201908_uclamp_v13_ack19_junor2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font size=\"9\">UtilClamp v13 - JunoR2 - ACK v4.19 Backport</font><br>\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Table of Contents\n",
    "* [CFS Tasks Clamping](#CFS-Tasks-Clamping)\n",
    "* [RT Tasks Clamping](#RT-Tasks-Clamping)\n",
    "* [Per-Task API](#Per-Task-API)\n",
    "* [CGroups v1 - Delegation Model](#CGroups-v1---Delegation-Model)\n",
    "* [CGroups v2 - Delegation Model](#CGroups-v2---Delegation-Model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:17:02,490 INFO    : root         : Using LISA logging configuration:\n",
      "2019-08-08 11:17:02,492 INFO    : root         :   /data/Code/lisa/logging.conf\n"
     ]
    }
   ],
   "source": [
    "import logging\n",
    "from lisa.utils import setup_logging\n",
    "setup_logging()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "# Generate plots inline\n",
    "%pylab inline\n",
    "%config IPCompleter.use_jedi = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "# Utility Functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test environment setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:17:02,783 INFO    : root         : Generating grammar tables from /usr/lib/python3.5/lib2to3/Grammar.txt\n",
      "2019-08-08 11:17:02,806 INFO    : root         : Generating grammar tables from /usr/lib/python3.5/lib2to3/PatternGrammar.txt\n",
      "2019-08-08 11:17:03,239 INFO    : lisa.target.Target : Creating result directory: /data/Code/lisa/results/Target-juno-20190808_111703.239066\n",
      "2019-08-08 11:17:03,271 INFO    : lisa.target.Target : linux juno target connection settings:\n",
      "2019-08-08 11:17:03,272 INFO    : lisa.target.Target :       port : 22\n",
      "2019-08-08 11:17:03,274 INFO    : lisa.target.Target :   username : root\n",
      "2019-08-08 11:17:03,275 INFO    : lisa.target.Target :       host : 192.168.90.1\n",
      "2019-08-08 11:17:03,276 INFO    : lisa.target.Target :   password : None\n",
      "2019-08-08 11:17:03,293 INFO    : lisa.target.Target : Devlib modules to load: bl, cgroups, cpufreq, cpuidle, devfreq, fastboot, gem5stats, gpufreq, hotplug, hwmon, mbed-fan, odroidxu3-fan, sched, thermal\n",
      "2019-08-08 11:17:07,777 WARNING : LinuxTarget  : Module devfreq is not supported by the target\n",
      "2019-08-08 11:17:07,780 WARNING : LinuxTarget  : Module fastboot is not supported by the target\n",
      "2019-08-08 11:17:07,782 WARNING : LinuxTarget  : Module gem5stats is not supported by the target\n",
      "2019-08-08 11:17:07,949 WARNING : LinuxTarget  : Module gpufreq is not supported by the target\n",
      "2019-08-08 11:17:13,348 WARNING : LinuxTarget  : Module odroidxu3-fan is not supported by the target\n",
      "2019-08-08 11:17:16,083 INFO    : CGroups      : Available controllers:\n",
      "2019-08-08 11:17:20,412 INFO    : CGroups      :   cpuset       : /home/root/devlib-target/cgroups/devlib_cgh0\n",
      "2019-08-08 11:17:20,922 INFO    : CGroups      :   cpu          : /home/root/devlib-target/cgroups/devlib_cgh0\n",
      "2019-08-08 11:17:21,431 INFO    : CGroups      :   cpuacct      : /home/root/devlib-target/cgroups/devlib_cgh0\n",
      "2019-08-08 11:17:21,942 INFO    : CGroups      :   blkio        : /home/root/devlib-target/cgroups/devlib_cgh0\n",
      "2019-08-08 11:17:22,449 INFO    : CGroups      :   memory       : /home/root/devlib-target/cgroups/devlib_cgh0\n",
      "2019-08-08 11:17:22,961 INFO    : CGroups      :   devices      : /home/root/devlib-target/cgroups/devlib_cgh0\n",
      "2019-08-08 11:17:23,473 INFO    : CGroups      :   freezer      : /home/root/devlib-target/cgroups/devlib_cgh0\n",
      "2019-08-08 11:17:23,983 INFO    : CGroups      :   perf_event   : /home/root/devlib-target/cgroups/devlib_cgh0\n",
      "2019-08-08 11:17:24,493 INFO    : CGroups      :   hugetlb      : /home/root/devlib-target/cgroups/devlib_cgh0\n",
      "2019-08-08 11:17:25,002 INFO    : CGroups      :   pids         : /home/root/devlib-target/cgroups/devlib_cgh0\n",
      "2019-08-08 11:17:25,174 WARNING : lisa.target.Target : Failed to initialized \"devfreq\" devlib Module\n",
      "2019-08-08 11:17:25,176 WARNING : lisa.target.Target : Failed to initialized \"fastboot\" devlib Module\n",
      "2019-08-08 11:17:25,177 WARNING : lisa.target.Target : Failed to initialized \"gem5stats\" devlib Module\n",
      "2019-08-08 11:17:25,179 WARNING : lisa.target.Target : Failed to initialized \"gpufreq\" devlib Module\n",
      "2019-08-08 11:17:25,180 WARNING : lisa.target.Target : Failed to initialized \"mbed-fan\" devlib Module\n",
      "2019-08-08 11:17:25,183 WARNING : lisa.target.Target : Failed to initialized \"odroidxu3-fan\" devlib Module\n",
      "2019-08-08 11:17:25,185 INFO    : lisa.target.Target : Tools to install: ['rt-app', 'rt-app_uclamp']\n",
      "2019-08-08 11:17:26,035 INFO    : lisa.platforms.platinfo.PlatformInfo : Attempting to read energy model from target\n",
      "2019-08-08 11:17:26,705 INFO    : lisa.energy_model.EnergyModel.EMReader : Attempting to load EM using from_debugfsEM_target\n",
      "2019-08-08 11:17:31,716 INFO    : lisa.target.Target : Effective platform information:\n",
      "|- abi from target (str): arm64\n",
      "|- cpu-capacities from target (dict): {0: 383, 1: 1024, 2: 1024, 3: 383, 4: 383, 5: 383}\n",
      "|- cpus-count from target (int): 6\n",
      "|- freq-domains from target (list): [[0, 3, 4, 5], [1, 2]]\n",
      "|- freqs from target (dict): {0: [450000, 800000, 950000], 1: [600000, 1000000, 1200000], 2: [600000, 1000000, 1200000], 3: [450000, 800000, 950000], 4: [450000, 800000, 950000], 5: [450000, 800000, 950000]}\n",
      "+- kernel:\n",
      "    |- config from target (TypedKernelConfig): <kernel config>\n",
      "    |- version from target (KernelVersion): 4.19.65-00122-g657b192c9942 5 SMP PREEMPT Thu Aug 8 10:55:36 BST 2019\n",
      "|- name from target-conf (str): juno\n",
      "|- nrg-model from target (EnergyModel): <lisa.energy_model.EnergyModel object at 0x7f5368b29d68>\n",
      "|- os from target (str): linux\n",
      "+- rtapp:\n",
      "    |- calib from target (DeferredValue): <lazy value of RTA.get_cpu_calibrations>\n",
      "|- capacity-classes from target(platform-info/cpu-capacities) (list): [[0, 3, 4, 5], [1, 2]]\n"
     ]
    }
   ],
   "source": [
    "from lisa.target import Target, TargetConf\n",
    "\n",
    "target = Target(\n",
    "    name='juno',\n",
    "    kind='linux',\n",
    "    host='192.168.90.1',\n",
    "    username='root',\n",
    "    tools = ['rt-app', 'rt-app_uclamp'],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:17:32,084 INFO    : root         : CPUFreq governors:\n",
      "{'5': 'schedutil', '4': 'schedutil', '3': 'schedutil', '2': 'schedutil', '1': 'schedutil', '0': 'schedutil'}\n"
     ]
    }
   ],
   "source": [
    "target.cpufreq.set_all_governors('schedutil');\n",
    "logging.info(\"CPUFreq governors:\\n%s\", target.cpufreq.get_all_governors())\n",
    "# target.write_value('/sys/devices/system/cpu/cpufreq/policy0/schedutil/rate_limit_us', 5000)\n",
    "# target.write_value('/sys/devices/system/cpu/cpufreq/policy1/schedutil/rate_limit_us', 5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|- abi from target (str): arm64\n",
      "|- cpu-capacities from target (dict): {0: 383, 1: 1024, 2: 1024, 3: 383, 4: 383, 5: 383}\n",
      "|- cpus-count from target (int): 6\n",
      "|- freq-domains from target (list): [[0, 3, 4, 5], [1, 2]]\n",
      "|- freqs from target (dict): {0: [450000, 800000, 950000], 1: [600000, 1000000, 1200000], 2: [600000, 1000000, 1200000], 3: [450000, 800000, 950000], 4: [450000, 800000, 950000], 5: [450000, 800000, 950000]}\n",
      "+- kernel:\n",
      "    |- config from target (TypedKernelConfig): <kernel config>\n",
      "    |- version from target (KernelVersion): 4.19.65-00122-g657b192c9942 5 SMP PREEMPT Thu Aug 8 10:55:36 BST 2019\n",
      "|- name from target-conf (str): juno\n",
      "|- nrg-model from target (EnergyModel): <lisa.energy_model.EnergyModel object at 0x7f537de678d0>\n",
      "|- os from target (str): linux\n",
      "+- rtapp:\n",
      "    |- calib from target (DeferredValue): <lazy value of RTA.get_cpu_calibrations>\n",
      "|- capacity-classes from target(platform-info/cpu-capacities) (list): [[0, 3, 4, 5], [1, 2]]\n"
     ]
    }
   ],
   "source": [
    "print(target.plat_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:17:32,297 INFO    : root         : Avaialble capacities at each frequency:\n",
      "2019-08-08 11:17:32,299 INFO    : root         : LITTLEs: {450000: 384, 800000: 682, 950000: 810}\n",
      "2019-08-08 11:17:32,300 INFO    : root         :    bigs: {600000: 512, 1000000: 853, 1200000: 1024}\n"
     ]
    }
   ],
   "source": [
    "# Maximum available frequency\n",
    "big_cpus = [cpu for cpu,cap\n",
    "            in target.plat_info['cpu-capacities'].items()\n",
    "            if cap==1024]\n",
    "big_cpu = big_cpus[-1]\n",
    "big_max_freq = target.cpufreq.list_frequencies(big_cpu)[-1]\n",
    "\n",
    "# Compute capacity levels for each CPU and frequency\n",
    "caps = {}\n",
    "for cpu in target.list_online_cpus():\n",
    "    caps[cpu] = {f: int(1024. * f/big_max_freq) for f in target.cpufreq.list_frequencies(cpu)}\n",
    "logging.info(\"Avaialble capacities at each frequency:\")\n",
    "logging.info(\"LITTLEs: %s\", caps[target.core_cpus(target.little_core)[0]])\n",
    "logging.info(\"   bigs: %s\", caps[target.core_cpus(target.big_core)[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:17:32,661 INFO    : lisa.wlgen.rta.RTA : Creating target's run_dir: /home/root/devlib-target/lisa/wlgen/test_ramp_20190808_111732_eor1oH\n",
      "2019-08-08 11:17:32,663 INFO    : lisa.target.Target : Creating result directory: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174\n",
      "2019-08-08 11:17:33,550 INFO    : lisa.wlgen.rta.RTA : Calibration value: 218\n",
      "2019-08-08 11:17:33,553 INFO    : lisa.wlgen.rta.RTA : Default policy: SCHED_OTHER\n",
      "2019-08-08 11:17:33,555 INFO    : lisa.wlgen.rta.RTA : ------------------------\n",
      "2019-08-08 11:17:33,556 INFO    : lisa.wlgen.rta.RTA : task [test_task], sched: OTHER\n",
      "2019-08-08 11:17:33,557 INFO    : lisa.wlgen.rta.RTA :  | start delay: 0.000000 [s]\n",
      "2019-08-08 11:17:33,558 INFO    : lisa.wlgen.rta.RTA :  | loops count: 1\n",
      "2019-08-08 11:17:33,559 INFO    : lisa.wlgen.rta.RTA :  + phase_000001\n",
      "2019-08-08 11:17:33,561 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:17:33,562 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  10 %\n",
      "2019-08-08 11:17:33,564 INFO    : lisa.wlgen.rta.Phase :  |  run_time   1600 [us], sleep_time  14400 [us]\n",
      "2019-08-08 11:17:33,565 INFO    : lisa.wlgen.rta.RTA :  + phase_000002\n",
      "2019-08-08 11:17:33,567 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:17:33,568 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  20 %\n",
      "2019-08-08 11:17:33,569 INFO    : lisa.wlgen.rta.Phase :  |  run_time   3200 [us], sleep_time  12800 [us]\n",
      "2019-08-08 11:17:33,570 INFO    : lisa.wlgen.rta.RTA :  + phase_000003\n",
      "2019-08-08 11:17:33,572 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:17:33,573 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  30 %\n",
      "2019-08-08 11:17:33,574 INFO    : lisa.wlgen.rta.Phase :  |  run_time   4800 [us], sleep_time  11200 [us]\n",
      "2019-08-08 11:17:33,575 INFO    : lisa.wlgen.rta.RTA :  + phase_000004\n",
      "2019-08-08 11:17:33,576 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:17:33,577 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  40 %\n",
      "2019-08-08 11:17:33,579 INFO    : lisa.wlgen.rta.Phase :  |  run_time   6400 [us], sleep_time   9600 [us]\n",
      "2019-08-08 11:17:33,580 INFO    : lisa.wlgen.rta.RTA :  + phase_000005\n",
      "2019-08-08 11:17:33,582 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:17:33,583 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  50 %\n",
      "2019-08-08 11:17:33,584 INFO    : lisa.wlgen.rta.Phase :  |  run_time   8000 [us], sleep_time   8000 [us]\n",
      "2019-08-08 11:17:33,585 INFO    : lisa.wlgen.rta.RTA :  + phase_000006\n",
      "2019-08-08 11:17:33,587 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:17:33,588 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  60 %\n",
      "2019-08-08 11:17:33,589 INFO    : lisa.wlgen.rta.Phase :  |  run_time   9600 [us], sleep_time   6400 [us]\n",
      "2019-08-08 11:17:33,590 INFO    : lisa.wlgen.rta.RTA :  + phase_000007\n",
      "2019-08-08 11:17:33,591 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:17:33,592 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  70 %\n",
      "2019-08-08 11:17:33,594 INFO    : lisa.wlgen.rta.Phase :  |  run_time  11200 [us], sleep_time   4800 [us]\n"
     ]
    }
   ],
   "source": [
    "from lisa.wlgen.rta import RTA, Ramp\n",
    "\n",
    "cpu = [cpu for cpu,cap\n",
    "       in target.plat_info['cpu-capacities'].items()\n",
    "       if cap==1024][-1]\n",
    "\n",
    "rtapp_profile = {\n",
    "  'test_task': Ramp(period_ms=16, start_pct=10, end_pct=70,\n",
    "                    delta_pct=10, cpus=[big_cpu], sched_policy='OTHER')\n",
    "}\n",
    "\n",
    "def provide_calibration(calibration):\n",
    "    target.plat_info[\"rtapp\"].add_src(\"user\", {\"calib\" : calibration})\n",
    "# Uncomment if you want to use this\n",
    "provide_calibration({0: 580, 1: 218, 2: 218, 3: 579, 4: 579, 5: 579})    \n",
    "\n",
    "rta = RTA.by_profile(target, \"test_ramp\", rtapp_profile, logstats=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:17:34,495 WARNING : LinuxTarget  : Event [cpu_util] not available for tracing\n",
      "2019-08-08 11:17:34,498 WARNING : LinuxTarget  : Event [uclamp_task_update] not available for tracing\n",
      "2019-08-08 11:17:34,501 WARNING : LinuxTarget  : Event [update_util_se] not available for tracing\n",
      "2019-08-08 11:17:34,503 WARNING : LinuxTarget  : Event [update_util_rq] not available for tracing\n",
      "2019-08-08 11:17:34,506 WARNING : LinuxTarget  : Event [sugov_next_freq_shared] not available for tracing\n"
     ]
    }
   ],
   "source": [
    "from lisa.trace import Trace, FtraceCollector\n",
    "import os\n",
    "\n",
    "events = [\n",
    "    \"sched_switch\",\n",
    "    \"sched_wakeup\",\n",
    "    \"cpu_frequency\",\n",
    "    \"cpu_idle\",\n",
    "    \"cpu_util\",\n",
    "    \"uclamp_task_update\",\n",
    "    \"update_util_se\",\n",
    "    \"update_util_rq\",\n",
    "    \"sugov_next_freq_shared\",\n",
    "    \"uclamp_se\",\n",
    "    \"uclamp_cfs\",\n",
    "]\n",
    "ftrace_coll = FtraceCollector(target, events=events, buffer_size=10240)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CGroups setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "cpu_ctr = target.cgroups.controller('cpu')\n",
    "cpuset_ctr = target.cgroups.controller('cpuset')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "def checkGroups(cgroups):\n",
    "    data = []\n",
    "    for cg_name in cgroups:\n",
    "        cg = cpu_ctr.cgroup(cg_name)\n",
    "        cg = cg.get()\n",
    "        rmin = cg.get('uclamp.min', None)\n",
    "        if rmin is None:\n",
    "            rmin = float(target.execute('cat /proc/sys/kernel/sched_util_clamp_min').strip()) / 10.\n",
    "        if rmin == 1024:\n",
    "            rmin = 'max'\n",
    "        emin = cg['uclamp.min.effective']\n",
    "        rmax = cg.get('uclamp.max', None)\n",
    "        if rmax is None:\n",
    "            rmax = float(target.execute('cat /proc/sys/kernel/sched_util_clamp_max').strip()) / 10.\n",
    "        if rmax == 1024:\n",
    "            rmax = 'max'\n",
    "        emax = cg['uclamp.max.effective']        \n",
    "        data.append((cg_name, rmin, emin, rmax, emax))\n",
    "    df = pd.DataFrame(data, columns=['cg_name', 'uclamp.min', 'uclamp.min.effective', 'uclamp.max', 'uclamp.max.effective'])\n",
    "    df.set_index('cg_name', inplace=True)\n",
    "    return df\n",
    "\n",
    "def assertValue(attrib, value):\n",
    "    attrib = attrib.split('/')\n",
    "    task_group = '/'.join(attrib[:-1])\n",
    "    attrib = attrib[-1]\n",
    "    \n",
    "    uclamp = df[task_group:][attrib].values[0]\n",
    "    if uclamp == 'max':\n",
    "        uclamp = 100\n",
    "    uclamp = float(uclamp)\n",
    "    \n",
    "    if value == 'max':\n",
    "        value = 100.0\n",
    "\n",
    "    logging.info(\"Assert %s/%-24s == %6.2f: %8s (measured: %6.2f%%)\",\n",
    "            task_group, attrib, value,\n",
    "            \"PASS\" if value == uclamp else \"FAILED\",\n",
    "            uclamp)\n",
    "    \n",
    "def assertAttribute(attrib, op, value):\n",
