dial.Destroy()
self.corpus.get_stat_by_cluster(fileout)
msg = u"Fini !"
- dlg = wx.MessageDialog(self.parent, msg, _(u"Stat by cluster").decode('utf8'), wx.OK | wx.NO_DEFAULT | wx.ICON_INFORMATION)
+ dlg = wx.MessageDialog(self.parent, msg, _(u"Stat by cluster").decode('utf8'), wx.OK | wx.ICON_INFORMATION)
dlg.CenterOnParent()
if dlg.ShowModal() == wx.ID_OK :
dlg.Destroy()
""" % datetime.datetime.now().ctime()
if istxt :
totocc = corpus.gettotocc()
- txt += ': '.join([_(u'Number of texts'), u'%i%s' % (corpus.getucinb(), sep)])
- txt += ': '.join([_(u'Number of text segments'), '%i%s' % (corpus.getucenb(), sep)])
- txt += ': '.join([_(u'Number of forms'), '%i%s' % (len(corpus.formes), sep)])
- txt += ': '.join([_(u'Number of occurrences'), '%i%s' % (totocc, sep)])
+ txt += ': '.join([_(u'Number of texts').decode('utf8'), u'%i%s' % (corpus.getucinb(), sep)])
+ txt += ': '.join([_(u'Number of text segments').decode('utf8'), '%i%s' % (corpus.getucenb(), sep)])
+ txt += ': '.join([_(u'Number of forms').decode('utf8'), '%i%s' % (len(corpus.formes), sep)])
+ txt += ': '.join([_(u'Number of occurrences').decode('utf8'), '%i%s' % (totocc, sep)])
#txt += u'moyenne d\'occurrences par forme: %f%s' % (float(totocc) / float(len(self.corpus.formes)), sep)
- txt += ': '.join([_(u'Number of lemmas'), '%i%s' % (len(corpus.lems), sep)])
- txt += ': '.join([_(u'Number of active forms'), '%i%s' % (corpus.getactivesnb(1), sep)])
- txt += ': '.join([_(u'Number of supplementary forms'), '%i%s' % (corpus.getactivesnb(2), sep)])
- txt += ' >= '.join([_(u'Number of active forms with a frequency'), '%i: %i%s' % (parametres['eff_min_forme'], parametres['nbactives'], sep)])
- txt += ': '.join([_(u'Mean of forms by segment'), '%f%s' % (float(totocc) / float(corpus.getucenb()), sep)])
+ txt += ': '.join([_(u'Number of lemmas').decode('utf8'), '%i%s' % (len(corpus.lems), sep)])
+ txt += ': '.join([_(u'Number of active forms').decode('utf8'), '%i%s' % (corpus.getactivesnb(1), sep)])
+ txt += ': '.join([_(u'Number of supplementary forms').decode('utf8'), '%i%s' % (corpus.getactivesnb(2), sep)])
+ txt += ' >= '.join([_(u'Number of active forms with a frequency').decode('utf8'), '%i: %i%s' % (parametres['eff_min_forme'], parametres['nbactives'], sep)])
+ txt += ': '.join([_(u'Mean of forms by segment').decode('utf8'), '%f%s' % (float(totocc) / float(corpus.getucenb()), sep)])
if 'tailleuc1' in parametres :
if parametres['classif_mode'] == 0 :
- txt += ': '.join([_(u'Size of rst1 / rst2'), '%i / %i - %i / %i%s' % (parametres['tailleuc1'], parametres['tailleuc2'], parametres['lenuc1'], parametres['lenuc2'], sep)])
+ txt += ': '.join([_(u'Size of rst1 / rst2').decode('utf8'), '%i / %i - %i / %i%s' % (parametres['tailleuc1'], parametres['tailleuc2'], parametres['lenuc1'], parametres['lenuc2'], sep)])
else :
self.Ucenb = self.nbind
- txt += ': '.join([_(u'Number of lines'), '%i%s' % (self.nbind, sep)])
- txt += ': '.join([_(u'Number of clusters'), '%i%s' % (self.clnb, sep)])
+ txt += ': '.join([_(u'Number of lines').decode('utf8'), '%i%s' % (self.nbind, sep)])
+ txt += ': '.join([_(u'Number of clusters').decode('utf8'), '%i%s' % (self.clnb, sep)])
if istxt :
- txt += ': '.join([_(u'Number of clusters'), '%i%s' % (parametres['clnb'], sep)])
+ txt += ': '.join([_(u'Number of clusters').decode('utf8'), '%i%s' % (parametres['clnb'], sep)])
if parametres['classif_mode'] == 0 or parametres['classif_mode'] == 1 :
