labels = {}
for taskID in range(self._taskNum):
labels[taskID] = str(taskID)
print(taskID, d_graph.out_degree(taskID),
d_graph.in_degree(taskID))
nx.draw(d_graph, pos=nx.planar_layout(d_graph),
labels=labels) # networkx draw()
plt.show() # pyplot draw()
# for i in range(len(perm) - 1):
# d_graph.degree()
#在“SuperiorCatalogue”的基础上在脱掉一层路径，得到我们想要的路径。
if __name__ == '__main__':
print('test_mpdaDecoder')
AbsolutePath = os.path.abspath(__file__)
# 将相对路径转换成绝对路径
SuperiorCatalogue = os.path.dirname(AbsolutePath)
# 相对路径的上级路径
BaseDir = os.path.dirname(SuperiorCatalogue)
print(BaseDir)
ins = MPDAInstance()
insFileName = BaseDir + '//benchmark//8_8_ECCENTRIC_RANDOM_UNITARY_QUADRANT_thre0.1MPDAins.dat'
ins.loadCfg(fileName=insFileName)
decoder = MPDADecoder(ins)
import os
import sys
'''
'''
from mpdaACACO import MPDA_Task_ACO
from mpdaInstance import MPDAInstance
if __name__ == '__main__':
print('begin to run task ACO\n')
ins = MPDAInstance()
insConfDir = './/staticMpdaBenchmarkSet//'
print(sys.argv)
print(len(sys.argv))
if len(sys.argv) == 14:
pass
elif len(sys.argv) == 1:
benchmarkName = 'M_20_20_0.97'
randomSeed = 11
else:
raise Exception('something wrong on the sys.argv')
pass
print(sys.argv)
ins.loadCfg(fileName=insConfDir + benchmarkName + '.txt')
print(benchmarkName)
mpda_as = MPDA_Task_ACO(ins,
benchmarkName=benchmarkName,
rdSeed=randomSeed)
mpda_as.run()