    "    value = float(value)\n",
    "    values = [100.0 if v == 'max' else float(v) for v in df[attrib]]\n",
    "    \n",
    "    result = op(values)\n",
    "\n",
    "    logging.info(\"Assert %s(%-32s) == %6.2f: %8s (measured: %6.2f%%)\",\n",
    "            op, attrib, value,\n",
    "            \"PASS\" if value == result else \"FAILED\",\n",
    "            result)\n",
    "    \n",
    "def assertAttributeValues(attrib, allowed):\n",
    "    values = [100.0 if v == 'max' else float(v) for v in df[attrib]]\n",
    "    \n",
    "    passed = True\n",
    "    for v in values:\n",
    "        if v not in allowed:\n",
    "            passed = False\n",
    "            break\n",
    "\n",
    "    logging.info(\"Assert %-32s in %-16s: %8s\",\n",
    "            attrib, allowed,\n",
    "            \"PASS\" if passed else \"FAILED\")\n",
    "\n",
    "def assertClamps(task_group, op, value):\n",
    "    value = float(value)\n",
    "    values = [100.0 if v == 'max' else float(v) for v in df[task_group:].values[0]]\n",
    "    \n",
    "    result = op(values)\n",
    "\n",
    "    logging.info(\"Assert %s(%-32s) == %6.2f: %8s (measured: %6.2f%%)\",\n",
    "            op, task_group, value,\n",
    "            \"PASS\" if value == result else \"FAILED\",\n",
    "            result)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tests Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import trappy\n",
    "\n",
    "def test(cgname):\n",
    "    \n",
    "    logging.info('#### Start RTApp execution')\n",
    "    with ftrace_coll:\n",
    "        rta.run(cgroup=cgname)\n",
    "\n",
    "    trace_file = os.path.join(rta.res_dir, 'trace.dat')\n",
    "    logging.info('#### Save FTrace: %s', trace_file)\n",
    "    ftrace_coll.get_trace(trace_file)\n",
    "\n",
    "    plat_info_file = os.path.join(rta.res_dir, 'plat_info.yml')\n",
    "    logging.info('#### Save platform description: %s', plat_info_file)\n",
    "    target.plat_info.to_yaml_map(plat_info_file)\n",
    "    logging.info('LITTLE cluster max capacity: %d',\n",
    "                 min(target.plat_info['cpu-capacities'].values()))\n",
    "\n",
    "    trappy.ftrace.FTrace.disable_cache = True\n",
    "    trace = Trace(trace_file, plat_info=target.plat_info, events=events)\n",
    "\n",
    "    return trace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from lisa.trace import TraceView\n",
    "from trappy.utils import listify\n",
    "\n",
    "def get_view(trace, tasks):\n",
    "    tasks = listify(tasks)\n",
    "    pids = [trace.get_task_by_name(task)[0] for task in tasks]\n",
    "    \n",
    "    _df = trace.df_events('sched_switch')\n",
    "    t_start = _df[_df.next_pid.isin(pids)].index[0]-0.5\n",
    "    t_end = _df[_df.prev_pid.isin(pids)].index[-1]+0.5\n",
    "    \n",
    "    return TraceView(trace, (t_start, t_end))\n",
    "\n",
    "def getData(trace, rta):\n",
    "    df = {}\n",
    "    \n",
    "    task = rta.tasks[0]\n",
    "    logfile = os.path.join(rta.res_dir, \"rt-app-{name}-0.log\".format(name=task))\n",
    "  \n",
    "    tv = get_view(trace, task)\n",
    "    \n",
    "    # Get task's PID and CPU\n",
    "    pid = tv.get_task_by_name(task)[0]\n",
    "    sw_df = tv.df_events('sched_switch')\n",
    "    cpu = int(sw_df[sw_df.next_pid == pid].iloc[-1].__cpu)\n",
    "    logging.info(\"Events collected in range (%d, %d) on cpu%d\",\n",
    "                 tv.start, tv.end, cpu)\n",
    "    \n",
    "    # Append UClamp signals\n",
    "    for event in ['uclamp_se', 'uclamp_cfs']:\n",
    "        _df = tv.df_events(event)\n",
    "        if pid and event == 'uclamp_se':\n",
    "            df[event] = _df[_df.pid == pid]\n",
    "        if cpu and event == 'uclamp_cfs':\n",
    "            df[event] = _df[_df.cpu == cpu]\n",
    "    \n",
    "    # Append RTApp execution log. RTApp header can have a variable number of\n",
    "    # rows depending on the configuration.\n",
    "    # Let's skip all the lines starting by # and assigne columns a name by hand.\n",
    "    logging.info(\"Loading RTApp stats from [{logfile}]...\".format(logfile=logfile))\n",
    "    col_names=['idx', 'perf', 'run', 'period', 'start', 'end', 'rel_st', 'slack', 'c_duration', 'c_period', 'wu_lat']\n",
    "    df['rtapp'] = pd.read_csv(logfile, delimiter='\\s+', comment='#', names=col_names, index_col='start')\n",
    "    # Re-align index to trace time\n",
    "    df['rtapp'].reset_index(inplace=True)\n",
    "    t_log = df['rtapp'].start[0]\n",
    "    df['rtapp']['timestamp'] = (df['rtapp'].start - t_log)/1e6 + tv.start\n",
    "    df['rtapp'].set_index('timestamp', inplace=True)\n",
    "\n",
    "    # Append frequency residencies\n",
    "    logging.info(\"Frequency residency [%]:\")\n",
    "    df['opp_res'] = tv.analysis.frequency.df_cpu_frequency_residency(cpu=cpu).T\n",
    "    df['opp_res'] = df['opp_res'].apply(lambda v : v/tv.time_range)\n",
    "    \n",
    "    return df, tv, pid, cpu\n",
    "\n",
    "def doPlot(trace, rta, plot=\"cfs_util rq_util freqs rtapp\"):\n",
    "\n",
    "    # Default lines colors\n",
    "    lines = [\n",
    "        ('uclamp_min',      'y',  '-'),\n",
    "        ('uclamp_max',      'r',  '-'),\n",
    "        ('util_avg',        'b',  ':'),\n",
    "        ('uclamp_avg',      'b',  '-'),\n",
    "    ]\n",
    "    columns = [l for l,_,_ in lines]\n",
    "    colors  = [c for _,c,_ in lines]\n",
    "    style   = [s for _,_,s in lines]\n",
    "\n",
    "    df, tv, pid, cpu = getData(trace, rta)\n",
    "    \n",
    "    # Setup plots\n",
    "    plots_count = len(plot.split())\n",
    "    fig, ax = tv.analysis.frequency.setup_plot(ncols=1, nrows=plots_count, height=plots_count)\n",
    "    ax_id = 0\n",
    "    \n",
    "    if 'cfs_util' in plot:\n",
    "        _ax = ax[ax_id]\n",
    "        ax_id += 1\n",
    "        _df = df['uclamp_se'][tv.start:tv.end]\n",
    "        _df[columns].plot(\n",
    "            ax=_ax, drawstyle='steps-post',\n",
    "            color=colors, style=style, xlim=(tv.start, tv.end),\n",
    "            title=\"SE Clamped Utilization\", grid=True);\n",
    "        _ax.set_ylabel(\"Utilization\")\n",
    "\n",
    "    if 'rq_util' in plot:\n",
    "        _ax = ax[ax_id]\n",
    "        ax_id += 1\n",
    "        _df = df['uclamp_cfs'][tv.start:tv.end]\n",
    "        _df[columns].plot(\n",
    "            ax=_ax, drawstyle='steps-post',\n",
    "            color=colors, style=style, xlim=(tv.start, tv.end),\n",
    "            title=\"RQ Clamped Utilization\", grid=True);\n",
    "        _ax.set_ylabel(\"Utilization\")\n",
    "\n",
    "    if 'freqs' in plot:\n",
    "        _ax = ax[ax_id]\n",
    "        ax_id += 1\n",
    "        logging.info(\"CPU capacity levels: %s\", caps[cpu])\n",
    "        # Ensure we injext first and last events\n",
    "        tv.analysis.frequency.plot_cpu_frequencies(cpu, axis=_ax);\n",
    "        \n",
    "    if 'rtapp' in plot:\n",
    "        _ax = ax[ax_id]\n",
    "        ax_id += 1\n",
    "        _df = df['rtapp']\n",
    "        _df.slack.plot(\n",
    "            ax=_ax,drawstyle='steps-post',\n",
    "            xlim=(tv.start, tv.end),\n",
    "            title=\"RTApp Slack\", grid=True);\n",
    "        _ax.set_ylabel(\"Slack\")\n",
    "\n",
    "    \n",
    "    return df\n",
    "\n",
    "def getResidency(freq):\n",
    "    try:\n",
    "        return float(df['opp_res'][freq][0])\n",
    "    except:\n",
    "        # Requested frquency never used\n",
    "        return 0\n",
    "\n",
    "def assertResidency(freq, expected_pct, err_pct):\n",
    "    ok = True\n",
    "    res = getResidency(freq)\n",
    "    pct_min = expected_pct/100 - err_pct/100\n",
    "    pct_max = expected_pct/100 + err_pct/100\n",
    "    if res < pct_min or res > pct_max:\n",
    "            ok = False\n",
    "    if (res > pct_max):\n",
    "        err =  100*(res-expected_pct/100)\n",
    "    else:\n",
    "        err = -100*(expected_pct/100-res)\n",
    "    logging.info(\"Assert OPP@%9d in [%2d,%2d]: %8s (measured: %2d%%, error: %7.3f%%)\",\n",
    "                freq, 100*pct_min, 100*pct_max,\n",
    "                \"PASS\" if ok else \"FAILED\", 100*res,\n",
