test_notebooks/CPPTests.ipynb

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  {
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   "source": [
    "# Testing\n",
    "\n",
    "Contines Coverage Path Planning tests for a single robot, not DARP.\n",
    "\n",
    "**Important Metrics**\n",
    "- Redundancy ($R$): percentage of points that are in excess of the visited points $V$, $L_{cpath}$ is the length of the coverage path. $R = \\frac{L_{cpath}}{V} - 1$\n",
    "- Coverage ($C$): percentage of points covered of the total that can be covered, $P_{nobs}$ are the number of points on the map that aren't obstacles. $C = \\frac{V}{P_{nobs}}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-14T16:21:17.807900Z",
     "start_time": "2020-08-14T16:21:15.346708Z"
    }
   },
   "outputs": [],
   "source": [
    "from cpp_algorithms import dist_fill\n",
    "from cpp_algorithms import wavefront, bcd, stc\n",
    "from cpp_algorithms import single_robot_multiple, single_robot_single\n",
    "from cpp_algorithms import imshow, get_random_coords, is_valid, get_all_area_maps\n",
    "\n",
    "from cpp_algorithms.fuel_path import splice_paths, get_fuel_paths\n",
    "from cpp_algorithms.common_helpers import generate_no_obs_area_map\n",
    "from cpp_algorithms.common_helpers import generate_point_obstacles\n",
    "from cpp_algorithms.constants import OB, NO\n",
    "from cpp_algorithms.coverage_path.pathing_helpers import has_isolated_areas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run Tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-14T16:21:20.164143Z",
     "start_time": "2020-08-14T16:21:20.044251Z"
    }
   },
   "outputs": [],
   "source": [
    "# Required for animations.\n",
    "# Don't forget to close the figure.\n",
    "%matplotlib notebook \n",
    "area_maps = get_all_area_maps(\"test_maps\")\n",
    "point_maps = [generate_point_obstacles(am,p=0.05) for am in generate_no_obs_area_map()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Spanning Tree Coverage Algorithm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Without fuel paths."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-14T16:21:26.188815Z",
     "start_time": "2020-08-14T16:21:25.028488Z"
    }
   },
   "outputs": [
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     "text": [
      "\n",
      "CPU times: user 1.05 s, sys: 25.1 ms, total: 1.07 s\n",
      "Wall time: 1.14 s\n"
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       "      <th>cp_compute_time</th>\n",
       "      <th>points_to_visit</th>\n",
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       "   success  cp_compute_time  points_to_visit  obstacle_points  points_visited  \\\n",
       "0     True         0.017278             1318             1182            1318   \n",
       "1     True         0.018117             1472             1028            1472   \n",
       "2     True         0.057432             6042             1158            6042   \n",
       "3     True         0.064437             3680             3520            3680   \n",
       "4     True         0.024290             4383             2817            4383   \n",
       "5     True         0.027567             4161             3039            4161   \n",
       "6     True         0.142584            25866            10998           25866   \n",
       "7     True         0.173114            24720            12144           24720   \n",
       "8     True         0.269794            36713              151           36713   \n",
       "9     True         0.234962            33385            32151           33385   \n",
       "\n",
       "   coverage_path_len  coverage  redundancy  area_shape  \n",
       "0               1371       1.0    0.040212    (50, 50)  \n",
       "1               1507       1.0    0.023777    (50, 50)  \n",
       "2               6055       1.0    0.002152   (50, 144)  \n",
       "3               3767       1.0    0.023641   (50, 144)  \n",
       "4               4393       1.0    0.002282   (50, 144)  \n",
       "5               4187       1.0    0.006248   (50, 144)  \n",
       "6              26029       1.0    0.006302  (144, 256)  \n",
       "7              24807       1.0    0.003519  (144, 256)  \n",
       "8              36727       1.0    0.000381  (144, 256)  \n",
       "9              33730       1.0    0.010334  (256, 256)  "
      ]
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   ],
   "source": [
    "\"\"\"\n",
    "Using prepainted area_maps\n",
    "\"\"\"\n",
    "%time stc_non_fuel_test_am = single_robot_multiple(stc, area_maps[10:])\n",
    "stc_non_fuel_test_am"
   ]
  },
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     "text": [
      "\n",
      "CPU times: user 1.22 s, sys: 32 ms, total: 1.25 s\n",
      "Wall time: 1.35 s\n"
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       "      <td>36291</td>\n",
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       "      <td>0.044105</td>\n",
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       "   success  cp_compute_time  points_to_visit  obstacle_points  points_visited  \\\n",
       "0     True         0.009163              974               50             974   \n",
       "1     True         0.021315             2356              144            2356   \n",
       "2     True         0.057395             6855              345            6855   \n",
       "3     True         0.438382            34896             1824           34758   \n",
       "4     True         0.731150            62245             3291           62245   \n",
       "\n",
       "   coverage_path_len  coverage  redundancy  area_shape  \n",
       "0               1017  1.000000    0.044148    (32, 32)  \n",
       "1               2485  1.000000    0.054754    (50, 50)  \n",
       "2               7157  1.000000    0.044055   (50, 144)  \n",
       "3              36291  0.996045    0.044105  (144, 255)  \n",
       "4              65009  1.000000    0.044405  (256, 256)  "
      ]
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     "execution_count": 11,
     "metadata": {},
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   ],
   "source": [
    "\"\"\"\n",
    "Using randomly generated point obstacles \n",
    "with a probability of 0.04\n",
    "\n",
    "Note : some tests will fail if there are locked in regions.\n",
    "or if they are terminated cause of egregious run times.\n",
    "\"\"\"\n",
    "run = True\n",
    "point_maps = [generate_point_obstacles(am,p=0.05) for am in generate_no_obs_area_map()]\n",
    "for p in point_maps:\n",
    "    if has_isolated_areas(p):\n",
    "        run = False\n",
    "        break\n",
    "if run:\n",
    "    %time stc_non_fuel_test_pm = single_robot_multiple(stc, point_maps)\n",
    "run and stc_non_fuel_test_pm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### With fuel paths."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T23:11:51.675468Z",
     "start_time": "2020-07-31T23:11:46.962510Z"
    }
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      "\n",
      "CPU times: user 4.39 s, sys: 65.9 ms, total: 4.45 s\n",
      "Wall time: 4.68 s\n"
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       "      <td>120</td>\n",
       "      <td>167</td>\n",
       "      <td>0.200313</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>0.004095</td>\n",
       "      <td>0.019271</td>\n",
       "      <td>654</td>\n",
       "      <td>370</td>\n",
       "      <td>654</td>\n",
       "      <td>679</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.038226</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>3</td>\n",
       "      <td>166</td>\n",
       "      <td>226</td>\n",
       "      <td>0.282875</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>True</td>\n",
       "      <td>0.004456</td>\n",
       "      <td>0.032575</td>\n",
       "      <td>794</td>\n",
       "      <td>230</td>\n",
       "      <td>794</td>\n",
       "      <td>801</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.008816</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>5</td>\n",
       "      <td>160</td>\n",
       "      <td>168</td>\n",
       "      <td>0.197733</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>True</td>\n",
       "      <td>0.004476</td>\n",
       "      <td>0.034997</td>\n",
       "      <td>725</td>\n",
       "      <td>299</td>\n",
       "      <td>725</td>\n",
       "      <td>739</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.019310</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>4</td>\n",
       "      <td>114</td>\n",
       "      <td>208</td>\n",
       "      <td>0.165517</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>True</td>\n",
       "      <td>0.004701</td>\n",
       "      <td>0.010382</td>\n",
       "      <td>723</td>\n",
       "      <td>301</td>\n",
       "      <td>723</td>\n",
       "      <td>737</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.019364</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>4</td>\n",
       "      <td>282</td>\n",
       "      <td>220</td>\n",
       "      <td>0.398340</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>True</td>\n",
       "      <td>0.013083</td>\n",
       "      <td>0.072935</td>\n",
       "      <td>610</td>\n",
       "      <td>414</td>\n",
       "      <td>610</td>\n",
       "      <td>867</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.421311</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>1</td>\n",
       "      <td>82</td>\n",
       "      <td>556</td>\n",
       "      <td>0.552459</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>True</td>\n",
       "      <td>0.007245</td>\n",
       "      <td>0.056014</td>\n",
       "      <td>772</td>\n",
       "      <td>252</td>\n",
       "      <td>772</td>\n",
       "      <td>829</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.073834</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>3</td>\n",
       "      <td>132</td>\n",
       "      <td>240</td>\n",
       "      <td>0.237047</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>True</td>\n",
       "      <td>0.009614</td>\n",
       "      <td>0.047591</td>\n",
       "      <td>1529</td>\n",
       "      <td>971</td>\n",
       "      <td>1529</td>\n",
       "      <td>1565</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.023545</td>\n",
       "      <td>(50, 50)</td>\n",
       "      <td>8</td>\n",
       "      <td>264</td>\n",
       "      <td>218</td>\n",
       "      <td>0.185742</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>True</td>\n",
       "      <td>0.009419</td>\n",
       "      <td>0.048855</td>\n",
       "      <td>1318</td>\n",
       "      <td>1182</td>\n",
       "      <td>1318</td>\n",
       "      <td>1371</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.040212</td>\n",
       "      <td>(50, 50)</td>\n",
       "      <td>5</td>\n",
       "      <td>154</td>\n",
       "      <td>258</td>\n",
       "      <td>0.149469</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>True</td>\n",
       "      <td>0.009484</td>\n",
       "      <td>0.093767</td>\n",
       "      <td>1472</td>\n",
       "      <td>1028</td>\n",
       "      <td>1472</td>\n",
       "      <td>1507</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.023777</td>\n",
       "      <td>(50, 50)</td>\n",
       "      <td>9</td>\n",
       "      <td>434</td>\n",
       "      <td>210</td>\n",
       "      <td>0.306386</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>True</td>\n",
       "      <td>0.033205</td>\n",
       "      <td>0.150483</td>\n",
       "      <td>6042</td>\n",
       "      <td>1158</td>\n",
       "      <td>6042</td>\n",
       "      <td>6055</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>11</td>\n",
       "      <td>980</td>\n",
       "      <td>588</td>\n",
       "      <td>0.160708</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>True</td>\n",
       "      <td>0.041162</td>\n",
       "      <td>0.115308</td>\n",
       "      <td>3680</td>\n",
       "      <td>3520</td>\n",
       "      <td>3680</td>\n",
       "      <td>3767</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.023641</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>12</td>\n",
       "      <td>712</td>\n",
       "      <td>346</td>\n",
       "      <td>0.210598</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>True</td>\n",
