diff --git a/demos/01-2d-channel.ipynb b/demos/01-2d-channel.ipynb index f244e8f00..6db329d15 100644 --- a/demos/01-2d-channel.ipynb +++ b/demos/01-2d-channel.ipynb @@ -69,7 +69,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", 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" ] @@ -264,7 +264,7 @@ "outputs": [ { "data": { - "image/png": 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ny/UNb+WF4+dwONW2D5PslARW5KXw/FHzPAQDJ1r6qOvo58bl9jwPvsY2RWSt+XwO2AYcBR5X1cMi8k0RudWq9iCQKSI1wBeBe6xzDwOPA0eAvwKfVVUHgIgkATcAT4665HdF5KCIHACuAf7Brx2cIduPtLA8N4XcNHtyzkdFCe9YmsVLJ1pxGLNd29l+pIW5yfGsyk+zTYZrl2VfNKAx2Mv2I671W7s+VH2NrWtEqvq0qi5R1WJVvc8q+5qqbrW2B1T1faq6SFXXqeopj3Pvs85bqqrPeJSfV9VMVe0eda2PqOpKVb1UVW9V1aD10GvvG2RvnX3TMG6uWTqXrv5h9jcYr3o7GXY4eeVEG9cum0tUlH2Rla9bNhenwksnzKjIbp490kJpQRrZKaEZW240YWmsEOo8f+wcqtg2DePmqsVZRAm8eMy8eOyksq6L3sERn6WHny4r81KZMzueHWZ6zlaaui9woKHb9veDLzGKKAh57mgLOakJLM/1fyyxiUidFcua+em8YAwWbOXlE61ERwkbFwXWjH80UVHCtctc07XDDqetskQyLxxz/X80isjgN4ZGnLxS7ZqGCYYEV1cvncvBxm4TZcFGXq5upawgze9Bb73h2mXZ9A6MUHHGRFmwi1drWpmXksDiubPtFsVnGEUUZFTWddI/5OAqm6dh3Fxt+Si8ZEZFttDeN8jBxu6geR6uWDyHuOgonjdm3LbgcCqv1bRz5eI5QfGh6iuMIgoyXq1pIzpK2BAksaNKclKYmxxv/Ils4tWaNlQJGkU0Oz6GyxZm8LxZN7SFg43ddF8Y5sogeR58hVFEQcYr1W2syk8lJcDRFMZDRLhm6VxerjbrAnbw0olW0mbFsjIv1W5RLnLl4jmcbD1Pc7eZrg00r5xwfRBeHiQfqr7CKKIgort/mAMNXVxh86L0aK5ZlkXvwAj7as26QCBRVV6pbuPKxVlE22i2PZrLrefztZo2myWJPF6paWNFXgqZs+PtFsWnGEUURLxxqh2nwhWLg2vYvaF4DlECr51st1uUiOJoUy+tvYNctTi4PkwumZdCRlIcr500iiiQ9A26PgavWBRc7wdfYBRREPFqTStJcdGUFdrnPT8WqYmuqaE3zIsnoLxc7ZqGCZb1ITdRUcKGhZm8XtNuonEHkF2n2hlxatB9mPgCo4iCiFer21i/MDMoc4tsKJ5DZV0X/UMjdosSMbx8opVl85KD0nt+46JMmnsGONl63m5RIoZXqttIiI1iTdGYGWxCmuB740Uo9R39nGnvvzj/HmxsLM5kxKnsMf4jAWFg2EHFmU6uDNKvX/c65utmlBwwXq5u5bIFmcTHBC5bc6AwiihIcC/8BuuLp7wondhoMS+eALGvrpMhhzNozPhHU5gxi7y0RGOwECAauy5wqvV80L4fZopRREHCKzVtZKfEsyhIvaVnxcVQWpDGTmOwEBB2nuogSqC8KMNuUcZERLh8USZvnGw30dkDgFvhX2EUkcFfOJ3K6zVtXL4ouL2lNxTPuehQZ/AvO0+1syIvePzJxuLyRXPoGRjhUGP35JUNM2LnqXYykuJYmp1styh+wSiiIODEuV46+4fZWBzcXzsbizNxKuw+3WG3KGHNwLCDqrou1i8Mzmk5N+7n1Zhx+59dpzpYV5QR1B+qM8EooiDA/WK/bEFwTsO4KStMIz4myqwT+Rn3+tD6hcH9PGQlx7M0O5nXa8x0rT9p6OynsesClwX58zATbFVEIrJJRI6LSI2I3DPG8XgRecw6vktEijyO3WuVHxeRmzzKz1iZWKtEpMKjPENEtotItfU3aGwgd53qIDc1gfx0e7Kxekt8TDRrizJ4w6wT+ZVgXx/yZENxJnvOdDA0YsI/+Ytdp9wfqsE9Qp4JtikiEYkGfgrcDJQAd4pIyahqHwc6VXUR8EPgO9a5JcAdwHJgE/Azqz0316hqqaqWe5TdA+xQ1cXADmvfdlSVXac7WLcgNIbdG4ozOdbcS1vfoN2ihC07T7WzMsjXh9xctiCDwREnB806kd/Ydbqd1MRYls0Lz/UhsHdEtA6oUdVTqjoEPApsHlVnM/Cwtf0EcJ243tabgUdVdVBVTwM1VnsT4dnWw8BtPujDjDnVdp62vkEuC/L1ADcbLXPinafMqMgfhMr6kJu11nSyWTf0H7tOd7C2KMPWNPH+xk5FlAfUe+w3WGVj1lHVEaAbyJzkXAWeFZG9InK3R51sVW2ytpuBMdMbisjdIlIhIhWtrf5PfeD+D7wuyNeH3KzISyUxNtokRvMTb64PhYYimjM7noVZSew5YxSRP2juHqC2vT/o1wtnSjgaK1yhqqtxTfl9VkSuGl1BXQGyxnR+UNUHVLVcVcuzsvwf42v36Q7Xf+Y5SX6/li+IjY5i9fw08wXsJ95cHwqaJcxJWVeUwZ4zHcafyA/sOu2aeQjn9SGwVxE1AgUe+/lW2Zh1RCQGSAXaJzpXVd1/zwF/4M0puxYRybHaygFsz+ylquw61c5lIbI+5KZ8fgbHmnvoGTD+RL7GvT6UHALrQ27WLcigd2CE4829dosSduw81UFyfAwluSl2i+JX7FREe4DFIrJAROJwGR9sHVVnK7DF2r4deN4azWwF7rCs6hYAi4HdIpIkIskAIpIE3AgcGqOtLcBTfuqX1zR0XuBs90DImWWuW5CBUzH5iXyMe30oVNYL3ay1rPvM9Jzv2XW6nfKi9KDKR+UPbFNE1prP54BtwFHgcVU9LCLfFJFbrWoPApkiUgN8EcvSTVUPA48DR4C/Ap9VVQeudZ9XRWQ/sBv4i6r+1Wrr28ANIlINXG/t28quEFsfclNWmEZ0lJgXj4852NjNkMNJ+fzQmZYDyE9PJDc1wUzX+phzvQOcaj0fch8m0yHGzour6tPA06PKvuaxPQC8b5xz7wPuG1V2Clg1Tv124LoZiuxTdp9uJ21WLEvmhpZZ5qy4GFbkpphI3D7GbQCyJsQUkYiwdkEGr5905ScKpWnmYGbPadfzEOyO7r4gHI0VQoZQNstcW5RBVX0XgyMOu0UJGyrOdLAwKykk00CvW5BBa+8gte39dosSNuw500FCbBQr8lLtFsXvGEVkE+d6XGaZ60LAe34syosyGBpxmoCXPsLpVPbWdYbctJwb93Nspud8x97aTkoL0oIyUaavCf8eBil7rYX+UDLT9WStJffu02Z6zhecauujq384JML6jMWiubPJSIpjt1k39AnnB0c40tRD+fzQfB6milFENrG3tpO4mCiW54bmsDtzdjzFxpHRZ7jX20J1RCQilM9PNyMiH7G/oQuHU0NuvXC6GEVkE3vrOlmVn0pcTOjegrVFGVSc6cBpHBlnTMWZTjKT4lgQIo7NY7G2KIO6jn5ae00cwpmy1/owWV1oFJHBTwwMOzjU2M3qEP/aWVuUQc/ACCfOGUfGmVJR28Ga+ekhbXG2en4a4ApTZJgZFbWdLMmeTeqs0HFsnglGEdnAwcZuhh0a8vO/bv8nY8Y9M9zWZqG6XuhmeW4qsdFiFNEMcTqVfXWdETMtB0YR2YLbUGF1YZrNksyM/PRE5syOp9JEWJgRe2td6yqhaqjgJiE2muW5qVTWdtktSkhTfa6P3oER1oT4h+pUMIrIBirOdLJgTmj6i3giIqwuTKOy3rx4ZsKeM53Ex0SxIkQNVzxZXZjO/oYuhh0mUd50cX+omhGRwW+ohtewu6wwndNt5+k4P2S3KCFLRW0nq/LTQtpwxc3q+WkMjjg5crbHblFCloraDjKT4ijKnGW3KAEj9J/8EONMez8d54fCRhG5pxer6s303HS4MOTgcGM3a0J8fciN28rLrBNNn721nSFvuDJVjCIKMOE27L403xUAdZ9ZF5gWh852M+LUsDHTzU1LJCc1gX115nmYDm7DlXB5P3iLUUQBZm9tBykJMSzKmm23KD4hMS6aS3KSzRfwNKmyXtilBaFtuOLJ6sJ0kyJkmoR6xJXpYhRRgNlb28nq+ekhGeh0PFYXprO/vstk6JwGVfVd5KUlkpUc2oYrnpQVptHYdYFzPQN2ixJyVNZ1EhcdGYFOPTGKKIB0XxjmREtf2EzDuCkrTOP8kIMTLcaxdapU1nVSFuJm/KNxO2qbUfLUqazroiQ3hfiYaLtFCSi2KiIR2SQix0WkRkTuGeN4vIg8Zh3fJSJFHsfutcqPi8hNVlmBiLwgIkdE5LCIfMGj/jdEpFFEqqzfLYHooyf7LTPncFNEZoF6epzrGeBs90BYTcsBLM9NIS46yqwTTZERh5MDjV1h9zx4g22KSESigZ8CNwMlwJ0iUjKq2seBTlVdBPwQ+I51bgmu1OLLgU3Az6z2RoB/VNUSYD3w2VFt/lBVS63fWxLyBYKq+i5E4NKC8Bp2F2bMIjMpjkrz4pkSbv+rcBsRxcdEsyIv5eJ6h8E7jjX3MjDsDLvnwRvsHBGtA2pU9ZSqDgGPAptH1dkMPGxtPwFcJy6bxs3Ao6o6qKqngRpgnao2qeo+AFXtxZWCPC8AffGKyrpOFmXNJiUhvOJHiQhlhWlmRDRFquq7iImSkI3APhGrC9Ndqc9HjGOrt1S5P0wKwmvGxBvsVER5QL3HfgNvVxoX66jqCNANZHpzrjWNVwbs8ij+nIgcEJGHRGTMuy0id4tIhYhUtLa2TrVP46KqVNWH77C7rDCdU63n6eo3jq3eUlnXSUluCgmx4bcesGZ+OkMjTg6fNYkTvaWqvovMpDgKMhLtFiXghKWxgojMBn4P/L2qul287weKgVKgCfj+WOeq6gOqWq6q5VlZWT6Tqa6jn87+YUrDdNjtnk4w4X68w+FUDjZ0h+2HyZsGC+Z58JbKOldG1khyZHVjpyJqBAo89vOtsjHriEgMkAq0T3SuiMTiUkK/UdUn3RVUtUVVHarqBP4T19RgwAj3Yfeq/DSiBBMA1Uuqz/VyfsgRtoooOyWBvLREM13rJd0XhjnZej5sn4fJsFMR7QEWi8gCEYnDZXywdVSdrcAWa/t24HlVVav8DsuqbgGwGNhtrR89CBxV1R94NiQiOR677wYO+bxHE1BZ10VibDRLssPDkXU0SfExLJuXYkZEXhKOjqyjKStMMx8mXrL/ouFKeH6oToZtisha8/kcsA2XUcHjqnpYRL4pIrda1R4EMkWkBvgicI917mHgceAI8Ffgs6rqAC4HPgJcO4aZ9ndF5KCIHACuAf4hMD11UVnfxcr8VGKiw3I2FHC9eKrqukzGVi+oqu8iNTE2pDOyTsbqwnTOdg/Q3G0cWycjXC1qvSXGzotbJtRPjyr7msf2APC+cc69D7hvVNmrwJgTrKr6kZnKO10GRxwcPdvD315eZJcIAWF1YTq/2VVHTWsfS7KT7RYnqKms6wr79QBPx9ZbVuZMUjuyqarvojgMLWq9JXw/z4OII2d7GHKEv3+Au38mztjE9A260quH87QcQElOCvExUcafaBJU1RVhI8yfh4mYVBGJSL6IfElEnhKRPSLysoj8TETeKSJGkXlB5cX1gPCe/10wJ4n0WbFmgXoSDjR0oUrYWlC6iYtxxUyrMuuGExLuFrXeMKEiEZFfAQ8BQ7iiGtwJfAZ4DldEg1dF5Cp/CxnqVNV3MS8lgXmpCXaL4ldcjq3pJsLCJLhfzKX54f/iKStI45BxbJ0Q9/+XcLWo9YbJ1oi+r6pjWZcdAp60rN0KfS9WeFFV3xX203JuygrSeP7YObovDJOaGJnz3ZNRWdflGj0mxdktit8pK0znl6+e5lhzD5dGgOKdDlX14W1R6w0TjojGUUKex4dUtca3IoUX7X2D1HX0h/16gBv39MKBBjMqGotwj7AxmtKLGXzN8zAekWBROxle9VxE3iUilSLSISI9ItIrIiYpvRdcnIaJkBfPqoI0RN70kzG8lbPdA7T2DkbM85CbmsDc5HgzXTsOA8MOjpztjpgZk/Hw1nz734H3AActh1KDl1TVdxEdJazMjwz/gJSEWIqzZpsv4HFwK+hIefGICKUFaeZ5GIcjTT0MOzSiLebAe/PteuCQUUJTp6q+i6XZycyKs9VlK6CUFqRRWd+FeVzeTmVdJ3ExUSybl2K3KAGjrDCd023n6TxvAuKO5qKhQoRGVHDjrSL6MvC0lXCWz0EAACAASURBVIzui+6fPwULB5xOaz0gQr5+3ZQVptFxfoj6jgt2ixJ0VNV3sSI3hbiYyFkPcE9DVpl1w7dRVd9FTmoC2SnhbVE7Gd7+b7gP6AcSgGSPn2ECTrX10TswEjHrAW7c/a2sN/5Engw7nBxs7A57f7LRXJqf6gqIa9aJ3kZVfWfEvR/Gwtv5olxVXeFXScKQN/0DIutBW5qdTGJsNJV1XWwuDZq8hLZzvLmXwZHwj7AxmqT4GJZkJ1NpHJ3fQlvfIPUdF/jI+vl2i2I73o6InhaRG/0qSRhSVd9FcnwMxVmR5R8QEx3FynzjUT8a94s4Er+AywrT2V9vAuJ6UhUhEVe8wVtF9GngryJywZhve09VfRerCtKIigrfwJbjUVaQxpGzPQyOOOwWJWiorO9izuw48tMjLwNnWUEaPQMjnGo7b7coQcNFi9q8yLConQivFJGqJqtqlKomqmqKtR85Zj/T4MKQg2PN4R/YcjxKC9IYcjg5ctZ8r7hxO7KGc8Tt8Sgzjq1vo7K+k2XzkkmMC79U8VNlslhzRZMcFxHJ96VA4cLBxm4cTo1YReQ2RzUvHhfd/cOcaj0fsWa6xVmzSY6PMetEFg6nsr8+fFPFT5XJjBW+Z0XYfgrYC7TispxbhCu53HXA14EGfwoZilRZFmORZrrtZl5qAvNSEowisnCbLkfqiycqSlhlHFsvcrK1j77BkYj9MBnNZLHm3gf8X2Ap8FPgFVxK6RPAceBaVd0+3YuLyCYROS4iNSJyzxjH40XkMev4Ls8RmuXTVGOdf9NkbVopyXdZ5Y9ZAVv9RlV9FwUZicyZHe/PywQ1xqP+TarqrAycERJhYyxKC9I41tzLhSGzbhgJqeKnwqRrRKp6RFW/qqpXq+pSVS1T1Q+q6v9YGVSnhYhE41JuNwMlwJ0iUjKq2seBTlVdBPwQVyoKrHp3AMtxpaP4mYhET9Lmd4AfWm11Wm37DVcGzsj+2ikrTKO2vZ/2vkG7RbGdqvpOFmXNJjlCM3CC63lwOJWDjd12i2I7lfVdJCfEsDCMU8VPBTvdu9cBNap6SlWHgEeBzaPqbAYetrafAK4T10rvZuBRVR1U1dNAjdXemG1a51xrtYHV5m3+6lhLzwBN3QMR5z80GvfX3v4I96h3R9yONP+h0Vx0dDbrRFTWuRxZI9GidizsVER5uGLYuWmwysaso6ojQDeQOcG545VnAl1WG+NdCwARuVtEKkSkorW1dRrdgnM9gyzMSor4F8/K/FSioyTiI3FfzMAZ4SPkzNnxFGbMivjp2vODI5xo6Y34D1VPIifglZeo6gOqWq6q5VlZWdNqY2V+Ks//49URvxA5K87yqI/wF0+lWQ+4SGlBWsSH+jnY2I0zAlLFTwVv8xH9SUQ+KCK+nNBsBAo89vOtsjHriEgMkAq0T3DueOXtQJrVxnjXMviBskKXwUIke9SbDJxvUlaYRnPPAE3dkRsQ1z0iXGUy1l7E2xHRvwFXAEdE5AkRuV1EZhoudg+w2LJmi8NlfLB1VJ2twBZr+3bgeSsVxVbgDsuqbgGwGNg9XpvWOS9YbWC1+dQM5Td4QWlBGr0R7lFfWd/FpRGegdPNxUjcETwqqqrrojBjFpkRbFE7Gm8jK7ykqp8BFgK/AN4PnJvJha31ms8B24CjwOOqelhEvikit1rVHgQyRaQG+CJwj3XuYeBx4AjwV+CzquoYr02rra8AX7TayrTaNviZsghfoB4ccXD0bI+ZhrEoyU0hLjoqoqdrIylVvLd4na1NRBKBvwE+AKzmTWu2aaOqTwNPjyr7msf2APC+cc69D1d6iknbtMpP4bKqMwQQt0d9VX0X7ysvmPyEMOPw2R6GHE6zMG0RHxNNSW5KxI6Imrov0NwzYBTRKLxdI3oc1wjjWuAnQLGq/i9/CmYIDyLdo95EWH47ZYVpHGjsYtjhtFuUgBNpqeK9xdtJ6wdxKZ9PqeoLqhp5T5Bh2kSyR707A+e81MjOwOlJWWE6A8NOjjf32i1KwKmq7yIuOoqSXBMz2hNvFdErwL0i8gCAiCwWkXf5TyxDOBHJHvVmPeDtXFw3jMBRcmV9F5fkphAfYyJue+KtIvoVMARstPYbgX/xi0SGsOOipVSEpQ5v7xukrqPfKKJR5KcnMmd2XMStE404nBxs6DbrhWPgrSIqVtXvAsMAqtoPmNgUBq/InB1PQUZixK0TuftrFNFbERGXY2uEfZicaOnjwrDDPA9j4K0iGrKs5hRARIoBE8nS4DVlBekR51F/MQNnBEfcHo+ywnROtZ6nu3/YblEChvkwGR9vFdHXcfnrFIjIb4AdwJf9JpUh7CgtSKOpe4CWnmkHbA85quq7WJqdzKw4r70kIoaL07URFBC3qr6T9FmxzM+cZbcoQYe3Dq3bgfcAdwGPAOWq+qL/xDKEG26HzkgZFTmdSlVdl3FkHYdL81MRiawIC67UMJGZKn4yJksVvtr9A+YDTcBZoNAqMxi8YvlFj/rIWBc41dZH7+CImYYZh+SEWBbPnR0xz0PvwDA1rX3Gn2wcJpsz+P4ExxSXg6vBMCnxMdFcEkEe9e6R32ozIhqXsoJ0th1pRlXDfpRwoKEbNRG3x2VCRaSq1wRKEEP4U1aQxuMV9Yw4nGEfALTqYgZOE3F7PEoL03isop4z7f0sCPNMpRcNFUzE7TGZbGruyx7b7xt17P/5SyhDeFJakEb/kIMTLX12i+J3Kuu6WJVvMnBORNnFdcPwn56rrOti4ZwkUmdFbqr4iZjss/QOj+17Rx3b5GNZDGGO+8UT7v5E5wdHONbcY6blJmHx3GSS4qLD/nlwp4o364XjM5kiknG2x9o3GCakMGMWGUlxYR9hYX9DF06FsvlmYXoioqOES/PDP2NrY9cF2voGTaDTCZhMEek422PtGwwTIiKsyk8N+y/gi4YKxkJqUkoL0zja1MPAcPgGxK00EdgnZTJFtEpEekSkF7jU2nbvrwyAfIYwo6wwnepzffQOhK9H/b7aToqzzHqAN5QVpDHiVA6FcUDcqvou4mOiWJaTbLcoQcuEikhVo1U1RVWTVTXG2nbvT/t/mYhkiMh2Eam2/o75qSAiW6w61SKyxaN8jYgcFJEaEfmRWLafIvI9ETkmIgdE5A8ikmaVF4nIBRGpsn4/n67shplRWpCGqsucNRxRVSrruygrNF+/3lAaAeuGVfVdrMhLJTbMLUVngl3/MvcAO1R1Ma5wQfeMriAiGbhCC12GK7Pq1z0U1v3AJ4HF1s9tOLEdWKGqlwIneKuBxUlVLbV+n/JDnwxesKogvF88te39dJwfYrVRRF4xNzmBvLTEsF0nGnY4OdTYbQwVJsEuRbSZN1ONPwzcNkadm4Dtqtqhqp24lMwmEckBUlR1p6oq8Gv3+ar6rKqOWOfvBPL92QnD1ElNjKU4KylsTXb3Wf1aPd+8eLyltDB8M/gea+plcMRpFNEk2KWIslW1ydpuBrLHqJMH1HvsN1hledb26PLRfAx4xmN/gYhUishLInLleIKJyN0iUiEiFa2trV50xTBVSgvSqarvwvUdEV7sq+tkdnwMi+ea9QBvKStIo7HrAufCMCCu20LUKKKJ8ZsiEpHnROTQGL/NnvWsUY1P30gi8lVgBPiNVdQEFKpqGfBF4LciMmauXlV9QFXLVbU8KyvLl2IZLEoL02jrG6Kh84LdovicfbUuf5Fo48jqNRcdW8NwVFRZ38Wc2fHkpyfaLUpQ4zdFpKrXq+qKMX5PAS3WFBvW33NjNNEIFHjs51tljbx1ys1djtXeXcC7gA9ZSg5VHVTVdmt7L3ASWOKjrhqmSLimijaOrNNjeW4qsdESlutEJuK2d9g1NbcVcFvBbQGeGqPONuBGEUm3jBRuBLZZU3o9IrLespb7qPt8EdmEK0/SrVYWWazyLBGJtrYX4jJwOOWfrhkmY9m8ZBJio8IuAKpxZJ0eCbHRXJKTEnaOzu19g5xuO095kXkeJsMuRfRt4AYRqQaut/YRkXIR+SWAqnYA3wL2WL9vWmUAnwF+CdTgGt2414J+AiQD20eZaV8FHBCRKuAJ4FMebRkCTEx0FCvzUsPuxeP+oi8z6wFTpqwgjQMN3Yw4nHaL4jP2Wc/DGvNhMim2pI60psmuG6O8AviEx/5DwEPj1FsxRvmica73e+D3MxDZ4GPKCtP5r9fPMDTiJC4mPPwrKus6WZiVRNqsOLtFCTnKCtN5+I1aTrT0UZI75vJtyLG3tpPYaGFlnkkVPxnh8QYwhBylBWkMjTg52tRjtyg+QVXZV9dl/IemSWkY+pftq+1keW4qCbHRdosS9BhFZLCFcHvxGEfWmTE/cxbps2LDxr9saMTJ/oYuMy3nJUYRGWwhJzWBucnxYfPiMY6sM0NEKC0IH8fWI009DI44jSLyEqOIDLYgIqyZn87eMFJExpF1ZpQVplPT2kdPGATE3Vvreq6NIvIOo4gMtlFelEF9xwVawsCj3u0vYhxZp8/FgLj1oR8Qd19tJ3lpiWSnJNgtSkhgFJHBNtZa/hUVZ0J7VNQ/NMKx5l6T+GyGuAPihvp0rapSUdthRkNTwCgig21ckpNCYmw0e86EtkvX/vpuHE41hgoz5GJA3BBfJzrbPUBLz6BRRFPAKCKDbcRGR1FWmEZFbWgrooozHYhgFJEPWDM/nb21nTidoRsQ16wPTR2jiAy2Ul6UwZGzPfQNjkxeOUjZfaaDpdnJJiOrD1hblEH3hWGqz/XZLcq02VfbSWJsNMvmGcMVbzGKyGAra4vScWrorguMOJzsq+1kbVGG3aKEBesWuP4dd4fwdG1FbQerClKJMRlZvcb8SxlspawwnSgJXYOFo029nB9ysHaBUUS+oDBjFnOT49lzOjQVUe/AMEfO9rBuQabdooQURhEZbGV2fAyX5KSE7DqR+8t9nRkR+QQRYe2CDPac6QjJxIl7aztxKlxmPkymhFFEBttZW5RBZV0XwyEYeXnP6Q4KMhKZl2r8RXzFuqIMmroHQjJx4u7THcREiTHlnyJGERlsp7wonf4hR8gFQFVV9pzpMOtDPsb97xmKZv27T3ewIi+VWXG2JDYIWYwiMthO+Xz3iye01olOtZ2n/fyQmZbzMUvnJZOcEBNyimhg2MH+hi4zLTcNbFFEIpIhIttFpNr6O6bBvYhssepUi8gWj/I1InJQRGpE5EdWplZE5Bsi0mglxasSkVs8zrnXqn9cRG7yfy8N3jIvNYH89EQqQuzF415QN4YKviU6Siifn87uEDNYcE0v60XLP4P32DUiugfYoaqLgR3W/lsQkQzg68BlwDrg6x4K637gk7hSfi8GNnmc+kNVLbV+T1ttlQB3AMutuj9zpw43BAfrFmSw+3RoLVDvPtPBnNlxLJyTZLcoYcfaBRmcbD1Pe9+g3aJ4zR7Lsdk9wjd4j12KaDPwsLX9MHDbGHVuAraraoeqdgLbgU0ikgOkqOpOdb21fj3O+aOv96iqDqrqaVwpxtf5oiMG37B+YSbt54dCypFxz5kOyudnYA3IDT5kXVHoTdfuPt3BsnkpxrF5GtiliLJVtcnabgayx6iTB9R77DdYZXnW9uhyN58TkQMi8pDHCGq8tgxBwoaFLr+LN0622yyJdzR3D1DfccFMy/mJlfmpxMVEhcw60bDDyd7aTrM+NE38pohE5DkROTTGb7NnPWtU46v5mPuBYqAUaAK+P9UGRORuEakQkYrW1lYfiWWYjIKMWeSlJYaMIjL+Q/4lPiaa0oK0kFknOtTYzYVhh1kfmiZ+U0Sqer2qrhjj9xTQYk2xYf09N0YTjUCBx36+VdZobY8uR1VbVNWhqk7gP3lz+m28tsaS+wFVLVfV8qysrKl22zADNhRnsut0e0gEvHzjZBvJCTGU5KbYLUrYsn5hJofPdtPdH/yJ8twK05jyTw+7pua2Am4ruC3AU2PU2QbcKCLp1hTbjcA2a0qvR0TWW9ZyH3Wf71ZuFu8GDnlc7w4RiReRBbgMHHb7ulOGmbF+YSad/cMcb+m1W5RJea2mnfULM00iPD9yeXEmToWdp4N/lLz7dAcLs5LISo63W5SQxC5F9G3gBhGpBq639hGRchH5JYCqdgDfAvZYv29aZQCfAX6Jy+jgJPCMVf5dy6z7AHAN8A9WW4eBx4EjwF+Bz6qqw++9NEyJDcWhsU5U39FPXUc/G4tNPDF/UlqYRkJsVNA/DyMOJ7tPd5j1oRlgi/uvqrYD141RXgF8wmP/IeChceqtGKP8IxNc8z7gvmmKbAgAeWmJFGbMYuepdj52xQK7xRkX94vx8kVzbJYkvImPiWZtUQav1bTZLcqEHGjspndwhCsWman86WIiKxiCivULM9h1uiOo14leP9nGnNnxLJ47225Rwp7LF82h+lwf53oH7BZlXF6rbkPkzRG9YeoYRWQIKjYUZ9J9YZgjQRp3TlV57WQ7G4szjf9QANgYAtO1r9a0sTw3hYykOLtFCVmMIjIEFestf6Kdp4LzxXOytY/W3kEuX2S+fgPB8txUUhJieL0mOJ+H/qER9tV1mmnaGWIUkSGoyElNpChzVtAqotesF+LGYvPiCQTRUcL6hZm8djI414l2n+5g2KFcYRTRjDCKyBB0bFw0h52nOhgaCb78RK/VtFGQkUhBxiy7RYkYLl80h4bOC9S199stytt4raaNuJgo4z80Q4wiMgQd71iSRd+ga8ojmHA4lZ2n2tm40Hz9BhL3OtHrQTgqerWmnfL56STEmhjKM8EoIkPQsbE4k5go4aUTwRVi6fDZbnoGRtho1ocCyqK5s8lKjue1IDNYaOsb5GhTj1kf8gFGERmCjuSEWNbMT+el48GliF61/FmMmW5gERE2Fmfyek1bUJn1v24pRrM+NHOMIjIEJe9YmsWRph7O9QSP/8gLx86xPDeFuckJdosScVy9NIv280McaOy2W5SLvFbdRkpCDCvyUu0WJeQxisgQlLxjictL/eXq4FgX6OofYm9tJ9cum2u3KBHJO5bMRQSePzZWfOTAo6q8WtPGhmITb9AXGEVkCEpKclLISo4PmnWil0604lS4xigiW8hIiqOsII0XgkQRHW/ppbHrAtcsNc+DLzCKyBCUiAhXLc7ilepWHEGwLvDCsXNkJMWxKj/NblEilmuXzeVgY3dQTNc+d6QFwIyQfYRRRIag5R1Ls+jqH+ZAQ5etcjicyksnWrl6SZaZhrER92j0xSAwYnnu6DlW5acyN8WsF/oCo4gMQcuVi+Yggu3Tc1X1nXT2D5tpOZspyUlhXkoCLxy3d3qutXeQ/Q1dXHdJtq1yhBNGERmClnRrKszuL+Dnj50jOkq4aokJ828nIsI1y7J4pbrN1qgbLxw7hypcd4n5MPEVRhEZgpprls5lf0OXrWkAnj/Wypr56aQmxtomg8HFNUvn0jc4QsWZjskr+4nnjraQm5pASY5JE+8rbFFEIpIhIttFpNr6mz5OvS1WnWoR2eJRvsbKxFojIj+yUoYjIo+JSJX1OyMiVVZ5kYhc8Dj288D01DBTblyejSrsOGrPdExT9wWONvWYRekg4fJFc4iLjrLNjHtg2MEr1W1cd0m2SQPiQ+waEd0D7FDVxcAOa/8tiEgG8HXgMmAd8HUPhXU/8ElgsfXbBKCqH1DVUlUtBX4PPOnR5En3MVX9lJ/6ZfAxy+YlU5CRyLOHm225/gvHXNOCRhEFB0nxMVy2MMM2RfTGqXYuDDvMtJyPsUsRbQYetrYfBm4bo85NwHZV7VDVTmA7sElEcoAUVd2pqgr8evT51gjp/cAj/uqAITCICDeWzOO1mnb6BkcCfv1th5spzJhlsrEGETeWZHOq7TzVLb0Bv/aOoy3Miou+mDfL4BvsUkTZqtpkbTcDY5mf5AH1HvsNVlmetT263JMrgRZVrfYoWyAilSLykohcOZ5gInK3iFSISEVrq/1mogbXi2fI4eTFAFtLdfcP81pNGzevnGemYYKIm5bPQwSePhjYUbKqsuPoOa5cPMdE2/YxflNEIvKciBwa47fZs541qvG1x+KdvHU01AQUqmoZ8EXgtyIy5kqjqj6gquWqWp6VZaykgoHyogzmzI7n6YNNk1f2IduPtjDiVG5ZkRPQ6xomZm5KAmvnZ/DMocA+D/vqumjqHuCm5fMCet1IwG+KSFWvV9UVY/yeAlqsKTasv2N96jYCBR77+VZZo7U9uhyrvRjgPcBjHrIMqmq7tb0XOAks8UU/Df4nOkq4ZeU8nj92jvMBnJ575mATeWmJXJpvgloGGzevnMex5l5OtvYF7Jp/PnCWuJgobigx/kO+xq6pua2A2wpuC/DUGHW2ATeKSLplpHAjsM2a0usRkfXWWtBHR51/PXBMVS9O34lIlohEW9sLcRk4nPJ1pwz+412X5jIw7OS5oy0BuV73hWFeqW5j0wozLReMbFrhGpU8fSAwoyKnU3n6YBNXL8kiOcGY8fsauxTRt4EbRKQal+L4NoCIlIvILwFUtQP4FrDH+n3TKgP4DPBLoAbX6OYZj7bv4O1GClcBByxz7ieAT3m0ZQgByuenMy8lgT8H6MXzzMEmhhxONpfmBuR6hqmRk5rIugUZ/LGqEdfsvn/Zc6aDlp5B3rXKPA/+IMaOi1rTZNeNUV4BfMJj/yHgoXHqrRin7bvGKPs9LnNuQ4gSFSW889Ic/vuNWrr6h0ibFefX6z1Z2cjCrCRWmlwzQcu7y/K498mDHGrsYaWfp0+f2n+WhNgorjNm/H7BRFYwhAzvXZ3PkMPJn/af9et1Gjr72X26g/eU5ZlpuSDmlhU5xEVH8YfKxskrz4CBYQd/2n+WW1bkkBRvy7d72GMUkSFkKMlNoSQnhSf2NkxeeQY8VeVSdJtLR3sFGIKJ1FmxXLtsLlv3n2XY4b/Yc88eaaF3YITb1+RPXtkwLYwiMoQUt6/JZ39DNyf85MzodCqP7annsgUZFGTM8ss1DL7j9jX5tPUN+jUE1BN7G8hLSzROrH7EKCJDSLG5NJfYaOHR3fWTV54Gr51so66jnw9eVuiX9g2+5eqlWeSkJvDb3XV+ab++o59Xq1t57+o8okwuKr9hFJEhpMicHc/NK3L43d56+od871P0yO460mfFXjQPNgQ3MdFRvL+8gFeqW6nv6Pd5+7/Z5VJwd6wzHyb+xCgiQ8jx0Q3z6R0Y4Y+VvjVaaOkZ4NnDLdy+Jp/4GBPCJVS4Y10BwptKw1cMDDt4bE8dN5Rkk5uW6NO2DW/FKCJDyLFmfjqX5KTw6zfO+NSH5FevncGpykfWF/msTYP/yUlNZNOKefx2V61PA+P++UATnf3DbNlQ5LM2DWNjFJEh5BAR/nZjEceae3nRR2nE+wZH+M2uWm5ekUNhpjFSCDU+eeVCegZGeHyPb9YOnU7lFy+dZGl2MhuKjZGCvzGKyBCS3FaWR25qAj99vsYno6JHd9fROzDC3Vct9IF0hkBTVpjO2qJ0Hnz1tE9MuZ890kL1uT4+c02x8SULAEYRGUKSuJgo/u4dxVTUdrLr9MyiNZ0fHOH+F0+ysTiTVQVpPpLQEGg+fXUxjV0XeLxiZqMiVeWnL9QwP3MW71xpIq8HAqOIDCHLB9YWMDc5nu9tOz6jUdFDr56m/fwQX7ppqQ+lMwSaa5bOZc38dH60o5oLQ45pt/PMoWYONnbz2asXERNtXpGBwPwrG0KWhNhovnTjUvbWdk47GGp73yAPvHyKG0qyWV2YPvkJhqBFRPjyTUtp6RnkoddOT6uNgWEH//rMUZbNS+a9JpJCwDCKyBDSvHdNPiU5KXz7mWPTylX0rT8fYWDEwVc2mdFQOHDZwkxuKMnmx89XT8uv6MFXT1PfcYF/emcJ0caBNWAYRWQIaaKjhH/evJyz3Rf4f08fndK5L51o5Y9VZ/n01YtYNDfZTxIaAs0/37qcaBH+zx8OTmnK9lhzD//xXDWbls/jisVz/CihYTRGERlCnrVFGXzyyoX8ZlcdO7xMnNfcPcA/Pr6f4qwkPnN1sZ8lNASS3LREvnLzMl6pbuM/X/Eu/+XAsIN/eGw/KYkx3PfuMTPMGPyIUUSGsOAfb1xCSU4Kn3+kkkON3RPWvTDk4FP/s5cLQyPc/+E1JMSaKArhxkfWz+eWlfP49jPHeGkSXzOHU/n8I5Uca+7hu7dfSubs+ABJaXBjiyISkQwR2S4i1dbfMVeJRWSLVadaRLZ4lN8nIvUi0jeqfryIPCYiNSKyS0SKPI7da5UfF5Gb/NU3gz3Ex0Tz0F1rSZsVx12/2kNVfdeY9br7h/noQ7vY39DF99+/iiXZZkouHBERvne76/5+8tcVPHu4ecx6A8MOvvS7/Tx7pIWvvauEa5dlB1hSA9g3IroH2KGqi4Ed1v5bEJEM4OvAZcA64OseCutPVtloPg50quoi4IfAd6y2SnClEF8ObAJ+JiLmMzjMmJeawMMfW0dCbBTv//kb/GhHNZ3nhwAYGnHylwNN3PKjV6iq7+LHd5axaYXxEQlnkuJjeOST67kkJ4VP/c9e/umPB2nuHgBcvkIvn2jlvfe/zh8qG/nHG5bwt5cvsFniyEUCke/9bRcVOQ5crapNIpIDvKiqS0fVudOq83fW/i+seo941OlT1dke+9uAb6jqGyISAzQDWViKTlX/dXS9ieQsLy/XiooKH/TYEEi6+of4yu8PsO1wC9FRQtbseDr7hxgccbJsXjL/ctsKyosy7BbTECDOD47wvW3H+e+dtTicyryUBPoGR+gbHGFucjz/+p6VXHeJGQn5EhHZq6rl3ta3K+9ttqq6HT+agbGegjzA00W6wSqbiIvnqOqIiHQDmVb5Tm/aEpG7gbsBCgtN6PdQJG1WHL/4SDnHm3v5y4GzNHYNkJoYy/qFGVy7bK5xUowwkuJj+Maty/nohvnsOHqOI009pCbGUlqQxi0rc4iLMc+D3fhNEYnIc8BYSV2+6rmjLnkCHgAACA5JREFUqioigR+WjYOqPgA8AK4Rkc3iGGbA0nnJLJ1n/IMMLhZmzWZh1uzJKxoCjt8UkapeP94xEWkRkRyPqbmx8vw2Ald77OcDL05y2UagAGiwpuZSgXaPcs+2Gifrg8FgMBj8j11j0q2A2wpuC/DUGHW2ATeKSLplpHCjVeZtu7cDz6trEWwrcIdlVbcAWAzsnmEfDAaDweAD7FJE3wZuEJFq4HprHxEpF5FfAqhqB/AtYI/1+6ZVhoh8V0QagFki0iAi37