{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "This notebook sets up and runs a set of benchmarks to compare\n",
    "different numerical discretizations of the SWEs\n",
    "\n",
    "Copyright (C) 2016  SINTEF ICT\n",
    "\n",
    "This program is free software: you can redistribute it and/or modify\n",
    "it under the terms of the GNU General Public License as published by\n",
    "the Free Software Foundation, either version 3 of the License, or\n",
    "(at your option) any later version.\n",
    "\n",
    "This program is distributed in the hope that it will be useful,\n",
    "but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
    "MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
    "GNU General Public License for more details.\n",
    "\n",
    "You should have received a copy of the GNU General Public License\n",
    "along with this program.  If not, see <http://www.gnu.org/licenses/>.\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Lets have matplotlib \"inline\"\n",
    "%matplotlib inline\n",
    "\n",
    "#Import packages we need\n",
    "import numpy as np\n",
    "from matplotlib import animation, rc\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib import gridspec\n",
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
    "#import mpld3\n",
    "\n",
    "import subprocess\n",
    "import socket\n",
    "import time\n",
    "import os\n",
    "import gc\n",
    "import datetime\n",
    "import logging\n",
    "\n",
    "import pycuda.driver as cuda\n",
    "\n",
    "try:\n",
    "    from StringIO import StringIO\n",
    "except ImportError:\n",
    "    from io import StringIO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Finally, import our simulator\n",
    "from GPUSimulators import Common, LxF, FORCE, HLL, HLL2, KP07, KP07_dimsplit, WAF, IPythonMagic\n",
    "from GPUSimulators.helpers import InitialConditions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Console logger using level INFO\n",
      "File logger using level DEBUG to output.log\n",
      "Python version 3.6.7 |Anaconda custom (64-bit)| (default, Oct 28 2018, 19:44:12) [MSC v.1915 64 bit (AMD64)]\n",
      "Registering cuda_context in user workspace\n",
      "PyCUDA version 2018.1.1\n",
      "CUDA version (10, 0, 0)\n",
      "Driver version 10000\n",
      "Using 'GeForce 840M' GPU\n",
      "Created context handle <932243967856>\n",
      "Using CUDA cache dir c:\\Users\\anbro\\Documents\\projects\\GPUSimulators\\GPUSimulators\\cuda_cache\n",
      "Autotuning enabled. It may take several minutes to run the code the first time: have patience\n"
     ]
    }
   ],
   "source": [
    "%setup_logging\n",
    "%cuda_context_handler cuda_context"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Misc plotting setup\n",
    "def setBwStyles(ax):\n",
    "    from cycler import cycler\n",
    "\n",
    "    ax.set_prop_cycle( cycler('marker', ['.', 'x', 4, '+', '*', '1', 5]) +\n",
    "                       cycler('linestyle', ['-.', '--', ':', '-.', '--', ':', '-.']) +\n",
    "                       #cycler('markersize', [5, 5, 5, 5, 5, 5]) +\n",
    "                       cycler('color', ['k', 'k', 'k', 'k', 'k', 'k', 'k']) )    \n",
    "\n",
    "#Set large figure sizes\n",
    "plt.rcParams['figure.figsize'] = [12, 8]\n",
    "plt.rcParams['figure.dpi'] = 100\n",
    "plt.rcParams['animation.html'] = 'html5'\n",
    "#plt.rcParams['legend.markerscale'] = 1.0\n",
    "#plt.rcParams['lines.markersize'] = 6\n",
    "plt.rcParams['lines.markeredgewidth'] = 1.5\n",
    "#plt.rcParams['savefig.dpi'] = 400"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def save_figure(fig, stem):\n",
