{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "This notebooks shows how to use the tmask from mesh_mask.nc file to mask variables.\n", "\n", "It also compared the timing of using tmask vs searching for zeros." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import netCDF4 as nc\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "f = nc.Dataset('/results/SalishSea/nowcast/11jan15/SalishSea_1h_20150111_20150111_grid_T.nc')\n", "\n", "sal = f.variables['vosaline'][:]\n", "t = f.variables['votemper'][:]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Loading and manipulating mask" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1 loops, best of 1: 1.17 s per loop\n" ] } ], "source": [ "%%timeit -n1 -r1\n", "mesh = nc.Dataset('/data/nsoontie/MEOPAR/NEMO-forcing/grid/mesh_mask_SalishSea2.nc')\n", "tmask = mesh.variables['tmask'][:]\n", "np_mask = np.abs(1-tmask) #tmask is zero on land, one on water. We need the opposite for numpy masking\n", "\n", "np_mask=np_mask +np.zeros(sal.shape) #expanding time dimension of tmask so that it can be applied to full array." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true }, "outputs": [], "source": [ "mesh = nc.Dataset('/data/nsoontie/MEOPAR/NEMO-forcing/grid/mesh_mask_SalishSea2.nc')\n", "tmask = mesh.variables['tmask'][:]\n", "np_mask = np.abs(1-tmask) \n", "np_mask=np_mask +np.zeros(sal.shape) \n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Masking one variable\n", "a. Searching for zeros" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1 loops, best of 5: 8.97 s per loop\n" ] } ], "source": [ "%%timeit -n1 -r5\n", "\n", "sal_m = np.ma.masked_values(sal,0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "b. Using tmask" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1 loops, best of 5: 301 ms per loop\n" ] } ], "source": [ "%%timeit -n1 -r5\n", "\n", "sal_t = np.ma.masked_array(sal,mask=np_mask)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Masking two variables\n", "a. Searching for zeros" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1 loops, best of 5: 13.6 s per loop\n" ] } ], "source": [ "%%timeit -n1 -r5\n", "\n", "sal_m2 = np.ma.masked_values(sal,0)\n", "t_m2 = np.ma.masked_values(t,0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "b. Using tmask" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1 loops, best of 5: 603 ms per loop\n" ] } ], "source": [ "%%timeit -n1 -r5\n", "\n", "sal_t2 = np.ma.masked_array(sal,mask=np_mask)\n", "t_t2 = np.ma.masked_array(t,mask=np_mask)" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "# Check masking" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Fh/N3WZiXiw3NItunVGemtifIkdjzGRXCd4GPKqW+ISJPu+QqIoeUUr1J/S6w\n51nAvMNa+S/y5pKfYMaXMv11q/+yfrmrqQ2fhVqJ9x3eed0Z+HmP6FzPCduHDWP9kFS7baX5+8bB\n9bo4av4yWqsDliZKCRLFDwZL/GAwPTRRRFqAW4B/Vkp9w2weEpETHffXVOeyINkG6GTXO9FBEb9A\nE+k48brUpDnZSXWlXCv1Wviv63Fk6G77jGdQGyeqxltIOCap36TzWMOYLSEEUSLzgEWDZkm2T6q+\nTG1PlmHfQCbolATDSqkPONuvJcb9NXEMgWwDqmCr2o4SRaa5SVx80nQlyTxREpg81RUVXKQRoi+Z\nflppI98BtFTr+sMm9dPI+1qJ6BpL1ErXAQuOZpHtL9Xa+g2BU+WAT7YvBr4HPEQUDXsV8CMS3F9j\nxxDINiAT3u5lEUuKyrKSrUu0vk43LposCXEGvKQghiT4vrbjaMl5i0ThvP51BNJdNGgW2f5CnZSp\n7TPkV6FSQ8AiwbtM2Z040nVzKyS5j63ytichyS0tS2QaRCRuk/X4kWSWUN8utX3aMQa1woKjWWS7\nQ52aqe3Z8stQqSFgkeDzSnsKxIXtuvD1vJaEjzqf8fZBfERYkota3PnijHv2OHfbW0yyng7nGLsM\nku2yQ3mB6S6QbcDMYF2vLjEFKG32MSvxJpGw63IVlzc3bjnTCLY0uONwPRmsysG6nd0SSHe5oNyw\nf2NzEcg2YHbw8xdskahkuo1Ft6RajPnsei34aRt9JG1PQlxfSRFmSSHDl0i190MHjfkKBywaBLIN\nWF6w/rfWM8EaplyVQpI3g12uco7ziTJLpQYXvvTqb7fuX0n95ol8kK0XhDWsQfTAAPhUIGH5JDrT\n3AiR/7L/m0+j67oYqKfmZ2xJfrbzhUC2Ac2Fa1B6t3kVt/kYSlSTm3sDujpTNzgiLtqtUdeuOFiJ\n2o7DekykjQvnmLi+3y8rlnBlG9r5yfdAsfxmv6tps+yi8QfnLBF0tgHLF3EVf60u1JU4XY8G31Us\nLiPZTEOM4+BHusUVprQoEz04kvpZyTgJTaIAq0C9fCEHU4ugRghY/rjZEOylqtqwBtXGsjKaeAtE\n+XfTKkzE3TuzJcK4AAyfdF3Cdd3cVgFfMgEY48xLUpunK3n8NZmUyFEmT5kcZXIUaa18nqCdKVor\nbS1exg8AuIcXAVT1UTTtRzied/KVyjEX86+M0cVB+hjheFrP0AEDXT1jtB03SY4SunbT4oG99oVC\n1uThu9F4yflWAAAgAElEQVQxRWVgWin1grTEuSJyFTp5eBm4Uil1l9df8LNdSbjZUSdY4tpDdVnQ\nOL1pkmTr561NkkT9vizquZGl5cF1j/eJ1up0fbXHh+durrtkCxGJFilQJscUrZTIMUk7JXJMme1p\nUp7brkiBKVopUuAAunLwGF0cYC0TtDNCT9Wx93Fh06+xWX62d6kXZ2r7Svn+gvrZKmBAKXXI2bYF\n+I6TOHcLYMvivBnYjCmLIyJnKqWONXPgAUsIlzpk8yWJpNez0RLgE177JP/cOCNXVrKMy8vgGr/i\n4CYVd2GP8XW7dnx+mPJfS1RJ94+aQ7ylUc0FuQ4treVK0WDqFaYE+B4XAPGv1q/gPwG4jVdVtk3S\nVinJblEmxzr2AXA972r0EuYdS0ln6zP9xcBLzfqX0fbFLcAlwA1KqWlgt4jsQtcj+yEBAZcnkM1r\nnTLs7tKuuwYzqJZufVJsJGl4XPss8I9xx2tdxfyIOYB/Mq5kb5sd6ebM+drHp/RwzHdRaM/W70vY\nxve4gJx3IWVy3MOLKFKgFSoE28oUZXL0mdRorkphqWCp6GwVWkItA59VSn0e6FdKDZn9Q2i3doB1\nVBPrk2gJNyAgGW6BxwGpVg1Yfa6FT7Tu0vV4iEt83mzYseWojYyzEq4db8HZ9zXzcGk0f+4efZwY\nr4h8GThBgZF0S6NCvlv3qQ6Ztr215/gh59FKREA+EeU8nUw7E7yWuxsb6yLDUiHbC5VSvxKRE4Dv\niMij7k6llBKRtFkTFLQB2THoTJdfd16o7P0fVyHY19fWq0CR1DYJSSoJH0eplWjTKhrfJfDKhNvj\nEYn68A2FZgwqBxyqrlJRnBBypfTLylGKfa22km6OMmVy5ClXDGhLHUvCz1Yp9SuzfEpEbkWrBZIS\n5+4FNjiHn2y2VWHr1q2V9YGBAQYGBmYy/oDljv9yiOjFUk10fjYx/9W+Xtivu0wLCY7Tzbr+uL4v\nrlVrWsNZ2fnsns8a1O6SamOb6/bm66nrRNGV89Xr5TzsYQMTtFckO+tt4MJXJ4BWNSwEBgcHGRwc\nbHq/UzVPvflFXW8EEWkHckqpMRHpAO4CPgJcREziXGMg+yqakNcDdwObXPeD4I0QMCO8SaJX9lVU\nv5ZDVEXYN4bFZRur58ubBje01/UTdtUIearz71pvhRw60bobpuyOJY4P3LH5qgnzp3IRuQJMtLdR\npJVJQ7KWbEsVtUHeLHNmCOWqzwAXcl+GL2Pu0SxvhH9Rb8zU9m1yy4J5I/QDt+pk5eSBryil7hKR\n+4CbROQKjOsXgFJqu4jcBGxHT8H3BGYNaAqej8634JekjiNYizgic1/vXcm43lum72Jmz2tJvuCN\nxZKvH6nm7k+7A/2HgB+N5WQ3EyC/QZEzetpC+wQATxhTiiu5uq/TvkSbo8wLeSBlUEsXi16NoJR6\nHHhOzPZDaOk27piPAx+f9egCAm421nsrQeaJXr8tsVm+SApocP+gRips+B6MkzRtvzbKzMKVeG3b\nktM+zrfYtnU/W7J+Vp03UWMMe4hnAlCmuhRMqSLJRid2VQrLlWhhabl+BQTMOx649GzOe3SHJtpV\nVFdVsBIlwBVezbI4I1bWrGFZ74ok/a59OPg13CwR+0EZONtclYebvwHgrPoviJZko+FUqw3SsJyJ\nFpaON0JAwILgZzyTPWdtoIsx1j77AD2MsGZC+3qWcsfFO/B/XmnCtfBDa5Pg78sSmZaj2s/Xhhq7\nRjS3H1cV4Kox7N8qIum9AMU+KBZaKedyjBmVwAg9VcRhDV4FimYo1WG7epjR97TcSTUJgWwDAlJw\nGbfWbNvVvoFOxjjxV4cBgZNiJD5baeFdUq0bLVHtIQDN8cf1SdfNIhYHl2DdqsROafhSQRu6Jmhn\njE6mTHhBmXwlzt/9nKSTfAPfmsEFLT8Esg0IaBCb2KNXstTv+7yKUj36hqk4d680gkxSQ8RJrllg\nidYn21VQ7NAS7Qg9lRwEU7QyRlcl14HNW+CSSI4yrUzRzoTJgFDiNl5FK1NOm1IlJHcloThD1y8R\n+QLwWuCAUuocZ/t7gfegH7HfVEp9MK2fBSPbuyXes+Ki4LgQ0AjWZ/DQ2evNqfebY9yCkEm+uhbu\n67/vsmXhErW7Pc7/1yVa6xaWB9UBU6tgrL2TCdo5SB+TznKMLoq0MsLxTNJWId8yeXKU6GKMAlOs\nZYh2JulizIQnlCvkC/BNx7a91CPDsmIWku0XgU8D19sNIvIydMqCc5VS0ybgKxWLTrK9WyQQbkA2\nZCFav93vmqXVp/oleaD2rvB1vvVqosUlsIlz47I62kK0PtFxHFOFAmN0MUE7w6xhjC72sIExutjH\nSRyhiyfYUCFf3b3OYdBpyLaLMboY43Qeo4sx+hkyUm+RvDe423hVRVp+KzcnXNTSx0zJVin1nyKy\n0dv8buCvTQ4YlKpfb2LRkS0Ewg2YA1jpdouTRzfp3otzEXM/zwauIcyRbCsSbaGLKQqM0GPIdR3D\n9PEw5zBEP9vZzPBoH5O7jtelZ46YfteAehGs4/EK8eYos4cN9DHM87mPPobpAsqUaWeiMqSyIdrl\njib72Z4BvEREPo5+N/ozpVRqFMiiJNuAgBnBD2t1sV404V6j4GqpDnKIkzjj+kzq29+elHUsR6Sf\ndf86YWx1KxO5tipJdoQeTa70sZ3NDNHPkw9tgv3AI2iiPeic90Wwj9O8k5/Ly/g2P+OZbGQ35/EA\nXYzRyRgA7Uzya+xKuKDlhST3t8cHn2D3oJ/nsy7ywPFKqReKyPnATcAz6h2wKGF1ukHCDUhEBzjp\nVasRN7NPFfilgj5qw3XT4PrLuss0+LXMHONXhWT7oNQBY91tDNNXkWRH6OFxNjLMGnazkYP0sY91\nDA2t1US7H51Lb8Ssm7pe8ly9VD+pHso9vDrDgJc/ktQIpwycxikD0UPqux+5N0t3TwJfB1BK/VhE\njolIn1JqOOmARUu2AQE1OFNqZ6xvYM6Sncsm8vZ1tD6ZFp3PcYaztLLoLqzKYDWaZNfq5dMntVXU\nBbvZyNP0VCRaq6N9jE0MH+tj+JH1mlwtyfqJcMai04nsBECpMxK+gJWJJrt+fQN4OfBdETkTaE0j\nWlhAsvVPnHRf3GEk3NcECXdlYbMXlPCQqg1KiJtE1iMgLSH45SrKJ+sjLsGMjyTPhTjJN48m907g\nFGA1jJ7WylhOl5YZM6asXWziAGvZzmYOGol2ZLQn0s3uR2sGbYnwHtNnvxnnDnRuvR07Uy58ZaM4\nwxpkInIDulBCn4jsAf4n8AXgCyLyMDAFvL1eP4tGso1zb5yOaxiwsmBn6PkS5USw290J82MF53oE\nmrUmmRvt5adQjMtdUE9na2HVBacAfVA8Q7t0WanVSrEHWcODPIfdbOTBbS+En6ElWLdPO95O83ci\n1WqQC0G9GbTdJiAOM82NoJT63YRdv9dIP4uGbKH6bc4n2iDhrjBsV5pg41yt3EQuLh4yc2Oz1La3\n66ebfZ/wjk0jUTcqLIu+1qoN1qJVB6dBqQ8ebz+VEY7nMU7nIH08zLkcYC37WMf9P79QG73uQ0ux\nVoK1S3vefmAj8DvoTNE9RTjaCk81PSPgskOIIIuBHVScZHu3CHlgIJDu8sePvbLnfmpDl/gGJKrw\n4CbvtmRdpjqJzfuAVwIvRhOiW+fMwk8KXk9vaz0cVqMJ15Dt+LrjGC6sYQ8bOGDct4bo536exz7W\nceCJdfB9tDS73xx7MjBp1sfQKoIjaPLdDdyJlnAvLaD+kjp28ABYwWTb4n3OojJoIRrwvSK0meMu\nCMS7vLGWah1qkVoXrW87c8AnTjcxDGiPBNB6W0vG1i2rTCTlutJuPT2wm9fAeh10Aqu17+wIPQyz\nhoP0sYcN7GEDDz7xfNid1yRrDV+/bc51EC3RWu+D3cCvgNIQ0ALH92ry/ejt8JevS//+AoAlkM92\nvmDJd5r03B0tQJtZnzTbdxvi7Q+kuzxhpTabOHwYTaCupHq+6MJMLkkeJn2G+5Ue3NwGea+NS/Yu\n8SaVQjfkrTrgiIkGmzARX7vYxGOcron2IPrv8hJnnrId0Iac4Yk1TIy1cWxvh96fA+4HHhgFdsHT\nQ2By1Ypci1J/nnKhAbBE8tmKSA6tTXpSKfU6EekFbgROxVRpUEqNmLZXAe9ET8MrlVJ3ZTmx1dPG\n6WvbzF+3XeYhbzoolWDa3HCTnUKbrfH7WCDeZYOrFAfpYs29RzSh3gccAvahJ8wwUfWGLG4uNsDh\n9Qpu93LfWom4hJZQraQLURJwS7pJ3gg2yXkJpEwlYcwkbRyhi0namJhojyLJngVXnPJZ1rGPdiYo\nUqDcniPXXqa9X9N0zytH2MMGrnrR38J/nQFci/4ytMgh8pHKMJS6Ou3bXLFYKmqE96HL3HSZz1uA\n7yilrhWRD5rPtv7Ym4HNmPpjInKmUuqY36GrRpgmklRdorVCSov56wa6VkG38VOk1zQoom+EcaIb\nwBpCAukuC4zQw5pnHNH60CKaaI+iJU+bSMZVH9hCkeslNlvXdI+eHy0jCm71DGpudBlEc8p6QyTp\njt3lOPqBsAoKJxQr2bhamWItB+hsH+NXL1pHkQIFo2Tu4yDn8nAlaUyZXCWfQTuTXMA2Lv3Bzawt\nH6D73ikYB/nNrTXflSXeQLrVmJqh61ezUJdsReRk4DeBjwF/YjZfjPY7A/gyMIgm3EuAG0xyht0i\nsgtd+PGHSScuoYl02tnmqhJKwKhzXIvVrbmhlvZmsjdDkYr0Mdmpb6Qg8S5tbGIP5CV6yJbQxFt2\nlhau/navgv5aA1uLmWyV+fHPzn4/2MEmq7HwyTXOYAf6ITAMPZtGmKCddiboZ4gL2MYEbfyKdZWm\n/QxRYIqT2EcPI5UsXsOsATCZbKdYN3qA/IHoFOq2rfC6MKezYCnobP8W+H+I4m4A+pVSQ2Z9CLBU\nto5qYn0SLeHWwCVYf476xrMSWkgAGB2Hs8fNgf1E1t+jppHbWQ7a1lF1Iw6JUALWK8VmHmDflE6K\nWi7pr2KsfU3ccAMWA05QcJ9U61VtikJLdt+MIZ4hs82SrvFOmHbnyuud4+6QavWBPcZfdws82lI4\nLszk7hk9wlj3GH0Mk6PMBO3kKNPFzyvSaxdjtDLFMGsok6ePgwCGeHNRchl7jtVoLcKlgWizYlHr\nbEXkt9AJcx8QkYG4NkopJSJpv3jiPku4cQPySdgS7iHg0D7o3QdnH0BPurVE1mSojpe3dZ+Kmqjb\nVmnp+Dv8BnAd/a0HdHLmUk/KJQQsGrxGwT+JNn7FRXi9Wqol2xRY6bZUgkMtmognS/pBzF2e+sH1\ntXWRI9kP2BjX8kXoYox2JpiitbJuodULxUr+2XYm6CqOUSgeI1fS5cnzVlV2AH3tVrr9qMCHa6/X\nXk8ceqdXJkEvdp3ti4CLReQ30fJDt4j8MzAkIicqpfaLyElEP/1eYINz/MlmWw3+HrCK3POAZ1Pt\nkeAProXI+2DI/O0ahvww9P9CK5NP7oC2Dpgu6huozRbNWwf0Q/frgBfC/uet5hWPf5/tHzKZO74L\nX9kHbw3eDEsDtrjj26Xa4T9PvGRrYSXcNZqIKoZV83CedIn7labtf0jtU99OzKS8tu72VXaT1tm2\nMUEfwxX9odXPtjNhEn1rKbZj5zF9V+0zRNtBpAu265dXX2sawaa1yzvjb4nhI7u/ZWR+7o/BwUEG\nBweb3u9Ck62ojAQjIi9F52x8nYhcCwwrpT4hIluAHqWUNZB9Fa2nXQ/cDWxS3klERP3UrLveB3ZO\nx/ncuvuS2lm3sE1m2W3Il370BF1HpNc9DDwCh56AO+xN5/T57kC8ywZDTlUQ6x5oDWSlEkyX9RJg\ntAQb4377uxIKSEIy6Ro1h1oHI71t7GZjxf3L1k2wsGkPdaaEI6y/fxieQBsCR4nc3ay67JbGpNkk\n5L0xp5Ftpc08ka6FiKCUmlWInIio16hbMrW9Q9446/PFoVElhv2WrwFuEpErMK5fAEqp7SJyE9pz\noQS8xydaiziPHCu5xg0qy0Cnzd9PzJJx/ddyoFoPPGHO75Krb7D+jFe2J5Dv8oDV2efRD2OI3Add\nv+0awrWS7l0SP3ktXCI2f1KG1mKRrsJYpcqtLdCYN7TbxzDtTNDGBJVKCtbrYhwt5Salk6T6gZKE\nlpibyD5kfEKtXM4CE20zsdA628ySbVNPKlLDwfeayTJNNOktQcZ9RXH+uO49MO0s46Rit03c8f45\n28x4gqphbvBWvsCEUy3gVi5rav8uGVmybTOv+JNH4+eTO1/Otr/7zVLtCROXF9d6L9iAiNVQ6oCD\n3auZosAEbebwckW90FN8mkLxmFYZlNBZvPYBD1JRJ9jBTJp6AEPGt9iNrGwEceQLi0+n2yzJdkDd\nkantoLxmUUi2c4YLlaoqAhln2PU/u0a06Zg2EBnhfP9dd5/bp+/V4/r5AnxFJBDuHMEaiXoYYQsf\noZMx8pTZwt/Oum+rPthrcmu05COpriUP/dOKvc4DPzZ83Ib3WrjRZDYIIkaypWSMZMUxynl9fQC5\nUol8+RitR0FsNNwoOgz3cTTJDhP5ER8FfqWlzQOHzdidoTSCPJ43hgNfHbHYyHemWAquX/MGtyrD\n183Ez1NLiHifra8u1BrX7L4WtPrADfN1fXzTYMODKzhT4OfLYwIuFnyFd1bW/5C/o0yOTsYokePH\nnMPxhqAqZcxniPVKMSTCdKlamrWSb5v57Pt+A3BZzG9+s0NM1mPBGmbdSXgU2nPHwCkpLm74r1F5\nsZMoOm7c+Ttq+u+FlgKsz2uJ/NB49rwiLnyX4kq7GEYYbdPX2D25tOf8QqsRFhXZuniDId57RRhF\nT6gW4l/14wIk3DauJIvT1l36fbr7D6GNbpvQzsaf2QkY3d97g5TbdHyW9wHwV/wZxzPCEboqesz9\n9HCiId6Zol9pKdZKsHGqJZ+cAB5y3rzOtb/7EFRiE/zcCl6yHClSQ8AV10SrKniQ2vwPbnSkEzyR\nz0ObmeDWkSxu3O51WcRJxFbatYRb8UIw11QJADmyNOf8QnsjLFqytbhQqUouW/9GSHp1SiJcV/r1\nJWYf/hezy/z5+LRzAwbibS42sIcjdPE0PeQocyY/A2C8mKOjkJaCSxu5oNbT5Wyl2Gn2xRGTbXeG\n91s+5Bmg7Odz/x5NhLa2mCVEl2jdCDRXpFyF9oo5hM73YAl33GwvUetLbDwSpktaDZLPa2l8wrRJ\nIlUf02n7HMJtK5j1nHapBJbsm10g2wywCcNvN/o2O1F8KTQNvoTrT7ZmVIX4tKP6CN4Ls0c/Bzie\nkUp0VZk8XeUx2sePwT6BR4mSw4yjk2/vAx7Wm3yiBdhh5lAc0ubAuUrVEC7AQ3/stLkNbRSzScZt\nRjC7tDpcnHHb9juJXqOOUCvJ2nUjDVuXtZacVickIU1Sr4dSCVo6zPhWQUsnkeS+WXSC9yWEQLYN\n4HWGwO4wr4DWeAXpXgb+/pkgLqw4qR1ErmOBdGeIp4SNJ5zKJO0Vd6gcJcq5HGKF2rVEr9l5opwJ\n/bDxbNi5I/03m/bWs/y+vm2gCq9T8C8S6Wz9/LZuMvM8kdS6GngDularJc64JDdHo4CdafMdHBqP\nXBkt4m7qNEnWwvZh9doAQ8PGuHi6VKekfGjpzetiTXXQ+cWicf2aCe51pBTfb9Zui4Orq0sLkkhC\nFjdLF3aS/0Eg3nTY7FunAOu0u1Q5D7mS/hP7GnuS9z0+YnIZDKGt+b8AdsDOL1X/tvX0mXEughc6\nv9mOBF/Ws5N+138w7X2y7SDK6WEnjPVG+AciNy+rszVqBas6AB16Pklk7PWRJEUlfQfu9rhjFzJX\ndLNcv86shFKl4+fy7KrzicgXgNeiUxecY7b9L+C30BbPx4B3KKUOp45hqZMtRBbkQ2STUHzDyKSz\nPSsakXJ9f+HLA+nG4w4zv21WN9/NyqZ/O0p14hjQycMvBp6FJqciOiXSPhj9D9jlvWrb3/oCpfiJ\nR6Lu3Ghztj/X/G5JpDuNYzjzcZ1EKgXH/7ZSFNKW5jkMbANuM9e5R6sJrMpgaDzbHK/3ytriLeu1\nXw5ke7p6JFPbx+RZPtn+Blq5c71Dtq8A/l0pdUxErgFQSm1JHcNSJtsKThUY1688k2gBZ4zkpz5U\n+1K6rmDQuP42K/HacGKAAfQ9BXq8K17dsEe0bylUv0pbvCb5+xltE7o3UJEEDx3WhqPudWj3kdXA\nPl3l25UGkx6GcdKfnRNt3vakgBnbzvbZ7ey32/o/TkUfSje68EIv+rq/BdwJo49qkm1bR0XtMD0O\nu1JlqOxkazFNrVFwsaBZZHuq2pGp7S/l7JrzichG4HZLtt6+1wNvVEq9La3fJaWzTYSpKdV/idYr\nbXwQKMOOX2gim6SWEOPcwOx6ql4uBln0ue7+fnSA0CSRsPYlkRUr8Y4Xc3SsQqcwcgszHgUuTP5O\nrPN9Pg+T+6KIsLaCTi5z6Ano7TWN85rPrBshznIsakILOqmRH74Nkeuhu919iMbNF9em4B7Xkkfr\naK1k+9+c6+5AVyQ/Ct37iB46hmgnU8J2iZqm3txxY53slCXr1pUFc+hn+07ghnqNlgfZWvxb9UTZ\nLVIJaHDdwXyvBP9GSYowS0MWzwi770mim9CVlL5idNBvXoak+1a+QKehtTUM08oUG9jDaTzOSYUN\nFE6YoueEEVqLRe1tAEhv/e/BRkG5CWWGS6ayRx5NVCYqyz5442B/v2mi3MmuxOsSresN4z6026md\nB9POn91fMuPdeZ/JVLcOeA5asj1EpGroAP4A+BqVvAiTRRhL8T5IQpquti0PXTZB06kSFcRcZkjy\nRigO/pCpwZr6BpkgIh8CppRSX63bdlmoEerAzbtgDWn2MzHrvlrB358FWXVqLun626ZZHsR7Ad9j\nnalA0M4EPYzQyhRrOEgrU5VE2efxYKUMTJbAhd0xulaoJpZek794dFxnTIr7baGWON3+IMqN4ba1\npOtGneWJJGwLP9GNbVsp8bQWXQulj0ifexj4Fkzfp49v64DJcXhyPH787ljjjF1xOtqWPPSuprZS\n8d7FNeeapUZYq36Zqe0BOTWTGkFELgfeBfw3pVTdR+DykmwTULEo9wuT49pdZhSdaHeSWteZuNDG\nRlUL9ZB0s1RuWPP5RpFKocuBJUq823jJnPUd90bifrdjR7XkZn/DErW/YZYQ8EmqCct1mfUf3pNH\nI4kxb/56p5Wuh2YH2InWz65GR6CtJVKhrAZug9FtsNf1I3bGl+TeZZe+S6SVqlvMeNxghUrDZc4G\nxanm1SATkVejK9i8NAvRwgqRbNPwFUc6SnIAj3OO95FEwjP177WSriXaNqL6Qme81Oy8e3F8h/ON\nnQneAHEPMMsh9uE1SW31JKiWAJM4xxJ1L/p36V0VRXFVVXmmej6ccYrudHrYBAmsBk5DqwlOIdLb\ngg7XfRwO3adz6yapPXxDnX9OFy1mzJZoW3IkplRs+VNiKz8sJJol2XaOP5Wp7ZGOE3xvhBvQNRfX\noLVRVwNXAa1EWqf/Ukq9J3UMK51sXXzJu4nTrNJpPrw+ZkK4/s3fB5wDbLyQSvjn3f+ub7LXLcLv\nci6ww4nQ8xH3HfteB21EQVppultfXRC