def insideroutine(numberOfRuns, fr):
c_prob = []
seq_prob = []
for i in range(numberOfRuns):
tasks = []
tasks = task_generator.taskGeneration_p(20, 60)
tasks = mixed_task_builder.hardtaskWCET(tasks, 1.83, fr)
print tasks
#the following part is for testing
#c_prob.append(cprta.cprta(tasks))
seq_prob.append(EPST.probabilisticTest_p(tasks, 3, 3))
return [c_prob, seq_prob]
def insideroutine(numberOfRuns, fr):
seq_prob = []
for i in range(numberOfRuns):
tasks = []
tasks = task_generator.taskGeneration_p(10, 60)
tasks = mixed_task_builder.hardtaskWCET(tasks, 1.83, fr)
keepTasks = tasks[:]
#the following part is for testing
resP = EPST.probabilisticTest_p(tasks, 3, 3)
seq_prob.append(
resP
) #this will get the maximum probability among the tasks in a task set.
return seq_prob
def taskGenerationMatlab(numTasks, uTotal, ind):
global ofile, PSet
random.seed()
init()
UUniFast(numTasks,uTotal/100)
CSet_generate(1,2)
ofile = "taskset-matlab.m"
PSet = mixed_task_builder.hardtaskWCET(PSet, 1.83, 10**-6.)
fo = open(ofile, "ab")
fo.write("if index == "+str(ind)+"\n")
j = 0
for i in PSet:
j+=1
fo.write("taskSet{"+str(j)+"}{1} = ["+str(i['execution'])+","+str(i['abnormal_exe'])+";0.999999, 0.000001];\n")
fo.write("taskSet{"+str(j)+"}{2} = ["+str(i['period'])+"; 1];\n")
fo.write("end\n")
ofile = "taskset-p.txt"
fo = open(ofile, "ab")
print >>fo, json.dumps(PSet)
def insideroutine(numberOfRuns, fr, tib):
seq_prob = []
for i in range(numberOfRuns):
tasks=[]
tasks=task_generator.taskGeneration_p(tib,60)
tasks=mixed_task_builder.hardtaskWCET(tasks, 1.83, fr)
keepTasks = tasks[:]
#the following part is for testing
timing.tlog_start("CPRTA starts", 0 )
resEPSTK = cprta.cprta(tasks)
timing.tlog_end("CPRTA ends", stampCPRTA, 0)
timing.tlog_start("EPST method starts", 0)
resEPST = EPST.probabilisticTest_ptda_pt(tasks, nd, 3) #no opt
timing.tlog_end("EPST method ends", stampEPST, 0)
timing.tlog_start("EPSTK starts", 0 )
resEPSTK = EPST.probabilisticTest_pt(tasks, nd, 3) #no opt
timing.tlog_end("EPSTK ends", stampEPSTK, 0)
return seq_prob
for htf in hardTaskFactor:
for nd in numDeadline:
for percentageU in range(60, 61, 10):
for fr in faultRate:
numberOfRuns = 500
print('Tasks: ' + repr(tib) + ', NumDeadline:' + repr(nd) +
', FaultRate:' +
repr(fr)) + ', Utilization:' + repr(percentageU)
for i in range(numberOfRuns):
print "sample: ", i
file.write('Generated ' + repr(tib) + 'samples:' +
repr(i) + '\n')
tasks = []
tasks = task_generator.taskGeneration_p(
tib, percentageU)
tasks = mixed_task_builder.hardtaskWCET(tasks, htf, fr)
keepTasks = tasks[:]
for k in tasks:
file.write(repr(k) + ',')
file.write('\n')
#the following part is for testing
timing.tlog_start("CPRTA starts", 1)
resEPSTK = cprta.cprtao(tasks)
timing.tlog_end("CPRTA ends", stampCPRTA, 1)
if len(stampCPRTA) > 0:
file.write('Duration: ' + repr(stampCPRTA[-1]) +
'\n')
numberOfRuns = 100
c_prob = []
seq_prob = []
for j in tasksinBkt:
fileName = 'mp_tasks'+repr(j)+'_utilization'+repr(60)
folder = 'comparison/'
file = open(folder + 'txt/' + fileName + '.txt', "w")
file.write('Num of deadline miss: ' + repr(1) + '\n')
file.write('Utilization: '+repr(60) + '\n')
for i in range(numberOfRuns):
print "Sample", i
file.write('Generated '+ repr(j) +'samples:'+repr(i)+'\n')
tasks=[]
tasks=task_generator.taskGeneration_p(j,60)
tasks=mixed_task_builder.hardtaskWCET(tasks, 1.83, 10**-6.)
keepsTasks=tasks[:]
for k in tasks:
file.write(repr(k) + ',')
file.write('\n')
#the following part is for testing
file.write('DMP:\n')
tdar = EPST.probabilisticTest_po(tasks, 3, 10)
cpa = cprta.cprtao(keepsTasks)
if tdar < cpa:
file.write('bug?\n')
file.write('EPST-K:\n')
file.write(repr(tdar) + ',')
file.write('\n')
from bounds import *
# Information about the general task set
tasksinBkt = [5]
# Information about the number of testing runs
numberOfRuns = 1
# Information about the mixed task set
wcetF2 = 2.2/1.2
faultRate = [10**-6.]
hardTaskFactor = [wcetF2]
numDeadline = [1]
tasks=[]
for j in tasksinBkt:
for tib in tasksinBkt:
for fr in faultRate:
print('Tasks: ' + repr(tib) +', NumDeadline:'+repr(1)+', FaultRate:'+repr(10**-6.)+', Utilization:'+repr(60))
seq_prob = []
for i in range(numberOfRuns):
tasks=[]
tasks=task_generator.taskGeneration_p(j,60)
tasks=mixed_task_builder.hardtaskWCET(tasks, 1.83, fr)
#print tasks
#the following part is for testing
seq_prob.append(EPST.probabilisticTest_p(tasks, 1, Chernoff_bounds, 1))
seq_prob.append(EPST.probabilisticTest_p(tasks, 1, Hoeffding_inequality))
seq_prob.append(EPST.probabilisticTest_p(tasks, 1, Bernstein_inequality))
print seq_prob