       "      <td>0.028659</td>\n",
       "      <td>0.112146</td>\n",
       "      <td>4383</td>\n",
       "      <td>2817</td>\n",
       "      <td>4383</td>\n",
       "      <td>4393</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.002282</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>15</td>\n",
       "      <td>784</td>\n",
       "      <td>324</td>\n",
       "      <td>0.174310</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>True</td>\n",
       "      <td>0.026545</td>\n",
       "      <td>0.061375</td>\n",
       "      <td>4161</td>\n",
       "      <td>3039</td>\n",
       "      <td>4161</td>\n",
       "      <td>4187</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.006248</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>7</td>\n",
       "      <td>752</td>\n",
       "      <td>660</td>\n",
       "      <td>0.183610</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>True</td>\n",
       "      <td>0.258717</td>\n",
       "      <td>0.265599</td>\n",
       "      <td>25866</td>\n",
       "      <td>10998</td>\n",
       "      <td>25866</td>\n",
       "      <td>26029</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.006302</td>\n",
       "      <td>(144, 256)</td>\n",
       "      <td>28</td>\n",
       "      <td>5988</td>\n",
       "      <td>1134</td>\n",
       "      <td>0.235638</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>True</td>\n",
       "      <td>0.161097</td>\n",
       "      <td>0.258225</td>\n",
       "      <td>24720</td>\n",
       "      <td>12144</td>\n",
       "      <td>24720</td>\n",
       "      <td>24807</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.003519</td>\n",
       "      <td>(144, 256)</td>\n",
       "      <td>22</td>\n",
       "      <td>5230</td>\n",
       "      <td>1309</td>\n",
       "      <td>0.213309</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>True</td>\n",
       "      <td>0.196168</td>\n",
       "      <td>0.242703</td>\n",
       "      <td>36713</td>\n",
       "      <td>151</td>\n",
       "      <td>36713</td>\n",
       "      <td>36727</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000381</td>\n",
       "      <td>(144, 256)</td>\n",
       "      <td>32</td>\n",
       "      <td>7774</td>\n",
       "      <td>1351</td>\n",
       "      <td>0.210389</td>\n",
       "      <td>267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>True</td>\n",
       "      <td>0.337866</td>\n",
       "      <td>0.242535</td>\n",
       "      <td>33385</td>\n",
       "      <td>32151</td>\n",
       "      <td>33385</td>\n",
       "      <td>33730</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.010334</td>\n",
       "      <td>(256, 256)</td>\n",
       "      <td>29</td>\n",
       "      <td>9438</td>\n",
       "      <td>1468</td>\n",
       "      <td>0.291298</td>\n",
       "      <td>297</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    success  cp_compute_time  fp_compute_time  points_to_visit  \\\n",
       "0      True         0.008147         0.041265              716   \n",
       "1      True         0.012091         0.024627              689   \n",
       "2      True         0.004495         0.030840              639   \n",
       "3      True         0.004095         0.019271              654   \n",
       "4      True         0.004456         0.032575              794   \n",
       "5      True         0.004476         0.034997              725   \n",
       "6      True         0.004701         0.010382              723   \n",
       "7      True         0.013083         0.072935              610   \n",
       "8      True         0.007245         0.056014              772   \n",
       "9      True         0.009614         0.047591             1529   \n",
       "10     True         0.009419         0.048855             1318   \n",
       "11     True         0.009484         0.093767             1472   \n",
       "12     True         0.033205         0.150483             6042   \n",
       "13     True         0.041162         0.115308             3680   \n",
       "14     True         0.028659         0.112146             4383   \n",
       "15     True         0.026545         0.061375             4161   \n",
       "16     True         0.258717         0.265599            25866   \n",
       "17     True         0.161097         0.258225            24720   \n",
       "18     True         0.196168         0.242703            36713   \n",
       "19     True         0.337866         0.242535            33385   \n",
       "\n",
       "    obstacle_points  points_visited  coverage_path_len  coverage  redundancy  \\\n",
       "0               308             716                733       1.0    0.023743   \n",
       "1               335             689                703       1.0    0.020319   \n",
       "2               385             639                655       1.0    0.025039   \n",
       "3               370             654                679       1.0    0.038226   \n",
       "4               230             794                801       1.0    0.008816   \n",
       "5               299             725                739       1.0    0.019310   \n",
       "6               301             723                737       1.0    0.019364   \n",
       "7               414             610                867       1.0    0.421311   \n",
       "8               252             772                829       1.0    0.073834   \n",
       "9               971            1529               1565       1.0    0.023545   \n",
       "10             1182            1318               1371       1.0    0.040212   \n",
       "11             1028            1472               1507       1.0    0.023777   \n",
       "12             1158            6042               6055       1.0    0.002152   \n",
       "13             3520            3680               3767       1.0    0.023641   \n",
       "14             2817            4383               4393       1.0    0.002282   \n",
       "15             3039            4161               4187       1.0    0.006248   \n",
       "16            10998           25866              26029       1.0    0.006302   \n",
       "17            12144           24720              24807       1.0    0.003519   \n",
       "18              151           36713              36727       1.0    0.000381   \n",
       "19            32151           33385              33730       1.0    0.010334   \n",
       "\n",
       "    area_shape  refuels  fuel_path_len  fuel_capacity  total_redundancy  \\\n",
       "0     (32, 32)        8            174            103          0.244413   \n",
       "1     (32, 32)        5            172            155          0.255443   \n",
       "2     (32, 32)        4            120            167          0.200313   \n",
       "3     (32, 32)        3            166            226          0.282875   \n",
       "4     (32, 32)        5            160            168          0.197733   \n",
       "5     (32, 32)        4            114            208          0.165517   \n",
       "6     (32, 32)        4            282            220          0.398340   \n",
       "7     (32, 32)        1             82            556          0.552459   \n",
       "8     (32, 32)        3            132            240          0.237047   \n",
       "9     (50, 50)        8            264            218          0.185742   \n",
       "10    (50, 50)        5            154            258          0.149469   \n",
       "11    (50, 50)        9            434            210          0.306386   \n",
       "12   (50, 144)       11            980            588          0.160708   \n",
       "13   (50, 144)       12            712            346          0.210598   \n",
       "14   (50, 144)       15            784            324          0.174310   \n",
       "15   (50, 144)        7            752            660          0.183610   \n",
       "16  (144, 256)       28           5988           1134          0.235638   \n",
       "17  (144, 256)       22           5230           1309          0.213309   \n",
       "18  (144, 256)       32           7774           1351          0.210389   \n",
       "19  (256, 256)       29           9438           1468          0.291298   \n",
       "\n",
       "    max_dist_fuel  \n",
       "0              22  \n",
       "1              29  \n",
       "2              36  \n",
       "3              47  \n",
       "4              39  \n",
       "5              43  \n",
       "6              51  \n",
       "7             115  \n",
       "8              45  \n",
       "9              44  \n",
       "10             57  \n",
       "11             45  \n",
       "12            132  \n",
       "13             64  \n",
       "14             67  \n",
       "15            126  \n",
       "16            221  \n",
       "17            225  \n",
       "18            267  \n",
       "19            297  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Using prepainted area_maps\n",
    "\"\"\"\n",
    "%time stc_oui_fuel_test_am = single_robot_multiple(stc, area_maps, fuel_paths=True)\n",
    "stc_oui_fuel_test_am"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-14T16:16:49.030933Z",
     "start_time": "2020-08-14T16:16:48.800872Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
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       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
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       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
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       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             success : True\n",
      "     cp_compute_time : 0.011593341827392578\n",
      "     fp_compute_time : 0.08154678344726562\n",
      "     points_to_visit : 1472\n",
      "     obstacle_points : 1028\n",
      "      points_visited : 1472\n",
      "   coverage_path_len : 1507\n",
      "            coverage : 1.0\n",
      "          redundancy : 0.02377717391304346\n",
      "          area_shape : (50, 50)\n",
      "             refuels : 6\n",
      "       fuel_path_len : 382\n",
      "       fuel_capacity : 276\n",
      "    total_redundancy : 0.2751358695652173\n",
      "       max_dist_fuel : 56\n"
     ]
    }
   ],
   "source": [
    "metrics, _ = single_robot_single(stc, area_maps[11], animate=True, interval=11, fuel_paths=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Boustrophedon Cell Decomposition Algorithm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Without fuel paths."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-30T18:39:44.305688Z",
     "start_time": "2020-07-30T18:39:43.198859Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "34fd7cc1c200465889c1930f1941e3f4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=20.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: user 15.9 s, sys: 380 ms, total: 16.3 s\n",
      "Wall time: 16.6 s\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>success</th>\n",
       "      <th>cp_compute_time</th>\n",
       "      <th>points_to_visit</th>\n",
       "      <th>obstacle_points</th>\n",
       "      <th>points_visited</th>\n",
       "      <th>coverage_path_len</th>\n",
       "      <th>coverage</th>\n",
       "      <th>redundancy</th>\n",
       "      <th>area_shape</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>True</td>\n",
       "      <td>0.052879</td>\n",
       "      <td>716</td>\n",
       "      <td>308</td>\n",
       "      <td>716</td>\n",
       "      <td>791</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.104749</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>True</td>\n",
       "      <td>0.050353</td>\n",
       "      <td>689</td>\n",
       "      <td>335</td>\n",
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       "      <td>794</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.152395</td>\n",
       "      <td>(32, 32)</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>True</td>\n",
       "      <td>0.031907</td>\n",
       "      <td>639</td>\n",
       "      <td>385</td>\n",
       "      <td>639</td>\n",
       "      <td>788</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.233177</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>0.036928</td>\n",
       "      <td>654</td>\n",
       "      <td>370</td>\n",
       "      <td>654</td>\n",
