本文整理汇总了Python中rdflib.graph.Graph.qname方法的典型用法代码示例。如果您正苦于以下问题：Python Graph.qname方法的具体用法？Python Graph.qname怎么用？Python Graph.qname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rdflib.graph.Graph的用法示例。
在下文中一共展示了Graph.qname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: main
# 需要导入模块: from rdflib.graph import Graph [as 别名]
# 或者: from rdflib.graph.Graph import qname [as 别名]
#.........这里部分代码省略.........
ruleSet.formulae.extend(dlp)
if options.output == 'rif' and not options.why:
for rule in ruleSet:
print(rule)
if options.negation:
for nRule in network.negRules:
print(nRule)
elif options.output == 'man-owl':
cGraph = network.closureGraph(factGraph, readOnly=False)
cGraph.namespace_manager = namespace_manager
Individual.factoryGraph = cGraph
if options.classes:
mapping = dict(namespace_manager.namespaces())
for c in options.classes:
pref, uri = c.split(':')
print(Class(URIRef(mapping[pref] + uri)).__repr__(True))
elif options.properties:
mapping = dict(namespace_manager.namespaces())
for p in options.properties:
pref, uri = p.split(':')
print(Property(URIRef(mapping[pref] + uri)))
else:
for p in AllProperties(cGraph):
print(p.identifier, first(p.label))
print(repr(p))
for c in AllClasses(cGraph):
if options.normalize:
if c.isPrimitive():
primAnc = [sc for sc in c.subClassOf if sc.isPrimitive()]
if len(primAnc) > 1:
warnings.warn("Branches of primitive skeleton taxonomy" +
" should form trees: %s has %s primitive parents: %s" % (
c.qname, len(primAnc), primAnc), UserWarning, 1)
children = [desc for desc in c.subSumpteeIds()]
for child in children:
for otherChild in [o for o in children if o is not child]:
if not otherChild in [c.identifier
for c in Class(child).disjointWith]: # and\
warnings.warn("Primitive children (of %s) " % (c.qname) +
"must be mutually disjoint: %s and %s" % (
Class(child).qname,
Class(otherChild).qname), UserWarning, 1)
# if not isinstance(c.identifier,BNode):
print(c.__repr__(True))
if not options.why:
#Naive construction of graph
for rule in ruleSet:
network.buildNetworkFromClause(rule)
magicSeeds=[]
if options.why:
builtinTemplateGraph = Graph()
if options.builtinTemplates:
builtinTemplateGraph = Graph().parse(options.builtinTemplates,
format='n3')
factGraph.templateMap = \
dict([(pred, template)
for pred, _ignore, template in
builtinTemplateGraph.triples(
(None,
TEMPLATES.filterTemplate,
None))])
goals = []
query = ParseSPARQL(options.why)