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      1 {
      2  "cells": [
      3   {
      4    "cell_type": "markdown",
      5    "metadata": {
      6     "deletable": true,
      7     "editable": true
      8    },
      9    "source": [
     10     "# Hardware simulators - gem5 target support\n",
     11     "The gem5 simulator is a modular platform for computer-system architecture research, encompassing system-level architecture as well as processor microarchitecture.\n",
     12     "\n",
     13     "Before creating the gem5 target, the inputs needed by gem5 should have been created (eg gem5 binary, kernel suitable for gem5, disk image, device tree blob, etc). For more information, see [GEM5 - Main Page](http://gem5.org/Main_Page)."
     14    ]
     15   },
     16   {
     17    "cell_type": "markdown",
     18    "metadata": {
     19     "deletable": true,
     20     "editable": true
     21    },
     22    "source": [
     23     "# Environment setup"
     24    ]
     25   },
     26   {
     27    "cell_type": "code",
     28    "execution_count": 1,
     29    "metadata": {
     30     "collapsed": false,
     31     "deletable": true,
     32     "editable": true
     33    },
     34    "outputs": [
     35     {
     36      "name": "stderr",
     37      "output_type": "stream",
     38      "text": [
     39       "2017-07-19 09:55:37,733 INFO    : root         : Using LISA logging configuration:\n",
     40       "2017-07-19 09:55:37,733 INFO    : root         :   /home/vagrant/lisa/logging.conf\n"
     41      ]
     42     }
     43    ],
     44    "source": [
     45     "from conf import LisaLogging\n",
     46     "LisaLogging.setup()"
     47    ]
     48   },
     49   {
     50    "cell_type": "code",
     51    "execution_count": 2,
     52    "metadata": {
     53     "collapsed": false,
     54     "deletable": true,
     55     "editable": true
     56    },
     57    "outputs": [
     58     {
     59      "name": "stderr",
     60      "output_type": "stream",
     61      "text": [
     62       "2017-07-19 09:55:39,016 WARNING : EnergyModel  : Unusual max capacity (1023), overriding capacity_scale\n"
     63      ]
     64     }
     65    ],
     66    "source": [
     67     "# One initial cell for imports\n",
     68     "import json\n",
     69     "import logging\n",
     70     "import os\n",
     71     "\n",
     72     "from env import TestEnv\n",
     73     "\n",
     74     "# Suport for FTrace events parsing and visualization\n",
     75     "import trappy\n",
     76     "from trappy.ftrace import FTrace\n",
     77     "from trace import Trace\n",
     78     "\n",
     79     "# Support for plotting\n",
     80     "# Generate plots inline\n",
     81     "%matplotlib inline\n",
     82     "import numpy\n",
     83     "import pandas as pd\n",
     84     "import matplotlib.pyplot as plt"
     85    ]
     86   },
     87   {
     88    "cell_type": "markdown",
     89    "metadata": {
     90     "collapsed": true,
     91     "deletable": true,
     92     "editable": true
     93    },
     94    "source": [
     95     "# Target configuration\n",
     96     "The definitions below need to be changed to the paths pointing to the gem5 binaries on your development machine.\n",
     97     "M5_PATH needs to be set in your environment"
     98    ]
     99   },
    100   {
    101    "cell_type": "markdown",
    102    "metadata": {
    103     "deletable": true,
    104     "editable": true
    105    },
    106    "source": [
    107     "   - **platform** - the currently supported platforms are:\n",
    108     "        - linux - accessed via SSH connection\n",
    109     "        \n",
    110     "   - **board** - the currently supported boards are:\n",
    111     "        - gem5 - target is a gem5 simulator\n",
    112     "        \n",
    113     "   - **host** - target IP or MAC address of the platform hosting the simulator\n",
    114     "   \n",
    115     "   - **gem5** - the settings for the simulation are:\n",
