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@derkling
Last active March 31, 2017 14:44
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OSPM Estimate_Utilization (Without UtilEst)
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{
"cells": [
{
"metadata": {
"run_control": {
"frozen": false,
"read_only": false
}
},
"cell_type": "markdown",
"source": "Report available at this link:\n https://docs.google.com/document/d/1f2NpnYUS0ci_sLn4i2IY6ZKrRVOqRNnktI9xnt4yK6w/edit"
},
{
"metadata": {
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "markdown",
"source": "# Results WITHOUT using UTIL_EST"
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "USE_UTIL_EST = False",
"execution_count": 1,
"outputs": []
},
{
"metadata": {
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "markdown",
"source": "# Imports"
},
{
"metadata": {
"collapsed": true,
"run_control": {
"frozen": false,
"read_only": false,
"marked": false
},
"trusted": true
},
"cell_type": "code",
"source": "import logging\nreload(logging)\nlogging.basicConfig(\n format='%(asctime)-9s %(levelname)-8s: %(message)s',\n datefmt='%I:%M:%S')\n\n# Enable logging at INFO level\nlogging.getLogger().setLevel(logging.INFO)\n# Comment the follwing line to disable devlib debugging statements\n#logging.getLogger('ssh').setLevel(logging.DEBUG)",
"execution_count": 2,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"read_only": false,
"marked": false
},
"trusted": true
},
"cell_type": "code",
"source": "# Generate plots inline\n%pylab inline\n\nimport json\nimport os\nimport subprocess\n\n# Support to access the remote target\nimport devlib\nfrom env import TestEnv\n\n# Support for trace events analysis\nfrom trace import Trace\n\n# Support to configure and run RTApp based workloads\nfrom wlgen import RTA, Periodic, Ramp\n\n# Suport for FTrace events parsing and visualization\nimport trappy",
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": "Populating the interactive namespace from numpy and matplotlib\n",
"name": "stdout"
}
]
},
{
"metadata": {
"run_control": {
"frozen": false,
"read_only": false
}
},
"cell_type": "markdown",
"source": "# Utility Functions"
},
{
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"read_only": false,
"marked": false
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"trusted": true
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"cell_type": "code",
"source": "def run(wload, collect='ftrace', governor='schedutil',\n use_util_est=False, trace_name=None):\n \n # Run workload on target\n if not trace_name:\n logging.info(\"#### Set [%s] CPUFreq governor\", governor)\n te.target.cpufreq.set_all_governors(governor)\n if governor == 'schedutil':\n for cpu_id in range(te.platform['cpus_count']):\n te.target.cpufreq.set_governor_tunables(\n cpu_id, 'schedutil', **{'rate_limit_us' : '2000'})\n\n logging.info(\"#### Enable Utilization estimation\")\n feature = 'UTIL_EST' if use_util_est else 'NO_UTIL_EST'\n te.target.execute(\"echo {} > /sys/kernel/debug/sched_features\"\\\n .format(feature))\n\n if 'trace' in collect:\n logging.info('#### Setup FTrace')\n te.ftrace.start()\n if 'energy' in collect:\n logging.info('#### Start energy sampling')\n te.emeter.reset()\n\n logging.info('#### Start RTApp execution')\n wload.run(out_dir=te.res_dir)\n\n if 'energy' in collect:\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 if 'trace' in collect:\n logging.info('#### Stop FTrace')\n te.ftrace.stop()\n \n trace_name = 'trace_{}.dat'.format(wload.name)\n trace_file = os.path.join(te.res_dir, trace_name)\n logging.info('#### Save FTrace: %s', trace_file)\n te.ftrace.get_trace(trace_file)\n \n # Reset governor to ondemand\n te.target.cpufreq.set_all_governors('ondemand')\n\n logging.info('#### Save platform description: %s/platform.json', te.res_dir)\n (plt, plt_file) = te.platform_dump(te.res_dir)\n \n platform = te.platform\n \n # Load specified trace\n else:\n results_dir = os.path.join(\n os.environ.get('LISA_HOME'), 'results',\n my_conf['results_dir'])\n trace_file = os.path.join(results_dir,\n 'trace_{}.dat'.format(trace_name))\n logging.info('#### Using trace_file: %s', trace_file)\n \n platform_file = os.path.join(results_dir, 'platform.json')\n with open(platform_file, 'r') as fh:\n platform = json.load(fh)\n \n logging.info('#### Parse trace')\n events_to_parse = my_conf['ftrace']['events']\n trace = Trace(platform, trace_file, events_to_parse)\n \n # Add column with util_max = max(util_avg, util_est.last)\n cpu_df = trace.data_frame.trace_event('sched_load_avg_cpu')\n cpu_df['util_est'] = cpu_df[['util_avg', 'last']].max(axis=1)\n cpu_df.head()\n \n # Add column with util_max = max(util_avg, util_est.ewma, util_est.last)\n tsk_df = trace.data_frame.trace_event('sched_load_avg_task')\n tsk_df['util_est'] = tsk_df[['util_avg', 'ewma', 'last']].max(axis=1)\n tsk_df.head()\n \n return trace_file, trace\n\ndef plot_signals(trace, tasks, cpus,\n additional_signals=[], #'last', 'ewma',\n x_min=0, x_max=None):\n \n trace.setXTimeRange(x_min, x_max)\n \n # Add additional signals\n signals = ['util_avg', 'residencies', 'util_est'] + additional_signals\n \n trace.analysis.tasks.plotTasks(tasks, signals)\n trace.analysis.frequency.plotCPUFrequencies(cpus)\n trace.analysis.frequency.plotCPUFrequencyResidency(cpus, pct=True)\n",
"execution_count": 4,
"outputs": []
},
{
"metadata": {
"run_control": {
"frozen": false,
"read_only": false
}
},
"cell_type": "markdown",
"source": "# Target Connection"
},
{
"metadata": {
"collapsed": true,
"run_control": {
"marked": false,
"read_only": false,
"frozen": false
},
"trusted": true
},
"cell_type": "code",
"source": "# Setup a target configuration\nmy_conf = {\n \n # Define the kind of target platform to use for the experiments\n \"platform\" : 'linux', # 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 \"exclude_modules\" : [\n 'hwmon', # do not load HWMON, we do not need to measure NRG\n ],\n\n # Account to access the remote target\n \"host\" : '10.1.210.46',\n \"username\" : 'root',\n \"password\" : '',\n\n # Comment the following line to force rt-app calibration on your target\n \"rtapp-calib\" : {\n \"0\": 318, \"1\": 124, \"2\": 125, \"3\": 317, \"4\": 319, \"5\": 319\n },\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_idle\",\n \"cpu_frequency\",\n \"sched_load_avg_task\",\n \"sched_load_avg_cpu\",\n# \"sched_load_cfs_rq\",\n# \"sched_load_se\",\n \"sched_switch\",\n \"sched_wakeup\",\n ],\n \"buffsize\" : 10240\n },\n \n \"results_dir\" : \"OSPM_EstimatedUtilization\",\n\n}",
"execution_count": 5,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"read_only": false
},
"trusted": true
},
"cell_type": "code",
"source": "te = TestEnv(my_conf, force_new=True)\ntarget = te.target",
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"text": "03:35:13 INFO : Using base path: /data/Code/lisa\n03:35:13 INFO : Loading custom (inline) target configuration\n03:35:13 INFO : Devlib modules to load: ['bl', 'cpufreq']\n03:35:13 INFO : Connecting linux target:\n03:35:13 INFO : username : root\n03:35:13 INFO : host : 10.1.210.46\n03:35:13 INFO : password : \n03:35:13 INFO : Connection settings:\n03:35:13 INFO : {'username': 'root', 'host': '10.1.210.46', 'password': ''}\n03:35:16 INFO : Initializing target workdir:\n03:35:16 INFO : /root/devlib-target\n03:35:20 INFO : Topology:\n03:35:20 INFO : [[0, 3, 4, 5], [1, 2]]\n03:35:21 INFO : Loading default EM:\n03:35:21 INFO : /data/Code/lisa/libs/utils/platforms/juno.json\n03:35:23 INFO : Enabled tracepoints:\n03:35:23 INFO : cpu_idle\n03:35:23 INFO : cpu_frequency\n03:35:23 INFO : sched_load_avg_task\n03:35:23 INFO : sched_load_avg_cpu\n03:35:23 INFO : sched_switch\n03:35:23 INFO : sched_wakeup\n03:35:23 WARNING : Using configuration provided RTApp calibration\n03:35:23 INFO : Using RT-App calibration values:\n03:35:23 INFO : {\"0\": 318, \"1\": 124, \"2\": 125, \"3\": 317, \"4\": 319, \"5\": 319}\n03:35:23 WARNING : Wipe previous contents of the results folder:\n03:35:23 WARNING : /data/Code/lisa/results/OSPM_EstimatedUtilization\n03:35:23 INFO : HWMON module not enabled\n03:35:23 WARNING : Energy sampling disabled by configuration\n03:35:23 INFO : Set results folder to:\n03:35:23 INFO : /data/Code/lisa/results/OSPM_EstimatedUtilization\n03:35:23 INFO : Experiment results available also in:\n03:35:23 INFO : /data/Code/lisa/results_latest\n",
"name": "stderr"
}
]
},
{
"metadata": {
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "markdown",
"source": "# Periodic (20ms, 100ms) "
},
{
"metadata": {
"collapsed": true,
"run_control": {
"marked": false,
"read_only": false,
"frozen": false
},
"trusted": true
},
"cell_type": "code",
"source": "test_id = 'p20_100'\ntasks = ['task_p20_100']",
"execution_count": 7,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"read_only": false,
"marked": false
},
"trusted": true
},
"cell_type": "code",
"source": "rtapp = RTA(target, test_id, calibration=te.calibration())\nrtapp.conf(\n kind='profile',\n params={\n 'task_p20_100': Periodic(\n period_ms=300, # period\n duty_cycle_pct=60, # duty cycle\n duration_s=5, # duration \n cpus='2' # pinned on CPU2\n ).get(), \n },\n run_dir=target.working_directory\n);",
"execution_count": 8,
"outputs": [
{
"output_type": "stream",
"text": "03:35:23 INFO : Setup new workload p20_100\n03:35:24 INFO : Workload duration defined by longest task\n03:35:24 INFO : Default policy: SCHED_OTHER\n03:35:24 INFO : ------------------------\n03:35:24 INFO : task [task_p20_100], sched: using default policy\n03:35:24 INFO : | calibration CPU: 1\n03:35:24 INFO : | loops count: 1\n03:35:24 INFO : | CPUs affinity: 2\n03:35:24 INFO : + phase_000001: duration 5.000000 [s] (16 loops)\n03:35:24 INFO : | period 300000 [us], duty_cycle 60 %\n03:35:24 INFO : | run_time 180000 [us], sleep_time 120000 [us]\n",
"name": "stderr"
}
]
},
{
"metadata": {
"collapsed": false,
"run_control": {
"marked": false,
"read_only": false,
"frozen": false
},
"trusted": true
},
"cell_type": "code",
"source": "tracefile, trace = run(rtapp, use_util_est=USE_UTIL_EST)\n# tracefile, trace = run(None, use_util_est=USE_UTIL_EST, trace_name=test_id)",
