def __init__(self, options) :
self.options = options
self.dic = dico.dico(self.options.dico)
self.jo = joueur.joueurs()
self.categ_vote = ('restart', 'next', 'chrono')
self.delta_calllater = 1
self.votes = {}
self.votants = {}
# le score des mots voisins
point = point * multmot + totv
# plus la prime de scrabble éventuele de 50 points
if scrab :
point += 50
return point, mot_nonex
if __name__ == '__main__' :
import coord
import dico
import tirage
d = dico.dico("../dic/ods5.dawg")
g = grille()
t = tirage.tirage("TETESAU")
c = coord.coord()
c.fromstr("H8")
m = "TATES"
controle = g.controle(c, m, t)
print controle
if controle <= 0 :
print g.point(c, m, controle, d)
g.pose(c, m)
print g
t = tirage.tirage("AEPESTU")
c.fromstr("7H")
#! /usr/bin/env python3
# Time-stamp: <2018-11-21 06:59:24 cp983411>
import subprocess
import string
import pandas as pd
import numpy as np
import dico
import lzma
a = string.ascii_lowercase
#################
frdic = dico.dico()
frdic.import_csv('french-lexique-reduced.tsv')
frlex = pd.read_csv('french-lexique-reduced.tsv', sep='\t')
frlex6 = frlex.loc[frlex.ortho.str.len() == 6]
frfreqs = frlex6.groupby('ortho').sum()
##################
endic = dico.dico()
endic.import_csv('english-blp-reduced.tsv')
enlex = pd.read_csv('english-blp-reduced.tsv', sep='\t')
enlex6 = enlex.loc[enlex.ortho.str.len() == 6]
enfreqs = enlex6.groupby('ortho').sum()
##################
for l1 in a:
'10_freqlivres': 'freql'})
# put a threshold on freq (?)
# b = b[b.freql > .2]
b.to_csv(outputfile, sep='\t', index=False)
def save_dict(d, filename):
""" save the dictionary 'd' as a csv file (tab separated) with two columns: key, value. """
pd.DataFrame.from_dict(d, orient='index').sort_values(by=0, ascending=False).to_csv(filename, sep='\t', header=False, float_format='%f')
if __name__ == '__main__':
if not op.isfile(FREQFILE):
create_freq_file(LEXIQUE, FREQFILE)
mydic = dico.dico()
mydic.import_csv(FREQFILE)
letters = mydic.letter_distribution()
# pp.pprint(letters)
save_dict(letters, 'letters.csv')
bigrams = mydic.bigram_distribution()
# pp.pprint(bigrams)
save_dict(bigrams, 'bigrams.csv')
openbigrams = mydic.openbigram_distribution()
#pp.pprint(openbigrams)
save_dict(openbigrams, 'openbigrams.csv')
trigrams = mydic.trigram_distribution()
