{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Working Toward a Daily Updated Thalweg Salinity Contours Video" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from importlib import reload\n", "\n", "import matplotlib.pyplot as plt\n", "import netCDF4 as nc\n", "import numpy as np\n", "\n", "from salishsea_tools import nc_tools\n", "from salishsea_tools.nowcast import figures\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "title_font = {\n", " 'fontname': 'Bitstream Vera Sans', 'size': '15', 'color': 'black',\n", " 'weight': 'medium'\n", "}\n", "axis_font = {'fontname': 'Bitstream Vera Sans', 'size': '13'}" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "grid_T_d = nc.Dataset('../../SalishSea/nowcast/24oct15/SalishSea_1d_20151024_20151024_grid_T.nc')" ] }, { "cell_type": "code", "execution_count": 89, "metadata": { "collapsed": true }, "outputs": [], "source": [ "colours = {\n", " 'figure': {\n", " 'facecolor': '#2B3E50', # salishsea site Superhero theme background\n", " },\n", " 'cbar': {\n", " 'label': 'white',\n", " 'tick labels': 'white',\n", " },\n", "}" ] }, { "cell_type": "code", "execution_count": 94, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# %load -n figures.thalweg_salinity\n", "def thalweg_salinity(\n", " grid_T_d,\n", " thalweg_pts_file='../../../bathymetry/thalweg_working.txt',\n", " salinity_levels = [26, 27, 28, 29, 30, 30.2, 30.4, 30.6, 30.8, 31, 32, 33, 34],\n", " cmap='hsv',\n", " colours=colours,\n", " figsize=(20, 8),\n", "):\n", " thalweg_pts = np.loadtxt(thalweg_pts_file, delimiter=' ', dtype=int)\n", " x, z = np.meshgrid(\n", " np.arange(thalweg_pts.shape[0]), -grid_T_d.variables['deptht'][:])\n", " salinity = grid_T_d.variables['vosaline']\n", " masked_salinity = np.ma.masked_values(\n", " salinity[:][0, :, thalweg_pts[:, 0], thalweg_pts[:, 1]], 0)\n", " fig, ax = plt.subplots(1, 1, figsize=figsize)\n", " fig.set_facecolor(colours['figure']['facecolor'])\n", " mesh = ax.contourf(\n", " x, z, masked_salinity.transpose(), salinity_levels, cmap=cmap, extend='both')\n", " cbar = fig.colorbar(mesh, ax=ax)\n", " cbar.set_ticks(salinity_levels)\n", " cbar.set_label(\n", " 'Practical Salinity [psu]', color=colours['cbar']['label'], **axis_font)\n", " cbar.ax.axes.tick_params(labelcolor=colours['cbar']['tick labels'])\n", "\n", " timestamp = nc_tools.timestamp(grid_T_d, 0)\n", " ax.set_title(\n", " 'Salinity field along thalweg: ' +\n", " timestamp.format('DD-MMM-YYYY'),\n", " **title_font)\n", " ax.set_ylabel('Depth [m]', **axis_font)\n", " ax.set_xlabel('Position along Thalweg', **axis_font)\n", "# axis_colors(ax, 'white')\n", " figures.axis_colors(ax, 'white')\n", " ax.set_axis_bgcolor('burlywood')\n", " ########################\n", " #add_bathy(x, thalweg_pts, ax)\n", " ########################\n", " return fig, cbar" ] }, { "cell_type": "code", "execution_count": 95, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/doug/warehouse/conda_envs/analysis/lib/python3.5/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", " if self._edgecolors == str('face'):\n" ] }, { "data": { "image/png": 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A+NxDWXlhaqWwUNAhc7DhqiHG2/t3IgslWIYA1bJFuItdKHD6agyGGEQiOXyY\nYc1k3Nxgoy4Mj6FhSYBhanihZA8hhgX7FhNkqJ98iQ0yAPlPaqW82FAPXsg5WOuiyh4ueu35AtIe\nnh9AusovW7HVa6z9HCjDO3t+z9kjpw0xzKEv+NAON9RvW3iO6oohhnYVhpKrVGNwTAwikZSDf0q5\nP8CK4Yg1x3DQN96GMUIhhbUrL/Rtr/549I2PYe2Ru02kfZJlKLAwtq41TnCFvh03FwMM23CGCyFT\nHoOUF8WO8txJ+Xdq7rGl3l7Ox2Jvr6u+sWTIyek7XzG3+kL9vEjfttrLEw3cZ4djjtkb5VgY6gEG\nAJSBm0uMjcEQg8gEUgUZ6oOIGgsztGdOUWesLTrttWJpn84MH47O3GBGDBkHtjI0a4k53xzZosTe\nlhdJzsSc0nBzn3NXvQhy1ccNGP87teS5EaoWkJMrv45EZldgkNUoZySJRajg/YNRFnNw16lnKmGI\nQWQiQ7OYCIUKhkIIofWEjqVvW1lmVJGjYkPOAMDYcaXen7HHIVc1hoX7tbTUVa5ZT0zBMMN0ln7L\nak7YwQtA1ybH68/3FJGETP