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LKML Estimate_Utilization (With UtilEst)
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{
"cells": [
{
"metadata": {
"run_control": {
"frozen": false,
"read_only": false
}
},
"cell_type": "markdown",
"source": "Report available at this link:\n\nhttps://docs.google.com/document/d/1f2NpnYUS0ci_sLn4i2IY6ZKrRVOqRNnktI9xnt4yK6w/edit"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Results using UTIL_EST"
},
{
"metadata": {
"collapsed": true,
"trusted": true
},
"cell_type": "code",
"source": "USE_UTIL_EST = True",
"execution_count": 1,
"outputs": []
},
{
"metadata": {},
"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": {
"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": {
"run_control": {
"frozen": false,
"read_only": false,
"marked": false
},
"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
},
"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\" : '10.1.211.10',\n \"username\" : 'root',\n \"password\" : '',\n\n # Comment the following line to force rt-app calibration on your target\n \"rtapp-calib\" : {\n \"0\": 584, \"1\": 262, \"2\": 262, \"3\": 584, \"4\": 584, \"5\": 584 \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": {
"run_control": {
"frozen": false,
"read_only": false
},
"trusted": true,
"scrolled": false
},
"cell_type": "code",
"source": "te = TestEnv(my_conf, force_new=True)\ntarget = te.target",
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"text": "10:44:10 INFO : Using base path: /data/Code/lisa\n10:44:10 INFO : Loading custom (inline) target configuration\n10:44:10 WARNING : Wipe previous contents of the results folder:\n10:44:10 WARNING : /data/Code/lisa/results/OSPM_EstimatedUtilization\n10:44:10 INFO : Devlib modules to load: ['bl', 'cpufreq']\n10:44:10 INFO : Connecting linux target:\n10:44:10 INFO : username : root\n10:44:10 INFO : host : 10.1.211.10\n10:44:10 INFO : password : \n10:44:10 INFO : Connection settings:\n10:44:10 INFO : {'username': 'root', 'host': '10.1.211.10', 'password': ''}\n10:44:13 INFO : Initializing target workdir:\n10:44:13 INFO : /root/devlib-target\n10:44:18 INFO : Topology:\n10:44:18 INFO : [[0, 3, 4, 5], [1, 2]]\n10:44:20 INFO : Loading default EM:\n10:44:20 INFO : /data/Code/lisa/libs/utils/platforms/juno.json\n10:44:24 INFO : Enabled tracepoints:\n10:44:24 INFO : cpu_idle\n10:44:24 INFO : cpu_frequency\n10:44:24 INFO : sched_load_avg_task\n10:44:24 INFO : sched_load_avg_cpu\n10:44:24 INFO : sched_switch\n10:44:24 INFO : sched_wakeup\n10:44:24 WARNING : Using configuration provided RTApp calibration\n10:44:24 INFO : Using RT-App calibration values:\n10:44:24 INFO : {\"0\": 584, \"1\": 262, \"2\": 262, \"3\": 584, \"4\": 584, \"5\": 584}\n10:44:24 INFO : HWMON module not enabled\n10:44:24 WARNING : Energy sampling disabled by configuration\n10:44:24 INFO : Set results folder to:\n10:44:24 INFO : /data/Code/lisa/results/OSPM_EstimatedUtilization\n10:44:24 INFO : Experiment results available also in:\n10:44:24 INFO : /data/Code/lisa/results_latest\n",
"name": "stderr"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Periodic (60%, 300ms) "
},
{
"metadata": {
"collapsed": true,
"run_control": {
"marked": false
},
"trusted": true
},
"cell_type": "code",
"source": "test_id = 'p20_100'\ntasks = ['task_p20_100']",
"execution_count": 7,
"outputs": []
},
{
"metadata": {
"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": "10:44:24 INFO : Setup new workload p20_100\n10:44:24 INFO : Workload duration defined by longest task\n10:44:24 INFO : Default policy: SCHED_OTHER\n10:44:24 INFO : ------------------------\n10:44:24 INFO : task [task_p20_100], sched: using default policy\n10:44:24 INFO : | loops count: 1\n10:44:24 INFO : | CPUs affinity: 2\n10:44:24 INFO : + phase_000001: duration 5.000000 [s] (16 loops)\n10:44:24 INFO : | period 300000 [us], duty_cycle 60 %\n10:44:24 INFO : | run_time 180000 [us], sleep_time 120000 [us]\n",
"name": "stderr"
}
]
},
{
"metadata": {
"run_control": {
"marked": 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": "10:44:24 INFO : #### Set [schedutil] CPUFreq governor\n10:44:30 INFO : #### Enable Utilization estimation\n10:44:30 INFO : #### Setup FTrace\n10:44:34 INFO : #### Start RTApp execution\n10:44:34 INFO : Workload execution START:\n10:44:34 INFO : /root/devlib-target/bin/rt-app /root/devlib-target/p20_100_00.json 2>&1\n10:44:39 INFO : #### Stop FTrace\n10:44:40 INFO : #### Save FTrace: /data/Code/lisa/results/OSPM_EstimatedUtilization/trace_p20_100.dat\n10:44:43 INFO : #### Save platform description: /data/Code/lisa/results/OSPM_EstimatedUtilization/platform.json\n10:44:43 INFO : #### Parse trace\n",
"name": "stderr"
}
]
},
{
"metadata": {
"scrolled": false,
"run_control": {
"marked": 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": "10:44:44 INFO : Plotting [2556:task_p20_100]...\n10:44:45 INFO : CPU02 average frequency: 0.885 GHz\n",
"name": "stderr"
},
{
"output_type": "display_data",
"data": {
"image/png": 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/J/arcf2DpgE5Q4M/nihBGF5ToJ7M6/FgQdlTAIDZF3VjPc94qShS5ZTLzRzD\nF8z2F1R5yR/if3XYbi2c+tn47jdUdovhoGlmnpwffA+oL1Nd1E08wbQnjZp4qd4c/rQ3qws27iwz\nW4PtLurjluvN4cT+3Jh1jdYYfnk6gJKN6vYQw7rPA50t1aPP0JvDyd43VTn983pz+FN9EDj6IZCd\nb+bQjdYGVeYMM3Pc9+EPVGni8kFE3ZCAZ9/UU9RWqUmCymHY7KhOPvidKidfpjdHJKQEVlprL06K\nc+WirVFN/pGSYeYyGkDnWKAZBq49CnSOTV7wdb05/KkrU8fXlWreTMcAsPVZVU7/vJnd+T6w3nsm\njuHzeoCi/6rbOQbO6FpcqMqRS8ycc+B96ztjmtMcl5p9+GdV5hvYBdxePmjejVpjOLKXh5p5td4c\nTuzPlbHn6s1BFGWsuJI2u19QaxUenJgAra0drarykNILGJeAXwTeDlX2Hhb/FsVia+29Uaeb2VIt\nZecJ5uxr9WZxUvSqKk2s+O+1xgafc5feHE7WWWstLzFwDcPWejV5T+ZAYPhC3WlOZo+Rm3eTmX+7\nm55U5Zk/1pvDH6/HZ2jJ5Xqz+FNVDLQ3AWOXmXnBaZu1nvao0/XmcGJXDBfeojeHP40ngOM71bq8\nAyfrTkMUVQZ+E9GpwtWilvIdf/Y1eoOE4vguVeaNN7PVJpj976hyVpwnZQI6v+BNXIYEULOSetrU\nOnwmnpxX7AFqDqlxaFkDdKc52b7/qXLEIr05nFTsVmW8x3WHwu4mPHi63hxOdljdhE29WGeP+zZx\nXd6aQ6rMGWbmd4Y9Gd2Yc/Tm8MfrAQ6vVRfqTFyix9MONBxTt02cs8HuJmziZGpE3WTgWRqdChrq\nqjG3+hVUIxu9+xo4PqSro+tVaWKrTSg+Pkk5O/77ri9TZb8x8d93KOxWkbN/qjOFs5INqhy2QG8O\nfxoq1MRCfUcDAw2cFXz3fwHpBRZ908xlZt611oQ2sdWmo03N6ipcZk5YdnSDmhF3wkVmXpRYt0KV\nps4U/bq1bNVUA1uDSzYC3nZVQTRRVbEqz7zdzIsS71jDgkztZk3UDay4kha1laUAgEPpEzUnCdHO\nF1WZM0xvjki0NwMbHlW3493VtPYocGKfGldr4hqGAFBtnYSM/5TeHE42WhXr8efrzeGPva7xcAMr\n1YBa+xYApn5Obw4n7U2qHDJTbw5/WutVaWI2AKjco0pTJ5+xL9iNOUtvDiciSVX4Taz0f/S0Ks+5\nU28OJ5tRMgnvAAAgAElEQVStdZf7GdjSD6hKPwDkGbi2LFE3seJKWhxe+VcAQPt4Q086fHk61Bqk\nQ2Yn5niRNuvkeIKGyV/s8a25BfHfdyjaW4BNTwAZeUD2YN1p/DuxT5WZA/Xm8MdurS4wsNIvJbDy\nHnU7z8D3X1WxalkafSaQkq47zcl2/keVJi4hBACrf63K/Nl6c/jTXKNev35jgYxc3WlOVrwakB5z\nJ6Ozu4APMPT7dn8hkJQCTLpEd5KTHd+lvjMmXmJmLxOibuK7mrRIrVZXy4fOMHB8TVd2V01Pq94c\nkbJbW0cuif++7dlwpxs6q2a9avlH31F6czipKwOaKtXMlSlputOcrPqgKk2sPNgTkqX3MXOJI7s1\neIiBrx0AlFkTM5nYTRgAWmpVmW3gEkf234WJF0yAzjGQ4y/Qm8Ofljrrgs5ZQJaBF+taaoHybbpT\nOLPHzY84TW8OohhhiyvFXXNjPWY2vItDSfkYOMzQrja+aqy1+M75md4ckbLXEtTR4mqfIPUysNUB\nUC0jADD7K3pzOLEr/n1GaI3hV3O1mvRryGwgs7/uNCdra1Tlgpv15nBid7OecKHeHE6ObQMy+gO5\nBo5N72gDGivUBR0TW5WaKlU5/Qt6czixJywz8YLTwTWqTM/Rm8NJk5pUEmcb2o252poUbGwCNAoQ\nRYAVV4q7kn1bAAANyQaOrfFnzW9U2auv3hyRkBIoek2dgOqYkdblVieXqZnx33co7GObmqU3h5MD\nK1U56xqtMfyyu/P1NrDFC1ATCwFAarbeHE7WPKBKE9979cdUy01rne4k/m19RpUuA9duBYDVBn+u\neD3A9n9ZPxg4sZD0qHLRt/TmcPLeb1WZaeAM7wDw3oOqdBv6nUvUTQZeqqSerqOtBQDQPudrmpOE\nKCVdrX86cKruJOGrPapaJpI1jKHb8ybQUA5Axn/foWqsBCCAcefpTuKfvX5rioETW7Wrv2PMvV5v\nDie1R1VpYmu6lEBrAzBgCtB3pO40J2uxKqymLmFVZ3XxX/wdvTmcNFcDab3N7K5pd6GfeZWZy3+9\nac3CbGL3fqCzYj3VwLHfUgIdLcCIxWaOrSaKAgM/tain87yluti43AaO2euqrlSNt8kda+a098HY\nswuef3/89111QJWmTgBSfVB1Zc4eYuYJHKAmAJl7o5njW9++Q5XJBmZrawK2/EPdNnGdxT1vAG31\nZlZaAaDwXlX2Ga43h5PCn6vSxBbNY9uA4zvVxU4TvzPee0iVueP05nCSZLWn5I3Xm8OfjjZrMr/+\nZlastz2nShPXNSaKEra4Utx5ktSJ5ISFBk4M0VXJJlWa+CUaio2Pq1JHl7p9b6nS1PVb7fGtc6/T\nm8PJ3rfUhYfkVN1J/EtJVy35gw1cLqW9WZWmjjFstsbJLfi63hxOpNVLosDAJZgAtbZs/mwzK67N\n1ao0dQ3NFutzz8ThBy11ncunmVgxrLN6cZg4ph/oHH87P0F6sxFFwNBmBuqpGutrMLVlI4qSC5Cc\nYuj4JF/2zJXTDF0HMhh7ooZRS+O/731vq9KdEf99h8JeQ9PUpXrs2SGnXKY3hz9SAjWHgeELzWyt\n9rSpctB0vTmc2CeYOsadh6LmsGqRM/GiidejumsOnac7iX+tDao0tTW9rlT15DCx0r/ndVWamA0A\nOqyVBRZ+Q28OJ40VquzVT28Oohgy8IyDerLirasBAC0pvTUnCdH/rJkDTRxjGIyUaobG3HGaJmZK\nBebfbObJLwC8Y63xaeIamr5MXMvw4Bp1kmRXEE2z+leqNPXY2p8rOsaeB1NVDJRu6pyV2TTr/6JK\nY4/tXao0MV9bI7Djhc4hJKaxx98u/q7eHE7sLuomHlug83PP1EnLiKKAXYVJi+TF39YdITSpWepL\noN9o3UnCV1GklmXQMcav6DW17q2JS1XYkt0AhJ71bYORElh5j+4UzuyeCIu+qTeHE7tCPeVyvTmc\npPVWs5Ka2OJqH1tTlxGy883/qt4cTty9gNTewKAZupOczJ5QbdaX9eZwsvdN3QmCsMYsm9yFfvhC\nc2fxJ4oCtrhSXDVuel53hNB5vcCJ/WoslYmTbATTYZ2k6Fh/1l4qZepn47/vULTUWWuQzjJzLJXd\n8tBnpJn57OVITF0S4sR+NYGKiZNaeT2qtXrILN1J/Ct6TZV9DO3qWmMNfzBxmSMpgcp96jvDxC70\nHdbY7/4T9eZwsv8dVaYbuvRc5V7Vg8nECd887aoL/WADL5gQRZGBn6zUk/Wp3QkA6D/C0C9OX0X/\nBSAB6dWdJDL2rL46x5iaOqlV2UeqNLXiZZth6ORCx3epMmeY3hz+NBwHDr0HtDXoTuLfFqvSn2Ro\nb4Qj61TZ38C/Xa8H2PyU9YOBFxOLVwGttQZ3of+1Kk2dd8CVqtb9TjPwosSJ/cDxHQnQhT4BhzUR\nhYEVV4orCYGtabORN3iE7ijBtdar8jRD1woMZv2jqszIi+9+vV6zu7n6WmDo7It25UYY+hEtktTM\nn+k5upOczK6wLvqW3hxO7M8VU7tZCwHkzwH6jtKd5GT2RcQpV5jZomkfW1PHaNo9OUzsQl9/DGg8\nbm7vpo/PBwwd5mTnW2joTOVEUWLgJz/1VJXHDqOgo0h3jNDVHFGliSfnoUh2q5PPoXPiu197gfbc\ncWZ2cwVUq5zJKnar0sQTTK8HqNyjO4UzewykqWuQVher0sSZU6UEjm3vXA7HNPZM4HmGrkFaX6ZK\nU2d1Ld+putAnGzh5z86XVGliLw6gcwmr7CF6czip3KtKtrhSD8eKK8XNka2rAADNmYZ+MXW15jeq\nTDG0W1UodJ5ATb1C376DWWXNvug2eBKLlAwzT+J2v6JKUys3H3eHNPTYrntElSbOtl26SbV62evg\nmub9h1XpNrDSD3R+rpg4OU59OVCyobNlzjR2a7qpE0eZfGy9HmDbP60fDG2xJooSVlwp7nKXXK87\nQmhSs4BhC4HMOHe1jYYT+9VEFx4Nyx7YrYUmc/cCsvOBQdN0JzmZlMCmJ80dJ2eP8Vryfb05nAir\nld/kmT/HX2DmOEP72C79od4cTuwW1znX6s3hJDVTTXxkYjfrduvYnv4DvTmctNbpThBYcqqaEGzE\nYt1JTmZX+md80cwu9ERRxHc4xU1rxQHdEcIjXEDuWN0pIlNXokodJ+/2+EwT1x/9mADyCswcT9Vc\nrSZ4MX1SMBNbHmy5BeaewLncZlZsfJna1RVQPRFMnNUVUGO/8wp0pwgse7DuBP7Z8yKYemwBc78z\nbH1G6E5AFHOGfrNTTzRq718BAOlZhk517+vQB0DDMQCGdocM1YhFevabkgEUnKdn38FU7lNd5kyt\nGNpdcJf/Qm8OJyvv1Z3AUXJ7PbDzP53jrE2z7+3OJUlM9N5DuhM487QDHzys1oc2UdkWNfbb1M+V\nTU/oThCYcKlJwUwc+11bonowmXpsd72kOwFR3LDiSnHTKtKwN3ksBo80cJmFrsq2qHL8BXpzRGr3\nq7oTmMvuyjziNL05nHg1dO8Oh70+cG/zxt+mtViTbpnYBRwASjapcvKn9eZwYk9AM2i63hz+tFhd\nSU1dYqt8hyrHnK03h5Mqa1KwkafrzeHE5QaGLdCdwr+q/arMj/NEh6GyP1cmXKw3B1EcGLqQHPVE\nXpGEujRDZ+RzYuoXVTD2Wox9RsZ3v16vahVJMri7l23sMt0J/LMnAUlJ05vDiXCptRZN7YoLAJMv\n050gsIFTdSdwIIDRZ5ndDXzm1boTBDZyie4EznILgOxBulOc7Mh6s3si2CZcqDuBs5QMc2fbJooi\ng888qCepra7EcO9R3TFCZ3qrVzAiSZ2A9o7zhYLmalVmDojvfsNhajdSm90VcoqBszI3Vlpd6E1l\neNd+Uyfcstmt6RQ+e41UU3W0wti/jwMrVTnmLL05nJjaRdjmaTP/e40oSlhxpbjYu/o5AEBHam/N\nSUL05u2qTGKnhIgs+qbuBM5e/5EqTZ4EJGuQmS2uO/6tyiwDW20AjCx+Wt0w8dh6vcCq+3WncFay\nESjfbm7l+v3fqtJl6Gfyq9Ys2yb2NqktAfa8ZlVeDWbijL0A8NZPVGnisW1vBj5cYf6xJYoSVlwp\nLqRXXQ0cesFtmpOESLiA3HFAWrbuJOGrPqQmHzL16rpuKelqPFWuobN/Fq9S6/KZyM4170a9ORwI\nu2XExBNgu0Vk6DwgyaU3iz91Zaqc8SW9OZzYvTkmXao3hxN3JpCRF/9eLqForFClqWOrTWdfwB4y\nU28Of9qsJaJMnQyRKMoMvXRJpJnLDYxbrjtFZI5tU6WOCVY2Pa5Kk5cMEEnA+E+ZOUaztgSoPgi4\nUnUnSVz5c8xsrbaNPUd3gsD6T9CdwFnWICC9j+4U/iW5zK885M/VneBkXm/nUjjGssZ+m9iTwzbq\nDN0JiOLCwDM36omydjytO8KpR0fLRPVBVZo6G7PXo5asMJU9vnX5z/XmcFJzWHcCZ1Iio/Fw53JC\npmk3fPIZo8cuA6goMrcngqcDaCjXncKZ3VptIrsnQr8xZvZEMF17o+4ERHHFiivFRf92NTFT34FD\nNScJQfGqxJjh0FRZg8ycuRIAdv9XlaZWbmzuDN0J/Fv7e1UmG9giXLoZqW1V5lYQ3/+dKt0GrlMJ\nAO9a429NnFG4vlzNlN5arzuJf1ufUaWpcyLYM5WbeGxt0z6nO4F/VQfMHnqz5gFVmnxsiaKIFVeK\nCw9c+LDvhUhLN/SE3Nfhtao0eer7QIpe053AXG0NqlzyPb05nHgNn71SuFQXehMr1vaxPf37enM4\nabfGos3+it4cTlIz1bjvvqN0JzmZ3apk6t9tq/XeO+3benM4SXar5VKGG7p2tcnKd6rS1KXx7Nms\nTZyFnigGWHElcjJklu4EkTn8viqzB8d3v552YNMT5nbn85VqaKtX4b2qdLn15nDicqtJy0yWkac7\ngbOUDFWJMJFIAgZM1J0isN75uhMEltJLdwJnAyaaOa7/8Ae6E4TG1OEvgOrlZOps20RRZuCnGPU0\ntVUVyIPBY2x6mqRkNb41Ize++609ospe/eK7357ErvQXnK83hxPT1zOkyPHYkg573lAlW4MjI73m\nD30hiiJWXCnmdr/9VwCAJ83Q2SC72vSk7gSJ7bRv6U7gbNvzuhMEl1tg5qy4255Xk0cJQ7827BNg\nE0kJbHzc3DVSD74HnNhnbm8Je/iGqbb8XXcCZ22NwP53zK7cpGQAwxfoTuHfrpd0J3DWUgtsfqpz\nUj+iU4ChZyDUk0hPOwBg4mdu15wkBJ52oNaaOdXUE3SKXNlHqjS5O6mpqg6octbVenM4OfSeKvuM\n0BrDr+ZqNQbX1M+UmkOqnHal3hxO7HH7eYauvVy2VZUmDkEo2aTKtN56cySqoxtUaWI39aYTqhx9\nlt4cRHFk6LcokWZn3m72WqROSjer5V50dPs7vjv++wxXUgow82ozJxfyeoCd/4Gxs1facobrTuCf\ncKGqzwwzTzDt1q5ld+vNEYypY1xFkuqJMHiG7iT+JacBC28xdJ1P6723+Dt6YzjxdnQuiWOiJJca\netOrr+4kzkxfG5ooijiam6gnOb5LleOWx3/fH1lr9fZOgCWPTGQfuw52+yKiU0B7C7DuEQAJeJGY\niLRgiyvF3JiiFbojnHqGL4z/PpOS1VIaIxbFf989gb2swfKf683h5MiHuhMQUU/SZi1zNHaZ3hxE\nlDBYcaWY6y3VovFZOXGe5TYS256zbvAKcESSTOwqZznwLtBwDMZ3xTXxvefpAPa9Zf1gYL7ju4CS\nDQAMnRl38xOqNHX4wVt3WDcMzNdYqbrQ2xd2TLP7VaCj2dxju+p+64ah+QBgzNm6E/h3dKMaemPq\npGUf/tm6YfCxJYoyVlwp5tqRjLUDv4Akl0t3lODKd6hy8mf05ohUfZnuBOayu+Im6rHVyqrsL/i6\nmWtBntgPAKjqa+jay/bEVuM/pTeHI+v45gzTG8Of2qOqHGborLPl21U59XN6czixWzWHzNSbIxFV\nFqly4sV6czipK1XlGE7ORKcOA89AiDRLyQD6jtSdIjKF96kypVd89yslsO9/ML81E8DAqboT+Lfp\nb7oTBJeeoztBQDU5U3RHcJY1CMgerDuFf8KlJi0ztdUQMLjSbzF1xmMINetsSrruIIkrf7buBM5y\nC+K/ZjuRRpyciagnSctWs75m9o/vfo/vAtrqgVYDl4NIFNUHVWnySRIRUbRseEyVJl8wISKjsMWV\nYmrflvfQS3CW1LgRLmDApPjv19OmyuX3xn/fPUn+nPhfdCAi0sFeM33CRXpzEFHCYMWVYqpi00sA\ngPRxSzQnCdHetzorYRQ+V6ruBM7eMXwNTZMVvao7QWBrHtCdwFlbE7DpCXMnFzryodmTlm14VHcC\nZ1ICK+/RncLZif3WpGWGHltAdaHPGqA7hX/v3qc7gbPmajVpmY4124k0YldhiovJSy7THSG45prO\nyRio52lvUkv2pPfRnSTx2EvhjL9Abw4nLTUAgMYMA9cQbjimytxxenM4KdmkynHn6c3hxJ6caeg8\nvTn8sS9GZPQHkgycfNCekG7ofL05ElVrgypNXJu8+pAqB0zUm4MoztjiSmSzp7xfZvAV9EDKd3ae\nJNPJXG5g/tfMHE/l9QJHN6gWHFOlZAD9J+hO4Z9IAiZdCmnyckwzr9KdILBhBldu8ucAGf10p3A2\n7wbdCQIrMPSihOmSXMCsa8y8KGEzdTZrohhhxZWoK5dbd4LIFK9SpY4T0HV/iv8+e5LSTUBrHdDe\nrDsJEVHsSQnsfNHcNVKJyEjsKkwxldR4XHeEU8+45fHfp93Sa3Krjcnam1R51o/15iAiiofaI0BL\nrerJQUQUIra4Usx4Ojowr/IFAIAwsXsmRVf+HKBXX90p/GupAzoSoDUz1dDlhI6sM3fSso5WoHKP\n7hTO6g3vvl/2ke4Ezrxe4ND75nahb67RnSAwk/8u7PHB59+vN0eiqj2iOwGRFqy4Usx4rS5AmzKW\nIMll8BgR20dPqZKV7J5n419VmZ6jN0ciaqkDjq4HvO26k/i3+xVVCkO/zj74vSrTDb2os+UfqkxJ\n15vDn5INQEeL+meitX9QpanHdv1fVGny556p40eLVwEN5eZeNFn7iCpNvVhMFCOGftNTT9Kap2Fd\n0Uic2KfKgvP15qDo67DWEl54i94cichjVVjP+D+9OZzYx3bpbXpzOElKBlKzgXHLdCfxT7iAaZ83\ns+JqV1jPvlNvDid2L4TZX9Gbw0lKOjBsAZAzTHeSxFO+U5WTLtWbw0myG8jO5/AcOuWw4krkK2sQ\n0HuI7hSRWfVL3QnMZ2qrXEUCLMOUZnCrDQC4DJ6yIWuQ7gTOXG4gI1d3isBS0nQncJaSYW4vHZEE\nZA3UnSKxDZqmO4GzbIM/V4hixNCzOCIKmz3eKt7rlFYfBPa/w9khu2Pj46rsZfCSH0RE0VJq8Nhq\nIjKWwZeoiSgsLjcw9/r4X/2vOazK0WfGd789SXIqMGi6ueukEhFF0w41cSP6jtKbg4gSCltcKWa2\nr3xGdwSKp9Fn6E7g7ECh7gRBCHNbW+uO6k4Q2JF1uhM4kxLY+yYAQyd4aaoye7bt8h26EwS273/m\nzrbd1mj2rMLCBeQWAEPn6k6SeDwdqpeTqRNHEcUQK64UM60HPgAADJxj6OQGvlrqgE1PdE70Qj2H\npwM49J71g6Fj0Uxmz0xq6li57f9WZVpvvTn8Ob5LrdHb1qg7iX+b/qZKU4/t5qdVmZGnN4c/zTVA\nxS5zZ9suek2VrlS9ORLV6z9UpYnzIpRsUKWpF02IYohdhSmmmmQqRk6apztGcE2Vqhy5RG8OigHr\nqvTi7wFJBp6EJAJ3JjDxIt0p/Et2A2Mvi//Y7lDYJ5bLf643hxN7xuh5N+nN4STZDeTPBfIKdCc5\nmT2m/5yf6c3hxH7vLb1Vb45EJVxAZn8zlxKyj+0yQ997RDHEszgiXwXn6U4QmX1vm93lzwQmz0wq\nDZ/YKjVLdwJnwgW4M3SnCCwpRXeCBCXMfu8BQLLBnyuAuTMem87lBqZcrjtFYElse6JTDyuuRD1B\nySZV6lhzzu6SRpEp/Qgo3Wxul0MiomirK4WxY7+JyFisuBL1JDrWnDu8VpV9RsR/3z1BrTX50ZQr\n9OYgIoqHqmLg6IdAW5PuJESUYFhxpZgZXv42ktGhOwbFmkgCRp8F9M7XnSSxmbzQPRFRtLTUqnLe\njXpzEFHCYcWVYqK2qgKDUAG3MHzsnq2d40N7rLItuhMkLq9HzbbtNfTvuKoYaDimO4WzPW/oThCY\nPWO0iRpPdM6eaiKTl2ECOmdkNlm/MboT+OfpMHvOiJ0v6U5ApA0rrhQTXo9qaV1b8APNSUJU+AtV\npvTSm4Oib4e1XMqQWXpzJKKaQ6pMSdebw4ldMRwwWW8OJ4ffV6WJs+J62oGGcnXbxCU/Dqvl1NB7\niN4cTopeVaWpPSWO71RlRn+9ORKRfUHH1M+9ko2q7DtKbw4iDQz8tqKeRJh4QuSPnTNRZxVmi3Fg\nKRnA6DN1p0hcZ9ymO0FgUy7TncA/kQTkzwH6jdadxNmZt5s98+yc63Un8E8IIGsQMMzQ5d5cKcCs\nawA3L8aGrbVOlQtu1pvDiT08J3uw7iREcWd0rSJrzx715bDRurp0ww3q5xtuUD9v3Kh+9v3SnTVL\n/bxihfp5xQr18yyf1hb7OdxuzLbbp/9goNQT9e0uPeOM8PI+eBi46KHgr8NnnwCa8tWXfbxe3607\ngTvrgAkXdG+7118PnPNT4OXm6Ob91b9UvhtvCrzdG94BVhZH/jpEmveGlej3zcLg211+b/deh0jy\nPvY39dpdfU/w7d52v/p56874/R1//v9Uvsf/Hni7/UbH5O84aN7PPgl8/cPg273m3k9sN+zPh0jz\n/rgcePC/wbe78mD3XodI8o46XR3bbUWBt5vs7v7rEEne5fcCf6gIvt07HlY/d/PvIrMoyOvQdbu3\nbATeLgr+Ouw73r3XIZLXt99odWyjvd1o5Z1/U2jfQ0/9S/38z9fim/fqF5F0pDH07S46M36vb7Ib\nWNEQ+naLq+P3fTFrFgbNvxzY2Bb71yHO2w3788Gkv7eett0QGV1xJaJQWEsKZA0Eklzx3bW9EDpF\nzh6Dm2xotzQiomhqPK47ARElKimlsf/GjRsnKTFVHS+V8o5sufYf90Z1uytXrgzvCfePlfKlW4I/\n7tmrpPzdnIgyRaz0IynvyJZy1yvd205Hm9rOu7+MTi5b4X1qu54O58fsfFk95p17orvvUKw4Q1b+\ndmnwx71+m5R3D4p9Hl8Nlep1Wfun4I99aKaUv5sd+0y+Nj+t8lUVB37cif3qcR/9Iy6xPvbsl6R8\neG7wx33wR5Wv8YSUMoLPh0j9bICUb9we/HFPXCLln8+KfR5fB95Vr0nx6sCPi9XnRjCh/j3any2l\nW7q1u7DfEw/NkvKf1wR/3Itfl/JXBRFlilg4f4+hfvdF09pHPvH36Oix89XjjqyPTy7b3y6WNb8O\n4Xs+lO++aAvn73HFmVI+cWnsM/koXfuclHdky3dWvhXX/cZa3L4zKCgAG2QIdUO2uFJMNNXX6I5A\n8TT+guCPIf9EEjBgku4URETxkewG+o0F8mfrTkJECYYVV4qJo6+osWdJadmak4RK4uMut9Sz7HmD\nXZojtfkp3QkCO1CoO4EzTzuw/x1AGvq5Ul+mO0FgR9frTuBMSmD3q+YuE9Vc3TljtKnSc3QncGbq\n3ywAtLeYvUwUUYyx4koxIaQXADDzggRYYLz+GLDzRXWiST1Lcw1wYi/g5bGNyIn9qhy5RG8OJ3te\nU6WJy1gdtU4uvR16czixl/zIztebw8mOF1SZkas3hz+1R4GmSqC1XncS/7Zbkx+l99GbIxF5vUDh\nvcEfp0vxu6pMlBUbiKKsW+98IcS3hRA7hBDbhRD/EEKkCSFGCiHWCSH2CSGeFUK4rcemWj/vs+4f\nEY1fgMx1HH3hSk7WHSO4+mOqHHeu3hwUfXaLyLJ7Aj+OnOUWmLvsQlIKMPdGICVNd5KT2RdLzrlL\nbw4n9t/G9Cv15nDiSgXGLTfzvWcf2/Pv15vDibWOOhbeojdHIpLW38XAqfGf7DAU9gX2s36sNweR\nJhFXXIUQQwDcAmC2lHIyABeAzwG4D8ADUsoxAKoBXGs95VoA1db/P2A9jsgcI0/XnSAytUd0JzCf\nyx38MZR4kpKB5FTdKQIz8eTXlpKhO4EzIYAUw2fadqXoTkCxMvEi3QmCCH8ZEaKeoLt9DZIBpAsh\nkgH0AlAG4EwAz1v3/w3AJdbti62fYd1/lhARLOBDRJ+04a+qzBkR/323cBKubqkrAyr36E5BRETk\niCfrZIqIK65SyhIAvwJwGKrCWgtgI4AaKaU9qOcogCHW7SEAjljP7bAe3y/S/RORRXpVi+LUy+O/\n7/9Z3SBNHGOYCA6sVGWfkXpzEBHFQ2Ol2ZOWEZHRIh6AKIToA9WKOhJADYDnACzvbiAhxA0AbgCA\nvLw8FBYWdneTpENTEyBl1I9fQ0NDWNtc0NaGE6Vl2BPgOZn1+zEbwLbt23DiWPwqYJn1B6z9bseJ\nY5F32Rt95CgGyySsjvJrPfxgMUYCKHy3EBD+uzvO9biQlJqHtduOAOJoVPcfzMy6OnhEesD3Q0pb\nHRYB2Lt3L0qanR8XbaHud8Cx3ZgAYG37eLTE8bPu4/2uXYeW9IOOj5tYUYGMpkasj/Pn8MSKCmQ0\nBt/vYq8HJUeO4ID1uHA/HyLVdb/+5FRvxXQAmz/6CLUH4zdBU6j7HX3kKAZ7PFH/3Agm1P3OaWpC\n4/Hj2NnNfOG+J+Y2NaEhyH7TmsswH8CuXbtQXt29fOEIdb9Dju7FWABr3nsPHSlZ8Yrns9816Ejx\nv6KA/f4s82SjKM7vvanV1YDHG/D9ILwdOB3AgeJiHPY6Py7aQt1vbsV2TAawYcMGNGRVxSseXEf3\nYpCHOfwAACAASURBVCCAAweKIVAYt/3GWry+Myh6ujNzztkAiqWUFQAghHgBwCIAOUKIZKtVNR9A\nifX4EgBDARy1uhb3BnCi60allCsArACAgoICuXTp0m5EJB08HR1wFV6MSpGDaB+/wsLC8La5wY3B\ngwdhcKDnlOYAG4Epk6cA48PYdneV9bH2O7l7+219Cyh3Rf21xrsfAgeBpacvdR6ntz0TGDAJS884\nI7r7DsXebLQ3y8C/d+MJ4H1g7NixGDsvwOOiLdT9flQK7Abmz58H9BkRr3Sh7/f4XwFZGf33VjDH\nHwNQFXy/a1wYNnQohlmPC/vzIVJd9utXcRKwBZgxfTow4rTYZwp3v7H63Agm1P1u74WM/v3Rv5v5\nwn5PbOuFXsH2W3UAWAdMmDABE6Z1L19YQt3v2t3APuC0RYuAXn3jFg/riqz9nua8X+v9OWj5dzEo\nnn8XAHC4D2ormwO/HzztwCpg1MiRGLUkwOOiLdT97moAdgCzZ88GBk2NW7xj6yqBfcCoUSPj/5kR\nQ3H7zqCo6c4Y18MA5gshelljVc8CsBPASgCXWY+5GsCL1u2XrJ9h3f+OlOwr0hMdO1wEAGgRBs70\n6U/Vft0JKFZ2vaQ7QeJqqQV2/kd1RTfRwTVAR7PuFM4+XKE7gTOvB/jgYXPXNz6+S439NvUUYetz\nuhME9i7nvoxYY6XuBIF98LDuBERadWeM6zqoSZY2AdhmbWsFgB8C+I4QYh/UGNZHrac8CqCf9f/f\nAXBrN3JTAiib/k3dEUKz/jFVZuTpzUHRV7pJlaM1tAgnuqpiVeaO1ZvDyaH3VVlwvt4cTupKVTlg\nst4c/jRbk6rlDNWbw0npZlUOX6Q3h5PjO1U5fKHeHE5aalXJdVzD9+GfVJnRX28OJ40VqjT1c5ko\nxrq1yKaU8g4Ad3T57wMA5vp5bAsADbPHEAWR7Ab6jgaGztGdhGIhaxC/5Ltjxpd0Jwhs6ElfN4YQ\nwOizgPQc3UGczfuq7gSBjVumO4Gz3AIgZ5juFP653MDc69WSQhQee53UmVfpzeFEJAGTLjV/qSii\nGOnucjhEPUM8xwFF2963zO3yR0RElEhSMljpJzIUK65Eiay5BqgsArztevZfX65nvz3F9hd0JyAi\nIiJKCKy4EiUyr0eVy+6O/773vAG01nZmoPCVbFRlr1y9OYiI4mHz07oTEFECY8WVqCdwpcZ/n03W\nalYLbo7/vnsKlxuYeTWQmqk7CRFR7J3Yq8q88XpzEFFCYsWVoq6jtUV3BIqnrIG6ExARUUKwJi3L\nYC8TIgofK64UdSf++1MAgMvNWe9Is8Nr2ZU5UrVHdScIzO5mbSJPB1CyQXcKZ02Gr1VZvkN3AmdS\nWksxGbrGbGu92esbU+Q6WtX6xkSnMFZcKQbUbHyTz7xSc44Q1BwG9r8DSK/uJBRtdaXqS95e05DC\ns/aPqjRxLUhPB7DndesHA2f/PFCoSl2TpgXzwe9VaeKxBYCNj6syNVtrDL8qioDG46qCaKIN1rrk\nJi/DZKqONuCDh4EOQ3uN7X7FumHgZx5RnLDiSjFxKGko3KlpumMEV31QlaYuJE+Rs08+dExc1RMk\nu4HsIcDwBbqT+GG1ds3/GpBk4NeY/d47q+sy56awXr8pl+mN4SQlHRi33Mxlyuxje87P9OZw0tGq\nyoW36M2RiOyLEYOm6s3hxD62Z/yf3hxEGhn4jU+kwbjluhNQrKQZ2GqTKLIH604QmIkVG18ut+4E\nzrIGmbtWpXABmQN0pwjMnaE7QWCCp3cRm/Z53QkCcyXrTkCkDT/ZiBJZxS7dCag72I2ZiIiIKCSs\nuBIlsi3/UGW/0fHfd21J/PfZk+z4NydRISIiIgoRK65EiUwkqS5/Y86K/75X/0qVKYZ3mTNVfbkq\n596gNwcRUTxUHbBm2zZ0RmYiMh47yhNRZFKzgEHTgcw83UkSm+njSImIoqF8pyrz5+rNQUQJiy2u\nFFXS68XAxt3gFdVTgHABeQW6UxARUSIZ/yndCYgoQbHiSlF1ZN9WDJblSPc26Y5CRJHytFvrG/MC\nVGQMf92k1+xjKz26EwRg8OsGcE3ynszkv1miOGHFlaKqrbkBAHBw2rc1JwlR0eu6E1CsrHlAlcKl\nN0ciOrpBlaZWIDY+rkpTj+0bt6kyycB8zTXA5qcAT6vuJP4VvQ40VsDYCmLhfao08dh6vUDhz3Wn\nSFylm3QnCOzV76vS1M89ojjgGFeKCXdmru4IoTn8gSr7jNAag2KgpU6V45bpzZGIvO2qPOcuvTmc\nVB9U5bQrtcZwZK/fmjdBbw5/mqtUOeZsvTmc2Md2xlVaYziyK/wjFuvN4Y99oWnQNDMr1qbb+R9V\nDpikN4eTlHR1XHvn605CpA0rrnRqE0nA6LP4RdBT5RYAab11p0hcwuBOOSkZQPYg3Sn8E0nApEuB\nJINfP1MrrjYdS3yFKn8O4O6lO4WzCRfqTpCY7Fn6RyzSncS/JBcw4dOAELqTEGlj8LcqEQVVfQjw\nGtqdk4iIiIgoStjiSpSoGiqA4ne5jmqiKtmoOwERERFRwmCLK1GiaqtX5YKb47/vhuNAw7H477cn\n2fZPVaak681BRBQP9th5IqIIscWVKNHpGAu280VVcmxw5IQLmH4lK65EdGp43Zpt2568jIgoTGxx\nJaLw2eNq51ynN0cic7mB9L66UxARxYe7F5DSC8gr0J2EiBIUK64UVZU7VuqOQERERKYRScC4czkr\nLhFFjBVXiqrMQ28DAHoPGas5CRFFrL5cdwIiIrJ1tAEN/FwmYsWVosorXChKHo+RE+fojhJcewtQ\nskF3CoqF5mq1mLz06k6SmNb8RpWpWXpz+OPpAD54GPC06U7i37FtQOUeQErdSfzb/LTuBIG9c7fu\nBM7qSoH975h7bHf/V3eCxCUlUPSaucvLbX1GlUkpenMQacbJmejUVfyuKtltqeepPqTKARP15khU\nKelA72HAwKm6k5yspVaV/cbozeHk2DZVjlqqM4WzE/tUOXKJ3hxO2pvUyXl6H91JTma/doNn6M3h\n5Oh6VY6/QG+ORFR7FGisAJINnSyvrUmVi7+jNweRZqy40qnLY03Nf+aP9eag2Jn6Od0JEpQAcsea\nfVFn9ld0Jwhs9Bm6EzjLLQCyB+tO4Z/LDcy93uz33qRLdCdwlpIB9J+gO0XisZfqOf9+vTmCSU7T\nnYBIK3YVJhIJ+mdganc1IiKiRORiV1wikyXoGTsRYbU1DjGJHSeIiIiIqGdjxZUoUbU1qHLssvjv\nu3Rz/PfZkxxeB3Q0A2CrOREREVEoWHElSmS5BUBadvz3a89wmGLoRBamsycG03HRgYgo3pqr1Wzb\nRETdwD6GRBQ+4QKmfY4V1+4avkh3AiKi2NvzpipNnC2aiBIGW1yJKHwuN9Crn+4URESUCKS1Puqi\nb+rNQUQJjRVXipqWpgZMbdkIjtsjIiIiIqJoYsWVomb/