3 ­d£ 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|_|rFx |D]\}}}|j|||ƒq*WdS)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)ÚselfZ parametersÚcontextÚtargetÚdisplay©rú4/tmp/pip-build-v9q4h5k9/nltk/nltk/misc/minimalset.pyÚ__init__s zMinimalSet.__init__cCs:|j|j|ƒ|jj|ƒ|jj|ƒ||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 r rrrr &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 Dsz'MinimalSet.contexts..)r)r rr)rr rÚcontexts<szMinimalSet.contextsÚcCs$||f|jkr|j||fS|SdS)N)r)r r r Údefaultrrrr FszMinimalSet.displaycCs2g}x(|jD]}|j||ƒ}|r |j|ƒq W|S)N)rr Úappend)r r Úresultr ÚxrrrÚ display_allLs   zMinimalSet.display_allcCs|jS)N)r)r rrrÚtargetsTszMinimalSet.targets)N)r)r) Ú__name__Ú __module__Ú __qualname__Ú__doc__rr rr rrrrrrr s   rN)Ú collectionsrrrrrrÚs