³ò ’B_Kc @s¶ddkZddkZddklZyddkZWnej o dZnXdadd„Zd„Z d„Z d„Z d„Z d„Z ed joe ƒe ƒndS( iÿÿÿÿN(t find_binaryc Cs+td|ddgddgddƒadS(Nttadmtenv_varstTADM_DIRt binary_namesturlshttp://tadm.sf.net(Rt _tadm_bin(tbin((s(/p/zhu/06/nlp/nltk/nltk/classify/tadm.pyt config_tadms    c Cs |iƒ}x|D]…\}}|idt|ƒƒx_|D]W}|i||ƒ}|idt||jƒt|ƒdid„|Dƒƒfƒq=WqWdS(sm Generate an input file for C{tadm} based on the given corpus of classified tokens. @type train_toks: C{list} of C{tuples} of (C{dict}, C{str}) @param train_toks: Training data, represented as a list of pairs, the first member of which is a feature dictionary, and the second of which is a classification label. @type encoding: L{TadmEventMaxentFeatureEncoding} @param encoding: A feature encoding, used to convert featuresets into feature vectors. @type stream: C{stream} @param stream: The stream to which the C{tadm} input file should be written. s%d s %d %d %s t cssx|]}d|VqWdS(s%d %dN((t.0tu((s(/p/zhu/06/nlp/nltk/nltk/classify/tadm.pys 6sN(tlabelstwritetlentencodetinttjoin(t train_tokstencodingtstreamR t featuresettlabelt known_labeltv((s(/p/zhu/06/nlp/nltk/nltk/classify/tadm.pytwrite_tadm_files  !cCs@g}x'|D]}|it|iƒƒƒq Wti|dƒS(s™ Given the stdout output generated by C{tadm} when training a model, return a C{numpy} array containing the corresponding weight vector. td(tappendtfloattstriptnumpytarray(t paramfiletweightstline((s(/p/zhu/06/nlp/nltk/nltk/classify/tadm.pytparse_tadm_weights8s cCs™t|tƒotdƒ‚ntdjo tƒntg|}ti|dti ƒ}|i ƒ\}}|i djoH|GHt dƒ‚ndS(s; Call the C{tadm} binary with the given arguments. s args should be a list of stringststdoutistadm command failed!N( t isinstancet basestringt TypeErrorRtNoneRt subprocesstPopentsysR$t communicatet returncodetOSError(targstcmdtpR$tstderr((s(/p/zhu/06/nlp/nltk/nltk/classify/tadm.pyt call_tadmCs   cCs3ddkl}ddkl}||iƒ}dS(Niÿÿÿÿ(t names_demo(tTadmMaxentClassifier(tnltk.classify.utilR4tnltk.classify.maxentR5ttrain(R4R5t classifier((s(/p/zhu/06/nlp/nltk/nltk/classify/tadm.pyR4Wsc Csddk}ddkl}ddkl}hdd<dd<dd %d( R+R7R:tnltk.classify.tadmRR8R$trangetlengthtdescribe(R+R:RttokensRti((s(/p/zhu/06/nlp/nltk/nltk/classify/tadm.pyt encoding_demo\s $$3t__main__(R+R)tnltk.internalsRRt ImportErrorR(RRRR#R3R4RHt__name__(((s(/p/zhu/06/nlp/nltk/nltk/classify/tadm.pyss