class Plagiarism:
def __init__(self,text):
self.ng=NGram()
file = open(text,"r")
linea = file.readline()
while linea != '':
if linea != '\n':
self.ng.add(linea)
linea = file.readline()
self.lsn=list(self.ng);
file.close()
def verify(self,text_compare):
results = []
dictio = []
file2 = open(text_compare,"r")
linea2 = file2.readline()
while linea2 != '':
if linea2 != '\n':
dictio += [self.ng.items_sharing_ngrams(linea2)]
compares = 0.0
for parrafo in self.lsn:
comp = NGram.compare(parrafo,linea2)
if compares < comp:
compares = comp
results += [compares]
linea2 = file2.readline()
file2.close()
major_ocurrences=[]
for d in dictio:
major=0
for val in d.values():
if major<val:
major=val
major_ocurrences+=[major]
avg_perc=0.0
for r in results:
avg_perc+=r
avg_perc=avg_perc/len(results)
print("Mayor numero de ocurrencias por parrafo del texto copia: "+repr(major_ocurrences))
print("Porcentaje Similitud: "+repr(avg_perc))
