- dlg = progressbar(self, 2)
- corpus = self.Source.corpus
- uces = corpus.lc[self.cl-1]
- dlg.Update(1, u'Tableau...')
- #tab = corpus.make_table_with_classe(uces, self.la)
- pathout = ConstructPathOut(self.Source.pathout.dirout + '/' , 'simi_%s' % word)
- self.filename = os.path.join(pathout,'mat01.csv')
- dlg.Update(2, u'Ecriture...')
- #corpus.write_tab(tab, self.filename)
- #del tab
- corpus.make_and_write_sparse_matrix_from_classe(self.la, uces, self.filename)
- dlg.Destroy()
- paramsimi = {'coeff' : 0,
- 'layout' : 2,
- 'type' : 1,
- 'arbremax' : 0,
- 'coeff_tv' : 1,
- 'coeff_tv_nb' : 0,
- 'tvprop' : 0,
- 'tvmin' : 5,
- 'tvmax' : 30,
- 'coeff_te' : 1,
- 'coeff_temin' : 1,
- 'coeff_temax' : 10,
- 'label_v': 1,
- 'label_e': 0,
- 'vcex' : 1,
- 'vcexmin' : 10,
- 'vcexmax' : 25,
- 'cex' : 10,
- 'seuil_ok' : 1,
- 'seuil' : 1,
- 'cols' : (255,0,0),
- 'cola' : (200,200,200),
- 'width' : 600,
- 'height' : 600,
- 'first' : True,
- 'keep_coord' : True,
- 'alpha' : 20,
- 'film': False,
- }
- self.tableau = Tableau(self.parent, '')
- self.tableau.listactives = self.la
- self.tableau.actives = {}
- for i, val in enumerate(self.la) :
- self.tableau.actives[val] = [self.lfreq[i]]
- DoSimi(self, param = paramsimi, fromprof = ffr(self.filename), pathout = pathout, wordgraph = word)
+ if self.tmpchi is None :
+ self.tmpchi = tempfile.mktemp(dir=self.Source.parent.TEMPDIR)
+ with open(self.tmpchi, 'w') as f:
+ f.write('\n'.join([str(val) for val in self.lchi]))
+ index = self.la.index(word)
+ parametres = {'type' : 'clustersimitxt',
+ 'pathout' : self.Source.parametres['pathout'],
+ 'word' : index ,
+ 'lem' : self.Source.parametres['lem'],
+ 'tmpchi' : self.tmpchi}
+ #try :
+ self.parent.SimiFromCluster(self.parent, self.Source.corpus, self.la, self.cl - 1, parametres = parametres, dlg = progressbar(self, 4))
+ #except :
+ # print 'not acitve'