    "                 err)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "[Back to Table of Contents](#Table-of-Contents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "# CFS Tasks Clamping"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running on root CGroup does not set constraints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uclamp.min</th>\n",
       "      <th>uclamp.min.effective</th>\n",
       "      <th>uclamp.max</th>\n",
       "      <th>uclamp.max.effective</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cg_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>/</th>\n",
       "      <td>102.4</td>\n",
       "      <td>max</td>\n",
       "      <td>102.4</td>\n",
       "      <td>max</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         uclamp.min uclamp.min.effective  uclamp.max uclamp.max.effective\n",
       "cg_name                                                                  \n",
       "/             102.4                  max       102.4                  max"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "checkGroups(['/'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:17:35,751 INFO    : root         : #### Start RTApp execution\n",
      "2019-08-08 11:17:39,906 INFO    : lisa.wlgen.rta.RTA : Execution start: CGMOUNT=/home/root/devlib-target/cgroups /home/root/devlib-target/bin/shutils cgroups_run_into / /home/root/devlib-target/bin/rt-app /home/root/devlib-target/lisa/wlgen/test_ramp_20190808_111732_eor1oH/test_ramp.json 2>&1\n",
      "2019-08-08 11:17:47,077 INFO    : lisa.wlgen.rta.RTA : Execution complete\n",
      "2019-08-08 11:17:47,794 INFO    : root         : #### Save FTrace: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174/trace.dat\n",
      "2019-08-08 11:17:51,421 INFO    : root         : #### Save platform description: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174/plat_info.yml\n",
      "2019-08-08 11:17:51,534 INFO    : root         : LITTLE cluster max capacity: 383\n",
      "2019-08-08 11:17:53,273 INFO    : lisa.trace.Trace : Platform clusters verified to be Frequency coherent\n",
      "2019-08-08 11:17:53,283 INFO    : root         : Events collected in range (0, 8) on cpu2\n",
      "2019-08-08 11:17:53,286 INFO    : root         : Loading RTApp stats from [/data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174/rt-app-test_task-0.log]...\n",
      "2019-08-08 11:17:53,294 INFO    : root         : Frequency residency [%]:\n",
      "2019-08-08 11:17:53,492 INFO    : root         : CPU capacity levels: {600000: 512, 1000000: 853, 1200000: 1024}\n",
      "2019-08-08 11:17:53,497 INFO    : lisa.analysis.frequency.FrequencyAnalysis : Average frequency for CPU2 : 0.829 GHz\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1152 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace = test(cgname='/')\n",
    "df = doPlot(trace, rta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:17:54,577 INFO    : root         : Assert OPP@   600000 in [42,52]:     PASS (measured: 47%, error:   0.837%)\n",
      "2019-08-08 11:17:54,578 INFO    : root         : Assert OPP@  1000000 in [33,43]:     PASS (measured: 38%, error:   0.525%)\n",
      "2019-08-08 11:17:54,579 INFO    : root         : Assert OPP@  1200000 in [ 6,17]:     PASS (measured: 13%, error:   1.052%)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>frequency</th>\n",
       "      <th>600000</th>\n",
       "      <th>1000000</th>\n",
       "      <th>1200000</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>total_time</th>\n",
       "      <td>0.478369</td>\n",
       "      <td>0.385252</td>\n",
       "      <td>0.130519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>active_time</th>\n",
       "      <td>0.173852</td>\n",
       "      <td>0.239065</td>\n",
       "      <td>0.093705</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "frequency     600000    1000000   1200000\n",
       "total_time   0.478369  0.385252  0.130519\n",
       "active_time  0.173852  0.239065  0.093705"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "assertResidency( 600000, expected_pct=47, err_pct=5)\n",
    "assertResidency(1000000, expected_pct=38, err_pct=5)\n",
    "assertResidency(1200000, expected_pct=12,  err_pct=5)\n",
    "df['opp_res']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running in uclamped group uses the constraints"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### UtilMin at minimum capacity (minus 20% margin)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uclamp.min</th>\n",
       "      <th>uclamp.min.effective</th>\n",
       "      <th>uclamp.max</th>\n",
       "      <th>uclamp.max.effective</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cg_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>/</th>\n",
       "      <td>102.4</td>\n",
       "      <td>max</td>\n",
       "      <td>102.4</td>\n",
       "      <td>max</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/uclamp</th>\n",
       "      <td>37.00</td>\n",
       "      <td>37.01</td>\n",
       "      <td>62.00</td>\n",
       "      <td>62.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        uclamp.min uclamp.min.effective uclamp.max uclamp.max.effective\n",
       "cg_name                                                                \n",
       "/            102.4                  max      102.4                  max\n",
       "/uclamp      37.00                37.01      62.00                62.01"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Minimum capacity on big CPUs\n",
    "big_cpas = target.plat_info['freqs'][big_cpu]\n",
    "min_cap = int(100 * big_cpas[ 0] / big_cpas[-1]) * 0.75\n",
    "max_cap = int(100 * big_cpas[-2] / big_cpas[-1]) * 0.75\n",
    "\n",
    "# Setup a child clamp group\n",
    "uclamp_cg = cpuset_ctr.cgroup('/uclamp')\n",
    "uclamp_cg.set(dict(cpus=big_cpu, mems=0))\n",
    "\n",
    "uclamp_cg = cpu_ctr.cgroup('/uclamp')\n",
    "uclamp_cg.set({'uclamp.min': int(min_cap)}, False)\n",
    "uclamp_cg.set({'uclamp.max': int(max_cap)}, False)\n",
    "checkGroups(['/', '/uclamp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:17:56,753 INFO    : root         : #### Start RTApp execution\n",
      "2019-08-08 11:18:01,050 INFO    : lisa.wlgen.rta.RTA : Execution start: CGMOUNT=/home/root/devlib-target/cgroups /home/root/devlib-target/bin/shutils cgroups_run_into /uclamp /home/root/devlib-target/bin/rt-app /home/root/devlib-target/lisa/wlgen/test_ramp_20190808_111732_eor1oH/test_ramp.json 2>&1\n",
      "2019-08-08 11:18:08,230 INFO    : lisa.wlgen.rta.RTA : Execution complete\n",
      "2019-08-08 11:18:08,933 INFO    : root         : #### Save FTrace: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174/trace.dat\n",
      "2019-08-08 11:18:15,649 INFO    : root         : #### Save platform description: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174/plat_info.yml\n",
      "2019-08-08 11:18:15,771 INFO    : root         : LITTLE cluster max capacity: 383\n",
      "2019-08-08 11:18:18,072 INFO    : lisa.trace.Trace : Platform clusters verified to be Frequency coherent\n",
      "2019-08-08 11:18:18,082 INFO    : root         : Events collected in range (0, 8) on cpu2\n",
      "2019-08-08 11:18:18,086 INFO    : root         : Loading RTApp stats from [/data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174/rt-app-test_task-0.log]...\n",
      "2019-08-08 11:18:18,093 INFO    : root         : Frequency residency [%]:\n",
      "2019-08-08 11:18:18,285 INFO    : root         : CPU capacity levels: {600000: 512, 1000000: 853, 1200000: 1024}\n",
      "2019-08-08 11:18:18,290 INFO    : lisa.analysis.frequency.FrequencyAnalysis : Average frequency for CPU2 : 0.812 GHz\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1152 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace = test(cgname='/uclamp')\n",
    "df = doPlot(trace, rta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:18:19,250 INFO    : root         : Assert OPP@   600000 in [45,55]:     PASS (measured: 45%, error:  -4.055%)\n",
      "2019-08-08 11:18:19,251 INFO    : root         : Assert OPP@  1000000 in [45,55]:     PASS (measured: 53%, error:   3.051%)\n",
      "2019-08-08 11:18:19,251 INFO    : root         : Assert OPP@  1200000 in [-5, 5]:     PASS (measured:  0%, error:   0.494%)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>frequency</th>\n",
       "      <th>600000</th>\n",
       "      <th>1000000</th>\n",
       "      <th>1200000</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>total_time</th>\n",
       "      <td>0.459450</td>\n",
       "      <td>0.530507</td>\n",
       "      <td>0.004944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>active_time</th>\n",
       "      <td>0.166581</td>\n",
       "      <td>0.352711</td>\n",
       "      <td>0.002873</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "frequency     600000    1000000   1200000\n",
       "total_time   0.459450  0.530507  0.004944\n",
       "active_time  0.166581  0.352711  0.002873"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "assertResidency( 600000, expected_pct=50, err_pct=5)\n",
    "assertResidency(1000000, expected_pct=50, err_pct=5)\n",
    "assertResidency(1200000, expected_pct=0,  err_pct=5)\n",
    "df['opp_res']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### UtilMin just above minimum capacity (minus 20% margin)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uclamp.min</th>\n",
       "      <th>uclamp.min.effective</th>\n",
       "      <th>uclamp.max</th>\n",
       "      <th>uclamp.max.effective</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cg_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>/</th>\n",
       "      <td>102.4</td>\n",
       "      <td>max</td>\n",
       "      <td>102.4</td>\n",
       "      <td>max</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/uclamp</th>\n",
       "      <td>42.00</td>\n",
       "      <td>41.99</td>\n",
       "      <td>62.00</td>\n",
       "      <td>62.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        uclamp.min uclamp.min.effective uclamp.max uclamp.max.effective\n",
       "cg_name                                                                \n",
       "/            102.4                  max      102.4                  max\n",
       "/uclamp      42.00                41.99      62.00                62.01"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Minimum capacity on big CPUs\n",
    "big_cpas = target.plat_info['freqs'][big_cpu]\n",
    "min_cap = int(100 * big_cpas[ 0] / big_cpas[-1]) * 0.85\n",
    "max_cap = int(100 * big_cpas[-2] / big_cpas[-1]) * 0.75\n",
    "\n",
    "# Setup a child clamp group\n",
    "uclamp_cg = cpuset_ctr.cgroup('/uclamp')\n",
    "uclamp_cg.set(dict(cpus=big_cpu, mems=0))\n",
    "\n",
    "uclamp_cg = cpu_ctr.cgroup('/uclamp')\n",
    "uclamp_cg.set({'uclamp.min': int(min_cap)}, False)\n",
    "uclamp_cg.set({'uclamp.max': int(max_cap)}, False)\n",
    "checkGroups(['/', '/uclamp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:18:21,078 INFO    : root         : #### Start RTApp execution\n",
      "2019-08-08 11:18:25,571 INFO    : lisa.wlgen.rta.RTA : Execution start: CGMOUNT=/home/root/devlib-target/cgroups /home/root/devlib-target/bin/shutils cgroups_run_into /uclamp /home/root/devlib-target/bin/rt-app /home/root/devlib-target/lisa/wlgen/test_ramp_20190808_111732_eor1oH/test_ramp.json 2>&1\n",
      "2019-08-08 11:18:32,741 INFO    : lisa.wlgen.rta.RTA : Execution complete\n",
      "2019-08-08 11:18:33,448 INFO    : root         : #### Save FTrace: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174/trace.dat\n",
      "2019-08-08 11:18:36,828 INFO    : root         : #### Save platform description: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174/plat_info.yml\n",
      "2019-08-08 11:18:36,914 INFO    : root         : LITTLE cluster max capacity: 383\n",
      "2019-08-08 11:18:38,923 INFO    : lisa.trace.Trace : Platform clusters verified to be Frequency coherent\n",
      "2019-08-08 11:18:38,940 INFO    : root         : Events collected in range (0, 8) on cpu2\n",
      "2019-08-08 11:18:38,947 INFO    : root         : Loading RTApp stats from [/data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174/rt-app-test_task-0.log]...\n",
      "2019-08-08 11:18:38,962 INFO    : root         : Frequency residency [%]:\n",
      "2019-08-08 11:18:39,233 INFO    : root         : CPU capacity levels: {600000: 512, 1000000: 853, 1200000: 1024}\n",
      "2019-08-08 11:18:39,239 INFO    : lisa.analysis.frequency.FrequencyAnalysis : Average frequency for CPU2 : 0.901 GHz\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1152 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace = test(cgname='/uclamp')\n",
    "df = doPlot(trace, rta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:18:40,305 INFO    : root         : Assert OPP@   600000 in [20,30]:     PASS (measured: 23%, error:  -1.603%)\n",
      "2019-08-08 11:18:40,306 INFO    : root         : Assert OPP@  1000000 in [70,80]:     PASS (measured: 75%, error:   0.399%)\n",
      "2019-08-08 11:18:40,307 INFO    : root         : Assert OPP@  1200000 in [-5, 5]:     PASS (measured:  0%, error:   0.569%)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>frequency</th>\n",
       "      <th>600000</th>\n",
       "      <th>1000000</th>\n",
       "      <th>1200000</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>total_time</th>\n",
       "      <td>0.233966</td>\n",
       "      <td>0.753985</td>\n",
       "      <td>0.005688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>active_time</th>\n",
       "      <td>0.049902</td>\n",
       "      <td>0.422395</td>\n",
       "      <td>0.002169</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "frequency     600000    1000000   1200000\n",
       "total_time   0.233966  0.753985  0.005688\n",
       "active_time  0.049902  0.422395  0.002169"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "assertResidency( 600000, expected_pct=25, err_pct=5)\n",
    "assertResidency(1000000, expected_pct=75, err_pct=5)\n",
    "assertResidency(1200000, expected_pct=0,  err_pct=5)\n",
    "df['opp_res']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running in more relaxed group still uses constrains from parents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uclamp.min</th>\n",
       "      <th>uclamp.min.effective</th>\n",
       "      <th>uclamp.max</th>\n",
       "      <th>uclamp.max.effective</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cg_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>/</th>\n",
       "      <td>102.4</td>\n",
       "      <td>max</td>\n",
       "      <td>102.4</td>\n",
       "      <td>max</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/uclamp</th>\n",
       "      <td>42.00</td>\n",
       "      <td>41.99</td>\n",
       "      <td>62.00</td>\n",
       "      <td>62.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/uclamp/app</th>\n",
       "      <td>70.00</td>\n",
       "      <td>41.99</td>\n",
       "      <td>90.00</td>\n",
       "      <td>62.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            uclamp.min uclamp.min.effective uclamp.max uclamp.max.effective\n",
       "cg_name                                                                    \n",
       "/                102.4                  max      102.4                  max\n",
       "/uclamp          42.00                41.99      62.00                62.01\n",
       "/uclamp/app      70.00                41.99      90.00                62.01"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Minimum capacity on big CPUs\n",
    "big_cpas = target.plat_info['freqs'][big_cpu]\n",
    "min_cap = int(100 * big_cpas[ 0] / big_cpas[-1]) * 0.85\n",
    "max_cap = int(100 * big_cpas[-2] / big_cpas[-1]) * 0.75\n",
    "\n",
    "# Setup a PARENT clamp group\n",
    "uclamp_cg = cpuset_ctr.cgroup('/uclamp')\n",
    "uclamp_cg.set(dict(cpus=big_cpu, mems=0))\n",
    "\n",
    "uclamp_cg = cpu_ctr.cgroup('/uclamp')\n",
    "uclamp_cg.set({'uclamp.min': int(min_cap)}, False)\n",
    "uclamp_cg.set({'uclamp.max': int(max_cap)}, False)\n",
    "checkGroups(['/', '/uclamp'])\n",
    "\n",
    "# Setup a PARENT clamp group\n",
    "uclamp_cg = cpuset_ctr.cgroup('/uclamp/app')\n",
    "uclamp_cg.set(dict(cpus=big_cpu, mems=0))\n",
    "\n",
    "uclamp_cg = cpu_ctr.cgroup('/uclamp/app')\n",
    "uclamp_cg.set({'uclamp.min': int(70)}, False)\n",
    "uclamp_cg.set({'uclamp.max': int(90)}, False)\n",
    "checkGroups(['/', '/uclamp', '/uclamp/app'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:18:44,488 INFO    : root         : #### Start RTApp execution\n",
      "2019-08-08 11:18:48,632 INFO    : lisa.wlgen.rta.RTA : Execution start: CGMOUNT=/home/root/devlib-target/cgroups /home/root/devlib-target/bin/shutils cgroups_run_into /uclamp/app /home/root/devlib-target/bin/rt-app /home/root/devlib-target/lisa/wlgen/test_ramp_20190808_111732_eor1oH/test_ramp.json 2>&1\n",