    "    if (not os.path.isdir(\"figures\")):\n",
    "        os.mkdir(\"figures\")\n",
    "    \n",
    "    fig_filename = os.path.join(\"figures\", \"convergence_smooth2d_\" + stem + \".pdf\")\n",
    "    \n",
    "    metadata = {\n",
    "        'created': time.strftime(\"%Y_%m_%d-%H_%M_%S\"),\n",
    "        'hostname': socket.gethostname()\n",
    "    }\n",
    "        \n",
    "    legend = fig.gca().legend_\n",
    "    if (legend != None):\n",
    "        fig.savefig(fig_filename, dpi=300,format='pdf',\n",
    "                transparent=True, pad_inches=0.0, frameon=None, \n",
    "                metadata=metadata, \n",
    "                bbox_extra_artists=(legend, ), bbox_inches='tight')\n",
    "    else:\n",
    "        fig.savefig(fig_filename, dpi=300,format='pdf',\n",
    "                transparent=True, pad_inches=0.0, frameon=None, \n",
    "                metadata=metadata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1200x800 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nx=100\n",
    "ref_nx=1000\n",
    "ny=500\n",
    "ref_ny=500\n",
    "width = 50\n",
    "height = width\n",
    "bump_size = 10\n",
    "h, hu, hv, dx, dy = InitialConditions.bump(nx=nx, ny=ny, ref_nx=ref_nx, ref_ny=ref_ny, width=width, height=height, bump_size=bump_size)\n",
    "\n",
    "plt.figure()\n",
    "ax=plt.subplot(1,3,1)\n",
    "im=plt.imshow(h, extent=[0, nx*dx, 0, ny*dy])\n",
    "plt.colorbar(orientation='horizontal')\n",
    "\n",
    "ax=plt.subplot(1,3,2)\n",
    "im=plt.imshow(hu, extent=[0, nx*dx, 0, ny*dy])\n",
    "plt.colorbar(orientation='horizontal')\n",
    "\n",
    "ax=plt.subplot(1,3,3)\n",
    "im=plt.imshow(hv, extent=[0, nx*dx, 0, ny*dy])\n",
    "plt.colorbar(orientation='horizontal')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gen_filename(simulator, nx):\n",
    "    return os.path.abspath(os.path.join(\"data\", \"smooth2d\", str(simulator.__name__) + \"_\" + str(nx) + \".npz\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def run_benchmark(datafilename, simulator, simulator_args, nx, reference_nx, ny, reference_ny,\n",
    "                  h_ref=0.5, h_amp=0.1, u_ref=0.0, u_amp=0.1, v_ref=0.0, v_amp=0.1,\n",
    "                  dt=None, force_rerun=False, transpose=False):\n",
    "\n",
    "    if (datafilename and os.path.isfile(datafilename) and force_rerun == False):\n",
    "        print(\"WARNING: Existing simulation exists, skipping simulation\")\n",
    "        return [0, 0, 0]\n",
    "    else:\n",
    "        test_data_args= {\n",
    "            'nx': nx,\n",
    "            'ny': ny,\n",
    "            'width': 100,\n",
    "            'height': 100,\n",
    "            'bump_size': 20,\n",
    "            'ref_nx': reference_nx,\n",
    "            'ref_ny': reference_ny,\n",
    "            'h_ref': h_ref, 'h_amp': h_amp,\n",
    "            'u_ref': u_ref, 'u_amp': u_amp,\n",
    "            'v_ref': v_ref, 'v_amp': v_amp\n",
    "        }\n",
    "        h0, hu0, hv0, dx, dy = InitialConditions.bump(**test_data_args)\n",
    "\n",
    "        #Initialize simulator\n",
    "        with Common.Timer(simulator.__name__ + \"_\" + str(nx)) as timer:\n",
    "            if (transpose):\n",
    "                h0 = np.ascontiguousarray(np.transpose(h0))\n",
    "                hu0, hv0 = np.ascontiguousarray(np.transpose(hv0)), np.ascontiguousarray(np.transpose(hu0))\n",
    "                dx, dy = dy, dx\n",
    "                nx, ny = ny, nx\n",
    "                \n",
    "            sim_args = {\n",
