find an answer for task3
This commit is contained in:
@@ -27,7 +27,7 @@ class Dragon:
|
||||
return (self.kAlpha * theta * mp.cos(theta), self.kAlpha * theta * mp.sin(theta))
|
||||
|
||||
def GenerateFirstNodeTheta(self, delta_theta):
|
||||
return kInnerCircleRadius/self.kAlpha
|
||||
return kInnerCircleRadius/self.kAlpha + delta_theta
|
||||
|
||||
def GenerateFollowNodeTheta(self, cur_node_theta, expected_distance):
|
||||
cur_node_dot = self.Theta2Dot(cur_node_theta)
|
||||
|
30
A/3/full_valid_test.py
Normal file
30
A/3/full_valid_test.py
Normal file
@@ -0,0 +1,30 @@
|
||||
from dragon import *
|
||||
kPitchToTest=0.450338
|
||||
kDeltaThetaBeg=0
|
||||
kDeltaThetaEnd=2*2*3.1415926
|
||||
kTotalSteps=100000
|
||||
kStepDeltaTheta=(kDeltaThetaEnd-kDeltaThetaBeg)/kTotalSteps
|
||||
kParallelNum=24
|
||||
tasks_list=[i for i in np.arange(kDeltaThetaBeg, kDeltaThetaEnd, kStepDeltaTheta)]
|
||||
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):
|
||||
dragen = Dragon(mp.mpf(kPitchToTest)/(2*mp.pi))
|
||||
delta_theta_list, process_id = arg
|
||||
logf=open(f"sufficiency_test_{process_id}.log","w")
|
||||
print(f"calculating delta_theta_list={delta_theta_list} with process_id={process_id}",file=logf)
|
||||
for delta_theta in delta_theta_list:
|
||||
cur_status=CheckCollision(status2blocks(dragen.CalcMoveList(delta_theta)))
|
||||
if cur_status>=0:
|
||||
return False # Error
|
||||
return True # OK
|
||||
|
||||
if __name__ == "__main__":
|
||||
manager = multiprocessing.Manager()
|
||||
task_args_list = [(task_list_per_process[i], i) for i in range(kParallelNum)]
|
||||
with multiprocessing.Pool(processes=kParallelNum) as pool:
|
||||
results=pool.map(ProcessEntryPoint, task_args_list)
|
||||
if False in results:
|
||||
print("Error")
|
||||
else:
|
||||
print("OK")
|
@@ -3,9 +3,9 @@ from dragon import *
|
||||
kBegPitch = 0.3
|
||||
kEndPitch = 0.55
|
||||
kTotalSteps = 10000
|
||||
kStepAlpha = (kEndPitch - kBegPitch) / kTotalSteps
|
||||
kStepPitch = (kEndPitch - kBegPitch) / kTotalSteps
|
||||
kParallelNum=24
|
||||
tasks_list = [kBegPitch + kStepAlpha * i for i in range(kTotalSteps)]
|
||||
tasks_list = [kBegPitch + kStepPitch * 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):
|
||||
|
@@ -1 +1,50 @@
|
||||
from dragon import *
|
||||
from dragon import *
|
||||
kBegPitch = 0.4503
|
||||
kEndPitch = 0.4504
|
||||
kTotalSteps = 100
|
||||
kStepPitch = (kEndPitch - kBegPitch) / kTotalSteps
|
||||
kParallelNum=24
|
||||
tasks_list = [kBegPitch + kStepPitch * i for i in range(kTotalSteps)]
|
||||
task_list_per_process=[tasks_list[i::kParallelNum] for i in range(kParallelNum)]
|
||||
|
||||
kDeltaThetaBeg=0
|
||||
kDeltaThetaEnd=5*2*3.1415926
|
||||
kStepDeltaTheta=(kDeltaThetaEnd-kDeltaThetaBeg)/1000
|
||||
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"sufficiency_test_{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 = 1 # OK
|
||||
for delta_theta in np.arange(kDeltaThetaBeg, kDeltaThetaEnd, kStepDeltaTheta):
|
||||
cur_status=CheckCollision(status2blocks(dragen.CalcMoveList(delta_theta)))
|
||||
if cur_status>=0:
|
||||
status=-1
|
||||
break
|
||||
tmp_res[pitch]=status
|
||||
print(f"res={status}",file=logf)
|
||||
if status == 1:
|
||||
break
|
||||
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"Pitch={time_point}",end=" ")
|
||||
if status==1:
|
||||
print("OK")
|
||||
else:
|
||||
print("Error")
|
Reference in New Issue
Block a user