adjusted both delays again

systemtests/plotter_class.py

@@ -25,8 +25,8 @@ def __init__(self, sim_backend = False):
  self.SIM = sim_backend #indicates if we are plotting data from real life test or from a simulated test. Default is false (real life test)
  self.EPSILON = 0.1 # euclidian distance in [m] between ideal and recorded trajectory under which the drone has to stay to pass the test (NB : epsilon is doubled for multi_trajectory test)
  self.ALLOWED_DEV_POINTS = 0.05 #allowed percentage of datapoints whose deviation > EPSILON while still passing test (currently % for fig8 and 10% for mt)
- self.DELAY_CONST_FIG8 = 1.5 #4.75 #this is the delay constant which I found by adding up all the time.sleep() etc in the figure8.py file. 
- self.DELAY_CONST_MT = 6
+ self.DELAY_CONST_FIG8 = 1.4 #4.75 #this is the delay constant which I found by adding up all the time.sleep() etc in the figure8.py file. 
+ self.DELAY_CONST_MT = 0
  if self.SIM : #It allows to temporally adjust the ideal and real trajectories on the graph. Could this be implemented in a better (not hardcoded) way ?
  self.DELAY_CONST_FIG8 = -0.18 #for an unknown reason, the delay constant with the sim_backend is different
  self.ALTITUDE_CONST_FIG8 = 1 #this is the altitude given for the takeoff in figure8.py. I should find a better solution than a symbolic constant ?
@@ -87,7 +87,8 @@ def read_csv_and_set_arrays(self, ideal_csvfile, rosbag_csvfile):
  delay = 0
  if self.test_name == "fig8":
  delay = self.DELAY_CONST_FIG8
- elif self.test_name == "m_t":
+ print("FIG8 DELAY ACTIVATED")
+ elif self.test_name == "mt":
  delay = self.DELAY_CONST_MT
  print("MT DELAY ACTIVATED")