3vw3ot8npVzknyVFxPZsu6aQxlXDdPFpNYB+WZ5j2+4C7\nTJsfK6Z7pOJPOzQeLwS43g+ugTYuXLebSMq2RNti3c4K6Illk+uDNlSeArx8ccyrZpFt2+FD9RsC\nk6t75yTFYiBbD1kIFxon3ZlKuHE3PBhJxay7Uk4XuhZRnoX1jWw2HjLGTqh1v3URlw/ZIk/k+uWr\nE/y2bga6nzgk70qJXR3mVdwGJtmIMZd4bRADaNJNqY+2LUZiv8CMIynXQxzc6+pH65C7e8351xLV\n7bNku4rI5/c0c4GQ6gkyn2gW2bYO1/GXM5jqWz3/ZCsiq4DvEqntb1ZKbRWRXuBG4FRMpQal1Ig5\n5iq0K0QZuFIpdVdMv4uWbC180rVI0t3GTf4s0WxZkMVn0hLB2egbLI/WS3ezPEjX5iVIM2K5BGrV\nB7406BKt7/cKUR6OtDFYuIYxV0dr0T2pGHSOSdO5xxEtRGRrYXPujlL/oePOCzu+3lPQk8IPJbY5\nEDpNB5+uPq8tI+Rivqo2NItsj9t/JFPbYyd2LoxkKyLtSqkJEckD3wfeB7wROKiUulZEPggc79Ug\nO5+oBtmZSqljXp+Lnmwh8mLYTbwUVI9wm0W2UEu4NX6bZtmGJlz7arkeI9ks8VykFj7hxXmMxJEo\nVPtbu2TbiBrmJyYvB8RHX40563EqpSTCTZNq4+DrrbO8YZXQUXBDIvSuNl4Oq81O44Fg0yhaJOl2\nwcl9e3Bu51azyDayNtbB+lULU6lBKWVTZbai55dCB0a+1Gz/MjAIbAEuAW5QSk0Du0VkF7r448yc\n2BYYXUQGKpuUyY08c5FGtD7SXl/rIYlI3FwPPwEuBM7ogLb/YRq8RXQKv3k0qn09QVqDKF9xozjX\nC69Neq2O83dNivZqBM815/dDvrMEtqThAqWqCDeNaEFHe1nC9fM/pD3kfyLCemDMeDdMmrrYeZMg\nPK7go4sWV0Vica4Z92JPTlNa5Fm/ROQ49P17OvD3SqkfiUi/UmrINBlCv7mCVrG7xPokkRF9ycHG\nuW8kkqiy3FBJEm8cAWdNgeefN450Kw7zmIfEi9FKoHEi44eXi9QtbDmTkOEbM+q4fVgingnpuqTi\nqg7iogLr6ThnYlz0f0f3AWwl18GUB00c7vXa3ytSlQQnDmcY4rfeFlYnXQ/9TlYvvzKDzSZmSTe2\nIKQNMbb6asth5wk8sIgJ9+jC+rZlkWyPAc8RkdXArSLyLG+/EpG0bzh239atWyvrAwMDDAwMZBnv\ngsGG0n7FSDVZX9uyIksKPBdx+jprmymhI0Hb7tTVJdYDLTv0OfYCPxJhEm0Hcfv5jEgi4fqkmgX+\na701fWoAACAASURBVHbcQycL6cYRV708FnGZvPxjZwordW7zcuO653DVBe743fUsv7efJCcJlmSt\nx0U96d0SrluHzCVUm/gmEfapbtdXpbRtEIODgwwODjavQ4vZ/vCzREPeCCLyYXQMwLuAAaXUfhE5\nCbhHKXWWiGwBUEpdY9p/G7haKbXN62dJ6Gzr4UZDWpD9pq4XFDGTJM8+fCK2IcktRNZ4ezP2esdY\no499uMyEZF24xTLjxuW3dWGNO0kSgSvdWjRCqq4RKc0wZuEWJL1IqRpptNGAl3q/te9LG4c4XX49\n2OxlvnTrkq1PtAtZ0rxpOtufZhzzs2d/vtgx1PFGWAOUlFIjItIG3Alcg05aNayU+oQh2B7PQPYC\nIgPZJp9ZlwvZ+rjD1Etz3YuSMBPSTbM+x8ENK016rXYJzSW2pOxWaQ7/Sfv9a0mSeH34fcWRsXt8\nFrcoC/sASur/Im9+3l3noZP2vfiGzCw6+yxEmwVpwRrddp/jRWFJNp/3IszczuxynnIoNI1s7884\n3ufNDdnWUyOcBHxZRHLAccCNSqlvicgPgZtE5AqM6xeAUmq7iNwEbEfPs/csS1ZNgCsdfca8YiYZ\nbuy+tNfgejHu9V4V7ZueG0HVldA2LkTZRb2J0gg5+Fm3ksg37tqSsrWlncc/1v9u60mYMyXaOM+D\nex1/Yf943yiWVYWQ9tskpY+sLB2SzedNEIbrK+zram0GsseW4G3drFj7GSIENcwj/tHR8dnInjw6\nomko4Zikm8V+TlJjJBGI309SmyRCSEOSBDuTOe5LYnF+sz58g1m9Pt3tWVHve4gjWEuajXwP9a7T\nJ+a4+mhx19tulnk00bYVHJJ1q0m4Tz67vkDeBk2TbO/NOP4LF0ayDWgi4sri2JvEVpnw4W6L+7Gs\nQQSSdZdx0mBa3hFXYrYSq9t3ksTun3OmgkSclJyFaOtZ4uPGY8edlXD96/bVDc1C0pj8a3goweAW\nJ8m6v3fbKpOMxg1qsGkdfbK1eJPATUtYSFpKBrKmnXSFSraN4pPOjWSlYBfuzeUbviyyPk3jblR3\n+0x0iFmk6LTxzFaSTesbZjc+F0mEm6YGiFNxzMT/Om5OxJVrr3yfRj9byfplw3Rt+O5qIunW6qH8\ncurzTLhNk2zvzDjuVwXJdsXhT1IeSHcY3Z+b2cqqJCzqScVJOtGsBivbvl6brL7E/jFWWvVDbmcD\nn8RdH9l643PJ2X2oDTrEZn1jGyFad1s9w2ga3PpntsSNDe+tUsmUYKxkcjvYi7B131ZTXQPukFlm\nSyuwuLHAkm0g2yUKa4zbKcIY1a/Rbp0t19nd9xhw1QH+PHTzocap7+IwV5PJJaKZSoAQnyvBP08a\n2flGtUZUJY16n2T5Lv3f8yGRSnSR20+VodTV0doDx9GGrzJRuscCUcUI60e7wGQ1awSyDZgNznCi\ngUqYRDSnAK9Ev/4Noyu0/gJ2jutQQBOhmYkoXEm3nlEt6fhGUe+YRvtMUhdklWQt4qRPvw/f9/ZC\nLww3C5JCwi2SQnmHEs5Tcedb5RDtaqJAhBLwPNNwHTqfJ+i5c4SIqT+9xFV/gWwDZouqrF4DorNW\n/J75vEnxJaNy6EWT8dnogpO2ArF7Y7tuWUlSXlaJLgspxvU12+CA2XocWDTq/haHe70osyTE+QjH\nHdco0foJw6sMYnYJ8LElTqRZsMCuX4FslxsGa28aGw32jyIVFZw1eGVNmON/zkK4WV73ZzP/G3n1\nrhetlgVWwMui4230xsoidKUlp3HzHdjPo05ymUqQgg1UsMawlcQA5fpN5hIr6ate8XBdz66N8f1M\ne822RGN1v1YXnIUsG3Wvqgc/u1VSv0keFo2inq466Rj3vHF91CPYepm/fPh5i93yNy3uQEDrkg5Q\nlZRo2SOoEQIWAn/u3Jj/6OVodQ1ncbkH7J9v2fdJL0klkZV060ndSUET/qRO0tn6/sJJ50tzuUtD\no+Tqoybz1+MxqoI4aW2TPqbtiKpN+m2tZUeBoRVEtKCveQERyDagSuL9khdO6gpEvm43zj3LSrxu\nAhq3ndsmDo0Qkt920vRrK8lmOd5t519r0sNjpuPLinqpFROxqfa4qoQxayQi5zlO+L0oMQvJVkQ+\nAFyBzmL4MPAOpVSxkT4C2QZU4XLvRrchxpYgS87SJdCk6KwWdD4G1zfVHteoHjXrZPWl9Ljtfn++\nyiRuLM1SgyShHsmq1SA2wMDoX5VJFCO9GchzJRKsixmSrYisB94LnK2UKorIjcBl6MIJmRHINiAV\ncSHGEJWAT5u/vkrCSpw229QhdL5O6yccl1gnjixt33FtssBKra5k20ydciPIJMU+JRQ7IJeHYsdx\nlc358jFyJch3r3ASzYrZ6WzzQLuIlNFTee9MOggIaBhvTSAJt/LDerMskVwRYbRNl+2eLGkf4FHz\nl4Z6ocV+Im3fNuQa7Pxtdn0ubCkzVg8YTHS0MpVrBaC1PEU5DxTg43wEgE+84moA1HdmdZrlixm6\nviil9orI3wBPoKfXnUqpuxvtJ5BtQFPRaGkdtxDletDJTh4FjsLoHthxVPsEx/mfpkmik0QJ05OI\n01UruKTskvZMM5elVdJtGCcomBCmcq1cx5U8zDmQg5/xTDaznQ3s4VMv2hL5zAbEI8n16xeD8Phg\n4mEicjy67uJGdODyv4rIW5VSX2nk9IFsAxYXblKwWRtyhoz1uJvqjF5Zrfyum5rf3s+P4PfdRrxe\nOe6cmTJ/3eV5BbxSwU8TIsuOAhdU91loVxSA03kz7UxwDy8D4JZ9l8KjBfgtdBnyk0F+AOpF9Ye0\n4pDkjbBuQP9Z/MdH/BYXAY8rpYYBROTrwIuAQLYBSxzba5O5xKkLpr19Pun6/rjusSVvm+tdYftc\nb/bt8vqtkOutUr308XoFt0sUSOBexL1SnaTCoo7+4jE2sZntXMA21rGPrnVjjK3rYurlrTz2rV+D\nHt0uNzRO1/FjjLSemN7hSsLMdUO/BF5oqtUcRZPvjxrtpC7ZisgG4Hp0EjYFfE4pdZ2I9AI3Aqdi\nqjUopUbMMVcB70QL7lcqpe5qdGABKxfbTHIdm+jar+xg4SeVSfKHjdPLpsFKxH1AWx7OKenPNsH7\nTpFKVq1U3OoQqvsKm0fnrSgTkXAvUcVa4MecY8bSTpkcRQrkKAEvYRenk6NMjrL5n2OMLtpe/DST\nR9pp65ygdZX2SiocGqXY200As9HZ/khEbkabFUpm+blG+6mbz1ZETgROVEo9KCKdwP3AbwPvAA4q\npa4VkQ8Cx3t1yM4nqkN2pqnSa/sM+WwDYrFbhCGq/Xonnc9WWo0zkqUlD0/K9tVCrd+vW0qoF+gz\nO6dLtcLR+qR57Eu7NlQWorpeNmR2NagOmFoFT7evJm+YuWQaTlGgnQmKFABoZ4J9rONnnMktXMo+\n1rGHDRQpMDbVSbmU58hIF5TMiX6VR10QP8ylgKbls/1ARs752wXKZ6uU2g/sN+tHRGQHmkQvRqc8\nAe1vNghsAS4BblBKTQO7RWQXugDkD5s9+IDlhSEnYY6LNCly0HFB813NID4Czl131Qa+emIS7ZbW\n7XTgR9ftFmFj3Phe72y7VaoHYdeLaNeLPSDobIYnlg5X50Uso7NvAXQc0dJvNxzf/xibzniM+9uf\nT5ECQ/RTIqeJ9mAPPJJf8PDURYelFK4rIhuB84BtQL9Syr5ZDUElleY6qon1SSIvoICAVLh+uFAb\n7+9ipwgbiXSucdJu2vFJuF2kpiwQRPfqhHeuyU6h7UjKeV6v4OYEQckSqovXZRvznbyKLsbYwB5G\n6GGEHsrteVgDR05eAyO6nXpJpu6WP5YK2RoVwi3A+5RSY+IYL5RSSkTSZkjNvq1bt1bWBwYGGBgY\nyDqUgGWKfqWgv/GQ0rY89BZ0vlZAi4h7k4/dm2B4m0QLmmvN5zGzdCthQPQwaFtFpfT3dI9Epb/z\nMeevd6Nfmn6tG9hFOxPkzJdz4NhaDh53Jxeb/W/n82xgD+fwMF9s/x9wbp3zLWIMDg4yODjY/I4X\nOMViphpkItIC/F/gDqXUp8y2R4EBpdR+ETkJuEcpdZaIbAFQSl1j2n0buFoptc3pL+hsA5qHNaJJ\nzjEwkSMxo1U9so2ra9aGJlk3BNhWp23rI/I4AK0e+KVz7n+R6pP5Ik4M0V7Mv1Z0tj/nmRQpUDaf\nf7VvHRwpaDeJ3aDeE3uZywZN09n+XkbO+ecF0tmKFmH/CdhuidbgNuD3gU+Y5Tec7V8VkU+i1Qdn\nMAM3iYCAzLAS8GapntHnCTxQe4O15bWxy0rCVjptK2v97LSRQm09N2uwA1NQsQ9t3PKVy0XzF+cI\n7CeWsLisenxb+AhjdJFjHUUKHDBy9hStFKdaGXu6C462aqI9qPuSj+tj1V/UXGqAiyWgRrgQeBvw\nkIg8YLZdBVwD3CQiV2BcvwCUUttF5CZgO/ry3hPE2IA5xZ+Jzs26znyuk0qv91nAPmokzZ1PaOnV\nSrV23epnN66C7nVokvWNWEdh2tQbqmTa+icjHOWoJdwEdDJGG5O0MsUEbbQzwRhdjNEFrdDTP0KB\nIjwDbn/n72j/tK706w0wWApqhKafNKgRApqBT0pUZ62ELlxopZcvpsyv881xlpSNuuEhR71wcl7n\na8ijJeDubuAUMN5XmmDN+ab36U01JOuj4KznqX4oXK6P/T+8w3Sfo0SOSdoryyKt5CnTZpzcnsnP\n+N3n3lrpQv0k+ZKXMpqmRnh9Rs65dW7UCIFsA1YsDrVE91PvdDQf94pUVA0teeg9DS1BdqAJskxE\n6j+OmcefjfGxhUinmxTydrnim1zEBO3kKJGnrN25yFeCF6h0VeYybmUloGlkm9HLg9sD2QYENA1D\nIlGpGCJizTvbunvRJGt1syW0ROxK0L4R7h+ce9RVF/yhqlYrpOCey3+9Yhyzku2UEYutN8LvcFt6\nJ8sITSPb12TknDvmhmyPq98kIGB5wRZGnC5Ffy5actDdgSZaq5cFneglj877NE4t0V6XUILmD027\nK5T+s6G6CXgZPyBPmTJ5ihQqIbtlckzRuqKItqmYzvg3RwiJaAJWPErOynTJlPu2Rq0CETGW0OG1\n5wDfrkO0Fn8UI03FWcVzaDLvAO4VihcOMEUrU7QyQTtTtFak3YAZoqEiNs1HINuAFQebQ8HPh2s5\ncLIIbR1oonXvkHGinLHnG3L1dbaWmK+s88rqJ+i1RGvOqd2/SkzQzgRtxkBWYLImYWRAZiwB16+A\ngGWDnU5By8Q3RuvO5Sbjtt4Hh4m/aeuRqwsr7f6DVLuQlajoh63KoGw8EXaxiWH6GKML+YVCPaPp\nKsXlj+D6FRAwP9gp1QSVVulhYx/awxy0T659BbVE+7tEosoRIol2g1nGqQ/SsE10BJyRbg9u6ATg