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@sirio7g
Created November 2, 2018 14:15
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# NVMe SSD benchmark on i3.4xlarge\n",
"\n",
"# Summary\n",
"\n",
"- RAID-0 performs 2 times better than a single disk setup (as expected);\n",
"- Read operations performs ~ 2.5 times better than write ones (3.7 GB/s vs 1.5 GB/s) ;\n",
"- The differences in the disk throughput between sequential operations and random operations are negligible (as expected from an SSD);\n",
"- Median throughput on RAID-0:\n",
"\n",
"READ | RANDOM READ | WRITE | RANDOM WRITE\n",
":---:|:---:|:---:|:---:\n",
"3.8 GB/s | 3.7 GB/s | 1.5 GB/s | 1.5 GB/s\n",
"\n",
"- Disk throughput is very much reliable. Its variance is very low in both random and sequential operations;\n",
"- The block size impacts both IOPS and throughput;\n",
"- Block size = 512KB is the sweet-spot to achieve the best performance (considering IOPS, throughput and disk utilisation);\n",
"- Using small block size (`bs < 64KB`) does not let the disk to work at its best;\n",
"- It did not emerged any relevant difference in the disk I/O performance between Amazon Linux and Ubunt, as someone pointed out on the AWS forum;"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# Import the required libraries\n",
"import pandas as pd\n",
"import numpy as np\n",
"import scipy.stats\n",
"import matplotlib.pyplot as plt\n",
"\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Throughput analysis (RAID-0)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x10a2bed30>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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pg5wkSVKnDHKSJEmdMshJkiR1yiAnSZLUKYOcJElSpwxykiRJnTLISZIkdcogJ0mS1CmD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\nac94ineoAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1064db198>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"read_df = {'READ': [3825600, 3825600, 3838900], 'RANDREAD': [3786700, 3787400, 3788800]}\n",
"write_df = {'WRITE': [1543100, 1547400, 1546100], 'RANDWRITE': [1546800, 1546700, 1546800]}\n",
"\n",
"pd.DataFrame(data=read_df).plot.box(figsize=(10,7), title='Read throughput (KB/s) - BS: 512KB')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x10a2a27f0>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x10a2b4438>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pd.DataFrame(data=write_df).plot.box(figsize=(10,7), title='Write throughput (KB/s)')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Single disk vs RAID-0"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5,0,'Disk operation')"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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HHXnuc5/L5z73ucn7cJIkaaAMgKup3XbbjZtuuolnPvOZvPOd7+Q73/nOo7a577772Hnn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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10a59e160>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"single = [np.median([784349, 785318, 792021]), #write \n",
" np.median([785186, 785230, 785274]), #randwrite\n",
" np.median([1909900, 1918600, 1910600]), #read \n",
" np.median([1917700, 1910300, 1917700])] #readwrite\n",
"\n",
"raid0 = [np.median([1543100, 1547400, 1546100]), #write \n",
" np.median([1546800, 1546700, 1546800]), #randwrite\n",
" np.median([3825600, 3825600, 3838900]), #read \n",
" np.median([3786700, 3787400, 3788800])] #readwrite\n",
"\n",
"index = ['WRITE', 'RANDWRITE', 'READ', 'RANDREAD']\n",
"\n",
"df = pd.DataFrame({'Single': single, 'RAID-0': raid0}, index=index)\n",
"ax = df.plot.bar(rot=0, figsize=(10,7), ylim=[0, 3900000], title='Single disk vs RAID-0 throughput', logy=False)\n",
"\n",
"# Change the X and Y axis' labels\\n\",\n",
"ax.set_ylabel('Median throughput (KB/s)')\n",
"ax.set_xlabel('Disk operation')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Find the right block size\n",
"\n",
"## Write"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5,0,'Block sizes')"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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sTUYrvwY8THpBobuTfQH+FvhGCGEF6TmYtyTttwDDk/ZvAA2vRGlOXvW2LrlpSZIkSf3T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\nZjZTDjTNzMzMzMxspv4fc3Ytu4tgbQ0AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10a587278>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"bs_sequencial = pd.DataFrame({\n",
" 'write': [247293, 189403, 97295, 48716, 24368, 12209, 6112, 3087, 1543], \n",
" 'randwrite': [58829, 64895, 65357, 41508, 22378, 12047, 6115, 3093, 1546]}, \n",
