def text2vec(text, isHtml):
if isHtml:
seqs = preprocessor.processHTMLNoCamel(text)
else:
seqs = preprocessor.preprocessNoCamel(text)
res = []
for seq in seqs:
for word in seq:
try:
res.append(wordModel[word])
except KeyError:
res.append(np.zeros(VECTOR_SIZE))
return res
def main(repoId, i):
# filename = raw_input('**Please input the file name:')
filename = "traincase%d-%d.dat" % (repoId, i)
mapList = read_data(filename, repoId)
print '\033[1;33;0m', filename, ':', len(mapList), '\033[0m'
index = 0
while True:
print '\033[1;33;0m====================================================================================================\033[0m'
# index = int(raw_input('**Please input the index:'))
goOn = int(raw_input('** continue?'))
if goOn == 0:
return
print '\033[1;31;0m----[', mapList[index]['type'], ']----\033[0m'
print '\033[1;31;0m--------commit--------\033[0m'
print mapList[index]['commit']
print preprocessor.preprocessNoCamel(mapList[index]['commit'])
print '\033[1;31;0m--------title--------\033[0m'
print mapList[index]['issuetitle']
print preprocessor.preprocessNoCamel(mapList[index]['issuetitle'])
print '\033[1;31;0m--------issue body--------\033[0m'
print '\033[4;32;0m', mapList[index]['issue'], '\033[0m'
print preprocessor.processHTMLNoCamel(mapList[index]['issue'])
index = index + 1