diff options
Diffstat (limited to 'analiza')
| -rw-r--r-- | analiza/zvezek.ipynb | 3489 |
1 files changed, 2746 insertions, 743 deletions
diff --git a/analiza/zvezek.ipynb b/analiza/zvezek.ipynb index 1731b4c..1b832e2 100644 --- a/analiza/zvezek.ipynb +++ b/analiza/zvezek.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 118, + "execution_count": 1, "id": "7e32a042", "metadata": { "scrolled": false @@ -15,7 +15,7 @@ "......\n", "fixed bad single file torrent 4f269d8aefd647ee270842d53ec98aebd23a4afe\n", "fixed bad single file torrent 7b09ae0b612dafc1744562dccbbe4becf4d633c3\n", - "35109 @ 70.98992924904451 s\n" + "37769 @ 434.7589800900314 s\n" ] } ], @@ -124,7 +124,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 30, "id": "e170de45", "metadata": { "scrolled": false @@ -1101,7 +1101,7 @@ { "data": { "text/html": [ - "<img 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\" 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width=\"1574\">" ], "text/plain": [ "<IPython.core.display.HTML object>" @@ -1114,7 +1114,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.17794210999272764 za 64 različnih odjemalcev\n" + "0.22313746600411832 za 67 različnih odjemalcev\n" ] } ], @@ -1146,19 +1146,23 @@ " trueodj[key] = value\n", " trueodj = [(v, k) for k, v in trueodj.items()]\n", " return trueodj, count\n", - "odjemalci, count = uas(True, minrepr=0.005*len(torrents))\n", - "odjemalci = sorted(odjemalci, reverse=True)\n", + "odjemalci, count = uas(True, minrepr=0*len(torrents))\n", + "odjemalci = sorted(odjemalci, reverse=False)\n", "from matplotlib import pyplot\n", "%matplotlib notebook\n", "fig, axes = pyplot.subplots()\n", - "axes.pie([sights for sights, name in odjemalci], labels=[name for sights, name in odjemalci])\n", + "from math import log\n", + "# axes.pie([log(sights) if sights else 0 for sights, name in odjemalci], labels=[name for sights, name in odjemalci])\n", + "axes.barh([name if name is not None else \"neznan\" for sights, name in odjemalci], [sights for sights, name in odjemalci])\n", + "axes.set_title(\"log skala odjemalcev\")\n", + "pyplot.xscale(\"log\")\n", "fig.show()\n", "print(monotonic()-s, \"za\", count, \"različnih odjemalcev\")" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 31, "id": "52de34d6", "metadata": {}, "outputs": [ @@ -1166,7 +1170,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.13192449719645083 s 39\n" + "0.15033814194612205 s 40\n" ] }, { @@ -2140,7 +2144,7 @@ { "data": { "text/html": [ - "<img 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\" 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right;\"> 10</td></tr>\\n<tr><td>olo </td><td style=\"text-align: right;\"> 10</td></tr>\\n<tr><td>[animelayer.ru] Animelayer </td><td style=\"text-align: right;\"> 10</td></tr>\\n<tr><td>https://discord.gg/vbJ7RTn </td><td style=\"text-align: right;\"> 10</td></tr>\\n<tr><td>b'\\\\xb3\\\\xcc\\\\xb7sAV \\\\xa4\\\\xd1\\\\xaa\\\\xc5\\\\xbd\\\\xd7\\\\xbe\\\\xc2 IP' </td><td style=\"text-align: right;\"> 10</td></tr>\\n<tr><td>PiRaX @ TamilBlasters.Net </td><td style=\"text-align: right;\"> 10</td></tr>\\n<tr><td>nyaa001 </td><td style=\"text-align: right;\"> 9</td></tr>\\n<tr><td>b'dioguitar23(\\\\xb2\\\\xc4\\\\xa4\\\\xbb\\\\xa4\\\\xd1\\\\xc5]\\\\xa4\\\\xfd)\\\\xad\\\\xec\\\\xb3\\\\xd0' </td><td style=\"text-align: right;\"> 9</td></tr>\\n<tr><td>orion </td><td style=\"text-align: right;\"> 9</td></tr>\\n<tr><td>愛在黑夜001 </td><td style=\"text-align: right;\"> 9</td></tr>\\n<tr><td>Zelka.ORG </td><td style=\"text-align: right;\"> 8</td></tr>\\n<tr><td>约战竞技场 </td><td style=\"text-align: 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style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>Torrent Galaxy </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>萤火虫IT服务全国连锁 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>葬爱@18p2p </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>贴心话 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>xuerui810405 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>SoulSeek </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>abbt@18p2p.com </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>深深可许@第一会所 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>lixuhua </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>b'\\\\xcc\\\\x93\\\\x9fo' </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>animekayo.com </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>qiupianhao </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>173489627 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>wak11110@18P2P </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>[http://hdtracker.org] HD TRACKER </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>www.eien-acg.com </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>index0123 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>hndwje </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>http://www.meitubb.com/forum.php </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>最新地址 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>https://anidb.net/file/3082403 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>更多精彩 @ 卡卡拉 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>olo@第一会所 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>https://e-hentai.org/g/2255154/778b4d24e6/ </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>sujinding@第一会所 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>MKO </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>chleicool=fym0624=patpat608 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>撸二九论坛 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>flybird186 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>b'[http://hdclub.org] \\\\xd2\\\\xf0\\\\xe5\\\\xea\\\\xe5\\\\xf0 HDClub - \\\\xf1\\\\xea\\\\xe0\\\\xf7\\\\xe0\\\\xf2\\\\xfc \\\\xe1\\\\xe5\\\\xf1\\\\xef\\\\xeb\\\\xe0\\\\xf2\\\\xed\\\\xee \\\\xf4\\\\xe8\\\\xeb\\\\xfc\\\\xec\\\\xfb HD, \\\\xf1\\\\xea\\\\xe0\\\\xf7\\\\xe0\\\\xf2\\\\xfc Blu-ray \\\\xf4\\\\xe8\\\\xeb\\\\xfc\\\\xec\\\\xfb, HD DVD \\\\xe8 HD audio, HDTV \\\\xf2\\\\xee\\\\xf0\\\\xf0\\\\xe5\\\\xed\\\\xf2'</td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>https://www.omgyes.com </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>DVD 2008 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>b'[http://uniongang.tv] \\\\xd4\\\\xe8\\\\xeb\\\\xfc\\\\xec\\\\xfb \\\\xee\\\\xf2 ELEKTRI4KA | \\\\xdd\\\\xcb\\\\xc5\\\\xca\\\\xd2\\\\xd0\\\\xc8\\\\xd7\\\\xca\\\\xc0 \\\\xed\\\\xe0 Uniongang' </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>>亞捷視圖< </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>b'\\\\xb9\\\\xfd\\\\xc5\\\\xab\\\\xd6\\\\xc6\\\\xd4\\\\xec\\\\xb2\\\\xa9\\\\xbf\\\\xcd' </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>3267506 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>中国电信 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>9clonely </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>b'\\\\xd2\\\\xf9\\\\xc3\\\\xf1\\\\xcd\\\\xf2\\\\xcb\\\\xea' </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>幸运流星@四仔论坛 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>Lista Espiritualista </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>雪光梦想 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>https://exhentai.org/g/1964478/8ed0a899ca </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>olo@sis001 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>3zi@第一會所 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>Andy </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>b'\\\\xb7\\\\xd6\\\\xcf\\\\xed' </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>24262830. </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>食色性者 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>aj11@mimip2p.net </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>srwH </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>鴻仔 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>校园迷糊大王 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>WCG </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>b'(\\\\xd3\\\\xf4\\\\xc3\\\\xc6)\\\\xb0\\\\xae\\\\xbf\\\\xb4\\\\xb5\\\\xe7\\\\xd3\\\\xb0' </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>kiva@18p2p </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>b'\\\\xbb\\\\xd8\\\\xbc\\\\xd2001@18p2p' </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>ffxx </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>judexkwok(SIS) </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>chikan@T66Y </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>瑞倪维儿护肤专卖 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>auriga@18p2p </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>yinchong818@(sis) </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>ntlv0@hotmail.com </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>酷安 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>jav20s8.com/ </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>JPopsuki 2.0 14486345 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>若無其事@18p2p </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>b'stormly+taitan12+zhaoZero41+chinami2002+glen246+faberge@darkeagle-\\\\xbax\\\\x84\\\\xf0\\\\xaa\\\\xc0' </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>CMCT团队荣誉出品 </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>kennyboy </td><td style=\"text-align: right;\"> 1</td></tr>\\n<tr><td>2AV.COM </td><td style=\"text-align: right;\"> 1</td></tr>\\n</tbody>\\n</table>'" ] }, - "execution_count": 45, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -2954,17 +3008,26 @@ "sources = sources()\n", "sort = sorted(sources, reverse=True, key=lambda x:sources[x])\n", "sort.remove(None)\n", - "print(monotonic()-s, \"s\", sources[None]/len(torrents)*100, \"brez ključa source, publisher ali publisher-url\")\n", + "print(monotonic()-s, \"s\", sources[None]/len(torrents)*100, \"brez ključa source, publisher ali publisher-url\", len(sources), \"virov\")\n", "from tabulate import tabulate\n", "tabulate([[x, sources[x]] for x in sort], tablefmt=\"html\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "4bd1f517", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "...\n", + "8.8120769248344 s 284089 različnih tipov v 2515100 datotekah in 203.7606503055813 TiB\n" + ] + } + ], "source": [ "s = monotonic()\n", "def removeminorities(population, minrepr=0, ostalo=\"ostalo\"):\n", @@ -3023,13 +3086,13 @@ " data = [(v, k) for k, v in data.items()]\n", " return truebycount, truebysize, truebysizerepresentative, len(bycount), filescount, bytescount\n", "print(\"...\")\n", - "bycount, bysize, bysizerepresentative, kinds, filescount, bytescount = ext(False, 0.001)\n", - "print(monotonic()-s, \"s\", count, \"različnih tipov v\", filescount, \"datotekah in\", bytescount/(1024**4), \"TiB\")" + "bycount, bysize, bysizerepresentative, kinds, filescount, bytescount = ext(False, 0.0005)\n", + "print(monotonic()-s, \"s\", kinds, \"različnih tipov v\", filescount, \"datotekah in\", bytescount/(1024**4), \"TiB\")" ] }, { "cell_type": "code", - "execution_count": 132, + "execution_count": 3, "id": "82ab922a", "metadata": {}, "outputs": [ @@ -4004,7 +4067,7 @@ { "data": { "text/html": [ - "<img 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\" 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width=\"881\">" ], "text/plain": [ "<IPython.core.display.HTML object>" @@ -4014,24 +4077,1964 @@ "output_type": "display_data" }, { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[132], line 9\u001b[0m\n\u001b[1;32m 7\u001b[0m fig, axes \u001b[38;5;241m=\u001b[39m pyplot\u001b[38;5;241m.