From aae5db07fb0956aa907d85e7d99f3bcd784228c6 Mon Sep 17 00:00:00 2001
From: Zhifei Yang <zhifei.yang@arm.com>
Date: Wed, 24 May 2017 13:48:09 +0800
Subject: [PATCH 1/2] Add new IPython notebooks for EAS workshop in Juno board:
1) arch CPUfreq invariance 2) fork migration 3) CGroup and cpuset 4) prefer
idle
Signed-off-by: Zhifei Yang <zhifei.yang@arm.com>
---
ipynb/workshop/arch_freq_invariance.ipynb | 1635 ++++++++++++++
ipynb/workshop/cgroup_cpuset.ipynb | 1992 +++++++++++++++++
ipynb/workshop/fork_migration.ipynb | 1557 ++++++++++++++
ipynb/workshop/prefer_idle.ipynb | 2361 +++++++++++++++++++++
4 files changed, 7545 insertions(+)
create mode 100644 ipynb/workshop/arch_freq_invariance.ipynb
create mode 100644 ipynb/workshop/cgroup_cpuset.ipynb
create mode 100644 ipynb/workshop/fork_migration.ipynb
create mode 100644 ipynb/workshop/prefer_idle.ipynb
diff --git a/ipynb/workshop/arch_freq_invariance.ipynb b/ipynb/workshop/arch_freq_invariance.ipynb
new file mode 100644
index 000000000..12e130007
--- /dev/null
+++ b/ipynb/workshop/arch_freq_invariance.ipynb
@@ -0,0 +1,1635 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Arch and Freq Invariance"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This notebook shows the architecture and cpu frequency invariance features of EAS."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "import logging\n",
+ "reload(logging)\n",
+ "logging.basicConfig(\n",
+ " format='%(asctime)-9s %(levelname)-8s: %(message)s',\n",
+ " datefmt='%I:%M:%S')\n",
+ "\n",
+ "# Enable logging at INFO level\n",
+ "logging.getLogger().setLevel(logging.INFO)\n",
+ "# Comment the follwing line to disable devlib debugging statements\n",
+ "# logging.getLogger('ssh').setLevel(logging.DEBUG)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "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",
+ "\n",
+ "import json\n",
+ "import os\n",
+ "\n",
+ "import subprocess\n",
+ "\n",
+ "# Support to access the remote target\n",
+ "import devlib\n",
+ "from env import TestEnv\n",
+ "\n",
+ "# Support for trace events analysis\n",
+ "from trace import Trace\n",
+ "#from trace_analysis import TraceAnalysis\n",
+ "\n",
+ "# Support to configure and run RTApp based workloads\n",
+ "from wlgen import RTA\n",
+ "\n",
+ "# Support for performance analysis of RTApp workloads\n",
+ "from perf_analysis import PerfAnalysis\n",
+ "\n",
+ "# Suport for FTrace events parsing and visualization\n",
+ "import trappy"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Test environment setup"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "# Setup a target configuration\n",
+ "my_target_conf = {\n",
+ " \n",
+ " # Define the kind of target platform to use for the experiments\n",
+ " \"platform\" : 'android', # Linux system, valid other options are:\n",
+ " # android - access via ADB\n",
+ " # linux - access via SSH\n",
+ " # host - direct access\n",
+ " \n",
+ " # Preload settings for a specific target\n",
+ " \"board\" : 'juno', # load JUNO specific settings, e.g.\n",
+ " # - HWMON based energy sampling\n",
+ " # - Juno energy model\n",
+ " # valid options are:\n",
+ " # - juno - JUNO Development Board\n",
+ " # - tc2 - TC2 Development Board\n",
+ " # - oak - Mediatek MT63xx based target\n",
+ "\n",
+ " # Define devlib module to load\n",
+ " #\"modules\" : [\n",
+ " # 'bl', # enable big.LITTLE support\n",
+ " # 'cpufreq' # enable CPUFreq support\n",
+ " #],\n",
+ "\n",
+ " # Account to access the remote target\n",
+ " #\"host\" : '192.168.1.101',\n",
+ " \"host\" : '10.169.36.83',\n",
+ " \"username\" : 'root',\n",
+ " \"password\" : '',\n",
+ "\n",
+ " # Comment the following line to force rt-app calibration on your target\n",
+ " \"rtapp-calib\" : {\n",
+ " '0': 361, '1': 138, '2': 138, '3': 352, '4': 360, '5': 353\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "# Setup the required Test Environment supports\n",
+ "my_tests_conf = {\n",
+ " \n",
+ " # Binary tools required to run this experiment\n",
+ " # These tools must be present in the tools/ folder for the architecture\n",
+ " \"tools\" : ['rt-app', 'taskset', 'trace-cmd'],\n",
+ " \n",
+ " # FTrace events end buffer configuration\n",
+ " \"ftrace\" : {\n",
+ " \"events\" : [\n",
+ " \"cpu_frequency\",\n",
+ " \"sched_load_avg_cpu\",\n",
+ " \"sched_load_avg_task\",\n",
+ " \"sched_switch\",\n",
+ " 'dequeue_task_fair', \n",
+ " 'enqueue_task_fair', \n",
+ " 'set_next_entity',\n",
+ "\n",
+ " \n",
+ " \"cpu_capacity\",\n",
+ " \n",
+ " #/sys/kernel/debug/tracing/events/sched\n",
+ " \"sched_blocked_reason\",\n",
+ " \"sched_boost_cpu\",\n",
+ " \"sched_boost_task\",\n",
+ " \"sched_contrib_scale_f\",\n",
+ " \"sched_cpu_hotplug\",\n",
+ " \"sched_energy_diff\",\n",
+ " \"sched_kthread_stop\",\n",
+ " \"sched_kthread_stop_ret\",\n",
+ " \"sched_load_avg_cpu\",\n",
+ " \"sched_load_avg_task\",\n",
+ " \"sched_migrate_task\",\n",
+ " \"sched_move_numa\",\n",
+ " \"sched_pi_setprio\",\n",
+ " \"sched_process_exec\",\n",
+ " \"sched_process_exit\",\n",
+ " \"sched_process_fork\",\n",
+ " \"sched_process_free\",\n",
+ " \"sched_process_wait\",\n",
+ " \"sched_stat_blocked\",\n",
+ " \"sched_stat_iowait\",\n",
+ " \"sched_stat_runtime\",\n",
+ " \"sched_stat_sleep\",\n",
+ " \"sched_stat_wait\",\n",
+ " \"sched_stick_numa\",\n",
+ " \"sched_swap_numa\",\n",
+ " \"sched_switch\",\n",
+ " \"sched_tune_boostgroup_update\",\n",
+ " \"sched_tune_config\",\n",
+ " \"sched_tune_tasks_update\",\n",
+ " \"sched_tune_filter\",\n",
+ " \"sched_wait_task\",\n",
+ " \"sched_wake_idle_without_ipi\",\n",
+ " \"sched_wakeup\",\n",
+ " \"sched_wakeup_new\",\n",
+ " ],\n",
+ " \"buffsize\" : 10240\n",
+ " },\n",
+ "\n",
+ " \"results_dir\" : \"arch_and_freq_invariance\",\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:01:34 INFO : Target - Using base path: /data/lisa_fork/lisa\n",
+ "05:01:34 INFO : Target - Loading custom (inline) target configuration\n",
+ "05:01:34 INFO : Target - Loading custom (inline) test configuration\n",
+ "05:01:34 INFO : Target - External tools using:\n",
+ "05:01:34 INFO : Target - ANDROID_HOME: /home/zhifei/zyang/android-sdk-linux\n",
+ "05:01:34 INFO : Target - CATAPULT_HOME: /data/lisa_fork/lisa/tools/catapult\n",
+ "05:01:34 INFO : Target - Devlib modules to load: ['bl', 'hwmon', 'cpufreq']\n",
+ "05:01:34 INFO : Target - Connecting Android target [192.168.1.101:5555]\n",
+ "05:01:34 INFO : Target - Connection settings:\n",
+ "05:01:34 INFO : Target - {'device': '192.168.1.101:5555'}\n",
+ "05:01:36 INFO : Target - Initializing target workdir:\n",
+ "05:01:36 INFO : Target - /data/local/tmp/devlib-target\n",
+ "05:01:43 INFO : Target - Topology:\n",
+ "05:01:43 INFO : Target - [[0, 3, 4, 5], [1, 2]]\n",
+ "05:01:44 INFO : Platform - Loading default EM:\n",
+ "05:01:44 INFO : Platform - /data/lisa_fork/lisa/libs/utils/platforms/juno.json\n",
+ "05:01:45 WARNING : Event [dequeue_task_fair] not available for tracing\n",
+ "05:01:45 WARNING : Event [enqueue_task_fair] not available for tracing\n",
+ "05:01:45 WARNING : Event [set_next_entity] not available for tracing\n",
+ "05:01:45 INFO : FTrace - Enabled tracepoints:\n",
+ "05:01:45 INFO : FTrace - cpu_frequency\n",
+ "05:01:45 INFO : FTrace - sched_load_avg_cpu\n",
+ "05:01:45 INFO : FTrace - sched_load_avg_task\n",
+ "05:01:45 INFO : FTrace - sched_switch\n",
+ "05:01:45 INFO : FTrace - dequeue_task_fair\n",
+ "05:01:45 INFO : FTrace - enqueue_task_fair\n",
+ "05:01:45 INFO : FTrace - set_next_entity\n",
+ "05:01:45 INFO : FTrace - cpu_capacity\n",
+ "05:01:45 INFO : FTrace - sched_blocked_reason\n",
+ "05:01:45 INFO : FTrace - sched_boost_cpu\n",
+ "05:01:45 INFO : FTrace - sched_boost_task\n",
+ "05:01:45 INFO : FTrace - sched_contrib_scale_f\n",
+ "05:01:45 INFO : FTrace - sched_cpu_hotplug\n",
+ "05:01:45 INFO : FTrace - sched_energy_diff\n",
+ "05:01:45 INFO : FTrace - sched_kthread_stop\n",
+ "05:01:45 INFO : FTrace - sched_kthread_stop_ret\n",
+ "05:01:45 INFO : FTrace - sched_load_avg_cpu\n",
+ "05:01:45 INFO : FTrace - sched_load_avg_task\n",
+ "05:01:45 INFO : FTrace - sched_migrate_task\n",
+ "05:01:45 INFO : FTrace - sched_move_numa\n",
+ "05:01:45 INFO : FTrace - sched_pi_setprio\n",
+ "05:01:45 INFO : FTrace - sched_process_exec\n",
+ "05:01:45 INFO : FTrace - sched_process_exit\n",
+ "05:01:45 INFO : FTrace - sched_process_fork\n",
+ "05:01:45 INFO : FTrace - sched_process_free\n",
+ "05:01:45 INFO : FTrace - sched_process_wait\n",
+ "05:01:45 INFO : FTrace - sched_stat_blocked\n",
+ "05:01:45 INFO : FTrace - sched_stat_iowait\n",
+ "05:01:45 INFO : FTrace - sched_stat_runtime\n",
+ "05:01:45 INFO : FTrace - sched_stat_sleep\n",
+ "05:01:45 INFO : FTrace - sched_stat_wait\n",
+ "05:01:45 INFO : FTrace - sched_stick_numa\n",
+ "05:01:45 INFO : FTrace - sched_swap_numa\n",
+ "05:01:45 INFO : FTrace - sched_switch\n",
+ "05:01:45 INFO : FTrace - sched_tune_boostgroup_update\n",
+ "05:01:45 INFO : FTrace - sched_tune_config\n",
+ "05:01:45 INFO : FTrace - sched_tune_tasks_update\n",
+ "05:01:45 INFO : FTrace - sched_tune_filter\n",
+ "05:01:45 INFO : FTrace - sched_wait_task\n",
+ "05:01:45 INFO : FTrace - sched_wake_idle_without_ipi\n",
+ "05:01:45 INFO : FTrace - sched_wakeup\n",
+ "05:01:45 INFO : FTrace - sched_wakeup_new\n",
+ "05:01:45 WARNING : Target - Using configuration provided RTApp calibration\n",
+ "05:01:45 INFO : Target - Using RT-App calibration values:\n",
+ "05:01:45 INFO : Target - {\"0\": 361, \"1\": 138, \"2\": 138, \"3\": 352, \"4\": 360, \"5\": 353}\n",
+ "05:01:45 WARNING : TestEnv - Wipe previous contents of the results folder:\n",
+ "05:01:45 WARNING : TestEnv - /data/lisa_fork/lisa/results/arch_and_freq_invariance\n",
+ "05:01:45 INFO : HWMon - Scanning for HWMON channels, may take some time...\n",
+ "05:01:45 INFO : HWMon - Channels selected for energy sampling:\n",
+ "05:01:45 INFO : HWMon - BOARDBIG_energy\n",
+ "05:01:45 INFO : HWMon - BOARDLITTLE_energy\n",
+ "05:01:45 INFO : TestEnv - Set results folder to:\n",
+ "05:01:45 INFO : TestEnv - /data/lisa_fork/lisa/results/arch_and_freq_invariance\n",
+ "05:01:45 INFO : TestEnv - Experiment results available also in:\n",
+ "05:01:45 INFO : TestEnv - /data/lisa_fork/lisa/results_latest\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Support to access the remote target\n",
+ "import devlib\n",
+ "from env import TestEnv\n",
+ "\n",
+ "# Initialize a test environment using:\n",
+ "# the provided target configuration (my_target_conf)\n",
+ "# the provided test configuration (my_test_conf)\n",
+ "te = TestEnv(target_conf=my_target_conf, test_conf=my_tests_conf)\n",
+ "target = te.target"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Workload configuration"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:02:28 INFO : WlGen - Setup new workload simple\n",
+ "05:02:28 DEBUG : WlGen - Setup step [postrun] callback to [__postrun] function\n",
+ "05:02:28 DEBUG : WlGen - Configuring a profile-based workload...\n",
+ "05:02:28 DEBUG : RTApp - ref on big cpu: 1\n",
+ "05:02:28 INFO : RTApp - Workload duration defined by longest task\n",
+ "05:02:28 INFO : RTApp - Default policy: SCHED_OTHER\n",
+ "05:02:28 INFO : RTApp - ------------------------\n",
+ "05:02:28 INFO : RTApp - task [task_p50], sched: using default policy\n",
+ "05:02:28 INFO : RTApp - | calibration CPU: 1\n",
+ "05:02:28 INFO : RTApp - | loops count: 1\n",
+ "05:02:28 INFO : RTApp - | CPUs affinity: 1\n",
+ "05:02:28 INFO : RTApp - + phase_000001: duration 10.000000 [s] (25 loops)\n",
+ "05:02:28 INFO : RTApp - | period 400000 [us], duty_cycle 50 %\n",
+ "05:02:28 INFO : RTApp - | run_time 200000 [us], sleep_time 200000 [us]\n",
+ "05:02:28 INFO : RTApp - ------------------------\n",
+ "05:02:28 INFO : RTApp - task [task_r20], sched: using default policy\n",
+ "05:02:28 INFO : RTApp - | calibration CPU: 1\n",
+ "05:02:28 INFO : RTApp - | loops count: 1\n",
+ "05:02:28 INFO : RTApp - + phase_000001: duration 1.000000 [s] (10 loops)\n",
+ "05:02:28 INFO : RTApp - | period 100000 [us], duty_cycle 5 %\n",
+ "05:02:28 INFO : RTApp - | run_time 5000 [us], sleep_time 95000 [us]\n",
+ "05:02:28 INFO : RTApp - + phase_000002: duration 1.000000 [s] (10 loops)\n",
+ "05:02:28 INFO : RTApp - | period 100000 [us], duty_cycle 15 %\n",
+ "05:02:28 INFO : RTApp - | run_time 15000 [us], sleep_time 85000 [us]\n",
+ "05:02:28 INFO : RTApp - + phase_000003: duration 1.000000 [s] (10 loops)\n",
+ "05:02:28 INFO : RTApp - | period 100000 [us], duty_cycle 25 %\n",
+ "05:02:28 INFO : RTApp - | run_time 25000 [us], sleep_time 75000 [us]\n",
+ "05:02:28 INFO : RTApp - + phase_000004: duration 1.000000 [s] (10 loops)\n",
+ "05:02:28 INFO : RTApp - | period 100000 [us], duty_cycle 35 %\n",
+ "05:02:28 INFO : RTApp - | run_time 35000 [us], sleep_time 65000 [us]\n",
+ "05:02:28 INFO : RTApp - + phase_000005: duration 1.000000 [s] (10 loops)\n",
+ "05:02:28 INFO : RTApp - | period 100000 [us], duty_cycle 45 %\n",
+ "05:02:28 INFO : RTApp - | run_time 45000 [us], sleep_time 55000 [us]\n",
+ "05:02:28 INFO : RTApp - + phase_000006: duration 1.000000 [s] (10 loops)\n",
+ "05:02:28 INFO : RTApp - | period 100000 [us], duty_cycle 55 %\n",
+ "05:02:28 INFO : RTApp - | run_time 55000 [us], sleep_time 45000 [us]\n",
+ "05:02:28 INFO : RTApp - + phase_000007: duration 1.000000 [s] (10 loops)\n",
+ "05:02:28 INFO : RTApp - | period 100000 [us], duty_cycle 65 %\n",
+ "05:02:28 INFO : RTApp - | run_time 65000 [us], sleep_time 35000 [us]\n",
+ "05:02:28 INFO : RTApp - + phase_000008: duration 1.000000 [s] (10 loops)\n",
+ "05:02:28 INFO : RTApp - | period 100000 [us], duty_cycle 75 %\n",
+ "05:02:28 INFO : RTApp - | run_time 75000 [us], sleep_time 25000 [us]\n",
+ "05:02:28 INFO : RTApp - + phase_000009: duration 1.000000 [s] (10 loops)\n",
+ "05:02:28 INFO : RTApp - | period 100000 [us], duty_cycle 85 %\n",
+ "05:02:28 INFO : RTApp - | run_time 85000 [us], sleep_time 15000 [us]\n",
+ "05:02:28 INFO : RTApp - + phase_000010: duration 1.000000 [s] (10 loops)\n",
+ "05:02:28 INFO : RTApp - | period 100000 [us], duty_cycle 95 %\n",
+ "05:02:28 INFO : RTApp - | run_time 95000 [us], sleep_time 5000 [us]\n",
+ "05:02:28 DEBUG : adb -s 192.168.1.101:5555 push 'simple_00.json' '/data/local/tmp/devlib-target'\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Support to configure and run RTApp based workloads\n",
+ "from wlgen import RTA, Periodic, Ramp\n",
+ "\n",
+ "# Create a new RTApp workload generator using the calibration values\n",
+ "# reported by the TestEnv module\n",
+ "rtapp = RTA(target, 'simple', calibration=te.calibration())\n",
+ "\n",
+ "# Configure this RTApp instance to:\n",
+ "rtapp.conf(\n",
+ " # 1. generate a \"profile based\" set of tasks\n",
+ " kind='profile',\n",
+ " \n",
+ " # 2. define the \"profile\" of each task\n",
+ " params={\n",
+ " \n",
+ " \n",
+ " 'task_p50': Periodic(\n",
+ " period_ms=400, # period\n",
+ " duty_cycle_pct=50, # duty cycle\n",
+ " duration_s=10, # duration \n",
+ " cpus=str(target.bl.bigs[0]) # pinned on first big CPU\n",
+ " ).get(),\n",
+ " \n",
+ " 'task_r20': Ramp(\n",
+ " start_pct=5, # intial load\n",
+ " end_pct=95, # end load\n",
+ " delta_pct=10, # load % increase...\n",
+ " time_s=1, # ... every 1[s] \n",
+ " ).get(),\n",
+ " },\n",
+ " \n",
+ " # 4. use this folder for task logfiles\n",
+ " run_dir=target.working_directory\n",
+ " \n",
+ ");"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Workload execution round 1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:02:56 INFO : Target ABI: arm64, CPus: ['A53', 'A57', 'A57', 'A53', 'A53', 'A53']\n",
+ "05:02:56 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_set_all_governors performance' | su\"\n",
+ "05:02:56 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor'\"\n",
+ "05:02:56 INFO : Target current governor: performance\n",
+ "05:02:56 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu0/cpufreq/scaling_max_freq'\"\n",
+ "05:02:56 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu0/cpufreq/scaling_cur_freq'\"\n",
+ "05:02:56 INFO : Target big CPU max CPUfreq:850000\n",
+ "\t\t Target big CPU current CPUfreq: 850000\n",
+ "05:02:56 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu1/cpufreq/scaling_max_freq'\"\n",
+ "05:02:56 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu1/cpufreq/scaling_cur_freq'\"\n",
+ "05:02:56 INFO : Target LITTLE CPU max CPUfreq:1100000 \n",
+ "\t\t Target LITTLE CPU current CPUfreq: 1100000\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Set performance governor\n",
+ "#\n",
+ "# For Juno big/LITTLE CPUs\n",
+ "#\n",
+ "logging.info(\"Target ABI: %s, CPus: %s\",\n",
+ " target.abi,\n",
+ " target.cpuinfo.cpu_names)\n",
+ "\n",
+ "target.cpufreq.set_all_governors('performance')\n",
+ "\n",
+ "logging.info(\"Target current governor: %s\",\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n",
+ " )\n",
+ "logging.info(\"Target big CPU max CPUfreq:%s\\n\\t\\t Target big CPU current CPUfreq: %s\", \n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_max_freq\"),\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_cur_freq\")\n",
+ " )\n",
+ "\n",
+ "logging.info(\"Target LITTLE CPU max CPUfreq:%s \\n\\t\\t Target LITTLE CPU current CPUfreq: %s\", \n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu1/cpufreq/scaling_max_freq\"),\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu1/cpufreq/scaling_cur_freq\")\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:03:10 INFO : #### Setup FTrace\n",
+ "05:03:10 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo 10240 > '\\\\''/sys/kernel/debug/tracing/buffer_size_kb'\\\\''' | su\"\n",
+ "05:03:10 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/kernel/debug/tracing/buffer_size_kb'\"\n",
+ "05:03:10 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd reset' | su\"\n",
+ "05:03:11 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd start -e cpu_frequency -e sched_load_avg_cpu -e sched_load_avg_task -e sched_switch -e cpu_capacity -e sched_blocked_reason -e sched_boost_cpu -e sched_boost_task -e sched_contrib_scale_f -e sched_cpu_hotplug -e sched_energy_diff -e sched_kthread_stop -e sched_kthread_stop_ret -e sched_load_avg_cpu -e sched_load_avg_task -e sched_migrate_task -e sched_move_numa -e sched_pi_setprio -e sched_process_exec -e sched_process_exit -e sched_process_fork -e sched_process_free -e sched_process_wait -e sched_stat_blocked -e sched_stat_iowait -e sched_stat_runtime -e sched_stat_sleep -e sched_stat_wait -e sched_stick_numa -e sched_swap_numa -e sched_switch -e sched_tune_boostgroup_update -e sched_tune_config -e sched_tune_tasks_update -e sched_tune_filter -e sched_wait_task -e sched_wake_idle_without_ipi -e sched_wakeup -e sched_wakeup_new' | su\"\n",
+ "05:03:12 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo TRACE_MARKER_START > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "05:03:12 DEBUG : Trace CPUFreq frequencies\n",
+ "05:03:12 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "05:03:12 INFO : #### Start energy sampling\n",
+ "05:03:12 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "05:03:12 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "05:03:12 DEBUG : SAMPLE: {'BOARDBIG': {'total': 0, 'last': 167.068371, 'delta': 0}, 'BOARDLITTLE': {'total': 0, 'last': 149.108949, 'delta': 0}}\n",
+ "05:03:12 DEBUG : RESET: {'BOARDBIG': {'total': 0, 'last': 167.068371, 'delta': 0}, 'BOARDLITTLE': {'total': 0, 'last': 149.108949, 'delta': 0}}\n",
+ "05:03:12 INFO : #### Start RTApp execution\n",
+ "05:03:12 INFO : WlGen - Workload execution START:\n",
+ "05:03:12 INFO : WlGen - /data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\n",
+ "05:03:12 DEBUG : adb -s 192.168.1.101:5555 shell \"/data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\"\n",
+ "05:03:23 DEBUG : WlGen - Callback [postrun]...\n",
+ "05:03:23 DEBUG : RTApp - Pulling logfiles to [/data/lisa_fork/lisa/results/arch_and_freq_invariance]...\n",
+ "05:03:23 DEBUG : adb -s 192.168.1.101:5555 shell ls '/data/local/tmp/devlib-target/*task_r20*.log'\n",
+ "05:03:23 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_r20-1.log' '/data/lisa_fork/lisa/results/arch_and_freq_invariance'\n",
+ "05:03:23 DEBUG : adb -s 192.168.1.101:5555 shell ls '/data/local/tmp/devlib-target/*task_p50*.log'\n",
+ "05:03:23 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_p50-0.log' '/data/lisa_fork/lisa/results/arch_and_freq_invariance'\n",
+ "05:03:23 DEBUG : RTApp - Pulling JSON to [/data/lisa_fork/lisa/results/arch_and_freq_invariance]...\n",
+ "05:03:23 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/simple_00.json' '/data/lisa_fork/lisa/results/arch_and_freq_invariance'\n",
+ "05:03:23 DEBUG : RTApp - Saving output on [/data/lisa_fork/lisa/results/arch_and_freq_invariance/output.log]...\n",
+ "05:03:23 DEBUG : WlGen - Workload execution COMPLETED\n",
+ "05:03:23 INFO : #### Read energy consumption: /data/lisa_fork/lisa/results/arch_and_freq_invariance/energy.json\n",
+ "05:03:23 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "05:03:23 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "05:03:23 DEBUG : SAMPLE: {'BOARDBIG': {'total': 6.589620999999994, 'last': 173.657992, 'delta': 6.589620999999994}, 'BOARDLITTLE': {'total': 1.8965110000000038, 'last': 151.00546, 'delta': 1.8965110000000038}}\n",
+ "05:03:23 DEBUG : HWMon - Energy [ BOARDBIG]: 6.589621\n",
+ "05:03:23 DEBUG : HWMon - Energy [ BOARDLITTLE]: 1.896511\n",
+ "05:03:23 INFO : #### Stop FTrace\n",
+ "05:03:23 DEBUG : Trace CPUFreq frequencies\n",
+ "05:03:23 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "05:03:23 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo TRACE_MARKER_STOP > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "05:03:23 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd stop' | su\"\n",
+ "05:03:24 INFO : #### Save FTrace: /data/lisa_fork/lisa/results/arch_and_freq_invariance/trace.dat\n",
+ "05:03:24 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd extract -o /data/local/tmp/devlib-target/trace.dat' | su\"\n",
+ "05:03:25 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/trace.dat' '/data/lisa_fork/lisa/results/arch_and_freq_invariance/trace.dat'\n",
+ "05:03:26 INFO : #### Save platform description: /data/lisa_fork/lisa/results/arch_and_freq_invariance/platform.json\n",
+ "05:03:26 DEBUG : Platform - Dump platform descriptor in [/data/lisa_fork/lisa/results/arch_and_freq_invariance/platform.json]\n"
+ ]
+ }
+ ],
+ "source": [
+ "logging.info('#### Setup FTrace')\n",
+ "te.ftrace.start()\n",
+ "\n",
+ "logging.info('#### Start energy sampling')\n",
+ "te.emeter.reset()\n",
+ "\n",
+ "logging.info('#### Start RTApp execution')\n",
+ "rtapp.run(out_dir=te.res_dir, cgroup=\"\")\n",
+ "\n",
+ "logging.info('#### Read energy consumption: %s/energy.json', te.res_dir)\n",
+ "nrg_report = te.emeter.report(out_dir=te.res_dir)\n",
+ "\n",
+ "logging.info('#### Stop FTrace')\n",
+ "te.ftrace.stop()\n",
+ "\n",
+ "trace_file = os.path.join(te.res_dir, 'trace.dat')\n",
+ "logging.info('#### Save FTrace: %s', trace_file)\n",
+ "te.ftrace.get_trace(trace_file)\n",
+ "\n",
+ "logging.info('#### Save platform description: %s/platform.json', te.res_dir)\n",
+ "(plt, plt_file) = te.platform_dump(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Collected results"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:04:07 INFO : Content of the output folder /data/lisa_fork/lisa/results/arch_and_freq_invariance\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "total 5048\r\n",
+ "drwxrwxr-x 2 zhifei zhifei 4096 4月 13 17:03 .\r\n",
+ "drwxrwxr-x 30 zhifei zhifei 4096 4月 13 17:01 ..\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 67 4月 13 17:03 energy.json\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 366 4月 13 17:03 output.log\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 1075 4月 13 17:03 platform.json\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 3260 4月 13 17:03 rt-app-task_p50-0.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 12560 4月 13 17:03 rt-app-task_r20-1.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 3265 4月 13 17:03 simple_00.json\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 5124096 4月 13 17:03 trace.dat\r\n"
+ ]
+ }
+ ],
+ "source": [
+ "# All data are produced in the output folder defined by the TestEnv module\n",
+ "logging.info('Content of the output folder %s', te.res_dir)\n",
+ "!ls -la {te.res_dir}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:04:17 INFO : Generated RTApp JSON file:\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Inspect the JSON file used to run the application\n",
+ "with open('{}/simple_00.json'.format(te.res_dir), 'r') as fh:\n",
+ " rtapp_json = json.load(fh, )\n",
+ "logging.info('Generated RTApp JSON file:')\n",
+ "#print json.dumps(rtapp_json, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:04:22 INFO : Energy: /data/lisa_fork/lisa/results/arch_and_freq_invariance/energy.json\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "{\n",
+ " \"LITTLE\": 1.8965110000000038, \n",
+ " \"big\": 6.589620999999994\n",
+ "}\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Dump the energy measured for the LITTLE and big clusters\n",
+ "logging.info('Energy: %s', nrg_report.report_file)\n",
+ "print json.dumps(nrg_report.channels, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:04:59 INFO : Platform description: /data/lisa_fork/lisa/results/arch_and_freq_invariance/platform.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Dump the platform descriptor, which could be useful for further analysis\n",
+ "# of the generated results\n",
+ "logging.info('Platform description: %s', plt_file)\n",
+ "#print json.dumps(plt, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Trace inspection"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ " *\n",
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+ " * You may obtain a copy of the License at\n",
+ " *\n",
+ " * http://www.apache.org/licenses/LICENSE-2.0\n",
+ " *\n",
+ " * Unless required by applicable law or agreed to in writing, software\n",
+ " * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ " * See the License for the specific language governing permissions and\n",
+ " * limitations under the License.\n",
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+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Suport for FTrace events parsing and visualization\n",
+ "import trappy\n",
+ "\n",
+ "# NOTE: The interactive trace visualization is available only if you run\n",
+ "# the workload to generate a new trace-file\n",
+ "trappy.plotter.plot_trace(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:06:13 DEBUG : Loading [sched] events from trace in [/data/lisa_fork/lisa/results/arch_and_freq_invariance]...\n",
+ "05:06:13 DEBUG : Parsing events: ['cpu_frequency', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_switch', 'dequeue_task_fair', 'enqueue_task_fair', 'set_next_entity', 'cpu_capacity', 'sched_blocked_reason', 'sched_boost_cpu', 'sched_boost_task', 'sched_contrib_scale_f', 'sched_cpu_hotplug', 'sched_energy_diff', 'sched_kthread_stop', 'sched_kthread_stop_ret', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_migrate_task', 'sched_move_numa', 'sched_pi_setprio', 'sched_process_exec', 'sched_process_exit', 'sched_process_fork', 'sched_process_free', 'sched_process_wait', 'sched_stat_blocked', 'sched_stat_iowait', 'sched_stat_runtime', 'sched_stat_sleep', 'sched_stat_wait', 'sched_stick_numa', 'sched_swap_numa', 'sched_switch', 'sched_tune_boostgroup_update', 'sched_tune_config', 'sched_tune_tasks_update', 'sched_tune_filter', 'sched_wait_task', 'sched_wake_idle_without_ipi', 'sched_wakeup', 'sched_wakeup_new']\n",
+ "05:06:13 INFO : Parsing FTrace format...\n",
+ "05:06:15 DEBUG : Events found on trace:\n",
+ "05:06:15 DEBUG : - sched_load_avg_task\n",
+ "05:06:15 DEBUG : - sched_wakeup\n",
+ "05:06:15 DEBUG : - sched_wakeup_new\n",
+ "05:06:15 DEBUG : - sched_stat_blocked\n",
+ "05:06:15 DEBUG : - sched_process_exit\n",
+ "05:06:15 DEBUG : - sched_contrib_scale_f\n",
+ "05:06:15 DEBUG : - sched_process_exec\n",
+ "05:06:15 DEBUG : - sched_process_wait\n",
+ "05:06:15 DEBUG : - cpu_frequency\n",
+ "05:06:15 DEBUG : - sched_migrate_task\n",
+ "05:06:15 DEBUG : - sched_process_free\n",
+ "05:06:15 DEBUG : - sched_switch\n",
+ "05:06:15 DEBUG : - sched_stat_sleep\n",
+ "05:06:15 DEBUG : - sched_stat_wait\n",
+ "05:06:15 DEBUG : - sched_boost_task\n",
+ "05:06:15 DEBUG : - sched_load_avg_cpu\n",
+ "05:06:15 DEBUG : - sched_stat_runtime\n",
+ "05:06:15 DEBUG : - sched_stat_iowait\n",
+ "05:06:15 DEBUG : - sched_tune_tasks_update\n",
+ "05:06:15 DEBUG : - sched_process_fork\n",
+ "05:06:15 DEBUG : - sched_blocked_reason\n",
+ "05:06:15 INFO : Platform clusters verified to be Frequency coherent\n",
+ "05:06:15 DEBUG : Lookup dataset for tasks...\n",
+ "05:06:15 INFO : Collected events spans a 11.898 [s] time interval\n",
+ "05:06:15 INFO : Set plots time range to (0.000000, 11.898331)[s]\n",
+ "05:06:15 DEBUG : Registering [<trace.Trace object at 0x7f2814025b50>] local data frames\n",
+ "05:06:15 DEBUG : functions_stats\n",
+ "05:06:15 DEBUG : trace_event\n",
+ "05:06:15 DEBUG : Analysis - Analysis: /data/lisa_fork/lisa/libs/utils/analysis\n",
+ "05:06:15 DEBUG : Analysis - Syspath: ['/data/lisa_fork/lisa/libs/utils/analysis', '/data/lisa_fork/lisa/libs/utils/analysis', '', '/data/lisa_fork/lisa/libs/bart', '/data/lisa_fork/lisa/libs/trappy', '/data/lisa_fork/lisa/libs/devlib', '/data/lisa_fork/lisa/libs/wlgen', '/data/lisa_fork/lisa/libs/utils', '/data/lisa_fork/lisa/ipynb/workshop', '/usr/lib/python2.7', '/usr/lib/python2.7/plat-x86_64-linux-gnu', '/usr/lib/python2.7/lib-tk', '/usr/lib/python2.7/lib-old', '/usr/lib/python2.7/lib-dynload', '/usr/local/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages', '/usr/local/lib/python2.7/dist-packages/IPython/extensions', '/home/zhifei/.ipython']\n",
+ "05:06:15 INFO : Registering trace analysis modules:\n",
+ "05:06:15 DEBUG : Analysis - Filename: tasks_analysis\n",
+ "05:06:15 DEBUG : Registering [<tasks_analysis.TasksAnalysis object at 0x7f280fcaf990>] local data frames\n",
+ "05:06:15 DEBUG : rt_tasks\n",
+ "05:06:15 DEBUG : top_big_tasks\n",
+ "05:06:15 DEBUG : top_wakeup_tasks\n",
+ "05:06:15 DEBUG : trace_event\n",
+ "05:06:15 INFO : tasks\n",
+ "05:06:15 DEBUG : Analysis - Filename: idle_analysis\n",
+ "05:06:15 DEBUG : Registering [<idle_analysis.IdleAnalysis object at 0x7f280fcaf110>] local data frames\n",
+ "05:06:15 DEBUG : cluster_idle_state_residency\n",
+ "05:06:15 DEBUG : cpu_idle_state_residency\n",
+ "05:06:15 DEBUG : trace_event\n",
+ "05:06:15 INFO : idle\n",
+ "05:06:15 DEBUG : Analysis - Filename: latency_analysis\n",
+ "05:06:15 DEBUG : Registering [<latency_analysis.LatencyAnalysis object at 0x7f280fcafa10>] local data frames\n",
+ "05:06:15 DEBUG : latency_df\n",
+ "05:06:15 DEBUG : latency_preemption_df\n",
+ "05:06:15 DEBUG : latency_wakeup_df\n",
+ "05:06:15 DEBUG : trace_event\n",
+ "05:06:15 INFO : latency\n",
+ "05:06:15 DEBUG : Analysis - Filename: functions_analysis\n",
+ "05:06:15 DEBUG : Registering [<functions_analysis.FunctionsAnalysis object at 0x7f280fcaf590>] local data frames\n",
+ "05:06:15 DEBUG : trace_event\n",
+ "05:06:15 INFO : functions\n",
+ "05:06:15 DEBUG : Analysis - Filename: frequency_analysis\n",
+ "05:06:15 DEBUG : Registering [<frequency_analysis.FrequencyAnalysis object at 0x7f280fcaf9d0>] local data frames\n",
+ "05:06:15 DEBUG : cluster_frequency_residency\n",
+ "05:06:15 DEBUG : cpu_frequency_residency\n",
+ "05:06:15 DEBUG : trace_event\n",
+ "05:06:15 INFO : frequency\n",
+ "05:06:15 DEBUG : Analysis - Filename: status_analysis\n",
+ "05:06:15 DEBUG : Registering [<status_analysis.StatusAnalysis object at 0x7f280fcaf950>] local data frames\n",
+ "05:06:15 DEBUG : overutilized\n",
+ "05:06:15 DEBUG : trace_event\n",
+ "05:06:15 INFO : status\n",
+ "05:06:15 DEBUG : Analysis - Filename: eas_analysis\n",
+ "05:06:15 DEBUG : Registering [<eas_analysis.EasAnalysis object at 0x7f280fcafbd0>] local data frames\n",
+ "05:06:15 DEBUG : trace_event\n",
+ "05:06:15 INFO : eas\n",
+ "05:06:15 DEBUG : Analysis - Filename: cpus_analysis\n",
+ "05:06:15 DEBUG : Registering [<cpus_analysis.CpusAnalysis object at 0x7f280fcafb90>] local data frames\n",
+ "05:06:15 DEBUG : context_switches\n",
+ "05:06:15 DEBUG : trace_event\n",
+ "05:06:15 INFO : cpus\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style>\n",
+ "/*\n",
+ " * Copyright 2015-2016 ARM Limited\n",
+ " *\n",
+ " * Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+ " * you may not use this file except in compliance with the License.\n",
+ " * You may obtain a copy of the License at\n",
+ " *\n",
+ " * http://www.apache.org/licenses/LICENSE-2.0\n",
+ " *\n",
+ " * Unless required by applicable law or agreed to in writing, software\n",
+ " * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ " * See the License for the specific language governing permissions and\n",
+ " * limitations under the License.\n",
+ " */\n",
+ "\n",
+ ".d3-tip {\n",
+ " line-height: 1;\n",
+ " padding: 12px;\n",
+ " background: rgba(0, 0, 0, 0.6);\n",
+ " color: #fff;\n",
+ " border-radius: 2px;\n",
+ " position: absolute !important;\n",
+ " z-index: 99999;\n",
+ "}\n",
+ "\n",
+ ".d3-tip:after {\n",
+ " box-sizing: border-box;\n",
+ " pointer-events: none;\n",
+ " display: inline;\n",
+ " font-size: 10px;\n",
+ " width: 100%;\n",
+ " line-height: 1;\n",
+ " color: rgba(0, 0, 0, 0.6);\n",
+ " content: \"\\25BC\";\n",
+ " position: absolute !important;\n",
+ " z-index: 99999;\n",
+ " text-align: center;\n",
+ "}\n",
+ "\n",
+ ".d3-tip.n:after {\n",
+ " margin: -1px 0 0 0;\n",
+ " top: 100%;\n",
+ " left: 0;\n",
+ "}\n",
+ "\n",
+ ".contextRect {\n",
+ " fill: lightgray;\n",
+ " fill-opacity: 0.5;\n",
+ " stroke: black;\n",
+ " stroke-width: 1;\n",
+ " stroke-opacity: 1;\n",
+ " pointer-events: none;\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "\n",
+ ".chart {\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "\n",
+ ".mini text {\n",
+ " font: 9px sans-serif;\n",
+ "}\n",
+ "\n",
+ ".main text {\n",
+ " font: 12px sans-serif;\n",
+ "}\n",
+ "\n",
+ ".axis line, .axis path {\n",
+ " stroke: black;\n",
+ "}\n",
+ "\n",
+ ".miniItem {\n",
+ " stroke-width: 8;\n",
+ "}\n",
+ "\n",
+ ".brush .extent {\n",
+ "\n",
+ " stroke: #000;\n",
+ " fill-opacity: .125;\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "</style>\n",
+ "<div id=\"fig_827e558a4c8c4d5482931009f6e48db0\" class=\"eventplot\">\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://labratrevenge.com/d3-tip/javascripts/d3.tip.v0.6.3.js\" -->\n",
+ "\n",
+ " <script>\n",
+ " /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/EventPlot.js\" */\n",
+ " /* TRAPPY_PUBLISH_REMOVE_START */\n",
+ " var req = require.config( {\n",
+ "\n",
+ " paths: {\n",
+ "\n",
+ " \"EventPlot\": '/nbextensions/plotter_scripts/EventPlot/EventPlot',\n",
+ " \"d3-tip\": '/nbextensions/plotter_scripts/EventPlot/d3.tip.v0.6.3',\n",
+ " \"d3-plotter\": '/nbextensions/plotter_scripts/EventPlot/d3.min'\n",
+ " },\n",
+ " waitSeconds: 15,\n",
+ " shim: {\n",
+ " \"d3-plotter\" : {\n",
+ " \"exports\" : \"d3\"\n",
+ " },\n",
+ " \"d3-tip\": [\"d3-plotter\"],\n",
+ " \"EventPlot\": {\n",
+ "\n",
+ " \"deps\": [\"d3-tip\", \"d3-plotter\" ],\n",
+ " \"exports\": \"EventPlot\"\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " /* TRAPPY_PUBLISH_REMOVE_STOP */\n",
+ " \n",
+ " req([\"require\", \"EventPlot\"], function() { /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " EventPlot.generate('fig_827e558a4c8c4d5482931009f6e48db0', '/nbextensions/', {\"lanes\": [{\"id\": 0, \"label\": \"CPU :0\"}, {\"id\": 1, \"label\": \"CPU :1\"}, {\"id\": 2, \"label\": \"CPU :2\"}, {\"id\": 3, \"label\": \"CPU :3\"}, {\"id\": 4, \"label\": \"CPU :4\"}, {\"id\": 5, \"label\": \"CPU :5\"}], \"colorMap\": null, \"keys\": [\"task_r20-2007\", \"task_p50-2006\"], \"stride\": false, \"showSummary\": true, \"xDomain\": [9.2999999651510734e-05, 11.898330999999416], \"data\": {\"task_r20-2007\": {\"0\": [[5.6064949999999953, 6.4902509999992617], [6.4902809999994133, 6.490961999999854], [6.4909869999992225, 7.1062539999993533], [7.1062809999993988, 7.4902519999996002], [7.4902799999999843, 7.4909599999991769], [7.4909849999994549, 8.1102499999997235], [8.1103399999992689, 8.4902499999998327], [8.4902779999993072, 8.4909599999991769], [8.4909849999994549, 8.50640199999998]], \"1\": [[8.5065609999992375, 8.6787799999992785]], \"2\": [[5.286855999999716, 5.2902709999998478], [5.2903469999992012, 5.4645899999995891], [5.478781999999228, 5.510230999999294], [5.5102419999993799, 5.5349129999995057], [5.5788609999999608, 5.6063279999998485], [8.6824519999991026, 8.7142349999994622], [8.7142479999993157, 8.8142319999997198], [8.8142439999992348, 10.08223099999941], [10.082243999999264, 10.278913999999531], [10.278965999999855, 11.002591999999822]], \"4\": [[0.27888399999937974, 0.29230599999937112], [0.37887099999989005, 0.39226799999960349], [0.47886499999913212, 0.49226599999929022], [0.57886799999960203, 0.59192699999948672], [0.67896599999949103, 0.69236199999977543], [0.77886599999965256, 0.79192599999987578], [0.8788669999994454, 0.89192699999966862], [0.97886799999923824, 0.9919209999998202], [1.0789649999996982, 1.0920159999996031], [1.1788679999999658, 1.1921759999995629], [1.278864999999314, 1.3189699999993536], [1.3788669999994454, 1.4179309999999532], [1.4789659999996729, 1.5190629999997327], [1.5788669999992635, 1.6189559999993435], [1.6788669999996273, 1.7179319999995641], [1.7788719999998648, 1.8179679999993823], [1.8789669999996477, 1.9180409999999029], [1.9788669999998092, 2.017917999999554], [2.0788689999999406, 2.0822679999992033], [2.082445999999436, 2.1190899999992325], [2.1788689999993949, 2.2179329999999027], [2.2789669999992839, 2.3455669999993916], [2.378868999999213, 2.4442249999992782], [2.4788669999998092, 2.5456619999995382], [2.578867999999602, 2.6442539999998189], [2.6789669999998296, 2.7440379999998186], [2.7788659999996526, 2.8439449999996214], [2.8788659999991069, 2.9454739999991943], [2.9788679999992382, 3.0439779999996972], [3.0789669999994658, 3.1457509999991089], [3.1788649999998597, 3.243930999999975], [3.2788659999996526, 3.3723679999993692], [3.378868999999213, 3.4699789999995119], [3.4789659999996729, 3.5701239999998506], [3.5788669999992635, 3.6699399999997695], [3.6788669999996273, 3.7723669999995764], [3.7788689999997587, 3.8699719999995068], [3.8789659999993091, 3.9707529999996041], [3.9788659999994707, 4.0582499999991342], [4.0583329999999478, 4.0703759999996691], [4.0788649999994959, 4.1702759999998307], [4.1788669999996273, 4.2700549999999566], [4.2789659999998548, 5.2866889999995692]]}, \"task_p50-2006\": {\"0\": [[0.27853399999912654, 0.2785489999996571], [0.27857699999913166, 0.27864199999930861]], \"1\": [[0.27866699999958655, 0.48256599999967875], [0.67890099999931408, 0.77023499999995693], [0.77040299999953277, 0.88306999999986147], [1.0788999999995212, 1.2828569999992396], [1.4789019999998345, 1.6830539999991743], [1.8789009999991322, 2.0828169999995225], [2.2788999999993393, 2.2822549999991679], [2.2822989999995116, 2.4829039999995075], [2.6789029999999912, 2.7702369999997245], [2.7704029999995328, 2.8830409999991389], [3.0788989999991827, 3.2827129999996032], [3.4788989999997284, 3.6829459999999017], [3.8788999999997031, 4.0825779999995575], [4.2788999999993393, 4.2822539999997389], [4.2823300000000017, 4.4831169999997655], [4.6788969999997789, 4.7702349999999569], [4.7703999999994267, 4.8828739999999016], [5.0788989999991827, 5.2827689999994618], [5.4788599999992584, 5.4822469999999157], [5.4822599999997692, 5.5822339999995165], [5.5822449999996024, 5.6828749999995125], [5.8788989999993646, 6.0828369999999268], [6.2788989999999103, 6.2822529999994003], [6.2823969999999463, 6.483075999999528], [6.6788969999997789, 6.7702349999999569], [6.7704009999997652, 6.8831689999997252], [7.0788969999994151, 7.2829479999991236], [7.478900999999496, 7.6829839999991236], [7.878896999999597, 8.0826819999992949], [8.2788969999992332, 8.2822529999994003], [8.2823219999991124, 8.4829539999991539], [8.6787799999992785, 8.7702339999996184], [8.7703979999996591, 8.8829969999997047], [9.0788569999995161, 9.0822479999997086], [9.082260999999562, 9.1822319999992033], [9.1822429999992892, 9.2822329999999056], [9.282242999999653, 9.2828579999995782], [9.4788569999991523, 9.4822469999999157], [9.4822599999997692, 9.582231999999749], [9.5822429999998349, 9.6822319999992033], [9.6822419999998601, 9.6829060000000027], [9.878856999999698, 9.8822429999991073], [9.8822569999992993, 9.9822319999993852], [9.9822429999994711, 10.082231999999749], [10.082242999999835, 10.08282699999927], [10.278857999999673, 10.278994999999668]]}}});\n",
+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "events_to_parse = my_tests_conf['ftrace']['events']\n",
+ "\n",
+ "trace = Trace(plt, te.res_dir, events_to_parse)\n",
+ "\n",
+ "ftrace = trace.ftrace\n",
+ "\n",
+ "trappy.plotter.plot_trace(ftrace, execnames=['task_p50', \"task_r20\" ])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Workload Execution Round 2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:06:28 INFO : Target ABI: arm64, CPus: ['A53', 'A57', 'A57', 'A53', 'A53', 'A53']\n",
+ "05:06:28 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_set_all_governors userspace' | su\"\n",
+ "05:06:28 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo 450000 > '\\\\''/sys/devices/system/cpu/cpu0/cpufreq/scaling_setspeed'\\\\''' | su\"\n",
+ "05:06:28 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu0/cpufreq/scaling_setspeed'\"\n",
+ "05:06:28 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo 450000 > '\\\\''/sys/devices/system/cpu/cpu1/cpufreq/scaling_setspeed'\\\\''' | su\"\n",
+ "05:06:28 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu1/cpufreq/scaling_setspeed'\"\n",
+ "05:06:28 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor'\"\n",
+ "05:06:28 INFO : Target current governor: userspace\n",
+ "05:06:28 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu0/cpufreq/scaling_min_freq'\"\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Set userspace governor with lowest CPUfreq\n",
+ "#\n",
+ "# For Juno big/LITTLE CPUs\n",
+ "#\n",
+ "logging.info(\"Target ABI: %s, CPus: %s\",\n",
+ " target.abi,\n",
+ " target.cpuinfo.cpu_names)\n",
+ "\n",
+ "target.cpufreq.set_all_governors('userspace')\n",
+ "\n",
+ "target.write_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_setspeed\", \"450000\")\n",
+ "target.write_value(\"/sys/devices/system/cpu/cpu1/cpufreq/scaling_setspeed\", \"450000\")\n",
+ "\n",
+ "logging.info(\"Target current governor: %s\",\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n",
+ " )\n",
+ "logging.info(\"Target big CPU min CPUfreq:%s\\n\\t\\t Target big CPU current CPUfreq: %s\", \n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_min_freq\"),\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_cur_freq\")\n",
+ " )\n",
+ "\n",
+ "logging.info(\"Target LITTLE CPU min CPUfreq:%s \\n\\t\\t Target LITTLE CPU current CPUfreq: %s\", \n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu1/cpufreq/scaling_min_freq\"),\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu1/cpufreq/scaling_cur_freq\")\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:36:05 INFO : #### Setup FTrace\n",
+ "03:36:05 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo 10240 > '\\\\''/sys/kernel/debug/tracing/buffer_size_kb'\\\\''' | su\"\n",
+ "03:36:06 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/kernel/debug/tracing/buffer_size_kb'\"\n",
+ "03:36:06 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd reset' | su\"\n",
+ "03:36:07 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd start -e cpu_frequency -e sched_load_avg_cpu -e sched_load_avg_task -e sched_switch -e cpu_capacity -e sched_blocked_reason -e sched_boost_cpu -e sched_boost_task -e sched_contrib_scale_f -e sched_cpu_hotplug -e sched_energy_diff -e sched_kthread_stop -e sched_kthread_stop_ret -e sched_load_avg_cpu -e sched_load_avg_task -e sched_migrate_task -e sched_move_numa -e sched_pi_setprio -e sched_process_exec -e sched_process_exit -e sched_process_fork -e sched_process_free -e sched_process_wait -e sched_stat_blocked -e sched_stat_iowait -e sched_stat_runtime -e sched_stat_sleep -e sched_stat_wait -e sched_stick_numa -e sched_swap_numa -e sched_switch -e sched_tune_boostgroup_update -e sched_tune_config -e sched_tune_tasks_update -e sched_tune_filter -e sched_wait_task -e sched_wake_idle_without_ipi -e sched_wakeup -e sched_wakeup_new' | su\"\n",
+ "03:36:08 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo TRACE_MARKER_START > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "03:36:08 DEBUG : Trace CPUFreq frequencies\n",
+ "03:36:08 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "03:36:08 INFO : #### Start energy sampling\n",
+ "03:36:08 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "03:36:08 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "03:36:08 DEBUG : SAMPLE: {'BOARDBIG': {'total': 44.94585, 'last': 61.853862, 'delta': 37.822933}, 'BOARDLITTLE': {'total': 37.69787900000001, 'last': 55.727659, 'delta': 36.489095000000006}}\n",
+ "03:36:08 DEBUG : RESET: {'BOARDBIG': {'total': 0, 'last': 61.853862, 'delta': 0}, 'BOARDLITTLE': {'total': 0, 'last': 55.727659, 'delta': 0}}\n",
+ "03:36:08 INFO : #### Start RTApp execution\n",
+ "03:36:08 INFO : WlGen - Workload execution START:\n",
+ "03:36:08 INFO : WlGen - /data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\n",
+ "03:36:08 DEBUG : adb -s 192.168.1.101:5555 shell \"/data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\"\n",
+ "03:36:23 DEBUG : WlGen - Callback [postrun]...\n",
+ "03:36:23 DEBUG : RTApp - Pulling logfiles to [/data/lisa_fork/lisa/results/arch_and_freq_invariance]...\n",
+ "03:36:23 DEBUG : adb -s 192.168.1.101:5555 shell ls '/data/local/tmp/devlib-target/*task_r20*.log'\n",
+ "03:36:23 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_r20-1.log' '/data/lisa_fork/lisa/results/arch_and_freq_invariance'\n",
+ "03:36:23 DEBUG : adb -s 192.168.1.101:5555 shell ls '/data/local/tmp/devlib-target/*task_p50*.log'\n",
+ "03:36:23 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_p50-0.log' '/data/lisa_fork/lisa/results/arch_and_freq_invariance'\n",
+ "03:36:23 DEBUG : RTApp - Pulling JSON to [/data/lisa_fork/lisa/results/arch_and_freq_invariance]...\n",
+ "03:36:23 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/simple_00.json' '/data/lisa_fork/lisa/results/arch_and_freq_invariance'\n",
+ "03:36:23 DEBUG : RTApp - Saving output on [/data/lisa_fork/lisa/results/arch_and_freq_invariance/output.log]...\n",
+ "03:36:23 DEBUG : WlGen - Workload execution COMPLETED\n",
+ "03:36:23 INFO : #### Read energy consumption: /data/lisa_fork/lisa/results/arch_and_freq_invariance/energy.json\n",
+ "03:36:23 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "03:36:23 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "03:36:23 DEBUG : SAMPLE: {'BOARDBIG': {'total': 5.662669000000001, 'last': 67.516531, 'delta': 5.662669000000001}, 'BOARDLITTLE': {'total': 0.45157599999999576, 'last': 56.179235, 'delta': 0.45157599999999576}}\n",
+ "03:36:23 DEBUG : HWMon - Energy [ BOARDBIG]: 5.662669\n",
+ "03:36:23 DEBUG : HWMon - Energy [ BOARDLITTLE]: 0.451576\n",
+ "03:36:23 INFO : #### Stop FTrace\n",
+ "03:36:23 DEBUG : Trace CPUFreq frequencies\n",
+ "03:36:23 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "03:36:24 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo TRACE_MARKER_STOP > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "03:36:24 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd stop' | su\"\n",
+ "03:36:24 INFO : #### Save FTrace: /data/lisa_fork/lisa/results/arch_and_freq_invariance/trace.dat\n",
+ "03:36:24 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd extract -o /data/local/tmp/devlib-target/trace.dat' | su\"\n",
+ "03:36:26 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/trace.dat' '/data/lisa_fork/lisa/results/arch_and_freq_invariance/trace.dat'\n",
+ "03:36:27 INFO : #### Save platform description: /data/lisa_fork/lisa/results/arch_and_freq_invariance/platform.json\n",
+ "03:36:27 DEBUG : Platform - Dump platform descriptor in [/data/lisa_fork/lisa/results/arch_and_freq_invariance/platform.json]\n"
+ ]
+ }
+ ],
+ "source": [
+ "logging.info('#### Setup FTrace')\n",
+ "te.ftrace.start()\n",
+ "\n",
+ "logging.info('#### Start energy sampling')\n",
+ "te.emeter.reset()\n",
+ "\n",
+ "logging.info('#### Start RTApp execution')\n",
+ "rtapp.run(out_dir=te.res_dir, cgroup=\"\")\n",
+ "\n",
+ "logging.info('#### Read energy consumption: %s/energy.json', te.res_dir)\n",
+ "nrg_report = te.emeter.report(out_dir=te.res_dir)\n",
+ "\n",
+ "logging.info('#### Stop FTrace')\n",
+ "te.ftrace.stop()\n",
+ "\n",
+ "trace_file = os.path.join(te.res_dir, 'trace.dat')\n",
+ "logging.info('#### Save FTrace: %s', trace_file)\n",
+ "te.ftrace.get_trace(trace_file)\n",
+ "\n",
+ "logging.info('#### Save platform description: %s/platform.json', te.res_dir)\n",
+ "(plt, plt_file) = te.platform_dump(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:36:32 INFO : Content of the output folder /data/lisa_fork/lisa/results/arch_and_freq_invariance\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "total 16860\r\n",
+ "drwxrwxr-x 2 zhifei zhifei 4096 4月 13 15:36 .\r\n",
+ "drwxrwxr-x 30 zhifei zhifei 4096 4月 13 15:15 ..\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 68 4月 13 15:36 energy.json\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 366 4月 13 15:36 output.log\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 1075 4月 13 15:36 platform.json\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 3260 4月 13 15:36 rt-app-task_p50-0.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 12560 4月 13 15:36 rt-app-task_r20-1.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 3265 4月 13 15:36 simple_00.json\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 6496256 4月 13 15:36 trace.dat\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 5465764 4月 13 15:35 trace.raw.txt\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 5252393 4月 13 15:35 trace.txt\r\n"
+ ]
+ }
+ ],
+ "source": [
+ "# All data are produced in the output folder defined by the TestEnv module\n",
+ "logging.info('Content of the output folder %s', te.res_dir)\n",