- txt += ' '.join(['%i' % sum([len(cl) for cl in corpus.lc]), u'segments classified on', '%i (%.2f%%)%s' % (corpus.getucenb(), (float(sum([len(cl) for cl in corpus.lc])) / float(corpus.getucenb())) * 100, sep)])
+ txt += ' '.join(['%i' % sum([len(cl) for cl in corpus.lc]), _(u'segments classified on').decode('utf8'), '%i (%.2f%%)%s' % (corpus.getucenb(), (float(sum([len(cl) for cl in corpus.lc])) / float(corpus.getucenb())) * 100, sep)])
elif self.parametres['classif_mode'] == 2 :
- txt += ' '.join([u'%i' % sum([len(cl) for cl in corpus.lc]), 'texts classified on', '%i (%.2f%%)%s' % (corpus.getucinb(), (float(sum([len(cl) for cl in corpus.lc]))) / float(corpus.getucinb()) * 100, sep)])
+ txt += ' '.join([u'%i' % sum([len(cl) for cl in corpus.lc]), _(u'texts classified on').decode('utf8'), '%i (%.2f%%)%s' % (corpus.getucinb(), (float(sum([len(cl) for cl in corpus.lc]))) / float(corpus.getucinb()) * 100, sep)])
else :
- txt += ' '.join(['%i' % self.ucecla, 'line classified on', '%i (%.2f%%)%s' % (self.Ucenb, (float(self.ucecla) / float(self.Ucenb)) * 100, sep)])
+ txt += ' '.join(['%i' % self.ucecla, _(u'line classified on').decode('utf8'), '%i (%.2f%%)%s' % (self.Ucenb, (float(self.ucecla) / float(self.Ucenb)) * 100, sep)])
- txt += ''.join([sep, u'###########################', sep, _(u'time'), ' : %s' % parametres.get('time', ''), sep, u'###########################', sep])
+ txt += ''.join([sep, u'###########################', sep, _(u'time').decode('utf8'), ' : %s' % parametres.get('time', ''), sep, u'###########################', sep])
with open(self.pathout['pre_rapport'], 'w') as f :
f.write(txt)
self.param['width'] = dial.m_spinCtrl2.GetValue()
self.param['height'] = dial.m_spinCtrl1.GetValue()
self.param['type_dendro'] = dial.m_choice1.GetSelection()
- self.param['color_nb'] = dial.m_radioBox1.GetSelection()
- self.param['taille_classe'] = dial.m_checkBox1.GetValue()
- self.param['type_tclasse'] = dial.m_radioBox2.GetSelection()
self.param['svg'] = dial.choice_format.GetSelection()
+ if self.param['typedendro'] == 'classique' :
+ self.param['color_nb'] = dial.m_radioBox1.GetSelection()
+ self.param['taille_classe'] = dial.m_checkBox1.GetValue()
+ self.param['type_tclasse'] = dial.m_radioBox2.GetSelection()
def make_dendro(self, dendro = 'simple') :
if self.param['svg'] :
def ondendro(self, evt):
+ self.param['typedendro'] = 'classique'
dial = PrefDendro(self.ira, self.param)
val = dial.ShowModal()
if val == wx.ID_OK :
self.make_dendro()
def ondendrotexte(self, evt):
+ self.param['typedendro'] = 'texte'
dial = PrefDendro(self.ira, self.param)
val = dial.ShowModal()
if val == wx.ID_OK :
self.make_dendro(dendro = 'texte')
def ondendrocloud(self, evt):
+ self.param['typedendro'] = 'cloud'
dial = PrefDendro(self.ira, self.param)
val = dial.ShowModal()
if val == wx.ID_OK :
E(graph)$weight <- graph.simi$we.width
write.graph(graph, fileout, format = 'graphml')
#saveAsGEXF(graph, filepath = fileout)
- """ % (self.pathout['RData.RData'], self.parent.RscriptsPath['simi'], fileout)
+ """ % (ffr(self.pathout['RData.RData']), ffr(self.parent.RscriptsPath['simi']), fileout)
filetmp = tempfile.mktemp()
with open(filetmp, 'w') as f :
f.write(txt)
E(graph)$weight <- graph.simi$we.width
write.graph(graph, fileout, format = 'graphml')
#saveAsGEXF(graph, filepath = fileout)
- """ % (self.pathout['RData.RData'], self.parent.RscriptsPath['simi'], fileout)
+ """ % (ffr(self.pathout['RData.RData']), ffr(self.parent.RscriptsPath['simi']), fileout)
filetmp = tempfile.mktemp()
with open(filetmp, 'w') as f :
f.write(txt)