    "                'h0': h0, 'hu0': hu0, 'hv0': hv0,\n",
    "                'nx': nx, 'ny': ny,\n",
    "                'dx': dx, 'dy': dy\n",
    "            }\n",
    "            sim_args.update(simulator_args)\n",
    "\n",
    "            sim = simulator(**sim_args)\n",
    "            sim.simulate(1.0, dt=dt)\n",
    "            sim.check()\n",
    "            \n",
    "            nt = sim.simSteps()\n",
    "            dt = sim.simTime() / nt\n",
    "            h, hu, hv = sim.download()\n",
    "            \n",
    "            if (transpose):\n",
    "                h = np.ascontiguousarray(np.transpose(h))\n",
    "                hu, hv = np.ascontiguousarray(np.transpose(hv)), np.ascontiguousarray(np.transpose(hu))\n",
    "            \n",
    "\n",
    "            if (datafilename):\n",
    "                dirname = os.path.dirname(datafilename)\n",
    "                if (dirname and not os.path.isdir(dirname)):\n",
    "                    os.makedirs(dirname)\n",
    "                np.savez_compressed(datafilename, h=h, hu=hu, hv=hv)\n",
    "        \n",
    "    gc.collect() # Force run garbage collection to free up memory\n",
    "    \n",
    "    return [timer.secs, nt, dt]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(100, 50) =downsample=> (25, 25)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "3473"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datafilename = \"temp_data.npz\"\n",
    "\n",
    "sim_args = {\n",
    "    'context': cuda_context,\n",
    "    'cfl_scale': 0.9,\n",
    "    'g': 9.81\n",
    "}\n",
    "\n",
    "\n",
    "elapsed, nt, dt = run_benchmark(datafilename, \n",
    "                    KP07.KP07, \n",
    "                    sim_args,\n",
    "                    nx=50, reference_nx=500, ny=100, reference_ny=200,\n",
    "                    #dt=0.25*0.7*(width/nx)/(u_ref+u_amp + np.sqrt(g*(h_ref+h_amp))),\n",
    "                    force_rerun=True,\n",
    "                    transpose=False)\n",
    "\n",
    "with np.load(datafilename) as data:\n",
    "    h = data['h']\n",
    "    rh = InitialConditions.downsample(h, 2, 4)\n",
    "    \n",
    "    print(str(h.shape) + \" =downsample=> \" + str(rh.shape))\n",
    "\n",
    "    plt.figure()\n",
    "    plt.imshow(rh, extent=[0, 100, 0, 100])\n",
    "    plt.colorbar()\n",
    "    plt.show()\n",
    "    \n",
    "gc.collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Completed warmup in 0.92 s\n",
      "Completed simulation (LxF) in 8.37 s\n",
      "Completed simulation (FORCE) in 9.72 s\n",
      "Completed simulation (HLL) in 8.83 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "HLL2 [2048x2048]: 0% [##########################====] 100%. Total: 9s, elapsed: 8s, remaining: 1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Completed simulation (HLL2) in 16.28 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WAF [2048x2048]: 0% [##########################====] 100%. Total: 8s, elapsed: 7s, remaining: 1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Completed simulation (WAF) in 15.25 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "KP07 [2048x2048]: 0% [#############=================] 100%. Total: 16s, elapsed: 7s, remaining: 8s\n",
      "KP07 [2048x2048]: 0% [##########################====] 100%. Total: 16s, elapsed: 14s, remaining: 2s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Completed simulation (KP07) in 23.88 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "KP07_dimsplit [2048x2048]: 0% [##########################====] 100%. Total: 8s, elapsed: 7s, remaining: 1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Completed simulation (KP07_dimsplit) in 15.61 s\n",
