Ajout du chemin vers weight-cli pour pouvoir lancer le soft depuis partout
This commit is contained in:
Guyot
parent
77dfe1b76a
commit
3b241c9891
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@ -16,5 +16,5 @@ set xtics nomirror
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set xrange [*:*]
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set datafile separator '|'
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f(x) = 86.41099999999999
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plot 'data.csv' using 3:1 w dots title '', f(x) lc 'red' w dots title 'bmi max'
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plot '/home/guyotv/Documents/Echange/weight-cli/data_perso.csv' using 3:1 w dots title '', f(x) lc 'red' w dots title 'bmi max'
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#pause -1 'En attente de RETURN'
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@ -29,9 +29,15 @@ from subprocess import Popen, PIPE
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import numpy as np
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import gettext
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#gettext.bindtextdomain('base', 'locale/en/LC_MESSAGES/base.mo')
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#gettext.bindtextdomain('base', '.')
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#gettext.textdomain('base')
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gettext.find('base')
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# Voir : https://docs.python.org/fr/3/library/gettext.html
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en = gettext.translation('base', localedir='locale/', languages=['en'])
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origindir = os.path.dirname(os.path.abspath(__file__))
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localedir = os.path.dirname(os.path.abspath(__file__))+"/locale/"
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#print(localedir)
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en = gettext.translation('base', localedir=localedir, languages=['en'])
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#en = gettext.translation('base', localedir='locale', languages=['en'])
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en.install()
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_ = en.gettext # english
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# fr = gettext.translation('base', localedir='locale/', languages=['fr'])
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@ -67,16 +73,16 @@ weight-cli --help or weight-cli -h
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def save_file_data():
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""" Saving the data file name """
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f = open("Fonctionnel.txt", "r")
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f = open(origindir+"/Fonctionnel.txt", "r")
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contents = f.readlines()
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f.close()
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linenum = 0
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for row in contents:
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if row.split(' ',1)[0] == 'plot':
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contents.insert(linenum, "plot '"+args.data+"' using 3:1 w dots title '', f(x) lc 'red' w dots title 'bmi max'\n")
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contents.insert(linenum, "plot '"+origindir+'/'+str(args.data)+"' using 3:1 w dots title '', f(x) lc 'red' w dots title 'bmi max'\n")
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del(contents[linenum+1])
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linenum += 1
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f = open("Fonctionnel.txt", "w")
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f = open(origindir+"/Fonctionnel.txt", "w")
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contents = "".join(contents)
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f.write(contents)
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f.close()
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@ -92,7 +98,7 @@ def save_mesure():
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puts("-the identifier : {ide}".format(ide=args.id))
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puts("-your comment : {comment}".format(comment=args.comment))
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puts("-other : {other}".format(other=args.other))
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with open(str(args.data), 'a', newline='\n') as csvfile:
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with open(origindir+'/'+str(args.data), 'a', newline='\n') as csvfile:
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weightwriter = csv.writer(csvfile, delimiter='|', quotechar='"', quoting=csv.QUOTE_MINIMAL)
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weightwriter.writerow([str(args.weight), \
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str(args.type), \
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@ -103,7 +109,7 @@ def save_mesure():
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def read_measures():
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""" Display of all measures """
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data_file = open(str(args.data), 'r')
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data_file = open(origindir+'/'+str(args.data), 'r')
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data = csv.reader(data_file, delimiter='|')
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linenum = 0
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for row in data:
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@ -121,33 +127,33 @@ def read_measures():
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def remove_measure():
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""" Remove a measure """
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f = open(args.data, "r")
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f = open(origindir+'/'+str(args.data), "r")
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contents = f.readlines()
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f.close()
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# remove the line item from list, by line number, starts from 0
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store_temp = str(args.remove)+' '+contents[args.remove]
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g = open('remove.txt', "w")
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g = open(origindir+'/remove.txt', "w")
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g.write(str(store_temp))
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g.close()
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contents.pop(args.remove)
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f = open(args.data, "w")
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f = open(origindir+'/'+str(args.data), "w")
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contents = "".join(contents)
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f.write(contents)
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f.close()
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def undo_remove():
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""" Undo remove the last line removed """
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f = open(args.data, "r")
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f = open(origindir+'/'+str(args.data), "r")
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contents = f.readlines()
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f.close()
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g = open('remove.txt', 'r')
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g = open(origindir+'/remove.txt', 'r')
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store_temp = g.readline().split(' ',1)
