import locale
import sys
from time import time
-from functions import decoupercharact, ReadDicoAsDico, DoConf
+from functions import decoupercharact, ReadDicoAsDico, DoConf, ReadLexique
import re
import sqlite3
import itertools
from uuid import uuid4
from chemins import PathOut
from dialog import CorpusPref
-from functions import ReadLexique, ReadDicoAsDico
from colors import colors
import datetime
class Corpus :
"""Corpus class
- list of uci
-
+ list of text
"""
def __init__(self, parent, parametres = {}, read = False) :
self.parent = parent
table_uce[uces[uce]][i] = 1
table_uce.insert(0, list_act)
return table_uce
+
+ def make_pondtable_with_classe(self, uces, list_act) :
+ table_uce = [[0 for val in list_act] for line in range(0,len(uces))]
+ uces = dict([[uce, i] for i, uce in enumerate(uces)])
+ for i, lem in enumerate(list_act) :
+ uceseff = self.getlemuceseff(lem)
+ lemuces = list(set(uceseff.keys()).intersection(uces))
+ for uce in lemuces :
+ table_uce[uces[uce]][i] = uceseff[uce]
+ table_uce.insert(0, list_act)
+ return table_uce
def parse_active(self, gramact, gramsup = None) :
log.info('parse actives')
allactives = [[self.lems[lem].freq, lem] for lem in self.lems if self.lems[lem].act == key and self.lems[lem].freq >= 3]
self.activenb = len(allactives)
allactives = sorted(allactives, reverse = True)
+ if self.activenb == 0 :
+ return [], 0
if len(allactives) <= nbmax :
log.info('nb = %i - eff min = %i ' % (len(allactives), allactives[-1][0]))
return [val[1] for val in allactives], allactives[-1][0]
ucinb = corpus.getucinb()
ucisize = corpus.getucisize()
ucimean = float(sum(ucisize))/float(ucinb)
- detoile = corpus.make_etoiles_dict()
-
+ detoile = corpus.make_etoiles_dict()
class Uci :
def __init__(self, iduci, line, paraset = None) :