      "2019-08-08 11:18:55,805 INFO    : lisa.wlgen.rta.RTA : Execution complete\n",
      "2019-08-08 11:18:56,520 INFO    : root         : #### Save FTrace: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174/trace.dat\n",
      "2019-08-08 11:19:04,216 INFO    : root         : #### Save platform description: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174/plat_info.yml\n",
      "2019-08-08 11:19:04,335 INFO    : root         : LITTLE cluster max capacity: 383\n",
      "2019-08-08 11:19:06,391 INFO    : lisa.trace.Trace : Platform clusters verified to be Frequency coherent\n",
      "2019-08-08 11:19:06,402 INFO    : root         : Events collected in range (0, 8) on cpu2\n",
      "2019-08-08 11:19:06,405 INFO    : root         : Loading RTApp stats from [/data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111732.663174/rt-app-test_task-0.log]...\n",
      "2019-08-08 11:19:06,412 INFO    : root         : Frequency residency [%]:\n",
      "2019-08-08 11:19:06,695 INFO    : root         : CPU capacity levels: {600000: 512, 1000000: 853, 1200000: 1024}\n",
      "2019-08-08 11:19:06,701 INFO    : lisa.analysis.frequency.FrequencyAnalysis : Average frequency for CPU2 : 0.901 GHz\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x1152 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace = test(cgname='/uclamp/app')\n",
    "df = doPlot(trace, rta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:19:07,728 INFO    : root         : Assert OPP@   600000 in [20,30]:     PASS (measured: 23%, error:  -1.444%)\n",
      "2019-08-08 11:19:07,730 INFO    : root         : Assert OPP@  1000000 in [70,80]:     PASS (measured: 75%, error:   0.472%)\n",
      "2019-08-08 11:19:07,731 INFO    : root         : Assert OPP@  1200000 in [-5, 5]:     PASS (measured:  0%, error:   0.438%)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>frequency</th>\n",
       "      <th>600000</th>\n",
       "      <th>1000000</th>\n",
       "      <th>1200000</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>total_time</th>\n",
       "      <td>0.235556</td>\n",
       "      <td>0.754721</td>\n",
       "      <td>0.004382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>active_time</th>\n",
       "      <td>0.052021</td>\n",
       "      <td>0.421502</td>\n",
       "      <td>0.002294</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "frequency     600000    1000000   1200000\n",
       "total_time   0.235556  0.754721  0.004382\n",
       "active_time  0.052021  0.421502  0.002294"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "assertResidency( 600000, expected_pct=25, err_pct=5)\n",
    "assertResidency(1000000, expected_pct=75, err_pct=5)\n",
    "assertResidency(1200000, expected_pct=0,  err_pct=5)\n",
    "df['opp_res']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "[Back to Table of Contents](#Table-of-Contents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "# RT Tasks Clamping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:19:08,097 INFO    : lisa.wlgen.rta.RTA : Creating target's run_dir: /home/root/devlib-target/lisa/wlgen/test_ramp_rt_20190808_111907_bh88Ac\n",
      "2019-08-08 11:19:08,099 INFO    : lisa.target.Target : Creating result directory: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp_rt-20190808_111908.098722\n",
      "2019-08-08 11:19:08,465 INFO    : lisa.wlgen.rta.RTA : Calibration value: 263\n",
      "2019-08-08 11:19:08,466 INFO    : lisa.wlgen.rta.RTA : Default policy: SCHED_OTHER\n",
      "2019-08-08 11:19:08,468 INFO    : lisa.wlgen.rta.RTA : ------------------------\n",
      "2019-08-08 11:19:08,469 INFO    : lisa.wlgen.rta.RTA : task [test_task], sched: RR\n",
      "2019-08-08 11:19:08,470 INFO    : lisa.wlgen.rta.RTA :  | start delay: 0.000000 [s]\n",
      "2019-08-08 11:19:08,472 INFO    : lisa.wlgen.rta.RTA :  | loops count: 1\n",
      "2019-08-08 11:19:08,473 INFO    : lisa.wlgen.rta.RTA :  + phase_000001\n",
      "2019-08-08 11:19:08,474 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:19:08,475 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  10 %\n",
      "2019-08-08 11:19:08,477 INFO    : lisa.wlgen.rta.Phase :  |  run_time   1600 [us], sleep_time  14400 [us]\n",
      "2019-08-08 11:19:08,478 INFO    : lisa.wlgen.rta.RTA :  + phase_000002\n",
      "2019-08-08 11:19:08,479 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:19:08,481 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  15 %\n",
      "2019-08-08 11:19:08,482 INFO    : lisa.wlgen.rta.Phase :  |  run_time   2400 [us], sleep_time  13600 [us]\n",
      "2019-08-08 11:19:08,483 INFO    : lisa.wlgen.rta.RTA :  + phase_000003\n",
      "2019-08-08 11:19:08,484 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:19:08,485 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  20 %\n",
      "2019-08-08 11:19:08,487 INFO    : lisa.wlgen.rta.Phase :  |  run_time   3200 [us], sleep_time  12800 [us]\n"
     ]
    }
   ],
   "source": [
    "from lisa.wlgen.rta import RTA, Ramp\n",
    "\n",
    "cpu = [cpu for cpu,cap\n",
    "       in target.plat_info['cpu-capacities'].items()\n",
    "       if cap==1024][-1]\n",
    "\n",
    "rtapp_profile = {\n",
    "  'test_task': Ramp(period_ms=16, start_pct=10, end_pct=20,\n",
    "                    delta_pct=5, cpus=[big_cpu], sched_policy='RR', priority=99)\n",
    "}\n",
    "\n",
    "def provide_calibration(calibration):\n",
    "    target.plat_info[\"rtapp\"].add_src(\"user\", {\"calib\" : calibration})\n",
    "# Uncomment if you want to use this\n",
    "provide_calibration({0: 586, 1: 263, 2: 263, 3: 586, 4: 585, 5: 586})\n",
    "\n",
    "\n",
    "rta = RTA.by_profile(target, \"test_ramp_rt\", rtapp_profile, logstats=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Root RQ: Runs at max Capacity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:19:08,862 INFO    : root         : #### Start RTApp execution\n",
      "2019-08-08 11:19:13,177 INFO    : lisa.wlgen.rta.RTA : Execution start: CGMOUNT=/home/root/devlib-target/cgroups /home/root/devlib-target/bin/shutils cgroups_run_into / /home/root/devlib-target/bin/rt-app /home/root/devlib-target/lisa/wlgen/test_ramp_rt_20190808_111907_bh88Ac/test_ramp_rt.json 2>&1\n",
      "2019-08-08 11:19:16,421 INFO    : lisa.wlgen.rta.RTA : Execution complete\n",
      "2019-08-08 11:19:17,161 INFO    : root         : #### Save FTrace: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp_rt-20190808_111908.098722/trace.dat\n",
      "2019-08-08 11:19:22,150 INFO    : root         : #### Save platform description: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp_rt-20190808_111908.098722/plat_info.yml\n",
      "2019-08-08 11:19:22,262 INFO    : root         : LITTLE cluster max capacity: 383\n",
      "2019-08-08 11:19:23,935 INFO    : lisa.trace.Trace : Platform clusters verified to be Frequency coherent\n",
      "2019-08-08 11:19:23,945 INFO    : root         : Events collected in range (0, 4) on cpu2\n",
      "2019-08-08 11:19:23,948 INFO    : root         : Loading RTApp stats from [/data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp_rt-20190808_111908.098722/rt-app-test_task-0.log]...\n",
      "2019-08-08 11:19:23,956 INFO    : root         : Frequency residency [%]:\n",
      "2019-08-08 11:19:24,047 INFO    : root         : CPU capacity levels: {600000: 512, 1000000: 853, 1200000: 1024}\n",
      "2019-08-08 11:19:24,053 INFO    : lisa.analysis.frequency.FrequencyAnalysis : Average frequency for CPU2 : 0.880 GHz\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace = test(cgname='/')\n",
    "df = doPlot(trace, rta, plot='freqs rtapp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:19:24,386 INFO    : root         : Assert OPP@   600000 in [50,60]:     PASS (measured: 50%, error:  -4.193%)\n",
      "2019-08-08 11:19:24,387 INFO    : root         : Assert OPP@  1000000 in [-5, 5]:   FAILED (measured:  5%, error:   5.591%)\n",
      "2019-08-08 11:19:24,389 INFO    : root         : Assert OPP@  1200000 in [40,50]:     PASS (measured: 43%, error:  -1.706%)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>frequency</th>\n",
       "      <th>600000</th>\n",
       "      <th>1000000</th>\n",
       "      <th>1200000</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>total_time</th>\n",
       "      <td>0.508072</td>\n",
       "      <td>0.055912</td>\n",
       "      <td>0.432941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>active_time</th>\n",
