxhtEEiCVnG6vFYqmqloYdOB0bQdZsOHPyqaxdNh8RyMtpBSTfStEwWhqxBtt3RORWIEdEzsal\nFGob8GDUgZ/yTR+v+JRBQ4ZSsX8zwQMFUFiQMitFP10Xv2jxiw4wLfEQq5/tz4BvAcuBa3EzNPw1\nWaKMxiMYVNZs2ka3nv341g+vpX+vrqmWZBjNkoR4I4jI86r6hQToSSqWs63Omo1befyFN2mf35of\nfvNSRGwgg2HUl0TmbOuif4KOYzQyi5evBeCE4wdaoDWMJGIz96UIP+Sbig6XsGp9AVs2rGbs8IGp\nlgP447qE8IsWv+gA0xIPKQu2IvJrEVklIstE5AURaRtWd4uIrBWR1SJyTlj5CSKy3Kt7IKw8S0T+\n5ZXPE5E+jf15miIfrVxPMKj07tapakJHwzCSQ6JytktC/W/rsc/ZwJuqGhSR/wVQ1Z+JyDDgKWAc\n0AN4AxikqioiC4AbVXWBNwHlg6o6S0RuAI5X1RtE5MvApap6RZRzWs7WQ1X5w/QZ7Nl3kK9eciZD\nB/RKtSTDaLIkNGcrIjkiUpPB6c/qpQxQ1ddVNTREaT5uVBrAxcDTqlruDQ1eB0wQkW5Aa1Vd4G33\nOHCJ9/4i4DHv/fPA5+qrp6Wxeftu9uw7SOu8bAb365FqOYbR7Il1uO5FwBJgtrc+RkReCtWraryD\n6L+J604G0B3YGla3FdfCjSzf5pXjvRZ4WiqAgyLSPk5NSSXV+aZF3oOxscMH8t6776ZUSzipvi7h\n+EWLX3SAaYmHWFu204AJwH4AVV1CDD0QROR1L8cauVwYts2tQJmqPlV/+UZDOFJa5uYYA07wyYMx\nw2juxDqooVxVD0R0DarTpURVz66tXkSmAhdw7G3/NiA8gdgT16LdxtFUQ3h5aJ/ewHZvKHFbVd0X\n7ZxTp06lb9++AOTn5zN69GgmT54MHP2lbIz1yZMnN+r5wtez23WjoqKSssJdLF/2UUo+f23rIVKt\nJ1SW6uvht/UQqdYTKkvF+efMmcP06dMBquJJXcRqRPN34E1cbvYy4CYgQ1Wvi+ks0Y95Hm56ndNV\ndU9YeegB2XiOPiAb6D0gm++dewHwCsc+IBuhqteLyBXAJfaArGYe/udMtu3cy5cuOJVRQ62LtGHE\nSyIfkH0XGA6UAk8DhcD345PHQ0Ae8LqILBGRhwFUdSXwLG4a9deAG8Ii5A24YcJrgXWqOssr/xvQ\nQUTWerrq/cCusYlsJTQW23fvY9vOvbTKymTYwN4p1RIN01Idv+gA0xIPMaURVPUw8HNvSQiqOqiW\nuvuA+6KULwaq2Tp6jmRfSpS25si8BQuZMXM2G7fuZPeeA0w5/ywyMmLNIhmGES+xphHeAC5X1QPe\nentc96wm5cHXUtMIoWlvuvQbwZbtuwkGlbTD27jxO1+zaW8MIwEkMo3QMRRoAbyHT13iEWc0HjNm\nzqZb/5EcLjlCMKhkZabTZ8gJKZn2xjBaKrEG28rwIbAi0pcYeiMYNdOY+abKyiCKcqCwCIDWuW5o\nbmjaGz/lvkxLdfyiA0xLPMSatLsVeE9EQr3fTwOuSY4kI9GkpQUoLCqmvLyS9PQ0WudmA5CRbj5E\nhtFYxOyNICKdgIm46XDmhXfXaiq01JztO+/N5Y77/0T3gaPo0jGf3OxW7Fi/LGWzMRhGcyOWnG19\nHkdnAvu8fYZ5B/fPOE+jRg5VZDBg0HHs/2wDGbndoTzNAq1hNDKxeiPcD8zFpRN+BPzYW4wG0lj5\npt17DzB/6Wq69+rHw7//Jb++907uveu2YwKtn3JfpqU6ftEBpiUeYm3ZXgocFz7DrtE0eO3dRQSD\nyriRg+nWydfePIbRrIm1n+1rwJdU9VDyJSWPlpaz/XTjNh574Q2ysjL44TcuJc97MGYYRmJJZM62\nBFgqIm/ihuwCqKreFI9AI3lUVgZ59Z2FAJw5cZQFWsNIMbH2/XkJuAeXt10ELPYWo4EkO980f9ka\nPtt7kPb5rZk4ZkhKtdQH01Idv+gA0xIPsXojTBeRHKC3qq5OsiYjTopLSnnrw6UAXDB5HOlpaSlW\nZBhGrDnbi4BfA1mq2ldExgB3qepFyRaYSFpKznbmW/P5cMlq+vfuyjcvP8emKDeMJJNIb4RpNGCm\nBqPx2b33APOXrUFEmDJ5vAVaw/AJsQbb8nAjGg/zRoiDZOWbXnsn1NVrEF07tUuploZgWqrjFx1g\nWuIh1t4IK0TkK0C6iAzCzZbwQfJkGQ1hzcatfLpxG62yMvncyfWaWd4wjCQTa842B7gNOMcrmg3c\no6pHkqgt4TTnnG1lZZAHH3+JPfsOcv7kE5l0wvBUSzKMFkNC+tl6Eyi+oqpnkMCZGozEMn/ZGvbs\nO0iHdm2YOLr2rl6GYTQ+deZsVbUCCIpIfiPoaTEkMt8U3tXr/NNPrHdXLz/lvkxLdfyiA0xLPMSa\nsz0MLBeR1733YCPIfMObHy6l5EgZA/p0Y0j/nnXvYBhGoxNrznaq9za0seCC7WNJ0pUUmmPOdtee\nA/zxiZdQhRu/fiFdO8bWA8EwjMSRMG8EG0HmX157ZyHBoDJ+1HEWaA3Dx8TqZ3sRsASY5a2PEZGX\nkimsuRNvvmnegoVc/4Of8fjjj7Hg/Tdpk1mRMi2JxLRUxy86wLTEQ6w522m4EWRvgxtBJiI2gixF\nzFuwkEenP01Fbne69GtH+/zWPPGvF8lulWWzLxiGT4k1ZztfVSeIyBJVHeOVfayqI5OuMIE0l5zt\nLXf8gkNpHdi7v5CMjDR6dunohuUWFnDvXbelWp5htDgS6WdrI8h8REVlJQeLXaeQdm1bV/kfhKYm\nNwzDf8TqjXAjMBxnHP40UAh8P1miWgLx5JsKi4qpqHDTkudmZ1WVN3Rqcj/lvkxLdfyiA0xLPNT6\n3ykiT3hvr1HVn6vqid5ya1MbqtucaNepO1vXLKFt6xwE16rdsX4ZF045N8XKDMOoiVpztiKyEjgL\n1wthcmS9qu5LmrIk0Bxytpu37ebRZ15j3+5ttM2qJFipZKQHuHDKufZwzDBSRCJytn8G3sR510ZO\ng6OYp22jM3fxCgAuvfA8zpk0NsVqDMOIlVrTCKr6oKoOBf6hqv0iFgu0cdCQfNPeA4dYsW4LaWmB\nhJrN+Cn3ZVqq4xcdYFriIaYnKqp6nYicKiLfABCRTiLSL7nSjEjmLl4BCqOG9KNNXk6q5RiGUQ9i\n7Wc7DTgRGKyqg0WkB/Ccqp6cZH0JpSnnbItLSvnV//2b8vIKvnv1RTY01zB8RCLnILsUuAjP8UtV\ntwF58ckz6sOCj9dQXl7BwL7dLdAaRhMk1mBbqqpVPeZFJDdJeloM9ck3VVRW8uES5/+TjBkY/JT7\nMi3V8YsOMC3xEGuwfU5E/gLki8g1uB4Kf02eLCOcZas2UHS4hK6d2jGwT7dUyzEMowHUmbMVNxa0\nFzCEsDnIVPX1JGtLOE0xZ6uqPPj4S+zec4DLz5/EmGEDUi3JMIwIEumN8KqqHg/8N35ZRn1Yt3k7\nu/ccoHVeDiOO65tqOYZhNJBY5iBTYLGIjG8EPS2GWPNN7y9ygxhOGjOk3nOLJVpLY2BaquMXHWBa\n4iHWlu1E4Ksisplj5yBrUhaLTY0dn+1j3eYdZGamM27k4FTLMQwjDmLtZ9s3WrmqbvLq2zcFn4Sm\nlrP996z3WbJiPSeNHcrnz7AbC8PwK4mcg2xTHZu8CYyJUZcRA4VFxSxbvRER4eSxQ1MtxzCMOGmY\nAaoRN3Xlmz74aBXByiDDBvWmfdvWKdXSmJiW6vhFB5iWeLBg60NKy8pZ+PGnAJx6YuIHMRiG0fjE\nlLOt8yBhc5P5maaSs/3go1W88vYC+vTozDVXnJ9qOYZh1EEivRGMRqIyGOSDj1YCcMoJw1KsxjCM\nRBFzsK3DYvGshCtr5tSUb1q5dgv7DxbRPr81Qwf0TqmWVGBaquMXHWBa4iGmYOtZLP4EuMUrygSe\nDNWr6t76nlhE7hGRZSKyVETeFJFeYXW3iMhaEVktIueElZ8gIsu9ugfCyrNE5F9e+TwR6VNfPX5A\nVatmYjjlhGEEArXelRiG0YSItZ/tMlzXrsWh3KyIfBzPoAYRaa2qh7z33wVGqeq3RWQY8BQwDugB\nvAEMUlUVkQXAjaq6QEReBR5U1VkicgNwvKreICJfBi5V1SuinNPXOdvQ/GLZ2Vn85DuXk5kR65gT\nwzBSSSK9EUpVNeg8aRJjsRgKtB55wB7v/cXA06paDmwSkXXABG/0WmtVXeBt9zhwCW4yyouAO73y\n54E/xquvMZm3YCEzZs5mzcatHDhYxKUXnWeB1jCaGSm1WBSRe0VkCzAV+KVX3B3YGrbZVlwLN7J8\nm1eO91oAoKoVwEERaR+vvmQSyjfNW7CQRx97hsrcbmR16EfXASNYtHAx8xYsbHQtfsC0VMcvOsC0\nxEOsI8h+7eVODwGDgdtjsVgUkdeBrlGqfq6qL6vqrcCtIvIz4A/AN2KX3jCmTp1K3759AcjPz2f0\n6NFMnjwZOPrlNeb6o39/gn6jTmPP/oPs2rqenFZZjBpzIi+/MpsjxYcbRU+IVHz+yPWlS5em9Pzh\n60uXLk3p+e37qX09ld/PnDlzmD59OkBVPKmLWHO2NwPPeNPhJBwR6Y1n4+gFXlT1f726WbgUwWbg\nbW+2X0TkSuA0Vb3e22aaqs4TkXRgh6p2inIe3+Vsf3Lr3QTye7Flx2doUOnRtQNZGRmU79vMr+69\nI9XyDMOIgUT2s20N/FdE3heRG0WkSwLEDQpbvRhY4r1/CbhCRDK97mWDgAWquhMoFJEJnqH514AZ\nYftc7b2/HJfmaBKkpQU4dLgEDSrZrTLJysgAICPdukAbRnMi1qnMp6nqcOB/gG7AuyISb0D7pdeN\naykwGbjZO9dK4FlgJfAacENYc/QGXK54LbBOVWd55X8DOojIWuD7wM/i1JZ0QrckF19wDis/mgtQ\nNT35jvXLuHDKuY2uxQ+Ylur4RQeYlnio7yPv3cBOYC9Q7Ta9Pqjq5bXU3QfcF6V8MTAiSnkp8KV4\n9KSK1h260G/AYHZuW0PP3D5QnsY1U69k4vhxqZZmGEYCiTVnewMumHUGngP+5bVAmxR+zNn+9dlZ\nbCzYxZQzxnHyWBueaxhNkUT2s+0NfF9Vl8Yvywixffc+NhbsIiszg7HDB6ZajmEYSSTWnO3PwI30\n8h6QjUqurObPnDlz+NAznBl7/EBaZWWmVItfMC3V8YsOMC3xEKs3wvdwXgidgC7AkyJyUzKFNXdK\nSkpZtnojCJw0xmZiMIzmTqw52+XARFU97K3nAvNUtdrDKj/jp5ztWx8u480PljJkQE++dsnnUi3H\nMIw4SLSfbbCG90Y9qaisZP6yNQD2UMwwWgixBtt/APNFZJqI3AXMA/6ePFnNm+VrNrFi2Ud07phP\n/17RRjM3Ln7KfZmW6vhFB5iWeIjVG+F3IvIOcIpXNFVVl9S2jxEdVeXDJasAOHnsUEJOaoZhNG9i\nnoNMRE4AJgEKvK+qHyVTWDLwQ8425Fmb43nWZpiVomE0eRKWsxWRO4DpQHugI/APEbk9boUtkFCr\ndtzIwRZoDaMFEWvO9qvAOFW9U1XvACbijGCMenCg8DAr1m4mEBDKCnelWk4Vfsp9mZbq+EUHmJZ4\niDXYbgOyw9ZbcayRtxED85auJhhUhg/uQ15Odt07GIbRbKg1ZysiD3lvewHjgf9662fjbA8vTa68\nxJLKnG1ZeQW/evQ5So6Uce2VF9C7e1w+PoZh+IhEeCMsxj0QWwT8J6x8jlduxMiyVRsoOVJGz24d\nLdAaRguk1jSCqk5X1ce8ZXrE8lhjiWzqqCoffOR19/KG5vop32RaouMXLX7RAaYlHmJ6HC4ig3H+\nssM4mrtVVe2fLGHNiXWbd7B77wFa5+Vw/OC+qZZjGEYKiNUbYS5uHrDfARfiJmZMU9Um1f0rVTnb\nx158g083bOOsU8ZwxsSRjX5+wzCSSyK9EbJV9Q1ccN6sqtOAKfEKbAns2V/Ipxu2kZ6exriRg1Mt\nxzCMFBFrsD0iImnAOs/P9jIgN4m6mg3zvEEMo4b0Iy+nVVW5n/JNpiU6ftHiFx1gWuIh1iFM3wdy\ngJuAe4A2HJ3N1qiBI6VlLF6xDoCTxppnrWG0ZGL2Rqj1ICIPqep3E6AnqTR2zvb9xSt4bc4i+vfq\nyre+1Hiz5RqG0bgk2s+2NiYl6DjNhmBQmbdkNWCtWsMwEhdsjQhWbyhg/8Ei2rXNY0j/XtXq/ZRv\nMi3R8YsWv+gA0xIPFmyTxAfeZI4njRlKIGCetYbR0klUznaJqo5JgJ6k0hg523kLFvL0czNY/ukm\nAoEAd958HadOOjmp5zQMI7Uk0s/2i3WUPVBPbc2SeQsW8uhjz1CS2Zku/UYw4Phx/OPp55m3YGGq\npRmGkWJiTSP8vLYyVZ2eEDVNnBkzZ9O57/EUFZcA0DYvh279R/LyK7OrbeunfJNpiY5ftPhFB5iW\neKi1n62InA9cAPQQkQeBUDO5NVCeZG1NjsrKIEVFxahCTnYmGenu8pZX2GTEhtHSqcvPdhQwBrgb\nuJ2jwbYQeFtV9yddYQJJds72Z7ffzdbibCorg3Tt1I6cVlmuorCAe++6LWnnNQwjtcTtZ6uqy4Bl\nIvJPVbWWbB2MHj2GuX/9J/2OP5HsVpkA7Fi/jGumXpliZYZhpJpYc7YTROR1EVkrIhu9ZUNSlTVB\nDldmMmjIUNIP76Bi3xYoLOCaqVcycfy4atv6Kd9kWqLjFy1+0QGmJR5i9Ub4G84f4SOgMnlymi67\n9hxgQ8FO+vQfyE+v+SKtsjJTLckwDB8Rq5/tfFWd0Ah6kkoyc7YvvTmP+UvXMH7UYC4+66SknMMw\nDH8Sd85WRE7w3r4tIr8GXgBKQ/Wq+lHcKpsBR0rLWLJyPQATRg9JsRrDMPxIXTnb3wK/ASYAJ+Km\nxvlt2GIAH61YT1lZBf16daFrx3Yx7eOnfJNpiY5ftPhFB5iWeKirN8LkRtLRZAkGlfnLnLvXxNHm\n7mUYRnRizdneTPWpyw8Ci1V1aTKEJYNk5GzXbtrO9Odfp03rHH707S+QFjBvH8NoaSTSz/YE4Dqg\nB9ATuBY4H/g/EflpXCqbOPOXulbt+JHHWaA1DKNGYo0OvYCxqnqzqv4QF3w7A6cDU5OkzffsP1jE\n6g1bSUsLMG7EoHrt66d8k2mJjl+0+EUHmJZ4iDXYdgLKwtbLgS6qWgwcSbiqJsL8ZWtQVY4f3Ie8\n3OxUyzEMw8fEmrO9HbgM+A/OH+FC4CVcT4VHVfUryRSZKBKZsy0vr+BX//dviktKufbKC+jdvVNC\njmsYRtMj7n62IVT1HhGZBZyCe1B2raou8qqbRKBNNB+v2URxSSk9unagV7eOqZZjGIbPqTWNICJt\nvNf2wHrgCeBJYINX1iJRPdrda8KoIYjUf9obP+WbTEt0/KLFLzrAtMRDXS3bp4EpOE+EaPff/RKu\nqNGtKZMAABzVSURBVAmwdecetu3cS052FiOP65tqOYZhNAESMgdZUyFROdtnX32PZas2cOq44znv\ntBPq3sEwjGZNIucgC4jI10TkDm+9t4iMT4TIpkbR4RI++XQTCEwYdVyq5RiG0USItevXw8BJwFXe\nepFXFjcicrOIBMNzwCJyi+edu1pEzgkrP0FElnt1D4SVZ4nIv7zyeSLSJxHaorFw+VoqK4MM7d+L\ndm3zGnwcP+WbTEt0/KLFLzrAtMRDzObhqnoDUAKgqvuAjHhPLiK9gLOBzWFlw4AvA8OA84CH5egT\nqEeAb6nqIGCQiJznlX8L2OuV/x64P15t0agMBlnw8RrA3L0Mw6gfMfvZAicDi1R1jIh0Av6rqmPi\nOrnIc8A9wAzgBFXdJyK3AEFVvd/bZhYwDReQ31LVoV75FcBkVb3O2+ZOVZ0vIunADlWt1vE13pzt\nJ59u5umX59CxfVu+d/XFBAL174VgGEbzI5HeCA8BLwKdReQ+YC7wyzjFXQxsVdWPI6q6A1vD1rfi\nPBkiy7d55XivBQCqWgEcTEbXtHlLVwEuV2uB1jCM+hBTsFXVJ4Gf4gLsduBiVX22rv28ecuWR1ku\nAm4B7gzfvAH6G41dew6wsWAXmZnpjB0+IO7j+SnfZFqi4xctftEBpiUeYp2DDOBT3BTm6YCKSG9V\n3VLbDqp6drRyETke10d3mZeO7QksFpEJuBZrr7DNe+JatNu895HleHW9ge1eGqGtl1euxtSpU+nb\nty8A+fn5jB49msmTJwNHv7xo6/OWrmbzulUMHdi7an6x2rZvSush/KBn6dKlKb8eofWlS5em9Pz2\n/dS+nsrvZ86cOUyfPh2gKp7URaw52+/iWqG7CZvwUVVHxHSWuo+/kaM522HAU8B4XHrgDWCgqqqX\nO74JWAC8AjyoqrNE5AZghKpe7+VyL1HVK6Kcp0E52yOlZdz/6HOUlVVw09UX06VjfoM/q2EYzY+E\neSPgZtY9TlX3xi8rKlURUFVXisizwEqgArghLELeAEwHsoFXVXWWV/434AkRWQvsBaoF2ngITXvT\nv1dXC7SGYTSIWB+QbcGlEJKCqvYPv+1X1ftUdaCqDlHV2WHli1V1hFd3U1h5qap+SVUHqepEVd2U\nKG3HTHszJnHdvSJvEVOJaYmOX7T4RQeYlnioa3bdm723G4A5IjKTo762qqq/S6Y4P7B+yw727Cuk\nTeschgzoVfcOhmEYUag1Zysi0zh6iy9EmNGo6l1JU5YEGpKzffI/b7FqfQFnTxrD5Akjk6TMMIym\nTNw5W1WdFuOJHlLV79ZDW5Ng/8EiVm0oIC0twInH12/aG8MwjHASNUPhpAQdx1fMX7YGFEYc1zfh\n0974Kd9kWqLjFy1+0QGmJR5sOtgaKC+vYNEnawGYaD4IhmHESUL8bEVkSbw+CY1BfXK2iz9Zywuz\nP6BH1w5cf9WUBs3GYBhGyyCR3ggtClXlwyVed6/RDZv2xjAMI5x6BVsRyamh6oEaypsc8xYs5KYf\n38oL//4XC+e+RUnhnqScx0/5JtMSHb9o8YsOMC3xEOtMDSeLyEpgjbc+WkSqzMNVdXpy5DUu8xYs\n5NHHnuH/2zvvcCuqc43/Xg4dRARREVHUkMSCggVJbMRuFEvEmqjcmMSSxMREk2CNN9Z7NV7NVRMr\nYJRYEhONioWIJV5AkKMoarCAVEUMIChwgO/+sdaG7WH2ORt2mTmc7/c88+yZtae8M7P3N2vemfWt\npW02Z/Nt+7D9znty5x8fZOz4l9OW5jhOE6fY3AjjgcHA33LerKQ3zGynCusrK415tkMvvQLruCXT\n58wDg55bdqNVTQ0smsGVl19cRaWO4zQlyurZJmT4WrFeqjLMypWrWPL5MjBo365NCLRA3YpVKStz\nHKepU3RuBEl7A0hqLel84M3KyUqHmpoWLF0eWiO3a9tmdXmrluV/jpglv8m1JJMVLVnRAa6lFIqN\nImcDPySkPJwF9IvTGxRHH3ko70weD0DbNqGLtTnvvsqgIw5NU5bjOBsAZXnPtqnQmGe78NMlnHfp\ndcyc/h677rAdrVvWMOiIQxnQf88qqnQcp6lRtny2kkYA55rZgji9CXC9mX23dJnZYfrsj+i+VS/2\n2+frDDkusZMJx3Gc9aJYG2GXXKAFMLN/A7tVRlJ6fDDrIwC26bF5xbeVJb/JtSSTFS1Z0QGupRSK\nDbbK7602jtdURlJ6TIvBtlePzVJW4jjOhkax79meBlwEPEDIa3s8cKWZjaisvPLSkGe7dNlyrrj5\nT6iFuOSHJ9O61br0hek4TnOmbJ6tmY2QNBE4gJBA/Fgzm1IGjZlhxpyPMTO22qyrB1rHccrOujRq\neINQs30UWCxp64qpSoHpsz4EYOsqWQhZ8ptcSzJZ0ZIVHeBaSqHY3AhHxZ5r3wPGANOAJyonq/pM\nn53zayv/cMxxnOZHsZ7tawQL4Wkz6yfpG8CpTe3Vr0Ke7cqVq/jNzSOpq1vB0LNPpGP7timocxyn\nqVLO3Ah1ZvYx0EJSjZk9C+xRssKMMGfeJ9TVrWDTLp080DqOUxGKDbb/lrQR8AJwr6SbgMWVk1Vd\npkW/dpstq/fKV5b8JteSTFa0ZEUHuJZSaDDYSsplYzka+Aw4DxgFvAMMqqy06rGmMYO/X+s4TmVo\n0LOV9IqZ7SbpHjM7tYq6KkKSZ2tmXPOHB1m85HPO++6xbLpJp5TUOY7TVCnHe7ZtJH0b2FvStwgN\nGiz3aWZ/KY/U9PhkwacsXvI5Hdq3pWvnjdKW4zjOBkpjnu1ZwL7AxgTb4Mh6n02eaXkWQjU7dsyS\n3+RaksmKlqzoANdSCg3WbM3sBUkvATPM7MoqaaoqH8x2v9ZxnMpT7Hu2tWbWtwp6KkqSZ3vD3X/l\n408WctYp36Rn924pKXMcpylTzvdsn5E0WNW8z64Ciz9bysefLKRlyxq23Kxr2nIcx9mAKTbYnkXI\ni7Bc0qdxWFRBXVUhZyH07L4pNTXl72esIbLkN7mWZLKiJSs6wLWUQrFZvzpWWkgarPFrPR+C4ziV\npVjPdr+kcjN7vuyKKkh9z/b3Ix9nxux5DDnuIHr36pGiMsdxmjJly2cL/ILwfi1AW6A/kMtv2ySp\nq1vBrA/ng/AHY47jVJyijEozO9LMBsXhYGBnYEFjy2WZmXM/ZtXKVXTvtglt27Su+vaz5De5lmSy\noiUrOsC1lML6PhWaCexQTiHVJpe/dusqJp9xHKf5Uqxn+7u8yRZAX+B9M/tOpYRVgnzPdvjDz/Cv\n92ZxwhH7setXt01ZmeM4TZlyerYTWePZrgDuM7N/liIuTVatMj6YNQ+oblpFx3GaL8V6tsPMbLiZ\nDSd0h/NpZWVVlo/mL2DpsuV07tSBzp06pKIhS36Ta0kmK1qyogNcSykU2wfZGEmdJHUh1HLvkHRD\nZaVVjumeD8FxnCqzTrkRJH0P6Glml0mabGZ9Ki+xfOQ82wcef55X33yfQQfuxYC+X01bluM4TZxy\n5kaokdQdOAF4LJY1HqUzyvTZ0a/1mq3jOFWi2GD7n8CTwLtmNl7S9sDUysmqHAsWLWHBwsW0bdOa\nzbtukpqOLPlNriWZrGjJig5wLaVQ7AOyB81sFzM7O06/a2bH5b6XNLRSAsvNmvdru9GixQaVxMxx\nnAxTlGfb6EqkSWbWrwx6Kooke2T0WMZOeouD9+nHwL12SVuS4zgbAOX0bDcYpqfQbbnjOE5qwVbS\nryXNlDQpDofnfTdU0lRJb0k6JK98d0mT43c35pW3kXR/LB8raZtC2507bwEtalrQY4tNK7dzRZAl\nv8m1JJMVLVnRAa6lFNKs2RrwWzPrF4cnACTtCJwI7AgcBtyS10PErcAZZtYb6C3psFh+BjA/lt8A\nXFtwo2b02KwLrVsV23jOcRyndMrl2V5oZlet4zKXAYvN7Pp65UOBVWZ2bZweBfwamA78w8x2iOUn\nAQPN7Kw4z2VmNk5SS2COma2VN1GSXXjdMPbZYycO33+P9dhTx3GctSlbbgRJ7Qi1x50I+WwBzMy+\nG0fWKdDm8WNJpwETgJ+b2QJgS2Bs3jwzgR5AXRzPMSuWEz9nRC0rJC2U1MXMPknaqL9f6zhOtSnW\nRrgH2Bw4FBgDbAUsbmwhSU9Hj7X+cBTBEtiWkEFsDnB9gysrI1lIq5glv8m1JJMVLVnRAa6lFIo1\nLr9kZoMlHW1mwyXdB7zY2EIx0XijSLoDeDROzgJ65n29FaFGOyuO1y/PLbM1MDvaCBsXqtUO/91v\n+PCtF9mqRw86d+5M3759GThwILDm5DW36RxZ0FNbW5v68chN19bWprp9Pz8NT6d5fsaMGcOwYcMA\n6NWrF8VQbG6E8WbWX9ILwDnAXGCcmW1X1FaS19ndzObE8fOAPc3slPiA7D5C1zs9gGcIwd4kjQPO\nBcYTmg3fZGajJJ0D9DGzs6OXe4yZnZSwTfv+hTeyYsF0fnD6SQzov+f6ynccx1lNOfPZ3h4zfl0M\nPAJ0BC4pUd+1kvoS3kp4HzgTwMymSHoAmELInXtOXi+N5wDDgHbA42Y2KpbfCdwjaSowH1gr0OZo\n26YVG223C48+9qQHW8dxqkaxzXVvN7NPzOw5M9vWzLqZ2e9L2bCZnRabAO9qZseY2Yd5311lZl8y\ns6+a2ZN55RPNrE/87ty88mVmdoKZ9TazAWY2rdB2c/2N1a1YVYr8kql/i5gmriWZrGjJig5wLaVQ\nbD7bLSTdGV+xQtKOks6orLTK0LJlDQCtWja7xnOO46RIsZ7tKOBu4CIz20VSK2CSme1caYHlJPee\n7Zx3X+UHQ052G8FxnLJQztwIm5rZ/cBKADOrI/ipTY9FMzzQOo5TdYoNtosldc1NSBoALKyMpMpy\n5eUXZyLQZslvci3JZEVLVnSAaymFYt9G+DnhPdjtJL0EdAMGV0yV4zjOBkbRuRGiT/uVOPl2tBKa\nFLk+yBzHccpJ2TxbSScA7czsdeBY4H5Ju5VBo+M4TrOgWM/2EjNbJGkf4EDgLqCk92ybO1nym1xL\nMlnRkhUd4FpKodhguzJ+HgncbmZ/B1pVRpLjOM6GR7Hv2T5GSPZyMNAPWErIjbBrZeWVF/dsHcep\nBMV4tsUG2w6EXhNeM7OpkroTEr88VR6p1cGDreM4laBsD8jMbImZ/dnMpsbpOU0t0GaNLPlNriWZ\nrGjJig5wLaXgCQIcx3GqQFn6IGsquI3gOE4lKGduBMdxHKcEPNimRJb8JteSTFa0ZEUHuJZS8GDr\nOI5TBdyzdRzHKRH3bB3HcTKCB9uUyJLf5FqSyYqWrOgA11IKHmwdx3GqgHu2juM4JeKereM4Tkbw\nYJsSWfKbXEsyWdGSFR3gWkrBg63jOE4VcM/WcRynRNyzdRzHyQgebFMiS36Ta0kmK1qyogNcSyl4\nsHUcx6kC7tk6juOUiHu2juM4GcGDbUpkyW9yLclkRUtWdIBrKQUPto7jOFXAPVvHcZwScc/WcRwn\nI3iwTYks+U2uJZmsaMmKDnAtpeDB1nEcpwq4Z+s4jlMi7tk6juNkBA+2KZElv8m1JJMVLVnRAa6l\nFDzYOo7jVAH3bB3HcUrEPVvHcZyM4ME2JbLkN7mWZLKiJSs6wLWUggdbx3GcKuCereM4Tom4Z+s4\njpMRUg22kn4s6U1Jr0u6Nq98qKSpkt6SdEhe+e6SJsfvbswrbyPp/lg+VtI21d6XdSVLfpNrSSYr\nWrKiA1xLKaQWbCV9AzgK2MXMdgaui+U7AicCOwKHAbdIylXPbwXOMLPeQG9Jh8XyM4D5sfwG4Foy\nTm1tbdoSVuNaksmKlqzoANdSCmnWbM8GrjazOgAzmxfLjwZGmlmdmU0D3gH2ktQd2MjMxsf5RgDH\nxPGjgOFx/M/AgVXQXxILFixIW8JqXEsyWdGSFR3gWkohzWDbG9gv3vaPkbRHLN8SmJk330ygR0L5\nrFhO/JwBYGYrgIWSulRSvOM4zrrQspIrl/Q0sEXCVxfFbW9iZgMk7Qk8AGxXST1ZYtq0aWlLWI1r\nSSYrWrKiA1xLSZhZKgPwBLB/3vQ7wKbAr4Bf5ZWPAvYiBO0388pPBm7Nm2dAHG8JzCuwTfPBBx98\nqMTQWMyraM22Ef4KHAA8J+nLQGsz+1jSI8B9kn5LsAd6A+PNzCQtkrQXMB44FbgprusR4HRgLDAY\nGJ20wcbeg3Mcx6kUaQbbu4C7JE0GlgOnAZjZFEkPAFOAFcA5eS0RzgGGAe2Ax81sVCy/E7hH0lRg\nPnBS1fbCcRynCJpVCzLHcZy0aDYtyCQdFhtJTJX0yxR13CXpw1ijTxVJPSU9K+mN2LDk3JR0tJU0\nTlKtpCmSrk5DRz1NNZImSXo0ZR3TJL0WtYxvfImKauks6aHYEGmKpAEp6fhKPB65YWFav92oZ2j8\nD02WdJ+kNonzNYearaQa4G3gIMIrYy8DJ5vZmylo2RdYDIwwsz7V3n49LVsAW5hZraSOwETgmJSO\nS3sz+0xSS+BF4Hwze7HaOvL0/AzYnfBu91Ep6ngf2N3MPklLQ56W4cBzZnZXPE8dzGxhyppaEP7T\n/c1sRgrb7wX8A9jBzJZJup9gcQ6vP29zqdn2B94xs2mxEcWfCI0nqo6ZvQD8O41t18fM5ppZbRxf\nDLxJeJ85DS2fxdHWQA2QWnCRtBXwTeAOIAsPVVPXIGljYF8zuwvAzFakHWgjBwHvphFoI4uAOqB9\nvAC1JwT/tWguwXZ1o4dIrqGEE4lX6H7AuJS230JSLfAh8KyZTUlDR+QG4AJgVYoachjwjKQJkr6f\noo5tgXmS7pb0iqTbJbVPUU+Ok4D70tp4vOO4HvgAmA0sMLNnkuZtLsF2w/dKSiBaCA8BP4k13Kpj\nZqvMrC+wFaFl4cA0dEg6EvjIzCaRgRolsLeZ9QMOB34Ybag0aAnsBtxiZrsBSwjvxKeGpNbAIODB\nFDVsD/wU6EW4K+wo6dtJ8zaXYDsL6Jk33ZMvNv1ttkhqRcgn8Ucz+2vaeuKt6WPAHo3NWyG+DhwV\nvdKRwAGSRqSkBTObEz/nAQ8TLLE0mAnMNLOX4/RDhOCbJocDE/PyqqTBHsBLZjY/pgr4C+E3tBbN\nJdhOIGQJ6xWvhicSGkI0a2I2tTuBKWb2Pynq2FRS5zjeDjgYmJSGFjO70Mx6mtm2hFvUf5jZaWlo\nkdRe0kZxvANwCJDKWyxmNheYERsgQfBK30hDSx4nEy6IafIWMEBSu/h/OojQRmAt0mzUUDXMbIWk\nHwFPEh6+3JnGE3cASSOB/YGukmYAl5rZ3WloAfYGvgO8Jik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| |
"text": "<matplotlib.figure.Figure at 0x7fa1dd87a310>", | |
"output_type": "display_data", | |
"metadata": {} | |
} | |
], | |
"language": "python", | |
"trusted": true, | |
"collapsed": false | |
} | |
], | |
"metadata": {} | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Iris (Python 2)", | |
"name": "iris_python2", | |
"language": "python", | |
"codemirror_mode": { | |
"version": 3, | |
"name": "ipython" | |
} | |
}, | |
"name": "", | |
"signature": "sha256:f6db48bde8d6ea93e12ce624cbaa79408dffca8d02fb6b2ac6ed46ba94b60f3d" | |
}, | |
"nbformat": 3 | |
} |
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