DafRDIFJEa4Iu8aaRwGHgcOAL8Ffisqk4/KqLBYDAYfIYtVnOhgrGaMxgMhqkzVas5Yy5iMBgMBlsxishgMBgMtmIUkcFgMBhsxSgig8FgMNiKMVaYABFpBWpn0MQcoM1H4oQKps+RgelzZDDdPs9X1SxvKxtF5EdEpGIqliPhgOlzZGD6HBkEqs9mas5gMBgMtmIUkcFgMBhsxSgi//KA3QLYgOlzZGD6HBkEpM9mjchgMBgMtmJGRAaDwWCwFaOIDAaDwWArRhH5ARHZJCLHRaRGRO6xW56pIiIFIvKCiBwRkcMi8gWrPENEtotItfU33SoXEfmR1d8DIrLao60tVv1qEdniUb5GRA5a5/xIRCTwPX07IhItIpUi8mdrf4GI7LLkfExE4qzyeGu/xjpe5NHGvVb5cRG5yaM86J4LEUkTkSdE5JiIHBWRDeF+n0XkH6zn+pCIPCIiCeF4n0XkIRE5JyKHPMr8fm/Hu8aEqKr5+fAHRAMngYVAHLAfKLFbrin2IQdYbW0nAyeAEuC7wD1W+T3Ad6ztW4BnAAHWA7us8gzglPU33dpOt47ttuqKde7NdvfbkuuLwG+BP1v7jwN3WNs/Bz5tbX8G+Lm1fQfwmLVdYt3zeGCB9SxEB+tzATwMfMLajgPSwvk+A3nAaSDR4/7eFY73GbgKWA0c8ijz+70d7xoTymr3f4Rw+wEbgG0e+/cC99ot1wz79BRwA3AcyLHKcoDj1vYvgDs96h+3jt8J/MKj/BdWWQ5wzKP8LfVs7Gc+sAO4Fviz9R+sDYgZfW9xJWncYG3HWPVk9P121wvG5wJXBuPTWEZLo+9fON5nXIqo3nqxxlj3+aZwvc9AEW9VRH6/t+NdY6KfmZrzPe4H3U2DVRaSWFMRZcAuIFtVm6xDzUC2tT1enycqbxij3G7+Hfgy4LT2M4EuVR2x9j3lvNg363i3VX+q/xZ2sgBoBX5lTUf+UkSSCOP7rKqNwL8BdUATrvu2l/C+z54E4t6Od41xMYrIMC4iMhv4PfD3qtrjeUxdnzthY/svIu8CzqnqXrtlCSAxuKZu7lfVMuA8VlZjN2F4n9OBzbiUcC6QBGyyVSibCMS99fYaRhH5nkagwGM/3yoLKUQkFpcS+o2qPmkVt4hIjnU8BzhnlY/X54nK88cot5PLgVtF5AzwKK7puf8A0kQkxqrjKefFvlnHU4F2pv5vYScNQIOq7rL2n8ClmML5Pl8PnFbVVlUdBp7Ede/D+T57Eoh7O941xsUoIt+zB1hsWeHE4Vrg3GqzTFPCsn55EDiqqj/wOLQVcFvNbMG1duQu/6hlebMe6LaG5tuAG0Uk3foSvRHX/HkT0CMi661rfdSjLVtQ1XtVNV9Vi3Dds+dV9UPAC8DtVrXRfXb/W9xu1Ver/A7L2moBsBjXom7QPReq2gzUi8hSq+g64AhhfJ9xTcmtF5FZlkzuPoftfR5FIO7teNcYH7sW0cL5h8sC5QQu65mv2i3PNOS/Atdw+gBQZf1uwTU3vgOoBp4DMqz6AvzU6u9BoNyjrY8BNdbvbz3Ky4FD1jk/YdSCuc39v5o3reYW8v/bu3vQKIIwjOP/h0hyKhELCwWJoBItDIiQKlGxsRHrICKIdnZiYWFlIQQEQSwVCVikCISA2phCEtCIkZhoCoVUNqIiEUQFP3gtZiAnJlFkzSzh+cEVu7M7e8sc9zK7M++kP5g5YAhoy/sbeXsul29vOv9Cvq+XNI0Sq+PvAtgLPMltPUIaGbWq2xm4CLzI3+sWaeTbqmtnYJD0Huwbqfd7eiXadqlrLPdxih8zMyvKj+bMzKwoByIzMyvKgcjMzIpyIDIzs6IciMzMrCgHIrNClDJfn1mmfK2kMUktFV2vS9JAFXWZVcmByKycjaTszks5BQxHxI8qLhYRz4GtkjqqqM+sKg5EZuX0AzskTUu6vEj5cfKsdElbJI3nY2cl7c/7D0uakDQlaSjnB0RSt6SHkmYkPZbUnuu8TZrtb1YbntBqVkjObH4nIvYsUtYKvIqIzXn7HNCIiEv5Ud06UkaAYdKs/k+Szud9/aTMAX0RMSlpA/A5Ir5L6iGtFXN0BW7R7K+s+fMhZlbAJuBD0/YkcDMnox2JiGlJB0kLtD3Ii2O2AhPALuB1REwCxK+Z09+Ssk6b1YYDkVk9fSHlOQMgIsYlHQCOAAOSrgDzwGhEHGs+UVLXMvU2ct1mteF3RGblfCQtxf6biJgHWiQ1ACRtA95ExHXgBmm5hkdAj6Sd+Zj1kjrJK2RK6s7725uWOOgkJao0qw0HIrNCIuI96bHa7BKDFe6RMqFDygg+I+kp0AdcjYh3wElgUNIz0mO53RHxNR9zTdIMMMpC7+oQcPc/3ZLZP/FgBbOakrQPOBsRJyqqrw0YA3pjYVlss+LcIzKrqYiYAu5XNaEV6CCNmHMQslpxj8jMzIpyj8jMzIpyIDIzs6IciMzMrCgHIjMzK8qByMzMivoJGy2hsvGkv64AAAAASUVORK5CYII=\n", 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", "text/plain": [ "
" ] @@ -341,7 +341,7 @@ "source": [ "def update_forcings(t_new):\n", " \"\"\"Callback function that updates all time dependent forcing fields\"\"\"\n", - " uv, elev = solver_obj.fields.solution_2d.split()\n", + " uv, elev = solver_obj.fields.solution_2d.subfunctions\n", " tide_elev_const.assign(tidal_elevation(t_new))" ] }, @@ -482,7 +482,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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" ] @@ -515,7 +515,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", 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" ] @@ -553,7 +553,7 @@ "outputs": [ { "data": { - "image/png": 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+ "image/png": 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" ] @@ -565,7 +565,7 @@ }, { "data": { - "image/png": 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" ] @@ -625,7 +625,7 @@ }, { "data": { - "image/png": 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" ] @@ -649,7 +649,7 @@ }, { "data": { - "image/png": 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" ] @@ -661,7 +661,7 @@ }, { "data": { - "image/png": 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" ] @@ -673,7 +673,7 @@ }, { "data": { - "image/png": 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" ] @@ -685,7 +685,7 @@ }, { "data": { - "image/png": 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" ] @@ -709,7 +709,7 @@ }, { "data": { - "image/png": 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" ] @@ -745,7 +745,7 @@ }, { "data": { - "image/png": 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lPz9YYvoVoFX1No/TBLyL9mnJjwOPlul6+1/9p1ViZ/9rwAT8LPDtEqcngT9e7T0HpsvjQ2X52043rk5Djd+9pf89Cfwzb47M7L6zhhPwi7w56nJlfS/KkyRJkiRJGgt1PXVZkiRJkqTTYqIrSZIkSRorJrqSJEmSpLFioitJkiRJGismupIkSZKksWKiK0mSJEkaKya6kiRJkqSx8v/WCQX5EsGaSgAAAABJRU5ErkJggg==\n", 