      "Completed simulation in 97.95 s\n"
     ]
    }
   ],
   "source": [
    "reference_nx = 2048\n",
    "force_rerun=True\n",
    "transpose=True\n",
    "domain_sizes = [8, 16, 32, 64, 128, 256, 512, 1024]\n",
    "simulators = [LxF.LxF, FORCE.FORCE, HLL.HLL, HLL2.HLL2, WAF.WAF, KP07.KP07, KP07_dimsplit.KP07_dimsplit]\n",
    "\n",
    "\n",
    "\n",
    "sim_elapsed_time = np.zeros((len(simulators), len(domain_sizes)))\n",
    "sim_dt = np.zeros((len(simulators), len(domain_sizes)))\n",
    "sim_nt = np.zeros((len(simulators), len(domain_sizes)))\n",
    "\n",
    "#Warmup to compile kernels\n",
    "with Common.Timer(\"warmup\") as timer:\n",
    "    for i in range(len(simulators)):\n",
    "        run_benchmark(datafilename=None, \n",
    "                    simulator=simulators[i],\n",
    "                    simulator_args=sim_args,\n",
    "                    nx=16, reference_nx=16, ny=16, reference_ny=16,\n",
    "                    #dt=0.25*0.7*(width/nx)/(u_ref+u_amp + np.sqrt(g*(h_ref+h_amp))),\n",
    "                    force_rerun=force_rerun,\n",
    "                    transpose=transpose)\n",
    "print(\"Completed warmup in {:.2f} s\".format(timer.secs))\n",
    "    \n",
    "with Common.Timer(\"simulation\") as timer:\n",
    "    for i in range(len(simulators)):\n",
    "        with Common.Timer(simulators[i].__name__) as sim_timer:\n",
    "            # Run the simulation for all the domain sizes\n",
    "            for j, nx in enumerate(domain_sizes):\n",
    "                datafilename = gen_filename(simulators[i], nx)\n",
    "                secs, nt, dt = run_benchmark(datafilename=datafilename, \n",
    "                    simulator=simulators[i],\n",
    "                    simulator_args=sim_args,\n",
    "                    nx=nx, ny=nx, reference_nx=reference_nx, reference_ny=reference_nx,\n",
    "                    #dt=0.25*0.7*(width/nx)/(u_ref+u_amp + np.sqrt(g*(h_ref+h_amp))),\n",
    "                    force_rerun=force_rerun,\n",
    "                    transpose=transpose)\n",
    "                sim_elapsed_time[i, j] = secs\n",
    "                sim_dt[i, j] = dt\n",
    "                sim_nt[i, j] = nt\n",
    "\n",
    "            # Run reference with a low CFL-number\n",
    "            datafilename = gen_filename(simulators[i], reference_nx)\n",
    "            run_benchmark(datafilename=datafilename, \n",
    "                    simulator=simulators[i],\n",
    "                    simulator_args=sim_args,\n",
    "                    nx=reference_nx, ny=reference_nx, reference_nx=reference_nx, reference_ny=reference_nx,\n",
    "                    #dt=0.25*0.7*(width/nx)/(u_ref+u_amp + np.sqrt(g*(h_ref+h_amp))),\n",
    "                    force_rerun=force_rerun,\n",
    "                    transpose=transpose)\n",
    "        print(\"Completed simulation ({:}) in {:.2f} s\".format(simulators[i].__name__, sim_timer.secs))\n",
    "print(\"Completed simulation in {:.2f} s\".format(timer.secs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0xd9160e8ba8>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "setBwStyles(fig.gca())\n",
    "plt.title(\"Elapsed time vs number of cells\")\n",
    "for i, simulator in enumerate(simulators):\n",
    "    plt.plot(domain_sizes, sim_elapsed_time[i,:], label=simulator.__name__)\n",
    "plt.legend()\n",
    "    \n",
    "fig = plt.figure()\n",
    "setBwStyles(fig.gca())\n",
    "plt.title(\"Dt vs number of cells\")\n",
    "for i, simulator in enumerate(simulators):\n",