"execution_count": 9,
"outputs": [
{
"output_type": "stream",
"text": "03:35:24 INFO : #### Set [schedutil] CPUFreq governor\n03:35:29 INFO : #### Enable Utilization estimation\n03:35:30 INFO : #### Setup FTrace\n03:35:34 INFO : #### Start RTApp execution\n03:35:34 INFO : Workload execution START:\n03:35:34 INFO : /root/devlib-target/bin/rt-app /root/devlib-target/p20_100_00.json 2>&1\n03:35:39 INFO : #### Stop FTrace\n03:35:40 INFO : #### Save FTrace: /data/Code/lisa/results/OSPM_EstimatedUtilization/trace_p20_100.dat\n03:35:43 INFO : #### Save platform description: /data/Code/lisa/results/OSPM_EstimatedUtilization/platform.json\n03:35:43 INFO : #### Parse trace\n03:35:44 INFO : Platform clusters verified to be Frequency coherent\n",
"name": "stderr"
}
]
},
{
"metadata": {
"scrolled": false,
"collapsed": false,
"run_control": {
"marked": false,
"read_only": false,
"frozen": false
},
"trusted": true
},
"cell_type": "code",
"source": "plot_signals(trace, tasks, cpus=2, additional_signals=[], x_min=0, x_max=None)",
"execution_count": 10,
"outputs": [
{
"output_type": "stream",
"text": "03:35:44 INFO : Plotting 4210: task_p20_100, rt-app...\n03:35:45 WARNING : Event [sched_overutilized] not found, plot DISABLED!\n03:35:45 INFO : CPU02 average frequency: 0.000 GHz\n",
"name": "stderr"
},
{
"output_type": "display_data",
"data": {
"image/png": 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6ft+v17/8oRfBOTe2cKjEH38KRWMYU1fRGlhF79FMstpP2yjat4Nue+bS7Zxv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cU4PQAAAAB0nng3rkby8/OVTCZP/l5fX9+h+6uoqNCLL76oRYsWqbS0VPPmzTt5n3fddZeeeeYZ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\nMG+2Nz7a0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"text/plain": "<matplotlib.figure.Figure at 0x7fc7d1d73b10>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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"text/plain": "<matplotlib.figure.Figure at 0x7fc7d1d73990>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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onFOe0w9FxPtWVP+ADsYRMQg4H9gbGAscGhFj69sqqUOWAsdl5lhgPPDZ8tw9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\nklRp/x/KhnfqsV8gowAAAABJRU5ErkJggg==\n",
"text/plain": "<matplotlib.figure.Figure at 0x7fc80d0b9150>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "trappy.LinePlot(\n trace.ftrace,\n signals=[\n 'sched_load_avg_cpu:util_avg',\n 'sched_load_avg_cpu:last',\n 'sched_load_avg_cpu:util_est',\n ],\n pivot='cpu',\n filters={'cpu': [2]},\n drawstyle='steps-pre',\n scatter=False,\n sync_zoom=True,\n group='Periodic',\n marker = '+').view()",
"execution_count": 11,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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b83yqJNLySLV9O/Duu7ZTBNuyxXaCQH372k4Q2vjxwL59tlNoxd2h1rWr3V7T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\n",
"text/plain": "<matplotlib.figure.Figure at 0x7fc80d4abb90>"
},
"metadata": {}
}
]
},
{
"metadata": {
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "markdown",
"source": "# Ramp (5-25-45ms, 100ms) tasks"
},
{
"metadata": {
"collapsed": true,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "test_id = 'ramp5_60'",
"execution_count": 35,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "rtapp = RTA(target, test_id, calibration=te.calibration())\nrtapp.conf(\n kind='profile',\n params={\n 'ramp5_60': Ramp(\n start_pct=5, # intial load\n end_pct=50, # end load\n delta_pct=20, # load % increase...\n time_s=1, # ... every 1[s]\n cpus='2' # pinned on CPU2\n ).get(), \n },\n run_dir=target.working_directory\n);\ntasks = ['ramp5_60']",
"execution_count": 36,
"outputs": [
{
"output_type": "stream",
"text": "03:42:19 INFO : Setup new workload ramp5_60\n03:42:20 INFO : Workload duration defined by longest task\n03:42:20 INFO : Default policy: SCHED_OTHER\n03:42:20 INFO : ------------------------\n03:42:20 INFO : task [ramp5_60], sched: using default policy\n03:42:20 INFO : | calibration CPU: 1\n03:42:20 INFO : | loops count: 1\n03:42:20 INFO : | CPUs affinity: 2\n03:42:20 INFO : + phase_000001: duration 1.000000 [s] (10 loops)\n03:42:20 INFO : | period 100000 [us], duty_cycle 5 %\n03:42:20 INFO : | run_time 5000 [us], sleep_time 95000 [us]\n03:42:20 INFO : + phase_000002: duration 1.000000 [s] (10 loops)\n03:42:20 INFO : | period 100000 [us], duty_cycle 25 %\n03:42:20 INFO : | run_time 25000 [us], sleep_time 75000 [us]\n03:42:20 INFO : + phase_000003: duration 1.000000 [s] (10 loops)\n03:42:20 INFO : | period 100000 [us], duty_cycle 45 %\n03:42:20 INFO : | run_time 45000 [us], sleep_time 55000 [us]\n",
"name": "stderr"
}
]
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "tracefile, trace = run(rtapp, use_util_est=USE_UTIL_EST)\n# tracefile, trace = run(None, use_util_est=USE_UTIL_EST, trace_name=test_id)",
"execution_count": 37,
"outputs": [
{
"output_type": "stream",
"text": "03:42:20 INFO : #### Set [schedutil] CPUFreq governor\n03:42:25 INFO : #### Enable Utilization estimation\n03:42:26 INFO : #### Setup FTrace\n03:42:30 INFO : #### Start RTApp execution\n03:42:30 INFO : Workload execution START:\n03:42:30 INFO : /root/devlib-target/bin/rt-app /root/devlib-target/ramp5_60_00.json 2>&1\n03:42:34 INFO : #### Stop FTrace\n03:42:34 INFO : #### Save FTrace: /data/Code/lisa/results/OSPM_EstimatedUtilization/trace_ramp5_60.dat\n03:42:37 INFO : #### Save platform description: /data/Code/lisa/results/OSPM_EstimatedUtilization/platform.json\n03:42:37 INFO : #### Parse trace\n03:42:38 INFO : Platform clusters verified to be Frequency coherent\n",
"name": "stderr"
}
]
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "plot_signals(trace, tasks, cpus=2, additional_signals=[], x_min=0, x_max=None)",
"execution_count": 38,
"outputs": [
{
"output_type": "stream",
"text": "03:42:38 INFO : Plotting 4578: ramp5_60, rt-app...\n03:42:39 WARNING : Event [sched_overutilized] not found, plot DISABLED!\n03:42:39 INFO : CPU02 average frequency: 0.000 GHz\n",
"name": "stderr"
},
{
"output_type": "display_data",
"data": {
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xfXeSP51jGu/jk5RZtc51LGaO5H813XlQSnlCKWVbN7387gz+gPS4ObZPBuf9U5N8vAym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\nAIBcI3EFAAAAAOQaiSsAAAAAINdIXAEAAAAAuUbiCgAAAAD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"text/plain": "<matplotlib.figure.Figure at 0x7fc7d0c51e50>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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"text/plain": "<matplotlib.figure.Figure at 0x7fc7d0c51150>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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UmSOB0cCny3P3VOCuzBwO3FW+l3qDE4HZNe/PAc7PzHpgMTClR1oltd23gdsy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\n",
"text/plain": "<matplotlib.figure.Figure at 0x7fc80d0ccf10>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "trappy.LinePlot(\n trace.ftrace,\n signals=[\n 'sched_load_avg_cpu:util_avg',\n 'sched_load_avg_cpu:last',\n 'sched_load_avg_cpu:util_est',\n ],\n pivot='cpu',\n filters={'cpu': [2]},\n drawstyle='steps-pre',\n scatter=False,\n sync_zoom=True,\n group='Periodic',\n marker = '+').view()",
"execution_count": 39,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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36msAAPhhyaEz3DUQSmBzcuzy5k3ukj4nQ7lDMQwYYJcvGeT/etfbtkunntrw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QWgSUkTLrnn2Cg94i0AXHLP5CjFq+rmWm99orxnOtomnTybrbu9FWXn+TTO9tF02oiQdU7GXswq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\nV3YGAADAj0NxcbE8PVkaC+7l/wHIAdlzOTfIzgAAAABJRU5ErkJggg==\n",
"text/plain": "<matplotlib.figure.Figure at 0x7fc80c56eb10>"
},
"metadata": {}
}
]
},
{
"metadata": {
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "markdown",
"source": "# Two tasks (50%) on same CPU with long period (400ms)"
},
{
"metadata": {
"collapsed": true,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "test_id = 'two_tasks'",
"execution_count": 17,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "rtapp = RTA(target, test_id, calibration=te.calibration())\nrtapp.conf(\n kind='profile',\n params={\n 'p50_400': Periodic(\n period_ms=400, # period\n duty_cycle_pct=50, # duty cycle\n duration_s=5, # duration \n cpus=[2]\n ).get(),\n 'p20_400': Periodic(\n period_ms=400, # period\n duty_cycle_pct=20, # duty cycle\n duration_s=5, # duration \n delay_s=0.35,\n cpus=[2]\n ).get(),\n },\n run_dir=target.working_directory\n);\ntasks = ['p50_400', 'p20_400']",
"execution_count": 18,
"outputs": [
{
"output_type": "stream",
"text": "03:36:06 INFO : Setup new workload two_tasks\n03:36:07 INFO : Workload duration defined by longest task\n03:36:07 INFO : Default policy: SCHED_OTHER\n03:36:07 INFO : ------------------------\n03:36:07 INFO : task [p20_400], sched: using default policy\n03:36:07 INFO : | start delay: 0.350000 [s]\n03:36:07 INFO : | calibration CPU: 1\n03:36:07 INFO : | loops count: 1\n03:36:07 INFO : | CPUs affinity: [2]\n03:36:07 INFO : + phase_000001: duration 5.000000 [s] (12 loops)\n03:36:07 INFO : | period 400000 [us], duty_cycle 20 %\n03:36:07 INFO : | run_time 80000 [us], sleep_time 320000 [us]\n03:36:07 INFO : ------------------------\n03:36:07 INFO : task [p50_400], sched: using default policy\n03:36:07 INFO : | calibration CPU: 1\n03:36:07 INFO : | loops count: 1\n03:36:07 INFO : | CPUs affinity: [2]\n03:36:07 INFO : + phase_000001: duration 5.000000 [s] (12 loops)\n03:36:07 INFO : | period 400000 [us], duty_cycle 50 %\n03:36:07 INFO : | run_time 200000 [us], sleep_time 200000 [us]\n",
"name": "stderr"
}
]
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "tracefile, trace = run(rtapp, use_util_est=USE_UTIL_EST)\n# tracefile, trace = run(None, use_util_est=USE_UTIL_EST, trace_name=test_id)",
"execution_count": 19,
"outputs": [
{
"output_type": "stream",