       "      <td>0.075513</td>\n",
       "      <td>0.014646</td>\n",
       "      <td>0.063492</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "frequency     600000    1000000   1200000\n",
       "total_time   0.508072  0.055912  0.432941\n",
       "active_time  0.075513  0.014646  0.063492"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "assertResidency( 600000, expected_pct=55, err_pct=5)\n",
    "assertResidency(1000000, expected_pct=0,  err_pct=5)\n",
    "assertResidency(1200000, expected_pct=45, err_pct=5)\n",
    "df['opp_res']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Child RQ: Runs at max CGroups Capacity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uclamp.min</th>\n",
       "      <th>uclamp.min.effective</th>\n",
       "      <th>uclamp.max</th>\n",
       "      <th>uclamp.max.effective</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cg_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>/</th>\n",
       "      <td>102.4</td>\n",
       "      <td>max</td>\n",
       "      <td>102.4</td>\n",
       "      <td>max</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/uclamp</th>\n",
       "      <td>42.50</td>\n",
       "      <td>42.48</td>\n",
       "      <td>85.00</td>\n",
       "      <td>84.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/uclamp/app</th>\n",
       "      <td>75.00</td>\n",
       "      <td>42.48</td>\n",
       "      <td>75.00</td>\n",
       "      <td>75.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            uclamp.min uclamp.min.effective uclamp.max uclamp.max.effective\n",
       "cg_name                                                                    \n",
       "/                102.4                  max      102.4                  max\n",
       "/uclamp          42.50                42.48      85.00                84.96\n",
       "/uclamp/app      75.00                42.48      75.00                75.00"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_cpas = target.plat_info['freqs'][big_cpu]\n",
    "min_cap = int(100 * big_cpas[ 0] / big_cpas[-1]) * 0.85\n",
    "max_cap = int(100 * big_cpas[-1] / big_cpas[-1]) * 0.85\n",
    "uclamp_cg = cpu_ctr.cgroup('/uclamp')\n",
    "uclamp_cg.set({'uclamp.min': min_cap}, False)\n",
    "uclamp_cg.set({'uclamp.max': max_cap}, False)\n",
    "\n",
    "big_cpas = target.plat_info['freqs'][big_cpu]\n",
    "min_cap = int(100 * big_cpas[-1] / big_cpas[-1]) * 0.75\n",
    "max_cap = int(100 * big_cpas[-1] / big_cpas[-1]) * 0.75\n",
    "uclamp_cg = cpu_ctr.cgroup('/uclamp/app')\n",
    "uclamp_cg.set({'uclamp.min': min_cap}, False)\n",
    "uclamp_cg.set({'uclamp.max': max_cap}, False)\n",
    "\n",
    "checkGroups(['/', '/uclamp', '/uclamp/app'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:19:26,163 INFO    : root         : #### Start RTApp execution\n",
      "2019-08-08 11:19:30,541 INFO    : lisa.wlgen.rta.RTA : Execution start: CGMOUNT=/home/root/devlib-target/cgroups /home/root/devlib-target/bin/shutils cgroups_run_into /uclamp/app /home/root/devlib-target/bin/rt-app /home/root/devlib-target/lisa/wlgen/test_ramp_rt_20190808_111907_bh88Ac/test_ramp_rt.json 2>&1\n",
      "2019-08-08 11:19:33,758 INFO    : lisa.wlgen.rta.RTA : Execution complete\n",
      "2019-08-08 11:19:34,470 INFO    : root         : #### Save FTrace: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp_rt-20190808_111908.098722/trace.dat\n",
      "2019-08-08 11:19:38,395 INFO    : root         : #### Save platform description: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp_rt-20190808_111908.098722/plat_info.yml\n",
      "2019-08-08 11:19:38,509 INFO    : root         : LITTLE cluster max capacity: 383\n",
      "2019-08-08 11:19:40,230 INFO    : lisa.trace.Trace : Platform clusters verified to be Frequency coherent\n",
      "2019-08-08 11:19:40,240 INFO    : root         : Events collected in range (0, 4) on cpu2\n",
      "2019-08-08 11:19:40,243 INFO    : root         : Loading RTApp stats from [/data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp_rt-20190808_111908.098722/rt-app-test_task-0.log]...\n",
      "2019-08-08 11:19:40,251 INFO    : root         : Frequency residency [%]:\n",
      "2019-08-08 11:19:40,390 INFO    : root         : CPU capacity levels: {600000: 512, 1000000: 853, 1200000: 1024}\n",
      "2019-08-08 11:19:40,400 INFO    : lisa.analysis.frequency.FrequencyAnalysis : Average frequency for CPU2 : 0.806 GHz\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace = test(cgname='/uclamp/app')\n",
    "df = doPlot(trace, rta, plot='freqs rtapp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:19:40,763 INFO    : root         : Assert OPP@   600000 in [45,55]:     PASS (measured: 48%, error:  -1.231%)\n",
      "2019-08-08 11:19:40,765 INFO    : root         : Assert OPP@  1000000 in [45,55]:     PASS (measured: 48%, error:  -1.300%)\n",
      "2019-08-08 11:19:40,766 INFO    : root         : Assert OPP@  1200000 in [-5, 5]:     PASS (measured:  2%, error:   2.198%)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>frequency</th>\n",
       "      <th>600000</th>\n",
       "      <th>1000000</th>\n",
       "      <th>1200000</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>total_time</th>\n",
       "      <td>0.487692</td>\n",
       "      <td>0.486995</td>\n",
       "      <td>0.021976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>active_time</th>\n",
       "      <td>0.081583</td>\n",
       "      <td>0.093208</td>\n",
       "      <td>0.008423</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "frequency     600000    1000000   1200000\n",
       "total_time   0.487692  0.486995  0.021976\n",
       "active_time  0.081583  0.093208  0.008423"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "assertResidency( 600000, expected_pct=50, err_pct=5)\n",
    "assertResidency(1000000, expected_pct=50, err_pct=5)\n",
    "assertResidency(1200000, expected_pct=0,  err_pct=5)\n",
    "df['opp_res']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Back to Table of Contents](#Table-of-Contents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "# Per-Task API"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configure app clamp groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uclamp.min</th>\n",
       "      <th>uclamp.min.effective</th>\n",
       "      <th>uclamp.max</th>\n",
       "      <th>uclamp.max.effective</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cg_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>/</th>\n",
       "      <td>102.4</td>\n",
       "      <td>max</td>\n",
       "      <td>102.4</td>\n",
       "      <td>max</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/uclamp</th>\n",
       "      <td>44.00</td>\n",
       "      <td>44.04</td>\n",
       "      <td>66.00</td>\n",
       "      <td>66.02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        uclamp.min uclamp.min.effective uclamp.max uclamp.max.effective\n",
       "cg_name                                                                \n",
       "/            102.4                  max      102.4                  max\n",
       "/uclamp      44.00                44.04      66.00                66.02"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cpu_ctr = target.cgroups.controller('cpu')\n",
    "cpuset_ctr = target.cgroups.controller('cpuset')\n",
    "\n",
    "# Setup a child clamp group\n",
    "uclamp_cg = cpuset_ctr.cgroup('/uclamp')\n",
    "uclamp_cg.set(dict(cpus=target.bl.bigs[-1], mems=0))\n",
    "uclamp_cg = cpu_ctr.cgroup('/uclamp')\n",
    "uclamp_cg.set({'uclamp.max': 66}, False)\n",
    "uclamp_cg.set({'uclamp.min': 44}, False)\n",
    "checkGroups(['/', '/uclamp'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configure app with per task clamp values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:19:42,993 INFO    : lisa.wlgen.rta.RTA : Creating target's run_dir: /home/root/devlib-target/lisa/wlgen/test_ramp_20190808_111942_7iIkR4\n",
      "2019-08-08 11:19:42,995 INFO    : lisa.target.Target : Creating result directory: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111942.995274\n",
      "2019-08-08 11:19:43,352 INFO    : lisa.wlgen.rta.RTA : Calibration value: 218\n",
      "2019-08-08 11:19:43,353 INFO    : lisa.wlgen.rta.RTA : Default policy: SCHED_OTHER\n",
      "2019-08-08 11:19:43,355 INFO    : lisa.wlgen.rta.RTA : ------------------------\n",