    "    plt.loglog(domain_sizes, sim_dt[i,:], label=simulator.__name__)\n",
    "plt.legend()\n",
    "    \n",
    "fig = plt.figure()\n",
    "setBwStyles(fig.gca())\n",
    "plt.title(\"Number of timesteps vs number of cells\")\n",
    "for i, simulator in enumerate(simulators):\n",
    "    plt.plot(domain_sizes, sim_nt[i,:], label=simulator.__name__)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>8</th>\n",
       "      <th>16</th>\n",
       "      <th>32</th>\n",
       "      <th>64</th>\n",
       "      <th>128</th>\n",
       "      <th>256</th>\n",
       "      <th>512</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LxF</th>\n",
       "      <td>2.004500</td>\n",
       "      <td>0.962610</td>\n",
       "      <td>1.011157</td>\n",
       "      <td>1.055375</td>\n",
       "      <td>1.229462</td>\n",
       "      <td>1.305015</td>\n",
       "      <td>1.572475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FORCE</th>\n",
       "      <td>1.700656</td>\n",
       "      <td>0.916956</td>\n",
       "      <td>0.980313</td>\n",
       "      <td>1.029231</td>\n",
       "      <td>1.199454</td>\n",
       "      <td>1.283564</td>\n",
       "      <td>1.573100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HLL</th>\n",
       "      <td>0.948501</td>\n",
       "      <td>0.947602</td>\n",
       "      <td>1.002329</td>\n",
       "      <td>1.070378</td>\n",
       "      <td>1.093793</td>\n",
       "      <td>1.227389</td>\n",
       "      <td>1.583368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HLL2</th>\n",
       "      <td>2.055229</td>\n",
       "      <td>2.675354</td>\n",
       "      <td>2.038743</td>\n",
       "      <td>1.901586</td>\n",
       "      <td>2.137356</td>\n",
       "      <td>2.029170</td>\n",
       "      <td>1.147805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WAF</th>\n",
       "      <td>2.044203</td>\n",
       "      <td>2.359680</td>\n",
       "      <td>1.420239</td>\n",
       "      <td>2.082590</td>\n",
       "      <td>1.969953</td>\n",
       "      <td>2.062400</td>\n",
       "      <td>2.008906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KP07</th>\n",
       "      <td>1.649266</td>\n",
       "      <td>2.258316</td>\n",
       "      <td>1.706160</td>\n",
       "      <td>1.884598</td>\n",
       "      <td>2.201053</td>\n",
       "      <td>2.143521</td>\n",
       "      <td>1.679342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KP07_dimsplit</th>\n",
       "      <td>1.946673</td>\n",
       "      <td>2.480600</td>\n",
       "      <td>1.604506</td>\n",
       "      <td>1.875102</td>\n",
       "      <td>2.236796</td>\n",
       "      <td>2.149934</td>\n",
       "      <td>1.529289</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    8         16        32        64        128       256  \\\n",
       "LxF            2.004500  0.962610  1.011157  1.055375  1.229462  1.305015   \n",
       "FORCE          1.700656  0.916956  0.980313  1.029231  1.199454  1.283564   \n",
       "HLL            0.948501  0.947602  1.002329  1.070378  1.093793  1.227389   \n",
       "HLL2           2.055229  2.675354  2.038743  1.901586  2.137356  2.029170   \n",
       "WAF            2.044203  2.359680  1.420239  2.082590  1.969953  2.062400   \n",
       "KP07           1.649266  2.258316  1.706160  1.884598  2.201053  2.143521   \n",
       "KP07_dimsplit  1.946673  2.480600  1.604506  1.875102  2.236796  2.149934   \n",
       "\n",
       "                    512  \n",
       "LxF            1.572475  \n",
       "FORCE          1.573100  \n",
