def create_sent_report(self, src: sent.Sentence,
output: sent.ReadableSentence,
attentions: np.ndarray, ref_file: Optional[str],
**kwargs) -> None:
"""
Create report.
Args:
src: source-side input
output: generated output
attentions: attention matrices
ref_file: path to reference file
**kwargs: arguments to be ignored
"""
self.cur_sent_no += 1
if self.max_num_sents and self.cur_sent_no > self.max_num_sents: return
reference = utils.cached_file_lines(ref_file)[output.idx]
idx = src.idx
self.add_sent_heading(idx)
src_tokens = src.str_tokens() if isinstance(
src, sent.ReadableSentence) else []
trg_tokens = output.str_tokens()
src_str = src.sent_str() if isinstance(src,
sent.ReadableSentence) else ""
trg_str = output.sent_str()
self.add_charcut_diff(trg_str, reference)
self.add_fields_if_set({"Src": src_str})
self.add_atts(
attentions,
src.get_array() if isinstance(src, sent.ArraySentence) else
src_tokens, trg_tokens, idx)
self.finish_sent()
def create_sent_report(self,
src: sent.Sentence,
output: sent.ReadableSentence,
ref_file: Optional[str] = None,
**kwargs) -> None:
"""
Create report.
Args:
src: source-side input
output: generated output
ref_file: path to reference file
**kwargs: arguments to be ignored
"""
reference = utils.cached_file_lines(ref_file)[output.idx]
trg_str = output.sent_str()
if isinstance(src, sent.ReadableSentence):
src_str = src.sent_str()
self.src_sents.append(src_str)
self.hyp_sents.append(trg_str)
self.ref_sents.append(reference)