/usr/share/doc/python-rdflib-doc/examples/conjunctive_graphs.py is in python-rdflib-doc 4.1.2-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | """
An RDFLib ConjunctiveGraph is an (unamed) aggregation of all the named graphs
within a Store. The :meth:`~rdflib.graph.ConjunctiveGraph.get_context`
method can be used to get a particular named graph, or triples can be
added to the default graph
This example shows how to create some named graphs and work with the
conjunction of all the graphs.
"""
from rdflib import Namespace, Literal, URIRef
from rdflib.graph import Graph, ConjunctiveGraph
from rdflib.plugins.memory import IOMemory
if __name__=='__main__':
ns = Namespace("http://love.com#")
mary = URIRef("http://love.com/lovers/mary#")
john = URIRef("http://love.com/lovers/john#")
cmary=URIRef("http://love.com/lovers/mary#")
cjohn=URIRef("http://love.com/lovers/john#")
store = IOMemory()
g = ConjunctiveGraph(store=store)
g.bind("love",ns)
gmary = Graph(store=store, identifier=cmary)
gmary.add((mary, ns['hasName'], Literal("Mary")))
gmary.add((mary, ns['loves'], john))
gjohn = Graph(store=store, identifier=cjohn)
gjohn.add((john, ns['hasName'], Literal("John")))
#enumerate contexts
for c in g.contexts():
print("-- %s " % c)
#separate graphs
print(gjohn.serialize(format='n3'))
print("===================")
print(gmary.serialize(format='n3'))
print("===================")
#full graph
print(g.serialize(format='n3'))
# query the conjunction of all graphs
print 'Mary loves:'
for x in g[mary : ns.loves/ns.hasName]:
print x
|