       "      <td>865</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.322630</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>True</td>\n",
       "      <td>0.026672</td>\n",
       "      <td>794</td>\n",
       "      <td>230</td>\n",
       "      <td>794</td>\n",
       "      <td>911</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.147355</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>True</td>\n",
       "      <td>0.020501</td>\n",
       "      <td>725</td>\n",
       "      <td>299</td>\n",
       "      <td>725</td>\n",
       "      <td>860</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.186207</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>True</td>\n",
       "      <td>0.040836</td>\n",
       "      <td>723</td>\n",
       "      <td>301</td>\n",
       "      <td>723</td>\n",
       "      <td>849</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.174274</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>True</td>\n",
       "      <td>0.084260</td>\n",
       "      <td>610</td>\n",
       "      <td>414</td>\n",
       "      <td>610</td>\n",
       "      <td>1280</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.098361</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>True</td>\n",
       "      <td>0.065247</td>\n",
       "      <td>772</td>\n",
       "      <td>252</td>\n",
       "      <td>772</td>\n",
       "      <td>1068</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.383420</td>\n",
       "      <td>(32, 32)</td>\n",
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       "    <tr>\n",
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       "      <td>True</td>\n",
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       "      <td>1529</td>\n",
       "      <td>971</td>\n",
       "      <td>1529</td>\n",
       "      <td>1700</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.111838</td>\n",
       "      <td>(50, 50)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>True</td>\n",
       "      <td>0.097433</td>\n",
       "      <td>1318</td>\n",
       "      <td>1182</td>\n",
       "      <td>1318</td>\n",
       "      <td>1746</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.324734</td>\n",
       "      <td>(50, 50)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>True</td>\n",
       "      <td>0.094083</td>\n",
       "      <td>1472</td>\n",
       "      <td>1028</td>\n",
       "      <td>1472</td>\n",
       "      <td>1870</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.270380</td>\n",
       "      <td>(50, 50)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>True</td>\n",
       "      <td>0.261178</td>\n",
       "      <td>6042</td>\n",
       "      <td>1158</td>\n",
       "      <td>6042</td>\n",
       "      <td>6953</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.150778</td>\n",
       "      <td>(50, 144)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>True</td>\n",
       "      <td>0.365298</td>\n",
       "      <td>3680</td>\n",
       "      <td>3520</td>\n",
       "      <td>3680</td>\n",
       "      <td>4599</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.249728</td>\n",
       "      <td>(50, 144)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>True</td>\n",
       "      <td>0.133193</td>\n",
       "      <td>4383</td>\n",
       "      <td>2817</td>\n",
       "      <td>4383</td>\n",
       "      <td>4654</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.061830</td>\n",
       "      <td>(50, 144)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>True</td>\n",
       "      <td>0.177071</td>\n",
       "      <td>4161</td>\n",
       "      <td>3039</td>\n",
       "      <td>4161</td>\n",
       "      <td>4574</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.099255</td>\n",
       "      <td>(50, 144)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>True</td>\n",
       "      <td>2.702677</td>\n",
       "      <td>25866</td>\n",
       "      <td>10998</td>\n",
       "      <td>25866</td>\n",
       "      <td>27930</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.079796</td>\n",
       "      <td>(144, 256)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>True</td>\n",
       "      <td>1.577591</td>\n",
       "      <td>24720</td>\n",
       "      <td>12144</td>\n",
       "      <td>24720</td>\n",
       "      <td>26270</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.062702</td>\n",
       "      <td>(144, 256)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>True</td>\n",
       "      <td>1.047919</td>\n",
       "      <td>36713</td>\n",
       "      <td>151</td>\n",
       "      <td>36713</td>\n",
       "      <td>37092</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.010323</td>\n",
       "      <td>(144, 256)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>True</td>\n",
       "      <td>9.583445</td>\n",
       "      <td>33385</td>\n",
       "      <td>32151</td>\n",
       "      <td>33385</td>\n",
       "      <td>40433</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.211113</td>\n",
       "      <td>(256, 256)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    success  cp_compute_time  points_to_visit  obstacle_points  \\\n",
       "0      True         0.052879              716              308   \n",
       "1      True         0.050353              689              335   \n",
       "2      True         0.031907              639              385   \n",
       "3      True         0.036928              654              370   \n",
       "4      True         0.026672              794              230   \n",
       "5      True         0.020501              725              299   \n",
       "6      True         0.040836              723              301   \n",
       "7      True         0.084260              610              414   \n",
       "8      True         0.065247              772              252   \n",
       "9      True         0.056081             1529              971   \n",
       "10     True         0.097433             1318             1182   \n",
       "11     True         0.094083             1472             1028   \n",
       "12     True         0.261178             6042             1158   \n",
       "13     True         0.365298             3680             3520   \n",
       "14     True         0.133193             4383             2817   \n",
       "15     True         0.177071             4161             3039   \n",
       "16     True         2.702677            25866            10998   \n",
       "17     True         1.577591            24720            12144   \n",
       "18     True         1.047919            36713              151   \n",
       "19     True         9.583445            33385            32151   \n",
       "\n",
       "    points_visited  coverage_path_len  coverage  redundancy  area_shape  \n",
       "0              716                791       1.0    0.104749    (32, 32)  \n",
       "1              689                794       1.0    0.152395    (32, 32)  \n",
       "2              639                788       1.0    0.233177    (32, 32)  \n",
       "3              654                865       1.0    0.322630    (32, 32)  \n",
       "4              794                911       1.0    0.147355    (32, 32)  \n",
       "5              725                860       1.0    0.186207    (32, 32)  \n",
       "6              723                849       1.0    0.174274    (32, 32)  \n",
       "7              610               1280       1.0    1.098361    (32, 32)  \n",
       "8              772               1068       1.0    0.383420    (32, 32)  \n",
       "9             1529               1700       1.0    0.111838    (50, 50)  \n",
       "10            1318               1746       1.0    0.324734    (50, 50)  \n",
       "11            1472               1870       1.0    0.270380    (50, 50)  \n",
       "12            6042               6953       1.0    0.150778   (50, 144)  \n",
       "13            3680               4599       1.0    0.249728   (50, 144)  \n",
       "14            4383               4654       1.0    0.061830   (50, 144)  \n",
       "15            4161               4574       1.0    0.099255   (50, 144)  \n",
       "16           25866              27930       1.0    0.079796  (144, 256)  \n",
       "17           24720              26270       1.0    0.062702  (144, 256)  \n",
       "18           36713              37092       1.0    0.010323  (144, 256)  \n",
       "19           33385              40433       1.0    0.211113  (256, 256)  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Using prepainted area_maps\n",
    "\"\"\"\n",
    "%time bcd_non_fuel_test_am = single_robot_multiple(bcd, area_maps)\n",
    "bcd_non_fuel_test_am"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-30T18:54:06.685992Z",
     "start_time": "2020-07-30T18:52:38.277148Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "model_id": "7b777e6ad2034ae7b8acda0ad8cf7a21",
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      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=5.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: user 1min 35s, sys: 2.85 s, total: 1min 38s\n",
      "Wall time: 1min 42s\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>success</th>\n",
       "      <th>cp_compute_time</th>\n",
       "      <th>points_to_visit</th>\n",
       "      <th>obstacle_points</th>\n",
       "      <th>points_visited</th>\n",
       "      <th>coverage_path_len</th>\n",
       "      <th>coverage</th>\n",
       "      <th>redundancy</th>\n",
       "      <th>area_shape</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>True</td>\n",
       "      <td>0.142932</td>\n",
       "      <td>967</td>\n",
       "      <td>57</td>\n",
       "      <td>967</td>\n",
       "      <td>1259</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.301965</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>True</td>\n",
       "      <td>0.265540</td>\n",
       "      <td>2385</td>\n",
       "      <td>115</td>\n",
       "      <td>2385</td>\n",
       "      <td>3005</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.259958</td>\n",
       "      <td>(50, 50)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>True</td>\n",
       "      <td>1.147057</td>\n",
       "      <td>6865</td>\n",
       "      <td>335</td>\n",
       "      <td>6865</td>\n",
       "      <td>8575</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.249090</td>\n",
       "      <td>(50, 144)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>24.398466</td>\n",
       "      <td>34873</td>\n",
       "      <td>1847</td>\n",
       "      <td>34873</td>\n",
       "      <td>44172</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.266653</td>\n",
       "      <td>(144, 255)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>True</td>\n",
       "      <td>76.693851</td>\n",
       "      <td>62320</td>\n",
       "      <td>3216</td>\n",
       "      <td>62320</td>\n",
       "      <td>78702</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.262869</td>\n",
       "      <td>(256, 256)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   success  cp_compute_time  points_to_visit  obstacle_points  points_visited  \\\n",
       "0     True         0.142932              967               57             967   \n",
       "1     True         0.265540             2385              115            2385   \n",
       "2     True         1.147057             6865              335            6865   \n",
       "3     True        24.398466            34873             1847           34873   \n",
       "4     True        76.693851            62320             3216           62320   \n",
       "\n",
       "   coverage_path_len  coverage  redundancy  area_shape  \n",
       "0               1259       1.0    0.301965    (32, 32)  \n",
       "1               3005       1.0    0.259958    (50, 50)  \n",
       "2               8575       1.0    0.249090   (50, 144)  \n",
       "3              44172       1.0    0.266653  (144, 255)  \n",
       "4              78702       1.0    0.262869  (256, 256)  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Using randomly generated point obstacles \n",
    "with a probability of 0.04\n",
    "\n",
    "Note : some tests will fail if there are locked in regions.\n",
    "or if they are terminated cause of egregious run times.\n",
