/hN $SSKJr "SS5rg)) defaultdictcH\rSrSrSrS SjrSrS SjrS SjrSr S r S r g) MinimalSet a Find contexts where more than one possible target value can appear. E.g. if targets are word-initial letters, and contexts are the remainders of words, then we would like to find cases like "fat" vs "cat", and "training" vs "draining". If targets are parts-of-speech and contexts are words, then we would like to find cases like wind (noun) 'air in rapid motion', vs wind (verb) 'coil, wrap'. Nc[5Ul[5Ul[[5Ul0UlU(aUHup#nUR X#U5 M gg)z Create a new minimal set. :param parameters: The (context, target, display) tuples for the item :type parameters: list(tuple(str, str, str)) N)set_targets _contextsr_seen _displaysadd)self parameterscontexttargetdisplays L/var/www/auris/envauris/lib/python3.13/site-packages/nltk/misc/minimalset.py__init__MinimalSet.__init__sN  %  ,6('2-7 cURURU5 URRU5 URRU5 X0RX4'g)a8 Add a new item to the minimal set, having the specified context, target, and display form. :param context: The context in which the item of interest appears :type context: str :param target: The item of interest :type target: str :param display: The information to be reported for each item :type display: str N)r r r r r )rrrrs rr MinimalSet.add&sR 7' 7# &!-4()rcURVs/sH#n[URU5U:dM!UPM% sn$s snf)z Determine which contexts occurred with enough distinct targets. :param minimum: the minimum number of distinct target forms :type minimum: int :rtype: list )r lenr )rminimumcs rcontextsMinimalSet.contexts<s4 >>K>aSA-?7-J>KKKs <<cHX4UR;aURX4$U$N)r )rrrdefaults rrMinimalSet.displayFs(   .>>7"34 4Nrc/nURH.nURX5nU(dMURU5 M0 U$r )r rappend)rrresultrxs r display_allMinimalSet.display_allLs;mmF W-Aq a $ rcUR$r )r )rs rtargetsMinimalSet.targetsTs }}r)r r r r r ))) __name__ __module__ __qualname____firstlineno____doc__rr rrr'r*__static_attributes__rrrr s&3 4,L rrN) collectionsrrr4rrr6s$JJr