def _init_dict(self, conf):
import pcresult
l_result = pcresult.results(conf)
if self.method == "count":
self.clsobj = _ClassifierOfCount(l_result, self.threshold)
elif self.method == "count_ighost":
self.clsobj = _ClassifierOfCountIgHost(l_result, self.threshold)
elif self.method == "cont":
areas = pcresult.result_areas(conf)
self.clsobj = _ClassifierOfContinuation(l_result,
self.threshold, areas)
elif self.method == "cont_ighost":
areas = pcresult.result_areas(conf)
self.clsobj = _ClassifierOfContinuationIgHost(l_result,
self.threshold, areas)
def _init_dict(self, conf):
import pcresult
l_result = pcresult.results(conf)
if self.method == "count":
self.clsobj = _ClassifierOfCount(l_result, self.threshold)
elif self.method == "count_ighost":
self.clsobj = _ClassifierOfCountIgHost(l_result, self.threshold)
elif self.method == "cont":
areas = pcresult.result_areas(conf)
self.clsobj = _ClassifierOfContinuation(l_result, self.threshold,
areas)
elif self.method == "cont_ighost":
areas = pcresult.result_areas(conf)
self.clsobj = _ClassifierOfContinuationIgHost(
l_result, self.threshold, areas)
def test_dag_search(conf, method, area = None):
import cg_dag
if method is None:
method = conf.get("search", "method")
src_dir = conf.get("dag", "output_dir")
if area is None:
l_area = pcresult.result_areas(conf)
else:
l_area = [area]
for area in l_area:
l_r = pcresult.results_in_area(conf, src_dir, area)
result = []
for r in l_r:
if method == "log":
result = similar_block_log(conf, r.top_dt, r.end_dt, r.area,
ignore_same = True)
elif method in ("dag_ed", "dag_mcs"):
result = cg_dag.similar_block_dag(conf, r.top_dt, r.end_dt,
r.area, method, ignore_same = True)
else:
raise NotImplementedError
print r.cond_str()
if len(result) > 10:
result = ex_sorted(result,
key = lambda x: x[1], reverse = False)[:10]
for r_found, val in result:
print val, r_found.cond_str()
print
def test_init_searchobj(conf):
l_area = pcresult.result_areas(conf)
for area in l_area:
dagc = DAGComparison(conf, area)
dagc.dump()