print("Loading question db %s" % flags.database)
db = QuestionDatabase(flags.database)
pw = PerformanceWriter(flags.performance_output, flags.user)
tf = TitleFinder(open(flags.title_index))
questions = db.questions_by_tournament("High School Championship")
for qid in questions:
question = questions[qid]
if question.fold == "train" or qid in seen:
continue
choices = list(tf.query(question.answer))
# Get what and when the human answered
wp, idx, ans = get_answer([question.text[x] for x in sorted(question.text)], question.answer, question.page)
print("\n".join(question.text.values()))
print("\n")
print("--------------------\n")
print(question.answer, question.page)
print("--------------------\n")
sleep(1)
if question.page == "":
page = simple_menu([x[0] for x in choices], tf._index, [x[1] for x in choices])
al.remember(question.qnum, page)
al.dump(flags.label_path)
else:
page = question.page
pw.add_row(question.qnum, wp, idx[0], idx[1], ans, question.answer, page)
reverse=True):
if ans in kBAD_ANSWERS:
continue
choices = list(tf.query(ans))
print("--------- (%i)" % sum(count.values()))
print(ans)
normalized_answer = normalize(ans)
if sum(page_diversity[normalized_answer].values()) >= 5 and \
len(page_diversity[normalized_answer]) == 1:
page = page_diversity[normalized_answer].keys()[0]
print("Autoassigning %s to %s" % (ans, page))
else:
page = simple_menu([x[0] for x in choices], tf._index,
[x[1] for x in choices])
if page:
for query in count:
for question in d.questions_by_answer(query):
if not question.page:
al.remember(question.qnum, page)
print("%i\t%s" % (question.qnum,
question.text[max(question.text)]))
else:
for query in count:
for question in d.questions_by_answer(query):
if not question.page:
print("%i\t%s" % (question.qnum,
question.text[max(question.text)]))
al.dump(args.labels)
tf = TitleFinder(open(flags.title_index))
questions = db.questions_by_tournament("High School Championship")
for qid in questions:
question = questions[qid]
if question.fold == "train" or qid in seen:
continue
choices = list(tf.query(question.answer))
# Get what and when the human answered
wp, idx, ans = get_answer(
[question.text[x] for x in sorted(question.text)], question.answer,
question.page)
print("\n".join(question.text.values()))
print("\n")
print("--------------------\n")
print(question.answer, question.page)
print("--------------------\n")
sleep(1)
if question.page == "":
page = simple_menu([x[0] for x in choices], tf._index,
[x[1] for x in choices])
al.remember(question.qnum, page)
al.dump(flags.label_path)
else:
page = question.page
pw.add_row(question.qnum, wp, idx[0], idx[1], ans, question.answer,
page)
if ans in kBAD_ANSWERS:
continue
choices = list(tf.query(ans))
print("--------- (%i)" % sum(count.values()))
print(ans)
if sum(page_diversity[ans].values()) >= 5 and len(
page_diversity[ans]) == 1:
page = page_diversity[ans].keys()[0]
print("Autoassigning %s to %s" % (ans, page))
else:
page = simple_menu([x[0] for x in choices], tf._index,
[x[1] for x in choices])
if page:
for query in count:
for question in d.questions_by_answer(query):
if not question.page:
al.remember(question.qnum, page)
print(
"%i\t%s" %
(question.qnum, question.text[max(question.text)]))
else:
for query in count:
for question in d.questions_by_answer(query):
if not question.page:
print(
"%i\t%s" %
(question.qnum, question.text[max(question.text)]))
al.dump(args.labels)