"text": "03:36:07 INFO : #### Set [schedutil] CPUFreq governor\n03:36:12 INFO : #### Enable Utilization estimation\n03:36:12 INFO : #### Setup FTrace\n03:36:17 INFO : #### Start RTApp execution\n03:36:17 INFO : Workload execution START:\n03:36:17 INFO : /root/devlib-target/bin/rt-app /root/devlib-target/two_tasks_00.json 2>&1\n03:36:23 INFO : #### Stop FTrace\n03:36:24 INFO : #### Save FTrace: /data/Code/lisa/results/OSPM_EstimatedUtilization/trace_two_tasks.dat\n03:36:26 INFO : #### Save platform description: /data/Code/lisa/results/OSPM_EstimatedUtilization/platform.json\n03:36:26 INFO : #### Parse trace\n03:36:28 INFO : Platform clusters verified to be Frequency coherent\n",
"name": "stderr"
}
]
},
{
"metadata": {
"scrolled": false,
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "plot_signals(trace, tasks, cpus=2, additional_signals=[], x_min=0, x_max=None)",
"execution_count": 20,
"outputs": [
{
"output_type": "stream",
"text": "03:36:28 INFO : Plotting 4352: p50_400, rt-app...\n03:36:28 INFO : Plotting 4351: p20_400, rt-app...\n03:36:29 WARNING : Event [sched_overutilized] not found, plot DISABLED!\n03:36:29 INFO : CPU02 average frequency: 0.000 GHz\n",
"name": "stderr"
},
{
"output_type": "display_data",
"data": {
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3O0/nfz84gRunXZBu5LQVz55L4fx4HRMNQMM7h5SPerD1YfqjAN58+20P1Z3N\nl+uuy0isVNxdWEvPLsamC+5k/4rUJyUrqd3LtK0Pct20QlYPyN4w76lbH+TsNd9/6/oxQ2LVV/82\nLw+9nElbH+Xo3ak//n3YT+meffwmP8wcFpdj9C4pCrJvEek4Klylw1Us+Rsn1ywKHSOcra/Cvf9y\n6PqIeB4vxL6NoRO0S7eefVpf6XC6+nNw9iguhC6FGUzUirpqcA7MyD/6bAZcfG9627nrvczIy2fB\nFZk5RrDNJ0T/y59h9TJ6X30X/Pkz9D7l36F3v9R2ZlUAdC3Ip2s2H/tGMZvI6x3O/C/qX3+QLf1O\npXTg6a2uvnnzJoYNG/7W9UlLb+GsXgX8/NQTOjLlYR3zYi96OaP4tPdBGscpsnM53P4g750yGKZk\n8ZCU2YXQ5CwyJcXx/Zh16rU/AVKYkK+p26Zy0YjBXPThLB6b/PLPYc6tULUPqIF+ms1ZpLOJ7yuq\nxEqFK6bE/Hntegwazb69tYETZVFt5duvV8VspsKZ/wP7N8OoM0MnSY6yjXDbsYeu9xkZLkt7de0D\nl/4hdIq2a2iAnW9CfQ0c2BY6TftM/hD5532DEUBbxkscmD2bE5t+KbHhN5T07MKFU4d0UMAjWFwM\nFTH+4uCS+2H10zBWk0plzca5cLD00PV9m8JlEZEOocJVsqLGCim5aSd1tTWMLSxi8+zZoSNl36UP\n+oJkbHZn1m23/EL4wE9Dp0iW8tK3Xz/M0E/pIMv+Ag9fETqFxN3498DENHqKpX0GTIKzvuSP8Z56\nceg0IpJhKlwlqwoKE3zMSVE3OPna0CmSob4OKvdCzYHQSdrn0gf8383AyaGTJEfjiIiTroH5v4aC\nLM+EnXR3XwibX/E93oWBzn2bRLWVMO+XUFMB1TEbFdTcsR/1PyLS6ahwFZHO54FLYVWTiYDyYvpS\nZ/kwOvuz6Qpwxhfg3K/FeFrYGDq4CzbMOXR9gnoss2bTPHj6Jn/Z8mDAxKBxREQOJ6af5kREjmD/\nNhh4DEy/EnoeBV2yfxqbxDq4C359jp8gpbBb6DTt07V36ATJ0lDv2wt/BCddFTZL0jQ+9p/+J4w4\nOWwWEZEWqHAVkc6pzyiYcU3oFMnz/aN9m18MZ10fNkvS1FbCLWOgtsJftxhPbiQiItKMClcReafd\na+DvXwydQuKqxxD4r+WhUyRLbRX83+BD18+7EQZOCpcnieqqYd3zoVOIiHRaKlylQ829/RpO2fUI\nB1zX0FEYKuqpAAAgAElEQVTC2bksdILUVO2DnzY5b+PI08JlkRgyOP5fQ4dInj1rfZtXAF/d7mcD\nl+yp2g/fjc6Bm1+kY6ODcNGPiHRWKlylw8x7+IecsvMhAN6Y8BlOCZwn6xrq4dZjDp0LsvugsHna\nqvH8oePeDRf/HgoSPBO0SNx85DcqWkN4tMlhCZ9bqMI12xY9CMseg75Hh04iIh1Ihat0iKrKg5z8\nxs0AbLpsDqeMPTZwogDm/uJQ0XrZozBgfNg8bVXQBfIq4JMPhU6STLVVb/8QLNm1Z03oBBJH2xb5\n9qs7oFCnUMqqsk3wp+hUc9OvDJtFRDqUZm6QDrH4778CYEnxCQxPYtFaWwX//Kq//PnXYOx5YfOk\nwvJh2iWhUyTXL884VDwNTuD/Tkjbl8KLP/aXi3QOUUlBXiFM+4SK1hDufq9vz/oynPa5sFlEpEOp\nx1U6REONn9XyqKt+HzhJIBW7fTtmJvQdEzKJxMmyv8HuVf7y9WugW/+weZLEOfjVmf7yuV+Drn3C\n5kmilU+ETpBcNQdDJ0hPzUHYt8lfPud/wmYRkQ6nHlfpUPlJPz7ymA+HTpA8G16GHUuI5SQdq/7p\n26ufVdGabRvngmvwl8/8UtgsSVReCo/9h7+skQbZVbkXHoomVCuM2USKjeeffdfNOq5YJAFUuIpI\n51FXA3e/x18efnLYLOmwPOg2EIadGDpJ8jz7v7795B/1ATiEez7o29M+B8NnhM2SNH+PvqgZODm+\nXxpYfugEIpIFKlxFpPOY/W3fDpwMZ/xn2CxJVLqCWPZ0A9RX+3b02WFzJFF9Lex8w19+17fCZkma\numpY+kd/+aqn9KWNiOQ0Fa4i0jk4By/9zF++7JGwWZLqNxf4duhxYXOkxWDMOTr9UwgL7vbt+Tep\ncMq2NbN8O/J0KO4eNouISCtUuIpI51C6HBpqof8E6Dk0dJrkWTsbqsr8cOcJ7wudJnlevM23FsO3\n9Seu9+30q8LmSKLX7vXtuV8Pm0NEpA00q7CIHNJQDwe2hk6RnmWP+VYzS4bx5Nd8e8Xj6jXLtsq9\nsPhBf3n0WWGzpCOvELoNgC49QydJT0M97NsYOkV68ougpD+MPDV0EhGRVsXwq1kR6TDL/+5bF8Pj\nFLcv9m0sh6l2Age2+XbYSWFzJNGrUa/ZjOuga++wWdKRXwRTYjwD+8onfevqw+ZIl079JCIxocJV\nOkSvdY+HjhBW42k14uYf/+3b0z8fNkdaDAZMgj6jQgdJng0vQcUuOP4yyNdAnqxy7tCMyKd9LmyW\npHoyet08LY6vmyIi8aHCVTKuprqKSbV+hsiS7jEd+tVeL0eTBBV0CZsjFfu3wv7N/nL/8WGzSLzs\nWefbyR8KmyOJKvf6GZG79ILew0OnSZ4D22Hven950DFBoyTSpnmhE4hIFqlwlYxb/NQ9AMzr9yEK\ni4oDpwmgvg7m/dJfnvyBsFlSsXm+b8+6XscohlBfBwvv9hNMxZW+8Mi+fZt8e87XwuZIqi0LfXv6\nf+h1M4Snb/LtyNOCxhCR7FDhKhlXtNRPEjLswi8HThJI9X7fDp4KhV3DZknFrOgcqFM+GjZHUlWV\n+VZDncPYH9NJyRY94Ntew8LmSKpZ3/HtsR8PmyOJGhpgx1J/+agTwmYRkaxQ4SoZN7BqAwD9Bo8M\nnCSQxt7W6VeGzZGqgqh3XL1mYcz9hW9PvCJojETavsQPk6+tDJ0kDeYnN5qoUxBlXUMD7FjiLw+c\nHDZLEr01SiihX5KLJJAKV8motUvnMZhSFvQ8ny4lCT2ZeVXU4zrt0rA5UrFnHWxbBGPfBXl6WQji\njUd9O/XisDmSaM0s307/dNgc6cpP4CEZuWDLAt+OOFWvmyGseca3R58bNoeIZI1eaSWj9m7w3z67\nUTE8l2AmNDTAvKjnLE7DhPes9e3wk8PmSKr62kPPQZz+bjqLxtOZDJseNofES/lO3551fdgc6Wqo\n91+YxXUW/Oe+59vhM8LmEJGs0XkLJKNqt70JwMDJZwZOEkjjB4CRZ4TNka7RCf3CIbT1L/j2XE2w\nk3VV+2DDHDjqROh3dOg0ybP1Nag9GDpFeubc6tuSvmFzpKtso28LYtpjb/kwcBLk5YdOIiJZoh5X\nyahhW/4OQLfe/QMnCWT533x79MygMRLHOVj2V8CFTpKejdEpHcZdEDZHEu1e41tNihVG49/+yNPD\n5khHUTcoLIEhx4VOkp7S5b6N4/ln1zwLrh6OPid0EhHJIhWuklG11oU3C6fQf/CI0FHCKF3h2ykf\nCZsjaRqH2dZVh82RrjI/oRlDpoXNkUSrnvKtZoUN47V7fTvilLA50jV4anxPg7PsMd/2HRM2Rzp2\nRkX3pA+GzSEiWaXCVTLKAdWFvULHCK/3qNAJkqVxYqNzvho2R7oW3R86QfvMvT10gvRtX+zbgZPC\n5kiqxtMQddH7RtatfwG6D4IRMZ7boP+40AlEJIt0jKuIxN/uqMc1ziehn/yh0AnSVxMdoxjHc4lW\n7vWnMumT0NN3hVReCpV74MQrdZxitlXu9ce45heFTiIi0mbqcRWR+NuxFHoOg15HhU6Suh1v+DaO\nw/XA95jtXQdTPhq/4qN8J2x4EWorQidJX+kyaKgNnSI9q6LZnHsMCZsjiSr3+vb8m0KmEBFJiXpc\nRSTeKvb44Z5FMT1v8OroXIRxPRXLpld8G8cZeSvLfDvlo2FzpKu+1k9SE1eNs7Af94mwOZLolTt9\nW5LQiRRFJJbU4yoi8dY4IdPp/xk2R3uNPjt0gvQ09lbGeahzXI9vbaj37YzrwuZI19Pf9G3ceuo7\ng8YvDY79WNgcIiIpUOEqIrB/S+gE6Vs727fd1HMQxOzv+LawS9gcSbQpOpVMj8Fhc6SrqBsUdNFQ\n4RC2LfKn8snTx0ARiQ8NFRYRWHCXb+M4s+eWBb4dcWrYHEnVpRd07RvfY3TjbP0Lvo1rb31DHUz6\nQHxPJxNXddWw8aXQKUREUqav2kQECrtBn1EwcGLoJGkwXzjFMnvMVZbB9iUwPMan04iz8h2+HXZi\n2Bzp2DjPj/SI68RS4GflxYVOkbrGIeanfT5sDhGRFKlwlYzZsXkNYxrWE8s38iSr2AMb5kDPGM7I\nC7D5lUMfxCS7Nke93d36hc2RVK/eEzpB+hoPT4jrxFi7VvnZtGtiOCN11T7fluj/VkTiRYWrZMz2\nlfMBqOqd4BOCz/526ASp27XKt71jeB7Lmgp/rFb1vtBJku2EK0InSK4J7wudoH36jQ2dID1V+317\n0lVhc6Rj4W99G+fCddb/+VbDzEUSRYWrZFy/6R8JHSGsHkPjOeHFsTHs+Wio8+3ZN4TNkVSN54KU\nMCwfBk4OnSKZVj/l2ziOVGl83Tz+srA52iOvwB/iEsd5GUQkbZqcSTLGLfht6AhhNX4DP/XjYXOk\natH9oRO0X3GP0AmS6aUf+7aoW9gcSbRxHrh6dGhGINsW+XbAhLA50mX58e6tzCuAKQn/klwkgWLY\nLSS5qktNGQDDxh8XOEkgix7wbZeeYXOkav9W3w49PmwOiZ+i7n64YVzPg9p4Lss42viyb48+L2yO\nxDIYdCz0ieEhFnG3/kWo2BV9cSMiSaLCVTLHjCXFx1PSPaFDd+prfHvS1WFzpGPIcVDSN3SKZFp4\nd+gE7WB+qGpce25evM23BcVhc7SHvnAKY8dS1NsdyO7Vvp30gbA5RCTrVLhKRtTV1jCx9s3QMXJE\njD7EOxcdq6UPYMGU7/RtYUnYHKlqqI//uSBd9Hc/9l1hc6Rjw4uhEyRX2UYo23Do8BAJY4BOgSaS\nNCpcJSNWv/YcAPlxPidfe/3za761GP1b7Vrph0tWl4dOklx5BTDjuvhN6LX1Nd/WVYfN0V69R0Jh\nl9ApUrdmlm/zi8LmSKLGU+CcrvOgBrHssdAJRCSQmH1SklxVX+cL1oazvhw4SUDFPaH7ICjuHjpJ\n29VHXzSc9/WwOZKqrhqqykKnSE/j387MmM7oXF8Hix841OsaNwXFcOKVkK85FoOJ8+lk4mxnNLpL\nh7eIJI4KV8msuPUaZVJefnyPubH80AmSaemjvs2LcfERpxEGTZXv8G1cT6dh+VAQw57izmD3qtAJ\nki2vAKZeAoVdQycRkSyL6ScOyTX7l/4jdISwnIPKPaFTpG5DzI9RjLvaaMjhqf8vbI4km3FN6ATJ\nFOfhnksf8W2vYWFzJJFzsG9z6BQiEogKV8mI7rsXA9B/RExPi9Feb/45dIL0NE7wEtdzEXYWeYWh\nE4hkV+ly3/YcEjZHOvIKoecwGD4jdJLkWfOMPw1OkufTEEkwFa6SEc7yWFEwkcHDx4aOEkZldJxi\n3E6FY3nQb1x8C9fGXpu4no5lzbOhEyTXkod8G9e/nbizfJhwYXyHaufH+MumFY/H9xyob73XaqSE\nSBKpcBXJpLh+CIurXSt9O+n9YXOka+Nc33bpGTZHEpVt8u24C8LmkPjZu87Pxh5XOzvBqes0MZZI\nIqlwlXZzDQ1MrHwdnQs0htbPifcHMID8Yug9InSK9BQUw3Gf1CQjoZT0hx6DQ6dInn2bYccSYvme\nUbEHNs+H6gOhk7TPWdeHTiAikjIVrtJu65cvpMjqKW6oCB0lnFnf9m2cZljdvxUO7ozv6VgAaitj\nfqyTRT+SdTUH4ztcMu52RD1+A2M4J0LNQd/GelKvGL/uPP9938bpvVZEMkb/+dJudTVVAOyZ8aXA\nSQLKL/LHbHUfGDpJ29VV+/bcmJ7D1Tl45Vfx7TFuqIf9mh0ziLpqfw7XuprQSZJtwoWhE6Sv1/DQ\nCdKz4w1i2dPdqLFg7TsmbA4RCUKFq2RMXkFx6AjhWB5MvTieE73E9VyQLvrwNWZmyBTpWxmdQkq9\nftlXW+nb8Tq+VRJm5ZO+HTY9bI60GUy8KNnnjBdJMP3ni0i8jTgtdIL0VJf79tTPhM2RrsZTKcXZ\nsJiezmT/NqjeFzpF+tbOCp1ARp8dOoGISMpUuIqIhFRYEjpBehoL1z4jw+ZIohV/921cJyXbPN+3\nvYaFzSEiIrGiwlWkvXa8Afs2EuvjhuLoYGnoBMlm+TD0BB1rFkLjMPljPxY2R7os3/f49RgUOkny\nxHVOAIA9a2HnG6FTiEhAKlxF2qtxhsyRMR2yGlev3+fbnkPD5khXTcxPpxFnr//Bt3n5YXOIZNuz\n3/JtHOdjKI3O233UiWFziEgwKlxFMiWux1rGVUM0qdG0S8PmSNfs7/o2judwdS4a7hnTUQYHtvl2\nykfC5hDJtoIu0GeUP4d0XI2ZGTqBiASiwlVEJISufaDnsHj2GO9e7c//W7U/dJL0FXSFbv1Dp0jP\nc7f4No69ZvW1sGlu6BTJlVcY79MQiUiiqXAVEQnC4ntKisbTyZz9lbA5kqqxYC3pFzZHOrYs9G2c\nj7UUEZEgVLiKSDy99JPQCaSoW+gEyWT5cPy/xrPHtXGI/1lfCptDRERipyB0AIk/16BvziWAmoN+\n2Fu+XsYkBc7pS4+cEMOiG2DR/b6N45cG6573k8Kpt1tEYiqne1x7rFzp3xwWRkOLrr3WX7/2Wn99\n4UJ/vekbyIkn+ut33OGv33GHv35ik1noGu+j7WZku+NPnAl3lJNXUNTm7c4855zs5v3j0/76PQ90\nzOOwsAYGjOu45+1rT2V+u/3GwB3lHZL3xMb7AHTtBd/cD8s3tv9xaPr43rQXbtzd8f8X377H5//8\nlzK73fvXw8X3dPz/8fp9cOXfM7bd8T/4gb++tR4mvz87/8eX3Zi57eZFb3sDJ3f8685fX/LX77wr\ns9udW9YheYc89tjbt/ud1zOTt+njO/qMDnvdedvjMGiS/799Y01mtzvzK3675YMyu93mj8OP/uJf\n4zK03e4rVsDO5fBYJbzvex3/urOpEj5yR+a3u7Uehp2Yldedif9+Q8e+Pmi72q62S6pyunCVeJlw\nyntDR5B0DJkWOoHEzZKHQydov2M+HDpB+qrKiO2Mzp1FSd/QCUREksc5l7M/48ePd5L7Ft5yoVv7\nzWNTus+sWbM6JkxLFj3k3I09nStdFa9tN/r9x5z75VmZ3eafP+PcDyZmdpuRtz2/lfv84/PiTzO7\nk28Ncu7Jr2V2m4fzyp0+//7tmd3uT09y7sFPZXabh/Ob9zh394UZ29ysWbN87ht7OndgR8a2e1hl\nm/1+Fvw2c9usq/XbnH1L5rbZkhdu9fuqPpi5bb72B7/Nhb/L3DYj73hdvv105/5waWZ3ct/FPv/a\n5zO73eZ2LPP7WfJIZrf71/9w7paxmd3m4Tx9s3M39cnY5mbNmuXc3F/5x6R8V8a226Jbj3XukWsz\nu83lT/j8mxdmdrvNrF74rHM39nQLnn6wQ/eTKVn/PCVZk6TnFljg2lAbqsdVRERS138CdB8YOkVy\njTozdIL01Nf4Nq4zaouISDAqXKXdDIdp2Jpk08a5UFeJhkuKxNBR06Gwa+gU6Vn9DDTUhU6RJr1e\niki8qXCVdtm3ewfHH5xDvovrG3kG1JS3vk4uOrgLXH3oFOnZ8qpvx74rbA4RSY6q/bBvI1TuDZ0k\nPU99w7d5Mf3oV1cZOoGIBNauVy8z+4KZvWFmS83sfjPrYmajzWyema02swfNrChatzi6vjpaPioT\nv4CEtW/3NgC29TmxlTU7sdnf9W1Bcdgcqaguh5VPQG3MPwhoYqkwtr6Kem8C2bM2dILkauxpveBb\nYXOkq7gHdO3jf+Ko8b02rr31ItJuaReuZnYU8HlgunNuCpAPXAJ8D7jVOTcW2AtcFd3lKmBvdPut\n0XrSSeSNOSt0hHC69obug6H38NBJ2q6xYD32o2FzJFVNBexaETpFWoqqd0NZjHud4u7Ve3xb3CNs\njnTV1xD7Lz3yCkMnSI/lw6QPhE6RvuIeUFgCAyaGTiIigbR3vEgB0NXMCoASYBtwLvDHaPnvgA9F\nlz8YXSdafp5ZGifwEck5BsNnhA6RnoGTQydIpnXP+za/KGyONOQ3Tq5z9lfCBkmqom4w/GTo1j90\nktTt3wrrXzg0QZNISsz/7eujo0hipV24Oue2AD8ANuIL1n3AQqDMubcOeNwMHBVdPgrYFN23Llq/\nX7r7FxGJrcYhh6d9LmyO9ijuGTpBMlke9Dyq9fVyUflO3457d9gcIiISSwXp3tHM+uB7UUcDZcDD\nwHvaG8jMrgWuBRgwYACzZ89u7yalA5WXbmQEsGXzFspTeK7Ky8uz+twO3PEmk4F5r8yjsmRzRrd9\n0sGDVLhS3ujA3+fY3bspqjnAwgzto7CmjNOBlatWsbUiM9tsqunzm19XwZnA6jVr2FyTmX2d8cLN\nFAAvvPgi9QXdMrLNlgzdspLxwEsvvURNcWaODetfupQpwIIFCyjvsScj22zJcfvKcJbPogz97TRU\nHARg2bJl7NibmW22pLhqF6cCK1asYNuBzOzLGuo5G1i3bh0bXGa22ZLhG9dyNPD8Cy/QkJ+ZY+Bn\nVFRQvnMnb3bA603z1+Xp5eVU1e1iaYb21f3AGqYDS/YWsbuDX/9LDm5kBvDGm29SuqtvRrY5dMsT\njAdWrV7NlqrZGdlmS0Zv2MAI53guQ49TeXk51TXV7N62jZVZeO89