      "2019-08-08 11:19:43,356 INFO    : lisa.wlgen.rta.RTA : task [test_task], sched: OTHER\n",
      "2019-08-08 11:19:43,357 INFO    : lisa.wlgen.rta.RTA :  | start delay: 0.000000 [s]\n",
      "2019-08-08 11:19:43,359 INFO    : lisa.wlgen.rta.RTA :  | loops count: 1\n",
      "2019-08-08 11:19:43,360 INFO    : lisa.wlgen.rta.RTA :  + phase_000001\n",
      "2019-08-08 11:19:43,361 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:19:43,363 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  10 %\n",
      "2019-08-08 11:19:43,364 INFO    : lisa.wlgen.rta.Phase :  |  run_time   1600 [us], sleep_time  14400 [us]\n",
      "2019-08-08 11:19:43,365 INFO    : lisa.wlgen.rta.RTA :  + phase_000002\n",
      "2019-08-08 11:19:43,366 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:19:43,367 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  20 %\n",
      "2019-08-08 11:19:43,369 INFO    : lisa.wlgen.rta.Phase :  |  run_time   3200 [us], sleep_time  12800 [us]\n",
      "2019-08-08 11:19:43,370 INFO    : lisa.wlgen.rta.RTA :  + phase_000003\n",
      "2019-08-08 11:19:43,371 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:19:43,373 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  30 %\n",
      "2019-08-08 11:19:43,374 INFO    : lisa.wlgen.rta.Phase :  |  run_time   4800 [us], sleep_time  11200 [us]\n",
      "2019-08-08 11:19:43,375 INFO    : lisa.wlgen.rta.RTA :  + phase_000004\n",
      "2019-08-08 11:19:43,376 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:19:43,377 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  40 %\n",
      "2019-08-08 11:19:43,379 INFO    : lisa.wlgen.rta.Phase :  |  run_time   6400 [us], sleep_time   9600 [us]\n",
      "2019-08-08 11:19:43,380 INFO    : lisa.wlgen.rta.RTA :  + phase_000005\n",
      "2019-08-08 11:19:43,381 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:19:43,383 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  50 %\n",
      "2019-08-08 11:19:43,384 INFO    : lisa.wlgen.rta.Phase :  |  run_time   8000 [us], sleep_time   8000 [us]\n",
      "2019-08-08 11:19:43,385 INFO    : lisa.wlgen.rta.RTA :  + phase_000006\n",
      "2019-08-08 11:19:43,386 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:19:43,387 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  60 %\n",
      "2019-08-08 11:19:43,388 INFO    : lisa.wlgen.rta.Phase :  |  run_time   9600 [us], sleep_time   6400 [us]\n",
      "2019-08-08 11:19:43,390 INFO    : lisa.wlgen.rta.RTA :  + phase_000007\n",
      "2019-08-08 11:19:43,391 INFO    : lisa.wlgen.rta.Phase :  | duration 1.000000 [s] (62 loops)\n",
      "2019-08-08 11:19:43,392 INFO    : lisa.wlgen.rta.Phase :  |  period    16000 [us], duty_cycle  70 %\n",
      "2019-08-08 11:19:43,393 INFO    : lisa.wlgen.rta.Phase :  |  run_time  11200 [us], sleep_time   4800 [us]\n"
     ]
    }
   ],
   "source": [
    "from lisa.wlgen.rta import RTA, Ramp\n",
    "import json\n",
    "\n",
    "rtapp_profile = {\n",
    "  'test_task': Ramp(period_ms=16, start_pct=10, end_pct=70,\n",
    "                    delta_pct=10, cpus=[big_cpu], sched_policy='OTHER')\n",
    "}\n",
    "\n",
    "def provide_calibration(calibration):\n",
    "    target.plat_info[\"rtapp\"].add_src(\"user\", {\"calib\" : calibration})\n",
    "# Uncomment if you want to use this\n",
    "provide_calibration({0: 580, 1: 218, 2: 218, 3: 579, 4: 579, 5: 579})    \n",
    "\n",
    "rta = RTA.by_profile(target, \"test_ramp\", rtapp_profile, logstats=True)\n",
    "\n",
    "with open(rta.local_json, 'r') as fh:\n",
    "    conf = json.load(fh)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:19:44,299 INFO    : root         : RT-App Configuration [/data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111942.995274/test_ramp.json]:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'global': {'calibration': 218,\n",
       "  'default_policy': 'SCHED_OTHER',\n",
       "  'duration': -1,\n",
       "  'ftrace': 'main,task,loop,event,stats',\n",
       "  'logdir': '/home/root/devlib-target/lisa/wlgen/test_ramp_20190808_111942_7iIkR4',\n",
       "  'logstats': True},\n",
       " 'tasks': {'test_task': {'delay': 0,\n",
       "   'loop': 1,\n",
       "   'phases': {'p000001': {'cpus': [2],\n",
       "     'loop': 62,\n",
       "     'run': 1600,\n",
       "     'timer': {'period': 16000, 'ref': 'test_task'}},\n",
       "    'p000002': {'cpus': [2],\n",
       "     'loop': 62,\n",
       "     'run': 3200,\n",
       "     'timer': {'period': 16000, 'ref': 'test_task'}},\n",
       "    'p000003': {'boost': 200,\n",
       "     'cpus': [2],\n",
       "     'loop': 62,\n",
       "     'policy': 'SCHED_OTHER',\n",
       "     'run': 4800,\n",
       "     'timer': {'period': 16000, 'ref': 'test_task'}},\n",
       "    'p000004': {'cpus': [2],\n",
       "     'loop': 62,\n",
       "     'run': 6400,\n",
       "     'timer': {'period': 16000, 'ref': 'test_task'}},\n",
       "    'p000005': {'cap': 440,\n",
       "     'cpus': [2],\n",
       "     'loop': 62,\n",
       "     'policy': 'SCHED_OTHER',\n",
       "     'run': 8000,\n",
       "     'timer': {'period': 16000, 'ref': 'test_task'}},\n",
       "    'p000006': {'cpus': [2],\n",
       "     'loop': 62,\n",
       "     'run': 9600,\n",
       "     'timer': {'period': 16000, 'ref': 'test_task'}},\n",
       "    'p000007': {'cpus': [2],\n",
       "     'loop': 62,\n",
       "     'run': 11200,\n",
       "     'timer': {'period': 16000, 'ref': 'test_task'}}},\n",
       "   'policy': 'SCHED_OTHER'}}}"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reduce boost on PHASE_2: from 40% to 10%\n",
    "conf['tasks']['test_task']['phases']['p000003'][u'policy'] = 'SCHED_OTHER'\n",
    "conf['tasks']['test_task']['phases']['p000003'][u'boost']  = 200\n",
    "# cap PHASE_7: from 60% to 30%\n",
    "conf['tasks']['test_task']['phases']['p000005'][u'policy'] = 'SCHED_OTHER'\n",
    "conf['tasks']['test_task']['phases']['p000005'][u'cap']  = 440\n",
    "\n",
    "with open(rta.local_json, 'w') as fh:\n",
    "    json.dump(conf, fh, sort_keys=True)\n",
    "    \n",
    "# Push new configuration and prepare command\n",
    "target.push(rta.local_json, rta.remote_json)\n",
    "cmdline='{} {}  2>&1'.format(target.target.get_installed('rt-app_uclamp'), rta.remote_json)\n",
    "rta.command = cmdline\n",
    "\n",
    "# Report the new confiuration here\n",
    "with open(rta.local_json, 'r') as fh:\n",
    "    conf = json.load(fh)\n",
    "logging.info(\"RT-App Configuration [%s]:\", rta.local_json)\n",
    "conf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": false
   },
   "source": [
    "## Run Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-08-08 11:19:44,321 INFO    : root         : #### Start RTApp execution\n",
      "2019-08-08 11:19:48,843 INFO    : lisa.wlgen.rta.RTA : Execution start: CGMOUNT=/home/root/devlib-target/cgroups /home/root/devlib-target/bin/shutils cgroups_run_into /uclamp /home/root/devlib-target/bin/rt-app_uclamp /home/root/devlib-target/lisa/wlgen/test_ramp_20190808_111942_7iIkR4/test_ramp.json  2>&1\n",
      "2019-08-08 11:19:56,102 INFO    : lisa.wlgen.rta.RTA : Execution complete\n",
      "2019-08-08 11:19:56,818 INFO    : root         : #### Save FTrace: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111942.995274/trace.dat\n",
      "2019-08-08 11:20:00,291 INFO    : root         : #### Save platform description: /data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111942.995274/plat_info.yml\n",
      "2019-08-08 11:20:00,414 INFO    : root         : LITTLE cluster max capacity: 383\n",
      "2019-08-08 11:20:02,554 INFO    : lisa.trace.Trace : Platform clusters verified to be Frequency coherent\n",
      "2019-08-08 11:20:02,565 INFO    : root         : Events collected in range (0, 8) on cpu2\n",
      "2019-08-08 11:20:02,568 INFO    : root         : Loading RTApp stats from [/data/Code/lisa/results/Target-juno-20190808_111703.239066/RTA-test_ramp-20190808_111942.995274/rt-app-test_task-0.log]...\n",
      "2019-08-08 11:20:02,576 INFO    : root         : Frequency residency [%]:\n",
      "2019-08-08 11:20:02,778 INFO    : root         : CPU capacity levels: {600000: 512, 1000000: 853, 1200000: 1024}\n",
      "2019-08-08 11:20:02,785 INFO    : lisa.analysis.frequency.FrequencyAnalysis : Average frequency for CPU2 : 0.873 GHz\n"
     ]
    },
    {
     "data": {
      "image/png": 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