+ "!ls -la {te.res_dir}"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Collected Results"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Trace inspection"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>\n",
+ "/*\n",
+ " * Copyright 2015-2016 ARM Limited\n",
+ " *\n",
+ " * Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+ " * you may not use this file except in compliance with the License.\n",
+ " * You may obtain a copy of the License at\n",
+ " *\n",
+ " * http://www.apache.org/licenses/LICENSE-2.0\n",
+ " *\n",
+ " * Unless required by applicable law or agreed to in writing, software\n",
+ " * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ " * See the License for the specific language governing permissions and\n",
+ " * limitations under the License.\n",
+ " */\n",
+ "\n",
+ ".d3-tip {\n",
+ " line-height: 1;\n",
+ " padding: 12px;\n",
+ " background: rgba(0, 0, 0, 0.6);\n",
+ " color: #fff;\n",
+ " border-radius: 2px;\n",
+ " position: absolute !important;\n",
+ " z-index: 99999;\n",
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+ "\n",
+ ".d3-tip:after {\n",
+ " box-sizing: border-box;\n",
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+ " display: inline;\n",
+ " font-size: 10px;\n",
+ " width: 100%;\n",
+ " line-height: 1;\n",
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+ " position: absolute !important;\n",
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+ ".d3-tip.n:after {\n",
+ " margin: -1px 0 0 0;\n",
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+ " stroke-width: 1;\n",
+ " stroke-opacity: 1;\n",
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+ " shape-rendering: crispEdges;\n",
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+ ".mini text {\n",
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+ ".brush .extent {\n",
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+ " stroke: #000;\n",
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+ "<div id=\"fig_1c4edc0283ba4e6d9d8738be68aa0e50\" class=\"eventplot\">\n",
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+ "\n",
+ " <script>\n",
+ " /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/EventPlot.js\" */\n",
+ " /* TRAPPY_PUBLISH_REMOVE_START */\n",
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+ " \"d3-plotter\" : {\n",
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+ " \"EventPlot\": {\n",
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+ " \"deps\": [\"d3-tip\", \"d3-plotter\" ],\n",
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+ "source": [
+ "# Suport for FTrace events parsing and visualization\n",
+ "import trappy\n",
+ "\n",
+ "# NOTE: The interactive trace visualization is available only if you run\n",
+ "# the workload to generate a new trace-file\n",
+ "trappy.plotter.plot_trace(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:37:27 DEBUG : Loading [sched] events from trace in [/data/lisa_fork/lisa/results/arch_and_freq_invariance]...\n",
+ "03:37:27 DEBUG : Parsing events: ['cpu_frequency', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_switch', 'dequeue_task_fair', 'enqueue_task_fair', 'set_next_entity', 'cpu_capacity', 'sched_blocked_reason', 'sched_boost_cpu', 'sched_boost_task', 'sched_contrib_scale_f', 'sched_cpu_hotplug', 'sched_energy_diff', 'sched_kthread_stop', 'sched_kthread_stop_ret', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_migrate_task', 'sched_move_numa', 'sched_pi_setprio', 'sched_process_exec', 'sched_process_exit', 'sched_process_fork', 'sched_process_free', 'sched_process_wait', 'sched_stat_blocked', 'sched_stat_iowait', 'sched_stat_runtime', 'sched_stat_sleep', 'sched_stat_wait', 'sched_stick_numa', 'sched_swap_numa', 'sched_switch', 'sched_tune_boostgroup_update', 'sched_tune_config', 'sched_tune_tasks_update', 'sched_tune_filter', 'sched_wait_task', 'sched_wake_idle_without_ipi', 'sched_wakeup', 'sched_wakeup_new']\n",
+ "03:37:27 INFO : Parsing FTrace format...\n",
+ "03:37:29 DEBUG : Events found on trace:\n",
+ "03:37:29 DEBUG : - sched_load_avg_task\n",
+ "03:37:29 DEBUG : - sched_wakeup\n",
+ "03:37:29 DEBUG : - sched_wakeup_new\n",
+ "03:37:29 DEBUG : - sched_stat_blocked\n",
+ "03:37:29 DEBUG : - sched_process_exit\n",
+ "03:37:29 DEBUG : - sched_contrib_scale_f\n",
+ "03:37:29 DEBUG : - sched_process_exec\n",
+ "03:37:29 DEBUG : - sched_process_wait\n",
+ "03:37:29 DEBUG : - cpu_frequency\n",
+ "03:37:29 DEBUG : - sched_migrate_task\n",
+ "03:37:29 DEBUG : - sched_process_free\n",
+ "03:37:29 DEBUG : - sched_switch\n",
+ "03:37:29 DEBUG : - sched_stat_sleep\n",
+ "03:37:29 DEBUG : - sched_stat_wait\n",
+ "03:37:29 DEBUG : - sched_boost_task\n",
+ "03:37:29 DEBUG : - sched_load_avg_cpu\n",
+ "03:37:29 DEBUG : - sched_stat_runtime\n",
+ "03:37:29 DEBUG : - sched_stat_iowait\n",
+ "03:37:29 DEBUG : - sched_tune_tasks_update\n",
+ "03:37:29 DEBUG : - sched_process_fork\n",
+ "03:37:29 DEBUG : - sched_blocked_reason\n",
+ "03:37:29 INFO : Platform clusters verified to be Frequency coherent\n",
+ "03:37:29 DEBUG : Lookup dataset for tasks...\n",
+ "03:37:29 INFO : Collected events spans a 16.000 [s] time interval\n",
+ "03:37:29 INFO : Set plots time range to (0.000000, 16.000498)[s]\n",
+ "03:37:29 DEBUG : Registering [<trace.Trace object at 0x7fe96a868950>] local data frames\n",
+ "03:37:29 DEBUG : functions_stats\n",
+ "03:37:29 DEBUG : trace_event\n",
+ "03:37:29 DEBUG : Analysis - Analysis: /data/lisa_fork/lisa/libs/utils/analysis\n",
+ "03:37:29 DEBUG : Analysis - Syspath: ['/data/lisa_fork/lisa/libs/utils/analysis', '/data/lisa_fork/lisa/libs/utils/analysis', '', '/data/lisa_fork/lisa/libs/bart', '/data/lisa_fork/lisa/libs/trappy', '/data/lisa_fork/lisa/libs/devlib', '/data/lisa_fork/lisa/libs/wlgen', '/data/lisa_fork/lisa/libs/utils', '/data/lisa_fork/lisa/ipynb/workshop', '/usr/lib/python2.7', '/usr/lib/python2.7/plat-x86_64-linux-gnu', '/usr/lib/python2.7/lib-tk', '/usr/lib/python2.7/lib-old', '/usr/lib/python2.7/lib-dynload', '/usr/local/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages', '/usr/local/lib/python2.7/dist-packages/IPython/extensions', '/home/zhifei/.ipython']\n",
+ "03:37:29 INFO : Registering trace analysis modules:\n",
+ "03:37:29 DEBUG : Analysis - Filename: tasks_analysis\n",
+ "03:37:29 DEBUG : Registering [<tasks_analysis.TasksAnalysis object at 0x7fe96a85aed0>] local data frames\n",
+ "03:37:29 DEBUG : rt_tasks\n",
+ "03:37:29 DEBUG : top_big_tasks\n",
+ "03:37:29 DEBUG : top_wakeup_tasks\n",
+ "03:37:29 DEBUG : trace_event\n",
+ "03:37:29 INFO : tasks\n",
+ "03:37:29 DEBUG : Analysis - Filename: idle_analysis\n",
+ "03:37:29 DEBUG : Registering [<idle_analysis.IdleAnalysis object at 0x7fe96a85af10>] local data frames\n",
+ "03:37:29 DEBUG : cluster_idle_state_residency\n",
+ "03:37:29 DEBUG : cpu_idle_state_residency\n",
+ "03:37:29 DEBUG : trace_event\n",
+ "03:37:29 INFO : idle\n",
+ "03:37:29 DEBUG : Analysis - Filename: latency_analysis\n",
+ "03:37:29 DEBUG : Registering [<latency_analysis.LatencyAnalysis object at 0x7fe96a695710>] local data frames\n",
+ "03:37:29 DEBUG : latency_df\n",
+ "03:37:29 DEBUG : latency_preemption_df\n",
+ "03:37:29 DEBUG : latency_wakeup_df\n",
+ "03:37:29 DEBUG : trace_event\n",
+ "03:37:29 INFO : latency\n",
+ "03:37:29 DEBUG : Analysis - Filename: functions_analysis\n",
+ "03:37:29 DEBUG : Registering [<functions_analysis.FunctionsAnalysis object at 0x7fe96a85a1d0>] local data frames\n",
+ "03:37:29 DEBUG : trace_event\n",
+ "03:37:29 INFO : functions\n",
+ "03:37:29 DEBUG : Analysis - Filename: frequency_analysis\n",
+ "03:37:29 DEBUG : Registering [<frequency_analysis.FrequencyAnalysis object at 0x7fe96a85a290>] local data frames\n",
+ "03:37:29 DEBUG : cluster_frequency_residency\n",
+ "03:37:29 DEBUG : cpu_frequency_residency\n",
+ "03:37:29 DEBUG : trace_event\n",
+ "03:37:29 INFO : frequency\n",
+ "03:37:29 DEBUG : Analysis - Filename: status_analysis\n",
+ "03:37:29 DEBUG : Registering [<status_analysis.StatusAnalysis object at 0x7fe96a85af50>] local data frames\n",
+ "03:37:29 DEBUG : overutilized\n",
+ "03:37:29 DEBUG : trace_event\n",
+ "03:37:29 INFO : status\n",
+ "03:37:29 DEBUG : Analysis - Filename: eas_analysis\n",
+ "03:37:29 DEBUG : Registering [<eas_analysis.EasAnalysis object at 0x7fe96a85af90>] local data frames\n",
+ "03:37:29 DEBUG : trace_event\n",
+ "03:37:29 INFO : eas\n",
+ "03:37:29 DEBUG : Analysis - Filename: cpus_analysis\n",
+ "03:37:29 DEBUG : Registering [<cpus_analysis.CpusAnalysis object at 0x7fe96a85a490>] local data frames\n",
+ "03:37:29 DEBUG : context_switches\n",
+ "03:37:29 DEBUG : trace_event\n",
+ "03:37:29 INFO : cpus\n"
+ ]
+ },
+ {
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+ " * You may obtain a copy of the License at\n",
+ " *\n",
+ " * http://www.apache.org/licenses/LICENSE-2.0\n",
+ " *\n",
+ " * Unless required by applicable law or agreed to in writing, software\n",
+ " * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ " * See the License for the specific language governing permissions and\n",
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[10.012162999999873, 10.016133999999965], [10.0161599999999, 10.020138999999972], [10.020164999999906, 10.024132000000009], [10.024155999999948, 10.100144], [10.10017199999993, 10.200130999999828], [10.200158999999985, 10.30013299999996], [10.300160999999889, 10.400132999999869], [10.400159999999914, 10.408352999999806], [10.408582999999908, 10.41059899999982], [10.410629999999855, 10.414168999999902], [10.414324999999963, 10.417647999999872], [10.417671999999811, 10.500133000000005], [10.500160999999935, 10.600131999999803], [10.600156999999854, 10.644180000000006], [10.64420599999994, 10.648135999999795], [10.648160999999845, 10.652132999999822], [10.652158999999983, 10.656134999999949], [10.656158999999889, 10.660131999999976], [10.660155999999915, 10.700140999999803], [10.700166999999965, 10.744174999999814], [10.744197999999869, 10.748136999999815], [10.748160999999982, 10.752131999999847], [10.752158000000009, 10.756133999999975], [10.756158999999798, 10.760132999999996], [10.760157999999819, 10.800131999999849], [10.80015800000001, 10.900131999999985], [10.900157999999919, 11.000145999999859], [11.000210999999808, 11.100131999999803], [11.100157999999965, 11.200132999999823], [11.200158999999985, 11.300141999999823], [11.30016999999998, 11.400131999999985], [11.400157999999919, 11.500133000000005], [11.50015899999994, 11.600133999999798], [11.60015999999996, 11.700132999999823], [11.700158999999985, 11.800131999999849], [11.80015800000001, 11.90014199999996], [11.900167999999894, 12.000148999999965], [12.00020799999993, 12.004129999999805], [12.004187999999886, 12.100131999999803], [12.100157999999965, 12.200133999999935], [12.20016099999998, 12.300131999999849], [12.30015800000001, 12.400143999999955], [12.400169999999889, 12.50014299999998], [12.500167999999803, 12.600132999999914], [12.600161999999955, 12.70013199999994], [12.700157999999874, 12.800131999999849], [12.800158999999894, 12.840126999999939], [12.840151999999989, 12.900130999999874], [12.900155999999924, 13.000149999999849], [13.000178999999889, 14.000131999999894], [14.000163999999813, 14.004130999999916], [14.004290999999967, 14.905213999999887]], \"4\": [[0.39794199999982993, 0.39865699999995741], [0.39869499999986147, 0.3988609999998971], [0.39904299999989234, 0.39994599999999991], [0.39997999999991407, 0.40026599999987411]]}, \"task_p50-1599\": {\"1\": [[0.39777599999979429, 0.6761349999999311], [0.67633499999988089, 1.0002479999998286], [1.000280999999859, 1.0161299999999756], [1.0162119999999959, 1.6761419999997997], [1.6763320000000022, 2.0121309999999539], [2.0121609999998782, 2.67612999999983], [2.6763219999998, 3.0161299999999756], [3.0162429999998039, 3.6761309999999412], [3.6763209999999162, 4.676131999999825], [4.676330999999891, 5.0161309999998593], [5.0162299999999505, 5.6761309999999412], [5.676323999999795, 6.0002159999999094], [6.0002489999999398, 6.676131999999825], [6.6763219999998, 7.0121309999999539], [7.0121599999999944, 7.0161299999999756], [7.0162109999998847, 7.67612999999983], [7.6763209999999162, 7.688130000000001], [7.6881539999999404, 8.0002079999999296], [8.00024099999996, 8.6761309999999412], [8.676330999999891, 9.0121299999998428], [9.0121589999998832, 9.0161319999999705], [9.0161959999998089, 9.6761309999999412], [9.6763219999998, 10.000204999999823], [10.00023699999997, 10.67612999999983], [10.6763219999998, 11.012129999999843], [11.012158999999883, 11.016130999999859], [11.01619299999993, 11.67612999999983], [11.6763219999998, 12.676132999999936], [12.676323999999795, 12.901566999999886], [12.901652000000013, 12.901811999999836]]}}});\n",
+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "events_to_parse = my_tests_conf['ftrace']['events']\n",
+ "\n",
+ "trace = Trace(plt, te.res_dir, events_to_parse)\n",
+ "\n",
+ "ftrace = trace.ftrace\n",
+ "\n",
+ "trappy.plotter.plot_trace(ftrace, execnames=['task_p50', \"task_r20\" ])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "celltoolbar": "Raw Cell Format",
+ "kernelspec": {
+ "display_name": "Python 2",
+ "language": "python",
+ "name": "python2"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 2
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython2",
+ "version": "2.7.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/ipynb/workshop/cgroup_cpuset.ipynb b/ipynb/workshop/cgroup_cpuset.ipynb
new file mode 100644
index 000000000..552e78172
--- /dev/null
+++ b/ipynb/workshop/cgroup_cpuset.ipynb
@@ -0,0 +1,1992 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# CGroup and CPUset"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This notebook demonstrates the workload behaviour for cgroup and cpuset in EAS workshop"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "import logging\n",
+ "reload(logging)\n",
+ "logging.basicConfig(\n",
+ " format='%(asctime)-9s %(levelname)-8s: %(message)s',\n",
+ " datefmt='%I:%M:%S')\n",
+ "\n",
+ "# Enable logging at INFO level\n",
+ "logging.getLogger().setLevel(logging.INFO)\n",
+ "# Comment the follwing line to disable devlib debugging statements\n",
+ "# logging.getLogger('ssh').setLevel(logging.DEBUG)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Populating the interactive namespace from numpy and matplotlib\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Generate plots inline\n",
+ "%pylab inline\n",
+ "\n",
+ "import json\n",
+ "import os\n",
+ "import subprocess\n",
+ "\n",
+ "# Support to access the remote target\n",
+ "import devlib\n",
+ "from env import TestEnv\n",
+ "\n",
+ "# Support for trace events analysis\n",
+ "from trace import Trace\n",
+ "from trace_analysis import TraceAnalysis\n",
+ "\n",
+ "# Support to configure and run RTApp based workloads\n",
+ "from wlgen import RTA\n",
+ "\n",
+ "# Support for performance analysis of RTApp workloads\n",
+ "from perf_analysis import PerfAnalysis\n",
+ "\n",
+ "# Suport for FTrace events parsing and visualization\n",
+ "import trappy"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Test environment setup"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "# Setup a target configuration\n",
+ "my_target_conf = {\n",
+ " \n",
+ " # Define the kind of target platform to use for the experiments\n",
+ " \"platform\" : 'android', # Linux system, valid other options are:\n",
+ " # android - access via ADB\n",
+ " # linux - access via SSH\n",
+ " # host - direct access\n",
+ " \n",
+ " # Preload settings for a specific target\n",
+ " \"board\" : 'juno', # load JUNO specific settings, e.g.\n",
+ " # - HWMON based energy sampling\n",
+ " # - Juno energy model\n",
+ " # valid options are:\n",
+ " # - juno - JUNO Development Board\n",
+ " # - tc2 - TC2 Development Board\n",
+ " # - oak - Mediatek MT63xx based target\n",
+ "\n",
+ " # Define devlib module to load\n",
+ " #\"modules\" : [\n",
+ " # 'bl', # enable big.LITTLE support\n",
+ " # 'cpufreq' # enable CPUFreq support\n",
+ " #],\n",
+ "\n",
+ " # Account to access the remote target\n",
+ " \"host\" : '192.168.1.101',\n",
+ " \"username\" : 'root',\n",
+ " \"password\" : '',\n",
+ "\n",
+ " # Comment the following line to force rt-app calibration on your target\n",
+ " \"rtapp-calib\" : {\n",
+ " '0': 361, '1': 138, '2': 138, '3': 352, '4': 360, '5': 353\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "# Setup the required Test Environment supports\n",
+ "my_tests_conf = {\n",
+ " \n",
+ " # Binary tools required to run this experiment\n",
+ " # These tools must be present in the tools/ folder for the architecture\n",
+ " \"tools\" : ['rt-app', 'taskset', 'trace-cmd'],\n",
+ " \n",
+ " # FTrace events end buffer configuration\n",
+ " \"ftrace\" : {\n",
+ " \"events\" : [\n",
+ " \"cpu_frequency\",\n",
+ " \"sched_load_avg_cpu\",\n",
+ " \"sched_load_avg_task\",\n",
+ " \"sched_switch\",\n",
+ " 'dequeue_task_fair', \n",
+ " 'enqueue_task_fair', \n",
+ " 'set_next_entity',\n",
+ "\n",
+ " \n",
+ " \"cpu_capacity\",\n",
+ " \n",
+ " #/sys/kernel/debug/tracing/events/sched\n",
+ " \"sched_blocked_reason\",\n",
+ " \"sched_boost_cpu\",\n",
+ " \"sched_boost_task\",\n",
+ " \"sched_contrib_scale_f\",\n",
+ " \"sched_cpu_hotplug\",\n",
+ " \"sched_energy_diff\",\n",
+ " \"sched_kthread_stop\",\n",
+ " \"sched_kthread_stop_ret\",\n",
+ " \"sched_load_avg_cpu\",\n",
+ " \"sched_load_avg_task\",\n",
+ " \"sched_migrate_task\",\n",
+ " \"sched_move_numa\",\n",
+ " \"sched_pi_setprio\",\n",
+ " \"sched_process_exec\",\n",
+ " \"sched_process_exit\",\n",
+ " \"sched_process_fork\",\n",
+ " \"sched_process_free\",\n",
+ " \"sched_process_wait\",\n",
+ " \"sched_stat_blocked\",\n",
+ " \"sched_stat_iowait\",\n",
+ " \"sched_stat_runtime\",\n",
+ " \"sched_stat_sleep\",\n",
+ " \"sched_stat_wait\",\n",
+ " \"sched_stick_numa\",\n",
+ " \"sched_swap_numa\",\n",
+ " \"sched_switch\",\n",
+ " \"sched_tune_boostgroup_update\",\n",
+ " \"sched_tune_config\",\n",
+ " \"sched_tune_tasks_update\",\n",
+ " \"sched_tune_filter\",\n",
+ " \"sched_wait_task\",\n",
+ " \"sched_wake_idle_without_ipi\",\n",
+ " \"sched_wakeup\",\n",
+ " \"sched_wakeup_new\",\n",
+ " \n",
+ " \n",
+ " ],\n",
+ " \"buffsize\" : 10240\n",
+ " },\n",
+ " \"results_dir\" : \"eas_cgroup_cpuset\",\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "collapsed": false,
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:08:59 INFO : Target - Using base path: /data/lisa_fork/lisa\n",
+ "05:08:59 INFO : Target - Loading custom (inline) target configuration\n",
+ "05:08:59 INFO : Target - Loading custom (inline) test configuration\n",
+ "05:08:59 INFO : Target - External tools using:\n",
+ "05:08:59 INFO : Target - ANDROID_HOME: /home/zhifei/zyang/android-sdk-linux\n",
+ "05:08:59 INFO : Target - CATAPULT_HOME: /data/lisa_fork/lisa/tools/catapult\n",
+ "05:08:59 INFO : Target - Devlib modules to load: ['bl', 'hwmon', 'cpufreq']\n",
+ "05:08:59 INFO : Target - Connecting Android target [192.168.1.101:5555]\n",
+ "05:08:59 INFO : Target - Connection settings:\n",
+ "05:08:59 INFO : Target - {'device': '192.168.1.101:5555'}\n",
+ "05:09:02 INFO : Target - Initializing target workdir:\n",
+ "05:09:02 INFO : Target - /data/local/tmp/devlib-target\n",
+ "05:09:08 INFO : Target - Topology:\n",
+ "05:09:08 INFO : Target - [[0, 3, 4, 5], [1, 2]]\n",
+ "05:09:08 INFO : Platform - Loading default EM:\n",
+ "05:09:08 INFO : Platform - /data/lisa_fork/lisa/libs/utils/platforms/juno.json\n",
+ "05:09:11 WARNING : Event [dequeue_task_fair] not available for tracing\n",
+ "05:09:11 WARNING : Event [enqueue_task_fair] not available for tracing\n",
+ "05:09:11 WARNING : Event [set_next_entity] not available for tracing\n",
+ "05:09:11 INFO : FTrace - Enabled tracepoints:\n",
+ "05:09:11 INFO : FTrace - cpu_frequency\n",
+ "05:09:11 INFO : FTrace - sched_load_avg_cpu\n",
+ "05:09:11 INFO : FTrace - sched_load_avg_task\n",
+ "05:09:11 INFO : FTrace - sched_switch\n",
+ "05:09:11 INFO : FTrace - dequeue_task_fair\n",
+ "05:09:11 INFO : FTrace - enqueue_task_fair\n",
+ "05:09:11 INFO : FTrace - set_next_entity\n",
+ "05:09:11 INFO : FTrace - cpu_capacity\n",
+ "05:09:11 INFO : FTrace - sched_blocked_reason\n",
+ "05:09:11 INFO : FTrace - sched_boost_cpu\n",
+ "05:09:11 INFO : FTrace - sched_boost_task\n",
+ "05:09:11 INFO : FTrace - sched_contrib_scale_f\n",
+ "05:09:11 INFO : FTrace - sched_cpu_hotplug\n",
+ "05:09:11 INFO : FTrace - sched_energy_diff\n",
+ "05:09:11 INFO : FTrace - sched_kthread_stop\n",
+ "05:09:11 INFO : FTrace - sched_kthread_stop_ret\n",
+ "05:09:11 INFO : FTrace - sched_load_avg_cpu\n",
+ "05:09:11 INFO : FTrace - sched_load_avg_task\n",
+ "05:09:11 INFO : FTrace - sched_migrate_task\n",
+ "05:09:11 INFO : FTrace - sched_move_numa\n",
+ "05:09:11 INFO : FTrace - sched_pi_setprio\n",
+ "05:09:11 INFO : FTrace - sched_process_exec\n",
+ "05:09:11 INFO : FTrace - sched_process_exit\n",
+ "05:09:11 INFO : FTrace - sched_process_fork\n",
+ "05:09:11 INFO : FTrace - sched_process_free\n",
+ "05:09:11 INFO : FTrace - sched_process_wait\n",
+ "05:09:11 INFO : FTrace - sched_stat_blocked\n",
+ "05:09:11 INFO : FTrace - sched_stat_iowait\n",
+ "05:09:11 INFO : FTrace - sched_stat_runtime\n",
+ "05:09:11 INFO : FTrace - sched_stat_sleep\n",
+ "05:09:11 INFO : FTrace - sched_stat_wait\n",
+ "05:09:11 INFO : FTrace - sched_stick_numa\n",
+ "05:09:11 INFO : FTrace - sched_swap_numa\n",
+ "05:09:11 INFO : FTrace - sched_switch\n",
+ "05:09:11 INFO : FTrace - sched_tune_boostgroup_update\n",
+ "05:09:11 INFO : FTrace - sched_tune_config\n",
+ "05:09:11 INFO : FTrace - sched_tune_tasks_update\n",
+ "05:09:11 INFO : FTrace - sched_tune_filter\n",
+ "05:09:11 INFO : FTrace - sched_wait_task\n",
+ "05:09:11 INFO : FTrace - sched_wake_idle_without_ipi\n",
+ "05:09:11 INFO : FTrace - sched_wakeup\n",
+ "05:09:11 INFO : FTrace - sched_wakeup_new\n",
+ "05:09:11 WARNING : Target - Using configuration provided RTApp calibration\n",
+ "05:09:11 INFO : Target - Using RT-App calibration values:\n",
+ "05:09:11 INFO : Target - {\"0\": 361, \"1\": 138, \"2\": 138, \"3\": 352, \"4\": 360, \"5\": 353}\n",
+ "05:09:11 WARNING : TestEnv - Wipe previous contents of the results folder:\n",
+ "05:09:11 WARNING : TestEnv - /data/lisa_fork/lisa/results/eas_cgroup_cpuset\n",
+ "05:09:11 INFO : HWMon - Scanning for HWMON channels, may take some time...\n",
+ "05:09:11 INFO : HWMon - Channels selected for energy sampling:\n",
+ "05:09:11 INFO : HWMon - BOARDBIG_energy\n",
+ "05:09:11 INFO : HWMon - BOARDLITTLE_energy\n",
+ "05:09:11 INFO : TestEnv - Set results folder to:\n",
+ "05:09:11 INFO : TestEnv - /data/lisa_fork/lisa/results/eas_cgroup_cpuset\n",
+ "05:09:11 INFO : TestEnv - Experiment results available also in:\n",
+ "05:09:11 INFO : TestEnv - /data/lisa_fork/lisa/results_latest\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Support to access the remote target\n",
+ "import devlib\n",
+ "from env import TestEnv\n",
+ "\n",
+ "# Initialize a test environment using:\n",
+ "# the provided target configuration (my_target_conf)\n",
+ "# the provided test configuration (my_test_conf)\n",
+ "te = TestEnv(target_conf=my_target_conf, test_conf=my_tests_conf)\n",
+ "target = te.target"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Workload configuration"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:09:47 INFO : WlGen - Setup new workload simple\n",
+ "05:09:47 DEBUG : WlGen - Setup step [postrun] callback to [__postrun] function\n",
+ "05:09:47 DEBUG : WlGen - Configuring a profile-based workload...\n",
+ "05:09:47 DEBUG : RTApp - ref on big cpu: 1\n",
+ "05:09:47 INFO : RTApp - Workload duration defined by longest task\n",
+ "05:09:47 INFO : RTApp - Default policy: SCHED_OTHER\n",
+ "05:09:47 INFO : RTApp - ------------------------\n",
+ "05:09:47 INFO : RTApp - task [task_p1], sched: using default policy\n",
+ "05:09:47 INFO : RTApp - | calibration CPU: 1\n",
+ "05:09:47 INFO : RTApp - | loops count: 1\n",
+ "05:09:47 INFO : RTApp - | CPUs affinity: 0\n",
+ "05:09:47 INFO : RTApp - + phase_000001: duration 10.000000 [s] (100 loops)\n",
+ "05:09:47 INFO : RTApp - | period 100000 [us], duty_cycle 10 %\n",
+ "05:09:47 INFO : RTApp - | run_time 10000 [us], sleep_time 90000 [us]\n",
+ "05:09:47 INFO : RTApp - ------------------------\n",
+ "05:09:47 INFO : RTApp - task [task_p2], sched: using default policy\n",
+ "05:09:47 INFO : RTApp - | calibration CPU: 1\n",
+ "05:09:47 INFO : RTApp - | loops count: 1\n",
+ "05:09:47 INFO : RTApp - | CPUs affinity: 1\n",
+ "05:09:47 INFO : RTApp - + phase_000001: duration 10.000000 [s] (100 loops)\n",
+ "05:09:47 INFO : RTApp - | period 100000 [us], duty_cycle 10 %\n",
+ "05:09:47 INFO : RTApp - | run_time 10000 [us], sleep_time 90000 [us]\n",
+ "05:09:47 INFO : RTApp - ------------------------\n",
+ "05:09:47 INFO : RTApp - task [task_r1], sched: using default policy\n",
+ "05:09:47 INFO : RTApp - | calibration CPU: 1\n",
+ "05:09:47 INFO : RTApp - | loops count: 1\n",
+ "05:09:47 INFO : RTApp - | CPUs affinity: 2\n",
+ "05:09:47 INFO : RTApp - + phase_000001: duration 1.000000 [s] (10 loops)\n",
+ "05:09:47 INFO : RTApp - | period 100000 [us], duty_cycle 10 %\n",
+ "05:09:47 INFO : RTApp - | run_time 10000 [us], sleep_time 90000 [us]\n",
+ "05:09:47 INFO : RTApp - + phase_000002: duration 1.000000 [s] (10 loops)\n",
+ "05:09:47 INFO : RTApp - | period 100000 [us], duty_cycle 15 %\n",
+ "05:09:47 INFO : RTApp - | run_time 15000 [us], sleep_time 85000 [us]\n",
+ "05:09:47 INFO : RTApp - + phase_000003: duration 1.000000 [s] (10 loops)\n",
+ "05:09:47 INFO : RTApp - | period 100000 [us], duty_cycle 20 %\n",
+ "05:09:47 INFO : RTApp - | run_time 20000 [us], sleep_time 80000 [us]\n",
+ "05:09:47 INFO : RTApp - + phase_000004: duration 1.000000 [s] (10 loops)\n",
+ "05:09:47 INFO : RTApp - | period 100000 [us], duty_cycle 25 %\n",
+ "05:09:47 INFO : RTApp - | run_time 25000 [us], sleep_time 75000 [us]\n",
+ "05:09:47 INFO : RTApp - + phase_000005: duration 1.000000 [s] (10 loops)\n",
+ "05:09:47 INFO : RTApp - | period 100000 [us], duty_cycle 30 %\n",
+ "05:09:47 INFO : RTApp - | run_time 30000 [us], sleep_time 70000 [us]\n",
+ "05:09:47 INFO : RTApp - ------------------------\n",
+ "05:09:47 INFO : RTApp - task [task_r2], sched: using default policy\n",
+ "05:09:47 INFO : RTApp - | calibration CPU: 1\n",
+ "05:09:47 INFO : RTApp - | loops count: 1\n",
+ "05:09:47 INFO : RTApp - | CPUs affinity: 3\n",
+ "05:09:47 INFO : RTApp - + phase_000001: duration 1.000000 [s] (10 loops)\n",
+ "05:09:47 INFO : RTApp - | period 100000 [us], duty_cycle 10 %\n",
+ "05:09:47 INFO : RTApp - | run_time 10000 [us], sleep_time 90000 [us]\n",
+ "05:09:47 INFO : RTApp - + phase_000002: duration 1.000000 [s] (10 loops)\n",
+ "05:09:47 INFO : RTApp - | period 100000 [us], duty_cycle 15 %\n",
+ "05:09:47 INFO : RTApp - | run_time 15000 [us], sleep_time 85000 [us]\n",
+ "05:09:47 INFO : RTApp - + phase_000003: duration 1.000000 [s] (10 loops)\n",
+ "05:09:47 INFO : RTApp - | period 100000 [us], duty_cycle 20 %\n",
+ "05:09:47 INFO : RTApp - | run_time 20000 [us], sleep_time 80000 [us]\n",
+ "05:09:47 INFO : RTApp - + phase_000004: duration 1.000000 [s] (10 loops)\n",
+ "05:09:47 INFO : RTApp - | period 100000 [us], duty_cycle 25 %\n",
+ "05:09:47 INFO : RTApp - | run_time 25000 [us], sleep_time 75000 [us]\n",
+ "05:09:47 INFO : RTApp - + phase_000005: duration 1.000000 [s] (10 loops)\n",
+ "05:09:47 INFO : RTApp - | period 100000 [us], duty_cycle 30 %\n",
+ "05:09:47 INFO : RTApp - | run_time 30000 [us], sleep_time 70000 [us]\n",
+ "05:09:47 DEBUG : adb -s 192.168.1.101:5555 push 'simple_00.json' '/data/local/tmp/devlib-target'\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Support to configure and run RTApp based workloads\n",
+ "from wlgen import RTA, Periodic, Ramp\n",
+ "\n",
+ "# Create a new RTApp workload generator using the calibration values\n",
+ "# reported by the TestEnv module\n",
+ "rtapp = RTA(target, 'simple', calibration=te.calibration())\n",
+ "\n",
+ "# Configure this RTApp instance to:\n",
+ "rtapp.conf(\n",
+ " # 1. generate a \"profile based\" set of tasks\n",
+ " kind='profile', \n",
+ " \n",
+ " # 2. define the \"profile\" of each task\n",
+ " params={\n",
+ " 'task_p1': Periodic(\n",
+ " period_ms=100, # period\n",
+ " duty_cycle_pct=10, # duty cycle\n",
+ " duration_s=10, # duration \n",
+ " cpus=\"0\",\n",
+ " ).get(),\n",
+ " 'task_p2': Periodic(\n",
+ " period_ms=100, # period\n",
+ " duty_cycle_pct=10, # duty cycle\n",
+ " duration_s=10, # duration \n",
+ " cpus=str(target.bl.bigs[0]), # \"1\"\n",
+ " ).get(),\n",
+ " 'task_r1': Ramp(\n",
+ " start_pct=10, # intial load\n",
+ " end_pct=30, # end load\n",
+ " delta_pct=5, # load % increase...\n",
+ " time_s=1, # ... every 1[s]\n",
+ " cpus=\"2\",\n",
+ " ).get(),\n",
+ " 'task_r2': Ramp(\n",
+ " start_pct=10, # intial load\n",
+ " end_pct=30, # end load\n",
+ " delta_pct=5, # load % increase...\n",
+ " time_s=1, # ... every 1[s]\n",
+ " cpus=\"3\"\n",
+ " ).get(),\n",
+ " }, \n",
+ " \n",
+ " # 4. use this folder for task logfiles\n",
+ " run_dir=target.working_directory\n",
+ " \n",
+ ");"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# CPU governor setting"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:09:50 INFO : Target ABI: arm64, CPus: ['A53', 'A57', 'A57', 'A53', 'A53', 'A53']\n",
+ "05:09:50 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_set_all_governors sched' | su\"\n",
+ "05:09:50 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor'\"\n",
+ "05:09:50 INFO : Target current governor: sched\n",
+ "05:09:50 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu0/cpufreq/scaling_max_freq'\"\n",
+ "05:09:50 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu0/cpufreq/scaling_cur_freq'\"\n",
+ "05:09:50 INFO : Target big CPU max CPUfreq:850000\n",
+ "\t\t Target big CPU current CPUfreq: 450000\n",
+ "05:09:50 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu1/cpufreq/scaling_max_freq'\"\n",
+ "05:09:50 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/devices/system/cpu/cpu1/cpufreq/scaling_cur_freq'\"\n",
+ "05:09:50 INFO : Target LITTLE CPU max CPUfreq:1100000 \n",
+ "\t\t Target LITTLE CPU current CPUfreq: 1100000\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Set Sched governor\n",
+ "#\n",
+ "# For Juno big/LITTLE CPUs\n",
+ "#\n",
+ "logging.info(\"Target ABI: %s, CPus: %s\",\n",
+ " target.abi,\n",
+ " target.cpuinfo.cpu_names)\n",
+ "\n",
+ "target.cpufreq.set_all_governors('sched')\n",
+ "\n",
+ "logging.info(\"Target current governor: %s\",\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n",
+ " )\n",
+ "logging.info(\"Target big CPU max CPUfreq:%s\\n\\t\\t Target big CPU current CPUfreq: %s\", \n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_max_freq\"),\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_cur_freq\")\n",
+ " )\n",
+ "\n",
+ "logging.info(\"Target LITTLE CPU max CPUfreq:%s \\n\\t\\t Target LITTLE CPU current CPUfreq: %s\", \n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu1/cpufreq/scaling_max_freq\"),\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu1/cpufreq/scaling_cur_freq\")\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# CGroup configuration"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:11:09 DEBUG : adb -s 192.168.1.101:5555 shell \"mount -t tmpfs cgroup_root /sys/fs/cgroup\"\n",
+ "05:11:09 DEBUG : adb -s 192.168.1.101:5555 shell \"mkdir /sys/fs/cgroup/devlib_cpu\"\n",
+ "05:11:09 DEBUG : adb -s 192.168.1.101:5555 shell \"mount -t cgroup -ocpu none /sys/fs/cgroup/devlib_cpu\"\n",
+ "05:11:09 DEBUG : adb -s 192.168.1.101:5555 shell \"cd /sys/fs/cgroup/devlib_cpu\"\n",
+ "05:11:09 DEBUG : adb -s 192.168.1.101:5555 shell \"mkdir /sys/fs/cgroup/devlib_cpu/high_load\"\n"
+ ]
+ },
+ {
+ "ename": "TargetError",
+ "evalue": "Got exit code 1\nfrom: adb -s 192.168.1.101:5555 shell \"mkdir /sys/fs/cgroup/devlib_cpu/high_load\"\nSTDOUT: \nSTDERR: mkdir: '/sys/fs/cgroup/devlib_cpu/high_load': File exists\n",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[1;31m\u001b[0m",
+ "\u001b[1;31mTargetError\u001b[0mTraceback (most recent call last)",
+ "\u001b[1;32m<ipython-input-8-9e84c4069eaf>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mtarget\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"cd /sys/fs/cgroup/devlib_cpu\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m \u001b[0mtarget\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"mkdir /sys/fs/cgroup/devlib_cpu/high_load\"\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# create high_load group of tasks\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 8\u001b[0m \u001b[0mtarget\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"mkdir /sys/fs/cgroup/devlib_cpu/low_load\"\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# create low_load group of tasks\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 9\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;32m/data/lisa_fork/lisa/libs/devlib/devlib/target.pyc\u001b[0m in \u001b[0;36mexecute\u001b[1;34m(self, command, timeout, check_exit_code, as_root)\u001b[0m\n\u001b[0;32m 264\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 265\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mexecute\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcommand\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcheck_exit_code\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mas_root\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 266\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcommand\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcheck_exit_code\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mas_root\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 267\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 268\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mbackground\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcommand\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstdout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msubprocess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPIPE\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstderr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msubprocess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPIPE\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mas_root\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;32m/data/lisa_fork/lisa/libs/devlib/devlib/utils/android.pyc\u001b[0m in \u001b[0;36mexecute\u001b[1;34m(self, command, timeout, check_exit_code, as_root)\u001b[0m\n\u001b[0;32m 201\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mexecute\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcommand\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcheck_exit_code\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mas_root\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 202\u001b[0m return adb_shell(self.device, command, timeout, check_exit_code,\n\u001b[1;32m--> 203\u001b[1;33m as_root, self.newline_separator)\n\u001b[0m\u001b[0;32m 204\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 205\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mbackground\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcommand\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstdout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msubprocess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPIPE\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstderr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msubprocess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPIPE\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mas_root\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;32m/data/lisa_fork/lisa/libs/devlib/devlib/utils/android.pyc\u001b[0m in \u001b[0;36madb_shell\u001b[1;34m(device, command, timeout, check_exit_code, as_root, newline_separator)\u001b[0m\n\u001b[0;32m 339\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexit_code\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 340\u001b[0m \u001b[0mmessage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'Got exit code {}\\nfrom: {}\\nSTDOUT: {}\\nSTDERR: {}'\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 341\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mTargetError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexit_code\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfull_command\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moutput\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merror\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 342\u001b[0m \u001b[1;32melif\u001b[0m \u001b[0mAM_START_ERROR\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfindall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0moutput\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 343\u001b[0m \u001b[0mmessage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'Could not start activity; got the following:'\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;31mTargetError\u001b[0m: Got exit code 1\nfrom: adb -s 192.168.1.101:5555 shell \"mkdir /sys/fs/cgroup/devlib_cpu/high_load\"\nSTDOUT: \nSTDERR: mkdir: '/sys/fs/cgroup/devlib_cpu/high_load': File exists\n"
+ ]
+ }
+ ],
+ "source": [
+ "# create cgroup\n",
+ "target.execute(\"mount -t tmpfs cgroup_root /sys/fs/cgroup\")\n",
+ "target.execute(\"mkdir /sys/fs/cgroup/devlib_cpu\")\n",
+ "target.execute(\"mount -t cgroup -ocpu none /sys/fs/cgroup/devlib_cpu\")\n",
+ "target.execute(\"cd /sys/fs/cgroup/devlib_cpu\")\n",
+ "\n",
+ "target.execute(\"mkdir /sys/fs/cgroup/devlib_cpu/high_load\") # create high_load group of tasks\n",
+ "target.execute(\"mkdir /sys/fs/cgroup/devlib_cpu/low_load\") # create low_load group of tasks\n",
+ "\n",
+ "target.execute(\"echo 4096 > /sys/fs/cgroup/devlib_cpu/high_load/cpu.shares\")\n",
+ "target.execute(\"echo 1024 > /sys/fs/cgroup/devlib_cpu/low_load/cpu.shares\")\n",
+ "\n",
+ "logging.info(\"High load:%s \\n\\t\\t Low load: %s\", \n",
+ " target.read_value(\"/sys/fs/cgroup/devlib_cpu/high_load/cpu.shares\"),\n",
+ " target.read_value(\"/sys/fs/cgroup/devlib_cpu/low_load/cpu.shares\")\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Workload Execution Round: high_load CGroup"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:11:28 INFO : #### Setup FTrace\n",
+ "05:11:28 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo 10240 > '\\\\''/sys/kernel/debug/tracing/buffer_size_kb'\\\\''' | su\"\n",
+ "05:11:28 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/kernel/debug/tracing/buffer_size_kb'\"\n",
+ "05:11:28 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd reset' | su\"\n",
+ "05:11:29 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd start -e cpu_frequency -e sched_load_avg_cpu -e sched_load_avg_task -e sched_switch -e cpu_capacity -e sched_blocked_reason -e sched_boost_cpu -e sched_boost_task -e sched_contrib_scale_f -e sched_cpu_hotplug -e sched_energy_diff -e sched_kthread_stop -e sched_kthread_stop_ret -e sched_load_avg_cpu -e sched_load_avg_task -e sched_migrate_task -e sched_move_numa -e sched_pi_setprio -e sched_process_exec -e sched_process_exit -e sched_process_fork -e sched_process_free -e sched_process_wait -e sched_stat_blocked -e sched_stat_iowait -e sched_stat_runtime -e sched_stat_sleep -e sched_stat_wait -e sched_stick_numa -e sched_swap_numa -e sched_switch -e sched_tune_boostgroup_update -e sched_tune_config -e sched_tune_tasks_update -e sched_tune_filter -e sched_wait_task -e sched_wake_idle_without_ipi -e sched_wakeup -e sched_wakeup_new' | su\"\n",
+ "05:11:30 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo TRACE_MARKER_START > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "05:11:30 DEBUG : Trace CPUFreq frequencies\n",
+ "05:11:30 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "05:11:30 INFO : #### Start energy sampling\n",
+ "05:11:30 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "05:11:30 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "05:11:30 DEBUG : SAMPLE: {'BOARDBIG': {'total': 0, 'last': 190.703646, 'delta': 0}, 'BOARDLITTLE': {'total': 0, 'last': 165.428862, 'delta': 0}}\n",
+ "05:11:30 DEBUG : RESET: {'BOARDBIG': {'total': 0, 'last': 190.703646, 'delta': 0}, 'BOARDLITTLE': {'total': 0, 'last': 165.428862, 'delta': 0}}\n",
+ "05:11:30 INFO : #### Start RTApp execution\n",
+ "05:11:30 INFO : WlGen - Workload execution START:\n",
+ "05:11:30 INFO : WlGen - /data/local/tmp/bin/shutils cgroups_run_into high_load /data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\n",
+ "05:11:30 DEBUG : adb -s 192.168.1.101:5555 shell \"/data/local/tmp/bin/shutils cgroups_run_into high_load /data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\"\n",
+ "05:11:40 DEBUG : WlGen - Callback [postrun]...\n",
+ "05:11:40 DEBUG : RTApp - Pulling logfiles to [/data/lisa_fork/lisa/results/eas_cgroup_cpuset]...\n",
+ "05:11:40 DEBUG : adb -s 192.168.1.101:5555 shell ls '/data/local/tmp/devlib-target/*task_r2*.log'\n",
+ "05:11:40 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_r2-3.log' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset'\n",
+ "05:11:41 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_r20-1.log' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset'\n",
+ "05:11:41 DEBUG : adb -s 192.168.1.101:5555 shell ls '/data/local/tmp/devlib-target/*task_r1*.log'\n",
+ "05:11:41 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_r1-2.log' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset'\n",
+ "05:11:41 DEBUG : adb -s 192.168.1.101:5555 shell ls '/data/local/tmp/devlib-target/*task_p1*.log'\n",
+ "05:11:41 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_p1-0.log' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset'\n",
+ "05:11:41 DEBUG : adb -s 192.168.1.101:5555 shell ls '/data/local/tmp/devlib-target/*task_p2*.log'\n",
+ "05:11:41 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_p2-1.log' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset'\n",
+ "05:11:42 DEBUG : RTApp - Pulling JSON to [/data/lisa_fork/lisa/results/eas_cgroup_cpuset]...\n",
+ "05:11:42 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/simple_00.json' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset'\n",
+ "05:11:42 DEBUG : RTApp - Saving output on [/data/lisa_fork/lisa/results/eas_cgroup_cpuset/output.log]...\n",
+ "05:11:42 DEBUG : WlGen - Workload execution COMPLETED\n",
+ "05:11:42 INFO : #### Read energy consumption: /data/lisa_fork/lisa/results/eas_cgroup_cpuset/energy.json\n",
+ "05:11:42 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "05:11:42 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "05:11:42 DEBUG : SAMPLE: {'BOARDBIG': {'total': 2.097995999999995, 'last': 192.801642, 'delta': 2.097995999999995}, 'BOARDLITTLE': {'total': 1.630722999999989, 'last': 167.059585, 'delta': 1.630722999999989}}\n",
+ "05:11:42 DEBUG : HWMon - Energy [ BOARDBIG]: 2.097996\n",
+ "05:11:42 DEBUG : HWMon - Energy [ BOARDLITTLE]: 1.630723\n",
+ "05:11:42 INFO : #### Stop FTrace\n",
+ "05:11:42 DEBUG : Trace CPUFreq frequencies\n",
+ "05:11:42 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "05:11:42 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo TRACE_MARKER_STOP > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "05:11:42 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd stop' | su\"\n",
+ "05:11:42 INFO : #### Save FTrace: /data/lisa_fork/lisa/results/eas_cgroup_cpuset/trace.dat\n",
+ "05:11:42 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd extract -o /data/local/tmp/devlib-target/trace.dat' | su\"\n",
+ "05:11:44 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/trace.dat' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset/trace.dat'\n",
+ "05:11:46 INFO : #### Save platform description: /data/lisa_fork/lisa/results/eas_cgroup_cpuset/platform.json\n",
+ "05:11:46 DEBUG : Platform - Dump platform descriptor in [/data/lisa_fork/lisa/results/eas_cgroup_cpuset/platform.json]\n"
+ ]
+ }
+ ],
+ "source": [
+ "logging.info('#### Setup FTrace')\n",
+ "te.ftrace.start()\n",
+ "\n",
+ "logging.info('#### Start energy sampling')\n",
+ "te.emeter.reset()\n",
+ "\n",
+ "logging.info('#### Start RTApp execution')\n",
+ "rtapp.run(out_dir=te.res_dir, cgroup=\"high_load\")\n",
+ "\n",
+ "logging.info('#### Read energy consumption: %s/energy.json', te.res_dir)\n",
+ "(nrg, nrg_file) = te.emeter.report(out_dir=te.res_dir)\n",
+ "\n",
+ "logging.info('#### Stop FTrace')\n",
+ "te.ftrace.stop()\n",
+ "\n",
+ "trace_file = os.path.join(te.res_dir, 'trace.dat')\n",
+ "logging.info('#### Save FTrace: %s', trace_file)\n",
+ "te.ftrace.get_trace(trace_file)\n",
+ "\n",
+ "logging.info('#### Save platform description: %s/platform.json', te.res_dir)\n",
+ "(plt, plt_file) = te.platform_dump(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Collected results"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:11:55 INFO : Content of the output folder /data/lisa_fork/lisa/results/eas_cgroup_cpuset\n"
+ ]
+ }
+ ],
+ "source": [
+ "# All data are produced in the output folder defined by the TestEnv module\n",
+ "logging.info('Content of the output folder %s', te.res_dir)\n",
+ "#!ls -la {te.res_dir}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:11:55 INFO : Generated RTApp JSON file:\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Inspect the JSON file used to run the application\n",
+ "with open('{}/simple_00.json'.format(te.res_dir), 'r') as fh:\n",
+ " rtapp_json = json.load(fh, )\n",
+ "logging.info('Generated RTApp JSON file:')\n",
+ "#print json.dumps(rtapp_json, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:11:56 INFO : Energy: /data/lisa_fork/lisa/results/eas_cgroup_cpuset/energy.json\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "{\n",
+ " \"LITTLE\": 1.630722999999989, \n",
+ " \"big\": 2.097995999999995\n",
+ "}\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Dump the energy measured for the LITTLE and big clusters\n",
+ "logging.info('Energy: %s', nrg_file)\n",
+ "print json.dumps(nrg, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:12:22 INFO : Platform description: /data/lisa_fork/lisa/results/eas_cgroup_cpuset/platform.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Dump the platform descriptor, which could be useful for further analysis\n",
+ "# of the generated results\n",
+ "logging.info('Platform description: %s', plt_file)\n",
+ "#print json.dumps(plt, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Trace inspection"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ " * Copyright 2015-2016 ARM Limited\n",
+ " *\n",
+ " * Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+ " * you may not use this file except in compliance with the License.\n",
+ " * You may obtain a copy of the License at\n",
+ " *\n",
+ " * http://www.apache.org/licenses/LICENSE-2.0\n",
+ " *\n",
+ " * Unless required by applicable law or agreed to in writing, software\n",
+ " * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ " * See the License for the specific language governing permissions and\n",
+ " * limitations under the License.\n",
+ " */\n",
+ "\n",
+ ".d3-tip {\n",
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+ "<div id=\"fig_512adb2769bc487cb94fefbf98cae583\" class=\"eventplot\">\n",
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+ "\n",
+ " <script>\n",
+ " /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/EventPlot.js\" */\n",
+ " /* TRAPPY_PUBLISH_REMOVE_START */\n",
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+ " paths: {\n",
+ "\n",
+ " \"EventPlot\": '/nbextensions/plotter_scripts/EventPlot/EventPlot',\n",
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+ " \"d3-plotter\": '/nbextensions/plotter_scripts/EventPlot/d3.min'\n",
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+ " waitSeconds: 15,\n",
+ " shim: {\n",
+ " \"d3-plotter\" : {\n",
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+ " \"EventPlot\": {\n",
+ "\n",
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+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Suport for FTrace events parsing and visualization\n",
+ "import trappy\n",
+ "\n",
+ "# NOTE: The interactive trace visualization is available only if you run\n",
+ "# the workload to generate a new trace-file\n",
+ "trappy.plotter.plot_trace(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# New Task Behavior"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {
+ "collapsed": false,
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:12:43 DEBUG : Loading [sched] events from trace in [/data/lisa_fork/lisa/results/eas_cgroup_cpuset]...\n",
+ "05:12:43 DEBUG : Parsing events: ['cpu_frequency', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_switch', 'dequeue_task_fair', 'enqueue_task_fair', 'set_next_entity', 'cpu_capacity', 'sched_blocked_reason', 'sched_boost_cpu', 'sched_boost_task', 'sched_contrib_scale_f', 'sched_cpu_hotplug', 'sched_energy_diff', 'sched_kthread_stop', 'sched_kthread_stop_ret', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_migrate_task', 'sched_move_numa', 'sched_pi_setprio', 'sched_process_exec', 'sched_process_exit', 'sched_process_fork', 'sched_process_free', 'sched_process_wait', 'sched_stat_blocked', 'sched_stat_iowait', 'sched_stat_runtime', 'sched_stat_sleep', 'sched_stat_wait', 'sched_stick_numa', 'sched_swap_numa', 'sched_switch', 'sched_tune_boostgroup_update', 'sched_tune_config', 'sched_tune_tasks_update', 'sched_tune_filter', 'sched_wait_task', 'sched_wake_idle_without_ipi', 'sched_wakeup', 'sched_wakeup_new']\n",
+ "05:12:43 INFO : Parsing FTrace format...\n",
+ "05:12:45 DEBUG : Events found on trace:\n",
+ "05:12:45 DEBUG : - sched_load_avg_task\n",
+ "05:12:45 DEBUG : - sched_wakeup\n",
+ "05:12:45 DEBUG : - cpu_capacity\n",
+ "05:12:45 DEBUG : - sched_wakeup_new\n",
+ "05:12:45 DEBUG : - sched_stat_blocked\n",
+ "05:12:45 DEBUG : - sched_process_exit\n",
+ "05:12:45 DEBUG : - sched_contrib_scale_f\n",
+ "05:12:45 DEBUG : - sched_process_exec\n",
+ "05:12:45 DEBUG : - sched_process_wait\n",
+ "05:12:45 DEBUG : - cpu_frequency\n",
+ "05:12:45 DEBUG : - sched_boost_cpu\n",
+ "05:12:45 DEBUG : - sched_migrate_task\n",
+ "05:12:45 DEBUG : - sched_process_free\n",
+ "05:12:45 DEBUG : - sched_switch\n",
+ "05:12:45 DEBUG : - sched_stat_sleep\n",
+ "05:12:45 DEBUG : - sched_stat_wait\n",
+ "05:12:45 DEBUG : - sched_boost_task\n",
+ "05:12:45 DEBUG : - sched_load_avg_cpu\n",
+ "05:12:45 DEBUG : - sched_stat_runtime\n",