uaqKfTu2szyD+zp+/z7q82tY\n3MH5D25bxtHAhvUbOBCDz6DZ/jwl2aPn9p3SLlyB84F1zrlSADN7FDgd6G1mBVGv6jBgS7T+FmA4\nsDkaWtwL2N18o865O4A7ACZMmOBmzpzZjojS0V758ScAGD5yFCek8FzNnj2brD63i0thGZw842To\nPzZz23UOnt9Gt5HHdezvs+V2KK/L3D7KNsFLMH7cOMbPyNA2m3jb81u1H+bA2KOPZuxpGdrX3GLI\nM848/8LMbO9I5q+BVXDaaadBj0GZ2eaycngDpk+fDkOmZmabLVnbG/LyM/a3M+9xPyHbpEmTmDQt\nM9ts0b4tMBcmTJjAhBMztK/6OngeRo8ezeizM7TNlsx5HdbCWWeeCUUlmdnmkhJKBg5kYAe83rzj\ndXlZd7r37p+5152tvWEhHDvlWJiYoW22ZOdymA/HTJ4MUzK0ryefglUw7v3/ybhewzKzzZbUvwCb\nLGOP/ezZsykuKmbokCEMzcZ77+td6DpoMIMztS/nYF4p9J/W4Z8d1rzqYAWMHDWSE2PwGTTrn6ck\na/TcvlN7jnHdCJxiZiXRsarnAW8Cs4DGGV8uB/4SXf5rdJ1o+bPOuZjP0CAWDXmcdFZCJ/lZPwca\nauN3zNa8X/q2qHvYHOnKK4Bpl4ZOIXG0YU7oBBJnhd2go4tWeadti6ByD9RWhE4iIgG15xjXefhJ\nll4FlkTbugP4CvBFM1uNP4b1N9FdfgP0i27/InBDO3JLDtlqA+naLaYzXLZX9QHfnvLvYXOkqiE6\nf6tmFQ5j3XOhE6RtyLZ/+gsW03NBbpzn23ExPAfw9qWwe9WhY6RFkiKu77UiklHtGSqMc+5G4MZm\nN68F3jHFqnOuCvhYe/YnkrO69A6dIHXFvSA/pqd1iLuNc33bY0jYHGkorN3nL4w9L2yQ9hrcwUO0\nO0LjOVzHXRA2h0goJTGcTVtEMiamX5mLiMRYXgGMfRd0HxA6SXp6DoOSzEx4I2kYenzoBCIiIlmn\nwlVERESkNZVlfk4DEREJol1DhUX6H1hOnubYEhGRzqyhHl7/fegUIiKJpsJV0la2azujGzZw0HUJ\nHSWcLQtDJ0jPqn+q50CSyTWETiBx1Dih3cSLwuZIU35dBZRvDx0jfTuWhk4gIjlAQ4UlbTXVlQAs\nHnN14CQBrXrSt90Hhs2Ritoq2LNGpxWQZHruu6ETSJzF9Pji/rte8ReKY3oGgGWP+bbH4LA5RCQo\nFa7Sbvnd+oWOEE5+EYw6E3oODZ2k7Rp7nM77RtgcSVVeCltfBTTEPpgBkyAvhm9/r90bOoHElLmo\nx3jGtWGDpCu/CIZMg/7jQicRkYBi+M4tkkvMv6HGkeWHTpBMjUPe+o4JmyOp8oth/LtDp0hP+Q7f\nxvZvR1/WSDvkF4dOICKBqXAVEQnhmA+HTiCxYzDu3VBUEjpIeubc5ludP1pERNKgwlVEREQ6XuNh\nCqPODJtDRERiSYWrpM1pdk4JYcPLULFLs8OKxNGASVAYw5nol0eTA5k+NomIhKJXYEnbur/9EAAr\niOkxnu3lHJSuCJ0ieXat9O3EC8PmkPipr4X66tApJI5Ko9edKR8JmyNNg3bMCh2hfUpXoGOkRUSF\nq6TN6vzpcCafd1ngJIFsfRVqDkBtZegkqVkb8w8wjQZODp1A4ub1+3wb1wnVJLw+I0MnSEuXqlJ/\nofugsEHSsWsVHNgK1eWhk4hIYCpcpV320pNuPXqHjhFG45voaZ8NmyNVW1/z7fj3hM2RVPW1oROk\nzzkG7ZgNjafWiJvG/9m4nhJEJE3O8mDKR+M5TLv6gG/j9l4rIhmnwlWkvbrEsHC3PBg4MXSKZHru\nu76N4xD7g6Xkufp4F98ABTqthkjslPQPnUBEAlPhKiKSTYXRqUyGHB82RzpcdIzZOf8TNofET3U5\nLPurJlUTEZG0qXAVEcm2EadBnl5+JUEObPdtv6PD5hARkdjSJycRiZfdq0InEJF0HfPh0AlERCSm\nVLhK2qyhFkPDviTLXotmhi3qFjaHiCRH47HpMZXXEPPj0kVEgILQASSeaqqrmLHnMSpcgic5qdHU\n/EEUdYfBU6BrDCfFkrAOloZOIHHWfXDoBOnZNJ8u1aUQ1+I1y6ec69G1EID+3RP8+UYkR6nHVdJS\nVXkQgJUlMZxgJlNe+JFvC7uGzZE0ZtBjaOgUEkcv3ubb/MKwOdLRUA/bXg+dIrnyCuG4T4ROkZ79\nW3w75aNhc6Rrzq2+zdJ77cCoYB3ZV6N6RHKNelylXaqGnR46QjhF3aCgKwxNcPEuqas5GN/TsSx5\n2LdmYXOkq7gXDJoczy+bNs71bV1V2BwSX/3Ghk6QnsbXy1FnhM0hIsGpx1WkPYZMi++HeMm+Petg\n66vxLT7KNvp2wvvC5khXXj4MmhI6RXoa/2bO/nLYHCIhDDzG//+KSKKpcBURyZaDu3x7zL+EzdEO\ntQXdoUdMj/XrDPJiOMwZDg1XFRERSZMKVxGRbBt4TOgEItn12r2+7T4gbA4REYktFa4iIiLSsfIK\n/THGY2aGTiIiIjGlwlUkaZzzP3FUugLKNgAxzS+SZF16hU4gIiIxplmFRZLmhR+ETpC+HUt9O3xG\n2BwiInGR5fOgioh0FPW4iiRRXGdWbTTqzNAJJG7qqqFyT+gUItk3+zu+jetpuEREIipcRZLG8mDC\ne0OnkDha+Q/M1YVOkZ43/uzbuJ5S45U7QieQuOrS088G3ndM6CQiIu2iwlVERFpXUwFlGyioj+k5\naGsrfHvqZ8LmSFd1uW+HTA2bQ2LI2Ndrks45LiKxp8JVRCRblj4SOkH6XAMAa8Z8KnCQdorreVAB\nRp4BhV1DpxAREQlChauISLbsXe/bWPea6W1D0vDmX9768kNERCQdmlVYRCSbBk+F7gNDpxDJnvKd\nUHsQ8mP6kaO+DhpqQ6cQEUk8fXUuaTmwZ3voCCIiEgcN9b49/6aQKdL32r2+zS8Km0NEJOFUuEpa\nNj79SwAKeg4KnCSQ+lpY9xzgQidJljXPhk4gImmL6eRA1Qd8e9LVYXMkUUMDLP8beq8VEVDhKumK\njlWa/v7rAgcJZPsS31rM/oV2vBnv48w2zfethtqKSLZpYqzs27PWt/Uaqi0iKlylHapcjGfnbC8X\nfft7xhfD5kjVqid9e9T0sDnSlV8IEy+Crn1CJxERyX1lm2D74tAp0tf4RevMG8LmEJGcoMJVJInG\nnB06gYikomJX6AQSR6UrACjvPjpwEBGR9lPhKiIirdv8SugEybVrFZQuh9qK0Ekkpvb0jekoGxGR\nJlS4iohI69Y9D0BZ72MCB0mgij2+Pf6TYXOIiIgEpMJVRETawCCvkAM9x4cOklx9NNxTRESSS4Wr\niKeZKQQAACAASURBVIiIdJzKvaETiIhIJ6DCVURERDrOgt/4Nq6zga9+OnQCERFBhaukafK2P1FI\nXegYIiJto1l5AzLfTP5g2Bjp2jTPtwVdwuYQEUk4Fa6Ssvq6OnpxENf4YSSJlv4xdILkqa+FHUtD\np5C4euFW3xYUh82RVF37gsX0PaOgGE66BvILQidJnmV/DZ1ARHKICldJ2/xR14aOEE7ZRt8OPT5s\njlQ9/c3oQgw/QK6f49v62rA5JJ669oFBx0JJ39BJJHYMTB+Xgti1yrfDTw6bQ0Rygl6JRdI1aAp0\nHxA6RWoKukBJfyiM4ZC3+hrfnvWlsDnSVVcDK58AXOgkyWR5MPjY0ClEsqtyT+gE7dd7JPQeHjqF\niOQAFa4iSZJfCFM/HjpF++Tlh06Qnj1rfFvcM2wOEUmOl34CQF1B18BBRETaT4WriEg2zbgmdIL0\nVB+ABg3TDuLln/pWw1UlVUXdodsAKkrUYyki8ad3QRERad38X4dOkFx10TB5HecnKTMYMDG+E2OJ\niDShwlVERNpmzDmhEyTXkOOgqCR0ChERkWBUuIqISNsMnxE6gYiIiCSUClcRERERERHJaSpcRURE\nRA5n0ytQVQauIXQSEZHEU+EqKXv1b78EwCympyXJhLIN4HQ+TpFYOLAD9m0MnULiaPsS3467IGyO\npNq3We+1IvIWFa6Ssrq9mwA4+oJrAycJZP9W/2Gm5kDoJCLSFuue922vYWFzSHwNmRY6QfJU7oUN\nc/ReKyJvUeEqaes7MKEfAqujN9Hpnw6bI1XrXoDq/RryJsk19eLQCUSkrWoqfHvC5WFziEjOUOEq\nkq7eI0InSE3pct9OvChsjqRa+1zoBCIi8dN3TOgEIpIjVLiKJM3ASaETJNPm+b4dNCVsDpFsWz8H\nGupDpxARkZhT4Soikg1mvueg/7jQSSROGuph1ZNATCeoqamA0mVQvS90EhERiTkVriIicmTbl4ZO\nkFylK3wb15lVG+p8e+7XwuYQEZHYU+EqIiJHtupJ3w6bETZHEjVOpnbW9WFztFdB19AJREQk5lS4\nikg8PHeLb5N8/uDQRp8ZOoGIiIgklApXEYkHi16uNLmRiIiISOKocBWReDCDMTMhvyB0EhFJijif\n9/rAdtj4UnyPjxYRaUaFq4iIiMjhPHWjb/Ni+IXZnnW+HTI1bA4RkQxR4SopO2bDvaEjiIi03cLf\nhk4gcdWlJ3TtA936hU6SvnEXhE6Qnso9oROISI5R4Sop6+YqqHX55OUl9M/ntcbC3YLGEJE2qtjt\n297Dw+aQ+LF8mHBh6BTJtOAu35b0DZtDRHJGQisPaY9aClgw9FIsqYVr+U7fjpkZMkXqFt0fOoFI\nGGYw6f1QUBw6iYi0WfTl8MSLwsYQkZyR0MpDpJ36jIrft8BlG33bpVfYHEm1fk68J3oREcm2kv7+\niycRESCGsw2ISFryCuCET0F+YegkyXNgOxzYpi8NJIE0o62IiGSGelxFRDpafY1vz/162Bwi2dZ4\nnGJ+UdgcIiISeypcRUSypbBr6AQi2VVZ5ttpF4fNISIisafCVURERDpOfrGGyYuISLupcBWR3Fe5\nFzbNC51CRERERAJR4SoiuW/HG77teVTYHCIiIiISRLsKVzPrbWZ/NLPlZrbMzE41s75m9pSZrYra\nPtG6ZmY/MbPVZrbYzE7IzK8gIokx7ZLQCURE4qGuKnQCEZGMam+P64+BfzjnJgLTgGXADcAzzrlx\nwP9n777D46ju/Y+/j5olWbblKveCi2y5gDvNIGJC4mBaqAkJPYSbAvmltxtSuDcFbghcIMAFAgQS\nICEJPSSUBYwLLtjGGHdsS5bcZFuWbMmSrPP7Y0bWWpZkaVfas7P7eT2PntkpO/PZnd3VfvecmXnd\nHweYA4z2/24Efh/ltkVERESkOW/f4Q11UjgRSRARF67GmB7AGcDDANbaGmvtPuAC4DF/sceAC/3b\nFwCPW89CINcYMyDi5CIiEhvrX3OdIHm9/0dvaIzbHMmodAXsLwZb7zpJZBoK1sHT3eYQEekgaVHc\ndwSwC/iDMeZEYClwC5BnrS31l9kO5Pm3BwFFYfcv9qeVhk3DGHMjXossffv2JRQKRRFROtqBPds4\n19RSsb8iqn1TWVkZ033bb8dqCoBF7y2iKrs4qnWN3bGDHlXVLIph/ollZWTUVLA0im2ecugQZaWl\nrItB7vD9m1p3kFnAho0bKa6JbNs99q1iMrB8+XL2bYntl8iB29YxBpg/fz41XXpGtI4u1Ts5BViz\nZg3by0MdGe+4TirfhzWprIhiv5+5dSEGCL0zj8oDVTF773ap3s0pwNq1aymtiGybabX7OX3nanbV\n9+DDGP8/GbJ1EyOBt995h/rULhGtY9zHH5IHzCuGuh2hjox3jKafy9MqK6mu282qKJ63E7ZuZXB9\nPW/H+LnPPrCVGcCHq1eza3eviNaRtz3EOGB1TR47Y5x/xJYtDLWWt6LY7sQ9e0jvNpplb78T8/+5\nM6urKd+xnTVRbHN0SQl9a2uZH+Pnvnv5WqYAK1euZM+2aL4mx0as963EjvbtsaJ5R6YBU4CvW2sX\nGWPuorFbMADWWmuMse1ZqbX2QeBBgPz8fFtYWBhFROloC5/8OQA9x5zM9Cj2TSgUIqb7duUu+Ahm\nzpgJfUZFvp7DtRC6AHKHxjb/tvugsi66bS7twsABAxgYg9xH7d/q/TAPRo0cyahTI9z25jRYDied\ndBKMOKOjYrbN4o2wHk499VTolnf85ZuzbysshLFjxzJ2cmGHxjuuTbmQkhrda+fdTJh6DYVnzY7t\ne7d8GyyE/Px88qdGuM21r8C70HfEhNi+ZwHmLYdNcMasWZCRHdk6dj8Oh0dx+ifP69hszThm336U\nQ05un+iet9o3oSQl9s/9zjWwGMYXFMCECLe9YgesgYKzv0hB75EdGu+4Dr8DRSa65634HjhoKSws\njP3/3OWZZOX1p3+k26yv9/7XZubG/rVT1BXeh0mTJsHoGG87AjHftxIz2rfHiuYY12Kg2FrbcI2K\nv+IVsjsaugD7w53+/G3AkLD7D/anSQDln5mkF5Ov3OENcyIsYESCyKR4f0E2+UrXCUSkrQ7t94Zd\n+7jNISJxJeJvItba7UCRMSbfnzQbWA08D1ztT7saeM6//TxwlX924ZOB8rAuxSLBMuUq1wkkSGqr\nXCcQEQmeade7TiAicSTazvtfB540xmQAm4Br8YrhZ4wx1wNbgMv8ZV8GPgNsAA76y4qIJL4F93rD\njBy3OUREREQCKqrC1Vq7HJjWzKzZzSxrga9Gsz0RkUBqOCPsuM4/TlEkblgL7/7OdQoREUkQAT9o\nSUQkIHLyICXVdQqR2LH+uRnzJrjNISIiCUGFq4iIiHSecee7TiAiIglAhatIMqjcCRUBPhda3SHX\nCURERETEIRWuIslgw+vesPsgtzki9fbt3jAty20OEREREXFChatIUvCPNTvxCrcxIpXuF6yDprrN\nISIiIiJOqHAVkWAYPB1S9JElItIm5UUc+dFSRCQB6FugiIhIvNq6EGy96xQSNHs3w641UHPAdRIR\nkQ6jwlVERFpWuQtqKl2nSE4V22H/Nqja5zqJBE31fm847Xq3OUREOpAKVxERadnqf3jDbv3d5ojU\n6udcJ4hcXbU3POuHbnNIcPUY7DqBiEiHUeEqIiIta+imetKVbnNEavd6b5g7zG2OaGR0dZ1AJLYO\nlrlOICJxSIWriIgkLmNg5Ccgu5frJCLSVsse84Y5/dzmEJG4osJVREREROKH9c+GPPEStzlEJK6o\ncBUR6Wwb34D6w65TiEh7lCxznSC5pWW5TiAicSbNdQAJltyPX3YdQSRYqsth31Ywqa6TiMTW3o9d\nJ4jOWv//XVZPtzlERARQi6u00+DazQBkd+3mNogr1eWuE0jQNLS0fvJnbnOIxNqHf/eG/ca6zRGp\ntEwYfY6OjxYRiRMqXKVdak06i/p8lrT0DNdR3Hjv/7xhZg+3OSR4UpP0PSNJzD9OMf8zbmNEzEB6\ntusQIiLiU+Eq0h7GeMNx57vN0V4NF6MXEREREQkgFa4i7dW1b2MBGxRv/cob6mQXIiIiIhJAKlxF\nkkFWT+g5HLrluU7Sfgd2e2fltfWuk4iIiIiIIzqrsEgyMCkwcLLrFJEpL/KGA050m0NEREREnFGL\nq4gEw+hzXCcQEREREUdUuIokg9oq1wkiV/K+6wQibuxc4zqBBNWSh72h0dc8EUkc+kQTSXQbXoP9\n27zjRIPoxf/nOkFyKy92nSB5ffSCN+x1gtscEjxV+7zh8NPc5hAR6UAqXEUSXdF73rBqr9scEkwL\nf+8NdR3a2EtJgW4DYOjJrpNIkNRWwep/eLd1zXERSSAqXEVEpHmbQlBf611GqUuO6zTtt2cTFC+G\n+jrXSdrPWlj2OFSUuk4iQaPXjIgkKBWuIiLSvHX/8oZ1AT1GuqGb8wlnuc0RiYN7XCcQERGJKypc\nRUQksQ2Z4TpBBKzrAMlt2zLYvdZ1iuSl63aLSDN0HVeRRJfdxxsO00k6RETa5P8+4TpB8lr2R1hw\nj+sUIhKH1OIqkui65XnDOb9xmyNZlSxznSB5vf+E6wQSWGrxdqbhxFIiIk2ocJU2W7vkDXqyX114\ngsoY1wmSz+FaeOJi1ymS18qnvaFVERJzB8rgjdtcp4hen9GuE4iIiE9dhaXNyjcvB6DL2E85TuKI\ntbD00WBcXqCuBl671buWn35ocEfPvSSrhfc13jap7nJEa9x5rhOIiIhPhau028CCU1xHcKPaLwJN\nADoq7F579BfHoDm4Bza+ASkB/sIrksyqy71hSrp3PVqRtgri5atEJCZUuIq01xnfcZ0g8S26H976\n9dHTBk5xk0VEIqcfnyRSQ2a6TiAicUaFq0hbvH07bF3kOkXyqKs+erxfQeNJpkREREQk6ahwFWmL\nRDjJiLg1aKrrBO2XO8Qbzr7VbQ4Rab+LHnCdQESkQ6lwFRGJhcHTXCdom9pqePcuqKmA6v3etImX\nuM2UTGoOwMGyxhN75Q5zm0dERCROqHAVEZFGpcsh9N+uUySv+2fBno2Q4v97PvXrbvMku9QurhMk\nr9QM1wlEJM7oVH8iItJIl/Bxa3+JN9SZVd3qOdwb9s13GiMp9R3rDc/8ntscIhJ31OIqIiKJqWs/\nOLATBp7kOknbpaZDXZXrFMmpaDGsfBoysr2W1lFngzGuU7Vd1V44sNvrbh5kWb284bDT3OYQkbij\nwlXapLbmEOmb/u06hkSj2wDXCZLXwMmuEySnvAKoHQFdurlOknzS/C62QwN03e/3HoQPnmkcbzg5\nWVDcPQWq9rhOEZm9W+CV70LdoWPPKi8i4lPhKm1ysGIfkw/Odx1DIjXm05Ddy3WK5DXuPNcJkseK\np+D1n0NaJtRUNnb5lNjqMdgbzr3TbY52sa4DRCeoRStA8WJY90/XKUQkzqlwlTZJ75J55HbfATrL\npUirlj0ORYug20DXSTpGSoD+VRQtgv3bGsdVuLqVles6gYiIJIgAfRsRl1JSG18qJkXn9BJp1Zv/\nDRWlrlN0jPSu0D1BCvAgSs9ynaDt9pfAP74CtVXBOjZUREQCQYWriMS/+sOuE7SPSaAfd8Z+xnWC\n5DbxUtcJ2m77B7DpTdcpREQkQSXQtysRSVj9J7hOIBJ7Xbo3nuRIYs+kuk4gIiJh1OIqbZKRkcmK\nzOnUjDmP6a7DSPPq6+Gv18CejxPvREz5avWTCNmAn3BH3Dn9G64TRCejq+sEkes/CXRYkog0ocJV\n2iQlNZUTv/+a6xjSmroqWP2c6xTSnK79XCdIXr1GuE4g4saYOa4TRG7kWa4TiEgc0s9ZIiKdbfIX\nXCdIXhMudp0guaUHuNUvyLoPglS1TYhIYlHhKtJeGTmuE0jQ6AyrkoymXQdpGa5TiIhIglDhKtJe\nJ37OdYK26zPGdQIRERERkaipcBVpr6B0v+ozBrr2dZ1CRERERCRqKlxFREREREQkrgWk6UhEEp61\nULYB6uug/rDrNCIiIiISR1S4ikh8WP0c/OVq1ylEREREJA6pcBWR+FC9z3WC5Pb+E1BRCvX1rpMk\nn/p6qKmAbcvg0H7XaUREROKSCleRlhzcA3s+hqxc10mSU8EFXiusdL7KXfDcV12nSF7PfBHWvNg4\nPngGFL/nLo+IiEgcUuEq0pI/XR78L4/1da4TRC6rl+sEycPqmGKn9m09ejxvfPA/e4Joy3zXCURE\npBUqXEVaUl3uOkH0ihZ5w7pDbnOISMuMcZ1AKnbA/m2uU7RfXQ1U7YUt81wnic7GN10nEJEAMNZa\n1xlalJ9v7AMPHD1twIAvkZ//IACh0LH/7DU/GPNDoRBwVuy33/Ny8k98KvL7l6ST//mazssX7fyS\ndPLXZXnzC489Vi7u92+c5I96/m8LCE35KH7ztTS/Dc9/aennKSwsjM/8A24g/8/PtJo/EM//1GsJ\ndbsr5tuHcyksfDHy9WfPIf/ld