\nYc7hXl7EP/N2dg2dzrGfmSfAk6De0tgpliqaZiA7L+Nv8sACRZAFBMw1DtJFW3GCfPkYhXbnhviQ\nIaCjwMdm/3C22cN2S/J9ZMNxK7rbPnSyBJNtq5IkwXXn6nTW4yLI0rBHUB0gp+iPxdV62XfoCLt7\nT+JuLmIPG5ignWNlk8nrqD6XXA/q7Q2ca6UjqBECVirUIWFsdSvkWpkstNNWnNAOTm8Rrbvsp240\nWByGPDLNkvnLL2V+4DCs/Ra0nAGchibbUaJEM27SmVVEuRlslvGPCnw42wNCilDqgGLhOIYLa3S0\nWDtsQyehzVGmQJHWVUXtAmaTjwPySeC+qC/11UynXJkIZBuwIvGoIH3QfWiKUmEKgPwfAzi5X59o\nzql88vV1ti7RxiYD3yzwOFrK7UZ7JOTRr/xlNPG5AQudwFX1ibY0KuRXgcrBWHcbE7RXQnMf43TG\n6GSIfoZMfoS2zgmm1nTr7NIj5m83VfkW5O2grq976pWJBdbZBrINmH/8h2ji+gXwXciPo3MbuLCE\ne5NDWv2RXtOGyFYdUoLpFP9Vi6TkW0k4tFMv///2zj9Gruq645/jnfXusl4vWVsYr3/EDkkUk0Cw\n1IZQQlilbWLSFNogJRAlIT+UP5KWREJJwLQqrqpUDlJDpLbKHwn5QdrQIlAoERJ1LNgokcAOrTdA\ngBAiUCA2u7VdzHpZ7J31yR/33n133r6Zndl9783+OB9pNG/evHn3zp37vnPeueeeOzCI88kGoY1z\nI1Rxvt1G04Q9elw43e30eWLtKia7zuIo6zhNF6Ocwzh9HGUdx1jPaT9F9xzG6Fs9zviFx3j1wrM4\nsnm7E13/JSwJTRO0OfTLBsiMYrk65R/twuUY+AOcOJ3A5TbwyVxmxOuOqH9skuRC6XDvpyciNEPV\nfyYk+j7eKTPnyXQ1bIqyiHXhLNrg3ghZv7pJch50A2/x278m+eyV1KSArHY5l8HLXa+biTgI+Q+C\n6B5lHSfpY5QNjNPHq/QwTcW5E3B3ArdxU+uNsATJbYBsY5Oac8QGyIylwkd8P61nSRwDfkIirjGx\nZXh+5FKIk7h0+1v/LMFtkDQ8HX0Q50NoSC+1A2MdOOEd9M9b/TEdwBHcn0io3weZiZ091Q/VjlVM\n+znBfdPjM0Ws7Wiz2bUSWKAbQUQ6cB7yF1X1z1v9vImtkR+3SK2fNfgxp6PXVZw1eyL12TFcbxyS\nZEpsELduZvNYcXdGNasuQCLq1WhfOiFNB841sgE3oNZFYvX6+neNQtf0Geh1lmnTlpaRD024mObg\nC7jUsfNKamliayyMq/0qCVtxYhNWS5jrNj/4YodSiVtCj+ynNhLhZ20UppDLIHyvw7jM4qdIctuu\n88eGWNlw7Gu4wbUg0peawLaNBUQjiMhm4P3AV4Ab5nMOE1ujlusliReNk7CAG2XfgptJBU5EwAnR\nb0ms2ka9KtwtXxWJbBw6FbinDaJ0nnNbdPaTfWHGq+KG73wYeAEXpbAV9yfRGx0XaGWGmVEMCwv9\nug34ErXrkbZEM8vifBv4M2BMVS/w+waA/wRej1+lQVVf9u/tBj6F646fV9V9862cUQL/ILWj6mli\nK/UkicCGW+p4Sms19ZwmWIcx66hNOXhXAaL0J5Gw729w/nS+gnjiQoUkV0IcYxva5xXgKX98Ed/B\nWDjz9NmKyAdw+ndIRIbmW/yc0QgichnuMrsjEttbgaOqequI3Ai8TlVvEpHzgR8Af4hbf2w/8GZV\nPZM6p0UjlM2/SuJjDKKSfk3Ge2kL95st/G4fSq0Jtg53W501FnRHAf3hej85YoSkHuHPIfhcH0hF\nPcRxYUFcY2GF5M+hna6NFURu0QizF/n2DPtH4O9ryhORfwQ+hrsKwlzCe1Rbm7/X7Oq624AfRWL7\nNHC5qo6KyLnAsF9ZdzdwRlW/6o97ANijqo+kzmdiWwZh2ZguklSBWTOyohlJzQTjLxmC2B6mNh6W\n6HVojzGSQbngc+1IvQ40so6N3ClebGcdXbc8Ebkc+GKZ0QgbVHXUb4/ixmDBBcPEwvoizsI1yiLk\nVX2N5NcNq76mb++bnE66ZPlndS6E9PdOJ5UBJ6ixSyRYtlFyGKqYi8CA5lW7hgUPkKmqun+N+odk\n7dyzZ8/M9tDQEENDQwutysoguAOy8kjHPtfwyy4nS3U+7Fd4c4aRErsLggUbJi30koRtBcvWKI3h\n4WGGh4fbXY1MVPUnuCjxllmIG2FIVV8SkY3AQ96NcJOv0F5/3APALap6IHU+cyM0y91eKE6SRAGE\nXKuxL7XVlH7LnfMigU3/MQX/a5gVNkhNPOzMBIUQxtYBfNnat13k50Y43eTRqxfVDLL7gOuAr/rn\ne6P9PxCRr+HcB28CDi60kiuO/5EkUXUgTnzyabvwWyKeVBHasR8XNRkWcxwjyc+w19p3edLetF/N\nhH7dCVwOrBeRF4C/A/YCd4nIp/GhXwCq+qSI3IWbZVEFPmcmbJMc8H+k8Yi3z23Ku60Ja9gQGR2j\nqbYJFm24rtI9PB7w2sfstcSMZUx7035ZIpp2cyBaGiX4DQHeaO1Tl3piu0myxTUQojLeQJJrYQfL\nf6BwiZOfG+GlJo8+d1G5EYy8CLOn0uFFB6LfegJ4jwkC4Aa74nZ6fcby4XP16jiRDLhBx17gE9bG\ny5v2WrYmtu3m7cor012Md7jcFps46vb/NiUiD3qReQonKGGwLPyCWe6oeCAojLD34hKleAv62Y2b\nAbea62EG6WOcd3Mg42Rt5hJJfNjpxDT1XAbhvXQbHY/O0U9yN/Gg2J/asmaR+2yN4lnbcWr2hOtw\n0T/ora5TuNSEgVZ+uXQ8qV+Su9oPZ/MyAG/kBXa2Vu3y2OX/eELOgniCQtbstzRpa3cMuBiX52EN\n+IUQjGWP+WyNxcITPgri4kX627zLxxiHP52JRgdHVJk9kGYsGfLz2T7Z5NHnm8/WKIAfeoEN62st\nMqbOnrvP1+SeDaRWc2i0bLmxUjCfrdFOTuCsxcPAFYvE+gvRBg2SPY9PQE8XVCpeVCNhDcvfTE3D\n2slF8p2MRcBkW0s3sV2p7PK+4EESq/BqaU8e2UCIkQ2DV1XoDCFa6eVuOoWp6eYWeDQMhw2QGXnw\nXUnm84eZUGEgaQKX6Dr0tRf88wRuhdvA/S0I7YXR5IEwUSDMzILmRfs8cbO44uXAO4Bn6n/+lR5X\ndrXqLFvDaA5zIxh5Mo0T3FO4XzdYfiGi4QTONxvnlP2vDGFbn5FbICz/slDfboiNDb0vHuhqQmSh\nVmQ7I39tbOmaC8GoxSxbIw9CQP4lXpBCHoBg7YZ8tsG/GX75SGjjwajOuGeELGPxYo3xoNST8xC1\nEP8bmOMck2tc3Tozsp1VKkl9e/qB35jIGlmYZWvkwc7UKgPTJFZtyG2bkfS63mh/GMmfEd1wrgng\naGtidrxTGAiTB+LZckE4Dyl8XGbHzaZyx6aFdkZkQ2pE681GQ8yyNYpkeGFW3ozovtz8eZ4Xb4X6\n1z0VmHwNKlXoDL7dYMn+jcBnUyvsZlwTPSeT8ifXiBPac0h8xSEdYtfszxqGwyxbIw9CjoX0cuBz\nUJ3jz34y+HY7E0EcmJpbeDuBgV73+b5eH1UwjfMVX4BbaHLC1znM4BoEHvXb3cAXU3kQ/LphPdfi\nBPk4tRZy1tpmhjGDhX4Z8+Fr/rb7OZxoxSFc4IRtjoiAeMCpHpXKbEEe9ZbrhgazAKeAUT/w1Rfq\ns93Xc4c/KO1WAJcBudHMsHgNscGMfd8xf61RD7NsjVa5OxLJAZLQqbAabtaijj66ILgFJuewAtMC\nG6zZILTxdnxoVneecUHslCTEq9fXOwzigVuNop/ElTARfae0BR4s5ZhWVv41ViDL0GcrIruAr+Mu\nq2+F1XaNHLjai91FJMtxg4utzfJXXig14hsmCXR24ZKwvEbNhIHjnXNbu40IftpNWVbvIC50bB1O\naN9AslJCWOdre5OC+RnvYviGCazRLPO3bPPQtFXzLr1+pTqAfwF2AecD14rIjsafag+LYVG5eddh\nBPiKuiVc9qoLxzqOew6r6V4SxbMGCzhEBXSTiPB64f7V0tCtcLyz9v3OSvLYpDrrkcn96gT3HNxz\nsGy90A7/vIXv/00tTGiXdL9YZnXIl2qTj1ry0rTcxRZ4B/Csqj6vqlPAfwBXFVDOglkMnanlOnRE\nj8BOcZmwjpGsXTYWHRfy2T6jM4/JYzB5AqYmnGvhZ2fcqSqV2gkDlYob4Brod6FXa3uhp9vtH5jS\npgbLatir8FGFC6C6FaqDzEQSDD/c2qmKYkn2i2Vah3yZavIxi1w0rQg3wiaSCaEAL+Kyhxp5cFeG\nuB3SJM42+ERDVEI/LvxrvcwkeJmK/LXBN7tqVW0ca9ju2YqzRE9Bz8Ou7J48vsdGTTpfmJHWvyeP\nMxtGHebts81F04oQW3OitYMguFn9KeQx8DPB4tlh8UBYsGhbiak1jKXDvEO/crkgck8eLiLvBPao\n6i7/ejdwJnYou0S+hmEYzZFP8vD5ldeMpjVVhwLEtgL8CvhjXJbUg8C1qvpUrgUZhmGUQF6alrsb\nQVWrIvLXwH/jvIe3m9AahrFUyUvT2rIGmWEYxkqjiNCvhojILhF5WkR+LSI3llju8yLymIgcEpGD\nft+AiPxYRJ4RkX0icnbOZX5bREZF5PFoX90yRWS3b5enReS9Bddjj4i86NvjkIhcUWQ9RGSLiDwk\nIr8UkSdE5PN+f6nt0aAepbWHiHSLyAERGfF12OP3l90W9epRat/w5+3wZf3Ivy79OikcVS3tgTPB\nnwW24SYbjQA7Sir7OWAgte9W4Mt++0Zgb85lXgbsBB6fq0xcsPSIb5dtvp1WFViPW4AbMo4tpB7A\nucBFfnsNzge2o+z2aFCPstvjLP9cAR7BhRK1o29k1aPUtvDnvgH4d+C+dl0nRT/KtmzbPeEhPaJ5\nJfA9v/094C/yLExVfwr8f5NlXgXcqapTqvo8rhO9o8B6wOz2KKweqvqSqo747ZPAU7j4xVLbo0E9\noNz2eNVvrsYJh9KevpFVDyixLURkM/B+4FtRuaW3RdGULbZZwcGb6hybNwrsF5FHReQzft8GVR31\n26PAhhLqUa/MQVx7BMpom+tF5Bcicnt0m1Z4PURkG87SPkAb2yOqxyN+V2ntISKrRGQE9533qepB\n2tAWdeoB5faN24AvAWeifYvpOsmFssW2naNxl6rqTuAK4K9E5LL4TXX3KKXWr4kyi6zPN3BJDy8C\njgD/VEY9RGQNcA/wBVUdrymkxPbw9bjb1+MkJbeHqp5R1YuAzcDFIvK21PultEVGPd5KiW0hIh8A\nxlT1ENnWdLuvk9woW2x/B2yJXm+h9l+qMFT1iH/+P+CHuFuPURE5F0BENpKsS1sk9cpMt81mv68Q\nVHVMPbjbt3ArVlg9RKQTJ7TfV9V7/e7S2yOqx7+FerSjPXy5J4CHgPfRxr4R1WNXyW3xR8CVIvIc\ncCfwHhH5PovkOsmTssX2UeBNIrJNRFYDHwbuK7pQETlLRPr8di/wXuBxX/Z1/rDrgHuzz5ArhJw1\nqAAAARlJREFU9cq8D7hGRFaLyHZcGu2DGZ/PBd+BA3+Ja4/C6iEiAtwOPKmqX4/eKrU96tWjzPYQ\nkfXh1lxEeoA/xfmOy26LzHoEkfMU2haqerOqblHV7cA1wIOq+jEWyXWSK2WPyOFu43+Fc2zvLqnM\n7bgRzBHgiVAuLsnffuAZYB9wds7l3ombcXIa56v+ZKMygZt9uzwNvK/AenwKuAN4DPgFriNvKLIe\nwLtwPrkR4JB/7Cq7PerU44oy2wO3MND/+rIeB/52rv5YUFvUq0epfSM69+Uk0QilXydFP2xSg2EY\nRgmUPqnBMAxjJWJiaxiGUQImtoZhGCVgYmsYhlECJraGYRglYGJrGIZRAia2hmEYJWBiaxiGUQK/\nB0IMNGx6D1QtAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sal_m = np.ma.masked_values(sal,0)\n", "plt.pcolormesh(sal_m[0,0,:,:])\n", "plt.colorbar()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Fh/N3WZiXiw3NItunVGemtifIkdjzGRXCd4GPKqW+ISJPu+QqIoeUUr1J/S6w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\nVoK1S3vefmAj8DvoTNE9RTj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bIc5yLGpCCzqpkR++DZHrobvdfYjGzRfXpuAe15JH62it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\nuDFsJC0EMwAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sal_t = np.ma.masked_array(sal,mask=np_mask)\n", "plt.pcolormesh(sal_t[0,0,:,:])\n", "plt.colorbar()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "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": "3.4.4" } }, "nbformat": 4, "nbformat_minor": 0 }