results table
This commit is contained in:
Jelena Dokic
commit
d5ad63e541
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/output
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[[source]]
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name = "pypi"
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url = "https://pypi.org/simple"
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verify_ssl = true
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[dev-packages]
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[packages]
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plotly = "*"
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numpy = "*"
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scipy = "*"
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[requires]
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python_version = "3.8"
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@ -0,0 +1,96 @@
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{
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"_meta": {
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"hash": {
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"sha256": "53ce4f271567869b3767a555f892d785cfc0ea880bc53ac577429707beff9a26"
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},
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"pipfile-spec": 6,
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"requires": {
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"python_version": "3.8"
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},
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"sources": [
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{
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"name": "pypi",
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"url": "https://pypi.org/simple",
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"verify_ssl": true
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}
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]
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},
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"default": {
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"numpy": {
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"hashes": [
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"sha256:1786a08236f2c92ae0e70423c45e1e62788ed33028f94ca99c4df03f5be6b3c6",
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"sha256:17aa7a81fe7599a10f2b7d95856dc5cf84a4eefa45bc96123cbbc3ebc568994e",
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"sha256:20b26aaa5b3da029942cdcce719b363dbe58696ad182aff0e5dcb1687ec946dc",
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"sha256:2d75908ab3ced4223ccba595b48e538afa5ecc37405923d1fea6906d7c3a50bc",
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"sha256:39d2c685af15d3ce682c99ce5925cc66efc824652e10990d2462dfe9b8918c6a",
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"sha256:56bc8ded6fcd9adea90f65377438f9fea8c05fcf7c5ba766bef258d0da1554aa",
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"sha256:590355aeade1a2eaba17617c19edccb7db8d78760175256e3cf94590a1a964f3",
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"sha256:70a840a26f4e61defa7bdf811d7498a284ced303dfbc35acb7be12a39b2aa121",
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"sha256:77c3bfe65d8560487052ad55c6998a04b654c2fbc36d546aef2b2e511e760971",
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"sha256:9537eecf179f566fd1c160a2e912ca0b8e02d773af0a7a1120ad4f7507cd0d26",
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"sha256:9acdf933c1fd263c513a2df3dceecea6f3ff4419d80bf238510976bf9bcb26cd",
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"sha256:ae0975f42ab1f28364dcda3dde3cf6c1ddab3e1d4b2909da0cb0191fa9ca0480",
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"sha256:b3af02ecc999c8003e538e60c89a2b37646b39b688d4e44d7373e11c2debabec",
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"sha256:b6ff59cee96b454516e47e7721098e6ceebef435e3e21ac2d6c3b8b02628eb77",
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"sha256:b765ed3930b92812aa698a455847141869ef755a87e099fddd4ccf9d81fffb57",
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"sha256:c98c5ffd7d41611407a1103ae11c8b634ad6a43606eca3e2a5a269e5d6e8eb07",
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"sha256:cf7eb6b1025d3e169989416b1adcd676624c2dbed9e3bcb7137f51bfc8cc2572",
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"sha256:d92350c22b150c1cae7ebb0ee8b5670cc84848f6359cf6b5d8f86617098a9b73",
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"sha256:e422c3152921cece8b6a2fb6b0b4d73b6579bd20ae075e7d15143e711f3ca2ca",
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"sha256:e840f552a509e3380b0f0ec977e8124d0dc34dc0e68289ca28f4d7c1d0d79474",
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"sha256:f3d0a94ad151870978fb93538e95411c83899c9dc63e6fb65542f769568ecfa5"
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],
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"index": "pypi",
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"version": "==1.18.1"
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},
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"plotly": {
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"hashes": [
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"sha256:a19ed783bcf094e6207b3699ab261465bf3c7d299403678801de634bf17e2559",
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"sha256:bb5271f648913cf330a0de4ede3084cda848f8ad8b080330a0678e1b21df97b0"
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],
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"index": "pypi",
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"version": "==4.5.0"
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},
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"retrying": {
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"hashes": [
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"sha256:08c039560a6da2fe4f2c426d0766e284d3b736e355f8dd24b37367b0bb41973b"
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],
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"version": "==1.3.3"
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},
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"scipy": {
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"hashes": [
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"sha256:00af72998a46c25bdb5824d2b729e7dabec0c765f9deb0b504f928591f5ff9d4",
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"sha256:0902a620a381f101e184a958459b36d3ee50f5effd186db76e131cbefcbb96f7",
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"sha256:1e3190466d669d658233e8a583b854f6386dd62d655539b77b3fa25bfb2abb70",
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"sha256:2cce3f9847a1a51019e8c5b47620da93950e58ebc611f13e0d11f4980ca5fecb",
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"sha256:3092857f36b690a321a662fe5496cb816a7f4eecd875e1d36793d92d3f884073",
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"sha256:386086e2972ed2db17cebf88610aab7d7f6e2c0ca30042dc9a89cf18dcc363fa",
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"sha256:71eb180f22c49066f25d6df16f8709f215723317cc951d99e54dc88020ea57be",
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"sha256:770254a280d741dd3436919d47e35712fb081a6ff8bafc0f319382b954b77802",
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"sha256:787cc50cab3020a865640aba3485e9fbd161d4d3b0d03a967df1a2881320512d",
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"sha256:8a07760d5c7f3a92e440ad3aedcc98891e915ce857664282ae3c0220f3301eb6",
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"sha256:8d3bc3993b8e4be7eade6dcc6fd59a412d96d3a33fa42b0fa45dc9e24495ede9",
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"sha256:9508a7c628a165c2c835f2497837bf6ac80eb25291055f56c129df3c943cbaf8",
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"sha256:a144811318853a23d32a07bc7fd5561ff0cac5da643d96ed94a4ffe967d89672",
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"sha256:a1aae70d52d0b074d8121333bc807a485f9f1e6a69742010b33780df2e60cfe0",
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"sha256:a2d6df9eb074af7f08866598e4ef068a2b310d98f87dc23bd1b90ec7bdcec802",
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"sha256:bb517872058a1f087c4528e7429b4a44533a902644987e7b2fe35ecc223bc408",
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"sha256:c5cac0c0387272ee0e789e94a570ac51deb01c796b37fb2aad1fb13f85e2f97d",
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"sha256:cc971a82ea1170e677443108703a2ec9ff0f70752258d0e9f5433d00dda01f59",
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"sha256:dba8306f6da99e37ea08c08fef6e274b5bf8567bb094d1dbe86a20e532aca088",
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"sha256:dc60bb302f48acf6da8ca4444cfa17d52c63c5415302a9ee77b3b21618090521",
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"sha256:dee1bbf3a6c8f73b6b218cb28eed8dd13347ea2f87d572ce19b289d6fd3fbc59"
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],