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" ] @@ -781,7 +781,7 @@ }, { "data": { - "image/png": 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" ] @@ -805,7 +805,7 @@ }, { "data": { - "image/png": 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" ] @@ -817,7 +817,7 @@ }, { "data": { - "image/png": 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" ] @@ -829,7 +829,7 @@ }, { "data": { - "image/png": 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" ] @@ -841,7 +841,7 @@ }, { "data": { - "image/png": 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" ] @@ -853,7 +853,7 @@ }, { "data": { - "image/png": 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" ] @@ -877,7 +877,7 @@ }, { "data": { - "image/png": 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" ] @@ -889,7 +889,7 @@ }, { "data": { - "image/png": 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" ] @@ -901,7 +901,7 @@ }, { "data": { - "image/png": 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" ] @@ -925,7 +925,7 @@ }, { "data": { - "image/png": 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" ] @@ -937,7 +937,7 @@ }, { "data": { - "image/png": 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" ] @@ -1076,7 +1076,7 @@ "\n", "def update_forcings(t_new):\n", " \"\"\"Callback function that updates all time dependent forcing fields\"\"\"\n", - " uv, elev = solver_obj.fields.solution_2d.split()\n", + " uv, elev = solver_obj.fields.solution_2d.subfunctions\n", " tide_elev_const.assign(tidal_elevation(t_new))\n", "\n", "solver_obj.iterate(update_forcings=update_forcings)" diff --git a/test/swe2d/test_anisotropic.py b/test/swe2d/test_anisotropic.py index ac1b6e549..9a83c8be3 100644 --- a/test/swe2d/test_anisotropic.py +++ b/test/swe2d/test_anisotropic.py @@ -190,8 +190,8 @@ def estimate_error(mesh, **model_options): # Plot if not model_options.get("no_exports", False): - File("outputs/forward.pvd").write(*f0.split()) - a0u, a0eta = a0.split() + File("outputs/forward.pvd").write(*f0.subfunctions) + a0u, a0eta = a0.subfunctions a0u.rename("uv_2d (adjoint)") a0eta.rename("elev_2d (adjoint)") File("outputs/adjoint.pvd").write(a0u, a0eta) diff --git a/test/swe2d/test_atmospheric_pressure.py b/test/swe2d/test_atmospheric_pressure.py index a0cef3037..65e5eb00b 100644 --- a/test/swe2d/test_atmospheric_pressure.py +++ b/test/swe2d/test_atmospheric_pressure.py @@ -84,7 +84,7 @@ def test_pressure_forcing(element_family, timestepper): solverObj.assign_initial_conditions(uv=Constant((1e-7, 0.))) solverObj.iterate() - uv, eta = solverObj.fields.solution_2d.split() + uv, eta = solverObj.fields.solution_2d.subfunctions eta_ana = project(eta_expr, solverObj.function_spaces.H_2d) eta_errs.append(errornorm(eta_ana, eta)/numpy.sqrt(area)) diff --git a/test/swe2d/test_standing_wave.py b/test/swe2d/test_standing_wave.py index 725c3e703..a707cf558 100644 --- a/test/swe2d/test_standing_wave.py +++ b/test/swe2d/test_standing_wave.py @@ -89,7 +89,7 @@ def test_standing_wave_channel(timesteps, max_rel_err, timestepper, tmpdir, do_e solver_obj.iterate() - uv, eta = solver_obj.fields.solution_2d.split() + uv, eta = solver_obj.fields.solution_2d.subfunctions area = lx*ly rel_err = errornorm(elev_init, eta)/math.sqrt(area) diff --git a/test/swe2d/test_steady_state_basin_mms.py b/test/swe2d/test_steady_state_basin_mms.py index ec466751f..7840b03bd 100644 --- a/test/swe2d/test_steady_state_basin_mms.py +++ b/test/swe2d/test_steady_state_basin_mms.py @@ -249,8 +249,8 @@ def run(setup, refinement, order, do_export=True, options=None, solver_obj.iterate() - elev_l2_err = errornorm(elev_ana_ho, solver_obj.fields.solution_2d.split()[1])/numpy.sqrt(area) - uv_l2_err = errornorm(uv_ana_ho, solver_obj.fields.solution_2d.split()[0])/numpy.sqrt(area) + elev_l2_err = errornorm(elev_ana_ho, solver_obj.fields.solution_2d.subfunctions[1])/numpy.sqrt(area) + uv_l2_err = errornorm(uv_ana_ho, solver_obj.fields.solution_2d.subfunctions[0])/numpy.sqrt(area) print_output('elev L2 error {:.12f}'.format(elev_l2_err)) print_output('uv L2 error {:.12f}'.format(uv_l2_err)) return elev_l2_err, uv_l2_err diff --git a/test/swe2d/test_steady_state_channel.py b/test/swe2d/test_steady_state_channel.py index 776c1967c..29daca10f 100644 --- a/test/swe2d/test_steady_state_channel.py +++ b/test/swe2d/test_steady_state_channel.py @@ -55,7 +55,7 @@ def