本文整理汇总了Python中exp.viroscopy.model.HIVGraph.HIVGraph.getAllEdges方法的典型用法代码示例。如果您正苦于以下问题：Python HIVGraph.getAllEdges方法的具体用法？Python HIVGraph.getAllEdges怎么用？Python HIVGraph.getAllEdges使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类exp.viroscopy.model.HIVGraph.HIVGraph的用法示例。
在下文中一共展示了HIVGraph.getAllEdges方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: testSimulate2
# 需要导入模块: from exp.viroscopy.model.HIVGraph import HIVGraph [as 别名]
# 或者: from exp.viroscopy.model.HIVGraph.HIVGraph import getAllEdges [as 别名]
def testSimulate2(self):
startDate = 0.0
endDate = 100.0
M = 1000
meanTheta, sigmaTheta = HIVModelUtils.estimatedRealTheta()
undirected = True
graph = HIVGraph(M, undirected)
alpha = 2
zeroVal = 0.9
p = Util.powerLawProbs(alpha, zeroVal)
hiddenDegSeq = Util.randomChoice(p, graph.getNumVertices())
meanTheta[4] = 0.1
recordStep = 10
printStep = 10
rates = HIVRates(graph, hiddenDegSeq)
model = HIVEpidemicModel(graph, rates, endDate, startDate)
model.setRecordStep(recordStep)
model.setPrintStep(printStep)
model.setParams(meanTheta)
initialInfected = graph.getInfectedSet()
times, infectedIndices, removedIndices, graph = model.simulate(True)
#Now test the final graph
edges = graph.getAllEdges()
for i, j in edges:
if graph.vlist.V[i, HIVVertices.genderIndex] == graph.vlist.V[j, HIVVertices.genderIndex] and (graph.vlist.V[i, HIVVertices.orientationIndex] != HIVVertices.bi or graph.vlist.V[j, HIVVertices.orientationIndex] != HIVVertices.bi):
self.fail()
finalInfected = graph.getInfectedSet()
finalRemoved = graph.getRemovedSet()
self.assertEquals(numpy.intersect1d(initialInfected, finalRemoved).shape[0], len(initialInfected))
#Test case where there is no contact
meanTheta = numpy.array([100, 0.95, 1, 1, 0, 0, 0, 0, 0, 0, 0], numpy.float)
times, infectedIndices, removedIndices, graph, model = runModel(meanTheta)
self.assertEquals(len(graph.getInfectedSet()), 100)
self.assertEquals(len(graph.getRemovedSet()), 0)
self.assertEquals(graph.getNumEdges(), 0)
heteroContactRate = 0.1
meanTheta = numpy.array([100, 0.95, 1, 1, 0, 0, heteroContactRate, 0, 0, 0, 0], numpy.float)
times, infectedIndices, removedIndices, graph, model = runModel(meanTheta)
self.assertEquals(len(graph.getInfectedSet()), 100)
self.assertEquals(len(graph.getRemovedSet()), 0)
edges = graph.getAllEdges()
for i, j in edges:
self.assertNotEqual(graph.vlist.V[i, HIVVertices.genderIndex], graph.vlist.V[j, HIVVertices.genderIndex])
#Number of conacts = rate*people*time
infectedSet = graph.getInfectedSet()
numHetero = (graph.vlist.V[list(infectedSet), HIVVertices.orientationIndex] == HIVVertices.hetero).sum()
self.assertTrue(abs(numHetero*endDate*heteroContactRate- model.getNumContacts()) < 100)
heteroContactRate = 0.01
meanTheta = numpy.array([100, 0.95, 1, 1, 0, 0, heteroContactRate, 0, 0, 0, 0], numpy.float)
times, infectedIndices, removedIndices, graph, model = runModel(meanTheta)
infectedSet = graph.getInfectedSet()
numHetero = (graph.vlist.V[list(infectedSet), HIVVertices.orientationIndex] == HIVVertices.hetero).sum()
self.assertAlmostEqual(numHetero*endDate*heteroContactRate/100, model.getNumContacts()/100.0, 0)