def randomEntropyData(seed,N,dag,falsePos=False,falseNeg=False,maxCount=10):
random.seed(seed)
loc=random.randint(0,N-1)
locList=[False for x in range(N)]
locList[loc]=True
detectable=listOr(dag.anyUpto(locList),locList)
counts=[(random.randint(0,maxCount),random.randint(0,maxCount)) for x in range(N)]
# eliminate impossible counts for this test
if not falsePos:
counts=[ cond(not detectable[x],(counts[x][0],0),counts[x]) for x in range(N)]
if not falseNeg:
counts=[ cond(detectable[x],(0,counts[x][1]),counts[x]) for x in range(N)]
UlocPrior=[random.random() for x in range(N)]
norm=sum(UlocPrior)
locPrior=[numberType.const(i/norm) for i in UlocPrior]
return (counts,locPrior)
def randomEntropyData(seed,
N,
dag,
falsePos=False,
falseNeg=False,
maxCount=10):
random.seed(seed)
loc = random.randint(0, N - 1)
locList = [False for x in range(N)]
locList[loc] = True
detectable = listOr(dag.anyUpto(locList), locList)
counts = [(random.randint(0, maxCount), random.randint(0, maxCount))
for x in range(N)]
# eliminate impossible counts for this test
if not falsePos:
counts = [
cond(not detectable[x], (counts[x][0], 0), counts[x])
for x in range(N)
]
if not falseNeg:
counts = [
cond(detectable[x], (0, counts[x][1]), counts[x]) for x in range(N)
]
UlocPrior = [random.random() for x in range(N)]
norm = sum(UlocPrior)
locPrior = [numberType.const(i / norm) for i in UlocPrior]
return (counts, locPrior)
def skipProbsSimple(skipped,dag):
return [listUtils.cond(s,numberType.one,numberType.zero) for s in skipped]