735QX3+M6+FlU8FN3/dHNgUCm7+9TlgD7vNX7SY0MYZ7rav+Zqf\nhPPPOoul1tppx8xoQtdxFRHpSDUHg9lykwjqalwnkKBLz3KdIDo9R7hOELncYTqnhIi0Ks5bXPPt\n2rVrXceQThAKhSgsLIzdBlf+Bf52A3xtKfQZ1bb73DsTdq05dvpPHXQhfvIyqNwBX36r5WVqDsB/\nD2wc7zMGdq/zbl//bxhy7C/IneWo/Vu9H341BM75Lzj1ay3faemj8MItjeNTr4Wlf/BuX/wwTLyk\ns+K2bvHD8NI34VvroFve8Zdf9Sz89bqjp7l4zTR4ZA6kpMI1L7a8TMV2+J/8xvFBU+FwDWz/ACZe\nChc/dGRWTN+75dvgzgI4726Y2sqlksqL4b0HvS6Tyx4/+rXz+WdgzKdik7epeb+D126FH5ZCRnbL\nyz1wBpSuaBxvyJ+WBT/e3vk5fcfs29+fDrlD4XN/atsK/vkDWHhf4/i062DunR2asc12roH7ZsIl\nf4AJn215uTf/G976deN4+Gvn2ldg2Kmdm7Mlr/8C5t0Jt+5pfbm7J8OeTY3jDfm7D4Jvrj4yOeb/\nc383CYaeAp99oOVltn8A95/eOD7uPO8444NlcNot8Mmfd37O5hQthofPhiufhdFnu8nQDjHftxIz\nybRvjTFqcRURibnDtd5w6jVOYySV1c/Bu3d5RWsiaDgmva7KbY72ajimPr2VIl2kwWH1kBCR9tHJ\nmUQk/g2c7DrB8W3/ADbPg3X/9CfohDsxYxPt2rN+T6izf+oyRPulpMEJhbB3s/cn7sRxbzoRkUip\ncBWR+Nd7pOsEx/ev/4RNOjOmJJn6wxD6pXfd66JFXuGaKPpPcp2g/eqqvWFQWzMPlrlOICJxTIWr\nSKLYutB1guQW5GvmNmf7B96woetzUKVluk6Q2PZ8DG/f7jpF5+iS4zpB+x2q8IZDT3abI1oTL3Od\nQETikI5xFUkUm/3r+OVNcJtDEsu0646/TDwbdprrBAmumS6pDd2EE64Ld4CMPPZyZIGSO8R1AhGJ\nQypcRRKFMd4xZgNPcp1Ews38D9cJopPTz3WC6KSqY5Ezo+L/jKwiIhIcKlxFEk3DtSzV2iEiLgXh\npGoiIhIYKlxF2iMIl3nYX+INc9pwzVERERERkQBQHyqRtvrGB5DZw3WKY+0vbf7yE1Ougi3vukgk\nIiIiItKhVLiKtFVWT+jSzXWKYz16LuzZ6DqFiIiIiEinUVdhkaCrLnedoGPUHXKdQERERETilApX\nkaBLSXWdoGO89jPXCUREREQkTqlwFZH4kN0Lug9qHM/o6i6LiIiIiMQVFa4iEh+MgRFnNI5Pv95d\nFhERERGJKypcRZqzvxR2rXGdIrmlpLtOICIiIiJxIurC1RiTaox53xjzoj8+whizyBizwRjztDEm\nw5/exR/f4M8fHu22RTpNyTJvmNWzcVq6uq6KiIiIiLjQES2utwAfhY3/GrjTWjsK2As09Pe7Htjr\nT7/TX04kvhVc6A3HnQ8pAeyg0JA/J89tDgkWa10nEHEjJUBXCTywG/ZsOnpaopysT0SkGVF9EzfG\nDAbOBR7yxw3wCeCv/iKPAf43Zy7wx/Hnz/aXF5HOcumj8ONd0HOY6yQSzza8fvR4epabHMmo/jCU\nrjh6WmqGmywC+XNcJ2i7ze94w9Qu3nDiZWACXLh27es6gYjEuWh/Wvwd8F2gmz/eG9hnra3zx4uB\nhtOEDgKKAKy1dcaYcn/53eErNMbcCNwI0LdvX0KhUJQRJR5VVlbGdN/227GaAmDRe4uoyi4+7vK9\nd69iIlBSUsJAYNeuXXzo8LU4sayMjJoKljaT4ZSaGrqEje/bt49c4KOPPmLH3rdiFfEo4fs3te4g\ns4ANGzdSXBNq8T4zq6sp376d/v74goULOcW/7fJzYOC2dYwB5s+fT02Xni0ud+K+vYTPbXjtFBcX\ns8Fh/pPK92FNKitayTBq/UsMDhv/oNuZTORdAN5bvJiDXXccmRfL926X6t2cAqxdu5bSipa3Obho\nI6PCxj+s6sN4/7bL186QrZsYCbz9zjvUp3Zpdpke+1YxOWy8LrUrpTvLGQJs3LSJorpQDJJ6mu7b\naZWVVNftZlUrz2HWwWJmho3v2buXXv7tBQsWcCjTTTGSfWArM4APV69m1+5eLS5X+NbRnb+Wrt7A\nVP+2y9fOiC1bGGotb7WSoe/O1YwHSvoVMrD0Vbbv3E1KfQ39gHXr1lNyoPG+sf6fO7O6mvId21nT\nyjYHlPyL/LDxJXY80/zb78ybx+E0N4fndC9fyxRg5cqV7NkW/y3wsd63Ejvat8eK+B1pjJkL7LTW\nLjXGFHZUIGvtg8CDAPn5+bawsMNWLXEkFAoR0327chd8BDNnzIQ+o46//JoDsAoGDhwIpd6PKE5f\ni9vug8q65jMsyYCaxtHc3Fwoh3HjxjHuxGaWj4Gj9m/1fpgHo0aOZNSpTfJU74d//wRqKqF6J1n5\ns8GvkU45+WRY6N12+twv3gjr4dRTT4VurXS53twT9jWODhw1EUpfZfDgwQx2mX9TLqSktv4cHnwJ\n9vSEzFzY+zETJ0yAVd6sGdOnQ79xRxaN6Xu3fBsshPz8fPKntrLN+35w1Oj4sy6F1bcDjl8785bD\nJjhj1izIyG5+mQ11sBw46UpY/iRpQ6cxpP9gKIaRJ5zAyNMLYxb3mH37UQ45uX1afw53r4f3Gkd7\n9ezpHSQEnHLKKdBjcPP362w718BiGF9QABMKW14uBKRnQ+1BAKZOmQr+KQ6cvnYOvwNFpvUMH+6F\n1Y3/p/r37w911bALxowZzZjpjfeN+f/c5Zlk5fWnf2vbfPK+o0anTZ0KS73bs04/HTJ7dF6+1hR1\nhfdh0qRJMLrQTYZ2iPm+lZjRvj1WNF2FTwPON8ZsBp7C6yJ8F5BrjGkoiAcD2/zb24AhAP78HkBZ\nFNsXkaArXQ5L/wAf/MV1ko7VayRkdnedInnsK3KdIHqJ0j04q+XWzbiUkgaTLnedIjmlpkO/Atcp\nRCRAIi5crbU/sNYOttYOB64A3rDWXgm8CVziL3Y18Jx/+3l/HH/+G9bqDCAi0oKcPJhyFZxzm+sk\nbVNd3njbBPBEXkGWmgZTr3WdQgCmaT9IO+izUkTaoTM6738PeMoYcxvwPvCwP/1h4I/GmA3AHrxi\nV0SkeSmpcP7/uk7RNmUbYftK1ylEYu9QhesEIiKSJDqkcLXWhvCOFMFauwmY0cwy1cClHbE9EZG4\nctA/6mHoqbB1vtssIrG08L7jLyOxM+Fi2PsxDJp2/GXj0dRroaIUMnJcJxGROBT/p0sTiaUtC+Cj\n5+Hjt10nkSDqm99YuDZ0gUsN6MfsBfdC8WLveN2g6TnC+wI8aOrxl41Huf7lq7oNcJujLRque5qS\nDvW1brMIjJvr/QXVeb9znUBE4lhAv1GJdJL5/wtrX3KdInJBLDIS1YRLoLYquCd+mfwF7y+I0jLi\n/wvwwT1QvASKFh47b+aNMOlSyGr58ktxJXcoVOw4dnoLlwASERGJhApXkaME/Hxh4+ZC8VLXKQSg\n+wA487uuU0i8+td/wvInWp4flKK1OTfNg8qdkOPmGq5R6T0STiiE0Z9ynURERJpQ4SoiIhJrtQdc\nJ+g8/Se6ThC5rJ5w1XPHX86l2mrYswnKi10nERGJKRWuIiLJqnSldyKXUp0RWSQwnv9a4l37WkSk\nDVS4igRdXbXrBBJUj18AVXu820HumiqSTKr2uk4gIuKErvwsEmQb34TqctcpJKgO7XedQERERKRN\n1OIqEmT7t3nDUWfDhte82z0GecP0bDeZJDhSM6C+znUKkdiqrYZ1r8DhWr3+RUQCRIWrSCLIHdp4\ne85v4KTPw7DT3OURiYWqfXC4BmzAzwYusbXuFfjLNa5TJK+lj3onllr/L+gzxnUaEQkQFa4iiSYr\n17ucQxCd9g1Y8WfXKSQIipfAQ7Ndp5AgqjvkOkHyqi6HF25xnUJEAkqFq4jEj5RUuOp5qK/1bou0\npHKH6wQi0l623nUCEQmwOD850zpCIUNFxVIA1q69kVDIsHbtjQBUVCwlFDKEQubIPZYsmUooZCgp\neRCAkpIHCYUMS5ZMPbJMw320XnfrhbNim7faO/6zZM9Tx1/vmCpChftZO6bKW2/OYUJ5T7h9fvv+\nu/W8Ob9rzBsHrwe4sXG9C3sQKtxPRf3W5tebc5hQ4X5Chf6Jgk44kyX7vhc/r99Dj3uvhy3fbnm9\nRVcRKtxPSfoH3np77oqf91tGOaHhLzW/3ryD3noH1BCauYUlo9cdd71wR+fmbW69B249dr3b57Jk\namXjervd5b3Ocg7H9vltbb318731bn/k2PX2fezovF1e915nvVY4ywsvHL3e4cuPv97st7z15tR6\n7+MtZ8bu+W1tvavHec9v3cbm19v0cwdYMrUyfj53zHOEztzb+nqnVh79uZOxusX1wtrOzdt0DmtC\nVgAAIABJREFUvVlVhHo9eOx6F/WiZECNt94BNYTGzT/6fezqc7K59e78Svy8HrRerTfB19tWcV64\nijh2QiGkZ7lOISIiIiKS1IyN45Na5Ofn27Vr17qOIZ0gFApRWFgYuw2u/Av87Qb42lLoM6rl5f78\nOVj7snc7vSv8qCQ2+Y7nycu8rpFffuvo6e8/Ac99FaZdB0segdNugU/+3E3GMEft3+r98KshcM5/\nwalfO3rBj9+Gx85rHP/aEugzOmY522Txw/DSN+Fb66Bb3tHzVjwNb/0K9mzyxqdeC0v/AL1Hw9eX\nxD5rcx6Z43W7vubFY+f91wCo9VpdyeoJmbmw92O44k8w9txmVxfT9275NrizAM67G6ZeffS8NS/B\nU59vHG947gF+GieXiJr3O3jtVvhhKWQ0Ocv3X66BD//eON6Qf8SZcPXzMY3Z4Jh9+/vTvRO/fe5P\nxy687lXY8zHM/19ISYGKHXD4EFz9Aow4I2aZW7RzDdw3Ey75A0z47NHzVjwFf/9y43g8vnZe/wXM\nuxNu3XPsvCcubjyLPDTmn/wFuODeZlcX8/+5v5sEQ0+Bzz5w9PSqvfDr4Y3jeRNgxyrv9o0hGDg5\nRgFbUbQYHj4brnwWRp/tOs1xxXzfSswk0741xiy11k473nI6xlVEJFJb5jUWrUFXf9jrYbD0Y+jW\n33Wa5NNwTHeXbm5ztEX9YfjTZY3j4Wc1l9jLn+OdXXva9a6TiIh0KhWuIiLiXdNy7p1wzm3QJcd1\nmvYz7T9WJq4UXAA9BsPYua6TSNCM+iSM+ZTrFCIinU6Fq4i4E8eHKiSdT/zIK/6CWLQCpKTB9f+G\n1HTXSSIzfFZ8dLGVYOnaz+uqHVT6HyAi7aDCVUTceft21wk6Vor/kdq1r9scyWrIDNcJIhf0FuMg\n59elt9w5XOM6gYgEiApXEXEn0b4wnnAm9BnjDSW2eo10nSC5zfo2rHwaep3gOkn7ZfaAix+G7F6u\nkySfkZ/wTgS37p+QO8x1GhGJcypcRcStITOhaJHrFB0jPQtm3nj85aTjjb/QdYLkduZ3vL+gmniJ\n6wTJaehMmHAxfPJnrpOISAAE+MAIERERcS7oxyn2GOI6gYiItIEKVxGRjtIn33UCkdir3u86QXQm\nXXb8ZURExDkVriLhquPk4vMSTLlquZEkNONLrhOIiEgSUOEq0qBiO2x513UKEZFg0Q82IiISAypc\nRRpU7fWGgwN8SQ0RERERkQSkswqLNJU3Horfc52idRteg3X/grUvu04i4kZdtesEItJeu9a5TiAi\nAabCVSSI3v4f2Dq/cTxvPGTmwqCp7jKJxNKbv3SdQCT2ag54P1wG1UfPu04gIgGmwlUkkJpcfmL0\nOTD9BjdRJJi2zIfag65TRK5LN0jPDuZjsBbW/tN1iuS1daHrBJEr2+ANTSrYw26zRMIY733bZwyU\nLnedRkQCRse4iogko9IV3rDvWLc5ImUMDDvVdYrIlBdBXZXrFMlr4+uuE0RvylWuE4iIxJwKVxGR\nZNZ/ousEyae+zhtOudptjmSV2gXGznWdQkRE2kmFq4hIpD56wXUCCTKjf8FOGAOp6a5TiIhIO+m/\npoi4Z1K9YUqADrs/uKfxEkoiyWTFn10nEBGRJKTCVUTcu+5VuOgB6DncdZK2s/XecOo1TmOIxNz+\nEm+os5iLiEgMBah5Q6STlG30WhAaztYYRN0Guk4QnSHTvb9AMq4DiLjRta/rBCIikkRUuIos/QPM\n/1/XKSKXNwFS9VYWERERkcSlrsIitsk1UbvkeMOBJ8U+i4iIiIiIHEPNNCJNDZwCX3oTeo1wnURE\nRERERFDhKnIsY2DQFNcpRESko1Tvhxe/AYcqYPc6yBvvOpGIiLSTClcRkWQWpGuJWgsrnvIuQ1S6\nEk4403UiCYpda2DVs65TROdwHdQf9m5ndveGA050l6c9/vZl2LoA9m2BtCzXaUQkoFS4iogkk9XP\nwaYQrPqbNz75C5CaDvmfcRqrTco2wj9ucp0icvX1ULYe9hV54zl53nDc+e4ySTAsegBe+W7j+OAZ\n8B8LIHeou0ztsfZlOLTfdQoRCTgVriLihrVQvBT6jXOdJLm89RvYsapxvP9EGHGGuzztUV/rOkF0\nFt4L//px43ivEfCj7ZDaxV0mCYaml2szBvIK3GSJREqq6wQikgBUuIocQ9fl7FS1VfDIp6B0hTd+\nqMJtHpFYqdp77LR0dZsUERFpiwAd3CQSI8NnuU6Q2A6WNRatAGd+t+VlRY5n8AxI7wpdurtOIiIi\nIp1ILa4iTXXt7TpBcsno6jqBBNl1rwJWXRFFREQSnApXEREJrhR1HJIInfEdrwdIerbrJMmn/0Qo\nXQ7Z+qFYRNpOhauISHscroWS9+HAbtdJJEX/wmKqYjvs2eSd3TkRfOLHx18mXqWku04QnfPugsIf\nQI9BrpOISIDov75I0NQf9q6HJ24sfRRe/rbrFB0nyMeGnnaL6wTRCVo3+T9+FnZ+2Dg+8VIo3wYD\nTnKXKVKHA36G6iBfw/hwjde1X0WriLSTCleRoCl533WC5FZT6TpBxxn9KR0b6lIQrp0brul1OMdf\nBBMvcZMlWif/h+sE0UkL8CWU7GHXCUQkoHRwkEjQHK7xhlOucptDPN0GQNe+cOLnXSeRoAnajwYm\ngS4VltnDdYLkdfo3XScQkYBSi6tIUOn4vviQ3Qu+s8F1ChGRYNDJsEQkQmpxFRGJRveBrhOIiIiI\nJDwVriIi0Rh7rusEIrHXtW/wujqLiEigqXAVWfeq6wQiIsEydq7rBCIikmRUuEpyq6uBsvWuU4iI\niIiISCtUuEqSs95AZ+gVEREREYlbKlxFAIyO1RIRERERiVcqXEVERERERCSuqXAVCaqGa+H1GuE2\nh4iIiIhIJ0tzHUBEIjTyE96lWPoVuE4iQVK933WCyJWudJ1AxI1Vf3OdQETEORWuIkGVkgrDTnWd\nQoJk2zIo3+o6ReTWveI6QXQWP+Q6QfJa+7LrBJGrOQAHd7tOISLinLoKi4gkiwO7vOEJZ7nNEamU\nNOh1gusUkasud50gee1Y7TpB5Gy9N5x6rdsckTpUAVV7XacQkQSgwlUEILO7N+w/0W2OZLD0MdcJ\npOdw1wmSV1CLj6AzBgac6DpFcvrwH64TiEiCUFdhEYDMHvCDbZDWxXWSxNfQ5S0tE+qq3WYREZHO\nVV/rDU/6Aix/wm0WEQk0tbiKNOiSA6nprlMkh659IauX6xQiIhIrxnUAEQk6Fa4iIiIiIiIS11S4\nioiIiIiISFzTMa4igWG9s5LWHHQdJLmtf811guhl9fSGQT5Db1CZgPaX3P4B7AvwpZSOEcD90GMw\nFFwAA6e4TiIi4oQKV5GgKF0BvxraOJ4S8ONxu/WHihLvEidBUrTQdYLojZ0Lk78AucNcJ4lM7jDY\ntyWY74HsPnDWj6DHENdJ2mfXWm+YNxF2fOA2SzQufxK2LYG++a6TtF9aF7jscdcpIpea4Q8D9pkv\nInFDnx4iQTV4uusE0bnoftgyH4ad5jpJ+6RlwYTPwrIAX9bHAL1Huk4RuSuehG3LYOBk10nazxg4\n87uuU0Ru8LRgF67j5np/EntTr4V+BVBwoeskIhJQKlxFgiotw3WC6PTND2arhzFgdHoAp/pP1DWX\nRYImpx/M+JLrFCISYPr2JSIiIiIiInFNhauIiIi0TUZXb9i1j9scIiKSdNRVWERERNrmpCth3Pkw\nYJLrJCIikmRUuEpy27bMdQIJopRU1wlE3EhNh6EzXacQEZEkpMJVktvGN7xh0M5sK26lZsDVL0J6\nluskIiIiIkkh4mNcjTFDjDFvGmNWG2M+NMbc4k/vZYz5tzFmvT/s6U83xpi7jTEbjDErjTG6gra4\nZ/yL0A892W0OCZ4Rs7xLg4iIiIhIp4vm5Ex1wLestQXAycBXjTEFwPeB1621o4HX/XGAOcBo/+9G\n4PdRbFtERERERESSRMSFq7W21Fq7zL9dAXwEDAIuAB7zF3sMaLjS9AXA49azEMg1xgyIOLmIiIiI\niIgkhQ45xtUYMxyYDCwC8qy1pf6s7UCef3sQUBR2t2J/WikisbZvK7x9Byx77PjLioiIiIiIU1EX\nrsaYHOBZ4BvW2v2m4ZhBwFprjTG2neu7Ea8rMX379iUUCkUbUeJQZWVlTPdtvx2rKQAWvbeIquxi\nBm57hTHrG4vWeH+dTSwro3eTafGcOXz/ptYdZBawYeNGimtCjC4poW9NDfPjOH+4gdvWMQaYP38+\nNV16cnpdHaXFRWwMSP6TyvdhTSorQiF6lX3AJGDp0mVUrK+IaH2xfO92qd7NKcDatWsprQgxbscO\nulVV8V5AnvshWzcxEnj7nXeoT+1CIbB582Y2x2n+pvt2WmUl1XW7WRUKNfkM3eYsY1tlH9jKDODD\n1avZtbsXE8rK6HKokqVx+tw3NWLLFoZay1uh0DGfoZGI9f/cmdXVlO/YzppQiAEl68in4TO0V8wy\nRKp7+VqmACtXrmTPtvg/h2ms963EjvbtsaJ6Rxpj0vGK1iettX/zJ+8wxgyw1pb6XYF3+tO3AUPC\n7j7Yn3YUa+2DwIMA+fn5trCwMJqIEqdCoRAx3bcrd8FHMHPGTOgzChZvgPWNs+P+dbbtPthz9KR4\nznzU/q3eD/Ng1MiRjDq1ECqfg/KMuM5/lMUbYT2ceuqp0C0PFqQxZPAQhgQl/6ZcSEn1nu/XQgBM\nnToFBk2NaHUxfe+Wb4OFkJ+fT/7E6RB6G3KHBue1M285bIIzZs2CjGwIwfDhwxkep/mP2bcf5ZCT\n28eb9sHusM/Q0a4itt3ONbAYxhcUwIRC2HwHpHcNzmvn8DtQZLy87z8BwKiRo7zP0AjE/H/u8kyy\n8vrTv7AQlmyCdQ2fof1jlyFSRV3hfZg0aRKMLnSd5rhivm8lZrRvjxXNWYUN8DDwkbX2t2Gzngeu\n9m9fDTwXNv0q/+zCJwPlYV2KRUSks216yxt2C+DpBQ6WecN+493miNSKp7yh0TWAY65iO2x+B+oO\nuU4SmbIN3rDgfLc5IlWxw3UCEUkQ0bS4ngZ8EfjAGLPcn/ZD4FfAM8aY64EtwGX+vJeBzwAbgIPA\ntVFsW0SCavM8qK9znSI5pabDCYXQfaDrJJEbN9d1gsjs9zsYTb7SbY5k1PCjx9hz3eaIRmoG5A51\nnSIy8//XG6Zlus0hIoEXceFqrZ0HmBZmz25meQt8NdLtiUgCOFQBu9e5TiHiTte+rhMkr4EnuU6Q\nnDJ7QN8xkJXrOomIBFw013EVEWmfhpbW2be6zSEiIrGRkgr9ClynEJEEoMJVRGIvPct1AhEREREJ\nEBWuIiIiIiIiEtdUuIqIiIjEG3sY1r8G6/8Nh2tcpxERcS7+r6wsIiLR2fwO/LbAO7Nt7wBcg7Op\