       "HLL            1.583368  \n",
       "HLL2           1.147805  \n",
       "WAF            2.008906  \n",
       "KP07           1.679342  \n",
       "KP07_dimsplit  1.529289  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Max</th>\n",
       "      <th>Min</th>\n",
       "      <th>Mean</th>\n",
       "      <th>Stdev</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LxF</th>\n",
       "      <td>2.004500</td>\n",
       "      <td>0.962610</td>\n",
       "      <td>1.305799</td>\n",
       "      <td>0.344846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FORCE</th>\n",
       "      <td>1.700656</td>\n",
       "      <td>0.916956</td>\n",
       "      <td>1.240468</td>\n",
       "      <td>0.278496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HLL</th>\n",
       "      <td>1.583368</td>\n",
       "      <td>0.947602</td>\n",
       "      <td>1.124766</td>\n",
       "      <td>0.207781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HLL2</th>\n",
       "      <td>2.675354</td>\n",
       "      <td>1.147805</td>\n",
       "      <td>1.997892</td>\n",
       "      <td>0.416835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WAF</th>\n",
       "      <td>2.359680</td>\n",
       "      <td>1.420239</td>\n",
       "      <td>1.992567</td>\n",
       "      <td>0.261522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KP07</th>\n",
       "      <td>2.258316</td>\n",
       "      <td>1.649266</td>\n",
       "      <td>1.931751</td>\n",
       "      <td>0.245135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KP07_dimsplit</th>\n",
       "      <td>2.480600</td>\n",
       "      <td>1.529289</td>\n",
       "      <td>1.974700</td>\n",
       "      <td>0.316561</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Max       Min      Mean     Stdev\n",
       "LxF            2.004500  0.962610  1.305799  0.344846\n",
       "FORCE          1.700656  0.916956  1.240468  0.278496\n",
       "HLL            1.583368  0.947602  1.124766  0.207781\n",
       "HLL2           2.675354  1.147805  1.997892  0.416835\n",
       "WAF            2.359680  1.420239  1.992567  0.261522\n",
       "KP07           2.258316  1.649266  1.931751  0.245135\n",
       "KP07_dimsplit  2.480600  1.529289  1.974700  0.316561"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from IPython.display import display\n",
    "\n",
    "conservation = np.zeros((len(simulators), len(domain_sizes)))\n",
    "error = np.zeros((len(simulators), len(domain_sizes)))\n",
    "order = np.zeros((len(simulators), len(domain_sizes)-1))\n",
    "\n",
    "for i, simulator in enumerate(simulators):\n",
    "    #Read the reference solution\n",
    "    datafilename = gen_filename(simulator, reference_nx)\n",
    "    with np.load(datafilename) as data:\n",
    "        h_ref = data['h'].astype(np.float64)\n",
    "    \n",
    "    #Compute conservation and error for subsequent resolutions\n",
    "    for j, nx in enumerate(domain_sizes):\n",
    "        #Read current resolution\n",
    "        datafilename = gen_filename(simulator, nx)\n",
    "        with np.load(datafilename) as data:\n",
    "            h = data['h'].astype(np.float64)\n",
    "        \n",
    "        #Downsample reference to current resolution\n",
    "        h_ref_downsampled = InitialConditions.downsample(h_ref, reference_nx/nx)\n",
    "        \n",
    "        #Compute error per cell\n",
    "        error[i, j] = np.linalg.norm((h_ref_downsampled - h).flatten(), ord=1) / (nx*nx)\n",
    "        conservation[i, j] = (np.sum(h_ref_downsampled) - np.sum(h))\n",
    "    \n",