+ "05:12:45 DEBUG : - sched_stat_iowait\n",
+ "05:12:45 DEBUG : - sched_tune_tasks_update\n",
+ "05:12:45 DEBUG : - sched_process_fork\n",
+ "05:12:45 DEBUG : - sched_blocked_reason\n",
+ "05:12:46 WARNING : Cluster Frequency is not coherent! Failure in [cpu_frequency] events at:\n",
+ "05:12:46 WARNING : __comm __cpu __pid cpu frequency\n",
+ "Time \n",
+ "0.171926 shutils 3 2492 0 850000\n",
+ "0.172328 shutils 3 2492 3 575000\n",
+ "0.172451 shutils 3 2492 4 575000\n",
+ "0.172573 shutils 3 2492 5 575000\n",
+ "05:12:46 DEBUG : Lookup dataset for tasks...\n",
+ "05:12:46 INFO : Collected events spans a 12.027 [s] time interval\n",
+ "05:12:46 INFO : Set plots time range to (0.000000, 12.026587)[s]\n",
+ "05:12:46 DEBUG : Registering [<trace.Trace object at 0x7fc852de56d0>] local data frames\n",
+ "05:12:46 DEBUG : functions_stats\n",
+ "05:12:46 DEBUG : trace_event\n",
+ "05:12:46 DEBUG : Analysis - Analysis: /data/lisa_fork/lisa/libs/utils/analysis\n",
+ "05:12:46 DEBUG : Analysis - Syspath: ['/data/lisa_fork/lisa/libs/utils/analysis', '', '/data/lisa_fork/lisa/libs/bart', '/data/lisa_fork/lisa/libs/trappy', '/data/lisa_fork/lisa/libs/devlib', '/data/lisa_fork/lisa/libs/wlgen', '/data/lisa_fork/lisa/libs/utils', '/data/lisa_fork/lisa/ipynb/workshop', '/usr/lib/python2.7', '/usr/lib/python2.7/plat-x86_64-linux-gnu', '/usr/lib/python2.7/lib-tk', '/usr/lib/python2.7/lib-old', '/usr/lib/python2.7/lib-dynload', '/usr/local/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages', '/usr/local/lib/python2.7/dist-packages/IPython/extensions', '/home/zhifei/.ipython']\n",
+ "05:12:46 INFO : Registering trace analysis modules:\n",
+ "05:12:46 DEBUG : Analysis - Filename: tasks_analysis\n",
+ "05:12:46 DEBUG : Registering [<tasks_analysis.TasksAnalysis object at 0x7fc85194be10>] local data frames\n",
+ "05:12:46 DEBUG : rt_tasks\n",
+ "05:12:46 DEBUG : top_big_tasks\n",
+ "05:12:46 DEBUG : top_wakeup_tasks\n",
+ "05:12:46 DEBUG : trace_event\n",
+ "05:12:46 INFO : tasks\n",
+ "05:12:46 DEBUG : Analysis - Filename: idle_analysis\n",
+ "05:12:46 DEBUG : Registering [<idle_analysis.IdleAnalysis object at 0x7fc85194b950>] local data frames\n",
+ "05:12:46 DEBUG : cluster_idle_state_residency\n",
+ "05:12:46 DEBUG : cpu_idle_state_residency\n",
+ "05:12:46 DEBUG : trace_event\n",
+ "05:12:46 INFO : idle\n",
+ "05:12:46 DEBUG : Analysis - Filename: latency_analysis\n",
+ "05:12:46 DEBUG : Registering [<latency_analysis.LatencyAnalysis object at 0x7fc851f595d0>] local data frames\n",
+ "05:12:46 DEBUG : latency_df\n",
+ "05:12:46 DEBUG : latency_preemption_df\n",
+ "05:12:46 DEBUG : latency_wakeup_df\n",
+ "05:12:46 DEBUG : trace_event\n",
+ "05:12:46 INFO : latency\n",
+ "05:12:46 DEBUG : Analysis - Filename: functions_analysis\n",
+ "05:12:46 DEBUG : Registering [<functions_analysis.FunctionsAnalysis object at 0x7fc851f59890>] local data frames\n",
+ "05:12:46 DEBUG : trace_event\n",
+ "05:12:46 INFO : functions\n",
+ "05:12:46 DEBUG : Analysis - Filename: frequency_analysis\n",
+ "05:12:46 DEBUG : Registering [<frequency_analysis.FrequencyAnalysis object at 0x7fc852e10650>] local data frames\n",
+ "05:12:46 DEBUG : cluster_frequency_residency\n",
+ "05:12:46 DEBUG : cpu_frequency_residency\n",
+ "05:12:46 DEBUG : trace_event\n",
+ "05:12:46 INFO : frequency\n",
+ "05:12:46 DEBUG : Analysis - Filename: status_analysis\n",
+ "05:12:46 DEBUG : Registering [<status_analysis.StatusAnalysis object at 0x7fc852e10850>] local data frames\n",
+ "05:12:46 DEBUG : overutilized\n",
+ "05:12:46 DEBUG : trace_event\n",
+ "05:12:46 INFO : status\n",
+ "05:12:46 DEBUG : Analysis - Filename: eas_analysis\n",
+ "05:12:46 DEBUG : Registering [<eas_analysis.EasAnalysis object at 0x7fc851954310>] local data frames\n",
+ "05:12:46 DEBUG : trace_event\n",
+ "05:12:46 INFO : eas\n",
+ "05:12:46 DEBUG : Analysis - Filename: cpus_analysis\n",
+ "05:12:46 DEBUG : Registering [<cpus_analysis.CpusAnalysis object at 0x7fc851954e50>] local data frames\n",
+ "05:12:46 DEBUG : context_switches\n",
+ "05:12:46 DEBUG : trace_event\n",
+ "05:12:46 INFO : cpus\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style>\n",
+ "/*\n",
+ " * Copyright 2015-2016 ARM Limited\n",
+ " *\n",
+ " * Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+ " * you may not use this file except in compliance with the License.\n",
+ " * You may obtain a copy of the License at\n",
+ " *\n",
+ " * http://www.apache.org/licenses/LICENSE-2.0\n",
+ " *\n",
+ " * Unless required by applicable law or agreed to in writing, software\n",
+ " * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ " * See the License for the specific language governing permissions and\n",
+ " * limitations under the License.\n",
+ " */\n",
+ "\n",
+ ".d3-tip {\n",
+ " line-height: 1;\n",
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+ " color: rgba(0, 0, 0, 0.6);\n",
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+ " position: absolute !important;\n",
+ " z-index: 99999;\n",
+ " text-align: center;\n",
+ "}\n",
+ "\n",
+ ".d3-tip.n:after {\n",
+ " margin: -1px 0 0 0;\n",
+ " top: 100%;\n",
+ " left: 0;\n",
+ "}\n",
+ "\n",
+ ".contextRect {\n",
+ " fill: lightgray;\n",
+ " fill-opacity: 0.5;\n",
+ " stroke: black;\n",
+ " stroke-width: 1;\n",
+ " stroke-opacity: 1;\n",
+ " pointer-events: none;\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "\n",
+ ".chart {\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "\n",
+ ".mini text {\n",
+ " font: 9px sans-serif;\n",
+ "}\n",
+ "\n",
+ ".main text {\n",
+ " font: 12px sans-serif;\n",
+ "}\n",
+ "\n",
+ ".axis line, .axis path {\n",
+ " stroke: black;\n",
+ "}\n",
+ "\n",
+ ".miniItem {\n",
+ " stroke-width: 8;\n",
+ "}\n",
+ "\n",
+ ".brush .extent {\n",
+ "\n",
+ " stroke: #000;\n",
+ " fill-opacity: .125;\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "</style>\n",
+ "<div id=\"fig_a06ddf39f8724bf38f8225cae0efd131\" class=\"eventplot\">\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://labratrevenge.com/d3-tip/javascripts/d3.tip.v0.6.3.js\" -->\n",
+ "\n",
+ " <script>\n",
+ " /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/EventPlot.js\" */\n",
+ " /* TRAPPY_PUBLISH_REMOVE_START */\n",
+ " var req = require.config( {\n",
+ "\n",
+ " paths: {\n",
+ "\n",
+ " \"EventPlot\": '/nbextensions/plotter_scripts/EventPlot/EventPlot',\n",
+ " \"d3-tip\": '/nbextensions/plotter_scripts/EventPlot/d3.tip.v0.6.3',\n",
+ " \"d3-plotter\": '/nbextensions/plotter_scripts/EventPlot/d3.min'\n",
+ " },\n",
+ " waitSeconds: 15,\n",
+ " shim: {\n",
+ " \"d3-plotter\" : {\n",
+ " \"exports\" : \"d3\"\n",
+ " },\n",
+ " \"d3-tip\": [\"d3-plotter\"],\n",
+ " \"EventPlot\": {\n",
+ "\n",
+ " \"deps\": [\"d3-tip\", \"d3-plotter\" ],\n",
+ " \"exports\": \"EventPlot\"\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " /* TRAPPY_PUBLISH_REMOVE_STOP */\n",
+ " \n",
+ " req([\"require\", \"EventPlot\"], function() { /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
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[[0.35537399999975605, 0.35539199999948323], [0.35541600000033213, 0.35546900000008463]]}}});\n",
+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "events_to_parse = my_tests_conf['ftrace']['events']\n",
+ "\n",
+ "trace = Trace(plt, te.res_dir, events_to_parse)\n",
+ "\n",
+ "ftrace = trace.ftrace\n",
+ "\n",
+ "trappy.plotter.plot_trace(ftrace, execnames=['task_p1', \"task_p2\",\n",
+ " \"task_r1\", \"task_r2\", \n",
+ " ])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:13:30 DEBUG : Found rt-app logfile for task [task_r2]\n",
+ "05:13:30 DEBUG : Found rt-app logfile for task [task_r20]\n",
+ "05:13:30 DEBUG : Found rt-app logfile for task [task_p2]\n",
+ "05:13:30 DEBUG : Found rt-app logfile for task [task_p1]\n",
+ "05:13:30 DEBUG : Found rt-app logfile for task [task_r1]\n",
+ "05:13:30 DEBUG : Loading dataframe for task [task_r2]...\n",
+ "05:13:30 DEBUG : Loading dataframe for task [task_r20]...\n",
+ "05:13:30 DEBUG : Loading dataframe for task [task_p1]...\n",
+ "05:13:30 DEBUG : Loading dataframe for task [task_r1]...\n",
+ "05:13:30 DEBUG : Loading dataframe for task [task_p2]...\n",
+ "05:13:30 INFO : PerfIndex, Task [task_r2] avg: 0.54, std: 0.18\n",
+ "05:13:31 INFO : PerfIndex, Task [task_r20] avg: -410.97, std: 841.39\n",
+ "05:13:31 INFO : PerfIndex, Task [task_p1] avg: 0.78, std: 0.01\n",
+ "05:13:32 INFO : PerfIndex, Task [task_r1] avg: 0.94, std: 0.01\n",
+ "05:13:33 INFO : PerfIndex, Task [task_p2] avg: 0.95, std: 0.01\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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WWYVddtmFv/7rv15q3U9/+tOsu+66TJgwga233prrr79+8XOvvfYaX//619lw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\nYwsAAAAAbYCrhNYLM7YAAABAydBjW/3clNll7LGlsAUAAAAAlBqFLQA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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc85194b350>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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G/O53vyMiWLBgARHBGmuswetf/3q22GKLFfY96KCD2HjjjVl77bXZbrvtuOqq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\nPzg4qOOPP16f+9znRtpjWytWrNCMGTM0adIkzZs3T8cff7y+8Y1vTLh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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc8519cea50>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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MM/n+97/PNddcM6zljBo1ij/96U+87nWva1JkrWefXEmN7JMrSZLURq699lq2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\nyZIlAHz0ox9l5cqV7LXXXsydO5f3ve99k3tBprHSeytLzm/2ss3sdgB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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc852080690>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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ppSxatKjfdXfaaSd+97vf0dPTw4EHHsj+++/Ps88+C8Bxxx3H+eefz6WXXsri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\nn5vj93S/mfnZiPgWcEhzJoEklVOpJ9Oe3PZVytoGZ3IlzcefAl+gf0r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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc8516bf290>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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JlSRJkmbMhg0bOot94YXdxO5qmbtc16txmadh0ksISZIkSdKiHKasPrAmV5Ik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\n5EqSJEmSeuN/mU7+x085l+IAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc852025d10>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "pa = PerfAnalysis( te.res_dir )\n",
+ "\n",
+ "for task in pa.tasks():\n",
+ " pa.plotPerf(task, \"CGroup high_load\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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9lC/P0tAAgHRCfZvFiw13r7kS1LJlSwwePDiibfr06fjnP/+JUaNGoW7duoV/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50ktm7l6zHBxIbjX75egRE41qxxti1dqrYuF+nN475vjQl6NRpN4ii4T1AeicQniNK9uzRl79dP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\nlyg1ebIuN67tlJUbzx9FFP1OPeXevfVvv35KVVXp8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KB/3Rt6c2iFkt1kW5idcxoabeKc\nSiX8mKBZs1jrvnAhm8NBI9RUtDYmqCn5gD7+2Lkf+O0NrXXPkKHVV69OzT39mCDb5vlvqdocPyD3\nohuJrqeg7hSJwG0qOH26DsBggkxpQqT7H4TBSwaJ0hYpoAFS4hO0bt06+uGHH2jAgAG0adMmKm4k\nyoqLi6MHyIYNG6iTkPaXlJTQBqlNaSomTeKkpB98wNoLaISgcpTo1Ik3frSPRJwmYUR6s5o+XZfh\nGErEzvzwhVGKE4pu3hxllNYfdhhfE2TjW7w4fhsizQQheIGMeoYINPIA69pV/zY0aHM7IqefDuyf\nES3v5JM5GSs+mAEDvHmCTGZ68aKiFBTwe4FZHBHRPvvoX5msE0wJkswScSQ/k3mAiSGQWgWZJBWA\nPbtM8mq6jymXhonBagpTIt9ZQGLBhs+WBJjHeP2SflyYh4suiv1Amcg0UZj6INbACj/fI6LgdvQ7\nC64NucXZY//CsUPPKdM6feIJ5/qXwRF2lHRaBn+R6/Www9iPZdAg3odcvkG+eYLaAlzfb1yfoEQJ\nMMsieu01LsPqwo2dsMcZ9yop+JKRb+HvS5QcE7STmcKU78tB1oFM4Ou+Nt64hVVRovAdq1vLOGYM\n0RFHmNuaBPBBIyabEMs1xUTLNDOazARVV1fTAw88QOPHj6e8vDzP30M7yob/iiuI/vMfXR4xwhnl\njIhVjvFw//1MZGPhZWcTwSzi5pu5bazQo2LcnebO1YXKSh1GEvck0gTg6zpZaVTTcs89zAjgPjU1\nTHyCoC4o4EMKizoU4sAIksCF5qOoiJkgGfYSAFH/v/95P7xx47ztpQkg4PfOu3XTv5WVnAQOtsVE\nrHmS18MMqykhM+U4DGsUSWMdMEl/TYyFqV3QayVBNGKE/oVmkojoj3/0XiMznCcKU78k44dny28F\nWcAl8WRy1jUxN6a+SqYXEMx4p/ff14VUhKfdGUj7LLVI7NBzyu9e553n/AalEEoSJVKglYqQ/pWV\nHMJ+6VI2X3ZLeCWCEKo7W8MhGUe5/0gLCD8NFMqpMvP98EM+YydPZmZHEr+2rUNjoxwkdLkJctzS\nBC3VGjb5Hk0RcomYliBKTsPR6KNHt93GliBlZaxpaG7BVxANJehKvzbuc/VXv9K/q1ZxQKqgKSRa\nopAv1abwSEHjxnffaQZJWgLtADSJCaqvr6f777+fRo0aRQceeCAROaVqkUiEOjQSWSUlJfTzz5xt\n/eeff6YS6VxvgFwOtm3Tz0IiZ9u2g8u1bZveEwutVh4wRFS3776kYI4FZmPdumh4x1UGSb28/yKE\nv2z8CBQRfYroa41jVEQ6Pj4RKaWi/c9otKFtyMjQYSSJyH77bf3HgoLoh2Ija/Rxx9EKaLUaP4qG\nzExaikAFMGn46aeo6Vw98u6Ij+hdsQFXNz6XKiujm3V0zIWFFBk0SJcb393G3r3pRxeDs37aNOq3\n227OuRFtonWzZ1MDYtmLjbEO0qTMTKrHYSD6qNBWSp0aCemoW74gYIxSjniEfmOuojpp19xIcNeI\nj91076ZIkIz3E1KPuVADgyEmsR4kDBuSZWDikun/woULff9WH8cU0qSNiq5xiTgban6jael6sVdE\n7+fqf6Vg4k37gbv9txBAENF3LlMFU/tYz7Ztm5YIc1SllMOJXrkOs3j9a+n/b81o7nPqJ5hDE9Gq\nVatom0tI4J7XeLBFzhY7Xv6WAPevDIWiETlXjh1Ls+Gj2qeP48wE1gvC9pNPPqHPZRAgQGhJbNuO\nnju2bfN36UNgJjwffu1lWez7X19wgS6ceCLZkmEw9Ke2ttZxT3lmwidI7hWLFi+mj4RZ+zwIOIcP\nj1pbVIwbR3TMMfp+RLRCMJt1ki4RcybHt06aahtgi3F8MnEiOutLxAeZb+k7Eq/9hsWLWZr/7ru0\nHETrN9/Qhx9+qMvi3N8gTDAXPP44fYMQ6qNG0be7767L5eVRH2170qRoLhw7HGa6wAeJrifHtRj3\nwIG+87cZ+3zHjhQxnHP1Lq3Iu6ALe/WiORCoCyZdnrOffvopfSa+r6+Qd3HOHBYUT5yog30R0fxJ\nkxzmuXUuOpcoiTmIse/XLVqk16lYH+q993RdXh4pWEj5XG/bNi0X67+qqooaRJ6pyKZNtPSSS/T9\nx44lqq6mhsce0/+fNMlzv60uIWpNKhi0hNOrCjz00ENqiswyq5R67rnn1NSpU5VSSk2dOlU9//zz\nSimlPv30UzVx4kSllFLffPONuummm2Lee+bMmTq7cn09V44Zo1SvXjqDrwnIfj10KGfSbWjQv4cf\nrtQBBziz5XbtqtRppznrJk9W6g9/cNaVlir13HPOuvx8pT7+WJf79dO/oZBSK1fq8jHHcHZoZOgu\nKlJqwADnfQoKlDr6aF2WWYeHDdO/yPibkaHUgw86r+3cWam333bWdeyoM1YTKVVXx9cic3Hnzkp1\n7+685tBDOfsx6k4+Wamzz3bW7bqrUnff7azLzuYsx6hr316pL7/0ZiZeu5b/3q6dLiNDd2Ghzk7s\nvubEE511Rx+t1A03eNvhn6kOa4GIsznjPRAptWkTz01eXmL3NtXJ92hqN3u2t+6LL/TvW28lfm+Z\nFTrRdmPHcvnVV/XvpZdy3S236N+ePc39Gjq06fMl389VV+nfLVu4DmvXfa1cLwCRznAPnHEGt588\nmesnTvT2SymlFi401+Per77K/3/kEaUuuECvqcxM/YtvDtnW2wCSycLdktDs59Rxx+l3ftJJSl18\nsd5bFi9W6qmneA1dcgmvP9M3KsuyTbLljAwu9++v1PXX6/Ill/B5dM01fGZefrlSy5fr8umnK/X1\n17r8t78p9e67uvyvf+ms8kRK3XijUnfdpcuzZil16qn8/LIyZ1969EjNmIj4nHKXZZu//13/jhoV\nf44LCrg8eDCfR8cey+fCxIlKrV6ty9dfrzPeYz+ZN0+XX3xRqb324uc89pgub9/Oe5pSvNcppVSf\nPuaxnnCCuR73l/VffcVjDTJPQebP1CY/n9uccYZeR9iv16/n9fTDD7r89ttKLVqky4cfrtTMmdzm\n8cd1+Y039Bxizk4/nfsi6RHQUalaQ6bywIHx24wZY67PznbWYw3l5ys1YgTXg6Y74gilvv1Wlz/6\nSKkPP9Tlxx5T6pVXdDkSUaq4mOfm/PP5mYccwuX27Zv2XtHmrLP0tw3gb9nZ+rdvX64bOZKvGzNG\nl1et4msffFA5cO21uk1WlqZPiZQ65xz9u88+3G7qVF3XrZvzetyPSKm999a///d/mu7u3Fn//9pr\nlVLJnVVJa4IWL15Mc+bMoYULF9J1111H119/Pc2fP5/Gjh1LCxYsoMsvv5wWLlxIYxul1Pvttx91\n7dqVLr30UnryySfpHGg1mgMmO9WPPtKvUGLrVm8dkbfOlPhs7725DEmINLN46aVoMZonaPhw733g\nd0PEkohu3bitDNMdC7h240aiP/9Zl2XeIcBkDjZ5Mo8Z93n5ZW9gBCJaBqkYJBu1teyDhNDb8QJE\nmPIEmSC1D+jXf/9L9MADuhzUnMDky2NKzmrKgZEM4pklmNYcAJ+sBO5tB+2Dye/AZKYnzUluvVX/\n7rGHuT+xxhIU4v1EfYKkX1grRVvRpLRmtNhzKje3eYMFyO9SSqplImQpYRdaUgeg6SAi+uADs0/Q\njlzniYQ9PvTQxOZYmo+vXs0+QVJrLP1158/nsqQv5D7r5wsiIftVWsqRS937dSzzRekzSxTsnQTR\nsKHsTiRuSiwuk+TGO8eInLngmuIT52cW6XNP477cpUv858Caxn3/2lrzszp35tQkcr7+9z827z/z\nTPbBlUG55swxuyu4n29qk8h7jYdBg/Q+IQNcxTN79Du76+pYY/vii/p35Urtz29Z7OaxYUNUE0RE\nze4nlHTa6oEDB9JLgtCXuBWEkwvNyvgkg5yc5K/t1Ik3vSuuILrySmdYaROeeortRYF77nEGWyDS\n5mpQK+Pj2riRF9f48fpXMkbhsLar7dZN+wRNnszX1tRwRLVOnbRduB9wny5d2NQN5lbff089YR8b\nDusxZ2fr6F0nnqg/mHff1UzQ73+v22EhS/+Qv//dO1fDhnG4bBmBD6HBofbv2FHb1t9zj3YsDWKH\nPHWqt53J1r6qqmlrIhUIcngQBXOoTBamICLNCdP7EWaBCaO55iWNVocWe06513s83xUipwAr2cTO\nkgmSRPXPP7Nw6R//4PvL/GDLl1Nn/P+uu3QwBSIngRQO87mBvpsIZsDP/0mW5bgTIZaloNIN9G3r\nVi5LM8a1a7ksCUZ3YCATLIuZpdtvd6ZdqK7mNgiMIO9fUeGMhoayJHhNcxDLV9QdYS0Z/zcEViLS\nhD3m9s03Oert++9zcJ1772VB8IYNHMDpT3/iHINPPcVRQC1LBw4xwcRcyrIcUySS3FiTYYJwf4QS\ndz9L0jhFRZq57dlT+0Hfeae+3+jROnWKW0B+0UX6G/zpJ80EwETSssw0QrLvNQhMpvBuHzG8o+3b\ntdBg+HDtT4zov0RaGN+zp953Zs7UbQYN0vTzFVdw/0tK+JtQypmOphmQkuhwLQKXXBK1I6UVKzgi\nGHxPtmxhZztwnKYoZk3JC+ETVjOaJ8i0SMERS2Rn80eBxXDIIaxxgp34/vubtVuA9HNCUIW33nI6\nM/rhsMOIjjpKl8G9Z2dTO2iVwJ2bnHsLCoieflqXkTtI5gHq1o0PA3wkcqHjUDrrLE46V1OjfxFA\nIFlAMgfnYCKWSLUm4lmspZTnAjCFco8lhUwhesvwq60c6TxBaQRGECYIeyaR0/dRtsGaU4rLa9aw\nY7aMzLRwoRYmueuldcK//82a4Zdfpi7Q9kth3rPPauk2kZchIuKAOCbI9n5lOW4/QliWkc4C/hXu\n/khI5mHtWh7XypV0COZs5UpNvBPpOTv9dF1++mktkCPSwr7163VZMjWjR/NZHg4zQ2fbPC8Jam0c\nZSSsnTLFOQdB1pMoW37Xon7ZMq7v2JED5tx+O5/JGzbwWAcP5giDJSUcVOnkk4kOPliX169nxkKO\nKRzmtCOyL35z0JSxAuvXO9tLIQMY8ptucl6D9vX1zmsR0OjjjzkwQiTCQaBefpnzSC1cqJlBIk17\nIjjRyJEcpXj+fLZGsiyzAMTn/VluLaOhTVyYLG7cgaqefFL34dBD9d4zb54O2mEKeS2jYvoB2qH+\n/YkWLODxCf/LVKHtMEEPP8zq6d69WcIA06zCQn5xcNRbsIA3b7wsk1nAX/7Cmx0WYLzwmQ895CWq\nod2RmD2b2+HeNTX6mUSxQysvXMgbDRa1NEUDwS9DXZ5yCkuUcI0pn5BJ2lBQwPOATcgUNcbgrOdY\nvOvW8WEApu3ll4MxIchGniyQCFdGKIGWjIiZLdPHazIlDIp41yIi2/PPc12swzFezibT80x1QU0T\nk9l8kpkvSA+lw/YjjyR+nzTSaMvwI2KwZ4RCXO7enb9zqQnq0IHo+ut1+aijiK66SpcHDiS6+GJd\nvugiNq++5hq2CjjoII5M9oc/sFZoyhQv0VRZaSas3eMIUpbwI4ohOIt1Lepzcricm8v0gNy7JBMm\n913J3F1xhVObAE32HXcwYTt+vPNepj4GIU5lG8mMJip08XsnpnnNzub2Uoh68MFE112ny1Kb8fbb\nbLny4Ye8tj74gM3mbryRBa3uNQHBsV9/EzUf9RsrynPnOttIIQMYcndUVLTPy3Nei8AIQ4eyOdxv\nfmM2c5TChyOOYBrohReiQbto/PhoYAQHbJvpLz+mUD4LFkRuhMOadvYLfy9DoscD6M9YWqkgguwr\nrtBjOvJI/X+MD0KYFKJlM0HJSubXr499LSZ0n314E4HGwoTu3XUWaCL+OOKZTSFEJgmfoDPPZFM0\nMDzS3ljmNoKdKHw2PvqIJQzg6Ldv5xDZclOPBdtmxgPaEMmIAUuXsuZMbH7uqFq0++7ea00ZpSVj\nZCJqTbHjodmTkL4pTSHqk1Edmw6woDmBZF+x8ct2MEH73e+4LtahJpL1Vpg2N1NfTXWS2cCzpZ0x\n/L2Sgel5JohNexNMPJEziih+3qIWirRPUBrNhmQJwo8/5n3/gw9YEySjMTZG6TJhMcy8Eglh3769\nv0Q/USYokbHuvXf8a6WAsK6O6YHqaqqDtJ6ILURkkvS+fZkukLAs1gDccgvnIpwyxXkOuP1w/fro\nRlPmzOf+FVJLYDp3Ghr42gULeA1Jf9vOnbWJPJE+S2C5Mnw4m1o+9JBmpt0Ih/V9UYYvml/fE9UK\nCRjHGuSsUsp8/yCaDYmuXVnwfO65+h+RdgmAOeH11xMdd5wuT5lCdMAB/Ey3/5cb4v05otnFWhNl\nZUR77hl8DG6ab8IE/R6efFILCjp10kyfia52p6uB1gfYsEH3Z8wYpkHBOJlSbDQRLZsJShY1Nbyo\n8bJNGoRly1jyg4VcXc0JNcF1xnNQC4qLL9ZMAxET+Js3s4YI2ofqak5ch8VRUMASBkgm8GHIdlu3\nsooZJoENDUS77qrLpaVs3wvGRClmQrBBKOVlQlaupB5g7vC3zz7T4S1l3caNRGefrcsmAv2///V+\nRH5MkLvda68x4Y7wkxKmMM8mrQ6kLG6AiTR9vKbDwbTRxssnhNwIMns75kteG4sJEhtvsXTQBRLN\nvExE9Nxz+ldK+tBv6TQsA21AQmVi/Ez9x/qXENqvzbA1l062YIh2cP6ANNLYYfAz7UoWUsgjv+eh\nQ1kLfvDBrAmSUvzBg7ncGFI82h6QTFBrNvusqeH+u5KDfggNTnEx70e9e2ufKSJNrMEcbcYMPpfD\nYdYEvfuu2QIkVUDfGxqa9B4cgjSTWVh9PZ8pRUW8hmTCcr/gORJSCyDXUDjM+3w47Fx3JiTq5C+Y\nzz54f3gWUWyhKK5taGATNXmtXw4l6W4h/YmQjsSNoO8vnnJAmJLm+SXkbU7E8gF0QynW+gAlJXqt\nDRvGflUffJDSLkq0fCYoGYl9YSEvXMmtQ4qFxTZ4MKvxwRDk5fEHjsW6eTMHLwARt3EjS41Q9+OP\nLDkXEvZRp5yiCw8+6LV1HTKEDyAQ3kOGsPQIi6N9e+/il5mEpT8OTPpgEkhEtNde+reigv1v4KDY\n0MBmYMgOXF+vAxgQsWlcbi61gwRDEt633easy8xknyDp8wR/DyRFcyOI5i8/nw9pEwNiyhMk28FB\nUyZ+BVMi15ppQzIlVTVFLjFda2JK5IeP+ZJSHtPmLoNdNMLIBAVl4qQmC0y2uHfU9lsG4ZBmAWDE\nJeEEmN6PyQ9PBOqI+gRBEEHEEsJWFjEu7ROURmD4EXXJMkfSbEueA37wMzOWUTRHjKCB0jTG5LDe\n2gCndiK9x0EoWlwczRPk0N5IK4dnn2VN0PTpLEAMh6N5gujWW81RYVOFZCJ+AWJc1pgx3r9nZ/N5\nWlDAZb8EvnJtuM8D09k+dixrjvLyzP7REolqzOTZJsaaIc831Cvlb74NgXpmplljJIWCEtBiEDmF\nf5IJev55NisdO5bpkqAWLSYEYYLk3BQXa8YeZq/xEI8mDxJkIh4sS7/jM8/UdCqeKQMtpAgtnwkK\niuOPZ23H5s2sBYGE+oUXWFKBzQLEux/QrmdPdooDwSadA1HXsydHM5NSDkTLufJKDhCAg2PJEm8k\nuIEDvQfM8uVMBIKgjpNULYqMDLZNHT6cmR8wQz16cH/x3Px8ojPO0GVoJ+rqeMxyE4IpFzbH+nrW\nAA0bxu3231//VlY6fbWItKMgmC1olDCXEq+8wqYJQSMkScYImww2Xwl5wJkOFBNjYWoX9FoTpGTN\nhKaYWJmulXMDc0uTPXY8mA4lE3EUtP9S69OaAlakkQYQi1gIairaFCI3Hvr04bI7MbPfN9eavsVY\n828Kbyz9aUFLEPG55S4TOefDVB49unnnsilR9OQaNK1Hv0SUP/zAQrGaGqJevXRZ+taaTNnd2LBB\nC4bxfAiL/SAFiUEsHeTZZhKO4rlEeq0E/SaDQiQF9cW77zJNFYmwkPa3v2UtY14eB09IFdxzc/rp\nOqpwKhArEApgWvt+/j5+TGaK0HaYoKlTmYBs356lXybTpFhwh0EkanLowahPkCnz9rnnMqOAQ05K\nZVDXpw8ThrEIarm4YK/rtlkNkhtp2zY2ycP19fXUYGIg8UGB2SPiXE1S6gGtyYgRzqh9RNpGFtIj\naDagDZPo1483B7+NLRYwTtM7NfkyJYN4zFmswy+JtWb0PQnqq2SCjA4HqY7fgZhioiiaJ8jEpLrR\nXCFBU4S0T1AaLQ7ym5FMUMDQ/Itlnhw/tAZGSTr8oywjU5aVcZ4gKdCUZ3NL2H/8oujJvcct9Tcg\n7l4lo4H93/+xeXRODodRdzOIqUYQpiYAkt6X/SKXSronUfiluli3jrWM1dVEfmH743xrreIMgk8Q\nBOLuPEFy3pthb2k7TBAROy2aNicTQY1oHRIgsCX69fPWmbhdEHBE5ghppgPEJC2It7liI6urY8IW\nv5JYhemddOaEU76EScXYoQOb9mEsxcVUgfw/WIwZGWwjLSODIEypNGHCJvn++9wWz374YaKvv9Zl\nSLcuvdSZV4FIa91w72T8XmJ9RBs2pOYjS2aDNjn+mZgWwyG2t4x0F6sPQQUC0jQGYV+TzUuSLN58\nc8c+L4002hKkf4vMeSMRlIgPsie2BsYnHiRT6IeWwPiYECtaqN95lMieLn1h/CDNsn/9a84lNHOm\njo4WFMXFrPlI9NxJNohGkOcgwp0bVVVOQTPCrtfU8Jq66iq2RDr5ZHZPeOIJp5Yn2e8oAKMbqM3O\nAHyCLrlEC12RJwjC/maICCfRNpkgxCqXgF+BxPvve9vdf7+3zrSJmKJUSHW6SDIXzRO0bZu5D25M\nn+6tW76cc/1IgLA1EbiIsCIZMpO5lWksPpL/3XbbzVnhp1UyRYxDRmRpIodny+gkkG59/73XIa5r\nV/bNCWpiFhSScDDBtKmaAj8kI33BOpD2+7ECLAjGtYuM8JYKmL4VGT2qGRH1CWqpxEY8NGf+pjRa\nNx54wGmy1JSQ+/Eg918/InjuXC3VJ9J+pBAUxhCWDEwkXG5rQAxTm0MSiYDnhp+ZXHPBPQ4/gtdH\nm+LYq0zXyiBEcm82+YIS6RDZM2bo8mGH6fyEQRGJsOYjiEBR9hcm3UScT9EF474so9wlilDISWOZ\naCdYvhBpVwpYWLz+Orsq+MGyONpwVhb7m4dC7PYh4fdeTe8+WeuXtiD0aETrY4JiTT6YoMGDmSEB\n4WoizE0wJYU0MQ6QkAcBpCCVlaz5iaXFALMg0b4929yK5KXRcUJ7UlvL6nuTNiqRzcgNE2HqJ4Fy\nz7VU1css5IApP1O/fhwlBoxFp05N+wARAU0SIH7RWtwwMTcm2+cdTfyaHFVTEUlNvm/pTJrq8cn7\n4buQ3yGY42Q0f2mk0VJw1VXx/TCaCyDCpFUAEdF//qN/+/dn82ckdYyHoPtwMgKNHSW1DpI4PBaa\nchaZrk02EAb8fIGmmI6ZrpWaIFhsEOlQ4AjlvGQJh3iW/rzuHDdyPUjfZwSlsCz/6K3x+ivXtzQV\njIdvv40/9++846yH9kcp8xrNyeFz7K67OMLgE09wDsf//Mdf6CCDXiFZal0dW40oxULTJpgHJozm\nFFDuhGTprY8JIvK+BNgUYvO++24m2iAZqKvjaB1w6luwgNeDmjQAACAASURBVDd+bCL19TqWPRET\nl1VV3kRZRLxIJUGN6FeCiNsuM1fj4IPPw5o1zJggEs+SJUR//au3D26EQiyhkYQwGDS5ISAs9saN\nbCaHa378keiTT3QZIaK3bePocDDL2rbNmyeovp6DDcj3giRXQf1QJLDRfPkla7NAAB90UOyoRCam\nTDIEyKskCRBpLoJ1IyU3gIlRM2mHTGOW/fr1r73PgK25DMdu2mwQNUaEoYyYNmBTqHDTfMnD89RT\n9S8kWUpx+E95YJuYdFMfTO/ClMdK3G8FvmE5dmhQcXC0ErQKe+w0Wj/iSfG3buX98/DDWShn2s/i\nIJBPUCqQIv+PhCD3nFCIfYL8iL7mIAaTDYTRxL4ktFdJs//zz2eGJRRiBunZZ5k5qqzk86NfP86R\n07Mnh2i3bY62a9t8bTPAONYBA+LP/WGHOeshZA6FzGtURkLdSZYNKTmDdqTWZydomlsnE+TG0qWa\n68fHKTNWS0YAtpodO+rfTp3YBECaqoEQhcNbXR1n0AbxWV3NBCnuS8SaHkEAKmkvCv8iubDAzS9Z\nwn1GHdSdtbXM0IGoP/tsDlAgFzsOKklkw4dp61Z+tklt27Mnl9HunXf07/btVIroJZLxA1GPdpmZ\nnCcBjGdDA8d8l5so1LGVlRw6GwxZ585E++2ny9L0De/U9IG7JZ1ERI89xmUkwJOMEZjGrCwm0qVp\nI2DSYJmIfxkaE5AJP99+2/sMmEBK9bZp88H6EpnC58cLvw2YJGPS/A5jwdrNz9fvhcgZ+1+uGzCp\nJm2a6V3IXCMAnkFEIYxZ2ucjbHuiQU7SSKMl4dtvtdDEneC6qZDfuol5KChgR/a33zZbAwQJaRyr\nPlabWLlKUp0gNVEkSpwm40eVCiKymedjJEJ6EyWveevfn4Vvr73GgZCUMqeXWL2ak/Wi3Q6Acaxu\ns3uTMOGJJxJ7UCxGLlVjNa1HsT5GSV+sZN5razVLTwBtgwl6+GFN4EFyU1FhTmAFQg3EoCS0pGYA\nvjcgUjMzOYa69BuBbaYg4qIQUoA8EHF+GDpU/+LQ2msvDkqAMNaZmZzHBcEG/CKLmAA/j7w8ZmAk\nUQ+zM8xNfr7RLCIDBLKU8mMeoAKvr+dwi1JDBaYSz8/NZeazqIiTpaGuTx8vIT13buIbiDQLBPNj\nyjljMh+MBxNjYaoLmuMm3qaDe4us24F9T+L1FcyiDHoByHUvvxWsm6B+SXEkU7tAHS4PqlaKtE9Q\nGg70768JlGee0Qmm/YjZ5vQbOu001gStWME+QbEg9ltfn6BYe7JMCu1GczJBTSTgEvYJCnIuyaTT\n8czh5P5rStKZQmRJCwTQIVJr/9JL3Ld163gNScZARpC77DJnECZYWOy5Z/B8NETO+fALB54gcW8c\nq1s4ZxImnHee+YbuHEPw142X98gN5MYh0maG992X2PWAWB+OnEg70mSuuZFChrltMEGAJJjdjIlp\nQ8zNZVMcubG4nc3q64NPOtqZorDl5HjN2kzZdU19NTnth0JeJkFunEhkKVFd7R2LqQ9DhvC98fHk\n5XGEFDAqOTkszQGh360bx/83Eb0yNj9gChpx2GHe8SXC+JmAa+XGGdQOtSlhp4MiGWYpmX7BPDLW\nvV3mISmB6QCXa+TRR/Xv889zXRtywkyjDSPWOk1kDQfxG4rnvyDPAbk/rF3LmqDevdknCAkbify/\n9fvuY9OniROdPhywArAsomXLnNdJQixI31sTEnmv7v3UFFpZ7oXy7NuR/mOAFAqecgr3rWtXXkOS\nMZBah8mTOQl5djaXYSESFHI+/MKB72zifrfdnP1BsCeYlweFbWvhCJEOlnDttfy3lnYGptoXbiei\nbTJBctPHYaAU50IAgfjVV6wNkZFEEJ9d3sd0b5iBSXM4ENQi7GEdEqTW1HD+HGyI9fW8oaBfw4Y5\nJUayvURGhrdfDQ1scicjz0mtl/ua+npWB6MPEycazZmWu7UJmZnedgcfHHuhY77cDpLuwxL1RHxY\nfvUVb6RNcZSXGyfM82SkFBNjYYogY5Jymgh96YCLdWOSqpoOCZMfjZg7G2YHkvAxmY7JfsEvzDRO\n9HXbNo5iI9+nfG8QIgQM50333uutE060FUiYJ98PpKDNaRbTDEj7BKXhgPxukiH+pbRZ5vIyrTMp\n2AqSvNCP8Rk3jk2RX3yRasHsPP+8Oe+dbfP5gzHW1DjH6+d70cKYI6NPUFPCirtN5GAeLuEXEEJq\nQUyBcJKBWE8NpjNGnuumd+2Ge25aErEbb6zNgZ1lSibWTV28wB/xIuKaYBpXcwZJaWa0DSbItjWB\nBOmxyX+kqIgZFBCI/fszYSuJLrxQGToaDnySEEY7mWcHgQNMuXcyM9lfybRocMD89a+ceweLRik2\n0wPBKbUi6H9mJjN7fgsTPh1yLHgO+nDzzd7r99gjWJ1JQ0VEtPvuzudXVbHJXUMDR0/BR/zkk17/\nn7335qALphDZpo9M1t1/v/6VRDvWxbZtzIjhPUkG18RYmMzATIS+DKWN0KHSVh4RX3Dwyn5L5hD9\nwXqUiLfBSEYfJpgSMMGEJrS+Xmc8J3Kal0pzORBYprw+JqbRdACZtD6SAIB2KGBCxzTSaPFIhshP\nJLKc3AuWL2fCefVqzldi2qOJtKkt8sFJfPopLbvgAl3++ms2ybVt/tbdmiDk+AgiEJBtZM6Z5owO\n58fgBCHWmppnyVQv6RA5bhktM1WaD7GGZseLGiv9XIPkU5LAetuZSGSsfkgikIgRqWQE4qyh9+Jp\n3pJhgtoY2gYTBFvK227zt7WurOSNBJvLsmW8CLBw2rXjhKkg1nNytGaEiAnhrCx2/MO1UjMjFmIW\ncqwUFHgXXWEh0fDhzmsGDSI64wxdxiLPzeUQ2eiDH7NhqsPY27fnjxD3kf44MiSm+z6XXUZ9ZMQT\nIqIjjjCb5JmIWUAGipARv9AvHKj19RwsQWqCsCGb3rPcFNBXWderl/6VGhxogtq3574huITJVFBq\njEx+RCbTPmnm5mZcicwHBUwK5fOwJv/0p2hV1PckHrEgtXiGdUovvaR/ET2xY0dnqFM3srJYmmki\nymLlOZLPEXWleGeyHQQLQQMjtBAJZNonKA1fHH986sJAmzQocl/q04e//Z49WdiEAA1Eej+RCcXx\nDT3zjEPjPjAeQWvb2jwIZQhREtXy+EWHa4q2yHStKc9KI5qUJygVMO3XRM1i/mX5zas8dwEk+owF\nSeg/+miLSrhr3JeDpDzxY4JMkXuDQiZLDYc5WnEsJDBPcd+rnyDkF4S2wQQFwVFHsZoeuV02beJI\nZNK0Kghj0a2bl6EpKoq9qEaN8v59wACz34uJQ3cnNf3nP4nuuEOXsaglIwZIM4otW7wmZj17eq95\n+WUzcxOk7ttvvYR+KMSHL7RkGRmchLOoiKhvX10GgyIdGGV0GdzblAwt3nuEJNNPMuneYKSJWVM2\nDrkBmTYxhEQH0UDEmi6T5AjjkPeWjJ1po5d1ONRizVc8v6M+fWJvyPGIFDxPtoNWKJ0TKI22jKlT\nUxcGGntZ585clt/y0qVcNkW9JNKCFhBgf/oT0d/+psuXXpoaAjbZ0M+x7iMh96cJE/g3nhmejI4p\ntR1Sgi6FL7AkINI+Gxj3uec6+7OjBTE//hiMqQ4ScAJzk5fH8/fJJ9xeWjC4o6oBt97Kc7CzTKAS\nCa4RJKeQX8LwdevM9TLXkXCPcGDJEl474bBTEJFq2DZHDJa0TDisNa+LFjXfs1sw2h4TJDc9+fFJ\nQh8f+f77e0Mw77mnlwHJzCT6y1+c99++3Us0dujgrcvMpNmzZ+uyiQnq29dLDC5YwCZTIAYzM5lQ\nRrt+/dhEDmMyaZukJuHoo7mMaw4+2HvNnDnejfytt2iFDG9NpKO1uce0erX5EEA7k5mUZPzQr+xs\nTpQpTd/23Vf/mjYukymkqQ8mjB7t7bcMLoF+JRNFTh7A8ezF3TAlZIW2kohsbPDSdM9ELMg6SHRN\n84X3I5luU/9OPjk20xiP2DGEOq/A2pb9aiGanYQQCqV9gtLwB3LbAZJo9RMexIsaJ4VGElLbIf1Q\npJZXSvrluQkhYSN2WJ4gP/jNjWQisW8ddVRiDJcUIq1axT5BkjiUZZkvTfpoudGUcONBkZ3tz1T7\nMQCi3rFXoV5q98eM4XqZLFUyQXJtfPwxJyZ/+mkuE5nHXVxM9K9/cRm0TqII4DdaIU3TgVhMJO75\nySfmqHT19c7nIpXJd9+x9c5XX7Hp/803s6XPhx/6M0jxEA7zO/Jh+IxjlW2ysnS5rIxprSBojWey\nD9o2EyRf1IwZXgJ46VJv3d57e+ssi4lObBZVVd52Gzd662SuntdeMzMMbuK/qIjzwIAYHDKE7bTR\nbtMms/TeXSfNs0yZmN9+OxjD8PnnFHLXLVni/SDWr+cMx3LTwLU4bBoaeJy9enmfV1vLdZK4hrZg\n1129fY7Vf6LYH++0ad6/m5KONlWyFYtBNOVTMEVyg6Q22X6ZNI3oAySfpkAVEtOnx2aC4sHwfnpA\nAiudf/3eWQt0skwjjShirc8rrnAS6JLpN2WlJ3IKX0zmp35aHgl5b5m6IYhvgDuBtPwupc9gIntA\nosCc5ebGZ3CkH40f5DuS+5Ecm9+8pioQQCoCQrgFcwEYH1kulVYVqC8o4LLMH7hyJVugPPggm5jf\nfz+nIcnNJfrd73T53HO5nJPDwrq77mJf0iuu0FYxRJqBO+ecwH0P1MaPMUB9ba3zGzQxkbvv7vzu\nTD7JRJzKJDeXhdR5eczk3Xkn0zA5Oeax3nUXR27My9OMJJFmvMBwh8NO33PDfuMZK9YJxpTMmm1j\n527bY4Jiwb3Rb9rEUU+w+bz1lpc4W7TIvFjc9zMxIDU1NGrUKO/fsQg//pgTYGJT37LFe++vv/bW\nffed17Rt40Y2lTKZOvktYLc26vPP+WMT99lFboZEWjWOBKRSeoLIZ4jsVVLilfxnZnKY1ZEjzUzL\nvHneutNO07/ff28eCxCLCZJENjbueKYfuEYmC5VJV5sC9NW0sZpMDgQBY2Gjkxt0vH6Z1oF7vpTS\nwUOIeI3Key9d6p0vuUbjhcM2vJ/c//5XF6SWD89wm8jBvLKFms6lfYLSCISMDH/iTRK3fhporDOl\n/J37IYx6+GEmYGtqWJCklBYAEulwyMibsmULC6o6d6aB8G3s1Yv9ZDMyWCiTlcV+nFlZ2mSbyF/K\nnqwvVF2d81qT6e777/szlGizciWXlWICva6ODkGusqoqZgKqqjjAz5Yt7M9bWcnJzjMyOJVEbi5b\nkcjnS8yfz76n0kfWb25kPd5rTY1z3cg9EQnViZzzJNo4mCDM2datXPYz12xo4JyA2dnMMG7dyrne\nLIuZoOJiJvrvvpstXiTCYU7CnWgeKSl09THnDrQvm+Z46VL/OZZlRAOurub7VFWx9cW4cdoKiUjP\nE0KLH388n3U33sg5vKqriS68kMvSzBAC5dtuM56TjrHaduxE860BzaCBantM0CWXOAlcbDwrVnA4\nbBBxhYUcEACLYvNmtgeWzpNYPLj31q0cYQwb2ObNOrw1EW+UdXUcEnn2bM5fBMaByPtis7KCm3KZ\nGAtAqrWxIcmPFWNZuZKd/qA1ysvjfuE+ixdz+PB27fRvTY23XdeurAYGUS/n0ITp081aHwD+QkTm\nDwFO9vLdw0FX1t18s/5FqHIJEODyGiSrJTJrZEzRV0yHnZSUnnmm/pWMCkzQ5NjRB5nzCnMsc0yY\nfKMeeSR2H2DWKPuKg9uUaFgCYzblnFKK7wliS0Im4MWBKechlqkg1lJWll4PJpO+HYk2ZBKQRhPQ\n1HXgRxzHgiTSZCQ1v1D20OpmZBA99BDXS5NXOLyfcgqnV+jQgWjWLF2ureVrV63i4CxKsfS7ro7o\noou4/Nvf8v3l2YS++UVDk2U5P7KMa7OyeNyZmbwfNDQ4zdQQLjgjg69t394Z2AgCrowMTlORk8Pn\nRUYG0UEHcRkJQjMz+f6jRvH5rxRHC5VMrGWxj0lZGZ9f8v3JfU0S33LObriByzKhqoScG5Rzcvzn\nHuupXTumK9avd7bBOpBC0epqfvf5+dryhUjTPX//O/cF5bo6Dv4zaRL7rk2axIz0pEm8btzrA2tI\n0jRSECjnUo5VMkpyzvzugzkuKPAXuMn7Sz9n1BcVsdDumWfYlLJDB06RsnEj0e236/K++3IE2Lw8\nTmSel8eMulJEp5/O5SOOiD3Wjz7iOZF+X79wtD0m6OGHnVJkbDx9+nA4X6git2zRNplEHMqzqooX\nCqTfGzYQ3XKLLq9dq38zMtiRFNLvDh04ZLKIohbBZtqvHy86ENft2jGRi4R1tbVsr40PfeNGJipR\nV1nJTqAy9DAyMsugBBgTwpq6/47r4T9UWMj+MGi35560CuGpERGlb1/e+GL5cdTWam0PkTnPwapV\n7GAoQ3AOHqx/ofWRY5GbIjYt6aQIaRI2pYwMtnGXRAFM3uS6QTkjgxkT3Dsry5xpHcyDDFoAExJs\n5KEQ0bPP6rJkoHAIYi4lpDkjNkmBekiSsrJ4PYChLCjgzNOSCME9YbZIxGsAkiwilm727evMdUSk\n5xA28pJxwiYt5wEOyNIRGe9PMGx1kDpLPzasw1Rp3YhSZ6fv1qjJ/E2tVdqWRvMDaR2IvFJ8E+T3\nQOQkdKTPjxSiSKETyhddxGdYbi7vaaEQn2dSUFFX5/gmvgEh54Y7B44bkYhmDlCG1sndBv2X4zNp\nw6CBkWMDMJc5Oc7E3JJpAjZtcjqJY+9raKA6+E/V1JjDiivlHCsEdbZNdNNN3vFJ2La2jkAZmjcJ\nKdyCnwmR2V9FjlUyeX6aQdecVUgzbJzjQfJLtWtHdN11unzDDURXXqnLco6feorPvHCYtYMSkQjf\nJxIhOvtsc79lH/GuEhSC2dOn830xZ3368JxlZzvnEnM8apQzijDKbjNRvKuqKhYGSwsJP2uc+fOZ\n7ti0ic/o6mq+ZyRCdPHF5usN3509fTrTotXV5hQVTUEbEAS2PSbIDytXclQTbCKZmUxgIXlkaSmr\nJyGZ2G03VimD+M/J8W6+dXVezUxODi2AtGGXXbzX7LorayywwRcUEB13nC5jkZWUsEQCdfn5LCEA\nUV9S4jWby8lhPw95oOAj7tyZ8+Kg3/37B1vgJhPAjh3NZmcAtFLZ2RyxT94Dfyfy9qFrV2/kuexs\nlppg42jXjiVOYDJNiV39tG5Ap04s1cMGJSP6oa6oiNX8MBnJz2fJkczjhP7j2sxMNnmTobTx965d\nWeKGd1tSEiUq5kCSJINsAJKIkX2Ao6oM+f72287nynd7zDHeMffqxcQB5ri4mINvYCxFRUSXXea8\ntl07nhuhAfwC0ZfwHiXjivs1NCTmxJlGGi0NSOtApNe4lDCbzKBMofoBE7Pj55cj84NJs15JyEmi\n0p0SwYSMDBbOZGRwXi+i5iOSZLhiSVRmZPCZU1PDZdmPjh2d95KBeCAwy82lD19+WZezsliK378/\n5/AbMIAFOMcey+aB7ucli0RCZMugOPLZsNggcq4rl0Ar6juSmcnrUu6xJ5/sfC4YaVNOPCInk3ve\neWwOFw47tYPxEIkwLeT200Ei73gChCA+an4JaKXPDUzD3QB9AEAr2qcP+wTJgCQyxx9M8Yn0+ECz\nRCJOayGJVH5TOztPUAtgotouEzRihHOzu+AClhxIKb+baNy61VtnCoJQWOhdQLm53nYNDXQIEmGO\nHev9+z77eO9TX28OEuBuJ5kuoEcPb112duzF3ru395rBg711ffpQLzBLQNeu5pDcboI5I4PNKkDM\n5uVxYr0+fVgbIhkBMK5ZWfoea9ey+hiagYaG2Awp0K6dt076KhHpKDhys5MBG8JhvY6+/poj4ciI\nce57t2/vrSsq8hIWSsUOT11dHTMARtTud+hQbzvT+zE9T74zQDKNDz/s/fv27d6kwDU13nYm5t80\nNw0NtD8OVxxsDQ1MVMk6k+TUhB21yRqek/YJSiMQCgrih8v2i/zmBxlqV36jkgmSBLL8nr7+miXx\n33zDPkGhEO0BE7iiIuf+e+ut3j5kZLAzuB/cEe9iCaTknigjubnPNpw5+flcBsGM+5iCEci+dO7M\neYLkPCGhNBHRqadyWYbRtizWAFiWkymUiKc984Op73JuJEMkiW9pugaf3ehtGu8jNfU4j4mc4cPl\ns0DbEHGidSJt1SKTajcHgs6Zy+QrOlb5XqWpOzR0RM7gSwjcQMQJ1onYv8cNMG9ETsZP+tLC+qeZ\nEPcMSpYJauq52gKYH6DtMUEwMzj8cL1RgnA66STvBltQwFoYtKuv501EhhE0aXBkXUaG3lhMPhI4\nOCIRp//M73+vE1TCJAEEdZcuTgkBkWbg3H3o1IlNx8JhbaL15Zd8II0frz/07t1jHy5HHskfQzis\nCf/HHuMkleiXKQR4YSHPISBN1gATo1Jb62xnIp7XrtUajro6HUShQwd2xIQJY1GRVxrTsaOZqEeC\nW8siOvBAzWRBUzd+vCYSvv2W3/3AgU4m6NFHdUJePA+bTE4O29dL3yg5rwMG6DUJ4gHSN2nTDsiN\n26SVGziQD6NwWBMt//gHH1bjx+uoPCtWMNOI91hY6DwcifRcuucrI4Ponnt4nNj4Mb66OiIQCqjr\n1InXbjis+75okbYLl32AXb1EQYE34XFenpYyy7qWGp2mpfYrjZYN6UBNZDZ3Usop8ZaEpVx32I9e\nesnp4I5rL7qILR22buXw+7NmET3wAN9HEr3ymaY1HgqxJqh9ez4/+/RxEpoyiA/OFvjQusumkOFy\nT3SbEKJNba1ZM1Ba6sxzA7N1Ii5XVjLDt2oV72OVlfqsINLMDfwwbruNzZfHjyd64QVdtm1n6gpp\nFgzk5bH1SV4e0RtveNv4wZTvSJowFxbyWJct4/L69Vz+6CPzPLmYIyP8tCZ+eWaOO47o6qv5WlgF\nhMMcHS4WkiWYMb5t28xjlYyxhGRw/IJTwJfcBJiuPfggW0Xce6/Thw6wbQ4HHg4Tvfii+Z6mOQiH\nncnkYTERK3KeOzpcLLrQD23snGt7TBDMDCxL533BC7NtJ5EKm84999Raj4oKTThv2KA/1NGjeWMd\nNoyl9+GwJoDnzuUPePx4vTF+8AF/7GBAevQg+1e/0hFBiDjKB5FegIMHs30zNrT8fC8jtvvuTiL0\niCO0czz8PSoqtJPmuHG6H+PG6XFcc42WPMBPqHt3lvYUF2vG4M472Ufpscc0UX7ggWzjLKQJ37k/\nxu+/Z58ay9JSlPnz+WPGmNxmc716aZtj1B17rDP4RJ8+2oSxtFT/XnKJvn9xsR4/5rOkRL9HhJAs\nK9MmduvWsfNmWZlmSDZu1O9k9GiicJjmn366LuOgxuYOB8PDDtPjAMExfrz+N20amxNYln5fmzbp\nNYK11K2b3qCeeYbfz2mn6X7bNr+fAQP0gQ6GqKxMm2hWVel7DxqknSjz8/V7GT9eaxzffz9qzrLm\no480szV4MAfhKC3Vfx88mE0Ow2HNMG7ezAEiysr0uq+o4MOprEyPpaZGj71xvmjJEiczMmGC3tjx\nLn71K8104Z1XVGgJ8+DB7A8WDusD5LXXOKJUWZk+kLZu1WYZ06bpcZ5/viYQw2Htx1dWptelUvrg\n8PNPaCFI+wSlEQjdujm1P/AhJXJG9pImczC5IdLfJJEObIA1t/feXC4rcwp1IBTp1Yud4Hv2dAZT\ngfld794cwbO+nr6Gb6xSvL8qxYK3SISTP1ZUaAEbkX6+KZpnkPDQ6GNVlZMolYFXpOkYxtqrF5fh\nH0qkzz+Tn9F55/FYL7+c5kCDM3w4X3/TTWyyVF7Okd9efJH9eLOyOJ2FZbHJuiROq6uJzjpLl2+4\ngYVq8Uy73G1Q3ryZyzKYj2SOZDCdvfaKnyfoxRf5nTz9NNeb8tYROQMd3H47+17n53OS2YoKpkXC\nYV4fEuEwR4UNh515iWSb9et12S9wBpCb6z9WE+Rczp7NZfjHEjkZymefdb4TfJtXXsnBlnr2ZAuX\n+noOQiKjAVqWDkriRjjM69Ky2HdPwrZZsOgeqxS8u+cHOY7SyVLbICyLGSIQadiYiLQT3rhx+u9j\nx2onxA0bmMgrLdUL67TT9KLDB11RoVXAkrgsLdXlceP0ogaBe+WVRCtX6vCTFRW6Pw89xM+YMkU/\n+7XXuI/XX6+Ju1CICerTTiOaOZNNCyoqNGMGgrq8XN8L/UafwmFNyI8ezSYRF1yg+4WDt65OX19V\npZmeNWv0vfLz2dkdWoCXX6YSHAZlZXpz+f573VcQyv/8py5jUx87lv1gkOQ0J0czKd99x2roRx91\nBgAIhTSjUVGh+4wNBP5CGN/PP+v+v/uu/p0/XzN95eVaMoK6tWt53hvXRqSsTJel9iEc1nOLjae8\nXGuGMMdTpmhi5JVXdB2Ya1yPtbRmja6bNy/2+/nmG2//587lez/0kJ7P00/X76q0VB+a48bpoB7l\n5bT4hht4Ld17r3d9PfEE32/zZi7jeVj3sg8rVnjmK7r2wmG9Tu+7T5extmfOdN4H8zV2rJag4rlf\nfqnLs2fz89atIyov10zQpEn6usce4z489ZRu98knej7OOYf9kdJIoy1h9Ghz2S8BJsrSx8cPMsfL\nqlVsIrV6tTMvGO4lHdSJgknl/aTWMC2ybS77hRk2mQd26uSsl34tMucRhFZr1/Lc7LGHMwKsieHy\nCyIQRPJdXc1MUF0dC+Vsm3MMuhkcSZzCBNuk3XKXpUYc5aoqpzYeZQgNifT5i7I0dSMRIhuBoog0\n7YA5k8zK1Km8ho49li1Btm1jrcaAAZwQ1PUsI8JhJ0NggtQETprEzF5dHZuwSeYWY3X500XH+sMP\n3GbGDDOzM3gw17/2mpM5AgYMcGrnoE1E+hUiHREWjHpODjN25eXsSzx+vGbEificxzhwT9tmU1cI\nFGOgdMoUDpxi0gRlZ+tyoslSdzZSaE7XdpkgIt44YjFhFQAAIABJREFUQHDClAnELghS04Y4frxu\n849/+BN24bD5fnjenXcSlZfrhQhiMl4f777bS1Cb+iCfZ7qf/AUzKPsaKzQi2r/+OhOuy5cTlZdT\n8RdfMOFaXe0llPGvcexRRqtvXy116NtXH7Y1Nfrvmzbx3/D3igr9D1Is6SOEclP8LRqvtSRxb/h7\nvOsT/pv8e9D+o4933GFeayTsfpMZS9A+APgu5Dr1W9tJ9CHpd9ICkfYJSiMQ4AdHpIVPJnMnP78K\n6f+RlcXEzVdf8Tczfz6XYQ5MpDUiCP382mucXDQnh7UvluUgOPaCBJsoMZ8Wy2ITO8tirZCb2YnF\ncPz8s3MeZFQ8k1m1jG4GoSaRFuihLMcDJoaI6Pnn2SdIMgCowzgSgZupQZQyP0hm0aS9kMS9TOgq\ny9K/RUKafJFgDI49lteQ9JPp0YPrL72Uo+WWlLBpY/v2bBXSty8HAJg3jy1k/EJMh8McPTAc5oBV\n4TC/Ixm2OhIJLgRzRUSLjrVvXzMTKccqNY8//sj1e+7J5WHDnO8HWhsZxU36TvmhokILLFH2C3me\nAEqnTGHLH5MmKI1fCBPkt1mZ/h6USI1FqMUj4oI+LxmCOladhIzAhr+b6oIiiFlDopD9CfK8VNf5\n/X1n9cH07B3Rh6B9ae57AzKcaxpptHZIDY50TJdw+/AB0tdFmrMceigTZmef7YyABgJWEpWSuJeO\n3qnay22bzagkce9GPGbKFAnPj3GS2iEZWEIGikA0OHcZ/jpETp8eqZmLNTemcbiZ2zFj/K+PdR/A\nL2KgjPQnzeHcQY1M2kQ5bqllQD4kN0yJvIk0AwR/0oMPZn+Y5srpFmue3CGsE4Gf/5OEn3mgDDYC\nc3Cipn9fTUnv4G4j1xDM4RPpA7RbLSjQQaJo20wQkAxxaapLkrDz2KA2JyFpgqmd1K6gXtb59Mu2\n7eT6BYYmHvMly6b+mJAkke14L4kwyqZrEmWK47VLYI6bfX35IRWCgGS+FRykUoLeApH2CUojZcjP\n9/82QcAec4xZiu8HPyJamvqEw+zXGA7TelOkM2nKFA6z/4z054DZLJGWrqPez/E8kX1IRoGVmjHJ\nMCHKKJEz+XSMPUTBjKtLFzYbzM9n07VQiCX8oRALZ4qLOWCCZXGCcfc4ZKAImKEVF7O2y7Kcfjxu\n1Nby/CnF1h0//2z2D/JjpImoAu9GaogkE4Rw4UTOnHDbt3OY7K5d2ScIyb9jobiYTb7y8jiinvQJ\nShaSMd661TH3ETAta9bw/NXV8fxJjc+sWdymuprbLFoUzH/L1J933nG++3iQPkHhsDMBsAmWFWX0\nI2Vl7DtlgjSBlZrVWJBjkXkZWyl+GUyQRDKcd1DCLtXPC9qHptw3kWsSJZRNTFc85iso4/NLRKqk\nsqnCzu6PKZRwGmm0Bowc6TRJhpnKmjVm4iovjzUJ7drxtycjWUpNhowuOncuE3K1tRwIpqqKNTKI\neEako1v5hXUGLIsd3P1w990cvGTSJE4+joBEKAOSIYI5HpGTKcswkCzS7K1dOydhi7JkJiRj4L6n\nZKLiQSmOLKcUmxpGIhxkwrbZz8MtdJsxw3vPSIRov/24PbQ3pjM3M9OZFBWavZ49nf5BJvTuzW1K\nSzlPEIIC4Z6A9G/5xz94zmtqOPDDHntwslQiJvSPOsrch0iETb6qqzmiXjjs1JY0NbF1QYHj25kP\nk7zhw50JdDF/BxzAc3P22dwmL4/b/Pa38QNFBIVpHMXFrJmZNIk1bvBZjgXbjobznj9pkn8UPCIW\nFMCkMRGEQpw3sxXjl8cE7QRYO5tYTCHSY2l5aCvjIEpwLMmE99yBaEvvJY0kEMu/5cQTncQMzGXc\n14DQ+v57p/8CsN9+XC/NfmQktscfZ0KusJCvLyridgjvTKQd2WECJgMLhcPUBfW2zakKwmE2E5P+\nHNXVrB2JRJwmQSaYgiG4E1yj7OersXmz0+QKBOq2bcw8VFX5+1gJ08QQovTdfjv7Tm3b5nSc90M8\nAt22meGw7WCEbX4+l4kSY9iIzFHWiIhKShLbq449ljVoRUVMQPuFd4ZWbEcixvxHx+r3fQYJhBGk\nzZNPmuv9kqASORObo10kwiasCSLQew2FmJkPheKPbfly7XNIxEzhSSf5+3uZ8NJLwds2M9JMUBpp\npNF6MGmSJmaefpqjCVpWYhtwGmnsbFxxhTkAggxuICF9Wrp25TbSFAyEOhHRxx9z2Y843bqV/TYG\nD+aoU5Mns3SfKJgkPtmocfHgZ7K3ZQvPgWSe3IwBiMDcXKd2SfpexROmyFw2sSwVEtVYmOYvL49N\nwfLynH5NbshoqpIBluZqkhlG4AsinXYBkFoXhE8n0o79YDa3bmXN5UMPcXQ4GY0N4cKJnPuxH8Pp\nBuaguJjTJxQX66AdTQFSoxA550ZCakukkEGanskk6tJ0TAbUkJCaPqlZleMpLmZmOC+PQ2SHw0T/\n+Y/5vqmAnxlqEPTpo0PwE/H3+corifl7Se3uTkaaCdoBaEu+AemxtDy0lXEQBRgLiEcpubZt5wbc\nQpw029J7SaOZAWK9ttbs75OfbzZxkgSeHyTBITUOHTpwBK9evTj/SGmpOcEnEX3tp02Ih+JiljYX\nFwfPSeJmgjAHkvjOyXFqw1AuKeFyQ4PTdMxkSiuJ9ZwcmjNnjreNmyA37TWW5UwyjYhf7rDbSLsR\nDmuzRiLtIwPfnepqToYeD9IkUDJHfj5PS5dyecEC3qtkktz27XmeCgpY6j9wIGsmENGNSEeTBf79\nb56ba67x77dp/iIRTmdyxRWJ5VAyQUbL69SJxyqZQhm9TZpLLl7MZYQ6J9IpJACZeNcPyBfkRiTC\nzFJ1NWtIwmGtcYuHOGed7xkk179b8+P+v/sZUhOEZPCJaILeeqtF+fOm4+WlkUYaaaSRxs5Cbq5m\n5JEbDWUiZoikOZck3r75huuXLGEJrwyRLZ2XpURahhhetYo1QbNnc7S4du2YOSgupj0gJbcs9vGx\nLNY4FBc7NbQImRyJaJO52bO1idonn2iJu4y+ZSJyJQEbCjm1ZyC6amp43Fu28LiltFtG4FPK7GMj\no8Z17077wGn/gw+ITjhBl1eudDq1w2SutNQ57s8+0+/jvfdY05SZyUTj6NGaEVy3Tvtg4Z53381j\nzsszl02QhOvGjVxG0m0iTXiiLINDSEI/CKQW5Nln47d/9lnWTFpWYgRwOKzzyi1erMsyeTBgWdwn\n03qSmj7pGyYj4QVBEBM4Is7p89FHREcfrcuLFvEamjOH24wZw0E3gsCymIG1LDZxtCyiL77gsjTZ\njCcUdP9d/h9jRnQ/Ih1avKREv1P4Sb3yivYzk75jbtTWcuJ7YMEC/R0H1SI1g4AzrQnaAWhLvgHp\nsbQ8tJVxELWBsYiDstWPJY2dDxD9xcXmnEGyfsAAlvBKzcDq1Uz8Xngh0W9+o8sffcSBERAdjEgn\nv4QWpKpKS/WJiCIRyoSZkh8iEU6watusKbAsNkerqGCmBA75ROaQzQ0NzuSgGGtuLo9Vaix69OA2\n7twspu8xM5PHXlnJZmXLl1MxmM3MTJZ8f/89B3X4+GPW4Iwfr5OLYtwICDFypCYaiZzaKySpRv+h\n8aqu5sAI1dWefD7ReXCX5fvbvp3HKsOgS1PBTZscDJElE4WCeVy4kNsUFfF7WL2azeFuuIHouON0\n+b33OCDH7Nkc6CA/XyfWdsOynHn/nnuOy4mYgtk2m7nJ9YR8QPX1PI7Nm8378rffcpvVq3kOfviB\n6x9/nMuLFnGbL7/k+lCII7lJLZ5kTIuL2Vcuni8Ykb43ktASBfM3azTdc4zVsvi7k/XulBPwPSPS\n4//gA6Jrr+W6OXNY6JFI+PHsbKJddnHW7bNP84VND4g0E5RGGmmkkUYaOxK2zUTl9u1crq11SrNR\n3rqV21RWcv333zNBI814OndmZmDIEC4/+ij7fQwfzsTMiBFsDrfLLvH9WGybo1fZNtHvfhd/vIMH\n63JFBftXgFAlciZylPUoNzTwuKFRIfIkw4zizTed94TZUkYGz0enTsxA9OjB2pZhw9jkaehQZmoO\nOYRN+aqqOOFpOEx06qk81uuu4/KECbpcWsoEZnEx9zsSITr8cG6zYAG3QR9uuIEZJZMvUceOTpNK\noF07HmtJCZfz83nc9fVc7tCBGcpBg7i9n2P+sccykzxyJGv+evRgjU8kQnTWWXzPm2/muYFWQK4h\n2yb6v//TZctic04ZTTEvj9+JZbFmSzLSGFN2No9DagElI4jnEmnNDOagb1+uP/98Lu+5J7eRa0gp\non79dHn7djaDGzGC6F//0uV99uFxh8NE55zD47j1Vi5D+2Lb3Ma2dVAVlKFRsm0OSFJaykx7Xp7T\nV9A91sJCZ+4rIo4eifHLfEdE+huA8KRzZ++9WxnSTNAOQFvyDUiPpeWhrYyDKD2WNH4hsCwm2DIy\nuDxoEBNUBQVc7tbNaQoGZkASttBEEPlLmCdPZin+ihXsuyIBAhQQRLfDJ8gvMEIiJitSgyE1JSaE\nQtwe2hUipzmRTMJ64YXOe4KQb2hwmgpKZlQg6hPkF+I5FkxzUFHBWpOKCqLjjze3gTalrIwZJduO\nHcChQwcnYYuyZBykZqKkhOcyK4tsMJpSgyghoxAedBDPpVvbBvTvz9qLvn3ZbC7RwBK2zaaZ1dW8\n7quro2GgHZogE+rq+DqlqBrmf5I5wr2SwS678Fz27k20bJkuX3ihub37+wJsW5tGoix9qRL9phoD\nF9jTp/P3YdtOoQCRNuF0m6HCxDMI3JqdWIA5nATM4XYi0kxQGmmk0foQ1D47jTRaIhDlkMhJlPv5\nSxx2mDmaHBJ6ErGZGxET20RO5/XLL2cCdsIEDowgk1TLXC9NRbI5XiRzhLIMkiDNxKRvk1/OllCI\nib199+X5O+ssroc2hsiZL0cSs8ceG5/5Ky4muvRSLoOwDYdZyxMOsw+H+z6AbXPS24oKbiM1hfGA\nPENEHNGLiIMNEDkZRZjiEfkz0n6Er1xDbhOrVCEoMyDPBylMIKKPEC1Rmn1JSEZ64EBzm4MO4nK8\n0O9E7BtExBrUlgAZcAWQe4of8B4SYc6ys73mnWlzuF8G2pJvQHosLQ9tZRxEAcZy/PGasJAEX3Gx\nWaq6k9GW3ksaKYZfiGwJKbn3i8q2117mepgoEbGZlhtI4knkdFaOgb38nhcP4TATouGwN4t9EKFG\nYaG5PkjeHr+QwHJepXZpwgQ6BBoIGS4cuZFiIRLRYaSJ9HuW5kQgGsNhzYyhLJ3dMZ5wmKXyFRXs\nfyEZRBNk2HRJ0MNEyo2MDN6r5L4qGRkZZh3mWG7INSQJW8kc7SgEyRPkl0R0yBAuDx9ubiOZGjkf\nknmGqeRORNwzaPt2b/Q+mXQ5HlpIJNamIM0EpZFGGq0HU6dqImPTJiYKIhFdn0YarR0ydK00Nfri\nCychj/LcuVwnc7zI/CZ+eYIQupnImeOlORAOM5MRDnsJUHd+H9NYpcZChihetYrLUrsiGStp5iXn\nWPpRzZrFZZno0i+8cSxIZgd+G+Ewm7pJhMOsmZk/n/PUTJrkjOKWDPzyBH34Ic9rQwOXpe/PtGlc\nlmHW/Rhyt6kb5iCWCdyOwJYt5vVk8pUhcoYJ//BDcxu5JmSeIBlFza99c6O4WAdrQNlvnETaH8xt\nhmpaoxLyu0ozQTsBMsRhK0Fb8g1Ij6Xloa2Mg6gVj8Vgr99qx5LGzoOf30fHjky85+Q487cAMhmo\nhF9iQimpljleYsDXJ0giCGEkAxsQeTVBklExjdUvvPF335nrpZmhvI+fdmnGDGeeoKYQeyaTuXBY\nhwlHGVqaSIQ1RDKyWyjEPktyruDzIxlBGYlszRpzn7p04XnNzSUbDI+cD8lIS0hmW+L11/3nKVZ4\n71Qglj9ZdrYjR1R0rG7GG5CMo1/4cLw7ImeeoEceMYfIlu+HKPXriYj3jkhEm5kR6bFKnznTPEGD\nh/lAcIsdgWTnIYXMV+vLE9QGOM800kgjBSgt5QhBaaTRmjByJNG8efx/hL2W+YDeesvpwI+ym4EA\nNmzgNjJPUJC8LF9+yWY9HTvyMyyLzWMsi0phtlVczES6ZXGoaMtigl7mCSJy5tcBoYk+xguKQOTM\nTyPz3/z0E5e3bOE2FRXs77BxI/vSuMMbo/zpp0zAfvONM08QfEP23FMHFUDfoUmyLK+JH+rhKC/n\nxraZWZEaHzmX1dU6ie3q1XrucnN1TiSlmBGqrtblXr0ME0bePEEY68qV8ed+/XpuM38+l/0Yqy+/\n5FxTrnUTnZviYmaIZK4p9BUwJbMlMjMAlsXv3aTxkQmIE6UfYwWjMPXp4ot1OOnsbGdQiooK9l1r\n354DFBQXO8NWm9aQhGVxdMLiYue45RqSyXDltYDUAuIb7dZNv4+srGDfI1GboMdblyaopkb/ShV2\nK0Bb8g1Ij6Xloa2MgyjBsSCkakB/hmYDDgJX5Ju29F7SSDHee88p6QexlZXl7ysky1hb33/PBI2f\ndkTmCRo9mv0+PvyQfUY2b+Z1fNttRG+84e0bEeXDmTwScZpOmXLXyMheSCAKgOnDmGQuFzk+CUnM\nghZwo7KS20ybZo6oJzVpUksg8y9t3EjFcBDfbTc2L+rd20kYy5DhiLpnWTrpKSDnA32zbfY3iUTY\n0d62nUELgmL5cicjiDUh11hmJo9Vhs4mMucJksyzDEqxfDmvoQEDOAiHXEPHH0905508pvJyHuuD\nD3I99m7L4hDtxcUcTtqyiN55xzteyzJr/UwaRFeS3ehYZYjs99835wlasYLrr7kmfp4gGUyipobN\n4EaN4jVUXc2ml5EIj9u2OXy4e6zSdBXrKRIhOvJILh94IN+ncQ1ZkhmV34JpbiIRLwMUT4CSZoJ2\nELp31y8LC+f66/X/ZeSTNNJI45cBRNZ65hn9/yee0P/f0aE277hD513BYf/0094QpGmkkQgkAeJn\n+q0UEy6SsCWKz0ApxeZMJSWspRg9mgiJUK+4gjVBtq2ZIpRlYADZBoFJbJvo0EO9fbZtloTbNmtT\n3G1MZT+NRRBmEWUZDlnm0ZHlhgZOdEnEjOAuuzjH+uijXJ440TsOy2JGxrKcEbEk0Sg1en7aPT/N\nh3wW+o7xZWWZ14R8hmSOZJvCQidTKNcNysOH8xqqqmJ/zNGjOSy2O+JXvLHKNRSJEJ1wAv8NRL9l\nsRZKRs6z7diBNdyEumlNbN/uDCtuYhJqarhcVGSeJ2n25ja385sDqXVFJEF3nqDTT+eyDL4Qb179\nEqQCcm5CoeDJT93R4VoxM9Q6mKA1a/QkY6IPPliX/dSyLQxtyTcgPZaWh7YyDqKAY0Fkrauv1v9H\nrpQdHWrzllt0+FwpGRaEWlt6L2kkgaBh3JELxn3N/7d35vExXm0f/00WQVZJLEkmYyxJqyJiSWkQ\nQakHrd2bapV46qmiSlW1aM2ji6VKtNTy1FZKURJLtV7U1PYoQV60VMTSbIRELJFIMrnfP07vZSaz\nJ8x2fT+f+cyZeznnXOc+c59znXOd65SX6zfvkdY3Q51ncygq0lYsTHXSAGRI10hIrzEUj9TTlDmd\nfn2Y8qJnDlJlx8yBiiP8WqqBA80qGzx8yL5VKtHdtkolzg5I1/6oVNqmvNJnKnX6oA9T5WHIlEk6\n0+Wm3fUT3lXFxfrvlc4E6a6TkZaBIfMxc8pPX31Sq0VvbWq19sC39HoLOuGCrNI6IbUu0lUQ9SE1\nu5RSXMw2TwWYYsUrwIWFpuVWq0WX9Wq1tqt6S8vvb7M6tUolbn5q6r/TsiXw+uvax/TtG1Xd7Sns\nbHsLGrYkCIKoacy1qSack99+M35erWafN99kMwv8+gHpeg9dpJ0z6XoDaYdWn1maNJybK87IVFaK\n4V9/BVq3NhlHcwPHTYaVSnGUPCBAdP0szbt0/xupfNbKeu+edpzSNSKG7pWM3nd68UUWmDxZ7JCa\nI2vt2uL/PyBAXOvCz6jpho3FI3UoIO20S6/RF5Yqz3yclZViWKPRCsfz5m0cp61s89dIFfI7d8S9\nZMrKxDI+dEjcM8fS+lG7tihfQICojEnXuiiVosmxUqm9zsiCtOKlbsANwccp/T9qNNr/U33lZEi5\nP39e/K8ZyqN0vZS0DhkqG3Nlld5rKF2AOXLQdYZx9qx5+yBZgkxmVzNHjjET5OA409oAksX+cBY5\nAJKFcBKk3qP0kZDAZgO+/pqtl+AVHGkHQWrq5uamrQQZWhNjaiNP6RoYKQMGiI4aOE40BeM44Ntv\nhbDs88/F47zjAI4DRo8Wwy+9JIb5PXKKivR3EKUzB9J8STv01srq5qZfVt1OmDQsUTRk+fnieX7x\nuNQsjOOAzZvF8Ndfi3mXzjZJTYb4vXc4Tnux/t/evMBxpkffpWVjSDGWwqfv4aFdDyRyu+nbOFRa\nTnXqiGXp56ddrrwJlZ+fdpq8mRzHMVNhPsybeUnrUO3a2rNNfLpFRWIdunZNdABRVKS/I63vueo8\nby1Z+XI1NPigW1f0lbGbm3hN3bri2jw/P9HJBceJG+VynLi0g+OALVtEmXiT7tJS0amHbtlI5ZPW\nIX4zXI4TZsz0Plf+Gh7+Wdarp+05EWD/B0NeAnXjMRc7mwkiJYggCNeic2ftRd0Aa8j8/YH167WP\n61uUawxde/0nvU6JsD0cx0as//nP6sfDI93FXSbTVh7M8WDFU6eOaEbu5ye61U5Jsdzkxpyw1G1v\ns2Zi2Ne3at70LWqXxqEbNoXUAYKXlxg2Zg5nzpodU+GiInGBe1FRVRMjfffqk7G0VOz8SvMlVQql\nM2NShVmfswdD5SiTidfXrau/nEpKxBmDe/dEszSZTNybqagI2L/ftKyGyuzVV8UwP1sTEMC88/Fh\n3lSwqEhUugx5kuPR7ahL5TM1UKA788gfl64bkiooFRViPN27W1ZvAgJEk+6AANHRRlERMGaMGOYd\nUZgTZ1GRmD9T5RQVxcz8pEpKu3bazh50edIzOo8hPVKCngDOtDaAZLE/nEUOoIZk4b3tGGLIELZx\no3TENT5e20SFp18/y5QZyV4tFWlpbDSPX/BLODf5+WwGKCMD2LFD29bfGAEBrJ4EBrJGnh8B9vRk\nYQ8PZoLEH9cdreWRjvpK93uRjtA3by7mSyazuKOfId14saYUJT4v+tA3Ag5od9ClC9ClC7v5hfO6\n6UnXleiWE68cKJU4Jt0nyFDepTMD5sgq3SeIXwumUmmvbza1dkqfMiMtA2lHUSqf1BmFNBwQIL53\npelJ95dp1kxbUeI3Xo2LM51flUqcTVCpgL179V9vqBPfvr0YljqZMLauTFpvpHXCy0uU1VCHWlq+\nwcFiWFpm0rSl7sl9fETlpXVrgJ85BbTrrCFZ588Xw++9Z/x63bA0r38fV6vVVctJqthJ6w1vrspv\namyM6jhEsLOZIFoTRBCEcyHdvE7KwYPAW2+x0baHD9mo15w57NxHH7Fv3RHqJk3ETqx0oaoh+BHK\n+/dxZPduMolzJRo0YIr1yZPaxxMStHeV14Uf/VWpgFGjWDg+XtzkdMYMsRM5fjywdKmoELm7s3BM\njLiXS/v2zLQtIYFtisnv9xIczNxU8500Pz/Rw2JCgrgGQdejlGRfl/r83jYJCeLahIQE7T1K+PU+\n0ntVKtFJgkrFNpHcupVd8/TTbLE9LxPfSXvqKe2Op0zGrunWjf2XExIAhUJ0Dy2Xi/vfhIay43yc\ndeuycOvWbOZCt2z8/NgMBz8D4e+PZz7+WJRD6sFLWjZSj228aZpKJZo7qVTa3s2kex117ix2jHv3\nBr77jl0TEsIW0vN5N4ZKxbyF7d0rXu/hwcJdu7K1XgkJzH3yyZMsHBbGOrx8Wnl5UK5dy+718mL3\ntmrFzLf4csrMFOMvKQG++IKFn38e+PJLMS/SPYCka5jkctGrWVQUKx9pHVKpRJNDlUpULFQqbUcR\nvXoBP/3Ewvwz4QeaUlJYnJGRzNU376Xv8mUWbtoUuHJFlJX/73TpAhw+rG1+plJpl1mjRkxRlQ5E\nqFRMlvPnxf/X7dus/rZuzcz3eKVN10JAWof4mT2psgiIJpK6svKOF3T/g7zyJqlDgqz8vf37swEa\nadnwMvHusK9eNa6oyGSi0s6v0Vq0iM1WSxVnY/fbE5ydsn//fuYPrrJS+wTAcXFxtskUQRD2w7Jl\n7H1Qu7Z4DOC4oCCOe/CA/R4+nPcryXHNmonX9enDceHh4jl/f46TycTf0k9UlBj3Dz+IcSxdynFv\nvimeAziua1eOa9pUDHftynGLFj3GQnj87N+/39ZZsFv279/P2iOA44YMMVyHZDKOmzjRdISzZpkf\nBjguKcn86w8eZPVx5kx276xZ7DNypHXpmxseOZL9HjTIcLr8Nc8/r/3f4a+XycT/oaXpNmtmmbw1\nIesbb9RMGXfuzHFKJQtHRXHc00+zMF+vdNPt2NH6dAHxfWbsmshI7TQ/+qh6svLxvP++/njeeIM9\nf/44Xz8iI6sna8+eVfMwZozpOvrPf5pO19o6lJqqHTcva0yM9bJK65Cha+rW5Ti5XDwufXd166b9\n+4UXOK5WLRb29GTfYWEc17gxxw0dynFt2nBco0Ycl5vL4po6lV1Tpw7HRUSI9+r25RcsYO11w4bi\nsdRUjuvXT3yv1q/Pvvv2Zf/r4GD2e+pUjuOsa6toJoggCMeC96zFj7iXlrKRVH50qqCAjXR5e4sj\n1AAbpTS0ADYmhn0PGMBG5vlrWrYUF7SamzeAjQo6kZkiYQR+IfSlS4avcXMTF0kbw9DMofT4tWts\n9PbDD4GPP2azIfxxU3HzDhn4UXDAvBmH6qBUaqelL11D1/AzYzNnMln546ZklcYp/eimW9NI5WjU\nyHSahp43/4y7d2d7xyQksFmxQ4eY+aSPD5vJ5j2zNWgArF1rnay69Yk3I5SWse41KhU7NmoUyxs/\nS2eNrNIy42eiABa3SsVmV6VmVyNHMln5tKqE33RRAAAgAElEQVQjq/QePhwaarqOyuXG07XUAoDP\nly41IStfh/T9d44fF2ePDx1i7aDu2qGrV6vGXasWm8Hy92fvv2PH2Hvo9GnDa+B4qjMTxLsyl7re\nryaOqQRJ7ZIdALVa7TRmMSSL/eEscgAWyiKXi2F/f+ZpaNgwtn5i7VqmwLRrJ16Tnc1++/kxBenV\nV0VzuJpWWKKinOq5EEbgOwnl5awTp2+fEd2NEw2hbyNM3TDf8QSYcsV3bvRtMGosbMm1f4er1GlL\nw+akK0Xa8awJWc25/knKas4z1lUw+LBSKXZoDb2/zExLjb+9WRoqY311Tq2udn2qEpZirAz0UVOy\nmhOnqWuq87yBmpdVWn5SWd9/XzvPUVHA7t3aaUk3gAWYCR2/T5J0fyVzqY4SxJsFnj3LTP54Vq8W\n11NZiJv1ubEhNagFEgThYCQksNGnvXvFzuXWrawhkc78AGy9AcBevJ6ezHZZrQY6dRKvcdPzGuTt\nrq2Fd4VLOD+8ff+FC2xGUp/C06oVW8vAd2LNUbrN6XQZOm5mR9+hwlIeZ1r2JpM52CI/T/L5Vede\nW9Une8qXOXECwJIlVWdZpY4fdLHEWyPA1uJK14rx6/aMvQ8zM6s6YHj4UHvGqho6gWMqQfa2sMoE\nCZa+0OwYksX+cBY5AAtk4V/WvLIRGMh++/qyqXp+bxMe/iV65kzVuPR1Wvkpfd7UyRQTJ2o3FpMm\nOdVzIcwkJ0f/ppYAU8h5Jaim6oa18Vh5X7XrtDn3W9qpq6l0q9xSjfSsTNNkPNJwv341lq4gq6XP\npxppmh237vFq1gmTslpbBjXFk5RViqGBO12liPcMKKV5c2DCBP338/uPAcxBCe8VEWAmdCqVlldV\nlJUxpYj3yMo7f9CloED7nJVeWB1HCUpOZg8yMpJ5WElIYB/ah4MgXA+1mr08ebfADx+yUfiyMnZs\n40Z2/OJF8Z6KCuDnn6vGZczNp+7M0q5d2r95T1Pp6aLHJXovuS6nTuk/fvIkq4uGXD5biysp2q4k\nqxRDHeElSx5vWtW5pqZ5HGnaa32ylayTJon9bGPoG+SpqGCKkD5+/bXqtTwXLrDvWbPEYyUlzJw9\nNdVUjtm1POZcrwf7VoIGDWJ7d6jV7AGp1cCffzLXj/ziaN69qB1D+7jYJ84ii7PIAVggS0ICU4LW\nrmWLOWUycS3G7dts/c/TT7OFmjwcx0zopJvN1amjPTKly8OHbBHthx+y37wzBj6frVuz8K+/Vnkv\nOdNzIczElHlI/fpPJh+PCVeq0ySrc0KymoHUNb05cBzwzjvMzbuUFSvEd2JJCVuvK1Wi7txhpuf3\n7jFT9Rs3WDv+ww/Ab7+xWShz3G4DQL16luX5b+zbMcK2bbbOAUEQ9k7Pnmwm5rfftBelX7nCvmvX\n1j6elwesWcP2M2nRgilK/OgXbxKwfbt4/fr1YlgmY6NlP/8srjciCFPIZKyjMHasaA5nryPRBEG4\nJpMmsc+ECWw/MkvgOGDhQmaJ4eYGdOyovQkwoN+8nHeukJMjOmHgzdzeeUf/ml198HuYWYh9K0GG\ncLBFx860NoBksT+cRQ7AClmSk0VvNrpeuQytzaisZLbIjRqJGxTyI2bJyWxaPSSEuTT29xc3NAwO\nBn7/HZg2jb3wz5wBBg8W49V5LznTcyGqiUzGXBs/bnfUjxlXqtMkq3NCspqBIdM2cygrYyZvvAe5\n6sBxTAniB5EeA/ZtDmcIBzCBIwjiMcMrLB46Yzm1a2v/5t1q8usxzp4FTpwQd8iWwpvd8uZtMTHM\nJejly8wDHcBe8uXlbGHmyZOiAkXvJUKK1OFGZSUbqaT1YgRB2DNqNfO81r27dfdL1/xUF45j7e1j\nUoAAGyhB6enpmDRpEt5++22kWrmQydFwJhtUksX+cBY5AAtl4RWW0aPZjA0Pr/Tw8C/QkBBxVEm6\ndsPYzDJ/Ljm56iZwGg3zfDN3rl4Xn870XFyNarVTvPLDO+3Q9WaamuqwipAr1WmS1TkhWU3Am+p2\n6QLEx+u/pk4d9q074GgJ7u5sXzVdTJm/cRzb66+GeKJKUGVlJVatWoUZM2bgiy++wNGjR5GjuxGT\nFDc39mnS5MllkiAIxyImhpkaSV+Mvr5iWKNhCz2zs5nyU1bGHB4cOMA6o4ZmcAYM0D7n46PfPf+N\nG9ouPgmHxuJ2She+g8CbY0odb6SnswW8NGtIEIS9wjseKilhyoq03XN3Z58XXmAm5YD529bwCo5M\nxtrlR4+qXmPKuUxAABtokipQixaZl76+LFl9pxVcvnwZISEhqF+/Pjw8PNCpUyec5L0t6aOykn34\nHbkdFGeyQSVZ7A9nkQOwUpaEBKBNG/Zxd2edT+l6II5jSg9Q9WU9e7bh/Q2kHdVJk9hmrNHRVa9r\n1IgpYlWylWCJFISdYHE7BYimlv7+rB4CbHFvVFTV0dKDB63e08LWuFKdJlmdE5LVAubPB2bOZP3w\nxo3Z7PbMmWyriI4dWd/cx8e8mZnYWOZlNSSEtclduwIjR7J7pQpN7drGZ5iCg5lyptGI6VZjreUT\ndYxQWFiIIMlO7IGBgbh8+fKTzAJBEM5ISgr77t2bOUhQq5lylJ0NyOXsd0wMU1j27hXv8/MDjhwx\nPiPEw3vOCQ5mNtMyGbN/Li1lL2HdmSPCIbG4nfL2ZouA+Q6HWs3qCACcO8e+AwLYqKd0l3OCIAh7\nRleJio2t6tny/n3Wfk6ZwpQbjmODQrxZur8/88R6715VZUWlYm6weedEaWmiQwUfHxZHeTkL37/P\nlDG5nH349jYggL1XW7WySkTHdIzgYDiTDSrJYn84ixxADcjy/vtieMAA9rLkGTWKubZu1oy9mLt2\nZS/g9HTLlJeZM9kIf48eRvcsc6bnQhihZ08xzK8hmzlT+5pu3fTbvzsYrlSnSVbnhGS1EF7h6deP\nvd/431JFaNIk4KWX2KBi165scNDHhylDRUXMXG35cu37pNtSJCSwb6mTo5492aCmUskGMF96ibXb\nhvYI5QecLETGcY/R7YIOly5dwtatWzFjxgwAEBacDtCzMPnAgQNPKlsEQRCEEXr06GHrLDwxqJ0i\nCIJwTCxtq56oOVzz5s1x48YN3Lp1C/Xq1cPRo0fx9ttv673WlRpdgiAIwj6gdoogCMI1eKIzQQBz\nPbpmzRpwHIfu3bvrHV0jCIIgCFtB7RRBEITz88SVIIIgCIIgCIIgCFtCjhEIgiAIgiAIgnApSAki\nCIIgCIIgCMKleKKOEcwlPT0da9euBcdx6Natm8PaYxcUFGDJkiW4e/cuZDIZevTogT59+tg6W1ZT\nWVmJDz74AIGBgZg2bZqts2M1Dx8+xPLly5GVlQWZTIY333wTERERts6WVezevRsHDx6ETCaDQqHA\nuHHj4OFhl3/rKixbtgynT5+Gv78/FixYAAB48OABkpOTcevWLTRo0ACTJ09G3bp1bZxT4+iTY8OG\nDTh16hQ8PDzQsGFDjBs3zu7lAPTLwrNr1y5s2LABq1atgo+Pj41yaD84SztlCmdrx8zBWdo6c3Cm\n9tAUjtxemsJZ2lNzqNE2l7MzNBoNN2HCBC4/P58rLy/n3n33XS47O9vW2bKKO3fucFevXuU4juNK\nSkq4iRMnOqwsHMdxu3bt4hYvXszNnTvX1lmpFkuWLOF++eUXjuM4rqKigisuLrZxjqyjoKCAGz9+\nPFdeXs5xHMctXLiQU6vVNs6V+Vy4cIG7evUqN2XKFOHY+vXrudTUVI7jOC4lJYXbsGGDrbJnNvrk\n+L//+z9Oo9FwHMdxGzZs4L777jtbZc8i9MnCcRx3+/Zt7pNPPuHGjRvH3b9/30a5sx+cqZ0yhbO1\nY+bgLG2dOThLe2gKR28vTeEs7ak51GSba3fmcJcvX0ZISAjq168PDw8PdOrUCSdPnrR1tqwiICAA\nSqUSAFC7dm2EhYWhsLDQtpmykoKCApw5c8bhXcI+fPgQFy9eRLdu3QAA7u7uDj0yUllZidLSUmg0\nGjx69Aj16tWzdZbM5umnn4a3t7fWsbS0NHTt2hUAkJCQ4BD/fX1yREdHw82NvV4jIiJQUFBgi6xZ\njD5ZAGDdunUYMWKEDXJknzhTO2UKZ2rHzMFZ2jpzcLb20BSO3F6awlnaU3OoyTbX7uYBCwsLERQU\nJPwODAzE5cuXbZijmiE/Px/Xr1932GlmvhP08OFDW2elWuTn58PX1xdff/01rl+/jqZNmyIpKQm1\natWyddYsJjAwEP369cO4cePg5eWF6OhoREdH2zpb1eLu3bsICAgAwDpfd+/etXGOqs/BgwfRqVMn\nW2fDatLS0hAUFASFQmHrrNgNztpOmcLR2zFzcJa2zhycqT00hTO2l6ZwxvbUHCxpc+1uJsgZKS0t\nxcKFCzFq1CjUrl3b1tmxGN72UqlUguM4cA7sVb2yshJXr17FCy+8gHnz5sHLy0vYEd7RKC4uRlpa\nGr7++musWLECpaWlOHLkiK2zVaPIZDJbZ6FabN++He7u7ujcubOts2IVZWVlSElJwbBhw4Rjjvz/\nJ6zH0dsxc3Cmts4cnKk9NIUrtJemcPT21BwsbXPtTgkKDAzE7du3hd+FhYUIDAy0YY6qh0ajwRdf\nfIH4+HjExsbaOjtWcfHiRaSlpWHChAlYvHgxfv/9dyxZssTW2bKKwMBABAUFoVmzZgCAjh074sqV\nKzbOlXWcO3cODRo0gI+PD9zc3NChQwf8+eefts5WtQgICEBRUREAoKioCP7+/jbOkfWo1WqcOXMG\nb7/9tq2zYjU3btxAfn4+pk6divHjx6OwsBDvv/++y4woGsLZ2ilTOEM7Zg7O1NaZgzO1h6ZwxvbS\nFM7UnpqDNW2u3ZnDNW/eHDdu3MCtW7dQr149HD161KE7EcuWLYNcLndobzrDhw/H8OHDAQB//PEH\ndu3ahQkTJtg4V9YREBCAoKAg5ObmIjQ0FOfOnYNcLrd1tqwiODgYGRkZKCsrg6enJ86dOyc0Zo6C\n7mhru3btoFarMWDAAKjVarRv396GuTMfXTnS09Oxc+dO/Pvf/4anp6cNc2Y5UlkUCgX+85//COfG\njx+PefPmubx3OGdrp0zhDO2YOThTW2cOztQemsIZ2ktTOEt7ag411ebKODuc701PT8eaNWvAcRy6\nd+/usK5HL168iFmzZkGhUEAmk0Emk+Hll19GTEyMrbNmNXzD4MhuQ69du4YVK1agoqLCodwX62Pr\n1q04duwY3N3doVQqMXbsWIdx+bl48WL88ccfuH//Pvz9/TFs2DDExsZi0aJFuH37NurXr4/Jkyfr\nXahvT+iTIyUlBRUVFfD19QXAFmq+/vrrNs6pafTJwi+aBoAJEyZg7ty5Lq8EAc7TTpnCGdsxc3CG\nts4cnKk9NIUjt5emcJb21Bxqss21SyWIIAiCIAiCIAjicWF3a4IIgiAIgiAIgiAeJ6QEEQRBEARB\nEAThUpASRBAEQRAEQRCES0FKEEEQBEEQBEEQLgUpQQRBEARBEARBuBSkBBEEQRAEQRAE4VKQEkQQ\nBEEQBEEQhEtBShBBEARBEARBEC4FKUEEQRAEQRAEQbgUpAQRBEEQBEEQBOFSkBJEEARBEARBEIRL\nQUoQQRAEQRAEQRAuBSlBBEEQBEEQBEG4FKQEEQRBEARBEAThUpASRBAEQRAEQRCES0FKEEEQBEEQ\nBEEQLgUpQQRBEARBEARBuBSkBBEEQRAEQRAE4VKQEkQQBEEQBEEQhEtBShBBEARBEARBEC4FKUEE\nQRAEQRAEQbgUpAQRBEEQBEEQBOFSkBJEEARBEARBEIRLQUoQQRAEQRAEQRAuBSlBBEEQBEEQBEG4\nFKQEEQRBEARBEAThUpASRBAEQRAEQRCES0FKEEEQBEEQBEEQLgUpQQRBEARBEARBuBSkBBEEQRAE\nQRAE4VKQEkQQBEEQBEEQhEtBShBBEARBEARBEC6Fh60zQBA5OTkoLi6GTCazdVYIgiAIgnjMcBwH\nb29vhIWF2TorhAtDShBhU+7cuYPy8nJ6ERIEQRCEC3Hr1i3cuXMH9erVs3VWCBeFzOEIm3Lr1i0E\nBwfbOhsEQRAEQTxBgoODcevWLVtng3BhSAkibIpMJiMzOIIgCIJwMaj9J2wNKUEEQRAEQRAEQbgU\npAQRBEEQBEEQBOFSkBJEEIQWTz31FI4cOVIjcb3++uuYM2eO0WsOHjyIli1b1kh6utSkLI7G7Nmz\n8eabb9Z4vFeuXIGvr2+Nx0sQzsTGjRsxePBgW2fjsTBv3jxMmjTJ1tkgiGpDShBB6KFRo0YICQlB\nSEgI/Pz8UL9+feHYli1bbJq3AwcOoE2bNmjYsCH69euH7Oxsm+anJiC7cMeCntfjhd4/js/w4cOx\nbds2AIBGo4Gvry+ysrJsnKuaYdq0aUhOTgZAgyKEY0NKEGHXuB06ZJM4bty4gby8POTl5UGhUOCH\nH34Qjg0bNqzK9RqNptr5NIf8/HyMGDECH3/8Mf766y+0atUKSUlJTyRtgnA1DtVAC2lNHPT+cS44\njnPagQNnlo1wfkgJIuwa98OHbR4Hx3HgOE7r2OzZszFy5EgkJSUhNDQUmzdvxokTJ9C9e3fI5XJE\nRERg6tSpWp2T8+fP48UXX4RCoUDz5s2xePFiIf7PP/8c0dHRUCqVSEpKwt27d/XmZceOHYiOjka/\nfv3g5eWF6dOn4/Tp07h69are69etW4eWLVsiJCQE0dHRwsgkAKxatQpt27ZFSEgIOnTogPPnzwvn\n0tPT0aFDB8jlcowePRrl5eXCuR9//BHPPfcc5HI5evXqhT/++EM4d+bMGcTFxSE0NBRJSUl49OiR\nBSXNuHDhAnr37g25XI6OHTti7969wrk9e/YI8T/zzDOYN2+e1r0bNmzAM888A6VSiYULF5qVnrHn\nNmHCBMyaNUvr+iFDhmD58uUAgNOnTwv5GTVqFEaMGGHS/A9gz5G/LyYmBgcPHgQA9OzZE//+978R\nHx8PuVyO4cOHC3VBn9mgJeZ+O3fuRGxsLMLDw9GvXz9kZGQI5+bPn49WrVohJCQEzz77LPbs2SOc\nq6ysxLRp06BQKBAdHY19+/aZld66devQrl07hISEoHXr1li3bp1wLiYmBgcOHBB+l5eXQ6FQ4Pff\nfwcArF+/Hi1atIBSqcSCBQtsZtZ42L36nbvqxuHI75/CwkKMHTsWzZs3h0KhwKuvvgpArMtz586F\nQqFAq1at8MMPPwj39ezZExs3bhR+r1u3Dv/4xz9MlpUhGY2VDT9Ls3z5ckRFRUGpVGr95zMzM9Gn\nTx8oFAoolUqMGTMG9+/fF85nZWUhMTERSqUSSqUS06ZNq5Ln3r17AwDat2+PkJAQ7NixA23btsX+\n/fuFeMrKyhAeHq71PpVy5MgRdO/eHWFhYWjRogU2b94MwPg7kZ+lWbt2LSIiIhAZGYmlS5cK562t\nM1JTW142fqby2LFjkMvluHTpkhDPzZs30aBBA9y5c8fkMySIJwkpQQRhJbt370ZiYiJyc3MxePBg\neHp64vPPP0dWVhb279+P/fv3Y9WqVQCAe/fu4aWXXkLfvn2RmZmJ9PR0dOnSBQDw1Vdf4X//93+x\nb98+XLp0Cd7e3nj33Xf1pnnhwgW0atVK+O3r64vGjRvjwoULAIDPP/8cL7/8MgDg/v37mD59Onbv\n3o28vDzs27cPUVFRAIAtW7ZgwYIFWLt2LfLy8rBx40YEBgYK8aakpGD37t04d+4czpw5g02bNgEA\nTp06hYkTJ2LZsmXIysrCa6+9hsTERFRUVKCsrAyJiYkYOXIksrKy0LdvX+zevduiMi0vL8fQoUPR\np08fXL9+HXPmzMHIkSOFTpaPjw9Wr16N3NxcbNmyBcuWLROUpPPnz+Pdd9/F2rVrkZGRgby8POTn\n55tM09hzGzp0qJbiWFhYiEOHDmHIkCEoKyvDyy+/jKSkJGRlZaF///5myXv8+HGMHz8ec+fORW5u\nLvbs2YPw8HDh/Pfff49vvvkGGRkZggLCY2zE9ciRI1AqlXrPXbx4Ef/617+wcOFCXLt2DQkJCRg2\nbJjQ4YmIiMCBAweQl5eHqVOnYvTo0cL+HStXrsTBgwdx4sQJ/Prrr9i+fbtJGQGgYcOGSElJQV5e\nHr766iu8++67gpIzZMgQLbOuvXv3IiQkBC1btsT58+fx3nvv4dtvv0VGRgZu375t1nN0Nez9/QMA\nSUlJKC8vFxSlcePGCedycnLw8OFDZGZmYsmSJRg3bpxBZQowbYJpTEYPDw+DZcOzZ88eHDt2DEeO\nHEFqaqqghHEch2nTpuHq1atIS0vDtWvXBEVDo9Fg8ODBiIiIwIULF/Dnn39i0KBBVfK8d+9ecByH\nU6dOIS8vD/3798crr7wivFf59Bs3boxnnnkGABAbG4uUlBQAwLVr1zBkyBBMnDgRWVlZOHr0qDAg\nYuydyHPs2DGcP38e27dvx7x584QBBWPlYqw8pfBp8TOVcXFxGDRoEL7//nvhmi1btuD555+nTVEJ\nu4OUIMLucDt0CJ6ffgrPTz9FrTlz4O3jU61PrTlzhPhqwryO57nnnsMLL7wAAPDy8kKbNm3Qrl07\nyGQyNG7cGElJSUJjs2fPHigUCowdOxaenp7w8fFB27ZtAQCrV6+GSqVCw4YNUatWLbz//vtC46dL\ncXEx/Pz8tI75+/vjwYMHAICpU6dqNaxubm74/fff8ejRIzRs2BBPPfUUAODbb7/FO++8g+joaABA\ns2bNEBoaKtw3fvx41K9fH/Xq1UPv3r1x9uxZAMCaNWswZswYxMTEQCaTCSO7p06dwn//+1+4ubnh\njTfegLu7O4YMGYLWrVtbVKbHjh1DeXk5Jk6cCHd3d3Tr1g09e/YURonj4+Px9NNPAwCioqIwePBg\noYxTU1Px4osv4tlnn4WnpydUKhUqKytNpmnsucXHx6O8vBwnTpwAAGzfvh1xcXEIDg7GsWPH4O7u\njjFjxsDd3R0DBw5EmzZtTKa3fv16JCUlIT4+HgAQGhqK5s2bC+eHDx+OyMhI1KlTBzNnztRSwozR\nuXNnXLt2Te+5bdu2oW/fvujSpQvc3d0xZcoU3Lt3DydPngQADBw4EA0aNADAFD+FQoEzZ84AYArx\nhAkT0KhRI9SrVw9TpkwxKz+9e/eGQqEAwMoxISEBx44dAwAMGzYMu3fvRllZGQBg69atgpkX/xxj\nY2Ph6emJjz76qMpMyOPkkBvwqacMn3rKMKeWDD7ebtX6zKklE+KrCfM6Hnt//+Tk5ODQoUNYvHgx\n/Pz84O7ujri4OOE+d3d3TJ8+HZ6enujatSuef/55g+magzEZ27Zta7BseKZMmQI/Pz/I5XKMHTsW\nW7duBQA0b94cXbt2hbu7O4KDgzF+/Hjh3uPHj6OwsBCzZ89GnTp14OXlhQ4dOhjMo7QeJyYm4qef\nfkJJSQkANvghVSBPnjyJgQMHAgA2b96MXr16YcCAAXBzc0NgYKAwoGXsnQgwRWz69Onw8vJCVFQU\nXnnlFUE2Y+VirDxNMXz4cK1Bjk2bNmnJRhD2goetM0AQulTGx6Py7w4iAJTPmFGt+Dw//bTacehD\nLpdr/b506RKmT5+OM2fOoKSkBBqNBu3btwcAZGdno0mTJnrjycrKwrBhw+DmxnpIHMfBzc0N+fn5\nQseUx9vbW8sUA2Ajdj4+PlXi9fX1xZo1a7B48WKMHTsWcXFxmDNnDpo1a4acnBw0bdrUoGzSdOvU\nqYOioiIhr1u3bhVMKjiOQ3l5OXJzc1FWVoawsDCteKQzHOZw8+bNKvcoFArk5uYCAH777TeoVCpc\nuHAB5eXlKCsrw9ChQwGwkUhp+t7e3maNPBp7bjKZDIMGDcLWrVvx7LPPYsuWLRg9erSQV115dX/r\nIzs7G+3atTN4XlqvFAoFHj16VG0zkry8PK1ylclkCAsLE8p1w4YNWLp0KbKzs8FxHIqLi1FQUACA\nlas0T+Y+059++gnz589HZmYmKisrUVJSIsgdGRmJpk2b4ueff0aPHj3w888/49NPPxXSk5Zj3bp1\nERAQUC35LSG+EoivFDurM8qrp4B96imrdhz6sPf3T3Z2NoKCgvSeA4DAwEDUrl1b+K1QKJCXl2dC\nasMYk9FY2fBI65w0Lzdv3sTUqVNx/PhxFBcXQ6PRoH79+gCYote4cWOr1sSEhYWhffv22LlzJ3r1\n6oVffvkFX375pUHZDL2vjb0T9ckWHh6OX3/9FYD1dcYUHTt2hKenJ/773//C398f2dnZgtkcQdgT\nNBNEEFai2/BNnDhRMOfJzc3FjBkzhJE/uVyOK1eu6I1HLpdj586dyMrKQlZWFrKzs/V2QACgRYsW\nwqwMwEzerl+/jhYtWuiN+/nnn8euXbuQmZmJJk2aYOLEiQBYo2goP8aQy+X44IMPtPJ68+ZNDBw4\nEA0bNkROTo7W9ZZ6jmrUqFGVe7KysoRZqqSkJAwcOBAZGRnIycnBa6+9JpSxbvoPHjwwS3kw9twA\nNjOSkpKC69ev4+zZs3jxxReF9HglgkdXfn3I5XKjZj9S+f/66y94eXmhXr168Pb2xsOHD4VzFRUV\nKCwsNJkeAISEhGh5puI4Djk5OQgNDcW1a9cwefJkfPnll8IzjYiI0CpXaZ7M8XBVWlqKESNGYOrU\nqbh27Rqys7PRvXt3rXLlTeJ27dqF6OhooVOvW67FxcWCEk6I2Pv7Ry6Xo6CgQJgl0qWwsFBrzWBW\nVhZCQkIAoEpdv3nzpqFi0ErPkIym/uMAqtRxPi8ffvghateujZMnTyInJwfLly/XKte//vrL5Eyl\nISVp+PDh2LRpE7Zt24bOnTvrLXM+nczMTL3njL0T9cmWnZ2NRo0aAbC+zpgj28svv4xNmzbh+++/\nx6BBg+Dp6WkyLoJ40pASRNg1Gj02yLaIwxwePHgAPz8/1KlTBxcvXsTq1auFc3369EF2djZWrlyJ\nsrIy3L9/H6dOnQIAjB49GrNmzRIaqp8qikQAAAbvSURBVPz8fK2F6VL69++P8+fP48cff8SjR48w\nZ84ctG3bVu+I3c2bNwVzCw8PD9StW1cY7R05ciSSk5OFDk1mZmaVDr0+Ro0ahZUrV+L06dOCzHwa\ncXFxqKysxMqVK6HRaLBt2zakp6dbUIJsBNHDwwNfffUVKioqoFarsW/fPgwZMkRILyAgAJ6enjhx\n4oTWYuqBAwfixx9/xMmTJ1FWVobZs2cL8hrD2HMDmMmIr68v3nrrLfTq1Qve3t4AgLi4OFRUVGDV\nqlXQaDRITU0VTMiM8dprr2HdunU4fPgwOI5Dbm4uLl++LJzftGkTLl26hOLiYnz22WfCXiORkZF4\n8OABfvnlF1RUVOCzzz5DRUWF6UIFMGjQIOzZswdHjhxBRUUFFi1aBD8/P8TGxuLBgwdwc3NDUFAQ\nNBoN1qxZo7WoedCgQVi6dCny8vJQUFCARYsWmUzv0aNHKC8vR1BQEGQyGX766Seo1Wqta4YOHYp9\n+/Zh9erVWh7PBg4ciN27dyMtLQ3l5eX45JNPbOZ9qoum+jM4NRGHOdjb+ycsLAzdunXDO++8g7t3\n76KiogJHjx4Vzms0Gnz22WcoLy/HoUOHsH//fsH8Kzo6Gjt27EBpaSkyMjKwfv16k/Ibk9HUfxwA\nkpOTcffuXWRlZWH58uVa75y6devC19cX2dnZWrM1HTp0QGBgIFQqFUpKSlBaWorjx49XiZv/f+kO\nfrz00ktIS0vDypUrjZqLJSYm4sCBA9i5cyc0Gg0KCgoERzbG3okAG/CYN28eSktLcf78eXz33Xda\nsllTZ6TUr18fMpmsiiluYmIiUlNTsXXrVgwfPtygbARhS0gJIuwaqVmcreIwtwP22WefYcOGDQgJ\nCcGkSZO0Nsrz8/PDzp07kZqaiqZNm6JNmzZCh4DvXPfr1w+hoaHo1auXoGTo0qBBA3z77beYOXMm\nwsPDcfbsWaxZs0Y4P2/ePPzP//wPANbJSE5ORkREBJRKJU6cOCF4TBs6dCgmT56MkSNHIjQ0FK+8\n8oowa2JM3tjYWCQnJ2PSpEkIDw9H27ZtBS9FtWrVwqZNm7BmzRqEh4fjxx9/FGZNzKVWrVrC7EDj\nxo0xbdo0rFmzRuhkJScnY9asWQgNDcXChQu1yjgqKgrz58/HiBEjEBkZiZCQEDRs2NBkmsaeG8+Q\nIUOgVquFspXK+8033yA8PBypqal44YUX4OXlZTS9Dh06CI4CQkND0bdvX62R2sTERLz++uuIjIwE\nx3GYO3cuACAgIAALFizAmDFjEBkZiaCgIC35Dh8+bNBUrUWLFlixYgXefvttNGnSBAcOHMDmzZvh\n7u6OqKgojB07Fl27dkXz5s2RmZmJ2NhY4d4xY8YgISEBHTp0QLdu3YSOqjH8/f0xd+5cJCYmQqFQ\nYOfOnVW8e4WGhqJNmzY4deqU1mLyqKgozJ07F6+++ioiIiIQHByMwMBAk+X6OIg3vaTsscfhqO8f\nAPjmm2/AcRxiYmLQtGlTrFixQjgnl8tRt25dNGvWDG+++SaWLl0q/M/5GeumTZti/PjxSExMNCm/\nMRnN+Y//4x//QFxcHDp37iw4LgCAGTNmIC0tDWFhYUhMTMSAAQOEe9zd3fHDDz/g4sWLeOqpp9Ci\nRQvs2LFDb/5mzJiBpKQkhIeHY9euXQCYqSe/15Luu7JNmzaCE5LGjRtjy5YtWLhwIcLDw9GlSxfB\ni5yxdyLPc889h6ioKAwcOBDvvfee4ODA2jojxcfHB1OmTEFCQgLCw8OFgS+FQoGWLVvCy8sLzz77\nrN4yIQhbI+Oe5IpTgtAhIyNDa0E+QTgyXbp0wYQJE7Q6gpbQs2dPJCUl0ciphPv37yMsLAwXL16k\nd4WTcPDgQbz11ltabvlthUajQUBAAP744w+L1zDWBJ988glycnKwbNmyGo/7ypUriImJwb1792o8\nbnP417/+hSZNmuCDDz4weE1ubi4iIiKeYK4IQoRmggiCIKzk8OHDyM/Ph0ajwbp165CRkYEePXrY\nOlsOz549e1BSUoIHDx7ggw8+QJs2bUgBIpyOgoICbNiw4bFuOGurce6rV69iz549eO2112ySPkGY\nAylBBEE8dubNmydspif9WDtjYin9+/fXSp8P85v/Wcuff/6Jjh07Qi6XY8WKFdi4cSOCg4OtlteR\ndl6vrKysIiP/m3e9bS27du1CREQEWrRogaysLC2TK8J1OXz4sN46V90ZHFv877755hs888wzglv/\nx4UtZFOpVOjUqROmTp1qlsdMgrAVZA5H2BQyhyMIgiAI14TM4QhbQjNBBEEQBEEQBEG4FKQEEQRB\nEARBEAThUpASRNgUT09PFBcX2zobBEEQBEE8QYqLi2kTVcKm/D/XUWuGdXK6QgAAAABJRU5ErkJg\ngg==\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc84bff9e50>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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T8fHxmDx5MrZs2YLTp08jLS0NAwcOxAcffMCRTMkR+LBUohC1aNEC999/P8aPH1/Vu0JE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\nKbrpJuDuu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Tl0sagLDz4Yv4szGAzx48MPG/sKGpdx46i4MycgaCxuvrnur5k2jbLIuS2k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\nGERERNQIiouL+SOq1GT8H2lxYEw20xqJAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc84bf74090>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "trappy.LinePlot(ftrace,\n",
