print "-------------------------------------------"
docs = []
# Load the files
for i, f in enumerate(files):
sys.stdout.write( "\r%3i/%i %s"%( i+1, nb_files, '{:<70}'.format(f) ) )
sys.stdout.flush()
docs.append(Document(f))
corpus = Corpus(docs, termino)
print "\n\nCorpus preprocessing"
print "-------------------------------------------"
corpus.preprocess()
print "\n\nExtracting the keywords"
print "-------------------------------------------"
corpus.process()
if Config().testing:
print "\n\nResults (%s average)"%("Macro" if config.macro_average else "Micro")
print "-------------------------------------------"
corpus.results()
else:
print "\n"
if config.save_file != "":
print "\nResults saved in %s"%config.save_file
corpus.save(config.save_file)
