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javascript: (() => { | |
if (location.href=="https://trojancheck.usc.edu/login"){ | |
document.querySelector('[aria-label="Log in with your USC NetID"]').click(); | |
} | |
else if (location.href=="https://trojancheck.usc.edu/consent"){ | |
document.querySelector('.submit-button').click(); | |
} | |
else if (location.href=="https://trojancheck.usc.edu/dashboard"){ | |
document.querySelector('.btn-begin-assessment').click(); | |
} |
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from matplotlib import pyplot as plt | |
from matplotlib.collections import PolyCollection | |
import numpy as np | |
# Graph Auxilary | |
''' | |
Graph_runsteps_3D super positions different running step signals and show them on the same | |
timeline. Each signal has a different color and provide a general view of the signals. | |
mtx_time: time of a signal. (optional) If black, plot them by samples. Dimention should be the same as mtx_signal | |
mtx_signal: array of signals. Each run step is represented by a array of values (signal). The mtx layout is run-step X signal. |
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