+ " signals=[\n",
+ " #\"sched_load_avg_cpu:util_avg\",\n",
+ " \"sched_load_avg_cpu:load_avg\",\n",
+ " \"cpu_capacity:capacity\"\n",
+ " ],\n",
+ " pivot=\"cpu\",\n",
+ " filters={\"cpu\": [0,1]},\n",
+ " marker = '+',\n",
+ " drawstyle='steps-post',\n",
+ " title=\"high_load\",\n",
+ " ylim=(0, 1100)).view()\n",
+ "\n",
+ "trappy.LinePlot(ftrace,\n",
+ " signals=[\n",
+ " \"sched_load_avg_cpu:util_avg\",\n",
+ " #\"sched_load_avg_cpu:load_avg\",\n",
+ " \"cpu_capacity:capacity\"\n",
+ " ],\n",
+ " pivot=\"cpu\",\n",
+ " filters={\"cpu\": [2,3]},\n",
+ " marker = '+',\n",
+ " drawstyle='steps-post',\n",
+ " title=\"high_load\",\n",
+ " ylim=(0, 1100)).view()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "collapsed": true
+ },
+ "source": [
+ "# Workload Execution Round: low_load cgroup"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:17:42 INFO : #### Setup FTrace\n",
+ "05:17:42 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo 10240 > '\\\\''/sys/kernel/debug/tracing/buffer_size_kb'\\\\''' | su\"\n",
+ "05:17:43 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/kernel/debug/tracing/buffer_size_kb'\"\n",
+ "05:17:43 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd reset' | su\"\n",
+ "05:17:44 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd start -e cpu_frequency -e sched_load_avg_cpu -e sched_load_avg_task -e sched_switch -e cpu_capacity -e sched_blocked_reason -e sched_boost_cpu -e sched_boost_task -e sched_contrib_scale_f -e sched_cpu_hotplug -e sched_energy_diff -e sched_kthread_stop -e sched_kthread_stop_ret -e sched_load_avg_cpu -e sched_load_avg_task -e sched_migrate_task -e sched_move_numa -e sched_pi_setprio -e sched_process_exec -e sched_process_exit -e sched_process_fork -e sched_process_free -e sched_process_wait -e sched_stat_blocked -e sched_stat_iowait -e sched_stat_runtime -e sched_stat_sleep -e sched_stat_wait -e sched_stick_numa -e sched_swap_numa -e sched_switch -e sched_tune_boostgroup_update -e sched_tune_config -e sched_tune_tasks_update -e sched_tune_filter -e sched_wait_task -e sched_wake_idle_without_ipi -e sched_wakeup -e sched_wakeup_new' | su\"\n",
+ "05:17:45 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo TRACE_MARKER_START > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "05:17:45 DEBUG : Trace CPUFreq frequencies\n",
+ "05:17:45 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "05:17:45 INFO : #### Start energy sampling\n",
+ "05:17:45 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "05:17:45 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "05:17:45 DEBUG : SAMPLE: {'BOARDBIG': {'total': 9.833697999999998, 'last': 200.537344, 'delta': 7.735702000000003}, 'BOARDLITTLE': {'total': 15.014628999999985, 'last': 180.443491, 'delta': 13.383905999999996}}\n",
+ "05:17:45 DEBUG : RESET: {'BOARDBIG': {'total': 0, 'last': 200.537344, 'delta': 0}, 'BOARDLITTLE': {'total': 0, 'last': 180.443491, 'delta': 0}}\n",
+ "05:17:45 INFO : #### Start RTApp execution\n",
+ "05:17:45 INFO : WlGen - Workload execution START:\n",
+ "05:17:45 INFO : WlGen - /data/local/tmp/bin/shutils cgroups_run_into low_load /data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\n",
+ "05:17:45 DEBUG : adb -s 192.168.1.101:5555 shell \"/data/local/tmp/bin/shutils cgroups_run_into low_load /data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\"\n",
+ "05:17:55 DEBUG : WlGen - Callback [postrun]...\n",
+ "05:17:55 DEBUG : RTApp - Pulling logfiles to [/data/lisa_fork/lisa/results/eas_cgroup_cpuset]...\n",
+ "05:17:55 DEBUG : adb -s 192.168.1.101:5555 shell ls '/data/local/tmp/devlib-target/*task_r2*.log'\n",
+ "05:17:55 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_r2-3.log' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset'\n",
+ "05:17:55 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_r20-1.log' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset'\n",
+ "05:17:56 DEBUG : adb -s 192.168.1.101:5555 shell ls '/data/local/tmp/devlib-target/*task_r1*.log'\n",
+ "05:17:56 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_r1-2.log' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset'\n",
+ "05:17:56 DEBUG : adb -s 192.168.1.101:5555 shell ls '/data/local/tmp/devlib-target/*task_p1*.log'\n",
+ "05:17:56 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_p1-0.log' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset'\n",
+ "05:17:56 DEBUG : adb -s 192.168.1.101:5555 shell ls '/data/local/tmp/devlib-target/*task_p2*.log'\n",
+ "05:17:56 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/rt-app-task_p2-1.log' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset'\n",
+ "05:17:56 DEBUG : RTApp - Pulling JSON to [/data/lisa_fork/lisa/results/eas_cgroup_cpuset]...\n",
+ "05:17:56 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/simple_00.json' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset'\n",
+ "05:17:57 DEBUG : RTApp - Saving output on [/data/lisa_fork/lisa/results/eas_cgroup_cpuset/output.log]...\n",
+ "05:17:57 DEBUG : WlGen - Workload execution COMPLETED\n",
+ "05:17:57 INFO : #### Read energy consumption: /data/lisa_fork/lisa/results/eas_cgroup_cpuset/energy.json\n",
+ "05:17:57 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "05:17:57 DEBUG : adb -s 192.168.1.101:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "05:17:57 DEBUG : SAMPLE: {'BOARDBIG': {'total': 2.0086490000000197, 'last': 202.545993, 'delta': 2.0086490000000197}, 'BOARDLITTLE': {'total': 1.4672150000000101, 'last': 181.910706, 'delta': 1.4672150000000101}}\n",
+ "05:17:57 DEBUG : HWMon - Energy [ BOARDBIG]: 2.008649\n",
+ "05:17:57 DEBUG : HWMon - Energy [ BOARDLITTLE]: 1.467215\n",
+ "05:17:57 INFO : #### Stop FTrace\n",
+ "05:17:57 DEBUG : Trace CPUFreq frequencies\n",
+ "05:17:57 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "05:17:57 DEBUG : adb -s 192.168.1.101:5555 shell \"echo 'echo TRACE_MARKER_STOP > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "05:17:57 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd stop' | su\"\n",
+ "05:17:57 INFO : #### Save FTrace: /data/lisa_fork/lisa/results/eas_cgroup_cpuset/trace.dat\n",
+ "05:17:57 DEBUG : adb -s 192.168.1.101:5555 shell \"echo '/data/local/tmp/bin/trace-cmd extract -o /data/local/tmp/devlib-target/trace.dat' | su\"\n",
+ "05:17:58 DEBUG : adb -s 192.168.1.101:5555 pull '/data/local/tmp/devlib-target/trace.dat' '/data/lisa_fork/lisa/results/eas_cgroup_cpuset/trace.dat'\n",
+ "05:18:00 INFO : #### Save platform description: /data/lisa_fork/lisa/results/eas_cgroup_cpuset/platform.json\n",
+ "05:18:00 DEBUG : Platform - Dump platform descriptor in [/data/lisa_fork/lisa/results/eas_cgroup_cpuset/platform.json]\n"
+ ]
+ }
+ ],
+ "source": [
+ "logging.info('#### Setup FTrace')\n",
+ "te.ftrace.start()\n",
+ "\n",
+ "logging.info('#### Start energy sampling')\n",
+ "te.emeter.reset()\n",
+ "\n",
+ "logging.info('#### Start RTApp execution')\n",
+ "rtapp.run(out_dir=te.res_dir, cgroup=\"low_load\")\n",
+ "\n",
+ "logging.info('#### Read energy consumption: %s/energy.json', te.res_dir)\n",
+ "(nrg, nrg_file) = te.emeter.report(out_dir=te.res_dir)\n",
+ "\n",
+ "logging.info('#### Stop FTrace')\n",
+ "te.ftrace.stop()\n",
+ "\n",
+ "trace_file = os.path.join(te.res_dir, 'trace.dat')\n",
+ "logging.info('#### Save FTrace: %s', trace_file)\n",
+ "te.ftrace.get_trace(trace_file)\n",
+ "\n",
+ "logging.info('#### Save platform description: %s/platform.json', te.res_dir)\n",
+ "(plt, plt_file) = te.platform_dump(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:18:00 INFO : Energy: /data/lisa_fork/lisa/results/eas_cgroup_cpuset/energy.json\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "{\n",
+ " \"LITTLE\": 1.4672150000000101, \n",
+ " \"big\": 2.0086490000000197\n",
+ "}\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Dump the energy measured for the LITTLE and big clusters\n",
+ "logging.info('Energy: %s', nrg_file)\n",
+ "print json.dumps(nrg, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Trace Inspection"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ "/*\n",
+ " * Copyright 2015-2016 ARM Limited\n",
+ " *\n",
+ " * Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+ " * you may not use this file except in compliance with the License.\n",
+ " * You may obtain a copy of the License at\n",
+ " *\n",
+ " * http://www.apache.org/licenses/LICENSE-2.0\n",
+ " *\n",
+ " * Unless required by applicable law or agreed to in writing, software\n",
+ " * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ " * See the License for the specific language governing permissions and\n",
+ " * limitations under the License.\n",
+ " */\n",
+ "\n",
+ ".d3-tip {\n",
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+ " stroke: #000;\n",
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+ "<div id=\"fig_7bf45148bf4244a9921f89c328dba00e\" class=\"eventplot\">\n",
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+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://labratrevenge.com/d3-tip/javascripts/d3.tip.v0.6.3.js\" -->\n",
+ "\n",
+ " <script>\n",
+ " /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/EventPlot.js\" */\n",
+ " /* TRAPPY_PUBLISH_REMOVE_START */\n",
+ " var req = require.config( {\n",
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+ " paths: {\n",
+ "\n",
+ " \"EventPlot\": '/nbextensions/plotter_scripts/EventPlot/EventPlot',\n",
+ " \"d3-tip\": '/nbextensions/plotter_scripts/EventPlot/d3.tip.v0.6.3',\n",
+ " \"d3-plotter\": '/nbextensions/plotter_scripts/EventPlot/d3.min'\n",
+ " },\n",
+ " waitSeconds: 15,\n",
+ " shim: {\n",
+ " \"d3-plotter\" : {\n",
+ " \"exports\" : \"d3\"\n",
+ " },\n",
+ " \"d3-tip\": [\"d3-plotter\"],\n",
+ " \"EventPlot\": {\n",
+ "\n",
+ " \"deps\": [\"d3-tip\", \"d3-plotter\" ],\n",
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+ " /* TRAPPY_PUBLISH_REMOVE_STOP */\n",
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+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "trappy.plotter.plot_trace(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:18:11 DEBUG : Loading [sched] events from trace in [/data/lisa_fork/lisa/results/eas_cgroup_cpuset]...\n",
+ "05:18:11 DEBUG : Parsing events: ['cpu_frequency', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_switch', 'dequeue_task_fair', 'enqueue_task_fair', 'set_next_entity', 'cpu_capacity', 'sched_blocked_reason', 'sched_boost_cpu', 'sched_boost_task', 'sched_contrib_scale_f', 'sched_cpu_hotplug', 'sched_energy_diff', 'sched_kthread_stop', 'sched_kthread_stop_ret', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_migrate_task', 'sched_move_numa', 'sched_pi_setprio', 'sched_process_exec', 'sched_process_exit', 'sched_process_fork', 'sched_process_free', 'sched_process_wait', 'sched_stat_blocked', 'sched_stat_iowait', 'sched_stat_runtime', 'sched_stat_sleep', 'sched_stat_wait', 'sched_stick_numa', 'sched_swap_numa', 'sched_switch', 'sched_tune_boostgroup_update', 'sched_tune_config', 'sched_tune_tasks_update', 'sched_tune_filter', 'sched_wait_task', 'sched_wake_idle_without_ipi', 'sched_wakeup', 'sched_wakeup_new']\n",
+ "05:18:11 INFO : Parsing FTrace format...\n",
+ "05:18:14 DEBUG : Events found on trace:\n",
+ "05:18:14 DEBUG : - sched_load_avg_task\n",
+ "05:18:14 DEBUG : - sched_wakeup\n",
+ "05:18:14 DEBUG : - cpu_capacity\n",
+ "05:18:14 DEBUG : - sched_wait_task\n",
+ "05:18:14 DEBUG : - sched_wakeup_new\n",
+ "05:18:14 DEBUG : - sched_stat_blocked\n",
+ "05:18:14 DEBUG : - sched_process_exit\n",
+ "05:18:14 DEBUG : - sched_contrib_scale_f\n",
+ "05:18:14 DEBUG : - sched_process_exec\n",
+ "05:18:14 DEBUG : - sched_process_wait\n",
+ "05:18:14 DEBUG : - cpu_frequency\n",
+ "05:18:14 DEBUG : - sched_boost_cpu\n",
+ "05:18:14 DEBUG : - sched_migrate_task\n",
+ "05:18:14 DEBUG : - sched_process_free\n",
+ "05:18:14 DEBUG : - sched_switch\n",
+ "05:18:14 DEBUG : - sched_stat_sleep\n",
+ "05:18:14 DEBUG : - sched_stat_wait\n",
+ "05:18:14 DEBUG : - sched_boost_task\n",
+ "05:18:14 DEBUG : - sched_load_avg_cpu\n",
+ "05:18:14 DEBUG : - sched_stat_runtime\n",
+ "05:18:14 DEBUG : - sched_stat_iowait\n",
+ "05:18:14 DEBUG : - sched_tune_tasks_update\n",
+ "05:18:14 DEBUG : - sched_process_fork\n",
+ "05:18:14 DEBUG : - sched_blocked_reason\n",
+ "05:18:14 WARNING : Cluster Frequency is not coherent! Failure in [cpu_frequency] events at:\n",
+ "05:18:14 WARNING : __comm __cpu __pid cpu frequency\n",
+ "Time \n",
+ "0.172204 shutils 3 2590 0 850000\n",
+ "0.172606 shutils 3 2590 3 575000\n",
+ "0.172728 shutils 3 2590 4 575000\n",
+ "0.172849 shutils 3 2590 5 575000\n",
+ "05:18:14 DEBUG : Lookup dataset for tasks...\n",
+ "05:18:14 INFO : Collected events spans a 11.994 [s] time interval\n",
+ "05:18:14 INFO : Set plots time range to (0.000000, 11.993595)[s]\n",
+ "05:18:14 DEBUG : Registering [<trace.Trace object at 0x7fc849ba4d50>] local data frames\n",
+ "05:18:14 DEBUG : functions_stats\n",
+ "05:18:14 DEBUG : trace_event\n",
+ "05:18:14 DEBUG : Analysis - Analysis: /data/lisa_fork/lisa/libs/utils/analysis\n",
+ "05:18:14 DEBUG : Analysis - Syspath: ['/data/lisa_fork/lisa/libs/utils/analysis', '/data/lisa_fork/lisa/libs/utils/analysis', '', '/data/lisa_fork/lisa/libs/bart', '/data/lisa_fork/lisa/libs/trappy', '/data/lisa_fork/lisa/libs/devlib', '/data/lisa_fork/lisa/libs/wlgen', '/data/lisa_fork/lisa/libs/utils', '/data/lisa_fork/lisa/ipynb/workshop', '/usr/lib/python2.7', '/usr/lib/python2.7/plat-x86_64-linux-gnu', '/usr/lib/python2.7/lib-tk', '/usr/lib/python2.7/lib-old', '/usr/lib/python2.7/lib-dynload', '/usr/local/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages', '/usr/local/lib/python2.7/dist-packages/IPython/extensions', '/home/zhifei/.ipython']\n",
+ "05:18:14 INFO : Registering trace analysis modules:\n",
+ "05:18:14 DEBUG : Analysis - Filename: tasks_analysis\n",
+ "05:18:14 DEBUG : Registering [<tasks_analysis.TasksAnalysis object at 0x7fc849d6b390>] local data frames\n",
+ "05:18:14 DEBUG : rt_tasks\n",
+ "05:18:14 DEBUG : top_big_tasks\n",
+ "05:18:14 DEBUG : top_wakeup_tasks\n",
+ "05:18:14 DEBUG : trace_event\n",
+ "05:18:14 INFO : tasks\n",
+ "05:18:14 DEBUG : Analysis - Filename: idle_analysis\n",
+ "05:18:14 DEBUG : Registering [<idle_analysis.IdleAnalysis object at 0x7fc849d6b3d0>] local data frames\n",
+ "05:18:14 DEBUG : cluster_idle_state_residency\n",
+ "05:18:14 DEBUG : cpu_idle_state_residency\n",
+ "05:18:14 DEBUG : trace_event\n",
+ "05:18:14 INFO : idle\n",
+ "05:18:14 DEBUG : Analysis - Filename: latency_analysis\n",
+ "05:18:14 DEBUG : Registering [<latency_analysis.LatencyAnalysis object at 0x7fc849d6b890>] local data frames\n",
+ "05:18:14 DEBUG : latency_df\n",
+ "05:18:14 DEBUG : latency_preemption_df\n",
+ "05:18:14 DEBUG : latency_wakeup_df\n",
+ "05:18:14 DEBUG : trace_event\n",
+ "05:18:14 INFO : latency\n",
+ "05:18:14 DEBUG : Analysis - Filename: functions_analysis\n",
+ "05:18:14 DEBUG : Registering [<functions_analysis.FunctionsAnalysis object at 0x7fc849d6b290>] local data frames\n",
+ "05:18:14 DEBUG : trace_event\n",
+ "05:18:14 INFO : functions\n",
+ "05:18:14 DEBUG : Analysis - Filename: frequency_analysis\n",
+ "05:18:14 DEBUG : Registering [<frequency_analysis.FrequencyAnalysis object at 0x7fc849d6bed0>] local data frames\n",
+ "05:18:14 DEBUG : cluster_frequency_residency\n",
+ "05:18:14 DEBUG : cpu_frequency_residency\n",
+ "05:18:14 DEBUG : trace_event\n",
+ "05:18:14 INFO : frequency\n",
+ "05:18:14 DEBUG : Analysis - Filename: status_analysis\n",
+ "05:18:14 DEBUG : Registering [<status_analysis.StatusAnalysis object at 0x7fc849d6b650>] local data frames\n",
+ "05:18:14 DEBUG : overutilized\n",
+ "05:18:14 DEBUG : trace_event\n",
+ "05:18:14 INFO : status\n",
+ "05:18:14 DEBUG : Analysis - Filename: eas_analysis\n",
+ "05:18:14 DEBUG : Registering [<eas_analysis.EasAnalysis object at 0x7fc849d6b7d0>] local data frames\n",
+ "05:18:14 DEBUG : trace_event\n",
+ "05:18:14 INFO : eas\n",
+ "05:18:14 DEBUG : Analysis - Filename: cpus_analysis\n",
+ "05:18:14 DEBUG : Registering [<cpus_analysis.CpusAnalysis object at 0x7fc849d6b750>] local data frames\n",
+ "05:18:14 DEBUG : context_switches\n",
+ "05:18:14 DEBUG : trace_event\n",
+ "05:18:14 INFO : cpus\n"
+ ]
+ },
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[4.7701120000001538, 4.8515720000004876], [4.8701120000005176, 4.9495409999999538], [4.9701139999997395, 5.0512950000002093], [5.0701120000003357, 5.1512350000002698], [5.1701180000000022, 5.2535539999998946], [5.2701130000004923, 5.3504750000001877], [5.3699619999997594, 5.3700470000003406], [5.370256000000154, 5.3704340000003867]], \"4\": [[0.36979000000064843, 0.36988600000040606]]}}});\n",
+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "events_to_parse = my_tests_conf['ftrace']['events']\n",
+ "\n",
+ "trace_low = Trace(plt, te.res_dir, events_to_parse)\n",
+ "\n",
+ "ftrace_low = trace_low.ftrace\n",
+ "\n",
+ "trappy.plotter.plot_trace(ftrace_low, execnames=['task_p1', \"task_p2\",\n",
+ " \"task_r1\", \"task_r2\", \n",
+ " ])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "05:18:15 DEBUG : Found rt-app logfile for task [task_r2]\n",
+ "05:18:15 DEBUG : Found rt-app logfile for task [task_r20]\n",
+ "05:18:15 DEBUG : Found rt-app logfile for task [task_p2]\n",
+ "05:18:15 DEBUG : Found rt-app logfile for task [task_p1]\n",
+ "05:18:15 DEBUG : Found rt-app logfile for task [task_r1]\n",
+ "05:18:15 DEBUG : Loading dataframe for task [task_r2]...\n",
+ "05:18:15 DEBUG : Loading dataframe for task [task_r20]...\n",
+ "05:18:15 DEBUG : Loading dataframe for task [task_p1]...\n",
+ "05:18:15 DEBUG : Loading dataframe for task [task_r1]...\n",
+ "05:18:15 DEBUG : Loading dataframe for task [task_p2]...\n",
+ "05:18:15 INFO : PerfIndex, Task [task_r2] avg: 0.54, std: 0.19\n",
+ "05:18:16 INFO : PerfIndex, Task [task_r20] avg: -410.97, std: 841.39\n",
+ "05:18:17 INFO : PerfIndex, Task [task_p1] avg: 0.79, std: 0.02\n",
+ "05:18:17 INFO : PerfIndex, Task [task_r1] avg: 0.94, std: 0.01\n",
+ "05:18:18 INFO : PerfIndex, Task [task_p2] avg: 0.95, std: 0.01\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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zm9+8wrqf/OQn2WijjZgwYQI77LADN91009LHXn31VU4++WQ23XTTpY8vWrRo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\nAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc849b9d810>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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7uSyPJElSTf2Y09nOsmxTc3opJ3bNTldAU8zQ0KrboidGEkmSJEnq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\nS61du1aStHLlyo32V31/cHBQxx9/vD73uc+NtMe2VqxYoRkzZmjSpEm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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc849cba850>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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QxR5scfOMnec+1wI5uQAAAAAGJYYpFxM9uQAAAKvQxRdfrMmTJ/d7O0OGDNFj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\nvDzefsfzVNGX92xpn80iYvh+wzNoJHLj9ensyQJn5iWMU8dc1NmOmTH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PAAAA\n2ElEQVSlwKM95ipJkjSWHJMrSePpvaraCJDkC+CVtn0tcE57fz5wXJKtT4T3SbJ3Vf3Wa6aSJElj\nxCJXksbTH5Peb5n0eQt/XbsDnF5Vm/pMTJIkaZzZrixJ4yP/vct2XgFu23ZwcvLcpiNJkrTwWORK\n0viYarr7qbbfBpzSJqP6BLhxftKSJElaOFxCSJIkSZI0GD7JlSRJkiQNhkWuJEmSJGkwLHIlSZIk\nSYNhkStJkiRJGgyLXEmSJEnSYFjkSpIkSZIGwyJXkiRJkjQYFrmSJEmSpMH4E8zDqjxMaL1hAAAA\nAElFTkSuQmCC\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc850a53490>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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MZ/Bd8VQ9t7LKeafm5Lau/kYwyJUkSVpO9957LxHB/vvvT0Sw2mqrsccee/D3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\nfXxzx/xvktZI2rfY/v+k0WeTl0nas83yx4d935Mj4m9GWHesfq9mcz2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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc849b82dd0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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sYo9b3CZjN7nOwzDbUwi1h7NQSpIkSa3kMGW1QTdqcq1dkiSNImtypYGsyZXG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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc851a8cdd0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "pa_low = PerfAnalysis( te.res_dir )\n",
+ "\n",
+ "for task in pa_low.tasks():\n",
+ " pa_low.plotPerf(task, \"CGroup low_load\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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m3Xmn63HptJ7wfBs2iMe337btffscl3FbX3Q9Ydek9V2VsCVo/PjxuO+++7Bu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\ncc9YzeSnWCmx4k2C9t8fkM2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TQpDJvpHH3N//Lp7L9271anH8PvBA5HsbColydDe26B8r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Ow7LeG7b7nF+Rp0wo5OOHriCeJDhhDnvjpePnQuhKD1PNpWqi0ae/YkrjRBOTkyioyCTnPkAIsN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\nZ1YceSSSpR50EM795Cdx37PP7o6De1YFIBGrIFGhjPdDhx2G/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Cv1X/7SOxcuJkcZKCSJ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vuQdlphJX1NbCAsSWnSTxCr76PmubsnCJgJVMxG7d4spsLdpvP5Qfesj+3rYtPoZD4bPocRJ1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\nRUGQiIiIiIi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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc85017d050>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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irqRiEURERERERFphEWQTOvXdZK7OpFOuRDrSaR9nrs7EXEnFIoiIiIiIiLTC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3ONrKxZlqxg+XzAuefK/oMGhX8Osdih2rapyzYAPPaYu1dFKOhUwXXryNZ/B+0gsl1c7HIYm+r+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\nAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc852f40510>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "trappy.LinePlot(ftrace_low,\n",
+ " signals=[\n",
+ " # \"sched_load_avg_cpu:util_avg\",\n",
+ " \"sched_load_avg_cpu:load_avg\",\n",
+ " \"cpu_capacity:capacity\"\n",
+ " ],\n",
+ " pivot=\"cpu\",\n",
+ " filters={\"cpu\": [0,1]},\n",
+ " marker = '+',\n",
+ " drawstyle='steps-post',\n",
+ " title=\"low_load\",\n",
+ " ylim=(0, 1100)).view()\n",
+ "\n",
+ "trappy.LinePlot(ftrace_low,\n",
+ " signals=[\n",
+ " \"sched_load_avg_cpu:util_avg\",\n",
+ " # \"sched_load_avg_cpu:load_avg\",\n",
+ " \"cpu_capacity:capacity\"\n",
+ " ],\n",
+ " pivot=\"cpu\",\n",
+ " filters={\"cpu\": [2,3]},\n",
+ " marker = '+',\n",
+ " drawstyle='steps-post',\n",
+ " title=\"low_load\",\n",
+ " ylim=(0, 1100)).view()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "celltoolbar": "Raw Cell Format",
+ "kernelspec": {
+ "display_name": "Python 2",
+ "language": "python",
+ "name": "python2"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 2
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython2",
+ "version": "2.7.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/ipynb/workshop/fork_migration.ipynb b/ipynb/workshop/fork_migration.ipynb
new file mode 100644
index 000000000..9cdadd3df
--- /dev/null
+++ b/ipynb/workshop/fork_migration.ipynb
@@ -0,0 +1,1557 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Fork Migration"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This notebook demonstrates the workload behaviour when new task is forked"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "import logging\n",
+ "reload(logging)\n",
+ "logging.basicConfig(\n",
+ " format='%(asctime)-9s %(levelname)-8s: %(message)s',\n",
+ " datefmt='%I:%M:%S')\n",
+ "\n",
+ "# Enable logging at INFO level\n",
+ "logging.getLogger().setLevel(logging.INFO)\n",
+ "# Comment the follwing line to disable devlib debugging statements\n",
+ "# logging.getLogger('ssh').setLevel(logging.DEBUG)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Populating the interactive namespace from numpy and matplotlib\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Generate plots inline\n",
+ "%pylab inline\n",
+ "\n",
+ "import json\n",
+ "import os\n",
+ "import subprocess\n",
+ "\n",
+ "# Support to access the remote target\n",
+ "import devlib\n",
+ "from env import TestEnv\n",
+ "\n",
+ "# Support for trace events analysis\n",
+ "from trace import Trace\n",
+ "from trace_analysis import TraceAnalysis\n",
+ "\n",
+ "# Support to configure and run RTApp based workloads\n",
+ "from wlgen import RTA\n",
+ "\n",
+ "# Support for performance analysis of RTApp workloads\n",
+ "from perf_analysis import PerfAnalysis\n",
+ "\n",
+ "# Suport for FTrace events parsing and visualization\n",
+ "import trappy"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Test environment setup"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "# Setup a target configuration\n",
+ "my_target_conf = {\n",
+ " \n",
+ " # Define the kind of target platform to use for the experiments\n",
+ " \"platform\" : 'android', # Linux system, valid other options are:\n",
+ " # android - access via ADB\n",
+ " # linux - access via SSH\n",
+ " # host - direct access\n",
+ " \n",
+ " # Preload settings for a specific target\n",
+ " \"board\" : 'juno', # load JUNO specific settings, e.g.\n",
+ " # - HWMON based energy sampling\n",
+ " # - Juno energy model\n",
+ " # valid options are:\n",
+ " # - juno - JUNO Development Board\n",
+ " # - tc2 - TC2 Development Board\n",
+ " # - oak - Mediatek MT63xx based target\n",
+ "\n",
+ " # Define devlib module to load\n",
+ " #\"modules\" : [\n",
+ " # 'bl', # enable big.LITTLE support\n",
+ " # 'cpufreq' # enable CPUFreq support\n",
+ " #],\n",
+ "\n",
+ " # Account to access the remote target\n",
+ " \"host\" : '10.169.38.40',\n",
+ " \"username\" : 'root',\n",
+ " \"password\" : '',\n",
+ "\n",
+ " # Comment the following line to force rt-app calibration on your target\n",
+ " \"rtapp-calib\" : {\n",
+ " '0': 361, '1': 138, '2': 138, '3': 352, '4': 360, '5': 353\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "# Setup the required Test Environment supports\n",
+ "my_tests_conf = {\n",
+ " \n",
+ " # Binary tools required to run this experiment\n",
+ " # These tools must be present in the tools/ folder for the architecture\n",
+ " \"tools\" : ['rt-app', 'taskset', 'trace-cmd'],\n",
+ " \n",
+ " # FTrace events end buffer configuration\n",
+ " \"ftrace\" : {\n",
+ " \"events\" : [\n",
+ " \"cpu_frequency\",\n",
+ " \"sched_load_avg_cpu\",\n",
+ " \"sched_load_avg_task\",\n",
+ " \"sched_switch\",\n",
+ " 'dequeue_task_fair', \n",
+ " 'enqueue_task_fair', \n",
+ " 'set_next_entity',\n",
+ "\n",
+ " \n",
+ " \"cpu_capacity\",\n",
+ " \n",
+ " #/sys/kernel/debug/tracing/events/sched\n",
+ " \"sched_blocked_reason\",\n",
+ " \"sched_boost_cpu\",\n",
+ " \"sched_boost_task\",\n",
+ " \"sched_contrib_scale_f\",\n",
+ " \"sched_cpu_hotplug\",\n",
+ " \"sched_energy_diff\",\n",
+ " \"sched_kthread_stop\",\n",
+ " \"sched_kthread_stop_ret\",\n",
+ " \"sched_load_avg_cpu\",\n",
+ " \"sched_load_avg_task\",\n",
+ " \"sched_migrate_task\",\n",
+ " \"sched_move_numa\",\n",
+ " \"sched_pi_setprio\",\n",
+ " \"sched_process_exec\",\n",
+ " \"sched_process_exit\",\n",
+ " \"sched_process_fork\",\n",
+ " \"sched_process_free\",\n",
+ " \"sched_process_wait\",\n",
+ " \"sched_stat_blocked\",\n",
+ " \"sched_stat_iowait\",\n",
+ " \"sched_stat_runtime\",\n",
+ " \"sched_stat_sleep\",\n",
+ " \"sched_stat_wait\",\n",
+ " \"sched_stick_numa\",\n",
+ " \"sched_swap_numa\",\n",
+ " \"sched_switch\",\n",
+ " \"sched_tune_boostgroup_update\",\n",
+ " \"sched_tune_config\",\n",
+ " \"sched_tune_tasks_update\",\n",
+ " \"sched_tune_filter\",\n",
+ " \"sched_wait_task\",\n",
+ " \"sched_wake_idle_without_ipi\",\n",
+ " \"sched_wakeup\",\n",
+ " \"sched_wakeup_new\",\n",
+ " \n",
+ " \n",
+ " ],\n",
+ " \"buffsize\" : 10240\n",
+ " },\n",
+ " \"results_dir\" : \"fork_migration\",\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {
+ "collapsed": false,
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:20:12 INFO : Target - Using base path: /data/lisa_fork/lisa\n",
+ "03:20:12 INFO : Target - Loading custom (inline) target configuration\n",
+ "03:20:12 INFO : Target - Loading custom (inline) test configuration\n",
+ "03:20:12 INFO : Target - External tools using:\n",
+ "03:20:12 INFO : Target - ANDROID_HOME: /home/zhifei/zyang/android-sdk-linux\n",
+ "03:20:12 INFO : Target - CATAPULT_HOME: /data/lisa_fork/lisa/tools/catapult\n",
+ "03:20:12 INFO : Target - Devlib modules to load: ['bl', 'hwmon', 'cpufreq']\n",
+ "03:20:12 INFO : Target - Connecting Android target [10.169.38.40:5555]\n",
+ "03:20:12 INFO : Target - Connection settings:\n",
+ "03:20:12 INFO : Target - {'device': '10.169.38.40:5555'}\n",
+ "03:20:14 INFO : Target - Initializing target workdir:\n",
+ "03:20:14 INFO : Target - /data/local/tmp/devlib-target\n",
+ "03:20:20 INFO : Target - Topology:\n",
+ "03:20:20 INFO : Target - [[0, 3, 4, 5], [1, 2]]\n",
+ "03:20:21 INFO : Platform - Loading default EM:\n",
+ "03:20:21 INFO : Platform - /data/lisa_fork/lisa/libs/utils/platforms/juno.json\n",
+ "03:20:22 WARNING : Event [dequeue_task_fair] not available for tracing\n",
+ "03:20:22 WARNING : Event [enqueue_task_fair] not available for tracing\n",
+ "03:20:22 WARNING : Event [set_next_entity] not available for tracing\n",
+ "03:20:22 INFO : FTrace - Enabled tracepoints:\n",
+ "03:20:22 INFO : FTrace - cpu_frequency\n",
+ "03:20:22 INFO : FTrace - sched_load_avg_cpu\n",
+ "03:20:22 INFO : FTrace - sched_load_avg_task\n",
+ "03:20:22 INFO : FTrace - sched_switch\n",
+ "03:20:22 INFO : FTrace - dequeue_task_fair\n",
+ "03:20:22 INFO : FTrace - enqueue_task_fair\n",
+ "03:20:22 INFO : FTrace - set_next_entity\n",
+ "03:20:22 INFO : FTrace - cpu_capacity\n",
+ "03:20:22 INFO : FTrace - sched_blocked_reason\n",
+ "03:20:22 INFO : FTrace - sched_boost_cpu\n",
+ "03:20:22 INFO : FTrace - sched_boost_task\n",
+ "03:20:22 INFO : FTrace - sched_contrib_scale_f\n",
+ "03:20:22 INFO : FTrace - sched_cpu_hotplug\n",
+ "03:20:22 INFO : FTrace - sched_energy_diff\n",
+ "03:20:22 INFO : FTrace - sched_kthread_stop\n",
+ "03:20:22 INFO : FTrace - sched_kthread_stop_ret\n",
+ "03:20:22 INFO : FTrace - sched_load_avg_cpu\n",
+ "03:20:22 INFO : FTrace - sched_load_avg_task\n",
+ "03:20:22 INFO : FTrace - sched_migrate_task\n",
+ "03:20:22 INFO : FTrace - sched_move_numa\n",
+ "03:20:22 INFO : FTrace - sched_pi_setprio\n",
+ "03:20:22 INFO : FTrace - sched_process_exec\n",
+ "03:20:22 INFO : FTrace - sched_process_exit\n",
+ "03:20:22 INFO : FTrace - sched_process_fork\n",
+ "03:20:22 INFO : FTrace - sched_process_free\n",
+ "03:20:22 INFO : FTrace - sched_process_wait\n",
+ "03:20:22 INFO : FTrace - sched_stat_blocked\n",
+ "03:20:22 INFO : FTrace - sched_stat_iowait\n",
+ "03:20:22 INFO : FTrace - sched_stat_runtime\n",
+ "03:20:22 INFO : FTrace - sched_stat_sleep\n",
+ "03:20:22 INFO : FTrace - sched_stat_wait\n",
+ "03:20:22 INFO : FTrace - sched_stick_numa\n",
+ "03:20:22 INFO : FTrace - sched_swap_numa\n",
+ "03:20:22 INFO : FTrace - sched_switch\n",
+ "03:20:22 INFO : FTrace - sched_tune_boostgroup_update\n",
+ "03:20:22 INFO : FTrace - sched_tune_config\n",
+ "03:20:22 INFO : FTrace - sched_tune_tasks_update\n",
+ "03:20:22 INFO : FTrace - sched_tune_filter\n",
+ "03:20:22 INFO : FTrace - sched_wait_task\n",
+ "03:20:22 INFO : FTrace - sched_wake_idle_without_ipi\n",
+ "03:20:22 INFO : FTrace - sched_wakeup\n",
+ "03:20:22 INFO : FTrace - sched_wakeup_new\n",
+ "03:20:22 WARNING : Target - Using configuration provided RTApp calibration\n",
+ "03:20:22 INFO : Target - Using RT-App calibration values:\n",
+ "03:20:22 INFO : Target - {\"0\": 361, \"1\": 138, \"2\": 138, \"3\": 352, \"4\": 360, \"5\": 353}\n",
+ "03:20:22 WARNING : TestEnv - Wipe previous contents of the results folder:\n",
+ "03:20:22 WARNING : TestEnv - /data/lisa_fork/lisa/results/fork_migration\n",
+ "03:20:22 INFO : HWMon - Scanning for HWMON channels, may take some time...\n",
+ "03:20:22 INFO : HWMon - Channels selected for energy sampling:\n",
+ "03:20:22 INFO : HWMon - BOARDBIG_energy\n",
+ "03:20:22 INFO : HWMon - BOARDLITTLE_energy\n",
+ "03:20:22 INFO : TestEnv - Set results folder to:\n",
+ "03:20:22 INFO : TestEnv - /data/lisa_fork/lisa/results/fork_migration\n",
+ "03:20:22 INFO : TestEnv - Experiment results available also in:\n",
+ "03:20:22 INFO : TestEnv - /data/lisa_fork/lisa/results_latest\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Support to access the remote target\n",
+ "import devlib\n",
+ "from env import TestEnv\n",
+ "\n",
+ "# Initialize a test environment using:\n",
+ "# the provided target configuration (my_target_conf)\n",
+ "# the provided test configuration (my_test_conf)\n",
+ "te = TestEnv(target_conf=my_target_conf, test_conf=my_tests_conf)\n",
+ "target = te.target"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Workload configuration"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:21:00 INFO : Target ABI: arm64, CPus: ['A53', 'A57', 'A57', 'A53', 'A53', 'A53']\n",
+ "03:21:00 INFO : Target current governor: sched\n",
+ "03:21:00 INFO : Target big CPU max CPUfreq:850000\n",
+ "\t\t Target big CPU current CPUfreq: 850000\n",
+ "03:21:00 INFO : Target LITTLE CPU max CPUfreq:1100000 \n",
+ "\t\t Target LITTLE CPU current CPUfreq: 450000\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Set Sched governor\n",
+ "#\n",
+ "# For Juno big/LITTLE CPUs\n",
+ "#\n",
+ "logging.info(\"Target ABI: %s, CPus: %s\",\n",
+ " target.abi,\n",
+ " target.cpuinfo.cpu_names)\n",
+ "\n",
+ "target.cpufreq.set_all_governors('sched')\n",
+ "\n",
+ "logging.info(\"Target current governor: %s\",\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n",
+ " )\n",
+ "logging.info(\"Target big CPU max CPUfreq:%s\\n\\t\\t Target big CPU current CPUfreq: %s\", \n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_max_freq\"),\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_cur_freq\")\n",
+ " )\n",
+ "\n",
+ "logging.info(\"Target LITTLE CPU max CPUfreq:%s \\n\\t\\t Target LITTLE CPU current CPUfreq: %s\", \n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu1/cpufreq/scaling_max_freq\"),\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu1/cpufreq/scaling_cur_freq\")\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:21:05 INFO : WlGen - Setup new workload simple\n",
+ "03:21:05 DEBUG : WlGen - Setup step [postrun] callback to [__postrun] function\n",
+ "03:21:05 DEBUG : WlGen - Configuring a profile-based workload...\n",
+ "03:21:05 DEBUG : RTApp - ref on big cpu: 1\n",
+ "03:21:05 INFO : RTApp - Workload duration defined by longest task\n",
+ "03:21:05 INFO : RTApp - Default policy: SCHED_OTHER\n",
+ "03:21:05 INFO : RTApp - ------------------------\n",
+ "03:21:05 INFO : RTApp - task [delay_starter_1], sched: using default policy\n",
+ "03:21:05 INFO : RTApp - | start delay: 1.000000 [s]\n",
+ "03:21:05 INFO : RTApp - | calibration CPU: 1\n",
+ "03:21:05 INFO : RTApp - | loops count: 1\n",
+ "03:21:05 INFO : RTApp - + phase_000001: batch 5.000000 [s]\n",
+ "03:21:05 INFO : RTApp - ------------------------\n",
+ "03:21:05 INFO : RTApp - task [delay_starter_2], sched: using default policy\n",
+ "03:21:05 INFO : RTApp - | start delay: 1.000000 [s]\n",
+ "03:21:05 INFO : RTApp - | calibration CPU: 1\n",
+ "03:21:05 INFO : RTApp - | loops count: 1\n",
+ "03:21:05 INFO : RTApp - + phase_000001: batch 5.000000 [s]\n",
+ "03:21:05 INFO : RTApp - ------------------------\n",
+ "03:21:05 INFO : RTApp - task [early_starter_1], sched: using default policy\n",
+ "03:21:05 INFO : RTApp - | calibration CPU: 1\n",
+ "03:21:05 INFO : RTApp - | loops count: 1\n",
+ "03:21:05 INFO : RTApp - + phase_000001: batch 5.000000 [s]\n",
+ "03:21:05 INFO : RTApp - ------------------------\n",
+ "03:21:05 INFO : RTApp - task [early_starter_2], sched: using default policy\n",
+ "03:21:05 INFO : RTApp - | calibration CPU: 1\n",
+ "03:21:05 INFO : RTApp - | loops count: 1\n",
+ "03:21:05 INFO : RTApp - + phase_000001: batch 5.000000 [s]\n",
+ "03:21:05 DEBUG : adb -s 10.169.38.40:5555 push 'simple_00.json' '/data/local/tmp/devlib-target'\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Support to configure and run RTApp based workloads\n",
+ "from wlgen import RTA, Periodic, Ramp\n",
+ "\n",
+ "# Create a new RTApp workload generator using the calibration values\n",
+ "# reported by the TestEnv module\n",
+ "rtapp = RTA(target, 'simple', calibration=te.calibration())\n",
+ "\n",
+ "# Configure this RTApp instance to:\n",
+ "rtapp.conf(\n",
+ " # 1. generate a \"profile based\" set of tasks\n",
+ " kind='profile',\n",
+ " \n",
+ " # 2. define the \"profile\" of each task\n",
+ " params={\n",
+ " \n",
+ " \"early_starter_1\" : Periodic(\n",
+ " period_ms=10,\n",
+ " duty_cycle_pct=100,\n",
+ " duration_s=5,\n",
+ " ).get(),\n",
+ "\n",
+ " \"early_starter_2\" : Periodic(\n",
+ " period_ms=10,\n",
+ " duty_cycle_pct=100,\n",
+ " duration_s=5,\n",
+ " ).get(),\n",
+ "\n",
+ " \n",
+ " \"delay_starter_1\" : Periodic(\n",
+ " period_ms=10,\n",
+ " duty_cycle_pct=100,\n",
+ " duration_s=5,\n",
+ " delay_s=1,\n",
+ " ).get(),\n",
+ " \n",
+ " \"delay_starter_2\" : Periodic(\n",
+ " period_ms=10,\n",
+ " duty_cycle_pct=100,\n",
+ " duration_s=5,\n",
+ " delay_s=1,\n",
+ " ).get(),\n",
+ "\n",
+ "# \"delay_starter_3\" : Periodic(\n",
+ "# period_ms=10,\n",
+ "# duty_cycle_pct=100,\n",
+ "# duration_s=5,\n",
+ "# delay_s=2,\n",
+ "# ).get(),\n",
+ "# \n",
+ "# \"delay_starter_4\" : Periodic(\n",
+ "# period_ms=10,\n",
+ "# duty_cycle_pct=100,\n",
+ "# duration_s=5,\n",
+ "# delay_s=2,\n",
+ "# ).get(),\n",
+ " },\n",
+ " \n",
+ " # 4. use this folder for task logfiles\n",
+ " run_dir=target.working_directory\n",
+ " \n",
+ ");"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Workload execution"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:21:14 INFO : #### Setup FTrace\n",
+ "03:21:14 DEBUG : adb -s 10.169.38.40:5555 shell \"echo 'echo 10240 > '\\\\''/sys/kernel/debug/tracing/buffer_size_kb'\\\\''' | su\"\n",
+ "03:21:14 DEBUG : adb -s 10.169.38.40:5555 shell \"cat '/sys/kernel/debug/tracing/buffer_size_kb'\"\n",
+ "03:21:14 DEBUG : adb -s 10.169.38.40:5555 shell \"echo '/data/local/tmp/bin/trace-cmd reset' | su\"\n",
+ "03:21:15 DEBUG : adb -s 10.169.38.40:5555 shell \"echo '/data/local/tmp/bin/trace-cmd start -e cpu_frequency -e sched_load_avg_cpu -e sched_load_avg_task -e sched_switch -e cpu_capacity -e sched_blocked_reason -e sched_boost_cpu -e sched_boost_task -e sched_contrib_scale_f -e sched_cpu_hotplug -e sched_energy_diff -e sched_kthread_stop -e sched_kthread_stop_ret -e sched_load_avg_cpu -e sched_load_avg_task -e sched_migrate_task -e sched_move_numa -e sched_pi_setprio -e sched_process_exec -e sched_process_exit -e sched_process_fork -e sched_process_free -e sched_process_wait -e sched_stat_blocked -e sched_stat_iowait -e sched_stat_runtime -e sched_stat_sleep -e sched_stat_wait -e sched_stick_numa -e sched_swap_numa -e sched_switch -e sched_tune_boostgroup_update -e sched_tune_config -e sched_tune_tasks_update -e sched_tune_filter -e sched_wait_task -e sched_wake_idle_without_ipi -e sched_wakeup -e sched_wakeup_new' | su\"\n",
+ "03:21:16 DEBUG : adb -s 10.169.38.40:5555 shell \"echo 'echo TRACE_MARKER_START > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "03:21:16 DEBUG : Trace CPUFreq frequencies\n",
+ "03:21:16 DEBUG : adb -s 10.169.38.40:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "03:21:16 INFO : #### Start energy sampling\n",
+ "03:21:16 DEBUG : adb -s 10.169.38.40:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "03:21:16 DEBUG : adb -s 10.169.38.40:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "03:21:16 DEBUG : SAMPLE: {'BOARDBIG': {'total': 0, 'last': 1850.181043, 'delta': 0}, 'BOARDLITTLE': {'total': 0, 'last': 2520.48283, 'delta': 0}}\n",
+ "03:21:16 DEBUG : RESET: {'BOARDBIG': {'total': 0, 'last': 1850.181043, 'delta': 0}, 'BOARDLITTLE': {'total': 0, 'last': 2520.48283, 'delta': 0}}\n",
+ "03:21:16 INFO : #### Start RTApp execution\n",
+ "03:21:16 INFO : WlGen - Workload execution START:\n",
+ "03:21:16 INFO : WlGen - /data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\n",
+ "03:21:16 DEBUG : adb -s 10.169.38.40:5555 shell \"/data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\"\n",
+ "03:21:25 DEBUG : WlGen - Callback [postrun]...\n",
+ "03:21:25 DEBUG : RTApp - Pulling logfiles to [/data/lisa_fork/lisa/results/fork_migration]...\n",
+ "03:21:25 DEBUG : adb -s 10.169.38.40:5555 shell ls '/data/local/tmp/devlib-target/*delay_starter_2*.log'\n",
+ "03:21:25 DEBUG : adb -s 10.169.38.40:5555 pull '/data/local/tmp/devlib-target/rt-app-delay_starter_2-1.log' '/data/lisa_fork/lisa/results/fork_migration'\n",
+ "03:21:25 DEBUG : adb -s 10.169.38.40:5555 shell ls '/data/local/tmp/devlib-target/*delay_starter_1*.log'\n",
+ "03:21:26 DEBUG : adb -s 10.169.38.40:5555 pull '/data/local/tmp/devlib-target/rt-app-delay_starter_1-0.log' '/data/lisa_fork/lisa/results/fork_migration'\n",
+ "03:21:26 DEBUG : adb -s 10.169.38.40:5555 shell ls '/data/local/tmp/devlib-target/*early_starter_1*.log'\n",
+ "03:21:26 DEBUG : adb -s 10.169.38.40:5555 pull '/data/local/tmp/devlib-target/rt-app-early_starter_1-2.log' '/data/lisa_fork/lisa/results/fork_migration'\n",
+ "03:21:26 DEBUG : adb -s 10.169.38.40:5555 shell ls '/data/local/tmp/devlib-target/*early_starter_2*.log'\n",
+ "03:21:26 DEBUG : adb -s 10.169.38.40:5555 pull '/data/local/tmp/devlib-target/rt-app-early_starter_2-3.log' '/data/lisa_fork/lisa/results/fork_migration'\n",
+ "03:21:26 DEBUG : RTApp - Pulling JSON to [/data/lisa_fork/lisa/results/fork_migration]...\n",
+ "03:21:26 DEBUG : adb -s 10.169.38.40:5555 pull '/data/local/tmp/devlib-target/simple_00.json' '/data/lisa_fork/lisa/results/fork_migration'\n",
+ "03:21:27 DEBUG : RTApp - Saving output on [/data/lisa_fork/lisa/results/fork_migration/output.log]...\n",
+ "03:21:27 DEBUG : WlGen - Workload execution COMPLETED\n",
+ "03:21:27 INFO : #### Read energy consumption: /data/lisa_fork/lisa/results/fork_migration/energy.json\n",
+ "03:21:27 DEBUG : adb -s 10.169.38.40:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "03:21:27 DEBUG : adb -s 10.169.38.40:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "03:21:27 DEBUG : SAMPLE: {'BOARDBIG': {'total': 13.216229999999996, 'last': 1863.397273, 'delta': 13.216229999999996}, 'BOARDLITTLE': {'total': 2.500926000000163, 'last': 2522.983756, 'delta': 2.500926000000163}}\n",
+ "03:21:27 DEBUG : HWMon - Energy [ BOARDBIG]: 13.216230\n",
+ "03:21:27 DEBUG : HWMon - Energy [ BOARDLITTLE]: 2.500926\n",
+ "03:21:27 INFO : #### Stop FTrace\n",
+ "03:21:27 DEBUG : Trace CPUFreq frequencies\n",
+ "03:21:27 DEBUG : adb -s 10.169.38.40:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "03:21:27 DEBUG : adb -s 10.169.38.40:5555 shell \"echo 'echo TRACE_MARKER_STOP > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "03:21:27 DEBUG : adb -s 10.169.38.40:5555 shell \"echo '/data/local/tmp/bin/trace-cmd stop' | su\"\n",
+ "03:21:27 INFO : #### Save FTrace: /data/lisa_fork/lisa/results/fork_migration/trace.dat\n",
+ "03:21:27 DEBUG : adb -s 10.169.38.40:5555 shell \"echo '/data/local/tmp/bin/trace-cmd extract -o /data/local/tmp/devlib-target/trace.dat' | su\"\n",
+ "03:21:28 DEBUG : adb -s 10.169.38.40:5555 pull '/data/local/tmp/devlib-target/trace.dat' '/data/lisa_fork/lisa/results/fork_migration/trace.dat'\n",
+ "03:21:30 INFO : #### Save platform description: /data/lisa_fork/lisa/results/fork_migration/platform.json\n",
+ "03:21:30 DEBUG : Platform - Dump platform descriptor in [/data/lisa_fork/lisa/results/fork_migration/platform.json]\n"
