def merge_sentences2(input_dict):
"""
Merges the input sentences in XML according to the specified method.
"""
method = input_dict['method']
merged_sen, id_to_sent = set(), {}
ids_list = []
for i, sentsXML in enumerate(input_dict['sentences']):
sents = nlp.parse_def_sentences2(sentsXML)
ids = set(map(lambda x: x['id'], sents))
ids_list.append(ids)
# Save the map from id to sentence
for sent in sents:
id_to_sent[sent['id']] = sent
if i == 0 and method != 'intersection_two':
merged_sen = ids
if method == 'union':
merged_sen = merged_sen | ids
elif method == 'intersection':
merged_sen = merged_sen & ids
elif method == 'intersection_two':
# Skip the current set of sentences
# and intersect it with the others.
for ids_alt in ids_list[:i] + ids_list[i + 1:]:
# As long as (at least) two sets agree with a sentence it
# will be in the resulting set.
merged_sen = merged_sen | (ids_alt & ids)
return {
'merged_sentences':
nlp.sentences_to_xml2([id_to_sent[sid] for sid in merged_sen])
}
def merge_sentences2(input_dict):
"""
Merges the input sentences in XML according to the specified method.
"""
method = input_dict["method"]
merged_sen, id_to_sent = set(), {}
ids_list = []
for i, sentsXML in enumerate(input_dict["sentences"]):
sents = nlp.parse_def_sentences2(sentsXML)
ids = set(map(lambda x: x["id"], sents))
ids_list.append(ids)
# Save the map from id to sentence
for sent in sents:
id_to_sent[sent["id"]] = sent
if i == 0 and method != "intersection_two":
merged_sen = ids
if method == "union":
merged_sen = merged_sen | ids
elif method == "intersection":
merged_sen = merged_sen & ids
elif method == "intersection_two":
# Skip the current set of sentences
# and intersect it with the others.
for ids_alt in ids_list[:i] + ids_list[i + 1 :]:
# As long as (at least) two sets agree with a sentence it
# will be in the resulting set.
merged_sen = merged_sen | (ids_alt & ids)
return {"merged_sentences": nlp.sentences_to_xml2([id_to_sent[sid] for sid in merged_sen])}
def definition_sentences_viewer2(request, input_dict, output_dict, widget):
"""
Parses the input XML and displays the definition sentences given as input.
@author: Anze Vavpetic, 2012
"""
ids_sentence = input_dict["ids_sentence"] == "true"
ids_article = input_dict["ids_article"] == "true"
text_sentence = input_dict["text_sentence"] == "true"
sentences = nlp.parse_def_sentences2(input_dict['candidates'])
return render(request, 'visualizations/def_sentences2.html',{'widget' : widget, 'sentences' : sentences, 'ids_sentence': ids_sentence, 'ids_article': ids_article, 'text_sentence':text_sentence})
