def generate_quantifier(sentence, quantifiers):
'''
Take a sentence and set of quantifiers and trim the quantifiers so only
variables in the sentence exist in the quantifier. Return the new
quantifier and sentence together in a list.
return list axiom, [[quantifiers], [sentence]]
'''
new_quantifiers = quantifiers[:]
predicates = []
Translation.find_binary_predicates(sentence, predicates)
Translation.find_unary_predicates(sentence, predicates)
predicates = list(set([get_predicate_name(p) for p in predicates]))
#print("[+] Found Predicates:", predicates)
quantified_variables = []
for quantifier in new_quantifiers:
Translation.get_universally_quantified(quantifier, quantified_variables)
Translation.get_existentially_quantified(quantifier, quantified_variables)
quantified_variables = list(set(quantified_variables))
#print("[+] Found Quantified Variables:", quantified_variables)
flattened_axiom = list(set(list(Util.flatten(sentence))))
variables = list(filter(Translation.is_nonlogical, flattened_axiom))
variables = [v for v in variables if v not in predicates]
#print("[+] Found Variables:", variables)
variables_to_trim = [v for v in quantified_variables if v not in variables]
#print("[+] Removing Variables:", variables_to_trim)
#print("[+] Starting Quantifier:", new_quantifiers)
new_quantifiers = trim_quantifier(new_quantifiers, variables_to_trim)
#print("[+] Generated Quantifier:", new_quantifiers)
return [copy.deepcopy(new_quantifiers), copy.deepcopy(sentence)]
help='Input Clif',
required=True)
args = parser.parse_args()
axioms, extractions = Extractions.get_all_extractions(args.file)
unary = set()
binary = set()
for a in axioms:
print(a)
unary_predicates = []
binary_predicates = []
Translation.find_unary_predicates(a[0], unary_predicates)
Translation.find_binary_predicates(a[0], binary_predicates)
print('-----------')
#pp.pprint(s)
print('')
#print(is_all_unary(translated[1]))
#pp.pprint(translated)
print(unary_predicates)
print(binary_predicates)
for u in unary_predicates:
unary.add(u[0])
for b in binary_predicates: