本文整理汇总了Python中SR.computeLabelings方法的典型用法代码示例。如果您正苦于以下问题：Python SR.computeLabelings方法的具体用法？Python SR.computeLabelings怎么用？Python SR.computeLabelings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SR的用法示例。
在下文中一共展示了SR.computeLabelings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: set
# 需要导入模块: import SR [as 别名]
# 或者: from SR import computeLabelings [as 别名]
f.close()
#dictionary for all scj distances
dict_SCJ={}
#compute CCs in global adjacency graph
ccs = globalAdjacencyGraph.createGraph(extantAdjacencies,nodesPerAdjacency)
if (not args.skip_first):
conflicts = globalAdjacencyGraph.analyseConnectedComponents(ccs)
globalAdjacencyGraph.outputConflicts(conflicts,args.output+"/conflicts")
jointLabels, first = SR.enumJointLabelings(ccs)
validLabels, validAtNode = SR.validLabels(jointLabels,first)
topDown = SR.computeLabelings(tree, ccs, validAtNode, extantAdjacencies, adjacencyProbs, args.alpha)
reconstructedAdj = SR.reconstructedAdjacencies(topDown)
SR.outputReconstructedAdjacencies(reconstructedAdj,args.output+"/reconstructed_adjacencies")
for node in reconstructedAdj:
print node
print "Number of reconstructed adjacencies: "+str(len(reconstructedAdj[node]))
scaffolds = scaffolding.scaffoldAdjacencies(reconstructedAdj)
undoubled = scaffolding.undoubleScaffolds(scaffolds)
scaffolding.outputUndoubledScaffolds(undoubled,args.output+"/undoubled_scaffolds")
scaffolding.outputScaffolds(scaffolds,args.output+"/doubled_scaffolds")
scaffolding.sanityCheckScaffolding(undoubled)
# reconstruct marker pairs out of extantAdjacencies
reconstructedMarker = set()