def reason_with_pytalk_FromText(text, qlist):
params = talk_params()
params.with_answerer = True
params.answers_by_rank = True
params.to_prolog = 1
talkans, thinkans = reason_with_Text(text, qlist, params)
return talkans, thinkans
def pdf_test():
d = '{"quiet" : true}'
fname = 'pdfs/cloudmis.pdf'
#t = Talker(from_pdf=fname,params=talk_params(from_json=d))
#t.show_all()
fname = 'pdfs/cloudmis.txt'
t = Talker(from_file=fname, params=talk_params(from_json=d))
t.show_all()
def runWithTextAlt(fname, wk, sk, filter):
params = talk_params()
params.top_sum = sk
params.max_sum = params.top_sum * (params.top_sum - 1) / 2
params.top_keys = wk
params.max_keys = 1 + 2 * params.top_keys
talker = Talker(from_file=fname, params=params)
ranked_sents = talker.get_summary()
keys = talker.get_keys()
def clean_sents():
for r, s, ws in ranked_sents:
yield ws
#print('!!!KEYS',keys)
#print('!!!SENT',list(clean_sents()))
keys = nice_keys(keys)
return (keys, clean_sents(), talker.g.number_of_nodes(),
talker.g.number_of_edges())
def reason_with_pytalk_FromFile(fname):
params = talk_params()
params.with_answerer = True
params.answers_by_rank = True
params.to_prolog = 1
talkans, thinkans = reason_with_File(fname, params)
return talkans, thinkans
for article in dataset['data']:
for i, paragraph in enumerate(article['paragraphs']):
fname = "dev/" + article['title'] + "_" + str(i) + ".txt"
conext = paragraph['context']
with wopen(fname) as fcontext:
fcontext.write(conext + "\n")
fcontext.close()
questions = paragraph['qas']
fqname = "dev/" + article['title'] + "_" + str(i) + "_quest.txt"
with wopen(fqname) as fquest:
for question in questions:
q = question['question']
fquest.write(q + "\n")
fquest.close()
def jtest():
d = '{"quiet" : false}'
fname = 'examples/test.txt'
t = Talker(from_file=fname, params=talk_params(from_json=d))
t.show_all()
def qtest():
d = {"quiet": False}
fname = 'examples/test.txt'
t = Talker(from_file=fname, params=talk_params(from_dict=d))
t.show_all()