\u001b[39msubplots()\n\u001b[1;32m 8\u001b[0m \u001b[38;5;66;03m# axes.pie([data[1][key] for key in data[0]], labels=data[0])\u001b[39;00m\n\u001b[0;32m----> 9\u001b[0m \u001b[43maxes\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbarh\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m 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691\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 692\u001b[0m \u001b[38;5;124;03m Parameters\u001b[39;00m\n\u001b[1;32m 693\u001b[0m \u001b[38;5;124;03m ----------\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 710\u001b[0m \u001b[38;5;124;03m %(Patch:kwdoc)s\u001b[39;00m\n\u001b[1;32m 711\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 712\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 713\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_x0 \u001b[38;5;241m=\u001b[39m xy[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m 714\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_y0 \u001b[38;5;241m=\u001b[39m xy[\u001b[38;5;241m1\u001b[39m]\n", - "File \u001b[0;32m/usr/lib/python3.10/site-packages/matplotlib/_api/deprecation.py:454\u001b[0m, in \u001b[0;36mmake_keyword_only.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 448\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m name_idx:\n\u001b[1;32m 449\u001b[0m warn_deprecated(\n\u001b[1;32m 450\u001b[0m since, message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPassing the \u001b[39m\u001b[38;5;132;01m%(name)s\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m%(obj_type)s\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 451\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpositionally is deprecated since Matplotlib \u001b[39m\u001b[38;5;132;01m%(since)s\u001b[39;00m\u001b[38;5;124m; the \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 452\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mparameter will become keyword-only \u001b[39m\u001b[38;5;132;01m%(removal)s\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 453\u001b[0m name\u001b[38;5;241m=\u001b[39mname, obj_type\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mparameter of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m()\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 454\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/usr/lib/python3.10/site-packages/matplotlib/patches.py:98\u001b[0m, in \u001b[0;36mPatch.__init__\u001b[0;34m(self, edgecolor, facecolor, color, linewidth, linestyle, antialiased, hatch, fill, capstyle, joinstyle, **kwargs)\u001b[0m\n\u001b[1;32m 95\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_joinstyle(joinstyle)\n\u001b[1;32m 97\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(kwargs):\n\u001b[0;32m---> 98\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_internal_update\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/usr/lib/python3.10/site-packages/matplotlib/artist.py:1186\u001b[0m, in \u001b[0;36mArtist._internal_update\u001b[0;34m(self, kwargs)\u001b[0m\n\u001b[1;32m 1179\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_internal_update\u001b[39m(\u001b[38;5;28mself\u001b[39m, kwargs):\n\u001b[1;32m 1180\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1181\u001b[0m \u001b[38;5;124;03m Update artist properties without prenormalizing them, but generating\u001b[39;00m\n\u001b[1;32m 1182\u001b[0m \u001b[38;5;124;03m errors as if calling `set`.\u001b[39;00m\n\u001b[1;32m 1183\u001b[0m \n\u001b[1;32m 1184\u001b[0m \u001b[38;5;124;03m The lack of prenormalization is to maintain backcompatibility.\u001b[39;00m\n\u001b[1;32m 1185\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1186\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_props\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1187\u001b[0m \u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;132;43;01m{cls.__name__}\u001b[39;49;00m\u001b[38;5;124;43m.set() got an unexpected keyword argument \u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[1;32m 1188\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;132;43;01m{prop_name!r}\u001b[39;49;00m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/usr/lib/python3.10/site-packages/matplotlib/artist.py:1151\u001b[0m, in \u001b[0;36mArtist._update_props\u001b[0;34m(self, props, errfmt)\u001b[0m\n\u001b[1;32m 1144\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1145\u001b[0m \u001b[38;5;124;03mHelper for `.Artist.set` and `.Artist.update`.\u001b[39;00m\n\u001b[1;32m 1146\u001b[0m \n\u001b[1;32m 1147\u001b[0m \u001b[38;5;124;03m*errfmt* is used to generate error messages for invalid property\u001b[39;00m\n\u001b[1;32m 1148\u001b[0m \u001b[38;5;124;03mnames; it get formatted with ``type(self)`` and the property name.\u001b[39;00m\n\u001b[1;32m 1149\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1150\u001b[0m ret \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m-> 1151\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m cbook\u001b[38;5;241m.\u001b[39m_setattr_cm(\u001b[38;5;28mself\u001b[39m, eventson\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[1;32m 1152\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m k, v \u001b[38;5;129;01min\u001b[39;00m props\u001b[38;5;241m.\u001b[39mitems():\n\u001b[1;32m 1153\u001b[0m \u001b[38;5;66;03m# Allow attributes we want to be able to update through\u001b[39;00m\n\u001b[1;32m 1154\u001b[0m \u001b[38;5;66;03m# art.update, art.set, setp.\u001b[39;00m\n\u001b[1;32m 1155\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m k \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124maxes\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n", - "\u001b[0;31mKeyboardInterrupt\u001b[0m: " - ] + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\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(\n", + " '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", + "\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 = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(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 (fig.ratio !