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g.close()
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# insert the line item from list, by its line number
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contents.insert(int(store_temp[0]), store_temp[1])
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f = open(args.data, "w")
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f = open(origindir+'/'+str(args.data), "w")
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contents = "".join(contents)
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f.write(contents)
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f.close()
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@ -157,7 +163,7 @@ def plot_graph():
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if args.dates != None:
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print(args.dates)
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# set xrange [*:*]
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f = open("Fonctionnel.txt", "r")
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f = open(origindir+"/Fonctionnel.txt", "r")
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contents = f.readlines()
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f.close()
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linenum = 0
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@ -173,12 +179,12 @@ def plot_graph():
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contents.insert(linenum, ligne)
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del(contents[linenum+1])
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linenum += 1
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f = open("Fonctionnel.txt", "w")
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f = open(origindir+"/Fonctionnel.txt", "w")
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contents = "".join(contents)
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f.write(contents)
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f.close()
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else:
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f = open("Fonctionnel.txt", "r")
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f = open(origindir+"/Fonctionnel.txt", "r")
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contents = f.readlines()
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f.close()
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linenum = 0
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@ -188,23 +194,23 @@ def plot_graph():
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contents.insert(linenum, "set xrange [*:*]\n")
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del(contents[linenum+1])
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linenum += 1
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f = open("Fonctionnel.txt", "w")
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f = open(origindir+"/Fonctionnel.txt", "w")
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contents = "".join(contents)
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f.write(contents)
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f.close()
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#process = Popen(['gnuplot', 'Fonctionnel.txt'], stdout=PIPE, stderr=PIPE)
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process = Popen(['gnuplot', 'Fonctionnel.txt'])#, stdout=PIPE, stderr=PIPE)
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process = Popen(['gnuplot', origindir+'/Fonctionnel.txt'])#, stdout=PIPE, stderr=PIPE)
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stdout, stderr = process.communicate()
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#print(stdout)
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def save_size():
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print(bmi_weight_max())
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""" Store the size """
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f = open('personal.txt', "w")
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f = open(origindir+'/personal.txt', "w")
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f.write(str(args.size))
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f.close()
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f = open("Fonctionnel.txt", "r")
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f = open(origindir+"/Fonctionnel.txt", "r")
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contents = f.readlines()
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f.close()
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linenum = 0
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@ -214,20 +220,20 @@ def save_size():
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contents.insert(linenum, "f(x) = "+str(bmi_weight_max())+"\n")
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del(contents[linenum+1])
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linenum += 1
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f = open("Fonctionnel.txt", "w")
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f = open(origindir+"/Fonctionnel.txt", "w")
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contents = "".join(contents)
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f.write(contents)
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f.close()
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def tests_subproc():
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""" Test of the subprocess module """
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process = Popen(['cat', 'data2.csv'], stdout=PIPE, stderr=PIPE)
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process = Popen(['cat', origindir+'/data2.csv'], stdout=PIPE, stderr=PIPE)
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stdout, stderr = process.communicate()
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print(stdout)
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def bmi(the_weight):
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""" Return the BMI for a given size """
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f = open('personal.txt', "r")
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f = open(origindir+'/personal.txt', "r")
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the_size = float(f.read())
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f.close()
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bmi = the_weight / pow(the_size, 2)
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@ -235,7 +241,7 @@ def bmi(the_weight):
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def bmi_weight_max():
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""" Return the weight for BMI max """
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f = open('personal.txt', "r")
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f = open(origindir+'/personal.txt', "r")
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the_size = float(f.read())
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f.close()
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weight_max = 29.9 * pow(the_size, 2)
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@ -253,7 +259,7 @@ texte = _('A script to manage your weight in command line.')
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parser.description=texte
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# Creating arguments
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parser.add_argument('-da', '--data',
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default='data.csv',
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default=origindir+'/data.csv',
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help=_('optional : file data')
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)
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parser.add_argument('-s', '--size',
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