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demo.cast
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{"version": 2, "width": 185, "height": 18, "timestamp": 1553070182, "env": {"SHELL": "/bin/zsh", "TERM": "xterm-256color"}}
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[3.203952, "o", "CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS "]
[3.204186, "o", " NAMES\r\n76b124cc7103 zero-reader_web \"python3 ./main.py -…\" 40 minutes ago Up 40 minutes 0.0.0.0:8000->8000/tcp zero-reader_web_1\r\n"]
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[14.891759, "o", " dP dP dP \r\n 88 88 88 \r\n88d888b. .d8888b. d8888P .d8888b. 88d888b. .d8888b. .d8888b. d8888P \r\n88' `88 88ooood8 88 Y8ooooo. 88' `88 88' `88 88' `88 88 \r\n88 88 88. ... 88 88 88 88 88. .88 88. .88 88 \r\ndP dP `88888P' dP `88888P' dP dP `88888P' `88888P' dP \r\n \r\nWelcome to Netshoot! (github.com/nicolaka/netshoot) "]
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[82.785499, "o", "\u001b[39;49m\u001b(B\u001b[m\u001b[H\u001b[2J\u001b[2d \u001b[36m1 \u001b[39m\u001b(B\u001b[0;1m[\u001b[30m\u001b[26X\u001b[2;33H0.0%\u001b[39m]\u001b(B\u001b[m \u001b[36mTasks: \u001b(B\u001b[0;1m\u001b[36m11\u001b(B\u001b[0m\u001b[36m, \u001b(B\u001b[0;1m\u001b[32m83\u001b(B\u001b[0m\u001b[32m thr\u001b[36m; \u001b(B\u001b[0;1m\u001b[32m1\u001b(B\u001b[0m\u001b[36m running\u001b[3;3H2 \u001b[39m\u001b(B\u001b[0;1m[\u001b[30m\u001b[26X\u001b[3;33H0.0%\u001b[39m]\u001b(B\u001b[m \u001b[36mLoad average: \u001b[39m\u001b(B\u001b[0;1m0.12 \u001b[36m0.29 \u001b(B\u001b[0m\u001b[36m0.35 \u001b[4;3H3 \u001b[39m\u001b(B\u001b[0;1m[\u001b[30m\u001b[26X\u001b[4;33H0.0%\u001b[39m]\u001b(B\u001b[m \u001b[36mUptime: \u001b(B\u001b[0;1m\u001b[36m05:46:22\u001b[5;3H\u001b(B\u001b[0m\u001b[36m4 \u001b[39m\u001b(B\u001b[0;1m[\u001b[30m\u001b[26X\u001b[5;33H0.0%\u001b[39m]\u001b[6;3H\u001b(B\u001b[0m\u001b[36mMem\u001b[39m\u001b(B\u001b[0;1m[\u001b(B\u001b[0m\u001b[32m|||||||\u001b[34m||\u001b[33m|||||||||\u001b(B\u001b[0;1m\u001b[30m 427M/1.95G\u001b[39m]\u001b[7;3H\u001b(B\u001b[0m\u001b[36mSwp\u001b[39m\u001b(B\u001b[0;1m[\u001b(B\u001b[0m\u001b[31m|\u001b(B\u001b[0;1m\u001b[30m\u001b[18X\u001b[7;26H5.55M/1024M\u001b[39m]\r\u001b[9d\u001b(B\u001b[0m\u001b[30m\u001b[42m PID USER PRI NI VIRT RES SHR S \u001b[30m\u001b[46mCPU% \u001b[30m\u001b[42mMEM% TIME+ Command \r\u001b[10d\u001b[30m\u001b[46m 1 root 20 0 39704 36424 7024 S 0.0 1.8 0:00.60 python3 ./main.py\u001b[11;4H\u001b[39;49m\u001b(B\u001b[m16 \u001b(B\u001b[0;1m\u001b[30mroot \u001b[39m\u001b(B\u001b[m 20 0 \u001b[36m62\u001b[39m\u001b(B\u001b[m768 \u001b[36m34\u001b[39m\u001b(B\u001b[m992 \u001b[36m 4\u001b[3"]
