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								from cereal import car
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								from common.numpy_fast import clip, interp
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								from common.realtime import DT_CTRL
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								from selfdrive.controls.lib.drive_helpers import CONTROL_N
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								from selfdrive.controls.lib.pid import PIDController
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								from selfdrive.modeld.constants import T_IDXS
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								LongCtrlState = car.CarControl.Actuators.LongControlState
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								# As per ISO 15622:2018 for all speeds
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								ACCEL_MIN_ISO = -3.5  # m/s^2
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								ACCEL_MAX_ISO = 2.0  # m/s^2
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								def apply_deadzone(error, deadzone):
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								  if error > deadzone:
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								    error -= deadzone
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								  elif error < - deadzone:
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								    error += deadzone
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								  else:
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								    error = 0.
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								  return error
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								def long_control_state_trans(CP, active, long_control_state, v_ego, v_target,
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								                             v_target_future, brake_pressed, cruise_standstill):
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								  """Update longitudinal control state machine"""
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								  accelerating = v_target_future > v_target
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								  stopping_condition = (v_ego < 2.0 and cruise_standstill) or \
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								                       (v_ego < CP.vEgoStopping and
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								                        ((v_target_future < CP.vEgoStopping and not accelerating) or brake_pressed))
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								  starting_condition = v_target_future > CP.vEgoStarting and accelerating and not cruise_standstill
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								  if not active:
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								    long_control_state = LongCtrlState.off
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								  else:
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								    if long_control_state == LongCtrlState.off:
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								      long_control_state = LongCtrlState.pid
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								    elif long_control_state == LongCtrlState.pid:
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								      if stopping_condition:
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								        long_control_state = LongCtrlState.stopping
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								    elif long_control_state == LongCtrlState.stopping:
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								      if starting_condition:
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								        long_control_state = LongCtrlState.pid
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								  return long_control_state
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								class LongControl:
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								  def __init__(self, CP):
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								    self.CP = CP
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								    self.long_control_state = LongCtrlState.off  # initialized to off
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								    self.pid = PIDController((CP.longitudinalTuning.kpBP, CP.longitudinalTuning.kpV),
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								                             (CP.longitudinalTuning.kiBP, CP.longitudinalTuning.kiV),
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								                             k_f=CP.longitudinalTuning.kf, rate=1 / DT_CTRL)
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								    self.v_pid = 0.0
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								    self.last_output_accel = 0.0
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								  def reset(self, v_pid):
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								    """Reset PID controller and change setpoint"""
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								    self.pid.reset()
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								    self.v_pid = v_pid
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								  def update(self, active, CS, long_plan, accel_limits, t_since_plan):
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								    """Update longitudinal control. This updates the state machine and runs a PID loop"""
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								    # Interp control trajectory
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								    speeds = long_plan.speeds
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								    if len(speeds) == CONTROL_N:
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								      v_target = interp(t_since_plan, T_IDXS[:CONTROL_N], speeds)
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								      a_target = interp(t_since_plan, T_IDXS[:CONTROL_N], long_plan.accels)
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								      v_target_lower = interp(self.CP.longitudinalActuatorDelayLowerBound + t_since_plan, T_IDXS[:CONTROL_N], speeds)
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								      a_target_lower = 2 * (v_target_lower - v_target) / self.CP.longitudinalActuatorDelayLowerBound - a_target
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								      v_target_upper = interp(self.CP.longitudinalActuatorDelayUpperBound + t_since_plan, T_IDXS[:CONTROL_N], speeds)
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								      a_target_upper = 2 * (v_target_upper - v_target) / self.CP.longitudinalActuatorDelayUpperBound - a_target
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								      a_target = min(a_target_lower, a_target_upper)
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								      v_target_future = speeds[-1]
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								    else:
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								      v_target = 0.0
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								      v_target_future = 0.0
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								      a_target = 0.0
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								    # TODO: This check is not complete and needs to be enforced by MPC
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								    a_target = clip(a_target, ACCEL_MIN_ISO, ACCEL_MAX_ISO)
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								    self.pid.neg_limit = accel_limits[0]
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								    self.pid.pos_limit = accel_limits[1]
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								    # Update state machine
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								    output_accel = self.last_output_accel
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								    self.long_control_state = long_control_state_trans(self.CP, active, self.long_control_state, CS.vEgo,
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								                                                       v_target, v_target_future, CS.brakePressed,
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								                                                       CS.cruiseState.standstill)
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								    if self.long_control_state == LongCtrlState.off:
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								      self.reset(CS.vEgo)
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								      output_accel = 0.
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								    # tracking objects and driving
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								    elif self.long_control_state == LongCtrlState.pid:
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								      self.v_pid = v_target
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								      # Toyota starts braking more when it thinks you want to stop
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								      # Freeze the integrator so we don't accelerate to compensate, and don't allow positive acceleration
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								      prevent_overshoot = not self.CP.stoppingControl and CS.vEgo < 1.5 and v_target_future < 0.7 and v_target_future < self.v_pid
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								      deadzone = interp(CS.vEgo, self.CP.longitudinalTuning.deadzoneBP, self.CP.longitudinalTuning.deadzoneV)
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								      freeze_integrator = prevent_overshoot
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								      error = self.v_pid - CS.vEgo
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								      error_deadzone = apply_deadzone(error, deadzone)
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								      output_accel = self.pid.update(error_deadzone, speed=CS.vEgo, feedforward=a_target, freeze_integrator=freeze_integrator)
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								      if prevent_overshoot:
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								        output_accel = min(output_accel, 0.0)
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								    # Intention is to stop, switch to a different brake control until we stop
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								    elif self.long_control_state == LongCtrlState.stopping:
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								      # Keep applying brakes until the car is stopped
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								      if not CS.standstill or output_accel > self.CP.stopAccel:
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								        output_accel -= self.CP.stoppingDecelRate * DT_CTRL
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								      output_accel = clip(output_accel, accel_limits[0], accel_limits[1])
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								      self.reset(CS.vEgo)
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								    self.last_output_accel = output_accel
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								    final_accel = clip(output_accel, accel_limits[0], accel_limits[1])
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								    return final_accel
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