def test_extract_val_binary(self):
st = create_setting()
st.develop = False
# create tmp dirs for extraction output
st.inst_dir = tempfile.mkdtemp()
st.true_dir = tempfile.mkdtemp()
st.binary = True
extract(st)
# check no of files
self.assertEqual(len(st.val_true_fns),
len(st.val_part_fns))
self.assertEqual(len(st.val_inst_fns),
len(st.val_part_fns))
# test loading a corpus file
corpus = ParallelGraphCorpus(inf=st.val_true_fns[0])
# test loading a instances file
inst = CorpusInst()
inst.loadbin(st.val_inst_fns[0])
self.assertEqual(len(corpus), len(inst))
clean_inst(st)
clean_true(st)
def test_extract_dev(self):
st = create_setting()
st.validate = False
# create tmp dirs for extraction output
st.inst_dir = tempfile.mkdtemp()
st.true_dir = tempfile.mkdtemp()
extract(st)
# check no of files
self.assertEqual(len(st.dev_true_fns),
len(st.dev_part_fns))
self.assertEqual(len(st.dev_inst_fns),
len(st.dev_part_fns))
# test loading a corpus file
corpus = ParallelGraphCorpus(inf=st.dev_true_fns[0])
# test loading a instances file
inst = CorpusInst()
inst.loadtxt(st.dev_inst_fns[0],
st.descriptor.dtype)
self.assertEqual(len(corpus), len(inst))
clean_inst(st)
clean_true(st)
def test_extract_with_pp_graph_hooks(self):
"""
test of extracting feature with preprocessing hook
"""
st = create_setting()
st.validate = False
# create tmp dirs for extraction output
st.inst_dir = tempfile.mkdtemp()
st.true_dir = tempfile.mkdtemp()
# a preprocessing function which insert an attribute "x" with value
# "y" on every node inthe graphs
def pp_hook1(graphs):
for g in graphs:
for attrs in g.node.values():
attrs[u"x"] = u"y"
# a feature function which relies on the pp_hook above
def ff_x(nodes, graphs, **kwargs):
return graphs.source.node[nodes.source][u"x"]
# create a feature description
f = Feat(ff_x, "S1", pp_graph_hooks=[pp_hook1])
# add to features; descriptor and extractor are automatically derived
st.features = (f,)
extract(st)
# check no of files
self.assertEqual(len(st.dev_true_fns),
len(st.dev_part_fns))
self.assertEqual(len(st.dev_inst_fns),
len(st.dev_part_fns))
# test loading a corpus file
corpus = ParallelGraphCorpus(inf=st.dev_true_fns[0])
# test loading a instances file
inst = CorpusInst()
inst.loadtxt(st.dev_inst_fns[0],
st.descriptor.dtype)
self.assertEqual(len(corpus), len(inst))
# check values produced by preprocessing function
self.assertTrue(all(inst[0]["x"] == "y"))
clean_inst(st)
clean_true(st)
def test_extract_with_pp_graph_hooks(self):
"""
test of extracting feature with preprocessing hook
"""
st = create_setting()
st.validate = False
# create tmp dirs for extraction output
st.inst_dir = tempfile.mkdtemp()
st.true_dir = tempfile.mkdtemp()
# a preprocessing function which insert an attribute "x" with value
# "y" on every node inthe graphs
def pp_hook1(graphs):
for g in graphs:
for attrs in g.node.values():
attrs[u"x"] = u"y"
# a feature function which relies on the pp_hook above
def ff_x(nodes, graphs, **kwargs):
return graphs.source.node[nodes.source][u"x"]
# create a feature description
f = Feat(ff_x, "S1", pp_graph_hooks=[pp_hook1])
# add to features; descriptor and extractor are automatically derived
st.features = (f, )
extract(st)
# check no of files
self.assertEqual(len(st.dev_true_fns), len(st.dev_part_fns))
self.assertEqual(len(st.dev_inst_fns), len(st.dev_part_fns))
# test loading a corpus file
corpus = ParallelGraphCorpus(inf=st.dev_true_fns[0])
# test loading a instances file
inst = CorpusInst()
inst.loadtxt(st.dev_inst_fns[0], st.descriptor.dtype)
self.assertEqual(len(corpus), len(inst))
# check values produced by preprocessing function
self.assertTrue(all(inst[0]["x"] == "y"))
clean_inst(st)
clean_true(st)
def test_extract_dev(self):
st = create_setting()
st.validate = False
# create tmp dirs for extraction output
st.inst_dir = tempfile.mkdtemp()
st.true_dir = tempfile.mkdtemp()
extract(st)
# check no of files
self.assertEqual(len(st.dev_true_fns), len(st.dev_part_fns))
self.assertEqual(len(st.dev_inst_fns), len(st.dev_part_fns))
# test loading a corpus file
corpus = ParallelGraphCorpus(inf=st.dev_true_fns[0])
# test loading a instances file
inst = CorpusInst()
inst.loadtxt(st.dev_inst_fns[0], st.descriptor.dtype)
self.assertEqual(len(corpus), len(inst))
clean_inst(st)
clean_true(st)
def test_extract_val_binary(self):
st = create_setting()
st.develop = False
# create tmp dirs for extraction output
st.inst_dir = tempfile.mkdtemp()
st.true_dir = tempfile.mkdtemp()
st.binary = True
extract(st)
# check no of files
self.assertEqual(len(st.val_true_fns), len(st.val_part_fns))
self.assertEqual(len(st.val_inst_fns), len(st.val_part_fns))
# test loading a corpus file
corpus = ParallelGraphCorpus(inf=st.val_true_fns[0])
# test loading a instances file
inst = CorpusInst()
inst.loadbin(st.val_inst_fns[0])
self.assertEqual(len(corpus), len(inst))
clean_inst(st)
clean_true(st)