[82.785697, "o", "9m\u001b(B\u001b[m152 S 0.0 1.7 0:00.00 \u001b[32mpython3 ./main.py\u001b[12;4H\u001b[39m\u001b(B\u001b[m17 \u001b(B\u001b[0;1m\u001b[30mroot \u001b[39m\u001b(B\u001b[m 20 0 \u001b[36m62\u001b[39m\u001b(B\u001b[m768 \u001b[36m34\u001b[39m\u001b(B\u001b[m992 \u001b[36m 4\u001b[39m\u001b(B\u001b[m152 S 0.0 1.7 0:00.00 \u001b[32mpython3 ./main.py\u001b[13;4H\u001b[39m\u001b(B\u001b[m18 \u001b(B\u001b[0;1m\u001b[30mroot \u001b[39m\u001b(B\u001b[m 20 0 \u001b[36m62\u001b[39m\u001b(B\u001b[m768 \u001b[36m34\u001b[39m\u001b(B\u001b[m992 \u001b[36m 4\u001b[39m\u001b(B\u001b[m152 S 0.0 1.7 0:00.00 \u001b[32mpython3 ./main.py\u001b[14;4H\u001b[39m\u001b(B\u001b[m19 \u001b(B\u001b[0;1m\u001b[30mroot \u001b[39m\u001b(B\u001b[m 20 0 \u001b[36m62\u001b[39m\u001b(B\u001b[m768 \u001b[36m34\u001b[39m\u001b(B\u001b[m992 \u001b[36m 4\u001b[39m\u001b(B\u001b[m152 S 0.0 1.7 0:00.00 \u001b[32mpython3 ./main.py\u001b[15;4H\u001b[39m\u001b(B\u001b[m21 \u001b(B\u001b[0;1m\u001b[30mroot \u001b[39m\u001b(B\u001b[m 20 0 \u001b[36m62\u001b[39m\u001b(B\u001b[m768 \u001b[36m34\u001b[39m\u001b(B\u001b[m992 \u001b[36m 4\u001b[39m\u001b(B\u001b[m152 S 0.0 1.7 0:00.00 \u001b[32mpython3 ./main.py\u001b[16;4H\u001b[39m\u001b(B\u001b[m22 \u001b(B\u001b[0;1m\u001b[30mroot \u001b[39m\u001b(B\u001b[m 20 0 \u001b[36m62\u001b[39m\u001b(B\u001b[m768 \u001b[36m34\u001b[39m\u001b(B\u001b[m992 \u001b[36m 4\u001b[39m\u001b(B\u001b[m152 S 0.0 1.7 0:00.00 \u001b[32mpython3 ./main.py\u001b[17;4H\u001b[39m\u001b(B\u001b[m23 \u001b(B\u001b[0;1m\u001b[30mroot \u001b[39m\u001b(B\u001b[m 20 0 \u001b[36m62\u001b[39m\u001b(B\u001b[m768 \u001b[36m34\u001b[39m\u001b(B\u001b[m"]
[82.785824, "o", "992 \u001b[36m 4\u001b[39m\u001b(B\u001b[m152 S 0.0 1.7 0:00.00 \u001b[32mpython3 ./main.py\u001b[18;4H\u001b[39m\u001b(B\u001b[m24 \u001b(B\u001b[0;1m\u001b[30mroot \u001b[39m\u001b(B\u001b[m 20 0 \u001b[36m62\u001b[39m\u001b(B\u001b[m768 \u001b[36m34\u001b[39m\u001b(B\u001b[m992 \u001b[36m 4\u001b[39m\u001b(B\u001b[m152 S 0.0 1.7 0:00.00 \u001b[32mpython3 ./main.py\u001b[H\u001b[39m\u001b(B\u001b[m"]
[82.787996, "o", "\u001b[2;7H\u001b[2;33H\u001b(B\u001b[0;1m\u001b[30m\u001b[52X\u001b[2;85H0.0%\u001b[39m]\u001b(B\u001b[m \u001b[36mTasks: \u001b(B\u001b[0;1m\u001b[36m11\u001b(B\u001b[0m\u001b[36m, \u001b(B\u001b[0;1m\u001b[32m83\u001b(B\u001b[0m\u001b[32m thr\u001b[36m; \u001b(B\u001b[0;1m\u001b[32m1\u001b(B\u001b[0m\u001b[36m running\u001b[3;7H\u001b[3;33H\u001b(B\u001b[0;1m\u001b[30m\u001b[52X\u001b[3;85H0.0%\u001b[39m]\u001b(B\u001b[m \u001b[36mLoad average: \u001b[39m\u001b(B\u001b[0;1m0.12 \u001b[36m0.29 \u001b(B\u001b[0m\u001b[36m0.35 \u001b[4;7H\u001b[4;33H\u001b(B\u001b[0;1m\u001b[30m\u001b[52X\u001b[4;85H0.0%\u001b[39m]\u001b(B\u001b[m \u001b[36mUptime: \u001b(B\u001b[0;1m\u001b[36m05:46:22\u001b[5;7H\u001b[5;33H\u001b[30m\u001b[52X\u001b[5;85H0.0%\u001b[39m]\u001b[6;14H\u001b(B\u001b[0m\u001b[32m|||||||||||\u001b[34m||||\u001b[33m||||||||||||||||||||||||\u001b(B\u001b[0;1m\u001b[30m\u001b[26X\u001b[6;79H427M/1.95G\u001b[39m]\u001b[7;8H\u001b[7;26H\u001b[30m\u001b[52X\u001b[7;78H5.55M/1024M\u001b[39m]\u001b[9;81H\u001b(B\u001b[0m\u001b[30m\u001b[42m\u001b[K\u001b[10d\u001b[30m\u001b[46m -w 1\u001b[K\u001b[11;81H\u001b[39;49m\u001b[32m -w 1 \u001b[12;81H -w 1 \u001b[13;81H -w 1 \u001b[14;81H -w 1 \u001b[15;81H -w 1 \u001b[16;81H -w 1 \u001b[17;81H -w 1 \r\u001b[18d\u001b[39m\u001b(B\u001b[mF1\u001b[30m\u001b[46mHelp \u001b[39;49m\u001b(B\u001b[mF2\u001b[30m\u001b[46mSetup \u001b[39;49m\u001b(B\u001b[mF3\u001b[30m\u001b[46mSearch\u001b[39;49m\u001b(B\u001b[mF4\u001b[30m\u001b[46mFilter\u001b[39;49m\u001b(B\u001b[mF5\u001b[30m\u001b[46mTree \u001b[39;49m\u001b(B\u001b[mF6\u001b[30m\u001b[46mSortBy\u001b[39;49m\u001b(B\u001b[mF7\u001b[30m\u001b[46mNice -\u001b[39;49m\u001b(B\u001b[mF8\u001b[30m\u001b[46mNice +\u001b[39;49m\u001b(B\u001b[mF9\u001b"]
[82.788764, "o", "[30m\u001b[46mKill \u001b[39;49m\u001b(B\u001b[mF10\u001b[30m\u001b[46mQuit\u001b[K\u001b[H\u001b[39;49m\u001b(B\u001b[m"]
[84.178954, "o", "\u001b[4;108H\u001b(B\u001b[0;1m\u001b[36m4\r\u001b[10d\u001b[39m\u001b(B\u001b[m 1 \u001b(B\u001b[0;1m\u001b[30mroot \u001b[39m\u001b(B\u001b[m 20 0 \u001b[36m39\u001b[39m\u001b(B\u001b[m704 \u001b[36m36\u001b[39m\u001b(B\u001b[m424 \u001b[36m 7\u001b[39m\u001b(B\u001b[m024 S 0.0 1.8 0:00.60 python3 ./main.py -w 1\u001b[K\r\u001b[11d\u001b[30m\u001b[46m 16 root 20 0 62768 34992 4152 S 0.0 1.7 0:00.00 python3 ./main.py -w 1\u001b[K\u001b[H\u001b[39;49m\u001b(B\u001b[m"]
[84.454931, "o", "\u001b[3;7H\u001b[32m|\u001b[3;87H\u001b(B\u001b[0;1m\u001b[30m6\r\u001b[11d\u001b[39m\u001b(B\u001b[m 16 \u001b(B\u001b[0;1m\u001b[30mroot \u001b[39m\u001b(B\u001b[m 20 0 \u001b[36m62\u001b[39m\u001b(B\u001b[m768 \u001b[36m34\u001b[39m\u001b(B\u001b[m992 \u001b[36m 4\u001b[39m\u001b(B\u001b[m152 S 0.0 1.7 0:00.00 \u001b[32mpython3 ./main.py -w 1 \u001b[39m\u001b(B\u001b[m\u001b[K\r\u001b[12d\u001b[30m\u001b[46m 17 root 20 0 62768 34992 4152 S 0.0 1.7 0:00.00 python3 ./main.py -w 1\u001b[K\u001b[H\u001b[39;49m\u001b(B\u001b[m"]
[84.658438, "o", "\u001b[12d 17 \u001b(B\u001b[0;1m\u001b[30mroot \u001b[39m\u001b(B\u001b[m 20 0 \u001b[36m62\u001b[39m\u001b(B\u001b[m768 \u001b[36m34\u001b[39m\u001b(B\u001b[m992 \u001b[36m 4\u001b[39m\u001b(B\u001b[m152 S 0.0 1.7 0:00.00 \u001b[32mpython3 ./main.py -w 1 \u001b[39m\u001b(B\u001b[m\u001b[K\r\u001b[13d\u001b[30m\u001b[46m 18 root 20 0 62768 34992 4152 S 0.0 1.7 0:00.00 python3 ./main.py -w 1\u001b[K\u001b[H\u001b[39;49m\u001b(B\u001b[m"]
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