I am trying to use a TRE library in python to map input to an error.
It is important that it handles utf-8 encoded strings well.
Example: The
German capital is Berlin, but the pronunciation is the same if people write “Bärlin”
It still works, but if the non-ASCII character is in the first or second position of the detected string, neither the range nor the detected string itself is correct.
import tre
def apro_match(word, list):
fz = tre.Fuzzyness(maxerr=3)
pt = tre.compile(word)
for i in l:
m = pt.search(i,fz)
if m:
print m.groups()[0],' ', m[0]
if __name__ == '__main__':
string1 = u'Berlín'.encode('utf-8')
string2 = u'Bärlin'.encode('utf-8')
string3 = u'B\xe4rlin'.encode('utf-8')
string4 = u'Berlän'.encode('utf-8')
string5 = u'London, Paris, Bärlin'.encode('utf-8')
string6 = u'äerlin'.encode('utf-8')
string7 = u'Beälin'.encode('utf-8')
l = ['Moskau', string1, string2, string3, string4, string5, string6, string7]
print '\n'*2
print "apro_match('Berlin', l)"
print "="*20
apro_match('Berlin', l)
print '\n'*2
print "apro_match('.*Berlin', l)"
print "="*20
apro_match('.*Berlin', l)
Output
apro_match('Berlin', l)
====================
(0, 7) Berlín
(1, 7) ärlin
(1, 7) ärlin
(0, 7) Berlän
(16, 22) ärlin
(1, 7) ?erlin
(0, 7) Beälin
apro_match('.*Berlin', l)
====================
(0, 7) Berlín
(0, 7) Bärlin
(0, 7) Bärlin
(0, 7) Berlän
(0, 22) London, Paris, Bärlin
(0, 7) äerlin
(0, 7) Beälin
Not for regular expression, '.*Berlin'it works fine, but for regular expression'Berlin'
u'Bärlin'.encode('utf-8')
u'B\xe4rlin'.encode('utf-8')
u'äerlin'.encode('utf-8')
don't work as well
u'Berlín'.encode('utf-8')
u'Berlän'.encode('utf-8')
u'London, Paris, Bärlin'.encode('utf-8')
u'Beälin'.encode('utf-8')
works as expected.
Is there something I'm doing wrong with the encoding? Do you know any trick?