3iRFlloV5toV2RKjU7nQHOXuirwlByhWoMhhhEElKvqhCqthCzvTLI\nkCqg0Fs9Ymh6Vn3lhJYM1mTtIMOSAEPM1LUOMuWqMxKqKHDGYMORLtwcqa1ERCTAUAWGvq691gw2\nCIDxKgwlZ6/GYIhBJANLAgg5qitEd4Mx1D9R3zJ7ZEqAYevHZGdzpIupuJDygtVQdxdj2un5HTCv\npF1MNwsxYQkv6ImIyOnFaf2r/F1oQHZzwg1+OSTIWBWGkrNXYzDEIHJ1ll7Eq1ctGKtgsFW3En2M\nPXahD1D1x2DtAT6tNHCoKV1PTJnZxNAxLAkzhJgTJIjZhgEFERE5DeUXKWLPBU0ZbN1QuCEWgwwN\nYqswlJy5GsPd1g0gIuuQZfwMddpVHPo+EKUep0J733LuX4gls6dYWoVhZ1UcYhkKSeKxVPVDRERE\nDkjK2eYSRfy4iK5H9qOHiCoMJWU1xrOnjsjcMutjiEHkQmQPMmzFnPBC7g899YBB+bvQMin270AY\nThARETkxQ2GFJV/8uDhlFcZ4+Jm03WCUxQkU4n5ejkwtsw2GGEQuJmS15WGG6H3oS8gNhQ5iA4kE\nmF95YWmAYeiY2vsWCjDE0PcNgw3DC2MBhFAFhSVVFQw8iIiIJCTllynmigPDDDOYWoWh5KzVGAwx\niEiDUDh/2KbXAAAgAElEQVRh8RSvhrqWaP84In0fxkInCPejzAs07IR6sKAvZBBaziCDiIjIzlkz\nXGCQIZq5VRhKxqoxvL298NPSL/HrqvnYumYhhvV/R+P+93u+jbN7NqO8v/DxWzRrhG3fL8Jf6xdj\nYO8uZrXRVAwxiFyUobBC331CFRiydVHRF2pYGnZIFQiYUo1hKmPb28M3KSLoG7zT0v0QERGRTFgp\nYXfMrcJQMlaNUVBQiIGfTEL3QaPQfdCnaNGsEerXrQ0AiAgLwUtNGuJWarrgtu7u7pjw8WBEjZ2G\nTv1G4o12L6Nm9SpmtdMUTh9ixMD4lHhi1iFyRoYCCH2hhan7UZEiPDA3vEjU+tee6WujI7RdjdTB\nAwf8JCIisiJrBBkMTIyytApDyVg1xoOHBQAAL09PeHp6QqFQAADGfDQQ85d9r3e/9evWRvLN27iV\nko6i4mL8vfsg2rZoZlFbxXCZKVbVQ4p2EA4ttJdxKj1yJVKMk6Et8wPL9qnBlgGGvqljlW2qBcvm\nQndADBOIiJxfPJZKNvU1EZmu65H9yLKgCkNJWY2x69QRJLbqoHO/m5sbflk5D1UrR2DDlu04fykB\nbVs0Q2paBi4nXdO73/DQYKSkZ6pup6Znon692ha1VQynr8QQIrbqghUa5CrsetYSS7qPSFG9oD11\nrFxcbJowSzBAISIie+D0n0fWqpJgNYagkpJiLJGgCkNpMMriGArx8F6ezn0KhQLdB41Cu+6DUL9e\nHdSuWQ2D3+uGxWt+Vq3j5uYmuJ0tuEwlBhEJs2qAkQjdagZnZcpjdbDwwh5O2vjtoGtRvuec4TU3\n5+/HGR43YPixO8tjdFTqf2NC4xnx9SGyPkVJCRTwQnW8Z9F+9uI69uIGAMATd5GfnQafsv6C6+bf\nvYdjp86hbYtmqBwRjs3ffQ0AqBAWgk0rvkLvqLHIyrmjWj8tIwsRYSGq2xHhIUhNy9TZr9QYYoig\nrMZg9xIi04SslrhLiSlMCAaUQY4kbY2DdbqU6Ovi4kLUT7SlOsEWusjS3relIY4pbRXTHmegvEgy\ndCGlXE+btZ8PW4R4jh7iiHnOxKzjqI/fnkk1ADM5AWPVEAko7T6r/B1qt8mutUFVtEFVAMBOXMNt\nv0CN+wMD/FFcXIy8/Hvw8fbGS00aYvX6LWjdZYBqnR0/L0PPwZ8hNy9fY9sL/yWgepVKqBQRhrSM\nbLRv2xJjp8+X/TExxCAiWdk0yJCDUIWF+ge72G2kOjYBEL7I0/ftofYFs9h9S0Xf/sSGJXKEN9Zm\nLKAw5Tk39fkw9VtlXtSZzxp/O476N2BLfE+TpBhoOLywkCDMHD8SHu7ucHN3x47dB3HgaKzGOurd\nRsJCgjB1zDAMGzcTxcUlmLlwJZbPnQwPd3ds2b4LSdduyN5mt2dadbZNRxYrOL9vK87odt2xCKsx\niMyjEWTIfSFuRhWGOlGhi/Zj0P7wrvtoHUMVE+Z0I1HuR32/vsvM2BE5M7kv7IxdBGmHSfZOO9Qy\nJeSyBXu/cLfVc2fvz4u1Sfk68LkVZs//nxCkb1r2ROivxFAfl0y7EkObJUGGBVWsimeBZ1t3seDg\n9qm4qBC3Du/EHQyXbJ8t8DNuN6yFsgEhxle2Y6zEMFEMGGQQSU79Yt7SgMPCAEN9ucUVJNYa6+J+\nFIMM0mBKyGDpvqTaxpYcraTeXscosPXz5gxVSpaw9fNPZBFrdcclp8AQwwwMMogsZKhbhKOM9WBp\n1w5zAw7t41qjiwlDEqfDix3HZ09Bhj2+n7TbZC/PlVzkfg0cfVwWchDa09WLnbXkWRnaQnaNIQYR\nWYXO2BjGLuKFLs6NBRy2nOVDzLgYgOmBg9A3Ew42mwkRycOWF+r2GFwY4swX4Y72WpANWOvLCOW5\nkHZ3E1O7mXDKVTKCIYaZWI1BZAX6Lta1l9tL1YZ6kKGvLFJsABEn8LuhMktlP1flSYpUJyz6+s8S\nkd2xRqjh6BfM9lTBIgVHfz3ICpSf49b6PNc3XgaRhBhiWIBBBpFp7GmmEn3jYTg8ub5tYZcSIofD\nC1xh5o6dYU8BCF9bsoi5XVHNDSiMVasSmYghBhE5PhO7V4gNMIyGLo4yfgcREQkyNQwQO0UyERHJ\nhyGGhViNQUQa7OHbBvXSUVZPEBHJTkwYIlXQwSoMInJ1DDGIyKrsqUuJbLSDDLmmDTNnvww2iIhs\nQih8UAYbhgYeVXZjYXhBkhCqXuVAmuRgGGJIIObRv6zIMA2rWOQRo3Wbz7Emq46FYcpJgZjBO83d\nt5KpFRoc1JOISFbawYS+oIIBBtkdU8fVsIdKVXIaDDHIKrQvrMm1CVVjKMMFqas0rBJamDtAljWP\nrx1ICAUU6sEGAwwiItJiT4ObkozEThsv9X6JRGKIISFHqyxQDxbawbxv8LX3ob3c2D70bU+mMRQS\n2ev7Uj3IUA8a1MMM7QDCobuhGOr6ITSdqth9yNVVRQi7ohARETkOU7+Q4PSo5CAYYkjMXi8YtWlf\n9ApdBOsLNfRdMIvZh7E2OcJzZ08cvcLFUJWE0H2mVmvYdBpVMd82SNkHVXumFGV1BoMHIiIi0sfc\nqgpzKYMSVmSQBdxt3QBn5OgXlvrEQP7H5qzPnRRiBH5IfrIFIeYGGMa2EzoZEftNDLuQEBGRERyf\ng1QS1X6IrIghhkzs9QLTES5+7b19tsDnRFPIauPhgk2rMOQmNgCR6qRCfT8MOoiIiJwDwwdyUOxO\nIiN7m7WEF8KOh6+ZYXINBirrsRxhGjMGFURERM5N6gCDs5WQFTHEsAIxYz0YulhVDrppL2GINbja\n4xUiZYDh7M+n9mwnUldhiNqfXDOUmPMhz29WiIiIXJsjfyHBAUbJCHYnsRJjs0eI2daSi1pH/Ebf\nEdtsCkNde5z9scvJpt1I9IUHln4YS/VhLtRv1Vjgkaj1LxEREZEcEsAAg0RhiOFgeHHrfKw1Tomz\nv3fsdgwM9Q9jU7uSSPlBnqj1u3qgwYCCiIiIpGbs/CJBz+9ERjDEsCL1igpLZpgwdRtnv3gVy95n\n9ZCi4kbsMZyVXQQZ6uGAqR/IhtYXuk87ILFkvA1TKzSIiIiIhJgyYwnDCzIDQwwrk+oi0p4vxqVk\n7mO056lI2Y3E8YmZHUU0cz+89VV4xAksk4qhExJH7ntLRETk6oydj4gNJcz5UoRBBpmIA3s6ODED\ngpLw8yA02KX6enIMhMnXw7loDyiqQXugT2MDdCZorSf2A13O0b3FnrAwwCAicjnR0bMFl0dGjte4\nX3mbHBDDBbJTdh1iDOv/Drp2fBXZd3IBAAtXrsfBo7EAgEF9uqLLG+1QXFyCOd+swuETZ2zZVLvk\nKhfM5kxlqy/U0HfbmWf2INNI2mUlQetf7eVC64sJLCypxrgfZTy8uB8F+C4zY+dEROQM4rEUQI6t\nm0HWonVeoPdLHHZFJSux6xBDoVDg+1/+wPebtmksr1m9Ctq3bYlO/UYiPCwYq+ZNRcf3hkOhUNio\npSQnsdODyjm+iKFAQ872ycHZp1u1NoPVGIZY0o3ElvOqa1eYsAqDiIjI5Zh0/iPXNPTksux+TAw3\ngWWvtGyG7TEHUFRcjFsp6Ui+eRv169a2etvIeuxpDAmh8TaMjb1hLwGGkr21x6Vw+jAiIiIiIrPZ\nfYjxbteO2Lx6PqaNHQ5/v7IAgLDQYKSmZ6rWSU3PRHhosK2aSCTIXgcWJenZxawoUmAZKBEREcnB\nlBlLiIyweXeSlfMmIyQ4SGf5NyvXY+Pv0Vi6bhMAYMQH72LMsAH44n+LhXfEniROzxHCAHPG57AV\nditxQsa6mmiPkVHXwuOxKwkREZH90ff5bEqIwKpRl+Ht7YW1C2fA28sLHh4e2LnvMJas3YiPBvZG\n2xZNUaJQICv7DibMXoSMrGyd7Vs0a4TPPxoIDw93bP5zF77bsFX2Nts8xBg8eqqo9Tb/tRPfzp4A\nAEhLz0JEeKjqvgphIUjNyBTcrsLkx7/n7wXu7jO7qUSiOULgQlaiPGGQsi+o0ImF9uwm2oQG+VRf\nZmmgQURERM7PDqopWlcD2lSzdSucR0FBIQZ+MgkPHhbAw8Md3y+ahQNHY/Hdhq349rsNAIB3u76B\nof17Yvr85Rrburu7Y8LHgzFo9GSkpWfh5+VzsffwcSRduyFrm+26O0moWoVGu5dfRHzSNQDAnkPH\n0OGVlvD09ETliHBUr1IJ5+LiBfeROvXxDwMMIk0MW2Sm/UHvSN9qmDOzCRERkQsonZ3FRRgJLUzu\nUitBt5J9ycDUg49/yHIPHhYAALw8PeHp6QmFQoF79x+o7i/rWwYlJbpdH+rXrY3km7dxKyUdRcXF\n+Hv3QbRt0Uz29tq8EsOQUVF98XStGlAoFLhxOw3T5pX+DyPp2g1E7z2Ebeu+QVFxMaZ/vdzInohI\nDEfqDuNw9I3Mrb5caB1zKjnMmcEkDqzGICIiItEsGhPMlBlL1EMPznIiCzc3N/yych6qVo7Ahi3b\ncf5S6TdvIwf1wVuvt0be3XsY8PEkne3CQ4ORojVWZf168k+4Ydchxv/N+kbvfSt/3IyVP262YmuI\nXAfDDBsw51sJ5QmA3BUeyqoMhhxERESkxezp5oUYOx+yg+4szkihUKD7oFHwK1cWC2eMw5NPVEXi\n1ev4ZtV6fLNqPT54tyv6dH0DS9Zu1NnOFuw6xCAi29LubtJOazlDDl3KbyVM+jBPFPj9SYHl5lRj\nmFphIfbkwJRBPdXX9V1mQmOIiIjsk0t1KRFBO8gQdT7EQMKoEpTBGcy3aB/HsRcnsBcAkAgPuOXn\noGxAiOC6+Xfv4dipc2jZrBESr15XLf9r134s+XKiToiRlpGFiLDH+4oID0FqmvBYlVKy6zExiMh6\nxIyPoT1lLKeQfUy7pNJoiaWlfULFbKus0JBqfIu4Rz+mtFs77OCMJkRERE5N/RzIaaahd2BN0QZD\nMQVDMQURqAZfv0CN+wMD/OHvVxYA4OPtjZeaNETStRuoWjlCtc4rLZsJDtZ54b8EVK9SCZUiwuDp\n6Yn2bVti7+Hj8j4gsBKDiCQgFGS4YpWGqA9qsQGAKetJ3T80Tu1fU6o47kex0oKIiMhZsXLCKYWF\nBGHm+JHwcHeHm7s7duw+iANHYzF/6hg8Ua0yFCUluJmSjmnzlqnWnzpmGIaNm4ni4hLMXLgSy+dO\nhoe7O7Zs3yX7zCQAQwwilxcD1wwcnJLYQENZoSFm8E8xVRxyTCNLREREDoeVF44nPikZPQd/prN8\n1OS5guunZ2Zj2LiZqtsHj8bi4NFY2donhN1JiEgW7GZSStIPc0NdUBK1/hWSAPua5pVdS4iIiJwe\ngw2SGisxiIhclfZUrFJMs6oMJgx1K1EPL9gFhYjIbiVF55i8TXT0bKPLIyPHq5Ypf9e3vvq62ttL\nxVA7SDxDYYWkM5iQy2MlBoCGGIWGGGXrZhA5HVevxtD5MLdWX1Kh49hTBYY2VmQQERERkUguXYmh\nHVw0xCiLp7AhItJm198+mDI+hhCpghmhIIMVGkRERESkhZUYWpRVGazMIFciZ8WEq1djmMLp+oyy\nwoKIiIgecbrzHLIZlwwxxIYUDDKISCr6PriVy036YNeufrDVlGdyH5chCBER2Zl4LLV1E4hcnkuF\nGOZUWDDIICK5qQcYIasl/qbCnsfCICIiIpfCagySgsuEGJaEEQwyiCzDLiXms/qHfZxE+5GqioLV\nGERERE5F8i9syOU4/cCeUgUQHPSTiKQm9gNc38CgBgcMTQTw5KPfxVRjaE+3qn2biIiISELa50Hq\n5zQmhRyrJGkOORCnDzGkpAxEGGYQkaXEfDhb/C2FepAhNWuOw3E/ijOVEBER2QE5KyhYnUFiMcQw\ng3p1BwMN0wlVx/B5dH4xANrZuhF2wJTqC+3bxqZpFT2VqzKAkCvgICIickIc1JPIPrjMmBhycbbx\nMpSPR+rHZWzqWk5rS2Qas2Y10Sa2miIBml1SpBo3wxQcG4OIiEgeHAScHAwrMSTgiN1MDAUGhoKM\nM5gva9jgiM8licdqDMsYqrTQDjUMjpXhqNithIiIiMjlMcSQkCNcgFsaQFirWoJddsgZSdHXU3SX\nEbG0BwC1ZDBPOcfgUFJWZDDMIFOYWsnD9xcREZHdYoghA3ucycSRu2qYEw4Ze7z29vq4ElOrMdSn\nZ2UVh4VM6T5CJJZQQGCLEEDKLkf28piIiGzp0XmD5F+gEFmIIYZMzKkkkCv8cOQAQ51QmGHuY3OE\nqhlnpgwyYgTuY1BhOlEVHoYCDFMqKOxl6lVl1xIxlRnqF6Tq67F7innEhAWWBgpiX09r0j4u3ztE\n5AyExrkSOC9gkEH2hCGGFYgJJ0wZUNPQvpwlsDBEysdoj1UzrkIowDC0nGzAnMDCGl1KlNQvKk0N\nJJTbqm+nHoxIdYHqLN/oWzs4cISBXNm1ichlxGMpamOorZthHY48dha5DIYYVmLoYtnUi3JXCCqs\nSd/zKSYskioAUb4/GKoYpgw4WK1hAilDBXvvZiIUPmhfDAtdHGuHIZa2wZz1jFUe2PJC2RECBVty\nlqCKiAzi9KpE9oMhhhWpX6iS/RPzOlkSZmjvX70ah0EGGSLFAKGimRNcWLMaQ5t2ZYUl+wF0u5+o\nLzN3//qCFEMBjC26MjC8MB+7nhCRvWGFBTkRhhhWxgDDOYkNHqSs4GDYQXYlDkBdWzfiEbm7g9jD\nxb3c1Rn28Bidib5xWYjsWFJ0jiT7iY6ebXCZ8vfIyPFG11VfFhk5XpL20WNJz88Bngdq/jLO1k0h\nMsjd1g0gchbGAir1+01Z19D9rhqKcdwME9ny25dEtR9rcsSL8PtRmj9i1perHSQfPr9EZA+EBvQk\nchAMMYjsVEOMEgwpXDW40BYDhhmGWLXLidgToUStf8lyUl8Q8wLbOsQGVURERKSDIQaRhOQIGJRh\nBkMNYQwyTBeyWsKQw9RvcsQGGbao3nBUUl0M86La+hhmEJG94mcw2TGOiUEkMfVQgWNWkC3ZdE53\nMSc/ygFAeaJkOUsGkuRFtO3ZegYaInIt7EpCDo4hBpGMrFUl4eqDfMaA066aw6KQQ6qBPMVUZNhq\nphNHZiyY8F3G8MLeMMggIiIShSEGERExLHA1DDDsE4MMIiKyMm9vL6xdOAPeXl7w8PDAzn2HsWTt\nRoyOeh+tmzdBYWEhrt9KxcQ5i5B/957O9i2aNcLnHw2Eh4c7Nv+5C99t2Cp7mzkmBpGT4IwlJIak\nA35aqxyV3U3IlXCcDCKyU1YdNJyspqCgEAM/mYTug0ah+6BP0aJZI9SvWxuHT5xGp/dHotsHo3D1\n+i0M6tNNZ1t3d3dM+HgwosZOQ6d+I/FGu5dRs3oV2dvMEIPICTHIICJycAwyiEhuHBuDHnnwsAAA\n4OXpCU9PTygUChw5cQYKhQIAcC7uMiLCQnS2q1+3NpJv3satlHQUFRfj790H0bZFM9nbyxCDyImo\nhxeuGmSQk0rU+iFyBQwyiEgKFnxusvrCNbi5ueHXVfOx77e1OHL8NM5fStC4v8sb7bD/6Emd7cJD\ng5GSnqm6nZqeifCwYNnbyxCDyMkxzCBDdE5OEgRXsz8MMshV2GOQwS4vREQO4zj2YimmYCmmIAXJ\nuJ+fo7OOQqFA90Gj0K77INSvVwdPPlFVdd+H73VHYWERtu86ILidLXBgTyInxgCD1Bn9NsURB/dU\nDzMcre1EYqkHBrYe+FO9LRyIlIhIVnchxQx8bR79AHewE1X9PPSumX/3Ho6dOoeWzRoh8ep1dGrf\nFi+/+Dw+GDVZcP20jCyNbiYR4SFITcsUXFdKrMQgIqfCcTFM57ClotrVGKzOIFegrIKQohrC1P2w\n+oKIyOkEBvjD368sAMDH2xsvNWmIpGs30KJZIwzo1RkjJsxGQUGh4LYX/ktA9SqVUCkiDJ6enmjf\ntiX2Hj4ue5tZiUHkAhpiFM5gvq2bQTYQshrI/EDinSYAqCWwPA5AXYmPZSpHrCYhsoQyWDClIkIo\njDC3qoLVGEREDi0sJAgzx4+Eh7s73NzdsWP3QRw4Gou/1i+Gl6cnVs6bAgA4c+E/zPh6BcJCgjB1\nzDAMGzcTxcUlmLlwJZbPnQwPd3ds2b4LSdduyN5mhhhERGSYssLBUcIBBhnkiqSokjAUSBjaP4MM\nIiKHFZ+UjJ6DP9NZ3rHPcMH10zOzMWzcTNXtg0djcfBorGztE8IQg4jIyTlsdxGpcNwMIvGUgYSp\nFR7Gggx7GteDiIgcGkMMIiJyPhwfg8h82oN3mrOdelChvQ8GGkS2E2frBhBZjiEGkYvguBhkFfYw\nLoYh7GpCZB3mDBbKQIOIiERgiEFEREREtsdAg4iIRLD5FKuvt2mO39YuxJndv6Ju7Zoa9w3q0xV/\nrV+Mbd8vQvMmDVXL69WpiS1rFuCv9YsxboTUw+4TkSuKAadnlQxLVR9LFPghIuM4nSsREelh8xAj\nPukaPp74JU6evaixvGb1KmjftiU69RuJqLHTMPHTIar7Jo2KwhdfLkbHPsNRrUpFtGjWyNrNJnJI\nDTHK1k2wCoYRJJpcwYKh/YoNNhiAkKu7H8Uwg4iIdNg8xLiSfBPXbtzSWf5Ky2bYHnMARcXFuJWS\njuSbt9GgXh2EBgehXFlfnL8UDwD4I3ov2rV8wdrNJiIiR2dqKGAscDC2jhRtYZBBrohhBtlAPJYi\nHktt3QzT8G+FXITdjokRFhqMsxcuq26npmciPDQYRUVFSE3PeLw8IxPhYcG2aCKRw7iyIxw12qfZ\nuhnkiJzxollocE9jA34m6vld3zrmMDXI4ACl5GpMnfaVzJIUnWOT40ZHzzZ5/cjI8ZIeX8r9CUmK\nzkHNyEBZj6E61v45GrdrVh6nf+VaQFL5OYJ3ZX6gO1X78R2P123a3sB+iWRilRBj5bzJCAkO0lm+\ncOWP2Hf4hLwHnxz5+Pe9CcA+ZzwjJyKyEmee3UP74+FJPcuJyLYYZhC5tBatgRZtbN0KsiWrhBiD\nR081eZu09CxEhIeqblcIC0FqeiZSM7JQIUxzeVp6lv4dTY02+dhE5PhiALSzdSMcSMjq0m9b7Iqc\n07U6Q/cNZw6UiMS4H8Ugg8gFHdpX+qM0dorNmkI2YvMxMdS5uT3+fc+hY+jwSkt4enqickQ4qlep\nhHNx8cjMykH+3XuoX7c2AOCt19sg5uBRG7WYiMiJ2fMFvDU4wuN3hDYSyUk5BoCyOkN9PAD1+zhW\nADk7md7f2l1JiOyBzcfEaPfyCxg/chACA/yxZM5ExCVcwdCx05F07Qai9x7CtnXfoKi4GNO/Xq7a\nZsbXyzFj/EiU8fbGgaMncejYKRs+AiJyFPqqMzibiRkSANSScf9xav9qV2Mo75OrSsPRsCKDqJR2\ngGFoPVZwEBE5LJuHGDEHjiLmgHAlxcofN2Plj5t1ll+8nISuAz6Ru2lE5ISMdTNhNxQD7OFb/zg9\ny1w90JA7yNA3XgiRPTIWYBhbR0zAoW97hiNOx+FmKCFyATYPMYiIrIHVFlZmSbCgHVToq7yIE7EO\nWU4ovFJfxkCDnI1QQKEMJ4yV7LPKg4hIdgwxiIgIwKPBPWfZuBFClRZi7iPpgwVO+Ur0mCnjDXD2\nFCIiWTHEICKnxyoMF8KuJaUs7V5iTtchU49pze5JDFjIFliVQUQkC4YYROS09IUXHPfCyTHIKGVu\nkGFJuGCsKsNW46qw+wvZinoFBwMNIiJJMMQgIiLrU+8aUhfsKiIXU4IMKQMG9ePaw4Cw6jhIKdmK\n1FNgMhQhIhfFEIOISAsrNcwgNOWqdlAhtFzothT0Tc3qihUaykDBUKAhR9Bgb+GFPhzTgxyVpTOs\nEBE5KHdbN4CIiOyQmAvQBBP2F6f2Yy3qx9P+19Ukav2rvtxRwga58bkgZ3I/yrzBSImIHAArMYjI\npXHQTwHOdiHnqsGFPs72+kqNlRnkTMTMlKJcRxVkzJG1SURElmIlBpGLaYhRtm4CEZH9Y2UGORN9\nlRaswCAiB8QQg4iIiEgfBhnkLLS7mDDAICIHxe4kROSSOHgnEYlm7nS1RPaI4QUROThWYhCRy+J4\nGBIzZaBPW+IYGWQO9cFRWZ1BRERkM6zEICKix0y9OHOU4EKIMsxwxWlXyTyJen5nlQYRETkob28v\nrF04A95eXvDw8MDOfYexZO1GvN6mOYb1fwc1qlVGryFjERefJLh9i2aN8PlHA+Hh4Y7Nf+7Cdxu2\nyt5mVmIQEZFp+C00kSZWZxCRrbB7EFmooKAQAz+ZhO6DRqH7oE/Rolkj1K9bG/FJ1/DxxC9x8uxF\nvdu6u7tjwseDETV2Gjr1G4k32r2MmtWryN5mhhhEROTa2L2EiIiIXNiDhwUAAC9PT3h6ekKhUOBK\n8k1cu3HL4Hb169ZG8s3buJWSjqLiYvy9+yDatmgme3vZnYSIiIiIiIjIRbm5ueGXlfNQtXIENmzZ\njvOXxPUXDg8NRkp6pup2anom6terLVczVViJQURE0nGUMTJYfUFyYJcSIqcQj6W2bgKRZAqxF/cw\nBfcwBcVIxv38HJ11FAoFug8ahXbdB6F+vTp48omqovatUCikbq4orMQgIiKKAwf4JGlwOlYiIpKI\nwgvI7GfpXto8+gHwx074+nnoXTP/7j0cO3UOLZs1QuLV60b3nJaRhYiwENXtiPAQpKZlGthCGgwx\niOzUlR3hotet0T7N6Hbqy8tjjs79ue3HmdA6cgbHd5S+D5rytS/FIIOIXFTSft3zAkcQHT1b9Xtk\n5HibtCEpuvRb7ZqRgQbvV7+tb12zaQ3uKfR6Jt18tKy8tIc+vmMOzyMcXGCAP4qLi5GXfw8+3t54\nqUlDrF6/RWMdNzfhbS/8l4DqVSqhUkQY0jKy0b5tS4ydPl/2NjPEICIiIiIiInJBYSFBmDl+JDzc\n3eHm7o4duw/iwNFYtHv5BYwfOQiBAf5YMmci4hKuYOjY6QgLCcLUMcMwbNxMFBeXYObClVg+dzI8\n3Owhk2AAACAASURBVN2xZfsuJF27IXubGWIQEZG0EgDUsnUjiGxIOTYGu5UQEZGdi09KRs/Bn+ks\njzlwFDEHjuosT8/MxrBxM1W3Dx6NxcGjsbK2URsH9iQiIlLigJ9EREREdo0hBhERGRSyuvSHiEyk\nb7YSzmJCRFLQGguDyFWwOwkREZE6ZTUGB/kkKRgKMtjdhIjsGL/AIHvFSgwiIiIiW2BFBhERkckY\nYhARERHZCoMMIiIikzDEICIiIrIlBhlERESiMcQgIiIV0f1frXHRlaD2b4KhFYmcAIMMIiIiURhi\nEBGR/bJ1eMEpV8maGGQQEREZxRCDiIhICAMMsgUGGURERAZxilUiInIM2lUZtYysp+9+InvH6VeJ\niIj0YiUGERE5B7nGzmBFBtkCKzKIiIgEMcQgIiL7IyaMUA8txK5P5EgYZBAREelgiEFERPZFzrDB\n3H2zGoNsxR6DjETYZ7uIJBCPpbZuAhEZwRCDiIgcm75gglOzEklLO7xgkEFERDbAEIOIiOyHXKED\nwwxyZLYOC1h5QUREdoQhBhER2QcGGET6WTtEEHs8hhtERGRlDDGIiATE2LoBJB+Oi0EkDiswiIjI\nDjHEICIiQSGrbd0CItIgR6AgFFSYehwGHUREZEWetm4AERGRSzJU2VHXaq0gV6Y9SOeTtmoIERGR\neKzEICIivViNIRNjXVPiRKxDrkmqqgeh/bD7CBEROQCGGEREpEOW8IJTnpZiOEG2Jle3FCIiIiuw\neXeS19s0x7D+76BGtcroNWQs4uKTAACVIsKw7ftFuJJ8EwBw5sJ/mPH1CgBAvTo1MWP8SPh4e+HA\nv7GYs4hfFRIRWZ0rlp/HwbyuHuYGF+Yej5ybuX97DBqIiMgJ2DzEiE+6ho8nfonJn0Xp3Jd8MwU9\nBo3WWT5pVBS++HIxzl+Kx5IvJ6JFs0Y4dOyUNZpLJKsrO8Ktup268jvmWLwPdbntx0m6P0BcG+U4\nrrM5rvU8Km83lfK5SwBQy8T1rcWUdglRBhIMF8ieKYMOBhdkRNJ+aT//bSU6ejYAIDJyvE2OnxSd\ng5qRgTrL9K0LQGd9i9sg0WuZ1OPRfno8XqY8R9A+h9C3TNJzCiItNu9OciX5Jq7duCV6/dDgIJQr\n64vzl+IBAH9E70W7li/I1TwiInqE42OYid1HyJrUx7VggEFERE7I5iGGIVUiwvHLqnlYs2A6GtUv\n/cqrQlgwUtMzVOukZmQiPCzYVk0kIicWY+sGOBNnHAvDWuEEQxASYum0qERERA7KKt1JVs6bjJDg\nIJ3lC1f+iH2HTwhuk5aRjVd7DEZu/l3UrV0T38wch07vjzT94JMjH/++NwHYx095IiKb0u5q4sgB\nh7ExKxhAkDWw8oKIXEiL1kCLNrZuhfPw9vbC2oUz4O3lBQ8PD+zcdxhL1m5EeX8/zJsyGhUrhONW\nShpGT5mLvPx7Otv37fEWur7xKhRQID7pGibOWYTCwiKNdcJCdLMAIQoFkJGVbXQ9q4QYg0dPNXmb\noqIi5OaXPvi4+CRcv5WC6lUqITU9CxXCQlXrVQgLQVp6lv4dTY02+dhERCQhRw4pxNA3RgYDDJIb\nQwsickGH9pX+KI2dYrOmOIWCgkIM/GQSHjwsgIeHO75fNAsHjsbitdYv4fCJM1iz4TcM7N0FH7zb\nDQtW/KCxbXhoMN7t+gbe7jcChYVF+GryaHR45WVsi96jsV7Mr6tEteVhQSGaRvYyup7NB/ZU5+b2\n+PfAAH/k5t1FSUkJqlSsgGqVK+LG7RTk5d9D/t17qF+3Ns7FxeOt19tg/ea/bNdoIiISZmhwT2Ww\nYekgm/aEA34SERGRA3rwsAAA4OXpCU9PTygUQJvmTTHg44kAgN+j92DNguk6IQYAeHp4wNfHByUl\nJShTxgdpGZm6+3/wEJ36f6xxvS/k11Vfi2qvzUOMdi+/gPEjByEwwB9L5kxEXMIVDB07HU0aPoPh\nA3qjqLgIJSUKTJu3TFW+MuPr5ZgxfiTKeHvjwNGTnJmEiEhCkg7gaawKwxmrNOSowOBUq0RERCQT\nNzc3/LJyHqpWjsCGLdtx/lI8QoIDkZl9BwCQmZWDkGDd2XTSMrKwbuM27PxlJR48LMDh46fw78mz\nOuv9vfsgbqemG23Hjj0HRbXX5iFGzIGjiDlwVGf5rv3/Ytf+fwW3uXg5CV0HfCJ304iIiIhILOW0\nrkREJA13WP7/1aS9pT8A8CAZ9/ODUDYgRGMVhUKB7oNGwa9cWSycMQ61alTT3Y9CobOovF85tGnR\nFK+/MwT5d+9i/tQx6PhqK/y1a7/GepPnLhHV1Gnzlolaz65nJyEiIqJHhCo8OO4GERERGVKzDfDq\nlNKfwGrw9dOtqFDKv3sPx06dQ4umz2lUX4QGB6mqMtS92KQhbt5OxZ3cPBQXl2DX/n/x3LNPy/Ag\nNNm8EoOIiIjMEKf1r5zdTbTDEnZtISIicgqBAf4oLi5GXv49+Hh746UmDbF6/RbsPXwcnSLb4rsN\nW9GpfVvsPnhMZ9tbKeloUO8p+Hh742FBAV5s3BDn4uINHu9UzC/CdygUaPRqT1FtZohBRETkKJRj\nY+irymC4QERERCYICwnCzPEj4eHuDjd3d+zYfRAHjsbizMXLmDflM3Tt+KpqilXl+lPHDMOwcTNx\n/lI8du47jF9WzUNRcTHiLifh1z/+MXi8D0dP0Tx+aDDe7/E2tv69W3SbGWIQERGRfgxMiIiInFZ8\nUjJ6Dv5MZ3luXj4GawUOAJCemY1h42aqbi9ZuxFL1m4Ufbzjpy/oLDt9/hLmfjEaP//2t6h9cEwM\nIiIyiaSzl5DpDI2DwTEyiIjMFo+ltm6CePejbN0CIsmkpWcJDyaqBysxiIiInImUVRIMRYiIiEhC\nzz3zlMbtsr5l8Hb7tki8el30PhhiEBGRaDpVGImP/uW0is7HWIDBLiUkhP9PICIiA77/dpbG7Xv3\nH+Di5URM+vJb0ftgiEFERORsLA0YWIFBREREMmjQtpvF++CYGERERERERERkdZUjwhERHmrSNgwx\niIiInJG51RSmbMeKDSIiIjLBjHEj0OjZpwEAHdq1xPaflmDHhmXo+Gor0ftgiEFEREREREREsmvZ\nrBEuXk4CAPTv2QmffvE/DP5sCga/J76bCcfEICIiclamjo3BygoiIiKSUZkyPnhYUIDy/n6oUqkC\ndh88BgAmdSlhiEFEREQMMIiIiEh2qemZaPrcM6hZvQpOni09+fArVxbFxcWi98EQg4iIyJnJPRUq\np1olIiIikZat24QV86agsLAIwz6fAQB4sXEDxMVfEb0PhhhERETOTr3KgoEDERER2cjfuw9iz6HS\nLiQPHhYAAGLPxuHU+Uui98EQg4iIyNWxKwkRERFZyYOHBWhQrw4qhIUgNT0TZy9eNml7hhhERAbE\nAGhn60YQSUm7+wcDDCIiIrKSqpUisGjWeFStFIHsO7kICiiP67dSMGLCbFy/mSJqH5xilYiIiCzD\nIIS0Jdq6AUREZI+mjBmGo6fOofmbffFqj8Fo8VZfHI09i6ljhoneB0MMIiKyHC9YHEuc1r9ERERE\nVvDMU09i3tJ1eFhQOh7Gg4cFmLfse9Sr86TofbA7CUnuyo5wAECN9mk6y5XLlL8r13U2Qo/d1ZTf\nMcfujpvbfpwVW2Kfjht4fo7vmIOmIp4j5T5q/mLfz2fS83NQM3acxm2lmrmly5PKm/c+VW7v0Bhg\nkAhJNx/9vVcep3HbmJqtnOBvxMkl7bfN57TcoqNnAwAiI8ebvY+k6BwAQM3IQIv3IRvfZUiKzlH9\nrcn9eho6fzC2vvq5hdhzDXJe12+lIDwkGDdup6qWhYcE48atVANbaWKIQURERERERESy+/3vPVg0\n6/+wbtPvuJmShioVK6Bv9zex+a9deO6Zp1Trnb7wn959MMQgIiIiIiIiItmN/WgAAGDa2OEayz//\naKDG7QZtu+ndB0MMIiIiIiIiIpKdoXBCLA7sSUREREREREQOgSEGEREREREREcli4qcfilrv/z4e\nLGo9hhhEREREREREJIu3X2+DsJAggz/hocHo+ForUfvjmBhERCSNRADip/gmZxMHoK6tG0FERET2\npkwZH8T8usroegWFhaL2xxCDiIikk/joX4YZRERERASgfe8oUespFOL2xxCDiIiIiIiIiGRxKyVd\n0v0xxCAiIiIiIiJyQd7eXli7cAa8vbzg4eGBnfsOY8najSjv74d5U0ajYoVw3EpJw+gpc5GXf09n\ne3+/spg6Zjhq1agGhUKBSV9+i7MXL8vaZoYYRERERERERC6ooKAQAz+ZhAcPC+Dh4Y7vF83CgaOx\neK31Szh84gzWbPgNA3t3wQfvdsOCFT/obD9uxCAcOBqLUZPnwsPDHb5lysjeZs5OQkREREREROSi\nHjwsAAB4eXrC09MTCgXQpnlTbNuxBwDwe/QevNKymc52fuXK4vkGdbF1ewwAoLi4BPl3das1pMZK\nDCIiIiIiIiIX5ebmhl9WzkPVyhHYsGU7zl+KR0hwIDKz7wAAMrNyEBIcqLNd5YrhyM7JxfRxH+Gp\nJ5/AxctJmPPNKlUoIsTH2xsPC/TfLwZDDCIiI2IAtLN1I4iIiIjItbgDqGXhPi7sLf0BgLvJuO8V\nhLIBIRqrKBQKdB80Cn7lymLhjHGoVaOa7n4Epg7x9PBA3To1MWvhSpy/lIDPPxqID/p0w+LvNuht\nzt6t3+GvXfvx6587cSn+ilkPid1JiIiIiIj+n707j4u62v84/mZABFxZBhFNk7KumpldtQxLyUqz\nuqa2a4umZVrqFTMszSUtzMwtu7lkm/5s0WxR03IN1FzS3HdyFxgGUFFIGOb3BzmJAzgswzDwej4e\nPJw53/M9389wrl56c77nCwDlUZN20mOjcr6C6sm3qv2KikvSzl/Qpm07Fd7yllyrL4IC/G2rMi4X\nbzIrwWTWrn2HJEk/r92gxg3DCixn4PDxqla1ir744B19NWOCHn3oPvn5Fm4fjXxXYiyZN92hAf66\nmKmuPQcV6qIAAAAAAMC1ataoJovFonNpF1TZ21utWzTTx/O+1Zr1m9W5Q4TmzF+kzh0jtCp2k925\n5uRUxScmqX7dUB09cUqt/32zDh05VuD1Nm3bqU3bdqp61Sp68L62erxzRw3p95yWr16nBYt/cejJ\nJvmGGLWMgRozcYY8PAoeYNiA3le9CAAAAAAAKFuMgf4aN2yAPA0GeRgMWrYqVjEbt2r7ngOaOGqI\nuj5wj+0Rq5f6j361n/pFjZMkvTNltsaPGKRKXl46fipBw6OnOXTds2nn9X/fLtX+Q0f02iu91Llj\nhDpGhOvQkeMa8/5HBd5qkm+IcTohST8sX33Vi/d84mGHigQAAAAAAGXHwbhjeqzPELv2s+fS1Cdy\nlF27yZxiCzAkaf/hI3rixaGFumZgQE117hChLp3aq2oVX33/02oNfnOCzCmpevqRh/T+qFfVqXu/\nfM/PN8R46OmXHSrg4ecGFqpgAABQTu2V1MjVRQAAgLJqytgo3Xnbrfp9x25NnT1Pq2M3KctisR2f\nOXeBenfvWuAYPJ0EAAAAAAA43Z/HTmrC9E904nRCvn06PvlSgWM4FGL4+vqoR7cH1OTG61XF75+d\nQ61W6YUhox0sFwAAAAAAVFQX0tPzDDB6d++q2fO+lSQlp9o/CeVyDoUY77w+UNdeE6q1G7bor78u\n2tqteTwrtrAi+z6rtne0UGZmpm0jkLTzFyTlfJAundrLYslW9NTZWr9luySp8Q1hGjtsgCp7V1LM\nb1sVPe3jYtcBAAAAAACc5/mnumrmFwvs2ns+2cUWYlyNQyHGbbc2VYfHX9TZtPOFq9AB67f8ofdn\nfC6r1apBLzyt3t27afLMLxRWv646RrRR52cGKNgYoNkTR9s29xgxuK/eHD9du/Yd1Ifjhyu8VXOt\n27StxGsDAAAAAADFYwz0l4eHhzz+fn25a68J1cWLF/M+MQ8OhRinE5NkVfFXXeRlw9+rKyRp594D\nuveu1pKku9u00tKVMcqyWHQq3qRjJ0/r5sY36FS8SVX8fLVr30FJ0o/L16h9m9sIMQAAAAAAKINW\nLpid52tJys626oM5/+fwWA6FGO9+MEdvDu6rT778TiZzSq5jV74vji6d2mvpyhhJkjEoQDt2H7Ad\nSzCZFRwUoKysLCWYkv5pTzIr2BhQYjUAAAAAAICS0/HJvpKkhR9PUtde/5WHR057drZVKaln9VdJ\nr8TIzrbq382aqENEeK52q9WqZnc/ctXzZ00cqcAAf7v2KbPmau36LZKkF3o8oszMLC1dEeNISY4b\n2eGf12sOSWsPl+z4buLPZcFl4pqXt7miptJSnj+bO6u+LDrX+7Mdo1xUifNsXhatlsX4XJfO33zF\n96ow4h7NOTdsa04dcbfm/b6kFDRufteKq168Ggo6P+xs+fvfFSqmuJPReb526NxfoxV2F38Xyqq4\nX0v23+GyaPnydwp9Ttzy1Hzfh3Wo6dD5YR1q2o1ztetdOfaV5xd0bXeYyyt/pijuzyrhbaXwdsUs\nCqXuVLxJktT6gR7FHsuhEGPUkJf03U+rtPiXtcr4669CX6RPZMFPMOncMUJ33n6rnh880taWaEpW\nSHCQ7X0tY6ASTGYlJCWrljF3e6IpOf/BRy8vdL0A4IiVf//Z3qVVAAAAVBzr1uZ8XTJ0lMtKgYPu\na3eHfl6zXpLU6Z478+3n6IIGh0KMAP8amvbx/5XI00iuFN6quXo+8bCeGzhcFy9m2tpXr9ukd0cM\n1mdf/6BaQQGqXzdUO/fm7IORdv6CmjZqqJ17D+qh+9pp3sIlJV4XABRk5dW7AAAAABXeS88+bgsx\nBvbuke9+myUaYvz2+w41ufE67dp3yMEyHff6wN6q5OWlWRNHSZK2796vsZNmKu7oCS1fs04/fDZV\nWRaL3po0w3bO2EkzNHbYAPl4eytm4+9s6gkAAAAAQBnUpedA2+sOT7xY7PEcCjFOnE7Q9OjhWrY6\nVkl/b+TpIQ9ZZdWsuQuLVcAD3fvne2zW3IV5jr/nQJy69hxUrOsCAAAAAAD34lCI0eSG6xR35Lga\nNqinhg3q5TpW3BADAAAAAACUf76+PurR7QE1ufF6VfHzsbVbrdILQwreS/MSh0KMnoNGFK1CAAAA\nAAAASW8N7a9/NQzTqtiNysj456Ehhdl/06EQAwAAAAAAoDjuaNlcD/bor+TUM0Uew5DfgW8/mezQ\nAAtmv1/kiwMAAAAAgIoh9cxZXUhPL9YY+a7EqFcnpMBnuEo5m3vWqR1crAIAwN2tlNTe1UUAAAAA\nZdyU2XMVNaC3Js34QmfOnivSGPmGGObkMxrQu/tVBzD9/bQSAAAAAACA/IwfPlgGg4e6dmovS3b2\nPwesVjW/5zGHxsg3xCiJ57cCQHm00tUFAGXZXkmNXF0EAAAoi/pEjiz2GGzsCQCFQIABAAAAFM3m\nP3YXewxCDAAAAAAA4BT3tbtDP69ZL0l64J67ZFXej1NduiLGofEIMQAAAAAAgFO89OzjthBjQO/u\nhBgAAAAAAKBs6tJzoO11Sey9aSj2CAAAAAAAAKXAoZUYvr4+6tHtATW58XpV8fOxtVut0gtDRjut\nOAAAAAAA4Bze3pX06ZSx8q5USZ6envpl7Xp9+OlXql6tqiaOilTtWsE6FZ+oyFETdC7tQp5jGAwG\nfTVzghJMZr087G2746Ne7Ser1SoPD49867BarRr93v8cqtmhEOOtof31r4ZhWhW7URkZf+W6EAAA\nAAAAcD8XL2aq16ARyvjrojw9Dfp82tuK2bhV97ZtrfVbtuuT+d+p15Nd9PxT3TR55hd5jtHjkQd1\n+MhxVfHzzfO4l6dnvvtgSJKHPAo8bjeeI53uaNlcD/bor+TUMw4PDAAAAJS6w5Kuc3URAOA+Mv66\nKEmq5OUlLy8vWa1SuztaqufA4ZKk75ev1ieT38ozxKhlDNSdt92qmXMX6NnH/pPn+MOjp5VovQ7t\niZF65qwupKeX6IUBoDxZ6eoCAKAiO3zFnyUx3qUvACjnPDw8tGD2+1r73afasPkP7dp3UIEBNWVO\nyVnEYE5OVWBAzTzPHfpyL0386DNZs0vvLg2HVmJMmT1XUQN6a9KML3Tm7Dln1wQAAHB1eyU1cnUR\nKDMOX/G6KKsx8gotWNkBoJyzWq16pPdgVa3ipyljo3R9g3p5dbJratu6hZJTzmjfwT/V8pYmDl3L\nv0Z1RQ14XrfferNq1qhm2yfDarWq2d2PODRGviHGtpXf5HrvaTCoa6f2smRn/9Notar5PY85dCEA\nAIASt/fvPwkzKqbirpS4PKAoaCyCDACu4Kni///b5jU5X5KUekzpVf3lVyMwz65p5y9o07adCm95\ni231hTk5VUEB/rZVGZe75aYbFRHeUnfefqsqe1dSFT8/vf36AL3+9tR8yxk2sLeMgQF6893pGj/i\nv3rtrUl6/qmuWr5mncMfKd8Q44XIUQ4PAgAAUKr2Xr0LyrmrBRhXBg+X+l8ZWjgahJT1IOPyz1GW\n6wRQulq2y/mSpA2/yNfqmetwzRrVZLFYdC7tgip7e6t1i2b6eN63WrN+szp3iNCc+YvUuWOEVsVu\nsht6yqx5mjJrniSpRbMmeu6JzgUGGJJ02603q2vPgTKnnJHVatXaDVu0//ARTRozVPMWLnHoI+Ub\nYmz+Y7ft9b9vbqzfd+yx63PrzfzaAwAAAG6kOKs3ympQcOVnKuuBC4Aywxjor3HDBsjTYJCHwaBl\nq2IVs3Grtu85oImjhqjrA/fYHrF6qf/oV/upX9Q4u7EceXqpl6dByalnJUkZf/0lX18fxScmKax+\nXYdrdmhPjA/HD9dt9z9l1z7t7dcV/uDTDl8MAACgWFiBgcJy1n/QF2XcS+dcuSqkqNcvbD+CDQBX\nOBh3TI/1GWLXfvZcmvrkcXeGyZySZ4CxZftubdm+2679SkdPnFajhg2050CcDhw+qj7duynt/AUl\nJac4XLNDIUZe/Hx9lG3JvnpHAAAAwBVK+qklhb1uXvtt5PW6KGFIUfqwQgOAi02ZNVeVvb1tryeM\njFQVX1+Neu9/Do/h0eSuh/Nd87Fk3nRJUt3atXTidEKuYwE1a2jDlu0aPHJCUWovFbvWLpI8Bpf4\nuH8uCy7xMfPToGNiqV8TqOjOdozKs729Cn6UavsSuPbmZdGSpJb51FCc8y8dQ+kIO1u0OSwXnHW3\naUGrMLjDtdjiTpb8vxFhd5Xw34MrVzKUR3mFDCX0eZ0xxxVNWIecx0zGLU916fVdWYMzFPXnHklK\nsko3te1SgtWUDZasTO3bESNtsN9Qs8ieDlcDq2e+G3u6iwJXYsz8YoEkacTgFzXj8wX6++knslqt\nSjKnaOO2nU4vEAAAVHCOPEqVx62WXSXx2//8VjKUR/ltSAoA5UzL5jfpxuuu1R+79mnXvkMOn1dg\niPH9stWSpCPHT2n77v3FqxAA3FxBqzAAOBl7Ybiny2/nuDLIuPI/zq92vKKp6J8fQLky+tV+2rH3\noBYu/kWS1O2BezRyyEs6czZN1apWUeSoCVoZs9GhsRzaE2P77v2qXcuoB+65U8FBgUowmbV0ZYxO\nJ5iK/ikAAABQcTjySFTk4HsBoJxp1bypZs1daHv/4jOPatLML/TJ/O/0eOcOevaxzg6HGAZHOoW3\naq4fv5imO2//t6pV9VPb1i304xfT1Oa2W4v2CQAAAAAAQIXgX7O6bZ/Na0JDFBwUqK++WyZJWvTT\nKjWoV8fhsRxaiTHkpef05rvTtXRFjK3t/vZtNOSlZxW7cWthagcAAOVdSe5PUZjbSNgXAwCAMumv\ni5mqVMlLmZlZanxjmI4cP6kL6RmSpKwsi7y9Kzk8lkMrMUJDjPppZWyutuWr16t2LWMhygYAAAAA\nABXNngOH1aPbg/L2rqT/3BehDVu2247VqR2s5FTHn8LiUIix+Y9datX8plxtLZo10ZY/djt8IQAo\n79j4EwAAALA3ZdZc9Xqyi7Ys/1KNbwzTZ1//YDvWMSJc23c5/iARh24nOXbitKaMjdLKmI06FZ+o\nOrWDdXeb2/TtkhXq06ObPOQhq6y5NuoAAAAAAADYd/BP3ffEi2pwTaj+PH5K6X/fSiJJv6zdoO8u\nrHJ4LIdCjEYNw7T3QJxCaxlVu1aQJGnvgTj9q2GDXP0IMQAAAAAAwJXS0zO050CcXfuR46cKNY5D\nIUbPQSMKNSgAAECxFWZTTwAAUCE4tCeGJBkMBt3S5EZ1jAiXJPn6VFZlb2+nFQYAAAAAAHA5h1Zi\nXBMaounRbygowF9engYtW71Od7S8Rffe1VpR4yY7u0YAAAAAAADHVmK8PqiPlq2KVfhDTyvTYpEk\nbdq2U/9u1tipxQEAgAqKW0kAAEAeHFqJ0fRfDfXysHGyWq22tnNpF1StahWnFQYAAAAAANzbCz0e\nkVXWfI8X9mmnDoUY586fV/WqVZVy5qytzRjor6TkVIcuAgAAKpi9khoV4RwAAFCutG7RrMAQ45IS\nDTFW/vqbxrzWX+MmzZQk1aheTa