def _parse_suggestion(line):
def extract(start, end):
start = line.index(start) + len(start)
end = line.index(end, start)
return line[start:end]
return Namespace(
memory=int(extract('ScoreEntry{memory=', ', language=')),
language=extract(', language=', ', sentence='),
sentence=extract(', sentence=[', '], translation=[').replace(', ', ' '),
translation=extract('], translation=[', '], score=').replace(', ', ' '),
score=float(extract('], score=', '}'))
)
def __exit__(self, exc_type, exc_val, exc_tb):
for line in this.log_lines_iter(start=self._start):
if 'Translation received from neural decoder:' not in line:
continue
lines = line.strip().splitlines(keepends=False)
sentence = lines[1][lines[1].index(' = ') + 3:]
translation = lines[2][lines[2].index(' = ') + 3:]
# alignment is skipped
suggestions = [self._parse_suggestion(x) for x in lines[5:-1]]
self.translation = Namespace(sentence=sentence, translation=translation, suggestions=suggestions)
break