== 1) {\n", + " fig.send_message('set_device_pixel_ratio', {\n", + " device_pixel_ratio: fig.ratio,\n", + " });\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 = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute('tabindex', '0');\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;' +\n", + " 'z-index: 2;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box;' +\n", + " 'pointer-events: none;' +\n", + " 'position: relative;' +\n", + " 'z-index: 0;'\n", + " );\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box;' +\n", + " 'left: 0;' +\n", + " 'pointer-events: none;' +\n", + " 'position: absolute;' +\n", + " 'top: 0;' +\n", + " 'z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " /* This rescales the canvas back to display pixels, so that it\n", + " * appears correct on HiDPI screens. */\n", + " canvas.style.width = width + 'px';\n", + " canvas.style.height = height + 'px';\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " /* User Agent sniffing is bad, but WebKit is busted:\n", + " * https://bugs.webkit.org/show_bug.cgi?id=144526\n", + " * https://bugs.webkit.org/show_bug.cgi?id=181818\n", + " * The worst that happens here is that they get an extra browser\n", + " * selection when dragging, if this check fails to catch them.\n", + " */\n", + " var UA = navigator.userAgent;\n", + " var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n", + " if(isWebKit) {\n", + " return function (event) {\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We\n", + " * want to control all of the cursor setting manually through\n", + " * the 'cursor' event from matplotlib */\n", + " event.preventDefault()\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " } else {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'dblclick',\n", + " on_mouse_event_closure('dblclick')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " canvas_div.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " canvas_div.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " canvas_div.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\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 toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\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", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\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", + "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", + "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], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\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", + " fig.canvas_div.style.cursor = msg['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.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\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", + " var img = evt.data;\n", + " if (img.type !== 'image/png') {\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", + " img.type = 'image/png';\n", + " }\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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " img\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\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(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\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(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * https://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", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " // from https://stackoverflow.com/q/1114465\n", + " var boundingRect = this.canvas.getBoundingClientRect();\n", + " var x = (event.clientX - boundingRect.left) * this.ratio;\n", + " var y = (event.clientY - boundingRect.top) * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\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", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.key === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.key;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.key !== 'Control') {\n", + " value += 'ctrl+';\n", + " }\n", + " else if (event.altKey && event.key !== 'Alt') {\n", + " value += 'alt+';\n", + " }\n", + " else if (event.shiftKey && event.key !== 'Shift') {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k' + event.key;\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, 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", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "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.binaryType = comm.kernel.ws.binaryType;\n", + " ws.readyState = comm.kernel.ws.readyState;\n", + " function updateReadyState(_event) {\n", + " if (comm.kernel.ws) {\n", + " ws.readyState = comm.kernel.ws.readyState;\n", + " } else {\n", + " ws.readyState = 3; // Closed state.\n", + " }\n", + " }\n", + " comm.kernel.ws.addEventListener('open', updateReadyState);\n", + " comm.kernel.ws.addEventListener('close', updateReadyState);\n", + " comm.kernel.ws.addEventListener('error', updateReadyState);\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", + " var data = msg['content']['data'];\n", + " if (data['blob'] !== undefined) {\n", + " data = {\n", + " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", + " };\n", + " }\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n", + " '<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 / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '<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 () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\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", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('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", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\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", + "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(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "<IPython.core.display.Javascript object>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "<img 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\" width=\"640\">" + ], + "text/plain": [ + "<IPython.core.display.HTML object>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\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(\n", + " '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", + "\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 = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(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 (fig.ratio !