    "\"\"\"\n",
    "run = True\n",
    "point_maps = [generate_point_obstacles(am,p=0.05) for am in generate_no_obs_area_map()]\n",
    "for p in point_maps:\n",
    "    if has_isolated_areas(p):\n",
    "        run = False\n",
    "        break\n",
    "if run:\n",
    "    %time bcd_non_fuel_test_pm = single_robot_multiple(bcd, point_maps)\n",
    "bcd_non_fuel_test_pm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Testing on dependence on random initialization of start and center points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-28T21:25:45.491348Z",
     "start_time": "2020-07-28T21:24:48.645123Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "65dff23ce09b4a88b5fb3fe890c5fa05",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=500.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: user 53.5 s, sys: 944 ms, total: 54.4 s\n",
      "Wall time: 56.8 s\n",
      "       redundancy  coverage_path_len\n",
      "count  500.000000         500.000000\n",
      "mean     0.324212        1745.312000\n",
      "std      0.031139          41.041436\n",
      "min      0.261002        1662.000000\n",
      "25%      0.301783        1715.750000\n",
      "50%      0.326252        1748.000000\n",
      "75%      0.341616        1768.250000\n",
      "max      0.474962        1944.000000\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "Testing start point dependence, start points are randomly generated.\n",
    "\"\"\"\n",
    "area_map = area_maps[10]\n",
    "%time bcd_non_fuel_test_am_random_sp = single_robot_multiple(bcd, [area_map] * 500)\n",
    "print(bcd_non_fuel_test_am_random_sp[[\"redundancy\",\"coverage_path_len\"]].describe())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Animating path movements\n",
    "Running the test on a single area map with the animation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-28T21:42:09.432884Z",
     "start_time": "2020-07-28T21:42:09.228316Z"
    }
   },
   "outputs": [
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       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             success : True\n",
      "     cp_compute_time : 0.15229415893554688\n",
      "     points_to_visit : 772\n",
      "     obstacle_points : 252\n",
      "      points_visited : 772\n",
      "   coverage_path_len : 1063\n",
      "            coverage : 1.0\n",
      "          redundancy : 0.37694300518134716\n",
      "          area_shape : (32, 32)\n"
     ]
    }
   ],
   "source": [
    "metrics, _ = single_robot_single(bcd, area_maps[8], animate=True, interval=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### With fuel paths."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-30T18:41:50.644415Z",
     "start_time": "2020-07-30T18:41:43.124059Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fe87b56a5bc24c16b6a9622ac810e97c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=20.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: user 21.6 s, sys: 432 ms, total: 22.1 s\n",
      "Wall time: 22.7 s\n"
     ]
    },
    {
     "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>success</th>\n",
       "      <th>cp_compute_time</th>\n",
       "      <th>fp_compute_time</th>\n",
       "      <th>points_to_visit</th>\n",
       "      <th>obstacle_points</th>\n",
       "      <th>points_visited</th>\n",
       "      <th>coverage_path_len</th>\n",
       "      <th>coverage</th>\n",
       "      <th>redundancy</th>\n",
       "      <th>area_shape</th>\n",
       "      <th>refuels</th>\n",
       "      <th>fuel_path_len</th>\n",
       "      <th>fuel_capacity</th>\n",
       "      <th>total_redundancy</th>\n",
       "      <th>max_dist_fuel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>True</td>\n",
       "      <td>0.043412</td>\n",
       "      <td>0.030437</td>\n",
       "      <td>716</td>\n",
       "      <td>308</td>\n",
       "      <td>716</td>\n",
       "      <td>805</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.124302</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>10</td>\n",
       "      <td>172</td>\n",
       "      <td>94</td>\n",
       "      <td>0.336592</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>True</td>\n",
       "      <td>0.043993</td>\n",
       "      <td>0.007985</td>\n",
       "      <td>689</td>\n",
       "      <td>335</td>\n",
       "      <td>689</td>\n",
       "      <td>795</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>3</td>\n",
       "      <td>188</td>\n",
       "      <td>283</td>\n",
       "      <td>0.417997</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>True</td>\n",
       "      <td>0.026824</td>\n",
       "      <td>0.012728</td>\n",
       "      <td>639</td>\n",
       "      <td>385</td>\n",
       "      <td>639</td>\n",
       "      <td>762</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.192488</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>8</td>\n",
       "      <td>214</td>\n",
       "      <td>118</td>\n",
       "      <td>0.502347</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>0.054360</td>\n",
       "      <td>0.008713</td>\n",
       "      <td>654</td>\n",
       "      <td>370</td>\n",
       "      <td>654</td>\n",
       "      <td>932</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.425076</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>3</td>\n",
       "      <td>158</td>\n",
       "      <td>296</td>\n",
       "      <td>0.657492</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>True</td>\n",
       "      <td>0.022051</td>\n",
       "      <td>0.012403</td>\n",
       "      <td>794</td>\n",
       "      <td>230</td>\n",
       "      <td>794</td>\n",
       "      <td>860</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.083123</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>4</td>\n",
       "      <td>150</td>\n",
       "      <td>215</td>\n",
       "      <td>0.261965</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>True</td>\n",
       "      <td>0.030248</td>\n",
       "      <td>0.016890</td>\n",
       "      <td>725</td>\n",
       "      <td>299</td>\n",
       "      <td>725</td>\n",
       "      <td>860</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.186207</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>5</td>\n",
       "      <td>176</td>\n",
       "      <td>189</td>\n",
       "      <td>0.415172</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>True</td>\n",
       "      <td>0.021038</td>\n",
       "      <td>0.008505</td>\n",
       "      <td>723</td>\n",
       "      <td>301</td>\n",
       "      <td>723</td>\n",
       "      <td>795</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.099585</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>3</td>\n",
       "      <td>246</td>\n",
       "      <td>305</td>\n",
       "      <td>0.431535</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>True</td>\n",
       "      <td>0.081827</td>\n",
       "      <td>0.012023</td>\n",
       "      <td>610</td>\n",
       "      <td>414</td>\n",
       "      <td>610</td>\n",
       "      <td>1241</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.034426</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>3</td>\n",
       "      <td>148</td>\n",
       "      <td>439</td>\n",
       "      <td>1.267213</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>True</td>\n",
       "      <td>0.068821</td>\n",
       "      <td>0.018647</td>\n",
       "      <td>772</td>\n",
       "      <td>252</td>\n",
       "      <td>772</td>\n",
       "      <td>1054</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.365285</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>5</td>\n",
       "      <td>150</td>\n",
       "      <td>216</td>\n",
       "      <td>0.546632</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>True</td>\n",
       "      <td>0.067445</td>\n",
       "      <td>0.019045</td>\n",
       "      <td>1529</td>\n",
       "      <td>971</td>\n",
       "      <td>1529</td>\n",
       "      <td>1775</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.160889</td>\n",
       "      <td>(50, 50)</td>\n",
       "      <td>6</td>\n",
       "      <td>486</td>\n",
       "      <td>325</td>\n",
       "      <td>0.470896</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>True</td>\n",
       "      <td>0.115604</td>\n",
       "      <td>0.028373</td>\n",
       "      <td>1318</td>\n",
       "      <td>1182</td>\n",
       "      <td>1318</td>\n",
       "      <td>1753</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.330046</td>\n",
       "      <td>(50, 50)</td>\n",
       "      <td>4</td>\n",
       "      <td>272</td>\n",
       "      <td>426</td>\n",
       "      <td>0.530349</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>True</td>\n",
       "      <td>0.072964</td>\n",
       "      <td>0.022566</td>\n",
       "      <td>1472</td>\n",
       "      <td>1028</td>\n",
       "      <td>1472</td>\n",
       "      <td>1793</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.218071</td>\n",
       "      <td>(50, 50)</td>\n",
       "      <td>2</td>\n",
       "      <td>282</td>\n",
       "      <td>757</td>\n",
       "      <td>0.406929</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>True</td>\n",
       "      <td>0.258785</td>\n",
       "      <td>0.160370</td>\n",
       "      <td>6042</td>\n",
       "      <td>1158</td>\n",
       "      <td>6042</td>\n",
       "      <td>6778</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.121814</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>11</td>\n",
       "      <td>998</td>\n",
       "      <td>679</td>\n",
       "      <td>0.283350</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>True</td>\n",
       "      <td>0.321109</td>\n",
       "      <td>0.076737</td>\n",
       "      <td>3680</td>\n",
       "      <td>3520</td>\n",
       "      <td>3680</td>\n",
       "      <td>4488</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.219565</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>9</td>\n",
       "      <td>916</td>\n",
       "      <td>588</td>\n",
       "      <td>0.463587</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>True</td>\n",
       "      <td>0.117326</td>\n",
       "      <td>0.089425</td>\n",
       "      <td>4383</td>\n",
       "      <td>2817</td>\n",
       "      <td>4383</td>\n",
       "      <td>4591</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.047456</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>8</td>\n",
       "      <td>950</td>\n",
       "      <td>666</td>\n",
       "      <td>0.260552</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>True</td>\n",
       "      <td>0.197512</td>\n",
       "      <td>0.076971</td>\n",
       "      <td>4161</td>\n",
       "      <td>3039</td>\n",
       "      <td>4161</td>\n",
       "      <td>4582</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.101178</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>6</td>\n",
       "      <td>814</td>\n",
       "      <td>816</td>\n",
       "      <td>0.293920</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>True</td>\n",
       "      <td>3.456840</td>\n",
       "      <td>0.769207</td>\n",
       "      <td>25866</td>\n",
       "      <td>10998</td>\n",
       "      <td>25866</td>\n",
       "      <td>28093</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.086098</td>\n",
       "      <td>(144, 256)</td>\n",
       "      <td>41</td>\n",
       "      <td>6556</td>\n",
       "      <td>828</td>\n",
       "      <td>0.336388</td>\n",
       "      <td>176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>True</td>\n",
       "      <td>1.607667</td>\n",
       "      <td>1.200225</td>\n",
       "      <td>24720</td>\n",
       "      <td>12144</td>\n",
       "      <td>24720</td>\n",
       "      <td>26385</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.067354</td>\n",
       "      <td>(144, 256)</td>\n",
       "      <td>42</td>\n",
       "      <td>4620</td>\n",
       "      <td>723</td>\n",
       "      <td>0.250850</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>True</td>\n",
       "      <td>1.076056</td>\n",
       "      <td>0.747396</td>\n",
       "      <td>36713</td>\n",
       "      <td>151</td>\n",
       "      <td>36713</td>\n",
       "      <td>37126</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.011249</td>\n",
