def assert_true(query, e=None):
if e is None:
e = Engine()
terms, vars = e.parse(query)
term, = terms
e.run_query_in_current(term)
return dict([(name, var.dereference(None))
for name, var in vars.iteritems()])
def assert_true(query, e=None):
if e is None:
e = Engine()
terms, vars = e.parse(query)
term, = terms
e.run_query_in_current(term)
return dict([(name, var.dereference(None))
for name, var in vars.iteritems()])
def entry_point(argv):
if len(argv) != 8:
print(
"Usage: spyrolog PROGRAM SIMILARITIES QUERY1|QUERY2|...|QUERYN MAX_DEPTH LAMBDA_CUT1|LAMBDA_CUT2|...|LAMBDA_CUTN E-TNORM|P-TNORM MIN_WIDTH"
)
return 1
program_fname = argv[1]
sim_fname = argv[2]
queries = argv[3]
max_depth = int(argv[4])
lambda_cuts = [float(i) for i in argv[5].split('|')]
entity_tnorm, predicate_tnorm = argv[6].split('|')
min_width = int(argv[7])
sim = get_similarity_from_file(sim_fname, 0, entity_tnorm, predicate_tnorm)
e = Engine(load_system=False, similarity=sim, max_depth=max_depth)
e.modulewrapper.current_module = e.modulewrapper.user_module
with open(program_fname) as f:
sim.parse_rulescores(f.read(), e)
query_idx = 0
for query in queries.split('|'):
cut = lambda_cuts[query_idx]
scores = []
depths = []
rules = []
unifications = []
sim.lambda_cut = cut
sim.reset_threshold()
sim.query_idx = query_idx
collector = GetAllScoresContinuation(e, scores, sim, depths, rules,
unifications, min_width)
e.max_depth = max_depth
goals, var_to_pos = e.parse(query)
goal = goals[0]
try:
e.run_query_in_current(goal, collector)
except UnificationFailed:
info = get_max_info(scores, depths, rules, unifications)
if info[0] > 0:
print(info[0], info[1], '|'.join(info[3]),
query + ''.join(info[2]))
else:
print(0.0, 0)
query_idx += 1
return 0
def assert_false(query, e=None):
if e is None:
e = Engine()
term = e.parse(query)[0][0]
py.test.raises(UnificationFailed, e.run_query_in_current, term)
def assert_false(query, e=None):
if e is None:
e = Engine()
term = e.parse(query)[0][0]
py.test.raises(UnificationFailed, e.run_query_in_current, term)