ó ù`]c@s*ddlmZdefd„ƒYZdS(iÿÿÿÿ(t defaultdictt MinimalSetcBsMeZdZd d„Zd„Zdd„Zdd„Zd„Zd„Z RS( s¬ 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'. cCsjtƒ|_tƒ|_ttƒ|_i|_|rfx-|D]"\}}}|j|||ƒq=WndS(s¯ Create a new minimal set. :param parameters: The (context, target, display) tuples for the item :type parameters: list(tuple(str, str, str)) N(tsett_targetst _contextsRt_seent _displaystadd(tselft parameterstcontextttargettdisplay((s3lib/python2.7/site-packages/nltk/misc/minimalset.pyt__init__s   cCsK|j|j|ƒ|jj|ƒ|jj|ƒ||j||fs