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")