    "    #Compute the numerical order\n",
    "    a = np.arange(1, len(domain_sizes))\n",
    "    order[i,:] = np.log2(error[i, :-1] / error[i, 1:])\n",
    "\n",
    "\n",
    "table = pd.DataFrame(order, columns=domain_sizes[:-1], index=[simulator.__name__ for simulator in simulators])\n",
    "display(table)\n",
    "\n",
    "order_summary = pd.DataFrame(np.empty((len(simulators), 4)), columns=['Max', 'Min', 'Mean', 'Stdev'], index=[simulator.__name__ for simulator in simulators])\n",
    "for i, simulator in enumerate(simulators):\n",
    "    order_summary.loc[simulator.__name__] = [np.max(order[i,:]), \n",
    "        np.min(order[i,:]), \n",
    "        np.mean(order[i,:]), \n",
    "        np.std(order[i,:])]\n",
    "display(order_summary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\anbro\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_pdf.py:594: UserWarning: Unknown infodict keyword: created\n",
      "  self.writeInfoDict()\n",
      "c:\\Users\\anbro\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_pdf.py:594: UserWarning: Unknown infodict keyword: hostname\n",
      "  self.writeInfoDict()\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "setBwStyles(fig.gca())\n",
    "\n",
    "x = np.linspace(domain_sizes[0], domain_sizes[-1], 100);\n",
    "\n",
    "scaling = np.max(error[:,0]) * domain_sizes[0] * 1.5\n",
    "plt.loglog(x, scaling/x, '-', color='gray', label='Order 1')\n",
    "\n",
    "scaling = np.min(error[:,0]) * domain_sizes[0]**2 * 0.5\n",
    "plt.loglog(x, scaling/(x*x), '-', color='gray', label='Order 2')\n",
    "\n",
    "for i, simulator in enumerate(simulators):\n",
    "    plt.loglog(domain_sizes, error[i,:], label=simulators[i].__name__)\n",
    "\n",
    "plt.xlabel('Number of cells')\n",
    "plt.ylabel('Error')\n",
    "plt.title(\"Convergence\")\n",
    "plt.legend()\n",
    "save_figure(fig, 'convergence')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_solution(simulator, nx, label, **kwargs):\n",
    "    datafilename = gen_filename(simulator, nx)\n",
    "    \n",
    "    #Read the solution\n",
    "    with np.load(datafilename) as data:\n",
    "        h = data['h']\n",
    "        h = h[int(nx/2),:]\n",
    "        \n",
    "    x = np.linspace(0.5, nx-0.5, nx)*100.0/float(nx)\n",
    "    \n",
    "    plt.plot(x, h, label=label, **kwargs)\n",
    "    \n",
    "    h = None\n",
    "    x = None\n",
    "    gc.collect() # Force run garbage collection to free up memory\n",
    "    \n",
    "def plot_comparison(nx, **kwargs):\n",
    "    plot_solution(HLL2.HLL2, reference_nx, 'Reference', marker=' ', linestyle='-')\n",
    "\n",
    "    for i, simulator in enumerate(simulators):\n",
    "        plot_solution(simulator, nx, simulator.__name__, **kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "boxes = np.array([\\\n",
    "         [[28, 35], [0.499, 0.516]], \\\n",
    "         [[45, 56], [0.58, 0.60]]\n",
    "         ])\n",
    "comparison_nx = 32\n",
    "\n",
    "fig = plt.figure(figsize=(12, 12))\n",
    "gs = gridspec.GridSpec(2, 2)\n",
    "    \n",
    "ax1 = fig.add_subplot(gs[0,:])\n",
    "setBwStyles(ax1)\n",
    "for simulator in simulators:\n",
    "    plot_solution(simulator, comparison_nx, simulator.__name__, marker=' ')\n",
    "for box_x, box_y in boxes:\n",
    "    x = np.kron(box_x, np.ones((2)))\n",
    "    y = np.hstack((box_y, box_y[::-1]))\n",
    "    fig.gca().fill(x, y, fill=True, linestyle='-', color='gray', alpha=0.5)\n",
    "plt.title(\"Comparison of solutions at nx=\" + str(comparison_nx))\n",
    "plt.legend()\n",
    "\n",
    "ax2 = fig.add_subplot(gs[1,0])\n",
