def gen_a_instance(wid, arguments):
for numAgents, numTasks, seedNum, gNum, csv_dpath, pkl_dpath, json_dpath in arguments:
prefix = 'na%03d-nt%03d-ca%03d-sn%02d' % (
numAgents, numTasks, DEFAULT_VOLUME_CAPACITY, seedNum)
agents = gen_agents(seedNum, prefix, gNum, numAgents, dpath=csv_dpath)
tasks = gen_tasks(seedNum, prefix, numTasks, agents, dpath=csv_dpath)
prob = gen_problemInstance(prefix, agents, tasks, tb_ratio=1.05)
prob_pkl2json(prob, dpath=json_dpath)
def test():
gNum, seedNum = 0, 0
numAgents = 5
numTasks = 10
problemName = 'g%d-na%03d-sn%02d' % (gNum, numAgents, seedNum)
agents = gen_agents(seedNum, problemName, gNum, numAgents, dpath='_temp')
tasks = gen_tasks(seedNum, problemName, numTasks, agents, dpath='_temp')
tb_ratio = 1.05
#
gen_problemInstance(problemName, agents, tasks, tb_ratio)
def get_a_instance_givenSeedNums(wid, seedNums):
capacity = 5
numAgents = 10
for seedNum in seedNums:
gNum = seedNum % NUM_GROUP
prefix = 'na%03d-sn%02d' % (numAgents, seedNum)
agents = gen_agents(seedNum, prefix, gNum, numAgents, dpath=csv_dpath)
for numTasks in range(20, 101, 20):
prefix = 'na%03d-nt%03d-ca%03d-sn%02d' % (numAgents, numTasks,
capacity, seedNum)
tasks = gen_tasks(seedNum,
prefix,
numTasks,
agents,
dpath=csv_dpath)
prob = gen_problemInstance(prefix,
agents,
tasks,
tb_ratio=1.05,
volume_capacity=capacity,
weight_capacity=capacity)
prob_pkl2json(prob, dpath=json_dpath)
'Lat': loc_lat,
'Lng': loc_lng,
'Note': loc_name
}
with open(csv_fpath, 'a') as w_csvfile:
writer = csv.writer(w_csvfile, lineterminator='\n')
writer.writerow([
instance[attr] for attr in [
'tid', 'Region', 'PlanningArea', 'SubZone', 'Lat', 'Lng',
'Note'
]
])
tasks.append(instance)
#
with open(pkl_fpath, 'wb') as fp:
pickle.dump(tasks, fp)
return tasks
if __name__ == '__main__':
from genAG import gen_agents
gNum, numAgents, seedNum = 0, 5, 0
numTasks = 3
prefix = 'g%d-na%03d-sn%02d' % (gNum, numAgents, seedNum)
agents = gen_agents(seedNum, prefix, gNum, numAgents, dpath='_temp')
tasks = gen_tasks(seedNum, prefix, numTasks, agents, dpath='_temp')
with open(opath.join('_temp', '%s.pkl' % prefix), 'wb') as fp:
pickle.dump([agents, tasks], fp)