    116     "       - **system**\n",
    117     "           - **platform**\n",
    118     "               - description - python description of the platform to simulate\n",
    119     "               - args - arguments to be given to the python script (./gem5.fast model.py --help)\n",
    120     "               \n",
    121     "           - kernel - kernel image to run on the simulated platform\n",
    122     "           - dtb - dtb of the platform to simulate\n",
    123     "           - disk - disk image to run on the platform\n",
    124     "       - **simulator**\n",
    125     "            - bin - path to the gem5 simulator binary\n",
    126     "            - args - arguments to be given to the gem5 binary (./gem5.fast --help)\n",
    127     "\n",
    128     "   - **modules** - devlib modules to be enabled\n",
    129     "    \n",
    130     "   - **exclude_modules** - devlib modules to be disabled\n",
    131     "    \n",
    132     "   - **tools** - binary tools (available under ./tools/$ARCH/) to install by default\n",
    133     "    \n",
    134     "   - **ping_time** - wait time before trying to access the target after reboot\n",
    135     "    \n",
    136     "   - **reboot_time** - maximum time to wait after rebooting the target\n",
    137     "    \n",
    138     "   - **__features__** - list of test environment features to enable\n",
    139     "        - no-kernel - do not deploy kernel/dtb images\n",
    140     "        - no-reboot - do not force reboot the target at each configuration change\n",
    141     "        - debug - enable debugging messages\n",
    142     "     \n",
    143     "   - **ftrace** - ftrace configuration\n",
    144     "       - events\n",
    145     "       - functions\n",
    146     "       - buffsize\n",
    147     "    \n",
    148     "   - **results_dir** - location of results of the experiments\n"
    149    ]
    150   },
    151   {
    152    "cell_type": "code",
    153    "execution_count": 3,
    154    "metadata": {
    155     "collapsed": false,
    156     "deletable": true,
    157     "editable": true
    158    },
    159    "outputs": [],
    160    "source": [
    161     "# Root path of the gem5 workspace\n",
    162     "base = \"/home/vagrant/gem5/\"\n",
    163     "\n",
    164     "conf = {\n",
    165     "    # Only 'linux' is supported by gem5 for now\n",
    166     "    # 'android' is a WIP\n",
    167     "    \"platform\"    : 'linux',\n",
    168     "    \n",
    169     "    # Preload settings for a specific target\n",
    170     "    \"board\"       : 'gem5',\n",
    171     "\n",
    172     "    # Host that will run the gem5 instance\n",
    173     "    \"host\"        : \"workstation-lin\",\n",
    174     "    \n",
    175     "    \"gem5\" : {\n",
    176     "        # System to simulate\n",
    177     "        \"system\" : {\n",
    178     "            # Platform description\n",
    179     "            \"platform\" : {\n",
    180     "                # Gem5 platform description\n",
    181     "                # LISA will also look for an optional gem5<platform> board file\n",
    182     "                # located in the same directory as the description file.\n",
    183     "                \"description\" : os.path.join(base, \"juno.py\"),\n",
    184     "                \"args\" : [\n",
    185     "                    \"--atomic\",\n",
    186     "                    # Resume simulation from a previous checkpoint\n",
    187     "                    # Checkpoint must be taken before Virtio folders are mounted\n",
    188     "                    # \"--checkpoint-indir \" + os.path.join(base, \"Juno/atomic/\",\n",
    189     "                    #                                      \"checkpoints\"),\n",
    190     "                    # \"--checkpoint-resume 1\",\n",
    191     "                ]\n",
    192     "            },\n",
    193     "            # Kernel compiled for gem5 with Virtio flags\n",
    194     "            \"kernel\"   : os.path.join(base, \"platform_juno/\", \"vmlinux\"),\n",
    195     "            # DTB of the system to simulate\n",
    196     "            \"dtb\"      : os.path.join(base, \"platform_juno/\", \"armv8_juno_r2.dtb\"),\n",
    197     "            # Disk of the distrib to run\n",
    198     "            \"disk\"     : os.path.join(base, \"binaries/\", \"aarch64-ubuntu-trusty-headless.img\")\n",
    199     "        },\n",
    200     "        # gem5 settings\n",
    201     "        \"simulator\" : {\n",
    202     "            # Path to gem5 binary\n",
    203     "            \"bin\"     : os.path.join(base, \"gem5/build/ARM/gem5.fast\"),\n",
    204     "            # Args to be given to the binary\n",
    205     "            \"args\" : [\n",
    206     "                # Zilch\n",
    207     "            ],\n",
    208     "        }\n",
    209     "    },\n",
    210     "\n",
    211     "    # FTrace events to collect for all the tests configuration which have\n",
    212     "    # the \"ftrace\" flag enabled\n",
    213     "    \"ftrace\"  : {\n",
    214     "         \"events\" : [\n",
    215     "            \"sched_switch\",\n",
    216     "            \"sched_wakeup\",\n",
    217     "            \"sched_overutilized\",\n",
    218     "            \"sched_load_avg_cpu\",\n",
    219     "            \"sched_load_avg_task\",\n",
    220     "            \"sched_load_waking_task\",\n",
    221     "            \"cpu_capacity\",\n",
    222     "            \"cpu_frequency\",\n",
    223     "            \"cpu_idle\",\n",
    224     "            \"sched_energy_diff\"\n",
    225     "        ],\n",
    226     "        \"buffsize\" : 100 * 1024,\n",
    227     "    },\n",
    228     "    \n",
    229     "    \"modules\" : [\"cpufreq\", \"bl\", \"gem5stats\"],\n",
    230     "\n",
    231     "    # Tools required by the experiments\n",
    232     "    \"tools\"   : ['trace-cmd', 'sysbench'],\n",
    233     "    \n",
    234     "    # Output directory on host\n",
    235     "    \"results_dir\" : \"gem5_res\"\n",
    236     "}"
    237    ]
    238   },
    239   {
    240    "cell_type": "code",
    241    "execution_count": 4,
    242    "metadata": {
    243     "collapsed": false,
    244     "deletable": true,
    245     "editable": true,
    246     "scrolled": false
    247    },
    248    "outputs": [
    249     {
    250      "name": "stderr",
    251      "output_type": "stream",
    252      "text": [
    253       "2017-07-19 09:55:44,645 INFO    : TestEnv      : Using base path: /home/vagrant/lisa\n",
    254       "2017-07-19 09:55:44,646 INFO    : TestEnv      : Loading custom (inline) target configuration\n",
    255       "2017-07-19 09:55:44,647 WARNING : TestEnv      : Wipe previous contents of the results folder:\n",
    256       "2017-07-19 09:55:44,648 WARNING : TestEnv      :    /home/vagrant/lisa/results/gem5_res\n",
    257       "2017-07-19 09:55:44,653 INFO    : TestEnv      : Loading board:\n",
    258       "2017-07-19 09:55:44,654 INFO    : TestEnv      :    /home/vagrant/lisa/libs/utils/platforms/gem5juno.json\n",
    259       "2017-07-19 09:55:44,655 INFO    : gem5         : Creating temporary directory for interaction  with gem5 via virtIO: /tmp/wa_0\n",
    260       "2017-07-19 09:55:44,655 INFO    : gem5         : Starting the gem5 simulator\n",
    261       "2017-07-19 09:55:45,662 INFO    : TestEnv      : Devlib modules to load: ['bl', 'cpufreq', 'gem5stats']\n",
    262       "2017-07-19 09:55:45,663 INFO    : TestEnv      : Connecting linux target:\n",
    263       "2017-07-19 09:55:45,663 INFO    : TestEnv      :   username : root\n",
    264       "2017-07-19 09:55:45,664 INFO    : TestEnv      :       host : workstation-lin\n",
    265       "2017-07-19 09:55:45,664 INFO    : TestEnv      :   password : \n",
    266       "2017-07-19 09:55:45,665 INFO    : TestEnv      : Connection settings:\n",
    267       "2017-07-19 09:55:45,665 INFO    : TestEnv      :    {'username': 'root', 'host': 'workstation-lin', 'password': ''}\n",