+ ]
+ }
+ ],
+ "source": [
+ "logging.info('#### Setup FTrace')\n",
+ "te.ftrace.start()\n",
+ "\n",
+ "logging.info('#### Start energy sampling')\n",
+ "te.emeter.reset()\n",
+ "\n",
+ "logging.info('#### Start RTApp execution')\n",
+ "rtapp.run(out_dir=te.res_dir, cgroup=\"\")\n",
+ "\n",
+ "logging.info('#### Read energy consumption: %s/energy.json', te.res_dir)\n",
+ "(nrg, nrg_file) = te.emeter.report(out_dir=te.res_dir)\n",
+ "\n",
+ "logging.info('#### Stop FTrace')\n",
+ "te.ftrace.stop()\n",
+ "\n",
+ "trace_file = os.path.join(te.res_dir, 'trace.dat')\n",
+ "logging.info('#### Save FTrace: %s', trace_file)\n",
+ "te.ftrace.get_trace(trace_file)\n",
+ "\n",
+ "logging.info('#### Save platform description: %s/platform.json', te.res_dir)\n",
+ "(plt, plt_file) = te.platform_dump(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Collected results"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:21:30 INFO : Content of the output folder /data/lisa_fork/lisa/results/fork_migration\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "total 7048\r\n",
+ "drwxrwxr-x 2 zhifei zhifei 4096 4月 6 15:21 .\r\n",
+ "drwxrwxr-x 30 zhifei zhifei 4096 4月 6 15:20 ..\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 67 4月 6 15:21 energy.json\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 581 4月 6 15:21 output.log\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 1075 4月 6 15:21 platform.json\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 408 4月 6 15:21 rt-app-delay_starter_1-0.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 408 4月 6 15:21 rt-app-delay_starter_2-1.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 284 4月 6 15:21 rt-app-early_starter_1-2.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 284 4月 6 15:21 rt-app-early_starter_2-3.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 1363 4月 6 15:21 simple_00.json\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 7176192 4月 6 15:21 trace.dat\r\n"
+ ]
+ }
+ ],
+ "source": [
+ "# All data are produced in the output folder defined by the TestEnv module\n",
+ "logging.info('Content of the output folder %s', te.res_dir)\n",
+ "!ls -la {te.res_dir}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:21:31 INFO : Generated RTApp JSON file:\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Inspect the JSON file used to run the application\n",
+ "with open('{}/simple_00.json'.format(te.res_dir), 'r') as fh:\n",
+ " rtapp_json = json.load(fh, )\n",
+ "logging.info('Generated RTApp JSON file:')\n",
+ "#print json.dumps(rtapp_json, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:21:36 INFO : Energy: /data/lisa_fork/lisa/results/fork_migration/energy.json\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "{\n",
+ " \"LITTLE\": 2.500926000000163, \n",
+ " \"big\": 13.216229999999996\n",
+ "}\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Dump the energy measured for the LITTLE and big clusters\n",
+ "logging.info('Energy: %s', nrg_file)\n",
+ "print json.dumps(nrg, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:21:39 INFO : Platform description: /data/lisa_fork/lisa/results/fork_migration/platform.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Dump the platform descriptor, which could be useful for further analysis\n",
+ "# of the generated results\n",
+ "logging.info('Platform description: %s', plt_file)\n",
+ "#print json.dumps(plt, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Trace inspection"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>\n",
+ "/*\n",
+ " * Copyright 2015-2016 ARM Limited\n",
+ " *\n",
+ " * Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+ " * you may not use this file except in compliance with the License.\n",
+ " * You may obtain a copy of the License at\n",
+ " *\n",
+ " * http://www.apache.org/licenses/LICENSE-2.0\n",
+ " *\n",
+ " * Unless required by applicable law or agreed to in writing, software\n",
+ " * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ " * See the License for the specific language governing permissions and\n",
+ " * limitations under the License.\n",
+ " */\n",
+ "\n",
+ ".d3-tip {\n",
+ " line-height: 1;\n",
+ " padding: 12px;\n",
+ " background: rgba(0, 0, 0, 0.6);\n",
+ " color: #fff;\n",
+ " border-radius: 2px;\n",
+ " position: absolute !important;\n",
+ " z-index: 99999;\n",
+ "}\n",
+ "\n",
+ ".d3-tip:after {\n",
+ " box-sizing: border-box;\n",
+ " pointer-events: none;\n",
+ " display: inline;\n",
+ " font-size: 10px;\n",
+ " width: 100%;\n",
+ " line-height: 1;\n",
+ " color: rgba(0, 0, 0, 0.6);\n",
+ " content: \"\\25BC\";\n",
+ " position: absolute !important;\n",
+ " z-index: 99999;\n",
+ " text-align: center;\n",
+ "}\n",
+ "\n",
+ ".d3-tip.n:after {\n",
+ " margin: -1px 0 0 0;\n",
+ " top: 100%;\n",
+ " left: 0;\n",
+ "}\n",
+ "\n",
+ ".contextRect {\n",
+ " fill: lightgray;\n",
+ " fill-opacity: 0.5;\n",
+ " stroke: black;\n",
+ " stroke-width: 1;\n",
+ " stroke-opacity: 1;\n",
+ " pointer-events: none;\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "\n",
+ ".chart {\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "\n",
+ ".mini text {\n",
+ " font: 9px sans-serif;\n",
+ "}\n",
+ "\n",
+ ".main text {\n",
+ " font: 12px sans-serif;\n",
+ "}\n",
+ "\n",
+ ".axis line, .axis path {\n",
+ " stroke: black;\n",
+ "}\n",
+ "\n",
+ ".miniItem {\n",
+ " stroke-width: 8;\n",
+ "}\n",
+ "\n",
+ ".brush .extent {\n",
+ "\n",
+ " stroke: #000;\n",
+ " fill-opacity: .125;\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "</style>\n",
+ "<div id=\"fig_056357b3aea747adb3481e58d2c0fcbf\" class=\"eventplot\">\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://labratrevenge.com/d3-tip/javascripts/d3.tip.v0.6.3.js\" -->\n",
+ "\n",
+ " <script>\n",
+ " /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/EventPlot.js\" */\n",
+ " /* TRAPPY_PUBLISH_REMOVE_START */\n",
+ " var req = require.config( {\n",
+ "\n",
+ " paths: {\n",
+ "\n",
+ " \"EventPlot\": '/nbextensions/plotter_scripts/EventPlot/EventPlot',\n",
+ " \"d3-tip\": '/nbextensions/plotter_scripts/EventPlot/d3.tip.v0.6.3',\n",
+ " \"d3-plotter\": '/nbextensions/plotter_scripts/EventPlot/d3.min'\n",
+ " },\n",
+ " waitSeconds: 15,\n",
+ " shim: {\n",
+ " \"d3-plotter\" : {\n",
+ " \"exports\" : \"d3\"\n",
+ " },\n",
+ " \"d3-tip\": [\"d3-plotter\"],\n",
+ " \"EventPlot\": {\n",
+ "\n",
+ " \"deps\": [\"d3-tip\", \"d3-plotter\" ],\n",
+ " \"exports\": \"EventPlot\"\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " /* TRAPPY_PUBLISH_REMOVE_STOP */\n",
+ " \n",
+ " req([\"require\", \"EventPlot\"], function() { /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " EventPlot.generate('fig_056357b3aea747adb3481e58d2c0fcbf', '/nbextensions/', {\"lanes\": [{\"id\": 0, \"label\": \"CPU :0\"}, {\"id\": 1, \"label\": \"CPU :1\"}, {\"id\": 2, \"label\": \"CPU :2\"}, {\"id\": 3, \"label\": \"CPU :3\"}, {\"id\": 4, \"label\": \"CPU :4\"}, {\"id\": 5, \"label\": \"CPU :5\"}], \"colorMap\": null, \"keys\": [\"delay_starter_1-3658\", \"early_starter_1-3660\", \"delay_starter_2-3659\", \"early_starter_2-3661\", \"sh-3642\", \"sh-3647\", \"sh-3668\", \"sh-3672\", \"sh-3664\", \"sh-3676\", \"adbd-3643\", \"adbd-3639\", \"adbd-3652\", \"adbd-3655\", \"su-3694\", \"su-3688\", \"su-3698\", \"sh-3689\", \"adbd-3691\", \"adbd-3685\", \"adbd-3674\", \"adbd-3666\", \"adbd-3662\", \"adbd-3670\", \"adbd-3679\", \"adbd-3682\", \"sh-3698\", \"su-3646\", \"sh-3695\", \"sh-3688\", \"sh-3694\", \"adbd-3649\", \"shutils-3648\", \"adbd-3695\", \"sh-3649\", \"sh-3657\", \"shutils-3690\", \"sh-3646\", \"sh-3655\", \"sh-3697\", \"sh-3693\", \"sh-3674\", \"sh-3670\", 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+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Suport for FTrace events parsing and visualization\n",
+ "import trappy\n",
+ "\n",
+ "# NOTE: The interactive trace visualization is available only if you run\n",
+ "# the workload to generate a new trace-file\n",
+ "trappy.plotter.plot_trace(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# New Task Behavior"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:22:01 DEBUG : Loading [sched] events from trace in [/data/lisa_fork/lisa/results/fork_migration]...\n",
+ "03:22:01 DEBUG : Parsing events: ['cpu_frequency', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_switch', 'dequeue_task_fair', 'enqueue_task_fair', 'set_next_entity', 'cpu_capacity', 'sched_blocked_reason', 'sched_boost_cpu', 'sched_boost_task', 'sched_contrib_scale_f', 'sched_cpu_hotplug', 'sched_energy_diff', 'sched_kthread_stop', 'sched_kthread_stop_ret', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_migrate_task', 'sched_move_numa', 'sched_pi_setprio', 'sched_process_exec', 'sched_process_exit', 'sched_process_fork', 'sched_process_free', 'sched_process_wait', 'sched_stat_blocked', 'sched_stat_iowait', 'sched_stat_runtime', 'sched_stat_sleep', 'sched_stat_wait', 'sched_stick_numa', 'sched_swap_numa', 'sched_switch', 'sched_tune_boostgroup_update', 'sched_tune_config', 'sched_tune_tasks_update', 'sched_tune_filter', 'sched_wait_task', 'sched_wake_idle_without_ipi', 'sched_wakeup', 'sched_wakeup_new']\n",
+ "03:22:01 INFO : Parsing FTrace format...\n",
+ "03:22:08 DEBUG : Events found on trace:\n",
+ "03:22:08 DEBUG : - sched_load_avg_task\n",
+ "03:22:08 DEBUG : - sched_wakeup\n",
+ "03:22:08 DEBUG : - cpu_capacity\n",
+ "03:22:08 DEBUG : - sched_wakeup_new\n",
+ "03:22:08 DEBUG : - sched_stat_blocked\n",
+ "03:22:08 DEBUG : - sched_process_exit\n",
+ "03:22:08 DEBUG : - sched_contrib_scale_f\n",
+ "03:22:08 DEBUG : - sched_process_exec\n",
+ "03:22:08 DEBUG : - sched_process_wait\n",
+ "03:22:08 DEBUG : - cpu_frequency\n",
+ "03:22:08 DEBUG : - sched_boost_cpu\n",
+ "03:22:08 DEBUG : - sched_migrate_task\n",
+ "03:22:08 DEBUG : - sched_process_free\n",
+ "03:22:08 DEBUG : - sched_switch\n",
+ "03:22:08 DEBUG : - sched_stat_sleep\n",
+ "03:22:08 DEBUG : - sched_stat_wait\n",
+ "03:22:08 DEBUG : - sched_boost_task\n",
+ "03:22:08 DEBUG : - sched_load_avg_cpu\n",
+ "03:22:08 DEBUG : - sched_stat_runtime\n",
+ "03:22:08 DEBUG : - sched_stat_iowait\n",
+ "03:22:08 DEBUG : - sched_tune_tasks_update\n",
+ "03:22:08 DEBUG : - sched_process_fork\n",
+ "03:22:08 DEBUG : - sched_blocked_reason\n",
+ "03:22:09 INFO : Platform clusters verified to be Frequency coherent\n",
+ "03:22:09 DEBUG : Lookup dataset for tasks...\n",
+ "03:22:09 INFO : Collected events spans a 10.950 [s] time interval\n",
+ "03:22:09 INFO : Set plots time range to (0.000000, 10.949848)[s]\n",
+ "03:22:09 DEBUG : Registering [<trace.Trace object at 0x7f5d2b21f750>] local data frames\n",
+ "03:22:09 DEBUG : functions_stats\n",
+ "03:22:09 DEBUG : trace_event\n",
+ "03:22:09 DEBUG : Analysis - Analysis: /data/lisa_fork/lisa/libs/utils/analysis\n",
+ "03:22:09 DEBUG : Analysis - Syspath: ['/data/lisa_fork/lisa/libs/utils/analysis', '', '/data/lisa_fork/lisa/libs/bart', '/data/lisa_fork/lisa/libs/trappy', '/data/lisa_fork/lisa/libs/devlib', '/data/lisa_fork/lisa/libs/wlgen', '/data/lisa_fork/lisa/libs/utils', '/data/lisa_fork/lisa/ipynb/workshop', '/usr/lib/python2.7', '/usr/lib/python2.7/plat-x86_64-linux-gnu', '/usr/lib/python2.7/lib-tk', '/usr/lib/python2.7/lib-old', '/usr/lib/python2.7/lib-dynload', '/usr/local/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages', '/usr/local/lib/python2.7/dist-packages/IPython/extensions', '/home/zhifei/.ipython']\n",
+ "03:22:09 INFO : Registering trace analysis modules:\n",
+ "03:22:09 DEBUG : Analysis - Filename: tasks_analysis\n",
+ "03:22:09 DEBUG : Registering [<tasks_analysis.TasksAnalysis object at 0x7f5d2a945790>] local data frames\n",
+ "03:22:09 DEBUG : rt_tasks\n",
+ "03:22:09 DEBUG : top_big_tasks\n",
+ "03:22:09 DEBUG : top_wakeup_tasks\n",
+ "03:22:09 DEBUG : trace_event\n",
+ "03:22:09 INFO : tasks\n",
+ "03:22:09 DEBUG : Analysis - Filename: idle_analysis\n",
+ "03:22:09 DEBUG : Registering [<idle_analysis.IdleAnalysis object at 0x7f5d2a945d90>] local data frames\n",
+ "03:22:09 DEBUG : cluster_idle_state_residency\n",
+ "03:22:09 DEBUG : cpu_idle_state_residency\n",
+ "03:22:09 DEBUG : trace_event\n",
+ "03:22:09 INFO : idle\n",
+ "03:22:09 DEBUG : Analysis - Filename: latency_analysis\n",
+ "03:22:09 DEBUG : Registering [<latency_analysis.LatencyAnalysis object at 0x7f5d29d657d0>] local data frames\n",
+ "03:22:09 DEBUG : latency_df\n",
+ "03:22:09 DEBUG : latency_preemption_df\n",
+ "03:22:09 DEBUG : latency_wakeup_df\n",
+ "03:22:09 DEBUG : trace_event\n",
+ "03:22:09 INFO : latency\n",
+ "03:22:09 DEBUG : Analysis - Filename: functions_analysis\n",
+ "03:22:09 DEBUG : Registering [<functions_analysis.FunctionsAnalysis object at 0x7f5d29d652d0>] local data frames\n",
+ "03:22:09 DEBUG : trace_event\n",
+ "03:22:09 INFO : functions\n",
+ "03:22:09 DEBUG : Analysis - Filename: frequency_analysis\n",
+ "03:22:09 DEBUG : Registering [<frequency_analysis.FrequencyAnalysis object at 0x7f5d2a941690>] local data frames\n",
+ "03:22:09 DEBUG : cluster_frequency_residency\n",
+ "03:22:09 DEBUG : cpu_frequency_residency\n",
+ "03:22:09 DEBUG : trace_event\n",
+ "03:22:09 INFO : frequency\n",
+ "03:22:09 DEBUG : Analysis - Filename: status_analysis\n",
+ "03:22:09 DEBUG : Registering [<status_analysis.StatusAnalysis object at 0x7f5d2a950510>] local data frames\n",
+ "03:22:09 DEBUG : overutilized\n",
+ "03:22:09 DEBUG : trace_event\n",
+ "03:22:09 INFO : status\n",
+ "03:22:09 DEBUG : Analysis - Filename: eas_analysis\n",
+ "03:22:09 DEBUG : Registering [<eas_analysis.EasAnalysis object at 0x7f5d2a950b10>] local data frames\n",
+ "03:22:09 DEBUG : trace_event\n",
+ "03:22:09 INFO : eas\n",
+ "03:22:09 DEBUG : Analysis - Filename: cpus_analysis\n",
+ "03:22:09 DEBUG : Registering [<cpus_analysis.CpusAnalysis object at 0x7f5d2a950b90>] local data frames\n",
+ "03:22:09 DEBUG : context_switches\n",
+ "03:22:09 DEBUG : trace_event\n",
+ "03:22:09 INFO : cpus\n"
+ ]
+ },
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4.9092840000084834], [4.9093549999961397, 5.7732760000071721]]}, \"delay_starter_1-3658\": {\"2\": [[0.4451930000068387, 0.44531300000380725], [1.4452670000027865, 1.6932650000089779], [1.693425000004936, 1.9172660000040196], [1.9172820000094362, 1.92126499999722], [1.9213180000078864, 2.6932640000013635], [2.6934259999979986, 2.9172660000040196], [2.917278000008082, 3.6932640000013635], [3.6934230000042589, 3.9172640000033425], [3.9172770000004675, 3.92126499999722], [3.9213540000055218, 4.0612689999979921], [4.0612810000020545, 4.2212650000001304], [4.2212779999972554, 4.6932640000013635], [4.6934239999973215, 4.9172649999964051], [4.9172830000024987, 5.6932690000103321], [5.6934429999964777, 5.7725449999998091], [5.7727050000103191, 5.7770330000057584], [5.7770420000015292, 5.9172660000040196], [5.9172959999996237, 5.9212660000048345], [5.9213109999982407, 6.5449240000016289]]}, \"early_starter_1-3660\": {\"0\": [[1.4495069999975385, 1.4508420000056503], [1.4508659999992233, 1.4508950000017649], [1.4509190000098897, 1.9452900000032969], [1.9453769999963697, 2.4092870000022231], [2.4093200000061188, 2.4100060000055237], [2.4100390000094194, 3.4092860000091605], [3.4093169999978272, 3.4099960000021383], [3.4100239999970654, 3.9452860000019427], [3.945397999996203, 4.4092860000091605], [4.4093160000047646, 4.4099980000028154], [4.4100259999977425, 5.4092860000091605], [5.4093160000047646, 5.4099980000028154], [5.4100239999970654, 5.7733100000041304], [5.7733850000076927, 5.9452830000082031], [5.9453680000005988, 6.4092860000091605], [6.4093160000047646, 6.4099980000028154], [6.4100259999977425, 6.5452789999981178]], \"2\": [[0.44508400000631809, 0.44509300000208896], [0.44511700001021381, 0.4451930000068387], [0.44531300000380725, 0.44822400000703055], [0.44824900000821799, 0.44833900000958238], [0.44847600000503007, 0.45445400000608061], [0.45448000000033062, 0.69326600000204053], [0.69343100000696722, 0.91726600000401959], [0.91728599999623839, 1.4452670000027865], [6.5453150000103051, 6.547854999997071], [6.5478660000080708, 6.5492769999982556], [6.5492900000099326, 6.6932680000027176], [6.6934340000007069, 6.9172669999970822], [6.9172840000101132, 7.633270000005723], [7.633283000002848, 7.6372689999989234], [7.6372800000099232, 7.6932640000013635], [7.693425000004936, 7.9172649999964051], [7.9172820000094362, 7.92126499999722], [7.9213500000041677, 8.0197780000016792], [8.0198349999991478, 8.0198760000057518], [8.0201170000073034, 8.0203080000064801], [8.0203600000095321, 8.6694799999968382]]}}});\n",
+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "events_to_parse = my_tests_conf['ftrace']['events']\n",
+ "\n",
+ "trace = Trace(plt, te.res_dir, events_to_parse)\n",
+ "\n",
+ "ftrace = trace.ftrace\n",
+ "\n",
+ "trappy.plotter.plot_trace(ftrace, execnames=['early_starter_1', \"early_starter_2\", \"delay_starter_1\",\n",
+ " \"delay_starter_2\", \"delay_starter_3\", \"delay_starter_4\",\n",
+ " ])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# RTApp task performance plots"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "04:22:39 DEBUG : Found rt-app logfile for task [early_starter_2]\n",
+ "04:22:39 DEBUG : Found rt-app logfile for task [delay_starter_1]\n",
+ "04:22:39 DEBUG : Found rt-app logfile for task [delay_starter_2]\n",
+ "04:22:39 DEBUG : Found rt-app logfile for task [early_starter_1]\n",
+ "04:22:39 DEBUG : Loading dataframe for task [early_starter_2]...\n",
+ "04:22:39 DEBUG : Loading dataframe for task [delay_starter_1]...\n",
+ "04:22:39 DEBUG : Loading dataframe for task [early_starter_1]...\n",
+ "04:22:39 DEBUG : Loading dataframe for task [delay_starter_2]...\n",
+ "04:22:40 INFO : PerfIndex, Task [early_starter_2] avg: 0.00, std: nan\n",
+ "04:22:42 INFO : PerfIndex, Task [delay_starter_1] avg: 0.00, std: nan\n",
+ "04:22:43 INFO : PerfIndex, Task [early_starter_1] avg: 0.00, std: nan\n",
+ "04:22:44 INFO : PerfIndex, Task [delay_starter_2] avg: 0.00, std: nan\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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yrGh7Z9vL97SsJmYrHUz/e0S81tvMDVwqaUr3gybbvfuM499V+z5WVGqrJ4tt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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fcf013424d0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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cJukztl8prbjQ3b/WTT9L0ukR8UGlz7ZjB5kTw4SiFmNFq2/tPiHpENuPKvUQ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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fcf014de550>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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+v+2xSmOr32/734t9ai+lg5eetklvDnW6qMmakg5SGndbr7fPg/p9rt65Srfl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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fcf0184dd50>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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m36dU5LaaY9x232+zzdVbImmC7Y8Xz/NmpSHJ53UScLDtzvbhtl9TbFvPUfqS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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fcf02125d50>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Support for performance analysis of RTApp workloads\n",
+ "from perf_analysis import PerfAnalysis\n",
+ "\n",
+ "# Parse the RT-App generate log files to compute performance metrics\n",
+ "pa = PerfAnalysis(te.res_dir)\n",
+ "\n",
+ "# For each task which has generated a logfile, plot its performance metrics\n",
+ "for task in pa.tasks():\n",
+ " pa.plotPerf(task, \"Performance plots for task [{}] \".format(task))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Trace Overview"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>\n",
+ "/*\n",
+ " * Copyright 2015-2016 ARM Limited\n",
+ " *\n",
+ " * Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+ " * you may not use this file except in compliance with the License.\n",
+ " * You may obtain a copy of the License at\n",
+ " *\n",
+ " * http://www.apache.org/licenses/LICENSE-2.0\n",
+ " *\n",
+ " * Unless required by applicable law or agreed to in writing, software\n",
+ " * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ " * See the License for the specific language governing permissions and\n",
+ " * limitations under the License.\n",
+ " */\n",
+ "\n",
+ ".d3-tip {\n",
+ " line-height: 1;\n",
+ " padding: 12px;\n",
+ " background: rgba(0, 0, 0, 0.6);\n",
+ " color: #fff;\n",
+ " border-radius: 2px;\n",
+ " position: absolute !important;\n",
+ " z-index: 99999;\n",
+ "}\n",
+ "\n",
+ ".d3-tip:after {\n",
+ " box-sizing: border-box;\n",
+ " pointer-events: none;\n",
+ " display: inline;\n",
+ " font-size: 10px;\n",
+ " width: 100%;\n",
+ " line-height: 1;\n",
+ " color: rgba(0, 0, 0, 0.6);\n",
+ " content: \"\\25BC\";\n",
+ " position: absolute !important;\n",
+ " z-index: 99999;\n",
+ " text-align: center;\n",
+ "}\n",
+ "\n",
+ ".d3-tip.n:after {\n",
+ " margin: -1px 0 0 0;\n",
+ " top: 100%;\n",
+ " left: 0;\n",
+ "}\n",
+ "\n",
+ ".contextRect {\n",
+ " fill: lightgray;\n",
+ " fill-opacity: 0.5;\n",
+ " stroke: black;\n",
+ " stroke-width: 1;\n",
+ " stroke-opacity: 1;\n",
+ " pointer-events: none;\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "\n",
+ ".chart {\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "\n",
+ ".mini text {\n",
+ " font: 9px sans-serif;\n",
+ "}\n",
+ "\n",
+ ".main text {\n",
+ " font: 12px sans-serif;\n",
+ "}\n",
+ "\n",
+ ".axis line, .axis path {\n",
+ " stroke: black;\n",
+ "}\n",
+ "\n",
+ ".miniItem {\n",
+ " stroke-width: 8;\n",
+ "}\n",
+ "\n",
+ ".brush .extent {\n",
+ "\n",
+ " stroke: #000;\n",
+ " fill-opacity: .125;\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "</style>\n",
+ "<div id=\"fig_b7f764a0decc4c2fbd028e350f89d0f6\" class=\"eventplot\">\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://labratrevenge.com/d3-tip/javascripts/d3.tip.v0.6.3.js\" -->\n",
+ "\n",
+ " <script>\n",
+ " /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/EventPlot.js\" */\n",
+ " /* TRAPPY_PUBLISH_REMOVE_START */\n",
+ " var req = require.config( {\n",
+ "\n",
+ " paths: {\n",
+ "\n",
+ " \"EventPlot\": '/nbextensions/plotter_scripts/EventPlot/EventPlot',\n",
+ " \"d3-tip\": '/nbextensions/plotter_scripts/EventPlot/d3.tip.v0.6.3',\n",
+ " \"d3-plotter\": '/nbextensions/plotter_scripts/EventPlot/d3.min'\n",
+ " },\n",
+ " waitSeconds: 15,\n",
+ " shim: {\n",
+ " \"d3-plotter\" : {\n",
+ " \"exports\" : \"d3\"\n",
+ " },\n",
+ " \"d3-tip\": [\"d3-plotter\"],\n",
+ " \"EventPlot\": {\n",
+ "\n",
+ " \"deps\": [\"d3-tip\", \"d3-plotter\" ],\n",
+ " \"exports\": \"EventPlot\"\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " /* TRAPPY_PUBLISH_REMOVE_STOP */\n",
+ " \n",
+ " req([\"require\", \"EventPlot\"], function() { /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
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+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# NOTE: The interactive trace visualization is available only if you run\n",
+ "# the workload to generate a new trace-file\n",
+ "trappy.plotter.plot_trace(ftrace)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "# Add column with util_max = max(util_avg, util_est)\n",
+ "df = ftrace.sched_load_avg_cpu.data_frame\n",
+ "\n",
+ "#print df[['util_avg', 'util_est']]\n",
+ "#print df[['util_avg']]\n",
+ "\n",
+ "#df['util_max'] = df[['util_avg', 'util_est']].max(axis=1)\n",
+ "\n",
+ "df['util_max'] = df[['util_avg']].max(axis=1)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Task Utilization"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# CPU Utilization"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ "</script>\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://cdnjs.cloudflare.com/ajax/libs/dygraph/1.1.1/dygraph-combined.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://dygraphs.com/extras/synchronizer.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js\" -->\n",
+ "\n",
+ " <script>\n",
+ " /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/ILinePlot.js\" */\n",
+ " /* TRAPPY_PUBLISH_REMOVE_START */\n",
+ " var ilp_req = require.config( {\n",
+ "\n",
+ " paths: {\n",
+ " \"dygraph-sync\": '/nbextensions/plotter_scripts/ILinePlot/synchronizer',\n",
+ " \"dygraph\": '/nbextensions/plotter_scripts/ILinePlot/dygraph-combined',\n",
+ " \"ILinePlot\": '/nbextensions/plotter_scripts/ILinePlot/ILinePlot',\n",
+ " \"underscore\": '/nbextensions/plotter_scripts/ILinePlot/underscore-min',\n",
+ " },\n",
+ "\n",
+ " shim: {\n",
+ " \"dygraph-sync\": [\"dygraph\"],\n",
+ " \"ILinePlot\": {\n",
+ "\n",
+ " \"deps\": [\"dygraph-sync\", \"dygraph\", \"underscore\"],\n",
+ " \"exports\": \"ILinePlot\"\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " /* TRAPPY_PUBLISH_REMOVE_STOP */\n",
+ " ilp_req([\"require\", \"ILinePlot\"], function() { /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " ILinePlot.generate(fig_48ca350c37644462a91e8be6145e3aed_data);\n",
+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " \n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://cdnjs.cloudflare.com/ajax/libs/dygraph/1.1.1/dygraph-combined.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://dygraphs.com/extras/synchronizer.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js\" -->\n",
+ "\n",
+ " <script>\n",
+ " /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/ILinePlot.js\" */\n",
+ " /* TRAPPY_PUBLISH_REMOVE_START */\n",
+ " var ilp_req = require.config( {\n",
+ "\n",
+ " paths: {\n",
+ " \"dygraph-sync\": '/nbextensions/plotter_scripts/ILinePlot/synchronizer',\n",
+ " \"dygraph\": '/nbextensions/plotter_scripts/ILinePlot/dygraph-combined',\n",
+ " \"ILinePlot\": '/nbextensions/plotter_scripts/ILinePlot/ILinePlot',\n",
+ " \"underscore\": '/nbextensions/plotter_scripts/ILinePlot/underscore-min',\n",
+ " },\n",
+ "\n",
+ " shim: {\n",
+ " \"dygraph-sync\": [\"dygraph\"],\n",
+ " \"ILinePlot\": {\n",
+ "\n",
+ " \"deps\": [\"dygraph-sync\", \"dygraph\", \"underscore\"],\n",
+ " \"exports\": \"ILinePlot\"\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " /* TRAPPY_PUBLISH_REMOVE_STOP */\n",
+ " ilp_req([\"require\", \"ILinePlot\"], function() { /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " ILinePlot.generate(fig_994bcb2aafec4d71bedeef437c356ab0_data);\n",
+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " \n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://cdnjs.cloudflare.com/ajax/libs/dygraph/1.1.1/dygraph-combined.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://dygraphs.com/extras/synchronizer.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js\" -->\n",
+ "\n",
+ " <script>\n",
+ " /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/ILinePlot.js\" */\n",
+ " /* TRAPPY_PUBLISH_REMOVE_START */\n",
+ " var ilp_req = require.config( {\n",
+ "\n",
+ " paths: {\n",
+ " \"dygraph-sync\": '/nbextensions/plotter_scripts/ILinePlot/synchronizer',\n",
+ " \"dygraph\": '/nbextensions/plotter_scripts/ILinePlot/dygraph-combined',\n",
+ " \"ILinePlot\": '/nbextensions/plotter_scripts/ILinePlot/ILinePlot',\n",
+ " \"underscore\": '/nbextensions/plotter_scripts/ILinePlot/underscore-min',\n",
+ " },\n",
+ "\n",
+ " shim: {\n",
+ " \"dygraph-sync\": [\"dygraph\"],\n",
+ " \"ILinePlot\": {\n",
+ "\n",
+ " \"deps\": [\"dygraph-sync\", \"dygraph\", \"underscore\"],\n",
+ " \"exports\": \"ILinePlot\"\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " /* TRAPPY_PUBLISH_REMOVE_STOP */\n",
+ " ilp_req([\"require\", \"ILinePlot\"], function() { /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " ILinePlot.generate(fig_821ed7bdc9094915bdca4a7bd3e0e55a_data);\n",
+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " \n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://cdnjs.cloudflare.com/ajax/libs/dygraph/1.1.1/dygraph-combined.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://dygraphs.com/extras/synchronizer.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js\" -->\n",
+ "\n",
+ " <script>\n",
+ " /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/ILinePlot.js\" */\n",
+ " /* TRAPPY_PUBLISH_REMOVE_START */\n",
+ " var ilp_req = require.config( {\n",
+ "\n",
+ " paths: {\n",
+ " \"dygraph-sync\": '/nbextensions/plotter_scripts/ILinePlot/synchronizer',\n",
+ " \"dygraph\": '/nbextensions/plotter_scripts/ILinePlot/dygraph-combined',\n",
+ " \"ILinePlot\": '/nbextensions/plotter_scripts/ILinePlot/ILinePlot',\n",
+ " \"underscore\": '/nbextensions/plotter_scripts/ILinePlot/underscore-min',\n",
+ " },\n",
+ "\n",
+ " shim: {\n",
+ " \"dygraph-sync\": [\"dygraph\"],\n",
+ " \"ILinePlot\": {\n",
+ "\n",
+ " \"deps\": [\"dygraph-sync\", \"dygraph\", \"underscore\"],\n",
+ " \"exports\": \"ILinePlot\"\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " /* TRAPPY_PUBLISH_REMOVE_STOP */\n",
+ " ilp_req([\"require\", \"ILinePlot\"], function() { /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " ILinePlot.generate(fig_76c32c10b44a471fb551d27424750a8c_data);\n",
+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " "
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "trappy.ILinePlot(\n",
+ " ftrace,\n",
+ " signals=[\n",
+ " 'sched_load_avg_cpu:util_avg',\n",
+ " 'sched_load_avg_cpu:util_max',\n",
+ " ],\n",
+ " pivot='cpu',\n",
+ " filters={'cpu': [0,1,2, 5]},\n",
+ " drawstyle='steps-post',\n",
+ " scatter=False,\n",
+ "# sync_zoom=True,\n",
+ "# group='PeriodicAndRamp',\n",
+ " marker = '+').view()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "celltoolbar": "Raw Cell Format",
+ "kernelspec": {
+ "display_name": "Python 2",
+ "language": "python",
+ "name": "python2"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 2
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython2",
+ "version": "2.7.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/ipynb/workshop/prefer_idle.ipynb b/ipynb/workshop/prefer_idle.ipynb
new file mode 100644
index 000000000..154a51979
--- /dev/null
+++ b/ipynb/workshop/prefer_idle.ipynb
@@ -0,0 +1,2361 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Schedtune.prefer_idle experiment"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This notebook demonstrates the workload behaviour for different schedtune.prefer_idle setting"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "import logging\n",
+ "reload(logging)\n",
+ "logging.basicConfig(\n",
+ " format='%(asctime)-9s %(levelname)-8s: %(message)s',\n",
+ " datefmt='%I:%M:%S')\n",
+ "\n",
+ "# Enable logging at INFO level\n",
+ "logging.getLogger().setLevel(logging.INFO)\n",
+ "# Comment the follwing line to disable devlib debugging statements\n",
+ "# logging.getLogger('ssh').setLevel(logging.DEBUG)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Populating the interactive namespace from numpy and matplotlib\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Generate plots inline\n",
+ "%pylab inline\n",
+ "\n",
+ "import json\n",
+ "import os\n",
+ "import subprocess\n",
+ "\n",
+ "# Support to access the remote target\n",
+ "import devlib\n",
+ "from env import TestEnv\n",
+ "\n",
+ "# Support for trace events analysis\n",
+ "from trace import Trace\n",
+ "from trace_analysis import TraceAnalysis\n",
+ "\n",
+ "# Support to configure and run RTApp based workloads\n",
+ "from wlgen import RTA\n",
+ "\n",
+ "# Support for performance analysis of RTApp workloads\n",
+ "from perf_analysis import PerfAnalysis\n",
+ "\n",
+ "# Suport for FTrace events parsing and visualization\n",
+ "import trappy"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Test environment setup"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "# Setup a target configuration\n",
+ "my_target_conf = {\n",
+ " \n",
+ " # Define the kind of target platform to use for the experiments\n",
+ " \"platform\" : 'android', # Linux system, valid other options are:\n",
+ " # android - access via ADB\n",
+ " # linux - access via SSH\n",
+ " # host - direct access\n",
+ " \n",
+ " # Preload settings for a specific target\n",
+ " \"board\" : 'juno', # load JUNO specific settings, e.g.\n",
+ " # - HWMON based energy sampling\n",
+ " # - Juno energy model\n",
+ " # valid options are:\n",
+ " # - juno - JUNO Development Board\n",
+ " # - tc2 - TC2 Development Board\n",
+ " # - oak - Mediatek MT63xx based target\n",
+ "\n",
+ " # Define devlib module to load\n",
+ " #\"modules\" : [\n",
+ " # 'bl', # enable big.LITTLE support\n",
+ " # 'cpufreq' # enable CPUFreq support\n",
+ " #],\n",
+ "\n",
+ " # Account to access the remote target\n",
+ " \"host\" : '10.169.36.25',\n",
+ " \"username\" : 'root',\n",
+ " \"password\" : '',\n",
+ "\n",
+ " # Comment the following line to force rt-app calibration on your target\n",
+ " \"rtapp-calib\" : {\n",
+ " '0': 361, '1': 138, '2': 138, '3': 352, '4': 360, '5': 353\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "# Setup the required Test Environment supports\n",
+ "my_tests_conf = {\n",
+ " \n",
+ " # Binary tools required to run this experiment\n",
+ " # These tools must be present in the tools/ folder for the architecture\n",
+ " \"tools\" : ['rt-app', 'taskset', 'trace-cmd'],\n",
+ " \n",
+ " # FTrace events end buffer configuration\n",
+ " \"ftrace\" : {\n",
+ " \"events\" : [\n",
+ " \"cpu_frequency\",\n",
+ " \"sched_load_avg_cpu\",\n",
+ " \"sched_load_avg_task\",\n",
+ " \"sched_switch\",\n",
+ " 'dequeue_task_fair', \n",
+ " 'enqueue_task_fair', \n",
+ " 'set_next_entity',\n",
+ "\n",
+ " \n",
+ " \"cpu_capacity\",\n",
+ " \"cpu_idle\",\n",
+ " \n",
+ " #/sys/kernel/debug/tracing/events/sched\n",
+ " \"sched_blocked_reason\",\n",
+ " \"sched_boost_cpu\",\n",
+ " \"sched_boost_task\",\n",
+ " \"sched_contrib_scale_f\",\n",
+ " \"sched_cpu_hotplug\",\n",
+ " \"sched_energy_diff\",\n",
+ " \"sched_kthread_stop\",\n",
+ " \"sched_kthread_stop_ret\",\n",
+ " \"sched_load_avg_cpu\",\n",
+ " \"sched_load_avg_task\",\n",
+ " \"sched_migrate_task\",\n",
+ " \"sched_move_numa\",\n",
+ " \"sched_pi_setprio\",\n",
+ " \"sched_process_exec\",\n",
+ " \"sched_process_exit\",\n",
+ " \"sched_process_fork\",\n",
+ " \"sched_process_free\",\n",
+ " \"sched_process_wait\",\n",
+ " \"sched_stat_blocked\",\n",
+ " \"sched_stat_iowait\",\n",
+ " \"sched_stat_runtime\",\n",
+ " \"sched_stat_sleep\",\n",
+ " \"sched_stat_wait\",\n",
+ " \"sched_stick_numa\",\n",
+ " \"sched_swap_numa\",\n",
+ " \"sched_switch\",\n",
+ " \"sched_tune_boostgroup_update\",\n",
+ " \"sched_tune_config\",\n",
+ " \"sched_tune_tasks_update\",\n",
+ " \"sched_tune_filter\",\n",
+ " \"sched_wait_task\",\n",
+ " \"sched_wake_idle_without_ipi\",\n",
+ " \"sched_wakeup\",\n",
+ " \"sched_wakeup_new\",\n",
+ " \n",
+ " \n",
+ " ],\n",
+ " \"buffsize\" : 10240\n",
+ " },\n",
+ " \"results_dir\" : \"prefer_idle\",\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "collapsed": false,
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:34:29 INFO : Target - Using base path: /data/lisa_fork/lisa\n",
+ "03:34:29 INFO : Target - Loading custom (inline) target configuration\n",
+ "03:34:29 INFO : Target - Loading custom (inline) test configuration\n",
+ "03:34:29 INFO : Target - External tools using:\n",
+ "03:34:29 INFO : Target - ANDROID_HOME: /home/zhifei/zyang/android-sdk-linux\n",
+ "03:34:29 INFO : Target - CATAPULT_HOME: /data/lisa_fork/lisa/tools/catapult\n",
+ "03:34:29 INFO : Target - Devlib modules to load: ['bl', 'hwmon', 'cpufreq']\n",
+ "03:34:29 INFO : Target - Connecting Android target [10.169.36.25:5555]\n",
+ "03:34:29 INFO : Target - Connection settings:\n",
+ "03:34:29 INFO : Target - {'device': '10.169.36.25:5555'}\n",
+ "03:34:31 INFO : Target - Initializing target workdir:\n",
+ "03:34:31 INFO : Target - /data/local/tmp/devlib-target\n",
+ "03:34:38 INFO : Target - Topology:\n",
+ "03:34:38 INFO : Target - [[0, 3, 4, 5], [1, 2]]\n",
+ "03:34:38 INFO : Platform - Loading default EM:\n",
+ "03:34:38 INFO : Platform - /data/lisa_fork/lisa/libs/utils/platforms/juno.json\n",
+ "03:34:39 WARNING : Event [dequeue_task_fair] not available for tracing\n",
+ "03:34:39 WARNING : Event [enqueue_task_fair] not available for tracing\n",
+ "03:34:39 WARNING : Event [set_next_entity] not available for tracing\n",
+ "03:34:39 INFO : FTrace - Enabled tracepoints:\n",
+ "03:34:39 INFO : FTrace - cpu_frequency\n",
+ "03:34:39 INFO : FTrace - sched_load_avg_cpu\n",
+ "03:34:39 INFO : FTrace - sched_load_avg_task\n",
+ "03:34:39 INFO : FTrace - sched_switch\n",
+ "03:34:39 INFO : FTrace - dequeue_task_fair\n",
+ "03:34:39 INFO : FTrace - enqueue_task_fair\n",
+ "03:34:39 INFO : FTrace - set_next_entity\n",
+ "03:34:39 INFO : FTrace - cpu_capacity\n",
+ "03:34:39 INFO : FTrace - cpu_idle\n",
+ "03:34:39 INFO : FTrace - sched_blocked_reason\n",
+ "03:34:39 INFO : FTrace - sched_boost_cpu\n",
+ "03:34:39 INFO : FTrace - sched_boost_task\n",
+ "03:34:39 INFO : FTrace - sched_contrib_scale_f\n",
+ "03:34:39 INFO : FTrace - sched_cpu_hotplug\n",
+ "03:34:39 INFO : FTrace - sched_energy_diff\n",
+ "03:34:39 INFO : FTrace - sched_kthread_stop\n",
+ "03:34:39 INFO : FTrace - sched_kthread_stop_ret\n",
+ "03:34:39 INFO : FTrace - sched_load_avg_cpu\n",
+ "03:34:39 INFO : FTrace - sched_load_avg_task\n",
+ "03:34:39 INFO : FTrace - sched_migrate_task\n",
+ "03:34:39 INFO : FTrace - sched_move_numa\n",
+ "03:34:39 INFO : FTrace - sched_pi_setprio\n",
+ "03:34:39 INFO : FTrace - sched_process_exec\n",
+ "03:34:39 INFO : FTrace - sched_process_exit\n",
+ "03:34:39 INFO : FTrace - sched_process_fork\n",
+ "03:34:39 INFO : FTrace - sched_process_free\n",
+ "03:34:39 INFO : FTrace - sched_process_wait\n",
+ "03:34:39 INFO : FTrace - sched_stat_blocked\n",
+ "03:34:39 INFO : FTrace - sched_stat_iowait\n",
+ "03:34:39 INFO : FTrace - sched_stat_runtime\n",
+ "03:34:39 INFO : FTrace - sched_stat_sleep\n",
+ "03:34:39 INFO : FTrace - sched_stat_wait\n",
+ "03:34:39 INFO : FTrace - sched_stick_numa\n",
+ "03:34:39 INFO : FTrace - sched_swap_numa\n",
+ "03:34:39 INFO : FTrace - sched_switch\n",
+ "03:34:39 INFO : FTrace - sched_tune_boostgroup_update\n",
+ "03:34:39 INFO : FTrace - sched_tune_config\n",
+ "03:34:39 INFO : FTrace - sched_tune_tasks_update\n",
+ "03:34:39 INFO : FTrace - sched_tune_filter\n",
+ "03:34:39 INFO : FTrace - sched_wait_task\n",
+ "03:34:39 INFO : FTrace - sched_wake_idle_without_ipi\n",
+ "03:34:39 INFO : FTrace - sched_wakeup\n",
+ "03:34:39 INFO : FTrace - sched_wakeup_new\n",
+ "03:34:39 WARNING : Target - Using configuration provided RTApp calibration\n",
+ "03:34:39 INFO : Target - Using RT-App calibration values:\n",
+ "03:34:39 INFO : Target - {\"0\": 361, \"1\": 138, \"2\": 138, \"3\": 352, \"4\": 360, \"5\": 353}\n",
+ "03:34:39 WARNING : TestEnv - Wipe previous contents of the results folder:\n",
+ "03:34:39 WARNING : TestEnv - /data/lisa_fork/lisa/results/prefer_idle\n",
+ "03:34:39 INFO : HWMon - Scanning for HWMON channels, may take some time...\n",
+ "03:34:39 INFO : HWMon - Channels selected for energy sampling:\n",
+ "03:34:39 INFO : HWMon - BOARDBIG_energy\n",
+ "03:34:39 INFO : HWMon - BOARDLITTLE_energy\n",
+ "03:34:39 INFO : TestEnv - Set results folder to:\n",
+ "03:34:39 INFO : TestEnv - /data/lisa_fork/lisa/results/prefer_idle\n",
+ "03:34:39 INFO : TestEnv - Experiment results available also in:\n",
+ "03:34:39 INFO : TestEnv - /data/lisa_fork/lisa/results_latest\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Support to access the remote target\n",
+ "import devlib\n",
+ "from env import TestEnv\n",
+ "\n",
+ "# Initialize a test environment using:\n",
+ "# the provided target configuration (my_target_conf)\n",
+ "# the provided test configuration (my_test_conf)\n",
+ "te = TestEnv(target_conf=my_target_conf, test_conf=my_tests_conf)\n",
+ "target = te.target"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Workload configuration"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:39:30 INFO : WlGen - Setup new workload simple\n",
+ "03:39:30 DEBUG : WlGen - Setup step [postrun] callback to [__postrun] function\n",
+ "03:39:30 DEBUG : WlGen - Configuring a profile-based workload...\n",
+ "03:39:30 DEBUG : RTApp - ref on big cpu: 1\n",
+ "03:39:30 INFO : RTApp - Workload duration defined by longest task\n",
+ "03:39:30 INFO : RTApp - Default policy: SCHED_OTHER\n",
+ "03:39:30 INFO : RTApp - ------------------------\n",
+ "03:39:30 INFO : RTApp - task [period_1], sched: using default policy\n",
+ "03:39:30 INFO : RTApp - | calibration CPU: 1\n",
+ "03:39:30 INFO : RTApp - | loops count: 1\n",
+ "03:39:30 INFO : RTApp - + phase_000001: duration 10.000000 [s] (100 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 10 %\n",
+ "03:39:30 INFO : RTApp - | run_time 10000 [us], sleep_time 90000 [us]\n",
+ "03:39:30 INFO : RTApp - ------------------------\n",
+ "03:39:30 INFO : RTApp - task [period_2], sched: using default policy\n",
+ "03:39:30 INFO : RTApp - | calibration CPU: 1\n",
+ "03:39:30 INFO : RTApp - | loops count: 1\n",
+ "03:39:30 INFO : RTApp - + phase_000001: duration 10.000000 [s] (100 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 50 %\n",
+ "03:39:30 INFO : RTApp - | run_time 50000 [us], sleep_time 50000 [us]\n",
+ "03:39:30 INFO : RTApp - ------------------------\n",
+ "03:39:30 INFO : RTApp - task [ramp_1], sched: using default policy\n",
+ "03:39:30 INFO : RTApp - | calibration CPU: 1\n",
+ "03:39:30 INFO : RTApp - | loops count: 1\n",
+ "03:39:30 INFO : RTApp - + phase_000001: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 5 %\n",
+ "03:39:30 INFO : RTApp - | run_time 5000 [us], sleep_time 95000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000002: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 25 %\n",
+ "03:39:30 INFO : RTApp - | run_time 25000 [us], sleep_time 75000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000003: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 45 %\n",
+ "03:39:30 INFO : RTApp - | run_time 45000 [us], sleep_time 55000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000004: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 65 %\n",
+ "03:39:30 INFO : RTApp - | run_time 65000 [us], sleep_time 35000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000005: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 85 %\n",
+ "03:39:30 INFO : RTApp - | run_time 85000 [us], sleep_time 15000 [us]\n",
+ "03:39:30 INFO : RTApp - ------------------------\n",
+ "03:39:30 INFO : RTApp - task [ramp_2], sched: using default policy\n",
+ "03:39:30 INFO : RTApp - | calibration CPU: 1\n",
+ "03:39:30 INFO : RTApp - | loops count: 1\n",
+ "03:39:30 INFO : RTApp - + phase_000001: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 10 %\n",
+ "03:39:30 INFO : RTApp - | run_time 10000 [us], sleep_time 90000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000002: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 15 %\n",
+ "03:39:30 INFO : RTApp - | run_time 15000 [us], sleep_time 85000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000003: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 20 %\n",
+ "03:39:30 INFO : RTApp - | run_time 20000 [us], sleep_time 80000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000004: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 25 %\n",
+ "03:39:30 INFO : RTApp - | run_time 25000 [us], sleep_time 75000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000005: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 30 %\n",
+ "03:39:30 INFO : RTApp - | run_time 30000 [us], sleep_time 70000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000006: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 35 %\n",
+ "03:39:30 INFO : RTApp - | run_time 35000 [us], sleep_time 65000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000007: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 40 %\n",
+ "03:39:30 INFO : RTApp - | run_time 40000 [us], sleep_time 60000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000008: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 45 %\n",
+ "03:39:30 INFO : RTApp - | run_time 45000 [us], sleep_time 55000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000009: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 50 %\n",
+ "03:39:30 INFO : RTApp - | run_time 50000 [us], sleep_time 50000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000010: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 55 %\n",
+ "03:39:30 INFO : RTApp - | run_time 55000 [us], sleep_time 45000 [us]\n",
+ "03:39:30 INFO : RTApp - + phase_000011: duration 1.000000 [s] (10 loops)\n",
+ "03:39:30 INFO : RTApp - | period 100000 [us], duty_cycle 60 %\n",
+ "03:39:30 INFO : RTApp - | run_time 60000 [us], sleep_time 40000 [us]\n",
+ "03:39:30 DEBUG : adb -s 10.169.36.25:5555 push 'simple_00.json' '/data/local/tmp/devlib-target'\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Support to configure and run RTApp based workloads\n",
+ "from wlgen import RTA, Periodic, Ramp\n",
+ "\n",
+ "# Create a new RTApp workload generator using the calibration values\n",
+ "# reported by the TestEnv module\n",
+ "rtapp = RTA(target, 'simple', calibration=te.calibration())\n",
+ "\n",
+ "# Configure this RTApp instance to:\n",
+ "rtapp.conf(\n",
+ " # 1. generate a \"profile based\" set of tasks\n",
+ " kind='profile',\n",
+ " \n",
+ " # 2. define the \"profile\" of each task\n",
+ " params={\n",
+ " \n",
+ " \"period_1\" : Periodic(\n",
+ " period_ms=100,\n",
+ " duty_cycle_pct=10,\n",
+ " duration_s=10,\n",
+ " ).get(),\n",
+ "\n",
+ " \"period_2\" : Periodic(\n",
+ " period_ms=100,\n",
+ " duty_cycle_pct=50,\n",
+ " duration_s=10,\n",
+ " ).get(),\n",
+ "\n",
+ " \n",
+ " \"ramp_1\" : Ramp(\n",
+ " start_pct=5, # intial load\n",
+ " end_pct=85, # end load\n",
+ " delta_pct=20, # load % increase...\n",
+ " time_s=1, # ... every 1 second \n",
+ " ).get(),\n",
+ "\n",
+ " \"ramp_2\" : Ramp(\n",
+ " start_pct=10, # intial load\n",
+ " end_pct=60, # end load\n",
+ " delta_pct=5, # load % increase...\n",
+ " time_s=1, # ... every 1 second \n",
+ " ).get(),\n",
+ "\n",
+ " },\n",
+ " \n",
+ " # 4. use this folder for task logfiles\n",
+ " run_dir=target.working_directory\n",
+ " \n",
+ ");"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Workload execution"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:39:33 INFO : Target ABI: arm64, CPus: ['A53', 'A57', 'A57', 'A53', 'A53', 'A53']\n",
+ "03:39:33 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_set_all_governors sched' | su\"\n",
+ "03:39:33 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor'\"\n",
+ "03:39:33 INFO : Target current governor: sched\n",
+ "03:39:33 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/devices/system/cpu/cpu0/cpufreq/scaling_max_freq'\"\n",
+ "03:39:33 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/devices/system/cpu/cpu0/cpufreq/scaling_cur_freq'\"\n",
+ "03:39:33 INFO : Target big CPU max CPUfreq:850000\n",
+ "\t\t Target big CPU current CPUfreq: 850000\n",
+ "03:39:33 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/devices/system/cpu/cpu1/cpufreq/scaling_max_freq'\"\n",
+ "03:39:33 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/devices/system/cpu/cpu1/cpufreq/scaling_cur_freq'\"\n",
+ "03:39:33 INFO : Target LITTLE CPU max CPUfreq:1100000 \n",
+ "\t\t Target LITTLE CPU current CPUfreq: 450000\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Set Sched governor\n",
+ "#\n",
+ "# For Juno big/LITTLE CPUs\n",
+ "#\n",
+ "logging.info(\"Target ABI: %s, CPus: %s\",\n",
+ " target.abi,\n",
+ " target.cpuinfo.cpu_names)\n",
+ "\n",
+ "target.cpufreq.set_all_governors('sched')\n",
+ "\n",
+ "logging.info(\"Target current governor: %s\",\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_governor\")\n",
+ " )\n",
+ "logging.info(\"Target big CPU max CPUfreq:%s\\n\\t\\t Target big CPU current CPUfreq: %s\", \n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_max_freq\"),\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu0/cpufreq/scaling_cur_freq\")\n",
+ " )\n",
+ "\n",
+ "logging.info(\"Target LITTLE CPU max CPUfreq:%s \\n\\t\\t Target LITTLE CPU current CPUfreq: %s\", \n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu1/cpufreq/scaling_max_freq\"),\n",
+ " target.read_value(\"/sys/devices/system/cpu/cpu1/cpufreq/scaling_cur_freq\")\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# schedtune.prefer_idle = 0"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:39:35 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/dev/stune/schedtune.prefer_idle'\"\n",
+ "03:39:35 INFO : /dev/stune/schedtune.prefer_idle = 0\n",
+ "03:39:35 DEBUG : adb -s 10.169.36.25:5555 shell \"echo 0 > /dev/stune/schedtune.prefer_idle\"\n",
+ "03:39:35 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/dev/stune/schedtune.prefer_idle'\"\n",
+ "03:39:36 INFO : /dev/stune/schedtune.prefer_idle = 0\n"
+ ]
+ }
+ ],
+ "source": [
+ "#\n",
+ "# configure prefer_idle\n",
+ "#\n",
+ "logging.info(\"/dev/stune/schedtune.prefer_idle = %s\", target.read_value(\"/dev/stune/schedtune.prefer_idle\"))\n",
+ "#os.system(\"uname -a\")\n",
+ "#target.execute(\"ls -al /dev/stune\")\n",
+ "target.execute(\"echo 0 > /dev/stune/schedtune.prefer_idle\")\n",
+ "logging.info(\"/dev/stune/schedtune.prefer_idle = %s\", target.read_value(\"/dev/stune/schedtune.prefer_idle\"))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:39:37 INFO : #### Setup FTrace\n",
+ "03:39:37 DEBUG : adb -s 10.169.36.25:5555 shell \"echo 'echo 10240 > '\\\\''/sys/kernel/debug/tracing/buffer_size_kb'\\\\''' | su\"\n",
+ "03:39:37 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/kernel/debug/tracing/buffer_size_kb'\"\n",
+ "03:39:37 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/trace-cmd reset' | su\"\n",
+ "03:39:38 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/trace-cmd start -e cpu_frequency -e sched_load_avg_cpu -e sched_load_avg_task -e sched_switch -e cpu_capacity -e cpu_idle -e sched_blocked_reason -e sched_boost_cpu -e sched_boost_task -e sched_contrib_scale_f -e sched_cpu_hotplug -e sched_energy_diff -e sched_kthread_stop -e sched_kthread_stop_ret -e sched_load_avg_cpu -e sched_load_avg_task -e sched_migrate_task -e sched_move_numa -e sched_pi_setprio -e sched_process_exec -e sched_process_exit -e sched_process_fork -e sched_process_free -e sched_process_wait -e sched_stat_blocked -e sched_stat_iowait -e sched_stat_runtime -e sched_stat_sleep -e sched_stat_wait -e sched_stick_numa -e sched_swap_numa -e sched_switch -e sched_tune_boostgroup_update -e sched_tune_config -e sched_tune_tasks_update -e sched_tune_filter -e sched_wait_task -e sched_wake_idle_without_ipi -e sched_wakeup -e sched_wakeup_new' | su\"\n",