nF252nSA67z0AC+51nSI6RYtcJ4jMXwN+AYMnL3adIHIrn4KP34aKEqipdJ1GRBKACleRIMro5jqB\nBE3D5Vj2bHKbIxm99lPXCaK34XVvmN3bbQ4JlooSf6hruYpI9FS4igRJ90Ew61vQf6LrJMmptgoO\n7XedQiT2UjNgzKchu5frJCIikqRUuIoEQV21N6w/DNOvd5slUv/6kfcXZB/8xRumZrjNIRJrxkBq\nuusUIiKSxHRyJpEgqN7nDfuNdZsj2dUd8oYnf8VtDhEREZEko8JVJEgKLnCdQABSUl0nEBEREUkq\nKlxFREREREQkrqlwFRERERERkbimwlVERERERETims4qLMlt2vW6LqGIiIiISJxT4SrJrfD7kNPP\ndQoREREREWmFugqLiIhI83asggX3ws7VYK3rNCIiksTU4ioi0hav/gBWPes6hUhs7dsCr/7Qu71z\ntdssIiKS1NTiKslp8cOuE0jQqGiVZHe4znUCERFJYipcJTkd3OMNdWImEREREZG4p8JVklNKKkz+\ngjcUEREREZG4psJVRCSZDJjkOoGIiIhIu+nkTCIiyaDvODj3f6D3KNdJomRcB4jMxMsgKxdSM1wn\nST4nnAUZXWHQNNdJInPNy8E/rCUj23UCEUkAKlxFRJKBMTD8NNcpIjf+IsgdCqPPcZ0kMrP/08sv\nsTf2XJjxJdcpIpdXAFk9XaeIzMDJMOJMGH+h6yQikgBUuIpI7PQdBylpwW35EHf6T4RZ33KdQkTa\nI7s3fPJnrlOISIJQ4SoisZP/aTj7p65TiIiIiEjA6ORMIiIiIiIiEtdUuIqIiIiIiEhcU+EqIpIM\nrHWdQERERCRiKlxFRBJZ5Q5vWHvAbQ4JIP3YERdS0l0nEBGJCypcRUQS2aH93vDEz7nNEa0RZ7pO\nEJ2c/q4TtN+uNa4TdIyhp7hOELm8idAlx3WK9jtc6zqBiCQgFa6SfCp2wP5trlOIxFafMa4TRGdw\ngC+hNHYupGW4TtF+9XXe8MTPe8Ocfu6yRKP/BNcJIjdkuusEkako8YY6REFEOpAuhyPJZ9Ob3rDH\nULc52qN0hesEHSPoX2LGzIEDuyCzh+skIrEz5lMwaAoMP911EgkaXXtZRDqQCldJXpMudZ2g/YYF\n/Ivj8FmuE0Ru4GT4/FOuU4jEXnoWzPiS6xQSRMa4TiAiCURdhUWCpG/Au3sOnek6gYiIiIgEkApX\nERERERERiWvqKizJ5e3b4eO3XKcQEREREZF2UOEqyWWljlEUEREREQkadRUWERERERGRuKbCVURE\nREREROKaugqLBMEZ34VtS12nEBERERFxInCFa21tLcXFxVRXV7uOEvcyMzMZPHgw6enprqNItD7x\nI9cJREREREScCVzhWlxcTLdu3Rg+fDhGF7ZukbWWsrIyiouLGTFihOs4IuLK4RrXCURERESiFrhj\nXKurq+ndu7eK1uMwxtC7d2+1TIsku+pyb5iW6TZHMtq31XWC5FVf6zpBdHavc51ARCTuBK5wBVS0\ntpGeJxE5YsynXCdIPiXLvGG/cW5zRCurp+sE7Vdf5w1TAnqoTNEibzhwstscIiJxJJCFq4hIzDS0\nWAZdakC/wCeC/DmuE0RnyAzXCSKXV+A6QXRGfsJ1guh0G+A6gYgkEBWuHejRRx+lpKTkyPgNN9zA\n6tWrARg+fDi7d+/ulO1IhNKzXSeQIGg4m3PXvm5zJLPs3q4TiEgkeukcGyLScVS4dqCmBeVDDz1E\nQUHH/9qrwjVKn30IvvQGdOvvOknySe3iOkHkplzlOkHyMkH9V6XDNZwxqd4wd6jbHJHqM8YbBva1\nnwB2r3WdQESaCNxZhcP97IUPWV2yv0PXWTCwO7eeN77VZTZv3szcuXNZtWoVAHfccQePPvoomzdv\n5sorryQrK4sFCxYwZ84c7rjjDqZNm3bc7T7xxBPcfffd1NTUMHPmTO677z4Arr/+epYsWYIxhuuu\nu44hQ4awZMmSo7aTlZUV/QNPJrlDYNBU1ymSU1qG6wTJ54v/gOp9rlNEJ6Or6wSROe1mePk7kDvM\ndZLkkzceZt8KEy9xnSQy590Fa15SV1sXug/0juvuPtB1EhFpItCFazy55JJLCIVCbS5Uw3300Uc8\n/fTTvPvuu6Snp/OVr3yFJ598kvHjx7Nt27YjBfK+ffvIzc3lnnvuiWg7IpKERp7lOkHkuvb1jvE7\n+auuk0Rm/EXeX1B9+R3Auk4RmZRUmPVN1yki13uk98NHUJ38Fejax3WKyPQYBN/b7DqFiDQj0IXr\n8VpGg+L1119n6dKlTJ8+HYCqqir69evHeeedx6ZNm/j617/OueeeyznnnOM4qUgSGncerHkReo9y\nnST5pGXAF//uOkXyGjDJdQIJqk//0nUCEUlAgS5cXUlLS6O+vv7IeLTXSrXWcvXVV/PLXx77Qb9i\nxQpeffVV7r//fp555hkeeeSRqLYlEnMp/sdMUM+OeeIVMO58yNDJvERERERc0VH/EcjLy2Pnzp2U\nlZVx6NAhXnzxRQC6detGRUVFu9c3e/Zs/vrXv7Jz504A9uzZw5YtW9i9ezf19fVcfPHF3HbbbSxb\ntiyq7Yiv92jXCZJLRjZc8xJc9KDrJJFT0SoiIiLilFpcI5Cens5PfvITZsyYwaBBgxg7diwA11xz\nDTfddNORkya1VUFBAbfddhvnnHMO9fX1pKenc++995KVlcW11157pHW3oUW26XZ0cqZ2yMmDrrq0\nRswNP911AhEREREJMBWuEbr55pu5+eZjT5xw8cUXH7kdCoWO3N68eXOr67v88su5/PLLj5ne0Mra\ndBvh2xEREREREUlk6iosIiIiIiIicU0trjFUVlbG7Nmzj5n++uuv07u3uq+KiIiIiIg0R4VrDPXu\n3Zvly5e7jiEiIiIiIhIo6iosIiIiIiIicU2Fq4iIiIiIiMQ1Fa4iIiIiIiIS11S4ioiIiIiISFxT\n4dqBHn30UUpKSo6M33DDDaxevRqA4cOHs3v3blfRREREREREAkuFawdqWrg+9NBDFBQUOEwkIiIi\nIiISfMG+HM4r34ftH3TsOvtPhDm/anWRzZs3M3fuXFatWgXAHXfcwaOPPsrmzZu58sorycrKYsGC\nBcyZM4c77riDadOmHXezF154IUVFRVRXV3PLLbdw4403cv/997Nx40Zuv/12wCuMlyxZwj333MMv\nfvELnnjiCfr27cuQIUOYOnUq3/72t6N//CIiIiIiInFGLa4d5JJLLmHatGk8+eSTLF++nKysrHbd\n/5FHHmHp0qUsWbKEu+++m7KyMi6++GL+/ve/H1nm6aef5oorrmDx4sU8++yzrFixgldeeYUlS5Z0\n9MMRERERERGJG8FucT1Oy2iQ3H333UeK1KKiItavX8/JJ5/MCSecwMKFCxk9ejRr1qzhtNNO4667\n7uKCCy4gMzOTzMxMzjvvPMfpRUREREREOk+wC1dH0tLSqK+vPzJeXV0d1fpCoRCvvfYaCxYsIDs7\nm8LCwiPrvOKKK3jmmWcYO3YsF110EcaYqLaVtOqqvKG1bnOIiIiIiEi7qatwBPLy8ti5cydlZWUc\nOnSIF198EYBu3bpRUVHR7vWVl5fTs2dPsrOzWbNmDQsXLjwy76KLLuK5557jz3/+M1dccQUAp512\nGi+88ALV1dVUVlYe2b60Yrt3PDJdctzmEBERERGRdlOLawTS09P5yU9+wowZMxg0aBBjx44F4Jpr\nruGmm246cnKmtvr0pz/N/fffz7hx48jPz+fkk08+Mq9nz56MGzeO1atXM2PGDACmT5/O+eefz6RJ\nk8jLy2PixIn06NGjYx9kwvFbWmfe5DaGiIiIiIi0mwrXCN18883cfPPNx0y/+OKLj9wOhUJHbm/e\nvLnFdXXp0oVXXnmlxfnNtah++9vf5qc//SkHDx7kjDPOYOrUqW0LLiIiIiIiEjAqXAPqxhtvZPXq\n1VRXV3P11VczZcoU15FEREREREQ6hQrXGCorK2P27NnHTH/99dfp3bt3u9b1pz/9qaNiJYds//nN\n6Oo2h4iIiIiItFsgC1drbSDPrtu7d2+WL18es+1ZnUG30YwbITUDxl/kOomIiIiIiLRT4M4qnJmZ\nSVlZmYqy47DWUlZWRmZmpuso8SG7F8z6plpcRUREREQCKHAtroMHD6a4uJhdu3a5jhL3MjMzGTx4\nsOsYIiIiIiIiUQlc4Zqens6IESNcxxAREREREZEYiXlXYWPMp40xa40xG4wx34/19kVERERERCRY\nYlq4GmNSgXuBOUAB8DljTEEsM4iIiIiIiEiwxLrFdQawwVq7yVpbAzwFXBDjDCIiIiIiIhIgsT7G\ndRBQFDZeDMwMX8AYcyNwoz96yBizKkbZJLb6ALtdh5BOo/2buLRvE5f2beLSvk1c2reJK5n27bC2\nLBR3J2ey1j4IPAhgjFlirZ3mOJJ0Au3bxKb9m7i0bxOX9m3i0r5NXNq3iUv79lix7iq8DRgSNj7Y\nnyYiIiIiIiLSrFgXrouB0caYEcaYDOAK4PkYZxAREREREZEAiWlXYWttnTHma8CrQCrwiLX2w1bu\n8mBskokD2reJTfs3cWnfJi7t28SlfZu4tG8Tl/ZtE8Za6zqDiIiIiIiISIti3VVYREREREREpF1U\nuIqIiIiIiEhcU+EqIiIiIiIicU2Fq4iIiIiIiMQ1Fa4iIiIiIiIS11S4ioiIiIiISFxT4SoiIiIi\nIiJxTYWriIiIiIiIxDUVriIiIiIiIhLXVLiKiIiIiIhIXFPhKiKBZIx5yhjz4zYuu90Yc9AY81Bn\n52qveM4mbWOMmWuMqTTG1BtjTven/doYc8AYUxfjLF38LANbmH+TMea1WGY6HmPMScaY+a5zSPsY\nYxYaY77QxmV/1dpnnDFmozHmlDasxxhj3jfGjG5PVhFJDCpcRaRT+V+iK8O+2FeFjV8ZwyjnWGtv\naCbfOcYYG14EG2OuMsasM8aUG2N2GGMeNsZ0DZu/0BhTHfY4VoTNu9AYs8AYs88YU2qM+b0xJrut\n2YwxmcaY6rY8IH9Z6xdIDVnuCZufYoy50xiz1xiz2xhzW1vWG3b/G/31fyFsWqvrNMZMN8Ys94vx\n94wxE8LmPWWMuaKN215ojDm5lfmtfhHubOGPxVr7orU2B9jZMN9a+z1gaiv3b7rviv1i10STy1p7\nyFqbY60tiWY9MfZfwG9ch2ivsH04uJl5NxljXgv7ISH8M/Bg2HhF2O0aY0xt2PjfjTFjW/rxw38P\n1DZZ//bOf+Qdz1o70lq7oA3LWeBO4KedHkpE4o4KVxHpVP6X6Bz/i/1W4LywaU+6zGaM6QL8D7C4\nyay3gFOstT2AUUB34NYmy9wQ9jhODJveHfgJMACYAIwB/rsz8ofJD8vytbDpXwc+CRQAU4DLjTHX\ntGWFxpi+wDeBtU1mtbhOY0wW8BzwINAT+Avwd2NMWoSPq6VsHbo+x/L998bZwLVAm1qwEoUxZhgw\nA3gpwvvH9Wsh7IeEnLAfN84Jm9YtbN5vgcfC5l3Uhk2EL59jre0fSc54fx6b+BtwrjGWbiqKAAAg\nAElEQVSmt+sgIhJbKlxFxCljzGnGmEV+C2WJ35qX5s9LNcbca4zZ5bd+rjDG5Dezjh7GmHnGmNvb\nufkfAH8HNoVPtNZusdaWNaweqMcrYI/LWvu4tfbf1toqfx0PA6e1M9cRfsvjL4wxS/3n4FljTI82\n3v1q4DfW2lJr7Vbgd8A1bbzv7XitYPvasc5PAtXW2vustYfwfhToBpzexm02y29Z+pMx5mljTAVw\nBV5RfbXfyvReC/cba4wJGWP2+K+hx4wx3cLmbzfGfNcYs8Zf5kH/xwyMMZ82xmwwxvzMn/exMebS\naB5Ha6y1a4CFwElh+XoZYx73cxYZY241xqSEPbZ5/mtilzHmcX/6Ua2Axph+xpiXjTH7jTELgGFN\nnqMJxpg3jNeC/pEx5sKweU8ZY35njHnVbxl81y80G+afGHbf7caYbxljhvqtyN3DljvVf2+nNvPQ\nPwUsstbWhi0/w3+vV/j7/W/G7xERtl/+0xizA/i9P/0iY8xK/3PkHWNMQdj6hhhjnjNeD4FNxpib\nwub9yhjzpDHmz/72VhpjTiLBGa9F+A3/83Uv8H1/+peNMWv91/xLxphBYfc51xiz3n+OfxvBZrv6\nn18VxpjFxpjxYevebhq72ef4+32fMWaVMeYHxpgNDctaayuBD/B+7BGRJKLCVURcqwW+BvQGZgHn\nAQ1deufiteqNxGvB+zywN/zOxph+QAj4p7X2O23dqDFmFHA58MsW5s82xpQD5cBngLubLHKn/0X4\n7YYvXC04A/gwbL23GmP+2tLC1tpqa21mk8lXAVcCg4AMvIIw3HvG65b8jDFmSNj08cCKsPEV/rRW\nGWNm4bUU/6GZ2a2t86h51tp6YFXDfGvtFdbap463fX/Zk621C8MmXQw8BvQAnuXo1qkZrazq50B/\nYCKQD/yoyfzPAZ/w500Gwl9Dw/Ge7/7Al4DHjDEj2vtY2sL/En8KsCFs8pN4r78T8FolLwS+6M/7\nJfAPIBcYCjzQwqofBPYAecB/ANeFbbM78G+8H1f64L3OHvHfGw0+j/cDTy+gFPiZf9+ewGt4rV/9\n8V4vb/s/ZizC218Nvgg8aa093Ey+iYS16pvGVvvf473nX8D7TAg3HEgHhgA3G69L+X14Lda9gT8C\n/zDGpPnF8svAfGAg8Gngh8aYM8PWdxHwCN5z+TrejzENeR6OsEgLgjOA5Xj7/n+MMZcD38B7vvOA\n94EnAIwxA4BngG8BfYFdwLSGFRljRvuFZr9WttfwHu6Ft4//1sKPGbf52xgGnEvjaz7cR8CJzUwX\nkQSmwlVEnLLWvmetXWytPWyt3Qg8BDR8qazF63o71l/2Q2vtzrC7DwXeBh6x1rbr+E3gXuD71tqq\nFnK97ncVHopXJG0Nm/3/gBHAYLwvyS8bY4Y2XYcxZi5wKf6XfX+9P7PWXtLOrH+w1q7xWxpuxSu2\nwHt+ZuF9wSvAax19znjHoabjFV3lYespx2sBbZF/v3uAr/nHkzWd19o6c5rMa9M22+gta+3L1tr6\nlvZZU/5z9oa1tsZaux2vIDmzyWJ3WWtLrLW78IrBz4XNqwN+5t//NbxCrb377ng+NMYcwCvwX8J7\n/Td0oT0D+Ka19qC1thTvx5OGY4Rr8Qq4/n7r/rtNV2yMyQTOB37sL7McrxhucBGwylr7pP/+W4xX\nKIYXnc9Ya5f5LaJ/orFF+EJgg7X2Hr877H7//uAVJ1/wM2QAl+G9T5qTC1SEjc8Cqqy191tr66y1\nf+boH0oADgG/8PdLFfBl4B5r7VL/cTwIdME7xvh0INNa+2t/+XV4P8iEH2v9ht9L4rCf80iLq7X2\nemvtN1vIHg++6BeMDX+vtOO+m6y1/+c/Z1XATcBt1tp1/v7+GXC6MSYPr5hdbK193p/3G7wfRACw\n1q631uY2+Xxuan7Y/X+FVzBPaWa5y/wc5dbaLXg/SjRVgffaEZEkosJVRJwyxhQYY14x3kmQ9uMd\nH9rHn/0KXmvQA8B2Y8x9xpicsLtfAFi81pL2bPNS4LC19rnjLWutLQLexG958KctsNZW+q2j/wcs\nw+vyGL6NWcCjwIXW2o/bk68ZRWG3twDZxpge/hfOedbaWmvtXryW6wnASP/LYQ1e4d+gO0cXCc35\nBvCutXZZ0xltWGdlk3lt3WZbFLU20xhztmk8Qc1Sf9pAY8xfjDHb/NfWQzS+tppb7xa8VrkGu6y1\n1a3M7wjj8Qr7q/C6lDecyGsYkAnsaihKgLvwWsLA+/EkG3jf797a3LGx/fG6ujd9jA2GAWeEFz54\nReuAsGXCT/ZzEO/HCfBaOze28JieBab73Uw/AxRba1e2sOxejv5hYyBQ3GSZpvt+e3jXYv9x/LDJ\n4+iL10NhGDC8ybxv4j03x3uMQfBHv2Bs+JvTjvs2fV6HAfeHPU+78H68GYy3X44s7xf529qZNfz+\ndUAJTd5PxusK379Jtube+9049jAGEUlwKlxFxLWGwm+ktbY7XtdOA94ZJK21v7XWTgYm4XUNuyXs\nvvfgdQF83u9i2FazgdP846q24xXA3zPGPNPC8ml43ZVbYhsyAxhjZuJ1obzSWvtOO3K1JLz771Dg\noLW2actmc1k+5OjudCcS1m25BbOBK8KemynAPcaYhu7Jra3zqHn+l9AJbdhmW9jWxq21r9nGE9Q0\nnM33duAAMMF/bd1A2H7yNX1uw8/G28dvtWxpfofwW5H/CKzE65YL3pf1SqBnWFHS3Vo7xb/PNmvt\ndXhF5s14XXybtvpvx3uemj7GBkXAv5oUPjnW2m+0IXbR/2/v3oMkK8s7jv9+7C67yIDrZUQCyFJe\nRg1ykVXxUjqjAVdBMWrFJZEESx3jBS+pSNSo0dKUxrJ0TUVjEI0YlXUQMYpEpGQHJIaAi6uI7CBS\nSwHhIsqwDIoI++SP9wzbM/RMX6bnnLdPfz9VXdPd5/R5n+7nnJl5+rzve7TAMVH0DDhHqZvxSVr4\nbKuK9/yEhsc3KxVKjQ6a93j+vnCDpPfPex8PiYhvFMu2z1u2T7Q38VHdNfscT573We0VEVuV8vJA\nHopj+wB1pvH1K5SK1jnHU6ThBbdq7j4wP/+S9CQ9+Ew8gJqjcAVQtX0k3RkRM8U4v9fPLrB9tO31\nTpM13a10tm9Xw2ujWP//lMa0rW6zzVOVxjQeUdzOV+o6/Iai3b/07sltDlEqpr9fPH5kcXZvje1V\ntl+jNNbrgmL5kZLOlfT6iDi/84+jqZNtP6E42/wBSV8r2jqsuK0oxit+StIvtHuc5JckvdP2o4ux\nr29XOgu8mBOVuh3PfjZXKo0Lne3uvNg2L5C0l9PEL6uVzgreLemS+Y04TS4UtruaBVXpn9tD7EUv\nH7OPUvG3syjqmnX5fKvt/W0/UmmCmq81LFsl6X2297T9fKXJp87uMt52fETSm20/ojhLf6mkj9ne\np+j+/XjvnsDmVbb/qOjOPXvmac4Y0uJs8bclfdD2XrYPUxorPeubko4strWqeJ9H224sJBfyTUmP\ns/3G4nX72n5aw/IvKX1RsEFzuyfPd76kZxTd0KXU9X8vp0sxrbT9Z2o9lvE0SacUvyvsNLnPS50u\nQ3WJJNl+e3HMriyOmWZdVLu1utj27K3n/1vN2/6aFvv97Gsutf2uDpr5rKT3upgAz/bDbM92G/+W\n0ln044tcvVNprGonntXw+lMl/VrpS8v5JiT9vdOke49RGpv9AKdLkz1Fxe9kAIODwhVA1d4h6XW2\nZ5SKx8bCYa1SUTStNPPv9UrF2QOKb+hPLtY522lM3aKK8Xi3zN4k3SNppuhuK6Wzu5c5jT28WOmb\n/TcVy/aU9E9K3ehuU/rn/CUN3YFPVfqH7sue13VVkpxmqT2n9ccyx39IOlOpa94upQlSpHS27euS\ndioVq48qYpkt7v9Z6Z+7q5UmYTkrIr64WEMRcce8z+YPSl8s7Gy1zWKc3AlKY+WmlcYRvqzoFjjf\nQUpF9q/a/xjm2KzUVfY3tn+4wDrvVxrjeKfSGcBmRedmpa7gv1Aq0huvJ7pDqavkLUrd0V8TEdfN\n30CvRMSPJP1IuwvsE5WOge1K4wm/pt1dhZ8paWtx3JwlaTwimnXdfEPxmluVutw/MOFWsb+/UGlS\no5uVvgD6sFLB3irWO5QK+Y1Kx8GU5s4evUXSXpIuiTQ+d6Ht3KA0mdOLi8e/k/Rypcsu3aE0lvZ8\npXGtC23jv5XOOv+b0n53jdLZ3ii6FL9Y0rOUfn/8Smnip7a6A9v+ou1NLVa7VtLvGm5/3s62O7Bi\n3vZ/p90zlf+V517Hdca7Zx0/UNKDxj4vpBhP/C9KkybtVDq+jymW3ayU601Kn+F+SvuqJKn4Ym3G\ni0/OdLbS5GB3KHVJf0U0n7DrvcU61ysNF5nQ3Py/XNJ5EXF7u+8NQD04Yn5PEQCoF9s7lGYo3RwR\nb6g4nDlaxWb7UqWJZ748f1k/s/1hSb+IiDMqjOEWSa+MiGZnhDcofe4tL4Nk+zils4qrJb0gIn5o\n+yNKX3asiHSNzoFTfKHwmVb7rtPlZz4dEU0vG2X7J5I+WhRWaIPTzNCfi4ixqmNZKtvvkLQhIl5Y\nnGneKmljpIm2AAwQClcAyFhdC9cc9KpwxYPZfrbSJU8OijZngW547ZjSuOg7lM4Gf0LSOs6wDYZi\nCMIBki5TGsv6HaUvLj5baWAAKkdXYQAYMLZf26R74ZwuzUC3bG9WGuf91k6L1sIfK10e6A6ls9Yv\np2gdKKuVuubfJem7St35T680IgBZ4IwrAAAAACBrnHEFAAAAAGRtZdUBzGd7XNK4JK1Zs+aoxzxm\n/mXpUAe7du3SHnvwvUldkd/6Irf1RW7ri9zWF7mtr0HK7TXXXHN7RAy3Wi/rrsIjIyMxNTVVdRhY\nB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"text/plain": "<matplotlib.figure.Figure at 0x7fc80c80e290>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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jFV2GVHUMrpIkSVInnbPyJ0WXIFUlg6skSZLUBY8PPrnoEqSqY3CVJEmSOml3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\nRu3Z26CX6ut11Lr1GrJ3r55MyLrvu3O1ZktavGSJNm0eotO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L4ONCR8hNn0GhE8Q3e27o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"text/plain": "<matplotlib.figure.Figure at 0x7fc7d0d08350>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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f72v+EHBlkrcBdwBvatqvBc4FdtO7o/Nb1zCqJEmSJGmdGkrBW1U/AjbPaZum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\n",
