def _simple_scorer_update(G, edge):
evidence_list = []
for stmt_data in G.edges[edge]['statements']:
for k, v in stmt_data['source_counts'].items():
if k in db_source_mapping:
s = db_source_mapping[k]
else:
s = k
for _ in range(v):
evidence_list.append(Evidence(source_api=s))
return simple_scorer.score_statement(st=Statement(evidence=evidence_list))
def _simple_scorer_update(G, edge):
evidence_list = []
for stmt_data in G.edges[edge]['statements']:
for k, v in stmt_data['source_counts'].items():
if k in db_source_mapping:
s = db_source_mapping[k]
else:
s = k
for _ in range(v):
evidence_list.append(Evidence(source_api=s))
try:
ag_belief = simple_scorer.score_statement(
Statement(evidence=evidence_list))
# Catch underflow
except FloatingPointError as err:
# Numpy precision
NP_PRECISION = 10 ** -np.finfo(np.longfloat).precision
logger.warning('%s: Resetting ag_belief to 10*np.longfloat precision '
'(%.0e)' % (err, Decimal(NP_PRECISION * 10)))
ag_belief = NP_PRECISION * 10
return ag_belief
