fabiofortkamp

tell application "System Events"
	set numSafari to count (every process whose name is "Safari")
end tell

if numSafari > 0 then
	
	tell application "Safari"
		
		set URLList to {}
		

fabiofortkamp

tell application "System Events"
	set numSafari to count (every process whose name is "Safari")
end tell

if numSafari > 0 then
	
	tell application "Safari"
		
		set URLList to {}
		

fabiofortkamp

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

fabiofortkamp

// don't forget to put the following cell magic,
// if used inside a Jupyter notebook

// %%javascript
IPython.OutputArea.auto_scroll_threshold = 9999;

fabiofortkamp

import matplotlib
import matplotlib.pyplot as plt

mpl_params = {'text.usetex': True,
              'font.family': 'serif',
              'font.serif': 'Palatino',
              'text.latex.preamble': [r'\usepackage{engsymbols}',
                                      r'\usepackage{magref}',
                                      r'\usepackage{siunitx}']}
matplotlib.rcParams.update(mpl_params)

fabiofortkamp

function closeapp() {
  osascript -e "quit app \"$1\""
}

fabiofortkamp

; This script closes the window name passed as argument, e.g.
; AutoHotkey.exe closewindow.ahk "Visual Studio Code"

; To match strings anywhere in the window title
SetTitleMatchMode 2

If (WinExist(A_Args[1]))
   WinClose

fabiofortkamp

cd $HOME/latex-writing/paper-magnetic-profiles/

# sync repo
git pull origin master

# open Visual Studio Code to edit and run scripts
code -n .

# Sourcetree is a Git client
SourceTree.exe

fabiofortkamp

# Sincroniza de volta mudanças feitas
git push origin
 
# ver explicações abaixo para esses comandos
cf PaperMagneticProfiles_JBSMSE.tex
 
closew "paper-magnetic-profiles - Visual Studio Code"
closew "Sourcetree"
closew "Outline_Paper_Profiles"

fabiofortkamp

import numpy as np

# example input parameters

phi_S_IV = 50 

# how much each segment occupies of the whole magnet region
fractions_phi = np.array([20,20,20,20,20])
assert sum(fractions_phi) == 100