def verify_mode(status_chain, modes, v=10):
""" 验证一个状态链是否在模型集合中
如果在，则返回模型编号(在modes中的索引)
否则返回验证未通过的原因
"""
tmp_mat = get_prob_mat(status_chain)
foo_1 = list()
#==============================================================================
# 产生新模式的原因，
# 其中在出现新任务模式中，原因为新任务
# 出现新转移概率模型中，原因是转移概率发生变化的任务
#==============================================================================
reason = list()
for x in modes:
new_task = check_new_task(tmp_mat, x)
if len(new_task) == 0:
foo_1.append(True)
else:
foo_1.append(False)
reason.append(new_task)
if True not in foo_1:
return ('new task', reason)
#return False
else:
''' 无新的任务出现则检查矩阵状态 '''
foo_2, reason = list(), dict()
for x in modes:
new_angle = cmp_mat(*(list((lambda: mat_trim(tmp_mat, x))()) +
[v]))
if new_angle == True:
foo_2.append(True)
else:
foo_2.append(False)
# 返回的原因包含新模型与已知模型相比发生变化的任务
reason[modes.index(x)] = new_angle
#foo_2 = map(lambda x: cmp_mat(*(list((lambda: mat_trim(tmp_mat, x))()) + [v])) == True, modes)
if True not in foo_2:
#==============================================================================
# #以下代码可以只返回导致新模型的任务名，直接返回reason可以得到更加详细的信息
# #reason = list(set([i for i in x.keys() for x in reason.values()]))
#==============================================================================
#以下代码可以导致返回任务的真实名字
r = dict()
for i in reason.keys():
x = dict()
for e in reason[i].keys():
x[get_taskname(app_c_path, e)] = round(reason[i][e], 2)
r[i] = x
reason = r
return ('new mode', reason)
#return False
return foo_2.index(True)
def verify_mode(status_chain, modes, v=10):
""" 验证一个状态链是否在模型集合中
如果在，则返回模型编号(在modes中的索引)
否则返回验证未通过的原因
"""
tmp_mat = get_prob_mat(status_chain)
foo_1 = list()
reason = list()
for x in modes:
new_task = check_new_task(tmp_mat, x)
if len(new_task) == 0:
foo_1.append(True)
else:
foo_1.append(False)
reason.append(new_task)
if True not in foo_1:
return ('new task', reason)
#return False
else:
''' 无新的任务出现则检查矩阵状态 '''
foo_2, reason = list(), dict()
for x in modes:
new_angle = cmp_mat(*(list((lambda: mat_trim(tmp_mat, x))()) +
[v]))
if new_angle == True:
foo_2.append(True)
else:
foo_2.append(False)
# 返回的原因包含新模型与已知模型相比发生变化的任务
reason[modes.index(x)] = new_angle
if True not in foo_2:
#以下代码可以导致返回任务的真实名字
r = dict()
for i in reason.keys():
x = dict()
for e in reason[i].keys():
x[get_taskname(app_c_path, e)] = round(reason[i][e], 2)
r[i] = x
reason = r
return ('new mode', reason)
return foo_2.index(True)
err_state.append(get_prob_mat(i))
else:
foo_ = verify_mode(i, err_state, 10)
if type(foo_) is not int:
foo_ = len(err_state)
err_state.append(get_prob_mat(i))
foo_ += len(modes)
#type(foo) is not int and format_print_mat(get_prob_mat(i)) # 打印错误状态的矩阵
job_flow.append(
(lambda: [foo, True]
if type(foo) is types.IntType else [foo_, False])())
def job_flow_print(job_flow):
""" 工作流输出
"""
for i in job_flow:
if i[1]:
print('\033[1;42;37m%d' % i[0], )
#print '\033[1;32m█',
else:
print('\033[1;41;37m%d' % i[0], )
#print '\033[1;41;37m✘',
print('\033[0m')
print('\n\n')
job_flow_print(job_flow)
print('\n\n')
for i in nodes[node_No].called_func:
print(i, ': ', get_taskname(app_c_path, i))
else:
print '\033[1;42;37m%d' % i[0],
#print '\033[1;32m█',
else:
if cnt % 28 == 0:
print '\033[1;41;37m%d' % i[0]
else:
print '\033[1;41;37m%d' % i[0],
#print '\033[1;41;37m✘',
print '\033[0m'
print '\n\n'
job_flow_print(job_flow)
print '\n\n'
#==============================================================================
#
# tmp_mat = modes[0]
# for e in tmp_mat:
# print e, int(e, 16), tmp_mat[e]
#==============================================================================
name2id = dict()
for i in nodes[node_No].called_func:
name2id[get_taskname(app_c_path, i)] = i
print '异常任务：'
for e in set(err_task): # 打印异常任务
print "\033[1;41;37m(%s)\033[1;40;34m %s \033[0m" % (name2id[e], e)
#==============================================================================
# for i in nodes[node_No].called_func:
# print i, ': ', get_taskname(app_c_path, i)
#==============================================================================