def __iter__()

in torchdata/datapipes/iter/util/paragraphaggregator.py [0:0]


    def __iter__(self) -> Iterator[Tuple[str, str]]:
        buffer = []
        prev_filename = None
        for filename, line in self.source_datapipe:
            if prev_filename is None:
                prev_filename = filename
            if line and prev_filename == filename:
                buffer.append(line)
            else:
                if buffer:
                    yield prev_filename, self.joiner(buffer)  # type: ignore[misc]
                if line:
                    buffer = [line]
                else:
                    buffer = []
                prev_filename = filename
        if buffer:
            yield prev_filename, self.joiner(buffer)  # type: ignore[misc]