R6sAAJ4kt+YkdMprrtKdIHHVlwMlG3Sn\ncNZWrztBYDVHdCcIrHw7jL242NFqTVpmqIbjuhMEVlEEeNp0p6BYqC7WnYDICKy4UtRIqyuQXHqb\n5iQhKt2kOwHFyqpfqTI1U2+ORHR0vSr7jtSbw8maB1Vp6rFdYy1TlZKhN4c/lfuAE/uAVkMr/+v/\nokq3ocfW/lwxMV9rPbDvLcDbrjtJYvro77oTBLbuEVUmp+rNQaQZJ2eiU9fW51SZkas3B0VfciqQ\nmg2MWKw7SeKaebXuBP7ZY+WmXKE3h5PULGDwTCAzT3eSk9lLaC29VW8OJ22Nqlz4Db05nLh7Adn5\nwKBpupOcrMNqaV14i94ciapyrypN/c4QLqDgPMBt4AUxojhiiyudupLdajmS7MG6k1As5BUAQuhO\nQbGQNQhwGXrdVbiA3LG6UwSW0V93gsCMbVUS5n+u9B6qO0Hiyi0Aeg/RncI/lxvoO0p3CiLtWHGl\nU5dI4tVLIiIiIqIEwIorUSLqaAN2/gfGTrJCRERERBRFrLgSJaKKXapMSdebg8InJbDqft0piIiI\niBIKK65EiUhaLa2na5hkZc8bZi9ZYTpvh1qyIqWX6q5ORNTTeTt0JyCiHoBnTUQUnrItqpxq6Kyu\niWLxd8ye5IWIKFpe/b4qk1L05iCihGbotIxEZLz+E3UnICKiRODOVEtFmTprLxElBFZcKWqkh12B\niIiIqIskax1SIqJuYFdhippe794JAHCluDUnOQXsfkV3AiIiIiKiuGHFlaLGI9TYlTHTl2hOcgo4\nukGV/SfozWEiTwew/53OCawoPO8/pDtBYHvfBrwe3Sn8a6kDGo7pTuHsxD7dCQIrXqU7gbOOVqBk\ng+4UzupKdCegWGmq4oSIRBZWXClqJAS2ps1GciK0uB5eC1TuMfcEOBghgPw5QN+RupOYxz659LTq\nzZGomk6oMnec3hz+1B4F6kuB1jrdSfzb9pwq07L15nCy4a+qzOyvN4c/ng7g4GrrBwMnLTvwrnXD\n0Ati6/+syqwBenMkovpytS66t113Ev82/U2VJv7dEsUZK650aqo6oMopl/0/e3ceJ1dV5338++s9\nS2dfyAZZyE4gJCFEQqAxioAgMqigKOCA6KOCM+rMo+iojLjjAoMjojKAosIjjiyKiJFiTYAOhBCy\nb2TphCSdtbN0p7vP88e9lVQ6Vb13n1PVn/fr1a9TXbfuvd+6S9X91bl1y28OtL+6mqg9/1a/ObKV\n5UmTL5MKS3wnOV5y3V74fb85MqmLD3zP/rzfHJkUFEUfSAyf4TtJGnFBePbnpbwAD02S297cr/nN\n0ZjC7tKkS32nyD77tkTt6PP85sgk+bpy5v/xmwMIQIDvDkAnGnKa7wToKHlcey5nFRT7TpC9Snr7\nTtC4ou6+EzTO8n0nyCz0dRu6k9/lO0Hj+Pk0gMIVAAAAABA2Clcg29TXSxtf5uJDAAAA6DIoXIFs\ns3mhVFMlHeYqg1lp9wbfCQAAALIOhSuQbZKXxX/X1/3M/5Vf+Zlvrlh4b9T25YrQAAAAzUXhCmSr\noh6dP8+6w0d/p9J4+WgVVy/lF3FFawBdw5bXpaq3+XoLgDbjyBNAy73zq1zhsC3yCn0nAIDO8db8\nqB11jt8cALIehSsAAAA61ph3+k4AIMtRuKJdVB86oPG1K3zHAAAAAJCDKFzRLpa/+LgkyVy95yRd\nwNqE7wTIZQd2+k4AAABwHApXtIv62hpJUsmF/+k5SRewel7U9h7hN0eoFj/oO0Hjti2T6mp8p0hv\n1d+lAzuk+jrfSdJb+aTvBI176We+E2R2cJe05h/hXiBn40u+EzTutV/7TpBZ3WHp1fvD3W/RNi/e\n6TsBEIwC3wGQW/Ly8n1HaJ5nvuc7QevlFUhj5kp9T/KdJEzblkXtgHF+c6RTvU9aM893isz2b4va\nMz/pN0cmG+KLvAyZ6jdHJrs3Rm1Jb7850tn6RtT2HuY3RyYrnojaE8/ymyOTytVR23ek1xhp7Ym3\nu259/ebIVuUB/8Rb3WGpeo8k40r+gChc0VXV7I9aei1zkEWFfc9BvoMcLz4zQbM/5zdHU3oP950g\nA5MGjJcGTfAdJL38ImnmJ6SQP8CbeYPvBJkV9pBGzvadIj3LkyZfJpX08p0kszmf950gO+3ZFLUj\nZvrN0Zh3foUr+QPiVGF0VZYvTbsm7ANM5K5eoRaGANAFDT9D6jHAdwoATaBwBQAAAAAEjcIVAAAA\nABA0ClcAAAAAQNAoXIFssm25tLlc4vdyAQAA0IVQuALZJPmTDCfP9TP/l++O2rxCP/MHAGSXfRW+\nEwDIERSuQDYada6f+e6ND0BO/6if+QMAsssLt0dtfpHfHACyHr/jCqBlCnvwswEAgOaxfGl0mVTc\n03cSAFmOHlcAAAB0jPwiafBk3ykA5AAKV7SLQ2+V+44AAAAAIEdRuKJdjNz8uCSpZ7/BnpMAaLWa\n/b4TAAAApEXhinZRa4VaXHKGBg8f4zsKurK9W6KfCwrVmn/4TtC4v345avOL/eZIp2a/tPRPkpzv\nJOlVvCbVHvSdIrNFv/OdILP6emn+nVJdje8k6e1cJ+1Y6TtFZsv/4jtB9nJO2vxq1IborRd9J5Ak\n5VnUFuRRNsAvLs6EdlFveTpc0MN3jObZsECq2qpgD4Abs/El3wnCtnlh1A4Y5zdHJuueidoTz/Sb\nI5NufaTiUqnXEN9JjrdjVdT2DPSsjlVPRa2vK343ZceKqB04wW+OdA7uitru/fzmyGTD/Kg9YYrf\nHJlsejlqh033myMbbX5VOrRbOhzoh06r/ha1I+d4jTGotESSNGcsF2aEX2366MTM+pjZH8xsuZkt\nM7N3mFk/M3vKzFbFbd/4sWZmd5jZajNbbGbT2ucpAC1UsShqJ1zsN0drLP1T1PYY6DdH6KZ+xHeC\n9Myk0iHSkNN8J0nP8r0fIDVp1qd9J2jcmPN8J8jApDFzw74i+Jwv+k7QuFMu950gA5MGjJcGjPUd\nJPscjr8e8c6v+M3RmMIe0omzfKcAgtDWPv/bJf3VOTdB0mmSlkn6kqR5zrmxkubF/0vShZLGxn83\nSPpZG+cNtM3wM3wnaLn8Ymn8RWH2iAEAkI1KevtOAKAZWl24mllvSedI+pUkOedqnHO7JV0q6b74\nYfdJen98+1JJ97vIAkl9zIyjb6AlzKSCAL9/CAAAAHSgtnzHdZSk7ZL+x8xOk7RQ0uckDXbObYkf\ns1VS8gtJwyRtTBl/U3zflpT7ZGY3KOqR1cCBA5VIJNoQEZ1lZH29qqurO3x9VVVVtWge76ipUWXF\nFq1MGWfYplUaK+n5F15QbWFpu2dsrp771mqGpDeWLFHl1uZ9P/iMAwe0f9s2Le2E/eKk9es0SlLi\nmUR0CqmkMRs3aWhdnZ4LYL+ctnev6qzbMdvDgO1LdIqk8vJyVZXu9JatsGavZktatWqVNh9MHLl/\n3JYt6l9drfmel9/grcs1UdKCBS/pULf1R+5/R021Krccu7/4MGn7dvXYv1+vpOTouW9NvL+8ocqt\n3dOO19LXh9aaU1+nzRs3am3KvNLtLz702bVYUyW9tmiR9qyvPXL/tL17VXugTos9r9t0ryGZ9pf2\n0NJtYuaBA6pq8BqbaX/pbCUHt2iWpGXLluntXYkj90/avl09Dhy7v/hw9L31edUW9jpyf7r9xYdT\nd+2S6uqP2R4y7S+dzeprda6ktevWaUN94sj9obznhvLe2t466z0D7acthWuBpGmSbnTOvWRmt+vo\nacGSJOecM7MWXQHHOXe3pLslafz48a6srKwNEdFZ3no2T8XFxTqrg9dXIpFQi7aJ8iINHTpEQ1PH\nWbBcWi2dPXu234uBbOkrLZSmnHKKNKGseeMs6a4egwZpUGfsF8+8LK2Xys4tk/LiA/Hqp6S381u2\nDjrKql46fNAdm2VZlfSmNGPGDGnIqd6iaX+l9KI0duxYjT2z7Oj9ex+Wqor9L79FFdJyadasM6W+\nI4/eX16soUMa7C8+bLtH0s5jl1NFn3h/mZJxf2nx60NrPZ+vE0eM0Imp80q3v/iwLk96XTp96lRp\n5NlH71/VSyrp7X/bS/cakml/aQct3ibe6K7uDV9jM+0vnW3nWuklaeLEiZp4WtnR+7f9j+R2+F+3\nL62I31vPPva9Nd3+4sOGvtqz4+CxyynT/tLZ6g5Lz0qjR43S6HPKjt4fyntuKO+t7azT3jPQbtry\nHddNkjY555KXOf2DokL27eQpwHG7LR6+WdKIlPGHx/cBAAAAAJBRqwtX59xWSRvNbHx811xJSyU9\nKuma+L5rJD0S335U0tXx1YVnSdqTckoxgNA5J83/abi/tQgAAICc1dbfcb1R0gNmViRpraSPKyqG\nHzKz6yS9JelD8WP/IukiSaslHYgfCyBbHNgpyUlFWfJ7vQAAv9Y9J9UG+hupALJOmwpX59wiSTPS\nDJqb5rFO0mfaMj+gS9tfKe1YKQ2e7DfHeQH/3h0AIBwb5kdtNv5uOoDgtPV3XAF0ltVPRW3PE/zm\nAACgJYan6+MAgJahcAWyhauP2lmf8psDAAAA6GQUrmizHVs36qT6Tb5jAAAAAMhRFK5os3ULHpUk\nHe45zHMSAAAAALmIwhXtwEmSTnzPTZ5zNJOr850AHeWtF3wnyMw56c1HpPpAt7/1L0hVW5Xcn4Oz\ndbHvBI1b/mffCTKrOSBtLvedIrOda30naNyap30nyKy+Xlr6JwW734bOBbzc6g5L8++U6qp9JwGC\n0dafwwGyz5M3R21evt8caH/J4qHnIL850tmzUareI7mevpOkt/WNqJ14qd8cmSx+KGp7DfWbI526\nWmnLoui2Bfh58Lpnoza/yG+OTF69L2r7nOg3Ryarnozabn395khn29KoraW4aZWnvha1eQEeDh/a\nG7WDJvnNAQQkwD0V6GCWL/U9SSrp7TsJ2lt+UfSzC6UBXnm5vjZqL/qB3xxNGTbNd4L08gulIVOl\noVN9J0kj7rUpu1ky8xslneS2d96X/ebIxEzqPkAaf4HvJOnlF0mnfzTM94zkun3Pt/3myFbJD7CH\nTfebozGnf8x3AiAYAX40DHSwZHGD3GMWFTghC7FHLluEvm7zQl+3ARbVSSGvW8sLs0cuFa8rrWTS\nmLlhb38AjuCVDgAAAAAQNApXIFs89yPfCQAAAAAvKFyBbHFod9T2Gu43BwAAANDJKFyBbGH50rRr\npPzAv2sFAAAAtDMKVwAAAABA0ChcATTPy3dHbfBXTgUAAECu4QgUQPPsq4jaiZf6zQEACJ9z0vM/\n9p0CQA6hcAXQfKVDpJ4DfacAAISuvlY6fEDKK+R3ZgG0C15JAAAA0DHK/q9k5jsFgBxA4QoAAAAA\nCBqFK9osb8083xEAAAAA5DAKV7TZyftekiSV9hvkOUkOq6+Tqrb6TgEAAAB4QeGKNjusQr3c970q\n7d3Pd5TctfjBqM3L95sjZIcPSjtW+k6R2Z7NvhM07tnv+06QWX2dtPaZ6CqlITpQ6TtB47Yt9Z2g\nceuejdZxiKqrpKq3fafIbNd63wnQUULe7gBPKFzRZk6WPVcM3L1Rqj3oO0XLHdobtbM/5zdHyJb/\nOWrzCvzmyOSlu6K2xwC/OTI5uDtqu/X1myOdTeWSq5Nqq30nSe/Iug30itsL74vaENftns1R8XVo\nj+8k6b3xUNQW9vCbI5OXfxG1ob6uhKx6n7S53HeKzF76WdSyboEjAj3CAzrI4t9H7YBxfnO0VnEv\n3wnCVVcTtWVf9psjk7wCqVs/6eR3+U6SXn6RNPMTYV79sy4uWN99i98cmdQdjtpp1/jNkUlhiTRy\njtRnhO8kx0uu2wu+4zdHJrXx68qcL/jNkUlBkdR3pDRipu8k2Wfdc1FbXOo3R2PyCqRT/sl3CiAY\nWdJNBrST5KmGUz/iNwc6TsinU4faI5ctCop9J8issEeYRb8UnRETeq9NUaA9mkmhrluJ15XWcvVR\nG+qHEhLrFmiAwhUAAAAAEDQKVwAAAABA0ChcAQAAAABBo3AFAAAAAASNwhUAAAAAEDQKV7RZkWp8\nRwAAAACQwyhc0SYLfvMN9dZ+3zHQ0errpFfvj1oAAACgk1G4ok1mrf6xJKnvOZ/0nCTHPfdDv/Pf\n/VbUFpb4zQEAyA5rnvadAECOoXBFuxg0YpzvCLnt4M6oLenjN8d5X/E7fwBAdlj3TNSe/C6/OQDk\nDApXtMmywsmSpLyCQs9Jclx+kXTWjVIeuywAIEsU9pCGnu47BYAcUeA7ALJbv2t+rUUrXtHU3v18\nRwEAAACQoyhc0SaDh4/R4OFjfMcAAAAAkMM47xAAAAAAEDQKVwAAAABA0ChcAeSGJQ/7TpBZ3WFp\n6Z8kOd9J0lvysFR7ULJA3xJWPuk7QWbORb9xXFfjO0l6VdukHSt9p8hsw0u+EzRu8e99J8isZr+0\n5h/RNojcUl/Pb6cDaQR6lAJ0AOek537kOwU6yuZXo7bHQL850tm2NGrzi/3myKRyTdROu9pvjkze\neiFq+5zkN0c6B3dJ1Xt9p8hs9byo7T3cb45MVvw5agcE+pNqFYuitrjUb450kq95IWbLBuW/8p0g\ns+Rvp4f6YSLgCRdnQtdRXxv1KuUX8WaQi/KLpGnXSEU9fCc5XrJH5Lyb/eZoSt+RvhOkZ/nSmLlS\nnxG+kxwvuW7f822/OTKK851xvd8YmVi+NGC8NGya7yTpFZRIMz8h5Yf4k2/xuj3ni35jZKvdG6K2\n32i/OdKK1+27b/EbAwgMR+/oes79d8nMdwoAAOCL5UmTL5OKe/pOAqCZKFwBAAAAAEGjcAVCt7dC\nOnzAdwoAAADAGwpXIHSLfhu1/cb4zQEAAAB4QuEKhM7VR22oV3wFAAAAOhiFKwAAAAAgaBSuAAAA\nAICgUbgCaNrOdb4TAAAAoAujcAXQtPJ7orb0BL85AAAA0CUV+A4AIAvkFUilQ6XRZb6TAABCV18v\nzb9Tyiv0nQRADqHHFUDzFJf6TgAAyAYHd0Vt935+cwDIKRSuAAAAaH9zvug7AYAcQuEKAAAAAAga\nhSsAAAAAIGgUrgAAAACAoFG4AgAAAACCRuEKhKy+Xnr6W75TZIfqvb4TZObqfCdo3JI/+k7QuJDX\nrZzvAI2rrfadoHHV+xT0Mqw96DtBZvW1vhOgo7iA9wnAI3MB7xzjx5v7+c+PvW/IkE9o/Pi7JUmJ\nhB03DsNze7j0XpWVPd766VcUavzwb0nn/FuQz4/hbRxeM1njz1/iP9/+SiVeGXD88O4XafzMP/vP\nt+i3Suy+Ks3w6zV+/C/853voaiUG/brF47f59aG5w289QYmz3+646bdleNFHpfsuUaLs+GI/iHzr\nB0rl/6PE7C1h5vvbq9IJU5QYeG94+fpdofF/fEK67OdK7PpwePnyz9b4eYulf1+nxMv9w8tXdZJO\nWDlIvT//cpjvX6Efn1QUavx55dKQU8PMx/CsHn7eeVronJtx3IAG6HFF11PE75HmrIETfCdoq3s0\nawAAIABJREFUXOkJvhM0IV0xCAAAEADnXLB/48aNc0Cqp59+umUj/GCsc4/eFN3+683Ofb2Xc4er\n2z1Xq1QsivIsezzzY2prosc88/3Oy5WU+F4077pa5x682rn/OqPzMzTm7vPcjtvLotvzfxZl3V/p\nN1NS1Y4oz4KfR//f/37nfjHXb6ZUrz0Q5du5zu82lsmDH3PuzpnR7aWPRfkqXm9ytBa/PrTWNwc7\n9+RXo9uPfNa528Z3znybY+0z0fJa91z0/w/GOffIjX4zpfrrzc7dOiS6vfm1+DXwzx02uxZvE3dM\nd+6ha6Pbqa+BIahcE+VZ9Lvo/7vf6dz9l/nNlGrBXUdfhxu+Bobgvkvd7h/G72PJ18BmvK50ioav\nw6G957bgdTibdNp7Bpokqdw1ozakxxVdS2EPqaDIdwoAAOBbSS/fCQC0AIUrAAAAACBoFK4AAAAA\ngKBRuAIAAAAAgkbhCgAAAAAIGoUrAAAAACBoFK4AAAAAgKBRuAJo2uEDkpzvFAAAAOiiKFwBNG7P\nJmnV36Taat9JAAAA0EVRuAJo3IEdUTvlg35zAACyw74tvhMAyEEUrkDIXECn5w6b7jsBACAbvPzz\nqO05yG8OADmFwhUI2YKfRm1+sd8cAAC0REGJNPn9vlMAyCEUrkDI9sen6U77mN8cAAC0RLe+vhMA\nyDEUrkDoCntwAAAAAIAurcB3AAAZ1NdL8++U8gp9JwEAAAC8anOPq5nlm9lrZvZ4/P8oM3vJzFab\n2YNmVhTfXxz/vzoePrKt8wZy2sFdUdu9v98cAAAAgGftcarw5yQtS/n/e5J+7Jw7WdIuSdfF918n\naVd8/4/jxwFoypwv+E4AAAAAeNWmwtXMhkt6r6Rfxv+bpHdK+kP8kPskJS8pd2n8v+Lhc+PHA0Db\nbHndd4LstfYZ3wnQUWoOSFVbfafIbM8m3wmA8DgnvfWipIB+Dg8IRFu/4/oTSf8uqTT+v7+k3c65\n2vj/TZKGxbeHSdooSc65WjPbEz9+R+oEzewGSTdI0sCBA5VIJNoYEbmkqqqqRdvEO2pqVFmxRSsT\nCZ28YZ2G1B3Wc4FsUz33rdUMSW8sWaLKrT2OGz5iwx81RtLK1atUcTDR2fF00vp1GiVp4cJXNV3S\nG0veUOXW7p2eI5Npe/eqzropkUio7PXfSpKenf+K6gP46aDCmr2aLWnVqlXaseshvWPNP7S3dKxe\nDWTbG7x1uSZKWrDgJQ3b/BeNkLRwdx/tCyTfpO3b1WP/fr2SSGjGK19RT0mvLFyo/T13NjpeS18f\nWmtOfZ02b9yot/7+hOa8er9qCnvrxUCWXZ9dizVV0muLFqn7i3/WeEmb3q7U6kDyjdm4SUPr6vRc\nIqGpr31HfSS9tny99mxNdMj8WrpNzDxwQFXbtmnp00+r7JlvSZISzyQky++QfC1RcnCLZklatmyZ\n9m26XzM3l2tn36laHMi6HbZplcZKev6F5zV6yxb1r67W/ECySdKpu3ZJdfVKJBI6YcubmqDoNfBQ\nt/W+o8nqa3WupLXr1mnHvl9r5v5tqj5cG8zyG7B9iU6RVF5erqrSxl+Hs0lnvWeg/bS6cDWziyVt\nc84tNLOy9grknLtb0t2SNH78eFdW1m6TRg5IJBJq0TZRXqShQ4do6OwzpcSlkqxl43ekLX2lhdKU\nU06RJpQdP/zRhyVJ4y7+nMb1Ht652STpmZel9dL06dOkV6Upp0xJn9OXVb10+KCL1ucz+dKpV+ic\nue/xnSqyv1J6URo7dqzGDjpBWiD1mnJhONveogppuTRr1pnSy4ult3to+vs+4TvVUdvukbQzWl5v\nFEj7pTMu/KiU3/iFylr8+tBaz+frxBEjdOK08dLzUtFJM8NZt+vypNel06dOlbYWSCul4R+5XcN7\nDPCdLFL9lPR2frS8Ng6S3HCd/v5Pd9jsWrxNvNFd3QcN0qBzzpaekdTnJJWdN7ej4rXMzrXSS9LE\niROlop7SK1K/Mz6gsrPKfCeLvLRCWi2dPfts6eBTUlVxOPuFJG3oqz07DkaZvvkhSdKss86Weg9r\nfLzOUHdYelYaPWqURp98qvSKVHzx91V2apnvZJFlVdKb0owZM6Qhp/pO02467T0D7aYtPa6zJb3P\nzC6SVCKpl6TbJfUxs4K413W4pM3x4zdLGiFpk5kVSOotqbIN8wear+ZA1I6/yG+OliodIvkoWrNN\nfpEUyoF5JuMCKaqzjeVJky9rsmj1asoHfCdonAX8y3e9hvhO0LjQf0N71Lm+E2Sn4lLJeodRtGZS\ndPyZWEBX1+p3M+fcl51zw51zIyVdKekfzrmrJD0tKfkufo2kR+Lbj8b/Kx7+D+ccJ/Cjc40u850A\nAAD4lJcvTciyD7IBtMtVhRv6v5I+b2arFX2H9Vfx/b+S1D++//OSvtQB8wZyQ12t9Or9Un2d7yQA\nAACAd229OJMkyTmXkJSIb6+VNDPNYw5J+mB7zA/IeXs2RG1Jb785AAAAgAAE/MUXADrni74TAAAA\nAN5RuAIAAAAAgkbhCoRox2rfCQAAAIBgULgCIXr1vqjtNdRvDgAAACAAFK5AiPIKpD4nSqPO8Z0E\nAAAA8I7CFQhVQTffCSL82jIAAAA8o3AF0Lh/fDNq8wv95gAAAECXReEKhMY5ad2zCqar09VH7cg5\nfnMAALLDuuek+jrfKQDkmALfAQA0sH2FdHCnVFDsO8lRw8+QCkt8pwAAhG7vZmnXOik/oPcwADmB\nHlcgNLWHovb8W/3mAACgpWprovaCb/vNASDnULgCoSrs7jsBAACtU9TTdwIAOSbwwnWlEgnTvn0L\nJUkrVtygRMK0YsUNkqR9+xYqkTAlEnZkjPLy6UokTBUVd0uSKiruViJhKi+ffuQxyXGYbvZNVzqv\nZdOduEGJ0jtUsS36XdSK2mfDWQ6HlipRtleJrRcfO92Vp6tiSI3/9eYeVqJsr1b0e71jl0Nrpzv2\nab1xauLodPP/HM72u+0+Jcr2qvzQt45Od/2ccPa3fV9RomyvKip/G0138IFw9ot9C5UY9GslJr98\ndLp9HuuY14fW5j37ba3I/3M03Z51Suz6cDj7xVvnKlG2V/uqV0TTHXdQiZf7h7FfVNytRPG3VX7a\n9qPTPXleh25n0oqWTXfKQlWURONUDKlRov7fw9kvFo9Romzv0elOr1JixWnhvM8f/JRWjDsYTTe0\n/SJhSpz4iA502x9N96S3lSi9I5z94rkilU+vOjrdsr1KbH1vGO8X5dOVePuSMI5LfL8+eM6by9Nt\nrsALVwAAAABAl+ecC/Zv3LhxDkj19NNPt2yEH4x17tGbnKva4dzXezm34OcdkqtVKhZFmZY9fuz9\n91wU3b/2WT+5khLfi3Lce4lzv5jrN0s6d5/ndtxeFt3+5mDnnvyq3zypUre3tc9Et9c95zvVUa89\nEGXauc65v97s3K1DfCc61oMfc+7OmdHt/5rh3EPXNGu0Fr8+tFZye6tcEy3HRb/rnPk2R+r2Nv9n\n0e39lb5THZW6vd3//g5/bWnxNnHHdOceuta52ppo2T3z/Q7J1Sqp29vSx6LbFa/7TnXUgruiTBvL\nw9svnHPuvkvd7h+eEd1OHhuEInV72/xafGzwZ9+pjgpxe2sHnfaegSZJKnfNqA3pcQVCU1AklfSR\nRp7tOwkAAAAQBApXIEQDxkrW8nP/AQAAgFxE4Qogu+17W6o96DtFZpvKfSfIrK5Wmn+nVFftO0l6\nh/ZKO1b6TpHZ9hW+EzRu1d98J8istkZa8w/JOd9J0tuz0XeCxr31ou8E6ChbF/tOAASLwhVdQ12N\n7wToKIt+E7V9TvSbI5M3/xi1pUP85kinek/UDproN0cmK/8atcWlfnNk8lq87fUe7jdHJmvmRW1R\nD7850tmc/EAn0MK1/H+its9IrzEyWv541PYc5DdHNqqvl6re9p0is8UPRW2voX5zAAGicEXX8Nxt\nUVvYzW+OptTXS+tfCLcXIkT1dVE745/95sgkv0gadY7Uf4zvJJmdfrXvBOnV10btnC/4zZFJXoHU\nb3S430fPL5ZmfUYqKPad5HjJdfuuW/zmyMTVR/vuqR/0nSS9/CJpwsVS6Qm+k2SfxQ9GreX7zZFJ\nfqE0ZKo0dKrvJEBwKFzRNSR7XE/9kN8cTdlcHp22WXvIdxK0G5PyCn2HQEcJed1anpQX6MF5Usjf\n5Q963VpU4KDlDsVnmpz1Wb85GsO6BdKicEXXUTokzJ6HVMmCNdReCAAAckFJH98JALQQhSsQosIS\n3wkAAACAYFC4AgAAAACCRuEKAAAAAAgahSsQkq1LfCcAAAAAgkPhCoRk0W+jtge/zQcAAAAkUbgC\nISkokkacKQ0c5zsJAAAAEAwKVyAoJhX19B0CAAAACAqFKwAAAAAgaBSuABq3Yb7knO8UAAAA6MIo\nXAE0rq5GOnzQdwoAAAB0YRSuQCj2V0qby32nSO/dt/hOAADIBmuf9p0AQI6icAVCsWF+1PYe5jdH\nOoXdfCcAAGSDtYmoHXyK1xgAcg+FKxCaMz7hOwEAAK1jJg0YL51A4QqgfVG4AgAAAACCRuEKAAAA\nAAgahSsAAAAAIGgUrgAAAACAoFG4AsFwvgMAAAAAQaJwBULx5FeiNi/fbw4AAAAgMBSuQCjyC6N2\n4ES/OdB1HNjlOwEAAECzULgCobA8afJlUh67ZYssf9x3gswOH5A2l/tOkdn8/4rabn385shkzT98\nJ8jM1UtL/6RgT/Hft1WqPeg7RWYbX/adoHFLH5XqanynSO/QXmnHSt8p0BHqDkevey7Q1xXAswLf\nAYBOsestqb7Odwq0M3N10pbX438CLPjXPRu1BcV+c2SSPDia8kG/OTJZ9VTUduvrN0c625ZFbW21\n3xyZLPpt1PY9yW+OTJY+ErWlQ/zmSOfQbmnPBt8pMlv516gt7uU3R7Z69T7fCTLbFPAHnUAAKFyR\n+/bvkNY9IxX28J0E7cyShVfZzZKZ3zDp1NdGbdmX/OZoTOmQMJedFBX8p39UKuntO8nxkuv2gu/4\nzZFJMt/0j/vNkUl+oTTqXKn/GN9Jjpf8kPOC7/nNkUly3c75vN8c2Wr78qgNsfBPrtt3fcNnCiBY\nFK7IfdX7ovYdn/GbAx0n+NOrAy0Mg2eShX6xMtZt65iUF/ghSIhncaDt8oulmZ+Q8gPe/kL9MBHw\njFdldB0hfrIPAAAAoEkUrgAAAACAoFG4AiHY8FJ0lUguIAUAAAAch8IVCMHONVF7yuV+cwAAAAAB\nonAFQjJ0qu8EAAAAQHAoXAEAAAAAQaNwBQAAAAAEjcIVAAAAABA0ClcAAAAAQNAoXAEAAAAAQaNw\nBUKw6m++EwAAAADBonAFQrDm6ajt1s9vjkx6DfWdAAAAAF0YhSsQgoJiadrVUkkv30mON+ocqd9o\n3ykAANlg3bOSnO8UAHIQhSsQBIv/AmS8TAAAWqC6yncCADmII1IAAAC0n/d8y3cCADmIwhUAAADt\np6DEdwIAOYjCFQAAAAAQNApXAAAAAEDQKFwBAAAAAEGjcAV8c06q2uo7BQAAABAsClfAt8UPRm1o\nPzuzd7PvBAAAAIAkClfAv0O7o/asG/3maKjitagdNMlvDgAAAHR5FK5AKLr19Z0gvVM/5DsBOsq6\nZ6T6Ot8pAAAAmkThCiBr9d292HeExq17xneCphV2850gve3L4+9+O99J0gt93Yac7/B+aXO5WLet\nFHo+tB7rFmgUhStyn6v3nQAd7eR3+07QuP4n+06Q2Xk3+07QuNFlvhM0btg03wkyK+4l5eX7TpHZ\nkKm+EzRu9Lm+EzSu13DfCbJOyaEdUu1B3zGaNniy7wRAkChckfvWPxe1+YV+c6BjFPaQhgZ8ADz5\nMqmou+8U2Wv0eb4TZDb8DKn0BN8pMpt9k+8EjZt8me8EmZUOkQaO950is2nXSPkFvlNkneKayujG\ngLF+gzRmzNxwvzoEeEbhiq5j3IW+EwAAAN+mXuU7AYBWoHBF1zBgPL1eAAAAQJaicAUAAAAABI3C\nFQAAAAAQtFYXrmY2wsyeNrOlZvammX0uvr+fmT1lZqvitm98v5nZHWa22swWm1nAl2IEOtG6Z30n\nSG/qR6O252C/OQAAANDltaXHtVbSF5xzkyTNkvQZM5sk6UuS5jnnxkqaF/8vSRdKGhv/3SDpZ22Y\nN5B7ikt9JzjWmTdIX90u9RrqOwkAAAC6uFYXrs65Lc65V+Pb+yQtkzRM0qWS7osfdp+k98e3L5V0\nv4sskNTHzIa0OjmQS866Mcyf6yko8p0AAAAAaJ/vuJrZSEmnS3pJ0mDn3JZ40FZJyfMMh0namDLa\npvg+AAAAAAAyavOvV5tZT0kPS/oX59xeMzsyzDnnzMy1cHo3KDqVWAMHDlQikWhrROSQqqqqFm0T\n76ipUbGk/Qf265XAtqWe+9ZqRnx7w8aNWhtYvtBN27tXvSTV1dXpucCWXWHNXs2Ob2/btk1LA8s3\neOtyTYxvL1u2TG/vSviMc5xJ27drUHz7+RdeUG1h806jb+nrQ2vNqa9TvqQ9e/fqtcDWbZ9dizU1\nvr123TptqE/4jHOcMRs3aUR8u7y8XFWlOzt0fi3dJmYeOKDukqqrqzU/sHVbcnCLZsW3K7Zs0crA\n8g3btEpj49tvLHlDlVvD+gm6U3ftUr/4duKZhGT5PuMcw+prdW58e+fOnVoc2LodsH2JTlHn7LOd\nqbPeM9B+2lS4mlmhoqL1AefcH+O73zazIc65LfGpwNvi+zdLR96vJGl4fN8xnHN3S7pbksaPH+/K\nysraEhE5JpFIqEXbRHmRVCP16N6jZeN1hi19pYXRzRNHjNCJoeUL3ape0j4pPz8/vHW7v1J6Mbo5\naNAgDQot36IKaXl0c+LEiZp4WpnXOMfZdo+0Pbp59uzZUvd+jT8+1uLXh9Z6Pl+ql3r36hXetrcu\nT3o9ujl61CiNPqfMa5zjVD8VnW8lacaMGdKQUzt0di3eJt7oLh2UiouLw1u3O9dG57VJGjpkiIaG\nlu+lFdLq6OaUU6ZIE8q8xjnOhr7Sruhm2bllUl44havqDkvxdRr79esX3ra3rEp6s3P22c7Uae8Z\naDdtuaqwSfqVpGXOuR+lDHpU0jXx7WskPZJy/9Xx1YVnSdqTckoxAAAAAABptaXHdbakj0l6w8wW\nxffdLOm7kh4ys+skvSXpQ/Gwv0i6SNHncQckfbwN8wYAAAAAdBGtLlydc89LsgyD56Z5vJP0mdbO\nDwAAAADQNbXLVYUBAAAAAOgoFK4AAAAAgKBRuAIAAKD9hHTFXgA5g8IVCMHgKb4TAADQPkae7TsB\ngBxE4QqEYMoHfCcAAKDt+o2Rinr4TgEgB1G4AgAAAACCRuEKAAAAAAgahSsAAAAAIGgUrgAAAACA\noFG4AgAAAACCRuEKAAAAAAgahSsAAAAAIGgUrgAAAACAoFG4AshudTW+E2S3noN9J8g+tQej1jm/\nOdD+XH3U1tf5zQEAOA6FK4DsdHBX1LrADzBLh/pO0Lgx5/lO0LjiUt8JMivq7jtB4wZN9p2gcb0C\n3Dd2b/CdoHn6jfadAB2lW1/fCYBgUbgitx0pbur95kD7S/Z2XfBdvzmacuYNvhNkVlDiO0HjzrpR\nyi/0nSKzc/+v7wSNm3CR7wSZTb5M6jHAd4o04teV87/pN0ZTpl3tO0H2OeZDTvMWo0mzP+c7ARAs\nClfktuRppCdM8ZsDAAD4k/ywc/rHpTwOf4FsxJ6LrmHKB30nAAAAvvUa5jsBgFaicAUAAAAABI3C\nFQAAAAAQNApXAAAAAEDQKFwBAAAAAEGjcAUAAAAABI3CFQAAAAAQNApXAAAAAEDQKFwBoKtyzncC\nAACAZqFwBZCd9mz0nSB7Va6O2rpqvzky2V/pOwE6Ss1+3wkaV1/rOwEAIAMKVwDZKXmA2WuY3xxN\nKenjO8Hxag5E7Zwv+M2RyVvPR23o67bnYN8Jjndor+8EjVvxRNQWdveboymlQ3wnaFzoyy9E2XKG\nSY8BvhNkVh346wtyHoUrgOw28WLfCRrXLcDCNal7wAdIkjTzBt8JGjdgrO8Ex0t+oDPuQr85Mqk/\nHLXn/JvfHE0Zfa7vBJkV95YKS3ynyD7JD8QKiv3maEqvob4THK/q7ah97QG/OdDlUbiiaxhyqu8E\nANB58gt9J2icme8E2Sv0wit0Mz7uO0H2Sfa01h70mwNdHoUruobew30nAAAAvhWX+k6Qvfqc6DsB\nujgKVwAAAABA0ChcAQAA0Da1yauUZ8lFkABkHQpXwJfUn10wdkUAQBbbvDBqLd9vDgA5i6NlwLch\nU7lQCQAgu7m6qH3nV/3mAJCzKFwB3yhaAQC5gvc0AB2EwhUAuhpOTQcAAFmGoxfAt279fCdAR+l5\ngu8E6Z3+UWnkHGnCRb6TZECPTaslP5QI9Sc/Sof4TpD9Sgf7TpBeca+o5YOx1ssr8J0gvfyiqC3o\n5jcHurxA9xCgCxg0WTrjemnGdb6TZKd/+oVWLX5JY33nSKd7P+msG6VxF/pOkt7gSdK1j/tOkdlV\nf5A2vSzlBXqRl7lfkwaM950ivdHnSjP+WXrHZ30nSe+SO6Q3HpJ6j/CdJL2LfxJu4dX7RGnmJ6XT\nrvCdJL05X5AKSqRR5/pOkn3yC6Vz/k06cZbvJOlN+ZBUuVqafq3vJOjiKFyR+0r6+E6QXmGJ9N4f\n+k6RvU79kDbvHBRm4WomnX+r7xTZa+y7or9QzfmC7wSZlfSWLv6x7xSZDZ8e/YVqxsd9J8gsv0C6\n6Pu+U2TWf4x08Y98p8is9whpz0bfKTIL+aJWPQeG/bqCLiPrCtfDhw9r06ZNOnTokO8owSspKdHw\n4cNVWFjoO4o/n3xWKurpOwUAAPDp2se18LmnFPDHJgCakHWF66ZNm1RaWqqRI0fKuHJdRs45VVZW\natOmTRo1apTvOP4MOc13AgAA4FvfkdrXK8hzdAA0U6Bf5Mjs0KFD6t+/P0VrE8xM/fv3p2caAAAA\nQNbLusJVEkVrM7GcAAAAAOSCrCxcAQAAAABdB4VrO7r33ntVUVFx5P/rr79eS5culSSNHDlSO3bs\n6JD5AAAAAEAuo3BtRw0Lyl/+8peaNGlSh88HAAAAAHJZ1l1VONUtj72ppRV723Wak4b20tcvmdzo\nY9avX6+LL75YS5YskSTddtttuvfee7V+/XpdddVV6tatm+bPn68LL7xQt912m2bMmNHkfH/zm9/o\njjvuUE1Njc4880z993//tyTpuuuuU3l5ucxM//zP/6wRI0aovLz8mPl069at7U8cAAAAAAKV1YVr\nSD7wgQ8okUg0u1BNtWzZMj344IN64YUXVFhYqE9/+tN64IEHNHnyZG3evPlIgbx792716dNHd955\nZ6vmAwAAAADZKKsL16Z6RrPFvHnztHDhQp1xxhmSpIMHD2rQoEG65JJLtHbtWt14441673vfq/PP\nP99zUgAAAADofFlduPpSUFCg+vr6I/+39bdSnXO65ppr9J3vfOe4Ya+//rqefPJJ3XXXXXrooYd0\nzz33tGleAAAAAJBtuDhTKwwePFjbtm1TZWWlqqur9fjjj0uSSktLtW/fvhZPb+7cufrDH/6gbdu2\nSZJ27typt956Szt27FB9fb0uv/xy3XrrrXr11VfbNB8AAAAAyEb0uLZCYWGhvva1r2nmzJkaNmyY\nJkyYIEm69tpr9alPferIRZOaa9KkSbr11lt1/vnnq76+XoWFhfrpT3+qbt266eMf//iR3t1kj2zD\n+XBxJgAAAAC5jMK1lW666SbddNNNx91/+eWXH7mdSCSO3F6/fn2j07viiit0xRVXHHd/spe14TxS\n5wMAAAAAuYxThQEAAAAAQaPHtRNVVlZq7ty5x90/b9489e/f30MiAAAAAAgfhWsn6t+/vxYtWuQ7\nBgAAAABkFU4VBgAAAAAEjcIVAAAAABA0ClcAAAAAQNAoXAEAAAAAQaNwbUf33nuvKioqjvx//fXX\na+nSpZKkkSNHaseOHb6iAQAAAEDWonBtRw0L11/+8peaNGmSx0QAAAAAkP2y++dwnviStPWN9p3m\nCVOkC7/b6EPWr1+viy++WEuWLJEk3Xbbbbr33nu1fv16XXXVVerWrZvmz5+vCy+8ULfddptmzJjR\n5Gzf//73a+PGjTp06JA+97nP6YYbbtBdd92lNWvW6Ac/+IGkqDAuLy/XnXfeqW9+85v6zW9+o4ED\nB2rEiBGaPn26vvjFL7b9+QMAAABAYOhxbScf+MAHNGPGDD3wwANatGiRunXr1qLx77nnHi1cuFDl\n5eW64447VFlZqcsvv1z/+7//e+QxDz74oK688kq98sorevjhh/X666/riSeeUHl5eXs/HQAAAAAI\nRnb3uDbRM5pN7rjjjiNF6saNG7Vq1SrNmjVLo0eP1oIFCzR27FgtX75cs2fP1u23365LL71UJSUl\nKikp0SWXXOI5PQAAAAB0nOwuXD0pKChQfX39kf8PHTrUpuklEgn9/e9/1/z589W9e3eVlZUdmeaV\nV16phx56SBMmTNBll10mM2vTvAAAAAAg23CqcCsMHjxY27ZtU2Vlpaqrq/X4449LkkpLS7Vv374W\nT2/Pnj3q27evunfvruXLl2vBggVHhl122WV65JFH9Lvf/U5XXnmlJGn27Nl67LHHdOjQIVVVVR2Z\nPwAAAADkInpcW6GwsFBf+9rXNHPmTA0bNkwTJkyQJF177bX61Kc+deTiTM11wQUX6K677tLEiRM1\nfvx4zZo168iwvn37auLEiVq6dKlmzpwpSTrjjDP0vve9T6eeeqoGDx6sKVOmqHfv3u37JAEAAAAg\nEBSurXTTTTfppptuOu7+yy+//MjtRCJx5Pb69eszTqu4uFhPPPFExuHpelS/+MUv6hvf+IYOHDig\nc845R9OnT29ecAAAAADIMhSuWeqGG27Q0qVLdejQIV1zzTWaNm2a70gAAAAA0CEoXDuTRVp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MDQNK4AAAAMTeMKAADA0DSuAAAADG2ljWtVvamq7qiqT61yvwAAAOxdqz7i+uYkz17x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\nGlcAAACG9v8A+xIeyC1PC2kAAAAASUVORK5CYII=\n",
"text/plain": "<matplotlib.figure.Figure at 0x7ff55f6ffc90>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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Hi+H7gOXF8ApgY8c0m4qy8Y4yImI1rTPALFu2jEaj0aeQq2+o2QRgYv/9S46k\nu0HHuGPHjjn1iaFmk6UTEzy2dWtp7dirjWYTX5n9YHh0FIDxCn4Ph5pNcudOms1mJb8jVeh7vVQ9\nvvn2vbluI+aj6m1X9fgGuV1ZjPuMXqoQ30z7tG51VXDwzp2Mjo5Wdp9W9rrtpZ/rdrp5d5bt7rLb\n0y+dmADYpY33ffTRXY4jZloP/VpP7RjbqtgHqqC0hDcilgJvAj40tS4zMyJyLvPLzDXAGoCRkZFc\ntWrVQoS5OE1Ott6r3AYDjrHRaDCnPjE5CePjMDxcXjv2aqPZxFdmP9iwAYCRKvbByUlGJyYYOfro\nan5HqtD3eql6fPPse3PeRsxH1duu6vENcLuyKPcZvVQhvpn2ad3qKmB03TpGRkYqu08rfd320s91\nO928O8t2d9nt6ceLc2wdbdxcv56jO48jZloP/VpP7RjbqtgHKqDMS5pPAb6dmfcXn+9vX6pcvG8p\nyjcDh3VMd2hRJkmSJElSV2UmvGfx9OXMAGuBs4vhs4GrOsrfVjyt+QTgwY5LnyVJkiRJmlYplzRH\nxH7A64Df7ij+GHBFRJwD3AucUZRfDZwKjNF6ovM7BhiqJEmSJGmRKiXhzcyHgKEpZRO0nto8ddwE\nzh1QaJIkSZKkmij7Z4kkSZIkSeoLE15JkiRJUi2Z8EqSJEmSasmEV5IkSZJUSya8kiRJkqRaMuGV\nJEmSJNWSCa8kSZIkqZZMeCVJkiRJtWTCK0mSJEmqJRNeSZIkSVItmfBKkiRJkmrJhFeSJEmSVEsm\nvJIkSZKkWjLhlSRJkiTVkgmvJEmSJKmWTHglSZIkSbVkwitJkiRJqiUTXkmSJElSLZWS8EbEgRHx\nxYi4KyLujIhXRsTBEXFtRNxdvB9UjBsRcUFEjEXEbRFxTBkxS5IkSZIWl7LO8H4C+Gpmvhh4GXAn\ncB5wXWauBK4rPgOcAqwsXquBCwcfriRJkiRpsRl4whsRzwFeA1wEkJmPZeYDwOnAJcVolwBvLoZP\nBy7NluuBAyNieMBhS5IkSZIWmSUlLPNw4MfAZyPiZcAtwHuB5Zk5XoxzH7C8GF4BbOyYflNRNo66\nm5iAdevKjqK7iQkYGio7iurrth4nJnrXt+tsY0lSVfTap7m/qq9+HZN26zft5S1Ev2ofb3Wra/9d\nMx2Xzea4bb7x+d2ZURkJ7xLgGODdmXlDRHyCpy9fBiAzMyJyLjONiNW0Lnlm2bJlNBqNBQp38dl3\n2zae9aPkOz1AAAAIUUlEQVQfwY9+VHYoPT0SwcMDWk87duyYU5/Yd9s2nrV1K4/ss8/AYpw2hh7r\nMZ54glyypOd6HmQbdzq42LBvq+D3cN9t22C//bhx27bS1m0vVeh7vVQ9vvn2vbluI+aj6m1X9fgG\nuV1ZjPuMXqoQ30z7tLL2V7Ox77OfzW0TE5Xdp5W9bnvp9zHp1H4zdXm706/a81pabHse7Gzjgw6i\nOeXvmum4bDbHbfPxSARLJicB2F7BPlAFZSS8m4BNmXlD8fmLtBLe+yNiODPHi0uWtxT1m4HDOqY/\ntCjbRWauAdYAjIyM5KpVq/oUvhajRqOBfWKAKt7W9ocam+d6tU8sAgNcP/YHdWoAx9sf1KEBHG2f\nWDQGfg9vZt4HbIyIkaLoROC7wFrg7KLsbOCqYngt8Lbiac0nAA92XPosSZIkSdK0yjjDC/Bu4LKI\nWArcA7yDVvJ9RUScA9wLnFGMezVwKjAGPFyMK0mSJElST6UkvJl5K3DcNFUnTjNuAuf2PShJkiRJ\nUq2U9Tu8kiRJkiT1lQmvJEmSJKmWTHglSZIkSbVkwitJkiRJqiUTXkmSJElSLZnwSpIkSZJqyYRX\nkiRJklRLJrySJEmSpFoy4ZUkSZIk1ZIJryRJkiSplkx4JUmSJEm1ZMIrSZIkSaolE15JkiRJUi2Z\n8EqSJEmSasmEV5IkSZJUSya8kiRJkqRaMuGVJEmSJNWSCa8kSZIkqZZMeCVJkiRJtVRKwhsRP4iI\nZkTcGhE3F2UHR8S1EXF38X5QUR4RcUFEjEXEbRFxTBkxS5IkSZIWlzLP8L42M1+emccVn88DrsvM\nlcB1xWeAU4CVxWs1cOHAI5UkSZIkLTpVuqT5dOCSYvgS4M0d5Zdmy/XAgRExXEaAkiRJkqTFY0lJ\ny03gmohI4NOZuQZYnpnjRf19wPJieAWwsWPaTUXZeEcZEbGa1hlggJ0RcXu/gteidAiwtewgVBn2\nB01ln1An+4M62R80lX2iGn5uNiOVlfC+OjM3R8RzgWsj4q7OyszMIhmetSJpXgMQETd3XCot2Se0\nC/uDprJPqJP9QZ3sD5rKPrG4lHJJc2ZuLt63AFcCxwP3ty9VLt63FKNvBg7rmPzQokySJEmSpK4G\nnvBGxH4RsX97GDgJuB1YC5xdjHY2cFUxvBZ4W/G05hOABzsufZYkSZIkaVplXNK8HLgyItrL/3xm\nfjUibgKuiIhzgHuBM4rxrwZOBcaAh4F3zGIZaxY8ai129gl1sj9oKvuEOtkf1Mn+oKnsE4tIZM7p\nVllJkiRJkhaFKv0skSRJkiRJC8aEV5IkSZJUS7VLeCPi5IgYjYixiDiv7HhUroi4OCK2+LvMAoiI\nwyLiGxHx3Yi4IyLeW3ZMKk9EPDMiboyI/1f0hz8qOyaVLyL2iojvRMRXyo5F5YuIH0REMyJujYib\ny45H5YqIAyPiixFxV0TcGRGvLDsmzaxW9/BGxF7ABuB1wCbgJuCszPxuqYGpNBHxGmAHcGlmvrTs\neFSu4ifPhjPz28XT4m8B3uw2Ys8Uracn7peZOyJib+Bfgfdm5vUlh6YSRcT7geOAAzLzjWXHo3JF\nxA+A4zJza9mxqHwRcQnwL5n5mYhYCuybmQ+UHZd6q9sZ3uOBscy8JzMfA74AnF5yTCpRZn4T2FZ2\nHKqGzBzPzG8Xw5PAncCKcqNSWbJlR/Fx7+JVn/8Ca84i4lDgDcBnyo5FUrVExHOA1wAXAWTmYya7\ni0PdEt4VwMaOz5vwYFbSNCLihcAvADeUG4nKVFy+eiuwBbg2M+0Pe7a/An4PeKrsQFQZCVwTEbdE\nxOqyg1GpDgd+DHy2uO3hMxGxX9lBaWZ1S3glaUYR8WzgS8D7MnN72fGoPJn5ZGa+HDgUOD4ivPVh\nDxURbwS2ZOYtZceiSnl1Zh4DnAKcW9wqpT3TEuAY4MLM/AXgIcDnBS0CdUt4NwOHdXw+tCiTJACK\nezW/BFyWmV8uOx5VQ3FZ2jeAk8uORaV5FfCm4p7NLwC/FBF/V25IKltmbi7etwBX0rp9TnumTcCm\njiuBvkgrAVbF1S3hvQlYGRGHFzeSnwmsLTkmSRVRPKToIuDOzPyfZcejckXEsog4sBh+Fq0HHt5V\nblQqS2Z+KDMPzcwX0jp++HpmvqXksFSiiNiveMAhxaWrJwH+6sMeKjPvAzZGxEhRdCLgQy8XgSVl\nB7CQMvOJiHgX8DVgL+DizLyj5LBUooi4HFgFHBIRm4DzM/OicqNSiV4FvBVoFvdtAvx+Zl5dYkwq\nzzBwSfGE/2cAV2SmP0UjqW05cGXrf6UsAT6fmV8tNySV7N3AZcWJtXuAd5Qcj2ahVj9LJEmSJElS\nW90uaZYkSZIkCTDhlSRJkiTVlAmvJEmSJKmWTHglSZIkSbVkwitJkiRJqqVa/SyRJEl1EBFDwHXF\nx+cBTwI/Lj4/nJn/vpTAJElaZPxZIkmSKiwiPgzsyMy/KDsWSZIWGy9pliRpEYmIHcX7qoj454i4\nKiLuiYiPRcRvRMSNEdGMiJ8vxlsWEV+KiJuK16vK/QskSRocE15JkhavlwHvBI4E3gq8KDOPBz4D\nvLsY5xPAxzPzF4FfLeokSdojeA+vJEmL102ZOQ4QEd8DrinKm8Bri+FfBo6KiPY0B0TEszNzx0Aj\nlSSpBCa8kiQtXjs7hp/q+PwUT+/jnwGckJmPDjIwSZKqwEuaJUmqt2t4+vJmIuLlJcYiSdJAmfBK\nklRv7wGOi4jbIuK7tO75lSRpj+DPEkmSJEmSaskzvJIkSZKkWjLhlSRJkiTVkgmvJEmSJKmWTHgl\nSZIkSbVkwitJkiRJqiUTXkmSJElSLZnwSpIkSZJq6f8DwxGEi57brk4AAAAASUVORK5CYII=\n",
"text/plain": "<matplotlib.figure.Figure at 0x7ff55f6ffd10>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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"text/plain": "<matplotlib.figure.Figure at 0x7ff55f6ff490>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"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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RHdRNnBi9Y0VCKWDUKOCMM3Qt6CRBcUExJqw4HoCAAbhhrlSef76uBV2pbDtu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"text/plain": "<matplotlib.figure.Figure at 0x7ff5903e3e10>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Ramp (5-25-45ms, 100ms) tasks"
},
{
"metadata": {
"collapsed": true,
"trusted": true
},
"cell_type": "code",
"source": "test_id = 'ramp5_60'",
"execution_count": 12,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"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": 13,
"outputs": [
{
"output_type": "stream",
"text": "10:44:46 INFO : Setup new workload ramp5_60\n10:44:46 INFO : Workload duration defined by longest task\n10:44:46 INFO : Default policy: SCHED_OTHER\n10:44:46 INFO : ------------------------\n10:44:46 INFO : task [ramp5_60], sched: using default policy\n10:44:46 INFO : | loops count: 1\n10:44:46 INFO : | CPUs affinity: 2\n10:44:46 INFO : + phase_000001: duration 1.000000 [s] (10 loops)\n10:44:46 INFO : | period 100000 [us], duty_cycle 5 %\n10:44:46 INFO : | run_time 5000 [us], sleep_time 95000 [us]\n10:44:46 INFO : + phase_000002: duration 1.000000 [s] (10 loops)\n10:44:46 INFO : | period 100000 [us], duty_cycle 25 %\n10:44:46 INFO : | run_time 25000 [us], sleep_time 75000 [us]\n10:44:46 INFO : + phase_000003: duration 1.000000 [s] (10 loops)\n10:44:46 INFO : | period 100000 [us], duty_cycle 45 %\n10:44:46 INFO : | run_time 45000 [us], sleep_time 55000 [us]\n",
"name": "stderr"
}
]
},
{
"metadata": {
"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": 14,
"outputs": [
{
"output_type": "stream",
"text": "10:44:46 INFO : #### Set [schedutil] CPUFreq governor\n10:44:51 INFO : #### Enable Utilization estimation\n10:44:52 INFO : #### Setup FTrace\n10:44:56 INFO : #### Start RTApp execution\n10:44:56 INFO : Workload execution START:\n10:44:56 INFO : /root/devlib-target/bin/rt-app /root/devlib-target/ramp5_60_00.json 2>&1\n10:44:59 INFO : #### Stop FTrace\n10:45:00 INFO : #### Save FTrace: /data/Code/lisa/results/OSPM_EstimatedUtilization/trace_ramp5_60.dat\n10:45:03 INFO : #### Save platform description: /data/Code/lisa/results/OSPM_EstimatedUtilization/platform.json\n10:45:03 INFO : #### Parse trace\n",
"name": "stderr"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "plot_signals(trace, tasks, cpus=2, additional_signals=[], x_min=0, x_max=None)",
"execution_count": 15,
"outputs": [
{
"output_type": "stream",
"text": "10:45:04 INFO : Plotting [2601:ramp5_60]...\n10:45:04 INFO : CPU02 average frequency: 0.826 GHz\n",
"name": "stderr"
},
{
"output_type": "display_data",
"data": {
"image/png": 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r8jxQgKGbN+wGdu/rGRsrT3rnWc/691my5LIkeco0003fZ9OP6336l+Pz8r++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\nSZI0jwy0xzUz74yIlwD/CSwAPpKZFwwyBkmSJEnS/DLwe1w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"text/plain": "<matplotlib.figure.Figure at 0x7ff59085a390>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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"text/plain": "<matplotlib.figure.Figure at 0x7ff5904995d0>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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LkiRJkirNYCxJkiRJqjSDsSRJkiSp0gzGkiRJkqRKMxhLkiRJkirNYCxJkiRJqjSDsSRJ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\n",
"text/plain": "<matplotlib.figure.Figure at 0x7ff590294d10>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"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": 16,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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LaMQBAAAAAHARjTgAAAAAAC6iEQcAAAAAwEU04gAAAAAAuIhGHAAAAAAAF9GIAwAAAADg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yeffKIRI0bI09NTkjR8+HDt2LFDoaGhWrZsmTZt2iRJOnHihL799lsdPXpUCQkJ8vPz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\nYII=\n",
"text/plain": "<matplotlib.figure.Figure at 0x7ff58bc38910>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Two tasks (50%) on same CPU with long period (400ms)"
},
{
"metadata": {
"collapsed": true,
"trusted": true
},
"cell_type": "code",
"source": "test_id = 'two_tasks'",
"execution_count": 17,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"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": "10:45:05 INFO : Setup new workload two_tasks\n10:45:05 INFO : Workload duration defined by longest task\n10:45:05 INFO : Default policy: SCHED_OTHER\n10:45:05 INFO : ------------------------\n10:45:05 INFO : task [p20_400], sched: using default policy\n10:45:05 INFO : | start delay: 0.350000 [s]\n10:45:05 INFO : | loops count: 1\n10:45:05 INFO : | CPUs affinity: [2]\n10:45:05 INFO : + phase_000001: duration 5.000000 [s] (12 loops)\n10:45:05 INFO : | period 400000 [us], duty_cycle 20 %\n10:45:05 INFO : | run_time 80000 [us], sleep_time 320000 [us]\n10:45:05 INFO : ------------------------\n10:45:05 INFO : task [p50_400], sched: using default policy\n10:45:05 INFO : | loops count: 1\n10:45:05 INFO : | CPUs affinity: [2]\n10:45:05 INFO : + phase_000001: duration 5.000000 [s] (12 loops)\n10:45:05 INFO : | period 400000 [us], duty_cycle 50 %\n10:45:05 INFO : | run_time 200000 [us], sleep_time 200000 [us]\n",
"name": "stderr"
}
]
},
{
"metadata": {
"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": 19,
"outputs": [
{
"output_type": "stream",
"text": "10:45:06 INFO : #### Set [schedutil] CPUFreq governor\n10:45:11 INFO : #### Enable Utilization estimation\n10:45:11 INFO : #### Setup FTrace\n10:45:15 INFO : #### Start RTApp execution\n10:45:15 INFO : Workload execution START:\n10:45:15 INFO : /root/devlib-target/bin/rt-app /root/devlib-target/two_tasks_00.json 2>&1\n10:45:21 INFO : #### Stop FTrace\n10:45:22 INFO : #### Save FTrace: /data/Code/lisa/results/OSPM_EstimatedUtilization/trace_two_tasks.dat\n10:45:25 INFO : #### Save platform description: /data/Code/lisa/results/OSPM_EstimatedUtilization/platform.json\n10:45:25 INFO : #### Parse trace\n",
"name": "stderr"
}
]
},
{
"metadata": {
"scrolled": false,
"trusted": true
},
"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": "10:45:26 INFO : Plotting [2647:p50_400]...\n10:45:26 INFO : Plotting [2646:p20_400]...\n10:45:27 INFO : CPU02 average frequency: 0.898 GHz\n",
"name": "stderr"
},
{
"output_type": "display_data",
"data": {
"image/png": 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r5I8xNNsS5l0X8ae0aa37pau9B4bN0VHVL7oa6yQiJw+6pin7wUGMNj7g6sBI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vd3k9yU5PVzzgAAAMAuMu/G9aIkX95w++HJfQAAALCp6u75bazqN5Jc2d1vmdx+U5KXdvdbNzzm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\n",
"text/plain": "<matplotlib.figure.Figure at 0x7ff58bb6d0d0>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"image/png": 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7fvumHL9906jLWLhJeFMyCX1g9CZhHk1CHxi9SZhHfnEDLIDgCgAAQK8Jrqx4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\nwTwPB/M8HMzz4DPHw6HpeZ6YmFiXmatnW25pL4K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"text/plain": "<matplotlib.figure.Figure at 0x7ff58bc1e190>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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"text/plain": "<matplotlib.figure.Figure at 0x7ff58bad7e10>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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B+wFjgcMiYmxjq5Lqsgz4TGaOBcYDHy+P3ROBWzJzNHBL+V4aCI4DHq55fzpw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\nSUVORK5CYII=\n",