"text/plain": "<matplotlib.figure.Figure at 0x7fc80c80e050>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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X4SicXZ7TD0TE21dVf0MH44gYApwH7AuMBw6NiPH1bZXUJcuB4zJzPDAR+GR5\n7p4I3JaZY4HbyvfSYHAs8EjN+zOAb2ZmM7AQmFaXVkld9y3gpszcDvg7ivPZa7IGlYgYDcwAJmTm\njsAQ4BC8JmtwuBT4QJtlHV2H9wXGlj8fA85fVeUNHYyB3YE/ZOafMnMZcCWwf53bJK1SZs7PzHvL\n31+g+ANsNMX5O7MsNhP4UH1aKHVdRDQBHwS+W74PYC/g6rKI57IGtIgYDuwJXASQmcsycxFekzU4\nDQXWiYihwLrAfLwmaxDIzNuB59os7ug6vD9wWRbuBDaKiC06q7/Rg/Fo4Mma93PLZdKgERFbA7sC\ndwGjMnN+ueopYFSdmiV1x38BJwCvl+9HAosyc3n53muzBroxwDPAJeUtAd+NiPXwmqxBJjPnAd8A\n/kIRiBcDs/GarMGro+twt3NgowdjaVCLiPWBa4DPZObzteuymFLeaeU1oEXEPwJ/y8zZ9W6L1AND\ngbcD52fmrsBLtBk27TVZg0F5/+X+FF/2vAVYjzcPTZUGpZ5ehxs9GM8Dtqx531Qukwa8iFiTIhRf\nnpk/Lhc/3ToMpHz9W73aJ3XRO4EpEfEExe0se1Hcq7lROYwPvDZr4JsLzM3Mu8r3V1MEZa/JGmz2\nBh7PzGcy81XgxxTXaa/JGqw6ug53Owc2ejD+DTC2nGlvLYrJBa6rc5ukVSrvwbwIeCQz/7Nm1XXA\nEeXvRwCz+rttUndk5r9nZlNmbk1xDf55Zh4G/AI4sCzmuawBLTOfAp6MiHHlovcBD+M1WYPPX4CJ\nEbFu+bdG67nsNVmDVUfX4euAqeXs1BOBxTVDrtsVRY9z44qI/SjubxsCXJyZp9a5SdIqRcS7gF8C\nD/LGfZlfoLjP+CrgrcCfgYMys+0kBNKAFBGTgM9l5j9GxDYUPcgjgPuAj2bm0nq2T+pMROxCMYHc\nWsCfgKMoOhi8JmtQiYhTgIMpnoBxHzCd4t5Lr8ka0CLiCmASsAnwNHAycC3tXIfLL37OpbhV4GXg\nqMy8p9P6Gz0YS5IkSZLUmUYfSi1JkiRJUqcMxpIkSZKkSjMYS5IkSZIqzWAsSZIkSao0g7EkSZIk\nqdIMxpIk9ZKIeC0i7o+IhyLipxGx0WrW892IGN/O8iMj4tyet7Tb7bk0Ih6PiE+U7z9d7uONEbFW\nuexdEfHNms+8rTwWL/Z3eyVJ6i6DsSRJveeVzNwlM3cEngM+uTqVZOb0zHy4d5vWY8dn5gXl74cB\nOwO/BvbtU8TxAAADUklEQVQpnxf5JeArrYUz84+ZuUv/N1OSpO4zGEuS1DfuAEa3vomI4yPiNxHx\nQEScUi5bLyJuiIjflj2wB5fLWyJiQvn7URHxWETcDbyzpr5NI+Kass7fRMQ7y+VfjoiLyzr+FBEz\naj4ztdz+byPiexGxQdkTvGa5fsPa950IYE1gXeBV4KPAzzLzuZ4fNkmS+t/QejdAkqRGExFDgPcB\nF5Xv3w+MBXanCJXXRcSewKbAXzPzg2W54W3q2QI4BXgHsBj4BXBfufpbwDcz8/8i4q3AzcD25brt\ngPcCGwCPRsT5wLbAF4F/yMxnI2JEZr4QES3AB4FrgUOAH2fmq6vYxXOBO4HfAb8CZgH7dOsgSZI0\ngBiMJUnqPetExP0UPcWPALeWy99f/rSG2vUpgvIvgbMi4gzg+sz8ZZv69gBaMvMZgIj4IUXABdgb\nGF+MYgZgw4hYv/z9hsxcCiyNiL8Bo4C9gB9l5rMANb273wVOoAjGRwH/uqqdzMzvAd8r23QScDaw\nb0RMBZ4EjsvM11dVjyRJA4VDqSVJ6j2vlPfVbkXRM9x6j3EAp5X3H++Smc2ZeVFmPga8HXgQ+GoZ\nMrtqDWBiTZ2jM7N1oqulNeVeo5MvwjPzV8DWETEJGJKZD3W1ARHxFmD3zLwWOA44GFhE0VsuSdKg\nYTCWJKmXZebLwAzguIgYSjHM+ejWHt2IGB0Rm5XB8uXM/D7wdYqQXOsu4D0RMbK87/cjNetuAT7d\n+iYiVjXR1c+Bj0TEyLL8iJp1lwE/AC7p5q5+BWgN8+sACbxOce+xJEmDhkOpJUnqA5l5X0Q8ABya\nmd+LiO2BO8qhzy9STFjVDHw9Il6nmMTqmDZ1zI+IL1NM5LUIuL9m9QzgvHIbQ4HbgU900p7fRcSp\nwP9GxGsUw7qPLFdfDnwVuKKr+xcRu5b13lsu+gFFz/eTwJldrUeSpIEgMrPebZAkSXUUEQcC+2fm\n4R2sv5TiHuirV6PuFzNz/VWXlCSpfuwxliSpwiLiHGBfYL9Oii0GvhIRm9Q8y3hV9b4NuAZ4uuet\nlCSpb9ljLEmSJEmqNCffkiRJkiRVmsFYkiRJklRpBmNJkiRJUqUZjCVJkiRJlWYwliRJkiRVmsFY\nkiRJklRp/x+7XHfqw+bTnwAAAABJRU5ErkJggg==\n",
"text/plain": "<matplotlib.figure.Figure at 0x7fc7d0d084d0>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "trappy.LinePlot(\n trace.ftrace,\n signals=[\n 'sched_load_avg_cpu:util_avg',\n 'sched_load_avg_cpu:last',\n 'sched_load_avg_cpu:util_est',\n ],\n pivot='cpu',\n filters={'cpu': [2]},\n drawstyle='steps-pre',\n scatter=False,\n sync_zoom=True,\n group='Periodic',\n marker = '+').view()",
"execution_count": 21,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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KAKiursb8+fOxaNEi5OTkoKqqyv3c6upq5OTkICcnB/v373fX2+12FBQEX/1SUZRwwzON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\n",
"text/plain": "<matplotlib.figure.Figure at 0x7fc7fd778950>"
},
"metadata": {}
}
]
},
{
"metadata": {
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "markdown",
"source": "# Render Thread simulation"
},
{
"metadata": {
"collapsed": true,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "test_id = 'render'",
"execution_count": 22,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "rtapp = RTA(target, test_id, calibration=te.calibration())\nrtapp.conf(\n kind='profile',\n params={\n 'render': Periodic(\n period_ms=16, # period\n duty_cycle_pct=62, # duty cycle\n duration_s=5, # duration\n cpus=[2]\n ).get(),\n },\n run_dir=target.working_directory\n);\ntasks = ['render']",
"execution_count": 23,
"outputs": [
{
"output_type": "stream",
"text": "03:36:30 INFO : Setup new workload render\n03:36:30 INFO : Workload duration defined by longest task\n03:36:30 INFO : Default policy: SCHED_OTHER\n03:36:30 INFO : ------------------------\n03:36:30 INFO : task [render], sched: using default policy\n03:36:30 INFO : | calibration CPU: 1\n03:36:30 INFO : | loops count: 1\n03:36:30 INFO : | CPUs affinity: [2]\n03:36:30 INFO : + phase_000001: duration 5.000000 [s] (312 loops)\n03:36:30 INFO : | period 16000 [us], duty_cycle 62 %\n03:36:30 INFO : | run_time 9920 [us], sleep_time 6080 [us]\n",
"name": "stderr"
}
]
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "tracefile, trace = run(rtapp, use_util_est=USE_UTIL_EST)\n# tracefile, trace = run(None, use_util_est=USE_UTIL_EST, trace_name=test_id)",
"execution_count": 24,
"outputs": [
{
"output_type": "stream",
"text": "03:36:30 INFO : #### Set [schedutil] CPUFreq governor\n03:36:36 INFO : #### Enable Utilization estimation\n03:36:36 INFO : #### Setup FTrace\n03:36:40 INFO : #### Start RTApp execution\n03:36:40 INFO : Workload execution START:\n03:36:40 INFO : /root/devlib-target/bin/rt-app /root/devlib-target/render_00.json 2>&1\n03:36:46 INFO : #### Stop FTrace\n03:36:47 INFO : #### Save FTrace: /data/Code/lisa/results/OSPM_EstimatedUtilization/trace_render.dat\n03:36:50 INFO : #### Save platform description: /data/Code/lisa/results/OSPM_EstimatedUtilization/platform.json\n03:36:50 INFO : #### Parse trace\n03:36:51 INFO : Platform clusters verified to be Frequency coherent\n",
"name": "stderr"
}
]
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "plot_signals(trace, tasks, cpus=2, additional_signals=[], x_min=0, x_max=None)",
"execution_count": 25,
"outputs": [
{
"output_type": "stream",
"text": "03:36:51 INFO : Plotting 4426: render, rt-app...\n03:36:51 WARNING : Event [sched_overutilized] not found, plot DISABLED!\n03:36:51 INFO : CPU02 average frequency: 0.000 GHz\n",
"name": "stderr"
},
{
"output_type": "display_data",
"data": {
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S6/h3ar4zYoxNw9eDwOAQwtdCcnOpb5Bcn/vGJratTanhr68Dl4UQCkJyd99dQwiHbcLi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\nAAAAALQ5dBVG4xm3EQAAAIDmQ8QBAAAAAEg0AlcAAAAAQKI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fV+GBfh9F3Roj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\n",
"text/plain": "<matplotlib.figure.Figure at 0x7fc80cc9ab10>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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"text/plain": "<matplotlib.figure.Figure at 0x7fc80cc9a190>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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oYCzw6fLcPQW4MzNHAneW76X+4ARgVs37s4HzMrMRWAhM7pVWSR33beDWzNwR\n+DuK89lrsvqViBgOTAXGZOYuwADgCLwmq3+4AvhQi2VtXYcPBEaWPx8Hvruqyus6GAN7AX/MzCcy\ncxlwDXBwL7dJWqXMnJ+Z95e/v0TxB9hwivN3WllsGvDh3mmh1HER0QAcBHy/fB/AvsB1ZRHPZfVp\nETEY2Ae4FCAzl2XmIrwmq38aCKwXEQOB9YH5eE1WP5CZdwEvtFjc1nX4YODKLNwDbBIRW7VXf70H\n4+HA0zXv55bLpH4jIrYD9gDuBYZl5vxy1TPAsF5qltQZ/wWcDLxZvh8KLMrM5eV7r83q60YAzwGX\nl7cEfD8iNsBrsvqZzJwHfAv4C0UgXgzMxGuy+q+2rsOdzoH1Hoylfi0iNgSuBz6XmS/WrstiSnmn\nlVefFhH/CPwtM2f2dlukNTAQeBfw3czcA3iFFsOmvSarPyjvvzyY4suerYENePvQVKlfWtPrcL0H\n43nANjXvG8plUp8XEWtThOKrMvOn5eJnm4eBlK9/6632SR30HmBiRDxFcTvLvhT3am5SDuMDr83q\n++YCczPz3vL9dRRB2Wuy+pv9gCcz87nMfB34KcV12muy+qu2rsOdzoH1Hox/B4wsZ9pbh2JygRt7\nuU3SKpX3YF4KzMrM/6xZdSNwTPn7McD0nm6b1BmZ+e+Z2ZCZ21Fcg3+ZmUcBvwIOLYt5LqtPy8xn\ngKcjYlS56IPAY3hNVv/zF2BsRKxf/q3RfC57TVZ/1dZ1+EZgUjk79Vhgcc2Q61ZF0eNcvyJiAsX9\nbQOAyzLzjF5ukrRKEfFe4NfAI7x1X+aXKO4zvhZ4B/Bn4LDMbDkJgdQnRcQ44AuZ+Y8RsT1FD/IQ\n4AHgY5m5tDfbJ7UnInanmEBuHeAJ4DiKDgavyepXIuJ04HCKJ2A8AEyhuPfSa7L6tIi4GhgHbAY8\nC5wG3EAr1+Hyi58LKW4VeBU4LjNntFt/vQdjSZIkSZLaU+9DqSVJkiRJapfBWJIkSZJUaQZjSZIk\nSVKlGYwlSZIkSZVmMJYkSZIkVZrBWJKkLhIRb0TEgxHxaET8PCI2Wc16vh8Ro1tZfmxEXLjmLe10\ne66IiCcj4pPl+8+W+3hLRKxTLntvRJxX85l3lsfi5Z5uryRJnWUwliSp67yWmbtn5i7AC8CnV6eS\nzJySmY91bdPW2EmZeXH5+1HAbsBvgQPK50V+Bfhac+HM/FNm7t7zzZQkqfMMxpIkdY+7geHNbyLi\npIj4XUTUQV6EAAADKklEQVQ8HBGnl8s2iIibI+Khsgf28HJ5U0SMKX8/LiIej4j7gPfU1Ld5RFxf\n1vm7iHhPufyrEXFZWccTETG15jOTyu0/FBE/iIiNyp7gtcv1G9e+b0cAawPrA68DHwN+kZkvrPlh\nkySp5w3s7QZIklRvImIA8EHg0vL9/sBIYC+KUHljROwDbA78NTMPKssNblHPVsDpwLuBxcCvgAfK\n1d8GzsvM/4uIdwC3ATuV63YEPgBsBMyOiO8COwBfBv4hM5+PiCGZ+VJENAEHATcARwA/zczXV7GL\nFwL3AL8HfgNMBw7o1EGSJKkPMRhLktR11ouIByl6imcBd5TL9y9/mkPthhRB+dfAuRFxNnBTZv66\nRX17A02Z+RxARPyYIuAC7AeMLkYxA7BxRGxY/n5zZi4FlkbE34BhwL7ATzLzeYCa3t3vAydTBOPj\ngH9d1U5m5g+AH5RtOhU4HzgwIiYBTwMnZuabq6pHkqS+wqHUkiR1ndfK+2q3pegZbr7HOIAzy/uP\nd8/Mxsy8NDMfB94FPAJ8vQyZHbUWMLamzuGZ2TzR1dKacm/QzhfhmfkbYLuIGAcMyMxHO9qAiNga\n2CszbwBOBA4HFlH0lkuS1G8YjCVJ6mKZ+SowFTgxIgZSDHM+vrlHNyKGR8QWZbB8NTN/CHyTIiTX\nuhd4f0QMLe/7/WjNutuBzza/iYhVTXT1S+CjETG0LD+kZt2VwI+Ayzu5q18DmsP8ekACb1LceyxJ\nUr/hUGpJkrpBZj4QEQ8DR2bmDyJiJ+DucujzyxQTVjUC34yINykmsfpUizrmR8RXKSbyWgQ8WLN6\nKnBRuY2BwF3AJ9tpz+8j4gzgfyPiDYph3ceWq68Cvg5c3dH9i4g9ynrvLxf9iKLn+2ngnI7WI0lS\nXxCZ2dttkCRJvSgiDgUOzsyj21h/BcU90NetRt0vZ+aGqy4pSVLvscdYkqQKi4gLgAOBCe0UWwx8\nLSI2q3mW8arqfSdwPfDsmrdSkqTuZY+xJEmSJKnSnHxLkiRJklRpBmNJkiRJUqUZjCVJkiRJlWYw\nliRJkiRVmsFYkiRJklRpBmNJkiRJUqX9fy5fdizRyXBFAAAAAElFTkSuQmCC\n",
