+ PrintRapport(self, self.corpus, self.parametres)
+
+class TgenProf(AnalyseText):
+ def __init__(self, ira, corpus, parametres, cluster_size):
+ self.ira = ira
+ self.corpus = corpus
+ self.parametres = parametres
+ self.pathout = PathOut(dirout = self.parametres['pathout'])
+ self.cluster_size = [len(classe) for classe in corpus.lc]
+ self.doanalyse()
+
+ def doanalyse(self):
+ self.tgen = TGen(path = self.parametres['tgenpath'], encoding = self.ira.syscoding)
+ self.tgen.read(self.tgen.path)
+ #self.parametres['etoiles'].sort()
+ self.parametres['tgeneff'] = os.path.join(self.parametres['pathout'], 'tgeneff.csv')
+ tgenst = self.corpus.make_tgen_profile(self.tgen.tgen, self.corpus.lc)
+ clnames = ['cluster_%03d' % i for i in range(1, len(self.cluster_size) + 1)]
+ et = dict(list(zip(clnames, self.cluster_size)))
+ tgenst = dict([[line[0], dict(list(zip(clnames, line[1:])))] for line in tgenst])
+ self.tgen.writetable(self.parametres['tgeneff'], tgenst, et)
+ self.parametres['tgenspec'] = os.path.join(self.parametres['pathout'], 'tgenchi2.csv')
+ self.parametres['tgenlemeff'] = os.path.join(self.parametres['pathout'], 'tgenlemeff.csv')
+ self.parametres['tgenlemspec'] = os.path.join(self.parametres['pathout'], 'tgenlemchi2.csv')
+ tgenlemeff = dict([[lem, dict(list(zip(clnames, self.corpus.tgenlem[lem])))] for lem in self.corpus.tgenlem])
+ self.tgen.writetable(self.parametres['tgenlemeff'], tgenlemeff, et)
+ self.Rscript = TgenProfScript(self)
+ self.Rscript.make_script()
+ self.Rscript.write()
+ self.doR(self.Rscript.scriptout, dlg = False, message = 'R...')
+
+
+class ReDoProfile(AnalyseText):
+
+ def __init__(self, ira, corpus, analyses, parametres):
+ self.ira = ira
+ self.corpus = corpus
+ self.parametres = parametres
+ self.analyse = analyse
+ self.pathout = PathOut(dirout = self.parametres['pathout'])
+ #self.cluster_size = [len(classe) for classe in corpus.lc]
+ self.doanalyse()
+
+ def Rscript(self) :
+ script = ReDoProfScript(self)