test_steady_state_channel(do_export=False): solver_obj.iterate() - uv, eta = solver_obj.fields.solution_2d.split() + uv, eta = solver_obj.fields.solution_2d.subfunctions x_2d, y_2d = SpatialCoordinate(mesh2d) eta_ana = interpolate(1 - x_2d/lx, p1_2d) diff --git a/test/swe2d/test_steady_state_channel_mms.py b/test/swe2d/test_steady_state_channel_mms.py index 5a32067d1..f2aa3da4b 100644 --- a/test/swe2d/test_steady_state_channel_mms.py +++ b/test/swe2d/test_steady_state_channel_mms.py @@ -90,7 +90,7 @@ def test_steady_state_channel_mms(element_family, do_exports=False): File('source_{}.pvd'.format(i)).write(source_func) solver_obj.iterate() - uv, eta = solver_obj.fields.solution_2d.split() + uv, eta = solver_obj.fields.solution_2d.subfunctions eta_ana = project(eta_expr, solver_obj.function_spaces.H_2d) if do_exports: diff --git a/test/swe2d/test_thacker.py b/test/swe2d/test_thacker.py index d5d079828..58746154b 100644 --- a/test/swe2d/test_thacker.py +++ b/test/swe2d/test_thacker.py @@ -74,7 +74,7 @@ def test_thacker(stepper, n, dt, max_err): # run for one cycle solverObj.iterate() - uv, eta = solverObj.fields.solution_2d.split() + uv, eta = solverObj.fields.solution_2d.subfunctions # mask out dry areas with a smooth function r = sqrt((x-X0)**2 + (y-Y0)**2) diff --git a/test/time_integration/test_convergence_ode.py b/test/time_integration/test_convergence_ode.py index 1f2cf8f8b..44fa243b3 100644 --- a/test/time_integration/test_convergence_ode.py +++ b/test/time_integration/test_convergence_ode.py @@ -63,7 +63,7 @@ class SimpleODEEquation(Equation): """ def __init__(self, function_space, alpha, mode='explicit'): super(SimpleODEEquation, self).__init__(function_space) - self.a_space, self.b_space = function_space.split() + self.a_space, self.b_space = function_space.subfunctions self.a_test, self.b_test = TestFunctions(function_space) self.alpha = alpha if mode == 'imex': @@ -134,7 +134,7 @@ def run(timeintegrator_class, timeintegrator_options, refinement=1): ti = timeintegrator_class(equation, solution, fields, dt, timeintegrator_options(), {}) ti.initialize(solution) simulation_time = 0 - sol_a, sol_b = solution.split() + sol_a, sol_b = solution.subfunctions values[0, :] = sol_a.dat.data[0], sol_b.dat.data[0] for i in range(ntimesteps): simulation_time = (i+1)*dt diff --git a/thetis/assembledschur.py b/thetis/assembledschur.py index a5d9ed52d..dabdb3676 100644 --- a/thetis/assembledschur.py +++ b/thetis/assembledschur.py @@ -29,7 +29,7 @@ def initialize(self, pc): test, trial = a.arguments() W = test.function_space() - V, Q = W.split() + V, Q = W.subfunctions v = TestFunction(V) u = TrialFunction(V) mass = dot(v, u)*dx diff --git a/thetis/diagnostics.py b/thetis/diagnostics.py index 5ec227243..034014329 100644 --- a/thetis/diagnostics.py +++ b/thetis/diagnostics.py @@ -130,7 +130,7 @@ def __init__(self, field_2d, hessian_2d, gradient_2d=None, **kwargs): g, H = TrialFunctions(W) phi, tau = TestFunctions(W) sol = Function(W) - self._gradient, self._hessian = sol.split() + self._gradient, self._hessian = sol.subfunctions # The formulation is chosen such that f does not need to have any # finite element derivatives diff --git a/thetis/options.py b/thetis/options.py index dfbdd2113..125857f91 100644 --- a/thetis/options.py +++ b/thetis/options.py @@ -992,7 +992,7 @@ def add_tracer_system_2d(self, labels, names, filenames, shortnames=None, units= kwargs[label]['mixed'] = True self.tracer_fields[','.join(labels)] = function if function is not None: - for label, child in zip(labels, function.split()): + for label, child in zip(labels, function.subfunctions): kwargs[label]['function'] = child for label, name, filename, shortname, unit in zip(labels, names, filenames, shortnames, units): self.add_tracer_2d(label, name, filename, shortname=shortname, unit=unit, **kwargs[label]) diff --git a/thetis/shallowwater_eq.py b/thetis/shallowwater_eq.py index fcc5ed27b..0925ec083 100644 --- a/thetis/shallowwater_eq.py +++ b/thetis/shallowwater_eq.py @@ -906,7 +906,7 @@ def __init__(self, function_space, depth, options, tidal_farms=None): super(ShallowWaterEquations, self).__init__(function_space, depth, options) u_test, eta_test = TestFunctions(function_space) - u_space, eta_space = function_space.split() + u_space, eta_space = function_space.subfunctions self.add_momentum_terms(u_test, u_space, eta_space, depth, options, tidal_farms=tidal_farms) @@ -945,7 +945,7 @@ def __init__(self, function_space, depth, options): super(ModeSplit2DEquations, self).