def calculate_next_step(cls, current_step, start_value, change_in_value,
number_of_steps):
progress = LinearEase().calculate_next_step(current_step, start_value,
change_in_value,
number_of_steps)
quintic = SinusoidalEase().calculate_next_step(current_step,
start_value,
change_in_value,
number_of_steps)
bounce = BounceEaseOut().calculate_next_step(current_step, start_value,
change_in_value,
number_of_steps)
if progress > 0.2 and abs(quintic -
bounce) < 0.1: # This is very dangerous
return bounce
else:
return quintic
def move_first(self):
motor = self.robot.m5
controller = EasingController(motor, LinearEase(), 5000)
controller.goal = -50
for move in controller:
motor.goal_position = move
time.sleep(0.0002)
else:
print("Move done")
controller.goal = -70
time.sleep(2)
for move in controller:
motor.goal_position = move
time.sleep(0.0002)
else:
print("Move done")
self.robot.stop_sync()
def calculate_next_step(cls, current_step, start_value, change_in_value,
number_of_steps):
position = LinearEase.calculate_next_step(current_step, start_value,
change_in_value,
number_of_steps)
return pytweening.easeInOutElastic(position)
def calculate_next_step(self, current_step, start_value, change_in_value,
number_of_steps):
position = LinearEase.calculate_next_step(current_step, start_value,
change_in_value,
number_of_steps)
return pytweening.easeOutCirc(position)
def calculate_next_step(cls, current_step, start_value, change_in_value,
number_of_steps):
position = LinearEase.calculate_next_step(current_step, start_value,
change_in_value,
number_of_steps)
return cls.bounce_ease_in_out(position)