== 1) {\n", + " fig.send_message('set_device_pixel_ratio', {\n", + " device_pixel_ratio: fig.ratio,\n", + " });\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 = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute('tabindex', '0');\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;' +\n", + " 'z-index: 2;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box;' +\n", + " 'pointer-events: none;' +\n", + " 'position: relative;' +\n", + " 'z-index: 0;'\n", + " );\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box;' +\n", + " 'left: 0;' +\n", + " 'pointer-events: none;' +\n", + " 'position: absolute;' +\n", + " 'top: 0;' +\n", + " 'z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " /* This rescales the canvas back to display pixels, so that it\n", + " * appears correct on HiDPI screens. */\n", + " canvas.style.width = width + 'px';\n", + " canvas.style.height = height + 'px';\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " /* User Agent sniffing is bad, but WebKit is busted:\n", + " * https://bugs.webkit.org/show_bug.cgi?id=144526\n", + " * https://bugs.webkit.org/show_bug.cgi?id=181818\n", + " * The worst that happens here is that they get an extra browser\n", + " * selection when dragging, if this check fails to catch them.\n", + " */\n", + " var UA = navigator.userAgent;\n", + " var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n", + " if(isWebKit) {\n", + " return function (event) {\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We\n", + " * want to control all of the cursor setting manually through\n", + " * the 'cursor' event from matplotlib */\n", + " event.preventDefault()\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " } else {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'dblclick',\n", + " on_mouse_event_closure('dblclick')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " canvas_div.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " canvas_div.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " canvas_div.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\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 toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\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", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\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", + "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", + "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], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\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", + " fig.canvas_div.style.cursor = msg['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.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\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", + " var img = evt.data;\n", + " if (img.type !== 'image/png') {\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", + " img.type = 'image/png';\n", + " }\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", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " img\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\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(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\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(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * https://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", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " // from https://stackoverflow.com/q/1114465\n", + " var boundingRect = this.canvas.getBoundingClientRect();\n", + " var x = (event.clientX - boundingRect.left) * this.ratio;\n", + " var y = (event.clientY - boundingRect.top) * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\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", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.key === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.key;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.key !== 'Control') {\n", + " value += 'ctrl+';\n", + " }\n", + " else if (event.altKey && event.key !== 'Alt') {\n", + " value += 'alt+';\n", + " }\n", + " else if (event.shiftKey && event.key !== 'Shift') {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k' + event.key;\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, 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", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "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.binaryType = comm.kernel.ws.binaryType;\n", + " ws.readyState = comm.kernel.ws.readyState;\n", + " function updateReadyState(_event) {\n", + " if (comm.kernel.ws) {\n", + " ws.readyState = comm.kernel.ws.readyState;\n", + " } else {\n", + " ws.readyState = 3; // Closed state.\n", + " }\n", + " }\n", + " comm.kernel.ws.addEventListener('open', updateReadyState);\n", + " comm.kernel.ws.addEventListener('close', updateReadyState);\n", + " comm.kernel.ws.addEventListener('error', updateReadyState);\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", + " var data = msg['content']['data'];\n", + " if (data['blob'] !== undefined) {\n", + " data = {\n", + " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", + " };\n", + " }\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(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 = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n", + " '<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 / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '<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 () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\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", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('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", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\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", + "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(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "<IPython.core.display.Javascript object>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "<img 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