       "      <td>(144, 256)</td>\n",
       "      <td>33</td>\n",
       "      <td>10694</td>\n",
       "      <td>1418</td>\n",
       "      <td>0.300738</td>\n",
       "      <td>329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>True</td>\n",
       "      <td>6.499334</td>\n",
       "      <td>1.322359</td>\n",
       "      <td>33385</td>\n",
       "      <td>32151</td>\n",
       "      <td>33385</td>\n",
       "      <td>37265</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.116220</td>\n",
       "      <td>(256, 256)</td>\n",
       "      <td>42</td>\n",
       "      <td>11380</td>\n",
       "      <td>1139</td>\n",
       "      <td>0.454575</td>\n",
       "      <td>274</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    success  cp_compute_time  fp_compute_time  points_to_visit  \\\n",
       "0      True         0.043412         0.030437              716   \n",
       "1      True         0.043993         0.007985              689   \n",
       "2      True         0.026824         0.012728              639   \n",
       "3      True         0.054360         0.008713              654   \n",
       "4      True         0.022051         0.012403              794   \n",
       "5      True         0.030248         0.016890              725   \n",
       "6      True         0.021038         0.008505              723   \n",
       "7      True         0.081827         0.012023              610   \n",
       "8      True         0.068821         0.018647              772   \n",
       "9      True         0.067445         0.019045             1529   \n",
       "10     True         0.115604         0.028373             1318   \n",
       "11     True         0.072964         0.022566             1472   \n",
       "12     True         0.258785         0.160370             6042   \n",
       "13     True         0.321109         0.076737             3680   \n",
       "14     True         0.117326         0.089425             4383   \n",
       "15     True         0.197512         0.076971             4161   \n",
       "16     True         3.456840         0.769207            25866   \n",
       "17     True         1.607667         1.200225            24720   \n",
       "18     True         1.076056         0.747396            36713   \n",
       "19     True         6.499334         1.322359            33385   \n",
       "\n",
       "    obstacle_points  points_visited  coverage_path_len  coverage  redundancy  \\\n",
       "0               308             716                805       1.0    0.124302   \n",
       "1               335             689                795       1.0    0.153846   \n",
       "2               385             639                762       1.0    0.192488   \n",
       "3               370             654                932       1.0    0.425076   \n",
       "4               230             794                860       1.0    0.083123   \n",
       "5               299             725                860       1.0    0.186207   \n",
       "6               301             723                795       1.0    0.099585   \n",
       "7               414             610               1241       1.0    1.034426   \n",
       "8               252             772               1054       1.0    0.365285   \n",
       "9               971            1529               1775       1.0    0.160889   \n",
       "10             1182            1318               1753       1.0    0.330046   \n",
       "11             1028            1472               1793       1.0    0.218071   \n",
       "12             1158            6042               6778       1.0    0.121814   \n",
       "13             3520            3680               4488       1.0    0.219565   \n",
       "14             2817            4383               4591       1.0    0.047456   \n",
       "15             3039            4161               4582       1.0    0.101178   \n",
       "16            10998           25866              28093       1.0    0.086098   \n",
       "17            12144           24720              26385       1.0    0.067354   \n",
       "18              151           36713              37126       1.0    0.011249   \n",
       "19            32151           33385              37265       1.0    0.116220   \n",
       "\n",
       "    area_shape  refuels  fuel_path_len  fuel_capacity  total_redundancy  \\\n",
       "0     (32, 32)       10            172             94          0.336592   \n",
       "1     (32, 32)        3            188            283          0.417997   \n",
       "2     (32, 32)        8            214            118          0.502347   \n",
       "3     (32, 32)        3            158            296          0.657492   \n",
       "4     (32, 32)        4            150            215          0.261965   \n",
       "5     (32, 32)        5            176            189          0.415172   \n",
       "6     (32, 32)        3            246            305          0.431535   \n",
       "7     (32, 32)        3            148            439          1.267213   \n",
       "8     (32, 32)        5            150            216          0.546632   \n",
       "9     (50, 50)        6            486            325          0.470896   \n",
       "10    (50, 50)        4            272            426          0.530349   \n",
       "11    (50, 50)        2            282            757          0.406929   \n",
       "12   (50, 144)       11            998            679          0.283350   \n",
       "13   (50, 144)        9            916            588          0.463587   \n",
       "14   (50, 144)        8            950            666          0.260552   \n",
       "15   (50, 144)        6            814            816          0.293920   \n",
       "16  (144, 256)       41           6556            828          0.336388   \n",
       "17  (144, 256)       42           4620            723          0.250850   \n",
       "18  (144, 256)       33          10694           1418          0.300738   \n",
       "19  (256, 256)       42          11380           1139          0.454575   \n",
       "\n",
       "    max_dist_fuel  \n",
       "0              22  \n",
       "1              59  \n",
       "2              25  \n",
       "3              57  \n",
       "4              52  \n",
       "5              44  \n",
       "6              59  \n",
       "7              89  \n",
       "8              46  \n",
       "9              70  \n",
       "10             85  \n",
       "11            152  \n",
       "12            133  \n",
       "13             99  \n",
       "14            114  \n",
       "15            141  \n",
       "16            176  \n",
       "17            141  \n",
       "18            329  \n",
       "19            274  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Using prepainted area_maps\n",
    "\"\"\"\n",
    "%time bcd_oui_fuel_test_am = single_robot_multiple(bcd, area_maps, fuel_paths=True)\n",
    "bcd_oui_fuel_test_am"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-30T18:43:31.034211Z",
     "start_time": "2020-07-30T18:43:30.933021Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
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       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
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       "}\n",
       "\n",
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       "            warnings.textContent = (\n",
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       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             success : True\n",
      "     cp_compute_time : 0.040808916091918945\n",
      "     fp_compute_time : 0.011070966720581055\n",
      "     points_to_visit : 725\n",
      "     obstacle_points : 299\n",
      "      points_visited : 725\n",
      "   coverage_path_len : 896\n",
      "            coverage : 1.0\n",
      "          redundancy : 0.2358620689655173\n",
      "          area_shape : (32, 32)\n",
      "             refuels : 4\n",
      "       fuel_path_len : 204\n",
      "       fuel_capacity : 234\n",
      "    total_redundancy : 0.5062068965517241\n",
      "       max_dist_fuel : 52\n"
     ]
    }
   ],
   "source": [
    "metrics, _ = single_robot_single(bcd, area_maps[5], animate=True, interval=4, fuel_paths=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wavefront Algorithm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Without fuel paths."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-28T21:22:37.812399Z",
     "start_time": "2020-07-28T21:22:21.145148Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4d169d05d77a46489910a4147acdfa64",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=20.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: user 25.3 s, sys: 142 ms, total: 25.4 s\n",
      "Wall time: 25.9 s\n"
     ]
    },
    {
     "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>cp_compute_time</th>\n",
       "      <th>success</th>\n",
       "      <th>points_to_visit</th>\n",
       "      <th>obstacle_points</th>\n",
       "      <th>points_visited</th>\n",
       "      <th>coverage_path_len</th>\n",
       "      <th>coverage</th>\n",
       "      <th>redundancy</th>\n",
       "      <th>area_shape</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.103377</td>\n",
       "      <td>True</td>\n",
       "      <td>716</td>\n",
       "      <td>308</td>\n",
       "      <td>716</td>\n",
       "      <td>771</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.076816</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.044060</td>\n",
       "      <td>True</td>\n",
       "      <td>689</td>\n",
       "      <td>335</td>\n",
       "      <td>689</td>\n",
       "      <td>747</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.084180</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.039281</td>\n",
       "      <td>True</td>\n",
       "      <td>639</td>\n",
       "      <td>385</td>\n",
       "      <td>639</td>\n",
       "      <td>687</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.075117</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.048845</td>\n",
       "      <td>True</td>\n",
       "      <td>654</td>\n",
       "      <td>370</td>\n",
       "      <td>654</td>\n",
       "      <td>749</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.145260</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.057563</td>\n",
       "      <td>True</td>\n",
       "      <td>794</td>\n",
       "      <td>230</td>\n",
       "      <td>794</td>\n",
       "      <td>839</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.056675</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.061015</td>\n",
       "      <td>True</td>\n",
       "      <td>725</td>\n",
       "      <td>299</td>\n",
       "      <td>725</td>\n",
       "      <td>780</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.075862</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.058403</td>\n",
       "      <td>True</td>\n",
       "      <td>723</td>\n",
       "      <td>301</td>\n",
       "      <td>723</td>\n",
       "      <td>809</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.118949</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.143846</td>\n",
       "      <td>True</td>\n",
       "      <td>610</td>\n",
       "      <td>414</td>\n",
       "      <td>610</td>\n",
       "      <td>836</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.370492</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.064156</td>\n",
       "      <td>True</td>\n",
       "      <td>772</td>\n",
       "      <td>252</td>\n",
       "      <td>772</td>\n",
       "      <td>846</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.095855</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.097987</td>\n",
       "      <td>True</td>\n",
       "      <td>1529</td>\n",
       "      <td>971</td>\n",
       "      <td>1529</td>\n",
       "      <td>1665</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.088947</td>\n",
       "      <td>(50, 50)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.128520</td>\n",
       "      <td>True</td>\n",
       "      <td>1318</td>\n",
       "      <td>1182</td>\n",
       "      <td>1318</td>\n",
       "      <td>1468</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.113809</td>\n",
       "      <td>(50, 50)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.079483</td>\n",