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"index": "pypi",
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"version": "==1.4.1"
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},
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"six": {
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"hashes": [
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"sha256:236bdbdce46e6e6a3d61a337c0f8b763ca1e8717c03b369e87a7ec7ce1319c0a",
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"sha256:8f3cd2e254d8f793e7f3d6d9df77b92252b52637291d0f0da013c76ea2724b6c"
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],
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"version": "==1.14.0"
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}
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},
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"develop": {}
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}
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from os import listdir
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import numpy as np
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import plotly.graph_objects as go
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from scipy.interpolate import interp1d
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thread = []
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fork = []
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read = []
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write = []
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mmap_munmap = []
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send = []
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recv = []
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page_fault = []
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filenames = []
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for filename in listdir('output'):
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filenames.append(filename)
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with open('output/' + filename) as f:
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content = f.readlines()
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new_dict = dict()
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for line in content[1:]:
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new_dict[line.split(',')[0]] = int(line.split(',')[2])
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thread.append(new_dict['thread'])
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fork.append(new_dict['fork'])
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read.append(new_dict['read'])
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write.append(new_dict['write'])
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mmap_munmap.append(new_dict['mmap_munmap'])
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send.append(new_dict['send'])
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recv.append(new_dict['recv'])
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page_fault.append(new_dict['page_fault'])
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headerColor = 'grey'
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rowEvenColor = 'lightgrey'
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rowOddColor = 'white'
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colors = [
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'rgb(0, 255, 0)', 'rgb(225, 255, 77)', 'rgb(212, 255, 77)',
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'rgb(255, 255, 51)', 'rgb(255, 255, 0)', 'rgb(212, 255, 0)',
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'rgb(255, 221, 51)', 'rgb(255, 102, 25)', 'rgb(255, 42, 0)'
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]
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threadcolorfilter = interp1d([min(thread), max(thread)], [0, 8])
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threadcolor = [int(threadcolorfilter(x)) for x in thread]
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forkcolorfilter = interp1d([min(fork), max(fork)], [0, 8])
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forkcolor = [int(forkcolorfilter(x)) for x in fork]
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readcolorfilter = interp1d([min(read), max(read)], [0, 8])
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readcolor = [int(readcolorfilter(x)) for x in read]
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writecolorfilter = interp1d([min(write), max(write)], [0, 8])
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writecolor = [int(writecolorfilter(x)) for x in write]
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mmap_munmapcolorfilter = interp1d([min(mmap_munmap), max(mmap_munmap)], [0, 8])
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mmap_munmapcolor = [int(mmap_munmapcolorfilter(x)) for x in mmap_munmap]
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sendcolorfilter = interp1d([min(send), max(send)], [0, 8])
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sendcolor = [int(sendcolorfilter(x)) for x in send]
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recvcolorfilter = interp1d([min(recv), max(recv)], [0, 8])
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recvcolor = [int(recvcolorfilter(x)) for x in recv]
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page_faultcolorfilter = interp1d([min(page_fault), max(page_fault)], [0, 8])
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page_faultcolor = [int(page_faultcolorfilter(x)) for x in page_fault]
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fig = go.Figure(
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data=[go.Table(
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columnorder=[1, 2, 3, 4, 5, 6, 7, 8, 9],
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columnwidth=[10, 4, 4, 4, 4, 4, 4, 4, 4],
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header=dict(
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values=[
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"filenames",
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"thread",
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"fork",
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"read",
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"write",
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"mmap_munmap",
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"send",
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"recv",
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"page_fault"
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],
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line_color='darkslategray',
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fill_color=headerColor,
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align=['left', 'center'],
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font=dict(color='white', size=13)
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),
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cells=dict(
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values=[
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filenames,
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thread,
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fork,
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read,
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write,
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mmap_munmap,
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send,
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recv,
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page_fault,
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],
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line_color='darkslategray',
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fill_color=[
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rowOddColor,
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np.array(colors)[threadcolor],
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np.array(colors)[forkcolor],
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np.array(colors)[readcolor],
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np.array(colors)[writecolor],
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np.array(colors)[mmap_munmapcolor],
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np.array(colors)[sendcolor],
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np.array(colors)[recvcolor],
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np.array(colors)[page_faultcolor],
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],
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align=['left', 'center'],
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font=dict(color='darkslategray', size=13)
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)
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)]
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)
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fig.show()
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