def print_commons_marked(self, diff_file):
"""TODO decribe what this method does.
Keyword arguments:
diff_file -- TODO describe what this argument is about
"""
rows = self._parse_src()
marked = Wordanalyzer.get_normalized_words(self._reader.parse(diff_file))
self.print_header_row(rows[0].get_column_format() if len(rows) > 0 else self._column_format.split('|'))
for row in rows:
normalized = Translator.normalize_word(row.original_word)
if normalized in marked:
if len(row.tags) > 0:
row.tags = 'marked %s' % row.tags
else:
row.tags = 'marked'
#end if
marked.remove(normalized)
print('Debug: tags = %s' % row.tags)
#end if
self.print_csv_row(row)
#end for
for word in marked:
self.print_csv_row([word, '', '', '', '', '', '', 'new'])
def print_new_words_es(self):
"""TODO decribe what this method does."""
for row in self._parse_src():
words = set([Translator.normalize_word(word) for word in Translator.resolve_word_list(row.original_word)])
if words <= wordlist_es.WORD_COLLECTION_ES: # words is subset from WORD_COLLECTION
print('Removed entry %s (Normalized: %s)' % (row.original_word, ', '.join(words)))
else:
self.print_csv_row(row)
def get_normalized_words(rows): return set([Translator.normalize_word(row.original_word) for row in rows])
