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simulator.py
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simulator.py
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import os
import gym
import time
import numpy as np
from world import World
import car
import dynamics
import visualize
import lane
class Simulation(object):
def __init__(self, name, total_time=1000, recording_time=[0,1000]):
self.name = name.lower()
self.total_time = total_time
self.recording_time = [max(0,recording_time[0]), min(total_time,recording_time[1])]
self.frame_delay_ms = 0
def reset(self):
self.trajectory = []
self.alreadyRun = False
self.ctrl_array = [[0]*self.input_size]*self.total_time
@property
def ctrl(self):
return self.ctrl_array
@ctrl.setter
def ctrl(self, value):
self.reset()
self.ctrl_array = value.copy()
self.run(reset=False)
class DrivingSimulation(Simulation):
def __init__(self, name, total_time=50, recording_time=[0,50]):
super(DrivingSimulation, self).__init__(name, total_time=total_time, recording_time=recording_time)
self.world = World()
clane = lane.StraightLane([0., -1.], [0., 1.], 0.17)
self.world.lanes += [clane, clane.shifted(1), clane.shifted(-1)]
self.world.roads += [clane]
self.world.fences += [clane.shifted(2), clane.shifted(-2)]
self.dyn = dynamics.CarDynamics(0.1)
self.robot = car.Car(self.dyn, [0., -0.3, np.pi/2., 0.4], color='orange')
self.human = car.Car(self.dyn, [0.17, 0., np.pi/2., 0.41], color='white')
self.world.cars.append(self.robot)
self.world.cars.append(self.human)
self.initial_state = [self.robot.x, self.human.x]
self.input_size = 2
self.reset()
self.viewer = None
def initialize_positions(self):
self.robot_history_x = []
self.robot_history_u = []
self.human_history_x = []
self.human_history_u = []
self.robot.x = self.initial_state[0]
self.human.x = self.initial_state[1]
def reset(self):
super(DrivingSimulation, self).reset()
self.initialize_positions()
def run(self, reset=False):
if reset:
self.reset()
else:
self.initialize_positions()
for i in range(self.total_time):
self.robot.u = self.ctrl_array[i]
if i < self.total_time//5:
self.human.u = [0, self.initial_state[1][3]]
elif i < 2*self.total_time//5:
self.human.u = [1., self.initial_state[1][3]]
elif i < 3*self.total_time//5:
self.human.u = [-1., self.initial_state[1][3]]
elif i < 4*self.total_time//5:
self.human.u = [0, self.initial_state[1][3]*1.3]
else:
self.human.u = [0, self.initial_state[1][3]*1.3]
self.robot_history_x.append(self.robot.x)
self.robot_history_u.append(self.robot.u)
self.human_history_x.append(self.human.x)
self.human_history_u.append(self.human.u)
self.robot.move()
self.human.move()
self.trajectory.append([self.robot.x, self.human.x])
self.alreadyRun = True
# I keep all_info variable for the compatibility with mujoco wrapper
def get_trajectory(self, all_info=True):
if not self.alreadyRun:
self.run()
return self.trajectory.copy()
def get_recording(self, all_info=True):
traj = self.get_trajectory(all_info=all_info)
return traj[self.recording_time[0]:self.recording_time[1]]
def watch(self, repeat_count=1):
self.robot.x = self.initial_state[0]
self.human.x = self.initial_state[1]
if self.viewer is None:
self.viewer = visualize.Visualizer(0.1, magnify=1.2)
self.viewer.main_car = self.robot
self.viewer.use_world(self.world)
self.viewer.paused = True
for _ in range(repeat_count):
video = self.viewer.run_modified(history_x=[self.robot_history_x, self.human_history_x], history_u=[self.robot_history_u, self.human_history_u])
self.viewer.window.close()
self.viewer = None
return video
class FetchSimulation(Simulation):
def __init__(self, total_time=1, recording_time=[0,1]):
super(FetchSimulation, self).__init__(name='Fetch', total_time=total_time, recording_time=recording_time)
def reset(self):
super(FetchSimulation, self).reset()
def run(self, reset=False):
pass
def get_trajectory(self, all_info=True):
pass
def get_recording(self, all_info=True):
pass
def watch(self, repeat_count=4):
pass
def close(self): # run only when you dont need the simulation anymore
pass
@property
def seed(self):
return 0
@seed.setter
def seed(self, value=0):
pass