    268       "2017-07-19 09:55:45,669 INFO    : gem5-connection : Connecting to the gem5 simulation on port 3456\n",
    269       "2017-07-19 09:55:56,388 INFO    : gem5-connection : Connected! Waiting for prompt...\n",
    270       "2017-07-19 09:55:56,389 INFO    : gem5-connection : Created lock file /tmp/workstation-lin_3456.LOCK to prevent reconnecting to same simulation\n",
    271       "2017-07-19 09:55:56,390 INFO    : gem5-connection : Trying to log in to gem5 device\n",
    272       "2017-07-19 09:57:06,511 INFO    : gem5-connection : Trying to log in to gem5 device\n",
    273       "2017-07-19 09:58:16,632 INFO    : gem5-connection : Trying to log in to gem5 device\n",
    274       "2017-07-19 09:59:26,725 INFO    : gem5-connection : Trying to log in to gem5 device\n",
    275       "2017-07-19 10:00:36,846 INFO    : gem5-connection : Trying to log in to gem5 device\n",
    276       "2017-07-19 10:01:46,957 INFO    : gem5-connection : Trying to log in to gem5 device\n",
    277       "2017-07-19 10:02:57,054 INFO    : gem5-connection : Trying to log in to gem5 device\n",
    278       "2017-07-19 10:04:07,150 INFO    : gem5-connection : Trying to log in to gem5 device\n",
    279       "2017-07-19 10:05:17,253 INFO    : gem5-connection : Trying to log in to gem5 device\n",
    280       "2017-07-19 10:06:27,361 INFO    : gem5-connection : Trying to log in to gem5 device\n",
    281       "2017-07-19 10:07:37,435 INFO    : gem5-connection : Trying to log in to gem5 device\n",
    282       "2017-07-19 10:08:06,874 INFO    : gem5-connection : Successfully logged in\n",
    283       "2017-07-19 10:08:06,875 INFO    : gem5-connection : Setting unique prompt...\n",
    284       "2017-07-19 10:08:07,387 INFO    : gem5-connection : Prompt found and replaced with a unique string\n",
    285       "2017-07-19 10:08:07,772 INFO    : gem5-connection : Mounting VirtIO device in simulated system\n",
    286       "2017-07-19 10:09:39,550 INFO    : TestEnv      : Initializing target workdir:\n",
    287       "2017-07-19 10:09:39,550 INFO    : TestEnv      :    /home/root/devlib-target\n",
    288       "2017-07-19 10:11:29,983 INFO    : TestEnv      : Attempting to read energy model from target\n",
    289       "2017-07-19 10:11:29,984 ERROR   : TestEnv      : Couldn't read target energy model: Requires cpuidle devlib module. Please ensure \"cpuidle\" is listed in your target/test modules\n",
    290       "2017-07-19 10:11:29,984 INFO    : TestEnv      : Topology:\n",
    291       "2017-07-19 10:11:29,985 INFO    : TestEnv      :    [[0, 1, 2, 3], [4, 5]]\n",
    292       "2017-07-19 10:11:36,961 INFO    : TestEnv      : Loading default EM:\n",
    293       "2017-07-19 10:11:36,961 INFO    : TestEnv      :    /home/vagrant/lisa/libs/utils/platforms/gem5juno.json\n",
    294       "2017-07-19 10:12:01,903 WARNING : LinuxTarget  : Event [sched_load_waking_task] not available for tracing\n",
    295       "2017-07-19 10:12:01,905 INFO    : TestEnv      : Enabled tracepoints:\n",
    296       "2017-07-19 10:12:01,905 INFO    : TestEnv      :    sched_switch\n",
    297       "2017-07-19 10:12:01,906 INFO    : TestEnv      :    sched_wakeup\n",
    298       "2017-07-19 10:12:01,906 INFO    : TestEnv      :    sched_overutilized\n",
    299       "2017-07-19 10:12:01,906 INFO    : TestEnv      :    sched_load_avg_cpu\n",
    300       "2017-07-19 10:12:01,907 INFO    : TestEnv      :    sched_load_avg_task\n",
    301       "2017-07-19 10:12:01,907 INFO    : TestEnv      :    sched_load_waking_task\n",
    302       "2017-07-19 10:12:01,907 INFO    : TestEnv      :    cpu_capacity\n",
    303       "2017-07-19 10:12:01,908 INFO    : TestEnv      :    cpu_frequency\n",
    304       "2017-07-19 10:12:01,908 INFO    : TestEnv      :    cpu_idle\n",
    305       "2017-07-19 10:12:01,909 INFO    : TestEnv      :    sched_energy_diff\n",
    306       "2017-07-19 10:12:01,909 INFO    : TestEnv      : Set results folder to:\n",