    "setBwStyles(ax2)\n",
    "for simulator in simulators:\n",
    "    plot_solution(simulator, comparison_nx, simulator.__name__, markevery=2)\n",
    "plt.xlim(boxes[0, 0])\n",
    "plt.ylim(boxes[0, 1])\n",
    "\n",
    "ax3 = fig.add_subplot(gs[1,1])\n",
    "setBwStyles(ax3)\n",
    "setBwStyles(ax2)\n",
    "for simulator in simulators:\n",
    "    plot_solution(simulator, comparison_nx, simulator.__name__, markevery=2)\n",
    "plt.xlim(boxes[1, 0])\n",
    "plt.ylim(boxes[1, 1])\n",
    "    \n",
    "save_figure(fig, 'solution')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(figsize=(12, 12))\n",
    "gs = gridspec.GridSpec(2, 2)\n",
    "    \n",
    "ax1 = fig.add_subplot(gs[0,:])\n",
    "setBwStyles(ax1)\n",
    "for simulator in simulators:\n",
    "    plot_solution(simulator, reference_nx, simulator.__name__, marker=' ')\n",
    "for box_x, box_y in boxes:\n",
    "    x = np.kron(box_x, np.ones((2)))\n",
    "    y = np.hstack((box_y, box_y[::-1]))\n",
    "    fig.gca().fill(x, y, fill=True, linestyle='-', color='gray', alpha=0.5)\n",
    "plt.title(\"Comparison of reference solutions\")\n",
    "plt.legend()\n",
    "\n",
    "ax2 = fig.add_subplot(gs[1,0])\n",
    "setBwStyles(ax2)\n",
    "for simulator in simulators:\n",
    "    plot_solution(simulator, reference_nx, simulator.__name__, marker=' ')\n",
    "plt.xlim(boxes[0, 0])\n",
    "plt.ylim(boxes[0, 1])\n",
    "\n",
    "ax3 = fig.add_subplot(gs[1,1])\n",
    "setBwStyles(ax3)\n",
    "setBwStyles(ax2)\n",
    "for simulator in simulators:\n",
    "    plot_solution(simulator, reference_nx, simulator.__name__, marker=' ')\n",
    "plt.xlim(boxes[1, 0])\n",
    "plt.ylim(boxes[1, 1])\n",
    "    \n",
    "save_figure(fig, 'reference_solutions')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "boxes = np.array([\\\n",
    "         [[28, 35], [0.499, 0.516]], \\\n",
    "         [[45, 56], [0.58, 0.60]]\n",
    "         ])\n",
    "\n",
    "for simulator in simulators:\n",
    "    fig = plt.figure(figsize=(12, 12))\n",
    "    \n",
    "    gs = gridspec.GridSpec(2, 2)\n",
    "    \n",
    "    ax1 = fig.add_subplot(gs[0,:])\n",
    "    setBwStyles(ax1)\n",
    "    plot_solution(simulator, reference_nx, 'Reference', linestyle='-', marker=' ')\n",
    "    for j, nx in enumerate(domain_sizes):\n",
    "        plot_solution(simulator, nx, 'nx=' + str(nx), marker=' ')\n",
    "    for box_x, box_y in boxes:\n",
    "        x = np.kron(box_x, np.ones((2)))\n",
    "        y = np.hstack((box_y, box_y[::-1]))\n",
    "        fig.gca().fill(x, y, fill=True, linestyle='-', color='gray', alpha=0.5)\n",
    "    plt.title(str(simulator.__name__))\n",
    "    plt.legend()\n",
    "    \n",
    "    ax2 = fig.add_subplot(gs[1,0])\n",
    "    setBwStyles(ax2)\n",
    "    plot_solution(simulator, reference_nx, 'Reference', linestyle='-', marker=' ')\n",
    "    for j, nx in enumerate(domain_sizes):\n",
    "        plot_solution(simulator, nx, 'nx=' + str(nx), marker=' ')  \n",
    "    plt.xlim(boxes[0, 0])\n",
    "    plt.ylim(boxes[0, 1])\n",
    "    \n",
    "    ax3 = fig.add_subplot(gs[1,1])\n",
    "    setBwStyles(ax3)\n",
    "    plot_solution(simulator, reference_nx, 'Reference', linestyle='-', marker=' ')\n",
    "    for j, nx in enumerate(domain_sizes):\n",
    "        plot_solution(simulator, nx, 'nx=' + str(nx), marker=' ')   \n",
    "    plt.xlim(boxes[1, 0])\n",
    "    plt.ylim(boxes[1, 1])\n",
    "    \n",
    "    save_figure(fig, simulator.__name__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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