code: def sample(self):
          
          lenghts = []
          angles = []
          coordinates = []
          fix = []
          sample_size = int(round(self.trajLen_borders[self.drawFrom('self.trajLen_cumsum', self.getrand('self.trajLen_cumsum'))]))
  
          coordinates.append([0, 0])
          fix.append(1)
          
          while len(coordinates) < sample_size:
              if len(lenghts) == 0 and len(angles) == 0:          
                  angle, length = self._draw(self)
              else:
                  angle, length = self._draw(prev_angle = angles[-1], 
                                              prev_length = lenghts[-1])  
                          
              x, y = self._calc_xy(coordinates[-1], angle, length) 
              
              coordinates.append([x, y])
              lenghts.append(length) 
              angles.append(angle)
              fix.append(fix[-1]+1)
          return coordinates
docs: Draws a trajectory length, first coordinates, lengths, angles and 
          length-angle-difference pairs according to the empirical distribution. 
          Each call creates one complete trajectory.