def OnSubText(self, corpus, parametres = None):
if corpus is None :
corpus = self.tree.getcorpus()
def OnSubText(self, corpus, parametres = None):
if corpus is None :
corpus = self.tree.getcorpus()
self.history.add(corpus.parametres)
self.tree.OnItemAppend(corpus.parametres)
OpenAnalyse(self, corpus.parametres)
self.history.add(corpus.parametres)
self.tree.OnItemAppend(corpus.parametres)
OpenAnalyse(self, corpus.parametres)
- self.Text = SimiTxt(self, corpus, parametres = {'type': 'simitxt'}, dlg = progressbar(self, 3))
+ self.Text = SimiTxt(self, corpus, parametres = {'type': 'simitxt'}, dlg = 3)
- self.Text = WordCloud(self, corpus, parametres = {'type' : 'wordcloud'}, dlg = progressbar(self, 3))
+ self.Text = WordCloud(self, corpus, parametres = {'type' : 'wordcloud'}, dlg = 3)
if self.Text.val == wx.ID_OK :
PlaySound(self)
except :
BugReport(self)
def OnClusterCloud(self, corpus, parametres = None) :
if self.Text.val == wx.ID_OK :
PlaySound(self)
except :
BugReport(self)
def OnClusterCloud(self, corpus, parametres = None) :
- self.Text = ClusterCloud(self, corpus, parametres = parametres, dlg = progressbar(self, 3))
+ self.Text = ClusterCloud(self, corpus, parametres = parametres, dlg = 3)
- self.Text = Stat(self, corpus, parametres = {'type': 'stat'}, dlg = progressbar(self, 7))
+ self.Text = Stat(self, corpus, parametres = {'type': 'stat'}, dlg = 7)
- self.Text = Lexico(self, corpus, parametres = {'type' : 'spec'}, dlg = progressbar(self, 3))
+ self.Text = Lexico(self, corpus, parametres = {'type' : 'spec'}, dlg = 3)
#RunAnalyse(self, corpus, Alceste, OptAlceste)
if corpus is None :
corpus = self.tree.getcorpus()
#RunAnalyse(self, corpus, Alceste, OptAlceste)
if corpus is None :
corpus = self.tree.getcorpus()
- self.Text = Reinert(self, corpus, parametres = {'type': 'alceste'}, dlg = progressbar(self,6))
+ self.Text = Reinert(self, corpus, parametres = {'type': 'alceste'}, dlg = 6)
- self.Text = AnalysePam(self, corpus, parametres = {'type' : 'pamtxt'}, dlg = progressbar(self,6))
+ self.Text = AnalysePam(self, corpus, parametres = {'type' : 'pamtxt'}, dlg = 6)