+ "03:39:39 DEBUG : adb -s 10.169.36.25:5555 shell \"echo 'echo TRACE_MARKER_START > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "03:39:39 DEBUG : Trace CPUFreq frequencies\n",
+ "03:39:39 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "03:39:39 INFO : #### Start energy sampling\n",
+ "03:39:39 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "03:39:39 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "03:39:39 DEBUG : SAMPLE: {'BOARDBIG': {'total': 12.698899000000011, 'last': 111.052051, 'delta': 4.782876000000002}, 'BOARDLITTLE': {'total': 10.060172999999992, 'last': 85.994531, 'delta': 8.911429999999996}}\n",
+ "03:39:39 DEBUG : RESET: {'BOARDBIG': {'total': 0, 'last': 111.052051, 'delta': 0}, 'BOARDLITTLE': {'total': 0, 'last': 85.994531, 'delta': 0}}\n",
+ "03:39:39 INFO : #### Start RTApp execution\n",
+ "03:39:39 INFO : WlGen - Workload execution START:\n",
+ "03:39:39 INFO : WlGen - /data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\n",
+ "03:39:39 DEBUG : adb -s 10.169.36.25:5555 shell \"/data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\"\n",
+ "03:39:50 DEBUG : WlGen - Callback [postrun]...\n",
+ "03:39:50 DEBUG : RTApp - Pulling logfiles to [/data/lisa_fork/lisa/results/prefer_idle]...\n",
+ "03:39:50 DEBUG : adb -s 10.169.36.25:5555 shell ls '/data/local/tmp/devlib-target/*period_2*.log'\n",
+ "03:39:50 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-period_2-1.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:39:51 DEBUG : adb -s 10.169.36.25:5555 shell ls '/data/local/tmp/devlib-target/*ramp_2*.log'\n",
+ "03:39:51 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-ramp_2-2.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:39:51 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-ramp_2-3.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:39:51 DEBUG : adb -s 10.169.36.25:5555 shell ls '/data/local/tmp/devlib-target/*ramp_1*.log'\n",
+ "03:39:51 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-ramp_1-0.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:39:51 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-ramp_1-1.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:39:51 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-ramp_1-2.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:39:52 DEBUG : adb -s 10.169.36.25:5555 shell ls '/data/local/tmp/devlib-target/*period_1*.log'\n",
+ "03:39:52 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-period_1-0.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:39:52 DEBUG : RTApp - Pulling JSON to [/data/lisa_fork/lisa/results/prefer_idle]...\n",
+ "03:39:52 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/simple_00.json' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:39:52 DEBUG : RTApp - Saving output on [/data/lisa_fork/lisa/results/prefer_idle/output.log]...\n",
+ "03:39:52 DEBUG : WlGen - Workload execution COMPLETED\n",
+ "03:39:52 INFO : #### Read energy consumption: /data/lisa_fork/lisa/results/prefer_idle/energy.json\n",
+ "03:39:52 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "03:39:52 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "03:39:52 DEBUG : SAMPLE: {'BOARDBIG': {'total': 8.007968999999989, 'last': 119.06002, 'delta': 8.007968999999989}, 'BOARDLITTLE': {'total': 1.1401310000000109, 'last': 87.134662, 'delta': 1.1401310000000109}}\n",
+ "03:39:52 DEBUG : HWMon - Energy [ BOARDBIG]: 8.007969\n",
+ "03:39:52 DEBUG : HWMon - Energy [ BOARDLITTLE]: 1.140131\n",
+ "03:39:52 INFO : #### Stop FTrace\n",
+ "03:39:52 DEBUG : Trace CPUFreq frequencies\n",
+ "03:39:52 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "03:39:52 DEBUG : adb -s 10.169.36.25:5555 shell \"echo 'echo TRACE_MARKER_STOP > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "03:39:52 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/trace-cmd stop' | su\"\n",
+ "03:39:52 INFO : #### Save FTrace: /data/lisa_fork/lisa/results/prefer_idle/trace.dat\n",
+ "03:39:52 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/trace-cmd extract -o /data/local/tmp/devlib-target/trace.dat' | su\"\n",
+ "03:39:54 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/trace.dat' '/data/lisa_fork/lisa/results/prefer_idle/trace.dat'\n",
+ "03:39:55 INFO : #### Save platform description: /data/lisa_fork/lisa/results/prefer_idle/platform.json\n",
+ "03:39:55 DEBUG : Platform - Dump platform descriptor in [/data/lisa_fork/lisa/results/prefer_idle/platform.json]\n"
+ ]
+ }
+ ],
+ "source": [
+ "logging.info('#### Setup FTrace')\n",
+ "te.ftrace.start()\n",
+ "\n",
+ "logging.info('#### Start energy sampling')\n",
+ "te.emeter.reset()\n",
+ "\n",
+ "logging.info('#### Start RTApp execution')\n",
+ "rtapp.run(out_dir=te.res_dir, cgroup=\"\")\n",
+ "\n",
+ "logging.info('#### Read energy consumption: %s/energy.json', te.res_dir)\n",
+ "(nrg, nrg_file) = te.emeter.report(out_dir=te.res_dir)\n",
+ "\n",
+ "logging.info('#### Stop FTrace')\n",
+ "te.ftrace.stop()\n",
+ "\n",
+ "trace_file = os.path.join(te.res_dir, 'trace.dat')\n",
+ "logging.info('#### Save FTrace: %s', trace_file)\n",
+ "te.ftrace.get_trace(trace_file)\n",
+ "\n",
+ "logging.info('#### Save platform description: %s/platform.json', te.res_dir)\n",
+ "(plt, plt_file) = te.platform_dump(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Collected results"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:40:10 INFO : Content of the output folder /data/lisa_fork/lisa/results/prefer_idle\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "total 30312\r\n",
+ "drwxrwxr-x 2 zhifei zhifei 4096 2月 27 15:39 .\r\n",
+ "drwxrwxr-x 29 zhifei zhifei 4096 2月 27 15:34 ..\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 26210 2月 27 15:37 cluster_freqs.png\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 20962 2月 27 15:38 cpu_idle_state_residency.png\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 67 2月 27 15:39 energy.json\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 581 2月 27 15:39 output.log\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 1075 2月 27 15:39 platform.json\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 12560 2月 27 15:39 rt-app-period_1-0.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 12560 2月 27 15:39 rt-app-period_2-1.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 6360 2月 27 15:39 rt-app-ramp_1-0.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 6360 2月 27 15:39 rt-app-ramp_1-1.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 6360 2月 27 15:39 rt-app-ramp_1-2.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 13800 2月 27 15:39 rt-app-ramp_2-2.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 13800 2月 27 15:39 rt-app-ramp_2-3.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 12560 2月 27 15:35 rt-app-task_2-2.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 12560 2月 27 15:35 rt-app-task_2-3.log\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 5192 2月 27 15:39 simple_00.json\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 40006 2月 27 15:38 task_perf_period_1.png\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 36873 2月 27 15:38 task_perf_ramp_1.png\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 41621 2月 27 15:38 task_perf_ramp_2.png\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 37372 2月 27 15:38 task_perf_task_2.png\r\n",
+ "-rw-r--r-- 1 zhifei zhifei 7614464 2月 27 15:39 trace.dat\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 11849710 2月 27 15:37 trace.raw.txt\r\n",
+ "-rw-rw-r-- 1 zhifei zhifei 11198703 2月 27 15:37 trace.txt\r\n"
+ ]
+ }
+ ],
+ "source": [
+ "# All data are produced in the output folder defined by the TestEnv module\n",
+ "logging.info('Content of the output folder %s', te.res_dir)\n",
+ "!ls -la {te.res_dir}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:40:12 INFO : Generated RTApp JSON file:\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Inspect the JSON file used to run the application\n",
+ "with open('{}/simple_00.json'.format(te.res_dir), 'r') as fh:\n",
+ " rtapp_json = json.load(fh, )\n",
+ "logging.info('Generated RTApp JSON file:')\n",
+ "#print json.dumps(rtapp_json, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:40:13 INFO : Energy: /data/lisa_fork/lisa/results/prefer_idle/energy.json\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "{\n",
+ " \"LITTLE\": 1.1401310000000109, \n",
+ " \"big\": 8.007968999999989\n",
+ "}\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Dump the energy measured for the LITTLE and big clusters\n",
+ "logging.info('Energy: %s', nrg_file)\n",
+ "print json.dumps(nrg, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:40:14 INFO : Platform description: /data/lisa_fork/lisa/results/prefer_idle/platform.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Dump the platform descriptor, which could be useful for further analysis\n",
+ "# of the generated results\n",
+ "logging.info('Platform description: %s', plt_file)\n",
+ "#print json.dumps(plt, indent=4, sort_keys=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Trace inspection"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>\n",
+ "/*\n",
+ " * Copyright 2015-2016 ARM Limited\n",
+ " *\n",
+ " * Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+ " * you may not use this file except in compliance with the License.\n",
+ " * You may obtain a copy of the License at\n",
+ " *\n",
+ " * http://www.apache.org/licenses/LICENSE-2.0\n",
+ " *\n",
+ " * Unless required by applicable law or agreed to in writing, software\n",
+ " * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ " * See the License for the specific language governing permissions and\n",
+ " * limitations under the License.\n",
+ " */\n",
+ "\n",
+ ".d3-tip {\n",
+ " line-height: 1;\n",
+ " padding: 12px;\n",
+ " background: rgba(0, 0, 0, 0.6);\n",
+ " color: #fff;\n",
+ " border-radius: 2px;\n",
+ " position: absolute !important;\n",
+ " z-index: 99999;\n",
+ "}\n",
+ "\n",
+ ".d3-tip:after {\n",
+ " box-sizing: border-box;\n",
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+ " display: inline;\n",
+ " font-size: 10px;\n",
+ " width: 100%;\n",
+ " line-height: 1;\n",
+ " color: rgba(0, 0, 0, 0.6);\n",
+ " content: \"\\25BC\";\n",
+ " position: absolute !important;\n",
+ " z-index: 99999;\n",
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+ ".d3-tip.n:after {\n",
+ " margin: -1px 0 0 0;\n",
+ " top: 100%;\n",
+ " left: 0;\n",
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+ ".contextRect {\n",
+ " fill: lightgray;\n",
+ " fill-opacity: 0.5;\n",
+ " stroke: black;\n",
+ " stroke-width: 1;\n",
+ " stroke-opacity: 1;\n",
+ " pointer-events: none;\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "\n",
+ ".chart {\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "\n",
+ ".mini text {\n",
+ " font: 9px sans-serif;\n",
+ "}\n",
+ "\n",
+ ".main text {\n",
+ " font: 12px sans-serif;\n",
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+ "\n",
+ ".axis line, .axis path {\n",
+ " stroke: black;\n",
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+ "\n",
+ ".miniItem {\n",
+ " stroke-width: 8;\n",
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+ ".brush .extent {\n",
+ "\n",
+ " stroke: #000;\n",
+ " fill-opacity: .125;\n",
+ " shape-rendering: crispEdges;\n",
+ "}\n",
+ "</style>\n",
+ "<div id=\"fig_3189775f9a1743e5a3d9b1a61eb0eda5\" class=\"eventplot\">\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js\" -->\n",
+ "<!-- TRAPPY_PUBLISH_SOURCE_LIB = \"http://labratrevenge.com/d3-tip/javascripts/d3.tip.v0.6.3.js\" -->\n",
+ "\n",
+ " <script>\n",
+ " /* TRAPPY_PUBLISH_IMPORT = \"plotter/js/EventPlot.js\" */\n",
+ " /* TRAPPY_PUBLISH_REMOVE_START */\n",
+ " var req = require.config( {\n",
+ "\n",
+ " paths: {\n",
+ "\n",
+ " \"EventPlot\": '/nbextensions/plotter_scripts/EventPlot/EventPlot',\n",
+ " \"d3-tip\": '/nbextensions/plotter_scripts/EventPlot/d3.tip.v0.6.3',\n",
+ " \"d3-plotter\": '/nbextensions/plotter_scripts/EventPlot/d3.min'\n",
+ " },\n",
+ " waitSeconds: 15,\n",
+ " shim: {\n",
+ " \"d3-plotter\" : {\n",
+ " \"exports\" : \"d3\"\n",
+ " },\n",
+ " \"d3-tip\": [\"d3-plotter\"],\n",
+ " \"EventPlot\": {\n",
+ "\n",
+ " \"deps\": [\"d3-tip\", \"d3-plotter\" ],\n",
+ " \"exports\": \"EventPlot\"\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " /* TRAPPY_PUBLISH_REMOVE_STOP */\n",
+ " \n",
+ " req([\"require\", \"EventPlot\"], function() { /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " EventPlot.generate('fig_3189775f9a1743e5a3d9b1a61eb0eda5', '/nbextensions/', {\"lanes\": [{\"id\": 0, \"label\": \"CPU :0\"}, {\"id\": 1, \"label\": \"CPU :1\"}, {\"id\": 2, \"label\": \"CPU :2\"}, {\"id\": 3, \"label\": \"CPU :3\"}, {\"id\": 4, \"label\": \"CPU :4\"}, {\"id\": 5, \"label\": \"CPU :5\"}], \"colorMap\": null, \"keys\": [\"ramp_1-2688\", \"ramp_2-2689\", \"period_2-2687\", \"sh-2729\", \"sh-2707\", \"sh-2696\", \"sh-2674\", \"sh-2675\", \"sh-2719\", \"sh-2720\", \"adbd-2722\", \"adbd-2710\", \"adbd-2677\", \"adbd-2699\", \"adbd-2683\", \"su-2670\", \"adbd-2690\", \"ls-2692\", \"ls-2701\", \"adbd-2667\", \"adbd-2694\", \"sh-2705\", \"period_1-2686\", \"sh-2713\", \"sh-2725\", \"sh-2680\", \"sh-2670\", \"sh-2726\", \"sh-2671\", \"sh-2685\", \"sh-2716\", \"shutils-2676\", \"shutils-2721\", \"adbd-2680\", \"adbd-2726\", \"adbd-2716\", \"adbd-2671\", \"sh-2683\", \"adbd-2713\", \"adbd-2705\", \"sh-2701\", \"sh-2677\", \"system_server-469\", \"sh-2692\", \"sh-2662\", 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+ "source": [
+ "# Suport for FTrace events parsing and visualization\n",
+ "import trappy\n",
+ "\n",
+ "# NOTE: The interactive trace visualization is available only if you run\n",
+ "# the workload to generate a new trace-file\n",
+ "trappy.plotter.plot_trace(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Task Behavior"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:40:26 DEBUG : Loading [sched] events from trace in [/data/lisa_fork/lisa/results/prefer_idle]...\n",
+ "03:40:27 DEBUG : Parsing events: ['cpu_frequency', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_switch', 'dequeue_task_fair', 'enqueue_task_fair', 'set_next_entity', 'cpu_capacity', 'cpu_idle', 'sched_blocked_reason', 'sched_boost_cpu', 'sched_boost_task', 'sched_contrib_scale_f', 'sched_cpu_hotplug', 'sched_energy_diff', 'sched_kthread_stop', 'sched_kthread_stop_ret', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_migrate_task', 'sched_move_numa', 'sched_pi_setprio', 'sched_process_exec', 'sched_process_exit', 'sched_process_fork', 'sched_process_free', 'sched_process_wait', 'sched_stat_blocked', 'sched_stat_iowait', 'sched_stat_runtime', 'sched_stat_sleep', 'sched_stat_wait', 'sched_stick_numa', 'sched_swap_numa', 'sched_switch', 'sched_tune_boostgroup_update', 'sched_tune_config', 'sched_tune_tasks_update', 'sched_tune_filter', 'sched_wait_task', 'sched_wake_idle_without_ipi', 'sched_wakeup', 'sched_wakeup_new']\n",
+ "03:40:27 INFO : Parsing FTrace format...\n",
+ "03:40:30 DEBUG : Events found on trace:\n",
+ "03:40:30 DEBUG : - sched_load_avg_task\n",
+ "03:40:30 DEBUG : - sched_wakeup\n",
+ "03:40:30 DEBUG : - cpu_capacity\n",
+ "03:40:30 DEBUG : - cpu_idle\n",
+ "03:40:30 DEBUG : - sched_wakeup_new\n",
+ "03:40:30 DEBUG : - sched_stat_blocked\n",
+ "03:40:30 DEBUG : - sched_process_exit\n",
+ "03:40:30 DEBUG : - sched_contrib_scale_f\n",
+ "03:40:30 DEBUG : - sched_process_exec\n",
+ "03:40:30 DEBUG : - sched_process_wait\n",
+ "03:40:30 DEBUG : - cpu_frequency\n",
+ "03:40:30 DEBUG : - sched_boost_cpu\n",
+ "03:40:30 DEBUG : - sched_migrate_task\n",
+ "03:40:30 DEBUG : - sched_process_free\n",
+ "03:40:30 DEBUG : - sched_switch\n",
+ "03:40:30 DEBUG : - sched_stat_sleep\n",
+ "03:40:30 DEBUG : - sched_stat_wait\n",
+ "03:40:30 DEBUG : - sched_boost_task\n",
+ "03:40:30 DEBUG : - sched_load_avg_cpu\n",
+ "03:40:30 DEBUG : - sched_stat_runtime\n",
+ "03:40:30 DEBUG : - sched_stat_iowait\n",
+ "03:40:30 DEBUG : - sched_tune_tasks_update\n",
+ "03:40:30 DEBUG : - sched_process_fork\n",
+ "03:40:30 DEBUG : - sched_blocked_reason\n",
+ "03:40:30 INFO : Platform clusters verified to be Frequency coherent\n",
+ "03:40:30 DEBUG : Lookup dataset for tasks...\n",
+ "03:40:31 INFO : Collected events spans a 13.350 [s] time interval\n",
+ "03:40:31 INFO : Set plots time range to (0.000000, 13.349511)[s]\n",
+ "03:40:31 DEBUG : Registering [<trace.Trace object at 0x7fc9ef906250>] local data frames\n",
+ "03:40:31 DEBUG : functions_stats\n",
+ "03:40:31 DEBUG : trace_event\n",
+ "03:40:31 DEBUG : Analysis - Analysis: /data/lisa_fork/lisa/libs/utils/analysis\n",
+ "03:40:31 DEBUG : Analysis - Syspath: ['/data/lisa_fork/lisa/libs/utils/analysis', '/data/lisa_fork/lisa/libs/utils/analysis', '', '/data/lisa_fork/lisa/libs/bart', '/data/lisa_fork/lisa/libs/trappy', '/data/lisa_fork/lisa/libs/devlib', '/data/lisa_fork/lisa/libs/wlgen', '/data/lisa_fork/lisa/libs/utils', '/data/lisa_fork/lisa/ipynb/workshop', '/usr/lib/python2.7', '/usr/lib/python2.7/plat-x86_64-linux-gnu', '/usr/lib/python2.7/lib-tk', '/usr/lib/python2.7/lib-old', '/usr/lib/python2.7/lib-dynload', '/usr/local/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages', '/usr/local/lib/python2.7/dist-packages/IPython/extensions', '/home/zhifei/.ipython']\n",
+ "03:40:31 INFO : Registering trace analysis modules:\n",
+ "03:40:31 DEBUG : Analysis - Filename: tasks_analysis\n",
+ "03:40:31 DEBUG : Registering [<tasks_analysis.TasksAnalysis object at 0x7fc9f4263150>] local data frames\n",
+ "03:40:31 DEBUG : rt_tasks\n",
+ "03:40:31 DEBUG : top_big_tasks\n",
+ "03:40:31 DEBUG : top_wakeup_tasks\n",
+ "03:40:31 DEBUG : trace_event\n",
+ "03:40:31 INFO : tasks\n",
+ "03:40:31 DEBUG : Analysis - Filename: idle_analysis\n",
+ "03:40:31 DEBUG : Registering [<idle_analysis.IdleAnalysis object at 0x7fc9f4263810>] local data frames\n",
+ "03:40:31 DEBUG : cluster_idle_state_residency\n",
+ "03:40:31 DEBUG : cpu_idle_state_residency\n",
+ "03:40:31 DEBUG : trace_event\n",
+ "03:40:31 INFO : idle\n",
+ "03:40:31 DEBUG : Analysis - Filename: latency_analysis\n",
+ "03:40:31 DEBUG : Registering [<latency_analysis.LatencyAnalysis object at 0x7fc9ef0020d0>] local data frames\n",
+ "03:40:31 DEBUG : latency_df\n",
+ "03:40:31 DEBUG : latency_preemption_df\n",
+ "03:40:31 DEBUG : latency_wakeup_df\n",
+ "03:40:31 DEBUG : trace_event\n",
+ "03:40:31 INFO : latency\n",
+ "03:40:31 DEBUG : Analysis - Filename: functions_analysis\n",
+ "03:40:31 DEBUG : Registering [<functions_analysis.FunctionsAnalysis object at 0x7fc9ef0025d0>] local data frames\n",
+ "03:40:31 DEBUG : trace_event\n",
+ "03:40:31 INFO : functions\n",
+ "03:40:31 DEBUG : Analysis - Filename: frequency_analysis\n",
+ "03:40:31 DEBUG : Registering [<frequency_analysis.FrequencyAnalysis object at 0x7fc9f4263b50>] local data frames\n",
+ "03:40:31 DEBUG : cluster_frequency_residency\n",
+ "03:40:31 DEBUG : cpu_frequency_residency\n",
+ "03:40:31 DEBUG : trace_event\n",
+ "03:40:31 INFO : frequency\n",
+ "03:40:31 DEBUG : Analysis - Filename: status_analysis\n",
+ "03:40:31 DEBUG : Registering [<status_analysis.StatusAnalysis object at 0x7fc9f4263e90>] local data frames\n",
+ "03:40:31 DEBUG : overutilized\n",
+ "03:40:31 DEBUG : trace_event\n",
+ "03:40:31 INFO : status\n",
+ "03:40:31 DEBUG : Analysis - Filename: eas_analysis\n",
+ "03:40:31 DEBUG : Registering [<eas_analysis.EasAnalysis object at 0x7fc9f4263510>] local data frames\n",
+ "03:40:31 DEBUG : trace_event\n",
+ "03:40:31 INFO : eas\n",
+ "03:40:31 DEBUG : Analysis - Filename: cpus_analysis\n",
+ "03:40:31 DEBUG : Registering [<cpus_analysis.CpusAnalysis object at 0x7fc9f4263f10>] local data frames\n",
+ "03:40:31 DEBUG : context_switches\n",
+ "03:40:31 DEBUG : trace_event\n",
+ "03:40:31 INFO : cpus\n"
+ ]
+ },
+ {
+ "data": {
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+ " *\n",
+ " * http://www.apache.org/licenses/LICENSE-2.0\n",
+ " *\n",
+ " * Unless required by applicable law or agreed to in writing, software\n",
+ " * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ " * See the License for the specific language governing permissions and\n",
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+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "events_to_parse = my_tests_conf['ftrace']['events']\n",
+ "\n",
+ "trace = Trace(plt, te.res_dir, events_to_parse)\n",
+ "\n",
+ "ftrace = trace.ftrace\n",
+ "\n",
+ "trappy.plotter.plot_trace(ftrace, execnames=['period_1', \"period_2\", \n",
+ " \"ramp_1\", \"ramp_2\", ])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Analysis"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:40:44 INFO : ftrace object =<trappy.ftrace.FTrace object at 0x7fc9eefdd1d0>\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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AECTrmqDNmzdr/vz5euihh/THP/5R27ZtU01NTdqfD+mgdK3CpDaXxBI+psQh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QkyZmr3+yU+QR/QzjsPOPts2mbBu6hIrEO8AnTkkeJu9cADVGZlSTLOq66y57rDJAFhEPS53LbN\nfCwrVEAogxAznx0+LHXshqTnRPrTn6g86ii6N/0365sRQZOFuYoKEZj37JF9d+wgAfSLL+j/jAxz\nTFBhoViP6upIGNeVNKs4FKtnqPcfK5e6FY5/1wkgkpEnyKmor5c8Qdx3gNCe33CDsLxxPy9cSH+A\nuMOxogvIt+L1ynnYEnHCCfKN8DvXtSsp8R6PLEZkZgK//jVt33yz5OeaMYPKq6+WfFe82DB0aJAI\nZBXTt48eLUIlK8qZmcnNE2R8RzmuhoUNTm7MrmYG+JjGn93T7EKPg6yqij2ep08fKuvq6F67dYvt\n+i7iQ7jxSCmxuscKpUIp5BsDjRET5HCB21ZMkO6x4GDE1C8OVuxSer41wG1Lo1y4aa5rQGopQUbo\nQoouaOguN4yyMoptAYI5b0KUKiYJMFI1Gwf7k082C0d2KUyt3B90tzK2jgCyinvWWVLHylZmpig7\nkybRdnU1sb3V1kYWmrxeyRPELlGDBwsbne56lJ1NgjS7JXk8OJrbyoJpebm4BZWVkQXr0CERsn/8\n0dzmHj3Mdfpqp5USxP2jWxrY2pdINMWkYkfA8PuDVp8tbEHMyAh9Jla02ZwXiPv+ggusWeRiSUyr\nJyvWrbVW57G6r4EDra9ndV/JhFU/eL3iHnrXXdHZpZQKfWftoKgo9Hz8PTNFfjSwcrZtGym9H33k\nmAknbRHpmw1nTbeLvXvjPzaRcLDAHRVGt20XLlwkFw6Zk5yvBOmrojt30nZBAVlz1q8XS8m6deJO\n9uKLROsMCGNSdTWtLgMSXKq7orEyolsavv9e4iO4w157jRiudOgua0boeYK++06sMFzH7kJAqP8/\nK0FffUWr9YBQQhcWAvffT4JnaSlt795Nws/IkfaDoKO5w9XW0gT+7bf0f1YWunDsELtYHXGEKEF7\n99Lx7dqJImNF1dyzp7muc2fzPegKIlM163VWSlA65wkyJksNWIK68v+6FXDwYHOy1KlThVKdXdKs\nFJVo/cMWmqwseU/Zfa62lhLmAtQ/dpINa1Ta/Zga+7jjzPtFs3I2NhqYLNXr9caXmd6YDypWGl+2\n/AwYQIsY/fq5FMCJhu5epTN+8m/GOv23aOfVrfMJRMqNhzoM7m22YoL0OEcHI6X7RUO6tANw29Jg\n1NWFhk00IZyvBOnscF270vbu3WTp0d082rQRkoOiImFIY8ak7t1lwmHlQLc0zJtHpb5qq69G9+pF\npZ4niIP2I60o6QLN8OHEFMT1gLSFwQoPQELfhReSosfWntxcoj8uKaHnoZ/LLrhNfFw4JYj3/e47\n2rYSCrt3F3e4oUOpH/LzRVD+8Ud77nDREqjyti5QGskZHO6i0WDo71LHjhL/w0QYugKvKyDcPz/7\nmcRbcf9Yscgde6y5f/QEqnzsMccIBT1bltq2FWKRYcPM5z7pJHv5iwYONNfp7UsGolFks2IeCbW1\nyVkx1xVktgRt2EDxYh99lBJJIVMakZQgv1/SKlgh2vvRmO9Puo+R0cDfyUMP0QKn+124cJE88Pd3\nxhnEfOmA78/5SlAk6EKKnlgzXILOSK5orATV1UmswosvyjF//COV550nipKuybZvT386uUEAQZ9L\nj8e8Krxrl+TR+f3v5Trl5cCXX4pix+5+evCtUaECxNoVCdwmzlWkW6OYzpqxcaNQVislMUFW7oP8\n3PPzpc7vNzOXlZaa+yIaLbPeP8b94oQtX9gUcPmYZ5XkNBzzlLFu5Up7iVb1Z62TcBihv9/h3Oqs\nrheoW8UJIaO5jiYSen4XIDxF9k9+EvEcpWPHAv/9LyX63bUrvsHebpu9XqG55/tq1Ypi9664wk0K\nmWjoSlB9feg4FU8QPr+Db79NngfPPksWocYQFpIdE5QMYgQDwraFF5Kuv54WhFLgu0iX+JN0aQfg\ntiVu8PfHsfAO+P6SvLQaJ3jAPfbY0HqdNaqqSlzf5s6V1VBWHqxyqVhRAWdkEDHCyy9TcPh77xFx\nAAv9XbpQrExNDa2wP/oo1bN1KVJn7t8PvPtu6H579oRaZrxeScKqn4sVlnvukbqJE83XsJNHwjiB\n6UrQlCkSzA7QNj8nvx9tWUhlQUufzLp2JRdFj0digqZPJ6sFIEx9CxcSg58OnUqZz6kzmXF/6rj6\nagn0TyfYETBat5bdeUN/v3U6bMbAgUEq6iCslI31683B9Nu3h54bCFVuR42iPtfj7BYssFZkjPe1\nbJm9/ZLlvsLf4SuvUD4r3TUNsNc/Xi9KARRWVpIr4d695vPYgR0liN1feVGGx8V9+9KTBcuJ8Pvp\n/X/vPbJ+5+RQgtP27ckyNG8e9X9pKX030eiZ+R38+GNyy77tNuCzzxwtrDcp4mGHSzekY5tcuEgw\nUsMSxB83u9n06GG9Ws2D4HnniQsQlwcPysoua75lZRLg/9RTVFZWSkzD/PkSc8S/f/ihCGf33y/X\ntpMnqLpacknwPWRkCFEB73fRRaZzBC1CjTEJRhosWaljHDwobF5+P/qxQsRKiT7xsMthx47iHnXV\nVRIfxM86P98s4G7fLnmcWIHS3Qz5ehUVYqnTWdEY6RwTpEMjAjmFBWX9mVopILqLGT/j99+XmDZ+\nJ5nqXIduqeNnvH+/2aqoY/58+Z2PWbzYfF9aUtVgTJCVm159PfDvf5uvkyhEc4eLAi8zyTVECbFz\nLK+u3X23/M/H+v3E7Oci8SgulhXOwYOBe++lMe/ss2kRTU+WahdOzhPkYOU6aluUiq0fmhAx9Usq\n90kKwW1LA+EghT01lCAWOjZtotLKqgMA115L5ddfCxMcC3ZHH00rc4AICbm5Yp246y4qc3JE2Ro3\nzrxit3OnrHZzckmrhKVW2LzZ+r6NdazwJApGSuQVK8SV5vPPzfuzRSYnR6iTebDVmYvYqmCM7zHm\nCfrqK1plB4TxSrcEcf6YnTulX1gJys6W/knGgO/UScXKlVOHFbOh7orGSurll4uQrAvPkQYp3f3O\n2LcHD0qy1K1bze/2okX2GOPef5++Y/3cVq6ViUS4ZxDLAO7303gVL2JxAeT74rGvro7o7R96yNJN\n10UjgpVdK2tlJEXYzrukE/g0FA4SPhoV8bRLd9t24cJFs0RqKEE8wG3eLL7SRteS1q2l7sYbgV/8\ngrZZCerUySz8b9ki1olPP6VStzTo1qY775Rr8UR3+eVUVldHpKUO8bnk8/EqlN9PST8BEvDDxBU1\nKoyC68CBALO+zZ1L5ZFHCiU3t8njkZggFrz13Eas5OmK0Yknmp/7WWdRHwFkGQAoYJ6TpXKfFBYK\ny5+ei4gpimtrSZG96ipSrGKcCFPar1cTqvaz4lpTI4lM//c/UV6ZHW7FCrMCsny59AErQTNmAK+/\nTtuspH7/vVjqmJBhwwaJ2+JjNTc9TJsmsRHMILhoEcXHAJRIFAD+9S9gzhxqC1tcO3YUF1QGxxvd\ncENyAinDMXrZtAQF8wRxe+NBLEq4kbAhOxs480zgP/9J/MJKc4dSlEyYF+q2bgVefZXeU78/cq6m\nSH2sVOMqQRGul9TxMBGLS9o5o7YlhZTBlJ6nNKRLOwC3LQ3ChAmO+v6crwSNGxeanHDGjFAliJPQ\n6as6ffuaH/LRR5uF/27dxBLESkDr1pIsdfhwESz69zffG7t5tWkTnpZ6zBiMYAKDmhpRKNh9KCdH\nVs5ra2mlO1ECCyuQH39M//Nz0BOy8kSi510aMYLK7GzzOfUA4C1b6BnrStCgQfby0Bh/10t9u2NH\noezOzqY4iLfeImGvOWH37iBFdrsVK6guI0NYqPT8TCwUz5xJiiog7nDDhkmOKB4Mzz1XvgtWkHR2\nOI69O/poeU9YCcrOlmSpQ4fKPbByo7vDcdLVK68M3mMtMzbOmSMK+T//Gdr2N94gRZrvu7ExZgwt\nRvztb/Q/k56MGEHfzF//SvV/+1t0sgObClNYxGMJ4u8DIEV16dKG3YMLeyguFir5Ll1ocYtdIvmb\niQdOtEY3lBjBCXDqfblwkc6wimVvQjhfCXrnHVphYzz2GA1ePICxUMclQIxMvPLMgv6aNWbhX485\nYUFfHxh1SxALmrp73HvvUakHgxsxdSqyDh2i7cxM4NZbg/VBJEsr5tgBXoHn58D034AIXXl5Er+k\nKSVD2BLEFprSUskZdOCA2fXDyrWqVy9zXZcu5viRDh3kdyZiiBZQHANs+cI6NVlqfb1YZHRXTlbm\nf/c7scqwEnTkkaLMsDvc6NH2XDS7dgUuvZS2+b2prBRrE9fpQvvw4fL8PviAyhtuEKIM/f0KtLng\nhhuo7sYb6XhA3MlGjKB9r72WlG+rmLDGwNSptBjBJCTl5fT39dfUzl/9iur/8IfwzDZjxsA7ejSN\nRdXVNH7YsfLyQgXHG/r99ljlfD7giSdoW2et3LbNVYKShVGjKH0BQKyLv/kNLXo1NFlqkpDScQ6x\n5glSKtSLwcFI6X7RkC7tANy2xAWfj+S8deskPj8jg/569EjOPVjA2UrQ0qUkaOnCMOceYUGRrQ5s\nlQGIaGDYMNpm4WzUKLPwz3l+ABHecnOl7ttvzQKprjjx8TU1Ed3hgqivB557jrbZHY4TkiYTdhKV\nejzi7sd1LVpITBBTeffuLda4ZcsoJuTHH0nYBULzKjH69DHfQ9eu5jrdDYT7VxcmrAK+U0DYaBRY\nWcnC5bhi+P3WLGzGunD9Y9WPrGjxN6V/q6ecYs8KeOKJ9nIHcY6jZEG3cuqwo6SyInXeefR///72\nrLy8UMEKWMeO9ihEvV6JUWRkZZGVt7l8E00F3QLH88OhQzQefvAB/a4v0lkdG+ncTs0TlOrvVTLj\nC5MBB7kYuXARggkTKFUDu5jzQuhTTzU8braBcLYSNGgQrWpyPAhAjFNDh8rKKGeR1wfk1avtCXs6\nxTYfr1sarJQgnQSBhfAWLcK7w3G+EL1NgGjCHk9oPpxkwCp3i3HbaBEDgNpaiQlitG0r/TNiBOUm\n6dtXYkqshNlw+WPCsf2Fu68LLgjdP91jgvSEmDt3Bt3h1vNCgP5u6olKOSbovffEXW7WLCp/+MHc\nFxzHoKNbN/Pz3bAhci6fN94w/z54sLnuP/8x5wk6+WTzfj16hCrsiUY4Su5YYoLYChwrYnmXx4yh\n2C1OaszgJMxvvknuWOee6yaFTAS4r6qqJDnukCHAM8+Q9dDvF7IXKyRbmXBCTFCC0WxjghysmDar\n9yuFkJS2bN1KbMwOhLOVoD59qGRT2bBhNLl06UITDBDKVMX48UezoLJtm3ng01eC+Hi9ozIzzcfo\ncTHsZhKJGMHrFSUoP18sVLyy6/cDjz9O24WF9DduHBIKY5t0ZjZ+nrrwxs9GT4TJ7oNduoTuZ1y5\ntKJEtqsYGZnn9PsDKD4s0XDSpMJWAoCskAF3uG1Msa7f6+TJ8jxZSf31r8klDpCkuz/8YO4Lq+/n\no4/MdXqOK4Z+DzprHdcPGWI+z5Il5vNY7efxmCncE4Fx4+g7fP55+t/4XdpRgsaNw/ArrpC4ptWr\nY/u2Y7EOz5hBfRYOrVpRYmU3z0xiEG4hgHOYbd0a/ziSrnmeGrtNdp8TLyRNnkyLOA7IWO/CRdqC\nv7fVq2VOy8gAOBWGnbyWCYazk6UOGEA+1t2704A1cCC5GMycKX7ves4ShpWQvW1bZMGCJ66qKmGH\ne+opcikBhKL5+ONFsNmxgwSMDh0iDqIhPpesXOhud5x7p2tXoQVOJKyUIGM8zsGD5joAQ4YMoQ2O\n59CVoO7d6TlxrgyAlCBj3MjateYcDVaWOt1n28oS1ECktF+v9hxGcF8YabOzsszH2CWpsLKaWikl\nxjpmx4p03xHuIZgnKJplMJE49lhSWOrq6DvgoHZO1mxHQZk4EbkTJ5JL4Lx5ZB1dtsz+PdhdqR4x\nghgtI+HnP3dcMGpawejKMXw4zRGbN1O83vz5xIoYS7LUJkBM46HDiRHCtoUXK2fMoD6KJ4FxkpHS\n85SGdGkH4LalQcjKcpQl1tmWICY3YF/3t9+mCeXgQfG9PvdcKpctE2Hlww+FIdZjL1AAACAASURB\nVImVE12oYgG8vp5WSAEJdgaE3aq4WASeq66ikhUgQOJ7ImWynzBBVl/37hX651atZB8WVpctSw5F\ntp1A+N27Jf6HaZIrKoSCmZ+DPsH17EnPwuMR9jFmFwPkOUyfbr7e++9bK64MFvA3bhR67Xnz6JwP\nPkgrDcb7SVXYGSDatpVtK2tofb35PPPmyWIB98/bbxP9NSBMb1VVwoDGls/aWhG2+fupqxNrHb+z\nVVViZWLlHgCuv57K664TCyzHkh0+TBTngHxTVkpxwP0v4Xj8cXIX1F0HZ80Si60dJYgZ5thFzS4x\nAo8X7OpZVmZtYeb92H1QB7sIMyZPJqHbzRWUGFx2GZVeL42V/B3t2EFBwEDDkqW6MUGNj3S1sLlw\n4SSw9wp7qwBEctXYtP8NgLOVIGYE43whNTUkgOhCCFtOamslxmf0aEmoyUrQ/PnAJ5/QNsfj8L4A\nJRVk8Mr6xIlyrZtvplLPg8Jsc8YVdx133AGfzpzFZAMsPHo8omwwC1Wic3oYqcIXL5Zs86zw1NRI\nfhOmH8/MxHy2BFkRFbCimZ0t7GPXX0/KESBKUGmp9IUe42LMJ1RRQQIcEMwjg/p64LXXaDsnh/q3\nuJhW2mOELV9Yp06Ua9cGg+7rmPFt+3b5ViorReFhFrnFiyU2gZWNrCyz21xmpiQe5vddKWE21CnV\nWaDT31mON8rLk7o33qDyhx9EOeL3PisrSBm/6uyzqW7BglCWMyB83p7Gxj33kCLHA/XIkfR3yin0\nDjNb5aWXhidDmToVvmnTyJoN2CdGuOMOeqd5bDniCOtYw0gwUtn/7nf0Pri5ghKDZ56hd93no2/s\ns8/kt9GjKQ403KTvoBXRlI5zMCg1ttqSIslSU7pfNKRLOwC3LQ3CkCGOGvecrQQxWEhjIUyHvurJ\ntLK7d5sF/bPOAs45h7ZZGM/IkFU8nfVt5kwqmdY3N1dyB7FypVuW9u61xw7n94eeE6Bz8DGZmSQQ\nJir/CcP4bEaOlGfLlpvjjpOVd67TLV484WzbBrzyCm1zMs2vvqLnzfsZV84zMqSNfA8ej8Rj6Urj\nNdfIPdptV3PA4MFEKADg6+nTpZ7dNnWmOO7HNm1EGGMF1+MhN0wgtC+4z9hqk5kJPPwwbXNsWEaG\n7Ke7d7IiZkUKwO84IHmCPB5z4PiLL4riy/eVrP5lRYStxEx6MnUqlffdR/X/+U94BYXzgzGNt11L\nECNaW/keeaFIh1F5fP75JqUgbVZgH/iTT6b/p02j2KBI7m/RkqU29kKMExZ2mvoelEoZJcg2mtP8\n58JFI8HZShALaix8W61k6sIXC0unnx45zoH38/spWz0gySEBSV7K8HgkF1BuriTAY2vIiSeGZ4eb\nMAFe3e+Y2a0ef5zOUVws91Vfn9j8Jwy7zGwW+wVjgtgFa+tWsZL9+c+yCv3ll1SedJKcm/uqvp4Y\nq/g6fE9Mu63XsWVAt8CddBKVNTUSbM4uXTHAsXmC7EDrn5B2sLuinruKLUWHDtECAUBxIgApNOyy\nxf1TVwd8/jlt83dRXy99qpN6cLyXvvrNViT9/eHYsdpaWXDgBMS1tZTHC0A/zj+1ZYtY93Q3tBtv\nJOsgE3MkEuGECqOSYYXbb0fWH/4glrKCAhobOKdWNNglRrC6R50lECDrrt3ruogPvLjA7h8LFlA+\ntNGj6fnzApyD0eziHJw6thsQU784uE3N7v1KESSlLQ5W0J2tBHFMEAtpLIDrbjaHDpl94AcMMOcA\nWLPG7G7VurUIgxyrk50t8Qv8cmRny0reZ5+R4tKrl6y2l5eHZ5iZNSs0LoaZ2F56SQJlAXMbEgFe\npQxYEILPITfXLHQdeaQ5hkopWeW/4grz+a0oxXXTpy488vH6/sXFoXUejyhL+n7MutStGz2/iRNl\n5dXBk0CjYt06eTa6Oya7CuqCMLuReTxSz0qODs5pc9JJwJln0jbH2QHmRYScHFF6dUWfY7b0PrNy\nZWO3uPx8yjcFiPVl506J82IFKyuL2nf11ckhELGiDi8pEWvuk0+G/+5ZGM7Pp/vu1Mlevh+G3UnD\naj8jjfiNNzqChSetwdZUHRwbpFQoaUkscGpMkNOIEWJ9Tg4Wyly4SHs46PtzthLUq1fo/xyzwPWs\nOOhJTwFa9WSfehbiNm4U4YUFNqvg8VatzMLPoUPAlClyrM9HK9ElJSS433FHeAGHYwMY1dW0wr1q\nFR3DK+3HHWc+trHBghkrk/wcSkvNbdYpDTWF0s+5RzimZ/58yUOzZYs5wWQ49jErMgnjfkpZ78cx\nW5s2kYL2t7+Z97EBx/r12hkgcnOBX/4SAOBjCw0gCiLHeBnPy0oQW3DatCFLJiCWVp0JTk+CypZP\n/T0PxPIE61q3jmzF0N30OIFky5aSJ4itP9nZwPr1tM1xe+GSlyYKxn4wBnn+4Q8RFRufz0fn6NSp\n4dc2n5yuvWiR+Tc93hCw3sdF4sHzkt8fXkB3kDAQ83jo4AWnlI73NMCx81SMSJd2AG5b0gnOVoLC\ngVc6mWHNKHRNnCgxJGxpyc2VHD3c6VVVIuRxXI4e58Dw+0Xh4bwCuvtcrKusuhWFBahEu8DpsJP0\ncts2iX3ge/R4sJQVDlZO+vWTY1nJBIAbbqDy++/ld11Y5Lgrph0GhJFMr+O8MPqxzBZ4yy2koLEb\nXSIECqdOlOGUS85tw++9vgLdooVZqayokBwz/Izr6uwxCOblSeyX7mLKhAfaexMEuzLqqK0NnjuL\nGehuvhn46U9pm5VwthYlC+Hep1jeM6XoPbULVm74OztwwNraxAoZE5noaNeOSl7scNE0YCUompWi\nOcYEJQKuJciFCxcxwtlKkM5CBYirjzF/jVGwe+ABqWNXLj3/T4cOsi8Li/fcQ+W+fcJkFUlDZgEv\nmnuLMSbI66Vg2UgEComGUZjVY0D4XjMzhQVLoxkvOuGE0GPz8igXBiDubJmZwOuv0/aLL0p/8Xla\ntZI63Y2ElRkr1xJm/gOAm26iUleW4kDK+fWygAyQFeWddwAAXv5dFwI4EN7vF2G4ulq+KY4R6dXL\nHDS/d69YhdgNdN8+Ecy5bvdu6l9A3ueWLYFnn5X7BUJdPfWknkyRvWtXkBjhWP5G//UvUZQZOi14\nMhBOUOLvJ4og5fV6aV/jNxP5IOpj/qby8iK70VndA8d9BeKs8PrrdPzYsW5SyKaAUmYqcwcK4Ukd\nDxORLFVD1LakEEV2ys1TYZAu7QDctjQYDhr/nK0ERYMeQK9j/XqzK1durlgnWMDzeIBXX6VtPV6F\nWc7Y1QcgZerJJ83sTtFeIGZxAihAnWlUm9JH3ypfErtUPfig1F19NW1zm/1+s8JZVWVNtMBYscIc\nSF5bK6xWulBmVJYA4M47qVy7Vs7NgnJzi3NgAZnByTd19jTOcaXvN3++bHPfrFhBpZ5EmJ97RgZw\n0UW0ze6PGRnyvLnO45H4H/7NykKlu7Hp2+wOl5kpxAn8PX39tfnbWro0uYJLOLe+WC1B8dxzQ4gR\nmPXqZz+j8s47qW8nTbIfk+TCPqK9D1ZKEGDvvXBqTJAL58HtWxdOhYPfTWcrQXpCUUAELnYzYFcf\nq7gRYx3nGNKhlDn2AZCYI2a5AkiZOnQo9lwbPh9Kx44l5rRt28SdrilXZI0KYkaGuJ3pLyuTRWht\n3sqr/CxMLVsWmiwQCA3Ur60lpiRAlK7aWhGG9cSBHFukK5rGftT7zAoxCAyO9Ru3M2B4PEHLm09/\nd6MJz9w3nBfr8GHJeK+zvlm5hEb6fvjYPXuA88+nbZ0W+NJLqdSp6Hm/+nrKcQRgH1sxnn9eLBmM\nSEmJE4EGusMFY4LieYcaQoxgtJTHG5Tvwj6iubSlAGKKDXAaMYLhOlHbkkKWoJj6xcFtSqfYE7ct\n6YMIWT4dDB6AWZA25iqpq5OEjUylq69Q66uhjzxC5Vtvmc9fVAT8858Nu1evF6UACr1eYrnTBdam\ngnEC8/utJ7Xf/pZKbWDtzExd/OwzM8l1qWdPea41NdauS3l5ksCTiRX4fz4OCE1my/EU+uBuh6I4\nHTFmjLiIKRWMSzudmdwAcX3Tn5eeSJZz/OjB+tyXusvhf/9Lpa7IPPOMuY5dVEePpm/O46H+++lP\nKQaPv0NmeNSVILZGaffQli1+K1fSYsS6daHshL/5DbXhwIHkJRW2Wx9u30QqQVbgxY0dO6hMBp24\nCzN27KBvYe1aYPlyYQMtLw+NF4oEJ8cEOUngjud7cdL9u3DRnOCghaHUXCI0KkG8QszCcUYGcOqp\ntM1Uunl5sp9OWc00vOvWSR27LuiB/g1A0Ody+PBGOV/cGDOGBEpW7HQrDOdiybLQi7XA7gym1+b9\namuF6IHjQvLyhP44M1MmfF3IZugUzJxvSP9AOA5Fn7D0gPvcXIoBMx5nAynn1zt1aij1eyCmJkN/\nNlaWIO4LHcwOB4hipH8Dxm9K30+vY0GblR2lhM2N68Jh3z5TVRYvZCxbZk2D3a0buXvZSZ7bUDRQ\nCfJyPrF4SE8aMklw33HyYVfYaxocdRR9CwMGkGtiSQlw3XWh4y7gmP5J6ZggA2zFBKUIUm6eCoN0\naQfgtiWdkNpKECOS6w4L2fv2Ae+9R9tXXSX7suCun7NPHyrZjYvPw4k540VTv2wsRHP7jZMxQCvt\nDCZGmDhR6u69l0pdkTT2h+5+wwlggdB+4lxPuiD8j39QqVsa7r+fyp49pY6TbI4cSYols/4lAg4R\nUCyxaROVnI8EAGbMoFLvkwDpQEjuIFZkcnIk0aN+DFsP9LrrrjPXMZmFTsPMbqw6KxoTIjBzGSBW\nwBYt5N7YHa6iQpQu/T29917g3HMTGw/GBBR6zJXuwhqrJWjp0tjvwW5uGat7MRI3uO5wTYuGCNxu\nTJB9xPqcnDy2u3CRznDQOOTs2dH4oPj/r76isrKSFBMWmnUlg1dDmf0NkLgEXahnQUsHWxb0Fe/S\nUknMGSOCPpdNrQQxWEjSnw0niI3ybJZxclndIjF5MpUsmBoTv7KiowuzxsSbgFiUOPAeECVIZ4zj\nY0ePJsH0ggvkt8aOCXIyAlaykDxUVu8zuxlaoVUr62Ps1hnfpdatxW1Of5dYEdbJRvjYFi2C5w72\nyXXXiRsfn5v7dt68cK1pHDABBSvbrATx95uMmKBIuWV0WN0Lf39seU6G1cxFeChF1iCHI2ExQcmA\n4X5sxQSlCFJ+ngogXdoB2GxLUzIAx4B06pd44GwliFe6GSxkHzpEZWYmxUV88IE5serKlVTqL6JV\nTND48VTqq6WBJJQhrmFOIDRoLFi4IQUFZV1RYdrw7Oxg1XFMoBCJvKC8XPLHADLh6PEgTNXMlgQA\nePNNKnXh789/plJ3reK+/eMfG5Qs1bEIN0FPmBD67j79NABg2JVXSh0rqbo1bdAg87n4W2jZUlzj\n9L5nRjmdhpxp1PX9uM/4O6uoEAuivh9bH3XXsG7dqDx4MHg/w6+4gpSi554LkiUEc+EoRQQea9Yk\nZ4KJRpEdCT4fCidNora99RbRgMcyfihlT1Cz2ocVTtcS5AwoBQwcGP63aHBqTJBTr2cHKUSM4CJF\noS9ONnfo45zDvjtnz47GCYIFKRaKcnNlhba8PNRFi5Mu6kL2u+9SyXmCCgrE6sOCTZs24palWx8m\nTaK/OOKEHONzOW4cWc6YGUwXjjjfi56b6eWXqbzvvqCSmfmLX1Dd7bdT8kqr5LK1tcCSJfI//67T\nIzNat5ZtVkj1fmf3O72O+6e2NjRZaoyw1S9O+mBnzQp9xwOsbi1ZuczJkWfD1rTsbImt0WPSOBHp\n+PGUwDQrS6x7XboAxx1H2/o3YGRSzM+XBQNeoCgoAJ54grb5fB6POS9URoaw0vn9lHQ3Oxu5O3aQ\nBba4WJQobvNRR9H70LJlcujRjeMPu8mxMvjkk+EVG6+XlKBWrYhqvlOnyPl+ol3bCj5f6HfGcJUg\nZ8Gua2O4Y5OEmOcpJ42NQMj9OGbObQTYbovDrVvNqk8OHQolfXIw3DxBToYewwCErggbf7///lAX\nLY4F4nw0AHDxxVTu20fuCbt3i0JQVEQK0KFDEqC/bZsMrGPH0h/TQaciJk4k1yJmE2Oh1uMBfv97\n2v7JT8Tyw0ljS0vFKvbRR1SOGkUr8n6/kFCwdSgnR1bx+X/AmuJYHyiYIlufXB97zFzH+Z7atqV+\n5sSs6Q4jMcLDD1M5bhz1R00NWVAAep/z8khRvPVWqisvF8WCXaYmTSKloq6OBPQuXYCtW8WSVF4u\nigvHDk2aRKQMe/cCc+ZQXYCpDkoB339P214v9Y9S8g6Ul1N8l98veWyKiujctbVicS0tFfe7khKy\nGu3YQTFrFRWkEDU0Ri8ajMo9u8mdfTb9/4c/RFds4l1xrqiIbHHy+egv0j78mxXBhIvGQ7QJPZpr\no9OUiWQgwclSbe2fjs89HduUSmBvjYEDafHO66W/FHGNa45wthJkBA90RkpsgFbJ27cXYWvPHirn\nzhVl6auvaLtDBwp6Pucc+r1vX3phDx6kuupqEhI5t1Dr1ua4gBjgOJ9LXbi84w56rnl51OaSEmp3\n3770TIuLSehdtQro25fiT9q1o2NmzqTnefvtdL5Fi2gQNlJks0DNVNy5uaQQsYVAr8vNDa3z+811\nvN/BgyQss1IUIxzXL7EiQCJQWloKnH460WPPmUPv8OLFpGCecw4we7bU7dsHdO9OAnRxMdXxMT4f\nMfidcw65w/ExmzfTMatWSd2mTbT9zTeUT6uwkL693bupX3v1ondpwwbZr3t3OnbdOrkeny9wDz6e\nNABR1gGKERoyhBLltmpFClGcMXq20Vh5gnjxxt5B9Nz+/nf6/8ABa2sTK2SsmEa6T1ZUXSQO0fIE\nxSucJpEYIeXHQw2OzQEXB9KlX9KlHUCEttxxB43VnGOSF6scnNg9nfolHjg7TxC7dbRrRwIdWyY4\npkUfxPScIeza4/WK8MB1rMwA4h7EAfl6nc64xQHS6QJdCQKATz+l7SlTRADVnwnjpZdC//d6SRl5\n+GF6vnw+fu7t25OFYurU0PiqI4+kUrfkcR2XsdQlEk6dKDMzgaeeAlasQOnYsZSHiqG7vfG2Xtev\nn/l8do+x2q+wUL4r/fsyUsPr17W6Bm/rilC3bk2XW6ux8gRZxWSFA7d95kyyurZqFbn9kSxBHFPp\n1He4uUApyhOkx1E2JRrjfXCQOwuA2JVFp92/i/SC64IcGQ76/lKjp/Qgb8CcEd0IVmA4X4lepwuL\nvG1Vp7NYcYxDnHCcL6wxNocVHl3JCfNsvF5v6LPRt63AyulFF0ndhRdSqVtwuI7LWOqAuD4qx/UL\nww4xQn09ba9aBS/HzER6n/U6Jryw2i+eY6yeo9V+fI4I9xqxT/g3PU4pkWisPEHxJkuNlx2O8emn\nVP7lL/Tsxo5ND2KXVINSQrdu9Vu0Y5OkxCZsPGwCJTzl4j0jwLHzVIxIl3YANtqSIu8WkF79Eg+c\nbQli60HnzuSude21lOiTXa3CvWgsmOsmSK6zqwTplqV0eUnYNHvEEfQ/rzBznIhdAVd/Nryt78fK\np64g6cewC5PuytSQuuaCoiKyZm7eDKxfT8+8tFTcrewqQZHqGus8Db2HcPf15puJzQulI5oSZJe9\nLV6K7NatozPRRfr9vPPIosSxSy6aBlu3Su45K6SQwBSChtx3ItrsWoJcOAWuJSgU4dLdOADO7ik9\nBqigQCZ8LsO9aLrAHakuSXCMzyXHEXzwAcWDsOtSDP6qYduiC6t8vmQ/8xgn1pTzG+f+W7eO4mtK\nSoBJk+Br2rsKRQMXDEx90pQLEFZshoA9imw0Qp4gnTkxHPTJxLj/rl3Ckuki+dixg2hyN24kV+OS\nEmJv1MlNosGNCbKHePIEOWlsjwDb/eIgwdIKKf1+GRC1LSnybgHp1S/xwNmWIIbfD+zcaV6B1ZOZ\nunDRnGAV1+OiccAW07lz6X89xold3OwiXnpku8fp99KlC1kJW7QgQXvPHvpdz9fkInk46ih6XzZs\nIFbRkhIim2Fq+KZCCgloLmKE27fOgGsJShk4u6d0pWfbNjM7nJ5808FwpM9lnPfkyLbEiZRuixZf\nk9LtMMBWWxK94skWt5496X8jM2QsMUE1NfFbgqId5/MRTTnjwAFyG+bkt6WlVJaUkCLklMD8dMMZ\nZ1gnoGZE6stUjQlyotUhljxBKWQJSpfxPV3aAbgxQQ2Gg8YPZytBDKMbHD9A19UjfqTRgAQgcR9V\nUwxmdtqSbv3nRDQGOxxTwcdz7WiriV4vMWcyWrcm6zjHUnbrRteeNo0sQ03oEpz22Lw5POmE3w8M\nHZrU20kK7L7XyRhDHSRUuXCRdEtQfn5yr5cINJFbnrOVoMOHqfz/9u48Lqpy/wP4Z9hVUDZFYBhw\no9xITdPQNM0t0xREL2Iu9MubiRlWZmr3at5cuC7hTXO5GlpeFzDFtSxNrop5FZUUV9zZFAI1NwSG\n+f1xOgcGZgaGbQ7M5/16+cKZM3PO85w55zzn+yznuXABePoUGDhQeH3mjPBXrGV1dJT1U4/qUp9L\n5kV+6ko+AJnlpZJB0H9/+kl4HL1VBXodl6clqGRa7O2FJ+eJkx37+AiPUmfAXP1cXPTv58JC7UfB\nl1RdcwzpW58eNXruVXNgZJZjgmSuruQDkOGYIEMt0WWokd+lPGWmiY4PeY8JsrMTajbt7ISubyNG\nANHRQLNmQr/qJk2EsUJEQK0p1EjmxDFB4rWl5Jig9PRyfb/ZlSvC66go4SEFcXHlD0g0GuDyZcOT\nofboIbRAiH77TXv57dvCPENU/QxdewoL5TVGoK5eJ43NV13dD2R6NXm+R0YKfx0chAnka4OSQZEJ\nh7bIOwgaORL49lvAy0t4IlbfvkIQ9OiRsJxjgmqc2eWlFhSUZvebVDcx2ImOBrKyioKguDjh/ydP\nCq9btwamTtWe3LXY91X37glPYpw0CTh82LgWmcJC/dc3sdCzshJafcTJj21tAScnoVbw2TPAw4OV\nRHJQmSBIrmOC5KbETVW5xgTVEuX+XWSep1p9fJUgizFBzs7aLUCPHgnbdXLSHitaBpP+LmKF4+ef\na79fskytRvIOgoqPBdJoil5nZQl/7exMky6SH5kXAFSL9OgBJCQUBSEKhXAT+/LLwNGjQutLYqLw\nAAJHR/0X6+LXLGMZOp5jY4WCIzxcmEPtzh3h/YYNhS7E4jZPnhTGJJFpGQqCaut1q7amuzhTVXCt\nWgV89ln1rLsWVNqZhZpoCdLXBe7evaLxn40aCQ9ukZPvvxe6aovmzCkKgkwwn12Nt9EnJiYiPDwc\nH3zwAWJjYw1/+MIF4e/du8LJvXix9vK7d4VZ0OfM4ZigGsK81AAjbzBkm48KkEVegoJKj+EoLCya\nZLi4WbP0rubokSPGF4bt2wstPIGBwuu0NOF1+/bC6+Rk4MgRoHt3oTuwGAABQuXQw4dFLUO5ucL/\nO3QQAjWxBYnKZFQ5VZayWoJK3rgW354xLUHl+X2rckxQZR6MUM2TpZZrTJCprFtn1MdlcU2sAnUl\nH4ARY4LE63Z1CAvTvywoSOhF1bev/vnu/lQlv4sxTx69elWYOw0APvnE5OVSjQZBhYWFWLduHWbN\nmoUlS5YgPj4eaWlp+r+QmCj8ffRIKEhKzq9gbS1ElDXYdEYyZupZyKlm/O9/wt+qvniK6wsPB/76\n19LLjx8XApJvvil678kT4Rhp1kx4LTbvz5kD1ebNQhDy9ddFY4LKcu6cUGjFxAivLS2F1//3f8I1\n7oUXhGvh8eNFLeLF6brZ5jxBRjG6nAK0g9HSKxTGhYlOngROnxb+X7IbCFB0fOvStKn+ZYsWGU6j\nyJhrWnx89dykpKZW7frKCmo+/1w7H3//e9E8YDUpO1u4FiQmlvtf53HjtNfh4KB//ZculX5v3DjD\nx01lREZW37oBoF69qltXVU8RYCjf4hQWFy+Wf33G5FUMrpyctN+3tRW6QS9ZIrQG1dTYpNjYov3b\nvn3p4G/lSu3X4ljWc+dKN27UsBrtDnf16lW4u7uj8Z81qt27d8fJkyfh6emp+wvFu5JYWQFLlwJT\npmgvN0HzmbHMqi+sqfz0k9FfkW1ejFRX8gGUMy/iDekXXwgBS1WJjQUWLtQ/jsbQjW5KinBDkJgI\nrF8vjAnKyhIKokmTgO3bS1fUtG8vFAK6XovXPrE7W3i48M/bW3jggaWl7q52ut47elQYv1SV+6oO\nM7qcAormZirpp5+E32TbNmDuXOG9p0+FJ5sCRa12Io1G+CfWlP7+e1HQkp6uf1qIwkJh+a1bwo3Q\nli1G/946z72MDOG8qMyx8/PPpd+7fbvi6yup5D6Ejrzk52vnIzlZOIdqSmRkUQvfkydCl1tA6K6k\nq4VZlJ4O++KVHZGRRWOiAeHGs1evonzp2Bf45ZfqGz+9fHm5xx1WqJzKzTX+O/r8+GOVrerVV181\nnG8x3YWFwPz5Za/Q2dm4vF68KJQVy5drV2roWseyZcBHH+ldVaXvH8QKiEOHhL/nz2sHXwEBwNmz\n2t8R05mbW1SeA0V5ESv/akCNBkE5OTlwcXGRXjs7O+Pq1avl+3JBgXCDUhz7u5Po4cOqLdTEE7om\nC0oqm5VV0U1Edrb+m8+KKCgwakCpFrVa6Oeflyc09wNCja94s6vrqT0lawmLv9ZohGNPrRby6O0t\nzPUj0nWzYyhtSUnA5MlCoUkGVaqcKun0aeFGSDxOs7OFvyXLrsmTgT17ioIfcaLeevWAmTOF/4sB\nUPFjfsUKYO/eohsyX1/hmPPxqbqgt6Cg9HlmzE21rsqDqiy7xcBfXwuXeA0/c0a4buTnm6473PPP\nC601nTsLr4cNM/w7TZsm1JSL+3/bNuGv+PqXX4QxIOHhuvOUl1d0DSpZG18VMjK001OVkpOFv1WR\nbo1G2A9VlU4xEC2Ztn/8o2ifiNsVu0y7ugITJuhen/iZ8qRv0SLh/OnRighMygAAHa1JREFUo+h6\nYWdX9DuXtGuXwSCowgIChPskcV88eFB0DqrVwr4JD9efLl2cnICQkBotp+T9YARA6P5x4YJw4dLV\nXOjoKBwAQUGyLeDj4uLqTG29LPMi1joY2fSrMy82Nto3mG3aCH+trY07mSujZBN3GWT5m1SQ3ryI\nN4kPHgivxS5DjRoJv7uVlVADbqxnz4pqnCr6EANAOG7Eec18fQEAtz09oUpOFtL35AkwZIj2d9Rq\n7ffE14cOFa0L0J4QtTzEJ8QBwrXxhx/YXbgmiIN9Bw8WyqILF4THnIv03aT/9lvpx5uLN7SNGwP/\n+pf22LPix4OVlXaNqbu7cGOUmlr6eAOEYKlJE53JkM69gACh1lwMdOLji7ZpY1N0nn31le78iEpe\nj4u3hgBFx2RZgYAhCoWwr/74Q2t7cXFxeHXIEO1Wkz/+0O4CV1BQ9NCTN9+s3smExZZcoHzzGrZv\nL1SKiMFiyWtA8deHD2sfW1ZWuoPMSZOEv3Z2wljqivrtN+DXX/WnR093vQK1GlblqVQsWWEkptvC\nQnc3ZUN++EFoIRXLdDGdFhbC5NLG0pc2Ozthn+uqnLK0FAJZXcd4vXrarTeG9mPJbRc/lsV12Nho\n36eo1UKLka5rwZ9+z86Ga7FKn3Lbs8fwcnHfGOOll4R7+Rqk0GhqrkrkypUriImJwaw/L+jigNNh\nw4aV+uzBgwdrKllERGTAa6+9Zuok1BiWU0REtZOxZVWNtgS1bNkSd+7cQVZWFpycnBAfH48PPvhA\n52fNqdAlIiJ5YDlFRGQearQlCBAePRoVFQWNRoM+ffrorF0jIiIyFZZTRER1X40HQURERERERKZU\n45OlEhERERERmRKDICIiIiIiMiuyfER2YmIi1q9fD41Gg969e9fa/tjZ2dlYvnw5Hjx4AIVCgdde\new2DBg0ydbIqrLCwEDNmzICzszOmT59u6uRU2JMnT7Bq1SqkpKRAoVDgvffeQ6tWrUydrArZs2cP\nDh06BIVCAZVKhUmTJsHKSpandSkrV67E6dOn0ahRIyz+c9boR48eITIyEllZWWjSpAmmTp2K+vXr\nmzilhunKx8aNG3Hq1ClYWVnBzc0NkyZNkn0+AN15Ee3evRsbN27EunXrYG9vb6IUygfLKXliOSU/\nLKfkoa6UVVVZTsmuJaiwsBDr1q3DrFmzsGTJEsTHxyOt+IyytYilpSXGjRuHpUuXYt68edi/f3+t\nzQsA7Nu3z/Cs6bVEVFQUOnbsiC+//BKLFi2qtXnKycnBjz/+iIiICCxevBhqtRrxxecOkLnevXtL\njyEWxcbGon379li2bBnatm2LHdU5d0cV0ZUPPz8/LFmyBIsWLYK7u7v0mGW505UXQLhRPnv2LFxd\nXU2QKvlhOSVfLKfkheWUfNSVsqoqyynZBUFXr16Fu7s7GjduDCsrK3Tv3h0nT540dbIqxNHRET5/\nTqBnZ2cHT09P5FR0RnoTy87OxpkzZ2r9I2GfPHmCS5cuoXfv3gCEGwC513oYUlhYiNzcXKjVajx7\n9gxORk60akrPP/88GpSYsC4hIQG9evUCALz66qu14tzXlQ8/Pz9Y/Dl5Y6tWrZCdnW2KpBlNV14A\nYMOGDRgzZowJUiRPLKfkieWUPLGckoe6UlZVZTklu/bInJwcuBSbvdbZ2RlXr141YYqqRmZmJm7d\nulVrm7PFg+vJkyemTkqlZGZmwsHBAV9//TVu3bqF5s2bIzQ0FDY2NqZOmtGcnZ0xePBgTJo0Cba2\ntvDz84Ofn5+pk1UpDx48gKOjIwDh5uzBgwcmTlHlHTp0CN27dzd1MiosISEBLi4uUKlUpk6KbLCc\nkieWU/LDcqr2qM1lVUXLKdm1BNVFubm5WLp0KcaPHw87OztTJ8doYt9LHx8faDQa1OanqhcWFuLG\njRsYMGAAIiIiYGtrWyuaf3V5/PgxEhIS8PXXX2P16tXIzc3F0aNHTZ2sKqVQKEydhErZvn07LC0t\n0aNHD1MnpULy8vKwY8cOjBw5UnqvNp//pB/LKflgOVW71PZyCqjdZVVlyinZBUHOzs74/fffpdc5\nOTlwdnY2YYoqR61WY8mSJejZsye6dOli6uRUyKVLl5CQkIDJkydj2bJlOH/+PJYvX27qZFWIs7Mz\nXFxc0KJFCwBAt27dcP36dROnqmLOnTuHJk2awN7eHhYWFujatSsuX75s6mRViqOjI+7fvw8AuH//\nPho1amTiFFVcXFwczpw5gw8++MDUSamwO3fuIDMzE9OmTUNYWBhycnLw6aef1pmaz4piOSU/LKfk\nieWU/NX2sqoy5ZTsusO1bNkSd+7cQVZWFpycnBAfH19rfxhAeIqFUqms1U/bCQkJQUhICADgwoUL\n2L17NyZPnmziVFWMo6MjXFxckJ6eDg8PD5w7dw5KpdLUyaoQV1dXJCcnIy8vD9bW1jh37pxUaNYW\nJWtsX3zxRcTFxWHYsGGIi4tD586dTZi68iuZj8TEROzatQuff/45rK2tTZgy4xXPi0qlwr///W9p\nWVhYGCIiIsz+6XAsp+SH5ZQ8sZySl7pSVlVVOaXQyLDNODExEVFRUdBoNOjTp0+tffTopUuXMHv2\nbKhUKigUCigUCowaNQodOnQwddIqTCxcavOjR2/evInVq1ejoKCg1jwSUp+YmBgcO3YMlpaW8PHx\nwcSJE2vNo0eXLVuGCxcu4OHDh2jUqBFGjhyJLl264Msvv8Tvv/+Oxo0bY+rUqToHQMqJrnzs2LED\nBQUFcHBwACAMOH3nnXdMnNKy6cqLODgbACZPnoyFCxeafRAEsJySM5ZT8sJySh7qSllVleWULIMg\nIiIiIiKi6iK7MUFERERERETViUEQERERERGZFQZBRERERERkVhgEERERERGRWWEQREREREREZoVB\nEBERERERmRUGQUREREREZFYYBBERERERkVlhEERERERERGaFQRAREREREZkVBkFERERERGRWGAQR\nEREREZFZYRBERERERERmhUEQERERERGZFQZBRERERERkVhgEERERERGRWWEQREREREREZoVBEBER\nERERmRUGQUREREREZFYYBBERERERkVlhEERERERERGaFQRAREREREZkVBkFERERERGRWGAQRERER\nEZFZYRBERERERERmhUEQERERERGZFQZBRERERERkVhgEERERERGRWWEQREREREREZoVBEBERERER\nmRUGQUREREREZFYYBBERERERkVmxMnUCiIpLS0vD48ePoVAoTJ0UIiIiqiIajQYNGjSAp6enqZNC\nBIBBEMnIvXv3kJ+fzwskERFRHZSVlYV79+7BycnJ1EkhYnc4ko+srCy4urqaOhlERERUDVxdXZGV\nlWXqZBABYBBEMqJQKNgNjoiIqI5iOU9ywiCIiIiIiIjMCoMgIiIiIiIyKwyCiEiv5557DkePHq2S\ndb3zzjtYsGCBwc8cOnQIbdu2rZLtlVSVeanrbt68CXd3d+l1v379sGnTJhOmiEj+Nm3ahOHDh5s6\nGdUiIiIC4eHhpk4GUZViEERUhqZNm8Ld3R3u7u5o2LAhGjduLL0XHR1t0rQdPHgQHTt2hJubGwYP\nHozU1FSTpqcqsL94zSsZIPr4+CAjI8OEKTI/vM7UfiEhIfj+++8BAGq1Gg4ODkhJSTFxqqrG9OnT\nERkZCQC4fv06HBwcTJwiospjEES1hsXhwyZZx507d5CRkYGMjAyoVCps27ZNem/kyJGlPq9Wqyud\nzvLIzMzEmDFj8I9//AO3b99G+/btERoaWiPbJqqrDleyVKzo93mdqVs0Gk2drdCpy3kj88IgiGoN\nyyNHTL4OjUYDjUaj9d7cuXMxbtw4hIaGwsPDA1u3bsWJEyfQp08fKJVKtGrVCtOmTdO6aUlKSsKQ\nIUOgUqnQsmVLLFu2TFr/okWL4OfnBx8fH4SGhuLBgwc607Jz5074+flh8ODBsLW1xcyZM3H69Gnc\nuHFD5+c3bNiAtm3bwt3dHX5+flKNJQCsW7cOnTp1gru7O7p27YqkpCRpWWJiIrp27QqlUom3334b\n+fn50rK9e/fi5ZdfhlKpRP/+/XHhwgVp2ZkzZ+Dv7w8PDw+Ehobi2bNnRuxpwcWLFzFw4EAolUp0\n69YN+/fvl5bt27dPWn+bNm0QERGh9d2NGzeiTZs28PHxwdKlS8u1PUO/2+TJkzF79mytzwcFBWHV\nqlUAgNOnT0vpGT9+PMaMGVNm9z9A+B3F73Xo0AGHDh0CIHRB+/zzz9GzZ08olUqEhIRIx4KuboOG\nuvuV7IpY/PuhoaHIyMhAYGAg3N3dsWLFigrV9F67dg2DBg2CSqWCj48PJkyYgIcPHwIAFi1ahPHj\nx2t9furUqZg5cyYA4MaNG+jXrx88PDwwbNgwhIeHY+LEiUZtv6ocsazczV1lvw/U7utMTk4OJk6c\niJYtW0KlUuGtt94CUHTMLVy4ECqVCu3bt8e2bduk75Xscrlhwwa8/vrrZe4rfXk0tG/EVppVq1ah\nXbt28PHx0Tq3DR3LAJCSkoLg4GD4+PjAx8cH06dPL5XmgQMHAgA6d+4Md3d37Ny5E506dcKBAwek\n9eTl5cHLy0vrulnc0aNH0adPH3h6eqJ169bYunUrAMPXPvHcXb9+PVq1agVfX1+sWLFCWl7RY2bu\n3Ll47733tPImtlQeO3YMSqUSV65ckdZz9+5dNGnSBPfu3SvzNyQyFQZBRFVgz549CA4ORnp6OoYP\nHw5ra2ssWrQIKSkpOHDgAA4cOIB169YBAP744w+8+eabeOONN3Dt2jUkJibilVdeAQB89dVX+Omn\nn/Dzzz/jypUraNCgAT7++GOd27x48SLat28vvXZwcIC3tzcuXrwIQLjxHDVqFADg4cOHmDlzJvbs\n2YOMjAz8/PPPaNeuHQAgOjoaixcvxvr165GRkYFNmzbB2dlZWu+OHTuwZ88enDt3DmfOnMHmzZsB\nAKdOncKUKVOwcuVKpKSkYOzYsQgODkZBQQHy8vIQHByMcePGISUlBW+88Qb27Nlj1D7Nz8/HiBEj\nMGjQINy6dQsLFizAuHHjpJsve3t7fPPNN0hPT0d0dDRWrlwpBUlJSUn4+OOPsX79eiQnJyMjIwOZ\nmZllbtPQ7zZixAitwDEnJweHDx9GUFAQ8vLyMGrUKISGhiIlJQVDhw4tV36PHz+OsLAwLFy4EOnp\n6di3bx+8vLyk5Vu2bMHatWuRnJyMwsJC6WYLMNxt8OjRo/Dx8TG4bfH7UVFRcHd3x44dO5CRkYGw\nsLAy16+LRqPB9OnTcePGDSQkJODmzZvSzdmIESOwf/9+PH36FIBwExobG4u//OUvAIDx48eje/fu\nuH37NqZNm4atW7eyplkHuV9nACGozs/PlwKlSZMmScvS0tLw5MkTXLt2DcuXL8ekSZP0BlNA2ceg\noTxaWVnp3Teiffv24dixYzh69ChiY2OlIMzQsaxWqzF8+HC0atUKFy9exOXLlxEYGFgqzfv374dG\no8GpU6eQkZGBoUOHYvTo0dL1U9y+t7c32rRpAwDo0qULduzYAUAYlxcUFIQpU6YgJSUF8fHxUsWF\noWuf6NixY0hKSsL27dsREREhVZAY2i+G9mdx4rbElkp/f38EBgZiy5Yt0meio6PRt29fTopKssYg\niGTN4vBhWM+bB+t582CzYAEa2NtX6p/NggXS+qqie53o5ZdfxoABAwAAtra26NixI1588UUoFAp4\ne3sjNDRUKoT27dsHlUqFiRMnwtraGvb29ujUqRMA4JtvvsGcOXPg5uYGGxsbfPrpp1KhWNLjx4/R\nsGFDrfcaNWqER48eAQCmTZumVeBaWFjg/PnzePbsGdzc3PDcc88BAL799lt8+OGH8PPzAwC0aNEC\nHh4e0vfCwsLQuHFjODk5YeDAgTh79iwA4eZ5woQJ6NChAxQKhVTje+rUKfz666+wsLDAu+++C0tL\nSwQFBeGFF14wap8eO3YM+fn5mDJlCiwtLdG7d2/069dPqj3u2bMnnn/+eQBAu3btMHz4cGkfx8bG\nYsiQIXjppZdgbW2NOXPmoLCwsMxtGvrdevbsifz8fJw4cQIAsH37dvj7+8PV1RXHjh2DpaUlJkyY\nAEtLSwQEBKBjx45lbu+7775DaGgoevbsCQDw8PBAy5YtpeUhISHw9fVFvXr18Nlnn2kFYYb06NED\nN2/eLNdnRSVbHozVsmVL9OrVC5aWlnB1dUVYWJi073x8fNCmTRspMDx48CCcnJzwwgsv4MaNGzh/\n/jxmzJgBKysrdO/eXTqXasphC2CetQLzrBVYYKOAfQOLCv9bYKOQ1lXZrnUlyf06k5aWhsOHD2PZ\nsmVo2LAhLC0t4e/vL33P0tISM2fOhLW1NXr16oW+ffvq3W55GMpjp06d9O4b0UcffYSGDRtCqVRi\n4sSJiImJAWD4WD5+/DhycnIwd+5c1KtXD7a2tujataveNBY/r4KDg/HDDz9IlQFbtmzRCiBPnjyJ\ngIAAAMDWrVvRv39/DBs2DBYWFnB2dpYqrgxd+wAhEJs5cyZsbW3Rrl07jB49Wsqbof1iaH+WJSQk\nRGvs2ubNm7XyRiRHVqZOAJEhhT17ovDPG0QAyJ81q1Lrs543r9Lr0EWpVGq9vnLlCmbOnIkzZ87g\n6dOnUKvV6Ny5MwAgNTUVzZo107melJQUjBw5EhYWwt2TRqOBhYUFMjMz0aRJE63PNmjQQKuLBiDU\n5Nnb25dar4ODA6KiorBs2TJMnDgR/v7+WLBgAVq0aIG0tDQ0b95cb96Kb7devXq4f/++lNaYmBip\nq4VGo0F+fj7S09ORl5cHT09PrfUUb+Eoj7t375b6jkqlQnp6OgDgf//7H+bMmYOLFy8iPz8feXl5\nGDFiBAChhrL49hs0aFCuGklDv5tCoUBgYCBiYmLw0ksvITo6Gm+//baU1pL5Lflal9TUVLz44ot6\nlxc/rlQqFZ49eybb7iV3797FtGnTcPz4cTx+/BhqtRqNGzeWlgcFBWHbtm0YMWIEYmJipHEud+7c\ngbOzM2xtbaXPKpVKZGdn11jaexYCPQuLblZn5Vc8IJxnrajU9w2R+3UmNTUVLi4uOpcBgLOzM+zs\n7KTXKpWqUg/gMJRHQ/tGVPwcLZ4WQ8dyWloavL29K9RS6enpic6dO2PXrl3o378/fvnlF/zrX//S\nmzd912VD1z5defPy8sJ///tfABU/ZsrSrVs3WFtb49dff0WjRo2QmpoqdZsjkiu2BBFVgZIF4pQp\nU9C2bVskJSUhPT0ds2bNkmoElUolrl+/rnM9SqUSu3btQkpKClJSUpCamqrzxgQAWrduLbXKAEKX\nt1u3bqF169Y61923b1/s3r0b165dQ7NmzTBlyhQAQ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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9efcfd610>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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bh0gJtZ0ItV5Fmp5vnGjjmW1Hg2yLk51k7ad8jxsdM4sTLG6oafuea5aGUXpm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oIee8yiZLydc87RJaKUIkYdmzLFwBkiqZGIdVwTUaXIBiZOl+nAbAHeH4NjABXOJHFBJYw1D1rF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kDG4lpotLshcJmMdgGIY2jh6PKcPEmFH6E4OrJzev++qnBjTAGHxskQQsrj48MqbdW7ZVc3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\nTIC/vz/Gjh3Lt5oYim/Hj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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9eefdd810>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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bm1VTUyMp/Be55uZmSeHuCe3t7Un/uhZ9cBobG3nN65y+jv7PkAnbw2u7Xtt0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\nXUs3nxM7duzI6tWrAQgODiYhIYE5c+YQGBjIAw88YIwiZ+3cV+z++++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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9ef2cdd10>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# NOTE: The interactive trace visualization is available only if you run\n",
+ "# the workload to generate a new trace-file\n",
+ "logging.info(\"ftrace object =%s\", ftrace)\n",
+ "#trappy.ftrace.plotClusterFrequencies()\n",
+ "\n",
+ "\n",
+ "trappy.LinePlot(ftrace,\n",
+ " signals=[\n",
+ " \"sched_load_avg_cpu:util_avg\",\n",
+ " \"cpu_capacity:capacity\"],\n",
+ " pivot=\"cpu\",\n",
+ " filters={\"cpu\": [0,3]},\n",
+ " marker = '+',\n",
+ " drawstyle='steps-post',\n",
+ " title=\"prefer_idle = 0\",\n",
+ " ylim=(0, 1100)).view()\n",
+ "trappy.LinePlot(ftrace,\n",
+ " signals=[\n",
+ " \"sched_load_avg_cpu:util_avg\",\n",
+ " \"cpu_capacity:capacity\"],\n",
+ " pivot=\"cpu\",\n",
+ " filters={\"cpu\": [1,2]},\n",
+ " marker = '+',\n",
+ " drawstyle='steps-post',\n",
+ " title=\"prefer_idle = 0\",\n",
+ " ylim=(0, 1100)).view()\n",
+ "trappy.LinePlot(ftrace,\n",
+ " signals=[\n",
+ " \"sched_load_avg_cpu:util_avg\",\n",
+ " \"cpu_capacity:capacity\"],\n",
+ " pivot=\"cpu\",\n",
+ " filters={\"cpu\": [4,5]},\n",
+ " marker = '+',\n",
+ " drawstyle='steps-post',\n",
+ " title=\"prefer_idle = 0\",\n",
+ " ylim=(0, 1100)).view()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:40:51 WARNING : Event [sched_overutilized] not found, plot DISABLED!\n",
+ "03:40:51 WARNING : Event [sched_overutilized] not found, plot DISABLED!\n",
+ "03:40:52 INFO : LITTLE cluster average frequency: 0.750 GHz\n",
+ "03:40:52 INFO : big cluster average frequency: 1.028 GHz\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "(0.7501341644735704, 1.0277564290206578)"
+ ]
+ },
+ "execution_count": 33,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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Ncj7bubPZ43GY8i23dMpNzleDjl/veJv2by37n6Vy/fy91ufbBue/JWD58sun27822hvH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\nbba32j5M0tqI2CdJEfEjSd0G9hhJD/Rcf0+xDhi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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9ef906d10>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "trace.analysis.frequency.plotClusterFrequencies(\"prefer_idle=0\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>time</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>idle_state</th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>0.538379</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>0.431178</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>7.336782</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " time\n",
+ "idle_state \n",
+ "0 0.538379\n",
+ "1 0.431178\n",
+ "2 7.336782"
+ ]
+ },
+ "execution_count": 34,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "trace.data_frame.cpu_idle_state_residency(1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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uTvLmDS9vW+xy47bPJvmFJP9pzmUDwKhoegFghKrqhCQvTHJ2a+0trbUvtdZu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\nAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9effb9bd0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ia = trace.analysis.idle\n",
+ "\n",
+ "# Actual time spent in each idle state\n",
+ "ia.plotCPUIdleStateResidency([0, 1,2, 3, 4, 5])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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rHQAG0LUOAHNCMQYAAGDUFGNYIJPWAWAAk9YBYCCT1gFgAJPWAWBOKMYAAACM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\nkoaaibEkSZIkaaiZGEuSJEmShtr/A17fJCo6gHhCAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9ee2fe110>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Percentage of time spent in each idle state\n",