    307       "2017-07-19 10:12:01,910 INFO    : TestEnv      :    /home/vagrant/lisa/results/gem5_res\n",
    308       "2017-07-19 10:12:01,911 INFO    : TestEnv      : Experiment results available also in:\n",
    309       "2017-07-19 10:12:01,912 INFO    : TestEnv      :    /home/vagrant/lisa/results_latest\n"
    310      ]
    311     }
    312    ],
    313    "source": [
    314     "# Create the hardware target. Patience is required :\n",
    315     "# ~40 minutes to resume from a checkpoint (detailed)\n",
    316     "# ~5 minutes to resume from a checkpoint (atomic)\n",
    317     "# ~3 hours to start from scratch (detailed)\n",
    318     "# ~15 minutes to start from scratch (atomic)\n",
    319     "te = TestEnv(conf)\n",
    320     "target = te.target"
    321    ]
    322   },
    323   {
    324    "cell_type": "markdown",
    325    "metadata": {
    326     "deletable": true,
    327     "editable": true
    328    },
    329    "source": [
    330     "# Run workloads on gem5"
    331    ]
    332   },
    333   {
    334    "cell_type": "markdown",
    335    "metadata": {
    336     "deletable": true,
    337     "editable": true
    338    },
    339    "source": [
    340     "This is an example of running a workload and extracting stats from the simulation using m5 commands. For more information about m5 commands, see http://gem5.org/M5ops"
    341    ]
    342   },
    343   {
    344    "cell_type": "code",
    345    "execution_count": 5,
    346    "metadata": {
    347     "collapsed": true,
    348     "deletable": true,
    349     "editable": true
    350    },
    351    "outputs": [],
    352    "source": [
    353     "# This function is an example use of gem5's ROI functionality\n",
    354     "def record_time(command):\n",
    355     "    roi = 'time'\n",
    356     "    target.gem5stats.book_roi(roi)\n",
    357     "    \n",
    358     "    target.gem5stats.roi_start(roi)\n",
    359     "    target.execute(command)\n",
    360     "    target.gem5stats.roi_end(roi)\n",
    361     "    \n",
    362     "    res = target.gem5stats.match(['host_seconds', 'sim_seconds'], [roi])\n",
    363     "    \n",
    364     "    target.gem5stats.free_roi(roi)\n",
    365     "    \n",
    366     "    return res"
    367    ]
    368   },
    369   {
    370    "cell_type": "code",
    371    "execution_count": 6,
    372    "metadata": {
    373     "collapsed": false,
    374     "deletable": true,
    375     "editable": true,
    376     "scrolled": true
    377    },
    378    "outputs": [
    379     {
    380      "name": "stdout",
    381      "output_type": "stream",
    382      "text": [
    383       "/home/root/devlib-target/bin/sysbench --test=cpu --max-time=1 run -> 349.49s wall-clock execution time, 1.052278s simulation-clock execution time\n"
    384      ]
    385     }
    386    ],
    387    "source": [
    388     "# Initialise command: [binary/script, arguments]\n",
    389     "workload = 'sysbench'\n",
    390     "args = '--test=cpu --max-time=1 run'\n",
    391     "\n",
    392     "# Install binary if needed\n",
    393     "path = target.install_if_needed(\"/home/vagrant/lisa/tools/arm64/\" + workload)\n",
    394     "command = path + \" \" + args\n",
    395     "\n",
    396     "# FTrace the execution of this workload\n",
    397     "te.ftrace.start()\n",
    398     "res = record_time(command)\n",
    399     "te.ftrace.stop()\n",
    400     "\n",
    401     "print \"{} -> {}s wall-clock execution time, {}s simulation-clock execution time\".format(command,\n",
    402     "        sum(map(float, res['host_seconds']['time'])),\n",
    403     "        sum(map(float, res['sim_seconds']['time'])))"
    404    ]
    405   },
    406   {
    407    "cell_type": "markdown",
    408    "metadata": {
    409     "deletable": true,
    410     "editable": true
    411    },
    412    "source": [
    413     "# Trace analysis\n",
    414     "For more information on this please check **examples/trace_analysis/TraceAnalysis_TasksLatencies.ipynb.**"
    415    ]
    416   },
    417   {
    418    "cell_type": "code",
    419    "execution_count": 7,
    420    "metadata": {
    421     "collapsed": false,
    422     "deletable": true,
    423     "editable": true
    424    },
    425    "outputs": [
    426     {
    427      "name": "stderr",
    428      "output_type": "stream",
    429      "text": [
    430       "2017-07-19 10:27:58,358 INFO    : Trace        : Platform clusters verified to be Frequency coherent\n"
    431      ]
    432     }
    433    ],
    434    "source": [
    435     "# Load traces in memory (can take several minutes)\n",
    436     "platform_file = os.path.join(te.res_dir, 'platform.json')\n",
    437     "te.platform_dump(te.res_dir, platform_file)\n",
    438     "\n",
    439     "with open(platform_file, 'r') as fh:\n",
    440     "    platform = json.load(fh)\n",
    441     "\n",
    442     "trace_file = os.path.join(te.res_dir, 'trace.dat')\n",
    443     "te.ftrace.get_trace(trace_file)\n",
    444     "trace = Trace(platform, trace_file, events=conf['ftrace']['events'], normalize_time=False)"
    445    ]
    446   },
    447   {
    448    "cell_type": "code",
    449    "execution_count": 8,
    450    "metadata": {
    451     "collapsed": false,
    452     "deletable": true,
    453     "editable": true
    454    },
    455    "outputs": [
    456     {
    457      "data": {
    458       "image/png": 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CpOnTo8dRVkYoO5t169dHj6OwkJwJE2qOY+zYGvvwrl67llB2tuNwHI7DcTgO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\n+24uu+wyGjVqxCmnnAJE39j0gAYNGnDeeecxduxY9u3bx8yZM/niiy+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    459       "text/plain": [
    460        "<matplotlib.figure.Figure at 0x7fb261c19c10>"
    461       ]
    462      },
    463      "metadata": {},
    464      "output_type": "display_data"
    465     },
    466     {
    467      "data": {
    468       "image/png": 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3SpKkfeb4KknJU3nDS0lqzFxjXkpNBcB/A58AK4jMjL8SKP/s1h7gLiLrzn9A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PgZMWJE0BEkKWYszEuSlIRatWgRdARJSkjOr5IUP61atQo6giTFjIV5KRhdgReA9UAx8MMK+oyJ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\nhHfPjwV2AE9EYj4HZgN3A1uAbcBdwDuEd9JLSmL5Cxcy8IILgk5DkhKO6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    469       "text/plain": [
    470        "<matplotlib.figure.Figure at 0x7fb260715b10>"
    471       ]
    472      },
    473      "metadata": {},
    474      "output_type": "display_data"
    475     }
    476    ],
    477    "source": [
    478     "# Plot some stuff\n",
    479     "trace.analysis.cpus.plotCPU()"
    480    ]
    481   },
    482   {
    483    "cell_type": "code",
    484    "execution_count": 9,
    485    "metadata": {
    486     "collapsed": false,
    487     "deletable": true,
    488     "editable": true
    489    },
    490    "outputs": [
    491     {
    492      "name": "stderr",
    493      "output_type": "stream",
    494      "text": [
    495       "2017-07-19 10:28:54,619 INFO    : gem5-connection : Gracefully terminating the gem5 simulation.\n",
    496       "2017-07-19 10:28:56,068 INFO    : gem5-connection : Removing the temporary directory\n"
    497      ]
    498     }
    499    ],
    500    "source": [
    501     "# Simulations done\n",
    502     "target.disconnect()"
    503    ]
    504   }
    505  ],
    506  "metadata": {
    507   "kernelspec": {
    508    "display_name": "Python 2",
    509    "language": "python",
    510    "name": "python2"
    511   },
    512   "language_info": {
    513    "codemirror_mode": {
    514     "name": "ipython",
    515     "version": 2
    516    },
    517    "file_extension": ".py",
    518    "mimetype": "text/x-python",
    519    "name": "python",
    520    "nbconvert_exporter": "python",
    521    "pygments_lexer": "ipython2",
    522    "version": "2.7.6"
    523   }
    524  },
    525  "nbformat": 4,
    526  "nbformat_minor": 2
    527 }
    528