o rZŽhN ã@sddlmZGdd„dƒZdS)é)Ú defaultdictc@sFeZdZdZddd„Zdd„Zddd „Zdd d „Zd d„Zdd„Z dS)Ú MinimalSeta¬ 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'. NcCsJtƒ|_tƒ|_ttƒ|_i|_|r!|D]\}}}| |||¡qdSdS)z¯ Create a new minimal set. :param parameters: The (context, target, display) tuples for the item :type parameters: list(tuple(str, str, str)) N)ÚsetÚ_targetsÚ _contextsrÚ_seenÚ _displaysÚadd)ÚselfÚ parametersÚcontextÚtargetÚdisplay©rúC/var/www/auris/lib/python3.10/site-packages/nltk/misc/minimalset.pyÚ__init__s þzMinimalSet.__init__cCs:|j| |¡|j |¡|j |¡||j||f<dS)a€ 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)rr rrr)r r r rrrrr &s  zMinimalSet.addécs‡‡fdd„ˆjDƒS)zÆ Determine which contexts occurred with enough distinct targets. :param minimum: the minimum number of distinct target forms :type minimum: int :rtype: list cs"g|] }tˆj|ƒˆkr|‘qSr)Úlenr)Ú.0Úc©Úminimumr rrÚ Ds"z'MinimalSet.contexts..)r)r rrrrÚcontexts<szMinimalSet.contextsÚcCs ||f|jvr|j||fS|S©N)r)r r r ÚdefaultrrrrFszMinimalSet.displaycCs.g}|jD]}| ||¡}|r| |¡q|Sr)rrÚappend)r r Úresultr ÚxrrrÚ display_allLs   €zMinimalSet.display_allcCs|jSr)r)r rrrÚtargetsTszMinimalSet.targetsr)r)r) Ú__name__Ú __module__Ú __qualname__Ú__doc__rr rrr r!rrrrr s    rN)Ú collectionsrrrrrrÚs