def log_short_repetitions(maxtokens, minrepetitions):
import semanticfilter
numf = lambda num: (
("%d" if type(num) is int else "%0.20f") % num).replace(',', '.')
numl = lambda vl: list(map(numf, list(vl)))
with open(os.path.join("Output", subdir, "shortterms.csv"),
'w',
encoding='utf-8') as csvfile:
fwtr = csv.writer(csvfile,
delimiter=';',
quotechar='"',
quoting=csv.QUOTE_MINIMAL,
lineterminator='\n')
fwtr.writerow(['Total groups:', numf(len(clones.clonegroups))])
fwtr.writerow([
'N tokens', 'Occurs times', 'Common Phrase', 'Words', 'Plain Text',
'Text'
])
for cg in clones.clonegroups:
if cg.ntokens <= maxtokens and len(
cg.instances) >= minrepetitions and not cg.containsNoWords(
):
words = ' '.join(
semanticfilter.cleanwords(cg.plain_text(), True))
fwtr.writerow([
numf(cg.ntokens),
numf(len(cg.instances)),
numf(int(cg.containsNoSemantic())), words,
cg.plain_text().replace('\r', '').replace('\n', ' '),
cg.text().strip().replace('\r', '').replace('\n', ' ')
])
def containsNoWords(self):
if self.containsNoText():
return True
elif len(semanticfilter.cleanwords(self.plain_text())) == 0:
return True
else:
return False
def log_short_repetitions(maxtokens, minrepetitions):
import semanticfilter
numf = lambda num: (("%d" if type(num) is int else "%0.20f") % num).replace(',', '.')
numl = lambda vl: list(map(numf, list(vl)))
with open(os.path.join("Output", subdir, "shortterms.csv"), 'w') as csvfile:
fwtr = csv.writer(csvfile, delimiter=';', quotechar='"', quoting=csv.QUOTE_MINIMAL, lineterminator='\n')
fwtr.writerow(['Total groups:', numf(len(clones.clonegroups))])
fwtr.writerow(['N tokens', 'Occurs times', 'Common Phrase', 'Words', 'Plain Text', 'Text'])
for cg in clones.clonegroups:
if cg.ntokens <= maxtokens and len(cg.instances) >= minrepetitions and not cg.containsNoWords():
words = ' '.join(semanticfilter.cleanwords(cg.plain_text(), True))
fwtr.writerow([
numf(cg.ntokens),
numf(len(cg.instances)),
numf(int(cg.containsNoSemantic())),
words,
cg.plain_text().replace('\r', '').replace('\n', ' '),
cg.text().strip().replace('\r', '').replace('\n', ' ')
])
