def test_classify(self):
corpus_inst = CorpusInst()
descriptor = create_setting().descriptor
corpus_inst.loadtxt("exp/inst/dev001.inst",
descriptor.dtype)
graph_inst = corpus_inst[0]
# clear relevant fields
graph_inst["pred_relation"] = "None"
graph_inst["pred_weight"] = 0.0
# backup original for comparison later on
pred_before = graph_inst["pred_relation"].copy()
weight_before = graph_inst["pred_weight"].copy()
classifier = TimblClassifier(descriptor,
"exp/inst/dev001.inst")
classifier.classify(graph_inst)
# delete classifier to make sure that server is killed,
# even if test fails
del classifier
# check that at least one prediction is different (i.e. not None)
self.assertTrue(any(graph_inst["pred_relation"] != pred_before))
# check that at least one weight is different (i.e. not 0.0)
self.assertTrue(any(graph_inst["pred_weight"] != weight_before))
def test_aligner(self):
descriptor = create_setting().descriptor
classifier = TimblClassifier(descriptor, "exp/inst/dev001.inst")
aligner = GraphAligner(descriptor=descriptor, classifier=classifier)
corpus = ParallelGraphCorpus(inf="exp/true/dev001_true.pgc")
for graph_pair in corpus[:3]:
graph_inst = aligner.align(graph_pair, clear=True)
def test_merge(self):
corpus_inst = CorpusInst()
dtype = create_setting().descriptor.dtype
corpus_inst.loadtxt("exp/inst/dev001.inst", dtype)
graph_inst = corpus_inst[0]
pgc = ParallelGraphCorpus(inf="exp/true/dev001_true.pgc")
graph_pair = pgc[0]
gm = Merger()
gm.merge(graph_inst, graph_pair)
def test_merge(self):
corpus_inst = CorpusInst()
dtype = create_setting().descriptor.dtype
corpus_inst.loadtxt("exp/inst/dev001.inst", dtype)
graph_inst = corpus_inst[0]
pgc = ParallelGraphCorpus(inf="exp/true/dev001_true.pgc")
graph_pair = pgc[0]
gm = Merger()
gm.merge(graph_inst, graph_pair)
def test_aligner(self):
descriptor = create_setting().descriptor
classifier = TimblClassifier(descriptor,
"exp/inst/dev001.inst")
aligner = GraphAligner(
descriptor=descriptor,
classifier=classifier)
corpus = ParallelGraphCorpus(inf="exp/true/dev001_true.pgc")
for graph_pair in corpus[:3]:
graph_inst = aligner.align(graph_pair, clear=True)
def test_match(self):
corpus_inst = CorpusInst()
dtype = create_setting().descriptor.dtype
corpus_inst.loadtxt("exp/inst/dev001.inst", dtype)
graph_inst = corpus_inst[0]
graph_inst["match_relation"] = "None"
match_before = graph_inst["match_relation"].copy()
gm = Matcher()
gm.match(graph_inst)
## print graph_inst["match_relation"]
# check that at least one match is different
self.assertTrue(any(graph_inst["match_relation"] != match_before))
def test_match(self):
corpus_inst = CorpusInst()
dtype = create_setting().descriptor.dtype
corpus_inst.loadtxt("exp/inst/dev001.inst", dtype)
graph_inst = corpus_inst[0]
graph_inst["match_relation"] = "None"
match_before = graph_inst["match_relation"].copy()
gm = Matcher()
gm.match(graph_inst)
## print graph_inst["match_relation"]
# check that at least one match is different
self.assertTrue(any(graph_inst["match_relation"] != match_before))
def test_align(self):
# create graph aligner
descriptor = create_setting().descriptor
classifier = TimblClassifier(descriptor, "exp/inst/dev001.inst")
graph_aligner = GraphAligner(descriptor=descriptor,
classifier=classifier)
# create corpus aligner
corpus_aligner = CorpusAligner(graph_aligner=graph_aligner,
graph_selector=select_parsed_graph_pair)
# align part of corpus
corpus = ParallelGraphCorpus(inf="exp/true/dev001_true.pgc")[:3]
corpus_aligner.align(corpus[:3], clear=True)
#corpus.write(pprint=True)
self.assertTrue(corpus[0].alignments() or corpus[1].alignments()
or corpus[2].alignments())
def test_align(self):
# create graph aligner
descriptor = create_setting().descriptor
classifier = TimblClassifier(descriptor,
"exp/inst/dev001.inst")
graph_aligner = GraphAligner(
descriptor=descriptor,
classifier=classifier)
# create corpus aligner
corpus_aligner = CorpusAligner(
graph_aligner=graph_aligner,
graph_selector=select_parsed_graph_pair)
# align part of corpus
corpus = ParallelGraphCorpus(inf="exp/true/dev001_true.pgc")[:3]
corpus_aligner.align(corpus[:3], clear=True)
#corpus.write(pprint=True)
self.assertTrue(
corpus[0].alignments() or
corpus[1].alignments() or
corpus[2].alignments())
