Files
cumcm2024-code/A/3/low_bound_cal.py
2024-09-06 15:12:18 +08:00

42 lines
1.6 KiB
Python

from dragon import *
kBegPitch = 0.3
kEndPitch = 0.55
kTotalSteps = 10000
kStepAlpha = (kEndPitch - kBegPitch) / kTotalSteps
kParallelNum=24
tasks_list = [kBegPitch + kStepAlpha * i for i in range(kTotalSteps)]
task_list_per_process=[tasks_list[i::kParallelNum] for i in range(kParallelNum)]
print(f"len(task_list_per_thread)={len(task_list_per_process)}",file=sys.stderr)
def ProcessEntryPoint(arg):
pitch_list, process_id, shared_dict, lock = arg
logf=open(f"low_bound_cal_{process_id}.log","w")
print(f"calculating pitch_list={pitch_list} with process_id={process_id}",file=logf)
cnt = 0
tmp_res={}
for pitch in pitch_list:
dragen = Dragon(mp.mpf(pitch)/(2*mp.pi))
status = CheckCollision(status2blocks(dragen.CalcMoveList()))
tmp_res[pitch]=status
print(f"res={status}",file=logf)
with lock: # 添加锁保护对共享字典的操作
shared_dict.update(tmp_res)
if __name__ == "__main__":
manager = multiprocessing.Manager()
shared_dict = manager.dict() # 创建一个共享字典
lock = manager.Lock() # 创建一个共享的锁
task_args_list = [(task_list_per_process[i], i, shared_dict, lock) for i in range(kParallelNum)]
with multiprocessing.Pool(processes=kParallelNum) as pool:
pool.map(ProcessEntryPoint, task_args_list)
print(f"\nFinal Results: \n")
res_array=sorted(shared_dict.items())
for item in res_array:
time_point, status = item
print(f"time point={time_point}",end=" ")
if status==-1:
print("NoCollision")
elif status==0:
print("CollisionOnEdge")
else:
print("CollisionInBlock")