/h.SSKrSSKJr "SS\5rg)N)StemmerIc.\rSrSrSrSSjrSrSrSrg) RegexpStemmera A stemmer that uses regular expressions to identify morphological affixes. Any substrings that match the regular expressions will be removed. >>> from nltk.stem import RegexpStemmer >>> st = RegexpStemmer('ing$|s$|e$|able$', min=4) >>> st.stem('cars') 'car' >>> st.stem('mass') 'mas' >>> st.stem('was') 'was' >>> st.stem('bee') 'bee' >>> st.stem('compute') 'comput' >>> st.stem('advisable') 'advis' :type regexp: str or regexp :param regexp: The regular expression that should be used to identify morphological affixes. :type min: int :param min: The minimum length of string to stem cj[US5(d[R"U5nXlX lg)Npattern)hasattrrecompile_regexp_min)selfregexpmins H/var/www/auris/envauris/lib/python3.13/site-packages/nltk/stem/regexp.py__init__RegexpStemmer.__init__*s'vy))ZZ'F  cp[U5UR:aU$URRSU5$)N)lenr r sub)rwords rstemRegexpStemmer.stem0s. t9tyy K<<##B- -rc8SURR<S3$)Nz)r r)rs r__repr__RegexpStemmer.__repr__6s!$,,"6"6!9;;r)r r N)r) __name__ __module__ __qualname____firstlineno____doc__rrr__static_attributes__rrrrs6 . r(s ")