03b8bb0b05fbc75e2e79b8b782790d5b07cf7947,nala/learning/postprocessing.py,PostProcessing,process,#PostProcessing#Any#,13

Before Change

                for regex in regex_patterns:
                    for match in regex.finditer(part.text):
                        offset = (match.start(), match.end(), part_id, "e_2", doc_id)
                        matched_text = part.text[match.start():match.end()]

                        // TODO Refactor into regex instead of check
                        try:
                            space_before = part.text[match.start() - 1] == " "

After Change

                for regex in regex_patterns:
                    for match in regex.finditer(part.text):
                        start = match.start(1)
                        end = match.end(1)
                        offset = (start, end, part_id, "e_2", doc_id)
                        matched_text = part.text[start:end]

                        if not is_overlapping(offset, existing_predictions):

Instances