def clusterForward(self, selection):
"""
Forward clustering, using all the results of the query as
seeds (when appropriate). It is based on the usage of the
L{cluster forward<rdflib.sparql.sparqlGraph.clusterForward>}
method for triple store.
@param selection: a selection to define the seeds for
clustering via the selection; the result of select used for
the clustering seed
@return: a new triple store
@rtype: L{sparqlGraph<rdflib.sparql.sparqlGraph>}
"""
if self.parent1 != None and self.parent2 != None:
return self.parent1.clusterForward(
selection) + self.parent2.clusterForward(selection)
else:
clusterF = SPARQLGraph()
for r in reduce(lambda x, y: list(x) + list(y),
self.select(selection), ()):
try:
check_subject(r)
self.triples.clusterForward(r, clusterF)
except:
# no real problem, this is a literal, just forget about it
continue
return clusterF
def clusterForward(self,selection) :
"""
Forward clustering, using all the results of the query as
seeds (when appropriate). It is based on the usage of the
L{cluster forward<rdflib.sparql.sparqlGraph.clusterForward>}
method for triple store.
@param selection: a selection to define the seeds for
clustering via the selection; the result of select used for
the clustering seed
@return: a new triple store
@rtype: L{sparqlGraph<rdflib.sparql.sparqlGraph>}
"""
if self.parent1 != None and self.parent2 != None :
return self.parent1.clusterForward(selection) + self.parent2.clusterForward(selection)
else :
clusterF = SPARQLGraph()
for r in reduce(lambda x,y: list(x) + list(y),self.select(selection),()) :
try :
check_subject(r)
self.triples.clusterForward(r,clusterF)
except :
# no real problem, this is a literal, just forget about it
continue
return clusterF
def clusterForward(self, seed, Cluster=None):
"""
Cluster the triple store: from a seed, transitively get all
properties and objects in direction of the arcs.
:param seed: RDFLib Resource
:param Cluster: another :class:`~rdfextras.sparql2sql.sql.sparqlGraph` instance; if None, a new
one will be created. The subgraph will be added to this graph.
:returns: The triple store containing the cluster
:rtype: :class:`~rdfextras.sparql2sql.sql.sparqlGraph`
"""
if Cluster == None:
Cluster = SPARQLGraph()
# This will raise an exception if not kosher...
check_subject(seed) # print "Wrong type for clustering (probably a literal): %s" % seed
self._clusterForward(seed, Cluster)
return Cluster
def clusterForward(self, seed, Cluster=None):
"""
Cluster the triple store: from a seed, transitively get all
properties and objects in direction of the arcs.
:param seed: RDFLib Resource
:param Cluster: another sparqlGraph instance; if None, a new
one will be created. The subgraph will be added to this graph.
:return: The :class:`~rdfextras.sparql.graph.SPARQLGraph` triple store
containing the cluster
"""
if Cluster == None:
Cluster = SPARQLGraph()
# This will raise an exception if not kosher...
check_subject(seed) #print "Wrong type for clustering: %s" % seed
self._clusterForward(seed, Cluster)
return Cluster
def test_util_check_subject(self):
res = util.check_subject(self.s)
self.assertTrue(res == None)
def test_util_check_subject(self):
res = util.check_subject(self.s)
self.assert_(res == None)