+ "ia.plotCPUIdleStateResidency([0,1,2,3], pct=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:41:21 DEBUG : Found rt-app logfile for task [ramp_1]\n",
+ "03:41:21 DEBUG : Found rt-app logfile for task [ramp_2]\n",
+ "03:41:21 DEBUG : Found rt-app logfile for task [ramp_2]\n",
+ "03:41:21 DEBUG : Found rt-app logfile for task [period_1]\n",
+ "03:41:21 DEBUG : Found rt-app logfile for task [ramp_1]\n",
+ "03:41:21 DEBUG : Found rt-app logfile for task [task_2]\n",
+ "03:41:21 DEBUG : Found rt-app logfile for task [period_2]\n",
+ "03:41:21 DEBUG : Found rt-app logfile for task [ramp_1]\n",
+ "03:41:21 DEBUG : Found rt-app logfile for task [task_2]\n",
+ "03:41:21 DEBUG : Loading dataframe for task [period_2]...\n",
+ "03:41:21 DEBUG : Loading dataframe for task [ramp_2]...\n",
+ "03:41:21 DEBUG : Loading dataframe for task [ramp_1]...\n",
+ "03:41:21 DEBUG : Loading dataframe for task [period_1]...\n",
+ "03:41:21 DEBUG : Loading dataframe for task [task_2]...\n",
+ "03:41:21 INFO : PerfIndex, Task [period_2] avg: 0.73, std: 0.37\n",
+ "03:41:22 INFO : PerfIndex, Task [ramp_2] avg: 0.74, std: 0.28\n",
+ "03:41:23 INFO : PerfIndex, Task [ramp_1] avg: 0.65, std: 0.54\n",
+ "03:41:24 INFO : PerfIndex, Task [period_1] avg: 0.87, std: 0.09\n",
+ "03:41:25 INFO : PerfIndex, Task [task_2] avg: 0.69, std: 0.66\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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oqwk5vszqDAAAAADYziQNcV4qcnxLQl4VwL6+mPYPes9iv1PI8W03PgOMCTm+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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9f44c4910>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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ffZYvfOELPP7440se/9CHPsRnP/tZ/vznPwNw8803Mzg4CBSrOq+77rr88pe/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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9f4382750>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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C3XbbbRx//PFLJ6JauHAh3/ve99hxxx2XWe/xxx9nlVVW4aUvfSnPPPMMX/jC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\nWQCA/tb4jC/Qbny4gcTPAQr8HGAQPwtAIdPvAlmqZcrTKz2+jc/4AgA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E6yLijmYTAwAA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\nAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9ef4cc110>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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Dxyp/onpOnu54Trp5pM4yLJl5S2bOzcw/Z+YfgON59nXSr/NM8X7AdzPz0nr7i4HfUJ10\n6HdK/bgfBy6gOqECVeH6n5n5vcx8JjP/mJk31Pd9k/p3GRHTgJ2A7/TIfGlm3lx/fz1w/oDMCXym\nHtN9LVXBtHl9357A5zpen18d5OlZqz7GYx3L9geOysxf1/fdlpn3UJ1IeiYzj6ufyznAj1n6ZMv5\nmXlj/Xv8PvBQ3bKZ9WPdgqUd1/F6/hee/TvqtCOwemZ+qT7u7VQfut49yOPqtDfwb5l5d2Y+SnWC\no7P78WDPJQzyusvMW4A3UhWu5wMPRMQp9QmBgev+OTO/Vf9tP0n13rBNVJPPrUL12jgkMx/Iys/q\n5w0gIuLjVAX7jpk5f4iPXZKG43sRsZDq89GlVJ+r3gZ8NDP/VH+OOo6l36sXZOaJ9f+8wf6Hd7ow\nM3+Rmc8AZ/Ps/4a3ATdm5oX1e+ZxLN0L7SDgXzLz1nrbLwJb1EU5VCe01wJ+DszPzK8N9wlQ8yxy\npWGKiM0i4qK6+99i4NNUZ/7IzB9SvTl/Hbi37hrT2cqyB9W4udNHePi7O76fB/RPNDMDOKnuIrOQ\nqpXwSapWym7bdlqHqtjq/AA7D5hef79ul/tGwyJgcv8PmfkbqjOpRwH3R8Q3BxTxS4mI3SPi6rpr\n0SLg9dS/p9p9nV2hBzEZeGi44SPiJRHxnai6tD8EfGPA8QeaAezT/zusM28FvKQzc8f3/we8oP5+\nPaozz92cBbyzPpnxHuDHmbmwR+btI2Ju1N3tqQrvzsx/7mjhXpKh7kK2Ds99ffayqD7e8zuWrQf8\nrsu66wJ3DVjW+foEuL/j+8e7/PwCltbr76jT+sCGA34fH6VqkR2KdVn6OZgHrBHPdoPv+lx2/Dzo\n6y4z/zcz98zMFwNvoOre/08D16u7Kx8T1TCEh6haiKFq9X4JVYtyt+cdqs8IHwOOz8wHemWRpOW0\nR2ZOzcwNM/PvqN5nV6X6HNX//nsSS/8/GslJt17/Qwd+zhm4/xnA8R2fsf5IdaJyOkBmPk11EvQV\nVL18NA5Y5ErDdwrwC6ouyVOoWkaWtMjVLU5bUrXKbEHdpbT2ZeB/gf/q1uoyBOt1fL8+VZdcqN6M\nZ9f/JKZmZl9mviAzr+tYv9cEDPdRFd7rdyybASyov793wHE7u4muSL+m6ka5RGZ+MzO3p+q+9Dyq\n2Zfhud0rJ1G14B0BvKju/nspS7ecDnw+ej0/mwG/GkH+fwMeBV6eVdf19y/j+POpWmo7f4eTM/OE\nIRxrPrBxtzsy806q53J3qhbfbw6yn/OoumBNrzOfOSBzV3XL3/0M8XVSF3cLWPr3O5+q6+5A97D0\na5P65wVd1h2qgTm7XW5iPtW4187fx5TM/Jv6/mVNaHIPSz8HM4DHBxS2gxny6y4zr6Zqwf7LLne/\nj6rVd+f6d/oX9fKg+tt+mu7PO8CfqboBfiEiBhuXLknLY+D/mflUva1e2PH+u1ZmdvZ2aXJSqXt5\n7v+Zzv8T84GDunzG6p+PYTpVN+jTgWOjxzwPGl0WudLwvQBYnJmPRzWhzQH9d0TEthGxVVQz/T1O\n1Zra2VqYmXkA1Qfg79eta8Px8agmY9gAOAQ4t15+EvDp/okOoppI6q+HssO6C+OFVB9kJ0XERlRj\nVPuLoe8AH42IdSLiRXQZv9hNVBPvrEF1NnblqCa7Gs7Mzj8Ctu3fpm5B36l+zp6gen77Z5O9n6rr\nZr/nAasAD9Tb7k41BnMw9wMvHtC6CFV33R8uY9s16sfXfwuqlrhHgUfrCSo+NmCb+6iK9X5nAntG\nxBvq5+559fcvXsaxofpd7RYRe9Qtdy+KiFcOuP/TVM/Rfw2yn+cDCzPzqagmvRp4zdfBCt7vAIfV\nr88ZwAeXkfkilu4K/Q3gE/XYayJik6gmRrscWCkiPlw/tjdTFV7nLWP/g+X+cMfr+eM8+3fU6Yo6\nx6H173SVqCbA6h/TPvA1N9A5wD9ExHoRMZnqZNjZg2QaqOfrLqpJxv62zk/9PrQbcGWX1V9A9WFx\nUUS8gHoMGixpfTiLqoXixfXrbvv69QsQdffxvwK+EePomsaS2iurSfTmAP8eEZOj8rKI2GmYuxrq\nVSr+m2qY2Tvq/zOHUvVO6ncS8M8R8XJYMnno33TcfzrVSer3U32+W2piUI0Ni1xpcN3OFH6U6hqW\nD1O1zHZ+QF6LqsvKIqoJEe4E+lviOvc1u17ngqjGxQ3Vf1O17vwcOC8zzwbIzHPrLP9Rd0n8JfCm\nZTyOzmUfoPpnMI/q0iUn57OXS/oKVaFxE9WH6KEWFwdQdQc6ps7yf3XGIcnMu4GreXaG2efV+3qA\nqhXv+VSFG1S/g+fXXYmuqMda/iPVhEUPUrVi/vcyjvcr4D+BefV+1qoL3jcy+KVuEritfnyP11/f\nU2fbkarL6XepxtB2+gLViYWFEfGhrMZ3/z+q1ucHgd9TnWzof5/uedY6q3HUe1CN+1wIXAO8vGOV\n86laes/LzKcGeSwfAI6Jqhv+P/DcsbuDtX5/iqoL111UhfSZDO5knh33TWZ+i6qb1wX139b5wFr1\nWKu/oiq4/0h1Waq98tnx2EM5mz9wnXOpWvZvofp7GjgxVX8B+DbgdVR/F/dTzcL9/I59LHnNdTnO\n16gmy/pfqtfHg8DfD5Jpyc9DeN0toprU6sb6ufo+1YmM47use2p97Pvqx3rZgPsPperqfl293ud4\n9oNhAmQ1B8E7gbMi4vU9MknSSPR6D98XWI1qboqFVP8T1umx7nD3vfRK1WeGPakmb3yQqnfLFR33\nf49qHO659WesX1NNRkhEfJhqMqrP1Ku/D5gdEUsmrtLYiGfnlxhkpeqMRv+MZqdk5gn1uKLzqLpg\n3Un1oWNxvf4JVLOcPUbVhfL6evl+VB/CkmqCkbPq5VtSFQZrUM04+5GmHqBUooj4PVXBfG5mfrDu\n2vw48NKsJuMpWkT0X4N4FeDIzOw6mVVEvAr4SmbuOJr5Oo7/D8ALMvPwsTh+U+qWubuoZi7+37HO\n0y8iLqA6oTJnFI95L/D/xtPzMFBbXndSKSLipVS9GqZR9RA6OTO/HBGfpTph+4d61X/OalJASePc\nMovcuhvUOcDWVGN3fkjVDe1A4I+Z+a9Rzb7Yl5mfiIi3Us3UuFtEbEs1YcV2dVF8LdUlTIJqTOOW\nmbk4Iq6ut7kmIi6qt/nRinnIUnnaVuRqdEXEe6kuTdRtzOaEUkKRK2l0RcQ6wDqZeX3drf8XVL1j\n3gU8kplOJiQVZijdlTcDrs7MJ+qZSC+jutzI7jzbHe1MqjcD6q9nwZLJMKZEddmKXYA5mbk4Mx+i\n6mu/a/3GMjkzr6m3P4vqOlSSltbkJAvLLapLkDwS1UXV+2/9P2811vlUiYgrqbrjHjzWWcaJcfV3\nJGnsZeZ9/b0Os7rk1808O4P7UMd1ShpHhjIW8Ebg83VL7BNUY5SuBaZl5v1QvTnUhSxUbwqd027f\nXS8buHxBx/K7u6wvqVaPSxzOpE0rXD1h1eRlrqgxlZmvHesM40lmdrtckCQBENXEjltQzQmxA3Bw\nROxD9dn37/uH5kka35ZZ5GbmbyPiaODHVDOFXsfSs8UuWbXHLho7AxYRnoGXJEmaADJzVFtR667K\nFwCHZuajEXEi8LnMzIj4PNXkePt32c7Pp1KDmvjbH9Ksrpl5OtX02ETEUVQtsvdHxLTMvL/uctw/\nKH8BS19b6qX1sgUsfQmPl1LNbtlr/V5ZhhJZkiRJhXr2SlajdrxVqArcb2bm9wEy84GOVU5hkEuw\nlfD5dPbs2ZxxxhljHWNISslaSk4oJ2tTf/tDuoRQRKxdf12f6jIC36a61MbsepXZVJcwoF6+b73+\ndsBDdbfmHwFvrq8t1Ud1ncMf1dfCWhwR29QzgO7bsS9Jkp41dSpEPPc2depYJ5NUttOA32Tmkktx\n1Y04/f6aagifpAIM9fqc342IqcBTwIcy8+G6C/N3IuJ9VJcC2QsgMy+KiLdFxO1UlxD623r5oog4\nkmpMQwJH1BNQQTUhyhk8ewmhZqZnnzoVFi3qfl9fHyxc2Mz+RrKvtvG5kcanpt8Hx9qiRdCtxWSU\nW30ktUd9TdP3AjdExHVUn1P/Gdg7IraguqzQncBBYxayARtssMFYRxiyUrKWkhPKytqEIV0nd7yI\niBxW3ojuH4aWdd9w9zeSfbWNz400PjX9PjjWfK+RJoSIGPUxuSM17M+nY2Tu3LnMmjVrrGMMyfJk\n7T/nORq/konynI6mpv72h9RdWZIkSZKkEgy1u7IkSdKY2mCDDZg3b95Yx1CDZsyYwZ133jnWMSS1\njN2VhxfAbnK9+NxI45PdldUidTe2sY6hBvX6ndpdWSM1mt2V1Ty7K0uSJEmSNIBFrtqt1+VGmr7k\niJc1kSRJ49jcuXPHOsKQlZK1lJxQVtYmOCZX7dbrciPQ7CVHvKyJJEnSmLObssAxucMN4FiwXsbr\nczNa4xF77att1yhVeRyT25t/n8UpdUzumWeeyTe+8Q0uv/zy5drPSiutxO23387LXvayhpKNPcfk\nSurkmFypBAsXVh+8u916fbiWxrM2dc3v74Hh36cacsUVV7D99tuz1lpr8aIXvYgdd9yRX/ziF0D1\nwW15NbEPSZoILHIlSUPXqzAcrChsU2Es9fDII4/w9re/nUMPPZRFixaxYMECPvvZz7L66qs3dgxb\nC7U8ShqTWUrWUnJCWVmbYJFbEj8oSirRSApjqTC33norEcFee+1FRLD66qvzpje9ib/8y798zrof\n+chHWH/99ZkyZQpbb701V1xxxZL7nnnmGb7whS+w8cYbL7l/wYIFz9nHFVdcwfrrr89ll122Qh+X\nJJXIIrckflCUJGlcmjlzJiuvvDKzZ8/m4osv5qGHHuq57jbbbMOvf/1rFi1axN57782ee+7Jk08+\nCcAxxxzDeeedx8UXX8zixYs57bTTmDRp0lLbX3zxxbz3ve/lwgsvZKeddlqhj0vtMWvWrLGOMGSl\nZC0lJ5SVtQkWudJY6euzZV6SWmLy5MlcccUVrLTSShx44IGsvfbavOMd7+APf/jDc9bde++9WWut\ntVhppZX46Ec/yhNPPMEtt9wCwKmnnspRRx3FxhtvDMArX/lK+vr6lmz7ne98hw9+8INcfPHFbLXV\nVqPz4KSC9H+c0sRmkdsGvYolC6bxrdekVLbMa6LwvUtN6/V6Gu5thDbddFNOO+007rrrLm666SYW\nLFjARz7ykees96UvfYmXv/zl9PX10dfXx8MPP8yDDz4IwPz58wedPfn4449nr732YrPNNhtxTk1M\nJY3JLCVrKTmhrKxNmLhFbps+XDmDr6SRGOveBIO9d0H3bB0tWkN6LCN9PGP93DSp13wOg91KfJzQ\n+/U03FsDZs6cyezZs7npppuWWn755Zfzb//2b1xwwQUsWrSIRYsWseaaay6ZVGq99dbjjjvu6LrP\niOD888/nwgsv5IQTTmgkpyS10cQtci0MJU1047k3Qa9sva5d22TBPNj+xsNzM1yDXSrJ/4ONueWW\nWzj22GOXTBI1f/58zjnnHLbbbrul1nv00UdZddVVeeELX8iTTz7J5z73OR555JEl97///e/n05/+\nNLfffjsAN9xwA4vq30dmsu666/I///M/nHDCCZx00kmj9OjUBiWNySwlayk5oaysTZi4Ra56cxZn\nSW0y3IJZGoHJkydz9dVXs+222zJ58mRe97rXsfnmm3PMMccstd4uu+zCLrvswsyZM9lwww2ZNGkS\n66233pL7P/axj7HXXnvxlre8hSlTpvD+97+fxx9/HHj2Ornrrbcel1xyCUcffTSnnXba6D1ISSpE\nlHTNtYjIYeWNGFm3o17bDXd500ZynCa3GWxfY/3c9DKSzE0fZyz3JTX9vtHk+0OJSnwso/W/YxRE\nhNeKbZlev9N6eRHTBw378+kYmTt3bjGtecuTtX9Y/Wj8SibKczqamvrbb0dLbq+Wx8G6omn4Bhvz\n5nMtjS3fByVJanJovQrWjpbcps8425I7Plslp07tPU6sr69710NbcjVRjNZr0Jbc8h7LWP8faJAt\nue1jS66kTk397a/SRBhpVPRPntLNclzyYVh6Fdq2lkmSJEnjQju6K5dotCZ3GqyLcZu6Hvd6nE0/\nll6zlDph+PogAAAgAElEQVSBjSRJGsdKuk5qKVlLyQllZW2CLbkr2mAtf91aJfuL325GUrBNlOJr\nojxOSZIkSYNyTG73AzU3JnecjmsaNeN5rOp4Hac20V8zGhnH5I6OEh/LeH2vGwHH5LaPY3IldXJ2\nZUmSJEnq0D9iTRObRa4kSZLUciWNySwlayk5oaysTbDIlSRJkiS1hkWuJEnScvriF7/I2972tqWW\nbbLJJuy2225LLZs5cybnnXceK620Er/73e+WLP/Sl77E9OnTufnmm/npT3/KyiuvzJprrsmUKVPY\nbLPNOOOMMwCYN28eK620Es8888ywMw48piaWWbNmjXWEISslayk5oaysTbDIlSRJWk477bQTV155\n5ZJJlO677z6efvpprrvuuqWW3XHHHey8885Lbfv5z3+eE044gcsuu4zNNtsMgOnTp/Pwww+zePFi\nvvjFL3LAAQfw29/+FqgmZhmJkW4nSaWxyJUkSVpOW2+9NU8++STXX389AJdffjmvf/3r2XTTTZda\nttFGG7HOOuss2e5Tn/oUp5122pL7utljjz3o6+vjN7/5zaAZrrnmGl73utfR19fH9OnT+bu/+zue\nfvppAHbeeWcyk80335w111yT888/H4Af/OAHvPrVr6avr48ddtiBG264Ycn+NtxwQ4455hhe9apX\n0dfXx3ve8x6efPLJJfd///vf59WvfjVTpkxhk002Yc6cOVxwwQW85jWvWSrXscceyzvf+c6hPpVa\nQUoak1lK1lJyQllZm2CRK0mStJxWXXVVtt12Wy677DIALrvsMnbaaSd22GGH5yzr9/GPf5zzzz+f\nyy+/nBkzZnTdb2Zy4YUXsnjxYjbffPNBM6y88socd9xxLFy4kCuvvJKf/OQnnHjiiQD89Kc/BeCG\nG27g4YcfZs899+S6665j//3355RTTmHhwoUcdNBB7L777jz11FNL9nn++eczZ84cfv/73/OrX/1q\nSbfpn//85+y3334cc8wxLF68mMsuu4wNNtiA3XffnTvvvJNbbrllyT6+9a1vsd9++w3zGZVGJnNc\nXgFNo8wiV5IkqQE777zzkoL28ssvZ8cdd1yqyL388suXGhf34x//mF133ZXp06c/Z18LFixg6tSp\nrL322hx55JF861vfYuONNx70+FtuuSXbbLMNEcH666/PgQceuKS47dd5PddTTjmFD3zgA7zmNa8h\nIthnn31YffXVueqqq5asc+ihhzJt2jTWWmst3v72ty9plT7ttNPYf//9ecMb3gDAS17yEmbOnMlq\nq63Gu971Lr71rW8BcNNNNzFv3rznjE3W6CtpTGYpWUvJCWVlbcIqYx1AkqRi9PX1vgBjXx8sXDi6\nebSUOKKZMaf52ZE1A+20006ceOKJLFq0iAcffJCNNtqIF7/4xcyePZtFixZx4403LtWSe+655/K+\n972Pvr4+Dj/88KX2NX36dO66665hHf+2227jYx/7GNdeey2PP/44Tz/9NFtttVXP9efNm8dZZ53F\nl7/8ZaAqgJ966inuueeeJetMmzZtyfeTJk3i3nvvBWD+/Pk9C9d9992Xvffee0lxvtdee7HqqqsO\n67FI0vKwyJUkaagGK2Kd1GfMjbQ4bcprX/taHnroIU455RS23357ACZPnsy6667LKaecwvTp01l/\n/fWXrD9z5kwuueQSXv/61/O85z2Pj3/848t1/A9+8INsueWWnHfeeUyaNInjjz+e7373uz3XX2+9\n9TjssMP45Cc/Oexjrbfeetxxxx1d79t2221ZbbXVuPzyy/n2t7/NOeecM+z9q3lz584tpjWvlKyl\n5ISysjbB7spN6D+z3+3W1zfW6SRJ0ihYY401eM1rXsOxxx7LjjvuuGT59ttvz7HHHrtUK26/l7/8\n5fz4xz/mS1/6Escff/yQjpOZ/OlPf+KJJ55YcstMHnnkEdZcc00mTZrEb3/7W772ta8ttd0666yz\n1CWEDjjgAE466SR+/vOfA/DYY49x0UUX8dhjjy0zw/7778/pp5/OpZdeSmZyzz33LDUOd5999uGQ\nQw5htdVW43Wve92QHpckNcUitwkLFz47yn3gza5rkqSmTJ3a+6Tq1KljnU5U43IfeOABdthhhyXL\ndtxxRx544IGlLh3UeTmfzTffnIsvvpjPfe5znHzyycs8RkQwefJkJk2axPOe9zwmTZrEpZdeyjHH\nHMPZZ5/NmmuuyUEHHcS73/3upbY7/PDD2XfffZk6dSoXXHABW221FaeccgqHHHIIU6dOZebMmZx5\n5pldMw609dZbc/rpp/ORj3yEKVOmMGvWrKW6V++zzz7ceOON7LPPPst8PBodJbXilZK1lJxQVtYm\nRBY0/VhEZNe8Ec1Oo9Zrf00fZyJo8jkbrd/zaGYYq2OofUbrb20k748T5TU91u8PTf7vGqe/s4ig\npM8tE9mf/vQnpk2bxi9/+cuel0aC3r/TenkRYwB6fj7VmOg/N+OvpExN/e2X15Jrl2BJkqRx7cQT\nT2TrrbcetMDV6CrpOqmlZC0lJ5SVtQnlTTzlaRlJkqRxa8MNNwTge9/73hgnkTRRtaO7cvMHsrty\nU+yuPHy+zjQSdlcee2P9/mB3ZRXI7spqmt2VyzZxuytLkiRJktSDRa4kSZLUciWNySwlayk5oays\nTShvTK4kSZIkdWE3ZYFjcnsdyDG5TXFM7vD5OtNIOCZ37I31+4NjclUgx+RK6tTU374tudJ409f3\n7KwJ3e5buHB080jSODFjxgyi1/ujijRjxoyxjiCphRyTK403CxdWLSjdbosWjXU6SRozd955J5np\nrUW3O++8c6xfVhNGSWMyS8laSk4oK2sTLHIlSZIkSa3hmNzuB3JMblOmTu3e+jiSbrcTZUzueD6+\nxi/H5I49x+RKjXFMrjQxjep1ciPioxFxY0T8OiLOjojVImKDiLgqIm6NiHMiYpV63dUi4tyIuC0i\nroyI9Tv288l6+c0R8ZaO5btGxG/rfX18eR+UxpFeXW/tditJkqSGRfSe2kQTxzKL3IhYF/g7YMvM\n3Jxqsqr3AEcDx2TmTOAhYP96k/2BhZm5CXAc8K/1fl4O7AVsBrwVODEqKwFfAXYBXgG8JyL+ormH\nKEnSKOifNG5F3vr6hn/8wbaRNGGUNCazlKyl5ISysjZhqLMrrww8PyKeAZ4H3AO8nqrYBTgT+Czw\ndWCP+nuAC4Av19/vDpybmU8Dd0bEbcA2QAC3ZeY8gIg4t97Hb5fjcUmSNLrGeubzJo/vLO/SuPDV\nr36be+55tOt96677Ag4+eO9RTiSVYZlFbmbeExHHAHcB/wfMAX4JPJSZz9Sr3Q1Mr7+fDsyvt/1z\nRCyOiKn18is7dr2gXhb963fsa5sRPyJpqHp9iPMDnKSJbrD3QPsBSqPmnnseZcaMA7veN2/eycPa\n16xZsxpINDpKyVpKTigraxOG0l15LaqW1RnAusDzgV2HcQz/G2p8crywJEmS1DpD6a78JuB3mbkQ\nICIuBLYH1oqIlerW3JdStcxSf10PuCciVgbWzMyFEdG/vF//NgGs32V5V4cffviS72fNmjXhzkpI\nkiS1zdy5cyfcmMHRNnfu3GI+N5eStZScUFbWJgylyL0L2C4i1gCeAN4IXAO8ENgTOA/YD/h+vf5/\n1j9fXd//k47lZ0fEv1N1U94Y+DlVa/LGETEDuBd4N8+O9X2OziJXkiRJ5RvYcHHEEUeMXRgVzas5\nCYY2JvfnEXEBcB3wVP31ZOAi4NyIOLJedmq9yanAN+uJpf5IVbSSmb+JiO8Av6n386H6omJ/johD\nqMb6rgScmpk3N/gYJUmSpAmtpFa8UrKWkhPKytqEIc2unJlHAANPqf0e2LbLuk9QXSqo237+BfiX\nLssvBjYdShZJkiRJknpZ5sRT0gox2PUkp04d63TSxDbY36fXXJWkIpU05rmUrKXkhLKyNmGo18mV\nmuXlKaTxy0toSZKkgtmSq/GnVyuSLUi9nxtbvyVJ0iBKGpNZStZSckJZWZtgS67GH1uReuv13Nj6\nLUmStOQjkbMsT2y25EqSJEktV9KYzFKylpITysraBItcSZIkSVJrWORKkiRJLVfSmMxSspaSE8rK\n2gSLXEmSJElSa1jkSpIkSS1X0pjMUrKWkhPKytoEZ1eWBuq/TE+v+yRJkjQuOauywCJXei4vYSRJ\nklqmpDGZpWQtJSeUlbUJdleWJEmSJLWGRa4kSZLUciWNySwlayk5oaysTbDIlSRJkiS1hkWuJEmS\n1HIljcksJWspOaGsrE2wyJUkSZLUChG9L5KhicMiV5IkSWq5ksZklpK1lJxQVtYmWORKkiRJklrD\nIleSJElquZLGZJaStZScUFbWJljkSpIkSZJawyJXkiRJarmSxmSWkrWUnFBW1iasMtYBJEmSJKkJ\nmWOdQOOBLbmSJElSy5U0JrOUrKXkhLKyNsEiV5IkSZLUGha5kiRJUsuVNCazlKyl5ISysjbBIleS\nJEmS1BoWuZIkSVLLlTQms5SspeSEsrI2wSJXkiRJUitEVDdNbBa5kiRJUsuVNCazlKyl5ISysjbB\n6+RKkpZfX1/vU+d9faObRZIkTWgWuZKk5bdw4VgnkCQNoqQxmaVkLSUnlJW1CXZXliRJkiS1hkWu\npPFn6tRnZ47ovE2dOtbJJEkqUkljMkvJWkpOKCtrEyxyJY2NXoVs/7jOzOfeFi0a28ySpOEb7P3e\nk5dqWP9HBk1sjsmVNDYWLfK/kCT1MnVq9xN7fX3ljYEf7P3ea72MmpLGZJaStZScUFbWJljkSpIk\njTe9CkOLQklaJrsrS5IkSS1X0pjMUrKWkhPKytoEi1xJkiRJUmtY5EqSJEktV9KYzFKylpITysra\nBItcSZIkSa3QeaEGTVwWuZIkSVLLlTQms5SspeSEsrI2wSJXkiRJktQaFrmSJElSy5U0JrOUrKXk\nhLKyNsEiV9KKNXXqswNkOm99fWOdTJIkSS1kkStpxVq0CDKfe1u4cKyTSZI0YZQ0JrOUrKXkhLKy\nNsEiV1I5+vq6twoPdps6daxTS5KkUdJ/Ll0Tm0WupHIsXNi9VXiwG1gAS5ImvJLGZJaStZScUFbW\nJqwy1gEkaYUarFu0F9KTJElqnWW25EbEzIi4LiJ+WX9dHBEfjoi+iJgTEbdExI8iYkrHNidExG0R\ncX1EbNGxfL+IuLXeZt+O5VtGxK/r+45r/mFKLTdYN95erZW9JoSyhVOSpNYpaUxmKVlLyQllZW3C\nMovczLw1M1+dmVsCWwGPARcCnwAuycxNgZ8AnwSIiLcCG2XmJsBBwEn18j7gM8DWwLbAZzsK468B\n+2fmTGBmROzS4GOU2m+wbrzQvZCF3tssWjR2j0WSJElaDsMdk/sm4I7MnA/sAZxZLz+z/pn661kA\nmXk1MCUipgG7AHMyc3FmPgTMAXaNiHWAyZl5Tb39WcA7RvqAJA3QqwB2duPeLeAjackerGW8yZut\n7JKGy547oqwxmaVkLSUnlJW1CcMdk/su4Nv199My836AzLyvLmQBpgPzO7a5u142cPmCjuV3d1lf\nUimmTu3d+juer4fbq9AfyVjd/kslrWj9H1YHGs/Ps9ql/+RQt+WePBufBnt/cm4CtUxnZzVNXENu\nyY2IVYHdgfPrRQNfOr1eSr57SqUZbgtnr2vh2mLcPFvmNdZ6vQZHMsyhVwtj062LTR6nyVbRwfY1\nkhNXvfbnSTBR1pjMUrKWkhPKytqE4bTkvhX4RWY+WP98f0RMy8z76y7Hf6iXLwDW69jupfWyBcCs\nAcsvHWT9rg4//PAl38+aNWvCNb1Lo6LJFs4S9WqpWtY20kQ20r+bbs0tvXos9G8z3JM6vVoyB8vb\nq4dKr8z92wznORhsXyMxkh4lY90yXx9/LjB3xR9N0gQROcQ3w4g4B7g4M8+sfz4aWJiZR0fEJ4C1\nMvMTEfE24ODM3C0itgOOy8zt6omnrgW2pGpBvhbYKjMfioirgA8D1wD/DZyQmRd3yZBDzbtcInr/\nM7TvgyYy/zYkjbXBis/BTtD1KqYHG2oxHntIDPZ+2+R78Uj2NZLfTc/DB5lZxJnVFfn59LDDTmbG\njAO73jdv3skcdVT3+yYyuyuXram//SG15EbEJKpJpzr/ko4GvhMR7wPmAXsBZOZFEfG2iLidaibm\nv62XL4qII6mK2wSOqCegAjgYOANYA7ioW4EraRwY7Iy/JI2GJnuajMcidlkGazFv8r14Wcfp9tyN\n1twEkrQMQxqTm5n/l5lrZ+YjHcsWZuabMnPTzHxLR8FKZh6SmRtn5qsy85cdy8/IzE0yc2ZmntWx\n/BeZ+cr6vkObenCSGuZ4UEnj1WDXC2/TibjBLhnX5HvxSC5N16bnuYVKGpNZStZSckJZWZsw3NmV\nJUmSxh9Pto0en2uNY3YmEAz/OrmSJEmSClPSZK2lZC0lJ5SVtQkWuZIkSZKk1rDIlSRJklqupDGZ\npWQtJSeUlbUJFrmSJEmSpNawyJUkSZJarqQxmaVkLSUnlJW1CRa5kiRJklqh/4pWmtgsciVJkqSW\nK2lMZilZS8kJZWVtgtfJ7ab/gvLdlkuSJEmSxi2L3G68yLkkSZJapKQxmaVkLSUnlJW1CXZXliRJ\nkiS1hkWuJEmS1HIljcksJWspOaGsrE2wyJUkSdKEFREvjYifRMRNEXFDRHy4Xt4XEXMi4paI+FFE\nTBnrrFq2zOqmic0iV5IkSRPZ08DHMvMVwGuBgyPiL4BPAJdk5qbAT4BPjmHG5VbSmMxSspaSE8rK\n2gSLXEmSJE1YmXlfZl5ff/8ocDPwUmAP4Mx6tTOBd4xNQknDZZErSZIkARGxAbAFcBUwLTPvh6oQ\nBl48dsmWX0ljMkvJWkpOKCtrE7yEkCRJkia8iHgBcAFwaGY+GhEDR3b2HOk5e/ZsNthgAwDWWmst\ntthiiyXdQ/uLi5H+fMst1c+bbrr0z2uswbD2129584zGz9dff/24ytOGn/uNlzz9Px933HFcf/31\nS/5+mhJZ0MjsiMiS8kqSJGn4IoLMjFE83irAD4AfZubx9bKbgVmZeX9ErANcmpmbddl2hX0+Peyw\nk5kx48Cu982bdzJHHdX9PqlUTf3t211ZkiRJE91pwG/6C9zafwKz6+/3A74/2qE0fBHVTRObRa4k\nSZImrIjYHngv8IaIuC4ifhkRuwJHA2+OiFuANwJfHMucy6ukMZmlZC0lJ5SVtQmOyZUkSdKElZk/\nA1bucfebRjOLpGbYkitJkiS1XEnXSS0layk5oaysTbDIlSRJkiS1hkWuJEmS1HIljcksJWspOaGs\nrE1wTK4kSZKkVvBqowJbciVJkqTWK2lMZilZS8kJZWVtgkWuJEmSJKk1LHIlSZKklitpTGYpWUvJ\nCWVlbYJFriRJkiSpNSxyJUmSpJYraUxmKVlLyQllZW2CRa4kSZKkVoiobprYLHIlSZKklitpTGYp\nWUvJCWVlbYJFriRJkiSpNSxyJUmSpJYraUxmKVlLyQllZW2CRa4kSZIkqTUsciVJkqSWK2lMZilZ\nS8kJZWVtwipjHUCSJEmSmpA51gk0HtiSK0mSJLVcSWMyS8laSk4oK2sTLHIlSZIkSa1hkStJkiS1\nXEljMkvJWkpOKCtrEyxyJUmSJEmtYZErSZIktVxJYzJLyVpKTigraxMsciVJkiS1QkR108RmkStJ\nkiS1XEljMkvJWkpOKCtrEyxyJUmSJEmtYZErSZIktVxJYzJLyVpKTigraxMsciVJkiRJrWGRK0mS\nJLVcSWMyS8laSk4oK2sThlTkRsSUiDg/Im6OiJsiYtuI6IuIORFxS0T8KCKmdKx/QkTcFhHXR8QW\nHcv3i4hb62327Vi+ZUT8ur7vuGYfoiRJkqSJILO6aWIbakvu8cBFmbkZ8Crgt8AngEsyc1PgJ8An\nASLircBGmbkJcBBwUr28D/gMsDWwLfDZjsL4a8D+mTkTmBkRuzTx4CRJkiSVNSazlKyl5ISysjZh\nmUVuRKwJ7JiZpwNk5tOZuRjYAzizXu3M+mfqr2fV614NTImIacAuwJzMXJyZDwFzgF0jYh1gcmZe\nU29/FvCORh6dJEmSJGlCGUpL7obAgxFxekT8MiJOjohJwLTMvB8gM+8DptXrTwfmd2x/d71s4PIF\nHcvv7rK+JEmSpAaUNCazlKyl5ISysjZhlSGusyVwcGZeGxH/TtVVeWBv916932M58j3H4YcfvuT7\nWbNmTbimd0mSpLaZO3fuhPsQLmnFGUqRezcwPzOvrX/+LlWRe39ETMvM++sux3+o718ArNex/Uvr\nZQuAWQOWXzrI+l11FrmSJEkq38CGiyOOOGLswrRUSQ1DpWQtJSeUlbUJy+yuXHdJnh8RM+tFbwRu\nAv4TmF0vmw18v/7+P4F9ASJiO+Cheh8/At5cz9TcB7wZ+FHd1XlxRGwTEVFv278vSZIkSRqSiOqm\niW2osyt/GDg7Iq6nml35C8DRVEXrLcAbgC8CZOZFwO8j4nbg68CH6uWLgCOBa4GrgSPqCagADgZO\nBW4FbsvMixt4bJIkSZIoa0xmKVlLyQllZW3CULork5m/orr0z0Bv6rH+IT2WnwGc0WX5L4BXDiWL\nJEmSJEm9DLUlV5IkSVKhShqTWUrWUnJCWVmbYJErSZIkSWoNi1xJkiSp5Uoak1lK1lJyQllZmzCk\nMbmSJEmSNN5ljnUCjQe25EqSJEktV9KYzFKylpITysraBItcSZIkSVJrWORKkiRJLVfSmMxSspaS\nE8rK2gSLXEmSJElSa1jkSpIkSS1X0pjMUrKWkhPKytoEi1xJkiRJrRBR3TSxWeRKkiRJLVfSmMxS\nspaSE8rK2gSLXEmSJElSa1jkSpIkSS1X0pjMUrKWkhPKytoEi1xJkiRJUmtY5EqSJEktV9KYzFKy\nlpITysrahFXGOoAkSZIkNSFzrBNoPLAlV5IkSWq5ksZklpK1lJxQVtYmWORKkiRJklrDIleSJElq\nuZLGZJaStZScUFbWJljkSpIkSZJawyJXkiRJarmSxmSWkrWUnFBW1iZY5EqSJElqhYjqponNIleS\nJElquZLGZJaStZScUFbWJljkSpIkSZJawyJXkiRJarmSxmSWkrWUnFBW1iZY5EqSJEmSWsMiV5Ik\nSWq5ksZklpK1lJxQVtYmrDLWASRJkiSpCZljnUDjgS25kiRJUsuVNCazlKyl5ISysjbBIleSJEmS\n1BoWuZIkSVLLlTQms5SspeSEsrI2wSJXkiRJktQaFrmSJElSy5U0JrOUrKXkhLKyNsEiV5IkSVIr\nRFQ3TWwWuZIkSVLLlTQms5SspeSEsrI2wSJXkiRJktQaFrmSJElSy5U0JrOUrKXkhLKyNsEiV5Ik\nSZLUGha5kiRJUsuVNCazlKyl5ISysjZhlbEOIEmSJElNyBzrBBoPbMmVJEmSWq6kMZmlZC0lJ5SV\ntQkWuZIkSZKk1rDIlSRJklqupDGZpWQtJSeUlbUJFrmSJEmSpNawyJUkSZJarqQxmaVkLSUnlJW1\nCRa5kiRJklohorppYrPIlSRJklqupDGZpWQtJSeUlbUJQypyI+LOiPhVRFwXET+vl/VFxJyIuCUi\nfhQRUzrWPyEibouI6yNii47l+0XErfU2+3Ys3zIifl3fd1yTD1CSJEmSNHEMtSX3GWBWZr46M7ep\nl30CuCQzNwV+AnwSICLeCmyUmZsABwEn1cv7gM8AWwPbAp/tKIy/BuyfmTOBmRGxy/I/NEmSJElQ\n1pjMUrKWkhPKytqEoRa50WXdPYAz6+/PrH/uX34WQGZeDUyJiGnALsCczFycmQ8Bc4BdI2IdYHJm\nXlNvfxbwjpE8GEmSJEnSxDbUIjeBH0XENRHx/nrZtMy8HyAz7wOm1cunA/M7tr27XjZw+YKO5Xd3\nWV+SJElSA0oak1lK1lJyQllZm7DKENfbPjPvjYi1gTkRcQtV4dtp4M/9nN9MkiRJ0gqXvSoSTShD\nKnIz89766wMR8T1gG+D+iJiWmffXXY7/UK++AFivY/OX1ssWALMGLL90kPW7Ovzww5d8P2vWrAnX\nv1ySJKlt5s6dO+FamkZbSZ+ZS8laSk4oK2sTIpdxuiMiJgErZeajEfF8qrG0RwBvBBZm5tER8Qlg\nrcz8RES8DTg4M3eLiO2A4zJzu3riqWuBLam6SV8LbJWZD0XEVcCHgWuA/wZOyMyLu2TJZeWVJElS\n2SKCzCyiN+CK/Hx62GEnM2PGgV3vmzfvZI46qvt9Uqma+tsfypjcacAVEXEdcBXwX5k5BzgaeHPd\ndfkNwBcBMvMi4PcRcTvwdeBD9fJFwJFUxe3VwBH1BFQABwOnArcCt3UrcCVJkiSNTEkt5aVkLSUn\nlJW1CcvsrpyZvwe26LJ8IfCmHtsc0mP5GcAZXZb/AnjlsrJIkiRJkjSYoc6uLEmSJKlQJY3JLCVr\nKTmhrKxNsMiVJEmS1AoR1U0Tm0WuJEmS1HIljcksJWspOaGsrE2wyJUkSZIktYZFriRJktRyJY3J\nLCVrKTmhrKxNsMiVJEmSJLWGRa4kSZLUciWNySwlayk5oaysTVjmdXIlSZIkqQSZY51A44EtuZIk\nSVLLlTQms5SspeSEsrI2wSJXkiRJktQaFrmSJElSy5U0JrOUrKXkhLKyNsEiV5IkSZLUGha5kiRJ\nUsuVNCazlKyl5ISysjbBIleSJElSK0RUN01sFrmSJElSy5U0JrOUrKXkhLKyNsEiV5IkSZLUGha5\nkiRJUsuVNCazlKyl5ISysjbBIleSJEmS1BoWuZIkSVLLlTQms5SspeSEsrI2YZWxDiBJkiRJTcgc\n6wQaD2zJlSRJklqupDGZpWQtJSeUlbUJFrmSJEmSpNawyJUkSZJarqQxmaVkLSUnlJW1CRa5kiRJ\nkqTWsMiVJEmSWq6kMZmlZC0lJ5SVtQkWuZIkSZJaIaK6aWKzyJUkSZJarqQxmaVkLSUnlJW1CRa5\nklra1sUAACAASURBVCRJkqTWsMiVJEmSWq6kMZmlZC0lJ5SVtQkWuZIkSZKk1rDIlSRJklqupDGZ\npWQtJSeUlbUJq4x1AEmSJElqQuZYJ9B4YEuuJEmS1HIljcksJWspOaGsrE2wyJUkSdKEFRGnRsT9\nEfHrjmWfjYi7I+KX9W3XscwoaXgsciX9/+zdfZxkdXnn/c81zAoxCAxggIGhSVRQTPYedRd11XVI\nIkj0BeZhE4FbgRCRCD7EvHKjwawzifi0dxSJECUggWwQI9mIiajgrb2uD0EQJj4AAwZpxhlBFAYc\nCRHhuv+o02PRdPd095zuquvU5/16nddUnXPq1LeqT9fU1b9znSNJ0ii7CDhymvnvycxnNtOnljpU\n2yr1ZFbJWiUn1MraBotcSZIkjazM/AJw7zSLYqmzSGqHRa4kSZL0WKdFxPqIuCAidh90mB1VqSez\nStYqOaFW1jZ4dmVJkiTp0c4D/jQzMyLeBrwHOHmmlU888UQOOuggAPbYYw9Wr169raiYPEx0ofc3\nbOjdP+SQR9/fZRda2X7X7kf07mcORx7vz37/7LPPZv369dt+f9oSWeg82xGRlfJKkiRp/iKCzFyy\nw4UjYgz4x8z8j/NZ1ixftO+nZ555PmNjp0y7bGLifM46a/pl0xkfHy8zmrcjWaPZa5aiZBiV93Qp\ntfW77+HKkiRJGnVBXw9uROzbt+w3gG8seSJJC+bhypIkSRpZEXEpsAbYKyLuAN4KHB4Rq4FHgNuB\nVw8sYEsqjOJNqpK1Sk6olbUNFrmSJEkaWZl53DSzL1ryIJJa4+HKkiRJUsdVuk5qlaxVckKtrG1w\nJFeSJElSJ3iOWoEjuZIkSVLnVerJrJK1Sk6olbUNFrmSJEmSpM6wyJUkSZI6rlJPZpWsVXJCraxt\nsMiVJEmSJHXGnIvciFgWEddHxMeb+wdFxD9HxC0R8eGIWN7Mf1xEXBYRt0bElyPiwL5tvLmZf1NE\nHNE3/8URcXOzrTPafIGSJEnSqKvUk1kla5WcUCtrG+Yzkvt64Ma+++8C/jwzDwa2ACc3808G7snM\npwBnA+8GiIhDgd8GngYcBZwXPcuA9wNHAk8Hjo2Ipy78JUmSJEkaRRG9SaNtTkVuRBwA/BpwQd/s\nXwb+vrl9MfCy5vYxzX2Ay5v1AI4GLsvMn2Tm7cCtwGHNdGtmTmTmQ8BlzTYkSZIktaBST2aVrFVy\nQq2sbZjrSO57gT8CEiAi9gLuzcxHmuXfAfZvbu8PbATIzIeB+yJiz/75jU3NvKnz+7clSZIkSdKc\nbbfIjYiXAHdl5nqgf/B/rgcCeMCAJEmSNECVejKrZK2SE2plbcPyOazzPODoiPg14GeAJwDvA3aP\niGXNaO4B9EZmaf5dBWyOiJ2A3TLznoiYnD9p8jEBHDjN/GmtXbt22+01a9aM3A9MkiSpa8bHx0fu\ncEpJiycyc+4rR7wQ+MPMPDoiPgL8r8z8SET8JfAvmfmBiHgN8IuZ+ZqIeDnwssx8eXPiqb8Fnk3v\ncOSrgafQG03eAPwK8F3gK8CxmXnTNM+f88krSZKkeiKCzCxxNOBifj8988zzGRs7ZdplExPnc9ZZ\n0y+bzvj4eJnBoR3JOnnSqaUoGUblPV1Kbf3uz2UkdyZvAi6LiD8DbgAubOZfCPxNRNwK/AB4OUBm\n3hgRf0fvDM0PAa9pPhEejojTgavoFbwXTlfgSpIkSdJsHA8TzHMkd9AcyZUkSeo+R3J72hzJlSpo\n63d/PtfJlSRJkiRpqFnkSpIkSR1X6cReVbJWyQm1srbBIleSJEmS1BkWuZIkSVLHVTiz7qQqWavk\nhFpZ22CRK0mSJKkTIn56GSGNLotcSZIkqeMq9WRWyVolJ9TK2gaLXEmSJElSZ1jkSpIkSR1XqSez\nStYqOaFW1jZY5EqSJEmSOsMiV5IkSeq4Sj2ZVbJWyQm1srZh+aADSJIkSVIbMgedQMPAkVxJkiSp\n4yr1ZFbJWiUn1MraBotcSZIkSVJnWORKkiRJHVepJ7NK1io5oVbWNljkSpIkSZI6wyJXkiRJ6rhK\nPZlVslbJCbWytsEiV5IkSVInRPQmjTaLXEmSJKnjKvVkVslaJSfUytoGi1xJkiRJUmdY5EqSJEkd\nV6kns0rWKjmhVtY2WORKkiRJkjrDIleSJEnquEo9mVWyVskJtbK2YfmgA0iSJElSGzIHnUDDwJFc\nSZIkqeMq9WRWyVolJ9TK2gaLXEmSJElSZ1jkSpIkSR1XqSezStYqOaFW1jZY5EqSJEmSOsMiV5Ik\nSeq4Sj2ZVbJWyQm1srbBIleSJElSJ0T0Jo02i1xJkiSp4yr1ZFbJWiUn1MraBotcSZIkSVJnWORK\nkiRJHVepJ7NK1io5oVbWNljkSpIkSZI6wyJXkiRJ6rhKPZlVslbJCbWytmH5oANIkiRJUhsyB51A\nw8CRXEmSJKnjKvVkVslaJSfUytoGi1xJkiRJUmdY5EqSJEkdV6kns0rWKjmhVtY2WORKkiRJkjrD\nIleSJEnquEo9mVWyVskJtbK2wSJXkiRJUidE9CaNNotcSZIkqeMq9WRWyVolJ9TK2gaLXEmSJElS\nZ1jkSpIkSR1XqSezStYqOaFW1jZY5EqSJEmSOsMiV5IkSeq4Sj2ZVbJWyQm1srZh+aADSJIkSVIb\nMgedQMPAkVxJkiSp4yr1ZFbJWiUn1Mrahu0WuRGxc0RcExE3RMTXI+KtzfyDIuKfI+KWiPhwRCxv\n5j8uIi6LiFsj4ssRcWDftt7czL8pIo7om//iiLi52dYZi/FCJUmSJEndt90iNzP/HTg8M58BrAaO\niohnA+8C/jwzDwa2ACc3DzkZuCcznwKcDbwbICIOBX4beBpwFHBe9CwD3g8cCTwdODYintria5Qk\nSZJGWqWezCpZq+SEWlnbMKfDlTPzgebmzvT6eBM4HPj7Zv7FwMua28c09wEuB365uX00cFlm/iQz\nbwduBQ5rplszcyIzHwIua7YhSZIkSdK8zKnIjYhlEXEDcCdwNfCvwJbMfKRZ5TvA/s3t/YGNAJn5\nMHBfROzZP7+xqZk3dX7/tiRJkiTtoEo9mVWyVskJtbK2YU5nV26K2WdExG7APwDzOZw4FhJsJmvX\nrt12e82aNSP3A5MkSeqa8fHxkTucUosjmsrDsyyPtnldQigz74+IceC5wB4RsawpgA+gNzJL8+8q\nYHNE7ATslpn3RMTk/EmTjwngwGnmT6u/yJUkSVJ9Uwcu1q1bN7gwHTU+Pl5mcKhK1io5oVbWNszl\n7Mp7R8Tuze2fAV4E3Ah8DvhvzWonAFc0tz/e3KdZ/tm++S9vzr7888CTga8A1wJPjoixiHgc8PJm\nXUmSJEmS5mUuI7n7ARc3Z0FeBnwkM6+MiJuAyyLiz4AbgAub9S8E/iYibgV+QK9oJTNvjIi/o1cg\nPwS8JjMTeDgiTgeuarZ/YWbe1N5LlCRJkkZbpVG8Klmr5IRaWduw3SI3M78OPHOa+d8Gnj3N/H+n\nd6mg6bb1DuAd08z/FHDIHPJKkiRJkjSjOZ1dWZIkSVJdlU7sVSVrlZxQK2sb5nXiKUmSJEkaVp5V\nWeBIriRJktR5lXoyq2StkhNqZW2DRa4kSZIkqTMsciVJkqSOq9STWSVrlZxQK2sbLHIlSZIkSZ1h\nkStJkiR1XKWezCpZq+SEWlnbYJErSZIkqRMiepNGm0WuJEmS1HGVejKrZK2SE2plbYNFriRJkiSp\nMyxyJUmSpI6r1JNZJWuVnFAraxssciVJkiRJnWGRK0mSJHVcpZ7MKlmr5IRaWduwfNABJEmSJKkN\nmYNOoGHgSK4kSZLUcZV6MqtkrZITamVtg0WuJEmSJKkzLHIlSZKkjqvUk1kla5WcUCtrGyxyJUmS\nJEmdYZErSZIkdVylnswqWavkhFpZ22CRK0mSJKkTInqTRptFriRJktRxlXoyq2StkhNqZW2DRa4k\nSZIkqTMsciVJkqSOq9STWSVrlZxQK2sbLHIlSZIkSZ1hkStJkiR1XKWezCpZq+SEWlnbsHzQASRJ\nkiSpDZmDTqBh4EiuJEmS1HGVejKrZK2SE2plbYNFriRJkiSpMyxyJUmSpI6r1JNZJWuVnFAraxss\nciVJkiRJnRFZqDs7IrJSXkmSJM1fRJCZMegcc7Gj30/PPfdSNm/eOu2y6677Br/5m+dMu2xi4nzO\nOuuUBT+vNJPZ9smVK3fltNOOW7Tnbut337MrS5IkSQOyefNWxsamL1bHx09d4jT1RVMeOS62cLPt\nkxMT5y9xmoXxcGVJkiSp4yr1ZFbJWiUn1MraBotcSZIkSVJnWORKkiRJHVfpOqlVslbJCbWytsEi\nV5IkSZLUGRa5kiRJUsdV6smskrVKTqiVtQ2eXVmSJElSJ3hWZYEjuZIkSVLnVerJrJK1Sk6olbUN\nFrmSJEmSpM6wyJUkSZI6rlJPZpWsVXJCraxtsMiVJEmSJHWGRa4kSZLUcZV6MqtkrZITamVtg0Wu\nJEmSpE6I6E0abRa5kiRJUsdV6smskrVKTqiVtQ0WuZIkSZKkzrDIlSRJkjquUk9mlaxVckKtrG3Y\nbpEbEQdExGcj4psR8fWIeF0zf0VEXBURGyLi0xGxe99jzomIWyNifUSs7pt/QkTc0jzmlX3znxkR\nX2uWnd32i5QkSZIkjYa5jOT+BHhjZj4deC5wWkQ8FXgT8JnMPAT4LPBmgIg4CnhSZj4FeDXwgWb+\nCuC/A/8ZeDbw1r7C+C+BkzPzYODgiDiyrRcoSZIkjbpKPZlVslbJCbWytmG7RW5m3pmZ65vbW4Gb\ngAOAY4CLm9Uubu7T/HtJs/41wO4RsQ9wJHBVZt6XmVuAq4AXR8S+wBMy89rm8ZcAL2vjxUmSJEka\nHZm9SaNtXj25EXEQsBr4Z2CfzLwLeoUwsE+z2v7Axr6HfaeZN3X+pr7535lmfUmSJEktqNSTWSVr\nlZxQK2sb5lzkRsSuwOXA65sR3al/I5npbyZeqUqSJEmStCSWz2WliFhOr8D9m8y8opl9V0Tsk5l3\nNYccf6+ZvwlY1ffwA5p5m4A1U+Z/bpb1p7V27dptt9esWTNyf5WQJEnqmvHx8YH1DEbEhcBLgbsy\n8z8281YAHwHGgNuB387M+wYSsCXj4+NlvjdXyVolJ9TK2oY5FbnAh4AbM/N9ffM+DpwIvKv594q+\n+acBH4mI5wBbmkL408BZzcmmlgEvAt6UmVsi4r6IOAy4FnglcM5MQfqLXEmSJNU3deBi3bp1S/n0\nFwF/QXNOmcbkCVbfHRFn0DvB6puWMpSkhdtukRsRzwOOB74eETfQOyz5j+kVt38XEb8LTAC/DZCZ\nV0bEr0XEt4AfASc18++NiD8Drmu2sa45ARX0iuK/BnYBrszMT7X3EiVJkqTpZeYXImJsyuxjgBc2\nty8Gxile5FYaxauStUpOqJW1DdstcjPzi8BOMyz+1Rkec/oM8/+aXjE7df5XgV/aXhZJkiRpCfxc\n/wlWI+LnBh1IcxPN2YA8w/Jom9fZlSVJkqQRVL5kqnSd1CpZq+SEWlnbMNeeXEmSJGlUzHSC1Wmd\neOKJHHTQQQDssccerF69etvhoZPFxUz3JyY28OCD4xxySO/+hg295du7v8suzGn7U4ubua4/yPvr\n169f8ON7R5bD5Pluh+H1DMP9SXNZf2JiA2PNAfxT97+JiQ2POonVjuY7++yzWb9+/bbfn7ZEFhrL\nj4islFeSJEnzFxFk5pJdhjIiDgL+MTN/qbn/LuCezHxXc+KpFZk5bU/ujn4/PfPM8xkbO2XaZRdf\nfConnPCBaZdNTJzPWWdN/7hR5uHKO262fXKx97u2fvc9XFmSJEkjKyIuBb4EHBwRd0TEScA7gRdF\nxAbgV5r7koqwyJUkSdLIyszjMnNlZu6cmQdm5kWZeW9m/mpmHpKZR/RdEaSsSj2ZVbJWyQm1srbB\nnlxJkiRJneBhygJHciVJkqTOq3Sd1CpZq+SEWlnbYJErSZIkSeoMi1xJkiSp4yr1ZFbJWiUn1Mra\nBotcSZIkSVJnWORKkiRJHVepJ7NK1io5oVbWNljkSpIkSeqEiN6k0WaRK0mSJHVcpZ7MKlmr5IRa\nWdtgkStJkiRJ6gyLXEmSJKnjKvVkVslaJSfUytoGi1xJkiRJUmdY5EqSJEkdV6kns0rWKjmhVtY2\nLB90AEmSJElqQ+agE2gYOJIrSZIkdVylnswqWavkhFpZ22CRK0mSJEnqDItcSZIkqeMq9WRWyVol\nJ9TK2gaLXEmSJElSZ1jkSpIkSR1XqSezStYqOaFW1jZY5EqSJEnqhIjepNFmkStJkiR1XKWezCpZ\nq+SEWlnbYJErSZIkSeoMi1xJkiSp4yr1ZFbJWiUn1MraBotcSZIkSVJnWORKkiRJHVepJ7NK1io5\noVbWNiwfdABJkiRJakPmoBNoGDiSK0mSJHVcpZ7MKlmr5IRaWdtgkStJkiRJ6gyLXEmSJKnjKvVk\nVslaJSfUytoGi1xJkiRJUmdY5EqSJEkdV6kns0rWKjmhVtY2WORKkiRJ6oSI3qTRZpErSZIkdVyl\nnswqWavkhFpZ22CRK0mSJEnqDItcSZIkqeMq9WRWyVolJ9TK2gaLXEmSJElSZ1jkSpIkSR1XqSez\nStYqOaFW1jYsH3QASZIkSWpD5qATaBg4kitJkiR1XKWezCpZq+SEWlnbYJErSZIkSeoMi1xJkiSp\n4yr1ZFbJWiUn1MraBotcSZIkSVJnWORKkiRJHVepJ7NK1io5oVbWNljkSpIkSeqEiN6k0bbdIjci\nLoyIuyLia33zVkTEVRGxISI+HRG79y07JyJujYj1EbG6b/4JEXFL85hX9s1/ZkR8rVl2dpsvTpIk\nSVKtnswqWavkhFpZ2zCXkdyLgCOnzHsT8JnMPAT4LPBmgIg4CnhSZj4FeDXwgWb+CuC/A/8ZeDbw\n1r7C+C+BkzPzYODgiJj6XJIkSZIkzcl2i9zM/AJw75TZxwAXN7cvbu5Pzr+kedw1wO4RsQ+9Ivmq\nzLwvM7cAVwEvjoh9gSdk5rXN4y8BXrYDr0eSJEnSFJV6MqtkrZITamVtw0J7cn8uM+8CyMw7gX2a\n+fsDG/vW+04zb+r8TX3zvzPN+pIkSZIkzVtbJ57KGebb9i1JkiQNWKWezCpZq+SEWlnbsHyBj7sr\nIvbJzLuaQ46/18zfBKzqW++AZt4mYM2U+Z+bZf0ZrV27dtvtNWvWjNzQuyRJUteMj4+P3JdwLY6c\naehNI2WuRW7w6FHZjwMnAu9q/r2ib/5pwEci4jnAlqYQ/jRwVnOyqWXAi4A3ZeaWiLgvIg4DrgVe\nCZwzW5D+IleSJEn1TR24WLdu3eDCdFSlgaEqWavkhFpZ27DdIjciLqU3CrtXRNwBvBV4J/DRiPhd\nYAL4bYDMvDIifi0ivgX8CDipmX9vRPwZcB29Q5vXNSeggl5R/NfALsCVmfmp9l6eJEmSJGmUzOXs\nysdl5srM3DkzD8zMizLz3sz81cw8JDOP6CtYyczTM/PJmfl/Zeb1ffP/OjOfkpkHZ+YlffO/mpm/\n1Cx7ffsvUZIkSRptlQ4Hr5K1Sk6olbUNbZ14SpIkSZKkgbPIlSRJkjquUk9mlaxVckKtrG2wyJUk\nSZLUCRG9SaPNIleSJEnquEo9mVWyVskJtbK2wSJXkiRJktQZFrmSJElSx1XqyayStUpOqJW1DRa5\nkiRJkqTOsMiVJEmSOq5ST2aVrFVyQq2sbVg+6ACSJEmS1IbMQSfQMHAkV5IkSeq4Sj2ZVbJWyQm1\nsrbBIleSJEmS1BkWuZIkSVLHVerJrJK1Sk6olbUNFrmSJEmSpM6wyJUkSZI6rlJPZpWsVXJCraxt\nsMiVJEmS1AkRvUmjzSJXkiRJ6rhKPZlVslbJCbWytsEiV5IkSZLUGRa5kiRJUsdV6smskrVKTqiV\ntQ0WuZIkSZKkzrDIlSRJkjquUk9mlaxVckKtrG1YPugAkiRJktSGzEEn0DBwJFeSJEnquEo9mVWy\nVskJtbK2wSJXkiRJktQZFrmSJElSx1XqyayStUpOqJW1DfbkSpIkSdIU5557KZs3b5122cqVu/L0\np69c4kTz059/YmIDV199y7ZlK1fuymmnHTeoaIvOIleSJEnquEo9mcOSdfPmrYyNnTLtsomJ8znt\ntDVLG2ie+vOPjT162cTE+QNItHQ8XFmSJElSJ0T0Jo02i1xJkiSp4yr1ZFbJWiUnwIYN44OOsKQs\nciVJkiRJnWGRK0mSJHXcsPS5zkWVrFVyAhxyyJpBR1hSFrmSJEmSpM6wyJUkSZI6rlL/aJWsVXLC\n6PXkegkhSZIkSZ2QOegEGgaO5EqSJEkdV6l/tErWKjnBnlxJkiRJksqyyJUkSZI6rlL/aJWsVXLC\n6PXkWuRKkiRJkjrDIleSJEnquEr9o1WyVskJ9uRKkiRJUkkRvUmjzSJXkiRJ6rhK/aNVslbJCfbk\nSpIkSZJUlkWuJEmS1HGV+kerZK2SE+zJlSRJkiSpLItcSZIkqeMq9Y9WyVolJ4xeT+7yQQeQJEmS\npDZkDjqBhoEjuZIkSVLHVeofrZK1Sk6wJ1eSJEmSpLIsciVJkqSOq9Q/WiVrlZwwej25Q1PkRsSL\nI+LmiLglIs4YdB5JkiRJUj1DUeRGxDLg/cCRwNOBYyPiqYNNJUmSJHVDpf7RKlmr5ITR68kdlrMr\nHwbcmpkTABFxGXAMcPNiPeGe79qTex+8d9plK3ZZwT1n3LOo25rtMTOZby51z6D3m5mef5j3zYW8\nZ8NsmN9rdceo/N507XVKgojev55lebQNS5G7P7Cx7/536BW+jxHropUnXLHLCvKt0+/9e75rz3k9\nz0K2NdtjZjLfXOqeQe83Mz3/Qra/VF8uF/KeDbOKnwMLKTAsSgZrVH5vuvY6uyTW1vqcG4TrrlvP\nmWee/5j5K1fuymmnHfeY+ePj42VGHqtkrZITej25ozSaOyxF7tytbWcz93Iv8aZ2PkAXsq02n1+j\nY9D7zWzPP6xfSAb9nsnPyIpG5f0fldepbtq69RHGxk55zPyJiccWvtKoGZYidxNwYN/9A5p5j5KZ\n/k8kSZIkzVOVEUeok7VKThi9ntyhOPEUcC3w5IgYi4jHAS8HPj7gTJIkSZKkYoaiyM3Mh4HTgauA\nbwKXZeZNg00lSZIkdUOla7pWyVolJ4zedXKH5XBlMvNTwCGDziFJkiSpJs+qLBiSkVxJkiRJi6dS\n/2iVrFVygj25kiRJkiSVZZErSZIkdVyl/tEqWavkhNHrybXIlSRJkiR1hkWuJEmS1HGV+kerZK2S\nE+zJlSRJkqSSInqTRptFriRJktRxlfpHq2StkhPsyZUkSZIkqSyLXEmSJKnjKvWPVslaJSfYkytJ\nkiRJUlkWuZIkSVLHVeofrZK1Sk4YvZ7c5YMOIEmSJEltyBx0Ag0DR3IlSZKkjqvUP1ola5WcYE+u\nJO2wiPhwRPzxHNe9MyK2RsT5i5TlcRHxw4jYdwGPPSQiHtrB59+tef4fz/U92VER8cKI+FZE3B8R\nRyzFc1YWEe9YrP1PkiQtPYtcaYQ1xdf9zfRwRDzQN+/YJYqRwIsy85RF2XjmjzPzCZl550I3sb0V\nIuK4iPhS8/5dOeX578/MJwB/P8vj39EUwfdHxD0R8fmI+E8LzAtwFvDOzNwtM6/age2UERHfjYj/\nMugckjSsKvWPVslaJSeMXk+uRa40wprib7fM3A2YAF7SN+/DSxglFmWjETstxnan8X3g/wX+fAe2\n8dfNz+HngOuBj853A32vdwy4cSEhlvA9kyRJWhQWuZImBVOKzYj4LxHxzxFxb0R8JyLeExHLmmXL\nIuLciPheRGyJiBsi4imP2WjE7hHxfyLiXXMKEbFzRDwSEadFxLcj4q6IeNuUdV4dETdHxPcj4h8j\nYuWUx54aEd8Cvt43b3KdFRFxaZP7XyPij/q2u1NEvK/Z7i3Ai+aSOTOvysz/BSx0tLh/Wz8BLgEO\njIjHL+D1bgT2A66OiPub9VZFxCci4gfNdl7Z95rfERF/GxGXRcR9wO808/5nM++HEXF9RBwUEf89\nIu6OiNsi4oV92zglIm5qRqJviYiT+pYdGRG3RsSbm/d8Y0Qc17f88RFxTkTc0exnn+vbx17Qt/9d\nN9eR2ub9+kzzs7y3ef5f6Vv+pIj4QkTcFxGfAFZMefy0zxsRezcjxr/a3N89Im6PiN+a0w9XUjnN\n7/i/NP/HfWXQeXZEpf7RKlmr5AR7ciWp34+B0zJzBfAC4KXA7zXLXgqsBn4+M/cAjgPu7X9wRDwR\n+BxwZWaeMc/nfinwH4HDgGMnC6OI+B3gdcBLgH2AG4D/OeWxLwGeCTyjud9/yPEHgZ3ojXYeAfx+\n/PTQ7NcCa4CnA88FfmeemXdYROwCnAh8KzMfmO/rzcxVwN3ArzYjw9AbFb6pefzxwHsj4rl9j/8N\n4KLM3B34X828lwHnAbsDtwCfBbY223gP8Jd9j98MHNk836nAuRHxtL7lY/R+BvvRe48/MFnAA38B\nHAw8C9gTeAuQEXEQ8A/Am5v97y3AxyJi9+28hZNeAHyl2ea5wAV9yz4KjAN70Rt9f8XkgtmeNzO/\nD7wKuCgiVgDvB/53Zl4+x0yS6nkEWJOZz8jMwwYdRtsX0Zs02ixyJc0oM6/LzK82t78NXAhMjuA9\nBOwGHBoRkZk3NUXApDHg88AFmfmOBTz92zPzh5k5Qa+YmCxEXw28LTP/NTMfBv4MeH5TUE96W9ML\n++/N/YDeSajoFXT/T2b+W2b+K3A2Py1y/hvw55l5V2b+AHj3AnIv1Csj4h7gduCQJics7PXCT1/z\nk+n9seDMzPxJ8/O8mL7Cjl6h9mmAzHywmff/ZebnM/MR4HLgCZn5nub+ZcAhEbFz85h/ysw7mtuf\nBf438Py+7f8oM9+ZmQ9n5sfoFbxPjojlTY7TM/Pu7PliZibwSuDvM/NzzXY/Re8Q7LmeSGtDs7FO\nAwAAIABJREFUZv5ts62L6Y2M7xYRBwNPBf60eT8+C3yq73GzPm9m/hNwZd9rPH2OeSTVFHTk+3Kl\n/tEqWavkBHtyJWmbiHhaRFwZvTMg3wf8CbA3QGZ+kl7R+0HguxHx/r7ROYBj6P0F/KIFPv13+m5P\nACub22P0RgLvaYrC79EbcT5ghsf225feF5aNU7a9f3N75TTLlsolmblnZu6bmUdm5jeb+TvyeqH3\nmu6eUgD3v2Z49GuedFff7X+jNzrcfx/gZwEi4uiIuKY5HPpe4HCa/aTR/1iAB4Bd6Y3s7gTcNs3z\njwGvmHzdzXafxU/3g+3pP3T8gebfyee8OzN/3Le8/+c8l+f9K+AX6f0B54dzzCOppgQ+HRHXRsSr\nBh1G0txY5EqazV8BX6V3SPLu9EYRtx0ElJlnZ+Yz6Y0UrgZe3/fYvwC+BPzj5IjfPK3qu30gvUNi\noVeQndgUhHtm5orM3DUzb+hbf6YzIt9Jr/A+sG/eGLCpuf3dKc87toDcbbuDhb9e6L1vT5zyMziQ\nn77m7T1+Vs0fNv4OWAfs3Rzi+znmdjKx7wI/AZ40zbKNwF9Ned1PyMz3LTRq33Pu3YzqT+rfH2Z9\n3mb0+QP0/njzhojo318kdc/zMvM/Ab8GnBYRz9/eA4ZVpf7RKlmr5ITR68ldPugAkobarsB9mflv\nEfF0ev2ItwFExLPpFSjr6Y3s/Rh4uO+xmZmviohLgCsi4ugpo2fbc0ZErKfXU3k68NZm/geAP4mI\nb2bmLU1v5OHNiZ9mlZk/joh/AN4eEb9Hb1TvdfRGqKFXrP1BRFzVvLY/mn5Lj9acKOlxwH8AdmoK\nyp80hxfvqA+ywNcLkJnfioivA2+LiDPpjUC+Ejh6B3NNFo0/Q+//kruhN6pLr6/5/8wh20+a/eN9\nEXEivbNUP5feH0cuBr4YEVfQ65/duVn2jcz83kJDN+/hBnrv6Z/SO+T4xcClzSrbe9519H4nTo6I\ndfROEnb4QvNIGm6Z+d3m37ub/z8OA74wdb0TTzyRgw46CIA99tiD1atXbyuAJg9pnen+xMQGHnxw\nfFsRMnlY6fbuT5q6fGJiA+Pj43N+/q7d7310Q++/oh3f3kzv/y67MBSvd6H5v/GN9Zx55vlMTGwA\nYGzsEKC3/2zY8G1e9apTpn38VVd9gomJDY9af/LxK1fuytOfvnLaPN/85mY2b976mOf7ylc+w/33\n38lRR/0ybYpeu5KkURcRtwG/1/QoTs47nF5RuR9wHb3i47DMPCIijqR32ZwxekXuJ4DXZOaDEXEp\nvaLg7U0B+Lf0Dm39jebswf3P+13gNzPzS839nZvtnU6vyPxZeiNrZ/Y95iTgD+kdsnsv8MnMfE3z\n2AeAVZm5uW972+ZFxOSJiH6V3omU/jIz392su5zeSZWOB+6h16/73szsH/Wb7r17Nb0TMT3qBFeZ\n+Zq+dT4MfD0z3z7N498B7JUzXCt4Pq+3WX8z8Ft97+mB9H6Oz6FXjL49My+e6bmnzouIlwD/IzMP\nbe7/LHA/8MTMvCci3gC8mV6x+w/AHsD1zc//SOAvMvPg6fI1I8HvoteD/DP0Tqz1osx8pDk51rvp\nnQjsx8A/A6fmNNc8nrLNV9Pbp45olk3dB55Mr5j9JXrF+B3ATn2vd9rnBX4e+EdgdWZ+p9lfvgR8\nODPfO93PTlJdzefTsszc2nzuXQWsyynXH++dlmLh36fPPPN8xsamv1T8xRefygknfGBeyyYmzues\nsx67vf7Cd9jtSNbJk061UeLM9rOZmDifF73o4KF+T/vzb9gw/qjR3IXsW9tbNtO+NzXLbI+LCDJz\nh08dtqgjuRFxAL2/cu9D7xDBv8rMc6ZZ7xzgKOBH9A7LW7+YuSQ9Vmb+wjTzPkfvJEjTrf9p4NMz\nLDuu7/Yj/PSkUdN5EPhERFyWmb/fN/9jmXneDNu/iGl6fZu+051mm5eZ98yUpynAX9dMk86dJfvk\n4z5Ib8T1MSJi8hrEy+kVcNM9/s3b2f6cX28zf+WU+3fQO9RuTs89dV5mfoLeHzEm7/+IR7+nZ9P7\ng8B02/80vbMnT5svMx+gd8bl107z2C/TO0vydk3Z5qN+HtPsA98CnjfLtmZ63jvp6zVu9hfPtip1\n1z7AP0RE0vsM/9upBa6Gj+N3gsU/XPknwBszc31E7Ap8NSKuysybJ1eIiKOAJ2XmU5rDHydHGySN\ngMz8+UFnWEyZeT9TrsMqSRp+2buqwOpB52jLMI84TlUla5WcMHo9uYt64qnMvHNyVDYzt9K7TuP+\nU1Y7ht5oL5l5DbB7ROyzmLkkDb2h+jtsRDwuIn4YEff3TZP3nzXofJIkSfqpJTu7ckQcRO+vYddM\nWbQ/j758xSYeWwhLGhGZ+e+ZuVN/j+mgZeaPmzPs7tY3Td7/6qDzSZK0PZWu6Vola5WcMHrXyV2S\nsys3hypfDry+GdFd6HaGanRHkiRJi6ONk89IGk2LXuQ2Z5+8HPibzLximlU28ejrUh7Ao6/f+Cie\nDXp0rV27lrVr1w46hgbIfUDuA3IfGA0R1rdtq9Q/WiVrlZxgT+5i+BBwY2a+b4blH6d3zUYi4jnA\nlsy8awlySZIkSeqQiJ9eRkija1GL3Ih4Hr3rTf5yRNwQEddHxIsj4tURcQpAZl4JfDsivkXvkg+v\nmWWTkiRJkuapUv9olaxVcoI9ua3KzC8yzTUcp1nv9MXMoW6odEiIFof7gNwH5D4gSdqeJTu7srSj\n/GIj9wG5D8h9QFqYSr87VbJWyQmj15O7JGdXliRJGgYHHXQQExMTg46hxtjYGLfffvugY0jqGEdy\nJUnSyJiYmCAznYZk8g8OS6dS/2iVrFVygj25kiRJklSSVxsVOJIrSZIkdV6l/tEqWavkhNHrybXI\nlSRJkiR1hkWuJEmS1HGV+kerZK2SE0avJ9ciV5IkqYPe8pa38MQnPpGVK1fu8LYOP/xwPvShD7WQ\nSpIWn0WuJEnSkDjooIN4/OMfz2677cZ+++3HSSedxAMPPDDv7WzcuJH3vOc93HzzzWzevJmJiQmW\nLVvGI488sgipVUGl/tEqWavkBHtyJUmSNCARwSc+8Qnuv/9+rr/+eq677jre9ra3zWsbDz/8MBMT\nE+y9997stddej9q21HURvUmjzSJXkiRpiGRzDZT99tuPo446im984xvcf//9nHzyyaxcuZJVq1bx\nJ3/yJ9vWu/jii3n+85/PG9/4Rvbee28OP/xwjjjiCDZt2sRuu+3G7/7u7z7mOU466SROP/10XvrS\nl7Lbbrvx3Oc+l29/+9vbll999dU87WlPY8WKFbz2ta/d9lyTPvShD3HooYey1157cdRRR3HHHXcA\n8OUvf5knPvGJbNq0CYB/+Zd/Yc899+SWW25ZlPdKc1epf7RK1io5wZ5cSZIkDYGNGzdy5ZVX8oxn\nPIMTTzyRnXfemdtuu40bbriBq6++mgsuuGDbutdccw1PfvKT+d73vsfVV1/NJz/5Sfbff3/uv//+\nGXtpP/KRj7Bu3Tq2bNnCk570JM4880wAfvCDH/Cbv/mbvP3tb+f73/8+T3rSk/jiF7+47XFXXHEF\n73znO/nYxz7G3XffzQte8AKOPfZYAJ773Ody6qmncsIJJ/Dggw/yile8grPOOouDDz54Ed8pSXo0\ni1xJkqTG5KGOOzrtiJe97GXsueee/Nf/+l85/PDDOfnkk7nyyit573vfyy677MLee+/NG97wBj78\n4Q9ve8z+++/Pa17zGpYtW8bOO+88p+f59V//dZ71rGexbNkyjj/+eNavXw/AlVdeyS/+4i/y67/+\n6+y000684Q1vYN999932uA9+8IO8+c1v5uCDD2bZsmW86U1vYv369WzcuBGAt771rWzZsoXDDjuM\nVatW8fu///s79oaoFZX6R6tkrZITRq8nd/mgA0iSJA2LKUflDsQVV1zB4Ycfvu3+tddey0MPPcR+\n++0H9A5nzkwOPPDAbeusWrVq3s/TX7g+/vGPZ+vWrQBs3rz5Mdvrvz8xMcHrX/96/vAP/3Bbnohg\n06ZNrFq1iuXLl3PiiSfy+te/nve+973zziVJO8qRXEmSpCEytf911apV7LLLLvzgBz/gnnvu4d57\n72XLli187Wtf27ZOmyeV2m+//bb12E6aHKWdzPPBD36Qe+65Z1uerVu38pznPAeATZs2sW7dOk46\n6STe+MY38tBDD7WWTQtXqX+0StYqOcGeXEmSJA2RfffdlyOOOII/+IM/4Ic//CGZyW233cbnP//5\neW1navE8k5e85CXceOONfOxjH+Phhx/mfe97H3feeee25aeeeipvf/vbufHGGwG47777uPzyy7ct\nP+mkk3jVq17FBRdcwMqVK3nLW94yr5zSjsgcjiMyNFgerixJkjQkZhqRveSSSzjjjDM49NBD2bp1\nK7/wC7/AGWec0cq2p9prr7346Ec/ymtf+1pOOukkXvGKV/D85z9/2/KXvexl/OhHP+LlL385d9xx\nB7vvvjsvetGL+K3f+i3OOecc7r77bv70T/8U6J2FefXq1Rx99NE873nPm1detatS/2jbWc8991I2\nb9467bKVK3fltNOOW9B2K72n9uRKkiRpIG677bZp5z/hCU/gvPPO47zzznvMshNOOIETTjjhUfNe\n+MIXPuqQ47GxMR5++OFt9y+66KJZ1z/iiCPYsGHDjDmPP/54jj/++MfMf93rXsfrXve6bff3228/\n7rrrrhm3Iy2FzZu3MjZ2yrTLJibOX+I0WgoerixJkiR1XKX+0SpZq+QEe3IlSZIkSSrLIleSJEnq\nuEr9o1WyVskJo9eTa5ErSZIkqRMiepNGm0WuJEmS1HGV+kerZK2SE+zJbV1EXBgRd0XE12ZY/sKI\n2BIR1zeTF1OTJEmSJC3IUlxC6CLgL4BLZlnn85l59BJkkSRJI2xsbGzO14vV4hsbGxt0hJFRqX+0\nStYqOWH0enIXvcjNzC9ExPY+wfzfRpIkLbrbb7990BEkSYtsWHpynxMRN0TEJyLi0EGHkSRJkrqk\nUv9olaxVcsLo9eQuxeHK2/NVYCwzH4iIo4CPAQfPtPLatWu33V6zZk2pwwQkSZL0WOPj46UKBg2v\nzEEn0DAYeJGbmVv7bn8yIs6LiD0z857p1u8vciVJklTf1IGLdevWDS5MR1UaGKqStUpOGL2e3KU6\nXDmYoe82Ivbpu30YEDMVuJIkSZIkzWYpLiF0KfAl4OCIuCMiToqIV0fEKc0qvxUR34iIG4Czgd9Z\n7EySJEnSKKl0OHiVrFVygj25rcvM47az/Fzg3MXOIUmSJEnqvmE5u7IkSZKkRVKpf7RK1io5wZ5c\nSZIkSSopojdptFnkSpIkSR1XqX+0StYqOWH0enItciVJkiRJnWGRK0mSJHVcpf7RKlmr5AR7ciVJ\nkiRJKssiV5IkSeq4Sv2jVbJWyQmj15O76NfJlSRJkqSlkDnoBBoGjuRKkiRJHVepf7RK1io5wZ5c\nSZIkSZLK8nBlSZIkqePGx8dnHXk899xL2bx567TLVq7cldNOO26Rkj3W9rIOi7ZzLubPYMOG8ZEa\nzbXIlSRJkkbc5s1bGRs7ZdplExPnL3Ga0eTPoD0erixJkiR1XIWR0UlVslbJCfbkSpIkSVJJEb1J\no80iV5IkSeq4Std0rZK1Sk4YvevkWuRKkiRJkjrDIleSJEnquEr9o1WyVskJ9uRKkiRJklSWRa4k\nSZLUcZX6R6tkrZITRq8n1+vkSpIkSeqEzEEn0DBwJFeSJEnquEr9o1WyVskJ9uRKkiRJklSWRa4k\nSZLUcZX6R6tkrZITRq8nd9GL3Ii4MCLuioivzbLOORFxa0Ssj4jVi51JkiRJktRNSzGSexFw5EwL\nI+Io4EmZ+RTg1cAHliCTJEmSNDIq9Y9WyVolJ9iT27rM/AJw7yyrHANc0qx7DbB7ROyz2LkkSZIk\ndUtEb9JoG4ae3P2BjX33NzXzJEmSJLWgUv9olaxVcsLo9eSWu07u2rVrt91es2bNrIcJ7Lkn3DvD\nGPKKFXDPPfN77pm2t5BtdY3vjTSc2v4cHDQ/a6RuGh8fL1UwSBpuw1DkbgJW9d0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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9f4072f90>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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LTDPnOHT7Q7Yz7edsK3bq+ZxHQ74Gdqr9IU27/Z0y9NmfD/XvwLRfZ8mwZ1ie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\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9eed29550>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "pa = PerfAnalysis( te.res_dir )\n",
+ "\n",
+ "for task in pa.tasks():\n",
+ " pa.plotPerf(task, \"Prefer_Idle=0\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# schedtune.prefer_idle = 1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:41:57 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/dev/stune/schedtune.prefer_idle'\"\n",
+ "03:41:57 INFO : /dev/stune/schedtune.prefer_idle = 0\n",
+ "03:41:57 DEBUG : adb -s 10.169.36.25:5555 shell \"echo 1 > /dev/stune/schedtune.prefer_idle\"\n",
+ "03:41:57 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/dev/stune/schedtune.prefer_idle'\"\n",
+ "03:41:57 INFO : /dev/stune/schedtune.prefer_idle = 1\n"
+ ]
+ }
+ ],
+ "source": [
+ "#\n",
+ "# configure prefer_idle\n",
+ "#\n",
+ "logging.info(\"/dev/stune/schedtune.prefer_idle = %s\", target.read_value(\"/dev/stune/schedtune.prefer_idle\"))\n",
+ "#os.system(\"uname -a\")\n",
+ "#target.execute(\"ls -al /dev/stune\")\n",
+ "target.execute(\"echo 1 > /dev/stune/schedtune.prefer_idle\")\n",
+ "logging.info(\"/dev/stune/schedtune.prefer_idle = %s\", target.read_value(\"/dev/stune/schedtune.prefer_idle\"))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:42:05 INFO : #### Setup FTrace\n",
+ "03:42:05 DEBUG : adb -s 10.169.36.25:5555 shell \"echo 'echo 10240 > '\\\\''/sys/kernel/debug/tracing/buffer_size_kb'\\\\''' | su\"\n",
+ "03:42:05 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/kernel/debug/tracing/buffer_size_kb'\"\n",
+ "03:42:05 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/trace-cmd reset' | su\"\n",
+ "03:42:06 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/trace-cmd start -e cpu_frequency -e sched_load_avg_cpu -e sched_load_avg_task -e sched_switch -e cpu_capacity -e cpu_idle -e sched_blocked_reason -e sched_boost_cpu -e sched_boost_task -e sched_contrib_scale_f -e sched_cpu_hotplug -e sched_energy_diff -e sched_kthread_stop -e sched_kthread_stop_ret -e sched_load_avg_cpu -e sched_load_avg_task -e sched_migrate_task -e sched_move_numa -e sched_pi_setprio -e sched_process_exec -e sched_process_exit -e sched_process_fork -e sched_process_free -e sched_process_wait -e sched_stat_blocked -e sched_stat_iowait -e sched_stat_runtime -e sched_stat_sleep -e sched_stat_wait -e sched_stick_numa -e sched_swap_numa -e sched_switch -e sched_tune_boostgroup_update -e sched_tune_config -e sched_tune_tasks_update -e sched_tune_filter -e sched_wait_task -e sched_wake_idle_without_ipi -e sched_wakeup -e sched_wakeup_new' | su\"\n",
+ "03:42:07 DEBUG : adb -s 10.169.36.25:5555 shell \"echo 'echo TRACE_MARKER_START > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "03:42:07 DEBUG : Trace CPUFreq frequencies\n",
+ "03:42:07 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "03:42:07 INFO : #### Start energy sampling\n",
+ "03:42:07 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "03:42:07 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "03:42:07 DEBUG : SAMPLE: {'BOARDBIG': {'total': 10.98757599999999, 'last': 122.039627, 'delta': 2.9796070000000014}, 'BOARDLITTLE': {'total': 4.552516000000011, 'last': 90.547047, 'delta': 3.4123850000000004}}\n",
+ "03:42:07 DEBUG : RESET: {'BOARDBIG': {'total': 0, 'last': 122.039627, 'delta': 0}, 'BOARDLITTLE': {'total': 0, 'last': 90.547047, 'delta': 0}}\n",
+ "03:42:07 INFO : #### Start RTApp execution\n",
+ "03:42:07 INFO : WlGen - Workload execution START:\n",
+ "03:42:07 INFO : WlGen - /data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\n",
+ "03:42:07 DEBUG : adb -s 10.169.36.25:5555 shell \"/data/local/tmp/bin/rt-app /data/local/tmp/devlib-target/simple_00.json 2>&1\"\n",
+ "03:42:18 DEBUG : WlGen - Callback [postrun]...\n",
+ "03:42:18 DEBUG : RTApp - Pulling logfiles to [/data/lisa_fork/lisa/results/prefer_idle]...\n",
+ "03:42:18 DEBUG : adb -s 10.169.36.25:5555 shell ls '/data/local/tmp/devlib-target/*period_2*.log'\n",
+ "03:42:18 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-period_2-1.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:42:19 DEBUG : adb -s 10.169.36.25:5555 shell ls '/data/local/tmp/devlib-target/*ramp_2*.log'\n",
+ "03:42:19 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-ramp_2-2.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:42:19 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-ramp_2-3.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:42:19 DEBUG : adb -s 10.169.36.25:5555 shell ls '/data/local/tmp/devlib-target/*ramp_1*.log'\n",
+ "03:42:19 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-ramp_1-0.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:42:19 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-ramp_1-1.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:42:19 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-ramp_1-2.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:42:20 DEBUG : adb -s 10.169.36.25:5555 shell ls '/data/local/tmp/devlib-target/*period_1*.log'\n",
+ "03:42:20 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/rt-app-period_1-0.log' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:42:20 DEBUG : RTApp - Pulling JSON to [/data/lisa_fork/lisa/results/prefer_idle]...\n",
+ "03:42:20 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/simple_00.json' '/data/lisa_fork/lisa/results/prefer_idle'\n",
+ "03:42:20 DEBUG : RTApp - Saving output on [/data/lisa_fork/lisa/results/prefer_idle/output.log]...\n",
+ "03:42:20 DEBUG : WlGen - Workload execution COMPLETED\n",
+ "03:42:20 INFO : #### Read energy consumption: /data/lisa_fork/lisa/results/prefer_idle/energy.json\n",
+ "03:42:20 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy2_input'\"\n",
+ "03:42:20 DEBUG : adb -s 10.169.36.25:5555 shell \"cat '/sys/class/hwmon/hwmon0/energy3_input'\"\n",
+ "03:42:20 DEBUG : SAMPLE: {'BOARDBIG': {'total': 8.02161000000001, 'last': 130.061237, 'delta': 8.02161000000001}, 'BOARDLITTLE': {'total': 1.1952479999999923, 'last': 91.742295, 'delta': 1.1952479999999923}}\n",
+ "03:42:20 DEBUG : HWMon - Energy [ BOARDBIG]: 8.021610\n",
+ "03:42:20 DEBUG : HWMon - Energy [ BOARDLITTLE]: 1.195248\n",
+ "03:42:20 INFO : #### Stop FTrace\n",
+ "03:42:20 DEBUG : Trace CPUFreq frequencies\n",
+ "03:42:20 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/shutils cpufreq_trace_all_frequencies' | su\"\n",
+ "03:42:20 DEBUG : adb -s 10.169.36.25:5555 shell \"echo 'echo TRACE_MARKER_STOP > '\\\\''/sys/kernel/debug/tracing/trace_marker'\\\\''' | su\"\n",
+ "03:42:20 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/trace-cmd stop' | su\"\n",
+ "03:42:20 INFO : #### Save FTrace: /data/lisa_fork/lisa/results/prefer_idle/trace.dat\n",
+ "03:42:20 DEBUG : adb -s 10.169.36.25:5555 shell \"echo '/data/local/tmp/bin/trace-cmd extract -o /data/local/tmp/devlib-target/trace.dat' | su\"\n",
+ "03:42:22 DEBUG : adb -s 10.169.36.25:5555 pull '/data/local/tmp/devlib-target/trace.dat' '/data/lisa_fork/lisa/results/prefer_idle/trace.dat'\n",
+ "03:42:23 INFO : #### Save platform description: /data/lisa_fork/lisa/results/prefer_idle/platform.json\n",
+ "03:42:23 DEBUG : Platform - Dump platform descriptor in [/data/lisa_fork/lisa/results/prefer_idle/platform.json]\n"
+ ]
+ }
+ ],
+ "source": [
+ "logging.info('#### Setup FTrace')\n",
+ "te.ftrace.start()\n",
+ "\n",
+ "logging.info('#### Start energy sampling')\n",
+ "te.emeter.reset()\n",
+ "\n",
+ "logging.info('#### Start RTApp execution')\n",
+ "rtapp.run(out_dir=te.res_dir, cgroup=\"\")\n",
+ "\n",
+ "logging.info('#### Read energy consumption: %s/energy.json', te.res_dir)\n",
+ "(nrg, nrg_file) = te.emeter.report(out_dir=te.res_dir)\n",
+ "\n",
+ "logging.info('#### Stop FTrace')\n",
+ "te.ftrace.stop()\n",
+ "\n",
+ "trace_file = os.path.join(te.res_dir, 'trace.dat')\n",
+ "logging.info('#### Save FTrace: %s', trace_file)\n",
+ "te.ftrace.get_trace(trace_file)\n",
+ "\n",
+ "logging.info('#### Save platform description: %s/platform.json', te.res_dir)\n",
+ "(plt, plt_file) = te.platform_dump(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Trace Analysis"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style>\n",
+ "/*\n",
+ " * Copyright 2015-2016 ARM Limited\n",
+ " *\n",
+ " * Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+ " * you may not use this file except in compliance with the License.\n",
+ " * You may obtain a copy of the License at\n",
+ " *\n",
+ " * http://www.apache.org/licenses/LICENSE-2.0\n",
+ " *\n",
+ " * Unless required by applicable law or agreed to in writing, software\n",
+ " * distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+ " * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+ " * See the License for the specific language governing permissions and\n",
+ " * limitations under the License.\n",
+ " */\n",
+ "\n",
+ ".d3-tip {\n",
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+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Suport for FTrace events parsing and visualization\n",
+ "import trappy\n",
+ "\n",
+ "# NOTE: The interactive trace visualization is available only if you run\n",
+ "# the workload to generate a new trace-file\n",
+ "trappy.plotter.plot_trace(te.res_dir)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:42:30 DEBUG : Loading [sched] events from trace in [/data/lisa_fork/lisa/results/prefer_idle]...\n",
+ "03:42:30 DEBUG : Parsing events: ['cpu_frequency', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_switch', 'dequeue_task_fair', 'enqueue_task_fair', 'set_next_entity', 'cpu_capacity', 'cpu_idle', 'sched_blocked_reason', 'sched_boost_cpu', 'sched_boost_task', 'sched_contrib_scale_f', 'sched_cpu_hotplug', 'sched_energy_diff', 'sched_kthread_stop', 'sched_kthread_stop_ret', 'sched_load_avg_cpu', 'sched_load_avg_task', 'sched_migrate_task', 'sched_move_numa', 'sched_pi_setprio', 'sched_process_exec', 'sched_process_exit', 'sched_process_fork', 'sched_process_free', 'sched_process_wait', 'sched_stat_blocked', 'sched_stat_iowait', 'sched_stat_runtime', 'sched_stat_sleep', 'sched_stat_wait', 'sched_stick_numa', 'sched_swap_numa', 'sched_switch', 'sched_tune_boostgroup_update', 'sched_tune_config', 'sched_tune_tasks_update', 'sched_tune_filter', 'sched_wait_task', 'sched_wake_idle_without_ipi', 'sched_wakeup', 'sched_wakeup_new']\n",
+ "03:42:30 INFO : Parsing FTrace format...\n",
+ "03:42:33 DEBUG : Events found on trace:\n",
+ "03:42:33 DEBUG : - sched_load_avg_task\n",
+ "03:42:33 DEBUG : - sched_wakeup\n",
+ "03:42:33 DEBUG : - cpu_capacity\n",
+ "03:42:33 DEBUG : - cpu_idle\n",
+ "03:42:33 DEBUG : - sched_wakeup_new\n",
+ "03:42:33 DEBUG : - sched_stat_blocked\n",
+ "03:42:33 DEBUG : - sched_process_exit\n",
+ "03:42:33 DEBUG : - sched_contrib_scale_f\n",
+ "03:42:33 DEBUG : - sched_process_exec\n",
+ "03:42:33 DEBUG : - sched_process_wait\n",
+ "03:42:33 DEBUG : - cpu_frequency\n",
+ "03:42:33 DEBUG : - sched_boost_cpu\n",
+ "03:42:33 DEBUG : - sched_migrate_task\n",
+ "03:42:33 DEBUG : - sched_process_free\n",
+ "03:42:33 DEBUG : - sched_switch\n",
+ "03:42:33 DEBUG : - sched_stat_sleep\n",
+ "03:42:33 DEBUG : - sched_stat_wait\n",
+ "03:42:33 DEBUG : - sched_boost_task\n",
+ "03:42:33 DEBUG : - sched_load_avg_cpu\n",
+ "03:42:33 DEBUG : - sched_stat_runtime\n",
+ "03:42:33 DEBUG : - sched_stat_iowait\n",
+ "03:42:33 DEBUG : - sched_tune_tasks_update\n",
+ "03:42:33 DEBUG : - sched_process_fork\n",
+ "03:42:33 DEBUG : - sched_blocked_reason\n",
+ "03:42:33 INFO : Platform clusters verified to be Frequency coherent\n",
+ "03:42:33 DEBUG : Lookup dataset for tasks...\n",
+ "03:42:33 INFO : Collected events spans a 13.319 [s] time interval\n",
+ "03:42:33 INFO : Set plots time range to (0.000000, 13.318711)[s]\n",
+ "03:42:33 DEBUG : Registering [<trace.Trace object at 0x7fc9eee902d0>] local data frames\n",
+ "03:42:33 DEBUG : functions_stats\n",
+ "03:42:33 DEBUG : trace_event\n",
+ "03:42:33 DEBUG : Analysis - Analysis: /data/lisa_fork/lisa/libs/utils/analysis\n",
+ "03:42:33 DEBUG : Analysis - Syspath: ['/data/lisa_fork/lisa/libs/utils/analysis', '/data/lisa_fork/lisa/libs/utils/analysis', '/data/lisa_fork/lisa/libs/utils/analysis', '', '/data/lisa_fork/lisa/libs/bart', '/data/lisa_fork/lisa/libs/trappy', '/data/lisa_fork/lisa/libs/devlib', '/data/lisa_fork/lisa/libs/wlgen', '/data/lisa_fork/lisa/libs/utils', '/data/lisa_fork/lisa/ipynb/workshop', '/usr/lib/python2.7', '/usr/lib/python2.7/plat-x86_64-linux-gnu', '/usr/lib/python2.7/lib-tk', '/usr/lib/python2.7/lib-old', '/usr/lib/python2.7/lib-dynload', '/usr/local/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages', '/usr/local/lib/python2.7/dist-packages/IPython/extensions', '/home/zhifei/.ipython']\n",