       "      <td>True</td>\n",
       "      <td>1472</td>\n",
       "      <td>1028</td>\n",
       "      <td>1472</td>\n",
       "      <td>1562</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.061141</td>\n",
       "      <td>(50, 50)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.754606</td>\n",
       "      <td>True</td>\n",
       "      <td>6042</td>\n",
       "      <td>1158</td>\n",
       "      <td>6042</td>\n",
       "      <td>6619</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.095498</td>\n",
       "      <td>(50, 144)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.582049</td>\n",
       "      <td>True</td>\n",
       "      <td>3680</td>\n",
       "      <td>3520</td>\n",
       "      <td>3680</td>\n",
       "      <td>4153</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.128533</td>\n",
       "      <td>(50, 144)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.197562</td>\n",
       "      <td>True</td>\n",
       "      <td>4383</td>\n",
       "      <td>2817</td>\n",
       "      <td>4383</td>\n",
       "      <td>4401</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.004107</td>\n",
       "      <td>(50, 144)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.279604</td>\n",
       "      <td>True</td>\n",
       "      <td>4161</td>\n",
       "      <td>3039</td>\n",
       "      <td>4161</td>\n",
       "      <td>4387</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.054314</td>\n",
       "      <td>(50, 144)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.655156</td>\n",
       "      <td>True</td>\n",
       "      <td>25866</td>\n",
       "      <td>10998</td>\n",
       "      <td>25866</td>\n",
       "      <td>26996</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.043687</td>\n",
       "      <td>(144, 256)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2.908794</td>\n",
       "      <td>True</td>\n",
       "      <td>24720</td>\n",
       "      <td>12144</td>\n",
       "      <td>24720</td>\n",
       "      <td>25401</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.027549</td>\n",
       "      <td>(144, 256)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2.230727</td>\n",
       "      <td>True</td>\n",
       "      <td>36713</td>\n",
       "      <td>151</td>\n",
       "      <td>36713</td>\n",
       "      <td>36852</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.003786</td>\n",
       "      <td>(144, 256)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>12.255931</td>\n",
       "      <td>True</td>\n",
       "      <td>33385</td>\n",
       "      <td>32151</td>\n",
       "      <td>33385</td>\n",
       "      <td>35815</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.072787</td>\n",
       "      <td>(256, 256)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    cp_compute_time  success  points_to_visit  obstacle_points  \\\n",
       "0          0.103377     True              716              308   \n",
       "1          0.044060     True              689              335   \n",
       "2          0.039281     True              639              385   \n",
       "3          0.048845     True              654              370   \n",
       "4          0.057563     True              794              230   \n",
       "5          0.061015     True              725              299   \n",
       "6          0.058403     True              723              301   \n",
       "7          0.143846     True              610              414   \n",
       "8          0.064156     True              772              252   \n",
       "9          0.097987     True             1529              971   \n",
       "10         0.128520     True             1318             1182   \n",
       "11         0.079483     True             1472             1028   \n",
       "12         0.754606     True             6042             1158   \n",
       "13         0.582049     True             3680             3520   \n",
       "14         0.197562     True             4383             2817   \n",
       "15         0.279604     True             4161             3039   \n",
       "16         5.655156     True            25866            10998   \n",
       "17         2.908794     True            24720            12144   \n",
       "18         2.230727     True            36713              151   \n",
       "19        12.255931     True            33385            32151   \n",
       "\n",
       "    points_visited  coverage_path_len  coverage  redundancy  area_shape  \n",
       "0              716                771       1.0    0.076816    (32, 32)  \n",
       "1              689                747       1.0    0.084180    (32, 32)  \n",
       "2              639                687       1.0    0.075117    (32, 32)  \n",
       "3              654                749       1.0    0.145260    (32, 32)  \n",
       "4              794                839       1.0    0.056675    (32, 32)  \n",
       "5              725                780       1.0    0.075862    (32, 32)  \n",
       "6              723                809       1.0    0.118949    (32, 32)  \n",
       "7              610                836       1.0    0.370492    (32, 32)  \n",
       "8              772                846       1.0    0.095855    (32, 32)  \n",
       "9             1529               1665       1.0    0.088947    (50, 50)  \n",
       "10            1318               1468       1.0    0.113809    (50, 50)  \n",
       "11            1472               1562       1.0    0.061141    (50, 50)  \n",
       "12            6042               6619       1.0    0.095498   (50, 144)  \n",
       "13            3680               4153       1.0    0.128533   (50, 144)  \n",
       "14            4383               4401       1.0    0.004107   (50, 144)  \n",
       "15            4161               4387       1.0    0.054314   (50, 144)  \n",
       "16           25866              26996       1.0    0.043687  (144, 256)  \n",
       "17           24720              25401       1.0    0.027549  (144, 256)  \n",
       "18           36713              36852       1.0    0.003786  (144, 256)  \n",
       "19           33385              35815       1.0    0.072787  (256, 256)  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Using prepainted area_maps\n",
    "\"\"\"\n",
    "%time wavefront_non_fuel_test_am = single_robot_multiple(wavefront, area_maps, no_end=True, fuel_paths=False)\n",
    "wavefront_non_fuel_test_am"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-28T21:47:29.037579Z",
     "start_time": "2020-07-28T21:45:46.250055Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "186201500bf24d30a622f22aa39fa36f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=5.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: user 2min 3s, sys: 1.03 s, total: 2min 4s\n",
      "Wall time: 2min 11s\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>cp_compute_time</th>\n",
       "      <th>success</th>\n",
       "      <th>points_to_visit</th>\n",
       "      <th>obstacle_points</th>\n",
       "      <th>points_visited</th>\n",
       "      <th>coverage_path_len</th>\n",
       "      <th>coverage</th>\n",
       "      <th>redundancy</th>\n",
       "      <th>area_shape</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.119609</td>\n",
       "      <td>True</td>\n",
       "      <td>981.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>981.0</td>\n",
       "      <td>1053.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.073394</td>\n",
       "      <td>(32, 32)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.634161</td>\n",
       "      <td>True</td>\n",
       "      <td>2389.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>2389.0</td>\n",
       "      <td>2695.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.128087</td>\n",
       "      <td>(50, 50)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.448170</td>\n",
       "      <td>True</td>\n",
       "      <td>6868.0</td>\n",
       "      <td>332.0</td>\n",
       "      <td>6868.0</td>\n",
       "      <td>8841.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.287274</td>\n",
       "      <td>(50, 144)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   cp_compute_time  success  points_to_visit  obstacle_points  points_visited  \\\n",
       "0         0.119609     True            981.0             43.0           981.0   \n",
       "1         0.634161     True           2389.0            111.0          2389.0   \n",
       "2         4.448170     True           6868.0            332.0          6868.0   \n",
       "3              NaN    False              NaN              NaN             NaN   \n",
       "4              NaN    False              NaN              NaN             NaN   \n",
       "\n",
       "   coverage_path_len  coverage  redundancy area_shape  \n",
       "0             1053.0       1.0    0.073394   (32, 32)  \n",
       "1             2695.0       1.0    0.128087   (50, 50)  \n",
       "2             8841.0       1.0    0.287274  (50, 144)  \n",
       "3                NaN       NaN         NaN        NaN  \n",
       "4                NaN       NaN         NaN        NaN  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Using randomly generated point obstacles \n",
    "with a probability of 0.04\n",
    "\n",
    "Note : some tests will fail if there are locked in regions.\n",
    "or if they are terminated cause of egregious run times.\n",
    "\"\"\"\n",
    "%time wavefront_non_fuel_test_pm = single_robot_multiple(wavefront, point_maps, no_end=True, fuel_paths=False)\n",
    "wavefront_non_fuel_test_pm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Testing on dependence on random initialization of start and center points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-26T23:38:08.132960Z",
     "start_time": "2020-07-26T23:37:15.455807Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d1d71cf4563f4f76823635ff0508e8dc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=500.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: user 49.6 s, sys: 780 ms, total: 50.4 s\n",
      "Wall time: 52.7 s\n",
      "       redundancy  coverage_path_len\n",
      "count  500.000000         500.000000\n",
      "mean     0.091366        1438.420000\n",
      "std      0.013447          17.722861\n",
      "min      0.072838        1414.000000\n",
      "25%      0.081184        1425.000000\n",
      "50%      0.088012        1434.000000\n",
      "75%      0.098634        1448.000000\n",
      "max      0.135053        1496.000000\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "Testing center point dependence, center points are randomly generated.\n",
    "\"\"\"\n",
    "area_map = area_maps[10]\n",
    "start_point = get_random_coords(area_map, 1)[0]\n",
    "%time wavefront_non_fuel_test_am_random_cp = single_robot_multiple(wavefront, [area_map] * 500, no_end=True, fuel_paths=False, start_point=start_point)\n",
    "print(wavefront_non_fuel_test_am_random_cp[[\"redundancy\",\"coverage_path_len\"]].describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-28T21:25:45.491348Z",
     "start_time": "2020-07-28T21:24:48.645123Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aabcb569208049e4b2cc740b20388260",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=500.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: user 1min 25s, sys: 1.14 s, total: 1min 26s\n",
      "Wall time: 1min 31s\n",
      "       redundancy  coverage_path_len\n",
      "count  500.000000           500.0000\n",
      "mean     0.075176          1417.0820\n",
      "std      0.010261            13.5235\n",
      "min      0.056146          1392.0000\n",
      "25%      0.068285          1408.0000\n",
      "50%      0.073596          1415.0000\n",
      "75%      0.078907          1422.0000\n",
      "max      0.125190          1483.0000\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "Testing start point dependence, start points are randomly generated.\n",
    "\"\"\"\n",
    "area_map = area_maps[10]\n",
    "center_point = get_random_coords(area_map, 1)[0]\n",
    "%time wavefront_non_fuel_test_am_random_sp = single_robot_multiple(wavefront, [area_map] * 500, no_end=True, fuel_paths=False, center_point=center_point)\n",
    "print(wavefront_non_fuel_test_am_random_sp[[\"redundancy\",\"coverage_path_len\"]].describe())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Animating path movements\n",
