def testVacuum(label, w=4, h=3, dloc=[(1, 1), (2, 1)], vloc=(1, 1), limit=6):
print(label)
v = VacuumEnvironment(w, h)
for loc in dloc:
v.add_thing(Dirt(), loc)
a = v2.HW2Agent()
a = ag.TraceAgent(a)
v.add_thing(a, vloc)
t = gui.EnvTUI(v)
t.mapImageNames({
ag.Wall: '#',
Dirt: '@',
ag.Agent: 'V',
})
t.step(0)
t.list_things(Dirt)
t.step(limit)
if len(t.env.get_things(Dirt)) > 0:
t.list_things(Dirt)
else:
print('All clean!')
# Check to continue
if input('Do you want to continue [Y/n]? ') == 'n':
exit(0)
else:
print('----------------------------------------')
def testVacuum(student,
label,
w=4,
h=3,
dloc=[(1, 1), (2, 1)],
vloc=(1, 1),
limit=6,
points=5.0):
print(student + ', ' + label)
v = VacuumEnvironment(w, h)
dStart = len(dloc)
for loc in dloc:
v.add_thing(Dirt(), loc)
try:
a = submissions[student]()
a = ag.TraceAgent(a)
v.add_thing(a, vloc)
t = gui.EnvTUI(v)
t.mapImageNames({
ag.Wall: '#',
Dirt: '@',
ag.Agent: 'V',
})
t.step(0)
t.list_things(Dirt)
t.step(limit)
except:
traceback.print_exc()
dFinish = len(t.env.get_things(Dirt))
if dFinish > 0:
t.list_things(Dirt)
else:
print('All clean!')
newPoints = points * (dStart - dFinish) / dStart
scores[student].append(newPoints)
print(student + ' scores ' + str(newPoints))
# Check to continue
if interactive == False:
print('----------------------------------------')
return True
elif input('Continue testing ' + student + ' [Y/n]? ') == 'n':
print('----------------------------------------')
raise MyException
return False
else:
print('----------------------------------------')
return True
def startSim(self):
self.vacuumEnvironment.add_thing(agents.TraceAgent(agents.ReflexVacuumAgent()))
#self.vacuumEnvironment.add_thing(agents.TraceAgent(agents.TableDrivenVacuumAgent()))
self.vacuumEnvironment.run(10)
# a = ag.TraceAgent(a)
# v.add_agent(a)
# g = gui.EnvGUI(v, 'Vaccuum')
# c = g.getCanvas()
# c.mapImageNames({
# Dirt: 'images/dirt.png',
# ag.Wall: 'images/wall.jpg',
# # Floor: 'images/floor.png',
# ag.Agent: 'images/vacuum.png',
# })
# c.update()
# g.mainloop()
# Launch GUI of more complex environment
v = VacuumEnvironment(5, 4)
#a = ModelBasedVacuumAgent()
a = RandomVacuumAgent()
a = ag.TraceAgent(a)
loc = v.random_location_inbounds()
v.add_thing(a, location=loc)
v.scatter_things(Dirt)
g = gui.EnvGUI(v, 'Vaccuum')
c = g.getCanvas()
c.mapImageNames({
ag.Wall: 'submissions/Becker/wall.jpg',
# Floor: 'images/floor.png',
Dirt: 'images/dirt.png',
ag.Agent: 'images/vacuum.png',
})
c.update()
g.mainloop()