"text/plain": "<matplotlib.figure.Figure at 0x7fc80cceffd0>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "trappy.LinePlot(\n trace.ftrace,\n signals=[\n 'sched_load_avg_cpu:util_avg',\n 'sched_load_avg_cpu:last',\n 'sched_load_avg_cpu:util_est',\n ],\n pivot='cpu',\n filters={'cpu': [2]},\n drawstyle='steps-pre',\n scatter=False,\n sync_zoom=True,\n group='Periodic',\n marker = '+').view()",
"execution_count": 26,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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6dbqsVK9t0rt/4JnYM/N8M6FFC9/9Xef/zz2fu28TWrRw0Tec/2/Y4LxmlP/I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jNmjDIyMnT77bfLNE19+eWXysrK8o6zc+dOjRo1SpK0YsUKnXfeeRo9erTuvPNOXXPNNSHNpzk8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\n9HucTicoCstTUbT+A9aMaSRtKdqWAAAAAElFTkSuQmCC\n",
"text/plain": "<matplotlib.figure.Figure at 0x7fc80c8c6d90>"
},
"metadata": {}
}
]
},
{
"metadata": {
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "markdown",
"source": "# Jumper task (20%)"
},
{
"metadata": {
"collapsed": true,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "test_id = 'jumper'",
"execution_count": 27,
"outputs": []
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "rtapp = RTA(target, test_id, calibration=te.calibration())\nrtapp.conf(\n kind='profile',\n loadref='big',\n params={\n # 7. Jumping puppet\n 'rt_l1' : Periodic(\n period_ms=20, # period\n duty_cycle_pct=10, # duty cycle\n duration_s=5, # duration [s]\n cpus=[1],\n sched={'policy': 'FIFO'}\n ).get(),\n 'rt_l2' : Periodic(\n period_ms=20, # period\n duty_cycle_pct=10, # duty cycle\n duration_s=5, # duration [s]\n cpus=[2],\n sched={'policy': 'FIFO'},\n delay_s = 0.3,\n ).get(),\n 'jumper' : Periodic(\n period_ms=20, # period\n duty_cycle_pct=20, # duty cycle\n duration_s=5, # duration [s]\n cpus='1,2'\n ).get(),\n },\n run_dir=target.working_directory\n);\ntasks = ['jumper']",
"execution_count": 28,
"outputs": [
{
"output_type": "stream",
"text": "03:36:52 INFO : Setup new workload jumper\n03:36:53 INFO : Workload duration defined by longest task\n03:36:53 INFO : Default policy: SCHED_OTHER\n03:36:53 INFO : ------------------------\n03:36:53 INFO : task [jumper], sched: using default policy\n03:36:53 INFO : | calibration CPU: 1\n03:36:53 INFO : | loops count: 1\n03:36:53 INFO : | CPUs affinity: 1,2\n03:36:53 INFO : + phase_000001: duration 5.000000 [s] (250 loops)\n03:36:53 INFO : | period 20000 [us], duty_cycle 20 %\n03:36:53 INFO : | run_time 4000 [us], sleep_time 16000 [us]\n03:36:53 INFO : ------------------------\n03:36:53 INFO : task [rt_l1], sched: {'policy': 'FIFO'}\n03:36:53 INFO : | calibration CPU: 1\n03:36:53 INFO : | loops count: 1\n03:36:53 INFO : | CPUs affinity: [1]\n03:36:53 INFO : + phase_000001: duration 5.000000 [s] (250 loops)\n03:36:53 INFO : | period 20000 [us], duty_cycle 10 %\n03:36:53 INFO : | run_time 2000 [us], sleep_time 18000 [us]\n03:36:53 INFO : ------------------------\n03:36:53 INFO : task [rt_l2], sched: {'policy': 'FIFO'}\n03:36:53 INFO : | start delay: 0.300000 [s]\n03:36:53 INFO : | calibration CPU: 1\n03:36:53 INFO : | loops count: 1\n03:36:53 INFO : | CPUs affinity: [2]\n03:36:53 INFO : + phase_000001: duration 5.000000 [s] (250 loops)\n03:36:53 INFO : | period 20000 [us], duty_cycle 10 %\n03:36:53 INFO : | run_time 2000 [us], sleep_time 18000 [us]\n",
"name": "stderr"
}
]
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "tracefile, trace = run(rtapp, use_util_est=USE_UTIL_EST)\n# tracefile, trace = run(None, use_util_est=USE_UTIL_EST, trace_name=test_id)",
"execution_count": 29,
"outputs": [
{
"output_type": "stream",
"text": "03:36:53 INFO : #### Set [schedutil] CPUFreq governor\n03:36:58 INFO : #### Enable Utilization estimation\n03:36:58 INFO : #### Setup FTrace\n03:37:03 INFO : #### Start RTApp execution\n03:37:03 INFO : Workload execution START:\n03:37:03 INFO : /root/devlib-target/bin/rt-app /root/devlib-target/jumper_00.json 2>&1\n03:37:09 INFO : #### Stop FTrace\n03:37:10 INFO : #### Save FTrace: /data/Code/lisa/results/OSPM_EstimatedUtilization/trace_jumper.dat\n03:37:13 INFO : #### Save platform description: /data/Code/lisa/results/OSPM_EstimatedUtilization/platform.json\n03:37:13 INFO : #### Parse trace\n03:37:15 INFO : Platform clusters verified to be Frequency coherent\n",
"name": "stderr"
}
]
},
{
"metadata": {
"scrolled": false,
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "cpus = [1]\nplot_signals(trace, tasks, cpus, additional_signals=[], x_min=0, x_max=None)",
"execution_count": 30,
"outputs": [
{
"output_type": "stream",
"text": "03:37:15 INFO : Plotting 4497: rt-app, jumper...\n03:37:15 WARNING : Event [sched_overutilized] not found, plot DISABLED!\n03:37:15 INFO : CPU01 average frequency: 0.000 GHz\n",
"name": "stderr"
},
{
"output_type": "display_data",
"data": {
"image/png": 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0f952N3BWSmlik+2eRnZEliFDhoweN25cu+pTsSxfvpy+ffuWugx1AMeyPDiO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\n291QqlgPeiL6nNbyOnq9Xa7DMF2Lu4NnGYx9Ddz0hi5GuJzs6s7rc9O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Ye/V9zVadMQv2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\n9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"text/plain": "<matplotlib.figure.Figure at 0x7fc80cd7f6d0>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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LmzYNrY9h9DlM7eLbsLDAwfn5vmNcXFxsu5b99jk1OwvAwfl5NiwsLJWX27fq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\nJfCezLxjwqFpQBHxPuBs4IT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"text/plain": "<matplotlib.figure.Figure at 0x7fc80cd7f690>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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BnJ2ZjcBCYFKPtErquO8Dt2TmjsDfUJzPXpPVq0TEYGAKMCIzdwHWBQ7Fa7J6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\nVHSjkcHvtgAAAABJRU5ErkJggg==\n",
"text/plain": "<matplotlib.figure.Figure at 0x7fc80cc18c90>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "trappy.LinePlot(\n trace.ftrace,\n signals=[\n 'sched_load_avg_cpu:util_avg',\n 'sched_load_avg_cpu:last',\n 'sched_load_avg_cpu:util_est',\n ],\n pivot='cpu',\n filters={'cpu': [2]},\n drawstyle='steps-pre',\n scatter=False,\n sync_zoom=True,\n group='Periodic',\n marker = '+').view()",
"execution_count": 31,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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HPNuAc0i2kdi+2Ry5vLS0ceMAAAAAgFog2UZiO6qLJMno90l4efPmLgQDAAAA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\nWe8/fzEEy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VH333+/DMPQf//7X6WlpXna7N+/X6mpqZKkNWvWqEuXLurZs6cmTpyokSNH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\neyoE1/8DvJsDR+xMUloAAAAASUVORK5CYII=\n",
"text/plain": "<matplotlib.figure.Figure at 0x7fc80cd7f4d0>"
},
"metadata": {}
}
]
},
{
"metadata": {
"run_control": {
"frozen": false,
"read_only": false
}
},
"cell_type": "markdown",
"source": "# Interactive analysis"
},
{
"metadata": {
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "markdown",
"source": "## Trace Visualization"
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "# NOTE: The interactive trace visualization is available only if you run\n# the workload to generate a new trace-file\ntrappy.plotter.plot_trace(trace.ftrace)#, execnames=['rt_l1', 'rt_l2', 'jumper'])",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "markdown",
"source": "## Interactive plots"
},
{
"metadata": {
"collapsed": false,
"trusted": true,
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "code",
"source": "trappy.ILinePlot(\n trace.ftrace,\n signals=[\n 'sched_load_avg_task:util_avg',\n# 'sched_load_avg_task:ewma',\n# 'sched_load_avg_task:last',\n 'sched_load_avg_task:util_est'\n ],\n pivot='pid',\n filters={'comm': tasks},\n drawstyle='steps-post',\n sync_zoom=True,\n group='Periodic',\n marker = '+').view()\n\ntrappy.ILinePlot(\n trace.ftrace,\n signals=[\n 'sched_load_avg_cpu:util_avg',\n# 'sched_load_avg_cpu:last',\n 'sched_load_avg_cpu:util_est',\n ],\n pivot='cpu',\n filters={'cpu': cpus},\n drawstyle='steps-pre',\n scatter=False,\n sync_zoom=True,\n group='Periodic',\n marker = '+').view()",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"run_control": {
"read_only": false,
"frozen": false
}
},
"cell_type": "markdown",
"source": "## Kernelshark"
},
{
"metadata": {
"collapsed": false,
"run_control": {
"frozen": false,
"read_only": false
},
"trusted": true
},
"cell_type": "code",
"source": "subprocess.Popen([\"kernelshark\", tracefile]);",
"execution_count": 34,
"outputs": []
}
],
"metadata": {
"kernelspec": {
"name": "python2",
"display_name": "Python 2",
"language": "python"
},
"language_info": {
"mimetype": "text/x-python",
"nbconvert_exporter": "python",
"name": "python",
"pygments_lexer": "ipython2",
"version": "2.7.12",
"file_extension": ".py",
"codemirror_mode": {
"version": 2,
"name": "ipython"
}
},
"gist": {
"id": "e1cfd776d310365528010563fb24b06a",
"data": {
"description": "OSPM Estimate_Utilization (Without UtilEst)",
"public": false
}
},
"toc": {
"threshold": 4,
"number_sections": true,
"toc_cell": false,
"toc_window_display": false,
"toc_section_display": "block",
"sideBar": true,
"navigate_menu": true,
"moveMenuLeft": true,
"colors": {
"hover_highlight": "#DAA520",
"selected_highlight": "#FFD700",
"running_highlight": "#FF0000"
},
"nav_menu": {
"width": "252px",
"height": "367px"
}
},
"_draft": {
"nbviewer_url": "https://gist.github.com/e1cfd776d310365528010563fb24b06a"
},
"hide_input": false
},
"nbformat": 4,
"nbformat_minor": 0
}
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