#!/usr/bin/env python
from duckietown_challenges import wrap_solution, ChallengeSolution, ChallengeInterfaceSolution
class Solver(ChallengeSolution):
def run(self, cis):
assert isinstance(cis, ChallengeInterfaceSolution)
from AidoGuest import AidoGuest
hostname = "aido-host"
aidoGuest = AidoGuest(hostname)
aidoGuest.run()
cis.set_solution_output_dict({})
if __name__ == '__main__':
wrap_solution(Solver())
# release CPU/GPU resources, let's be friendly with other users that may need them
cis.info('Releasing resources')
try:
model.close()
except:
msg = 'Could not call model.close():\n%s' % traceback.format_exc()
cis.error(msg)
cis.info('Graceful exit of solve()')
class Submission(ChallengeSolution):
def run(self, cis):
assert isinstance(
cis, ChallengeInterfaceSolution
) # this is a hack that would help with autocompletion
# get the configuration parameters for this challenge
params = cis.get_challenge_parameters()
cis.info('Parameters: %s' % params)
cis.info('Starting.')
solve(params, cis)
cis.set_solution_output_dict({})
cis.info('Finished.')
if __name__ == '__main__':
print('Starting submission')
wrap_solution(Submission())
def i2_step2_solution(root2, s2):
set_step(step2_name)
wrap_solution(s2, root=root2)
def i2_step1_solution(root1, s1):
set_step(step1_name)
wrap_solution(s1, root=root1)
def process_solution():
wrap_solution(S, root=root)
def step2_solution():
set_step(step2_name)
wrap_solution(S2, root=root2)
def step1_solution():
set_step(step1_name)
wrap_solution(S1, root=root1)