+ "03:42:33 INFO : Registering trace analysis modules:\n",
+ "03:42:33 DEBUG : Analysis - Filename: tasks_analysis\n",
+ "03:42:33 DEBUG : Registering [<tasks_analysis.TasksAnalysis object at 0x7fc9f4158090>] local data frames\n",
+ "03:42:33 DEBUG : rt_tasks\n",
+ "03:42:33 DEBUG : top_big_tasks\n",
+ "03:42:33 DEBUG : top_wakeup_tasks\n",
+ "03:42:33 DEBUG : trace_event\n",
+ "03:42:33 INFO : tasks\n",
+ "03:42:33 DEBUG : Analysis - Filename: idle_analysis\n",
+ "03:42:33 DEBUG : Registering [<idle_analysis.IdleAnalysis object at 0x7fc9f4158a90>] local data frames\n",
+ "03:42:33 DEBUG : cluster_idle_state_residency\n",
+ "03:42:33 DEBUG : cpu_idle_state_residency\n",
+ "03:42:33 DEBUG : trace_event\n",
+ "03:42:33 INFO : idle\n",
+ "03:42:33 DEBUG : Analysis - Filename: latency_analysis\n",
+ "03:42:33 DEBUG : Registering [<latency_analysis.LatencyAnalysis object at 0x7fc9f456f6d0>] local data frames\n",
+ "03:42:33 DEBUG : latency_df\n",
+ "03:42:33 DEBUG : latency_preemption_df\n",
+ "03:42:33 DEBUG : latency_wakeup_df\n",
+ "03:42:33 DEBUG : trace_event\n",
+ "03:42:33 INFO : latency\n",
+ "03:42:33 DEBUG : Analysis - Filename: functions_analysis\n",
+ "03:42:33 DEBUG : Registering [<functions_analysis.FunctionsAnalysis object at 0x7fc9f456f110>] local data frames\n",
+ "03:42:33 DEBUG : trace_event\n",
+ "03:42:33 INFO : functions\n",
+ "03:42:33 DEBUG : Analysis - Filename: frequency_analysis\n",
+ "03:42:33 DEBUG : Registering [<frequency_analysis.FrequencyAnalysis object at 0x7fc9f456fb50>] local data frames\n",
+ "03:42:33 DEBUG : cluster_frequency_residency\n",
+ "03:42:33 DEBUG : cpu_frequency_residency\n",
+ "03:42:33 DEBUG : trace_event\n",
+ "03:42:33 INFO : frequency\n",
+ "03:42:33 DEBUG : Analysis - Filename: status_analysis\n",
+ "03:42:33 DEBUG : Registering [<status_analysis.StatusAnalysis object at 0x7fc9f456f990>] local data frames\n",
+ "03:42:33 DEBUG : overutilized\n",
+ "03:42:33 DEBUG : trace_event\n",
+ "03:42:33 INFO : status\n",
+ "03:42:33 DEBUG : Analysis - Filename: eas_analysis\n",
+ "03:42:33 DEBUG : Registering [<eas_analysis.EasAnalysis object at 0x7fc9f456fe10>] local data frames\n",
+ "03:42:33 DEBUG : trace_event\n",
+ "03:42:33 INFO : eas\n",
+ "03:42:33 DEBUG : Analysis - Filename: cpus_analysis\n",
+ "03:42:33 DEBUG : Registering [<cpus_analysis.CpusAnalysis object at 0x7fc9f9758750>] local data frames\n",
+ "03:42:33 DEBUG : context_switches\n",
+ "03:42:33 DEBUG : trace_event\n",
+ "03:42:33 INFO : cpus\n"
+ ]
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[11.261794999999893, 11.281850999999733], [11.318432999999914, 11.318580999999995]], \"3\": [[4.1218539999999848, 4.1892139999999927], [4.2186139999998886, 4.2497570000000451], [4.2499139999999898, 4.2875959999996667], [4.3186109999996916, 4.4003290000000561], [4.4183169999996608, 4.4965609999999288], [4.5186089999997421, 4.5968840000000455], [4.6186079999997673, 4.6970980000000964], [4.7183150000000751, 4.7965909999998075], [4.8186129999999139, 4.8988879999997152], [4.9186079999999492, 4.993822999999793], [4.9938979999997173, 4.9940010000000257]]}}});\n",
+ " }); /* TRAPPY_PUBLISH_REMOVE_LINE */\n",
+ " </script>\n",
+ " </div>"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "events_to_parse = my_tests_conf['ftrace']['events']\n",
+ "\n",
+ "trace2 = Trace(plt, te.res_dir, events_to_parse)\n",
+ "\n",
+ "ftrace2 = trace2.ftrace\n",
+ "\n",
+ "trappy.plotter.plot_trace(ftrace2, execnames=['period_1', \"period_2\", \n",
+ " \"ramp_1\", \"ramp_2\", ])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:42:35 INFO : ftrace object =<trappy.ftrace.FTrace object at 0x7fc9efff1bd0>\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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cc85BmzZtono/IitwdDgiADU1NfjTn/6EP/7xj7jzzjt9y/v37++33llnnYXi4mIAQO/e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\nvFh6geXn55OUlKRXxqhRo0hPT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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9ecfba650>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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jg/0P91g9Lta9M8GuF2kagfa73e6w75fvf3247dprgaVL5fa4cVhlEkRbtmzx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+yx8rzC8SsuFlsHAWnd4EkHcjEsNZPOjZA1IifoSAMCaft2ydwggoUHaO9e6Q536BB3h3vxRYnS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+Zjgicu53v2PmGAAsK+PHC1sLWFaGDmUWNH3tV14R5hy0lZUJKxraDjrIudde4/2KCt727FnF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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9efff1a90>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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AmWLS8UoW/zElh0QWk1AJAgAAAJBT6BMEAPDEudgb2wYA/IE+QQAAAAAQA5Wg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\n+v5Iy/Za3sMPh2dp1y58XufOTZ8ffbR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aXJNKkNOvSnIreSGjvgXvop1zTni5It2pC62k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\nAElFTkSuQmCC\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9ef4bd710>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# NOTE: The interactive trace visualization is available only if you run\n",
+ "# the workload to generate a new trace-file\n",
+ "logging.info(\"ftrace object =%s\", ftrace2)\n",
+ "#trappy.ftrace.plotClusterFrequencies()\n",
+ "\n",
+ "\n",
+ "trappy.LinePlot(ftrace2,\n",
+ " signals=[\n",
+ " \"sched_load_avg_cpu:util_avg\",\n",
+ " #\"sched_load_avg_cpu:load_avg\",\n",
+ " \"cpu_capacity:capacity\"],\n",
+ " pivot=\"cpu\",\n",
+ " filters={\"cpu\": [0,3]},\n",
+ " marker = '+',\n",
+ " drawstyle='steps-post',\n",
+ " title=\"prefer_idle = 1\",\n",
+ " ylim=(0, 1100)).view()\n",
+ "trappy.LinePlot(ftrace2,\n",
+ " signals=[\n",
+ " \"sched_load_avg_cpu:util_avg\",\n",
+ " #\"sched_load_avg_cpu:load_avg\",\n",
+ " \"cpu_capacity:capacity\"],\n",
+ " pivot=\"cpu\",\n",
+ " filters={\"cpu\": [1,2]},\n",
+ " marker = '+',\n",
+ " drawstyle='steps-post',\n",
+ " title=\"prefer_idle = 1\",\n",
+ " ylim=(0, 1100)).view()\n",
+ "trappy.LinePlot(ftrace2,\n",
+ " signals=[\n",
+ " \"sched_load_avg_cpu:util_avg\",\n",
+ " #\"sched_load_avg_cpu:load_avg\",\n",
+ " \"cpu_capacity:capacity\"],\n",
+ " pivot=\"cpu\",\n",
+ " filters={\"cpu\": [4,5]},\n",
+ " marker = '+',\n",
+ " drawstyle='steps-post',\n",
+ " title=\"prefer_idle = 1\",\n",
+ " ylim=(0, 1100)).view()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:42:37 WARNING : Event [sched_overutilized] not found, plot DISABLED!\n",
+ "03:42:37 WARNING : Event [sched_overutilized] not found, plot DISABLED!\n",
+ "03:42:38 INFO : LITTLE cluster average frequency: 0.813 GHz\n",
+ "03:42:38 INFO : big cluster average frequency: 1.016 GHz\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "(0.81291125473746095, 1.0155345231589932)"
+ ]
+ },
+ "execution_count": 43,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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8GjgI3Ad8CDiSmQ9V1T4DnF49Ph04UC37IHAkIk6bdP3aerz3QSXmQiXmQiXm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\n1WvJvO1P2T68ZI3TZE00t7bXSfo7Sa+Q9GxJr7f9G2WrQg3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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9eee90110>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "trace2.analysis.frequency.plotClusterFrequencies(\"prefer_idle=1\")\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>time</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>idle_state</th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>0.178767</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>0.774844</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>6.108044</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " time\n",
+ "idle_state \n",
+ "0 0.178767\n",
+ "1 0.774844\n",
+ "2 6.108044"
+ ]
+ },
+ "execution_count": 44,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "trace2.data_frame.cpu_idle_state_residency(2)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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htXZda+0trbWfGT63tXZdklclOamqbr/dbgevuaC19vokVx6J+gFgKjS9ADBN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\nRU5ErkJggg==\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9eff3b450>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ia_2 = trace2.analysis.idle\n",
+ "\n",
+ "# Actual time spent in each idle state\n",
+ "ia_2.plotCPUIdleStateResidency([0, 1,2, 3, 4, 5])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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AMGqKMQAAAKOmGAMAADBqijEAAACjphgDAAAwaooxAAAAo6YYAwAAMGqKMQAAAKOmGAMA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\ny5zIldcAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9ef941750>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Percentage of time spent in each idle state\n",
+ "ia_2.plotCPUIdleStateResidency([0,1,2,3], pct=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "03:42:56 DEBUG : Found rt-app logfile for task [ramp_1]\n",
+ "03:42:56 DEBUG : Found rt-app logfile for task [ramp_2]\n",
+ "03:42:56 DEBUG : Found rt-app logfile for task [ramp_2]\n",
+ "03:42:56 DEBUG : Found rt-app logfile for task [period_1]\n",
+ "03:42:56 DEBUG : Found rt-app logfile for task [ramp_1]\n",
+ "03:42:56 DEBUG : Found rt-app logfile for task [task_2]\n",
+ "03:42:56 DEBUG : Found rt-app logfile for task [period_2]\n",
+ "03:42:56 DEBUG : Found rt-app logfile for task [ramp_1]\n",
+ "03:42:56 DEBUG : Found rt-app logfile for task [task_2]\n",
+ "03:42:56 DEBUG : Loading dataframe for task [period_2]...\n",
+ "03:42:56 DEBUG : Loading dataframe for task [ramp_2]...\n",
+ "03:42:56 DEBUG : Loading dataframe for task [ramp_1]...\n",
+ "03:42:56 DEBUG : Loading dataframe for task [period_1]...\n",
+ "03:42:56 DEBUG : Loading dataframe for task [task_2]...\n",
+ "03:42:57 INFO : PerfIndex, Task [period_2] avg: 0.83, std: 0.25\n",
+ "03:42:58 INFO : PerfIndex, Task [ramp_2] avg: 0.78, std: 0.19\n",
+ "03:42:59 INFO : PerfIndex, Task [ramp_1] avg: -0.05, std: 2.59\n",
+ "03:42:59 INFO : PerfIndex, Task [period_1] avg: 0.88, std: 0.09\n",
+ "03:43:00 INFO : PerfIndex, Task [task_2] avg: 0.69, std: 0.66\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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2WT/jPgaGrds42z9onUFGObep82dkH+b4SsvTqO/95RH4Dl6pnifJo3w5jTuA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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9ef77ee90>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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t3njjDa266qpae+219e677+r444/X8uXLe+//xje+oR/96Ed68sknJUkPPvig\nenp6JIVZkTfYYAP94Q9/0FlnnaVzzz23RWeHJMhqPiX5qMmvp9V11YvAFgAAoEEjR47Un//8Z22/\n/fYaOXKkdtxxR22xxRY67bTT+mw3ZcoUTZkyRZMnT9aGG26oESNGaPz48b33f/e739XUqVP12c9+\nVqNHj9Y3vvENvfXWW5JWrmM7fvx43XrrrTrllFM0c+bM1p0kACSYpWlNNDPzNLUXAAA0j5mxlmvG\nlHtOY3kqpstp1efTefPmtazXLIt1pfmc8qn/xZdZms+pnEb+91dpdmMAAAAAAM3B93nVoccWAACk\nAj222UOPLYBCjfzvk2MLAAAAAEg1AlsAAAAg4bK6Zilrvia/nlbXVS8CWwAAAABAqpFjCwAAUoEc\n2+whxxZAIXJsAQAAACCDzFYu+YPyCGwBAACAhMtqPiX5qMmvp9V11YvAFgAAAACQagS2AAAADTr5\n5JO199579ynbZJNN9PnPf75P2eTJk3X11Vdr2LBhevrpp3vLTz31VI0bN06PPvqo/vjHP2r48OEa\nNWqURo8erc0220wXX3yxJKmrq0vDhg3TihUram5jcZ1Il87OTupKQT2trCuL59QIAlsAAIAG7brr\nrrrzzjt7J0J64YUX9P777+v+++/vU/bUU09pt91267PviSeeqLPOOkvz58/XZpttJkkaN26cXn/9\ndS1btkwnn3yyvvnNb+qxxx6TFCZXqUe9+wFAGhDYAgAANGjbbbfVu+++q4ULF0qSFixYoN13312b\nbrppn7KNNtpI66+/fu9+P/zhDzVz5sze+0rZd999lcvl9Mgjj1Rswz333KMdd9xRuVxO48aN07e/\n/W29//77kqTddttN7q4ttthCo0aN0rXXXitJ+u1vf6tPfepTyuVy2nnnnfXggw/2Hm/DDTfUaaed\npk9+8pPK5XL6yle+onfffbf3/htuuEGf+tSnNHr0aG2yySaaO3euZs+erW222aZPu04//XR98Ytf\nrPahRBlZzackHzX59bS6rnoR2AIAADRo1VVX1fbbb6/58+dLkubPn69dd91VO++8c7+yvKOPPlrX\nXnutFixYoIkTJ5Y8rrvruuuu07Jly7TFFltUbMPw4cN1xhlnqLu7W3feeaduu+02nX322ZKkP/7x\nj5KkBx98UK+//rr2339/3X///Tr44IN1/vnnq7u7W4ceeqj22Wcfvffee73HvPbaazV37lz97W9/\n0wMPPNAfVXplAAAgAElEQVQ7JPruu+/WtGnTdNppp2nZsmWaP3++Jk2apH322UeLFy/WokWLeo9x\n2WWXadq0aTU+ogDy3MMNlRHYAgAANMFuu+3WG8QuWLBAu+yyS5/AdsGCBX3y1G655RbttddeGjdu\nXL9jLV26VB0dHVp33XV1wgkn6LLLLtPGG29csf6tttpK2223ncxMEyZM0CGHHNIb0OYVrrd6/vnn\n67DDDtM222wjM9OBBx6o1VdfXXfddVfvNkceeaTGjh2rMWPG6Atf+EJv7/PMmTN18MEH6zOf+Ywk\n6UMf+pAmT56s1VZbTV/60pd02WWXSZIefvhhdXV19cs1Ru2ymk9JPmry62l1XfVapd0NAAAAaAY7\nrjk5pH5sfV0ju+66q84++2z19PTolVde0UYbbaT11ltP06dPV09Pjx566KE+PbZXXXWVvv71ryuX\ny2nGjBl9jjVu3Dg988wzNdX/xBNP6Lvf/a7uvfdevfXWW3r//fe19dZbl92+q6tLl1xyiX7+859L\nCkHve++9p+eee653m7Fjx/b+PmLECD3//POSpCVLlpQNVg866CAdcMABvQH51KlTteqqq9Z0LgBQ\nKwJbAACQCfUGpM3y6U9/Wq+99prOP/987bTTTpKkkSNHaoMNNtD555+vcePGacKECb3bT548Wbfe\neqt23313rbnmmjr66KMbqv/www/XVlttpauvvlojRozQmWeeqV//+tdltx8/fryOOeYYff/736+5\nrvHjx+upp54qed/222+v1VZbTQsWLNAVV1yhK6+8subjo7958+a1rNcsi3VxTumpq14MRQayqqND\nMut/6+hod8sAIJPWWGMNbbPNNjr99NO1yy679JbvtNNOOv300/v01uZtvvnmuuWWW3TqqafqzDPP\nrKoed9fbb7+td955p/fm7lq+fLlGjRqlESNG6LHHHtM555zTZ7/111+/z3I/3/zmN3Xuuefq7rvv\nliS9+eabuummm/Tmm28O2IaDDz5YF110kW6//Xa5u5577rk+ebUHHnigvvWtb2m11VbTjjvuWNV5\nAUAjCGyBrOrpWTnbQOGtp6fdLQOAzNptt9308ssva+edd+4t22WXXfTyyy/3WeancOmdLbbYQnPm\nzNHxxx+v8847b8A6zEwjR47UiBEjtOaaa2rEiBG6/fbbddppp+nyyy/XqFGjdOihh+rLX/5yn/1m\nzJihgw46SB0dHZo9e7a23nprnX/++frWt76ljo4OTZ48WbNmzSrZxmLbbrutLrroIh111FEaPXq0\nOjs7+wydPvDAA/XQQw/pwAMPHPB8UJ2s5lOSj5r8elpdV73MUzTFlpl5Ytrb0VE6QMjlpO7u+rcF\nmsWs9BR65coBIOHMTIn5HICK3n77bY0dO1b33Xdf2WWMpPLPaSxPxcK7ifp8ikzKf8c0FC6zRv73\n6bEdSLnhnFLp3jCp+m3pOQMAABl09tlna9ttt60Y1KI2WV2zlDVfk19Pq+uqV/onjyrXG1qrcr2n\n+eGc1aqlBzaXWxn4VtMWAACAhNtwww0lSddff32bWwJgKEnfUOTiwmYFgUkatslQUTRDkq5pAGgC\nhiJnD0ORgYExFLk66euxHQrPKAAAAACgauTYAgAAAAmX1XxK8lGTX0+r66pX+npsB0ulfFcAAAAA\naAMGrFYnfTm2KWpv3ciBRDOQYwsgY8ixzR5ybAEUGlo5tgAAYEiaOHGirNToKqTWxIkT290EABlB\nji0AAEiFxYsXy925Zei2ePHidl9WqZHVfEryUZNfT6vrqheBLQAAAAAg1cixTSJyINEM5NgCAFKK\nHFtgaGrkf58eWwAAAABIKLPSi7egLwJbAAAAIOGymk9JPmry62l1XfViVmQAAAAAQNV++csr9Nxz\nb/Qr32CDtXTEEQe0oUXk2CYTOZBoBnJsAQApRY4tsFJ+GHKSLrNjjjlPEyce0q+8q+s8nXRS//Jq\nkWMLAAAAABiyCGwBAACAhMtqPiX5qMmvp9V11YscWwAAAABIqCQNQU6yAXtszWyymd1vZvfFn8vM\n7D/MLGdmc81skZndbGajC/Y5y8yeMLOFZrZlQfk0M3s87nNQQflWZvbXeN8ZzT9NAAAAIL06Ozup\nKwX1tLKuLJ5TIwYMbN39cXf/lLtvJWlrSW9Kuk7S9yTd6u6bSrpN0vclycw+J2kjd99E0qGSzo3l\nOUk/lrStpO0lHVsQDJ8j6WB3nyxpsplNaeI5AgAAAAAyrNYc2z0kPeXuSyTtK2lWLJ8V/1b8eYkk\nufufJY02s7GSpkia6+7L3P01SXMl7WVm60sa6e73xP0vkbRfvScEAAAAZE1W8ynJR01+Pa2uq161\nBrZfknRF/H2su78oSe7+gqSxsXycpCUF+zwby4rLlxaUP1tiewAAAAAABlR1YGtmq0raR9K1sag4\njblcWnMq1iADAAAAkiqr+ZTkoya/nlbXVa9aZkX+nKS/uPsr8e8XzWysu78YhxO/FMuXShpfsN+H\nY9lSSZ1F5bdX2L6kGTNm9P7e2dmZigcZAAAA5c2bNy8VQx2BdrDYTcjsyJXVMhT5K5KuLPj7RknT\n4+/TJd1QUH6QJJnZDpJei0OWb5a0p5mNjhNJ7Snp5jiMeZmZbWdmFve9QWXMmDGj90ZQCwAAkH6d\nnZ19PuOhv6zmU5KPmvx6Wl1XvarqsTWzEQoTRx1SUHyKpGvM7OuSuiRNlSR3v8nM9jazJxVmUP5a\nLO8xsxMk3aswbPm4OImUJB0h6WJJa0i6yd3nNHpiAAAAAIChwTxFfdpm5mlqb93MGGuAxpW7jri+\nAAAJZ2Zy91TM0zJkPp+ibZI4FPmYY87TxImH9Cvv6jpPJ53Uv7xajfzv1zorMgAAAAAAiUJgCwAA\nACRcVvMpyUdNfj2trqteBLaorKMjjH8ovnV0tLtlAAAAQOa5J2sYclKRY5tEg5kD2dEh9fT0L8/l\npO7u6ttCnmby8dwBAFKKHFsg2ZKYY1vLOrbIgp6e8sEOAAAAAKQQQ5EBAACAhMtqPiX5qMmvp9V1\n1YvAFgAAAACQauTYJtFg5kDWmndJnmZ68dwBAFKKHFsg2ZKYY0uPLQAAAAAkVH5RElRGYAsAAAAk\nXFbzKclHTX49ra6rXgS2AAAAAIBUI8c2icixRTPw3AEAUoocW2Cl/DDkJF1m5NgCAAAAANBkBLYA\nAABAwmU1n5J81OTX0+q66rVKuxsAAAAAACgtSUOQk4wc2yQixxa16uiQenr6luVyUnd3/2157gAA\nCUeOLZBsScyxpccWyIKeHoJVAAAADFnk2AIAAAAJl9V8SvJRk19Pq+uqF4EtAAAAACDVyLFNInJs\nUatang+eOwBAwpFjCyRbEnNs6bEFAAAAgIQyCzdURmALAAAAJFxW8ynJR01+Pa2uq14EtgAAAACA\nVCPHNonIsUWtyLEFAGQIObbASvlhyEm6zMixBQAAAACgyQhsgaEml1s5C0HhraOj3S0DAABlZDWf\nknzU5NfT6rrqRWALDDXd3WEsS/FNIuAFAABImMKPaiiPHNskIscWtWrHNQMAwCAhxxZINnJsAQAA\nAABoMgJbAAAAIOGymk9JPmry62l1XfUisAUAAAAApBo5tklEji1qRY4tACBDyLEFko0cWwAAAABA\n1fILVaAyAlsAaKaODpZNAgA0XVbzKclHTX49ra6rXqu0uwEAkCk9PeWH7wMAAGBQkGObROTYolbk\n2CYH/zMA0DBybIGV8t+NJ+kyI8cWAAAAAIAmI7AFAAAAEi6r+ZTkoya/nlbXVS9ybAEAAAAgoZI0\nBDnJyLFNInJsUStybJOD/xkAaBg5tkCykWMLAAAAAECTEdiiuVjDEwAAoOmymk9JPmry62l1XfUi\nsEVz5dfwLL719LS7ZUAy8WUQAABAw8ixTaI059iSX9ge5NgmB/8zANAwcmyBZCPHFgAAAABQtfxg\nLlRGYAsAAAAkXFbzKclHTX49ra6rXgS2AAAAAIBUI8c2icixRa3IsU0O/mcAoGHk2AIr5YchJ+ky\nI8cWALKi3GzGuVy7WwYAADDkENgCQD3KLW3V3d3ulgEAMiir+ZTkoya/nlbXVa9V2t0AAAAAAEBp\nSRqCnGTk2CYRObaoFTm2rVfr48L/DABUjRxbINnIsQUAVCeX65+/29FRetty+b7lti+nWccBAABo\nMQJbAEii7u7++bs9PaW3LZfvW277cgGsVNtxAAAtk9V8SvJRk19Pq+uqFzm2ADDU5ANhAACAjKiq\nx9bMRpvZtWb2qJk9bGbbm1nOzOaa2SIzu9nMRhdsf5aZPWFmC81sy4LyaWb2eNznoILyrczsr/G+\nM5p7igAAAEC6dXZ2UlcK6mllXVk8p0ZUOxT5TEk3uftmkj4p6TFJ35N0q7tvKuk2Sd+XJDP7nKSN\n3H0TSYdKOjeW5yT9WNK2kraXdGxBMHyOpIPdfbKkyWY2pRknBwAAAABpVpgxhPIGDGzNbJSkXdz9\nIkly9/fdfZmkfSXNipvNin8r/rwkbvtnSaPNbKykKZLmuvsyd39N0lxJe5nZ+pJGuvs9cf9LJO3X\nlLNLq1KTxjCBCwAAwJCV1XxK8lGTX0+r66pXNT22G0p6xcwuMrP7zOw8Mxshaay7vyhJ7v6CpLFx\n+3GSlhTs/2wsKy5fWlD+bInth65Sk8YwgQsAAAAAlFRNYLuKpK0k/dLdt5L0psIw5OKZR8rNRELH\nOQAAANCArOZTko+a/HpaXVe9qpkV+VlJS9z93vj3rxUC2xfNbKy7vxiHE78U718qaXzB/h+OZUsl\ndRaV315h+5JmzJjR+3tnZ2cqHmQAAACUN2/evFQMdQSQXAP22MbhxkvMbHIs+kdJD0u6UdL0WDZd\n0g3x9xslHSRJZraDpNfiMW6WtGecYTknaU9JN8dhzMvMbDszs7hv/lj9zJgxo/dGUAsAAJB+nZ2d\nfT7job+s5lOSj5r8elpdV72qXcf2PyRdbmarSnpa0tckDZd0jZl9XVKXpKmS5O43mdneZvakwrDl\nr8XyHjM7QdK9CsOWj4uTSEnSEZIulrSGwuzLc5pxcgAAAEAlZvZhhclLx0paIel8dz8rdsRcLWmi\npMWSpsYJVIGWYun56pin6JEyM09Te5vOrPEru9wxOjpKT06Vy4XJrKo9Tq3laI7BfHx57kqr9XFp\nxv9Gs/7vmtV2ABgkZiZ3b8k8LTGlbn13X2hma0n6i8IqH1+T9Kq7/7eZHS0p5+7fK7H/0P58iiHp\nmGPO08SJh/Qr7+o6Tyed1L+8Wo3871e7ji2yrtxMzKWCWgAAgIxw9xfcfWH8/Q1JjyrM+VK8tOXQ\nXo4SSDgC2yzr6Oi/Fm4u1+5WAQAAJJKZTZK0paS71H9py/Xa17Ls5lOSj5r8elpdV72qzbFFGvX0\nMHwQAACgCnEY8mxJR7r7G2ZW7dKWmj59uiZNmiRJGjNmjLbccsveSU7zAUGjf+c163iV/l64cOGg\nHr/w74ULFw76+RTK2uPXqr/ziv9etCj8vemmYfuurkWaN29e1cc/44wztHDhwt7/n0aQY5smScqL\nI8c2WcixbT1ybAFg0LQyxzbWt4qk30r6vbufGcseldRZsLTl7e6+WYl9h/bnUwxJ5NgCAAAAyTNT\n0iP5oDYqXNpymiosRwkMpnxGISojsAWAVsjl+ue8k/cOAG1nZjtJ+qqkz5jZ/WZ2n5ntJekUSXua\n2SJJ/yjp5Ha2M6v5lOSjJr+eVtdVL3JsAaAVmGEcABLJ3f8kaXiZu/doZVsA1I8c2zRJUl4cObbJ\nQo5t67XjcSHHFsAQ0eoc20YM+c+nGHT5YchJuszIsQUAAAAAoMkIbAEAAICEy2o+Jfmoya+n1XXV\ni8AWwNDT0VF6IqeOjna3DAAAoA/3ZA1DTipybNMkSXlx5NgmCzm2tRnMNWUHEzm2AIYIcmyBZEti\nji2zIqM++aVLSpUDAAAAQAsxFDlNyq2D2Y7hk93dK8dFFN5Y0gQAAKDpsppPST5q8utpdV31IrBN\nk3LBpFQ64KX3FAAAAMAQQI4tWqOjQ+rp6V+ey9HL2wzk2NaGHFtybAEkGjm2QLKRY4uhq1zwWipP\nFwAAAICklR+X+f6kMoYiAwAAAAmX1XxK8lGTX0+r66oXgS0AAAAAINXIsUV7kbvXHOTY1oYcW3Js\nASQaObbASkkcipzEHFt6bAEgLcot+TXYM6CXqrdZy4x1dCRnGTMAAJBaBLYAkJektaJLqXX96GYF\nwqXqlUofu9abVPqcSs2iLhEIAxiysppPST5q8utpdV31YlZkAMgrFyDmg6lCaVgnejCX0mrXMl09\nPeWHVwMAkEFJGoKcZOTYor3I3WsOcmxrk8VzyprBzhsGkGjk2ALJRo4tAAAAAABNRmALAAAAJFxW\n8ynJR01+Pa2uq14EtgAAAACAVCPHFu1FXlxzkGNbmyyeU9Y0I8e2o6P07Mq5XPsmvwJQFXJsgWQj\nxxYAgFbJz6Bc7VJFLBkEAEigwhXyUB6BLQBgaCm3HnC5tXMBIAGymk9JPmry62l1XfUisAUAAAAA\npBo5tmgvch2bgxzb2mTxnLKmGTm2tT7PXBdAYpBjC6yUH4acpMuMHFsAAAAAAJqMwBYAAABIuKzm\nU5KPmvx6Wl1XvVZpdwMAAAAAAKUlaQhykpFji/Yip605yLGtTRbPKWvIsQWGNHJsgWQjxxYAAAAA\ngCYjsAUAAAASLqv5lOSjJr+eVtdVLwJbAAAAAECqkWOL9iKnrTnIsa1NFs8pa8ixBYY0cmyBZCPH\nFgAAAABQNbNwQ2UEtgAAAEDCZTWfknzU5NfT6rrqRWALAAAAAEg1cmzRXuS0NQc5trXJ4jllDTm2\nwJBGji2wUn4YcpIuM3JsAQAAAABoMgJbAAAAIOGymk9JPmry62l1XfVapd0NAAAAAACUlqQhyElG\nji3ai5y25iDHtjZZPKesIccWGNLIsQWSjRxbAAAAAACajMAWAAAASLis5lOSj5r8elpdV70IbAEA\nAAAAqUaOLdqLnLbmIMe2Nlk8p6whxxYY0sixBZItiTm2zIoMAEi/XG7lCvaFZQAApFz+7Y3vTypj\nKDIAIHnygWrxrVyw2t0d3vELb93dzamzo6Px85HCcao9dqlt62lLs44DoO2ymk9JPmry62l1XfWi\nxxYAkDy1BqWDWWc+OCyWy9XWzp6e0sOlq9220vYdHWGfUm2s5TgAAKRUVTm2ZrZY0jJJKyS95+7b\nmVlO0tWSJkpaLGmquy+L258l6XOS3pQ03d0XxvJpko6R5JJOcvdLYvlWki6WtIakm9z9qDLtIIch\na8hpaw5ybGuTxXNC6zUjh7cZucTNaguQIOTYAislcShyEnNsqx2KvEJSp7t/yt23i2Xfk3Sru28q\n6TZJ34+N+Zykjdx9E0mHSjo3luck/VjStpK2l3SsmY2OxzpH0sHuPlnSZDObUs/JAAAAAACGnmoD\nWyux7b6SZsXfZ8W/8+WXSJK7/1nSaDMbK2mKpLnuvszdX5M0V9JeZra+pJHufk/c/xJJ+9VzMgAA\nAEAWZTWfknzU5NfT6rrqVW1g65JuNrN7zOwbsWysu78oSe7+gqSxsXycpCUF+z4by4rLlxaUP1ti\newAAAAAY0vJzIqKyaieP2sndnzezdSXNNbNFCsFuoXIPdyryIwAAAICk6uzspK4U1NPKurJ4To2o\nKrB19+fjz5fN7HpJ20l60czGuvuLcTjxS3HzpZLGF+z+4Vi2VFJnUfntFbYvacaMGb2/d3Z2puJB\nBgBkUKm1cwfaHkBJ8+bNS8VQRwDJNeBQZDMbYWZrxd//QdJnJT0o6UZJ0+Nm0yXdEH+/UdJBcfsd\nJL0WhyzfLGlPMxsdJ5LaU9LNcRjzMjPbzsws7ps/Vj8zZszovRHUAgDaptTauZVu7VjCCEiJzs7O\nPp/x0F9W8ynJR01+Pa2uq17V9NiOlXSdmXnc/nJ3n2tm90q6xsy+LqlL0lRJcvebzGxvM3tSYbmf\nr8XyHjM7QdK9CsOWj4uTSEnSEeq73M+cpp0hAAAAACDTqlrHNilYJyyDWEuxOVjHtjZZPCekE+vY\nAiWxji2QbGlexxYAAAAA0GJmtU3pMFQR2AIAAAAJl9V8SvJRk19Pq+uqV7XL/QAAgGYrN7MyMygD\nAFATcmzRXuR5NQc5trXJ4jlhaCDHFkMEObbASvnvP5N0mZFjCwAAAABAkxHYAgAAAAmX1XxK8lGT\nX0+r66oXObYAAAAAkFBJGoKcZOTYor3I82oOcmxrk8VzwtBAji2GCHJsgWQjxxYAAAAAgCYjsAUA\nAAASLqv5lOSjJr+eVtdVLwJbAAAAAECqkWOL9iLPqznIsa1NFs8JQwM5thgiyLEFko0cWwAAAABA\n1czCDZUR2AIAAAAJl9V8SvJRk19Pq+uqF4EtAAAAACDVyLFFe5Hn1Rzk2NYmi+eEoYEcWwwR5NgC\nK+WHISfpMiPHFgAAAACAJiOwBQAAABIuq/mU5KMmv55W11WvVdrdAAAAAABAae0agvzLX16h5557\nQ5LU1bVIt9zyeO999977kCZObE+7yiHHFu1FnldzkGNbmyyeE4YGcmwxRJBjC7RfuTxaSZo16zBN\nm3Zuv3JybAEAQLZ1dKxcjLHw1tHR7pYBADKAwBYAgLTI5UoHh7lc48cuF3iWu9UakPb0hF7i4ltP\nT+NtB4aArOZTko+a/HokadGi1tVVLwJbAADSoru7dHDY3V3bcUoFyFLpY5e7SbUFwuWC73LBeqnA\nmV5fAEAZTB4FAMBQU2sgPFjHqHScfLBdKN/rWywf8BbL5ZrXTqDNOjs7qSsF9bSyrlae06abtq6u\nehHYAgCAdKslOAaAlCkcVIPyGIoMAAAAJFwWc0RbWRfn1BhybAEAAAAAGGQEthh6BnPmTyY2AQAA\ngyCLOaKtrItzakwacmwJbJE8zQoOyx1Hanzmz3JtYTkLAAAAoOUIbNFetSw5UWtwWC7IrHWGzFLL\naxCoAgCAFspijmgr6+KcGpOGHFtmRUZ7sQwDAAAAUBazIVeHHlukX7khx7lcu1sGAADQFFnMEW1l\nXZxTY9KQY0uPLdIvP+QYAAAAwJBEjy1Qj1K5wfQSAwCAQZLFHNFW1sU5NYYcWyCryA0GAAAAEoMe\nWwAAACDhspgj2sq6OKfGpCHHlsAWAAAAABKqcEVMlEdgCwAAACRcFnNEW1kX59SYNOTYEtgCAAAA\nAFKNwBYAAABIuCzmiLayLs6pMeTYAgAAAAAwyAhskR6sHQsAAIaoLOaItrIuzqkxacixZR1bpAdr\nxwIAAGCIcW93C9KBHlsAAAAg4bKYI9rKujinxpBjCwAAAADAICOwBQAAABIuizmirayLc2pMGnJs\nCWwBAAAAAKlGYAsAAAAkXBZzRFtZF+fUGHJsAQAAAAB1y69wicoIbAEAwNDS0VF6XfSOjna3DCgr\nizmirayLc2pMGnJsWccWAAAMLT09pReGpEsEAFKLHlsAAAAg4bKYI9rKujinxpBjCwAAAADAICOw\nBQAAABIuizmirayLc2oMObYAAAD1yOX657zmcu1pCwC0UakpAdBf1T22ZjbMzO4zsxvj35PM7C4z\ne9zMrjSzVWL5amZ2lZk9YWZ3mtmEgmN8P5Y/amafLSjfy8wei8c6upknCAAAUqi7O3yaK7x1d7e7\nVa1TbubmcjdmdM68LOaItrIuzqkxWcuxPVLSIwV/nyLpNHefLOk1SQfH8oMldbv7JpLOkPTfkmRm\nm0uaKmkzSZ+TdLYFwyT9QtIUSR+T9BUz+2j9pwQAAJBy+Zmbq7319LS7xQDQVlUFtmb2YUl7S7qg\noPgzkn4df58lab/4+77xb0maHbeTpH0kXeXu77v7YklPSNou3p5w9y53f0/SVfEYAAAAAJTNHNFW\n1sU5NSYNObbV9tj+TNJ/SXJJMrO1JfW4+4p4/7OSxsXfx0laIknu/oGkZWbWUVgeLY1lxeWFxwIA\nAAAAoKIBJ48ys89LetHdF5pZZ+FdVdbR1NXOZ8yY0ft7Z2dnS8eWAwAAoPnmzZvX0t6nNMpijmgr\n6+KcGpOGHNtqZkXeSdI+Zra3pDUljZR0pqTRZjYs9tp+WKEHVvHneEnPmdlwSaPcvdvM8uV5+X1M\n0oQS5SUVBrYAAABIv+LOiuOOO659jQESJj9BPLMjVzbgUGR3/4G7T3D3j0j6sqTb3P3fJN0uaf+4\n2TRJN8Tfb4x/K95/W0H5l+OsyRtK2ljS3ZLukbSxmU00s9ViHTc2fmoAAABANmQxR7SVdXFOjUlD\njm0j69h+T9JVZnaCpPslXRjLL5R0qZk9IelVhUBV7v6ImV2jMLPye5L+3d1d0gdm9i1JcxUC7Qvd\n/dEG2gUAAAAAGELMU9SnbWaepvYCvcwGd/zIYB5/sNveDlk8JwD9lftfr7W8HWptS5La3gRmJndv\n6jwtg4XPpxhs7RqKfMwx52nixENK3jdr1mGaNu3cfuVdXefppJNK71ONRv73a1nHFgAAAACAxCGw\nBQAAABIuizmirayLc2pM1nNsAQAAkiuXWzmGr7gcAFKCke7VoccWAABkU3d3+ERYfOvuLr19PhCu\n9tbR0f8YHR2NHwMoIYvrsLayLs6pMWlYx5bAFgAAQCofCJe79fT0P0ZPT+PHQEuZ2YVm9qKZ/bWg\n7Fgze9bM7ou3vdrZRgADI7AFAADAUHaRpCklyk93963ibU6rG1UsizmirayLc2pMGnJsCWwBAAAw\nZLn7HZJKdZ2nYrkhAAGBLQAAANDfEWa20MwuMLPR7W5MFnNEW1kX59SYNOTYMisyAAAA0NfZko53\ndzezEyWdLungchtPnz5dkyZNkiSNGTNGW265ZW/QkR8uyt/8Xe/fu+8uSZ1yb339+SHI+cC2eEhy\n8f1dXYs0b968qo9/xhlnaOHChb3/P40wT9H80WbmaWov0MtscOdqH8zjD3bb2yGL5wSg9Uq9ltT6\n+uLoxAwAACAASURBVFJu+2YdJ6XMTO7esqHAZjZR0m/cfYta7ov3t+TzaWGwQF3JrWcw6sqvWlZ8\nmQ32OR1zzHmaOPEQSSGALey1nTXrME2bdm6/fbq6ztNJJx1Sd52N/O8zFBkAAABDnakgp9bM1i+4\n758lPdTyFgGoCUORAQAA6pFf97a4DKliZldI6pS0tpk9I+lYSbub2ZaSVkhaLOnQtjUwymKOaCvr\n4pwaQ44tAABAVnV3t7sFaAJ3P6BE8UUtbwiAhjAUGUiTjo7QO1B8o4cAAIBMy+I6rK2si3NqTBrW\nsaXHFkiTnp5MTQ4CAACAyvjoVx16bAEAAICEy2KOaCvr4pwak4YcWwJbAAAAAECqEdgCAACgduXm\nfSh36+hod4tTLYs5oq2si3NqTBpybAlsAQAAsqjWwLPWgDQ/70O1t56e6tsIADVi8igAAIAsataE\ng80KNMut+1uqjQS3/WQxR7SVdXFOjUlDji2BLQAAAAYf6/4Cdcl/z8PsyJUxFBkAAADl5XtaWUO9\nrbKYI9rKujinxqQhx5YeWwAAAJRHTyuAFCCwBQAAaJdSeaf58kaPQ49qpmQxR7SVdXFOjSHHFgAA\nAOU1qzeUXlUAQxw5tgAAAEDCZTFHtJV1cU6NIccWAAAAwP9n797jJKvKe/9/v+NEJoZbNygwMPQo\nN8UkZyQJ4i0OXkCiAYwm4XJ0GDkCAoKXJGBQYTSomF8AiaAgF8EEETknQBQEjHaMogSEERUcMEAz\nzMCAdA8wIorD8/tj7x5qd1f1VFdX7dp79ef9eu3XVO3atZ+1qrp76qm1nrWBjrEacnsYsQUAAAAq\nLsUa0TJj0aeZqUONLYktAAAAAKDWSGwBAACAikuxRrTMWPRpZupQY0tiCwAAAACoNRJbAAAAoOJS\nrBEtMxZ9mhlqbAEAAAAAHbOzDVMjsQUAAAAqLsUa0TJj0aeZocYWAAAAAIAem9vvBgAAAACYWoo1\nomXGSqlPZ599qVavXidJuuGGuwqPzZ+/qY455pCux6xDjS2JLQAAAADUxOrV6zQ0dETTx0ZGziu5\nNdXBVGQAAACg4lKsES0zVop9KrPutQ41tozYAgAAAEBFRfS7BfXAiC0AAABQcSnViPYjVop9KrPu\ntQ41tiS2AAAAAIBaI7EFAAAAKi7FGtEyY6XYJ2psi0hsAQAAAAC1RmIL9NPgoGRP3gYH+90yAABQ\nISnWiJYZK8U+UWNbxKrIQD+NjTVf6s4uvy0AAAConPGPhayOPDVGbAEAAICKS7FGtMxYKfaJGtsi\nElsAAAAAQK2R2AIAAAAVl2KNaJmxUuwTNbZFJLYAAAAAgFojsQWqaGCg+WrJAwP9bhkAAOiDFGtE\ny4yVYp+osS1iVWSgikZH+90CAAAAVACrIbeHEVsAAACg4lKsES0zVop9osa2iMQWAAAAAFBrJLYA\nAABAxaVYI1pmrBT7RI1tEYktAAAAAKDWNprY2t7E9k22b7P9Y9sn5/sX2v6B7btsf9n23Hz/c21f\nZvtu29+3vWPDuT6U77/T9j4N+99k+2f5uU7oRUeBvkpxlePBweZ9Ghzsd8sAAEhOijWiZcZKsU/U\n2BZtNLGNiF9L2jsiXiZpkaT9bL9c0mmS/ikidpW0VtLh+VMOlzQaEbtIOlPSpyXJ9u6S/krSSyTt\nJ+kcZ+ZI+qykfSW9VNLBtl/cxT4C/Tc6mi1pN3Gr8+rHY2PN+zQ21u+WAQAAJGN87ABTa2sqckQ8\nmd/cRNklgkLS3pL+b77/YkkH5rcPyO9L0hWSXpff3l/SZRHx24i4T9LdkvbMt7sjYiQinpZ0WX4O\nAAAAAEqzRrTMWCn2iRrborYSW9tzbN8m6SFJN0j6H0lrI+KZ/JAHJG2f395e0kpJioj1kh6zPdi4\nP7cq3zdxf+O5AAAAAACY0tx2DsoT2JfZ3lzSv0mazlThrg6cn3LKKRtuL168uNT58gAAAOi+4eHh\nUkfU6ijFGtEyY6XYJ2psi9pKbMdFxOO2hyW9QtKWtufkSe8OykZglf+7QNJq28+RtHlEjNoe3z9u\n/DmWtGOT/U01JrYAAACov4mDFcuWLetfYwDUUjurIm9te4v89u9KeqOkOyR9W9Jf5octkXRVfvvq\n/L7yx7/VsP+gfNXkF0raWdJ/S7pZ0s62h2w/V9JB+bEAAAAAlGaNaJmxUuwTNbZF7YzYbifp4nz1\n4jmSvhIR19i+U9Jltj8u6TZJF+THXyDpS7bvlvSoskRVEXGH7cuVJcVPSzo6IkLSetvHSro+P/8F\nEXFn97oIAAAAAPUU0e8W1MNGE9uI+LGkPZrsv1fSy5vs/7Wyy/o0O9cnJX2yyf5vSNqtjfYCAAAA\ns06KNaJlxkqxT9TYFrW1KjIAAAAAAFVFYgtgagMDz14ZvHEbGOh3ywAAmDVSrBEtM1aKfaLGtmha\nqyIDmIVGR/vdAgAAAGBKjNgCAAAAFZdijWiZsVLsEzW2RSS2AAAAAFBR41VgmBqJLQAAAFBxKdaI\nlhkrxT5RY1tEYgsAAAAAqDUSWwAAAKDiUqwRLTNWin2ixraIxBYAAAAAUGsktgAAAEDFpVgjWmas\nFPtEjW0R17EFAAAAgIqK6HcL6oERWwAAAKDiUqwRLTNWin2ixraIxBYAAAAAUGsktgAAAEDFpVgj\nWmasFPtEjW0RiS0AAAAAoNZIbAEAAICKS7FGtMxYKfaJGtsiElsAAAAAqCg72zA1ElsAAACg4lKs\nES0zVop9osa2iMQWAAAAAFBrJLYAAABAxaVYI1pmrBT7RI1tEYktAAAAAKDWSGwBAACAikuxRrTM\nWCn2iRrborn9bgAAAAAAoLmIfregHhixBQAAACouxRrRMmOl2CdqbItIbAEAAAAAtUZiCwAAAFRc\nijWiZcZKsU/U2BaR2AIAAAAAao3EFgAAAKi4FGtEy4yVYp+osS0isQUAAACAirKzDVMjsQUAAAAq\nLsUa0TJjpdgnamyLSGwBAAAAALVGYgsAAABUXIo1omXGSrFP1NgWkdgCAAAAAGqNxBYAAACouBRr\nRMuMlWKfqLEtmtvvBgAAAAAAmovodwvqgRFbAAAAoOJSrBEtM1aKfaLGtojEFgAAAABQayS2AAAA\nQMWlWCNaZqwU+0SNbRGJLQAAAACg1khsAQAAgIpLsUa0zFgp9oka2yISWwAAAACoKDvbMDUSWwAA\nAKDiUqwRLTNWin2ixraIxBZAugYHn/2as3EbGOh3ywAAANBFc/vdAADombExrmoOAEhCijWiZcZK\nsU/U2BYxYgsAAAAAqDUSWwAAAKDiUqwRLTNWin2ixraIqcgAAAAAUFFUVbWHEVsAAACg4lKsES0z\nVop9osa2iMQWQO+1Wp14cLA/5wEAAEBSSGwB9N746sQTt7Gx/pwHAICaSbFGtMxYKfaJGtsiElsA\n/TMwwAgsAAAAZozEFkD/jI42H4GVmie8AwP9bS8AAH2SYo1ombFS7BM1tkWsigygekZH+90CAACA\nSrCzf1kdeWqM2AIAAAAVl2KNaJmxUuwTNbZFG01sbe9g+1u2f2r7x7aPy/cP2L7e9grb19neouE5\nZ9m+2/Zy24sa9i+xfVf+nHc27N/D9u35Y2d2u5MAAAAAgHS1M2L7W0kfiIiXSnqFpGNsv1jSiZK+\nGRG7SfqWpA9Jku39JO0UEbtIOlLS5/P9A5I+KulPJL1c0skNyfDnJB0eEbtK2tX2vt3qIAAAAFB3\nKdaIlhkrxT5RY1u00cQ2Ih6KiOX57XWS7pS0g6QDJF2cH3Zxfl/5v5fkx98kaQvb20jaV9L1EfFY\nRKyVdL2kN9neVtJmEXFz/vxLJB3Yjc4BAAAAANI3rRpb2wslLZL0A0nbRMQaKUt+JW2TH7a9pJUN\nT3sg3zdx/6qG/Q80OR4AAACA0qwRLTNWin2ixrao7cTW9qaSrpB0fD5yO3FdrlbrdLnDtgEAAADA\nrNZ4NUS01tblfmzPVZbUfikirsp3r7G9TUSsyacTP5zvXyVpQcPTd8j3rZK0eML+b09xfFOnnHLK\nhtuLFy8udb48AAAAum94eLjUEbU6SrFGtMxYKfaJGtuidq9je6GkOyLiMw37rpZ0mKTT8n+vath/\njKSv2N5L0to8+b1O0qn5glFzJL1R0okRsdb2Y7b3lHSzpHdKOqtVQxoTWwAAANTfxMGKZcuW9a8x\nAGqpncv9vErSoZJeZ/s227fafpOyhPaNtldIep2kT0lSRFwj6V7bP5d0rqSj8/1jkj4u6RZJN0la\nli8iJWWJ8AWS7pJ0d0R8o4t9BAAAAGotxRrRMmOl2CdqbIs2OmIbEd+T9JwWD7+hxXOObbH/i5K+\n2GT/DyX9wcbaAgAAAADARO1ORQaA6hoYkNxknbqBgfLbAgBAD6RYI1pmrBT7RI1tEYktgPobHe13\nCwAAAHpi/Lt7Vkae2rSuYwsAAACgfCnWiJYZK8U+UWNbRGILAAAAAKg1ElsAAACg4lKsES0zVop9\nosa2iMQWAAAAAFBrJLYAAABAxaVYI1pmrBT7RI1tEasiAwAAAEBFsRpyexixBQAAACouxRrRMmOl\n2CdqbIsYsQXQXQMDz15wrXEfAAAA0COM2ALortHRbM5M4zY62u9WAQDQlO0LbK+xfXvDvgHb19te\nYfs621v0s41SmjWiZcZKsU/U2BaR2AIAAGA2u0jSvhP2nSjpmxGxm6RvSfpQ6a0CMC0ktgAAAJi1\nIuK7ksYm7D5A0sX57YslHVhqo5pIsUa0zFgp9oka2yISWwAAAKDoBRGxRpIi4iFJL+hzezCL2ZOX\nL8FkJLYAAADA1Pp+wZUUa0TLjJVin6ixLWJVZAAAAKBoje1tImKN7W0lPTzVwYcddpgWLlwoSdpy\nyy21aNGiDdNRx5Ocmd4f163zTXV/+fLlPT1/4/3ly5f3vD+N6vr6Sc/eHxlZoaGhbO94wjk+VXhk\nZIWGh4e7Fn9iQtvqfqfxzzzzTC1fvnzD789MOGp0xV/bUaf2AgAAYPpsKyJKm3xpe6Gkf4+IP8jv\nnyZpNCJOs32CpIGIOLHFc/l8ip4an4Y8/mN20knnaWjoiKbHjoycp1NPbf7YdE0V5+KLj9KSJZ/v\nevyZ/O4zFRkAAACzlu1LJd0oaVfb99teKulTkt5oe4Wk1+f3AVQYiS0AAABmrYg4JCLmR8QmEbFj\nRFwUEWMR8YaI2C0i9omItf1uZ4o1omXGSrFP1NgWUWMLAAAAABXFTPf2MGILAAAAVFyK12EtM1aK\nfeI6tkUktgAAAACAWiOxBQAAACouxRrRMmOl2CdqbItIbAEAAAAAtUZiCwAAAFRcijWiZcZKsU/U\n2BaR2AIAAABARdnZhqmR2AIAAAAVl2KNaJmxUuwTNbZFJLYAAAAAgFojsQUAAAAqLsUa0TJjpdgn\namyLSGwBAAAAALVGYgsAAABUXIo1omXGSrFP1NgWze13AwAAAAAAzUX0uwX1wIgtAAAAUHEp1oiW\nGSvFPlFjW0RiCwAAAACoNRJbAAAAoOJSrBEtM1aKfaLGtojEFgAAAABQayS2AAAAQMWlWCNaZqwU\n+0SNbRGJLQAAAABUlJ1tmBqJLQAAAFBxKdaIlhkrxT5RY1tEYgsAAAAAqDUSWwAAAKDiUqwRLTNW\nin2ixraIxBYAAAAAUGtz+90AAAAAAFMbHh4ubSSw6rHOPvtSrV69btL++fM31THHHNK1OJ0qK9aK\nFcNtj6S2es2kqV+3TmL1C4ktAAAAgNpYvXqdhoaOmLR/ZOS8PrSm9yJmfo5Wr5mUzuvGVGQAAACg\n4lKsES0zVop9osa2iMQWAAAAAFBrJLYAAABAxaV4HdYyY6XYJ65jW0RiCwAAAACoNRJbAAAAoOJS\nrBEtM1aKfaLGtojEFgAAAAAqys42TI3L/QCYdQZPG9TYU2NtHz8wb0CjJ4z2sEUAAEwtxeuwlhkr\nxT6VeW1ZrmMLABU09tSY4uT2LwrnZXxNCgAAUGVMRQYAAAAqLsUa0TJjpdgnamyLSGwBAAAAALVG\nYgsAAABUXIrXYS0zVop94jq2RRtNbG1fYHuN7dsb9g3Yvt72CtvX2d6i4bGzbN9te7ntRQ37l9i+\nK3/OOxv272H79vyxM7vZOQAAAACos4hsw9TaWTzqIkn/LOmShn0nSvpmRHza9gmSPiTpRNv7Sdop\nInax/XJJn5e0l+0BSR+VtIckS/qh7asi4jFJn5N0eETcbPsa2/tGxHXd6yKA2arV6scD8wb60BoA\nADqXYo1ombFS7BM1tkUbTWwj4ru2hybsPkDSa/PbF0v6trJk9wDlCXBE3GR7C9vbSNpb0vV5Iivb\n10t6k+3/lLRZRNycn+sSSQdKIrEFMGPTXf0YAAAA9dRpje0LImKNJEXEQ5K2yfdvL2llw3EP5Psm\n7l/VsP+BJscDAAAAyKVYI1pmrBT7RI1tUbcWj2o1JMLFHwEAAAAAPdVOjW0za2xvExFrbG8r6eF8\n/ypJCxqO2yHft0rS4gn7vz3F8S2dcsopG24vXry41PnyAAAA6L7h4eFSR9TqKMUa0TJjpdgnamyL\n2k1sreLo69WSDpN0Wv7vVQ37j5H0Fdt7SVqbJ7/XSTo1Xz15jqQ3SjoxItbafsz2npJulvROSWdN\n1ZDGxBYAAAD1N3GwYtmyZf1rDFAxzrMwVkaeWjuX+7lU0o2SdrV9v+2lkj4l6Y22V0h6XX5fEXGN\npHtt/1zSuZKOzvePSfq4pFsk3SRpWUSszUMcI+kCSXdJujsivtHF/gEAAAC1l2KNaJmxUuwTNbZF\n7ayKfEiLh97Q4vhjW+z/oqQvNtn/Q0l/sLF2AAAAAADQTLcWjwIAAADQIynWiJYZK8U+UWNbRGIL\nAAAAAKg1ElsAAACg4lKsES0zVop9osa2qNPL/QAAAAAAeozVkNvDiC0AAABQcSnWiJYZK8U+UWNb\nRGILAAAAAKg1ElsAAACg4lKsES0zVop9osa2iMQWAAAAAFBrJLYAAABAxaVYI1pmrBT7RI1tEYkt\nAAAAAFSUnW2YGoktpjR42qC8zJO2wdMG+900AACAWSPFGtEyY6XYJ2psi7iOLaY09tSY4uTJF8/y\nMr42AgAAAFANJLZAjQyeNqixp8Ym7R+YN6DRE0b70CIAAFCGFGtEy4yVYp+osS0isQVqhBF0AAAA\nYDJqbAEAAICKS7FGtMxYKfaJGtsiRmwBAAAAoKJi8mQ9NMGILQAAAFBxKdaIlhkrxT5RY1tEYgsA\nAAAAqDUSWwAAAKDiUqwRLTNWin2ixraIxBYAAAAAUGsktgAAAEDFpVgjWmasFPtEjW0RiS0AAAAA\nVJSdbZgaiS0AAABQcSnWiJYZK8U+UWNbRGILAAAAAKg1ElsAAACg4lKsES0zVop9osa2iMQWAAAA\nAFBrJLYAAABAxaVYI1pmrBT7RI1t0dx+NwAAAAAA0FxEv1tQD4zYAgAAABWXYo1ombFS7BM1tkUk\ntgAAAACAWiOxBQAAACouxRrRMmOl2CdqbItIbAEAAAAAtUZiCwAAAFRcijWiZcZKsU/U2BaR2AIA\nAABARdnZhqmR2AIAAAAVl2KNaJmxUuwTNbZFJLYAAAAAgFqb2+8GAKiGwdMGNfbU2KT9A/MGNHrC\naB9aBAAAxqVYI1pmrBT7RI1tEYktOjIwb0BeNnmyP0lQfY09NaY4OSbtb/Y+AwAAAFXCVGR0ZPSE\nUcXJMWlrNuIHAACAmUmxRrTMWCn2iRrbIkZsAQAAAKCiYvKEOjTBiC0AAABQcSnWiJYZK8U+UWNb\nRGILAAAAAKg1ElsAAACg4lKsES0zVop9osa2iMQWAAAAAFBrJLYAAABAxaVYI1pmrBT7RI1tEYkt\nAAAAAFSUnW2YGoktAAAAUHEp1oiWGSvFPlFjW0RiCwAAAACoNRJbAAAAoOJSrBEtM1aKfaLGtojE\nFgAAAABQayS2AAAAQMWlWCNaZqwU+0SNbdHcfjcAAAAAANBcRL9bUA+M2AIAAAAVl2KNaJmxUuwT\nNbZFJLYAAAAAgFojsQUAAAAqLsUa0TJjpdgnamyLKpPY2n6T7Z/Zvsv2Cf1uDwAAAACgHiqR2Nqe\nI+mzkvaV9FJJB9t+cX9bBQAAAFRDijWiZcZKsU/U2BZVZVXkPSXdHREjkmT7MkkHSPrZxp44eNqg\nxp4a61nDBuYNaPSE0bbjNju+W22cblu6ce5OzuNlnvF5uqGXr1e/Yg7MG5jxOTqJOZ33tBu/A916\nHfvxenVLs7526/e0G6bzN7CM83RDr9synfe0Sq9Lr82mvjbT688IAOrP+ccwVkeeWlUS2+0lrWy4\n/4CyZHeSiR+wB+YNKE7u3bvc6gP92FNjTeM2O77VsdM1eNpg0/N34zWY6tzTUaX/VHv5elUp5vj5\nZ/qFQqv3errvaTd+B6b7e9cPZXypNrGvrX6++qHVz/R029it83RDr9synfe0Sq9Lr82mvjbTrf8f\nZsvrNZsNDw+XNhKYYqwU+7RixXBpI6llxupUVRLb9p1SvDumMfnE3v4h9ynNzz+d/a2O7YZevgZl\nvL5l60ef6vA6drON3fgdmO7vXa+VHbfqPzPdal+V+tnrtkzn/FV6XXptNvW1mdnefwDolqoktqsk\n7dhwf4d8X0FE8JcfAAAAs06KNaJlxkqxT9TYFlVi8ShJN0va2faQ7edKOkjS1X1uEwAAAACgBiqR\n2EbEeknHSrpe0k8lXRYRd/a3VQAAAEA1pHgd1jJjpdgnrmNbVJWpyIqIb0jard/tAAAAAICqYDXk\n9lRixBYAAABAaynWiJYZK8U+UWNbRGILAAAAAKg1ElsAAACg4lKsES0zVop9osa2iMQWAAAAAFBr\nJLYAAABAxaVYI1pmrBT7RI1tEYktAAAAAFSUnW2YGoktAAAAUHEp1oiWGSvFPlFjW0RiCwAAAACo\nNRJbAAAAoOJSrBEtM1aKfaLGtojEFgAAAABQayS2AAAAQMWlWCNaZqwU+0SNbdHcfjcAAAAAANBc\nRL9bUA+M2AIAAAAVl2KNaJmxUuwTNbZFJLYAesr2l23/fZvHPmR7ne3zet2uXrL9HttP2H7G9vyS\nYv6j7V/YvqeMeHVn+0Hbr+x3OwAAQHeQ2AKQJOWJ2OP5tt72kw37Di6pGSHpjRFxREnxOmJ7d9v/\nbvvhPJn8d9svGn88Ij4naWtl/Wl1jods/zJ/fVfb/oLteR22Z2dJR0naKSJetLHjU2B7X9t397sd\nAFCWFGtEy4yVYp+osS0isQUgSYqIzSJi84jYXNKIpDc37PtyiU1xywfs55TYjqlsKelySbtI2lbS\nHZL+b5PjWvZFWdL7hvz13lPSayT93XQbkr8mCyU9GBGPdfj8uqLqCAAASCKxBdCcNSEps/1K2z+w\nPWb7Adun256TPzbH9tn5COZa27fZ3mXSSe0tbP+X7dPaaoS9ST6d9yjbP5f043z/ObZX2n4sb9PL\nG57zSdv/YvuyfMT5VtsLbX/U9iO277H92objv2/7Y7Zvyfv2VdubTdWuiLgxIr4UEY9FxG8lnSnp\nD23/bjv9auxifr4HJF0v6ffzNg3YvjifLjti+6MN7T3S9n/Y/qztRyWdIOlqSS/KR3/PyY97m+2f\n2h61fX0+qjt+jgdtf9D2TyQ91rDv/bZ/kp/nbNvb5s99zPY1tjfNj32O7SvyUefRvD27Npz/y7bP\nsP2N/Fz/ZXtBw+P/K3/OaD5a/f58/xzbH7H9P/nP0pdsb97WC5m9jx/N/33M9tdsb9Hw+OH5a7nG\n9t+oISmeKq7td9peMf7e2n6r7fsbzw0gXbbvs/2j/P+1/+5nW1KsES0zVop9osa2iMQWQLt+I+mY\niBhQNrr4Fkn/J3/sLZIWSXphRGwp6RBJY41Ptv18Sd+WdE1EnDDN2G+WtIekl+X3b5T0UkmDkq6S\n9NUJI48HSjpH0haS7pL0LUnrJG0j6XRJn5tw/ndIOljS9pI2yY+ZjtdKGomIX03zeZIk2wsl7Svp\n1nzXpcpev4XKRnMPsP2Ohqe8Jj92a0n/JOmtku7JR9ePtv0Hki5SNj35BZK+I+mq8S8icn8l6fWS\ntmrYd2B+7t2VvR5XSnpffo7NJL2n4dgrJb1Q2Yj1zyRdPKFbBytLugckPSRpWd7XLSXdIOkKZe/H\nrnn7JOlvJb1B0isl7SDpaWVfGrTr4HzbNo97fB7zZZLOkPSX+XkXKnvtxrWMGxGXSLpd0j/ZfoGy\nn53DOhkdB1BLz0haHBEvi4g9+90YzE52tmFqJLYA2hIRt0TED/Pb90q6QFlCJ2WJwOaSdrftiLgz\nIn7R8PQhZcnL+RHxyQ7C/0NEPB4Rv87j/0t+f72kTylLzhprS/8jIr4TEc8oS6A2i4jT8/uXSdrN\n9iYNx18UEXdHxJOSTpZ0ULsNy5PSMyS9v4N+XWt7VFnifY2y5GlHSa+W9MGI+HVErJH0z8oStnH3\nRMSFkfl1k/P+taT/FxH/lY8of0LS8yX9ccMxp0fEmgnPPyMixvIR5BslfS8i7siPuUr5FwsRsT5/\nD34VEb+R9HFJf2L7uQ3nujwifpS/R5cq++JDypLnuyPicxHxdESsG/+5knSkpBPzdo2f96/bfzn1\nhYi4L/+C4YqGmG+XdEVE/HdEPC3p7yU1fhGysbhHSjpA0n9IujQivjWNNgGoN6sin5dTrBEtM1aK\nfaLGtojr2AJoi+2XKBsd3EPS7ypLDL4nSRFxre3dJJ0rab7tKyT9XZ4oSllS8KiyUcROPDChLR+S\ntETZiJ+UjbJuLWl8MaE1DYf/StIjE+5b0u9JGk/qVjY8PiLpebY3i4gnpmqU7W0lXSfptIi4qu3e\nPOtNEfH9CeccUvb6PuLs69nxaeGNCyU1treZ+cr6IUmKiGdsr1I2Ij3ugUnPkh5uuP0rTX4dN0xF\nlvRpZUnqVsqm9Tq//WB+/EMNz31y/LmSFkj6nxbtXiDpGtvj04SdxxuMiNEWz2nUKuZ8SfePh0G7\nYAAAIABJREFUPxARj9tuHHGdMm5EjNr+N2Uj4H/WRjsApCMkXZf/fTgvIr7Q7wYBaK4S30ABqIUv\nSPqhsunGWygb1dowMSYizoyIPST9obKRsuMbnvvPykYA/33CSGm7Gush3yDpWEkH5NOiByU91diW\n6Zwvt6Dh9pCkJ9tIardWNqX2XyJiOtNlC6dpsm+lpCciYjDfBiJiy4j4k4ZjNrZo0mpl/Rhv6xxl\nSW1jMjuThZfepWwa82vzqecvHg/VxnNXStq5xWMPSHrdhL7/XptJ7VQeVMN7nNfHNtbIThnX9p7K\nRsy/quxnGcDs8aqI+GNlX2odY/vV/WpIijWiZcZKsU/U2BYxYgugXZtKeiwifmX7pZLeLekeSXK2\neNNvJS1XNrL3G0nrG54bEfFu25coq/XcP5/y2YnN8vM/mifJH1E2YjsdExOww2x/WVkCdLKy6cqt\nn/xsnei1EfHxacaeUkTc52xBrE9L+pikX0raSdI2EfG9Nk/zFUnftX2+pB8oq3X9hbIvJrphU2Vf\nJozlC0qdOo3nXinpNNtHSrpQ0jxJu0XELcpG/E+z/a6IeCCvad0zIr42w/ZeLmnY9uck/UjSP6j4\n89kyru3nSfqSsqnml0u61fbSiOh09gGAGomIB/N/H8lnbuwp6bsTjzvssMO0cOFCSdKWW26pRYsW\nbUhuxqelcr9790dGVmgo//p2fIrseOJVhfb14r7UXv+vv/7r+eO7SZJGRlZIkh555GkNDU0+fsWK\nYa1Zs0LjJsZvdnyjduMPDe2m+fM31UtfOr9w/jPPPFPLly/f8PszE47gagkAimzfI+n/NNYS2t5b\n0uclbSfpFmUjsHtGxD6295X0/ykbJfyVpK9LOjoinrJ9qaSfRMQn8pHDf1U2Dfgv8vrPxrgPSnpb\nRNyY399E2ZTSBRGxOt83V1lCdICkxyX9o6QTJb09Im60/UlJW0V+LVzbb5b0jxGxe37/9/LnPT+f\nYvp9ZSsSv1lZAvkfkg6fanEg20coW0Tol3o2SQ5JLxqvLXZ2TdonJe0w3vYJ51g93uYmj22pbKrv\nn0l6nrIvEE6NiH/LE8K3RcQ+DcfvK+mfI6JxZeK3K0uMt1W20NR7IuLuVrEn7rN9uaRbIuLT+f1j\nJO0bEfvnKwZfqqzG+mFlC0NdpPx9anzPm7XP9h9KOkvS/8pfo09HxGfyn48PKvvSZBtlU6G/1OzL\ngybnvFHSZyPi0vx+4XWyfbiyLy02yV/bD+rZn5mWcZ2tMr1NRLwtP88fS/qGpD0i4n4BSFb+xdac\niFiX/99xvaRlEXH9hOOijM/Tw8PDpY0EVj3WSSedp6GhyZe8Hxk5T6eeOnl/p3E61e1Y4wtHjf+Y\njfd/xYrhSSOpF198lJYs+fykc7TaL7V+3Rpf54mxuhmnkW1FREdLZfV0xNb2DpIuUfZB4RllC3uc\n1eS4syTtp+xD4mERsbyX7QIwtYh4UZN935a0W4vjr1NWa9rssUMabj+j4iJIEz0l6eu2L4uI9+SL\nFhWus5onw++c8LyzGh7/0ITjv64s0R6//8uJ55S0IiJOnqJdBRFxnqTzWj1u+yhJn1SW5Df9tBMR\n86c4/1pJTf/yR8S5ykYYG/ddp2x14cZ9VyhbQKmt2BP3RcRfTbh/tqSz89uPK1sJu9ElDcce0vjA\nxPZFxO0a/+q5eNwzyr6o+Mdm7d7IOV854fHC6xQRFyhb8GzcP7UTNyKOnnD/FhVXVAaQrm0k/Vte\nXztX0r9OTGqBMjAO2Z5eT0X+raQPRMTyfLraD21fHxE/Gz/A9n6SdoqIXfLpjJ+XtFeP2wWggiLi\nhf1uQzdExOeV/S0DANRUZFcAWLTRA0uSYo1ombFS7BM1tkU9XTwqIh4aH32NiHWS7lRxVU4pm054\nSX7MTZK2sL2NAKAcTb8Htf0u20/Yfrxhe8L2zWU3EAAAAFMrbVXk/FqPiyTdNOGh7VW8dMXES1IA\nQM9ExCvH6zIn7L8wIjaLiM0bts0mrE4MAEApUrwOa5mxUuwT17EtKmVV5Hwa8hWSjs9Hbjs9DzPM\nAQAAZoFOF5ABMDv1fMQ2X8H0CmUrTF7V5JBVKl5Dcod8X1MRwZbQdvLJJ/e9DWy8p2y8p7Nt4z1N\nb0vtPcVkKdaIlhkrxT5RY1tUxlTkCyXdERGfafH41cpXOLW9l6S1EbGmhHYBAAAAQKXZz17yB631\nNLG1/SpJh0p6ne3bbN9q+022j8yvA6mIuEbSvbZ/ruzSDEdPcUoAAABg1kmxRrTMWCn2iRrbop7W\n2EbE9zT5epHNjju2l+1AdZU5LQTl4D1ND+9penhP08N7CmC2K21VZKAZ/iNOD+9penhP08N7mh7e\n0/SlWCNaZqwU+0SNbVEpqyIDAABUwcKFCzUyMtLvZiA3NDSk++67r9/NAJAARmwBAMCsMTIy0vcV\nf9me3fiSoX0p1oiWGSvFPlFjW8SILQAAAABUFFfAag8jtgAAAEDFpVgjWmasFPtEjW0RiS0AAAAA\noNZIbAEAAICKS7FGtMxYKfaJGtsiElsAAIAEffjDH9bzn/98zZ8/f8bn2nvvvXXhhRd2oVUA0Bsk\ntgAAABWxcOFCPe95z9Pmm2+u7bbbTkuXLtWTTz457fOsXLlSp59+un72s59p9erVGhkZ0Zw5c/TM\nM8/0oNUoQ4o1omXGSrFP1NgWkdgCAABUhG19/etf1+OPP65bb71Vt9xyi/7hH/5hWudYv369RkZG\ntPXWW2urrbYqnBtA/djZhqmR2AIAAFRI5Nf22G677bTffvvpJz/5iR5//HEdfvjhmj9/vhYsWKCP\nfOQjG467+OKL9epXv1of+MAHtPXWW2vvvffWPvvso1WrVmnzzTfXu971rkkxli5dqmOPPVZvectb\ntPnmm+sVr3iF7r333g2P33DDDXrJS16igYEBvfe9790Qa9yFF16o3XffXVtttZX2228/3X///ZKk\n73//+3r+85+vVatWSZJ+9KMfaXBwUHfddVdPXqvZJMUa0TJjpdgnamyLSGwBAAAqaOXKlbrmmmv0\nspe9TIcddpg22WQT3XPPPbrtttt0ww036Pzzz99w7E033aSdd95ZDz/8sG644QZde+212n777fX4\n44+3rI39yle+omXLlmnt2rXaaaeddNJJJ0mSHn30Ub3tbW/TJz7xCf3iF7/QTjvtpO9973sbnnfV\nVVfpU5/6lK688ko98sgjes1rXqODDz5YkvSKV7xCRx11lJYsWaKnnnpK73jHO3Tqqadq11137eEr\nBQAktgAAABuMT/mb6TYTBx54oAYHB/Wnf/qn2nvvvXX44Yfrmmuu0RlnnKF58+Zp66231vve9z59\n+ctf3vCc7bffXkcffbTmzJmjTTbZpK04b33rW/VHf/RHmjNnjg499FAtX75cknTNNdfo93//9/XW\nt75Vz3nOc/S+971P22677YbnnXvuufrQhz6kXXfdVXPmzNGJJ56o5cuXa+XKlZKkk08+WWvXrtWe\ne+6pBQsW6D3vec/MXhBISrNGtMxYKfaJGtuiuf1uAAAAQFVMmHHbF1dddZX23nvvDfdvvvlmPf30\n09puu+0kZVOVI0I77rjjhmMWLFgw7TiNyerznvc8rVu3TpK0evXqSedrvD8yMqLjjz9eH/zgBze0\nx7ZWrVqlBQsWaO7cuTrssMN0/PHH64wzzph2uwCgE4zYAgAAVMjEetYFCxZo3rx5evTRRzU6Oqqx\nsTGtXbtWt99++4Zjurkw1HbbbbehZnbc+GjseHvOPfdcjY6ObmjPunXrtNdee0mSVq1apWXLlmnp\n0qX6wAc+oKeffrprbZvNUqwRLTNWin2ixraIxBYAAKDCtt12W+2zzz56//vfryeeeEIRoXvuuUff\n+c53pnWeiQlzK29+85t1xx136Morr9T69ev1mc98Rg899NCGx4866ih94hOf0B133CFJeuyxx3TF\nFVdseHzp0qV697vfrfPPP1/z58/Xhz/84Wm1E0BRRDVmk1QdU5EBAAAqotXI6yWXXKITTjhBu+++\nu9atW6cXvehFOuGEE7py7om22morffWrX9V73/teLV26VO94xzv06le/esPjBx54oH75y1/qoIMO\n0v33368ttthCb3zjG/X2t79dZ511lh555BF97GMfk5Stnrxo0SLtv//+etWrXjWt9qJovG7z7LMv\n1erV6yY9Pn/+pjrmmEO6GqsM1Nh2jhrbIhJbAACAirjnnnua7t9ss810zjnn6Jxzzpn02JIlS7Rk\nyZLCvte+9rWF6cRDQ0Nav379hvsXXXTRlMfvs88+WrFiRct2HnrooTr00EMn7T/uuON03HHHbbi/\n3Xbbac2aNS3Pg+lbvXqdhoaOmLR/ZOS8PrQGqA6mIgMAAAAVl2KNaJmxUuwTNbZFJLYAAAAAgFoj\nsQUAAAAqLsUa0TJjpdgnamyLSGwBAAAAoKLsbMPUSGwBAACAikuxRrTMWCn2iRrbop4ntrYvsL3G\n9u0tHn+t7bW2b803LnYGAAAAAGhbGZf7uUjSP0u6ZIpjvhMR+5fQFgAAMIsNDQ21fT1X9N7Q0FC/\nm1AbKdaIlhkrxT5RY1vU88Q2Ir5re2N/tfgfBgAA9Nx9993X7yYAAHqgKjW2e9m+zfbXbe/e78YA\nAAAAVZJijWiZsVLsEzW2RWVMRd6YH0oaiognbe8n6UpJu7Y6+JRTTtlwe/HixaVOKwAAAED3DQ8P\nl5p4AHUS0e8W1EPfE9uIWNdw+1rb59gejIjRZsc3JrYAAACov4mDFcuWLetfYyoqxRrRMmOl2Cdq\nbIvKmopstaijtb1Nw+09JblVUgsAAAAAwERlXO7nUkk3StrV9v22l9o+0vYR+SFvt/0T27dJOlPS\nX/e6TQAAAECdpFgjWmasFPtEjW1RGasiH7KRx8+WdHav2wEAAAAASFNVVkUGAAAA0EKKNaJlxkqx\nT9TYFpHYAgAAAEBF2dmGqZHYAgAAABWXYo1ombFS7BM1tkUktgAAAACAWiOxBQAAACouxRrRMmOl\n2CdqbItIbAEAAAAAtUZiCwAAAFRcijWiZcZKsU/U2Bb1/Dq2AAAAAIDORPS7BfXAiC0AAABQcSnW\niJYZK8U+UWNbRGILAAAAAKg1piIDAAAAFTc8PFzaSODw8LB++tPVWr163aTH5s/fVMccc0hXY5XR\nr27GOfvsS5u+Nnfffad22eUlGhlZoaGh3QqPdft1k7K6126MpN5yy3KddNJ5Tfb/REND3YvVKk63\nXhsSWwAAAAAFq1ev09DQEZP2j4xMTkxmm1avzfDwUXrDG47QU08Na2hoceGxKr9u69Y907I/ZcTp\n1mvDVGQAAACg4lKsES0zVpl9KqselRrbIhJbAAAAAKgoO9swNRJbAAAAoOJSvA5rmbHK7FNZ13zl\nOrZFJLYAAAAAgFojsQUAAAAqLsW61zJjUWNbn1idIrEFAAAAANQaiS0AAABQcSnWvZYZixrb+sTq\nFNexBQAAAICKiuh3C+qBEVsAAACg4lKsey0zFjW29YnVKRJbAAAAAECtkdgCAAAAFZdi3WuZsaix\nrU+sTvU8sbV9ge01tm+f4pizbN9te7ntRb1uEwAAAAAgHWWM2F4kad9WD9reT9JOEbGLpCMlfb6E\nNgEAAAC1kWLda5mxqLGtT6xO9TyxjYjvShqb4pADJF2SH3uTpC1sb9PrdgEAAABA1dnZhqlVocZ2\ne0krG+6vyvcBAAAAUJp1r2XGosa2PrE6Vbvr2J5yyikbbi9evLjUaQUAAADovuHh4VITDwDpqUJi\nu0rSgob7O+T7mmpMbAG0NjgojTUpAhgYkEZHy2/PbMHrDgDTN3GwYtmyZf1rTEWVXfd6ww13lRYr\npTgSNbb9UtZUZOdbM1dLeqck2d5L0tqIWFNSu4BkjY1JEZO3ZkkXume6r/vg4LO1M43b4GC57QYA\nAKizMi73c6mkGyXtavt+20ttH2n7CEmKiGsk3Wv755LOlXR0r9sEADPVKiEdGJjeefgCAgDQjhTr\nXsuMRY1tfWJ1qudTkSPikDaOObbX7QCAbhpPSHtlYGDyCoitpjNPd/pzq+OrpFt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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9ef773210>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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77aZtt91WU6ZMabHefvvtp/3220+jR4/W5ptvrgEDBmj48OGr7z/llFM0btw4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\nVXV8H9sOgZZ0oZJidislhxM7vf1suvxzVc99pfJcSSMkPd7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+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9ee0437d0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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6KpdccglXXnklS5Ys4dxzz2XcuHHLrX/llVfy7ne/m8svv5w999xzte6Xusf0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\nAAAAGM8iqu5BvTCSCwAAACSurvWX1K+mH6fsWEU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KmngKAAAAAIDKkeQCAAAAiatr/SX1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3AAAC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\nABZDyAUAAGAxhFwAAAAW4zVq66z8ulwMkAAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9ef627110>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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pZ0PZ2msAmDljzI8ak7aG5Ejxotto+tVqpl0obKX95TfXqznccQ75WFu1Xh/W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\nxd3BMSrQOdQUAwAAAAAyx87dSoWkGAAAAMiwLNaP0idipYmkGAAAAAB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+DaTJ9obK/fo1\nocWvtMgw2wdIei0i5tmuVwq/UKLirCNpe0nfjYiHbF+k3HS1taYsIpts91du5KBO0nJJ020fERHX\nl7ZlyCrbd0rKH5mycona2RFxa0ScI+mcpO7yZEkTeyJOss7Zkla18XnfPSJesb2xpDttP52MxPVE\nrFT61AGp9SkNbcQ5p5XVC/2AX5f0aXNJf7X9WEQsSKuNLfTUsdKfJF0fEatsH6/c6HRXRqV7RNaT\n4sWS8ovFN0uWoYok0+WmS/qfiLil1O1BUe0u6UDbX5X0CUl9bF8bEZ0+aQkq1suSFkXEQ8nj6ZI4\n6WJ12UfSixGxVJJs/0HSbpJIitEjIuLLHVz1ekkztHZSvFhSfd7jzSTd3dk4tscqVz70xULrRMQr\nyb9v2P6jctNg10ogU4jVoWPyTrx2BaXVpw7odp+SE0ZtEhGvOXfStddbWy+vTwtsz5a0naSOJMUd\naePLkoZKWmK7l6S+TX8vO6HdOBGRP+X5SnWhdrkTbRnaVltak/Xp080XTnfuTJPfUu5XClSXqZKe\nioiLS90QFFdEnBURwyLi08p9//9KQlxdkmlpi2yPSBZ9SZx0rdq8JGkX2xvYtnKfAU62hpKwvWXe\nw4PV+mfxDklfdu7M+bWSvpws60ycryhXOnRgRLxfYJ3eyUw62f6kpH0lPdGZOB2NpfSPyVsdzUyr\nTx2JpXT69CdJY5P7YyStNXhju3+yf9keqNyPeh39f6wjbbw1iS1Jhyp3wq/OajeO1zzT+kHq3v/F\nVuH35U+Sjk5i7qJcycxr7e0w00lxMi++6cLpTyp3xjP+I6witneXdKSkLzp3GvtHkj/eAKrHKZJ+\na3uecmefnlTi9qCIIuKfys0QmCvpUeUOpKaUtFGoZuc7d2mwecrNYpggSbZ3sD1Fah5R+4mkh5Q7\nD8q5yQm3OuNXkjZUbvrwI7YvTeIMsn1bss4mku6zPVe5E2TdGhGzutCndmOlcUxu+2DbiyTtIuk2\n27f3VJ86EiulPOMC5X4Ama/cD3bnJ3GaPw+SRkp6KOnTXyT9V0Q805GdF2qj7XNtfy1Z7SpJA20/\nJ+lU5UqMOqWDcU5x7jJXc5N1x3Y2jiTZvl7S3yWNsP2S7XG2xydTshURMyQtsP28pMslfadD+43g\n3DMAAAAAgOqU6ZFiAAAAAADaQlIMAAAAAKhaJMUAAAAAgKpFUgwAAAAAqFokxQAAAACAqkVSDAAA\nAACoWuuUugEAgI6xPUC5axSGpEGSPpL0unLXXX0nIkaXsHkAAAAViesUA0AFsv1DSSsjYnKp2wIA\nAFDJmD4NAJXJazyw307+3cv2bNs3237e9n/ZPsL2A7Yftb15st5A29OT5Q/Y3q0UnQAAACg1kmIA\nyIb8aT+jJB0vaRtJR0naKiJ2lnSVpJOTdS6WNDlZ/g1JVxaxrQAAAGWDmmIAyJ4HI+J1SbL9gqRZ\nyfLHJdUn9/eRNNJ204jzhrZ7R8S/itpSAACAEiMpBoDseT/v/uq8x6v18d99S9o5IlYVs2EAAADl\nhunTAJANbn+VNcySNKF5Y/vz6TYHAACgMpAUA0A2FLqUQKHlEyR9ITn51hOSxvdMswAAAMobl2QC\nAAAAAFQtRooBAAAAAFWLpBgAAAAAULVIigEAAAAAVYukGAAAAABQtUiKAQAAAABVi6QYAAAAAFC1\nSIoBAAAAAFWLpBgAAAAAULX+P3EkILu8rXrbAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ "<matplotlib.figure.Figure at 0x7fc9eece5d90>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "pa_2 = PerfAnalysis( te.res_dir )\n",
+ "\n",
+ "for task in pa_2.tasks():\n",
+ " pa_2.plotPerf(task, \"Prefer_Idle=1\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "celltoolbar": "Raw Cell Format",
+ "kernelspec": {
+ "display_name": "Python 2",
+ "language": "python",
+ "name": "python2"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 2
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython2",
+ "version": "2.7.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
--
GitLab
From 7674715fd6a7cf11b3ff948ccd2e7efb441a0d9d Mon Sep 17 00:00:00 2001
From: Zhifei Yang <zhifei.yang@arm.com>
Date: Fri, 14 Jul 2017 13:41:47 +0800
Subject: [PATCH 2/2] Add Hikey960 (4 Cortex-A73 + 4 Cortex-A53) board support
in LISA. Verified in Hikey960 board with LISA toolkit.
Signed-off-by: Zhifei Yang <zhifei.yang@arm.com>
modified: libs/utils/env.py
new file: libs/utils/platforms/hikey960.json
new file: libs/utils/platforms/hikey960_energy.py
---
libs/utils/env.py | 9 ++
libs/utils/platforms/hikey960.json | 37 +++++++
libs/utils/platforms/hikey960_energy.py | 124 ++++++++++++++++++++++++
3 files changed, 170 insertions(+)
create mode 100644 libs/utils/platforms/hikey960.json
create mode 100644 libs/utils/platforms/hikey960_energy.py
diff --git a/libs/utils/env.py b/libs/utils/env.py
index 2857f35a2..9ee967096 100644
--- a/libs/utils/env.py
+++ b/libs/utils/env.py
@@ -36,6 +36,7 @@ from energy_model import EnergyModel
from conf import JsonConf
from platforms.juno_energy import juno_energy
from platforms.hikey_energy import hikey_energy
+from platforms.hikey960_energy import hikey960_energy
from platforms.pixel_energy import pixel_energy
USERNAME_DEFAULT = 'root'
@@ -433,6 +434,12 @@ class TestEnv(ShareState):
self.__modules = [ "cpufreq", "cpuidle" ]
platform = Platform(model='hikey')
+ # Initialized HiKey960 board
+ elif self.conf['board'].upper() == 'HIKEY960':
+ self.nrg_model = hikey960_energy
+ self.__modules = [ "bl", "cpufreq", "cpuidle" ]
+ platform = Platform(model='hikey960')
+
# Initialize Pixel phone
elif self.conf['board'].upper() == 'PIXEL':
self.nrg_model = pixel_energy
@@ -441,6 +448,8 @@ class TestEnv(ShareState):
elif self.conf['board'] != 'UNKNOWN':
# Initilize from platform descriptor (if available)
+ self._log.error('Warning: UNKNOWN board type detected!!')
+ self._log.error('Warning: Below execution results may be not expected.')
board = self._load_board(self.conf['board'])
if board:
core_names=board['cores']
diff --git a/libs/utils/platforms/hikey960.json b/libs/utils/platforms/hikey960.json
new file mode 100644
index 000000000..a289576f3
--- /dev/null
+++ b/libs/utils/platforms/hikey960.json
@@ -0,0 +1,37 @@
+{
+ // HiKey960 boards have two clusters
+ // 4 Cortex A73 + 4 Cortex A53 big.LITTLE architecture
+ "board" : {
+ "cores" : [
+ "A53_0", "A53_0", "A53_0", "A53_0",
+ "A73_1", "A73_1", "A73_1", "A73_1"
+ ],
+ "big_core" : "A73_1",
+ "modules" : [ "bl", "cpufreq", "cpuidle" ]
+ },
+
+ "nrg_model" : {
+ "little" : {
+ "cluster" : {
+ "nrg_max" : 70,
+ },
+ "cpu" : {
+ "nrg_max" : 1210,
+ "cap_max" : 870
+ },
+ },
+ "big": {
+ "cluster" : {
+ "nrg_max" : 118
+ },
+ "cpu" : {
+ "nrg_max" : 1715,
+ "cap_max" : 1024
+ },
+
+ }
+ }
+
+}
+
+// vim: set tabstop=4:
diff --git a/libs/utils/platforms/hikey960_energy.py b/libs/utils/platforms/hikey960_energy.py
new file mode 100644
index 000000000..bddbaf4e0
--- /dev/null
+++ b/libs/utils/platforms/hikey960_energy.py
@@ -0,0 +1,124 @@
+# SPDX-License-Identifier: Apache-2.0
+#
+# Copyright (C) 2016, ARM Limited and contributors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"); you may
+# not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from energy_model import (ActiveState, EnergyModelNode, EnergyModelRoot,
+ PowerDomain, EnergyModel)
+
+from collections import OrderedDict
+
+
+#
+# the raw hikey960 energy model data is simply calculated based on Pixel OPP
+#
+
+#
+# LITTLE CA53 Core
+#
+
+CA53_cluster_active_states = OrderedDict([
+ ( 533000, ActiveState(power=4)),
+ ( 999000, ActiveState(power=16)),
+ ( 1402000, ActiveState(power=49)),
+ ( 1709000, ActiveState(power=55)),
+ ( 1844000, ActiveState(power=70))
+])
+
+CA53_cluster_idle_states = OrderedDict([
+ ('WFI', 20),
+ ('cpu-sleep', 20),
+ ('cluster-sleep', 0)
+])
+
+CA53_cpu_active_states = OrderedDict([
+ ( 533000, ActiveState(capacity=257, power=160)),
+ ( 999000, ActiveState(capacity=475, power=390)),
+ ( 1402000, ActiveState(capacity=684, power=752)),
+ ( 1709000, ActiveState(capacity=810, power=1060)),
+ ( 1844000, ActiveState(capacity=870, power=1210))
+])
+
+CA53_cpu_idle_states = OrderedDict([
+ ('WFI', 6),
+ ('cpu-sleep', 0),
+ ('cluster-sleep', 0)
+])
+
+
+#
+# Big CA73 Core
+#
+
+CA73_cluster_active_states = OrderedDict([
+ ( 903000, ActiveState(power=15)),
+ ( 1421000, ActiveState(power=49)),
+ ( 1805000, ActiveState(power=72)),
+ ( 2112000, ActiveState(power=95)),
+ ( 2362000, ActiveState(power=118))
+])
+
+CA73_cluster_idle_states = OrderedDict([
+ ('WFI', 47),
+ ('cpu-sleep', 47),
+ ('cluster-sleep', 0)
+])
+
+CA73_cpu_active_states = OrderedDict([
+ ( 903000, ActiveState(capacity=428, power=332)),
+ ( 1421000, ActiveState(capacity=684, power=752)),
+ ( 1805000, ActiveState(capacity=868, power=1209)),
+ ( 2112000, ActiveState(capacity=979, power=1520)),
+ ( 2362000, ActiveState(capacity=1024, power=1715))
+])
+
+CA73_cpu_idle_states = OrderedDict([
+ ('WFI', 10),
+ ('cpu-sleep', 0),
+ ('cluster-sleep', 0)
+])
+
+little_cores = [0, 1, 2, 3]
+big_cores = [4, 5, 6, 7]
+
+def little_cpu_node(cpu):
+ return EnergyModelNode(cpu=cpu,
+ active_states=CA53_cpu_active_states,
+ idle_states=CA53_cpu_idle_states)
+
+def big_cpu_node(cpu):
+ return EnergyModelNode(cpu=cpu,
+ active_states=CA73_cpu_active_states,
+ idle_states=CA73_cpu_idle_states)
+
+
+def cpu_pd(cpu):
+ return PowerDomain(cpu=cpu, idle_states=['WFI', 'cpu-sleep'])
+
+hikey960_energy = EnergyModel(
+ root_node=EnergyModelRoot(children=[
+ EnergyModelNode(name='cluster0',
+ children=[little_cpu_node(c) for c in little_cores ],
+ active_states=CA53_cluster_active_states,
+ idle_states=CA53_cluster_idle_states),
+ EnergyModelNode(name='cluster1',
+ children=[big_cpu_node(c) for c in big_cores ],
+ active_states=CA73_cluster_active_states,
+ idle_states=CA73_cluster_idle_states)]),
+ root_power_domain=PowerDomain(idle_states=[], children=[
+ PowerDomain(idle_states=["cluster-sleep"], children=[
+ cpu_pd(c) for c in little_cores ]),
+ PowerDomain(idle_states=["cluster-sleep"], children=[
+ cpu_pd(c) for c in big_cores ])]),
+ freq_domains=[little_cores,big_cores])
--
GitLab