__init__(function_space, depth, options) u_test, eta_test = TestFunctions(function_space) - u_space, eta_space = function_space.split() + u_space, eta_space = function_space.subfunctions self.add_momentum_terms(u_test, u_space, eta_space, depth, options) diff --git a/thetis/solver.py b/thetis/solver.py index 5937f01d7..23152b64e 100644 --- a/thetis/solver.py +++ b/thetis/solver.py @@ -492,7 +492,7 @@ def create_fields(self): # ----- fields self.fields.solution_2d = Function(self.function_spaces.V_2d) # correct treatment of the split 2d functions - uv_2d, eta2d = self.fields.solution_2d.split() + uv_2d, eta2d = self.fields.solution_2d.subfunctions self.fields.uv_2d = uv_2d self.fields.elev_2d = eta2d # elevation field seen by the 3D mode, different from elev_2d diff --git a/thetis/solver2d.py b/thetis/solver2d.py index 70e2f0eb0..5516931c0 100644 --- a/thetis/solver2d.py +++ b/thetis/solver2d.py @@ -408,7 +408,7 @@ def create_fields(self): # Add fields for shallow water modelling self.fields.solution_2d = Function(self.function_spaces.V_2d, name='solution_2d') - uv_2d, elev_2d = self.fields.solution_2d.split() # correct treatment of the split 2d functions + uv_2d, elev_2d = self.fields.solution_2d.subfunctions # correct treatment of the split 2d functions self.fields.uv_2d = uv_2d self.fields.elev_2d = elev_2d @@ -424,7 +424,7 @@ def create_fields(self): if num_labels > 1: self.fields[system] = parent self.options.tracer_fields[system] = parent - children = [parent] if num_labels == 1 else parent.split() + children = [parent] if num_labels == 1 else parent.subfunctions for label, function in zip(labels, children): tracer = self.options.tracer[label] function.rename(label) @@ -480,7 +480,7 @@ def create_equations(self): tidal_farms=self.tidal_farms ) self.equations.sw.bnd_functions = self.bnd_functions['shallow_water'] - uv_2d, elev_2d = self.fields.solution_2d.split() + uv_2d, elev_2d = self.fields.solution_2d.subfunctions # Passive tracer equations for system, parent in self.options.tracer_fields.items(): @@ -566,7 +566,7 @@ def get_tracer_timestepper(self, integrator, system): """ Gets tracer timestepper object with appropriate parameters """ - uv, elev = self.fields.solution_2d.split() + uv, elev = self.fields.solution_2d.subfunctions fields = { 'elev_2d': elev, 'uv_2d': uv, @@ -591,7 +591,7 @@ def get_sediment_timestepper(self, integrator): """ Gets sediment timestepper object with appropriate parameters """ - uv, elev = self.fields.solution_2d.split() + uv, elev = self.fields.solution_2d.subfunctions fields = { 'elev_2d': elev, 'uv_2d': uv, @@ -608,7 +608,7 @@ def get_exner_timestepper(self, integrator): """ Gets exner timestepper object with appropriate parameters """ - uv, elev = self.fields.solution_2d.split() + uv, elev = self.fields.solution_2d.subfunctions if not self.options.sediment_model_options.solve_suspended_sediment: self.fields.sediment_2d = Function(elev.function_space()).interpolate(Constant(0.0)) fields = { @@ -746,7 +746,7 @@ def assign_initial_conditions(self, elev=None, uv=None, sediment=None, **tracers """ if not self._initialized: self.initialize() - uv_2d, elev_2d = self.fields.solution_2d.split() + uv_2d, elev_2d = self.fields.solution_2d.subfunctions if elev is not None: elev_2d.project(elev) if uv is not None: @@ -912,8 +912,8 @@ def print_state(self, cputime, print_header=False): e = (label, norm_q, '10.4f') entries.append(e) else: - norm_h = norm(self.fields.solution_2d.split()[1]) - norm_u = norm(self.fields.solution_2d.split()[0]) + norm_h = norm(self.fields.solution_2d.subfunctions[1]) + norm_u = norm(self.fields.solution_2d.subfunctions[0]) entries += [ ('eta norm', norm_h, '14.4f'), ('u norm', norm_u, '14.4f'), diff --git a/thetis/timeintegrator.py b/thetis/timeintegrator.py index 8401a845a..9348ac66c 100644 --- a/thetis/timeintegrator.py +++ b/thetis/timeintegrator.py @@ -352,8 +352,8 @@ def __init__(self, equation, equation_mom, solution, fields, dt, options, bnd_co self.solution_lagged = Function(self.equation.function_space) else: self.solution_lagged = self.solution_old - uv_lagged, eta_lagged = self.solution_lagged.split() - uv_old, eta_old = self.solution_old.split() + uv_lagged, eta_lagged = self.solution_lagged.subfunctions + uv_old, eta_old = self.solution_old.subfunctions if (solver_parameters['ksp_type'] == 'preonly' and 'fieldsplit_H_2d' in solver_parameters