" index=[4, 8, 16, 32, 64, 128, 256, 512, 1024])\n",
"lines_bs_sequencial_iops = bs_sequencial.plot.line(figsize=(15,7), \n",
" ylim=[0, 270000], \n",
" xlim=[4, 1024], \n",
" title='IOPS Raid-0', \n",
" logy=False, \n",
" grid=True, \n",
" xticks=[4, 8, 16, 32, 64, 128, 256, 512, 1024])\n",
"lines_bs_sequencial_iops.set_ylabel('IOPS')\n",
"lines_bs_sequencial_iops.set_xlabel('Block sizes')\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5,0,'Block sizes')"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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BBx5g+/bt3dsWLlzIlVdeyaJFi1i4cCHXXXcdc+bMSemenqFQiEgkAsCSJUu4++672bJl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\nkiT1jSFUkiRJktQ3hlBJkiRJUt/8f5ae0PFH6xqfAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10a8907f0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"bs_sequencial_tps = pd.DataFrame({\n",
" 'write': [989176, 1479800, 1520300, 1522500, 1523200, 1526200, 1528200, 1543700, 1543700], \n",
" 'randwrite': [235318, 519161, 1021300, 1297200, 1398700, 1505100, 1528200, 1546600, 1546500]}, \n",
" index=[4, 8, 16, 32, 64, 128, 256, 512, 1024])\n",
"\n",
"lines_bs_sequencial_tps = bs_sequencial_tps.plot.line(figsize=(15,7), \n",
" ylim=[989176, 1600000], \n",
" xlim=[4, 1024], \n",
" title='Throughput (KB/s) Raid-0', \n",
" logx=False, \n",
" grid=True, \n",
" xticks=[4, 8, 16, 32, 64, 128, 256, 512, 1024])\n",
"lines_bs_sequencial_tps.set_ylabel('Average Throughput (KB/s)')\n",
"lines_bs_sequencial_tps.set_xlabel('Block sizes')\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5,0,'Block sizes')"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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qNuE9h9Ui4p3AqUB7RPwoMz84PWXVrr+/GFbqPYeSJEmSVLdxx2JGxBtGNP1u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\nSUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10a8d3400>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"disk_utilization_write = pd.DataFrame({\n",
" 'NVMe0n1': [52.79, 83.26, 98.96, 98.06, 98.80, 98.76, 98.83, 98.71, 98.83], \n",
" 'NVMe1n1': [47.26, 83.93, 98.96, 99.02, 98.80, 98.76, 98.83, 98.82, 98.83]}, \n",
" index=[4, 8, 16, 32, 64, 128, 256, 512, 1024])\n",
"\n",
"disk_utilization_write_plot = disk_utilization_write.plot.line(figsize=(15,7), \n",
" ylim=[40, 100], \n",
" xlim=[4, 1024], \n",
" title='Disk utilization (randwrite)', \n",
" logx=False, \n",
" grid=True, \n",
" xticks=[4, 8, 16, 32, 64, 128, 256, 512, 1024])\n",
"disk_utilization_write_plot.set_ylabel('Utilization (%)')\n",
"disk_utilization_write_plot.set_xlabel('Block sizes')\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Read"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5,0,'Block sizes')"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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mN/auOtvFM5pte2m6IJAkSZIkGTS70e2qs5CqaIILAkmSJEkSBs1u5eYECvJy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\niDTV/wcdtTNxnhY19QAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10a8c5a20>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"iops_read_df = pd.DataFrame({\n",
" 'read': [262794, 182608, 222760, 119755, 61328, 30558, 15285, 7667, 3817], \n",
" 'randread': [272818, 250507, 133869, 98750, 55970, 29438, 15093, 7578, 3822]}, \n",
" index=[4, 8, 16, 32, 64, 128, 256, 512, 1024])\n",
"iops_read_df_plot = iops_read_df.plot.line(figsize=(15,7), \n",
" ylim=[3717, 292818], \n",
" xlim=[4, 1024], \n",
" title='IOPS Raid-0', \n",
" logy=False, \n",
" grid=True, \n",
" xticks=[4, 8, 16, 32, 64, 128, 256, 512, 1024])\n",
"iops_read_df_plot.set_ylabel('IOPS')\n",
"iops_read_df_plot.set_xlabel('Block sizes')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5,0,'Block sizes')"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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ORKGicRCirr0uvIwIG10dHU2EqEZBaIwQNRSQmgxCdZ+xCDjlsR0jAlmTwW/cQDdibMOO\nrwuK9eMa69zSdDKEzic774Vr/g5uuAj6d8MTngtnfQqe/OqiMilJC0jm6EpEM6GkmcDTTKgZdXzd\nGGqBafwgsj/IjN/H8LA21vFbt/Xy9YdvGKPv4YFk1OcbJ6BNNtCNDoqz/V/F9Br6Y72+OtJKdaW+\nmlJr74AlHR0thIr6EDW5IBQjAtXozzH63OMFoaHPO6J6NGFla6x+68PPGN+lpIXPEDrXZcL9V8PV\nn4Gf/1txfdZTfwnO+CAccepsj05aUMar8gxVSJqo8jQzpa2Z4xtVb5oJF6MqKWOMvZkKz1jT2cat\nPI2q4ozcZ6IpesP7WEiz2SIYOxiUf5gPq0LU/SHf11vlkcGecUPF8OA0POyMClHjhYomKiDjhpUG\nVZfmA11d8BkRTpoNa+OFss4IooPR5y6/S6s7kjQ7DKFzVWUAbv0nuPo8ePhGWL4Onv9heM4HYM3h\nsz06aZjH+wbZ2r2Prd29bN3Vy8Pd+7h9Sx9X7r51/GltdVPXxruGp1Fw2b9PfcgaI0QOTa8bu9o0\nVD1bYFWe+tAz7nU59SGmiQrPWNO+ltQFgpH7jDedrZnqUqPA0vw0s8aBp5nqTjNT2ZoNclOx2Wur\nJUkLkCF0rtn7GFz/Rbj287B7Kxx8HLz6r+AZb4Olq2Z7dFqEegcqbOsuguXWXb1s7d7Hw929bN1V\nhM6Hd+2jp3dw1HHLOmHp1gebmtZWq3Y0uoanI5q4hmcoKIy/YEGj4DHq2pwWqzzNTGlrro/xp62N\nd7wVHkmSNFcZQueKHXcWVc+bvlLcluTYF8M5/xuOO7NYjEdqg4FKlW3dvUUFc6iSWYbMMnQ++vjo\ne8IeuHIJh61dwZEHruDZxxzEYeuWc/jaFRy2djmHr1vBhjXL+dFV37eCI0mSpFEMobMpE+66ogif\nd34HOpfCyW+GM34DNj5ttkenea5STX6xu294BXNEJfMXe/pGTUFdvbyrCJTrlnPyEWs5rC5cHrZ2\nOYetXcGKpS6EJUmSpKkxhM6WB6/ntOs+DFfeBysPgRd/DJ79Pjjg0NkemeaBzGTHnv5h1cut3b3D\npslu7+llcMTKLiuWdA5VLU84YT2HrVvB4WuXD3s+YJn/syBJkqT28a/N2fLvH2PJQA+89v/CyW+C\nJctne0SaIzKT7n0Do6qWtesvt3b3sq27l/5KddhxS7s6ykrlck4/tpgiu3FtGS7XruDwdctZu2KJ\n1wpKkiRpVhlCZ8Mjt8OD1/LAk97Dcae+Y7ZHoxm2u3dgKFBuG1G9rE2d3TdQGXZMZ0ewcU0RMJ9x\n1Dpe+bTidVHBLKbOHrxqqQFTkiRJc54hdDZcfyF0LGH7hpdw3GyPRdOqd6AyVK2sPddfi7l1Vy+7\n+4avJBsBh65exmFrV/Dkjat5yYmHjroGc/3qZXR6A29JkiQtAIbQmTbQCzd/FZ5yDgNL1872aDQJ\n/YPVoVuVjLplSfm8c+/AqOMOXrWUw9Yt5+iDV/HcJx7MYeuGL/SzYc1ylnS6ArIkSZIWB0PoTLv9\nX2DfTnjWu+D+2R6MagYrVR7Z3Td8Bdld+29b8vCuXnbs6Rt13NoVS4YC5SlPWDesenn4uiJgLl/i\nSrKSJElSjSF0pl1/ARx4DBzzIrj/+7M9mkWhWk127Onj4e5eto1xm5LaSrIjFpLlgGVdHLZ2ORvX\nLucpG9fsvxfmuv0hc+VSf4UkSZKkyfAv6Jm0YwvcdxW87A+gw+mX0yEz2bl3YNzrLx/u3sf2nl4G\nKsMT5rKujqGq5fOedAiHl8GyPmiuWb5klj6VJEmStHAZQmfSDRdCdMIz3z7bI5m3Htq1j4t+fB9X\n3rKPP7xuM1u799E7MPxWJUs6g43llNjTjj6wuE1JLWSWU2cPXOmtSiRJkqTZYAidKYP9cNM/wImv\nhNUbZ3s080pmcsP9uzj/qnv491u3AXDM6uCkI9fw8qccOjQ1tlbJPGTVMjpcSVaSJEmakwyhM+WO\nS2HvDjj1XbM9knljoFLlsp9t4wtX3cNPH9jFmuVdvP+Fx/LO5x7DnTddw6ZNp872ECVJkiRNkiF0\nptxwIaw5Eo572WyPZM7btbefr1z7AF/68b1s7e7l2ENW8cfnPpXXn3okq5YV/8neObtDlCRJkjRF\nhtCZsPNeuOsK2PQx6PB2HePZ8sgeLvjRPXzj+ofYN1Dh+ccdzKd+6WlsOuFQp9dKkiRJC4QhdCbc\ncBFEwCm/MtsjmXMyk6u27OALV93D5jt+wdKuDl73zMN57wuO5ckb18z28CRJkiRNM0Nou1UG4aYv\nw3Evh7VHzvZo5ozegQr/fONDnP/De/jP7Xs45IBl/NeXn8Dbz3gChxywbLaHJ0mSJKlNDKHtdud3\nYPdWeNVfzvZI5oRHenq56Or7+PI19/PY4/085bA1/OWbnsE5zziMZV1OVZYkSZIWOkNou91wIRyw\nAU54xWyPZFb97KFuzr/qHv7l5ocZrCYve/IG3veCYznjiQd5v05JkiRpETGEtlP3Q0Ul9Pkfgc4l\nsz2aGVepJpfftp3zf3gP197zGKuWdvL204/m3c87hmMOWTXbw5MkSZI0Cwyh7XTTlyGrcOo7Znsk\nM2p37wAXX/cgF/zoHh54bB9HrFvB7736KbzptKNYu2LxhXFJkiRJ+xlC26VaKVbFfeImOOiJsz2a\nGfHAY3v54g/v5eLrHmBP3yCnHX0gv/vKp3DmSRvo6uyY7eFJkiRJmgMMoe1y1xXQfT+c+YezPZK2\nykx+cu9OvnDV3Vx+23Y6Inj10w/jvc8/lmcctW62hydJkiRpjjGEtssNF8DKg+HJr57tkbRF/2CV\nf7vlYc6/6l5ueaibdSuX8OsvfhLvfO4xbFy7fLaHJ0mSJGmOMoS2w55H4I7L4PRfh66Fdc/Lxx7v\n5x+uuY8v/fg+Htndx5PWr+JTv/Q0Xn/KkaxY6i1WJEmSJDVmCG2Hm74M1UE49V2zPZJp85/bd/PF\nH97DN294iL7BKi88/hD+5xufzouOX09Hh7dYkSRJktQcQ+h0y4QbvgRPeB6sP2G2R9OSajW58s5f\ncP5V9/CDO3ewrKuD1596JO95/jGcsGH1bA9PkiRJ0jxkCJ1u9/4AHrsbXvzR2R7JlO3rr/CNGx7k\niz+8h7t+8TiHrl7Gfz/rBH759KM5aNXS2R6eJEmSpHnMEDrdrr8Qlq+Fk86d7ZFM2rbuXi788b18\n5dr72bV3gJOPWMun3/JMXnXyYSzt8hYrkiRJklpnCJ1Oex+D2y+BZ70HlqyY7dE07acP7OILV93D\npbdspZrJWSdt5L0vOJZnH3MgEV7vKUmSJGn6GEKn00+/ApV+eNbcX5BosFLlO7dt5wtX3cP19+3k\ngGVdvOt5x/Du5x3DUQetnO3hSZIkSVqg2hZCI2I58H1gWdnP1zPzExFxAfBioLvc9d2ZeVMUJbf/\nDbwK2Fu231Ce613A75X7/0lmXli2Pwu4AFgBXAp8ODMzIg4CvgYcA9wLvDkzdzbqo2WZxVTcI06D\nDU+dllO2Q/e+AS7+yQNc8KN7eWjXPo46aAV/8JqTeNNpR7J6+ZLZHp4kSZKkBa6dldA+4KWZuSci\nlgBXRcRl5bbfycyvj9j/lcDx5eN04LPA6WWg/ARwGpDA9RFxSWbuLPf5VeAaihB6NnAZ8DHgu5n5\n5xHxsfL9R8frYzo+7Jqen8OOO+C1/2c6Tjft7t3xOBf86F4uvu4B9vZXOP3Yg/iDc07i5U/ZQKe3\nWJEkSZI0Q9oWQjMzgT3l2yXlIxscci7wpfK4qyNiXUQcBmwCLs/MxwAi4nLg7IjYDKzJzKvL9i8B\nr6MIoeeWxwFcCGymCKFj9pGZW1v9vIc//B1YegA89fWtnmpaPfZ4P//7hl5u+vZmujqCc55+OO99\nwbE87Yi1sz00SZIkSYtQW68JjYhO4HrgOOAzmXlNRPwG8KmI+APgu8DHMrMPOAJ4oO7wB8u2Ru0P\njtEOsKEuWG4DNpSvxzvXsBAaER8APgCwfv16Nm/eDMCePXuGXtfrGtjDc39xFQ9veAn/+ePrGnwj\nw413vul00W19/PQXg7zmiUt52VFdrFu+ix133sjmO9vabdvNxHen1vgzklrn75EkaSFqawjNzArw\nzIhYB/xTRDwN+DhFMFwKfI6iQvlHbRxDRkSjCuxYx3yOYmyceOKJuWnTJgA2b95M7fUw134eqv0c\n/pqPcfgRpzbdz7jnmybbunv5weVX8MIjlvB/fvWstvUzG9r93al1/oyk1vl7JElaiGbk5o+ZuQu4\nAjg7M7dmoQ/4IvCccreHgKPqDjuybGvUfuQY7QDby6m8lM+PTNBHa7Z8l70rDofDT2n5VNPps5u3\nUM3kNU90wSFJkiRJc0PbQmhErC8roETECuBM4Od14TAoruH8WXnIJcA7o3AG0F1Oqf02cFZEHBgR\nBwJnAd8ut/VExBnlud4JfKvuXLX7pLxrRPtYfbRmYC8DS9bAHLqn5tbufXzl2gd402lHsn7ljPxb\ngyRJkiRNqJ3TcQ8DLiyvC+0ALs7Mf42I70XEeiCAm4BfL/e/lOLWKVsobp/yHoDMfCwi/hj4Sbnf\nH9UWKQI+yP5btFxWPgD+HLg4It4H3Ae8uVEfLasMUO2YW9XGz26+i2omH9x0HHfdfO1sD0eSJEmS\ngPaujnszMGp+ama+dJz9E/jQONvOB84fo/064GljtD8KvGwyfbSk0kdGWy+vnZSt3fv4alkFPeqg\nldw12wOSJEmSpJLzNKdDpX9OVUJrVdAPveS42R6KJEmSJA1jCJ0Og/1UO+ZGJXR/FfQojjxw5WwP\nR5IkSZKGMYROh0o/GXOjErq/Cvqk2R6KJEmSJI1iCJ0OlblRCbUKKkmSJGmuM4ROhzlyTahVUEmS\nJElznSF0Ogz2z/rquA/vsgoqSZIkae4zhE6HOTAd1yqoJEmSpPnAEDodZnlhood37eNrP7EKKkmS\nJGnuM4S2qlqBrMxqJfSzm+8isQoqSZIkae4zhLaq0g8wawsTWQWVJEmSNJ8YQls12AcwawsT1aqg\nH9xkFVSSJEnS3GcIbVVlAJidSqhVUEmSJEnzjSG0VZXZq4RaBZUkSZI03xhCWzVL14RaBZUkSZI0\nHxlCWzVYC6EzWwk9b/MWq6CSJEmS5h1DaKvKSuhMTse1CipJkiRpvjKEtmoWFiY6b/MWAKugkiRJ\nkuYdQ2irZnhhIqugkiRJkuYzQ2irZnhholoV9EMvOW5G+pMkSZKk6WQIbdUMLkxUq4K++bSjOGLd\nirb3J0mSJEnTzRDaqqGFidpfCR26FtQqqCRJkqR5yhDaqvKa0HZXQq2CSpIkSVoIDKGtmqHVcT9z\nhVVQSZIkSfOfIbRVM3Cf0Id27ePi66yCSpIkSZr/DKGtGqxNx21fJfQ8q6CSJEmSFghDaKvK6bjt\nqoRaBZUkSZK0kBhCW1VpbyXUKqgkSZKkhcQQ2qqhhYmmvxJqFVSSJEnSQmMIbdVgH0QHROe0n7pW\nBf2QVVBJkiRJC4QhtFWVfuhcNu2nrVVB3/LsozjcKqgkSZKkBcIQ2qpKP3QunfbTDt0XdJNVUEmS\nJEkLhyG0VZV+6JreEPrgzr38o1VQSZIkSQuQIbRVbaiEnrf5LsAqqCRJkqSFxxDaqsF+6Jy+27NY\nBZUkSZK0kBlCWzXNCxNZBZUkSZK0kBlCWzWN03GtgkqSJEla6AyhrZrGhYmsgkqSJEla6AyhrRrs\nm5ZKqFVQSZIkSYuBIbRVlYFpCaGfueIugrAKKkmSJGlBM4S2qtJ6JdQqqCRJkqTFwhDaqsoAdLW2\nOu5nrriLjgh+Y9OTpmlQkiRJkjQ3GUJbVWntPqFWQSVJkiQtJobQVrW4MJFVUEmSJEmLiSG0VS0s\nTLRjX9UqqCRJkqRFxRDaqhYWJvrXuwasgkqSJElaVAyhrZriwkQP7tzLDx4atAoqSZIkaVExhLZq\nsG9KCxN9+Zr7AayCSpIkSVpUDKGtyCxXx518JfTeHY9z6MqwCipJkiRpUTGEtqJaAXJK14Ru6+ll\n3bKY/jFJkiRJ0hxmCG1Fpa94nsJ03Ed6+jhwuV+/JEmSpMXFFNSKSn/xPMmFiarVZHtPLwdaCZUk\nSZK0yBhCWzFYhtBJVkIffbyfwWqybrkhVJIkSdLiYghtRa0SOsmFibb39AJYCZUkSZK06BhCWzEU\nQie3MNFQCLUSKkmSJGmRaVvSDhk5AAAgAElEQVQIjYjlEXFtRPw0Im6NiD8s24+NiGsiYktEfC0i\nlpbty8r3W8rtx9Sd6+Nl+x0R8Yq69rPLti0R8bG69kn3MSVD14RONoQWCxq5Oq4kSZKkxaadldA+\n4KWZ+QzgmcDZEXEG8BfAX2fmccBO4H3l/u8Ddpbtf13uR0ScBLwVeCpwNnBeRHRGRCfwGeCVwEnA\n28p9mWwfUzZYWx13ciF0W08vEbDWECpJkiRpkWlbCM3CnvLtkvKRwEuBr5ftFwKvK1+fW76n3P6y\niIiy/auZ2ZeZ9wBbgOeUjy2ZeXdm9gNfBc4tj5lsH1NTGSieJ3tNaHcvB69aRleHIVSSJEnS4tLV\nzpOX1crrgeMoqpZ3Absyc7Dc5UHgiPL1EcADAJk5GBHdwMFl+9V1p60/5oER7aeXx0y2jx0jxv0B\n4AMA69evZ/PmzQDs2bNn6DXA2l23cgpw089uY8+SJw7b1sjt9/ayqiPZs6e36WNaMXLcC8FC/EwL\njT8jqXX+HkmSFqK2htDMrADPjIh1wD8BT25nf9MlMz8HfA7gxBNPzE2bNgGwefNmaq8BuKsKN8Ez\nT302u+7pG76tgT+/6fscv34FBxzweNPHtGLUuBeAhfiZFhp/RlLr/D2SJC1EM7I6bmbuAq4Angus\ni4ha+D0SeKh8/RBwFEC5fS3waH37iGPGa390Cn1MTW067qQXJurl0DXLp9ytJEmSJM1X7Vwdd31Z\nASUiVgBnArdThNE3lru9C/hW+fqS8j3l9u9lZpbtby1Xtj0WOB64FvgJcHy5Eu5SisWLLimPmWwf\nUzOFhYn6Bivs3DvARkOoJEmSpEWondNxDwMuLK8L7QAuzsx/jYjbgK9GxJ8ANwJfKPf/AnBRRGwB\nHqMIlWTmrRFxMXAbMAh8qJzmS0T8JvBtoBM4PzNvLc/10cn0MWVD9wltfmGiR8rbs2xcsxweb6l3\nSZIkSZp32hZCM/Nm4JQx2u+mWNl2ZHsv8KZxzvUp4FNjtF8KXDodfUzJUAhd0vQh23p6ATh0zTJD\nqCRJkqRFZ0auCV2waiG0q/lK6PYyhG5c63RcSZIkSYuPIbQVQ/cJbf6a0G3dZQj1mlBJkiRJi1DD\n6bgR8VzgV4AXUlzjuQ/4GfBvwN9nZnfbRziXTWFhokd297G0q4O1K5qfwitJkiRJC8W4ldCIuAx4\nP8XCP2dThNCTgN8DlgPfiojXzsQg56yha0InVwnduGY5EdGmQUmSJEnS3NWoEvqOzNwxom0PcEP5\n+KuIOKRtI5sPphJCe3qdiitJkiRp0Rq3EloLoBGxKiI6ytcnRMRrI2JJ/T6LVqUfOrqgo/lLax/p\n6S1WxpUkSZKkRaiZ9PR9YHlEHAF8B3gHcEE7BzVvDPZNqgqamVZCJUmSJC1qzYTQyMy9wOuB8zLz\nTcBT2zuseaIyMKkQ2rNvkN6BKhsMoZIkSZIWqaZCaLlK7tspVsUF6GzfkOaRyuQqodt3F7dn2eA9\nQiVJkiQtUs2E0I8AHwf+KTNvjYgnAle0d1jzRGUAupq/vtN7hEqSJEla7MZdHTciPg78e2ZeCVxZ\na8/Mu4HfmoGxzX2Vfuhs/n6f23rKSqgLE0mSJElapBrdouVu4MMR8Qzgp8BlwHcyc+eMjGw+GOyD\nzuYD5SNDIdRKqCRJkqTFadwQmplfA74GEBGnAGcD34yITuA/KKqk187IKOeqysCkK6HrVi5h+RIv\nqZUkSZK0ODWqhA7JzBuBG4E/i4g1wJnA+4FFHkInuTBRTx8bVlsFlSRJkrR4NQyhEXE08Hhm7oiI\nM4AXAHdl5jeAb8zEAOe0SS5MtL2n15VxJUmSJC1q466OGxG/D3wPuDoi/gT4NHAI8FsR8ekZGt/c\nNtg3uem43b1sdFEiSZIkSYtYo0ro24CnACuB+4GNmbk3IrqAm2ZicHNepR86D2xq18FKlR17+lyU\nSJIkSdKi1iiE9mZmP9AfEXdl5l6AzByMiP6ZGd4cN4lbtOzY0081XRlXkiRJ0uLWKISui4jXAwGs\nKV9Tvl/b9pHNB5X+pq8Jrd0jdKMhVJIkSdIi1iiEXgmcU77+ft3r2ntV+pteHXe79wiVJEmSpIYh\n9COZ2T3Whog4rU3jmV8GpxBC17owkSRJkqTFa9zVcYH/iIhRq+5ExJnAP7VvSPPIJCqh27p76ewI\nDl5lCJUkSZK0eDUKoZ8DroiI9bWGiPjlsv3V7R7YvDCp6bh9HLp6GZ0d0eZBSZIkSdLcNe503Mz8\nfET0At+LiLOAtwC/DrwkM++dofHNbZV+6Gp+Oq7Xg0qSJEla7BpdE0pmXlQG0Rsp7hX6gszcMSMj\nm+syJ70w0RPXr2rzoCRJkiRpbhs3hEbELUBS3JJlJXAwRVU0gMzMp8/MEOeoykDx3Ow1oT29PO9J\nB7dxQJIkSZI09zWqhL5mxkYxH1X6i+cmQuje/kF29w6yYa3TcSVJkiQtbo1C6P2ZmY0OjoiYaJ8F\nqxZCuyZe7XZ7Tx8AG1YbQiVJkiQtbo1Wx70iIv5LRDyhvjEilkbESyPiQuBd7R3eHDZUCV0y4a7b\nuot7hG60EipJkiRpkWtUCT0beC/wlYg4FtgFLAc6ge8An87MG9s/xDlqsKhu0tlMJbQIoa6OK0mS\nJGmxa3SLll7gPOC8iFgCHALsy8xdMzW4OW0SCxPtD6ETB1ZJkiRJWsga3qKlJjMHgK1tHsv8UqlV\nQpuYjtvTy6qlnaxePvG+kiRJkrSQNbomVI1MamGiXlfGlSRJkiQMoVM32PzCRNt7+lwZV5IkSZJo\nIoRGxF8007boDK2OO3EldFt3ryvjSpIkSRLNVULPHKPtldM9kHlnKIQ2XpgoM3lkd68r40qSJEkS\nDRYmiojfAD4IPDEibq7btBr4YbsHNucNXRPaOIQ+9ng/A5V0ZVxJkiRJovHquP8AXAb8GfCxuvbd\nmflYW0c1HzRZCd1W3p5lo5VQSZIkSWp4n9BuoDsiPjpi0wERcUBm3t/eoc1xg82F0Ed6ilu5HGoI\nlSRJkqSm7hP6b0ACASwHjgXuAJ7axnHNfZOthLowkSRJkiRNHEIz8+T69xFxKsW1ootbpahwThhC\nu4sQeuhqrwmVJEmSpEnfJzQzbwBOb8NY5pfKQPHc1ThcPrK7l0MOWMqSTm/JKkmSJEkTVkIj4r/V\nve0ATgUebtuI5ovBWiV0ScPdtnV7exZJkiRJqmnmmtDVda8HKa4R/UZ7hjOPDF0T2rgSuq2nj8O9\nHlSSJEmSgOauCf1DgIhYU7zN3W0f1XxQm447QSX0kZ5ennnUuhkYkCRJkiTNfRNeqBgRp0XELcDN\nwC0R8dOIOK39Q5vjKn3FokQR4+7SN1jh0cf7vUeoJEmSJJWamY57PvDBzPwBQES8oGx7ejsHNudV\nBiZcGfcXu4vrRjeudWVcSZIkSYLmVset1AIoQGZeRXFt6OI22DfhVNzt5T1CD7USKkmSJElAc5XQ\nKyPi74CvAAm8Bdhc3i+0dsuWxafSP/GiRN1lJdQQKkmSJElAcyH0GeXzJ0a0n0IRSl86rSOaLyr9\nE07HrVVCDaGSJEmSVGhmddyXzMRA5p1KP3RNHEKXdnWwbmXjabuSJEmStFhMGEIjYhnwBuCY+v0z\n84/aN6x5oIlK6LaeXjasWUY0WEFXkiRJkhaTZqbjfgvoBq4H+to7nHlksLnpuBtWOxVXkiRJkmqa\nCaFHZubZbR/JfNPUNaF9nHT4mhkakCRJkiTNfc3couVHEXFy20cy31T6oWv81XEzk23dvS5KJEmS\nJEl1xg2hEXFLRNwMvAC4ISLuiIib69obioijIuKKiLgtIm6NiA+X7Z+MiIci4qby8aq6Yz4eEVvK\nvl5R13522bYlIj5W135sRFxTtn8tIpaW7cvK91vK7cdM1MekVfob3id0d98g+wYqbFjT+DYukiRJ\nkrSYNJqO+5oWzz0I/HZm3hARq4HrI+LycttfZ+Zf1u8cEScBbwWeChwO/EdEnFBu/gxwJvAg8JOI\nuCQzbwP+ojzXVyPib4H3AZ8tn3dm5nER8dZyv7eM10dmVib/6fpg5cHjbt7eXdyeZYOVUEmSJEka\nMm4lNDPvy8z7gN1jPB6e6MSZuTUzbyhf7wZuB45ocMi5wFczsy8z7wG2AM8pH1sy8+7M7Ae+Cpwb\nxZKzLwW+Xh5/IfC6unNdWL7+OvCycv/x+pi8ykDDa0K39xRrODkdV5IkSZL2a2ZhohuAo4CdQADr\ngG0RsR341cy8fqITlNNhTwGuAZ4P/GZEvBO4jqJaupMioF5dd9iD7A+tD4xoPx04GNiVmYNj7H9E\n7ZjMHIyI7nL/Rn3Uj/cDwAcA1q9fz+bNmwHYs2fP0Ovn7NnF7tjF7WNsA7jqoQEA7r39p+y7f+ys\nP/KYdpmpfmbSQvxMC40/I6l1/h5JkhaiZkLo5cDXM/PbABFxFsV9Q78InEcRCMcVEQcA3wA+kpk9\nEfFZ4I+BLJ//CnjvlD9BG2Tm54DPAZx44om5adMmADZv3kztNTd2sfLwo9gw1jbg1iu2wC13cO5Z\nL2b5ks4x+xl5TLvMVD8zaSF+poXGn5HUOn+PJEkLUTOr455RC6AAmfkd4LmZeTXQcNWdiFhCEUC/\nnJnfLI/fnpmVzKwCn2f/dNiHKCquNUeWbeO1Pwqsi4iuEe3DzlVuX1vuP965Jm+ChYm29/SydsWS\ncQOoJEmSJC1GzYTQrRHx0Yg4unz8D2B7RHQC1fEOKq/B/AJwe2b+r7r2w+p2+yXgZ+XrS4C3livb\nHgscD1wL/AQ4vlwJdynFwkKXZGYCVwBvLI9/F/CtunO9q3z9RuB75f7j9TF5g33QOX4G39bd68q4\nkiRJkjRCM9Nxfxn4BPDP5fsflm2dwJsbHPd84B3ALRFxU9n2u8DbIuKZFNNx7wV+DSAzb42Ii4Hb\nKFbW/VBt1dqI+E3g22Wf52fmreX5Pgp8NSL+BLiRIvRSPl8UEVuAxyiCa8M+Jq0yMGEl1JVxJUmS\nJGm4CUNoZu4A/ss4m7c0OO4qioWMRrq0wTGfAj41RvulYx2XmXczxuq2mdkLvGkyfUxapQ+6xq90\nbu/p44QNq1vuRpIkSZIWkglDaERcQVG1HCYzX9qWEc0H1SpUB8e9RUulmvxiT5+VUEmSJEkaoZnp\nuP+97vVyipVxB8fZd3Go9BfP40zH3bGnj0o12bDWECpJkiRJ9ZqZjjvyPqA/jIipLeazUAyF0LGn\n427v6QVgw2oXJpIkSZKkes1Mxz2o7m0H8CyKW54sXkMhdOzpuNu6ixC60UqoJEmSJA3TzHTc6ymu\nCQ2Kabj3AO9r56DmvFoI7Ro7hG7f3QfARq8JlSRJkqRhmpmOe+xMDGRemaASur27l86O4OADnI4r\nSZIkSfWamY67BPgN4EVl02bg7zJzoI3jmtsGJ5iO29PL+gOW0dkx1h1qJEmSJGnxamY67meBJcB5\n5ft3lG3vb9eg5ryJKqE9va6MK0mSJEljaCaEPjszn1H3/nsR8dN2DWheqBTXfNI1/uq4xxy8agYH\nJEmSJEnzQ0cT+1Qi4km1NxHxRKDSviHNA5VyJvI49wnd1t3ryriSJEmSNIZmKqG/A1wREXdTrJB7\nNPCeto5qrhssK6FjTMfd11+hp3eQDa6MK0mSJEmjNAyhEdEB7AOOB04sm+/IzL52D2xOG6qEjp6O\nu72nuEeoIVSSJEmSRmsYQjOzGhGfycxTgJtnaExz39DCRKOn424rQ6j3CJUkSZKk0Zq5JvS7EfGG\niPB+IzUNFiaqVUI3rvUeoZIkSZI0UjMh9NeAfwT6IqInInZHRE+bxzW3DU3HHX1NaC2EHmolVJIk\nSZJGmXBhosxcPRMDmVcaLEy0vaePlUs7Wb2smTWfJEmSJGlxaSopRcQRFKviDu2fmd9v16DmvKFr\nQkeH0G09vWxcsxxnL0uSJEnSaBOG0Ij4C+AtwG3svz9oAobQrjEqod29HLrG60ElSZIkaSzNVEJf\nB5y46G/LUq9BJXT77l6e9YQDZ3hAkiRJkjQ/NLMw0d3A6HuRLGaDY4fQzGR7T5/3CJUkSZKkcYxb\nCY2I/0Mx7XYvcFNEfBcYqoZm5m+1f3hzVKUfCOgY/vXt3DtA/2DVECpJkiRJ42g0Hfe68vl64JIZ\nGMv8UekvqqAjFh/af49QQ6gkSZIkjaVRCH1JZr57pgYyr1T6oWv04kPbyhC6wYWJJEmSJGlMja4J\nffqMjWK+qfRD5+jLZLd310KolVBJkiRJGkujSujKiDgFGPOGl5l5Q3uGNA8M9kHn6Grn9p7iktlD\nVxtCJUmSJGksjULoEcBfMXYITeClbRnRfFAZGLMSuq2nl4NXLWVpVzOLDkuSJEnS4tMohG7JzMUb\nNBup9I15j9BHenqdiitJkiRJDViym4rKwLgLE7kyriRJkiSNr1EI/eiMjWK+Gewbe2Ginl5XxpUk\nSZKkBsYNoZn5nZkcyLxS6R+1MNFgNdmxp9/puJIkSZLUgNNxp2KMhYm6+xKAjYZQSZIkSRpX0yE0\nIla2cyDzSqVv1DWhO3uLEGolVJIkSZLGN2EIjYjnRcRtwM/L98+IiPPaPrK5rNI/anXcnX2GUEmS\nJEmaSDOV0L8GXgE8CpCZPwVe1M5BzXmDo0PorqFKqAsTSZIkSdJ4mpqOm5kPjGiqtGEs88c4ldCl\nnR0ctGr0/UMlSZIkSYWuJvZ5ICKeB2RELAE+DNze3mHNcWOG0CqHrllGRMzSoCRJkiRp7mumEvrr\nwIeAI4CHgGeW7xevSj90jZ6O6/WgkiRJktTYhJXQzNwBvH0GxjJ/jDMd94lHGEIlSZIkqZEJQ2hE\n/M0Yzd3AdZn5rekf0jwwzsJEVkIlSZIkqbFmpuMup5iCe2f5eDpwJPC+iPh0G8c2d42ohO7uHaC3\n4sq4kiRJkjSRZhYmejrw/MysAETEZ4EfAC8Abmnj2OamagWyAl37A+f2nj4ANq61EipJkiRJjTRT\nCT0QOKDu/SrgoDKU9rVlVHNZpb947lwy1LS9pxfA6biSJEmSNIFmKqH/E7gpIjYDAbwI+NOIWAX8\nRxvHNjcNlrm7c38ldFu3IVSSJEmSmtHM6rhfiIhLgeeUTb+bmQ+Xr3+nbSObqyoDxXN9JXR3EUI3\nGkIlSZIkqaFmpuMC9AJbgZ3AcRHxovYNaY6r1Cqh+xcm2t7dy8ouWLG0c5YGJUmSJEnzQzO3aHk/\n8GGKFXFvAs4Afgy8tL1Dm6Nq14TWLUz04M59rFseszQgSZIkSZo/mqmEfhh4NnBfZr4EOAXY1dZR\nzWUjpuN27x3gB1t28OSDrIJKkiRJ0kSaCaG9mdkLEBHLMvPnwIntHdYcNmJhoktufpj+wSovOqKZ\nNZ4kSZIkaXFrJjk9GBHrgH8GLo+IncB97R3WHDZUCS2uCf3H6x7gKYet4eg1g7M4KEmSJEmaH5pZ\nHfeXypefjIgrgLXAv7d1VHNZbWGirqXcvrWHmx/s5pPnnEQMLN5cLkmSJEnNajgdNyI6I+LntfeZ\neWVmXpKZ/e0f2hxVW5iocykXX/cASzs7OPeZR8zumCRJkiRpnmgYQjOzAtwREU+YofHMfYNFCO2n\ni3++8SHOfOoGDly1dIKDJEmSJEnQ3DWhBwK3RsS1wOO1xsx8bdtGNZeVldBr7t/Dzr0DvPm0o2Z5\nQJIkSZI0fzQTQn+/7aOYT8prQi+97VEOX3sQLzjukFkekCRJkiTNHxPeoiUzrwTuBZaUr38C3DDR\ncRFxVERcERG3RcStEfHhsv2giLg8Iu4snw8s2yMi/iYitkTEzRFxat253lXuf2dEvKuu/VkRcUt5\nzN9EREy1j6aVq+P+6N7dvPFZR9LZEZM+hSRJkiQtVhOG0Ij4VeDrwN+VTUdQ3K5lIoPAb2fmScAZ\nwIci4iTgY8B3M/N44Lvle4BXAseXjw8Any37Pwj4BHA68BzgE7VQWe7zq3XHnV22T6qPSSmn4/Zn\nF298llNxJUmSJGkyJgyhwIeA5wM9AJl5J3DoRAdl5tbMvKF8vRu4nSLAngtcWO52IfC68vW5wJey\ncDWwLiIOA14BXJ6Zj2XmTuBy4Oxy25rMvDozE/jSiHNNpo+mVQeK6bhPP/pQnnDwyskcKkmSJEmL\nXjPXhPZlZn8505WI6AJyMp1ExDHAKcA1wIbM3Fpu2gZsKF8fATxQd9iDZVuj9gfHaGcKfWytayMi\nPkBRKWX9+vVs3rwZgD179vDjO27l+cAJB/QNtde21b9vxlSOmYqZ6mcmLcTPtND4M5Ja5++RJGkh\naiaEXhkRvwusiIgzgQ8C/9JsBxFxAPAN4COZ2VMLswCZmRExqUA7WVPpIzM/B3wO4MQTT8xNmzYB\nsHnzZnYOFrdj+dAbXsbylQcMHbN582Zq+zVrKsdMxUz1M5MW4mdaaPwZSa3z90iStBA1Mx33Y8Av\ngFuAXwMuBX6vmZNHxBKKAPrlzPxm2by9NgW2fH6kbH8IqL/I8siyrVH7kWO0T6WPpuwdSO7a/hgA\ny5evaPYwSZIkSVKpmRD6OorrKN+UmW/MzM+X12A2VK5U+wXg9sz8X3WbLgFqK9y+C/hWXfs7yxVs\nzwC6yym13wbOiogDywWJzgK+XW7riYgzyr7eOeJck+mjKdduG6SjOkBGJ3R0NnuYJEmSJKnUTAg9\nB/jPiLgoIl5TXhPajOcD7wBeGhE3lY9XAX8OnBkRdwIvL99DUWG9G9gCfJ5i2i+Z+RjwxxS3hvkJ\n8EdlG+U+/6885i7gsrJ9Un006/sPDrJhZQd0Lp3MYZIkSZKk0oSBMjPfU06rfSXwNuAzEXF5Zr5/\nguOuAsa7iebLxtg/KVbiHetc5wPnj9F+HfC0MdofnWwfE9nyyB7u7q5y0vHLiUcMoZIkSZI0FU1V\nNTNzICIuo1gVdwXFFN2GIXSheWDnXgA2rAroMoRKkiRJ0lRMOB03Il4ZERcAdwJvoJj+urHN45pz\n+gaqAHTloNNxJUmSJGmKmqmEvhP4GvBrmdnX5vHMWf2VMoRWBwyhkiRJkjRFzVwT+rb69xHxAuBt\nmTmlayvnq76BCgCdaQiVJEmSpKlq6prQiDgF+GXgTcA9wDcbH7Hw1CqhndnvNaGSJEmSNEXjhtCI\nOIFiNdy3ATsopuRGZr5khsY2p/QPFiG0o+o1oZIkSZI0VY0qoT8HfgC8JjO3AETEf52RUc1BfUMh\ntB86l83yaCRJkiRpfmq0Ou7rga3AFRHx+Yh4GePf93PB218JHYDOJbM8GkmSJEman8YNoZn5z5n5\nVuDJwBXAR4BDI+KzEXHWTA1wrugbrNAZEJV+p+NKkiRJ0hRNeJ/QzHw8M/8hM88BjgRuBD7a9pHN\nMf2DVbo6gEo/dDkdV5IkSZKmYsIQWi8zd2bm5zLzZe0a0FzVN1hlSS2EOh1XkiRJkqZkUiF0MSsq\noQGDfS5MJEmSJElTZAhtUv9QJdSFiSRJkiRpqgyhTdo/HbfPa0IlSZIkaYoMoU3qq03HrQy4Oq4k\nSZIkTZEhtEl9gxUXJpIkSZKkFhlCm9Q/WKUr0oWJJEmSJKkFhtAm9Q1WWdaZQDodV5IkSZKmyBDa\npP7BKis7Boo3XYZQSZIkSZoKQ2iT+itVlsdg8cZKqCRJkiRNiSG0SX2DFVZ0VIo3hlBJkiRJmhJD\naJP6B62ESpIkSVKrDKFN6hussjxq14S6Oq4kSZIkTYUhtEnDK6HeJ1SSJEmSpsIQ2qS+wSrLvCZU\nkiRJklpiCG1CpZpUqslyyum4nU7HlSRJkqSpMIQ2oX+wCsAyp+NKkiRJUksMoU3oGyym4Q6FUBcm\nkiRJkqQpMYQ2oVYJXWolVJIkSZJaYghtQl9tOq7XhEqSJElSSwyhTegbqoS6Oq4kSZIktcIQ2oTa\nNaFLa5XQLkOoJEmSJE2FIbQJQ9eEUrsm1BAqSZIkSVNhCG1CLYQucTquJEmSJLXEENqEoWtChxYm\nMoRKkiRJ0lQYQpswVAlNp+NKkiRJUisMoU2oVUK7vCZUkiRJklpiCG1Cf6W4FnQJA9DRBR1+bZIk\nSZI0FaapJvQNlJXQHITOZbM8GkmSJEmavwyhTeiv1E3H7Vwyy6ORJEmSpPnLENqE/vprQrushEqS\nJEnSVBlCm1BbmKgzB1yUSJIkSZJaYAhtwv4Q6nRcSZIkSWqFIbQJfYMVlnZ10FkdcGEiSZIkSWqB\nIbQJ/YNVlnV1EFZCJUn6/9u78yi5y3LB498nnaVDEtMxyQgaJLmsmggBAknYDCgJLldkBu+Q6yDb\nBTXgcWY84zILm9yrFxFnLscFFBLUiBcRt0gU8BIQFCWJ2cMSJXKDyJKEJSHppLuf+aN+HSpNJ9Vd\n3V3dSb6fc+pU1ft7t6rq6q6nn/f3liRJXWIQ2gGNRRDar2W7GxNJkiRJUhcYhHZAKRNaV2RC3ZhI\nkiRJkqplENoB25paGNiaCTUIlSRJkqSqGYR2QGNTMwPr+tGvxUyoJEmSJHWFQWgHbGtqYdCAYmOi\n/gahkiRJklQtg9AOaGxqKTKhLseVJEmSpK4wCO2AnTKhBqGSJEmSVDWD0A4wEypJkiRJ3cMgtANe\n2x3XTKgkSZIkdYVBaAdsa279ntDt0H9Qb09HkiRJkvZYPRaERsQtEfFcRKwoK7syIp6OiCXF5b1l\nxz4XEWsi4rGImFFWfkZRtiYiPltWPi4ifleU/2tEDCzKBxX31xTHx1Yao5LG7c1lmdAB1T8pkiRJ\nkrSP68lM6BzgjHbKv5KZE4vLXQAR8XbgHGB80eZrEVEXEXXAV4H3AG8HZhZ1Af656OsQYCNwUVF+\nEbCxKP9KUW+XY3TkgWxrbmFQXdAvm6DOTKgkSZIkVavHgtDMfADY0MHqZwLfz8zGzHwSWAMcX1zW\nZOafMnMb8H3gzIgI4DTgjqL9rcAHy/q6tbh9B/Cuov6uxqiocXsL9XUtpTtmQiVJkiSpav17YczL\nIuIjwELgU5m5EXgL8Pj6sEYAABfqSURBVHBZnXVFGcC/tymfDIwEXszMpnbqv6W1TWY2RcRLRf3d\njbGTiLgEuARg9OjRvGF7Exv+8mcA1vx5HesWLHhdm02bNrGgnfLdqaZNNWo1Ti3tjY9pb+NrJHWd\n7yNJ0t6o1kHo14HPA1lcfxm4sMZzqCgzbwJuAjj88MOzsQUOPegAeBYOOextHDJ52uvaLFiwgGnT\nXl++O9W0qUatxqmlvfEx7W18jaSu830kSdob1XR33Mx8NjObM7MF+CavLYd9GjiwrOqYomxX5euB\nhojo36Z8p76K48OL+rvqa/dzLq4H92su3XA5riRJkiRVraZBaEQcUHb3LKB159yfAucUO9uOAw4F\nfg88Ahxa7IQ7kNLGQj/NzATuA84u2p8H/KSsr/OK22cD/1bU39UYu5VFFPpaEOrGRJIkSZJUrR5b\njhsRtwHTgFERsQ64ApgWERMpJRjXAh8FyMyVEXE7sApoAi7NzOain8uAXwJ1wC2ZubIY4jPA9yPi\nGuAPwM1F+c3AdyJiDaWNkc6pNMbutGZCB/UrTj+tG1jFsyFJkiRJgh4MQjNzZjvFN7dT1lr/H4F/\nbKf8LuCudsr/RDu722bmVuBDnRljd3ZkQqMIQvsbhEqSJElStWq6HHdP9FomtHU5rkGoJEmSJFXL\nILSDBmIQKkmSJEldZRBaQUuRCq0PzwmVJEmSpK4yCO2ggWwr3ehf37sTkSRJkqQ9mEFoBTs2Jmp6\nubjR0HuTkSRJkqQ9nEFoBVlsTTSoeVOpoH54L85GkiRJkvZsBqEVtO6OO3B7kQk1CJUkSZKkqhmE\nVtC6HHdg0ys09xsI/Qf17oQkSZIkaQ9mEFpBayZ0wLaXaeo/tFfnIkmSJEl7OoPQClozof23G4RK\nkiRJUlcZhFbQmgmta3yJpv5DenUukiRJkrSnMwitoDUTWrftZbYPMBMqSZIkSV1hEFpBayY0tr5o\nJlSSJEmSusggtIJMqOsXxFaX40qSJElSVxmEVpBAfX/AIFSSJEmSuswgtIIERtQ1AunuuJIkSZLU\nRQahFWTCqP5bAMyESpIkSVIXGYRWkMAb614FMBMqSZIkSV1kEFpJwohoDULNhEqSJElSVxiEVtAC\njOhXWo7r94RKkiRJUtcYhFaSMNxMqCRJkiR1C4PQCpKkITYDnhMqSZIkSV1lEFpBAsNiM0Q/musG\n9/Z0JEmSJGmPZhBaQSa8ITdD/XCI6O3pSJIkSdIezSC0ggSGshnqG3p7KpIkSZK0xzMIrSAThrZs\nKmVCJUmSJEldYhBaQQL75SYYbCZUkiRJkrrKILSCBPYzEypJkiRJ3cIgtIJM2K/5Fc8JlSRJkqRu\n0L+3J9DXJTCoaedM6Pbt21m3bh1bt27dUTZ8+HBWr17dqb6raVONWo3TGfX19YwZM4YBAwb09lQk\nSZIk1ZBBaAVBMiAbS+eENpfK1q1bx7Bhwxg7dixRfG3LK6+8wrBhwzrVdzVtqlGrcToqM1m/fj3r\n1q1j3LhxvT0dSZIkSTXkctwK6mgp3SjLhG7dupWRI0fuCEDVORHByJEjd8okS5IkSdo3GIRWUNea\n/mxzTqgBaNf4/EmSJEn7JoPQCl7LhLoxkSRJkiR1lUFoBTuC0L38e0LHjh3LCy+80O39rl27lgkT\nJnR7v5IkSZL2TAahFewJmdDMpKWlZY/pV5IkSdK+y91xK9h5Y6J1rzt+1c9WsuovL9Pc3ExdXV2n\n+t5Vm7e/+Q1c8bfjd9t27dq1zJgxg8mTJ7No0SKOP/54li9fzpYtWzj77LO56qqrgFKG85xzzuHu\nu+9m+/bt/OAHP+CII45g/fr1zJw5k6effpqpU6eSme32e9ddd/HYY49xxRVX0NjYyMEHH8zs2bMZ\nOnQoV199NT/72c/YsmULJ5xwAjfeeCMRwaJFi7jwwgsBmD59eqeeE0mSJEl7NzOhFfRrZ3fcvuKJ\nJ55g1qxZrFy5ki9/+cssXLiQZcuWcf/997Ns2bId9UaOHMnixYv5+Mc/znXXXQfAVVddxUknncTK\nlSs566yzeOqpp9rtd8iQIVxzzTXce++9LF68mEmTJnH99dcDcNlll/HII4+wYsUKtmzZwrx58wC4\n4IILuOGGG1i6dGkNnw1JkiRJewIzoRXU0UJz3WDq+g9s93hrxrI3vif0oIMOYsqUKQDcfvvt3HTT\nTTQ1NfHMM8+watUqjjzySAA+8IEPAHDsscdy5513AvDAAw/suP2+972PESNGtNvvww8/zKpVqzjx\nxBMB2LZtG1OnTgXgvvvu49prr+XVV19lw4YNjB8/npNPPpkXX3yRU045BYBzzz2X+fPnV/0YJUmS\nJO1dDEIr6E8zzYNG0bmFtrUxZMgQAJ588kmuu+46HnnkEUaMGMH555+/03dwDho0CIC6ujqampo6\n3C+Uzgs9/fTTue2223aqs3XrVmbNmsXChQs58MADufLKK/3eT0mSJEkVuRy3gn7RQsugN/T2NHbr\n5ZdfZsiQIQwfPpxnn322Q5nHU045he9973sAzJ8/n40bN7Zbb8qUKTz00EOsWbMGgM2bN/P444/v\nCDhHjRrFpk2buOOOOwBoaGigoaGBBx98EIC5c+d2+fFJkiRJ2nuYCa2gjhZaBvXdnXEBjjrqKI4+\n+miOOOIIDjzwwB1LZ3fniiuuYObMmYwfP54TTjiBt771re3WGz16NHPmzGHmzJk0NjYCcM0113DY\nYYdx8cUXM2HCBPbff3+OO+64HW1mz57NhRdeSES4MZEkSZKknUTrrqhq3/g375eP/NN72O/8H7Jg\nwQKmTZvG6tWredvb3rZTvd44J7SvjdNZ7T2PHdX6Wqjv8jWSus73kSSpL4iIRZk5qbv6czluBXW0\nwOC+nQmVJEmSpD2FQWgFdTQT9QahkiRJktQdDEIrqCPpt59BqCRJkiR1B4PQipI6g1BJkiRJ6hYG\noR1Qt9+I3p6CJEmSJO0VDEI7wHNCJUmSJKl7GIR2xF6+O+7atWuZMGFCb09DkiRJ0j7AILQj+ngm\nNDNpaWnp7WlIkiRJUkX9e3sCe4T64bs+Nv+z8NflDG5ugrrOPZ27bLP/O+A9X9xt27Vr1zJjxgwm\nT57MokWL+PSnP803vvENGhsbOfjgg5k9ezZDhw7l6quv5sc//jHbtm3jhBNO4MYbbyQiWLRoERde\neCEA06dP79S8JUmSJKlaZkI7oo8ux33iiSeYNWsW999/PzfffDP33nsvixcvZtKkSVx//fUAXHbZ\nZdx///2sWLGCLVu2MG/ePAAuuOACbrjhBpYuXdqbD0GSJEnSPsZMaEUBA4fu+nCRsdzyyisMGzas\nUz1X06bcQQcdxJQpU5g3bx6rVq3ixBNPBGDbtm1MnToVgPvuu48vfOELNDY2smHDBsaPH8/JJ5/M\niy++yCmnnALAueeey/z586uehyRJkiR1VI9lQiPiloh4LiJWlJW9MSLuiYgniusRRXlExL9ExJqI\nWBYRx5S1Oa+o/0REnFdWfmxELC/a/EtERLVj7E5L3UAodd3nDBkyBCidE3r66aezZMkSlixZwqpV\nq7j55pvZunUrs2bN4jvf+Q7Lly/n4osvZuvWrb08a0mSJEn7sp5cjjsHOKNN2WeBX2XmocCvivsA\n7wEOLS6XAF+HUkAJXAFMBo4HrmgNKos6F5e1O6OaMSrZvN+BHXqwvWnKlCk89NBDrFmzBoDNmzfz\n+OOP7wg4R44cyaZNm7jjjjsAaGhooKGhgQcffBCAuXPn9s7EJUmSJO1zeiwIzcwHgA1tis8Ebi1u\n3wp8sKz821nyMNAQEQcAM4B7MnNDZm4E7gHOKI69ITMfzswEvt2mr86MsccbPXo0c+bMYebMmRx5\n5JFMnTqVRx99lIaGBi6++GImT57MjBkzOO6443a0mT17NpdeeikTJ06k9BRKkiRJUs+LngxAImIs\nMC8zJxT3X8zMhuJ2ABszsyEi5gFfzMwHi2O/Aj4DTAPqM/Oaovz/AFuABUX9dxflJwOfycz3d3aM\nzFzYzrwvoZQtZfTo0cfefvvtAGzatImhQ4cyfPhwDjnkkJ3aNDc3U1dX16nnp5o21ajVOJ21Zs0a\nXnrpparatr4W6rt8jaSu830kSeoLTj311EWZOam7+uu1jYkyMyOiR1Nw1Y6RmTcBNwEcfvjhOW3a\nNAAWLFjAtGnTWL169es2FHqlik2GqmlTjVqN01n19fUcffTRVbVtfS3Ud/kaSV3n+0iStDeq9Ve0\nPNu6BLa4fq4ofxooP/lyTFG2u/Ix7ZRXM4YkSZIkqUZqHYT+FGjd4fY84Cdl5R8pdrCdAryUmc8A\nvwSmR8SIYkOi6cAvi2MvR8SUYsntR9r01ZkxquJ5lF3j8ydJkiTtm3psOW5E3EbpnM5REbGO0i63\nXwRuj4iLgD8Df1dUvwt4L7AGeBW4ACAzN0TE54FHinpXZ2brZkezKO3AOxiYX1zo7BjVqK+vZ/36\n9YwcOZLoo1/f0pdlJuvXr6e+vr63pyJJkiSpxnosCM3Mmbs49K526iZw6S76uQW4pZ3yhcCEdsrX\nd3aMzhozZgzr1q3j+eef31G2devWTgdV1bSpRq3G6Yz6+nrGjBlTuaIkSZKkvUqvbUy0JxswYADj\nxo3bqWzBggWd3mSnmjbVqNU4kiRJklRJrc8JlSRJkiTtwwxCJUmSJEk1YxAqSZIkSaqZ8Ksydi8i\nXgEeK+6OAl7YRdXdHduVatpUo1bj1NLe+Jj2Nr5GUtf5PpIk9QWHZ+aw7urMjYkqeywzJwFExMLW\n223t7tiuVNOmGrUap5b2xse0t/E1krrO95EkqS+IiIXd2Z/LcSVJkiRJNWMQKkmSJEmqGYPQym7a\nxe3d1aum755Uq3FqaW98THsbXyOp63wfSZL6gm79e+TGRJIkSZKkmjETKkmSJEmqGYNQSZIkSVLN\nGIRWEBF1EfGHiFhZXFZExB8j4rmIWNGm7ici4tGi3rVtjtVHxO8jYmlx/KqifG5EPFb0e0tEDOiG\nOTdExB3FXFZHxNSyY5+KiIyIUV0dpycVz8VOz3FEfKl4TMsi4kcR0VCUD4iIWyNiefF4P9d7M983\nRMSBEXFfRKwqfp4/WZRfGRFPR8SS4vLesjZHRsRvi/rLI6K+9x6B1DdExNri/bCkdfv7iPhQ8T5p\niYhJZXVPj4hFRf1FEXFa781ckrSn28Xn7TdGxD0R8URxPaIo/3DxGXx5RPwmIo5q01drzDSvI2Mb\nhFb2SWAtMA6YlJkTgD8DXy2vFBGnAmcCR2XmeOC6Nv00Aqdl5lHAROCMiJgCzAWOAN4BDAb+oRvm\n/P+AX2TmEcBRwOpijgcC04GnumGMnjYHOKNN2T3AhMw8EngcaA02PwQMysx3AMcCH42IsbWZ5j6r\nCfhUZr4dmAJcGhFvL459JTMnFpe7ACKiP/Bd4GPF+2MasL0X5i31RacW75fWgHMF8B+BB9rUewH4\n2+J33XnAd2o4R0nS3mcOr/+8/VngV5l5KPCr4j7Ak8A7i79Bn+f1GxV9kiLm6AiD0N2IiDHA+4Db\ngAAGFx+mXwX+1Kb6x4EvZmYjQGY+V34wSzYVdwcUl8zMu4pjCfweGNPFOQ8HTgFuLsbdlpkvFoe/\nAnwa6PO7UWXmA8CGNmV3Z2ZTcfdhXnuuEhhSvDaDgW3