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import numpy as np | |
from collections import defaultdict | |
from typing import List, Tuple | |
from math import sqrt, pow | |
I = 1000 # Infinity |
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/** | |
* Creates a flareplot svg in the container matched by the `containerSelector`, sets its width to `width` pixels, | |
* and associates it with the contents of `json` | |
* @param width | |
* @param inputGraph | |
* @param containerSelector | |
* @returns {{getNumFrames, setFrame, framesIntersect, framesSum, setTrack, setTree, getTreeNames, getTrackNames, addNodeToggleListener, addNodeHoverListener, addEdgeToggleListener, addEdgeHoverListener, graph}} | |
*/ | |
function createFlareplot(width, inputGraph, containerSelector){ |
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""" | |
Monitors a process using the `ps` command and records total CPU-time and maximum memory usage. | |
Example usage: | |
./runMyCommand & | |
sysusg.py runMyCommand | |
""" | |
import subprocess | |
import sys | |
import time |
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from multiprocessing import Process, Queue | |
def square_producer(inputqueue, resultqueue): | |
""" | |
A producer that pops numbers off the inputqueue, squares them and puts the result on resultqueue | |
""" | |
while True: | |
num = inputqueue.get() | |
if num is None: |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8" /> | |
<title>Document</title> | |
<style> | |
* { | |
box-sizing: border-box; | |
} | |
td, th{ |
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/** | |
* Creates a tree and track selector for `flareplot` within `container`. | |
* | |
* If there are more than one tree in the graph a div will be added containing | |
* radio buttons to switch between them. If the graph has more than one track | |
* they'll be added in a div after. If there is only one tree and one track the | |
* container will be left untouched. The resulting layout will look as follows: | |
* <code> | |
* <div id="container"> |
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{ | |
"embeddings": [ | |
{ | |
"tensorName": "My tensor", | |
"tensorShape": [ | |
1000, | |
50 | |
], | |
"tensorPath": "https://gist.githubusercontent.com/RasmusFonseca/b4ca7261eab30d65b3376d2af2ca46ed/raw/610b1e1ef87464769277888f192f7eb60e6dabb3/allmoments.tsv", | |
"metadataPath": "https://gist.githubusercontent.com/RasmusFonseca/726d1b5508ec47c10d90641d71e3c7f2/raw/75788561e40b4ade4fc6981223b252cb545dbaa0/momentmetadata.tsv" |
We can make this file beautiful and searchable if this error is corrected: No tabs found in this TSV file in line 0.
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100D | |
101D | |
102D | |
103D | |
104D | |
109D | |
10MH | |
111D | |
112D | |
113D |
We can make this file beautiful and searchable if this error is corrected: It looks like row 5 should actually have 30 columns, instead of 27 in line 4.
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1.0000 1.3360 1.5382 1.6889 1.8106 1.9127 2.0003 2.0765 2.1437 2.2033 2.2568 2.3049 2.3486 2.3885 2.4249 2.4585 2.4895 2.5181 2.5448 2.5697 2.5929 2.6147 2.6352 2.6544 2.6726 2.6898 2.7061 2.7215 2.7362 2.7501 | |
1.0000 1.3915 1.6346 1.8079 1.9395 2.0436 2.1287 2.2000 2.2611 2.3142 2.3612 2.4032 2.4412 2.4758 2.5076 2.5371 2.5645 2.5901 2.6142 2.6369 2.6584 2.6787 2.6979 2.7163 2.7337 2.7503 2.7661 2.7812 2.7956 2.8094 | |
1.0000 1.3886 1.6307 1.8047 1.9379 2.0441 2.1312 2.2042 2.2667 2.3208 2.3683 2.4106 2.4485 2.4827 2.5140 2.5427 2.5693 2.5940 2.6171 2.6388 2.6593 2.6787 2.6971 2.7147 2.7314 2.7475 2.7628 2.7775 2.7917 2.8053 | |
1.0000 1.4091 1.6618 1.8415 1.9783 2.0868 2.1758 2.2504 2.3143 2.3697 2.4186 2.4621 2.5012 2.5367 2.5692 2.5990 2.6266 2.6524 2.6764 2.6989 2.7201 2.7402 2.7591 2.7772 2.7943 2.8106 2.8261 2.8410 2.8552 2.8688 | |
1.0000 1.3511 1.5648 1.7225 1.8484 1.9535 2.0435 2.1219 2.1910 2.2523 2.3071 2.3564 2.4008 2.4411 2.4778 2.5113 2.5421 2.5705 2.5966 2.6209 2.6435 2.6645 2.6841 2.7025 2.7198 2.7360 2. |
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import numpy as np | |
import sys | |
# Amino acid substitution matrix | |
blosum62 ={ | |
"C":[9,-1,-1,-3,0,-3,-3,-3,-4,-3,-3,-3,-3,-1,-1,-1,-1,-2,-2,-2], | |
"S":[-1,4,1,-1,1,0,1,0,0,0,-1,-1,0,-1,-2,-2,-2,-2,-2,-3], | |
"T":[-1,1,4,1,-1,1,0,1,0,0,0,-1,0,-1,-2,-2,-2,-2,-2,-3], | |
"P":[-3,-1,1,7,-1,-2,-1,-1,-1,-1,-2,-2,-1,-2,-3,-3,-2,-4,-3,-4], | |
"A":[0,1,-1,-1,4,0,-1,-2,-1,-1,-2,-1,-1,-1,-1,-1,-2,-2,-2,-3], |