+98ryWrYp16CIAAAD5KkrgAQAA3EJJP+3UoT0xPpgzX+cvpOvn\nr2eqWhU/xXz/qbIysxxOSgAAAOzszec1AABAPhxaiZHx10VFjZ2s6Gkfq27tWjoVb1Jy6hln1wYA\nAAAAAMoJn8reevGZR3XbrTfLv0Z1eRg8JElWq1X3P/mSQ2M4tBJDkurXDVX9uqE6l3aBAAMAABTP\n3iv+BAAA5d7Q/r0UEd5KP/68RoH+NfTZV9/r4sVMfffTKofHuOpKjLvbtNLrA/soOCjA1pZgMit6\n2sdaGbOxaJVfJrLvs2p7RwtlZmbq+KkEDY+eprTzFxQaYtQPn0/Tn8dOSpK2796vsX/vydH4hjCN\nHTZAlb0rKea3rYqe9nGx6wAAAAAAAM7TLrylnn3lDR0/Fa8Bvbtr/qKftHHrTr0+sI9mfP6Nrzq9\neQAAIABJREFUQ2MUGGI0viFME0cN0Q/L12jZ6nVKMJlVyxiojhHhem/UEPXoF6Xd+w8X60Os3/KH\n3p/xuaxWqwa98LR6d++myTO/kCQdOxmvR3tH2p0zYnBfvTl+unbtO6gPxw9XeKvmWrdpW7HqAAAA\npYCVFwAAVFi+PpV1/FS8JOliZpYqVfJS3NETatqoocNjFBhiPP3oQ/r4/xbpgznzbW1xR09ow5bt\nSkxKVo9HHtSwcVOKWH6ODVu2217v3HtA997VusD+QQH+quLnq137DkqSfly+Ru3b3EaIAaBMWCmp\nvauLAAAAAMqgk6cTFVa/ruKOntCR4yfVtVN7nU07r3Np5x0eo8A9MW5p8i8tWPxLnscWLv5Ft9z0\nr8JVfBVdOrXXrxt/t72vGxKsb2ZP1CeT31LzpjnPXqtlDFCCKcnWJyHJrGBjgN1YAADAxdj3AgAA\nXObj//tWtWsZJUkfffa1Il96Tm+/PlD/+/Qrh8cocCVGjerVFJ+YlOexeJNZNatXc+gisyaOVGCA\nv137lFlztXb9FknSCz0eUWZmlpauiJEkJSal6J5H++hs2nk1ahimqeOi1PnZAQ5dL5eRHf55veaQ\ntLZ4t78AAIAiIswAABRTeFspvJ2rqyg/vL0r6dMpY+VdqZI8PT31y9r1+vDTr1S9WlVNHBWp2rWC\ndSo+UZGjJuhc2oVc54YYA/X2GwMVULOGrFZpweKfNW/hkgKv99OqWNvrDVu2644Hn1alSl5KT89w\nuOYCQwzD3487yY+HR8HHL+kTObrA4507RujO22/V84NH2tqysrJ0Ni1LkrT3YJyOn4pX/bqhSjAl\nq5YxyNavljFQiabk/AcfvdyhGgEAgBMRYAAASsC6tTlflwwd5bJSyoWLFzPVa9AIZfx1UZ6eBn0+\n7W3FbNyqe9u21vot2/XJ/O/U68kuev6pf/auvCTTYtH4D+Zo/6Ej8vX10dcz39OGLdsVd/REvtdr\n3rSRkswptn0xsrKyVDs4SIFhNfTH7v0O1VxgiFHJy0t9enTL85iHPFTJ66oPN7mq8FbN1fOJh/Xc\nwOG6eDHT1l6zRjWdPXde2dnZqlu7lurVqa0Tp+N1Lu2C0s5fUNNGDbVz70E9dF+7q6Y9AADARQgv\nAAAo0zL+uigp57//vby8ZLVK7e5oqZ4Dh0uSvl++Wp9MfssuxDAnp8q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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, cbar = thalweg_salinity(grid_T_d, thalweg_pts_file='../../tools/bathymetry/thalweg_working.txt', colours=colours)" ] }, { "cell_type": "code", "execution_count": 88, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 88, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cbar.ax.axes.tick_params()" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(1539, 2) 3078\n" ] } ], "source": [ "pts = np.loadtxt('../../tools/bathymetry/thalweg_working.txt', delimiter=' ', dtype=int)\n", "print(pts.shape, pts.size)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "collapsed": true }, "outputs": [], "source": [ "salinity = grid_T_d.variables['vosaline']" ] }, { "cell_type": "code", "execution_count": 57, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import matplotlib" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "collapsed": true }, "outputs": [], "source": [ "matplotlib.figure.Figure.set_facecolor()" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(40, 1539)" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "matplotlib.axes.Axes.contourf()" ] }, { "cell_type": "code", "execution_count": 96, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/doug/warehouse/conda_envs/analysis/lib/python3.5/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", " if self._edgecolors == str('face'):\n" ] }, { "data": { "image/png": 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A+NxDWXlhaqWwUNAhc7DhqiHG2/t3IgslWIYA1bJFuItdKHD6agyGGEQiOXyY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\nAAAo0zL+uigp57//vby8ZLVK7e5oqZ4Dh0uSvl++Wp9MfssuxDAnp8q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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "reload(figures)\n", "\n", "fig = figures.thalweg_salinity(grid_T_d, thalweg_pts_file='../../tools/bathymetry/thalweg_working.txt')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "figures.thalweg_salinity()" ] } ], "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": "3.5.0" } }, "nbformat": 4, "nbformat_minor": 0 }