Ay7Wa674oM5/JzMXF7Vco/dJ5y26aTAeW\nZebSos36zGzu+ZlKe57MXJ2Zj7VT/ofM/EtxdyWlv0mDajs7SdLeor3P25SSarcWt28FPljU/U1m\nbizKyz+Hl8dM3+ro2Aahu/d/KQVtzwF/pJRBfAZ4Cfh1m7qHASdHxO8i4v6IOK5tZ0WaeknR3z2Z\n+buyYwOAc4FfdHHO44DngdlFSvxbETEkIs4Enm4NAvYCFwLzi9t3AJspvTZPAddlZts3lHpIkXU+\nGmj9eb6sWK5xS+sSDkrvj4yIX0bE4oj4dC9MVeqLEri7WF57SSfa/Sdgces/PiVJ6iZvysxnitt/\nBd7UTp2LeO1zOLwWM7V0dBCD0F2IiPcDz2XmImAosD+lAO/NwBCK/wqU6Q+8kdLSxP8B3B4RUV4h\nM5szcyKl/xwcHxETyg5/DXggM9sGt53VHzgG+HpmHk0pOLsS+J/A5V3su0+IiP9FaTno3KLoeKCZ\n0mszDvhURPxNL01vnxIRQ4EfAv81M18Gvg4cTGnJ+TPAl4uq/YGTgA8X12dFxLtqP2OpzzkpM48B\n3kNpWfsplRpExHjgn4GP9vTkJEn7rmKl5k4rKItTEC8CPlPcL4+ZOswgdNdOBD4QEWspnXfTQOlc\nt+3AnZTOPSy3DrizWFn7e0r/CWh3859ieex9FGuwI+IKYDTw37th3uuAdWVZ1jsoBaXjgKXF4xkD\nLI6I/bthvJqKiPOB9wMfzte+5PbvKZ0Du71YBv0QMGkXXaibFNn7HwJzM/NOgMx8tvhnSwvwTUr/\nIIDSz+UDmflCZr4K3EXp51Lap2Xm08X1c8CPeO09065iydOPgI9k5h97foaSpH3MsxFxAEBxveMU\nw4g4ktKS2zMzc31RXB4zfR84LSK+W2kQg9BdyMzPZeaYzBxLKYu4BbikyG6+C1jTpsmPgVMBIuIw\nYCClTSQoykaX7eY6GDgdeDQi/gGYAcwsPrh3dd5/Bf49Ig4vit5FacnWf8jMscXjWQccU9TdY0TE\nGZRS/R8oAplWTwGnFXWGUMpGP1r7Ge47ivfBzcDqzLy+rPyAsmpnUdpgBeCXwDsiYr/i3N13Aqtq\nNV+pLypOlRjWepvSudMrdlO/Afg58NnMfKg2s5Qk7WN+SmnzO4rrnwBExFspJeLOzczHWyu3iZnO\nAf4tM/9LpUH6d/es91KrKS0tXExpGWjrh4VREbEOuAK4Bbil2OJ4G3BeWaYO4ADg1oiooxT8356Z\n8yKiidJuu78tVu/emZlXd3G+nwDmRsRAShsoXdDF/mouIm6jtINq+XP8OWAQcE/xXD2cmR+jtFPx\n7IhYSWkDqdmZuaxXJr7vOJHSOczLi/OcofTPmpkRMZHS0o21FMsFM3NjRFwPPFIcuyszf17zWUt9\ny5uAHxW/z/oD38vMX0TEWcANlFbI/DwilmTmDOAy4BDg8ohoPb1ietuN8CRJ6ohdfN7+IqXTCi+i\nFKP8XVH9cmAk8LXi71ZT2a7unR975zhJkiRJkqSe43JcSZIkSVLNGIRKkiRJkmrGIFSSJEmSVDMG\noZIkSZKkmjEIlSRJkiTVjEGoJElViIjmiFgSEUsjYnFEnFCUjy2+rquaPtdGxKgq2l0dEe+uZkxJ\nkmrN7wmVJKk6WzJzIkBEzAC+ALyzNyaSmZdXriVJUt9gJlSSpK57A7CxbWFE1EfE7IhYHhF/iIhT\ni/K6iLguIlZExLKI+ESbdoMjYn5EXNymvC4i5hTtlkfEfyvK50TE2RExqcjOLimOZ3H84Ij4RUQs\niohfR8QRRfmHir6WRsQDPfTcSJK0EzOhkiRVZ3BELAHqgQOA09qpcymQmfmOIvC7OyIOAy4AxgIT\nM7MpIt5Y1mYo8H3g25n57Tb9TQTekpkTACKiofxgZi4s6hARXwJ+URy6CfhYZj4REZOBrxXzvRyY\nkZlPt+1LkqSeYhAqSVJ1ypfjTgW+HRET2tQ5CbgBIDMfjYg/A4cB7wa+kZlNxbENZW1+AlybmXPb\nGfNPwN9ExA3Az4G725tYRPxn4BhgekQMBU4AfhARrVUGFdcPAXMi4nbgzg4/ckmSusDluJIkdVFm\n/hYYBYzuhu4eAs6IsoixbJyNwFHAAuBjwLfa1ikC4SuBczKzmdLf+hczc2LZ5W1Ffx8D/jdwILAo\nIkZ2w/wlSdotg1BJkrqoWGpbB6xvc+jXwIeLOocBbwUeA+4BPhoR/Ytj5ctxL6d0fulX2xlnFNAv\nM39IKXg8ps3xBuA24COZ+TxAZr4MPBkRHyrqREQcVdw+ODN/V2xs9DylYFSSpB5lECpJUnUGt24C\nBPwrcF6ReSz3NaBfRCwv6pyfmY2UMphPAcsiYinw923afbLo/9o25W8BFhRjfhf4XJvjZwIHAd8s\nmxuUAuGLirFWFvUAvlRsYLQC+A2wtLNPgiRJnRWZ2dtzkCRJkiTtI8yESpIkSZJqxiBUkiRJklQz\nBqGSJEmSpJoxCJUkSZIk1YxBqCRJkiSpZgxCJUmSJEk1YxAqSZIkSaqZ/w/ZAzrdXesZ0AAAAABJ\nRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10a316550>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tps_read_df = pd.DataFrame({\n",
" 'read': [1026600, 1426700, 3480700, 3742400, 3833600, 3819900, 3821300, 3833800, 3817800], \n",
" 'randread': [1065800, 1957100, 2091800, 3085100, 3498200, 3679900, 3773400, 3789900, 3822400]}, \n",
" index=[4, 8, 16, 32, 64, 128, 256, 512, 1024])\n",
"\n",
"tps_read_df_plot = tps_read_df.plot.line(figsize=(15,7), \n",
" ylim=[926600, 3922400], \n",
" xlim=[4, 1024], \n",
" title='Throughput (KB/s) Raid-0', \n",
" logx=False, \n",
" grid=True, \n",
" xticks=[4, 8, 16, 32, 64, 128, 256, 512, 1024])\n",
"tps_read_df_plot.set_ylabel('Average Throughput (KB/s)')\n",
"tps_read_df_plot.set_xlabel('Block sizes')\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5,17.2,'Block sizes')"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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zat3OsNiXqxUWRow6hsSqTiNGHcNk8YjjiGGVu+yiNq2jZ8XhrMvjL7onWucp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\nF62OxwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10b0c9550>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"disk_utilization_read = pd.DataFrame({\n",
" 'NVMe0n1': [99.77, 99.47, 94.58, 98.34, 98.80, 95.41, 94.46, 96.35, 97.43], \n",
" 'NVMe1n1': [99.79, 99.45, 99.31, 98.97, 98.80, 96.29, 96.17, 97.27, 97.43]}, \n",
" index=[4, 8, 16, 32, 64, 128, 256, 512, 1024])\n",
"\n",
"disk_utilization_read_plot = disk_utilization_read.plot.line(figsize=(15,7), \n",
" ylim=[40, 100], \n",
" xlim=[4, 1024], \n",
" title='Disk utilization (randwrite)', \n",
" logx=False, \n",
" grid=True, \n",
" xticks=[4, 8, 16, 32, 64, 128, 256, 512, 1024])\n",
"disk_utilization_write_plot.set_ylabel('Utilization (%)')\n",
"disk_utilization_write_plot.set_xlabel('Block sizes')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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