本文整理匯總了Python中rdflib.Graph.ConjunctiveGraph.default_context方法的典型用法代碼示例。如果您正苦於以下問題：Python ConjunctiveGraph.default_context方法的具體用法？Python ConjunctiveGraph.default_context怎麽用？Python ConjunctiveGraph.default_context使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類rdflib.Graph.ConjunctiveGraph的用法示例。
在下文中一共展示了ConjunctiveGraph.default_context方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: parse
# 需要導入模塊: from rdflib.Graph import ConjunctiveGraph [as 別名]
# 或者: from rdflib.Graph.ConjunctiveGraph import default_context [as 別名]
def parse(self, source, graph):
# we're currently being handed a Graph, not a ConjunctiveGraph
assert graph.store.context_aware # is this implied by formula_aware
assert graph.store.formula_aware
conj_graph = ConjunctiveGraph(store=graph.store)
conj_graph.default_context = graph # TODO: CG __init__ should have a default_context arg
# TODO: update N3Processor so that it can use conj_graph as the sink
sink = Sink(conj_graph)
if False:
sink.quantify = lambda *args: True
sink.flatten = lambda *args: True
baseURI = graph.absolutize(source.getPublicId() or source.getSystemId() or "")
p = N3Processor("nowhere", sink, baseURI=baseURI) # pass in "nowhere" so we can set data instead
p.userkeys = True # bah
p.data = source.getByteStream().read() # TODO getCharacterStream?
p.parse()
for prefix, namespace in p.bindings.items():
conj_graph.bind(prefix, namespace)