    "Running the test on a single area map with the animation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-28T21:42:09.432884Z",
     "start_time": "2020-07-28T21:42:09.228316Z"
    }
   },
   "outputs": [
    {
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       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
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       "                \"This browser does not support binary websocket messages. \" +\n",
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       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     cp_compute_time : 0.09020400047302246\n",
      "     points_to_visit : 772\n",
      "     obstacle_points : 252\n",
      "      points_visited : 772\n",
      "   coverage_path_len : 892\n",
      "            coverage : 1.0\n",
      "          redundancy : 0.15544041450777213\n",
      "          area_shape : (32, 32)\n"
     ]
    }
   ],
   "source": [
    "metrics, _ = single_robot_single(wavefront, area_maps[8], animate=True, interval=1, fuel_paths=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### With fuel paths."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-28T21:38:43.102693Z",
     "start_time": "2020-07-28T21:38:20.418907Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6609824a45694d9cba9f5cb7a32be98a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=20.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: user 44.6 s, sys: 321 ms, total: 44.9 s\n",
      "Wall time: 45.7 s\n"
     ]
    },
    {
     "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>success</th>\n",
       "      <th>cp_compute_time</th>\n",
       "      <th>fp_compute_time</th>\n",
       "      <th>points_to_visit</th>\n",
       "      <th>obstacle_points</th>\n",
       "      <th>points_visited</th>\n",
       "      <th>coverage_path_len</th>\n",
       "      <th>coverage</th>\n",
       "      <th>redundancy</th>\n",
       "      <th>area_shape</th>\n",
       "      <th>refuels</th>\n",
       "      <th>fuel_path_len</th>\n",
       "      <th>fuel_capacity</th>\n",
       "      <th>total_redundancy</th>\n",
       "      <th>max_dist_fuel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>True</td>\n",
       "      <td>0.099260</td>\n",
       "      <td>0.013408</td>\n",
       "      <td>716</td>\n",
       "      <td>308</td>\n",
       "      <td>716</td>\n",
       "      <td>771</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.076816</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>5</td>\n",
       "      <td>102</td>\n",
       "      <td>146</td>\n",
       "      <td>0.205307</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>True</td>\n",
       "      <td>0.045389</td>\n",
       "      <td>0.006434</td>\n",
       "      <td>689</td>\n",
       "      <td>335</td>\n",
       "      <td>689</td>\n",
       "      <td>732</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.062409</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>4</td>\n",
       "      <td>140</td>\n",
       "      <td>188</td>\n",
       "      <td>0.253991</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>True</td>\n",
       "      <td>0.029358</td>\n",
       "      <td>0.003394</td>\n",
       "      <td>639</td>\n",
       "      <td>385</td>\n",
       "      <td>639</td>\n",
       "      <td>660</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.032864</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>2</td>\n",
       "      <td>44</td>\n",
       "      <td>237</td>\n",
       "      <td>0.095462</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>0.059041</td>\n",
       "      <td>0.007520</td>\n",
       "      <td>654</td>\n",
       "      <td>370</td>\n",
       "      <td>654</td>\n",
       "      <td>748</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.143731</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>3</td>\n",
       "      <td>176</td>\n",
       "      <td>278</td>\n",
       "      <td>0.403670</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>True</td>\n",
       "      <td>0.059784</td>\n",
       "      <td>0.005304</td>\n",
       "      <td>794</td>\n",
       "      <td>230</td>\n",
       "      <td>794</td>\n",
       "      <td>835</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.051637</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>3</td>\n",
       "      <td>158</td>\n",
       "      <td>263</td>\n",
       "      <td>0.243073</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>True</td>\n",
       "      <td>0.036853</td>\n",
       "      <td>0.007372</td>\n",
       "      <td>725</td>\n",
       "      <td>299</td>\n",
       "      <td>725</td>\n",
       "      <td>764</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.053793</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>2</td>\n",
       "      <td>72</td>\n",
       "      <td>290</td>\n",
       "      <td>0.147586</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>True</td>\n",
       "      <td>0.059338</td>\n",
       "      <td>0.014238</td>\n",
       "      <td>723</td>\n",
       "      <td>301</td>\n",
       "      <td>723</td>\n",
       "      <td>801</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.107884</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>4</td>\n",
       "      <td>122</td>\n",
       "      <td>211</td>\n",
       "      <td>0.265560</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>True</td>\n",
       "      <td>0.104559</td>\n",
       "      <td>0.010339</td>\n",
       "      <td>610</td>\n",
       "      <td>414</td>\n",
       "      <td>610</td>\n",
       "      <td>879</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.440984</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "      <td>626</td>\n",
       "      <td>0.496721</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>True</td>\n",
       "      <td>0.051446</td>\n",
       "      <td>0.011016</td>\n",
       "      <td>772</td>\n",
       "      <td>252</td>\n",
       "      <td>772</td>\n",
       "      <td>839</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.086788</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>4</td>\n",
       "      <td>152</td>\n",
       "      <td>241</td>\n",
       "      <td>0.273316</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>True</td>\n",
       "      <td>0.195774</td>\n",
       "      <td>0.020033</td>\n",
       "      <td>1529</td>\n",
       "      <td>971</td>\n",
       "      <td>1529</td>\n",
       "      <td>1742</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.139307</td>\n",
       "      <td>(50, 50)</td>\n",
       "      <td>8</td>\n",
       "      <td>404</td>\n",
       "      <td>251</td>\n",
       "      <td>0.393067</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>True</td>\n",
       "      <td>0.080692</td>\n",
       "      <td>0.015816</td>\n",
       "      <td>1318</td>\n",
       "      <td>1182</td>\n",
       "      <td>1318</td>\n",
       "      <td>1398</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.060698</td>\n",
       "      <td>(50, 50)</td>\n",
       "      <td>2</td>\n",
       "      <td>440</td>\n",
       "      <td>627</td>\n",
       "      <td>0.391502</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>True</td>\n",
       "      <td>0.153856</td>\n",
       "      <td>0.009225</td>\n",
       "      <td>1472</td>\n",
       "      <td>1028</td>\n",
       "      <td>1472</td>\n",
       "      <td>1701</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.155571</td>\n",
       "      <td>(50, 50)</td>\n",
       "      <td>2</td>\n",
       "      <td>350</td>\n",
       "      <td>684</td>\n",
       "      <td>0.390625</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>True</td>\n",
       "      <td>0.905418</td>\n",
       "      <td>0.082414</td>\n",
       "      <td>6042</td>\n",
       "      <td>1158</td>\n",
       "      <td>6042</td>\n",
       "      <td>6806</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.126448</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>7</td>\n",
       "      <td>2032</td>\n",
       "      <td>1127</td>\n",
       "      <td>0.460444</td>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>True</td>\n",
       "      <td>0.483395</td>\n",
       "      <td>0.074145</td>\n",
       "      <td>3680</td>\n",
       "      <td>3520</td>\n",
       "      <td>3680</td>\n",
       "      <td>4059</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.102989</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>10</td>\n",
       "      <td>728</td>\n",
       "      <td>439</td>\n",
       "      <td>0.295380</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>True</td>\n",
       "      <td>0.202103</td>\n",
       "      <td>0.122519</td>\n",
       "      <td>4383</td>\n",
       "      <td>2817</td>\n",
       "      <td>4383</td>\n",
       "      <td>4412</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.006616</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>9</td>\n",
       "      <td>752</td>\n",
       "      <td>564</td>\n",
       "      <td>0.174082</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>True</td>\n",
       "      <td>0.448707</td>\n",
       "      <td>0.106898</td>\n",
       "      <td>4161</td>\n",
       "      <td>3039</td>\n",
       "      <td>4161</td>\n",
       "      <td>4447</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.068733</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>17</td>\n",
       "      <td>888</td>\n",
       "      <td>299</td>\n",
       "      <td>0.273973</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>True</td>\n",
       "      <td>8.131941</td>\n",
       "      <td>0.304828</td>\n",
       "      <td>25866</td>\n",
       "      <td>10998</td>\n",
       "      <td>25866</td>\n",
       "      <td>27211</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.051999</td>\n",
       "      <td>(144, 256)</td>\n",
       "      <td>16</td>\n",
       "      <td>6360</td>\n",
       "      <td>2025</td>\n",
       "      <td>0.296644</td>\n",
       "      <td>373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>True</td>\n",
       "      <td>2.927927</td>\n",
       "      <td>0.356909</td>\n",
       "      <td>24720</td>\n",
       "      <td>12144</td>\n",
       "      <td>24720</td>\n",
       "      <td>25296</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.023301</td>\n",
       "      <td>(144, 256)</td>\n",
       "      <td>19</td>\n",
       "      <td>5636</td>\n",
       "      <td>1565</td>\n",
       "      <td>0.249757</td>\n",
       "      <td>290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>True</td>\n",
       "      <td>4.287332</td>\n",
       "      <td>1.522455</td>\n",
       "      <td>36713</td>\n",
       "      <td>151</td>\n",
       "      <td>36713</td>\n",
       "      <td>36926</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.005802</td>\n",
       "      <td>(144, 256)</td>\n",
       "      <td>40</td>\n",
       "      <td>7662</td>\n",
       "      <td>1099</td>\n",
       "      <td>0.212323</td>\n",
       "      <td>227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>True</td>\n",
       "      <td>18.754454</td>\n",
       "      <td>1.694941</td>\n",
       "      <td>33385</td>\n",
       "      <td>32151</td>\n",
       "      <td>33385</td>\n",
       "      <td>35963</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.077220</td>\n",
       "      <td>(256, 256)</td>\n",
       "      <td>26</td>\n",
       "      <td>7290</td>\n",
       "      <td>1649</td>\n",
       "      <td>0.294024</td>\n",
       "      <td>321</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    success  cp_compute_time  fp_compute_time  points_to_visit  \\\n",
       "0      True         0.099260         0.013408              716   \n",
       "1      True         0.045389         0.006434              689   \n",
       "2      True         0.029358         0.003394              639   \n",
       "3      True         0.059041         0.007520              654   \n",
       "4      True         0.059784         0.005304              794   \n",
       "5      True         0.036853         0.007372              725   \n",
       "6      True         0.059338         0.014238              723   \n",
       "7      True         0.104559         0.010339              610   \n",