"text/plain": "<matplotlib.figure.Figure at 0x7ff58976e4d0>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"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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3fZsT7ftLXkXfNmU/f0hR3PdtTke/N7pGDShURxTivTL3S1avZr/fHtmH9CpU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\nvU4Qv3fe8TpB/BYt8jpB/Fas8DpB/DZu9DpB/D7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d7Xprn4+4sSu528TseXmk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\nbWh6TYfko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enp6Vq2bJmsVqvOnz+vXr16adCgQRo1apTeeustTZs2TW+99ZY2bNigb775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\nBqvVKh8fpsZC/fL/AaXZBDakE2pvAAAAAElFTkSuQmCC\n",
"text/plain": "<matplotlib.figure.Figure at 0x7ff59069b910>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Render Thread simulation"
},
{
"metadata": {
"collapsed": true,
"trusted": true
},
"cell_type": "code",
"source": "test_id = 'render'",
"execution_count": 22,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"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": "10:45:28 INFO : Setup new workload render\n10:45:28 INFO : Workload duration defined by longest task\n10:45:28 INFO : Default policy: SCHED_OTHER\n10:45:28 INFO : ------------------------\n10:45:28 INFO : task [render], sched: using default policy\n10:45:28 INFO : | loops count: 1\n10:45:28 INFO : | CPUs affinity: [2]\n10:45:28 INFO : + phase_000001: duration 5.000000 [s] (312 loops)\n10:45:28 INFO : | period 16000 [us], duty_cycle 62 %\n10:45:28 INFO : | run_time 9920 [us], sleep_time 6080 [us]\n",
"name": "stderr"
}
]
},
{
"metadata": {
"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": 24,
"outputs": [
{
"output_type": "stream",
"text": "10:45:28 INFO : #### Set [schedutil] CPUFreq governor\n10:45:34 INFO : #### Enable Utilization estimation\n10:45:34 INFO : #### Setup FTrace\n10:45:38 INFO : #### Start RTApp execution\n10:45:38 INFO : Workload execution START:\n10:45:38 INFO : /root/devlib-target/bin/rt-app /root/devlib-target/render_00.json 2>&1\n10:45:44 INFO : #### Stop FTrace\n10:45:45 INFO : #### Save FTrace: /data/Code/lisa/results/OSPM_EstimatedUtilization/trace_render.dat\n10:45:51 INFO : #### Save platform description: /data/Code/lisa/results/OSPM_EstimatedUtilization/platform.json\n10:45:51 INFO : #### Parse trace\n",
"name": "stderr"
}
]
},
{
"metadata": {
"trusted": true
},
"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": "10:45:52 INFO : Plotting [2696:render]...\n10:45:53 INFO : CPU02 average frequency: 1.047 GHz\n",
"name": "stderr"
},
{
"output_type": "display_data",
"data": {
"image/png": 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ez9nP3pCJG1bklL7HX3IeL3VxdzDb/iRPd1y/+RWZlvV5Wd+STC/r8/ebX57p\nWZ9X99/e7artts9vvjhJyVv6v/GS47Ktf9p8YaZmOBf33b3NxXYvGa0lfWXXrycO5eMzHCr+6cif\nzOt/+nf36zIE1961J8HVrcK0zpLbbsrqb/1NPv3Pf5TLNn8tg3VzXlbWZst7frt4l82hfFEktLbD\n2/pv3ub5m/tv7VJN9t5b+m/pdhUOWq/vX9ztKnTd7oTW5NA+PsMho8WdW/QmwZXWmfiPP5+3bnpg\n6wAfyQAAgJ4muNIaN1/7S5nx2E05Y+SBlx4ZAADoGYIrXbdxw3Cee25FznvomkzOcLerAwAAtIzg\nStc98ruLcsrGu7tdDQAAoKUO3A+gwU4IrQAAwIsRXAEAAGg1wRUAAIBWE1wBAABoNcEVAACAVhNc\nAQAAaDU/h0PX3Hfz5/Lkfd/Kq7tdEQAAtjFr6mC3qwDbEFzpmpP+8cdySmq3qwEAwHZetuDwblcB\ntiG4csDd/PFfyZTHvpJzhVYAAGAXCK4cMBuG1+X5NWvzigc/0u2qAAAABxHBlf2qjo7mlj/+99m0\n/vksXPW1HFFWdrtKAADAQUZwZb96fuXyXPL0J5onpbt1AQAADk5+Dof9ZtWKZ/L0sie6XQ0AAOAg\np8eV/WLN889lxkdOzoxuVwQAADjo6XFlvxhe83y3qwAAABwiBFcAAABaza3C7FMbNwzn9t9/dwY3\nrMicblcGAAA4JAiu7FPPPP5QLlz95W5XAwDg0DbxsGTD80n/YLJ5Y7drA/udW4VhX5h0CH4NVf9g\nt2sA+1bfhOZx4mHdrccB4ffHGKdPP8VBaft2m9i51pg088DXBVpAcIVdUTq7yoQpzePYSWP7wDow\n6cDV6UAZnN48blnnzuPgtOZxLAwcCvonNo9bLg62u0gYa/9DyVg7joW5scexdj+U38DYfj8eW+fS\n35367A9jx6Tt13Xs8VDapscu8idMbR63X+ex/fpQ2qbH1mVsv33BNj3twNdpv+m8GTO2zW4f4sbW\neWDytuMfCsaOTQfaP/9ud5YLOyG4ss+sW7Mqq9es7nY14AA4hC6IxpSy7WOf0wNAK007snmcdfz+\nXc7I8P6dP+wmVybsE88+9Vim/M5xOe0z39/tqrCnxt6xLw4L+84BCLgnXd603eTDm+dt6wEfmJRM\nmZ2c8oYDv+yxHplD6TbJky5vepR+6K+SV/9CMv/iZrhbBw8tB6rXvxs97ie/rtk3d7bNjt35wlYT\nOz2uA52SvBsRAAAgAElEQVQe9rPemfzcXckbfqt5fuJlzePYeQAOUYfQ2ZxuWvvcsgP3LcKD05ON\nu9mz+/KfSpbdlRz/yuShrybDq5rnM49PVj6SzFqQPPfwzqfvG2i++GDsYmIs3B1/abLqseTcH06+\n+4lk/iXJN/8kOeKMZv5zFibPLkmmH52sfmJP1valDUzavXdFL/qJ5InvJGdcmdz1d82tZA//c/LW\nDyeb1icTJif/8ntb12n2Kcmdn0kOPyF54tvjHk9MnvpeMuPY5LmHkiPOTPr6k3Peldz+qea1/sZH\nm/FWPLj1tZ4yO1m3/EWr+OzsizPnhLOS9Sua2/6+85dNQelL6mgzbNPa5sJneGUydW6y9pk9fw37\nBpLRkeSwec12MHF6smFVtgTPspsB9KTLk3Pfncw5NfnCLyTHXZJ8/SPJ9HnJ6ieTmcclb/zt5l3z\nr/x2s/09/3gydU6y+M+3q9uEZHTT1i/h2N7bP5pMPypZdk/y9B3JvHOb9tmwOvn2XzTbx6M3b13H\n3TW2ze/O9PMvTha+KZl1QjL7pOSos5vhS/6haauv/p9kxjFNm02akXzr49tOv7vb9JgL35s8+Z1x\n2/T/3XabPufdyfc+uXWbnrWgGX/WCc3j7BOTJ7/bbNMrH9m6ve2qI85IFv3XZOb85Eu/lhx1TrLs\n7mT2ycktf9jc1vkj1yX9E5Jv/2Xzet7xmaRu3rpNv+9Lybpnk6W3JY/dkrz+15PnHmnqc/fnk3d9\nPJnYuf3z9Lc0ZY98PTn+Fc1j/2DytQ8367DkC8mcU5Knbt+6346t69S5zXFwS/t2trMD6eKfTlY8\n0ByP1i7Lt87/YC445Zjk2XuT+77YbMPL7mz2l5WPbj1Ozz45WX5/047L79t6ThjbRvu2O05vvx9v\nOY73N6/9rph/cbNfP/SV5Ojzk5t/P5kyp2mrSTOa13JgcnLq65t9deyLcr73183jwORkZP3Wcbf3\nsp9s2umU72/2kzf/TvLMvc1+sPjPkjN/ILnjU00wefDL255jnu6075PfTSZ3jolj6370+c3zc384\n+e4nk+Nekdz6x8nZ70pOem3nGPVfmnPZzb+/9Tg9Y35zbhs7Zk07MlnzdBM4N+yg/rti7Dz8w59s\n9oGxY9baZ/P81/40hx12WPL44uRf/Xln2yzNOWTKnOSBGzvrfGfT/k99Lzl8QbPOY9v21COa6SYd\nlqxZv3X8w45Nnl+6a3U87pXJCd/X7Evzzm1ek7HzzNg+WvqTs36g2d5Kf7JpXXLP55s2/8kbm/Pb\nI19r6nbMRcmj30jWPNVss2N1GXudd+a8f92s47nvbs7Db/jNZh+YOje56deTE1/THENnHJP82qpk\n47rkzr9tzrc3/H+d8/DfNO26o/PwWPuOrdv2xrbThVfsSUvDflNqrd2uw04tXLiwLlmypNvVYBc8\ncvfiHP/Xr93/C/qZW5PBqck3r0kmz0o2rm1OgEmyeVNTtv655iS76rHmYP3MkuRNv71t+Fi7vCmf\neVxzIXT4icnyB5oT8nc+kZzxtuSuzyZnvL05GZz1A8kdn07O+sHm4mHs8TUfSOaeunW+o5ubC86j\nzkqevrNz4rw7Oezo5Mb/kZz25uSeLyQL35jc+0/JKa9LHrgpOeE1zYlu/sXNifuos5t6H35ic7Ka\nPq85GU6cloxsbC5K+vqbi/ILfiwZ2ZA88OVmXeac0iz76POauhz3iuYi/sRFzbLe8qFkYNw72htW\nNxcQx16044A2sqG5sDzq7ObCavvHaXOTm34jufinkvkv3zpdrcnj30rmnNy8toef0FxkH3Z0cuP/\nTBa8qjmhH3tRc4I/4vTk2fuTWcdnaP3CLFq0aOu8VjzUBIi+gaadByY26z44tan/5JnN6/Pk95qQ\ntuBVzQXmSa9N7vtScuobkiU3JKddkdzz98npb91B+34mueyXkrXPJhMmNRf/Z72zafcjTk9u+l9N\nr+F9/9j0GNz/pebC5snvbr2ou+gnkvP/dXL4SU2dxnvq9ma8tc804X36UTvexpc/sPWis4422/fI\nhiZ8bVybPPwvzbZx1NnJE99KrvjdF7+td/j5JghsWtcExDOuTO78u2TK4cmtVyenvim594YXPl76\nn5t95Kx3Nq/N2Gt05jua1+70tzYXa9tv0wvf2Cxjd6x4sHksfbnl5q/n4le+atw2/VBzcf1i2/TY\nxf5bfm/rNrHL2/T3moA5fpueOif58m921vXvOm/yXL/tOi+5ITnl9c12cMr3N20+fV6zP+zIs/c1\n2+3M47Yd/twj227T448ne2PT+mZ/OOqs5Kk7XrjfTp7ZvGmy5Zj2znHtu/06/33zRsS9/9gcs+6/\nqXntH/7npi2WfrPZF5bd1Rx/VjzUBOc1y5rlbFyX9A8kKc3F/cTpzf76ul9r6vr8E8nwqgzd9fS2\n+/3OjtNzTmm26bkLm3aum5Nb/2TccfqdOz5e72hd7/zbrdv0GW9L7v7crm3TT9/VnIOGVzXrs3Ft\ns4/OnL9d+z7cnBf6B7c9Zj32jaZdjj4/WXpr8ubf2xq4X8zGtc2+cOSZWx/Ht+/Eac3nEsfW9VU/\nt/WNoyQZHU0ev605N00c9/nXWjtvbCxozjkz5jdvpk2f1xzbps5t3kicNCO5+Q+aNln9ZHMs27C6\n2X7raLOuEyY3r8uUOc0btjOPb0LbGz+40zcBh4aGsuji85o3Mo6+YNvxxq/zjrblLdv0rOQrH0xe\n8R+afWrsPDztyCbsbdmm3/LC8/D9NyUnv7bZNsZbdnezzhvWNOs1sqE5Jm9/i+7KR5uyOafsuN3W\nPNO8XjOObcYd26bXPtu002lvaba9sWuPN/xmMu2Il94eXso25+H7m33ouYebNln1WDLtqGToN5Nj\nX96cT446u3kDfuL0ZnudfuTW3t79ZGhoaNv9np4xvu1LKYtrrRe91DSCK/vEfgmuk2Y2B8wTXt2c\n3Gce37ybzSGvlSeytcubsLduxdbHgcHk5o82FxvTjmy22YPls6G1brsuU2c36zj+sQta2fYcENq+\nd2n73qXte9eeBFe3CtNKt5/1yzn7NVfuu94H2FtjQW77x0W/2J367K1Sdr5OXQqtAAA7c5B0DdBT\nzrgyy+e8TGgFAACS6HFlL615/rnce/WPZ+KGFXs/s3nnJe/9QvMlFl/96t7PDwAAOCQIruyVJ+7/\nbi5Ys5chc9LM5J1/2nwBzuDUfVMxAADgkCG40n3nvrv5Vk4AAIAdEFzpnlkLkp/55tYf1AYAANgB\nX85EdwmtAADASxBc6Z4Z8196HAAAoOe5VZgD78izk4t/Klnwqm7XBAAAOAgIrhx4/QPJBT/W7VoA\nAAAHCbcKAwAA0GqCKwdA6XYFAACAg5jgyoF3wqu7XQMAAOAg4jOu7JXlt39x54WlL6mjW5+feFny\nrmuTiYft/4oBAACHDD2u7JX+lQ/tvHBg8guHTZqRFLcOAwAAu26vgmspZWYp5VOllHtKKXeXUl5R\nSjm8lPLFUsp9ncdZnXFLKeUjpZT7SynfK6VcsG9Wge4SQgEAgP1rb3tcP5zkH2qtpyU5N8ndST6Q\n5MZa6ylJbuw8T5I3JTml83dVkj/cy2UDAADQA/Y4uJZSZiR5dZJrkqTWurHWujLJlUmu7Yx2bZK3\nd/6/MsnHa+MbSWaWUubtcc0BAADoCXvz5UwnJHkmyZ+VUs5NsjjJzyY5stb6ZGecp5Ic2fn/mCSP\njZt+aWfYk+OGpZRyVZoe2cydOzdDQ0N7UUX2u3XrXjBopH9qBjavzebNm9OfZP2kuZk8vCz3lxOy\ndBfbc82aNdq+h2n/3qXte5e2713avndp+961J22/N8F1IMkFSf5jrfWWUsqHs/W24CRJrbWWUuru\nzLTWenWSq5Nk4cKFddGiRXtRRfa3W7/7J8mGbYcNDAwkm5P+/v5kNJl80qXJO6/JyX39OXkX5zs0\nNBRt37u0f+/S9r1L2/cubd+7tH3v2pO235vPuC5NsrTWekvn+afSBNmnx24B7jwu65Q/nmT+uOmP\n7QzjUDV1dvN4xBlJX3936wIAABy09ji41lqfSvJYKWVhZ9DlSe5Kcn2S93SGvSfJZzv/X5/kxzvf\nLnxJklXjbinmUHTy65L335O8+he6XRMAAOAgtje3CifJf0zyV6WUwSQPJnlvmjB8XSnlfUkeSfKu\nzrhfSHJFkvuTrOuMy0Hs2//0lznu+cUvPtJhvn8LAADYO3sVXGut30ly0Q6KLt/BuDXJz+zN8miP\nZY8/lPO/vl1zTpqZDK9Mph+VbFiVzD29O5UDAAAOKXvb40qPGtm4YeeFp12RvPIfkimHH7gKAQAA\nh6y9+XIm2DmhFQAA2EcEVwAAAFpNcAUAAKDVfMaVfeeU70/WPpuc/rZu1wQAADiECK7sO0ednVz6\ns92uBQAAcIhxqzB7b9LMbtcAAAA4hAmuAAAAtJrgCgAAQKsJruy9YjMCAAD2H1/OxN47513JmmXJ\nwiu6XRMAAOAQJLiy9448M3nTb3e7FgAAwCHKPZ4AAAC0muAKAABAqwmu7JG1K5d1uwoAAECPEFzZ\nI6tu+r/drgIAANAjBFf2jJ/AAQAADhDpg703MLnbNQAAAA5hgit77LnMSH7008kZb+t2VQAAgEOY\n4MoeW1cmJae8LhmY2O2qAAAAhzDBFQAAgFYTXAEAAGg1wRUAAIBWE1wBAABoNcEVAACAVhNc2SNz\n1tyTktrtagAAAD1AcGW3LXv8oSwYfSzT6tpuVwUAAOgBgiu7bcP6NUmSu0796S7XBAAA6AWCK3ts\nYNrcblcBAADoAYIrAAAArSa4sttWPnF/t6sAAAD0EMGV3TZ96Fe6XQUAAKCHCK7sthVTTkySDB7m\nM64AAMD+N9DtCnDwOf/9f5dnnno05xy9oNtVAQAAeoAeV3Zb6evLXKEVAAA4QARXAAAAWk1wBQAA\noNUEVwAAAFpNcAUAAKDVBFcAAABaTXAFAACg1QRXAAAAWk1wBQAAoNUEVwAAAFpNcAUAAKDVBFcA\nAABaTXAFAACg1QRXAAAAWk1wBQAAoNUEVwAAAFpNcAUAAKDVBFcAAABaTXAFAACg1QRXAAAAWk1w\nBQAAoNUEVwAAAFpNcAUAAKDVBFcAAABabaDbFXhx92ZoqGwzZN68f5uFC69OkheUKVeuXLnyg7s8\n+ZFW10/5/itP3pxkUWvrp3z/li9Z0u76Kd9/5UND7a6f8v1XPjT0glFflB5XAAAAWq3UWrtdh51a\nuHBhXbJkSberQRcMDQ1l0aJF3a4GXaL9e5e2713avndp+96l7XvX+LYvpSyutV70UtPocQUAAKDV\nBFcAAABaTXAFAACg1QRXAAAAWk1wBQAAoNUEVwAAAFpNcAUAAKDVBFcAAABaTXAFAACg1QRXAAAA\nWk1wBQAAoNUEVwAAAFpNcAUAAKDVBFcAAABaTXAFAACg1fY6uJZS+ksp3y6lfL7z/IRSyi2llPtL\nKX9dShnsDJ/YeX5/p3zB3i4bAACAQ9++6HH92SR3j3v+20k+VGs9OclzSd7XGf6+JM91hn+oMx4A\nAAC8qL0KrqWUY5O8Ocmfdp6XJK9N8qnOKNcmeXvn/ys7z9Mpv7wzPgAAAOxUqbXu+cSlfCrJbyWZ\nnuTnk/ybJN/o9KqmlDI/yQ211rNKKXckeWOtdWmn7IEkF9dan91unlcluSpJ5s6de+F11123x/Xj\n4LVmzZpMmzat29WgS7R/79L2vUvb9y5t37u0fe8a3/aXXXbZ4lrrRS81zcCeLqyU8pYky2qti0sp\ni/Z0PturtV6d5OokWbhwYV20aJ/NmoPI0NBQtH3v0v69S9v3Lm3fu7R979L2vWtP2n6Pg2uSS5O8\nrZRyRZJJSQ5L8uEkM0spA7XWkSTHJnm8M/7jSeYnWVpKGUgyI8nyvVg+AAAAPWCPP+Naa/2vtdZj\na60Lkrw7yU211h9N8uUkP9gZ7T1JPtv5//rO83TKb6p7c58yAAAAPWF//I7rLyZ5fynl/iSzk1zT\nGX5Nktmd4e9P8oH9sGwAAAAOMXtzq/AWtdahJEOd/x9M8vIdjDOc5F/ti+UBAADQO/ZHjysAAADs\nM4IrAAAArSa4AgAA0GqCKwAAAK0muAIAANBqgisAAACtJrgCAADQaoIrAAAArSa4AgAA0GqCKwAA\nAK0muAIAANBqLQ+u92ZoqGT16sVJkiVLrsrQUMmSJVclSVavXpyhoZKhobJlittuuzBDQyVPPHF1\nkuSJJ67O0FDJbbdduGWcsWnMt73zTT53UNXXfPftfJOrDqr6mu++m2+y5KCqr/mar/mar/nu+XyT\nzx1U9TXffTff5LLsrpYHVwAAAHpdqbV2uw47tXDhwrpkyZJuV4MuGBoayqJFi7pdDbpE+/cubd+7\ntH3v0va9S9v3rvFtX0pZXGu96KWm0eMKAABAqwmuAAAAtJrgCgAAQKsJrgAAALSa4AoAAECrCa4A\nAAC0muAKAABAqwmuAAAAtJrgCgAAQKsJrgAAALSa4AoAAECrCa4AAAC0muAKAABAqwmuAAAAtJrg\nCgAAQKsJrgAAALSa4AoAAECrCa4AAAC0muAKAABAqwmuAAAAtJrgCgAAQKsJrgAAALSa4AoAAECr\nCa4AAAC0muAKAABAqwmuAAAAtJrgCgAAQKsJrgAAALSa4AoAAECrCa4AAAC0muAKAABAqwmuAAAA\ntJrgCgAAQKsJrgAAALSa4AoAAECrCa4AAAC0muAKAABAqwmuAAAAtJrgCgAAQKsJrgAAALSa4AoA\nAECrCa4AAAC0muAKAABAqwmuAAAAtJrgCgAAQKsJrgAAALSa4AoAAECrCa4AAAC0muAKAABAqwmu\nAAAAtJrgCgAAQKsJrgAAALSa4AoAAECrCa4AAAC0muAKAABAqwmuAAAAtJrgCgAAQKsJrgAAALSa\n4AoAAECrCa4AAAC0muAKAABAq+1xcC2lzC+lfLmUclcp5c5Sys92hh9eSvliKeW+zuOszvBSSvlI\nKeX+Usr3SikX7KuVAAAA4NC1Nz2uI0n+S631jCSXJPmZUsoZST6Q5MZa6ylJbuw8T5I3JTml83dV\nkj/ci2UDAADQI/Y4uNZan6y1fqvz/+okdyc5JsmVSa7tjHZtkrd3/r8yycdr4xtJZpZS5u1xzQEA\nAOgJ++QzrqWUBUnOT3JLkiNrrU92ip5KcmTn/2OSPDZusqWdYQAAALBTpda6dzMoZVqSryT5jVrr\nZ0opK2utM8eVP1drnVVK+XySD9Za/6Uz/MYkv1hrvW27+V2V5lbizJ0798Lrrrtur+rHwWnNmjWZ\nNm1at6tBl2j/3qXte5e2713avndp+941vu0vu+yyxbXWi15qmoG9WWApZUKSTyf5q1rrZzqDny6l\nzKu1Ptm5FXhZZ/jjSeaPm/zYzrBt1FqvTnJ1kixcuLAuWrRob6rIQWpoaCjavndp/96l7XuXtu9d\n2r53afvetSdtvzffKlySXJPk7lrr740ruj7Jezr/vyfJZ8cN//HOtwtfkmTVuFuKAQAAYIf2psf1\n0iQ/luT2Usp3OsN+KckHk1xXSnlfkkeSvKtT9oUkVyS5P8m6JO/di2UDAADQI/Y4uHY+q1p2Unz5\nDsavSX5mT5cHAABAb9on3yoMAAAA+4vgCgAAQKsJrgAAALSa4AoAAECrCa4AAAC0muAKAABAqwmu\nAAAAtJrgCgAAQKsJrgAAALSa4AoAAECrCa4AAAC0muAKAABAqwmuAAAAtJrgCgAAQKsJrgAAALSa\n4AoAAECrCa4AAAC0muAKAABAqwmuAAAAtJrgCgAAQKsJrgAAALSa4AoAAECrCa4AAAC0muAKAABA\nqwmuAAAAtJrgCgAAQKsJrgAAALSa4AoAAECrCa4AAAC0muAKAABAqwmuAAAAtJrgCgAAQKsJrgAA\nALSa4AoAAECrCa4AAAC0muAKAABAqwmuAAAAtJrgCgAAQKsJrgAAALSa4AoAAECrDXS7Artr06ZN\nWbp0aYaHh7tdldabNGlSjj322EyYMKHbVQEAANhjB11wXbp0aaZPn54FCxaklNLt6rRWrTXLly/P\n0qVLc8IJJ3S7OgAAAHvsoLtVeHh4OLNnzxZaX0IpJbNnz9Yz/f+3d+9hdtXVwce/iySSQALBGEFI\nSLzQQCx4IQQUi4koL5SbFCpB8BGUptRXgu1DW+prESpWq1QrBYoUKViuKYgogjdgQBSUBEEhEAQa\nGkAJiQKZQkDIev/Ye8JhmCQzk5l99sn+fp7nPHP29bf2WWfOzDq/395bkiRJUsfruMIVsGjtJ18n\nSZIkSRuDjixcJUmSJEnNYeE6hC644AIee+yxNdPHHnssixYtAmDq1KksX758WNqRJEmSpI2ZhesQ\n6l1QnnfeeUyfPn3Y25EkSZKkjVnHXVW41anfvodFjz09pPucvu0WfPrAN69znSVLlnDAAQdw9913\nA3D66adzwQUXsGTJEo488kjGjBnDrbfeyn777cfpp5/OjBkz1tvuRRddxBlnnMHzzz/P7rvvztln\nnw3ARz/6URYsWEBE8JGPfITJkyezYMGCl7UzZsyYDT9wSZIkSaqpji5c6+Swww6jq6ur34Vqq3vv\nvZfLL7+cH//4x4waNYqPfexjXHzxxbz5zW/m0UcfXVMgP/nkk4wfP54zzzxzUO1IkiRJUifq6MJ1\nfT2jneL6669n4cKF7LbbbgA8++yzvPa1r+XAAw/koYce4vjjj2f//fdnn332aXOkkiRJklS9ji5c\n22XkyJGsXr16zfSG3is1M/nwhz/M5z73uVcsu+uuu/je977HOeecw/z58zn//PM3qC1JkiRJ6jRe\nnGkQtt56a5YtW8aKFSt47rnnuOaaawAYN24cK1euHPD+9t57b6644gqWLVsGwG9/+1sefvhhli9f\nzurVqzn00EM57bTTuOOOOzaoHUmSJEnqRPa4DsKoUaM4+eSTmTlzJttttx077rgjAEcffTTHHXfc\nmosm9df06dM57bTT2GeffVi9ejWjRo3irLPOYsyYMRxzzDFrend7emR7t+PFmSRJkiRtzCxcB2ne\nvHnMmzfvFfMPPfTQNc+7urrWPF+yZMk693f44Ydz+OGHv2J+Ty9r7zZa25EkSZKkjZlDhSVJkiRJ\ntWaPa4VWrFjB3nvv/Yr5119/PRMmTGhDRJIkSZJUfxauFZowYQJ33nlnu8OQJEmSpI7iUGFJkiRJ\nUq1ZuEqSJEmSas3CVZIkSZJUaxaukiRJkqRas3AdQhdccAGPPfbYmuljjz2WRYsWATB16lSWL1/e\nrtAkSZIkqWNZuA6h3oXreeedx/Tp09sYkSRJkiR1vs6+Hc51J8Fvfjm0+9xmZ9jv8+tcZcmSJRxw\nwAHcfffdAJx++ulccMEFLFmyhCOPPJIxY8Zw6623st9++3H66aczY8aM9Tb7/ve/n6VLl7Jq1SpO\nOOEE5s6dyznnnMODDz7IF7/4RaAojBcsWMCZZ57JZz7zGS666CImTpzI5MmT2XXXXTnxxBM3/Pgl\nSZIkqWbscR0ihx12GDNmzODiiy/mzjvvZMyYMQPa/vzzz2fhwoUsWLCAM844gxUrVnDooYdy1VVX\nrVnn8ssvZ86cOdx+++1ceeWV3HXXXVx33XUsWLBgqA9HkiRJkmqjs3tc19Mz2knOOOOMNUXq0qVL\n+dWvfsUee+zBG97wBm677TZ22GEH7rvvPvbcc0++8pWvcPDBBzN69GhGjx7NgQce2OboJUmSJGn4\ndHbh2iYjR45k9erVa6ZXrVq1Qfvr6urihz/8IbfeeiubbbYZs2bNWrPPOXPmMH/+fHbccUcOOeQQ\nImKD2pIkSZKkTuNQ4UHYeuutWbZsGStWrOC5557jmmuuAWDcuHGsXLlywPt76qmn2Gqrrdhss824\n7777uO2229YsO+SQQ7j66qu59NJLmTNnDgB77rkn3/72t1m1ahXd3d1r2pckSZKkjZE9roMwatQo\nTj75ZGbOnMl2223HjjvuCMDRRx/Ncccdt+biTP217777cs4557DTTjsxbdo09thjjzXLttpqK3ba\naScWLVrEzJkzAdhtt9046KCD2GWXXdh6663Zeeed2XLLLYf2ICVJkiSpJixcB2nevHnMmzfvFfMP\nPfTQNc+7urrWPF+yZMla97Xpppty3XXXrXV5Xz2qJ554IqeccgrPPPMMe+21F7vuumv/ApckSZKk\nDmPh2qHmzp3LokWLWLVqFR/+8Id5+9vf3u6QJEmSJGlYWLhWaMWKFey9996vmH/99dczYcKEAe3r\nkksuGaqwJEmSJKnWOrJwzcyOvLruhAkTuPPOOytrLzMra0uSJEmShkvHXVV49OjRrFixwqJsPTKT\nFStWMHr06HaHIkmSJEkbpON6XCdNmsQjjzzCE0880e5Qam/06NFMmjSp3WFIkiRJ0gbpuMJ11KhR\nvP71r293GJIkSZKkilQ+VDgi9o2IxRHxQEScVHX7kiRJkqTOUmnhGhEjgLOA/YDpwBERMb3KGCRJ\nkiRJnaXqHteZwAOZ+VBmPg9cBhxccQySJEmSpA5S9Tmu2wFLW6YfAXZvXSEi5gJzy8nnIuLuimJT\nvbwGWN7uINQ25r+5zH1zmfvmMvfNZe6bqzX3U/qzQe0uzpSZ5wLnAkTEgsyc0eaQ1AbmvtnMf3OZ\n++Yy981l7pvL3DfXYHJf9VDhR4HJLdOTynmSJEmSJPWp6sL1dmCHiHh9RLwKmAN8q+IYJEmSJEkd\npNKhwpn5QkR8HPgeMAI4PzPvWccm51YTmWrI3Deb+W8uc99c5r65zH1zmfvmGnDuIzOHIxBJkiRJ\nkoZE1UOFJUmSJEkaEAtXSZIkSVKtWbhKkiRJkmrNwlWSJEmSVGsWrpIkSZKkWrNwlSRJkiTVmoWr\nJEmSJKnWLFwlSZIkSbVm4SpJkiRJqjULV0mSJElSrVm4StIQi4jLIuJT/Vz3NxHxTEScN9xx1U1E\n7Jd8NxEAAB7jSURBVBsRD2zA9h+LiO6IyIiYNJSx9aPtByPiHWtZtkHHNRwiYtuIuDciXtXuWNR/\nA/wsOS4ifriO5TdExOH93Nd3ImJWP8OUpEpYuEpqrLLo6XmsjohnW6aPrDCUfTLz2DKmbSNifkT8\nOiKeioibI2LXXnFvExGXl8t/FxHntyzbPiKuKef/T0R8pNe2IyPi82XBvDIiFkbEZtUc5tDKzLOB\n16xrnZYvBrrL1/S8iBgzBG2/MTNv3dD9VOj/AV/NzOfbHchAlTl8Vx/z13xBUH6R0PO7+2JErGqZ\nXtnyfFVEvNAyvTAiRq/ty4+yGGxdv+cxoYpjH0qZ+Z7MvLyfq/8T8NnhjEeSBsrCVVJjZebYngfw\nP8CBLfMublNY44BbgLcCrwb+C/hORGwKEBEBfAt4CJgMbA38a8v2lwN3A68FDgG+HBHvbFn+eeBt\nwAxgS+AjwO/7E1hEjBz0UQ2xAcayT5njGcA7gROHJ6p6Kr+Y+CBwySC3r03e16b8IqHnd/l24NiW\n3+VxLcs+AXS1LNt13XuGXuv3PFYMNMZOeB1b/AiYHBE7tzsQSeph4SpJaxERe0bETyPiyYh4LCK+\n3PPPZ0SMiIizIuKJsufzroiY1sc+toyIWyLii/1pMzMXZ+YZmfl4Zr4InAlsBbypXOVAioLzk5n5\ndGY+n5k/L9t6DbAH8I+Z+fvMXAhcDRxTLn8t8DHgo5n5SGauzsy7MrPPwrXsmb2k7N1dCcwpj/vv\nI+KhiFgeERdHxPhy/R3L3qljIuKR8rX565b9bV6u/2RE/JKigG5tb3JEXF3u96GIOG5dsfTn9ez1\n2j4K/JDiS4Ge/Y6JiH+JiKVlz96/tnxJsE1EfLeMd0VE3NCy3ZpewCE4rosj4tKyZ/AXEdEa39SW\nbZdHxD9HxGYR8XRE7NCy3qSyZ3l8H4f+LuDRzFzWsv4OEfGTss3vRsRXoxyu3pLHP4uIpcC15fw/\navl9uCMi9mzZ36sj4uvl67I0Ij4dEZuUy46LiOsj4oxy2wcj4r0Dy17nibJHuPx9eRz4t3L+IWWe\nn4yIH0XE9JZtZpafJSsj4iJgoEO7Nylz+XRELIqIvVr2fVtEHFU+H1nmY0WZj3kR8ULPupmZwE3A\nH2/ASyBJQ8rCVZLW7vfAx4EJwB9RFI3HlssOAN4OvJGisPwg8LvWjctCsQv4bmb+NYOzO/AC8N/l\n9B7A/cBl5T+dt8XLe1R7C+APy+dvBZ4GjomIxyPivoj4s5Z4946I3/Ta/lDgQopi+UqK3sp9KIqh\nSRSv0Zdb1h9B0bP5Jop/ej8bEW8ol30W2AaYChwEHN3S9giKAuknwLbAvsAnI+Ld64hlQCJi+zL2\n1vNPv1Qex87ANOAPgJPKZX8LLKYYjvw64JS17HpDj+sQ4HxgPHA98C/ltqOA64B7ge0petivzMxn\ngCuAo1r2cSTwncx8so/4di6PoyemAOYDN1K8tz/fa19Q5HH38jU5OCKmAt+kGHL8auBTwDcjYqty\n/YuBp4A3ADOB9wMfatnfXsCCsr0zgTXndJdF7hV9xL0xmAqMosjdvIjYAzib4sukCcB/UryOI6MY\nwn418FWK1/g6ivcTABGxaVnszlhHe3sBd/FSXr8ZEVv0sd7HgXdTfDbMBA7rY517gbf0/1AlaXhZ\nuErSWmTmzzLz9sx8MTMfpPhnu6fg+D2wBbBjue49rT1aFIXGzcD5mXnaYNovi4ILgE+VxQoURdYB\nwLcpiqV/A74VEeMzczmwEDi5/Cd3d+BgYLOWbbemKMKmUBTbX4iIPyqP4frM3KZXGDdl5rVl7+yz\nwHHASZn5WGauAk4FDi+LoR6fzsxVmXk7cB+wSzn/A8BnMvPJzPxv4KyWbd4FjM7Mfyp7ke8H/oOX\n96z2jqW/rouil/ZhYAlwGqwZuvlR4IQypqco/tnvafP3FMXm9mVMN69l/xt6XDdk5g/KHvb/5KUe\n4XdRvMc+mZnPZOazmfmTctmFFMVqj6PKbfsyHljZMr0Dxfv2H8qYuiiKpN5O7mkX+DDwjcz8Yfn6\nXwssAvaJiCkUBdNflev/Gjij1zEuzsyvl8d4ITClp3c4M0/NzL4Kp7p4d1kw9jzuGcC2z1G8N54v\nX8c/B87MzIXl58q5wKbArhRfjq3KzLPLERMXA7/o2VFmPpeZ4zNzwTraW9qy/deBR4D/08d6HwC+\nlJm/Loc9f6GPdVZSvHckqRY66XwLSapUOYTvnyl6VsdQfGb+uFx8HcU//18Ftit7jP4mM7vL5QcD\nv6XoSRtM22Mpeup+kJmtPZrPAvdl5kXl9IVRXHV0d+B7FP+QngU8StHLdjFFEd2zLcCpZdF5Rxn3\nH1Oc09aXpS0xBUXP0bURkS3rbELRwwPwYllA93gGGFsOG92mdX8UhWSPKcDUiGjtMRxBMbT3FbEM\n0H6ZeUtEvI+iaHw1xT/l21L0ht3TUncHRQ83FD2p/wDcGBG/B87OzC+17niIjqu1l/sZYGz5fDLw\n35m5uo9juhkYEcWVjZ+l+DKir+ITipEA01umtwWeyMznWuYtpTi/usfqzHys13EcERF/2jJvVLmv\nKcBo4ImW13ETXt6z3fsYoTjOvnqI6+amzBzs0Obf9BqKPwX4QLQMoacYDrwdxZcUj/Ta/mEGpq/t\nt+1jvW15+Xu2r9+tcXRGfiQ1hD2ukrR2/w7cAbwxM7egKGICinPAMvNLmfk2ih7FtwAntGx7JsXw\n0G/FAK9iW67/bYqhevN6Lf4FkL3mrZnOzIcyc7/MfE1m7knRw/qzlm3ptX3vffXWuu+kKIjfU/b8\n9DxG9ypWX7mTovh6nKIY67F9y/OlFAV5637HZeYhA4h13QeS+QOKi1f9Uznr1xRF6htb2twyMyeU\n6z+VmSdk5hSKYcqfaj2vcwiPa22WUhS9r/hbXebi6xQ9rR8CLsu1nKtMkfc/aJn+NTAxynN5S5Nf\nvskrXuulwHm9jmPz8kuVpUA3sFXLsi0y8+39OMaNXV+v48m9XsfNMvMbFHnpfWXj7RmYvrZ/rI/1\nerfVO/8AO1EMO5akWrBwlaS1Gwc8lZndEfFmoPV80D0iYkY53PR/geeB1p6xLNd/jOI8s9YiYa3K\n9b4JLAP+rCxQWl0BTIqIngslHUlxju1Py+2nR8TYcqjwRyiGm54BxXBmiiL2UxHxqojYhaIg+84A\nXpNzgM9HxOSyvddGxIH93HY+8P+iuGDVFIoLRfW4pdzfJ6K4PcnIiNglIoa6+PlninM2dyoLvfOB\nr0TEa6IwueyZJSIOiog3lD3NTwEv8vIcD/dx3ULRM/yZKC7INKbX+cxfp+hhP6J8vjY/phgVMLGc\nvp+iN/5TETGqvIDPvuuJ5ULgT8vzoEeUsewdEduUw6Nvoxh2Pi4iNoni4k+vuIXNBnhV+fr1PEYM\n4b57bNqrjfX+jxTFfVbPGUAb5wLHl58dUf6uHhTFlZ9vBkZHcTGrkRFxBC8Ns++vyS3bH0VRkH6/\nj/XmA38ZxQXIJtDrStvle34v1t6LL0mVs3CVpLX7S+DYiOimGH7beg/E8RTnnz5JcWuah4GvtG5c\n9sYdXa5zZUT05wqhsyguIHQg8FS8dN/I3cp9Pk5x4Zu/pyim5lHcxqdnSN+BFOdx/pbivMR9MrP1\nolEfoBg2+jvgG8CJmdlTXL03ItbZc0pxLtwPgRvK80Z/QjGUuj8+BSynuPXQd2gptsoi8o8pblfz\nMPAExfm7Y1+5m8Erh79eVsYCxe1RHqO4cNBTwHd56QrOO1FcwGglRVFxevZ979ZhOa6Wbd9CMQT0\nfygu5NSz/EGKAnRlZv6sz50U6z1LMWT8g+V0AocD76V4H3yS4rZLz61jHw9RfMlxanmsD1OMMOj5\nP+IIit+J+yjee5dT9PavV0ScGhFXrWe16ymGRPc8/q4/+x6gB3q18cFy/qx45X1ce24TM5mXTh9Y\nr8z8McXv7FcpPhfuL9vJMk+HUHzx8Ttgf4qRF8CaizOt+SxYi5sprmr9W4oLaf1JFudu99YzImQR\nxZdZ1/Dy/PdcifoXfWwrSW0Rr/wyX5JUlYhYQtFjellm/nmbw+koEfEXwOcozq98Yxa3u2mUiLgE\nWJTruQBYRLyOovh7a2Y+38fyq4HbMvNzwxPpxqfsJb0d2KW86FTHiohDgM9n5rRy+hqKizfdsO4t\nJak6Fq6SJHWgiHgTxTnYOw20aI/iitOPU/Ti7k8xBP1tmbloyANV7UTEOOAdFF9mbAdcRXEhuJPW\nuaEktZFDhSVJ6jAR8QXg5xS3tBlMT/MkXjqH9ovARyxaG2UTils/PUUxVPgOyttESVJd2eMqSZIk\nSao1e1wlSZIkSbU2st0B9BYRc4G5AKNHj951++0HegszbQxWr17NJpv4vUpTmf/mMvfNZe6by9w3\nl7lvrtbc33///cszc+J6Nqn3UOFp06bl4sWL2x2G2qCrq4tZs2a1Owy1iflvLnPfXOa+ucx9c5n7\n5mrNfUQszMwZ69vGrzgkSZIkSbVm4SpJkiRJqjULV0mSJElSrVm4SpIkSZJqzcJVkiRJklRrFq6S\nJEmSpFqzcJUkSZIk1ZqFqyRJkiSp1ixcJUmSJEm1ZuEqSZIkSao1C1dJkiRJUq1ZuEqSJEmSas3C\nVZIkSZJUaxaukiRJkqRas3CVJEmSJNWahaskSZIkqdYsXCVJkiRJtTay6gYjYgmwEngReCEzZ1Qd\ngyRJkiSpc7Srx3V2Zr7VorVzxanR7hAkSZIkNYRDhSVJkiRJtdaOwjWB70fEwoiY24b2JUmSJEkd\nJDKz2gYjtsvMRyPitcAPgOMz8+aW5XOBuQATJ07cdf78+ZXGp7WbfdPstS678d03Dmlb3d3djB07\ndkj3qc5h/pvL3DeXuW8uc99c5r65WnM/e/bshf05hbTywvVljUecAnRn5ul9LZ82bVouXry42qDU\nL3FqkJ8evvdOV1cXs2bNGrb9q97Mf3OZ++Yy981l7pvL3DdXa+4jol+Fa6VDhSNi84gY1/Mc2Ae4\nu8oYJEmSJEmdperb4WwNXBURPW1fkpnfrTgGSZIkSVIHqbRwzcyHgLdU2aaGx3AOE5YkSZKkVt4O\nR5IkSZJUaxaukiRJkqRas3CVJEmSJNWahaskSZIkqdYsXCVJkiRJtWbhKkmSJEmqNQtXSZIkSVKt\nWbhKkiRJkmrNwlWSJEmSVGsWrpIkSZKkWrNwlSRJkiTVmoWrJEmSJKnWLFwlSZIkSbVm4SpJkiRJ\nqrW2FK4RMSIifh4R17SjfUmSJElS52hXj+sJwL1taluSJEmS1EEqL1wjYhKwP3Be1W1LkiRJkjpP\nZGa1DUZcAXwOGAecmJkH9Fo+F5gLMHHixF3nz59faXyqh+7ubsaOHdvuMNQm5r+5zH1zmfvmMvfN\nZe6bqzX3s2fPXpiZM9a3zchhj6pFRBwALMvMhRExq691MvNc4FyAadOm5axZfa6mjVxXVxfmvrnM\nf3OZ++Yy981l7pvL3DfXYHJf9VDhPYGDImIJcBnwnoi4qOIYJEmSJEkdpNLCNTP/LjMnZeZUYA5w\nQ2YeVWUMkiRJkqTO4n1cJUmSJEm1Vuk5rq0yswvoalf7kiRJkqTOYI+rJEmSJKnWLFwlSZIkSbVm\n4SpJkiRJqjULV0mSJElSrVm4SpIkSZJqzcJVkiRJklRrFq6SJEmSpFqzcJUkSZIk1ZqFqyRJkiSp\n1ixcJUmSJEm1ZuEqSZIkSao1C1dJkiRJUq1ZuEqSJEmSaq3SwjUiRkfEzyLiroi4JyJOrbJ9SZIk\nSVLnGVlxe88B78nM7ogYBdwSEddl5m0VxyFJkiRJ6hCVFq6ZmUB3OTmqfGSVMUiSJEmSOksUtWSF\nDUaMABYCbwLOysy/7bV8LjAXYOLEibvOnz+/0vhUD93d3YwdO7bdYahNzH9zmfvmMvfNZe6by9w3\nV2vuZ8+evTAzZ6xvm8oL1zUNR4wHrgKOz8y7+1pn2rRpuXjx4moDUy10dXUxa9asdoehNjH/zWXu\nm8vcN5e5by5z31ytuY+IfhWug7o4U0R8ISK2iIhREXF9RDwREUcNZB+Z+SRwI7DvYGKQJEmSJDXD\nYK8qvE9mPg0cACyhGPb71+vbKCImlj2tRMQY4H3AfYOMQZIkSZLUAIO9OFPPdvsD/5WZT0VEf7Z7\nHXBheZ7rJsD8zLxmkDFIkiRJkhpgsIXrNRFxH/As8BcRMRFYtb6NMvMXwNsG2aYkSZIkqYEGNVQ4\nM08C3gnMyMzfA88ABw9lYJIkSZIkwQB7XCPiT3rNyohYDtyZmb8ZurAkSZIkSSoMdKjwgX3MezWw\nS0R8NDNvGIKYJEmSJElaY0CFa2Ye09f8iJgCzAd2H4qgJEmSJEnqMdjb4bxMZj4MjBqKfUmSJEmS\n1GpICteImAY8NxT7kiRJkiSp1UAvzvRtIHvNfjXF/VmPGqqgJEmSJEnqMdCLM53eazqBFcCvMvP5\noQlJkiRJkqSXDGiocGbeBGwF7AaMzsybM/Mei1ZJkiRJ0nAZUOEaEWcDfwlMAD4TEX8/LFFJkiRJ\nklQa6FDhvYC3ZOaLEbEZ8CPgM0MfliRJkiRJhYFeVfj5zHwRIDOfAWLoQ5IkSZIk6SUD7XHdMSJ+\nUT4P4I0t02TmLkMWmSRJkiRJDLzH9S3Ax4ADgQOAncrnHwP+ZH0bR8TkiLgxIhZFxD0RccJAA1ZN\nTJ0Ks2bByJHFz9Gj+/ezZ/2en1OnFst6/dxjzhwYP776x7piXdfP8ePXv17P8a3lmJk6tT3HfMop\nAzvWgfwc5LG+64AD6pXfgeS9bvkd6mPu77EO8pg3KPc9sVX9nt5kk40zvxW/p/ud+3Z9ZrUzzzX8\nnB623Nf9Pd3z2d+E/IYDK1Uvkdn7tqzrWDniGuDvMvOXvebvDPxjZh64nu1fB7wuM++IiHHAQuD9\nmbmor/WnTZuWixcv7nd8qpAfZpIkSRu3AdQJg9HV1cWsWbOGtQ3VU2vuI2JhZs5Y3zabDLCNrXsX\nrQDlvKnr2zgzf52Zd5TPVwL3AtsNMAZJkiRJUoMM9BzX8etYNmYgO4qIqcDbgJ/2mj8XmAswceJE\nurq6BhSghs8ec+Yw+vHH2x2GJEmSqlCOsEvgphtvHPLdd3d3+79+Qw0m9wMdKnwpcENm/nuv+ccC\n78vMw/u5n7HATcBnM/Mba1vPocI15lBhSZKkjZtDhTVMBjNUeKA9rp8AroqIIynOTwWYAbwKOKQ/\nO4iIUcCVwMXrKlolSZIkSYIBnuOamY9n5juBU4El5ePUzHxHZv5mfdtHRABfA+7NzC8NPFzVxpQp\n8O53w4gRxc9NN+3fz571e35OmVIs6/Vz1dZbw5ZbVv9YV6zr+rnllutfr+f41nLMTJnSnmP+9KcH\ndqwD+TnIY31h883rld+B5L1u+R3qY+7vsQ7ymDco9z2xVf2ejtg481vxe7rfuW/XZ1Y781zDz+lh\ny33d39M9n/1NyK9UMwMaKrzBjUW8C/gR8EtgdTn7k5l5bV/rO1S4uRw60mzmv7nMfXOZ++Yy981l\n7puriqHCGyQzbwE8OVKSJEmS1G8DvR2OJEmSJEmVsnCVJEmSJNWahaskSZIkqdYsXCVJkiRJtWbh\nKkmSJEmqNQtXSZIkSVKtWbhKkiRJkmrNwlWSJEmSVGsWrpIkSZKkWrNwlSRJkiTVmoWrJEmSJKnW\nLFwlSZIkSbVm4SpJkiRJqrVKC9eIOD8ilkXE3VW2K0mSJEnqXFX3uF4A7Ftxm5IkSZKkDlZp4ZqZ\nNwO/rbJNSZIkSVJni8ystsGIqcA1mfmHa1k+F5gLMHHixF3nz59fXXCqje7ubsaOHdvuMNQm5r+5\nzH1zmfvmMvfNZe6bqzX3s2fPXpiZM9a3Te0K11bTpk3LxYsXD3tMqp+uri5mzZrV7jDUJua/ucx9\nc5n75jL3zWXum6s19xHRr8LVqwpLkiRJkmrNwlWSJEmSVGtV3w7nUuBWYFpEPBIRH62yfUmSJElS\n5xlZZWOZeUSV7UmSJEmSOp9DhSVJkiRJtWbhKkmSJEmqNQtXSZIkSVKtWbhKkiRJkmrNwlWSJEmS\nVGsWrpIkSZKkWrNwlSRJkiTVmoWrJEmSJKnWLFwlSZIkSbVm4SpJkiRJqjULV0mSJElSrVm4SpIk\nSZJqzcJVkiRJklRrlReuEbFvRCyOiAci4qSq25ckSZIkdZZKC9eIGAGcBewHTAeOiIjpVcYgSZIk\nSeosVfe4zgQeyMyHMvN54DLg4IpjkCRJkiR1kKoL1+2ApS3Tj5TzJEmSJEnqU2RmdY1FHAbsm5nH\nltMfAnbPzI+3rDMXmAswceLEXefPn19ZfKqP7u5uxo4d2+4w1Cbmv7nMfXOZ++Yy981l7purNfez\nZ89emJkz1rfNyGGP6uUeBSa3TE8q562RmecC5wJMmzYtZ82aVVlwqo+uri7MfXOZ/+Yy981l7pvL\n3DeXuW+uweS+6qHCtwM7RMTrI+JVwBzgWxXHIEmSJEnqIJX2uGbmCxHxceB7wAjg/My8p8oYJEmS\nJEmdpeqhwmTmtcC1VbcrSZIkSepMVQ8VliRJkiRpQCxcJUmSJEm1ZuEqSZIkSao1C1dJkiRJUq1Z\nuEqSJEmSas3CVZIkSZJUaxaukiRJkqRas3CVJEmSJNWahaskSZIkqdYsXCVJkiRJtWbhKkmSJEmq\nNQtXSZIkSVKtWbhKkiRJkmrNwlWSJEmSVGsWrpIkSZKkWrNwlSRJkiTVmoWrJEmSJKnWRrY7gN4i\nYi4wt5x8LiLubmc8apvXAMvbHYTaxvw3l7lvLnPfXOa+ucx9c7Xmfkp/NojMHL5wNlBELMjMGe2O\nQ9Uz981m/pvL3DeXuW8uc99c5r65BpN7hwpLkiRJkmrNwlWSJEmSVGt1L1zPbXcAahtz32zmv7nM\nfXOZ++Yy981l7ptrwLmv9TmukiRJkiTVvcdVkiRJktRwFq6SJEmSpFqrbeEaEftGxOKIeCAiTmp3\nPKpGRJwfEcu8f2/zRMTkiLgxIhZFxD0RcUK7Y1I1ImJ0RPwsIu4qc39qu2NStSJiRET8PCKuaXcs\nqk5ELImIX0bEnRGxoN3xqFoRMT4iroiI+yLi3oh4R7tj0vCLiGnl73zP4+mI+ES/tq3jOa4RMQK4\nH3gf8AhwO3BEZi5qa2AadhGxF9ANfD0z/7Dd8ag6EfE64HWZeUdEjAMWAu/3937jFxEBbJ6Z3REx\nCrgFOCEzb2tzaKpIRPwVMAPYIjMPaHc8qkZELAFmZObydsei6kXEhcCPMvO8iHgVsFlmPtnuuFSd\nsuZ7FNg9Mx9e3/p17XGdCTyQmQ9l5vPAZcDBbY5JFcjMm4HftjsOVS8zf52Zd5TPVwL3Atu1NypV\nIQvd5eSo8lG/b1U1LCJiErA/cF67Y5FUjYjYEtgL+BpAZj5v0dpIewMP9qdohfoWrtsBS1umH8F/\nYKXGiIipwNuAn7Y3ElWlHCp6J7AM+EFmmvvm+Bfgb4DV7Q5ElUvg+xGxMCLmtjsYVer1wBPAf5Sn\nCZwXEZu3OyhVbg5waX9XrmvhKqmhImIscCXwicx8ut3xqBqZ+WJmvhWYBMyMCE8VaICIOABYlpkL\n2x2L2uJdmfl2YD/g/5anC6kZRgJvB/4tM98G/C/gNW0apBwefhDwX/3dpq6F66PA5JbpSeU8SRux\n8vzGK4GLM/Mb7Y5H1SuHit0I7NvuWFSJPYGDynMdLwPeExEXtTckVSUzHy1/LgOuojhVTM3wCPBI\ny+iaKygKWTXHfsAdmfl4fzeoa+F6O7BDRLy+rMbnAN9qc0yShlF5gZ6vAfdm5pfaHY+qExETI2J8\n+XwMxYX57mtvVKpCZv5dZk7KzKkUf+tvyMyj2hyWKhARm5cX4qMcIroP4B0FGiIzfwMsjYhp5ay9\nAS/G2CxHMIBhwlB009dOZr4QER8HvgeMAM7PzHvaHJYqEBGXArOA10TEI8CnM/Nr7Y1KFdkT+BDw\ny/JcR4BPZua1bYxJ1XgdcGF5dcFNgPmZ6W1RpI3b1sBVxXeWjAQuyczvtjckVex44OKyk+oh4Jg2\nx6OKlF9WvQ/48wFtV8fb4UiSJEmS1KOuQ4UlSZIkSQIsXCVJkiRJNWfhKkmSJEmqNQtXSZIkSVKt\nWbhKkiRJkmqtlrfDkSRpYxARE4Dry8ltgBeBJ8rpZzLznW0JTJKkDuPtcCRJqkBEnAJ0Z+bp7Y5F\nkqRO41BhSZLaICK6y5+zIuKmiLg6Ih6KiM9HxJER8bOI+GVEvLFcb2JEXBkRt5ePPdt7BJIkVcfC\nVZKk9nsLcBywE/Ah4A8ycyZwHnB8uc5XgC9n5m7AoeUySZIawXNcJUlqv9sz89cAEfEg8P1y/i+B\n2eXz9wLTI6Jnmy0iYmxmdlcaqSRJbWDhKklS+z3X8nx1y/RqXvpbvQmwR2auqjIwSZLqwKHCkiR1\nhu/z0rBhIuKtbYxFkqRKWbhKktQZ5gEzIuIXEbGI4pxYSZIawdvhSJIkSZJqzR5XSZIkSVKtWbhK\nkiRJkmrNwlWSJEmSVGsWrpIkSZKkWrNwlSRJkiTVmoWrJEmSJKnWLFwlSZIkSbX2/wFT/0OBzadL\nNwAAAABJRU5ErkJggg==\n",
"text/plain": "<matplotlib.figure.Figure at 0x7ff58b86db90>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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"text/plain": "<matplotlib.figure.Figure at 0x7ff590400bd0>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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AnA/sC4wGDouI0fVtldQlS4AvZOZoYCzw6fLcPRG4PTNHAreX76X+4DjgsZr3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\nAABJRU5ErkJggg==\n",
"text/plain": "<matplotlib.figure.Figure at 0x7ff58bea7410>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"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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9JUk6oy2sHZoacxxLHjtdry44qRn787R/Rp808Or2ccGyhtoDy8W9cOSc7m6n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\nBgxf93ww4WLcf7M5c2O40dxsTpLWblj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GQUGKonLe6U9/8ovlPLCgJ+KpP0FP1DspHh4c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\nYxo5cqS6dOlid0jwkzfeeEO33XYbZ8MbiZkzZ0qSrr76ao0YMcLmaOA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WrdSsWTNdeOGF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\nR2FhoUJCeDQW6pf/BydzIy8HGA1uAAAAAElFTkSuQmCC\n",
"text/plain": "<matplotlib.figure.Figure at 0x7ff590351050>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Jumper task (20%)"
},
{
"metadata": {
"collapsed": true,
"trusted": true
},
"cell_type": "code",
"source": "test_id = 'jumper'",
"execution_count": 27,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"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": "10:45:54 INFO : Setup new workload jumper\n10:45:54 INFO : Workload duration defined by longest task\n10:45:54 INFO : Default policy: SCHED_OTHER\n10:45:54 INFO : ------------------------\n10:45:54 INFO : task [jumper], sched: using default policy\n10:45:54 INFO : | loops count: 1\n10:45:54 INFO : | CPUs affinity: 1,2\n10:45:54 INFO : + phase_000001: duration 5.000000 [s] (250 loops)\n10:45:54 INFO : | period 20000 [us], duty_cycle 20 %\n10:45:54 INFO : | run_time 4000 [us], sleep_time 16000 [us]\n10:45:54 INFO : ------------------------\n10:45:54 INFO : task [rt_l1], sched: {'policy': 'FIFO'}\n10:45:54 INFO : | loops count: 1\n10:45:54 INFO : | CPUs affinity: [1]\n10:45:54 INFO : + phase_000001: duration 5.000000 [s] (250 loops)\n10:45:54 INFO : | period 20000 [us], duty_cycle 10 %\n10:45:54 INFO : | run_time 2000 [us], sleep_time 18000 [us]\n10:45:54 INFO : ------------------------\n10:45:54 INFO : task [rt_l2], sched: {'policy': 'FIFO'}\n10:45:54 INFO : | start delay: 0.300000 [s]\n10:45:54 INFO : | loops count: 1\n10:45:54 INFO : | CPUs affinity: [2]\n10:45:54 INFO : + phase_000001: duration 5.000000 [s] (250 loops)\n10:45:54 INFO : | period 20000 [us], duty_cycle 10 %\n10:45:54 INFO : | run_time 2000 [us], sleep_time 18000 [us]\n",
"name": "stderr"
}
]
},
{
"metadata": {
"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": 29,
"outputs": [
{
"output_type": "stream",
"text": "10:45:54 INFO : #### Set [schedutil] CPUFreq governor\n10:45:59 INFO : #### Enable Utilization estimation\n10:45:59 INFO : #### Setup FTrace\n10:46:04 INFO : #### Start RTApp execution\n10:46:04 INFO : Workload execution START:\n10:46:04 INFO : /root/devlib-target/bin/rt-app /root/devlib-target/jumper_00.json 2>&1\n10:46:10 INFO : #### Stop FTrace\n10:46:11 INFO : #### Save FTrace: /data/Code/lisa/results/OSPM_EstimatedUtilization/trace_jumper.dat\n10:46:14 INFO : #### Save platform description: /data/Code/lisa/results/OSPM_EstimatedUtilization/platform.json\n10:46:14 INFO : #### Parse trace\n",
"name": "stderr"
}
]
},
{
"metadata": {
"scrolled": false,
"trusted": true
},
"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": "10:46:15 INFO : Plotting [2741:jumper]...\n10:46:16 INFO : CPU01 average frequency: 0.881 GHz\n",
"name": "stderr"
},
{
"output_type": "display_data",
"data": {
"image/png": 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SJKWawVWSJEmSlGoGV0mSJElSqhlcJUmSJEmpZnCVJEmSJKWawVWSJEmSlGoGV0mSJElS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"text/plain": "<matplotlib.figure.Figure at 0x7ff59094ad10>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"image/png": 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Va+xhjo1R12rQhVoGrWPZoHH7bTfO426IutbiIptPOaX7eGW9LvRSd7xx9Dnq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\nYDvwSNFWkiRJkqS+ppLwZuY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"text/plain": "<matplotlib.figure.Figure at 0x7ff58b9dfe50>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
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RwBfKY/dE4I7MHA7cUb6XeoNjgRk1788Azs7MRmAeMLkuVUkd933glszcFvgb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\nkiRJUqUZjCVJkiRJlWYwliRJkiRV2v8HIt9pOh1pRfoAAAAASUVORK5CYII=\n",
"text/plain": "<matplotlib.figure.Figure at 0x7ff5906c1cd0>"
},
"metadata": {}
}
]
},
{
"metadata": {
"scrolled": false,
"trusted": true
},
"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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m/I4/Pvi03sF12NvG7YMdd2AA/S6HRBx+WSN2yPBIJScWB003Ru9I2SMYDvWO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\nWOhZ/g8+28H/IFwyuwAAAABJRU5ErkJggg==\n",
"text/plain": "<matplotlib.figure.Figure at 0x7ff58975dd10>"
},
"metadata": {}
}
]
},
{
"metadata": {
"run_control": {
"frozen": false,
"read_only": false
}
},
"cell_type": "markdown",
"source": "# Interactive analysis"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Trace Visualization"
},
{
"metadata": {
"trusted": true
},
"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": {},
"cell_type": "markdown",
"source": "## Interactive plots"
},
{
"metadata": {
"trusted": true
},
"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": {},
"cell_type": "markdown",
"source": "## Kernelshark"
},
{
"metadata": {
"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",
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