       "8      True         0.051446         0.011016              772   \n",
       "9      True         0.195774         0.020033             1529   \n",
       "10     True         0.080692         0.015816             1318   \n",
       "11     True         0.153856         0.009225             1472   \n",
       "12     True         0.905418         0.082414             6042   \n",
       "13     True         0.483395         0.074145             3680   \n",
       "14     True         0.202103         0.122519             4383   \n",
       "15     True         0.448707         0.106898             4161   \n",
       "16     True         8.131941         0.304828            25866   \n",
       "17     True         2.927927         0.356909            24720   \n",
       "18     True         4.287332         1.522455            36713   \n",
       "19     True        18.754454         1.694941            33385   \n",
       "\n",
       "    obstacle_points  points_visited  coverage_path_len  coverage  redundancy  \\\n",
       "0               308             716                771       1.0    0.076816   \n",
       "1               335             689                732       1.0    0.062409   \n",
       "2               385             639                660       1.0    0.032864   \n",
       "3               370             654                748       1.0    0.143731   \n",
       "4               230             794                835       1.0    0.051637   \n",
       "5               299             725                764       1.0    0.053793   \n",
       "6               301             723                801       1.0    0.107884   \n",
       "7               414             610                879       1.0    0.440984   \n",
       "8               252             772                839       1.0    0.086788   \n",
       "9               971            1529               1742       1.0    0.139307   \n",
       "10             1182            1318               1398       1.0    0.060698   \n",
       "11             1028            1472               1701       1.0    0.155571   \n",
       "12             1158            6042               6806       1.0    0.126448   \n",
       "13             3520            3680               4059       1.0    0.102989   \n",
       "14             2817            4383               4412       1.0    0.006616   \n",
       "15             3039            4161               4447       1.0    0.068733   \n",
       "16            10998           25866              27211       1.0    0.051999   \n",
       "17            12144           24720              25296       1.0    0.023301   \n",
       "18              151           36713              36926       1.0    0.005802   \n",
       "19            32151           33385              35963       1.0    0.077220   \n",
       "\n",
       "    area_shape  refuels  fuel_path_len  fuel_capacity  total_redundancy  \\\n",
       "0     (32, 32)        5            102            146          0.205307   \n",
       "1     (32, 32)        4            140            188          0.253991   \n",
       "2     (32, 32)        2             44            237          0.095462   \n",
       "3     (32, 32)        3            176            278          0.403670   \n",
       "4     (32, 32)        3            158            263          0.243073   \n",
       "5     (32, 32)        2             72            290          0.147586   \n",
       "6     (32, 32)        4            122            211          0.265560   \n",
       "7     (32, 32)        1             36            626          0.496721   \n",
       "8     (32, 32)        4            152            241          0.273316   \n",
       "9     (50, 50)        8            404            251          0.393067   \n",
       "10    (50, 50)        2            440            627          0.391502   \n",
       "11    (50, 50)        2            350            684          0.390625   \n",
       "12   (50, 144)        7           2032           1127          0.460444   \n",
       "13   (50, 144)       10            728            439          0.295380   \n",
       "14   (50, 144)        9            752            564          0.174082   \n",
       "15   (50, 144)       17            888            299          0.273973   \n",
       "16  (144, 256)       16           6360           2025          0.296644   \n",
       "17  (144, 256)       19           5636           1565          0.249757   \n",
       "18  (144, 256)       40           7662           1099          0.212323   \n",
       "19  (256, 256)       26           7290           1649          0.294024   \n",
       "\n",
       "    max_dist_fuel  \n",
       "0              28  \n",
       "1              41  \n",
       "2              46  \n",
       "3              47  \n",
       "4              54  \n",
       "5              54  \n",
       "6              40  \n",
       "7             123  \n",
       "8              50  \n",
       "9              53  \n",
       "10            147  \n",
       "11            157  \n",
       "12            250  \n",
       "13             76  \n",
       "14            115  \n",
       "15             56  \n",
       "16            373  \n",
       "17            290  \n",
       "18            227  \n",
       "19            321  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Using prepainted area_maps\n",
    "\"\"\"\n",
    "%time wavefront_oui_fuel_test_am = single_robot_multiple(wavefront, area_maps, no_end=True, fuel_paths=True)\n",
    "wavefront_oui_fuel_test_am"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-26T23:12:20.925162Z",
     "start_time": "2020-07-26T23:05:03.596647Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e67bac9c6a2e4a5497282091468a3d50",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=5.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "CPU times: user 7min 6s, sys: 2.26 s, total: 7min 8s\n",
      "Wall time: 7min 17s\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>success</th>\n",
       "      <th>cp_compute_time</th>\n",
       "      <th>fp_compute_time</th>\n",
       "      <th>points_to_visit</th>\n",
       "      <th>obstacle_points</th>\n",
       "      <th>points_visited</th>\n",
       "      <th>coverage_path_len</th>\n",
       "      <th>coverage</th>\n",
       "      <th>redundancy</th>\n",
       "      <th>area_shape</th>\n",
       "      <th>refuels</th>\n",
       "      <th>fuel_path_len</th>\n",
       "      <th>fuel_capacity</th>\n",
       "      <th>total_redundancy</th>\n",
       "      <th>max_dist_fuel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>True</td>\n",
       "      <td>0.137538</td>\n",
       "      <td>0.012703</td>\n",
       "      <td>974</td>\n",
       "      <td>50</td>\n",
       "      <td>974</td>\n",
       "      <td>1117</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.146817</td>\n",
       "      <td>(32, 32)</td>\n",
       "      <td>6</td>\n",
       "      <td>224</td>\n",
       "      <td>203</td>\n",
       "      <td>0.364476</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>True</td>\n",
       "      <td>0.382540</td>\n",
       "      <td>0.053559</td>\n",
       "      <td>2381</td>\n",
       "      <td>119</td>\n",
       "      <td>2381</td>\n",
       "      <td>2676</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.123898</td>\n",
       "      <td>(50, 50)</td>\n",
       "      <td>12</td>\n",
       "      <td>646</td>\n",
       "      <td>262</td>\n",
       "      <td>0.385132</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>True</td>\n",
       "      <td>5.015504</td>\n",
       "      <td>0.088129</td>\n",
       "      <td>6853</td>\n",
       "      <td>347</td>\n",
       "      <td>6853</td>\n",
       "      <td>8318</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.213775</td>\n",
       "      <td>(50, 144)</td>\n",
       "      <td>12</td>\n",
       "      <td>1514</td>\n",
       "      <td>771</td>\n",
       "      <td>0.431198</td>\n",
       "      <td>164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>148.838211</td>\n",
       "      <td>0.519548</td>\n",
       "      <td>34919</td>\n",
       "      <td>1801</td>\n",
       "      <td>34919</td>\n",
       "      <td>44234</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.266760</td>\n",
       "      <td>(144, 255)</td>\n",
       "      <td>29</td>\n",
       "      <td>9558</td>\n",
       "      <td>1817</td>\n",
       "      <td>0.538818</td>\n",
       "      <td>344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>True</td>\n",
       "      <td>271.510691</td>\n",
       "      <td>5.097264</td>\n",
       "      <td>62238</td>\n",
       "      <td>3298</td>\n",
       "      <td>62238</td>\n",
       "      <td>77496</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.245156</td>\n",
       "      <td>(256, 256)</td>\n",
       "      <td>60</td>\n",
       "      <td>10788</td>\n",
       "      <td>1452</td>\n",
       "      <td>0.416562</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   success  cp_compute_time  fp_compute_time  points_to_visit  \\\n",
       "0     True         0.137538         0.012703              974   \n",
       "1     True         0.382540         0.053559             2381   \n",
       "2     True         5.015504         0.088129             6853   \n",
       "3     True       148.838211         0.519548            34919   \n",
       "4     True       271.510691         5.097264            62238   \n",
       "\n",
       "   obstacle_points  points_visited  coverage_path_len  coverage  redundancy  \\\n",
       "0               50             974               1117       1.0    0.146817   \n",
       "1              119            2381               2676       1.0    0.123898   \n",
       "2              347            6853               8318       1.0    0.213775   \n",
       "3             1801           34919              44234       1.0    0.266760   \n",
       "4             3298           62238              77496       1.0    0.245156   \n",
       "\n",
       "   area_shape  refuels  fuel_path_len  fuel_capacity  total_redundancy  \\\n",
       "0    (32, 32)        6            224            203          0.364476   \n",
       "1    (50, 50)       12            646            262          0.385132   \n",
       "2   (50, 144)       12           1514            771          0.431198   \n",
       "3  (144, 255)       29           9558           1817          0.538818   \n",
       "4  (256, 256)       60          10788           1452          0.416562   \n",
       "\n",
       "   max_dist_fuel  \n",
       "0             41  \n",
       "1             55  \n",
       "2            164  \n",
       "3            344  \n",
       "4            246  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Using randomly generated point obstacles \n",
    "with a probability of 0.04\n",
    "\n",
    "Didn't interrupt, point obstacles lead to high redundancy and compute time.\n",
    "\"\"\"\n",
    "run = True\n",
    "point_maps = [generate_point_obstacles(am,p=0.05) for am in generate_no_obs_area_map()]\n",
    "for p in point_maps:\n",
    "    if has_isolated_areas(p):\n",
    "        run = False\n",
    "        break\n",
    "if run:\n",
    "    %time wavefront_non_fuel_test_pm = single_robot_multiple(wavefront, point_maps)\n",
    "wavefront_non_fuel_test_pm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-28T21:43:56.971373Z",
     "start_time": "2020-07-28T21:43:56.854182Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             success : True\n",
      "     cp_compute_time : 0.19532418251037598\n",
      "     fp_compute_time : 0.029817819595336914\n",
      "     points_to_visit : 1529\n",
      "     obstacle_points : 971\n",
      "      points_visited : 1529\n",
      "   coverage_path_len : 1682\n",
      "            coverage : 1.0\n",
      "          redundancy : 0.10006540222367555\n",
      "          area_shape : (50, 50)\n",
      "             refuels : 7\n",
      "       fuel_path_len : 254\n",
      "       fuel_capacity : 262\n",
      "    total_redundancy : 0.25703073904512763\n",
      "       max_dist_fuel : 44\n"
     ]
    }
   ],
   "source": [
    "metrics, _ = single_robot_single(wavefront, area_maps[9], animate=True, interval=1, fuel_paths=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}